From bdba14e4a3efba5c995f655e840c490642ca70fa Mon Sep 17 00:00:00 2001 From: DamnPat Date: Mon, 6 Jan 2025 18:36:31 +0800 Subject: [PATCH] add proxy tools use case --- agents/maigctester/.evn.example | 0 agents/maigctester/more.md | 0 .../maigctester/src/maigctester/fi/README.md | 0 .../src/maigctester/fi/__init__.py | 0 .../src/maigctester/fi/agents/fundamentals.py | 167 + .../src/maigctester/fi/agents/market_data.py | 74 + .../fi/agents/portfolio_manager.py | 117 + .../src/maigctester/fi/agents/risk_manager.py | 159 + .../src/maigctester/fi/agents/sentiment.py | 59 + .../src/maigctester/fi/agents/state.py | 51 + .../src/maigctester/fi/agents/technicals.py | 652 + .../src/maigctester/fi/backtester.py | 153 + agents/maigctester/src/maigctester/fi/main.py | 100 + .../src/maigctester/fi/tools/api.py | 152 + agents/promptize/.gitignore | 12 + agents/promptize/intro.md | 0 agents/promptize/src/promptize/app.py | 8 + .../promptize/src/promptize/conf/__init__.py | 0 .../src/promptize/providers/__init__.py | 10 + .../promptize/providers/anthropic_gradio.py | 76 + .../src/promptize/providers/cohere_gradio.py | 120 + .../src/promptize/providers/crewai_gradio.py | 363 + .../promptize/providers/deepseek_gradio.py | 120 + .../promptize/providers/fireworks_gradio.py | 257 + .../src/promptize/providers/gemini_gradio.py | 760 + .../promptize/providers/hyperbolic_gradio.py | 326 + .../src/promptize/providers/lumaai_gradio.py | 164 + .../src/promptize/providers/openai_gradio.py | 235 + .../src/promptize/providers/qwen_gradio.py | 109 + .../promptize/providers/sambanova_gradio.py | 120 + .../promptize/providers/together_gradio.py | 120 + .../src/promptize/providers/xai_gradio.py | 105 + appkits/qpyapp/.devcontainer/environment.yml | 5 + appkits/qpyapp/.gitignore | 179 + appkits/qpyapp/README.md | 731 + appkits/qpyapp/alembic.ini | 116 + appkits/qpyapp/docs/How.md | 35 + appkits/qpyapp/docs/ai/warp-ai.md | 146 + appkits/qpyapp/docs/core/multimethods.py | 445 + appkits/qpyapp/docs/core/registeries.py | 247 + appkits/qpyapp/docs/core/test_multimethods.py | 301 + appkits/qpyapp/docs/core/test_registeries.py | 158 + appkits/qpyapp/docs/di.md | 39 + appkits/qpyapp/docs/di.py | 92 + appkits/qpyapp/docs/references.yaml | 50 + .../qpyapp/docs/revisited/1-setup/conda.md | 82 + .../docs/revisited/1-setup/jupterlan-setup.md | 8 + .../revisited/1-setup/pdm-poetry-setup.md | 36 + ...33\345\273\272\351\241\271\347\233\256.md" | 74 + ...40\351\231\244\344\276\235\350\265\226.md" | 74 + ...3-\345\246\202\344\275\225BuildPublish.md" | 93 + ...26\345\206\231\350\204\232\346\234\254.md" | 130 + ...02\344\275\225\351\205\215\347\275\256.md" | 84 + ...32\346\213\237\347\216\257\345\242\203.md" | 104 + ...37\345\221\275\345\221\250\346\234\237.md" | 64 + ...41\347\220\206\345\272\224\347\224\250.md" | 97 + .../revisited/1-setup/pdm/8-cheatsheet.md | 28 + .../docs/revisited/1-setup/poetry/1-poetry.md | 155 + .../revisited/2-excel-data/pandas-30min.md | 3 + appkits/qpyapp/docs/scope.py | 111 + appkits/qpyapp/every-chatgpt-ui.md | 92 + appkits/qpyapp/pyproject.toml | 47 +- appkits/qpyapp/src/qpyapp/ai/__init__.py | 10 + .../src/qpyapp/ai/providers/__init__.py | 264 + .../qpyapp/ai/providers/anthropic_gradio.py | 76 + .../src/qpyapp/ai/providers/cohere_gradio.py | 122 + .../src/qpyapp/ai/providers/crewai_gradio.py | 368 + .../qpyapp/ai/providers/deepseek_gradio.py | 122 + .../qpyapp/ai/providers/fireworks_gradio.py | 257 + .../src/qpyapp/ai/providers/gemini_gradio.py | 760 + .../qpyapp/ai/providers/hyperbolic_gradio.py | 330 + .../src/qpyapp/ai/providers/lumaai_gradio.py | 164 + .../src/qpyapp/ai/providers/openai_gradio.py | 235 + .../src/qpyapp/ai/providers/qwen_gradio.py | 109 + .../qpyapp/ai/providers/sambanova_gradio.py | 120 + .../qpyapp/ai/providers/together_gradio.py | 120 + .../src/qpyapp/ai/providers/xai_gradio.py | 105 + appkits/qpyapp/src/qpyapp/apps/__init__.py | 0 .../qpyapp/src/qpyapp/apps/ai_gradio_app.py | 11 + appkits/qpyapp/src/qpyapp/conf/__init__.py | 1 + appkits/qpyapp/src/qpyapp/conf/loaders.py | 5 + appkits/qpyapp/src/qpyapp/tasks/__init__.py | 0 appkits/qpyapp/src/qpyapp/tasks/base.py | 95 + appkits/qpyapp/src/qpyapp/tasks/containers.py | 72 + appkits/qpyapp/src/qpyapp/tasks/errors.py | 19 + appkits/qpyapp/src/qpyapp/tasks/exceptions.py | 10 + appkits/qpyapp/src/qpyapp/tasks/loaders.py | 87 + appkits/qpyapp/src/qpyapp/tasks/runner.py | 13 + appkits/qpyapp/src/qpyapp/tasks/runners.py | 25 + appkits/qpyapp/src/qpyapp/tasks/task.py | 79 + appkits/qpyapp/src/qpycases/__init__.py | 0 .../qpyapp/src/qpycases/auto_cut/__init__.py | 0 .../src/qpycases/proxy_checker/__init__.py | 1 + .../qpycases/proxy_checker/proxies_fetcher.py | 179 + .../src/qpycases/proxy_checker/verifier.py | 125 + appkits/qpyapp/src/qpynotes/__init__.py | 40 + .../src/qpynotes/basic/basic/04-list.ipynb | 324 + .../qpynotes/basic/basic/07-dict-all.ipynb | 264 + .../src/qpynotes/basic/basic/12_exceptions.py | 33 + .../src/qpynotes/basic/basic/13_modules.py | 22 + .../qpynotes/basic/basic/3-string-more.ipynb | 120 + .../qpynotes/basic/basic/4-oeprations.ipynb | 1039 + .../qpynotes/basic/basic/7-functions.ipynb | 1112 + .../src/qpynotes/basic/basic/dict.ipynb | 44 + .../basic/basic/features/email-sender.ipynb | 76 + .../qpynotes/basic/basic/features/emial.tpl | 4 + .../basic/basic/logging_printing.ipynb | 127 + .../src/qpynotes/basic/basic/my_module.py | 10 + .../qpynotes/basic/basic/nice-painting.ipynb | 220 + .../qpyapp/src/qpynotes/basic/basic/oop.ipynb | 119 + .../src/qpynotes/basic/basic/operator.ipynb | 80 + .../qpynotes/basic/basic/os_file_system.ipynb | 101 + .../src/qpynotes/basic/basic/variable.ipynb | 73 + .../src/qpynotes/basic/db/async-lib.ipynb | 1402 + .../src/qpynotes/basic/db/mixin/__init__.py | 1 + .../src/qpynotes/basic/db/mixin/repo.py | 56 + .../src/qpynotes/basic/db/mixin/sessions.py | 82 + .../basic/db/mixin/timestamp_mixin.py | 18 + .../qpynotes/basic/db/mixin/transactions.py | 19 + .../basic/db/sqlachemy-basic-sql.ipynb | 184 + .../qpynotes/basic/db/sqlachemy_demo.ipynb | 237 + .../qpynotes/basic/db/sqlachemy_setup.ipynb | 78 + .../basic/itermedia/args_keywords.ipynb | 59 + .../qpynotes/basic/itermedia/closures.ipynb | 259 + .../qpynotes/basic/itermedia/decorator.ipynb | 218 + .../qpynotes/basic/itermedia/generators.ipynb | 137 + .../qpynotes/basic/itermedia/iterators.ipynb | 189 + appkits/qpyapp/src/qpynotes/basic/result.md | 70 + appkits/qpyapp/src/qpynotes/notes_parser.py | 42 + .../src/qpynotes/topics/contextvars.ipynb | 33 + .../src/qpynotes/topics/crawler/basic.ipynb | 198 + .../topics/data_extraction/webdata.ipynb | 69 + .../src/qpynotes/topics/excel/README.md | 56 + .../topics/excel/excel-one-page.ipynb | 112 + .../qpyapp/src/qpynotes/topics/excel/user.csv | 4 + .../src/qpynotes/topics/excel/user.xlsx | Bin 0 -> 9179 bytes .../src/qpynotes/topics/jinja2-one-page.ipynb | 297 + .../src/qpynotes/topics/json-one-page.ipynb | 223 + .../topics/machine_learning_basics/LICENSE | 21 + .../topics/machine_learning_basics/README.md | 44 + .../bayesian_linear_regression.ipynb | 883 + .../data_preprocessing.ipynb | 1643 + .../decision_tree_classification.ipynb | 548 + .../decision_tree_regression.ipynb | 605 + .../figures/decision_tree.png | Bin 0 -> 23921 bytes .../figures/decision_tree_predictions.png | Bin 0 -> 37124 bytes .../figures/delimiting_hyperplanes.png | Bin 0 -> 42398 bytes .../figures/density_plot.png | Bin 0 -> 440606 bytes .../figures/dual_optimization_problem.png | Bin 0 -> 23174 bytes .../figures/example_straight_lines.png | Bin 0 -> 49071 bytes .../figures/feature_mapping_illustration.png | Bin 0 -> 60261 bytes .../figures/gradient_vs_subgradient.png | Bin 0 -> 63088 bytes .../figures/hinge_loss.png | Bin 0 -> 17897 bytes .../figures/image_preprocessing.png | Bin 0 -> 318266 bytes .../figures/linear_combinations.png | Bin 0 -> 54292 bytes .../figures/linear_regression.jpg | Bin 0 -> 23505 bytes .../figures/logistic_regression.jpg | Bin 0 -> 29009 bytes .../figures/maximum_margin_derivation.png | Bin 0 -> 29136 bytes .../figures/neural_net.png | Bin 0 -> 24861 bytes .../pca_digits_matrix_multiplications.png | Bin 0 -> 16739 bytes .../figures/pca_matrix_multiplications.png | Bin 0 -> 15617 bytes .../figures/perceptron_hyperplane.png | Bin 0 -> 31532 bytes .../figures/preprocessing.png | Bin 0 -> 7800 bytes .../figures/primal_optimization_problem.png | Bin 0 -> 13684 bytes .../figures/regression_tree.png | Bin 0 -> 16548 bytes .../figures/separating_hyperplanes.png | Bin 0 -> 81893 bytes .../figures/softmax_regression.jpg | Bin 0 -> 45145 bytes .../image_preprocessing.ipynb | 483 + .../k_nearest_neighbour.ipynb | 318 + .../machine_learning_basics/kmeans.ipynb | 296 + .../linear_regression.ipynb | 517 + .../logistic_regression.ipynb | 363 + .../machine_learning_basics/perceptron.ipynb | 366 + .../principal_component_analysis.ipynb | 622 + .../simple_neural_net.ipynb | 565 + .../softmax_regression.ipynb | 407 + .../support_vector_machines.ipynb | 891 + .../src/qpynotes/topics/maths/README.md | 3 + .../qpynotes/topics/maths/probablistic.ipynb | 31 + .../src/qpynotes/topics/pandas/.gitignore | 4 + .../topics/pandas/21_more_pandas_tricks.ipynb | 7139 + .../src/qpynotes/topics/pandas/README.md | 70 + .../src/qpynotes/topics/pandas/basic.ipynb | 582 + .../topics/pandas/basic_cheatsheet.ipynb | 37 + .../qpynotes/topics/pandas/data/chipotle.tsv | 4623 + .../qpynotes/topics/pandas/data/drinks.csv | 194 + .../qpynotes/topics/pandas/data/drinks1.csv | 194 + .../qpynotes/topics/pandas/data/drinks2.csv | 194 + .../topics/pandas/data/fake_items.csv | 4 + .../topics/pandas/data/fake_ratings.csv | 7 + .../qpynotes/topics/pandas/data/imdb_1000.csv | 980 + .../qpynotes/topics/pandas/data/stocks.csv | 10 + .../qpynotes/topics/pandas/data/stocks1.csv | 4 + .../qpynotes/topics/pandas/data/stocks2.csv | 4 + .../qpynotes/topics/pandas/data/stocks3.csv | 4 + .../topics/pandas/data/titanic_test.csv | 419 + .../topics/pandas/data/titanic_train.csv | 892 + .../src/qpynotes/topics/pandas/data/u.data | 100000 +++++++++++++++ .../src/qpynotes/topics/pandas/data/u.item | 1682 + .../src/qpynotes/topics/pandas/data/ufo.csv | 18242 +++ .../src/qpynotes/topics/pandas/pandas.ipynb | 22225 ++++ .../topics/pandas/pandas_changes.ipynb | 2014 + .../qpynotes/topics/pandas/pandas_merge.ipynb | 1701 + .../topics/pandas/pandas_multiindex.ipynb | 1822 + .../qpynotes/topics/pandas/pandas_plot.ipynb | 159 + .../topics/pandas/pandas_tricks.ipynb | 963 + .../topics/pandas/top_25_pandas_tricks.ipynb | 11564 ++ .../qpynotes/topics/pdf/pdf_handlers.ipynb | 37 + .../src/qpynotes/topics/prompts/__init__.py | 1 + .../topics/prompts/pdm-prompts.json.py | 5 + .../topics/prompts/prompts_generator.py | 22 + .../topics/prompts/test_prompts_generator.py | 22 + .../qpynotes/topics/pydantic-one-page.ipynb | 44 + .../qpyapp/src/qpynotes/topics/rags/README.md | 7 + .../topics/rags/rag_from_scratch.ipynb | 37 + .../rags/rag_from_scratch_10_and_11.ipynb | 698 + .../rags/rag_from_scratch_12_to_14.ipynb | 690 + .../rags/rag_from_scratch_15_to_18.ipynb | 405 + .../topics/rags/rag_from_scratch_1_to_4.ipynb | 527 + .../topics/rags/rag_from_scratch_5_to_9.ipynb | 908 + .../src/qpynotes/topics/templates/about.html | 8 + .../src/qpynotes/topics/templates/base.html | 14 + .../topics/tips/Every_Thing_About_Dark_Web.py | 40 + .../tips/Every_Thing_About_Git_Github.py | 112 + .../topics/tips/Every_Thing_About_HTML.html | 333 + .../topics/tips/Every_Thing_About_Linux.py | 234 + .../topics/tips/Every_Thing_About_MySQL.py | 226 + .../topics/tips/Every_Thing_About_Python.py | 3838 + .../tips/Netwrok+_Certification_Notes.py | 248 + .../src/qpynotes/topics/videos/ghostcut.ipynb | 93 + .../src/qpynotes/topics/videos/ghostcut.md | 140 + appkits/qpyapp/src/revisited/__init__.py | 0 .../revisited/r_code_structure/__init__.py | 0 .../r_code_structure/service_caller.py | 11 + .../r_code_structure/services/__init__.py | 4 + .../r_code_structure/services/util_lib.py | 32 + .../src/revisited/r_exceptions/__init__.py | 5 + .../qpyapp/src/revisited/r_exceptions/base.py | 8 + .../src/revisited/r_framework/__init__.py | 1 + .../r_framework/panther_async_api.py | 63 + appkits/qpyapp/src/revisited/r_logs/Info.py | 99 + .../qpyapp/src/revisited/r_logs/__init__.py | 0 appkits/qpyapp/src/revisited/r_logs/color.py | 35 + .../src/revisited/r_logs/error_print.py | 27 + appkits/qpyapp/src/revisited/r_logs/iprint.py | 54 + .../qpyapp/src/revisited/r_logs/rich_ext.py | 62 + .../qpyapp/src/revisited/r_pandas/__init__.py | 0 .../qpyapp/src/revisited/r_pandas/basic.py | 35 + .../qpyapp/src/revisited/r_pandas/user.csv | 4 + .../qpyapp/src/revisited/r_pandas/user.xlsx | Bin 0 -> 5077 bytes .../qpyapp/src/revisited/r_pdf/__init__.py | 0 .../qpyapp/src/revisited/r_pdf/r_parser.py | 280 + appkits/qpyapp/src/revisited/r_qa/__init__.py | 0 .../qpyapp/src/revisited/r_qa/differ_tools.py | 1 + .../src/revisited/r_usecases/__init__.py | 0 .../revisited/r_usecases/awesome/__init__.py | 0 .../r_usecases/awesome/awesome_generator.py | 12 + .../r_usecases/awesome/extractor/__init__.py | 1 + .../awesome/extractor/github_extractor.py | 52 + .../awesome/extractor/google_extractor.py | 121 + .../r_usecases/awesome/extractor/models.py | 178 + .../revisited/r_usecases/crawler/__init__.py | 0 .../r_usecases/crawler/cn_plants/__init__.py | 0 .../crawler/cn_plants/all_names.csv | 27679 ++++ .../r_usecases/crawler/cn_plants/fetcher.py | 345 + .../crawler/cn_plants/fetcher_bnk.py | 248 + .../r_usecases/crawler/cn_plants/gbif.py | 101 + .../r_usecases/crawler/cn_plants/models.py | 20 + .../crawler/cn_plants/plants_handlers.py | 323 + .../crawler/cn_plants/plants_pd_handlers.py | 282 + .../crawler/cn_plants/proxied_requests.py | 33 + .../r_usecases/crawler/cn_plants/runners.py | 101 + .../crawler/cn_plants/website_runner.py | 51 + ...-\347\273\217\347\272\254\345\272\246.csv" | 27680 ++++ ...7\346\234\254\344\277\241\346\201\257.csv" | 54523 ++++++++ ...62-230d-4378-a0c0-824287d3c089-result.json | 1 + appkits/qpyapp/tests/usecases/__init__.py | 0 .../tests/usecases/test_proxy_checker.py | 7 + datafarm/primary/intro-usage.md | 37 + .../primary/src/primary/adspower/README.md | 0 .../primary/src/primary/adspower/__init__.py | 1 + .../src/primary/adspower/_api_entity.py | 25 + .../src/primary/adspower/_base_category.py | 73 + .../src/primary/adspower/_base_group.py | 133 + .../src/primary/adspower/_base_http_client.py | 140 + .../src/primary/adspower/_base_profile_api.py | 568 + .../primary/adspower/async_api/__init__.py | 4 + .../adspower/async_api/_base_profile.py | 50 + .../primary/adspower/async_api/category.py | 37 + .../src/primary/adspower/async_api/group.py | 73 + .../primary/adspower/async_api/http_client.py | 121 + .../adspower/async_api/playwright/__init__.py | 1 + .../adspower/async_api/playwright/profile.py | 150 + .../primary/adspower/async_api/profile_api.py | 380 + .../adspower/async_api/selenium/__init__.py | 1 + .../adspower/async_api/selenium/profile.py | 163 + .../src/primary/adspower/exceptions.py | 73 + .../src/primary/adspower/sync_api/__init__.py | 4 + .../adspower/sync_api/_base_profile.py | 50 + .../src/primary/adspower/sync_api/category.py | 37 + .../src/primary/adspower/sync_api/group.py | 73 + .../primary/adspower/sync_api/http_client.py | 123 + .../adspower/sync_api/playwright/__init__.py | 1 + .../adspower/sync_api/playwright/profile.py | 150 + .../primary/adspower/sync_api/profile_api.py | 363 + .../adspower/sync_api/selenium/__init__.py | 1 + .../adspower/sync_api/selenium/profile.py | 164 + .../primary/src/primary/adspower/types.py | 139 + .../primary/src/primary/adspower/utils.py | 69 + datafarm/primary/tests/adspower/__init__.py | 0 .../primary/tests/adspower/test_async_api.py | 99 + .../primary/tests/adspower/test_sync_api.py | 89 + datafarm/primary/tests/conftest.py | 40 + 313 files changed, 329084 insertions(+), 5 deletions(-) create mode 100644 agents/maigctester/.evn.example create mode 100644 agents/maigctester/more.md create mode 100644 agents/maigctester/src/maigctester/fi/README.md create mode 100644 agents/maigctester/src/maigctester/fi/__init__.py create mode 100644 agents/maigctester/src/maigctester/fi/agents/fundamentals.py create mode 100644 agents/maigctester/src/maigctester/fi/agents/market_data.py create mode 100644 agents/maigctester/src/maigctester/fi/agents/portfolio_manager.py create mode 100644 agents/maigctester/src/maigctester/fi/agents/risk_manager.py create mode 100644 agents/maigctester/src/maigctester/fi/agents/sentiment.py create mode 100644 agents/maigctester/src/maigctester/fi/agents/state.py create mode 100644 agents/maigctester/src/maigctester/fi/agents/technicals.py create mode 100644 agents/maigctester/src/maigctester/fi/backtester.py create mode 100644 agents/maigctester/src/maigctester/fi/main.py create mode 100644 agents/maigctester/src/maigctester/fi/tools/api.py create mode 100644 agents/promptize/.gitignore create mode 100644 agents/promptize/intro.md create mode 100644 agents/promptize/src/promptize/app.py create mode 100644 agents/promptize/src/promptize/conf/__init__.py create mode 100644 agents/promptize/src/promptize/providers/__init__.py create mode 100644 agents/promptize/src/promptize/providers/anthropic_gradio.py create mode 100644 agents/promptize/src/promptize/providers/cohere_gradio.py create mode 100644 agents/promptize/src/promptize/providers/crewai_gradio.py create mode 100644 agents/promptize/src/promptize/providers/deepseek_gradio.py create mode 100644 agents/promptize/src/promptize/providers/fireworks_gradio.py create mode 100644 agents/promptize/src/promptize/providers/gemini_gradio.py create mode 100644 agents/promptize/src/promptize/providers/hyperbolic_gradio.py create mode 100644 agents/promptize/src/promptize/providers/lumaai_gradio.py create mode 100644 agents/promptize/src/promptize/providers/openai_gradio.py create mode 100644 agents/promptize/src/promptize/providers/qwen_gradio.py create mode 100644 agents/promptize/src/promptize/providers/sambanova_gradio.py create mode 100644 agents/promptize/src/promptize/providers/together_gradio.py create mode 100644 agents/promptize/src/promptize/providers/xai_gradio.py create mode 100644 appkits/qpyapp/.devcontainer/environment.yml create mode 100644 appkits/qpyapp/.gitignore create mode 100644 appkits/qpyapp/alembic.ini create mode 100644 appkits/qpyapp/docs/How.md create mode 100644 appkits/qpyapp/docs/ai/warp-ai.md create mode 100644 appkits/qpyapp/docs/core/multimethods.py create mode 100644 appkits/qpyapp/docs/core/registeries.py create mode 100644 appkits/qpyapp/docs/core/test_multimethods.py create mode 100644 appkits/qpyapp/docs/core/test_registeries.py create mode 100644 appkits/qpyapp/docs/di.md create mode 100644 appkits/qpyapp/docs/di.py create mode 100644 appkits/qpyapp/docs/references.yaml create mode 100644 appkits/qpyapp/docs/revisited/1-setup/conda.md create mode 100644 appkits/qpyapp/docs/revisited/1-setup/jupterlan-setup.md create mode 100644 appkits/qpyapp/docs/revisited/1-setup/pdm-poetry-setup.md create mode 100644 "appkits/qpyapp/docs/revisited/1-setup/pdm/1-\345\246\202\344\275\225\345\210\233\345\273\272\351\241\271\347\233\256.md" create mode 100644 "appkits/qpyapp/docs/revisited/1-setup/pdm/2-\345\246\202\344\275\225\345\256\211\350\243\205\345\222\214\345\210\240\351\231\244\344\276\235\350\265\226.md" create mode 100644 "appkits/qpyapp/docs/revisited/1-setup/pdm/3-\345\246\202\344\275\225BuildPublish.md" create mode 100644 "appkits/qpyapp/docs/revisited/1-setup/pdm/4-\345\246\202\344\275\225\347\274\226\345\206\231\350\204\232\346\234\254.md" create mode 100644 "appkits/qpyapp/docs/revisited/1-setup/pdm/5-\345\246\202\344\275\225\351\205\215\347\275\256.md" create mode 100644 "appkits/qpyapp/docs/revisited/1-setup/pdm/5-\347\256\241\347\220\206\350\231\232\346\213\237\347\216\257\345\242\203.md" create mode 100644 "appkits/qpyapp/docs/revisited/1-setup/pdm/6-\347\224\237\345\221\275\345\221\250\346\234\237.md" create mode 100644 "appkits/qpyapp/docs/revisited/1-setup/pdm/7-\347\256\241\347\220\206\345\272\224\347\224\250.md" create mode 100644 appkits/qpyapp/docs/revisited/1-setup/pdm/8-cheatsheet.md create mode 100644 appkits/qpyapp/docs/revisited/1-setup/poetry/1-poetry.md create mode 100644 appkits/qpyapp/docs/revisited/2-excel-data/pandas-30min.md create mode 100644 appkits/qpyapp/docs/scope.py create mode 100644 appkits/qpyapp/every-chatgpt-ui.md create mode 100644 appkits/qpyapp/src/qpyapp/ai/__init__.py create mode 100644 appkits/qpyapp/src/qpyapp/ai/providers/__init__.py create mode 100644 appkits/qpyapp/src/qpyapp/ai/providers/anthropic_gradio.py create mode 100644 appkits/qpyapp/src/qpyapp/ai/providers/cohere_gradio.py create mode 100644 appkits/qpyapp/src/qpyapp/ai/providers/crewai_gradio.py create mode 100644 appkits/qpyapp/src/qpyapp/ai/providers/deepseek_gradio.py create mode 100644 appkits/qpyapp/src/qpyapp/ai/providers/fireworks_gradio.py create mode 100644 appkits/qpyapp/src/qpyapp/ai/providers/gemini_gradio.py create mode 100644 appkits/qpyapp/src/qpyapp/ai/providers/hyperbolic_gradio.py create mode 100644 appkits/qpyapp/src/qpyapp/ai/providers/lumaai_gradio.py create mode 100644 appkits/qpyapp/src/qpyapp/ai/providers/openai_gradio.py create mode 100644 appkits/qpyapp/src/qpyapp/ai/providers/qwen_gradio.py create mode 100644 appkits/qpyapp/src/qpyapp/ai/providers/sambanova_gradio.py create mode 100644 appkits/qpyapp/src/qpyapp/ai/providers/together_gradio.py create mode 100644 appkits/qpyapp/src/qpyapp/ai/providers/xai_gradio.py create mode 100644 appkits/qpyapp/src/qpyapp/apps/__init__.py create mode 100644 appkits/qpyapp/src/qpyapp/apps/ai_gradio_app.py create mode 100644 appkits/qpyapp/src/qpyapp/conf/__init__.py create mode 100644 appkits/qpyapp/src/qpyapp/conf/loaders.py create mode 100644 appkits/qpyapp/src/qpyapp/tasks/__init__.py create mode 100644 appkits/qpyapp/src/qpyapp/tasks/base.py create mode 100644 appkits/qpyapp/src/qpyapp/tasks/containers.py create mode 100644 appkits/qpyapp/src/qpyapp/tasks/errors.py create mode 100644 appkits/qpyapp/src/qpyapp/tasks/exceptions.py create mode 100644 appkits/qpyapp/src/qpyapp/tasks/loaders.py create mode 100644 appkits/qpyapp/src/qpyapp/tasks/runner.py create mode 100644 appkits/qpyapp/src/qpyapp/tasks/runners.py create mode 100644 appkits/qpyapp/src/qpyapp/tasks/task.py create mode 100644 appkits/qpyapp/src/qpycases/__init__.py create mode 100644 appkits/qpyapp/src/qpycases/auto_cut/__init__.py create mode 100644 appkits/qpyapp/src/qpycases/proxy_checker/__init__.py create mode 100644 appkits/qpyapp/src/qpycases/proxy_checker/proxies_fetcher.py create mode 100644 appkits/qpyapp/src/qpycases/proxy_checker/verifier.py create mode 100644 appkits/qpyapp/src/qpynotes/__init__.py create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/04-list.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/07-dict-all.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/12_exceptions.py create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/13_modules.py create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/3-string-more.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/4-oeprations.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/7-functions.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/dict.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/features/email-sender.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/features/emial.tpl create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/logging_printing.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/my_module.py create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/nice-painting.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/oop.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/operator.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/os_file_system.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/basic/variable.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/db/async-lib.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/db/mixin/__init__.py create mode 100644 appkits/qpyapp/src/qpynotes/basic/db/mixin/repo.py create mode 100644 appkits/qpyapp/src/qpynotes/basic/db/mixin/sessions.py create mode 100644 appkits/qpyapp/src/qpynotes/basic/db/mixin/timestamp_mixin.py create mode 100644 appkits/qpyapp/src/qpynotes/basic/db/mixin/transactions.py create mode 100644 appkits/qpyapp/src/qpynotes/basic/db/sqlachemy-basic-sql.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/db/sqlachemy_demo.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/db/sqlachemy_setup.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/itermedia/args_keywords.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/itermedia/closures.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/itermedia/decorator.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/itermedia/generators.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/itermedia/iterators.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/basic/result.md create mode 100644 appkits/qpyapp/src/qpynotes/notes_parser.py create mode 100644 appkits/qpyapp/src/qpynotes/topics/contextvars.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/crawler/basic.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/data_extraction/webdata.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/excel/README.md create mode 100644 appkits/qpyapp/src/qpynotes/topics/excel/excel-one-page.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/excel/user.csv create mode 100644 appkits/qpyapp/src/qpynotes/topics/excel/user.xlsx create mode 100644 appkits/qpyapp/src/qpynotes/topics/jinja2-one-page.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/json-one-page.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/LICENSE create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/README.md create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/bayesian_linear_regression.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/data_preprocessing.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/decision_tree_classification.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/decision_tree_regression.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/decision_tree.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/decision_tree_predictions.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/delimiting_hyperplanes.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/density_plot.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/dual_optimization_problem.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/example_straight_lines.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/feature_mapping_illustration.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/gradient_vs_subgradient.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/hinge_loss.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/image_preprocessing.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/linear_combinations.png create mode 100755 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/linear_regression.jpg create mode 100755 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/logistic_regression.jpg create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/maximum_margin_derivation.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/neural_net.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/pca_digits_matrix_multiplications.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/pca_matrix_multiplications.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/perceptron_hyperplane.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/preprocessing.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/primal_optimization_problem.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/regression_tree.png create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/separating_hyperplanes.png create mode 100755 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/softmax_regression.jpg create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/image_preprocessing.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/k_nearest_neighbour.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/kmeans.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/linear_regression.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/logistic_regression.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/perceptron.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/principal_component_analysis.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/simple_neural_net.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/softmax_regression.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/support_vector_machines.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/maths/README.md create mode 100644 appkits/qpyapp/src/qpynotes/topics/maths/probablistic.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/.gitignore create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/21_more_pandas_tricks.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/README.md create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/basic.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/basic_cheatsheet.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/data/chipotle.tsv create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/data/drinks.csv create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/data/drinks1.csv create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/data/drinks2.csv create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/data/fake_items.csv create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/data/fake_ratings.csv create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/data/imdb_1000.csv create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks.csv create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks1.csv create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks2.csv create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks3.csv create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/data/titanic_test.csv create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/data/titanic_train.csv create mode 100755 appkits/qpyapp/src/qpynotes/topics/pandas/data/u.data create mode 100755 appkits/qpyapp/src/qpynotes/topics/pandas/data/u.item create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/data/ufo.csv create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/pandas.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/pandas_changes.ipynb create mode 100755 appkits/qpyapp/src/qpynotes/topics/pandas/pandas_merge.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/pandas_multiindex.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/pandas_plot.ipynb create mode 100755 appkits/qpyapp/src/qpynotes/topics/pandas/pandas_tricks.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/pandas/top_25_pandas_tricks.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/pdf/pdf_handlers.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/prompts/__init__.py create mode 100644 appkits/qpyapp/src/qpynotes/topics/prompts/pdm-prompts.json.py create mode 100644 appkits/qpyapp/src/qpynotes/topics/prompts/prompts_generator.py create mode 100644 appkits/qpyapp/src/qpynotes/topics/prompts/test_prompts_generator.py create mode 100644 appkits/qpyapp/src/qpynotes/topics/pydantic-one-page.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/rags/README.md create mode 100644 appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_10_and_11.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_12_to_14.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_15_to_18.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_1_to_4.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_5_to_9.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/templates/about.html create mode 100644 appkits/qpyapp/src/qpynotes/topics/templates/base.html create mode 100644 appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Dark_Web.py create mode 100644 appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Git_Github.py create mode 100644 appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_HTML.html create mode 100644 appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Linux.py create mode 100644 appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_MySQL.py create mode 100644 appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Python.py create mode 100644 appkits/qpyapp/src/qpynotes/topics/tips/Netwrok+_Certification_Notes.py create mode 100644 appkits/qpyapp/src/qpynotes/topics/videos/ghostcut.ipynb create mode 100644 appkits/qpyapp/src/qpynotes/topics/videos/ghostcut.md create mode 100644 appkits/qpyapp/src/revisited/__init__.py create mode 100644 appkits/qpyapp/src/revisited/r_code_structure/__init__.py create mode 100644 appkits/qpyapp/src/revisited/r_code_structure/service_caller.py create mode 100644 appkits/qpyapp/src/revisited/r_code_structure/services/__init__.py create mode 100644 appkits/qpyapp/src/revisited/r_code_structure/services/util_lib.py create mode 100644 appkits/qpyapp/src/revisited/r_exceptions/__init__.py create mode 100644 appkits/qpyapp/src/revisited/r_exceptions/base.py create mode 100644 appkits/qpyapp/src/revisited/r_framework/__init__.py create mode 100644 appkits/qpyapp/src/revisited/r_framework/panther_async_api.py create mode 100644 appkits/qpyapp/src/revisited/r_logs/Info.py create mode 100644 appkits/qpyapp/src/revisited/r_logs/__init__.py create mode 100644 appkits/qpyapp/src/revisited/r_logs/color.py create mode 100644 appkits/qpyapp/src/revisited/r_logs/error_print.py create mode 100644 appkits/qpyapp/src/revisited/r_logs/iprint.py create mode 100644 appkits/qpyapp/src/revisited/r_logs/rich_ext.py create mode 100644 appkits/qpyapp/src/revisited/r_pandas/__init__.py create mode 100644 appkits/qpyapp/src/revisited/r_pandas/basic.py create mode 100644 appkits/qpyapp/src/revisited/r_pandas/user.csv create mode 100644 appkits/qpyapp/src/revisited/r_pandas/user.xlsx create mode 100644 appkits/qpyapp/src/revisited/r_pdf/__init__.py create mode 100644 appkits/qpyapp/src/revisited/r_pdf/r_parser.py create mode 100644 appkits/qpyapp/src/revisited/r_qa/__init__.py create mode 100644 appkits/qpyapp/src/revisited/r_qa/differ_tools.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/__init__.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/awesome/__init__.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/awesome/awesome_generator.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/__init__.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/github_extractor.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/google_extractor.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/models.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/crawler/__init__.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/__init__.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/all_names.csv create mode 100644 appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/fetcher.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/fetcher_bnk.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/gbif.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/models.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/plants_handlers.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/plants_pd_handlers.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/proxied_requests.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/runners.py create mode 100644 appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/website_runner.py create mode 100644 "appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/\345\220\215\347\247\260-\347\273\217\347\272\254\345\272\246.csv" create mode 100644 "appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/\346\211\200\346\234\211\346\240\207\346\234\254\344\277\241\346\201\257.csv" create mode 100644 appkits/qpyapp/tests/allure-results/7d79a662-230d-4378-a0c0-824287d3c089-result.json create mode 100644 appkits/qpyapp/tests/usecases/__init__.py create mode 100644 appkits/qpyapp/tests/usecases/test_proxy_checker.py create mode 100644 datafarm/primary/intro-usage.md create mode 100644 datafarm/primary/src/primary/adspower/README.md create mode 100644 datafarm/primary/src/primary/adspower/__init__.py create mode 100644 datafarm/primary/src/primary/adspower/_api_entity.py create mode 100644 datafarm/primary/src/primary/adspower/_base_category.py create mode 100644 datafarm/primary/src/primary/adspower/_base_group.py create mode 100644 datafarm/primary/src/primary/adspower/_base_http_client.py create mode 100644 datafarm/primary/src/primary/adspower/_base_profile_api.py create mode 100644 datafarm/primary/src/primary/adspower/async_api/__init__.py create mode 100644 datafarm/primary/src/primary/adspower/async_api/_base_profile.py create mode 100644 datafarm/primary/src/primary/adspower/async_api/category.py create mode 100644 datafarm/primary/src/primary/adspower/async_api/group.py create mode 100644 datafarm/primary/src/primary/adspower/async_api/http_client.py create mode 100644 datafarm/primary/src/primary/adspower/async_api/playwright/__init__.py create mode 100644 datafarm/primary/src/primary/adspower/async_api/playwright/profile.py create mode 100644 datafarm/primary/src/primary/adspower/async_api/profile_api.py create mode 100644 datafarm/primary/src/primary/adspower/async_api/selenium/__init__.py create mode 100644 datafarm/primary/src/primary/adspower/async_api/selenium/profile.py create mode 100644 datafarm/primary/src/primary/adspower/exceptions.py create mode 100644 datafarm/primary/src/primary/adspower/sync_api/__init__.py create mode 100644 datafarm/primary/src/primary/adspower/sync_api/_base_profile.py create mode 100644 datafarm/primary/src/primary/adspower/sync_api/category.py create mode 100644 datafarm/primary/src/primary/adspower/sync_api/group.py create mode 100644 datafarm/primary/src/primary/adspower/sync_api/http_client.py create mode 100644 datafarm/primary/src/primary/adspower/sync_api/playwright/__init__.py create mode 100644 datafarm/primary/src/primary/adspower/sync_api/playwright/profile.py create mode 100644 datafarm/primary/src/primary/adspower/sync_api/profile_api.py create mode 100644 datafarm/primary/src/primary/adspower/sync_api/selenium/__init__.py create mode 100644 datafarm/primary/src/primary/adspower/sync_api/selenium/profile.py create mode 100644 datafarm/primary/src/primary/adspower/types.py create mode 100644 datafarm/primary/src/primary/adspower/utils.py create mode 100644 datafarm/primary/tests/adspower/__init__.py create mode 100644 datafarm/primary/tests/adspower/test_async_api.py create mode 100644 datafarm/primary/tests/adspower/test_sync_api.py create mode 100644 datafarm/primary/tests/conftest.py diff --git a/agents/maigctester/.evn.example b/agents/maigctester/.evn.example new file mode 100644 index 0000000..e69de29 diff --git a/agents/maigctester/more.md b/agents/maigctester/more.md new file mode 100644 index 0000000..e69de29 diff --git a/agents/maigctester/src/maigctester/fi/README.md b/agents/maigctester/src/maigctester/fi/README.md new file mode 100644 index 0000000..e69de29 diff --git a/agents/maigctester/src/maigctester/fi/__init__.py b/agents/maigctester/src/maigctester/fi/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/agents/maigctester/src/maigctester/fi/agents/fundamentals.py b/agents/maigctester/src/maigctester/fi/agents/fundamentals.py new file mode 100644 index 0000000..8b5dc04 --- /dev/null +++ b/agents/maigctester/src/maigctester/fi/agents/fundamentals.py @@ -0,0 +1,167 @@ + +from langchain_core.messages import HumanMessage + +from agents.state import AgentState, show_agent_reasoning + +import json + +##### Fundamental Agent ##### +def fundamentals_agent(state: AgentState): + """Analyzes fundamental data and generates trading signals.""" + show_reasoning = state["metadata"]["show_reasoning"] + data = state["data"] + metrics = data["financial_metrics"][0] + financial_line_item = data["financial_line_items"][0] + market_cap = data["market_cap"] + + # Initialize signals list for different fundamental aspects + signals = [] + reasoning = {} + + # 1. Profitability Analysis + profitability_score = 0 + if metrics["return_on_equity"] > 0.15: # Strong ROE above 15% + profitability_score += 1 + if metrics["net_margin"] > 0.20: # Healthy profit margins + profitability_score += 1 + if metrics["operating_margin"] > 0.15: # Strong operating efficiency + profitability_score += 1 + + signals.append('bullish' if profitability_score >= 2 else 'bearish' if profitability_score == 0 else 'neutral') + reasoning["Profitability"] = { + "signal": signals[0], + "details": f"ROE: {metrics['return_on_equity']:.2%}, Net Margin: {metrics['net_margin']:.2%}, Op Margin: {metrics['operating_margin']:.2%}" + } + + # 2. Growth Analysis + growth_score = 0 + if metrics["revenue_growth"] > 0.10: # 10% revenue growth + growth_score += 1 + if metrics["earnings_growth"] > 0.10: # 10% earnings growth + growth_score += 1 + if metrics["book_value_growth"] > 0.10: # 10% book value growth + growth_score += 1 + + signals.append('bullish' if growth_score >= 2 else 'bearish' if growth_score == 0 else 'neutral') + reasoning["Growth"] = { + "signal": signals[1], + "details": f"Revenue Growth: {metrics['revenue_growth']:.2%}, Earnings Growth: {metrics['earnings_growth']:.2%}" + } + + # 3. Financial Health + health_score = 0 + if metrics["current_ratio"] > 1.5: # Strong liquidity + health_score += 1 + if metrics["debt_to_equity"] < 0.5: # Conservative debt levels + health_score += 1 + if metrics["free_cash_flow_per_share"] > metrics["earnings_per_share"] * 0.8: # Strong FCF conversion + health_score += 1 + + signals.append('bullish' if health_score >= 2 else 'bearish' if health_score == 0 else 'neutral') + reasoning["Financial_Health"] = { + "signal": signals[2], + "details": f"Current Ratio: {metrics['current_ratio']:.2f}, D/E: {metrics['debt_to_equity']:.2f}" + } + + # 4. Price to X ratios + pe_ratio = metrics["price_to_earnings_ratio"] + pb_ratio = metrics["price_to_book_ratio"] + ps_ratio = metrics["price_to_sales_ratio"] + + price_ratio_score = 0 + if pe_ratio < 25: # Reasonable P/E ratio + price_ratio_score += 1 + if pb_ratio < 3: # Reasonable P/B ratio + price_ratio_score += 1 + if ps_ratio < 5: # Reasonable P/S ratio + price_ratio_score += 1 + + signals.append('bullish' if price_ratio_score >= 2 else 'bearish' if price_ratio_score == 0 else 'neutral') + reasoning["Price_Ratios"] = { + "signal": signals[3], + "details": f"P/E: {pe_ratio:.2f}, P/B: {pb_ratio:.2f}, P/S: {ps_ratio:.2f}" + } + + # 5. Calculate intrinsic value and compare to market cap + free_cash_flow = financial_line_item.get('free_cash_flow') + intrinsic_value = calculate_intrinsic_value( + free_cash_flow=free_cash_flow, + growth_rate=metrics["earnings_growth"], + discount_rate=0.10, + terminal_growth_rate=0.03, + num_years=5, + ) + if market_cap < intrinsic_value: + signals.append('bullish') + else: + signals.append('bearish') + + reasoning["Intrinsic_Value"] = { + "signal": signals[4], + "details": f"Intrinsic Value: ${intrinsic_value:,.2f}, Market Cap: ${market_cap:,.2f}" + } + + # Determine overall signal + bullish_signals = signals.count('bullish') + bearish_signals = signals.count('bearish') + + if bullish_signals > bearish_signals: + overall_signal = 'bullish' + elif bearish_signals > bullish_signals: + overall_signal = 'bearish' + else: + overall_signal = 'neutral' + + # Calculate confidence level + total_signals = len(signals) + confidence = max(bullish_signals, bearish_signals) / total_signals + + message_content = { + "signal": overall_signal, + "confidence": f"{round(confidence * 100)}%", + "reasoning": reasoning + } + + # Create the fundamental analysis message + message = HumanMessage( + content=json.dumps(message_content), + name="fundamentals_agent", + ) + + # Print the reasoning if the flag is set + if show_reasoning: + show_agent_reasoning(message_content, "Fundamental Analysis Agent") + + return { + "messages": [message], + "data": data, + } + +def calculate_intrinsic_value( + free_cash_flow: float, + growth_rate: float = 0.05, + discount_rate: float = 0.10, + terminal_growth_rate: float = 0.02, + num_years: int = 5, +) -> float: + """ + Computes the discounted cash flow (DCF) for a given company based on the current free cash flow. + Use this function to calculate the intrinsic value of a stock. + """ + # Estimate the future cash flows based on the growth rate + cash_flows = [free_cash_flow * (1 + growth_rate) ** i for i in range(num_years)] + + # Calculate the present value of projected cash flows + present_values = [] + for i in range(num_years): + present_value = cash_flows[i] / (1 + discount_rate) ** (i + 1) + present_values.append(present_value) + + # Calculate the terminal value + terminal_value = cash_flows[-1] * (1 + terminal_growth_rate) / (discount_rate - terminal_growth_rate) + terminal_present_value = terminal_value / (1 + discount_rate) ** num_years + + # Sum up the present values and terminal value + dcf_value = sum(present_values) + terminal_present_value + + return dcf_value \ No newline at end of file diff --git a/agents/maigctester/src/maigctester/fi/agents/market_data.py b/agents/maigctester/src/maigctester/fi/agents/market_data.py new file mode 100644 index 0000000..735ce2a --- /dev/null +++ b/agents/maigctester/src/maigctester/fi/agents/market_data.py @@ -0,0 +1,74 @@ + +from langchain_openai.chat_models import ChatOpenAI + +from agents.state import AgentState +from tools.api import search_line_items, get_financial_metrics, get_insider_trades, get_market_cap, get_prices + +from datetime import datetime + +llm = ChatOpenAI(model="gpt-4o") + +def market_data_agent(state: AgentState): + """Responsible for gathering and preprocessing market data""" + messages = state["messages"] + data = state["data"] + + # Set default dates + end_date = data["end_date"] or datetime.now().strftime('%Y-%m-%d') + if not data["start_date"]: + # Calculate 3 months before end_date + end_date_obj = datetime.strptime(end_date, '%Y-%m-%d') + start_date = end_date_obj.replace(month=end_date_obj.month - 3) if end_date_obj.month > 3 else \ + end_date_obj.replace(year=end_date_obj.year - 1, month=end_date_obj.month + 9) + start_date = start_date.strftime('%Y-%m-%d') + else: + start_date = data["start_date"] + + # Get the historical price data + prices = get_prices( + ticker=data["ticker"], + start_date=start_date, + end_date=end_date, + ) + + # Get the financial metrics + financial_metrics = get_financial_metrics( + ticker=data["ticker"], + report_period=end_date, + period='ttm', + limit=1, + ) + + # Get the insider trades + insider_trades = get_insider_trades( + ticker=data["ticker"], + end_date=end_date, + limit=5, + ) + + # Get the market cap + market_cap = get_market_cap( + ticker=data["ticker"], + ) + + # Get the line_items + financial_line_items = search_line_items( + ticker=data["ticker"], + line_items=["free_cash_flow"], + period='ttm', + limit=1, + ) + + return { + "messages": messages, + "data": { + **data, + "prices": prices, + "start_date": start_date, + "end_date": end_date, + "financial_metrics": financial_metrics, + "insider_trades": insider_trades, + "market_cap": market_cap, + "financial_line_items": financial_line_items, + } + } \ No newline at end of file diff --git a/agents/maigctester/src/maigctester/fi/agents/portfolio_manager.py b/agents/maigctester/src/maigctester/fi/agents/portfolio_manager.py new file mode 100644 index 0000000..01960a0 --- /dev/null +++ b/agents/maigctester/src/maigctester/fi/agents/portfolio_manager.py @@ -0,0 +1,117 @@ + +from langchain_core.messages import HumanMessage +from langchain_core.prompts import ChatPromptTemplate +from langchain_openai.chat_models import ChatOpenAI + +from agents.state import AgentState, show_agent_reasoning + + +##### Portfolio Management Agent ##### +def portfolio_management_agent(state: AgentState): + """Makes final trading decisions and generates orders""" + show_reasoning = state["metadata"]["show_reasoning"] + portfolio = state["data"]["portfolio"] + + # Get the technical analyst, fundamentals agent, and risk management agent messages + technical_message = next(msg for msg in state["messages"] if msg.name == "technical_analyst_agent") + fundamentals_message = next(msg for msg in state["messages"] if msg.name == "fundamentals_agent") + sentiment_message = next(msg for msg in state["messages"] if msg.name == "sentiment_agent") + risk_message = next(msg for msg in state["messages"] if msg.name == "risk_management_agent") + + # Create the prompt template + template = ChatPromptTemplate.from_messages( + [ + ( + "system", + """You are a portfolio manager making final trading decisions. + Your job is to make a trading decision based on the team's analysis while strictly adhering + to risk management constraints. + + RISK MANAGEMENT CONSTRAINTS: + - You MUST NOT exceed the max_position_size specified by the risk manager + - You MUST follow the trading_action (buy/sell/hold) recommended by risk management + - These are hard constraints that cannot be overridden by other signals + + When weighing the different signals for direction and timing: + 1. Fundamental Analysis (50% weight) + - Primary driver of trading decisions + - Should determine overall direction + + 2. Technical Analysis (35% weight) + - Secondary confirmation + - Helps with entry/exit timing + + 3. Sentiment Analysis (15% weight) + - Final consideration + - Can influence sizing within risk limits + + The decision process should be: + 1. First check risk management constraints + 2. Then evaluate fundamental outlook + 3. Use technical analysis for timing + 4. Consider sentiment for final adjustment + + Provide the following in your output: + - "action": "buy" | "sell" | "hold", + - "quantity": + - "confidence": + - "agent_signals": + - "reasoning": + + Trading Rules: + - Never exceed risk management position limits + - Only buy if you have available cash + - Only sell if you have shares to sell + - Quantity must be ≤ current position for sells + - Quantity must be ≤ max_position_size from risk management""" + ), + ( + "human", + """Based on the team's analysis below, make your trading decision. + + Technical Analysis Trading Signal: {technical_message} + Fundamental Analysis Trading Signal: {fundamentals_message} + Sentiment Analysis Trading Signal: {sentiment_message} + Risk Management Trading Signal: {risk_message} + + Here is the current portfolio: + Portfolio: + Cash: {portfolio_cash} + Current Position: {portfolio_stock} shares + + Only include the action, quantity, reasoning, confidence, and agent_signals in your output as JSON. Do not include any JSON markdown. + + Remember, the action must be either buy, sell, or hold. + You can only buy if you have available cash. + You can only sell if you have shares in the portfolio to sell. + """ + ), + ] + ) + + # Generate the prompt + prompt = template.invoke( + { + "technical_message": technical_message.content, + "fundamentals_message": fundamentals_message.content, + "sentiment_message": sentiment_message.content, + "risk_message": risk_message.content, + "portfolio_cash": f"{portfolio['cash']:.2f}", + "portfolio_stock": portfolio["stock"] + } + ) + # Invoke the LLM + llm = ChatOpenAI(model="gpt-4o") + result = llm.invoke(prompt) + + # Create the portfolio management message + message = HumanMessage( + content=result.content, + name="portfolio_management", + ) + + # Print the decision if the flag is set + if show_reasoning: + show_agent_reasoning(message.content, "Portfolio Management Agent") + + return {"messages": state["messages"] + [message]} \ No newline at end of file diff --git a/agents/maigctester/src/maigctester/fi/agents/risk_manager.py b/agents/maigctester/src/maigctester/fi/agents/risk_manager.py new file mode 100644 index 0000000..af3d14f --- /dev/null +++ b/agents/maigctester/src/maigctester/fi/agents/risk_manager.py @@ -0,0 +1,159 @@ +import math + +from langchain_core.messages import HumanMessage + +from agents.state import AgentState, show_agent_reasoning +from tools.api import prices_to_df + +import json +import ast + +##### Risk Management Agent ##### +def risk_management_agent(state: AgentState): + """Evaluates portfolio risk and sets position limits based on comprehensive risk analysis.""" + show_reasoning = state["metadata"]["show_reasoning"] + portfolio = state["data"]["portfolio"] + data = state["data"] + + prices_df = prices_to_df(data["prices"]) + + # Fetch messages from other agents + technical_message = next(msg for msg in state["messages"] if msg.name == "technical_analyst_agent") + fundamentals_message = next(msg for msg in state["messages"] if msg.name == "fundamentals_agent") + sentiment_message = next(msg for msg in state["messages"] if msg.name == "sentiment_agent") + + try: + fundamental_signals = json.loads(fundamentals_message.content) + technical_signals = json.loads(technical_message.content) + sentiment_signals = json.loads(sentiment_message.content) + except Exception as e: + fundamental_signals = ast.literal_eval(fundamentals_message.content) + technical_signals = ast.literal_eval(technical_message.content) + sentiment_signals = ast.literal_eval(sentiment_message.content) + + agent_signals = { + "fundamental": fundamental_signals, + "technical": technical_signals, + "sentiment": sentiment_signals + } + + # 1. Calculate Risk Metrics + returns = prices_df['close'].pct_change().dropna() + daily_vol = returns.std() + volatility = daily_vol * (252 ** 0.5) # Annualized volatility approximation + var_95 = returns.quantile(0.05) # Simple historical VaR at 95% confidence + max_drawdown = (prices_df['close'] / prices_df['close'].cummax() - 1).min() + + # 2. Market Risk Assessment + market_risk_score = 0 + + # Volatility scoring + if volatility > 0.30: # High volatility + market_risk_score += 2 + elif volatility > 0.20: # Moderate volatility + market_risk_score += 1 + + # VaR scoring + # Note: var_95 is typically negative. The more negative, the worse. + if var_95 < -0.03: + market_risk_score += 2 + elif var_95 < -0.02: + market_risk_score += 1 + + # Max Drawdown scoring + if max_drawdown < -0.20: # Severe drawdown + market_risk_score += 2 + elif max_drawdown < -0.10: + market_risk_score += 1 + + # 3. Position Size Limits + # Consider total portfolio value, not just cash + current_stock_value = portfolio['stock'] * prices_df['close'].iloc[-1] + total_portfolio_value = portfolio['cash'] + current_stock_value + + base_position_size = total_portfolio_value * 0.25 # Start with 25% max position of total portfolio + + if market_risk_score >= 4: + # Reduce position for high risk + max_position_size = base_position_size * 0.5 + elif market_risk_score >= 2: + # Slightly reduce for moderate risk + max_position_size = base_position_size * 0.75 + else: + # Keep base size for low risk + max_position_size = base_position_size + + # 4. Stress Testing + stress_test_scenarios = { + "market_crash": -0.20, + "moderate_decline": -0.10, + "slight_decline": -0.05 + } + + stress_test_results = {} + current_position_value = current_stock_value + + for scenario, decline in stress_test_scenarios.items(): + potential_loss = current_position_value * decline + portfolio_impact = potential_loss / (portfolio['cash'] + current_position_value) if (portfolio['cash'] + current_position_value) != 0 else math.nan + stress_test_results[scenario] = { + "potential_loss": potential_loss, + "portfolio_impact": portfolio_impact + } + + # 5. Risk-Adjusted Signals Analysis + # Convert all confidences to numeric for proper comparison + def parse_confidence(conf_str): + return float(conf_str.replace('%', '')) / 100.0 + low_confidence = any(parse_confidence(signal['confidence']) < 0.30 for signal in agent_signals.values()) + + # Check the diversity of signals. If all three differ, add to risk score + # (signal divergence can be seen as increased uncertainty) + unique_signals = set(signal['signal'] for signal in agent_signals.values()) + signal_divergence = (2 if len(unique_signals) == 3 else 0) + + risk_score = (market_risk_score * 2) # Market risk contributes up to ~6 points total when doubled + if low_confidence: + risk_score += 4 # Add penalty if any signal confidence < 30% + risk_score += signal_divergence + + # Cap risk score at 10 + risk_score = min(round(risk_score), 10) + + # 6. Generate Trading Action + # If risk is very high, hold. If moderately high, consider reducing. + # Else, follow fundamental signal as a baseline. + if risk_score >= 8: + trading_action = "hold" + elif risk_score >= 6: + trading_action = "reduce" + else: + trading_action = agent_signals['fundamental']['signal'] + + message_content = { + "max_position_size": float(max_position_size), + "risk_score": risk_score, + "trading_action": trading_action, + "risk_metrics": { + "volatility": float(volatility), + "value_at_risk_95": float(var_95), + "max_drawdown": float(max_drawdown), + "market_risk_score": market_risk_score, + "stress_test_results": stress_test_results + }, + "reasoning": f"Risk Score {risk_score}/10: Market Risk={market_risk_score}, " + f"Volatility={volatility:.2%}, VaR={var_95:.2%}, " + f"Max Drawdown={max_drawdown:.2%}" + } + + # Create the risk management message + message = HumanMessage( + content=json.dumps(message_content), + name="risk_management_agent", + ) + + if show_reasoning: + show_agent_reasoning(message_content, "Risk Management Agent") + + return {"messages": state["messages"] + [message]} + diff --git a/agents/maigctester/src/maigctester/fi/agents/sentiment.py b/agents/maigctester/src/maigctester/fi/agents/sentiment.py new file mode 100644 index 0000000..d5bd3b3 --- /dev/null +++ b/agents/maigctester/src/maigctester/fi/agents/sentiment.py @@ -0,0 +1,59 @@ + +from langchain_core.messages import HumanMessage + +from agents.state import AgentState, show_agent_reasoning + +import json + +##### Sentiment Agent ##### +def sentiment_agent(state: AgentState): + """Analyzes market sentiment and generates trading signals.""" + data = state["data"] + insider_trades = data["insider_trades"] + show_reasoning = state["metadata"]["show_reasoning"] + + # Loop through the insider trades, if transaction_shares is negative, then it is a sell, which is bearish, if positive, then it is a buy, which is bullish + signals = [] + for trade in insider_trades: + transaction_shares = trade["transaction_shares"] + if not transaction_shares: + continue + if transaction_shares < 0: + signals.append("bearish") + else: + signals.append("bullish") + + # Determine overall signal + bullish_signals = signals.count("bullish") + bearish_signals = signals.count("bearish") + if bullish_signals > bearish_signals: + overall_signal = "bullish" + elif bearish_signals > bullish_signals: + overall_signal = "bearish" + else: + overall_signal = "neutral" + + # Calculate confidence level based on the proportion of indicators agreeing + total_signals = len(signals) + confidence = max(bullish_signals, bearish_signals) / total_signals + + message_content = { + "signal": overall_signal, + "confidence": f"{round(confidence * 100)}%", + "reasoning": f"Bullish signals: {bullish_signals}, Bearish signals: {bearish_signals}" + } + + # Print the reasoning if the flag is set + if show_reasoning: + show_agent_reasoning(message_content, "Sentiment Analysis Agent") + + # Create the sentiment message + message = HumanMessage( + content=json.dumps(message_content), + name="sentiment_agent", + ) + + return { + "messages": [message], + "data": data, + } diff --git a/agents/maigctester/src/maigctester/fi/agents/state.py b/agents/maigctester/src/maigctester/fi/agents/state.py new file mode 100644 index 0000000..2a281b4 --- /dev/null +++ b/agents/maigctester/src/maigctester/fi/agents/state.py @@ -0,0 +1,51 @@ +from typing import Annotated, Any, Dict, Sequence, TypedDict + +import operator +from langchain_core.messages import BaseMessage + + +import json + + +def merge_dicts(a: Dict[str, Any], b: Dict[str, Any]) -> Dict[str, Any]: + return {**a, **b} + +# Define agent state +class AgentState(TypedDict): + messages: Annotated[Sequence[BaseMessage], operator.add] + data: Annotated[Dict[str, Any], merge_dicts] + metadata: Annotated[Dict[str, Any], merge_dicts] + + + +def show_agent_reasoning(output, agent_name): + print(f"\n{'=' * 10} {agent_name.center(28)} {'=' * 10}") + + def convert_to_serializable(obj): + if hasattr(obj, 'to_dict'): # Handle Pandas Series/DataFrame + return obj.to_dict() + elif hasattr(obj, '__dict__'): # Handle custom objects + return obj.__dict__ + elif isinstance(obj, (int, float, bool, str)): + return obj + elif isinstance(obj, (list, tuple)): + return [convert_to_serializable(item) for item in obj] + elif isinstance(obj, dict): + return {key: convert_to_serializable(value) for key, value in obj.items()} + else: + return str(obj) # Fallback to string representation + + if isinstance(output, (dict, list)): + # Convert the output to JSON-serializable format + serializable_output = convert_to_serializable(output) + print(json.dumps(serializable_output, indent=2)) + else: + try: + # Parse the string as JSON and pretty print it + parsed_output = json.loads(output) + print(json.dumps(parsed_output, indent=2)) + except json.JSONDecodeError: + # Fallback to original string if not valid JSON + print(output) + + print("=" * 48) \ No newline at end of file diff --git a/agents/maigctester/src/maigctester/fi/agents/technicals.py b/agents/maigctester/src/maigctester/fi/agents/technicals.py new file mode 100644 index 0000000..1e5fcd7 --- /dev/null +++ b/agents/maigctester/src/maigctester/fi/agents/technicals.py @@ -0,0 +1,652 @@ +import math +from typing import Dict + +from langchain_core.messages import HumanMessage + +from agents.state import AgentState, show_agent_reasoning + +import json +import pandas as pd +import numpy as np + +from tools.api import prices_to_df + + +##### Technical Analyst ##### +def technical_analyst_agent(state: AgentState): + """ + Sophisticated technical analysis system that combines multiple trading strategies: + 1. Trend Following + 2. Mean Reversion + 3. Momentum + 4. Volatility Analysis + 5. Statistical Arbitrage Signals + """ + show_reasoning = state["metadata"]["show_reasoning"] + data = state["data"] + prices = data["prices"] + prices_df = prices_to_df(prices) + + # Calculate indicators + # 1. MACD (Moving Average Convergence Divergence) + macd_line, signal_line = calculate_macd(prices_df) + + # 2. RSI (Relative Strength Index) + rsi = calculate_rsi(prices_df) + + # 3. Bollinger Bands (Bollinger Bands) + upper_band, lower_band = calculate_bollinger_bands(prices_df) + + # 4. OBV (On-Balance Volume) + obv = calculate_obv(prices_df) + + # Generate individual signals + signals = [] + + # MACD signal + if macd_line.iloc[-2] < signal_line.iloc[-2] and macd_line.iloc[-1] > signal_line.iloc[-1]: + signals.append('bullish') + elif macd_line.iloc[-2] > signal_line.iloc[-2] and macd_line.iloc[-1] < signal_line.iloc[-1]: + signals.append('bearish') + else: + signals.append('neutral') + + # RSI signal + if rsi.iloc[-1] < 30: + signals.append('bullish') + elif rsi.iloc[-1] > 70: + signals.append('bearish') + else: + signals.append('neutral') + + # Bollinger Bands signal + current_price = prices_df['close'].iloc[-1] + if current_price < lower_band.iloc[-1]: + signals.append('bullish') + elif current_price > upper_band.iloc[-1]: + signals.append('bearish') + else: + signals.append('neutral') + + # OBV signal + obv_slope = obv.diff().iloc[-5:].mean() + if obv_slope > 0: + signals.append('bullish') + elif obv_slope < 0: + signals.append('bearish') + else: + signals.append('neutral') + + # Add reasoning collection + reasoning = { + "MACD": { + "signal": signals[0], + "details": f"MACD Line crossed {'above' if signals[0] == 'bullish' else 'below' if signals[0] == 'bearish' else 'neither above nor below'} Signal Line" + }, + "RSI": { + "signal": signals[1], + "details": f"RSI is {rsi.iloc[-1]:.2f} ({'oversold' if signals[1] == 'bullish' else 'overbought' if signals[1] == 'bearish' else 'neutral'})" + }, + "Bollinger": { + "signal": signals[2], + "details": f"Price is {'below lower band' if signals[2] == 'bullish' else 'above upper band' if signals[2] == 'bearish' else 'within bands'}" + }, + "OBV": { + "signal": signals[3], + "details": f"OBV slope is {obv_slope:.2f} ({signals[3]})" + } + } + + # Determine overall signal + bullish_signals = signals.count('bullish') + bearish_signals = signals.count('bearish') + + if bullish_signals > bearish_signals: + overall_signal = 'bullish' + elif bearish_signals > bullish_signals: + overall_signal = 'bearish' + else: + overall_signal = 'neutral' + + # Calculate confidence level based on the proportion of indicators agreeing + total_signals = len(signals) + confidence = max(bullish_signals, bearish_signals) / total_signals + + # Generate the message content + message_content = { + "signal": overall_signal, + "confidence": f"{round(confidence * 100)}%", + "reasoning": { + "MACD": reasoning["MACD"], + "RSI": reasoning["RSI"], + "Bollinger": reasoning["Bollinger"], + "OBV": reasoning["OBV"] + } + } + + # 1. Trend Following Strategy + trend_signals = calculate_trend_signals(prices_df) + + # 2. Mean Reversion Strategy + mean_reversion_signals = calculate_mean_reversion_signals(prices_df) + + # 3. Momentum Strategy + momentum_signals = calculate_momentum_signals(prices_df) + + # 4. Volatility Strategy + volatility_signals = calculate_volatility_signals(prices_df) + + # 5. Statistical Arbitrage Signals + stat_arb_signals = calculate_stat_arb_signals(prices_df) + + # Combine all signals using a weighted ensemble approach + strategy_weights = { + 'trend': 0.25, + 'mean_reversion': 0.20, + 'momentum': 0.25, + 'volatility': 0.15, + 'stat_arb': 0.15 + } + + combined_signal = weighted_signal_combination({ + 'trend': trend_signals, + 'mean_reversion': mean_reversion_signals, + 'momentum': momentum_signals, + 'volatility': volatility_signals, + 'stat_arb': stat_arb_signals + }, strategy_weights) + + # Generate detailed analysis report + analysis_report = { + "signal": combined_signal['signal'], + "confidence": f"{round(combined_signal['confidence'] * 100)}%", + "strategy_signals": { + "trend_following": { + "signal": trend_signals['signal'], + "confidence": f"{round(trend_signals['confidence'] * 100)}%", + "metrics": normalize_pandas(trend_signals['metrics']) + }, + "mean_reversion": { + "signal": mean_reversion_signals['signal'], + "confidence": f"{round(mean_reversion_signals['confidence'] * 100)}%", + "metrics": normalize_pandas(mean_reversion_signals['metrics']) + }, + "momentum": { + "signal": momentum_signals['signal'], + "confidence": f"{round(momentum_signals['confidence'] * 100)}%", + "metrics": normalize_pandas(momentum_signals['metrics']) + }, + "volatility": { + "signal": volatility_signals['signal'], + "confidence": f"{round(volatility_signals['confidence'] * 100)}%", + "metrics": normalize_pandas(volatility_signals['metrics']) + }, + "statistical_arbitrage": { + "signal": stat_arb_signals['signal'], + "confidence": f"{round(stat_arb_signals['confidence'] * 100)}%", + "metrics": normalize_pandas(stat_arb_signals['metrics']) + } + } + } + + # Create the technical analyst message + message = HumanMessage( + content=json.dumps(analysis_report), + name="technical_analyst_agent", + ) + + if show_reasoning: + show_agent_reasoning(analysis_report, "Technical Analyst") + + return { + "messages": [message], + "data": data, + } + +def calculate_trend_signals(prices_df): + """ + Advanced trend following strategy using multiple timeframes and indicators + """ + # Calculate EMAs for multiple timeframes + ema_8 = calculate_ema(prices_df, 8) + ema_21 = calculate_ema(prices_df, 21) + ema_55 = calculate_ema(prices_df, 55) + + # Calculate ADX for trend strength + adx = calculate_adx(prices_df, 14) + + # Calculate Ichimoku Cloud + ichimoku = calculate_ichimoku(prices_df) + + # Determine trend direction and strength + short_trend = ema_8 > ema_21 + medium_trend = ema_21 > ema_55 + + # Combine signals with confidence weighting + trend_strength = adx['adx'].iloc[-1] / 100.0 + + if short_trend.iloc[-1] and medium_trend.iloc[-1]: + signal = 'bullish' + confidence = trend_strength + elif not short_trend.iloc[-1] and not medium_trend.iloc[-1]: + signal = 'bearish' + confidence = trend_strength + else: + signal = 'neutral' + confidence = 0.5 + + return { + 'signal': signal, + 'confidence': confidence, + 'metrics': { + 'adx': float(adx['adx'].iloc[-1]), + 'trend_strength': float(trend_strength), + # 'ichimoku': ichimoku + } + } + +def calculate_mean_reversion_signals(prices_df): + """ + Mean reversion strategy using statistical measures and Bollinger Bands + """ + # Calculate z-score of price relative to moving average + ma_50 = prices_df['close'].rolling(window=50).mean() + std_50 = prices_df['close'].rolling(window=50).std() + z_score = (prices_df['close'] - ma_50) / std_50 + + # Calculate Bollinger Bands + bb_upper, bb_lower = calculate_bollinger_bands(prices_df) + + # Calculate RSI with multiple timeframes + rsi_14 = calculate_rsi(prices_df, 14) + rsi_28 = calculate_rsi(prices_df, 28) + + # Mean reversion signals + extreme_z_score = abs(z_score.iloc[-1]) > 2 + price_vs_bb = (prices_df['close'].iloc[-1] - bb_lower.iloc[-1]) / (bb_upper.iloc[-1] - bb_lower.iloc[-1]) + + # Combine signals + if z_score.iloc[-1] < -2 and price_vs_bb < 0.2: + signal = 'bullish' + confidence = min(abs(z_score.iloc[-1]) / 4, 1.0) + elif z_score.iloc[-1] > 2 and price_vs_bb > 0.8: + signal = 'bearish' + confidence = min(abs(z_score.iloc[-1]) / 4, 1.0) + else: + signal = 'neutral' + confidence = 0.5 + + return { + 'signal': signal, + 'confidence': confidence, + 'metrics': { + 'z_score': float(z_score.iloc[-1]), + 'price_vs_bb': float(price_vs_bb), + 'rsi_14': float(rsi_14.iloc[-1]), + 'rsi_28': float(rsi_28.iloc[-1]) + } + } + +def calculate_momentum_signals(prices_df): + """ + Multi-factor momentum strategy + """ + # Price momentum + returns = prices_df['close'].pct_change() + mom_1m = returns.rolling(21).sum() + mom_3m = returns.rolling(63).sum() + mom_6m = returns.rolling(126).sum() + + # Volume momentum + volume_ma = prices_df['volume'].rolling(21).mean() + volume_momentum = prices_df['volume'] / volume_ma + + # Relative strength + # (would compare to market/sector in real implementation) + + # Calculate momentum score + momentum_score = ( + 0.4 * mom_1m + + 0.3 * mom_3m + + 0.3 * mom_6m + ).iloc[-1] + + # Volume confirmation + volume_confirmation = volume_momentum.iloc[-1] > 1.0 + + if momentum_score > 0.05 and volume_confirmation: + signal = 'bullish' + confidence = min(abs(momentum_score) * 5, 1.0) + elif momentum_score < -0.05 and volume_confirmation: + signal = 'bearish' + confidence = min(abs(momentum_score) * 5, 1.0) + else: + signal = 'neutral' + confidence = 0.5 + + return { + 'signal': signal, + 'confidence': confidence, + 'metrics': { + 'momentum_1m': float(mom_1m.iloc[-1]), + 'momentum_3m': float(mom_3m.iloc[-1]), + 'momentum_6m': float(mom_6m.iloc[-1]), + 'volume_momentum': float(volume_momentum.iloc[-1]) + } + } + +def calculate_volatility_signals(prices_df): + """ + Volatility-based trading strategy + """ + # Calculate various volatility metrics + returns = prices_df['close'].pct_change() + + # Historical volatility + hist_vol = returns.rolling(21).std() * math.sqrt(252) + + # Volatility regime detection + vol_ma = hist_vol.rolling(63).mean() + vol_regime = hist_vol / vol_ma + + # Volatility mean reversion + vol_z_score = (hist_vol - vol_ma) / hist_vol.rolling(63).std() + + # ATR ratio + atr = calculate_atr(prices_df) + atr_ratio = atr / prices_df['close'] + + # Generate signal based on volatility regime + current_vol_regime = vol_regime.iloc[-1] + vol_z = vol_z_score.iloc[-1] + + if current_vol_regime < 0.8 and vol_z < -1: + signal = 'bullish' # Low vol regime, potential for expansion + confidence = min(abs(vol_z) / 3, 1.0) + elif current_vol_regime > 1.2 and vol_z > 1: + signal = 'bearish' # High vol regime, potential for contraction + confidence = min(abs(vol_z) / 3, 1.0) + else: + signal = 'neutral' + confidence = 0.5 + + return { + 'signal': signal, + 'confidence': confidence, + 'metrics': { + 'historical_volatility': float(hist_vol.iloc[-1]), + 'volatility_regime': float(current_vol_regime), + 'volatility_z_score': float(vol_z), + 'atr_ratio': float(atr_ratio.iloc[-1]) + } + } + +def calculate_stat_arb_signals(prices_df): + """ + Statistical arbitrage signals based on price action analysis + """ + # Calculate price distribution statistics + returns = prices_df['close'].pct_change() + + # Skewness and kurtosis + skew = returns.rolling(63).skew() + kurt = returns.rolling(63).kurt() + + # Test for mean reversion using Hurst exponent + hurst = calculate_hurst_exponent(prices_df['close']) + + # Correlation analysis + # (would include correlation with related securities in real implementation) + + # Generate signal based on statistical properties + if hurst < 0.4 and skew.iloc[-1] > 1: + signal = 'bullish' + confidence = (0.5 - hurst) * 2 + elif hurst < 0.4 and skew.iloc[-1] < -1: + signal = 'bearish' + confidence = (0.5 - hurst) * 2 + else: + signal = 'neutral' + confidence = 0.5 + + return { + 'signal': signal, + 'confidence': confidence, + 'metrics': { + 'hurst_exponent': float(hurst), + 'skewness': float(skew.iloc[-1]), + 'kurtosis': float(kurt.iloc[-1]) + } + } + +def weighted_signal_combination(signals, weights): + """ + Combines multiple trading signals using a weighted approach + """ + # Convert signals to numeric values + signal_values = { + 'bullish': 1, + 'neutral': 0, + 'bearish': -1 + } + + weighted_sum = 0 + total_confidence = 0 + + for strategy, signal in signals.items(): + numeric_signal = signal_values[signal['signal']] + weight = weights[strategy] + confidence = signal['confidence'] + + weighted_sum += numeric_signal * weight * confidence + total_confidence += weight * confidence + + # Normalize the weighted sum + if total_confidence > 0: + final_score = weighted_sum / total_confidence + else: + final_score = 0 + + # Convert back to signal + if final_score > 0.2: + signal = 'bullish' + elif final_score < -0.2: + signal = 'bearish' + else: + signal = 'neutral' + + return { + 'signal': signal, + 'confidence': abs(final_score) + } + +def normalize_pandas(obj): + """Convert pandas Series/DataFrames to primitive Python types""" + if isinstance(obj, pd.Series): + return obj.tolist() + elif isinstance(obj, pd.DataFrame): + return obj.to_dict('records') + elif isinstance(obj, dict): + return {k: normalize_pandas(v) for k, v in obj.items()} + elif isinstance(obj, (list, tuple)): + return [normalize_pandas(item) for item in obj] + return obj + +def calculate_macd(prices_df: pd.DataFrame) -> tuple[pd.Series, pd.Series]: + ema_12 = prices_df['close'].ewm(span=12, adjust=False).mean() + ema_26 = prices_df['close'].ewm(span=26, adjust=False).mean() + macd_line = ema_12 - ema_26 + signal_line = macd_line.ewm(span=9, adjust=False).mean() + return macd_line, signal_line + +def calculate_rsi(prices_df: pd.DataFrame, period: int = 14) -> pd.Series: + delta = prices_df['close'].diff() + gain = (delta.where(delta > 0, 0)).fillna(0) + loss = (-delta.where(delta < 0, 0)).fillna(0) + avg_gain = gain.rolling(window=period).mean() + avg_loss = loss.rolling(window=period).mean() + rs = avg_gain / avg_loss + rsi = 100 - (100 / (1 + rs)) + return rsi + +def calculate_bollinger_bands( + prices_df: pd.DataFrame, + window: int = 20 +) -> tuple[pd.Series, pd.Series]: + sma = prices_df['close'].rolling(window).mean() + std_dev = prices_df['close'].rolling(window).std() + upper_band = sma + (std_dev * 2) + lower_band = sma - (std_dev * 2) + return upper_band, lower_band + +def calculate_ema(df: pd.DataFrame, window: int) -> pd.Series: + """ + Calculate Exponential Moving Average + + Args: + df: DataFrame with price data + window: EMA period + + Returns: + pd.Series: EMA values + """ + return df['close'].ewm(span=window, adjust=False).mean() + +def calculate_adx(df: pd.DataFrame, period: int = 14) -> pd.DataFrame: + """ + Calculate Average Directional Index (ADX) + + Args: + df: DataFrame with OHLC data + period: Period for calculations + + Returns: + DataFrame with ADX values + """ + # Calculate True Range + df['high_low'] = df['high'] - df['low'] + df['high_close'] = abs(df['high'] - df['close'].shift()) + df['low_close'] = abs(df['low'] - df['close'].shift()) + df['tr'] = df[['high_low', 'high_close', 'low_close']].max(axis=1) + + # Calculate Directional Movement + df['up_move'] = df['high'] - df['high'].shift() + df['down_move'] = df['low'].shift() - df['low'] + + df['plus_dm'] = np.where( + (df['up_move'] > df['down_move']) & (df['up_move'] > 0), + df['up_move'], + 0 + ) + df['minus_dm'] = np.where( + (df['down_move'] > df['up_move']) & (df['down_move'] > 0), + df['down_move'], + 0 + ) + + # Calculate ADX + df['+di'] = 100 * (df['plus_dm'].ewm(span=period).mean() / + df['tr'].ewm(span=period).mean()) + df['-di'] = 100 * (df['minus_dm'].ewm(span=period).mean() / + df['tr'].ewm(span=period).mean()) + df['dx'] = 100 * abs(df['+di'] - df['-di']) / (df['+di'] + df['-di']) + df['adx'] = df['dx'].ewm(span=period).mean() + + return df[['adx', '+di', '-di']] + +def calculate_ichimoku(df: pd.DataFrame) -> Dict[str, pd.Series]: + """ + Calculate Ichimoku Cloud indicators + + Args: + df: DataFrame with OHLC data + + Returns: + Dictionary containing Ichimoku components + """ + # Tenkan-sen (Conversion Line): (9-period high + 9-period low)/2 + period9_high = df['high'].rolling(window=9).max() + period9_low = df['low'].rolling(window=9).min() + tenkan_sen = (period9_high + period9_low) / 2 + + # Kijun-sen (Base Line): (26-period high + 26-period low)/2 + period26_high = df['high'].rolling(window=26).max() + period26_low = df['low'].rolling(window=26).min() + kijun_sen = (period26_high + period26_low) / 2 + + # Senkou Span A (Leading Span A): (Conversion Line + Base Line)/2 + senkou_span_a = ((tenkan_sen + kijun_sen) / 2).shift(26) + + # Senkou Span B (Leading Span B): (52-period high + 52-period low)/2 + period52_high = df['high'].rolling(window=52).max() + period52_low = df['low'].rolling(window=52).min() + senkou_span_b = ((period52_high + period52_low) / 2).shift(26) + + # Chikou Span (Lagging Span): Close shifted back 26 periods + chikou_span = df['close'].shift(-26) + + return { + 'tenkan_sen': tenkan_sen, + 'kijun_sen': kijun_sen, + 'senkou_span_a': senkou_span_a, + 'senkou_span_b': senkou_span_b, + 'chikou_span': chikou_span + } + +def calculate_atr(df: pd.DataFrame, period: int = 14) -> pd.Series: + """ + Calculate Average True Range + + Args: + df: DataFrame with OHLC data + period: Period for ATR calculation + + Returns: + pd.Series: ATR values + """ + high_low = df['high'] - df['low'] + high_close = abs(df['high'] - df['close'].shift()) + low_close = abs(df['low'] - df['close'].shift()) + + ranges = pd.concat([high_low, high_close, low_close], axis=1) + true_range = ranges.max(axis=1) + + return true_range.rolling(period).mean() + +def calculate_hurst_exponent(price_series: pd.Series, max_lag: int = 20) -> float: + """ + Calculate Hurst Exponent to determine long-term memory of time series + H < 0.5: Mean reverting series + H = 0.5: Random walk + H > 0.5: Trending series + + Args: + price_series: Array-like price data + max_lag: Maximum lag for R/S calculation + + Returns: + float: Hurst exponent + """ + lags = range(2, max_lag) + # Add small epsilon to avoid log(0) + tau = [max(1e-8, np.sqrt(np.std(np.subtract(price_series[lag:], price_series[:-lag])))) for lag in lags] + + # Return the Hurst exponent from linear fit + try: + reg = np.polyfit(np.log(lags), np.log(tau), 1) + return reg[0] # Hurst exponent is the slope + except (ValueError, RuntimeWarning): + # Return 0.5 (random walk) if calculation fails + return 0.5 + +def calculate_obv(prices_df: pd.DataFrame) -> pd.Series: + obv = [0] + for i in range(1, len(prices_df)): + if prices_df['close'].iloc[i] > prices_df['close'].iloc[i - 1]: + obv.append(obv[-1] + prices_df['volume'].iloc[i]) + elif prices_df['close'].iloc[i] < prices_df['close'].iloc[i - 1]: + obv.append(obv[-1] - prices_df['volume'].iloc[i]) + else: + obv.append(obv[-1]) + prices_df['OBV'] = obv + return prices_df['OBV'] diff --git a/agents/maigctester/src/maigctester/fi/backtester.py b/agents/maigctester/src/maigctester/fi/backtester.py new file mode 100644 index 0000000..bcbb7b2 --- /dev/null +++ b/agents/maigctester/src/maigctester/fi/backtester.py @@ -0,0 +1,153 @@ +from datetime import datetime, timedelta + +import matplotlib.pyplot as plt +import pandas as pd + +from main import run_hedge_fund +from tools.api import get_price_data + +class Backtester: + def __init__(self, agent, ticker, start_date, end_date, initial_capital): + self.agent = agent + self.ticker = ticker + self.start_date = start_date + self.end_date = end_date + self.initial_capital = initial_capital + self.portfolio = {"cash": initial_capital, "stock": 0} + self.portfolio_values = [] + + def parse_action(self, agent_output): + try: + # Expect JSON output from agent + import json + decision = json.loads(agent_output) + return decision["action"], decision["quantity"] + except: + print(f"Error parsing action: {agent_output}") + return "hold", 0 + + def execute_trade(self, action, quantity, current_price): + """Validate and execute trades based on portfolio constraints""" + if action == "buy" and quantity > 0: + cost = quantity * current_price + if cost <= self.portfolio["cash"]: + self.portfolio["stock"] += quantity + self.portfolio["cash"] -= cost + return quantity + else: + # Calculate maximum affordable quantity + max_quantity = self.portfolio["cash"] // current_price + if max_quantity > 0: + self.portfolio["stock"] += max_quantity + self.portfolio["cash"] -= max_quantity * current_price + return max_quantity + return 0 + elif action == "sell" and quantity > 0: + quantity = min(quantity, self.portfolio["stock"]) + if quantity > 0: + self.portfolio["cash"] += quantity * current_price + self.portfolio["stock"] -= quantity + return quantity + return 0 + return 0 + + def run_backtest(self): + dates = pd.date_range(self.start_date, self.end_date, freq="B") + + print("\nStarting backtest...") + print(f"{'Date':<12} {'Ticker':<6} {'Action':<6} {'Quantity':>8} {'Price':>8} {'Cash':>12} {'Stock':>8} {'Total Value':>12}") + print("-" * 100) + + for current_date in dates: + lookback_start = (current_date - timedelta(days=30)).strftime("%Y-%m-%d") + current_date_str = current_date.strftime("%Y-%m-%d") + + agent_output = self.agent( + ticker=self.ticker, + start_date=lookback_start, + end_date=current_date_str, + portfolio=self.portfolio + ) + + action, quantity = self.parse_action(agent_output) + df = get_price_data(self.ticker, lookback_start, current_date_str) + current_price = df.iloc[-1]['close'] + + # Execute the trade with validation + executed_quantity = self.execute_trade(action, quantity, current_price) + + # Update total portfolio value + total_value = self.portfolio["cash"] + self.portfolio["stock"] * current_price + self.portfolio["portfolio_value"] = total_value + + # Log the current state with executed quantity + print( + f"{current_date.strftime('%Y-%m-%d'):<12} {self.ticker:<6} {action:<6} {executed_quantity:>8} {current_price:>8.2f} " + f"{self.portfolio['cash']:>12.2f} {self.portfolio['stock']:>8} {total_value:>12.2f}" + ) + + # Record the portfolio value + self.portfolio_values.append( + {"Date": current_date, "Portfolio Value": total_value} + ) + + def analyze_performance(self): + # Convert portfolio values to DataFrame + performance_df = pd.DataFrame(self.portfolio_values).set_index("Date") + + # Calculate total return + total_return = ( + self.portfolio["portfolio_value"] - self.initial_capital + ) / self.initial_capital + print(f"Total Return: {total_return * 100:.2f}%") + + # Plot the portfolio value over time + performance_df["Portfolio Value"].plot( + title="Portfolio Value Over Time", figsize=(12, 6) + ) + plt.ylabel("Portfolio Value ($)") + plt.xlabel("Date") + plt.show() + + # Compute daily returns + performance_df["Daily Return"] = performance_df["Portfolio Value"].pct_change() + + # Calculate Sharpe Ratio (assuming 252 trading days in a year) + mean_daily_return = performance_df["Daily Return"].mean() + std_daily_return = performance_df["Daily Return"].std() + sharpe_ratio = (mean_daily_return / std_daily_return) * (252 ** 0.5) + print(f"Sharpe Ratio: {sharpe_ratio:.2f}") + + # Calculate Maximum Drawdown + rolling_max = performance_df["Portfolio Value"].cummax() + drawdown = performance_df["Portfolio Value"] / rolling_max - 1 + max_drawdown = drawdown.min() + print(f"Maximum Drawdown: {max_drawdown * 100:.2f}%") + + return performance_df + +### 4. Run the Backtest ##### +if __name__ == "__main__": + import argparse + + # Set up argument parser + parser = argparse.ArgumentParser(description='Run backtesting simulation') + parser.add_argument('--ticker', type=str, help='Stock ticker symbol (e.g., AAPL)') + parser.add_argument('--end_date', type=str, default=datetime.now().strftime('%Y-%m-%d'), help='End date in YYYY-MM-DD format') + parser.add_argument('--start_date', type=str, default=(datetime.now() - timedelta(days=90)).strftime('%Y-%m-%d'), help='Start date in YYYY-MM-DD format') + parser.add_argument('--initial_capital', type=float, default=100000, help='Initial capital amount (default: 100000)') + + args = parser.parse_args() + + # Create an instance of Backtester + backtester = Backtester( + agent=run_hedge_fund, + ticker=args.ticker, + start_date=args.start_date, + end_date=args.end_date, + initial_capital=args.initial_capital, + ) + + # Run the backtesting process + backtester.run_backtest() + performance_df = backtester.analyze_performance() diff --git a/agents/maigctester/src/maigctester/fi/main.py b/agents/maigctester/src/maigctester/fi/main.py new file mode 100644 index 0000000..5ea4af5 --- /dev/null +++ b/agents/maigctester/src/maigctester/fi/main.py @@ -0,0 +1,100 @@ + +from langchain_core.messages import HumanMessage +from langgraph.graph import END, StateGraph + +from agents.fundamentals import fundamentals_agent +from agents.market_data import market_data_agent +from agents.portfolio_manager import portfolio_management_agent +from agents.technicals import technical_analyst_agent +from agents.risk_manager import risk_management_agent +from agents.sentiment import sentiment_agent +from agents.state import AgentState + +import argparse +from datetime import datetime + + +##### Run the Hedge Fund ##### +def run_hedge_fund(ticker: str, start_date: str, end_date: str, portfolio: dict, show_reasoning: bool = False): + final_state = app.invoke( + { + "messages": [ + HumanMessage( + content="Make a trading decision based on the provided data.", + ) + ], + "data": { + "ticker": ticker, + "portfolio": portfolio, + "start_date": start_date, + "end_date": end_date, + }, + "metadata": { + "show_reasoning": show_reasoning, + } + }, + ) + return final_state["messages"][-1].content + +# Define the new workflow +workflow = StateGraph(AgentState) + +# Add nodes +workflow.add_node("market_data_agent", market_data_agent) +workflow.add_node("technical_analyst_agent", technical_analyst_agent) +workflow.add_node("fundamentals_agent", fundamentals_agent) +workflow.add_node("sentiment_agent", sentiment_agent) +workflow.add_node("risk_management_agent", risk_management_agent) +workflow.add_node("portfolio_management_agent", portfolio_management_agent) + +# Define the workflow +workflow.set_entry_point("market_data_agent") +workflow.add_edge("market_data_agent", "technical_analyst_agent") +workflow.add_edge("market_data_agent", "fundamentals_agent") +workflow.add_edge("market_data_agent", "sentiment_agent") +workflow.add_edge("technical_analyst_agent", "risk_management_agent") +workflow.add_edge("fundamentals_agent", "risk_management_agent") +workflow.add_edge("sentiment_agent", "risk_management_agent") +workflow.add_edge("risk_management_agent", "portfolio_management_agent") +workflow.add_edge("portfolio_management_agent", END) + +app = workflow.compile() + +# Add this at the bottom of the file +if __name__ == "__main__": + parser = argparse.ArgumentParser(description='Run the hedge fund trading system') + parser.add_argument('--ticker', type=str, required=True, help='Stock ticker symbol') + parser.add_argument('--start-date', type=str, help='Start date (YYYY-MM-DD). Defaults to 3 months before end date') + parser.add_argument('--end-date', type=str, help='End date (YYYY-MM-DD). Defaults to today') + parser.add_argument('--show-reasoning', action='store_true', help='Show reasoning from each agent') + + args = parser.parse_args() + + # Validate dates if provided + if args.start_date: + try: + datetime.strptime(args.start_date, '%Y-%m-%d') + except ValueError: + raise ValueError("Start date must be in YYYY-MM-DD format") + + if args.end_date: + try: + datetime.strptime(args.end_date, '%Y-%m-%d') + except ValueError: + raise ValueError("End date must be in YYYY-MM-DD format") + + # Sample portfolio - you might want to make this configurable too + portfolio = { + "cash": 100000.0, # $100,000 initial cash + "stock": 0 # No initial stock position + } + + result = run_hedge_fund( + ticker=args.ticker, + start_date=args.start_date, + end_date=args.end_date, + portfolio=portfolio, + show_reasoning=args.show_reasoning + ) + print("\nFinal Result:") + print(result) \ No newline at end of file diff --git a/agents/maigctester/src/maigctester/fi/tools/api.py b/agents/maigctester/src/maigctester/fi/tools/api.py new file mode 100644 index 0000000..5d24135 --- /dev/null +++ b/agents/maigctester/src/maigctester/fi/tools/api.py @@ -0,0 +1,152 @@ +import os +from typing import Dict, Any, List +import pandas as pd +import requests + +import requests + +def get_financial_metrics( + ticker: str, + report_period: str, + period: str = 'ttm', + limit: int = 1 +) -> List[Dict[str, Any]]: + """Fetch financial metrics from the API.""" + headers = {"X-API-KEY": os.environ.get("FINANCIAL_DATASETS_API_KEY")} + url = ( + f"https://api.financialdatasets.ai/financial-metrics/" + f"?ticker={ticker}" + f"&report_period_lte={report_period}" + f"&limit={limit}" + f"&period={period}" + ) + response = requests.get(url, headers=headers) + if response.status_code != 200: + raise Exception( + f"Error fetching data: {response.status_code} - {response.text}" + ) + data = response.json() + financial_metrics = data.get("financial_metrics") + if not financial_metrics: + raise ValueError("No financial metrics returned") + return financial_metrics + +def search_line_items( + ticker: str, + line_items: List[str], + period: str = 'ttm', + limit: int = 1 +) -> List[Dict[str, Any]]: + """Fetch cash flow statements from the API.""" + headers = {"X-API-KEY": os.environ.get("FINANCIAL_DATASETS_API_KEY")} + url = "https://api.financialdatasets.ai/financials/search/line-items" + + body = { + "tickers": [ticker], + "line_items": line_items, + "period": period, + "limit": limit + } + response = requests.post(url, headers=headers, json=body) + if response.status_code != 200: + raise Exception( + f"Error fetching data: {response.status_code} - {response.text}" + ) + data = response.json() + search_results = data.get("search_results") + if not search_results: + raise ValueError("No search results returned") + return search_results + +def get_insider_trades( + ticker: str, + end_date: str, + limit: int = 5, +) -> List[Dict[str, Any]]: + """ + Fetch insider trades for a given ticker and date range. + """ + headers = {"X-API-KEY": os.environ.get("FINANCIAL_DATASETS_API_KEY")} + url = ( + f"https://api.financialdatasets.ai/insider-trades/" + f"?ticker={ticker}" + f"&filing_date_lte={end_date}" + f"&limit={limit}" + ) + response = requests.get(url, headers=headers) + if response.status_code != 200: + raise Exception( + f"Error fetching data: {response.status_code} - {response.text}" + ) + data = response.json() + insider_trades = data.get("insider_trades") + if not insider_trades: + raise ValueError("No insider trades returned") + return insider_trades + +def get_market_cap( + ticker: str, +) -> List[Dict[str, Any]]: + """Fetch market cap from the API.""" + headers = {"X-API-KEY": os.environ.get("FINANCIAL_DATASETS_API_KEY")} + url = ( + f'https://api.financialdatasets.ai/company/facts' + f'?ticker={ticker}' + ) + + response = requests.get(url, headers=headers) + if response.status_code != 200: + raise Exception( + f"Error fetching data: {response.status_code} - {response.text}" + ) + data = response.json() + company_facts = data.get('company_facts') + if not company_facts: + raise ValueError("No company facts returned") + return company_facts.get('market_cap') + +def get_prices( + ticker: str, + start_date: str, + end_date: str +) -> List[Dict[str, Any]]: + """Fetch price data from the API.""" + headers = {"X-API-KEY": os.environ.get("FINANCIAL_DATASETS_API_KEY")} + url = ( + f"https://api.financialdatasets.ai/prices/" + f"?ticker={ticker}" + f"&interval=day" + f"&interval_multiplier=1" + f"&start_date={start_date}" + f"&end_date={end_date}" + ) + response = requests.get(url, headers=headers) + if response.status_code != 200: + raise Exception( + f"Error fetching data: {response.status_code} - {response.text}" + ) + data = response.json() + prices = data.get("prices") + if not prices: + raise ValueError("No price data returned") + return prices + +def prices_to_df(prices: List[Dict[str, Any]]) -> pd.DataFrame: + """Convert prices to a DataFrame.""" + df = pd.DataFrame(prices) + df["Date"] = pd.to_datetime(df["time"]) + df.set_index("Date", inplace=True) + numeric_cols = ["open", "close", "high", "low", "volume"] + for col in numeric_cols: + df[col] = pd.to_numeric(df[col], errors="coerce") + df.sort_index(inplace=True) + return df + +# Update the get_price_data function to use the new functions +def get_price_data( + ticker: str, + start_date: str, + end_date: str +) -> pd.DataFrame: + prices = get_prices(ticker, start_date, end_date) + return prices_to_df(prices) diff --git a/agents/promptize/.gitignore b/agents/promptize/.gitignore new file mode 100644 index 0000000..83a867c --- /dev/null +++ b/agents/promptize/.gitignore @@ -0,0 +1,12 @@ +# Python cache files +__pycache__/ +*.pyc + +# Virtual environment +env/ +.venv/ + +# Package artifacts +dist/ +build/ +*.egg-info/ \ No newline at end of file diff --git a/agents/promptize/intro.md b/agents/promptize/intro.md new file mode 100644 index 0000000..e69de29 diff --git a/agents/promptize/src/promptize/app.py b/agents/promptize/src/promptize/app.py new file mode 100644 index 0000000..838970e --- /dev/null +++ b/agents/promptize/src/promptize/app.py @@ -0,0 +1,8 @@ +import gradio as gr +import ai_gradio + +gr.load( + name='hyperbolic:deepseek-ai/DeepSeek-V3', + src=ai_gradio.registry, + coder=True +).launch() diff --git a/agents/promptize/src/promptize/conf/__init__.py b/agents/promptize/src/promptize/conf/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/agents/promptize/src/promptize/providers/__init__.py b/agents/promptize/src/promptize/providers/__init__.py new file mode 100644 index 0000000..16dd87d --- /dev/null +++ b/agents/promptize/src/promptize/providers/__init__.py @@ -0,0 +1,10 @@ +from importlib.metadata import version + +try: + __version__ = version("ai-gradio") +except Exception: + __version__ = "unknown" + +from .providers import registry + +__all__ = ["registry"] diff --git a/agents/promptize/src/promptize/providers/anthropic_gradio.py b/agents/promptize/src/promptize/providers/anthropic_gradio.py new file mode 100644 index 0000000..70fe127 --- /dev/null +++ b/agents/promptize/src/promptize/providers/anthropic_gradio.py @@ -0,0 +1,76 @@ +import os +import anthropic +import gradio as gr +from typing import Callable + +__version__ = "0.0.1" + + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + def fn(message, history): + inputs = preprocess(message, history) + client = anthropic.Anthropic(api_key=api_key) + with client.messages.stream( + model=model_name, + max_tokens=1000, + messages=inputs["messages"] + ) as stream: + response_text = "" + for chunk in stream: + if chunk.type == "content_block_delta": + delta = chunk.delta.text + response_text += delta + yield postprocess(response_text) + + return fn + + +def get_interface_args(pipeline): + if pipeline == "chat": + inputs = None + outputs = None + + def preprocess(message, history): + messages = [] + for user_msg, assistant_msg in history: + messages.append({"role": "user", "content": [{"type": "text", "text": user_msg}]}) + messages.append({"role": "assistant", "content": [{"type": "text", "text": assistant_msg}]}) + messages.append({"role": "user", "content": [{"type": "text", "text": message}]}) + return {"messages": messages} + + postprocess = lambda x: x # No post-processing needed + else: + # Add other pipeline types when they will be needed + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Determine the pipeline type based on the model name + # For simplicity, assuming all models are chat models at the moment + return "chat" + + +def registry(name: str, token: str | None = None, **kwargs): + """ + Create a Gradio Interface for a model on Anthropic. + + Parameters: + - name (str): The name of the Anthropic model. + - token (str, optional): The API key for Anthropic. + """ + api_key = token or os.environ.get("ANTHROPIC_API_KEY") + if not api_key: + raise ValueError("ANTHROPIC_API_KEY environment variable is not set.") + + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(name, preprocess, postprocess, api_key) + + if pipeline == "chat": + interface = gr.ChatInterface(fn=fn, **kwargs) + else: + # For other pipelines, create a standard Interface (not implemented yet) + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/agents/promptize/src/promptize/providers/cohere_gradio.py b/agents/promptize/src/promptize/providers/cohere_gradio.py new file mode 100644 index 0000000..f216a4f --- /dev/null +++ b/agents/promptize/src/promptize/providers/cohere_gradio.py @@ -0,0 +1,120 @@ +import os +import cohere +import gradio as gr +from typing import Callable +import base64 + +__version__ = "0.0.3" + + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + def fn(message, history): + inputs = preprocess(message, history) + client = cohere.Client(api_key=api_key) + stream = client.chat_stream( + model=model_name, + message=inputs["message"], + chat_history=inputs["chat_history"], + ) + response_text = "" + for chunk in stream: + if chunk.event_type == "text-generation": + delta = chunk.text + response_text += delta + yield postprocess(response_text) + + return fn + + +def get_image_base64(url: str, ext: str): + with open(url, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + return "data:image/" + ext + ";base64," + encoded_string + + +def handle_user_msg(message: str): + if type(message) is str: + return message + elif type(message) is dict: + if message["files"] is not None and len(message["files"]) > 0: + ext = os.path.splitext(message["files"][-1])[1].strip(".") + if ext.lower() in ["png", "jpg", "jpeg", "gif", "pdf"]: + encoded_str = get_image_base64(message["files"][-1], ext) + else: + raise NotImplementedError(f"Not supported file type {ext}") + return { + "message": message["text"], + "attachments": [ + { + "source": encoded_str, + "type": "image", + } + ] + } + else: + return message["text"] + else: + raise NotImplementedError + + +def get_interface_args(pipeline): + if pipeline == "chat": + inputs = None + outputs = None + + def preprocess(message, history): + chat_history = [] + files = None + for user_msg, assistant_msg in history: + if assistant_msg is not None: + chat_history.append({"role": "USER", "message": handle_user_msg(user_msg)}) + chat_history.append({"role": "ASSISTANT", "message": assistant_msg}) + else: + files = user_msg + if type(message) is str and files is not None: + message = {"text": message, "files": files} + elif type(message) is dict and files is not None: + if message["files"] is None or len(message["files"]) == 0: + message["files"] = files + + return { + "message": handle_user_msg(message), + "chat_history": chat_history + } + + postprocess = lambda x: x + else: + # Add other pipeline types when they will be needed + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Determine the pipeline type based on the model name + # For simplicity, assuming all models are chat models at the moment + return "chat" + + +def registry(name: str, token: str | None = None, **kwargs): + """ + Create a Gradio Interface for a model on Cohere. + + Parameters: + - name (str): The name of the Cohere model. + - token (str, optional): The API key for Cohere. + """ + api_key = token or os.environ.get("COHERE_API_KEY") + if not api_key: + raise ValueError("COHERE_API_KEY environment variable is not set.") + + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(name, preprocess, postprocess, api_key) + + if pipeline == "chat": + interface = gr.ChatInterface(fn=fn, multimodal=True, **kwargs) + else: + # For other pipelines, create a standard Interface (not implemented yet) + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/agents/promptize/src/promptize/providers/crewai_gradio.py b/agents/promptize/src/promptize/providers/crewai_gradio.py new file mode 100644 index 0000000..383c639 --- /dev/null +++ b/agents/promptize/src/promptize/providers/crewai_gradio.py @@ -0,0 +1,363 @@ +import os +from typing import List, Dict, Generator +import gradio as gr +from crewai import Agent, Task, Crew +from crewai_tools import ScrapeWebsiteTool +import queue +import threading +import asyncio + +class MessageQueue: + def __init__(self): + self.message_queue = queue.Queue() + self.last_agent = None + + def add_message(self, message: Dict): + print(f"Adding message to queue: {message}") + self.message_queue.put(message) + + def get_messages(self) -> List[Dict]: + messages = [] + while not self.message_queue.empty(): + messages.append(self.message_queue.get()) + return messages + +class CrewFactory: + @staticmethod + def create_crew_config(crew_type: str, topic: str) -> dict: + configs = { + "article": { + "agents": [ + { + "role": "Content Planner", + "goal": f"Plan engaging and factually accurate content on {topic}", + "backstory": "Expert content planner with focus on creating engaging outlines", + "tasks": [ + """Create a detailed content plan for an article by: + 1. Prioritizing the latest trends and key players + 2. Identifying the target audience + 3. Developing a detailed content outline + 4. Including SEO keywords and sources""" + ] + }, + { + "role": "Content Writer", + "goal": f"Write insightful piece about {topic}", + "backstory": "Expert content writer with focus on engaging articles", + "tasks": [ + """1. Use the content plan to craft a compelling blog post + 2. Incorporate SEO keywords naturally + 3. Create proper structure with introduction, body, and conclusion""" + ] + }, + { + "role": "Editor", + "goal": "Polish and refine the content", + "backstory": "Expert editor with eye for detail and clarity", + "tasks": [ + """1. Review for clarity and coherence + 2. Correct any errors + 3. Ensure consistent tone and style""" + ] + } + ] + }, + "support": { + "agents": [ + { + "role": "Senior Support Representative", + "goal": "Be the most helpful support representative", + "backstory": "Expert at analyzing questions and providing support", + "tasks": [ + f"""Analyze this inquiry thoroughly: {topic} + Provide detailed support response.""" + ] + }, + { + "role": "Support Quality Assurance", + "goal": "Ensure highest quality of support responses", + "backstory": "Expert at reviewing and improving support responses", + "tasks": [ + """Review and improve the support response to ensure it's: + 1. Comprehensive and helpful + 2. Properly formatted with clear structure""" + ] + } + ] + } + } + return configs.get(crew_type, configs["article"]) + +class CrewManager: + def __init__(self, api_key: str = None): + self.api_key = api_key + self.message_queue = MessageQueue() + self.agents = [] + self.current_agent = None + self.scrape_tool = None + + def initialize_agents(self, crew_type: str, topic: str, website_url: str = None): + if not self.api_key: + raise ValueError("OpenAI API key is required") + + os.environ["OPENAI_API_KEY"] = self.api_key + if website_url: + self.scrape_tool = ScrapeWebsiteTool(website_url=website_url) + + # Get crew configuration + config = CrewFactory.create_crew_config(crew_type, topic) + + # Initialize agents from configuration + self.agents = [] + for agent_config in config["agents"]: + agent = Agent( + role=agent_config["role"], + goal=agent_config["goal"], + backstory=agent_config["backstory"], + allow_delegation=False, + verbose=True + ) + self.agents.append((agent, agent_config["tasks"])) + + def create_tasks(self, topic: str) -> List[Task]: + tasks = [] + for agent, task_descriptions in self.agents: + for task_desc in task_descriptions: + task = Task( + description=task_desc, + expected_output="Detailed and well-formatted response", + agent=agent, + tools=[self.scrape_tool] if self.scrape_tool else [] + ) + tasks.append(task) + return tasks + + async def process_support(self, inquiry: str, website_url: str, crew_type: str) -> Generator[List[Dict], None, None]: + def add_agent_messages(agent_name: str, tasks: str, emoji: str = "🤖"): + self.message_queue.add_message({ + "role": "assistant", + "content": agent_name, + "metadata": {"title": f"{emoji} {agent_name}"} + }) + + self.message_queue.add_message({ + "role": "assistant", + "content": tasks, + "metadata": {"title": f"📋 Task for {agent_name}"} + }) + + def setup_next_agent(current_agent: str): + if crew_type == "support": + if current_agent == "Senior Support Representative": + self.current_agent = "Support Quality Assurance Specialist" + add_agent_messages( + "Support Quality Assurance Specialist", + "Review and improve the support response" + ) + elif crew_type == "article": + if current_agent == "Content Planner": + self.current_agent = "Content Writer" + add_agent_messages( + "Content Writer", + "Write the article based on the content plan" + ) + elif current_agent == "Content Writer": + self.current_agent = "Editor" + add_agent_messages( + "Editor", + "Review and polish the article" + ) + + def task_callback(task_output): + raw_output = task_output.raw + if "## Final Answer:" in raw_output: + content = raw_output.split("## Final Answer:")[1].strip() + else: + content = raw_output.strip() + + if self.current_agent == "Support Quality Assurance Specialist": + self.message_queue.add_message({ + "role": "assistant", + "content": "Final response is ready!", + "metadata": {"title": "✅ Final Response"} + }) + + formatted_content = content + formatted_content = formatted_content.replace("\n#", "\n\n#") + formatted_content = formatted_content.replace("\n-", "\n\n-") + formatted_content = formatted_content.replace("\n*", "\n\n*") + formatted_content = formatted_content.replace("\n1.", "\n\n1.") + formatted_content = formatted_content.replace("\n\n\n", "\n\n") + + self.message_queue.add_message({ + "role": "assistant", + "content": formatted_content + }) + else: + self.message_queue.add_message({ + "role": "assistant", + "content": content, + "metadata": {"title": f"✨ Output from {self.current_agent}"} + }) + setup_next_agent(self.current_agent) + + try: + self.initialize_agents(crew_type, inquiry, website_url) + # Set initial agent based on crew type + self.current_agent = "Senior Support Representative" if crew_type == "support" else "Content Planner" + + yield [{ + "role": "assistant", + "content": "Starting to process your inquiry...", + "metadata": {"title": "🚀 Process Started"} + }] + + # Set initial task message based on crew type + if crew_type == "support": + add_agent_messages( + "Senior Support Representative", + "Analyze inquiry and provide comprehensive support" + ) + else: + add_agent_messages( + "Content Planner", + "Create a detailed content plan for the article" + ) + + crew = Crew( + agents=[agent for agent, _ in self.agents], + tasks=self.create_tasks(inquiry), + verbose=True, + task_callback=task_callback + ) + + def run_crew(): + try: + crew.kickoff() + except Exception as e: + print(f"Error in crew execution: {str(e)}") + self.message_queue.add_message({ + "role": "assistant", + "content": f"Error: {str(e)}", + "metadata": {"title": "❌ Error"} + }) + + thread = threading.Thread(target=run_crew) + thread.start() + + while thread.is_alive() or not self.message_queue.message_queue.empty(): + messages = self.message_queue.get_messages() + if messages: + yield messages + await asyncio.sleep(0.1) + + except Exception as e: + print(f"Error in process_support: {str(e)}") + yield [{ + "role": "assistant", + "content": f"An error occurred: {str(e)}", + "metadata": {"title": "❌ Error"} + }] + +def registry(name: str, token: str | None = None, crew_type: str = "support", **kwargs): + default_api_key = os.environ.get("OPENAI_API_KEY") + crew_manager = None + + with gr.Blocks(theme=gr.themes.Soft()) as demo: + title = "📝 AI Article Writing Crew" if crew_type == "article" else "🤖 CrewAI Assistant" + gr.Markdown(f"# {title}") + + api_key = gr.Textbox( + label="OpenAI API Key", + type="password", + placeholder="Type your OpenAI API key and press Enter...", + interactive=True, + visible=not (token or default_api_key) + ) + + chatbot = gr.Chatbot( + label="Writing Process" if crew_type == "article" else "Process", + height=700 if crew_type == "article" else 600, + show_label=True, + visible=token or default_api_key, + avatar_images=(None, "https://avatars.githubusercontent.com/u/170677839?v=4"), + render_markdown=True, + type="messages" + ) + + with gr.Row(equal_height=True): + topic = gr.Textbox( + label="Article Topic" if crew_type == "article" else "Topic/Question", + placeholder="Enter topic..." if crew_type == "article" else "Enter your question...", + scale=4, + visible=token or default_api_key + ) + website_url = gr.Textbox( + label="Documentation URL", + placeholder="Enter documentation URL to search...", + scale=4, + visible=(token or default_api_key) and crew_type == "support" + ) + btn = gr.Button( + "Write Article" if crew_type == "article" else "Start", + variant="primary", + scale=1, + visible=token or default_api_key + ) + + async def process_input(topic, website_url, history, api_key): + nonlocal crew_manager + effective_api_key = token or api_key or default_api_key + + if not effective_api_key: + yield [ + {"role": "user", "content": f"Question: {topic}\nDocumentation: {website_url}"}, + {"role": "assistant", "content": "Please provide an OpenAI API key."} + ] + return # Early return without value + + if crew_manager is None: + crew_manager = CrewManager(api_key=effective_api_key) + + messages = [{"role": "user", "content": f"Question: {topic}\nDocumentation: {website_url}"}] + yield messages + + try: + async for new_messages in crew_manager.process_support(topic, website_url, crew_type): + for msg in new_messages: + if "metadata" in msg: + messages.append({ + "role": msg["role"], + "content": msg["content"], + "metadata": {"title": msg["metadata"]["title"]} + }) + else: + messages.append({ + "role": msg["role"], + "content": msg["content"] + }) + yield messages + except Exception as e: + messages.append({ + "role": "assistant", + "content": f"An error occurred: {str(e)}", + "metadata": {"title": "❌ Error"} + }) + yield messages + + def show_interface(): + return { + api_key: gr.Textbox(visible=False), + chatbot: gr.Chatbot(visible=True), + topic: gr.Textbox(visible=True), + website_url: gr.Textbox(visible=True), + btn: gr.Button(visible=True) + } + + if not (token or default_api_key): + api_key.submit(show_interface, None, [api_key, chatbot, topic, website_url, btn]) + + btn.click(process_input, [topic, website_url, chatbot, api_key], [chatbot]) + topic.submit(process_input, [topic, website_url, chatbot, api_key], [chatbot]) + + return demo \ No newline at end of file diff --git a/agents/promptize/src/promptize/providers/deepseek_gradio.py b/agents/promptize/src/promptize/providers/deepseek_gradio.py new file mode 100644 index 0000000..3c6655c --- /dev/null +++ b/agents/promptize/src/promptize/providers/deepseek_gradio.py @@ -0,0 +1,120 @@ +import os +import base64 +from openai import OpenAI +import gradio as gr +from typing import Callable + +__version__ = "0.0.1" + +def get_image_base64(url: str, ext: str): + with open(url, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + return "data:image/" + ext + ";base64," + encoded_string + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + def fn(message, history): + inputs = preprocess(message, history) + client = OpenAI( + base_url="https://api.deepseek.com", + api_key=api_key, + ) + try: + completion = client.chat.completions.create( + model="deepseek-chat", + messages=inputs["messages"], + stream=True, + ) + response_text = "" + for chunk in completion: + delta = chunk.choices[0].delta.content or "" + response_text += delta + yield postprocess(response_text) + except Exception as e: + error_message = f"Error: {str(e)}" + return error_message + + return fn + +def handle_user_msg(message: str): + if type(message) is str: + return message + elif type(message) is dict: + if message["files"] is not None and len(message["files"]) > 0: + ext = os.path.splitext(message["files"][-1])[1].strip(".") + if ext.lower() in ["png", "jpg", "jpeg", "gif", "pdf"]: + encoded_str = get_image_base64(message["files"][-1], ext) + else: + raise NotImplementedError(f"Not supported file type {ext}") + content = [ + {"type": "text", "text": message["text"]}, + { + "type": "image_url", + "image_url": { + "url": encoded_str, + } + }, + ] + else: + content = message["text"] + return content + else: + raise NotImplementedError + +def get_interface_args(pipeline): + if pipeline == "chat": + inputs = None + outputs = None + + def preprocess(message, history): + messages = [] + files = None + for user_msg, assistant_msg in history: + if assistant_msg is not None: + messages.append({"role": "user", "content": handle_user_msg(user_msg)}) + messages.append({"role": "assistant", "content": assistant_msg}) + else: + files = user_msg + if type(message) is str and files is not None: + message = {"text":message, "files":files} + elif type(message) is dict and files is not None: + if message["files"] is None or len(message["files"]) == 0: + message["files"] = files + messages.append({"role": "user", "content": handle_user_msg(message)}) + return {"messages": messages} + + postprocess = lambda x: x # No post-processing needed + else: + # Add other pipeline types when they will be needed + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Determine the pipeline type based on the model name + # For simplicity, assuming all models are chat models at the moment + return "chat" + + +def registry(name: str, token: str | None = None, **kwargs): + """ + Create a Gradio Interface for a model on DeepSeek. + + Parameters: + - name (str): The name of the model on DeepSeek. + - token (str, optional): The API key for DeepSeek. + """ + api_key = token or os.environ.get("DEEPSEEK_API_KEY") + if not api_key: + raise ValueError("DEEPSEEK_API_KEY environment variable is not set.") + + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(name, preprocess, postprocess, api_key) + + if pipeline == "chat": + interface = gr.ChatInterface(fn=fn, **kwargs) + else: + # For other pipelines, create a standard Interface (not implemented yet) + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/agents/promptize/src/promptize/providers/fireworks_gradio.py b/agents/promptize/src/promptize/providers/fireworks_gradio.py new file mode 100644 index 0000000..d17de0c --- /dev/null +++ b/agents/promptize/src/promptize/providers/fireworks_gradio.py @@ -0,0 +1,257 @@ +import os +from openai import OpenAI +import gradio as gr +from typing import Callable +from fireworks.client.audio import AudioInference + +__version__ = "0.0.3" + +LANGUAGES = { + "en": "english", "zh": "chinese", "de": "german", "es": "spanish", + "ru": "russian", "ko": "korean", "fr": "french", "ja": "japanese", + "pt": "portuguese", "tr": "turkish", "pl": "polish", "ca": "catalan", + "nl": "dutch", "ar": "arabic", "sv": "swedish", "it": "italian", + "id": "indonesian", "hi": "hindi", "fi": "finnish", "vi": "vietnamese", + "he": "hebrew", "uk": "ukrainian", "el": "greek", "ms": "malay", + "cs": "czech", "ro": "romanian", "da": "danish", "hu": "hungarian", + "ta": "tamil", "no": "norwegian", "th": "thai", "ur": "urdu", + "hr": "croatian", "bg": "bulgarian", "lt": "lithuanian", "la": "latin", + "mi": "maori", "ml": "malayalam", "cy": "welsh", "sk": "slovak", + "te": "telugu", "fa": "persian", "lv": "latvian", "bn": "bengali", + "sr": "serbian", "az": "azerbaijani", "sl": "slovenian", "kn": "kannada", + "et": "estonian", "mk": "macedonian", "br": "breton", "eu": "basque", + "is": "icelandic", "hy": "armenian", "ne": "nepali", "mn": "mongolian", + "bs": "bosnian", "kk": "kazakh", "sq": "albanian", "sw": "swahili", + "gl": "galician", "mr": "marathi", "pa": "punjabi", "si": "sinhala", + "km": "khmer", "sn": "shona", "yo": "yoruba", "so": "somali", + "af": "afrikaans", "oc": "occitan", "ka": "georgian", "be": "belarusian", + "tg": "tajik", "sd": "sindhi", "gu": "gujarati", "am": "amharic", + "yi": "yiddish", "lo": "lao", "uz": "uzbek", "fo": "faroese", + "ht": "haitian creole", "ps": "pashto", "tk": "turkmen", "nn": "nynorsk", + "mt": "maltese", "sa": "sanskrit", "lb": "luxembourgish", "my": "myanmar", + "bo": "tibetan", "tl": "tagalog", "mg": "malagasy", "as": "assamese", + "tt": "tatar", "haw": "hawaiian", "ln": "lingala", "ha": "hausa", + "ba": "bashkir", "jw": "javanese", "su": "sundanese", "yue": "cantonese" +} + +# Language code lookup by name, with additional aliases +TO_LANGUAGE_CODE = { + **{language: code for code, language in LANGUAGES.items()}, + "burmese": "my", + "valencian": "ca", + "flemish": "nl", + "haitian": "ht", + "letzeburgesch": "lb", + "pushto": "ps", + "panjabi": "pa", + "moldavian": "ro", + "moldovan": "ro", + "sinhalese": "si", + "castilian": "es", + "mandarin": "zh" +} + + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + if "whisper" in model_name: + def fn(message, history, audio_input=None): + # Handle audio input if provided + if audio_input: + if not audio_input.endswith('.wav'): + new_path = audio_input + '.wav' + os.rename(audio_input, new_path) + audio_input = new_path + + base_url = ( + "https://audio-turbo.us-virginia-1.direct.fireworks.ai" + if model_name == "whisper-v3-turbo" + else "https://audio-prod.us-virginia-1.direct.fireworks.ai" + ) + + client = AudioInference( + model=model_name, + base_url=base_url, + api_key=api_key + ) + + with open(audio_input, "rb") as f: + audio_data = f.read() + response = client.transcribe(audio=audio_data) + return {"role": "assistant", "content": response.text} + + # Handle text message + if isinstance(message, dict): # Multimodal input + audio_path = message.get("files", [None])[0] or message.get("audio") + text = message.get("text", "") + if audio_path: + # Process audio file + return fn(None, history, audio_path) + return {"role": "assistant", "content": "No audio input provided."} + else: # String input + return {"role": "assistant", "content": "Please upload an audio file or use the microphone to record audio."} + + else: + def fn(message, history, audio_input=None): + # Ignore audio_input for non-whisper models + inputs = preprocess(message, history) + client = OpenAI( + base_url="https://api.fireworks.ai/inference/v1", + api_key=api_key + ) + + model_path = ( + "accounts/fireworks/agents/f1-preview" if model_name == "f1-preview" + else "accounts/fireworks/agents/f1-mini-preview" if model_name == "f1-mini" + else f"accounts/fireworks/models/{model_name}" + ) + + completion = client.chat.completions.create( + model=model_path, + messages=[{"role": "user", "content": inputs["prompt"]}], + stream=True, + max_tokens=1024, + temperature=0.7, + top_p=1, + ) + + response_text = "" + for chunk in completion: + delta = chunk.choices[0].delta.content or "" + response_text += delta + yield {"role": "assistant", "content": response_text} + + return fn + + +def get_interface_args(pipeline): + if pipeline == "audio": + inputs = [ + gr.Audio(sources=["microphone"], type="filepath"), + gr.Radio(["transcribe"], label="Task", value="transcribe"), + ] + outputs = "text" + + def preprocess(audio_path, task, text, history): + if audio_path and not audio_path.endswith('.wav'): + new_path = audio_path + '.wav' + os.rename(audio_path, new_path) + audio_path = new_path + return {"role": "user", "content": {"audio_path": audio_path, "task": task}} + + def postprocess(text): + return {"role": "assistant", "content": text} + + elif pipeline == "chat": + inputs = gr.Textbox(label="Message") + outputs = "text" + + def preprocess(message, history): + return {"prompt": message} + + def postprocess(response): + return response + + else: + raise ValueError(f"Unsupported pipeline type: {pipeline}") + + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + if "whisper" in model_name: + return "audio" + return "chat" + + +def registry(name: str, token: str | None = None, **kwargs): + """ + Create a Gradio Interface for a model on Fireworks. + Can be used directly or with gr.load: + + Example: + # Direct usage + interface = fireworks_gradio.registry("whisper-v3", token="your-api-key") + interface.launch() + + # With gr.load + gr.load( + name='whisper-v3', + src=fireworks_gradio.registry, + ).launch() + + Parameters: + name (str): The name of the OpenAI model. + token (str, optional): The API key for OpenAI. + """ + # Make the function compatible with gr.load by accepting name as a positional argument + if not isinstance(name, str): + raise ValueError("Model name must be a string") + + api_key = token or os.environ.get("FIREWORKS_API_KEY") + if not api_key: + raise ValueError("FIREWORKS_API_KEY environment variable is not set.") + + pipeline = get_pipeline(name) + _, _, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(name, preprocess, postprocess, api_key) + + description = kwargs.pop("description", None) + if "whisper" in name: + description = (description or "") + """ + \n\nSupported inputs: + - Upload audio files using the textbox + - Record audio using the microphone + """ + + with gr.Blocks() as interface: + chatbot = gr.Chatbot(type="messages") + with gr.Row(): + mic = gr.Audio(sources=["microphone"], type="filepath", label="Record Audio") + + def process_audio(audio_path): + if audio_path: + if not audio_path.endswith('.wav'): + new_path = audio_path + '.wav' + os.rename(audio_path, new_path) + audio_path = new_path + + # Create message format expected by fn + message = {"files": [audio_path], "text": ""} + response = fn(message, []) + + return [ + {"role": "user", "content": gr.Audio(value=audio_path)}, + {"role": "assistant", "content": response["content"]} + ] + return [] + + mic.change( + fn=process_audio, + inputs=[mic], + outputs=[chatbot] + ) + + else: + # For non-whisper models, use regular ChatInterface + interface = gr.ChatInterface( + fn=fn, + type="messages", + description=description, + **kwargs + ) + + return interface + + +# Add these to make the module more discoverable +MODELS = [ + "whisper-v3", + "whisper-v3-turbo", + "f1-preview", + "f1-mini", + # Add other supported models here +] + +def get_all_models(): + """Returns a list of all supported models.""" + return MODELS \ No newline at end of file diff --git a/agents/promptize/src/promptize/providers/gemini_gradio.py b/agents/promptize/src/promptize/providers/gemini_gradio.py new file mode 100644 index 0000000..c57946d --- /dev/null +++ b/agents/promptize/src/promptize/providers/gemini_gradio.py @@ -0,0 +1,760 @@ +import os +from typing import Callable +import gradio as gr +import google.generativeai as genai +import base64 +import json +import numpy as np +import websockets.sync.client +from gradio_webrtc import StreamHandler, WebRTC, get_twilio_turn_credentials +import cv2 +import PIL.Image +import io +import re +import modelscope_studio.components.base as ms +import modelscope_studio.components.legacy as legacy +import modelscope_studio.components.antd as antd + + +__version__ = "0.0.3" + +# Constants for coder interface +SystemPrompt = """You are an expert web developer specializing in creating clean, efficient, and modern web applications. +Your task is to write complete, self-contained HTML files that include all necessary CSS and JavaScript. +Focus on: +- Writing clear, maintainable code +- Following best practices +- Creating responsive designs +- Adding appropriate styling and interactivity +Return only the complete HTML code without any additional explanation.""" + +DEMO_LIST = [ + { + "card": {"index": 0}, + "title": "Simple Button", + "description": "Create a button that changes color when clicked" + }, + { + "card": {"index": 1}, + "title": "Todo List", + "description": "Create a simple todo list with add/remove functionality" + }, + { + "card": {"index": 2}, + "title": "Timer App", + "description": "Create a countdown timer with start/pause/reset controls" + } +] + + +class GeminiConfig: + def __init__(self): + self.api_key = os.getenv("GEMINI_API_KEY") + self.host = "generativelanguage.googleapis.com" + self.model = "models/gemini-2.0-flash-exp" + self.ws_url = f"wss://{self.host}/ws/google.ai.generativelanguage.v1alpha.GenerativeService.BidiGenerateContent?key={self.api_key}" + + +class AudioProcessor: + @staticmethod + def encode_audio(data, sample_rate): + encoded = base64.b64encode(data.tobytes()).decode("UTF-8") + return { + "realtimeInput": { + "mediaChunks": [ + { + "mimeType": f"audio/pcm;rate={sample_rate}", + "data": encoded, + } + ], + }, + } + + @staticmethod + def process_audio_response(data): + audio_data = base64.b64decode(data) + return np.frombuffer(audio_data, dtype=np.int16) + + +def detection(frame, conf_threshold=0.3): + """Process video frame.""" + try: + # Convert BGR to RGB + image_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) + + # Create PIL Image + pil_image = PIL.Image.fromarray(image_rgb) + pil_image.thumbnail([1024, 1024]) + + # Convert back to numpy array + processed_frame = np.array(pil_image) + + # Convert back to BGR for OpenCV + processed_frame = cv2.cvtColor(processed_frame, cv2.COLOR_RGB2BGR) + + return processed_frame + except Exception as e: + print(f"Error processing frame: {e}") + return frame + + +class GeminiHandler(StreamHandler): + def __init__(self, expected_layout="mono", output_sample_rate=24000, output_frame_size=480) -> None: + super().__init__(expected_layout, output_sample_rate, output_frame_size, input_sample_rate=24000) + self.config = GeminiConfig() + self.ws = None + self.all_output_data = None + self.audio_processor = AudioProcessor() + self.current_frame = None + + def copy(self): + handler = GeminiHandler( + expected_layout=self.expected_layout, + output_sample_rate=self.output_sample_rate, + output_frame_size=self.output_frame_size, + ) + return handler + + def _initialize_websocket(self): + try: + self.ws = websockets.sync.client.connect(self.config.ws_url, timeout=30) + initial_request = { + "setup": { + "model": self.config.model, + } + } + self.ws.send(json.dumps(initial_request)) + setup_response = json.loads(self.ws.recv()) + print(f"Setup response: {setup_response}") + except websockets.exceptions.WebSocketException as e: + print(f"WebSocket connection failed: {str(e)}") + self.ws = None + except Exception as e: + print(f"Setup failed: {str(e)}") + self.ws = None + + def process_video_frame(self, frame): + self.current_frame = frame + _, buffer = cv2.imencode('.jpg', frame) + image_data = base64.b64encode(buffer).decode('utf-8') + return image_data + + def receive(self, frame: tuple[int, np.ndarray]) -> None: + try: + if not self.ws: + self._initialize_websocket() + + _, array = frame + array = array.squeeze() + + audio_data = self.audio_processor.encode_audio(array, self.output_sample_rate) + + message = { + "realtimeInput": { + "mediaChunks": [ + { + "mimeType": f"audio/pcm;rate={self.output_sample_rate}", + "data": audio_data["realtimeInput"]["mediaChunks"][0]["data"], + } + ], + } + } + + if self.current_frame is not None: + image_data = self.process_video_frame(self.current_frame) + message["realtimeInput"]["mediaChunks"].append({ + "mimeType": "image/jpeg", + "data": image_data + }) + + self.ws.send(json.dumps(message)) + except Exception as e: + print(f"Error in receive: {str(e)}") + if self.ws: + self.ws.close() + self.ws = None + + def _process_server_content(self, content): + for part in content.get("parts", []): + data = part.get("inlineData", {}).get("data", "") + if data: + audio_array = self.audio_processor.process_audio_response(data) + if self.all_output_data is None: + self.all_output_data = audio_array + else: + self.all_output_data = np.concatenate((self.all_output_data, audio_array)) + + while self.all_output_data.shape[-1] >= self.output_frame_size: + yield (self.output_sample_rate, self.all_output_data[: self.output_frame_size].reshape(1, -1)) + self.all_output_data = self.all_output_data[self.output_frame_size :] + + def generator(self): + while True: + if not self.ws: + print("WebSocket not connected") + yield None + continue + + try: + message = self.ws.recv(timeout=5) + msg = json.loads(message) + + if "serverContent" in msg: + content = msg["serverContent"].get("modelTurn", {}) + yield from self._process_server_content(content) + except TimeoutError: + print("Timeout waiting for server response") + yield None + except Exception as e: + print(f"Error in generator: {str(e)}") + yield None + + def emit(self) -> tuple[int, np.ndarray] | None: + if not self.ws: + return None + if not hasattr(self, "_generator"): + self._generator = self.generator() + try: + return next(self._generator) + except StopIteration: + self.reset() + return None + + def reset(self) -> None: + if hasattr(self, "_generator"): + delattr(self, "_generator") + self.all_output_data = None + + def shutdown(self) -> None: + if self.ws: + self.ws.close() + + def check_connection(self): + try: + if not self.ws or self.ws.closed: + self._initialize_websocket() + return True + except Exception as e: + print(f"Connection check failed: {str(e)}") + return False + + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + def fn(message, history, enable_search): + inputs = preprocess(message, history, enable_search) + is_gemini = model_name.startswith("gemini-") + + if is_gemini: + genai.configure(api_key=api_key) + + generation_config = { + "temperature": 1, + "top_p": 0.95, + "top_k": 40, + "max_output_tokens": 8192, + "response_mime_type": "text/plain", + } + + model = genai.GenerativeModel( + model_name=model_name, + generation_config=generation_config + ) + + chat = model.start_chat(history=inputs.get("history", [])) + + if inputs.get("enable_search"): + response = chat.send_message( + inputs["message"], + stream=True, + tools='google_search_retrieval' + ) + else: + response = chat.send_message(inputs["message"], stream=True) + + response_text = "" + for chunk in response: + if chunk.text: + response_text += chunk.text + yield {"role": "assistant", "content": response_text} + + return fn + + +def get_interface_args(pipeline, model_name: str): + if pipeline == "chat": + inputs = [gr.Checkbox(label="Enable Search", value=False)] + outputs = None + + def preprocess(message, history, enable_search): + is_gemini = model_name.startswith("gemini-") + if is_gemini: + # Handle multimodal input + if isinstance(message, dict): + parts = [] + if message.get("text"): + parts.append({"text": message["text"]}) + if message.get("files"): + for file in message["files"]: + # Determine file type and handle accordingly + if isinstance(file, str): # If it's a file path + mime_type = None + if file.lower().endswith('.pdf'): + mime_type = "application/pdf" + elif file.lower().endswith('.txt'): + mime_type = "text/plain" + elif file.lower().endswith('.html'): + mime_type = "text/html" + elif file.lower().endswith('.md'): + mime_type = "text/md" + elif file.lower().endswith('.csv'): + mime_type = "text/csv" + elif file.lower().endswith(('.js', '.javascript')): + mime_type = "application/x-javascript" + elif file.lower().endswith('.py'): + mime_type = "application/x-python" + + if mime_type: + try: + uploaded_file = genai.upload_file(file) + parts.append(uploaded_file) + except Exception as e: + print(f"Error uploading file: {e}") + else: + with open(file, "rb") as f: + image_data = f.read() + import base64 + image_data = base64.b64encode(image_data).decode() + parts.append({ + "inline_data": { + "mime_type": "image/jpeg", + "data": image_data + } + }) + else: # If it's binary data, treat as image + import base64 + image_data = base64.b64encode(file).decode() + parts.append({ + "inline_data": { + "mime_type": "image/jpeg", + "data": image_data + } + }) + message_parts = parts + else: + message_parts = [{"text": message}] + + # Process history + gemini_history = [] + for entry in history: + # Handle different history formats + if isinstance(entry, (list, tuple)): + user_msg, assistant_msg = entry + else: + # If it's a dict with role/content format + if entry.get("role") == "user": + user_msg = entry.get("content") + continue # Skip to next iteration to get assistant message + elif entry.get("role") == "assistant": + assistant_msg = entry.get("content") + continue # Skip to next iteration + else: + continue # Skip unknown roles + + # Process user message + if isinstance(user_msg, dict): + parts = [] + if user_msg.get("text"): + parts.append({"text": user_msg["text"]}) + if user_msg.get("files"): + for file in user_msg["files"]: + if isinstance(file, str): + mime_type = None + if file.lower().endswith('.pdf'): + mime_type = "application/pdf" + # ... (same mime type checks as before) + + if mime_type: + try: + uploaded_file = genai.upload_file(file) + parts.append(uploaded_file) + except Exception as e: + print(f"Error uploading file in history: {e}") + else: + with open(file, "rb") as f: + image_data = f.read() + import base64 + image_data = base64.b64encode(image_data).decode() + parts.append({ + "inline_data": { + "mime_type": "image/jpeg", + "data": image_data + } + }) + else: + import base64 + image_data = base64.b64encode(file).decode() + parts.append({ + "inline_data": { + "mime_type": "image/jpeg", + "data": image_data + } + }) + gemini_history.append({ + "role": "user", + "parts": parts + }) + else: + gemini_history.append({ + "role": "user", + "parts": [{"text": str(user_msg)}] + }) + + # Process assistant message + gemini_history.append({ + "role": "model", + "parts": [{"text": str(assistant_msg)}] + }) + + return { + "history": gemini_history, + "message": message_parts, + "enable_search": enable_search + } + else: + messages = [] + for user_msg, assistant_msg in history: + messages.append({"role": "user", "content": user_msg}) + messages.append({"role": "assistant", "content": assistant_msg}) + messages.append({"role": "user", "content": message}) + return {"messages": messages} + + postprocess = lambda x: x + else: + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + return "chat" + + +def registry( + name: str, + token: str | None = None, + examples: list | None = None, + enable_voice: bool = False, + enable_video: bool = False, + coder: bool = False, + **kwargs +): + env_key = "GEMINI_API_KEY" + api_key = token or os.environ.get(env_key) + if not api_key: + raise ValueError(f"{env_key} environment variable is not set.") + + if coder: + interface = gr.Blocks(css=""" + .left_header { + text-align: center; + margin-bottom: 20px; + } + + .right_panel { + background: white; + border-radius: 8px; + overflow: hidden; + box-shadow: 0 2px 8px rgba(0,0,0,0.15); + } + + .render_header { + background: #f5f5f5; + padding: 8px; + border-bottom: 1px solid #e8e8e8; + } + + .header_btn { + display: inline-block; + width: 12px; + height: 12px; + border-radius: 50%; + margin-right: 8px; + background: #ff5f56; + } + + .header_btn:nth-child(2) { + background: #ffbd2e; + } + + .header_btn:nth-child(3) { + background: #27c93f; + } + + .right_content { + padding: 24px; + height: 920px; + display: flex; + align-items: center; + justify-content: center; + } + + .html_content { + height: 920px; + width: 100%; + } + + .history_chatbot { + height: 100%; + } + """) + with interface: + history = gr.State([]) + setting = gr.State({"system": SystemPrompt}) + + with ms.Application() as app: + with antd.ConfigProvider(): + with antd.Row(gutter=[32, 12]) as layout: + # Left Column + with antd.Col(span=24, md=8): + with antd.Flex(vertical=True, gap="middle", wrap=True): + header = gr.HTML(""" +
+

Gemini Code Generator

+
+ """) + + input = antd.InputTextarea( + size="large", + allow_clear=True, + placeholder="Describe the web application you want to create" + ) + btn = antd.Button("Generate", type="primary", size="large") + clear_btn = antd.Button("Clear History", type="default", size="large") + + antd.Divider("Examples") + with antd.Flex(gap="small", wrap=True): + with ms.Each(DEMO_LIST): + with antd.Card(hoverable=True, as_item="card") as demoCard: + antd.CardMeta() + + antd.Divider("Settings") + with antd.Flex(gap="small", wrap=True): + settingPromptBtn = antd.Button("⚙️ System Prompt", type="default") + codeBtn = antd.Button("🧑‍💻 View Code", type="default") + historyBtn = antd.Button("📜 History", type="default") + + # Modals and Drawers + with antd.Modal(open=False, title="System Prompt", width="800px") as system_prompt_modal: + systemPromptInput = antd.InputTextarea(SystemPrompt, auto_size=True) + + with antd.Drawer(open=False, title="Code", placement="left", width="750px") as code_drawer: + code_output = legacy.Markdown() + + with antd.Drawer(open=False, title="History", placement="left", width="900px") as history_drawer: + history_output = legacy.Chatbot( + show_label=False, + height=960, + elem_classes="history_chatbot" + ) + + # Right Column + with antd.Col(span=24, md=16): + with ms.Div(elem_classes="right_panel"): + gr.HTML(''' +
+ + + +
+ ''') + with antd.Tabs(active_key="empty", render_tab_bar="() => null") as state_tab: + with antd.Tabs.Item(key="empty"): + empty = antd.Empty( + description="Enter your request to generate code", + elem_classes="right_content" + ) + with antd.Tabs.Item(key="loading"): + loading = antd.Spin( + True, + tip="Generating code...", + size="large", + elem_classes="right_content" + ) + with antd.Tabs.Item(key="render"): + preview = gr.HTML(elem_classes="html_content") + + # Event Handlers + def demo_card_click(e: gr.EventData): + index = e._data['component']['index'] + return DEMO_LIST[index]['description'] + + def send_to_preview(code): + encoded_html = base64.b64encode(code.encode('utf-8')).decode('utf-8') + data_uri = f"data:text/html;charset=utf-8;base64,{encoded_html}" + return f'' + + def remove_code_block(text): + pattern = r'```html\n(.+?)\n```' + match = re.search(pattern, text, re.DOTALL) + if match: + return match.group(1).strip() + return text.strip() + + def generate_code(query, setting, history): + # Convert messages to Gemini's expected format + messages = [] + # Add system message + messages.append({ + "role": "user", + "parts": [{"text": setting["system"]}] + }) + messages.append({ + "role": "model", + "parts": [{"text": "I understand. I will help you write clean, efficient web code."}] + }) + + # Add history + for h in history: + messages.append({ + "role": "user", + "parts": [{"text": h[0]}] + }) + messages.append({ + "role": "model", + "parts": [{"text": h[1]}] + }) + + # Add current query + messages.append({ + "role": "user", + "parts": [{"text": query}] + }) + + genai.configure(api_key=api_key) + model = genai.GenerativeModel(model_name=name) + response = model.generate_content(messages, stream=True) + + response_text = "" + for chunk in response: + if chunk.text: + response_text += chunk.text + # Return all 5 required outputs + yield ( + response_text, # code_output (modelscopemarkdown) + history, # state + None, # preview (html) + gr.update(active_key="loading"), # state_tab (antdtabs) + gr.update(open=True) # code_drawer (antddrawer) + ) + + clean_code = remove_code_block(response_text) + new_history = history + [(query, response_text)] + + # Final yield with all outputs + yield ( + response_text, # code_output (modelscopemarkdown) + new_history, # state + send_to_preview(clean_code), # preview (html) + gr.update(active_key="render"), # state_tab (antdtabs) + gr.update(open=False) # code_drawer (antddrawer) + ) + + # Wire up event handlers + demoCard.click(demo_card_click, outputs=[input]) + settingPromptBtn.click(lambda: gr.update(open=True), outputs=[system_prompt_modal]) + system_prompt_modal.ok( + lambda input: ({"system": input}, gr.update(open=False)), + inputs=[systemPromptInput], + outputs=[setting, system_prompt_modal] + ) + system_prompt_modal.cancel(lambda: gr.update(open=False), outputs=[system_prompt_modal]) + + codeBtn.click(lambda: gr.update(open=True), outputs=[code_drawer]) + code_drawer.close(lambda: gr.update(open=False), outputs=[code_drawer]) + + historyBtn.click( + lambda h: (gr.update(open=True), h), + inputs=[history], + outputs=[history_drawer, history_output] + ) + history_drawer.close(lambda: gr.update(open=False), outputs=[history_drawer]) + + btn.click( + generate_code, + inputs=[input, setting, history], + outputs=[code_output, history, preview, state_tab, code_drawer] + ) + + clear_btn.click(lambda: [], outputs=[history]) + + return interface + + # Regular chat interface code continues here... + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline, name) + fn = get_fn(name, preprocess, postprocess, api_key) + + if examples: + formatted_examples = [[example, False] for example in examples] + kwargs["examples"] = formatted_examples + + if pipeline == "chat": + if enable_voice or enable_video: + interface = gr.Blocks() + with interface: + gr.HTML( + """ +
+

Gemini Chat

+
+ """ + ) + + gemini_handler = GeminiHandler() + + with gr.Row(): + with gr.Column(scale=1): + if enable_video: + video = WebRTC( + label="Stream", + mode="send-receive", + modality="video", + rtc_configuration=get_twilio_turn_credentials() + ) + + if enable_voice: + audio = WebRTC( + label="Voice Chat", + modality="audio", + mode="send-receive", + rtc_configuration=get_twilio_turn_credentials(), + ) + + if enable_video: + video.stream( + fn=lambda frame: (frame, detection(frame)), + inputs=[video], + outputs=[video], + time_limit=90, + concurrency_limit=10 + ) + + if enable_voice: + audio.stream( + gemini_handler, + inputs=[audio], + outputs=[audio], + time_limit=90, + concurrency_limit=10 + ) + else: + interface = gr.ChatInterface( + fn=fn, + additional_inputs=inputs, + multimodal=True, + type="messages", + **kwargs + ) + else: + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/agents/promptize/src/promptize/providers/hyperbolic_gradio.py b/agents/promptize/src/promptize/providers/hyperbolic_gradio.py new file mode 100644 index 0000000..3974811 --- /dev/null +++ b/agents/promptize/src/promptize/providers/hyperbolic_gradio.py @@ -0,0 +1,326 @@ +import os +from openai import OpenAI +import gradio as gr +from typing import Callable +import base64 +import re +import modelscope_studio.components.base as ms +import modelscope_studio.components.legacy as legacy +import modelscope_studio.components.antd as antd + +# Constants for coder interface +SystemPrompt = """You are an expert web developer specializing in creating clean, efficient, and modern web applications. +Your task is to write complete, self-contained HTML files that include all necessary CSS and JavaScript. +Focus on: +- Writing clear, maintainable code +- Following best practices +- Creating responsive designs +- Adding appropriate styling and interactivity +Return only the complete HTML code without any additional explanation.""" + +DEMO_LIST = [ + { + "card": {"index": 0}, + "title": "Simple Button", + "description": "Create a button that changes color when clicked" + }, + { + "card": {"index": 1}, + "title": "Todo List", + "description": "Create a simple todo list with add/remove functionality" + }, + { + "card": {"index": 2}, + "title": "Timer App", + "description": "Create a countdown timer with start/pause/reset controls" + } +] + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str, base_url: str = None): + def fn(message, history): + inputs = preprocess(message, history) + # Set base URL and adjust endpoint handling + + client = OpenAI( + api_key=api_key, + base_url="https://api.hyperbolic.xyz/v1" + ) + + completion = client.chat.completions.create( + model=model_name, + messages=[ + *inputs["messages"] + ], + stream=True, + temperature=0.7, + max_tokens=512, + top_p=0.9, + ) + response_text = "" + for chunk in completion: + delta = chunk.choices[0].delta.content or "" + response_text += delta + yield postprocess(response_text) + + return fn + + +def get_interface_args(pipeline): + if pipeline == "chat": + inputs = None + outputs = None + + def preprocess(message, history): + messages = [] + for user_msg, assistant_msg in history: + messages.append({"role": "user", "content": user_msg}) + messages.append({"role": "assistant", "content": assistant_msg}) + messages.append({"role": "user", "content": message}) + return {"messages": messages} + + postprocess = lambda x: x # No post-processing needed + else: + # Add other pipeline types when they will be needed + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Determine the pipeline type based on the model name + # For simplicity, assuming all models are chat models at the moment + return "chat" + + +def registry(name: str, token: str | None = None, base_url: str | None = None, coder: bool = False, **kwargs): + api_key = token or os.environ.get("HYPERBOLIC_API_KEY") + if not api_key: + raise ValueError("API key is not set. Please provide a token or set HYPERBOLIC_API_KEY environment variable.") + + if coder: + interface = gr.Blocks(css=""" + .left_header { + text-align: center; + margin-bottom: 20px; + } + .right_panel { + background: white; + border-radius: 8px; + overflow: hidden; + box-shadow: 0 2px 8px rgba(0,0,0,0.15); + } + .render_header { + background: #f5f5f5; + padding: 8px; + border-bottom: 1px solid #e8e8e8; + } + .header_btn { + display: inline-block; + width: 12px; + height: 12px; + border-radius: 50%; + margin-right: 8px; + background: #ff5f56; + } + .header_btn:nth-child(2) { + background: #ffbd2e; + } + .header_btn:nth-child(3) { + background: #27c93f; + } + .right_content { + padding: 24px; + height: 920px; + display: flex; + align-items: center; + justify-content: center; + } + .html_content { + height: 920px; + width: 100%; + } + .history_chatbot { + height: 100%; + } + """) + + with interface: + history = gr.State([]) + setting = gr.State({"system": SystemPrompt}) + + with ms.Application() as app: + with antd.ConfigProvider(): + with antd.Row(gutter=[32, 12]) as layout: + # Left Column + with antd.Col(span=24, md=8): + with antd.Flex(vertical=True, gap="middle", wrap=True): + header = gr.HTML(""" +
+

Hyperbolic Code Generator

+
+ """) + + input = antd.InputTextarea( + size="large", + allow_clear=True, + placeholder="Describe the web application you want to create" + ) + btn = antd.Button("Generate", type="primary", size="large") + clear_btn = antd.Button("Clear History", type="default", size="large") + + antd.Divider("Examples") + with antd.Flex(gap="small", wrap=True): + with ms.Each(DEMO_LIST): + with antd.Card(hoverable=True, as_item="card") as demoCard: + antd.CardMeta() + + antd.Divider("Settings") + with antd.Flex(gap="small", wrap=True): + settingPromptBtn = antd.Button("⚙️ System Prompt", type="default") + codeBtn = antd.Button("🧑‍💻 View Code", type="default") + historyBtn = antd.Button("📜 History", type="default") + + # Modals and Drawers + with antd.Modal(open=False, title="System Prompt", width="800px") as system_prompt_modal: + systemPromptInput = antd.InputTextarea(SystemPrompt, auto_size=True) + + with antd.Drawer(open=False, title="Code", placement="left", width="750px") as code_drawer: + code_output = legacy.Markdown() + + with antd.Drawer(open=False, title="History", placement="left", width="900px") as history_drawer: + history_output = legacy.Chatbot( + show_label=False, + height=960, + elem_classes="history_chatbot" + ) + + # Right Column + with antd.Col(span=24, md=16): + with ms.Div(elem_classes="right_panel"): + gr.HTML(''' +
+ + + +
+ ''') + with antd.Tabs(active_key="empty", render_tab_bar="() => null") as state_tab: + with antd.Tabs.Item(key="empty"): + empty = antd.Empty( + description="Enter your request to generate code", + elem_classes="right_content" + ) + with antd.Tabs.Item(key="loading"): + loading = antd.Spin( + True, + tip="Generating code...", + size="large", + elem_classes="right_content" + ) + with antd.Tabs.Item(key="render"): + preview = gr.HTML(elem_classes="html_content") + + # Helper functions + def demo_card_click(e: gr.EventData): + index = e._data['component']['index'] + return DEMO_LIST[index]['description'] + + def send_to_preview(code): + encoded_html = base64.b64encode(code.encode('utf-8')).decode('utf-8') + data_uri = f"data:text/html;charset=utf-8;base64,{encoded_html}" + return f'' + + def remove_code_block(text): + pattern = r'```html\n(.+?)\n```' + match = re.search(pattern, text, re.DOTALL) + if match: + return match.group(1).strip() + return text.strip() + + def generate_code(query, setting, history): + client = OpenAI( + api_key=api_key, + base_url="https://api.hyperbolic.xyz/v1" + ) + + messages = [ + {"role": "system", "content": setting["system"]}, + ] + + for h in history: + messages.append({"role": "user", "content": h[0]}) + messages.append({"role": "assistant", "content": h[1]}) + + messages.append({"role": "user", "content": query}) + + response = client.chat.completions.create( + model=name, + messages=messages, + stream=True, + temperature=0.7, + max_tokens=2048, + ) + + response_text = "" + for chunk in response: + if chunk.choices[0].delta.content: + response_text += chunk.choices[0].delta.content + yield ( + response_text, + history, + None, + gr.update(active_key="loading"), + gr.update(open=True) + ) + + clean_code = remove_code_block(response_text) + new_history = history + [(query, response_text)] + + yield ( + response_text, + new_history, + send_to_preview(clean_code), + gr.update(active_key="render"), + gr.update(open=False) + ) + + # Wire up event handlers + demoCard.click(demo_card_click, outputs=[input]) + settingPromptBtn.click(lambda: gr.update(open=True), outputs=[system_prompt_modal]) + system_prompt_modal.ok( + lambda input: ({"system": input}, gr.update(open=False)), + inputs=[systemPromptInput], + outputs=[setting, system_prompt_modal] + ) + system_prompt_modal.cancel(lambda: gr.update(open=False), outputs=[system_prompt_modal]) + + codeBtn.click(lambda: gr.update(open=True), outputs=[code_drawer]) + code_drawer.close(lambda: gr.update(open=False), outputs=[code_drawer]) + + historyBtn.click( + lambda h: (gr.update(open=True), h), + inputs=[history], + outputs=[history_drawer, history_output] + ) + history_drawer.close(lambda: gr.update(open=False), outputs=[history_drawer]) + + btn.click( + generate_code, + inputs=[input, setting, history], + outputs=[code_output, history, preview, state_tab, code_drawer] + ) + + clear_btn.click(lambda: [], outputs=[history]) + + return interface + + # Regular chat interface + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(name, preprocess, postprocess, api_key, base_url) + + if pipeline == "chat": + interface = gr.ChatInterface(fn=fn, **kwargs) + else: + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/agents/promptize/src/promptize/providers/lumaai_gradio.py b/agents/promptize/src/promptize/providers/lumaai_gradio.py new file mode 100644 index 0000000..045dfe3 --- /dev/null +++ b/agents/promptize/src/promptize/providers/lumaai_gradio.py @@ -0,0 +1,164 @@ +import os +from lumaai import LumaAI +import gradio as gr +from typing import Callable +import base64 +import time + +__version__ = "0.0.3" + + +def get_fn(preprocess: Callable, postprocess: Callable, api_key: str, pipeline: str): + def fn(message, history, generation_type): + try: + inputs = preprocess(message, history) + # Create a fresh client instance for each generation + client = LumaAI(auth_token=api_key) + + # Validate generation type + if generation_type not in ["video", "image"]: + raise ValueError(f"Invalid generation type: {generation_type}") + + try: + if generation_type == "video": + generation = client.generations.create( + prompt=inputs["prompt"], + **inputs.get("additional_params", {}) + ) + else: # image + generation = client.generations.image.create( + prompt=inputs["prompt"], + **inputs.get("additional_params", {}) + ) + except Exception as e: + raise RuntimeError(f"Failed to create generation: {str(e)}") + + # Poll for completion with timeout + start_time = time.time() + timeout = 300 # 5 minutes timeout + + while True: + if time.time() - start_time > timeout: + raise RuntimeError("Generation timed out after 5 minutes") + + try: + generation = client.generations.get(id=generation.id) + if generation.state == "completed": + asset_url = generation.assets.video if generation_type == "video" else generation.assets.image + break + elif generation.state == "failed": + raise RuntimeError(f"Generation failed: {generation.failure_reason}") + time.sleep(3) + yield f"Generating {generation_type}... (Status: {generation.state})" + except Exception as e: + raise RuntimeError(f"Error checking generation status: {str(e)}") + + # Return asset URL wrapped in appropriate format for display + yield postprocess(asset_url, generation_type) + + except Exception as e: + yield f"Error: {str(e)}" + raise + + return fn + + +def get_image_base64(url: str, ext: str): + with open(url, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + return "data:image/" + ext + ";base64," + encoded_string + + +def handle_user_msg(message: str): + if type(message) is str: + return message + elif type(message) is dict: + if message["files"] is not None and len(message["files"]) > 0: + ext = os.path.splitext(message["files"][-1])[1].strip(".") + if ext.lower() in ["png", "jpg", "jpeg", "gif", "pdf"]: + encoded_str = get_image_base64(message["files"][-1], ext) + else: + raise NotImplementedError(f"Not supported file type {ext}") + content = [ + {"type": "text", "text": message["text"]}, + { + "type": "image_url", + "image_url": { + "url": encoded_str, + } + }, + ] + else: + content = message["text"] + return content + else: + raise NotImplementedError + + +def get_interface_args(pipeline): + generation_type = gr.Dropdown( + choices=["video", "image"], + label="Generation Type", + value="video" if pipeline == "video" else "image" + ) + outputs = None + + def preprocess(message, history): + if isinstance(message, str): + return {"prompt": message} + elif isinstance(message, dict): + prompt = message.get("text", "") + additional_params = {} + + # Handle optional parameters + if message.get("aspect_ratio"): + additional_params["aspect_ratio"] = message["aspect_ratio"] + if message.get("model"): + additional_params["model"] = message["model"] + + return { + "prompt": prompt, + "additional_params": additional_params + } + + def postprocess(url, generation_type): + if generation_type == "video": + return f'' + else: + return f"![Generated Image]({url})" + + return generation_type, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Support both video and image pipelines + return "video" if model_name == "dream-machine" else "image" + + +def registry(name: str = "dream-machine", token: str = None, **kwargs): + """ + Create a Gradio Interface for LumaAI generation. + + Parameters: + - name (str): Model name (defaults to 'dream-machine' for video, use 'photon-1' or 'photon-flash-1' for images) + - token (str, optional): The API key for LumaAI + - **kwargs: Additional keyword arguments passed to gr.Interface + """ + api_key = token or kwargs.pop('api_key', None) or os.environ.get("LUMAAI_API_KEY") + if not api_key: + raise ValueError("API key must be provided either through token parameter, kwargs, or LUMAAI_API_KEY environment variable.") + + pipeline = get_pipeline(name) + generation_type, outputs, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(preprocess, postprocess, api_key, pipeline) + + interface = gr.ChatInterface( + fn=fn, + additional_inputs=[generation_type], + type="messages", + title="LumaAI Generation", + description="Generate videos or images from text prompts using LumaAI", + **kwargs + ) + + return interface \ No newline at end of file diff --git a/agents/promptize/src/promptize/providers/openai_gradio.py b/agents/promptize/src/promptize/providers/openai_gradio.py new file mode 100644 index 0000000..c09d169 --- /dev/null +++ b/agents/promptize/src/promptize/providers/openai_gradio.py @@ -0,0 +1,235 @@ +import os +import asyncio +import base64 +import time +from threading import Event, Thread + +import gradio as gr +import numpy as np +from openai import OpenAI +from gradio_webrtc import ( + AdditionalOutputs, + StreamHandler, + WebRTC, + get_twilio_turn_credentials, +) +from pydub import AudioSegment + +SAMPLE_RATE = 24000 + +def encode_audio(sample_rate, data): + segment = AudioSegment( + data.tobytes(), + frame_rate=sample_rate, + sample_width=data.dtype.itemsize, + channels=1, + ) + pcm_audio = ( + segment.set_frame_rate(SAMPLE_RATE).set_channels(1).set_sample_width(2).raw_data + ) + return base64.b64encode(pcm_audio).decode("utf-8") + +class RealtimeHandler(StreamHandler): + def __init__( + self, + expected_layout="mono", + output_sample_rate=SAMPLE_RATE, + output_frame_size=480, + model=None + ) -> None: + super().__init__( + expected_layout, + output_sample_rate, + output_frame_size, + input_sample_rate=SAMPLE_RATE, + ) + self.model = model + # Initialize Event objects first + self.args_set = Event() + self.quit = Event() + self.connected = Event() + self.reset_state() + + def reset_state(self): + """Reset connection state for new recording session""" + self.connection = None + self.args_set.clear() + self.quit.clear() + self.connected.clear() + self.thread = None + self._generator = None + self.current_session = None + + def copy(self): + return RealtimeHandler( + expected_layout=self.expected_layout, + output_sample_rate=self.output_sample_rate, + output_frame_size=self.output_frame_size, + model=self.model + ) + + def _initialize_connection(self, api_key: str): + self.client = OpenAI(api_key=api_key) + with self.client.beta.realtime.connect( + model=self.model + ) as conn: + conn.session.update(session={"turn_detection": {"type": "server_vad"}}) + self.connection = conn + self.connected.set() + self.current_session = conn.session + while not self.quit.is_set(): + time.sleep(0.25) + + async def fetch_args(self): + if self.channel: + self.channel.send("tick") + + def set_args(self, args): + super().set_args(args) + self.args_set.set() + + def receive(self, frame: tuple[int, np.ndarray]) -> None: + if not self.channel: + return + try: + # Initialize connection if needed + if not self.connection: + asyncio.run_coroutine_threadsafe(self.fetch_args(), self.loop) + self.args_set.wait() + self.thread = Thread( + target=self._initialize_connection, args=(self.latest_args[-1],) + ) + self.thread.start() + self.connected.wait() + + # Send audio data + assert self.connection, "Connection not initialized" + sample_rate, array = frame + array = array.squeeze() + audio_message = encode_audio(sample_rate, array) + + # Send the audio data + self.connection.input_audio_buffer.append(audio=audio_message) + + except Exception as e: + print(f"Error in receive: {str(e)}") + import traceback + traceback.print_exc() + + def generator(self): + while True: + if not self.connection: + yield None + continue + for event in self.connection: + if event.type == "response.audio_transcript.done": + yield AdditionalOutputs(event) + if event.type == "response.audio.delta": + yield ( + self.output_sample_rate, + np.frombuffer( + base64.b64decode(event.delta), dtype=np.int16 + ).reshape(1, -1), + ) + + def emit(self) -> tuple[int, np.ndarray] | None: + if not self.connection: + return None + if not self._generator: + self._generator = self.generator() + try: + return next(self._generator) + except StopIteration: + self._generator = self.generator() + return None + + def shutdown(self) -> None: + if self.connection: + self.quit.set() + self.connection.close() + if self.thread: + self.thread.join(timeout=5) + self.reset_state() # Reset state after shutdown + +def update_chatbot(chatbot: list[dict], response): + chatbot.append({"role": "assistant", "content": response.transcript}) + return chatbot + +def get_fn(api_key: str, model: str): + # Return the function instead of executing it + def chat_fn(message, history): + client = OpenAI(api_key=api_key) + messages = [] + for user_msg, assistant_msg in history: + messages.append({"role": "user", "content": user_msg}) + messages.append({"role": "assistant", "content": assistant_msg}) + messages.append({"role": "user", "content": message}) + + response = client.chat.completions.create( + model=model, + messages=messages, + stream=True + ) + + partial_message = "" + for chunk in response: + if chunk.choices[0].delta.content: + partial_message += chunk.choices[0].delta.content + yield partial_message + + return chat_fn # Return the function object + +def registry(name: str, token: str | None = None, twilio_sid: str | None = None, twilio_token: str | None = None, enable_voice: bool = False, **kwargs): + api_key = token or os.environ.get("OPENAI_API_KEY") + if not api_key: + raise ValueError("OPENAI_API_KEY environment variable is not set.") + + model = name if name else "gpt-4" + + # Check if model is a realtime model or if enable_voice is True + is_realtime_model = "realtime" in model.lower() + use_voice_ui = enable_voice or is_realtime_model + + if use_voice_ui: + # Voice UI implementation + with gr.Blocks() as interface: + # Set initial visibility based on whether API key is provided + show_api_input = api_key is None + + with gr.Row(visible=show_api_input) as api_key_row: + api_key_input = gr.Textbox( + label="OpenAI API Key", + placeholder="Enter your OpenAI API Key", + value=api_key, + type="password", + ) + + with gr.Row(visible=not show_api_input) as row: + webrtc = WebRTC( + label="Conversation", + modality="audio", + mode="send-receive", + rtc_configuration=get_twilio_turn_credentials(twilio_sid, twilio_token), + ) + + webrtc.stream( + RealtimeHandler(model=model), + inputs=[webrtc, api_key_input], + outputs=[webrtc], + time_limit=90, + concurrency_limit=10, + ) + + api_key_input.submit( + lambda: (gr.update(visible=False), gr.update(visible=True)), + None, + [api_key_row, row], + ) + else: + # New chat interface implementation + interface = gr.ChatInterface( + fn=get_fn(api_key, model), + **kwargs + ) + + return interface \ No newline at end of file diff --git a/agents/promptize/src/promptize/providers/qwen_gradio.py b/agents/promptize/src/promptize/providers/qwen_gradio.py new file mode 100644 index 0000000..dda18fd --- /dev/null +++ b/agents/promptize/src/promptize/providers/qwen_gradio.py @@ -0,0 +1,109 @@ +import os +from openai import OpenAI +import gradio as gr +from typing import Callable + +__version__ = "0.0.3" + + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str, base_url: str | None = None): + def fn(message, history): + inputs = preprocess(message, history) + + + + client = OpenAI( + api_key=api_key, + base_url="https://dashscope.aliyuncs.com/compatible-mode/v1" + ) + completion = client.chat.completions.create( + model=model_name, + messages=inputs["messages"], + stream=True, + ) + response_text = "" + for chunk in completion: + delta = chunk.choices[0].delta.content or "" + response_text += delta + yield postprocess(response_text) + + return fn + + +def get_interface_args(pipeline, model_name: str): + if pipeline == "chat": + inputs = None + outputs = None + + def preprocess(message, history): + messages = [] + # Add system prompt for qwq-32b-preview + if model_name == "qwq-32b-preview": + messages.append({ + "role": "system", + "content": "You are a helpful and harmless assistant. You are Qwen developed by Alibaba. You should think step-by-step." + }) + + for user_msg, assistant_msg in history: + messages.append({"role": "user", "content": user_msg}) + messages.append({"role": "assistant", "content": assistant_msg}) + + # Handle multimodal input + if isinstance(message, dict): + content = [] + if message.get("files"): + # Convert local file path to data URL + import base64 + with open(message["files"][0], "rb") as image_file: + encoded_image = base64.b64encode(image_file.read()).decode('utf-8') + content.append({ + "type": "image_url", + "image_url": f"data:image/jpeg;base64,{encoded_image}" + }) + content.append({ + "type": "text", + "text": message["text"] + }) + messages.append({"role": "user", "content": content}) + else: + messages.append({"role": "user", "content": [{"type": "text", "text": message}]}) + + return {"messages": messages} + + postprocess = lambda x: x # No post-processing needed + else: + # Add other pipeline types when they will be needed + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Determine the pipeline type based on the model name + # For simplicity, assuming all models are chat models at the moment + return "chat" + + +def registry(name: str, token: str | None = None, base_url: str | None = None, **kwargs): + """ + Create a Gradio Interface for a model on OpenAI or DashScope. + + Parameters: + - name (str): The name of the model (e.g. "qwen-turbo", "gpt-3.5-turbo") + - token (str, optional): The API key + - base_url (str, optional): The base URL for the API. Defaults to DashScope URL. + """ + api_key = token or os.environ.get("DASHSCOPE_API_KEY") + if not api_key: + raise ValueError("API key not found in environment variables.") + + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline, name) + fn = get_fn(name, preprocess, postprocess, api_key, base_url) + + if pipeline == "chat": + interface = gr.ChatInterface(fn=fn, multimodal=True, **kwargs) + else: + # For other pipelines, create a standard Interface (not implemented yet) + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/agents/promptize/src/promptize/providers/sambanova_gradio.py b/agents/promptize/src/promptize/providers/sambanova_gradio.py new file mode 100644 index 0000000..a8e2c56 --- /dev/null +++ b/agents/promptize/src/promptize/providers/sambanova_gradio.py @@ -0,0 +1,120 @@ +import os +import base64 +from openai import OpenAI +import gradio as gr +from typing import Callable + +__version__ = "0.0.1" + +def get_image_base64(url: str, ext: str): + with open(url, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + return "data:image/" + ext + ";base64," + encoded_string + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + def fn(message, history): + inputs = preprocess(message, history) + client = OpenAI( + base_url="https://api.sambanova.ai/v1/", + api_key=api_key, + ) + try: + completion = client.chat.completions.create( + model=model_name, + messages=inputs["messages"], + stream=True, + ) + response_text = "" + for chunk in completion: + delta = chunk.choices[0].delta.content or "" + response_text += delta + yield postprocess(response_text) + except Exception as e: + error_message = f"Error: {str(e)}" + return error_message + + return fn + +def handle_user_msg(message: str): + if type(message) is str: + return message + elif type(message) is dict: + if message["files"] is not None and len(message["files"]) > 0: + ext = os.path.splitext(message["files"][-1])[1].strip(".") + if ext.lower() in ["png", "jpg", "jpeg", "gif", "pdf"]: + encoded_str = get_image_base64(message["files"][-1], ext) + else: + raise NotImplementedError(f"Not supported file type {ext}") + content = [ + {"type": "text", "text": message["text"]}, + { + "type": "image_url", + "image_url": { + "url": encoded_str, + } + }, + ] + else: + content = message["text"] + return content + else: + raise NotImplementedError + +def get_interface_args(pipeline): + if pipeline == "chat": + inputs = None + outputs = None + + def preprocess(message, history): + messages = [] + files = None + for user_msg, assistant_msg in history: + if assistant_msg is not None: + messages.append({"role": "user", "content": handle_user_msg(user_msg)}) + messages.append({"role": "assistant", "content": assistant_msg}) + else: + files = user_msg + if type(message) is str and files is not None: + message = {"text":message, "files":files} + elif type(message) is dict and files is not None: + if message["files"] is None or len(message["files"]) == 0: + message["files"] = files + messages.append({"role": "user", "content": handle_user_msg(message)}) + return {"messages": messages} + + postprocess = lambda x: x # No post-processing needed + else: + # Add other pipeline types when they will be needed + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Determine the pipeline type based on the model name + # For simplicity, assuming all models are chat models at the moment + return "chat" + + +def registry(name: str, token: str | None = None, **kwargs): + """ + Create a Gradio Interface for a model on Sambanova. + + Parameters: + - name (str): The name of the model on Sambanova. + - token (str, optional): The API key for Sambanova. + """ + api_key = token or os.environ.get("SAMBANOVA_API_KEY") + if not api_key: + raise ValueError("SAMBANOVA_API_KEY environment variable is not set.") + + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(name, preprocess, postprocess, api_key) + + if pipeline == "chat": + interface = gr.ChatInterface(fn=fn, **kwargs) + else: + # For other pipelines, create a standard Interface (not implemented yet) + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/agents/promptize/src/promptize/providers/together_gradio.py b/agents/promptize/src/promptize/providers/together_gradio.py new file mode 100644 index 0000000..631dea2 --- /dev/null +++ b/agents/promptize/src/promptize/providers/together_gradio.py @@ -0,0 +1,120 @@ +import os +import base64 +from openai import OpenAI +import gradio as gr +from typing import Callable + +__version__ = "0.0.1" + +def get_image_base64(url: str, ext: str): + with open(url, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + return "data:image/" + ext + ";base64," + encoded_string + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + def fn(message, history): + inputs = preprocess(message, history) + client = OpenAI( + base_url="https://api.together.xyz/v1", + api_key=api_key, + ) + try: + completion = client.chat.completions.create( + model=model_name, + messages=inputs["messages"], + stream=True, + ) + response_text = "" + for chunk in completion: + delta = chunk.choices[0].delta.content or "" + response_text += delta + yield postprocess(response_text) + except Exception as e: + error_message = f"Error: {str(e)}" + return error_message + + return fn + +def handle_user_msg(message: str): + if type(message) is str: + return message + elif type(message) is dict: + if message["files"] is not None and len(message["files"]) > 0: + ext = os.path.splitext(message["files"][-1])[1].strip(".") + if ext.lower() in ["png", "jpg", "jpeg", "gif", "pdf"]: + encoded_str = get_image_base64(message["files"][-1], ext) + else: + raise NotImplementedError(f"Not supported file type {ext}") + content = [ + {"type": "text", "text": message["text"]}, + { + "type": "image_url", + "image_url": { + "url": encoded_str, + } + }, + ] + else: + content = message["text"] + return content + else: + raise NotImplementedError + +def get_interface_args(pipeline): + if pipeline == "chat": + inputs = None + outputs = None + + def preprocess(message, history): + messages = [] + files = None + for user_msg, assistant_msg in history: + if assistant_msg is not None: + messages.append({"role": "user", "content": handle_user_msg(user_msg)}) + messages.append({"role": "assistant", "content": assistant_msg}) + else: + files = user_msg + if type(message) is str and files is not None: + message = {"text":message, "files":files} + elif type(message) is dict and files is not None: + if message["files"] is None or len(message["files"]) == 0: + message["files"] = files + messages.append({"role": "user", "content": handle_user_msg(message)}) + return {"messages": messages} + + postprocess = lambda x: x # No post-processing needed + else: + # Add other pipeline types when they will be needed + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Determine the pipeline type based on the model name + # For simplicity, assuming all models are chat models at the moment + return "chat" + + +def registry(name: str, token: str | None = None, **kwargs): + """ + Create a Gradio Interface for a model on Together. + + Parameters: + - name (str): The name of the model on Together. + - token (str, optional): The API key for Together. + """ + api_key = token or os.environ.get("TOGETHER_API_KEY") + if not api_key: + raise ValueError("TOGETHER_API_KEY environment variable is not set.") + + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(name, preprocess, postprocess, api_key) + + if pipeline == "chat": + interface = gr.ChatInterface(fn=fn, **kwargs) + else: + # For other pipelines, create a standard Interface (not implemented yet) + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/agents/promptize/src/promptize/providers/xai_gradio.py b/agents/promptize/src/promptize/providers/xai_gradio.py new file mode 100644 index 0000000..667975e --- /dev/null +++ b/agents/promptize/src/promptize/providers/xai_gradio.py @@ -0,0 +1,105 @@ +import os +import base64 +from openai import OpenAI +import gradio as gr +from typing import Callable + +__version__ = "0.0.1" + +def get_image_base64(url: str, ext: str): + with open(url, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + return "data:image/" + ext + ";base64," + encoded_string + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + def fn(message, history): + inputs = preprocess(message, history) + client = OpenAI( + api_key=api_key, + base_url="https://api.x.ai/v1", + ) + completion = client.chat.completions.create( + model=model_name, + messages=inputs["messages"], + stream=True, + ) + response_text = "" + for chunk in completion: + delta = chunk.choices[0].delta.content or "" + response_text += delta + yield postprocess(response_text) + + return fn + +def handle_user_msg(message: str): + if type(message) is str: + return message + elif type(message) is dict: + if message["files"] is not None and len(message["files"]) > 0: + ext = os.path.splitext(message["files"][-1])[1].strip(".") + if ext.lower() in ["png", "jpg", "jpeg", "gif"]: + encoded_str = get_image_base64(message["files"][-1], ext) + else: + raise NotImplementedError(f"Not supported file type {ext}") + content = [ + {"type": "text", "text": message["text"]}, + { + "type": "image_url", + "image_url": { + "url": encoded_str, + } + }, + ] + else: + content = message["text"] + return content + else: + raise NotImplementedError + +def get_interface_args(model_name: str): + inputs = None + outputs = None + + def preprocess(message, history): + messages = [{"role": "system", "content": "You are Grok, a chatbot inspired by the Hitchhikers Guide to the Galaxy."}] + files = None + for user_msg, assistant_msg in history: + if assistant_msg is not None: + messages.append({"role": "user", "content": handle_user_msg(user_msg)}) + messages.append({"role": "assistant", "content": assistant_msg}) + else: + files = user_msg + + if type(message) is str and files is not None: + message = {"text": message, "files": files} + elif type(message) is dict and files is not None: + if message["files"] is None or len(message["files"]) == 0: + message["files"] = files + + messages.append({"role": "user", "content": handle_user_msg(message)}) + return {"messages": messages} + + postprocess = lambda x: x # No post-processing needed + return inputs, outputs, preprocess, postprocess + +def registry(name: str = "grok-beta", token: str | None = None, **kwargs): + """ + Create a Gradio Interface for X.AI's Grok model. + + Parameters: + - name (str): The name of the model (defaults to "grok-beta" or "grok-vision-beta") + - token (str, optional): The X.AI API key + """ + api_key = token or os.environ.get("XAI_API_KEY") + if not api_key: + raise ValueError("XAI_API_KEY environment variable is not set.") + + inputs, outputs, preprocess, postprocess = get_interface_args(name) + fn = get_fn(name, preprocess, postprocess, api_key) + + # Always set multimodal=True + kwargs["multimodal"] = True + + interface = gr.ChatInterface(fn=fn, **kwargs) + + return interface \ No newline at end of file diff --git a/appkits/qpyapp/.devcontainer/environment.yml b/appkits/qpyapp/.devcontainer/environment.yml new file mode 100644 index 0000000..b786aa6 --- /dev/null +++ b/appkits/qpyapp/.devcontainer/environment.yml @@ -0,0 +1,5 @@ +name: qpyapp +channels: + - defaults +dependencies: + - python=3.12 \ No newline at end of file diff --git a/appkits/qpyapp/.gitignore b/appkits/qpyapp/.gitignore new file mode 100644 index 0000000..7b5f48d --- /dev/null +++ b/appkits/qpyapp/.gitignore @@ -0,0 +1,179 @@ +# Python cache files +__pycache__/ +*.pyc + +# Virtual environment +env/ +.venv/ + +# Package artifacts +dist/ +build/ +*.egg-info/ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class +.idea/ +# C extensions +*.so +site/ +.env +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm-project.org/#use-with-ide +.pdm.toml +.pdm-python +.pdm-build/ + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ +.venv/ +erupts-web/ +.pdm-python +pdm.lock diff --git a/appkits/qpyapp/README.md b/appkits/qpyapp/README.md index e69de29..2ed485b 100644 --- a/appkits/qpyapp/README.md +++ b/appkits/qpyapp/README.md @@ -0,0 +1,731 @@ +# README + +prompt, llm, agent + + +## Promptfoo + +- [promptfoo](https://www.promptfoo.dev/) +- installation +```shell +npm install -g promptfoo + +``` + +## prompt-layer + +- [prompt-layer](https://github.com/MagnivOrg/prompt-layer-library.git) + +## Doing someting LLMS application from gradio or streamlit + +## Ref + +- [unwindai](https://www.theunwindai.com/) +- [ai-gradio](https://github.com/AK391/ai-gradio) + +# `ai-gradio` + +A Python package that makes it easy for developers to create machine learning apps powered by OpenAI, Google's Gemini models, Anthropic's Claude, LumaAI, CrewAI, XAI's Grok, and Hyperbolic and more. + +## Installation + +You can install `ai-gradio` with different providers: + +```bash +# Install with OpenAI support +pip install 'ai-gradio[openai]' + +# Install with Gemini support +pip install 'ai-gradio[gemini]' + +# Install with CrewAI support +pip install 'ai-gradio[crewai]' + +# Install with Anthropic support +pip install 'ai-gradio[anthropic]' + +# Install with LumaAI support +pip install 'ai-gradio[lumaai]' + +# Install with XAI support +pip install 'ai-gradio[xai]' + +# Install with Cohere support +pip install 'ai-gradio[cohere]' + +# Install with SambaNova support +pip install 'ai-gradio[sambanova]' + +# Install with Hyperbolic support +pip install 'ai-gradio[hyperbolic]' + +# Install with all providers +pip install 'ai-gradio[all]' + +# Installation additions: +pip install 'ai-gradio[fireworks]' +pip install 'ai-gradio[together]' +pip install 'ai-gradio[qwen]' + +# Install with DeepSeek support +pip install 'ai-gradio[deepseek]' +``` + +## Basic Usage + +First, set your API key in the environment: + +For OpenAI: +```bash +export OPENAI_API_KEY= +``` + +For Gemini: +```bash +export GEMINI_API_KEY= +``` + +For Anthropic: +```bash +export ANTHROPIC_API_KEY= +``` + +For LumaAI: +```bash +export LUMAAI_API_KEY= +``` + +For XAI: +```bash +export XAI_API_KEY= +``` + +For Cohere: +```bash +export COHERE_API_KEY= +``` + +For SambaNova: +```bash +export SAMBANOVA_API_KEY= +``` + +For Hyperbolic: +```bash +export HYPERBOLIC_API_KEY= +``` + +For DeepSeek: +```bash +export DEEPSEEK_API_KEY= +``` + +Then in a Python file: + +```python +import gradio as gr +import ai_gradio + +# Create a Gradio interface +gr.load( + name='openai:gpt-4-turbo', # or 'gemini:gemini-1.5-flash' for Gemini, or 'xai:grok-beta' for Grok + src=ai_gradio.registry, + title='AI Chat', + description='Chat with an AI model' +).launch() +``` + +## Features + +### Text Chat +Basic text chat is supported for all text models. The interface provides a chat-like experience where you can have conversations with the AI model. + +### Voice Chat (OpenAI only) +Voice chat is supported for OpenAI realtime models. You can enable it in two ways: + +```python +# Using a realtime model +gr.load( + name='openai:gpt-4o-realtime-preview-2024-10-01', + src=ai_gradio.registry +).launch() + +# Or explicitly enabling voice chat with any realtime model +gr.load( + name='openai:gpt-4o-mini-realtime-preview-2024-12-17', + src=ai_gradio.registry, + enable_voice=True +).launch() +``` + +### Voice Chat Configuration + +For voice chat functionality, you'll need: + +1. OpenAI API key (required): +```bash +export OPENAI_API_KEY= +``` + +2. Twilio credentials (recommended for better WebRTC performance): +```bash +export TWILIO_ACCOUNT_SID= +export TWILIO_AUTH_TOKEN= +``` + +You can get Twilio credentials by: +- Creating a free account at Twilio +- Finding your Account SID and Auth Token in the Twilio Console + +Without Twilio credentials, voice chat will still work but might have connectivity issues in some network environments. + +### Gemini Code Generator Interface +```python +import gradio as gr +import ai_gradio + +# Create a code generation interface with Gemini +gr.load( + name='gemini:gemini-pro', + src=ai_gradio.registry, + coder=True, # Enable code generation interface + title='Gemini Code Generator', + description='Generate web applications with Gemini' +).launch() +``` + +This creates an interactive code generation interface with: +- Input area for describing the desired web application +- Live preview of generated code +- Example templates +- System prompt configuration +- Code history tracking +- Real-time code preview + +Example prompts: +```python +examples = [ + "Create a button that changes color when clicked", + "Create a simple todo list with add/remove functionality", + "Create a countdown timer with start/pause/reset controls" +] +``` + +### Video Chat (Gemini only) +Video chat is supported for Gemini models. You can enable it by setting `enable_video=True`: + +```python +gr.load( + name='gemini:gemini-1.5-flash', + src=ai_gradio.registry, + enable_video=True +).launch() +``` + +### Text Generation with DeepSeek +DeepSeek models support text generation and coding assistance: + +```python +gr.load( + name='deepseek:deepseek-chat', + src=ai_gradio.registry, + title='DeepSeek Chat', + description='Chat with DeepSeek' +).launch() + +# For code assistance +gr.load( + name='deepseek:deepseek-coder', + src=ai_gradio.registry, + title='DeepSeek Coder', + description='Get coding help from DeepSeek' +).launch() + +# For vision tasks +gr.load( + name='deepseek:deepseek-vision', + src=ai_gradio.registry, + title='DeepSeek Vision', + description='Visual understanding with DeepSeek' +).launch() +``` + +### Text Generation with Anthropic Claude +Anthropic's Claude models are supported for text generation: + +```python +gr.load( + name='anthropic:claude-3-opus-20240229', + src=ai_gradio.registry, + title='Claude Chat', + description='Chat with Claude' +).launch() +``` + +### AI Video and Image Generation with LumaAI +LumaAI support allows you to generate videos and images from text prompts: + +```python +# For video generation +gr.load( + name='lumaai:dream-machine', + src=ai_gradio.registry, + title='LumaAI Video Generation' +).launch() + +# For image generation +gr.load( + name='lumaai:photon-1', + src=ai_gradio.registry, + title='LumaAI Image Generation' +).launch() +``` + +### Text Generation with Hyperbolic +Hyperbolic models support various LLMs including DeepSeek, LLaMA, and Qwen: + +```python +# Using DeepSeek V3 +gr.load( + name='hyperbolic:deepseek-ai/DeepSeek-V3', + src=ai_gradio.registry, + title='DeepSeek Chat', + description='Chat with DeepSeek V3' +).launch() + +# Using LLaMA 3.3 +gr.load( + name='hyperbolic:meta-llama/llama-3.3-70b', + src=ai_gradio.registry, + title='LLaMA Chat', + description='Chat with LLaMA 3.3' +).launch() + +# Using Qwen Coder +gr.load( + name='hyperbolic:Qwen/qwen2.5-coder-32b', + src=ai_gradio.registry, + title='Qwen Coder', + description='Get coding help from Qwen' +).launch() +``` + +### AI Agent Teams with CrewAI +CrewAI support allows you to create teams of AI agents that work together to solve complex tasks. Enable it by using the CrewAI provider: + +```python +gr.load( + name='crewai:gpt-4-turbo', + src=ai_gradio.registry, + title='AI Team Chat', + description='Chat with a team of specialized AI agents' +).launch() +``` + +### CrewAI Types +The CrewAI integration supports different specialized agent teams: + +- `support`: A team of support agents that help answer questions, including: + - Senior Support Representative + - Support Quality Assurance Specialist + +- `article`: A team of content creation agents, including: + - Content Planner + - Content Writer + - Editor + +You can specify the crew type when creating the interface: + +```python +gr.load( + name='crewai:gpt-4-turbo', + src=ai_gradio.registry, + crew_type='article', # or 'support' + title='AI Writing Team', + description='Create articles with a team of AI agents' +).launch() +``` + +When using the `support` crew type, you can provide a documentation URL that the agents will reference when answering questions. The interface will automatically show a URL input field. + +### Provider Selection + +When loading a model, you can specify the provider explicitly using the format `provider:model_name`. +```python +# Explicit provider +gr.load( + name='gemini:gemini-pro', + src=ai_gradio.registry +).launch() +``` + +### Customization + +You can customize the interface by adding examples, changing the title, or adding a description: + +```python +gr.load( + name='gpt-4-turbo', + src=ai_gradio.registry, + title='Custom AI Chat', + description='Chat with an AI assistant', + examples=[ + "Explain quantum computing to a 5-year old", + "What's the difference between machine learning and AI?" + ] +).launch() +``` + +### Composition + +You can combine multiple models in a single interface using Gradio's Blocks: + +```python +import gradio as gr +import ai_gradio + +with gr.Blocks() as demo: + with gr.Tab("GPT-4"): + gr.load('gpt-4-turbo', src=ai_gradio.registry) + with gr.Tab("Gemini"): + gr.load('gemini-pro', src=ai_gradio.registry) + with gr.Tab("Claude"): + gr.load('anthropic:claude-3-opus-20240229', src=ai_gradio.registry) + with gr.Tab("LumaAI"): + gr.load('lumaai:dream-machine', src=ai_gradio.registry) + with gr.Tab("CrewAI"): + gr.load('crewai:gpt-4-turbo', src=ai_gradio.registry) + with gr.Tab("Grok"): + gr.load('xai:grok-beta', src=ai_gradio.registry) + +demo.launch() +``` + +## Supported Models + +### OpenAI Models +- gpt-4-turbo +- gpt-4 +- gpt-3.5-turbo + +### Gemini Models +- gemini-pro +- gemini-pro-vision +- gemini-2.0-flash-exp + +### Anthropic Models +- claude-3-opus-20240229 +- claude-3-sonnet-20240229 +- claude-3-haiku-20240307 +- claude-2.1 +- claude-2.0 +- claude-instant-1.2 + +### LumaAI Models +- dream-machine (video generation) +- photon-1 (image generation) +- photon-flash-1 (fast image generation) + +### CrewAI Models +- crewai:gpt-4-turbo +- crewai:gpt-4 +- crewai:gpt-3.5-turbo + +### XAI Models +- grok-beta +- grok-vision-beta + +### Cohere Models +- command +- command-light +- command-nightly +- command-r + +### SambaNova Models +- llama2-70b-chat +- llama2-13b-chat +- llama2-7b-chat +- mixtral-8x7b-chat +- mistral-7b-chat + +### Fireworks Models +- whisper-v3 +- whisper-v3-turbo +- f1-preview +- f1-mini + +### Together Models +- meta-llama/Llama-Vision-Free +- meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo +- meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo +- meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo +- meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo +- meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo +- meta-llama/Meta-Llama-3-8B-Instruct-Turbo +- meta-llama/Meta-Llama-3-70B-Instruct-Turbo +- meta-llama/Llama-3.2-3B-Instruct-Turbo +- meta-llama/Meta-Llama-3-8B-Instruct-Lite +- meta-llama/Meta-Llama-3-70B-Instruct-Lite + +### Qwen Models +- qwen-turbo-latest +- qwen-turbo +- qwen-plus +- qwen-max +- qwen1.5-110b-chat +- qwen1.5-72b-chat +- qwen1.5-32b-chat +- qwen1.5-14b-chat +- qwen1.5-7b-chat +- qwq-32b-preview +- qvq-72b-preview + +### Hyperbolic Models +- meta-llama/llama-3.3-70b +- Qwen/QwQ-32B-Preview +- Qwen/qwen2.5-coder-32b +- meta-llama/llama-3.2-3b +- Qwen/qwen2.5-72b +- deepseek/deepseek-v2.5 +- meta-llama/llama-3-70b +- hermes/hermes-3-70b +- meta-llama/llama-3.1-405b +- meta-llama/llama-3.1-70b +- meta-llama/llama-3.1-8b + +### DeepSeek Models +- deepseek-chat +- deepseek-coder +- deepseek-vision + +## Requirements + +- Python 3.10 or higher +- gradio >= 5.9.1 + +Additional dependencies are installed based on your chosen provider: +- OpenAI: `openai>=1.58.1` +- Gemini: `google-generativeai` +- CrewAI: `crewai>=0.1.0`, `langchain>=0.1.0`, `langchain-openai>=0.0.2`, `crewai-tools>=0.0.1` +- Anthropic: `anthropic>=1.0.0` +- LumaAI: `lumaai>=0.0.3` +- XAI: `xai>=0.1.0` +- Cohere: `cohere>=5.0.0` +- DeepSeek: `openai>=1.58.1` +- Hyperbolic: `openai>=1.58.1` + +### Fireworks: `openai>=1.58.1` +### Together: `openai>=1.58.1` +### Qwen: `openai>=1.58.1` +### Hyperbolic: `openai>=1.58.1` + +## Troubleshooting + +If you get a 401 authentication error, make sure your API key is properly set. You can set it manually in your Python session: + +```python +import os + +# For OpenAI +os.environ["OPENAI_API_KEY"] = "your-api-key" + +# For Gemini +os.environ["GEMINI_API_KEY"] = "your-api-key" + +# For Anthropic +os.environ["ANTHROPIC_API_KEY"] = "your-api-key" + +# For LumaAI +os.environ["LUMAAI_API_KEY"] = "your-api-key" + +# For XAI +os.environ["XAI_API_KEY"] = "your-api-key" + +# For Cohere +os.environ["COHERE_API_KEY"] = "your-api-key" + +# For SambaNova +os.environ["SAMBANOVA_API_KEY"] = "your-api-key" + +# Environment variables additions: +export FIREWORKS_API_KEY= +export TOGETHER_API_KEY= +export QWEN_API_KEY= +export HYPERBOLIC_API_KEY= + +# Additional troubleshooting environment variables: +os.environ["FIREWORKS_API_KEY"] = "your-api-key" +os.environ["TOGETHER_API_KEY"] = "your-api-key" +os.environ["QWEN_API_KEY"] = "your-api-key" +os.environ["HYPERBOLIC_API_KEY"] = "your-api-key" +os.environ["DEEPSEEK_API_KEY"] = "your-api-key" + +### No Providers Error +If you see an error about no providers being installed, make sure you've installed the package with the desired provider: + +```bash +# Install with OpenAI support +pip install 'ai-gradio[openai]' + +# Install with Gemini support +pip install 'ai-gradio[gemini]' + +# Install with CrewAI support +pip install 'ai-gradio[crewai]' + +# Install with Anthropic support +pip install 'ai-gradio[anthropic]' + +# Install with LumaAI support +pip install 'ai-gradio[lumaai]' + +# Install with XAI support +pip install 'ai-gradio[xai]' + +# Install with Cohere support +pip install 'ai-gradio[cohere]' + +# Install all providers +pip install 'ai-gradio[all]' +``` + +## Optional Dependencies + +For voice chat functionality: +- gradio-webrtc +- numba==0.60.0 +- pydub +- librosa +- websockets +- twilio +- gradio_webrtc[vad] +- numpy + +For video chat functionality: +- opencv-python +- Pillow + +## Examples + +### Basic Chat Interface +```python +import gradio as gr +import ai_gradio + +# Simple chat with GPT-4 +gr.load( + name='openai:gpt-4-turbo', + src=ai_gradio.registry, + title='GPT-4 Chat', + description='Chat with GPT-4' +).launch() +``` + +### Multi-Model Interface +```python +import gradio as gr +import ai_gradio + +with gr.Blocks() as demo: + gr.Markdown("# AI Model Hub") + + with gr.Tab("Text Models"): + with gr.Tab("GPT-4"): + gr.load('openai:gpt-4-turbo', src=ai_gradio.registry) + with gr.Tab("Claude"): + gr.load('anthropic:claude-3-opus-20240229', src=ai_gradio.registry) + with gr.Tab("DeepSeek"): + gr.load('deepseek:deepseek-chat', src=ai_gradio.registry) + + with gr.Tab("Vision Models"): + with gr.Tab("Gemini Vision"): + gr.load('gemini:gemini-pro-vision', src=ai_gradio.registry, enable_video=True) + with gr.Tab("LumaAI"): + gr.load('lumaai:dream-machine', src=ai_gradio.registry) + + with gr.Tab("Specialized"): + with gr.Tab("Code Assistant"): + gr.load('deepseek:deepseek-coder', src=ai_gradio.registry) + with gr.Tab("AI Team"): + gr.load('crewai:gpt-4-turbo', src=ai_gradio.registry, crew_type='article') + +demo.launch() +``` + +### Voice-Enabled Chat +```python +import gradio as gr +import ai_gradio + +# Enable voice chat with GPT-4 +gr.load( + name='openai:gpt-4-turbo', + src=ai_gradio.registry, + enable_voice=True, + title='Voice Chat', + description='Talk with GPT-4' +).launch() +``` + +### Custom Examples and Styling +```python +import gradio as gr +import ai_gradio + +# Chat interface with custom examples and CSS +gr.load( + name='gemini:gemini-pro', + src=ai_gradio.registry, + title='Gemini Pro Assistant', + description='Your AI research companion', + examples=[ + "Explain quantum entanglement", + "What are the main differences between RNA and DNA?", + "How does a neural network learn?" + ], + css=".gradio-container {background-color: #f0f8ff}" +).launch() +``` + +### AI Team for Content Creation +```python +import gradio as gr +import ai_gradio + +# CrewAI setup for article writing +gr.load( + name='crewai:gpt-4-turbo', + src=ai_gradio.registry, + crew_type='article', + title='AI Writing Team', + description='Collaborate with AI agents to create articles', + examples=[ + "Write a blog post about sustainable energy", + "Create a technical tutorial about Docker containers" + ] +).launch() +``` + +### Support Team with Documentation +```python +import gradio as gr +import ai_gradio + +# CrewAI support team with documentation reference +gr.load( + name='crewai:gpt-4-turbo', + src=ai_gradio.registry, + crew_type='support', + title='AI Support Team', + description='Get help from AI support agents', + documentation_url='https://docs.example.com' +).launch() +``` + + + +## Under + +- https://www.chatkore.com/ + + diff --git a/appkits/qpyapp/alembic.ini b/appkits/qpyapp/alembic.ini new file mode 100644 index 0000000..c10d4ca --- /dev/null +++ b/appkits/qpyapp/alembic.ini @@ -0,0 +1,116 @@ +# A generic, single database configuration. + +[alembic] +# path to migration scripts +script_location = alembic + +# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s +# Uncomment the line below if you want the files to be prepended with date and time +# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file +# for all available tokens +# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s + +# sys.path path, will be prepended to sys.path if present. +# defaults to the current working directory. +prepend_sys_path = . + +# timezone to use when rendering the date within the migration file +# as well as the filename. +# If specified, requires the python>=3.9 or backports.zoneinfo library. +# Any required deps can installed by adding `alembic[tz]` to the pip requirements +# string value is passed to ZoneInfo() +# leave blank for localtime +# timezone = + +# max length of characters to apply to the +# "slug" field +# truncate_slug_length = 40 + +# set to 'true' to run the environment during +# the 'revision' command, regardless of autogenerate +# revision_environment = false + +# set to 'true' to allow .pyc and .pyo files without +# a source .py file to be detected as revisions in the +# versions/ directory +# sourceless = false + +# version location specification; This defaults +# to alembic/versions. When using multiple version +# directories, initial revisions must be specified with --version-path. +# The path separator used here should be the separator specified by "version_path_separator" below. +# version_locations = %(here)s/bar:%(here)s/bat:alembic/versions + +# version path separator; As mentioned above, this is the character used to split +# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep. +# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas. +# Valid values for version_path_separator are: +# +# version_path_separator = : +# version_path_separator = ; +# version_path_separator = space +version_path_separator = os # Use os.pathsep. Default configuration used for new projects. + +# set to 'true' to search source files recursively +# in each "version_locations" directory +# new in Alembic version 1.10 +# recursive_version_locations = false + +# the output encoding used when revision files +# are written from script.py.mako +# output_encoding = utf-8 + +sqlalchemy.url = driver://user:pass@localhost/dbname + + +[post_write_hooks] +# post_write_hooks defines scripts or Python functions that are run +# on newly generated revision scripts. See the documentation for further +# detail and examples + +# format using "black" - use the console_scripts runner, against the "black" entrypoint +# hooks = black +# black.type = console_scripts +# black.entrypoint = black +# black.options = -l 79 REVISION_SCRIPT_FILENAME + +# lint with attempts to fix using "ruff" - use the exec runner, execute a binary +# hooks = ruff +# ruff.type = exec +# ruff.executable = %(here)s/.venv/bin/ruff +# ruff.options = --fix REVISION_SCRIPT_FILENAME + +# Logging configuration +[loggers] +keys = root,sqlalchemy,alembic + +[handlers] +keys = console + +[formatters] +keys = generic + +[logger_root] +level = WARN +handlers = console +qualname = + +[logger_sqlalchemy] +level = WARN +handlers = +qualname = sqlalchemy.engine + +[logger_alembic] +level = INFO +handlers = +qualname = alembic + +[handler_console] +class = StreamHandler +args = (sys.stderr,) +level = NOTSET +formatter = generic + +[formatter_generic] +format = %(levelname)-5.5s [%(name)s] %(message)s +datefmt = %H:%M:%S diff --git a/appkits/qpyapp/docs/How.md b/appkits/qpyapp/docs/How.md new file mode 100644 index 0000000..dfadaac --- /dev/null +++ b/appkits/qpyapp/docs/How.md @@ -0,0 +1,35 @@ +# How + +## How to Register a Service Into Container + +Service is a class with different business methods, +or implement a protocol. + +How to register: + +```python +class TestSpellContainer: + container = ServiceContainer() + + def test_register_spell(self): + self.container.register(invoker_service) + print(self.container) + result = self.container.get_spell(invoker_service.HttpInvokerService.invoke.__qualname__) + print(result("request")) +``` + +## How to Invoke Service Method through Container + +```python +result = self.container.get_spell(invoker_service.HttpInvokerService.invoke.__qualname__) +print(result("request")) +``` + +## How to init different Service with Parameters +Everything could be decorated, think about to wire thing together. + +- Providers + - Different Providers to inject + - Init With Providers +- Services + diff --git a/appkits/qpyapp/docs/ai/warp-ai.md b/appkits/qpyapp/docs/ai/warp-ai.md new file mode 100644 index 0000000..541d673 --- /dev/null +++ b/appkits/qpyapp/docs/ai/warp-ai.md @@ -0,0 +1,146 @@ +## Warp AI Transcript (05/13/23 12:24 AM) + +Prompt: python get all class members in module + +Warp AI: To get all class members in a Python module, you can use the `dir()` function. Here's an example: + +```python +import {{module_name}} + +class_members = [member for member in dir({{module_name}}) if isinstance(getattr({{module_name}}, member), type)] +``` + +This code imports the module specified by `module_name`, then uses a list comprehension to iterate over all members of the module returned by `dir()`. For each member, it checks if it is an instance of a class using the `isinstance()` function and `getattr()` built-in function. Finally, it returns a list of all class members in the module. + +Prompt: and exclude abstract class + +Warp AI: To exclude abstract classes from the list of class members, you can use the `inspect` module to check if a class is abstract. Here's an updated example: + +```python +import {{module_name}} +import inspect + +class_members = [member for member in dir({{module_name}}) if isinstance(getattr({{module_name}}, member), type) and not inspect.isabstract(getattr({{module_name}}, member))] +``` + +This code is similar to the previous example, but it adds an additional check to exclude abstract classes. The `inspect.isabstract()` function is used to check if a class is abstract, and the `not` operator is used to exclude abstract classes from the list of class members. + +Prompt: + +Warp AI: Is there anything else you would like to know about computer programming? + +Prompt: what's the difference between inspect.isfunction and inspect.ismethod + +Warp AI: `inspect.isfunction()` and `inspect.ismethod()` are both functions in the `inspect` module that can be used to determine if an object is a function or a method. However, there is an important difference between the two: + +- `inspect.isfunction()` returns `True` if the object is a function, but `False` if the object is a method or a class method. +- `inspect.ismethod()` returns `True` if the object is a method or a class method, but `False` if the object is a function. + +Here's an example to illustrate the difference: + +```python +import inspect + +class MyClass: + def my_method(self): + pass + +def my_function(): + pass + +my_object = MyClass() + +print(inspect.isfunction(my_function)) # True +print(inspect.isfunction(my_object.my_method)) # False +print(inspect.ismethod(my_object.my_method)) # True +print(inspect.ismethod(my_function)) # False +``` + +In this example, `my_function()` is a function, so `inspect.isfunction()` returns `True`. `my_object.my_method()` is a method, so `inspect.isfunction()` returns `False`, but `inspect.ismethod()` returns `True`. + +Prompt: what is ismethoddescriptor? + +Warp AI: `ismethoddescriptor()` is a function in the `inspect` module that can be used to determine if an object is a method descriptor. A method descriptor is a special type of object in Python that is used to define methods on classes. + +A method descriptor is an object that defines the behavior of a method when it is accessed through an instance of a class. For example, the `property` built-in function in Python is a method descriptor that allows you to define getter and setter methods for a class property. + +Here's an example to illustrate the use of `ismethoddescriptor()`: + +```python +import inspect + +class MyClass: + def my_method(self): + pass + + @property + def my_property(self): + return 42 + +my_object = MyClass() + +print(inspect.ismethoddescriptor(MyClass.my_method)) # False +print(inspect.ismethoddescriptor(my_object.my_method)) # True +print(inspect.ismethoddescriptor(MyClass.my_property)) # True +print(inspect.ismethoddescriptor(my_object.my_property)) # False +``` + +In this example, `MyClass.my_method` is a regular method, so `inspect.ismethoddescriptor()` returns `False`. `my_object.my_method` is an instance method, which is implemented as a method descriptor, so `inspect.ismethoddescriptor()` returns `True`. `MyClass.my_property` is a property, which is also implemented as a method descriptor, so `inspect.ismethoddescriptor()` returns `True`. However, `my_object.my_property` is not a method descriptor, because it is a regular attribute that returns a value, not a method. + +Prompt: TypeError: AbsSpellContainer.__init_subclass__() takes no keyword arguments + +Warp AI: This error occurs when you try to pass keyword arguments to the `__init_subclass__()` method of a class that does not accept them. + +The `__init_subclass__()` method is a special method in Python that is called when a subclass is created. It can be used to customize the behavior of the subclass or to perform additional setup. + +Here's an example of how to define a class with an `__init_subclass__()` method: + +```python +class MyBaseClass: + def __init_subclass__(cls, **kwargs): + super().__init_subclass__(**kwargs) + print(f"Creating subclass of {cls.__name__}") + +class MySubClass(MyBaseClass): + pass + +# Output: Creating subclass of MySubClass +``` + +In this example, `MyBaseClass` defines an `__init_subclass__()` method that prints a message when a subclass is created. `MySubClass` is a subclass of `MyBaseClass`, so when it is created, the `__init_subclass__()` method of `MyBaseClass` is called. + +If you try to pass keyword arguments to the `__init_subclass__()` method of a class that does not accept them, you will get a `TypeError`. To fix this error, you can remove the keyword arguments from the call to `__init_subclass__()`, or modify the class to accept them. + +Prompt: python __new__ 初始化 + +Warp AI: In Python, `__new__()` is a special method that is called when an object is created. It is responsible for creating and returning a new instance of the class. + +The `__new__()` method is called before the `__init__()` method, which is responsible for initializing the object. The `__new__()` method takes the class as its first argument, followed by any additional arguments that were passed to the class constructor. + +Here's an example of how to define a class with a `__new__()` method: + +```python +class MyClass: + def __new__(cls, *args, **kwargs): + print("Creating new instance of MyClass") + instance = super().__new__(cls) + return instance + + def __init__(self, *args, **kwargs): + print("Initializing instance of MyClass") + +my_object = MyClass() +``` + +In this example, `MyClass` defines a `__new__()` method that prints a message when a new instance of the class is created. It then calls the `__new__()` method of the superclass to create the instance, and returns it. + +The `__init__()` method of `MyClass` is also defined, and prints a message when an instance of the class is initialized. + +When `MyClass()` is called to create a new instance, the `__new__()` method is called first, followed by the `__init__()` method. The output of the above code will be: + +``` +Creating new instance of MyClass +Initializing instance of MyClass +``` + +This shows that the `__new__()` method is responsible for creating the instance, and the `__init__()` method is responsible for initializing it. \ No newline at end of file diff --git a/appkits/qpyapp/docs/core/multimethods.py b/appkits/qpyapp/docs/core/multimethods.py new file mode 100644 index 0000000..96bb21c --- /dev/null +++ b/appkits/qpyapp/docs/core/multimethods.py @@ -0,0 +1,445 @@ +import abc +import collections +import contextlib +import functools +import inspect +import itertools +import types +from typing import Any, Callable, Dict, Iterable, Iterator, Literal, Mapping, Optional, Tuple +from typing import TypeVar, Union, get_type_hints, no_type_check, overload as tp_overload + +__version__ = '1.9.1' +Empty = types.new_class('*') + + +def get_types(func: Callable) -> tuple: + """Return evaluated type hints for positional required parameters in order.""" + if not hasattr(func, '__annotations__'): + return () + type_hints = get_type_hints(func) + positionals = {inspect.Parameter.POSITIONAL_ONLY, inspect.Parameter.POSITIONAL_OR_KEYWORD} + names = [ + param.name + for param in inspect.signature(func).parameters.values() + if param.default is param.empty and param.kind in positionals + ] # missing annotations are padded with `object`, but trailing objects are unnecessary + head = itertools.dropwhile(lambda name: name not in type_hints, reversed(names)) + return tuple(type_hints.get(name, object) for name in head)[::-1] + + +class DispatchError(TypeError): + pass + + +class subtype(type): + """A normalized generic type which checks subscripts. + + Transforms a generic alias into a concrete type which supports `issubclass`. + If the type ends up being equivalent to a builtin, the builtin is returned. + Includes an adaptive replacement for `type` which will iterate args as needed for subscripts. + """ + + __origin__: type + __args__: tuple + + def __new__(cls, tp, *args): + if tp is Any: + return object + if hasattr(tp, '__supertype__'): # isinstance(..., NewType) only supported >=3.10 + tp = tp.__supertype__ + if isinstance(tp, TypeVar): + if not tp.__constraints__: + return object + tp = Union[tp.__constraints__] + origin = getattr(tp, '__origin__', tp) + if hasattr(types, 'UnionType') and isinstance(tp, types.UnionType): + origin = Union # `|` syntax added in 3.10 + args = tuple(map(cls, getattr(tp, '__args__', args))) + if set(args) <= {object} and not (origin is tuple and args): + return origin + bases = (origin,) if type(origin) is type else () + if origin is Literal: + bases = (subtype(Union[tuple(map(type, args))]),) + if origin is Callable.__origin__ and args[:1] == (...,): + args = args[1:] + namespace = {'__origin__': origin, '__args__': args} + return type.__new__(cls, str(tp), bases, namespace) + + def __init__(self, tp, *args): + if isinstance(self.__origin__, abc.ABCMeta): + self.__origin__.register(self) + + def _getstate(self) -> tuple: + return self.__origin__, self.__args__ + + def __eq__(self, other) -> bool: + return hasattr(other, '__origin__') and self._getstate() == subtype._getstate(other) + + def __hash__(self) -> int: + return hash(self._getstate()) + + def __subclasscheck__(self, subclass: type) -> bool: + origin = getattr(subclass, '__origin__', subclass) + args = getattr(subclass, '__args__', ()) + if origin is Union: + return all(issubclass(cls, self) for cls in args) + if self.__origin__ in (Union, type): + return inspect.isclass(subclass) and issubclass(subclass, self.__args__) + if Literal in (origin, self.__origin__): + return (origin is self.__origin__ is Literal) and set(args) <= set(self.__args__) + if self.__origin__ is Callable.__origin__: # type: ignore + return ( + origin is Callable.__origin__ # type: ignore + and signature(self.__args__[-1:]) <= signature(args[-1:]) # covariant return + and signature(args[:-1]) <= signature(self.__args__[:-1]) # contravariant args + ) + nargs = len(self.__args__) + if self.__origin__ is tuple: + if self.__args__[-1:] == (...,): + if args == (Empty,): + return issubclass(origin, self.__origin__) + nargs -= 1 + args = args[:nargs] + elif args == (Empty,): + return issubclass(origin, self.__origin__) + return ( # check args first to avoid a recursion error in ABCMeta + len(args) == nargs + and issubclass(origin, self.__origin__) + and all(map(issubclass, args, self.__args__)) + ) + + def __instancecheck__(self, instance): + return issubclass(self.get_type(instance), self) + + @classmethod + def subcheck(cls, tp: type) -> bool: + """Return whether type requires checking subscripts using `get_type`.""" + return isinstance(tp, cls) and ( + tp.__origin__ is not Union or any(map(cls.subcheck, tp.__args__)) + ) + + @no_type_check + def get_type(self, arg) -> type: + """An adaptive version of `type`, which checks subscripts as needed. + + This is complicated by needing to potentially iterate an argument, but only if required + because the origin type matches and has subscripts. The challenge is making the type + checker as specific as needed, but with as minimal introspection as possible, and yet still + performant. The strategy is to end the recursive checking at the first failure, and only + check subsequent types which themselves are subclasses. This way `get_type` is only called + repeatedly if it may increase the type specificity. + """ + if not isinstance(self, subtype): # also called as a staticmethod + return type(arg) + if hasattr(arg, '__orig_class__'): # user-defined generic type + return subtype(arg.__orig_class__) + if self.__origin__ is type: # a class argument is expected + return arg + if self.__origin__ is Literal: + if any(arg == param and type(arg) is type(param) for param in self.__args__): + return subtype(Literal, arg) + return type(arg) + if self.__origin__ is Union: # find the most specific match + tps = (subtype.get_type(tp_arg, arg) for tp_arg in self.__args__) + tps = {tp for tp, tp_arg in zip(tps, self.__args__) if issubclass(tp, tp_arg)} + if not tps: + return type(arg) + return functools.reduce(lambda x, y: x if issubclass(x, y) else y, tps) + if self.__origin__ is Callable.__origin__ and isinstance(arg, Callable): + return subtype(Callable.__origin__, *get_type_hints(arg).values()) + if not isinstance(arg, self.__origin__): # no need to check subscripts + return type(arg) + if isinstance(arg, Iterator) or not isinstance(arg, Iterable): + return type(arg) + if issubclass(self, tuple) and self.__args__[-1:] != (...,): # check all values + if len(arg) != len(self.__args__): + return type(arg) + args = arg + elif issubclass(self, Mapping): # check first item + args = next(iter(arg.items()), ()) + else: # check first value + args = itertools.islice(arg, 1) + subscripts = list(map(subtype.get_type, self.__args__, args)) or [Empty] + try: + return subtype(type(arg), *subscripts) + except TypeError: # not an acceptable base type + return subtype(self.__origin__, *subscripts) + + +def distance(cls, subclass: type) -> int: + """Return estimated distance between classes for tie-breaking.""" + if getattr(cls, '__origin__', None) is Union: + return min(distance(arg, subclass) for arg in cls.__args__) + mro = type.mro(subclass) + return mro.index(cls if cls in mro else object) + + +class signature(tuple): + """A tuple of types that supports partial ordering.""" + + parents: set + sig: inspect.Signature + + def __new__(cls, types: Iterable): + return tuple.__new__(cls, map(subtype, types)) + + def __le__(self, other: tuple) -> bool: + return len(self) <= len(other) and all(map(issubclass, other, self)) + + def __lt__(self, other: tuple) -> bool: + return self != other and self <= other + + def __sub__(self, other: tuple) -> tuple: + """Return relative distances, assuming self >= other.""" + return tuple(map(distance, other, self)) + + def __rsub__(self, other: tuple) -> tuple: + """Return relative distances, assuming self <= other.""" + return tuple(map(distance, self, other)) + + def callable(self, *types) -> bool: + """Check positional arity of associated function signature.""" + try: + return not hasattr(self, 'sig') or bool(self.sig.bind_partial(*types)) + except TypeError: + return False + + +REGISTERED = TypeVar("REGISTERED", bound=Callable[..., Any]) + + +class multimethod(dict): + """A callable directed acyclic graph of methods.""" + + pending: set + type_checkers: list + + def __new__(cls, func): + homonym = inspect.currentframe().f_back.f_locals.get(func.__name__) + if isinstance(homonym, multimethod): + return homonym + + self = functools.update_wrapper(dict.__new__(cls), func) + self.pending = set() + self.type_checkers = [] # defaults to builtin `type` + return self + + def __init__(self, func: Callable): + try: + self[get_types(func)] = func + except (NameError, AttributeError): + self.pending.add(func) + + @tp_overload + def register(self, __func: REGISTERED) -> REGISTERED: + ... # pragma: no cover + + @tp_overload + def register(self, *args: type) -> Callable[[REGISTERED], REGISTERED]: + ... # pragma: no cover + + def register(self, *args) -> Callable: + """Decorator for registering a function. + + Optionally call with types to return a decorator for unannotated functions. + """ + if len(args) == 1 and hasattr(args[0], '__annotations__'): + multimethod.__init__(self, *args) + return self if self.__name__ == args[0].__name__ else args[0] # type: ignore + return lambda func: self.__setitem__(args, func) or func + + def __get__(self, instance, owner): + return self if instance is None else types.MethodType(self, instance) + + def parents(self, types: tuple) -> set: + """Find immediate parents of potential key.""" + parents = {key for key in list(self) if isinstance(key, signature) and key < types} + return parents - {ancestor for parent in parents for ancestor in parent.parents} + + def clean(self): + """Empty the cache.""" + for key in list(self): + if not isinstance(key, signature): + super().__delitem__(key) + + def copy(self): + """Return a new multimethod with the same methods.""" + other = dict.__new__(type(self)) + other.update(self) + return other + + def __setitem__(self, types: tuple, func: Callable): + self.clean() + types = signature(types) + parents = types.parents = self.parents(types) + with contextlib.suppress(ValueError): + types.sig = inspect.signature(func) + self.pop(types, None) # ensure key is overwritten + for key in self: + if types < key and (not parents or parents & key.parents): + key.parents -= parents + key.parents.add(types) + self.type_checkers += [type] * (len(types) - len(self.type_checkers)) + for index, (cls, type_checker) in enumerate(zip(types, self.type_checkers)): + if subtype.subcheck(cls): # switch to slower generic type checker + if type_checker is not type: + tp = type_checker.__self__ + args = {cls} | set(tp.__args__) if tp.__origin__ is Union else {cls, tp} + cls = subtype(Union[tuple(args)]) + self.type_checkers[index] = cls.get_type + super().__setitem__(types, func) + self.__doc__ = self.docstring + + def __delitem__(self, types: tuple): + self.clean() + super().__delitem__(types) + for key in self: + if types in key.parents: + key.parents = self.parents(key) + self.__doc__ = self.docstring + + def __missing__(self, types: tuple) -> Callable: + """Find and cache the next applicable method of given types.""" + self.evaluate() + if types in self: + return self[types] + groups = collections.defaultdict(list) + for key in self.parents(types): + if key.callable(*types): + groups[types - key].append(key) + keys = groups[min(groups)] if groups else [] + funcs = {self[key] for key in keys} + if len(funcs) == 1: + return self.setdefault(types, *funcs) # type: ignore + msg = f"{self.__name__}: {len(keys)} methods found" # type: ignore + raise DispatchError(msg, types, keys) + + def __call__(self, *args, **kwargs): + """Resolve and dispatch to best method.""" + if self.pending: # check first to avoid function call + self.evaluate() + func = self[tuple(func(arg) for func, arg in zip(self.type_checkers, args))] + try: + return func(*args, **kwargs) + except TypeError as ex: + raise DispatchError(f"Function {func.__code__}") from ex + + def evaluate(self): + """Evaluate any pending forward references.""" + while self.pending: + func = self.pending.pop() + self[get_types(func)] = func + + @property + def docstring(self): + """a descriptive docstring of all registered functions""" + docs = [] + for key, func in self.items(): + sig = getattr(key, 'sig', '') + if func.__doc__: + docs.append(f'{func.__name__}{sig}\n {func.__doc__}') + return '\n\n'.join(docs) + + +RETURN = TypeVar("RETURN") + + +class multidispatch(multimethod, Dict[Tuple[type, ...], Callable[..., RETURN]]): + """Wrapper for compatibility with `functools.singledispatch`. + + Only uses the [register][multimethod.multimethod.register] method instead of namespace lookup. + Allows dispatching on keyword arguments based on the first function signature. + """ + + signature: Optional[inspect.Signature] + + def __new__(cls, func: Callable[..., RETURN]) -> "multidispatch[RETURN]": + return functools.update_wrapper(dict.__new__(cls), func) + + def __init__(self, func: Callable[..., RETURN]) -> None: + self.pending = set() + self.type_checkers = [] + try: + self.signature = inspect.signature(func) + except ValueError: + self.signature = None + super().__init__(func) + + def __get__(self, instance, owner) -> Callable[..., RETURN]: + return self if instance is None else types.MethodType(self, instance) # type: ignore + + def __call__(self, *args: Any, **kwargs: Any) -> RETURN: + """Resolve and dispatch to best method.""" + params = self.signature.bind(*args, **kwargs).args if (kwargs and self.signature) else args + func = self[tuple(func(arg) for func, arg in zip(self.type_checkers, params))] + return func(*args, **kwargs) + + +def isa(*types: type) -> Callable: + """Partially bound `isinstance`.""" + types = tuple(map(subtype, types)) + return lambda arg: isinstance(arg, types) + + +class overload(dict): + """Ordered functions which dispatch based on their annotated predicates.""" + + pending: set + __get__ = multimethod.__get__ + + def __new__(cls, func): + namespace = inspect.currentframe().f_back.f_locals + self = functools.update_wrapper(super().__new__(cls), func) + self.pending = set() + return namespace.get(func.__name__, self) + + def __init__(self, func: Callable): + try: + sig = self.signature(func) + except (NameError, AttributeError): + self.pending.add(func) + else: + self[sig] = func + + @classmethod + def signature(cls, func: Callable) -> inspect.Signature: + for name, value in get_type_hints(func).items(): + if not callable(value) or isinstance(value, type) or hasattr(value, '__origin__'): + func.__annotations__[name] = isa(value) + return inspect.signature(func) + + def __call__(self, *args, **kwargs): + """Dispatch to first matching function.""" + while self.pending: + func = self.pending.pop() + self[self.signature(func)] = func + for sig in reversed(self): + try: + arguments = sig.bind(*args, **kwargs).arguments + except TypeError: + continue + if all( + param.annotation is param.empty or param.annotation(arguments[name]) + for name, param in sig.parameters.items() + if name in arguments + ): + return self[sig](*args, **kwargs) + raise DispatchError("No matching functions found") + + def register(self, func: Callable) -> Callable: + """Decorator for registering a function.""" + self.__init__(func) # type: ignore + return self if self.__name__ == func.__name__ else func # type: ignore + + +class multimeta(type): + """Convert all callables in namespace to multimethods.""" + + class __prepare__(dict): + def __init__(*args): + pass + + def __setitem__(self, key, value): + if callable(value): + value = getattr(self.get(key), 'register', multimethod)(value) + super().__setitem__(key, value) diff --git a/appkits/qpyapp/docs/core/registeries.py b/appkits/qpyapp/docs/core/registeries.py new file mode 100644 index 0000000..ee5d9ef --- /dev/null +++ b/appkits/qpyapp/docs/core/registeries.py @@ -0,0 +1,247 @@ +from typing import Sequence, Any, Dict, Tuple, Callable, Optional, TypeVar, Union +from typing import List +import inspect +import importlib.metadata + +try: # Python 3.10 + from importlib.metadata import SelectableGroups # type: ignore +except ImportError: + + class _NotImplemented: + pass + + + SelectableGroups = _NotImplemented # type: ignore + +# Only ever call this once for performance reasons +AVAILABLE_ENTRY_POINTS = importlib.metadata.entry_points() # type: ignore + +# This is where functions will be registered +REGISTRY: Dict[Tuple[str, ...], Any] = {} + +InFunc = TypeVar("InFunc") + + +def create(*namespace: str, entry_points: bool = False) -> "Registry": + """Create a new registry. + + *namespace (str): The namespace, e.g. "spacy" or "spacy", "architectures". + entry_points (bool): Accept registered functions from entry points. + RETURNS (Registry): The Registry object. + """ + if check_exists(*namespace): + raise RegistryError(f"Namespace already exists: {namespace}") + return Registry(namespace, entry_points=entry_points) + + +class Registry(object): + def __init__(self, namespace: Sequence[str], entry_points: bool = False) -> None: + """Initialize a new registry. + + namespace (Sequence[str]): The namespace. + entry_points (bool): Whether to also check for entry points. + """ + self.namespace = namespace + self.entry_point_namespace = "_".join(namespace) + self.entry_points = entry_points + + def __contains__(self, name: str) -> bool: + """Check whether a name is in the registry. + + name (str): The name to check. + RETURNS (bool): Whether the name is in the registry. + """ + namespace = tuple(list(self.namespace) + [name]) + has_entry_point = self.entry_points and self.get_entry_point(name) + return has_entry_point or namespace in REGISTRY + + def __call__( + self, name: str, func: Optional[Any] = None + ) -> Callable[[InFunc], InFunc]: + """Register a function for a given namespace. Same as Registry.register. + + name (str): The name to register under the namespace. + func (Any): Optional function to register (if not used as decorator). + RETURNS (Callable): The decorator. + """ + return self.register(name, func=func) + + def register( + self, name: str, *, func: Optional[Any] = None + ) -> Callable[[InFunc], InFunc]: + """Register a function for a given namespace. + + name (str): The name to register under the namespace. + func (Any): Optional function to register (if not used as decorator). + RETURNS (Callable): The decorator. + """ + + def do_registration(func): + _set(list(self.namespace) + [name], func) + return func + + if func is not None: + return do_registration(func) + return do_registration + + def get(self, name: str) -> Any: + """Get the registered function for a given name. + + name (str): The name. + RETURNS (Any): The registered function. + """ + if self.entry_points: + from_entry_point = self.get_entry_point(name) + if from_entry_point: + return from_entry_point + namespace = list(self.namespace) + [name] + if not check_exists(*namespace): + current_namespace = " -> ".join(self.namespace) + available = ", ".join(sorted(self.get_all().keys())) or "none" + raise RegistryError( + f"Cant't find '{name}' in registry {current_namespace}. Available names: {available}" + ) + return _get(namespace) + + def get_all(self) -> Dict[str, Any]: + """Get all functions belonging to this registry's namespace. + + RETURNS (Dict[str, Any]): The functions, keyed by name. + """ + global REGISTRY + result = {} + if self.entry_points: + result.update(self.get_entry_points()) + # Create a copy of the global registry in case it gets modified during iteration. + for keys, value in REGISTRY.copy().items(): + if len(self.namespace) == len(keys) - 1 and keys[:-1] == self.namespace: + result[keys[-1]] = value + return result + + def get_entry_points(self) -> Dict[str, Any]: + """Get registered entry points from other packages for this namespace. + + RETURNS (Dict[str, Any]): Entry points, keyed by name. + """ + result = {} + for entry_point in self._get_entry_points(): + result[entry_point.name] = entry_point.load() + return result + + def get_entry_point(self, name: str, default: Optional[Any] = None) -> Any: + """Check if registered entry point is available for a given name in the + namespace and load it. Otherwise, return the default value. + + name (str): Name of entry point to load. + default (Any): The default value to return. + RETURNS (Any): The loaded entry point or the default value. + """ + for entry_point in self._get_entry_points(): + if entry_point.name == name: + return entry_point.load() + return default + + def _get_entry_points(self) -> List[importlib.metadata.EntryPoint]: + if isinstance(AVAILABLE_ENTRY_POINTS, SelectableGroups): + return AVAILABLE_ENTRY_POINTS.select(group=self.entry_point_namespace) + else: # dict + return AVAILABLE_ENTRY_POINTS.get(self.entry_point_namespace, []) + + def find(self, name: str) -> Dict[str, Optional[Union[str, int]]]: + """Find the information about a registered function, including the + module and path to the file it's defined in, the line number and the + docstring, if available. + + name (str): Name of the registered function. + RETURNS (Dict[str, Optional[Union[str, int]]]): The function info. + """ + func = self.get(name) + module = inspect.getmodule(func) + # These calls will fail for Cython modules so we need to work around them + line_no: Optional[int] = None + file_name: Optional[str] = None + try: + _, line_no = inspect.getsourcelines(func) + file_name = inspect.getfile(func) + except (TypeError, ValueError): + pass + docstring = inspect.getdoc(func) + return { + "module": module.__name__ if module else None, + "file": file_name, + "line_no": line_no, + "docstring": inspect.cleandoc(docstring) if docstring else None, + } + + +def check_exists(*namespace: str) -> bool: + """Check if a namespace exists. + + *namespace (str): The namespace. + RETURNS (bool): Whether the namespace exists. + """ + return namespace in REGISTRY + + +def _get(namespace: Sequence[str]) -> Any: + """Get the value for a given namespace. + + namespace (Sequence[str]): The namespace. + RETURNS (Any): The value for the namespace. + """ + global REGISTRY + if not all(isinstance(name, str) for name in namespace): + raise ValueError( + f"Invalid namespace. Expected tuple of strings, but got: {namespace}" + ) + namespace = tuple(namespace) + if namespace not in REGISTRY: + raise RegistryError(f"Can't get namespace {namespace} (not in registry)") + return REGISTRY[namespace] + + +def _get_all(namespace: Sequence[str]) -> Dict[Tuple[str, ...], Any]: + """Get all matches for a given namespace, e.g. ("a", "b", "c") and + ("a", "b") for namespace ("a", "b"). + + namespace (Sequence[str]): The namespace. + RETURNS (Dict[Tuple[str], Any]): All entries for the namespace, keyed + by their full namespaces. + """ + global REGISTRY + result = {} + for keys, value in REGISTRY.copy().items(): + if len(namespace) <= len(keys) and all( + namespace[i] == keys[i] for i in range(len(namespace)) + ): + result[keys] = value + return result + + +def _set(namespace: Sequence[str], func: Any) -> None: + """Set a value for a given namespace. + + namespace (Sequence[str]): The namespace. + func (Callable): The value to set. + """ + global REGISTRY + REGISTRY[tuple(namespace)] = func + + +def _remove(namespace: Sequence[str]) -> Any: + """Remove a value for a given namespace. + + namespace (Sequence[str]): The namespace. + RETURNS (Any): The removed value. + """ + global REGISTRY + namespace = tuple(namespace) + if namespace not in REGISTRY: + raise RegistryError(f"Can't get namespace {namespace} (not in registry)") + removed = REGISTRY[namespace] + del REGISTRY[namespace] + return removed + + +class RegistryError(ValueError): + pass diff --git a/appkits/qpyapp/docs/core/test_multimethods.py b/appkits/qpyapp/docs/core/test_multimethods.py new file mode 100644 index 0000000..00de600 --- /dev/null +++ b/appkits/qpyapp/docs/core/test_multimethods.py @@ -0,0 +1,301 @@ +import enum +import pytest +from typing import Any, AnyStr, Dict, Iterable, Iterator, List, NewType, Tuple, TypeVar, Union +from spell.core.multimethods import DispatchError, Empty, multimeta, multimethod, signature, subtype + + +# string join +class tree(list): + def walk(self): + for value in self: + if isinstance(value, type(self)): + yield from value.walk() + else: + yield value + + +class bracket(tuple): + def __new__(cls, left, right): + return tuple.__new__(cls, (left, right)) + + +@multimethod +def join(seq, sep): + return sep.join(map(str, seq)) + + +@multimethod +def join(seq: object, sep: bracket): + return sep[0] + join(seq, sep[1] + sep[0]) + sep[1] + + +@multimethod +def join(seq: tree, sep: object): + return join(seq.walk(), sep) + + +def test_join(): + sep = '<>' + seq = [0, tree([1]), 2] + assert list(tree(seq).walk()) == list(range(3)) + assert join(seq, sep) == '0<>[1]<>2' + assert join(tree(seq), sep) == '0<>1<>2' + assert join(seq, bracket(*sep)) == '<0><[1]><2>' + assert join(tree(seq), bracket(*sep)) == '<0><1><2>' + + +# type hints +def test_subtype(): + assert len({subtype(List[int]), subtype(List[int])}) == 1 + assert len({subtype(List[bool]), subtype(List[int])}) == 2 + assert issubclass(int, subtype(Union[int, float])) + assert issubclass(Union[float, int], subtype(Union[int, float])) + assert issubclass(List[bool], subtype(List[int])) + assert not issubclass(Tuple[int], subtype(Tuple[int, float])) + assert issubclass(Iterable[bool], subtype(Iterable[int])) + assert issubclass(subtype(Iterable[int]), subtype(Iterable)) + assert issubclass(subtype(List[int]), subtype(Iterable)) + + assert subtype.get_type(object, 0) is int + assert not isinstance(subtype.get_type(object, iter('')), subtype) + assert subtype.get_type(object, ()) is tuple + tp = subtype(tuple, int, float) + assert tp.get_type((0, 0.0)) == tp + assert subtype.get_type(object, []) is list + tp = subtype(dict, str, int) + assert tp.get_type({' ': 0}) == tp + tp = subtype(list, int) + assert tp.get_type([0, 0.0]) == tp + assert subtype.get_type(object, {}) is dict + it = iter('abc') + assert subtype(Iterator[str]).get_type(it) is type(it) + tp = subtype(Union, List[int], List[List[int]]) + assert tp.get_type('') is str + assert tp.get_type([]) == subtype(list, Empty) + assert tp.get_type([0]) == List[int] + assert tp.get_type([[]]) == List[subtype(list, Empty)] + assert tp.get_type([[0]]) == List[List[int]] + tp = subtype(Union, int, Iterable[int], list) + assert tp.get_type([0]) == List[int] + assert tp.get_type([]) == subtype(list, Empty) + + +def test_signature(): + assert signature([Any, List, NewType('', int)]) == (object, list, int) + assert signature([AnyStr]) == signature([Union[bytes, str]]) + assert signature([TypeVar('T')]) == signature([object]) + assert signature([int]) - signature([Union[int, float]]) == (0,) + assert signature([List]) <= (list,) + assert signature([list]) <= signature([List]) + assert signature([list]) <= signature([List[int]]) + assert signature([List[int]]) - signature([list]) + assert signature([list]) - signature([List[int]]) == (1,) + + # with metaclasses: + assert signature([type]) - (type,) == (0,) + assert (type,) - signature([object]) == (1,) + # using EnumMeta because it is a standard, stable, metaclass + assert signature([enum.EnumMeta]) - signature([object]) == (2,) + assert signature([Union[type, enum.EnumMeta]]) - signature([object]) == (1,) + + +def test_get_type(): + method = multimethod(lambda: None) + assert method.type_checkers == [] + + @method.register + def _(x: Union[int, type(None)]): + pass + + assert method.type_checkers == [type] + + @method.register + def _(x: List[int]): + pass + + (get_type,) = method.type_checkers + assert get_type([0]) == List[int] + assert get_type([0.0]) == List[float] + assert get_type((0,)) is tuple + method[int, float] = lambda x, y: None + assert method.type_checkers == [get_type, type] + + +class namespace: + pass + + +class cls: + @multimethod + def method(x, y: int, z=None) -> tuple: + return object, int + + @multimethod + def method(x: 'cls', y: 'List[float]'): + return type(x), list + + @multimethod + def dotted(x: 'namespace.cls'): + return type(x), float + + +def test_annotations(): + obj = cls() + assert obj.method([0.0]) == (cls, list) # run first to check exact match post-evaluation + assert obj.method(0) == (object, int) + assert cls.method(None, 0) == (object, int) + with pytest.raises(DispatchError): + cls.method(None, 0.0) + key = cls, subtype(List[float]) + cls.method.pending.add(cls.method.pop(key)) + assert cls.method[key] + + +# register out of order +@multimethod +def func(arg: bool): + return bool + + +@func.register +def _(arg: object): + return object + + +@func.register +def _(arg: int): + return int + + +@func.register +def _(arg: Union[List[int], Tuple[float], Dict[str, int]]): + return 'union' + + +def test_register(): + assert func(0.0) is object + assert func(0) is int + assert func(False) is bool + assert func([0]) == func((0.0,)) == func({'': 0}) == func({}) == 'union' + assert func([0.0]) == func((0.0, 1.0)) == object + + +# multimeta + + +def test_meta(): + class meta(metaclass=multimeta): + def method(self, x: str): + return 'STR' + + def method(self, x: int): + return 'INT' + + def normal(self, y): + return 'OBJECT' + + def rebind(self, x: str): + return 'INITIAL' + + rebind = 2 + + def rebind(self, x): + return 'REBOUND' + + assert isinstance(meta.method, multimethod) + assert isinstance(meta.normal, multimethod) + assert isinstance(meta.rebind, multimethod) + + m = meta() + + assert m.method('') == 'STR' + assert m.method(12) == 'INT' + assert m.normal('') == 'OBJECT' + assert m.rebind('') == 'REBOUND' + + +def test_ellipsis(): + @multimethod + def func(arg: Tuple[Tuple[int, int], ...]): + return arg + + tup = ((0, 1),) + assert func(tup) == tup + tup = ((0, 1), (2, 3)) + assert func(tup) == tup + assert func(()) == () + with pytest.raises(DispatchError): + func(((0, 1.0),)) + + +def test_meta_types(): + @multimethod + def f(x): + return "object" + + @f.register + def f(x: type): + return "type" + + @f.register + def f(x: enum.EnumMeta): + return "enum" + + @f.register + def f(x: enum.Enum): + return "member" + + dummy_enum = enum.Enum("DummyEnum", names="SPAM EGGS HAM") + assert f(123) == "object" + assert f(int) == "type" + assert f(dummy_enum) == "enum" + assert f(dummy_enum.EGGS) == "member" + + +def test_name_shadowing(): + # an object with the same name appearing previously in the same namespace + temp = 123 + + # a multimethod shadowing that name + @multimethod + def temp(x: int): + return "int" + + @multimethod + def temp(x: float): + return "float" + + assert isinstance(temp, multimethod) + assert temp(0) == "int" + assert temp(0.0) == "float" + + +def test_dispatch_exception(): + @multimethod + def temp(x: int, y): + return "int" + + @multimethod + def temp(x: int, y: float): + return "int, float" + + @multimethod + def temp(x: bool): + return "bool" + + @multimethod + def temp(x: int, y: object): + return "int, object" + + with pytest.raises(DispatchError, match="test_methods.py"): + # invalid number of args, check source file is part of the exception args + temp(1) + assert temp(1, y=1.0) == "int" + assert temp(True) == "bool" + assert temp(True, 1.0) == "int, float" + + @multimethod + def temp(x: bool, y=0.0): + return "optional" + + assert temp(True, 1.0) == "optional" diff --git a/appkits/qpyapp/docs/core/test_registeries.py b/appkits/qpyapp/docs/core/test_registeries.py new file mode 100644 index 0000000..0fedef8 --- /dev/null +++ b/appkits/qpyapp/docs/core/test_registeries.py @@ -0,0 +1,158 @@ +import importlib.metadata +import pytest +import sys +from pathlib import Path +from spell.core import registeries as catalogue + + +@pytest.fixture(autouse=True) +def cleanup(): + catalogue.REGISTRY = {} + yield + + +def test_get_set(): + catalogue._set(("a", "b", "c"), "test") + assert len(catalogue.REGISTRY) == 1 + assert ("a", "b", "c") in catalogue.REGISTRY + assert catalogue.check_exists("a", "b", "c") + assert catalogue.REGISTRY[("a", "b", "c")] == "test" + assert catalogue._get(("a", "b", "c")) == "test" + with pytest.raises(catalogue.RegistryError): + catalogue._get(("a", "b", "d")) + with pytest.raises(catalogue.RegistryError): + catalogue._get(("a", "b", "c", "d")) + catalogue._set(("x", "y", "z1"), "test1") + catalogue._set(("x", "y", "z2"), "test2") + assert catalogue._remove(("a", "b", "c")) == "test" + catalogue._set(("x", "y2"), "test3") + with pytest.raises(catalogue.RegistryError): + catalogue._remove(("x", "y")) + assert catalogue._remove(("x", "y", "z2")) == "test2" + + +def test_registry_get_set(): + test_registry = catalogue.create("test") + with pytest.raises(catalogue.RegistryError): + test_registry.get("foo") + test_registry.register("foo", func=lambda x: x) + assert "foo" in test_registry + + +def test_registry_call(): + test_registry = catalogue.create("test") + test_registry("foo", func=lambda x: x) + assert "foo" in test_registry + + +def test_get_all(): + catalogue._set(("a", "b", "c"), "test") + catalogue._set(("a", "b", "d"), "test") + catalogue._set(("a", "b"), "test") + catalogue._set(("b", "a"), "test") + all_items = catalogue._get_all(("a", "b")) + assert len(all_items) == 3 + assert ("a", "b", "c") in all_items + assert ("a", "b", "d") in all_items + assert ("a", "b") in all_items + all_items = catalogue._get_all(("a", "b", "c")) + assert len(all_items) == 1 + assert ("a", "b", "c") in all_items + assert len(catalogue._get_all(("a", "b", "c", "d"))) == 0 + + +def test_create_single_namespace(): + test_registry = catalogue.create("test") + assert catalogue.REGISTRY == {} + + @test_registry.register("a") + def a(): + pass + + def b(): + pass + + test_registry.register("b", func=b) + items = test_registry.get_all() + assert len(items) == 2 + assert items["a"] == a + assert items["b"] == b + assert catalogue.check_exists("test", "a") + assert catalogue.check_exists("test", "b") + assert catalogue._get(("test", "a")) == a + assert catalogue._get(("test", "b")) == b + + with pytest.raises(TypeError): + # The decorator only accepts one argument + @test_registry.register("x", "y") + def x(): + pass + + +def test_create_multi_namespace(): + test_registry = catalogue.create("x", "y") + + @test_registry.register("z") + def z(): + pass + + items = test_registry.get_all() + assert len(items) == 1 + assert items["z"] == z + assert catalogue.check_exists("x", "y", "z") + assert catalogue._get(("x", "y", "z")) == z + + +def _check_entry_points(): + # Check entry points for test_entry_points_older() and test_entry_points_newer(). + assert catalogue.REGISTRY == {} + test_registry = catalogue.create("test", "foo", entry_points=True) + entry_points = test_registry.get_entry_points() + assert "bar" in entry_points + assert entry_points["bar"] == catalogue.check_exists + assert test_registry.get_entry_point("bar") == catalogue.check_exists + assert catalogue.REGISTRY == {} + assert test_registry.get("bar") == catalogue.check_exists + assert test_registry.get_all() == {"bar": catalogue.check_exists} + assert "bar" in test_registry + + +@pytest.mark.skipif( + sys.version_info >= (3, 10), + reason="Test does not support >=3.10 importlib_metadata API", +) +def test_entry_points_older(): + # Create a new EntryPoint object by pretending we have a setup.cfg and + # use one of catalogue's util functions as the advertised function + ep_string = "[options.entry_points]test_foo\n bar = catalogue:check_exists" + ep = importlib.metadata.EntryPoint._from_text(ep_string) + catalogue.AVAILABLE_ENTRY_POINTS["test_foo"] = ep + _check_entry_points() + + +@pytest.mark.skipif( + sys.version_info < (3, 10), + reason="Test does not support <3.10 importlib_metadata API", +) +def test_entry_points_newer(): + # Create a new EntryPoint object by pretending we have a setup.cfg and + # use one of catalogue's util functions as the advertised function + ep = importlib.metadata.EntryPoint("bar", "catalogue:check_exists", "test_foo") + catalogue.AVAILABLE_ENTRY_POINTS["test_foo"] = importlib.metadata.EntryPoints([ep]) + _check_entry_points() + + +def test_registry_find(): + test_registry = catalogue.create("test_registry_find") + name = "a" + + @test_registry.register(name) + def a(): + """This is a registered function.""" + pass + + info = test_registry.find(name) + assert info["module"] == "catalogue.tests.test_catalogue" + assert info["file"] == str(Path(__file__)) + assert info["docstring"] == "This is a registered function." + assert info["line_no"] diff --git a/appkits/qpyapp/docs/di.md b/appkits/qpyapp/docs/di.md new file mode 100644 index 0000000..f1d6b93 --- /dev/null +++ b/appkits/qpyapp/docs/di.md @@ -0,0 +1,39 @@ +# Depenency Injections + +```python +from examples import Example +from injectable import injectable, autowired, Autowired, load_injection_container + + +@injectable +class Dep: + def __init__(self): + self.foo = "foo" + + +class IllustrativeExample(Example): + @autowired + def __init__(self, dep: Autowired(Dep)): + self.dep = dep + + def run(self): + print(self.dep.foo) + # foo + + +def run_example(): + load_injection_container() + example = IllustrativeExample() + example.run() + + +if __name__ == "__main__": + run_example() +``` + +## DI + +- Module +- Binder +- Injector +- ModuleContainer \ No newline at end of file diff --git a/appkits/qpyapp/docs/di.py b/appkits/qpyapp/docs/di.py new file mode 100644 index 0000000..b9f5760 --- /dev/null +++ b/appkits/qpyapp/docs/di.py @@ -0,0 +1,92 @@ +# from types import LambdaType +# from typing import Any, Dict, Type, Union, Callable, List +# +# +# _MISSING_SERVICE = object() +# +# +# class Container: +# def __init__(self): +# self._memoized_services: Dict[Union[str, Type], Any] = {} +# self._services: Dict[Union[str, Type], Any] = {} +# self._factories: Dict[Union[str, Type], Callable[[Container], Any]] = {} +# self._aliases: Dict[Union[str, Type], List[Union[str, Type]]] = {} +# +# def __setitem__(self, key: Union[str, Type], value: Any) -> None: +# self._services[key] = value +# +# if key in self._memoized_services: +# del self._memoized_services[key] +# +# def add_alias(self, name: Union[str, Type], target: Union[str, Type]): +# if List[target] in self._memoized_services: # type: ignore +# del self._memoized_services[List[target]] # type: ignore +# +# if name not in self._aliases: +# self._aliases[name] = [] +# self._aliases[name].append(target) +# +# def __getitem__(self, key: Union[str, Type]) -> Any: +# if key in self._factories: +# return self._factories[key](self) +# +# service = self._get(key) +# +# if service is not _MISSING_SERVICE: +# return service +# +# if key in self._aliases: +# service = self._get(self._aliases[key][0]) # By default return first aliased service +# +# if service is not _MISSING_SERVICE: +# return service +# +# # Support aliasing +# if self._has_alias_list_for(key): +# result = [self._get(alias) for alias in self._aliases[key.__args__[0]]] # type: ignore +# self._memoized_services[key] = result +# return result +# +# raise ServiceError(f"Service {key} is not registered.") +# +# def _get(self, key: Union[str, Type]) -> Any: +# if key in self._memoized_services: +# return self._memoized_services[key] +# +# if key not in self._services: +# return _MISSING_SERVICE +# +# value = self._services[key] +# +# if isinstance(value, LambdaType) and value.__name__ == "": +# self._memoized_services[key] = value(self) +# return self._memoized_services[key] +# +# return value +# +# def __contains__(self, key) -> bool: +# contains = key in self._services or key in self._factories or key in self._aliases +# +# if contains: +# return contains +# +# if self._has_alias_list_for(key): +# return True +# +# return False +# +# def _has_alias_list_for(self, key: Union[str, Type]) -> bool: +# return hasattr(key, "__origin__") and hasattr(key, "__args__") and key.__origin__ == list and key.__args__[0] in self._aliases # type: ignore +# +# @property +# def factories(self) -> Dict[Union[str, Type], Callable[["Container"], Any]]: +# return self._factories +# +# def clear_cache(self) -> None: +# self._memoized_services = {} +# +# +# di: Container = Container() +# +# +# __all__ = ["Container", "di"] diff --git a/appkits/qpyapp/docs/references.yaml b/appkits/qpyapp/docs/references.yaml new file mode 100644 index 0000000..9e041a7 --- /dev/null +++ b/appkits/qpyapp/docs/references.yaml @@ -0,0 +1,50 @@ +meta-libs: + - https://github.com/coady/multimethod.git + - https://github.com/Aran-Fey/introspection.git + - https://github.com/ikalnytskyi/picobox + - https://github.com/allrod5/injectable.git + - https://github.com/kodemore/kink.git + +infra: + - https://github.com/restackio + - https://github.com/meta-llama/llama-stack + - https://github.com/Zipstack/unstract +tools: + - https://github.com/Byaidu/PDFMathTranslate.git + - https://github.com/DS4SD/docling + - https://github.com/linkwarden/linkwarden + - https://github.com/gitroomhq/postiz-app + - https://github.com/daveshanley/vacuum + - https://github.com/midday-ai + - https://github.com/lecca-digital/lecca-io.git + - https://github.com/DrewThomasson/ebook2audiobook + - https://github.com/CopilotKit/CopilotKit.git + - https://github.com/janhq/jan + - https://github.com/QwenLM/Qwen-Agent + - https://github.com/microsoft/PromptWizard.git + - https://github.com/PatrickJS/awesome-cursorrules.git + - https://github.com/Ironclad/rivet.git + - https://github.com/microsoft/markitdown.git +saas-tools: + - https://github.com/weijunext/indie-hacker-tools + - https://github.com/mckaywrigley/mckays-app-template +testing: + - https://github.com/heiko-hotz/genai-agent-tool-selection-testing +ideas: + - https://github.com/vthinkxie/ai-recorder +browser: + - https://github.com/browserbase/stagehand.git +tutorials: + - https://training.talkpython.fm/ + - https://github.com/codecrafters-io/build-your-own-x + - https://github.com/anthropics/anthropic-cookbook.git +news: + - https://github.com/Freelander/AI-Dail + - https://github.com/Justin3go/FAV0.git +agents: + - https://github.com/virattt/ai-financial-agent.git +chains-tools: + - https://github.com/pcaversaccio/create2deployer + - https://github.com/project-89/whitepaper/tree/main + - https://github.com/0xPlaygrounds/rig + - https://github.com/steven2358/awesome-blockchain-ai.git \ No newline at end of file diff --git a/appkits/qpyapp/docs/revisited/1-setup/conda.md b/appkits/qpyapp/docs/revisited/1-setup/conda.md new file mode 100644 index 0000000..f5dbf76 --- /dev/null +++ b/appkits/qpyapp/docs/revisited/1-setup/conda.md @@ -0,0 +1,82 @@ +# Conda 设置环境 + +Conda也是常用管理虚拟环境的一个工具,主要用在Python数字分析相关项目中 + +## 创建环境 + +```bash + conda env create --name pyqa-30min --file .devcontainer/environment.yml +``` + +environment.yml 内容: + +```yaml +name: pyqa-30min +channels: + - defaults +dependencies: +- python=3.11 +``` + +所有的dependencies都可以加在dependencies中,这里只表示是python 3.11版本,依赖都可以添加. + + +## 激活环境 + +```shell +conda activate pyqa-30min +``` + +## 查看所有的虚拟环境 + +```shell +conda env list +``` + +## 详细Conda命令 + +可以使用tldr查看比较详细的Conda命令 + +```shell +tldr conda +``` + +```shell +❯ tldr conda + + conda + + Package, dependency and environment management for any programming language. + Some subcommands such as conda create have their own usage documentation. + More information: https://github.com/conda/conda. + + - Create a new environment, installing named packages into it: + conda create --name environment_name python=3.9 matplotlib + + - List all environments: + conda info --envs + + - Load an environment: + conda activate environment_name + + - Unload an environment: + conda deactivate + + - Delete an environment (remove all packages): + conda remove --name environment_name --all + + - Install packages into the current environment: + conda install python=3.4 numpy + + - List currently installed packages in current environment: + conda list + + - Delete unused packages and caches: + conda clean --all + +``` + +## Conda+Poetry + +poetry会自动使用conda的包管理器,所以poetry和conda可以同时使用。activate conda环境之后,运行poetry命令 +可以进行依赖的安装等操作而没有任何影响. \ No newline at end of file diff --git a/appkits/qpyapp/docs/revisited/1-setup/jupterlan-setup.md b/appkits/qpyapp/docs/revisited/1-setup/jupterlan-setup.md new file mode 100644 index 0000000..7fb3234 --- /dev/null +++ b/appkits/qpyapp/docs/revisited/1-setup/jupterlan-setup.md @@ -0,0 +1,8 @@ +# Setup Jupterlab + +```shell +pdm add jupterhub jupyter notebook jupyterlab +pdm add jupyter-notebook-parser + +``` + diff --git a/appkits/qpyapp/docs/revisited/1-setup/pdm-poetry-setup.md b/appkits/qpyapp/docs/revisited/1-setup/pdm-poetry-setup.md new file mode 100644 index 0000000..e33cc75 --- /dev/null +++ b/appkits/qpyapp/docs/revisited/1-setup/pdm-poetry-setup.md @@ -0,0 +1,36 @@ +# PDM Project Setup + +How to use pdm setup python project: +1. init +2. add dependencies +3. build +4. scripts like npm scripts + +## Init Project +```sh +pdm init +``` + +## Add/Install dependencies + + +```sh +pdm add +pdm install + +``` +## Build Project + +```sh +pdm build +``` + +## pdm scripts + +How to setup pdm scripts. + +```shell +pdm run cleanup +``` + + diff --git "a/appkits/qpyapp/docs/revisited/1-setup/pdm/1-\345\246\202\344\275\225\345\210\233\345\273\272\351\241\271\347\233\256.md" "b/appkits/qpyapp/docs/revisited/1-setup/pdm/1-\345\246\202\344\275\225\345\210\233\345\273\272\351\241\271\347\233\256.md" new file mode 100644 index 0000000..ad31863 --- /dev/null +++ "b/appkits/qpyapp/docs/revisited/1-setup/pdm/1-\345\246\202\344\275\225\345\210\233\345\273\272\351\241\271\347\233\256.md" @@ -0,0 +1,74 @@ +--- +prompts: PDM项目的文档地址为: https://pdm-project.org/latest/,请为一个初学Python的人总结:PDM如何创建项目,包含创建新项目和在已有项目中使用 +--- + +# PDM创建项目 + +PDM(Python Dependency Manager)是一个现代的Python包和依赖管理工具,支持最新的PEP标准。以下是如何使用PDM创建新项目和在已有项目中使用的简要指南: + +## 创建新项目 + +1. **安装PDM**: + - 推荐使用安装脚本: + ```bash + curl -sSL https://pdm-project.org/install-pdm.py | python3 - + ``` + - 或者使用`pip`安装: + ```bash + pip install --user pdm + ``` + +2. **初始化新项目**: + - 在终端中进入你想创建项目的目录,然后运行: + ```bash + pdm init + ``` + - PDM会询问一些问题来帮助生成`pyproject.toml`文件。回答这些问题后,PDM会创建一个新的项目结构。 + +3. **选择Python解释器**: + - PDM会要求你选择一个Python解释器。你可以从已安装的Python版本中选择,或者通过以下命令安装新的Python解释器: + ```bash + pdm python install + ``` + - 选择解释器后,PDM会将其路径存储在`.pdm-python`文件中。 + +4. **创建虚拟环境**(可选): + - PDM会询问是否为项目创建虚拟环境。如果选择“是”,PDM会在项目根目录中创建一个虚拟环境,并将其用作项目的Python解释器。 + +## 在已有项目中使用PDM + +1. **进入项目目录**: + - 在终端中进入已有项目的根目录。 + +2. **初始化PDM**: + - 运行以下命令来初始化PDM: + ```bash + pdm init + ``` + - PDM会生成一个`pyproject.toml`文件,并询问一些关于项目的基本信息。 + +3. **安装依赖**: + - 使用以下命令添加项目依赖: + ```bash + pdm add + ``` + - 你可以一次性添加多个依赖包,PDM会自动更新`pdm.lock`文件以锁定每个包的版本。 + +4. **同步依赖**: + - 如果你已经有一个`pdm.lock`文件,可以使用以下命令同步依赖: + ```bash + pdm sync + ``` + +5. **管理项目配置**: + - 查看当前配置: + ```bash + pdm config + ``` + - 修改配置: + ```bash + pdm config + ``` + +通过以上步骤,你可以轻松地使用PDM创建新项目或在已有项目中管理依赖和配置。更多详细信息可以参考PDM的官方文档:[PDM文档](https://pdm-project.org/latest/usage/project/)[1][2][3][4][6]。 + diff --git "a/appkits/qpyapp/docs/revisited/1-setup/pdm/2-\345\246\202\344\275\225\345\256\211\350\243\205\345\222\214\345\210\240\351\231\244\344\276\235\350\265\226.md" "b/appkits/qpyapp/docs/revisited/1-setup/pdm/2-\345\246\202\344\275\225\345\256\211\350\243\205\345\222\214\345\210\240\351\231\244\344\276\235\350\265\226.md" new file mode 100644 index 0000000..997976a --- /dev/null +++ "b/appkits/qpyapp/docs/revisited/1-setup/pdm/2-\345\246\202\344\275\225\345\256\211\350\243\205\345\222\214\345\210\240\351\231\244\344\276\235\350\265\226.md" @@ -0,0 +1,74 @@ +--- +prompts: PDM项目的文档地址为: https://pdm-project.org/latest/,请为一个初学Python的人总结:PDM在项目中如何安装和删除依赖 +--- +PDM(Python Dependency Manager)是一个现代的Python包和依赖管理工具。以下是如何在项目中使用PDM安装和删除依赖的简要指南。 + +## 安装依赖 + +1. **安装PDM**: + - 首先需要安装PDM,可以使用以下命令: + ```bash + pip install pdm + ``` + +2. **初始化项目**: + - 在项目根目录下运行以下命令来初始化项目: + ```bash + pdm init + ``` + - 这将创建一个`pyproject.toml`文件,用于存储项目的配置信息。 + +3. **添加依赖**: + - 使用以下命令添加依赖包: + ```bash + pdm add + ``` + - 例如,添加`requests`包: + ```bash + pdm add requests + ``` + - PDM会自动更新`pyproject.toml`和`pdm.lock`文件以锁定依赖版本。 + +## 删除依赖 + +1. **删除依赖**: + - 使用以下命令删除依赖包: + ```bash + pdm remove + ``` + - 例如,删除`requests`包: + ```bash + pdm remove requests + ``` + - PDM会更新`pyproject.toml`和`pdm.lock`文件,并同步工作集以移除指定的包。 + +## 示例 + +### 安装依赖 + +```bash +# 安装PDM +pip install pdm + +# 初始化项目 +pdm init + +# 添加requests包 +pdm add requests +``` + +### 删除依赖 + +```bash +# 删除requests包 +pdm remove requests +``` + +通过以上步骤,你可以轻松地在项目中使用PDM管理依赖。更多详细信息可以参考PDM的官方文档:[PDM文档](https://pdm-project.org/latest/)[1][2][3][4][5]。 + +Citations: +[1] https://pdm-project.org/latest/ +[2] http://ipengtao.com/1095.html +[3] https://blog.csdn.net/qq_30901367/article/details/136605481 +[4] https://juejin.cn/post/7066326746412351519 +[5] https://blog.csdn.net/aichaoxy/article/details/134733841 diff --git "a/appkits/qpyapp/docs/revisited/1-setup/pdm/3-\345\246\202\344\275\225BuildPublish.md" "b/appkits/qpyapp/docs/revisited/1-setup/pdm/3-\345\246\202\344\275\225BuildPublish.md" new file mode 100644 index 0000000..f4d3e50 --- /dev/null +++ "b/appkits/qpyapp/docs/revisited/1-setup/pdm/3-\345\246\202\344\275\225BuildPublish.md" @@ -0,0 +1,93 @@ +--- +prompt: 文档地址为https://pdm-project.org/latest/,请为一个初学者总结,PDM如何Build和Publish,并用markdown 返回 +--- + +PDM(Python Dependency Manager)是一个现代的Python包和依赖管理工具。以下是如何使用PDM构建和发布项目的简要指南。 + +## 构建和发布项目 + +### 构建项目 + +1. **初始化项目**: + - 在项目根目录下运行以下命令来初始化项目: + ```bash + pdm init + ``` + - 这将创建一个`pyproject.toml`文件,用于存储项目的配置信息。 + +2. **添加依赖**: + - 使用以下命令添加依赖包: + ```bash + pdm add + ``` + - 例如,添加`requests`包: + ```bash + pdm add requests + ``` + +3. **构建项目**: + - 使用以下命令构建项目: + ```bash + pdm build + ``` + - 这将生成一个`wheel`和一个源代码分发包(`sdist`),并将它们存储在`dist/`目录中。 + +### 发布项目 + +1. **发布到PyPI**: + - 使用以下命令将构建的包发布到PyPI: + ```bash + pdm publish + ``` + - 这将自动构建并上传包到PyPI索引。 + +2. **指定其他仓库**: + - 如果需要发布到其他仓库,可以使用`--repository`选项: + ```bash + pdm publish --repository + ``` + - 例如,发布到自定义仓库: + ```bash + pdm publish --repository https://example.com/repository + ``` + +3. **分步构建和发布**: + - 你也可以分两步进行构建和发布,以便在上传之前检查构建的工件: + ```bash + pdm build + pdm publish + ``` + +### 示例 + +#### 构建项目 + +```bash +# 初始化项目 +pdm init + +# 添加requests包 +pdm add requests + +# 构建项目 +pdm build +``` + +#### 发布项目 + +```bash +# 发布到PyPI +pdm publish + +# 发布到自定义仓库 +pdm publish --repository https://example.com/repository +``` + +通过以上步骤,你可以使用PDM轻松地构建和发布Python项目。更多详细信息可以参考PDM的官方文档:[PDM文档](https://pdm-project.org/latest/)[1][3][4]。 + +Citations: +[1] https://pdm-project.org/latest/ +[2] https://juejin.cn/post/7066326746412351519 +[3] https://pdm-project.org/latest/usage/publish/ +[4] https://pdm-project.org/latest/reference/build/ +[5] https://github.com/pdm-project/pdm-build-locked diff --git "a/appkits/qpyapp/docs/revisited/1-setup/pdm/4-\345\246\202\344\275\225\347\274\226\345\206\231\350\204\232\346\234\254.md" "b/appkits/qpyapp/docs/revisited/1-setup/pdm/4-\345\246\202\344\275\225\347\274\226\345\206\231\350\204\232\346\234\254.md" new file mode 100644 index 0000000..a4a7f26 --- /dev/null +++ "b/appkits/qpyapp/docs/revisited/1-setup/pdm/4-\345\246\202\344\275\225\347\274\226\345\206\231\350\204\232\346\234\254.md" @@ -0,0 +1,130 @@ +--- +prompt: 文档地址为https://pdm-project.org/latest/,请为一个初学者总结,PDM如何编写脚本,并用markdown 返回 +--- +PDM(Python Dependency Manager)支持在项目中编写和运行自定义脚本。以下是如何在PDM中编写脚本的简要指南。 + +## 编写脚本 + +PDM允许你在`pyproject.toml`文件中定义自定义脚本。这些脚本可以用于自动化常见任务,如测试、构建和部署。 + +### 定义脚本 + +在`pyproject.toml`文件中,你可以在`[tool.pdm.scripts]`部分定义脚本。例如: + +```toml +[tool.pdm.scripts] +# 定义一个名为"start"的脚本 +start = "python main.py" + +# 定义一个名为"test"的脚本,使用pytest运行测试 +test = "pytest tests/" + +# 定义一个名为"lint"的脚本,使用flake8进行代码检查 +lint = "flake8 src/" +``` + +### 运行脚本 + +定义脚本后,你可以使用以下命令运行它们: + +```bash +# 运行名为"start"的脚本 +pdm run start + +# 运行名为"test"的脚本 +pdm run test + +# 运行名为"lint"的脚本 +pdm run lint +``` + +### 脚本类型 + +PDM支持四种类型的脚本: + +1. **cmd**:纯文本脚本被视为普通命令。例如: + ```toml + [tool.pdm.scripts] + greet = "echo Hello, World!" + ``` + +2. **shell**:Shell脚本可用于运行更多与Shell相关的任务,例如管道和输出重定向。例如: + ```toml + [tool.pdm.scripts] + list_files = "ls -la" + ``` + +3. **call**:调用Python函数。例如: + ```toml + [tool.pdm.scripts] + custom_task = "my_module:my_function" + ``` + +4. **composite**:组合多个子任务。例如: + ```toml + [tool.pdm.scripts] + build_and_test = [ + "pdm build", + "pdm run test" + ] + ``` + +### 显示脚本列表 + +你可以使用以下命令显示可用脚本的列表: + +```bash +pdm run --list +``` + +### 示例 + +#### 定义脚本 + +```toml +[tool.pdm.scripts] +start = "python main.py" +test = "pytest tests/" +lint = "flake8 src/" +greet = "echo Hello, World!" +list_files = "ls -la" +custom_task = "my_module:my_function" +build_and_test = [ + "pdm build", + "pdm run test" +] +``` + +#### 运行脚本 + +```bash +# 运行start脚本 +pdm run start + +# 运行test脚本 +pdm run test + +# 运行lint脚本 +pdm run lint + +# 运行greet脚本 +pdm run greet + +# 运行list_files脚本 +pdm run list_files + +# 运行custom_task脚本 +pdm run custom_task + +# 运行build_and_test脚本 +pdm run build_and_test +``` + +通过以上步骤,你可以在PDM项目中编写和运行自定义脚本,以自动化各种任务。更多详细信息可以参考PDM的官方文档:[PDM脚本文档](https://pdm-project.org/latest/usage/scripts/)[4]。 + +Citations: +[1] https://pdm-project.org/latest/ +[2] https://juejin.cn/post/7066326746412351519 +[3] https://pdm-project.org/zh-cn/latest/usage/config/ +[4] https://pdm-project.org/zh-cn/latest/usage/scripts/ +[5] https://pdm-project.org/zh-cn/latest/usage/hooks/ diff --git "a/appkits/qpyapp/docs/revisited/1-setup/pdm/5-\345\246\202\344\275\225\351\205\215\347\275\256.md" "b/appkits/qpyapp/docs/revisited/1-setup/pdm/5-\345\246\202\344\275\225\351\205\215\347\275\256.md" new file mode 100644 index 0000000..c8490f0 --- /dev/null +++ "b/appkits/qpyapp/docs/revisited/1-setup/pdm/5-\345\246\202\344\275\225\351\205\215\347\275\256.md" @@ -0,0 +1,84 @@ +--- +prompt: 文档地址为https://pdm-project.org/latest/,请为一个初学者总结,PDM如何配置项目,并用markdown 返回 +--- + + +PDM(Python Dependency Manager)提供了灵活的配置选项来管理项目。以下是如何配置PDM项目的简要指南: + +## 配置文件 + +PDM使用以下两个配置文件来存储项目和用户级别的设置: + +1. **项目配置文件**:`pdm.toml` + - 位于项目根目录下 + - 存储项目特定的配置 + +2. **用户配置文件**:`config.toml` + - 位于用户配置根目录下,通常是`~/.pdm` + - 存储用户级别的全局配置 + +## 配置项目 + +在`pdm.toml`文件中,你可以配置以下选项: + +### 项目元数据 + +```toml +name = "my-project" +version = "0.1.0" +description = "A sample project" +authors = ["Your Name "] +license = "MIT" +``` + +### 依赖管理 + +```toml +[project.dependencies] +requests = "*" +django = ">=3.2" + +[project.dev-dependencies] +pytest = "*" +``` + +### 构建选项 + +```toml +[project.scripts] +start = "python main.py" +test = "pytest tests/" + +[build-system] +requires = ["pdm-pep517>=1.0.0"] +build-backend = "pdm.pep517.api" +``` + +## 配置用户设置 + +在`config.toml`文件中,你可以配置以下选项: + +```toml +[python] +# 指定Python解释器路径 +path = "/usr/bin/python3" + +[cache] +# 启用或禁用缓存 +enabled = true +# 设置缓存目录 +dir = "/path/to/cache" + +[sources] +# 添加自定义包源 +sources = ["https://example.com/simple"] +``` + +通过编辑这些配置文件,你可以根据需求定制PDM的行为和项目设置。更多详细信息可以参考PDM的官方文档:[PDM配置文档](https://pdm-project.org/zh-cn/latest/usage/config/)[1][4]。 + +Citations: +[1] https://pdm-project.org/latest/ +[2] https://juejin.cn/post/7066326746412351519 +[3] http://ipengtao.com/1095.html +[4] https://pdm-project.org/zh-cn/latest/usage/config/ +[5] https://blog.csdn.net/weixin_36338224/article/details/124237509 diff --git "a/appkits/qpyapp/docs/revisited/1-setup/pdm/5-\347\256\241\347\220\206\350\231\232\346\213\237\347\216\257\345\242\203.md" "b/appkits/qpyapp/docs/revisited/1-setup/pdm/5-\347\256\241\347\220\206\350\231\232\346\213\237\347\216\257\345\242\203.md" new file mode 100644 index 0000000..d245f67 --- /dev/null +++ "b/appkits/qpyapp/docs/revisited/1-setup/pdm/5-\347\256\241\347\220\206\350\231\232\346\213\237\347\216\257\345\242\203.md" @@ -0,0 +1,104 @@ +--- +prompt: 文档地址为https://pdm-project.org/latest/,请为一个初学者总结PDM如何管理虚拟环境,并用markdown 返回 +--- + +PDM(Python Dependency Manager)提供了多种方式来管理虚拟环境。以下是如何使用PDM管理虚拟环境的简要指南。 + +## 管理虚拟环境 + +### 创建和初始化虚拟环境 + +1. **初始化项目**: + - 在项目根目录下运行以下命令来初始化项目: + ```bash + pdm init + ``` + - PDM会询问是否需要创建一个新的虚拟环境。如果选择“是”,PDM会在项目目录中创建一个虚拟环境。 + +2. **选择Python解释器**: + - 在初始化过程中,PDM会要求你选择一个Python解释器。你可以从已安装的Python版本中选择,或者通过以下命令安装新的Python解释器: + ```bash + pdm use -f + ``` + +### 使用虚拟环境 + +1. **激活虚拟环境**: + - PDM会自动管理虚拟环境,无需手动激活。所有的PDM命令都会在虚拟环境中运行。 + +2. **安装依赖**: + - 使用以下命令安装依赖包: + ```bash + pdm add + ``` + - 例如,添加`requests`包: + ```bash + pdm add requests + ``` + +3. **同步依赖**: + - 如果你已经有一个`pdm.lock`文件,可以使用以下命令同步依赖: + ```bash + pdm sync + ``` + +### 管理虚拟环境 + +1. **查看虚拟环境信息**: + - 使用以下命令查看当前虚拟环境的信息: + ```bash + pdm info + ``` + +2. **删除虚拟环境**: + - 使用以下命令删除当前项目的虚拟环境: + ```bash + pdm venv remove + ``` + +3. **列出所有虚拟环境**: + - 使用以下命令列出所有由PDM管理的虚拟环境: + ```bash + pdm venv list + ``` + +### 示例 + +#### 初始化项目并创建虚拟环境 + +```bash +# 初始化项目 +pdm init + +# 选择Python解释器 +pdm use -f /usr/bin/python3.8 +``` + +#### 安装依赖 + +```bash +# 添加requests包 +pdm add requests +``` + +#### 管理虚拟环境 + +```bash +# 查看虚拟环境信息 +pdm info + +# 删除虚拟环境 +pdm venv remove + +# 列出所有虚拟环境 +pdm venv list +``` + +通过以上步骤,你可以使用PDM轻松地管理虚拟环境。更多详细信息可以参考PDM的官方文档:[PDM文档](https://pdm-project.org/latest/)[1][2][3][4][5]。 + +Citations: +[1] https://pdm-project.org/latest/ +[2] https://juejin.cn/post/7066326746412351519 +[3] http://ipengtao.com/1095.html +[4] https://frostming.com/2022/pdm-2/ +[5] https://blog.csdn.net/weixin_36338224/article/details/124237509 diff --git "a/appkits/qpyapp/docs/revisited/1-setup/pdm/6-\347\224\237\345\221\275\345\221\250\346\234\237.md" "b/appkits/qpyapp/docs/revisited/1-setup/pdm/6-\347\224\237\345\221\275\345\221\250\346\234\237.md" new file mode 100644 index 0000000..f777c5f --- /dev/null +++ "b/appkits/qpyapp/docs/revisited/1-setup/pdm/6-\347\224\237\345\221\275\345\221\250\346\234\237.md" @@ -0,0 +1,64 @@ +--- +prompt: 文档地址为https://pdm-project.org/latest/,请为一个初学者总结PDM生命周期和Hook管理,并用markdown 返回 +--- +PDM提供了生命周期管理和钩子机制来帮助管理Python项目的不同阶段。以下是PDM生命周期和钩子的简要总结: + +## 生命周期阶段 + +PDM将Python项目生命周期分为以下几个阶段: + +### 初始化阶段 + +- 通过运行`pdm init`命令初始化项目 +- 会触发`post_init`钩子 + +### 安装阶段 + +- 通过`pdm add`和`pdm sync`命令安装依赖 +- 会触发`pre_install`和`post_install`钩子 + +### 构建阶段 + +- 通过`pdm build`命令构建项目 +- 会触发`pre_build`和`post_build`钩子 + +### 发布阶段 + +- 通过`pdm publish`命令发布项目 +- 会触发`pre_publish`和`post_publish`钩子 + +## 钩子管理 + +PDM允许插件和开发者定义自定义脚本来挂钩到上述生命周期中的不同阶段。 + +### 内置钩子 + +PDM内置了以下钩子: + +- `pre_invoke`: 在执行任何命令前触发 +- `pre_*`和`post_*`: 对应各个生命周期阶段的前置和后置钩子 + +### 用户脚本钩子 + +- 用户可以在`pyproject.toml`中定义脚本 +- 每个脚本可以定义`pre_*`和`post_*`钩子 +- 执行`pdm run`时会触发`pre_run`和`post_run`钩子 +- 执行具体脚本时会触发`pre_script`和`post_script`钩子 + +### 跳过钩子 + +PDM允许使用`--skip`选项跳过某些钩子和任务的执行,例如: + +```bash +# 跳过所有pre_*钩子和post_test任务 +pdm run --skip=:pre,post_test composite +``` + +通过生命周期管理和钩子机制,PDM让开发者能够更好地控制Python项目在不同阶段的行为。更多详细信息请参考PDM官方文档:[PDM生命周期与钩子](https://pdm-project.org/zh-cn/latest/usage/hooks/)[1][5]。 + +Citations: +[1] https://pdm-project.org/latest/ +[2] https://book118.com/html/2019/0529/8130102115002025.shtm +[3] https://d.wanfangdata.com.cn/periodical/hbqy201709072 +[4] https://juejin.cn/post/7066326746412351519 +[5] https://pdm-project.org/zh-cn/latest/usage/hooks/ diff --git "a/appkits/qpyapp/docs/revisited/1-setup/pdm/7-\347\256\241\347\220\206\345\272\224\347\224\250.md" "b/appkits/qpyapp/docs/revisited/1-setup/pdm/7-\347\256\241\347\220\206\345\272\224\347\224\250.md" new file mode 100644 index 0000000..b4a4556 --- /dev/null +++ "b/appkits/qpyapp/docs/revisited/1-setup/pdm/7-\347\256\241\347\220\206\345\272\224\347\224\250.md" @@ -0,0 +1,97 @@ +--- +prompt: 文档地址为https://pdm-project.org/latest/,请为一个初学者总结,PDM如何高级应用,并用markdown 返回 +--- +PDM提供了一些高级用法和集成选项,可以增强自动化测试、持续集成等工作流程。以下是PDM的一些高级应用场景: + +## 自动化测试 + +### 与Tox集成 + +Tox是一个流行的测试自动化工具,可以针对多个Python版本和依赖环境进行测试。PDM可以与Tox无缝集成: + +1. 在`tox.ini`中配置PDM: + +```ini +[testenv] +deps = + pdm-pep517>=1.0.0 +commands = + pdm sync + pytest tests/ +isolated_build = true +passenv = PDM_* +``` + +2. 安装`tox-pdm`插件以简化配置: + +``` +pdm add --dev tox-pdm +``` + +3. 简化的`tox.ini`: + +```ini +[testenv] +commands = + pytest tests/ +``` + +### 与Nox集成 + +Nox是另一个自动化测试工具,使用Python文件进行配置。在`noxfile.py`中配置PDM: + +```python +import nox + +@nox.session +def tests(session): + session.install("pdm-pep517") + session.run("pdm", "sync", external=True) + session.run("pytest", "tests/") +``` + +## 持续集成 + +PDM可以很好地与常见的CI/CD工具集成,如GitHub Actions、Travis CI等。以GitHub Actions为例: + +```yaml +name: Tests + +on: [push] + +jobs: + + build: + runs-on: ${{ matrix.os }} + strategy: + matrix: + os: [ubuntu-latest, windows-latest] + python-version: ['3.8', '3.9'] + + steps: + - uses: actions/checkout@v2 + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v2 + with: + python-version: ${{ matrix.python-version }} + - name: Install PDM + run: | + python -m pip install pdm + - name: Install dependencies + run: | + pdm sync + - name: Run tests + run: | + pdm run test +``` + +该工作流程在不同操作系统和Python版本下安装PDM、同步依赖并运行测试。 + +通过以上集成方式,PDM可以很好地融入现代Python开发工作流,提高自动化测试和持续集成的效率。更多高级用法请参考PDM官方文档:[高级用法](https://pdm-project.org/zh-cn/latest/usage/advanced/)[1][2][3][5]。 + +Citations: +[1] https://pdm-project.org/latest/ +[2] https://blog.csdn.net/z099164/article/details/135265518 +[3] http://ipengtao.com/1095.html +[4] https://yuxitech.com/Content/2375335.html +[5] https://pdm-project.org/zh-cn/latest/usage/advanced/ diff --git a/appkits/qpyapp/docs/revisited/1-setup/pdm/8-cheatsheet.md b/appkits/qpyapp/docs/revisited/1-setup/pdm/8-cheatsheet.md new file mode 100644 index 0000000..b1ac236 --- /dev/null +++ b/appkits/qpyapp/docs/revisited/1-setup/pdm/8-cheatsheet.md @@ -0,0 +1,28 @@ + +## PDM setup + +```shell +pdm init +pdm install +pdm remove +pdm info --env +``` + +## PDM Config + +```shell +pdm config +pdm init -n --backend pdm-backend minimal +``` + + +## References + +Citations: +[1] https://pdm-project.org/latest/ +[2] https://lyz-code.github.io/blue-book/pdm/ +[3] https://github.com/pdm-project/pdm +[4] https://rudeigerc.dev/posts/structuring-a-python-project/ +[5] https://pdm-project.org +[6] https://pdm-project.org/latest/usage/project/ +[7] [pdm-setup-tutorials](https://rudeigerc.dev/posts/structuring-a-python-project/) diff --git a/appkits/qpyapp/docs/revisited/1-setup/poetry/1-poetry.md b/appkits/qpyapp/docs/revisited/1-setup/poetry/1-poetry.md new file mode 100644 index 0000000..1ec7fd5 --- /dev/null +++ b/appkits/qpyapp/docs/revisited/1-setup/poetry/1-poetry.md @@ -0,0 +1,155 @@ +# Setup Project With Poetry + +- Init Project +- Add Dep +- Build and Publish + +## 1. Poetry Install + +安装命令: + +```sh +pip install pipx -U +pipx install poetry +pipx ensurepath +``` + +## 2. Poetry 新建项目 + +```sh +poetry new pyqa-30min + +``` + +## 3. 不同的代码folder结构: + +- 没有src目录: +``` +poetry-demo +├── pyproject.toml +├── README.md +├── poetry_demo +│ └── __init__.py +└── tests + └── __init__.py +``` +指定打包内容: +```sh +packages = [{include = "poetry_demo"}] +``` + +- 有src目录结构: + +```sh +poetry-demo +├── pyproject.toml +├── README.md +├── src +│ ├── poetry_demo +│ └── __init__.py +└── tests + └── __init__.py +``` + +```sh +packages = [{include = "poetry_demo",from="src"}] +``` + +## 2. 安装依赖和依赖组(Dependency groups) + +```sh +[tool.poetry.dependencies] # main dependency group +httpx = "*" +pendulum = "*" +[tool.poetry.group.test.dependencies] +pytest = "^6.0.0" +pytest-mock = "*" +[tool.poetry.group.dev.dependencies] +pytest = "^6.0.0" +pytest-mock = "*" +``` + +- 安装依赖 + +```sh +poetry add httpx pendulum +``` +- 安装分组依赖 + +```sh +poetry add pytest pytest-mock --group test +poetry add pytest pytest-mock --group dev + +``` +- 安装/删除分组 +```sh +poetry install --without test,docs +poetry install --only main +poetry install --with docs +poetry remove mkdocs --group docs +``` +- poetry.lock 文件: 锁定安装的依赖版本 + +> Dependency synchronization ensures that the locked dependencies in the poetry.lock + +```sh +poetry install --sync +``` + +## 3.poetry build and publish + +```sh +poetry build +poetry publish +poetry publish -r my-repository +``` +如何设置publish [credentials](https://python-poetry.org/docs/master/repositories/#configuring-credentials) + +## 4. Poetry 常用命令 + +- 使用python +```sh +poetry env use /full/path/to/python +``` +- 创建虚拟环境和获取环境信息 +```sh +poetry shell +poetry env info + +``` +- 添加依赖 + +```sh +poetry add httpx +poetry add "httpx[all]" +``` +- 安装 + +```sh +poetry install -vvv +``` + +- build和发布 + +```sh +poetry build +poetry install +``` + +## 4. 额外 + +- 添加github 依赖 + +```sh +[tool.poetry.dependencies] +python = ">=3.10,<3.12" +fluentpy = { git = "git@github.com:qa/fluentpy.git", branch = "main" } +``` + +- 其他详细内容参考官方网站 + +[python-poetry](https://python-poetry.org/) + + + + diff --git a/appkits/qpyapp/docs/revisited/2-excel-data/pandas-30min.md b/appkits/qpyapp/docs/revisited/2-excel-data/pandas-30min.md new file mode 100644 index 0000000..23221de --- /dev/null +++ b/appkits/qpyapp/docs/revisited/2-excel-data/pandas-30min.md @@ -0,0 +1,3 @@ +## Pandas Excel-CSV Operation + +## Read diff --git a/appkits/qpyapp/docs/scope.py b/appkits/qpyapp/docs/scope.py new file mode 100644 index 0000000..03d442c --- /dev/null +++ b/appkits/qpyapp/docs/scope.py @@ -0,0 +1,111 @@ +# """Scope interface and builtin implementations.""" +# +# import abc +# import threading +# import typing as t +# +# try: +# import contextvars as _contextvars +# except ImportError: +# _contextvars = None +# +# +# class Scope(metaclass=abc.ABCMeta): +# """Scope is an execution context based storage interface. +# +# Execution context is a mechanism of storing and accessing data bound to a +# logical thread of execution. Thus, one may consider processes, threads, +# greenlets, coroutines, Flask requests to be examples of a logical thread. +# +# The interface provides just two methods: +# +# * :meth:`.set` - set execution context item +# * :meth:`.get` - get execution context item +# +# See corresponding methods for details below. +# """ +# +# @abc.abstractmethod +# def set(self, key: t.Hashable, value: t.Any) -> None: +# """Bind `value` to `key` in current execution context.""" +# +# @abc.abstractmethod +# def get(self, key: t.Hashable) -> t.Any: +# """Get `value` by `key` for current execution context.""" +# +# +# class singleton(Scope): +# """Share instances across application.""" +# +# def __init__(self): +# self._store = {} +# +# def set(self, key: t.Hashable, value: t.Any) -> None: +# self._store[key] = value +# +# def get(self, key: t.Hashable) -> t.Any: +# return self._store[key] +# +# +# class threadlocal(Scope): +# """Share instances across the same thread.""" +# +# def __init__(self): +# self._local = threading.local() +# +# def set(self, key: t.Hashable, value: t.Any) -> None: +# try: +# store = self._local.store +# except AttributeError: +# store = self._local.store = {} +# store[key] = value +# +# def get(self, key: t.Hashable) -> t.Any: +# try: +# rv = self._local.store[key] +# except AttributeError: +# raise KeyError(key) +# return rv +# +# +# class contextvars(Scope): +# """Share instances across the same execution context (:pep:`567`). +# +# Since `asyncio does support context variables`__, the scope could be used +# in asynchronous applications to share dependencies between coroutines of +# the same :class:`asyncio.Task`. +# +# .. __: https://docs.python.org/3.7/library/contextvars.html#asyncio-support +# +# .. versionadded:: 2.1 +# """ +# +# def __init__(self): +# self._store = {} +# +# def set(self, key: t.Hashable, value: t.Any) -> None: +# try: +# var = self._store[key] +# except KeyError: +# var = self._store[key] = _contextvars.ContextVar("picobox") +# var.set(value) +# +# def get(self, key: t.Hashable) -> t.Any: +# try: +# return self._store[key].get() +# except LookupError: +# raise KeyError(key) +# +# +# class noscope(Scope): +# """Do not share instances, create them each time on demand.""" +# +# def set(self, key: t.Hashable, value: t.Any) -> None: +# pass +# +# def get(self, key: t.Hashable) -> t.Any: +# raise KeyError(key) +# +# +# if not _contextvars: +# del contextvars diff --git a/appkits/qpyapp/every-chatgpt-ui.md b/appkits/qpyapp/every-chatgpt-ui.md new file mode 100644 index 0000000..0141579 --- /dev/null +++ b/appkits/qpyapp/every-chatgpt-ui.md @@ -0,0 +1,92 @@ +# Every front-end GUI client for ChatGPT API + +Similar to [Every Proximity Chat App](https://github.com/billmei/every-proximity-chat-app), I made this list to keep track of every graphical user interface alternative to access the API for ChatGPT, Claude, and other LLMs. + +If you want to add your app, feel free to open a pull request to add your app to the list. You can list your app under the appropriate category in alphabetical order. If you want your app removed from this list, you can also open a pull request to do that too. + +## Open Source + +### Web +- AI Chat | [demo](https://aichat.ksdev.pl) | [source](https://github.com/ksdev-pl/ai-chat) +- AI Belvedere | [demo](https://ai-belvedere-demo.alergant.us) | [source](https://github.com/DmitriyAlergant-T1A/ai-belvedere/) +- BetterChatGPT | [demo](https://bettergpt.chat/) | [source](https://github.com/ztjhz/BetterChatGPT) +- big-AGI | [demo](https://big-agi.com) | [source](https://github.com/enricoros/big-agi) +- claude-ui | [source](https://github.com/chihebnabil/claude-ui) +- Chatbot UI | [demo](https://www.chatbotui.com/) | [source](https://github.com/mckaywrigley/chatbot-ui) +- ChatGPT AI Template | [demo](https://horizon-ui.com/chatgpt-ai-template/) | [source](https://github.com/horizon-ui/chatgpt-ai-template) +- ChatGPT-API Demo | [demo](https://chatgpt.ddiu.me/) | [source](https://github.com/ddiu8081/chatgpt-demo) +- ChatGPT Cloned | [demo](https://chat-gpt-cloned.netlify.app/) | [source](https://github.com/PrasadBroo/ChatGPT) +- ChatGPT Lite | [demo](https://gptlite.vercel.app) | [source](https://github.com/blrchen/chatgpt-lite) +- ChatGPT Minimal | [demo](https://chatgpt-minimal.vercel.app) | [source](https://github.com/blrchen/chatgpt-minimal) +- ChatGPT Next Web | [demo](https://app.nextchat.dev/) | [source](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) +- ChatGPT-Vercel | [demo](https://www.chatsverse.xyz/) | [source](https://github.com/ourongxing/chatgpt-vercel) +- ChatGPT-web | [demo](https://niek.github.io/chatgpt-web/) | [source](https://github.com/Niek/chatgpt-web) +- Chat with GPT | [demo](https://www.chatwithgpt.ai/) | [source](https://github.com/cogentapps/chat-with-gpt) +- L-GPT | [demo](https://le-ai.app/) | [source](https://github.com/Peek-A-Booo/L-GPT) +- LobeChat | [demo](https://lobechat.com/) | [source](https://github.com/lobehub/lobe-chat) +- MyChatGPT | [demo](https://my-chat-gpt-lake.vercel.app/) | [source](https://github.com/Loeffeldude/my-chat-gpt) +- OrionChat | [demo](https://eliaspereirah.github.io/OrionChat) | [source](https://github.com/EliasPereirah/OrionChat) +- SlickGPT | [demo](https://slickgpt.vercel.app) | [source](https://github.com/ShipBit/slickgpt) +- SmoothGPT | [demo](https://smoothgpt.app) | [source](https://github.com/agambon/SmoothGPT) (fork of [ChatGPT UI](https://github.com/patrikzudel/PatrikZeros-ChatGPT-API-UI)) +- vanilla-chatgpt | [demo](https://raw.githack.com/casualwriter/vanilla-chatgpt/main/source/index.html) | [source](https://github.com/casualwriter/vanilla-chatgpt) +- WebLLM | [demo](https://chat.webllm.ai/) | [source](https://github.com/mlc-ai/web-llm-chat) + + +### Browser Extension +- chatGPTBox | [source](https://github.com/josStorer/chatGPTBox) | [Firefox](https://addons.mozilla.org/firefox/addon/chatgptbox/) | [Chrome](https://chrome.google.com/webstore/detail/chatgptbox/eobbhoofkanlmddnplfhnmkfbnlhpbbo) | [Edge](https://microsoftedge.microsoft.com/addons/detail/fission-chatbox-best/enjmfilpkbbabhgeoadmdpjjpnahkogf) | [Safari](https://apps.apple.com/app/fission-chatbox/id6446611121) +- ChatHub | [source](https://github.com/chathub-dev/chathub/) | [Chrome](https://chrome.google.com/webstore/detail/chathub-all-in-one-chatbo/iaakpnchhognanibcahlpcplchdfmgma?utm_source=every-chat-gpt-gui) | [Edge](https://microsoftedge.microsoft.com/addons/detail/chathub-allinone-chat/kdlmggoacmfoombiokflpeompajfljga?utm_source=every-chat-gpt-gui) +- Superpower ChatGPT | [source](https://github.com/saeedezzati/superpower-chatgpt) | [Chrome](https://chrome.google.com/webstore/detail/superpower-chatgpt/amhmeenmapldpjdedekalnfifgnpfnkc) | [Firefox](https://addons.mozilla.org/en-US/firefox/addon/superpower-chatgpt/) + +### Self-Hosted +- Anse | [demo](https://anse.app) | [source](https://github.com/anse-app/anse) +- ChatGPT Web | [source](https://github.com/Chanzhaoyu/chatgpt-web) +- Chatpad AI | [demo](https://chatpad.ai) | [source](https://github.com/deiucanta/chatpad) +- GPTPortal | [source](https://github.com/Zaki-1052/GPTPortal) +- Intelligence Hub | [source](https://github.com/streaver91/intelligence-hub) +- LibreChat | [demo](https://librechat-librechat.hf.space/login) | [source](https://github.com/danny-avila/LibreChat) +- Open WebUI | [source](https://github.com/open-webui/open-webui) +- VT.ai | [source](https://github.com/vinhnx/vt.ai) +- YakGPT | [demo](https://yakgpt.vercel.app) | [source](https://github.com/yakGPT/yakGPT) + +### Desktop +- AnythingLLM | [download](https://github.com/Mintplex-Labs/anything-llm) | [source](https://github.com/Mintplex-Labs/anything-llm) +- Chatbox | [download](https://chatboxapp.xyz/) | [source](https://github.com/Bin-Huang/chatbox) +- ChatGPT menubar app | [source](https://github.com/sw-yx/chatgpt-mac) +- Clipboard Conqueror | [source](https://github.com/aseichter2007/ClipboardConqueror) +- GPTextual | [source](https://github.com/stefankirchfeld/gptextual) +- Jan | [demo](https://jan.ai/) | [source](https://github.com/janhq/jan) +- Marvin | [download](https://www.askmarvin.ai/) | [source](https://github.com/prefecthq/marvin) +- PyGPT | [demo](https://pygpt.net/) | [source](https://github.com/szczyglis-dev/py-gpt) + +## Not Open Source + +### Web +- AI.LS | [demo](https://ai.ls/) +- AICamp | [demo](https://aicamp.so) +- Chatbus AI | [demo](https://www.chatbus.ai) +- ChatKit | [demo](https://chatkit.app/) +- grafychat | [demo](https://grafychat.com) +- Horizon AI Template | [demo](https://horizon-ui.com/horizon-ai-template/) +- InfernoAI | [demo](https://www.getinfernoai.com/) +- Keynet.AI | [demo](https://keynet.ai/) +- KoalaChat | [demo](https://koala.sh/chat) +- Mammouth | [demo](https://mammouth.ai/) +- MyGPT | [demo](https://mygpt.thesamur.ai/) +- NeatFlow AI | [demo](https://neatflowai.com) +- Poe | [demo](https://poe.com/) +- TypingMind | [demo](https://www.typingmind.com) +- Wielded | [demo](https://wielded.com/) +- You.com | [demo](https://you.com/plans) + +### Desktop +- BoltAI | [download](https://boltai.app/) +- ChatGPT Toolkit | [download](https://schmedu.com/tools/chatGpt) +- EasyChat AI | [download](https://easychat-ai.app/) +- FridayGPT | [download](https://www.fridaygpt.app/) +- GPT4All | [download](https://www.nomic.ai/gpt4all) +- MacGPT | [download](https://www.macgpt.com/) +- Msty | [download](https://msty.app) +- Writers brew | [download](https://writersbrew.app) + +# More plugins and tools +- [Awesomelist](https://github.com/reorx/awesome-chatgpt-api) \ No newline at end of file diff --git a/appkits/qpyapp/pyproject.toml b/appkits/qpyapp/pyproject.toml index 2e39afc..826d7ae 100644 --- a/appkits/qpyapp/pyproject.toml +++ b/appkits/qpyapp/pyproject.toml @@ -5,7 +5,44 @@ description = "Add your description here" readme = "README.md" requires-python = ">=3.10" -dependencies = [] +dependencies = [ + "gradio>=5.9.1", + "gradio-webrtc", + "numpy", + "websockets", + "twilio", + "Pillow", + "opencv-python", + "librosa", + "pydub", + "gradio_webrtc[vad]", + "numba==0.60.0", + "python-dotenv", + "modelscope-studio", + "anthropic>=0.42.0", + "google-generativeai>=0.8.3", + "openai>=1.58.1", + "lumaai>=1.2.2", + "cohere>=5.13.4", + "crewai>=0.86.0", + "langchain>=0.3.13", + "langchain-openai>=0.2.14", + "crewai-tools>=0.17.0", + "hyperbolic>=2.0.0", + "jupyter-notebook-parser>=0.1.4", + "manimgl>=1.7.2", + "box>=0.1.5", + "pytest>=8.3.4", + "lxml>=5.3.0", +] + +[project.optional-dependencies] +dev = [ + "pytest", + "black", + "isort", + "flake8" +] [build-system] requires = ["hatchling"] @@ -55,12 +92,12 @@ dev = [ [tool.ruff] line-length = 120 target-version = "py39" -include = ["qpyapp/**/*.py", "tests/**/*.py", "docs/**/*.py"] +include = ["src/**/*.py", "tests/**/*.py", "docs/**/*.py"] [tool.ruff.lint] extend-select = ["Q", "RUF100", "C90", "UP", "I", "D"] flake8-quotes = { inline-quotes = "single", multiline-quotes = "double" } -isort = { combine-as-imports = true, known-first-party = ["qpyconf"] } +isort = { combine-as-imports = true, known-first-party = ["src"] } mccabe = { max-complexity = 15 } ignore = [ "D100", # ignore missing docstring in module @@ -81,7 +118,7 @@ quote-style = "single" [tool.ruff.lint.per-file-ignores] "tests/**/*.py" = ["D"] "docs/**/*.py" = ["D"] -"src/qpyconf/**/*.py" = ["D101", "D103"] +"src/**/*.py" = ["D101", "D103"] [tool.pytest.ini_options] @@ -96,7 +133,7 @@ addopts = [ "--durations", "0", "--cov", - "qpyconf", + "qpycases" ] log_cli = true log_cli_level = "info" diff --git a/appkits/qpyapp/src/qpyapp/ai/__init__.py b/appkits/qpyapp/src/qpyapp/ai/__init__.py new file mode 100644 index 0000000..57885a6 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/__init__.py @@ -0,0 +1,10 @@ +from importlib.metadata import version + +try: + __version__ = version("ai-gradio") +except Exception: + __version__ = "unknown" + +from .providers import registry + +__all__ = ["registry"] \ No newline at end of file diff --git a/appkits/qpyapp/src/qpyapp/ai/providers/__init__.py b/appkits/qpyapp/src/qpyapp/ai/providers/__init__.py new file mode 100644 index 0000000..66ca281 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/providers/__init__.py @@ -0,0 +1,264 @@ +import gradio as gr + +def custom_load(name: str, src: dict, **kwargs): + # Split name into provider and model if specified + if ':' in name: + provider, model = name.split(':') + else: + provider = 'openai' # Default to OpenAI if no provider specified + model = name + + # Create provider-specific model key + model_key = f"{provider}:{model}" + + if model_key not in src: + available_models = [k for k in src.keys()] + raise ValueError(f"Model {model_key} not found. Available models: {available_models}") + return src[model_key](name=model, **kwargs) + +# Add the custom load function to gradio +gr.load = custom_load + +registry = {} + +try: + from .openai_gradio import registry as openai_registry + registry.update({f"openai:{k}": openai_registry for k in [ + "gpt-4o-2024-11-20", + "gpt-4o", + "gpt-4o-2024-08-06", + "gpt-4o-2024-05-13", + "chatgpt-4o-latest", + "gpt-4o-mini", + "gpt-4o-mini-2024-07-18", + "o1-preview", + "o1-preview-2024-09-12", + "o1-mini", + "o1-mini-2024-09-12", + "gpt-4-turbo", + "gpt-4-turbo-2024-04-09", + "gpt-4-turbo-preview", + "gpt-4-0125-preview", + "gpt-4-1106-preview", + "gpt-4", + "gpt-4-0613", + "o1-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-realtime-preview", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-mini-realtime-preview", + "gpt-4o-mini-realtime-preview-2024-12-17", + ]}) +except ImportError: + pass + +try: + from .gemini_gradio import registry as gemini_registry + registry.update({f"gemini:{k}": gemini_registry for k in [ + 'gemini-1.5-flash', + 'gemini-1.5-flash-8b', + 'gemini-1.5-pro', + 'gemini-exp-1114', + 'gemini-exp-1121', + 'gemini-exp-1206', + 'gemini-2.0-flash-exp', + 'gemini-2.0-flash-thinking-exp-1219' + ]}) +except ImportError: + pass + +try: + from .crewai_gradio import registry as crewai_registry + # Add CrewAI models with their own prefix + registry.update({f"crewai:{k}": crewai_registry for k in ['gpt-4-turbo', 'gpt-4', 'gpt-3.5-turbo']}) +except ImportError: + pass + +try: + from .anthropic_gradio import registry as anthropic_registry + registry.update({f"anthropic:{k}": anthropic_registry for k in [ + 'claude-3-5-sonnet-20241022', + 'claude-3-5-haiku-20241022', + 'claude-3-opus-20240229', + 'claude-3-sonnet-20240229', + 'claude-3-haiku-20240307', + ]}) +except ImportError: + pass + +try: + from .lumaai_gradio import registry as lumaai_registry + registry.update({f"lumaai:{k}": lumaai_registry for k in [ + 'dream-machine', + 'photon-1', + 'photon-flash-1' + ]}) +except ImportError: + pass + +try: + from .xai_gradio import registry as xai_registry + registry.update({f"xai:{k}": xai_registry for k in [ + 'grok-beta', + 'grok-vision-beta' + ]}) +except ImportError: + pass + +try: + from .cohere_gradio import registry as cohere_registry + registry.update({f"cohere:{k}": cohere_registry for k in [ + 'command-r7b-12-2024', + 'command-light', + 'command-nightly', + 'command-light-nightly' + ]}) +except ImportError: + pass + +try: + from .sambanova_gradio import registry as sambanova_registry + registry.update({f"sambanova:{k}": sambanova_registry for k in [ + 'Meta-Llama-3.1-405B-Instruct', + 'Meta-Llama-3.1-8B-Instruct', + 'Meta-Llama-3.1-70B-Instruct', + 'Meta-Llama-3.1-405B-Instruct-Preview', + 'Meta-Llama-3.1-8B-Instruct-Preview', + 'Meta-Llama-3.3-70B-Instruct', + 'Meta-Llama-3.2-3B-Instruct', + ]}) +except ImportError: + pass + +try: + from .hyperbolic_gradio import registry as hyperbolic_registry + registry.update({f"hyperbolic:{k}": hyperbolic_registry for k in [ + 'Qwen/Qwen2.5-Coder-32B-Instruct', + 'meta-llama/Llama-3.2-3B-Instruct', + 'meta-llama/Meta-Llama-3.1-8B-Instruct', + 'meta-llama/Meta-Llama-3.1-70B-Instruct', + 'meta-llama/Meta-Llama-3-70B-Instruct', + 'NousResearch/Hermes-3-Llama-3.1-70B', + 'Qwen/Qwen2.5-72B-Instruct', + 'deepseek-ai/DeepSeek-V2.5', + 'meta-llama/Meta-Llama-3.1-405B-Instruct', + 'Qwen/QwQ-32B-Preview', + 'meta-llama/Llama-3.3-70B-Instruct', + 'deepseek-ai/DeepSeek-V3' + ]}) +except ImportError: + pass + +try: + from .qwen_gradio import registry as qwen_registry + registry.update({f"qwen:{k}": qwen_registry for k in [ + "qwen-turbo-latest", + "qwen-turbo", + "qwen-plus", + "qwen-max", + "qwen1.5-110b-chat", + "qwen1.5-72b-chat", + "qwen1.5-32b-chat", + "qwen1.5-14b-chat", + "qwen1.5-7b-chat", + "qwq-32b-preview", + 'qvq-72b-preview' + ]}) +except ImportError: + pass + +try: + from .fireworks_gradio import registry as fireworks_registry + registry.update({f"fireworks:{k}": fireworks_registry for k in [ + 'whisper-v3', + 'whisper-v3-turbo', + 'f1-preview', + 'f1-mini' + ]}) +except ImportError: + pass + +try: + from .together_gradio import registry as together_registry + registry.update({f"together:{k}": together_registry for k in [ + # Vision Models + 'meta-llama/Llama-Vision-Free', + 'meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo', + 'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo', + + # Llama 3 Series + 'meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo', + 'meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo', + 'meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo', + 'meta-llama/Meta-Llama-3-8B-Instruct-Turbo', + 'meta-llama/Meta-Llama-3-70B-Instruct-Turbo', + 'meta-llama/Llama-3.2-3B-Instruct-Turbo', + 'meta-llama/Meta-Llama-3-8B-Instruct-Lite', + 'meta-llama/Meta-Llama-3-70B-Instruct-Lite', + 'meta-llama/Llama-3-8b-chat-hf', + 'meta-llama/Llama-3-70b-chat-hf', + 'meta-llama/Llama-3.3-70B-Instruct-Turbo', + + # Other Large Models + 'nvidia/Llama-3.1-Nemotron-70B-Instruct-HF', + 'Qwen/Qwen2.5-Coder-32B-Instruct', + 'microsoft/WizardLM-2-8x22B', + 'databricks/dbrx-instruct', + + # Gemma Models + 'google/gemma-2-27b-it', + 'google/gemma-2-9b-it', + 'google/gemma-2b-it', + + # Mixtral Models + 'mistralai/Mixtral-8x7B-Instruct-v0.1', + 'mistralai/Mixtral-8x22B-Instruct-v0.1', + + # Qwen Models + 'Qwen/Qwen2.5-7B-Instruct-Turbo', + 'Qwen/Qwen2.5-72B-Instruct-Turbo', + 'Qwen/Qwen2-72B-Instruct', + + # Other Models + 'deepseek-ai/deepseek-llm-67b-chat', + 'Gryphe/MythoMax-L2-13b', + 'meta-llama/Llama-2-13b-chat-hf', + 'mistralai/Mistral-7B-Instruct-v0.1', + 'mistralai/Mistral-7B-Instruct-v0.2', + 'mistralai/Mistral-7B-Instruct-v0.3', + 'NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO', + 'togethercomputer/StripedHyena-Nous-7B', + 'upstage/SOLAR-10.7B-Instruct-v1.0' + ]}) +except ImportError: + pass + +try: + from .deepseek_gradio import registry as deepseek_registry + registry.update({f"deepseek:{k}": deepseek_registry for k in [ + 'deepseek-chat', + 'deepseek-coder', + 'deepseek-vision' + ]}) +except ImportError: + pass + +if not registry: + raise ImportError( + "No providers installed. Install with either:\n" + "pip install 'ai-gradio[openai]' for OpenAI support\n" + "pip install 'ai-gradio[gemini]' for Gemini support\n" + "pip install 'ai-gradio[crewai]' for CrewAI support\n" + "pip install 'ai-gradio[anthropic]' for Anthropic support\n" + "pip install 'ai-gradio[lumaai]' for LumaAI support\n" + "pip install 'ai-gradio[xai]' for X.AI support\n" + "pip install 'ai-gradio[cohere]' for Cohere support\n" + "pip install 'ai-gradio[sambanova]' for SambaNova support\n" + "pip install 'ai-gradio[hyperbolic]' for Hyperbolic support\n" + "pip install 'ai-gradio[qwen]' for Qwen support\n" + "pip install 'ai-gradio[fireworks]' for Fireworks support\n" + "pip install 'ai-gradio[deepseek]' for DeepSeek support\n" + "pip install 'ai-gradio[all]' for all providers" + ) + +__all__ = ["registry"] diff --git a/appkits/qpyapp/src/qpyapp/ai/providers/anthropic_gradio.py b/appkits/qpyapp/src/qpyapp/ai/providers/anthropic_gradio.py new file mode 100644 index 0000000..70fe127 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/providers/anthropic_gradio.py @@ -0,0 +1,76 @@ +import os +import anthropic +import gradio as gr +from typing import Callable + +__version__ = "0.0.1" + + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + def fn(message, history): + inputs = preprocess(message, history) + client = anthropic.Anthropic(api_key=api_key) + with client.messages.stream( + model=model_name, + max_tokens=1000, + messages=inputs["messages"] + ) as stream: + response_text = "" + for chunk in stream: + if chunk.type == "content_block_delta": + delta = chunk.delta.text + response_text += delta + yield postprocess(response_text) + + return fn + + +def get_interface_args(pipeline): + if pipeline == "chat": + inputs = None + outputs = None + + def preprocess(message, history): + messages = [] + for user_msg, assistant_msg in history: + messages.append({"role": "user", "content": [{"type": "text", "text": user_msg}]}) + messages.append({"role": "assistant", "content": [{"type": "text", "text": assistant_msg}]}) + messages.append({"role": "user", "content": [{"type": "text", "text": message}]}) + return {"messages": messages} + + postprocess = lambda x: x # No post-processing needed + else: + # Add other pipeline types when they will be needed + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Determine the pipeline type based on the model name + # For simplicity, assuming all models are chat models at the moment + return "chat" + + +def registry(name: str, token: str | None = None, **kwargs): + """ + Create a Gradio Interface for a model on Anthropic. + + Parameters: + - name (str): The name of the Anthropic model. + - token (str, optional): The API key for Anthropic. + """ + api_key = token or os.environ.get("ANTHROPIC_API_KEY") + if not api_key: + raise ValueError("ANTHROPIC_API_KEY environment variable is not set.") + + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(name, preprocess, postprocess, api_key) + + if pipeline == "chat": + interface = gr.ChatInterface(fn=fn, **kwargs) + else: + # For other pipelines, create a standard Interface (not implemented yet) + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/appkits/qpyapp/src/qpyapp/ai/providers/cohere_gradio.py b/appkits/qpyapp/src/qpyapp/ai/providers/cohere_gradio.py new file mode 100644 index 0000000..9bb988f --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/providers/cohere_gradio.py @@ -0,0 +1,122 @@ +from __future__ import annotations + +import os +import cohere +import gradio as gr +from typing import Callable +import base64 + +__version__ = "0.0.3" + + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + def fn(message, history): + inputs = preprocess(message, history) + client = cohere.Client(api_key=api_key) + stream = client.chat_stream( + model=model_name, + message=inputs["message"], + chat_history=inputs["chat_history"], + ) + response_text = "" + for chunk in stream: + if chunk.event_type == "text-generation": + delta = chunk.text + response_text += delta + yield postprocess(response_text) + + return fn + + +def get_image_base64(url: str, ext: str): + with open(url, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + return "data:image/" + ext + ";base64," + encoded_string + + +def handle_user_msg(message: str): + if type(message) is str: + return message + elif type(message) is dict: + if message["files"] is not None and len(message["files"]) > 0: + ext = os.path.splitext(message["files"][-1])[1].strip(".") + if ext.lower() in ["png", "jpg", "jpeg", "gif", "pdf"]: + encoded_str = get_image_base64(message["files"][-1], ext) + else: + raise NotImplementedError(f"Not supported file type {ext}") + return { + "message": message["text"], + "attachments": [ + { + "source": encoded_str, + "type": "image", + } + ] + } + else: + return message["text"] + else: + raise NotImplementedError + + +def get_interface_args(pipeline): + if pipeline == "chat": + inputs = None + outputs = None + + def preprocess(message, history): + chat_history = [] + files = None + for user_msg, assistant_msg in history: + if assistant_msg is not None: + chat_history.append({"role": "USER", "message": handle_user_msg(user_msg)}) + chat_history.append({"role": "ASSISTANT", "message": assistant_msg}) + else: + files = user_msg + if type(message) is str and files is not None: + message = {"text": message, "files": files} + elif type(message) is dict and files is not None: + if message["files"] is None or len(message["files"]) == 0: + message["files"] = files + + return { + "message": handle_user_msg(message), + "chat_history": chat_history + } + + postprocess = lambda x: x + else: + # Add other pipeline types when they will be needed + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Determine the pipeline type based on the model name + # For simplicity, assuming all models are chat models at the moment + return "chat" + + +def registry(name: str, token: str | None = None, **kwargs): + """ + Create a Gradio Interface for a model on Cohere. + + Parameters: + - name (str): The name of the Cohere model. + - token (str, optional): The API key for Cohere. + """ + api_key = token or os.environ.get("COHERE_API_KEY") + if not api_key: + raise ValueError("COHERE_API_KEY environment variable is not set.") + + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(name, preprocess, postprocess, api_key) + + if pipeline == "chat": + interface = gr.ChatInterface(fn=fn, multimodal=True, **kwargs) + else: + # For other pipelines, create a standard Interface (not implemented yet) + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/appkits/qpyapp/src/qpyapp/ai/providers/crewai_gradio.py b/appkits/qpyapp/src/qpyapp/ai/providers/crewai_gradio.py new file mode 100644 index 0000000..b7aa679 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/providers/crewai_gradio.py @@ -0,0 +1,368 @@ +import os +from typing import List, Dict, Generator +import gradio as gr +from crewai import Agent, Task, Crew +from crewai_tools import ScrapeWebsiteTool +import queue +import threading +import asyncio + + +class MessageQueue: + def __init__(self): + self.message_queue = queue.Queue() + self.last_agent = None + + def add_message(self, message: Dict): + print(f"Adding message to queue: {message}") + self.message_queue.put(message) + + def get_messages(self) -> List[Dict]: + messages = [] + while not self.message_queue.empty(): + messages.append(self.message_queue.get()) + return messages + + +class CrewFactory: + @staticmethod + def create_crew_config(crew_type: str, topic: str) -> dict: + configs = { + "article": { + "agents": [ + { + "role": "Content Planner", + "goal": f"Plan engaging and factually accurate content on {topic}", + "backstory": "Expert content planner with focus on creating engaging outlines", + "tasks": [ + """Create a detailed content plan for an article by: + 1. Prioritizing the latest trends and key players + 2. Identifying the target audience + 3. Developing a detailed content outline + 4. Including SEO keywords and sources""" + ] + }, + { + "role": "Content Writer", + "goal": f"Write insightful piece about {topic}", + "backstory": "Expert content writer with focus on engaging articles", + "tasks": [ + """1. Use the content plan to craft a compelling blog post + 2. Incorporate SEO keywords naturally + 3. Create proper structure with introduction, body, and conclusion""" + ] + }, + { + "role": "Editor", + "goal": "Polish and refine the content", + "backstory": "Expert editor with eye for detail and clarity", + "tasks": [ + """1. Review for clarity and coherence + 2. Correct any errors + 3. Ensure consistent tone and style""" + ] + } + ] + }, + "support": { + "agents": [ + { + "role": "Senior Support Representative", + "goal": "Be the most helpful support representative", + "backstory": "Expert at analyzing questions and providing support", + "tasks": [ + f"""Analyze this inquiry thoroughly: {topic} + Provide detailed support response.""" + ] + }, + { + "role": "Support Quality Assurance", + "goal": "Ensure highest quality of support responses", + "backstory": "Expert at reviewing and improving support responses", + "tasks": [ + """Review and improve the support response to ensure it's: + 1. Comprehensive and helpful + 2. Properly formatted with clear structure""" + ] + } + ] + } + } + return configs.get(crew_type, configs["article"]) + + +class CrewManager: + def __init__(self, api_key: str = None): + self.api_key = api_key + self.message_queue = MessageQueue() + self.agents = [] + self.current_agent = None + self.scrape_tool = None + + def initialize_agents(self, crew_type: str, topic: str, website_url: str = None): + if not self.api_key: + raise ValueError("OpenAI API key is required") + + os.environ["OPENAI_API_KEY"] = self.api_key + if website_url: + self.scrape_tool = ScrapeWebsiteTool(website_url=website_url) + + # Get crew configuration + config = CrewFactory.create_crew_config(crew_type, topic) + + # Initialize agents from configuration + self.agents = [] + for agent_config in config["agents"]: + agent = Agent( + role=agent_config["role"], + goal=agent_config["goal"], + backstory=agent_config["backstory"], + allow_delegation=False, + verbose=True + ) + self.agents.append((agent, agent_config["tasks"])) + + def create_tasks(self, topic: str) -> List[Task]: + tasks = [] + for agent, task_descriptions in self.agents: + for task_desc in task_descriptions: + task = Task( + description=task_desc, + expected_output="Detailed and well-formatted response", + agent=agent, + tools=[self.scrape_tool] if self.scrape_tool else [] + ) + tasks.append(task) + return tasks + + async def process_support(self, inquiry: str, website_url: str, crew_type: str) -> Generator[ + List[Dict], None, None]: + def add_agent_messages(agent_name: str, tasks: str, emoji: str = "🤖"): + self.message_queue.add_message({ + "role": "assistant", + "content": agent_name, + "metadata": {"title": f"{emoji} {agent_name}"} + }) + + self.message_queue.add_message({ + "role": "assistant", + "content": tasks, + "metadata": {"title": f"📋 Task for {agent_name}"} + }) + + def setup_next_agent(current_agent: str): + if crew_type == "support": + if current_agent == "Senior Support Representative": + self.current_agent = "Support Quality Assurance Specialist" + add_agent_messages( + "Support Quality Assurance Specialist", + "Review and improve the support response" + ) + elif crew_type == "article": + if current_agent == "Content Planner": + self.current_agent = "Content Writer" + add_agent_messages( + "Content Writer", + "Write the article based on the content plan" + ) + elif current_agent == "Content Writer": + self.current_agent = "Editor" + add_agent_messages( + "Editor", + "Review and polish the article" + ) + + def task_callback(task_output): + raw_output = task_output.raw + if "## Final Answer:" in raw_output: + content = raw_output.split("## Final Answer:")[1].strip() + else: + content = raw_output.strip() + + if self.current_agent == "Support Quality Assurance Specialist": + self.message_queue.add_message({ + "role": "assistant", + "content": "Final response is ready!", + "metadata": {"title": "✅ Final Response"} + }) + + formatted_content = content + formatted_content = formatted_content.replace("\n#", "\n\n#") + formatted_content = formatted_content.replace("\n-", "\n\n-") + formatted_content = formatted_content.replace("\n*", "\n\n*") + formatted_content = formatted_content.replace("\n1.", "\n\n1.") + formatted_content = formatted_content.replace("\n\n\n", "\n\n") + + self.message_queue.add_message({ + "role": "assistant", + "content": formatted_content + }) + else: + self.message_queue.add_message({ + "role": "assistant", + "content": content, + "metadata": {"title": f"✨ Output from {self.current_agent}"} + }) + setup_next_agent(self.current_agent) + + try: + self.initialize_agents(crew_type, inquiry, website_url) + # Set initial agent based on crew type + self.current_agent = "Senior Support Representative" if crew_type == "support" else "Content Planner" + + yield [{ + "role": "assistant", + "content": "Starting to process your inquiry...", + "metadata": {"title": "🚀 Process Started"} + }] + + # Set initial task message based on crew type + if crew_type == "support": + add_agent_messages( + "Senior Support Representative", + "Analyze inquiry and provide comprehensive support" + ) + else: + add_agent_messages( + "Content Planner", + "Create a detailed content plan for the article" + ) + + crew = Crew( + agents=[agent for agent, _ in self.agents], + tasks=self.create_tasks(inquiry), + verbose=True, + task_callback=task_callback + ) + + def run_crew(): + try: + crew.kickoff() + except Exception as e: + print(f"Error in crew execution: {str(e)}") + self.message_queue.add_message({ + "role": "assistant", + "content": f"Error: {str(e)}", + "metadata": {"title": "❌ Error"} + }) + + thread = threading.Thread(target=run_crew) + thread.start() + + while thread.is_alive() or not self.message_queue.message_queue.empty(): + messages = self.message_queue.get_messages() + if messages: + yield messages + await asyncio.sleep(0.1) + + except Exception as e: + print(f"Error in process_support: {str(e)}") + yield [{ + "role": "assistant", + "content": f"An error occurred: {str(e)}", + "metadata": {"title": "❌ Error"} + }] + + +def registry(name: str, token: str | None = None, crew_type: str = "support", **kwargs): + default_api_key = os.environ.get("OPENAI_API_KEY") + crew_manager = None + + with gr.Blocks(theme=gr.themes.Soft()) as demo: + title = "📝 AI Article Writing Crew" if crew_type == "article" else "🤖 CrewAI Assistant" + gr.Markdown(f"# {title}") + + api_key = gr.Textbox( + label="OpenAI API Key", + type="password", + placeholder="Type your OpenAI API key and press Enter...", + interactive=True, + visible=not (token or default_api_key) + ) + + chatbot = gr.Chatbot( + label="Writing Process" if crew_type == "article" else "Process", + height=700 if crew_type == "article" else 600, + show_label=True, + visible=token or default_api_key, + avatar_images=(None, "https://avatars.githubusercontent.com/u/170677839?v=4"), + render_markdown=True, + type="messages" + ) + + with gr.Row(equal_height=True): + topic = gr.Textbox( + label="Article Topic" if crew_type == "article" else "Topic/Question", + placeholder="Enter topic..." if crew_type == "article" else "Enter your question...", + scale=4, + visible=token or default_api_key + ) + website_url = gr.Textbox( + label="Documentation URL", + placeholder="Enter documentation URL to search...", + scale=4, + visible=(token or default_api_key) and crew_type == "support" + ) + btn = gr.Button( + "Write Article" if crew_type == "article" else "Start", + variant="primary", + scale=1, + visible=token or default_api_key + ) + + async def process_input(topic, website_url, history, api_key): + nonlocal crew_manager + effective_api_key = token or api_key or default_api_key + + if not effective_api_key: + yield [ + {"role": "user", "content": f"Question: {topic}\nDocumentation: {website_url}"}, + {"role": "assistant", "content": "Please provide an OpenAI API key."} + ] + return # Early return without value + + if crew_manager is None: + crew_manager = CrewManager(api_key=effective_api_key) + + messages = [{"role": "user", "content": f"Question: {topic}\nDocumentation: {website_url}"}] + yield messages + + try: + async for new_messages in crew_manager.process_support(topic, website_url, crew_type): + for msg in new_messages: + if "metadata" in msg: + messages.append({ + "role": msg["role"], + "content": msg["content"], + "metadata": {"title": msg["metadata"]["title"]} + }) + else: + messages.append({ + "role": msg["role"], + "content": msg["content"] + }) + yield messages + except Exception as e: + messages.append({ + "role": "assistant", + "content": f"An error occurred: {str(e)}", + "metadata": {"title": "❌ Error"} + }) + yield messages + + def show_interface(): + return { + api_key: gr.Textbox(visible=False), + chatbot: gr.Chatbot(visible=True), + topic: gr.Textbox(visible=True), + website_url: gr.Textbox(visible=True), + btn: gr.Button(visible=True) + } + + if not (token or default_api_key): + api_key.submit(show_interface, None, [api_key, chatbot, topic, website_url, btn]) + + btn.click(process_input, [topic, website_url, chatbot, api_key], [chatbot]) + topic.submit(process_input, [topic, website_url, chatbot, api_key], [chatbot]) + + return demo diff --git a/appkits/qpyapp/src/qpyapp/ai/providers/deepseek_gradio.py b/appkits/qpyapp/src/qpyapp/ai/providers/deepseek_gradio.py new file mode 100644 index 0000000..360c3b4 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/providers/deepseek_gradio.py @@ -0,0 +1,122 @@ +from __future__ import annotations + +import os +import base64 +from openai import OpenAI +import gradio as gr +from typing import Callable + +__version__ = "0.0.1" + +def get_image_base64(url: str, ext: str): + with open(url, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + return "data:image/" + ext + ";base64," + encoded_string + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + def fn(message, history): + inputs = preprocess(message, history) + client = OpenAI( + base_url="https://api.deepseek.com", + api_key=api_key, + ) + try: + completion = client.chat.completions.create( + model="deepseek-chat", + messages=inputs["messages"], + stream=True, + ) + response_text = "" + for chunk in completion: + delta = chunk.choices[0].delta.content or "" + response_text += delta + yield postprocess(response_text) + except Exception as e: + error_message = f"Error: {str(e)}" + return error_message + + return fn + +def handle_user_msg(message: str): + if type(message) is str: + return message + elif type(message) is dict: + if message["files"] is not None and len(message["files"]) > 0: + ext = os.path.splitext(message["files"][-1])[1].strip(".") + if ext.lower() in ["png", "jpg", "jpeg", "gif", "pdf"]: + encoded_str = get_image_base64(message["files"][-1], ext) + else: + raise NotImplementedError(f"Not supported file type {ext}") + content = [ + {"type": "text", "text": message["text"]}, + { + "type": "image_url", + "image_url": { + "url": encoded_str, + } + }, + ] + else: + content = message["text"] + return content + else: + raise NotImplementedError + +def get_interface_args(pipeline): + if pipeline == "chat": + inputs = None + outputs = None + + def preprocess(message, history): + messages = [] + files = None + for user_msg, assistant_msg in history: + if assistant_msg is not None: + messages.append({"role": "user", "content": handle_user_msg(user_msg)}) + messages.append({"role": "assistant", "content": assistant_msg}) + else: + files = user_msg + if type(message) is str and files is not None: + message = {"text":message, "files":files} + elif type(message) is dict and files is not None: + if message["files"] is None or len(message["files"]) == 0: + message["files"] = files + messages.append({"role": "user", "content": handle_user_msg(message)}) + return {"messages": messages} + + postprocess = lambda x: x # No post-processing needed + else: + # Add other pipeline types when they will be needed + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Determine the pipeline type based on the model name + # For simplicity, assuming all models are chat models at the moment + return "chat" + + +def registry(name: str, token: str | None = None, **kwargs): + """ + Create a Gradio Interface for a model on DeepSeek. + + Parameters: + - name (str): The name of the model on DeepSeek. + - token (str, optional): The API key for DeepSeek. + """ + api_key = token or os.environ.get("DEEPSEEK_API_KEY") + if not api_key: + raise ValueError("DEEPSEEK_API_KEY environment variable is not set.") + + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(name, preprocess, postprocess, api_key) + + if pipeline == "chat": + interface = gr.ChatInterface(fn=fn, **kwargs) + else: + # For other pipelines, create a standard Interface (not implemented yet) + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/appkits/qpyapp/src/qpyapp/ai/providers/fireworks_gradio.py b/appkits/qpyapp/src/qpyapp/ai/providers/fireworks_gradio.py new file mode 100644 index 0000000..d17de0c --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/providers/fireworks_gradio.py @@ -0,0 +1,257 @@ +import os +from openai import OpenAI +import gradio as gr +from typing import Callable +from fireworks.client.audio import AudioInference + +__version__ = "0.0.3" + +LANGUAGES = { + "en": "english", "zh": "chinese", "de": "german", "es": "spanish", + "ru": "russian", "ko": "korean", "fr": "french", "ja": "japanese", + "pt": "portuguese", "tr": "turkish", "pl": "polish", "ca": "catalan", + "nl": "dutch", "ar": "arabic", "sv": "swedish", "it": "italian", + "id": "indonesian", "hi": "hindi", "fi": "finnish", "vi": "vietnamese", + "he": "hebrew", "uk": "ukrainian", "el": "greek", "ms": "malay", + "cs": "czech", "ro": "romanian", "da": "danish", "hu": "hungarian", + "ta": "tamil", "no": "norwegian", "th": "thai", "ur": "urdu", + "hr": "croatian", "bg": "bulgarian", "lt": "lithuanian", "la": "latin", + "mi": "maori", "ml": "malayalam", "cy": "welsh", "sk": "slovak", + "te": "telugu", "fa": "persian", "lv": "latvian", "bn": "bengali", + "sr": "serbian", "az": "azerbaijani", "sl": "slovenian", "kn": "kannada", + "et": "estonian", "mk": "macedonian", "br": "breton", "eu": "basque", + "is": "icelandic", "hy": "armenian", "ne": "nepali", "mn": "mongolian", + "bs": "bosnian", "kk": "kazakh", "sq": "albanian", "sw": "swahili", + "gl": "galician", "mr": "marathi", "pa": "punjabi", "si": "sinhala", + "km": "khmer", "sn": "shona", "yo": "yoruba", "so": "somali", + "af": "afrikaans", "oc": "occitan", "ka": "georgian", "be": "belarusian", + "tg": "tajik", "sd": "sindhi", "gu": "gujarati", "am": "amharic", + "yi": "yiddish", "lo": "lao", "uz": "uzbek", "fo": "faroese", + "ht": "haitian creole", "ps": "pashto", "tk": "turkmen", "nn": "nynorsk", + "mt": "maltese", "sa": "sanskrit", "lb": "luxembourgish", "my": "myanmar", + "bo": "tibetan", "tl": "tagalog", "mg": "malagasy", "as": "assamese", + "tt": "tatar", "haw": "hawaiian", "ln": "lingala", "ha": "hausa", + "ba": "bashkir", "jw": "javanese", "su": "sundanese", "yue": "cantonese" +} + +# Language code lookup by name, with additional aliases +TO_LANGUAGE_CODE = { + **{language: code for code, language in LANGUAGES.items()}, + "burmese": "my", + "valencian": "ca", + "flemish": "nl", + "haitian": "ht", + "letzeburgesch": "lb", + "pushto": "ps", + "panjabi": "pa", + "moldavian": "ro", + "moldovan": "ro", + "sinhalese": "si", + "castilian": "es", + "mandarin": "zh" +} + + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + if "whisper" in model_name: + def fn(message, history, audio_input=None): + # Handle audio input if provided + if audio_input: + if not audio_input.endswith('.wav'): + new_path = audio_input + '.wav' + os.rename(audio_input, new_path) + audio_input = new_path + + base_url = ( + "https://audio-turbo.us-virginia-1.direct.fireworks.ai" + if model_name == "whisper-v3-turbo" + else "https://audio-prod.us-virginia-1.direct.fireworks.ai" + ) + + client = AudioInference( + model=model_name, + base_url=base_url, + api_key=api_key + ) + + with open(audio_input, "rb") as f: + audio_data = f.read() + response = client.transcribe(audio=audio_data) + return {"role": "assistant", "content": response.text} + + # Handle text message + if isinstance(message, dict): # Multimodal input + audio_path = message.get("files", [None])[0] or message.get("audio") + text = message.get("text", "") + if audio_path: + # Process audio file + return fn(None, history, audio_path) + return {"role": "assistant", "content": "No audio input provided."} + else: # String input + return {"role": "assistant", "content": "Please upload an audio file or use the microphone to record audio."} + + else: + def fn(message, history, audio_input=None): + # Ignore audio_input for non-whisper models + inputs = preprocess(message, history) + client = OpenAI( + base_url="https://api.fireworks.ai/inference/v1", + api_key=api_key + ) + + model_path = ( + "accounts/fireworks/agents/f1-preview" if model_name == "f1-preview" + else "accounts/fireworks/agents/f1-mini-preview" if model_name == "f1-mini" + else f"accounts/fireworks/models/{model_name}" + ) + + completion = client.chat.completions.create( + model=model_path, + messages=[{"role": "user", "content": inputs["prompt"]}], + stream=True, + max_tokens=1024, + temperature=0.7, + top_p=1, + ) + + response_text = "" + for chunk in completion: + delta = chunk.choices[0].delta.content or "" + response_text += delta + yield {"role": "assistant", "content": response_text} + + return fn + + +def get_interface_args(pipeline): + if pipeline == "audio": + inputs = [ + gr.Audio(sources=["microphone"], type="filepath"), + gr.Radio(["transcribe"], label="Task", value="transcribe"), + ] + outputs = "text" + + def preprocess(audio_path, task, text, history): + if audio_path and not audio_path.endswith('.wav'): + new_path = audio_path + '.wav' + os.rename(audio_path, new_path) + audio_path = new_path + return {"role": "user", "content": {"audio_path": audio_path, "task": task}} + + def postprocess(text): + return {"role": "assistant", "content": text} + + elif pipeline == "chat": + inputs = gr.Textbox(label="Message") + outputs = "text" + + def preprocess(message, history): + return {"prompt": message} + + def postprocess(response): + return response + + else: + raise ValueError(f"Unsupported pipeline type: {pipeline}") + + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + if "whisper" in model_name: + return "audio" + return "chat" + + +def registry(name: str, token: str | None = None, **kwargs): + """ + Create a Gradio Interface for a model on Fireworks. + Can be used directly or with gr.load: + + Example: + # Direct usage + interface = fireworks_gradio.registry("whisper-v3", token="your-api-key") + interface.launch() + + # With gr.load + gr.load( + name='whisper-v3', + src=fireworks_gradio.registry, + ).launch() + + Parameters: + name (str): The name of the OpenAI model. + token (str, optional): The API key for OpenAI. + """ + # Make the function compatible with gr.load by accepting name as a positional argument + if not isinstance(name, str): + raise ValueError("Model name must be a string") + + api_key = token or os.environ.get("FIREWORKS_API_KEY") + if not api_key: + raise ValueError("FIREWORKS_API_KEY environment variable is not set.") + + pipeline = get_pipeline(name) + _, _, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(name, preprocess, postprocess, api_key) + + description = kwargs.pop("description", None) + if "whisper" in name: + description = (description or "") + """ + \n\nSupported inputs: + - Upload audio files using the textbox + - Record audio using the microphone + """ + + with gr.Blocks() as interface: + chatbot = gr.Chatbot(type="messages") + with gr.Row(): + mic = gr.Audio(sources=["microphone"], type="filepath", label="Record Audio") + + def process_audio(audio_path): + if audio_path: + if not audio_path.endswith('.wav'): + new_path = audio_path + '.wav' + os.rename(audio_path, new_path) + audio_path = new_path + + # Create message format expected by fn + message = {"files": [audio_path], "text": ""} + response = fn(message, []) + + return [ + {"role": "user", "content": gr.Audio(value=audio_path)}, + {"role": "assistant", "content": response["content"]} + ] + return [] + + mic.change( + fn=process_audio, + inputs=[mic], + outputs=[chatbot] + ) + + else: + # For non-whisper models, use regular ChatInterface + interface = gr.ChatInterface( + fn=fn, + type="messages", + description=description, + **kwargs + ) + + return interface + + +# Add these to make the module more discoverable +MODELS = [ + "whisper-v3", + "whisper-v3-turbo", + "f1-preview", + "f1-mini", + # Add other supported models here +] + +def get_all_models(): + """Returns a list of all supported models.""" + return MODELS \ No newline at end of file diff --git a/appkits/qpyapp/src/qpyapp/ai/providers/gemini_gradio.py b/appkits/qpyapp/src/qpyapp/ai/providers/gemini_gradio.py new file mode 100644 index 0000000..c57946d --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/providers/gemini_gradio.py @@ -0,0 +1,760 @@ +import os +from typing import Callable +import gradio as gr +import google.generativeai as genai +import base64 +import json +import numpy as np +import websockets.sync.client +from gradio_webrtc import StreamHandler, WebRTC, get_twilio_turn_credentials +import cv2 +import PIL.Image +import io +import re +import modelscope_studio.components.base as ms +import modelscope_studio.components.legacy as legacy +import modelscope_studio.components.antd as antd + + +__version__ = "0.0.3" + +# Constants for coder interface +SystemPrompt = """You are an expert web developer specializing in creating clean, efficient, and modern web applications. +Your task is to write complete, self-contained HTML files that include all necessary CSS and JavaScript. +Focus on: +- Writing clear, maintainable code +- Following best practices +- Creating responsive designs +- Adding appropriate styling and interactivity +Return only the complete HTML code without any additional explanation.""" + +DEMO_LIST = [ + { + "card": {"index": 0}, + "title": "Simple Button", + "description": "Create a button that changes color when clicked" + }, + { + "card": {"index": 1}, + "title": "Todo List", + "description": "Create a simple todo list with add/remove functionality" + }, + { + "card": {"index": 2}, + "title": "Timer App", + "description": "Create a countdown timer with start/pause/reset controls" + } +] + + +class GeminiConfig: + def __init__(self): + self.api_key = os.getenv("GEMINI_API_KEY") + self.host = "generativelanguage.googleapis.com" + self.model = "models/gemini-2.0-flash-exp" + self.ws_url = f"wss://{self.host}/ws/google.ai.generativelanguage.v1alpha.GenerativeService.BidiGenerateContent?key={self.api_key}" + + +class AudioProcessor: + @staticmethod + def encode_audio(data, sample_rate): + encoded = base64.b64encode(data.tobytes()).decode("UTF-8") + return { + "realtimeInput": { + "mediaChunks": [ + { + "mimeType": f"audio/pcm;rate={sample_rate}", + "data": encoded, + } + ], + }, + } + + @staticmethod + def process_audio_response(data): + audio_data = base64.b64decode(data) + return np.frombuffer(audio_data, dtype=np.int16) + + +def detection(frame, conf_threshold=0.3): + """Process video frame.""" + try: + # Convert BGR to RGB + image_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) + + # Create PIL Image + pil_image = PIL.Image.fromarray(image_rgb) + pil_image.thumbnail([1024, 1024]) + + # Convert back to numpy array + processed_frame = np.array(pil_image) + + # Convert back to BGR for OpenCV + processed_frame = cv2.cvtColor(processed_frame, cv2.COLOR_RGB2BGR) + + return processed_frame + except Exception as e: + print(f"Error processing frame: {e}") + return frame + + +class GeminiHandler(StreamHandler): + def __init__(self, expected_layout="mono", output_sample_rate=24000, output_frame_size=480) -> None: + super().__init__(expected_layout, output_sample_rate, output_frame_size, input_sample_rate=24000) + self.config = GeminiConfig() + self.ws = None + self.all_output_data = None + self.audio_processor = AudioProcessor() + self.current_frame = None + + def copy(self): + handler = GeminiHandler( + expected_layout=self.expected_layout, + output_sample_rate=self.output_sample_rate, + output_frame_size=self.output_frame_size, + ) + return handler + + def _initialize_websocket(self): + try: + self.ws = websockets.sync.client.connect(self.config.ws_url, timeout=30) + initial_request = { + "setup": { + "model": self.config.model, + } + } + self.ws.send(json.dumps(initial_request)) + setup_response = json.loads(self.ws.recv()) + print(f"Setup response: {setup_response}") + except websockets.exceptions.WebSocketException as e: + print(f"WebSocket connection failed: {str(e)}") + self.ws = None + except Exception as e: + print(f"Setup failed: {str(e)}") + self.ws = None + + def process_video_frame(self, frame): + self.current_frame = frame + _, buffer = cv2.imencode('.jpg', frame) + image_data = base64.b64encode(buffer).decode('utf-8') + return image_data + + def receive(self, frame: tuple[int, np.ndarray]) -> None: + try: + if not self.ws: + self._initialize_websocket() + + _, array = frame + array = array.squeeze() + + audio_data = self.audio_processor.encode_audio(array, self.output_sample_rate) + + message = { + "realtimeInput": { + "mediaChunks": [ + { + "mimeType": f"audio/pcm;rate={self.output_sample_rate}", + "data": audio_data["realtimeInput"]["mediaChunks"][0]["data"], + } + ], + } + } + + if self.current_frame is not None: + image_data = self.process_video_frame(self.current_frame) + message["realtimeInput"]["mediaChunks"].append({ + "mimeType": "image/jpeg", + "data": image_data + }) + + self.ws.send(json.dumps(message)) + except Exception as e: + print(f"Error in receive: {str(e)}") + if self.ws: + self.ws.close() + self.ws = None + + def _process_server_content(self, content): + for part in content.get("parts", []): + data = part.get("inlineData", {}).get("data", "") + if data: + audio_array = self.audio_processor.process_audio_response(data) + if self.all_output_data is None: + self.all_output_data = audio_array + else: + self.all_output_data = np.concatenate((self.all_output_data, audio_array)) + + while self.all_output_data.shape[-1] >= self.output_frame_size: + yield (self.output_sample_rate, self.all_output_data[: self.output_frame_size].reshape(1, -1)) + self.all_output_data = self.all_output_data[self.output_frame_size :] + + def generator(self): + while True: + if not self.ws: + print("WebSocket not connected") + yield None + continue + + try: + message = self.ws.recv(timeout=5) + msg = json.loads(message) + + if "serverContent" in msg: + content = msg["serverContent"].get("modelTurn", {}) + yield from self._process_server_content(content) + except TimeoutError: + print("Timeout waiting for server response") + yield None + except Exception as e: + print(f"Error in generator: {str(e)}") + yield None + + def emit(self) -> tuple[int, np.ndarray] | None: + if not self.ws: + return None + if not hasattr(self, "_generator"): + self._generator = self.generator() + try: + return next(self._generator) + except StopIteration: + self.reset() + return None + + def reset(self) -> None: + if hasattr(self, "_generator"): + delattr(self, "_generator") + self.all_output_data = None + + def shutdown(self) -> None: + if self.ws: + self.ws.close() + + def check_connection(self): + try: + if not self.ws or self.ws.closed: + self._initialize_websocket() + return True + except Exception as e: + print(f"Connection check failed: {str(e)}") + return False + + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + def fn(message, history, enable_search): + inputs = preprocess(message, history, enable_search) + is_gemini = model_name.startswith("gemini-") + + if is_gemini: + genai.configure(api_key=api_key) + + generation_config = { + "temperature": 1, + "top_p": 0.95, + "top_k": 40, + "max_output_tokens": 8192, + "response_mime_type": "text/plain", + } + + model = genai.GenerativeModel( + model_name=model_name, + generation_config=generation_config + ) + + chat = model.start_chat(history=inputs.get("history", [])) + + if inputs.get("enable_search"): + response = chat.send_message( + inputs["message"], + stream=True, + tools='google_search_retrieval' + ) + else: + response = chat.send_message(inputs["message"], stream=True) + + response_text = "" + for chunk in response: + if chunk.text: + response_text += chunk.text + yield {"role": "assistant", "content": response_text} + + return fn + + +def get_interface_args(pipeline, model_name: str): + if pipeline == "chat": + inputs = [gr.Checkbox(label="Enable Search", value=False)] + outputs = None + + def preprocess(message, history, enable_search): + is_gemini = model_name.startswith("gemini-") + if is_gemini: + # Handle multimodal input + if isinstance(message, dict): + parts = [] + if message.get("text"): + parts.append({"text": message["text"]}) + if message.get("files"): + for file in message["files"]: + # Determine file type and handle accordingly + if isinstance(file, str): # If it's a file path + mime_type = None + if file.lower().endswith('.pdf'): + mime_type = "application/pdf" + elif file.lower().endswith('.txt'): + mime_type = "text/plain" + elif file.lower().endswith('.html'): + mime_type = "text/html" + elif file.lower().endswith('.md'): + mime_type = "text/md" + elif file.lower().endswith('.csv'): + mime_type = "text/csv" + elif file.lower().endswith(('.js', '.javascript')): + mime_type = "application/x-javascript" + elif file.lower().endswith('.py'): + mime_type = "application/x-python" + + if mime_type: + try: + uploaded_file = genai.upload_file(file) + parts.append(uploaded_file) + except Exception as e: + print(f"Error uploading file: {e}") + else: + with open(file, "rb") as f: + image_data = f.read() + import base64 + image_data = base64.b64encode(image_data).decode() + parts.append({ + "inline_data": { + "mime_type": "image/jpeg", + "data": image_data + } + }) + else: # If it's binary data, treat as image + import base64 + image_data = base64.b64encode(file).decode() + parts.append({ + "inline_data": { + "mime_type": "image/jpeg", + "data": image_data + } + }) + message_parts = parts + else: + message_parts = [{"text": message}] + + # Process history + gemini_history = [] + for entry in history: + # Handle different history formats + if isinstance(entry, (list, tuple)): + user_msg, assistant_msg = entry + else: + # If it's a dict with role/content format + if entry.get("role") == "user": + user_msg = entry.get("content") + continue # Skip to next iteration to get assistant message + elif entry.get("role") == "assistant": + assistant_msg = entry.get("content") + continue # Skip to next iteration + else: + continue # Skip unknown roles + + # Process user message + if isinstance(user_msg, dict): + parts = [] + if user_msg.get("text"): + parts.append({"text": user_msg["text"]}) + if user_msg.get("files"): + for file in user_msg["files"]: + if isinstance(file, str): + mime_type = None + if file.lower().endswith('.pdf'): + mime_type = "application/pdf" + # ... (same mime type checks as before) + + if mime_type: + try: + uploaded_file = genai.upload_file(file) + parts.append(uploaded_file) + except Exception as e: + print(f"Error uploading file in history: {e}") + else: + with open(file, "rb") as f: + image_data = f.read() + import base64 + image_data = base64.b64encode(image_data).decode() + parts.append({ + "inline_data": { + "mime_type": "image/jpeg", + "data": image_data + } + }) + else: + import base64 + image_data = base64.b64encode(file).decode() + parts.append({ + "inline_data": { + "mime_type": "image/jpeg", + "data": image_data + } + }) + gemini_history.append({ + "role": "user", + "parts": parts + }) + else: + gemini_history.append({ + "role": "user", + "parts": [{"text": str(user_msg)}] + }) + + # Process assistant message + gemini_history.append({ + "role": "model", + "parts": [{"text": str(assistant_msg)}] + }) + + return { + "history": gemini_history, + "message": message_parts, + "enable_search": enable_search + } + else: + messages = [] + for user_msg, assistant_msg in history: + messages.append({"role": "user", "content": user_msg}) + messages.append({"role": "assistant", "content": assistant_msg}) + messages.append({"role": "user", "content": message}) + return {"messages": messages} + + postprocess = lambda x: x + else: + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + return "chat" + + +def registry( + name: str, + token: str | None = None, + examples: list | None = None, + enable_voice: bool = False, + enable_video: bool = False, + coder: bool = False, + **kwargs +): + env_key = "GEMINI_API_KEY" + api_key = token or os.environ.get(env_key) + if not api_key: + raise ValueError(f"{env_key} environment variable is not set.") + + if coder: + interface = gr.Blocks(css=""" + .left_header { + text-align: center; + margin-bottom: 20px; + } + + .right_panel { + background: white; + border-radius: 8px; + overflow: hidden; + box-shadow: 0 2px 8px rgba(0,0,0,0.15); + } + + .render_header { + background: #f5f5f5; + padding: 8px; + border-bottom: 1px solid #e8e8e8; + } + + .header_btn { + display: inline-block; + width: 12px; + height: 12px; + border-radius: 50%; + margin-right: 8px; + background: #ff5f56; + } + + .header_btn:nth-child(2) { + background: #ffbd2e; + } + + .header_btn:nth-child(3) { + background: #27c93f; + } + + .right_content { + padding: 24px; + height: 920px; + display: flex; + align-items: center; + justify-content: center; + } + + .html_content { + height: 920px; + width: 100%; + } + + .history_chatbot { + height: 100%; + } + """) + with interface: + history = gr.State([]) + setting = gr.State({"system": SystemPrompt}) + + with ms.Application() as app: + with antd.ConfigProvider(): + with antd.Row(gutter=[32, 12]) as layout: + # Left Column + with antd.Col(span=24, md=8): + with antd.Flex(vertical=True, gap="middle", wrap=True): + header = gr.HTML(""" +
+

Gemini Code Generator

+
+ """) + + input = antd.InputTextarea( + size="large", + allow_clear=True, + placeholder="Describe the web application you want to create" + ) + btn = antd.Button("Generate", type="primary", size="large") + clear_btn = antd.Button("Clear History", type="default", size="large") + + antd.Divider("Examples") + with antd.Flex(gap="small", wrap=True): + with ms.Each(DEMO_LIST): + with antd.Card(hoverable=True, as_item="card") as demoCard: + antd.CardMeta() + + antd.Divider("Settings") + with antd.Flex(gap="small", wrap=True): + settingPromptBtn = antd.Button("⚙️ System Prompt", type="default") + codeBtn = antd.Button("🧑‍💻 View Code", type="default") + historyBtn = antd.Button("📜 History", type="default") + + # Modals and Drawers + with antd.Modal(open=False, title="System Prompt", width="800px") as system_prompt_modal: + systemPromptInput = antd.InputTextarea(SystemPrompt, auto_size=True) + + with antd.Drawer(open=False, title="Code", placement="left", width="750px") as code_drawer: + code_output = legacy.Markdown() + + with antd.Drawer(open=False, title="History", placement="left", width="900px") as history_drawer: + history_output = legacy.Chatbot( + show_label=False, + height=960, + elem_classes="history_chatbot" + ) + + # Right Column + with antd.Col(span=24, md=16): + with ms.Div(elem_classes="right_panel"): + gr.HTML(''' +
+ + + +
+ ''') + with antd.Tabs(active_key="empty", render_tab_bar="() => null") as state_tab: + with antd.Tabs.Item(key="empty"): + empty = antd.Empty( + description="Enter your request to generate code", + elem_classes="right_content" + ) + with antd.Tabs.Item(key="loading"): + loading = antd.Spin( + True, + tip="Generating code...", + size="large", + elem_classes="right_content" + ) + with antd.Tabs.Item(key="render"): + preview = gr.HTML(elem_classes="html_content") + + # Event Handlers + def demo_card_click(e: gr.EventData): + index = e._data['component']['index'] + return DEMO_LIST[index]['description'] + + def send_to_preview(code): + encoded_html = base64.b64encode(code.encode('utf-8')).decode('utf-8') + data_uri = f"data:text/html;charset=utf-8;base64,{encoded_html}" + return f'' + + def remove_code_block(text): + pattern = r'```html\n(.+?)\n```' + match = re.search(pattern, text, re.DOTALL) + if match: + return match.group(1).strip() + return text.strip() + + def generate_code(query, setting, history): + # Convert messages to Gemini's expected format + messages = [] + # Add system message + messages.append({ + "role": "user", + "parts": [{"text": setting["system"]}] + }) + messages.append({ + "role": "model", + "parts": [{"text": "I understand. I will help you write clean, efficient web code."}] + }) + + # Add history + for h in history: + messages.append({ + "role": "user", + "parts": [{"text": h[0]}] + }) + messages.append({ + "role": "model", + "parts": [{"text": h[1]}] + }) + + # Add current query + messages.append({ + "role": "user", + "parts": [{"text": query}] + }) + + genai.configure(api_key=api_key) + model = genai.GenerativeModel(model_name=name) + response = model.generate_content(messages, stream=True) + + response_text = "" + for chunk in response: + if chunk.text: + response_text += chunk.text + # Return all 5 required outputs + yield ( + response_text, # code_output (modelscopemarkdown) + history, # state + None, # preview (html) + gr.update(active_key="loading"), # state_tab (antdtabs) + gr.update(open=True) # code_drawer (antddrawer) + ) + + clean_code = remove_code_block(response_text) + new_history = history + [(query, response_text)] + + # Final yield with all outputs + yield ( + response_text, # code_output (modelscopemarkdown) + new_history, # state + send_to_preview(clean_code), # preview (html) + gr.update(active_key="render"), # state_tab (antdtabs) + gr.update(open=False) # code_drawer (antddrawer) + ) + + # Wire up event handlers + demoCard.click(demo_card_click, outputs=[input]) + settingPromptBtn.click(lambda: gr.update(open=True), outputs=[system_prompt_modal]) + system_prompt_modal.ok( + lambda input: ({"system": input}, gr.update(open=False)), + inputs=[systemPromptInput], + outputs=[setting, system_prompt_modal] + ) + system_prompt_modal.cancel(lambda: gr.update(open=False), outputs=[system_prompt_modal]) + + codeBtn.click(lambda: gr.update(open=True), outputs=[code_drawer]) + code_drawer.close(lambda: gr.update(open=False), outputs=[code_drawer]) + + historyBtn.click( + lambda h: (gr.update(open=True), h), + inputs=[history], + outputs=[history_drawer, history_output] + ) + history_drawer.close(lambda: gr.update(open=False), outputs=[history_drawer]) + + btn.click( + generate_code, + inputs=[input, setting, history], + outputs=[code_output, history, preview, state_tab, code_drawer] + ) + + clear_btn.click(lambda: [], outputs=[history]) + + return interface + + # Regular chat interface code continues here... + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline, name) + fn = get_fn(name, preprocess, postprocess, api_key) + + if examples: + formatted_examples = [[example, False] for example in examples] + kwargs["examples"] = formatted_examples + + if pipeline == "chat": + if enable_voice or enable_video: + interface = gr.Blocks() + with interface: + gr.HTML( + """ +
+

Gemini Chat

+
+ """ + ) + + gemini_handler = GeminiHandler() + + with gr.Row(): + with gr.Column(scale=1): + if enable_video: + video = WebRTC( + label="Stream", + mode="send-receive", + modality="video", + rtc_configuration=get_twilio_turn_credentials() + ) + + if enable_voice: + audio = WebRTC( + label="Voice Chat", + modality="audio", + mode="send-receive", + rtc_configuration=get_twilio_turn_credentials(), + ) + + if enable_video: + video.stream( + fn=lambda frame: (frame, detection(frame)), + inputs=[video], + outputs=[video], + time_limit=90, + concurrency_limit=10 + ) + + if enable_voice: + audio.stream( + gemini_handler, + inputs=[audio], + outputs=[audio], + time_limit=90, + concurrency_limit=10 + ) + else: + interface = gr.ChatInterface( + fn=fn, + additional_inputs=inputs, + multimodal=True, + type="messages", + **kwargs + ) + else: + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/appkits/qpyapp/src/qpyapp/ai/providers/hyperbolic_gradio.py b/appkits/qpyapp/src/qpyapp/ai/providers/hyperbolic_gradio.py new file mode 100644 index 0000000..b1d3f77 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/providers/hyperbolic_gradio.py @@ -0,0 +1,330 @@ +from __future__ import annotations + +import os +from openai import OpenAI +import gradio as gr +from typing import Callable +import base64 +import re +import modelscope_studio.components.base as ms +import modelscope_studio.components.legacy as legacy +import modelscope_studio.components.antd as antd + +# Constants for coder interface +SystemPrompt = """You are an expert web developer specializing in creating clean, efficient, and modern web applications. +Your task is to write complete, self-contained HTML files that include all necessary CSS and JavaScript. +Focus on: +- Writing clear, maintainable code +- Following best practices +- Creating responsive designs +- Adding appropriate styling and interactivity +Return only the complete HTML code without any additional explanation.""" + +DEMO_LIST = [ + { + "card": {"index": 0}, + "title": "Simple Button", + "description": "Create a button that changes color when clicked" + }, + { + "card": {"index": 1}, + "title": "Todo List", + "description": "Create a simple todo list with add/remove functionality" + }, + { + "card": {"index": 2}, + "title": "Timer App", + "description": "Create a countdown timer with start/pause/reset controls" + } +] + + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str, base_url: str = None): + def fn(message, history): + inputs = preprocess(message, history) + # Set base URL and adjust endpoint handling + + client = OpenAI( + api_key=api_key, + base_url="https://api.hyperbolic.xyz/v1" + ) + + completion = client.chat.completions.create( + model=model_name, + messages=[ + *inputs["messages"] + ], + stream=True, + temperature=0.7, + max_tokens=512, + top_p=0.9, + ) + response_text = "" + for chunk in completion: + delta = chunk.choices[0].delta.content or "" + response_text += delta + yield postprocess(response_text) + + return fn + + +def get_interface_args(pipeline): + if pipeline == "chat": + inputs = None + outputs = None + + def preprocess(message, history): + messages = [] + for user_msg, assistant_msg in history: + messages.append({"role": "user", "content": user_msg}) + messages.append({"role": "assistant", "content": assistant_msg}) + messages.append({"role": "user", "content": message}) + return {"messages": messages} + + postprocess = lambda x: x # No post-processing needed + else: + # Add other pipeline types when they will be needed + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Determine the pipeline type based on the model name + # For simplicity, assuming all models are chat models at the moment + return "chat" + + +def registry(name: str, token: str | None = None, base_url: str | None = None, coder: bool = False, **kwargs): + api_key = token or os.environ.get("HYPERBOLIC_API_KEY") + if not api_key: + raise ValueError("API key is not set. Please provide a token or set HYPERBOLIC_API_KEY environment variable.") + + if coder: + interface = gr.Blocks(css=""" + .left_header { + text-align: center; + margin-bottom: 20px; + } + .right_panel { + background: white; + border-radius: 8px; + overflow: hidden; + box-shadow: 0 2px 8px rgba(0,0,0,0.15); + } + .render_header { + background: #f5f5f5; + padding: 8px; + border-bottom: 1px solid #e8e8e8; + } + .header_btn { + display: inline-block; + width: 12px; + height: 12px; + border-radius: 50%; + margin-right: 8px; + background: #ff5f56; + } + .header_btn:nth-child(2) { + background: #ffbd2e; + } + .header_btn:nth-child(3) { + background: #27c93f; + } + .right_content { + padding: 24px; + height: 920px; + display: flex; + align-items: center; + justify-content: center; + } + .html_content { + height: 920px; + width: 100%; + } + .history_chatbot { + height: 100%; + } + """) + + with interface: + history = gr.State([]) + setting = gr.State({"system": SystemPrompt}) + + with ms.Application() as app: + with antd.ConfigProvider(): + with antd.Row(gutter=[32, 12]) as layout: + # Left Column + with antd.Col(span=24, md=8): + with antd.Flex(vertical=True, gap="middle", wrap=True): + header = gr.HTML(""" +
+

Hyperbolic Code Generator

+
+ """) + + input = antd.InputTextarea( + size="large", + allow_clear=True, + placeholder="Describe the web application you want to create" + ) + btn = antd.Button("Generate", type="primary", size="large") + clear_btn = antd.Button("Clear History", type="default", size="large") + + antd.Divider("Examples") + with antd.Flex(gap="small", wrap=True): + with ms.Each(DEMO_LIST): + with antd.Card(hoverable=True, as_item="card") as demoCard: + antd.CardMeta() + + antd.Divider("Settings") + with antd.Flex(gap="small", wrap=True): + settingPromptBtn = antd.Button("⚙️ System Prompt", type="default") + codeBtn = antd.Button("🧑‍💻 View Code", type="default") + historyBtn = antd.Button("📜 History", type="default") + + # Modals and Drawers + with antd.Modal(open=False, title="System Prompt", width="800px") as system_prompt_modal: + systemPromptInput = antd.InputTextarea(SystemPrompt, auto_size=True) + + with antd.Drawer(open=False, title="Code", placement="left", width="750px") as code_drawer: + code_output = legacy.Markdown() + + with antd.Drawer(open=False, title="History", placement="left", + width="900px") as history_drawer: + history_output = legacy.Chatbot( + show_label=False, + height=960, + elem_classes="history_chatbot" + ) + + # Right Column + with antd.Col(span=24, md=16): + with ms.Div(elem_classes="right_panel"): + gr.HTML(''' +
+ + + +
+ ''') + with antd.Tabs(active_key="empty", render_tab_bar="() => null") as state_tab: + with antd.Tabs.Item(key="empty"): + empty = antd.Empty( + description="Enter your request to generate code", + elem_classes="right_content" + ) + with antd.Tabs.Item(key="loading"): + loading = antd.Spin( + True, + tip="Generating code...", + size="large", + elem_classes="right_content" + ) + with antd.Tabs.Item(key="render"): + preview = gr.HTML(elem_classes="html_content") + + # Helper functions + def demo_card_click(e: gr.EventData): + index = e._data['component']['index'] + return DEMO_LIST[index]['description'] + + def send_to_preview(code): + encoded_html = base64.b64encode(code.encode('utf-8')).decode('utf-8') + data_uri = f"data:text/html;charset=utf-8;base64,{encoded_html}" + return f'' + + def remove_code_block(text): + pattern = r'```html\n(.+?)\n```' + match = re.search(pattern, text, re.DOTALL) + if match: + return match.group(1).strip() + return text.strip() + + def generate_code(query, setting, history): + client = OpenAI( + api_key=api_key, + base_url="https://api.hyperbolic.xyz/v1" + ) + + messages = [ + {"role": "system", "content": setting["system"]}, + ] + + for h in history: + messages.append({"role": "user", "content": h[0]}) + messages.append({"role": "assistant", "content": h[1]}) + + messages.append({"role": "user", "content": query}) + + response = client.chat.completions.create( + model=name, + messages=messages, + stream=True, + temperature=0.7, + max_tokens=2048, + ) + + response_text = "" + for chunk in response: + if chunk.choices[0].delta.content: + response_text += chunk.choices[0].delta.content + yield ( + response_text, + history, + None, + gr.update(active_key="loading"), + gr.update(open=True) + ) + + clean_code = remove_code_block(response_text) + new_history = history + [(query, response_text)] + + yield ( + response_text, + new_history, + send_to_preview(clean_code), + gr.update(active_key="render"), + gr.update(open=False) + ) + + # Wire up event handlers + demoCard.click(demo_card_click, outputs=[input]) + settingPromptBtn.click(lambda: gr.update(open=True), outputs=[system_prompt_modal]) + system_prompt_modal.ok( + lambda input: ({"system": input}, gr.update(open=False)), + inputs=[systemPromptInput], + outputs=[setting, system_prompt_modal] + ) + system_prompt_modal.cancel(lambda: gr.update(open=False), outputs=[system_prompt_modal]) + + codeBtn.click(lambda: gr.update(open=True), outputs=[code_drawer]) + code_drawer.close(lambda: gr.update(open=False), outputs=[code_drawer]) + + historyBtn.click( + lambda h: (gr.update(open=True), h), + inputs=[history], + outputs=[history_drawer, history_output] + ) + history_drawer.close(lambda: gr.update(open=False), outputs=[history_drawer]) + + btn.click( + generate_code, + inputs=[input, setting, history], + outputs=[code_output, history, preview, state_tab, code_drawer] + ) + + clear_btn.click(lambda: [], outputs=[history]) + + return interface + + # Regular chat interface + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(name, preprocess, postprocess, api_key, base_url) + + if pipeline == "chat": + interface = gr.ChatInterface(fn=fn, **kwargs) + else: + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface diff --git a/appkits/qpyapp/src/qpyapp/ai/providers/lumaai_gradio.py b/appkits/qpyapp/src/qpyapp/ai/providers/lumaai_gradio.py new file mode 100644 index 0000000..045dfe3 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/providers/lumaai_gradio.py @@ -0,0 +1,164 @@ +import os +from lumaai import LumaAI +import gradio as gr +from typing import Callable +import base64 +import time + +__version__ = "0.0.3" + + +def get_fn(preprocess: Callable, postprocess: Callable, api_key: str, pipeline: str): + def fn(message, history, generation_type): + try: + inputs = preprocess(message, history) + # Create a fresh client instance for each generation + client = LumaAI(auth_token=api_key) + + # Validate generation type + if generation_type not in ["video", "image"]: + raise ValueError(f"Invalid generation type: {generation_type}") + + try: + if generation_type == "video": + generation = client.generations.create( + prompt=inputs["prompt"], + **inputs.get("additional_params", {}) + ) + else: # image + generation = client.generations.image.create( + prompt=inputs["prompt"], + **inputs.get("additional_params", {}) + ) + except Exception as e: + raise RuntimeError(f"Failed to create generation: {str(e)}") + + # Poll for completion with timeout + start_time = time.time() + timeout = 300 # 5 minutes timeout + + while True: + if time.time() - start_time > timeout: + raise RuntimeError("Generation timed out after 5 minutes") + + try: + generation = client.generations.get(id=generation.id) + if generation.state == "completed": + asset_url = generation.assets.video if generation_type == "video" else generation.assets.image + break + elif generation.state == "failed": + raise RuntimeError(f"Generation failed: {generation.failure_reason}") + time.sleep(3) + yield f"Generating {generation_type}... (Status: {generation.state})" + except Exception as e: + raise RuntimeError(f"Error checking generation status: {str(e)}") + + # Return asset URL wrapped in appropriate format for display + yield postprocess(asset_url, generation_type) + + except Exception as e: + yield f"Error: {str(e)}" + raise + + return fn + + +def get_image_base64(url: str, ext: str): + with open(url, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + return "data:image/" + ext + ";base64," + encoded_string + + +def handle_user_msg(message: str): + if type(message) is str: + return message + elif type(message) is dict: + if message["files"] is not None and len(message["files"]) > 0: + ext = os.path.splitext(message["files"][-1])[1].strip(".") + if ext.lower() in ["png", "jpg", "jpeg", "gif", "pdf"]: + encoded_str = get_image_base64(message["files"][-1], ext) + else: + raise NotImplementedError(f"Not supported file type {ext}") + content = [ + {"type": "text", "text": message["text"]}, + { + "type": "image_url", + "image_url": { + "url": encoded_str, + } + }, + ] + else: + content = message["text"] + return content + else: + raise NotImplementedError + + +def get_interface_args(pipeline): + generation_type = gr.Dropdown( + choices=["video", "image"], + label="Generation Type", + value="video" if pipeline == "video" else "image" + ) + outputs = None + + def preprocess(message, history): + if isinstance(message, str): + return {"prompt": message} + elif isinstance(message, dict): + prompt = message.get("text", "") + additional_params = {} + + # Handle optional parameters + if message.get("aspect_ratio"): + additional_params["aspect_ratio"] = message["aspect_ratio"] + if message.get("model"): + additional_params["model"] = message["model"] + + return { + "prompt": prompt, + "additional_params": additional_params + } + + def postprocess(url, generation_type): + if generation_type == "video": + return f'' + else: + return f"![Generated Image]({url})" + + return generation_type, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Support both video and image pipelines + return "video" if model_name == "dream-machine" else "image" + + +def registry(name: str = "dream-machine", token: str = None, **kwargs): + """ + Create a Gradio Interface for LumaAI generation. + + Parameters: + - name (str): Model name (defaults to 'dream-machine' for video, use 'photon-1' or 'photon-flash-1' for images) + - token (str, optional): The API key for LumaAI + - **kwargs: Additional keyword arguments passed to gr.Interface + """ + api_key = token or kwargs.pop('api_key', None) or os.environ.get("LUMAAI_API_KEY") + if not api_key: + raise ValueError("API key must be provided either through token parameter, kwargs, or LUMAAI_API_KEY environment variable.") + + pipeline = get_pipeline(name) + generation_type, outputs, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(preprocess, postprocess, api_key, pipeline) + + interface = gr.ChatInterface( + fn=fn, + additional_inputs=[generation_type], + type="messages", + title="LumaAI Generation", + description="Generate videos or images from text prompts using LumaAI", + **kwargs + ) + + return interface \ No newline at end of file diff --git a/appkits/qpyapp/src/qpyapp/ai/providers/openai_gradio.py b/appkits/qpyapp/src/qpyapp/ai/providers/openai_gradio.py new file mode 100644 index 0000000..c09d169 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/providers/openai_gradio.py @@ -0,0 +1,235 @@ +import os +import asyncio +import base64 +import time +from threading import Event, Thread + +import gradio as gr +import numpy as np +from openai import OpenAI +from gradio_webrtc import ( + AdditionalOutputs, + StreamHandler, + WebRTC, + get_twilio_turn_credentials, +) +from pydub import AudioSegment + +SAMPLE_RATE = 24000 + +def encode_audio(sample_rate, data): + segment = AudioSegment( + data.tobytes(), + frame_rate=sample_rate, + sample_width=data.dtype.itemsize, + channels=1, + ) + pcm_audio = ( + segment.set_frame_rate(SAMPLE_RATE).set_channels(1).set_sample_width(2).raw_data + ) + return base64.b64encode(pcm_audio).decode("utf-8") + +class RealtimeHandler(StreamHandler): + def __init__( + self, + expected_layout="mono", + output_sample_rate=SAMPLE_RATE, + output_frame_size=480, + model=None + ) -> None: + super().__init__( + expected_layout, + output_sample_rate, + output_frame_size, + input_sample_rate=SAMPLE_RATE, + ) + self.model = model + # Initialize Event objects first + self.args_set = Event() + self.quit = Event() + self.connected = Event() + self.reset_state() + + def reset_state(self): + """Reset connection state for new recording session""" + self.connection = None + self.args_set.clear() + self.quit.clear() + self.connected.clear() + self.thread = None + self._generator = None + self.current_session = None + + def copy(self): + return RealtimeHandler( + expected_layout=self.expected_layout, + output_sample_rate=self.output_sample_rate, + output_frame_size=self.output_frame_size, + model=self.model + ) + + def _initialize_connection(self, api_key: str): + self.client = OpenAI(api_key=api_key) + with self.client.beta.realtime.connect( + model=self.model + ) as conn: + conn.session.update(session={"turn_detection": {"type": "server_vad"}}) + self.connection = conn + self.connected.set() + self.current_session = conn.session + while not self.quit.is_set(): + time.sleep(0.25) + + async def fetch_args(self): + if self.channel: + self.channel.send("tick") + + def set_args(self, args): + super().set_args(args) + self.args_set.set() + + def receive(self, frame: tuple[int, np.ndarray]) -> None: + if not self.channel: + return + try: + # Initialize connection if needed + if not self.connection: + asyncio.run_coroutine_threadsafe(self.fetch_args(), self.loop) + self.args_set.wait() + self.thread = Thread( + target=self._initialize_connection, args=(self.latest_args[-1],) + ) + self.thread.start() + self.connected.wait() + + # Send audio data + assert self.connection, "Connection not initialized" + sample_rate, array = frame + array = array.squeeze() + audio_message = encode_audio(sample_rate, array) + + # Send the audio data + self.connection.input_audio_buffer.append(audio=audio_message) + + except Exception as e: + print(f"Error in receive: {str(e)}") + import traceback + traceback.print_exc() + + def generator(self): + while True: + if not self.connection: + yield None + continue + for event in self.connection: + if event.type == "response.audio_transcript.done": + yield AdditionalOutputs(event) + if event.type == "response.audio.delta": + yield ( + self.output_sample_rate, + np.frombuffer( + base64.b64decode(event.delta), dtype=np.int16 + ).reshape(1, -1), + ) + + def emit(self) -> tuple[int, np.ndarray] | None: + if not self.connection: + return None + if not self._generator: + self._generator = self.generator() + try: + return next(self._generator) + except StopIteration: + self._generator = self.generator() + return None + + def shutdown(self) -> None: + if self.connection: + self.quit.set() + self.connection.close() + if self.thread: + self.thread.join(timeout=5) + self.reset_state() # Reset state after shutdown + +def update_chatbot(chatbot: list[dict], response): + chatbot.append({"role": "assistant", "content": response.transcript}) + return chatbot + +def get_fn(api_key: str, model: str): + # Return the function instead of executing it + def chat_fn(message, history): + client = OpenAI(api_key=api_key) + messages = [] + for user_msg, assistant_msg in history: + messages.append({"role": "user", "content": user_msg}) + messages.append({"role": "assistant", "content": assistant_msg}) + messages.append({"role": "user", "content": message}) + + response = client.chat.completions.create( + model=model, + messages=messages, + stream=True + ) + + partial_message = "" + for chunk in response: + if chunk.choices[0].delta.content: + partial_message += chunk.choices[0].delta.content + yield partial_message + + return chat_fn # Return the function object + +def registry(name: str, token: str | None = None, twilio_sid: str | None = None, twilio_token: str | None = None, enable_voice: bool = False, **kwargs): + api_key = token or os.environ.get("OPENAI_API_KEY") + if not api_key: + raise ValueError("OPENAI_API_KEY environment variable is not set.") + + model = name if name else "gpt-4" + + # Check if model is a realtime model or if enable_voice is True + is_realtime_model = "realtime" in model.lower() + use_voice_ui = enable_voice or is_realtime_model + + if use_voice_ui: + # Voice UI implementation + with gr.Blocks() as interface: + # Set initial visibility based on whether API key is provided + show_api_input = api_key is None + + with gr.Row(visible=show_api_input) as api_key_row: + api_key_input = gr.Textbox( + label="OpenAI API Key", + placeholder="Enter your OpenAI API Key", + value=api_key, + type="password", + ) + + with gr.Row(visible=not show_api_input) as row: + webrtc = WebRTC( + label="Conversation", + modality="audio", + mode="send-receive", + rtc_configuration=get_twilio_turn_credentials(twilio_sid, twilio_token), + ) + + webrtc.stream( + RealtimeHandler(model=model), + inputs=[webrtc, api_key_input], + outputs=[webrtc], + time_limit=90, + concurrency_limit=10, + ) + + api_key_input.submit( + lambda: (gr.update(visible=False), gr.update(visible=True)), + None, + [api_key_row, row], + ) + else: + # New chat interface implementation + interface = gr.ChatInterface( + fn=get_fn(api_key, model), + **kwargs + ) + + return interface \ No newline at end of file diff --git a/appkits/qpyapp/src/qpyapp/ai/providers/qwen_gradio.py b/appkits/qpyapp/src/qpyapp/ai/providers/qwen_gradio.py new file mode 100644 index 0000000..dda18fd --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/providers/qwen_gradio.py @@ -0,0 +1,109 @@ +import os +from openai import OpenAI +import gradio as gr +from typing import Callable + +__version__ = "0.0.3" + + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str, base_url: str | None = None): + def fn(message, history): + inputs = preprocess(message, history) + + + + client = OpenAI( + api_key=api_key, + base_url="https://dashscope.aliyuncs.com/compatible-mode/v1" + ) + completion = client.chat.completions.create( + model=model_name, + messages=inputs["messages"], + stream=True, + ) + response_text = "" + for chunk in completion: + delta = chunk.choices[0].delta.content or "" + response_text += delta + yield postprocess(response_text) + + return fn + + +def get_interface_args(pipeline, model_name: str): + if pipeline == "chat": + inputs = None + outputs = None + + def preprocess(message, history): + messages = [] + # Add system prompt for qwq-32b-preview + if model_name == "qwq-32b-preview": + messages.append({ + "role": "system", + "content": "You are a helpful and harmless assistant. You are Qwen developed by Alibaba. You should think step-by-step." + }) + + for user_msg, assistant_msg in history: + messages.append({"role": "user", "content": user_msg}) + messages.append({"role": "assistant", "content": assistant_msg}) + + # Handle multimodal input + if isinstance(message, dict): + content = [] + if message.get("files"): + # Convert local file path to data URL + import base64 + with open(message["files"][0], "rb") as image_file: + encoded_image = base64.b64encode(image_file.read()).decode('utf-8') + content.append({ + "type": "image_url", + "image_url": f"data:image/jpeg;base64,{encoded_image}" + }) + content.append({ + "type": "text", + "text": message["text"] + }) + messages.append({"role": "user", "content": content}) + else: + messages.append({"role": "user", "content": [{"type": "text", "text": message}]}) + + return {"messages": messages} + + postprocess = lambda x: x # No post-processing needed + else: + # Add other pipeline types when they will be needed + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Determine the pipeline type based on the model name + # For simplicity, assuming all models are chat models at the moment + return "chat" + + +def registry(name: str, token: str | None = None, base_url: str | None = None, **kwargs): + """ + Create a Gradio Interface for a model on OpenAI or DashScope. + + Parameters: + - name (str): The name of the model (e.g. "qwen-turbo", "gpt-3.5-turbo") + - token (str, optional): The API key + - base_url (str, optional): The base URL for the API. Defaults to DashScope URL. + """ + api_key = token or os.environ.get("DASHSCOPE_API_KEY") + if not api_key: + raise ValueError("API key not found in environment variables.") + + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline, name) + fn = get_fn(name, preprocess, postprocess, api_key, base_url) + + if pipeline == "chat": + interface = gr.ChatInterface(fn=fn, multimodal=True, **kwargs) + else: + # For other pipelines, create a standard Interface (not implemented yet) + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/appkits/qpyapp/src/qpyapp/ai/providers/sambanova_gradio.py b/appkits/qpyapp/src/qpyapp/ai/providers/sambanova_gradio.py new file mode 100644 index 0000000..a8e2c56 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/providers/sambanova_gradio.py @@ -0,0 +1,120 @@ +import os +import base64 +from openai import OpenAI +import gradio as gr +from typing import Callable + +__version__ = "0.0.1" + +def get_image_base64(url: str, ext: str): + with open(url, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + return "data:image/" + ext + ";base64," + encoded_string + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + def fn(message, history): + inputs = preprocess(message, history) + client = OpenAI( + base_url="https://api.sambanova.ai/v1/", + api_key=api_key, + ) + try: + completion = client.chat.completions.create( + model=model_name, + messages=inputs["messages"], + stream=True, + ) + response_text = "" + for chunk in completion: + delta = chunk.choices[0].delta.content or "" + response_text += delta + yield postprocess(response_text) + except Exception as e: + error_message = f"Error: {str(e)}" + return error_message + + return fn + +def handle_user_msg(message: str): + if type(message) is str: + return message + elif type(message) is dict: + if message["files"] is not None and len(message["files"]) > 0: + ext = os.path.splitext(message["files"][-1])[1].strip(".") + if ext.lower() in ["png", "jpg", "jpeg", "gif", "pdf"]: + encoded_str = get_image_base64(message["files"][-1], ext) + else: + raise NotImplementedError(f"Not supported file type {ext}") + content = [ + {"type": "text", "text": message["text"]}, + { + "type": "image_url", + "image_url": { + "url": encoded_str, + } + }, + ] + else: + content = message["text"] + return content + else: + raise NotImplementedError + +def get_interface_args(pipeline): + if pipeline == "chat": + inputs = None + outputs = None + + def preprocess(message, history): + messages = [] + files = None + for user_msg, assistant_msg in history: + if assistant_msg is not None: + messages.append({"role": "user", "content": handle_user_msg(user_msg)}) + messages.append({"role": "assistant", "content": assistant_msg}) + else: + files = user_msg + if type(message) is str and files is not None: + message = {"text":message, "files":files} + elif type(message) is dict and files is not None: + if message["files"] is None or len(message["files"]) == 0: + message["files"] = files + messages.append({"role": "user", "content": handle_user_msg(message)}) + return {"messages": messages} + + postprocess = lambda x: x # No post-processing needed + else: + # Add other pipeline types when they will be needed + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Determine the pipeline type based on the model name + # For simplicity, assuming all models are chat models at the moment + return "chat" + + +def registry(name: str, token: str | None = None, **kwargs): + """ + Create a Gradio Interface for a model on Sambanova. + + Parameters: + - name (str): The name of the model on Sambanova. + - token (str, optional): The API key for Sambanova. + """ + api_key = token or os.environ.get("SAMBANOVA_API_KEY") + if not api_key: + raise ValueError("SAMBANOVA_API_KEY environment variable is not set.") + + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(name, preprocess, postprocess, api_key) + + if pipeline == "chat": + interface = gr.ChatInterface(fn=fn, **kwargs) + else: + # For other pipelines, create a standard Interface (not implemented yet) + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/appkits/qpyapp/src/qpyapp/ai/providers/together_gradio.py b/appkits/qpyapp/src/qpyapp/ai/providers/together_gradio.py new file mode 100644 index 0000000..631dea2 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/providers/together_gradio.py @@ -0,0 +1,120 @@ +import os +import base64 +from openai import OpenAI +import gradio as gr +from typing import Callable + +__version__ = "0.0.1" + +def get_image_base64(url: str, ext: str): + with open(url, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + return "data:image/" + ext + ";base64," + encoded_string + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + def fn(message, history): + inputs = preprocess(message, history) + client = OpenAI( + base_url="https://api.together.xyz/v1", + api_key=api_key, + ) + try: + completion = client.chat.completions.create( + model=model_name, + messages=inputs["messages"], + stream=True, + ) + response_text = "" + for chunk in completion: + delta = chunk.choices[0].delta.content or "" + response_text += delta + yield postprocess(response_text) + except Exception as e: + error_message = f"Error: {str(e)}" + return error_message + + return fn + +def handle_user_msg(message: str): + if type(message) is str: + return message + elif type(message) is dict: + if message["files"] is not None and len(message["files"]) > 0: + ext = os.path.splitext(message["files"][-1])[1].strip(".") + if ext.lower() in ["png", "jpg", "jpeg", "gif", "pdf"]: + encoded_str = get_image_base64(message["files"][-1], ext) + else: + raise NotImplementedError(f"Not supported file type {ext}") + content = [ + {"type": "text", "text": message["text"]}, + { + "type": "image_url", + "image_url": { + "url": encoded_str, + } + }, + ] + else: + content = message["text"] + return content + else: + raise NotImplementedError + +def get_interface_args(pipeline): + if pipeline == "chat": + inputs = None + outputs = None + + def preprocess(message, history): + messages = [] + files = None + for user_msg, assistant_msg in history: + if assistant_msg is not None: + messages.append({"role": "user", "content": handle_user_msg(user_msg)}) + messages.append({"role": "assistant", "content": assistant_msg}) + else: + files = user_msg + if type(message) is str and files is not None: + message = {"text":message, "files":files} + elif type(message) is dict and files is not None: + if message["files"] is None or len(message["files"]) == 0: + message["files"] = files + messages.append({"role": "user", "content": handle_user_msg(message)}) + return {"messages": messages} + + postprocess = lambda x: x # No post-processing needed + else: + # Add other pipeline types when they will be needed + raise ValueError(f"Unsupported pipeline type: {pipeline}") + return inputs, outputs, preprocess, postprocess + + +def get_pipeline(model_name): + # Determine the pipeline type based on the model name + # For simplicity, assuming all models are chat models at the moment + return "chat" + + +def registry(name: str, token: str | None = None, **kwargs): + """ + Create a Gradio Interface for a model on Together. + + Parameters: + - name (str): The name of the model on Together. + - token (str, optional): The API key for Together. + """ + api_key = token or os.environ.get("TOGETHER_API_KEY") + if not api_key: + raise ValueError("TOGETHER_API_KEY environment variable is not set.") + + pipeline = get_pipeline(name) + inputs, outputs, preprocess, postprocess = get_interface_args(pipeline) + fn = get_fn(name, preprocess, postprocess, api_key) + + if pipeline == "chat": + interface = gr.ChatInterface(fn=fn, **kwargs) + else: + # For other pipelines, create a standard Interface (not implemented yet) + interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs) + + return interface \ No newline at end of file diff --git a/appkits/qpyapp/src/qpyapp/ai/providers/xai_gradio.py b/appkits/qpyapp/src/qpyapp/ai/providers/xai_gradio.py new file mode 100644 index 0000000..667975e --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/ai/providers/xai_gradio.py @@ -0,0 +1,105 @@ +import os +import base64 +from openai import OpenAI +import gradio as gr +from typing import Callable + +__version__ = "0.0.1" + +def get_image_base64(url: str, ext: str): + with open(url, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + return "data:image/" + ext + ";base64," + encoded_string + +def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str): + def fn(message, history): + inputs = preprocess(message, history) + client = OpenAI( + api_key=api_key, + base_url="https://api.x.ai/v1", + ) + completion = client.chat.completions.create( + model=model_name, + messages=inputs["messages"], + stream=True, + ) + response_text = "" + for chunk in completion: + delta = chunk.choices[0].delta.content or "" + response_text += delta + yield postprocess(response_text) + + return fn + +def handle_user_msg(message: str): + if type(message) is str: + return message + elif type(message) is dict: + if message["files"] is not None and len(message["files"]) > 0: + ext = os.path.splitext(message["files"][-1])[1].strip(".") + if ext.lower() in ["png", "jpg", "jpeg", "gif"]: + encoded_str = get_image_base64(message["files"][-1], ext) + else: + raise NotImplementedError(f"Not supported file type {ext}") + content = [ + {"type": "text", "text": message["text"]}, + { + "type": "image_url", + "image_url": { + "url": encoded_str, + } + }, + ] + else: + content = message["text"] + return content + else: + raise NotImplementedError + +def get_interface_args(model_name: str): + inputs = None + outputs = None + + def preprocess(message, history): + messages = [{"role": "system", "content": "You are Grok, a chatbot inspired by the Hitchhikers Guide to the Galaxy."}] + files = None + for user_msg, assistant_msg in history: + if assistant_msg is not None: + messages.append({"role": "user", "content": handle_user_msg(user_msg)}) + messages.append({"role": "assistant", "content": assistant_msg}) + else: + files = user_msg + + if type(message) is str and files is not None: + message = {"text": message, "files": files} + elif type(message) is dict and files is not None: + if message["files"] is None or len(message["files"]) == 0: + message["files"] = files + + messages.append({"role": "user", "content": handle_user_msg(message)}) + return {"messages": messages} + + postprocess = lambda x: x # No post-processing needed + return inputs, outputs, preprocess, postprocess + +def registry(name: str = "grok-beta", token: str | None = None, **kwargs): + """ + Create a Gradio Interface for X.AI's Grok model. + + Parameters: + - name (str): The name of the model (defaults to "grok-beta" or "grok-vision-beta") + - token (str, optional): The X.AI API key + """ + api_key = token or os.environ.get("XAI_API_KEY") + if not api_key: + raise ValueError("XAI_API_KEY environment variable is not set.") + + inputs, outputs, preprocess, postprocess = get_interface_args(name) + fn = get_fn(name, preprocess, postprocess, api_key) + + # Always set multimodal=True + kwargs["multimodal"] = True + + interface = gr.ChatInterface(fn=fn, **kwargs) + + return interface \ No newline at end of file diff --git a/appkits/qpyapp/src/qpyapp/apps/__init__.py b/appkits/qpyapp/src/qpyapp/apps/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/src/qpyapp/apps/ai_gradio_app.py b/appkits/qpyapp/src/qpyapp/apps/ai_gradio_app.py new file mode 100644 index 0000000..b4bea31 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/apps/ai_gradio_app.py @@ -0,0 +1,11 @@ +import gradio as gr +from qpyapp import ai,conf + +conf.load_dotenv() + +gr.load( + name='hyperbolic:deepseek-ai/DeepSeek-V3', + src=ai.registry, + title ="AI Chat/Application/Agent", + coder=True +).launch() diff --git a/appkits/qpyapp/src/qpyapp/conf/__init__.py b/appkits/qpyapp/src/qpyapp/conf/__init__.py new file mode 100644 index 0000000..8f9288f --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/conf/__init__.py @@ -0,0 +1 @@ +from .loaders import * \ No newline at end of file diff --git a/appkits/qpyapp/src/qpyapp/conf/loaders.py b/appkits/qpyapp/src/qpyapp/conf/loaders.py new file mode 100644 index 0000000..5f2bf25 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/conf/loaders.py @@ -0,0 +1,5 @@ + +from dotenv import load_dotenv + +# Load environment variables from the .env file (if present) +load_dotenv() diff --git a/appkits/qpyapp/src/qpyapp/tasks/__init__.py b/appkits/qpyapp/src/qpyapp/tasks/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/src/qpyapp/tasks/base.py b/appkits/qpyapp/src/qpyapp/tasks/base.py new file mode 100644 index 0000000..5c1ae45 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/tasks/base.py @@ -0,0 +1,95 @@ +import os +import platform +import subprocess +import sys +import errors as e +from . import __doc__ as dcs +from .task import * + + +def env(key: t.Text, default: t.Optional[t.Any] = None) -> t.Any: + """ + Wrapper function for ``os.environ.get`` to access enviornment + variables in your tasks. + + :param key: Dictionary key to get. + :type key: ``Text`` + :param default: Value to return if key isn't found. Defaults to ``None``. + :type default: ``Any``, optional + + :rtype: ``Any`` + """ + return os.environ.get(key, default) + + +def export(**kv: t.Any) -> t.Union[t.Any, t.NoReturn]: + """ + Sets given mapping of keyword arguments as enviornment + variables that can be accessed from ``pyke.env`` or + ``os.environ``. Uses OS independent method to set env + vars in running process. + + :rtype: ``Union[Any, NoReturn]`` + """ + + cmd = "export" + + if platform.system() == "Windows": + cmd = "set" + + for k, v in kv.items(): + os.environ[k] = str(v) + subprocess.Popen(f"{cmd} {k}={v}", stdout=subprocess.PIPE, shell=True) + + if len(kv.keys()) == 1: + return list(kv.values())[0] + else: + return + + +def run() -> t.NoReturn: + """ + Starts the Pykefile runner and parses ``sys.argv`` to run specified + tasks. Should only be run `after` all tasks have been specified. + + :rtype: ``NoReturn`` + """ + args = [] + + for i, value in enumerate(sys.argv): + if value == "---": + args = sys.argv[i + 2:] + + if args == list(["--help"]): + print(dcs) + exit(0) + + if not args: + todo = default_task() + + if not todo: + raise e.NoDefaultTaskError + else: + exec_task(todo, args[0:]) + else: + task = get_task(" ".join(args)) + + if not task: + raise e.NoTaskFoundError() + + exec_task(task, args) + + exit(0) + + +def shell(cmd: t.Text) -> sp.CompletedProcess: + """ + Wrapper function for ``subprocess.run``. Runs given + command in the shell and returns the completed process. + + :param cmd: Command to run in the shell. + :type cmd: ``Text`` + + :rtype: ``subprocess.CompletedProcess`` + """ + return sp.run(cmd, shell=True) diff --git a/appkits/qpyapp/src/qpyapp/tasks/containers.py b/appkits/qpyapp/src/qpyapp/tasks/containers.py new file mode 100644 index 0000000..14e6ba2 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/tasks/containers.py @@ -0,0 +1,72 @@ +import abc +import inspect +import typing +from typing import Any + +from box import Box + +from . import loaders + + +class AbsContainer(abc.ABC): + + def __init__(self, *args, **kwargs): + self.lookup_table = {} + self.router = kwargs["router"] + + def register(self, registry: Any, identity: typing.Hashable): + self.lookup_table[identity] = registry + + def export(self): + return self.lookup_table + + def get(self, identity: Any): + return self.lookup_table[identity] + + +class ProviderContainer(AbsContainer): + + def __init__(self, router="Provider"): + super().__init__(router=router) + + +class ServiceContainer(AbsContainer): + + def __init__(self, router="Service"): + super().__init__(router=router) + self.services = Box() + self.handlers = Box() + + def register(self, spell: Any, identity: typing.Hashable): + if inspect.isclass(spell): + self.services[spell.__name__] = spell ## todo: remove + self.handlers.update(loaders.load_class_to_method_lookup_table(spell.__init__(spell))) + if inspect.ismodule(spell): + modules, methods = loaders.load_module_to_method_lookup_table(spell) + self.services.update(**modules) + self.handlers.update(**methods) + self.lookup_table[identity] = spell + return self + + def get_spell(self, identity: Any): + return self.handlers[identity] + + def add_handler(self, handler: Any): + self.handlers[handler.__name__] = handler + return self + + @staticmethod + def __dynamic_call_func(func, http_json_model): + t = inspect.signature(func) + args = [] + for item in t.parameters.items(): + args.append(getattr(http_json_model, item[0])) + return func(*args) + + def call_service(self, service_name: Any, request_data: Any): + handler = self.handlers.get(service_name) + return self.__dynamic_call_func(handler, request_data) + + +providers = ProviderContainer() +services = ServiceContainer() diff --git a/appkits/qpyapp/src/qpyapp/tasks/errors.py b/appkits/qpyapp/src/qpyapp/tasks/errors.py new file mode 100644 index 0000000..ba9eb1b --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/tasks/errors.py @@ -0,0 +1,19 @@ +class NoRunFileFound(Exception): + """Could not find a valid `Pykefile` in the current directory.""" + + def __str__(self): + return "Could not find a valid `Pykefile` in the current directory." + + +class NoTaskFoundError(Exception): + """Could not find given task name.""" + + def __str__(self): + return "Could not find given task name." + + +class NoDefaultTaskError(Exception): + """No default task has been specified.""" + + def __str__(self): + return "No default task has been specified." diff --git a/appkits/qpyapp/src/qpyapp/tasks/exceptions.py b/appkits/qpyapp/src/qpyapp/tasks/exceptions.py new file mode 100644 index 0000000..c48375c --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/tasks/exceptions.py @@ -0,0 +1,10 @@ +from typing import Callable + + +class InjectorException(Exception): + pass + + +class ConstructorTypeError(TypeError): + def __init__(self, constructor: Callable, constructor_error: TypeError): + super(ConstructorTypeError, self).__init__("%s raised an error: %s" % (constructor, constructor_error)) diff --git a/appkits/qpyapp/src/qpyapp/tasks/loaders.py b/appkits/qpyapp/src/qpyapp/tasks/loaders.py new file mode 100644 index 0000000..04e211e --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/tasks/loaders.py @@ -0,0 +1,87 @@ +from __future__ import annotations + +import importlib +import inspect +from pathlib import Path +from typing import List, Dict, Callable, Hashable, Any + + +class LoaderError(Exception): + pass + + +def to_package_format(path: Path) -> str: + module_fs_path = ".".join(path.parts) + module = module_fs_path.replace(".py", "") + if module.endswith(".__init__"): + return module.replace(".__init__", "") + + return module + + +def discover(path: Path, app_path: str): + dirs: list[Path] = [path] + while dirs: + module = dirs.pop(0) + for sub_module in module.iterdir(): + if sub_module.is_dir(): + dirs.append(sub_module) + else: + if sub_module.name.endswith(".py"): + try: + mod = to_package_format(sub_module) + if mod not in app_path: + importlib.import_module(mod) + except ModuleNotFoundError as e: + raise LoaderError(str(e)) + + +def autodiscover_modules(modules: List[str], app_path: str): + """Utility to automatically import the app's modules so there is + no need to manual importing controllers, services, etc, to provide + the necessary registry for DI + + Args: + modules: + app_path: + + Returns: + None + + """ + + for module in modules: + app_root = Path(module) + + if not app_root.is_dir(): + raise LoaderError( + f"{app_root.resolve()} is not a dir. Autodiscovery must be called on a dir." + ) + + discover(app_root, app_path) + + +def load_class_to_method_lookup_table(service: Any) -> Dict[Hashable, Callable]: + result: Dict[Hashable, Callable] = {} + for member in dir(service): + member_instance = getattr(service, member) + if inspect.ismethod(member_instance): + result[".".join([type(service).__name__, member])] = member_instance + return result + + +def load_module_to_method_lookup_table(module: str | type) -> (Dict[Hashable, Callable], Dict[Hashable, Callable]): + module_mapping: Dict[Hashable, Callable] = {} + method_mapping: Dict[Hashable, Callable] = {} + if not inspect.ismodule(module): + module_for_lookup = importlib.import_module(module) + else: + module_for_lookup = module + module_mapping[module_for_lookup.__name__] = module_for_lookup + + for member in dir(module_for_lookup): + member_instance = getattr(module_for_lookup, member) + if inspect.isclass(member_instance): + if not inspect.isabstract(member_instance): + method_mapping.update(load_class_to_method_lookup_table(member_instance())) + return module_mapping, method_mapping diff --git a/appkits/qpyapp/src/qpyapp/tasks/runner.py b/appkits/qpyapp/src/qpyapp/tasks/runner.py new file mode 100644 index 0000000..6397446 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/tasks/runner.py @@ -0,0 +1,13 @@ +import typing as t + +import subprocess as sp +import sys + + +def runner() -> t.NoReturn: + argstr = " ".join(sys.argv) + cmd = "python task files" + + cp = sp.run(f"{cmd} --- {argstr}", shell=True) + + exit(cp.returncode) diff --git a/appkits/qpyapp/src/qpyapp/tasks/runners.py b/appkits/qpyapp/src/qpyapp/tasks/runners.py new file mode 100644 index 0000000..9e893f3 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/tasks/runners.py @@ -0,0 +1,25 @@ +from typing import Union, Any + +from qpyapp.tasks.containers import AbsContainer + + +class SpellRunner: + + def __init__(self): + self.handlers = {} + self.run_data = [] + + def run_script(self, data: Any): + self.run_data = data + + def run(self): + for item in self.run_data: + processor = self.handlers["providers"].get(HttpProcessor) + result = processor.invoke(item) + print(result.json()) + + def add_spells(self, container: Union[AbsContainer, Any], identity: Any): + self.handlers[identity] = container + + +runner = SpellRunner() diff --git a/appkits/qpyapp/src/qpyapp/tasks/task.py b/appkits/qpyapp/src/qpyapp/tasks/task.py new file mode 100644 index 0000000..e8050c0 --- /dev/null +++ b/appkits/qpyapp/src/qpyapp/tasks/task.py @@ -0,0 +1,79 @@ +import re +import typing as t + + +def task(*args, **options: t.Any) -> t.Callable: + r""" + Function decorator to create a Pykefile task with a name + and certain options. + + :param name: Name of the task to be called from the ``pyke`` + command. If no name is given, the function name is used. + If the task uses a regex ``pattern`` option, that pattern + will used and matched against args passed to ``pyke``. + :type name: `Text`, optional + + :options: + * *default* (``bool``) -- + Setting to ``True`` will set the task as default. This + task will run when ``pyke`` doesn't recieve any arguments. + * *deps* (``Iterable[Text]``) -- + List of task names to run before the current task. Tasks + that use patterns cannot be used as task dependencies. + * *pattern* (``Text``, `valid regex`) -- + Regex pattern to match against args. All found matches + will be passed to the task function as string arguments. + + """ + + def decorator(func: t.Callable) -> t.Callable: + try: + name = args[0] + except IndexError: + if options.get("pattern"): + name = options["pattern"] + else: + name = func.__name__ + + tasks[name] = {"f": func, "o": options} + + return func + + return decorator + + +def default_task() -> t.Union[t.Callable, t.NoReturn]: + for _, task in tasks.items(): + if task["o"].get("default"): + return task + + return None + + +def get_task(target: t.Text) -> t.Mapping: + for n, task in tasks.items(): + print(re.findall(n, target)) + if re.findall(n, target): + return task + + +def exec_task( + task: t.Union[t.Mapping, t.Text], args: t.Optional[t.Iterable] = [] +) -> t.Any: + if isinstance(task, t.Text): + task: t.Mapping = get_task(task) + + rlist: t.Iterable = [] + opts: t.Mapping = task["o"] + + if opts.get("deps"): + for i in opts["deps"]: + try: + tasks[i]["f"]() + except KeyError as e: + raise e.NoTaskFoundError(i) + + if opts.get("pattern"): + rlist = re.findall(opts["pattern"], " ".join(args)) + + return task["f"](*rlist) diff --git a/appkits/qpyapp/src/qpycases/__init__.py b/appkits/qpyapp/src/qpycases/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/src/qpycases/auto_cut/__init__.py b/appkits/qpyapp/src/qpycases/auto_cut/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/src/qpycases/proxy_checker/__init__.py b/appkits/qpyapp/src/qpycases/proxy_checker/__init__.py new file mode 100644 index 0000000..4e2605a --- /dev/null +++ b/appkits/qpyapp/src/qpycases/proxy_checker/__init__.py @@ -0,0 +1 @@ +from .verifier import * \ No newline at end of file diff --git a/appkits/qpyapp/src/qpycases/proxy_checker/proxies_fetcher.py b/appkits/qpyapp/src/qpycases/proxy_checker/proxies_fetcher.py new file mode 100644 index 0000000..d41a7d4 --- /dev/null +++ b/appkits/qpyapp/src/qpycases/proxy_checker/proxies_fetcher.py @@ -0,0 +1,179 @@ + +proxies_url="https://github.com/XiaomingX/proxy-pool/blob/main/proxy.txt" + +def fetch_from_github(): + response = httpx.get(proxies_url) + return response.content + + +# -*- coding: utf-8 -*- + +import re +from time import sleep +import requests +from lxml import html + +## 2024.11.26 : 已经修复了,从代理网站获取候选验证的代理... +requests.packages.urllib3.disable_warnings(requests.packages.urllib3.exceptions.InsecureRequestWarning) + +class ProxyFetcher: + """ + Proxy getter + """ + + @staticmethod + def get_headers(): + """Generate headers to make requests look like a browser""" + return { + "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3", + "Accept-Language": "en-US,en;q=0.9", + "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8", + "Connection": "keep-alive" + } + + @staticmethod + def write_proxy_to_file(proxy): + """Append the proxy to proxy.txt file""" + with open("proxy.txt", "a+") as file: + file.write(proxy + "\n") + + @staticmethod + def free_proxy_03(): + """开心代理""" + target_urls = [ + "http://www.kxdaili.com/dailiip/1/1.html", + "http://www.kxdaili.com/dailiip/1/2.html", + "http://www.kxdaili.com/dailiip/1/3.html", + "http://www.kxdaili.com/dailiip/1/4.html", + "http://www.kxdaili.com/dailiip/1/5.html", + "http://www.kxdaili.com/dailiip/1/6.html", + "http://www.kxdaili.com/dailiip/1/7.html", + "http://www.kxdaili.com/dailiip/1/8.html", + "http://www.kxdaili.com/dailiip/1/9.html", + "http://www.kxdaili.com/dailiip/1/10.html", + "http://www.kxdaili.com/dailiip/2/1.html", + "http://www.kxdaili.com/dailiip/2/2.html", + "http://www.kxdaili.com/dailiip/2/3.html", + "http://www.kxdaili.com/dailiip/2/4.html", + "http://www.kxdaili.com/dailiip/2/5.html", + "http://www.kxdaili.com/dailiip/2/6.html", + "http://www.kxdaili.com/dailiip/2/7.html", + "http://www.kxdaili.com/dailiip/2/8.html", + "http://www.kxdaili.com/dailiip/2/9.html", + "http://www.kxdaili.com/dailiip/2/10.html", + ] + headers = ProxyFetcher.get_headers() + for url in target_urls: + response = requests.get(url, headers=headers, verify=False) + tree = html.fromstring(response.content) + for tr in tree.xpath("//table[@class='active']//tr")[1:]: + ip = "".join(tr.xpath('./td[1]/text()')).strip() + port = "".join(tr.xpath('./td[2]/text()')).strip() + proxy = f"{ip}:{port}" + ProxyFetcher.write_proxy_to_file(proxy) + yield proxy + + @staticmethod + def free_proxy_05(page_count=10): + """ + 快代理 https://www.kuaidaili.com + """ + base_urls = [ + 'https://www.kuaidaili.com/free/inha/{}/', + 'https://www.kuaidaili.com/free/intr/{}/' + ] + headers = ProxyFetcher.get_headers() + + # 构造所有需要爬取的 URL + urls_to_scrape = [] + for page_index in range(1, page_count + 1): + for base_url in base_urls: + urls_to_scrape.append(base_url.format(page_index)) + + # 爬取每个 URL 并提取代理信息 + for url in urls_to_scrape: + response = requests.get(url, headers=headers, verify=False) + tree = html.fromstring(response.content) + rows = tree.xpath('.//table//tr')[1:] # 跳过表头 + sleep(1) # 必须 sleep,防止频率过高被封禁 + + for row in rows: + ip = row.xpath('./td[1]/text()')[0].strip() + port = row.xpath('./td[2]/text()')[0].strip() + proxy = f"{ip}:{port}" + ProxyFetcher.write_proxy_to_file(proxy) + yield proxy + + @staticmethod + def free_proxy_07(): + """云代理""" + urls = ['http://www.ip3366.net/free/?stype=1&page=1', + 'http://www.ip3366.net/free/?stype=1&page=2', + 'http://www.ip3366.net/free/?stype=1&page=3', + 'http://www.ip3366.net/free/?stype=1&page=4', + 'http://www.ip3366.net/free/?stype=1&page=5', + 'http://www.ip3366.net/free/?stype=1&page=6', + 'http://www.ip3366.net/free/?stype=1&page=7', + 'http://www.ip3366.net/free/?stype=1&page=8', + 'http://www.ip3366.net/free/?stype=1&page=9', + 'http://www.ip3366.net/free/?stype=1&page=10', + 'http://www.ip3366.net/free/?stype=2&page=1', + 'http://www.ip3366.net/free/?stype=2&page=2', + 'http://www.ip3366.net/free/?stype=2&page=3', + 'http://www.ip3366.net/free/?stype=2&page=4', + 'http://www.ip3366.net/free/?stype=2&page=5', + 'http://www.ip3366.net/free/?stype=2&page=6', + 'http://www.ip3366.net/free/?stype=2&page=7', + 'http://www.ip3366.net/free/?stype=2&page=8', + 'http://www.ip3366.net/free/?stype=2&page=9', + 'http://www.ip3366.net/free/?stype=2&page=10', + ] + headers = ProxyFetcher.get_headers() + for url in urls: + response = requests.get(url, headers=headers, timeout=10, verify=False) + proxies = re.findall(r'(\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})[\s\S]*?(\d+)', response.text) + for proxy in proxies: + proxy_str = ":".join(proxy) + ProxyFetcher.write_proxy_to_file(proxy_str) + yield proxy_str + + @staticmethod + def free_proxy_10(): + """ 89免费代理 """ + headers = ProxyFetcher.get_headers() + response = requests.get("https://www.89ip.cn/index_1.html", headers=headers, verify=False, timeout=10) + proxies = re.findall( + r'[\s\S]*?(\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})[\s\S]*?[\s\S]*?[\s\S]*?(\d+)[\s\S]*?', + response.text) + for proxy in proxies: + proxy_str = ':'.join(proxy) + ProxyFetcher.write_proxy_to_file(proxy_str) + yield proxy_str + + @staticmethod + def free_proxy_11(): + """ 稻壳代理 https://www.docip.net/ """ + headers = ProxyFetcher.get_headers() + response = requests.get("https://www.docip.net/data/free.json", headers=headers, verify=False, timeout=10) + try: + data = response.json().get('data', []) + for each in data: + proxy = each['ip'] + ProxyFetcher.write_proxy_to_file(proxy) + yield proxy + except Exception as e: + print(e) + +def main(): + proxy_fetcher = ProxyFetcher() + for proxy_source in [proxy_fetcher.free_proxy_03, proxy_fetcher.free_proxy_05, + proxy_fetcher.free_proxy_07, proxy_fetcher.free_proxy_10, proxy_fetcher.free_proxy_11]: + try: + print(f"Fetching proxies from: {proxy_source.__name__}") + for proxy in proxy_source(): + print(proxy) + except: + pass + +if __name__ == '__main__': + main() \ No newline at end of file diff --git a/appkits/qpyapp/src/qpycases/proxy_checker/verifier.py b/appkits/qpyapp/src/qpycases/proxy_checker/verifier.py new file mode 100644 index 0000000..5f417e2 --- /dev/null +++ b/appkits/qpyapp/src/qpycases/proxy_checker/verifier.py @@ -0,0 +1,125 @@ +# -*- coding: utf-8 -*- + +import re +import aiohttp +import asyncio +import random +import os +from datetime import datetime + +USER_AGENTS = [ + 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:34.0) Gecko/20100101 Firefox/34.0', + 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3', + 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.1 Safari/605.1.15', + 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:89.0) Gecko/20100101 Firefox/89.0', + 'Mozilla/5.0 (iPhone; CPU iPhone OS 14_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/14.0 Mobile/15E148 Safari/604.1' +] + +# 匹配代理IP的正则表达式 +IP_REGEX = re.compile(r"(.*:.*@)?\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}:\d{1,5}") + + +class ProxyValidator: + # 预验证和HTTP验证的列表 + pre_validators = [] + http_validators = [] + + @classmethod + def add_pre_validator(cls, func): + """添加预验证函数""" + cls.pre_validators.append(func) + return func + + @classmethod + def add_http_validator(cls, func): + """添加HTTP验证函数""" + cls.http_validators.append(func) + return func + + +@ProxyValidator.add_pre_validator +def validate_format(proxy): + """检查代理格式是否正确""" + return True if IP_REGEX.fullmatch(proxy) else False + + +async def validate_http_proxy(session, semaphore, proxy): + """验证HTTP代理是否有效""" + async with semaphore: + proxies = { + "http": f"http://{proxy}", + "https": f"https://{proxy}" + } + headers = { + 'User-Agent': random.choice(USER_AGENTS) + } + + try: + async with session.get("http://www.ip3366.net/", headers=headers, proxy=proxies['http'], + timeout=3) as response: + return response.status == 200 + except (aiohttp.ClientError, asyncio.TimeoutError): + return False + +def read_local_proxies(): + try: + with open('./proxies.txt', 'r') as file: + print(f"current work dir is {os.getcwd()}") + proxies = list(set(line.strip() for line in file.readlines() if line.strip())) + return proxies + except FileNotFoundError: + print("Error: proxies.txt is not Found") + print(f"current work dir is {os.getcwd()}") + return [] + +async def main(): + """主函数,串联各个验证步骤""" + proxies = read_local_proxies() + print(f"共读取到 {len(proxies)} 个代理") + + current_date = datetime.now().strftime("%Y-%m-%d") + os.makedirs(current_date, exist_ok=True) + readme_path = os.path.join(current_date, 'PROXIES.md') + if not os.path.exists(readme_path): + with open(readme_path, 'w') as readme_file: + readme_file.write("# 验证通过的代理列表\n\n") + + async with aiohttp.ClientSession() as session: + tasks = [] + semaphore = asyncio.Semaphore(100) # 限制并发数为100 + for proxy in proxies: + print(f"\n开始验证代理: {proxy}") + + print("\u251c── 进行预验证...") + pre_validation_passed = True + for validator in ProxyValidator.pre_validators: + if not validator(proxy): + print(f"\u251c── 预验证失败: {validator.__name__}") + pre_validation_passed = False + break + + if not pre_validation_passed: + continue + print("\u251c── 预验证通过") + + print("\u251c── 进行HTTP验证...") + task = validate_http_proxy(session, semaphore, proxy) # 将信号量传递给任务 + tasks.append((proxy, task)) + + results = await asyncio.gather(*(task for _, task in tasks)) + + for (proxy, task), result in zip(tasks, results): + if result: + print(f"\u2514── HTTP验证通过,代理可用!") + try: + with open(readme_path, 'a+') as readme_file: + readme_file.write(f" - {proxy}" + '\n') + print("\u2514── 已将代理追加到 README.md 文件末尾") + except IOError: + print("\u2514── 错误: 无法写入 README.md 文件") + else: + print(f"\u2514── HTTP验证失败: {proxy}") + + +if __name__ == "__main__": + asyncio.run(main()) \ No newline at end of file diff --git a/appkits/qpyapp/src/qpynotes/__init__.py b/appkits/qpyapp/src/qpynotes/__init__.py new file mode 100644 index 0000000..d1e6025 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/__init__.py @@ -0,0 +1,40 @@ +# 4 hours Python bootcamp!! +# +# What you'll learn: +# - Installing Python +# - Setting up an IDE +# - Basics Syntax +# - Variables & Datatypes +# - Looping in Python +# - Exception handling +# - Modules & pip +# - Mini hands-on project +# +# AI Python +# • Learn Python basics and AI for data tasks +# • Solve real problems in business, marketing, and journalism +# • Use AI tools for debugging and simulation +# +# https://t.co/O1Doj4gwvr +# +# https://www.youtube.com/@coreyms +# https://www.deeplearning.ai/short-courses/ai-python-for-beginners/ +# +# There isn't a better place to learn #Python than +# @davidjmalan +# 's CS50p. +# +# Beautiful explanations and great projects. +# It's a complete package. +# +# Highly recommended!! +# +# Check this out 👇 +# https://cs50.harvard.edu/python/2022/ +# +# 5️⃣ Project based learning +# +# You don't learn unless you get your hands dirty. 👊 +# +# This Github repo contains a curated list of great python projects across many domains and areas of interest. +# diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/04-list.ipynb b/appkits/qpyapp/src/qpynotes/basic/basic/04-list.ipynb new file mode 100644 index 0000000..12293fd --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/04-list.ipynb @@ -0,0 +1,324 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "source": [ + "## 4. python list\n", + "\n", + "- what is list/array\n", + "- list operations\n", + "- list function" + ], + "metadata": { + "collapsed": false + }, + "id": "92669b4d5bdd6a72" + }, + { + "cell_type": "markdown", + "source": [ + "### 4.1 What is list" + ], + "metadata": { + "collapsed": false + }, + "id": "7786c2db0226c5bd" + }, + { + "cell_type": "code", + "execution_count": 2, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "[35, 24, 62, 52, 30, 30, 17]\n", + "7\n", + "\n", + "\n" + ] + } + ], + "source": [ + "my_list = list()\n", + "my_other_list = []\n", + "print(len(my_list))\n", + "my_list = [35, 24, 62, 52, 30, 30, 17]\n", + "print(my_list)\n", + "print(len(my_list))\n", + "my_other_list = [35, 1.77, \"Name\", \"Fullname\"]\n", + "print(type(my_list))\n", + "print(type(my_other_list))\n", + "# index\n", + "# -> 0 1 2\n", + "names : list[str] = [\"First\",\"Second\", \"Third\"]\n", + "# <- -3 -2 -1" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-12-02T02:44:41.426476Z", + "start_time": "2023-12-02T02:44:41.420689Z" + } + }, + "id": "70dd503cf149efb3" + }, + { + "cell_type": "markdown", + "source": [ + "### 4.2 List operations" + ], + "metadata": { + "collapsed": false + }, + "id": "f043fdf2ff45f6a8" + }, + { + "cell_type": "code", + "execution_count": 3, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Second\n", + "35\n", + "1.77\n", + "Fullname\n", + "35\n", + "2\n", + "2\n", + "Name\n", + "35 1.77 35 Fullname\n", + "[35, 24, 62, 52, 30, 30, 17, 35, 1.77, 'Name', 'Fullname']\n", + "[35, 1.77, 'Name', 'Fullname', 'Dev']\n", + "[35, 'InsertOne', 1.77, 'Name', 'Fullname', 'Dev']\n", + "[35, 'Azul', 1.77, 'Name', 'Fullname', 'Dev']\n", + "[35, 1.77, 'Name', 'Fullname', 'Dev']\n", + "[35, 24, 62, 52, 30, 17]\n", + "17\n", + "[35, 24, 62, 52, 30]\n", + "62\n", + "[35, 24, 52, 30]\n", + "[35, 24, 30]\n", + "[]\n", + "[35, 24, 30]\n", + "[30, 24, 35]\n", + "[24, 30, 35]\n", + "[30, 35]\n", + "Hello Python\n", + "\n" + ] + } + ], + "source": [ + "print(names[-2])\n", + "print(my_other_list[0])\n", + "print(my_other_list[1])\n", + "print(my_other_list[-1])\n", + "print(my_other_list[-4])\n", + "print(my_list.count(30))\n", + "# print(my_other_list[4]) IndexError\n", + "# print(my_other_list[-5]) IndexError\n", + "\n", + "print(my_other_list.index(\"Name\"))\n", + "\n", + "age, height, name, surname = my_other_list\n", + "print(name)\n", + "\n", + "name, height, age, surname = my_other_list[2], my_other_list[1], my_other_list[0], my_other_list[3]\n", + "print(age,height, age, surname)\n", + "\n", + "# list operations\n", + "\n", + "print(my_list + my_other_list)\n", + "my_other_list.append(\"Dev\")\n", + "print(my_other_list)\n", + "\n", + "my_other_list.insert(1, \"InsertOne\")\n", + "print(my_other_list)\n", + "\n", + "my_other_list[1] = \"Azul\"\n", + "print(my_other_list)\n", + "\n", + "my_other_list.remove(\"Azul\")\n", + "print(my_other_list)\n", + "\n", + "my_list.remove(30)\n", + "print(my_list)\n", + "\n", + "print(my_list.pop())\n", + "print(my_list)\n", + "\n", + "my_pop_element = my_list.pop(2)\n", + "print(my_pop_element)\n", + "print(my_list)\n", + "\n", + "del my_list[2]\n", + "print(my_list)\n", + "my_new_list = my_list.copy()\n", + "\n", + "my_list.clear()\n", + "print(my_list)\n", + "print(my_new_list)\n", + "\n", + "my_new_list.reverse()\n", + "print(my_new_list)\n", + "\n", + "my_new_list.sort()\n", + "print(my_new_list)\n", + "\n", + "print(my_new_list[1:3])\n", + "my_list = \"Hello Python\"\n", + "print(my_list)\n", + "print(type(my_list))\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-12-02T02:44:44.203521Z", + "start_time": "2023-12-02T02:44:44.168093Z" + } + }, + "id": "2ffc8a7f35a030db" + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "## Tuple", + "id": "ad9d1355b009b1d9" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "\n", + "### Tuples ###\n", + "my_tuple = tuple()\n", + "my_other_tuple = ()\n", + "\n", + "my_tuple = (35, 1.77, \"Name\", \"FullName\")\n", + "my_other_tuple = (35, 60, 30)\n", + "\n", + "print(my_tuple)\n", + "print(type(my_tuple))\n", + "\n", + "print(my_tuple[0])\n", + "print(my_tuple[-1])\n", + "# print(my_tuple[4]) IndexError\n", + "# print(my_tuple[-6]) IndexError\n", + "\n", + "print(my_tuple.count(\"Name\"))\n", + "print(my_tuple.index(\"FullName\"))\n", + "print(my_tuple.index(\"Name\"))\n", + "\n", + "my_sum_tuple = my_tuple + my_other_tuple\n", + "print(my_sum_tuple)\n", + "\n", + "print(my_sum_tuple[3:6])\n", + "\n", + "my_tuple = list(my_tuple)\n", + "print(type(my_tuple))\n", + "\n", + "my_tuple[4] = \"NameFull\"\n", + "my_tuple.insert(1, \"Azul\")\n", + "my_tuple = tuple(my_tuple)\n", + "print(my_tuple)\n", + "print(type(my_tuple))\n", + "\n", + "del my_tuple\n", + "# print(my_tuple) NameError: name 'my_tuple' is not defined\n" + ], + "id": "84a91281dcca558" + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "## Set", + "id": "1e69ca51f478b088" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "### Sets ###\n", + "\n", + "# Definition\n", + "\n", + "my_set = set()\n", + "my_other_set = {}\n", + "\n", + "print(type(my_set))\n", + "print(type(my_other_set))\n", + "\n", + "my_other_set = {\"Name\", \"FullName\", 35}\n", + "print(type(my_other_set))\n", + "\n", + "print(len(my_other_set))\n", + "\n", + "# Insert\n", + "\n", + "my_other_set.add(\"AliasName\")\n", + "\n", + "print(my_other_set)\n", + "\n", + "my_other_set.add(\"AnotherAliasName\")\n", + "\n", + "print(my_other_set)\n", + "\n", + "# Operations\n", + "\n", + "print(\"Name\" in my_other_set)\n", + "print(\"Name1\" in my_other_set)\n", + "\n", + "\n", + "my_other_set.remove(\"Name\")\n", + "print(my_other_set)\n", + "\n", + "my_other_set.clear()\n", + "print(len(my_other_set))\n", + "\n", + "del my_other_set\n", + "# print(my_other_set) NameError: name 'my_other_set' is not defined\n", + "\n", + "# Transformation\n", + "my_set = {\"Name\", \"FullName\", 35}\n", + "my_list = list(my_set)\n", + "print(my_list)\n", + "print(my_list[0])\n", + "\n", + "my_other_set = {\"Kotlin\", \"Swift\", \"Python\"}\n", + "my_new_set = my_set.union(my_other_set)\n", + "print(my_new_set.union(my_new_set).union(my_set).union({\"JavaScript\", \"C#\"}))\n", + "print(my_new_set.difference(my_set))\n" + ], + "id": "1ae45a7a6bb474a0" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/07-dict-all.ipynb b/appkits/qpyapp/src/qpynotes/basic/basic/07-dict-all.ipynb new file mode 100644 index 0000000..5b157cb --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/07-dict-all.ipynb @@ -0,0 +1,264 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2023-12-02T02:53:35.566683Z", + "start_time": "2023-12-02T02:53:35.554889Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'education': 'Master', 'fname': 'FullName', 'name': 'Name'}\n" + ] + } + ], + "source": [ + "\n", + "from typing import Dict, Union, Optional\n", + "import pprint\n", + "\n", + "Key = Union[int, str] # create custom type\n", + "Value = Union[int, str, list, dict, tuple, set]\n", + "\n", + "# List 0 1 2\n", + "data: Dict[Key, Value] = {\n", + " \"fname\": \"FullName\",\n", + " \"name\": \"Name\",\n", + " \"education\": \"Master\"\n", + "}\n", + "\n", + "pprint.pprint(data)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{1, 2, 3, 7}\n" + ] + } + ], + "source": [ + "data : set = {7,1,2,1,1,1,1,3,2}\n", + "print(data) # return unique" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['add',\n", + " 'clear',\n", + " 'copy',\n", + " 'difference',\n", + " 'difference_update',\n", + " 'discard',\n", + " 'intersection',\n", + " 'intersection_update',\n", + " 'isdisjoint',\n", + " 'issubset',\n", + " 'issuperset',\n", + " 'pop',\n", + " 'remove',\n", + " 'symmetric_difference',\n", + " 'symmetric_difference_update',\n", + " 'union',\n", + " 'update']" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "[i for i in dir(data) if \"__\" not in i]" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2023-12-02T02:53:50.470792Z", + "start_time": "2023-12-02T02:53:50.192034Z" + } + }, + "outputs": [ + { + "ename": "TypeError", + "evalue": "'set' object is not subscriptable", + "output_type": "error", + "traceback": [ + "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", + "\u001B[0;31mTypeError\u001B[0m Traceback (most recent call last)", + "Cell \u001B[0;32mIn[2], line 2\u001B[0m\n\u001B[1;32m 1\u001B[0m data : \u001B[38;5;28mset\u001B[39m \u001B[38;5;241m=\u001B[39m {\u001B[38;5;241m7\u001B[39m,\u001B[38;5;241m1\u001B[39m,\u001B[38;5;241m2\u001B[39m,\u001B[38;5;241m1\u001B[39m,\u001B[38;5;241m1\u001B[39m,\u001B[38;5;241m1\u001B[39m,\u001B[38;5;241m1\u001B[39m,\u001B[38;5;241m3\u001B[39m,\u001B[38;5;241m2\u001B[39m}\n\u001B[0;32m----> 2\u001B[0m \u001B[38;5;28mprint\u001B[39m(\u001B[43mdata\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;241;43m0\u001B[39;49m\u001B[43m]\u001B[49m) \u001B[38;5;66;03m# return unique\u001B[39;00m\n", + "\u001B[0;31mTypeError\u001B[0m: 'set' object is not subscriptable" + ] + } + ], + "source": [ + "data : set = {7,1,2,1,1,1,1,3,2}\n", + "print(data[0]) # return unique" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Dictionary\n", + "* key:value (items)\n", + " * key replacement of indexes\n", + " * value item\n", + "\n", + "* dict_variable[key]\n", + " * dict_variable[new_key] = new_value\n", + " * add new value\n", + " * update value\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "is_executing": true + }, + "outputs": [], + "source": [ + "from typing import Dict, Union, Optional\n", + "import pprint\n", + "\n", + "Key = Union[int, str] # create custom type\n", + "Value = Union[int, str, list, dict, tuple, set]\n", + "\n", + "# List 0 1 2\n", + "data: Dict[Key, Value] = {\n", + " \"fname\": \"FullName\",\n", + " \"name\": \"Name\",\n", + " \"education\": \"Master\"\n", + "}\n", + "\n", + "pprint.pprint(data)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{1, 2, 3}\n", + "[1, 2, 3]\n" + ] + } + ], + "source": [ + "abc : set = {1,2,3,2,2,2,1}\n", + "print(abc)\n", + "xyz : list[int] = list(abc)\n", + "print(xyz)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "is_executing": true + }, + "outputs": [], + "source": [ + "{v:k for k,v in data.items()}\n" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "9 7\n" + ] + } + ], + "source": [ + "a : int = 7\n", + "b : int = 9\n", + "\n", + "a, b = b, a # shuffle\n", + "\n", + "print(a,b)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "is_executing": true + }, + "outputs": [], + "source": [ + "\n", + "keys : list[str] = ['id','name','fname','course']\n", + "\n", + "data : dict[Key,Value] = {}\n", + "\n", + "print(data)\n", + "\n", + "data = data.fromkeys(keys) # inline\n", + "\n", + "print(data)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "python12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.0" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/12_exceptions.py b/appkits/qpyapp/src/qpynotes/basic/basic/12_exceptions.py new file mode 100644 index 0000000..9d4f22c --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/12_exceptions.py @@ -0,0 +1,33 @@ +# Clase en vídeo: https://youtu.be/Kp4Mvapo5kc?t=32030 + +### Exception Handling ### + +numberOne = 5 +numberTwo = 1 +numberTwo = "1" + +# Exceptions base: try except + +try: + print(numberOne + numberTwo) + print("No Exceptions") +except Exception as e: + print("Error occurred", e) + +try: + print(numberOne + numberTwo) + print("No Exceptions") +except ValueError as e: + print("Error occurred", e) +except TypeError as e: + print("Error occurred", e) + +try: + print(numberOne + numberTwo) + print("No Exceptions") +except ValueError as error: + print(error) +except Exception as my_random_error_name: + print(my_random_error_name) +finally: + print("final stage") diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/13_modules.py b/appkits/qpyapp/src/qpynotes/basic/basic/13_modules.py new file mode 100644 index 0000000..c6c2657 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/13_modules.py @@ -0,0 +1,22 @@ +# Clase en vídeo: https://youtu.be/Kp4Mvapo5kc?t=34583 + +### Modules ### + +from math import pi as PI_VALUE +import math +from my_module import sumValue, printValue +import my_module + +my_module.sumValue(5, 3, 1) +my_module.printValue("Hola Python!") + + +sumValue(5, 3, 1) +printValue("Hola python") + + +print(math.pi) +print(math.pow(2, 8)) + + +print(PI_VALUE) diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/3-string-more.ipynb b/appkits/qpyapp/src/qpynotes/basic/basic/3-string-more.ipynb new file mode 100644 index 0000000..ac2124f --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/3-string-more.ipynb @@ -0,0 +1,120 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "source": [ + "## 3. python string more \n", + "- slice\n", + "- Reverse\n", + "- more string function" + ], + "metadata": { + "collapsed": false + }, + "id": "af37dcafda217035" + }, + { + "cell_type": "code", + "execution_count": 1, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "p\n", + "o\n", + "6\n", + "yt\n", + "ython\n", + "o\n", + "pto\n", + "nohtyp\n", + "Python\n", + "PYTHON\n", + "1\n", + "False\n", + "True\n", + "python\n", + "False\n", + "False\n", + "False\n" + ] + } + ], + "source": [ + "language = \"python\"\n", + "a, b, c, d, e, f = language\n", + "print(a)\n", + "print(e)\n", + "print(len(language))\n", + "\n", + "# slice\n", + "language_slice = language[1:3]\n", + "print(language_slice)\n", + "\n", + "language_slice = language[1:]\n", + "print(language_slice)\n", + "\n", + "language_slice = language[-2]\n", + "print(language_slice)\n", + "\n", + "language_slice = language[0:6:2]\n", + "print(language_slice)\n", + "\n", + "# reverse\n", + "reversed_language = language[::-1]\n", + "print(reversed_language)\n", + "\n", + "# string functions\n", + "print(language.capitalize())\n", + "print(language.upper())\n", + "print(language.count(\"t\"))\n", + "print(language.isnumeric())\n", + "print(\"1\".isnumeric())\n", + "print(language.lower())\n", + "print(language.lower().isupper())\n", + "print(language.startswith(\"Py\"))\n", + "print(\"Py\" == \"py\")\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-12-02T02:39:09.614633Z", + "start_time": "2023-12-02T02:39:09.608039Z" + } + }, + "id": "e7b6edc459944a22" + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [], + "metadata": { + "collapsed": false + }, + "id": "2cbd7d2745697452" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/4-oeprations.ipynb b/appkits/qpyapp/src/qpynotes/basic/basic/4-oeprations.ipynb new file mode 100644 index 0000000..af33947 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/4-oeprations.ipynb @@ -0,0 +1,1039 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Loop and input from user\n", + "* while\n", + "* for\n", + "* controls\n", + " * break\n", + " * continue\n", + " * pass\n", + "* input with input function\n", + "* input from console\n", + "\n", + "# Loop working on iterative data types\n", + "* list\n", + "* dictionary\n", + "* tuple\n", + "* string" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1, 2, 3, 4, 5, 6]\n" + ] + } + ], + "source": [ + "# 0 1 2 3 4 5\n", + "l1 : list[int] = [1,2,3,4,5,6]\n", + "print(l1)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "2\n", + "3\n", + "4\n", + "5\n", + "6\n" + ] + } + ], + "source": [ + "# 0 1 2 3 4 5\n", + "l1 : list[int] = [1,2,3,4,5,6]\n", + "\n", + "for n in l1:\n", + " print(n)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "current number :1\n", + "current number :2\n", + "current number :3\n", + "current number :4\n", + "current number :5\n", + "current number :6\n" + ] + } + ], + "source": [ + "# 0 1 2 3 4 5\n", + "l1 : list[int] = [1,2,3,4,5,6]\n", + "\n", + "for n in l1:\n", + " print(f\"current number :{n}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "current number :1\n", + "current number :2\n", + "current number :3\n", + "current number :4\n", + "current number :5\n", + "current number :6\n" + ] + } + ], + "source": [ + "# 0 1 2 3 4 5\n", + "l1 : tuple[int] = (1,2,3,4,5,6)\n", + "\n", + "for n in l1:\n", + " print(f\"current number :{n}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "current character :P\n", + "current character :a\n", + "current character :k\n", + "current character :i\n", + "current character :s\n", + "current character :t\n", + "current character :a\n", + "current character :n\n" + ] + } + ], + "source": [ + "# 01234567\n", + "l1 : str = \"Pakistan\"\n", + "\n", + "for c in l1:\n", + " print(f\"current character :{c}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dictionary key name and value is Muhammad Qasim\n", + "dictionary key fname and value is Muhammad Aslam\n" + ] + } + ], + "source": [ + "# iteration perform on keys\n", + "l1 : dict[str,str] = {\"name\":\"Muhammad Qasim\",\"fname\":\"Muhammad Aslam\"}\n", + "\n", + "for k in l1:\n", + " print(f\"dictionary key {k} and value is {l1[k]}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### We can directly perform iteration on set data type" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "set item is 1 \n", + "set item is 2 \n", + "set item is 3 \n", + "set item is 4 \n" + ] + } + ], + "source": [ + "# iteration perform on keys\n", + "l1 : set[int] = {1,2,3,4,1,1,1,1}\n", + "\n", + "for k in l1:\n", + " print(f\"set item is {k} \")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Also apply iteration on set with type casting in list" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "value from list of set : 1 \n", + "value from list of set : 2 \n", + "value from list of set : 3 \n", + "value from list of set : 4 \n" + ] + } + ], + "source": [ + "# \n", + "l1 : list[set[int]] = list({1,2,3,4,1,1,1,1})\n", + "\n", + "for k in l1:\n", + " print(f\"value from list of set : {k} \")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# input from user\n", + "* input function\n", + " * defualt type = string\n", + "* sys.argv (for console input in abc.py file) \n", + " * defualt type = str" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Welecom dear User Mr/Miss Zia khan!\n" + ] + } + ], + "source": [ + "name : str = input(\"What is your name? : \\t\")\n", + "\n", + "print(type(name))\n", + "\n", + "print(f\"Welecom dear User Mr/Miss {name}!\")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "names : list[str] = ['a','b','c']\n", + "fname : list[str] = ['x','y','z']\n", + "age : list[int] = [1,2,3]\n", + "\n", + "zip(names,fname,age)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Welcome dear a, s/o x!\n", + "Welcome dear b, s/o y!\n", + "Welcome dear c, s/o z!\n" + ] + } + ], + "source": [ + "names : list[str] = ['a','b','c']\n", + "fname : list[str] = ['x','y','z']\n", + "age : list[int] = [1,2,3]\n", + "\n", + "list(zip(names,fname,age))\n", + "\n", + "for name,fn, ag in zip(names,fname,age):\n", + " print(f\"Welcome dear {name}, s/o {fn}!\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# While loop\n", + "```\n", + "while logic: # True/False\n", + " loop_body\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "current number is :0\n", + "current number is :1\n", + "current number is :2\n", + "current number is :3\n", + "current number is :4\n", + "current number is :5\n", + "current number is :6\n", + "current number is :7\n", + "current number is :8\n", + "current number is :9\n" + ] + } + ], + "source": [ + "flag : bool = True #flag\n", + "\n", + "current_number : int = 0 #\n", + "\n", + "while flag:\n", + " print(f\"current number is :{current_number}\")\n", + " current_number += 1\n", + "\n", + " if current_number == 10: # flag false at some point\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "current index is :0 and list value is 100\n", + "current index is :1 and list value is 200\n", + "current index is :2 and list value is 300\n" + ] + } + ], + "source": [ + "l1: list[int] = [100,200,300]\n", + "\n", + "index : int = 0 #\n", + "\n", + "while index < len(l1):\n", + " print(f\"current index is :{index} and list value is {l1[index]}\")\n", + " index += 1\n", + "\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "write quite or exit to stop this program\n", + "write quite or exit to stop this program\n", + "write quite or exit to stop this program\n", + "write quite or exit to stop this program\n", + "write quite or exit to stop this program\n" + ] + }, + { + "data": { + "text/plain": [ + "[{'name': 'a', 'education': 'a'},\n", + " {'name': 'b', 'education': 'b'},\n", + " {'name': 'c', 'education': 'c'},\n", + " {'name': 'd', 'education': 'd'}]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data : list[dict[str,str]] = []\n", + "\n", + "flag : bool = True\n", + "\n", + "while flag:\n", + " print(\"write quite or exit to stop this program\")\n", + " name : str = input (\"Your good name ? \\t:\")\n", + " eduction: str = input(\"Your last education? \\t\")\n", + "\n", + " if name in ['exit','quite','close','stop'] or eduction in ['exit','quite','close','stop']:\n", + " flag=False\n", + " break\n", + " data.append({\"name\":name,\n", + " \"education\": eduction})\n", + "\n", + "display(data) " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# controls \n", + "* break\n", + "* continue\n", + " * skip\n", + "* pass" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "2\n", + "3\n", + "4\n", + "5\n" + ] + } + ], + "source": [ + "for i in range(1,11):\n", + " print(i)\n", + " if i == 5:\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2 X 1 = 2\n" + ] + } + ], + "source": [ + "for i in range(1,11):\n", + " print(f\"2 X {i} = {i*2}\")\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2 X 1 = 2\n", + "2 X 2 = 4\n", + "2 X 3 = 6\n", + "2 X 4 = 8\n", + "2 X 5 = 10\n", + "2 X 6 = 12\n", + "2 X 7 = 14\n", + "2 X 8 = 16\n", + "2 X 9 = 18\n", + "2 X 10 = 20\n" + ] + } + ], + "source": [ + "for i in range(1,11):\n", + " print(f\"2 X {i} = {i*2}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "2\n", + "3\n", + "4\n", + "6\n", + "7\n", + "8\n", + "9\n", + "10\n" + ] + } + ], + "source": [ + "for i in range(1, 11): # Creating a range from 1 to 10\n", + " if i == 5:\n", + " continue # Skipping the iteration when i is 5\n", + " print(i)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* pass" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "ename": "SyntaxError", + "evalue": "incomplete input (595619927.py, line 2)", + "output_type": "error", + "traceback": [ + "\u001b[0;36m Cell \u001b[0;32mIn[38], line 2\u001b[0;36m\u001b[0m\n\u001b[0;31m \u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m incomplete input\n" + ] + } + ], + "source": [ + "for i in range(1,1000):\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "for i in range(1,1000):\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "while True:\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "def abc(a :int , b:int ) -> int :\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pakistan\n", + "Second\n" + ] + } + ], + "source": [ + "if True:\n", + " pass\n", + "\n", + "print(\"pakistan\")\n", + "print(\"Second\")" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "qasim\n" + ] + } + ], + "source": [ + "if True:\n", + " name : str = input(\"Your name?\")\n", + " print(name)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "if False:\n", + " name : str = input(\"Your name?\")\n", + " print(name)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "15\n" + ] + } + ], + "source": [ + "print(1 + 7 + 3 + 4)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "15\n" + ] + } + ], + "source": [ + "print(1 + 7 \\\n", + " + 3\\\n", + " + 4)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Hello, qasim!\n" + ] + } + ], + "source": [ + "prompt = \"\"\"If you share your name, we can personalize the messages you see.\\\n", + "What is your first name? \"\"\"\n", + "\n", + "\n", + "name = input(prompt)\n", + "print(f\"\\nHello, {name}!\")" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "'>=' not supported between instances of 'str' and 'int'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[51], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m age:\u001b[39mstr\u001b[39m \u001b[39m=\u001b[39m \u001b[39minput\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39mHow old are you? \u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m----> 2\u001b[0m age \u001b[39m>\u001b[39;49m\u001b[39m=\u001b[39;49m \u001b[39m18\u001b[39;49m\n", + "\u001b[0;31mTypeError\u001b[0m: '>=' not supported between instances of 'str' and 'int'" + ] + } + ], + "source": [ + "age:str = input(\"How old are you? \")\n", + "age >= 18" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "age:int = int(input(\"How old are you? \"))\n", + "age >= 18" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[6, 18]" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data : list[int] = [1,3,5,6,3,15,18]\n", + "\n", + "# extract even numbers from this list\n", + "\n", + "[i for i in data if i%2==0]" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2\n", + "4\n", + "6\n", + "8\n", + "10\n" + ] + } + ], + "source": [ + "current_number = 0\n", + "while current_number < 10:\n", + " current_number += 1\n", + " if current_number % 2 != 0:\n", + " continue\n", + " print(current_number)" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[1, 3, 5, 3, 15]" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data : list[int] = [1,3,5,6,3,15,18]\n", + "\n", + "# extract even numbers from this list\n", + "\n", + "[i for i in data if i%2!=0]" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "3\n", + "5\n", + "7\n", + "9\n" + ] + } + ], + "source": [ + "current_number = 0\n", + "while current_number < 10:\n", + " current_number += 1\n", + " if current_number % 2 == 0:\n", + " continue\n", + " print(current_number)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "b\n", + "c\n", + "quit\n" + ] + } + ], + "source": [ + "prompt = \"\\nTell me something, and I will repeat it back to you:\"\n", + "prompt += \"\\nEnter 'quit' to end the program. \"\n", + "message = \"\"\n", + "while message != 'quit':\n", + " message = input(prompt)\n", + " print(message)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "q\n", + "b\n", + "c\n" + ] + } + ], + "source": [ + "prompt:str = \"\\nTell me something, and I will repeat it back to you:\"\n", + "prompt += \"\\nEnter 'quit' to end the program. \"\n", + "\n", + "\n", + "active = True \n", + "\n", + "while active:\n", + " message = input(prompt)\n", + " if message == 'quit':\n", + " active = False\n", + " else:\n", + " print(message)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Verifying user: Candace\n", + "Verifying user: Brian\n", + "Verifying user: Alice\n", + "\n", + "The following users have been confirmed:\n", + "Candace\n", + "Brian\n", + "Alice\n" + ] + } + ], + "source": [ + "# Start with users that need to be verified,\n", + "# and an empty list to hold confirmed users.\n", + "unconfirmed_users : list[str] = ['alice', 'brian', 'candace']\n", + "confirmed_users : list[str] = []\n", + " # Verify each user until there are no more unconfirmed users.\n", + "# Move each verified user into the list of confirmed users. 2 \n", + "while unconfirmed_users:\n", + " current_user = unconfirmed_users.pop()\n", + " print(f\"Verifying user: {current_user.title()}\")\n", + " confirmed_users.append(current_user)\n", + "# Display all confirmed users.\n", + "print(\"\\nThe following users have been confirmed:\")\n", + "for confirmed_user in confirmed_users:\n", + " print(confirmed_user.title())" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "a = 10\n", + "\n", + "while a:\n", + " print(\"abc\")\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3\n", + "2\n", + "1\n" + ] + } + ], + "source": [ + "data : list[int] = [1,2,3]\n", + "\n", + "while data:\n", + " n : int = data.pop()\n", + " print(n)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['dog', 'cat', 'dog', 'goldfish', 'cat', 'rabbit', 'cat']\n", + "['dog', 'dog', 'goldfish', 'rabbit']\n" + ] + } + ], + "source": [ + "pets = ['dog', 'cat', 'dog', 'goldfish', 'cat', 'rabbit', 'cat'] \n", + "print(pets)\n", + "\n", + "while 'cat' in pets:\n", + " pets.remove('cat')\n", + "print(pets)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "python12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.0" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/7-functions.ipynb b/appkits/qpyapp/src/qpynotes/basic/basic/7-functions.ipynb new file mode 100644 index 0000000..254ddb4 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/7-functions.ipynb @@ -0,0 +1,1112 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Function\n", + "* pre-define function\n", + " * provided by in language\n", + "* user-define function\n", + " * custom function\n", + "## Similar properties on both typd\n", + "* Return and None-return function\n", + " * Return\n", + " * we can assign this function output in any variable\n", + " * None-Return\n", + " * only run we can't assign value to variable\n", + "\n", + "\n", + "\n", + "\n", + "## components\n", + "* function declaration\n", + "* function body\n", + "* function calling\n", + "\n", + "### Syntax function\n", + "```\n", + "def function_name(param1:type, param2:type,...)->Return_type:\n", + " function_body\n", + "\n", + "function_name(arg1,arg2)\n", + "```\n", + "\n", + "### Syntaxt lambda function\n", + "* one line function\n", + "* without name\n", + "* only use in this line\n", + "```\n", + "lambda param1,param2 : function_body\n", + " \n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Pre-define function\n", + "* print\n", + "* len\n", + "* id\n", + "* dir\n", + "* chr\n", + "* ord\n", + "* exec\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Return and None-return function\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pakistan\n" + ] + }, + { + "data": { + "text/plain": [ + "None" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# variable.method_name()\n", + "a : str = print(\"Function\") # a = \"Function\" | None\n", + "\n", + "display(a) # None" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "8" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "a : int = len(\"Function\") # a = 8 Return\n", + "\n", + "display(a)# " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(\"aa\")\n", + "print(len('aaa'))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## components\n", + "* function declaration\n", + " * function name\n", + " * Parameters\n", + " * param : type\n", + " * return output type\n", + "* function body\n", + " * any businuess logic write here\n", + "* function calling\n", + " * function(arg1,arg2)\n", + "\n", + "### Syntax function\n", + "```\n", + "def function_name(param1:type, param2:type,...)->Return_type: # declaration\n", + " function_body # body\n", + "\n", + "function_name(arg1,arg2) # calling\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create simple function without any argument (defualt function)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PIAIC Generative Artificial Intelligence\n", + "Python Crash course\n" + ] + } + ], + "source": [ + "def piaic()->None: # declaration/function signature\n", + " # function body start\n", + " print(\"PIAIC Generative Artificial Intelligence\") # statment1\n", + " print(\"Python Crash course\") # statment2\n", + " # function body end\n", + "\n", + "\n", + "piaic() # calling" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PIAIC Generative Artificial Intelligence\n", + "Python Crash course\n", + "PIAIC Generative Artificial Intelligence\n", + "Python Crash course\n" + ] + } + ], + "source": [ + "piaic()\n", + "piaic()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Required parameters functions" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "27" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# param1 param2\n", + "def add_two_numbers(num1 : int , num2 : int)->int:\n", + " return num1 + num2\n", + "\n", + "add_two_numbers(7,20)# agr1, arg2" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "num1 value 7 and num 2 value 20\n" + ] + }, + { + "data": { + "text/plain": [ + "27" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# param1 param2\n", + "def add_two_numbers(num1 : int , num2 : int)->int:\n", + " print(f\"num1 value {num1} and num 2 value {num2}\")\n", + " return num1 + num2\n", + "\n", + "add_two_numbers(7,20)# agr1, arg2 postional" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "num1 value 20 and num 2 value 7\n" + ] + }, + { + "data": { + "text/plain": [ + "27" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# param1 param2\n", + "def add_two_numbers(num1 : int , num2 : int)->int:\n", + " print(f\"num1 value {num1} and num 2 value {num2}\")\n", + " return num1 + num2\n", + "\n", + "add_two_numbers(num2=7,num1=20)# agr1, arg2 key word arguments" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "add_two_numbers() missing 1 required positional argument: 'num2'", + "output_type": "error", + "traceback": [ + "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", + "\u001B[0;31mTypeError\u001B[0m Traceback (most recent call last)", + "Cell \u001B[0;32mIn[8], line 1\u001B[0m\n\u001B[0;32m----> 1\u001B[0m add_two_numbers(\u001B[39m7\u001B[39;49m)\n", + "\u001B[0;31mTypeError\u001B[0m: add_two_numbers() missing 1 required positional argument: 'num2'" + ] + } + ], + "source": [ + "add_two_numbers(7)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## fucntion with optional parameters\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "7 2\n" + ] + }, + { + "data": { + "text/plain": [ + "9" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def add_two_numbers(num1: int, num2:int = 0) -> int:\n", + " print(num1, num2)\n", + " return num1 + num2\n", + "\n", + "add_two_numbers(7,2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Syntaxt lambda function\n", + "* one line function\n", + "* without name\n", + "* only use in this line\n", + "```\n", + "lambda param1,param2 : function_body\n", + " \n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "15" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a = lambda num1, num2 : num1 + num2\n", + "\n", + "a(7,8)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "https://stackoverflow.com/questions/33833881/is-it-possible-to-type-hint-a-lambda-function" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "30\n" + ] + } + ], + "source": [ + "from typing import Callable\n", + "\n", + "add: Callable[[int, int], int] = lambda x, y: x + y\n", + "result = add(10, 20) # result will be 30\n", + "print(result)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[1, 4, 9, 16, 25, 36, 49, 64, 81, 100]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data : list[int] = [1,2,3,4,5,6,7,8,9,10]\n", + "\n", + "data = list(map(lambda x:x**2 , data))\n", + "\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[2, 4, 6, 8, 10]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data : list[int] = [1,2,3,4,5,6,7,8,9,10]\n", + "\n", + "data = list(filter(lambda x:x%2==0 ,data))\n", + "\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[2,\n", + " 4,\n", + " 6,\n", + " 8,\n", + " 10,\n", + " 12,\n", + " 14,\n", + " 16,\n", + " 18,\n", + " 20,\n", + " 22,\n", + " 24,\n", + " 26,\n", + " 28,\n", + " 30,\n", + " 32,\n", + " 34,\n", + " 36,\n", + " 38,\n", + " 40,\n", + " 42,\n", + " 44,\n", + " 46,\n", + " 48,\n", + " 50,\n", + " 52,\n", + " 54,\n", + " 56,\n", + " 58,\n", + " 60,\n", + " 62,\n", + " 64,\n", + " 66,\n", + " 68,\n", + " 70,\n", + " 72,\n", + " 74,\n", + " 76,\n", + " 78,\n", + " 80,\n", + " 82,\n", + " 84,\n", + " 86,\n", + " 88,\n", + " 90,\n", + " 92,\n", + " 94,\n", + " 96,\n", + " 98,\n", + " 100]" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "\n", + "data:list[int] = list(filter(lambda x:x%2==0 ,range(1,101)))\n", + "\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2\n", + "4\n" + ] + } + ], + "source": [ + "data:list[int] = filter(lambda x:x%2==0 ,range(1,101))\n", + "\n", + "print(next(data))\n", + "print(next(data))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Generator Function\n", + "* iterate on element one by one\n", + "* stop after each iteration\n", + "* remember old iteration value (last iterate value)\n", + "* next iterate \n", + " * go farward from last iterate value" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n" + ] + } + ], + "source": [ + "## Generator Function\n", + "def my_range(start:int , end:int , step: int=1):\n", + " for i in range(start,end+1,step):\n", + " yield i # Generator fucntion\n", + "\n", + "\n", + "a = my_range(1,10)\n", + "print(a)\n", + "print(list(a))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "1\n", + "2\n", + "3\n", + "Pakistan\n", + "4\n" + ] + } + ], + "source": [ + "a = my_range(1,10)\n", + "print(a)\n", + "print(next(a))\n", + "print(next(a))\n", + "print(next(a))\n", + "print(\"Pakistan\")\n", + "print(next(a))" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "from collections.abc import Iterator\n", + "\n", + "MyDictT = dict[str, object] # for example\n", + "\n", + "def yield_func() -> Iterator[MyDictT]:\n", + " a: MyDictT = {}\n", + " b: MyDictT = {}\n", + " ...\n", + " yield a\n", + " yield b" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "https://stackoverflow.com/questions/74774919/proper-typing-for-a-interesting-yield-function" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "2\n" + ] + } + ], + "source": [ + "from collections.abc import Iterator\n", + "\n", + "def my_range(start:int , end:int , step: int=1)->Iterator[int]:\n", + " for i in range(start,end+1,step):\n", + " yield i # Generator fucntion\n", + "\n", + "\n", + "iterator_variable = my_range(1,10)\n", + "\n", + "print(next(iterator_variable))\n", + "print(next(iterator_variable))" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "2\n", + "\n" + ] + } + ], + "source": [ + "from collections.abc import Iterator\n", + "\n", + "def my_range(start:int , end:int , step: int=1)->Iterator[int]:\n", + " for i in range(start,end+1,step):\n", + " yield i # Generator fucntion\n", + "\n", + "\n", + "iterator_variable : Iterator[int] = my_range(1,10)\n", + "\n", + "print(next(iterator_variable))\n", + "print(next(iterator_variable))\n", + "\n", + "print(type(iterator_variable))" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3\n", + "4\n", + "5\n", + "6\n", + "7\n", + "8\n", + "9\n", + "10\n" + ] + } + ], + "source": [ + "for i in iterator_variable:\n", + " print(i)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['__class__',\n", + " '__del__',\n", + " '__delattr__',\n", + " '__dir__',\n", + " '__doc__',\n", + " '__eq__',\n", + " '__format__',\n", + " '__ge__',\n", + " '__getattribute__',\n", + " '__getstate__',\n", + " '__gt__',\n", + " '__hash__',\n", + " '__init__',\n", + " '__init_subclass__',\n", + " '__iter__',\n", + " '__le__',\n", + " '__lt__',\n", + " '__name__',\n", + " '__ne__',\n", + " '__new__',\n", + " '__next__',\n", + " '__qualname__',\n", + " '__reduce__',\n", + " '__reduce_ex__',\n", + " '__repr__',\n", + " '__setattr__',\n", + " '__sizeof__',\n", + " '__str__',\n", + " '__subclasshook__',\n", + " 'close',\n", + " 'gi_code',\n", + " 'gi_frame',\n", + " 'gi_running',\n", + " 'gi_suspended',\n", + " 'gi_yieldfrom',\n", + " 'send',\n", + " 'throw']" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dir(a)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# pass unlimited arguments" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1, 2, 3, 3, 5, 6) \n" + ] + }, + { + "data": { + "text/plain": [ + "20" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def abc(*nums):\n", + " print(nums, type(nums))\n", + " total = 0\n", + " for n in nums:\n", + " total += n\n", + "\n", + " return total\n", + "\n", + "\n", + "abc(1,2,3,3,5,6)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2023-12-02T03:01:59.476033Z", + "start_time": "2023-12-02T03:01:59.469059Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hello Monica\n", + "Hello Luke\n", + "Hello Steve\n", + "Hello John\n" + ] + } + ], + "source": [ + "from typing import Tuple\n", + "\n", + "def greet(*names: Tuple[str, ...]) -> None:\n", + " \"\"\"\n", + " This function greets all persons in the names tuple.\n", + " \"\"\"\n", + " for name in names:\n", + " print(\"Hello\", name)\n", + "\n", + "greet(\"Monica\", \"Luke\", \"Steve\", \"John\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2023-12-02T03:02:16.142468Z", + "start_time": "2023-12-02T03:02:16.121164Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'a': 'A', 'b': 'B'}\n" + ] + } + ], + "source": [ + "from typing import Dict\n", + "\n", + "def greet(**xyz: Dict[str,str]) -> None:\n", + " print(xyz)\n", + "\n", + "greet(a=\"A\", b='B')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2023-12-02T03:02:26.908549Z", + "start_time": "2023-12-02T03:02:26.883935Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'a': 7, 'b': 20, 'c': 30, 'x': 1, 'y': 2, 'name': 'Name'} \n" + ] + } + ], + "source": [ + "def xyz(**kargs):\n", + " print(kargs, type(kargs))\n", + "\n", + "\n", + "xyz(a=7, b=20, c=30, x=1,y=2 , name=\"Name\")" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 2 (7, 9, 9, 9) {'c': 20, 'd': 30, 'x': 100}\n" + ] + } + ], + "source": [ + "def my_function(a, b, *abc, **xyz):\n", + " print(a,b, abc, xyz)\n", + "\n", + "my_function(1,2, 7,9,9,9, c=20, d= 30, x=100)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# typing hint error\n", + "def my_function(a:int, b:int, *abc:Tuple[int, ...], **xyz:Dict[str,int]):\n", + " print(a,b, abc, xyz)\n", + "\n", + "my_function(1,2, 7,9,9,9, c=20, d= 30, x=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 2 (7, 9, 9, 9) {'c': 20, 'd': 30, 'x': 100}\n" + ] + } + ], + "source": [ + "def my_function(a: int, b: int, *abc: int, **xyz: int) -> None:\n", + " print(a, b, abc, xyz)\n", + "\n", + "my_function(1, 2, 7, 9, 9, 9, c=20, d=30, x=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Something is happening before the function is called.\n", + "Hello!\n", + "Something is happening after the function is called.\n" + ] + } + ], + "source": [ + "from typing import Callable\n", + "\n", + "def my_decorator(func: Callable[[], None])-> Callable[[], None]:\n", + " def wrapper():\n", + " print(\"Something is happening before the function is called.\")\n", + " func()\n", + " print(\"Something is happening after the function is called.\")\n", + " return wrapper\n", + "\n", + "@my_decorator\n", + "def say_hello():\n", + " print(\"Hello!\")\n", + "\n", + "say_hello()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Something is happening before the function is called.\n", + "100\n", + "Something is happening after the function is called.\n" + ] + } + ], + "source": [ + "from typing import Callable\n", + "\n", + "def my_decorator(func: Callable[[int], None]) -> Callable[[int], None]:\n", + " def wrapper(num1: int) -> None:\n", + " print(\"Something is happening before the function is called.\")\n", + " func(num1)\n", + " print(\"Something is happening after the function is called.\")\n", + " return wrapper\n", + "\n", + "@my_decorator\n", + "def say_hello(num1: int) -> None:\n", + " print(num1)\n", + "\n", + "say_hello(100)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The factorial of 5 is 120\n" + ] + } + ], + "source": [ + "def factorial(x: int) -> int:\n", + " \"\"\"This is a recursive function\n", + " to find the factorial of an integer\"\"\"\n", + " if x == 1:\n", + " return 1\n", + " else:\n", + " return (x * factorial(x-1))\n", + " # 5*4*3*2*1\n", + "\n", + "num = 5\n", + "print(\"The factorial of\", num, \"is\", factorial(num))" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "120" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "5*4*3*2*1" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "python12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.0" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/dict.ipynb b/appkits/qpyapp/src/qpynotes/basic/basic/dict.ipynb new file mode 100644 index 0000000..3079e88 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/dict.ipynb @@ -0,0 +1,44 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Dict\n", + "\n", + "- Get/Pop\n", + "- Update/Delete" + ], + "id": "51beeb40de92f1fc" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": "demo_dict", + "id": "e4dd0b788391c9e7" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/features/email-sender.ipynb b/appkits/qpyapp/src/qpynotes/basic/basic/features/email-sender.ipynb new file mode 100644 index 0000000..75e91f3 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/features/email-sender.ipynb @@ -0,0 +1,76 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": "## Send A Email", + "id": "55c2238f4717c7e3" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "#!/user/bin/env python\n", + "import sys\n", + "import os\n", + "import smtplib\n", + "from email.mime.text import MIMEText\n", + "\n", + "arguments = sys.argv[1:]\n", + "if not arguments:\n", + " print(\"send a email ........\")\n", + " sys.exit(1)\n", + "\n", + "filename = arguments[0]\n", + "templatename = arguments[1]\n", + "\n", + "path = os.curdir\n", + "filepath = os.path.join(path, filename) # emails.txt\n", + "templatepath = os.path.join(path, templatename) # email_tmpl.txt\n", + "\n", + "\n", + "with smtplib.SMTP(host=\"localhost\", port=8025) as server:\n", + "\n", + " for line in open(filepath):\n", + " name, email = line.split(\",\")\n", + " text = open(templatepath).read() % {\n", + " \"nome\": name,\n", + " }\n", + "\n", + " from_ = \"susu@abc.com\"\n", + " to = \", \".join([email])\n", + "\n", + " message = MIMEText(text)\n", + " message[\"Subject\"] = \"Email For Testing\"\n", + " message[\"From\"] = from_\n", + " message[\"To\"] = to\n", + "\n", + " server.sendmail(from_, to, message.as_string())\n" + ], + "id": "2dd2ada8612055b3" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/features/emial.tpl b/appkits/qpyapp/src/qpynotes/basic/basic/features/emial.tpl new file mode 100644 index 0000000..130db91 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/features/emial.tpl @@ -0,0 +1,4 @@ +Hi {name}: + +Thank you ... + diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/logging_printing.ipynb b/appkits/qpyapp/src/qpynotes/basic/basic/logging_printing.ipynb new file mode 100644 index 0000000..d6357a5 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/logging_printing.ipynb @@ -0,0 +1,127 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "# Basic\n", + "\n", + "- Print: print message\n", + "- Logging: logging with different log level" + ], + "id": "abef9eb6c5318086" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": "print(\"Hello World\")", + "id": "4397a08283887c92" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-28T03:45:33.148736Z", + "start_time": "2024-06-28T03:45:33.127333Z" + } + }, + "cell_type": "code", + "source": [ + "import logging\n", + "\n", + "logging.info(\"this is test\")\n", + "logging.warning(\"this is test\")\n", + "logging.error(\"this is test\")\n", + "logging.debug(\"this is test\")" + ], + "id": "3ed92808de559671", + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:this is test\n", + "ERROR:root:this is test\n" + ] + } + ], + "execution_count": 1 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## More Logging examples\n", + "\n", + "- configuration\n", + "- format\n", + "- handler" + ], + "id": "a54dbeb46e484452" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-28T03:49:31.086875Z", + "start_time": "2024-06-28T03:49:31.076302Z" + } + }, + "cell_type": "code", + "source": [ + "import logging\n", + "\n", + "log = logging.getLogger(\"test_level\")\n", + "handler = logging.StreamHandler()\n", + "handler.setLevel(\"DEBUG\")\n", + "fmt = logging.Formatter( \"%(asctime)s %(name)s %(levelname)s \" \"l:%(lineno)d f:%(filename)s: %(message)s\")\n", + "\n", + "handler.setFormatter(fmt)\n", + "log.addHandler(handler)\n", + "\n", + "log.info('this is test')\n", + "log.warning('this is test')\n", + "log.critical('this is test')\n", + "log.error(\"this is test\")\n", + "log.debug('this is test')" + ], + "id": "ca4d034a8028272b", + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-06-28 11:49:31,078 test_level WARNING l:12 f:1647460449.py: this is test\n", + "WARNING:test_level:this is test\n", + "2024-06-28 11:49:31,081 test_level CRITICAL l:13 f:1647460449.py: this is test\n", + "CRITICAL:test_level:this is test\n", + "2024-06-28 11:49:31,083 test_level ERROR l:14 f:1647460449.py: this is test\n", + "ERROR:test_level:this is test\n" + ] + } + ], + "execution_count": 4 + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/my_module.py b/appkits/qpyapp/src/qpynotes/basic/basic/my_module.py new file mode 100644 index 0000000..1b65d2b --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/my_module.py @@ -0,0 +1,10 @@ +# Clase en vídeo: https://youtu.be/Kp4Mvapo5kc?t=34583 + +### Módulo para pruebas ### + +def sumValue(numberOne, numberTwo, numberThree): + print(numberOne + numberTwo + numberThree) + + +def printValue(value): + print(value) diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/nice-painting.ipynb b/appkits/qpyapp/src/qpynotes/basic/basic/nice-painting.ipynb new file mode 100644 index 0000000..834f2a7 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/nice-painting.ipynb @@ -0,0 +1,220 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "# Simple Feature\n", + "\n", + "打印乘法结果:\n", + "\n", + "```\n", + " 10 x 1 = 10 \n", + " 10 x 2 = 20 \n", + " 10 x 3 = 30 \n", + " 10 x 4 = 40 \n", + " 10 x 5 = 50 \n", + " 10 x 6 = 60 \n", + " 10 x 7 = 70 \n", + " 10 x 8 = 80 \n", + " 10 x 9 = 90 \n", + " 10 x 10 = 100 \n", + "```\n" + ], + "id": "be2f2d9fd5ef7291" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-28T03:53:32.338419Z", + "start_time": "2024-06-28T03:53:32.331119Z" + } + }, + "cell_type": "code", + "source": [ + "\n", + "numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n", + "\n", + "for n1 in numbers:\n", + " print(\"{:-^18}\".format(f\"Tables {n1}\"))\n", + " print()\n", + " for n2 in numbers:\n", + " result = n1 * n2\n", + " print(\"{:^18}\".format(f\"{n1} x {n2} = {result}\"))\n", + " print()\n", + " print(\"#\" * 18)" + ], + "id": "dbfa1f8dadd7e0b3", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-----Tables 1-----\n", + "\n", + " 1 x 1 = 1 \n", + " 1 x 2 = 2 \n", + " 1 x 3 = 3 \n", + " 1 x 4 = 4 \n", + " 1 x 5 = 5 \n", + " 1 x 6 = 6 \n", + " 1 x 7 = 7 \n", + " 1 x 8 = 8 \n", + " 1 x 9 = 9 \n", + " 1 x 10 = 10 \n", + "\n", + "##################\n", + "-----Tables 2-----\n", + "\n", + " 2 x 1 = 2 \n", + " 2 x 2 = 4 \n", + " 2 x 3 = 6 \n", + " 2 x 4 = 8 \n", + " 2 x 5 = 10 \n", + " 2 x 6 = 12 \n", + " 2 x 7 = 14 \n", + " 2 x 8 = 16 \n", + " 2 x 9 = 18 \n", + " 2 x 10 = 20 \n", + "\n", + "##################\n", + "-----Tables 3-----\n", + "\n", + " 3 x 1 = 3 \n", + " 3 x 2 = 6 \n", + " 3 x 3 = 9 \n", + " 3 x 4 = 12 \n", + " 3 x 5 = 15 \n", + " 3 x 6 = 18 \n", + " 3 x 7 = 21 \n", + " 3 x 8 = 24 \n", + " 3 x 9 = 27 \n", + " 3 x 10 = 30 \n", + "\n", + "##################\n", + "-----Tables 4-----\n", + "\n", + " 4 x 1 = 4 \n", + " 4 x 2 = 8 \n", + " 4 x 3 = 12 \n", + " 4 x 4 = 16 \n", + " 4 x 5 = 20 \n", + " 4 x 6 = 24 \n", + " 4 x 7 = 28 \n", + " 4 x 8 = 32 \n", + " 4 x 9 = 36 \n", + " 4 x 10 = 40 \n", + "\n", + "##################\n", + "-----Tables 5-----\n", + "\n", + " 5 x 1 = 5 \n", + " 5 x 2 = 10 \n", + " 5 x 3 = 15 \n", + " 5 x 4 = 20 \n", + " 5 x 5 = 25 \n", + " 5 x 6 = 30 \n", + " 5 x 7 = 35 \n", + " 5 x 8 = 40 \n", + " 5 x 9 = 45 \n", + " 5 x 10 = 50 \n", + "\n", + "##################\n", + "-----Tables 6-----\n", + "\n", + " 6 x 1 = 6 \n", + " 6 x 2 = 12 \n", + " 6 x 3 = 18 \n", + " 6 x 4 = 24 \n", + " 6 x 5 = 30 \n", + " 6 x 6 = 36 \n", + " 6 x 7 = 42 \n", + " 6 x 8 = 48 \n", + " 6 x 9 = 54 \n", + " 6 x 10 = 60 \n", + "\n", + "##################\n", + "-----Tables 7-----\n", + "\n", + " 7 x 1 = 7 \n", + " 7 x 2 = 14 \n", + " 7 x 3 = 21 \n", + " 7 x 4 = 28 \n", + " 7 x 5 = 35 \n", + " 7 x 6 = 42 \n", + " 7 x 7 = 49 \n", + " 7 x 8 = 56 \n", + " 7 x 9 = 63 \n", + " 7 x 10 = 70 \n", + "\n", + "##################\n", + "-----Tables 8-----\n", + "\n", + " 8 x 1 = 8 \n", + " 8 x 2 = 16 \n", + " 8 x 3 = 24 \n", + " 8 x 4 = 32 \n", + " 8 x 5 = 40 \n", + " 8 x 6 = 48 \n", + " 8 x 7 = 56 \n", + " 8 x 8 = 64 \n", + " 8 x 9 = 72 \n", + " 8 x 10 = 80 \n", + "\n", + "##################\n", + "-----Tables 9-----\n", + "\n", + " 9 x 1 = 9 \n", + " 9 x 2 = 18 \n", + " 9 x 3 = 27 \n", + " 9 x 4 = 36 \n", + " 9 x 5 = 45 \n", + " 9 x 6 = 54 \n", + " 9 x 7 = 63 \n", + " 9 x 8 = 72 \n", + " 9 x 9 = 81 \n", + " 9 x 10 = 90 \n", + "\n", + "##################\n", + "----Tables 10-----\n", + "\n", + " 10 x 1 = 10 \n", + " 10 x 2 = 20 \n", + " 10 x 3 = 30 \n", + " 10 x 4 = 40 \n", + " 10 x 5 = 50 \n", + " 10 x 6 = 60 \n", + " 10 x 7 = 70 \n", + " 10 x 8 = 80 \n", + " 10 x 9 = 90 \n", + " 10 x 10 = 100 \n", + "\n", + "##################\n" + ] + } + ], + "execution_count": 3 + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/oop.ipynb b/appkits/qpyapp/src/qpynotes/basic/basic/oop.ipynb new file mode 100644 index 0000000..0fd83e8 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/oop.ipynb @@ -0,0 +1,119 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## OOP\n", + "\n", + "- structure code " + ], + "id": "a805d1be9c77d22f" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "# Clase en vídeo: https://youtu.be/Kp4Mvapo5kc?t=29327\n", + "\n", + "### Classes ###\n", + "\n", + "# Definitions\n", + "\n", + "class MyEmptyPerson:\n", + " pass\n", + "\n", + "\n", + "print(MyEmptyPerson)\n", + "print(MyEmptyPerson())\n", + "\n", + "\n", + "class Person:\n", + " def __init__(self, name, surname, alias=\"alias\"):\n", + " self.full_name = f\"{name} {surname} ({alias})\"\n", + " self.__name = name\n", + "\n", + " def get_name(self):\n", + " return self.__name\n", + "\n", + " def walk(self):\n", + " print(f\"{self.full_name} walking \")\n", + "\n", + "\n", + "my_person = Person(\"Name\", \"Surname\")\n", + "print(my_person.full_name)\n", + "print(my_person.get_name())\n", + "my_person.walk()\n", + "\n", + "my_other_person = Person(\"Name\", \"Surname\", \"Alias\")\n", + "print(my_other_person.full_name)\n", + "my_other_person.walk()\n", + "my_other_person.full_name = \"Full full-name Name\"\n", + "print(my_other_person.full_name)\n", + "\n", + "my_other_person.full_name = 666\n", + "print(my_other_person.full_name)\n" + ], + "id": "cb71dce0a5453f82" + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "## Modules", + "id": "7de413bb6cc55ef7" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "\n", + "### Modules ###\n", + "\n", + "from math import pi as PI_VALUE\n", + "import math\n", + "from my_module import sumValue, printValue\n", + "import my_module\n", + "\n", + "my_module.sumValue(5, 3, 1)\n", + "my_module.printValue(\"Hola Python!\")\n", + "\n", + "\n", + "sumValue(5, 3, 1)\n", + "printValue(\"Hola python\")\n", + "\n", + "\n", + "print(math.pi)\n", + "print(math.pow(2, 8))\n", + "\n", + "\n", + "print(PI_VALUE)\n" + ], + "id": "f1c33760bbe7b9c" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/operator.ipynb b/appkits/qpyapp/src/qpynotes/basic/basic/operator.ipynb new file mode 100644 index 0000000..e129495 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/operator.ipynb @@ -0,0 +1,80 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": "## Operator", + "id": "f78d118acc6cace3" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "print(3 + 4)\n", + "print(3 - 4)\n", + "print(3 * 4)\n", + "print(3 / 4)\n", + "print(10 % 3)\n", + "print(10 // 3)\n", + "print(2 ** 3)\n", + "print(2 ** 3 + 3 - 7 / 1 // 4)\n", + "\n", + "print(\"Hello \" + \"Python \" )\n", + "print(\"Hello \" + str(5))\n", + "\n", + "print(\"Hello \" * 5)\n", + "print(\"Hello \" * (2 ** 3))\n", + "\n", + "my_float = 2.5 * 2\n", + "print(\"Hello \" * int(my_float))\n", + "\n", + "print(3 > 4)\n", + "print(3 < 4)\n", + "print(3 >= 4)\n", + "print(4 <= 4)\n", + "print(3 == 4)\n", + "print(3 != 4)\n", + "\n", + "print(\"Hello\" > \"Python\")\n", + "print(\"Hello\" < \"Python\")\n", + "print(\"aaaa\" >= \"abaa\")\n", + "print(len(\"aaaa\") >= len(\"abaa\"))\n", + "print(\"Hello\" <= \"Python\")\n", + "print(\"Hello\" == \"Hello\")\n", + "print(\"Hello\" != \"Python\")\n", + "\n", + "\n", + "print(3 > 4 and \"Hello\" > \"Python\")\n", + "print(3 > 4 or \"Hello\" > \"Python\")\n", + "print(3 < 4 and \"Hello\" < \"Python\")\n", + "print(3 < 4 or \"Hello\" > \"Python\")\n", + "print(3 < 4 or (\"Hello\" > \"Python\" and 4 == 4))\n", + "print(not (3 > 4))\n" + ], + "id": "1a0072d842df48e" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/os_file_system.ipynb b/appkits/qpyapp/src/qpynotes/basic/basic/os_file_system.ipynb new file mode 100644 index 0000000..ecaff78 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/os_file_system.ipynb @@ -0,0 +1,101 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## OS 文件操作\n", + "\n", + "- 获取所有文件\n", + "- 判断文件是否是文件夹还是文件" + ], + "id": "3b5ef382034253e8" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2025-01-03T08:50:06.209729Z", + "start_time": "2025-01-03T08:50:06.200307Z" + } + }, + "cell_type": "code", + "source": [ + "import os\n", + "\n", + "files = os.listdir(\".\")\n", + "for file in files:\n", + " if os.path.isdir(file):\n", + " print(f\"directory: {file}\")\n", + " else:\n", + " print(f\"file: {file}\")\n", + "\n", + "for dirpath, dirnames, filenames in os.walk(\".\"):\n", + " # same level\n", + " print(f\"{dirpath} {dirnames} {filenames}\")" + ], + "id": "fcdf5d3c82b6c260", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "file: my_module.py\n", + "file: variable.ipynb\n", + "file: 7-functions.ipynb\n", + "file: os_file_system.ipynb\n", + "file: 07-dict-all.ipynb\n", + "file: oop.ipynb\n", + "directory: features\n", + "file: nice-painting.ipynb\n", + "file: operator.ipynb\n", + "file: dict.ipynb\n", + "file: logging_printing.ipynb\n", + "file: 04-list.ipynb\n", + "file: 4-oeprations.ipynb\n", + "file: 3-string-more.ipynb\n", + "file: 13_modules.py\n", + "file: 12_exceptions.py\n", + ". ['features'] ['my_module.py', 'variable.ipynb', '7-functions.ipynb', 'os_file_system.ipynb', '07-dict-all.ipynb', 'oop.ipynb', 'nice-painting.ipynb', 'operator.ipynb', 'dict.ipynb', 'logging_printing.ipynb', '04-list.ipynb', '4-oeprations.ipynb', '3-string-more.ipynb', '13_modules.py', '12_exceptions.py']\n", + "./features [] ['email-sender.ipynb', 'emial.tpl']\n" + ] + } + ], + "execution_count": 6 + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": "", + "id": "482ded764079f829" + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "", + "id": "58a8d8cc61d8e509" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/basic/variable.ipynb b/appkits/qpyapp/src/qpynotes/basic/basic/variable.ipynb new file mode 100644 index 0000000..90af2aa --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/basic/variable.ipynb @@ -0,0 +1,73 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": "## Variable Usage", + "id": "6c544129dd51bfa1" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "### Variables ###\n", + "\n", + "my_string_variable = \"My String variable\"\n", + "print(my_string_variable)\n", + "\n", + "my_int_variable = 5\n", + "print(my_int_variable)\n", + "\n", + "my_int_to_str_variable = str(my_int_variable)\n", + "print(my_int_to_str_variable)\n", + "print(type(my_int_to_str_variable))\n", + "\n", + "my_bool_variable = False\n", + "print(my_bool_variable)\n", + "\n", + "print(my_string_variable, my_int_to_str_variable, my_bool_variable)\n", + "\n", + "print(len(my_string_variable))\n", + "\n", + "name, surname, alias, age = \"name\", \"surname\", 'sn', 35\n", + "\n", + "# Inputs\n", + "name = input('name ')\n", + "age = input('age')\n", + "print(name)\n", + "print(age)\n", + "\n", + "\n", + "address: str = \"My Address\"\n", + "address = True\n", + "address = 5\n", + "address = 1.2\n", + "print(type(address))\n" + ], + "id": "3a2e1065be280b78" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/db/async-lib.ipynb b/appkits/qpyapp/src/qpynotes/basic/db/async-lib.ipynb new file mode 100644 index 0000000..c6ad7bb --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/db/async-lib.ipynb @@ -0,0 +1,1402 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "ce0645cc", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Async postgres libraries research\n", + "\n", + "- Multyprocessing in Python \n", + "- Why do we need to use asyncio?\n", + "- Can we still use pg8000?\n", + "- Libraries" + ] + }, + { + "cell_type": "markdown", + "id": "b36e76ff", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Multyprocessing in Python \n" + ] + }, + { + "cell_type": "markdown", + "id": "ebca4553", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Sync vs Async\n", + "- In Syncrhonous operations, the tasks are executed in sync, one after one. \n", + "- In asynchronous operations, tasks may start and complete independent of each other. One async task may start and continue running while the execution moves on to a new task. \n", + "- Async tasks don’t block (make the execution wait for it’s completion) operations and usually run in the background." + ] + }, + { + "cell_type": "markdown", + "id": "958f68ef", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Concurrency and Parallelism\n", + "- Concurrency implies that two tasks make progress together. \n", + "- Parallelism is in fact a form of concurrency. \n", + "- But parallelism is hardware dependent. \n", + "- For example if there’s only one core in the CPU, two operations can’t really run in parallel. " + ] + }, + { + "cell_type": "markdown", + "id": "bac03afc", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Summary:\n", + "* Sync: Blocking operations.\n", + "* Async: Non blocking operations.\n", + "* Concurrency: Making progress together.\n", + "* Parallelism: Making progress in parallel.\n", + "\n", + "Email, phone call example" + ] + }, + { + "cell_type": "markdown", + "id": "e8364007", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "### Parallelism implies Concurrency. But Concurrency doesn’t always mean Parallelism." + ] + }, + { + "cell_type": "markdown", + "id": "c7a40f13", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Threads & Processes" + ] + }, + { + "cell_type": "markdown", + "id": "13489c98", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Threads\n", + "- Python has had Threads for a very long time. \n", + "- Threads allow us to run our operations concurrently. \n", + "- There is a problem with the Global Interpreter Lock (GIL) for which the **threading could not provide true parallelism.**" + ] + }, + { + "cell_type": "markdown", + "id": "ebd6b05b", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "# Global Interpreter Lock (GIL)\n", + "The Global Interpreter Lock aka GIL was introduced to make CPython’s memory handling easier and to allow better integrations with C (for example the extensions). The GIL is a locking mechanism that the Python interpreter runs only one thread at a time. That is only one thread can execute Python byte code at any given time. This GIL makes sure that multiple threads DO NOT run in parallel.\n", + "\n", + "Quick facts about the GIL:\n", + "\n", + "* One thread can run at a time.\n", + "* The Python Interpreter switches between threads to allow concurrency.\n", + "* The GIL is only applicable to CPython (the defacto implementation). Other implementations like Jython, IronPython don’t have GIL.\n", + "* GIL makes single threaded programs fast.\n", + "* For I/O bound operations, GIL usually doesn’t harm much.\n", + "* GIL makes it easy to integrate non thread safe C libraries, thansk to the GIL, we have many high performance extensions/modules written in C.\n", + "* For CPU bound tasks, the interpreter checks between N ticks and switches threads. So one thread does not block others." + ] + }, + { + "cell_type": "markdown", + "id": "16996240", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Processes\n", + "- To get parallelism, Python introduced the multiprocessing module.\n", + "- Every core can take one process\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "77900f71", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Why don't we use Threads to solve our issue?\n", + "* Processes are costly to spawn. \n", + "* We know that I/O depends on external stuff - slow disks or nasty network lags make I/O often unpredictable. \n", + "* 3 threads example. " + ] + }, + { + "cell_type": "markdown", + "id": "637f9559", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "# 3 threads example.\n", + "Processes are costly to spawn. So for I/O, Threads are chosen largely. We know that I/O depends on external stuff - slow disks or nasty network lags make I/O often unpredictable. Now, let’s assume that we are using threads for I/O bound operations. 3 threads are doing different I/O tasks. The interpreter would need to switch between the concurrent threads and give each of them some time in turns. Let’s call the threads - T1, T2 and T3. The three threads have started their I/O operation. T3 completes it first. T2 and T1 are still waiting for I/O. The Python interpreter switches to T1 but it’s still waiting. Fine, so it moves to T2, it’s still waiting and then it moves to T3 which is ready and executes the code. Do you see the problem here?\n", + "\n", + "T3 was ready but the interpreter switched between T2 and T1 first - that incurred switching costs which we could have avoided if the interpreter first moved to T3, right?\n", + "\n", + "http://masnun.rocks/2016/10/06/async-python-the-different-forms-of-concurrency/" + ] + }, + { + "cell_type": "markdown", + "id": "7c84a6a2", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Why do we need to use asyncio?\n", + "- Asyncio provides us an event loop. \n", + "- The event loop tracks different I/O events and **switches to tasks which are ready** and **pauses the ones which are waiting on I/O**.\n", + "- Thus we don’t waste time on tasks which are not ready to run right now.\n", + "- Multithreading programming is all about concurrent execution of different functions. \n", + "- Async programming is about non-blocking execution between functions" + ] + }, + { + "cell_type": "markdown", + "id": "e9760c8c", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "The idea is very simple. \n", + "- There’s an event loop. \n", + "- And we have functions that run async, I/O operations. \n", + "- We give our functions to the event loop and ask it to run those for us. \n", + "- The event loop gives us back a Future object, it’s like a promise that we will get something back in the future. \n", + "- We hold on to the promise, time to time check if it has a value (when we feel impatient) and finally when the future has a value, we use it in some other operations." + ] + }, + { + "cell_type": "markdown", + "id": "c0cb61d8", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## Why do we need to use asyncio?\n", + "* CPU Bound => Multi Processing\n", + "* I/O Bound, Fast I/O, Limited Number of Connections => Multi Threading\n", + "* I/O Bound, Slow I/O, Many connections => Asyncio" + ] + }, + { + "cell_type": "markdown", + "id": "fe5bd70a", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "- It is very difficult to write code that is thread safe. With asyncronous code, you know exactly where the code will shift from one task to the next and race conditions are therefore much harder to come by.\n", + "- Threads consume a fair amount of data since each thread needs to have its own stack. With async code, all the code shares the same stack and the stack is kept small due to continuously unwinding the stack between tasks.\n", + "- Threads are OS structures and are therefore more memory for the platform to support. There is no such problem with asynchronous tasks." + ] + }, + { + "cell_type": "markdown", + "id": "dc1407eb", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Can we still use pg8000?\n", + "Yes, if we use threads. But it's not the best solution in our case, since we wan't to have a lot of calls to db and a lot of connections." + ] + }, + { + "cell_type": "markdown", + "id": "a8ec3fd7", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Async postgres libraries" + ] + }, + { + "cell_type": "markdown", + "id": "6b35622b", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "We will compare 3 libraries today:\n", + "1. aiopg\n", + "2. psycopg3\n", + "3. asyncpg " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "49851c64", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [], + "source": [ + "# Postgres database details:\n", + "host = \"host\"\n", + "db_name = \"db_name\"\n", + "port = \"5432\"\n", + "username = \"username\"\n", + "password = \"password\"\n", + "schema = \"schema\"" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b49f91a7", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [], + "source": [ + "PINK = '\\033[38;5;205m'\n", + "TEAL = '\\033[38;5;31m'\n", + "GREEN = '\\033[32m'\n", + "RESET = '\\033[0m'\n", + "\n", + "def print_pink(msg):\n", + " print(PINK + str(msg) + RESET)\n", + " \n", + "def print_teal(msg):\n", + " print(TEAL + str(msg) + RESET)\n", + " \n", + "def print_green(msg):\n", + " print(GREEN + str(msg) + RESET)\n", + "\n", + " \n", + "def print_in_color(msg, color):\n", + " if color == 'green':\n", + " print_green(msg)\n", + " elif color == 'teal':\n", + " print_teal(msg)\n", + " else:\n", + " print_pink(msg)" + ] + }, + { + "cell_type": "markdown", + "id": "855dfea8", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# aiopg\n", + "\n", + "- Python: 3.6+ \n", + "- OS: Linux, macOS, Windows\n", + "- Uses psycopg2-binary and requires sqlalchemy" + ] + }, + { + "cell_type": "markdown", + "id": "afd80c11", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "- 1327 stars\n", + "- last release October 2022 (9 month ago)\n", + "- 59 issues\n", + "- 12 open PRs" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "50dbbe2f", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/9z/rhfc541d14q5klxp9lqvgx8m0000gq/T/ipykernel_23983/2917714263.py:4: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n", + " from IPython.core.display import Image, display\n" + ] + } + ], + "source": [ + "import sqlalchemy\n", + "import asyncio\n", + "from aiopg.sa import create_engine as aiopg_create_engine\n", + "from IPython.core.display import Image, display\n", + "\n", + "async def aiopg_async_get_monitors_many_calls(color=\"green\"):\n", + " # Open async connection\n", + " print_in_color(f\"Openning connection\", color=color)\n", + " async with aiopg_create_engine(\n", + " host=host,\n", + " port=port,\n", + " user=username,\n", + " password=password,\n", + " dbname=db_name,\n", + " options=f\"-c search_path=dbo,{schema}\"\n", + " ) as engine:\n", + " \n", + " async with engine.acquire() as conn:\n", + " async for row in conn.execute(f\"\"\"SELECT id, name FROM dh_monitors LIMIT 3\"\"\"):\n", + " print_in_color(row, color)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "912b26e7", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<_GatheringFuture pending>" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[32mOpenning connection\u001b[0m\n", + "\u001b[38;5;205mOpenning connection\u001b[0m\n", + "\u001b[38;5;31mOpenning connection\u001b[0m\n", + "\u001b[38;5;205m(UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'monitor_for_deletion')\u001b[0m\n", + "\u001b[38;5;205m(UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'vitaly_leen_reg_mon_1')\u001b[0m\n", + "\u001b[38;5;205m(UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'not_standalone_monitor_007')\u001b[0m\n", + "\u001b[38;5;31m(UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'monitor_for_deletion')\u001b[0m\n", + "\u001b[38;5;31m(UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'vitaly_leen_reg_mon_1')\u001b[0m\n", + "\u001b[38;5;31m(UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'not_standalone_monitor_007')\u001b[0m\n", + "\u001b[32m(UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'monitor_for_deletion')\u001b[0m\n", + "\u001b[32m(UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'vitaly_leen_reg_mon_1')\u001b[0m\n", + "\u001b[32m(UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'not_standalone_monitor_007')\u001b[0m\n" + ] + } + ], + "source": [ + "asyncio.gather(\n", + " aiopg_async_get_monitors_many_calls(color='green'),\n", + " aiopg_async_get_monitors_many_calls(color=\"pink\"),\n", + " aiopg_async_get_monitors_many_calls(color=\"teal\")\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "0ba10a3e", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# psycopg3\n", + "\n", + "- Python: from version 3.7 to 3.11\n", + "- Python 3.6 supported before Psycopg 3.1\n", + "- PostgreSQL: from version 10 to 15 (We use 14)\n", + "- OS: Linux, macOS, Windows" + ] + }, + { + "cell_type": "markdown", + "id": "0e4cc1aa", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "- 1100 stars\n", + "- last commit recently\n", + "- 35 issues\n", + "- 11 open PRs" + ] + }, + { + "cell_type": "markdown", + "id": "00ab92e4", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "### Sync way" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "f9725c47", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[38;5;31m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n" + ] + } + ], + "source": [ + "import psycopg\n", + "from psycopg.rows import dict_row\n", + "\n", + "def sync_get_monitors(color):\n", + " with psycopg.connect(\n", + " host=host,\n", + " port=port,\n", + " user=username,\n", + " password=password,\n", + " dbname=db_name,\n", + " options=f\"-c search_path=dbo,{schema}\"\n", + " ) as conn:\n", + "\n", + " # Open a cursor to perform database operations\n", + " with conn.cursor(row_factory=dict_row) as cur:\n", + " cur.execute(\"\"\"SELECT id, name FROM dh_monitors LIMIT 3\"\"\")\n", + " for record in cur:\n", + " print_in_color(record, color=color)\n", + "\n", + "sync_get_monitors(color=\"teal\")" + ] + }, + { + "cell_type": "markdown", + "id": "5eb4817a", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "### Async way" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "71747dcb", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "outputs": [], + "source": [ + "async def psycopg3_async_get_monitors_many_calls(color=\"green\"):\n", + " # Open async connection\n", + " print_in_color(f\"Openning connection\", color=color)\n", + " async with await psycopg.AsyncConnection.connect(\n", + " host=host,\n", + " port=port,\n", + " user=username,\n", + " password=password,\n", + " dbname=db_name,\n", + " options=f\"-c search_path=dbo,{schema}\") as aconn:\n", + " \n", + " # Open an async cursor to perform database operations\n", + " async with aconn.cursor(row_factory=dict_row) as acur:\n", + " await acur.execute(f\"\"\"SELECT id, name FROM dh_monitors LIMIT 3\"\"\")\n", + " async for record in acur:\n", + " print_in_color(record, color=color)\n", + " print_in_color(f\"fetched 100 %\", color=color)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c3cb9e01", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<_GatheringFuture pending>" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[32mOpenning connection\u001b[0m\n", + "\u001b[38;5;205mOpenning connection\u001b[0m\n", + "\u001b[38;5;31mOpenning connection\u001b[0m\n", + "\u001b[32m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[32m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[32m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[32mfetched 100 %\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[38;5;205mfetched 100 %\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[38;5;31mfetched 100 %\u001b[0m\n" + ] + } + ], + "source": [ + "asyncio.gather(\n", + " psycopg3_async_get_monitors_many_calls(color='green'),\n", + " psycopg3_async_get_monitors_many_calls(color=\"pink\"),\n", + " psycopg3_async_get_monitors_many_calls(color=\"teal\")\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "6ec9ea7f", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "### Async way with one connection" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "773c3f04", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [], + "source": [ + "async def async_get_monitors_with_connection(aconn, color=\"green\"):\n", + " print_in_color(f\"Creating cursor\", color=color) \n", + " acur = aconn.cursor(row_factory=dict_row)\n", + " \n", + " # Open an async cursor to perform database operations\n", + " print_in_color(f\"Starting fetching\", color=color) \n", + " await acur.execute(f\"\"\"SELECT id, name FROM dh_monitors LIMIT 3\"\"\")\n", + " async for record in acur:\n", + " print_in_color(record, color=color)\n", + " print_in_color(f\"fetched 100 %\", color=color)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "dbc7f16f", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Openning connection\n" + ] + }, + { + "data": { + "text/plain": [ + "<_GatheringFuture pending>" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[32mCreating cursor\u001b[0m\n", + "\u001b[32mStarting fetching\u001b[0m\n", + "\u001b[38;5;205mCreating cursor\u001b[0m\n", + "\u001b[38;5;205mStarting fetching\u001b[0m\n", + "\u001b[38;5;31mCreating cursor\u001b[0m\n", + "\u001b[38;5;31mStarting fetching\u001b[0m\n", + "\u001b[32m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[32m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[32m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[32mfetched 100 %\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[38;5;205mfetched 100 %\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[38;5;31mfetched 100 %\u001b[0m\n" + ] + } + ], + "source": [ + "print(f\"Openning connection\") \n", + "aconn = await psycopg.AsyncConnection.connect(\n", + " host=host,\n", + " port=port,\n", + " user=username,\n", + " password=password,\n", + " dbname=db_name,\n", + " options=f\"-c search_path=dbo,{schema}\")\n", + "\n", + "asyncio.gather(\n", + " async_get_monitors_with_connection(aconn=aconn, color='green'),\n", + " async_get_monitors_with_connection(aconn=aconn, color=\"pink\"),\n", + " async_get_monitors_with_connection(aconn=aconn, color=\"teal\")\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "a9eaf442", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "### Async way with one cursor" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "0615739a", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [], + "source": [ + "async def async_get_monitors_with_cursor(acur, color=\"green\"):\n", + " # Open an async cursor to perform database operations\n", + " print_in_color(f\"Starting fetching\", color=color) \n", + " await acur.execute(f\"\"\"SELECT id, name FROM dh_monitors LIMIT 3\"\"\")\n", + " async for record in acur:\n", + " print_in_color(record, color=color)\n", + " print_in_color(f\"fetched 100 %\", color=color)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "78f7da65", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Openning connection\n" + ] + }, + { + "data": { + "text/plain": [ + "<_GatheringFuture pending>" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[32mStarting fetching\u001b[0m\n", + "\u001b[38;5;205mStarting fetching\u001b[0m\n", + "\u001b[38;5;31mStarting fetching\u001b[0m\n", + "\u001b[32m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[32m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[32m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[32mfetched 100 %\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[38;5;205mfetched 100 %\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[38;5;31mfetched 100 %\u001b[0m\n" + ] + } + ], + "source": [ + "print(f\"Openning connection\") \n", + "aconn = await psycopg.AsyncConnection.connect(\n", + " host=host,\n", + " port=port,\n", + " user=username,\n", + " password=password,\n", + " dbname=db_name,\n", + " options=f\"-c search_path=dbo,{schema}\")\n", + "acur = aconn.cursor(row_factory=dict_row)\n", + "\n", + "asyncio.gather(\n", + " async_get_monitors_with_cursor(acur=acur, color='green'),\n", + " async_get_monitors_with_cursor(acur=acur, color=\"pink\"),\n", + " async_get_monitors_with_cursor(acur=acur, color=\"teal\")\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "03712f4e", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "### Async way with one cursor and await" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "82eeca51", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [], + "source": [ + "async def async_get_monitors_with_cursor_and_await(acur, color=\"green\"):\n", + " # Open an async cursor to perform database operations\n", + " print_in_color(f\"Starting fetching\", color=color) \n", + " await acur.execute(f\"\"\"SELECT id, name FROM dh_monitors LIMIT 3\"\"\")\n", + " for i in range(3):\n", + " print_in_color(await acur.fetchone(), color=color)\n", + " await asyncio.sleep(0)\n", + " print_in_color(f\"fetched 100 %\", color=color)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "02c61a15", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Openning connection\n" + ] + }, + { + "data": { + "text/plain": [ + "<_GatheringFuture pending>" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[32mStarting fetching\u001b[0m\n", + "\u001b[38;5;205mStarting fetching\u001b[0m\n", + "\u001b[38;5;31mStarting fetching\u001b[0m\n", + "\u001b[32m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[32m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[32m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[32mfetched 100 %\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[38;5;205mfetched 100 %\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[38;5;31mfetched 100 %\u001b[0m\n" + ] + } + ], + "source": [ + "print(f\"Openning connection\") \n", + "aconn = await psycopg.AsyncConnection.connect(\n", + " host=host,\n", + " port=port,\n", + " user=username,\n", + " password=password,\n", + " dbname=db_name,\n", + " options=f\"-c search_path=dbo,{schema}\")\n", + "acur = aconn.cursor(row_factory=dict_row)\n", + "\n", + "\n", + "asyncio.gather(\n", + " async_get_monitors_with_cursor(acur=acur, color='green'),\n", + " async_get_monitors_with_cursor(acur=acur, color=\"pink\"),\n", + " async_get_monitors_with_cursor(acur=acur, color=\"teal\")\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "624509a4", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# asyncpg\n", + "\n", + "- Python: 3.7 +\n", + "- PostgreSQL: from version 9.5- to 15 (We use 14)" + ] + }, + { + "cell_type": "markdown", + "id": "d19feaa4", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "- 6100 stars\n", + "- last commit recently\n", + "- 181 issues\n", + "- 20 open PRs" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "ef11e2b7", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "outputs": [], + "source": [ + "import asyncpg\n", + "async def asyncpg_async_get_monitors_many_calls(color=\"green\"): \n", + " print_in_color(f\"Openning connection\", color=color)\n", + " conn = await asyncpg.connect(\n", + " host=host,\n", + " port=port,\n", + " user=username,\n", + " password=password,\n", + " database=db_name,\n", + " server_settings={'search_path': schema}\n", + " )\n", + " rows = await conn.fetch(f\"\"\"SELECT id, name FROM dh_monitors LIMIT 3\"\"\")\n", + " for row in rows:\n", + " print_in_color(dict(row), color=color)\n", + "\n", + " await conn.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "7c36a896", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<_GatheringFuture pending>" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[32mOpenning connection\u001b[0m\n", + "\u001b[38;5;205mOpenning connection\u001b[0m\n", + "\u001b[38;5;31mOpenning connection\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[32m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[32m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[32m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n" + ] + } + ], + "source": [ + "asyncio.gather(\n", + " asyncpg_async_get_monitors_many_calls(color='green'),\n", + " asyncpg_async_get_monitors_many_calls(color=\"pink\"),\n", + " asyncpg_async_get_monitors_many_calls(color=\"teal\")\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "f73476bb", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "### Async way with functions that require many db calls" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "fc8ea557", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "source": [ + "import asyncio\n", + "async def async_get_monitors_many_calls(color=\"green\"):\n", + " # Open async connection\n", + " print_in_color(f\"Openning connection\", color=color)\n", + " async with await psycopg.AsyncConnection.connect(\n", + " host=host,\n", + " port=port,\n", + " user=username,\n", + " password=password,\n", + " dbname=db_name,\n", + " options=f\"-c search_path=dbo,{schema}\") as aconn:\n", + " \n", + " # Open an async cursor to perform database operations\n", + " async with aconn.cursor(row_factory=dict_row) as acur:\n", + " await acur.execute(f\"\"\"SELECT id, name FROM dh_monitors LIMIT 3\"\"\")\n", + " async for record in acur:\n", + " print_in_color(record, color=color)\n", + " await asyncio.sleep(0)\n", + " print_in_color(f\"fetched 100 %\", color=color)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "65f1163a", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<_GatheringFuture pending>" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[32mOpenning connection\u001b[0m\n", + "\u001b[38;5;205mOpenning connection\u001b[0m\n", + "\u001b[38;5;31mOpenning connection\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[38;5;205m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[38;5;205mfetched 100 %\u001b[0m\n", + "\u001b[32m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[32m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('c17feb88-db0b-4c58-84c1-8bac48b0dc77'), 'name': 'monitor_for_deletion'}\u001b[0m\n", + "\u001b[32m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('e72bd6e6-b880-4b64-b91b-dedfa98fb12e'), 'name': 'vitaly_leen_reg_mon_1'}\u001b[0m\n", + "\u001b[32mfetched 100 %\u001b[0m\n", + "\u001b[38;5;31m{'id': UUID('6f2b03f0-bedb-4b31-b937-190d88c1f040'), 'name': 'not_standalone_monitor_007'}\u001b[0m\n", + "\u001b[38;5;31mfetched 100 %\u001b[0m\n" + ] + } + ], + "source": [ + "asyncio.gather(\n", + " async_get_monitors_many_calls(color='green'),\n", + " async_get_monitors_many_calls(color=\"pink\"),\n", + " async_get_monitors_many_calls(color=\"teal\")\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "998865b5", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Compare " + ] + }, + { + "cell_type": "markdown", + "id": "0e57f3c5", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## Girhub data\n", + "* aiopg - 1327, last release October 2022\n", + "* psycopg3 - 1100, last commit recently\n", + "* asyncpg - 6100, last commit recently" + ] + }, + { + "cell_type": "markdown", + "id": "e3da99fb", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## Benchmark data (from asyncpg creators research)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "0f3ab286", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(Image(url='img/Benchmark.png', width=800, unconfined=True))" + ] + }, + { + "cell_type": "markdown", + "id": "b707ed0e", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## Benchmark data\n", + "The above results are a geometric mean of benchmarks obtained with PostgreSQL client driver benchmarking toolbench in June 2023 (click on the chart to see full details).\n" + ] + }, + { + "cell_type": "markdown", + "id": "34e39ad1", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "The above results are a geometric mean of benchmarks obtained with PostgreSQL client driver benchmarking toolbench in June 2023 (click on the chart to see full details). [Link to the full research](https://gistpreview.github.io/?0ed296e93523831ea0918d42dd1258c2) \n", + "**However, the [research](https://github.com/MagicStack/asyncpg?tab=readme-ov-file) was done by asyncpg creators, so please be caution with using this benchmark.**" + ] + }, + { + "cell_type": "markdown", + "id": "249e4219", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## In general\n", + "\n", + "- aiopg:\n", + "\n", + "- psycopg3: Extensive docs, docs on async topic include useful examples.In one of the PRs, a main contributor shared a blogpost (May 2020) they wrote. The topic was optimization and tagged with psycopg and development. asyncpg is faster, but psycopg aims to be more user-friendly\n", + "\n", + "- asyncpg: extensive README. Includes benchmark showing it's supposedly 3x faster than aiopg and psycopg2, psycopg3 is not mentioned in the benchmark.\n" + ] + }, + { + "cell_type": "markdown", + "id": "3628a915", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "# aiopg\n", + "\n", + "- Python: 3.6+ \n", + "- OS: Linux, macOS, Windows\n", + "- Uses psycopg2-binary and requires sqlalchemy" + ] + }, + { + "cell_type": "markdown", + "id": "8ea6d445", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "- 1327 stars\n", + "- last release October 2022 (9 month ago)\n", + "- 59 issues\n", + "- 12 open PRs" + ] + }, + { + "cell_type": "markdown", + "id": "13b7cec0", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "# psycopg3\n", + "\n", + "- Python: from version 3.7 to 3.11\n", + "- Python 3.6 supported before Psycopg 3.1\n", + "- PostgreSQL: from version 10 to 15 (We use 14)\n", + "- OS: Linux, macOS, Windows" + ] + }, + { + "cell_type": "markdown", + "id": "243bf8a9", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "- 1100 stars\n", + "- last commit recently\n", + "- 35 issues\n", + "- 11 open PRs" + ] + }, + { + "cell_type": "markdown", + "id": "59919ea7", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "# asyncpg\n", + "\n", + "- Python: 3.7 +\n", + "- PostgreSQL: from version 9.5- to 15 (We use 14)" + ] + }, + { + "cell_type": "markdown", + "id": "1ba41557", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "- 6100 stars\n", + "- last commit recently\n", + "- 181 issues\n", + "- 20 open PRs" + ] + }, + { + "cell_type": "markdown", + "id": "e6270514", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "### For future read:\n", + "- https://www.varrazzo.com/blog/2020/05/19/a-trip-into-optimisation/" + ] + }, + { + "cell_type": "markdown", + "id": "053cdc43", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# PRESENTATION IS OVER." + ] + } + ], + "metadata": { + "celltoolbar": "Slideshow", + "kernelspec": { + "display_name": "async-libraries-test-conda-real", + "language": "python", + "name": "async-libraries-test-conda-real" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/db/mixin/__init__.py b/appkits/qpyapp/src/qpynotes/basic/db/mixin/__init__.py new file mode 100644 index 0000000..1948fab --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/db/mixin/__init__.py @@ -0,0 +1 @@ +from .timestamp_mixin import * diff --git a/appkits/qpyapp/src/qpynotes/basic/db/mixin/repo.py b/appkits/qpyapp/src/qpynotes/basic/db/mixin/repo.py new file mode 100644 index 0000000..f1eedaa --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/db/mixin/repo.py @@ -0,0 +1,56 @@ +from typing import Generic, TypeVar + +from pydantic import BaseModel +from sqlalchemy import delete, select, update + +from .sessions import Base, session + +ModelType = TypeVar("ModelType", bound=Base) + + +class SynchronizeSessionEnum(BaseModel): + FETCH = "fetch" + EVALUATE = "evaluate" + FALSE = False + + +class BaseRepo(Generic[ModelType]): + def __init__(self, model: type[ModelType]): + self.model = model + + async def get_by_id(self, id: int) -> ModelType | None: + query = select(self.model).where(self.model.id == id) + return await session.execute(query).scalars().first() + + async def update_by_id( + self, + id: int, + params: dict, + synchronize_session: SynchronizeSessionEnum = False, + ) -> None: + query = ( + update(self.model) + .where(self.model.id == id) + .values(**params) + .execution_options(synchronize_session=synchronize_session) + ) + await session.execute(query) + + async def delete(self, model: ModelType, session) -> None: + await session.delete(model) + + async def delete_by_id( + self, + id: int, + synchronize_session: SynchronizeSessionEnum = False, + ) -> None: + query = ( + delete(self.model) + .where(self.model.id == id) + .execution_options(synchronize_session=synchronize_session) + ) + await session.execute(query) + + async def save(self, model: ModelType) -> ModelType: + saved = await session.add(model) + return saved diff --git a/appkits/qpyapp/src/qpynotes/basic/db/mixin/sessions.py b/appkits/qpyapp/src/qpynotes/basic/db/mixin/sessions.py new file mode 100644 index 0000000..69d538b --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/db/mixin/sessions.py @@ -0,0 +1,82 @@ +from collections.abc import AsyncGenerator +from contextlib import asynccontextmanager +from contextvars import ContextVar, Token +from enum import Enum + +from sqlalchemy import Delete, Insert, Update, create_engine +from sqlalchemy.ext.asyncio import ( + AsyncEngine, + AsyncSession, + async_scoped_session, + async_sessionmaker, + create_async_engine, +) +from sqlalchemy.orm import DeclarativeBase, Session + +from revisited_lessons.r_config.models import AppConfig, appConfig + +session_context: ContextVar[str] = ContextVar("session_context") +read_engine = create_engine(str(appConfig.READER_DB_URL)) + + +def get_session_context() -> str: + return session_context.get() + + +def set_session_context(session_id: str) -> Token: + return session_context.set(session_id) + + +def reset_session_context(context: Token) -> None: + session_context.reset(context) + + +class EngineType(Enum): + WRITER = "writer" + READER = "reader" + + +def create_engines(config: AppConfig) -> dict[EngineType, AsyncEngine]: + return { + EngineType.WRITER: create_async_engine(config.WRITER_DB_URL, pool_recycle=3600), + EngineType.READER: create_async_engine(config.READER_DB_URL, pool_recycle=3600), + } + + +class RoutingSession(Session): + def __init__(self, engines: dict[EngineType, AsyncEngine]): + super().__init__() + self.engines = engines + + def get_bind(self, mapper=None, clause=None, **kw): + if self._flushing or isinstance(clause, (Update, Delete, Insert)): + return self.engines[EngineType.WRITER].sync_engine + else: + return self.engines[EngineType.READER].sync_engine + + +_async_session_factory = async_sessionmaker( + class_=AsyncSession, + sync_session_class=RoutingSession, + expire_on_commit=False, +) +session = async_scoped_session( + session_factory=_async_session_factory, + scopefunc=get_session_context, +) + + +class Base(DeclarativeBase): ... + + +@asynccontextmanager +async def session_factory() -> AsyncGenerator[AsyncSession, None]: + _session = async_sessionmaker( + class_=AsyncSession, + sync_session_class=RoutingSession, + expire_on_commit=False, + )() + try: + yield _session + finally: + await _session.close() diff --git a/appkits/qpyapp/src/qpynotes/basic/db/mixin/timestamp_mixin.py b/appkits/qpyapp/src/qpynotes/basic/db/mixin/timestamp_mixin.py new file mode 100644 index 0000000..e107ec6 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/db/mixin/timestamp_mixin.py @@ -0,0 +1,18 @@ +from datetime import datetime + +from sqlalchemy import DateTime, func +from sqlalchemy.orm import Mapped, mapped_column + + +class TimestampMixin: + created_at: Mapped[datetime] = mapped_column( + DateTime, + default=func.now(), + nullable=False, + ) + updated_at: Mapped[datetime] = mapped_column( + DateTime, + default=func.now(), + onupdate=func.now(), + nullable=False, + ) diff --git a/appkits/qpyapp/src/qpynotes/basic/db/mixin/transactions.py b/appkits/qpyapp/src/qpynotes/basic/db/mixin/transactions.py new file mode 100644 index 0000000..4d818f4 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/db/mixin/transactions.py @@ -0,0 +1,19 @@ +from functools import wraps + +from .sessions import session + + +class Transactional: + def __call__(self, func): + @wraps(func) + async def _transactional(*args, **kwargs): + try: + result = await func(*args, **kwargs) + await session.commit() + except Exception as e: + await session.rollback() + raise e + + return result + + return _transactional diff --git a/appkits/qpyapp/src/qpynotes/basic/db/sqlachemy-basic-sql.ipynb b/appkits/qpyapp/src/qpynotes/basic/db/sqlachemy-basic-sql.ipynb new file mode 100644 index 0000000..29bcc68 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/db/sqlachemy-basic-sql.ipynb @@ -0,0 +1,184 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "initial_id", + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": "# sqlalchemy Basic SQL \n" + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Setup Database Connection\n", + "\n", + "Use Postgresql As demo:\n", + "\n", + "- [X] Sync\n", + "- [X] Async" + ], + "id": "80fe5d38b81254e0" + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Plain SQL execution\n", + "\n", + "Basic SQL Operation:\n", + "\n", + "- [] Select\n", + "- [] Update\n", + "- [] Delete\n", + "- [] Insert" + ], + "id": "eaef75b66f283f3b" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-19T07:03:07.361174Z", + "start_time": "2024-06-19T07:03:07.110306Z" + } + }, + "cell_type": "code", + "source": [ + "from sqlmodel import SQLModel, Field\n", + "from typing import Optional\n", + "\n", + "from sqlalchemy.ext.asyncio import create_async_engine\n", + "from sqlalchemy import create_engine\n", + "import psycopg\n", + "\n", + "pg_url = \"postgresql+psycopg://postgres:changeit@127.0.0.1:5432/workspace\"\n", + "apg_url = \"postgresql+psycopg_async://postgres:changeit@127.0.0.1:5432/workspace\"\n", + "\n", + "print(\"create sync engine ........\")\n", + "engine = create_engine(pg_url, connect_args={'options': '-c search_path=demos,public'})\n", + "print(engine)\n", + "print(\"create sync engine --done\")\n", + "\n", + "print(\"create async engine ........\")\n", + "async_engine = create_async_engine(apg_url, echo=True)\n", + "print(\"create async engine --done\")\n", + "\n", + "class DemoHero(SQLModel, table=True):\n", + " __tablename__ = \"demo_hero\"\n", + " __table_args__ = {\"extend_existing\": True}\n", + " id: Optional[int] = Field(default=None, primary_key=True)\n", + " name: str\n", + " age: int\n", + "\n", + "\n", + "class DemoUser(SQLModel, table=True):\n", + " __tablename__ = \"demo_user\"\n", + " __table_args__ = {'schema': 'public','extend_existing': True}\n", + " id: Optional[int] = Field(default=None, primary_key=True)\n", + " name: str\n", + " age: int\n", + "\n", + "## create tables\n", + "SQLModel.metadata.create_all(engine)\n", + "\n", + "conn = engine.connect()\n", + "result = conn.execute(DemoHero.insert(), [\n", + " {'name':'test4', 'age' : 12},\n", + " {'name':'test5', 'age' : 20},\n", + "])\n", + "print(result)\n", + "s = DemoHero.select()\n", + "print(str(s))\n", + "result = conn.execute(s)\n", + "rows = result.fetchall()\n", + "for row in rows:\n", + " print (row)\n", + "conn.close()\n" + ], + "id": "4cf231984a7386d", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "create sync engine ........\n", + "Engine(postgresql+psycopg://postgres:***@127.0.0.1:5432/workspace)\n", + "create sync engine --done\n", + "create async engine ........\n", + "create async engine --done\n" + ] + }, + { + "ename": "AttributeError", + "evalue": "insert", + "output_type": "error", + "traceback": [ + "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", + "\u001B[0;31mAttributeError\u001B[0m Traceback (most recent call last)", + "Cell \u001B[0;32mIn[14], line 39\u001B[0m\n\u001B[1;32m 36\u001B[0m SQLModel\u001B[38;5;241m.\u001B[39mmetadata\u001B[38;5;241m.\u001B[39mcreate_all(engine)\n\u001B[1;32m 38\u001B[0m conn \u001B[38;5;241m=\u001B[39m engine\u001B[38;5;241m.\u001B[39mconnect()\n\u001B[0;32m---> 39\u001B[0m result \u001B[38;5;241m=\u001B[39m conn\u001B[38;5;241m.\u001B[39mexecute(\u001B[43mDemoHero\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43minsert\u001B[49m(), [\n\u001B[1;32m 40\u001B[0m {\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mname\u001B[39m\u001B[38;5;124m'\u001B[39m:\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mtest4\u001B[39m\u001B[38;5;124m'\u001B[39m, \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mage\u001B[39m\u001B[38;5;124m'\u001B[39m : \u001B[38;5;241m12\u001B[39m},\n\u001B[1;32m 41\u001B[0m {\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mname\u001B[39m\u001B[38;5;124m'\u001B[39m:\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mtest5\u001B[39m\u001B[38;5;124m'\u001B[39m, \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mage\u001B[39m\u001B[38;5;124m'\u001B[39m : \u001B[38;5;241m20\u001B[39m},\n\u001B[1;32m 42\u001B[0m ])\n\u001B[1;32m 43\u001B[0m \u001B[38;5;28mprint\u001B[39m(result)\n\u001B[1;32m 44\u001B[0m s \u001B[38;5;241m=\u001B[39m DemoHero\u001B[38;5;241m.\u001B[39mselect()\n", + "File \u001B[0;32m~/Library/Caches/pypoetry/virtualenvs/qpybase-xqyWY3Dt-py3.11/lib/python3.11/site-packages/pydantic/_internal/_model_construction.py:242\u001B[0m, in \u001B[0;36mModelMetaclass.__getattr__\u001B[0;34m(self, item)\u001B[0m\n\u001B[1;32m 239\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m rebuilt_validator \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[1;32m 240\u001B[0m \u001B[38;5;66;03m# In this case, a validator was built, and so `__pydantic_core_schema__` should now be set\u001B[39;00m\n\u001B[1;32m 241\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mgetattr\u001B[39m(\u001B[38;5;28mself\u001B[39m, \u001B[38;5;124m'\u001B[39m\u001B[38;5;124m__pydantic_core_schema__\u001B[39m\u001B[38;5;124m'\u001B[39m)\n\u001B[0;32m--> 242\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mAttributeError\u001B[39;00m(item)\n", + "\u001B[0;31mAttributeError\u001B[0m: insert" + ] + } + ], + "execution_count": 14 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "## sqlachemy table meta data", + "id": "c9a6d66ec03e1fa3" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "from sqlalchemy import Table, Column, Integer, String,MetaData\n", + "\n", + "metadata = MetaData(naming_convention={\n", + " \"ix\": \"ix_%(column_0_label)s\",\n", + " \"uq\": \"uq_%(table_name)s_%(column_0_name)s\",\n", + " \"ck\": \"ck_%(table_name)s_%(constraint_name)s\",\n", + " \"fk\": \"fk_%(table_name)s_%(column_0_name)s_%(referred_table_name)s\",\n", + " \"pk\": \"pk_%(table_name)s\",\n", + " })\n", + "\n", + "user = Table(\n", + " \"user\",\n", + " metadata,\n", + " Column(\"user_id\", Integer, primary_key=True),\n", + " Column(\"user_name\", String(16), nullable=False),\n", + " Column(\"email_address\", String(60)),\n", + " Column(\"nickname\", String(50), nullable=False),\n", + ")" + ], + "id": "8f0e4c90d2c4ad92", + "outputs": [], + "execution_count": null + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/db/sqlachemy_demo.ipynb b/appkits/qpyapp/src/qpynotes/basic/db/sqlachemy_demo.ipynb new file mode 100644 index 0000000..ffae1b6 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/db/sqlachemy_demo.ipynb @@ -0,0 +1,237 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Python-SQL \n", + "\n", + "## Plain SQL\n", + "- SQL Statement\n", + " - Select\n", + " - Delete\n", + " - Update\n", + " - Insert\n", + "- Store Procedure\n", + "- How to Execute\n", + "\n", + "## ORM\n", + "- sqlalchemy\n", + "- sqlmodel" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Create Engine" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Engine(sqlite:///test.db)\n" + ] + } + ], + "source": [ + "\n", + "from sqlmodel import create_engine,text\n", + "\n", + "url = \"sqlite:///test.db\"\n", + "engine = create_engine(url, echo=True) ## future engine for async engine\n", + "print(engine)\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Create Table" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2023-05-16 13:10:36,646 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", + "2023-05-16 13:10:36,647 INFO sqlalchemy.engine.Engine PRAGMA main.table_info(\"students\")\n", + "2023-05-16 13:10:36,648 INFO sqlalchemy.engine.Engine [raw sql] ()\n", + "2023-05-16 13:10:36,650 INFO sqlalchemy.engine.Engine COMMIT\n" + ] + } + ], + "source": [ + "from sqlalchemy import Table, Column, Integer, String, MetaData\n", + "meta = MetaData()\n", + "\n", + "students = Table(\n", + " 'students', meta, \n", + " Column('id', Integer, primary_key = True), \n", + " Column('name', String), \n", + " Column('lastname', String), \n", + ")\n", + "meta.create_all(engine)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## SQL 操作\n", + "1. insert\n", + "2. select\n", + " 1. from text\n", + " 2. from orm model\n", + "3. delete" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2023-05-16 13:11:17,806 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", + "2023-05-16 13:11:17,807 INFO sqlalchemy.engine.Engine INSERT INTO students (name, lastname) VALUES (?, ?)\n", + "2023-05-16 13:11:17,808 INFO sqlalchemy.engine.Engine [generated in 0.00210s] (('test4', 'test4'), ('test5', 'test5'))\n", + "\n", + "SELECT students.id, students.name, students.lastname \n", + "FROM students\n", + "2023-05-16 13:11:17,812 INFO sqlalchemy.engine.Engine SELECT students.id, students.name, students.lastname \n", + "FROM students\n", + "2023-05-16 13:11:17,813 INFO sqlalchemy.engine.Engine [cached since 29.48s ago] ()\n", + "(1, 'test4', 'test4')\n", + "(2, 'test5', 'test5')\n", + "2023-05-16 13:11:17,815 INFO sqlalchemy.engine.Engine ROLLBACK\n" + ] + } + ], + "source": [ + "# ins = students.insert()\n", + "# print(str(ins))\n", + "# print(ins.compile().params)\n", + "conn = engine.connect()\n", + "result = conn.execute(students.insert(), [\n", + " {'name':'test4', 'lastname' : 'test4'},\n", + " {'name':'test5', 'lastname' : 'test5'},\n", + "])\n", + "print(result)\n", + "s = students.select()\n", + "print(str(s))\n", + "result = conn.execute(s)\n", + "rows = result.fetchall()\n", + "for row in rows:\n", + " print (row)\n", + "conn.close()\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## How to Use Session\n", + "\n", + "- Create\n", + "- Use Session to join and filter" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "2023-05-16 13:13:29,947 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", + "2023-05-16 13:13:29,948 INFO sqlalchemy.engine.Engine UPDATE students SET lastname=? WHERE 0 = 1\n", + "2023-05-16 13:13:29,950 INFO sqlalchemy.engine.Engine [generated in 0.00178s] ('test4 updated',)\n" + ] + }, + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sqlalchemy.orm import sessionmaker\n", + "Session = sessionmaker(bind = engine)\n", + "session = Session()\n", + "print(session)\n", + "session.query(students).filter(students.name == 'test4').update({'lastname': 'test4 updated'}) \n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Summary\n", + "\n", + "- SQL, How to Write SQL\n", + "- How to Execute SQL\n", + "- Basic SQL\n", + "- SQL + Execution = Result\n", + "- ORM, to define table and fields to build SQL\n", + "- Operation: SQL Operation\n", + "- SQL Functions: Doesn't Matter, Use Router to handler or decorator to handler" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.6" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/db/sqlachemy_setup.ipynb b/appkits/qpyapp/src/qpynotes/basic/db/sqlachemy_setup.ipynb new file mode 100644 index 0000000..d260d62 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/db/sqlachemy_setup.ipynb @@ -0,0 +1,78 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "initial_id", + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": "# sqlalchemy and Database Accessor\n" + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Setup Database Connection\n", + "\n", + "Use Postgresql As demo:\n", + "\n", + "- [X] Sync\n", + "- [X] Async" + ], + "id": "80fe5d38b81254e0" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "from sqlalchemy.ext.asyncio import create_async_engine\n", + "from sqlalchemy import create_engine\n", + "import psycopg\n", + "\n", + "pg_url = \"postgresql+psycopg://postgres:changeit@127.0.0.1:5432/workspace?currentSchema=demo\"\n", + "apg_url = \"postgresql+psycopg_async://postgres:changeit@127.0.0.1:5432/workspace?currentSchema=demo\"\n", + "\n", + "print(\"create sync engine ........\")\n", + "engine = create_engine(pg_url)\n", + "print(engine)\n", + "print(\"create sync engine --done\")\n", + "\n", + "print(\"create async engine ........\")\n", + "async_engine = create_async_engine(apg_url, echo=True)\n", + "print(\"create async engine --done\")" + ], + "id": "9f8cd777c03f2b97" + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "", + "id": "eaef75b66f283f3b" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/itermedia/args_keywords.ipynb b/appkits/qpyapp/src/qpynotes/basic/itermedia/args_keywords.ipynb new file mode 100644 index 0000000..1711e23 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/itermedia/args_keywords.ipynb @@ -0,0 +1,59 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": "# args and kwargs\n", + "id": "615b941063a5c37c" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "def func_args(*args,**kwargs):\n", + " print(args)\n", + " print(type(args))\n", + " print(kwargs)\n", + " print(type(kwargs))\n", + " for item in args:\n", + " print(item)\n", + " for item in kwargs:\n", + " print(item,kwargs[item])\n", + "\n", + "func_args(1,2,3,4,5,a=123,b=456)\n" + ], + "id": "db41419307fb7793", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": "", + "id": "2f5caa2b3c37719b" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/itermedia/closures.ipynb b/appkits/qpyapp/src/qpynotes/basic/itermedia/closures.ipynb new file mode 100644 index 0000000..7d98dd8 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/itermedia/closures.ipynb @@ -0,0 +1,259 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "# Closures\n", + "\n", + "High Order Functions: What is it?\n", + "- A function can take one or more functions as parameters\n", + "- A function can be returned as a result of another function\n", + "- A function can be modified\n", + "- A function can be assigned to a variable" + ], + "id": "544a9048f45bc3cb" + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "## Function as Parameter", + "id": "211bac230ef1f9c1" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "def sum_number(nums):\n", + " return sum(nums)\n", + "\n", + "def high_order_func(f,lst):\n", + " result = f(lst)\n", + " return result\n", + "\n", + "sum_result = high_order_func(sum_number, [1,2,3,4,5,6,7,8,9])\n", + "print(sum_result)\n", + "\n", + "## pass function and function parameter as input to do computation" + ], + "id": "4e9419c5840f94b4", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "## Function s Return Value", + "id": "9a7b6c2b42eb3cf5" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "def square(x): # a square function\n", + " return x ** 2\n", + "\n", + "def cube(x): # a cube function\n", + " return x ** 3\n", + "\n", + "def absolute(x): # an absolute value function\n", + " if x >= 0:\n", + " return x\n", + " else:\n", + " return -(x)\n", + "\n", + "def higher_order_function(type): # a higher order function returning a function\n", + " if type == 'square':\n", + " return square\n", + " elif type == 'cube':\n", + " return cube\n", + " elif type == 'absolute':\n", + " return absolute\n", + "\n", + "result = higher_order_function('square')\n", + "print(result(3)) # 9\n", + "result = higher_order_function('cube')\n", + "print(result(3)) # 27\n", + "result = higher_order_function('absolute')\n", + "print(result(-3)) # 3" + ], + "id": "355a4c79c8845721", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "## No Local Parameter", + "id": "e866f9210979bd1f" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "def print_msg(msg):\n", + " # This is the outer enclosing function\n", + "\n", + " def printer():\n", + " # This is the nested function\n", + " print(msg)\n", + "\n", + " printer()\n", + "\n", + "# We execute the function\n", + "# Output: Hello\n", + "print_msg(\"Hello\")" + ], + "id": "c79828c72fe7d181", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "def print_msg_func(msg):\n", + " # This is the outer enclosing function\n", + "\n", + " def printer():\n", + " # This is the nested function\n", + " print(msg)\n", + "\n", + " return printer # returns the nested function\n", + "\n", + "\n", + "# Now let's try calling this function.\n", + "# Output: Hello\n", + "another = print_msg_func(\"Hello\") ## function could be determined by other conditions\n", + "another()" + ], + "id": "dcbac515e816022e", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Closure 好处\n", + "\n", + "- 隐藏全局变量" + ], + "id": "6386001945fd93d7" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "def add_ten():\n", + " ten = 10\n", + " def add(num):\n", + " return num + ten\n", + " return add\n", + "\n", + "closure_result = add_ten()\n", + "print(closure_result.__closure__[0].cell_contents)\n", + "print(closure_result(5)) # 15\n", + "print(closure_result(10)) # 20" + ], + "id": "a7cb6f441e56c1c9", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## map()/filter()\n", + "\n", + "- map(): do something for every item and return to origin \n", + "- filter(): filter something\n", + "\n", + "## map()" + ], + "id": "f05c2415660e9403" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "numbers = [1, 2, 3, 4, 5] # iterable\n", + "def square(x):\n", + " return x ** 2\n", + "numbers_squared = map(square, numbers)\n", + "print(list(numbers_squared)) # [1, 4, 9, 16, 25]\n", + "# Lets apply it with a lambda function\n", + "numbers_squared = map(lambda x : x ** 2, numbers)\n", + "print(list(numbers_squared)) # [1, 4, 9, 16, 25]" + ], + "id": "efeeff54efd8a221", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "## filter()", + "id": "d9042d54667fa921" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "\n", + "numbers = [1, 2, 3, 4, 5] # iterable\n", + "\n", + "def is_even(num): \n", + " \"\"\"\n", + " Returns True if num is even, False otherwise.\n", + " :param num: \n", + " :return: \n", + " \"\"\"\n", + " if num % 2 == 0:\n", + " return True\n", + " return False\n", + "\n", + "even_numbers = filter(is_even, numbers)\n", + "print(list(even_numbers)) # [2, 4]\n", + "\n", + "names = ['Milaan', 'Arthur', 'Bill', 'Clark'] # iterable\n", + "def is_name_long(name):\n", + " \"\"\"\n", + " Returns True if name is long, False otherwise.\n", + " :param name: \n", + " :return: \n", + " \"\"\"\n", + " if len(name) > 5:\n", + " return True\n", + " return False\n", + "\n", + "long_names = filter(is_name_long, names)\n", + "print(list(long_names)) # ['Milaan', 'Arthur']" + ], + "id": "2d81f94480e3ae63" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/itermedia/decorator.ipynb b/appkits/qpyapp/src/qpynotes/basic/itermedia/decorator.ipynb new file mode 100644 index 0000000..4b44d8d --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/itermedia/decorator.ipynb @@ -0,0 +1,218 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "# Decorator\n", + "\n", + "allows a user to add new functionality to an existing object without modifying its structure.\n", + "\n", + "But How?" + ], + "id": "48c09e61d95072bb" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "def first(msg):\n", + " print(msg)\n", + "\n", + "\n", + "first(\"Hello\")\n", + "\n", + "second = first\n", + "second(\"Hello\")" + ], + "id": "c9df5d44b9ec3435", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "def is_called(): # created 1st function\n", + " def is_returned(): # Created 2nd function (nested)\n", + " print(\"Hello\")\n", + " return is_returned\n", + "\n", + "\n", + "new = is_called()\n", + "\n", + "# Outputs \"Hello\"\n", + "new()\n", + "\n", + "def uppercase_decorator(function):\n", + " def wrapper():\n", + " func = function()\n", + " make_uppercase = func.upper()\n", + " return make_uppercase\n", + " return wrapper\n", + "# Normal function\n", + "@uppercase_decorator\n", + "def greeting():\n", + " return 'Welcome to Python'\n", + "\n", + "g = uppercase_decorator(greeting)\n", + "print(g()) # WELCOME TO PYTHON\n", + "print(greeting())\n", + "@uppercase_decorator\n", + "def greeting_it():\n", + " return 'Welcome to Python'\n", + "\n", + "print(greeting_it())" + ], + "id": "facc7d214dc18ff6", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "## Decorate Arguments", + "id": "c2a55fbd36973559" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "def smart_divide(func):\n", + " def inner(a, b):\n", + " print(\"I am going to divide\", a, \"and\", b)\n", + " if b == 0:\n", + " print(\"Whoops! cannot divide with 0\")\n", + " return\n", + "\n", + " return func(a, b)\n", + " return inner\n", + "\n", + "\n", + "@smart_divide\n", + "def divide(a, b):\n", + " print(a/b)\n", + "\n", + "divide(1,2)\n", + "divide(1,0)\n", + "\n", + "# Example:\n", + "\n", + "def decorator_with_parameters(function):\n", + " def wrapper_accepting_parameters(para1, para2, para3):\n", + " function(para1, para2, para3)\n", + " print(\"I live in {}\".format(para3))\n", + " return wrapper_accepting_parameters\n", + "\n", + "def work_for_all(function):\n", + " def wrapper_accepting_parameters(*args, **kwargs):\n", + " function(*args,**kwargs)\n", + " print(\"I live in {}\".format(args[2]))\n", + " return wrapper_accepting_parameters\n", + "\n", + "@decorator_with_parameters\n", + "def print_full_name(first_name, last_name, country):\n", + " print(\"I am {} {}. I love to teach.\".format(\n", + " first_name, last_name, country))\n", + "\n", + "print_full_name(\"Milaan\", \"Parmar\",'London')" + ], + "id": "41f4c974c0448fe2", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "## Chain Decorators", + "id": "5b665c8822a46471" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "def star(func):\n", + " def inner(*args, **kwargs):\n", + " print(\"*\" * 30)\n", + " func(*args, **kwargs)\n", + " print(\"*\" * 30)\n", + " return inner\n", + "\n", + "\n", + "def percent(func):\n", + " def inner(*args, **kwargs):\n", + " print(\"%\" * 30)\n", + " func(*args, **kwargs)\n", + " print(\"%\" * 30)\n", + " return inner\n", + "\n", + "\n", + "@star\n", + "@percent\n", + "def printer(msg):\n", + " print(msg)\n", + "\n", + "\n", + "printer(\"Hello\")" + ], + "id": "d492359b27c5924e", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "'''These decorator functions are higher order functions\n", + "that take functions as parameters'''\n", + "\n", + "# First Decorator\n", + "def uppercase_decorator(function):\n", + " def wrapper():\n", + " func = function()\n", + " make_uppercase = func.upper()\n", + " return make_uppercase\n", + " return wrapper\n", + "\n", + "# Second decorator\n", + "def split_string_decorator(function):\n", + " def wrapper():\n", + " func = function()\n", + " splitted_string = func.split()\n", + " return splitted_string\n", + "\n", + " return wrapper\n", + "\n", + "@split_string_decorator\n", + "@uppercase_decorator # order with decorators is important in this case - .upper() function does not work with lists\n", + "def greeting():\n", + " return 'Welcome to Python'\n", + "print(greeting()) # WELCOME TO PYTHON" + ], + "id": "ac00c060ad96375b", + "outputs": [], + "execution_count": null + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/basic/itermedia/generators.ipynb b/appkits/qpyapp/src/qpynotes/basic/itermedia/generators.ipynb new file mode 100644 index 0000000..04bbc58 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/basic/itermedia/generators.ipynb @@ -0,0 +1,137 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "# Generators\n", + "\n", + "- yield: yield to execute something \n", + "- __iter__(),__next__()" + ], + "id": "b062480a2386a8cf" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "def my_generator():\n", + " n=1\n", + " print('this is printed one')\n", + " yield n\n", + " n +=1\n", + " print(n)\n", + " print('this is printed two')\n", + " n +=1\n", + " print(n)\n", + " print('this is printed three')\n", + " yield n+1\n", + "\n", + "a= my_generator()\n", + "print(next(a))\n", + "print(next(a))\n", + "for item in my_generator():\n", + " print(item)" + ], + "id": "25c617ac4048641e", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Generator\n", + "\n", + "- Generator in list comprehensive\n", + "- Memory Efficient: How?\n", + "- Represent Infinite Stream: How and Why?" + ], + "id": "27414ea46789c522" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "# Initialize the list\n", + "my_list = [1, 3, 6, 10]\n", + "\n", + "# square each term using list comprehension\n", + "list_ = [x**2 for x in my_list]\n", + "\n", + "# same thing can be done using a generator expression\n", + "# generator expressions are surrounded by parenthesis ()\n", + "generator = (x**2 for x in my_list)\n", + "\n", + "print(list_)\n", + "print(generator)\n", + "print(max(generator))\n", + "generator = (x**2 for x in my_list)\n", + "print(sum(generator))\n", + "\n", + "def pow_two_gen(max=0):\n", + " n=0\n", + " while n "JupyterNotesComposer": + parsed = Parser(note_file_path) + md_content = compose_md_files(parsed) + with open(md_file_path, "w") as md_file: + md_file.writelines(md_content) + return self + + +def covert_all_notes_to_md(notes_dir: str, md_dir: str): + notes = os.listdir(notes_dir) + for note in notes: + p = JupyterNotesComposer() + if os.listdir(note): + covert_all_notes_to_md() + md_path = "/".join([md_dir, note.replace(".ipynb", ".md")]) + p.to_md_file(md_path) diff --git a/appkits/qpyapp/src/qpynotes/topics/contextvars.ipynb b/appkits/qpyapp/src/qpynotes/topics/contextvars.ipynb new file mode 100644 index 0000000..3ae4022 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/contextvars.ipynb @@ -0,0 +1,33 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": "", + "id": "7b012f646a1b4b0e" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/crawler/basic.ipynb b/appkits/qpyapp/src/qpynotes/topics/crawler/basic.ipynb new file mode 100644 index 0000000..80ff0a8 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/crawler/basic.ipynb @@ -0,0 +1,198 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## 爬虫\n", + "\n", + "- API获取数据\n", + "- 网页获取数据\n", + " * 浏览器静态数据\n", + " * 浏览器动态数据\n", + " * 无痕浏览器\n", + "- 工具:\n", + " * httpx/request\n", + " * UI: DrissionPage/Selenium/Playwright\n", + " * RPA: 影刀/八爪鱼/RobotFramework/RPA工具\n", + "\n", + "### 1. httpx/requests\n", + "\n", + "- install: \n", + " * ```pdm add \"httpx[all]\" ```\n", + " * ```pdm add requests```\n", + "\n", + "### 1.1 httpx/requests demo\n", + "\n", + "Getting Data from API:\n", + "\n", + "\n" + ], + "id": "e9e11293d80da72a" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-10-22T07:44:06.358309Z", + "start_time": "2024-10-22T07:44:03.596826Z" + } + }, + "cell_type": "code", + "source": [ + "import asyncio\n", + "\n", + "import httpx\n", + "import requests\n", + "\n", + "async def post_data():\n", + " data = {'name': 'crawler','email':'crawler@gmail.com'}\n", + " async with httpx.AsyncClient() as client:\n", + " response = await client.post('https://httpbin.org/post', data=data)\n", + " print(response.json())\n", + " \n", + "def httpx_get():\n", + " url = \"https://httpbin.org/anything/anything\"\n", + " response = httpx.get(url)\n", + " print(response.json())\n", + " \n", + "def get_data():\n", + " url = 'https://httpbin.org/get'\n", + "\n", + "def requests_get_data():\n", + " url = \"https://httpbin.org/anything/anything\"\n", + " \n", + " payload = {}\n", + " headers = {}\n", + " response = requests.request(\"GET\", url, headers=headers, data=payload)\n", + " print(response.text)\n", + "\n", + "\n", + "# asyncio.run(post_data())\n", + "httpx_get()\n", + "requests_get_data()" + ], + "id": "bf4370300f7672c6", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'args': {}, 'data': '', 'files': {}, 'form': {}, 'headers': {'Accept': '*/*', 'Accept-Encoding': 'gzip, deflate', 'Host': 'httpbin.org', 'User-Agent': 'python-httpx/0.27.2', 'X-Amzn-Trace-Id': 'Root=1-671757c5-33989f7665227eec1a747665'}, 'json': None, 'method': 'GET', 'origin': '216.24.187.19', 'url': 'https://httpbin.org/anything/anything'}\n", + "{\n", + " \"args\": {}, \n", + " \"data\": \"\", \n", + " \"files\": {}, \n", + " \"form\": {}, \n", + " \"headers\": {\n", + " \"Accept\": \"*/*\", \n", + " \"Accept-Encoding\": \"gzip, deflate\", \n", + " \"Host\": \"httpbin.org\", \n", + " \"User-Agent\": \"python-requests/2.32.3\", \n", + " \"X-Amzn-Trace-Id\": \"Root=1-671757c6-23f4717802c17eba1f9fd6aa\"\n", + " }, \n", + " \"json\": null, \n", + " \"method\": \"GET\", \n", + " \"origin\": \"216.24.187.19\", \n", + " \"url\": \"https://httpbin.org/anything/anything\"\n", + "}\n", + "\n" + ] + } + ], + "execution_count": 3 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## 2. UI \n", + "\n", + "installation:\n", + "\n", + "- pdm add DrissionPage" + ], + "id": "f90e571e42b25698" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-10-22T07:57:01.038159Z", + "start_time": "2024-10-22T07:56:49.648829Z" + } + }, + "cell_type": "code", + "source": [ + "from DrissionPage import Chromium\n", + "# from DrissionPage import WebPage\n", + "# from DrissionPage import SessionPage\n", + "# from DrissionPage import SessionOptions\n", + "# from DrissionPage.common import Settings\n", + "# from DrissionPage.common import Keys\n", + "# from DrissionPage.common import By\n", + "# from DrissionPage.common import wait_until\n", + "# from DrissionPage.common import make_session_ele\n", + "# from DrissionPage.common import configs_to_here\n", + "# from DrissionPage.errors import ElementNotFoundError\n", + "# from DrissionPage.items import SessionElement\n", + "# from DrissionPage.items import ChromiumElement\n", + "# from DrissionPage.items import ShadowRoot\n", + "# from DrissionPage.items import NoneElement\n", + "# from DrissionPage.items import ChromiumTab\n", + "# from DrissionPage.items import MixTab\n", + "# from DrissionPage.items import ChromiumFrame\n", + "from DrissionPage import ChromiumOptions\n", + "\n", + "\n", + "# tab = Chromium().latest_tab\n", + "# tab.get('https://DrissionPage.cn')\n", + "# tab.close()\n", + "\n", + "def set_chromium_options():\n", + " path = r'D:\\Chrome\\Chrome.exe' # 请改为你电脑内Chrome可执行文件路径\n", + " ChromiumOptions().set_browser_path(path).save()\n", + "\n", + "def gitee_login():\n", + " # 启动或接管浏览器,并创建标签页对象\n", + " tab = Chromium().latest_tab\n", + " # 跳转到登录页面\n", + " tab.get('https://gitee.com/login')\n", + " \n", + " # 定位到账号文本框,获取文本框元素\n", + " ele = tab.ele('#user_login')\n", + " # 输入对文本框输入账号\n", + " ele.input('您的账号')\n", + " # 定位到密码文本框并输入密码\n", + " tab.ele('#user_password').input('您的密码')\n", + " # 点击登录按钮\n", + " tab.ele('@value=登 录').click()\n", + "\n", + "gitee_login()\n", + "\n" + ], + "id": "13deda9d10c699b3", + "outputs": [], + "execution_count": 9 + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/data_extraction/webdata.ipynb b/appkits/qpyapp/src/qpynotes/topics/data_extraction/webdata.ipynb new file mode 100644 index 0000000..eb8b9a3 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/data_extraction/webdata.ipynb @@ -0,0 +1,69 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "initial_id", + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "" + ] + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "import pandas as pd \n", + "\n", + "##1.extract data from website\n", + "df_premier21 = pd.read_csv('https://www.football-data.co.uk/mmz4281/2122/E0.csv')\n", + "print(df_premier21)\n", + "# rename columns\n", + "df_premier21 = df_premier21.rename(columns={'Date':'date',\n", + " 'HomeTeam':'home_team',\n", + " 'AwayTeam':'away_team',\n", + " 'FTHG': 'home_goals',\n", + " 'FTAG': 'away_goals'})\n", + "df_premier21\n", + "## 2. extract data from website html\n", + "simpsons = pd.read_html('https://en.wikipedia.org/wiki/List_of_The_Simpsons_episodes_(seasons_1%E2%80%9320)')\n", + "simpsons[1].head()" + ], + "id": "55a100255821ddcb" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": "", + "id": "4ad7c3a962f9fb4" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/excel/README.md b/appkits/qpyapp/src/qpynotes/topics/excel/README.md new file mode 100644 index 0000000..fba6ee4 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/excel/README.md @@ -0,0 +1,56 @@ +Working with Excel Files in Python +This site contains pointers to the best information available about working with Excel files in the Python programming language. + +Reading and Writing Excel Files +There are python packages available to work with Excel files that will run on any Python platform and that do not require either Windows or Excel to be used. They are fast, reliable and open source: + +openpyxl +The recommended package for reading and writing Excel 2010 files (ie: .xlsx) + +Download | Documentation | Bitbucket + +xlsxwriter +An alternative package for writing data, formatting information and, in particular, charts in the Excel 2010 format (ie: .xlsx) + +Download | Documentation | GitHub + +pyxlsb +This package allows you to read Excel files in the xlsb format. + +Download | GitHub + +pylightxl +This package allows you to read xlsx and xlsm files and write xlsx files. + +Download | Documentation | GitHub + +xlrd +This package is for reading data and formatting information from older Excel files (ie: .xls) + +Download | Documentation | GitHub + +xlwt +This package is for writing data and formatting information to older Excel files (ie: .xls) + +Download | Documentation | Examples | GitHub + +xlutils +This package collects utilities that require both xlrd and xlwt, including the ability to copy and modify or filter existing excel files. + +NB: In general, these use cases are now covered by openpyxl! + +Download | Documentation | GitHub + +Writing Excel Add-Ins +The following products can be used to write Excel add-ins in Python. Unlike the reader and writer packages, they require an installation of Microsoft Excel. + +PyXLL +PyXLL is a commercial product that enables writing Excel add-ins in Python with no VBA. Python functions can be exposed as worksheet functions (UDFs), macros, menus and ribbon tool bars. + +Homepage | Features | Documentation | Download + +xlwings +xlwings is an open-source library to automate Excel with Python instead of VBA and works on Windows and macOS: you can call Python from Excel and vice versa and write UDFs in Python (Windows only). xlwings PRO is a commercial add-on with additional functionality. + +Homepage | Documentation | GitHub | Download + diff --git a/appkits/qpyapp/src/qpynotes/topics/excel/excel-one-page.ipynb b/appkits/qpyapp/src/qpynotes/topics/excel/excel-one-page.ipynb new file mode 100644 index 0000000..2a48ef2 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/excel/excel-one-page.ipynb @@ -0,0 +1,112 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Excel One Page in Python\n", + " \n", + "Excel Handling:\n", + "- Read/Write\n", + "- To Models\n", + "- Excel Templates\n", + "\n", + "- Tools:\n", + " * pandas\n", + " * xlwings" + ] + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-10-22T09:28:47.724911Z", + "start_time": "2024-10-22T09:28:46.525870Z" + } + }, + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "\n", + "df_csv = pd.read_csv('user.csv')\n", + "print(df_csv)\n", + "\n", + "df_execl = pd.read_excel('user.xlsx')\n", + "print(df_execl)\n", + "print(df_csv.head())\n", + "print(df_execl.head())\n", + "print(df_execl.tail(0))\n", + "print(df_execl.tail(1))\n", + "print(df_execl.info())\n", + "## without index\n", + "print(df_execl.shape)\n", + "above_40=df_execl[df_execl['Age']>30]\n", + "print(above_40)\n", + "\n", + "## getting data from a range\n", + "range_subset_df = df_execl.iloc[1:2,0:1]\n", + "print(range_subset_df)" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Unnamed: 0 Name Age Sex\n", + "0 0 Braund, Mr. Owen Harris 22 male\n", + "1 1 Allen, Mr. William Henry 35 male\n", + "2 2 Bonnell, Miss. Elizabeth 58 female\n", + " Unnamed: 0 Name Age Sex\n", + "0 0 Braund, Mr. Owen Harris 22 male\n", + "1 1 Allen, Mr. William Henry 35 male\n", + "2 2 Bonnell, Miss. Elizabeth 58 female\n", + " Unnamed: 0 Name Age Sex\n", + "0 0 Braund, Mr. Owen Harris 22 male\n", + "1 1 Allen, Mr. William Henry 35 male\n", + "2 2 Bonnell, Miss. Elizabeth 58 female\n", + " Unnamed: 0 Name Age Sex\n", + "0 0 Braund, Mr. Owen Harris 22 male\n", + "1 1 Allen, Mr. William Henry 35 male\n", + "2 2 Bonnell, Miss. Elizabeth 58 female\n", + "Empty DataFrame\n", + "Columns: [Unnamed: 0, Name, Age, Sex]\n", + "Index: []\n", + " Unnamed: 0 Name Age Sex\n", + "2 2 Bonnell, Miss. Elizabeth 58 female\n", + "\n", + "RangeIndex: 3 entries, 0 to 2\n", + "Data columns (total 4 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Unnamed: 0 3 non-null int64 \n", + " 1 Name 3 non-null object\n", + " 2 Age 3 non-null int64 \n", + " 3 Sex 3 non-null object\n", + "dtypes: int64(2), object(2)\n", + "memory usage: 228.0+ bytes\n", + "None\n", + "(3, 4)\n", + " Unnamed: 0 Name Age Sex\n", + "1 1 Allen, Mr. William Henry 35 male\n", + "2 2 Bonnell, Miss. Elizabeth 58 female\n", + " Unnamed: 0\n", + "1 1\n" + ] + } + ], + "execution_count": 1 + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/excel/user.csv b/appkits/qpyapp/src/qpynotes/topics/excel/user.csv new file mode 100644 index 0000000..bedd2a1 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/excel/user.csv @@ -0,0 +1,4 @@ +,Name,Age,Sex +0,"Braund, Mr. Owen Harris",22,male +1,"Allen, Mr. William Henry",35,male +2,"Bonnell, Miss. Elizabeth",58,female diff --git a/appkits/qpyapp/src/qpynotes/topics/excel/user.xlsx b/appkits/qpyapp/src/qpynotes/topics/excel/user.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..f0633d3bf9771813fb1f4d3a37e164332511f4e8 GIT binary patch literal 9179 zcmaJ{Wmp``(#D#28?WT9b@ARb$=!iwg%T8+D^ zj#+@y0n}SiS~!?7;Kj$ob@cJ8G}>l=5s9IGm4-@s%z(aUge!U#bwZHODOHsYbB6w! z{i6vLR8{ozlEBv;2I0WjYq8hXc*C2dW#0}!?=uu%q)9Zl?)Dq*mTLsN&2V-Z)qdvO z;>jwPty3!?|2hzOcnNRE3$u^!K1Z@?2JPdu5mlDTP5txOOz58c9_pX4yI~|XDn7ve z<^gt$zr$_}axi_wJt9Wr5qF6P+{upx?b9%6HDY9Z8nQ4kCCHo;1Z*iVdn-^afspx2 zP`ZfrsA)N<(J^4zH9M)>%0;!1NA}@>7V70G}JIv z#(hL8e_YZozdM%cj3~vnNcBG=k|yX^f5$aR|L*fLA#E~Zni#LW`gV-g#kln+{I^Ed zZOZuRE0~N}U)koMyg1QEp3zJ!cB#G>^yl={1mcH3PcdTZ(~Iu~Ep+kmc#j6)c@skyVI;GHVUO0=FcmTSl zIf6m9kND?C%PR)3pa&gL-v#GgjH=Kg6BG@z z&(hs?v#%H`ls!L>P3&`M&vV=bWC-&ml}az^v>#^~1dwY>@;HR1e(Vd=2nh%n4&RvF z%JU31&`qI(sUZ2WQ|o4`^{R5e7tb~?4px6ZUPtJppUgmzBH4V?ukCCbvn1V%VD;b} z{|(0--I`v&KFPse`ruc2E*CG=(CuJSs_?8fMB<$Qa*EdarFD%>#XQnST>m}hKtJH> zYV#}F{JX%j-vTZm2Wv+QQ&aHM$ONsoz^?J&pmkz&{iVYCYp2A`My5V`is6hn z>Hx3L4GUHyHM1aI+p=0fkB?Ax62Grknj4K&X;Biscvzc zXkSuHv?4W=Pcss0Q{M(VDURau)FtZ+$N&eKeX6%tV-*+AaM%FXN1rqf*Hn~~>S(mZ7w>u3K=?BD zVDSaz8ipGQV+^avyxFbUaKS=l{`NV%ofM}@9eo!&LphES2(vW{n*fw*KxA1ojWO9) z&)UOu?NMZi1XC({Ute7FS@s0bjN;(Fb?s zA|&!PW&vc&qRNL)I+>ecyvViSpTqKhtyQ6;a1l6k&)OxWoD^u^q#AOtt5l z%h)bCdd>_*Pts?CxMP?cWeDM$BqxH)yE2xIHp!v!tg_(qobikdhI7xkc=aZSLAdequ25EzC1jC%iZI`6Fy_F%URozw3?)EpOokxPV+vIjrr!P z|7-V*TNT4hskFSy;fH?W;<#S&Ubc@yspyI|$lpn-3ifJj0((G%g1DEh(7L(9y=%G% z^Tc+@v)_B(ZG_ngjbHwch5dM#J}hjog{iISlf(4%6loC%2LT~K_&curDfUbF*J|C< zQUuL%VYi}vcOiQSH8eGZ@J{c(e@-otC+q?SlUODvXsTujk4k$H&aC=Cb~YF$LN@NP z*f0!3HG(s!b%INvuW`<$WGe6nWJlo$Cnti%0dGC;7gs5q&Sv~WK8gV-*X?JE^-A4C zx&%qbxGg+ff_};plEfhO8h>?_n^{PcI+&TfIne7)rKiLYDHlvgt=kKfp-PQ^cWQ_~ zFu+gF`c=Lzq}=Z{hFT94Ddc>J`ef0B8C3_zxl%X&Ao5W*@Uu>|ctV@?ApqGR%7=V)oAG zf?L2@t*J%TQPq<9kxtuQY^rgv!J=bt=#MLc1(7>{BZyqmy)9-P-cuq_B&&b z7ykI}SIFqK;5^EJ-l{sjI$?uKIK)!HEPA2v1p0wj?4-c=N--Ao5?{-}V=uwLCQy0FkS{M*4 zdQM~d*@zjM%vr`W=bKx;W=UH~?w1zG+Dh)izS0&yy^ZFVM=H4O$S<~=1fnAunW<^Q zMwDl*IVTB7j_pU!sqH=m_R>O@$V+TMy+=QHL&!9+e|uS z%%ND7W55LYrCZv7!2;5XFEF=)aDAxko%9v5N-loSJ-hm;H`EmDuJIluDbN8{lK0Il z2_F5LQeaHfwHIWBe<3kClN~Yg7`mEWhRq$aL&5!QS|x{^c4wg?@h}7;(oHlHEcuO6 zg52o`(N78cdI^-Wh{+-JAq-dy=OILxT;rVOg%{3ff#^GVDLJNXOA0+1H|b`>w8QcW ztcz&`F$c|D@ORroz0~Zq>yw6K!zSn7Bp9dF_uMP_XFbB+ZG}pts(-71O2Vn}(?~fl zqwCey_aDeq%2RDiHIAsK#lpg_B3=fXlj$ zvE`3qj&inxiHIexYR{3@8p|t*t!o14IhZ^!^rbtD!`aHP zchcD=x3ImEMio1VdRnB1yT@~a-rIF0`(|m2xNaqbm5Rw0dgdDWpK0$IL<)lNLo)VO z5ds4B_bKKGcC#^cd`zPzbobuRN2-R zny$86>9#ML7n2Iq*Wy;ARLivE4P8~p^~^*j3Mr1XKFF{fomad?=4UtdNSE&UtaH3# zlM}J`_2e#fGx;dI*>NxDfUfp~!Pd2ZUXg90diQhiZ7CnOP0?bDrR{{eDgKOq>E0D| zeqlPV*xAf}VrvyUilV?~PxNX4QaL_K>W(r#$s4Blpbr%JAhg<_#^w;Mr?;7)U^@b$ zgrHtuW0&B7f`j-|hkEUu*?nPCqSA9dx1`g(CHU;slE_7&8nKJEv$?~#W0iRC&7IU> zXrXd6ex)-?i>|a~yCA2QgH&*W{qsqn39VNTz1O@TChwn zDQZWa6?G!^`9P{(T|prdd&8cKNQ6%RR2;*bR)<_qSvP;8w;<#Uud`qZAy4BluMynE zy4-?XP3(HU`=2Wqd~HT%-W@9D-X?esbcS*a7}E31iqpL>5a!DCQb9R9gKs6Z zcAArJzLrIQC~WgQN@ExhBwaefj9LAo5kk}9bC*f^J$z0)nXP@3M9V;x5r;8s zEG`iVhx!10XND=pEPDjQrlU?!8!y5qRgExA+7nX~;!05TBw}U(){y97xNb#N6FPVk zzRWCIkvW>jpC;+GR*jn<$4-MOuWA%mssJug15W`5V`q_is3YD4?5JE=10;q8BN|O# zqJ3+l{w%|bs#tSPi;-4|2C%~Ir+BRknLs9UybNP}6u9c{Alt}tNkaN|QIB?A!-@W5 zrm&7`rKN#zZAQkeOml=)hN+Vn!)n7Q3_RWGd0%qxEf{EIg}ANDjcwNOS~wO$a=p^7 z8Ph63lpm_{`J7aw?ZX#y%p)u1@~_CfIx4$Iq4(~-rr0@xXL+&jb9 z%Ba3d-D!8o!3zu=3{G$cKmYPZHYxhHI-tI0Ed`G%VkYHpLLexn)|Z_GZQ9oCF|7$K z6j#=WC+~tF%5^IyfBj*Pxqlm!tiWcd?Xd)}r>Ucwbp|LwQI&DFb?J3wWRdWX_zhFI|_HMh^20-r1l{G+pF%<0un z%BU}CK7knqfZ2#LI>7b`b+U6ZXQeJXgM0iHf0^57VkjaC&{4c!6S+9{m1qcpLlC+$ zV~3=7B41fV2p}UOge*TIWJTTf$2EnfnBpP61SV@-PNH0j79YDbWrEr0S~X{OYu~yi zE+b%60$ysMZ0tp@fW+3pG#B#VW+6uWvjTDA-V4M%!6gM5r+MnRv&dYc>iFSZA88v@w}TQR?24o> zhHV0h3K(MUILlPMtjC4ypu&JvEAzeDPMe|xvA`NFf^0#!VE*}bM0s^OLEO=4OibKk zx;dUXmW&Sha?~;W{Y{&s9y@E%BG$EVw>lh$P6vBgq+~`s>{nt*2?Oc@92)2}c|{0C zn;Q18(2Q|q2C*h9>LHwpg;9MQ1x>mvRb)@Rs7%bD;O*lT@f zZuBJxq6BH#an&8*{9JW`K7R>ijCh{mgkWcHHcO_r-a%vVMK+lrk$CZL)KjLs7~Uf* zHD8fMKl;!jSUP9IOezaqB_`!I>GoL&ra(xj0wEgJ8jX}7aJcM8ZafXykJ@-Lvf%?A zxFl)J)g2lnkcr()0(BSIwdZ8IF-Zyq`|S!{b(2Ow4zBXF<1?y=Lxtvxr;ee9UR zbUf_39=h^`?h*mo6*vps+fP8B9@q&?i8)P=J-THoml}xolM7$O);s8VM+6+V^?0_w zOf6w>LdE&e)RCxGZsX{L1rLBLCf?<#AMrGx6(ch2z4BgaflkS)cCNa9mWsD!##C{t zAOOLYJrBRK;NK;N--Vv0{B8 zL&6272|?Z=Yr40)N0-}*Mo@m(%)x>{Hm1#W(sci*FN>JuCSThuw<@v5IE-^Bc4acoPO(eyL&<1%9rYSIF%Hc zVDxO4&le)_^|BFj5S1jM z4tT;2=UM;>aTqxf6UxoE?rwK1ipqg#-x}@Aobj=D!4I&{P4K!Iqi$ zYvvZ)l##u%iRas2godbH?y$nL+3Cdr-Q$-dl{w8xoM1Z2o{V&wJqeC26%O5ntL?CS zMNCW#D^P`*|NSh+2qC-TPMlx*Xbv$Lg%cV-}4r zEU*9lA^@$YjT@F_KP>=+x@?JisUhh*tM;~Pv552hoXM+LA2?Af*I8)8Nng@j@@^Wq zx2F|Rp%1*r2Z$}mxtxi!zd6_gtxFcRFDSvsat=1}o-PsFi~NMi4lV98@JZXZomgN7v~( zv%-Fr$kQK4Lg0HI;&6D~PznMI_ae=3+XKf-{6gn9#V=kpD@}$}QqP*Bn1E{}@3*sS zcN9Opp7~bj)DhZ<>?(uPR7FOhik<4J|6=eZ(JS=phh5&^{-l{svann1=}m5 z>fYe$1HM!r6q4FUm=YCLb;}f>Vk|thCM@B!nMum|qPds_pHqr!Lrd=_$>NK$vLPo} zZ*+1xb8@g57fgUDfBp~bj$SdV60#_yN}|_k(dc)SnEDc=LZA4U(_085{l$T-r z71k&1k9bttXjZ-=W60M~xX^ZVKg;0#yo_Y(#qZx=X5v)?u)b{D1CFkNF5l(X7Jz7r z>7#{fgUkwCV^^s^y-&`{f3gYs-c2jzn3pD6r|}cqo1Mb{|CRBF0wKg32UDA;1#b^- z=cfCIXNwO-Z{$B^m>(reV!p|Av7q-H_#L2cw8*>QU`&Hw0Dj1uc=;sB-49b^#c1ud zG>a%RjyJ%+PrlknUGy|*B%CMHXU&Uj@^e!569)A;wwsz8 zIX1cp@ZaE%n_;Gm*7H;uW((${i?tltR#Otr;Nz6Y=Mgfd@aJjt7zqg{FNx;GJd~AItv~WB(1#^}{Uuy$2W@9^fQ+xIToS-(r8?aDSj{)yaa=bKu|X zKjLLS8o?_0LBA(+s>B1rnBlF35xlHUYHdc}N3Be7qAp5CK``#I_Ocv76s`f1dd`EEk?H2+!QmCPXF)!(~|Oh>@>@$1BF2H%temI|U^_ zDRP|b_^Ul#w2dq;9)9zs{rZ!5RB)v2X#Nn7P#;K^MN+8-0Vyp^&VqV zN!)+}6f1Vn1$9ejjt;x3ong44!Ln%~@KbeunCLX8bBn7B;xWaSlKv#?$UR$wf!MFJp5l?=S zrsKDZtbk-FKZYb4l=G?rjIa#3qB}5~wShdE`Iwt!msFCqQMrit+tnE5=+j@HdaP3V ziD>Wxace%MgrbKh0HRe}z&k!FKtvq%4bJadJ}*uDkFo=tH(c6k_9L=FwMAHQS(}k$ zx$2G`h`fXqf{I$zBfp=H6($H1Aj@K?4cB}Uj`yV`r$!Y@zc-O3U3R!+&aSyOT7inK zO=L$SNYL7lyX?2K5r;WT2YitFA=is8LTdvN!#R4#js8KY zKUIIq0{^8>^l&==rT!-;{J&oMk?#E69$y*^^B?l_@pb>*CI3WehUjkr>ghzEMzTjc zzfpoD{+rr=#kHs7JWa~}8pr#AVEwlg?db?lD~NxMfb~G str:\n", + " return \"prefix-\" + content + \"-\" + str(more_content)\n", + "\n", + "\n", + "env.globals[\"prefix_str\"] = prefix_str\n", + "template_complex = env.get_template(\"examples_more.txt\")\n", + "print(template_complex.render(var=\"test\",persons=person_objects,cars=cars))\n", + "\n", + "## with debug\n", + "template_debug = env.get_template(\"examples_debug.txt\")\n", + "print(template_debug.render(var=\"test\",persons=person_objects,cars=cars))\n" + ], + "id": "b02e9f1fe998748d", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "simple text\n", + "simple test\n", + "\n", + "Andrej 34\n", + "Mark 17\n", + "Thomas 44\n", + "Lucy 14\n", + "Robert 23\n", + "Dragomir 54\n", + "\n", + "simple text\n", + "simple test\n", + "\n", + "Andrej 34\n", + "Mark 17\n", + "Thomas 44\n", + "Lucy 14\n", + "Robert 23\n", + "Dragomir 54\n", + "\n", + "simple text\n", + "simple test\n", + "\n", + "name1 12\n", + " name1 12\n", + "name2 14\n", + " name2 14\n", + "name3 23\n", + " name3 23\n", + "name4 54\n", + " name4 54\n", + "\n", + "\n", + "conditions:\n", + "\n", + " name1\n", + " \n", + " name2\n", + " \n", + " \n", + " \n", + "\n", + "sum examples:\n", + "\n", + "The sum of car prices is 105900\n", + "The sum of car prices is 105900\n", + "\n", + "\n", + "global_variable:\n", + "test: prefix-test-105900\n", + "name1 12\n", + "name2 14\n", + "name3 23\n", + "name4 54\n", + "\n", + "\n", + "conditions:\n", + "\n", + " name1\n", + " \n", + " name2\n", + " \n", + " \n", + " \n", + "\n", + "sum examples:\n", + "\n", + "The sum of car prices is 105900\n", + "The sum of car prices is 105900\n", + "\n", + "\n", + "global_variable:\n", + "test: prefix-test-105900\n", + "\n", + "{'context': {'cars': [{...}, {...}, {...}, {...}],\n", + " 'cycler': ,\n", + " 'dict': ,\n", + " 'joiner': ,\n", + " 'lipsum': ,\n", + " 'namespace': ,\n", + " 'persons': [<__main__.Person object at 0x1053aa010>,\n", + " <__main__.Person object at 0x1057c78d0>,\n", + " <__main__.Person object at 0x1057c4f50>,\n", + " <__main__.Person object at 0x10507add0>],\n", + " 'prefix_str': ,\n", + " 'range': ,\n", + " 'sum_price': 105900,\n", + " 'var': 'test'},\n", + " 'filters': ['abs', 'attr', 'batch', 'capitalize', 'center', 'count', 'd',\n", + " 'default', 'dictsort', 'e', 'escape', 'filesizeformat', 'first',\n", + " 'float', 'forceescape', 'format', 'groupby', 'indent', 'int',\n", + " 'items', 'join', 'last', 'length', 'list', 'lower', 'map', 'max',\n", + " 'min', 'pprint', 'random', 'reject', 'rejectattr', 'replace',\n", + " 'reverse', 'round', 'safe', 'select', 'selectattr', 'slice',\n", + " 'sort', 'string', 'striptags', 'sum', 'title', 'tojson', 'trim',\n", + " 'truncate', 'unique', 'upper', 'urlencode', 'urlize', 'wordcount',\n", + " 'wordwrap', 'xmlattr'],\n", + " 'tests': ['!=', '<', '<=', '==', '>', '>=', 'boolean', 'callable', 'defined',\n", + " 'divisibleby', 'eq', 'equalto', 'escaped', 'even', 'false', 'filter',\n", + " 'float', 'ge', 'greaterthan', 'gt', 'in', 'integer', 'iterable',\n", + " 'le', 'lessthan', 'lower', 'lt', 'mapping', 'ne', 'none', 'number',\n", + " 'odd', 'sameas', 'sequence', 'string', 'test', 'true', 'undefined',\n", + " 'upper']}\n" + ] + } + ], + "execution_count": 22 + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/json-one-page.ipynb b/appkits/qpyapp/src/qpynotes/topics/json-one-page.ipynb new file mode 100644 index 0000000..efdf3e1 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/json-one-page.ipynb @@ -0,0 +1,223 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "# Revisited JSON - One Page\n", + "\n", + "## 1. What is JSON?\n", + "\n", + "> JSON(JavaScript Object Notation)是一种轻量级的数据交换格式,它使用人类可读的文本格式来存储和传输数据对象。 JSON 数据以键值对的形式组织,键是字符串,值可以是字符串、数字、布尔值、数组或其他 JSON 对象\n", + "\n", + "### 1.1 JSON Examples\n", + "\n", + "- key:value \n", + "\n", + "```json\n", + "{ \"name\": \"Kimi\", \"age\": 1 }\n", + "```\n", + "\n", + "- 数组\n", + "\n", + "```json\n", + "[\"apple\", \"banana\", \"cherry\"]\n", + "```\n", + "\n", + "- 字符串,数字,布尔值\n", + "\n", + "```json\n", + "\"Hello, World!\"\n", + "```\n", + "\n", + "```json\n", + "4.2\n", + "```\n", + "\n", + "```json\n", + "true\n", + "```\n", + "\n", + "- 复杂对象\n", + "\n", + "```json\n", + "{\n", + " \"key\": \"v1\",\n", + " \"key2\": \"v2\",\n", + " \"k_list\": [\"test\",\"t2\"],\n", + " \"k_obj\": {\"k1\": \"v1\",\"k2\": \"v2\"},\n", + " \"k_bool\": true,\n", + " \"k_num\": 4.3\n", + "}\n", + "\n", + "```\n", + "\n", + "## Code examples to read json\n", + "\n", + "- json string to python object\n", + "- python object to json string" + ], + "id": "ce89096401fbc00b" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-07-08T05:24:58.120088Z", + "start_time": "2024-07-08T05:24:58.109428Z" + } + }, + "cell_type": "code", + "source": [ + "import json\n", + "## string to python object\n", + "print(json.loads(\"{\\\"title\\\":\\\"Hello World\\\"}\"))\n", + "\n", + "json_str=\"\"\"\n", + "{\n", + " \"key\": \"v1\",\n", + " \"key2\": \"v2\",\n", + " \"k_list\": [\"test\",\"t2\"],\n", + " \"k_obj\": {\"k1\": \"v1\",\"k2\": \"v2\"},\n", + " \"k_bool\": true,\n", + " \"k_num\": 4.3\n", + "}\n", + "\"\"\"\n", + "to_py_obj = json.loads(json_str)\n", + "print(to_py_obj)\n", + "print(type(to_py_obj))\n", + "## access python object\n", + "print(to_py_obj[\"key\"])\n", + "print(to_py_obj[\"k_list\"])\n", + "print(to_py_obj[\"k_bool\"])\n", + "print(to_py_obj[\"k_num\"])\n", + "print(type(to_py_obj[\"k_obj\"]))\n", + "\n", + "## python object to json string \n", + "result = json.dumps(\"Hello World\") # to string\n", + "print(result)\n", + "print(json.dumps(4.3))\n", + "print(json.dumps(\"true\"))\n", + "print(json.dumps(True))\n", + "\n", + "## read " + ], + "id": "4feae4c24f2754ef", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'title': 'Hello World'}\n", + "{'key': 'v1', 'key2': 'v2', 'k_list': ['test', 't2'], 'k_obj': {'k1': 'v1', 'k2': 'v2'}, 'k_bool': True, 'k_num': 4.3}\n", + "\n", + "v1\n", + "['test', 't2']\n", + "True\n", + "4.3\n", + "\n", + "\"Hello World\"\n", + "4.3\n", + "\"true\"\n", + "true\n" + ] + } + ], + "execution_count": 9 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## 2. JSON->Python Pydantic Model\n", + "\n", + "- Use Pydantic directly" + ], + "id": "11517fc120d16f0b" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-07-08T05:37:50.397962Z", + "start_time": "2024-07-08T05:37:50.387075Z" + } + }, + "cell_type": "code", + "source": [ + "import pydantic\n", + "\n", + "json_str_for_obj=\"\"\"\n", + "{\n", + " \"key\": \"v1\",\n", + " \"key2\": \"v2\",\n", + " \"k_list\": [\"test\",\"t2\"],\n", + " \"k_obj\": {\"k1\": \"v1\",\"k2\": \"v2\"},\n", + " \"k_bool\": true,\n", + " \"k_num\": 4.3\n", + "}\n", + "\"\"\"\n", + "dict_obj = {\n", + " \"key\": \"v1\",\n", + " \"key2\": \"v2\",\n", + " \"k_list\": [\"test\",\"t2\"],\n", + " \"k_obj\": {\"k1\": \"v1\",\"k2\": \"v2\"},\n", + " \"k_bool\": True,\n", + " \"k_num\": 4.3\n", + "}\n", + "\n", + "class DemoModel(pydantic.BaseModel):\n", + " key:str\n", + " key2:str\n", + " k_list:list\n", + " k_obj:dict\n", + " k_bool:bool\n", + " k_num: float\n", + "result= DemoModel.parse_raw(json_str_for_obj)\n", + "print(result)\n", + "print(result.k_obj)\n", + "print(result.k_list)\n", + "print(result.k_bool)\n", + "print(result.k_num)\n", + "\n", + "print(DemoModel.parse_obj(dict_obj))\n", + "\n" + ], + "id": "51175a7dc45381ba", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "key='v1' key2='v2' k_list=['test', 't2'] k_obj={'k1': 'v1', 'k2': 'v2'} k_bool=True k_num=4.3\n", + "{'k1': 'v1', 'k2': 'v2'}\n", + "['test', 't2']\n", + "True\n", + "4.3\n", + "key='v1' key2='v2' k_list=['test', 't2'] k_obj={'k1': 'v1', 'k2': 'v2'} k_bool=True k_num=4.3\n" + ] + } + ], + "execution_count": 18 + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/LICENSE b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/LICENSE new file mode 100644 index 0000000..5178ac3 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2018 zotroneneis + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/README.md b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/README.md new file mode 100644 index 0000000..b7144c0 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/README.md @@ -0,0 +1,44 @@ +# Machine learning basics + +This repository contains implementations of basic machine learning algorithms in plain Python (Python Version 3.6+). All algorithms are implemented from scratch without using additional machine learning libraries. The intention of these notebooks is to provide a basic understanding of the algorithms and their underlying structure, *not* to provide the most efficient implementations. + +- [Bayesian Linear Regression](bayesian_linear_regression.ipynb) +- [Decision tree for classification](decision_tree_classification.ipynb) +- [Decision tree for regression](decision_tree_regression.ipynb) +- [k-nearest-neighbor](k_nearest_neighbour.ipynb) +- [k-Means clustering](kmeans.ipynb) +- [Linear Regression](linear_regression.ipynb) +- [Logistic Regression](logistic_regression.ipynb) +- [Multinomial Logistic Regression](softmax_regression.ipynb) +- [Perceptron](perceptron.ipynb) +- [Principal Component Analysis]([principal_component_analysis.ipynb) +- [Simple neural network with one hidden layer](simple_neural_net.ipynb) +- [Softmax regression](softmax_regression.ipynb) +- [Support vector machines](support_vector_machines.ipynb) + + +![alt text](figures/decision_tree_predictions.png) + + +## Data preprocessing + +After several requests I started preparing notebooks on how to preprocess datasets for machine learning. Within the next months I will add one notebook for each kind of dataset (text, images, ...). As before, the intention of these notebooks is to provide a basic understanding of the preprocessing steps, *not* to provide the most efficient implementations. + +- [Image preprocessing](image_preprocessing.ipynb) +- [Preprocessing a numerical/categorical dataset](data_preprocessing.ipynb) + +![alt text](figures/image_preprocessing.png) + + +## Live demo +Run the notebooks online without having to clone the repository or install jupyter: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/zotroneneis/machine_learning_basics/HEAD). + +Note: this does not work for the `data_preprocessing.ipynb` and `image_preprocessing.ipynb` notebooks because they require downloading a dataset first. + +## Feedback + +If you have a favorite algorithm that should be included or spot a mistake in one of the notebooks, please let me know by creating a new issue. + +## License + +See the LICENSE file for license rights and limitations (MIT). diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/bayesian_linear_regression.ipynb b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/bayesian_linear_regression.ipynb new file mode 100644 index 0000000..8e74ce2 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/bayesian_linear_regression.ipynb @@ -0,0 +1,883 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Bayesian linear regression\n", + "\n", + "* [1. What is Bayesian linear regression?](#intro-blr)\n", + "* [2. Recap linear regression](#recap-lr)\n", + "* [3. Fundamental concepts](#fundamental-concepts)\n", + "* [4. Linear regression from a probabilistic perspective](#prob-lr)\n", + "* [5. Linear regression with basis functions](#lr-with-basis-functions)\n", + " * [5.1 Example basis functions](#example-basis-function)\n", + " * [5.2 The design matrix](#design-matrix)\n", + "* [6. Bayesian Linear Regression](#blr)\n", + " * [6.1 Step 1: Probabilistic Model](#prob-model)\n", + " * [6.2 Generating a dataset](#dataset)\n", + " * [6.3 Step 2: Posterior over the parameters](#param-posterior)\n", + " * [6.4 Visualizing the parameter posterior](#param-posterior-visualization)\n", + " * [6.5 Step 3: Posterior predictive distribution](#predictive-posterior)\n", + " * [6.6 Visualizing the predictive posterior](#predictive-posterior-visualization)\n", + "\n", + " \n", + "* [Sources and further reading](#sources)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Link to interactive demo\n", + "\n", + "[Click here](https://mybinder.org/v2/gh/zotroneneis/machine_learning_basics/HEAD?filepath=bayesian_linear_regression.ipynb) to run the notebook online (using Binder) without installing jupyter or downloading the code.\n", + "\n", + "\n", + "Sometimes, the GitHub version of the Jupyter notebook does not display the math formulas correctly. Please refer to the Binder version in case you think something might be off or missing.\n", + "\n", + "I also wrote a [blog post containing the contents of the notebook](https://alpopkes.com/posts/machine_learning/bayesian_linear_regression)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. What is Bayesian linear regression (BLR)? \n", + "Bayesian linear regression is the *Bayesian* interpretation of linear regression. What does that mean? To answer this question we first have to understand the Bayesian approach. In most of the algorithms we have looked at so far we computed *point estimates* of our parameters. For example, in linear regression we chose values for the weights and bias that minimized our mean squared error cost function. In the Bayesian approach we don't work with exact values but with *probabilities*. This allows us to model the *uncertainty* in our parameter estimates. Why is this important?\n", + "\n", + "In nearly all real-world situations, our data and knowledge about the world is incomplete, indirect and noisy. Hence, uncertainty must be a fundamental part of our decision-making process. This is exactly what the Bayesian approach is about. It provides a formal and consistent way to reason in the presence of uncertainty. Bayesian methods have been around for a long time and are widely-used in many areas of science (e.g. astronomy). Although Bayesian methods have been applied to machine learning problems too, they are usually less well known to beginners. The major reason is that they require a good understanding of probability theory.\n", + "\n", + "In the following notebook we will work our way from linear regression to Bayesian linear regression, including the most important theoretical knowledge and code examples." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Recap linear regression \n", + "\n", + "- In linear regression, we want to find a function $f$ that maps inputs $x \\in \\mathbb{R}^D$ to corresponding function values $f(x) \\in \\mathbb{R}$. \n", + "- We are given an input dataset $D = \\big \\{ \\mathbf{x}_n, y_n \\big \\}_{n=1}^N$, where $y_n$ is a noisy observation value: $y_n = f(x_n) + \\epsilon$, with $\\epsilon$ being an i.i.d. random variable that describes measurement/observation noise\n", + "- Our goal is to infer the underlying function $f$ that generated the data such that we can predict function values at new input locations\n", + "- In linear regression, we model the underlying function $f$ using a linear combination of the input features:\n", + "\n", + "$$\n", + "\\begin{split}\n", + "y &= \\theta_0 + \\theta_1 x_1 + \\theta_2 x_2 + ... + \\theta_d x_d \\\\\n", + "&= \\boldsymbol{x}^T \\boldsymbol{\\theta}\n", + "\\end{split}\n", + "$$\n", + " \n", + " \n", + "- For more details take a look at the [notebook on linear regression](https://github.com/zotroneneis/machine_learning_basics/blob/master/linear_regression.ipynb)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Fundamental concepts \n", + "- One fundamental tool in Bayesian learning is [Bayes' theorem](https://en.wikipedia.org/wiki/Bayes%27_theorem)\n", + "- Bayes' theorem looks as follows:\n", + "$$\n", + "\\begin{equation}\n", + "p(\\boldsymbol{\\theta} | \\mathbf{x}, y) = \\frac{p(y | \\boldsymbol{x}, \\boldsymbol{\\theta})p(\\boldsymbol{\\theta})}{p(y|\\boldsymbol{x})}\n", + "\\end{equation}\n", + "$$\n", + "- $p(y | \\boldsymbol{x}, \\boldsymbol{\\theta})$ is the *likelihood*. It describes the probability of the target values given the data and parameters.\n", + "- $p(\\boldsymbol{\\theta})$ is the *prior*. It describes our initial knowledge about which parameter values are likely and unlikely.\n", + "- $p(y|\\boldsymbol{x})$ is the *evidence*. It describes the probability of the target values given the data.\n", + "- $p(\\boldsymbol{\\theta} | \\boldsymbol{x}, y)$ is the *posterior*. It describes the probability of the parameters given the observed data and targets.\n", + "
\n", + "- Another important tool you need to know about is the [Gaussian distribution](https://en.wikipedia.org/wiki/Normal_distribution). If you are not familiar with it I suggest you pause for a minute and understand its main properties before reading on.\n", + "\n", + "In general, Bayesian inference works as follows:\n", + "1. We start with some prior belief about a hypothesis $p(h)$\n", + "2. We observe some data, representating new evidence $e$\n", + "3. We use Bayes' theorem to update our belief given the new evidence: $p(h|e) = \\frac{p(e |h)p(h)}{p(e)}$ \n", + "\n", + "For more information take a look at the [Wikipedia article on Bayesian inference](https://en.wikipedia.org/wiki/Bayesian_inference)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Linear regression from a probabilistic perspective \n", + "\n", + "In order to pave the way for Bayesian linear regression we will take a probabilistic spin on linear regression. Let's start by explicitly modelling the observation noise $\\epsilon$. For simplicity, we assume that $\\epsilon$ is normally distributed with mean $0$ and some known variance $\\sigma^2$: $\\epsilon \\sim \\mathcal{N}(0, \\sigma^2)$.\n", + "\n", + "As mentioned in the beginning, a simple linear regression model assumes that the target function $f(x)$ is given by a linear combination of the input features:\n", + "$$\n", + "\\begin{split}\n", + "y = f(\\boldsymbol{x}) + \\epsilon \\\\\n", + " = \\boldsymbol{x}^T \\boldsymbol{\\theta} + \\epsilon\n", + "\\end{split}\n", + "$$\n", + "\n", + "This corresponds to the following likelihood function: \n", + "$$p(y | \\boldsymbol{x}, \\boldsymbol{\\theta}) = \\mathcal{N}(\\boldsymbol{x}^T \\boldsymbol{\\theta}, \\sigma^2)$$\n", + "\n", + "Our goal is to find the parameters $\\boldsymbol{\\theta} = \\{\\theta_1, ..., \\theta_D\\}$ that model the given data best.\n", + "In standard linear regression we can find the best parameters using a least-squares, maximum likelihood (ML) or maximum a posteriori (MAP) approach. If you want to know more about these solutions take a look at the [notebook on linear regression](https://github.com/zotroneneis/machine_learning_basics/blob/master/linear_regression.ipynb) or at chapter 9.2 of the book [Mathematics for Machine Learning](https://mml-book.com)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5. Linear regression with basis functions \n", + "The simple linear regression model above is linear not only with respect to the parameters $\\boldsymbol{\\theta}$ but also with respect to the inputs $\\boldsymbol{x}$. When $\\boldsymbol{x}$ is not a vector but a single value (that is, the dataset is one-dimensional) the model $y_i = x_i \\cdot \\theta$ describes straight lines with $\\theta$ being the slope of the line.\n", + "\n", + "The plot below shows example lines produced with the model $y = x \\cdot \\theta$, using different values for the slope $\\theta$ and intercept 0. \n", + "\n", + "\"Drawing\"\n", + "\n", + "Having a model which is linear both with respect to the parameters and inputs limits the functions it can learn significantly. We can make our model more powerful by making it *nonlinear* with respect to the inputs. After all, *linear regression* refers to models which are linear in the *parameters*, not necessarily in the *inputs* (linear in the parameters means that the model describes a function by a linear combination of input features).\n", + "\n", + "Making the model nonlinear with respect to the inputs is easy. We can adapt it by using a nonlinear transformation of the input features $\\phi(\\boldsymbol{x})$. With this adaptation our model looks as follows: \n", + "$$\n", + "\\begin{split}\n", + "y &= \\boldsymbol{\\phi}^T(\\boldsymbol{x}) \\boldsymbol{\\theta} + \\epsilon \\\\\n", + "&= \\sum_{k=0}^{K-1} \\theta_k \\phi_k(\\boldsymbol{x}) + \\epsilon\n", + "\\end{split}\n", + "$$\n", + "\n", + "Where $\\boldsymbol{\\phi}: \\mathbf{R}^D \\rightarrow \\mathbf{R}^K$ is a (non)linear transformation of the inputs $\\boldsymbol{x}$ and $\\phi_k: \\mathbf{R}^D \\rightarrow \\mathbf{R}$ is the $k-$th component of the *feature vector* $\\boldsymbol{\\phi}$:\n", + "\n", + "$$\n", + "\\boldsymbol{\\phi}(\\boldsymbol{x})=\\left[\\begin{array}{c}\n", + "\\phi_{0}(\\boldsymbol{x}) \\\\\n", + "\\phi_{1}(\\boldsymbol{x}) \\\\\n", + "\\vdots \\\\\n", + "\\phi_{K-1}(\\boldsymbol{x})\n", + "\\end{array}\n", + "\\right]\n", + "\\in \\mathbb{R}^{K}\n", + "$$\n", + "\n", + "\n", + "With our new nonlinear transformation the likelihood function is given by\n", + "\n", + "$$\n", + "p(y | \\boldsymbol{x}, \\boldsymbol{\\theta}) = \\mathcal{N}(\\boldsymbol{\\phi}^T(\\boldsymbol{x}) \\boldsymbol{\\theta},\\, \\sigma^2)\n", + "$$" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.1 Example basis functions \n", + "\n", + "#### Linear regression\n", + "The easiest example for a basis function (for one-dimensional data) would be simple linear regression, that is, no non-linear transformation at all. In this case we would choose $\\phi_0(x) = 1$ and $\\phi_i(x) = x$. This would result in the following vector $\\boldsymbol{\\phi}(x)$:\n", + "\n", + "$$\n", + "\\boldsymbol{\\phi}(x)=\n", + "\\left[\n", + "\\begin{array}{c}\n", + "\\phi_{0}(x) \\\\\n", + "\\phi_{1}(x) \\\\\n", + "\\vdots \\\\\n", + "\\phi_{K-1}(x)\n", + "\\end{array}\n", + "\\right] = \n", + "\\left[\n", + "\\begin{array}{c}\n", + "1 \\\\\n", + "x \\\\\n", + "\\vdots \\\\\n", + "x\n", + "\\end{array}\n", + "\\right]\n", + "\\in \\mathbb{R}^{K}\n", + "$$\n", + "\n", + "#### Polynomial regression\n", + "Another common choice of basis function for the one-dimensional case is polynomial regression. For this we would set $\\phi_i(x) = x^i$ for $i=0, ..., K-1$. The corresponding feature vector $\\boldsymbol{\\phi}(x)$ would look as follows:\n", + "\n", + "$$\n", + "\\boldsymbol{\\phi}(x)=\n", + "\\left[\n", + "\\begin{array}{c}\n", + "\\phi_{0}(x) \\\\\n", + "\\phi_{1}(x) \\\\\n", + "\\vdots \\\\\n", + "\\phi_{K-1}(x)\n", + "\\end{array}\n", + "\\right] = \n", + "\\left[\n", + "\\begin{array}{c}\n", + "1 \\\\\n", + "x \\\\\n", + "x^2 \\\\\n", + "x^3 \\\\\n", + "\\vdots \\\\\n", + "x^{K-1}\n", + "\\end{array}\n", + "\\right]\n", + "\\in \\mathbb{R}^{K}\n", + "$$\n", + "\n", + "With this transformation we can lift our original one-dimensional input into a $K$-dimensional feature space. Our function $f$ can be any polynomial with degree $\\le K-1$: $f(x) = \\sum_{k=0}^{K-1} \\theta_k x^k$" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.2 The design matrix \n", + "To make it easier to work with the transformations $\\boldsymbol{\\phi}(\\boldsymbol{x})$ for the different input vectors $\\boldsymbol{x}$ we typically create a so called *design matrix* (also called *feature matrix*). Given our dataset $D = \\big \\{ \\mathbf{x}_n, y_n \\big \\}_{n=1}^N$ we define the design matrix as follows:\n", + "\n", + "$$\n", + "\\boldsymbol{\\Phi}:=\\left[\\begin{array}{c}\n", + "\\boldsymbol{\\phi}^{\\top}\\left(\\boldsymbol{x}_{1}\\right) \\\\\n", + "\\vdots \\\\\n", + "\\boldsymbol{\\phi}^{\\top}\\left(\\boldsymbol{x}_{N}\\right)\n", + "\\end{array}\\right]=\\left[\\begin{array}{ccc}\n", + "\\phi_{0}\\left(\\boldsymbol{x}_{1}\\right) & \\cdots & \\phi_{K-1}\\left(\\boldsymbol{x}_{1}\\right) \\\\\n", + "\\phi_{0}\\left(\\boldsymbol{x}_{2}\\right) & \\cdots & \\phi_{K-1}\\left(\\boldsymbol{x}_{2}\\right) \\\\\n", + "\\vdots & & \\vdots \\\\\n", + "\\phi_{0}\\left(\\boldsymbol{x}_{N}\\right) & \\cdots & \\phi_{K-1}\\left(\\boldsymbol{x}_{N}\\right)\n", + "\\end{array}\\right] \\in \\mathbb{R}^{N \\times K}\n", + "$$\n", + "\n", + "Note that the design matrix is of shape $N \\times K$. $N$ is the number of input examples and $K$ is the output dimension of the non-linear transformation $\\boldsymbol{\\phi}(\\boldsymbol{x})$." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6. Bayesian linear regression \n", + "What changes when we consider a Bayesian interpretation of linear regression? Our data stays the same as before: $D = \\big \\{ \\mathbf{x}_n, y_n \\big \\}_{n=1}^N$. Given the data $D$ we can define the set of all inputs as $\\mathcal{X} := \\{\\boldsymbol{x}_1, ..., \\boldsymbol{x}_n\\}$ and the set of all targets as $\\mathcal{Y} := \\{y_1, ..., y_n \\}$.\n", + "\n", + "In simple linear regression we compute point estimates of our parameters (e.g. using a maximum likelihood approach) and use these estimates to make predictions. Different to this, Bayesian linear regression estimates *distributions* over the parameters and predictions. This allows us to model the uncertainty in our predictions.\n", + "\n", + "To perform Bayesian linear regression we follow three steps:\n", + "1. We set up a probabilistic model that describes our assumptions how the data and parameters are generated\n", + "2. We perform inference for the parameters $\\boldsymbol{\\theta}$, that is, we compute the posterior probability distribution over the parameters\n", + "3. With this posterior we can perform inference for new, unseen inputs $y_*$. In this step we don't compute point estimates of the outputs. Instead, we compute the parameters of the posterior distribution over the outputs." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.1 Step 1: Probabilistic model \n", + "\n", + "We start by setting up a probabilistic model that describes our assumptions how the data and parameters are generated. For this, we place a prior $p(\\boldsymbol{\\theta})$ over our parameters which encodes what parameter values are plausible (before we have seen any data). Example: With a single parameter $\\theta$, a Gaussian prior $p(\\theta) = \\mathcal{N}(0, 1)$ says that parameter values are normally distributed with mean 0 and standard deviation 1. In other words: the parameter values are most likely to fall into the interval [−2,2] which is two standard deviations around the mean value.\n", + "\n", + "To keep things simple we will assume a Gaussian prior over the parameters: $p(\\boldsymbol{\\theta}) = \\mathcal{N}(\\boldsymbol{m}_0, \\boldsymbol{S}_0)$. Let's further assume that the likelihood function is Gaussian, too: $p(y \\mid \\boldsymbol{x}, \\boldsymbol{\\theta})=\\mathcal{N}\\left(y \\mid \\boldsymbol{\\phi}^{\\top}(\\boldsymbol{x}) \\boldsymbol{\\theta}, \\sigma^{2}\\right)$.\n", + "\n", + "Note: When considering the set of all targets $\\mathcal{Y} := \\{y_1, ..., y_n \\}$, the likelihood function becomes a multivariate Gaussian distribution: $p(\\mathcal{Y} \\mid \\mathcal{X}, \\boldsymbol{\\theta})=\\mathcal{N}\\left(\\boldsymbol{y} \\mid \\boldsymbol{\\Phi} \\boldsymbol{\\theta}, \\sigma^{2} \\boldsymbol{I}\\right)$\n", + "\n", + "The nice thing about choosing a Gaussian distribution for our prior is that the posterior distributions will be Gaussian, too (keyword [conjugate prior](https://en.wikipedia.org/wiki/Conjugate_prior))! \n", + "\n", + "We will start our `BayesianLinearRegression` class with the knowledge we have so far - our probabilistic model. As mentioned in the beginning we assume that the variance $\\sigma^2$ of the noise $\\epsilon$ is known. Furthermore, to allow plotting the data later on we will assume that it's two dimensional (d=2)." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from scipy.stats import multivariate_normal\n", + "import numpy as np\n", + "\n", + "class BayesianLinearRegression:\n", + " \"\"\" Bayesian linear regression\n", + " \n", + " Args:\n", + " prior_mean: Mean values of the prior distribution (m_0)\n", + " prior_cov: Covariance matrix of the prior distribution (S_0)\n", + " noise_var: Variance of the noise distribution\n", + " \"\"\"\n", + " \n", + " def __init__(self, prior_mean: np.ndarray, prior_cov: np.ndarray, noise_var: float):\n", + " self.prior_mean = prior_mean[:, np.newaxis] # column vector of shape (1, d)\n", + " self.prior_cov = prior_cov # matrix of shape (d, d)\n", + " # We initalize the prior distribution over the parameters using the given mean and covariance matrix\n", + " # In the formulas above this corresponds to m_0 (prior_mean) and S_0 (prior_cov)\n", + " self.prior = multivariate_normal(prior_mean, prior_cov)\n", + " \n", + " # We also know the variance of the noise\n", + " self.noise_var = noise_var # single float value\n", + " self.noise_precision = 1 / noise_var\n", + " \n", + " # Before performing any inference the parameter posterior equals the parameter prior\n", + " self.param_posterior = self.prior\n", + " # Accordingly, the posterior mean and covariance equal the prior mean and variance\n", + " self.post_mean = self.prior_mean # corresponds to m_N in formulas\n", + " self.post_cov = self.prior_cov # corresponds to S_N in formulas\n", + " \n", + " \n", + "# Let's make sure that we can initialize our model\n", + "prior_mean = np.array([0, 0])\n", + "prior_cov = np.array([[0.5, 0], [0, 0.5]])\n", + "noise_var = 0.2\n", + "blr = BayesianLinearRegression(prior_mean, prior_cov, noise_var)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.2 Generating a dataset \n", + "\n", + "Before going any further we need a dataset to test our implementation. Remember that we assume that our targets were generated by a function of the form $y = \\boldsymbol{\\phi}^T(\\boldsymbol{x}) \\boldsymbol{\\theta} + \\epsilon$ where $\\epsilon$ is normally distributed with mean $0$ and some known variance $\\sigma^2$: $\\epsilon \\sim \\mathcal{N}(0, \\sigma^2)$.\n", + "\n", + "To keep things simple we will work with one-dimensional data and simple linear regression (that is, no non-linear transformation of the inputs). Consequently, our data generating function will be of the form\n", + "$$ y = \\theta_0 + \\theta_1 \\, x + \\epsilon $$\n", + "\n", + "Note that we added a parameter $\\theta_0$ which corresponds to the intercept of the linear function. Until know we assumed $\\theta_0 = 0$. As mentioned earlier, $\\theta_1$ represents the slope of the linear function." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "\n", + "def compute_function_labels(slope: float, intercept: float, noise_std_dev: float, data: np.ndarray) -> np.ndarray:\n", + " \"\"\"\n", + " Compute target values given function parameters and data.\n", + " \n", + " Args:\n", + " slope: slope of the function (theta_1)\n", + " intercept: intercept of the function (theta_0)\n", + " data: input feature values (x)\n", + " noise_std_dev: standard deviation of noise distribution (sigma)\n", + " \n", + " Returns:\n", + " target values, either true or corrupted with noise\n", + " \"\"\"\n", + " n_samples = len(data)\n", + " if noise_std_dev == 0: # Real function\n", + " return slope * data + intercept\n", + " else: # Noise corrupted\n", + " return slope * data + intercept + np.random.normal(0, noise_std_dev, n_samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Set random seed to ensure reproducibility\n", + "seed = 42\n", + "np.random.seed(seed)\n", + "\n", + "# Generate true values and noise corrupted targets\n", + "n_datapoints = 1000\n", + "intercept = -0.7\n", + "slope = 0.9\n", + "noise_std_dev = 0.5\n", + "noise_var = noise_std_dev**2\n", + "lower_bound = -1.5\n", + "upper_bound = 1.5\n", + "\n", + "# Generate dataset\n", + "features = np.random.uniform(lower_bound, upper_bound, n_datapoints)\n", + "labels = compute_function_labels(slope, intercept, 0., features)\n", + "noise_corrupted_labels = compute_function_labels(slope, intercept, noise_std_dev, features)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the dataset\n", + "plt.figure(figsize=(10,7))\n", + "plt.plot(features, labels, color='r', label=\"True values\")\n", + "plt.scatter(features, noise_corrupted_labels, label=\"Noise corrupted values\")\n", + "plt.xlabel(\"Features\")\n", + "plt.ylabel(\"Labels\")\n", + "plt.title(\"Real function along with noisy targets\")\n", + "plt.legend();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.3 Step 2: Posterior over the parameters \n", + "\n", + "We finished setting up our probabilistic model. Next, we want to use this model and our dataset $\\mathcal{X, Y}$ to estimate the parameter posterior $p(\\boldsymbol{\\theta} | \\mathcal{X, Y})$. Keep in mind that we don't compute point estimates of the parameters. Instead, we determine the mean and variance of the (Gaussian) posterior distribution and use this entire distribution when making predictions.\n", + "\n", + "We can estimate the parameter posterior using Bayes theorem:\n", + "$$\n", + "p(\\boldsymbol{\\theta} \\mid \\mathcal{X}, \\mathcal{Y})=\\frac{p(\\mathcal{Y} \\mid \\mathcal{X}, \\boldsymbol{\\theta}) p(\\boldsymbol{\\theta})}{p(\\mathcal{Y} \\mid \\mathcal{X})}\n", + "$$\n", + "\n", + "- $p(\\mathcal{Y} \\mid \\mathcal{X}, \\boldsymbol{\\theta})$ is the likelihood function, $p(\\mathcal{Y} \\mid \\mathcal{X}, \\boldsymbol{\\theta})=\\mathcal{N}\\left(\\boldsymbol{y} \\mid \\boldsymbol{\\Phi} \\boldsymbol{\\theta}, \\sigma^{2} \\boldsymbol{I}\\right)$\n", + "- $p(\\boldsymbol{\\theta})$ is the prior distribution, $p(\\boldsymbol{\\theta})=\\mathcal{N}\\left(\\boldsymbol{\\theta} \\mid \\boldsymbol{m}_{0}, \\boldsymbol{S}_{0}\\right)$\n", + "- $p(\\mathcal{Y} \\mid \\mathcal{X})=\\int p(\\mathcal{Y} \\mid \\mathcal{X}, \\boldsymbol{\\theta}) p(\\boldsymbol{\\theta}) \\mathrm{d} \\boldsymbol{\\theta}$ is the evidence which ensures that the posterior is normalized (that is, that it integrates to 1).\n", + "\n", + "The parameter posterior can be estimated in closed form (for proof see theorem 9.1 in the book [Mathematics for Machine Learning](https://mml-book.com)):\n", + "$$\n", + "\\begin{aligned}\n", + "p(\\boldsymbol{\\theta} \\mid \\mathcal{X}, \\mathcal{Y}) &=\\mathcal{N}\\left(\\boldsymbol{\\theta} \\mid \\boldsymbol{m}_{N}, \\boldsymbol{S}_{N}\\right) \\\\\n", + "\\boldsymbol{S}_{N} &=\\left(\\boldsymbol{S}_{0}^{-1}+\\sigma^{-2} \\boldsymbol{\\Phi}^{\\top} \\boldsymbol{\\Phi}\\right)^{-1} \\\\\n", + "\\boldsymbol{m}_{N} &=\\boldsymbol{S}_{N}\\left(\\boldsymbol{S}_{0}^{-1} \\boldsymbol{m}_{0}+\\sigma^{-2} \\boldsymbol{\\Phi}^{\\top} \\boldsymbol{y}\\right)\n", + "\\end{aligned}\n", + "$$\n", + "\n", + "Coming back to our `BayesLinearRegression` class we need to add a method which allows us to update the posterior distribution given a dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "from scipy.stats import multivariate_normal\n", + "from scipy.stats import norm as univariate_normal\n", + "import numpy as np\n", + "\n", + "class BayesianLinearRegression:\n", + " \"\"\" Bayesian linear regression\n", + " \n", + " Args:\n", + " prior_mean: Mean values of the prior distribution (m_0)\n", + " prior_cov: Covariance matrix of the prior distribution (S_0)\n", + " noise_var: Variance of the noise distribution\n", + " \"\"\"\n", + " \n", + " def __init__(self, prior_mean: np.ndarray, prior_cov: np.ndarray, noise_var: float):\n", + " self.prior_mean = prior_mean[:, np.newaxis] # column vector of shape (1, d)\n", + " self.prior_cov = prior_cov # matrix of shape (d, d)\n", + " # We initalize the prior distribution over the parameters using the given mean and covariance matrix\n", + " # In the formulas above this corresponds to m_0 (prior_mean) and S_0 (prior_cov)\n", + " self.prior = multivariate_normal(prior_mean, prior_cov)\n", + " \n", + " # We also know the variance of the noise\n", + " self.noise_var = noise_var # single float value\n", + " self.noise_precision = 1 / noise_var\n", + " \n", + " # Before performing any inference the parameter posterior equals the parameter prior\n", + " self.param_posterior = self.prior\n", + " # Accordingly, the posterior mean and covariance equal the prior mean and variance\n", + " self.post_mean = self.prior_mean # corresponds to m_N in formulas\n", + " self.post_cov = self.prior_cov # corresponds to S_N in formulas\n", + " \n", + " def update_posterior(self, features: np.ndarray, targets: np.ndarray):\n", + " \"\"\"\n", + " Update the posterior distribution given new features and targets\n", + " \n", + " Args:\n", + " features: numpy array of features\n", + " targets: numpy array of targets\n", + " \"\"\"\n", + " # Reshape targets to allow correct matrix multiplication\n", + " # Input shape is (N,) but we need (N, 1)\n", + " targets = targets[:, np.newaxis]\n", + " \n", + " # Compute the design matrix, shape (N, 2)\n", + " design_matrix = self.compute_design_matrix(features)\n", + "\n", + " # Update the covariance matrix, shape (2, 2)\n", + " design_matrix_dot_product = design_matrix.T.dot(design_matrix)\n", + " inv_prior_cov = np.linalg.inv(self.prior_cov)\n", + " self.post_cov = np.linalg.inv(inv_prior_cov + self.noise_precision * design_matrix_dot_product)\n", + " \n", + " # Update the mean, shape (2, 1)\n", + " self.post_mean = self.post_cov.dot( \n", + " inv_prior_cov.dot(self.prior_mean) + \n", + " self.noise_precision * design_matrix.T.dot(targets))\n", + "\n", + " \n", + " # Update the posterior distribution\n", + " self.param_posterior = multivariate_normal(self.post_mean.flatten(), self.post_cov)\n", + " \n", + " def compute_design_matrix(self, features: np.ndarray) -> np.ndarray:\n", + " \"\"\"\n", + " Compute the design matrix. To keep things simple we use simple linear\n", + " regression and add the value phi_0 = 1 to our input data.\n", + " \n", + " Args:\n", + " features: numpy array of features\n", + " Returns:\n", + " design_matrix: numpy array of transformed features\n", + " \n", + " >>> compute_design_matrix(np.array([2, 3]))\n", + " np.array([[1., 2.], [1., 3.])\n", + " \"\"\"\n", + " n_samples = len(features)\n", + " phi_0 = np.ones(n_samples)\n", + " design_matrix = np.stack((phi_0, features), axis=1)\n", + " return design_matrix\n", + " \n", + " \n", + " def predict(self, features: np.ndarray):\n", + " \"\"\"\n", + " Compute predictive posterior given new datapoint\n", + " \n", + " Args:\n", + " features: 1d numpy array of features\n", + " Returns:\n", + " pred_posterior: predictive posterior distribution\n", + " \"\"\"\n", + " design_matrix = self.compute_design_matrix(features)\n", + " \n", + " pred_mean = design_matrix.dot(self.post_mean)\n", + " pred_cov = design_matrix.dot(self.post_cov.dot(design_matrix.T)) + self.noise_var\n", + " \n", + " pred_posterior = univariate_normal(loc=pred_mean.flatten(), scale=pred_cov**0.5)\n", + " return pred_posterior" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.4 Visualizing the parameter posterior \n", + "\n", + "To ensure that our implementation is correct we can visualize how the posterior over the parameters changes as the model sees more data. We will visualize the distribution using a [contour plot](https://en.wikipedia.org/wiki/Contour_line) - a method for visualizing three-dimensional functions. In our case we want to visualize the density of our bi-variate Gaussian for each point (that is, each slope/intercept combination). The plot below shows an example which illustrates how the lines and colours of a contour plot correspond to a Gaussian distribution:\n", + "\n", + "\n", + "\n", + "As we can see, the density is highest in the yellow regions decreasing when moving further out into the green and blue parts. This should give you a better understanding of contour plots.\n", + "\n", + "To analyze our Bayesian linear regression class we will start by initializing a new model. We can visualize its prior distribution over the parameters *before* the model has seen any real data." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Initialize BLR model\n", + "prior_mean = np.array([0, 0])\n", + "prior_cov = 1/2 * np.identity(2)\n", + "blr = BayesianLinearRegression(prior_mean, prior_cov, noise_var)\n", + "\n", + "def plot_param_posterior(lower_bound, upper_bound, blr, title):\n", + " fig = plt.figure()\n", + " mesh_features, mesh_labels = np.mgrid[lower_bound:upper_bound:.01, lower_bound:upper_bound:.01]\n", + " pos = np.dstack((mesh_features, mesh_labels))\n", + " plt.contourf(mesh_features, mesh_labels, blr.param_posterior.pdf(pos), levels=15)\n", + " plt.scatter(intercept, slope, color='red', label=\"True parameter values\")\n", + " plt.title(title)\n", + " plt.xlabel(\"Intercept\")\n", + " plt.ylabel(\"Slope\")\n", + " plt.legend();\n", + " \n", + "# Visualize parameter prior distribution\n", + "plot_param_posterior(lower_bound, upper_bound, blr, title=\"Prior parameter distribution\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The plot above illustrates both the prior parameter distribution and the true parameter values that we want to find. If our model works correctly, the posterior distribution should become more narrow and move closer to the true parameter values as the model sees more datapoints. This can be visualized with contour plots, too! Below we update the posterior distribution iteratively as the model sees more and more data. The contour plots for each step show how the parameter posterior develops and converges close to the true values in the end." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEWCAYAAAB42tAoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO2dd9wcVdm/r2+eVB4ghYRACEUQFRFEQYr0IlKCiEqzAKIir6IoqESRImBHf4j6CrwqTWmCQIQgIIKIgBCQEghoDFFCQkggCUlIJef3x8yGeTZbppfd+/p8ns+zu3N25szs7Ln2vs+ZM3LOYRiGYRjN6Fd0BQzDMIxyY6IwDMMwWmKiMAzDMFpiojAMwzBaYqIwDMMwWmKiMAzDMFpiosgQScdJui+nbW0myUnqn8f2Og1J0yXt5z/+hqRfprjuRZI29x9fJum8FNd9kaQz0lpfUtI+dmkhaS9JM4quRz2Sdpf0bNH1aIeJIoDf0L657rWzJf0mh23nsp2qUYQAnXPfcc59ul05SfdIalvOObe2c25a0no1+uHhnDvROXdu0nWnRdhjFwdJ50p6UtJKSWdnsQ1/O7n9wHPO/dU599YwZYuUnYnCiIQ8KnPeFBlhWXSXOlOBrwG3Fl2RbqMyX/gyUDO6H17P9dMVHwssX0/SBEmvSnoI2KLu/T+R9Ly//BFJu/uvHwB8AzjST1M87r8+VNKvJM2S9IKk8yT1+Mt6JJ3v12MacHCbuk+X9HVJT0uaJ+lSSYP9ZcMl3SJpjr/sFkljA++9R9K3Jf0NeA3YXNInJU2RtFDSNEmfbXCcvibpJb/+H5R0kKR/SnpF0jcC5ftJGi/p35JelnSdpBH+4nv9//P9Y7OL/57j/e3Pk3S7pE0D63OSPi/pX8C/mhyPT0j6j7+90+uWrY7uJA2W9Bu/3HxJD0saLenbwO7Az/x6/azZthtEqiMl3ekfu7/U6t4oeqpFLZK2Ai4CdvG3N99f3ieVJekzkqb6x3iCpDF1x+VESf/yj9vPJanJ8alfb59fs5JO88/JhZKelbRvg2NX259jJf3XP1dPD6xjiKTL/bpM8c+Xpr+YnXOXO+duAxY2K1O37sv8dT8NvKduee18W+h/Jw7zX292nA+W9A95393nFYhoAvt5gqSZ/vl+amD5IEkX+Mtm+o8HNTmu0yV9RdITkhZIutY/B3uB24Axfr0WSRojaUdJk/x6zZb043bHJhbOOfvz/wAHvLnutbOB3/iP9wJWAj8GBgF7AouBt/rLrwGuA3qBdwAvAPcF1vVxYD2gP3Aq8CIwuH47gfI3ARf761sfeAj4rL/sROAZYGNgBHC3X//+TfZtOjA5UP5vwHn+svWADwNrAesAvwNuCrz3HuC/wNZ+3QfgiWkLQP5xeA14d91xOtMv+xlgDnCVv/6tgaXA5n75LwEPAmP943oxcLW/bLP6/QI+iPfrciu/Pt8E7q/7HO/093NIg2PxdmARsIe/vR/79d2vwWf+WeAP/rHpAbYH1g0cl083OIf6bJvAeQVchtfQ1bb9E/xzpMm+rt4GcByB8ymwvtrnuA8wF3i3v+6fAvfW1e0WYBiwif+ZHNDkfFm93sBnOsN//FbgeWBMoN5bNDh2tf35P2AI8E5gGbCVv/x7wF+A4f5n/0RtG22+p78Bzm5T5nvAX/3PYWO8c39GYPnhwBi8H8tH4n2PN2xxnPcCtvHLbwvMBj5Yt59X431Xt/GPbe18Ogfv/F4fGAXcD5xbf1wD39OH/LqNAKYAJzYq67/2APAJ//HawM6ZtI1ZrLSqf4QXRW9g+XXAGXiNyArgbYFl36k/4erWPQ94Z/12/Oej/S/VkMBrRwN3+4//XDuB/Of7014UwfIHAf9uUnY7YF7g+T3AOW2O3U3AyYHjtATo8Z+v49dtp0D5RwJftCnAvoFlG/rHsj+NG8/bgE8FnvfDE9Wmgc9xnxZ1PRO4JvC8F1hOY1Ecj/fF3rbBeu6hsSj2afBaUBTBba8NvI7XmDXa19XboL0ofgX8oG7dK4DNAvXYre7cHd/kGK1eb+AzrYnizcBLwH7AgBbfl9r+jA0sfwg4yn88DXh/YNmnSU8U0whIEDih1bqBx4BDmx3nBuUvAP5f3X4Gv/s/AH7lP/43cFBg2fuB6fXHNfA9/Xjdei5qVNZ/7V7gW8DIdsctyZ+lnvryOt4v4CAD8L5sNeY55xYHnv8Hz/6j8Bq25+uWrUbSqX6IvcAPaYcCI5vUZVN/27P8lMd8vF/a6/vLx7TaVhPqy4/x67WWpIv9VMyreCffMPlprgbvRdKBkh70Uxzz8cQT3JeXnXOv+4+X+P9nB5YvwWvIavt6Y2A/p+B9FqOb7MemwE8C5V/Bi2w2albfOvocO//zfLlJ2SuB24Fr/LTBDyTVnyP1tNp2n+XOuUV49R/TvHhoxhA4D/x1v0zf4/Ji4PFrvPEZhMY5NxUvCjwbeEnSNcEUVwOabbP+HG533KLQ8vsh6RhJjwXOoXfQ/LuIpJ0k3S0vPbsAL6KvL9/w+0Xd51K3rBFRPqNPAW8BnpGXFh3XomxsTBR9+S/er4Mgb6LvhzzczxfW2ASYiRdqrsT7ZRhcBnjD4IDTgCOA4c65YcACvAYOvF8kQZ7HiyhGOueG+X/rOue29pfParatFtSXn+k/PhUvnbCTc25dvLQIgbr1qZ+fX70BOB8Y7e/LxLryUXgeODCwn8Occ4Odcy+w5nGplf9sXfkhzrn7G9W3AX2OnaS18NJva+CcW+Gc+5Zz7u3Ae4FxwDFtttFq29Rte228FMNMvPQHeGmuGhtEWO9MPInW1t2Lt18vtHlfIxa3qAfOuaucc7v523PA92NsYxZeyqnGxs0Kxlx3s+/ipnjpsJOA9fzzdzLNv4vgpU0nABs754bi9WPUn+/Nvl99Ppe6ZVFYo17OuX85547G+wH5feD6uvYpFUwUfbkW+KaksfI6WPcDDgGuryv3LUkD/cZ/HPA7/9fz74Gz/V/obweODbxnHTyRzAH6SzoTWDewfDawmfwRRc65WcAdwI8krevXZwtJe/rlrwO+6Nd1ODA+xP593i8/Aq/z/NpA3ZbgdRiPAM5qs56BeDnwOcBKSQfipb7ichHwbb3RqTtK0qH+sjnAKmDzuvJfl7S1X36opMMjbO96YJyk3SQNxMshN/wuSNpb0jZ+dPUqXnRZi5Rm19UrLAcFtn0u8Hfn3PPOuTl4jfrH5Q1WOJ6+AyJmA2P99zXiKuCTkrbzZf4df93TY9TxMb+eIyRtgBdBACDprZL28bexFO/ceb3JelpxHd7nOFzSRngNd1MkDZA3AKMf3ndocF3U22zdY4EvBJb14jW6c/z1fhIvoqjR6DivA7zinFsqaUfgow22eYb/3d8a+CRvfL+uxmtXRkkaiZf6jDMUfjawnqShtRckfVzSKOfcKmC+/3Kcz6IlJoq+nIOXj74Pr//gB8DHnHOTA2Ve9JfNBH6Ll/d/xl92El6Y+CJejvfSwPtux8ut/xMvQllK31D1d/7/lyU96j8+Bq9Rftrf5vV4+XvwfhHdDjwOPIonqXZchSefaf5fbVTLBXidjXPxOt3+2GolzrmFwBfxvozz8L40E0Jsvxk/8d9/h6SFfh128rf1GvBt4G9+mmBn59yNeL+ervFTZZOBA8NuzDn3FPB5vOMxy9+HZqNtNsA77q/ipcT+whtf8p8AH5E3subCCPt7FZ6MX8HrHP9YYNlngK/ipYy2xjsfa/wZeAp4UdLcBvt1F15/2Q3+fm0BHBWhXkGuxDu3puOdM9cGlg3C6yyei3eur4/3wyMq5+Ad9+eAP+Ed52Utyv8fnpSOBk73H3+iSdlv4X3PnvPrf2VtgXPuaeBHeB3Bs/E6n/8WeG+j4/w54Bz//DwT79yv5y94gyzuAs53zt3hv34eMAmvs/5JvO9r5Isu/XbmamCa/10YAxwAPCVpEd75eJRzbmnUdbdDfoeIEQJJe+F11I1tV7ZsSJqO1yn6p6LrYhiNkPQ/eA3dnm0LlwhJm+EJaYBzbmWxtckGiygMwygESRtK2tVPq74Vr6/sxqLrZayJXTlqGEZRDMQbyfcmvPz6NcD/FlojoyGWejIMwzBaYqknwzAMoyUdmXoaqMFuSL/I1xF1LwOKOw1c/2ajGzsfrUx9FGN4VnRkn6uRgFdXvTzXOTeq0bKOFMWQfmuzS+8hRVej9Gh0w3Mic1aOWrd9oS6i/5xXC9mumz2nkO0a5eT2hZc1nd2hI0VhtKYIQZgcmlM7NnkLQ6NHmSyMUFgfRZeRtyRWjlrXJBESO05GWbGIokvIUxDW4MUn7+jCogojDCaKLiAvSZRNEMtGDor8nkFzW80gkR8rR63bRxa96w7iI5/bmdGbDKNf43sNJcK9XmDHupEbzsHsaXP53ffuZPH8Je3f4GOi6GA6XRBxRJBknXlLJBhdfORzO/P27bZg0IBelIEoAFixon0Zo9I451hvxHocPh4uGx9+ejYTRYeShyTyFEQWUkhah7zEsXLUuozeZFi2kjC6AkkM6hnM6M2b3nqjISaKDqNTBFEGMbQjWMespaH+PdlLYsAAiyq6AElEPZVMFB1E1pLIUhBVEEMrcpFG/36wclU26zaMFpgoOoQsJZGVIKouh2bU9isTYWQtiyZRxbz58zjufz4OwNyX59CvXw8jho8A4HdX3MjAAc3upVR9/j7pQQYMGMC737l9btucMXMGJ37p09xyXctbw+SGiaLiVC2K6FQ5NCKzKKMAWQwfNpybr74VgJ9efAFrDenlU8d8ZvXylStX0r9/cc1Jltt/6JEHWWtIbyRRFH080qZz9qQLqVIU0U2CaMSykYNylcU6t97IyAu/T/8XZ7JygzHM/eJpLDz4sPS2D4w/66sMHTqUp595mq3ftjW9vb19BDLuiAO46IJfMnbMWG6eeBNXXnMZK1as4J3v2I6zxp9DT0/feb72Gbc7B+5/MH+f9CAAP/r2BWy68Wb8+d67+MUvf8aKlSsYNnQY55/3/xi53ih+evEFvDTnJV6YOYPhw4bz5ZO+ytfOOIUlS7xhn2ecdjbvfuf2/H3Sg/z04gtYb8RInvnn07xv7/fzlje/lSuuuYxlS5fy8x9dzCYbb8or817mrO98k5kverez/sapZzB6/Q245oar6Nevhwm33cQZXzuLzTfbYo1y22+3wxr1+dF3frJ63740/gscNu5D7Lnb3quP3d577MPWW23TsM5Bfj/heiZPeZIzT/sWAJ89+VMc/4nPsNMOO3PfA3/lpxdfwPLly9l47CZ89+wf0LtWL+df+H3+fO9d9PT0sNvOu3Pal+PcgPANTBQVJStJpCmIbpdDPamnpJrIYp1bb2T0t06j31Kv8Rkw6wVGf+s0gPCyCNmxPf0/z3HZL66kp6eHn158QcMy/35uKrfdcQtX/+p3DBgwgLO/ewZ/uO1mPjjuQ2uUXbt3Ha6/4iZuuuX3fOf8c7n4J79i++124LrLf48kfnfjtfzy8ksYf8rpADw1ZTJX/eo6Bg8ezJIlS7j0f69k0KBBTP/vc5zyjZP5/W+8IaDP/HMKE6+/k2FDh7LvB/bi8A8ewfVX3MTlV13KlddezulfOZNv//Acjv3o8ezwrvcwc9YLfOqk47jthjs56sMf7SPAU79xcsNy9fUJcvD+45h4x63sudveLF+xnAcevp+zv34uzrmmdW7HK/Ne4Re/+hmX/uJK1hqyFpdcdhGX/uZXfPzIY7jznjv44w1/QhKvLkx+8aaJomKYIN5g6YhsZp4d/Eq2F5+lKowGshh54fdXS6JGv6VLGHnh91OPKg7Y76A1IoN6HnjofiZPmcxHjvkgAEuXLWW9Ees1LDvu/d5knge//xC++2PvttIvzp7Fl8d/gTlzX2L5yhWMHbPx6vL77Lnv6kZ55coVnPODs3nm2afp19PD9P88t7rcNltvy/qj1gdgk7GbsOvOuwPwlje/dXUEc/9D9zP1uamr37No8SIWLV60Rh1blQvWJ8geu+7Feeefw/Lly7j3/nvZ4V3vYfDgwSxc+GrTOrfj8Sf/wdRpUzn6+MMBWLFiBdtt+y7W7l2bQQMHcfq549lrt73Za/d9Qq+zGSaKClF2SWQliKyEEGV7WcgjtXRUnSz6+ymRNYo1eb0pIaKKIUOGrH7c09OfVe6Neixb5u2bc47Dxn2IU7/wtfbb7DNu03t83g+/xXEf+xT77rkff5/0ID+75I2UzpDBa61+fNlVv2bkiJHcfM1EVq1axbbv3Wr1smBne79+/Rg4cODqx6+/7k25vmrVKq699IaGDX2QVuWC9QkyaNAgdtx+J/76wF+57Y5bOPiAD7Stc42e/v1ZtSpwXJf7xxXYdedd+fF3LlzjPddfcSMPPHQ/t95xC7+59kquuPi3LfepHTYpYEXIQhJpTdi3bOSgVCWxdERPn78ykFV9Ujtu/d/4Kq/cYEzDIs1eT4uNxozl6WeeArwUzIyZzwOwy47v5fa7buPlV+YCMH/BfF6Y9ULDddx2xy0ATLzzVt617bsAWLhoIaPXHw3ATbfc0HT7CxctZNTI9enXrx83T7yR1yNOS7Lbzrvxm+uuWP18yrNPA9C71tosfm1R23LtOHj/cfx+wvVMemwSu+2ye+g6b7ThRjzzzymsWrWKWS/O5ImnngBgu22249HHHuE/z08HYMmSJTz3n2ksfm0xCxctZM/d9uYbp57BM/8MV79WmCgqQFaSSEqagiibGFqRdl1TO46+LOZ+8TRWDR7SZ9GqwUOY+8XToq9zwIDQRd+/zwEsWDCfQ48+mKuv/y2bbfImAN68+ZZ86XOncvznj+WQIw/k+M8dw5y5LzVcx/IVyzn8mMO44upL+fqp3wTgpBNO5uTTTuKjnzqCYcNGNN3+Rw//ODfecgNHHPshpv/nOdYa0vjXfTNO/+pZTH76SQ458kAO+sj+XH2D9yt87z324c677+DQow9m0j8ealquHbvuvDuT/vEQ793xvasjnDB13n67HdhozFgOOfJAvn/Bd9n6bVsDMGL4enz37B9yyjdO5pAjD+SI4z7EtOnTWLx4MZ/90qc55MgD+cRnjuLrp3wz0nFoREfeM3toz0jXKTcuSlsSaQkiDaoghbCklZpqloo6/dv7MWaDTdqvwE9BpTrqKaertfcZtzvXX3nz6uszjOyYOWcG3zv8131eu33hZY8453ZoVN76KEpKGaOINATRSXIIUtuvpMJI3G/h91csPPiw1Duuje7FRFFCyhZFJBVEp8qhEWkIIy1ZpEZOc0D9+Za/Zr4NIx4mipLRSZLIUhBLh6c3Qd7geemnX5eO6ElVFm6Vwzlns8caiXHOEbXHwURRIsokibIIIk0hhN1GWuJIGl0EZTFr5quMWG8xgweGnGrcJhA0GuCcY9nrS5k9bW6k95koSkKakihCEGnJIQ8xRK1DUnEkjS4ArrvycY74BGw4Zl3UL9wx0uvpisLugld9gne4i4KJogRUWRJJBVEGMbSjVsckwogbXdSiisWLlnPpLx6OvN00771t99buXkwUBVMGSeQtiCrIoRHBeseVRpzoIvUJBQ0jInbBXYF0mySWDldlJVFPkn2Jc/zipgTTnMMrr3uwG+XDIoqCSOtLV3ZBZCmG5cPClx04P5s6LB2uWNFFGv0WhpEXJooCqJokihREFBnEXU9SicTtw4gqi7gpqJWj1k21r8LoPkwUOVOkJKogiLTEEHebSaQRJ7rISxaGkQQTRY50siTiCqIIMbQiqTTSGCFVZjR6lI1+6kKsMzsnqiKJqLOixunUXT7sjb8yk6SOUY5JVCnH6V9K+9a2RndhosiBKkkidNkEgqgaceudpSwMI08KTT1J+jUwDnjJOfeOBssF/AQ4CHgNOM4592i+tUxGGpIomyCikIUYlg8Pf8XxwHnp/Raq7UuUlFSUfoso/RXWV2HkSdF9FJcBPwOuaLL8QGBL/28n4Bf+/0rQzZJIQxBRhBB1HUkEsnxYdrLIEhv9ZMSl0NSTc+5e4JUWRQ4FrnAeDwLDJG2YT+2S0UmSiJJmipumWT581Rp/WZJ0O1H3M+zxiyLurO5R3g678K77KDqiaMdGwPOB5zP812bVF5R0AnACwGD15lK5ZpRdElEEEZa4cigDwXpEjTSiRheGUUXK3pndqKVqGMM75y5xzu3gnNthoAZnXK3mdJskov6yzitiiEucuoXd/yyiiqjY6CcjDmWPKGYAGweejwVmFlSXthQhibRTTVEEEZaySqEVtTqHjTDCRhZp91dYp7aRB2UXxQTgJEnX4HViL3DOrZF2KgNllkSaUUQRglg1bGWs9/Wbn/z0Xj58VeqyCIPNBWWUiaKHx14N7AWMlDQDOAsYAOCcuwiYiDc0dire8NhPFlPT1lRdElGiiIOfeIRT7prIhgvmMWvocH6870Hcuu32fcslEERcKYRdVxx5RIkuwsiiLKOgDCMshYrCOXd0m+UO+HxO1YlFN0iiFkUc/MQjnPeH6xiyYgUAGy2Yx3l/uA6AW7fdPpYg0hRD1O1FlUbY6CItWYSNKiz9ZGRN2TuzO56qSALglLsmrpZEjSErVvDlu2+NJIlVw1au/iuSOHWoYn9LPdahbUTFRJGApNFEmSXRaDTThgvmNSw7Zl77xHxZ5NCIqPUKI4swfTlhRG1TexhlwEQRk7wvOkpLEmEunmvWyM0aOrzh6zOHN28VyyqHRkSpa1qyqCp20V13UfZRT6Uk736JNCXRinYN24/3PYhz/3AdawXST68NGMD54w5co2wSOfQOXRL7vUEWLxgS632rhq0M1X8RZURUM9Lq2LZ+CiNLTBQRKaMk0ko1tVw+fBU37vkuXu9dxVduuY0x8+Yzc/gwzh93IBN2eGPUUxxBpCWGVuuNKo20ZGFXbhudgIkiZ6oqiRoTdti+jxhqRBFEVmIIu82w0ggri6yxayqMoin+W1Ah8uy8zkMSUQTRjLILohG1eoQRRhhZJI0q7LoKo+yYKEJikuhLWEGURQ6N6B26JDdZGEaVMVGEoGqSSDPV1IgwkkhLEGOGLmi5fOaCoYnWHza6SJqGKltfhd2bwoiCiaJiZCmJIgXRTghR3hdHHmGii3aySBJVtEs/hemnsJFPRlaYKNpQtmiiFUVKIqog4ooh6rqjSCMNWRhGJ2JnfAvKJolW0URWkkgzishSDu22GVYYYfstmtEqqihb+skwwmKiaIJJIr0ooghBNKtDGGG0k4VFFeBmzym6CkaO2DCNDOh0SfQOXRJKEmOGLiiFJIKErU8Ro7Wi3HrWMPKku38WNSGveWzSGgbbjGaSyDqKSCqHLdaZ27bMvxeOjL3+MUMXJB4t1SqqsPST0WmYKOrIK+WU9TDYtCWRlSDCSCHs+6LII0wqKml/hWF0CiaKFElznv8qSSKqIOLKIex6k0Qb9bSShfVVGN2CneUBkkQTafZLdKIkspJDq22FEUYaaahG2JXaRidhZ7JPmfolWlEWSYTtqN5inbm5SqJ+22Fotx9lnobEMPLARJECefVL5CWJdqOayi6IOPWI2wGf502Z0rzbnU3fYUTBUk/kl3JqR1kk0YywgigjW6wzN9W+iyTYyCejanS9KMqScor7a7EskogriK16Z8V635TFG0Z+TztZtOqvsBFQRjfT9aJIQpopp1Y0iybi3JO5aEnEFUOr9cSRRhWxmxcZRdHVfRRVTjnFueI6bUlE6YfYqndWapJIsu529U3zSvIwN36qIjZ9R/fRtaKoQsopzpQOaUmi3aimMgii0bbCEDdN1uxY5dmhbRhFYKmnGKSVcsqr8zqOJJoRRRBFsFXvrK5JRRlGXnRlRFGWlFMcyi6JPCOIVnVoR6t9KdtEhmGxmxYZWVGoKCQdIOlZSVMljW+wfC9JCyQ95v+dWUQ945BFNFFmSZRBEEHKVBfDqDqFpZ4k9QA/B94HzAAeljTBOfd0XdG/OufGpbbdHKKJvPslGpG3JOKwzeDnQ5V7cunGsdZvNMYutjOiUmQfxY7AVOfcNABJ1wCHAvWiMIh3vUQ9ZZBEWDk0e08UabTrryjTRXhVwUY8dSdFpp42AoKtxgz/tXp2kfS4pNskbd1sZZJOkDRJ0qTlbmnjMhWNJtJKOTUiriSipJq2Gfz86r+kRF2HpaAMIzlFRhSNWkVX9/xRYFPn3CJJBwE3AVs2Wplz7hLgEoChPSPr11NZSTQjzWslGtFOEmFIQwyt1mspKcPIhyIjihlA8Js+FpgZLOCce9U5t8h/PBEYIKmrcgVRrr5Oq1+izJLIaxtZjnyyeZ6MqlGkKB4GtpT0JkkDgaOACcECkjaQJP/xjnj1fTnqhqoaTRTRL5FUEmmlmNKkVb3LOolhPe2m7wg7NDZJR7b1T3QvhaWenHMrJZ0E3A70AL92zj0l6UR/+UXAR4D/kbQSWAIc5ZxbI63UTWTZL5GGJPJmm8HPlzYFFfXGRYPndfWpbZSYQq/M9tNJE+teuyjw+GfAz5Jso9OiiUZESTllIYmiI4gyy8IwOoGuvDK7LBSRcopK2SVhGEb2dLQoyh5NpEGjaCKtfgmThFHD+ie6G5sUMEOy7sDOsl8iD0lsM3DR6sdPLl878frSpNkNjBrRb362X6MydGQb3U3HiqIM0URaZJVyijviJ64kgmJotSyONKrST9FsaKx1ZBtlpqNTT0VSVAd2I6JeE9Aqmog1BcfARS0l0ah81Yk64skwykxnns0D4gdKnRZNpJ1yikJUQdS/Nw+izPVU5Xtm2/UTRhI6UxQFU6ZoohF5pJzSaOg7IbJISlr9E4aRBBNFgG6JJpqRVsqpmxr4KB3Z1j9hVBUTRY5kFU2k0YFtkniDKCOeGtFJ/ROWdjLARLGasl03ESWaaEQRt/PsBElUCRsWa+SFiSInytw3kUY0UbQkWg2NbXbzojw7suPMGNuuf8Iw8sJEEYEyRhNp9E0Y8UjjQrsy909Y2smoYaIgfNopLhZNVIeq9E9Y2snIExNFSmQ9p1MjLJrIh6zSTq2iCUs7GWWi60VR5SGxSemUaCLr/olGZD2/UxrYRXZGWnS9KLKmzENiy07eEwWWJe1kF9kZZcNEEYKipxIPi0bU0GAAABV0SURBVKWd+pLVaKdOv8jOogmjnq4WRdad2FGxtNMbhI0m0poxtizRRDusE9sogq4WRdZY2qnaFDEJoHViG2XERNEGSzvlTxrRRJ6d2M2iiaLSTtaJbaRN14qim9NOZaaIO901SjuVMZqwTmyjKEKJQtJbJN0labL/fFtJ38y2atWmDBfZVY0okihLNNEM68Q2OomwEcX/AV8HVgA4554AjsqqUmWhjGmnrGeKjUKav/6LkkTSaKJsQ2KtE9vIgrBn+VrOuYfqXqvsz11LO5WLtCQRlSgjnSyaMLqZsKKYK2kLwAFI+giQ3j0zO4xmaaesKLIjO2lUkWZUkvcssRZNGN1C2J9JnwcuAd4m6QXgOeBjmdWqAsRJO1n/xBvEEUSclFMzkkYTZRvpZBhZEkoUzrlpwH6SeoF+zrmF2VYrO8o2t1MnUGv0w1yAFzeCiJtyyvMq7DiUIZqwtJPRjlDfAknrAWcBuwFO0n3AOc65l7OsnFEtshra2k4SZenAtmjC6FTCJlmvAeYAHwY+4j++NunGJR0g6VlJUyWNb7Bcki70lz8h6d1Jt1k2kt6kqNOJK4lm5N2B3QqLJoyqEFYUI5xz5zrnnvP/zgMiZNzXRFIP8HPgQODtwNGS3l5X7EBgS//vBOAXSbaZB3l3ZGdBmiOLkpBEEmXpwLZowugEwp71d0s6SlI//+8I4NaE294RmOqcm+acW44XtRxaV+ZQ4Arn8SAwTFK0n5AB0uqfyLojO2ui/govgiwkESXllPVwWIsmjCoRVhSfBa4Clvt/1wCnSFooKe6ZuhEQnKZ0hv9a1DIASDpB0iRJk5a/3n0pmrQpKqp4cunGuUmiGc0kkdcMsYZRNsKOelong203ytHU/wQLU8Z70blL8IbwMnTwBhbvV5AwckpTEkV1YFs0YVSN0PG1pA8Ae/hP73HO3ZJw2zOAYMswFpgZo4yREU8u3Tj0vSmSbicMafVJQLYpp1aUYeI/k4QRlbCTAn4POBl42v872X8tCQ8DW0p6k6SBeHNHTagrMwE4xh/9tDOwwDlnV4SnQNh+iqxTUFlLooiUUx4d2HYVtpEnYX8+HQRs55xbBSDpcuAfwBpDWsPinFsp6STgdqAH+LVz7ilJJ/rLLwIm+tueCrwGfDLu9rrxQrt/LxyZyo2LsogsoggobUlEubDOUk6GESH1hDcc9hX/cbL7Rvo45ybiySD42kWBxw5v+pDS0GrEU9WGxk5ZvGHomWRrDXsSYcSJTvKQRDOiSsIwOpWwovgu8A9Jd+N1MO+BN+240WXUN/atxJEkbdUuNZamJNKapsOiCaNTCTvq6WpJ9wDvwRPFac65F7OsmBGemQuGxp5BNkpU0Ygs+jDKIIkyppwMoyhaiqLBlBkz/P9jJI1xzj2aTbWMRixeMCTyNB5h+imSyiItwnSwl1ESeWHRhFEU7SKKH+Fdt1BLvtf/bNon9RoZhVCkLMKOwCqrJMqecjKMpLQTxWnA87UhqZKOxZsYcDpwdqY1S5Gy3dEuC1qln8KOfspbFmkIArKXRCuqkHKyaMJISrtvxkXAMgBJe+B1al8OLMC/CtqoBmEvSMtjHqgpizcsnSRakUW/RBQs5WQUTbtvTY9zrjYk9kjgEufcDcANkh7LtmpGI+L0U0Sl1oinGV3EEVDcC+miDIGtkXe/hKWcjCrRVhSS+jvnVgL74k31Hfa9Rs60G/0U9QK8YOMeRxpxo5O4UQS0lkTV+iWSYtGEkRbtGvurgb9ImgssAf4KIOnNeOknIyP6ze+fyX2z416tnUdKKkx6rOqSiIKlnIyy0LKPwjn3beBU4DJgN/9K6dr7vpBt1bqDOB2orRrEMHMbRZ1AL2v+vXBk10jCUk5GFWmbPvJvGFT/2j+zqY6RBmEuwEtrHqgkhBVWO/nF6bhOWxJhsJSTUVWsn6HEZJV+qlFrqPMWRpSIJu0oAtIfBgvp9ktYyskoGyaKFBk8zzWdGHDg/HRvh9pu9FOUaT3yEEbUdFfcKALiSyLuCKey9EsYRlaYKCpMmrKAvo15GtKI0xcSpo8lb0lUpV/CogkjK0wUJWDgvH4sH76q4bKk6ae4EwY2a+TrBZJWx3hSQUC1JZEUk4SRJSaKihPmArxaIxx3htkgaY+YCnsHuk6XhKWcjDITvVfPyIRWjVm7aSfCXokc5bagWTNzwdDQUUS7VFPekghDnpKwaMLIGosoIjL4lddb3uWuFWl3aAcJO7VHmtFFVKKKKqsoApJJokyd1yYJIw9MFCnTauRTEsL0VUSZByovYcSJYpIIApKNbEpDEnYjIqPTMFGUiFad2pC+LKBvQ56WNOKmuMKk0DpJEhZNGFXBRJEzSdNPWciiRlF9GGkIAkwShpEVJoqS0S6qCEut8c16SvIkhO2ETxJFgEnCMJJio55i0K7haNfwtGu42jV8UW6+E+feDFlSG8UUNoowSRhG8VhEUceguctYNnJQ0dVoS5QL8YqOLqLKKmmaCZILAsopCYsmjCIwUWREu9FP7foqwqSgol61HWyws5ZGnEgmbKRURUmkgUnCKAoTRYkJKwsg8jQf9Q15EnEkTW+lJQgorySsX8KoMl0hiv5zXmXlqHVTXWeSC+9qhBkBFbZzO+mcUEX0ZUTpa0kaRYBJwjDiUogoJI0ArgU2A6YDRzjn5jUoNx1YCLwOrHTO7ZBfLZMT5uK7tGUB0aOLvElTEJCOJMJebW2SMLqRokY9jQfucs5tCdzlP2/G3s657fKURBmvrI1ys50wo4XyplanKGmmMFFEmFRTVSVhGGWhKFEcClzuP74c+GBB9UhEmAYmTLoj7A1zot6ZrWhhRJUDhBME5JtqgmIkYdGEURaKakVGO+dmATjnZklav0k5B9whyQEXO+cuabZCSScAJwAM7p9uf0RS0kpBQbwL8uob6qxSU0mkFFaCYaVqkjCM9MhMFJL+BGzQYNHpEVazq3Nupi+SOyU945y7t1FBXyKXAAwdvEGyOaIJfz1FGp3aNaLIAoh9BXejBj2sPNKOUKJESWlFEWCSMIwoZCYK59x+zZZJmi1pQz+a2BB4qck6Zvr/X5J0I7Aj0FAU7chi5FMUws4qG2UuqLSm+4D0BdCKqCm0IqIIMEkYRo2i+igmAMf6j48Fbq4vIKlX0jq1x8D+wOTcahiBsI1P2F+7YRtGCJ/TLwNR6xqmsxrCdViDScIw4lJUC/M94H2S/gW8z3+OpDGSJvplRgP3SXoceAi41Tn3xzwrWeTopyiygPIKo1avLAQB6aeawCRhGPUU0pntnHsZ2LfB6zOBg/zH04B35ly12ITtq4hyY6M4U5IHG+S00lJxtx/5vRHkGOVWpVn1R4BJwugOyjXYPmOK7qeoEVUWEO8eFvWNdhbiSCOKiRo9lSGKALtOwugeukoUcYgym2yUEVBRb5maxv22y5aaykoQUB1JWDRhVAETRcpkLQtILowiiSoHyE4QYJIwjDCU6ydmDsT5kkdtTKI0VlEawRpROnvLQK2+cSKILKMIk4RhhMMiihIQNbKoUeYII4nIosqzSlEEmCSM6tF1EQWUL6qA6L+eg8T9xZ42SesR5xiYJAwjeyyiiEDU26TGmd4jbnRRo76RziraSFNKcQSZhyDAJGEYYKLInLiyABIJo0bRUUYr8hAEmCQMIyldmXqC+I1AnEYnTuMG8RrSslNLL8VJMcWJIkwShpEciyhiEDUFBfFnmU0zuiiKpMKzKMIwiqWrRZH3ldpJpiQPNrZVkEYa0VCeggCThGE0o6tFkYQ4UQW80fgluYdFWaOMtFJlcVN1JgnDyIauF0WSqCKuLCCdGx7VN8x5iiPt/pO4coDyCAJMEkZn0vWiSErRsuizviaNdxKBZN2hnkQQYJIwjDwwUZC8ryKpLCBZKqrtNko4eqpIQYBJwjCiYKLwKVIWkI8wiiapHKB8ggCThNH5mChSJKksoPOEkYYcIJ27DZokDCMeJooAaQyXTUMWUG1hpCUHMEEYRhkwUdRRJllA30a3rNJIUww10rpfuUnCMJJjomhAWrIAUhMGrNkgFyWOLMRQo8yCAJOE0Z2YKDImzeiinkYNdqrDbTMUQj1pCQJMEoaRNiaKJqQ5vUcW0UUz8mzc08AEYRjlx0TRgrTngspTGGUmTTlAdoIAk4RhQBdPMx6WLBqhtBvKKlCb8tskYRjVwyKKEGQxy2ywwezkCCMrKZogDCM/TBQhyXJK8k5KSWUdLWUpCDBJGEYjTBQRqDVSWQsDqiWNPFJpWQsCTBKG0YxC+igkHS7pKUmrJO3QotwBkp6VNFXS+Dzr2Io8Gq2scvppEKxbHhFEHlGEScIwmlNURDEZ+BBwcbMCknqAnwPvA2YAD0ua4Jx7Op8qtibPu+M1aozziDiKlFQeMgaLIgwjDIWIwjk3BUBqeZ+EHYGpzrlpftlrgEOB9qJYsTJ5JUOQ961Ug5Qx0kgDE4RhlI8y91FsBDwfeD4D2KlZYUknACcADFYvbvYcNHpUtjUk+36LbiAvOdQwSRhGNDIThaQ/ARs0WHS6c+7mMKto8FrTO/A45y4BLgEY2jMy9zv1mDCiY4IwjGqQmSicc/slXMUMYOPA87HAzEh1yCmqCFJkOqoq5C0IMEkYRhLKnHp6GNhS0puAF4CjgI9GXUlRsgCLLoIUIQcwQRhGGhQ1PPYwSTOAXYBbJd3uvz5G0kQA59xK4CTgdmAKcJ1z7qk42yuqschjaGeZqe1/URGEScIw0kHO5Z7Oz5yhPSPdLr2HrPF63pFFIzo9yiiDGE0QhhGd2xde9ohzruF1bWVOPaVOEWmoeoINaSdIowxiqGGCMIxs6CpRQDlkUaOK0iiTGGqYIAwjW7pOFFAuWdSob4DLII4ySiGICcIw8qErRQHllEWQZo10FgIpuxDqMUEYRr50rSig/LJoRNUa9TQxQRhGMXT9He6s8Sk/NtTVMIqlqyOKGrVGqGrRRadjcjCMctD1EUUQa5jKgUUQhlEuLKKow6KL4jA5GEY5sYiiCdZo5YdFEIZRbiyiaIFFF9lhYjCM6mCiCIEJIz1MEIZRPUwUETBhxMPkYBjVxkQRAxNGe0wOhtE5mCgSYMLoi8nBMDoTE0UKBBvIbpKGicEwugMTRcp0sjRMDIbRnZgoMqS+Ya2aOEwMhmGAiSJXyiwOk4JhGM0wURRIq8Y5bYmYCAzDiIuJoqRYw24YRlmwuZ4MwzCMlpgoDMMwjJaYKAzDMIyWmCgMwzCMlpgoDMMwjJaYKAzDMIyWmCgMwzCMlhQiCkmHS3pK0ipJO7QoN13Sk5IekzQpzzoahmEYHkVdcDcZ+BBwcYiyezvn5mZcH8MwDKMJhYjCOTcFQFIRmzcMwzAiUPYpPBxwhyQHXOycu6RZQUknACf4T5fdvvCyyXlUsCBGAp0cZdn+VRvbv2qyabMFmYlC0p+ADRosOt05d3PI1ezqnJspaX3gTknPOOfubVTQl8gl/rYnOeea9n1UHdu/amP7V206ff8akZkonHP7pbCOmf7/lyTdCOwINBSFYRiGkQ2lHR4rqVfSOrXHwP54neCGYRhGjhQ1PPYwSTOAXYBbJd3uvz5G0kS/2GjgPkmPAw8Btzrn/hhyE037MjoE279qY/tXbTp9/9ZAzrmi62AYhmGUmNKmngzDMIxyYKIwDMMwWlJ5UXT6dCAR9u8ASc9KmippfJ51TIKkEZLulPQv///wJuUq9fm1+zzkcaG//AlJ7y6innEJsX97SVrgf16PSTqziHrGRdKvJb0kqeEAmqp/fpFxzlX6D9gKeCtwD7BDi3LTgZFF1zeL/QN6gH8DmwMDgceBtxdd95D79wNgvP94PPD9qn9+YT4P4CDgNkDAzsDfi653yvu3F3BL0XVNsI97AO8GJjdZXtnPL85f5SMK59wU59yzRdcjK0Lu347AVOfcNOfccuAa4NDsa5cKhwKX+48vBz5YYF3SIszncShwhfN4EBgmacO8KxqTKp9voXDehb2vtChS5c8vMpUXRQRq04E84k/30UlsBDwfeD7Df60KjHbOzQLw/6/fpFyVPr8wn0eVP7Owdd9F0uOSbpO0dT5Vy40qf36RKftcT0D+04HkTQr712h2xdKMe261fxFWU9rPrwFhPo9Sf2ZtCFP3R4FNnXOLJB0E3ARsmXnN8qPKn19kKiEK1+HTgaSwfzOAjQPPxwIzE64zNVrtn6TZkjZ0zs3yQ/eXmqyjtJ9fA8J8HqX+zNrQtu7OuVcDjydK+l9JI13n3DKgyp9fZLoi9dQF04E8DGwp6U2SBgJHARMKrlNYJgDH+o+PBdaIoCr4+YX5PCYAx/ijZ3YGFtRScBWg7f5J2kD+fQQk7YjX1ryce02zo8qfX3SK7k1P+gcchmf3ZcBs4Hb/9THARP/x5ngjMx4HnsJL6RRe97T2z39+EPBPvNEoVdq/9YC7gH/5/0d0wufX6PMATgRO9B8L+Lm//ElajNgr41+I/TvJ/6weBx4E3lt0nSPu39XALGCF//37VCd9flH/bAoPwzAMoyVdkXoyDMMw4mOiMAzDMFpiojAMwzBaYqIwDMMwWmKiMAzDMFpiojCMJkhaFKLMlyStlUd9Gmx7mKTPFbFto7swURhGMr4ERBKFpJ6Utj0MMFEYmWOiMIw2+PdWuEfS9ZKekfRb/4rcL+JdGHi3pLv9svtLekDSo5J+J2lt//Xpks6UdB9wuH8/h0f9SfPu8sv0+vdBeFjSPyQd6r9+nKSbJf3RvwfEWX7Vvgds4d/v4Ye5Hxija6jEXE+GUQLeBWyNN5/P3/AmKbxQ0inA3s65uZJGAt8E9nPOLZZ0GnAKcI6/jqXOud0kjcKbNG8P59xzkkb4y08H/uycO17SMOAhf0JF8Oa2egfwGvCwpFvx7t/xDufcdpnvvdHVmCgMIxwPOedmAEh6DNgMuK+uzM7A24G/+dMcDQQeCCy/NlDuXufccwDOudp9D/YHPiDpK/7zwcAm/uM7nXMv+9v/PbAb3oyshpE5JgrDCMeywOPXafzdEV6DfnSTdSwOlGs0d46AD7u6G1VJ2qlBeZt7x8gN66MwjGQsBNbxHz8I7CrpzQCS1pL0lgbveQDYU9Kb/HK11NPtwBcCs66+K/Ce98m7v/gQvLsA/q1u24aRGSYKw0jGJcBtku52zs0BjgOulvQEnjjeVv8Gv9wJwO8lPc4bKalzgQHAE5Im+89r3AdcCTwG3OCcm+Snov4mabJ1ZhtZYrPHGkbJkXQc3jTWJxVdF6M7sYjCMAzDaIlFFIZhGEZLLKIwDMMwWmKiMAzDMFpiojAMwzBaYqIwDMMwWmKiMAzDMFry/wEYmL+MwftlcwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEWCAYAAAB42tAoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3deZgU1dn+8e8zwzIwIgOOIgjuxigxbsQl7kaNIIoxrlnUqEETSTQaI3ElatTEJD815lV4Y1yjuAMvQpC4xLigonFBUUMAAw4Cw+aADMPy/P6o00NNT3d1D7P0LPfnuuaa7qrTVafqVNXdtXSVuTsiIiLZFBW6AiIi0ropKEREJJGCQkREEikoREQkkYJCREQSKShERCSRgqIJmdnZZvZSC41rezNzM+vUEuNrb8xsrpkdFV5fYWZ/bsJhrzSzHcPre83shiYc9l1mdnVTDa+xmnretZSmbpem0traN6VDB0XY0O6c1m2UmT3YAuNukfG0NYUIQHe/0d3Py1XOzF4ws5zl3H0zd5/d2Hpl+uLh7he4+/WNHXZTyXfebYoQ5qtD8K40s2fS+n/HzD4xs1VmNs7MejdTPfJq96bQkPZtybDr0EEhuVmkzSwnhdzD0t5dszg+BO9m7n5MqqOZDQRGA98H+gBfAP9ToDq2f+7eYf8AB3ZO6zYKeDC8PhyYD1wBVAJzge/Gym4BTAA+B14HrgdeivW/DZgX+r8JHBK6HwvUAGuBlcA7oXtP4G5gAfApcANQHPoVA78L9ZgNXBjq3ynLtM0Ffgl8ACwD7gFKQr9ewERgceg3Eegf++wLwK+Bl4HVwM7AD4CZQFUY//mx8qn59AtgUaj/icAQ4GNgKXBFrHwRMBL4D7AEeBToHfr9N0zXyvB3YOh+Thj/MmAKsF1aO14I/BuYk2V+fB/4JIzvyjB/jsrQ5iXAg6HccuANog3Rr4H1QHWo1x3Zxk1suQLuBe4CpoZ5949U3YHt09swzPvzgN3CuNaH8S2PDe+GWPkfArPCPJ4A9EubLxeEui0D/gRYlvmTPtzDgfmx95cTLZNVwEfANzLMu9T0nBXasRK4MjaMbsB9oS4ziZaX+ZnqE1uGj8rS70bgodj7nYjWqR5Zyu8NvBXq/wgwNjW9JKwPCe2ecd2OzZPHw3iqwnj3jPXfLbTzcuB94IRM7cDG9epSNq5XPwj9hhNtP2pCvf4vqZ0ava1syg1vW/sjv6BYB/wB6AocBqwCdg39xxJt5EqBr4QGigfF94jCpFNo7M/YuLGuHU+s/Diib0mlwFZE4XN+6HcB8CEwAOgNPE/uoJgRK/9ybAHcAvg20B3oATwGjIt99gWiFX1gqHtn4DiildHCfPgC2CdtPl0Tyv6QaKV7KAx/INGKtmMofzEwDegf5uto4OHQb/v06SIKnVlEK1gn4CrglbR2nBqms1uGebF7WJkODeP7Q6hvpqA4H/i/MG+KgX2BzWPz5bwMy1CdcVM/KKpi476NsIxkmdbacQBnE1ueYsNLteORRBvjfcKw/wi8mFa3iUAZsG1ok2OzLC+1w4216fzweleijWK/WL13yjDvUtPzv0ShsCewBtgt9L+ZKCh7hbZ/l9xBsTDU+xnqbmzHA5enlV8J7JthOF2IviT8jGj5PJloI9uQ9SG93XOt22vDeDoDPwfmhNediZblK0K9jgzLx67p7cDG9eq68LkhROtdryxtlrWdGr2tbK6NcFv4I/+gKI31fxS4mmgjshb4cqzfjaSt2GnDXpZa2EkLCqJvrWuIbeiAM4Dnw+vngAti/Y4hd1DEyw8B/pOl7F7AsrQV47oc824ccFFsPq1m495Pj1C3/WPl3wRODK9nEvumA/QN87ITmTeek4FzY++LwgqzXawdj0yo6zXA2Nj7UqJvYpmC4hzgFeCrGYbzApmD4sgM3eJBER/3ZkTfUAdkmdbacZA7KO4Gfps27LXA9rF6HJy27I7MMo9qhxtr01RQ7Ez0jfYooHPC+pKanvje6evA6eH1bOCbsX7nkRwUBxEFTneivePPgLLQ71liy3fo9ilweIbhHApUENubCm18Q5bxZlofzstWzyzr9rS05XUBcEj4+wwoivV/GBiVoX0PJ1qv4svHIuCALG2WtZ0a+9dmjj03k/VESR3XmWhlS1nm7qti7z8B+gFbEm3Y5qX1q2Vml5rZTDNbYWbLiQ4tlWepy3Zh3AvMbHkoP5poz4IwzqzjyiK9fL9Qr+5mNjqcCPwceBEoM7PiLJ/FzAab2TQzWxrqNiRtWpa4+/rwenX4vzDWfzXRhiw1rU/FpnMmUVv0yTId2wG3xcovJdqz2SZbfdPUmXehPZdkKfsA0aGtsWZWYWa/NbP0ZSRd0rjr9Hf3lUT175fjM/noR2w5CMNeQt358lns9RdsbIO8ufssor3AUcAiMxtrZkn1zzbO9GU4cb65+8vuvtrdv3D3m4gO1RwSeq8ENk/7yOZE387T9QM+9bA1DWrnW57rQx15rNvxNt9AdAipX/ibF7rF6xJvs7gl7r4u9j5rG25CO+WtowfFf4m+BcXtQN2NcC8zK42935bo28lior2NAWn9ADCzQ4iOF55KtKtYBqwg2sBB9M0rbh7RHkW5u5eFv83dfWDovyDbuBKkl68Iry8l2k3d3903J/rGRaxudepnZl2BJ4jOkfQJ0zIprXxDzAMGx6azzN1L3P1T6s+XVPnz08p3c/dXMtU3gzrzzsy6Ex02qMfd17r7r9x9d+DrwFDgzBzjSBo3aePejOgwVQXRYUyIvjGnbN2A4VYQhWhq2KVE0/Vpjs9lsiqhHrj7Q+5+cBifA7/ZhHEsIDrklDIgW8EsnI3L3PtEh7YACJcjdyU6J5ZpvNuYWXx5ja8/udaHOu2Qx7oNddu8iGi6K8LfgLQLRLZl09qs3vLRRO1UT0cPikeAq8ysv5kVhevqjyc6ERX3KzPrEhaQocBj4dvzk8Co8I1kd6KTeCk9iIJkMdDJzK6h7jeghcD2qQXG3RcQHYf9vZltHuqzk5kdFso/Cvw01LUX0cngXC4M5XsTHRN9JFa31cDy0O/aHMPpQrQSLgbWmdlgokNfm+ou4Ndmth2AmW1pZsNCv8XABmDHtPK/DFe6YGY9zeyUBozvcWComR1sZl2IjvlmXPbN7Agz2yN8m/ycaO8ytae0MK1e+RoSG/f1wGvuPs/dFxNtIL5nZsVmdg7ReaCUhUD/8LlMHgJ+YGZ7hTC/MQx77ibU8e1Qz95mtjXRN1MAzGxXMzsyjKOaaNlZn2U4SR4lasdeZrYNMCJbQTPb1swOCutdiZldRvSN/eVQ5K/A8WZ2SAjI64An3T3THsWrROviT82sk5mdBOwX659rfUhv91zrNsC+ZnZSuBLuYqIvgdOA14hC+Rdm1tnMDifa5ozNNi8S1KlXE7ZTPR09KK4jOlb5EtExxt8SXdU0I1bms9CvgmjhvMDdPwz9RhDtBn5GdLzwntjnphAdW/+YaA+lmrq72o+F/0vM7K3w+kyijXLqSqXHiY7fQ3SCcArwDtFVFE/mMX0PEYXP7PCXuub6VqJjv5VEC+/fkgYSVr6fEq3oy4DvEF1hs6luC59/xsyqQh32D+P6gnDFVTjUdIC7P0X0zWhsODQwAxic78jc/X2iK5MeIvp2uYzoUEAmWxPN98+JDon9g+gqqFS9TzazZWZ2ewOm9yGijc9SopPj3431+yFwGdEho4FEy2PKc0TfnD8zs8oM0/Us0fmyJ8J07QSc3oB6xT1AtGzNJVpmHon160p0IrqSaFnfiuiLR0NdRzTf5wB/J5rPa7KU7QHcSdRWnxJdKTjY3ZdAbZteQLROLgrlf5xpQO5eA5xEdM5nGXAaddefXOtDervnWrchOtl+Whjf94GTwt5qDXAC0fJbSXRJ75mxbUpD3A3sHtaTcTRdO9VjdQ/bSVxI+wfdvX+usq2Nmc0lOgH390LXRSQTM/sR0Ynuw3IWbkPMbBTRxQzfK3RdmkpH36MQkRZiZn3D4aQiM9uV6NzAU4Wul+SmX5KKSEvpQnQl3w5EVzCNRb+mbhN06ElERBLp0JOIiCRql4eeuliJdytq8O+KREQ6rM83LKl09y0z9WuXQdGtaDMOLD2+0NUQEWkzplTdm/VuDzr0JCIiiRQUIiKSSEEhIiKJ2uU5CpH2prSsG6eMPJo+O5Zjm3orRunw3GHh7Eoeu3kqq5avzv2BQEEh0gacMvJodh+0K12LSzAlhWwid2eL3ltwyki4d2T+t2vToSeRNqDPjuUKCWk0M6NrcQl9dsz2WJzMFBQibYAZCglpEmbW4MOXCgoREUmkcxQiktOy5cs4+0fRXbMrlyymqKiY3r16A/DY/U/RpXO2Zyu1fa9Nn0bnzp3ZZ899W2yc8yvmc8HF5zHx0cRHxbQYBYWI5NSrrBfjH34agD+OvpXu3Uo598wf1vZft24dnToVbnPSnON//c1pdO9W2qCgKPT8aGrtZ0pEpFaPyeMpv+MWOi1cwLo+fakccRlVg4fl/mADjLz2Mnr27MkHH37AwC8PpLS0tE6ADD31WO669c/079ef8ZPG8cDYe1m7di17fmUvrh15HcXFxXWGd+TQQxh8zHG8Nn0aAL//9a1sN2B7nnvxWe788x2sXbeWsp5l/O6G/0f5Flvyx9G3smjxIj6tmE+vsl78bMRl/OLqS1i9Orrs8+rLR7HPnvvy2vRp/HH0rWzRu5wPP/6Ao4/4Jl/aeVfuH3sva6qr+dPvR7PtgO1YumwJ1954FRWfRY+Wv+LSq+mz1daMfeIhioqKmTB5HFf/4lp23H6neuX23WtQvfr8/sbbaqft4pE/4VtDT+Kwg4+onXdHHHokA3fbI2Od456c8DgzZr7HNZf/CoDzLzqXc77/Q/YfdAAvvfpP/jj6VmpqahjQf1tuGvVbSruX8rvbf8NzLz5LcXExBx9wCJf/rHEPulNQiLQzPSaPp88NV1BUHW18On9WQZ8bog1FU4fF3E/mcO+dD1BcXMwfR9+ascx/5sxi8jMTefjux+jcuTOjbrqa/5s8nhOHnlSv7GalPXj8/nGMm/gkN/7uekbfdjf77jWIR+97EjPjsace4c/3jWHkJVcC8P7MGTx096OUlJSwevVq7vmfB+jatStz/zuHS664iCcfjC4B/fDjmUx6fCplPXvyjRMO55QTT+Xx+8dx30P38MAj93Hlz6/h17dcx1nfOYdBe3+NigWfcu6Is5n8xFRO//Z36gTgpVdclLFcen3ijjtmKJOeeZrDDj6CmrU1vPrGK4z65fW4e9Y657J02VLuvPsO7rnzAbp3686Ye+/ingfv5nunncnUF57hb0/8HTPj86rP82vMBAoKkXam/I5bakMipah6NeV33NLkQXHsUUPq7Rmke/X1V5gxcwYnn3kiANVrqtmi9xYZyw79ZnQzz+O+eTw3/SF6xPtnCxfws5E/YXHlImrWraV/vwG15Y887Bu1G+V169Zy3W9H8eFHH1BUXMzcT+bUlttj4FfZasutANi2/7YcdMAhAHxp511r92Beef0VZs2ZVfuZlatWsnLVynp1TCoXr0/coQcdzg2/u46amjW8+MqLDNr7a5SUlFBV9XnWOufyznv/YtbsWZxxzikArF27lr2+ujeblW5G1y5dufL6kRx+8BEcfsiReQ8zGwWFSDvTaeGCBnVvjG7dutW+Li7uxAbfUPt+zZo1QPQjr28NPYlLf/KL3AOsc91m9PqGW37F2d89l28cdhSvTZ/GHWM2HtLpVtK99vW9D/2F8t7ljB87iQ0bNvDVr+9W2y9+sr2oqIguXbrUvl6/fh0AGzZs4JF7nsi4oY9LKhevT1zXrl3Zb9/9+eer/2TyMxM57tgTctY5pbhTJzZsiM3XmjBfgYMOOIg/3Hh7vc88fv9TvPr6Kzz9zEQefOQB7h/918RpykWXx4q0M+v69G1Q96ayTb/+fPDh+0B0CGZ+xTwADtzv60x5djJLllYCsHzFcj5d8GnGYUx+ZiIAk6Y+zd5f3RuAqpVV9NmqDwDjJj6RdfxVK6vYsnwrioqKGD/pKdavX9+g+h98wME8+Oj9te9nfvQBAKXdN2PVFytzlsvluGOG8uSEx5n+9nQOPvCQvOu8Td9t+PDjmWzYsIEFn1Xw7vvvArDXHnvx1ttv8sm8uQCsXr2aOZ/MZtUXq6haWcVhBx/BFZdezYcf51e/JAoKkXamcsRlbCjpVqfbhpJuVI64rFnH+80jj2XFiuUMO+M4Hn78r2y/7Q4A7LzjLlz840s558KzOP60wZzz4zNZXLko4zBq1tZwypnf4v6H7+GXl14FwIjhF3HR5SP4zrmnUlbWO+v4v3PK93hq4hOcetZJzP1kDt27Zf52n82Vl13LjA/e4/jTBjPk5GN4+InoW/gRhx7J1OefYdgZxzH9X69nLZfLQQccwvR/vc7X9/t67R5OPnXed69BbNOvP8efNpjf3HoTA788EIDevbbgplG3cMkVF3H8aYM59eyTmD13NqtWreL8i8/j+NMG8/0fns4vL7mqQfMhk3b5zOyexeWuBxdJezLysXPot2X/vMu3xFVPTe3IoYfw+APja3+fIc2nYvF8bj7lL3W6Tam69013H5SpvM5RiLRDVYOHtfpgkLZDQSEircJzE/9Z6CpIFjpHIdIGuEdXD4k0lrvT0EVJQSHSBiycXcma9dUKC2kUd2fN+moWzq5s0Od06EmkDXjs5qmcMhI94U4aJf6Eu4ZQUIi0AauWr27QE8lEmpIOPYmISCIFhYiIJFJQiIhIIgWFiIgk0slsaRbWZ8sGf8YXLm6GmohIYykopMlsSjhk+7xCQ6T1UFBIoySFw7otN897OJ0W130KV2q4CgyRwlNQyCbJFBBJwbCmvGud910r12T8rAJDpPUpaFCY2V+AocAid/9Khv4G3AYMAb4Aznb3t1q2lpIuPSTSAyI9FDLJFhxJgaGwECmMQu9R3AvcAdyfpf9gYJfwtz9wZ/gvBZAUEPENf3Xv5GcopytZur7287kCQ0RaXkGDwt1fNLPtE4oMA+736E5o08yszMz6unvTP/xXEsVDIlNAxMOhulf9mxHVlEX/uyzPNPTos5kCI70O2qsQaXmF3qPIZRtgXuz9/NCtXlCY2XBgOECJlbZI5TqKTCGRaQ8iFRCpUACo6bXxofDRe+iybOPPd7osjwdL3cDoWrmGdVtuXmevQmEh0vJae1Bkuk9mxvssu/sYYAxEj0Jtzkp1JEkhEQ+IVDjEg2FD2bqMw6wug6LlqUUvCo1UYJQsc6p7F1OydOND5tPDQkRaVmsPivnAgNj7/kBFgerS4eQKifgeRCogUuFQ2nN14rBX0S36LBsDIx4WqXFlOgQlIi2rtQfFBGCEmY0lOom9QucnWkY+IRHfi9hQtq42HPr1XFFnWDv1qOQ/VeV1uqXSfhXdavcuaso2nsNI36sQkcIp9OWxDwOHA+VmNh+4FugM4O53AZOILo2dRXR57A8KU9OOJSkkDlv+Nj96YTJbVy1jQc9e3HLCsYw7ak9Ke66uDYidekRPz9qtdGOm71a6gJmr+tYZT8WKnpT2XM0qulFDpzrnLkSk9Sj0VU9n5OjvwIUtVB0hd0hc8epjdFu3FoBtVizjxkcep3P5Gt4+Ydt6AbFHycbrEN6rHlDbfeaqvrVlK1b0rFcHHX4SaV30FU7yUt27mB+/Nbk2JFK616zl5w9NZacelexWuoDdShewR8m8OiEB1OkW39MQkdavtZ+jkBaU6zLYPquWZfzcVouqal+nwmCPLivrlHmvZrPa/u9VDyBf2psQKTztUUhOqctgP+vRK2P/pX1Ka/ckoH5IZOsmIm2DgkLyUt3LuO2gIazu3Llu966dGHfhXnkPJ5+9idT5CRFpHXToSerJdNgJYPwB+7Jmyw38fOJk+i1bzoIte3Lf8AP57+Bydqv/Y/k6UoeeIDqZnX65bLpsl8bqV9kiLU9BIUD+Dx2aMGhfJgzat/Z3E/16rmAnoiuY3qseEJ2DiIVC3HvVA+pcIluxoierVkS/o+iyLPrBXXxvInV+Qr/KFiksHXqSBsn2W4dUAKQfWnqvekDtX6rMf6rKM4ZESnxvIh4S2psQKQztUUjeuiyve8M/2Pg7iJ16VNb7QR1Qp1vqcFN6SKSULPPakNDVTiKth4JCsupauab2PEXJMq9z+/Ci5Z1YRTdKe67O+KO5TOcgUgGR+nx8TyJTSGhvQqR1UFAIEG2IU+cpOi3+vM4zJ0qWrq+9RDbasBdR02tDbVhA3Ts1ZgqOeEAACgmRNkRBIXlL7VWkwgI23v01FRiZFC3vVHsyLD0gAIWESCunoJCMUnsVqcNPqb2KeFjUlMVObi/rUu8hRVD/IUWQPSBS401RSIi0DgoKqRU//BQXD4tI6rGndZ8r1WV5UZ1bhadLD4jUsKH+JbAKCZHWQ0EhWcXPVdQ5sV0vMDYqyXw7qLTPZd+LAIWESGujoJA60vcqUhvx1GEoIENg5Cf9klcFhEjboKCQejIdgkrfu0iXfruPbL+DyPYra4WESOuloJCMUhvuTHsXQJ3LZyH5B3JJt+BQQIi0fgoKSZQpMKBx919SOIi0LQoKyUu2wGjIZ0WkbVJQSINooy/S8ejusSIikkhBISIiiRQUIiKSSEEhIiKJFBQiIpJIQSEiIokUFCIikqigQWFmx5rZR2Y2y8xGZuh/uJmtMLO3w981hainiEhHVrAf3JlZMfAn4GhgPvCGmU1w9w/Siv7T3Ye2eAVFRAQo7B7FfsAsd5/t7jXAWGBYAesjIiIZFDIotgHmxd7PD93SHWhm75jZZDMbmG1gZjbczKab2fQar27quoqIdFiFvNeTZejmae/fArZz95VmNgQYB+ySaWDuPgYYA9CzuDx9OCIisokKuUcxHxgQe98fqIgXcPfP3X1leD0J6Gxm5S1XRRERKWRQvAHsYmY7mFkX4HRgQryAmW1tZhZe70dU3yUtXlMRkQ6sYIee3H2dmY0ApgDFwF/c/X0zuyD0vws4GfiRma0DVgOnu7sOK4mItCBrj9vdnsXlfmDp8YWuhohImzGl6t433X1Qpn76ZbaIiCRSUIiISCIFhYiIJFJQiIhIIgWFiIgkUlCIiEgiBYWIiCRSUIiISCIFhYiIJFJQiIhIIgWFiIgkUlCIiEgiBYWIiCRSUIiISCIFhYiIJFJQiIhIIgWFiIgkUlCIiEgiBYWIiCRSUIiISCIFhYiIJMorKMzsS2b2rJnNCO+/amZXNW/VRESkNch3j+J/gV8CawHc/V3g9OaqlIiItB75BkV3d389rdu6pq6MiIi0PvkGRaWZ7QQ4gJmdDCxotlqJiEir0SnPchcCY4Avm9mnwBzgu81WKxERaTXyCgp3nw0cZWalQJG7VzVvtUREpLXI96qnLczsduCfwAtmdpuZbdG8VRMRkdYg33MUY4HFwLeBk8PrRxo7cjM71sw+MrNZZjYyQ38zs9tD/3fNbJ/GjlNERBom36Do7e7Xu/uc8HcDUNaYEZtZMfAnYDCwO3CGme2eVmwwsEv4Gw7c2ZhxiohIw+UbFM+b2elmVhT+TgWebuS49wNmuftsd68h2msZllZmGHC/R6YBZWbWt5HjFRGRBsg3KM4HHgJqwt9Y4BIzqzKzzzdx3NsA82Lv54duDS0DgJkNN7PpZja9xqs3sUoiIpIu36ueejTDuC3TqDahTNTRfQzRJbz0LC7PWEZERBou399RYGYnAIeGty+4+8RGjns+MCD2vj9QsQllRESkGeV7eezNwEXAB+HvotCtMd4AdjGzHcysC9G9oyaklZkAnBmufjoAWOHu+kW4iEgLynePYgiwl7tvADCz+4B/AfUuac2Xu68zsxHAFKAY+Iu7v29mF4T+dwGTwrhnAV8AP9jU8YmIyKbJ+9AT0eWwS8Prnk0xcnefRBQG8W53xV470e1DRESkQPINipuAf5nZ80QnmA8luu24iIi0c/le9fSwmb0AfI0oKC5398+as2IiItI6JAZFhltmzA//+5lZP3d/q3mqJSIirUWuPYrfE/1uIfV7hvTfJxzZ5DUSEZFWJVdQXA7MS12SamZnEd0YcC4wqllrJiIirUKu31HcBawBMLNDiU5q3wesIPwKWkRE2rdcexTF7p66JPY0YIy7PwE8YWZvN2/VRESkNci1R1FsZqkw+QbwXKxfQ36DISIibVSujf3DwD/MrBJYTfSEO8xsZ6LDTyIi0s4lBoW7/9rMngX6As+EX0pDtCfyk+aunIiIFF7Ow0fhgUHp3T5unuqIiEhrk++Di0REpINSUIiISCIFhYiIJFJQiIhIIgWFiIgkUlCIiEgiBYWIiCRSUIiISCIFhYiIJFJQiIhIIgWFiIgkUlCIiEgiBYWIiCRSUIiISCIFhYiIJFJQiIhIooI899rMegOPANsDc4FT3X1ZhnJzgSpgPbDO3Qe1XC1FRAQKt0cxEnjW3XcBng3vsznC3fdSSIiIFEahgmIYcF94fR9wYoHqISIiORQqKPq4+wKA8H+rLOUceMbM3jSz4UkDNLPhZjbdzKbXeHUTV1dEpONqtnMUZvZ3YOsMva5swGAOcvcKM9sKmGpmH7r7i5kKuvsYYAxAz+Jyb3CFRUQko2YLCnc/Kls/M1toZn3dfYGZ9QUWZRlGRfi/yMyeAvYDMgaFiIg0j0IdepoAnBVenwWMTy9gZqVm1iP1GjgGmNFiNRQREaBwQXEzcLSZ/Rs4OrzHzPqZ2aRQpg/wkpm9A7wOPO3ufytIbUVEOrCC/I7C3ZcA38jQvQIYEl7PBvZs4aqJiEga/TJbREQSKShERCSRgkJERBIpKEREJJGCQkREEikoREQkkYJCREQSKShERCSRgkJERBIpKEREJJGCQkREEikoREQkkYJCREQSKShERCSRgkJERBIpKEREJJGCQkREEikoREQkkYJCREQSKShERCSRgkJERBIpKEREJJGCQkREEikoREQkkYJCREQSKShERCSRgkJERBIVJCjM7BQze9/MNpjZoIRyx5rZR2Y2y8xGtmQdRUQkUqg9ihnAScCL2QqYWTHwJ2AwsDtwhpnt3jLVExGRlE6FGKm7zwNr8REAAAdjSURBVAQws6Ri+wGz3H12KDsWGAZ80OwVFBGRWq35HMU2wLzY+/mhW0ZmNtzMppvZ9BqvbvbKiYh0FM22R2Fmfwe2ztDrSncfn88gMnTzbIXdfQwwBqBncXnWciIi0jDNFhTuflQjBzEfGBB73x+oaOQwRUSkgVrzoac3gF3MbAcz6wKcDkwocJ1ERDqcQl0e+y0zmw8cCDxtZlNC935mNgnA3dcBI4ApwEzgUXd/vxD1FRHpyAp11dNTwFMZulcAQ2LvJwGTWrBqIiKSpjUfehIRkVZAQSEiIokUFCIikkhBISIiiRQUIiKSSEEhIiKJFBQiIpJIQSEiIokUFCIikkhBISIiiRQUIiKSSEEhIiKJFBQiIpJIQSEiIokUFCIikkhBISIiiRQUIiKSSEEhIiKJFBQiIpJIQSEiIokUFCIikkhBISIiiRQUIiKSSEEhIiKJFBQiIpJIQSEiIokUFCIikkhBISIiiQoSFGZ2ipm9b2YbzGxQQrm5Zvaemb1tZtNbso4iIhLpVKDxzgBOAkbnUfYId69s5vqIiEgWBQkKd58JYGaFGL2IiDRAofYo8uXAM2bmwGh3H5OtoJkNB4aHt2umVN07oyUqWCDlQHvey9L0tW2avrZpu2w9mi0ozOzvwNYZel3p7uPzHMxB7l5hZlsBU83sQ3d/MVPBECJjwrinu3vWcx9tnaavbdP0tW3tffoyabagcPejmmAYFeH/IjN7CtgPyBgUIiLSPFrt5bFmVmpmPVKvgWOIToKLiEgLKtTlsd8ys/nAgcDTZjYldO9nZpNCsT7AS2b2DvA68LS7/y3PUWQ9l9FOaPraNk1f29bep68ec/dC10FERFqxVnvoSUREWgcFhYiIJGrzQdHebwfSgOk71sw+MrNZZjayJevYGGbW28ymmtm/w/9eWcq1qfbL1R4WuT30f9fM9ilEPTdVHtN3uJmtCO31tpldU4h6bioz+4uZLTKzjBfQtPX2azB3b9N/wG7ArsALwKCEcnOB8kLXtzmmDygG/gPsCHQB3gF2L3Td85y+3wIjw+uRwG/aevvl0x7AEGAyYMABwGuFrncTT9/hwMRC17UR03gosA8wI0v/Ntt+m/LX5vco3H2mu39U6Ho0lzynbz9glrvPdvcaYCwwrPlr1ySGAfeF1/cBJxawLk0ln/YYBtzvkWlAmZn1bemKbqK2vLzlxaMf9i5NKNKW26/B2nxQNEDqdiBvhtt9tCfbAPNi7+eHbm1BH3dfABD+b5WlXFtqv3zaoy23Wb51P9DM3jGzyWY2sGWq1mLacvs1WGu/1xPQ8rcDaWlNMH2Z7q7Yaq57Tpq+Bgym1bZfBvm0R6tusxzyqftbwHbuvtLMhgDjgF2avWYtpy23X4O1iaDwdn47kCaYvvnAgNj7/kBFI4fZZJKmz8wWmllfd18Qdt0XZRlGq22/DPJpj1bdZjnkrLu7fx57PcnM/sfMyr39PDKgLbdfg3WIQ08d4HYgbwC7mNkOZtYFOB2YUOA65WsCcFZ4fRZQbw+qDbZfPu0xATgzXD1zALAidQiuDcg5fWa2tYXnCJjZfkTbmiUtXtPm05bbr+EKfTa9sX/At4jSfQ2wEJgSuvcDJoXXOxJdmfEO8D7RIZ2C172ppi+8HwJ8THQ1Sluavi2AZ4F/h/+920P7ZWoP4ALggvDagD+F/u+RcMVea/zLY/pGhLZ6B5gGfL3QdW7g9D0MLADWhvXv3PbUfg390y08REQkUYc49CQiIptOQSEiIokUFCIikkhBISIiiRQUIiKSSEEhkoWZrcyjzMVm1r0l6pNh3GVm9uNCjFs6FgWFSONcDDQoKMysuInGXQYoKKTZKShEcgjPVnjBzB43sw/N7K/hF7k/Jfph4PNm9nwoe4yZvWpmb5nZY2a2Weg+18yuMbOXgFPC8xzeCjfNezaUKQ3PQXjDzP5lZsNC97PNbLyZ/S08A+LaULWbgZ3C8x5uafEZIx1Gm7jXk0grsDcwkOh+Pi8T3aTwdjO7BDjC3SvNrBy4CjjK3VeZ2eXAJcB1YRjV7n6wmW1JdNO8Q919jpn1Dv2vBJ5z93PMrAx4PdxQEaJ7W30F+AJ4w8yeJnp+x1fcfa9mn3rp0BQUIvl53d3nA5jZ28D2wEtpZQ4AdgdeDrc56gK8Guv/SKzci+4+B8DdU889OAY4wcx+Ht6XANuG11PdfUkY/5PAwUR3ZBVpdgoKkfysib1eT+Z1x4g26GdkGcaqWLlM984x4Nue9qAqM9s/Q3nde0dajM5RiDROFdAjvJ4GHGRmOwOYWXcz+1KGz7wKHGZmO4RyqUNPU4CfxO66unfsM0db9HzxbkRPAXw5bdwizUZBIdI4Y4DJZva8uy8GzgYeNrN3iYLjy+kfCOWGA0+a2TtsPCR1PdAZeNfMZoT3KS8BDwBvA0+4+/RwKOplM5uhk9nSnHT3WJFWzszOJrqN9YhC10U6Ju1RiIhIIu1RiIhIIu1RiIhIIgWFiIgkUlCIiEgiBYWIiCRSUIiISKL/D38H23IQ6eQHAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEWCAYAAAB42tAoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3deZwU5YHG8d/DcAyOyICDKIK3MdEYj7BG44VGjSAGc3jlUGMS4yYmZnWNRKMSNcbEJGuMJspGxSOKt7IKwXvVqFG8UdQQxBUHEeRGYBh49496e6hpumt6YGZ6juf7+cxnurrernrrfPqtqq5SCAEzM7NiupW7AmZm1r45KMzMLJODwszMMjkozMwsk4PCzMwyOSjMzCyTg2IDSDpJ0lNtNK5tJAVJ3dtifJ2NpJmSDomvz5H0lxYc9lJJ28XX4yRd3ILDvlrSeS01vA3V0vOuvYjb1g7lrke+9LpVTl0qKAqtDJLGSLq5DcbdJuPpaMoRgCGES0II322qnKTHJTVZLoSwcQhhxobWq9AXjxDCqSGEizZ02C2l1Hm3PiRdJOk1SfWSxhTo/3VJ70paJuleSf1T/XpJuk7SYkkfSDqjlerYputrc9at1gy7LhUU1jQlOsx6Uc4Wllt3LW468FPggfweknYBrgG+BQwEPgb+lCoyBtgR2Bo4CPippMNbub5dRwihy/wBAdgh770xwM3x9TBgFnAOMA+YCXwjVXZTYAKwGHgOuAh4KtX/D8B7sf8LwP7x/cOBOmAVsBR4Jb7fF7gWmA28D1wMVMR+FcBvYz1mAD+M9e9eZNpmAj8D3gAWANcDlbFfP+B+YG7sdz8wOPXZx4FfAn8HlgM7AN8GpgFL4vi/nyqfm08/BT6M9T8KGAG8DcwHzkmV7waMBv4FfATcDvSP/f4vTtfS+LdPfP/kOP4FwGRg67zl+EPgn8A7RebHt4B34/jOjfPnkALLvBK4OZZbCDxPsiP6JbAaWBHrdWWxcZNar4BxwNXAQ3He/W+u7sA2+cswzvvvAp+K41odx7cwNbyLU+W/R7JDnU+yLg7Kmy+nxrotAK4CVGT+5A93GDAr1X02yTq5BHgL+EKBeZebnhPjcpwHnJsaRm/ghliXaSTry6xC9cmr283AmLz3LgFuSXVvT7JN9Ynd7wOHpfpfBIzPGMdZJOttLcm6ll6GRwAvkWzH76XrQoH1Ndbl0bgOzQP+ClSXsm2WuEzT69ZVJEG6BPgHsH3s90QsuyzW61ighmRbXxiH/STQbb32nS29M27Pf5QWFPXA74FewIFxxu8U+48n2clVAZ+OK2c6KL5JEibdgTOBD1i7s24YT6r8vSTfkqqAzUjC5/ux36nAm8AQoD/wGE0HxdRU+b8TdwSxTl8FNgL6AHcA96Y++3jcAHaJde8RN5btAcX58DGwZ958Oj+W/R5JCN0Sh78LyU5vu1j+J8CzwOA4X68Bbo39tsmfLpLQmU6y8+wO/Bx4Om85PhSns3eBebFz3FgOiOP7faxvoaD4PvA/cd5UAJ8FNknNl+8WWIcajZt1N+YlqXH/gbiOFJnWhnEAJ5Fan1LDyy3Hg0l2RHvGYf8ReCKvbvcD1cBWcZkcXmR9aRhuapnOiq93ItlBDkrVe/sC8y43Pf9NEgq7ASuBT8X+l5IEZb+47F9l/YPiPuDsvPeWxuXVL9ZjYKrf14DXigz/cGAOyTZcRbLeppfhMGBXki84n4llj8pYhjsAh8ZlMoBkp315idtmKcs0vW7NB/Yi2S7+SioMydu/Ab8i+dLSI/7tT5EvDk0uk5bcEbf3v/wZWWDFH0ayQ6lK9b8dOI9kJ7IK+GSq3yXkbdh5w14A7JY/ntg9MG5UvVPvHQ88Fl8/Cpya6ndY/gqaN66ZeeVHAP8qUnZ3YEGq+3Hgwibm3b3A6an5tJy1rZ8+sW6fS5V/IbVxTSN+I43dW8R52b3IhjcJ+E6quxtJUG2dWo4HZ9T1/LwNqIrk22ehoDgZeBr4TIHhPE7hoDi4wHvpjTk97o1JWglDikxrwzhoOiiuBX6TN+xVwDapeuyXt+6OLjKPGoabWqa5oNiBpKV4CNAjY3vJTU+6dfoccFx8PQP4Yqrfd1n/oHiE1Pod33s/1ntIrEf6W/qhwMwiw78OuDTV/QkK7BtS/S8H/itvmgtuh7HMUcBLpWybJS7T9Lr1l7zhvFloPYzdF5IEbMHpas5fhzkW3UJWkyRrWg+SBZOzIISwLNX9LjCI5JtCd5JvWul+DSSdKWmapEWSFpIcWqopUpet47hnS1oYy19D0rIgjrPouIrILz8o1msjSdfEE4GLSb7xVEuqKPJZJA2X9Kyk+bFuI/Km5aMQwur4enn8PyfVfznJSp+b1ntS0zmNZFkMLDIdWwN/SJWfT9Ky2bJYffM0mndxeX5UpOxNJIe2xkuqlfQbSfnrSL6scTfqH0JYSlL/QU18phSDSK0Hcdgf0Xi+fJB6/TFrl0HJQgjTSVqBY4APJY2XlFX/YuPMX4ebmm9ZlgKb5L23CUnrbWmqO79fIZnblqTPSXpM0lxJi0ha98W2YyRtFufR+3H7urlA+YLbJqUt07TmLN/LSFrmD0qaIWl0RtlMXS0o/o/kG0HatjReUfpJqkp1b0VyHHMuSWtjSF4/ACTtT3Jc9xigXwihGlhEsoODJO3T3iNpUdSEEKrj3yYhhF1i/9nFxpUhv3xtfH0myeGEz4UQNiE5LEKqbo3qJ6kXcBfJOZKBcVom5pVvjveA4anprA4hVIYQ3mfd+ZIr//288r1DCE8Xqm8BjeadpI1IDr+tI4SwKoTwixDCzsDngZHACU2MI2vc5I17Y5LDDbUkhzEhOcyVs3kzhltLEqK5YVeRTNf7TXyukGUZ9SCEcEsIYb84vgD8ej3GMZvkkFPOkGIFS/A6yaEtAOIlo72At0MIC+K4dkuV3y1+pli9sratW0jOFQwJIfQlOXxTbDuG5BBPIGmVbkJyCDp/Wym2bbbkMm0khLAkhHBmCGE74EjgDElfWJ9hdbWguA34uaTBkrrF6+qPBO7MK/cLST3jzn8kcEf89nw3MCZ+Q9+Z5CReTh+SIJkLdJd0Po2/4cwBtsldURRCmA08CPxO0iaxPttLOjCWvx34caxrP5KTwU35YSzfn+SE/G2pui0HFsZ+FzQxnJ4kG+FcoF7ScJJDX+vrauCXkrYGkDRA0qjYby6wBtgur/zP4pUuSOor6ehmjO9OYKSk/ST1JGmCF1zXJR0kadfYulpM0rrMtZTm5NWrVCNS474I+EcI4b0QwlySHcA3JVVIOpnkPFDOHGBw/FwhtwDflrR7DPNL4rBnrkcdX4717C9pc5IWBACSdpJ0cBzHCpJ1Z3WR4WS5nWQ59pO0JXBaVmFJPSRVkiyr7pIqU63evwJHSto/7kwvBO4OIeRaDTeSbNv9JH2S5LzZuIx6nSRp5/glIn976APMDyGskLQX8PVUv0Lrax/iBQhxOs8qMM5i22ZLLtNG66ukkZJ2kCSSdXs167ccu1xQXEhyPPopkvMHvyG5qmlqqswHsV8tycp5agjhzdjvNJKm3gckK+H1qc9NJjm2/jZJC2UFjZubd8T/H0l6Mb4+gWSnnLsa4k6S4/eQnCCcDLwCvEgSUk25hSR8ZsS/3A+/Lic52TiP5KTy37IGEje+H5NsUAtINpQJJYy/mD/Ezz8oaUmsw+fiuD4mXnEVDzXtHUK4h+Qb7PjYlJ8KDC91ZCGE10muTLqF5NvjApKrtArZnGS+LyY5JPa/JIcOcvX+mqQFkq5oxvTeQrLzmU9ysvUbqX7fI9mRfERy0j/dSnqU5FvwB5LmFZiuR0jOl90Vp2t74Lhm1CvtJpJ1aybJOnNbql8vkhPR80jW9c1Idm7NdSHJfH8HeJhkPq/MKP/fJKF0PMmVastJrl7LLdNTSbbJD0l2zj9IffYCkqvq3iVZhpeFEAqu5yGESSTbxKMkh2YezSvyA+DCuK6eT7Id5D67zvoK/ILkZPQikiuSCm2rBbfNFl6mY4AbYr2OIblc+GGSEHsG+FMI4fH1GbDiSQ8DJA0jOVE3uKmy7Y2kmSQnRR8ud13MCpH07yQnug9ssnAn0hm2za7WojCzNiJpC0n7xsOqO5GcK7un3PWy5vMvS82stfQkuZJvW5IffY2n8a+prYPwoSczM8vkQ09mZpapUx566qnK0Ltbs39nZGbWZS1e89G8EMKAQv06ZVD07rYx+1QdWe5qmJl1GJOXjCt69wcfejIzs0wOCjMzy+SgMDOzTJ3yHIVZZ1NV3ZujRx/KwO1q0PremtG6vBBgzox53HHpQyxbuLzpD0QOCrMO4OjRh7Lz0J3oVVGJnBS2nkIIbNp/U44eDeNGl377Nh96MusABm5X45CwDSaJXhWVDNyu6OM1CnJQmHUAEg4JaxGSmn340kFhZmaZfI7CzJq0YOECTvr3bwIw76O5dOtWQf9+/QG448Z76Nmj2LOWOr5/THmWHj16sOdun22zcc6qncWpP/ku99+e+eiYNuOgMLMm9avux323PgDAH6+5nI16V/GdE77X0L++vp7u3cu3O2nN8T/3wrNs1LuqWUFR7vnR0jrPlJhZgz6T7qPmysvoPmc29QO3YN5pZ7Fk+KimP9gMoy84i759+/LGm2+wyyd3oaqqqlGAjDzmcK6+/C8MHjSY+ybey03jx7Fq1Sp2+/TuXDD6QioqKhoN7+CR+zP8sCP4x5RnAfjdLy9n6yHb8OgTj/Dnv1zJqvpVVPet5rcX/xc1mw7gj9dczodzP+T92ln0q+7Hf5x2Fj897wyWL08u+zzv7DHsudtn+ceUZ/njNZezaf8a3nz7DQ496It8YoeduHH8OFauWMFVv7uGrYZszfwFH3HBJT+n9oPkcdbnnHkeAzfbnPF33UK3bhVMmHQv5/30ArbbZvt1yn1296Hr1Od3l/yhYdp+MvpHfHnkVzhwv4Ma5t1BBxzMLp/atWCd0+6ecCdTp73G+Wf/AoDvn/4dTv7W9/jc0L156pkn+eM1l1NXV8eQwVvxqzG/oWqjKn57xa959IlHqKioYL+99+fs/1ifBxSu5aAw62T6TLqPgRefQ7cVyc6nxwe1DLw42VG0dFjMfPcdxv35JioqKvjjNZcXLPOvd6Yz6cH7ufXaO+jRowdjfnUe/zPpPo4a+ZV1ym5c1Yc7b7yXe++/m0t+exHX/OFaPrv7UG6/4W4kccc9t/GXG8Yy+oxzAXh92lRuufZ2KisrWb58Odf/6SZ69erFzP97hzPOOZ27b04uAX3z7WlMvPMhqvv25QtfGsbRRx3DnTfeyw23XM9Nt93Auf95Pr+87EJO/PrJDN3j36id/T7fOe0kJt31EMd99euNAvDMc04vWC6/PmlHHDaSiQ8+wIH7HUTdqjqeef5pxvzsIkIIRevclPkL5vPna6/k+j/fxEa9N2LsuKu5/uZr+eaxJ/DQ4w/yt7seRhKLlywubWFmcFCYdTI1V17WEBI53VYsp+bKy1o8KA4/ZMQ6LYN8zzz3NFOnTeVrJxwFwIqVK9i0/6YFy478YnIzzyO+eCS/+n3yyPcP5szmP0b/iLnzPqSufhWDBw1pKH/wgV9o2CnX16/iwt+M4c233qBbRQUz332nodyuu3yGzQZsBsBWg7di3733B+ATO+zU0IJ5+rmnmf7O9IbPLF22lKXLlq5Tx6xy6fqkHbDvMC7+7YXU1a3kiaefYOge/0ZlZSVLliwuWuemvPLaS0yfMZ3jTz4agFWrVrH7Z/Zg46qN6dWzF+deNJph+x3EsP0PLnmYxTgozDqZ7nNmN+v9DdG7d++G1xUV3VkT1jR0r1y5Ekh+5PXlkV/hzB/9tOkBNrpuM3l98WW/4KRvfIcvHHgI/5jyLFeOXXtIp3flRg2vx91yHTX9a7hv/ETWrFnDZz7/qYZ+6ZPt3bp1o2fPng2vV6+uB2DNmjXcdv1dBXf0aVnl0vVJ69WrF3t99nM8+cyTTHrwfo44/EtN1jmnont31qxJzde6OF+Bfffel99fcsU6n7nzxnt45rmneeDB+7n5tpu48Zq/Zk5TU3x5rFknUz9wi2a931K2HDSYN958HUgOwcyqfQ+Affb6PJMfmcRH8+cBsHDRQt6f/X7BYUx68H4AJj70AHt8Zg8AlixdwsDNBgJw7/13FR3/kqVLGFCzGd26deO+ifewevXqZtV/v7334+bbb2zonvbWGwBUbbQxyz5e2mS5phxx2EjunnAnU16ewn777F9ynbfcYkvefHsaa9asYfYHtbz6+qsA7L7r7rz48gu8+95MAJYvX847785g2cfLWLJ0CQfudxDnnHkeb75dWv2yOCjMOpl5p53Fmsrejd5bU9mbeaed1arj/eLBh7No0UJGHX8Et975V7bZalsAdthuR37ygzM5+YcncuSxwzn5Bycwd96HBYdRt6qOo0/4Mjfeej0/O/PnAJx2yumcfvZpfP07x1Bd3b/o+L9+9De55/67OObErzDz3XfYqHfhb/fFnHvWBUx94zWOPHY4I752GLfelXwLP+iAg3nosQcZdfwRTHnpuaLlmrLv3vsz5aXn+Pxen29o4ZRS58/uPpQtBw3myGOH8+vLf8Uun9wFgP79NuVXYy7jjHNO58hjh3PMSV9hxswZLFu2jO//5LsceexwvvW94/jZGT9v1nwopFM+M7tvRU3wg4usMxl9x8kMGjC45PJtcdVTSzt45P7cedN9Db/PsNZTO3cWlx59XaP3Ji8Z90IIYWih8j5HYdYJLRk+qt0Hg3UcDgozaxcevf/JclfBivA5CrMOIITk6iGzDRVCoLmrkoPCrAOYM2MeK1evcFjYBgkhsHL1CubMmNesz/nQk1kHcMelD3H0aPyEO9sg6SfcNYeDwqwDWLZwebOeSGbWknzoyczMMjkozMwsk4PCzMwyOSjMzCyTg8LMzDI5KMzMLJODwszMMjkozMwsU1mDQtJ1kj6UNLVIf0m6QtJ0Sa9K2rOt62hm1tWVu0UxDjg8o/9wYMf4dwrw5zaok5mZpZQ1KEIITwDzM4qMAm4MiWeBakmt+zxHMzNrpNwtiqZsCbyX6p4V31uHpFMkTZE0pS6saJPKmZl1Be09KArdJ7PgfZZDCGNDCENDCEN7qrKVq2Vm1nW096CYBQxJdQ8GastUFzOzLqm9B8UE4IR49dPewKIQwuxyV8rMrCsp6/MoJN0KDANqJM0CLgB6AIQQrgYmAiOA6cDHwLfLU1PLGVb3L769+hUG1C9mbvdNGNd/fx7fZOfMz4Q5c9uodmbWGsoaFCGE45voH4AftlF1LIMGDmDY4jc4fekzVIZ6AAbWL+b0uZMBMsNCAwc0vHZomHU8fsKdFZXewQOcNP/JhpDIqQz1nLTwKR7efu+iw+k+d/E6w3RgmHUcDgorKD8k6gdswoDpiwuWHVC3iJU1vQr26zVvJfUDNmnozoWGA8Os43BQWCOFAiLnw97VbL584TqfmVPVjxX9K4oMcW2ApEMjHRgOC7P2rb1f9WRtKB0S9QM2adipr6zpxcqaXlw1dATLK3o0+szy7j347RdHsHhbNfyt6Jf661/RECK54eSGX2i8Ztb+uEVhwLohATTs1HM7+vu2H0pdlfjxMxPZYtECavtV89uRw5kwdA9gTcPn6/pBzwXJd5C6atFzIUAyjMr5q1lZ06uhdeGWhVn756CwRgqFxIp+yQ/k66rhjuF7cMfwPVhTvfakdlXfJY2GsWxRb1ZUQ7eFudWrG2t/ZF/hsDDrYBwUts6hn2IhUddvDWuq66nquxyAQX0XFR5g30XULuoLfZPQqKM7a49yiqywMLP2x0HRxRU65AQ0OjmdHxK5gNi+zzwAPlW19sfy05Zt0dDvX0tqqAWWkYRF7nBUEj5JWBSqj1sVZu2Lg8IaSV/muqKfCobE9n3mNYTDrpXvNfr8rpXv8dqKIY3eS4cFdIvnLNaOr9e8la01OWbWAhwUBhRvTeRkhcSuPZc2lHutbuOGsEi3NGqB5Qv7NBrmiv5rWxU+/GTWfvnyWCsovzWRr1BIpLvzWxoAa6rrqeu3pmH4ZtYxOCiszdVVl7sGZtYcDgprUz0XJOcoKhcUfP6UmbVDDgorqHJBoOfCZMe+9vcQa+VOWL9Wt3Hj92P3ayuGMG3ZFsmVT4v6smxR73WGU+iqJzNrf3wy24Dk3ku5E9qV81evc0J72aLeGY8WXHs+Ihcguctkm5K74sknss3aLweFNdJr3spGl8gml7J2o47uLKNwWBQKhX8tqQFo1Joo5bCTf0Nh1v44KLq4MGduwZvyJYeFkl9mlxIWabWL+gJJKwQoGBKV81e7NWHWQTgorEHu8FOuVVEsLJYv7MOa6nr+GYOgmFxAACWFhFsTZu2Tg8IatSqKhUVC9FzYLbm8dUHPht9E5MuFA9DwK+zKBaHh5LV/iW3WsTgoDCgeFoncOYu1gQHQc2H2RXPpcxH5IZF/uMmtCbP2y0FhDfLDAigYGJXzC9/mI1/68td0K8KHm8w6FgeFNZJ/crtwYED6EafF5B9icivCrGNyUNg6cjvwQoEBhUKjuEJXNDkgzDoWB4UVVSgwYP0vZ3VAmHVMDgprUv4OvtDvLkr5nJl1TA4KazYHgFnX4psCmplZprIGhaTDJb0labqk0QX6D5O0SNLL8e/8ctTTzKwrK9uhJ0kVwFXAocAs4HlJE0IIb+QVfTKEMLLNK2hmZkB5WxR7AdNDCDNCCHXAeGBUGetjZmYFlDMotiT9IIOkVbFlgXL7SHpF0iRJuxQbmKRTJE2RNKUurGjpupqZdVnlvOpJBd7Lf1DBi8DWIYSlkkYA9wI7FhpYCGEsMBagb0WNn7NpZtZCytmimAUMSXUPhsaPOgghLA4hLI2vJwI9JNW0XRXNzKycQfE8sKOkbSX1BI4DJqQLSNpckuLrvUjq+1Gb19TMrAsr26GnEEK9pNOAyST3r74uhPC6pFNj/6uBrwH/LqkeWA4cF0LwYSUzszakzrjf7VtRE/apOrLc1TAz6zAmLxn3QghhaKF+/mW2mZllclCYmVkmB4WZmWVyUJiZWSYHhZmZZXJQmJlZJgeFmZllclCYmVkmB4WZmWVyUJiZWSYHhZmZZXJQmJlZJgeFmZllclCYmVkmB4WZmWVyUJiZWSYHhZmZZXJQmJlZJgeFmZllclCYmVkmB4WZmWUqKSgkfULSI5Kmxu7PSPp561bNzMzag1JbFP8N/AxYBRBCeBU4rrUqZWZm7UepQbFRCOG5vPfqW7oyZmbW/pQaFPMkbQ8EAElfA2a3Wq3MzKzd6F5iuR8CY4FPSnofeAf4RqvVyszM2o2SgiKEMAM4RFIV0C2EsKR1q2VmZu1FqVc9bSrpCuBJ4HFJf5C0aetWzczM2oNSz1GMB+YCXwW+Fl/ftqEjl3S4pLckTZc0ukB/Sboi9n9V0p4bOk4zM2ueUoOifwjhohDCO/HvYqB6Q0YsqQK4ChgO7AwcL2nnvGLDgR3j3ynAnzdknGZm1nylBsVjko6T1C3+HQM8sIHj3guYHkKYEUKoI2m1jMorMwq4MSSeBaolbbGB4zUzs2YoNSi+D9wC1MW/8cAZkpZIWrye494SeC/VPSu+19wyAEg6RdIUSVPqwor1rJKZmeUr9aqnPq0wbhUa1XqUSd4MYSzJJbz0ragpWMbMzJqv1N9RIOlLwAGx8/EQwv0bOO5ZwJBU92Cgdj3KmJlZKyr18thLgdOBN+Lf6fG9DfE8sKOkbSX1JLl31IS8MhOAE+LVT3sDi0II/kW4mVkbKrVFMQLYPYSwBkDSDcBLwDqXtJYqhFAv6TRgMlABXBdCeF3SqbH/1cDEOO7pwMfAt9d3fGZmtn5KPvREcjns/Pi6b0uMPIQwkSQM0u9dnXodSG4fYmZmZVJqUPwKeEnSYyQnmA8gue24mZl1cqVe9XSrpMeBfyMJirNDCB+0ZsXMzKx9yAyKArfMmBX/D5I0KITwYutUy8zM2oumWhS/I/ndQu73DPm/Tzi4xWtkZmbtSlNBcTbwXu6SVEknktwYcCYwplVrZmZm7UJTv6O4GlgJIOkAkpPaNwCLiL+CNjOzzq2pFkVFCCF3SeyxwNgQwl3AXZJebt2qmZlZe9BUi6JCUi5MvgA8murXnN9gmJlZB9XUzv5W4H8lzQOWkzzhDkk7kBx+MjOzTi4zKEIIv5T0CLAF8GD8pTQkLZEftXblzMys/Jo8fBQfGJT/3tutUx0zM2tvSn1wkZmZdVEOCjMzy+SgMDOzTA4KMzPL5KAwM7NMDgozM8vkoDAzs0wOCjMzy+SgMDOzTA4KMzPL5KAwM7NMDgozM8vkoDAzs0wOCjMzy+SgMDOzTA4KMzPLVJbnXkvqD9wGbAPMBI4JISwoUG4msARYDdSHEIa2XS3NzAzK16IYDTwSQtgReCR2F3NQCGF3h4SZWXmUKyhGATfE1zcAR5WpHmZm1oRyBcXAEMJsgPh/syLlAvCgpBcknZI1QEmnSJoiaUpdWNHC1TUz67pa7RyFpIeBzQv0OrcZg9k3hFAraTPgIUlvhhCeKFQwhDAWGAvQt6ImNLvCZmZWUKsFRQjhkGL9JM2RtEUIYbakLYAPiwyjNv7/UNI9wF5AwaAwM7PWUa5DTxOAE+PrE4H78gtIqpLUJ/caOAyY2mY1NDMzoHxBcSlwqKR/AofGbiQNkjQxlhkIPCXpFeA54IEQwt/KUlszsy6sLL+jCCF8BHyhwPu1wIj4egawWxtXzczM8viX2WZmlslBYWZmmRwUZmaWyUFhZmaZHBRmZpbJQWFmZpkcFGZmlslBYWZmmRwUZmaWyUFhZmaZHBRmZpbJQWFmZpkcFGZmlslBYWZmmRwUZmaWyUFhZmaZHBRmZpbJQWFmZpkcFGZmlslBYWZmmRwUZmaWyUFhZmaZHBRmZpbJQWFmZpkcFGZmlslBYWZmmRwUZmaWqSxBIeloSa9LWiNpaEa5wyW9JWm6pNFtWUczM0uUq0UxFfgK8ESxApIqgKuA4cDOwPGSdm6b6pmZWU73cow0hDANQFJWsb2A6SGEGbHseGAU8EarV9DMzBq053MUWwLvpbpnxfcKknSKpEvAs4cAAAcvSURBVCmSptSFFa1eOTOzrqLVWhSSHgY2L9Dr3BDCfaUMosB7oVjhEMJYYCxA34qaouXMzKx5Wi0oQgiHbOAgZgFDUt2DgdoNHKaZmTVTez709Dywo6RtJfUEjgMmlLlOZmZdTrkuj/2ypFnAPsADkibH9wdJmggQQqgHTgMmA9OA20MIr5ejvmZmXVm5rnq6B7inwPu1wIhU90RgYhtWzczM8rTnQ09mZtYOOCjMzCyTg8LMzDI5KMzMLJODwszMMjkozMwsk4PCzMwyOSjMzCyTg8LMzDI5KMzMLJODwszMMjkozMwsk4PCzMwyOSjMzCyTg8LMzDI5KMzMLJODwszMMjkozMwsk4PCzMwyOSjMzCyTg8LMzDI5KMzMLJODwszMMjkozMwsk4PCzMwyOSjMzCyTg8LMzDI5KMzMLFNZgkLS0ZJel7RG0tCMcjMlvSbpZUlT2rKOZmaW6F6m8U4FvgJcU0LZg0II81q5PmZmVkRZgiKEMA1AUjlGb2ZmzVCuFkWpAvCgpABcE0IYW6ygpFOAU2LnyslLxk1tiwqWSQ3QmVtZnr6OzdPXMW1drEerBYWkh4HNC/Q6N4RwX4mD2TeEUCtpM+AhSW+GEJ4oVDCGyNg47ikhhKLnPjo6T1/H5unr2Dr79BXSakERQjikBYZRG/9/KOkeYC+gYFCYmVnraLeXx0qqktQn9xo4jOQkuJmZtaFyXR77ZUmzgH2AByRNju8PkjQxFhsIPCXpFeA54IEQwt9KHEXRcxmdhKevY/P0dWydffrWoRBCuetgZmbtWLs99GRmZu2Dg8LMzDJ1+KDo7LcDacb0HS7pLUnTJY1uyzpuCEn9JT0k6Z/xf78i5TrU8mtqeShxRez/qqQ9y1HP9VXC9A2TtCgur5clnV+Oeq4vSddJ+lBSwQtoOvrya7YQQof+Az4F7AQ8DgzNKDcTqCl3fVtj+oAK4F/AdkBP4BVg53LXvcTp+w0wOr4eDfy6oy+/UpYHMAKYBAjYG/hHuevdwtM3DLi/3HXdgGk8ANgTmFqkf4ddfuvz1+FbFCGEaSGEt8pdj9ZS4vTtBUwPIcwIIdQB44FRrV+7FjEKuCG+vgE4qox1aSmlLI9RwI0h8SxQLWmLtq7oeurI61tJQvLD3vkZRTry8mu2Dh8UzZC7HcgL8XYfncmWwHup7lnxvY5gYAhhNkD8v1mRch1p+ZWyPDryMiu17vtIekXSJEm7tE3V2kxHXn7N1t7v9QS0/e1A2loLTF+huyu2m+ues6avGYNpt8uvgFKWR7teZk0ope4vAluHEJZKGgHcC+zY6jVrOx15+TVbhwiK0MlvB9IC0zcLGJLqHgzUbuAwW0zW9EmaI2mLEMLs2HT/sMgw2u3yK6CU5dGul1kTmqx7CGFx6vVESX+SVBM6zyMDOvLya7YuceipC9wO5HlgR0nbSuoJHAdMKHOdSjUBODG+PhFYpwXVAZdfKctjAnBCvHpmb2BR7hBcB9Dk9EnaXPE5ApL2ItnXfNTmNW09HXn5NV+5z6Zv6B/wZZJ0XwnMASbH9wcBE+Pr7UiuzHgFeJ3kkE7Z695S0xe7RwBvk1yN0pGmb1PgEeCf8X//zrD8Ci0P4FTg1PhawFWx/2tkXLHXHv9KmL7T4rJ6BXgW+Hy569zM6bsVmA2sitvfdzrT8mvun2/hYWZmmbrEoSczM1t/DgozM8vkoDAzs0wOCjMzy+SgMDOzTA4KsyIkLS2hzE8kbdQW9Skw7mpJPyjHuK1rcVCYbZifAM0KCkkVLTTuasBBYa3OQWHWhPhshccl3SnpTUl/jb/I/THJDwMfk/RYLHuYpGckvSjpDkkbx/dnSjpf0lPA0fF5Di/Gm+Y9EstUxecgPC/pJUmj4vsnSbpP0t/iMyAuiFW7FNg+Pu/hsjafMdZldIh7PZm1A3sAu5Dcz+fvJDcpvELSGcBBIYR5kmqAnwOHhBCWSTobOAO4MA5jRQhhP0kDSG6ad0AI4R1J/WP/c4FHQwgnS6oGnos3VITk3lafBj4Gnpf0AMnzOz4dQti91afeujQHhVlpngshzAKQ9DKwDfBUXpm9gZ2Bv8fbHPUEnkn1vy1V7okQwjsAIYTccw8OA74k6T9jdyWwVXz9UAjhozj+u4H9SO7IatbqHBRmpVmZer2awtuOSHboxxcZxrJUuUL3zhHw1ZD3oCpJnytQ3vfesTbjcxRmG2YJ0Ce+fhbYV9IOAJI2kvSJAp95BjhQ0raxXO7Q02TgR6m7ru6R+syhSp4v3pvkKYB/zxu3WatxUJhtmLHAJEmPhRDmAicBt0p6lSQ4Ppn/gVjuFOBuSa+w9pDURUAP4FVJU2N3zlPATcDLwF0hhCnxUNTfJU31yWxrTb57rFk7J+kkkttYn1buuljX5BaFmZllcovCzMwyuUVhZmaZHBRmZpbJQWFmZpkcFGZmlslBYWZmmf4fR45r/MsAKlQAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "n_points_lst = [1, 5, 10, 50, 100, 200, 500, 1000]\n", + "previous_n_points = 0\n", + "for n_points in n_points_lst:\n", + " train_features = features[previous_n_points:n_points]\n", + " train_labels = noise_corrupted_labels[previous_n_points:n_points]\n", + " blr.update_posterior(train_features, train_labels)\n", + " \n", + " # Visualize updated parameter posterior distribution\n", + " plot_param_posterior(lower_bound, \n", + " upper_bound, \n", + " blr, \n", + " title=f\"Updated parameter distribution using {n_points} datapoints\")\n", + " \n", + " previous_n_points = n_points" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.5 Step 3: Posterior predictive distribution \n", + " \n", + "Given the posterior distribution over the parameters we can determine the predictive distribution (= posterior over the outputs) for a new input $(\\boldsymbol{x}_*, y_*)$. This is the distribution we are really interested in. A trained model is not particularly useful when we can't use it to make predictions, right?\n", + "\n", + "The posterior predictive distribution looks as follows:\n", + "\n", + "$$\n", + "\\begin{aligned}\n", + "p\\left(y_{*} \\mid \\mathcal{X}, \\mathcal{Y}, \\boldsymbol{x}_{*}\\right) &=\\int p\\left(y_{*} \\mid \\boldsymbol{x}_{*}, \\boldsymbol{\\theta}\\right) p(\\boldsymbol{\\theta} \\mid \\mathcal{X}, \\mathcal{Y}) \\mathrm{d} \\boldsymbol{\\theta} \\\\\n", + "&=\\int \\mathcal{N}\\left(y_{*} \\mid \\boldsymbol{\\phi}^{\\top}\\left(\\boldsymbol{x}_{*}\\right) \\boldsymbol{\\theta}, \\sigma^{2}\\right) \\mathcal{N}\\left(\\boldsymbol{\\theta} \\mid \\boldsymbol{m}_{N}, \\boldsymbol{S}_{N}\\right) \\mathrm{d} \\boldsymbol{\\theta} \\\\\n", + "&=\\mathcal{N}\\left(y_{*} \\mid \\boldsymbol{\\phi}^{\\top}\\left(\\boldsymbol{x}_{*}\\right) \\boldsymbol{m}_{N}, \\boldsymbol{\\phi}^{\\top}\\left(\\boldsymbol{x}_{*}\\right) \\boldsymbol{S}_{N} \\boldsymbol{\\phi}\\left(\\boldsymbol{x}_{*}\\right)+\\sigma^{2}\\right)\n", + "\\end{aligned}\n", + "$$\n", + "\n", + "First of all: note that the predictive posterior for a new input $\\boldsymbol{x}_{*}$ is a *univariate* Gaussian distribution. We can see that the mean of the distribution is given by the product of the design matrix for the new example ($\\boldsymbol{\\phi}^{\\top}\\left(\\boldsymbol{x}_{*}\\right)$) and the mean of the parameter posterior ($\\boldsymbol{m}_{N}$). The variance $(\\boldsymbol{\\phi}^{\\top}\\left(\\boldsymbol{x}_{*}\\right) \\boldsymbol{S}_{N} \\boldsymbol{\\phi}\\left(\\boldsymbol{x}_{*}\\right)+\\sigma^{2}$) of the predictive posterior has two parts:\n", + "1. $\\sigma^{2}$: The variance of the noise \n", + "2. $\\boldsymbol{\\phi}^{\\top}\\left(\\boldsymbol{x}_{*}\\right) \\boldsymbol{S}_{N} \\boldsymbol{\\phi}\\left(\\boldsymbol{x}_{*}\\right)$: The posterior uncertainty associated with the parameters $\\boldsymbol{\\theta}$\n", + "\n", + "Let's add a `predict` method to our `BayesianLinearRegression` class which computes the predictive posterior for a new input (you will find the method in the class definition above):" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "def predict(self, features: np.ndarray):\n", + " \"\"\"\n", + " Compute predictive posterior given new datapoint\n", + "\n", + " Args:\n", + " features: 1d numpy array of features\n", + " Returns:\n", + " pred_posterior: predictive posterior distribution\n", + " \"\"\"\n", + " design_matrix = self.compute_design_matrix(features)\n", + "\n", + " pred_mean = design_matrix.dot(self.post_mean)\n", + " pred_cov = design_matrix.dot(self.post_cov.dot(design_matrix.T)) + self.noise_var\n", + "\n", + " pred_posterior = univariate_normal(pred_mean.flatten(), pred_cov)\n", + " return pred_posterior" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.6 Visualizing the predictive posterior \n", + "\n", + "Our original dataset follows a simple linear function. After training the model it should be able to predict labels for new datapoints, even if they lie beyond the range from [-1.5, 1.5]. But how can we get from the predictive distribution that our model computes to actual labels? That's easy: we *sample* from the predictive posterior.\n", + "\n", + "To make sure that we are all on the same page: given a new input example our Bayesian linear regression model predicts not a single label but a *distribution* over possible labels. This distribution is Gaussian. We can get actual labels by sampling from this distribution. \n", + "\n", + "The code below implements and visualizes this:\n", + "- We create some test features for which we want predictions\n", + "- Each feature is given to the trained BLR model which returns a univariate Gaussian distribution over possible labels (`pred_posterior = blr.predict(np.array([feat]))`)\n", + "- We sample from this distribution (`sample_predicted_labels = pred_posterior.rvs(size=sample_size)`)\n", + "- The predicted labels are saved in a format that makes it easy to plot them\n", + "- Finally, we plot each input feature, its true label and the sampled predictions. Remember: the samples are generated from the predictive posterior returned by the `predict` method. Think of a Gaussian distribution plotted along the y-axis for each feature. We visualize this with a histogram: more likely values close to the mean will be sampled more often than less likely values." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWAAAAFuCAYAAAC/a8I8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3de5yWdZ3/8ddbwDgmiCAJIppnSUEHJW3LFkzKU+uxZFvZ1h1tD1lmarG7uZv8KrOtX6uldPjVrlNpaqYJpVi6HtIYCfGAGh5AkgRBkIMkMJ/fH9c1eM8wh3uY+76/M/f9fj4e85j7vo6f6zsz77nu73VSRGBmZpW3S+oCzMxqlQPYzCwRB7CZWSIOYDOzRBzAZmaJOIDNzBJxAFc5ST+QdGX++i8kPbOTy7lO0r+WtrqeS9LnJX23jMu/V9L5+evpku4q4bKflHR8/voKSTeUcNllbZda0zd1AQaSXgT2BLYBG4E5wD9HxIZSrici7gcOKqKeGcD5EfGegnkvLGUt5STpB8DyiPiXnV1GRPyf0lXU6boagIbOpit2uyLisFLUlYf4DRExpmDZFWuXWuA94J7jlIgYDBwJTAJ2+COT5H+YFdCddk75M/LvR+/jAO5hIuKPwFxgPICkkPSPkv4A/CEfdrKkhZLWSnpI0uHN80uaKGmBpPWSbgT6F4w7XtLygvd7S7pV0ipJqyVdI+kQ4Drg3ZI2SFqbT1vYlbFY0skFy+kr6VVJR+bvJ+d1rZX0WPPH4bZIelHS5yQ9Jek1Sf9PUmHNfy9piaQ1km6XtFc+XJK+LmmlpHWSFkkaL6kemA5cmtd/Rz79XpJuybf1BUmfLFjHFZJulnSDpNeBGa0/uks6Nf9ovzbvPjik1TZcJmkRsLGtIJR0gqSn81qvAVQwboakB3Zyu3ZYdz5sasHq+0u6Mf+dWCDpiIJ1h6T9C97/QNKVkgaR/R7ula9vQ96GXW2XS/JtWJfX0D8ft4ekX+TzrZF0v6Say6Oa2+CeTtLewIeA3xcM/jBwDHBoHnLfBy4AhgPXA7dLepukXYHbgP8Bdgd+CpzRznr6AL8AlgLjgNHATyJiMXAh8NuIGBwRQ9uY/cfARwvenwi8GhELJI0G7gSuzGu4BLhF0ogONnt6vox3AgeS7/1L+kvgS8DZwDvyWn+Sz/MB4L359EOBc4DVETGb7OP8VXn9p+R/2HcAj+XbOQX4lKQTC2o4Dbg5X1aL7gBJB+bb/ClgBFkX0R15ezf7KHASMDQitraafw/glny79gCeA45rpy2K3q5i1l2wbT8l+3n8CLhNUr921g9ARGwEPgi8nK9vcES83Gq7immXs4FpwL7A4cCMfPhngOX5fHsCnwdq7r4IDuCe47Z8b/MB4D6gsK/tSxGxJiLeAP4euD4iHomIbRHxQ+DPwOT8qx/wjYjYEhE3A/PbWd/RwF7AZyNiY0RsjogHiqz1R8Cpkgbm78/NhwH8NTAnIuZERFNE3A00kv1Tac81EfFSRKwBZvFWuE8Hvh8RCyLiz8DnyPbMxwFbgCHAwYAiYnFErGhn+ZOAERHxHxHxZkQ8D3wH+EjBNL+NiNvymt9oNf85wJ0RcXdEbAGuBgYAxxZM8818G1rPS77tT0XEzfn83wD+1E6tXdmuYtYN8GjBuv+T7FPR5E6WWYxi2+Xl/Gd7BzAhH76F7J/qPvnv6v1RgzemcQD3HB+OiKERsU9E/EOrP6aXCl7vA3wm/+i2Ng/tvcnCdC/gj61+kZe2s769gaXt7DF1KCKWAIuBU/IQPpW3Angf4KxW9b2H7I+tPYXbtzTfDvLv2+vPD0quBkZHxK+Ba4BrgVckzZb09naWvw/ZR+nCmj5PtufVVg2tta6jKZ9+dBfm3z4+//m0OX0Xt6uYdbcYn9e+nLfauDuKaZfCfzSbgMH5668CS4C7JD0v6fIS1NPrOIB7h8JAfQmYlYd189fAiPgxsAIYLUkF049tZ5kvAWPb6q+kuI+Czd0Qp5Ht3S0pWO7/tKpvUER8uYNl7d2q3uaPui+ThScAeb/kcOCPABHxzYg4CjiM7CP7Z9up/yXghVY1DYmIwr3yjra5dR3Ka/5jkfOvKNzGgvnb1IXtKmbdtFr3LsAY3mrjTcDAgmlHdWG5xbRLmyJifUR8JiL2A04BLpY0pbP5qo0DuPf5DnChpGPyAzaDJJ0kaQjwW2Ar8Mn8YMzpZF0NbfkdWTB8OV9Gf0nN/ZKvAGNa9eW19hOy/spP8NbeL8ANZHvGJ0rqky/3eElj2lxK5h8ljZG0O9me6Y358B8BfytpgqS3kXXLPBIRL0qalLdBP7JT9zaTncbXXP9+rbb19fxg1YC8rvGSJnVQU6GbgJMkTcnX9xmybp+Hipz/TuAwSafn//A+Scug266L21WsowrW/am89ofzcQuBc/M2mQa8r2C+V4DhknZrZ7k73S7KDiTvn4f262TbuK2T2aqOA7iXiYhGsn7ga4DXyD7GzcjHvQmcnr9/jayP7tZ2lrONbM9jf2AZ2cfSc/LRvwaeBP4k6dV25l9BFvjH8lZgEhEvke0Vfx5YRbb3+Vk6/l37EXAX8Hz+dWW+rHuAfyU7gLWC7CBdc7/t28n+Gb1G9jF4NVkfJMD3yA5YrpV0W8G2TgBeAF4Fvgu0Fyytt/UZsr7t/8rnPYXstME3i5z/VeAs4Mt5nQcAD7YzedHbVcy6cz8n+9m+BnwMOD3vswW4KN+etWR97tuXGxFPk33SeT5fZ4tui262ywHAPGAD2e/RtyLi3i5sU1VQDfZ7Ww+i7CKU8yNiXupazCrNe8BmZok4gM3MEnEXhJlZIsn2gPOj479Tdqnqk5L+PVUtZmYpJNsDzk8/GRQRG/JTWB4ALoqIhzuZ1cysKiS7e1J+NVDz7Rb75V8d/jeYNm1a/PKXvyx3aWZmpaa2BiY9CJef/L0QWAncHRGPtDFNvaRGSY2LFy+ufJFmZmWSNIDzm8lMILs08mhJ49uYZnZE1EVE3YgRHd1Qy8ysd+kRp6FFxFrgXrLb1pmZ1YSUZ0GMkDQ0fz0AmAo8naoeM7NKS/kIk3cAP8xvDL4LcFNE/CJhPWZVZ8uWLSxfvpzNmzenLqUm9O/fnzFjxtCvX4f3u98u5VkQi4CJqdZvVguWL1/OkCFDGDduHC3vUmqlFhGsXr2a5cuXs++++xY1T4/oAzaz8ti8eTPDhw93+FaAJIYPH96lTxsOYLMq5/CtnK62tQPYzMpm9erVTJgwgQkTJjBq1ChGjx69/f2bbxZ1O+WSO/7442lsbEyy7tZSHoQzsyo3fPhwFi5cCMAVV1zB4MGDueSSS7aP37p1K3371m4MeQ/YzN7S0ADjxsEuu2TfGxpKvooZM2Zw8cUX8/73v5/LLruMK664gquvvnr7+PHjx/Piiy8CcMMNN3D00UczYcIELrjgArZta/nUorlz53L22Wdvf3/vvfdyyimnAPCJT3yCuro6DjvsML7whS+0WcvgwYO3v7755puZMWMGAKtWreKMM85g0qRJTJo0iQcfzB5gct99923fg584cSLr16/vVls4gM0s09AA9fWwdClEZN/r68sSws8++yzz5s3ja1/7WrvTLF68mBtvvJEHH3yQhQsX0qdPHxpa1XLCCSfw8MMPs3HjRgBuvPFGzjkne7LWrFmzaGxsZNGiRdx3330sWrSo6PouuugiPv3pTzN//nxuueUWzj//fACuvvpqrr32WhYuXMj999/PgAEDurrpLdTuvr+ZtTRzJmza1HLYpk3Z8OnTS7qqs846iz59+nQ4zT333MOjjz7KpEnZs1PfeOMNRo4c2WKavn37Mm3aNO644w7OPPNM7rzzTq666ioAbrrpJmbPns3WrVtZsWIFTz31FKP3O5Qt24K1m7ayesNWgO3f12/exp+3NLF6w1buvnsejz/x5Pb1rF33Oi+ueI3jjjuOiy++mOnTp3P66aczZkxHz5rtnAPYzDLLlnVteDcMGjRo++u+ffvS1NS0/X3zaVwRwXnnnceXvvSlDpd1zjnncO2117L77rszadIkhgwZwgsvvMDVV1/N/PnzGTZsGDNmzGj79LCCsxYKxzc1NTH3ngd22MO9/PLLOemkk5gzZw6TJ09m3rx5HHzwwV3a9kLugjCzzNixXRteIuPGjWPBggUALFiwgBdeeAGAKVOmcPPNN7Ny5UoA1qxZw9KlS3eY//jjj2fBggV85zvf2d798PrrrzNo0CB22203XnnlFebOndvmukeO3JNnn15MU1MTc+74+VvLnHIC373+W9vfP74oO5D43HPP8a53vYvLLruMuro6nn66e3dPcACbWWbWLBg4sOWwgQOz4WV0xhlnsGbNGiZMmMC3v/1tDjzwQAAOPfRQrrzySj7wgQ9w+OGHc8IJJ7BixYod5u/Tpw8nn3wyc+fO5eSTTwbgiCOOYOLEiRx22GF8/OMf57jjjmtz3f/677M49+wP8+GTTmDPUaO2D//SVV9n4e8f5b2TJ3Js3eH84HuzAfjGN77B+PHjOeKIIxgwYAAf/OAHu7XtveqZcHV1ddFTzt8z6w0WL17MIYccUvwMDQ1Zn++yZdme76xZJe//Tam5v3dnDR/cea9tO23e5hUa7gM2s7dMn15VgdvTuQvCzCwRB7CZWSIOYLMq15uO8/R2XW1rB7BZFevfvz+rV692CFdA8/2A+/fvX/Q8PghnVsXGjBnD8uXLWbVqVepSeoSNf27qfKIOrHxbx/uszU/EKJYD2KyK9evXr+inM9SCH/12bbfmP3fC0BJVknEAm1nN2LClZ92c3n3AZmaJOIDNzBJxAJuZJeIANjNLxAFsZpaIA9jMLBEHsJlZIg5gM7NEHMBmZok4gM3MEvGlyGZWM1Zu7pO6hBa8B2xmlogD2MwskWQBLGlvSb+RtFjSk5IuSlWLmVkKKfuAtwKfiYgFkoYAj0q6OyKeSliTmVnFJNsDjogVEbEgf70eWAyMTlWPmVml9Yg+YEnjgInAI2krMTOrnOQBLGkwcAvwqYh4vY3x9ZIaJTX6uVZmVk2SBrCkfmTh2xARt7Y1TUTMjoi6iKgbMWJEZQs0MyujZAfhJAn4HrA4Iv4zVR1mterGh1/r1vznTB5WokpqV8qzII4DPgY8LmlhPuzzETEnYU1mVsV+/Hz3/un8C4NLVEkmWQBHxANAz3pEqZlZBSU/CGdmVqscwGZmiTiAzcwScQCbmSXiADYzS8QBbGaWiAPYzCwRB7CZWSIOYDOzRPxQTrMatXlb7V2IusuGNd1cwt4lqaOZ94DNzBJxAJuZJeIANjNLxAFsZpaIA9jMLBEHsJlZIg5gM7NEHMBmZok4gM3MEnEAm5kl4kuRzWrU1qbauxR56B9+080lHFGSOpp5D9jMLBEHsJlZIg5gM7NEHMBmZok4gM3MEnEAm5kl4gA2M0vEAWxmlogvxDADbn7ktW7Nf+Yxw0pUifVEU//QyAXz58B3LoaxY2HWLJg+vdvLdQCb1ahfr9q1W/P/XYnqqKho6vIsU5c8yqX3/5QBW7dkA5Yuhfr67HU3Q9hdEGZmHbhg/ty3wrfZpk0wc2a3l+0ANjPrwMgN7XRPLVvW7WUnDWBJ35e0UtITKeswM2vPysHt9O+PHdvtZafeA/4BMC1xDWZm7bp+0gd5o2+/lgMHDswOxHVT0gCOiP8F1qSswcysI/P2P4qr/uIs/jR4GEiwzz4we3ZtnAUhqR6oBxhbgl1+M7Oumrf/Uczb/yjun31xSZebuguiUxExOyLqIqJuxIgRqcsxMyuZHh/AZmbVygFsZpZI6tPQfgz8FjhI0nJJvfLiGjOznZH0IFxEfDTl+s1q2cJVq7u5hDElqaOS3hw2LnUJLbgLwswsEQewmVkiDmAzs0QcwGZmiTiAzcwScQCbmSXiADYzS8QBbGaWiAPYzCyRHn87Suu67j7hF/yUX7NKcACbAW82KXUJFff2Z+/r5hK6f0PyStv4znenLqEFd0GYmSXiADYzS8QBbGaWiAPYzCwRB7CZWSIOYDOzRBzAZmaJOIDNzBJxAJuZJeIr4aqQLyPuuiWv196fQr9lv+vmEnrflXDvHbVb6hJa8B6wmVkiDmAzs0QcwGZmiTiAzcwSqb0jD2bWoanLnqH+iYcYuWk9KwcOYfb4Y5k39qDUZVUlB7CZbTd12TNc+ug99N+2FYBRm9Zz6aP3ADiEy8BdEGa2Xf0TD20P32b9t22l/omHElVU3RzAZrbdyE3ruzTcuscBbGbbrRw4pEvDrXvcB1yFflqCh3Ke5avpatLs8ce26AMG2NynL7PHH5uwqurlADYDblvVvYdy/luJ6qikppEH7zDsrpEH0/T2d3Dhw7czcsMaVg7enesmn8q8A49OUGHpHTRka+cTVVDSAJY0Dfi/QB/guxHx5ZT1mBnMO/Doqgncni5ZH7CkPsC1wAeBQ4GPSjo0VT1mZpWW8iDc0cCSiHg+It4EfgKclrAeM7OKShnAo4GXCt4vz4eZmdWElAHc1lGP2GEiqV5So6TGVatWVaAsM7PKSBnAy4G9C96PAV5uPVFEzI6IuoioGzFiRMWKMzMrt5QBPB84QNK+knYFPgLcnrAeM7OKSnYaWkRslfRPwK/ITkP7fkQ8maoeM7NKS3oecETMAeakrMHMLBXfC8LMLBFfilyFmnY4l8Q6teThbi5gSknKqKR14yanLqHiRvRvSl1CC94DNjNLxAFsZpaIA9jMLBEHsJlZIg5gM7NEHMBmZok4gM3MEnEAm5kl4gA2M0vEV8JVoefX+8faVYNffKibS+h9V8INH3tI6hIq7tx3D01dQgsd/qVKOr2j8RFxa2nLMTOrHZ3tKp3SwbgAHMBmZjupwwCOiL+tVCFmZrWmqINwkvaU9D1Jc/P3h0r6u/KWZmZW3Yo9C+IHZE+u2Ct//yzwqXIUZGZWK4oN4D0i4iagCbLHCQHbylaVmVkNKDaAN0oaTv7YeEmTgXVlq8rMrAYUe8LoxWRPLH6npAeBEcCZZavKzKwGFBXAEbFA0vuAgwABz0TElrJWZmZW5YoKYEn9gX8A3kPWDXG/pOsiYnM5iyuFnz7yWrfmP+uYYSWqxHqkhgaYOZN7ly5l5aDdmH3kVObtd0TqqqxGFNsF8d/AeuC/8vcfBf4HOKscRVn3NK7zpchFaWiA+nrYtIldgFEb1/HZh24ndunHvP2PTF1d2U0ZujV1CTWv2L/UgyKicLfgN5IeK0dBZhUzcyZs2tRi0IBtW7ig8Zc1EcCWXrFnQfw+P/MBAEnHAA+WpySzClm2rM3BIzeurXAhVqs6uxnP42R9vv2Av5G0LH+/D/BU+cszK6OxY2Hp0h0GrxzUs+6YZdWrsy6IkytShVkKs2Zt7wNu9kafflxfNy1hUVZLOrsZT4vdA0kjgf5lrcisUqZPz77PnEnT0qWsHDSU6+umuf/XKqbY09BOBb5Gdi+IlWRdEIuBw8pXmlkFTJ8O06fzvvO/mroSq0HFHoT7IjAZeDYi9iW7/b8PwpmZdUOxAbwlIlYDu0jaJSJ+A0woY11mZlWv2POA10oaDPwv0CBpJeCzuM3MuqHYPeDTgDeATwO/BJ6j48cVmZlZJ4q9Gc/Ggrc/7O5KJZ0FXAEcAhwdEY3dXWZ7toXKtege65llz5VgKeNLsIze483d90ldQsUdsJs/xKbW2YUY68nvAdx6FBAR8fadXO8TwOnA9Ts5v5lZr9fZecBDyrHSiFgMINXe3qmZWbNi+4CTkVQvqVFS46pVq1KXY2ZWMmW7b6GkecCoNkbNjIifF7uciJgNzAaoq6trqzvEzKxXKlsAR8TUci3bzKwa9PguCDOzapUkgCX9laTlwLuBOyX9KkUdZmYpJXl2TUT8DPhZinWbmfUU7oIwM0uk6p/e2FSD500MfvmJEiyltq6E23jg+1KXUHF9VYN/HD2M94DNzBJxAJuZJeIANjNLxAFsZpaIA9jMLBEHsJlZIg5gM7NEHMBmZok4gM3MEnEAm5klUvWXIj/7etVv4g76rV2WuoRe5y/3LMvTt3q0M48ZlrqEmuc9YDOzRBzAZmaJOIDNzBKpvQ7SGjZ1yQIuaPwVIzeuZeWgoVxfdyLz9j8ydVlmNcsBXCOmLlnApQ/cyoBtWwAYtXEtlz5wK4BD2CwRd0HUiAsaf7U9fJsN2LaFCxr9OD6zVBzANWLkxrVdGm5m5ecArhErBw3t0nAzKz8HcI24vu5E3ujTr8WwN/r04/q6ExNVZGZVfxDutleaujX/FaUpo6K27DZmh2FzjxrDtoHD+cQDN7Hn+ld5ZcgefPs9Z3PXIcclqLDnOXjI1tQlWA2q+gC2t9x1yHEOXLMexF0QZmaJOIDNzBJxAJuZJeIANjNLxAFsZpaIA9jMLBEHsJlZIg5gM7NEkgSwpK9KelrSIkk/k+QbEphZzUl1JdzdwOciYqukrwCfAy4rx4re9uTd3VzCGSWpo5I2DxubuoRe5+27du+SdbOdkWQPOCLuiojmi+8fBna8eYGZWZXrCX3AHwfmpi7CzKzSytYFIWkeMKqNUTMj4uf5NDOBrUBDB8upB+oBxo71R2szqx5lC+CImNrReEnnAScDUyIiOljObGA2QF1dXbvTmZn1NkkOwkmaRnbQ7X0RsSlFDWZmqaXqA74GGALcLWmhpOsS1WFmlkySPeCI2D/Fes3MepKecBaEmVlNcgCbmSXiADYzS6TqH8q569qXUpdQce88+KjUJfQ6b+vjMxyt8rwHbGaWiAPYzCwRB7CZWSIOYDOzRBzAZmaJOIDNzBJxAJuZJeIANjNLxAFsZpZIdV8J19DATxuuYOTGdawctBuzJ05h3n6Hp66q7PYb4AdMdtVZxwxLXYLVoOoN4IYGqK9n1Kbsfu+jNq7j0t/eAVATIWxmPV/1dkHMnAmbWj5so/+2LdT//p5EBZmZtVS9AbxsWZuDR25cV+FCzMzaVr0B3M4TlFcO2q3ChZiZta16A3jWLBg4sMWgzX36MXvilEQFmZm1VL0H4aZPB+BPF/xjzZ0FYWa9Q/UGMMD06Zx915LUVZiZtal6uyDMzHo4B7CZWSIOYDOzRKq7Dxh4Y0ztPaBy4u5bUpdgZkXwHrCZWSIOYDOzRBzAZmaJOIDNzBJxAJuZJeIANjNLxAFsZpaIA9jMLJEkASzpi5IWSVoo6S5Je6Wow8wspVR7wF+NiMMjYgLwC+DfEtVhZpZMkkuRI+L1greDgCjXut7Yd1K5Ft1j9VHZmtPMSijZvSAkzQL+BlgHvL+D6eqBeoCx7TxmyMysNypbF4SkeZKeaOPrNICImBkRewMNwD+1t5yImB0RdRFRN2LEiHKVa2ZWcWXbA46IqUVO+iPgTuAL5arFzKwnSnUWxAEFb08Fnk5Rh5lZSqn6gL8s6SCgCVgKXJioDjOzZFKdBXFGivWamfUkvhLOzCwRB7CZWSIOYDOzRKr+oZwnjhqcuoSKO2fysNQlmFkRvAdsZpaIA9jMLBEHsJlZIg5gM7NEHMBmZok4gM3MEnEAm5kl4gA2M0vEAWxmlogD2Mwskaq/FPnwYVtSl2Bm1ibvAZuZJeIANjNLxAFsZpaIA9jMLBEHsJlZIg5gM7NEHMBmZok4gM3MEnEAm5kl4gA2M0uk6i9F7ud/MWbWQzmezMwScQCbmSXiADYzS8QBbGaWiAPYzCwRB7CZWSJJA1jSJZJC0h4p6zAzSyFZAEvaGzgBWJaqBjOzlFLuAX8duBSIhDWYmSWT5Eo4SacCf4yIxySVdV3nvntoWZdvZrazyhbAkuYBo9oYNRP4PPCBIpdTD9QDjB07tmT1mZmlpojK9gBIehdwD7ApHzQGeBk4OiL+1NG8dXV10djYWOYKzcxKrs2P+hXvgoiIx4GRze8lvQjURcSrla7FzCwlnwdsZpZI8ttRRsS41DWYmaXgPWAzs0QcwGZmiTiAzcwScQCbmSXiADYzS8QBbGaWiAPYzCwRB7CZWSIVvxdEd0haBSzdiVn3AHrCpc6uY0c9pZaeUgf0nFpcx452tpZXI2Ja64G9KoB3lqTGiKhzHT2rDug5tfSUOqDn1OI6dlTqWtwFYWaWiAPYzCyRWgng2akLyLmOHfWUWnpKHdBzanEdOyppLTXRB2xm1hPVyh6wmVmPU5UBLOmrkp6WtEjSzyS1+WROSdMkPSNpiaTLy1DHWZKelNQkqd0jp5JelPS4pIWSSv7MpS7UUdb2yNexu6S7Jf0h/z6snenK0iadbaMy38zHL5J0ZKnW3cU6jpe0Lt/+hZL+rUx1fF/SSklPtDO+Iu1RZC2VapO9Jf1G0uL87+aiNqYpTbtERNV9kT3ws2/++ivAV9qYpg/wHLAfsCvwGHBoies4BDgIuJfssUvtTfcisEcZ26PTOirRHvl6rgIuz19f3tbPplxtUsw2Ah8C5pI9w2sy8EgZ2qCYOo4HflGu34mC9bwXOBJ4op3xZW+PLtRSqTZ5B3Bk/noI8Gy5fk+qcg84Iu6KiK3524fJHvzZ2tHAkoh4PiLeBH4CnFbiOhZHxDOlXGYZ6yh7e+ROA36Yv/4h8OEyrKM9xWzjacB/R+ZhYKikdySooyIi4n+BNR1MUon2KLaWioiIFRGxIH+9HlgMjG41WUnapSoDuJWPk/2nam008FLB++Xs2MiVEsBdkh6VVJ+ohkq1x54RsQKyX3QKHtDaSjnapJhtrEQ7FLuOd0t6TNJcSYeVuIZi9aS/E6hwm0gaB0wEHmk1qiTtkvyZcDtL0jxgVBujZkbEz/NpZgJbgYa2FtHGsC6fElJMHUU4LiJeljQSuFvS0/neQCXrKEl7dFZLFxbT7TZpq7Q2hrXexpK1QzfrWADsExEbJH0IuA04oMR1FKMS7VGsiraJpMHALcCnIuL11qPbmKXL7dJrAzgipnY0XtJ5wMnAlMg7bVpZDuxd8H4M8HKp6yhyGS/n31dK+hnZR9QuhU0J6ihJe3RWi6RXJL0jIlbkH9lWtrOMbrdJG4rZxpK1Q3fqKPyDj4g5kr4laY+IqPQ9ESrRHkWpZJtI6kcWvg0RcWsbk5SkXaqyC0LSNOAy4NSI2NTOZPOBAyTtK2lX4CPA7ZWqsZmkQZKGNG1Vp0AAAALQSURBVL8mO4DY5lHgMqtUe9wOnJe/Pg/YYe+8jG1SzDbeDvxNfpR7MrCuucukhDqtQ9IoScpfH032t7q6xHUUoxLtUZRKtUm+ju8BiyPiP9uZrDTtUu4jiim+gCVk/TML86/r8uF7AXMKpvsQ2RHO58g+qpe6jr8i+0/5Z+AV4Fet6yA7Ev5Y/vVkqjoq0R75OoYD9wB/yL/vXsk2aWsbgQuBC/PXAq7Nxz9OB2evlLmOf8q3/TGyA8nHlqmOHwMrgC3578jfpWiPImupVJu8h6w7YVFBhnyoHO3iK+HMzBKpyi4IM7PewAFsZpaIA9jMLBEHsJlZIg5gM7NEHMDW60n6ZH7nqraueOxovnGSzi1XXWadcQBbNfgH4EMRMb2L840DuhzAkvp0dR6ztjiArVeTdB3ZhRu3S5qZ31N2vqTfSzotn2acpPslLci/js1n/zLwF/m9ZT8taYakawqW/QtJx+evN0j6D0mPkN0Q5q8l/S6f93qHsu0MB7D1ahFxIdk1+O8HBgG/johJ+fuv5pcyrwROiIgjgXOAb+azXw7cHxETIuLrnaxqENl9ao8hu/z1HLIbBk0AtgFd3fs267034zFrwweAUyVdkr/vD4wlC+hrJDWH5YE7sextZDdnAZgCHAXMz29NMIB2bipk1hEHsFUTAWdEq5vPS7qC7B4YR5B96tvczvxbafmpsH/B680Rsa1gPT+MiM+VomirXe6CsGryK+CfC+6YNTEfvhuwIiKagI+RPRIIYD3ZI2eavQhMkLSLpL3JboHZlnuAM/N7FTc/526fkm6J1QQHsFWTLwL9gEXKHuz4xXz4t4DzJD1M1v2wMR++CNiaP2Hh08CDwAtkd7e6muwG4DuIiKeAfyF7Ysci4G6y54iZdYnvhmZmloj3gM3MEnEAm5kl4gA2M0vEAWxmlogD2MwsEQewmVkiDmAzs0QcwGZmifx/wTPuBwGUjJEAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "import seaborn as sns\n", + "\n", + "all_rows = []\n", + "sample_size = 1000\n", + "test_features = [-2, -1, 0, 1, 2]\n", + "all_labels = []\n", + "\n", + "for feat in test_features:\n", + " true_label = compute_function_labels(slope, intercept, 0, np.array([feat]))\n", + " all_labels.append(true_label)\n", + " pred_posterior = blr.predict(np.array([feat]))\n", + " sample_predicted_labels = pred_posterior.rvs(size=sample_size)\n", + " for label in sample_predicted_labels:\n", + " all_rows.append([feat, label])\n", + " \n", + "all_data = pd.DataFrame(all_rows, columns=[\"feature\", \"label\"]) \n", + "sns.displot(data=all_data, x=\"feature\", y=\"label\")\n", + "plt.scatter(x=test_features, y=all_labels, color=\"red\", label=\"True values\")\n", + "plt.title(\"Predictive posterior distributions\")\n", + "plt.legend()\n", + "plt.plot();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Sources and further reading \n", + "\n", + "The basis for this notebook is chapter 9.2 of the book [Mathematics for Machine Learning](https://mml-book.com). I can highly recommend to read through chapter 9 to get a deeper understanding of (Bayesian) linear regression.\n", + " \n", + "You will find explanations and an implementation of simple linear regression in the [notebook on linear regression](https://github.com/zotroneneis/machine_learning_basics/blob/master/linear_regression.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/data_preprocessing.ipynb b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/data_preprocessing.ipynb new file mode 100644 index 0000000..605e367 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/data_preprocessing.ipynb @@ -0,0 +1,1643 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# How to preprocess a mixed dataset for machine learning\n", + "\n", + "** What is preprocessing? ** \n", + "Preprocessing describes the process of cleaning and converting a 'raw' (i.e. unprocessed) dataset into a clean dataset.\n", + "\n", + "![alt text](figures/preprocessing.png)\n", + "\n", + "When given a dataset, the preprocessing can have various steps depending on \n", + "a) what type of data you're looking at (text, images, time series, ...) \n", + "b) what models you want to train\n", + "\n", + "In this notebook we will look at a **dataset with both numerical and cateogorical attributes**.\n", + "\n", + "## Possible preprocessing steps\n", + "\n", + "As mentioned already, the preprocessing steps you will need for your dataset depend on the nature of the dataset and models you want to train. Possible preprocessing steps are:\n", + "\n", + "- Rescaling attributes with different scales\n", + "- Standardizing the dataset\n", + "- Encoding categorial attributes with integer values\n", + "- Handling missing data\n", + "- Removing duplicated data points\n", + "- Removing outliers/ handle noisy data\n", + "- Discretize the data\n", + "- Split the dataset into a training and test set\n", + "\n", + "## The Pima Indians Diabetes Dataset\n", + "\n", + "In this notebook we will work with the Pima Indians Diabetes Dataset. The dataset has 9 attributes:\n", + "\n", + "| Attribute name | Description \n", + "| --------------| ---------------------------|\n", + "| Pregnancies | Number of times pregnant\n", + "| Glucose | Plasma glucose concentration a 2 hours in an oral glucose tolerance test\n", + "| Blood pressure | Diastolic blood pressure (mm Hg)\n", + "| Skin thickness | Triceps skin fold thickness (mm)\n", + "| Insulin | 2-Hour serum insulin (mu U/ml)\n", + "| BMI | Body mass index\n", + "| Diabetes pedigree function | Diabetes pedigree function\n", + "| Age | Age in years\n", + "| Diagnosis | 0 or 1 (0: no diabetes, 1: diabetes)\n", + "\n", + "\n", + "\n", + "Further information about the dataset can be found [here](https://www.kaggle.com/uciml/pima-indians-diabetes-database).\n", + "\n", + "## Downloading the dataset\n", + "\n", + "The diabetes dataset is available on several websites. We will use the version provided by [Kaggle](https://www.kaggle.com/uciml/pima-indians-diabetes-database/data). \n", + "\n", + "For datasets with multiple attributes a pandas DataFrame is the most convenient format. Therefore, we will use pandas to download our data and put it into a DataFrame." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from sklearn.model_selection import train_test_split\n", + "import os\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PregnanciesGlucoseBloodPressureSkinThicknessInsulinBMIDiabetesPedigreeFunctionAgeOutcome
061487235033.60.627501
11856629026.60.351310
28183640023.30.672321
318966239428.10.167210
40137403516843.12.288331
\n", + "
" + ], + "text/plain": [ + " Pregnancies Glucose BloodPressure SkinThickness Insulin BMI \\\n", + "0 6 148 72 35 0 33.6 \n", + "1 1 85 66 29 0 26.6 \n", + "2 8 183 64 0 0 23.3 \n", + "3 1 89 66 23 94 28.1 \n", + "4 0 137 40 35 168 43.1 \n", + "\n", + " DiabetesPedigreeFunction Age Outcome \n", + "0 0.627 50 1 \n", + "1 0.351 31 0 \n", + "2 0.672 32 1 \n", + "3 0.167 21 0 \n", + "4 2.288 33 1 " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_path = os.path.expanduser('~/ml_basics/data/diabetes.csv')\n", + "df = pd.read_csv(data_path)#, names=column_names)\n", + "column_names = df.columns.tolist()\n", + "\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Inspecting the dataset\n", + "\n", + "Two pandas functions make it very easy to take a first look at the dataset: ```DataFrame.describe()``` and ```DataFrame.info()```. From the current [pandas documentation](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.describe.html)\n", + "\n", + "\n", + "``` DataFrame.info() ``` \n", + "Print a concise summary of a DataFrame. \n", + "\n", + "``` DataFrame.describe():``` \n", + "Generates descriptive statistics that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding NaN values. \n", + "Analyzes both numeric and object series, as well as DataFrame column sets of mixed data types. The output will vary depending on what is provided. Refer to the notes below for more detail." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 768 entries, 0 to 767\n", + "Data columns (total 9 columns):\n", + "Pregnancies 768 non-null int64\n", + "Glucose 768 non-null int64\n", + "BloodPressure 768 non-null int64\n", + "SkinThickness 768 non-null int64\n", + "Insulin 768 non-null int64\n", + "BMI 768 non-null float64\n", + "DiabetesPedigreeFunction 768 non-null float64\n", + "Age 768 non-null int64\n", + "Outcome 768 non-null int64\n", + "dtypes: float64(2), int64(7)\n", + "memory usage: 54.1 KB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can see that there are 768 instances in the dataset, which is very small for a machine learning dataset. For most algorithms you will need more data. " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PregnanciesGlucoseBloodPressureSkinThicknessInsulinBMIDiabetesPedigreeFunctionAgeOutcome
count768.000000768.000000768.000000768.000000768.000000768.000000768.000000768.000000768.000000
mean3.845052120.89453169.10546920.53645879.79947931.9925780.47187633.2408850.348958
std3.36957831.97261819.35580715.952218115.2440027.8841600.33132911.7602320.476951
min0.0000000.0000000.0000000.0000000.0000000.0000000.07800021.0000000.000000
25%1.00000099.00000062.0000000.0000000.00000027.3000000.24375024.0000000.000000
50%3.000000117.00000072.00000023.00000030.50000032.0000000.37250029.0000000.000000
75%6.000000140.25000080.00000032.000000127.25000036.6000000.62625041.0000001.000000
max17.000000199.000000122.00000099.000000846.00000067.1000002.42000081.0000001.000000
\n", + "
" + ], + "text/plain": [ + " Pregnancies Glucose BloodPressure SkinThickness Insulin \\\n", + "count 768.000000 768.000000 768.000000 768.000000 768.000000 \n", + "mean 3.845052 120.894531 69.105469 20.536458 79.799479 \n", + "std 3.369578 31.972618 19.355807 15.952218 115.244002 \n", + "min 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "25% 1.000000 99.000000 62.000000 0.000000 0.000000 \n", + "50% 3.000000 117.000000 72.000000 23.000000 30.500000 \n", + "75% 6.000000 140.250000 80.000000 32.000000 127.250000 \n", + "max 17.000000 199.000000 122.000000 99.000000 846.000000 \n", + "\n", + " BMI DiabetesPedigreeFunction Age Outcome \n", + "count 768.000000 768.000000 768.000000 768.000000 \n", + "mean 31.992578 0.471876 33.240885 0.348958 \n", + "std 7.884160 0.331329 11.760232 0.476951 \n", + "min 0.000000 0.078000 21.000000 0.000000 \n", + "25% 27.300000 0.243750 24.000000 0.000000 \n", + "50% 32.000000 0.372500 29.000000 0.000000 \n", + "75% 36.600000 0.626250 41.000000 1.000000 \n", + "max 67.100000 2.420000 81.000000 1.000000 " + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The variables *count, mean, std* and *max* are self-explanatory. Using the minimum values we can already see that the minimum value of many attributes is 0. For the \"pregnancies\" attribute this makes sense. However, for attributes like \"blood pressure\" or \"insulin\" is doesn't. This indicates that certain values are missing.\n", + "\n", + "The rows named *25%, 50%* and *75%* represent the corresponding *percentiles*. For example, 25% of the woman had less than 1 pregnancy, 50% had less than 3 pregnancies and 75% had less than 6 pregnancies. \n", + "\n", + "## Visualizing aspects of the dataset\n", + "\n", + "Another way to get familiar with the dataset is to look at all numerical attributes and plot a histogram for each of them.\n", + "\n", + "> What is a histogram? \n", + "> A histogram is a graphical representation of data that uses bars of different heights. It groups data points into value ranges. The exact shape of the value ranges depends on the number of bars. With a lot of bars, value ranges will be small, with only a few bars they will be wider. The height of a bar (y-axis) represents the number of data points that fall into the corresponding value range (x-axis). \n", + "\n", + "Since our dataset has only numerical values we can simply call the ```DataFrame.hist()``` function (see section \"Encoding categorical attributes\" for more details on how to convert categorical to numerical attributes).\n", + "\n", + "```DataFrame.hist()``` calls matplotlib.pyplot.hist() on each series in the DataFrame, resulting in one histogram per column (i.e. one histogram per attribute).\n", + "\n", + "The histograms will also make it easier to detect outliers or erroneous values (see section \"Handling noisy data\" for more details)." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df.hist(bins=50, figsize=(25, 20))\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can observe several things in these histograms:\n", + "\n", + "1. Some entries have the \"insulin\" and/or \"skin_thickness\" attribute set to zero. As mentioned before, this indicates that certain values are missing.\n", + "2. The attributes have different scales. We will see later how to handle this.\n", + "3. Some histograms extend further to the left of the median than to the right. Other histograms are more centered. We will discuss at a later point how these different distributions can be handeled." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Removing duplicated data points\n", + "\n", + "To make sure that none of the data point are duplicated and hence overrepresented, we can scan the dataset for duplicated entries and delete them. This becomes very easy with the ```DataFrame.drop_duplicates()``` function." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "df.drop_duplicates(keep='first', inplace=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Creating a test set\n", + "\n", + "If you want to train a machine learning model on your data it's important that you create a separate test set BEFORE you do any further preprocessing. The test set is put aside and not looked at, it's sole purpose is to allow for an evaluation of the trained classifier.\n", + "\n", + "Creating a test set is very easy using scikit-learn. We will use 20% of the data as a test set." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "original_train_df, test_df = train_test_split(df, test_size=0.2)\n", + "\n", + "# To be sure we will create a copy for further processing\n", + "train_df = original_train_df.copy() " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Gaining further insight\n", + "\n", + "To further improve our understanding of the dataset, we can add a few more exploration steps. Besides creating more plots, another useful thing is looking for *correlations* between the attributes. \n", + "\n", + "For example, we can compute [Pearson's correlation coefficient](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient). From the linked Wikipedia website:\n", + "\n", + "> Pearson's correlation coefficient is a measure of the linear correlation between two variables X and Y. It has a value between +1 and −1, where 1 is total positive linear correlation, 0 is no linear correlation, and −1 is total negative linear correlation.\n", + "\n", + "A 'total positive linear correlation' means that as X increases, Y increases. A 'total negative linear correlation' means that as X increases, Y *decreases*.\n", + "\n", + "We can easily compute Pearson's correlation coefficient between every pair of attributes using ```DataFrame.corr()```. In fact, ```DataFrame.corr()``` could also be used to compute the Kendall Tau correlation coefficient or Spearman rank correlation." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PregnanciesGlucoseBloodPressureSkinThicknessInsulinBMIDiabetesPedigreeFunctionAgeOutcome
Pregnancies1.0000000.1416100.124869-0.090113-0.0744840.0038320.0041800.5234240.245579
Glucose0.1416101.0000000.1380610.0552640.3233250.2102500.1659790.2808930.465803
BloodPressure0.1248690.1380611.0000000.2205840.0949200.2918210.0869610.2466830.060411
SkinThickness-0.0901130.0552640.2205841.0000000.4418520.4154790.195016-0.1305660.082470
Insulin-0.0744840.3233250.0949200.4418521.0000000.2154580.155286-0.0466460.136964
BMI0.0038320.2102500.2918210.4154790.2154581.0000000.1515890.0178200.273198
DiabetesPedigreeFunction0.0041800.1659790.0869610.1950160.1552860.1515891.0000000.0423590.207851
Age0.5234240.2808930.246683-0.130566-0.0466460.0178200.0423591.0000000.253536
Outcome0.2455790.4658030.0604110.0824700.1369640.2731980.2078510.2535361.000000
\n", + "
" + ], + "text/plain": [ + " Pregnancies Glucose BloodPressure SkinThickness \\\n", + "Pregnancies 1.000000 0.141610 0.124869 -0.090113 \n", + "Glucose 0.141610 1.000000 0.138061 0.055264 \n", + "BloodPressure 0.124869 0.138061 1.000000 0.220584 \n", + "SkinThickness -0.090113 0.055264 0.220584 1.000000 \n", + "Insulin -0.074484 0.323325 0.094920 0.441852 \n", + "BMI 0.003832 0.210250 0.291821 0.415479 \n", + "DiabetesPedigreeFunction 0.004180 0.165979 0.086961 0.195016 \n", + "Age 0.523424 0.280893 0.246683 -0.130566 \n", + "Outcome 0.245579 0.465803 0.060411 0.082470 \n", + "\n", + " Insulin BMI DiabetesPedigreeFunction \\\n", + "Pregnancies -0.074484 0.003832 0.004180 \n", + "Glucose 0.323325 0.210250 0.165979 \n", + "BloodPressure 0.094920 0.291821 0.086961 \n", + "SkinThickness 0.441852 0.415479 0.195016 \n", + "Insulin 1.000000 0.215458 0.155286 \n", + "BMI 0.215458 1.000000 0.151589 \n", + "DiabetesPedigreeFunction 0.155286 0.151589 1.000000 \n", + "Age -0.046646 0.017820 0.042359 \n", + "Outcome 0.136964 0.273198 0.207851 \n", + "\n", + " Age Outcome \n", + "Pregnancies 0.523424 0.245579 \n", + "Glucose 0.280893 0.465803 \n", + "BloodPressure 0.246683 0.060411 \n", + "SkinThickness -0.130566 0.082470 \n", + "Insulin -0.046646 0.136964 \n", + "BMI 0.017820 0.273198 \n", + "DiabetesPedigreeFunction 0.042359 0.207851 \n", + "Age 1.000000 0.253536 \n", + "Outcome 0.253536 1.000000 " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "correlation_matrix = train_df.corr(method='pearson')\n", + "\n", + "correlation_matrix" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's take a look at how each attribute correlates with the final diagnosis" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "BloodPressure 0.060411\n", + "SkinThickness 0.082470\n", + "Insulin 0.136964\n", + "DiabetesPedigreeFunction 0.207851\n", + "Pregnancies 0.245579\n", + "Age 0.253536\n", + "BMI 0.273198\n", + "Glucose 0.465803\n", + "Outcome 1.000000\n", + "Name: Outcome, dtype: float64" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "correlation_matrix[\"Outcome\"].sort_values()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The highest correlation exists for the attribute \"glucose\" but none of these correlations are very high. However, it's important that we keep in mind that Pearson's only measures *linear* correlations. Nonlinear correlations are not measured and might still exist!\n", + "\n", + "Tip: if you want to take a closer look at correlations and create some plots consider pandas [scatter matrix](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.plotting.scatter_matrix.html) function." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Handling missing data\n", + "\n", + "To make sure that we don't mistake missing values as being 0, we will replace them with 'NaN' (short for \"not a number\"). We need to handle missing values in the columns 'glucose', 'blood_pressure', 'skin_thickness', 'insulin', 'bmi', 'diabetes_pedigree_function' and 'age'." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "names = ['Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age']\n", + "\n", + "for name in names:\n", + " train_df[name].replace(0, np.nan, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PregnanciesGlucoseBloodPressureSkinThicknessInsulinBMIDiabetesPedigreeFunctionAgeOutcome
1716134.070.023.0130.035.40.542291
705680.080.036.0NaN39.80.177280
7619170.074.031.0NaN44.00.403431
191115.070.030.096.034.60.529321
5071130.060.023.0170.028.60.692210
\n", + "
" + ], + "text/plain": [ + " Pregnancies Glucose BloodPressure SkinThickness Insulin BMI \\\n", + "171 6 134.0 70.0 23.0 130.0 35.4 \n", + "705 6 80.0 80.0 36.0 NaN 39.8 \n", + "761 9 170.0 74.0 31.0 NaN 44.0 \n", + "19 1 115.0 70.0 30.0 96.0 34.6 \n", + "507 1 130.0 60.0 23.0 170.0 28.6 \n", + "\n", + " DiabetesPedigreeFunction Age Outcome \n", + "171 0.542 29 1 \n", + "705 0.177 28 0 \n", + "761 0.403 43 1 \n", + "19 0.529 32 1 \n", + "507 0.692 21 0 " + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Missing attribute values can be handled in several ways. For example we can:\n", + "- Delete or ignore the data points with missing values\n", + "- Replace the missing values, for example with the median of the corresponding attribute\n", + "- Remove the entire attribute from the dataset\n", + "\n", + "We will stick to the second option. This means that we first compute the median of each attribute. In a second step we replace missing values with the corresponding attribute median, using ```DataFrame.fillna()```.\n", + "\n", + "A more advanced way to do this, which avoids computing each median manually is scikit-learn's [imputer class](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Imputer.html)." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "glucose_median = train_df[\"Glucose\"].median()\n", + "blood_pressure_median = train_df[\"BloodPressure\"].median()\n", + "skin_thickness_median = train_df[\"SkinThickness\"].median()\n", + "insulin_median = train_df[\"Insulin\"].median()\n", + "bmi_median = train_df[\"BMI\"].median()\n", + "age_median = train_df[\"Age\"].median()\n", + "dpf_median = train_df['DiabetesPedigreeFunction'].median()\n", + "\n", + "train_df[\"Glucose\"].fillna(glucose_median, inplace=True)\n", + "train_df[\"BloodPressure\"].fillna(blood_pressure_median, inplace=True)\n", + "train_df[\"SkinThickness\"].fillna(skin_thickness_median, inplace=True)\n", + "train_df[\"Insulin\"].fillna(insulin_median, inplace=True)\n", + "train_df[\"BMI\"].fillna(bmi_median, inplace=True)\n", + "train_df[\"Age\"].fillna(age_median, inplace=True)\n", + "train_df[\"DiabetesPedigreeFunction\"].fillna(dpf_median, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PregnanciesGlucoseBloodPressureSkinThicknessInsulinBMIDiabetesPedigreeFunctionAgeOutcome
1716134.070.023.0130.035.40.542291
705680.080.036.0126.039.80.177280
7619170.074.031.0126.044.00.403431
191115.070.030.096.034.60.529321
5071130.060.023.0170.028.60.692210
\n", + "
" + ], + "text/plain": [ + " Pregnancies Glucose BloodPressure SkinThickness Insulin BMI \\\n", + "171 6 134.0 70.0 23.0 130.0 35.4 \n", + "705 6 80.0 80.0 36.0 126.0 39.8 \n", + "761 9 170.0 74.0 31.0 126.0 44.0 \n", + "19 1 115.0 70.0 30.0 96.0 34.6 \n", + "507 1 130.0 60.0 23.0 170.0 28.6 \n", + "\n", + " DiabetesPedigreeFunction Age Outcome \n", + "171 0.542 29 1 \n", + "705 0.177 28 0 \n", + "761 0.403 43 1 \n", + "19 0.529 32 1 \n", + "507 0.692 21 0 " + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Handling noisy data and outliers\n", + "\n", + "It might happen that some entries of our dataset are noisy or that the dataset contains outliers. For example, the blood pressure of some person might be extremely high if they suffer from hypertension. Outliers might also represent **erroneous values**. For example, the age attribute should lie below 120.\n", + "\n", + "Outliers can be detected in different ways. For the age attribute we could simply check the statistics given by ```df.describe()``` and check if the min and max values are reasonable. The same holds for other attributes. If you know in which range the attribute values should lie, you can quickly test if the dataset values are within that range.\n", + "\n", + "Once you detect outliers you can decide how you want to deal with them. For example, you could remove them.\n", + "\n", + "## Encoding categorial attributes\n", + "\n", + "This dataset does not contain categorical attributes. Therefore, we don't have to encode them with integer ID's. \n", + "\n", + "For the sake of understanding, let's walk through an example with categorical attributes. Suppose our dataset had an additional column, listing the fitness of each individual. The \"fitness\" attribute has 4 possible values: \"bad\", \"moderate\", \"good\", \"very good\". " + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PregnanciesGlucoseBloodPressureSkinThicknessInsulinBMIDiabetesPedigreeFunctionAgeOutcomefitness
1716134.070.023.0130.035.40.542291bad
705680.080.036.0126.039.80.177280moderate
7619170.074.031.0126.044.00.403431bad
191115.070.030.096.034.60.529321bad
5071130.060.023.0170.028.60.692210good
\n", + "
" + ], + "text/plain": [ + " Pregnancies Glucose BloodPressure SkinThickness Insulin BMI \\\n", + "171 6 134.0 70.0 23.0 130.0 35.4 \n", + "705 6 80.0 80.0 36.0 126.0 39.8 \n", + "761 9 170.0 74.0 31.0 126.0 44.0 \n", + "19 1 115.0 70.0 30.0 96.0 34.6 \n", + "507 1 130.0 60.0 23.0 170.0 28.6 \n", + "\n", + " DiabetesPedigreeFunction Age Outcome fitness \n", + "171 0.542 29 1 bad \n", + "705 0.177 28 0 moderate \n", + "761 0.403 43 1 bad \n", + "19 0.529 32 1 bad \n", + "507 0.692 21 0 good " + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Copy original dataframe and add new column with random fitness values\n", + "temp_df = train_df.copy()\n", + "fitness_values = [\"bad\", \"moderate\", \"good\", \"very good\",]\n", + "temp_df['fitness'] = np.random.choice(fitness_values, temp_df.shape[0])\n", + "\n", + "temp_df.head(5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Most machine learning algorithms work with numerical data, so whenever you have categorical attributes with text labels it can be useful to convert the labels into numbers. In our case, we could encode the text labels as follows: {\"bad\": 0, \"moderate\": 1, \"good\": 2, \"very good\": 3}. This can easily be done using scikit-learn's [LabelEncoder](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html)." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "class id 0 has label bad\n", + "class id 1 has label good\n", + "class id 2 has label moderate\n", + "class id 3 has label very good\n", + "\n", + "Encoded fitness values for first 10 entries: [0 2 0 0 1 2 2 2 3 1]\n" + ] + } + ], + "source": [ + "from sklearn.preprocessing import LabelEncoder\n", + "encoder = LabelEncoder()\n", + "fitness_encoded = encoder.fit_transform(temp_df[\"fitness\"])\n", + "\n", + "for id_, class_ in enumerate(encoder.classes_):\n", + " print(f\"class id {id_} has label {class_}\")\n", + "\n", + "print()\n", + "print(f\"Encoded fitness values for first 10 entries: {fitness_encoded[:10]}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "An disadvantage of an integer encoding like {\"bad\": 0, \"moderate\": 1, \"good\": 2, \"very good\": 3} arises from the functioning of some machine learning algorithms: when comparing different data points, two nearby values (e.g. 2 and 3) will be considered more \"similar\" than distant values (like 0 and 3) although the corresponding categories might not necessarily be similar to each other. \n", + "\n", + "Another possibility (which solves the just mentioned problem) would be to create a *one-hot encoding* of the attribute values. In our case this means that each text label would become a binary attribute, e.g. \"bad fitness\", \"moderate fitness\", \"good fitness\" and \"very good fitness\". The labels would simply be 0 or 1.\n", + "\n", + "For example, if a person has a \"good\" fitness, the attributes \"bad fitness\", \"moderate fitness\" and \"very good fitness\" would be set to 0, the \"good fitness\" attribute to 1.\n", + "\n", + "To create one-hot encoded labels we could use scikit-learn's [OneHotEncoder](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html) and [LabelBinarizer](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Rescaling or standardizing attributes\n", + "\n", + "Several algorithms are sensitive to the *scale* of numerical attributes and won't perform well if the attributes have very different scales. \n", + "\n", + "A classical example is the [k-nearest-neighbor algorithm](https://github.com/zotroneneis/machine_learning_basics/blob/master/k_nearest_neighbour.ipynb). When having an attribute \"age\" that ranges from 0 to 100 and an attribute \"income\" that ranges from 1 to 1.000.000, the attribute with the larger range will have a higher influence on the result.\n", + "\n", + "Therefore, whenever having attributes with different scales, make sure to rescale them. Two standard ways of rescaling are [min-max scaling](https://en.wikipedia.org/wiki/Feature_scaling) and [standardization](https://en.wikipedia.org/wiki/Feature_scaling).\n", + "\n", + "In min-max scaling each feature value is rescaled to be in the range from 0 to 1. The formula for applying min-max scaling to some attribute value $x_i$ is: \n", + "\n", + "$x'_i = \\frac{x_i - min(x)}{max(x) - min(x)}$\n", + "\n", + "with $min(x)$ being the minimum value of attribute $x$ and $x'_i$ being the rescaled value of $x_i$.\n", + "\n", + "To perform min-max scaling we can use scikit-learn's [MinMax Scaler](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html). " + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PregnanciesGlucoseBloodPressureSkinThicknessInsulinBMIDiabetesPedigreeFunctionAgeOutcome
00.3529410.6709680.4897960.3043480.1346150.3149280.2344150.5686271.0
10.0588240.2645160.4285710.2391300.1346150.1717790.1165670.1960780.0
20.4705880.8967740.4081630.2445650.1346150.1042940.2536290.2156861.0
30.0588240.2903230.4285710.1739130.0961540.2024540.0380020.0000000.0
60.1764710.2193550.2653060.2717390.0889420.2617590.0725880.0980391.0
\n", + "
" + ], + "text/plain": [ + " Pregnancies Glucose BloodPressure SkinThickness Insulin BMI \\\n", + "0 0.352941 0.670968 0.489796 0.304348 0.134615 0.314928 \n", + "1 0.058824 0.264516 0.428571 0.239130 0.134615 0.171779 \n", + "2 0.470588 0.896774 0.408163 0.244565 0.134615 0.104294 \n", + "3 0.058824 0.290323 0.428571 0.173913 0.096154 0.202454 \n", + "6 0.176471 0.219355 0.265306 0.271739 0.088942 0.261759 \n", + "\n", + " DiabetesPedigreeFunction Age Outcome \n", + "0 0.234415 0.568627 1.0 \n", + "1 0.116567 0.196078 0.0 \n", + "2 0.253629 0.215686 1.0 \n", + "3 0.038002 0.000000 0.0 \n", + "6 0.072588 0.098039 1.0 " + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.preprocessing import MinMaxScaler\n", + "\n", + "# initialize min-max scaler\n", + "mm_scaler = MinMaxScaler()\n", + "\n", + "temp1_df = train_df.copy()\n", + "column_names = temp1_df.columns.tolist()\n", + "\n", + "# transform all attributes\n", + "temp1_df[column_names] = mm_scaler.fit_transform(temp1_df[column_names])\n", + "\n", + "temp1_df.sort_index(inplace=True)\n", + "temp1_df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note: it's important that you fit the scaler only on the TRAINING set (not the test set!)\n", + "\n", + "The other approach, called **standardization** transform attributes such that they're distributed according to a standard normal distribution with mean 0 and standard deviation 1. \n", + "The formula for standardizing some attribute value $x_i$ is: \n", + "\n", + "$x'_i = \\frac{x_i - mean(x)}{\\sigma(x)}$\n", + "\n", + "with $mean(x)$ being the mean of attribute $x$, $\\sigma(x)$ being the standard deviation of attribute $x$ and $x'_i$ being the rescaled value of $x_i$.\n", + "\n", + "To perform standardization we can use scikit-learn's [Standard Scaler](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html). " + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PregnanciesGlucoseBloodPressureSkinThicknessInsulinBMIDiabetesPedigreeFunctionAgeOutcome
00.3529410.6709680.4897960.3043480.1346150.3149280.2344150.5686271.0
10.0588240.2645160.4285710.2391300.1346150.1717790.1165670.1960780.0
20.4705880.8967740.4081630.2445650.1346150.1042940.2536290.2156861.0
30.0588240.2903230.4285710.1739130.0961540.2024540.0380020.0000000.0
60.1764710.2193550.2653060.2717390.0889420.2617590.0725880.0980391.0
\n", + "
" + ], + "text/plain": [ + " Pregnancies Glucose BloodPressure SkinThickness Insulin BMI \\\n", + "0 0.352941 0.670968 0.489796 0.304348 0.134615 0.314928 \n", + "1 0.058824 0.264516 0.428571 0.239130 0.134615 0.171779 \n", + "2 0.470588 0.896774 0.408163 0.244565 0.134615 0.104294 \n", + "3 0.058824 0.290323 0.428571 0.173913 0.096154 0.202454 \n", + "6 0.176471 0.219355 0.265306 0.271739 0.088942 0.261759 \n", + "\n", + " DiabetesPedigreeFunction Age Outcome \n", + "0 0.234415 0.568627 1.0 \n", + "1 0.116567 0.196078 0.0 \n", + "2 0.253629 0.215686 1.0 \n", + "3 0.038002 0.000000 0.0 \n", + "6 0.072588 0.098039 1.0 " + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.preprocessing import StandardScaler\n", + "\n", + "standard_scaler = StandardScaler()\n", + "\n", + "temp2_df = train_df.copy()\n", + "\n", + "# transform all attributes\n", + "temp2_df[column_names] = mm_scaler.fit_transform(temp2_df[column_names])\n", + "temp2_df.sort_index(inplace=True)\n", + "temp2_df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These steps should be enough to get us started with training machine learning models on the data. If you want to know more about those, check out the other notebooks!" + ] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/decision_tree_classification.ipynb b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/decision_tree_classification.ipynb new file mode 100644 index 0000000..10cb885 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/decision_tree_classification.ipynb @@ -0,0 +1,548 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Decision tree for classification in plain Python\n", + "\n", + "\n", + "A decision tree is a **supervised** machine learning model that can be used both for **classification** and **regression**. At its core, a decision tree uses a tree structure to predict an output value for a given input example. In the tree, each path from the root node to a leaf node represents a *decision path* that ends in a predicted value. \n", + "\n", + "A simple example might look as follows:\n", + "![caption](figures/decision_tree.png)\n", + "\n", + "Decision trees have many advantages. For example, they are easy to understand and their decisions are easy to interpret. Also, they don't require a lot of data preparation. A more extensive list of their advantages and disadvantages can be found [here](http://scikit-learn.org/stable/modules/tree.html).\n", + "\n", + "### CART training algorithm \n", + "In order to train a decision tree, various algorithms can be used. In this notebook we will focus on the *CART* algorithm (Classification and Regression Trees) for *classification*. The CART algorithm builds a *binary tree* in which every non-leaf node has exactly two children (corresponding to a yes/no answer). \n", + "\n", + "Given a set of training examples and their labels, the algorithm repeatedly splits the training examples $D$ into two subsets $D_{left}, D_{right}$ using some feature $f$ and feature threshold $t_f$ such that samples with the same label are grouped together. At each node, the algorithm selects the split $\\theta = (f, t_f)$ that produces the purest subsets, weighted by their size. Purity/impurity is measured using the *Gini impurity*.\n", + "\n", + "So at each step, the algorithm selects the parameters $\\theta$ that minimize the following cost function:\n", + "\n", + "\\begin{equation}\n", + "J(D, \\theta) = \\frac{n_{left}}{n_{total}} G_{left} + \\frac{n_{right}}{n_{total}} G_{right}\n", + "\\end{equation}\n", + "\n", + "- $D$: remaining training examples \n", + "- $n_{total}$ : number of remaining training examples\n", + "- $\\theta = (f, t_f)$: feature and feature threshold\n", + "- $n_{left}/n_{right}$: number of samples in the left/right subset\n", + "- $G_{left}/G_{right}$: Gini impurity of the left/right subset\n", + "\n", + "This step is repeated recursively until the *maximum allowable depth* is reached or the current number of samples $n_{total}$ drops below some minimum number. The original equations can be found [here](http://scikit-learn.org/stable/modules/tree.html).\n", + "\n", + "After building the tree, new examples can be classified by navigating through the tree, testing at each node the corresponding feature until a leaf node/prediction is reached.\n", + "\n", + "\n", + "### Gini Impurity\n", + "\n", + "Given $K$ different classification values $k \\in \\{1, ..., K\\}$ the Gini impurity of node $m$ is computed as follows:\n", + "\n", + "\\begin{equation}\n", + "G_m = 1 - \\sum_{k=1}^{K} (p_{m,k})^2\n", + "\\end{equation}\n", + "\n", + "where $p_{m, k}$ is the fraction of training examples with class $k$ among all training examples in node $m$.\n", + "\n", + "The Gini impurity can be used to evaluate how good a potential split is. A split divides a given set of training examples into two groups. Gini measures how \"mixed\" the resulting groups are. A perfect separation (i.e. each group contains only samples of the same class) corresponds to a Gini impurity of 0. If the resulting groups contain equally many samples of each class, the Gini impurity will reach its highest value of 0.5\n", + "\n", + "### Caveats\n", + "\n", + "Without regularization, decision trees are likely to overfit the training examples. This can be prevented using techniques like *pruning* or by providing a maximum allowed tree depth and/or a minimum number of samples required to split a node further." + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-09T12:50:18.442511Z", + "start_time": "2018-04-09T12:50:18.426963Z" + } + }, + "outputs": [], + "source": [ + "from sklearn.datasets import load_iris\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.model_selection import train_test_split\n", + "np.random.seed(123)\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dataset\n", + "\n", + "The iris dataset compromises 150 examples of 3 different species of iris flowers (Setosa, Versicolour, and Virginica). Each example is described by four attributes: sepal length (cm), sepal width (cm), petal length (cm), petal width (cm)." + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-09T12:50:18.959842Z", + "start_time": "2018-04-09T12:50:18.951915Z" + } + }, + "outputs": [], + "source": [ + "iris = load_iris()\n", + "\n", + "X, y = iris.data, iris.target" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-09T12:50:19.202874Z", + "start_time": "2018-04-09T12:50:19.188064Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape X_train: (112, 4)\n", + "Shape y_train: (112,)\n", + "Shape X_test: (38, 4)\n", + "Shape y_test: (38,)\n" + ] + } + ], + "source": [ + "# Split the data into a training and test set\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y)\n", + "\n", + "print(f'Shape X_train: {X_train.shape}')\n", + "print(f'Shape y_train: {y_train.shape}')\n", + "print(f'Shape X_test: {X_test.shape}')\n", + "print(f'Shape y_test: {y_test.shape}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Decision tree class\n", + "\n", + "Parts of this code were inspired by [this tutorial](https://machinelearningmastery.com/implement-decision-tree-algorithm-scratch-python/)" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-09T12:50:20.706089Z", + "start_time": "2018-04-09T12:50:20.093228Z" + } + }, + "outputs": [], + "source": [ + "class DecisionTree:\n", + " \"\"\"\n", + " Decision tree for classification\n", + " \"\"\"\n", + "\n", + " def __init__(self):\n", + " self.root_dict = None\n", + " self.tree_dict = None\n", + "\n", + " def split_dataset(self, X, y, feature_idx, threshold):\n", + " \"\"\"\n", + " Splits dataset X into two subsets, according to a given feature\n", + " and feature threshold.\n", + "\n", + " Args:\n", + " X: 2D numpy array with data samples\n", + " y: 1D numpy array with labels\n", + " feature_idx: int, index of feature used for splitting the data\n", + " threshold: float, threshold used for splitting the data\n", + "\n", + " Returns:\n", + " splits: dict containing the left and right subsets\n", + " and their labels\n", + " \"\"\"\n", + "\n", + " left_idx = np.where(X[:, feature_idx] < threshold)\n", + " right_idx = np.where(X[:, feature_idx] >= threshold)\n", + "\n", + " left_subset = X[left_idx]\n", + " y_left = y[left_idx]\n", + "\n", + " right_subset = X[right_idx]\n", + " y_right = y[right_idx]\n", + "\n", + " splits = {\n", + " 'left': left_subset,\n", + " 'y_left': y_left,\n", + " 'right': right_subset,\n", + " 'y_right': y_right,\n", + " }\n", + "\n", + " return splits\n", + "\n", + " def gini_impurity(self, y_left, y_right, n_left, n_right):\n", + " \"\"\"\n", + " Computes Gini impurity of a split.\n", + "\n", + " Args:\n", + " y_left, y_right: target values of samples in left/right subset\n", + " n_left, n_right: number of samples in left/right subset\n", + "\n", + " Returns:\n", + " gini_left: float, Gini impurity of left subset\n", + " gini_right: gloat, Gini impurity of right subset\n", + " \"\"\"\n", + "\n", + " n_total = n_left + n_right\n", + "\n", + " score_left, score_right = 0, 0\n", + " gini_left, gini_right = 0, 0\n", + "\n", + " if n_left != 0:\n", + " for c in range(self.n_classes):\n", + " # For each class c, compute fraction of samples with class c\n", + " p_left = len(np.where(y_left == c)[0]) / n_left\n", + " score_left += p_left * p_left\n", + " gini_left = 1 - score_left\n", + "\n", + " if n_right != 0:\n", + " for c in range(self.n_classes):\n", + " p_right = len(np.where(y_right == c)[0]) / n_right\n", + " score_right += p_right * p_right\n", + " gini_right = 1 - score_right\n", + "\n", + " return gini_left, gini_right\n", + "\n", + " def get_cost(self, splits):\n", + " \"\"\"\n", + " Computes cost of a split given the Gini impurity of\n", + " the left and right subset and the sizes of the subsets\n", + " \n", + " Args:\n", + " splits: dict, containing params of current split\n", + " \"\"\"\n", + " y_left = splits['y_left']\n", + " y_right = splits['y_right']\n", + "\n", + " n_left = len(y_left)\n", + " n_right = len(y_right)\n", + " n_total = n_left + n_right\n", + "\n", + " gini_left, gini_right = self.gini_impurity(y_left, y_right, n_left, n_right)\n", + " cost = (n_left / n_total) * gini_left + (n_right / n_total) * gini_right\n", + "\n", + " return cost\n", + "\n", + " def find_best_split(self, X, y):\n", + " \"\"\"\n", + " Finds the best feature and feature index to split dataset X into\n", + " two groups. Checks every value of every attribute as a candidate\n", + " split.\n", + "\n", + " Args:\n", + " X: 2D numpy array with data samples\n", + " y: 1D numpy array with labels\n", + "\n", + " Returns:\n", + " best_split_params: dict, containing parameters of the best split\n", + " \"\"\"\n", + "\n", + " n_samples, n_features = X.shape\n", + "\n", + " best_feature_idx, best_threshold, best_cost, best_splits = np.inf, np.inf, np.inf, None\n", + "\n", + " for feature_idx in range(n_features):\n", + " for i in range(n_samples):\n", + " current_sample = X[i]\n", + " threshold = current_sample[feature_idx]\n", + " splits = self.split_dataset(X, y, feature_idx, threshold)\n", + " cost = self.get_cost(splits)\n", + "\n", + " if cost < best_cost:\n", + " best_feature_idx = feature_idx\n", + " best_threshold = threshold\n", + " best_cost = cost\n", + " best_splits = splits\n", + "\n", + " best_split_params = {\n", + " 'feature_idx': best_feature_idx,\n", + " 'threshold': best_threshold,\n", + " 'cost': best_cost,\n", + " 'left': best_splits['left'],\n", + " 'y_left': best_splits['y_left'],\n", + " 'right': best_splits['right'],\n", + " 'y_right': best_splits['y_right'],\n", + " }\n", + "\n", + " return best_split_params\n", + "\n", + "\n", + " def build_tree(self, node_dict, depth, max_depth, min_samples):\n", + " \"\"\"\n", + " Builds the decision tree in a recursive fashion.\n", + "\n", + " Args:\n", + " node_dict: dict, representing the current node\n", + " depth: int, depth of current node in the tree\n", + " max_depth: int, maximum allowed tree depth\n", + " min_samples: int, minimum number of samples needed to split a node further\n", + "\n", + " Returns:\n", + " node_dict: dict, representing the full subtree originating from current node\n", + " \"\"\"\n", + " left_samples = node_dict['left']\n", + " right_samples = node_dict['right']\n", + " y_left_samples = node_dict['y_left']\n", + " y_right_samples = node_dict['y_right']\n", + "\n", + " if len(y_left_samples) == 0 or len(y_right_samples) == 0:\n", + " node_dict[\"left_child\"] = node_dict[\"right_child\"] = self.create_terminal_node(np.append(y_left_samples, y_right_samples))\n", + " return None\n", + "\n", + " if depth >= max_depth:\n", + " node_dict[\"left_child\"] = self.create_terminal_node(y_left_samples)\n", + " node_dict[\"right_child\"] = self.create_terminal_node(y_right_samples)\n", + " return None\n", + "\n", + " if len(right_samples) < min_samples:\n", + " node_dict[\"right_child\"] = self.create_terminal_node(y_right_samples)\n", + " else:\n", + " node_dict[\"right_child\"] = self.find_best_split(right_samples, y_right_samples)\n", + " self.build_tree(node_dict[\"right_child\"], depth+1, max_depth, min_samples)\n", + "\n", + " if len(left_samples) < min_samples:\n", + " node_dict[\"left_child\"] = self.create_terminal_node(y_left_samples)\n", + " else:\n", + " node_dict[\"left_child\"] = self.find_best_split(left_samples, y_left_samples)\n", + " self.build_tree(node_dict[\"left_child\"], depth+1, max_depth, min_samples)\n", + "\n", + " return node_dict\n", + "\n", + " def create_terminal_node(self, y):\n", + " \"\"\"\n", + " Creates a terminal node.\n", + " Given a set of labels the most common label is computed and\n", + " set as the classification value of the node.\n", + "\n", + " Args:\n", + " y: 1D numpy array with labels\n", + " Returns:\n", + " classification: int, predicted class\n", + " \"\"\"\n", + " classification = max(set(y), key=list(y).count)\n", + " return classification\n", + "\n", + " def train(self, X, y, max_depth, min_samples):\n", + " \"\"\"\n", + " Fits decision tree on a given dataset.\n", + "\n", + " Args:\n", + " X: 2D numpy array with data samples\n", + " y: 1D numpy array with labels\n", + " max_depth: int, maximum allowed tree depth\n", + " min_samples: int, minimum number of samples needed to split a node further\n", + " \"\"\"\n", + " self.n_classes = len(set(y))\n", + " self.root_dict = self.find_best_split(X, y)\n", + " self.tree_dict = self.build_tree(self.root_dict, 1, max_depth, min_samples)\n", + "\n", + " def predict(self, X, node):\n", + " \"\"\"\n", + " Predicts the class for a given input example X.\n", + "\n", + " Args:\n", + " X: 1D numpy array, input example\n", + " node: dict, representing trained decision tree\n", + "\n", + " Returns:\n", + " prediction: int, predicted class\n", + " \"\"\"\n", + " feature_idx = node['feature_idx']\n", + " threshold = node['threshold']\n", + "\n", + " if X[feature_idx] < threshold:\n", + " if isinstance(node['left_child'], (int, np.integer)):\n", + " return node['left_child']\n", + " else:\n", + " prediction = self.predict(X, node['left_child'])\n", + " elif X[feature_idx] >= threshold:\n", + " if isinstance(node['right_child'], (int, np.integer)):\n", + " return node['right_child']\n", + " else:\n", + " prediction = self.predict(X, node['right_child'])\n", + "\n", + " return prediction" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-09T12:19:30.968801Z", + "start_time": "2018-04-09T12:19:30.963691Z" + } + }, + "source": [ + "## Initializing and training the decision tree" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-09T12:50:21.291025Z", + "start_time": "2018-04-09T12:50:21.235025Z" + } + }, + "outputs": [], + "source": [ + "tree = DecisionTree()\n", + "tree.train(X_train, y_train, max_depth=2, min_samples=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Printing the decision tree structure" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-09T12:50:24.127183Z", + "start_time": "2018-04-09T12:50:24.115505Z" + } + }, + "outputs": [], + "source": [ + "def print_tree(node, depth=0):\n", + " if isinstance(node, (int, np.integer)):\n", + " print(f\"{depth * ' '}predicted class: {iris.target_names[node]}\")\n", + " else:\n", + " print(f\"{depth * ' '}{iris.feature_names[node['feature_idx']]} < {node['threshold']}, \"\n", + " f\"cost of split: {round(node['cost'], 3)}\")\n", + " print_tree(node[\"left_child\"], depth+1)\n", + " print_tree(node[\"right_child\"], depth+1)" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-09T12:50:24.818384Z", + "start_time": "2018-04-09T12:50:24.809082Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "petal length (cm) < 3.0, cost of split: 0.346\n", + " sepal length (cm) < 5.4, cost of split: 0.0\n", + " predicted class: setosa\n", + " predicted class: setosa\n", + " petal width (cm) < 1.8, cost of split: 0.097\n", + " predicted class: versicolor\n", + " predicted class: virginica\n" + ] + } + ], + "source": [ + "print_tree(tree.tree_dict)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Testing the decision tree" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-09T12:50:28.307583Z", + "start_time": "2018-04-09T12:50:28.284228Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy on test set: 0.9473684210526315\n" + ] + } + ], + "source": [ + "all_predictions = []\n", + "for i in range(X_test.shape[0]):\n", + " result = tree.predict(X_test[i], tree.tree_dict)\n", + " all_predictions.append(y_test[i] == result)\n", + "\n", + "print(f\"Accuracy on test set: {sum(all_predictions) / len(all_predictions)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.9" + }, + "toc": { + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/decision_tree_regression.ipynb b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/decision_tree_regression.ipynb new file mode 100644 index 0000000..db46585 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/decision_tree_regression.ipynb @@ -0,0 +1,605 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Decision tree for regression in plain Python\n", + "\n", + "A decision tree is a **supervised** machine learning model that can be used both for **classification** and **regression**. At its core, a decision tree uses a tree structure to predict an output value for a given input example. In the tree, each path from the root node to a leaf node represents a *decision path* that ends in a predicted value. \n", + "\n", + "A simple example might predict housing prices:\n", + "\n", + "![caption](figures/regression_tree.png)\n", + "\n", + "Decision trees have many advantages. For example, they are easy to understand and their decisions are easy to interpret. Also, they don't require a lot of data preparation. A more extensive list of their advantages and disadvantages can be found [here](http://scikit-learn.org/stable/modules/tree.html).\n", + "\n", + "### CART training algorithm \n", + "In order to train a decision tree, various algorithms can be used. In this notebook we will focus on the *CART* algorithm (Classification and Regression Trees) for *regression*. The CART algorithm builds a *binary tree* in which every non-leaf node has exactly two children (corresponding to a yes/no answer). \n", + "\n", + "Given a set of training examples and their labels, the algorithm repeatedly splits the training examples $D$ into two subsets $D_{left}, D_{right}$ using some feature $f$ and feature threshold $t_f$ such that samples with the same label are grouped together. At each node, the algorithm selects the split $\\theta = (f, t_f)$ that produces the smallest *mean squared error* (MSE) (alternatively, we could use the mean absolute error).\n", + "\n", + "So at each step, the algorithm selects the parameters $\\theta$ that minimize the following cost function:\n", + "\n", + "\\begin{equation}\n", + "J(D, \\theta) = \\frac{n_{left}}{n_{total}} MSE_{left} + \\frac{n_{right}}{n_{total}} MSE_{right}\n", + "\\end{equation}\n", + "\n", + "- $D$: remaining training examples \n", + "- $n_{total}$ : number of remaining training examples\n", + "- $\\theta = (f, t_f)$: feature and feature threshold\n", + "- $n_{left}/n_{right}$: number of samples in the left/right subset\n", + "- $MSE_{left}/MSE_{right}$: MSE of the left/right subset\n", + "\n", + "This step is repeated recursively until the *maximum allowable depth* is reached or the current number of samples $n_{total}$ drops below some minimum number. The original equations can be found [here](http://scikit-learn.org/stable/modules/tree.html).\n", + "\n", + "After building the tree, new examples can be classified by navigating through the tree, testing at each node the corresponding feature until a leaf node/prediction is reached.\n", + "\n", + "\n", + "### Mean Squared Error (MSE)\n", + "\n", + "When performing regression (i.e. the target values are continuous) we can evaluate a split using its MSE. The MSE of node $m$ is computed as follows:\n", + "\n", + "\\begin{equation}\n", + "\\hat{y}_m = \\frac{1}{n_{m}} \\sum_{i \\in D_m} y_i\n", + "\\end{equation}\n", + "\\begin{equation}\n", + "MSE_m = \\frac{1}{n_{m}} \\sum_{i \\in D_m} (y_i - \\hat{y}_m)^2\n", + "\\end{equation}\n", + "\n", + "- $D_m$: training examples in node $m$\n", + "- $n_{m}$ : total number of training examples in node $m$\n", + "- $y_i$: target value of $i-$th example\n", + "\n", + "### Caveats\n", + "\n", + "Without regularization, decision trees are likely to overfit the training examples. This can be prevented using techniques like *pruning* or by providing a maximum allowed tree depth and/or a minimum number of samples required to split a node further." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-17T14:42:50.190368Z", + "start_time": "2018-04-17T14:42:49.587490Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.model_selection import train_test_split\n", + "np.random.seed(123)\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-17T14:42:54.501545Z", + "start_time": "2018-04-17T14:42:54.111218Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0,0.5,'Target values')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X = np.linspace(-3, 3, 400)\n", + "y = X ** 2 + np.random.randn(400)\n", + "\n", + "plt.figure(figsize=(10,8))\n", + "plt.scatter(X, y)\n", + "plt.title(\"Simple quadratic dataset with noise\")\n", + "plt.xlabel(\"Feature values\")\n", + "plt.ylabel(\"Target values\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-17T14:43:06.489812Z", + "start_time": "2018-04-17T14:43:06.477392Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape X_train: (300, 1)\n", + "Shape y_train: (300,)\n", + "Shape X_test: (100, 1)\n", + "Shape y_test: (100,)\n" + ] + } + ], + "source": [ + "X = X[:, np.newaxis]\n", + "\n", + "# Split the data into a training and test set\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y)\n", + "\n", + "print(f'Shape X_train: {X_train.shape}')\n", + "print(f'Shape y_train: {y_train.shape}')\n", + "print(f'Shape X_test: {X_test.shape}')\n", + "print(f'Shape y_test: {y_test.shape}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Decision tree class\n", + "\n", + "Parts of this code were inspired by [this tutorial](https://machinelearningmastery.com/implement-decision-tree-algorithm-scratch-python/)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-17T14:44:56.019512Z", + "start_time": "2018-04-17T14:44:55.373615Z" + } + }, + "outputs": [], + "source": [ + "class DecisionTree:\n", + " \"\"\"\n", + " Decision tree for regression\n", + " \"\"\"\n", + "\n", + " def __init__(self):\n", + " self.root_dict = None\n", + " self.tree_dict = None\n", + "\n", + " def split_dataset(self, X, y, feature_idx, threshold):\n", + " \"\"\"\n", + " Splits dataset X into two subsets, according to a given feature\n", + " and feature threshold.\n", + "\n", + " Args:\n", + " X: 2D numpy array with data samples\n", + " y: 1D numpy array with labels\n", + " feature_idx: int, index of feature used for splitting the data\n", + " threshold: float, threshold used for splitting the data\n", + "\n", + " Returns:\n", + " splits: dict containing the left and right subsets\n", + " and their labels\n", + " \"\"\"\n", + "\n", + " left_idx = np.where(X[:, feature_idx] < threshold)\n", + " right_idx = np.where(X[:, feature_idx] >= threshold)\n", + "\n", + " left_subset = X[left_idx]\n", + " y_left = y[left_idx]\n", + "\n", + " right_subset = X[right_idx]\n", + " y_right = y[right_idx]\n", + "\n", + " splits = {\n", + " 'left': left_subset,\n", + " 'y_left': y_left,\n", + " 'right': right_subset,\n", + " 'y_right': y_right,\n", + " }\n", + "\n", + " return splits\n", + "\n", + " def mean_squared_error(self, y_left, y_right, n_left, n_right):\n", + " \"\"\"\n", + " Computes MSE of a split.\n", + "\n", + " Args:\n", + " y_left, y_right: target values of samples in left/right subset\n", + " n_left, n_right: number of samples in left/right subset\n", + "\n", + " Returns:\n", + " mse_left: float, MSE of left subset\n", + " mse_right: gloat, MSE of right subset\n", + " \"\"\"\n", + "\n", + " mse_left, mse_right = 0, 0\n", + "\n", + " if len(y_left) != 0:\n", + " y_hat_left = (1 / n_left) * np.sum(y_left)\n", + " mse_left = (1 / n_left) * np.sum((y_left - y_hat_left) ** 2)\n", + "\n", + " if len(y_right) != 0:\n", + " y_hat_right = (1 / n_right) * np.sum(y_right)\n", + " mse_right = (1 / n_right) * np.sum((y_right - y_hat_right) ** 2)\n", + "\n", + " return mse_left, mse_right\n", + "\n", + " def get_cost(self, splits):\n", + " \"\"\"\n", + " Computes cost of a split given the MSE of the left\n", + " and right subset and the sizes of the subsets.\n", + "\n", + " Args:\n", + " splits: dict, containing params of current split\n", + " \"\"\"\n", + " y_left = splits['y_left']\n", + " y_right = splits['y_right']\n", + "\n", + " n_left = len(y_left)\n", + " n_right = len(y_right)\n", + " n_total = n_left + n_right\n", + "\n", + " mse_left, mse_right = self.mean_squared_error(y_left, y_right, n_left, n_right)\n", + " cost = (n_left / n_total) * mse_left + (n_right / n_total) * mse_right\n", + "\n", + " return cost\n", + "\n", + " def find_best_split(self, X, y):\n", + " \"\"\"\n", + " Finds the best feature and feature index to split dataset X into\n", + " two groups. Checks every value of every attribute as a candidate\n", + " split.\n", + "\n", + " Args:\n", + " X: 2D numpy array with data samples\n", + " y: 1D numpy array with labels\n", + "\n", + " Returns:\n", + " best_split_params: dict, containing parameters of the best split\n", + " \"\"\"\n", + "\n", + " n_samples, n_features = X.shape\n", + " best_feature_idx, best_threshold, best_cost, best_splits = np.inf, np.inf, np.inf, None\n", + "\n", + " for feature_idx in range(n_features):\n", + " for i in range(n_samples):\n", + " current_sample = X[i]\n", + " threshold = current_sample[feature_idx]\n", + " splits = self.split_dataset(X, y, feature_idx, threshold)\n", + " cost = self.get_cost(splits)\n", + "\n", + " if cost < best_cost:\n", + " best_feature_idx = feature_idx\n", + " best_threshold = threshold\n", + " best_cost = cost\n", + " best_splits = splits\n", + "\n", + " best_split_params = {\n", + " 'feature_idx': best_feature_idx,\n", + " 'threshold': best_threshold,\n", + " 'cost': best_cost,\n", + " 'left': best_splits['left'],\n", + " 'y_left': best_splits['y_left'],\n", + " 'right': best_splits['right'],\n", + " 'y_right': best_splits['y_right'],\n", + " }\n", + "\n", + " return best_split_params\n", + "\n", + "\n", + " def build_tree(self, node_dict, depth, max_depth, min_samples):\n", + " \"\"\"\n", + " Builds the decision tree in a recursive fashion.\n", + "\n", + " Args:\n", + " node_dict: dict, representing the current node\n", + " depth: int, depth of current node in the tree\n", + " max_depth: int, maximum allowed tree depth\n", + " min_samples: int, minimum number of samples needed to split a node further\n", + "\n", + " Returns:\n", + " node_dict: dict, representing the full subtree originating from current node\n", + " \"\"\"\n", + " left_samples = node_dict['left']\n", + " right_samples = node_dict['right']\n", + " y_left_samples = node_dict['y_left']\n", + " y_right_samples = node_dict['y_right']\n", + "\n", + " if len(y_left_samples) == 0 or len(y_right_samples) == 0:\n", + " node_dict[\"left_child\"] = node_dict[\"right_child\"] = self.create_terminal_node(np.append(y_left_samples, y_right_samples))\n", + " return None\n", + "\n", + " if depth >= max_depth:\n", + " node_dict[\"left_child\"] = self.create_terminal_node(y_left_samples)\n", + " node_dict[\"right_child\"] = self.create_terminal_node(y_right_samples)\n", + " return None\n", + "\n", + " if len(right_samples) < min_samples:\n", + " node_dict[\"right_child\"] = self.create_terminal_node(y_right_samples)\n", + " else:\n", + " node_dict[\"right_child\"] = self.find_best_split(right_samples, y_right_samples)\n", + " self.build_tree(node_dict[\"right_child\"], depth+1, max_depth, min_samples)\n", + "\n", + " if len(left_samples) < min_samples:\n", + " node_dict[\"left_child\"] = self.create_terminal_node(y_left_samples)\n", + " else:\n", + " node_dict[\"left_child\"] = self.find_best_split(left_samples, y_left_samples)\n", + " self.build_tree(node_dict[\"left_child\"], depth+1, max_depth, min_samples)\n", + "\n", + " return node_dict\n", + "\n", + " def create_terminal_node(self, y):\n", + " \"\"\"\n", + " Creates a terminal node.\n", + "\n", + " Args:\n", + " y: 1D numpy array with target values\n", + " Returns:\n", + " predicted_value: float, predicted value\n", + " \"\"\"\n", + " return np.mean(y)\n", + "\n", + " def train(self, X, y, max_depth, min_samples):\n", + " \"\"\"\n", + " Fits decision tree on a given dataset.\n", + "\n", + " Args:\n", + " X: 2D numpy array with data samples\n", + " y: 1D numpy array with labels\n", + " max_depth: int, maximum allowed tree depth\n", + " min_samples: int, minimum number of samples needed to split a node further\n", + " \"\"\"\n", + " self.n_classes = len(set(y))\n", + " self.root_dict = self.find_best_split(X, y)\n", + " self.tree_dict = self.build_tree(self.root_dict, 1, max_depth, min_samples)\n", + "\n", + " def predict(self, X, node):\n", + " \"\"\"\n", + " Predicts the class for a given input example X.\n", + "\n", + " Args:\n", + " X: 1D numpy array, input example\n", + " node: dict, representing trained decision tree\n", + "\n", + " Returns:\n", + " prediction: float, predicted value\n", + " \"\"\"\n", + " feature_idx = node['feature_idx']\n", + " threshold = node['threshold']\n", + "\n", + " if X[feature_idx] < threshold:\n", + " if isinstance(node['left_child'], (float)):\n", + " return node['left_child']\n", + " else:\n", + " prediction = self.predict(X, node['left_child'])\n", + " elif X[feature_idx] >= threshold:\n", + " if isinstance(node['right_child'], (float)):\n", + " return node['right_child']\n", + " else:\n", + " prediction = self.predict(X, node['right_child'])\n", + "\n", + " return prediction" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-09T12:19:30.968801Z", + "start_time": "2018-04-09T12:19:30.963691Z" + } + }, + "source": [ + "## Initializing and training the decision tree" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-17T14:44:59.750231Z", + "start_time": "2018-04-17T14:44:59.698500Z" + } + }, + "outputs": [], + "source": [ + "tree = DecisionTree()\n", + "tree.train(X_train, y_train, max_depth=2, min_samples=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Printing the decision tree structure" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-17T14:45:02.836283Z", + "start_time": "2018-04-17T14:45:02.824214Z" + } + }, + "outputs": [], + "source": [ + "def print_tree(node, depth=0):\n", + " if isinstance(node, (float)):\n", + " print(f\"{depth * ' '}predicted class: {round(node, 3)}\")\n", + " else:\n", + " print(f\"{depth * ' '} feature {node['feature_idx']} < {round(node['threshold'], 3)}, \"\n", + " f\"cost of split: {round(node['cost'], 3)}\")\n", + " print_tree(node[\"left_child\"], depth+1)\n", + " print_tree(node[\"right_child\"], depth+1)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-17T14:45:04.621032Z", + "start_time": "2018-04-17T14:45:04.616888Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " feature 0 < -2.053, cost of split: 5.829\n", + " feature 0 < -2.639, cost of split: 1.105\n", + " predicted class: 8.152\n", + " predicted class: 5.674\n", + " feature 0 < 1.947, cost of split: 2.45\n", + " predicted class: 1.309\n", + " predicted class: 6.105\n" + ] + } + ], + "source": [ + "print_tree(tree.tree_dict)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Testing the decision tree" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-17T14:45:17.199579Z", + "start_time": "2018-04-17T14:45:17.185717Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MSE on test set: 2.464\n" + ] + } + ], + "source": [ + "mse = 0\n", + "predictions = []\n", + "for i in range(X_test.shape[0]):\n", + " result = tree.predict(X_test[i], tree.tree_dict)\n", + " mse += (y_test[i] - result) ** 2\n", + " predictions.append(result)\n", + "\n", + "\n", + "mse = (1 / len(y_test)) * mse\n", + "print(f\"MSE on test set: {round(mse, 3)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting the predictions" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-04-17T14:46:37.715892Z", + "start_time": "2018-04-17T14:46:37.397711Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "predictions = []\n", + "for i in range(X.shape[0]):\n", + " result = tree.predict(X[i], tree.tree_dict)\n", + " predictions.append(result)\n", + "\n", + "plt.figure(figsize=(10, 8))\n", + "plt.title(\"Decision tree predictions\")\n", + "plt.xlabel(\"Feature values\")\n", + "plt.ylabel(\"Target values\")\n", + "plt.scatter(X, y, label=\"target labels\")\n", + "plt.scatter(X, predictions, label=\"predicted labels\")\n", + "plt.legend(loc='upper right')\n", + "plt.show()" + ] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.9" + }, + "toc": { + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/decision_tree.png b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/decision_tree.png new file mode 100644 index 0000000000000000000000000000000000000000..4c28debd09378decf39cd8ee0b5a5babdb00637d GIT binary patch literal 23921 zcmb5WbwE|^wl|8364DJ4y68r_QCxI)gCO1Ap-88+bW4MDEJ6uskdp51?)o0yz0W=S z-S>WH-@_lknrqG{$1~zLeq#p9%ZecrA;ZDJp-PBD72)6>$HT!rYD9btu58QMe*u4< zI0#E9BO)SBFUl=|j~I?3>W)e_#*Qxf_C|0@rcREIM)n_ke_iEY2MSk0$x1qfSgAxM%2!P80en>kUSG z2F=^IkCEXgA4A}2FwnFn@{G((X%j2hW31hTVpS$lt%h~)$;c$9q>cAX(&~@+*W ze}a1i2lu8f_zmbD4r3Ag`iO`CenYvzWe#kAEI4?D&(Bch{d%I((<32oP^o|7Zo>WC zQNWVW)g|4sg;7#cE>1iJ4938m^CA*(oceR$Hfl)IePF&r8z)-pClqsrfd1-YD1+}w>JNzv*{tQ2u z>_fYYoCT-WC5+>+=|blhRd{!W3N8JXStto#V3N#9r|WlnA?Uixv{}9RoUSKl+GX@H z9FeoCm}B-$ZDxurP>KmQY2T>~!y%T3g{WJ@m@(pfP89Q&_5+X8w=v5vdS1`?b>lMC zD#E05m3l>VG0N^1RMH_0{i+Jd1!_I&^}KDPO74?-&(S_BZvUAsAtKa#_Sdke4jvbM zQCZ<^GjrN%$z8uxHde3SvAOi_Kqx!ZLTBz_YD@`(?R3l-H;EY6%&xdOK5WdWba5D_ zc3Q|+yjj)CIQ(F7{)FkQz;pQPRsK?k4^BgEdd{0XMZZl5R0uvk0Xwtsj3q_4cLIef zPi%pNDs`?sl!2an&e#DdYoV{t_UiMMJ#te(IZ>Z%P~`*03LsfHc{D z&P+1n>Mq%e_4`H?%0FVf5XAP?(cqU3QgN&Jvv;tJ0J?1UNmlh3I?A{DIH&>6I~}>9 zjT(7u%bJcKC8?0$ALl=Q^V>Z(XX=c0XxY)7JIETV7_k%5pD4eU7JUR?EvD~_ z@ANF6;j1_}H~%86e;t7TAgup50RJY||BnR!Q`R4jBHUjW7ixlpk>GskX=#x}9**dn zuid@9?=ayq>>mztA-E00*_P?yp#A42{c1jRMu>=s1r8xc5^-!z+q8(ZJp#R$SDkK; zyX;I1tsnaj@kWyHIkyF%D&@(F9RKxgK99p%7%|V$#!$9`g8tc~ZsSTGdU}hilTB0T z$BZ8c#gF}B^0+?)F;fupQgf z^rO~C(8BL(tLYl!{v;9s_bSabFoZ<5^}KZNBrY4$DI&0L@?H$ub+#M7GpXg$!a_rf zekJp`?9FIY8c$ksR&oF64*@$M{5wIi^v1bPJb|@Ny$N(f|Rj?k$iOM8+r2P{bu961nXRWTp>9 zLh)o$xa~HFb0-ksfG{EorSdwtZ zDoBu65lwJi#EcZ__)e6J(LRpRv9huv5koaLaZ~!;a)=+1SlP^I?BaIQ~+0y*Z| zKxNllRsZZg{xh)RG95H*CGY&pdD-+1eSYe*aK}+q2A~c<-DT{W7ql|#f{F5g~mOhve8|x>jrrzX!%D3Nmyq@kecLFQ97|3Q%3khgQ z>C!rtBqWbwv9BKb^oi#|Cgp=H`lxc>*?fmFxMLGCxJU4-hX0~tt8bi}rK(rSetit} z)yZ?ADG6+>-ww~xuyNKiDIWnnaaqr#33$jawy49LcVE~vE;{nsT+OO}6ImYKzPFG6 z%w^$-mfNv=+Q6z2DrzDU^v($b?&AwbQ%MtA30k)eI=z<|UAHwlp68cyA$o2mE|L2; zR@OiGT43yM8#^U)Z(c4OyL*jm&wCWyi;el3^qT*`A{I?;_=+2*K!O3 z)8R8uDfeHs$n%!>T@Zm(*4ysoHadkmrfprH9+6eeERYYy^+6FTc+xQcxXQPOaQM5+`i zClixK=^HUP#8LOGl6hY&#>fc<6V1I$=;bi%`U0eEM*4Vzk#J|URt+Bu6Ekn9dnW*e zj~UUr=+$R6BIO|4ho%=$#-|zR@*x(5C!kr8`~n*};ob8fSm?R{vz9ShWO&!~Y;~ z|2aZFg~fO&3D7Cd&NWcTTMlc~PP^xL45pJ6l#-7=DsaD{yj%<%WUKu&C~ZdXmGVd4ub+N zXFD1zE*PK}`CP@-m6Z$};5vPr7AaA6+4!yB_w_Z6h^>){iOc5jDiA7~r=x~IQ`G5b zR-1F^xB3BL&cdmckd*8JO45i`TL%po7{q97YT2A`-;9lna`W=CiE3386^92>`ChP_ zepGye>IanG%jrfp2X}XOZ*RdP7}m<_svWV*(TYUuV_>8XB5#g*nFj^VwY|N)EiD-e z6?l-5k%xzek)JnORwoc%#tJ zPzB_N$5A(bXSV&$e5dDisuG*kb9s9=F)>k5QSm&|a;EOJkPuniBVYvOfm+X#P1QU+ zo~$(49xoHJnqm(Z{oLah1O}U*ADV{KXI~{B~UaHgG z-R*IaI`K!>f^)6)YXCl59q$`Vm5z)81$4wf+k9NSCJW?Xtz28{~CA0Ho?45Ua% zOG7n;_v-L4UxgS*OZSBlvW0|%9335@k@5#s0PCHx*3;c>SFa7l0lNKayKH}^9-9M6 z1DwNcAa@;}5)u;KGxZJ%*bl<1O%+qH#7p}Y1C30O_{9qg76R8aF(cug;an+la`JT7 zrQmvpbv#^L%&7VObWSTGx+i0DhN7a+3W5J|b-urUd`aicL`xeS5#h|6Dwtm8vOh;7 zyAc!~&dAI>4|B1BLjC6V%Upl&pQ979QV0r?o<0Ib!koBhOjB1^7c3pvL261$R8sy6 z*nV?wZ*MZI5poE&A`z!0xA)D(%*+gj#h=ErDGM-ahTf1YZj%9G9E3tbPbI=1sF!!w z`;2(K3qL=Txo>2Sjw<6&gjvotx=mG??M~N{y*7X^eDs&MlW*|vo>1u{Jx(HfA|Q?s zWi-$0ry28^^Zp##199t_XVBO6law1yHLh}tqwOn zaQgo{Ci#aW^dEwYzoM7_ZE*2F`D^(GS?}6d%wh6}LXj%8QMOcfGyB@^gxOWd_wP5E zKBurX*sRh1Ey`eof7N5Pvhpm!HFu9JWHp8&Z^bvYN3Oyw5ck2V-8;r ze-;lDO~rSy3fX?rEhHo?(@G7&283{)?M9Xsw9fJC!KfYWtsyI6>l$S~^GTX%?F`+)p7`Gn|4NxzU(N zXdgPXEE9X)pQrdZ*bLi-0jvBy<IV~utc1k2p z_Gi~ATAsvDjHvg6EJ)_>at9v4&5SOvd3+Oz-^8;Y-xjHy>(RTSPf)Nr*x0StRim;X zg~>GTDV2_rlwM>__fhrOBGnh2054-Pn2p1o5g z@LzkP&s`F2H|aXGY#SsQ?yFQpkT=HYo+A5c1WYDvQ}L@bQG^jsNq3H;7BMMA)xv=% zjE<+bf|ZcoeSjnjs(=F@O^b>)XSTp3aX`=Lr?Q39*s=M_e%jJkvdoYP%^F3rM9Zeu z+|cwTqQ;>Y8>(b{6s?mvj}Gq<&a81!e*Y-FQL%Qa{uXW1ol@x#$=y*_AxcxUks)2G zCex9xYpSkuIDE^Jq^{E|H6I;EEhx9LRe*!<$fmuzn{3g00@)%Q66b{8U%l0mi8OWo ztz)-_C~Yh#E9!a+?rkSMkENM+Me4uXobZ(jdtU zYoIS#QNg!A9sh?&L<7N|GvI{rq()O3;PCo)8r0OO$4QE!kee)fFk!YMH_vFpbY)3H zMJ-g4h^=dT&Dd;ly;N5OSW7x6FYHM~|6~oRUpx;?rDyUJ|2EvMW1M`-9LS)WIml9Y zAWPbcNB;qYtB>g1FJ8c)*L1Us0rLvlxe2qQl5;1*h<}~W)I~bnO8vEGiK4Vc8zH>b zgMCjQ=S8tW?W@xqh}d=-UmiqAjTKEHay$uT4ux z>*u0>CXLY|A<1w!4_J=r9PQmoK7R#SVkb(}bH98gwbIXVpl#6cByu{Cm0!efzlZCa^yRak29U!c2{&AFZ`cDL%b{Q$Z}DiW>D3U6e@~ z)?c%td*&2iKC%yu9NAn{Mvf1HCZvtf5|_S6{8Bo)XIn%c>>a4U4Tl;0*k+I&iS9Gj zh>iU0T$1_NGng1fR4q|Sj$)7ScfOfcN#T4DZe>Ixp_K?Pt0t1rQE)3WhYeefnN=NW zcG5QI@{Yv2-S$?|xBPW;S8Iys1_u&VlDx@}yN|qWs6U{*AQt{#f=vID9RRHXL;lZb z{2xJftq6`JhHrFqv^+fA2_GEP^`9~M?|ryZDJ(>I`KQ2qegEw60ImHU4S2}_f>aR5 zLtP2@oOje69UTcu4)PVUn{Usw*ol7#o&3?VSzTWb?482H!N~!h-5AEA?aa|phsw#CLsDnU61&wY5`{lFTb7d0qC1za@W(iE)_sItLDHHpgq^vP@mi z!wz3x-|qu9kfhfi0@@ZY_F((JGvK%k=9|6j?Ci8^tx@N1sIsVJlDLT@s;b!8X&{YM zTeC3WyO)63X`$8_t@R}WcPg2~0xt=7VM?`FeW*x{xn-U?rn}WkD~Z#p0mQg#{mI!H zHuTatfhhnVFg7+m+Zrq4wHgK9%Js=6o9XYDRm?wd0ot(KN#>*7?CIt-l@Fquv&|8c z!88F=J*eyH`l-8;lG1pI*7!G>hWMUl^Y9?P6g zSAhYZ@6Y=Hx6*WV`VsbKrU8hH`ja^L+)qra`@m$`Oa=f7!frFiU&Zkw*O6BTfCCR- zNXp6GZ|0>>)mViFi2A8%J;!Gv=5^fYj-g&&S}Hs=25!3xh#okTQ5n(X7lF&wa({O{ z@3G%x-WU#~C6U7-UO4lO0|H4ibK{oRmUGcHW%=v(J7Ph?dM{BMKvLEsErtbIq=+bN%W2l*1$jpGkY7NUf}^ ztBd7og7)JAulBd+z{g04Gfc)+SG&V8ua=WbM?s7eyqyEqNoX0+pikT)47e`O1>+jb+ z(%bU-#RGk6H+r@ND6+ZT#rmI59)n0vMqGTN*~`%A2 zEy0+*=mR|R%%ej~@NZ~Iqn2Kcr3L_$JO%ZDb4;hBf4VgWz>)#RFsZNqgi5Y@gFc)hY$bMzi|8F)0+&HBGpiQW>K&E0qffHok?tx`}kL_WewSm@zJr- zfu%=J!LV$mJ6zKDOD^JEoX;-?=GUGz9>b(!0te={P~jg7mW{jguZEKfTqT;Mz11np z1aKyh&Bpq)o#(FW=izdsb?qMI)cgN$w59OdGCmH@XsM3J`amkp?ihn+)y9w*nMh{~ z$5-(d*lChIDm)vx-{U_#XaWa~Tab=;Z8 zt{(MRJUZC&v}MhMUN^vrsL<5{Vitf-Hdm%61dhPPuA4>a9|zeF0jc=#b5R9L%6MsA zAI9j$r~<_d)d_pGSA*>@0|A1w5+j!tz}2;Ck4ngD2u=mp2*113GrrT^F@Gqu-OP~{ z_Nr~*x$m@j*FxMgTnI5;?Xu5d2R_h^jgz#wNz&OvD1@vlYkQR^@V0aRdA$Dt`q9tvxxdqaIeYC^kIRQ>eW=#NXHaMHIJ1m>jJ>I{43@(6 zdbgHdbTR)IqXTRf7?!yfA0f#{i%Y=T-3|KOeZIM)uF|yHpKA(4A@o(8K@4mCyaRN^ zT(!kGP$BXm8RAk>TIB{JGS{4lh<#Dk0*O&TMtm!kz_bgX83l#E(tP1B0T`g3z@(Grb*2%!M8pzB zN(`1aiA7%+7)phZX$ne8BVe0Z6H#(M{ysb%*SiPcku!`Ww@&7pY-)qkwrb^M80gX_ z^#2=_dj01U#vxdiGyr;UjTX>!SaG-=tpKYho5YTkd%-82b59OTl&qZG;NYN`x0-Kb zBY(uQY#M*C;+wb^tcK#dQ`J%PaSQ(Vx(nQUaca76X)zXmp7b)e@So2(TwY$5mzU>@ zuF}xZfF-48V1UwQAUkdU*^Lq-bz4t$kq_xP1Ov{?&0Vx^YH5RBF@mW*AY1GG$$^T> z&2@Ek00!Z8+RDI@zf@FGGU-op0uD_kPTUSq?SuXOw>y=C^2pE&Ap;fy2n6!$FE}d> zz*WG_0U%u_j=Wh#W#y{9o3pcX43&(0INc$z_rQS*BjLl#&HosDlKiJkuLbxRkd`7< z1qICBijIyBny1PU0DE!VpA*19eA!a;Tg#@Yqk=(JA1tIoAR0*k8p+jz*y5-R?4Ni3 z`V}7+r{ih}Fkdj?d=&WE2k&J5{w`tN4Zvqjw`bE}74C2MeVF-|PThe|6NnhtQm9qC z=T9#SwowacZh%Ufu@fm%L1W|NMMXq(E^NT2H(zbh$3DG#71JI2<%{iN3z^r+P=!&i zYME|0K-qx6h>3_885%0zoCEW@H&sm!A!e$4|I-)XZz1Sb6V(=K_Vz~rqnxU>iR|%< z1qfbOmpDYT$}~!ut|M={Rfx-OsU5h=A!QS8XOkwk-uEu^UV#;Uv0(fyjg2>L=t2}( z06hdVWYVs~z(m6b3Uy%p7{I6o;5Yz(gWF+E+Q0zPgJthw3-zN3dHwn|n{giv9bHdv zFQ4nd%bv%zmLOl{`!Y5*witk~z`X;qRoaDw$Z>z}b59+z^pFKObR9?&uqamt{-l&Ai;yqTr3oxAa8T*jq$DLJ*9KBUlYTH>-y9D%>Dt)Y9RlpEXw3XC zyq|*okU#y)7Z!)LzUXKy$klG`y!m@fTcydkrn{?crEk)hB2hu+z)jTE6*Oo^{QMK3 z-3lqc%N;j|#mKy>R7*6$0Gkfp1K{+0cRFzC2O|v=6XfvJ=D)ZA%_l_NKqi5I3zBr^ z3qL;5$coo*m%?VOU4W&%zQv6kEzts)^5lcj4=;ST;!pp0LGkwb{QS}rR|uq8pkiWt zsj}&V;{YGTp>}KsvXhXo50X0&$da(!+4b$a0F>a!NHMPkW0@rOO^__Av#m4$vjp1! zoWda3S78~Dra3x31`e+ta4SL->gM;EX=w?8?i5|*NF6gL5%hEg?(IvAd>z=?J9L3j zAm0dNo(IFB%CB-Pfny9jc%hqvcO9?K0p#y?+|Q+eSEoTsOG_FVXf)Z{+KNWPi$cJ% z@DqWoz4l{ZF%TONta#p@jsu+>Cz%U=@aKBSTP;d~H#}!hjsoz@%s^5}85xnctzBSg z@??_#G<#iRl8a^#*(%AVa36w03bKa9YGt}WvV@SaM4<{PKz#zBwFQ9PL{77>AA-V{ z42vO-AT0au1nXZR-M@g1Gf6bDaHUqmITAF&tFFLyDZsOFx4dqW-i0iy6bBPcxh$NJ*i@IS?38DrQ&%mj6>&rgnB zaM`$%@hOJsc*QF%g#r6x?#gz**v-V}w)w3#iM9c5&i9}uZ*}dWKfzFhj^T)FS;{+? z{dT831$j8c2+d+S*eK&jb91aJSyUG3A`>q!Z;6J*`KO8Ycm!%$X5qJV{ipLx;gobt zd7CY6nvu)sDKw(pa4)%eTNKYM|1bx}u-ygq2!-1FHHn53-4^Ktq6;!xj-75iYKDJ` z6pUDQAmmdpx2)vpy^)&xxbPX=PsrIlW$mfO{kd3s>l2hh1ypvcp42nSJ1M7&-Pd1X zsELTwSqZ_i_zCxmT`^59J_7sic0qqrC=8^{c8R}l!dEd78nH&nXDF$u^J*I`rWo|> zExf(rgM9sUULE3;bW{TE%GUfQ^uXnPiF zZVxqu)K7m2wuNlHa};JcHpXSio;h||!oh=s-_DBJ$t#GL^ zJ)f>n{C4>1GW4~}3nEP2pQ@V8_3Q^nJKCow+T}UKx$qw|XuMp7H(S>GW^k`p@yw8{ zNy?tt^sV#{C)u^3QoEz|;fwf*m_oTRtEqUG=p|;A)Ynr5jMoX3vEh8Pbt|*(i>Gk! zH|U);J=mX}BDw(6(4SOmw;NIr1fpLxNe|*jF6Q}NWV*T!mqZ_fjXb)Z zVlq^af-P)2AS~sSv4~TXPk?c)H_6%2s+dAu{m+9#BpI+WGv4&f<`4sDmvJ{2{vcH7jdxzeY zzW(87r3$f|B@wSjFV$~ui(6;+!(2rB=05Lt6rv3$Rfp*-?%ki4W7?z$a|lzm2AdKn zWVYP=_;oY&OCWTn&i)acub)SskY!uC$R;y$)DHJ2W^p7BK!C96rd?w^>g+*h(hOL1 zeHbe)rBO><>~^!z)kI(8FsmmYJ{-K5L|H+{7VU_R!kSfek8Pylg~e2rTefKbGok&> z!z3%oUJEXBy&dBKc$;qc(^>yY*Qu_9AcsLAVBXm!!-%MXC%l=HDhJBahg$vN@d!goP<)Vw3kXIRBU0bht?N{0ptjgy8X=r7x$R(A zG&M)5)UnDESVD`DoDcl$T(xy!ScgIGXkv9ucN2^biWWr5wZ$(rH=J(+w&s zd-U;TZ~-}*x-I1P(r$ZW-Rq%SAQ9g} zAi~YZGE#((8MJ%XO=a6+YyIqAd;!a2Z#6YT-Gjps_#Ji*O;}uBu!4a;32ro)+}!mw zT-n>N{cC-q*U&>7P?^lnXKbooa}j~#0$ggB8hP$NaZ=I1fxup~en;L)KOrT_iPd!3 zTVATfe`#X-Ah==@gUk|a$DKMu=_Va%zZfhpVtSM9iO-KVZal72x`aM4$DoIUJ&Ayl z>X}VtD#-})v+SYIh{M6XjUJskUrBm$c;3>aSaF27HrA#Kyj@t8OwI5okG zebXEer@)FI`I^H00^hr*!AG9;{hjZV>N!1nfsp-CL?2-C&Ad&DUSlKgDX;BK=r~ZT zLxipTlQ4}!DeniE8%zw&x+v?S;DQ#z@In=SD$f!H{To~E;Ea`c%!&d{(_Ooi1jf|r z{2grzb1z5H?3hn06?dD?gTzZ9J78c|)Njq)=-FeQj#a5U?zD@!yEp{f#^Tb4+|z$? z><({&#`B|JV<8o>bHhU*KjZbQ+@O&n-82koAwo-RJgQdM;*N>z#N?N~5T=Mt+(gyS zid0;6Pyn0!7X;F#gxSwq-`YO1DiqqNlJ}kxq_w`W^1?%o>RjtN-?f#q%6|CW{gf+G zht={aZ`02G;89#Bww@ko^*P0VshYXQ-7qq_F^j~eqevny;<83W{2)gtD+CEsDu?_? z`*DAlo~YjJLtkucHfJPtNay!P3?ZK?K_Eh8sD_KbjtAi-RXS}%Z$uPI+N*J6KXa1C7VJ{)g1{N z2fRT>YdXu3fHlRZTh&g>_*+KhL|95^@eofeUhVjHk0B#b>Zv&_{r&hRiRAVxn?3hz z(?7|x(0^wQx@NvA9Jndth5x2|RW`e4vQ^u7HvUC&`|5g-Z~Cs9nJcz`h9qp!bvU2e z8#Rnzoa-4Q7L@k$8sHW%deWZWJPE$Pdj>C ztt^xoGnE#Nc*?!vcB#^%JwNkyn?6f&cYAOLlN{m9CZiZPcXQhI?293#AQ2Br-~v;n z#_z8vl7zhlY$e8@Q(i$r_LI%z0p+nksduwtu~fPw0mdl%DX3P9U-EMZ<=^sZcbvQt zYQ{+?=Kf)|Np97&?-)%qWG#BW@JUA$r4QkWC}4TFD~{fIG=>35A+;yj4@~RcVaf{GxP8yO8KzYPd~x=Nv3^F_>@S# zgcK)AE{{s_pe3pXb8Jf#Q*2|jy;nDXxP_)V8lo+?LhT+GL~W1Z79@&^85J(hFT~D; z-5o6WDjLIVKuAG^;+46MHr7iBT`CVVb%*OhH9v$dnQg!B*0I3qXZhR82tF?g($g-{ zy?9SM$no`)ovztv7xc~AbeNFLgpcs;5NUUpz)UT5YQl^h4KePC-j0dbUVPY8uUD#x zkcOD4R))Z5GD7Sdy|XhbBhdEhFOsws$4~m5@TF=qEa#(OxQ=3 zw&H^M`vuXI-|ZEU+)U%uZXEh&ch|wFJj8B@2zb551X7jAgCWVX1V z#(xA&Zo`~q1-b6bFSnlPt)Sg=uo#?WiUpkAOdq@w+$_J8>q85>`0L`_;7PFv8K=!MI@oaNM-DQe%8YwNf*l?hdkH9|&3rVaKCoZ)i zQ~iZl>VQexP-498B==g)ux{3PEzX@%YNgz?N;S6|(4JB_pSYa!ce6!zLMV#+Y$3B)HLSu31+)JAs=$o= z`b|7NRv&%Dw5)^*IwxB#lS?T-rDE(=nmVn5{RlLotEsiug{01LkDi2bTF7htxl3Z< zuBpj5=Q_fnw(+#+UfZ-=VYa0aOD+_<{2kd{-zdKfcSU>EeNge?@|hT^h1(__w1!>a zs5n5tV!HZA`}3m!FRSzFL4li}oG6K{b^^%KN_b9GI6H&F5Z*Q+`wR#BXn!xS z$tE9T*=62je1h1WyKm5$XYqEKvH(y2J1F1g%1A}xiW^z_eB z%@UYQNBdd%r0sX}VA{g+2K12I~Isb=Ret#%9v+j~W9AU2r`7M2pXw;=4o(!w=ifWvD1HgS~4b zXSSbnVpMO_yYNr`K9gK-UYCnLahOz_U`a=`oo(tjjpp?(kY^CQz)XkM)KuQijXXEly{K*DuS>V$YtzR zg7?tWKI^XU$G!_SM69m4Z#%HsdV*>vwS8&0+1OHW)mmMPHFKv{4uVkVKQQaO5(RAS z#@y!;c4rbKkCph~rLA^nbJJuR-Tl);;M>p}-TBkYr!0s_2i|YCidsX32C&vDxy#mT?L!T z%9fQS41Q;fAzEIejI7tn+{yWmI-CX1dn@c#yuy(YzU75+mi<-|6$MQgY3f*E944j-%Vv8R3`^ZV3MIf9w|7*FRlSmz z@>OQRuYtsp28aD6=v?tgq8+2VIIj!SOpO>$kYNZ^h2c^z&TiMRCK5O8-a_Bp?k?41 zQzND*c1go(d1{IsBG+8iOFb!S7ZNP^iC{(xkYmhht6BQ)D zAg4Us5W2KUP72AYEaHmTuC-s=T9S&~_5DE?j_yOwZ{|ER5+LC7qjn8X$x_Sd9i`Zw z^f+mVMYg0uPr*d}Iieu@-W1Z^_4$))_KUidhY@ z-(#ZB6q?>bp$ePpF6iU+EKEGYP#guWlU{5U9?ZE^Q;w*#E=daN3T;9EJA69G=H-pG zgk$yc6}Qi3-Pk2{NN_2S+fOPeMqGVFyrMbEWeCZ7sYvAe7)Wr>#S=;hwNZYbQ-+^7 zBs50ZK>y>SqiVu{yTotfhD#}L=lk8aORSe~);j*EB&PUowk8Y7bXXfLl^sAuOF8(e z*Lv07e0vS^JB~EkqKhwJ=XG7iowNNaK+3LRdSs-I#>hwskvLz+MH5LWweu^|Nh+7A zS`O4n;>ar2v#4z_u;yRTeuYS~Z865m8LxfpZ%LPsPDf2wD?6RONlP8_J}bCU2c1Od zNH1$5x}`7o>b6q=s;!+A=4`06JFppPu@s@sY149mFx;N0DuOUsE)g=nyQleX_6b=6 zHf9|6`OYght8+qW9x zO)*l=HiB`bN7$DIw%l>J*ecQ)#FXx}1~g(-Q8WQrFEBCVQd=A(6r)y8>F<4yzXaJr zDlqJz4naFmWC+*Lp@nF3lIbH%Oqsf?bPft$iul6dc*X8mkv#UNiM8gaw$ffu)ZyO53CDvk5wUdzY)MkoWFm z5HjVTCMSfdy1JWIA?Z%1wH1?Hbm~c|>8<3v*VNw&6Llw@#_750 z&LLA*tNiLfygsiRjIF!L38&;OZ&e86gt>J*O^#F;jMovoJF9ehYOj)THU5I0W%%kf z6z6m^)N?e0XGG95#K4K7fo6>-nlpnW*5DSp4Og9w3>Gbe7+doo+o z{Z2ia)i}HM=kriX9{gr6TAQtXn-`bl6{23K{V^A94r5Yy#(KQcgUKcH4$#<|v077l z%UbT>pe8xOcPrD@xIsZPlYuuzVwSi<`?KD}R?hVHKGzG!PMtS)j4C8pwLZ7o3ryL5OA2~%Gq92OBu6rhAG09EkDCD^L zdH(oG4}MWq16O^hcxht{+?FT(^*sWa;f;G3Zx~`;obzxfY^R z{GjYJ1HESF&jCva#SH`Lv|KZNm1$JGN?0^gG4zC}PN@3wvB z3AJq!s4IF4q4i$b9wuF0w>&nnE>4ZK_}$tpKxt-X7M`5bbop}#M#^i)!lh09Lzunw z3AE<;JZipJ7wX?(WL7UiBF(d3)~*)$_B%v*u}-giDQR? zT-8$A-G0j?MUL@M8+Yqx18ciOEWPg7)lQME{OPdOMp#&`R};Q5|CZ|?vpRx6WPEYBIYuOA532Kef)P>BRjqu0wb z^F&^cwn4Jis`{smj6A$@Ct>~#`+Ldp{*}uQ*xvo{Wtw_pw)okWVz;{-BM!w3D6#BL z{&v5Jv(34j*N?op=n4%t|N0Edq>!RY>S|@}yx!gE&`3F<@#rO@Ic1QS55xZ1U8GjW zV8vESJHe|yQ02vC@#iK&R0btG($Raxa3Bf;H8hB5g7e*zN0}7z>s^yRUTMceM4pH! z0LaP^*f>;CHxDC-B4zcGoN6);2y~26lQ@)Tp7-u|lyN<~s;CXkg9zBx??+g&sMhNKek!b3%giO^v#0@3`ErKohVU%$FfZ5l zcT)QS@*!dwR>t`F(*qYJKEx$_?)MNbS^Yzg#IWsS*?6s26F3j-!N#Ak_Fu3bG9s#7-i z_*Qn*v5NtJSkwS*{^W%7(DEpTc@^EYCcmmGr0p@L_t3@C(wIqmu@yDJa+*!;du||m zL=i6RDVwLW@xBuY@#37sojN8DfB;Xf{?xEa-d8GwmTJ{iTVhP_M8~Xm-uDwhT~RH> zyPPEp>Hz0{^6|a6=@!}dmrH4CCN|9Xt+>n!$Wtt8fE|LzsL5$Q+Rk!y;g!_-Ax#nL znoppi+0d(IA0RZgRhd$5@tPRn;{uHpTl@Ki?`I=aA@vuPOQs}X=$LGg-d5$Gx4unhJcb5Osh@ zLNW^|3hu$EY=Q#AM{}Oz5t6BDVt#tP-`~8Up_OCA@Q@X{Yanq+1sedbDX5xteGHvx zX?E;jS~z^gqR$L6v`s3o$2Q85)X2Jn`HeW8UTEW(?@nOzEkEQwtCFPE3mTvK7^2ta z+o@$sr|}bdJbv>K;$ zy^c>Un(oR~9A=H($my!k5YjKsjI_&DYf6K1=P(j9lWC4;C{9aclHyu3DD<9_N%-L7$ z)|^pq6}FS@$%cZLu(Fk}{t@R7~!vX+toW3hG#yXF2|N#v$E#>G2{&0By;73}vxtxx&EqM3*6 znD>1oftWQhGS(hQu180&CfB4{mG+Scaa@qG`y#f8SOuY7+-8UN3Tir5_2YNCtU$UR zy(HM;I2RIZxhP$?g7pZ_sh@AqDpNFqO2HyfiHLL>&GyS}DqnVQf}{@#5AYq1jLkOD z^z2F+vjV@ZzephOc=VE6a$0cn`n+*jA)LBli-9-n0h~uAV*k>sMSKiT>N;aVj9sBLF9T{_=cL9bLJee-4h%j*xn{CW#RvM&0$<}LP%zvz)c$kSq&D#ibA1qkMm#SHjP>BAHhlx3qBN3xn9$e`yh&Oid(dn)Pfd|6h zb%lA^`{dn+oNRBt%dT_(If&=Xu+i|yh*$*iCCF9>%qHdKFS(<11_y!UJ*dZeAc!8cp$BeKv73*Yf&_zoJ#h(=ipUOYLq;$4 zbYwycjMrGk+6rim+?<^DF&XEZO{?L%jrL8h+h!C@Z&-eiY;0_!yy%C7bWK)R9d@49{B6RHUtH{SH+B`*t@$ODCf zk3SA*LVoVuWHJXe`>%E;eX!p~AhtC9!oz3A97y4H*F1H)+rZ^GVXXyhHi7$_V>dUq zYIBvq$Q&6dsmkeHM$M`pd#Eb;b!}3upJO6%#yPA?D!KER{vrNbT&7j`Us{rX@$nvu zDgk9XeH&`pGH=7Z%f`naE-09?%UGb0EClME0ENm1R0#u`aH`8(z3pP_$%*66oO~SC z{>gc|53kom#goAJ>2(UaVDr+Xf#pM9y!&|jx#GU=Ae6=#koIu(9X!cqL4^rGZ zzF%psrx9U^WQ@*_F_BG|HvdyF9LWgk>U#S6fIeZ@e3h?{nds4II&wcuN@kz>EDrwh zC;Gdk_F(M%%po5|pW$(T$&zn`jiFaafqfO26j>y14Gs=IGN)g5h|BoNh)h=Jd$ zTo0E%JwZql^lH#;B086NAT^VM6$jmh&OW>u0>k*5bRw(Sa88n^n={}Y{fZ#*04ytg zlLsyay#K~%FNJ;f_EJKII|E(7*o5CgQ^1hv4CpUQB-Grs1h7!90AaI0xlqfE)n<(X z%fH*Je0AraMa_Uu|9>lL2Fwv|P}F?1(w)zN>9jw03r6GtJbs(q&FL`whqriOq80ZT zZuY)7RYi~5=oy_{Ni8Yfh&>L;uUAhy+S zx@aZhg-ey)_iCWc{VgYi`w9&X3VoFS3QcB{fs&RIU1#+<{Nwuhn$Ug0d96eG{hhtT z)Rul!*L9Z!D)iK*u@{K&p1NiGThIAy7v2~eu0)ZG$&XuH0AiE->6X(n>L?Sa8P)^r zU>nb)ACz++Z6pRSoR#dKe40(K3fqURXn$ChHKX3;pAOx6{01)jfau--rmC5q*$fyU z0rwLcM#d)KcZ04s#)`&+Fv+jZc0DSUsEh|n*?0#d+eJR%tIK-tO+9_cH;BD)dIX2P z$$|L)i!|GM??sCjx(c{v{I&~l$nNB%9y_m7WzYA0?yvuaGz&u{_y=j${JFKRp%H`R z^Mm`{Sr6^O^Cg4>wR!9LQc0%%FBArlW38UBwWAm|nSinKR3!&3V=4rP=hfkv3Or~U zH?bBdy^QsJ1)IgcP1$i9w&xz6yk0#IeC^C5IAP0mQ|dc^HNeah1A!T!j~RVLx4F4E zi~;W}03`Tq6ghFvy4m;+GgLS@uKV|$vA+*u4GP$qU$Zw((2oY<%0i26pX?oc$#G5Z zd(Y+JVR8?xorsmMB?}?{bI$Yd8K-uleZl&?<$<56S>g;{0f4fv@bGE^pmjcd`hTTwNJAEL6DU1r z3Gajm3JNkZhIf(&ZA31Y+g_<8CMJT?3`;XJeIFswpFe*B{#qiamCb$$QRNoEyguJg z=X0?Z5%Di5pdE2-1f0~Z&CN?dIAukKT#?t2r+U8yTs2kI2f`RZM@%I!F`(|j-VNjd z7*a@+ABc!GHSxE%IsGX-m2&BV!2TQKK--b?I)4lfK2+QSPMQ&p&w!6qX=y2-{psUC zPxx%bcyIIdTK-QLR~`@5`~8Oz60AbDW@bKeo5xruoa6Mj=TL1kTco+r4=1jb)5Cedj2@535fO~wpD0eoV zBfl~|H^+A0?Nv)DE0EgIg)0IrHv~{00TYjwmi8Js%@Idhr;QvCRD(7iq;U9Lb#=Aa zgnwUOpF8M%@gC`Ur4oD+6ZQ4<5=;tp(F5(Tz(|vJ3=Wp(<+ThA`2aQbsp20*MhPlt zKy=LqY-$lv(UFmn)$y8S-2~r2rntv^hX9QPfhnn?diaGA8#(FbHKpuF(J?WGlct2}X)8x%RXd~y zV2c7y-_%2C7#S7o^VENT6;&g)S=#8GM2*GsQjtlHyopF`u{5{ivagxbuH8#H9&j?$ zUEA}vw;$?7#>K@k7d9*KUJ)kwEF03?z?KNr$nCE7_|juOynSino*?y0Ge^F|=~(oK zyI@tSt>_0uULK>!K?pZXIV;+iz4%*(I!=zF;g!sYT9AtPG0v~VMq5WmhzgiaK17e? z%6ha~RAAepa;Hy#dh_dd>+$ju**!DR$l~!!;8(<=OtzW}oybA)f^UgW+so=G8eQPl z?YWKdCr3LI$AI73EcNCMJ)hZ}*2p)TGE<{rNz;D8OVG>|vE0eK_!+iPpk52M1M||T z{x3ozv|L7&!z5vMX7?_|kLz3RpMpfC%2p47JnGMJnNc{nVM9z-PXM~7Yus?5s!TI; zP>}jT1|>tTiIBK2p=te%OYGY@QCe`duO<+umI3wsOM|MLmcq#lZ{+8#MmHC_+v1`@ zKNeR<=TrMeucX$Ryxwj`kt)W<4Wb#|uy@zY6ue`sIqFWkpP5-!Rz`6;c@(UnM)Bw) z=dy2@J9@5RV!?tG7IgZ1kqzTb?7|OrxK^!Mfzw?5N{@Jqk@YP{5tPsATVEu#p#JNd zC;DFIQ=rgo@x7)9ruKh`d8y>>f0GxnaBq44VEb{S-0e7u+9QLxo93!wj^jV>{X=UF za_N!r_fP}0(tb0+3P4f)OPfYy^KlO{obDFje+ZrpkFNcSU>Tnee1GYJ2qPvf_!_Zi zZq8;6QPk5VodScr0egn?G(`=ei`p4FnKVKCBBluyD;&L`Z z1=j5qPpO(N5=LA$D{uHKH|uFUp(YKi|y&e64zmLHaxoccWC zNt)Up$!FO>qVeBYQDQ`uzlh39X#(Hrx8*jEa`+%Nxp)> zCYq!7oZHUIYbz%f&64R~(;_9sl#W-VdK}c*g8sT{Y4vxR*!T3{Iyx%9+=q}~O)s)+ zuKm?B?OhEehyVN0JDl=T9&F_&+*B?kv=Bi73To&D#AuL%D`XAY!5z>uGs@3ZG0pQh zgsYSw(353#Z;t0Zl&f^NSYU$?8yo&c;)^$i&yO-o=>bKxD!e2GKqLET! zN6;of6(<60XsF3=5Pg>u%U~R$$R`~?7YF%+ki2#K5Mozc#g-P|two15 z_lcU{Su?##WQ(+_1DCj(YK)dY-zq0K@@Rh2^)xg!U77keY=Xr$a9Nv3ihY={ObPM! z$3b(k*nZA04=>bPbjKgBy%6783H$t)t)iHmv4S%&jQftwk7*>+6Zkcxe+~9!ein&( z7ZbFpi;5w1YYPUU*7s)UE}0`ZKBnIeok*?IK@%xnVHuM$nV&MVL&d4I)^>HG;~LAm z)-%U&(LB0V#=b*3sa+vuWymrE5;>2#XWNyP#eC9f6{6bscq_OuM#nAdjX3!&NF=cx z;y!iYL=2kf4z=5aurQIJ04*f);%&&C$P3~`QF7Ff`mv!O?LTb4-iHu!sjws?f0vVE z2VwYxeQbh4=1{a=DvHzzf9O;ot?zuVy|D=cD@Go##zm+FGjUgZvX?$?4pcY&Gv(is zpyoNe8>etLHz^TAJ9_Qi{lJgAujLJHoMZOuQrX%e_vsu~@eBMretphTnZWjo`{pe+ z0m24LmZ9wD_JGp6*Y^)j+)9dX8ps*Oq`G3Bdc)Nxs&dLSIilpBPt*iCOVTKoJB{;u zdLyQ7oXn+}v2|O;RgGgn6cczPp}+LWeynREF2EVSG|L!Hk-ekN8o<1V4|!AKg4Lab zEF&a66E65n9BDzQgLeN=)RRL5C>}yLA?Gqk6d;oIG?1@4=pr(hEm5vo#Fke!O!mko zmAPbYSW;o8EZfW}Lg)!)GeygbjFWFpc@H|SS8P-9OXd?Hrc#n(7{xDnKYF3Y8#bsM zXz72vvL5Xf?!D78I%Lfo(AoCs%WlFQ2hkS+1GLiX^g+7|$E%PGTP&j=yUkPijw9iT z#bVApz2AM-uaaG(d{$L0vmpa-F>NX{nA5{)s*nnlixNk5dzXz9_*Sw zU$~pT!xFUF@%-@$M9vCMEJqblfPz8aNToc6)Hk%}+@-`rx>a~eA=t`{&A%E%RmBv)X+({Sd?{|DmQCwdtW6-8oJYAfUe1MJ-wKu75WJt{RKu+9-yJO3m3|Lt z^;)+#d+)7%(O7*w>w^GCtwb?8{}|Eqll{y3o+1Zv7a>`lRM*CT? zO_@m?zhm9hY&LoIEp)g3ws#`6F{|Dj|bmk+*D5nVfcng3+vshDQRwpN|w zb*It6%9A~1YwMehoS;6?m+vAS>9H%Zsl3hDozd%6`03JnK4aH7)sN&c<+ig0_z2o@ zru1i98oIVs-deDa+>V@7p!x{JeC;3K(5n-B$sr}!b)99N^;lc0z=~2p_&TsfRIJZR z_95`Tb?YafHYHU6$ynwlsr{!#*9cV6Xe*p~_B235Vk}nH4{FP4*pz^Z4g_pE;unTs z5wlE*2V0>AZ8$uY>7PK)ml+q9`=m~gC09>`LBRy{cK`t_I8&QH<6)*zw$ggqrfbzA zy*-QYi=F!hZL)z%grqiX?sj^?u@-WwG6FzFn~yVC@vO|gp=)2Y1v9$x5d>N*wpaD{ z+Txvzsm`Al2X$d6yG3Y>Mj2T#{af+Wz}4Vr`DB#p(m?z4Fx;|0ZweDI8UQkRHa;Ug z!?r36ZBc{D*N`pWJOk$dG;#vl`=oYO&5R;sysAXV-imz@9wcxGT4jLfjb2^Bn%Ezy zwfYIIb1PoFur^k^i9-z1#4(d{Vz=*?E*)8fps@_Zp@5m-7$^ zM1DT+8S1_axzFsf?IOm94Mprszrfm*Rw(2?mZN^sB(bOBn-vQUE7Z{gLbRud4*14$ zWAvl8jZ=M|9`C4vaJ0$8U!gF&n}`9=SGUo`bXps`eu^h*TrNtp5@sc}rm^2GuA&45 zkuaod__i!7chY)8947sBXsF5!+B1uia(awn(8=$Z4*hkoT&aDoFEbd1)yki{1X}Lr z@4~^mc)@=I8q4XTlKCbY&G{jA$3QpAxD(_qa!f@QQ5DZamO72Az&j9aJ-wd~Pwm%Q zo8Q(f>s0xCt)}dN?N0S#`}KJ;@240xeMhuD4NY2PWWC(K^K9zxAU6px{pGqgW}VBa z*v_Lx(t5?L6lo2{Zq9}IsETplrOlbP_x}b;gfi03qtI@>vv#C{(gh?ZzbA8t1q^0Z zscYD|xVXYzP=jHw_qu&Kyf-dpLWilNZOk+A)Sf-RiP7&hoyL1jU0wX3xE6eRVy+3% zqSm6)>?|8=9z&6_L0^_RSC@<~nf3H}0^ZkotoE)HhY@$|f7s_dn#qIdZ$yk1IH=;` z>sG+;{cB!(=+vbYC$qD&gJuAhXVBNm1#2>7_XfIES35uURKNM|7evY#{ns|v?LDDW zx@xXH5%dUYI75m2UJ`R<>t~p#o5RXy;peBw&+w8H3gr5V>Dxf*t>X-&RK&ZBxYn?^ zgl9KdWcltJ)&mFivcM_uFPLJP#eD>B-<}7l$bT4V7Z&0dNx40~A3D{!CxA5i`~kbM z$kQ)Y#=M`!emoy34L`H~hg`7&4X52ujEQ~mb^eWur!JD+^mf-IpJigZKe6xl_;_Jq z;lGQrYAkNa+su-G9Ahmh$uw!w&b?HRm@8#!PN-e3zH5F6Zl9c-%y0oz{$AN9D@0wl ztKJK6#B1Z2gv43I&cChj#jAPk?~HhZeky9}>NfwN;%3WG#{@okCjwtI`K#*~7!jQ) zb?966O!-4U#Zr=w*~#C10_YlnJHyIB3q{vE+qB7*-sR9(J7woYDnGMkz}8#wEtC7X zz8=s>pDhvFP$%x#OtsCSepDyA_0i(#5`iDqVGt}ePq6GQ;sj5C$;&gpp&0b)0;i8p zT3TB0?Cgn;D|gcL7rR e|9>!K`vl)jS3m8$iUt~8h>DWBVu6BL$o~Mae-fww literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/decision_tree_predictions.png b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/decision_tree_predictions.png new file mode 100644 index 0000000000000000000000000000000000000000..5f751e93d5690ae86e68b16be62ff7ad04848dc6 GIT binary patch literal 37124 zcmd?Rg;$h+)IBZ!)@cfuv zg(Yk^fQh#quoSNdXsWO&2wLGZ%M5CsTy2p^Jl! zy^D>d5w)ACle4A09W^H_Co4M(wS|j|gCHB*|GfdLy^}c`@#($>0zr+ClX~*PBjxX$ zr_PJRGpya=finA`4D5TTb~wq)KVK)9StThXyKxo2v$l-5a$>G^%48YYH=CCqk>6rU ze!MMh$(m!tns1uVfWj*Nu&{#b;PUbb7YBQPl3@tx$Ki8V&$-_NNzQ4cO9Rd={Rba# zXwXC9r`NJ~ixNQuKRhgq0aEbuECh!d9>&HSqRPU@wC$Us5Csw-ul>jFGJ%jjzkT-9rA3egcovGp3bUpYz*!ljE zn$4|v4h9B>(CBC^#H{yDGlAdL*Nr6ewDycAK?8oe5)!CGX(AB?YI)e@87re_xH~m%BpH<;UpguN4Ey+8!o8!gnKXdSeg@wQ8Dv=jymP?qoqG8<-XN+I+zdpZjHt;b}qgcCrZjO?K zO^=&7WMDv1_-s9E_wX=SwV-SLM^Oa9GuX|$l&Pcn?621gtu=8DT|(> zi@V}&!hy%e#%6LUK9STX*`2C1=kPgk;Iu66AO!n z7Z(@o25ktPI)^9b3u<}K4A;MBV&mezZfq2SOUhx=OQ=)t)ZNvJPDI*CEKZBX=do+> z@DA?9$x8IJ?fLOe4@8T@TB^Iz*cWvbrVo=%o?K6(sUqXzZrMt>9B!!3`kim(7Zr8Q z);s^mQ6O3U{d*ZgMbgi&rJcC@LAuYazP>(>l}J9g@K|^5+@Tf_Ag!;j$6UE1VbB#y zbh7mJKD+r4#jNwN$jPrn{W61gRC)#m8i+>-uj$L-6oDX8E;ECpzf%@d6%3+RC&t2; z|3)k(N+{3%{mD9}prN6WRaESPgWUZ$qPzm(je@XM&F64hl@&gkH1^o8UsKW1u^Bf{ zNKK6t+O9)$s;4+u8@=x+6%kB;Vec zZ1(1ZD`d<06!B5aUsTWk()AsMz%4GbfdIJ4aL3^Op&(9nJ8yD0E=y(S<{ClRFh;vC zbzuD47{i0TYL**eprWCb8+KxLb$2g8#CHrNak(C)3%Rp;9dAcQi(TE5mX`j=V@(`F zKpx_}HuNM@C8MtH9>kgygrw-nB3hNr)UBzhsmWGu z_q(WT_tmbkdGz`7=c;HSx4#b|n=vvmGrJy<3%cZE6fq}!;`IM~x8qnIi>PE9LBwW|9(5A@Yt2mxewCBc)3D`bBbqma z5T_&vsdQ1_4GKvseCC%Wa41JxGp zuZMWXuG~HTmiN4AY;3G^`4czfcT@BvV|Rc576t}};EwO^V!PnE?No&{f>2IQP6C_e zSqeW5A{5drX=H5ZKo6_I=cnS>nU^~eBy7tUrw1Mvdp#%!b#?XW^!6YuI%Z~tnaHE9 z+J(>ht$v~5;hdX3?z4_qWjSz3EB92ycl#76>)<~*kb=8 zRnS#pqD0rVCX!N!7=lFh*)v|ULIIAy3$6ECT3V2ab|a<#J*0N=996@g*>a4>AFLKy zeAgFR#X34VTxxo{yECCq!RZRlSoh4ql16;Lx>034abqx# z-tJz{eL7xVViXjVdwg~&^W~;wkP#dl9ScS%ndAEiDJXRE&iUEd%Z4~+=jNVkYg@TB zRR_O$vo6fL#&y0~+FAw?FL>^{F)C*+X8bxRh`_G!QeZS{Eaje)v-6?b%BGONEnEXM zMBy|1zQMt8=2$7av9EDi z&o>D)xcqs|H}4_2 zwO?2J;*n9fxVzMedAte1k-(}OPC(9UFkNLiy`}GacsD#E;zz5$f5edft1S)MM+2t= zAvY+)?ORSUVR=YH#bgQJt6lKxOyV+kX$ZW1>(=7tW(1V4Pd?3~_n=I@ef+A%0Ir+h zTme)&#$m_n%VWt*6@y>jK0xW?sY@3quDCou?t#;aO-d?=f9MZ+1D58Oms9tW6hmME zEYGj_{~Ahgna*s90t*Xrsbl=TisF_|h4%Um}#QZ=fhMbEI2XG-O< zhyrO9i41!C`#bBM*J4sq-m$fupdxmstxK0?>|3QFld!vQ>&&{%*gkytP~6CfHdi@4 z3P9L+SXNmX;pN$3C)}PN<;F56XJ^ZhB%uazPkLb@AOm-y-4qVcsx-^Y&&O`|J{})J z-5xI{PxINAEA)8=OAxYU59B7~wL?co&wxN;e96GE#x+xEe$(r4BbY?rhp2Ymi}~BP zZ!u|UQOFBgs8P&0WlKgz7XFsX3mf2}l&mZ^ugzotEMtSdIEFZ@Tk?^HvvrOh$8+u+ zcC-9Vdtb>d7FtAFPJfg8z;lelfYSrvRF@AY^kpn9AANmCik71q_Wu1HSfIMEY|d+D z>^dj({Ubjxzx*r{O%>DsOYo4%TD#03(Cq@5*@y@U10u=!jE=YGG#gwVy_e7FtFwaZ zOCox)EBWpo2deFKRUjd%zW*f;U@dlsMe)igX{qW-_ZzrGmS!l{ezUW)QYtDj>oc{b z9tVSb($Ahn%}=BXI6p-qAlioyW$PLm!lCFoF8CgY!M*wO*Zp+gl*8}BgNTBHMMqax z+QK5=~AOSmM|UjNo<^gMsvbv*d3lvQpyKa;5M z_ejungC2Rhfcj5{{jahr)6E$F!W%P>`BjbUoPLGhO52UJ*q!b)qdo}Qk|fI*3_uC9P8{GmYeGBdtD+blJjEHjiSc!A5u z$M>V!`eo`0srOE`Kgn>q7#rMOy6GBQW?>N#0G4;4=DbC6k@?|wq1o{`&yBrkh=|4% zq@>UV-M8QAHo8p--Jzuo;>Y`lqfOVpaaj3E0Od)7)qSXjoiX4LAd+RZ^eDWV zZ>ZbiGqw6NO6l(HHZMTG7%G=|t7~iKYZkCa+3?SwY2O3~TekM362a@=UCz%=PdShW zVP%ryd6MAl=5rfKJ30Pev~%em99RXg*DqhbWT+PWrNk8=4VFM5AtA}5S~15(9(F}T zcsQsJb#V? zl*aq*s>8=yw~1nv%Ep5KhPC>C-5a6#@6swF$Z0-kQ$OM%nNil4R<&Y%VP&`jm$i3j zd3l-Ls0+LAJTEU#68Hlk(?h|X=HvPQ2;1hp(OrJbvRFCcPr)atk9wI{M(psOdl|Hs zS>SI_81?jqhLW`c+P0vyOZ;CI(BwK0OZnER#vH( zL+N7Cdd*(#otmrw5>>W0w3=-K@UezS{*q;Xnp%rY(pO7%&@PvqHDpbTv7|ute>+4sejyE{H-@Zv` zXb=OQ%Frlu?0;Nq(4X)aFmyX4QVysqHh?JC4#h5Z(S}lm-XfDYz!gM*iY(d6~3f<@IdCAj0QafpY-+LzcxOQIQc#I=^Na4qOLB_>DbtAX30duYUlc1 zp!UF45gsJ`^Mk_7;d|ynA?8Pc{D@U20V=-}Lx|DTOFh3+(}9m1XnD_4B}(<0cfU*C zqygwA?ut57Yp>tc)wKv@9Lc93#|F#X_kFP=pq#=Vh%8B^%|~RcI&}eET~ZK>GW)G4 zJSmJqn7cjq{kx!KM#eu-re$WvdsS;UMoPi_MjY;nMyX!p#f8tT=UVCsKvd*03O%*e z93trKOJ_KT70je2LdE&w*aQFFjSvaDX4DbDW_EUVP~;^X9Ln4pB{E?*O-GKvX`(0u zUISoQr+j^!PcR%`uA|7*Vs$dSE$eStu9 z5sN@0+9CRPfnp*x1xUVupvyc{RQ(T7?*UJJ4WR|FHUqHb^cI}V_;#byFL`=K#^rcr z(RScpC<%FfC8vsJ<)V`atkHHtEV*LJ#Xc=#r)E`-X1ZJ@JT z{*85Y8Sp9m?%OH6Er7W;yT$?9Z0%W-^E*&?baws#HADDxHGZ<(fnfp8gwKIeyQh)0s0U+qDa4$3htB?=u04#OoiZ&(SOhue~f-1qWfG$yTJWE zX@Efv)^;eq#pGgWXwkqAFX0-Ssn?bxxrS2}rbyMJw3Kb$@7(qRXr$n|r?>Z}FtNn- z$G^!lV^%y85)vEl8qpB`{?}gJA~uukka!J&nP3wT1Zx*RT^mYeP*VB9GMA@O$N{gi zXjNnniPF%xGAjd8qXqE+xw?)Q{G)+w8Ux@3D(um`a8v7Lyb>Z(PC-Eu6rSzYYridC zcX#)HTQejwQ525(=qmbCiPPMa)OaD%ud0RKg!WSXomyG?{TuUxd`{&SV9o!QQwJWK zMXj7=>gHrQ9TXvljnPN{)_c{xjb!1YBTgdHHo{D0Ux5QrxFc5fE`p zpoDdZ9M7U5K;Da)_l>3!`9hiZQe8b5BGG7nwQu^Q`SzwdPC?%h8ZlX00(zE@)~ zi34nUKJba}W>55eKF=aR#YS)-ANd_=;m;7H#DrX7|Nf2Elo8xxN0gVB--9F% zDO)HzFK-2~j>qBHOULCd99u<8OG|#=Gwu@o)+ji{_%*xnB2uLC0n&j^lLrx`;7(-W z+dhYAGk{#r?|&uCsFeH$vdX*rVpIrr%b)bCzkV4)PUCm`d++MvK-mXY**!78rul3a zNUBIF?lT5ySjhgYd( z^A+=n^@(@A(aMPX^7o>1d`5o)-KT+}`7L*xNQvZFc~8;hR*q< z=5D$?n(;dJ-7KyxGwHkKvNe5I?DF638vBK)--Dmf5Fqn8p6nXtzhDyHZ9`k1t>?;B zOhSdTbuZTS_xJa?Je;W8X*nmndp8);jp0bH(hZ^ZpGkdhGN0fog(@DY?GWI*f#DK(yzi>Rr`E4|ioW*!N!@b1X zRYNd(o|21Eek4}*JI=CbEGD#9)zs8f7M7cdNjC3~aw#>PQzXp=t+#W&*&E4?yx)#w zlb(yPFfqMWEvV`{b~j#nZ;YU$qXRnd4oarQ?KVJO6v7@VJK`@1V6kp-`@SmNp|&Up z&MHRUtzKjo4G{gOkGoam<-?&rL@*5fU{=MDhZk>m~vHBwpwG}%7wVdAdD zi_+wIz{slClfJ{29wtl3s z@Z`JdE5h3Jq17S-B#<95x!sm)pt43-)D~)7t5i{z!OA!CJ_%z@+ytWF#0p3e#WyH};DbjWD@*4Ad0aUp znR|qkERRrD&)TJ=Ospla?<5wgRxc%b zfW{Re9Y1kRh~H9`to&Ayu@i(xhV;a2 zLlOr%6T8^;TotAC&|XsH`iYB>y3g-`fCT}M?^Rz- z$So!dv*c}s<>)t!;Zt8M(EgB;ij??v!@$$r;8JC=Ft701-*atai`NOb0kTkh6!zqV z&nE({2r#62UIZsCEh;oNBy@Br-peyEDt<&D>bwq_kQ%<(U@{Fr24PD5%Jl!7h+d3g^&@X5QK_X1=giMKZ>7k~W;}Q9i5V4 zL~EHWBR*dEf#Y6tvs+=fJ2Ssb#XQ|M-M%Yzt`Q&z8l~Mms6NRu_48}W4d9-_U+5OT_?Q*+#L`Z+hIYz zyUVPxh!l?iFcwt~BjGCm@fFa#KJwX9$;-zF7dz}*jrI!JEYq)< z3`OSsy@~X638Pc7qL=Cu_1Zt51Z%c95e%6xh(Ax-MvnyniiUv!W5MtIF_MiS1t56J ztmhd5U8|_9Oa(z0931Qxktv@;EW@ftGV@HA2>Dx`sd~mddEFm5jNcGSKw6dA@h`8xj@tw z-Dk!JE3$J5Vw9*48?>ACS4A|$E_L1Ka?~>TK?etJ7$l$bTH?9LRT-dg!BPRBcu<3| z;dZBPA?u`)lC)vC&F$RBquNQ9Rl4KqzP384rmCu< zp%DTkcf+PMKVQ7oZVrI}v@mi`HF${RK&Sh^>OA&n;d+IA`N9O0`p@5y23KpT>IkW! zNGF|EtteIzySD(Sy*8xl8tZ9=4w%do{irxk>9?$3z#C3BsALXEMXoOnkQgN{J|3yw z8bd>GeXKAMmf?dy$hTSbr-`n|l_>W1_NhHq)np=G|JuGrl5hTSl{aRvwJY15mJzaGn10u z+uzN4I-I9^9bZ*r@dMS-(J?e4q7#@x5M|y z=TmLJ`V)~N02DKnPrSAr(0gQRqjbRm4Z!DWDCj0W%!5wMo#eWReDVEXuDOiY05=6KQ}DKtuMKndx9 zcgH3theLi|SF|9KSbVB=cXn2U-Tn-(E@q!O&R_I31D@H+RVLkc;e3XY--*jp1(myh zuy%}A9u&r0tw~=vZu8lk`_PHLx(pmTN(xjW(n8gXUT6Rc9w(n)uP z)Qyp9UzBtS0`u|dd0?Q?%b@uREs-`5VKS?#keVqLl4)F@w_bOGC=%K7wZ9)v?COM0 zyVfoe@(ZLiT%hkDrWe#mJAeiQy(|h)?O<8r!NL{3*zJ58jg%0C_j~C);3|FxO0D>j z9i_Xw8xa6D02)zIDri?ch2_uTxo?7KgU(hIl9lc)cSEnR1KCDM6>_KLog`nm=D8!(A}d~4=8$^e*`R*? zs*FV(?Jz_i(m(M$il)sxvDI+YJ+T7BqW4@?ZU%D z_Eo)X>3d4?WtKS{8o%N%@vZA`H}2hy_XLF>-@7mKQTVd_zLsn#)a z@=k+mA}^`-&p#Q1(A@i6S`6KVVtJQ2P(_#3Y14(B_t>%a;VIn+(sUHN631+#x)E&C zKckECGI(}Xur2q*Q}z`}(g3t1Lqpf?f##RFV=KJ|^)bH{i_?j~9gTUFGj*!Dx}Iru z*Uj9zwAkSmHUNLE)Sn{+OM!Y0>g%~=CAb0|Xw41^Tq~|OBrio=!qwwl%Q3!(6^x?x z{M?Um&cc7vLRCk{DK0dY20C`j`!u`V0|#lqcj{I=I;&&FUddgo!i05k`r3I6F$>Z) zJ?P)%7}5qME{5)y+)c2o4Spz6W}wLp%%t4dL~8U!SuZ-u*j&3PRmcc|?_3*GwfIvz zoDMX@J$k~cD^ln$KX~uKi#Kd9J1%#Hpl&R~hd-Y#Pq7F|Kb2AnEVMpsyNtWF`5q-R zR}MRH;5BE~IiO~(lwM1}Ywp(Q?1;w!&z|NGhb|5b!V_;-f{QQ?FERe32xL@utK^lMFd{A1lKH89^)#K*s zYTBQU10SsDeBWK}9OHD{_>__MbL*o!xPCxG@Orl7}R$k!E%pyaCP|UB@XYPlXGeaUB-Hahg+3gs?tmEibJK9G)iPosMiJmv#)3*DUSweGiadKC# z$3TE{#t3%zKXOgy;tTJ{<754<^K&*QC17$DA2auSL6tsP@8Rz2G5nv6*GHMCw;oWh z5N2qgQC*2^QK@)TpOxbyOaeIZcmH91!~K$e(29ZGN{-0r<$uTaN~dkO+p|}SdOw)& z!jvHZfx8%N_V8&a3rW&vfvC`D{2KQn*ZAm-f8Cx-Lcc}yoDxz=d6n?$>_f?z(zi8h zvK!fwYMN04M{t`f-cz;>kp%wq>DRj+;oS1CL1kC%Xg#_%6xx4t^S6d*&`Bzl&TZh8 zF84O(b=g_SAXxGgS|t%0&IR5kO*v|=Oe7e+}sOdJ^p*K1bhv@N80uyDcvV zb`*DxIU|G)k#OtLT-~0~VQB|VwL0tQ!tE7rnT({`!l5I=9IUjh+c^GgFPlqOy#5jN zTQ&xO_G5>%G__t|2?@Ha2XL7WErQ?VfBHsf9o{G{G=zK=EDb>wm?+}E$+ao*V0GZA zHaJ$|_LprtkR_itY`*u1RaMhqMblgGeRj^@HbX#XB*DQhsOg=O6!dxbswG0xo1Xw9 z=fkvbJ(X{#(=@unc##$q4=FGJK#LyQb-Q25?F~T3!_)^w3DiLU1O;X$rV1qoCyZyV zX+b42dgv-5RHZaH7rqaU7H^4{SWL!4OKnhg>uYgR*BAwPoq?unswQa$A5PJn!$*Cc z!0NXnt{NXzdrd!bW{5B@OgyuH{KV?svl)zw)3tQt&JY4*cge|#bG%eP8tJCooG9fx zNd^~}WWft7e`wy=-1;Q{cvoWou}6y&)Bciiyz@P}1AGM4<$c0Sm7w%bp`kWCaea4r zdN6NnP`v)2>>^X9ddwfP&ucvQ4YwY@+!l>PIQOp63?}EPwE-uMlrNqepFA`TkWLZ6 z7TI$E>1b^x%TU&a(;qEi*Qliq^GBk87asQc7NoNK|wg>JLU;vlvmv8H9-yT zAit{kg#F>xh872~X| ze6IQ&gD)NN#`}Y$A6=yvPi&}nK(F`YzKql;I#f1ywkdNb%kR@B`P-jGxHm<&!tW=K zH*WHMbJfNtnED_6u8QBy8ajeVDeerUxaBI{Hn5huerpE(6FN&lrH=0IZyOu8BGkrh zKEITVqIWf?&#e51mhW<(>In&=E!WSTCZ}q7r{H?4YIq{;tW*_`LSfLfQkdxZ?W~x7 zMYolWEK+h0mdDC7+Ie!nYtmbo{@g3tTGNEUr{J}@H}A1RP-QnqhHTv-v1I!71s0&M zT6YVLQvd9F=YBTUp6oYju2+jZgXhfY>o*W)6CogO^%z>D>JcdM*=<=j-#LrpFIdp} zZ?83YC%{CIY`?~CE<7cL0y@=35Pe9;9(050DLXZkdJ}kmY-XLtUmMuCH?_>{-fzSY z_}PCqn87u|-6{$xZYiRMg;IPJz(^||i?rSlDs($8r!#;w{vcr7pkJR_Df5|lZJ6Fc z9#^?Cy<1A(&r`aIQ4OYtr{>zegBT4wE4YuBLjBvMr2gF;JPu*t+f$9N3t~I&?0a`1 zSR9etQb|#a5{N?$J@E2FwwMAT0pGz3#6R9kdoka;YP{(s?ut>|p^2fPUo3C&8#fE* z+ATk}^vFL=HR;=TI_g0G9@c~4#S9XB3kAQdy_|vvYiT^&{!{f=JqJQIfKaj8i&|V^ zlJ_Nz(SkludE{GTYg~UcbHT4K*kN&EQAALtWYQ1os4~?lv_EMAs4TNFSYL4YkHJx- z<5T9&%sBz;{RfhVtL=e5+BMFHXlIO3C*R!rbZTm|(fYf*HBgQ^+4pt5I3H20WW{gA z*=ac)RjZP2I4?8$_)B&a8`|u5&Fte%tpJCB@)4r2epixO%~w3!A6;YgQ?914vW-)Mi18B3OYnzQG!gN>hGPFPzmR1tC(^h=k9DAsk#h_OWevBNpJckD|Y zL#Ku0c=Sy!x_TP^Z^yMF94JLtGA9_S1sGl|(^+a~-Gl{UDaG+z^LK9%O@&mKmhvPr z@-Vi|-0jgP&9^nl-+5>9%K6QXy*E;EJHBcWqi66JKZLT!OK~m|Y_5`R=@zx4tYa$jH96v(p&*2yOZm zmsGsROIfMWI!(^{H`Zu;H=Mv2o@?2lWc@%{74sKa#gQ!8i;WPqjv_vZ{7&P$q1@6bMb=M%RGYhfWG7E6`uJg zWq6bAa!Nl@n{-{N`rlpnYH?n5jN$UsKk3T84)HZpTt)wj*y;FU1(AKi@H@=?rL;)=MO-}bG2n|mQALPjv%;nm# z?hE?AVEz>{amiDgGdRuVVXI}692&}E-lu8*Kil!5Cflhw#|v23R5@a@5j`I<|D$Q| zC&Mj@G(RZ7^VR?ReD>R1yeE4DG!dp!{SWUQqFv zhm^dhXD9UQTO4XRGs~CU;I`5C-6$gyOe?Q=9I{T{lc$RJP-Jd*XP#)%O;F7|hsjTd zpOG=Zgm`F?f!507u((tEm9Iw97m+CCYwg1l5B}V{m{M2=LLE=Q2U9t=9X`%N@G||) z_vtw@DJiAk0>PrMUw@Mt^)acPecdCKS3HPd-utuUGCO2l-wCdkL!(Gm9BX%LLLwf9 zn*4HeI{{+fl@puTkE)$Z^3*0AgQ@ykc=5Rkw0kxhK@>ru`Hu?iBSn`v-HOqNtPEcrQ_K#6R0*wv5n}?BuXxWEltHdv< z+h)erJqaRPe$e}K(mRz#<}&Gk->@Q6TaFSoY7F z-7!0@JBZPzxEQzyzW&00qCLyQQPGbBvL!d_n&L@MH37r6iMe}`sqS2G&yjtN+MC=e zF5gU4+#2Aar8Unj=oI`PJV4g;Reno=l#tS<%yjS1JP~m>zpXeHMY8MtcrmOVV)37b zLv>9{9K{>W+$ovAeqA){&>)%`kKMO;$1&+?DWIKh@Qz3H}Pg_j#A>#NzExo3bXi}*Ku#zUVyUe`3O(5WTijQ>G<5$rwxwmYX` z7U(DGhT(HBb>)kE&#dCox80hzEO86@_(h{oT%3RrczgTzID460lBsGJbfmri>y=vR zrtU?ck??@FBJD}4q=Ut{?<4?=rejU~Tu2EWaq^%AZ2UF1IAoBlj8-x{#O#5~@E`%W zFP?igbz^UnP&I56(P%{exdmpBF0%It?a7&Z+3%i!C!H(jh z8p712V7M;v-1}Dy)zY8?C!PK|e`_6T{H=d4b0+BD7ZJ!xMW$(Em{6eDnV|4pqss3G zboBclXX1)8VqIvX%nzcZQ@7>)5-W{G!H&SV!#Y;lym!1AQG)tSBOp&qMH_KPr$jW7 zFrew{UehNuzETv^)3M>kbF`eX(&6UkQ9bs!tIR$z%ol{zje%wrq}N<2>z3YZO)WF8I%6m zXUz@Fg~pEtE`+|eZQN6ELMd(A&{WtD_{9>e^1_vSiv0lp?sd(855K~CpXB^S)VvGw9AW6q_$h4A zAK#XBT`6~K{cnobtzPgs?RDK&riNCOo}M0Zhy_H}Ey@JB|8Ixc2L3!xSMtglK7)V4 zxBBO~lrBX{1sd_KX|_^QZh0E&wHF+xl`UOUW9e*KA4V7hpjCvN4+8t=9teQ6(CR=6 z?yaq@&5~U5-vpa;`S(xilgsZWj4HA6+*ZkEY?P8Bpk2Xk^tH`dw>n%?(D(&tS0RA~ z*~)=gtim~BA|k`q0Q#7QXQc&Xo~jYvOd`6_a5Qzhe4sFzB4Ad0EGIQ;V0UG@gPqLl z*P^jj^*8`#EX1K(u~+JUi5&4*2TL$8Amg2~cNH3u!p7FSR*K}`QTh(HdzeHH)0^gs zgqRDDrrV1!AX1~06})A>SM42C3+CB^^Ltnf=|xgZ7o~(gQ+K&>&+c*rTL(-Pt$d9f zIZp;B#rwqT$`{(tpFfuj#%pVG^-|(^LDS;Kb28mu#dGY~v--y5&Pz>Es;ncM#c6A- zN@8jv9>Jw%M5{{1Lp%yB3scbS#Plne@{|x@x$!#s8^*Wba~tu!_!Zv;_*0>4mD7$6 zrj~Ay=k0shT{Rn@rj5G#ShF4`0G{v>F+Lb5H*^%cQStE{hW%wFN&*L(_=QYQ>{ zi@t@*fW9x7&D~xByo+#UL17P#iW;9H2LA!jV^W{N6ai-yP0jqvdY{vZ;?B`b(nj`e-Nie&%j4(LPP8ji|-w7q<=09P+75hLh4tq8p`f!0g9M+)?W1JY9mU}mnT!)7-E3+ zWW6laLpDahG!$;!6J-dFL(OI{9;C7_*HiYA!BK7VkG50Og!@JKIG-|&MjC1op-LmO zqj!w>6F0$c>P*-)FuAx`q9RVf!}LNtSC9~6_qA9!5p6%1HK}h0yp5nZcE8bn?WeY+ z8vJ1Y4I8QnUo7)Q44Qv0jYFa^hOLehN4^^N9h4=N;BKRhHS_P8fAJ+uC#rjHC407V zl9q)3=HHTAhJN#w z$Wh1~y3{HHq%;n*!RPVkw#g2OZa&p?6>i2sbcU$wUAk=uc9(S(d`iL5c|*mf)yzZ7p&qHDu-yNQ+iVnQ?)cGy)+ZyDBRyRq^83 z{0UwJYD{97Dk3gf<#A8Mu>-C36(yHTU;d@MK_nnx{nDlk^Z#k(eM)T3r~dAKKI>Qe zzxP&8QW`M6PZj*UNhdYV9sa1_RGi(Z+-`(X{0MzVF|5~4vAE`i^RKKB1G|?c0^KK+ z^?0A&8RKQ##*4c;<bpGL?4Ni1iE7{>a@eD7^ zdK>iRj}3H)`J`L1mvXwceH!x%$5<5+itfKkgi=C&w`@->R#U?FcLeAL$E-FL zk82RBuD2!~v19zOWzTU)oN>#~qd9w-aS6jWWBL&$Fz^>2D5{%Z_%jSDZc&gUM=2mj3aX!6y;j==Hej9YEypZGdTX=fJY zsbxk}9dzc1M1Hl>VPo_LibWL&Ne~FY6%RG=A}-}fp3eZAH9v?Wjc$hVwj3zgR!$h- zbJ=bw2rizAxJLMYV=83BztSst_^@EqZo-A6D$av1AMw3_67lZ)xlV7d#nxP2re_l; zLT2oTs}YVJ?cI&A(2cAX;|%LWPs4)5+%Oz!%Os|&M`(+GzO-Q}yZ0O}JAIlZureDO zE74MqXZ*2}`iSVc?l>9RV4sW9r@7m0V9~wH%E}6@B2Rs(`iXqb%0l{!>*^*& zr1EI0Px5qFJ9j^7@J3`E4b=ah-wwd9^Q*M`*(an%ORJk}wkO~H-_9Nc3Lgw`@p~V! zAgJl+(6XLJO2Evc=;c4Pfi#hsp&tSyGE7$mNdkNTU%hJWqvp4gjXe~Z!PjNNe4j|* zu5*GT+B=fZ39sY-qy)`|A#ZJ>fR4Sbd70Z>J z)T(AS>q@RFUMdX-T2_$Kjl3UkVHa=bZi`oI7hmo`;}$ugfe3)fKb=OmK|Mo(oU=RE zMZSAW9>TPr&wjA1Xq2=PCB*o!d^^uNwv7>BgVaTi)Ir7V1pBoEc<)dVNS_Bdz^4TS*NnH% zK7n3Xql;>6hT1`fWa^$WUCgsuMuo5pB3zr5Pvj;)>ngiJeu$-+7FbxVYEgt2W-At=Fuw zAOfoe3Ib-fSkP7$2kIpw7m|!BTu`W+X9F`!%m?cdp>Yyt%$1utBq=r2JzC8Q$a{Rl z1pDZKU6VMZ(l0e}?iB(Y=;2^6ztf+{_7>z$xAPbp$z4E!lN_9!-6=w&$^E#bM$hWe z)R+^xb`+5|zDib$>PAoRH++?So}s<fCh^Z>yiTpwq5f^0 zMI-5-g*?w(Ka)< zK1r&8JmkUA>g}NNxxF*H730F3?-LadTz&Wiuo~S_8XFou*VWYx9gU8@Ku32Feoa@X zWvhoP`8Y)N8|COy^^HpgWp@vHEo#>GR@kAW_}~!d8xJhO@3$) z4iCH{NWB|IFj0^OG;nhuhoF%?W4EX%Mbc3L^!rg;W-dkH1*X9RmOs#n8jZr4A z-z18CZ>?L>MXoG)HOGwliE%bqvU1zFmX*}>7~KKv5xu>=;xN$yW*np=BMSz>!4#s| z>I+^`PDye-Qf_YXU^m0?>XbA2ul*>q<&k3&c8kv!mxgI zG@vW_F(qOSG(?y#hjCCC3y=b}eAJ2uIeq}0-nA0mpa&(_=Y5z%qTD*E=>*@Pqk^d=H-wTkk?f9k7uuPafp z`(Hj+;-o>h$6ut^Z6v;VZH62bCf(sZcI$~1D_se?EHFz=|5ey)m^TIE4ltQAJa5P^Vm&@v zDMN9X^y~a=+nME)xYP}q_&W{Xex0-q<_*YSX|{xO|D8t#KcZD?j|4UhW*LGh?jFBG zM(Sr;0;NF_wRn0PUygF_8w$78SPz~`9nt0_OZYN|-DA=>mAi{&)r7pEFz&ZjuEUD_ z`UZBZ(T4-+Vhhin$A*~I*FvXK67#Zhoa{4kTD_wMtI3qKDRE@r^zwam)d#sMBZkLXZIMY_gS1ZXBZA)Z|JyQtWS;&=M(THE6@!v|Uoj}%b(fJM zarRbd&2#L+jCY`D5q$kYnA1WL$>r-$Zgfm6Zbgwjq+RJw5yEP6)@vH_Ab|VD1TPWK zqFj6gk$PLdj~+YO>{uH3?^U3H2HDIRw6*9xkOa==M%(VA5=)7x`=`r17$Agw0=CtH52}seb zgP{~T+*$|rkspOG*;3O(D&U(|dQCY0bMX$zjd8D-Sv_z}cH|1fWGxEOGsniuxE1>! zXP8qsG6Wy`3CknNpVl{0hTDY}QhS!fN;X}vtmSo4T!lQXqZOzi-$KtQDn`5WCFs$6 zOOtjVx%jpBz1i2AMyn>9F&tnf8H|LO$nlx%Z2EUFS`S~~(FI@35Dr#;ZdrVogy`8A zD}*n=NW>J-S2KV1vLuJ=yQ0zw`x_EY+6qi(rW>PGhc1kW#mmcr-D9WjS9JEB8ACKG z1sGrAVYg)$LvgY25yZP?MQ|Of(P5-adt-rIxocyN3%^r6`(ta93zC^Pe z^}g>vBIHo956rV7`&clS9Ry!4kySKs6!gpFCrc30!C!%dcSu7F|pCK3wc}1?X z<>J|)UyXl{Jpji*L`xO5{U@nK!hmdq#kQ%_eYN659j36}Q_ae{CebsE!(O(MuDrJ+ zj^_(~={dhl2io_(4|Q+j7^tWa0_1=h-YCF<$RQM@!x*wE@_ScCoZ(za;X6i<-)WJ3 z2_u-#VIaX*=fw+?!tZ313XM*WQv=QV-f^pya*TQXd03c97;DN>A6QvcNP^gozR_{~ zNPxIo`=H^`8-q-<3c8C-K10HY*TRd2zUZJ1Ra=(YHeB298I zLtel z@&DD?TZdKEegC4Hl2%GO1StstrAx#u(n?4-Dxq{qNhl>sNlA%xhom4WA(E2PDM**3 z#2w4;?|08V=iYOl=U$%ok9WIctu@zNV~#n-C%k!8QGPx}iR$~NAD`Tao3z020b(<< z>qVIWh8xiaAtfX82Zp2B-pY`$#3mHPBHz7x$tdN4(7hn*M_`9YB1=UTcW$@Y^EExE z|J2WiTVVMWPx9LclpmT!k*L#mjnm(^8a4M27aQmH=H(_*>eCQT%s2;`*aNtk4ykt4O#_c%!K&Z@~MAM&MfnmRXuW73O$Zqqy*g?Ff{betMXV) z+O5aE@bcrRIYMLe~4@N4#R+Wt^fvXE`&)uG?!h zy0ngTzr5A?m*MhrHWr)DdRC1wpW7OTUSoL|t2ktSz7C_HuC&Y82;ecmY$lw)09lxA z7zEE#ce~nkVML2Yt4a!Rbk(zgbXy<~!Xhd8Wz^hRoWWT8!^BX>a$iAqQIb23>VnUN?#Hh&sfzW#v3>oDZC$tz-}#6HkQ~+( z`2{3&qzf`(#&$LU%p@I9sXCRZxFDD!?A7S@UU!FHM13sA)2Id z72`0iL{@E!!+3Q3DloogO9npb-ZvE6B}n>qUR^d^=wVcEc#+&T@ z%!PYXKkT@*shR%`asEQH>(n>8AGaiM(rYRN4zAQhiT3{yY1?tr=&<9C)JwR8(TT`k zKr&_m7=F-Fz)kU3xrPMROOji@!zzSU)=&S6akH=V3{`WFbB?N>MSj?sJ%~W%o5%RP zW2zmE#vzh8KnCDeZlPdbxn@^ilHkMqM{C!M)Q5IC&aHW9#u-8cB3+dROCH>GPngE` zMIi(j1m^;}QjnYBASB_!M2dccWXbiM_#6rC`KgJxsLY77zUz@nY@|5UY*f#kHdbEM zu?_t+(DZY`;ZQU5aWN`2;95+yz?C4b-y!T2ST$c=khK^*2}F((#ri7!L~avGz0`p3 zM95T#1_YvEQSC4fG@VOV1O(JNv&0^1Yva}#g^!KtwY0ZCoum){TUkwDuD#}3Gr7`! z%z37EgBs@o&)D1_>k~KHC7q4`f`BRY6dxj9y!}LBK_ImHo%%6#Al=YoBSg#gkS# zkRMg!&mX!hs?E&o7+%Ocm~bqoZ1_vmQsdKD;F$jpQ?iJ6jO|mB{n3jGS3nU5i8`>4 zY@O-teeM`M6ve?I7}UIAsU7+gmfIstTg@ur-!U<-aOk3OYx&s4G>e4nxm;uexQnq(`qlEzj(lRnu%qZi?6(6XB#rwWlf0sW*_U#z@Z5I7oS5aDChrnsW z{@06AzQtd52!P<+x3-Un`G9)XkJP)5LVqnR*E2+62_F)cKO$hukG8)|#t2Lk~zc2M&=PBXU$b5n{FB7 zNG$EfeaS8vhSwZBnaHCK&(_^>_I9+HX4Not!n-FI`=Y~qb%s}Y3Jcol5`9V~f)b_; z*SAjAaql$B;>oM;^7YSt4LYqS5yT0TQO$brNfDn^EXz5^rN=OtztksItWiV4Cc{d0 zY|qL82Hv=z2c-=BC02z9R(!w{%jx_a`eFI9$#-SNS~*EnEq_rh0{_pW*Cq);3K=+= zj|&qn_*f6iRs~EO?r10A_<{n?OA<_koN@-VWqp?>IXO8NV5z^nK-{0_PVoqn`F-=K zx?PjrO5nFdo(64mk0+w^Q5DL6?6qE!qn;H1C8fGf6G^!#nltYfcM|yoW5(xn#0P_) z7Y9)q105~5Z&xPFZgCvx+246tFrK>EHte((Z}I<(rv#^e8hfqvHln8I-6E@Ubl69 zG5SnqmuKeu;QWlq==m&8SAq~BAP^VFgMj)EX{Ghg8#~&Hfl3TEyWM3ky>Bq(8Zv$$RW$?vwkuc9J!375Ph`q3{8dkLpr^7ZnnshnTgo3eP><3!yGPOG@XKQ2|)r7COLIy5_SNa!xF&Tf>F9Yu}JbPQV2G$bwz<}e{(thiRrre$GIr94C1p!AMq z#Syy8{K+LA<@cT4b47%{wxj);V`fy&3W_ImF<+{Q8p{6AAH2TVhRxp}wTLkTKu<*c z4TAJ6C^A%oSPrtUK!~%@P#daoU$`f!n=$&Mo}Nup^ly{Vr(aa9U$uW#P?etRyzLzA zNa3{YULf5O*}%3V6sB+Uy{li6o722;@Lgk~kbNc>o1aA+qEf-YGNN>q4okqa&$-ka zxvNOs1Q@}EiE=O6-hCC{-~VMP`ovN-VSstW&GjS?7~efcEjhL}YuERLvn(V84TR^$ z=klKH`cLrMc7Np9x#!rCb&cu8bb(13S*#PLjdwAbK00;rge|c(bx2a%Oqn%rm9E<- z-*AdIA}%{)CeDuIyRY2JDvvJ%rKl01oa={cJRi-DBUY2nOh!a#qnSvG zE?B6pg2S*dGhcp_1wF_F-5b)k2y(5LX#ucSu16ozL`G?glMFAMWkFHXd~99@O{ ziZE_%!&rE!NL7B|UTsn}>F-Vr^_c-lRFafuW%oFnf~=+{1tNU~gf9J<;E#O^ITnqM zhd90iHVJ1BxD|4~jq9$Q-PW-b*OoWB&ec#tZ)bbfYGt4GXV3nZ&U;DO4eJEXp>%JS zeWrXhdj8QG&QBF@5_wfTdlU9k#q>TL#A#S;w=EhcF&e}CFHHF?qmvTlp9nV?Si1=2 zSx`_A`kTc8B$xnJ>|1sQjT*Frg8)>?p+0zV!u~6t8=h-4VQT%{ zsnOWI*cOV$mz3x|SnSG#>aHkb@?@7?dvDw4Ogy=&KEKs`ESvvP`=0RShd)n=#`QnA zjm@k^ROJs^=ZY$&=n3~vBcq?~jygp2HE!Kv0tp{^Rbg)$SQikc1|pdV6m>};jl6^$ zADXxIebp5Um*@@axF@r$HqpA>?st2WNf`Xb2;($+l|C)}Zdp>a&sx|kX@P0L?m0l1 zuy`XU**3yhCk%(~H3hB@YU`GS(hqKKg(2s_Eq;8y>G9D;f#;5+^4gwTA(D5=WGxfS zqG7X!$Z>!gqgE9aB_+bALpU*8z=WLbk=XoG+uY~k;?lRems41H*URh6a5rOFQf|M8o4 z0^yr9N_3Jwe{Wwhad8m>-Ijz&BMpt0P_09ufMoWg&!nM}E>eA8m9@wJ))D%KjlFQu z{m_b|m)^5c7!^x42N%DGyHT8A)W4@fMr!ywxwZE8gBz1FRyHcy2X?(%6VB9c=e|dj zS&3HH)RWr1aB+E&%7H0VA$5pONpnXb`dQ{6iU$Q#0cd;UD@2vJZ5kn+cDHG75tPaK z+3B~Qp5f|Dir*7rktppT^R-hGJFYx?PtkU&CYqoW*+db~B!gt(ncogY1*`c_&i5Cn zV$C51y6D3v86#w8C(RNmVr7Kq(fax_f=WPmo)CtZg@i7{dWGJcs@sM;fkHt=xa8UB zjko%Wemz6v3hK(}GN$K8xSmLcHO@TB#e7x8Zc-vHD_q^nKjP)h##7m{u;*!o6wklZ z?YzpD8VF-t3i+Iq>!6nRIwfEC2d+ue69VOg15{gk`#h+2G{T-0q1b^+)1=D?^R;E` zOYJHmlNqLj*L12qSl&AwynT(uQt?%+GH}kIW6cEzt}K-A`?=_9ldYmccxCP52V{Ea z)U5iCqZ4Sis8Sw*rzw~*Sr{|0Qbho%3n+pHIAj<3fy7k zz2FO69q45Qw1s@5VEOVxVwNkD+ks#7>iuo4BPM;S8~D5|sK&flqXBVWMbGl&Zr#f$ zGnTIpi<{?jMh0R+?@~U?l1V=z*#ZT_Ezs$h0Ud?~Yo>*V*2C0$Pi~-7i&|z2yVQKB zc-q(B5;=KN-Eb5>dBZ%ye3Pv$Ge(9-EP+xW%OWr>M&eoN$ZGDQS)}eRMGh>a+C>H- zAliVahyvAFMp^mI&?zJd{W*^*-mE3d8>}bW-@Q`QLYi0c-G8}SD%rGXLH0?v8%Kfl z*5_UKN)g_<-ItHAZ)yyek7z8nvXm`ei?CuuO@Y)PqEt~~dm(^CpM%WJgJW>aK=Y%e zgwK184CiX`pV;FLo;4@oe0+}*_M4|BGb=tPr%-!TR9y0;3XT2Z{!xCx2GSLv$qv@w zQ}{n)yLFgW#S0;JbDig5d0{_!qDT-YmP_@RVUx#1N*DjZP?Ud2AKB{Hky^POqmU8DP+?{|>Q>u_Z_HU8hP$@a;mlLD}& ziMMLPzpG0b_Mc-bA4GT!s!3o1p@FfkuA$-3D|LYI+Kjwa2~^(?|*Q27?iQOlgkz~pkk@+2@aCLt9IPnaZ zg^h*lC1TyHe}Aqbv?f3Dhuoj9?hhFZIq%8xeV=B8x`?D3ux1=WY(}`(#nK1R{}OOn z(fqSEN*>2&+y)?=aMQ1Wu))jGy+II}KY0Dotz4h1fp<~;F$5FI#fzavj6M{3?S;{j z>oYwQf{7Zml9BWuE2)Ncd$Y1vtS_woK@mv79olR-m!5)dA|e|C73^lfL;L`-&o5`k ztB5%6m*WWlFlqTL{rZIj2}F<=Mr&?pDQkxP!xiq8>t;<$L7Lqvw2*Q-(`9mBuJ)AO zX&q}h}Cgvk36rp^fvN1R`gn>fz z0B{H?56gKgDk@MW6+{e?dX=gXiaGdPgG5p_PO>}Bi;NbtQ`La-&}yaIIiEd7uI=b}ykoY6;*xS)Zukk!S=3EfflNkD%?gr7Q7@Bwoyk z9VoNDkP0P^!xEiZRMfM=6v^i4^fFqVRzc3Yp?XiC;x9fba5YEM=Uar#(-oq1;CCn(}fiJjQ8?~ElfbK_fI)qqH z&aT`D+9F82LnyEo>+!-iw7|3v26=+E4PkghS|AJb9%d)tQC#{p8bwbY5+}FBb&<>9 zn)j^g{gC|k>53i?Puw$!jSD;I@w}w|Eaw~PRO~Uvyf}a@0?wm4c>;#0t+IgURUo;7 zP&Oqb=#VnT{ghoqQVb!5Lw^PfGGy1PrbB+*k^{vP0{_u%q}+Y2oAJ&dW4jw>!9Ko67s;O7xBG$?g|kv#*(i zN)LaYK3%v}vB<5f7t$Lc6JT|?8ZbimYDb&P8`cn zeQ{aP>_wzypt1_|<(s{C2UqtH%vXWofU*aX&>-sk7 zcC)pg%Y8q6Hrth!!j>UeQKvnVEMF(!y_qf*(=;9}vBwy+lr=A#j&XBXyjY7gXOHDt zwG}1m`0KY_Xmn$wj_S2Q;sv@yX`6It>0istifkO;GUDaG*lTlSET>CRl6>Q6A0vEw z$V4YJ+LLs!ZotY`$936-*mX0m%4*DsOdjJQ|3w>#gm*#QKE0p0OKzl3t`8{>aIbRW z4S7T^Obe=DMzY%YaGo&ZvDrK~4_5EUa1jb&wEk9SyN`$J_1;Op?=dJjI?lYw9f8SJ zp@8GpGFtu;5;hXbKwmLwH%}p5z9`K1S&vP`UDtx4u@H0~EUD5#rU4iH%KZbEe&F{g zt;{>o6oExzKKM$NCv!1NRSO+cVT08BmNr;@Z44$DMT)MpB<)% zvKW_RSZdkIDP)z_hI8~sWl8yh@O6+;@yI7w5WWbZuMMO*2lpFQeM!!Y7d{j(uDq*I zET8|J0fpZ%BDNv6{6m@)%XpHO-wEfAX$;;=H51qi3va%g&enzPS#=KHpU=Y;E`d_F zm!mN}>k<@~e%Jhc&QfSeiwdK;c>(y{dcuCP5h8({i95p?dsz$bCiogYJS;zjUBeef zFHRbQ4biN z&e9wnG&GbX^m@#Q;U7|WMR^Mh4a*0gp4YLl-HAp;^s!*d zrTaEz)Ps#J_{8cv zDl%4(5cO6rUF*IIbBj^x0_PzX{Ux>UJxL9(95z4S>dM@Iw6+rEqz5PIahKj^{(F?0 zuPcYAF|YB3>ZzAYwy~ea4qD=N8Sj{0WRJ`~oK&~>d!^K2`OOlg*npu}i6z8=qQ+3b z{6iz-Ohz(J7U-0{9bSBK=2<$1=bPj!SNb^CIOJt#i1e=97Qciq^VZT2JD0IAQ?cb$ zP`Xnfqs<>)-xi{^yVuXYNYL7>UP`mmA!TKL5NgRfBiWzH6&*scMkZobEP(67A>?u7r8`05ny;~wWHDK(e`t%p8CGXwRgfX`_2sW) zM7=_NkMP$c4ZXEk?t7-rmUmT8mMYGF{|6PRYh~A;nu=B2SH|WZMaKg&p^pZ9_>u(H zS-CK(pI^Wu#JX{8G`T-Xm@^`*H4N%bW8O#b54WYB5JrJn^v6W5u9) zS}ffjK%2TD(rAgzI(&1ZedKpR&IjIz?3zV8u8I${jIxNTB zo^dzY(}>m+=17@(bdMc~)LrDL7h1o?MH*~lHJP%18e!~AKq!4mO0)DrhO1{ra4vF? zh3tH^4yT4)Fk$MZyv%TSmMgO1YL&W=omPZ@PjUPrUMH>P7!`_sJb>x->yj5Emlj8K8!bJUBH%kO(a5CX8Yq>K ziDLZ&&6wI2%Yh}1dR~%bJOh63EDVem3)Bz%##Y*a1G%UoTeni$9A2zHHp(9&1N8>( z<=%}N`nx~hd#|)`#sW{F*>;|o1n&-4&lTOgI~Bpmu!e{ReH5u|CSD&)*ni2N>V0cq z)#X`sF7FR~nb6qAqXF%yO>%AN8tv=6WaEkTeEl))gDKU=x?xslFPM2IaBscNxX?RI zgqm!=6e0Io8b{jmyYtQ#21Z9u!e#A;p*mm4wy}+9lS8+9Kit3(Sjb-6TOJ#i?4o$% z?$L0)h9o)gVAZzy+f&z%6&VW>Gap^=wxMRlKX`BY%XvLDIb^wFkul86OepDd6Xi^J zONN&7m_p}o#BiZy+X-(}!U)#Y9ag7%6kW+*q&fE{(@2NRUM-~7+(sYS}GT0hxJ55m1(QPKO! z#V?98j%T{u3GSjssn3WW)DH7rVR2;e`T8xKAC=KaIE39y zdlUfJq_SkycptxiT5gLMNrNRrKyNym%PUno`8hNX3&-lOWiY~ub1#t#L4qnzgZx0srG2E;WDUdzqJ z#0agh4A`4DNRX0eew8p@yHT7J!862+vFD3D_?r56rUxFgX;pR2_vZ9T^B=lC9YAzy zOPK%pJcpj@Ivp>;sG*@43&s-ZWzsN(DwjKltv9u}{ZKo96D;-EWQ_v8eo5r!Rw}RF zssA8BY>5J^uf+_h^n6ronRjEIm6#{yXCYE*cWK@FNv4r#rk7B2ymJ5j zS-t&*Tcku9}xY;Kh3yf$(t+}ZBB~E=En^v9{>XaRf-PCqwdBG(WnD*f! z76~W$wVc~;mT%H%;p3C3zJ4_LT8CABiC77Mn)d>FnUJGPOpd%^X4oE#Sk;tjxb>-Os_5jRGLs|2)X$U9&c9U$^?K^Z2^_8H znc{Q_{lfFr74fgu*KDqu=rN7|*e1(u+7$`%4G~;=hT+*raWXkl_jbjb5QP+Dt6Dsc zilEr#Ex~I3pSlRmtSK3E1bD$dJf&b>k1_I8fW@rPz^On%KK z6!GV}k=-A)k1B^e!>{s6fB$vc+;cNO(@0lAeni42Y~@%f9{P>n_;_$l2#j$5$8LkV z)=UI8A7=H_?-qo)X4jsF$TM8mteWKExqKU^@{Ie zg2(m5%7!odX%8cQUyHTTlwEcU2u?Cb$!7>;HmO+~Py|Bm3*ABUJ#+7p=gJ~opYz|{ zOSz-Kmy!93k`$$kk(fy!;U`;Mz{-lg$2sPf`e7la^485voY=60#JM_oBK;7mo3#o+4RiW%5}e$iDZak_5C-fJdX&U*Z(n;>#k|l4 z{N>YfTa;SPyPzg6YrZkbqwl+Q9*^JO;QuwN-{?%{eUM1j8eVbFs_#aLIlE=(7n3aukkwNuYFgC-JMMwHqn0 zjVuLC+QyiYZ1oMNe{Y>7?8fnL)JZKi4D6}FaJ5^XrIJBW0J)n(cZ1U1i>$-qf}>3@ zU5RX?Cm!nX>1BvCciO3y2(QQxv~>3}5#Eo{nm;HbcC9KExn%=o+b*e~%5P2tSf{L; z&o&GP=F5ec28IrXOelUHDX|%iACeo5KgX5`*Mbp%BDd$-AS}g>Tjeu1|94r|3Hz&p5o7Zv;=Sx=9gG&}w|>|}rAX?H318E;!u;XQ$kNvYr4aVj~vcFxCV?5&)1 zX;rL6Cy8|%_n-(PTxe&_s4H0Db& z4CwQd@17RDK9f-aZm!X&lG8J34=47i)0)9w%|8G&ak%>1V7GMCLnS)F2{uzL%U|^T z17+#{Yi%Yux~YvRd#~xew79xMxA6OuXDXidgO%OdF3Se9Ulxt;J<2NI(yJww^E>17 z33x63_v?=DvUie`cJ`CoUNzDLS8KE8lNs1-i)mS!{ulxOH-WPPrudtctok+5NOf4B z@n3Oreje)-mK2$MqAvS9{uMM*A69);Qx7hi`?0|o$|stC#DM{`$f1~$e@b6{UGNY~ zdG`jnxibQa(Au;M-w%O8lvX$|jmYM}9TaQTKGp9K8ML3T6Dq|2O`XDi5Br*ak13XK zZEd+Q2OFyBLp1L@*@dMCdU7p8=G&LqgwDShHtML1CTUpk2`h<@`V_Qfn(FB<&<0(0 zDca^XIn$Td0$dpfh;*fwRv6FP<})bG=*4Wk2onlZk?Go48*kYmeUrS+B>i zJ5=0h8+OvER11O5V%q3~l7u~1UUx@42}$MVFOeeRlRZYuG?{F^DPPvb*IwA-MbQ^< zv0%uDjxh61?TLBq{N336dXDxB!?>bGqBfSOq36yBV3MZlgZ-HT7-=woE?abElREHu4QJL^gP0#x#O=%y#1d|Yp# zB-L3=4NFN#8;BfvHCvqSWK%z~GrcP}73_Z1$>5j=C8JoNy1msvxhbYrVgfo{{BM&a zo8CDk{iiV@nv^}la)W+}jyP{WKZ7S|>=$figTqP)3%eSMRlw?UQa)AMXh&vNk$Ne&|B*K7n}co#l|>PlYiSbR{NVP2)ajtV@0sIr~YR zex6$3nj}I-n6Ocnw(p;|=azV3q-TY|!|5TBP%$*Be%V0KO@#(V!%)(_sUq`>aP z?YUmaV7pY<;-6JP+`wC;{ztUa)Kj~xTI#Nfw;bE}*jUyNJ4V)b;ngkBv5w;5q*_NErigFEM5qwK8QX0`{k@Zf?|eM%1>ruLb(^n# zf{lkn!q0KfkM1$DHBGl0(WpBCqprhj0iH z3l8oV3H@3z5PzxmvpdjMZ$MQ=MVgH}^XGi1(Cc-zW9dN=YX12TIMfFljFP9tOsTc( zL=ah!sXL6zy5k$Mfr04Shk#1%JaiT1pjTE3LT?ie?F^h;T(Zy;DYs?BVHRrAl?}xk zOleps=g7HM;n$RL_8wp_i$BCP9q-5XyDG1I2=Sqc{-}3*QZh5)0xc4}`dFH64R7Bo z&Xsuo)jB9;otRD}`Q36zilX~nYP+7yvI!qWfXp%{40$=rZA>OgXQcNAZHM?jl*je; z`8z(1^jr~_8I&(VV+G?u#HOs&epdFa{=Fu7D|=z{Z!Xo+ygg4a{mRx1GW~9cezQMW z_bW1@x&F@c(^~hPr`DFLv~OfhGT+fUD2{$7nbg#rEy*cI@n>0FkiMn!?sm2>jUVt1KCs&welKrP8`aM~CH4Iy(pWoP! z%per~1DC4|gIbMG&8pfpHeB){;h;b1rtT+QqT@3?x;WnC`)aYNbYgeq&94>mm8Qk=%a)$ir(Pvfmg=h18n?H&o}8cW!^w7O!RaMqQ1Yn9H%rwx~=NlN9ul)&{$3`|+ahNK0`=b9~ z3uUtNZ)vgkM#;=ri-oJ|lr*{9Ux<&zPZSoVgFL;aQl*7(m9Q}I?K+NWQCD1kPF*mE z*0t3pY-K6`N=%N-&Gru?lqP^8yo_rY_PtBz%%&K3)JWezh0K9%TRs-L;||_qvzz*% zmu>VtZ=Vk0v3#Q3QMeNI=yaa_m8EOqGf?-3UiP974b8^oo0)y{iVh~9IV}I}6q?+v zD8=|6II`@^vG~@Rb*gkIaD)hmw>FK!VwMno-g6xi;v;5cBg4ZuK%CFC`Vv7v-1K#P zEZ;XI=nrapVPq0Kr$!^GHPjUoN=aE&^(BxWnvNcB=sa1fU%n$Q&TvtCchp{JTi$iC znT@p~ShIZn>gi1k(fd)%EbX$DxctCG2ZNDrkH6qSHdLVfU>{5nO@Rfw*s!{?LX928 z)#G7<>P>2dOy3;3EhoJ_>e=HSj`h(|GFLv{#Xgg+lsGoPe-d+@M&z^4ld>7r<^IR@ zv}Dm(*&@QHZ_Y-qEl%l)J<#}soiLUnVo}#px$*bJ(jh$mkZPwrXtMk{_6uex9O zQOxQ!rp)~d_Y^VxZZ7dL^C;iI@%s?Z2IAP#0r;s zRqiES$DE%UpWiAidQ>V-@XBU#$yOmLOVWWfGAmrm%VFXBznl08;|i)PNsRoG)E^St znq_vxg#k!|7sHrtg#oDDU^PoEVz(7vSw+qCz60C*LmP?pm`60DLJS|y9!#z6i@E)} zBEU}Ow!lRgER|~|d-rkOr)NI_xnjg?KDXQ(C_zOU+k2Uj{aU@K`q*D3bY*}u>ahLR z87bKI9d4eV*+s|2A%1qoUfVdJcwOu=z={3*FZN>o>=UJ;KRmfs+38U{m7n}OAF?|> z*Bf|6kXhV&?0-YjC+=YJllyTQg2HgIx#ij0Iwi$2jd#Qv!IAPDGcz;O($caKTw4%7 z7|TgkmT-q?)|t0#Wd;h4YGbNy?;pUI0hLUu%5;_Q@sdi)$+K5M3ePiqVpoKJ zdS0&xxsT2;l0QI^1z;NQ=Tr}rEfgfD$P1QGu)mM}xElkhC=29czin-{Qo`Rkt!*z@ zn2*goTUh6Eh&N0c1Re196O5rHy3w+G83M3nVQ!4u&74qhbQn~mVF08 zsn6Lo)7q2Y9{!Ri60965YN+4&U61d33pamd{o-Y3k(l4`jd{v=bNx-CM5XiJ&%xik zVQu|(HQ~vOtp4?5xJ@Z}X~m)e$5c8JyAfVHmE zD`Hj^4P;7rv~5}3dkHsmm{_BFzLkvbuK;GX&eVS0UN%(F!8L~cVHUCWxcHXa6x6KD z=+y4qeY*b@r_%qbuFK%ad6V;FqtT?aK8VFHt!1vJZvj>=5r=($Y++4W-$pe!tPvhT z0h=wC?v!@5zOIxTESq!xRozH?V8Ks7q*LB%>li4RWX0X*sM)&-yAY$^eZ$279!uzd zbi}3uV#(|wS*wxB5@#wa%jWD+;+;nH!Uc=>pJUk`@Q@P^4)5*?>UVy3Z_Y|1`11K^ z=}G%g`IYhlE6l(q&Mg~<%UH53JK`|*3pcd2&bER)Uc|zOU#HJo>yeCUJ!oe(W!cG$ z;KNoy7dbutb?N@d?z?NtoMqa0)^QQf`z@mOgP0G>ufA9lBoqFgLnPEKUs9* zxwgntyI!(TNTjdraR*~bD#$l?sc)t;ZwO8ChZ;o|*|`wKj!M8W-d9Yh*6%I0T4U$q z*q=xi(-E(i=-;b6_^^@rYx7ajpFqrwJ$f?I&#z%W^o{q9Q$G~n2su)jHD*Fx~bOu>4M?ibsWtR5teIOLFLbT*)@NDpK_^aEX$V)LZdgJ_=&z= zX8iX$;lKrpaiVJa%d)QMX%&y5^NLRVCu`p&6}88u0R@0S z)uBJy_+Ov^_IQ#2PD+1QEJ6kK9LH>w^T6pEZ*E&pdUolfr=7$hY{~mQ?A&PqiUGlFQIIa ze6eh7mDFX>DTku$4N&cRz^rUYGP!!D)7`#k$MsX-W6V&FrQe@x^ax3DMBwgcBxGX= zYu~i=?x4DzCqkwZ|5zDaX^$5lthwtv=g+-|?cJ^2L7PH}SC@}o@Pvm;UdRsn*;Eql z5`H~_I&7SwS6os*!wS1bM^9U$)C)!E1;Z{(SFEyN&Ox!fkR|KJ#m$P9FAiN(Q&m-P zPMF01y*H0M$9*<6^VWRdHJ8#3zULRXWOu>Wb{01{Sh7jO<#LSV{T!TCbmi7bH;)O+ z4(bBs#`Z(_DBrt#Xup>jS4ckx+zH(<&!uDmEg1~*$j+p~x1BCeVod-23o^6Gt_v)R z@eIkL>)TKf!3J}=d%oBB2~5e=>|rm9zCQa!sCVZ;_9vRcARb%xKdB?be zDgHO5BbN#v4jPqy&e$dofZ0v9v3Pgw{AkVs`?VAgf($T~!fg+P)X zTYArR|J&yuGE2JlBN^6YrrH)R1GU zfT^rLTbgW7esTS408h<<2jjz&cmN0d-tz!@4U4q&RA?b6#FqxhTq5IfMl~Fw%Y}JV1D05-*`HjFQ+ZDiWxxt5eu` zf*BR^1<-z%F)~US0Itk`Xgjsth|6HV<^vpG#h93wS-66`ut)f3!3k3Ki+{msPw*LN z?2$$u1Uy0^=FoGHnjm8AU~Tx+#hB!6FpL4|D21lN6-AXKQBqmF#B(@{q{Gamf^RH!q?+}^UV>}bHGde|qcC>9GV$nhEk?_{&-wMBl5r%0lqu-`jt_ zE6PIgYyWkfJpW^?gYSwvkIRCCPsp%jSO^FpVO|XThT;3Hm0}hMI-I>O#6nH~f$o zasiKi0n+iz;x1=#on<|*AydHTtB%#yc%(Q&7ct1yb*Ln$cL z3t7Xk9|)jW(<03I3A)Y;@S5AacWj_Y?B8Vhl#nH@u^om=wr478<%yI}EVeJ)wx3YX ztCfSBL4sU_Sa#3Yr89%kuwc$Uc!1L)-qBM1`mv78#D8xi`^Tbi|2i{1GUd@mc;z+9 z!@}|bxjbeL$d+I*QGGmk(dQ`=EJ1s49hU#jMi3GdrFOS_2~!^NA}UM)ne(+}7vTmA zQTnr|MF_#Wuqal8f_MNuavS;~HTtt2QQ&ejIN0m;|Hq;H-;6Z3U-fM~3{*~j{y;Sw z+>4B8uc_GH`H#UEsdPOlQiLer`uF|konc^pejHh?unlBqCH+2IoCu)@1ldWbsBjf_ zrslRGU4jocg5wYg6VqnJ627xna`fzK29Ytx<3sUlUq=*ZjO$co@c_6@3HW_E9UaS_ zK=VtfbfALUS81dFLCP5X{Cq?yX8xz|)T@3!oO2-tC>4X14#BNHm zknVO*Kv2*;Jlw59Bld$+r0|t37xlp6cQ^jeGnh8{C&aE6JPS|X|LfE<@ud-SWCeO! zP)-gfVkY)6h*4Ho_x*794mTv&i1!TuXGs_s-dyZ?LeR)UHazub$4?6r7u;Oee)^GKl}iOz0-(zvD$NzPAm$F1 zK!^$!&_ThkeGaIPP2d1fZW}wT3tqTDWHY;tngj#Ilj-x*55wIA)&4>qBLS{Yc>-uXprC7^JiiS$>zpg-w zz6_!#ZCNUb_TZsQL?=wNx3{M!(p_8*xI6%5-2gCS5P0U8g1ORMZC2Ac*Ukz@bwbAmkJj6!b)1o*0;$Uq!eefVUdwXq7NbS*W0 zSQBwjXN+Pd{M3jk&fv&MI+)JriEzNPOeE7Q{g=ng%nWgP2JtM!wMqZnMv=L@T* zn&-n|7&X52KK#FzHfSqe`vZ3X(C00_7+4XBiTN-ZJ>j>`g26TMx3jq9+2K6+>N0@q zce$-rpBd^mF8EjADn!wrjaS)yaQ|zO;(h_~8w9V85TGt2`W|=zkzN(WEbh(8uykOJgZayj))0m%@Z#8i7wRZ=VQ2+THW)jEpN#Uto}MMFXof0+9ccwQjiH z+MmZpatjKGfV?FOhQ|oj{P|~>vpegnXzfh+3eakG?WRFsIbn~0EO&e1-TgV3tF7Sc zheUzG#Q8Xut5+kFlZjE)%UOvCaljN*;1H$oHeNziBGjobecxx<3yE;MS;WQ6=#q`vDaVO$hLrP2ei2r98@y_Ccz|6wHumE8k$o0O3sf zh!t2ILBK*~hEDt{I}Q;uT0UvKycxysyEa)%g&2P#cO^bP7*Rq3|85o#FDLm^=VJ|H z`@cyi-k*!TI1$au&v!UEbf6}>0OJW*`?4}p@X~QuEf;WFRF?eHcL%w+uDW($^)J!) zvm>rZU=fpWe*M}tknY2Xii+whGL#_JUo`$-fQ<*&SNA+1Eqpp5el7s8VWjqn#9fHa zr7$m_jaL!_m{(7P_c=ZRHJH#-z6FC8APN|czQ#DDvkKiAdeCfw?M_(dbjK*e6}!gQG4x_619c&Vj=>x$%pmOe8)PfU+a9xXW6YQ9#Hg#XvS_@DGmvyVd^xVTq#c=;~^L zV3Z4M9w#;|nk?Z7-~q|1V7=e#ILd!tvK?${=1Wf@d7v%AQARV0cpch_xQ z045p8;$Wb-wTlpQQt9&(r-g+Dne2gC;2)!WVZfbN2JvA*_{TDb^-1l{w5*OVAZEGdD-9XTgwhbVFK6Nr_p34BX_ps=(O1&CBZ(JfMjC zEts0#&DSbK>~=qX`qb}r-f*_Z=e#jN^W(=4uvBaV?V|_A#&!qpA)JE9Kz{H5zZk?= z4A~KY6#qZ%iEt*w$Oa1qOFJaMq2QR42GlZS-ai21RTZp

o9MweS6FsZK}I7OA|xp}x%nAT zZ4U66UmR`^=K=d-52IpBxxBLXcP&AasFvz4UMb+48#bSU&Y_F z2%{E$7C$5n4#~`@V4&{=1J#=ll~!IpXiFCy{EEaMDW1$D2A*&q6VAgzLNH8d>%V~S zR^UYj>k4mJ&Y%QzEB@RFGyo6|0KJ4O5vWtjz#BC#tBaA9cje>|cl*VL``}>;P7jDW z1Y!@`Rb>n+6drX`8!rIp9&~=vdybee6DO+%g-ajfnYXKJWz2{|kFLlnH3|AT!j+=hOwM)&7@pMyW+FV^Hrk4oAGu z*&ZZ07{4wqP8-E4^mG9Ho%$ea$hY}r(i02mRwE=s;K%TLw2T8u#7@@jd~QykcirqY zfjRely6%L$kokkUDSJ_X{)Rk=5fply;MB@NUYD5QfsDmh|81^Eq`UELmK ziqDxl&~tGiPPm2#1j}B6?Z6I=*!JAv_B(A=QB_KDyI;xzTGt0Mu<;|3z zy1@2b*&C1&>6S8z#lO5?4xJ90vGOL+d$CSw$VNjn+Ne7)@&e5cWIKw0w_zpIVQ2^L zhJeQ(OH`JapW}_!ys_(Xo_7Gn14|X+SRMKPeaO?I($igD1+wFV&2Xp%&$m(;BSzz; zwv*ye^48ccg-tzD0FfpK6Lo}ya`Q=-?+;5P|9GIS9R$KB%-|RYQAh?ne$TeUeUK4C zTugD9ybvRgo;+M`*s3EvF33AZEU-3e6zWn(&xd z|8-cH+y`mzt({K3t8ie58Hm?aLFIdK7cLMe@dKje+_n=-N3pTpy z2!GNHMh#2?!6uIreBn9&c+`QL2jXHz3Vky&7$>34`N3Qbv)_FmS%ig$xfJGLsUih( z1|jSvY9`8M2RO`A_)@N*uC8Fqv6c(nz4k3@h4LmdR>GP$))}dXK!;J=E%J|dpzr*R!c7XJ7!Pi9Lfhd zlrpiNDk(aknf!y0q+|JG6HbWboISdFqWfv;?sC3x4N<*y`VQY2PXWn$Xyk3^ znN2;){QP-oE3YbLE-^}z%a(`4mkJr~TisHXtP63davHN7k>K3?>pp5KKw5|dg`!78CMm=Nv-*S|voJVHx|Gi8!u>vn#rcU-Mpd=LUJJG>((t=zwcE+&s?ls-kC}zf^ zDH=Y!Hg6;vX4sj7NsPspqIf-#B`*lkmAi^oj}fh1a#Ki`a(13IB>h-^wED3p$Wvl1 zLN9UWVa9p7BsRy)EN-Cu0*~%`6LZyM%WA$~C09R6+U3A`KCkLW=P|~@qc_MmVbedF zKIb59J1bE(Zs7oTbzMB={V>f39zm@4mur!|+FS>`a&k|)qXmL@@_K?2dB8J|S6Du0 zWwG}%A>Ub{-g1-7%*|yN6#QKO7x|ahogsCXfAOjCJII8z&xBSri0yAS$2<|`Tk+`S zEf3S+ijrna5A3TpuM>Fgk^=*EB%n3ISY`Qy;LYEjPVz|^t&))?`Nl?j#dRs6%xrji zFgrlw)FMV9c;EEB$SK~HHzkKXw)$&IHNwmlvb}+_=-e0RjswotuCAz8-VE8WLzsib z#M(L|=`qjRelYK#9{Jch&i`YfH0c{)zZuGX!Op(tXZoQEM@vFdcqNtG#@Zl$3Zvbv z@}R78bk8vtvwF#%2ZvEoQd;Ou@0!#PZb|Nd?MHJ0g=*|58I;PemUpavQ8?5Xx``Civ3!7SAOxyo_8;MsBcevw;zHFAp zD5ZV`Y{@xcE3wMIZIw9Ns#I@EKQyX)^4CQXNqM<`9v^&YB6n}pgEFDTd5vQ@?C)&cAgC362g6OCBmR;@=uH?1)K?i;MfNLko)%H(Hf?O+3XOpEIqT zo6;1JYL<6L_%h1K+I>axlrlOW&t35}-}Pen?(W<|T==0ZjYzgq+kA3~u~yR8Dqc-Y zQoeRSHi~L+TqH9@z9yd`aJ%HjugFaIc%oVRd;Stag-OglaqiSjC9Lg1(xKbrar+?M z)cnGJ>}}<3*r^FB+J#Falo};%>WgHa#!~(hVWuV96?pqrZk_(Y$&oF27q+<>`xs~O zxhGsR|NPnC3$UMO!YfTLq@C?jF@CT_W!DqJVDm?zgFYgu>ab9&PT2^5sI;?=W66y{ zkFF|j)~n8tp}sl$`=@j#=WfyPeqZNB#od&AD=WX4zO&Y^9f;8nerSWoFwM;;M_DK^ z1z_YCkE3l`n__-bW^8<8U4Oalkzq*|TS=a6WNdu6%D&I{*hqA%bj)M@dMclO&iUN` zEg{eLzPx(OJR3?N0(N!|>-xqM?Aq$V@=^n3n@)u)i*RsnC51@ePB2-heBW|g(nA0D zaW==`2WR`>PqSxPTXIvx|% zNYN3MOX;F9shQxfvM+FBO-+r@ayKFhO>Mhv^k>Xg`BYXZ$j5B(7iVQHyo<7-H~IU! zwZq9C$pWohC*N|XbOpHQTCbI5DOO?bru(|%*P4>^I__Ye5GcT4n-GYnG zITbf6Z@Lf(&RdI}@xlyigKEfviHK}Ja#<2YlCxpwnVO%qCB{?aoH%8U3fX?y1G zn9Ba8zvCu5Zbq3A94W&K4+A}nBlbF8*I0^b<&6JBlSa|*$oA(T;r;!;;mvVl>$UM4 zDw}tCc$DPjzi3!g%&hFD$;76q6&YqaE|2+)x3DvyP((Q;gT-p+E_9DHcXYyWv9C5( zE8gqNQ8(BvCms6RauxDi6?>c4ca{!UTH8LY7cVV^v8&wtESpG^?j!BMzo)ygLp+q0 zPXBdt`54o>Q`6k3%Bq`YJ$jt9n+?efLsqm;^On5D^NWiW)zs8lTwgzb9+Z`p6?94z zi3N$*vHa5W^F6hPoZb)Rp9d8i1#P)cx3z0z(3ON{>!!Zs+l5#Np%n{e;yWDlN>>nj>mL3 zO}MzbADk4=uVHH7zHkc3Jz{UOvO@3PO<5etoh~&`y~vRg26_LIC-cmY3Cg9PhtIzE zN+%v;QK3i`-7^}+DDS6FSM+V~h%T(gR<`DTG!@w?TEY~|?_PDO$RF$Li>>|}C|7|5ksBnG3(O0rxFd*7Vk-!Jl)=N=mKMtGv6mBq*`h<|Bq$%@yXc z_P=Vd#V+@#lqhtA$h^2S7AbH15j|M7JT@c0+fLt?*s@ls?fh0h)VB~0*KQjz%Y&EI2Vdtu z_TAA6&U1Pkd=`U3eLl-$B;~d%m7c(^ql(-p;jxsg1g$|ZI{*jZ`=HS znJ9aMp$jNaX8U220S1)B1#%s)x5L|$K0EhsN>(Y|*@(&#n4C+=kk!t7@*i+GM{eHp z`LoF3>-4v2El6tcyrk=${~)vSPdAm~TE@H}%;CCP+4F_*ahDo;6pn-gfp{`2#1VPr zNV|s9^5(hoCaBLQ2;lKNuUhuJa>vwUS=(g8l#RP<{SoRXFFAzMH|y%%JYKtujq+oX z3%}HMX1F^#$x$**Xk@TJr%f%B?;k61_+ce>j%h&*ir|G{Bx5mHoo;bvaF8T7}FVc}yi zr^r)iEW`7#$~#1j-d@Hl){?C7P-w2G^|D&E5J$kUCh5@$CmifY%;jH%Y!H3V_GIVB z#8b5T9L=K9iz+4o<#6$Y1pm0^WlX5ukiqQigTGUu&tdM2{#X66l3^)(uKG;Z{Eonz zSU5FC;^?U*)ZJ_6PfjpXP|?$16w;_Mw*!z7B~4n-WvXyz7Wb_)TfOz7NX6%i3K7#} zqv&0}|9a;6XoUn8u=tf9uWLC({(4xVDwP_=^@~ARrR;?j*J2vc1z^ z{&@}W^qtyd+eVKnr)a)%W9VI|W@P-caxw{`gehc?u;#-$)& zehrn#mYATRpwRw$uac%FZTlS(Tw_s}RPC1cJln*D4Snu=5jZb2Eb@m>_sk-9)&cyO z4N94+|GxKXm$-QKj^4Ya>a|YeAc}8>32w@j%Odj?b2)zkRy0mAW=`TX%0K>h_mss{ zqhBRHuZmf+q@;w?CD-a^XDq*LbaeFJ-F?mkDo^Y?eeN9ZapjM{9TrUmh)+J;7QRf) z_LfRaGmt@4``EE#cbpgDliAVe_&;Q!-+x3uZ5dlElkO7L+5Bk#S-6wI#Mj4TX;VN`RsD z-b|2DE8OsEUv$V$NomAwlc4;J=AN_hgyF>hLYvsAXkucb$!{hofBWCQP!{PAaWtrp zPW6RlCSmr^2-mK_ThUu+=dS&LH{?7$`GDYwmWkHe_dN56tkCDx;}sI$%nkftEd7I; z6?uVQ6mufUzwqBZiLw%v*d`h?$4I4+#v?~Ff_7tVdqu;Dbr5u$aD;j~roaB5V zN))nVB!1MCKcW>FCEs}Rnuc#=co&H7J*b?cx8jeQFhnt5i9hK7Rgau9aG6n2LA zSI8`liVhB?5S}06s_gLtSB2~{LTt&5D>?E$&UTiJ9V}Yrw%kF5FcLlW3r#3JKecss z@;NMdQBYk)i+ZM2O`pkhv^4q2*c-j(+pad-rN;b!@6e7rK)v>L_q0 z3VkGCBPcw-Mnp25*biu8IjB!GZp78;$_0z;7;AQ&METaf*R$L()uTFr%qy;Cy8GS9 z^HUBr;o%oH7W$CNBii>$UwJH@CN6Lcd_g$0ZBzO#ee2hArB0HI! z_GG73HYG_s^~?3%-ft)2Y388_T2HS!DQauym70$%q=Y^9Uoi7gIg|c8zAZIQ?Co}| zY>rRX;D8kW*iG|s3zzFSH36c-QgM(UdSVN?d1k{!32x5Qs(NCc%FV*^7@oGsutQ#3 zTU$~4yjVM(0HeVxiTqj%x~kEhYG?Uidc(Q5Zt$Y=v|xxw$PjZIE+y{!E~mFFC`({n zAFm5ROCQ>Y#W-R&$1phrl9R8-MNGa^XMU*{a;Qobv`rbYFqkAxArr$Zi66|LOF%Qe+1ekVnzh6l(4EH^ zXF}o75iPPMaS&S}xy>#ttkK`!&(6-?lUp{H^*mlEe#Q3vX_~Z5g>+L$xourtD(dR$ zv^S3ZRIJ^JD7MfVUCmKzq`&@@K*D*xD)%qy^OdhfMG^7woRUxzATt6!mRC}W=;`S> zlRp95`byk6F@^gZ;l+l5#rE0jduu&^y3<(SYHhpr6ufMt|9KA5-@AsHXiu#DB73en zi;}X`FZBS4ZPx*}&s7d;EsgZlSCAU|XjIKe&BIfI8Y8xDMFk}gb?ylOkI`5hnflv{ zNMpnN4j#?X5_z=dQ*eQCDZ+uE(qV7n5PnIlh%jcpuj@V?D9@kC)+RN-ke!Of zq!w!xHUL8p~wY9}q}Z>sX*WoG34S9l}++hr`j_Z6s(G zAJ*WC6u26z4>2d^hH>`UaTm&iwPX@$qf=R&b`zE9sfJ*=%Bv(d0k$t}Se-`Ga4 z{vJm*6%42bS6^(>yZ$>&))YUGd-`C*<6tfEs31>G=}Go%&n4!!hOu%83kzG=3U#k_ zX^4KF`wc~hwvgge9iTwZcYGM)Yb0u&ot=j-)#R-RJWTpIS;lYiE8{HFlbcLT;;E^r zcj9`sFWvh1{xlEz7{MP$_5=1R>Lk8Xcv%q|s8Y*uuK7Qo%=~q4-;`9Za>zYSMW6Hb z?c0p56BAp?xz~xPFbEK_`qkb2zb@Dqe#?ZEN~-|Htu@x?aT%Hk7tSWCOxoIaKYf)~f`;GXLo5FBrAwwiKHa(FY>u+8FLYe_Y){xYhw(glbmi}v8I$Se zz^vTdz#+leAJGjn@lSCzT32t2?W`+6u49Ab-Jk7;{zeY3{Nrt?r}r>KLV27SAORo8 zwP%L?{R6hdG1p%I8kyKU>Mfl{Cb<3Oh%=85Rk!^W-dES@x@5HE8zEsL&D^oPG11e~IzoObAZ^wlJ+ zd;Nd5!z7)qZT#TLZ5OC=pWDUo~Fw>uYdpQ zCPLTtaCuAo9 z48@a9IvGgw`)PZzmO0b5ogwV(DSYNYSi|O_rp#5B%*Wn9uYbIVaSirIBWtD!AfcNg ze+0e7&Ym+KzC2p7yD0E^K@` zs%1I^zL-xlh}^%nq(XX5Mp-%1Wn&?gPS~OG-k!XIg8lAd8N-2NU(lG7cqLJNe&PXs zt4BI@P$x>rf%j;9vN-PvGWG9sYbL|RChWIv-Cx+x%*<@rn}|tF%wHO8Jb7Uu|q{r(HV57(Z86SC=R74AXm5a}kf9DdrOu*nU;SQ&;1Q{^kr4g0CD@ zASA6&a#yc>!iDwyVQ&he6XtbX($sRA^lt0ufNZMtn&Q~&>#VF#uUxqzB`N7QA{f6C z5Y-fr%g|QzHAU%Y;hR4s>svOSfR>4JT=t)}6C#YHy=gMNNS^ff_xBa4C03<>K)Qm< znpSThH75(w>uMAkbtzXlEdI8s&~r%ukQ48|GY@q%c;0y`$==M2?A=Uz1;g=>*gN7^ z`Ir72H5}rvW;-L?SIFk4gJon%{U*p_IQjWikQ@txO+xl#r2aXE#oW_tJRuV&a7XGq zDRE}iX??v{mgB;yrq`+YO4-V$gL(0hx74OGd}_+fj9f@@N&>|C`ob3Rg0p_dD1l5( z&9C{&#WP+#wEl>3%hT|CYpco1-;T%=$Gt*R-o7P$n!|_Ui~!OZq1Z}Gl`~%)_^rXN zlpiTI2ef0cD=qlOn2|^=6L3k=@z)E-xM;SG1p^Cu)e|D0{Z5@a#S5wOQ-VIQmoKQK zz6IIX*eEJ0rU1aoG7ryFcqSvGG?=HQq^$geKmxl_3q~m$WB2BEubez?R>B=rW{`ZA zoZ%;VQ&W?5)o+_$<<@{FtOYNB{0{g6L0iinhr6K{R^8ktDJrRG1>^wSlo=4P+i7+a zp3wL)H`0GGX${raUuHODB%V7~N5NaSwK_drYCG|UjDpvFZ>v0xQo>F#v1{%Xk zd;E>oN{W28`om7*^0*EQ3ky3ZXUPm2V_ALeH2p0tXO?cCKN$?r2%pFJ{t9L3`5t0l z$p88igb$kK%v&mfH}KZXM=ML3Xo`82%*}HFMU@x#q7u8(p@^ETOw>uq%0{)%2<^>5 zzu7xc=XK9|>XEYUX?XM96b!DP;YFMDWxNpDChwvbfNs{lh0ZY}BSV70b>+?1uV1Hl zjKewA^t{LFyyOj1*C)IXV1nNHQ&^~?`kiXdS5wOWLJdkEcN_oW4$SD1%FPR7o|pY5 z4tAFZ!(>I+Bx6K9YMumMHE_Cax6mh9<+vP#7aX-H1L`(&VPT;>fnQA~;l3J=QDg zj5OheYqfxMgSP7Ky+G;=H@7SRQ3ynn0d@<4Q^NKODJH#XCP*!hyU;qD8kMvAvSy@F zMchZdYiK&!*!Kby9&WCA@}T7M@~xHkR5!vSBd-dV_0IhMZQSU4cDPXAhxy)a=;+FF z8*y_at^e?BD@cAp`T%Zx62pw@+cjy<+5_1E zJ(0+sZ(vMJ%q6V$L=}Efe`;pZP^#{Tv1YjiX9)ThRvPKZnh zlv<3MuJ64*bIuL&vU-uB%rk8aK##WX-x+tP3*GlqhKh0-nmu+D<~rEa~o=*xYXK#6Xds{pAJ(iIPgzOZNn8>hZTUYUV=fX*5 z-|@o(94=NQ9w+|FurnNV-JJ%86w$+>bzWccI*M&YFgz0IJ zqLh?>h%JTJgHfmHz$cxH%m5CW53Z!8rJZvXXcMPW+f+H`HPFy6y7v>-t!k%m^QU+t zz548YI$qE6j~rg@v-wC&{7Fvn6_S<^faJr&>dA9Y+u_MNaiR@Syh20IG0i=ha-JZW zFKk%|vaEOvtnIJ+1!Z!7U_p2#W9~NndS>+=SOjT-{7NbHnmC;8Tg6^7l;1554(ZV< z$3duNQ!ZmjX#wW!uhV^NbpH9Kg==^jgTFTN%s~|N9}}FuENzJ%D(p-%baaqmD7{nS zXiYlfDmP_fUZF8m#+e`-3~GlBm+_-de(}C2GC@u+{8#0#wY-K#HiTW%ezkAlkv#qF zv-LFS`fLh-gMx74_o*?R4_8Q7KSG`8l@&!>Y`#fNOJiqZ@@jeb=)o7lN68hIe9^th zKhjI|Zhe(4r+mpl6@wn{C%JUwEx&d*U1)R7hl^j@b4x*s_$-)_&3aaBZ`3BBFWF~< zI2|laC1UJAkGl+a$s>0`zJ|`)f7|(C(#J?HE%y9Dnl;;N?pt%w)jPxpz&Gg$p-Z*n z>%0Zoz%sO5K*C^6X8s#VuL7esQkkF*AxIo5(?E`zX4@45bbULA=QXz-iSw*638X+6 z)6!si(``*|UoSI_;B_hh(z<61o0k6IKDDbD&xH#Yj2HScLvz}>lTBcRw$@g^1+#~h zzeA-zpnbY#Y}nA~(eD)`I2}gDQP;J?LVkqy)wRs8zP`WJ((_;Ht{Mm8dKLQZ4xshY zVf{;jdoC%nCc1td!z`oqxSu=|k-l@`l*#Y!Ax}C_e;cbWR8dsi6w#yNe4z*cOWV=4 z`*DxQepH1swJ13Q^&3b(PXP<@1$Tj%$bAkm-R$Uf#m-{+VcXg0x*2 z*=9Xs3@n_+i;(r+M0FjF(2JOC6=^!5Pw|wiK%ATfT2|q~gExGZV>#B-&6ysD2QoX= zwq0lyWUS^u8ps%3XM*lT0?*K${FI-gExB&dfddH5Pmbl{J}G8-0JfD*9hZ?MV+CYj zPI*bS@Nx}qrg|+0hwp18X!<51`_^F&$QC&{##WcH7$_uALT0C-zWrWxg0HFj*KWur zfvGe5lGSsmyvocsJQ4ymC^T8z&!(xNJN zX=`sSHT0Yw_Yf@A1#hp;b%S>TG5;f&h_2$049xPek?n$Xx2Qip3CamTOA2kjvR(Uj z0F7S#Lz8vmWc|9?o%N7|b=GiGQDLmfuJu=1p@ud?7g?=8t+CNdNHn5A_9Z; zJ{RU(;_&xPv?6e-$#2&9Fhtgje7kI1>P6v)ZtNtZk_Z;%iikRoX$70n#|yB*i(R*E zU~NPUyXSzzDmB;O)TxQX@X%!?;bMi9V(t(90xsc5TVN$pYiy2l+t2H{ocaVICUKQM z_$e?ucl?k~c32!X8TxAQx^GIZq@<;J416kxh2<^QTi>#u9Y{YiYDyqdQl@}bdf9M% zV|iTERM_!7_q1k_;pxpqLCq?Mfx}A89v}q3-}1izgZMy6woI>PeElk){3I|m#aCsw zK9OJd8_I2^jv|L32nb_+DxfFcQ3_aS$58`d!j$%L(lRW>pLY?>mR$eo36^~rm=c&D7R%UC4Jc{qk|XZ z7=Yc(1fIxbak#`~8N11A(!(5Y-F&5Ge~V#ng5s*Edo>ay032;jvU=VasVbYq(cGy= zD3t!}RI~gDA|b?mPak-)^+ytq?)y-oUX6|by9QgATk=0Ls(-RJAu_U=B^GtP)G^;~ zqaWZDaK%Zf1386y%OjS#)9ZHgQvn^F?~n#tjO;#rFnrD5K?$Is?b0Y}-ibNYGG-7Z z$)Pe}e(M;mAL4l0>f|4n5ciRa<%>=rfBt}QZFtOmWG800c3h~2a2KpierVnxU|ht2 zdJ})Iy4m>8mFtVRm+%U;_HkyTu!-BN_e+lyGRN-6$^`pAx(-~-dIg%D1V-R9*XBTPGJcrbGimGf^9t@IF9BNKGB{pP*gvK+7|#qi5kZYYB+ zRC6@|o1KSfNy|`Rzuq-j(KR#3S77ZuUv~yqd<^xmxV~_cI5JQ;!pW)1xWAr`Pyma= zELx6qg+91dm)r>S=S+l$ksq!-`~zzqafvhZJrzPhnhkQ{4`dU&gl-T~%%sSK!^fP{ zxrodF^KyOk$beNwF|#jClA)MWe>?-l$*jR^PzUyR1#n(TWRTgdfu#3Lv0p6d8OR+d z+VqqFg@8ll+!4x_cPLd<(04f}00VQOLmRIe6rVPwZ4X%S114nC#Wsc?gm?F&^m zq*N4&x3@DMz`t43DYM=Tv2Q|oxg`fE&Zaa@X#6`0Y}4(j{-nta+$r>lRL2hcW5s=P zV7)<3%RJK0uBgI91qMpZd!~b96G)!}i7>33U&=Lp|1MEEkC{k~2J#z4Ycj$Ie0XM- z)Xtu5Jr$>lC_?-U&qv_IQ~sY_)Xr6;m#-xZZ(r?b(9TkGP+y^s=XK0mZ@PQ~;QPG` zkbr@OjfM^~0LzhAKz~*oKJe)Bw%S9jvahU?>G3y|6eYAO|D~hk8&D-UV_|9bu`6%w zRz9zL9I|4GG4_79sm)>Szuj4A(T?I$Cd6C6?=IBU@9*#FhtYil!!OJ?T}~aXf~s!iLz1QAS>p&3V$#C^a3n-H|pt~1c2J=ZC(7Ts4{ z3prP(ksg(f5Dh^qdu#Hw?)FjE2P;0%h#>k8!e*n0O$fdD^v|!MQ`jz1BLk`svzx@W zwj7-ss1RIv_wfBJTch4EMzz9vn8yb$trXkNJ4dvjc(L2coA8jA=x1(o&q452Lu6UT z`Lh_`QZP6D94ToZp4nIe2KOBz+rWM)H924C^T%b54ruY#<+7mNjiQ7KiciQMcs;$p znL8dy){U$lJ4Y^V1Un)mGDmCDaTRYyc^f1pU_RfU9-w;Rb^NTGZ;%zidpUOjxMT75 z@JJ~YZ8nG@g!wR(e~lykkABps9ownf17cW)dI>uSNKY6Dq*9OC@OVx-0bM#B*TRi^ z_HAsSSRqmJaQ6?B$;w2f682y}b-owTvw<6Q*+h7hTrJ_ua#hn2<;rz={7@jGc%7OM zga{xfc0V16oYnC#r`ufSj)>9-)!yg$ML&A%^y$W?8^q^Wlz@@7H(aa?-8>Z$%UsJn- z+uPdYfhYo9_c@C6xJ)8fynChH9K_sp2!oxCu%j>$tksc{hTh|+9iiuBODxEdkVBz$ zFVU@gJKdbXoU2u(3=IL80fT|Yfgb!~;sX-eX{frD_6Sc56;a=SigUG7IJAYSBN{RQ zBGd>(cFidyinxUX-UMPvBD7|oIC9=yTSlg1vTUv^F<-=O#~9ezJF(|c)NX-I+JkvW zBE#;Nf{kIlgTLp~ou0kzG*;4>_Y+=BNS}#DYbCl7qf?TZ@&rL23l9zb0$q!ihSo+^_PLf2B;i=K4=1w-uSt>du zdawcqTztd0Mg z;eQIs%@Sy{j`>G4ym9nBvz%pF3MzGwbqM|wUi!bR8cqvYO^EfW5UC!GhNEE`lVLqNgR;%BOF{@1N`Hz=ZkiUSHnU>r@prfA=1Zb8opvDrFqq-g&sTr+s+-O?E#Ja?<4u-GusIfoVK-fp}fNM;k%F(ApPe8b}RH* zL`6j{&I+3k^YYn9URTjpa}@12h*A^HaRlgb12_0TRR#6)0y)F${FD@CE}9bFwBq7E zTt#y0@}?QILDs^FBZ~td-Y5iY~iM+&a@&#gsZAB5QYJq zGV;NL$IQ2rh$nrl+50P<%=5^rRjCa+X5rbds;EK)r18Bj&|5~>@!{c0nN$!5w{*?? z3SPDy=?m{J@sz9vzFKrx2yfRTdBgzdZ=~QsTU%BDr1jkPj@nIhm;y;5@_f+0JPZB| z%wi0EQqwaFR|ROCL1@1s$p6J`_8A+i&v+=43sA)9M}top)CxB@1_xHJ7)i{`fVHLL zNB%mAk5z?cvvTv7*5A$ip~Z$BR}qo`y_;h)ki;vA6h9I#EVE++AmlvHG9SR5Q|7TkW@fNl-20=GypgPqLSxMZyD(IgUbsd< z`sQ7EPBF^~k>bV_NuUDlTY%&Oq*$??PkFshl~7_~?!bi`U-sZ0^{D;5s=7(A#~Z>D zh-}H;eQgPiEHHU@91aMC*ZOlo$9uC=3iAEVr#_|66h70EQ0GDS(zcOaZ*jFH^>AOO zbz<57O*zw+E(W+VM4a1oRsi{+?$~9V$R{uq&7aj3-yAj4YP$jflL`UTo|z7=5nt}N zRHaeCusrZO-sH9x4%Et9CXcDdjqY0w3^DX19mPhnqa*yk#30IMe_SJ?7?mLx)H4O& zKR4KNDg`ne4^J;~bJ;uIam?9&Z%uBVig6s_YGBXN*Gz5w6ba(_pYD{5y0-?E@hS_K|2 zAj7T-$Ytg6p-;!@HvePttGp6NgGSo0*Erp#G5&GY7PN~*L_{M!(vr3y%m`Re2J&_C zUp&?P;n5?>nhC|c#nlz$5c|KatPCPcW7sOhnhy?)>DZV?X^6kJ_V#{g@+&m+KE*Z6 z*dTYP*SHF9F0o`F2WH#`T&gOEhyBhQ`vC$Cq&G(o!vjlypjEq!0YVB~YHqtg9ZEcc z7uf}UIbaR&vOIqLxN@;{#BR0eGX5wX*~WS@obHxTYAs{Pqr z_zlzM4_Dw6%8T*FCh$j+YIbet-`}| zYL$JJ?}{vS@YereF>pvo;@O_XX-O7g;n=4r-UlGtLmVRI%yPUY<9>1%46IY@zOy@i z$OVj?H``g6y3cm_Trhm~W0#|ia{5IWccPBs^9#@& zvNAH{Uc3mYbX?}joS(dWP|lH8{t%IF;29IJ&RjY?X zLqo%*=CPpLff(duzc{>6&M*#!8N{py1Ar63yyvxxzRFx8H+J>Cy;@(r_dw~kSPH${ z`X3yPa3qcl6;|#;B^Ktr{N~opn;-uZLuU1>wYfQ*`FM3bOPE*>|NK1nKLtd;MXEO) zY*}Yk`c-<6d_`Ko4-TnEu!U7CZ2yH$9w|pz+0Y`-r;A3=d;9{Z?{;K*H9iZi2C>PY59rFCfk2!04TmdzEY z8>jXy?}rFVpY142pnncVlI}u&lXFm`w$~M)qXLs^$|IrW`{3$%4xOGD>FTyCOt}Y8 zTCsl18A*9YYOqT8_w~`bV-EJV7e=efV2)4iXCemL5|}GS!LPBi?$`Q9;@otz8kI6t zEN^RNF~r{(Hub|l_{Hb(p!DV#y(2Xi1S!dr`~_qeuzWrTFL1b>UE{r{pq!YR$@U}% z8`8V$m}V6lhw!>ODL#1|3K}K{8(YueUa;MCU=LHU#AU5lF4w;aLN_RZf|QAf%%CKI zaHFwhx_I%Q8m@U8$EMbxZN( z%a<3r$XF@8g95Shy}2#isQ>KU;^0Xsfx6<$ZzNcQ{i?jZkdl&eGcolF?}MAnGrxg5 z*KfH>bMlOw5{rSM)JPc|c9Y-&YU1CC&E0!IL^u%{i- z3P<#|k`l}5tIQEm(qt4;{r%9Ug@UUPb^OBR%VvNPUsPM>n}Cz%gb1%cPW;yE5yPgj zQuBe;I5)%OEB)On5Q5gbR^0~TZvR``20s7^5BG7<*k*ot_}A$} z&@twV$n)Q1XNL{ryHX@9;j&mIntR>FdunRxMAvE7EQTY$bmZ=4Z7z=T&^=T7G6xZa zq(7=+Jzzp%?EDYVE}amqN=_MMIsMTtBE`GI-5c6DX#05U*BVSn-{}A6sBQ;33jun% z52f>1Nl}gcY@y21f88Bj#d;Jv+#>*|XjM5pw&ubqA(}yvqT(w$AAQRsGMWUu5<9=o z;};d4he%1M9_$AOku!6GRfMr~&)tJOv0rU~X9F54S%LC=s8lE}4TH5#M4=FDb|>>`Sv^azgAEk|z1ZIoS4cnON+Sr0Bk zFbF$)dviUt2Q2Z93GBpi z%&_^BC?NAb{yZZQLmVB^k(7#B*ACF`hT5l;{oP^n9Ts?^K1JBIaX~T~@Dz~#Vz#gF zF!xKbhpfK{=t_)<$$}ofc*|aw`-mKd$Oc4%0JeSi%v~AtL||N0!Rl6Io!m88KhdumZB8(3Yv@41IWBZ2}+);J(5mSVkQa z*Bj5LrIT3QM>gn3K#sb%|J_`x9JN3Y;8{)OQ^LUWLQ@P}q4CyWZ3<+F$%WAMA3QxZ zZiYsrKLwCI^u4olU_L!DFFZVadF*^*F5zw6XL{$~Az&{sgkIh|iya_!QCH419C7$- zlj(+mmO%hdzPrv0zJ&JD^3AmG}FOPOCrG{}kSX zgqaJurxkMDvCF@u)H%((E&Wm`^&M*DZl-XZ29hCaBv z5XDOpY=A;6UYze1Eiy*RJ05b6p!9i zjk1-JAIuvth=XlQ1&pUB$#MlWTBQ zRFD+jcRFMi7D*6SUwF8E0`D@MIsor-vA4BpLC~@}lvB272h$Hw z%?}NU_JKdOuh!#`$zkbr1>#ffj1$bt%!~TyOM+sc2 zvLikD8K@*Eo>xYjNYTbKAEEx{o8umb8NvABl58LzlJNPp+JJxp-L;D0qy{9{Uhu$#CnV749&+4% zHOMtzi3gcCf+LlL4E$o45v;}nu6z9g>PrWlXx1yE5Qtg)fBQ<@AJtC!xPjwhfxmV; zaLjow{)R_T`;7d}3-T^5m1)nS>-l!YLWh9EU2oYOeV+%>dTq~ME=ef$|9S!XYioHe z6D~Aq_>uhE%o6WOB9e%lt+;yM$*M?C_A7k?rzF_T;M)Qq5i5S3mpBJ_ax#D$2}-C_nnFr}6bIPXP`nV1|ZiAkX%G89a&jnGD(^L73H2nq-|KwPMzzDg+&X*Z5P4r8c*g$=eNsKh=G zuYn_77W`$JV{1~k0gd@7_vYB!L5DS$L>`|$(uCy>4od)9gOpW`Kt%i3SMKF_p+w=kss&{xMz zX}Add$ub+wG?q8vu|jzr2&!1(u-SXow|!QGLQ=2DVXVegfdVdKrCmr{I}4x3@i_3C zO)&!92B%{b%+1Z8b)7%uT?{HBdbRQV9W+%Ch%SI}>|2Zy*g%+IO?+*UHv8{w-EWh0 zIz?Z<@*4kSEFya#?8rxp*^>*31hjuu7#bZj6+EWDVh;KlF#^c5A0i?nA=qxs7CNT1 z&|^NxXiga;zDlckIN!8IC`#oY53dAssful}`G|6U%}y4*>&gS{-!=}@k<#4xkkH}I zczMGckZvjt-A#7vK+QTjY3IxGmddvf+&vIY%^PtRWg4Je`{M<}`WO1)z|HoYG_+Oe z38oHt5@3CP0*4ZA78dtpxnTlf8^!P# zo!R``RHt(we;E^{sb}u;G13s2GB78gd_k%6O@b&-O-cDz*aIloLR;2=?KMP^5qFIisg?`)(!^%Q?SQYr(TcMqJ_-S|dE^#`gKA3Bujzm1#C13%tH0o7!;dq+QIojryizy^@u-2g*yBlJ zU;F69@l-Dg&^x}}f|UP!0&GDZ`|ax&3@bFbI5o@Vn4Wz2>3@;K?h>Y=3{H!vB6e#5 zIj~#f%e91&{{W($iw6!37ESG1-9{Be8zn}76AAp~hoW$Xja5Z$&UtTy`6J~Wr59?3 zXVbIk9IfpPvs^SElO|OK2~odof!0l zlvL}q-$(MEbjcrQl9?#%HP!kQs{={yL{Oh2HE}s~%Fsv`udL!q=StkfHwC!(r*v|w zOD<@1*}9AF<7;E6W;Y0hE%dfk@3NwvN!97{5$^HDP|YwL6vQee4F~R@dr5q4(r~<< z9_6s*87j%(VcSa~vO-cOonZ=mReb{U{(=hB+DZ+otnnZ^pZD0wm-Y0g*4lMq;<4+y zrnAq^6Q2urj8>u)kCQUUHHiF3|IVgSBDJ%8h^{)=YDsnag>{kJZ(jPA(x9!MTxFlM zgWZUPb5*meKcahfHr}C8YUCoH->GY8Xwg+`pRD@OZ`{v5|F=E0`$dsIC$qGW!@yptHp%avMZJ*6H_kV$3a=600S;pg%CHqGy`vL2Q0@3StO z+Sw_pXgjCEIl1R$(wR3!ccblg=C@yVm7c`h%#(HRp+&P2Nd65-;}kntQPJQq<;TiS zeWKi9-*g?XBORp`spT=tGdp5KJM`yIM*U=ga=v!F^HPjio^|1uww0-X*#vBq4xgC= zQBI0Jc;q4~;}Kzngyr|zc3*dQ(tL0G;bDxG@%`R%7Gx2;c~ zKE1HKJoqD;XG6tfLuIG_a?ON;WZqR8V$Y`PS*YqW&1V?o^q>N1X=xc$jeY;_TeBKy z8NTRJ;#ZN5|K}#q7sf{*{9+jFYhl{AJvu~(wda2$@0}s~Ir*uj?<2GT%TFwTgnHNyc$l<0iOZTshOs;?Lm8a-oxRoIw03;3`>O%^U|!zFRb5n=_yk!SfChwj7uqEh z1^jiHUrL0@e!V5FonLk{U!z?}xZ^c8-(z%9YN40PeZ}i5-yL>}dU~msn-=GZV6P}j z;AwGH+Zgm%G*v@oQNu&lgd z)3CE>>5*MiBNFd4rG}zESEj8zekeY|YIKXhQLV?|y3fP&T5Y3=+`y&pAP);590^AP9CEF@Omd$kF zP&``FzbS>r!YVhe(jH7JrsFkkJ40RWX&p-LOf%pm5S;t%gYAe-bzb|GOIb2$rW2On zG3J_C@Y0Ldqh{nHNroW=?n81?5@3%dr+f|1jyff8uY^0mN$o2w*RQuAr*z;HsOjd? zCO^LlTEaE(t;9W>n=Vf z)_?U%2pq$3Alz;tY~9u#4T58dxf*59f$i#kdyG;un~9EihW55uJ-z>Aum`U&2C|(R zgIh80ZAMPDDGM!>DT6S~VSpt{BKZDwx5M38?SK0q=bLsg92z?idtO=so4oG=+xM?7 z(1ZQXyXNz@i99c5LxY5*;K;S3*~1McLXzSou5bvXHK&1FCZj@Yw5V`MUZ||L5liXz z$Qd6vchq6Qa9imeI=tsJzeI0ZbiwB6@;M?Z{4#Rc6Cpybn*PA))948vRApymZwEF*@Z-zS>4?z zmF%*2N(eWSP4vG`&-eF#y}WuoJ#yUVoX_VyuIqYVpZ4s+%fWD1!ZNRKNExWlVDb6n z6^)?wj+w_VT~x;NavSxJ&s$?!j*!OFc+d1P3^hM~-BacV^myKE{LbDr6oHa@@4#%P zGA_K^GnYCfCdXads8hNgBS)^a7rapA-L3X&;F0YV3IVn$&!KFLRh@rY-gAHFt+VS0 zrT$*ky?*JRKK(O2s{!2g&uHo9nc>g-p2j{tes3GZq*|m7U0Zha<-XEwW-Nq`2>D8@ zacHqlQcSJ%YH5mD#G?m?CS&a;uZtTGP~7 zP&=wl^!~)R1wX{g>xzC1*vkrPT>jdKYa0jGp^+K)p|1f*ZZ+}p{B*oyOZiK;+q(^O z-yu1h3Sk%BeWM3%paOrfAsmGNqe(XJL_HEk7smcqv| zV_6##?^(sUb+w;*xyd!+!t8KH!_ZR=#ieKGg91VIezn(1Q^nY0TYp&*Yxi=VB}tnAR~gb-uT%ICPhcd^ngqwnArqZiK~ezt8l3m-?P8AB&a>PGxLt z?yIH|%j18%1@nvxG(CG6uw`s}j^oL4T@jX^2tatC7~uk#>%Y0RU6 z%cIC>v(1~UW~e!$)UG<3jZ#kRE9qqAjcCId75YGfv^_jL?>P)10f*k9!W6 z9s77&UJZ57(Cf*r3?}0413aVSlZ^@LPh*`gw=Gtey5L3J z)4N@_lJDwSA|}cos}>&o^IilOsA1I3&wFc9EyzC z5FhssE;P^0`DbeR(1Vb5hA=3BYMiyh=?&l|E)Zi_F=tJMHWmA!1xIYqYm3;hOu9?UtQHF=v0ncQv z;?IWlt5Y6uqy%t>)XCP5+6Zb0hU@ZfId%GUs8F@c#Ws%p!KwnR>z>hQMwRBd62}<@ zWZdTn&WrWjLtQQ@E0}5)!cLQ7{DC?*)V*2IG~W{rS-m=!e6WH~;|APUg;zLn-a4A3 zd^G;cxV{wU*?%@Y1l^23&D|M7E0Z}Zg6%rlIXP>7#~$0AgfEnNx5~ddFN+bH49J1Z z2R$;aokcI*Mg=ur5Q~q!o6azX61KLs_L^DNlPAigT&Pd#?ujSSl<5ZWBLHR}e@@$S z=O)zCDVdqV*W}`Bg6MW1)XS9pglA z?{i<(yenAs`>h(57|><~ZWclS7m99Ar+`do4~jdkk^ zyrT@Ma#mEXr*Ls`sq=1$c3OYyZbjel&`{;`Mk7TAJ#OrV#588k9g6e=h66U|(-=?@ zG7KyJPI7HEYEWE$(#duvv#zeLMxFvXFv5auiT(3sJzOl>4Oep=JV~Ue^sX4*;Vbf_ z4Mh)^F+xEBwjtULvy)=uFJ?6+%}1&h*?i>CJFVXKxYS3xEzsQFvt>q{$#Iso`fxGl zF;|~lY}doq&dzFK9v!naUP@dBg>_z6J(t{uVqK8p+|k*|qT#UkqF_DoO}U(V{KW*G z_0GFJZEb0nB@BMquD)?3|K&?nF{)RJl)^gGVO%3_CudkkXWqz3@2U-FnNsf}d|d0> zxOJw${?LeZW3q#9%xnv_a-(5C=iPV?A&qM{S;=?qC-Wfb^$XD<36okQH-e<$BkW@?60)-t&mnX zGgSf&T9}dMHAI=^Ws|tzoqqj|X?xb%-jC$dlc@u72)FJ+*#XZ)0(JTWh6S6#~k?PZLaL9TUgV;{v^rEjAeh0e>{m9NU ziI2F1>9le0`eE5C94pw~k9L>n)-SIRb!zMuCJ3E*fCW3nlbLwJ25R%%TFxhYj&Ue? z7970!K+3J%sfigH3*WY<6uWe1Cci4CWkhClZM;Nqa$^_!dB74UiL5$n4%W$z6)7*y zj<=%UUY<|*)82jblp8a*gjTYB$$1;=gX4!ZjqH0nb1td0XVw3fPZYy`B?9toBVRgx zO)_)%ygSbrod+rSn4cW9ogAngW4oK))M6>)s29Q`H4zPaPExN4 zo+-vqmBQlrS(|jW;wPICUjMEH>~84X1=nClFl3yKP8vp@`5??G_rv{on)}wZl;Sm% zs5FRd^6IMU9K(_UuWN|7Wu+QyVGa-vT3lSLcJJ=#>8ZIiFu@RhtBgsnm^vOIOcj#V z;}U2xFXt9Lh2348SX}7&;=(>7w{Tm&=2)bL41@DqWM_gZcY7 zk4F{q^12ek_VW2qY-t@ha3G|Hn9>o@%e6heJ6O|Y2c)h7f1Wb31>m-l>gs;)8m^9r zMu6-!)=ION^>|b;hs0Ta`)zs8^3ozW2E5awFX~4>`M;XJC8BCrfDd|rJE)p0Y&k1V z@ow2yc}S?b>iL1{iyka#O6Z=ejGS(npT8-uX(U6Z%{?X?lHc>UO5KIFh1zv`{;xg# z5e{+p@8hSYfwPUSvoV2MfcHL|_!J(%AXh(qco^x?@UtqSJ&?^ z81%LQt4TSVDPhJEm985guSU)q0}}y@Sbw=Pgzr7YjM%#6!HMS9*2wd+flmeoEXfCE zReML3KNOh>ep;t{YH0n{k%ObWjA?RHzgGCk=mlm++P=BID&?A)UNUBNmqoHTzdD}7 zd?e&m7;=m-cV85$2DPn&Y|rTL_uAMYwY?g(1+TdC8>d*OfTG#y>4Vo9(iqX;rHS`5 zQ_^_$?1A5h#+Rkcsh{P#6ly2it^=Fae01Uj8ui+r9@wY3@UNAI#=XDkZ@+Umq3(~W zT}K5Q{~Fn&#Mk>8d;WI9RR7lBK1;TR`;Q7I)bFj%ed)dEjwfOM>Z-P$t!)PG+`RL! z8B5x36uE3adXEg{C4_^OwRabY=aPk;0$_`QTHSwo?TtdLS00g_9iE=)Y#3D7EC1`? z^E_^07;~L^!-DYqA(GiAL^?NmSw+`Um9j8uoo&N{Pt^=cAXtl;sz@W%AhsI#b=L#dsme`>k0@{P4X_R-}> zMVX3z9G6Y}05l~{bo&KUptoqyBt(1d<YbmJi-IQ;*{#gPfo5o8*J1}y}FHpa6qkZu4DeL#^W^Im6XME4z8$A{``K8$3 z5$|%Hp1N7o!$0$idC0td7lmm}G*8l)8js1;oR@N6d~_hD*3Zo}T~Hpu34I$W0Do~V z=O~O$n(pru?-E`c>Nwxuu=vG+JL|%}rO_|Inc*t5M$lV1+|jIh`~Av90ERfAu9;4ApFwH0lDtNLOOOJfJXMf3t4}rONV8@ z%m;R+G`(0_?9POf@fmWxI_GoF7<*5jS#{&cXjk#+?U=oQ;*IXE=GI>;nUYr@p)k4g zC=a2xADEUB8wbY>JBQZRM1wUj0c<*@ViD*Jg7`GX++B+wFF1d_l}gPpzn)-6HK;2> zWbySaMdiuM7pjIYpmEn|#`wao$}cFW8k{UP6e5cJ%9z65jCD5{d8qmRnYGuyZXjmd z#=(8~PbM3(PUELf59<{FcrBGH{=T6t-OpO6k-naZWuSg_++nT108mx9dP-A!`!f`^ zdV+_>g4CFl)KJ}_QeC%_5q}Q<_#vSGjOdlY4e((^?WJSVREh}HpBEitJ6I^zKz?H+ z9r)?tl^<1o+GK|XtVa!ouCMQUp&@o8i%K=r($dNm8p$>rcf<{$vPR9mu(+t9$4C5) zMn@^L>abftk$B#BIs@J*!@wVW0xy*uOAE*j`1Kbbt7XAplKzP{4gOGQ2k*YWcW>C?TF zv3*k4vRH`x+ht6w?Px8(y>HL!8uw5^(FO5c%Cz}Pp$Zt%u6I&mgc!Fp2u%fT>!d}*OY*UX2oo5JA z!S63(+^v23NzkK~0TOIw9)~5wtDkSzPXp-{4sm`N=$_ry2DIWG*45{Xw1ry~x6BSfL z{glg>FMnG0;J+Re80ajNb^Bf4M9t+@K^1#C3-0+O7$H^2an~cAh8W!`U(Jw6kk_-U z6+7ZEX(^tzBP!jlvu48dZO>PT?zL8|Sh4VZui`T#r4eAT9#me|BY*o$56d`JUiB6| zJXI`}{dsjXVWNo<36L?*Qf+dO?269I&@o)qa+6jbBkhuU*uE>O@br!0ZTF6r$VC00 z7T~>DkgSZ%x)Q5#)yJPN4_tm~*NN@HN8={Kw)(RWf*Z^nel_s4IGMvSWND_*UVmcD zIpFc&?NZ$dPujKC9HETwtt%oJnJs$}l?tc|B+rMcK-(Tf_pz!m;V15U4$1qeM^Mjp|%eHGFZ80TgD-$Mrcd zwr^{{OkMQZI#MWot?|5Of`SoB%SMc9r_R0}l(&yOeVAwd-zj?DKz+J{m$E@Y&FEeJ ziqW_d-Ho11e$HSMR2&zE0D@Wt0+LQmkrq93i7fsaUb)?*>1I65j@-5;iV~Qyk1BEa z@IZIPU_{qyVM3=CO^(#{k*r8|_T*xhS`rn!wL|1T?qNvpbX(}JAm<25WY8jzu-)XR z)W5I`nlbavhP?`3-4CT%u2=zHPuc~HP8x5qtZje%tw@f!A8l(B&!Tu-TSOOoR@^=+ zs8hRob@Dyo-SjiL2Mh~}j2OdsURLd#L!o#(Ab?MeI|vnVq9yRI#CHv5is8`*8_30AGlibNjj?35jw zW=QNnGo|({4BX*1Ed6`iHqQv2($|mNcEBL{Nsxj8`9czYS0)r0HQc=5Q(RnnPOLU1 zo>JHCd3WEodlv5VS2~5SiHFzKX{Yqe-%CtMxz!g-*sSwsaT~8tj8OP(25aHM{YMV$ z6rsyctTfBoQX6$p8I?M=Q3??Jt}2N_NHwT=Px@M0IZ6eFXtW<5c`AV5Syq@8ynrcxc>U+i@63H}UJXkeTn zO&ZsJk+7r*D}%Psx_;U6U(D)NzsSi!tCMpv}W2P^~#ays)Es) z&)OAEO9sU6Z_KuDY z!RlQ8sXq)L8r|n~^ik&B$}!8L#bxW;q8LX-@1qm*VFPVsd|cnfCGTQRTk_z0>A)wB zQqSSD@;aCZ5O+z1SZgXjt69G-RI|v1bFa(E1oP!tBy`L|0+{^V+iTj>rGSD!PVV{g zvJVP~jHIL^pD#;@&|$K0;m)z^0A*8i%Jt3KzV3fvvfNN}q_a3QJK!7ky!`KM3GY`K z7D@jiA*H>)x816Rq}D4GW)7m7;oEZOHBTpSr-FjRC_(UOxElyw`HN+_&tG>7R&H1v z8yVT-#p!Qx9(7W{?{UeUXn*ma_e}_$?QLI`jpjcEB)>4M%}KLL;G-vr-lQ#v`Y!+0 zWU2=tHdNFXcv^t9YCQ?ip|(=z4+X*phPlt3vSIa&=^U=I8yyr(lvn)@S7 zG6x0*USIN;mzTdL-p5~^D|GzHDLC{PhFI%~K^$<^Z!La5a;F!|Ffg+2Xx5fsq_EpA8v#52Xn>#!7+?OJV z)VrW*wn`iZo_V4zV|#=}e|MgKO?ISvqn7b#HzhbZNUdXc#eDR)iL0lw7>G1QY}HsW z>nQt~IUT86nnEVt##?}KJnrG)G2nFahv8|}<@%k;pg#IYw6%tX0|B%~?a;$l9$MDBlfsa5ng%($sr>Zj1aqF!dBM6KAASvK`Xr)VYKk zvO(A`@7ebhuA5tCbfPBS_J9jJ%X}e%ns@f@t{+$?bALWC88@+Ge@aQE9oy~n?ot)> zH6(t5X2(C5tt^BRIdn%mMiO{-cNX(7$$v$@=vhJ3#tiK|8FYi3mA5 zI!eYyp=~jrpENDIXUOZ8-_LqvXAIi=37VUo-0C?z_=BniI1`0P2XiQcKK#kV4RAWjLq8~$?rICrNO|7j!V^Up(I!2}ix818O7}fltk)nH3!E_7W-_?w> zYW0fa;L8r77SoS(tv)c;e4{FCk-<$&Yft8DU4y(2ay~Fp>iiP_J6}V3#U_F9nVA{Q zO}O`5JHxMzMZK*XS27}aMEBJW?RgT~eT``tf+)7pF=`6Nk*^=QBl1f}sP7i-Tur{S z&Ku_&Exofuw`G-CDnA#ZlxLdD4$~?$xfkO}p4*3*(ka_l1UTMTXZX zj0IcZdaiF`7kFZ{eNVRwq+&_iHqD6cG|rNAP|(O3C4p4F?Lpv+$PmUjNN9RA&AlaLbJ7Ata5- zB3Tcez8(Mna<1dFP!>vvwMD|&`+bf|&ydz@CaRDSLrNT0_?O-EHDN?JV03d=H(7Re z_kOdgp(EdNfLoL-`$0dJH{C2ZJ9PN4x)^mwj#G~m?4bJN=YD_NuGJQE_o^IxE7Egv z4vybApmQgrG8xUf_{hY-7@MI4du?aG26~@Tew`P1PXhWT2l|)goqDc8?ZD548TUE` zkLm+hSK4Ez>c+;#loc*;d&I&xxT)>3_Fj|TMHYpIl+bN7Qcq+PvKArjWN#`zV+ zirt^(?*sTS?i2Z?ax5?5(3hyKGookkj%3F~`?mX4!U+hj!MahFf>N_gHIow0n>veoWJi5;8fbPj4u9qA}K^+;Nrn#ZKs{Pk_m zq1K|aThe1K&R^Sj0sg?dsO#XW)MWg3gCy0+>-d!Z`FG<*KlR|wQ-?j=EuPJLmDG%* zH>$j#&?`#bb;9pt2?=v|oVMUWW!KveUg&+nsPcdxTZialyj2l0{qSvB8|eIa_~px& zVN2dIoomCQy~^hB!%_(gWL5i!OHQ>-c_`WN?Nj9h^RYZz8=ERygM*uwmX=UJRM}R2 zn_UdoCsOcdRO^v-K_1iiaAWiyedOk%hxDQNk zv}Pd1;WWru(3XaV9J517{9$?f2d_E@Ilb~uW=+#usSs9ss8toNP~09K&=mwbm}w_E+lyc0#mCG z!C|`K#2p+QENf5MkYXZ%=y-1UR?#122ONE{eTLg73N(6AA9LfGtMAtp?q?8;0l}@W zuW#Ai-hTd6xMW-z$FG+Kgv?V*Llx%LCg;*gX-m!5x5gAI6g>sr3yn}( z=mlJs5CmXT$vF~RBUDw1xZB;`9qo3%;7b{GH$Fd<3fOlG9jz$Jp|fkg4@qozEy6wf z1Iw0R)nwk;Nz~Lcv5LPVMNGyPF0V;!*gU7B%N;aTy8M^ogWxYw=H11EBwpWwBzt_L zcVM5umOD@pE-d-D&-$(X=O;tjIm#?@yurAa{Yo8Pq+YU(vVOj0-L1RMuN%pnm!zpo z(mls^zsYtpWh6CLFwpx8r%7H~4M>G8NQ3O>t4&@Rt<{mm`0tg@x|<4>oZ~ecZ9{`K z`Nb6#X?XzYKoq#(cjDGesUGBF*TP%rv}_T#R6Qwo1Z3*elqxE-x;S#a4Umbw{>r96 z*B{mLJ=UECk78mVEk&^rwbmg(95n}8(?gPygQJ^pE7+&6oEbw!yGI#yXgxlL2Cwuy zhxi~|vhI;X)p0=TLYv{skH9HqaT>$|&!0WiYGnmqj1AdLLsKjswcaZI@ z>=$Oki14+JLzer|C2ifp=aSWP)!z}*t>^$a`&RPbDGS&KtLCB4Dz$y4I-Xxw=~o}w z_zyj)375vHEA$2UaV?H}U{SVUf1@5J36~>7Az}>Ust=5yqDX(M4htUWw}~Rys%Jtm0o0m%Vh}+w?dem} zKSh6c@IQ2hRZu2|=K7Y->y%h%%oK<3uPyvurU$#PI2UFpd-80;UFZATry+5KJJpPz zGv*-vt8hXzx7X)9xZtJ0^Oacu1rk3Ul6~>Ihs*sYx%K~%l9WS93%JsO3j!&B>Jr3N zJn08XUD(W(p|mH-!JC0oYqrVW6&Lo)z@)TtqrcccKh55vn2{aBLlH&x*~pPRKiLhL ztksZiUd-%VU&EtA_WE#6o8L4iY8Gh{ztM|MPtrkP=^RwBT0XL*#ve*X60ztS*%MI; z3O}Yjn>#wHP8}r<;n}aH!hH>{LUP=Y+ABlKX7fx>9W6GRoUQD0Tn|q4LuTI6l8VmX z;LnP*on3GI)P{yb9-k`AP(t;|Ado*cW)F`Qpd4BP^c1X|_kB+I`!gza@!#?{42kU7 zQ_@>N} z4}DJ9%TSv`e4xfZhn1a?l_essP7vwPV<=UQcJ0f5sVY)(xn*)d4d;@1SqEO6M`Va` zI2>f+YxHXLFe&DQ@I;k2vg^<3{|SFA#E#(rA-lwIhYLYYqd?L6KN z6P{e5j30fh0F6lAe{9Is!9iqrWQEeRiJX$U(GClRFjz=i%G*Y?cP~yo#focw0B)SR zXg@TZkvF0t!bflB=q#`(bzwQW5Kq&st;@4BeDL5wNKNKri}QTN%tRQYe^%hqR~D#7 z+B5G|aN8<`iJSv-2}0W)dhfoVy^tX;&;F@XC_zH?XX?sWHTI*Xy+?~hON0%2`E%Nf zt*F^TjMhWKSEm1z6gb^yFwyN4 zTSIfj2LeRKS86H6S=ZVB#DBe?&5_=WOR#-k9-UT)gp=n_5p_E8RZ4k}tjj%dlEWY+ z=m>OM7fPlNh*Mam`DRruq&S7!Pu1lhwIW`pukz2*=JI_FEqHWa%$LRZDSh95NEj?{ z$``%qbD}a9SzNs;1?2k0iz}_QT+zIk~z%u=c8d?9R_bB0I27&7Ec}O2z%RpX(mBk&f-MO;tHcDDeTwjSAUrQo}-d@BsB~ zEA&e^`o>=0Up zmEgC1)wwEB!q}(1rXAGhP-JPC(7l#^0Zs(PmhJ=Hp0@5ZoKf1SMK(tRCwi-C{Mc-V zOaro3llo8CI%MxvgXd@QZ$1GVum>qK`B`exm+BxK4O3NB;TbhhOH(SYkb>`;(aZ>y zma&EiJ>Hvf5J#y%#@kTuYu_^NTZ(g0nwq}_%!Php+e_iv~iW zIW)i2K%0HEct7$$Xvw@5(qu~YMlY1l7F2ut-u0_*SWtxt*6U^ZdrGEX&|jx3E}hQH zn@wUVHr$#X)2F(AJ2(4Gpkfb_Y78toJO_3@D@|B^S}NC6G)lU~y3^fw(|)$j0`ad6 zeG}hr0pB&pElo6MJz~-1S$Npq{={j=x?pAs)jb*m5B;0gVE`cg7Ro81r{yQD#-e+- z4An)uus%33^l5FP&89hI`wJuafJ#h&4ZMFnehzA|0t}@(y&*J>>=x8mKzt(`z+X}Uv8pgJi{1Bei zQ@S#V{8S+FK+~e#pq=UYTz&L>M0lY~5nNs&ReVfS_)9AJ71+sQrlE(_e?2#{9XrrN z%FlIdAx4yukr5j~6h{-G$M8ioS$7}AAFs1p;Tjggb&L==#Aw1c@B8N@CSbZV8S^dS zI{8-(S8?N%5L)(xKd)a>3Q1%?$d`@{dI)gYEr8EWn2S&8E=Y$N~YRb7i)BuaVC+cbX}~(o?!aJ_t?l{LO2!^42(y9${SZL~b71ZVqtk*Gd*-``KpgPAWb zT=!R`?LHXSkl$+A3YGAU8x035P^#D%N^z1hNYJ@IWqnWahpLfJPdSp=VcebGI6k|d zJ4oD=OR4!%K-Sx(A1b<{Q5z{*S`9Z?UKwopZ+A^+@vzUdWFgE>0l2x+*#heQx6hv< zMgDMgE^<2WFxdqK_H6=%v(kM|ux(~^ycxDxl$oe$-+2-6uMNHnC;ua@l%J9Hi?6pk z%`xeveVl|#Dk_=fl{bzc&mx0&7KE$v0{Q~L<38RKH}8br>i>@dT}qVkd(j*- z`Qs~0RJh`>3k`$Bo#KZ_%AjUdTsQ@5f|OZWefNS+_hGw`Iz>f}nSpvqo_FXrQcZrp z?Q(eS@)VNlhT9u)nv1>uDniNoo2u3EM+b)PXtphmltz@y%ALwDQDZFS{+Rii_Mz_pQRjs)xYg8%eCX7@T(u6 zvL!FwM*rq6_v_!a6iAF(7H5hLS^U1K1>|x>CswfvVls(af}Bhm4OU4`(a19!e?6HD@p!71OQA6F zels{H6)Ctp#``W`Luk8h+&DN%iYW>TEaUGT+s!$?vg+S5eM>|R-^IfA=?X<*$Qe;D z9mWH(2~xCwYrHTwaNa69TQbhLUPb%HW&UL81_N-XP-4%j`%p5>3?U38tJA zIy+@cNU{27X|_DCWT9Y^1~qC0_XwHvE|srWdb#2Mv;cpncHS3)Hau&_c3}wBi;|o&K{~5pTajm8?S7Sto88CGu=8Z+)74v8+A%VT@3IZ@vHiVzjh3 z9-VudtlzhPeuls4DsB+3j|z;1!p?Q-GdUsw)^CXG(p&B-iy6$e5jt1O%b`X{k*Si7 zXdS7gp0)q6Qpam$iP*JzN^h~b3T#K>e z#3*NuR89A6&m?CLfGKOkz;UE8f(*~KAnU26Sq;VcI~bI4yjMTCe`MO(W2;M0I3xNG zlg*f9}Y7;fJ0SG}=nnAoD>c<-Pt<`PyJ6f_nWT<@@Hz5>jwo(#uHdpahoB62m9Pyj=s=4;DAp8Z?N{ z6Je`;^SAc`{mJq^K()7nyH>0;MF50<%FM?-4Gk#}`t)4mr)$LwV7{+vzvR#G#j93h z(_KB*D{Z*^9qyt%T`v*_mx2@QMqz1{9HtPdV-8^Fiiy)E?Y^N*PJ76>@4jT)W^ z{|C4b_bf)GEh4k>^28^lIGH1Vdn(cP{M3SZikiGUDsP+Z_td((!S`WMPaA~I-_Zg4 z9s6$`+r6u^fG@h6<~%CMIE~q=qMLx5(pDBHVKC(T=mJ|PSd3%4qul^ukFc&wlvv~C zxBh>eMN(1EPKQ;53OV6T%3fz@W~y?ZKQ`V2)Dq$;aSEhnc~mCE7#4v%@WdG!h^wtt zM>gi#4W0a>$G!tRAJM#c8Qv!~JT`U~HYK2)+1c5}{?wrVhRI&A>M@kI z(QzDlSy$yUf%CtH2!V3s!3E^F=B}>TYra?i2RSoZ9P8!4%qWfl-mur0+JZHW=|x}} zFL8WWoxHwh-^RS`sAQwNtFJPb^wlAq{AFAs{?W zp~%Wgo)N}#JmjRtyM-*jJUnKTubV)eh=XT-jWJE3xwVTqGNKfH(0^Y=r$bD3B=<2n z85_obbkZ=%b)&fvt#yGv!_eb<$*^PaT=vTAjFgpRl?p*k2!P3B$&`dBV4-|}@e9xe zd;!h|p^R6eep*1iDpv?LVy{>4$0x)Wh$uu^aAg7X2I)XZ#wwitf-uI`;MT9k^EE z#N0mWElGC26@44@nJ&Bw)&>Ll=#XXi-6G;u7$o8jvU;mn2$~%w1}LtZ z@?{oorR9?UH%ZIAP7=dz&i8hf60E01FON0jkh>Hep3jRh;WL1e70twzGfxnw4U2x}7+YW^4MUKG#lZ+e4Noy5su~ zew`!33O~`?rG7rr;XSJcb)&I-+C~I+E{~`;!%8`|(R=KAgq9i=ab_PK+N8rkZ=QdFXsbw$G`?uXa%(47 z_*+<7_*H>P#YPby@t~f}+Vnq+SX$vx=k#VmhZ~DU^P7TsFUrzFPq!Iq{D69MoH*-C zXa>z^TTy7V7sOf51lzZ>5CS|<5B@{;WFZ`{pim5Bf2nz!%#J7Q+g1``+=vk9v-`7A z6{9*>#^~X7gNL&GyVxH@q{LkOOP}=_Lmq|8h#m*Esk{Qgx6p^Svk$3?pTF-|Mtch5{6| zpt{@l_9^`D`f5xpfjlIUk|)^o2z&4C`r1XU5N(C?o(tCE*BPSHyAs1W%BptFdJZMg z3BQJn#Wy2m=HwB-uEF!7!kcGw*x^m%J1N=T{kn9SEc5ozsDp&^iU25xN64h}GBXqsG0ey$qQFcJHok%!Vh53kWr^mgFT*#Rf%4@U@MjaM0!os`F* zWJ;M1&r+>d*iW0Kkq>#`gS`pgs3@Zn4V*xLQ*Rk609rSyES|RCO8cM`3@4{-rr}a| zJ`0nU_l4uiq?kD$A|Q6WBu9@4n~dr3uuM_VedLE0H!b-ns^~H3NkDGa@|Sgi%NRL|x9>`~O^;Qv+4#`YwG>B^ zUi_=rE#!51>2mezIYhQqr3HOb5K%-s;us$DPWR@OPY|W?%wG4Ujq~r=K+g3b;?qqT z)1)|ujv1j$yiliT(otA1r~RJ}a;@q;2*qb70V`wjM`uqYhMCegQt)X(RFPRsf;~>B zEwm=54Pr8MmC&AhEO+_%$QQj3qJ#D4{E>V7JOiF9-R^JmvHm98W6Gn zm!kMzUuypHCF`6}#P)3*92{uN(=UGVggDB|YOu(xFeSyJ>(mx9t#bZVHm$vn1cnd< zl;*hn?)Aj!Yv`U5!s-=td%+$vDBR3xu$t$JCdf0uEff?E46J@&tJa0CB5Zh=an&fO}>7NQC5dB zW$%{@6#X2csTo_kd- zyz<=Jv03V3_u!=uPKpPAdbg^{$}P_Ol=4KU?rW3?>TJg6Lc(Lq$!qQI_U@Xzh0F}` zMWXVzzKJ5RJ_x#eT;4uTs3HthHS6&Je#|t{y1aVxrq%t>2Lj4R8%1Q;ws+}7tz{xU@i}nP-jd`OnzoT8iFyY zQ)1E2quRtb>=Bv4cPt(aM8Vk2xaZ=d0jK)o5ev_i38|g-LpMioT=oG2UcN0YGFvH= z1JbaA3d_)(Q){t{iH?lq4Xvb$+eZuFx1ig9@votz3+fpEniwQ;q66DRLwF-NMsS0`VLCw_Pi zXbug;#KkZvnL*_~;{pWn&EST>aAY^xU%O@(2va8f0yt$iH*ba`$Fh&D)p(r8^J#i} z3y0~`lOFEE#M2g(&r28RgEQK^oXl1p^9u_LfwFm<2=zO?H*D$M6fgSp>{dv`mVHP= zzYjfpk>^D0qGg)fi-}l+F@_1$PX)B|O(W9-wC8-2EvJcW*uLvy=6>DEz##cZ+Bs(C z&X;Ph;MxP5@oBWM9r+E(YISw15=D#a>)XAL9ksO`Npm5To^6JRD7uX@aoko5<|a74 zG_&}_0)18kVBf0kQnFk9-dfac3Nv3kwY9i@-9Q}!k#gc^(&NpP?8dnXIG#aYr;%#C z^qL`!Q~UO|!Epx1bxc`LE^ekcu2ZpQ2(PasI5;_7=^aEmi>z0gD%M%Arqq0DO$~=E zLmBf*9>Ka#IzDu*ICVM$p?z}qWQ0h}_tmN0^(>5O_V{kq&lyT9whv9_sr?c;1me6z7wS1&8J;Y_cG`R zf*FGhEaW+tBsI_)va#Wjk?PE~3WWRaIh_{rUz5g|Xon3w)s;2fYk@?kxVCpB6x?1A@pOUHPjPu=ivY}|UKp*b&d z!k#X(IcA6Yc|%LNU(lH zN&ttoO)y1--0IF1RMFnOqIV5G?Txk@TNxQ39k>2=48O{BZ|RqWSveyV&@L{MJ5@~n zgW!xY*EaQ?CbXKMAN!dkgcCOjDyh7inlf*_bL=ST_BA}retK?tW+okC+VSI}7|Vd> zR`BghLi8}a)p2+|5eor>gsA948ciJPXVDEL#fuS^#SJ}oc(<%YrXtnENjd@?cL9kZ zm&g?|l{xjraTCp>IHgg((=!z(n-gt(J2q5FXaOnQ$jq#s8+clDgYs=Ncx_dU&uZlM z{EC*&mWPza^C|_EJ*v}XcEWKB?B#j4wCta7xdh0pJoD5A_<>F>e$hx+e%TmG2v}kH zq*_~+J0PgH`$njztdq&gDk(9(ZRWUsuU{^F@HgMN2_tHpdz;S>YbJ1h7;@#3;Z135 zuu|xoI!06(p>sll#FremKC0+@rI&z><3yMA{QU6kd4zxlj`&bPC@WozYw8l>lDqt3 zoE8a{p%l(U!87+>4H;0seEs0$yp$z_((!-hOyNB3-d56mm$tO{Vmem3q0BE&oFVOs zaaJUk9Km*{(Dm(MoavJ7O~oMZ=eC$b8t_=f`F03A1QDzB^UXH$yO#pkC|RZUFRW@q zT3(QLs!G$?63!flzgNV6IZ02FP?)&$BnRd;Y?Q`SY1yst3<kk{AKE)AXj@)ko zLjIZQ4ZA1o?8%6${(2+sB_MN=JT_c_WhKvD@?8={71Nu5$GiS+`k>|e__^NiYZO@D zH=Z1<=y`qZ9pLwNs~39|a1t6bm$N5|PrqL(Kfm6WUwR2vaz3Zfa$`=wH^7fLI%s6@ zO5cg0K-t*%HTYn^CnB_CgEi?((^+Ja+qzdqc6(R<{2&CqDTO_`EjWT^wr7N{sk94? zIqBvPsgn_fW<2ku0Ph8i3RjQM%F6N*WzB08?(fWDlD*P?vHR_{pNaYL;woZV&{%MC zt(V%>DAC;6xxY~&FUdm;*bRy|2v+wl6U6a~193aHl5a5g_`21TmmEe7F0%CR1N?#- z4^mp>?^W-O2U?*1(u-AkM7=PQ>a%(c5%2SdDEUo|e*veZ4N=ON4#nb5*$}R&w zFyHaP$poTlJ<%Ou=yWlY>m&bHJ%&vI|6A!rsBVQDB`kK_mXVdUi{d1D-BhPrPFXF8H|jRLH&;^3HW z?f+n68Gyk@*+t6jzZgBXewd>tp>(J>LYtL-XD?(AbwM!M**&8p1E-qmNW(%W?U(@^ zL4b>f)4au>q@)~2sJLwwD>@ShMF@yQ_!0<{y8BXqYakOYe1FD3G~e!3J|dRmF_)cR z_pYbiN*1qeJd>KdUc}XNUGLTZOgh@#PM!>c0{BgmhY-MIz(;KR&zhH7K1u~YROhNk zD6#FCb5tiwC8*_5&9zULmH9zM|Ji4}%TW4KP87<4Q$7yZ47=tWaclzdU0h3i@pYW} zD7{}HRDT1aki%1vEqA_;@-xD-=sL^ZmsUY9%_~2*Eq+uBK)YEy`++?8=p%$2J$$J(&guqaWs=1>TfTFk#QxykMbr6 zF+NRCcHG^^{s89xs=4mlv>JtmrU_z9`RCWYP{dBdwA+t z*|YwhD(fA$(M_vmLBES>qdeRA{uM+l46L8NGkkOE@6Wh}<1~B25y)QOU!9Qry3p@efi_V#1Q+SH zi`Coq&xkqn*SzbgiAFucDj2SAp%^snIGuwkvArI@wAYoq6f8h+i3ko;_v(!&2}1i; z?+VjV6x)&f#f60vaTuOH4NH2~_xJ~IZ^4Sez?Z>(>xR`h zZ-Mu`tQXV`5hIUMqiJWoy=kLX1S27cGpc&;;{-u6TFPB{!Q-WaCayi&PxoWDk@$x4 z2wQhIHw#7B6&q%*B^+6~?x&DNDEp#vGx|?T-T3$yGkqG&>Iuj$F>h8ys(T1YO zcIRRaxMsGV=zWP(C_b3?o!GbOADCAKtQx2ibMSd5)?HR*DMX)!+&kq8C%=^!Ayj}S}c{c5Vet5noE6tU2BX&_s|`` zDx4t)+?9l0OX5{|fiV9oOZeFprED#80!sujNJpMZNAYQ3{7?5XcD)%#$3hT>SO>r8 zJqMs8+{j}1|C+n&igKIgUb+zXJA*(-47J8(XtpwxLp)KFuPR>-g+Q3fSMveuKud`1t|e)c$oXh z9v-WbsYV`8x3ZQ}T?$;hz!BI>gI~r{;crLJot$rEHVnY*1S@5U*Wdp+Y~iLo&HGTN z94T83-d?(-^=^P#aCL*0$Twl#2my!6FsLEmX@ma56%_>3zR2|v0FN8QuT*T;BBq}E zX+W$q?(~QFM^Ihic^uGB?^${SbWi%=H)|o#I1^$}&QM)_z-0}Fd%2d1&N^xofGW`5 zTWh2AwY$4Ljg);r^K$x=_&9@u7uV0{T1$5r7elrXBRs$Lv84w@(wtQ%#2bKiLWIaW zI1uO!d9ae8{!+D#)7+e-*x=I3z=}p6h1v3DR&a>*q4a)OE{=_L@PFtKFzJc7a+viv zVhI=>DDpx9PxzYa;uN zuEYsI2rK>x1PA68&ga^1&(}F7HzdRHcP0l74G+1;uqUeY*wqt0Ixslev?5p(ul{Z9}&7 z6g?0zOUNG{@&pjLINFF~9?tpKJxq42v!447kY~iw)e@Z&ssz$F&|ktVLIM+jGdbtA zp~_qKZtr_d894b%wWqDo)g`9okN*M#FCtH>7&sW5PVR7ZLnfpXP=3SLWasy6m>ein zXn2V1PJl^b864GlTg7!2-`?WyX318Z1yNE?9hGV~O(g}XEo(K$u|EJI2t1*0)oL2! zBV)u2&IFv@;x?_}mGP`++FC-5{PqUz^p}HUHjy-9X>pniYgB$|He}`YXZnXg)`1K( zW+%w^dF_ZTC4iRNL}>`9UVHVzm^AgBCi;O4qkCduqf#;b=hm?nE0?@$ zeUFW+kB}HHdhziq;?ML|Qe{q%lnpP`Ej}o7$Pg-}I;1dRJkEmV>!i);`jx*{H8aFF zw#yTws|Ix4&04wZC0NXf{a;{S!j-Vj3 z5tu7bsE7GuGDfuUL$o=~_XJP5mqcIfNeR8eeqAr0*Ti$Zn(`f{sf&jM9s)Bu^_L0B za=PHXnt1r5F`hcn*1o`Z-wI*Gl_|xK{FWoqz!(KN2&HM}_zH`-3pc&L4R`csE9{(Fi zZ3hkq$hZDhfI||Iv?MAKIe8> zSlWWembAxtPkNS{{AaFxn4!AhbYE^n?8hYYjLVK^jQ6&;?2LWgIttq(a6DPp}1J6KJjWqtfSCglQ~W>3^Eh?=O6W*r})n?@yyvRQRS z6qf&?C^p*U@bEF^R%CTV=QL=iQ2y`^NY%>G-+cEAbSBY{WFuG>XIR`+xbA%cesi z+1bhp)y^9c0*(H@z&zM3p$Nlg^5v1?{`nnfoe>w#k)#Ya3UmF9moUm~J}Xs1*Er`* zXUq9g@%-wC$tvtVn>?Nc>|FicZ zw_Vkrx*2;Gs0Wbhx-;dj3F;W+bK3y`n}agxx!ogF8ypQI_r?g9G_nSQx&h_?s(MX{ Xnsbi{JRZhFy5?x>dZqF5jm-Z71=*YI literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/density_plot.png b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/density_plot.png new file mode 100644 index 0000000000000000000000000000000000000000..d293afe8771c8c11cfd815abf8558e42976b0d66 GIT binary patch literal 440606 zcmce-i9gh9_y$}e;Yc*-L`Y*9dpfpkDYAudvNSS6RLocg*~Xe^lw~BzG9}9?`!*O` zL?}#jG8kje(Ab9=jOG2J^ZWhY_YZhKpZPKy&+~nrd%5oGzMiKy%?&xvavnKygxlCi z-|EN_Rx)sLoj4A>)2uR92mCsUv@*PUq@-7P4tT-pu4krqy*y)my}tt;=gAK$M}<<{5r3NPnFQZ1tf}bLri`9drfONV zp}W6)=^hR#t;VWMmwYJQNQ1Ryv{Uus5&HwI z7_^=1btdgG_ja3M82g({m+<+-EL`%sN>?2c`v3WMd*N}lK=WRHvN)BxzJb4!*iyIi z-wG%Eo|Wy>+U8J{Uur|axEq%Re|xsfKSMf(k^{uww`VELC6DI^UX*hBgjAN{1V*D8 z4BdD=8#@GMHX$G2C~p7MOx+sU-gAn-Z^>EraFYW0#~0noJxy(-arSe#bw{PK5a>lu zf$uY6Wg=MRL^fLB;R0HMm{$*OuKm-65(U}eis!5zD>8*6CmM2VRhGD@)Ta%U-NNo4 zK0`1<5B0zK)1wa;E>?deW5Jq*!fCT)?Z>tHrxHVIAYibBY3-|p665ssh*aoQY1zX6 zXEa~m8Pov(V)E^&nwQT1zVy5+kmK7cfkw2{5l|d66cXbHagVaM8E#I}-R;=h$SB?Z zQo7wAATaJr9*O6>*^L6xgZd9-aLGwtKB`77q> zJqEC+&6~P=ggx5dflS-o)bO8Q^(W*PGFYg)0{^>alR<}Trmp4o_E)CoU3obTi%7GJ z)V;0d-BN44uQrylg&m$X^b2Vp>*ysLy1R*cQ$2h1<{hsB)!o9qU(H)HFeY)g`nyeE z54xtfby!Ql9!5FS&4~ZKUV%Ed{bYd+I>}QamvjH+4>(laR_n{A4G!YEvjkXEn9M_7 z19<~EOw@qGt(T>K7^px&6|E+mSz`g;Cho0=?|{(=NP{-p!ZT@s64H8RgTn9a{-3D} zPvU3jncY|WZvV9!hW4|mxfcVa7kghAC77r(I(I=Gw&_bf3&FeflZ>z>#;#Exyd)q* z$W6!%igR?Y7l|%N*f%ra(e7bzXb-?9-OI?arz1nTpax=;{7$!f8L2LNld$c0YfCv< zVg*_r>yj}R1Z`*PND(Q+b7KgXwV}ZT1!J9EsZ7pmM0n!R&O@(<;z7Tr!B;3NXF@>1^|Csu~$um2l z188JNs2ez@w&+C$6UXblTQ5K!*MP763GEnI7%2A_(qIH5esA$4@3#Y+EcfuX=4C4h zJ@+J~Fd#1=Ahut-e_ z;(t-+!kYu%a<;XL*RlqE02Lbn8KNnQ6sxoL_WQ3YF-CfOi4o_cgo30zr@V2ub_bgm zb%r+OElAF*5PaT0ZkmkmB9x$WxyvsIjuJ~hwaTn4Cd|U!`g#WJiYU!I%GpW`Y;@H` z=5%J7=iNoY-^Mcf`?iJJB!;eAwXrZEx9xxC&*qQkj?*W2!Z*I!Jo$XFe-0%o75anH0e#9XWY1ud&2$Moess1%%kd>C*L#v^S!f&hFmL@&t+2X z$=QvZFHpaimywfEY9~_*X@C^Ds$@)o*)AC!m1&2>KsqYU%5}QukG~9Yc;{Ui_Hq{v zFJRqrXT#=XvXDTi*WUti_Wq1rLutEZc#N`JKeD(>Z3qn*)+SXnsWAwRX>j^~#y0$W zV6Mrq3NyVfYNuS%;3GNNCJb zX#=Wx-~1P%%yb@+TeSqbL?N@KO}V;ndOm*&WE;ko_Vt$j+q)BoEG3UQ6=Den!y4`C zp69UtWnAL*LuWE;SHY(Qbt@M&U4MxT2ybK%fAZ zq&kA1r8~H0uDbJ~y=?x0yzGfe*-cqvx5}i2(F>-BAsRXadq&GH(+P)MZ06o{AVH|* zo0pkTsCvzRDVXp(DD`~&sSm2C5bZ|U#h)9sIB#4&SBc%3f6z{Hc%M3H9X92ON^B^O z!vxG%&mJHCXE1-`pXFC!y}OsC;5As{XD>P&m9-lkH7rc*49&Xuyg_jWux;G1GAW$_ zx4x3uf%~5|uKT^lmnR>3cHJH+&oX#k%wkwl8P)Sp)u4ueT0|E7aJ2VNP4#TUf=?N| zO%pKdFR4oTILfJrMxYbIi1G%Xi)JfDX9>d1&n5<5O1J*RgNOq;B+wF^zqkVRYmg}x z%()t@-6W1}mY|@$g1C|4lOrpKDPz(<=P*@19Cw~{1BI>zi@?fn)f!Eh-o3x;mJyYr zYj)FtRuAVihv*o99*;|~B@fMHl7+qQ_mGkc-fq6Ax}=Y76s#Q16aQx1qzga`>tUz};VYkkuZP1-< z#DQClVce^B-TtUr^DlhZdaAnZ%7TDVvrR7fG&DHC^NZZsl2T-t(toM)zv1K0D@epV zL$Y|BcWw$uxN3{mz$k+<)H-U|G)jrYLGz~*P@lIpdlTV#Nig&z?Z@{YNUi{~O6 z`3*|!{fp_?TQAoBc`y%!o5T9f9qAt^ zaLpF{FDFjc9vWMqV%zh<>sEiKE6lvlX>G7M8ZGT6{eicT1X2+TPkIA{)#(Nh8KkWc zSrsCGYN7ZHCMSbGeDha+6e$mlP;3#dEQ)%U0m`qy5=Rqz`M(cbCCT9oW&@(anIoN^2iwY5e(&X4Ht=C_di5~lO_nPGeqjCdYNm)E-Y8#hsQuhQ=<_Uu0!!ij>7X5DaQu z{63Vorb=qlvG%N#_`I{9;zswAoz(7lk#1G`(37G3I-a1$re+bYnXuoZEB+q+gpUv| z8D!l%;c!=sQL$xw6atf~zV+{NVs6`)x0}`4%dwn*)4N-+6$p@b%Vyo4J^P`JM(BO! zsR&;@WBK@kJxAIPZ>o;=^l;H*)8?lxR4Qmj;W>yLm-?iw7Dxo)>s@YAxUHsprW*N; zbYnWD+~|KSaOW_OPTI%SmuX8u?YLNat+gy&Eo)yn|G0@(d=q!~N77Y3OQSA#`=9i5 zLg>ujfmYtuf%SjCg`ghvE#O~GX>oZ`aDCe8?f(FAY*vmL6rNqPcnwEc#^gYgaG$Ih zj8SV0vVweB0El9+-_}RGb{JQoytZ%EoplYQnNY;^`?k^Q&9m>FlW)N}1vYOxaT=np zL%=_^89nZ}*??_e<%{6YX(Nbp85DENSES%98vnn8N${`>3WYyssMQ+*Cn;z|_^QQj zS5FRfc(=rkG_{TdQxNdq&QARuWQ@H}TZ5EmJOX9X2^y7WFwQYiLY5J<5IfH6oC36t zS^g`M{ZBw-htk>WxBWC7`xf%z$oJNTERR5Iz%go+?|0BOm7O>fG~)ZBgAm!Bikw-h zYb>6n3%4zfkL>CXt4OeYg3w0h2@3$E`aO2q+e5r^dgPOJg|n>XqwJj6Nkae<-wZVS z=+DW9*0%;FHPno%VS$tuzT4xqGvI}KkVo=Rz(Y22@8o${qd&?OKAH0tTTx(8bQv&nJm zy#?x*sexL54oP&cpJ)oZ*0)gihA^AFledAZ?g=V+yEN!Je@S_XpQ$>t`OvR7gV@V7 z7-cX2?u6O_t!_RbXyK}x5tTeh(fPY69m~v>pTx zseqWADvSYjT1kKT@|FUoK1fML$m3B#eLZI=)I8vsM!wm13SKwS?CEZo+?Tv>*Fp0q z>U(8A&AJQ+CL{xakF{!Dqcey~(OJK|;BZfV5dPct94{S|M1grHc1Y%yH#@_WPS2{O z_o_flq;;h6kSCDid17x*t^I)Q{3uAhf_C8qVd#${2@U>z@I(WEnJ9@K+^d?icdEQ~ zqt~nMr|@N`Xb-(0`KG*C0j4{&ywqQpG~dkQO!P*Cb8T)Lq2V5V@)#nr{(my8;bGZZ z`o~)o3F&+Cl4WlYT|12wQ!oH_U1$}Kqo+9 zR@>(xxI3JHy>(fHt^N=sudeqCkP%#}y1- zu?`S;%-;4?qwlafV1KB)mV7h5INNXR8;>9vsI{x^ogn3q{L2N%aXA@d@_+3jd*SfA z+UB5{-i3^7V7z&s7R_^!AU=|p6wu7A;YF>aloz8&opK`AeS1d)4$6i3Lqpe+zPf}1 zcQKc?dzUhsUcbLd^M^6~rIP>gk|?8ALuw&PxwDcjgkLhSV(YfAJ0C}@I?#zWEW}(lyW$m5zYg*(>n7l_#bVycaY{CQuEHtCG2K50Ayozw{|UkZf6)S9ZFSYmVf#oQZxU( zyxX!>)$Jm}1MA@2i>Rgu49 zB7EyROvVPa+`^vGE@K?V$;Ih!)2Si(w)*vFFI!%sq>n{TNc=R;phkea_|%l295pyt zRlROEpIjt6F|Y%g>jnZMMm(r#Hw#50QlULS{m@J>Kx2k8TJLV9huw(uJPiGa$OH1| zWWu*vfIH$dZ~w3k)0H5XNz!;>@UKJ?xC#yB)NG@ILJ>~|$i0GOP`GD2wWXofwQoVg zDYo30tpG%Hd)uSBWKsVdb&3|))LVXQ07=||EJgc=X}dSgxzs`ytO7qB-H?MnuFj$g zWMAGd6amJlkEX`QzrpQ;`t?g$=hkaig@U+y3GPBG!JG~c!|qd&Zx-f7 zV0yz}7oQUKhE;0_$(g@>ucUUN;_*K9C2r*W+BMj8VA|hI(p|jd|BU^{!emaMYKgxKlD)Kg~z5YB+jZHGfD`p0Cn3W=jymG!M!gZn_igv zBy(6mQ@*9{lbY;$vzMQazRdh|LdGOCDvLIIfy`wI83w zMKd(UQ#4QuPjI^Rj3ttFfLI0MtGIoA(galDmeY{-xWb@Dt>CIf z*mrq6fWcJNP5R{H%&yT1=i+;&Vv2wX47nNDd0O?KF^lU@XoZCk#m0De^@eSX#vggT9{Tv@JEOc9qG{rRc{h zuxr+B7`dg3k)D0U1~nm*_YG<&;tj1cK3CBmR8>sfQONb7>o~{K3V#Hh5_DQ8L>@o! zVL8o1O1VG^m%tX}6-M{`ICV<{^l<-vdJ@Y?t0y@$R>}ko(-_jdf3O^`e$;N9<}_IRon#%{XG5k4=?-o zFBhi8Fdk890%V)o8OZd`X8QPs*2|q@7pTFfpg$_Of8zmRA!c_jz-~BR1pD)H{KEGD zS-Dn>XnMn1_$Fvs$cbKTv(iKb7ur4wMe_%Om-(bjp$)(aYa6 z6`=-s4ZSL-gHVfsGk4IDNh=JIMddwfkYBF^<(DUM_&T-{AQz97UI=PL6m+``@%#pj zO#K71)I54w(%769+`oq8Q=rJ6IMuGwOwLzIDOG{sBrMI!zsLxb63EEJTH8Kuy0W=E zp3EbU-?6+=GCYihIy?5HI(`0&G%wqqchi0J-ugKmWFtfP>q9LUi;6FcHb{T^Bj*Lp zBKQ{%((>Aib-UiI!?p|^2!+7TEIv+ub`Qpv4lpmT?RtnB7OUy5D$31IQe9PI&SLX! zu0J2!crGYwL*^sO0X|9u{)m6(Ry<RQEwai z^xNv0wJh|ve}GO58>n>-V&11Ug3J2q;NNmc`xo;(txJ{W zLGIlNQm{;--3pql)-VQx-clW1l z6C%|G$f$xPO;_gyW=(2J{OYCLe57JBfhQu$d&;8E_m*}Sm$KWa%TSw=^moYK65;yw z%e3J}-)5lAz~O-A$$mIR(z&pt>t1h?pj$1!&p1w!57$36(ybsj;@ax&4bN;7U*9`u zc`&RT01NX4<2gr?roAO^)=1lsSpb_0>wCTkcM8? zIum`@&*|iNQ}$;IpL5q8ESktti~+TAep1$>@^>G4vItM#7;4@r2WG_LFBj7 zhshHl1A|Kemm;WZAV=u#9t5v9!`7vhovFnrP+z>{N!)4Z-B~%>#4SZg^`-f%YryM4 zRTHRk-{DZW?n3YGiy-quUSLvXs=~1u*n?CTNw}-z0}a)3Ng3K@V-y-rv*3$kh{DE)pBAt#z0Z|eDqesj#6Gz8!+m9VSv5mVZS@ojEMF;BcIWQ3T_?%#f0g!%T9_ga zbDfUYY7{0Ab39zNvx$Y{k0u?F?PQH`pOX_2HC_6PqI)k03HL3AU+fHhmhVd(N*hYN zbzlnBZ)EqQfkH(3jUo)gw#fJtcr&?5y2N;JUh1OB>WgU~6Pxo5+%|EjU)I=Q8c@=P z6x>4CpQmSfFdmoqF?UiCT=XQUfW;Xki@duV_ zco-;`o_@QJxmXIvw$_2K^$YfJKUL;=eN`U8pLQ;oI{4W!FPv{CBoK5GHs)C7^!o8{<4p%Q1?XB1)&2+s9xnhSLmTemsai8LQB8bdHH{ zj@c;R7LKAzE1Qef2#8ezrv22TAG-!Qpwtbo+U_@a8;-o~X5AwgAMcfrHI@XQ*^GX? z-IO@Rr^b=4uV8!!(*V}9khn?_3u3Mn=%Th7fY!>Vf*%MS%AKW0ia>hHu=dSp(_C;> z!)yaVMxon!%Ho;soJkGosMm~M%;u{oTePFSr9amV(JQTjfbS)3UcM)gUZGn$B(qh_ zcBRxB+yL%>!ar;zI1_zU?BedsQIX-R8_3mvb|@x?F5p}WL^2=@)rc7rZai`G1*Lac zmPxYJSzum(=WSG{J)$_hdXu$!ZXx)BIPPISFpSl4!?!>NKH&M7n&k&Jt&q^XBd>lS zYBgm?K<{QmRRdwkGCa3NOq(}e*$-y5lOePn`3Z|vrP#6a-@`YHD9_#nz>UWp7c-cY zCNP$NC9Jn+a|qj!-%TB0_7GkltX{~KgVocDWL@G|JiV-2Fk9V(Wg11eT?PNiLXq;h zz;{vER?&f_Dd$BhLUij}ta%|B9Jd7RtXIMJ7s~>5jQuI&qq(wV1bfV%g(F1)mqeH9 z`WNmf)x~tT_K$pKH`~>y;Q=B8YAbaEvw4})z*YJ{>dq^6KfUhg(w*T_ZT_>-)mb_o z)ImJ?^2-HlCT;zo;%qPOJ3!a&V&}z-Bit}>U5>uCv&-xn1eFp7zi@L8ZHN#?@7d=U ztXFzW*xUKK(50cbIg)coqo+Ifqy47Q1lN-LtxRXQ%_pFFh$7EL8ilcZeCf3uW}{ut zKGqs8-9&?kTwj)LUWYdOV>Zt4KtYgAk-`s~=ZTP4@Xd;}aft4jz5$5FOGXRIC=|gN z{FopytR>N5T;hY;dVwp3%k2jf=v#XSAh$-b{sOmzXHT1Yg5{%7OH%d`bv&b3;!pPS z;%;Au)`>!c&DY7frpZ0%=XET18<$j)b_F`xZrqNaRJmKd30?k~cPdP(QjC9BN(7&@ zT|#l_>u}GtODiqw)%EBk+Gb7NW;pI(QXfDD4BR3UnlIbt#$UlHp4-dB`kWXIz;13r zDvDz+E64jLH`EBsxiufeIjdQsDNr;XzxtG;34S`45Je(}_7F2|E*QDu#&2Wv+pF8C zp?CgX1^Hlwr7-V2^se4xd+hqX_y|%fv?S1d53Wr3dcbHm@Bl^z zY-PMr)KyGG_hWtM^Ihh?@Nk2YPXQVIvWTwn?;AY19AXhN(J6F|Ecb-EB?(q zBD-|LNO={iX+JkJ!n$w?;?wA2ECANDCku3GWAq(_Z15<6oX{vfRe84Mp;{NI+IH~H zS>R0|w_GkRD*GZIp6lJ^<8ZoU+y);kG-!veE4SvTb*%@IOFT$MdCb@rPd@2MmQl-m zR$~4r%(N$4!|*^&HCLMbuL@Cz+l zqa)Z-pm;o>(4Jlg1Htm)iOvg{Cq|g0agC$ZRPf~Hj%tiN$J?9}Mpr<;Ky_enn1^A@ z!a&Q`JBj0S7HcZ&^s{Ao1fuG31IukoY44xZHzG#TPgXSTxhZc=cUy+BDyMe42vX{X zyx*(ebiOZ}pE$iYL-=$1#!+2&Y$;95koWe4e9UYe=Sjso=!{9VF-ZtLS!^M$nQ)9N zrx?uEW|TmA4U%pVmbR68pll0F6=@Al%#B(Tkw@IEvB3oN{eI&U0%1?HPl zx?KcYO1IcuiX19H?&z@e#}1_dg%|rwXtQ9N$kBd8zB+ zJ;Jo_TG-mStYaPd!t2>sCL7*}bFeUw;7^B7xzm#FmWY#9r(~Tkc%|^yJ<^fonaa;K zdqCXEUTDx^TCW}!qa6nO*=D8eRm(%Vtwt;>x!2fxo~jh~>9g%U@EKQ~7=m>Whe?yk zuk}$*xJ_&*y%MVpIE_rlLp6Bsuc&tsIu-r$;ht|rDVY36EjONssa6W2Os?>UO5_{U z2Oaq)CWAYFWrL2NFb7gCDWZ5vIjUw5Wm7-l*Z_49ozX+PHHn)%)7^cWXzwt*+DI7U zDM;BE0v#t3acKiPo?it97`A&!xKd`>`lxlO)Im|-uG1HnD~*nQET%3#D7XQL$0T00 zEYw|5Wh6UnoI4vM%ch>>WQ5}n1C=-6Os?>i)qGT6=u(|pJ5g(+OV9trZ=Ghaa=V-n zwDr%;X=VC$R;(Ht!AY=bU5O1tpXa&0{YONx%P2)QYbjXgW%#<7gf3;g;FQ+9cqk%_ zN1>UG@;2II#-zfO_6FCe&$3`Nk`ybBeqmh^tSGx-w8dwP6>rI7+5;Qzz`oCkt|%E@ zk-2i`9=DCVlNRGxB*KOlQpB+aXKU-Nc`dFhDPLFC+FrgL2E`;bIuqa_whqcieM$!- zQib@mwxk@T`doM}L1fT5feW1vFJV&eLpseS6gSOUV`V=6B%GZg+D&;hit18F0|nWk z57MsQ*)3|({g8i!vLWzD7I7!4e)Bt0$G_>(Vnb-yWGaYc6-tsB$lFPFND0Y>CGV%@ zu!D@Gt|j?g;$x`!#~=lxfTjqW7Ks+EF5AwJSe`(uCF&(em9Y%n(eoIGQIn(0+w!Xx z;wk#G(w#)q`X^CnQfTqB23coazB3%R{X`qxGQ}^w*Gl{Q4j1GPsi$C1WmzLMwZ%^8 z5g!5=%8Nbb$vQRfvncyxb~JVB&Wv8@>e}}q7>WT}ipe0NNSQ90o3BxxD*-s-Bx0eK zwZCMjsfqzfr?4S`dL^fpd*6+G?t{-@TLPk18YEA9oVr|UQEtZa_7!ikQ6M1*qhV~2 z{ZXpVbUX}{TMTva`^zDRXHC(^lrNpt_ls6GisX;w=4HH=<;|}6YC1j}EQg+4;T6qn zwY6!0WcL0**v|>TsIM4Vg4nO3Q;l=Y1Rp=g(vJKaizmaU7MB^OwVFFxQqazwDOn?( z@GZ}$4}j&#r#Fdzh}@Dizp3@a#8pVzOJxFbG=$1F>y_u3we5S6xUi%E9_l$3laD+^L6`~ zRlbwbqvuvKkO~gLBIAQb+v@|W7$kC`EmWJpAsCzS>AS3#yXiP;BV_V@z}B;MRHr*Z zRb6rFE;hI9fo5qs#s$fBu^EM@*O#N<%K19Asni&FAkCc`j6#;)_S zY{UNidO%DLi@y4S&dU<(`0cAer zUS6I4wO`^N;jvg8o%HT#9b5WDUWytbIGszZhP8#hIZax-2*)xDSr4bLv0vj)DqXRC zE7#)ZNSMNLoT_1I&!ld#7FdJ1aU2b&i}=|7G!SY3a6yo~b^)N)fc{$7iKo4l_XNuo zjRnZ0)~YNAEbT(MCfw+%O9oiJ!^WO4Hk`;hJOb2pA8qz&fo@IVq%l8JAK}Ej+M5od zDbcOhCfS&w>{?Ig8?IeTA)Clz z;t=8-*Nn~~PoU^KCCGu_?<)s9|Mqv(7uN5|@|j%QR%du$$qY!p;V^FuaJc!J*se+W=k z;&R=|78t`3Xb8>TuT0`nq-n_7c>_^qu0ah6Pz^9y+-qh7!XF!65|m^oBSppsJbe%w zs!ZCTOiCeTS8GPg$zAqQsa7^IrC#xA6CzBHTz80 z(v<8TU2uhcU+h+YEy~I0O~%3>f4L{s91qn{J9-~;FGc_c0p(sk$){!@ee}bXRIpvZ zbC&1StZS^_4WoB|)r5id%=*1^clBep&ZmnFW2eR9vIhGv`M^0PK1bDlwyU*3Cv$ok zzqVSd(2Yle+izoBO1`RWhT<|*_1&%tLVN0xH;04ju8&Crr!cAzx7vLV)>UeCicJ8$7zNosy1msAsi+7wvU@IeG08G*1JV4Im z^Hne2z)gGaa?fPSdcSxDQ61tt3Q^ZRS{L#6H+lO(PJHo6=D!6x>!)OYE8lF;&mc;@ zZ?;dAwMqcE|8?o+>+cWMw&E9Aw$cK>1#x;_vdnP_IJM(0oI_Gsi73E4$;1+>vzRoy z#WZ=(bJ3f(GmID2V$6$`E&qCk5=@J2Qw_ziltjS+2zz{{EES<|32-Kh(M3h#GmnXD z-c>(vDUYNK-NQxVr?Ap#OWH9WF;Gzw_ zoNla(+1E0!#2xe(?wo(&YRWe<s{RqD3i(^K51re^@IhGA%9p20q$82s@)-~(pk zedF(UjA}E?5I&FS$8cT53aE3qNkSu6`1fdacG33mM$^6phi2@t1+)4B>}w2dpC503 zcc3L%O!$@r2bU6~NM~OamuA%nC;|G%4S$QIQ%OY#zF8gq4ei@~W=;wx)Q(538cO5y zysszr?Y$U`0$+h;VO_I!iL6p|hN@<$==5$mY48EP(%*b|f@YlX^Y+!WIqTjG<&-z` z1eYYZkI4K#fXlUH+QlQlG`wo4kd`wbhlsQI*fQ~Jd40q!d@FI;3zrg2(dkm5GNGl` zewEL|1Bt1K2VP}OVVn;_hSd`9>5_mJ2+3)mUM_#M-XI zk0n?*mFcu;J7ocTtfZ8ZR;(c)D_uz|P2+5pxDF7VsC}3>ckS)9iRU`A$>-Ed5+POP z@~9ihw_qHagEF;x^FG584$89xZ3@K`wK(8`if^R8BhG8=dLv-HL5^k|T6OM-n>HxEhdPX89_EWE4?wK{lK~ghcfl>cs1K z_nXEePA}4gryKltwbzGt0ew#|&_!!M6eK^=`==uSErx7TJ62dM=HY0_x^2wDnhn99 z*tK@z3+22@UXq9;0Wlnu^X%#4b?H|IYR#hh;B#U=eY#7KguvogU|zrMCQ0KU&hidV zjuF{$0!8Yg3uVjL>PWxp(^tE0j_Nc1d{ruz@#@*g^E*|~yNN^L&+qpwG<{qTl#?Y_ zUCEqyyn=WB}{cNInyEq4yQRF}%s-PCl*+JQ`-!} z)u4Ud#sfor7!Wtz$+301K8wJC1%OrAS6KrguOq;8brfAZ-W3#OCB96sb#Qwdd1AN% z4-r>KJ-9+QGN=h{{QH!GUPaHDb8Ha&CcbD|fx{7#dc_yRDzQ_wWXH0FbTXWmBMr`I zM{ia|w=Jfu1s8kynWXjh(Vwmz?Oh<$rL24nEG|WkdH~WaMoiFX4rzz?WQAFIoQT$V znS7IQplXBgMCnYxBIWfsocS5n(xa-?yR?#slTD2Mq^JUO%NTtUgwWZOAaz=o9-Joe z@i?$Cvq)cY4h2HrH&PUs$f5A`Dn|U-RVz*zzA-I0p`6uui7%ph7N-bE8a10~ngs!- zIEk}pQJf#)_$*9xJ#o}pEI5I?O{emCaZ~(`!!gfr0o45WydR-k*>uUsOA4+Y{%q+; zW#e=oZK;{ml^c`v*FfI|)q;Tf)$0z1bM6H`8Gj={&c0sz=P1t0!vQdXwJIcl>0qNtDmj>7kHtXElA%ihi?t_Z%~#_1>t_l%ex`I zLDS{lMeDUL8?5_;)WSe4*mdR`UZN7aWu*LQW;Zm8mfuaAsT+#*Ohi9J0qcJ>ioOm0eGp<_#HVqx9UAia3Twa^5gcEZH`G97Ow=c?Nvv}c4<|Fa=sdPB=gqz3CT zDmVu#Ti+U?sEgRcyv`AJtq&c3Mdu*?7P7P#VcK?uaZy1GQljDW8>mn`GAw2?~UqjigR(BA}j?S!E-=q!Vb=mr3fua~-)&pS&TW~AlHY<|jc(gF~RbFMB>yPTd7yhNuIMjrP5^eopOrOAHUCVgg1YrpTipi!_<2-U(#`vo_i(S; z&x3*lcG9IijwY|Z1sx{_1RtZekpf6Tj;$oKTjH)rO}I2@ZfcUecc;CPoho$!zFXQF z4w}(OCe#ROW2_78XY_w=e9#|o07=K3XkeS*v(htWQ4cg<=6h%oc@NP@aljn8SUA#o z_LL(alOc;hX1iOjbL!D6hx?Y;jaNaM;L$CRP>|@x{2n8FIXo=Ny$l+sL zdf0XPMqZ6%?Z_vD{jy79lCq~3Jjv5>Q$Yc+|vGWxv zUXJ9Ci6_=TS3v=+5-iGrGFNROiA&#z0yWGY zRqF|q5YCiu8+-Ce%8OJYY~HPgPGFEigmT$PGB}GH{?K{BG zv|7}k@Z=EJt9NeoW@QkQJz56=AJHw7U{h=G>;;~Rdh(OIkKuuYLVv@>qdE7g(deq%A)AuQojmw=$5Z?6n(Cnzl8=k5~MLY5s&H)be7K79#D@AIFwboN!&B0>l3 zg82!5Kwtgp2*-QTx-<~S8t5o!REsz3=&f-)xSV5>KQ=QBEW^gnY+F&eQZFe|Jez+d zrJO&hSzfwX)!EQ9Vz)X`KClN-1s{%JfCbU!e2Yaz`%?oN-5dG?0fT_BH1tf=rS0n)rLy#1fFftb8HgQy2T{Uk=1Nk=cs@yd<#+ zPEzMqut`bBr8aGM=Rif0Vo7xGP|n7+23MUMCn->$K+XV)`iO^)hOo|5#T@C=1XQ^3 zivYnwI^k~$%78px21lsaVepy&INLmPbh(ssO0 z2e+#ta;>jrvA!R!`)XJF;^}5%!L$V1<%Q`7%5@=&nreKW3j~)_jyfGvG`rr$whBBvWOH>0vJ=e7{lW<(0pmuqdk>{s|>Ynl+ zP1(n=-vNLF00o_oi`qxZRc2UurrrXox5T-z72&t+K7-YhscF7};LLNQ34z*E-Jl<> zV<}%L7q?M~c0Tk=ofo0-J}Dms@;8HxFCmpZ&{Erd9hLg=gIH<&ChnU)%NvMO{c#o+ zDK<6nZ>AB+Aw_yGbM&HQC|rYGau>P#tzLI+JhdNe$H*P7@fW+;o-7W{K>@aDV(6Dfo`dZ!#a zc#}@?AVHv%k`CujKq_JPE1tccp9m<#a5qP~OlrDCGs!?=xFQI_uf$p}o-1v`K6&?v zII-9@HQ~)ye_I1k7HU{$U)E(NGYqzS+O$5y;%t}sbtg!oB60+P&A?)&hDth|M6iQ^ z!0@*|CgX(4Am+~_KO6bKzvoi2^0Pj|>u};D+YILKC9aYYQ>EEPkf{+`kK-9VqBti5 zCnEpKxXiJsXs#infSup?S0I5+m9qT z+lrP6zPLNxAGU%jYbQ{{a2mR$HGv_Erzz!nTJj|)L~n4!QZfe@B$Dau+m8bW)vk0u z=RwV0lY*6pAxgfkZ0-hk2Yl|Nt!t^4Hz}YeRcA#ZKoNUye7T_8$?dp`tMk`nik4n- z#I;k>N;PH^Jxmt8E{yn5;}!iYRUJpp!*6$t8-0s~u3gwFpcb9T**j71WX)pG71?GV zsmehjp&Li+&J0Mt}d)N3rfY~eZk zx-E8I;o^1m?ac9oE(+Cy&m7yJ6SQ6D(4@lSE6PIC?%Xl%jfb6oKv=to3{Q2yhWu=z zA@c$3t9{Tjle$rm0pzK>vfig^w+Da&33Km7q!jfeS@IwW65}SynU4d#%0B%14zx%f z#0;>DhAz(lss^eBJl6jY`XB8jMSkBAQ^og_TiYZ~W$-Rb)Ml}9VohhYaCha5qvmR! zL$qDX*hwzs{+ZZkF=IDF+fosVdVU68$tt||r!fx4yhx80 zZiIS1N1;QF<&5cf6>&(vaZKo)LV%%Q4`UUa+SphE-JBGSC$$_NjFf5|zi^djrZaDQ zQl8iGq=m((V~vKFbA0{X#bZrzJ5OqCcO^BJ>b5b2^otj>`E*ymw~&T$zr}Fpx*6gc z*>K=&t)Rh5*a3D{)S&%YHF!OWqCVwt;p6hH8wN66yeI6y*Y(Aul>|@V)5MO`=cjAX zhzEPwq(`2{?~KFmeZBDqmeGmaZ<9M)xr0Ez~|#i1N1P|o%Vx$cdW zgZhlnZBQtE+<`b9?1JV06CznqmN^aIzs+wgxBXmbpX-3y5;#YKid0x#w+huyaPZ^8 zZJfo?KlMzkBDJ!S4jqV3=VTudh`r|t&u@)nEPvlbUeuX9Pz&;tN1qH4o(f}^ysBjv zp7Y$kCqmc+PVu)h_fMt-=DkYTf(-fAQZG^@YR^Mhrm?RZ6rFfCjM1UD#A1>!NB}fI z5Jt`kkear9u}lJY2~=sfvydLKX?GlFt>&dW31#q=@n2_$2PGk2cLxHpJLt}_o~&w*MLk<~2STg|Xz{w7nK|Q6 z(f~IW&DS;76AuOG(*@pUBhgSjG=?E255ES2iX@z0=+U692g})wk%o^`sX5ZSrvO~kF8j%^m*UDr$$U>^ zlS6yzzbQE3oDmftVUa9haPDaAxME9}rC5?#Ur*w=Ov4z(7)M2iLY5n57YnTKj8E=%@(<#Seu zxjJ@`a4oJua$e3VRO4AVP~@?f5WdU}DxL&RKIps(yXYgR{TSwWthMh{Z!dt4__8Ha z>MNTC=J=Z17NrUdTgO8EH_(X!x=mHHIJSi#&QaZt7+Rx07ac2mdjICO3^@%}KAfU> z3K`$j^YwK8`gZ2Bo<3i%y=S@qjR5SEY|t8LdMiXgux%LdEj?|y|;6?X}Yw`fJY0@{fi z%EFiLWm9f5E{+-TwY>BFmRCk^4E2S24mtXJ!x{oaKkmBe%|k>87Iy}vM!$a2BubjM zSEqcHQcFoKtx*^Ds<)WTU#?>|$zrKgjV`9_h%Ppjp37aSO~0TKVD5{B%zc$HSUI~d zELq`9dLR;8BLP*X6lvI*t4GGbGw1#29DlJYvSe!cNEpi11_jT@dKXJ>;Y*qL?+vrFa}YaJ@X32q#OG4m03nWbyYKA?Y#KPBHcE*;UxP)yJ{)-l-JJ_7xyarxtq@< z5|vLfp77rS&=S|@?6PnzKZuAzHV?kjM2!~t?UMv*>4NjtrZ;^+m2#!_tfUt^{X(dU zsGj1?XNUCq_PObPVO7#`+B!)`c8RbM{D*HSDtyrk9zWT)&;2y8yqe){xylkN-_Uau zuPUp+`Up?~o=T2TusFpQG%A$<DbX1aKGFdEX{aP(r8-ky6kIH>_#W$A+SI&lC zc|oLW#GOle!2UV9?c}WX(VuzIa;Q$q=!ex6*Moby>49xZ9mM=z_HgiusyQ`&Vz(BS!K1YS3mpI7#Y5Kge_(etm9Ui zHaRi5`GyO2H#e=QGml3Ls6a{OtNu!i^D9Rbu$hhRQyNmtwHCvqWd>;b=Z5y?_WLI6 zwP7LS3Gb$CN-@)5rE@>Tih%M1@*mNSIZtTlWRYJ^ef8%6rTabj{y?uZ0`~KtbkHc~2 zx^tc9`B~>pU4=|9yjMUWjby*tnlp^_3o9-B@Bcg;$p@Dj&IKDl4aiCrvaPupx&IC- z_0joIPA@UG2bF!hO+iBq+82{sqVmA<(BqS#1+c$llYj?PxArquEv`G`X0j=mHkH|F z#E1>b5E{u!v-akR8>EtfOXgo=r+sui;9R47

K(ZQZ4Dqh%0lFC-Z^%VTu>Ipa=b_lZNlIaVe|yge-L<=^Y*6bs z`TKhU<~4v)q8t`Z z#nUtD9qf4Uq|MzwVTs-$ev-+#vLUQZCOl|6vv#a2&<<-!4kd-D42JG+H9wlV=1`nw z%cg$?%Lzc@;>zu+QW4_MH zync>-KVJP+3u-JZ;3jsAXGwRj;wgLPENfO}v`5PC>l>jEzcZ=qn#S!AX5+R;ZNC_* zX{5B^V6RjS6*ezw>tgN)8-on5#7Ja#sCI3c?0Stb4a4Y`+*EV0n&ufX@UP%~2*$-# z3LVe8H0H;J*S+!$BFKoNDZcB%=wd^WGW(~C+d*0fis-m8cb!eUXH!Vm_Cq5bl_SWN zseca}?VsAC4@~>qO%)QG0RAJ9z_KiqV5^N;e15@#-2m<_0jt{)8E$qs|nM)m&Y zDdT)qC=hDIBzCa94;r3h_2=9it+n0R@+$lxXizn3dR*H65eq0J>arku-A5V#<;a48 z4Os5g%7Kx(WOl%QEL`E@tep1)576H@2yR-e8w|Gn?XvFf@4jCVr`CMh^-~_ZYE@1| zl1f)c7e!CRX8CP6>0{c!A^{T*lo6X)LtWD8rubU9ICJIjM66TNlyrz>GfEtF*eIuQ z{NT|PlE-#!C}6$C3s7aBTuG>tuP6_XMGkxzd82sGPu*MtZKv|cm_;RH=W)8!`@XRT zR>ZnUuHlGj1oMzcgz??9$9`iX4k~Y44ZnfEF5QvmWU;={i!-WSjp*c=S2$?62IK`f zqqAG{Eiem`q1tiR3+4UBi>7uFC4dlCBh+I~tzCJ*%PV=I#tY)uZ)K---sn&M5B4b> zVC`7v)k=OzixZq_Z~Gr^)-b3ZE7_?4Oa76X3SavZt*SVWsngojMD+Z`uLzT~Hm`#H>CG z7$zB~67hC`TbLD|zh}Xm@4*(X(4aA=ZD)>Z2q+)U{^obXcf@p4UMd?hA^;3=yPQf&cT`c%L_w%2_+)@-N7 zuRHa#s=xsM%=WMPiA;}H8qvjhws`4v5@n)mmtT@(zPT>gXg4jKU_moLMh)L486a%u zr)XTr*i8Y22JP5BvigBnh*?x$8*rnQG_El`k;le2kE803)o6ft*^;!is_TBj*ek~Z zP6@)zUcZ|2SD*g`d|^nbA(1l>C&7>WWb*SIN7GHuaGi5`Loc~mnAsu#D>T_Y>Z}1X z4ty5iy&a}5tHCZcjA$H=2^|{R?aD?4lJ$&5)ji!<`o>P#J z9H5dkUpNr%(yP#X02p9zRBEQ@_bkgfnS8(Ci19Z`pVy3h$7+u-f~QMqno$97&@Khc zy#GqbTS)Yy~t~}-FjPZSW68p3;56svLH6= z*EOQT4O!~%GI}gBe^&t*5lbMavJ!ap)bEbN^q_z1^+kU79Bwx6_tNpmO6$bQEUY%X zbrI8v$luV?X$82S*JB-vWOeN;^)q3eD@ta(<=C*6v&-Zu2>I4J7z{EJtCsir35fFT zyKm}>+iv8Zh=5h}08LicP=-Q-!G8K$qWY%8n7=gf)h*Hp}7G!sTTh`IQecs*>V7K z1%=kLj(d|}QRO?~yhKM7rzl$zpq96tAGyx&6il^W1{kgI@otfHfS1h32M+|ZBEjuq zf#JpvAl2uwkz2JzJsX~PFSV?%G_Si->U-=1|Bh6a0Vy47M<45ymShyS2RYkczBHR= z54^}$&}qwvdE<@S6sXJo))<;P29PtmkL-I=$AA6ATlijLgewdLu&t<~Yk{e(O+%sK z9B*T6N41#SR8@;)-c*r#9Pl1H_w?>m7w}xUVsxYtgQW|YIaJ<)pH38ty26cC{a7;d#|2YxvbF4(p(yS)HG~7J8Z|`@)rk406e8|88m*e zf%ENncC#HzZtz5Aa))GhhgKc{r@uc|xG9M108|umDACSt{7V>J_$N=yjeqsG2pNIB9HL_D>^f|&deq}q(9JsB(fq(782%qvLhje<# zds|`Yb&6U#^&!ovYcm~3qqqt8oWt%XfhNbG;}#TP5}EFaW^}kDR6w0T`|je>L^=A%M4l0ahe9Sh=Cg zeo0ExJmNh#h{gDLUwYK}b};%4Ky#jGTL5^MsJru?w;)DRQ-1waSd>qE zxfF?`Y%&_1qe@sz8bi$1-7-FT1XO&+Ngy{9^Ug$ihc$7tB8xa)}^9Hcp|l zEFbR8U=J}Q7!|1Zn@2u}+#40y z(+8^b9;laL48LG_d9`HIf^G@pg_~=8eI86QlBPhf}*J}>+h?<0pJj%Frf0YSg zZ-gReeNr#`ZPR-9&k!QTbvRT#C^o^y72!kXY=^uCA!CJy=2VB)ADgw3y?2SvdTFaQ zDwA&<;fhn5KLZ83YWVC8@1F_Zl;E0Ck5R!} z(1a77Lc-k2cmjCikCQfJ0{`Z_E*geBE%P6EtNxZ+3~pjGZ@lAb=K@~*c~H35q-!!e zL2T>|>FNoj*XOU-Rb|S z)o}9a)OD(LF4g8K=IPxn(Gw+HovhsZ?mqa%v7k0TKBR7MXnKISmADWg?No-;;`0Yq z4T}j6bXFeB+i5)qZnQOujX1P2{MsYSr(qzku>moj9k^SPubAVq&3GPp_2C+77E}eKJ2hL4FB(Bmc zbRDpi=-o%_Z+`!vLHissyJ>1uh9NVb4re@0gVA$-9oi7ZnWZA&4r{*)JsP)J3K|+Ri6W)?p11$-I4cp_LX^ z4chEgV7LCfw&gQP$n1aNJNoxl1H~slz1QZvto~&9h?R(=4S3vkcp&=b*ZIn;shHph1ax-N zh)VyPR;mi!Q>X*=R-dBGw624FVypY7&6(q$d=|B{<0Yja zjKjc|bj`K^TRhB_s}!E#rKjNkp>7T$J)thDw}3{0Ok#^5Q=qbL>=;UPL*2Up$H zkPF1N6z0a)t>K&&#RRrcD3FynO;GG~^@ZAeYD& z9Bnx}o%=cWmliX7wF>I~Ob2m}mMx)YuWkU7q4Jdt4lxKUA6BbRTE4jDpCO*N5$i6$ z@%<3E9p$@cgUce9`hsZf;<*ITHu)h$na3ZEa-}Y?LH94(xr5~6UwVie!?EfSIuHDQ zRO?@RVc zLlpX>6Tbb66n6lT8{{Y#ky=MDc#&Z~moeQVv=Jj3bjuhhp!ZL_a>OhgPyQ{Dz>BJ^ zsaMQB9k|;I@cwG`+nSOhKjJMpr~C(khY}>jV8rKkE*p4%+n!BL@1Nsix4U&)cOlg6 zW-K*VWl{O?U1&&|35{XMxHtLbaLZi3a?J&NFrJqd&LGO$Zoe7FxthcDo1E_3oin^T zW%M~CNbBQ2&VyTa8=~ZN0E*F^KEor1uQ(mO5lbOD0Z8WfHmHAyzpmFFxLkD~%NJT47Aj|F( zN46KF`I=UPx9rti<6E`+tGFoN^=AG9mGx-&Es{~)+I5+HRFs%m&u@ilybrG#34A@h zZzaKDrYDCm1K*28)IVhV+ZF0Jpw{Tf99oy z?R+SngZq6Ohn`SYiqfnNnHT!Dq*%530#PnW&ooY#Oq`_awE&!?4)XCx=X1D@coukI zFb$7%2E1+@N5YSEgZJoPazfu}HVB1Ck`?b29-rjI$&*)JPN_dJx*#TXv~P#EO#l9u z#Z8yAXZUDWwYHqI#2c_sMIOrMT6pGlY4qjk)^47f_@7rTZ2N>hXjxEc+OX4Fmc-*2 zl5(kUer?vf`g(^!-+)PI`ZA4=6cds6KQEMJT5GX!+ z=J0<}VAlE^{}{=1_THV$y2okaTkHQs{Iom}gS5b;fV?cu<6Z@fossnVJ$E$j2+X!T z_BPd<87*WB;sA0~;1yVYV>QZ#F$>7ZJu1~wUI6yH&!gwRo}xf6j+eRI3Jpd>q@M{8 z_e5`_p;h9~-28eN?M=C*T~doFe(faIFI(N30Q?66(Lt=(OnboVeq(@%&Se!%D2km3 z2`J#TXkQ5wD<^K+_!&zs9Co&>%Lcqv!LI-*aQ4K5Mzn5C)yAVl?{&mk`!v)1ESo?I zeX^apY19J9$PwEHsX_-QVTK6l&aX0ymMEF$kau2tNHo1#;;S!fFPefk*{<$shTP6b zLCR3VsO^)llSeWtuYbm^W(6BBK>R%;B@Ah-tg{05AWTlYHkJIgkCMCuG{XD}Otc<2 zppuaLN{O(Zdb+n6A44R;2SQWLlzC#+WAqoU&{ooUw;ukDO7zkD{$bwDvU6bx;i=dj)l?dzjS?NsW^eddTL@06?@#NQ2l#po^15| z=uRo~=jw0N6SVm^tb%todUHY>?l??m4Z{ChmD(rwk}a;0gDz$lzg(48yuAH!T^zFm zSV$52-?SKZ-rT&OH`S~g2QB#(+9yCgwN`hYv4d04oM=<{-bMA$b(rrZT!VRLZEkC6 z=OQ|6!xUD*NvT_ZwwzrN;ZbNhkSz18l91v+P?kLhhA@z0@7(p_b<7_4(1zcWU!}@8n-#QaNSDZ&}%K{KLwHXz-YteVq@U(TWNKbQ1;f z<@LhTVpxJx0$>_eyZ~37^IT*N8~R)K?ek_BL(T9V?WN+}_b8bX`I8@0rG<6BeYk}T z5J3a=ue?wfQE8n`Bb;H~YYIbnuM#5ZKQjD>=yWg*tpYC%#y<;5nc8|~r7duvSc^WW zk3?>wC?Ue(|FY}Wd_6p|=LfRKe7T((H6M?g%?nICgH*xEJm~aD_+BJ-#q9mlu-JQr zY4d3}tE)m+>cr138)I-wyazVGsHNBbhUHQ*R``LR3%5$mDY8QqxVH7JPO7&HknJiE zc$%GPo4~U^n5eFZC*j_1N6&hU4End?C>!+2O#Mp^w%>KbAIKQgURRys#(CAq=GzID zOXPwl0=!oRw!doKYx`ZNZBV=Uipv|5iVtC6Me2kFXW+qMFQgjHR(%i$e@?woviBd* z81hG9O-4$`b(;xET+?wlZ6p^ z(EJ6SsXA8;f7HSfRNi1`<5};RqOF-3I5TjfS+Ei;lbfhy;w0;bUIa++O=ZQYsBwuI zIAg!_4=aCW&xZ)pMd-CFyeX!jY2#MyV$>>oa8A;st9>OnQrszxrBil!JHA(3#xtYh zhF$~xp`A##Zr_=_Y>q9Z3K89Nv+-DT^Bmxy^B&pbK&1`fDEYmwhW-tj{nQp`2%#Hb z%sVfJxMsCYMe|;kr`=(TI>|*a?wTd+8BSj?dmq=C5)vEqV4A%y+k5G}c(UT6ErV(? zech$~O@Gy3*ieDEi5%2jw>-fEWD60gFfH5M0{VbKnC||_nAUM6_@FW?9bkyhkS#b)U4L*fu%S5=J zfhUr{F97&-Hp+y5D%~B3nKtNk;vRy%>pe3e@bRtu_-yt~6MUh(G?*D7T7~Wf@ym3c zcuiuJ`7~x0jBv*Maf1nne;{V>P%{>lrjBnN2i?usca(eGM@_}SH*P$BPqG_H8T*X} zKH7u>^3^Eqfv#%qa1I@gV9$}Yec*FF0ZF^VH-ML;XCb5XaQ6}EdU*QUG?tz|F4bog z(s@y1V-z4d`rUu{w$DBZh+q0)zJ2mn;qXPZYU=-5Fo&Z>hcHS>%YKPZ*hwmrpziakEj4iO zNtkytJp)Y77_&0zYU#;VKgNY0;>@>=TXu|nj)3fQa`EB3ZS$h78SZ&nXi;f!tM$>E z3V|2MxqZafZpYTQ7@7mA1T}nI<|_W%HXLAgtd0H;4TJo4``@ zh4{8QNZJzb6Fz3a!{I69<({slWbWX3hDA=yxSo|4;vbzPmsbuqHtCc2st~mic66-> zc}M(X;1_VN`$*5HtmNr%XI_fx+LhCIP^j)Z<+S(#7mzn}&-AnRDWZy#3|_^BH+bvK zmHmq-tHYQAf2doBIw0={VF{kZSmQWHflc$C8s}kJ|tSM^K>p_?c?|hX`Ii z^Wh#OH%HfQx@elt6{_s-{=*3J((4!s+)AD1rSWqi;MJMhA8OO7I5Z&uv|ccsjGIUn za*}+O&XCNnH~s#2fF3meQ6WdbvMfCw42(E;-(2`mL z8*o01ZlC<_s3muX*gA!2vaSQUA7XkU`{KUUd^vigxAX2LTY*V!J|^E=mkiG{XHe6b zoo@~p#*XtMz`s?+O8C&tpIcbAKM2pHYiLj2q55^=hsP}94@IL{yH+FNGV?n5CU0xS zYnPi(}7c9GKhP1#d)GCn>v+q^x~p0vwmQw`0zN zTzsYnrw9#~k7xqfuWz_ef^+gz3_`eKHr!>3)3(qMBO_7+wP53MzGKLyY*-IBBf0YK zl{>U5_%lxpt!zxA*QFURCQuZ`3xy^I4He%5Hw^cU-CF~on@Zfrao&Su@(H{Z#Xm8QzIyku^N zZDU3>Bt{C>rqWgMe%pDh`SQVV-jc}&@T!z`;zyO(@$VQ2eVe}1t|7s;!)Js}2I^#s z!%gi>Ql@fvqZ8blqoiIiK{=1cOOOZrWI79nQ2I zyqshFGC%zFb$-wK_^(4Kg?!9F>xS-9fM~<1xsdHFbO=R2cT1ocL;vT8<x{A+wMwiSJWRNoT3|4)gBU5WYeJeUz}@ngX#d|Bo2(-_V}XeMl) zJ#2pGoGuj!fFdGcco8!;D4N(jiQJ$EG=8hSP!_@Z)q=GUGn*Ir>@qca8nzv~@a;uE z$g#X_!5k4QW#bBB7ccth?iPGa6s>?1Pn(oC44?NpL})Q*e;RvxANe+j&^h57kyz## z8SS5}-6>6~DogpW!n%X+Jq)z=oN&G0sOHKuop`l8VPM&i!OSlYd2UR&1JS%1M6{&| zwXEfUf5`0#1aCsu6QG?+AYr3|obyL_GhJ3{i1dAst{V5ttYAq!b_2v&S2GbR%=r$e z$<7u^LH25R_bjVFZvL{lP}}$I@3zgnzTuyrAPYp~^DfbeYm*M!5Ix^#{$JN6;`L6y+P*(IWI`R^(4+w$rL??ji`muZ6FC*eN8{nYr% zWYo0Mt7QIk)`eO?hxK1K_g#T+B*jmLLTxb@(uE%wBudXY9+1+@U;vi_06=T}}M(*LCkbpkA)oiae6DF~+BWGvJ2KkSANJ z`lFCYr02ePdhYV3Wme4w z?H3TtWEe$S+Ro7n=7KIZ^Ov_AAG91-Ppg#A*FX_E`b@=0} z8i}$=r+`*`39?`Jy1=w)gR|yMQQ%A~bJgbCh3Ig+HNl0H$g&kj1w{vLl3&I1CV>Sy zz5%%GJ7kwey<6gV{6hXYccJW#zsGxjtL$Z$T>pL=XD<=~NzNpNRi9Fk_j&kjTWCm2 z{eJ%TV^uT!AQ#l(kWm%BhecU6(;GhjMkqMPlIQ-wfD)-4Sm|%NZKV_KgGk;~;CeQT zEVF!SBT>tC)K|~tyuCo68O*%#hL z@T%(nk%DKA3hOQElo_a@WEM(9lqme2a!GB2j0*O2p5E*fC0gdmzKE+3rP#q&&(_@ zy89ZUX!Q5Ha|Cu9MS(m4la_lK$2D^oA6yEPJx;%_W^|O9gXef}?LchVYcum~i?-EweXGpTJw=47M zga%J`^6&pl3*BqWo&IOJqq;_R#m!hgyR&8kFp(k@Hw_r6>iSykyhiynNNkN3WT8Zc zkp0cq43ny*mX`6!s#&<}E$N zHjJ1xCh4vb@ij}Y(L#OjIvLwU@1u%&Kw~KgkZ8!W4yrxffC}aWydA}41IqH_=ASPw zyrU0lhRFkp?Q1%$5BzMAUy=cp&j0@c#KrZ2i{7!RWm2VFe`NlQLGmXWt@f3+Cl-!+ zY)GTDlrYzqO^?!LGHo|BRCU8KYhQ8>BR^2t-O%Id`nRvN32*DqshXvnO%ExEi+<$g zl!{fV+^tV5M8lRk4(4m9K*j-C`Y3J_W%%@^iI994~V{s%gca3izD5I-Jd_1t&}vfPECmQ8!SzfCiPHNrp4hsrk-(;5e9z zElrwJGm6_4rBNOGLFs$iAjwbWmFz~5xAJ22@F^AiJVS}hnc?z_v{}-ocS7}T2T47Z zw9zymIiV>6ox^Eo)vfTKO&^-@&++GRw^#$K?kxaI!MpVp1sdH?!3y4{e>m-|J13aq z09$mi@FOCVygHBhHIsn7PrKh$AZ}Vw_SHh{gxj`sRSwt|XE9^CWm|M~e+&tO(8 z*%2cRh&O^DA9eM0Q>R7ZwfXu^<>dtM!+M$TUK?i)euSpMdZ?X}lWJsWh#iVMBL#wc$%|vuD!)B3Y$L^^+E5!kupe)RRt z_w?5h!Sna?-<5wL*n^Z&4#rPfGT-TEOh?6SB+%YXVE1D~9evhW=~93ypep7UJ!#?)+eqq0(5bW zI(FyV*XS2xqr$EgOYSD)i z=tEh+^QQQ_e7e6mRtdQDC=&wq*dp7q`UTOZ6K^0-iu#qPGoQcdYxemiJ$e$&A^3~c z$LRA~UT3^%tEe8&S5%znA8e2UY4`c@Y7hUG4iRBq!9H{vQN_$Ayw|D|F-sB3Gi<(f zb=x1ea+RM&Q)08rF?h6+*d)@k^tNZI1|b zaJXdV$D47*SfS>aMS|*Lwyi--aq=I=E8kmKQd}%*8W<>t-(|tA|g)e_m=FEXrG%6B=>%qdoSw z5$p=(8{!mc`X!S1Y5TGw8#J~iM8dx;*;pnv+9J@Rb?mf`Ca*aVPU3WsI@m4-ZqZ?= z%TxzrW@s%B*}E3`3tVjrR!`-s!1AsV^zA;);0Ls5O~C8XQCsIPJmYEM*HPvCxTWW{ zdBF;Fe6vQ)tL^$a(c@FgCU?swDg4mk7$=|ttb7YU$ZI*m9q%vC-F| z{%CFWF|}ik|Nm_)PP$EQ{wRITC|LopG~}LdzE+$*vU!C+vM3OJVuUVAj{I3 zMfR<6hTnQt@TYQEk9gjWd)ncp3;s ziMF8&A7315udGuO*XlxWIx{L(X4s(wqv><0;hZA6T^;IySgrg$aRuQZKa(5pvkej9 z`cT+#LV%okWtacey++n)ZnPO{cQTp)Y<+OhKJ5Qe9y4h@?kg_X4?vgE0^y47L3Qs9 z$;=!_zXA@dF!i%{p|MbE>y)JDN*23pbHLsFlK9s?TR&)19m0*}1?$BT)czJmzXJ&P z)S4;V@a|n|_x}ffIa70DTtM83tLESBsI`2V{=7zNqnn*$R*tbupjFNt!$eQ%S|l~h zT1p6A;FwBlWX*!bB0kF#OTrD)MTt#P#M02ogaxmfDb-iKFVq_1C6@AVp2T=fXOI0p zJ;d~?9XO3;%^c)vyhGI3&k=W?<>rA{``v9>Z!^0}ol!x8S7G_)`2xXGo^qKkv+f7$ z0?IBfI(d?t8A>(+&EwB$9=_?s`XTp)t3ddDPF2&($`&Azl+oePJrzvXZ6nU$J$T8T7ksbDZkR*!NX$KobIuPb{4_0|5Fk%&U`^GMM zRblp(S7B0TOXY2f?4Ip3J1J4a3`D`FY_?1KyLg8a1kiz$6Xvm4qrkG2%gVg;aT|RV zpfkmUg7$X@@5BDZngQiJy)V%QBU6ijq_J9q2Tc5!1R}54toMGbOCYv~5~x`o>{6Q!2&Ig&>Eh zN`VAwy&9%wX8;@J=4$bA;NY~)#wW0S{ekNjj6 z0@KM$(d+Hf`#wiw^(z`~E{>OqkW{Xgx<6`m^K~Biw?i-{|Hc=*DjQU>zVkmTA>uJZdv=;g@`e=Eq zCFQXtiFQ(|TIeTO7j*8RX)gFh5>c0)r5kjy;hY1})2_x`bx1otDlaM*DfoBCsLd2_ zqBm5}h1lQon%nb|KZKC3XAel@Jo@L355kWJvBwN7n)Uek*a=93=JMX7N81IP1K_}_ zFy{+T0h4ryy4-)Q9Kf0qUrg_)zntu-Z>daPsY`?w->Eo5){E;2(8&y#8_z3Uvr z^q7@fn!dv2S~exkuCX(Y@>T%5Af!i?Y`mIV=Q5y;Vkq?&o&3P)DH={Zq&7G=L2oSt+nZ)@(z_UmB zvv%EUZ$rPXBf`DZm;ugLTX|fQ<|?Go`{_jrL3hDd^&aHNq~;z+{d>K>2uTS$eK{*S zDw}nn@&>LPNV^JA$^1ANus)?JvRc)j%sk7N+!>H?^wIq6-W+&UC4}$B830;L0wScy zJ^!ZEwoXl}cqcJN_>Rrk!*J|z>t}7nf7Ix9Z7JaAky^>t9W`0O#W8UO!3vUl^pJcF zJzlHTDePTQG;ndPFr-MZ(9KY%u;CTxuX^pi)8KFRoqgvq)nilEUW>4A_XX|*4Ni(B+S%AVWr#exC6T^S+a=Gcfe>-~@l5>X3 zD4bQLzL5rFufvlwn__g7-rX=qYZ9ZZ_QC{c*Z(?mejLYY05Zr9F*WWWf zl@$XU%cvao0rIzVPN5!3lrCXDr3uaq1QQzb`;Dq@7ut5I?VCluC^+us^i=`bMax^= zFm=rI+LL{rrW6XY`>gBNAot2>uT|}PGpZ-itMjvS^hqdL8|@@;MEnyFy3?r0dz%*E zEzdjEjrH7Gvna>v*^bG*nkP4sunE{p>%h*5Jx)rreSF>41%uk-#c;ZVSrOkNwEr8Z zqrS4lxn-QZ-$(c@&CJ8!$l>cLn|izVvd~u0OpFKLe-Lpa>E8^qZ0h#Ij_-DmB)HI{ zbyEz5QoHZ34}{{LBKAry%~^<=Kjt_X*4dM~yjVRRjmytw3gWhaA%h`6-vM!*HPl&} zVnC^!Gtp6YnfykYp;+f%+WburjSge3R`t6-CW_U#>)@h!HM^Pyn4MENg?7%p-I)zH zNbimxPW-ZRw_&DRqhP9Cmi~4;2FP>T(h0Pdl$%8Yu9>o~_X)b&d6l&6m?T6M;S7pL zM3MAEd216{R~Hg`rV}P|0DR?9{w`r;X(qFD?taTm0g;0{H4mpH3|+Zoq^mZCrEV{L zKUtn3X8_e3xYVHGkXbtacB9?cip`P=DdP*pkoN=hr^gbWiVK09dCi4p#&0Kj+wN8D zE#CLrxlow42}@kJ5mLl6m$X7m{7^+d7UG*Xo|iM5cBJ2VA# zl!Bpbri*}&EI;nNdf!;{xxk247{KZM_ZjjvI1;1p=%JOUo0x3D<>eV!5es~^JiEq6 zwQuk(bW5`KrrnDOQY!S>Pafiw>I3{@prhc>JR^r@&>Kr(3}kOZ zi;Qirsw{9xw76RP*){BGc%n;Lo+e@r8FGR&x&q6J^V-FZuLg;dUnc>s53I&ePe)nY zxv7}Aj;@KhR}y9ZrnHGIC1oD42+p9VF3_Pun(~`bWBN^``NCd`TW*&rUy+n}sH^{; z5zTSE9B#TUT~Db_3sizv`ppR#lxVPCV>$QHFQ)zOerZ|;K`WW}2IwKlL$q_uN$+z6 zF3Z(C*J~o$W#h45F76?$Hm*_)d!8rpKP%UfnxY>>7QWc?iX5c7W#n(JAxf8dAPMg+ z5eft6ZV+GJz`a3`(jcmevCC1C$=XNPH@?fb99i)ndWN3Au5&_2Txa1;GT8j8E>ufm z&QKR76K3nL46QI8MtRtQ0rRR@M?dn-wy;P!@9o5*ag_l}I(@|yZY zJh^UJ0DWjX5Sp;UeS0^JMn)*{Zwh{`Bb@NaZ|m0!wntpvp( z-J?niWilv}hkU6_2Dg@$=k1Ep(o=U>9ZNR4vO97(Ky2Az8~S_-In`LnC3|MQdp{+C zeDWSYh2VJa|2_Z}ezauaX3@<#E-j2_gw9}4AG<_xx@)jeD40!Ut%M?r?~mV-?Y=^M zp?uE61@#+2%5^T#5J8wcSkl7PgP)Abt`GSL;e9FD11ts9^C>3@)>}(CT8+Mlz`&#= zZ6@hDQQRHzs!`SQ{IZO&1BPP})m-@wM(kCZ7S{ zZB{+VbCyVh%h4&E9=Okz2@?7UlQdwxeqYhBa&pb5lGT2cW-nmA)B<>H6% z!x{m7!tyGYE6!7>5q63r!hQptw!U?JTti4P+-a1{ zjRrgo-6}{;tro5(*cB}CluXbZeVrJ#8s$mP1K>DW*)T8R+4e45khicvshzlPf};C? zwnmVz=bp7>s);fxL|i#+Eku0Idi4~n21ZdpUR1Rq`TkF6+9*OWG>VrpQ~SuoDJZAl z$sa?pu-kGS%u+L-(Rz+FDU^Co`60~0$=vg&DJ^j#EqTR*{YFtRn~3=n?a1ASR_W|f zMtk$mm8UAW+$X!PU-o}!C#fD0hG2RUcWRvF@Z#!leK8fpxi9Q@)8E&@)f*x@@ZwBY z{kO&nnV=)H5xaA++T4y-U?J;1T9NqupN`6J-Q$nXSxYJbT&1J$6KARKU0rp;BG|bU zZjs=%Lz*?UwV2C;Vk@7O)WieEzCqAL)3Eu47uFN}QG#7cfar2-h~xQ0rr;!CnQlA7 zf|(B)%5?$Key^f|4kBv)=7^V0=?%@%IM1tP@s6Fpl0$%5Ex^mGL=fs{$s3Ae;`^8$YYMM&9fM2WXcwrUBZ z!^#ORUkmp8*pgzp7d<{#-SOeCJmts#vU}{4)%i0CkGVV*6HKp+%bdn_WypX1$y@6? z`nHYxjEs$>N+6&90xIp6rtM*l%l=Zl>8D<~Tr;MgJCJQo;e>V%tFD3e{tx3F9!v#9 zrpWprbYZ~}f@#LhUog~|MUH*IdCKFRBDtbgwKoLfcRlt-^c9I7$vhgqzIh%l|e-c%6{j9MTFy*VwA!abs;a^9O`; zff+Kt1Y&drqWbecHtNEXb}Z#r3X=SbI1J`Te*0_@s5I>GO5_V?J1EB}lg$N02@#Sh zab^vQx>JXFqOV(S1IxYxymZSG7v;pInB2K{jOX+nbz9aSXq~=N{2(N+L^X5z>GeBS z&aR(6PzzQxsqspS(q>j&{09n+LE&Y|9U7~pNC3C}ATupwc3wrVjNbzPkoOv};Y0Dr z?EP6VasFFs$KWiI=cs#evM8cEo6KxT8xPRom>>`r&ZV{YsQd<^YD{#Gl_?97f&T_= zz5}lHtxGY5hWU;dizp=I?F!^he&s^^ZPK$fvWMOfaZ}^q+p~8i(|-=ISe=Wb#XBAn zV;@}pDjI?jwV?0($mRb|6@X|9N}*52p(!>qRLXfA{$bMI+$aW zBI?b0f)Z1Cw`GS%+JMD(&KnKQi&}M%>Kls6nX6CV7+5u)Se#T3qma%b3avfeG=V*R zXP*hPgyV#>r0a<0m6@cv4cYV2K=QBT>~E3I+Sf^Q7=lvcY8|!U2XL52eO*~;Sj6^4 zjbm}}Mncw@BSL7?$xcIW#y3WGviAOzrJn2u zl;?LQ^kQ5!1p{AflXb))?h3iN22e97&#RK9J+*IM8Zso>(^W9%vcvuzNZAg$91Qsa zx;dhI!*FD9%u;X0!XU@C&}@B1)n6ycJIb?_dB=3mE-<{hJ_u5A3RqO#%<=}3HZuTG zNs!FDn;8dV!d7$@XErj{hxd1jAwfV2VleZZU}_^<2+whH($;@*Qj%{IaNAO$i!Q3o zF0@A(-rHLt93Y*c+vzn+Bzyry9xRV(lplRP@z!?vL!jhm`_#{Q)wOE=mw;0XIY*FE zS582<_Ggsp*IcJR$&<7&MqpyllOKGfQci=$-NQa@KHNPJK} zH&Gd6vtfi{dqLq`V!UgAfvg4gyH7IWUo}9AD1vGaJl#)qKWH^2bDhUd(5O3uOuL zp9^oZ_lJz<>q9Pm&NFDJ*W~$sSUT@`D*ylgXJsXO<#3FH5W*Yh80V0kRb*vmR<>i0 zW2EePDrB5OsfZ+dk7JaX%3jCe*z4ffepjFG?_X|iH`lpd*L7a6$Mf;HKfsH#Y#W(E z>3G_5s_A=(L*rAviq&AdeUd0s2NpmIj}Ndm+&$8}_ZI|6*^HUvRk5kXy&{#1+sk*8ff=<9 z$pWxl(?eaBUa6jZ>gy3}060QvSk%H|St>m^jM1B*P6NkQ1S>KgVqaSEivERK1fwxF zMD^a^Iwws!5lz}<4LMWIcfwc^zh9^RD=n1HFzzb069&56Sm9%Sj+q-O2cjX9+jU6D z6i8B3;#1{8@%sC|z#8|d)YSdWmGeYHgN*QRarNYykyQ5N6)H=4RJDKp9$tyaH93P9 zBFQ|1`E8i;!-iChzZw#{P*4YNrLh8CUzK5=#vkHICFYizAoTq6BpcStuEArajskQW zb6)pgi8G(G6h8Y)2<}Y?82NG9gbl0DG&tT^5lRdG$?VZ=cMRQq2Vd;pk!~-w_Djv` z?2!VbCfXm|_8AbpmvWT$gm?K z9^Gr&xiM6jJFmO<)c)6-!YRATnlFK*rMF0>0xiXMiTny+JlyGjAr&w6O_Gr<>q?lQ zduG-j0K=!ZXA+E@h502F-+#X*smN7X}z699N$gC7QHE_dzqiJ z0sQbQiesjWEf{+I{3s?C(>YKs569h8DP4IHX6jEbIz%l1xL(S08SfN0k*o=-nRcm( zpR$flRi6#G2&;TuQbm+W)%?4a6qzz17FN8SdA-)?$$GJmK6gQE88-S{HbUz6bp@PwT~9)9USadG(>`g>y?qGq{wHlV24;|a$MO|JC68^j zFH!|`U3R{AuQ)*t9p&R_JVScl+x)Ad8jRg!;-yib1aCys=#IydsAS1+9P;nzIUvQt z>J(Cc4U*dRmxo^uu39e`3aGu!eWezHGa!ud_3Wwnx_5CdRMoR+uw)evieHlmLjW_o zQ3b>`J}EXeH~7FSUvvBLlTi$OGuLT(tU=u9_TZNLDOU1+*c7AEw((7<+z!sWX0Ln>vfvz$MSw^6?QIhEw?e`%rATL6 zwjMHNXOc&_pKYcpQk_{Uvwk50$YUyTcrgT5GAGCg#B9llv<*CID>w+hwpvLVVnq+ zzP>(L{I=QmMF#G~(o?WBPvy93sCztC^hE*RH-?Id4rb7_Y5YL5wkCn)q;_@s2Vc88 z9c}F$*xPaC9cn3v*sw4&UU^Y}ps1|t>j2%Ogd+C=Sb}xSq$gI(9P7f~jWq8L7-Y+8 zb3aH5YgfuDN?Tjnq!Aq==QZlCrSq%f6a{Q4oqfn^S-Zf9U@MR0pj|n@Zh9-|?gjqf z?5;TQQ`m86uSy@+==m&xCO6%^iqWB{7XmcHj@ z=BXKh+*HXT_9tsS%tAWBeFks_(*`z*1dBBcP|n^D@1mNaIR}}4OBiJ;Zd5ReS@e-2;8q#k zoPNT5P4d`T>ZqcZdrF z7d|W<xtqHB&{k=rKvhu@xEN)t*I zX7>LQMnAbYhCXxoLuJLPPE@f^dzw*h$!z_Vf!Yn|;9fwlEiPp{=@j7bJAQn5#rJeN zM!Lf4pxaXogXjHVP?9(Miq8(-_0*ctxMM)_S2GCNwBoQ$gj7Op-Q7LBw>PC)KtSQ^ zl{{?I#dmSV5VuEP&}Wyui)`XQf#h<-qQK&Y)|9Mr1dC6 z$ZZGXjl2A9B2k9;K5(w?JsHniQ!AfOCaDJpgaG>M&Xs)nE4wkI{!^7>!(COSR;mx4 zGdHSdaIYN*dOIfmxuv)rsf(0sbjTIKiN)Fy``;ljs#3xaS8bVz|AiE}2~xqqwfWR(Sq7I_asN0rv$@j+u@D>{NTC7QZjPfRI%4 zOAc{OtO1y~LqFDBPu2rbt{TaxXZXEVaQo)PtS|B(c~FYll)UrRnertY=xZp`X{xVE zE#!+{CigR(A8-a<`8FBr@JBPLDyb`xee6B%>F#*a? zhF1-~^1)Mmvou(f<|`l`kL{F&WN8lBBnNNSk%XU>`+5Q*9SmdKPZB#)ZHhE%!VqUV z&oi&QCfHMdUOeYVraBkQO>(x1K(=%jB%6}GeUV-6EQ8%YAw90Uv0Ir*&n*bAV{=Q& znhgAG>qB_BpRM=~4Vx?F?JDNFk8D~3mlw|@qW%`*eB;h@NtOwvY zh@h*Iv&(a};3NGqEQz~q?#8jr)W(pn*eqjrx+HLzaA55+RnSswaAVzQx5#0eqGScN z{qE}uEemZx6rw$fkXj1H*2LdVsmp9Rn%>u$JN z)4FL*pWWXnYx8M|LhX@l8GEGv@wJM6r>;SD9|!~Y;mN|uq_73_W6pXnp8n{HQp3 zwi90697Az#0}!5D4ZibY4YW7L@1Qiz+uB4xbKk1|TrDk)h_QnPkiBsPEVG$U8agSe zhQ%F{2W$6H64QHC+Y>{D!Pm!EZZ)_BJjVk(x^P~3D#gB;{q1FWczW^sl^2Xa^h4O) zu?JE2;*x*seoLgsgH}?{>+5T!TWO!Nc4WP<13>CggRv=(T5w^>%D+l>Fv6!)@Ww2A zk+63zqejQTIt2jFvy)IPnOkk#P2OPN*Yb7;#31$__38j7gUoDfweIbNMNoqCp5Q#? zFWNWEFrBD*TAg&4VG*d?qs;B-ykCfK@*HU~*84xtC$#7)He!U_I6a;hVWOkYvnIR3 z5fKf6t%)Vfyu%SkQG*j?&39Xb7m!r_XG&dD{wT)Z9};nl%wWC#39;qit~~R%a;@lV zAMSC^iqau#a1?p-fTD}w)5|a_jMIliX2{d_8?%=sIQW7LBCvyrr~DTxAK_a`E6+4J z33xHPg6Uf#`tPn^;uc=z?pBlX!%}mJ_X3t&WgPh4s`zDi9SSRr%YB!p7l^W(z|KzD zh68<7%2)1O(@n$E%1+RkUUEk81Sh{#HU| z%~kD6y}1%>}IJS~|T1gw4W^0feUleeCW=Pb%rjj=H(k3^)d_KcJ z0HV3=?>?&^%z7^a(y}jJXBt(4?6|tqsqc@X?Ma1QnNNzD~mu6XOSf@xwm-#0dB{{vF zoaDYkshb38n-=`0$7am@g2-Gb%8AsI!Tsk;KzkVLFdgXAi<3G)&tM8^QLw|TEo+ZE z(F3NE#`P+jdu-RBPZbtOC`VS0C0kn5&s07=3!SLlZlM^6O%%n7s=Wjw=RDaIWVFtq zLgnjNAUjs5vq?y7c!1K!mRm7WZt$}e?K`6IwNmh#Qt7=Z&GjEp0`4m$_&|uH)f3tJ zF|r9PEB%eZ&5rf>nr~J1jA`8DlvY;Zvq^Ke^7YDqQ^dm-RJCls z0=rI?f63B!_)8ImIvy7K-h8A1&}%hfubBkre$#Ro%JCrMdh+hx z(Fde`$X%NU8x%tcT7W|%Pw)@+oY|JC?zvF`ZuuZu_lR3jIW-r1QBJWdSf002LEvZ`izM)bntWRidlk-Nbv|@V%-;>xTAm#qXJ~3@i*KSZ7@ImP~4I0H0aW&b*v{>a2^DlSkXBWJ8 zj56CHu{ai#uJ53GPyXT!QoEbjFTFjVoQNJ^1ZYT3_>shI!JehwU3C@~SyrP;aPb9u ztS*{opNLvFdGL5~Q2(Ibm75)~un<+$!PAA@UWca(<_F7#yy&puD+q2rxZ<)zuyz=H zl{{3C0YHK!FuHDG-a)%dz;1T1w@dMz?&~!8!ApM1N~4-QcN3AD`GB1@k)QdaDCqdJ z4$GF1;p}($sbnYoisiv6Ji<>h%#k{iNiU(~K^|Cn7Y2Il5fh;s@5oxkyPY^qU?GVY zP=_jR6VP`XN`lml=)RDb_*_Z-SO63~LOR5bw7&6QUvTOIhcoiMu@8A@(TxQIVGJk( zMsIc}$CA1>Uw^|UtM2nnJBqcQ?WCNvSPIey^mj2v?T!J!NnlaQ!06^;Luvn$Jx>(X zwV9x}#0`bcz0I-LnZXgP5o~>KWepR+YgbDV5E1J*|9!QH_Ujp^8`8M3Fy>e$2oQ4P zmrc#(3V<2yr*W79OowyXUc zEtbpZKjR9igq8L8=VAqMEBUBZRV7h9mDPN&RjXg_Kd*vviNG5dXVNB#ONInlnPpH) zmx>>~14sjD#(uWJbZG-|=tHb}@Kzo~DiIHD=}OUix*U;2wCstqThrJA*s7Y00DF)* zV#ADcQobHmFF1>BwVvMKnmuemvT8J>UEqdx#89fDgu3JUGlN<7dWD9GQWXD%(PcHd zAoWdStLp=6MeW|+zm$owD!q^>J#r+%M>_VUD1E`r;1h|yKxxQLORWNCeBJD6?=WM; zbC0xCGlcXiXKuVLeqEtJiuro7YJbJ9&)Ym#&~o*LV<{r7utK%X(yw(K zu#-FGn_4s{!sgk04&ngv-iB5YI6YqnBOC<9O$R?hjLP zjL>7P#E?P*z9)r)sFiIYfly2!Q30<~(%WK-=aC0kK0!S2!%a}UmCuk2i6waB7uodO_z(~V7s-tZS`W` z0J1>wo!sIZv^h~U466bN;|K!Xhv~)p4#~^VFN-109tWFZU+ERvr1q@oHadKbG9-P1 zJ)R*S#OD_`yLe}5o}h<9AhzwQCovjOhfq$y2g&?$xUs&XS9`@?Q0V|304ISB6}9ez zI7frhk0hpa?G|fPoL`PFs7z0zB%DM4UXAuSt{1L^ttD#-xV-Fy_nu|Bw4wVtwQdghUYnLA{1 zS##O!w0rku5|QN9HO}$x`4sM_^;Ays%xD5PdEy$oi&^J|`?R6))W9{HOD!dkv;35u zb*Nci$zD9rJy(iDo+ClbNU04$3BJuLZiP0ETf_qU9xHn3vF@|7mGun&!1b14PjV(u z`uigmbj1t#=13#tHi#JsGBi-2DRwqais0v-TBNh)WPp@jVN<4{L;9A1T$;Sv9h=j<_> z@oUXtg8ykQ_gztUO_U6YS--Hxg!%XTh816|S~zcJMJO4Qz2-G&>^0>j2)G2M<2y}- z0y~ap7HRv6CLj3>ptQCLM{Vv3kCLfwlCvxIPa*~mCB1yV^4OE*E&dJ4E~n^6a0Ww`kTew6LP;aLAdw(7acN zo4N04%Oo&n@Yi74L-bA)K^IDrZKw1VKPhNnIo*m&-ivj(sL_k*cGx1cq(vq3h7_Zy z2>aS3koHCgD_`J3HFErUiKe+qXd+&|vDb2jo=60%+pjX#2S)luhR^re*0r&!8WX=q zm#cEySk$}r1JhML+J$MKX=MFi2!z%l6QO4ZB$QmHZ9)VFGp`w8#9Pq4F0bleaTtF| zUMz9@734YRtFIDtmbC6r{eC>e7g2U{b2fE+^VTpBN3%WSLA_p_U!p-B^6?GThT!$- zd~mLyyjMQQYo8>yM2b5jF={b2KG%}CI^my)s zJpG2}v({4VT2Sp`*%PoE5+!p`#!NSCW!&!ZN!`tOXKd=)TG&~=(wz{@kjLuQMWzQ( zUStmKvP0?kv@F`?Pg$E6S=uQg7RgUIA;X&w{fkIG?SGGqr$2+Sp7(e;u%m4u?k1uy z_ICUX*8nNn@1kyu159&uC2%jAUnmq4 zz5~LmOzDjFxN8Pj0#mRv6Urc?1h64_yi;up2li6@?}C$c3??6K#>ubUwQvSQq>i#L zL!MQs#Ssag>1EoIrAblWJO7TW*I*;=UCc4A0A&*&g5k?`TC?3lV!xKuf86>za5ix~ zn2(T5S5aX!`8F>M^1PhZc8-2g64Ue#O`q4OLy(8ANI)BZab^?s$BFCE^YbEumo z8QjsC<8w>eYQf*VST)Vz8MnRPDsa^>czRS0$v?j&;t)L!=z*{xJ9LZ9Hv}-U)X@rt zC-9apxe)_ITNG{b%s9;*f+a`v0aG5t2)N6$5Wj!*_O0LVNF~^2HUP=8jSNf)Sj;Q! zk9QBiO?!J%#~@q2*KVcT*%-nfQ`9+h*x8rp9rAedVXtEU-dAObtht)dkciu|0hcX4 z(xk1swN6Eop#riQf+Az$Awbj0<9v6PoR2Z$Xcb&_>=dQkClkXLQ1 zqtmP4bU|~jj~J&uCw!vMX|F{gZ&lJ7IdeG9xpLNa&rTBIy7sP^*|Dod$dmWPKI)Ln zZodBG`X7#0uWc8S4$gu+BP$tIeyK<#sp>Vj~H8mWot|Qjwr;d%p?$n)gEb6|!Ph>yLG6KL2SzJqY^7Tyg22g{3e!|;J zDxfWu9#?^+S(BAF(<(5fvnK4Qgbrb{Z)9P$_E8NLa0nOq{KZYMOHcNGjYx_fn6@VV z@3BZ)-^Vvws~_kZKG!eCx6yrgu*6K|sM~gEQ|74$<|DI?P?jy^Ib_S!8TW`ufev0( zsjmDsV9FE7OsI6*ODXskL8+WqLu$Fr;Xf$mrsZ@L#cKfnny=m|Jn7rl!bZ|Luxe7+ z7+9{RM(8K|1h620-XC}*dgU1-9J)C)2k}b@ihH77ONvcs7!{KiQw27N+L@4r{&w=L5gJvii^one9ctvA)KRkt0q!PGpX3#k*?NDv>+K;4svH5)DXXsJAy>fCFxWR{o zL|{+kAa;tU=o=S4nim7vf&t&yb%Vi~-0e|5L4nR0y2qIf5dXUH_4SY8C*dD)p(un_ z?ODHC%NitycmlHzX!vhU;xIw7dBYRcBm(GWn)|?P-@NO25z&EC8ol$~=|~x5n3XWo zIRf-KmiPh%2l1=E->0{P8MT|Xku;By77e_N_PbhIf017NosIw}5Qse9k^dC07VrFR zqIRH5Za3jd%6L#~kiZkte|-t-gowTj(bCF0eh~Y14Q)CW-Q8ctK0fIN$U0~vspl(6M)BwRtMeufiYT5$+Z)f= z9{)>C^)N0#9WUmeDBUc7)~`jhyQ6W$+?P>_5bTf$7qT<5Nk8}KR43!>7)9m+dx*QU zQ<)*NroBh#E{9a^NWbDEJabf1=1MNT*u3@})>Fnw0@+UC*P?D9ii(^%6ECM$lCfax zGkK6?G`LEos1XeNhW!H}Xl(JIZ0i+H)f0oD^02ml#4N?j74UhHBIXP)I(K$@dC?ll z;_J1s#-dvwLb{eU&mNHh6i|d1?Rgwend;i$AKlv%CI#6rq_K?9Z_FDhay- zXSA8%#zP^13zF-7^1)jvzsdp-5BNJ}YH42xT4%GmK6jVp<_1wX>(+BpWIV{V?1fRW zcYinP&T4ZDJ;^D|9TG@J*OBgLL`iEYLR`X`+kyU)$`XjDhX!I_l#*}it+XEK5qR5) zlcaW{cq(#R#cw2qLST7QKhev75T)laHXbXqk~Nrc-bd}-NYY=B8!NPiH)_=)G?$<5 zyGD8wfze98n7tLCEdQ%)g!kHn7Z>KjU3gL_CWl}lhDRwLCHV6^F!&D6qK2}zIpuUl zQO43^&h17d4vyUfKJ0Pa+kUEs>D-D?23-%Wet9h_(5vinrFw8z<8or1vX)}~U!*_F zEJH~_nCei9ft?-66PeO6*@L*)9kqFF!PLW6fTxcs zaSrA@faOGKh?51WwiHy5jH|t3t`}2aO$%C)zrPnuWQ@?3;dD$~F@j?2?P79_lUYojLEE^^3Ag!4OS7hjRVytw^Cp9#5@aaa)nm0dmp zz4M;zc@4!M$3g=axN?2%$em(;h@}4%-o)`)9vsjFmrJcg_;vhl9`opc0rs+^C=D!w zKgN0G*Z8l#qLmN8A(^JFQ?rtOjCf9b$AjR9LlW3&!5P^j@^bKOxM(KVv!R6I$FHFQ zUPz{Zfb zHBcm^_;gUTf3u(^HFd3 zVP#r=sudUB&f2G$9RGhIw*<^l!e~onLS4n~u>HlFjrCzn#o3g77kH!fp{8C9B)aRR zgV7+8RenrPPsX8&3G1O@Miu|IoES_+84SG;E5xztz;!pCsp;5Ax=>dJAw zFyeiVa4cD%Y#5sM_XH{EsODFZD&8Z{bsd-F9NjbABeveR7j#s14{+gP^q)x;4K=4Q z*sdW?J6LxmbVe4KnWgAknVm4l);5g0CD3fHAkfndd-{IQ4nn`?aFgQou53-eTP@fC zZXFrjL{BK>Lh>TI;tf0xAJEl2Jx2hmwy4}#5eofj6VF)2Sf{!oH0@mOGMmHco@_bI z0Uc0j59w?7B?!wLD8t@lV}NJ?J@G%{EBvGn?54QYv8()z*=jS7s*}wu)M}OyR`xkm zOL4nT#wRd+XzmW~AysAMS=#09lUKQ1Cjc|+boT5M0NgTibjd}Azo^_hI0#4IQLf#X zIATGz!;Y`29j*Q^<7Q7?-LW}6W_F-anPSO6vbgwR5Bsur`j5UP-N$$_&sZ?IhB9xm zeVCO6z%e4DxNKt*;+@v<2_BDTsVDB1>9O2-F*JTFGLKe4sOdjucbynvpGaKQUWkr% z3zED<}22XXCB%XBmE08kTe_Y$2HS_v?A+*q%;idTq1}J8G56*E~S5e?x zosbu+8)-fTtP2=Z$JQ+^g0b&_@H`Ry;7M(ZLH)9uJ7C#?IPL1v6~@XKITdM~kWST4pQWX#h#|fB$Ke~Hk zd2w#lV~OSA5jOV+))cWdY%^?~WxD$94Bm}@-Ih^!P@enqsmp!Dxv@8Dtpv69pzFjv zaFWfu_xr+at^Sy_PHtw7Yt7&VFZap!LwDndQI0?n2X>nGy)W1%Zp;XU zX+BGLB@3)hYChO}uZs{#od#zgQdc4N`Hb#4bOOMOE5w51G{!=b)ng&+#Q;fQHkLTG zxI!$uY2F3yuCZ5+!*XhMUC%gTlSQ{c!u6D}A7YJhx#pKIoke5}>HN=fEfpExZCJm` zh#L@_PN+WC9LqwNKZBL~%hzHzWkSS}RVTsufOd;65;b15$}9bN01y?wl*}2QMuU%{ zN4-BSxY>AUjoF{*N3QO>(M29hUoMS$=ZL{!V7EpDyt`ejV_{Bm9_Y7E{6HKRpW~M{ zV-f<6YGQe?u`%N%`H=Zb3 zPfK@&l98NT+f6yeO?*2~aE5wX->1EoyCU&>#MJ>V0}eCGKQ@4VD>0_PL`o~3ON*IM z9Jij6o%Oh;E`X?cRLUi^V;Geyj~Uz$kBL=ql+8(TIQqC4GU+C|aj%E14SWDkOg1iHP1TZh3$BLg8Q@Bl{-f$Z9X5MCtw>ZOAg zH)g)Te5(G^RIBzk!lvkakCzlP2IaIf8$3iS?EAxH^()rOw;f zh_C2ztrM+Z6=9@Jli-&vWi^~e??^s({lQ+o@VL%TewrhvUlMnQutnpO!Vb4~mh;A- z1;K`dS^C;p4y?O|=j9VF@Gg}-TJtWb1Ds%ZEVLVM`3j<-H@y}A>)A0=qhB;3dBLu-_H!5y5UN>Z3)_t6XQqZg*T0~+agdh=Ydu4B>= z;?(VOV|5*4-f2Zf0BaFC&+uqMl+&&+2UV}S?RwP_m8WlVuhsXSu=3pibF89GGZkht zbTd9uui!MZKE3WCJRjlDfAOFlYIoK<`FKa)@!ijJ z0F2TNwQe9VIHt6_$1yE;2G|>#ku%82&*x2XWBExXwv9FGzkDK5ZDUrK|Kh&h7gLvq ztr5hz^PtNay^Eg9-AI-5tNDn`dvPP>s*7f2{zYGV9|i*W8>gSU!{=4%aee%*#+&^}!lhVn3`L=2dW)c#lkF z1Y}(p+Va*TBvv@H%Cr>NX{d`YxZT@00+#k>4)c#SCi+2Uh>9OKn)f zX`<6JUVv4Cdozdn*_yfxR^_#b8z(6V?$b;(uFK$0Sc(Z!sI2*L*>|PJ7Fe{Vl2fLC|D3N6kr~ zzsJEr{CQ&jh>Vx6%nOFDC%y&?&s7fWVULD_DZ|1zHEZ`D^Xan;JhATMkI3!J>DlMH zoIi)W(v*GDX!aI)!I$I@2*=K|plH*yV zE!Ho;ndb=)_`Ci0e4zDMaqet9?R-49^#ov4=0U`mfQ0_d-Aqc8?Jo* zyH!j_`{etdTI*;}n(I{IF>PhRY?PslR?gTW2h$y~ufJ!5+D8JeuAY7g2zc^1tWH47 zLN978lR+hlbH&a?eOs)K{q$<{9`|x(Y+CkQ;?wgwk4(xSh@N@ouYYRY4}2%DDmyS**Ss_I zxMFp)ixee{N|xk@Y-W?9`Bu@{Lm_Xt5V)ps3hNw}NLgW!Y;CIYnEV#&l%Ka}L;}h# z6a~!HkTUhca7s?sYN}K=p&rq_xHCsw;gK%zuO6d~XAsj(eycBcK5V|W$pl{R_3@s6 zS`MRE1g7K3NF2E`9nklIA4mdDoy|1=)#S z?Q-RDUWE*dW9H51u@i_GdcOAZ*yz%#FXIo$Zpf@WI3_ZK<{P*Ld$+D^zE?c;2t?S? z0#NI_o(&U?1MGm`@Iu@xtxrpOMBV>2xh>SpK-HpqVWup(3UOYx9uD{FLLVzVg}!or zzl(ox#$z<|gFO*<9M1sY`xp1BJ7Z5r-S5CV>fr$)T{CL2P?@^D^{91l)c3 zH*OVgi>gYE+_5uPbHC*CT`9D_*73Udv36!2RStW$OQPEd?kw$<~k2 zJ)&)5%5}K(=x!E{JbET6tPVVl;Q@DLSHq)I-K$BkUKwHc(s<;122ofN-StTH zLK_pAG)!ESle~^BHW=z;v}%tC2kP3Hm6ApgV{l+aw$HAkx0CvjED<1e(J{QpIcM%* zVXmd6fr^u%r*7T`C@;T`Bh8+EGHVDYWa3>p#JEEZ94J6QQQ-4*+DP2vjEwcvp(Hx;pENYWg|-@|;Kq9Vt`?aT-ySOFjjJQ0y; zOuv@fF9K)L^|>jdLtg6H#K>ppy&k+#jhKASXu{RU>PM#R*4Z~4me2^Nnw@i-D|wfu)^unZACJ2EK?zdHyZKc4v(3j#|juORpuW)k=N zn7=>bdkz?rm#FW%_V+VXZ~5yZnwMDp%gm+Z~NiT(<^g zg;QT9pm&AaQ!a#mpAMdX0F*LT0&ZDfBeH7zQHo1~)8tEN0rZ3IS&Z+b&~-C^x#0yPS}S${l1w?*}zSS`(q@hsw2q&@e?GAD$iYOy?K3b290wCmm+~%HZ=^)>tGtP5vwptaVO| zc=WRclvHJ2TxcO7xboLVF><%5#FeFnZPfn81Lq47-3|u8zmv!|<)hP*dY2L|)+F|~ zo;sJ+GBytK0_g%WV(|&a42Y;DZ1@(iV}tEe?pT z*F)JwN^nE3OiPB07g8eU6+0@lc5Q6jjo75AG3w=gW?7Ui?G{kc>7Y+4tkbMd# zviiWNSM}azTyOlEkImAr?upR#I9+Mbk96>kcxQn`G!PyahMmo;dVX+H`MO8e4CYRA zbyq*R(>fxVuU!ivhWeq*bv#s^6BrQGg8`B}k0iueDtSpgyl{z*a!^nz(k<#0s>}F^ z;v)>L0VqvU`88a7AJb2q8Is4}-?vkNKP^3NlRUV6%%+HY0OB<=G~kd*F)#{935zwg zfTzS-bmmB88G*m~t>Miu_pK!pPo46UpizLW=}qt;hxeD=mD7&q9l?VAotSwO#`o;w zXF@B|=f9-$56^{K7t8N^{IpQ2x~U~2HCLxQwW+*3`H$WY|MHUP&{}xjQ3kOzeg3%oaJ#YKanfcFAb*V>40f&u+ch4MRgmHLIGgW?7c_>)-5Y6RZOdXZ)7z3ow;nes`tVVTTykRr=>I&SDl+Qd5N$w|BrM0eP4nJZU*cXZrUic!}cf1tmU*k3f*76Mb4L4U+e+-A4Y=Dr4^oq-C(xMHwvZVnWWzn1r}8FZYUgpC zzgKOl@d{xI`sZ|P`GE}tR{b#TI;6|78wdXgKcqsA*%;@&^j3s`XPq*xBHq_s8egs= zB8WkkTXPY_1fb&x=vT;%Bo0KLU@l5Z{yfQ2gKiNbF9>sIM}X4!gs0{1*5Wx{W$yBP zF7iZlMHKJXH9w993ynd`mtt?~MPQ!hqJV-NNnEwp zi^S`o@V}+7DpU_=l|!>1wDt>a#1YiPBkI&Et8%3 z==}^crC*>OQUndPuc9lCY4XI9D`h?u2}WyWQdAtIfa>j8_n$bf3-Px6H$U|)CA_-L z*ZJ04&VC`9gj-X(w*#IW893ju&};=MKU8-UbSgu1XLD%;el#Y<2IlaH8H_5+cz>5v z&>~Id##{^Y%|G9XB>^=k!+h_yPndb=BY!c#62DZIs;G>3ofJyE?df+99SAuQ;WCQu zk_QDWAH2SvG9sVuD+#p?K6RZUktO7(dN{WCp{`@QoN z`X}T`Ys;!z9edUbQ%_!}XWi`~gK27$>F4h4g!hIg*%!dD?w}IkZ1<*gx$M0EQg!DK z-6s9ErRD$XvP8p7_D}w)U8arFWKEjkc79wEzb-E3E>Hizh!$&lv{z8^QoQCk{JA{# zE9R^ZqryJYmA%zI$UgUdrjScw{DN?K9El<#&KNH{KLxK;6WKS|m?O;1zldc=43WZz zKH2X1Y+rUp9x=|H<+l=pX3x5e&$>PV`(yf69~Lc@ywi-daQwjk*twJYn{yYN_MgdY z(B5Hn_`M5~gm&GEGU`aQS&5MH^VoK=}@mK6=%;Mu)JY;C$iQ zpHf}_jG#XalF4~~va6Rnu+b{*RNJcOAdw5c8`7pg8? z;NWkE06Nw4{;ID34p|qsQ!1{2W0m*h4NepFH5;XA7axH-e9a5R93x0Uk)%~3TMgUv z|E4tio-7KUw`_|nU(b#B=bzEyINOf52z>un?10&1JZodjqf5ZYMIOZ&6Xs3FUc}98 z|LZWF3m*eYBXYOT2Deob&TZDK6^=K!=e8IcPeMO^(8NUvS_eP9XN%_NS{1Imp3YBR zZ1Cqn;rwCB+)+x&`;0KNas6}|HK`MCGYqYx36u6YP4McNzMK@TNpgxO)0CQ0_s#YP z_(_LT+8>!`PbFj@<W+$pvd_B`4;W4q^;=N8jOQ-7uXJH zi1^Si*5k)3T4zDsLZvhkiR@{qe*`M9ZknZEk+YYUkE{|OY5J>p@>XbD_-*#d`_2-7 zSDW5_eUkPhv&>bLMW+esyq^LRAvD;h0zpRJoxgE1#FYVa?K-VwCbTN-d|6nd?Aeei z6-`>_uX#FMC2O_Ug*aS)UmLyKQxS`x1pV0RyC2@u_2bh*|CjSTZ&1g3>%28C+T{Cn z$Rtytg-wE*vQNezp{^s+dNPSBVt@TT0M??>n~keI%(D<4;{U(a2Fw{c(l2rQ;@Raq z0-Es3H7mAK4}>1dpO&iW>$EwJhK?%gW@-p`8(ky=0Xlqyow5;lL6OuQSDwN8Mq-wA zw86YUeoA(s>bp*(pfPrj)LowFbzd{@!5f8F6xOLX3Cj-$y^L-rWL=R=O?A8#`F&ft zGd_bEprFy*7D@hXiI+fktF@;*%H>asBCyRQQ|a-uP2C&z%TE|kh^OsW7>^$l*+D+T z=trG@xcTz%iCm*f=!oQVvP?Dnq*m<;YVS_3%Cy>0Z|*#qCo*}q)*q2C&^6H|wwbdp znjCk5d~=wBMgh$n9|ralC;*BZqbH$l037-O16}@9L>OFuqT!t8FczNkHkp^ccPAUg zvYCpYxeQUQg+$0J>>DSqz64bbK#igg##JtE-nI*V^HuH_PyyfmBEgrDF?Y1`7(z>(#OSX>Nu@=vws{Ip;O?RmHE4g?O8cfB(REpJJ{^Fx6g z0=?q|aD~Q70?V_rZzJ{sVdZn0L^I?1Q9u((Yd+?QT=Z5k_=1yPV9I#}qVGRXfFjhh z$xT0h?vkOcRLjnw>sMiTmF?p-8lrl`buM|tj(*%3%B>2JOCa+H zS2MljDukEA+o$|bX)FUiwr=pwadSEeaNm~7psFx{lN6qGLHc9yVN1lyNcla?U-YAT@L!gmV=b zgeU6keiFRVUX@^NZWkbF$G|sJ!H#XbVv!M0z7f*$*c)fP+0BltWy2>eJ_>p><%i4R zB8c?l84wb^u9=a`BzcLIseB`=aLTF-HPpojCy~D%f3BuIFX+I+kA;tGXZDAUcmL+j zQBrQ$^74#>Q%L(f1Ws%7cYA14J*j?HaYbGyHm}@-7N&XuK>&5@vBF$Uh?b%rLyPFX zGHX7mojIUv$jY#tq{qbmdndnAMw_KmEYpP`%9XM~ z<98k_n6qI+`j5|E4uxy3NZY-%-;r>nhP!gis5JFHyO#Hc3kko{krK?}mT2g+dUD%o zPyB+RLPP+QcQUzuk8Mcn=m!XPXA5(NH4pP0nA$@Fw7+~THvR7=9r}d;-5N~bx*oX$ z#@Ej^&)&QOGLh+X+lCaupk10K@H(9##JNksl}YIF{p0}9lgc=@ha39hqB)!G3a&h< z<+aIAPW-=I)Ri1dbD24_7JnFC&OVkN$I{jSa%{jVSTvekRr};#elwJsA8!*G+|eA@ji-jV=_OKZ`N3Kccf!?AHjZ)N*Ox8{JTv zZz7rbrdZf-g+prMg}mdQSWcc&J-gxy3twTQrHW+=rb;o|+R(_or-}aV$M@y!U_=DD#H4ufc{1GKZ2Nq9MYdfj7YUtMKCd zn=o@`edzZpX1M)Bl|HEiSSlozHAJ)6K3@FiffElo6ToH7>>hs+|eDlx|4l$wkS z$&Nf|)8k?Q7gQ=%v!s|+CF`~K*?pPViNOwp#NC^mx29Yii$#jZ(ba;h*hpoIvLNwU|w+*#a2gwTh2%<}?* zU8Q$%KYBh{!v(#>%jyIFw(u+vz(!KukJrTj8Jnj64NUSry0KT;u1NLogHNeM)Z&$2 zEe;`LN#8mXuKD4Lw7@9Hf$MA~ia84bSUBoa<%zU%{7YLL&1!ecdx#?8Xqs>sQ>mKog*MZAQw%Bm@vCZiDzB-G&MFjnI)Rkjlex}MoKC=n+ z8DV<`jcln(23k}^&A@|t%O_qj+|DFw^}c70XfF9qeBlx?lC3HLZ{I!l;FVHFT+r14 z!6O=|M^l`Gt<3ivjHgkJs*VTEA^(>Gny(lCZ-K%s(7zJAc8;(*PEtulf}7{29#iy> zXZNr6qi}xC4ak1!W89>Zw$eHB8b7qWsq5L(n2#??EMcq3M6z$SMagB%pnwRjLRCWy zr(=>~u6@q29kI#Rp<%`7u=onP7MD!kY4Vm_yR0*t?MBU1R-d67Y zME6e%qi!GyvvQ|$p}GwXCOX=XmH4UxvZQhxJ?+f~x`;K_wLG|5wB+}XMLY(pG00Cw zHOSG6$wGS?>Wa+GzR5z}6wI>oDXkOoDYum;W3~x)tW&y`arlWY65dDbPCk&r$S6%| z;q*c-CN@(_#f!wOQ<6y_=whI0IU_6$7UzS3i5k}C$mZFDgCu_wfJ|&jyb3!1gfywV z_2(hoJE9!b2c~`n$HT7d9ev=JNDnE_g`SrgE^#l9BPid&Qaql5gY?v!#@<8oznP*o zx9{xSv}>%ni(rCDGW|?3Yu0$$_Ej+`zvQ#vfF6 zpe}tHBZ8GkYgXuQSn90X?p#`@u4N1Cj7Fky0S$jF-qR>M_ zVZsq&=i2aFT=L+k>1vV%H#sWJ=yPVY^h>u2r4EM2_YSEsWMMwfnyCZlKH32bJ%z-6trKf8<4rp4)uU|dKNu#A z{}ACZ3WdGfdEJ25S+_E51K2u z+20lpuT#g0CRB4#Wwt{qP&_Hi(8%x@I5pUgL-8`1J?y!0>2=l2)Z;NS?s4* z+MDFd{W@E8FX9%k!3~PH6yP|Bt17BYpDvb>r87v1QT-etW#Bk9(+ab4C1bHO}pUc@yGLXe^T5(*Dc%F`Z}rhtQGd ziLK)rFl{`iXvwGm?Om&q~6>hBX!vJAzBk^&YX+hp(p!)6!3~2^K&>Z4A`pMz9S=RUbEhwd)iUf?i(fPhf@=}%i~hN{o*+{?tPYK zo$kA-pmY%686kMw%kc8%et}Cv8kU2jT$mAw$l+X~dmJPSf7|Zi9U!Zvi{vM~4dMLDQs`Vzx531!5ba%yoR=$r8=M=A@JtcC8&83f&8l@rMm)5)!REeT~p zpkwE7S7ET)3auu3!$qS+hnFuqq^EofR>s#?dfw_4FMWZ)373Pb8ShWp)Rv&ieGoZ( zkm^Pj*xwD5i*$@LlYbxxl)vhimjhoWdbz5Hi}K0y>5MjR{aDc2>&hc1Vj$zhDwH{< z3cAg5JBX-JYg7Eu>tMP<5Diz`$}E5OC1*)!`gxkbx zsP;$#HwX;~JQxp5t4Wk|UcL@HwV=3)%xJ^oWBupB;1uG?0^?qsTw89et4rry<_E)d z(I&Mubj`H5&;{vFDpi<1rb0}3Rtrg<3?U+dp~_vXPniDsfA(oW0udH8cW1I7K@K6N zAHGCwT|hkoc^dbp+aP$4Vj@9$+bKe8R1!5%xAJ$v|THZQd8#T=O z={Txp#R07YaocIC6`;SczO0a4@wsS0WZg?l*A0E@S541c68O@NxSxNRP-!2wKy8k6I}C^d4U2y@O9KG>>)Y(@*uWoZtqg=c6sB zPwiaM{)G*+dv{^46@h0Zo|I5HK)*6qS&;ajiEmGNtSIYw#?97TnKRkGb)8GYEN@Gc zG5n68%DP#3xuQ63%Q7!X;i~4_s>QENLF=`}|1!LG6EEa@MIt4`EtpBpqkNE;)tJS? zg_7JJm$=yZ4;6>J$}wvK;+O~r>0Sv+KW#aTR3+2@Q*+is(UI1zR~L~{o?A=2*->5N zCi{2(Ao;2BUk_UnOz>Da5S0Eq9~4Qf@EbCEeLH)~c(Bu`+kaRWE1f9w5=gy?CD_}y zKqk5^Z|2nFGZtm+g7-f3IC+EV1|)jxP)jSynlv8n6@RIjH!Q{;SzubX{B8Ge>lt6% zz~@QFu{ULNPHg4JiV_v;bdi(G(awazR;U6%phe`~eRpoK68e3-IYlBe&2*^?u6k5H z7?+5?%D>OPMhi#U${SKNdLvM7=?><@71^kYw2*V0y_zg7GjHKifFm_3hF`veVW6dc z-;<^Rjq2H4`Cy4Rktm97AK$mv^wOY!y~rBz7Q_80+PgEsAX zApprglCfqBumYDv(x+f;>!^%$X75;iS9wW6FhG7R%UVgHDI`Cs>0!9b{w0BmbEt#bJu%`{T;S zGue0pCsil#jq24I#S}khH&{O0rg0*nmoBXIWSNpAJF$)s( zkMKOZNRg#<;XVV`-J!8t$uQRO0~@W-0w31lj8p;PFOiOWGUhwm`MXm*LFX(9aS7uQ z_iPjG?)hsqxe`%5Uas+p_+yE|g~*E7)*L^pck@^W%TB_m#(nOyfH&oyqWMIZQ5fM& zdB*{&7(+EpOmE8RVqW+qp;!JqVv(ce+Yb_c&Rm8W<3a1hUr5McpYa`x#@EO5Z;SSB z-OeTEB``(MPU99#zpu(Iuy-mRYj--3NN~Ji7G*Wsu1)`>gyNEiLV%~l#2g22&4m0F z#7YHY2l(gZ9A0l0F1%*DPh5zpziTpbK&>btB(Iwzz77J_rk*7Izoo*yomcuW;dZ9q zX-3~uL9#ivxd*F#X8Y}B?jlu0SNIngGF2u=TdK-csfoCn{0NSEh6{Z^j6l{3;w11~ zoIx(%sc6v$HeLQ+9;ErH360&cC+aqBE*m8Mb&Y1XuC+eua%>}i3KT}=n*k{f@5NM%`NJ$ zkSufrYx%$GGE#l%o3_J}=i(K>vWP_m|xRlKymyonH%w%XN=BVlgn|s*kTZoKx*ZkyPOb z>>MBW-o>LR`}FTb&tp9Nk{7A38J)H$bsuqZTN4|5`fc4=-EpsvCm4PWP{^l$0yM>-fnN!J<9GQic}R92~^ zd6v@6s{LGgIN8YhWdv?ze|SbOq?$_F1&AoJ^vG1a`JRvur;{WiGch14ei?hC^pR>C z#aJm6=*RI7OC)b!4@}fj2$P$KkC!rDY57O3?@z7<1aB*z6{PZDR*>n+yyP*LlFIKB zJmOg2QG4IGRtCyX%AW&FlHl0~K1@*3q+SfAP7eYA`_DeaQYtSw$nz{sIy~0#d*W&VfD@0 z17N>qINPge#XOF^$5in$vc2v=O{AB?#K6xm^g6plb1*ZK{3D|&WBCJR6zvCFb7Of3 zr^rUcgACohp2cUQ>ut=Y(W74Xi2DNUCSev5rzy`0Bo-1djeD|-Nr!5Gp;{zvFV{ZTTWm3P+|F7C}fBoE3g2P{kh0q+tQAh}44;7SjZL${< zqFs!M;Q}5V>y>(Ki3mDVGe744I4m#2c`!puh(`j~j3&_%#Gx}YE45%B5}766?0eHm z46u4p|7?od`4)aAOXo|{M}s-Ve)+@YO&gXuarg$+vZ8-zeV_I_1y)H6QLJ+)lG{*d zciYFLbQk6d+@u>N*P1_hWdoRe!7X$?m`y3VYMh{nlagfVaRNnl))Y6AJdq%;nFOCn zg3XTYi6a~_wbmeR? z05kl|^d6LpaskiTy9aon-PV^Z5?K7P-L-Je|E1Kb4jXmDm30-*}K@0N~5Z!X5VXq`1J52lH*zV^|YMTNn zDfLzVz*|c>$AorETG7@qHvZMVczni%(g(DUa&mI}HSS-5ruZ-w&r-%jBK7?)eqLg* zF4&+&V+&fdVr44!Rj4Ym1^6}m_3UlVwnazR=gmU#{r$JWL8$D#_Xt&qb!@2Ze6 zZ%xW0A(2XHk(;DEk*D53<_^r`XEsg zb5m5m*k~>^Cjrg0zde!LZ+m_25Y)#joA$Lid62Q6q0w)>=y+Gq|5CP}`b$(zzM@n% zH3Y*i^aJ^)BKm{7!U{L;`Ja~yC|55ce!q0vE4$i~0n}%v87J&60zYO#63L2!Jvxmw z`Y7Aj+c00SB;K`QNnp3Bs2s=jb6uDQg6QjcS&o@{oQ{h?$A#G`G2)|ReNS92E-Llg z`A2UoQw*xP_*YYDEhk2Ki#tMX}>A}-xbz4GEL6ZV*=evu7o-IaN=G2&2u0dm6$>$lh#9Td|`@o|~W4)XwV{OG( zr&4Qw%kn4rIhxi}@VNd>kL|GSd`7)B&hj^rzfIJl?&U@YqBz}7H$rlvYU=-4f@Z{( z89v99&%aCxzLoq-Y0>KrF@Xv}9GzC~;4$3l;MA7Tn6p+TwBAAu;`J^)rTEFZ;DY8q z6g>^yy5cIB=Gz{U-aLv?Y%7)Ibh&1`cDjid+a5RLfNur*-|^!DBTr=nvqoM0Dk*{h8e)=9;viU@;%Ts{e z2L9B@QV{&p`UJAzw(po#12chf!3;&Ht9bxeetiz}@7WW+YmRffi8jn8+YtxTWqP5LN&r@V2@{xVud#Z;n|s@8?a+LBwV+?` zpt}494i*7mb5)E*6|)W-AFkHLi;#=RAY*CLP_QYv8KQbBAO7>zrfx>xkp} z)67}}{8?Mm7nhw@{|XtZJFPzO!9pt-7^ltwus##~DezYuwCYpLCR21`Fc8I{Zk3&P zwJ+JXK|k380_o7{RognM9Vtn z6yv`46;`R=6zj{cMX{U(WOD6t1v?JM@WJ+^JY~NO>GJ9zmgGi{cpVKiz75z0PxG=( z^ht=2PF0fFbQiN)iVEUSwBWD%!|M=6z^jWKN-Pp^t#9%MKygMR|0%f1_9@OEtF)`q zvP^yiZ>UmA1UD}Tc1BJu-~J|V>+6=MUCCKKfX9VGN%XVX%K*s2Z}_A`t`1$$?rE;( zP~8FWfKFK`=~{3vY9IFx*q;LwMVXE**Ene07I0Q7Gb`5IOZE>j@HUpt>TWd1d~iau zl#%3fK5S&jy7TB)Z#}&Vqxkb$o^bP->)&$O2)Fq`U8Fz#JI>~!aL&tP?Tad1EQ z1}5~Bk`x}hZIa4%E@EaO(Lg}}UWT^ZH15V2>*_zEQ||fOcVD4vk3#IJeQb{E&9jH9 z>(UwY2g~%?L2JjHVYgT>Jm09t zEy$t3`0ku}>n6U!rr9R1>?-Xl8{)*&tM*P#V1P~dgu?G3=9q3&J(iw{1MV_p2u zy$k)74+x6cg*t(5H5$E%yuaEQuYG(fPkJgV(%k3e?uphRd&}!0&wV^k*^-aQ(9zt+ zmo+zUyO_OL0U+y~9%bXRl{E2hb-!!mEm%7kuChA?F%hDB3jP5To$>DhVu%)WGR(Wu zqV6}m>Ro$k98VmfoQIY#weNJ#ntzd3qTxiVO1e`U^5~AW%OWO{;D4;H&g#Ffc0%>9 zj!5#*uGbd)dIO&7i?lMePNOJc{j?lOO0gyC`!OdT%i_Nuekrn+Bj% zS{p%k>2QdLSg{Vqm1n+`UthFW|9sAlc}J^P-ei7aH!fI`zFMXY8uglV_VBE}<-Cp`zc3+*A<-SZM9tW;B@6TI_y@Pp+*~|oJcx?V10knEO2j$e7VPwqw7H3WUcx`a!to=Zh_G-oZHA4f5~VJy0_P64v)@{AwQBJ?m84Vigf5 zoaP^nIXy^3IU@PDlLMpM!(P*3gGH>X>xN@3OKEpWoMvd#np#_QVR_41n5ogZ(PK62 zdwTG`R)<3O#yp&N3(!ptqO!;`LtTCUfZ4QZQF|)Fa8{Cb_}e>M8)_MR$ZR0n>KTf} zhuK63F6jPUV1@r%n#?sII8S=c!mDVLb3ge9Et3qqSWcKziJ;8`{P0EEIEzn8^B>b> z7jgM}!cU<%T$I#{bj{}QCqHI-1|Egw!F}Qv!nE?lM_=73O4c<^-3GgjCC#ET2ILaV|Ex{JMo^fM=7em?Ah9Wfi zGXp*;^caHSn0uZtcn!0r)0m1Eb*dQa>3b!1mB4JE zUy{4w*PdMi?Zym&A;AW~ofS|}q{{TB=V397zWD@jzy9(#pL*8%cM?nTsK+j4Mt^oi zaHZhzYgAeN$g&@7hIV)E+F^dt8EMz5|9$}4COKY~=F={!S8z<0 zTKKwrV4b>m%QYNl072UnInY*Fc==I9a=wv3myH&GD0;?7t}v8K7vA4!fW8xEa~2+B zh9FFl7iCOn(hh6?;LK_H;vJxp+yH?$DMmdvto3P?AAKEFra_!MQkK@|{pO+^lpIr0 z_{Y5SF5>_NR)1p;(!|$xB`g7z3+6TMcPz`Elf%HRUAACHTnd4Dj61%!NwonFil)WJ zDl-(;WZjWJcSkYCxST!#LOb^yqObvSMt#8B7VbaTN$x<@KWa(tnexvY{Mqla%g{tY z30NZbB5rr%K*1fv7Y;f%qcY6)uW?=%mZ<@0E;nXbt&up%jPg}DgmKDG65I^8%&FJ~ zBU8TXp^L~zzuN1PcAQQ;?vm3yWJkHomX zK*3t`^?s)y+kVLFzkx@?qE5DI)4ZR?Y2Tmwy{y92(DfW2(-+nB>$1ztn)POJ`=p^6 z)c~2TaVBRYi~4L-dgQV3O1=5FH!Ft)<0Cb>4|#|FOYiTie=Y9!ebpz8WaC>m!o5PI zB((0^WbK(QJfj~7X9UW;pgb!btFyu6Bnt!cek-t__0bVf_IWMTdg3>f`6)&al64lI zYTPJC1$vzY`=~DIp{^1;CuM7CuUMe*d88lho^HRgBkSq8#3MP?)OimEw)V=oiR)VV zG=rMH9Nt{~hf-J!vHV*8~b{}5;72X)frt~9H8 z7$xQWC>|}206P0_r~6d+2>B}lE(Vp|8HfpdO?P$h9g<|zy6ZB@u-8s2omWJ(3-KR5j(Y6rNiZ) zxtaRe>yRu2Lw6;Qw_iqH^anmM{^@su4nuP5?CdCKdj#zw1pH|C2|-73hjXKpbC)L* z!zm&fziad2DRNTux`%aX#jBNGlqoI!?Y(a7Pl^6LwtBRTp{#M^<@5*Ob?vd42Y1r9 zh4F1CldyiV%6ee@C*vO?-u+D@RibdDVbJ!=f{ZUMrm}dWn2pS0Hla>jmm`U*!NrC* zy;09o19uK=G07tpfvU3sz^_)Xo$hiMvS1$bTvdxQ>uDP$-dphwS$Hfu%7IHT-F_>L z$}WwNOs05!IA&e~#!^6xby4yb4ZHHNIFAyMjN&ueF1aE$XCHY%)cLMZXvVWQe~khl zCag4|L9L7Puuq&EJVF1Ct{{)He?#c02w8g~2G>XXNvG9wj_*>*6>4++*=vW5z(#Wd z2eOT_={eYFmN&dUOataPhf@U|4asb3nbxa~9)42e=>5E+El+zM3DqM2GfK&ohUR6? zmJ7luM;P>f87RvKOc;$-(`~d~4QrY3HKpG)&C0yz#tVe5LoWcYzz=nfwIk;m?fQ74z+2dlZ8sjCl=XJp$$jQxC+j62| z2kG!?U*iMoK*59}sYHTjs@H6@^nM-Ly0QnnEer^N)$ zW|IPm*!!{>A4x2NU%`EtHT0C{m)3}@_NljUZLRuYh5;%O+&J@oHr&E4AnIZ= zSH8(Z&87KU?Lpk+A9xoUcD8G^()H%72l5{APp#CflIQJ`7v^!i0}6}*+7?w>9KB!FOAUkNZNo9}9wZ{;?edV329c;e7L_Xb{Rx-4J!@f7$or!PawXujhQ7Ifz)_pBNYQ zD>?9@2fif|RQw+EB>*=Q)fRyQk13@wFeb{F#bzU1JRa}UdcQITS`vW_|GwYTLKmjKA=bku^xK5xhW zdmjd z4f2^J`j>X~D=vyTwE~Qv!uC+ya18p?OFr3) zD!p`~`A&2ClOm}UXjlceScQ2l-%JaL4gzH-Mm2EK?fuLT*`$TE3B;9cjx0CqbV)yY zGTt2^Grr0@m;d{!qPV-*OFXj&*r@;a6=iK8fBT^+t=YEQWg_M=oB6REfb~|F+25q# z*gDm^9sDrhFv3W=`}k9};w?6Y06EhH8ZVng)Or`fXHAV1ilQ_HY_v&a)YYpCTm5=8 zzrrBLEKyB?Ix_2R(e}K{aYiiva#u-Y)p)aKmAWocje1 z$Bk~NGDkjg2RkxrlVDMUo0Vij5;ncq?rS)j4+Db3C(ZFIJ{Y&k1_1E3 z*$PU8NS7#z;Apoea65AwU+aS>ENl73C6QD7l<*Fq~V`p>K@Z$Ac zBMuLh+O{+*owX>6hqZ52qeUV>@|VxZrs%$UI3>~!4a@HEV4R!(d{a zs)?ZrvQQ9o9F**LEVxfJd=Unzq%I$l(`_U?oqu71PhcnIzIuy`(;x?slX0kJO>eRm3X|wC zgAB9Uf5Sk00)d&Sv7AZ3dj)d#HHI^}z%rI-vgifh=(B8!O7R+?LC5%QUIqu3KdaU?h?t@)`M7y|YUg z-IMP+uMI#Y&mgH;OT>>a^=f?6n@}x}&pWt%wt9fkDdZ0ck!8A2AFas+<~+|OUdcG| z)T~9SEXg7Zss_v9ke|EH+_D2@^jx0GM*!Dh3m+de9#pRjT-ypjPmi)GnP_cg=ZqvEUGtkmij0(HG6kK`8or=Kn9FNGe>;eP{`AhEwT+)8L} zYq_spa4b5heD|RiWjz&jCinqi>D!bOPj%M+dw*Fr!PH^QAzHk??L0~)U;PQ3Uq;&D z{w5@z2_T&!=E_Fk&#kgvU16k7%U2h za(~yAk^n2M>h&m>^y@HeMhOXlu1gpA;7i1q*W7*II#y3%UEe@i0t{@zs_q&$by7Xp zUN2_RJ%!fyj!duSuNUg@rO?XBm=o8a#9vPTom<_OJW3CQDJlF{G@tOw0w=;=T9G8|)w(>>M6CYw>07P9QI z^^GXsl|`#3r7TUOdi%{8cVB%;zmKz~F5_W*JxLmRhuS}kJ34c<$$R%E08^{WmQqr z>hJ$N5rY`cdKu8t%XJ<+3YO|TQbLHv5?MXqQW#06l{j)ZuccT7TbSRMKL@`WB3#Y76gIcicNi+3XA+;vm^HK zX+8l@;ifX_CfnU#4$1~xsj80J6k9SQc#B!{h$Z$a)5m2-p&LbNOZrBTfw4YBk+JDJ zEpr+W+YRyZJ0GlGo=?dkBllA&KS*)jPRj(`B=Q)WHJ&fI;RolHLwHIUa?pk%UCq9} z=Od@Z=_^j6lB*{dq$t;TTEKIy<)yQ6tT7jYfw-`qjEP$gfILD+&?jl9PX zUz61<9r&1UqxbR?I$N>3X2j~%?NQ^tJRaFgNLU&+@zzu*NGo%;ZMDp!yn85zf6N(~ z6Z{#aOSkZ+8J9oWx-BEjg986O2j6-mD%o7t8GI+{P4BlgHGe`bM4WOFZ!4`O zE*1Xg7@VnFuF+gCQKQk@RV$n;+2D_8!9#N$##3~k(_MxZ;>&lb#^$Bs>E0p=fNGH( zUFzk;@Uuw492#4EpJ~Z&LzpW_Vbx&0XO{>h>$*A@D}yZfTN+?(9sIfLUI2nl;Lr{n z&0Mg-zqFa8GtRyEB6rAP+}7i2zRAd=LvK;7k<7qd!iO{z8XWp@t7@~s^s^Z{?yp~J zJ5SuxLC6%srpS86AMVlsTi|Sf$%O8KSVXl%BecLrtS&H3DDOz4LWgO2Br`ol^nUpEGmuQVhwj59e*HQ zH2ETkjnGFA$sD5mijCTbh1?6&UBfl`yG0kZXXN&GdvX^XjtBdw&Hn3X zj#mBXQzSm~M|G9KktDcpk)yrwMe!iL)R5`u# z!|n3Yi71`&%R#oCQ1CD9Wboti~nO(nV*g`A3xts{z+rq*PH(K{J*8& z!}@h5^(?sPp4d zUbEXGc}<)?;z}cEjlbrYVX3}W@&^Ez;KKqR--?0U07!IT9$tKZW5tWgk$g1W+y@ME zz3I793DP2a?pv~@J5Gs>%mWUewi>BMnnP*y86+pBpO^p3e+QqY2~>N56d)f0m5GR+qpDmH1ZwinzU zTw0~HI&h}w;?ua_qD-;c;D__*Ze90%5D$O6B-Fw4WM~T~V^-&my+cK>*X99ypeFH& zikZd2h1BM{5rc`;tI}IwpC`ELp-Iyk!gxNE?K=odV^}MaxJ{Ge1~X8eYF##An68C+ z_{C38fEB=y9F>Yc>%&b!I60{>7yvonpv;FPh2}nvEjt@9Z;4cxts=w$vR~# zfgi%jc;SO;7P^aQONGP4c$|Zf7ij#EHVhle>9am{9C&>}Bsz5HA(o>wl#g0=Qq1z0 zzuU4nU~}}9s9B40Vb7CfLJw)IBj8sikT1oOJRD6rw3UX{Ma%Fua-eFvN(as| zwY7auuzdLX;qdPG&;CQ&t1hhz(I=(u~i;We$k9QKuC1?LD*fd%;U>JDu02 ziL}f-R_JxsD%IuL@GSCk!Jz&r=A?J8??#YDl0%^=o#n0DL9fuV&f+pa;hT{SCj#Q( z$Miq;5xa5}U`lh15Q<;2=U0NnvaAg7vWSMV9}SZTl~G&zfSMABbV$r?M@;&rWZq&` z`^}8Jv{1BIA5B-)t?hX)>1TLz*&;i>Dd0b?jk0uw#zPZ5 z8q{Cg(C==xI4r50?4XgCOT9dH_EVhN*F=8svBLNio?!nP304)9Imml0$7cWdqO`zf z0gXXc3(ziWGUBVd(k{2AtTV+>86|!Je6%mn;H^tq7rT9jaSNki$FM)yCXn{k~n*Xnug5q{GfkJ0Zx9jsbOU7dHEh!B&@CcWzK(}-1lRQ_B z9n7N?6sm_l#kB5;Yk&g?%|2b#f7N)HPS)&G7;gyY)wKxspHco>79gp_6Z(GZj3!YU9sKT$n!*HY zvY2h79)nLD$E7hfMZMMrc*nV>G`=01xecqKLcKDe{TF&$d;FbDOM5I>E539X-pqSa zc#gxzd#C=zK!fgl3}T=yE>jS5$_$3BYyZ;#WhH~{C>Um!>PBQj^y@?u=6RPxo%k-%gDh=H+Sq zENK0os>Qvp*etA)0QugkLEf4yIfJ#Q>+P?y>2xpJ>43P)G@QEEf8?)53My|ay^vT4 z%jGBv!`W7~q=(SxTasm`hwmsid-gwKeHnEZ<0Oj<1`)u4&r&k9UNzsS!$I}r0grjaq| zzJ`h1#y@X*gEgCC`4QG<&&LX~E0$jj(fkTko6iYr^&Ah<8B~PB~4GA$`lP!^c{cdhA9g zPOB;n)nhpa8%lxsL45p7>M#C7@0}K%XD)nzx)T9(#=7NTs;efY?@g05y(}#Wmdd0w zdQLM&ft}L<(JpPqoBr2amq%z`{NH!%w9@*AK)yIQ3UoU(exLdTboD(ZVi`bbVBJ6w zh0Z3=ssWd=q*ZNEQ=$)d-DxIKtzlK^@M{!1W&Gu+JLvlZr(*2O!(1g5^k)HIi_#Z0 zzADb=+jr7Up+-Lo@O{~?x4Z+ggQ{H4K6w+y`E5oicy|jgXks*bWWc}4`!sJ{z5ul$ ziJ_aJwJ&JL4k`v%Y{>hYQA7p|nXw(@6kh&k=>8_gk4y7iUTLVi44Mz;+x<7q>(675 zr)}D0C&(qG&uQ!J$N1zRj^jzfMXhFtnjPgo32@ zEdRb~V282nQ?A*+JK#fI2{=Skw3_YI5OOyf{vNf2v-EMk%iO`1$RaJT)353XJA8+- zcUp}VJ;0!V?@uLxYLJ_|WKOATmIox_9)YGy`HqcR3hmQ>GY+LUqVa^L!n0E`nGW7@ za^Ea0{0gNlk7Fy!S5Cp3cp0d$?HK-?#k&6GhO~`iAk-nbHDz@7K8w|d1L+<5J|C&c zlR910I?8I>B^JyF9SSx4prkpkZ-GUuW zjqxKP<|Zlkspn7@^HRX`i!Lj*2RH&c-owe#hDlOr#;Vx8+})&4MBd3^f%a(WUb z`DDsQ^a&xcp750%`O+u7Y9ih7y{)S=zq-M7o~FADqJ|u?sv34zn6qh_hNG|!h!-VU zS#46Uqt$cGVnX#6i27NcLKqwMB*ctcgiQ!#d{dGyoRcnYfI%#H-nGo~>b@M;TrU8d z!Doi#GY^Jdv}l!Om);4Qn08TgbmX`J`X5QLJ#QS73IBiYB))BSk3!0HI)6EOoCZle zOj2E$Gt0}XFhs(A2kSLyaOPx(Em+5*jOOZE!Tt4NaSlB9@H0tuPD=6Wl^ZUK`#f;g z=3dPEHZu``l8S9>;=<_Cgrhb({YD=WX02UYys41ckd?SaP@@&FIYW0i*NvLOv4~*? zY9>=No0X^`;Jba|IRkG5Y|({#hAMkcWr_+~O#9m^kAT`i)Y1A7!^7)q#L#uFYwupD!mQL=eOoP4_LTv+3k-z?puzjl|S%wN>+l?anX8$^R?;U|pqld*rfJd$4!^5cRm zfPmi+6+iOZ4%W@KcQO&Bfu5-9Jx+^HmRCio)G!Q)7=##}Uc$+K85xLMOi#cYTk%e9 z(^nSy$Ln{5l8Yawg#V5DSvr}U(f037!+BaV_i|Lz!ji8~m+_mZysMX;!RYkOQ6@yL zpU$GV+~e^|F0x3PVmC-B9BF;eq-|*1?B!Wj|I>^P-Jr2#K9e)_1QC3Udar>NevtvJ{PtPXPM*W=Q_Jqc zRREW6$UhCIJC*$|O3o|%&)=?qiw;|rOZ)Gf=e#)?DwHZ3zO|5$O5;_N)SM*CtL51& zf_lB2N<+jZ_LqZalJ8q=TnD`f62hv^LI+fPQ2Oh2w0mD z@;{cYGOFqK?Nic?l%rb(QIL=h0hJc%?q+m10s<1!4GPjZV03p5r8Y)~)JDhXXTSe> z-t5J;vvYRt`+MEjeSOLd%4!c@V<_L?>7_{P9`D`o;fe&2(TDMahtns0^q`{KenH9Z%5S_lCp> z1}gAqO*|a$)Pc?OJ{#aivF7)O#8Z7T;+v*A$Ljj9T5S2>UfF%Q@qqO!vFFvVmphTZ zJi%it?&?kzLv|^`x{ytyb4uo9_vhk>6m=;AEuO4|kJIr%I7^vWv8GcOIN2@IV1uhL zo_@cchEW@KqWB)TNY@F;E!ub26!u@92~_%V=TQQug)aIt*Zzle#w-_!Xfc(BmyItk z)&uv)g$7=UW;k};BZ1K@^jBHLZElR0alo!Ozt8{MXL11#=Ym#+GBPR~^|;@YL7&PTuKr6K+l#Vb{S8M@ zMvVvQU24q?MSbJ~!Zba>>IX|JRzvd36Ut$%l|dY4)_07c>IQ%Bm_65ouL@KNf92uI zCeTZCgGM6Nym?;#y9jyA*c^6dktA|=Re6CQXHdH}58~y`?!h8NIy}3aoLWp?*J+T| zsUkGE5PSO)o!OcWX%WT8|6C($LIiWLs=2tk>bauokeE8~P7-qB2f|$DL3vg80gVTZ zv{>$5-7B|XC-Gw|>DHaVnlgbL!raYt<_>ean}bkB9mp4!7q7l*HZIgJnYaYz?yp-Bn#oj=sNEB7QD<;ex=cEPlb{f~8 z6lTHe+avjW;Xl7MXg7-XvG3uO|4{&E1wRQhU%iBJM-$fx^>&(cHvYRPmJ`nC!*1fk zNY_O*FcKlWxYc+xV~Q1G$;C&`(c%D!G>m3KSX^3XQg!xK9<;C_bq(`uzjRM>+lxT;`am5BuHW z^n(PYl4V_7j(6LlC=e=9X9{Xn(OCY28LY*;uMqTQ!8*b-%m1TKc{DD&r-A3MWBPm# zrj8=24I^L112Ja-B4cU(k~!?0Mq-)tw=FqMM!iZWln=eizMle~@0RpF-#H0nVKSlS z_XA^v&C;&Oj-+lmq$MSMhO2rbua9G9cEExiw!<)a0IW;9%8|W7Iq$j_+VM27|GNyF zOG~+OaDyPw(K(%^y*fvzBiA`2rD9dOIYGKe^W>phEXS!WF1+;YURcM|x?(r3k$U%Q z&`M|wbE%MAdcO9($m&q#*FhdR!$f6Bm&Kq~NlC&GW_w%8!S2X~ppkAB)Swm>`rH2j zVp!<7TjWXFSI`>;;&T(TXnzVPSX6bUBV$rp`VK;K-QDAd@Mj}{_4ZyGG?FZW2`mh~qFadvsUK;^8Jxos z)m`HbMxXWTJT`<}La=^>Df;>1$_it7#8PPBZe=|$D7~o9?SFIFD`cduPmo|A`vQ_V z;n`pM&rdyHf&dnDr%D4axQ7+Me7er^_!r|s*{+Hv8Yu)Le3>8yjr9-qXdH>c!ZM~% zR+Rm7rhaI`kDb>T+-p&<+14cRdS$Q4Rr0H+w5(f*XA|fc-YMX}{50U9i#hB3C&C58 zgaw;U`gX3~!5+@mz2ieOny3@EnVIEXIf2zbr+BW)Qvz2`M zY;e4C?YVWaL~6=Tuej6K-4|o7X=eMo4ZW7_tG7$wr~H>7AH92<_+&{w8hon;DV}1dt5-%tnhw=Dg6c8nz)AwJ93)@u4;HW zJC0f!9|PgD1EZJ5zj?AN@+$s7wGM_q4d&YsMaN*dCipbzG6 ze>M9LmKt>??-Li>3jCxBfhg6ab5iXhcGt<_VhB+x`Nfw!k1qCGqM=R&YpLwT(o%oSZZ_uIjQr&QbYQWNJBkf0Sl^KbNY;X$r-gnrW63dOR zyTpFEimAkhCXRH1S%n)JdHU9A)jnE9VpXZIx_5(AJ7e;swUPUGh3;qI%Y`SaZ1+;R z_>Z)r-G#qMUDo-0NLxj$xUa!TE+6LrUkDgi-6`O>FF`BZErZB4{qoF0V^#3usVu7# zgH#M|EGXpeADwqnmufI^G3_U#;rludRG-@;9bD;Q$i)KqE?S22k|IYO2xxUE>{R9@ z{S<7(Uk9j1CdIeE+P&6rGCkp|FNf+=)MJLb;{43S8hbk)a$oz{bblN2c!ZR`i+(hF zJdu7FmU;Y#Hj6!06&4t%8=To!0+^|vNK;2>EXi(?_W&==``<-79vjvV^EdRmb-uR^ z3$%5TnvP?-U}XER<-kO5tOb6eu>}?i4wl7FnrPDne(VKSV!}3xpM&)p!US@vpPqAY zKjDmv44Kc=UjCFz(g;L22^{Mzz7hzf_>)6wEyap0ARLP1SWTxtOGX~x28Ka)MFMpS zpGXZyP)c!BOnsm7)`oA2kvDHET)Y?K%G1Umf%CPa;Tm4@^R%5Yx1M>ASC>r2(R4-* z8t>>mH{1M3cy`<%2a5dS_0{Ww?W^sMiFjm)>$Moh-|gv!3)z7Y)!ES#^$o9rd)|GG zLeJkF4(81DR8xVid3dZd<2eDD3kVKJDCVk!ve;!{3lo+L*{uk2eJ#qF+tE8$r0*9F ze=?ZalqgIDG)_8GVrtkNjNkS{K{y01^IsmEXr*^A7$A1H91n-IG&*IQ#HH95`c zv6+FF)4N|Wus2&$g^954TG?4)0b}yE_~oXZ9eo$_NtnbQQUBoe)%#Nn^K8dk{Rsrf3?qVcr{isB3V3#DVm*TdG>SqE zmuNU`;u^-NcY0r*kd?moA74FA_E`HZ7WBazFpLxY3CIaxtJzs02lYxS)W;{~B~`B( z)vWuEE{^XvR)Dr>`jVIO1}E?kqxq7|QbhVL?frZQ)&c1W3CmgZdJX$GI-?M@sg*Wr z{|fkBZ??z&F22cPV=H4V0ru@EpE}E2$($OJj%;uZoq0eVp|!V2Tl28xDog&q2}ser z*PVZlhR?@qRu5kDifRzSfWtV5z<^)fg84J3@L1v&hmo>&;xc{IzwFh-Q1}n&Xm^Ih zJ7Bl8b)~N%rE8ASRu~2+kxa`=CV>^Zqi0mgKa{(7%K47km8ch<>}X4`f{M;#ki^We z`L&-&t~)e>TD3C_d6+k7(^#Co4!;}(n{U>ILEE9a>p%o+F!2NLJ;T?aFJ`YU9j$=Y zfS*vQA>q%Lu74HxQGV!-=GScG;QP_UgD3v1SWp&U5N}{_)M;OS51{h9z>|yH)yH7e z3cZ%xs7nMYCls(_7En5uDBPoH!4I>5Y}SAKuOKwr^E1-XDhZS$NR#x@WhmGvy&xzLIKACh^C+N z1Wn`fC<1H+#W(@0)a@W z)9KI|S0>2y#AE#NJL?~bbu@H2z*!0m$d00PW&hxnE9~sp;&O$q3u=!fx3haG4>{hp zsHkOSAgst~CV%GuEa(9LxmvGluea(D7PYiI4s-G~)nN92EYSP?Pp#+(;LqqEj2gLa zk*+58Pu4Z4^Dxrc6rEB3`(%51w$NwM$+ts=aNu$E_ zp5G}-vi#W>?m83)4>sPjBn+}Dwx+Cxh$)6C;hYJG*YzX9&dx0Z7P|o@MBQ{<_+ibI z<3tGZ`&=|}TjEAKkkLB8lBzx)^aCZo&rPr4MuuPzCcBMRL2^w@7;AcqglRr zFiV@t<7P4-7Vg5^7ObHYsE)7F)kyw@>~b?@!*VPtT~Ebm%EM50fbh9O8mNmnSDstl z7J?CjIfL#iBKRrBSQWCHDKfnu8)hp9u4Qr@FcKTS74guoRr9LxklIMxhX?VegpJ-; z_B6Msjq4R;Lfp^ySYX3%#5zZ1NCItGK3kk%tUkrbA#RJwASR`M`(k(K!B?ZaFy|bw zB7bL7SpMC{NlGAm=~yCY^_#83i;9vW^jAVDZ+~KLzkr6Gv2gFEGcBI=Y6Xb-BF+cE z(Gce(X8rbLgVJonO0@g|?kAHDkZl$kueweSWt0^Wm{bGVpw!^#fT;GFZbmE@X0-YT zN$wetyIi+(osEn_gSBmGZ5O$?)Zqq)rW*4%uW?o!E(WUpc^CZy4_sZ{t#2WaiTjsJ z1!r~)p6qMh-QDH^Xdac~h<7{jh_NN%f$XR0YI8h4b}QKW#!QsTpCEnlzlsdH)76^v zU(sab21?(TQ>dW2j6%RnXv3c{#u765Y2@fyg5;rO9b>qQU$Zb=%4|e z7rRkG12h)w^`-vLd!?LS?zoX$^<1LgC5u%3?!2|-`Ng{1ZTW!GHSXulSabF{KsnVn zkK!QOPBZMjFF_W=P>gREw=6o`1**q+ma3CM6g8> zbz!59{R-ECA+EqfJG06(W?bGK1L8)Sw*F1xwWuQQmeY&r7xWs1Nb9@IE!en~yZ-BH z^w6~Rn^9VZq+~M1{1*Iq(6V) zcsxNeHmD~#K@zZ3rxXGA1|FwN(sh}u{{?{4YGD*9FDrvf0yO6KM;zvsB73&Sj>g~P z$@!3XUrzzTxDGo_YzdwG9c1D?W3tBL^hc)RD6*y5wD=a|q@Yw!=5pl2F@3?9u5=h3Ne^<+dl@6tb}5qYnM(VfT$a7Ew~uz08fLM=klB{}NlO z)l;}n1V{^GUEl7G{I1=7B^ID*vY+j%5#!{leuG28wYjHrQusN{5Joo^hj_ke>0Uui znu?oDzM!dFH*(|kEUF0o^x%Odmk43bWH&fA-cG<>Y((+87n@@Rx?%J3vhmgWej2-- zMRvp2?A85XQ)G)YpbY|VQ0Gj zObnvV!VAJLo06if2or1i={$=&{|xWa1UDi2d!50vu~~a!dGDp^qmb7Xu!bsXfi)&F z5rn;a|0PHbHD%OtpzM-&ofpmC^>Mfv?yzp?9`p(En0IC98+s!knc=9v*SL)wp*>K% z9{IfJvD7o_eaxfYnVY0sNQ6rL4Y4?S>Z#SE zD&?tyh%;5eKrjZ?-`FB7a_PCdRkGZ2UmC{b4M@Ezis#k*H84(b0Ct*U!!97n!O_%l zVi!II)nnHTo2cO~*G1GLH=7g8nOnJ-W+t8ywrRe~k9Qtg{r&I;mGg!U-S(r^{PY_Y z)be9Iy^6<{vZ-t=h4?sF&(}3}Cg0U#ym1Y8<#t z2R0p_^+c``E=PtLlUJKVnH2d21>duhJ@L1rw)ey`d67Q5m7c=E zMYxbPW`31v-SaC@M{1P^nH5gE%wvy-6|-;t2XOc%n*Fvfj^XvgNiLP~my1)Ax>s6? zobjfZ2X9wYz$>%|3PGR9(uh0zF-UR=Jbcf6S={Zc9)JgyMi?Y>vg#>1w~& z8IL6l8fVR>5wW=zZ$uKFUMZfKpmUBX+hCugT% zJ#)?KC_n-(nUjh0Fo{Z%{pZCN_dS$`9$0?F{$c2ghK_V(0*VPh#CHsD<{gmHh+i|v zwO8~TaokFQ)#RLuW{bwHB@`%;<4vWh zBWH1y00piML{eCfWtr+}DAMAQa#}DQ1CW8~Or*_0@Olc;% zE^NLYeEz0KZ)u%IIZeS{Y(;ZS6Tgc8;!_w#Qn}0}Rsv?Ye^#$S%s6(}B;^trH?jQJ zQ)N>8A&lJjC-@g7&Y^_YTm{;v^F4|KQG~e3eb? zj)8I+^>t1d*)BgAu=2<404^s=KNOl)c(5+-Q)- zD~e@f>jaRFFU%;>kLpP+aaALc&m%EXw=o_c|Kd~e1#kXL*q5RUv)KiLt}s6ukt2^> z$GB$Py|pW4HtqJ~;2H3v;t+vRa-7e}=~FtqmAhaZ>MS|sq#r$H`9awq>dmlWfg<~o z-NX4vQf6_;5v-w?>T&YzjJ&d9{|SuK#CAl{BFCD&J^*LEF02;xgIKhc)a-V9xI82y z{%fkFL>7H?yisEhKtq34Q6q+ulWTmcL?JX5VqU# z$JjS+Dt|k2w8}bTXAt`n0&n|IXmT&RKxwa)M4{C&JsHnl4T>zJMt}{}5UG`*ABEzyGL~#sX9OZY2&|JMQ!9i|0x`ml0SvH%6IT`h`Iz~K4 zgFhqj4FY$ng^xibRY%U3Y>v<(&*l8zjPQ>HZ9-0>FBq&0@X}BDnvH7@bmmECl>29= z`LV)i@h<*U6kF8_4ZqLxb757Raa1L5&}Lk;>D;kJz)bqyZb16q&U9MA6SS`CPX%^$ zeqjhx!oSC-$D^<8Gfo`d#=^-5bwGc=Sd!da5Oa5CQv3id`u=8k;clT>_rdzP=Becm z4F2~Rw`HkUDvsjU&IVrwq(7Y zxGRKpycHH&-Ybi;qP$ibyeU0h#1(+RaI#qvrm(nEtOpNM5;KCHwK6nTlSDO&IrJS| zYz&hoqF;lt5p%p>P7=y*aMG})T!;>ujrQ(vDs|V?z(sxZ8?dz^kkZl_Q=tESl$v%K zO^YU>KuN4fvz3P50(p8`zF&lfqymzsKy$&KIuTr+lq)eAyU1ds6v-0VU*KyZNokU{ zD}DSA&1HBOKl7m+Fs=(NL}Em2BQ>(PE8+5UPWf_its9)M4PvdK@>~@uid;j&s62Hx21qjEM#AP(d0~j`2pp^NeyHxUJE+C2de9lPkhRIH&-Q` zw@|$ixLWXAKS_5>vk;P|`sz)H8TJ-%G=FTh?Zv?55${*yuSwLSL>!OoT$diCJJ=U5 z(Q1}EsM@IrM^>&4JEnCenociKXax1M(|NFsIm7lNm)^4EEs}0|A;bMU=NMB?dY79f zjUOkCNh**oIlwojkQT3FSE-wy5Qg*ZJyy6gMt9QM;{ELvaw<>!5@uTfi@+lb=MA}P zUu{AM-%FFAHDGvCE6=AHn6H*Al0NUbA`Z3OWVYs5t%=#W39Wq4!Drhu>?dW41$P63%q{?*>O9S;b$dv#=(Va+7CTo!XFf~ zF3x@;OQXGOeIQa&*H9*JQ|MXmG->q8P_SBq7ziGp-#I4+GMwB@(pN~I*DsJD#B9#~ zjRObykGKN#CUH$J!xq@feU0zB4V`NY8kudGLPm6brxGMYc9J>4{eY&X>>O#P7P(()5bj8$Rr|nQ7-QjTzuH>d zNEa_9motYq#dXh$mJRH~4d!*+{;Ckqj==>t3Xc$6et2iYJj{`j%M2gYhmF{;!BQi3 zw4$MpnZswFa!FBq!7N0_a(6s#lA&ZLnI!kLd@oG#KTu$>qscwb=#AaLht@1Pp`93w zn7yyVEzvxTpF!t;lvs}yb10T>`lavWZ;PaFijv;lZH=b5<~j+EiXy*#_mCb^%{}`c z5oqD@#`JRB^g&=Lt|u$pIgweK)N4~jO0-vE|7-mFkh;>p>{yB2*OS0LLDnG~E4XHf z^uwk!_$Y8ky!W3Q5(I7g#jR&%WG&xk=ar66r4mgpg%f+98a+kFsyQ9M>bbVRn@-?P zs6+6EtZdb9pNBr_=R8YlHL=LBrn_%KA3L7YcG+le_LH(W{M=@#xNqafw&`oFDG6^o z{)ybuK{a)J$IRqzrjDSj1zYMd2bj)ekf%-&(QKF4zPOK18Md!Li!L%*^&+X#-W)&F zNnX^e68@@KIq6Auv}&-EM*xt&!CwN#xMF9e$E4)kLPoER#)De8->ORY2`aUEHRN~F z9WHLJ2nOt)7mmmNjs{DsI48}?y^flb7TL!>K!NqG9m)^v@ICTK`=s^pAKuC(RcFYN z9Go;C9T`sgt68;Kv##mzes`Tmw5~>&>IC*zS$K`hM;TV8M}r(`df;_Bc}PQn02&!KCEMZ8IWjpRG@WXLP*|{i z&#`^eD)Rnm+K2#5#Xn!n&a30ZENYdfx9aKoi_j$LkOv9!v7TuB7#seS>3rP%lIs;w z6*|Hd(%dwqWb8vKaRn#LtLadhWceZBB9O^F6m#=h;IpXnu_{n9on*IRpItr{4ft=7 zGvC^jzA`f|=7p{(7rAvR!sFF;!BVVe zKK=lF)Ura_S?pt~eD`ldvDG89=MZM=%a+HtyqT`eSJV0D-gigF;-9X&3?*}~yk{;d z-7J9M1SCl*Al?Fo(hb`y?yR!DZ)Bt~{~#cst2kd%I`39-G6{a2mO2`rffx3h_e#tk z?lgb9ZfG62S~Vh z&1k{AryKO393yu4(0yw{;mTF_$NOjw^hhCLkZr;5VV;WuF;-Xh<%!R{g>G2%?CPG zhJf!xSA80G)4|m4GI?wC)*93Cpq>V6(l$-*{qP@(3uO>(dW}7C$Xu%VlNHgZH_;2b zVjVhJYMX+LIPTFM)AZz?DKqUV{zB+O`k;O!)b==;mTMNXHN4=MF3Unl+*9!mhqjvP zDm8D~TN9-casevLL8QsRN@Z_Xn1 z!wa-@F>`DRhKi^s+56_c?(~{e`^=1()pDGVv+pfs1!yBV9C4rh1H8f$ajL!%x*Z4n z#|HXmY9Q#`mQM@Y!MZWVU9KVBeW-Y{TwSY`Qle?P}rIhCQr-ZKf{$UBP=acvcP^x0h-%uB|A0{=-X#?NQOLzF^7QR6>lOn#5qn*ff-X!Qs=b$I=Lm!!9xgYp9)_3|FswG) z-lP3m6z3tCl>2Qv+gAP-rDDW0Zx;@5;3iVqRHF)kS)bZOppCZ6B2Mky_TnGmZLJH{ z=`epwGu3X0gaAa3qH%BA(XSP-jV90!ZPTM9_NO{ z9?3~Zul8LVDVd7GOg$i!xER0_n7C#ju}V9$@S76U!xDQJ)4T7kasU(Y}|Ic4B-Ay?$EnONV4gWeeqt zXNoFNZZyY3fD$3_L@YM3ENZ!pPngB@c$98 zOjbIpBD=CVPITF<+GrUo-v$zkicJ~%`^FdX2JJvAS+e5%8b9d`+I1{VKcww8syuwb?vcC#f=^hq`)N zK%ybY%|qME!pD(>znkbm%qJryAJhuA?s zoLCY6&_*xqpO{CQps@eux4N-GeUuACD7F<|Z1ri|K>cs0L%k)GXuqBC2p)i(%FcTw zg&oCGPPSdSok2hRreBq@V>Q`5m4ZnpF(iLqU`T0-oEUp)Nt$xvVFbTykcRB{eAl+r;{@Q##!GZYJFb#SL8*H(6-)Ovf4Z9dGsu=$wep;rl1 zy7uxe5+W1940FBjN|3qsG6N-KY_p2Vz<-iCXp!*N#}M|t8JQ)j5N&@A&Uir-h~Sch z?;XK54?O~)K@J5z%&?S)1V#>QfYls12b+eHp=}EBG;+DR^S?*ZE$*lRj&x5@x ze^44v?y9V4vZJ9~A}jd%>S6lvB+kA$&^Er1fk@ev1nFbIf)EHztaf<5uXR>l7R`OE~y>NJSt@U{WhwCrL zLIxDaq=xuU(et!Qqu~n-K=}#befGDm#IA$~vR_AWx7{rvR?>zE_3FdhWTqwRJSVpr zIk8DG3%#p)G~f8m=zZn&e?MZ}lHY#jOsB1Vg2&n8DcAA*bDMA$h35y)q--|%(hs&} zq^@%;mPLHd4WAfKie=*uINtS8gk7b$hhh&He&~!Dcw@1;C0YCI$15gKkdsjP(zc|U}TdzLiVDyvy8#OXDdR1{}sIp&VSSLB*p1% z#ZF)|V41v*pwdhYGmH&wj%Gh@a*ig$jOJWAxfbbF3%>Vpw@l{jeGRI4+LDviqP3Fy zo%#ykP89dF@gO2eTO`q`ZAM1ibJXmh8vgMwAuCu6IV7@OR!QYmqobr#8DRJ}h{dFQ zQS)zo-bz#+v7tHZx1~41%h`B{9h z#yz{f8`_~+H2UB;t_B43%_DEFycs}0b=Qd-@hH$p$ImJ>+M)L3-*_SX)UsUESCi8m zBjNbPu43CI+M^;No-|Q59CwXHXI{Iv_>cbJ4d#j3g=J+S-0Ci_1s;lLy*RwWz zfo_MpY`o$#(HtDxr=INMvBKKZe58%0TpA5yH=fH$q(w#9!R*N^eM);(CfO=8c?%@E zoNsSOrJ4=w%=ZrzKq#~ zZP%CQu744--Yhc?S2qXdCs+cD&n|v0G>`ZcJ;%qQ^sHRyR5d8yo{MGVbPo6fZ`?G0 ziPJlhnZp^o)7HNS;o5Z0s~RMHS^7^QG>uE_cNTuKOCW`(cw>>%s&|Sc{FArb8dCJ= z+IVcwYas>%5eHatqi4Y>-k&j>(T2``=rQgv8f7{c(3cgtQ3}i--7B*O!|yN?KRsHy zy?%ZWHwB0{o%Sd!G<>c#p7F&%M-{VLUJ+$lh+Gyt99R;8FVU*yyCf}kdJTZF$QNc7DL%pOF9oAw#<)w^ z(Vv-}lvdY;gfW60o-xpCx|taV>gd}@%4Oj8{_SNF zblWZ&e<%K$JNTvFCY*#(hkL##nQ(`HBt_1oaC_HYO@LE^#F@ORGuq>)9L-;F^a@JP z?FYY_A%~;+WfGWdNz{0C_^i*Thrax+?o}Ld5uY$fN2z`T#QTB^MjL12Z+gU<%u!{J zMl$|%cf=BWSVp=}!maeBOmaiH7jp5m`62XJajX~%BUpY1P|O*(XlH;`JR7!i)al2b zMEfH2*cd-p3|Jwt#tFffl`B=ubdYGA^j{bcG>a~xz2ty{@+P)<4qz;3?N3^7bLEi0 zmDfVNz4zz$rnrArWpVb7^{I<<&TV(Gw`V|!w9H0$A#a)b$c9ANc!uLX@Q_YZH0Inn z^;aZB*pMuK;OH5qT!{PF^`V=FK2Q3UYCYKc=*=AWCBFske*Qb|d z+MpzY!HVB13Pwbg@itSd{P0+rnb(ebB7xn`%SWB|>UcTcsZDa1>G2V2M)KZsQLC1G zfws=1Vf3+Sw+)}Ur5Jn${pDT1hXN{-DDA4|m2|2#uTBW~Wt-9sE5l4$RScFdaSyyj zjfhsi7CmbqW_B+nm#MT_5AfM~OZk*9ynN;s(^x)g!$7Fs@FIV%BHG&we#sGF!!K}! z1l3%end2kUdFlz13ceP|J(i$dcxARCsqUG(;{S6cgRHmQC>*j%XTBkq6*jT>PbV9! z9VT+em5@R&!nX_l6g(;M8m2hD7T2Lh4lLG9Ew6C+m!5xd#m%1e6MKQ>bgbW@lWw?Flc8W#keN<^&Qm*+ zyZZ_}*6=49y~g`rqY?h^FWOPz(B#R~jN(s|tOds;=*dG2Qfj#Y4RJy@)$?HyWX$mX z!~$rMdj8^!I3(y1>@2-hpT`{l?)EZ^7FP;ZUGP_WHDjD%-;GD_{*GQ-`6~wm!NCYU zJRZou^g);$)l1Sl!A;yPB!M}yhdW=7TB!96Ox0u=zS@7|{m}DPOQ6`!Pn8pCt18Yl z&ZqCO50zacAmTb#x=7j{8g&{eVN*_UYW0>R=*`h*D{G~~ELMyxG^y9<(GCZr;av;- zK&nJU6Wi|PzWek_lfhwIT4d<*G@PHeE=d@B(%&ueSb|$%AvTgS_HwMhc`I{KOzI7m z`VNCNudpL`I_xK7qLJ>YF?`J1Sz7$mo$QYHAuUs6w%b^@;6zL&NFWFhR1gkCy*&>) zwS_`XM(=aS>svy;m=dj%%{0rMcb+$qOFg|mwlXCi9o~?rSvNQ=3V4;XDyXdC^C9r1 zm*pFlu2AdsnDdy^blK)PS!B2PP&X~*=cmr4VV0g4p7=QMb8u9GOoWRV>&nCHV;ycG zdNbLcxv(-p^skkkp}p3WymA{=muSXoW@kydk7IVZ@+}`AHw<*nczi<`Op*yep_c9Qb`>My{ zxjm``&R~MMW$TNu%f}HnJ5ca=B*mcFi47tE^t=GE7(djrh+cQXD8K$%$J?L-lu(KxoHc&{Q8u99|3tB!E%fcsMTz~j&ub!kGw&-aBq$!0|6>^qfqV2Jap_bQQ z&=TA8lvC+h^|6(P!3ReM_Q&`4;@xPnow58X#jP$XcSCUCj4Q$g4dm|o6bIC%kp3cb z5Q!I`onM%{N=H=$_mJW1CvJQGIbQ3kGSh&TGTEbT_$T)vAG~)%ojvUMAm!W+5PuABo*w9FTB1;vWQ7PvCPaK0{X_+ zb6(^p&L(FkHvA0TWRpMTLHna`h#4149cQXNjZR`Anct|y~ zW&&L~!xo206VL-yRE@c=#nkXFTiSsIjFQbt_dDPespkIk>8l;{ra#Ag%_ps)g@iLQ zaiNCNR`P=%&a(437~ue?#VOZ*a1>hC)-)-!YW)kJ4pSIsdA~@)YN`nk(`3Uy96@4b zck;ZROJ5J!<&`a8x$y6Nxkam|@o!48b996dU<)N&e^ydZu*C_lw0Z-Q!Oa3%&Gs6CmP^7)JxDruOBl)SeHIcBkwN)Vb;GZ8m9Aq< zk1m@hymMZrH-#8_P5aF756KGOD61;{CY!?|LG|)37OK0rzLKIWbZ{B+(8mX<$uQ~ zmhRr;!C)k1B#CeadrFOc_sv@SYyPc8`fAez$FU`tS_b|{ha4$;&k|f2gm%AsVnXpn zo|LXwewL(1&^MYvW@EE*%Zx%+(#?eh)ieQ2o5S2Frg$sAFs-$Z1LXR7W{&8*|67R-kr9NQ9 z^}Tbz`mlHYA$-MSx2FIpeC%uXQJUncT4#Bxh$!{Pqs_#){YZxi_ulknlw<&O862=Y zd|CE5;GKdk{^53h^VV_`W8BV&p@eMyCA*_86&fV505&JYJ$dTDTc}YVJP%5-nj}rW zc>Oz7#!v(Z?TJ0g3~O=Nf;7EwF}w>F$qs@$p|S+0q{bU6n(N1PbO^Rx0{r4s+G^9S znPhJ4q-iwhwkBV5rmA!+N;YTDC=^J$jBZHpD2?zE#Tl{e9KO|w70y+-Kd)k&)=?4P z?izf*F;hUn%)RNnJ6i>=(&PhePxpJz-TDI)DbHjPDQ2}9Fm8RDfqP+zo`p2#-(B|4 z_CyOqzHT+!8L@=mc8%3;08xzGuULrA+fkmWcp)F&Ged&MO1u0F%+##)bu_rIh0ro) zn}$>APr1y`nER-%Q~WWz%LJ~D*ZZ{ump}1}q+9sgJLO)-pPCJ5a;$)lg`M(vEE2i!dHAR%TlmjiCWC!$>DPUyy@5VWHM<`h(gChK27|6mb_P) zWc!5dc>%+hEd;Ny?GJMCqY)a8pe$?gKJ^o3snfq-&E9qU(IC0~LQ5SW8EFx>qd%j| zuy0#v{{JLX&0@j5sZtSR-~gZbF5tHWJ;3oUPaucTVd+k)hm{}@kQ>h!aJl@Pxz>HO zQ4`Axalm|qv|2^Nrrhug-IxWIGqXRHEEOddEJmOYJo(bnF5tlfQNW4af_GMOo0r|K zcr>e-2!e!<(dNB%Ut_yYyZv0f)R&T}K z!=npQ^86QVl&P}ePhnV@O=t1mF9Q-UOA4F>NJYYvquA$FOSG*lw?FQ2?n)%1f>I+f zSav`+&MsaVl}rBm4oHI;7ZD&zGHxP|vLOPIAIOitN*EAd&F9wi?G~AFt(l@>I+p(M z!*SPkofC)u1oLSb`TFKaH`WMd5dVGa7}h$P{2t-5UvRP$I#&3gAHvW6MP$*!nYVe-nldU{4j~gTw?BrLX<0pa}>5)q9(=JJ3OA0y;TQYZHJIB%f1Hf6debKQp zF3rQA6F&cY6Wo1;Va(Cq-zMYuDC~ju7Qs|@k@yAoT_}jTN2`WYR6bx@c<0ZxzRZON z2Kg_hRP(G{zD4c3q^UBd3}S+F-ez=hzEuR7<7?Z==71^DM;|-_;jMuHJMeUgq5yfp&eT>N4~Mj)mPm`49SR zx0o)Bj{s@xb_;w>_aU3DRzsRmNq!mef)u%SJ`bw#!78EUXbFAW-ZazIC35A22u;4T zQICQk6hMxW%#I{On9Z6krhiCfWI>brJu6P=GqXB{+|}~WSChY>i1jEWcaC=^7@0|S zAN_<%jbFDtdC?}wOk_XEkW5QCg?u23Q!z_gqFQg#4|-zjiI32>z5PBTBkGVOTvb3B z=;ZsxXlOYwDirWm>WHmSzyFIdcS#`WH8|%eg4v;8-}=mr2*ltxH}Pm{C37m-O71GY zO^>sO{};4$jh*2>i()lRirNc(F4qCQHcf%g;VO5HoRWZ#=sNl^~KQASfah~_5soq;O~lYc}; zv|n6MERXV16IFMKlsnPq*wTXYi3+K#qkjKM2o%@i-T5uDlyk|53ii0pjoK>O5<aGG9lA5SSH) zurcLvpS|R_Zc88P#+9wr5j~qw2ZKDHuR<8#(8%rAi$2J5&Ghe-bQbidP^nq6d3>aJ zHm-e;=={|8kB4<|F3F+flbtM|k@&@Xvkrh}IOlGZ1?u{oWA2)UGg|Mtx#IjCLdkIB z!b5^(9oJE6AM#=EfM@xY3gqDCmA2&SWr0|+>>aNPpZ@mB^e~4?WA2xGbY(w+FaPES zDVqtLZkmxV({=K8C*VE^HGPN##yEc%@wU$KPlZuIN~B&o`?y-=ai}!VeCC*0xqh$mKcRn~?dmt!BfgrVoT=5S?K==Kg|@+JwN1-~TD%GKj^$U~ zm|w8=)!skF2-f*B``xH>I%)k%k)h1{jyKttj~=&6PO%vw^CY)B7aX`;2YlwKqnu=z zrCXJl$@4gVHZ#WngK8Sp?uBM;E>i?6b&1z94mjGxyvNV~5%2mso?w-3IK!Ifu$KjQ zNoMg9HS%1>w12*@WJ+z#7{B5Rmiy4wi|4K&%KB`>VfK+b%ElMOiM><@oC`=7RYtC0 zBvY}LNv!D0+qjTun$W8^!SD%^W#-c*#i8g4pI%$Yy*Dx^+-Kk!kkf79?+fu)Dv7gC zd+});>m2(3Nokgy%)XLAi8RiIPnezVk%9lMU>_xsVpt#LPCr6cA8YN=hqYp#(cc0?{#mFY|2da%$nv}APgbT^ zkU_hHmiT1Yj1#oFMRU8?3945VL2K)fu)nSos@YtMRfgtqFOI#(#@!YX(U$2KZ*yX2sKn<@*-Kuv)P^5XKy^F?@P=j zTza<#SiM$3)#CP5sC9KXgRi87hB`sZ*fqA*75Q2WIY$!v`P0rpy-#{Nz*qZBrB6dH z1+Ta4OV}S02P~-6($H|uxKQuS92cC=@~+3n6T_A;`_^p|^{CX!Hpu>*M)GFr(s z0JeUE)TB=EX$-lpkW<5#?Lp^axVtD3ERZ*$q`a-3rIvboA$RwXh&Um@zX#k?5Jbp{{)!T8n8$m*izVEpB&%o7dfl}NhoeBKYv z(*3EH9gloDNORW@v{F*FpAsYV2u=%Ow9uZ#G`Mb};}>}eECEK~u|~2*RyZ*9Nc&G1 zR#WK#LpI{QmjcZr(5cQyyuV1m2-Q!?Cw-%$AD<#4LZO!UkH*V)oxW( zo;c#ahnp;lp-lbhTdukOA3N%!eJQ&P<|u+kwa1KS4X}Q1fg;6B%T2Vncb_2#1-=?| zJ3NJPPbtZ5&^WYu3oeW7Y%xOf>}1aa<=1Mj8NffKv=y1pc3L9sIJF~H-nOSLTR&Pm zq=7PWx?XdTsZ6=WQyuD{uo7dRY4x0**???T5RS6X>c}=4tDXooHyZcQzXB zX=u)NR=T0MgN-KiK6Do5Z}CY^RB!>|AM{h7o8A1|a;k0VV!V-xP`;`iD>xlCR@>Iq z%>LbJO@COYN|%(=d`yI`w58&Mj1zIo?8dA=apq%2K*pUbnR3IgKa>yZ5C8l;eE^sj zxfX7a49&lXf!rO3)fG``4DI{VF=tIrOnrN?a{C#Tl+Ouq07zc6&uP)d42RCG_GCC3 z(bT$bz0=3A++5ToJ{?H0UVqV`hO;rNY_6D`CzT~sSzgy}dHd;@$ha&Y7{mc*3ou@G zEKt@5lYCURTu}Wyq@HqT%#b+q?VA_ZQpRVmF1-&8LoZ+KVX2l3T(g5Y%~_H-c{a?B z35Js}+?-Et$W9>-Ra_@sO)uTva)AJ7c`^s!>+c+{{ zJ(6!Y8o*Unu|$@QOOPck@>C>NB}36vSe^of zM8Gy!PeVBqowxnAxE20fCmMJf)ZT5ZDoT3cBZ_=I3*9l^2`uETyW4!xnY)=C@jz>^ z_56kxcfyp1$}z_vUWZ)xk!#hAZ7eOgWoUmrNv6H`lfl(VS}h+6t+RFlnmxpL%LL_% zQ~#1iiAYkpY#Y5DvKr}B@6Hn?Ap{ZmzUkgqKcGH{m#MINamI>?=Oypow;GKC_q(nH zxRRlw;m12%z5kgMc-(YUJNSKZPYS=z=qg2HuVMC}?tTcqi367b8LQQ#&(8 zQ&p3~yv!FA7mH?8E-h(DB0Pga*p`q)BrEj?7y0kyI}Xdl&)U@uIHSrH^)>hiq+LEl zlGc9JMMv?vFcqavwNmA*$u~>_6Z1JrpLAAa!PShV$}$@qdyrossw|%X^Oq1_#fW@V zeX|?Kg{xk=_-)53-Y&2#;hI5(kIUD!TW&W{sq_UA-YS$Y8!zj0E?5=byGm4v5*Bsy zdZW_v5lnKr>MTIh4){>6MT$yfAE4=z`@B6-r3<>?pV0e&=?M-Ly9~S_Fe$e0lM?-z zodRwr%g?nP+4V1Q>;1ObC&i_i7!C^v2r$3+-*MA1B#PsE5q_BDra>S+RmTz7*9)N_ zz^|Roj6TShQhJ(DSXn$;ohZ>I@$B~;>JO91OQbq`O)9Vd#ixwOH^PHxc=gSv=^f&O zdkf$80gfYn*|pD=MTr<+6<5-anacIm=n4h9Q(t|Eb`Q1+Hk*pt_J`Lw2M|Gp!Eai-4>r;sn%NgQ_`l7_9mvlUf;(3DvZ#i> zdS{6gFRpI>dE2*d)W%vn9it_~Szay|^hMYJFsC*$bPk$RHgvEcF0-T%WPutz2-{KI z!bej;)QvSUf?!ETTi-)p(ee*3*g1lZgeLg4Qu*?+u`OonwIT6%7;vbg zc{)++nZ(_0t2?~uP=KJ?7r*ss+2LtNb>pfe0Y7{fNAB)Jg|l*e7%ZDQ$vRzF6o+l5 zPmgfkvEB9l6bs(vJhmM51^aDmZ(ufYE1_9e1cAQKlnHMX`($5>ib?ktR?^-8zH>1J zlLeE0xFuW)=r4{Fpq_AJpZ2JdHT0qT>HLf5KSD828WcX3qZ6fn_wMa0(4E{kQ51x1 z&Wda25U7~@R8y6|h9Wk=~u+5RGSji=vP>&ZD+xHF({kT;0urRLF?`!{4QTZl4t0<|lr7 zYqkWZoojDt*vy`J`KIpm6ZU3Kg0SxydWR=9&M4LC{jP1se@e$kKVTSAW!a57wGtZ2 zUqs}}va$m2M|4Al8WacB#S;ED=ohmPIRR#-`V(44YZ`z~aPM&hXuA8}q){7|k!M_! zESRQtr{8g2&_fQXeNznGgS18Wc0)--qB@sVbwS zsi5;mLi*w@i=1~KaLL^Vu6g0NtyWe0clkQKKPZvRY@6Ka(CJ8XGU0LFQ0qaEDl`}1)?Y_eKJO`cFk`R~c_U`Eau<=6kIr|ev3#2aPYTcIXkiV1Lk=Esiv z*}9yfoT|YrP+ocA#iDi&li&Pzg7#&x{3;&;e$F!;s^Htjk>5G{X-_srd0PU`VF!f+ z?h%RS_<=qW4qz7aTH}dhCZ0QH?WyCDX=EOoVXmThr}@mQbryaU94q!AFmBs$l|*cGJCFw%lbQPHH2K2<*s_%qW75` zuXa#2l3|ok{*4S0a|^g7&9jx;ebF6*+u;E3_33jpZ|1Tn2`>-U7!n#C;0fuJl2G_N zq2}t2AZCfb8Q)miW6zdl%cWjuu!Du$`!q)49g4N^oXG|l2s2lo<$|e3?Jv}V+TD-~ zS8KqtDa1lGuszS^7hUxWLzAWN27lVF7bBH!cAC(*#hReY zF5-aOO$OXk7v!D|tnRpSQd7O-YY&4--{5ImBYK~3`;|T`xK=}^w$Q9EmmO1oU2olH z)Scun4L}c3XhSC@P|gqGy}wB7E~jPyA0LbJrEQi=#){|AY3=UtL$|4?ga)t=01_d3 zgotHGU`Hj|okM{bvSU?@plk2yJ72RS-1>z$GNdeAJpxs42$}U5qU;MMPvv+XVck#*r1*&ZA z{K1q^|1aM0RfTNd==p|-Y{)K>*(BhTNF04xMC7n%Y&_;E<&t06mj|@@AYNv7(re~Z zJp$-Q9ZA&$1@f(uo#e7m$~e+3@zEP**12qLgWcEse}n(XR!Hiixq{WRHQOrj_*(*K z?cYooMdfBia&5s+8h3)vZsjKxqC};lE2li*Q>&N!pG0a*;nWO$$3mH~F=08x0fVx; z@Fiv9sG$#jZ|G`v^(5h6{Tu3FYf0Z5h*ur~OBWv_qebaz+c`&+LrUK5S=fI{mQo7> z8Zb<)MjM|$HL(M)3q@MRELQs0R2(5gaA^WXfJIr>qWH5YnT_UoKM3SUN}OC#l6zd7 zyvx4>;U@nwx}xv!=~#!K&eD9T4y87ubk$C96aDMJq9Tck`<*M#J6rsdpK^bdX-3yC zf##-gus%`@)c7cY#(zpf->LZ;hHIcgbbP!O*s+`AT1uXJR9AEyv-7>(T&#Rj_|*M_ z1&YNsveN*Yi+Y5}I?Y8po~n@=32Wi9-!2a3y#)ls2-FNZTIFag54*Kh4e~dF?i8g_ zXAEV6gbvSmvZ}YdTB#WZc<<6#%7h=IQJE!qw5!}NcWoCHiQWh1C4{m+u95iR>(gkd zpxyFGx7kuO>D6r;Omnk2=Q~v4nS8KWAHvCdqoWDlcQQpcZhZI4osK(07YP#sd}DJ$ zMT!feXBYj|Bmg+>>p6}A<*-d({ zB$oY%a7Jxsy)lsP3NT0AfiG$xpS9z>0rbhyG_8Ma4EcvhK+-HN2zEoRKhxJm2fo8b zz=TSJxzzhvj?PXtbps9-!3Slx*w44Jw9Teg7jN-?_t1hkVm9V=+uT2(I|4GK_%8kW ziRY$I*E>D9=OBd44It8_1l`^*aQl~iJ;7cnS zli1KKM7QEn+U(H*C1P0Ucl83rFkfeHOri5YF7F0@l8)Jtkr>Z_8M#cVcUGw9?`qWe z65o}p4plc)nmqT&wlIsh|2k(l(3qN5E1U7n16+cWAtlePUEk%cC%PG9UUz~nvdvOH za9E#mEp3>;Y2GksL`$Uww5g2@mMjgI$nymsjjTSfL0otY$^W?bA;1>UU0Y4tU2#?; zz5VGpr)wDd{bl&nqA~1uQvWZbGMb7>to!7cUj)AmL|7|}Ex|GED87@{vyfACsEPW6 zLyEnBi zh@j8%smw`L?vKSj38WZW3H<1tE?OvzKW}XWJH>1U(v^aTxX{HnhDY<3tEQR%V-;~xdO7kY_GHH zcERm~w)CM1R|}QnR4(aJDx4i>_tK&tJhI}2^o+gjxzw)^4o_{WAd{>GwR`( z#3g;CsU4&MZWWO&kWU4)^LpuC`={UbiXQM!N1yLimN#4NRKK$^f~lK|pJZMJ-wqlD zrSk;ZH?iBXD-58x>!3c1>u1*)<5RvZgY8|-7^gw%DCjos*c5CklC9D!I1>~ym5Wbp z*YsTrtL%?xkA+crsCdWkA_P09Od^9s5B2^Q(ilDb`8kWSQD7#DCR~(fEJLkJjAZej z%UCW}LVW4?Wqh>0KJ!y!|Z3175x?MsriCU>47; zPKifrLbTI|g7UJjJFOqLdp*`o5%lIH zyYb^;#PlI~H0uB|z{1g>Oi}WYG4-&-wwcM9Z7RZHSM)k;kv~jkQ&jP3@e+3?bVKxm zb?ly5aUE?sPAYLAm9ONq595p%rEq6ApOvXGPPkR`Taj|@=3`G4Kx2lt|9y)W0^`ac z%#7z8d8UI+6WxZw%u=5GevXI|^-4-crw_DQqyUeafAa)?$<7a|S-a61ZSF6J~ z*ZstrjA$)*6jJf(DU4Jfk=$zN8=;Dh*n_tC9N~Y6uD%ANNK0sbdep%$RPFvrD9<6< zJg0MMymuiX!_>*SwlO;CvXWLPe^Z$ouc$c{_${7POm7|zf6JvFCKs5B&2kHr{JP%* z{x6Yw=yqWL-sOrbaMqVC;b)C6Jy7)`2zepaRPlWlBUQ=TGZ}Qr4XrA!RW0)$u5xWvWhlQ*UWO zv;x0({d7YxHkXb1Nj``p9hUt&vi0$W~F!c;&dCW=xGrXspxa$~3`&R29F)%izg- z5v=#=f(N#4J3`Z|iT{gL%+HbA^mTo|$j~-IFaMG{4mXlo`pN7Z$PGQ&;|bb>1F1#O7L@e6+njYvk0wlHU{`f4pCe zldj_Ftk-Sd?>%3ba`DT7RYY!9ppy&OPcGrs#3)BTI3f)-s?l@Fo}N6{k9SAm1t1ys zvWaW6;&(ZHHr=Is=;j~l>GyB596s4NwMnU-3u0FT`(h&*ri>%RRy{bnel7z&OD2zg zhuA-jtRzdjk6${V zYg?`Q9ENkLb5U&z#3+tELs6jN*Op*YZWRNX&FwUMA!B z?(@-?8g1`Cq|o(Uup&q789cN8#xc^ARpS^FV%!??~c(_Nf^Tc=--n4^yIYx$X< z-G8^$K9({Ubol-Ea^b%A(f9~fV5iK%Tat5Mk^SK7zx^U6#bJdNUV6c)7@ho*Q4gFTMP?T*qGGRWTl&NPP8fge~|;hN&+x zALviPIq)K~_&^tocuJ~>*L@px%e5{ChWF=0Z?=5S3U7ypcc(*eVR+YNfTfpCxak6Y z&oT*+9o5*t5$*(-gLMQvwh2NXLFs%S7lqM(7Yv6{l^vq%1&`h+o=eeY@IISfaJ9dg z`U;KP?~V*C+x4x=IGSA#fOannU(7Gs+BWFoC(sv8#u z8}E8cnZ>M4Edfd}$j2EEkD`5&74^2K)^ac@Im$LdO~2I3M`R$b< zuGZ&N#hOP$?#2xXHacf%RQ)Mf z3Ys4+Us(xViIzd_$q-m9!5^?GSGcoQosj+mG=kp;ulH(x-rd{h_^|n1D9v>pM6+{P zJnW1+gk?m@?TFtOo-bJxsHJeI3H$h~-8C?f11i>Dv<201nNa6Spp+mo0<6t#mvhX) z6Bvwt_Ov&oNh_4AzPSU2FL4PlY93(x)`re0^>UADtJP}Wgr^VYy^1G!wCIs$ zDw}62OVgKdn$&dyCBNaAab>YEgOsGW7d;<5&9}S;qy4*^y>b#rg;D!evt}V}T>2Ai zRizgJ->nmee3mbXiwlGMw4;Q#`Kew?xBy+MnElKe9#qVVl`s(^64_;y8!hn6JV1wr z-ZtOho8cUeyX?;RVrfg9LtldCV6`vlg=6y3k%U-Ix-&ws3vuWZKTf$P~1)B@5E{%ke-;-+B zCbKtn(R24Oq#a}(_sz*}$vVhF7*(DhE5W5>=^c~tU!(!jK-*aJk{X>)lVP~>*oq%ItRLP)*)DYEEB#kJ(0k%! zjx*}-HzFB{VusO?X3Ow-kbFy)75&ZY#h55hN6D_C?h?0=^5jbCrS;F|o*YJ8imlg| zW?_nlwnzA?sB5){Rn3xN(+5mRx~dlhwx4qD5tSZhbu9}SS($2VSSJ+ThJ%*}@@N7+8qk2Y$HDPRA`ukOz~yp>vlgcku0!>&kx`$)cJg)jI{>*_kb2g|!;_Z_ zDi;j^YzFBcWg_=_^Tucf<2`jo6Y_q#@5dhR*I&e+J>DB2BDX=*@CXosQk~NBuLK#o zRQ35+&qwk!t3@}e)4kqR8CI>WhP5x$@@Yc!V* z^bHAICh0sMKdRq4dUtyBo$k@gww=J}q0f`7H}iIkX2uEG>D<~H>|!p59;uN%cixF# zY4jRi6_B&iiS0~~!Kavw$Q-FFCZAo!5nWq$`(NvmTjWU1D^JBNj@QG@0JIM%yI#0d zF^GaN`3fw4vt?A<`mO8(;T}z*MoU)DOpB6!+fL;zjjcq8C>ad0V^$;H_S@hVIaTV; zZ*Ht{S3WemU3j}C-XO);C7~}7Pv>m(NA0cyc`#Lg`gUI9U-iC~3Wmp@l34oWKII{$ z^B0`&%|f>;5=VP|mJIKOIegy+#R_BGoa(=Fcao4V)Cf8lW~LlrLw2%+P_|%v4y+>O zv%7d|{faHGMgOn65$(vjX$0t5`E<$5qCWZ(<7m83Gbe-9Kxydt97O9mO?Ws}@=wjU zHn}8*{aelEp~f>_G1c`3h_^;m;4(W&{0=8SvB8T_+)BbSLI~tiHRz9l!2{r<9KP2Y zBIzs1BIMy35FL;9DfFKA&W7t?f?ykO!gO)gJHv3pCUz7@uA3B`94UWa4cwya6Wzx&enj4dXpWfPWPu zcJ6W=+tgmj*d%*>oq7*yGewK@hibkl+fF#WBSpO!xri16v?hV+i7bTHXki8(evVVu z9Dt**mR|+O!LcQ!+JMu*m!VY+QK$NpULy1 zH}HvbyYh$4Z|l0Iji+v5eNp>xp|;Wbx8t^*u|2=;#CzMtH|*f^H(ZSLR4V+hV_h1> zb5a)d()23ySs-<3O@Tk~W`>1ES(@s#U7>~sp_;+oP8p*Jv9=Sf{6N3S)gS#f+oxIH zV@@c`DqSrgdpT-vL;ymABab_+pwov88ZFpSRT;OF2@<9$^` za36K|yRkIB`|BMbT4+LIAh#&q=KS|m`zt9MtK7~?2*aYH>Ee@z)@dYB7n@BLlcv$7 zdxgGo=y6JL;}#F-L|QF4El}tuWwWW$B4JRjZztw}z{t+rhb2t=BTeYpbgaR%;N(F5 z>nPcxV=pTI2b`3_wUIM@ZWmKyPcPiRF7aA%+Ahmp{%N9}z9TqZ3ii@N9c006;%Yx$ zhKXzk%&=O&9dZfUHV%7%YG%a`jJlx*_&URILgrRIF>Q&liMQIxaib6gr#(8F8J2Qu zp++X?2e;1ZFT1}(bKr%NZ`UP6--vASsoy;`W}oI^ovTxmcpfmmS!&v)xT^ zvcRJ_X!AbOvR zhk*VATMB_Lm0*S)9&#ok*tJ!ReZTi{Kw@f zSN4FhAMbOEWbLo^(2%bh_=o)Eao-hrwO?-5P_NstG#GVyn{VB=Uj;eR7}ucs_EH2j zsR%%Bm(^_$_V=Vr8&=**^i`@U*_Dsf^Usz)Fvb*SqRueRU zPXWe|)egl5z1feV$(?uB!xpg{g96MGZz`GAKcs3xmQst@$WZV13ou!sD7Pv2wauV6 z4u6rN4Gb2(?bu49 zqdKljrH?mZ!Qa@J&DgEX&v}9aKg|;6SSSJrui9tG;;tVC$1XAirw(a;UbX;!Fjv|% z_NX|ay*V}sl#4gUQ!4rnw;za_6uZAK!;}Fgnb7%EjHW7!bc7&sj$aCYo_FqMVXo{P zj12%UtuvXr#QF^@h?e2s%|y$9ePV|0wKgN%lu9@;=1}b@>Im&{t{8a=`7}SE{J=Az z$EDMP2O^cIGGA{*~qXyn?k%0Gwr;|oESDextRqr7oqqAc)i4a^&!3Z z@ZAunzfiDmZmI8`Q~4y(hasr>1Lw|@3i@Z4%q*q)K+JUGmhpi zb2fV%#&c|w7KwYO5YAX_$*Un5R+(i;W|L4{`NE$ovnCY}p2am4%}i9W4ci23 zT*peJzZ+h{BZQM@dOMtT9caR9Uwc)bUsNn&C__ca})R6@3)iw<){!W~=?0^PD zNTa;wSjthcHyZg+IQIq|*0PC5^$Bm+(HA2ie~9Q`RdEu6l>55OFTgSpiUI<`>K_TGY~k8hzvC+`1t`zfAm37 zh8$pk4bF-P&~9=m(17IyW&K-N6QNN`AK$CCYPk+m+T5GH#7j?ITxvsH;mCj%;cLyE?e6$Ckl>Jtwa|T zvLW*utB5G5EZ>M%U!{rX6)n~`5y5O8I<(7$cnC*@QG?6AxaXBo)W1?=2Smj-AA-Ch z(q?_%7R!#mA`}_;SN>1u@+oeV@FmTn9Bz^SDpeitht-_F$h$uuq9=joI(goj$k21v zO!)c>=d82@YG&*vB}?L$=AXMX+;U#-JNP2bK=a*$o-a_P`I_O7^G@Zn{d?HENg8_arM|)jIik- zzNuYdR7>*|Cn4Q{ZO>Lf+92uPogfWA-Qy{Qs*<7?kq+N2<;!j#{(Mu?xIkaNEmht; zT7QC0J8j3?0_C~!SQT2nBM*1Z2fkleb0)qziGX%_bmRZ>g;`Lrz#tv?Hp+)oq6p;B zPpgKle)-)8Lb<9V3HzO2{5)X?vZ6j{_m;Q&v%7ZFQ&;Wrc3bY3xcC?O(ffbi=8AN| zlciBg5Jb*W6tox!&#IUOFWdoFnKf8OI4WtK{;jdqu6PTpcwy%i9>+a`ebH-5U5$P| z{;mnSZgoN-dz_W zC+tt$U4KLbn|Xl&5i^0iq=;IyEU9)0UlH%DG->mSo_C^>jy`Ai33a*^w%Z|Cf%;X6 z*S$Vxl~d6W&z~yK`$Sha)HnDKYBoSGOsE#a0!=TLkG!hp_Jh%2l;lF_!RF}z-AC>Xz!&$CC_d^a$wlMBtkjJL*>bq(xbJ}GP?#DRmO9w65>80A!CW<$~&)Vfq z-?RvQ3w|?%Mw_DWc8+#A+h~OO?d3G_VatE3&A+1H@{F282+41aWdF8uSWSUl=MY7- zmL@NAgk|T)8Xn5;4pFR~=F&gY-%rv`@9HVGP&SHQ74h2Le>Rr0Nr}xG%3TyJ>vC+6 zzz*La;TMYAQm?hj&Uq#yYV*52w>E@YKNN3B$j2Y|;&G$zxa7?F!Fbi{(qYUZJG`T>*GN(&PqbsixGK7(tzL8W^Bgi z)#h4D*|o0SQh;__SU}sA2~+LAD~>*#slvR{o%4B&G6hRu*wy*y!T{57!5_dl))Q@! zI6F|2-d%+{-qud&f74rXMz-`D1k^Y7A-lFiX_%YW{mX+H?&G%8+Pk>syo@2wVPkjd z#T!y475Izg>9y{F5gZVh7qG}Hq#dcVM@*;xrQBZs*r}{y=W$o_vE@B|!it2W>c!5v zxz4$Y0_2WBCM;Ow@#lxvQ3x=~`wXx)v}Z?mKsGd}w(11(;t>GntYSJJ4b z-^PW-n46vArhsNJQQUm7w?9t*k7wAs75{`)t;#~$t1XQ;6H7yLJJ>&q*ISN`En z*kEiZz!#1{bY~=Buu<46wmyS@CgH9o2rX-iR9)i+Ou4Uws93JPv91~Rp?T|XM~lt& zP4D|JK6gI8{5)b^FXkx`99!8~6&}YQ;Yx~r)Ew7HWSd=x;QmvMKjz|B^5!mj?>XbT zy?`>4@d;M7Fr;(qgX9C%UD3=|=PVBwN~NPt$&@=in0mfp-s&Qkz(Zi0#jR~F62)e7 z*UZh_wplnUxMX*RqW<%SJnc59^?MHYpJ%u~ZiVO`-G8d5p$ML>YVv0FYC-nzmX2#v z5lm+Xh5XztyL&Es_<56awhq4oIauzm{cv9#5}40eWI#`T7o+0gSQT=CmMpTMe}vOn z+b|w_7yuY=lnHbi%iLfh z?~I4AzP_?Dov6gaKEkjG>Ed!oLl=r_JE+hB?GuE<@5!XsFZw?xFRe|}N|jCPI(d&( zhZ1EvTI!K#W=Leb69$TYRn>>cFRxsf_5S(zJZh@cc53f|nOQr@=Je=k>}KsT7{WW<IrQpx}2stJUH#(|y~!p8WPBYd&LP>zez5>vQ{8@9N;wwuQ>KF2y1Y8~jqT z-#hYei$3Sm6qpORNr#fT<;9y8zmBFkT6u}TPl<1Yo}l_}##;l8_WT$HuRd7ODO`Nt z5OC*7ny=22aMGgtO!ZDBUL6}BQu0@JNd4iL?wP(tWdo{QQ6L{t=?c#l8T8qKhm+Ie zdVyUHKTOa$TGh4)<(Oapw^)_*ZW7%mssRaWBeYfjh?Sw=cENo;Jfpx?{?I!TAq1$m zQV+^`)7B|?Ncr1~xUMvd4Ri?X9!{gapG%+Ow_Snwl_g1Jy_K=vvu(RN`>mgSII7rl z9x%7~qZYL&$?jL)eE^!mJZ~4FP{~MpZiiYLs!_roe7asE+r)Y+>Y{} zT`j0tX#{; z%S?{FmHd|pnO#b_<0j&%=IwVd8(Ri(E_kF(qC@vsE4kfa&1I1}>c|Ore_`=by8e)5&X3j6EDiq$ zqgM-7J2K%f{4%VVd4&DY$Z@z$qXW7t3qBo!-^XKWaRb0JU(ar{chful>@(mBGeA^P zO5t9l$?-}SfWb)F!r{VUa9PfPC`7AgTZes;sLSOB=#_1-Tbkp0abC)f;&7fBzcz+9 zgp8kko+_V)Mux8Il{n{4w&uNuRAFjh3$?H|%LxC;+VPZ+j-8L^#xC>&orZ16?l-;9 zY%12pnpsHGl&wsuHD_5HsXtkd-e-`JKwh<4r=u$hOM`-aE%tYns#`Q)?^^iMJ8yoQ z>3sU(GS=^cm`__%DBTukuChobHTb#t#ep-)Ecw*p@zVOzc~7Pr_7o4);{4sQZgK_Q zDsUsrOYe%dapvNYq|T$iO&b198^=o=%8>l`qXd9 z)XE$GPA?`PdAdQulBn1Do$wpX|8f3~Oxxh1OI)ZtJ*6yIhO)7CUW}5pT9j3P(2{X~ zqQK-k%tXDV(?I??Rw%dcs&|ILB4XHc%6SE3Sr`6q?b|5?V1n4`Q;dv0L_L!OXA|#_ z%o;{Z=e(0|eRM_c_2)>eB1sh$+t+f2t+V&uZ;Qs?mv{qQokB;D1r0t?@>&H$0f7lU z$uF<1K2XJ{Jy9P^%`~^RjD@w{Ok_F9b};HwQpNIoNL7JIPq0tBX&6WUmD8u9lDY{f zWEirxByOfC`h3(TWmM&>eW*x!#RPtoXKr3@^TN-_Oos89tEsbWL9*AvPlImBy1(pe z?Wkijt4-N)kpl_4;&i@s^&6n{Hm1_}Hon;lbA-uiSYA1|d9|v|n;XA#U|PqsvK>na z!X%oeQkAVxB8;&4!SaHP+KWQ%$xj~|m1%b-?0>#kxCqHjJE2$UaeJ~d8ijNv%iOO=4-u5n2kU8{GCnc~S3OCe4gR1PmRfIJWjXI{T^Sq24xg6d@GB}eaRUI_;{6L1WlgWH@Z?FxxKzp2EP5{>HI! z$6wmzK+$XJfbM#A@Imw6VBeU+$eUl&&u8g=MzHZDfZbvn_ z2Lb=nh@b@vO zl|56(=orT^vdqF54$ZM!mM|1*e`6yTX=Os5b^4_ZEfL@(jL;6)sLjNB%q>uZpowVe z$Dft=e4GPj;BDoW(U3uH_kD)CEJUs{yKLwAf5+BWi_@{W~}c&Q?*S->tyPYk!R{uQ!o4MXu9Xv(BppA{OBEZ#v@v6 z(!8^xcmL%o65}4A39$cSOF2_cFOJvozU1){k(5;N3<3r5O7h0hsHdvg zAqBTQYQ2R++zTeJ8G+{}D3iOo&jpAPFX$PKT%%Pc#!)8+VU96!PzO3aw{ZWGE^hQ!jNM&}b6R zGwKM^G2W+iu1NkcsiK}XF1Mxf2_;-tRh8A&B3`SJ(CG)R%l&4E||?j7|RvRT|hwmrqakx`3*Bw<%12zU(oyMz;FZZ#kIgAIEP+#_~Mg% zs?9MI=>bD6^)s`_fcdZ9-7%>kGVSZmF=YLPfmmr{u3k4qY4mfHH(q~0DsV5R1!S6E zuxT%`5y1exHlY%v7iN{U zMS`uFQ&tv_=J3btB0Hf`D9!ioBg`j(T9*O$3;gT!jNe-f!SRTUzoR$*2hl(-zYzUC z1Qt1{u*#5s4$=1V&*eugx-Fo58cX2oL6l$e6bIZy@(a0E@)!r)7*}Z8DSykiL{?=( z1nwcy-{QDjxW55?Z&Jj8_4q% zxTGD~(s7HY$h|1$>1k~%8R5R-J@w!^w(|zr-sWD$-f@vJryyRxTV&LQ z>^XvY1DA&+4cT^lPc0+!ET{kSr&PyplN&{Vj_=8_2t&h(3_G&t+9AV^%(^1Gjv!xa ztzBf-t+o7Grc-h+W#+kq+$pXtNWZ-fem+xU*>Y`Tqh;CcmJQx&S^t}D8+^TG$s2w@ zGThANgUq854dLZvS}D^*+nLqZQmgrvpa_ANJR!ra5whIU%!$k(FAo7dHtl-NHd{4Y zZ|5$5iI;Qe9*38DoY8b1aC*&|)9@SLa8bP7s2J-!9Hlke8McaPqyxTj*6_d04qX*f zFC%SqUJ>D0ZNGP?&Nsq*ATjd6!iY?_^WN$Fs8{ONt~#Hb7?LC-m-F!Cmpt1G99S}L zRF`7o6KQ;_FC!3U1VX&8sL)Tyo?pB!1gE-#mL2!jyq!B?itC`-C<3i0P*IFCU|e1< zp*RG2eH#L2D&~d2AdpsY_GC~7RE8AG!y#(P;>c}tJoxL|&>-N^#4ePXv1&mr_ zTMFb)VSCj_i?FBc$F_2g2AkOM*bXmKe@FRMXAyk_eGL6hiTMNhQQM0b?1Kl38dO+i zpcCjmMBk1cK=9#J{`n$;@}8A629d8wy^%p=5uaWpA5=a*@=CkO?>vv~jKRGo!8u$9 zaSgut`34_tS7Q0G6q#;PDimo_;pTzZfTElzDFQF! zGEK>s3F@pFq?7HWdQvy)O0bQrHU{e$OZIVW(L3^(FEZd5U5poXp$^LmWRm(&FY2Ly z&Z|0gb!>EC@S8VJ@SGqG*Ki-&2A)Hc!I^o=I(4B;@JPWS)n%T~oi)%U>VQ)q8$}z6 zNAm#BfT!?L{DjyK58>ssAnME7m3q+ev*lcf>!2$Mx}~|D9CX9C*&coT#6JGn9sA(N zpVn=Ko@-L{jjw`}mWrVZb! zTe?Y*!Fe7skFfJDC%&myGi$JVXD7AVT4uG@IMC^vbl}(Z{Q564+{h{_M~bbvv#%Z&&_O*yImO-VYjn_VB5g2 zagKQ#AiwKYt$5$=?Ow2lmLV*6ejvk{%g0f#WBVuTc9gZPUvvJu-45AgYQQrfm?AGz z*k=B}K@p8r*4stF?ZU17cHD&(baSO%a$pL=`Tjr3LclF`J)o`$f$~b#-dew5U%z?V zHW@%ReK6T*23t$tioL`Z(?7>AKtr=p*DSmY6?~p}76w z3Bc!o=wnJ;9cX_Ai)ed%u6W$EO#1yQ#C9wAGG0gdiO3#x#}>$^hh!V@BPE-(8FukB z+X-?a`x0p?qYyX|Xf5SK)(~m_JI(JOxtX zSfNp3(XxRu(?Mf^WXv#fC^^QA&F59VC2KU=n^`rK6zwfS1*2krCHnUZ7p1!!b|MWq8W5n5WX;IB0&6GR~7H zVX=WM4?!yeZDh9*Tw|exJHNgkvfMuV^}X=@w&xFCgmVaN6&YhQER#1&5x`NO%+<0++?%YfgTKpy4iJ}el)_v7Gm*cQaX z4*VUq?YfONo0h-PvgDnX4Zq&D;hPQ1*2qvpHr&P&a2xTPviTz$BWt!;K!FeYdOzX& zDy*iNwal`n*RAgMq!t1jUj$v)IJFxUyV0)NTC3vM`+fo`7wAU3Bz{@V>ejGkrR{ua z*>Tda7lXQO4_da}U-xa>scO5!k##cyE#r&N0g7Jt3bw2MEdPVB)i59Uy{;zU214M| z%RrEf-#qs`&qgAKqujcqEKI9CavmL~Yj&Ki*@;s>?|6OI{LGFMF9fLdS>gRc1x9xK z86CfW+n>|4gmS{y^V|yf`7F>80&M;})RJ$iv9N;Eg`%dwFRl7LYb^Xx%bk~Q7yaf% zNN+lj*J35pVqpb-!}SyIM|WL+x83eOO$N5_?V7nhY4FBCQ~f2tF46Zw3W{j(hn>cD zL+X#AxPQi;b6kNsuIE1SfO8Qs@BXjE?_*LPuEGx~F&*N?BJ1cZft+FUuzmQP(*kac zDdLyE@<%z3^EIxN%ud=)`McP{*mi3Ciro}V+D<68onRUCLwyEirft=~lzP27sJNgn zg_V#pLh~*%LeEmjd>aXY$56;vK+6<>k|DzgVU#pThh(@=bW&KEH?BcC%DxOnY7*2J zf`8lF+u_a0yYIeh@4WL)sMoRrnPkas>P2UzPE5{!?DVU{iXC~ii#kemk`VWU*ngGa zyJPSO8RTsaM0qI3GU*r{J$0a+;S+=&DO+?F(0yaQMXv#EB_4{Wk_qUnI?O%EnqvzO zxSxWuY-foer#_hF8*F5-ZQXxi&jW3T?aq@u+w=VgJ4fTJF&_elpw;X_@QZ9Srgk#r zGX$<`E`RsdCsSXNp+WVbmHNc8%&tBGyYQroO&UeCna z_1Hz@$j?06{i{aXuiG$Nvqwh_dvx5euFDH6-3Ix&D7;xikS#$FM>wTkF7K=OcA%3# z`1}a0;@fkqsM|1B)E)ZYL*z7^Fa<$~E0+5C8P}vh_)WP5bux4f|)e-?9JK zn_su@-+aT*b(siyS@@+f$vzZ%_|@Mr#lYsqq&}Ig`fc@#*Xft(#g7KS5d9rfq3}ye z%pb^@+Ft%VAUg)X16e6?bwDTZ&msITcmOY?%gZ*7nk8a;ry!WN@$dLNNZ0C^{*I3e zvW;K$N8|qJx?jj%6zY3sV$R%Z^ER;=kxsLK&6tpdM zpxxy}z#9cbX94a_d!f7V6Tb3H+KYBWzDYq>AeQ~K;dykJ`=Kv9i|e3R&SnZX1i9uJ@1UKSc1h5SOfyz0ZM0h-jAoQo=RUiKF+pt zVntJ}YT9+5?dW#Hj^A$B$xXA~O)o>ufX9SBE+-NlIcC%&8n)A9snfu-na}>S_(7qLK zXr?z0MoewJc$S@WB}`Er<}OQl#kv`pZEb5;nZDZb=kWcVc1`Y-+K8WzXN@jjiukCf5s2f zlq&4I28!5V&X4_F*>ll#L46!VIU)K8+F(}wU5S?ixuD&V75E@ILFS-k@}E`#=!9N| zqVLjw^z^)b*s4MHiguuF@FnFN(?+q~WUQvK0LLZA$hT}KV<6c~ZP|zYlBvvKpCYe+qgx?UI%VcLn-DwZ_O=qT#jSh|Lx$Zh;nYt+GMj0s= zJW`#O1@Yj6-|!0FP$xRi^Fnrxdx@tIZH3bT&$ur<6<>K4Jf;0E%2W6d2i@QS_25~v zvI_*T4tI`2Cfk!c&%>&u4?lVmf@}xd#q?38obs)+cE<-0e4i|Q^UQ5;SP>N2z=`vl zU9d0Uda}#7@7kt2d^b8_3a7Kp>&|MR#gtNlSM$iQ3w7J@LHefaVT&oGuE+j-M*K`2 z?GrQ`xWmXI4Bi&!3G{_2t6sOTxWc;2gg+y{(X`}N%ZBf?EP301->g~I_6B4QC7Erb zB5*RoJo>iPtk`C!W;Zsxjn-TiT1lAhSRb{mnsvN=8rC1O!eeFwm(eWZ0|`%j&#meA zUhkyVZn->F`j+@VKXZK6%i%S!nl+eA>dMu&Y}oc^c6@Ksi&wK=p4xHl&bM!8iSQjd z=fe%BYSnewhEC@X6rLB7Fxo>A7eSyEeMQw^;+$cP!m@bM> zGxEQt^T*F3Y~|N<>^NPs{j_Pj$;giU^ova6od(KP6wdz_Vu0Q%buZJn8wmOyPPz#E zLT>A2&BJ01#ougxAM7j+g!8>T1m6I1-mWplx#sur>wOSz5k2+wS7^o9q!Mw%QYXp=EeqlfT|_;o&qW3y=rH`IUEn2|ZEVqL?oEfx+b?*kAgW~H zGCZXYanMb2Mjg2SEO5NvwHM=n+r9T5*=N7}+<$L<`Mowjr`c+ZSKMS#0C%L?4Qn*L zeoXxw%PrkN2u7W=JK$QreO9a2!XgP9Z@6CETDQ#GI|RGP5F28gBlYTXC)H{B6^qhrY%E$hG8vf*1z z|6Q|m!%wU^e~o}!@h!HI{~f;T=Krm?Yxd@iy4}9v^3?J{b$v+gk2UgjtEKDK8&vGb z%i2foaZ<;R2L!GfPF^i*wFg#j_ACn-V`tCUqFe;rn%1#AZF_rkY%pwl+qwO&jjTUP zte3m9e8Fj#r=jlcaKq*7mQ$rdiCq``S@Q-Vt+0SXmG7(-0k^P#g8w^fo1G1#5I7<; zv7hr?Z{w=>ixt-?CSN+Aejjkd^{!I4Zq~Nlq+>6JOnr4e_&sJ;Iz$f|`TxRAT|QZK zBkac(73W+C6>mkSJau_b@Bu0zw#TD>58*kSU&u9!Dll)FIAAaZe$l{nvo}m_&28hm z>l@aZ@GB@UP(P+VTDBDXjm_3eFcJGWM|PY(09&knl0IF1JAcz3&_~FJiwBHx8G!zt z1$Yk6qipK$D7OZ^CFT$KO#8!o_yGZU047(3iKvaJWjLJ6!!diOUE?Cx*xhiRpcK6z?8k9Y0(pc?{C41B})&cdM8+f}4C z9&aInOa#!rTnW?%wglnlJj2JBQhc*HvqMC z&qi{@eK;I$!yzfkB$*_VMw33sOn>S7MRrXlk`l=~mqX)l$myBh_pW{E+OXul#QXd_ z(oxZ9R26_qpa3+y+ba^85odEhevUuk=Ny)DR?MlMRm7P)DoT?&yAz|&MAlUicFQO` zKrLAJ?w0F0%rjoDwkC{zy66{~0~7d-NIQTx2NIY00yI(=4p{I*7M53{|8|+bRX3KU z!kN-c^o(_KTdXy0eyOnem6pw4Z`tB%(~@;L^&KMXWCNB_ZnQTax$1xE5`dXmyQ6DU zqI&k`_2Vrs&hL}t=nY6yzphEM7gmi+Kb5Hol@m1TUO3m z%B!&HxRCzCxeZz7HOEskE!Fy@<88)-7SRKG& zbEMlop%qs5i_z(l~^yLZn)8x9+Q`TaZ) zdtTkWd-vSb4H*;hgv^k6fGp7`VsJ;+A>X>p`5rz^69D?x!-o%DXNkrmdMgG@%70df zL3r<=jGbVQH6{cHA!HcOk`B!0kQ?nmyTG&&Oy3TC zn*+P^>F0L$)BAo%!u=Z$?BT7)w*7cV-1j}(s(LIPhh=rJVE}i&|Jj_0l5~B^@f%TH ze&Q&=*b)%)XP1BpCy{2EY#?p52P^~V0#M^n1D3sx`V)^Z^FHNy)XK2u3gE!iZ-Qzf zs7r%LHb6CiH$SOVWuQ!ymlH_=*+^$jn#<3WEnT+5u6!fWWtnz~-;^flvYGvGI$4~;)%VMeCG(aI#;Ntk%6pcn zO{%50S!-+!@jTHad7(-3iXz=;TI$`@uzs~j>}rd$PHntUA1td4%8!#8NyB=Lp7Uri zwXIp-`t#B9*W)1$jcBKtb<{7`vW0kR-NwkWWYd|$DwcPm5xQ=8gxjrAW}isJ~k(2`AD`N&m~fnbTsb zdg}hUo*T~^HWABWc)MNAJNAcHzhU1O|H`Gy_APam*EByo3Ppd8u^bL(F0OTk+z!?F zdEdnt65|NtMqKM0w#MzvbBJ*%oYVNs_`vvm(DCkqUXIX%092V9!pQABtynorg#Y#6 z!2>@SjK093bnKgqOz3wPbbN%3qd&wIn~6MP;X(H-^oTx_tNim?Eratx}3VFaW0S<8NAV4qn2Kmw! z$P>MdC8eZ8A4aAzp|1DgRmzldWAnH|q)qA@@)}Wr}CuASK?MXFTqCLM}9=Lc|@L` zX|p`EC*Hjhp-04CM7;4?btY<0X||PqQ`ecwI8>d6ord*$4cqCZHti&~5a+#2Y3SK@ z)23G1U?H6aHd(5Ws^MT?v%RpqJGHDmv&KR?Jnu;_8n!u_*^|-OrYiiiM&b3MVXrIS ztIF3JBj3+$u>?S0M43r0<+^3Fb=w>??7Cq3Fkh%o%$wf79C%BQo~u{IRbA=m zI$x-Ugm+R&e)Jpm5ckVA!`wexq<%UsfbXQ#{Hj!H)6!3fy`;I-RA3((M2gfMPq3`yRpe z=czi+Z426(=s9Gvj5H(SY&V)NzF%HF8m)G(x6{(3`Z8As>4>aTztrCz zU5D+ZTol0;dXbH+*^q7~fKk#5*OcR-N^KI4 zbmKJ9LOfZ_tUs3xSsZ_aT~ND`Td&a+C)QOPcf>_H7Ec_E+?idn?b(Jso~HIl{TtBj zxQV^pvUw&Znt-TOeV0|sZYK*M<3q|tw-fDF&ebP~TqELb*06b&*g~xAzD(RNb!RWQ ziTc50l-o@Dy3oyen%Os-J^M!9v){S;x_$p^-?ZPl`kHl{a=2xu+1v2Ah_L~?!#DxQ zyl?L{?hC5yjO<748XR+l`rpCK9qWISKI2u4U5r_b4@9~#R$b8X6Y^!8X6}SMkTtT2 z7j&=6NBOD}eSj!8m_ER%lM(3#U(m@CeFFaire8334!E;rcC*fPBAvQ@tY1UM zdw&bwYeVCicn-q1`;0E&<;iDk0dO)Mjv;oF}PDA-n zY?PMoQOvr79*94@w}V3$pxf!EF#gCHV}@blZ)A#mhwo5N9-h1sk|JPHqJoaB}7uF~wH!-J?4wWbQhwMCQ{ZplZUG@u~_FVa1^=njz zFOW8Sz-40gWSdOn{7&YU7P9d@O^n)^Z8zr5gH*C;ENsq6q*q(cBb(b3=_%kD2S?No zLCBTIm9^ZtD3oWeu_h_)@nB|;26NxTjr(Vk@$=}lwbFj!^1?3nW;QGbHdqXZEn5Ei zl&B-XN>b*Q&ep9VW;yBRXkk0!g-z$BGl1Lcy{4_T65Hm#a@#aDUZ%1d>SeiI%A3~B ziG$ivy~WA}s$M{Ysn^)vm_hXU&uzy2fp9kp-IK&B+}VPll@`l z;M-I(pEfy6WO+}WsHT_`PiKSbnc2KyGqqJ|4eMBLZOQC=mtMC&e(hWKyRUuSzP8qN zrmV+BPwmlD`?Ys&%-?YjpW&EG?8l5nLD;F7O9aO_#FhKQS%P_%@qu~B1?YA%gbbK7 zzl5~M6@40C1)vRZ z>;3oNw>RH>(?~^~!tPgoG1g{A2sS|M&me8*jYfHVlsXav#qF0RGl*{g(ay@BhC2`mg`G z|8^GX%q=fH2_m1EP}K9Kv!X!tj&j^Y-qGPHPdNDD+|%i~hcX3lfkFp(f#Rb0`x$2My^4O;=`7a`d4@r!{2^}u5$Xj|7mN}0;>`py53mYdI12+kx=g*OBV`YL4L&PW zACN<4$R=bG#C>&{hFoF351H~Da-~1>_ese#Y)se`n7pxjlw&Wsp3YRK$;<{@LtifX z;N~N{{_bu2?46r-?d@B3?VVc=!f|RT%S7kXxr1{nAth6lQ&-Yd`*=Hfl*zKK+(Axk zJeXR4dt}3%vF|k(3;-Am5a`ix;@CURS!u_9YZ2Y%HCWo!I1RPI^3-N-sjeweY2w+G zQ&A;vG0REeD&mf`l`he0aQ%DoBM;;aptwvMAkWhlTaNQDnNdwbv^tqBIt?2Zi49wt zbn03*RjyWQ&9&U}Zf4_>Xtjy;Cmd|>MHys`)HZa_<(~8{PklKZXIgBHXSS&i6Uz0) zM|O!KaDYOtG`g+1So&W~Y+4dY_r)ceKuiubm8!!+ePdo&Iq67;y4D{7x=}{Sg?85c zMBlBq8`e>s#-_1P{1hr&4YeDYZAflwYSS{|#L}^HI0C41NRm{I0~BED1mFhPMugpJ zYxsPkr2(;6I+<{Sfwdd}RNOrN+XnJ(n%nz7A zr;b2UR5zg#Z9?ZEl1+NM@Gs$~7pM3d*1d^38@2={+HJa++i*TJ^+?N+rtaa8h8D|K zl?Qgh=Uyb?d8~#!%_U>+V8)Jc=&;o>p7J@ykoq_RSGKd7U)GuLg5q<0A7ex?V+9;# z;2QVV(}BqIf>uMcE$z=7iuMj&2)Xn5f=-T*0rPX1_6MlI2fNVuS3}4HUkRo!gk9ts zb}IS|e?QB9!eK+XH=YX$I|ql|+mGt^U_rvv-~1dB3} z@5|~F?Q#A3b^G9h4}2->&6_tpm?LaCWy3F_e7r;fJf;nvl{fXle<5&y^Z?vG{P08n zJK7&$jr8$n=ohqgfS>U@&;7$c{DXsb5Pb&Mn^*7 zLhy9FlcFd~C}%8trE^dYlrz9K6q@qUN%tCu{fIO#K)2IFq2I`s^2Z=fJ-AXA2t7pZ zfHTORD|LI8VLYvbVW*z-vl!T7P&`X|7y~Jcj9}`5jOdTZ6%LRwe@|XueR|wYgn17-pdHLbfamu zp4+V3uztF*?S_^R1HliULAx0$Z z74}7l@?;4;AaB6G#iC*JMO*Ud+19LK0~N4Ro0BgeOUWU$&`-ftK{1Jx?GHw_7)&kcOGouL-vefIPb?WfX^K2! z9AQie=Q8HAF_&Nrg89t%^)U$h&A1R_cDyVK2Q9|9`dG;4$h&^MpqD4wns#Tr_OVsO zoIl3ulk`z8sG0*ZpTkF^{qZ;GM;G*J2zg+qVC)Y40uI}E7+Vzg(x<{ViFxs}>?hyt zXFuabJ3!mpZ@=vkUhlp4o-eJ0Kl$|GE9> zM?Z31Wy$C7{oe1{_rCW%zXJ9V9S8tObQw`;)HTM9y@dTCa_-u-YYyg7c5FWpa)0tC ze`3G(Yrp1cg#S&wDGT)@5)>N--?(wZ!AANJ(S3jZ=YQ@?Yk&Ki{-jS|z*W57K~$0Xf4FonY( zM&hi~-nyLy&<#T77%hxX0IV?b4;>6JCyYIx&!XHgwhTh_GxQdYLGdieDky9O^+4ZX z>JoB-kSldXmdF+P@|nI$zheLj&K#NZ@l8s+C2ww8KO96e$4R-l{uw@H^~ z9h;APYNMV5ZUB5k=^fElbt;;r(gbvq!(U2{#{jx@vxaRn8@eV+pF<2z26QXZrga-# zYc<+7m5hdqiAS8hDx${K@>cYuu-W{Qjpysqhtk`9k)R9JeU`z0EWm!GmpNi{YQ zt+`jn4nm}nG?bQ@rK6lqirNwN1{n7xqLa|yxW7znK1+R{H+}SH#?!ey*^wi)HL!GN zX2tg08gpKb(I4b2VJq0*@dRyooyZrv!kEgq5@YRt4r4ft{2oqL%t;upaTuA41n3sP z55LEJH5iJ#V=Q}BZE)U*wx-=_{}`*0Z^)K5zo3&N^qn~!%zTM?9DVD8UJW4+d_Zgz zeF0lXzo3sC##aiPbr}1}cj!RmLs_to^jFG*jyVqY^rD}D#?0$c)g zBQ5fX^bT6~y@Z_rKLBw1>%abMPnYGMfA(j8X21KpziWT+2Y=w@B-)N>HKN>zDkE?1 zh4&IZ4PYD3u%8>g4fO|b`^&%lOJ637?@gK6@`(sL>H(lg+So6cx&z$tnezOP|M5Q@ zd;@Iz?svcIfE#HA;C9qDI1O|Gx;=w%JYkfOPD9>wGWfU#H1dcJiopoSoX;pDL}y3o zV*iZ29sDp9d0-4kD?m5sEGsp1RzNpoUN^`A%3#dU1%UFR@{XK|86oskn) z>VR%DsKM0jtWfmXkRyGS@>3ru`Z4n5cls9fWiUf8L$=f#IlijChrOeG)FbRIWuk0( zmV1;5z*Yarz#iRsVs}5i?*}B@_~5SH{NRq=yY|2jN?_kK_HLtHj>A6(Xe(N3zqOX{ zbw*?x%P%>wfXKE{e`2HI#AXxfQT4HxCW!>+x#%`MqORH2IFQRJrQeCc6{lm#UwJNO zOJHJ8wnV#lbX*QdsCHeRu|9kBOX#w{40K2ESVeK82seXZU4pOW4QfarDW${iF6YFZ{wUc*Ge|X4pdfzwi&Rp@3OLfwA`* zU>Mf`=~$wQJq`Q$th!+*@Ii=R1Nb66@&s&)ecRAiBGHIkBTXXI_>OW0KCqX#kMaN< z($@Ghq)S8^^`hRi0cE4SfOB9Mzxu1c>c3Mim}Ra+`2h+Nb@w~J^E-ZDv|(_x?OCP^ z&}|KROjm zCpiy_P2K9CTL6lutzPIAWsE2&WRB5A-jo*^Q+}Agxj&2#*BDHWQzws$&}-_A&ZFBg zI8jgdtPrx=3%Vf>>cDTvlfjX?LNSQd`*93TuTqX-^I-H0rmWaJPR{iG$7TzAe1FsT zX(OWT#`|~d`n$L6-t`9_**5BrJgN-9Yw3rsoV;JGsb5^`TC-DFqnTTx?>G^3*q2TX z<;(%Nx!qnq^pZq>BU+`iA-TP_W;wu^WChrU<2+&W|B1#5wU0;k?IFyLpROuy7McXM zGY8vRU6!V5A_joCt_e=BWeepqktaS?G5}vwrI|G4;I>sy_HS#$naw*5o3>Kx+uRUptT6~L{lvgJ+v){s1t zi32RF0>c;uShlE<)ACefYXdNx{oJa3=uUzh;7TP^mBB%`69W65MY2AYCoO9woT8f9 z=A;zU=F)uw9AsWV)PL1JCs$UaMPA8rNp2NAO!OUl;L*1ZO`fFcGn2lF**|fvzB5nx zLA*E3_-di+l4+NDNyM9e(X;G9hYi@;8QY^Xs*i!MvOP{S(N?q}4AD*@2l%4hPL|N&3()QK5b_An4STZJS3a)(LAt@@ zv!DHpm+eHcaZ2eg{^Bq0MsVRP0D95Cc^-X=z0z2Q3Sb7vb?eqGzYn|0z2pNw3!mUV zd=Mh(h$th{j(h>P0KlSc;>1^MGv&lS^Ba+OaWF`oNEg730}vp9G?tXc(pa9QOb})N z=}&*^eh&vC5V;mMEI>EP7|Tib1NqJaeOWrEltPhDlA?3QgaBSOk!F2@f{{Rxx$+&q zLD8Y;m~>b=1b_4Wex2+f6m1&qdR%pURdmw&auA9(#+dDW1I*tTI|dA7ilN3xV|;b;j`!k=BH-!9h^%c1pu*#ZhLt9vEBOUu7hl! zzIoj~{@FGA^sO7df7^XImOGF8l`}c3BBXq;wM>p1;K}kd(PmqNFx=4u1nw@`Pv?ZI z-?@+bIT4hlqw%~yr~8RC18id{Y0}`Z1R^Kr9znu#Qp)`@sze)bKmuj=vH+0vTFymx z$tnZjn;)K_G9bfTpNqEYNnI(sp3id0R_(w&oJ2}g9_bZp>d)P#rAi~!y>LU%rY+S8 z;EX-SB#MbVd?L^$IQ5y?teH62Hp)xeN#@pHNJi`jCcD9io)ryCbRW+Q(M5e<2epuH zby_7G)N5Rk!=J0JEZ^Ii%xs{xo08T6h_t{d8tGiJo~nMF(#o?yNeu^Ul0{QGQP^Z$ z*l3*FU_^vlYC{g0Q2FYos6wb;q4M-pk3wz0=2!qML^iF;I>_o+u8dm9Ol>Aj_b4~^ zp_5fz-gP`g-i_rF$(hTpIvjvfyjr4U(!H|K7?epi3)`Mer4OZzIl)ukm69dD`+bry zPaHQP4@NwD3nOA8Vwwlg*CHM{UI?~74?m0)CyHh^^ERkk3pVQ zFV)v7jlQ4h?@gQ9-EwHx2ix}XgU9yKjr;cLr}yl}hxhE}hj(Q^@7XOre;_;h-W}%~ z@89*`?tJ>WN5nn4yJ?#bcdWlT^r&GDs^NvlNsWze`!p6|&ls=vI*c%%VaBe#%>Db# zQv!^G84sE3#7ipXK6~fC!F z*nYr7fJQ(#07mw@11zM@)RX7VGM$-7H|V4WSn{Y(4!H7Nbexz>yeyF>%7y}>Y;+#3 zFnQAH=orD_prgEWh?g}YC@^`^A!9N{M_EPMubS$0qwO#<)D3!-bqkqOzA&DY6N5#$ z&@l`bOqux`J>WO$f)jL;xr)32`O;qlgcutg@RD!n4+L>it^$W4JR9|H~ z$x55#X5&T$h-_)>m`HADQ31e7BwV5U8l{a&fTRkbsFNRjkmlCQRNfp=FtxevANamv zUq0FNSyX{-oLX91r!}*pr3q1@$)Els*Su`0C|zGt+8;J;YuK=zaiaRF?@PY``S#1n z_lRp{c1iV5bB)94#H5wWUspp!ZS`blHgd^JZJH)TnH_(m8E{UVSejTvwURv5?h&>1 zYDr_iWM*Z@hO^WLbM|+u#u@-!T80x%DZ7(Lyd7_Q?MDu}VPDjD@?}{7I8 zMMJuf{js6`&cP?`7JK)p-Sju$*?1s(`f%Gm zzxl|Qo)R^D^P~HAUw^Y~-vPHRIVQ`O2fVy+o22V$7%vznVlILlAjWLQHRi{BhGV|W z_l$pV+*6;&k_Krp4~}_TFykq6gaF*g8;IO|BpDH9M3S)tlxu7^6+Zl40$Tt;d-(97Ujg6PQ;oD(4jP0%%HC^S1D60Gk$w#9C}fDcFG~SxQ8(HSrf#chyQ2`YMvu@fWXv0cc#DAXVX}nr1`acdqC)_2e3SRtR~9(}2z~!0|WVqie_#nIcnQob8q2i&~-$pL1`E#O)Owk-k001PR! z7{E;lI(tlvhOS)oYhUVE-s{*%_1GTHY^*D%iUN26f)yRry{j~OnWeo7a2uAAN29b! zQw~>S;egwd;n^r0)nRHjR+;ujx7CRg9|7F1 zbcrD3JW0A&wd4$Lq9 zNnT0^a_g#Ivd*5;$W#3?c~_=O(^LR%6LDGX1qVAomg&k|L$-_k8GDV))_m_cwWI80 ze{0dCB{ zxb6kqVm`#U6M$R1d}eOSm2ox3C73*6o)10`bJoKU^`~8!KS9)=`BMO%U!}G<4TK(F zfNrOUkVn`L`bEsUPm`^n3^2A3U7=3{J`v&d?QehE{?mW@PtE{tEXM?JWB)ZG;sDyP zr$mu~5Ab~WjQjb5U<*W}v8P+$3@iZ!&;xu6!uIkzSM(YGlqj`W0=t*E=gl|Yw4eR# zXO2}+MwY8m4*Ef~HTeO!u@sdkIsim~yzr9%*f>>{CA0u;>{&-Uz$~SO0s|p!_^i?e z=(Z1$eoO{X3I;d+j!DFRN_|iw%@{0ESim-n1K*P_N=4_1NGI~dXdH*3pbT^dCN!bQ z$CcMfQ@w7qBTU`G(47>aOURb;Am;#O_#2&Kf<(IqFi1HAXsef%bkIfW6Z*+-=nMQZ zI{B)Iy3iM>7v-nU3_!HWX$Req0p$-pL#8l}1K%SPK(_t%Z97T*I}CBs=6I<3Y!5x+ z;?BqS?e+)v?B=_7?fN^n?bZi(?ZNFwz9$h&o;b8%Uq5$QJ*uf@s%+^@wp7osc{q+I zOIC^a;0kCr8jSV#QwBgw(}qWi5xq8(1IpfMT*rf{%D^&G*<}a$l$n^eW%*_m5mIqO zjw(PI*J@8SBG0PNII-TxxR+(0`i`Zf0D>)XBhTdIC(2iCGn2ekelM@s>*0(JNRPcv zava58H(mLTXfEo&VGkUFzyS$arx0sGqVyfVQ~nuywmE0k>^1$g(o%op(~p(LTxBbZ z)Mj~Nqhw(tz>q}=OyUu4h0<-v*&jFN)=xM%fn}v~QoV61iY28)-E>k-^b*xiX$_L8 z^-Hy>DmpFM!|Pzw%2Qh}8n)3+q~BAOedJ(BqtuwS=%{T9-@9#dsL9!+w6WUIquXj_ z+K(g_>l8|}SomIUqf+f%t~Sz*C4@b-*}6DMh%#eGyVU}F`;pu1w6InRaFuw(9}#Y^ z5^$5m{O|;6kxl1K8%#Ax25^%;0CEMXr+DA4;8K=Ws_oD~BER&l|9(P5UVy%|8>gz0 zwf=NEN=s_iR|`&7 z=CBvpF!sL0HhOfh`ZIO~d$_YX@I5jg$_}&SltXIR8}4%sWVpL&TgzxTYz=!^(xs}g zMR`U;923o!^AN5av0`S?7q59v9_w_NK=NUI+o*m40^*K?@sbU@-FOOk9^BuoM z8M&7+sBU+nJZF`t3w4AcWKTOrTb}j$oi#$gE`Z+j31m$2W`Hp+`621u$Yyet-YB1mz0A3w*<9j0ExHt5f z`&bG~^xaJv!rKg*ySI!K*D=V%icy+5rK_96NYG6g(GzSIe#A2Toz z;YPorJ|Ux%(!ayfRC+objBNXH-)?_&&pvzemR);G{Pu0T{_br*eUB&%KcQ3gf3A0{ z-)JX*IhK6}*alYso19KvM>}$u`XgVSiWBMpoE%ap_H*MPfodt~+#}ltddBx{^TQIV zLeQiU3Bs~22hw2uo$Z2cPe1z}Yx>cVecrzM!U{Ea20?BCW@x`c!+#0}MpecgzLp$tT_0JZ_nrTUz&72=l7 z8i@^6_o3RbY{_^(0Jpk`ngDKTX5B_^ ztwfVHr9fQTb~&+a7KJV(*QH%K2z8sOUFl?gYH1@MTiF;YMLEx9*BbLR+Zi_OVZXHP zQE8)DY5L!F;zc`;M ziPvq_QGAD`ERlXDZOg1JeM@XpeGLFM_D*|B$WZ-RGGtG>LiL~>t7WE@d`=QPtN=IV zry_WtS6TeKBb1>UZ}qg;_0*QTwdwPI>3Ozd`XIk97OCuo{!&>`U@q~PO6LETN;r`X zQzKWvyzB&k8!r|7#lmFfHgV_4umapF2dOTEQ&I5Wh@NG5w3%6%!y*o7IUJQyH#U~?1J(Sur20R z0lL)zx0uKCTqWbDe3ps&F#mud+6P7swC7o`-&rGcEI)&SjDg2`TQEY++N{W|<4>V%$!uGQ`2UOEZT4PS>yJnp3|aI`h|?FYKWxPhGq zXauzTgFpBK`@P@$JqO*0#-n}!ZXCjZTq!T#hb+&Utvj9C_lhZm$Q5=+p~eR#?nOx$ z{KG*^> zwFhwXC@}}sWD5b?wnsK#i6~KPazKe1o3SsOx3!$mCD`UXnLCKZ>7+!tksg2^_tjO# zTQ~mUe?IdMZSP+{{l0QkbB}Jz#YCg|;S70(7b9nz2)BjgJNM|eAs``u+A^Ar@A!KN zd$e8!woSYa%0p=Yu4ODY?N-rk0B)u7oyy6c$jQb*_d^$SPote#QdH4!M7GUzAJ;{$ z&spMt+msF4)xfmBG|KWs`liY(Sa#Y_S*N1E0jH%#KS!L;=HdZf?t+5L!mBix7mKg7il7#r1 z?|s>+L^AQi6>@nvg>;O=70}3&sTZ0m%@9j=%F_4ATORIk6hi*I_R$++T|fT$b^GMaoA$|DH|(jwi{Iv)wzTfWmazxb-qY1fmlD%It3mioqi zWewYj{lgwcutwc?d{!O#p5I{zI|pOu>crpi8^rzCYVzHW>Sf{@FGRv0g2Il%kzbSt zdyan;OHTjjkN(KM|NZYf=tiU;z$4Lq+{Xb6oVp5di0vkyv)J!0K(}WQN>NwfqX;(? zm_Z!`nKjiY3UeIjS>tslN`Z~V8w(1=P)_;@RA@qS=K5itac@GO#<>g%_Jm4;(}z0_C9k7||vkEqAqRmww@r^}e?5hbAOVO-kg*v&@xpj#QtW zzMMfKU9!X$O-)!>PO8r%)v-SUaGG1%X;{9|w3+5g+tZ0nbU*u%b(@;3u>5wBn2P92 zPW$P?PdKfYR$6GyB(;w2Z4!wy(mey!e>SyAs`e0jw9pYKRi2Fo%L3+>CrxWDF4~;aB@>h%7JbGv;n#ieTTjug{rhjZEl5>V?%n_Q-5tPBggh7s+#cvtyCXdSWC}m zO2JdpZ}X;{8#T#T+;5e()hul@Ti6!hc}otE>_kVlXHE9*(l;)--Sa&w*W^IS7WnwF z%pTjv%LVFu{hdV0`sHy-er0#yQeuYz@Z@$1=b;_77rTBj!>>g}{6!x}4v+ z7iW<&0;myb!8|NB6K7t=e4Nijbud>W8YEtj1^`#D=V_w7WumQ)OAZ%wL1&So@50eP zzN&pBf;_N`v`4&fsDon=f5!_7i2K8q?nksIwi&+%KNg#b4aI)qGe!G{|AZ~(Gxx?z z6w>C(-*tbO&)^~ea`;w!CNI*!_oDoyb=K(QW=Lm{qLYT=z=t93N6}CYl!QT^0lp5p zp-@a7Vo51Vb&`f5>IfaBj;ERStJ`tc54mD+Fj{q>6+=c@ka5VIwdokNgMx1L`atJF zR`oia=K91N9QrPO7`f7?82}hGkR>u@!jC*p3OIjR0-OSLyXT;roVdS#-+ubn@7PEG za!ua>y6yO;-p5H#!K%W#mjK;1tl4g<&&+J=QQr?tAiB(>;P#2sKyA<+kE~ODSaL;F z2h20<#a01r)$&$&x&#u5KqJqh*LKj2J=_Kky7fJR?J$En`@(T}0*5KAU0t)w-@0sT zU(-Zkt!?QNbfc~gx~V>WBKB0qlE|(m`?aMu)n`Dr0cF&+(U#-C(X@GPwk=&7Ydj&k zt;-}OQF;!#X%dx|w!@(Vx^k#u5Ffd}lVsM^4<(>mUu~dt#;Mv=&-k8LN1#N{rGRev z%s1Evbem6l_M~5dZrh_J=(fE7MZ^ILUA0qyZh%sp>{;Je>}84eU_UpB%HyPlivZo8 zE|oh@LQiMPYqXH;bye#xe|dGZD5ZCchK=W%G%whjZ27}8h=@g^-L|G98=$`njbXN~ z$t2Nkno_C{9XFv>KxD8+5RYrA?4VR9`@890fP4>zQzwxzf7}I zeN4|unt*O#*rk43EJ3$Xt8~z9yScDU-MiJ04oJsy2iiZ$rYd*^R|e5W6Y1XIxB5(PcP#z{bXPJ-zh6B0L&M^t2UaP8GUFNi7$U7!({6@Q?Gsv53UFOh1WlmbiiM(Jw z^BqQtG|!^EkPSLWU1*1xVADQaUlq}=5ao)#j9j@=-WU)Y{rlYQNEVW<%A3z2R6+N+cd@8?!b}x9)8)^WM$8$bLF6UPd}OV~p8TjRw=*njfE zw(=5$-+8e?x|~FM=gu9^ljWoAS4Y30Oi{j&4_EAKJkJTKFlFX6SC*W{%as_f&I+BW z(w=08Auoi<6@?6b9`QShLPtjliHISjoz6r$C@qLBZ{zrkV!kTCEvTONLF;)IDC)Jh zZmTBJtjin@nWI1PMwV+twjEXGd!IS$a*FyyolaAIC<}uDazviU72_X(8htnpO2GIt zc@KLL&!0B(I!)wE^vCx3jR*GrPd>4K`I|TGjlX@{-u&Ua_Su^^?D4%#-_RT2>A31Z z8v(ktdoA1e+J-OhY!tc8Aqgzy0wm*9((SF04b&!+ z5suXU(R2`^t-w1u_C;o$wU(`4>Dr~Q$*y};+nO~u+E%JAL#6Zh$?Av4U6V<7& zJlLNuX{zp*+SdJA*A}gYJ(0t^Gm+C%h?|REFOUxYTF`Dtlea9H|4ebew9R!W)P#O<&I zb%Xh}LCQ(fkvhZpiVeRNu7g6;r1VLu@J z!|)MTMcB9SMM)dmMYI@p3|kk$H+%*dyK&=&mx%)l006P2`w?kjTLI>t< z2SP^hC;&-aw7f6o9{4QXA$j(s1Nnv z8Weg6pCs)k*N`cn`JUg=qp$qw|@3`kxQ=E#|-yAxq#&VR-YsH=>t`VD=jA>B=nV6SvL&*CU%oZgwsC2!@v_gT>?Ji3iN z)>s1S%RzPZNIR9~Wr%WmUcON|ha{*jO?_^wFSeQv@>QphqJKDS6`+=}tW4zuoXYh4 zZab(Bq{rVxov<7hZm2FSADzp|pQ_B0`N9uVV0o;Am&>wH|5RzFZQb7iRBPB+Iy08D zOxlJ1&N)ay9{Y?aH#y}4^$pS^YOPvMs>G_|n#pl5yQz)Rxktl|7F9HyA4pK9)`SUoR6Lob>c9GFE}OAvTca#w{}VAl zn%YhI!1M+BwPSm!>e^5qrOKf6$#Ev$jnnnvS%vX&TF*=umP}M~_5E_9K7;MkXMi(W zi^yMI5`^tyeCK;iA`xlai%rd!_qd(HMyro=6ZR8(KG@b6wlnfmr+1#nfqArJTMxJW zN)+7A=Ab&%W=G?lt{iH^XYS{34vdM2@$x(`>o&lE&KMjzrDQc88Uwv;}E(QdBP0z5jpuXb$V4q9bz99 zi1tAT86dfyB*i2d*-{?#hBl{6aL5$>2|WtAhD|~?=p6O}onufzHm{1pwBuj_wmrQ4 z*zR3>VE3;-ut#?{ZSz6pe8pa8r8`x18>`Qbph$0Z^}W*MeEGgY1$5Ju{K$Lv$Cn_Frdx0O@=x6Vnd&!J`qkcQa0$lKcaus8onHH zsC|bv+ZKIjmV6m+{wv@+emM}k$ z+G*Q**_wlHo3p-ci2;UQ70IGm)7G80r5_JRW82g?c2q(q+YRZLSZZeNOns^`vvE1J zNhw=;Ks|dIDpG(=mhfhhsqDG_L$JO#%ju}3_4s_LqpHl+ zZbUX#^B$PF&RGH)Xp^VoT*U#7)j={i?yWz!m+QZ|jg}3DnIi-)Au|BB+3e$ zI{l4fN2C}_tmL?PKLB9C$vXhiPE8`imQGzu&Rnz8a)*$mq(o%+2HyZxN_$m=bIEe7 zjn_AP`6`DbOy#Vyd}}n6yG*nR@B_e@%7(Mq>FKI6cEvcMFpen>u1Bf?#wD^LYLiAs z4tz7Wo#E7;5E-H?C$18$LU$)3uA}x`m$SNdscj8?wr*zQq_l0-y)SMTnO&w$h<TA)gjY;Ns-u2HnS(m#D>ddiqwS@O<4-poXcUK zsHmgT_o)LE%-YiBb;)zBVZ%g|p~b;Z233yEq`#iG>~gcEJXO}|%pQ+9iBqy$-g^|n zI_CL8x;V2WS33fl0G3oguZ%j9$y&}{bnK}%Rz9oWH*P-yxBwGvhlEG{Xx^V`xTEzh4Xw;*kY9LI=izX+lq}H?F{_{RF8U--DN*F zUdBAQ`N-~k`nlcy_@3ST;I7^J@UAa6ee(IXM@JLwMj9A3fVxucyKvi4y_CYfGu}m{ z)mb3Q9c5=e81oM1Y%p^wz!S!BuKdmS+{-f%<3012m=D7E0x;jf%ptfZ=59fefAC?6 zw3x4u2hYcxgz~{hN%Mk^MtkRe$l@#k(C3lpAM``|B=R^7bMa?U_#OaaEb9b(BGTK}zXfu|70*b*zq;cQ7@4o9yds0?x3~Au! z(ysVMJWE6y%S(xF`{_@A>U+oCzJ1%DVK26S`)~iPN2viwQw{((o{4h&@P|L#&FlU5 z-}k6HfK%Gz```b*gKe}4`Gx;=*61SA?HLq#;d~=>fEAEg-e5osrZJ$>X<|@C2^gSb zkdDFdG%5$3gbqbVin7vyC_A6eG69GoJL(pbC+bGM4hrbh^$l5LIJhEjE27B z2c!{ieb6@|V^8|+S`~%Ha?*($sweJL5#0vp#tEelZauQkZ#{M=Dwa)pRE0i6J{YiE z499Oba>Boo-q#}C0Lk<_OR9L@2SAUesIKTfX~r^DoHdx`oj8p0Jlz3=V*~GJQhkJ4 zb}8iNOET?zOv)ogt9{QeTq~r0_^9P)(w`DFz*q5N{I+526;0EyLk#lO}wjA^}fS{6^ zk4yYQ?&4?l$a6GIr2yp)}b*UapoOnoyMbG?tE! zm4_U9z#Tw=Y`tO4E3!+y)VAhh+n&jmA=u{-tw3#>O0!t7XII04Lb$(}+M~(H(>W^9 z#!Y3wDUn5cZbfHmd8-240C7}{>c*EOj~-HP8yeQG7G^!Q^=Ki-SgclB-nDvCPw;Dz z%7&zEO8~{J%%z7NaobNI?a!yapW7;kgDQxG?5Zy%Da+r~$4$Cs z>|3~+JoY2nntj|@`q@!?x6{HwuRiurbxambOT`P1bYrPas_)h3rqTuVYwqCy5G02E zB4U(-H(Cu2-pFk&XN+aHr1OtvRy>$k>(SI&>P9W~+lK4{0G&E*HMYn;1{lYGl+DX0Tf^Rx*sOA~ zw8wf36A1Av-!UF=P=ZGjbJgFKZP)+Uz$N)1F)BMRVLZBxNViKJ>wST{mbGO2R96ms zVShOQzqLy}+qklBYa2a(!2;+dyRPj9QCd<k&F7hJ!eJYz{1bHBaw&$#b`j+a8-%>D2;VCH@R7qN8jf=-^8$Dfr*H~b&)1){$G z>7V||nWd%w?Z5pu`;$NUljU8jA=)J(GKolIIVm6?gpDJ5jYAWNNMk7{jE!N*D{UD8 zCHS0RA$$(oNP2*GfNsDC2nE)HfgXN@Q=fZ|@FNZF~p$})h zZ(V?H&!A`)j3}J}1wtVaI0lx#0d(Tc5)L`a!4)OLVXqIEr;z|WK-cN?@uo6BH|lYg z3D7N;&QhOv^F+N41G+J}foUt!B)yPnfH5#>BKPBxc?|3@WuQEi3j>B;o@LODYxHSk zbrPT(c`*RdkCAJDZBXb-0JJdjq@Tw?P^U-_K=f6EZbT)F`Xi50_~hr;?315ew|mzB z+aBAK`&<6|Se_u}jjH(ICTHtuy>RQ6_K*K7Gr0V$-&9ZkO8>~e^*!1gPy=idJ80EV zTj|R8?A^var6<1}OucWgM^XjgdAgAgwESHE>Wfs}@9j<+I6S2sU**|QKOm~aM+fDT z7dRp8$wdE|yTe&=1snn*;(&e;Fs#}o2+*t}2Q-(1In;AF(Y{obGA!@m_CgMDr%R+n zW>eJ*aBTsi)XA+Z8ooE%RL-%Vuqa*1lpoPCly{gdY>-QbjAK^; zb=i7mt=9@mHyZY2Hg+cOX2M=lN>|Q)E~kDjC!hNAOoP3q#EYKUTyvFKr?j!kL1fcX zn)?zhAZc2r3_A1Ndg4}@+q_U&#Dj9?o9GkWbW~EYtdl8ybf%bE*^+KHtLU?%E>+!2 z)Pp_oX!mYDv$f{b+8MxJ1@4j8agnsi|7#?YBZ7Ml1qZFAfZr#6-% z1HKYjxeD@AbEVrY$#lI5(3#pi0pJ|iq#P~pT0J3W{$<~`^~RcQr0X_R{hkcwwmB?q zI8{HJs1JZQsnbziKEvo*T$jl>Nb3iZs6Sq5w#6;qt8r_nacfK%sU)cW+i9h?)@2V@ zb!6$6H8qZqzWU2l{qf;oVh@PsWqG*r;6RfmfZITQYg_$OTFmxY_l zRsov1jnm&OD+a^RvE#eT)+`SBuYe4q|Q*bI9Pmf5-d-CcV9&8_Y8opxen&$e4L~$OAcC zfNrmr&JyT`KZhR<&hV3;{KWp{U;f2Gx4-<$zx1V)t0eR_{K)WW@&ALc9f1MRZs>CO zN%%KmlejN@>9BcG5AMZ2!4S5H`-pC%Pw*_Z3?fZ9d|Jv3Ls?OjRf8_aLD5N2^cdJFKYZ3fH#&ZR zZec{YQZMB7EJEg?W5^kU1CtJnf#7*MJx1W9WKOy2#uBDn0B!(pXVC}&w$Y|sV-iYR z0=m(kR!Mcal26E$cBBk^577tWZB7ghFOqAdjcnr04Y~p7hHQ?NWCA_!<^DbF(Z+Jp z&u>1okKXvqKK|)7dvN=)e~+`Z3PRT%q-tm|b!UtyF*)=8S%dP@IRk_P2ulEvJZb}* zx=dtw)i>1#(e7{c?{@$BBGKls|Hv3E5#cPd0XdQcKp^fTO;rXlc>_SRue(v7BN+wi)}l70O@N z$uhzYK&`F*n(Mo%oc4)4@ljUVFxUMVdr38{r7{Dyjr!HHG7n$T|A1|ctC^K+srAuc zG2lSU8Xk?75-Brc(y4MPKiZ*avFA@_llH>;?U@bb)vLx1FznN`UKfBO(&aD)4rS;r z0NpgvvdngxvO&$M4Q-~jc)4YXnd${7bE#mzyNQkSp-tKRYK26U8|?`fna1o)yu$G7@pUmC88xD0#khHdmTAK(<>eCnLbZnPSjXQ)r!+Zo&a{=_5cka{8|D2AyO zqtqHITQZQdqw8zq)LtJ+M<)yQV==&(Y)Gj-Rsn9(8`&&B+(7J+Yq|#jE+}4juxA^~ zj1$=0z~=K2zJyZrS_cJ-T= z?TW7a4Reo=3q<2Nh^H|jtIAhJL062eJuejF5^WgsjF?C6ca3M5X9UMwJU-Wdi?$+d z9A@V4F&Aad6mwI5fpm`A^|VsVTbcW@Y6wOS%*!u8w^v6o7e5Q2TllKr3~#*ghW+ek zKXcISFaF{$><2&i!Sb#PIxlnqx;=v;AHp!{40MVZ*cjAe5R5^NYkY>z!hi?Z5J-2_ z2hf8$o(IsazH~Ms(qQDYAB9cP+jJAJ_(sqt|&{qq2M!vI~-*=OB8Q7 z&_54MD*8pRW8+0R2oFfiG z;E)9P?q{FdoloxhHNL~q!coIXTM4N-aB(Z(t#X{$_pIp$2B<%@aI|vCwDhPlUyAB& zM46Xq?9$UO{L`0y-=DnhBJyGnIvhbxBc0AFK+Hig2gEA*al3+@4;#T?({v&P~$$dsex`~iOpK6 z&DttoF4o_GhYL2%v_hc%FTsLdY8dl7dcPU3ZQQei^W;V9XhWe7J z&%R`YRNhGJHP!94Zf0|(xs&v5XseBeB2tg#j_cw^ICE?88*C1CUl{DQU-f08*d%PV+h5h&UpVMF zKroi3au3Fl-=``gd%sQ8MwM+;y8DR8fipc1n8qp2EHPz2&MX)5E#d7^5ptAMv)<~RHO9phL$Q|JA@N50i~R{9)Kd|$P9-g(FObNjPD`!oB) zKm5bxT^Dp-=*%6Y5QEQgQse;x3SdYh8U|nh$DEE#C&s|?nZfR?4RnAu@y0F69pD4k zvrN>BNeOieuq^7v=luwIBV(S6w}=r{#xo&vuCGGoF=1msff?-4KY*%d)#)@7s^x=qb3%MTVZ87&z{)n8T9uWn3oJ8G-dbs<^=XUL# zoA$xKd}?q1=tFz|#~=BU(j7TxM8FZjuxj#lm2*}_TBr}mc_NA-Rhu^C%#DUq+j`vh z4ZDXsW9Qh%?PVF~5C#Nl%5lr(X!rpMqnYwu@}P?T^G(Qg1@v+d(4#}>OJ5#Kye}(9 zwb2&<0RQw!L_t(dqW5}Nd$#e74J-4^cJw?4Cg59*@iuR zU{yq_ME3bUY3f%*aJFS1)bsTH?%BLAMObJ00c{PS*ecg7o%QVDPGYw@DwFyohbk1RFQ#`~iZHhMRBgDASr5C6 zt*h*xY^B>jUVf;}B!^bF<%i6`4w3Vc8Wt8*t%f% zK!%U*+4cAD*ga0kzO!jt54L6dM}B{#&DiP@d9t6_+mo0-ofP>PBKA6}t(jvmpJ84R zpjgZ~xWatTeLMrj+$iQOF!L3z0B!N&kbB50<||y`CY9V!~1f-2zOk*KP0Q2II%1CfbC7GbTs@w8iA; zq-Bl{qWhE=9i{9MnMnQ48c}}Q8Rj$fqit#9mj&HoB1AjY<%+%|H`1rwqA!!@^8nfB zQRo4A21rZ##{s(G@US-zz!RX_jrVWcM{iuSkKg#rK70G7oSysk=Ht$8cc_(LqWc>irQ1zxoGmPN z18bFXp642WrqVqX1fqmXsmdoCa`%On9PmjKxstk)tmv}zc zv*-*huTRpEhNtKEt9+`JH5mtq7#2GiCVS%tw#c5cbiCB_d8_c#potn|=_dDin<}Aw zr^q3Y7zr}njd?_E>mSw4z>4IKN zv>j~;)4njWxd7c>Eg=u){pddP`m+GK5eNX_#+5?~I6UA2bUS}^0lF=TG#QZSqye}^ zq!ZsWpaHni8E~dwCHS%`V(^VYIO;&1FjDYYCh8S{A~J%bZd@T`&hOlZfkx&mBj#`J zN5%on>;>H5lcvyp$`^nl<%7>M=oXU}nD%9Gj7jBDh&GD!kSl{2eHoqLJJLp;?9Uj3 zaR6>F)0av6xIs5I&IWK}iP5bO@7f3d{E5BuqYoW$yZQbddwA!GoR*;jLTZWXp<^PJ zFm*4f9ba3sM!|`I=%!>Ub_Z?@;3mgO@>m7=QdZ@eDKGL}du_wgX6C1f_WMkDmw?-x zJeLn0fNk*QzHy?fd~~n#qMO*PE4$VJ zA}QT52XHH9x?xha`$XvjD$w4jF=b9<>K0PLX?tPAL{9rcY3~yrmQJ87aW zRe75>TV&RsCbq?%e+%j3iu&e@$n7csnYY(MZHUg%X4QX(CEC4F>R%4_n6zbUx(>K) z4HJ7Z;?RVJ@7+e-Nu4Fo@KRbTf%uSh=WhB)TQ-MNO*trq(~S4CZva>RyZUCz@^8zl z!%m3qQh%l_^hM?oEz*;np}a%|au`jg&D^7kJ~O~{^}(U+4iUVi^omoUc{$MC=vrsJ zRo$mFDGM(f0MwpE+=H!VjHn{vmVg^e)AfC#@&V?t9JDQa$db`Q<-tz+iww_0ms%d! zW&k&qt9JEFZ=++G+GwURfEPg94|ja4gU@d~^sNtWe|*pGh;My(&+cD;=n-+-54Wwq zHT1}B>@1@4gL#xMCsDu5*nCJ)QIIOeGVw#AE8<|=#+&<((ixgcr8e3ZZAMPtlG zm@C#nH|8lk8+yz0b-tj3Q@q@TqkWMLa=QTCPM$)ikw<`TG2cI}pd01HKY{T-xf1CX zr*&S?`Jyuix&`ew(K!tHh9dz5v=pAiO zdmo0PKiB0NZ+p3h9*{nA1rS57{Jko=YU~D^2`tH2km-BM% z?VI-T8`tc!w{9#W1-6WnOIHDCkzN#f4vVCs$}j^OjM^z>AROkRJa+2n*%)d9}h>gQs>Jdz=5 zjCxedXyxP(Z6YTXP>kOlu!Kt1^;IMBSOI350s*dEujb%rtdJcV3^#I&T`4Iqa zEK#keb66t6jRPf$jHSGDOLDcT0RoZg(bKIHy_x!{8Lg`(1bCBlmgUy3rM^^sOYvgf zkW3r06M!kY&U49o$#coo|E{hxU8mxi?w`z38;d71$$FkTbAMUpmMqv~tff4qr;-pCFEr;1in-)9l|WQp`GY1u?&?$1iG^jXTXskIX-!usRXcE+U*q_a!R+R1CFjN>FyC_uQw5=)iQTO!#2 zr~sb=*sCW89))e9>i`b2B-Nwbh-wpil$n_HGBt<;>pY~iJjzYB1lyGAtA=#Ofi$JZ zEdWp{k-5#>Ul#DUkDmZlqEvOP_Fa>`1guhDqky}%n9t;|``uPAne-uSJTDE1SmSyA z#%>Z77h4HXUXKpO9>dsD{ms?)io+I8Wh?s=k6asU4sH8!-*&_RaGMXdtLx`mz6C-Y z@W8z+Mdiv^#%F*y{~qp-Z6bS$UFBd1=0x83D3f2R>scbo931o1n5)9fC1B=6F*oO4 z=C{mq_#E??mc-Gjo_YdfBW0MFZ2bSFFG>^DL`TP>jS}2DFzyhBpnmQ=R4A5K#75m z-{=V3OQK3vDERAS2eura%0mXgDH#jCUOom=1 zA)A;8VW0^^Mt-~z!9Y{avqnrBkxu~K{Ehy_zIg{F+6E5bJV42qknShfkS(;T2_*S* z=n72vu@x_Skb*l~svAplST_3bPPH`W{`CiT@3YT$4@`&??VcCm@G?Xj#i^uOfwL!v zOrL3Yvcv%bkOFLD!|qj;1BZ_dw*mGz#DHa0B@Vmf$sTezi@qF_Wt%S|iJ5-fY~j>a zbqFAj!xHqPFFN#nm+)VgYT=}2wN`;`jZS7sGnM{p{2|%|Fi&;hes_wMZ_&-Hqi6D7W~1i9+4O%yg-oUz z!^SG-qyhu0Wu+9lqGpj=t1Z26C)RJxooA`;ad|zJO%B+Ws69&EJCTehsg)DmqqG;( z>RveQsvlhfy-Iu^u$SEntgZIzsoh%|O3Qp`Wm98N!qPVBj@SO>319@^vyfb`DxWJk zfQ{NrdlPsD+cI6|CgWqKO{sc)jD40_zP|}l&5r+XsA|0 zV@{)~=XIZiMx-5ViN+mY>gvZ)=q5h&Wy6HRScTBhsTII;C{YUx1t^wsAE(wG6ZUV5Z@f~R3?=5BkZzDHsX z_$7N*s-7_80xxVhDB*deqWVABNWgvoHD0tVv+(p;D(Xu}Wkah&8hAuDS@~3;TxI(z zP*0kz`yJ5Zcm0Mfg?J{Sad_*4lmuLmbY~*{D8u_)K(i zj~C%;C-JJr^V3K%*THXL^L6%sVt!hW5s7ye zbuvIiIP?&`qul|;4nwpJ?E;7#Z;N1LNBhK5Qn)VHRmzrn#F7rmA9{3DLfqajrLXLT zbNiEfcI};8_UX^B*@yr7sV~oYa(~k!1aNqc3vh#QzI@L!93-5e4Yi{j9iqO7U|?w^ zWx&~5s_9AyCyEn9+3-7W7nZ7BOUVvLmnEA3T126}kR)c@M;tSpxo(f8Syj3?aShNP zIhkyVJ|LoSYvgq!f^K&?sT|14sbtTi%=bHLZ?vqb_5gHSsEu$iBO0#Hfe-pjL=4Vl z_j1eDzec-Ndx0+IW;?p)$>zv`H}0!bt0yP@iX6+!h0PnKJLsuQRsGO}q3T~nxP9^2 zW-GN$Pqw_9+9;dbK#n~pXzmpa;6XQK3;NtLIrwQmvH6H)OLGS&=pQ)pi>CTlQ|UBV zA_>s+azgIpnO$n-w$5_ghT1n7sdmzz~$Z;&y{}*j5r`29y zlX0Q;FRVXk+K#SUgTi)()#sg2)3$w|FqST6;)ZQ5na_O3?|t1j7&kqg`K)c}ykqI2 zD;XCyn@hJAO|`J>TB5uugUSUhROf|*ZvN-75YS^Yk>1(5P3EcfWv7PoF9Sr!NyrtQ zL2X!`+e}+kl@sa?T>WCn1D^3Lha$`-lG&i8{?oMnM0H|`wffIq6X^NsU(9?*W6OH8 z@bAW||3vL@SfUPo0;#T?W_r13Ij}}Fs7HkEA@X9MHu553jegd%rY|++`9)G%f5Bdh zQ|qdHmo#3mHztQZjPy)bc4-5^Nj9s4?Ujw1&(s%XU$99WRx^~1!UinRcio3gTf<(e ze-RBwn>+XgD)}PPz1Z-|jwuhNPhP(KRJM=yW!ZiAa>v%LXnbRdt88Dc{!APD-gDT` z#{(PpHAlf_K4WaEfH}2|@)>TAZTnH*_jThyhP$6Vu$v#;wHxo>vAdssZudUrP=+Ud z4^eT{ooHk7j3EZF;a!5DLm*q=7$Iedm=J|A<$03~=f0uGofapiBm z$LA!SRX|i-+lB`a5b2N_y1PU=rCS=L%aQJGk(89~8l<~xNa^klVd!p#@Spel5BB+- ztl4Wn&wXFlHpLzzA>D?biCZ~4cI=O1TP z=55pVKA8nOR9D^qpuQ$V zMN$C+g}ezRXS}2$UjG0To+x+OsZViu=rCJ0QmI#>#m0hu+9j~oiE*@Qj55KE3kC-QE|rXF{HTfBE{Mx&Wo0?P=S!sEg-<;@xG^9NlZ2oWnGy zla}++6noX{W2uo<`e)5pO4XRa@?E_N>7-1&d(1lhD_5$m<2$Y`o$Y1N!4O!3B>7!(hZ&+3e7`>W-ycfb!pR_aSY;Q}Jm$|Z>2(Z8DzCqcUVWtT-ZecAz*4S>R74rd6WMwJ)D)z$bd8aA_Vd}>7(h~& zd9Ys=lTQ5NmCl|3t_5)8@VL(MY1Im)iKijI--7IE#o z+SD4$+<~xz;%tqSqYV8vJ>B*S1Cu&`9`eA>4Rq(e|9l{KFAibRPBb~win)7tnktQlc=;3&kuv9G3~ zk*E3NaCPCUesuD=saZ%k5>SM6i7Zr`ToGg)NgBjWHOczam4@gQNkSXZlw9{z=XsKB z_ddZf`s0!Uac19jEjWq(h+F4MIKftAaK_JA2uD3!q&39PkF5Z+hP*AcHvFdLiW~sE zm$_M$jNrjV8yuyGb6Y*ox--x<&M+MmK896nMp-2pzW=BzGjU0lE6TDwSZnjVDa?`c z(Yy*j!6683EFG{O?>pv9oeG3iUUKcp`d0TyZis!1ZFMp{zVG+s25pSq*7e_t;JQS3 zv$^V}3EFk+!tcOE7wGW{0R5p5co1e~R^Ib`qj6H~X{>O)8@TmfXuO{Cc?rmQ!QwfQM~njHRA{p{1P8(94q*p}`Q&wn>;b%EB)kOl; z#TeDa24Oh@LWMmt)c6h5W-@uxVsclMxGZnAs%~&ac8>&*&Yn`2klv)UHmd8O5%d7^ z0TopHTIHIzcWL=OFNQ~RD>SW_zu1hk&OA2u!_Woq$UfI}-~$R$`LZ+dEE7K!&6OUm#dtUebdPfUrkILSA2wP$Nx0hPk5e`6sHty zNQ=AAq%`8qTUYVnGoCCC7~8{h+M3HC+Bl&r#*ug3Maz$hH1}O0xBv2wiP!B^?)IbX z)EI4`ylN zZs@1ftnS!oOg6<;9uZ;gJTdpMj-t!(qTk8JWLXDNV9ACrg2~sSI=Me;DgVBV^zzIS zD*Nvp?SD9_AHl?u=dx6~YxukZgK+EU54IhN6&SSFhgC+d!W>}IKF`uZG`@ut4y7#O zsi!#>K)~$HGPXsJ@rao41*g%Q=pCH!-&Od_y*+!~CK(TDRC4b#cbc>eO^n|moWxj# zM4G#p-F%*}O%E(zY#{PB;utNf>o9 z43B+B5XPLnr0#$1Ro9&!*Igcyit{}@XPmr1b8b0wQKcTz0K~+h;vxNhDS}jEhKv&Y zdxCS-Vu3~3Aqn~~=P*xa#~>$P$yQTJ%6QQ_b>m%}VRcxoD`z%fXT+aaBOqh~Mumq`CYHw|p97sbNW-DB z-3@z=Cl~6z$GMVP82V)k;HAEvWm%l^K0-;8?<|orVw}X2`S+s~eM}lN{bauD;QD~| zex6Z~>&nVJoGbx!qx~8ix#>Kb>_cYdUAoF5*e6|e3w`?^i2L4lhgUQiH>|Mug4mm_o48`W^L-&Rja+ek z+p0d%bVNU0mMhk0FubXb20%XdHB45xEI>J5Ww&DAO(Ci@%PKpPC@vuy{5rGJSj$zW)H<6neK+bf5DR81$;~XHXjpftH6o)u@!F6VS_4AL7!s zXkR-+#op|!xY(unk5Qi}a%Qh6TCQw3;L*jGo6|bWDzPk;b4Iw)etl0jT)M=rOlf!6 zKLGnKz?*X?ST667pV86arF!2h?Ac#|J!pGj$|DEEPh{=cZx!2;m<`(iuw>DWl-9Kq zkJ1(OlsS*5EnZ>9bw}S|%s*1pA!4iBU-nv@kR~i+`QC!yntV^FDpd(9stbv#e1NyH zHSLkm^?ll;(;B`jgTTO(=~bLF57TSx=2TbO&N#0l`ri2i`&nhNHs_OdvCn#eaf8`I z0+CxCflw&f1up!Z53gg-%1bvPZ$ka< z3a2*zn4_sidTl`W^Yo=Q=nk0zvlO7C!Dv!hjJ0yx+_gqR4mC&?Wt@|Ucf)+;OX zy(ous6l!u!qPc8=qNLM&5iN@xr@z{~ibb1yK3%;}{8#_>rL3DTk6ADZ#%W|pT2DCP z3WyH92`?%dg%)KYE^|!f&rw8&-#O8==QjyE9I#nI5EO;eiS`{Lz|bE@2#-m@@A(r`A&EC z(H})*0v$dB4@zF|#s*-7c%#%J#o@PJbJto&FYg@{)T@Q^S;gnNTL)cm<@;NV@$ z()ovz>lAva+pc?;XNd5^`F2_es@!AizXp6)NLwJEu^<%?fTUY5~~vD;pY`{=9;(SspdDUXlMG|X${Xhem-Y6wEp(lm)x36c3Vwk&M{r>87$LnwOwVkeElSXElttx2|rzCVM zWFG-pI^FQmXR*q!@)%bj(*^9A#28KrI1|MtaO!sGJQNuM-EomG>%a);`lh>PzUg}= zteUzWDbq!BmaZ2o#~9i>Y2OC2H=FU)R~|0WHpeOsq2eG9cFkv$8Wqp*A4)N|7VL90 zzM$#zX&x50Sg;=_k&o_&+B;0z+hz{+gkmCy(o@5=jkb}9s4b&5K!w4L}=%iC2lRmLkf0~b|9yGM2(Pm$j%ObQK$ z6Z_cYOT(brL9)|CbAe?Bdu4RQu`>`zOfR9Br9ZN?6b z_A{xb72Kbq<|4$qPa{oWar0?cajtM6`nUs#WP89`oG%7eSv;cGug(E~`4c)JW ze6qknvO}l+C$bZpIN6QD6ofRsHBf)c&jU&>s3hhEh#|EbXS1^` zK;aP!v27brQ;a!n&-Qb>=8dXd`^%+K`^&T_T$7V8+HyO@M`^cHelqeR@V2`m>g%W| zO@s%uT`LxSR4aR=EcfK~_gxH=P+R;xZ5P!0rPSpn!lk@GLUA&cUQN1QaOt<(16m*{ z4pSBfDucU!o1LOaB@M^7%+B#0tHP`@HHQ7z2*D~$!PH1MORhA5#MsShKW7jBNS4V% z$EsSgl#=$PE_+`(MlUuaEkPF0U+X;;!2o1a^l4{%LF~T@Usm$6RzIKMIS36wyf{8kO6Ggpp1O=4?QvQnx-H9H3nte86_<)D8zldp zd2zj@NdP05iSGiktkng-SF;VyxxZavpiqN0w8w54>hgfuf5uvt`2Yyve}1Rlm=AbA z_Js3F)LO}Ivv?w`s}mlqPqAdd+A_f(E0XCcPGxsjX?$sx$BIA)(MO}{O~cZqfh1W& z6}H~3`B?L{;c$|AROC7tnc7j*nojn}eaeZv?p+~$yS!%~!;vB{G04uT<&)Zsy(*Y-gq1{*6Gbz#TzvGK-gl#2 zWaLqCD`8?xBTDz%5+VOM(IPZ$0#sP!cZN5-w!b*+9 zeQ>pC?Fhmz0EjSjiUD%yc9RyAVI-zDfwNZ1>Eqb}#fm2M9aZeU2&w&}c@b&i4SA>f zKm6LkEA<(-AoVVMbrm`wu06&2fEh-R`*DU88#c(4QZrzm3I#AMFhpHdylslIC;LF( z;TI!_&q>KVsxTfHANXK|06Bdb`?z;lGa7mK-{M?RuMk+xEwK za3D!AIsEGU1450o8?1&v8#jA0YuxTJzTv%3j=FiVv-Llj?0LX_`<>(Kc$fbFuct5% z2vOoxW#z3;+yO|xPLWrR!k)aPwN!!}@}O=Tfc33IX7BOwDu)k-0?JRnRrkTvv`8V(S%j56+B8`X$f3aQ@6EmV`Lc0u&OnZg8p zeY%Xb7d={yxp#Pk*e`B$TB)5mM)H^YTkm>p?UK#tit}#&a6&Y^cUioqfsNiDsEZ?R zT|w&ELYm9}nHYI?3BO687{k*mKwD~#A#Oy=L-TI8kfE$PyRK^Q7^t7P-Mo*NV*(Tm zQ?u+Uzqcj7H$wOd=mgYw91py>q(ywQ9nCjaAWF~+qS&%_F|lVTcKChsyUpc$NiL1z z>vQv1Zjru`pxN>ICn3Y70(pDteG<60;s2d3knDG+bV6g0ILE~^i(_w_# z;qmJ4Txto{O2!aFTi5REe(JWj^v#0R{AJxr>zFK`&5ivptWL~h`gm3=nUNfWR%j7J z{s~7l%JLEXb&8tznN+W?S^Mu+MMf#2b*G(@gp80W{7f=PB(G>%Aa(>EcZp1+M=Y5i z=DpizoMQnkQUVJ4_7r_;{nTw3$&s_nIXgmc=g5xP{W-vs!%dd;JA(d^gho64Gw{8Y zL4B>g%Du@RtSl0uQ}P|oja5AN{iUC&IO)pzC$q1g;w0(LGOsBqYkB{~3LNo*NIRUA zn=7%xW=Ge4;U!W>emmQTx5YJWo7AOe2{EDZ_|5sGB7I`~sp){}>Xaew1*^@^Tp%F54FtyZ(9a;d?0T?+w&sr^tEEq@^65mYS)8(C~P4m)K?$YDO_y zad{g_sz8Vzd5+OQxUIpJKm1%N=L;J#Jb}9g%mQoT|9QV zXRK<3g+t@{)6ZXF-;!hhca+Cgd(NJ^%=Mccr#|0Khe-0l!TUyAymc_El8$ib$9~@8^UdEr+q?MI+X(~> zp;ZBGlvY=h+K+nLKS#&J9B8cs;Hn?vo=dsBs&Z*dW=x43RV5x><5N|Kll^lg#oMvZ zZ9g@;n#aDeOf=`(Fv(3yiW?2ufP-^LMhCoa2yZJXmQxLL=88(WOEbTew!UJ-EBlw{ zE4mT7nC_>u?`8=f@bwQ*6T^yRDIzt*ZxZEISO@#1%%by0gHW|G1yT1UzuYX27R*Y*=^Mivp6MUSs3 zq2ZX&KLck=pO7M2n(HQ$vy1kyB+SI;<7z_LX0bEl0>UeArF@e(Vc6v0<+4X%_X^{h zH@+Kl3f7N0s3W=1yrdr55iOJeq@e2vLFg$!U(Q4GUe{t_ZV;njZ?6pd8ohezmx$w0 z`7?1G!X@AcriRk=@=b2%yvhFR>iC-7WbbHHlONjAN7i2>5^r{p3(t<|L4=lO&O6wS z<3x=(!>^Xs`>JdxIRCLk_#iNGEt*!1`bD(j99FZ$5vlJY7g}(+^6y!2L8H9A{PvzM za*wQJIC|z{Y_tEuhgEwq+vslwJ)bG=&s12i43X!r<6P7yy{P>p8I_(6-?#{j2T-!6 zo^5mi&;cdm117V2ePZ#I#V%M=F$k+@%%3PyF`{DY)l`nWbgcBH$Kl@HUKw6X1w35 zm*A5jeGRhr`|WT*=ZK9o^eJWNp7&OA6__R^t^P=Y$c=<&(SQLB=d$1y%e zO<;sS^O2bQmDShrwFQHYgYF(XJ!VkGK|}t{#O*g@7y!A*Z zu}_32^Nt9sDO7VZaFXUu;@C|))uB(8jnxQk7p42#g64{C<=jZvNWs6Q$ryZX{lB_t zEBWv-y6v)E+AxW#{gSRP#yE|XXPx_~ijm+Dk(g!iggU^E|Q|6ik4u7;*?1KbUKao!W%x}mU8#%zEFithVE?5cX$cO5rWGC?^X=SS=WuYpp zOps(c=2RN1ys-j%iDCI%{!D84#p=%4moR|_H~vNqATA*QaRp4A3lOXOoB#nn94JAq zK@?L(Wh;;$nB6G?Z}~HUWf=#!=lL+KghxqESkA#@)d@xyrX^*^*o-GkTqWeRU}}lC zU=C0OPIJ($t(6|GO`-%2D-lYt2Yo1sLb;Ap^;<(Owj^S7DEugP7#?Pq!r6IJI%wXU zgvF_0p5^PU!2rwUe!CTARlN}bn~=1UkZ8un6vVH{$h;vDPqLY zL~Jq*gA26C4v-)j(AzT9_GW1yl&_7-lEq&i87nc4$SPb2N zcet>2d5HT&TteKBxZ5r9$J8@}2}KoUPG~Faq!dZ^BYql@5tOw%){`NkkwhS>m z9OVu!Q~Ujpvzb7`V^zw~7Wu3S+(OB>@Rj5rnOJooqr9_$W8#5#J>r3O=l^!`eeWs7 z=XPHp_O`#y@ZHv3iBY#}ew<#vMHXZ^0oA{*w1t=e99H8#T9Yg1$ddi&tD`|A2+@zN zzih-jHr99Tw)ahB(msNWc`i?4D;*%>`erGk9t=3gq0i%Q+0cdKl59QH_|-FloQ#L65ypnz+rRuGFNKXnPDo0o+wNV2!-!^3xYfad-zFF5;hBjE+W6A5e zRS4Rzn!-1`jM|n4l-(*;Aa5?4$Bth(?n|~GPc@q9Nfhr`gni4%`Ef6YN{ejM-PBlQ zv`7-*RMVjPTG+6Jeg2sZdI186eN=JS#6K_6IOD`(reT<-@zmOSRe)0NM3+$^spfO5 zu=QY_%xF{i*ErY_dSYnE#^jNl9K8mT6L1`amErMW`K06U#i8OgVClK08mkTZ{s1LH z2VrfJ;ddeWA=}GO(ba=yINM@hAHaWN;egq`#&M$2ZWXdTM-e0UigAZ}_m&@y7zTq) zv5Ey_@lgFx?JTgBs$OSyTy%8{Y|6ix#0ktgx@Tg0$!c*00TTu-jO8!t&lrW;I;UL> z&ZfWBc_%H?E--{|;yZFqpCm=5Qb~(Q)siK@6}c+3RhNbAIMVEp1^f+}Yx_=+NQ2TGiz_TDU-Y;M){l0%*2DW7{DS z>M_nY<^V_~-`9u@1@y0#iY<0enpGiG(!6NnTYWzcG6>RqARRk4Jqq3=47~OovpbkaesTV* zVPd5q{BK#IHat}x`klFF>Hvy#xEe}OfelClzm1u^`(VfsDaf*Q%jR=LXN_0({4)mz zDz`4m!p>@y>{@BYLftRxbr?E2g>4183&gI>^0fc+wv({f8d3 zpszuqPam0M;fJSU7|UIYkH$hTcFAPS4#eR-q@RU%TL%ZB|F~W|DkJYd(EOmD>1x_5 zaH+CBXdzg`rt2&D{f5Pjiyi#)YV)f~%AiJED$=@qA|DNLQKcC@=VzBj5c9q*wSma6 zz0kL%Hxvwfmdx8uW`)eB#zoFkYY9lW(V=dp=B~+scN*d1WJyVtA;t$Jrod_ULEOWp zR5DYz?IZo*$W8T4JnX)pCeqE6=_QNG>xZvmq>xjIBx|z0#xhZ&*2^z{iXvL{W#;#k zQx^jFh1U_>+~aSy_LMxZ6%GXX5NqJBbkxL;MEL=bH$L7b**Q@%FDZQSqEs0_pAhW7 z>t(2{0KNn4T8je2IeEST?fC1}ufErmQn>&26=m^6)8PgoXCY0|93@YZrCGEEgBi`v-B03z(CLmiMnOGz*jfBvcQ%IWLJgMA}V|-W-COjYug4*xQP( zE=0mbygHf72i|p8MA~^+wKGyAV}1yT;f?(xiJ^(QCa(saZrM_9HOJ8MeHdOVkm@x3 zyFfp?mlVUpH|K!Uz4HyUOGO?|yWVxzZBl{zUM@*^N1St$Vm;twRk@}jxkP{x)%J?P z=s~~V>yJptBiHqE8m;Jg`mCz@eu>nJ`o< zdKvfm?RkZ>@HuR65MoR4JBt&ps%`Kf_qf@GF`-ikVl>Sr*8`Y5q+6e11%E(*`=NU- zuIDG8|Gac-JU8@R`UgF8d28Ph5>(oY^kKOn(P+--lTQJ2$N$ND2ogzmNBX%pw0egk z0-_BMXXn^a#W!GLq5FQYRYc|)DS1=a>xmyz+AIZnk-x|$7Gi%1YMuzW1%If z;MvqKE;#aX6#Gux&6SV+O&}MR+Y_?_yNqn*x*aUa7SuY+|idy+I*wuExpNQYAy!XN*)6GKUSI@r@tnj<~h#D z6?tH7NG-8$DyiP{C-DL_mH1*33u@hwmW>Mn^~+)&k)8Si2-{GBa+Fuz)SOIrN$FkW zPKAE>-FEvSpEeaZ39+ zg0+Q`hmyueqP0r(0BVK?In}|Rb_udAh0^@6R9u$08QQvb_IAvJJ&UutN~T1)G|B`f z&mb?bjG!mQefjK=cpD?c_CKW(=Q?~6v1!r`H*l5^zUO!Ajt5z@7!zpQs|UwS7QDby zNZtF9C4mjd*FJkePUKE~n<0Im?fW$J!t$}FzVO0I8lhNQawm%onal;r<}^n!HLL_N z-3VW1sRx?>owEB+IYZRlOSAGp4*ZTAZd2?4egVHcbRiQr2HN#r$-$PeOH8c7CmIXy z&%IRVsBJxFYm+S8E#1T{N5pxkA;hOXGXzkyLJ|ooXn~*KS1NEcvHA!a6F!yg5cwyy z5~64fvz$WXwZN1^w(kz^MultCi}Ci#0rA**K(e||O~oWmg~kH-v%_-~{;x|EYyRI> zbMNhsa~L)kDOMXj9bt#yI0x}d{4H63m6_d&i!3z^-tDhyL2b9}_@4YBvZ8 z?+lMmx<2&Zry*L&^HDz7c!{4XjdieQDjGmwyivwt;(%AG}T7t2*0D`mGRfIqIR zoEtFp?T{|iqMfr84=j`I6z>;_b$i<|PjSH$l^jbb`Ix6S&yzB1WY8$&@s#2kF!**))L1 z>1H&=IPAin3L!BI!ZBm5%yNPGh!cO1y4xP-XzQ`wwRjtpPsj)-N=0gB z>+>W(GtT@;7*I%dZcE6LuS>N=T`UWs{`*s4%3`#8Vn zdU&dpxTWCmLSCOOHoCP`h!OP3Hj{v>a6hyE;?$Rl}HM^a|P&#P`XBe znAeTGyb(am<+e!UT+ScCaSl^V;CK^xET6H*vnmQYvQ6 z$Y?>=Bc|}UK+mSgpyQ3kz%N(};-e#2Tvt?E79h5SJvdB~8j;ecTE7z1O6JNHpewHa zWq#>%jL8Hn^SrzxLOIcBQDD0u@0|^Q5bvG#bxD)8mFr8*n-^Jw|_~%c^9M9gCC^={Zv9l_2V*ml@0751YOOA8+SdBv;->af_xDI*2XR zG2Zj}Q|c~BHVyi(65_89^q>bwAffUI*uIVjV+C-91YB>H_mRqGeJSU=c+v4ZHnOko zdoG2eL5(9kuzq)Tj+2O|Ky)9>=S0QAv1{OlULn@6Rqu1RI|;fL{lhP0(lT9cA6I_0 zrg|R-60#A=&(Nf4&+6^QbAmo7hy z3yQ||`;{=Nhd_3t!IvxWoZON+XU7|m?NuL&u!GsFznO)n@4SL}3xh3oo%yY}bE8OE z;$6iACv3*!k4c2Qavz-V2MfjQCUU8~dh)8jUhGpYql*7qf`X5EJ=s8QbjKnkj-+CZM0BlNLLAJE+I$p&V{LEm!*4K+=C0p|8T z^L|dA&cz*60N>Ipms63Er(D(~C0i-|oS`QCS_r8i7-Ujq@TX|SM`6X}L%zRra!R=C zj-<;_nTWly$Zyy$tImC8tje-n8?eC}3!F=R+sxwghD6Ki4_g1W&CR<}AC*kz$y&uR zf|betyR;d{aOH6i29M1q`8a20{qi^SnFw$ERp$qnwDP?b= z4L0}S)f#ZBzKNiND&s<~%F7cG?x6;RMF?!&dCS6M$(6O@#MOw4m3M;~{*Ox9z*DHz zeI;Gx-Jy%-q2+skKx&=FX(7((d}0hFiwLs6Y)Q>nM5ctT9qcXDmRnYV4pihTDLB5p zTJFQaYD6+|S({CvGp75U(3kp-0t5z{qIN4*J>7?n;WIl7 zGnoCAh16(?sC>neRsB<)QI=Es_poc>lWTb$H2kX_HZLl1Duv3CFW3xweqa0JYL1GX zT(oM{ud;8-mipN_D}-_Lo=v>Q&cEPPR(y2@)cEX({YS8n9zu{^7rqKYzgL*1^3TxS z!7C^DT9G;M*7~Gr6*oD~pK8${bd_2>Mr-k_l0En}SFxh>N~!$;O7z+73X#QW~Or!rjk-!Me@ zIyO{P>z~BgXs{hgrB1e94EbOEm(MR1pvZoPPw6fcKi2kGkxqmym>#c4UV?P9)OB#ZYkv-?$ZuFFzp6P&T6I)7Im<$IA?7GZ|@{I zWPsv;Pb@p`-xWI|lZWA^tQ2q7#kA_bKuB44XtmIM2yZ-pG}*-? zoGwq>`Es`khd4gO-3`M>m7b7m@_mzsP?H)*za1b}uhIXP&ehirl+AGB5&`Q=6_isb zHSl+|(1kZ(-4x?}5D+MYa^Nw8Bv1!t3*u?uS8fG-geg6t88-%v=zG_N{7U$Fb`{PQ2Zck=eyiG*toBwHT? z6-I}%{h6qvvZszEE8yh%>;$z_&e+-z!*JfMcu-SKFjgzOf&aj=hXx?M~ zzWc$1DrnQ1V+%1RUM+BpyFEc5_nU$4YKcorPMFJCAt(7Yd}tUnCwuP0nRKut@USkl zdKs9bSeoKfny~jr`&8}TS|$`&Ki_yOyB)41LJ{2&!{DOIyw9RFt@cZsvS*tT4Z6b~=8u1l@u?!E_bX>NM0g!6p~?OZt1lY4pX@iNU-L!k)vChM=8 zTKr<~Jcv?Pj!j(6%R!z}l6r2D_AT0A7qXj4UwGr)-LXF{`x{m^>1OGjV~3gTZH9=z z;mNyD&uA&8OA%xnjoPWj_OiGiCcTc_>Cdgef>bkMCd-?^*ORwD9udn)Dy$=)*>6d?-Uwg&Hu7&SitSHbw6#rT5*6sMO zS;Gxj@9mPIs6Y{_%v;TLgjoNBC+@fMR`20c3b^5|+W*v+$R9>F^S^m2aqGjA0GcVS zL^D^5o3YT9K7ZMC3Ngz&U8Gzp zJ~wQh+<-X5oja^d&|?jWr)<*p5HUq*_WW@aJA_0yCoZPxz?M-v|Q298?ilVMpN z`ZAnR{Mid+gxvgU-U~p?89}3xGe|_y6>|zMW95EZP;^qp)WY<1C99r1@M}jH6(iDP z3jRgtM|h@*Q0B!OR#ih}Oz`NJ&oMHa`g(9QP4HYILT0CF(BS>V2?`$qsBUK+QK(8- z#R&w7@}b8iPn@pt(5$tou%fr-nb+OkX~7`8KWQFPSqewg#7>ap+zjg% z8)O;l6@(kDg=?KlH??pru-4w?drYGOu1Z)ej*v#{-LoxN&$Xsfj3 zx^oAVt+E*dXy~36asME}dD47{B|0S71`{CMCo}iXNpO<|{wm?%z*G6KS>Vyv*2?mL z&=p79fgHb`bw9OV5oKR&OJWkonu>CTXOMgtm2eU0>iwwOHAYH7JASv-VKV}DKuwQgUi{p$@ zlHacmqm$CCW|e=d-O*4R&>rbmBHIizBRP}}5c5O;B(WD|LDoakxJgZ8FPG039SyKO zpSOM-70tMu2+?qJXj^SNQ60auIykap8@y4v-f6_w0(gf#_yIvIpn(#W-U~DHv#`!19oh z#`+DwAy_&XS=>}K;z9gJ9tdsZ;-Pldf!(Uatu*-GID%2zKJl+ERdLoLrpm7I zxn9#o!}#(X0@0?p?V*$NyL>rf_M|upHBiwah%d)r!A8$krOt-m?nC+te(NX%l^A-@ z=fj7bh8onk!ED!QwB#gK&)8x3nG%V~iuRs}?wa0ax3tnk+vl&OP@~*z{^DWHoFdOL zSld!f3|{n9EI#&%?Zz{$YH}XuTQ_?(*lcm%w zbdE>*JRN(rk{?L^$;?_~W_iefgHjc?c2+)CxSvXr*D#(F*L_QS`%7JaSsLC10-jL2 zxN{k_E$RrO3gZJubZSp(eHE@5jEa$#KXZ2jl@#@DR_1UFBOZZ4=v$TS?dv*S+;%k( zq&GVmp3()69qiV?Mma#ptNzKTXX@tYT$yI3(d$ZB=PP>k^1P$5@prd* zGlEVfqqu=%2RAT2X*n;$V_GFFV7@dX(=R>Yz8-=dUp2AawFPPsi==&rwf7-F=^=J| zkZd5e6;4xn_{GK@8cz-pf>4SvHs<+g%QF!!qS*aGcnPu?1cSFaR46q-|WL^zkY;^|0jw01jt>Hq-`tlqq!L-9C%(^kp}eP2!8<4x_fy7Hw{o`44OA z&ad~ddzu2?Ydc)o3}e3Myzw+q-HXjqhQDcFE>a#v;yQACQuzPL=q8#=G#lshUR$MG z?IgcZr(s)06dL%JYrm*_vze@~)|QcqZKzVj_9 zai|@=!C6kma+@Q<7sUTrraW1w7%P1>JU!JFYPG=ffpw3KNK25hEh>^Y>o7Orrjc`1 zB5AcO)fCamWA&GH!pdhW)M#&ypH;E%Zjk}}L8L2o{gT9t@s8Q?QVF{Ys?c2ptiHps zbiS&)-9Eldm;$rtC;oYm`>p?ehY80&T57dZFSHV4(J?0bS|+x1tELaXu;Re3OVLn& z$#(b8-iNxCVX*SEze#$4J#BpN1P%b+X!zmevr5D2PrEVW0;8RHBs<_A6~)HdSGYr% zwU_W3y=zv74gWW`Ss{Rq8PUF1Lo>zJ#oaWfk1@qxKh$$o;S*SfwFkTdHTBD{OvbW8 zB2Hyd67L_qluY-^ari#~?LZR0iz&C##P<6*FPq4fsHzGu%RKtl#}v<0Y4Z?eR(~f_ z&QBm6O{yq1f1yGd7{i_dOwqi2&s>6f`gQ_K<{lsCDBtqlmm%u!?W(e1=c#KY7p2d? zy7+j(-fKnX<@0BBA7i}lM+cxN+s=>G*eH3cJ$CnHrEZj2Z4>FnWk1?YU*#cvABUD8 zB;cM$);-+zrLQB6gVUjWl;PCp9sKUha$Vi;hcW0rnD1g4FH2{u6Jd!cB#N;bYj+z} z9B^Z$*)RU$FWR@i{cVqM!v{hKFX(*HnT>RdYkYTH z1ZY5%6o3F77{dz?1bA~=k@JI6v>Qh1-o1N%iV9!|kyERVbR#bY6l6wQ1{lNlaI`JP z5kmtY69XXMAC_WJ1Nh+}43-E3=A4I+-P0K9hFsAjH~=(0#{>jfhCCyJk?$cUEhimm zc^Got)ubE{=;56wcK5UUcK6fIm)HCD@YZ8{boYr*hH)^Mz((IXE@A@4o^LEQVNV*C za5C|i|FBE$EHRPRTrB`McZy&pi0%ZCmjCOYA)F4LowIM!KGneS!P(-pH-Q}g=MMHVS4^6ev%S%=_Ik(U)fxN5Nff@slckYb`SvY#(HfS>|T^t}Gb_#@o_7dWAEjea26u)#kY z{Xb8Zt0rlx{xgqo>!pP?%gl9(C@^#_heOhLfrK-=vVPWHyl9fa_(h6XnN#b@R-Zn@WRhw2%!bD{v9;aMfkz;FDga z{+>1*EZ$*RC38>yJ78w?T|hJXZj-(1#4NcUjHkX7e82kg3=H_+OOb1CQ}rocG>nE% zqvX&zB3`jK#XNP!&QxVID`cY!**7BOh{EC^nN**70g%a5WV*M3$(UlJ7M5e*lpdHJ zd$|$y##jcpggr)o7_zG|4v=YKZN{K(b*RIf_R%xE5CX_y$to{~7=sv__#Rv8FILom z)mQ{TRgEVZr$FmBpWiRX0Iw%ecLk@lDi1G@Y{;NG(KPN^75RzSou&h3@e;`U4rSGK zcf5irtMaFPh|pt<^?EFUHV0aDUj^#T{e|5`%xBt!=Z{L{MYJ>rF8EdyfSzK&J;vv1 zc`4(w^w$q*D5}F5dM&a1mo@f{s}5+0Wvp?f4LrI|>0HoLnWL9*_%Sek3@^Z$@5UTA z7{6s#SN373nwMxi*S*2!E`RS)Q*y3OQ@bpd5Q7GOT0lJYFz#DbrIOg*Px&cxFy1l9a z8QId-Oh951f{f8CWXj+{+XGg|z(-kmF7yxG19(IJrw(+}xgj%w;uOxu)PfH_kX`g^?dftqyDAphdQ%l_0l&lJ9EP2lSh5q-Wn}$IyiZh zh8Txp{aYK(L?pPAD%oy69*PGJ8iro(B^;^VmA3V+cC4Q+?D2eJTXOs%ZeN#fU+HLU zkh8wCIkLXkBRY_WbO_K6yJqW}j9t2<+-(1*E zA&0u0`*O{rME!6=ARcKrfhLmfdQ)q+@MZda+MRxDUO?yu{}BVWuBEY?jROUmUL^hs3HW9qkhjK zpa6hRz)b+R#zH#9xQAo-oN^F-by<%1WzAt0`NW2ezKt8hW%L_zI-WXER`jK1nd~MJ zs}0Sqs>rSvVGwoj8B~0cRAmKRJ&v8}{E!UwJ3uq~D4;fdjB*}D#+UNKuI3%9XckOrBX7%m$%WYe`)V6Xe zol~7S6v6j8?T?<0K?iNB$Uyh|OPy9V#&mmtK`jU3{GbJui6xzV*=qo-RgSv=Pd#4B zbPJVV+QkbMUdX6DSn3*;i5%&F{=XW8!;g3g2C(IOsR7)nY`m~z?m&b*%-(ODp!&=) z`T)e()lu7bRaVN#0TGA zdLD>@0MHFy73dZ+iE!Wgz{7Vi_rzdRH;ge+co{-B0(9eKR)8w%#wPve0dzxF=p_JE zJ<{!@24vb7My9lJeKHZhLA#V+PC>QoXMfP>WeCv99ibxM zUCPRpJ=_|SE6Y5|pQSc0LlK1s*hT~$oV5$*vGQQ=qR|2KaFETTC{#|h7blIT08DMw zLF`VR+6o5dhB`ogbcXSq|0Z!bWLn+w-XdEkwfjl2RggO5Lj@IH7bb zXO$=us0foVNu#BSO3A06z?Z5oNkYhNgBQ{91(6f*yKf-o+NUx#S?%M z`rHv@-jZY6?W$k48@82=omrR(?Ux#$3FTpVD+eVcQhlzid1h@f5jmXxI*}vTk>lA` zJC7Q3+g3RTy4m~uGOd>-#K(S8EU(K7wS7yaYbG|BDKD0nuDA~bRnbdJIj9hti8$l~ z_){$tKAwE{66I*6nK-vn`Z1rD(l?buWr%2}XAwXy5o1J-rP4z}pGxtfQ88fFT=n6< zRg!w3wHHlml}#Iu65H;Z4MtUedr_+)ZcU1w|v$AWb@E5l^c+m zC8nHe3aEKl;(&yWyzqSw2SeF1?1TC~pxA!8ii`mL;B=Z;InupjBFdRlNkYqKxNlwK zKl=;HAlYn3GSq$8y#P)ak9Q-hbV>D@D7QrRiDydnTb9;mN{ip-M5>K-gUZL>MC=l! zH5HRDvS18ocO*+OfY^*@)HVnc7}WtjjYkm~=UXo9Q_uaV8s}7g=_h;30b(g*AKysJ z4_Qz<&d-dqyHHn zi7cb6Uy5{7Sy)<2IskQ5K2Mo8^Lv*sfqZW}r5 z@M#6ze*EJf+yDOG|Jy;gKmYSTx4-y{zi=NMzbX8>3pzh^0lK|_=)4$KuH*yL8HnDw z0NtKV(N@uZL_h^N!+;dab7PQV;J`pKU_dWBV4xceY~;sUd4RV7-OlO zryl8c5(6!Ajfn)ZWspO@G1xP>(KnDUGK~pHaGgji^zS&AHy?#qF8b)M+WPtf`{ZZW z?USEhbKs5d`%n5d(PSKu>1CFQ9F%+s&T^v5Qjw-6#5fhc%tmE!$3_!wcNCbVueeA| z`l|_g+Yf4>%9!7o^7ReAVVo@Skx8oSPKb1*MP8SB*6g-yII8wS+dT#K0C~_2NUPgz z`tqk-j$uP>SIS{wBlA9OwscNtGt$KY-cOd{=rme#qBi9GiKp^VIoS{g6la&y200{Q z)UTF+(GHc(zt_TN}<*}8a;a4^Hjwp8a;swIvxo9j2#wq+(=%%zJB<*!D65$NE;ET$^C;@l{XvxW|t(>KC`aYkUHK#UB zW;Q8xeU2_1mdG&)Bg*QIR@=jw}cK&x9`NDhvO3vo;R8<1$2NCqa`pj3|5 z3-%}Save(>4wk_~jd>gd!V=!Y65u>hk?J{C5*$4#E6|-jvz*J;DP#n9lHAtB%|&Y4 z{jqKDjCbuIWhCO#0s5J))5IDQqi;DNy#S!(0rkQ%*hwq=SimJIr!WpUY6z zWqG+mVV|pIl&Y(bhkzUn2gd-cMmr;aSvJwwNMCps0UQyX29Ol#0gUlH0HZ%jUy?m@ z0C67~?UIV;^Bc-4ru>xI^^yNo?(kaxswz;cS-m`KRuOUJLHT)kMH%?)WBT$L0949M zof%Jt+thRD^6(dJ!Cvqhxh$)8+#So*Ua^EU079-XU>lKsjP)EK(YxHMt{lt|SAEyr z0JPIQUiYfHUgxhGG5=-j8vL99b^?53?u#ty96GRUf8#B(u+#$Sq;*j($M z>mb}$jqpPPbc=Qg(CxGWSpW1-|78E`fBi4}@WT)7zy8<%>KuU-l>dUx7oE9-6vD7$ zfKGxidPMJF1j9gL+|E;nppFb4F!efW6d!HF;6Qo+DS&JkKSF)^%=g^GpacL0$3R7! zGD!GjYXyUM=m+JY3>ahT7I~g!qCJrndI@+5(|)UJyJrz?Nk53_wz_=zE+zu#4(&|2 zX!E*k_apQI`A{dGe-%-r-nTVj1;`p~4Sb_wz_!~T-?QuQ-L`9Q-|$mPAK%jiiwUvr zqdq=yg=>>-h)M3tQk6c@Ww0hynwcxQx%}&emZp#ws1AyD0Kk@qR%_AJYOy$IJ!1>~D zTAw*5&O>)yX~|Jx|F(tl8p@&StKDJ`x`;-5mcNdC^Nz~ZQ{6k6Em~<6|D$I(<+Pn- z*1~BW&pleM0^JxZys5l?p2nKe*vM_HhX(3LoI1KUOUmsLHgeEAX{NOG+&qy(tZ`^C zmyRi|j-2*ZVgn8gU~>Kva%VYat0#Txq<*NwaG|o-O6BdSf7OE>ENGYFh3Y%gHzUby zD4Rc$9;ohPu>+SX4-RKrZPw{YPgB*GLk3>3N8Div*#ly9a9Xp{#vA}ajF$30dW*c6 z0IG;ST9a*q`~U^<4x|&{C4d&X zhM555uD&P3!{k;iqeVN3n)3q^^fz{NzrEd{kP*O}19q};*ek%a$`&dGUHLTA6*n6o z8XLl4HbmRfK(rJ3g6^{Hn@7o$=K$jhjWN6+0E`1bFG*Hu69wk`lquh8FS6<|85qKD zVwe4eixR`uF;)SDQ8WjGmgVC&kB%1aj+OlI4B|PD5>tK2!}D3%Y6p;1ZpK8)M`WqY_H_|MDs6w}5&{yVT(fpigpM!5k78UMLI_Mdwm@w>OB%Eik< z>IiVhlGkkxXn3&gk^5Yk|7`oq#cD|`%)E$$8T@bt{q4Y}$}k?X+;@2o2Q;Wm5gACt zUNtvC{#7|#?&pMJF3h|*KrfijG4Eww96<%~d-#uW?_QvcHbNI%r?59mhFp)96!+Bc zV?IrJ>dbdAzsLRYJak@U67mRtB;*ind>ZNI&71cA`|tan*1!3iziGeqTfgN&J(M~0 z;eyT&o!Qe%!&n?Q)s0pdH97-85eD--5OrGx=tepiJ3tuTHt+@r1Bk3Jc%(_%5hY0b z@jV9rxQssX0?>iU?>vBRv?=ug*aX<3PRH4f(bteIARBr@lpRdppg#oA2J<<2EGEM3#=E!e$>&?Xp9~XZCco8#WbF)?O> zOnqK7`8_D%SX6t=^n6JN;Ro)Z$thye%o0XFJVBG%<09Wv=d$E_sjK``>A+mhvidpB zgt&_4db#>iPk-YtN2JMqGV2{n02L*Z(Fg|t`&&)i_Yw{aZ~j@v$WkXF+W_Da-Hg_; zRHjfHvLn$z>Ff;TsOXAwdC)N=>&of5taL87ENfSe8cVS_l{A%4TgtheDoq?*U-ngN z4+qIq9!@L;tQ$*=1K;~g?I*q8OGNIlC*0*`;ZZG%q1t<=Y6Ew!a`l&1V$)3NsPB!H zP5=XkC)wpfZPk`uH37z?Q>3@_glRtjH=Om3WwuckwmxrKIy99@ku56q z3?Nk;THy8_kY-uFQud#*j(dCw=CbA<&8v^pi*G1Sb$Em9A;62u!80sv^d*ZL%d%$W z0PliPhahr>{BRoO!x+fEbECnyir%9wsSD%6y5=Pu#G|}f23rAFFwytY7u9hxl#@0cx1^e>>ssYAvVASU~9{NF24{koPhquMI9{HRJ<~vSy z-+r{?032f?GA2RV+tb(ed2_A!e9p=-_*YOu9C%g71=6u}PWMq3DWO6}YqzlmP1%!dx3%b>f;&~wIwhGV#Ll=M$fE!CX`3_@8dZf$JP6m${ zoQ~VD1n3rZWAHj@KxftTDk9zJZ^)K>*~0?B4Pcf0kY^l%0W&E$OnFwNe=kG4S!Q_( z$L)Xo^K16bk3O)E{`FJ)^v&zWVF@@8yqV^WGeB6EJy5!u5Q%+%6L&;X>6@IDr6b`s z>Ltt+Z}I`$F1^0tpcKvoAV<8VCc^AE0XGPzg$n7;lMr1+|%v=Ze1eUdQDAMTJD4|WV2N`2iySh#%iZ6rM0=m z1R41(6F30noD%n%%JrK18Br3lSq(LNGEpMq3UDJ5Z@<%2JqnL#iXyd%hKs%)9F-N| zws#D}9b+ljrDn@sE85nWsIPBLtiQ!xeT+S&E#wc+Tb!Dz{-}QA`@t=rKO8NeDwJzW zPI6P}m2v_XPaz9>F40dcW8`E~4ocXV6*k?O%LyZz0U)q)$oB##I9ORrPq$TXfT=lY zuU1!)^O|&KLw&GJOB*gD&W@V`bX${C%)V#CxyC)o;-twzw@^Ln46NTC4EySQ^ZWjOUV`As-eo z1GsT;24!)Zu(Ub+OTSC=6!czlEUlqrs~1WttL!L|Zkgs|h3ryCV@g}hUW9$=Z=z?g zqn%FS(NLpp_Ttreqq0#?z%oD}_KI@@>iVMm^;3Dsm3c=_oI4$Tt8t@)~)>RR!|Vz`lgDr*V3DctD$%FN`l5D_Xh&y0Kpy(ON`v z`AaOow_^g_>O}exZAL`cQ^2hP|EkC}>9xkf>ac?iFM9>JRWDabgSvYpneOHORlV#Z z9hZ&f7XWS?vf+T+ohSDBO#rw1cKgFS_CTK>-`!m9b$j0#P|g824xUimm{(CM$_>!U z))e>y$2CtqY1#|AF@Fu9=O9r^F-PX!I^af72lHq+=J?FB`M$m~h&crFXY!{U@lrf| z9=;2}t?tJLMcyHgvo4ot2d=bH_?hro0NnuGzW2TFIp`L;aY5&c&fK1EP=H?)J@~i? zpdpsfh4BIqU^9M<;CUeGb=W=KqTMm#^*1SX;|^o=XfFnj7%&bp7`-e-`6w3~^v8Z- zr|o3SqYx*tQYQx0D_5@A)vH%`+jUiKOaDTC$dWdUw?{DF2a#_8nK8H>cAz+l{;h(T zv=6pfHZkKWxB3#j1}TmB`B@z?h7yZ5!fLoT$!;@*+B7%4X84r!U9h z-lbl--C4FbjyCDUJ-M#5D-kK+2dNyzL_C)B$6*O9RXqsdyyk2g{r_k0zndgWlJj0T zQp>7pHDYHKR%3TTXkHSak+2su8jYk;0bl5TCV=1{Fe3 z@t#aav`4*NP0fwEo~@=`4ir#g0jC`$-A|oJs=W_lAT{QsN*c4-y5x;>3CGV9G#X)IYtWc5kK2PIU;L@ABZ zo@9C0k~n}cfJT<3l{z^QfyQ1~XNkf(j;bo>%0@F?m2=&jkJJ5;oWltx44xm+1-+MA zqwWOQwmp_(I+36*i1JcRfH9?cHPvTT_k*5v^D5vUqbv3hYt%}q*-$^JYrIv}0jl&{ z={A7bv^=os{;iyw^G0gTTB$Orr-z(yyQf?<##bfsZ_Al#t1qAoCKZi~(&N5-R#5LC zAsfa`t5Qwfs&rzx;(gtAl>p>42vO-vkwM#P-N0>WT1vB##@|R|SvqYfopu<{)RVDA zo43^FM4nCt8drU_xpYzxW5W9!(uNbY-?W_fYGY4G>8ytIYeVC{#a@xT=+ON=jb~C_ zzjZsRoAiGFk#zkw`=Y7URR+<#4S+1^p}F{+YL1(Y#?}?ggy=$|&DhZ2l31uhrK0vP zBFvB@&wI|4UgJ;%WQQJSE*uYu^ip~18)uqdln**b7eamktQ|~? z-$UU;EGEFJ_`LYcWh8te{3F@}pM*qv0A$i8my!PRFaI+A@gM(jdh^XU(;xi7A2_jB z_hP%epy!8PfNm!cfIxt50WL9+BVy}$ptFD;q4)t|h0gDIRCp`G1Vdc_-k4ZIzU!bxur1n`c4Oiq#ap=eo3i=+Eaji2 z|E+@nuv3+L^mo8B#%du?e66C8{98T^u4U(O5R|; zr9_lae=;_}b5X?7Mk1|$XDgPcz{LuN5`?9rp%(KRQxt6+RIfU~{+U`ld=rr`h0gArIGjVXsxX=Eh zL+guZcK1&u_H^rNUfxie>`hbu!7vSXIUpf}cP-5^T_V3UZ;v&jzz3k&K?)_l2*^Z8GoSe#WsH2tg9#{r85G{r zP}GZcgAaH*tZvT|A!}q#UkvbT70?TcF%^A0+BOpHP2Nmk0jSc({Jm=19_)YT(neAj z*}%w#_0Ii0FN^r(t()n?H!|SHQqqrp@u@cu?#Y;pr6%t8x*D`8fH4ft{RB8t03;Z> z{D(X+7{kD4qi2I!k`aJY@Z>gA+j*asLVkd50CqeN4;ZyEw(@}iGJ<%^yqKaK%5chk zA>I_{E4d$NBmJ2TYVnG(PhKiN68pyy*@f|+Wl=nL3{ei{QNHso3~_iQ@rIoJYB=?b zx8k){!@!#(+$2Mm%~BAYI=Vy81Lhz$b5B1--jY3X$BE!d!7f+%m*spUT?caTIsNpw zC8|Nl3Hj9}2Y}MXhMZD4aALxM21|R1JnP9prThTgK9{d$ngK)hgR5-R(!5>vzGm#h z26;nsB}cc-i3F;o=1lS#m(qX;H#vs}_LMn!HM^46rX1}md#~j^(w1n7Ly0Qae+RN=f*oi#k30DRgN^-Wy? zse9-n_0M&1KprGzr#`RGGXR{5%bKgsu4ge0Pbv?HrCw5BD9cWoROR@qZx2!iz&|%= z&Q6}UbOp#_uQWhO3rT={KH*nBOwMsAr{@08#*X$d|d5`?J2!a}SJ=7dpf9CrS5_Eprafb1!osA#;w% z(ml)@K2%5d@L8M{B0=6+hgECLg}IKN|HM1@@I43W&{m$Gy-ZRz)9%2a8+L%(PW*c> zQ6-2v!5dL=%ysY-zdNdnc?Dhy8LdQO6!|!B$-r`;4#-0JQx0HTe(9ENk%RVz=VR(2 z8F>EYdGjm%L|ak_?SjmiOQ?6zj{D^n^&&Ax1DYW>3t8kgir-xZ;2_V{%!^M@t#{p|xA@(P4K-3JKE?*{nP zj+Eg!Uw!3?xyWp1zAuWfi?PMAo3UL3+*#)f@I|sMr{q4OL^&kegi820@DSHUUVkd-BA9a z^hxn{f$z!ZX(^C{b-So2s`DiF%Zo@iA}*;&V{;>7e+L1$;;va16~8#jurMS27YX)y%ec#jyOXnNCpPmlnerjcN_Lx zaSmkkv)MHpbkF8;cvK)uSO;>9C=XsC19i%4zn{@p;S1-(b=7_PjW^@GA)o2qv2Gpd zK9+v6XVOV+N#5|?AabK!_u&kans|}}2S9)mkF(0YZR}Na9PorpS<+N%RMNatNz;w8 zmxZ##k`pG0%CV!ZHsm0N%2@8+L~>)5lRkSNCCVt6W{;-!jiyo~_0lvw91YX1=B2X| z!0qO>M%udCOnnvlVAfB)=_GaMHKjU&OVfe+&QN_u{5Z;uz9bo(6e&pb+{T7yanxg07mqBpO=@QVu%geL2hnCkIRTIiX0i*EC{Mj>zpXBUx|K${ zT5Ebgw}<^;olV6*q-dy&OlC(^I;1FUNY`5G>8%l$o z=B=Gs+UuzgNmd4|i~H6=@Jsu&(WmMg>`&;u6PmVY{=zlEVtd}aOp~RA2qTc$t zo|agy$_cdOGajlB55%v=8tr-5Sff4YeZjBEjPH}K^?eCIU-wC6 z^mlZh60--OTwP zlCEX_7Ka3IJxKH|bR>WoV7B|467$zgI-R+LyeWUUm%$cZc6lCBTjn_{gL3Erp3VG? z^gFy~8Q8WFFJ3mP-F+hqxDTiuw_Cm&+(#mWfBY5P7hD1fUN1?0@VD(1BIm^8GQ=|(;L9(y9GyqBrK9xn-~PTra`~!xzW6(qt`aF&(fFtS7fD3Av3E5#Gy8Cn;zjgXZ1Htc*!AHrM+$(9Yy2Mf zE|Y>hj+DYbSiCMK+CBHj^QViBJY1EK=U@HRU!_0#qd!V-z4g|MNVk6k^di#j1PbLu z0)QhifQc?bxjqj>-HwVhV&I3YxesL)%MD5VjT}P3G3kV&yJ&@b7#&x)XO)hMbc;#w zv_$*T&&e;svuRh#z+fY)4G@gBIz(NF1#Xd6`SI?y{YDt}wO%7;{QoD1HN zFE0!1*{OQT=ic-&c(^VCaAR*OK!cHFyEj*VSmXX(M-c}LY}K1;ySmDoq~26* zC9n2;OZ_~tv~;tgaa6AR@C1O|^Qb#Hk}vJwS3jtfDrvLYOdIt^n$D#kd}P7V!7Rw5tToIKm=4_9h=2_w4VEQeUY zqDGd%O8}C}T=TbBHP43#if;hq0QwjQn=Q46bT)d4Q<>vs!2W&G6$aVcx{m`A#^RF$ zP?%$iam}2;lFT_v@gHekx7`m* zI#2VGb-waMF1)Zg3N!-9N57!Ud6_|ey!5GwPnIvT)UYi*Ol79(=hpQ_{hHF#9fK|$ zprd(E^9v_dvtJzLG2ePKf94A5Zob=>4YF0)%pYMBFsE=Y@;d(WH5^|PNHmUs4aBAPjThNRV3Ao{Ah<< zrsibL!)?`x6UqIein^)&b2MA-f7mYMi~L#cNgtuJQeWgrO_A}N9ou$}RP!ZtpuExt~2KU0Da`~&!k7w7PajU6ji_)H4GkY^VCf(SanF9=&b z0xp4ujlF zI2Mg-rQsfcR6Yfb`!K@21e1J}2L`j3m?%$xzSvvEK%4rG7*xL~96lMe^bx>2q5&Ma zMPz_@_ZxK^x!IsIsE0%5|Ge;sOi-RVA0>=o-p0@Mm&YKU$j3bA1W&b$-tCy>(TFM8PsOS1V2(XPMsVprmO{!@;D5c&0 zOk+v?d}1Vj@={ZcH^w>3e*wzYN#sjgkShQ<@~3ok{Auh`o=23Uvg<`(`o&&6-ti+<<3{6d4dK>0KO0P0Ck@gS{U zR~{|RBkhLlVO?2L&Or|J5@n@&Wk7@|CO|CMAYW)vM4l6^m(WQ$dA`wHLlhjm>Ed~a zh-^+EB_f#@JIrf7z9*a9>O$kByPe4poj{y`6{gPafl`$GSlJq8qMXKV#sS$2Bo!@KF@UvTi% z&BQ75pS^R-D;GEv>%px@UdqZ+RqP_$L+Tgs8+LNY~a$RUigXO_eFifZwx>Z-;xv{9sUdQ;vVj$zeS4j&q@b9z~0w8-N?Y8$Qqr zdOqoy2Hl{=&*wqpk3)`f2+)l|jN)NXKMxe32Z|8|3&=v

Luoeq%}F_V%{#MJb}p zPz;-!oBPW5yg->%DC%||fX>sRnCNLA0mL z7!vDl-}7oC>dD@1w`G{|=Jd_KeK-B|f4`C5|LKS6_6PTT3_d^)BQVjXGi&!?&I>A14qFOk1*SZnn}y zya1B*l?)gi@i^TVZi&X&kQ_L%ufn~0h9$NoeLtxdc@24kOI|1Q5=3NLeXE}8SEWM% z$^eDr^aHqEYsfL1%30jge6lOUQ?l?u6)FR#cae~JyDKNNQ%|Gn%!eloXOfNXTb`T8 zM0*kS;w52CwPRhnVyy26YQvtYPqZC}IH=x4uq+||&r!K9;Wo-?s(J&s0SKLi*W-xI z@`>(gsXq-l8Fj|u(sh^ec>=^~(~l)bK)3!=0Nntz0Nm!&lEL7Cy1t<>GV)0QS>VlY3!}LmD<3obXvnBk67Ad>ru{U?LH1=r2HhATRU-IxEQc z6*3@ljj=;NLO1*6hVG{<5>m5PGT_Eb3v?;V zSpi|l4{Q}(3TOk+#PltO@ zIgwLV0alp%)&sa@{*WON=K;8p|FAFJsQC#{4G_(d+Z!!MjWMUz0Mt|$>WF;JhyEwJ z7!b=Z+5jN~aAS@s_9|n^s$c%C#`@8ud}*8gmw1|QZ8vD{HJGTssV{Rik@Q{h3a|#B zY?tA!Fx1|>SOJuasIr*1R+ahZNJ5-V)Hg@@MI#Yzd)s+$H(sU!r~$aW`=bxiN3Va9 zK6(45w+vzX5Kf~v;8wg;r4J)pRVCXkY9j{SsVj|=_ey43?Lgl(RX)R8Q>!fwHk&S&B+!(KH z$jkn0H{ZMM!x29C*~jULoYqS$OI5NHzQYsyfCo+hFHdGzRIzYfsS*7 z(-RSE0Z?JQMhf6993&^z@6e>*_9Nu<+!J}JjyQ7|n;8APm2W7)kCzDncJW+1i}A07 z(_^rZEA>%6%1wC|y4QI}8O62GnbbWDT=s7(s~-{RGL!>Olp6pW(G%VuXOZtBucIi- zG&^blQk=BPK@0;u@5nS6>fs3JR^Ja$=nb}M3;5Fa4dua!hkz)q8(-=k_HrAljsxX& z(*A9W#u>I>io@OF`)8zZn?QNPlE60Ly} z zd)h%+r|6-mbHNk$(tiQ1$-Ep(CNVx4yCmvE!uP{IkL#k(5q0HCTOF1TQhcAsiuzIk#Bq(p-=w(bU|vyf5bg0S zfuPg{(2f1v4lXZ!LC+^Wvj-`};ET`aMWF;3%)9p%wL5q2 zq}#V|TR8!?pj1QQg#t!-@qHweFW+58Wfnx;p0|S(Smuj@2BZR@ip^VNB0NYjPH0O& zHYO#mF?OPTV=|4mS23xcH?6CUF!p&XP1M+(kM8-6=V$NUN}qbk!JTyf=0hj;2*dC^ zXl$MbVQhN8wRS_F^Ek2VAOnJKtxWkB1Zz{o_8 zS|sRJ|I1@aI5Nc;=Xd?cy}pMlvOMH(>Wq`YUU9fqB%*Wd#2FaNj>%~$WLj_6Q@JSz zQilCZ{d6#vp2oQ=c=5gBo7B)fEjbb#$Y6jHdFv)>#i@7oj`W%G8|sUmoLDwR=On>= z2*Ywb5}DR)tBj7Em9`w$PO-#Dd8DyE;K=Ga8RqB_z)pTYD*xtIJ$0_jh~KEC`=dd6 zFp_fy+IdRCy`>$yje6Q@sZAsc_9N>}s~$>ME}TOKq&(j>OTMk`6SwljdUYA>D5M8 zZ8rB(P5L^3i~DN8|S4z8+QQA>LX6qvQ2N7nSisnw~5l)izX|lA*DcS{|$p^k` z9C|QO&e9hwmG1*=9MRA8nEORn<&$R8EyKMGMxk3h&lUF)jmPp;_M+pIua7S0qBsY^XGmNP7war{$W#xT*g}1}=-SsYKn004IVxzr;~{ zA1=N#Q-0|qIcgm6*#{887y3?hXU>H$eq&pPc-h8_HvmXLBS)+gwWYKOYF#8TXEB#n zbk4{koSdE zALHurwBHX3&{Azo!afNZv!7~ShAbPQ`0T?O{CB>RXY7gF>Si#Mzw=dp7oQ!ys66wM zVI=Y-;SX}^BsMiRD+wDKo0{~zQnUqW5foee9BJ|1qtarYdF(L$AN!qLBgNk#W9|)N z#SZO(Z*AOG)QLnJ#UynYAqVb9 z4uHob{-*5#*#M9^2^HD!cjR{ww5~R?;lC><{LXe_6W%xf=3O6@z+P@FJ>bn|I3w#e z!jB>x2;OjSTw(t<$yEj%#v6uWUJ}Fd*7G&E4e+TgF|1iqdgYZX-fxGuzmM+k?Z4fP zxA`O-8s7G@yvX12d!z&RWXDE&lC+?Y+3RNG`i7U@;B@cxSUyTW#5g-WxD$j-*~6`S zr7e%Ynuf}#Uw}sDqsSN41fWK=0g+K#dS+8bbXhlW!roL)fS0zaE$ZU6bEBK4)l%A( zJa*hJr(>|umh-(SL!G_cv|Wv@Yi-G(R`)W}M~|p`2LHTo-6``9LQk+a-bSaMRMpf=(lfL3 zivlAOry{XX7II<9ty;bKb-jfA=tC@-q>S-g4s#K4cwY58ia15`wdQ6j&C5Os7jWld zImkqr^cTvP`;#`R^r@zLyKJO1(s%0b^H!=)8>v6ieM614C7tYb5G4Wj#$f{-ez93^ zxXt?K&@UYUSy8Pu_foF+yi*zI*k#Ew)wA?xW?g`>juLr|q-ReOA3Clq-Q~H>QEJLl zmxJSinPxQS^+yIKiG0m3Ub6n=MFUrsnRd3C8r!8bN7qYl2higCcwwWg0VLSVZ7iL( ztGQ(7uI5 z-2m4>D8Fd?umt8RmS-||VRI3g$6jtRr=GVTa}@c&AK51?CpCa5-3o7jp}Vq|s2AX6 zEJ0<7r@zzRv=?&D`P7|1u1;Sc$pu5MffDh zFqWdS#SK^f#{Y~JR^h7zg?u9g@eI%NT<{Qn>f(J*n>;@#QKyeT{@9Uj_+&)7k&xL7 zdOqnzq}vJP2~x@d#Xxk?g9i^hAV8v@^+>l+W+*t`4vyFVv?lIY1fz(FN)6EM$`cVap%FV z_ip2at2-axvmwPkZk&eouvm6L^c%pF-=52OizN@a8|RRCgGcftkPrDTf=Nr0^20C$ z;Np!cZ<2GlL_MLeaybB9y!AZ~hXA4-Z7|A+#xe16`Yaof(?g>C-cF88SSL|WBG9}6 zv&yN+;Fi@RV~7J;3b0AG6S6oh5j7A?RcpL~mg7bMSzm_#SaRHtj?lfdE2r5Z>$%#L z=n9rq5qXi9s6>>KZj_9was;b#G6%YUS55}|!kvng4S?I`4NhgPrQOju?WkXuJiG0`uCOW7#~5j8_QsAlo4C>9| z%bMD*G*_S1-zvVC2eN+hmG7O~JT=SJ)KzMfD&E`8(YyNIzoXZr<48W}RDb91^4#XJ zKGE-E=^MbHc*#_dqsf$-%DYV&YO6_4c7hTwSOP?e!x74pc`6N5y4sLvH%>M6-k>7N zYd5RbD-vd!Nw;OtEMKjAU36ZKiT(zl<8)KT@vtYSdT;1CP+3_vqk(J`>EGjYHY;2eFXWFV}^K3?NIXQ(WApd5JeiP#2K*3Fpe@-`U+$ipRLC+h#0NqX?@<$l}3;;?2 zyanh+WYDup$SmG4MD!Ct4j>FsZA2Rd7{hmfZmWSYM#Oa_It<-y+gfY8$W7CN!jb7pSIclzO8j9|DYQoU72sx3E>0tDP-D|@8PnBvEe#~Efo!soz9-L9 z$;C}xO5Ll?bmirajP*v^R-12c4`fuS&E>cP{E;X7yB$}5+KnZuEu~>2r9GDIRr7Ox zwz%&ks;f`8zH4aXg`*HIvPzn zgG8hvOHElKybcN=3(#$|)<|1Q)_uI-(wJ|T)Njku!318hs$KdZgDIMGMlmgS-VO1#hj zfU7C*-h*E1J?s?`Luz~7Yr7HN$(LtzWxECUAL$QH1m-2l?t@)N%)!GlgucuGN485n z|0*Bm89uiGQ@RatFFgVHGa48Bd*x-V+_wr*CcqvC4YV|u5a|T~NE8+?`Yih>qqu}j zC_6`&RrZ%WVw1%EKET0IW%(cgfI81(XQYr1WfFb2p#*rv9%n>{d2Uwz@Mqa9Sr+-y zmI3^7bvu}Hp1HniFWpCb`6O5NW7UK_|?~(TI`jpF+;sx z&|}KBUruhng})Cb_d%rq;}(Ir_#Ama0jl9k;Op=^J_HHhD12DAz0%Vrc*h?j{r%tn zefqOM`!nzD_8( zM>#Df6c!*%L{G()`aX+*8$^86 z_%`XHY1uZS|MFHC2L+?{(cSHI`=fj5qt`!9@Bj3p^uf zF{XGMi&2E}sMSQ#{BFE1q@pQkd(l6J#ktLi?03EpSgS(OvYvM8KC_MQPmr45KIq3#uc*KR#k z^oUX9nMLL|}3AQy|8924?4plRE(i zVTV&k^FDx#oYly>KyAa=>q-V2N|mWbqq<31vS>^-9w&0}^|?G!0*@Yv3ti{B&WHJP z$q{P$UC;4sNqVX_SHCaiect??5=+)AbKR#ak+du&^(mvHneT6E{If6HOge9_?|J{g zIMu)YpEmP6FFnQIp*KMFd$I+TF6b`$8h7qy~vjB0?=EIa?-s3P0VrR zZ@YqWMCeuWju$WnK9sNLO(pb*pH;r(=ijQ>G%)QfK1bArd^2E^Z3AAwNc$TIBN~aQ zE`XqXe=Z+BJXeZmFZ%>I131cpI!auS+aMnmH6!_Q5+Qr@E8b`uUb50&*p(cvz#&{LIenxQ2QmQsd0FeuK;P~8 zz=lWncGC8}Z9g~DSmwmv-lKtj%Lg>@z2&R^5HEm37WCcdPyZN*dXlVDq>D-6zu;q% zu>a$8_$AgM#j~{A!4$;r_&NAL=#a>Zdu-Qh-sJa4{7vGwY@dEUzw;u>flqwyPe1+C zOHA>9zVn^$q;G%w+xER*(DO;pWTaaRj>W-pUKHgpI5=$J?%lfv1zvvnGs+hc>XkXeD zqW$7`CL(|~t^w3NZCNbaMi@yLMi_`JA7zh@Pv5z@znt{ptw-5Nl7VC$f$>-n#$Fg| z7_J!E)IS?Ng+o9p3{Q-)a0;?fsOOY02;qyw{oYiVvQ(6v5a%Pg>vs%sj6jSn_Ik;N z*7>SijA@oc08qgTj+1#)vLhuUc-1%N2MJjaG1k7)@rkG^()<04R2ETnV;Rn8tu}dQ z16_{mhV;=^2K3|~8r-5jd4HdY+m1d$R0BN+AP%R6h!W2e9uC>jvBR~|NHyhG?$pwr zp6BFKoXBN(HQ1&;#76CaZH;C%v8s+!Pe&>%HYd;hVfl7vSx)C#Gj*=Fyj1i4c<9aF zk0aMr2~frxs+VgLzMOC({B-32iMGc3pfXE4N%d69dr#%QaaK~(xP2(;Y@c9bJ=-C2?ZugOSQza}?i6L?l_g zEXM>md05WToy_IvnM*=|HZRp$N^%y|r`S)8NV1*T$V-jad3eETiLpUsRY$tNU9YM4 zYaW@)(N>tT=NCipgxnk3tvQ|XoQ?kG)kr8>+dym;U+ z6?7sK0DES7A^^mZ4kqH5c`)W3m#;AmfD(~!`cs*SHT+GeL(bt71^5>LU|ii#mCmbOs6zxA z{KG%|L;CB#{_FJFXP>2i_wW9l69+ZEpy!ibfNm#H$+mdKk+LN~? zv1FL6`?75W5Vn1PH|^ZpNpJoAd+Dct`9^yC@7~LA8}IJe_*{o7h%zw**`%3e z5P69~-JqQ(V;Ni+gz?tWx=4SIHO^Qr!nQ@b*;3g@_X=rF^U5w zgZw-Qd2wLE)z_}2=2kmBxVxJk-rKVrR;6$n>O_CZ@NHaar-qDH>|LUeaFQ%*rJfu! z4o0w}a|FRF4h%qEnTWZqW}34kPBI$EaL3VHh8i-m^O7n##mc8EBYIoT%k4*d-Ye~_ zRH@6+ez~2xuc-azlXSm7NZXowjw5=jm$w0YRGaBWt(8W*uUe&8*RyDl`DC>#0_%q&p7>22Cy-v2WS6Qq!s7Lj}rdCTH~axR>rIv5(r*B*q6P zcar9EljzW_N68E9@d zoksmh+IiTQK0l=INdW{#pbjRSCeS2`H&K#rt_lch@u@_<(?2PE*a>QZT0+ zB;-r<6?t^GT50QAS9#UdE_;rw_m&g@c54QHC=ZZ^{l)^Q0pyvCdD#SLrnJZ56Z!AO zmuko~A8e2hBH(-Y=$Ci;fw!`xP0zN`MR_0opz zF{c~xIbS(kqrKU7-JJy;>;)}Np_{ly^je%Ii;sj~gnxu>POu5T2jK@TM%HnS6j65g zRJ6%?v%@L^FX;KC7ogh`ME(E+3<`h&z>CWa zx`jND4SbU#l$9$39tDJALCG*t0LHPu8%iqP5QGwXmM4S7cB4-0#TQXj&uYB_bmJ{a zypbUV1%OKX#>B&w#C?~o-Ur)=DAN7?64jM`64kvOABsR!8|l+`Zl+J(`Yhf0;Eus9 z4CQ6tgfBzL2*Z{)*?HMaeq+uuO~37yF&3K#V~AmJ^L9JS9=#+Tr7Hm*5mm=?mc0I9 zh?3xWRy^aSr*cXR{OHGG7#~f_ha53neRx5u;e!kE+hCS>$v_-nj1-XzN^7Af%5B&Q zsBto@jAD6b2Kq?HfnSS+qej#Ld^_qve@7p+%=CRpZ9(4os{T&-y2Z;wM$%_ChNa_9 z0M6jKff2vaNYh3ojr8|OL&qn0E<^|{60EqsDzL8P&HQy6OIR6C^{(pQsr#^lM>53s zil~Rv5PY#W8vCx5uc)7G)qMKtp2o&uQDgAqy{eR0ZdR7>R8?xtE2*i(DZPD`5vvWl zSJ_`M@3(e;G)y~d0*#1(VGlik!a;4C24Y}B)D83UiJkX!#NJVxa?Uo@ZbT^&amKz} z=S6u*XUU)&OA;GOESV+R4e;$E3BYZ$Dji;`rH>x$t{u=^h4OOdyf;{Ftg)a}(dY!s zVeF37F-Ppdr#53xJWiT@8iYQH@xq}hj5VU6dTP&}Bk`8&uU_V>JcylQ2`OW*rfYq! z?^sf*p-}D7)C17l{4KEOgnvFxZ^BIP1#&Njqko+@7UsxjP`K2!=o4PJQ3(A1n)77ud{ zRFIA#l9na1o?kp~NiWp%a(id5zFOvc<^t(g4p@lDs)IxsIcivCz!wGUd4MyrqEngR(nIQWUvbR!zj_o#iiZ-3dYBLZ`ObwnI5N4;Da zTY_$s`zZJLUiuT?DSeJ~zqiW3uF;j}Df993+1@zV|G3BfOKsJ}9s|^k!xS9BweG5?0*C+nYpOG2uZd+eGy`W6=1;zpXF2M!?x)EqVqD{gliucmm!SX%Nw2^Ddiv3ie&khj|K{KP8>bhb+w)5=K({3cU?8G#o(0ei zxiGK+W>7%zPvWKX0JTN@H}jW;)!jgD#~>V#2q=fivHqhEZQK32-t&(fni+uo>{H`F#hj{roh8l&GJ z*?1p#TQuknBY1(w%!>?+>l+4-d~ieY7B=fh<-`ALl24Qiz(=`Vm5Wo?@5z`K|LpN| zn)bl?X%KyYaTyLv7^-dni4j4^&y-F@L+j~jK`aR_rM6^D8qQh5y1tF@52L)K6W}68Y^is786x|DEep`BivZlN)!M05 zs-?H@J-k%QO52s1BfVOwng+c|8t!FB6deIj+Lq(mQ9s$6j~!*Xv*uH6PeUHZj2q2| z8x7e$($SB^6VZ!#f47r~g9?b2YpT8gjP+3^O$S8Wu)Ixq=zk7AU{5ti{K@G@XAwy| zEtZik3rLIAV%cR`<6OEHdo7iHI06T?9QINpgD$#C_Fg`!XE_7`P?Xb*=lY&K5$Cm1 znpLG+EBORqmY%XtTtoL%rlmCAQGIrJ38b+seuEe5LH)s*ELDmJnCodwNFRC`t@6qG zQupc^J_G!5$UoBx646IQ7)xUN@&}HX^Uj+%a01(j)dP-F6JLN? z`!)+a7xUK>^`^b_yt$@LTzB24x&zPw%CRZ|Iq;ch`OWj8`sc8pmnu_#+Ke)uXfI{1 zQu0Aq=C9$s+4hJE)Z8BBg{|@VKAidV3q<(w6%cUYZ+*6XSO992;mEivoz&5l2sr-k zF8;00@Raw#yPS6X)1(*+fNp?S_`LvEBz)Tau~H=34&MnMdGQ*_eUSDQG4}AC$S3@% z_#9V{PwSH9+J*91aYp*ZFMg4J@{^yK_kaDb|FzR)#TH)B>h#PWqyWVLx(H$*#u{t} z8NeIB)McTN1$;(STSTwLM*937piJ-&u!iE`e(pnY@HZ(G&9kiFkw@%t1_(u+iTLv5 z_zcyHwu^~?Hl;pXsUK|%(O&dT+Bf#(i}pRugmBTc*hUpLftHh*WcY92-A(sDdtjiA zgA(3T`sj^M(#LOP(2ekZ8*1leI4WC=Qew|G{c4J0;sliN(Kt+tammJR_xoaTF2!fBot z5_Lf)D-3cJSmV zRa=!btjrvh27na~I-(-s#QWsIQbmrx91Nmuh^!gu_d$O15Ad0zY9wQ1sXR+9^;6}? z2K?*^whjU$?8s^25CtNch#FcqAZ4eWc2H6yq-jNRo@C%RDDu4_p zUb1f%QoTsh$V-h<)lqKMc_rP~oWAZT!c~a<%sOSwt8>{9L+Nq#J%DH;Ea8*Az*-eK zJ?gv~WqKm>{xoVpneYS<IQ~qh%k9z^K(3_kjN|YY*^*mABvq)qOeh7fX6}?!N@Ht=s zzz$$7AHpEkxLLnX*#A*UT4Mi%R}N|5IoE;PbYJF$xe0xWZpptPpMBCj@a6doUieP> zojI$aIm>xiKFUXV_&+if!H(x!{mwmrlzf-xo4l;h?C3ks`R1dTTP2_1^(4x+R8bCn z75!i22S`Qak(WD44&=Sxj(W~|6?;Ip+a@6KNB()K^3Ou%+59TSyjRS9knMKa2SlAm zgcfrybFl#@UIuAw4!w6>_64Yy=jA#8V}3zMB8orDn${`mwE~e3e9%^u=e{7D#mi(h zKk@QvacOQup+TRkx9YKlJyx)-Vp+KYCx?V$3)?u~XbFswO{XUv!Sjd?2Usl0lj zn)hAnw#+M0i~y~?AjMV%7>qVQjDlzQ<7Fy!^8pOoj}K{J@8Nt*$2WeS`0#n zz7hQ+h_;IqpxaTu$33Kp`qW~gpSZ6Szeiep4n7H>xPSk?qx0bT>tFwR`r6mNwiaxG zasmec&?BgUedE|7ixjJ+xCdIs*C$U1-T@3_pL_D=N_90ro^z1}SxIm8(7|fhDAzlm=gH+RmwlbIUa+ z-EMi7Yx=NJRjQ;>0(6^t6aIBjN3z_!(oFSEHQgT#l;oI5Ppy-PMrz>{(Owm`my%k- zODxY5bn9xK+>#D$O20l*-L{KpsPilF^TY_E-J7YFIwd&_YV(`Y`4=5&cN}equPfzd zYR{`_TY86NP(@_kHJ(|P2nb)U=O`bD$-tX*0f0YCUs!7P<0YM*gQa}j$6sb4PWCBI0JZl)|p#wqbqg8kk4%oC?1mN&D^6yPr} z>C9!04wSn{=wPv7;JBrBXh^5cC+a)8AKBB7q&?EKq@?>BZNP@QYzK6n^qB4)>`C{s zXBNvzbGAj@q_34fFCsWxfrDG5P}AH|w#r*F$)x+3GkB@MJf?4mSWAEs((5DuA?EW8 zo;*p+3yTqFj%w2L`S1mOBb}=bXFw+Jvn4HeNIu6Aa>_5W)GykaCs^($8L(eyUUHgw zV-BNFdmdEL@Poeh;R|Y4<}&6qc)3Vo-iL3Zrmzi2d5%{<72lBzS}}j>vzMN#Jz~Da zuCN6__fQ>jQhR0AN2g}DsnhTloPUXls`7lAy@Y4 z-MrTI-h8>ukfVNMb%1QJ3=kGeS7qa{M;_l3@tBuK=l=SSf$)p)Bk+w_F~e3hv~y6j zpT|a#7QwOjY+F@Vh|iJYw}aouch<7JIaj0MZ~jco2gVWd%Zwf?$vY=tf#p z8qXRrm{Gz3y3uBUZqEuJ1<}4t1`**#JJDYJO;j88qE09%+8TNm>J_vIy0Mo`d0b8X z`@{6}AH11f|Esssz0V%_?H-Y27ctfk5{6OU$halLECX*4$HHTft=q`P5cGaC7+wbZ zt^s-T#f7dmBCs~iG@It=Qu)f+b)HsO< zIZ}J8le*V7Qlr~`991Xs@4i1L`e5#b%B?6D=gLOCjBE}+;4N@~b?_cQV`EFkqspkr zc--9{q+OO%iT|@w=UO{$y|U?i@9z!LJvnHHMSL-A;2LNAij3YXDt{_o`;XXYdmvtM zc4w(|wUsts+f22sX1c%IPxpBfen@`HQtL`RbzWBg+N?U7>A^t!NnQ{##CgEUy&}i| zMx~Xy^GbU7pzjm_^y1LqL{aKcs+ZD0c2vJ19b#WBT6T46Z`9=s6rkHcG8hgFhOLu2 z>i?TWRjSWFm<`gy`Eco_fU6J(C){YYed6VvK`-4M_S7C1=S$j~qt&eXaE05Wr+>HtfY^<8OYPiBd$Y0I z_|YMUbJR-}pUV1jy`9F})3kkWkoF#pvJO=`t~rR%yw+`{>(Z5d>5==}vd=V+otDt2 zfJ{W(anfi@JOPIALV_jj$B_?x(KrHhoAsnCdKpLotb>1aF2G}Rv!2>lW%KD8I(&C~ zm>%5gr5#-lR+HZwHQ9>*0pocp52mT4G*TJ^z$x#8)algaL`k& zL=I?R?mjC45>?gz0FdG&P$IO5@*=Y9BFXc+{>d^>KXl?HqGTaC&=;_IXiGp+628(VMv{_p?3m&tzdi(hn}_^Cl}zx}rNu;bKLme!K+ zWswPf?C<{W?>c?+o8L4TNIO1H^vr^85FH@WdDCSB-J;&12pC`}22v;rh(Qq1PZ3^w zPyzD{Kn{uDxHo_|o_*FqHxvSjnEKFWAo1}g;<8Rg(Z29c+lF$FzlmhzbF>w21E?3u z?XuSCAO#T9-y5V4-u^Is@YY9ZusulgVJQu_N9ohIZz38oBHztxn1#Wmh&^7hltp6U+|NWqh#!8X3j6RN)} zvNyj}Gs>AOXK zry-ZE{JsBDx01?N)X&;w11oz<$d3J(i1FZ{1QHQ$Eaj`s%8o$k%V9-+673UIYseXH zDbHp(?UiR~uOh>-Xx!6r`6R&;ZA+?l#79@$wMyo9Z%p*kD!G52x^ix>s82NHq~D(m z(t}Cg%Wlt`*gxwU^Pl?rgJIuMd>46u0e!MXL?cTxCnf26<^nmy)5j4MEgcb33a3(wkhD1yIpt%F4@B+25^Qt$FW8 z_R&N)LPuqlm&p^^rz;0PC=nq$(6dBm$IB9y)d8S$&3aDtV_p%@Q}%WvGZn%z>xtTo zu^#%qq9&~B-ZBw#j>J>l{9K-Yf{0k-WYc=JoTe(97aAq$FQV6o)OFOD60$mq;1zI; zR2Ek}Hy(q-7<_7P@ihd|$5-+J(=9~EN2(nT zWWrZ0qhzmH=6B|KF%SEmm*aW9Kt4R*7Tz<@ zL=omKISdM3Fo_M<7a)r$GI*jL;V%%7zW#z-M>b3{-cr4mp3Athm0v6}!whW?X5K&kCZ6Hykmr9}eG?$Em0!%D{(&SMp;V!#{o`Wkk8G1jC;^OlJ6-@JV{(jW-OM5$OgV z09>CCw+swI$me;W z7ogjcM2ER7pj&iMIyr-u!Now1LC&Cw0ZZqNLFS41kbz4+9Hc;k0--05=LK{lAs5;V zfC_mam&-ViqkTyS+xH+*2U6_gMteOgWbj3Ok2lJ1{M}pW^}l^H?cCk<#?<59#6X+V zPQQ5bIxLLA-2im)6SAtIBy~DJe^( zV%dq?!d(-dxk8JdDJ$n4_s4b7X=SNu=UO+lRZo^`vOm;N#xIdGSPW&_9PW+O|KvnbCT;9?&V}1xbzbE(te4VA&l2HA ziaIV!v@NF$;s8#Xnq%6^uP%dM^#xdJ$fayc_cl3Za4230!tt^%&3!WPX?Fn6!^&;6 zE2+6D-Jt9CO!{3;GS2dOrC(YSSrbAwu zu)LlnTk4baf#SYJ%1aXENJ^eQTtVZ~hbxSq-r)-9RSrgAnQ66}`*lhFHwSbKCgapf z>H`{utx45D+h8Z_JOHQwVNPlebRa+(b?0D(R#iGwU$V@UbXZj2QAAzIICvTvMhUGmmg<**y_BU*`jthc0VSw2c)hVxbjnn#IZ#=cP^cni@yQmpO|ULwUbB z`X_U%J}=C#LGBM~>)6*7`<}Uo=b$_!pkZR#vaRYh*Y6d{*`CRz` zOtBoYbEWP4M#H>kTi7cBM6M!>RS5YJ5r%z7U0IeKhbzFFR|kkUFJ~^~WEm8Zfz+?8 zK1<)BZr)RkrPWHJt=&*NB~hR>m(6%M)Vmg zd-#ofxZ;C@EBwZ9{Du=tJ~;$}$S-_5lE-N=_Ku_AgGjnR`IA3!B65yMwr_pwTl;=J zpcmlRC!c(>zpVAO*Iu(9xfq!iL_JudN+LRs=kQCv|NZZ$U-^|^F@VQ+)Qu&lB$k-| z^MC%&4V=YcjYQr3#b5k|^WirVSOw1m=n)0?;~)RndH#q0@E_9e{Lb&V-pkbeS)k|Q zAO+HS69XfVX#gn($VCDi)G-EVAjWi320}zVF(^?m@CARQK#h+Zu;fjiBu~gz=oysa z*=M=4BeReZ^#OQ8Ce(3RC3aB+uPEQeXtsmx8z5V>Pkaubbkzywya@x$d!Wh4Vd(}- zM{mA+JH7W0AEx(z@=?0?@q@H|D{nH3A&g;X;|>E&#!wiM7#tV~7=d1LiNRolL-LRT zf)Q!bC7buh6Za!Wo+Tgh%mx+*QB-U+vmDaVSvIO3^Kzbqk!@p&Wv$|a$cR1>PBLVuR;`;lBuVL+3j zY>d%;em=)j!9!6lh9gU8d9z#Vv{F@a2gJge9G(?mrQPWxa!P95Mw-jn8mT@Up1_c| zBTSp?RwBuoY?7|;00L10GN5r9*`LVHgzm2?zs5#0P35Hb<=FM9yRORi)P#JA zHfVIJX=VU#mPRExEaFG4of>R@KGo;3+G42thnfS1L^m@BV6YusXr-b0wWQyg`2d9> zvMzpGh2WW`o=u!^shVLCvE<0hvk2iBV$`xJcD*47NAm6ghA2Vovqc-$O8Pynkt92= z$dC=>iCC)YTAiuAy;M_UiUTOPE+oEZ-?X~!Wy5@)XT$mFSoI>3hxQ=vBLDczeN~kq zX`AQF`D&C;r)3|phQ^A?I4A#>_mnTZo$aMsx`?d5dk%gQ-%2M9uM0`#(w-9-~E5~<_XxFSWPeat1gCzii zh^A#(D}NIqW09SryP&&#il}rO6_DuM9{g||CY<$p9!~&I{6RfEH`0PScyn4ao4^!iL=gBJkweMi$VUUlVu>PzMPul{jeRTwXA_Q6@*lfeS) zn6iG$U{v~vXTk) zRy!CN)12x#teCIz9En~l3KjW&c+@lda~kuRzGr@>ToQ*7FmKZKKDE}ol2486QGTi@qt!N*C4is+u}JjcRVey<_>7Cb7ycG0 ze6K~HEbhl=kLb1tZUK-AKM!8fV>}aq6MV-r+{X$uBGmvCNqooslt=ytDKG*+H9>FTx4q<(1V8Nc21rI^UF^RG0CpI*0k15B1+0S~hf8_Hv@`+3Wb6Rg>u-yepcu> z(CxAe;^@DJwJ*vy+BYT<+62CNF4~vxo(0eiqn?TV;jM>0mGsTOdpEuDgSUJ-Dc~EC zZoNk`fQr*Von%<>7MHh&)D=UF3SZru5UOB4B!#4ErV=@aZSC}%n!z(9h8=g2pj{+ zQx>6(X7=i#>@Y}IA~g~91Z-7-4ho?43}uA;?D%x*KB;tu14ft7_nb<( zAqS1+ad}CU+Eir{{V`M;^)YHyN94OuJ|JFQd9jb%q*_WN$$rGrxHF0YBfGItORcR& zDmCSx$u@-VPN|l*O5$%KhWm1gdg5g$hlS`7414i(RCm_nx&HN1nl(z|Q@UOE12(SM zS|;=+kxJceT^_t-P?Ez({L2aB>$DX0@Ck|4lqO{WPPGljsrrbchLqYBwPmG|x|O9FO z@f76KO?7qTn{+R-%6)Xb{pe((qp2%P7qFb%V6EF*x?xyK)80&T5a54~(pjaO8!Rj4 zCGV%^%!w3IkJgJq-uTL6rXAT08U=3Oj`ax(}indrt!9gqiL z5j`%xb?;HUAx|H`qp|>dSQ_d>7D$pe&r`nlYm?sMcjm5$IvZ+kca)gs)ZD&@m$MY9 zEanSM2D_jIHkc;>6Nws&NHboTc|I23 z-ugiE^8T}HBU%lf0G2W^mtQ_2H(jZl?IK=;W`auQ*TS~MQb{+Ky`!ayheJWUoVfrtitfTuZhmZl!XCMqP(e{)2KenjlL3y#< z6B`xq6!499R8jB&(8hOuM)zQc^1b`%E_>_IKbP14ZaL(wJm8t_PvBpn921sZI{bIwE^0mc}NglNW1-2!m4L6nVF-XsD< z0S0lLdn{jIgINqI17EE#eNYPHg>)RTi~?f^!-y;S18`t)>^#`BVR;eZA3vhk9PjjLTd@Y|{<5pHJz+#vF_40%Jpp^17E(2b~r3>b8qwRA;JOhcc`BN>qZ zd>Eya%d*`=05`}H3R}%ozoxz+r_LvVN)~4&@@s9$3Ao-&rFz*>H)x~HR7+P&jZ_(= zG}@hLJm3(V47fq4GwMH+8kou+8*3;4W~^&jBF=1A{bEycm@DtzY`PzPwoalRc1mO~ zPl*6bQ!gu}9xMqYQp%BFN}JV&qprFojh9lr0NiT(fLm*tLAClwX{>pz_-x><0O9zq zIjQ{b<_!dPAwM@j=@Gr0^f$0quEK%AlL_ zO@MB44rPo2I9>*#rpTl|DI2I55*f85Z%D)-qI8&-(Bfz)v7EX$lU`d>KRpdmVof@) zQC3@$)b^dR22fx6e`l0-l`^1}?>{S9FR5RU5A%|(Du2%XW?3R)a4dcREH|XbSQbyz z94{)4)0zANxHXi{0wCGYINs1)hdw8&_^@Xw3!OX~PYg@~s7-p(N%#9{_;BdG-0E{) zWN17BXea@=F-O<*9j6ZS9Fc7?Z_IT+?m28Y zd7eZs6CI>yxn|HUe{aBzmucdM!~rwd7DNE`ci1O3+ZP!KI;4P85Ot%Djz9vG0g%xZ z01n*^u!3!Yt-?}2mi&3U0`Ujs6TQWU|9Z>|(OBLv|Hg*%AgYRpF&{?6mK(IY+Vwn$ z_CYpYolw*%5`de*N|o&hH`!j;WScj-Y2$j=z!OWB)r!`QT*>PRaBDS@FGY;I97UE7 zkl4JwVVjXUuwO7&fT?|+4iMj24!Q@x&CzAZfJiW1Gw7*00U9FkM3-z`=32XcRsq8 zK6~%Bfwm8S{)u0J1HOIw&aHIsll!*C18|EK4P@$NtsZM?TiIAnD78yKv=ctm(*oVH ze$Tc$W#W?^2DouR06-If6u*a$&9nIKd0Mc9{f#yfN20;2Z?(D(ukacXZC7i*(mj*emsl3 z$&33~y2|$))WH630C7aWML8_}B@ccBOCe8q0dQjpE_nqoi45_BFRCrilU{&sOHzPt z3}`wB9U?mX!A`#p0#re9ECMl<4H8Uw04#LEh;9q?`Yb>a@}sQ7BHf;KbQw8<{F9K) zB9M3%S*?rUi?&4Wv}?34f72cZ+n2r;?Mq+eKAw;M&u;-JUKWBcj0ym=hqoVTLcf{b z`^kst?H|3L-u~hH=>tvnyj9z|zoSXLFdR=9%Cr~xVuWL)K4Ape5Xx^J^BdT_fwGqr zcTMc#k{f)IXzfrFu(PgUa$x0D(Y229QaPQgay;6NG*dkt;U)t%_FFqE zv1GHkp-CEmOvWz}5GC>LWuu(1CkJn;&%CX7Khb9*J&vlI0a-byO%6_Iu@QXUG#)-r zvnNxKqchakys3DH2#i{qvjF};0lznroZ0CfCjd&;;*)){9AQHvEI}B+b=AEk!@k^7 zzo{lKR|TkAL7YzzWz;yJp;1nQ`84&WM4zqJC(*zpfGeWcI+YBjZB-iHG`>Of(M(SG zP;+fx<9Q$%4)jD{_3B9v^rQ!fMw0A?k|Ak8A|eMFB1^`z`WGA7+qqR=cE5JwJ3v

T6@!KI(51wPgmJ)}wP5Z4LH#Yhs63 z$L2nGTH24A)AQ&qFPAUm2S{)n`Pq=Y`u<`R-eJ%33;Y8Pdal+LaEmHYw&!H!LnJh( zU0S#9XwKRl`-KMj7m%=yymc?BuIHQ5gY4(l1du`>*46iQAFs{aHn!RHopf+r_p$$G zMZKjWy;fEpB~HL)USiHrUz}>b<|Nb6LNpc$J#RaK`DKt_=rF&=eCH*Ds=wPv)n8@) zIh2&`zU`thZE#M!nm>3GPkhHc*eQOYxS2s4qWB##CYAtD79;c4H6Nda3@*u5;bkZM zVQ0alBjQvqfS&&DAPtID3wf>uz@EClg-zx*kR3)eU*6KA?!2*mm~YP79svXbfMHu< z-;gJECIBM5dG*2xW92mD{sYU(l5!pcb@WI2B7KsVd-?QZK;kBK#!kWZYi1A@a23K% z0;Iz>C2z8K=IbWstN*1Bh}L5Xup{@-@9Jw0Z*8aBAKvxL@lW5nnLZ{ePS?-gy_N0| z8TZKp+xR>8Z5Ab%7@J|5%0o0Hye84Y0Dt`w~K=~Y&Kw?=bd%kf6NFz~q_@*rQ;y3(V2p))Z z<393a$!P?f0KVbpKI`-XbX$@DI_PwCC^|?0A<%g!69xew7+?{Df`P-}q%43HI%Gt* z!AAf|X938NA7usL6N=$^0o_6oFM@7-ewv^g{V5b3$`2*UXXJlU`|=!ZMIO=rQASa> zOG6r#6FIFIh_^ntlivOD2kDLf`%ZfM?=$Fj^SxVX``(TXAPf}haU$s!8#Bm2`Pz`i zn8CQS0b3Y%fE6-$Shf*w5HVgkkRYG(q{Jq(Hf-BA$}oa36rAsZVY?JxD-uRYURof- z)1X`3Mj}frdqvbA&dxdw#Dj$4*Ojr~+UiKmCG|7F2swnlE-YtVl{Ds9`q{bKO`9)m zrIPA7kaN2ynS0sniglzOovSS;05_a!4oH~F8FU&*x9;V>Mw4Ad?}_nbu>c|V@)NCLPu6wP{nIF=K_bd+y7IvW%r5v=?5o!;vq68}r2nc?t5nN?+eCeagR%C+ z1J|DV<(~Sb5+_Oy_tYi^+r*RF*npcsH~j_>@HxP3F=g-#AvL5&TaCKgc2~NK!wUf1 z0A74Lr@^+V0XHIx47vs2Hju0b^Hd>%j^(HXSBZH23F#t$=h@ZmJqdXkqYdbU>0fLnRa@>nH}3soS^ z)J8LnQv+^;0&okvK#9-(+xi~BO)a2uunD@F>j1U@+>i-HPLS&i`@gL+9FTcRLB(`*&YP>0l2v@ zoG?z#MDVOmMns=q-pam>rKkqn^fxvp{s*#SwFZD2HYhwJ8zND$2{V|P0V_8(eF#~c zL$hbVjd?6DMWrq2WAxEmAKpnHzrixpPt!+le3CwV{gZU_o!jZw`*+g4PaiBSMa_U4 z&$@4lZ`u-j#{lX%k;knPJ~BQtJ`z3@=`w+CK>@k}jKM4Z8~z@^7$6m3Rse2%$1+T= zd`Dy$U={ZtRyX`f@+HD8_JHGl^5Pl{xY0kBXuosJF;Dh}|+6|jZDw?9#xfyg`3y6g5dDcUQp zQMZe(BW2OPC|eZEVjCZ9Uz81s48?R*`$k(q7g>*GhzXasUA+0asY&^RpM7M&4WR9v zAHJ79`1wca)3-kJWX&YaM9<{Dj3HrTMuyuH%N=AuVMLK^WMkBXQL6hTAj`@|jEs8> zn;cD+L;aB}A~d)pLy0%e7>5wQ^Y+zmWM#Z@^;=1t01P4-6RW(%GuS30Gruin`HPGb zeWwh~lZ{vmZ5cxFw{CKuld(tLh_2&=Qp$Ifn?ztIOy&Bm`WhS&z&3-6GB&Ha0=UV2 zk~1gcE{yUM`ZJ;iU}8Cufh!UYfZC+xH^$jeB^RIaDW`DOml4RmH%eoDHaIIMCU2O0 zc-=h4WGLdGm6Rv@u1)nf(M~wYr;!J}!_K|(BBG-W&$_Z;JOvR9I2I76;TGo{ay~wndJ7%C?K=Ak`UuY-?bX zP#*J+WED+_&6DjK$q0FfZ|=hui4-sDY>(*qwGSS$qzzOC(OK9nIl8T|%cz@lBK7h{ z{IUVPRS5NTKaibEKM?s@|&*vWpaie52hjD|yUl zZiiQVdO$QHyNEPnIVd0*`=NdJyWces2YAKb0CFt|#5`a}i|1y*xv?i|zX?(=!|C z77ay1Tts8g_yLm8Apk`HN8lsUSqc8hpN>fxAk|S8-!UixgjodI_jj_@IZCBLBspz!jQHMSFmVf$*=i6x~2qJ}Us3uj^( z!cfJaX8#}qZAu-1&0BXF;5dk!Hpm`rjvBLbBWF?lz&O!KMX62E7l2IVX4T6| z$8u;ntrQUCv?76LqB%CiH&G=mUF#aNw0BPqNuLN2@yFk}FBK1-f^d|pZS~7eC5_~S zv)9_XB8I#-5{_=8oTjqThGoe?f}EJwM+V%8lG-Xal6qU}%+!VxIk`jq-cw&B zf{i7k0~vI4eJ9xicnW(ve_a(m0ry|#lJ_bNU1eSS0 zcdUyUWt98YYGoigI-H$%{qLwlB>-FKxV-YSJgzxXA5p)W%@WI0VaEFSu;=wNKaq&Y zX-oGqR+(cz|6(ZfK|gUsG0#YkFuyXE0b_jN0ONwI|Bi(2)>XQZWueT8$QmLD(u*gC|(TtsM+_JKP3KM|UF-$4Tsb@nIJJb^4W zA8(hk54dT3F;48ushW)GlgPG?c*|R9up*@GzYV_8_h=8=7P%=QYZ4$K?FT@Y_l(;~ z4?cb9J>zb^d&f&qKYjDFyd3rITi#CQ!OceoBO!^zb1t%2g*={BU;HT&J`#R1zSJTp zbXf?0o28!|c7PujJ|K}_M1|r1EmHI!+6iCpFu*DZ|B{tcM7e<_kmAq-0KFi-C)$pC z@kjAZxeve(J`NK15Wz+wN{vW2?uAzpyv2PiK_vkq0vb{-2Pu%a4?maaHGU_B--@43 zG#rWg5#7fAb(BYX+Wzf2=*9BVC5Zt|rzFwvAkzUz#eg^~!G9pggm}gvAOebV>7aDD zhn`qrK>pq5Pf}#W;L)cPHI^?{<3sXCJ56fAD7d(VzXy(QRzd%EWwefSY)dfncLt zDdb7Xm}eMdyAOKl;hk+878qsRk5hnAgCWCmR4=)dp@flxQOxoOHhlJ*MCC+X+ztR# zrzG;+ys??OSGxvW`Zlogn@-ZY4gG_JVa3M6S6{v2h%SJtT^ac}ATE2&&4iJ-`N~%6 zUhg_;;?bkN9javkH--ZaUb|IGUD^cDQf<{S;MPbTeTVwm-5sSz5Bi1UmcdH{ZcEmO zenL5pn3EwoX_V7YcHsy|?G*V05qZ*;L3~C1rvp&fkb$iHdvYirJS3u-mmcIxe<~h2 zCHXCQTMj9pTS*2edSXrerzSbH8ghQr?^(9Gmt<^9(94Wt@6A*qf=NbHxt^|9nrSoD zQ+HNP?XmdnD~~O_`gzYE#v##V+j2$#-jGiQ+=`6XMD!_NHO(=m<&qTj`>k$z*8>*a9$;(f-%B^%o@@R7sYgPS%C8$b7VG&W(V@_Uoh0jR! zdD#ajR3|yw6aLnr$3tGo%F84*HaffjnCCvMURK<>9&&$F|6<>~_OzP19GWnkOAql< zO!}f|Ga}D6S`DYM_#oPG9c@7l0B+<5ADhw%8_kCFie!pod&)BCzMj`gd2DDzxsINf zG$$RO8_xl5X261Fpn!mkv!hNlMOCx(nJbaSTUXi!GSRUtH9bh=!PsT*L!!xAfJD-P zyyV)G?lZ_DCmgULgKUe5$km*9SyGXm0|1jF-m0Fj1MFFrcqRjG8snN{2P)I^o$3Q{ z!G3C-zG+}fd?G;d2e?@$d5)<8qOcEVBXwCys`3C^*zlf{CV4^WJ+cZO0qJUzIZH8F zI*EM}pc{5c*gIU2*E+^0WZOx)5xWOK>&iFQCq8KddQ+iY%#zp^))YPRr0b?%@F~ra6bfpS6|*TzW`duFhDoJ*%SFY2YM{O zYCat6rA?1j4l3XS_WNd9{_3W(dY-u zs855x8c*cGOW3aZKhLsEm}R3ryo)|1Cg6kL=#K#9*v|WhG<^ENhorIh8;3M}^v0*@ z<6m(7#3!ZV1CSpqQ4c^u@4KhZt5Ens_{{iwe8!i;UylB9nFu~_-MZz&4)Ejf-|+JR z+(?IkOX0ur+fjfU^a6Cd-1Gu;Tap;WfFvY3engwmfk;OUfWs(w4h2DHr=yYpzQ_;Y z1*JjfBn1$2+On3VMbHf;00Foy4yI?3s8788KyD0LhrGE)qF&Kn7fDR)yyawa259p^351*f=>7Em&pz^=507qd`yM+07cf>A z2}2Zv1VaLV31bh#5F^6CmW&;YzkR+WdgRaF@XKZG!atpNP&fMC3?v1|-FADSRzv!=SwhFm6B>(IqBbw7u0(LD-ZNc&a;S{Op?>erz07hpka66b7z_o7a%81s z0juhrmOV@5rscU$?L2G5*|G$n*sRx_=!gIil;^0S724$}TGa034>$+dLYj_LCP4t4 z0V5wDpsQArBgFvW{&P_ZM-$~XE7jDkYJTA;S@AUp3qKm)@j~MD{SB?JqGb?mOMs&Ci&3J?AJq z&4nyAW^Se&B62*RZ!|r}!*^aDsI){;20L_VjhXzJyE7gezAV3Tvn{r<~ zknz3@xL-0Hia+U5o&%udIc%G<<{SVN0J#9H_zb{7G!t!gl6>G7P{d1D^_=%dm3;#X z*i1w>VG|MUwBpb_nkYYx`?)+YR*t+DA4603>`;y#Tswk5PAhrmuw@ z&r_cwKg!F%5@0b~lGOZt$d5=i1A)u*Rk0lXllBLQ!>-PNbpg^Lm;P`c07WLz53oJ= z53JyC$;mdVuJlO&V2@Awzw%}|EH-X{nP(+lX2CoFF)w#t{_^$og|EMyUj5q3e&Gur z$Y~YA&m-Y)k@$R>K{x!s0Nvmf{|{df&}$KdIt$@%f+^r{0;*9CfYmSk(l0%+ryF1! zAQ%yM_{Z=8*v7tb0DlLGd^vrTQ&i*hRQ7&@SNO+wrSDKKr>*|@$3J#HoSMqL>@i33 zxR9@lugWr6>KuM6WxW0N+b)N8<9T?3f6C;!XPusT(Cwm#4oQa~(eR6a)LDQq@&j-K zXrq%7;l^h=8j1oShCxW8EIRgC%2|f2WDC#@00-Xqj&ezq`>Yam3DAvt1lShoyyO|> z(qCxb*szlF76CWVeiRn%3vc{>5>Ja@Tcl8Y7Y({$^fBS{mh0Vr_%Qwa2XCgg{_b7x z`|$CbpQeYmw`~kKr2pcEs|h(`Y;0cJ@UiU}D&8wAl8hA$R2#hu1fSl^EQ}h!DAj>C z(6Iy}05`vZ)blt_Vc=lIG&}J&IvYBGY<$kY@s_fkx>ve(5{AQZ+S~4%Hw;*Vljmd% zVpQQ>!3#@Dd7}vkv?oKKXoCF4UuCbcc=mDYUhAfHypp4MK8Z)A=6DRh9oi2l}*xgVnyOG5S)+k#7B& z@+XLwP9zJ_<4{zIS9 z{k-7e8G~55AFzx%Qywzld3S_Ei1{J|ZW=GTGPg8|`r$AH05|0i0n)_WavFkXUOI8W zPPP+d6DzNhc&$mlI^un+WstzY70>9OWun57k>w;Cz=tF#A0D1EUr`^x6M&BX@h{#0 zGy&XrCW9_Hc?$*U66(O7Urn~e*lZhcgJ**)Y9lW{RK6MPDKb5T{NhRTFwgJrVXN-| zjEHc+FKgphUBl^zr!`?fEE}^}iuua`(9s_R3Bu5F7r}}~PCjc)tX!PB% zLm#Jls>p_53?dKsvz@EFtUr$HBqxxvG?51Y+e=@$k-qSaSJD^0uJpB+y{(G(OkB~& zM1~~5tN@Vku>jsKqyGvp2;c_j1;H!6AOI9V)GDAGxB`ABz#C<7C;^}qd&F@_LJ)^7 z@Ec29kr)0a02lWF{2e6n1aN!rz4y#3C!xYC7(vLHb|!)j!0m@W{Gma)U;p)AH{b{0 z1_&7ao${zJWiEnlzxc&3(i?BQ;d}uJDF?ufGI{1%r_0wHFF7p^U^>sT3W<9GM5(0!6{^R?-@5p)3Na4{#5qc%BqxP^U=G3oXj-JnBY%v|%WH6dvu10;J7pdkCNp zaBQ)CQ7+2@ZcyA8_eOozU8lpy_0*)#TRMQYTOZy{AN}If^zJ`=klz34hv|c#eVjgh z=T^G+DN9LvHV!Z}Fg|$0N(ei~oUQpa69z4BpS{Vf$|F^A+9(ePLG5E>1>=oPmu0j# z1bsEHuiI1dXDJ{67Mt61bv@2N?nA0awV}zqUQRQm zsXpSrk*6KP1)>`RvUwjWjbS3&IEAyW+W^@rvYj*8$oc-|t<1}OEOwW;|v3+;~ zha3Q8)A2#7aw!!5p*EVIL~H#qj;boo&%ubFovPz$KeWUBtOTT z#5|Da-p9nrsjz)Ne$xqX)VAv-tDe$GoR<9LWSYW&Tws zepA`Vfe0+m$%}2P0y$g)+b~D0W$=Xh84P-|JDT_&Kn1WXzYru5Ru8VSg(T^Df1#Gk3rZ(ZX zymCQxrY|8+@xr}+F>rGOhR4oefbRN zMj80E5l}*&@B^5~_xQ#{*u}H){9>RAdGI_ualP#Axh%a{Ub-aFN$IpC01`S;43Yp$ zjw1MrPQ?Hqs*R2rVX)*wXQoreQbWEwuSl$e6#S7Q+KunvgG3#lRYJbVnZb-KqrH$X zX&v%KR+K|RVbH!L`U-7MdB~CWCAuwuRND6}vW<3HOw@%kj#8NGAnHkC!sp~sz%?S; z-ul~j9Nl*711Zr5Qlc^n0bmRiVZe37mkc|;!vG26Vco_WfF5rX!$4@Xn>HMHGoC~F zk2h$~PDLLo`aw2|d0Q@nT?Q7v)6S2LVt;v3l^HuvfNf18 z(h37sykNNdjsDfH>e6)i$X#ZIoev^M47ib>`U7BELPnC=1mjW3r{USK%zWZ#@b=X# zVAyd|smd#79MG1E;XEj1N5nAE zqkt0V`x8k;QYz2jV58%i(*TG3bG|%5!J#7nbsy1k%t_1*86-HOT;&CLOI^tp5XdJ| zOaIc|8E`qCXUc{@?t5+6Wms!c60l2)KMOkLs&71H|A^ zBwwY!49d|4(kpB)K{9xw>|8I|0kLlv_7wGWd!K>5MWP>>%&&B?#%qoa%kwDnDPUrr z?F%kJWA`aVtmt^|PUSYC7Am-fBFwecVX~g?^9`1A!VIRfn0qjZlcj;||rK+d* zM#FX>x!%}*1t_K8kTC&bb&< zM`>bw8^!`FDZcXEFQ)JOKi^2-{H?F0uYUi_j&$34X~Q<*aW4Z-L$!vH8O{jJ?ZNT}DaW@j3Ae-+lL8@4<%O$)0XRmGL`evTqv8K#5)h z4Ex&GzUC-5qR+q~4ia(&pu@MdKO=cl4|r!8D4$u%`q4)pIT6)HnJh0QU;J>&22i8k z0Cw#4#y#+hzfAt@1^1Jm{KRr#Ke+FF=R4*H-}W-LkCAcW(O_@VEX} zO8u|iOmF_pJ89>^o_GRq%ab-sIx%Pf-4@?mXJarMed{EQ1@BvdkpLK_<*pTWs`- z(UXm*_3I1r%*Nki1INof^qG27f6C^RP7EKG7a%VTK@4M-#qieIfLpsT1ZDhD7nXPU z3Sfp2WSM5bEl0Uw=qmvns2s`)fRjFk;b?G7jy(o7AQ*8)d%K+6+AG?ksK_#;A%k(o z#{E87OywDHGw`S6I>_*33GKCw)Kx#g5rO~gDLGGLhv#wp82Z9E%n z%Za~j@WZR*4B+N^0aU0gd8-BkVxOP0Qg)JLV0P*W{AgR_3lQcozzxDVY-#Lu#Yb1N z=$6&@C7a3KIQ1U(?c@NmGA?R3U)S4dS}hse0Z>^7vE;L{i5#jvv6SVJ>i~^Vjb84l zG?NWDs!V-A0})ni{14!EWnNF4Q#r|fje#AFEe=8eZ0lyqEH1en7{`d6gCp`OOU?m+z?Ui29NpCzaDX*qpC z25!AvNpq=EpbC)Bg&1t*?%o~JS`uGQIx?;2h1K zK@ErQ1E4yLkUjdEayi5Y0LZ6OOP?F8VE?1EJ^%p!^hrcPR3242j?gRQ0hr+zF5;NE zA7`HfkeDl&Uy0D-bASb>A^0=kR?IJ6dMdsE_~sH2z)fpIbFt=RP9bG3#vb5)=H|{; z(+B(@OY@^=*|&{N^aF4+U#Dm7a5BHy4#5V=z*C+>u|4=6{s0ECA@Wuiox~omd}aw^ zM|J|X1<_c0kM=x|G5=<8=6uKhNre5wVFd6>yNpMfFE2ZlO+y|1!mgW;ul@hN zpT6RCcYPdB{>eY_QcgfLox;u1shBcF=`+k)VA z5yT-;UlbO+T}Gv~EJZtzAY@B@0(3iT-N+X?(I29X0aT+L`Uh=`vRjN^jPh3@+9uj7 zCK>XkjKh@WDuhv+L85_=0sr9VAE&qe?!EN(58pHB#^DJMZauUSiQ(vD;ANorts|4X zj3D-h@LS!&_+ZkehkIEA0Fowkhx02Lw2`68Z(i0S17UwS931AzQukmaVBiq#1sKFz zT#TJ~^BIQig^+lqjRB#&r<;rx#=9L1za5u>h$Af-+2Px-Qy%y9s|??y8<6>J zt>x*f{x0O|lizgB2B-Rj${;WL8Zsh^03%yp*>Uh2U*$cQTySb}%&>uox?yiMz7sda zwMgbw#=0E@CG|r*H1D4yey6GvZR=$PE&5?e<71q9>H|ITNebTm<~@v2C1gSy8Jr>S zW5^&TeFcY7{bZ(ku~dmj4xH69lPXzlRa3RAekA88m*P5e0OX@&Ssgb#=mO z$$*r)%&H)dAfa^S*<2Z7SsjM&PBQ(3!jeq1j z=p;@!p|o46rwt{R=g!n;*~4wfc$NH?qe3_HNyXMQ?!5$BUoeK(Aq{Fr-qG(k2%)Jm zAmn}8{zzWPjIro?>UkpHs0TXsII?7QpUc!g=ouVz2>p7je%8Y-gK~8*k!JOJ5iy6X z4tX?W>$y+&0G@GQehDRAtUR!JP7<{FhR9EKWPdZFM44wR8eiT#UWqyJq&a3OqOST+ z*_k!#OpRdC^xV_=9h82pcBu`b>a!T0DF$Z zvAANha35{K3sfSX9v{q*mtfM)hc@ntMBiY(r!Qb5#*#$(Fo0lQM#@-5o+tFpMWXHK zC-gZzn}I3v3!qN6750hjDPDTepBx3x%Uso;x*LoVPuO}S{)RtnS7d3MO|}pAnA@Il zw|)^FOY}QrM;l>R!#6KUEkE(s-|5>1v)qt{zV{eZo#C5%kOQZ{+P>7^^amne$(Oo% zwT0{6PMhrA`|@Ub?VGQrum9>-)3<-?>*<&N$ydCr6rdFOA;)zRydU&m`R+1p*_-b5*I#$OM7vQZfHnX%fHeR`h&+gt<5}<&?xQ@O1BfFs zkKe#X;EBY(Zj4pZ^FSqa&I?up>mw%ONatM*I$0pQ0h$F^Mp_)$!4p6motA4Tg8*ZA zmJUav6Z1UjX>=@j1uR+wkQiJH6w*2rz|$h?5z9TPCv8W4P&Bjyf1j43uc0((TT(

ZzS-yjq{>F>B9TAF^yc-h z-z>sIY*0%Zkr&1e&mDaByokDE&|!deuD1O~(T1FimJBM9GH-ldG{P)1r>qD3nd~gb z{CSc5Xwesaq0Yr0Jd1$?hza1PZ|tyQOtGZOGT|Zpzu#VwxYv9ZdX-GMz_L=-PT|OXbWo?gn1MN;YJYuYAmT@wdy75f}W#_&SPM&eM`?+t=D@GB5c6 z1tO|!Fcy5BnqXi5)vw4qn>tTjPA$~4{!{CrqihVfCNtIEaS|oj$ZmopHm&& zQeuI&&d#13R^FP+C?7Y(neoj^CFSU0M`{gmHdJ*J0>q-O|QIG)4lj>Ya_KNB^oK4)< zkE0FM;aW|)IMq`Bp`6S|ypWJ{rZ&b&UzX61jET0!K2eE8>ptoa)3(w&PS&NKxeT=_ zWk}C3{vOF`-iTl`eouBp-!H@tQuOVx8T6=^dv|#Grtfy|XZs@}w2tc7 z68r*4ky;vuolUmVV9ewfWYnp~-gx>Q zTZ)7|0GP#f)$-3u@QrYCq?_zjUHO}@0bv3xa#W}I!$!ka!=8xkD(FM8w<<3H*}^0C zT3eU?^q5dtfJQ{$5s}6V#e9&%ps?+bA${^>+hLznPy1ZzBkp%3_3`*E*MYiZned$> z`H?|8?@J3`EXf4ig^xO8R{fTJ_5!fv_ZTn7_1*I#17ngM;26t2sRJ*3dFhF5?HAPQ zlMsC(+k(g?kHz8#1Z$au?Z;QVSoOul?GurCIknS zKEvzt66r>rf~XJehwPWF8~H4@G3`s+(#GVE(m-ak>0gF;a!Bw(*(B-` zAn+=b>nX!a6Eb@}JiPrV-TvTi`s|&XKAki`xBH(y@IeX~mKc(Lj!79qOn(EC87wOj zle>)%ChTHjXOm`@qB0TN;4=gI7u$rq{7lZ<#+Sy4jR#HM0Cst^+PohLO9Uu8zm3a> z5@1~L9nYU9Q6Gc3GI0D>Q3?JqaxgHECBRHXw*k%^#uHzK3`33)wa2rI^4w3w?^(WC zR)BUkj0@S$)#u0?U?d_C^Ad;519E?y_>Z=vt++>D!k1HSWB;KmpCi$)F~nKInh$BH z8JOWzR3h9mzfqThXMicC{WsM5|2RUH?lWrls@k2s+$MU)`-WlcpYZ%q1n(I2^ruR< zmP)N^nyDNEKKh@fX)LK^u~k#DCE}|ho-5+L#1cx$bF?RCUVQA=iDyNA!z^d4+ODOM zR83#)3Q({raKU(B?;w_d&1$7IC{Oc=qO{Q|@^-r^aWDeWO>EFlJ*zY2uhgy8?Q|=9 zZ#qw88++7|CaODijZNs?KZ<-$L)67ivigshNYk=(HhPwRQQWg`0zhFoDG_Fj-?6-_ zd}zbzQn7fEw$%z2*>3# zWXboA>Tw2L!Tpvk<6k-zU@7;N%wOEI3LPv1{#hnU+foGCpQa4*qE9fs8?r%&p0j>B zq;DN0#sK;cUI6zQo8H$AUJ7Q88Yk!i`U?7*C^yEL=RI`d5zq1`&%rZ$KQeFO$fG|E z_Ud`sK7%97QTds}h;j@FsjhSz=0oOWzy}U60wiI+v<;&1&u{3UeOmZxA5?hj{b6jy%*)=}WeQvh84?P#IFST+8(myjtHD@}OMm zWSL1W@NH0VcVIipZ6-oaz8@L#(p2??Nw*nw^PEl_DSzsOT#--lOxPlnWzyxS+F38| z=b>xy8M_br54pl0FEVZ4iHD>5!g1ubDf&s+i(zMFd#dQOqJ5dEeCh)~EVs<{(LK7r zCpIe2=LkF^gm{koAIrqHnfed)L||vp&&QGFSG4bA`BOgSs{hLdjDr`bzl&Ew9@O`7 zdlpIc$@W@)S<8KtLEDf&`{8X|@20D-Uh(OquYUby@8bsO2KdHOZ@{@H+JB7%KjD{! z9|qwIk=$1=8R0v!43h+pETv?bCP5SUj%Nu5StR!@5wgJtMLq#=#cu#%09xPt<~O~c z8NLlPZ1r!DkPBFan7sq@=r_+)wxQ{r26Rydf-M z=7mwRG)WZh_cAWS5aEqsro#NtKja$||Ngz2;Ju+MZyGIE-K&3M9ASv1PlgTL(F>csEnzxR2Ji>@V9!hp#l#q-2CI9Q{ zkHz2o1E1zK_~oOoe9!0jB9oUFY_(IPqX}N$t4Q@x8K0^*hWt8+li?cOda6=4wf7VQ zcaoQtF11Pc5k&uMZ#5Hp+Dz-^G^i*~sRcXkDu>F<EU#gcBbRpKE*xD5C8^C6C1iV zldh?pX4Iz-U_DQr4e{S?IQpyCm+q4z!QM?QgIq^nrq8i|lsAyCO1B~VvYb|pT>yhM z6mcj4CUn)0Hk$P`l9#_TmZK?$izYqqF&YGLLo^e8jA%iCrHSSgqV0~`H;o~R+;HfS zT|+u_uKqeHt8db88`77JN*bg|+MSJ4Z_fBTUBB2U*VDDK#`L_J9?AJWOSILx2=I{h zVh>376{V5-e7_{;k+V8gG4+)F`Z*%4QuC7N+DOlGa_)d_5~fNxWoK_+fGd`m(_dLe z2r$MTfJ7$Jf7U^c>~oT{tkxz0#`ZLiuq^$w)Kp$=*(db1IT69^v&f4I^|O=o=6-!i z(ha0>5Aag9ZvXL%%)=-m6nS1VqrrSHY1`(-*prc*Pmnq|KplH6l7|$l^)35;&R8xA z2;h`oG95|EC))-k+YjUk$ZhaIZ3e(aJAwlkgdiGSa>i~rOqVm}47L%y3~#)oQ66Kp zJuhD9fCNi1J`JoXnFl?`_pl1Tyv$;sJSe|Flw@>Y2Cy{#C0|D&6`;?$^pWRz@d5bZ zh$JO!18;djzcO#qzt~;+8~!uMsCv`i3-AaKlkecm_M#H^@|@)iI41cRT#|fzpXy9~ z{DMmIvYdJL5INIk*fEaMryTx6w*Hm<3A20vk1m3!t6yYV2C83!ZBgou4g~avAL@=G z;$=txkuYt5PATkF>XGf*93coWmt~*(#ySZ5lc+@YO@ruD=BFUqmc50!o`rHh(s;(^ zl`L+2=~{a28?U5Szy3;k`Kvd4Qt8!Kx6;;)O&_EMKh(cyz_k;73!j^WUqnKdL~)T; z1+dP8z!LuV|Nh@j9AdzJY5-LnVgUHI4xf9`_XS8J%8liq5c0tXj%YS`pltkq_FTiS z4A71H@GAk-tQ++#`Ed{gharUQtsf<8?&IJDKs@|Xd|`a!AnMNZ@B*Gf3SS!E8K90t z+fg?8Jx}ypfNoSF(s@yUZlJPIfGczeIwk`>LNDp$bXtCojuT5t>6CQN%S6ZxkS#zr z>KLFK>3IO%s2889D{VlVkd{@*$ODiIuq_k?&(ij^ElP=ma`B{ej%`d|41Q=U`dWZ) z^tZDTvI(GzrKB8^z}{^izW#~Q$9^-$5IfItwn!mEjIZW~)IXX~X+18;kh$DVk=z{*a*`8mxS z*EiC&*RG|e+UCLCT_+o&Yoz9u41gOQA4ssfH%Yra)eD4gMdFR^)~lOo>kAvHuRe3X zr~V|P_)4pht}2xQEC+H@|T@FcKV-(rqu$`qxv(FfZ zlK@n-yOL+Oo_0#3ba$fpY9@W?|CXoCQaxQw1?a{yO6k;fETde7yu4d>7c!evrm0sN zr$JfHqvoT@LjAm4x7J8k>diFW)qVGdY50iM2FzW>O)C=ezNY?jU8yJM_1( zSNfm*v`I>xm0ywujGg*T$f!9ILO{=*ktTihYjk!3AjrC zUPFIcZ1XRF_qFuxfBKE|&ENc5`tmP-QRy{&p5@Q3Ck>FI*D);yu?I~LZw+tW!15yIu7KJ42P@L z35Sk8!ZJ<3yzcdm!M2BhxH5{H(hWq3lmOl2984**km+&d(r?+zjl3&ewaI29&07^m zi4hUA%06XuFJwagjjPf-SL>-ipQi2M$l%d&L_`%E%d=r&7Yfc$cc30 zZ=4~P&rQ{&(}wzz+R_{8t1qpSXoC$oYF#<7ERTIO8m8UJdV#&eh$yp7_1jJLr-5|& zqk+nme!EEGkP0I0SRT65AEuoiQIKaFGdU70FR83G)y9pAqXq{h&0&s!Q(F>6m}Xu| z%b^hmNxj0r3?N{As_R&~b6oP_5`F12mdQO$B4WtVQ_R__ORm$*C+c#D2!jJvPlRe` zUQ1o2$)23f9nB4USr4zP3XYUi+mVpVP;)ZNlh?T?AZ4((8+%A{QYI(a0+P{3Sa!N> z5&MyX5)OT>sWzUnEZ*~z<_2YSk{&hSsk*YKCHq(ceoY+33{Z4DFyv=7Kafi36#y5W zWtqBo*xz2@5Mu6bNcVH9Dba3o$yoxxadBdQuhT?5SvObF%{f|)yy0&Ikf%BkSH(C& zW^=WtL8zi`@EB1;1~K(K`YQu~LxXM0yxcPQrRSKZee$>xd^rM6dAnVd_|8ifnS-)f z;rs)zS|*y`c`$#9*T@5z#!^kn;bkRtr+#Mz_{fubk!Rle1KDW)lbo{L)b5fCU=xvn zl!6VF<&dw=LrjKzNZ4k`)zNsW_nB5#tce`qranyFGL^C~K$`;yD-nH3eYh8J69CSU zZtRh!C*a)osr~4?ZcF7+spcrcT<N zgkOYz1VtdkWd+^-=l}el>CgZC&%Ngv`>7G_wvN+FU(n^I7ogjcgklVUgU=A<1ptDQ zWD;Sp5Ya}8u*yYnj{7bfMLkH=56}%jCqho2bBbmybH>D?cHkls}Zu zG?bbl!p-|)t-v&W+Z+GOX-pfHH1AfDdaw5Z!|6YYa3)!Dw^5VxTh^G6U0RVk8>|2K z_ZR~c;5Gv%#YvytYCX+|^TesNc>7~XB-|fk{-IJ}b3a}nTJy~MPDW)7) zf*xWF8vK^RU3M%YH_sE2PfNB+OL{wv^UJD<+c)NkeE(sj$8*G->g=WH`nw{22D|L9 zm4UOP$j|CI04fe<;BbYSzU)2dr@i8E1<&P&WWlqxozcqYiE-mAUWh_^>wAM zrB{CGrF88JSN)yAT+M6yb-nmT}$`Z3RVr4%X=~;vNhv z-Wcva+;bEg(QGUyefJ+S;P&p1-q+usraK?qOWXH$Z2a)dMUV|)oWHv{wB-x#pB5RpeiTNpn>{;k{U@4qUwjUu_WMTInlQ2Q!Kq} zDj$~N)%9In`Qu~(OyJN0z_NsNCTFxHCw2R4)BVdDi6YlyoJs zh~;5`v#ZJlkikowT2-I6Ihan;P`W81m(U0}ksSV@(o<7Yd{Yj4bEdjZN~t!I(>hcd z%ypfovaYEwdG@9IdTKw_AJ7!}vo9EBuzwq1;kp4glNg?n^pWd1l<)+3tji%{yt5w< z%VvpEBC78qiFTs0j7`Q4{bCgktk;zh?F1mh(!tR{{Y`CL8LBPW+f1oGsifAt;sXXa zGy{;;yomV3VH&NH#)KLkAjO9|;ItL@JWYZJz^pj=7x17oQD0WyhG!p|plfR;oiWzE z>eG{+~caJPRP`J?PZ0Ia~#}c&7X2@GYHAlr{UjG8YnI)0}`k!qxM=_*_cAQ?$y>HiKlMc_)KQ zIa)vF80UmMB87a+m-?Dy2uS0(7@MS6&Pe2(PpU*Ny23M$MSbyOuu)j9iQPn`R+a|^ zo{jvt{(*P$rao-*fqV>}0U8xH8ZSH{WK4S@bE4yNL|E=aIigQ;)&0nc3Q!LKCEH&` zavf=R_n-B-v$nCsOSVNLf-Lg~_xJ;j9-}_$o76k(J!EYD^&9dH8N}fQVNdMW?V#Lg zE1Eq2^_avHHXim@fR>yT>TOpxTSfcJE)}0-nWF>go8pnaS@3sSVhm7!R-0UZ?MnLM zw_Z(O`_-?cuakc5tLe+%c`d#4-)DHzfors*Gj(|<9HDA}Jj!%oI z695{CHblumyir(O@6UY^%@(1`{7oB@0M$syB9@f$?9*st+KL1?NLvxA3czH|9 zei$PgZ#Hl-Ef$A7x9WbkmyD$_;&^+?_q1`mEd`^<1}KK;Ooj}`pAyRf^ehH#Zr2P# zQyzv31_&oqIltmNj4Ll|HPCi;<7OFxrCcXD0vOxvrVTKhD(b@iZ5Z(wTjxbSG(iTK z4^5C93370`EE$q4)(m@S?9QQ`RD3sJE}Tyr0`3&C<5|#vTz9#qX<7vr|i*%|@!W zD`|T+PTO;}wK}uAocchH1}Olyx#~}Z3{5iC7?88WDWoNms>NP)0BqFRK&eaMjd>$= zueMUXQ%w*0(lPzPnU_5tMf76`hqk#vL`OXhXVbJh9Ib6b`ojpof_}hNEv%G*2oATn zDBz8{qubc%-y7UZUpYcbbzet>RFJ`DC1jj5&CS8B8;mRcT`#5G*(mKO$?SLAvn=y! zxtXq2ng;A1X%1jH^kpQX@`!kH#GA%1$$eiH;oOK3OG#%a*GcvCvQS>KsIRd1-$2QSO=-g7pu66%F9blHGk^Loa(v#5I*2vUDTi^ zdYy4BR`OC)+E{wshb%~cTgOYM9VBIuZ93Tm`A`n#{5&t{YcZqp0Z`PAk!l(UI-r8Z~2maP-uEUf2x@PZ+) zSU@(PvkT8a=uGBuzu2S=R5oOrQF08B)G|F|dC|_)C%3b7n96-zKgM9PO{>@odUfd?M0ijCA7=fj|AzKXu}i&fow2-%r2&+rPcPiVFT;(DO-^ z|5sFee&%RZWwI<$27{SphAica4I3Hk3~EmQh)`Ar%(IMGN0b-f6Lq<)N^4o7?E-8I zU=ac|3t%+*5p@S_V~H(57VS;liDp9%bF>uz@NtBp1wgX* zXfJ*Ii_h|M(jUF=^#0F2N)K;udxKXSWGgxhXCdA;JHl)ugGnToQLvZuL4ANJ&Yjmv9CBt_!@ zTykgvQErW?oWDsajr&vUCS-e#-N|H~oIhnb(!l!c7a=Pa&eP-p-~+fv|9!k1RKL!1 znafi236^!UM3WT2J1?T#DNi7}DPxA0E$G#&SK0=xuq#N%5&fM=OkQ%}sJEpj;f2f| zFVQP*K7^<;c@XVPy4(z#8lf zyoH5rhhcv4N~9Y$faf^n&x^WT#`%m7+LrtyY7E;YM@VJB4FwA5VtYl&_KK3X(~xc8 zrKtc~n)|3nPjeer@(TdxX_DIt&=ecG=yZdfp@E{EdpqV801XfcKn@$s%O|gNe8oQG zJAf+kVhrS$#OrAfN0X_&y|RHmA{o;+S+dD;W`leBdsU*HJqM^w01d-djg;HG026gD zb{}m^TN7Efd0jpy?Z3(4Vt}qw1K;_Xyd?Kj3gQrA6~*<}uBKPN_Hz2>Z+tEN%D?>O z^xfb6miKd`-x&y18$2ySF8Fx(HQDnJ!-B+`xJ ze5vQlFTdiN{hf0N;woW02+zkX~$vthkR^6!n+yII>ZhH^6_Wnr*^{uR@?FSX=F$Kew!`c;%z5~Civ}Q zsqBL=*jMhnjA_dA9xN~`bGPmmAn*%=mR-AsasRZ z(OZ2vO6I^r>9>j;@R@`KNL`hzIHj=4R7FzpME#72 zYLk2pBjjn>chv8#!`7!M4XBL724n=YHNIRfC7Di z(_Yy>ZrxFQ#}R#z!#PNFR{#$pmU6w%4<-LCP!XLr#P}u?TS7EtR!L+`K_Z# z**lKC-Rin}e%5z@shoNXh;>>5z-!fO?uYE}hJG->qXYoA3<0!t8}-!DJgKgfIN{j` z8%W=gj?<;+nWn}f%l*sT$6*ZUY?Vz4(Cno7jEEnAL!#Emr_5NE>}Sf0gAg*1r+hrl za(>?5N+}LQ0DuF!M8y)Z?kFZ*X*lK@qA1x;0=s}Eg}lt$2V5AiPAXR8h2^1K&zl^n zr+WKE;6^iblmG^K5y(Dw@W*(DGS81eBI@L=Fw{3g#wW>n9YmWuI$sIi!v4XY;y2_9 z|Fl6+o>Q}(^ElE??WL;mH1&wX0!XxTj!-M+dF5++O=VGk>@Oc;K>yI+w(~O^=E*jn z5@4UdQ#rP^lmL|TRwlfgQE@jh(;ZbZ0oPy*Lizy7iTH``$Fkh|GaBkbuoEHC^v{IrM~ zyNo{hy?gi4fB*0Q-RWE3`d0e)|Nh^n-}#;2*#`<~w-@w$(sKd2EnZip$SZ)h7|eh+ zF%VET3}gle%lU|YVzBW0vpQI!-b8raxpQY9bR#|Mpc|2iv|qF--w~Ba;%}lC`5mJD z0N4Q9h#I3^N!iKI>1h-EM;}Fb1H1vc0gxUBx?w=x{_sw^{lVSz;p?BI_kQ|e`sB@< zUMAtA?s)^MdoW4^XyS@-ltadIpAMtaZ-9&aI#w~(Fc^?0Z|`_p*OD=T(axsGEZ>kR zp?;~pSr~<@03t_`$E*H_5A$OqB0HddvwAIWoZFKF*Wc}nzigmjuwmSVQRw|(YLb<@ z2hYMU@^nN3Z}D}1Ht4g_PF-ljF!)X)+Qboex{5(3jHFl^7)H}Nbl^ck9@KO5#%9`h zY181>c^sM$<=_NW0r$GCRFYhYXdoGkaXBSBOq}e7(?%p4P9(h);0-z3`G7xUBN;&e z5A^5m)pqL0pd_+tr^m9s9Hr;BTA>>3ZPeOe>1QqV)Udsh+DAMCsI1y|-6vJS%7*&d z73rgHHIEDB+nCE3Px^jZQXd^TIZ{>aMPu9oAOP8>3uuO^tGzx5{Z+FQt*% z764)0{R-fx>j=_n+MbNk_EBHyd>yq5xR3 ztG?PNB0+UNkFguX*a$rbI7BOMQJA(Z?ma7^yKsg9-|~s3Dns+}_U_r1 z0FxK|0v2w_zT1$^!`!s9J+N+HhR_+YT$RH>x;TuQ0C$K6dN}aBa1`+@eG%XeppyMH zIb6YSSk!(Qyi-3cboWt&&SEYA==7eQ%*PewsqW0qRz3^?kVUd0&pbC|`-SlqZ5L$Q zN_<;iyV2&h37m9e05y(`m;U1PQN9D%V~;fKDeR*29Ltd9C!PRDh{D>u*72Tm?04JW z?%N*V9!H85U=^RKD*VGEFY1s708NhiKVJg;*$|%_ntS1o6&1|U%)QKI0g94>vW=KQ zptw>m|05YAXXKx624KoB2fb`n{UKh4(ibU{@*F`%x!6qO$F>XivTqp&ckzNbUi9)@ z25qyAwaDK^l5Mc--L#>^+`ezOQ;&i#+SdKC=)1Ig*o^^RLebC3gXFPBUg`(*E93~c z_DjF=<@D9>e<{88%~zFPQQOHL?lzsD`OGJfBSDv z-}%mW(tr9-|0(^8fAKHOH~d}(xxS$Dp{I`^TmnMrGFT(3Eh5??I*LIJ1<)2LLP7c7 zPWv-HP~bo6aNb74MHBU+PP8TM3=kJ!Du44m_t2hzZYXR(Ig~bS&G)qNWun8{ijPdd zy!B%_=G~9)rH|kIG=1>1kG+KSZ6%hJe(~orTd>f^a-UlLNsaHfLX{-J;H{X zOVU62n)`_-HyHv3=n6w;@!$a_W+wS;9P$j0W?&`1QOujudM^v^(SMZB#1FW~GEfWw zM=gb6wPr$glxc&-MwrUNsB&MK+3>;p()P8*CyTny# z4k#(Znf-!%72n>79oeZO03W=;UdJ*tZ*r{uTxnI)OmVF5u4<5AcExK4fEw74oIrI5+^ru`Xr94ml&$vN41r8pT;HfXL-^@_pz*$y{T3f z%prvHM0+#-4N|KNMT%f61k~92BGv_KGb34jrxbK0}=Sea@4R5c$S+NSn!{P4Y$9Pa>4$H zm#$&IEk3&p*+x`*!7DQ01q-~xhwVJtfccnqK(6|1+iQXHeHvH#jeFu{@8=FBpv}}? zpHrje`2gcoMF|@UzNjbm6-%AHY}K}h=0WidQGNh$2l+c!GM}`!`fbrZv;|-pGD8+V zRBUJ91H}wtA`ktBY{NFq|2`>$0}^q&PzF(S*S~l*eeqjgNMHT_m($mN^{e@?gkOHm z%S*4kvgN+vzUK~gd1!GC4c;yrk3sNCf5q?QGkoG>URHiz(E8{feWY7FO9F@iY~#vc z;JZN0xh~$zXTFOK`MKv=rjQ*=6>s0ZZ9s}Bw^v?y#h}x(O3|)>snm%#BK%EzMFKPp zKsCa9<1r;GSDPmKF8JsMgh8 zMTy~*>!v%Y18t_fYz*nMjq^gz?t{8w$dE_QBuFnken)B5 zeY&U<^6ARpCNiufZ*!)ufEz_*3Qi!0Bh-@m;H>Byk{8Y*DfIeDL>U~=(Aj9@!yhK2 z)SJr5(BsSIaT@AKMw>G5>+NcK&>Nh~VGWDqz9s@tU>_=?Yj&kSIk@2>qqzXvHZ`|w z)@we=kv_sQ&Wk2=J)jAR$gEAt1Rw;Ucpx3WHyNj$q7Pg~;&fgB_`0r*iFAh&ZuQF)B9NrNd1*qln(YC7Z@s1~dOhZV02s(4<^qG-vPB{aj`E3uCNFHC-G@ET zBWKlZj&7GOVctR>&PP1J2O{D(?x8$@ko@wHdYrvXi1K{EkmfSlBiAh37{~`XF$cg0 z1TWZVB-+l+r{Bf}FW4N}=F55Vf{Q0(&pLn|Y>b#kBj1yVa%>Mu_LR+G6xd77TzMEo z<7HRDYwk~HC)Z7Np-k5ody4Yaw=_iZT&P5w(+>Qd+feqt5_{kAIqY9-ssQ#JHLo_b z{d$4q`Y7@85l|3NENmdRvv_nQXUK1%X|g;twj^`!dsoOK?0Nbi&v^_fKk5#s$CA>B zYJ2sUUQRFn(v5VZ*t?CTt=Pzyjqpj>hnoapPvg7A)Mt)z=`sfAdre`L_{%s6eKqtT%IzEYgzgR*_^%a zD4qpy<97!7vrHj7>VNCjEz1DF?Rf&-XkYfMqi)of1X#tMd~rYmQEr!A=>_lfMF3KO zw|&rUV=FHkReI-#@28*s|Jj4|;IoG-10@i~024VzizBgE8cHOT9i57d zlWg3wuM2$ic6$EIcUWWI09J_}=eNx=NO?<#fpgJ@O%QzhZMzH{43F;Bu9vw!ytC~{ zz;zIYsQ$I#;I zUBA|Llp97j5k1@6{j{w7Zy87~L+BN0~>-YJO4tgdW@uJk8MICnL62Wro!Nn7=X zmuGHi?wb?bA=x~f4AbplFFhQeUmsY78XCh*wIxeRr#sRQyGj%6K((>>za|IqnjFR6 zWSs8ydgt1g4yrfhDyyHJkkFALX_LH2ee_MwaJcT}6r2X%TAqX%= z9vpN-Dlma>hukP{A_5JVDGk+DyDV$f^|ZvxMMrpb zTjm|R1Q{}?Fy8`BvKKI)S&F%=ea8H4fUsV1o(<`H?3-QL5PM31Jx_}OHsA#iDT7Im zqucTxad{bPMAcyjVxKNs_jQoxD~&b!Fw0#xWfKvR_u$qeA9e=lwobw(zxwKyquIXu z&%c$v`#axC*I&DqI#*iiZ^s|b_OuDmjV*%k?`T_maeO(p2fECl8-N?>```b5`h!3C zgYhn-iAXn$@@!~RR(_+(DO5~`8Q5xc79z=H z$niT%IN7AuO8{|%W%Qjl!4tgm29eMHj!9c}f=`TjLiaJg)>Vwq{Hc$V3f#ZCijS|R;_?LXos;CFw&HZu zDtid^#@@#bQ1wXCPwJg+TaQ8Y13vqEC;cXVi5848N?%}K8Vp}`5-(w;gy=`UU-wa8 z>g~6@q+!<8Cz9$ypJUI!n#vj|9}=Kj=7G}AM!65=H{}|DY1*o!X}z2V;*SWrW%I^q z%@G>v8@dw3W2aU1r71X_uOsKc<6iv%@RjAgEEB}BU6ts6-D@i2YBTj`)AUGvp6Hx) z68+9mGwP?+ruuzbGOL$TZLZ6MJv&zq>Xmqt^6{#KcQ zjQPaYi*x3JXbbPhrNoJ*t&-$ZM3%DY$f%@#R+96{zJ&8>(x@*^3st%ZfgM5cEe)0$ zN^+-CUGv^}Pwm)4*JQmzdv~NiNpsa@EUrgtXZBg+MAnPopA&LB(wRgLaw0EnJk-_8 zIdxqJ0k*NX8;2oynfxe&$X zrAOAkL{%Z%xyDXTAzl=6;@KMc$NgmWX$35ausZ z*dtIxL3!1L5^Wpy2`?|Xxrjr|BWU%&B+!9HY!jenUbKsORH!(R>1jr1&lZh!cP zf9Oazh&sHW=a>G`fo^dRdwDGaF@R``A*nHN0b#OHQSv?98~0NtfE%0FKM$ZA#HReu z1Lzi@Ds4q{8wW%HQqg9#=e29s9N~siUTovbsGtuc`Z4vndGltvb@Nv0KOCmX_B{3O z4AO_Mf9wMjh|&UV<1L**niY-8MM72>0bv*dBr#X;z01h|`*(~kBH=n)`K_4^oJFHe z#tML2-aBoS-)x`3fIKbP=(s{uTU)%yIm5_OGVl)IQ5ak6HV_wOXIYdAunYrR24H)m z?Pxm;9+txRh(IzdC-pCZo`TF%C_(AI+EXQy_gQ`lga>l&hxB3!zX>hd#8#wmSc{k=UDm)u!P-# zPCYAGk5ZPB=W<?Z*i-Px+)q6ZYp)9+>Omd+Qd9Cp#>}tC72D74CDt-vnEMs7Vb8+6-ynzo$R9#X zO4-g)()e*7QnIa9)bq5I`C|n{v9*o9BftETG22q>vg0Z1<*&YEz>NbFzVYk7m)1xgMe6N5JH3qXg@5ixby71OeWOo$Alek@re0Z3hT zqK!$>Hj4mh9EcJ9gEnP3=_2Sx`#melE=T;x(2+#l)YrKi|cNng;mlMono{l5#$FQuZy&u2ntozL@JewyajGNep zF8a*6DP-sT4-}DQmY3;bl<%@Mg@`80tdNg%kA)f-%c)Xo*P_gr-Z@E|J0{d5I#e^P#R zIa7^|MjDsrsV6?!Kk6v{kUtJNj&d9fQ7b7)vemhgM8(o95{|KxKF{>vNc<8#2jE6z z%c}fC^fjE1YC~;aFQgs8vwutN^Z~Mp7S8&&8F_1W`kf7 zM>`EPj?S~pgVd;G-~*tGWu+`BMZOow!y*Of)~RXSNhqUX26H($1OAAHA~K5pN&BD+ z)Pe=*m9@!5bI*7KF!J7EvvR5sh&e)UGY6p)@_i6I1FEAJ>$UtcB7>ZdZ#qxzDaOFN z62Kc#mdFd9%mRvZMF!9@0H9p!k_r8bb}Okpi4sGfus<888_V_dQrw#UCY8q|=@!Y4 z6GKZw$z~uu%U*1{60L?#@}6o$6az@;z8Uj7bHO+#KF_#kA;l6s<`@n0+`szL=WH>- z@AR|c^TA}DA4&NG)S#nyxxshdBwl%2hLUama5Nzs_h05PWUtTOyR4C4BnPl!U0#&4 zKX>|h-?lVGdD%u&or?Ji#qS6>Y#^1x-(>B%P5Ov30kg1iB2v!amhQ!lsugw*wn;?$ z;g5JubRBZ}rzSmz44799purD(lhBdQnEh)rU+@$WZ~H_Zx*#(j2xVYOdIh=0??pNL zizGRAAv0q8K{<*)E`6-DRu;!9H)k`KHrLFTG^o z?WN6ql7ql8Z^O0^O23=eaqX63gUI1X|@NqB7F(RD+-AFNDNihhlob`MFc0_`a zFTf3nJe~()c`4CT&r+mY^aI+1wh54pHpifeHsmwk^Y@J#H=JneXHC)h)S~Tvx_|p& zdhz45 z%54|-c`O&knT?bN1`38J&*nG8gkS+W0?c595;bK5>6m)b#E}mtfb!NDBZmVC$ctqG zev4S-m4UzWmm77&&|-6BfHwFuvmzXYczbHY{UGT!`Yws*3`EM93px9@;!2+RUY^VO z`(OQo5oy3pJk*+X8`Uf$^-@yG_5Tac=O;~%Ke;7~dvlxG5XI?mh@5Z8->Y6k-?5yO zrK@v&me{=ni#_UatPZX3DG8Z0H(4IrOmi8`lak62$GkNLbX%o;Epy41H~zINGE$X> zswYt_M{U}U>;Nos)Kk@wBt(_4#0$rkhzp{PVv~3rEjFO$RKcEPvnTz=;Scmr0EBgr z53eA4p;<|NdFy?7>5gWioHew;BGErL)gBva4=-WWT)I0Rxoey!5iN5?eT~%D9KgX1 zJ8ND#dlIn>@M=r_U3S95y+L{;9u}7XUNjLU#U5@~8ci=(-r3dMq46F=0-%V9#9B?x zseDXM(IF zSdG(?_(wkuiAI$U0DL`fV!X4|v?V8&@lT60b}5^vv{mJY9zs`aX->P+Z206^17SqT z_GI%a%_ji&;zjc&pd9+ej4-}KM@xQ=&e6RHlI7U!CCPJQ*b#9Yo|BhCF2^(a%d*#% zgAFJb@E~v5u*CR7U+TF=0hR!st2b(1nfatrQh+1WVHsjRj3uYazIbl#{=w2v@^jP^ zFMXuP0s2<813Yi4T)*g3*`Aa2J^9++P?-Qa4cSZBB)}~+(Rh&e6@wS#08nE92L6ba zT#c=z2tH^Czq}If@JZB{Z7J$i)XiWec0~N9@4^PiKwe(1IUMBERrhVIHP11J5&T5- zmidtk;fK%gX#UjB0hm2O?t{5b@$z>cbc6J~K~L4i^Rn`=ErqNKc>z?${ZW2IuF;Ns z$MzBIjeL+l@+QwC`CF1~uh1@PCk{sV!Z%({uYKdy^o6g#tk18cYp-2RS69Tw>pd%C@#=bN4j(2az%eiY~yU>RT=%M2NufMg6# zqS}b&;=qIe&QLlBDL^-X8~`a2pIN3zdI7pUJu*~wqP^$?fOE9j z_3PJV7+&uE3JxPS_J45uQM&ow?ewER|7rU1|N2?F|LH?7Il#z%+QgF0D>pU_yb+C; zmyPD*_-!m6Lym64Xu&{bW8V%-gR=30(NL1(Ak!fm@4J0(9!#DXF&HUF5o6j$lML(5 zRwr#*;DBtF{3c8@LX38_!T+H9m%;go;l(KM|9^w-%GjjoThQK)l8e> zpG~OmYYaW$P5hG1<+9Z2^47cMv37r;GL!(_&Vv}&SFg3Cd)sMGx|t2;FJgmxK({SG zH^4qQGaTB$si7B1-lV?MPHoLM_jY>e{yA){e;NX)x!!E08?AO?U%>m)H#^eN2gx9@ z^aFd7)mm~mmFA6<9*u@dBkzrOQAFh3OXB%uc-|eShj+#Ec3x(86lGIRI!7%B`J_kL}|8_NRtphx#e_v}g)3tUh@69*S966e&z5D&N zC!GTL#{QT8fA;=_Ij$r-?}rm>p$Z%K=F-h3d!Lz}U7r7pLbhdF4u@lQ>QB%me}ZOfE{+i*u|D*&ENU_iAG}3}$(LMg8r(Y?!6$*WQVP2{`e1Vq&bc z=aw8eV1d5h6MK8402icJ((M`XHhW^SY^=&gR9$G#Be$nac=dt8CJAr;N!d#5p*5*? zD&$|vlI*;Pw;z^;`wIcY^Z@|uCmCE4@7Pgn(E(rs5C~udpoZOs#}qts4?8WE)9(FX zhJz4%96K{pj=wT%(3nYS_~`fKD&WdlvggDF0WiZ6P}4LC^634 zIj-;CB5Jqs{9zL1*$ukwJV@b)UT%8fmzO4?$lZa8h`TA^5kL#xPXIA)6su*VfNgA| zpWbcmgr8DD6W9a1Auhn1tl%K*F9W?O%S*G20oo{Ac;@sP_=ad~DO<{!E8i11<(da5 zJn!Y^*)Da;09N;JKBx{yxLK|fKD}w+?ZKT#Hew7q>CY-G`3!<=oU1d(a0NJG#*WYM z!V*o6Tjz?=h>`O&VC*rX9?Kph@9a6lZ0}lIZY||~SO)o;(rdd+@k;GaegVVmRnQt!8lz=H`mrJd zAMZBu*AGHo6B@)fW+%$#_^>ycCoc@5seX8gFj#F7WC*fB`MAb~BdeQbM7#_!2wsvt zFRr<6FE46Q0$6Zx1Z6qMHYW)lVq+gln4 zuB-k@@7M!uS3p?(!L1+iiQoog^lT@r^u}OtydN(zX`P|(+$}-!y{#4 zOJQTEjIp8Qq8gYbg%$O)3ahj!>N8oU$pF6RzE^}?d`-ED0G~)dZRB3{H|=WckNBW2 z;`nX=(9cz>Zr1i~;yd+eGS$oq#o3T&fmwX~)bPxF= zqbTd})*|M;uuPo9KYMbzy!!6B^7fA}m$!fPMtS`^ua>iyPM7JEQ~G_v_TY<3jOTJI zA*bbArNn_lTf0Nt{TvmD@;Sq`oc3-zuw$zq6lGA81_hPo7Z!ajaQb zAh{%YMf~g!w0*K5duC0m?U|I`0k{GzBB6w#r^NGy3%TT=(jb|H)-d=|;KWjv z6>@?lo_sZA@f$=r0x$&75`%h9u3Sl7iN^*?fF^jkvD6R14S>PknU(JDM%)He^D<5Y zI9mqXW}0eK6&Ld4@Qu2N!vb2P8lVr4s_saB3-kjj$G!9^rpN;&!{+|%^~US#;=NXV zP~1e1?9m7QkzRlbA>Ur=9QuU3r!^4Ab8?bXXE&6O75%cP_Tk}bVL!GZoVF=j`bhR@ zlbo;z_L|4wQ6J!ui@uB+WC>l~OTP(F#=fn*%yM?Nci?^6y%Uh>4~$)t>a8syDfS_3H`(Ig0U;(ImUmC`HGVt^EYA}SsrTLNwA*+j(y{RU)9@23RZ_EIr`>K5Yt1IQx zUwm1<`1MtvPznh5@b)9moYBei9-3({CUxi-8!TU>W6cmoO&kwz!)+h^5&G{LG{r@y zo^iQe=r4@vFgBREWmcMdJ;_~`z5y-io;7W00+gFH>#CBVoQ1;!N50- ze)83$k+~Ow4-9?0w2+U>O?qO_KlqS5k`IHVeX1v^FV;QfpCj-k__D5YU}>8@yp;Aq zDdo&yYy|HFg)Q9!tYU!P51AT7QTz;iFphmlgUYob8IDWG#fpsepaPTYg9C@%%ccw$p>SX13y*(xK1WrFl+NoBL3wsc%$#@S~ z@koowo}iqvJ*qwpPbv2?v~9@sS@|ZPiWi-r9cJIUIKTnD*YCK`5kE4dykt+LjbJY% zWTD@m%DaBc{+|;ty?2{FN4d+^AuqOMZS?(mCv8&epW2JC8><7d#5ecrAjTqYD-Aq` z46t7#?;*2HnhSi;u6hfWUHC&wED_~}x=emu7Q5N4$UuSp>zLF%{n|+%mH^Q9#`i9k zO9~g>K3h(lJ6>9|vHZ1{I{YG#bxOf?qYBR(!5{iT;4^JUj!Tc|p9j70d%B^#0B(tN z=M``!ffm5F4BaR=q1TE@T6jtkSjNa2a=@SN4f$UNdLH+5%W@`Az5s5Nao(ex3Ekz( zX8<_L82upN^+^7RgA-#2&ttjK>CWBfFocD2>&x3-PI}|>Tjk#M2M)RHz6zAVSFX=yj|X9BmrCz=-~H4#P1opnU)Mw3@-5@p3}f1ehe)5tD8uV z{N+AyUREf>IF^)7n77y;P5Poi2!lu7@e%|XFc`lWG3H(IAqk8~y!BECy`ccWZd%L zNSfjS69XJ(#QT!xl(Wil3}bv|q72KRT$V8l(9vz^?w8OTz&1AAZp<`F^H|fTqEdzi z_RtmT!isXJ#5ldro0s#hKJ#48a+{xB@{O##M0#qxtZQJqtP;YLjzMdB(jAnL5uPFA zjghiBuKGGQRMtk6j?!3F`S;r-;Kb6VbRW63%X(>VNmkNzK!`fL>XIf^{xhwK(onkW z9Y?^kuD%o>r|?P|cL20lTG0Tk(#1OS{WQY!az^~%HHMez!Xl?2M!(SuVJ-pSpg+i! zrNTp_YD1*tlc@uI zMFSbE=^fezwJYlY{Iq}SpYtFLJo?zrt-ZAB_LemEQZSa8;shW9BqYu)`iZJ7!|vEi zSy=Y8J-Xs;$-xfT3hns-Ys}s=BGW5wCk-fyFUyrl1oEwWUd|^QiTL)~Zxc8FMH?x5 zQoPbH(=T$h-Ya15*fx-j5bgRCJoXfyZ4}z|N!capd$H4aZ(}VE`BGAjk2nm>NS+3i zyYiX966FUkw)K=AvO=agNf@$=N!t~`9{N{3yC2&n8 z*=0w@Y_nAXFq1rzH|I$K&ouN4JB^c5{jB?5H8zeUo}<4-mXm8|pwmT1F%|)x0LEAbzy`g1XITK9Hii`CiIHSOq|)nNiO!l1osD0SGabEWHZh*X zQyO}MA{$j092kGf4?2NC!mKPOaL#j@>)i$O1+N%#{FWz1;eMZciZmxD4Bi=tlgeYb zVf08y3RQx8Amr@9fs7oMQOum2Hu$uxa+|xq=vh$Ww}G{f`1e8vbi@P8R9I?@7Z_j; zg9c{#tv@vwrR06;_*9vdzNk{F4z87jIklhG*Xp4I5_0wcMMmhz#8?^DAVH%{{7=rX1b4D* z>2q5$TBJVpv0P{u8{(fqAYjRo^lw3JVqKnRYyuj(M6 z4FDYN2VSLhE_WvF*vqZhd#$B@8cF~fO7N5?ZB^~O+LHYcaT2>HrffU7cg-7kw$*Opt%gnH_7SzA zmOPbDz#sZ<`f$KEKT12M!~=NzW*(-D48dURvTaCR*|K zYM5{G8+K{Lk6ibx2Yn=X^~9ri&#@=KQknoh_wL;@K=nL(Oznr5F}QW>mOb6b7wgRdwP?5o*?1vu$`XK#ko&iB zk20VvkU4>6!dcGnxU)mySpr}kw)_c#IF*`^{&TOL61+4I_nL6Y2 zR)a5&LB~i&cBE+?(C@jVA!j`?!t53=!=RVh&VG{ftGr@#nQ#5$%FH4Gql;y_@W_2e z3-F%%W#kO1^X;Jo14@;Lf(HUJ3Mm`U_*TJ7N^Qa4OaT>t+s@5seuDlaKDm7 zz7rZ?a{4M@)w;@s6xNg;gUw#^7G52cvvi0uqn!Cc?^D(QvLhPIZs|D&>6G5Eq6WIh zi1z-2s$U`3J<3!G8KBfabn;}YEK4`$q_>MJ{XLPGLFv@22J*8Fd!0R6SvBZZ7quqG zed=JNIqK65o2HHY7(>@^Ng zUhjt>=<4sAleBp ze^yX$RK~02w4(s|YREX@xN|^)+8Dyq>;U3zO8*H4$0}fmrTqKxE_T~Td#JWUVpE*5 zv86Wb@wWjeg{@H83%w8%QLWaP!g%mTo0&m%CFAN9%yE2pk}2T%w^kkA1h_@pZOSz0jZ=l?@;UB?d?VC<0gmfB}f%Gl7cNkIMHvgE##mKsOo$WXZBw@|IxMpc=1K z$t+g_pP9)3WJ@p=nZp}poDD3rlTU+2ij#7~tvAap0mZ{43`>k7Kr5D!e(~!o<;rib z1?YD5ZdrK1jN%@aN+|2rcXh&PWaY_6P#A{DL(c&S={GNXoaAJzFb*(a(^w3nC5#0B zCL@S6n3-iZ&c9a%4Km)V@pw=I0Au!(89xYv3S$Po44%PX#iJ?ZQ^_S|#C?78BR2M{ zydW#|$;&G$013m##vgS;@A7;aur5o=igZTxyURhk$(~LO2E<#pTnEwo;@yU4A~VJu zTHu-FDt#NHHI-X#xZIF##p$5|fEkcd+WjQ-a$3gb^yz6Y*#b;xSA$DJujD04(y4J7 zvy4gchMscWOS%wx#-2$NC)9r(Zy5ksRC%@g z4Z10f8Kp6OvQ?Hg*2{yXoESiJ&DfMsK%98>?kv9wv19;v^X&-xtw*M13k(AL8{Izo_G$_8LzVTrW@ z6MHr33hGH8gxv6Uo0?GHqBdng^?Y$#J;qC0H==lGZvj3h z09C~A3LEh+EV~bzgV{RMcXG>|=QJThrb zH5^np2Dt#_a>8bfCFQb{@MtsmL!i&C%FyNcjIw+ZnJ1M2dK~s1J(c<%eiU!i6@K$7 z2k~bQCwLbj5A1;SumYq@!fOh93a>HldlJbuOW1)9YBvU9yVyQ+-pFfp&9YE_;B#`e zX}w#Kos12ZHd@Fd$|>x^^~!Fo>}kqykA3uB2>xbHPTBT?ucbLwr>wYKY%f=3-zyK~ zJ8kx`>!aKgjAXC2%ip``lSxm#deYu*$i{mJOCEYdkyMerM3kT#f$`vp6DJJ1g`NL= zfo?gbWsLoQ|L^~G_|~_+RsQ3D{Ey|QKmBR-)DgYR6s^(=Owj<-!7@-9H`ta-2l)(0 z!*Bhnc$ppzd4`vXGJiYsSvQde9Z-5M0{SJ`mdi*X0JbdSod+c(&pT=7{pX>~Faj3U z2|v8`u-yFOR{8QbUzN{(^=0|=mtU68etD%_`RH1?@#)QS|HcCwix@dJK%d3Be&;z1 zjE?KRjMxmZS!>L&+U0%+rIhf9!aE8u&IXJIt{9x1Sx|kqT;1ub?&+TQn_%Wm_jW6X zeh~3uc#)2QFd2yOgaJaavaEpodpQQiuJYOe+@O??~sPlX-&|cw)n3K3iszk3VDdRz{sC~IQ+c9*ay(!`@;*8b@5D!6fVb7i){xo&wbjyFz#8~?HphD>*hd%eYNMSRQJFMG zMoUWpu+2+pCBxxm)s!VYv#?&)7V)}{38h}_0P@H(Qx1+mZtT5E&p0x-Q2 zGDBYW1mrU}RjznM(dN^4(Z*8mpGD{$`sc$H&>ivvpdkLdy#qnEvH@(% zQ{VYaUu3&Mgsq78Ahr><<3ZbvUdeS-`Ag7@yb{QpL-ieba(GwAZsQsCq2J(B*>=9A zx3*ic9k9cc-wD|eTmc)SEGt{K2YrST1an=GOzF?Do6#|slXM3j;g7rkUhc*AA}{3G z;I{I|yNr9-E(Cz>+#9cySKmEXUVHC+Irrw7a{AR1u@qWmYd!BR8!se9{oL+f$!~_| ziCl)#OUAhn_(VDe9nn7zdf}IsrUC=ZfOsePh9X1#taONqfHxQ(Q+e3H^WZVnFG_DP z@^b&y2nGL?~FP)G&_#)1t8 zh4g*{xQV5ZZ39Sj;5-v*|UodGlj^cn9(fUWU{?kNx%^6Idp2>6~nhe25x zmJCD=AV2tIxq&?Zl`aDu24BdD;Iebk9ZWtu3Avy*7_gj-%E@w@%INBf1}hrqV?_5e zP4D-@(nVd@lurVnB7-9G3rXr~KStDksBb{m#Uq=IQ+^160e2eo)*%Jt z008|Y>IL3{-gtdXgO0IM*71B&Ug|ikA&CKRQ{{vQky0_x$9`^gFB$A6_Ume@uL7v0 z4WjN*j+EzN0B?8@;cYjoev?i0?V+iGKSj_lz*WWVbnq}5!owG^l|vTB^~3nE^lYQF zDT~dg>lt7dpcjiGCpIKUh4p3C2Y?Ro-cN#OdxI&kJQjVWZHLE|P1Ws6XX*l_A-vp< zw^esoJ?c6DEsD3O*hKAY@hbrk^wMIC}rPF8XUaa;D7OiC%#;kRbH_5C=8G6dZxVgt@Guz_b!yPm(P?luWQV9 z{DsoOoZce;hy`9(8$A%F96AhYjR1 zPVz?MRfjy204Ycl*#eHSJ|A94lQP9!`1tYTmUn`xd*La|jYf}h%fmGequl6lAKsZO zH$KC|?P~exZ$Bx&{>u-`)sL=~d)FV@I0L+@)hH7YKZXbf7=|LVn4T?_Q93jPc*2a| zc-&uT+vr7J7!-g@06HvPzyR=`YBF-*IOE-qG5a*4485_h3_~`O#cjWHD8ao2^PONH zhEuXI1e$ zz>t(WXL<*b9|j+@oX5`{^MMKMA2*L)VVK(BuO93(VR)h!Gbg6);kKedWngbl{Ql`S_ksTOMREFl4D=t2ySqzNT8^rKJH=OLCuJ&>_Y~HY68} zZI$cl!b(|_k<0)Mve%xT=d{O18i*WpU#XpBy*b`0t=S3h<;GIPHOZ`>ZGe}~G9Xa> zVZ-~yjrFoz)s=p$1GEI#0A)&P&Q3OIFiLxUy)3P%tm;zu zU1&mm)AWSux%w>t#wE1@bpnmgA^;Kqw-XahFNMath&|@|%?&bM$NNV`416*^q<%te zAN38i1J6o451&Q`+*F2uZd+~H1bBJjwL{&kL45Y!5>M%!2sq=~pzmBsvrgS1&4$AG z@Mvjn4wsqDQG2&7KA^qE!(H+^VDi*&dpAo5S!#Mr?KAZg4>KkX_DYtC;-vYbpJC#Q z!99Q}eKd9geOIqyBQ9(ZCNSvVu`K}NJVBuN=r{HY++TG1=y1Qv968LKp7EY--}>p>>XU+cIY>RCD2Agl!5QuC!}W^4QPh_f`5luZZ;@o2+;Yn zT=f3UhvhbhBz$pO;f@bXU=KIIn}dQa`ypoLFd#9&EL;5n0x=Va(TG6~hXd#_VYfaCRf}A_Io24M{yn+BWtTZ+ha{ zs2LEE7td_w;6PVo;$;Qnc;BhKWvpTd!YB6_NZ3mbW2lma2QSD%ydwvDy78Gox_*oJ zBaP19CVDr^$yCV%`3=cfG)OL9^6&(o;QDY$1A-N#?C1MUlnn-_XO0^Ry5il#35N{s z$P0Ph521GqitV|;;0`%(l}s2gv@kMd=;Fb%DC3s;W|`8CRI;=Ojh<(a8&}Db$dQ}) zqMR6nppPDq=pDB;N}B^3no46-205G01H6UtesIcioS12p)`?abogDLibaNQ#)S*5S zOP<+ZZL~RB7B<$(yn>fu@vqN1K^aX=HOlmKqqH~I%Okbzi|h68XNHH%tOg{(1G@;+<7a-Qm*tkN&VDY@#@+IkbT@+qW;cYb9 zP}?;zQnu7|uaBsn4aG9!XjocFRGDwv0m}CP;5n?by2XR)N!x$2Nz`<{A?`0f;3qw%@k1 zn<$q_CL7d_ftck!Y^0HsF?%6&3$O{9(Y`W$38>4`d!HhX9U#3Akm=dv_y8`{m#7FB zocJJwEtNm^1#NWfFSa*tD@AM1v!?RSvRal&;>CmvY|`qACl^aUzX7i3UHWbK;_4s8 zSM1%%vs;z{zvJn)tiFN1-~FLNr@z;0xsMusifsX1^Dry-{gT&iTYmJLNEbjTmQbqf zuo>V}^_6-X_DFc!!!NRdqTdzY^urPy^#PrUXQOOv3-+m=KnAg-uh>=F;PTSAO7Q+l#{_)P&p}x`*2a%V6ozXI?iWrL7~3< z!1cG%!>JQ-N-c*YoPFa=IsfL_^6ES1ysVT7XxAN;=|3l8%m{duo^I?#&S45rmd*1* z^Yim|D7kUtM)~l=56f?V``hyFyYH5N^Kbr5`O%MlR6TV>FEbs1Zu=lA&C3kBu^}aS zqv0YX=+-ZgBX3?~$S6VNWe%UCuM z@lj4Dy<*wx-4WGOmXZL_v3Cs1hnU&+?6%6%@z)?G%9!P>-h3IORqA3d1A|@|r{pc3 z-3uWq=U4e*pB$ey=ow{Xug}umG0BIetOmEGTcKYO&|w0D8PfNm2gKP`2K?YbJqEV} zgDDL%FtDY!qpBBU(!n96$-xQB#Pvh1o3Q zlVd(X)TfA|qt);IB!JD?V@(GRYq-DE9tilApxf+JqqNm7JmkdC0fTPSY7>s*B`%$O zsP^r_V*5})Hv`oQqY4vcq%=y@5xm^+e5#A6T5i7xDvyy-wUtf!0@c&TaCx-0QXa0Z z_{7kiG&M3-j*X0$rubc)TXmrQ*iYNB7c#HZL-CuZezGKXX?@MhVrg65MpV!5myiuh zJUJlZSYx7WF0Gg42eN(USA7cd&=x0~vghQOpPOG;R#1P^2mPT;41}s~a&jtrT9U?s z(pZ?^Um6B56nyxM`X+k{vb0qCW#Dj+AX&tRtyl4?K%DH42*AQ}NBXk8k^vJ114fbq z<=}%>q?go>`3H**^xGX}Lyz@uf>TzpWAtpChRUY>vgz=u7B6Di@zH-+SKa4FK3FSD z9Q+15$nA2i+z*( z!+IiBWsR-JBq8s5I}`=K&%1r9uXvzMpP01m$HZ!z$yJpRfLqv`VRNS4^h~PCl=7f$ zB7|M$AKdQ~RUU{0+5S@gkwI*)!XCBoAYIXW!$Tu}#{l4ROtjkmOFk72Di8RBkF#%{ zG1$go376i#SYCbmoDWL?aHCw(p7`fPJ3%)*#}agV-YA_~0NsA~yWf@H|Ni&oop;_T zfBeUPTz>F_A5>2r(aTIP^zzbfiiZAxEnAP2%S);3hq+9#4ode|@`h&_pcHwt_Y6kF zK8dn%C#gW(dFpHi15P5+q2XjXX{Mi`n>)q>(4flAc~wWt=KQ$6-@Eb9Alvm%Zu-Ck zPA9#4?OvI?H*Z6QXY*vHFbbghI!+IWWNZN9*pR?GNuQa;%v3qbJoi4a(SY%V5vI=_ zuuH~;1D`Q6bf5B#_yOKVDxiqCx66+>a^E$KHg94LNGD^)d#5q0tPs3~v4_z$qPR%I z;EKVw3Q$pegCg<)*aKhA8+lX!oPm%ROHAxJP{}Q17Dkw5m2$J}Dg#ZwTQ0mqJBA)e zA1o8eCT3zoN01|;!eghz)j_P@Mq$NyVkP!ekyikMLU)p7)xOg^aaLEVhIaK-T zzGvW%t3Stg%R&Rh=2R@vU|9vrSzRPm8Zpp|_qOBbUZg#$LAiNQ;CVbU^cT7)S@^TA z-1mEIQVlN($cTY~4P42SguQf#@6|o_?m^$Y=Mb`1NS)1K-9`3_3*o^BU>^Ay9v>?k zs-NufWG}?Z7(Xb%J90#qh8r5h;9aA{4OB9asGd70Wm%7D&^R_JnJG=Yz}Vn_H*ceZ zkdg|$R5^`JD7}dhpTf#ARy>9%Q-VEXBvUr_C*X|*0KkU-d>;4bxb_kndXG);S*pk3 z7>&`LrT`kp@?#uXG9Uo3#CD?_}UcAr4Vcd!Tf^U!L@<-*WDS$SdAd=0)A> zI)@RYZq>{W(T6vP0`0rx3?H-wY{I{Vp5(I%@XGHKEJ?-tYc2MHB&bWNo!}w)^&W2u zA)#n*<9FZKGm%f?K+n%h3CHqq-zM46Mv(xZ-}sXKer4h17v6t(wxu^=@Fm6+JelV{H|z`B82TxIFZ#uJp7QseX6iG;KB&Cu zls4~Bc26oZe#^Ln&seGn(8WD?#3r?@t3KQP^*$(g50JED56C`nzN@&&8{~;Mh0b1W z3I=c4zYU!i-^?Glob_(#l3#Vcy~@Gwg{~o^EY7EuDs>1QV1HaZ+)i9LUe3S$O1bdv zE9LwZ#*4YU^m(Klg95&> z@`@{-d6zC-Dre80t)4ofmzj<{-S$CLmYX+kzLcJBtTo3YjJ(av%ozMikFz|SVn0OL zq&FK45BtXP-CisTfM4m=MtXz<`uf#T45HkukLt`Z5I7j&Hi4z23IJ^j50=Wp!^HqX zD!?VdmhRJ+@?O8y*@jJJ7y*>9Jdd)$;KKXN)`I>#gIO6jdnJqtjHCe4w!sn7rX)R( zAao2)8MXjyGSDy%We`}H)V-T{OkQe1-gAYTrGFq$qJQIegjCUErL)Gud1P?R#isinNlZ`OSmBCgRwRj_< z2LO4b5r9|qo8pe42|*?1Kc43qzL35d?YsjZ>dl(PQ|zUqvQe5@AG*on;(qlTS3m1E zJnp3do5nBq48$r8bcM7=8sp{=FCqhB8K*vnj>Y@iaq!6FygZ4J$)pTjJS;hsv8}qX z3}{EZ#MN6gPbKOH`^XU1r1MLFQ_hP*pVFY5vTR3MD(9&&De-VwT3vInUi6VXP*8B) zZ)wn_0O&?qoZx9M6FryU*BFCe-6Q00(m-GNzjLkFoS&`1MZ{1R~(@A)YHJHp$|3^y5 z4>>H;x44f!7!e=!15Yo~5;v}M^cQ&Xa@{Mr-brq>HLlmXK6V&FwPd!}vP52POC)>Z z>h^kL0tPR$Hr{!v-+L+yw-M2g!EXSMid)|mwd9~aQt@x8%~)Aj@rm#BOZwSzb7K0V zf2FT?o~nCKBW1_^Bx!q6(E!YF*fENO-vZbP8S>rpm)Tk=z$2#j0&d?jmwWmV-P zCX4alr3{eyH}gTdsV65c94oI}K2^?KI_1yDFU*$dQ&aX-#D3>lml5()+D;#kRH6HO z=zZ9CFB37QynXw&J>3A@o@Y-t#@38MuV24ju3WiNu3o)b-hTV-@<)I4N9DWU{ciQt z5xvZG1iI~mUUtxp{E;_2!4h;MfBOa9C=&+$c+e48*G>R@BYpynB_3`$Ls3V^Fo<%C zPIR*@%`J77lH%QV^`o!Loon}E531>A%mAuWr9;lyHN28|k1OBzVx;y;X#@aXumL@% zAK{V5(pS9lT!;ER5PuTcsK(%xVG$eIHVq(YTw(*KG0`ZE=7f#wxx3OC@rTj2mpwfC zP3)&}?98moF;62iPzpfF0APRw@Ykr8e2g%gs(?WYPZ;Y-QI%p4W5ZE0#^Co%tqeoY zNNd2$Zy0D{BuWn|tC+fo7eg9#{_cBW0Z#J44{8L|OyD>=l z%s@@o054-;gKVh_@JF86H*QFI9UdF^3_B+q@=QO8J!FoZJ64XJJ!WsE2M?CiW-V90 z_J=5k*)vnpr)dr9*UNpyKex19Zv7z2iGd~H!N#}-)@tt7aD0-?`vvTE6FS1+m_4yJ z#*_|0iI5gRPkMvlnbu_QF6q-_;G5#`Gw3Tp{Bh+U%x?DzkM|GcQ_=9UPc7Zl&k3}} zXI%-3gDXoL0p&Qob(y|tW6h^l()8Km$+7lM@XQi8JekmIpH!;Bl;i5NjC&;xPdLR^ z4Wnb_zS@Kb3V6C5Cb4(g@nfxW;#jjRZmpNwt4rQr@VMG}_Q6}5UoZ3bmP>nXuuFn> zqsb-*a!mL@kVmV_3M(#Gw~RfODO&2muJmJOWUQPRZIssLaGAR&JLn!KS$?xTLYGx< z)izIRa1S3VYJ=w04=$;F?+0al0fd=uHOhcIW>-YbJxHNWf;d7Nz~)L%WgGhZIwo_D|C!Z<)3Lk7oAG#xj9>j)*hCVAhTQ;?l% z;H&?AOgC}B5(hnC8v;-R+F%E=3IC#OLfeB1d$rBz%Q=0U{XAn2vr)^^_S8MePjMcU ztV_sE!CQeSA57@-oj#i~0%T$t?c$@hZCt=Ax3XQ?p+5|;ZOrx+0nl?!WsOa9*hD^= z5C(K(GH&WbtE?`qNsfzUS#>i{E@fo~wk#)z+TK#Y#tFb}y)4Zyd8w=?M5R+q3hpG^ z=y=+z%r3rvp}g~xH_GeZyHJ|P*u!>08p_0GtYAoDe1;vzn1-JaKGH$Vcw4)*7Gbo)`ccl|-Rd+mO?@%gQC{j*#C zeE;SHgIej)MQ3aPOhzg*T>uUS7`!J0GoN(uVaTMHlZ{Ie;7$T{e5TWWn%)DBq=%4Y zt7km}Y6EB71`&JCu^ch$(;x_5$iIyk4a5MnG{RPXm^IuA07!##W;i(npqoDfK$0P# zk<~^2bwC^i&qQOS>NDBdPo4}ak&Z$hkdQN;@J^Y-6SKqyj1=l7mnFbcW8Audry6=< zAt=PMTf8M7A0Wifk)H_CuWBZ`Fv@;72P@W%68DLXzRN8+sXx-%QBdw^~1Jvi2E_y7PkBL>|l=iLm~{Sf6#J+U|4 zWJ6)1tSJ5^l`~!-{h-u)0OscLW|>e}QD!(mf&JY2Nt9`Ga=f$@R)#kXbhHgFQC?3d zq+KXfKz!?BZ!Yvk-@853@J4f8v0lb$m4I4!n&DyP{o^QqrOR?dgKflvZdLIRzuu1c zc3hvNQxJRovF8$X6OfdB%j}h;-y-l&NmrlH7JgqBKL+5Wyj&?4>VTKWS6AvBf#q%l z;z-br_lXB;F?pc$$tx%6u2us}vOGw#%=F*n=y;hOZ+OY(+~SG@?bKlsOT=5PaRW&l zuCOYd+!)?6_)1t=T-N}5rL-68KXl_+#L27dd&VaD0J$4O(r3I;X>+h|s^@ki*Kq~v zM?)GtuF%-fbzS$?w$z_-x*{G--;9NKDL?8G=>uR(bZkF;S`zV-4&~8Q z{On9$MX@nGXU+M}^?m5q4TZIzVlqw2R!dxBMyKk8HcSz)i> z*RzPFp6vBTznXnC2Qpw^kfs4F)epB_(% z09t*qS&$iRrQ)}JtA5(~sM=4;8a_jg$ZySUtaU^o^Xs;k3}DVw;svM!d_)e1L9Qdn z9vewl^U2ls@J3W$Biob{mLnhA_7T_28)cI#JM8I3KTmm8GP13!_+oVjz+I!9Jb&Cv zO3z+CUCzDrN;!S;M0nV>nB>I%iE&hS9gVg_<*az~bB6pqe~U5;z1r<__j}JXy-1)N zJYKtY&43#`v&Z;bZ@pE1`qQ75Z-4vS)l*0GGSd<0whwyQK{xUT=!WMRjac{IYP}F; zkR1Xt!h4SRk^tC<8?X(KjnLiL*F|-e8%FBf-MRAU?tHoW(Y5mVudbA8 zZ_l|?1_;5GKRVg$(4rFz9hTgz!(lkFhZ##5yFof0;yF6)&gQ!-3i|#uBM^hZo2|~a zJRnQJE|(UBAsj~QAnH#yk$()s>624s=H#?^(4dCAwKX7-k;2J!Hrm7^dGt~V8}1fMo`nnO6))mbMUg$H;fP6MA1aMOn5= z>sZTaGB66z>G6TbZh#7U#eb=LD1$y(em1VE@BHmXen#Zk>|>Mmuxq#Dpaw5ndqTS1 z^q7qF5#y0Rf3*|$^|yrtjtOn`3sq-LCxYsnK{I;p3$HOLY&xMp>;)`d=T^|wef$)BIX zFB_fD%&MPKd&!BRa~h}_qrPNDZS|`1IInuKq^|NlG zjIARI6Dq5g29bD1QMUk~Xit_@ua`B5J#3;+@&0Zqf55Ni#HhU?=T=wknF>8gn%;ks zcU1Hz;p@YvK8&eiw~n;u_#;Rb}J@xYpjXrVYK?y7;<;p$YCmz5yWJUv-U|u%xbrO8^;~)hC0t$dbc&|OU`LNvh z;#T?k_czKHA6)gaQVvUaaO+W-ySHF~EI}hW=LASRt1JT}K`=UR8&3M?C4dAO!k$@k zM;nyy+i;T1rTF?i3>P|X_Pg?uL0vJrB1q2TV}912b$UO*y8r`8cTj|3XagE!UwoQx zmJ7aiRJyezAb;LP&TK49;9Ul0fL|;fV)oX97j*hbL2-2l$4{CL0c^n!aa$)< zEG(OCkY@$?e~YnP*fH||#OX5qu)OP|LjU#?^NeRNB|Z|N#AkEl8k z0CC1QHK^9-QGz~?tZ&8dJWITKW@ANV+*Z4%>(;9BwyH=J_*~d1Pw#B$%4vt2UBR9( zI|9q_b_=1iN}D!CIteXGCl{rY?0>aeT-#|WZM_R0L(W^|cT9O8$B3|;9eK2*lW7{bM*d9#4BC}2G z96if~B=!z`q-Ps;3c+@QzVjP49tRKr)MX#M7yav*kQ02VjOf>Q_VI2j(FO4Y*u;`r zPI0B(Mjyxvpc_jrDGMexd57om03(mK%dp7|MC&~YH>vC6L5VaoJ===nk$aQ{Wd&G^ zrz&~t?z8#$4H;B2PdV@#vU0u@H|4}c>g=hRa`M9Qa_03@<^0>{%BA;T^C_h#&mAvQ z$KnLnSZyJ`sHLU+7ScU*%c zcwsz_V+Zm`N0H}|awXZrhYvkQM#dbZaQ^&xUytbJrx)JS4I&HK7z`picue6I3V?&R z)R{A9T-gt+(dj3VCmIAAuw44dHJ5+xMk(`LN(#7@S7ZX9mNO{Ck%900J}9~M!_&>W zhGC!q*S#C}%dIc&l$&4PE;p;|{p$}5!U47c(9q%TMJEvj@(933hJ}nfgB+D{K~xwf z?!=|@7#jI}0BdnlD9>XM+9=UW21S;`NC=Q++aMZ5ok@aM17KqqHDMT%PdcA4Qkcb! z&o;tTr_-MGyOlgJf`}&#HvY4*gFzs}HNE!|tipgwppJORGa-#4?;$3G8`-cY2L>U+ zjdle?CDI2}+HLt}okY6K2xFMxfd#l`uOS8Wki5cox2*b2=u~sM=^1n>S7+eoeb*#E z(npQ@txJ?&O9m$%Zk&qBl07!%w&&Cy>(&!VWg9co8VpFz6SK`Sth%&>*9~<>de~3m zG_uyQ38gh&7NqZs0H!WK>2IIpXMI)OH|RE_c42zl8`k6P#K!)f?bbu~R+FJ_k2MKG zwIi1Hh!-D7L0zhJEkIoj^7LMJU_h;w#%a3UV&5R8%W_;ia?(rC`Ev+e=?8g0ufSeK z0GaHov!rwhq}40YgpdI*L$fYyUy&nWOAismeYLz)@q;5UpjUod;-RH>W>eqsC0y0- z%bV+^tu_QtMwX$nzg?XK_&BXT4KNE}ad}AtSk+NvQO6#B2cg+!qnw;<`mhJ;GAETT zs~^CN44J{N54SjEp3(1d>D9Q}qVP095Ab$WeL}A*2GJqpPu&7+n~)-mZ|Lr_+GPcn zSJH0LX7@^|-+)MXb^#>O-iOzy=M+Xys*Upzzoz|F8#?Hpe6PWX`2^xgZLFa>EIP<`{MxVp+`(8;>CFOjWgx! z_%Ch@Rgw(9P1t%=N00bA@6s8hbS{b0($9u(S5Zo zq0jm3pb1d$Me%fF54X=h|J+MV8DkUPeDlrn!yo?8d%GRc%TGt3+de2kH^3VzIG`J# z6m%GkPCqG+Go~>hPXKNio(8%R@{k1L;4^Um+Re_+`Xtl@?`WhCgZcrwVIX=bgN&Ig zzx}Fw{12a%Pk;V-`TCQa3O8)v42m!e#~5s?Q)aKL)^y98x6(PMfkMETx%c&ha_{<1Zeke=mfqbv>eG64)28RpVhw-+p9#b{&S zkfk{euvqsp*J%ZeECvPnjF-I1*c&8ed&2VD<7baMAF+w_oQ=Lgl_kb61|WxT;6b$T zs9hEpR-(;yyIVcjXTsP%e(t#Q4v6#M-lEg)C)uc!0Zg44mA;HfFNc)wvdWt@_c|zi z7EPXLmDyLON<#yW`*Ta>!CbrV8{EfWU3pWUHd`7bHZ@q6vXBlS0RvP9!A%*>Q)8-& zs)Ou1#h`VV@wEnXfY-EjcoZ@~X6YXTaOAO5=L}3qjsR|>E!8m%iUHhMTH0^Uc?U$j z^;eYN`@TKH;Lt77-Cfch(j|@3jnWN641$ETw6t_chYZ~VBQ4Sm(lvDY@OpngYdt^Q zf5P6^z4mpS$JzgF-HqiEq1&Jl_9eT0pP00TCiNB#%Vp>&6#~CR&+Vv?5gYVjffGPt ziRti&0WD(VlhuVhsd4bs85;F{R8|rw1%$wp7r0gt+9EY?@0T{3o9P3Cd#ta2b+$iQ zT`cur&b!D;9$C$jhUu-`O>TSKLP!wL^G^_vK7J8X|4=tCF|3iNchof6B<{vDGz|{o zaD}-dxVZ(~6fXki#9#8HA6nLcn$7?*F8qqZz?gBlJ zZbsqnAQ!hgjV(4=Ve%Q5HLlP%=*IS&afTG3gFF=HoMImcZjX^Q^UJ5B)}ngbk~Z_1VKs)VO`&gr{3RQM)^U%?79)yv*t5Z88pb5n z|5^aIibWw*TEb6kuDPcAQBDRjRAKCAn3fg=<7_0chF3Y8o#|cy;KnZJc%Xc&=4T`J zU+Oh}v-ZK(TB2Jo@U{xAI$wQn2lxP0hx82BLV^6y6iLuzj?@kfy(B<)#4<&m;pOSv zx{V|tKbWvSH^YFU6xP5bAEFV^T_F!{2oJtstFHW##Vf>Q?OpOVBCF6=*26}0OE&H4 zZE5r>qVKiaRXw}u8N5fpUM(z@zGLVkd<}f3xx4}h?3>n*#XC9Pix^VC_ULT``%B`L$f541Sm@it(*=QS0X5EUEEtauUb1P z!;8MJpA}7zld~mb5>1JDy^!22n#U>Uh~zMed>IITfh;e`ndhk6A*1C`BL({ZI7wl6 zP`Ms#(Ia`OXgD)o&DzDWK~qDTW<&%12k1lj>Cr`d3*;PH$6OQ(!N<&(g0@5~VBvnv z$H`A9d}@omdYi}Qd8gk(w0|B=F_E{OlEy1=mAIq;q9T1QqjSmwi6Fq-vj`7=WweVf17?9f!0Uy*Yw=S@qZnA ztLXQ0JV@r7gk4k=MIoOqlc1=%vuujA+H4AOtBZ}VYr(ty6LHcm4O&4=tN z0_^J_`(sqDb<1qy~#hIt@f&nH{qIY}~l!ssyE!9|1rZ%+>4G( z-Ra=wRU4`%b$FzWQQWN4=Dz2(Z}7M;D;}ae65qCk%EU!nN?rn@{YiK*2jG&8Jz};# zF0gwwV`%VdHasb~aV+X6Ot!@--&pR8FU5%r;3L5JR`Z%uSqL8aMqIX~gA*&*%f5Q)cHivT z1(kywsHyQgX}%YxPI;zeY|rQfoc%&CR^b7!EIIKrxUxhAw=+d4(#d}s=jOwofeSi?H|n7Wc*>Y_qRR zc-J^N{(NF8pW7r8n#ilg1_n6&W;?}Iq#mDBCdh*)j|OGh4&clGnLO5WzY4`3bLj5# zAWRc+dys;nb@QzFm{mtsf%89de%`V%PHWe6^aCU%F#8`Q^ zw{tK7E<{rlGC*(%1H)k?0~3wGVkMw#J%~_0!i>K}29~p3@CD&a*RFS%Z(WTC+Zi|U zt^Lxe`L@e`=Bmu;@0my57S*Y!;O+!E3mJ477WLM|d9yZLbw8zJC-#jC|e(5uZ`Y(3p zY%EttTCDiV%2{puXUUU=bH{6g8M|tn)E~B&T3~SXY1Ka>PMP?Nkd>PQ8_t_2= z&GODx%`x}Depqxx!mHLFD6BwA+OCIuE3v4ZntS6n@=JgSK$Ks5lOBzMp8aXSX5y#i zsB4EDX1z#kH_+NHb^DLXoC3Tt-PL)#SR&1{yNwA{r-p&Z7%B*QzFn6Bb)vKoPywPG z4A^-00klRW30?y#SM=S-HCh{gw<+)vJp{ViFt67teHX7@_^^j2geOD?%t8sCOfs4x z%coRh!lO^OCrJKb=9texl%{?fKsW^XWvRx>`slLkEo~E&)UH2AExb$JLf3Le_@f3B zYU_S8_p?WWne8##rdxsSo`;8rYtct7O9Ug+s5)RgQg0ad7yqvgh-42&h-OWIJB@R^=(@>czc<=LrzcVb$Zzm4E6cW%Vj4jyeewzx+S>ki=eSPz*1Bpa zgC~a*`7IB_Wt?>yMCiD|1zx+Nhq_RHKRp|wx&Ky=;&ngf+o{WK3j06D#Y;3c#X3*kx;f|F{ievC>&7U{9W1#Io}@KX+botn(~+j-{{{W!z#BCtAX20SwC~93#>&b z`^#3aTKm49*}Ex*j+0vY#rHs5622{zpqer39|*)*k+cC~Rh|04S-WN<)~*cZI@6(n~G z%X=OfKuaTjTVn<_W0jUX=fFQ%e0#-sS{8sG0o{Ah=Q7V(ZQARqbXAgf60`Eb&v$s4B=ei#1UcrA8(_29iF}I zjugJ_Eax{osDRL5H>2!#5GVw?PKC7 zq|Ts$6~Phc-`za;FjZM}0Hb@L!C$6F?e?ky$ag9RFYh~PpkDb4|o&=yZxnx%r56Zf{zt1a{Mf zmh~T_6Ygk1hX2Bz0QEmWWp7Vxba~l6bFQTyuwQ2awAmYb`kmd~t!WfYN17)eYvK1l zG*A=q{bP52k}C{yYnyFecQE}D{|!8Gw!3F!#!pREHIN?@_hEl7`$=&YIa7Q$XSL2o zbN|WMP$9v8?;!U+v*P5l;Ub4>41e9}m0ZBU-nX4oN(Pr3u$#P4Zqch%b+Z!6E?HHQ zrzK5;Zb}KFC9S>O?eebLoL;b+mW)!tYOQ|zKeNAv*huVcJ3Qx0I)JH^XrrLzX}tXr zQ>!*r#&c}Sy!RDj&L1a4BvW>W7tG}DcmVkqkLR{KoM=ZY#oFHP7s%Fxr2s@$tAZgO zTAvfT>WQ5$hFUD;+0^O%I3^fUifw{Rten0HX9@MarT(2`CcN$0-shLi6-VkSHIBx% z^+(S{_m9Z2#JJ2l!DYG`xmHWnL>L@5*Cl@+ATpFd!^5JP%{!NZGaaM;+RU$d@;QB- zO-mk!dW``veEkicZIAxiZ#fiP+(sbfG-BIxD5}IT`z&1;Wl+R2`}oUixig^US!z+b zbn{@)`n31s*;XY!^JJZXZ8u3LJ?T&u-Q1H2@Q#=%P&>2L-laDaQ^aVuq^xlH+1GgX z>SUqp>w1qQg;1({@*ru~Vum_Ec@Ufad%#(CTnYDD?8R3?2Q2F7LNQ#k6U(ZA!OYP( zj+I_~a!N~w^`pp8vO&H**8`c6PbX{)6wn8|%m^nOy)Pj)cNvwZ4$o}5D%lX+?>C0eS|he#92N87=L^p5VG#v*s=I zFj$wyL+~e0SYEkh5!W1Scsk||(=mT8D!dy9gl!Q$e*0u2^!gR-mxrn5DidS3ml0~& z^pp&h){h8ezbs?+%3^S%&VnZgcnKwAk0=UYsvRYEybiXKOY5p!blNUI< z0VX1gvRkp$v}xJLaK+V^on@*a#* zY2^!9T}sBbu;Y`GS~_N@9X}eI0h0Xp{i_L&lZgc3qnT^WS6DraqPjG&b1YZC$N817 zIM0LQ>@>lH4q(A8VRF$#6Ry!`)-yCt%|X)Ty<+A5#AKd&33{zRTB|;+?#ZTIG%^*ij|L+&O7-bp8;g{2&YmWg7)dc-VZ}=r)OmN}J z)mj!R;!SXM+``4_uH81tkO`E2+!Vidk^sv__gYULJW?{k$hqaRO}Ys8esB%tSDBmr z&4cYh`<9XAn*T6t>UpB5&|I;-NicN0Oc>kDuU0QjFiI4C{ziM~ne;B`9#$>t8-6}s zP|XNJh#M`#l4}Z*e~tRcXP1R%laR^4mMg+nio1- z{P?zIBij9Iml&==q_h{Rr0Wg#c9ekjzsEc&1Fg1a?Y4)a19XltFb$SnM_5wtjiE?g{AH?q3v1E>WxC0UUgE1nn>qXmPN= zk@Ge&l7LHaz(j;EKspfqd0kpffXz5Pcmp=SxE5b9$2n z9WD95HLF$G`{k(Z5#2f9lx$iMKVMH#C@@ZHcxWwm1lk^OqGT#++pIxlxH^IN?d_`n zM#h5GJZ2XAs>Zgp@}+-(>20_ZywRG7eRlp41D59Y!--#kPtfn3W+yG%VInGx zi(`F4mO8|c&mdHz?~7;b5HJDDqPGQ_`|ecTw7_4o_vE<;-)aw1B_<;}m??Ofzvz7w ztPW+msF3W^Fz+P^`iGP*8dMwpm?Deqj?oh0YreXNs;#5dcB&J*-XH2^h1$-eP1vmNO6nKc`niB|K%lqfGN(;wH^X+}iN(^T@ zq18)U8Vfwa7ZRG3HboL2nLT;>0Ys;myfF&XetdZ3My@B$9=!5%Ip3am!B(Kf48Fm| zQR$!6j@>+cq%~Yy5xL#T*Hu;#^VEI>Q*Qmxp55Mjf}Nn$(P_A1{+wd45PK?%R3FI} z@XII3t5dmy8GIJa?U=Ppo9(Ov>s*%#7VO}5zQ@~<;dzv<2T?UXV)IPK1=;uTN+`RuHfdK zT@Wn+sKA|U6$d9?F@-y8l;%PvY#9zR7%>dX9Bi}^CsL#9%hL2t-Ad^)S<#T8VY3HE z)m7;Qe5%%-y$ozArJ$3*?}JR;3)U~`Ox8#L!*qYXG-W2tqT2b&wqSxKp~Z4L3U3y= zzQOr_Oby&Ss@cM-+fiWaA5I}z2qk&ctinVpAd%U;cY zF-4OV&`dA^N)w;O=qw0>c1r!0g+Vpe`qYXdudKFLft4MSVS3<{fu9$N9*jAfU73!T ziTL}tQTDw0h70_hZ*cXa`b<*dJ3aAgox`4t9^+d^w9RE`oW(1LntyE-7_c8G-IC}Ukv+!BBJe@Pz7aDb=J2RSJ0KXsnmi%du)~QYRwxmE^ zmr296lj;!$8(PzJ4bUz;6vMA62eO&!ajfyV#f)vo+m^=iAaWzfn006!;2KNh+eVoG zJM4ER_T0eoYQZri&@MZ(i+~35MSy$A^Uxo>EcJLXjYOC~P32Pr)~n)9#L2%L%ab<$ zpa1FqCHee5xkMX)U`)Fg^h6dExfZSV%VQB=0|`$*AjY>uWm~bw8J^Gjo?`3d+~h70 zR@W+JfsS}C#|mgLdAvFB*lw9UoVQEhCKL6lz^7tddH?Ghin>Lt#gdf-0UG$bEGEuc z>-efHhC2#$EqBZkl~l}~-th3mc6n!iA_289*)#DhWl%3NMWHB@!aQ<)uxdR81=8~- zC&k36-N8+;#pD$=*TUwg6`6K}wVRqPI7-Aja3t3zg{WZ%P)4fa$l3Zh(PUV!E>{0F zmUrZ*{_sec6v4lGRcYBada0+@rd+38B{%wW*=tDNX$)pIl_!o@}m@ci{r|B9Y9K5-s+j zZ{Gu$&&}nLX!ivZtuQ#z#&h$O*I2Z2$|PL2#G`W1n+nyTRhhlhH??y!D;AIP`5Y=v zt%xcSlLi>%Se{RKnxMXEGzPzl?OKZ3O=va@?YZwSa*Byg@(6M+uX1wn(!991SFIQ1 ze^;U;I6*@m4WcTNe?uB>b&wM2*T}wX4nWw z2_5>_ya;A|-w&e+I%KZ=j*#^SD;H2Y$a@bUja_QQB{-;rP45yUPnq|w0o@n4D^7=8 z(H;HuQ-Hi7D?)-Aw|S8jkb&i5r*Den+XZea<8qw8r=iSd-X9nY7r&T0J0Ax@wEbn_ z*g0``RTn{c;*2Pf*Qi=^MK)i4ElWU5@WM#k>!$ngzDI+ZlCK?OR|EV70a& z6SaiOgJ!=O{XH55&V1Q&(lQm1F*{EX*el#1&G03Ch`JX9fxlw7W^1#cLr&6l{^7q4 zfYjL)NptRY&*pZIy+$pSp~W$^om5<8pmCJPIEQ81*fI4@2PC$YLS{(dZ6wG^?WD!a zgN}O8D}0B_>;8FFGcq3X^gpxW9j|onKnzJo|Ha{a!~a1`o{4e>8?xHev;fu_9EnL* zd@}{r+w}^pQ^hBT8@RPl_UpjbuJ_cmNouOYE#jLyKS2dc0HWc|=V!9mp|@m`mD`ic zw;ntD9nYZLY@l{;DqhXr`7C(Z?Z?omwVTYJU9aU^{_}x2_BNsL3+#qYQYEhq3ADNC zv+${%v9{Fqd|m`h*<5mBqTwvCf0L=0e~!1?>W?0Xqc~N-<54eUB+EmXREB(6)}M(B zn-lUOy3`$4bs{xWql3$zZFip60T^plLS85oD%N$dodN%RQXxOm@`CFw!X$ukOI7r9 zyZm1;I4c`d&_$~K*L1!ulX&dWBRpZ2J!~|>Ha+{s=~ka^Ups}XeQWAHa$NF2Yo~)< z58;S}9BXZkHYPFLMX@L=hkvutg#-GPOmvWG(|@fM2k0a3mfsBymM$ z@O&@=cn%~7RE#&bg>uobcr#`^y$LRJfEcsHdv@>l=!Txs7dFF(&_Fw2#J;|?@~jy> zh<;=q(prA3BOC|~^Ak}Pl)Z+_Hxp+a>_$#4kbmhTE-Pi`Rck~b3xe(Vjub7 z{tyOd_r|UrT?v2($=f!V1(Nn7t^82e2R>huJ=j2cA>NGz3M%CNM|~^~fs8o+w7v&U z37~0+8sVv&&mYk_)8LpEJxiCztw?~}z+bk23evZ??&!TggK0KJn?f0;LcN*EY$Bhv z4cA%MY@pht&bC8_J9vWJ_|{IH?f2lb`DW+>E;>ad21?kQjbs@EWvi|$v_@wlJ=r~4 z24=?j56~y*6VLrmb(;5|9~VV3UvlsA0GgbX^r=rC4@r`?eHN!}+jbjR+}4fTi!npC z7!VYl;zI7;P4*d5Ao7yYSvs==ntQF{MBfy)z@9EcqFqb|GdZzYTni$y=>*o3l=tm4 zLa(mGd{lSA{#shXl9ly>fC`DE!Jmg}%svTS{O`xwgJC95&u>SA*XF{zKF6a1QU$;7 z;ochyUGb6$DgN{p@Af2l#R-C^va;+q*4@-fWq#wm3V4{XD!S1C?Iu@dAq4I>( z%Q25byl&|8{=V4QFUW5i5xZp_dZ8a@9PbqvaZZ&OIZm32z*2D(*lbXNShiTgt?WVc zh*)6*eO@DakdQc;-eN??N*~tnAk_(O;wNeEZ-8jbpOXR~587kWQ!>wOHyLf@c9f`r zl7lJ2h-bf~2da8695JuUW2#|%TqmZhxgIyiTf-*oTYJ~{6FJzY8g?J{op+7*>C_GD zgaw(VSbeMD10#_@lyzGu;m)K&z?{TdC|}BB9N|pGW^{(*(JP3@-Ivj; zmb|g0#QXujERGpkW7*e|h*U+Xh`YGcm{Bac1^!*VyV7EeVFKg*u>LWnXJohp5JIF4 zZF=KZnAOGq9o(kYhAo`uM-~J}RwCl-k%AX_upU_)26ln=oAyJUadGMmU(16Uc9sjt z3%ZSUC2D{2H*I=*uLO|En{`8EVa81a-ful&Z%YycQ@i*emutpobGpJ!DP4{d41#XK zjUqS2DZ425+M}%hIHqPr+vW5P?^Jek4;mMEgd$3FJ!`vljIZ;lCZIiBYFeTxK(`sR z_^PttLV3(a;z*6jE!ij(&veH*IA?{5Bv5@~%ei{!hp7d`ir2Ze06!hbJl zGkvJk)>!S9L7>pWl8QAwh{LXyUhHLsa^en>x}rU}|!*fMAjS&>l{lh$GdWoiQHZsKIZ6 z)cA#3TLNw2F}!13DLjh#AzpN#%A)LCwWzGwuGeK+TxVW?^c~sbL#Mg$aq3hul}f0m zeu0RFS|+Q#P-~8dPI$plZa?B&wJk14i9GclcF-1lF4eK}OS-*IXrhkX`+)*=yit~0 z>#PD6`KV@AhNu3@3eAJ&5sh}+xSOjQj77{Uu=pMZHWJKe#-QFMO7iw=5ul@N7L(v5 za5_=+0+{YvVMy+6nciYe;5_1GNvEY5JT~4r??+tAA4Gkc0LuMoaB<_5-Z{B-@~zdV1k^?pqKEQ1iiI)eD=AO#NPEUTUAkwry4>At zCLp9A`lRQkaqxuG(mbHOl{KCFl7s)jfeaJQG^o4-C2@WlK!t6B0f3I)9Z6iG;TSsL zXPwt8C_Bc>+{bYd-gRE`ir}Q{jW)HFzaytGa?{V1G{L4)PiF2BUnKX-CCx&^Ke{HHt*CTR-GuX8Wwh$7a2XNQ0pN+^hIIp>YQ$T(B$qR zUNW2^k^n&IKWK0}z-ucl;kOhgO(Db2tINHG(>f^5YRUY%Le=rsNb#eUG%YUIF*eXn8&@5@iSieJM;kz0Dh$st!%&uu zf?u4XP7FDghk=(%O3A@1072j*z+j)*%U$p8wWy$(-S3)4FD@J$l%Yt(v$oj7@bVQt z(w{yIvC(GSf1S2aJ!*;gz=NiF$hbA(6rVQi*dDGl!f;uRXE-|&(6t!LjdIGsqsw5u zeNzVZ89_XRF}=9dt*{r54&&3LboFPu2uekOK8sz8s&8l~u(g}cFmrPKNPTl9M-*~_ z_DG0#RQ64vC1zSZx{>e}qzK`{%?$PYYr zFPu=W$gZS*R&d0+>cvKC{+5PQo7&qsA?iLrhjozQ&b|HLhpacUR@46498`qlFGssns(sC_bFIAgcUK+8vAs^f$pS7h%D^FqnrQ-bceHpt~509(=I<)v~XDM?=k@3E$LnRfp|5?9cxz5@G7A*SfC=3B}aaKHY?{P6%ou$RgaHP{#O= z00q@ZLmUTL)ykSL$4RBBW|+~D6f0r{XyRa!%@lmdFQHM ze_65#a96F&>!(EnVE1)#ku|Get*n=hJJMmb$C0{uPW`P#4iEl=vLY(p7a608E{}jv z*HXe>7$H7t4UkVCm7Jau;K3r4CZn#$to~JtrJwl_NxWwCz3TWL0`&TB`WGMLs^z0V zc_Dwg;z32QBFrQ`a;5>kLQ_~+T<#NWqajhH%tDOJ4}IJ(`QF4mSEzowifU8BwY+p{ z7E!rRbeCz3oUB6jcuY;|&p@`V{n^@Q92AZX4+iCv2d!<605--;8nOJXGpyOB2=GW^iF3PZQ_xK-gQe!Ht`kv$Bn_2UU0aQnbMzOX)##3 z?tb2z!*Q^~h|0-xQ;wlo(2j}d{j+QIYHH5|IYVUToPmVPeYrfPQAyB!RuYbu7!7p$M%5sa2550Hd5abtZquVL)^?vt^M<` zrMy>G7F9uP-~%(4l2twfgIDQ6NTMDDb^i|S@b-_c;mkDQ4?~F-uYBBHh9k`X4y;IS zI2+!IVm>C*ZE0fn5rH^S%y0$Iv-GhIMlP&xi0Mv{%t!w!A2Vp47F;5l>5akdrX zz~9_h8%dIrFN^&@wLFq~pwVGVrV*=;@G^wu?&;U|9QG(-%LH)g9(=X^$<-B4DGz^@ z)DR`HDV>fdO5HOPiH&ggZU;1PhMF?(mbvHoyuUUW|(mLAm$)`h5G&B^z}#fwaTe9VEd<~m*4-z?c8akIP2am z=!pZ0zOG?Hb#nH6h%5$C^M8Qdpo*v`rjAq;01&+wo-wamWJ20S>o7n!@9mhzXImAA zR;Pe@CYHczWz9%gPDu%=N$m{QgCp-tl6v7+AXd?`c9U6RK<2w?9Gcz96%!u3biAml{TapVkkNH28s!GT-Wlp)d?b6JI%*61dzJCHUE7K z{JB1wwdN)5mCBs>Fv@B^?NnPsVcp+WzdnP4DiPH8C03>0#3L_gaGLc}V$u5|XM3v= z2yj2gdv)Zf3<<)grzx_1?olmKCAwWNMz5tpNTeUKxppi>KEOdf81CdUy209%Y4Ii3 zlI zXPyAD7sC=nzLzE4{vWGrd$Kdg4j!q5V7n=xF?bb-7xgJ0&*W^n50=Lc1OLM0KY9Bz z;p5r%WiY1amyl4>b?sz`3=P~D<4N7*Kji&855a~7?TD|s|8!fI6ZQNXJ2a)SqRXWuT^Nf=@0&FBnrMrjst#B-dsXuguX-fYnq8t*4P_`5p1fX;Zjt}QwJY%Nrx z!H<*(#*#b|c78#8d4U`BJiG(#8OWBm$O zq5sWNQR*yek1~QbKXy_xmp3sWF>jk*vH{qr%N<@pnSzC&7plW)P2~1yxEy4;(7n~b zOvo$o_iE>FrlmMZ<+d-2v(P%T?rzI|t*zXh7&yS`4RFmJVD5rAHONJjo11zty4YmO zu8MEdcP5%&$2M)VnE{zIi<>8_ZU_>tGcexx1enPUO9zLWA9I)mZ&sScd;Ltmt~^ob z`$!!{pUm#uVdaJ{DJ-Jev1Ugs9qJ{XM@&F>vSa^9vU;BRpiT-#jWPD0veioa-Kz1K ztGM;^*+3I!oq}H1fhgMQj@eV%>=4NRjnoCOaH{7m4kvt-AE7EpN-Q44bU`lquB$A) zf`c;mnaWLs;Gi0fbrV1r0SPwBbCtL!sSXK;k_s?(>-Gq6l8bPhS|^nBaB)DE1}=7` zSxHTbKeu!7C9bak$O)x6VW9B~G3w zzMavfWlEoPiaoAk_hwwPz`bQl(rHtq`ngkQSk>9D=F!4Hvi|9yk<4f{BK0fkph$~o zuU)mEvQKyDAh#(tr~1atHQ-60Yqad@p0BSK@1orZ6iG7;@q^uVW_Ya@cj8iD<`1uF zkEr$R?GaqF?6;g|4?+;RE_Ymq5oWT9xhG?0S_+hNnK>Ph)P%X&*!<4- z+vEtYv0#5?{A0K1PG)F=) z8cIu?WB#V`4{s7s#mb%R4pr1?G8v9ccmI(4?PM? zjo(P}luI)8vuG-jBtxeF`R#iDyB=qvH%Iag@}{OL||wn<7xqG~pA ziVR4xFEQ7J2ZfJg_{kp6MUs71y7leR7+xj-JyWJeC5~oEqPC*idX{HxpP|vYyUy^kf$x{5& zf4FTTeSH(7>^d+WA9+(DQh9&7jKs%-_k$RNl#pgF(drZTUn2dI=30iGzy7QExFepo zDZRR};Li+}vL5A24I7bZclCf3%BSXL#&I}$UIvY*i5&w`ZTmY+Zx&Q`b8v#UI6J7m z#-ohYroZn>Pf41cJOlVBrL4H6G6T$W5M1T1hoy>ZDe92pGP4afCyKrFw3U}c|9P1SxGJTn`P1|3%NU9p#mxS z*;KB}#|rPt#$|Tlw46V0!1j9MqTWrdZ}9W5C(aiBH03Ge0@K>BN%A9lOPp@61_O+B z%wg4mI>aWk*UFqMIUiyv+!o(`)k|j-zJ^S8UCAv!06Qo0CZ!76{PJd+F4C_;gL(ms z){gB9-pfi);T_!4XbMz@5cxnU@60Q8=S6&rlRE>bn`-Ds&0q@#PM(T!XPT;C%hfUd z3t~2VLaqvq1qb^(d$YhFOJ*F0rB%tSJYkZU{`o+hu6yQzk5IMi;VeVtGRhni!*7#9 z=O(BpE#;7AX@`bHyw3%dl9$BaPaxT4&tl-9m{7*Oh9lWjbEoTkDa~tVEJyq-BG-6B z$G0a}YK^TcZH7nOfL9MhzF(*1(gO|`;aZJy%GeGVa{rScw4t|YFV4H{i7 zTn;cn3%*5|r*+*`cCr5tcLI^_3BS&vojfa`s;_(dKxc0}P*ufHo}F$`m+WH44`b@Q#xcJ{Zid&fk6~on z9fX4rYV6)A&9p6GGv9f8M_|LhaB6jGL)g%J_J5=Gjc^ZA3FmzkR}?L^ZGyfKNAHG4 zrjKDhdU;Z%dp#0Rt7Lid*ZGU|{WchmGsSj(Gxc6R?>x4D8$ww$?W(fcLsF)4m`riX zsK>a{KbtNLi#e)Z?))4{XDY$_o7OMC7$D*B?Q1So79kCJqEx_dZcohRK#MS|C{0bl z*MI^X8lIT<2eytM3pvYcjCAsPkV~+rX%5j=!U<;w{|4-)!Vu50@@o0yuZXIV(#fwT ze+-C!cRHc8Tap}0F3(3RiVDtiCNq3F`6HLv*5Q{gW&JMb&)L4)3tR)z-|Lv10yzdD zs76>5vj+Ln>T5qpP}V+_|8R`He(R;-eElkaA=_!-RuDvf5z=@G*c8CzQ2S`R9(uRb z`t(N^TH}EAu0Cf2$_R-84*s6Vb1MTmi-$5*`z?L_TPQvQRCaMqwM*r67NEsf)Ajd} z^O)wEFY?@;Jn|1y3@AK*2!>zLO3X7m-C*9NAvEh4L^&@StGQH~@<{UOravcl>67Rv}d}xh~?1<%L^KF*0G#9i%p8m;ZS>)Q0LT32b zs=b9k=x8S%?`1KtE6^-4{i!>t=vw#QbU7oZRMaPb*{}fZjxsdo8~O6a{{Htoe7@ zMS02&3f~kS{1CHw~8qz<{buFpYJPrX){3#jO(cyn_vV5VS?n>BzVyn&c9Uh=_eiGDN;$e|*NI zy!ycgHs~J6m+Q~%9oxsV&tY*6-w{KakRzsIQtaGEU3&>-WGoXDzrn`ufwd@0Dn&6? zINKDAea9TqZ|O=$CI@vURrvKyH(qpc$OCt4?It70AON5xVNabxjbM>8X0nf3C^K_e#n0ZU`GD~3V>I`F}Wl_2l4`aI7ajPcbl zCB!eI?)8fauJ%Xx`ydJLZmnTvJU*F!i5%1x7(&u2)%Q#nD~PWu@56G9{M znfvir20cC$Nyc-0vQHsAVZZ7w?5a(t!1A1NdDWzr^#K=9WKjE}i07E(u1J_tjQ5AE zlDx+|Q|+wE=J6F~>~9|@Mj2(809+#uK}L@=iJ$gY$k9|;mzN+Xj+7Hh8?tbZnZdN@ zs-6U+MfRgs{m)@k^^J?`n7jP69$k`_ZO?sOJaRMU*Fj%j9Mx#)44LJd{4^(c{EmlR zK$S|3bKnnYA%J)7KjI%X`SC!ErTv{Wr;A3UcSl6PGR$j@Aj1rqZIxR7usHrMx4!jL({-`d&Il~Ozl+ZR0? z>bT6GYSGpsX@h!&idNOK#>}iS;o^rfxPP=oD<66d{*Lm z|7R7pD?fN1nWtayG0VjyrFsdipY0a0&8PvGi41SY2>CvJqZ9y zQjVuAz18V;&2pY;$OWhOwlUC3kP^Y(gGrcZ?YQR}d``i$^YC0#_qUsH8kX~JZS$Z; z5cg@H1CmSt$8+o@StAA3w6&}TFXq|=GE3l0E4LDeWL};;9iL#sLb>pDUP(k!VnAJ> z_J{Up!M#S?uK%uFabS;q(hp&E5&aZC+-(EXN6%KbYr)Vl_02a0|6BFozmUUb{oI=` zf&l}XPzl*Sy*;f`f31x1vjBej4M+C-FzO00d(&Uy4jltFv-cE$U!PQrn`S&z6B1Gw z_&6Nr@n0G3%Jbp=&u`xIBQp0Ex#BDc!f8v2BO${jRU`#FA-}wJsNo~ye`}VCi^xz0 zUGeF(S*>X*%5ZaZ)57b0%2v+HQ&fq%U(f>bznq+|Ybx*?CD+9gys_AOz7EgfXMa(J zhCWOGt9GE0j);%Tx!eEaVuP>NZVh$U{&bs6knvEwPK>9BaCjBG3pNGuC4Sf#@OA1fE#$6nO7Czrk=&k7!)=EW3%Kq6adS2u>?g_8hV8v8o zx}#5Mei6z8da1KIvAsSu_~znQGkkm5#NSo-H|&*B#5@mxp!-Nc-rLfz=+`(``mGYD zWx-?qH5^M{Nu^XYL=ymx|mu)re36)9nb!?ZC6(~<$bI?tQ?3`!-X5uyXOwy2Sf8rF+_dm zLjxmtK*8*IG8KT$M2uut>t^%XkF`gqzYkW-K3{u&<(AwftL) z^H}fjw6!+kCo|(1(xTzn8O!5h(WJ_e5OuK1{+9nu5IqKg1E>@tPOfN8`@rI`bY)90N}a`E0{$PN;cql=b9UeYlv`66f#hJO0tK zf-EmzV(BI!1wYirCZE3M#rH2d1TH;o@I3YAzYjQj`wIW|uP;hI#mWajJVrLt?p3Av zV})loDrDs-1&d$3rrY7)(tfA*g$`Ab3@IuT??CDpG||l31TUtZ4`5QL1H>e}`4zMU zs*UK?Nh&irjoondU094$HDC@d<%5{D-_ZIM2@JTM%3{nOr&8ptup3G}R0Nj0Z8j`E zFQp)6I+!A12+4-SEdm*OdyGCTG@fFkm=k1Ut2=MKChJ)CkA_)1FnOushzP(B;MVuJ zI*6_4ntleOcr(vx!FWJLAtw}J<3IrLu_5BqX5i$}{jFSc zAq6{w%`PN1a7gjWqQZ#8{MW=#K7~Ju6EFk#!5?3HcpUr#lqW9)9?ux9*-G(8XOOhh zO2RRu@YP>nqd_zW;4vibtTDwJd%wa2`@M_njjmn_b5$AM3m~h+mQFvQMbGRhym4@t z*kxkj|CxkF5mFOHf++hcPqpRIhi~8yY%b7cnBuw+g7S=jP2c?c|2R4ehbF%^48LPA zKpLbQM4Ax_C=Dtd5+dCoN=u9$(%qoaT}n&G=u+wKm^6%T`1bq$h;!caKF@t!cWLVN zt9*N>ljWcO%{EODmR!R0AbitVP)- z5pPtxNx8+9QP05ndYa9|*;;4Ps+cRmp>gvn1?ZA3V+xV%5FAgiHXt3BE0LJw0kvhs z$D>csr@p1tVvH#Xmt42%C+%5;Is1bYI9g4!WC2oXHu1)W@-n)3wysZYWFNp6iM&he zz9}hcPFsk$>ns9-xl{|Hs#Zex3%P#8T^@!hKK6_EA6Rxuq_`}Vm;aFX7J>wV|5Xlp zhxsl{I8^&2km<6u2a+P=?V1k4;7?_1HKUa8``OPSSNT#1zW85nljVw-8XBQ2(5X*C#HL^O z>5FS74x@fCEEF5fyD>qrV?t56~rtLZ9n3LAy&TjA( z-A~SEV=Sffx81GI@c#ZkT8=Ln4^6n|@eX`;t$D_tX7%x9ucrL7_vTUG;goKXi1*3P zT+_y!^G{^A$X~w6h{;ge%Ei2^Mj792M=cFS= z+rn4B_v?UtU;(vubAQq9s1e<|D*7$?S%qQa+VWMD$8w2Q5s#E*1SNyAmLhE%usCB9 zbBc?S1)Ku27B}v5NB+||=8^(-R#x!hAY4;=Nc;un{1{oR^lMoe+c02WI{K|w+c<1b zd&#Z^?NgRKK5GeZpaR7n{PtX~<3=kS{T^bol4I}h$6b(JpZ>#f@#~y_h}UEQhQj>( zPX+kje-{cCdwG+`**~))nc*-da~9q(qx@;-{ZODY*q90;2z+%mFn)ieLbrUQr1SRs z!yt~CVnH-J^>5r$X0nZVIEg7mP5P44a$vxRg)XYuso2250$o`@RL_zJx+QP|6;P#a zJQq2X!Wc5yHZ!W+ZRMnLG((0zt9@)1GEIxU>ye3t0CgV=hJ5rFOd%D-8L%2<9nMd4`KUh76t|@74F$gp(4A6n!@-mWLRU%&^*2j8*vYRMNT+wNs;HXxg`SAcJ1z^$uI`f(U3Dr`@7>VULGOoU z10>p`_|IE4n)cl^6)mr~U3bF{jw`LW!2MsiWOiPZ?Zu-ev^P~v%^>YO(b*rvB|nnE zwZf~b5xFstcs{enVDS+l3V#l>CZ~au!O649mYe}gSQp6WNNoK&!}cJ#?Q#u|aSf5o zmIt?o>%kg3pzFTJfVK2>y2IchV2ZkXB6|+Eqsx?*T%o=P{w(=k7_Ac|;SL|+Gd)4* z6)Jz9U_4J{eYlO;WDMBUjDeEI#HRu+d>;=2Q~?!$i>g>od>5_Q2*fw1z8!ZSPS?!Ka}6H{Vx!;% z^7de%4&8_F+AvxRTnjv)gx2ZvoFG2INPidz_PcfL>uQ%q57P;5j-WB~nnj#>;{@<@ z?+LA*U{qm@I(f^0ojA81%*IhNswDkxfm^TrjIVdb;&_|tV^#jMi)?55>LqQ{d6hDi z5;N@YKVO$X047*y^$AvB*-GckU;VWeYxVhfi$UhCUR!S$E`lW@@wZm z{o>=c`bM0HMKC}`)P_|MnrdKlr7YVAx&|n8C(0{%?1{5!!PAPu0lICV>$ygvQFvH^ zGvF{@`d~>3tta0eHzNjCxY>)0LiM=Xvc{pK%F_C3D+>wtQC!?hfj?(a+dp;6Ndgu-{9AT5DBiv$gB3dlfYA5Ja;5#MXGYF+*&(zP$ z+YvkURdUzRa?#&(z3`5-a`P+rQ374yUV+5N8jcac2xmH$qLyw{+L=QuMb@u;4WIU_g}bwO}g8w5*p{j z-V-A1t;Y6G-Jha|J!N00QtpQ)1|$vT@38_R7#HX|T7glb!H6zaz82p)!|SEjV28tp zA;;v;j&0^?vEg;eI+L;P^A;tkBvdex|2UtQ<;#z7{U)CiF5~(M#Qc5M463JdT+ayB zrM`fLR$XO?dEoP{GWXiRE0^yMJd7hAIbp3}!GbTS)*Z)&#I0tyS66%eZ0S~jm0mPY zl-6PM4+JM}le|UA1^Vypp6@&Q&ku`-10*N4ng|gT_8K$6(&pzc4jai}I<0pbc#VKU z!Y1b83Oa;&b#$Y)5O85^`Tt=w$B0ArJd?!YRtwpO-6e~dLp1HGr*Xaac*Rj9`)3*~ z6-MToM@lm7Fet^*`9Alg`$L1ronPbm(KK>A%fAHm`s#LCwoti zeYRQDk0(sz45mEHt3syXK`Uxhha!$K2YLcn)V*+M6&*R4t!0`i3IpHE`)Z3mbKN6~ zAqoRQW&LM+#J(FpA<5qxBrskSkbJ@tH~~r7h;YXE`ubkNg2QhfkIP&3`KPcS;_$bU zyp+^XNwv1`yy+hXVDTLc%4D4uC|V@yvFtnHD9dzjM-nV_MVWd_e4C9C+we2f-NGO2 zhGNRZN%iRx^2S?q%xdGMEtFQZoninnyNdq1Ee)#;>J4;gswIS+y+q@%Zu7yL^%4ac zj==ULfhs>8Q5;MZJUyP$9-|qkdEgbV)RuY%v&bL_?01ufCg;esOKiyvKZ$=UDVhIj zJ8!;AiE*78@kiO=Bh@pFhi}aCx_X*T<(H{?N;Zdi-*@VdAHj!Z2)ejDywjPdzYkKL zU4S42DV)*W|8A6G1MD-FjPr*~CyhmwvVJA)^-QMlfm;Y<(bE=tZTSrOEI<(lM$Q1~ zAX}kw8?<6V18upsvAW`RmUfNy zRcNBHsVcG60yuCp@i5-Am8I)ExHI)XRMFl&)98{V|_Vi3o1>~sTf zUc6;>1P^WgJxUb=6heNDiMJhT*qL-n)wBgI$c_+9^iZ$^td?OdXEuxDX=5w(A-v z&>&)pMrOf{`f=~$7+Wwhokzgpozpevu5$N)72s$}40l2eBuqw9Lfv6V$t61&D&F`X zR;)OcXv#>!mNiwRuRcw+z zBl5T?B><{D;X14$q88`*_}n(hWdXN|q|c1=WyVWWVo1lCy3UJ-WgBF@|H;k&ZRgzW zSA)tbl#F~$a&@aUX$)HwN0=)q3~H+}3~&RCr!=m`T{b6r-h2HD=I^5P^bL<%H?gE~ zL+D4FZfEnXCPGwr3g6lHF>$N&UNWr+|XzIrv)8Yfox%n4M2vU}?TJf(u8f^S9b zhgSY%BZ~mh-W4X{3#-`gyn*(y2Y+>~TI{;!g%+;~;yQ0y6^T$P$G<E?;5w$cC%Et4h*FgEH9Jf z?*}=heTcc77$P62{wW-oNVKa&maEc7!Z=1If8A4yAhdKqLdGAzw{Pg(QG}o z3U5;_^OwH3B&;-|tg2vC4mkQKv{Kik7t&vI{8v-+P@c>8kTRR}>IWdQ{b>I=nH|~B z8SG@g#Y9_Qrrp}L&b;yc_Je{V`p}Lzc4-QjCuv6_k&*^&ko^1;;n?!DYMH5&l*#&X z8YdxXtd+vkFp)imZOO!@NlRw&6}>mhqP{+Z!ZGZqB#8Y$wjGUK4DQp-$NiL7dAw$w zPOJC17xHy~if)~<>ZT2RW|~bp?!@Ypr!`duwXb&B3;g(V!sta`kQu;CE6g`7(vD}h zS?U;Gh5FcHSH7-{wA&r5BbXP5>kVQd_A|0t^p>tyk?7vq>A~Ro;aNOlTD&%?-&ZsfEsC%qXly;njsPD8gRqiK-R6|RR@uu=`g>v zhX+b6J73NaYm104VdSo4ueA@)jdrsHkO&?nGBSnM!QGm;qR+-qI3rP`9* zj&*lE@(q-HYs&X$B9Nbn+4OdGmt|}qE5?fkqInPXw~Xs zrbFP)`&^tO2LmA(zlX=)P?rCj%+~@d(44~cSSZ^AEhHPNBS-W znM2nv_-qGc!N~ronwR%D^U?(b!V+naTv{D!A-MBzrnUV*JTcR-)|0t;Y&Of=Ko&R; zz5y)!R(rVzDjjSivRNPdj-5#!U(=)+nd?Kwcm%w}xXfR*(rklK96}sT@kn!|7@y{x zDhgF_8uSGpO}oV=mH?e$lV% z#j=GdWZz4i`|V^~T7J{@R7T-^V-#`Y!N|ZLLA0w;Ak|9Md&BJ7Q*%-30fSflc&rg-h1@e5cl2c*#&pFPetG`W z;);hoG~w{&snEs`!7L3uZhX$+T1m)r@|{xBEmmWOq%xvVjr;fd`X2O{IJU(q)O%|J z)C|6*COZ#1YGSxRKC=Im($Vf?32mOtX_;X3fyc2jVL&v9ntjGJyUc-TF z*K9|}yVZ`%PN8p{uz%pYnjWLZ;|=B;&|Gp3Nx@Ik3dyx{*hWPCj7-?&%CdXpdbzaZ zz_jlZPwh6vm{VWP!nTbI(PZr={4DdC>i~4-Td%;;D5>>lTaSB!Y#|x*AmJiA{ev|{ zXG(U(+KYLm`=1!h$BpS@I0-Q1BgC)QumS#GuNI=4!d2>X+i6>eem_MD=w?J~%NeS!O^ zVJX05N4TYn;+p@(I8UGPH(oRp#F^TD;pKUPUE$5SU4q9xxL0C3FVg>eRDmz_h49N< zd-LCTU%SY28QwCy_$Oiag|Rmwiewd+9%P82VEzpm>wjyJW&B7Q>oRCsw_IgNoEZBW zq7a%&$Kc{A-Bp8;X|~0AY<9(!>5xyu#Lb}Cl&-Iz4tnQa& z8{LpQYLfOXASv6K>LQ9RN^?6(8PzZ($}<7{KX&JeAQhXOF88?ktex6c6%~@ zl@5W`tf{Cdyjjx*ftob$pSGr~FPKu(*?O7@9V-m=aTNv*4GC&T5nO(Q6GHpOYg!LX z4~m#3uwsGnh$EViXU24^oQ+QzK*>$fQc;?T2YR6}qI5u_hCvr;jr_*UJa(KFEMx69H zS9J6BvYbj{Yng%4{*-Y!?5bK)>YDU2Hi>Bk!)>Laq-mPTEn3XW4h9?5WTCUn*1DHV zn&3ib0@KytK*E`!KgJGv_18+PXXN(cD_SZlC02aA5TPA8Dj#oN&SB0Kf#-{H4l&WG zIlp*+ef}5-WPe(%Akrph4#lt9w6^%rpu+8#x4Yw!@}7_?Q!(&^R5LCaLEDyk14bo= z_)Vsjo2q5)SIXY%aV(sdPJPqwV49Kl#`vE_X)&ZG*hQ(tmSjfgaqr zXy1)Q>B+y@LNk=78Fx&_vR;7a)+x=9Y%*VVR=u?ojyC~@rDI)hOOm!qit4q^wb0q} zi*LVr+Y%&F6}y$&`i0=}tv@C%njK1be8w7DQRZw|$MC+TwdIVlgZk*f9mp9y{Joto ziFbyX$+mv-jm2@@$gNG=l|)OIETrz_F?N#@&5Y-dY@nrceu0~D0xGon0j_iOnp#{! z4(?v(VaeVpVrMGkeM~cJ;TZnl=ZcvUd6^;k0@+3Se-_DG%D36@_B{A_uweXLAxb=G z5uX`vx9FO+*9^1Q8vtKnt!u7_?B{Oaf6VG z5rVnq=mI+F*WrDXaC-0dyYu>XUu!@b%!<$py=cIm!H%n={rct_w~0-38gHw&1~c7X zA@U_?rH;%M{1pt#Yw1Tn&f&DoC()^l*!-2XX9mmHDN;2m$zG|(E=j!WdP|_x{;K^* z+5clTLTuNzbp6913 zFA5PWkDzgo2NV>*z7r%+xuQGhl?N5l3c3RI=b93~e}vj-Z?d!Z4*3e# z7yT(NF?+@@Eft_Pp7O)tIy=}x_1E~A+x0Krre_7Q;@_(YVpN|Eq8sby8qccxUBm{; z`0fd1D}#zyOlkM|b~}su-VBxedqu6k$h99lS>5p7zjZEpCAz7H)LOjksg;3K1BUxo z^*sr=xL*0At*K(5UJsH#L|brIX+*)m)98O3o}%*TSlqY%+D4jxPTVqhe~ie5TA}TL zwu%V$Tnf<)WvPL?ZG-y%E=2 z!N?eowAAPCT;`OWHQZZj2pWFs+&xQtqq6racUk29^8>+p`%lz+yg#1=8a;xAJ8z9w zX=x3vrJPiDE0$GTbjJ7!B5WH+3AY+&PCP<0*jer?PxLc=tj(XZiBC z4$C)77cCnptp}I%h-mRu%-j-Myg3jxBTuPL}Fg@s%UtKvb}BX(4)Q08LtwKT7n0PlY5?i=+c5GO&EVKe4!#}w41#n>jG1T3p z{#3Jo<3itVw3REBBbC$!7>?Uo=P-@%Dpb~A5^YfSqZ*`BibM8i|1`1x{kLgH_;m<> z^$w5*_>A4`*(qv)s~(M5o;*K^}ceL3|SKYxUpsOdRilISOZ!Vasd*HzuPRqB;o)zA&O z+GEDv62>7C`-rJL=mY;UR`ij@hR}(syLxUBC$qO3&)8b@>!0C18O6XSa~yLvfkP9} z0ZSiPzDi7Na$)&iXkAscUJ5trAOA)zC5Cv=h2os-FXSiXQ}tadg)2l?lvT{um6;XT zGx3@IBbSR;4A;fp9h$X^>a1%YIH0`9svLI>Up$>})7WF$iRW-?X(>DAO+Bf1hF1^Z#5HhGRNWio&z5M;RL?o;fmv0-XwUhoNtQZ2WbiDzs>`UG466;0D z>}Shn%VwW?WVB|+9c&(ByAVNJMn(hY%BEPcp2F2zy#xuBFYkAeKN(Hve@c#pwDvS^mg`z`Es8=tZY^Br*Sm<<~5H>l#9EM)JUll}Fq=quo`f9+ zd2E6I`FwA-@7y)7JkA3yJ(l~o5=slFQC8s;y3AfE)>>4P6IZ9%0O5bJ;rx`ce(ccB zpDHu@-#%8h1P5-;Vf4j;L$m!cyy30z<8Kk2FC8Qk`RJkKki$C6E``(^4hyL;S71TI z_4v)pjS9X_oOJ(6jRV8xO)W+LlWE2)ud}>e>|M6{=;|JSj4~*K7v!jeS=_D&U>H;yKId_odbv;SQqfd zAhNrRJtBh}_%gge&pw2^EuZzMc)=YYv6d6hy4ib8(o@LU$AEvAu5Yk5zC?j^0Z@OW z5<^aq&viOhOKN)gAc!?})@;o6YR;Q$aJ1&v^RU?5-b-r}`i-EY?=OQSWvC|h@W3l| zPX5gJ`oG9f;eOSMwIC5d0Du0GtI*0nw$@m%169NDci*LG{-h#xmDxa2eoMtSb!W=Q zxTtWKQik$?VtJ}zw7qdC?xhXnCh~J*ql+(Y9_#sD*C*-i>Ww(0U%8fdaak+r874G} zBzZq&&`wnmrpFmLPP5Ce-1_vV)Vh)uvN=}<63AHJIw|*@IQuEs^gJ@Z$FO7f^|lwk zu}vrW+t`Je2yEY4zKSuwoarRzvxRJqP~W_+G4QWg{IMe^I@gEI0Ddoa-{lE6ON)N^ zq@A*RU)-S51(|EbiT1o7N$9KJ#Ti+e27@^uJfdeB@0Y9P&6Mrg?(l|)<^C?y`An(erfzWGvDJmzq_7PsV>>0EwmNHXw^xtV&YaSt}VHCU9jF+x7NBCWjxL~an!d}k( zf(8)_R#vPMzfRlCjuZ04{;&%;oaPKROSDfcuiTN7SzEl5_p496BkT;xbu2uzfvP|ysslzf703UKf&PTEUC%@7fnKc9C^ zi)`&$HSPx))x@0V?5zek-R@PntY*|8k1wDp_5MDMEf?eU|IL+BX0?Rs61Uc~o`vKZ zG4Ts4kMQ>Sq92Yc;m#sf2+?nXU3CTGfL*5iNOaQ}0s2YWJ9Dl0stsrbDpA);*@TXj zHdvWpC-fut)p{HzdV}WJdX^#()Qt};ASmB=4hBHrA7E*qIf-Z~%i)^s$K7?hNqF8( zRk}tmcZfycv`1Q@P86NW1S3(2`eg0>)q(7L0vN-Aa>P)~iX^c^cd$3~(HVBmm5o9P zu?7_cd$%7Z5+yDnn-=34+tEea3GZ7u&D0e=nLi$+xA&zo+HA5&mr%X3-Dy!j`LuBXKO`LPGFs z`at#jfRp*5Ahize)C`Oj&#+&4`g!;_ckB8-+SQzmS!ruX*{lq#sxRU42=^PDi~io! zQ0AzLk;aq~{xn4Q_-#FYo{z=UTpCLxBR)HA>Kbe7{7aeJ+5YOH#|-(&;h!3{Tdrv` zoqhvCpCaCVj4kKNx5MX?FsrLhGt7D-zgAV0BS}=o;G8uvB0}3G$n?j+3OG0L`&+p7 zI!k>0&x#JS^ca7FVwyLKlo^60tYS6e0t@#1Tzt9ri1edRp)^-xf^w9LG!KH_x(_5b zK7{M(g3LVJ6%!ikpSv#fs5|u|{91?9vidP>8H-o&iRm4(0y5n6#e+7`@3L5~ezb9- z9zZ0OkC~ymTsVkuKJ^QMjo}~Qu4DL!pBTcsEZ>PZgRvPc28$fx3j?6XdaR(w?}f1$?mVsHsgBmJj(=PP8!f>y2oIj$5s7&dB3XvT5g-z7Ahwk9QS=@|iSX%|&6 z#Z1s`szFUvNNLl`hfcVNL|IUB@wzq ze6#o5Q|&M+u83TGAzy58w`orCn1<|e>~z^yJvVW1-J9VV>+B_N`s;ARnD9+a6NR^V z^Rpq|SxOFL5YE`ztJBR>DZ|EkN?FNTn+dkLgKLYql#Do(qFV6YDY`piv_`>EOL)2rzonTn< z6F!zBXZr_A7P`^Zkw{I3fpz2XBS{9MR6ZlYtzHHjz_B$*oFMrE)Bx0rRwY$Y7X@G- zK*k^za7vX2-B<7>#_$)Yc$p+hY=zzys0=WwbQSIpk$!=Z)rdW#@LhaJY=!dM8;>hD zY`7PdPXq5Hu)me{$F1^d00*f7ba9(d8Mf~S=-T|FWf)9QRE%+cp<8`VRqZ>?qkF>}FvL-ntUGE}BLX7*ZD&_BZB`Z9m1OD;LF z@e9#dA1pr|!Yf7eOgj@+)Z_9NztfE1i+MPXi-q)tyBa9tOW$934sTbz{+bA1i^VfEw z`w}KGs$Acge?=!?H|5A!Wmt7*N8X(k+oZ1zC>Gf7lwr%CS$&m(Tn}V^+~u+XYfJ)# zgt>n{H}@eRE6Pov5&0&!ixT2}nzXNAr!}2E5P6sfpqTbS%b*l{uK+6>G(+XdNJpdy zXIK5DxX0b+B3l0q{xo4A=dG1B6D>koyjN5_z;`)68&d2eo9|b&uwxj}qMMuXDPogT z+|PD%aza?LfVd5ewMXo$rgE`03DLq1$+>cE6{y>FVm}cSS0O^Cp}M;=_57ai^ikV=Lzu&f$UY2TX{M^J_c@^SbXEWxK>gVTqB4xvE>?u*{`}O z`|scRd8_IkAqB@m20xRkI~_^Y;;z)~$dOJ-Z0o8fn1326AK&EmpP~LigQ`~BC~shz z&ua~HlG=D;Zo2IZ*>|*xmfGNweg60^RfPB+-GzYg++o9E7~vb>1t4lTuFNH|czG{AHd&^- zuQ*j!WY8WaF$zo~D1oIB&y81eTL)*m)BCu6$<9(#;Fi{_e`)IU7dB$A4be5`xbk$c zMx!>LS!XR1RL~9Dd;Fim@$+)mIH3lyvEV)Cc5x&Mn?#DiwHu8!hsy&qAda=SeHWDB z|G9BAxb%hFv~L5OsL9wLg=*$x8={}V@vygQhJq#dKJo+J`#k4z=#^`~!LqanIe{~n zcw`i#p~_<(%?TMf`1#EbDT5ZalH_^?#v^?$4b!T|U;mC{);;fDd7QV-V=?Z5Pkruy zXDSEzV+@Gws!*L#xdDuz1|6B@@iWHtF^7vuX~xRHPhOTsVqZ+N&uT?`91<0>-(``ko#YJQ5%J*UrOBHOho#9B1SOWuP$K{$>h)4d+Kj3-*qf zB>n!!$m4Dq{}L+}w}Dw}@LmA%2OPmaH;}ljyJ(ItqfbEa3N#bP?PABNie61SMLqwj zGY!{)NLq#eKqZx*OjO-9pKBxFh`ySj#JL)eCo6)k@c2n5L%ht*)elPO;S%ZVE z>2CxBA{yE3Hq?-YV)#CWaC>KuS5loyhu)m6o2CKpfrS{=l3{Z2)>Xn>XV=qH_)=&W zxjt*P3=p8BCf5|=asC0;Ub-N*f2b1xdNG&;= zeDG-vOb^2=m=OORnL_k+3?8-uf!Dt;Q4Go6CgG>rhbJ1Ll^t)CwcHYr2R}`r;8l}K9W6dh=e=3Jlj~59V%*vQ9n)-d4 z2M6G^zFs{B2dQC3ua{SNDb!SZg5s`mb{G=v)31jyX3c-xVNym|OH zkNm@E$n~G?My=gl5WPo+h@Z*ktD2_wHpEs@gZ*0E(FdkOE2fnbySIy)szNe0oAwNj zEC@v#h$VEq>H=st8YEl)01Kk|0XA{;ndqe{+-9+9aq*y$kDKZ9+DcrI$;0)u@tX)6 z1_aGn;B_bIgvsq1CGz2}{b93pVTL=V6-hd@@{MQcLp^sN?xaX1F(9(`&!dt!<+qE5 z+yV9l%V=ECdy_)}X%^ZbJF4B^6pv(A^PT{fm|TPrgOZ3j8wd8Cx6d$DWFU@_n2Y-ZBI}2`SRQ$&kEW4O~v!$WrlfuH!#xz_I z*onQZ*;MxuGAo`9X6Vvjwi!Oxzo)`*9fQB5df)O#0t)>a2jZ3l%=yQta1MH4`^mW^ zT8%@*h@o&-ftLc+d)MVRm{A0-m|cOYeODPitn6?x+Kv8T?__Zt0mPQnvc|D0+$II? zwGF@Q-TDRMw4ik4MReSu#*E%jnekjP9d2P&*WmXTA+ukWN*jd}1P2mbDr+QvT3{4# zgp}n6_7kvH{S~%k&-u)E^6%?q#Pv_R9zm%iY$n{e5Qg)>elgqLHnXY;i=xac>hipV zWC(QaO~i9MdV?Guft{baAQdL9js1(&wBd+6R>!2E50^ib<(m?OvUnXN$t=}x&|{{n zj``w2KW#yp1aS%-O3LTOd$YS{v6vN8v;~nijG4(@2_!|d7=A0{TG-5GA3kd{z}|B_ zo^%%9MeWHw4HLj@l$Z&Ty`QfpeA`DhX?1h8bMeIQFo|}b`%KA-a0`O)ifbCVv-bPD z<@0tfU+PiA5TGm0!_|&gdxt-jkN^BxJw3)NX$PKpbjSk3yOFmz9rO}gH6?iGZ|$kW zn*gg2JQ@{7;Vp<$kDx?KtgsF?`)P)pRZDF;sB#V$gCQY^z}HA;`S+3!?Sxe*S2c(P z`H@J#=*4LcTiXi-c%sr#-5YST=bEQvwtzirpyEq*(@a9W&j%XjzJ}L^6OO65 zlG&5o{YnjPs$gX6qE|oN^5_g4l4)=JInG#Z&RLRbRmM=G{t;%zrFNHTywaU`DEY># zSK8?LQP3At^|)m_le^6QpxPHZSZfI%7+V)Kk#To*$j&Euu-~{Mf@U|$x1FD`#dX^M zxWzpl3e*ecx2D!pBb+&a4fS<%3HCLoZB{X7h#&(u@92a>Gu`yG6u7YG+dtMXemJf@ zeBJK5hW;78UMu-eVs*UZy*c#hF!Mxl6JFBqR1x$C-Q(!006a4_JgxonFSeLL_8$HM z<_Pk6dZ`G@gnymz?EU3`Q}1tZf8+mfC|SAEew+HBdB5v_SAjg;9-mA+8%1*i_KpIG zUm5FO<(@R0WlwjE??U|2QA=SdC_@L#43iw|&TT_;0y`!}^rggiC^1 zMkJ|<@{9b^Fof^jJtKmNYk;dZ*AY&;fts(5T(y!0!&RWS{l0qx4_O@qFQ1 zd%LLys0#s!8`7jqwMs%4DZpO=WIKrMxH6W1iwm?-+zb-^9?(~zjunEzIn3vFoyF$u z(T@xfh|;KM&eMv`%Nw~rX>u_oIUEm*a((9iFjzz^yDo=h!PX=YB(!BMWgtjMu8k6J z+IvaRgB!7r=2N;LM1n$;4qQYWjGJkztM|{(VwvC7n;Gd$+dr`DZlsX0O5W=se%ddY@w!v0 zeCoNRE;F*sd#Z7JX2|X}SSQ7D6&GN9o5`g-Fa&Dnl~o?DefVag$9q!tQP;M;w9Y(kBhf^sj_y^*y>;HMft69q=QxBzrhZcU zF41AUF2WI+M&>i!EoN0!+JdhS-P*-LS+{Ac+p52%aA`C0#Y#cRIh98A{de5zub0~x-H+er zN(T4wB$Dqef7|P!sFqM{*F5^z$g%g7VOj=BnesKJX-e>TfgcKg#|#)abM%scTkvPf?> z1Xl0sAk0Ol5X8y9|HBB@Y9j=wL zFID)RacB8?p`AMx*c0Sof*?6209|AN$qrS4F(M8s?sqDDR9Vnod#kJCga0BQCMTIU z9h70l-;o81dKzw;y|L9m5=rsKGer2_LH-6Fn;Z#f{@6$oye9LErbLCB5uS$qL#Kxd zv%|)nNBgS;FEkkzN8r3dFYMviws3cCe06;x(h_wVNmQN!_4EB@cyo7lyminbW{wY{ z)u6%=WZ-AA>(&WTfi=V7>(OK(SliM9^TnsG&$n{@#n-(AGq)z>Qeb~p z1+19VhhyNC%H0gN-1bpi=i@keKaE>=;t~c5W7jw?1L-jAJ-Hdhd1RDw~EDYHI+70VLogKQo}8}eu9+k0FXk>;CPE9|G`|DnmW$9MBq1e z#=_|_Iw>#RatKpU&}Cu!82W+8bJ}gn>_+I2#c`v{PS~oKiF$+xmXR(B50q!V*mw!=-k=4@nD%hTH3 z6b2b}qXi41P+fjoY z`@8o21`CN?n3whrIb$o0wus)`X54ZrPMaLMv3pkHEq^UvpWM`ezt|H2YY7DG_zlJD z;z|Uh^PR=io_;&-HSQ#vZNF(-8?!m4uTxK@Ka0A|dQJb0t4-}8$R<^il`hb4FpE7+ z=if%G>s`xbcGQB0-n$v)x0I{gcG9zUbr0P&vPlN7jTkRv|9v~{;dV9`0}(^`g*Vt* zXGm&K>X<()$N%hqojcsID`GEpa3Xdcx_EE|_l)J02PR`$1$PVb{tJUu_}|E)1z*#H zSM`6rOw6ub)PdY*H`#RK`8Gtly}nVS#?KtnQUj>uh5QP6IIstqTJuNZH^Vg@(G&P` zpaqBl8mTs?Rr|qqpjiMBFZtMBB|Yv@KZF>fzSoyhwi^d^f%qu1vm!)WemgxI6zylt zQVjGUomdx(5$jf5;E}-cv1sNAvjI*~mKG+WYdeHVpE9){`3EfwMK7B?dwGoR{&U3bm0P88?L5}F`dso&o&qMw&h<$segKL!SN~Qe#*|0e- zXXsOOabW#I`&FfQ%Uv;=cG8yD2eGMhLbP8}AAW2A#>xuvi<8@yYy)hIJ1mG~~4!m|5 zVU1EB*2KR&IcPP|Q_%#=Mj(!}T{w;{H7N_b1=h3LIV`5MsW*H6=3$MfE8-Z!vBqZk zx7iroS!Z8M7+0*dK~Ryioyf!awRli4N&+3V7Gf{#$a3Q$=;>`Z!#L!*SA4`!d?X2n zw~nN%S2wl$P$y}c3eTlI_ZXq$jw%}Kf+>|b`D!Rsv zt#>F)*@HTUeS}^aCV*wGL~u%{yXLtd@PE4g{~B+k9&~gMUfA3ni&zenD!VueQ^{24Lc_RU7?c1TA#mNe@8yF{*wB8$rkL5d!G1>v=wL|2!{ zkday0VEV`CHH}72!i}w!HiHYdo*KgMBhqbbzF^l+WrlM@V;+7U*M63!-H>~`b0U&=Iy)Mn@{m*3n> zB-xFUA^tfdN$^Odzu%pGeWeeZ;Ztrxi_03hP($|CI*vYjND-4z%w^TRm4N!IEud#Iq2ii<*`yMCxf`=GK?d2<6e+OE1JcB!M`|Vw) z)9uu?o-56`)PCMVZ;dxN#TQDYn>CCS#pZe|6XVJDS=-qvv~?oN)|m@k8`K{hP%*f? zz6S+SZ3M4F=Fr-|rgX2fpw0o8 z+ho1N&5%@sImlm>BrX#({Zp#;f>3e*(;}ahhG%uVcP7n6`W~})_=UTlG0vjA4bH=< z`h)iUG4x?MXD7&rFg+)dr zQ+^57S`|%^O*^EVICc`Z3>wC1!6T6Z=s|R#^q^xFdkj%nM31UGFR@)rI$F3p17ruAAl{u3#VaF;N~AO zvMoFMj6l3U6S5;5wmt>|(567at$=Gf>q)1p-B^MJ0frT_3WU7JKf8u}=1IJG4}6}K zZO^>hZPBC-@H;GsTM{mW5}R(rMT4$AlMRedgRZPk>In{2UV2P9%h0>T+#D}Lo3a{w zYhJ=#WckxeL;3|fGov(vwTh?v7cx0ETB0>8pSkxF-doSWYAuZM(a0M4=Q(x~+!dFJ zQiFl5gjx@TfuzNCGJJk3;V)$y6Aop@Hma<@Nfvm$cwzkSd04vt2;rfy!OoFNJ)Oiz zF@&xbJmI-e&%v0YaLl7jwVuI`5Yp&%U_F&)C;ZjbgB;fU+#};_L996$x??{0a%?oT zbO|MJm?L-fjqKQ`p~qpL>CAXr`Rc=nc@(1cI|sHr5AUL;*HWZ%pa)zA^4X1SdpL80 zKarE#{Sz|Y)!xjHmOt!={FN)j1;4HoM9)CPU|70<184mo0NFq$zX%OLZCwSiu6`Pz zt*wD1%T?K5jOBr`$$tQJt%=bxJt@6cJo8IyWdUGDGB^xkAGZ@TO#>?rr1K9Yk3lbG zd=gEmZJ1FXG9lfZS6e!-cJOIBLYV8bwW@#U>lWCv15C^L9wUu6Pz@?PxAZi+Ni*RiLR4yU4{3#@j*{^}=L{*n>8_xiVA zE${w+ZP%2W2_{Qyj&6_wHR+co5ib&<&7{ zhB_N-p64EcIA|CE*>F$Bm6HY|2ZD!9dj;Ld5Bo*TKUgSpGJft}WB)b|O1NFFe|odr zx^l;Rx8dE!Oj;d8Cmfrf2Y6ujd41=;gN!u>>F{dMO@WS?6EFeYm?h@4M*t@b4h9qe zAOyanQg!N;y{u%|V{9om{!1VPpa9?l8C!q$FcaA^P83ou7)L1+=T*j`!8dy-uKB)~ zof?2((92>C5$XC<3~CbafLD9T$=J1L2D7F6Fxn163<3MSh7;Vw^-fID17^qg6q7!wKc>x?2FJAT{*@zjZ?|p+PuP&9h z45=o1hO)Oe3Ob;`5B%oxs9uWaL+-nNR&e<F@?`W9EpxtrWJ#GikR z-{YFU@gMs_eZ$jDX*-PKJYhN#=rH3Os7XM=4Wovq|oiEKl%PLH|tbmOx<==6KG5seA;!RXs4URWCr zoo6M3+(f@VX+-|WC;PZfsZYY2Y+i#^4p0~*sI!v*uK*((st*ifMqowt0>IcO2R}te z$P->s2_B3na6re#kYuX7u5HPNqFk`qB++93J@z&1!>jFtmyo{t?zwXAjaSOCGvVQ8`=O7N<2b;!1m6JN@cKCd-3Cv9Zg^e+ zXyLFz$W>z4vd;_Qgpyk|aRTSx{oUXBq|ZP7(?4}M0^R<3(Glpj56ZLvrdW#%@Rp!k z0#p1>qnrqLUIE&2ueMxDn&4YD6m)clO?v^|Qr4VE$}-aHpWG~8e)v_n^5Hdm?$~>3 zp3Q6nw5YReZ1`0JFat2ivJxkrOkT<-?ubXde1WWBOl1Hi$Cj2 zC6}G@LC`y&2SBs2&C+D0NxI0^2CM@5MVba7t3d#Uq5%%cG~-6E0_facQaVVv!E;k} zf`AOXBpCx+{8C@T=&u)mNdiD=&59QV(pzm)2Ls^T(BN`6xpc~iKYiIQv-r(#@LqL) z`{#U?k8z*(@sgdGZg_buKp&n3$b^5-tZ$u1x*n`PcJA{he#qZrZHZ(r#d|z-7_5)* zc$hgk>9*0{OOKWVJP?m{sv+$yr$hpBuBuHVO+32renQ?m$)cc~9HOkcKS!Cy=kB+w zk~65|{P3t`&47~A30ta<22w^9mj=hVVLo7xPu}Dz-nde3EbOm?XmbdFZR|lds?jSa zr{euLh`RSAV&FWja>4^|V;K*2wP}k1fQOw`J@^E2TS_@`Mebv&<9J&utZZ$TMSxZ& zA{8HAiO-6!7h+GjW8(K%vr*R7hAcg5yB~M^zt1$>KPVqArwT|!f0~oy2HfW82W3yx zMeOkhAlp#dTkSOkwTrZk*d?kr>Dgx+LOikjF6wjJHbY&MdTYBv^@nuvd;^5SqnGrV z%pia>{lVHXwQJCov{Uu9cVLWXo9* zDjv@RwDBB`G{75ycRf>2r&z^(*wl^AlPCD?K1hKM6fYh+;Q4#=2Hd{>jZ;b=+Ux19=1}R6e0J zt{9}zvBxH~YTy+*<=5+=OpozAaT+L+p%X@01>RKZ3s_@A2O~%P>|3vqi{5pp8$pSlCaMCr`ibl;02RQx2RX}U{4K& z-9VUckRGw@Dc>q&o!)sb2QC=^lFbA9%Ai)|=)r>qjf4OnE4_GH=!$dqu+7tB^?>r0 z{@~r_YknU9A#2(mKxCgp=ytm10vDnC)CbBN&%fn%052?&dm?p}ag<}oyt@osS04+K zJDyJZjo^bLlm;F$P3ixn^3HBd{KmeGTY$UOv%CkO5%;$2O~b(rW5d!_m5)7-bWOm6 zhG9RFqrUs#4*C+>5b@`>2c8B{7EdDb1V8CDwki1-hz9iOu~FbLp3U;2uKAz{g}hIB zx;>RVJxNx*w^srj7^^@_mcTYtRz6t3Ktb<3?@CoZh$8B54rbJ)w=hi`ag8wyX{O~oN{o@7*j ze$w74w{lNxp&9=(P^X%Vt+NYAf`NK=)%^zGUXD*)fHZe@9!+#w%6nW2;N;#fm z?3QD=BN{B_7#k1797_YZp(}*vh0v39yum>SM;3U0>#euS8*jYv*tq(LUVeJ1Jl&u$ zJ|fgfq?eva|b1&1E4V=q<0%3z1!;OAP!19J>6b;xRAzwafckM7R7^Tj9`w3=bSU^IC7Lj^40fra6d#sdQ? zgK;vDFpS6>h8eu(z}%b2>v_OBpO{n`OBh7}Y-Ee&1i2x90yH*`oLNVV+Wp)9cfrk75GlMkaj0g;>tX-faLd zG}{acIJq+b@A~zg^1zrUkT!=kc+Wp%0$@|83@Sa9G6d)*{pj4Ul|oNL_6;8z;WkY9 zMh0~g9-o{j#~z&QwZ&3Obgyo5{gr4Ln9Uw{7U2DVfdad1bpv4f`QpCl*! z*OJ{rpf6{GegLff5^WxPqj@uW^{Fh;%KPM#Ps#@$eBiz4{_Vg0x8>jcyMNc)Ug<~l($Gui=@x_D2z8P>B6UFN z4Ms($!gHU-fJ#Q=3^5A=7)Rv-z{<@YJ^QEUpGN|e>h^Sl{|+KA(c*c_T4|i4fqJm!7F}2P9)3xY)}>oxKbK2&2jXqx8ZC5=Hxj;Mo`% zD!j`kyvI(@_y@eQSb|^x27?P3)@*D&MoNnG$O|%}3^A(6C$p9qRFo}CCjnh4UiQP| z1XF-72GTx=K+og3htcLZ^R(_leuK>(SR4yBh%myFz8 zWY{n1-R2a_3a87YWQSqAq_Q;6RlOLP&WRTWAgyCfFY9D*+@5DSb-kctH=#FE$EV6H zbx`HiUO;zZIdbiUaY&(Z1#rvnHB;m)K&3V1lT#Q0I;qctp!AR!9Us$RM)gQ~Hz=JW zkJQTvwNFhzXQj=uS`O@B-y!dr#PYpm@wBq(eY3`-icOWzr1+f{?|6Q3nkQa3SzO2x zpv--qZgRVqk|Yk6Zyr~_Lc!o|$O*28(sx$m385yamx!WC4(5&{VunO^z21 z;8@ils~@WDcqNw^>Bfj;woV&8x9m1Ly`COZ5q+kQr9B6{WfS`u*%tIS08=sXRA1Wy zFWE2RrR)hYz;z}RX=~uOsvpnNA;325H}+a=j;r1^h7CBjWqT}Qze(=4PXMWit1Iu$ zzuFYi!4{c4F{L&>w#NvWafPF&^KcL%9ov?GjRyPBi7k8LdBWj%9KOJkSb%(cCyuCW z^bDu4Vx#&b(W)=j?fMBZDxtLfaye<*!`y=xZw(;(0ULN){U%pdG%#r#TV=!~tDPSt z2U9kN8G0nfN9ZqJZf7r@F0Xy-yqA=I>kr>4@BZYia^mc<4&cUfby9k{5u7&##&(S7 zjy&B4PmHet+yFlrn-UmTqchLbxVn2R4e$m~hz{Z9cKPyU1Gh)?&xejY-S$bON2SLT z?B>mz2HgOrs6bRQLVC6l(*2d^pyw5AOX~LGV;1MssncbuHC5*C#X$)Vs*^tNUw=?; zeR-$c{PMO91%M7ZX)jxp;e%217}!!HW#=!IX;yfT{|V4J-UfyGwk9;gE7y- zD?rN{pt{ah1DHX`4A8?%s>KhRtLLec?Blk=@~Hu|7XaRFFT@A3-~>d4Ny|0tpo~e$~ZX_>wHg0Bqn!#geyOd*fRnZSN!c){hqWemU_xBdfkn-m|D z4YsCOmvO%8{oD?d@ET+JEnZ{m%W97m)>p-U)t~o++>R^Iw|Z&0WVB6Rrx4zi@Qr7)()+Vd+8w5xR!o8GtBYfSvFiBI!gm317%0sm3%y^xoa(r+Li zvCopyb=8kG=>8RpIA;BlT(L#!Aou0U*Qj)z0|2I(v{m271RXXN{GrRp0z1ZD-q-`;&HPbT3W(}3 z$aW30LA-+?#(TMC5cVp-2|y3yz9Ub!!PBEhj|^Y|X0b0C z0S6K51fA=1LV$v~_xl%Ld{I9A^i%Wvum07)D*yUl|LeyNUp%6hpN>GceULi|1sY*a zApvybdjf2Dv(X6inMQzF5F3VcJkL>M@H9%$jW99MEGN~VHAW`Nwcp<;*M4`S+`e+R z+_`qIJiPtL9WKV4jRiVWb-ecc!9ddB!82dFUpHYC&`HmnoN{`2jWJuu3>^AkAVz%d zbwE#DVlbP(okHY_|B{~^J(;XX07>$ zP9!y?M3Eq00CXS#LNJ7DpwZ~AE}K>9sw(ICJrVn4-Zv8bHBUfohf8El|Gvp64&7YbR z9uh zG3^fE8PAdcA~F~O5Yau)U4KxQbk?-}MPG<)Fo;ut?7B8Nqc*N=&hu2Ng;&&WK2q6Y z(|`bxcn{O&>`|r{oX|VjFvQcnCC?yfPVLUp++>2HD`=e<8${BUR zU=4Bn+Q0u)EVV}^nH6F>wx&h9P5vdXXd8t zfoIQsZ?dr}J!D<$VKXpI6QGg)9d6sE z2?7+)HtkrJLF_hD<;eDyexo}=+H%s1jW?ybj17Z5L)x>RpBQZ9132p~^1So3B#m|v zI}uxt9Z6ZY?Zzjr8fb&@tn>6-=}Ik!9>~x2o5Hh-FdQoabZce-ji@yObh~xymH{kw z0EJ_=nd|$IP%PC1PVm#8{xtpg$3HfB`=u{^$-KC@SneFri$J64rTZWQH)?1>uA>2F zM-nPMm7EHXHyeOkG{iONHcSn{vxtuI{=En3{+)YXr(yN(db;!8J#Uck<8Qv3*Kqss z2kE2t?#j4T$4LiVI!`)Y02(~q!szu{AL>NinF1*2*xmp#E;49SbhFoN)9pM5Fl0bS z@0wse7XTv$JCX;Z#nTXEtTa;*4p=UD%m#(h7sf`zdT$sFHo%docoOAfzHkD>@Xc1` z2t9d_nT==v)*uueL|O>Z4PXiH?MHbIA}%~W0C(`20253pWBegWvkv*c9nkVA zKI^J~>iQUwCgfq7Z5WriOlSSAvqlqM3Y5X3myhYGlp)g10L0~p_t;P`KyR@wod;sd zp`WK*>o;UC8|l||j679c$U4h)gJ~gzJjY-I&N}nseW%bB-l+Dt(=h;pr{Jvge^5c0 zqkcKRX7f(6cmQJj1H7S^e%3WplzaHN+60)a<#!w8c!LYz*6+CWdg?!$CjhDdJTZ+D z?z_G#!s~`QdmSp?E6#O3 z-^;3(Y{bA$lv98Zs6R2zX(vA{!c&kPU#BJS3BBVfQ(#x4J#9yc$RGV2G9o`QM;;=h z+wW4xy5%jG*q8$k!zn#KsS{&*=lb%xI6in$F7}=#3^2i(LOF}LycpvZG zEAdL_EBQb)jxXDLj#oFhJ=SlkfRe4eq;9A#s9jiB-^4DNx$abb`#vai5Os?9ZHJ1H z&F>}OD0A2)l7+m;)Epd`!X6~Pc((o_0nBfOz--HoG*FPG4Lyz;@%EtLf!WUw3%+>KRWbWy)}T5bkxdccU2l z;o%nLkXais#v4()#2B2hH+jOC8xF@7myIDI$_-0S!2pF|2GF%@*UY2or7sqZJl*z4 zydT7x3JyvgyOB`oVJbXpwt-sH2;=2O0}$ZFQKQwBwe;?f-c9fR@Mr1n`w!Bi4_DKJ z4<4nD-n*SX`uQEN>&1W_P|HS?*d3ts)O4!qm}&gzP~iXqY;cM25U{7$dS3Iw9&zh? zTR@o(9H0n*&A?lc!NwKw8))NwGFqZMv{2GXrwt@spmD-Hj4%=7&;5n1|Y~!gQ(JB$^2dMTgLCk9+(Vt5B4uRZY|<}ap$pxBha`ooJrhi3|72#NH^Dct^p}A^8F6!nX={QGYAOb;kJw?0aIHJo~?VQ zrmW@l|Ik(TGLj)%7CfiC_nXiW8*fZ6Ou76~&XEJJ7^WBUyYEE%N7=8rB_pv(oywL* ze>vVh$L(^f|CB|%+?ZaquDr&xkhRO&B&NH~Ne0>!ylmLS0l=geb-;B{oIkSUx);++ z@qA(`DjNqF2&ZjR|1dF?>*w;Lbu(U3-a)vHa@awDFfqLkU=R>Xf*W*et8Sn-yb;GH z)K*Czyae$WJ|SJPqW(kmLu|AV`e7H^xry;Kr@jHeZFM=OVCJ^BmA0)Am9a%sSA2f1_|>=h-|wsKENh=TH3;KgK5NtH$J9r>nN1^4xAuw62$-@-p0J4_%-9=p86FY>9Q^sue{O#7z4z?#25|cu zzwsMpHsTo3i$l*1=mxnHRU;nUO9BX>u?1`csRpqIY>T*^)>4*RPo@|CJ|n&>U2 zp#tDF(+Z((>O;12o_FvrI%+y>I(P_IeVDIqgCq&s1PM%w|4D2|2@5B2B+Info z?Uihp%Rs{@X2S|LXK>k(p6nGR!~Ya=!eFPK;i-tOsBZwN80qK?ozfmLhY+>rcu)Fwpb!f06#NR6XJ32j=5F=SPYcg zB=p6A9k60*4xnCxZROb=wOe-{u9m5$oAxSP8Xr%K;}iCjU6u|Xsay@30J@Of>jutb zFY;COUH2cZr$=GqRD_q?DV5EWY8Thl9^LcN>av+4AixwN?^JBN>v>eKO9XW0WjDD|7LGqBMB+~(9Kun82v680n0PU*Yt zxpjyVv#yFZKZd-)@xKO_e3p19sM)U7EJc^rP6{EBCPtSN$G) znU#-~4INNs$_b1O#s*bOV(jy~vRkol(8poBOUI$~**;d<(EWnqSx~1uj}3=9r{p<6%yDE;KS?}~qxZoPZkQ%moEu$(=i`1-g9>~T-IV*ukXZn_^``?o}j9Z2^I3ig^vpVzREVT)|u zY=AG#(gErAI$C1Vg>C==vPV};K}Iimsu5o~vzJt!T9NfKCPNvcNcSqfCzN$v1K{z( zw0e#g@Q!X|FATlIo@PX*|Hz7b=rE=n=C6>vr`_hkhOp%UbOVf>_If`|zhdy0%K>Zl zu=qa)=SH$eslmGZMHM|-YRPVIFzGSMS7SsUkkC<{@`>j_&X4TbqH-;LGELFz-zmNf zTK2yj5-(-xgz5}lT;5q%1GrerkmQE${AJyMVD>EITug&Thi2-X-^<5_?0IOtQ6Bsr z>6LsC?@AOey@Yof6jZ(7i#__{<#^jMrSqBZ=>fT((GIDed1DaC!LFIefEQ0ICBI)E4Y};X4?S}GiLvn1e$iDt@4}Re%9;^LRG1`#K)MYQuKVS;k zy=jN!rv2HJe#7e#0FE7lnS#ueQl`j`s~oav!iLHun?SHE0qNv_FNiWo|7e{e6YW0b zO!80#u*1+FfOxOs406Az_GXMWU`+WX8S+|uQV9LBfg{;DD(Cdm;pv7<{UXam9-)7K z0G+Un8T})56uyB(<`3_U z4Ul*rM4tIwk}KzH?!V(1>>bbaD1E%`kX`bWci1jexj-+DS7Ejd)mN^pH=BI%qHgKm z4+ZGP8gVBtE~b+g7SidJN@wS1ianj}<7^}6XWOO#-5Bph{Nd>~ z0^QoDZlGIux(yRiZhrEUpO{&L?#`V%F2|qy+~?A-{_3x$`T6;B=ZIbedagh>h|VQI zv4fJ0kn$cXG@fmMYn+E;vjhhFR3Mm&1L(#SQ)m#K!a<3Fv<(6o1MmId{q&=6{nTr> zv2NSXfA9-?#(3R^wXD}?b>KD8xzc$XEGuEChLYzUMioC(Yz$D{} z=-nUzu=JAUdk?+XuE9FJgS^3z$wtv&iZ!4I-aL47;H?%rIU$!pAJ)TA2yN4ijH$ZJ zgm(d_xQ~Gt8wcRshp~+D%>5gBH%46c7Q`r8({njbyOBK)^$tS6TYq@o2CldUrUs!y z1CcWF03ySak$mS1I8#U|G{}`fq`cON7wi>#O*)kg^b_)vro0hE{<<8~BMwUBgAGyS zE9De}9FIieq3nhJs3UFZFv=2u8()mk+sZ@9q;f(2M!5^{&Ce+RsZaJk!jn*jt-(8; zL$6$?e66oZZ%mop(6cP`?z)&kyWPl!HDy=&np>K6y>G$tQEuH zYEA7}UQ9fv0U25$)pN7jI)^A2Zh@@hh?{|1i*aXC{ECnAc8vO|Gj8Kr$a@CAES%16 zjtrn#N6tGLG8lDVQEu!rp>77oGpcLsD(U4Fs7sVV><#IIb`M#plbgyXctzKj)dsHc zQRPYhgarVa*8q1x%;qmly#WdMep zpKXAs&!Ui>&`U@t4XkGf;EIiNUv1z$F`FeUs60%oT&%Lb*WDGjt+Yu1P`xJ0Rr(5; z_8tJ3%>@A59^7B?hY)M9M`|QagO6gSlTM3Sx6NMsVhutvP^Ig51_B7u*FTVL2k_f3 zB7gXUd>J59Ig?H}kF4x`N}E9)eZ+3Kr7wlMwOi=Y@?*cKjloq74FU3s1L* zAFz$3g+`!T`*f5*w;%rShu*pL_U+r27wq6ye&tuvXFvPd5$N`U(P$%uis%sWUJLIw zn1+^0!+9EeDhu=X0o?%KxQFXh_IekawmXD_P=GZL?>^uurb zB>nhX@1|e=_``JTXLszv9&4lRTd&v!>bwJtpz~*->%lIJaj9z<7Z`z!2N8pRaU64f zQ-AEqBu2g2n8;s34d&^27HrL6UGA8DjfeX{ydMK4z(N2Y22FgKBYwa(3^wmlD#Hb1 z+JI#tbQvH>t(Oc0?(3TAi0Ajd)w&9T=NASU*oNBJ;DkoRII?a7I5) zgV=^*(Wk*S{pUU##^?nAO~+B*Fuq;5Dhm0+W7F|j$9X+LgKh=jYV@c7ZBUd!=Xa40 zV1u--vSyZa7Q37RUZM-vH!H8CP4`nC{6!va(vL@5)?Mh&b=hGq$J9jzD7nlj6jMgo z)P!;dxNA^!cFG}B`54G&fU>_zin2i-d*cS`rG5jrpbsx>Pnl?g&?#lh8z<;kWz^?d zAg9prhYSi^iaV3ai$gqpj^VWG;@1{2SoOeE46qezl(m-k6|rs_pn`W#Rb52X>5@z}B(##MHjMh>_11Kq1^a0qor{M|1~S?!OdJ@!1{cvL&6rJyvcrMGh#dc2=Sss5dlV+_Vc0tA-q~Av7=%2FkDg0Ux8VIGje7%ZqcR7(qX5Ve z)4)a}3*g2xF-Mz957LgO8_)EzvF{hLKEs_4?s{VcJluZ%{rA&{@7_uu{o;<-9gC@u z7-IbjCr7hw-ew909F`24EQm~vVB44R}4gq4LV;L8hACaI51$B4HiAq zYsv;hmNmdE;=+hDFoaRyQ1VJ{c)t|j6S@f?jpJO#RNgVf9B2L#N&J8dfE^h429m@E zQ^d#yNCX(jREjKX{>||q2&0;f2w1<3^mx4!$rSY{%Pb>HMr2K-pX)XvNvHB74D?*} zr56lT@<8RnhP!lN1GyNPyo7fUugjS95K}OnUwRQ`3)xt+jo&#>B@55$AG+gfFweG0 z){oLd+F9@zFH5&$k^@;HBpn`LiG$)<$`;R4wp{=8I}f(;^3eO(z5{d_n1|j58Kf52&!`FW{F*$}YCiygeQeNS`ceusL z_e`Nk=}H0>&?^rnnrnR|Cyi)`3mNM8`%TK*9KYg?_{}ZF50PZ${p|dtjPfZ@J$#7Q ziu#5@5QE*hGQE`gX<1Y!q9_>5SAC*iVLBr6(`zs#k>B&DX1y81x+>#_%I})mAr|I8 z%(PRc`Av-jxT)O){M%3)2k55v4jOc;$-0~4Krgn)%_UY@X+q5xE*JPURs`|HK zBl4HF(rdhl0T1znVru16$@_Tav8TEN(6nK1nIseKJ@yrw8rZJTZ=Lp3X4-xFI(uRs zpd3u9e`Vdc36-rU%9kg~FN2Lt4^~K@2@@Z2lfUkZ3ZTVr$aadD`mz@f>%&m=iNtR^ zL3u=#B~nIXOy!v)80h_qwR#n>#o;Ob+KDa6)O4=C32W?UHYG7iMk zjc`QmQm3cexpU`K7l&^bS<21#zW2TK{qKK2EiW${w8c5+lb`&g8L)6fFAj}BH&NV2 z<)Bi)Am~(PDhE4~;sS~bF-$`a@zn#+4W{9x;AfHPBK`C` zKTqHN+7HD4lJ0->z@8v&0|*}@^^>gU#R9hgZw3y;7zWuR>xqFHzL-r+PUHc;42Nta zFdZN-82@NFZ^v#!f<)KU@pE4!`S?O;PaZMT`H+(-o@_+GwAVH%gD5hu zg9GJp-W*`To^1f;=&)a8uo+-L<%;r88NMv~!hCTY-mc6^#$NN+>gAk^)&NHo5_5abs48&&;JjdO4!r+JL4^#&Ydhxpja{7ph zxK&mfz^l#pVW%A#O5E*4?|5hz8CWt+YG~s&g#(e*W62^jLLlRsG)zWm@eIJ9-{wx6>Kb<+DjdYXg%G#^)M~V zR`D8#21;6Jm%0%3V~&lB)K3DmArEDg4QFVt_e-;S-vZMfCr_kRHt$iN&N_9x^I5vy7SwOjgPj1t%Wsx*q2InIyYQ}TS9EQg*mKpnrVD<|}QphDXbu6fTnb zW1wMaR)!6`rDAmGf|zuYM&ybqht@fl`D!P<0N|LU0Pf9SOYwlq$GvDOh?BT-UKEzh z$PJLg*H;_XlFxY~?uFq;yxD_PIE$#S5H^ z?R{6;m*zc$DhK{eeo$r=22t)PdhzugzzlB?x6=#`sDoA6q%1X4ft7zuy&~MSU%lvqJB@go}b9& zM}Ghl01yb1#QJi(5p_KGU&qtJX*}KZEVhesnBz_KN!`)F8E?3C z%6e&!TzB$owh@oG?T|2lZA^0<)4eN?Xn(U8=&%rN9(0FFTqfd83s zPhEbjG{a9er5{3=enjD*3E-49&Af4fWSvlYoDSNhH9V(v6KSA~0>CLB+a%YQ>0DpX z7c6nCf9elA4I^teUB-P(s~lJU;N7NTZf4r_hWaIJBR-^&F8AxZko#QOS+wD{1JFf@ z17X5jzp>l;n7_mcXWMEz%`dWqjLMm0KsM?$I>YmlWje5-{c%ZsFxSyt>x8cKk3Kav zVZf&L2Quo9${2Qw+ZO#MeJ+Q}BfR>ucOe@{DJG0r#tW8%|LNGM36Npo^t`t+$9QZO$t{LofK|^jD*Hl8 zE7Kh2PR`l82XK+8xCR^y6y^0|kP%|A0)QB6y#X+xJJN5juksA}0GQLw*xoOZSK0Ur zBaj`rj(dF<)Lo0d&pAC<9+~1`$ofg>g+j^97hGrCwZ^I<04r z&0cXbMk$vDFm=p1blY!2hL|!*ImWvTv5|*qlYoZ(2F+d9_^;4)PfS_zRB+`fgiN6) z16|~)>qyo!&j5VpsV^BI%TuQTV%5f0dE>fV>K18(83?%Umcc=tUh<3SwoGN&Sl7UT z`^$5lx~2F_R`-uAyZ$J@)UZ+bN}5WdS|BHp=!hRVIBqrmqGZxe{DdtM8xkzw@vCz7 zQ0?@x>MG?R%2S)fdU8y01$bLgf5DW}sHe|rSDj`03O^Ykg|Ti7&V_5O;>p}|kd?~g&qu5>*FxM|rN zGvsh6rj4e2O-rZrhYut(9QH#^+>a+Bo}8p}c52K(+e6Z+ew~k*_Aa(vp8J5^$TH|% z*^Z{^k}N9cZr4=@@HWSD+Q6Igx0_78BCD2E>#@Xhnp9DI-hCG7(mBfJvh3F7 zyN_Hxoz~rx+c!dP=cyP^Sp(F{pPa`zA97o$u@4{5l+VX zI(Oqty7cn-bn}zf(o15_qgHA&Xb5G3ek9&7&yaz#f!1~x< z;sDxiz57wRe|ya z8C=uxm%L=a!Z{2Aj2jQCVL-3aQDZn7M3JFpuPUXHbKGNahj$X%n7}}h9>N={fB`i# zbq>RYYj}WpsvKVj6)zwF?`r|iz9q;sG3A|1uE3|2_H^^1PQ(r}Sz z?-csOV5YwCUgRZW%DUH~(_r3dX`}p=C`fbUBgQlGpd)rV4sSq0^p(8Ul0J8o25qJPy#0LCLv1wHi6S-j%NNelJ3=`zW{kMpscE zki8BLOpyrkN9~Ow%It)-L_|gW#7n+#+-CePASF(xz2)>Pdg>zUX8{J_QN}uM9-K#Z zw?rfxS?qN;e%v0HfNsb_(cBa1zT7V7K99OYy8{q4L77(my7uTE+5qZ@TI9SbgUX<< zOOTuext`&1HBB4EyYXhGZF`(QSPc_VXD4M}vGyEZQ%o&w+F`c`Subt_Xt#C$R-aDs z%YX@KZ?kWPocD^GDW!PnP3ri#WLtf(npWX#Oa?lOUcHeH$Ko+v!-J3gi2>c{)3G^uj&^ph>bEQy13uHIDZj!5)a$<@aYh32!#iECuDVr~aQXuZ>&krQ#=@*){+W#wHlgpg8um zp0}J(??l~^oL92xW1T!Ab^e-jTfv7hY#XOl_gMGtZ=)^A*Rl?>U4t#+K2*A=EI3Je z(D6|wbPpfSm(DGwi!Yx`SKqvxuD^XH-4I`U^OBdtz`M;J`?{a!YNj5*0fq%QR&$KY z;CL>mvz~Wehnz<8lCgytCyL+z?rQKZoHV#r%LVg$MC}q|cgEi23uAS781n&a;r;jD zH&ZUb7g)#b%$YN0%JPU_9C{%<-3VbCP%0|!!2z^!E*ee>f2;=(4SO``-H6K0jwCQ( z8|XD_zeOXw({qC$i~|e-zFPg_Uw)b1`urwp7}3$4gR z8nf}Vm6ryXNNdrHK_R^-%O8Wg%E;z^rZ7$^9vM{Vh4b78@RU8R*0V>P^w~-FK3bSD zV2NiK(-@jO)q%a~$Y;qs2*O*0a>%-Gk#@*sh$0}dkj!m~WOO+wUS$nfSAn$<_o9E^ zWj#@z#grevuTj9W$@;@_oi1Nbb4b))@Bk82gK(4IAtuj=T z+eQ74`e^Sqz01b8bQ#x!a*{}=SY<1RdN*ZLSGb>Y?{yU=3+0o+0Gm4GL1fl7?+N`7 z00uq+)NedWw#REZ4njPqdYQp4ar|zDaym2MNBjys#r1$`*)N5D`4ciYKMS`(&S-$H z48l@3JvELxqw>%uMf-ub-3(sE-LPKtXS%nL=SK%>onU4j{I2e`&5jw?79y?j@?K%RmRvD!VRu|yT4O9 z>8lPyQHKC>0MV(>8Ek!O`8WsgLm39-qt6MT?l5E>h^f2NvJ21yYw)eFY=MZhHOS_^ z0y)dGVRw<2u>=aU2i$i{F9y0)hWkzKqZim@Y06%Bj#v4SRTH*ME?c=j&iS0}iei&X zpV*4nM%Xs!h4W>aXs#>d8hNatWl;js8)k(j2Q#uVY~;&)Y6fsTf0PF-Me@1NO-!j4&XPw z@eMO&3!DIXUwP$~^zzFu+w*NiFAlvBpj#Z%SmGWW^YQ`RAT~dsBG7}DE%PPPe+OY#AXTiKUz+Ae|az6`Q_bo=Y54A+|zFzmvh{+!2-H6 z6wqHoRcX;1xBcE1Ni}rjbiz#6B#u}IBfMiUTG}A;$;Jr)V3|&sr(LQ6$Ce6HN@>Nw zKtJft#$=Vn99kU*)yX~yqa}cg$=QiCwJ>SG@Zs&1^zhCj8BAMs;GhJk=QZqPI5HIg zV~XDZm&A__FhW^F4A9oQ-C}q*loiB+_Dm^2zYi#Xx0m%C3wGlj*iJt0ND`5$4vS|N zoJLP|eVRdJgR^4FH;WgqDc#N&>STFGQ+9&t z3!?dxbKXiHfQ!1D>t|l@ysdh&jU<=rFB?p#4pRG6qCMJ(g%}uA1YP0BX@2bC8ez02JGF&vLet3!gO=bDM zA8tCGsmEo4=j>J-3~g&lW$Y){}cL3 z+XAe0+CTe^{H4vu*71f5l<|qNbWd&hJ^Dq-k~ad7vJR*(;>g~7$32~N!Eu~W{>e`M zplmjv&pZavd>kQSC%!T#g^@yQ9<1@q~xFT9rC`i)o9~f*c;Fdzzra4 zSV6ac_=kTm1L7j*g$ozb&6_vPBhc-|qURQLqhX|xglSm$N&#~ohG<-=1WXHssj&Q} zqumS9Py@QbG`fIpxQzn1@h;v!EaYs~f6~stpY^k%qhzPZSi6DW`P{?w;4Ta}lGi>1 zgv$UzS?^06Q!8sPs&14!@a)Zkv6Q{6vTHdVb@SCsg9A@b!*FV`Xd(xO5sZ-p2*Y3n zV2Cuvmrdl%px~O*L>e$a^n?Gt&uNi9NJBr;;V-_PrpW@~*{EP(2e_bLUSN9dVQ-9H zr%~}`??36MOe@IgRlX^XycXUT1BBSaWP;5w@;i7IV1zZu*g17s#vf%WzF4UJONeRR9@U3>3O$Dlxw{cZ!Mm|GcJ30 zF)(NSy_}cm!{trKvFmIeWB}wR)m@DC3~n)S=egEM@lyu!&bWC!J~#|;ycI1!Kz$2h zAp=uMDOvtd7%0j>ioSA!n?=u5WiVJ4)MNy5p5BnWze5m2W=8%k2*oTmZQYqvK$P)SrdzC zrD%qBgbxy|aR~RiUw}wrc#YBqv(6dbUTaUEq;=X^oyYSHP;OG~G}AVj>Uy6(Uwy`~ z5Z>+vD#z9KsX(2eE=zvE9OUihO&#PcSJ^}V)`9wQ+Gf_cd#tkYm^N1T;qk_<#!vLF zUgrg1+oalero@iv)vQH_my~zCR=87i$ZpT7Io8LN%qla0gtTQ8Y1(=KN7kt8NBP-_ z3>;75RhG*R(|7^f(D4Zgy+PVkhSru>-4_`6Lf}4-^Eb-4`XbhP1N^i1pg6A64#zq7 zr?gJb5XpTx{fOQd%Nlsy!?H01Hu4HjPHZLO(0SW_YR9l| z*u9)Mm(DGu)0a-BbJxzKE3aQnS6;hlu#MeG@roY=QBSbHNH62T7z5VFalIz=8B9Jg zegt%5+{gG14v)8b>={$K zU%s5KU%ze!xE;}pL(etn7VEWvG{gLkMza1&K_eNSX~BCT8sFQuZ=0#?c)2mJoMS52 z&^5Hm>F9uB01)ou`M7jSI)~@dtzUkWZoPloAj!)8yatIww&lOQobKOxkRIq7pd174 z&Q7Z)jJB9Ikr#rWl2J02Vp=P}O#ld9zo}0K+fGDYWn<;I*P>WBJD;W{27Fl@HgquW_82cf(h)U3U#Fr>_q&!882RNgWu=~dMZ z!^@%4o!2JI*NDQ#slt38U&N=ZL%xc}bLfD<0)W=?y@&qVkG!peMk4Y!rh;M!GVPT- zqb!nVxebZ3_-s9r=50Dsmbt+aSsqUX;{B*2;ptzK(TC zy~{f9Mhv!XZ0|CFH~IPUk~ofcHZL#v?hIC_a^T~d^KI2}eSRzSQT*N`S>HTEyb*uM z&<0V)35hPIvxY2f5<-ygltbcId)2xOg&6EEEKZx5R{lW!9Dq4>yr2DB?u(Rc+G;WF z6S0v)({q#d48k)v+W=3~!xgp3lIs!R^NMlR(_dHbulYk#v@y?WUP1@d zN!|tMkT+VG$h*Hv7wgIc@@1{`L%k%Xlp_C>+IlujVB-WnScZquZWMM%25tDjhR417 zP{~Z2#rlM_bNwtsA0t=g+|SJ@PuLJ*M*8G4-!X}S4R`+|_3P?G^AZ5LALti#mT~ep zhZ%@7*sSAa^-ax&2GZBF`lTt^bTe#tBE3HW1cR}w%E#camHnPwUS*pA87&{OstziC zbOV^`*%W*zQXT_V@o^VG4|_3x?At#m-`LniRD6&=8Xc4Q0pbLKPWUk37@*soJ9iq;Ef#Z(2G||c5hRKP9%moEe=B|X zi(3Xr>=rLxUtX8-DzWrI@TIS2TIv4GK#4TlUIU>x$!-0`HuZkcq%bmD%` z?PVJ>gP<_l;9Lv_g7;pB1j_7v7K` z{UIY@Zk}GTYNO3SRh7mt25a49<1U{+C?N+%AA_&_rIvxs342Kae(?pEa){yEFY=&8 zdcyOh0o^c?i{TxB9eKD`JV@<9r+dOEXZp3vP@yn?+{AC6vVt0JfVYOry}q>y zeOSUcAHVe{pNjK^I)2vVl=2Yqt9<8U9^jaZL7l%vP5cL^D0ex2vGt$}J$Uz?$ug9X zwi@uyva~3Ji1JBYre4o$06#ZB<#hw^-(&jqTDhxTioR!VVJa=2l>IY1A-jm_Qfh0| zPc!8dPcY|~_~|BnQh&k0ZbV;T-6`K@r%t5VNws~CHVp2s$o4oW(RZ?&?Tp&pP1O&2 zNj%;jD}8vskygCk+=k{y_D!hngvvc}u|w&M+9Za6EcNhEcEo;{d!VnFrhO9w-tZ(| zyvP~eZU#=tw?0uW4k|m%@n)JjrkL^( z3$O`0guW`z-pC))NC%XGvz!+`qw@x4rDJ9fVE2ttMhfW0h7k0}*f6~yWaDEIJCGZc zQ9p+579Z8nXJ|x&+cvD)?3--IGl=jNTrX1*>ZD7@>xuuzO z;bva9?ONF|;o?i@ik+;oD;bUoQBGjSij41q8CL?hF_n?=BtTk#Zk+%d9LE99xeis# z`EI|V2uIYNB9B-qim^BOar*S>p#|NL^J`!GTKei&ziNDdDWx}V+(?%$U9!j92y}a~ z=(z*k0M|g4mAQiIyDiICkL5YT#N)PbHd#F$Vc~m0eAl{=&=&$j8M<+?rHWGLmu^BMe;&vc&I&XtPno zeKwre^Dd9;(xZ)M#ZgyD8&br@RGR|w0VafJTaGUqWQ6=41Yz{y-G?q*8FLL zOx#lrw;dPS7Du=1&7T}{XgLTA$OLbbr3yLR_Pg*QsL?g?YLMYDWNU+npE8da5hrO1 zJ+w%8xMeV1^+xSI1A3;DvQYtLv~@xa(gQrLer`r}m;pIJAYN1GhbgCc;2NYHJC@dI zgJ=`g#}sIy6=GT@JAHcUqUtf6Z4JD+4-Oj8_Ij;5fFkMPDaAr@cG{Sx|}QC~JaHI|Ok_vu|vSQnRkm;4MAT|W0n$V|VO0hL^i3F$A{&}d!yc=T}1 z?Y>`o0GXdfx!mM3Ja(MjayQd)>Y4f;Gm&=08`X_`L$-eQsX^$<{S>S+6d)9R0eZ() zt2bQ07RBofSxKY4AXOIdBFE+cZ1c1F9rj4C`Z#RH_}FH!h4QF(69?_6!7MTIQ}yWQ z<6|W@mHW4aFX$8rzj#V*{M!ixP#dV0A@mF*8Hjx~CjMtc6n*>vUg3!X~K)Kb=Y zotGVm-GZ&my+?&?uZjcMfw8d&0o(vk7-QD6qyki{pN->SuDgsXzhm54gL82%?t@44 zaSHvyZ`A&mtJ})UA%bF3|26r7l)oZ&@Iq!Tu(h9 z6$6H`Spw5PY2e(^^`KD$H~?^id2e{o(HO(Tb5sev0bat=Z^*#<7Yxb?@4TNkZD5KGgJX;gy}ZLa^&)915L&v;1ui3&52p8 z{;u?l7v7*LsuAg2I=^H?jQnPye>?4xVPc@5Ykqf!t{QFaCAoSu05=ADbBnVogR}OwV>1Up z_0}o!k_{Zr&TCNjI5EXNycysby`o1E$@2mgIQ%R#Dr1Kve@GD1uP&ULHLs{0y{k54S#2B9&`Rz%I=u51)u%10o!(epOUr5_SJbc5 zw;WdXkeRa8$gDiNizmMHMCLe#!$tEk0>my;R=p~3d!fi* zY(@YpK3*D>lYsQ)o)IF(W<+k5qR>-*c9tpZvK#Q6dt_Vkk=q@6>S1H|kg!FfExG*K z#q{#0Z={z#eLY=&>q@%*_GQUH{%5(KH)4q*#(IEmjDZ*nF%BZVl$Dra6|bT zH1Kx*{CRHxLB5aZ#i8d8bi>1q#*xrQu961;Mgti@7~Bh@F{RSOypyjV0lIPAt9S-M zG;FaJ9>+BLe2Jm6sX;de5eARMc(G-7{=yGR=f9D^_J-krVZeP%2LqsC5YMy(?_8?i zF;z0wQ0oon90R+pPobpO>5nF&^hxtP5PFC;slm#1p>Rc5c1`F|1Hof)~ zx>0<@i3}K80Bw1PD8ANi$!z(>fPsev1rI|m3rY(*wC*HZ^96ol+-X5J@{<8aClC^8 z2`~};gx4TnW(_6*vK75h1R|c$jb7k)QT_}viFw8zc6y%s(KP^#*G((B$FSvI@|G#o zPuBBuZ8w9~nV2=(7!)95q!G_G(rts;$;{=|(_WMg>reN3`mGFb(qk_#>WuCtFODBa zpDKUS6}k@c;9vFG`nA54cAo0UALpfH;#sw#R<}2aaQ;5dprGPwlaL9}kunqBrlgxe zUF-J_uPJ_3GBkjj?X4{$3Duh%94shbgu3OZZ@Xlk%2XC;M5ul;$ z2;@F&zIVzDh(wVO`K%w^m;27#haQxOi}Fi9d;HjDI<9v!jr7=4*@5UtZ7yy9hRRV8 zwhjFlWl54+)*#A0HlWu;lU(Fy8y~qyhwTME8Ws821Oo3hWN@0uYO#u*(@J^cV;<7mbV%7defd;6 zbLnKd`0}}Q>6HuV;!Ee#sf$bL^ra>D(a$RZ@&xF{hIz4R9(e#UPGU@0hqm(-)|B)5 z*=!rOFlC_*;kf5TBFZ@Wgvk$_YyjN=+=dx+`^&%lOEci$CqD6s^u`-+cslH`ZvHT$ z{?T&>y76U!O30Uny78j13ZRH{y&xJ^DpY`O0k#Dn zV==g*P9AS0Pu(N*0AB{7uJJou#z2 zWsCq01j}ioKvNAyyQ{kGK?JR6qXWaljNq8(kV80WLtu zg3$`l5kRHEObwg{LFh0KRwk`Wd-^B^03Qr8vT#oxy&_1N6rR!M#W}Kp*vk{B4o&id;Cu7yYR`ga)|6P!B=(-crC-u>8xPjfIEz1Z9bLG0ILjG@v$)5S8Wsd%b&dDL{@Ea#GKF!zV$xn2U-bk;0_GUVN<4ihr z;iNtE$7@^TIi&#IaOhyx6pWWr0Ac8QHx2*}X6#sVoR53S`+@qr-fB+W54cdfVfMJ6nD1*k{DC(dMcFa$E zO62U)OtaqC{OP%TuJFua9^6mPO{8%d6caOJX<9}F=jTt&c{tT*20cPp;&FtV3XF<#LhUoNxW zCOuVy^>vUP!pW38K{#+l$oZm_IJ`?>T zZ6@A5le9BB#ybhG@^yf-qBcVMD1dagF=8afQ;!AZ4O$#KUiwGc%uRcD@m}u9=_@Zg z08w_wCEKL>urbBVI&M$ZHsOUA?Rr0`Nw?AjdHp@=wbDY8{LMp@lSmq&+~2{Tt}D4G z)DKSR_=N7?c)0FOdDw9^e>f?R^@z5~EFqdUzKSQ?WBc#_$xHIoUVG|i$9P=&f2zL5 zo{<1%C0!rOZca%q`U$g+k;`_1bd>uk%2l>?=*N+>q5X-vXCl5FqAta)1AFn&KA_A} z*5V@+WgNNar|F|fgWGx1*RO(DlcI?HbzfcjXudI`H-IeztQRWf#kDfbEx2TYW z{U#bYkaifNaRrbX<_2J|gbri39@2?EX|&@D51q$;h+-B78OEF4z~D!y%mK32*}qB2mt5+0OZRcmRFWR z@3v=9Ok-4M#m-{3tjdEe5r$286j)9GBK^)AOysZ1q>BL&(;<WGPr7w zJ-$*Ou`BNm??LbDDsy-!V9;+E zoMzA^`P$H%geDD?xmmpKbc!AO03{h{cmZ+heLLBgDGcG7+on41GLY((4$3u!r3+=V%w#@jTD%U2&^R?jx^d`#z70cO_K_Fz9qm*glQ z;Uu62zjZxHcI5U4Jhzbydh`4HLCETlIBFv;5c$G~95!-LdLHo+tmttsc>^#zgU6EI z`B;7XW3{hQt!_FVULwXQB}J{-#2S@&c2VA8JE2edLGnGPS9TSBjr54!Ita4-d~lipyeR;h&Z94ES<*s( zXd8(7PTi#M*S+)$*p1ja0PSA3;u&>62-}G@dY8nPUOwlI5-z=RKApaF${Qx|QI4`k z{=Ntl>xDBeT3lQ-ho{@K#zT~~;2596^)X!E7hIq3ya&o!x8m0*QMKqW-=tctv@CM)pKdT`gW+H7M^fYYoC4~l?MuNto7ilAZ_<97RL)>ry z`6k9Dq{j&vvB%QW)y=fNypcC(5VH{j8#J&{!@Un5i0^0bB@8zVT}XKzxsLHMcWTaF zbDYn{NBJ_ym(6%)5LAr9mLP#E*48~; z@Ue_5m~?td2u7CT%FxReHCo!GisU$Rh^OMxxkbx(?*rwR7=5~)_1a+G50$jdpPH4C zxa81Ae5w1$&T-ZU({wX)VfDRWEb zmaMBgDs!w0IS_JPU{LM~QBJl@5ig--$-f68O~^pFgFZgi|2FcMKZHudCh4f(XOJhD z^W}Ox1MzO!Z?!*eq<97%1cfXx@>O{=C}JHq7KaB!$sellLZ-jlxy{>+So6)^*lHix z1cxOW*nr@k+J^R&N>dXjya@!G4Y+?-ddS;@5^Z_@a3=ZG&se9jTkfkJhnaFp z9KHU4(!_h>n5UG^F(p&Ku_Liv8t_SJ5B)L2VnMbdA87%oxd&U(Yv`)~$u(N-6^iVk ztUHn-#2#cyDa-~6fPZ-!X|`o4YuG=4SNN*EFKzRRv6p!-&umet zv-%T#FLvhTS1+W?uU$y5eC9@a?Q<`sYj0kbPETYYp8H-P+6i3{j|k%!CcirK?5O1-=_UQ>h4Cq%8+rh6W0Qhm1>OGpfB*01YuB!& zFMs*Vo?^-}P4)WdBYH7t1iBr90H&Dd4-*%ahe}UHI_jVs>7jF>VT(o{It)4=dC{#S z;r)?c;|AT-Njy1bkGCf>e!M}0J(a@ajo*17VWUC@5rzf3vBkPxe7OuT4(}c>04yWY zKoo{cwY7TN#1}~nV?w7}a`1H;g9gGl!bqw?!7zsM7i2xl7fl&jji*~lZ{DEci4CZD zE>CCFyQ7npp6v;z`@4C>aX+&884-^W59a`Dkd2+b>>;Rk^|PLJBYPsCFN_U5{=|Ic z&mLZ^ud!9$ke$Pr;=(|JyvNYbddZ#v{u-$FV*E46;C`m#rhqNLi>BrkG>p}Wk&!B=gYal)5 zY|NoMU)1xI=R5$-I=4=pDMYX{IbX&0P^65Lx6aow4=||nOpj}oC_sf>2YX~-ABY_P zmOPfJTxyMoH^Q2`(8t<^`aU1>EI}QL(Q$RI@rH~0gLpl0pcDFAo@?}@YlQu#DA%+P zFmZ+q10dH$MLngqdWJqm_1t}D*$K2WOZG~%7qqcn?`>?zes6JBAwhdSx0(qqz*UK$?n z+iWXcM~AEzi+uFgwjI@XabE_Mx7I&IFUXIFT-Xb}qAW|c^QdE_g}7O_6?wwG%XS-e zOmU-Q$pt75+on@nud2TVCy0qj?64)@|!i}@( zy!hmW#hjOJpR>F#3IV!(^wCEi7Xk3V;prB3T`wr-b@qr0W_(nKux&K4Z4yy#_jhLq zSwrUfIKs~Rhl$Wjj2Xiz1YH1t4lC#eQ2VEU`lsnn{^U>6jT<-8zx}uWHhu1MpL;H5 z#EoeGGy>fYK~#1Cx7cie$`hd5QAe=R9gP~yym^2!bV=g|@ODtp4UR7qG?=j_9&03o zhoHaAjE$>L$3scaVGv+o$S8<`JO)PqYZy@MjLHTLY{UTL&E)B;8l>O;#ocuK{ksOT z?Cn&HPSV)6aU4`H3J-XNoTM=fyfA>em0!x4feu0pG;!!Q3}n`$VF2VQgEAli_%O!o zsUzY(PiI`s(|iFk81MvfKa2eHj7je_0E7OD0SBYMZZh_pFw!v`F-nmWuRp*mbje_$ z8-;FyFiNMTe?0fR_DKQXJe5ZIV7;i!pc|(*4BR~s_6qreVas}iGcsf;udDa-Ld`CJ z&ZlC~i`yjY&)_Yfo9f-dwDXk;7;w1^@eesIUl|06PpDkwL3bX28|YM9=gmTta8KVB zlOLYSrjUBOQ+WQP^2i zYz*5^lGFOsd+EdJE3psUw@F{U&{OCL{ZNndLU0uh_$1?U#j z83Em#U*cX;l)b$$;}{q~t`nTALAoHuZj7-ateJDUj>gCK;mT*y$#{`*D#Tr42E*R=5r4JGf0hBAOW8qd%h?*ypC<<|O}oJd}` ztbFbBv=#>9^LcXyri-#E!{V8RG=Eahu`$EaY?^U6;|&-V&(8ZkucO6+unT%t_sq(W znVRR^xTn(bZsPFQR^?yQ(e$YJ7f6{H{7g+CUTx&eDWLyqwddximdDDxeR1+jEoFmkqcuJFv`G3f2-HW z2-yu3Nk)TYp;H|b0`Bk?8$;NjYzH^ScF`^A%6XE(HWmvf4s^p#ov~Q~gAdN<`!m>N z?={LMaid#Zv$0ZS0>HE0b!?AB4N9MAV8$+P=ML%J$N|Y^ucWd`a56{vM15mMU z9Qni!!cW&X(i7PQ*arE7VFrSCBIJv*9rl#_b>4}cpkw+xuG2?y-C!2|82zd4Lv{URJddWxvtmFvf9`7oQomTvFgCco~j?LylylGXMJIv4x5;=#^i!!kVCuDx+N z-TdUWbp5R>>D;x`>CB~5wgq{PcfcG*JHgH*K%Bs1LNL!Cse2LU-{c0j9&@94@^3 z`JzChNaGE_M&kqE#(QXJqO+jm0BEDp+|QRI=dJz&R)tXoc!dX-r#!WcqEyo?OQ z$Y`}j z+tOR)gUhe}=fPDj)AnxAK*$?nsBFQm=Q__bE|rAbr}GRHm>Lz{l}zR7RlV3VNsdTU z!-FEqR3it$0Ay+6FC6FEqNp^AbCYOmSw8l=oHK15e{9nRwE@;`gb?TVN~%MdC0o1? z+RrpA4W$lKzXM1oZ``ct8XvX*(3zge`fp5mr0z52 z6|jw+O4G(u_u2j!(RLl*1ED`QrGVMZ^~CWE!W{!Q60^n|KoNi;>!)q3_t);+3(-FK zgB$HBT#my#+49pjsjNJf?Zd_id5tjjpX#IfO|B}cZ!SBfKR{mEcyyP6tTF2zFc$X5 zLG)UwHupQp_fJo=-r#uJR9;{QkS6y(;%w_=@M*t9U+=PQJ0bV)0c;@;fE8X~5Fe

j4SZMZdxT z(0sEFA%*E_Y2=XfTCc*XHi==!Sf=csrcZ)m8y#cf-o9R8bLU$=>||5()j zfl_~af$T0PFbWfYnK3(C*6_}Xu=gNt8cuw@9%9a} z^19ylaqZZmJ87eP`Ul;dyg0KQ{hCA;d4nfqyHmA;)YIxLjjz9b)~fy)0kJKlPMqgU z+Z#Ip(49R}>nRH^sqw{=jLS6sz?f}LGiq#Rz)~~v$oIL}Sr#cHxBM81$HvP$XA8F) zUdLi1OQ&{8_`4bsF*KJmPTuw!wl*$12kV_EX^$TBA>YER;u5R~^cmzj85x}z3SNok z1i-|o!Thf2FacKp9y56_=!GY_omx9flk2lv>S&_lGP40!j$U>(-W$&|=$=(gs; z%U(`chDoceN=tAZ9~&E9BHQS%C4^;hz5F}xrR6#Z|7xA@D+=Y z+kh6NdwptKO`3>UQ!iGW;+dYFGMjo+5QH5Gmz@Ik-lLtb_p9o3DsW&ZjO8V&=!Q`U z{&>Owdv;l@A}q@k1PQW%mpNjzg?%Mb5!DoFV2EF*&!MnE%sE&rN}}@^hfHZ$BH{X~ zGP6w&gJ-m!(ThnSce22ce_KCB_3(s`KJ|<=n*9^<^Dn%<`+o2fkvnxLLo?^ryWdf( zHBkt-+MYn&?BHLyO)jVrVzNK7J@xM}rA%q*tLe65zJn}isU8yKH|GU)`Kq^DCSHmh zP^vUulbw42qqwRc%I~6l=qul8W>J8-Oc;fJP4Xuf42Cm=F=!?e&etA1h+#iguNtZ@ zI&p5b4cXVW&gbHTosvIx@=oCz;bUK7K~Ts#a8PbPnl_4Z(N5;?Mhp5!nrp6aZ&5=D z`0&|BW*XXLZ7D=} zUcb(qx|V(T;)ZSxIuE2*iumPCHJH32JmIZ#yC<4r%(@WW^MsxNy3x_v`N@{F`c$t# z!dfX{y6@XqAZBK0yM4DP9%iP(vC@E7IDk5sUxEP!Gt$8$+yk1eyvDUA>bt$-e(IVP zyVP&)iJ@jXtOEqGK)wt2O6D_#qCE!nRESN9Cp=O3D#-7qf{azIJ^5gk9JRH9nwMm` zmW~9V75&@<@ES4&eccp${I1NdZ^;o~L#HR+&{TOMFG$;i&>ejIbAQcM1{+@D&Wr0S zJTJ4wj(T$sUm?FphG;*~zREC(0>$e(Wf*KPm;aPyS^QJ;#FI>0q%qc}=EdByaOnQ~ zLL8o9kpmX*gd8EvyUABeBUg+X`3l6Eq+#V5+B;oz^c9ts0{#|}CwErmB+|=Or>o>i zBpkIAw?z!+*^@`nvF{iN^Tj)T8N{a>>2RDa&7@gRFTz6_W;bva28V51Jt%jb9+}eZ zw<(I(@EI8BCAZ0XXq2vmrQmDmxSH)RdIUI6Dt6FqYSfkg*63@xtqwj<{8$Z?b!x+~ z$2>08V$;}T$!?=3mJ?ouZL*9=u@|ia8*=x4CZokJ>rTpqdKGCc6}=v#K8J`G z_+-c8zMKsH_hF_3>z9x3`I$bSGYs<<9(2tSKD1ojNL+fY`-WoB2qxbz#mZl!h6%1p zO0VhH_eA%K_MDlbV>X?Xrrf4>%^x7^1qYi|x(6SykeC1Y*t^A{U@2;bN9c#s&Ef4o z^)@~X7-X|dqxA&$@EJ>S0c60F08U!IWOY$(br$k?XO(}2TR&DzO6Wl>A}OV^smF}V zpXu`UJu<2c@WQDqiKVjOB?IO+ADWQN=ryBLYLQ%zJ|TN)OhT|VGdfLiUj*p^9Z7X1 z-I&h1q)oYqZqH?Qw!G@Ed)NtX59ZH(4xp^3R`@2?s-H(fwO~JG{G4@#$e_?e_%k_+ zC4b!FYdzKRFO4Qm5_&zkaf(N#R20!)Zhvn0L}n+gZ@GWM5s&mKuVI3xnCn2?j)U?e2yufgFvdF_#n>$z%;`mJ1n1V^KEu z>7h0H`4Rg72^eNAu}x!0>%vWoxxeev!BQk!;(CTbJYt4|vi`@(Vlh*;6(;p)^dJ;% z9#Ag*Cxx{xm>3{xn|K0P?Gx%Kz)TNx2|%rgQ43S9S7LPG|Bja1ZKT97cQ~CC7g7zO zR_8H5e&nt6i!(KCxP_Y z93o{G3Bn&a;baz*sKgW6hO!mXSIZX0?k3)PlFdu^SWgQ0e=Z%wg=Nc}I*)Ptq%_GB zfMPMLe&$J8++Gxv)>1G-zX+)R!+dp-f1STEf{aUp^&~w;jR#8R8DU#vUlv zg4VABjj-WY!}9mj(A}vA)A>7OMKNY7;=igdj0eMq0wOqb%tB5d+h`8POMGC_H)*$) z8h?DZMfw>}IJIj!m1SLk;N8)%*LB3XJea-wdP#e-}GNn_#~H_;tIB# zaTXnFV$OZn!QsIL7qdL1`e_i?gY_7{w>_kwqZuET@7iBtkW(k?PLnz){Ihz1p5IC5 z*_(?}nzYz+9gF5RQJ%qyhovp0Ud7x5=kNqY9Lxf$%WrV!l88DE3)efrci zwp^vkPzmEXIn%N?nj2|PQjwhYKLwl^o)0<=Gg=g1E@QZ=9B+&wn&tYp=z~hhy<7JB zBWsmBA{>tV_iLcEgi9qWrYzjhpKoxG;th?}$8KdMlfdyuR@QF@&QE{_+OSDPog z%hH$w5Abu#_}hej>hSL4P`Y~GQU5aWq#Nm4_?T@`sW)Af+8NiCreM(;nng& z_DRMIk1?qB-iMz|0|6u}Wg@yS^oIC>AhGbcs;8U%j46fvM2Me zIs8^KwQ(`YDd+oZZQx2*q6AW{NDY@nm;kjkqwN&G6%)|snS9%JP}n9);Vu5EsX*BLXlYKm5Q1ytGkI_t|V*pEEioIuma>-bsyCH~m<@FbC{$hqLCTPBC z7iYy`Zbr`URkOTprT2`Lu6fAXsKB=^c@yCgO{r?SRc3XPxe4*xrIbzkwFE~FByjf; z;Cp~D%-U40lB(avhQbx3*~Np}`4LvNX_o)@;#^_i$|1r0huc&>OM2p;8A$Xb2~mcs zba$S~txuBkC_hYuwcoJe*IBpDMz%CFTOySc6&Ri9jANb`9UB|_+vY#}FRm=Y1tG$} zrCdYdhNVV+qJG3wmhiBh=qFLa@?KB{QBE1dDf=Hk72v;w&K{j1hg$u`#%7 zuk>HFAf@al-H60f-VERSo?P7$PEM3TYWHJY1wY~+vC?Xgt{_HubO@e-o@~=SOQAU< zz?_y*X&8Vy2s8caZ#MMx*ZD>v0HxSHH9bRV;4toO%QWE${sX>QiPjJGALUzeXT)%i zsoD=U%1XyG)PB>` znzR&vrD#1Cq7*^#pGO>Uu#x%s{P#CfE95UjiVW| z=d3#DFzUg16}_dn4jotMBj^R26@?WtV^T+h_A5gb|Ni%na<2JvPu5Cf@v{SIeKZYK zk0Wz7X+OtquRC7Q{v>D zymSe|t&lmCi@qT((CUsBO^BI@TJz7upL5;cd4s`mWhp5sod+;4es`UTgwc36IevjI zR1>|BV8RgEXdk1F+zG&<*5Fg{w#mCW))IrY_y`LIH9~W9irDV;Ggc zcKbn-f22!a{%#h^Sw1B)Elr5;f4ShWU6yT`R#6o2Ja_|ZO1l@m&r3B2RhKV&G0=dM zL6@)hZHAXRu~cf)h0}!&p6KG!qtg9|l)3+xCTIizT=5g?^cEa=EWj=WJnM@OU%T== zpNI`QeSF^FuP*x2-;4}Guh%hco$71pIWlOCsYZGfXWs+Z{{B+ZCsu{Y6jw}*t+sL&97IdnxGyo!<%pzifSCvU0ZCnNQRYXzKw{#RT+ zmo4cAVBW*t0O97n6m}aHWcESp)Y2l(#9^hTvbVgJ=|D1xbtA=Ays_E|dQC4*@I)I2xQKT4HY zR@7a!7dBmubiJQfE(m;$rCJ%xhY2izD^p%9D-;(iJQBZ6>mdCM~-^xmg*gLYE*N6s-Vo2gX1D*4k-)#oT7X* z!1FmQ8PYJvkURaLHexNNZYlFCCEB}N$MPHWKr!Uo_kn)W`A8pPk=75QXTk@5bdB7= z*w$H3UHpa&32k^uq|-)4;$AcKi#GqTUo^|tzj|Mlq-K1i965|a^3+CN=<8|sdeks9 zn@eUVArX<8@jK}a-^`enD~!|Ju=G5_2JQ%eFPA?W|KMBxC(c277|6!Ph7SKfJ?#7H z^$zU4Ss(+0uQW|Z;faIb{X0B5G!Tc}xkJ))wlcfgNdNTP%44#-QE$szf?dhW3(A(5 zxlu=nZagcQT;!qsj`Ud)_P1()%}N=ADpaf4uMhGk;x9|<;O zdGJU3;5V4c6lSD2oab?v&($=^^L48kK^UXVoP~@@SbiC*<;k%X%SD>)g@V2upA=in za;v_vcg}83Hq3S7m{iK}V@Qt3QY02vIw%n<{WvQnboRk$vuNhKMt)4|qF|$%VrevF z1}*Z0G==Ms%M13KQ1KCKc3KQqi(ElOlT8i2WX1c=yaplcT@jo)SC@poCW9q~$mScC zB@F@Z0on|Y0#`?)#1gjg!c97lCm@`sk4KH(e{D}n52!1u7Z!sjHm`q!YAr$#fC5r(I8g)NXS-fC;M*I~j3)27Yj*Ik{>K+dtP+5Yt>V(LX zi;`XC_d*tD2X(#T8>9vlD;T&(P|KPMHd#@NX*YksnvL`4Ep_(BHW}P<+IQ_S==DOdLaQL{vauG zJBsZW!%St0UMxM36v?0=f8{QJz0M$jcfI9Dd)8v~(kcVn--lIyD>2E*WUWxHu(DME zNGz$o(pLEbweG#4R7A1Q9YmufPjK+f3T0{>wT>CV$0%vu?LO-*%WXmGFRC8meS0&h zj*GLF=8u;!Z2|!Au-M6DJFRJGj7yx~`MY3$RfhJQ2S9tyOQZ^BsSs(GC|JGx&BcZh z#J7_0X#Ba>2Df8z|Drp6a*Zb5w0N{A>aFLb^4cGjha9^n-kCH$2$!U1E})4W=$P#^ z>{I`Rmh^m2`R0_49?{Z;jm)!!S~|=y@=wP>!~OS+Lmltm?nr9KGf}k`36FDY*A;~o zD4i(l{cZ6^P^Fr>moDCP5rZ_O>}s~ zyEp^bQvYO{XBM&9eD>kOm7tywe$$iH-umV$*9NGg!+83LNDs4RT1f~X?4BU5TW#S=ciY`7~;4l=vwFir_S={5Xs<1 ziD1iFbhhZd@Y#;vEaplujl$}5j^oUbP$*}}^C>FP6cj(xKj?ESd%#XmC{kFc_Y$&_ z1ZKCU#C`uLj@GXzP&AGBS3piz4sRu}f;!~?IxZv#EJHKTCW~V!oQmb@4VVd_Nz5iIX-Zqk)W-f^4$pJC zrAyVQ{#tdWtjc@qIY-aovn8>TdUy4M$KeE>j)_qg)#*iDC9bE00eNvLDjDpPTcpK+ zlp)ovVkagLGip#;X45Txcvu+u*J+oFKE%XZ_k+`qNxwmDX~q)1vJnsJ_3#?7R^=aa zD2Ip}&h4Y8D~T)hHQDf6;IDS{jM=msfh+IXZ@JiWIj3wgbKd zhy^I^inUVI6)bnWk_mU&$8e4)DN_5_e|g#;PAq^M?-T3L%ltj4i}cUm|EU$4KWOMz zQHy>X-@W0VX>YF{Wq@4E&yK%ZUI=h)F~>NTrwtaev^S$afkO9vMwl8-+*e&sY#xh!RLQpqT;1uSBAKGfa$t!F=%B&mIgy|K_6S{O4%n zbFIm;|NURnuP9g1JX$oe&X%uTt@6DbuT_(oaOPB+)RiKCjb6)IPJj7%P#|FdrHn+# z{=GiopLeA1IN1{}Q9ludkwOf5cc=aAjDshL^xHU?*2ibR=6UXUKCogE564DCtLwL_ zlNB`N(G@(sP6*@}kt~U!o_E1eon0;R-7>ATv$naWV2S(bI4?0vRN;ro5+CQquP*`;A){jf_^cKj_wrFLPF` zO02>Mc&K&92Flm36K}k}(BK~sh7m%%xKK$!%zT9r3V1vdP23p%1x}Y@Q+PzHAwL~u z=^(o096F#_vrl_LLH4}h8Z;Joyp7^&C##cuJ%xFw)dRQ{>6PMtWGmUXuf7&+&mbmrY>9=4^P!w*pHny9@C55kLX zQyM^^6mb=`r0LF29IYs~-y*UUx1{l9LlvgX+4AB(zzShPuy;Ey-ENfY8W&d^(-azl zcjEbd2+vvnv)}@9OHkW4ncAF>vNGn)$T?^f@|i;TJ%g!sP*b&qe))gQ_O2RX+^**h zvF~BQ_St_XMbGuy)j(FQMM-3~%s#uqZYS}-D@T0^TnHS>kUSMxn4@0M{HTxn7{r=a zM!%ti>qFO z7bg^0qCA-wB5vF6PS}N@Vm732WClIb3YZ*L zl~*0Is0({bV$Y%z_Lkv^ejHPlf!~H{TJb_nrI~_!jz2noGG_leMEb7Z!s+CeDgvxh zpCVc1Ic@j!R{;RWV6>MH&%70`H)jE0`Pu2P?)4J0g(;W0g z1b?sjVR_N zDY_&JYC0wPuicag5tn|Vq11dB8CyDu;ph$$p9 z^O+g$Z3u9jR_0mtSCZ3HZ4I6>cN_9@w3*6mV6C#33a8N!_ogT>Tvx>Uk0Rkpqv18J z|3yeia5m43Zpu9LFp36wD8-JE(XkhATzV4|*agDpDdPvQ=Cssf|N*>*xI-&&wOKMLUnvqle%+Gn3fce;2Br=d_(r zyCa8@-qYNQ4?xkv3-hkEQWl(W_I+)GjAUaeJ2&A}~H7 z1oP?T9QOvL#uy|01|RA!BNf9$EO%Rgmq4sW7L(ZIh2osG8^od@V*;HrOVi8>+cx?f zO|I+w(r3$Q)3g-WKogkP!7bjA&iCWE!cPYSmD=w`3ueBoy3TiKo~p?jfTlGGmNaKP z9cL_nX{pP!y2+CClH3;703vA`UxtjHX4^^RuaFq6>G?|sVJQV*b?QgJA?cP-oysdUr-U8A~z9vGTmim3t z@f9Q>`i)8;rMWF@H`Fn&eAzAGYF-@i(n-n0y93N@FFcDI^jt2zOn)3Qtt=$nu$W{k z{^#$EzsSlVvN?L(xOn@zelxwsJ5S0s{%^f|oJ0WYH{{X2wy@vA#hk25Hi!Oj_ zLtx0*>Zs;BgY`kv)FyuhgO1DljNv8Ax+7tw%Q*k#@on>;^d=D0%>)?D2#yH|sQ!^R z()9Du==3=krC#S+`CJ|27zq=;Hld)LRX5}L_6D4&Z-m<`BZ-Y@{`l#4j# zeov%Xw1h8&;04JiW7@U5VILtK%kY^%9XL3&RXP^t->GJ~Yq3qu>yGxakL%Fk6P_?~ zWX&H_^C34m^3FyzN~J0lMT>%wCor3?Qx2rQsa>09y6r3vPV?C_RO_53KRy|BXp-nM zY&3rYYr_{zu8M{hLv%37l=o(OjI$;%6E!%9pUwy$25KT20kV+uSdknT&>Ym*)~rTR z$o%JGAdmu6c?Ne0nI*K})Tn(h!GnQdG#MgnM=wMQK!MGWlR@eXWSOQbADH{nQ<-!z zr~-8sKfM2yh5)*w7Va+8Hm|ueGo{KFJy~Y#l{$L|T~_rAqbMn_oL_q~txsc z$`nrA4$0mTM+ylTJ33d==7ZeE&+4Fo^EvR^c`mmx;iWF&Ur^J@yk8E?u)B`YMZR9T zNX-1ewhm-!^e94l8p9D6Hl)t765QLmX(ZypG#;^)Cp&V{o<)2*X zYoQNET*{J|1LZr6WYlET$TH$H=9gu%lG_LwN?85zw3zyQ=n@%1&hyd9#^|zf!Uc1O z?oReKiKGm9y}G*z<`Uew;HH{Xs@(VaOwd`uWGL#bJ2**;)IBN;hGBnk^*fH)I{cl~ zCtK?@mg3|BBP^VH`^_du@h|w$6dy<+pT+A1`#Pnz$n&S;MFy#I>Dq)b{K8x^9JMx0 zrDnH4zvL)Px^TM2>QiTUWp~3B)D(wui7NNV(I%~=Y{~Hmv79y6$M0|b2{oZrp|wOc z$sS&NY}IR(dPFC+sub5LQT}!*;Ai=MK|}sfB4f(g_Th*OS$ei6U!sh9xV}D>@nR#>yh1>jXC9 z-F8kTMthiAss?V^j_aId!+uCo{J5aD6M5)$(oJU>0_Ra|W$>9*sG27HStm-M1Q7fS z?rP_?@0Pz#^_HCO?olpxji!bP-P({$(4-}$6$jiX=#**_=Suzi zFo_`B+8{(8?b93Ji_>;1QpjThRd$!K`yj`Ck#*$7ANpvY35WTNFPl@Ut=KoH%;j&9 zgMR<4=)=M@{rRT=juu9{J21jX?i%(kjBJuvvWu#_T69c}h#{BDv#syU=f!uq6-%7l1$+h{xnJjUP2XDUvv1JR zoe+DLXp)W3PQ1D@l@1)7<)FWvbup0LtKLusrdBj`Np>r#;5cH{cfy^Ps8qY!DuSpF zeC*lPY!)B2%hwu7A20o5heW<%f` z%YcbxY2jwRZKLhn>1PqWYIVBh>h5pB1ux#D@o^oVlvLId{%J3)bUwY=Zxza>olpBpg(dUG*YNfW4Q%)!LN~9%|ohOyf7D60o`78rK#kN!yykd9ZE# z#*b?|`L9%_?-ODPtl9(&B2%JI?;W=ltABdmZnz)ZcKz!hbQBvCE-aBy3H$Z#H6+s_ z4juEYfL8ZOIj=7)QNOiC-nff>2bBD*L(sGtI3eOK-5 zP^mn%)(@KTadF!5>Q%~uyKY)Py>jDnHid3(WW>$EM+kWX?+hddv*t65yB3TciYfe^ z=4m9a5EgE2Nx(+T=cY|tAnJO3q^wcfR<6H0`+RB| z3h^xTV$PSV!fZ-JUz>-N=ZLsksO`<#*Lm9(RtsIrt`;VI-Fm;+`DRZj-5vxgW72~Z zgxr{*SZCJX|4g#0_5J$c8`un*VxpU}VicEx!k^+-%Q+Vcf9ICZ8plQ)n)>crHfur$ z2kW`LvQrxAjGXGFA+7MJ${4gHvZ!cK+7yUYoDFr)jf%Xu+8+|I>PIJ|Zm4J&ihjUT(&x5cVe}4;xj8ym@ue84#Saf19{8 zup!yL-GUQ7t_kc+7MArd-F$|B`5-K7)ydAtp;u#W$YcHhdO_Z;8c48M91Ai1rqTK# zWPd>P+0_3IW*;8c6MBDk=f6aeq0yWvt#7v3DE73&b4w>iOazh07S0)V+eV?k@P6!( zhZ$!$$~Kb`_$AZ0%Z_gtL8tt_tN7h+Nya!xh;zADZ6%3xB`eCk#9p;-B05IDN88a$ zdx_cfGw&-&{l5~v0^uA^J&0Gj8&$B+7-myRI1|Gb-FmC5@DtL7mf5PWhNiC7RJ8C) zlg%b()A17`$We3_dR#=@i%a1xMz?OwCrL~hv=~aL?^-gEUVk#uvg@jft!+yv^NFW! zN{QoaZ-0CG^#|yuxm9a}DLl@QhJ!<$<@uaUXplnv#S1@yH{7+VfJiG#IN7`V^ID#-S_S1-)XmhJXvmY?kiizY-VJUryH;jXj zr!3xF)vJ#zQHUVdE56x}1=?!`lp zk?p!2i~U-|tsIMC!4xbXsXhrH51cm)ca>GNVEHgC%(AZc7V4_s_`w>e@rQ*yG4AEl z&^Hwkx{S0+$;3o9v>bk0$bm4ulPWi(3Al4<5iP~D2D z2q^6A6=={w*fKEG281kRY8du_RmzHe--kGHTh;4){qj#IE<&A2eGzO?7v%TDV-TBv zMb9w)_dzhmyTW%hZ`PQ}th@@@;zYl`YiZ+*d(^?>v%DM$QKQnjWlgY2ednfgkUV-( zs3y4uJtosJwI3cI!(F*inOjdux_)r+`ZuReA-NnsYQffKsFi7};#6Mnbn$~+&@=(r zt%4@)tW<{Dj$}XmRloB~kO9yU*jRHTRPOx3E;_zhHLQiRmv8nWqMmN8+CGiu<3DodG}fI$67|&f?~EC% zW&#c8_R&m;o_fwnL)o9#h|BUau2Cz(95k?wQc3NfrRWs*qkWm-G zNqvTli197`mo@(D$8$?|X2XKM*jRU%eCF8y`cX?-f=eHnmLt>?gj>bZVKjgtA+($4CPpu^E93fIGanRym-q0_CZ3OdI-uH!z@ofgY{XAwGg zQ=|%O(%fa{2*VGG#{gqMF=(YWDDhfct}1^kJPiH21qm0NxdRh`^UmfsN1CPyqD$wh zvLq2?Dm!H1j7*?~rpij}G;F`}bzI6+*jMXa)Ka5;G zI&suW|Eg@;rex)=%JwKfnDu4kE~ik91~S^O&5J!$q zWa=Sf1*HSk9K-9^T7XOR$i))g7$64?XbrX8>M`-Eyo7dc57NVEfM-**GOsnWCVlgr zQnLgJb}NCW^sO}q|Dv+R3GvPUuoGL9cUN<1ZbWH{o$$Kf;=djx*xDu`2auOc!c zNIyJ3&3%2-+B4)1CZx=J5Kj=An)T@7yf+HI|LYDAPX0|{3Ez)+8mS?A1wS54MkzJR zzofC=DO9m`F(jF!r&}i)0L?}nJ9u$N~s zXJZb%an>X04~)OUUC~ZSc-p)D>66CEAMlhKdq*G-cLq}s!8;KDxE5tY;b_vgi-E&V9LIlDze{_e zFDKW3h_WFq{rIYU4O`x?eQK-`kf5(lWyO8J`B*iQv-fD_Q=7Y?UCT%~hz68uC3iDi z)1JmtGE?Lvy%YYN{gk%$FS-x0Xnn6^3|gg$c))Rpb-L(bo2n~$L%O+Xj_^o}QBVdE zj?l2sEP4%^rc_H^4@y5M(Yf+tD<>fP7_T!^{N>ggbzJ(f(wN7*52cskUq&nIkjDIl zn7K2aq|<-#d;$SKTv1@z@fk*!VCH?ky^OxcLKFkn3x$QZ1dVZmt^$01y9Wb-n1TEH z_?Us{C;1rWdtP~HP!`M#@&HL6TLJ9dodShF#GKRxMqh+o#8v*_h1BL-G$<(Xu_chAjjT3>$hnr?4$z#N~#p5oo=Rz>l@flv` zd@+yP;&EBXKEYDBM@ZNga5$gL*QA*u`sGv1oKjKG!VulY<%-7R%NJN5GG>3(9tS~( zi6)$WixyS8j(rmgwzp8!O4Bo}9MPxvK5KJB6l|KcoTCS_E7_PJbeCWK4amAr|ifPL3K9EFW!~?j0Tou3*Y*+V4~x$+^1#BKkM{K z+{^>2r{7qx_<68CpD~Ljj6FZd=v<9u(SaGD zx)*ZQ(9OO0^BBJ{uU_cDymL!wy5K`Xh_fqQo`I4T)IzI7H&3BP5|6uji_vUOe_E9A;Q_nEs0ZP zmR@T?faocV>feqz>n{@ZA{pab>7*BxSJ^ghbDkm81d32FEb?e7D+z~;vmW=&Fut~2 z&2;Z7ZtoWcul=t`Tiw@s-}sosPmxtbQW_&Tagaj!DL50s<#C5|2FgV)r29D3$q&7s zas3GpLUg~wLjR;_MFyuOA(?mH?M5mHJk;%HP`JZlJIl(Z&ae?WqeQ#W&Ou)S9RpwG zQ!QD93y%LcM5nW-Oo)SEUdXi4!-1iA1ZI-LNaUWARQZhO#hAYl`%E|@mm%;Ay&ubl z64`}REB&1!?j{Y4`+guGDXZO5x>Xt~qc(GIzNzXv!^$w9WEA%Sl4F(Tt`I~Rk%eL& zO7c)AN6sQ6+_H55nBc$d`nRTeP`CA+A<{*pyOi(4SD;P8?2~I<7y|T<DR{J z6$w^V6N2*;T6qdwK7Uqb9!jb=vxfDy>HjzboJI{m^9)sX?kXt_8_~zz3vzSD0UF zOdg9S&RwsyLQ2r6NgWmX4SI}Tip!T7L#+$G^czLvViADe(*GO(u<}Xf4eeVHxCQzZ z7^+6A;=lzKoh)p$P_+Qz$02{OlA15=SGSQZGw6DUr)YFo*fM4ECJ%kp^IwBFYHw?` zA_`E|@OU(9f^x}XDcEFTM9`I5a9V0>Cq*N}X4!udWu~7`y}Y)X#zGr8j2@Gv&@NY0 zrcs(bH!g0<6h)l4_a&USu;qCN|2vec>u+tvmR2V$#gPDj*AmeXj8`2D^>wD;(O1s;wa3lCM8=? z!*J(0;@RRg6COho#@N5dLc{W?aJ&?u0i{L9>HOLlQ&5E1_@pfE z9%B=oKoWh&x1-nw!@LdJ8T_c~e06Ek;-w+FW>@EY^iZDud>Whn_pUu%(o_AbDnZS0 zA0eS^ke)$;Nn!Hm9iC6s(MA?xHIBSxNi^-f3Wv6OD>d;Y1_jd?@rjtPhOdJ1>kbDqFULfHTlstA|TSa zhT-dnzOPk;MQ+w}+I`Q4_~C+*h4%+T;PQ2)SN#N3mbkqtPf!PxlOy^fqG#Q%Bfckr zf>$z8ybXteh^^D;S3k|0Q!$h(+aqF3MD%(1m!7323H1oyipXUtZK-=NK9{3Bqz7A> z6X6qnoi1N1JmyEnd0WFc0>ZF86n)uS0qDN0*5dWV=2Q&2CNKplQ#R{1$s&)mW+%gB z%Qt{pTdu!wXn(vJocL$I&if$cV^(~TsRW(qt@_x$z=CbzsDNJ%txPjLOadkgLlsSa~os?t0n&AxC7hJ@$fTWN|r zj(ZMk%m(vQCVt5$4v6GK&XiU}cri?^blf8h6J?>iV9+nS5cAt* z_JvR@E^D+BN$#5ep|Z6A3r#vry}82P_z$stk&n^qR0RZ0Kz7h~0;KwMz(rsDb2+<}f%#pjRKs!6Gn?32l zkfUAv!?{MIr)aiDv3nKE$vC{KZd@$=V7(gRtvfZgbDfm5f92j4!+RnEF>ZOAq-mCv zcA_Bn@@>e-EbiN;Ro9+%Q>566N`rya3icYRuqUbm1b40^Pb8AUx zmPp?WCbm*|Yp4NH`)dJyJeoC@AyY|4%??+oZ>L#_8Nbw(k;-;;niN=Emqr9!X z1p!)iXu2!N8tQi$I0>Hi%%#qt>YrLO<(K~W?_`EtkJl>_~-LZ14`#_mxq%7?mY}b#- zGrx@e(+g#pJ>kK-8sOcV$c)z%IFsk4jr3VwNeA)sK&f1DpGLQpzkb z$=#`SiM)=T);V}_|EGy%f9d;GCcxY=`%mkyfMOKoTK3CMY);sv4iz;`omF=v!rn#g zr>@o4ufV?XH=PssGQ4zfaUtsbX}9uT5Vv0CXR>z5)|hg_agpFcM@-!6M0<-W+czJh zjWw_D{5IP9^c&+M8o~U#Uj-X*Hx`HjUA~s4f!(U88R-+4wN;8D8#zB;Kuij(8CSka zlS4Hpu+vb!2$hqB!h{(PT(>PAY%_7mm&bdCTSthd?nnM1 zBHI7l#587tuo+(l_ytIWRn7?$<48NWi4VJ_Kt$BLuG1j^yK#s~61M$cb~)A@_srDD zoaXljZQ}Cb;i)$#-Goo_fK(?W4iZMp-JVSVA>e9H-q^Oij2`dX4n7)SG0rUL%e@Nl zk$o6J6)i!%IJ8C4XcdomPo?M4BHL^(5?QeJRY}l6bDnGe%`PJN?uU%Hboaj%hDhAgzr!C>JEQ}kuw3dAfTTjz^MF#fJ!na$BkcL zkhD};z7=Ci<2@P}<9P7pi1o{pp%aely%XQ{wek~>;K}TXT0cR0INc#&il--DWT8c* zC~3a_@f8#|zaHwNVp9$r_`4T5c&C_*g}>;Um5VvR%HHIJ#>( z^fqa1^Zeh_!n%PX0$LMZOXYLJ$xYJBxd)(CTUEG2%HW${lolDI<$|&xID$GZuAS#(p)!$Pb2T^0O$_p|%XnD4Wa%1MN)ZmgE(~YnC`O@kvf5|bJ6L=RX zpVmkrVB4HlH$hn)#M_dR^g!L=$6_;Q7>rBvF#e%-k&+Z_9j-UM7Z9C;uzYG1gE!SE zfclrbN(p--auP21sXmLd4_Z+PNWZ7Y9eJ=%MIZIANp09K#Y$N;#n&*0PYKfx>F8R> z#M!*_FI<_Ow8qko3%4>-X=buaGnKAV*qiGOjjvwf26Ag!sv@B+#Wb0U#K;ZV~1=-Wr}P?+bvs z<`G+g4glkmdt3~H%si^}pZPD>v158LfOG)7l{Hh?w@e(-b3Y(x*HHG%cnL|TAo2OL z@4uV&_J4NN9so5KF$F|fg?*3(mP&dtAEYggJeCV){wbN{=S1 z+2SlQL@&drpZ~C-qk1y!cSM9+TBD}%aAO-QVG-bl3w6*~W~!u--9P5BG?ig5s5Rx@ zFIco!ualYE{z*57^GE4aq7`#R-m*hB()COFX%P0sA&7%Kr@*3t;|b$BIMj2wFiHol%~eE@*j-n51INwRiy?q`?AG`^vWt6Ed9 zA2$YQ5Oo%433(!bPETMs)zxB1Ygj_D*h98#F@s2_*Zo z*oLA~cx;Ph)>CPc0*YhP<{YAYr1@=>dNvUp8^DYTIQkfEah-RIb8J)OJ?Lx}Oe^0# zny|+3n>Y8o2)tB^AMf6Yq$_f3Id+I%w><~m)tJG>(1U`X;X%elQ1r^GkBT=bwoovO zMmn^r^I>%MMNF6<&Q3_R0rC)eUpY(W|LKQ&-BjP0ej+u=4-9aXg;Bk*{Q;AfxiT(f zd`%$PK7ZG7Maie+ViT%rdi;Z~Sj-_WOfd$sY29v07^WC>wI0d6J$=v19rWiW1h~uS z+cO^xw$z{QZ1REt&)DJr93t+cM*q(N4ByJaariqZlsO-K=bpnUi zKV87zLqWZv9l0SqahN;%hk*AN)(o>6>+c);u9(6G9=&-Eawp0c5uZA^p78Am5 zF8Ns-x&~7d`L;nuGOZkOF_5ALq_kkrg>HlvAl^kh@y@REuoeuY$Lpduh~>mU>`Oo8 zuR-Sllh6KA=#pP>6wx>FMiak#hb^dC@#(T?oaw@n@PhWVyM7<8e}1o(0Ddd}16wP; z*Y;Ng*)`iz(uVUSV)uR67UI*eILo~VTE|$Fww_F}O$#KnGWyy5Y+cy%yyMp1kaf}C zq5UG{?>2_ym-F}7H2}5V^gnkl0?rJ~UP`m}VIT_$!o5#-s?TkMcszaqykNo6s2(gl zO79{0E6Rc*CbPeT=Bybu=!iQypf*jH3{x+Oet6}?*=+9!k7n1+-8L>AV*rK@U`hDn z$-PmdaPKh}7odR4im8$md3$xc$F)e9h7sesMs6toyGex&05M~*`(?bGP+%Cxdc*wS zD^yDm=uJG?IBku{vSWd+g`NYB@LIAzE_wA=3*HdRICQXs^>Jd-{YvimM52|niGjTe zY;^+@=kc^mT101^a`E_@)*XZ%xkg;0%dTH~6vFwvr-aicF*)Y3&N>ZC+ zS1nY1Kb^l+Mf?*AwdM&!d^&%BoE(-Z22v7`mUda;Ms$$Zvq zv!6rP(y7BGxope{c+f4U`fnIb^O(7A3;LfU3zavbn#%h( zv|=N~kLbj=vMsj>`GMyp?zHcEFPJ0Innof(Be>b`z%K}nhYxDf?!AH_2Cph@^0Me* zi}^`#@^-o;PLo&wwo1l>UC7o`i+kzd(Ms5hoE1;OBFM#FA1CsN;h8!XCf2Tn1K<+Z zJG%~Pea|C#j2~EKTvEr0TAQ{nafZok75*mSUCP?@d%2~>xaRp0oV+AT@R1GDQiLQZ z9c?H#-oM!XJvlIi)P)iB>=(#dV4wJBXe*=Mwm^*+Y}wLhDA)f3@B)s?5iZ;VggnVN zCZ4~?V3qG+wGYy*2>{Y9_-zWf?QUmdX=MB5%aII!TVEWe@l@v^L&U}PnntW~Pc}Qn znLj$Hjbx-fRBp^fx~Ijqr8Vb5@NP3lwN#xYz&dMMI00apt#GiXt*(w!>cY_(+*iM` zBoC!XB{or--u4y{_WP1W0Nx9!Rz`j`=4q^A@dDo^S8W#o9F;VUc6pE>oc!W&3r$V7 z!dAaoq5Ifd&~&jACl{48lm6`+q^t@+=G3kLA4-_V_^C98jOH%+r`ifEjx(L(@425+7is+FiOQ{=_ z4?^@jc+ZC)EfvkhnkfkcJr?u+?S`}48{L`wB@aTZO|@or@N&6B){`DjL^_}U{A~XR z=Q?=n1{eh~ygqK^;TuW=$oXz{a$JCdy1}`VGcGvwl%mZ6-t5Ggt2mt#we$O|gQvyM zP6o0?8F!M=u8fn5i~QSE*7^3D`7h2y|1R#^#*pY30tF^&9Kb#ABZIr@c}EFifq5hL z3p$e7P{r@sXrtCVR(Qh!*-5OKm+M+BJIuoY-eukq@)-wMniqyYMp_+G&DjU43+Lbj z5Ov*<8i)mT)8Hf)!#XC;=Sse<_+4XdY<-m4Md|~7%rC1~bvUtIU2j?pP3Cf~h(>_d zDo3{27TK=3<6`XS;0_+T_7Gtd*3udJ95@-#8IXy69I}06%!MG=B)$+`30Y&U^meHN zNoRkz7zyb-*~zXmHvt4@GEYM$z~utt zfoX;n;cHdToiFuy)6XW0L_k6{&fw)PxE=UURPXFLqQ0WYyQfFC{f{Pd{aBv0$Q zAx7jt2$E*p@OputRZ>78+`j+Z+v@geyv3nPtUM8%L8ti~iJZZc=%djZELs=+8s>8x zU&19N9z$!^_rt3<_19#Q*|%oW#gwL^X*VoFiMc8f7A*VtA3k?$#Fy|c&;MW2pGN!N zo=NIsh)+jHX*3` z(+v8LdG*^@>PqUd*#7#bF}a3?(Aj-X(3@=H*!T%E{K~ipHmEdF@bMx0v>~7u-^$k0 zFjUxZo~ne|6mA){b?`pbPUYCIZ(W+<>_7^7~iC*dIP2WKe%q84QaycFtV!0bHz^IEP(SrI3^ zGq3MSYfJ&31YGC>lyHiOhGwVDExzg)h!A2-Gitwh>yN|r2jG3rhI@vpJ=5jG;sKZ? zkAqI_9&udYTDsF6aQB1Q@U2%7-0c_W;iHVC=;{C0vHSWOXgpoCgX0~a=M%2K0<%3u z#tnfGz`wPe1fgeorZ;q;0X9Bc8nkRQjR{tGi0ZxzLwW^z`zc{yGGD)5y0<0~lu!7s zs+YemU=D8I3xy1Br@gDMj@{GmtJ{#}ecj`ehg!bQ-tn-d01jB%6SJ%2!R3pD@qIGe z!u?#)sB^?UDIr7r7A{9?lYs@AZC?m{e#U%!FS8)~SHnJD9ssW_uW-0D&B z8TN-@&LB6C-=zP02ZVt{pNdEe&0(uVA_V4kssgkKS*h7sZ4ERbufjBwjqVUrAKXoHsCzKj^}rgGh$sG zI56g%XPaa-Zoq#L1<(-*?Si9!XxSYWY_bneoa7suq$jQ|gkP5ioP^Nz$v5@=8cVeV zluW;HO3=gm6_AcYUJ9>e(_b{56|ZXyH~WyhRy&`1@n1M>qk+F)o-T2jK$?n*7sZyg zATg{73EtN*DsNO((dlkT*~X0Uox39xFs)`SdHY=!cz^(=6O-#2Urs>=H~K4}L;8`k zm6MnI*qi`DO#o57Y|Bw94mH1)$*lHx+&K5Mk=d-amR)8?@+WibpbjLuHZsnXS6m0! zZl@biUz3>lYxEW zxFmbCHgytQRT~&}E!3CJ+E={uwZ*X0GD!iIlZ7pemQIA6asJh{2P#|Uv}V0 z7q$64wHkN&7#*N1DQWYd}fOnUCYVQ^QwNl3by9 z)G8K{Vfx}gF@SUziR*-7i_$YVcHD(J?PPwe0NkrHF*8n4Dn}%}WB3;(b^B?Pm=tKU zQDX0D=W%U^3h+t`WIkZ8yH*J|UpDpr&rna6G4$qizvN<^x z?ekFcDarVwmjlA`*9L)QIj!m7=JLj_JG2fqETdb3&pB7{fS=8KKIgr;imFxT3HE3! z2tZpeec{w!J&+1n(5u}$j%@_u>(TQY@{`Vw3cQ-=5Z=NgQ-b;2W`aw9PdQT`Tprj( zqa`c}i~9J2K$b=><#ZK1zJdtn=(|V5`>cnW$`CR?3ydAbX3CS|n>F@yGf4 z%_%^%o6$oz19ZuCwGcZM5(cDO*ZNlI;eO+6z$Hoi8k?pmpc^Kdq9AvTubBCL9Y{pI z?A<%2h%xy!G5jpsX7#vfJLgTX6w0mO7=UX+!a(>J^5z|z*V}t3MS1<4!n^|#pxc*X+|oN)G+jIdI>2nwDj z;SBtV&u4mWinrs0+0~VWqElCb$fd0ptXhvT`#14;2})R7I{Ob8Zxr~i5(JLEsMPAd zF3sDGIEI3>OMRX;le`*dQIicOo3Cx-s}nQz`WRK*<_F)*{o0Imda{^E&q=M$td$cX zB>9d-oC9tAti`X+nINwbK|hU@3Ug1kGsMc}`_R!VK5MLbN6KOnN9lfnlO#)&H*ggR zGIcFO|H`l(F1e_YS>XyT+8XtqsISpzE7p|Sm6qY@ISo992OBd_?=y^rcxnyY-XEWacc7Y$^@hY=qu zr7Q16Ae|}QZw#7ZFn+R5x6G*jS0^LqgyDs0_+7(35I5=c30XJL{e8a#N^lM*=L9O) z1k9}9GqzFx|oE&J>EJB<`TK(AmHizWq>OQ{s_@*~$F@SEvr zje4M~2upi;6&XEsR77)+7Nn69o!~!o73I-Pcj|$$g2h`9KSA_-*A^#G5pP?F`wGym z13404g8zQa1Y?uTHyZ*e zZM-)$J+v8Po=8nZVoZ&(6;Y5a*VTTlQQ+7Gi5+@~a#54#hd1ww=|R$`kVkYrxPj|} zl-J()XDEYs_pC3NPZLKe9eyqUKepZ~D$4Ku1C<5=0g>*I?id85JC%}@4iOk?=#mtb zZloKOM!G|~QECY3?(Vbs{{CmJb8#-Xa4j#Gmp%J^o=>uw@B>&+x@)rQQO9&{)Wjxs zKagkv#B(5>^wK=9q&2fD3vCH;I15ce{ObDeX4xihjwG80cwL$aSu@$j93BsF!coy% zwy3UT-Y}No;oWr^`<;^`i2pDl_|1vPwT>$g1tC9)k?IXv#ZDu%tXFLcS1hO|gt>Od zb(XiY!wY%0zafMexxIQLr*!9@R&QZCjS*WAmFjY2L(LZGJ9z?n_dw$Lk5u;um_C@+ zQd0#T6*w|lXfB{bkH&TIqVH|{r5;*abQ`0*`ZM`C^pip^r6?f`-FF!8B2$928xu%# z4Ws&&W8#iyqPgn5m7cEUzv%fMLpEh!`y~LF#K)7E6@27$w;TJ_;rh|DW@hRlTpWLU zdMvgu;sfz3Vd%-;|D5&@gV;p#oTMW&l18n1@>-mgx8W?LP~A?>*=Ggpy_IXBJR)hf z{ZWbQ<_aGh`C9Hs7yP9^dNJf?EzMlpy}Uc`{p5hezRbRstER?mbE{Sx7CQaMxGIP- zazA#Zj4GkP$g`t(9w1{XEVH$lo!JjT*R0pr;OAojCErs*=%&f4f74u(hsJQKpcy?J z1OfrTYbuEabITQk8K$WBhw(zxs55|Fkr+8U4^HWKg#HdWu}%X; z<((Z)Up>~K*fk`8@?Mi&*qjbww>K>KlUSzl&+^Y7jI%(lQFkAjUl__U6$?31mMTa> zR@=`V-7f=a=i2^%*FEXiVILmvU8P!EuJoUM(Z|^Mw|8v;B_}m-^sEK{jsuQ-?a#TYyw676AFFAPUvazcUw@~B*l{Wjj#Zzu51Wunpn*2qTrJthxnMID|sqFwob)iVy5gwVV0q;;(c?ze|&tAMbL z2Kw8lzXRfW6pyE~-X9-lkjK~hp2d(0wHPVxhLLZU<3fvnhZ`b~`Xs4;<>-nL%8`_< zPnT=q`e97MSUe|swTchVi(}3=FmoHvxIZm82I8T&>F&!I6H_#Vax~z969qpM%HQcD z-gmf4UGkW{L{XDM`~3~u`B|2%9Ez?KV{k^q*OM&%xWEnLC69y~ynU3M`{l+W9*>iG zJrVmmR3ywUV(Y9XpLxhO-l5VniqbM&@t&R4!YL$^w;RyD&Alf;XA4)kG-%y+w9aC% zQZ;~7?hRb14%EkLuPu};&Bk-mnto^(9=L(ae{r5v-JWQKf5~U*WSXsOMkLdQu#&!c z7ow7&$u7k%+5~ye9=N)3!d?`&!*E&EWnRI;n%LZzO&)kZLMC>>L%$a%Sn?c1BGddz^_^zS z_NNRpn$c<~Z=?{M;5_eCZLqd^1NW4y<7YS-|31pqQvv-c@6+R+VrynsGn?*6H$%!x zV69xm%iLuk^CR+&!dV|lYn7zCLfRQH z%5GN+Z%>VySw@;}b8Qzz*n>@5RFoxZvIdq-sh3gdHl;TuH*@B(WJ3rxKWY;2RS+4@Q)U75nn6C_4m-4cR49n>nf5xe@1`5}V#%JBd*EI(my*hc;Du^nqxrF&WcbleZk< z#&Z-F@NOkAreH*`{qeC@r?KQ@eh{&k!rq3x!tjMKW<*C+ru85{j4hBnRF;JfWp|Ep zw#h`Er993CJ%!npmAzLdi{a{kJ+wyjuwILeFHgO6tCq}sU+84Oii{A7BJV_y|4}tB zg;zO#D5j*PImWj1$x)4)zS$nRL+<5r>OxkMjGmG4)|X zBi{%foRr3!PFL|)s;PLNjhv_MJ{>ltxs%HiQ%z0IZkheP-nF8-?C%HbCx><_3zWlRS33+!dqi?YX5GdP;_Ee)@kyzAG2ew62X)+{vHUp z!2j`&+6ScK-KfCBB*w!@>!wMS+ysMd1O1erxi&-fxg{D7dFYas zt~rrxP|}c{hcFT&5SGIuMueNyxeM&atn48@1Aa4$NHbGhteOWbw~3elm>CD+s-eFxvchp)rV}dECyH zfc?TR?B~;5OF5CEJpSfhJ0-QNf3=PH2WswaE-nnvKr|v#4fz(TE}{vN|G1qZb*9k?ya0>*jjfX&-f*baT5EcPA!e4zlNJc;scB6+PW5*Ga*wK`Wy3-Xwhpp_w! z)4iDW}Xf__ebu~tFPEPpLesA-&hZ4qpHx#l?gDq1pQQceF^H0(yShG#2bis7w} zq~7|7_7&3`PD^C{5xWX&$A2T*DK#|x)c+x#)h3Iv!fXF3?rKars>�%*rTZj*7l+ zv2D_9N6UhP-hHnZo+${Dt0c8r991 zbX0F_2@^x9cz)opxFj=_Tf_AsOWi6)b)}RQkz}|2st_NZ-2UL`VE!V_@;#k)PF^n6VT(tA6-z zL7Q!h8wVlitdDb6HFLgvx(kC=t@xDqi1aJjNb!urq35IA22^^H&xFx4^$}oAAgx%n zuVHWGtf*Zn_6(U2hq3~`#<1QCiZM_JXd93BMI8*JRL=C!j38PayuBvEFM!6kI>q#q+JSUuXkdCct3=d3E&YuJYj!nmj8C z4HWi_e#0n}C|)LRwe{zV&{>uVsu0N)^&28i!#MkvtL|P1+uZ0wFOD?Xgkpy8wY7dv z_{)^n897lsAiUlJd^1;8!}aN+@1mI6UAnzrSp`jl+K^| zt)}+>wzuyE+k>qNpbbNJE3`o51k>r?B6E#kHn#bHC3?RTSO#YkwQ%>Q`f;x3s%ZMb^6i%?ZnsC z$)tpxGwXUdd8}?cicUIB`@0&Lvv^chmZS&d=mK#!&Y)o`>i7;ewTkeGBG>tE!|Efz zICUUM09O&BrOn2M^DXUJt>)FHCj^d&GDK1=unS)dCHeZlS_*-#q9SfeY)V790_xg( z%IW^(3}=XO7O1B2bcDa=VGYkqrk)ZP0LR1r-S}@(3#^zxnog zV{Lz<^BVik#vjKO3!3XM@#%ClL7pmqq|t517-Zn4t$5NH#d&I>4b{ukyKS@>G{U3+ z@b&BV{y;PylsVWvZfKs^*H02dt0lf+VbM23okO29UIiPBSoSHCV@7^`0gtMjFF*XYK+W2M;(^)=tW z5AeSD?Qyj~fXU-!zi`|wi$SEi5QS-El$dvQUv>nVJ@PW|WMYd{dXrdun0)ivbtocp z^YlNh*PYK4ALK&`lZb!*=qNXaCNQmkuPkYzhAUz6yjO&15p!a-l%@4?ey@frFSTF4 zi@ka|lfU68@U`CZHyeDPk73o)Y&<{F^bBGfngG3~sFVTU5S^yAgTdr~k)hK+KAFQ$ zR>O9Eol-Qr@ppa|+2J40?Z~ax3#7+3ga?7_8 z*@C0L7J2M^JGk#*Wbum=7TAZ^hxj^h3~Q-;N79>nMQb|nN!#e=nZEu9r$IK3@+M+r zAjRYIlxZ*#?hbkS+d#_o-TG?9BU~^CXHNTxU~bH;ok+{NRWPmJ#QEmMK`*6?z|-Pc zjz6^nf3L%$?X==ebf!x2qhS*e(ns+e`J4Yy-GtmB@mhdJv8$o!e9|0OysxgC^|I)GS{53h?T zFjM)viJ^Z3$EI&pFYN=VaNR6gcZW~~ni0+`1*&v{b4^P-AAvcOuF{TFa;Amo_rJp< zaRhc^or+rKi|0b{sx2jc3}p}g9dPoo?hkU-rHz5&{5RYzwf{NCn5nSRJAYmAKHb-@ z6=Oni%uzB2@syZx-at;0$h7}u7g-3p{D$*oJ2fmlUfj@N(F}x1)q?P$YBv@OYf6Zs z`*u;m>fur+!{(>Xgvij)Gl2Pv42ptE34NdfRELpsr1--+v53dR`3G>W zR(%;BN=y%0d#w}Ag`fW5>poVe8d1uLaTK#~EPV011Nz||840#Xl&x*y=z=EA%f-oW zl3CU%EalN1I(e3>`l12KZR)AKCaYs z?gl^xQ8{Ho0E>q7$k&>>JFEuxtbx@c!OG9!ZH*X&S@>K{x}onxew1 z#cflIjd*PL(Nry;k!UC*uNuDJUrbKiYLiRWiKy|04i$+F4iGUotMvFD0xc+_=hn&m zR&Fhsm6SN;cb|H@T(%fBb${xv@8%!nWCMY*CCn~OV+eQ|p0Oe~qdShXznBuJkF=7c zDAb_Ze!Wl7OXndz)d^ya_W%=`7%6r?4SC~!vsb$YijFFDYxdx^Bd~su0T{xr&~P;n z2_FE@WX$?nQ$a{FlwLVd0O_%t5Z4^n0(QJw6-$p~xPFfrff#FaQ|;lGCu>D-G?{oyd_NUi>2XKs@sS{3*%IRT@m@yEQeC zf7Ut`WtmApz6z!=0YIRTtzXl+F9NgPb~5*y4%wq{7${Xjr*DZO0ne2f zTn}gLsoJ#j-nb^S>}!%&mz=yN^_SxR%u{fX4edF6p9KZVl%Yoa{RiAy@j&N5wT9_J zfq9~p+*nKf&6#X5nggutWdHY>$GkR9ROlAFyMH{UW=*J6JwYZ*VF@GpQE9*1(l5fi zkuxra{{Q~bE3PW+rs9Ag&*+_p%(+Ot27^_19*-L2{R@*xoC%JxpWX^-s%dz4-3L9P z?bt-Pr#}y;&*)&xwZ1^AU1#9dM_O7YQJE&>(w`rfF6OroWSuK^*^aY%d9-3Vvu+c} zSs*7X9VX;?5lm&083=n`I7M$Hwse&p+kF;M&Fcr9L2d6AM_lSIBTFsN$eXa@T1tGD z;W;2!>QNtT^4YO&=fZz1B&$;ygu(3x{`!a~!UGs=LqpNIntdeGUtcFZ z8lXM4e=`m?*ln1>bNSx!Ibi`+FE$ePsq`sTFIO+bmFc&Pn3KQ@7z1+UQ;aYC^uJ=H ztRyc2Qt4Eer5L5Wi>PilKN_r1=GVr^rt6nH8xWcMw*T3JjEtTd*N!|8bb1nRb;HK# zmxo>5#0dQ`Lomc-6#P zx|VnT58DBk)c%JCmuwCXPWzb{0-qk$^xkGEFCYCurK$BafVEaBla-dnqSN~w@T-4z zQB!gJd!f9B%+tUtiXXbl5X}z>71Bx&t=^A`YG}fVmHEC%B#-~3f41kUFGHc>BNhBL z;^!Kg&!sFE_q)G1M<~u!(lk>%Hnm?&wQ3Rx&8>8MD%5%YzRVT_zc~&rJHV76oZb^b zj}#NYX$AlRVmE=@%XUi3*zk#rE|aVtFJMRZ*(ntfV`tRp!F9>3gEpHARHUZ331z`q z#rejz{s~dTjZfs#V1deD=mE$4g{Zju%=HU>A$?RLsQL@dN>H|m&JI*YySF;49iGMhoMq0eup!v9O68Wvj4l)^v9A9)?fme4WmbUaujV`(*Rw51eNqgxcqTb@^Osz8)B=lBq8c*AhZ8O-V_ zktx2ed5(s2N&j=F(-8fF`5w#h4wGi#aJojyGOm>%hRerz0|T< zSq!Vz7Fwlkw3DiD0NzxHzq%RI1MpT{`I@}IU5lOObA{raP=V$;32-yVE4mbcggmVe z)7?*X_bs1#I|mmn11*o^nX_+G)R3MN9!Ao_0Bm7KPX=&yn%#S^l*G5SY-HjC*tC>b zWbU5z<@?KlOCDT$rd0vevw%WgY)5Of=czuO{)x7BRB-WKbu}pE+m3LQt!VIz_fKa+ zeOH!fabK&R{%d%(w0_~?U6*w!*yg!9sJT-^2ZR zocb}zwx2#i9CvD)z@oPqqM*W+nkbO@R90qTfv5Jrce{|uQt%E%N-PvsoP*UX%{bp7 z5%4U|d%VwdN!DsRjr+oZlR{a(#^dvj%aY3rN;lX3!0p_Fh1BZs=e`eOqVbKjryD9MejQ95mpM-8h62so%0!o1C#gTI*nuqFhamw}C62P3t)nzp@Nmodt!Yzj0P zc2qkltU--Q`%EKn225q)@ZM*CEhS1hh6|MkBy-rREf+%T*xEfmIiCABd@8Zz zsB%G|+e*L&=d41volhO2*ya+Z^3L4UQ@P(vW+IvTy#aOkD2A{VriFrRu+ZO}t}m|y zlEmjmJdm5uLBNdD^{KTNYV)%d%-Zor@2g4`)@A@8MB6IU1S@+2@t+-qz!XX??NSJr z(k|8g64ffz!x2>p8#B)2ubaL%zO-U@TW?Cp!PEP%p`-Ri)6vCqu&FGCj3#^b2=#wT z+aMwpGCSaF&T);kI9ByF*_&^`UP?_Fr8UIKf_rf6CZUZfEVlA;P7N={O&A%(fQ>jU z_3|)mt_~)*znC67(|A((OJ^eTW}&9w5tlHz!!Xwu-P3;M>enjarz5{?UyzAr-L8Wb z(KqSAx?x*V%O>t_I}(?x^RPT4eyo38t|F&tA~2E5L@aP>FH30OrDnfo$BUBKl+OOq zyYFp|qtv|}HI+U^95X!}^gzy)s`jSM25F|qu-+6S^o0b&JJfYs6$<-ymyJ84ytUvN z4Y~pO2F9`Y@nPT3F4}Gkbv{~?>(R~}Puj?;w#GYM51Bu2O`(+~|E(_ZSUCIUb+dNF z!(nLCVNQW9MQw6gEKjqUWdF*kiwbX>gM?V6l@?V%x#TFe)EyHmE+JxHFs`ViK`6eD z@4~^!h7ij85%%dhJsc^l3{m--p#bNKVqG7gyQ!J;ba}yuagY*c>EF`Jz?Od%d+G0PZGJ; zUHR?ih+))98AU?#oBbFJkqx2nSalu#B{?HWB5BU!wGaa_(%keFM`3O>lFyk{rmrM~ z#x@QcIlg@xMq7F;UabdBMj#l6AzHhGu5~WZH#CpRqMiTLY?(HU>wf4ddY|*gFbR!< zAZRS=8P=GL+xu_16f<=O>y`+Z>}jrK(PTgK_k%2YFxHBGs&gTeG~D9Tp~oM`7E7zb zVWMfGY~m2w={h*DlAE*T%QKv~{xO-C#o@F)adQ0m;VSt*Yr%f_3`j|mwxwM?O&i&| zDWwRP*Ns1OlKqxif_Lh474mG5e-G{K6LWrv`s~G7CMMr_306g7`m`~5{X0qdRZ`No z5;xAhuRG=(W}P8++!yBf*UvXbk>;;i|3sq72zkt@)=30qm0cf;t2WfXB9ZegUogD`86v`d z_e~Ve3ngpRbCTo099W8n9pG06r3N`RJ0; z?fC0lJI+fBTEi-ao)2de+Z$YyPo#`a#fsr`!TVz7`;v zU9;gT1UyU3d}%|K5fub`ivuh#35pkZ#Kj=m4lkTl9#uVic_=4HlfEe|>@%{MOF|BK zI5|`)3_*ocm^B`V=K7WXk_xTbm3Pokn+A)(x_od@KiPkG02rFn?q8|n;{Hp`yb{K& zn=GVkOi3X}N{YU4PHOE`2U3Dc42tmACKbV4@h|*gf#TAwFW*F2qc>2Q>oNI4dm<=m zQkW}kra18XEqVQqoyLy_I9uZ`7Q9B}1@dRI>7?FDcB?(KUjHpqcHQ?b$B^qEA9{a%A&%M;>6$n#p zdWbaY74~~b_P)77iN#zrh!+;H96|(php96nX6>Yohj9Xw=3n&jnRJrnR~fyALS0wt zXM5wbj!}DTm&gsLma3gEn^|<4EuPAFpvl^!20j62E_TvA3ugY;|&%v%f-ZqB&t z3o1vMX1XzfQ{#oFMZzzPHX#pX=H|**IcpFOC6QkaNKtmS>0GU$XDDP$=7VopLCyyR zjF@;S2vK&*%swX%C)v9qbxPfgJ--}xMyG5^$JT99vv{*Gvxu@7x%2+G(4!an?!4Lw z-uXxzW$+kMrEdJ4J{M1V&Ur+{iVUIYeAec;pS7&_v2q|mf43haOEw(?sX4l+P^Vc< zHI8U%l*;GFmLX0QKK@J`(>QzWh?KlkK31Iuixfi1D)-HhC8pP9 zt~5ubL<-mZxE)#Yu~lCf1$Bt1p|+%1U+qiV{%FuGe=q*sgTsIAhUEDA$9iW=M z5SR|KQz&yTt{tvi@q7qW-gnyP1hk;@d4N*faLs@ZfyUCK9#WXEVA8`-+4zRtMg68LcNJk2?`ZMl(%q z>Hl^jTa;hZ;#mf9mNEnv00Y+w3nHV|nJN)VOPp11zZLOEwV6;l^P0-9iYQ8n=63x# zTFJknw*{M6Pl~7~dBLoqsPsF;H@6C+?8K2_-|sFH|4H#LdcENjQ@iZ9KE2~5NjAO1 z$4$F$nN5W1f)Qq12YPE9t8i1NLXah9Z3a0LEL`8MXbNbI8W5et7%3_UB=`<~hfOfx z7bJpY7S43fB}b1Vz-IKGL>5>{yNW>QZgBPzC~hoguPMz_?2|qjB7Z?%T3ybaD8z+s zT8rvqE^mT(qnfSUReTecTzvUnU74R%@3)tlQbLm8TYIZfMujIk%5S#3`Ip> zTp?NC>O%>XEM9;29HcX+?!9$4tN;f(Y}+8?6q?+vdY`+N+x6Ba&i~IwWve3I!e6UW zsI2%iPUp?p^jj-kuDvRu*u-s^V#C=hiZjP(&^k}Lt#^>5<{f1}q_F2!05eeY<2-JU z$k)LC#v@Yy;oh+1Z1Rg@3kRUd`~AN(uDh*P9BgZlq9PPe5lc$3){rU1I$4{fG~DUd zLP$ECF}5HA445RbP|Gz)O7U6(KWMr??VL!k)Mx2ROdlbB1cP+QMirjQ_*`fi-b`$) z68YVQH1tgT#2959jUPQRn36J*d}CTf5ym$9Wv<^Q&bUE6XN+M`^x@Xo1EhwAyGu=V zwjmDGP~C0H9p9deko7?nCoH@$rrc(JpG~#iSNHADH?Eno6M!wE54lVv0CLAOuDvLDoqw%`=$B*Tf z=_`R>7p<5h9IxAyNz_P?R#1{WqRzI>HMNVraBz!AGQwrqGnx?-yp>rk_JsS#tO6xE zB!8HEl1i4bW$z+AplL!nCK_Px2_eZHQ}IuvnPsE;$ZJN;rl^z^)xJsUh6KW4 zbY-iYG4eR#jhVX~?;BnK0tHfYyPr4Tn_2vC>15z@3gyYN#5)t{Yc}d|SUD6dT_)m9 z(XOai<4O&9LYQs;I$Y9wMtq=>dmd=}A**_=Umy+-!%YUlej2KNjtVW8oo-IcoxG2U z#lUEFzTd>gKB;NFQzA(QU{~5vU)HG)Kr!&nqFng9WK*(a>0Q2ke%m79-G}b?%y4$*ydqZOvG7ea*$wE-O ze2JyPIw=91Jd1bl;^T@_fsl!Cqi4%ZHD4-p7V~YZ4!7ywI-S42*y48$5{`~rB(TiV zk}t4d@Z7&<`lCsx#q*2l{j*g@Xf7_^(TB@?3^~JB)SOLMzg}N-(pCD5{CaUoIC_AX zkCIK5#hAtEIOrk&0!H6Ua7quO5l|)$8m@Ym*%M7APiu6WK_M{1g|LFzTm1;no%S+j zc#lsy(Uomh=R~#o25e>P)T@Qy+V37J-ejtby6OyIoA|umZ|_Bsj5tP~`zA_JQI9(X z)7T=Q&c!w4GHere+fSO|&ac}Y=fTQ+El(Ht8Q)H|W-OYv>GD=@C5UvR?z54Ed-n+j zx7_FU%oUSBiCDXc$G~3j;tKaZ8zZTATF6c9@kMf>a&q7pYHT^CIDaJa;Sp; z=&7ODUzTz1@o+ToI|?%i$084t4T;^YpcM$ff)?Z>vy z8kgg8>et?v4y1ZrmX8*=C%XG+Te2We?Z{LD2x<0as;vIyl3Dzdl-pS!yZ?!ePK0n~ zWJ?Y@+fU>fx7GtyULBs=JoyNT34iWDL3LMFW?K~$dB64ZR2j%Gy83~F3c$KxdPJJQ zmpa62wieJvk5(g3OJRN8=Ae_nUW?JmWeoIJN+)nzGvwPq+2iWjMiqQXE|l*>_zt|E z*8}sll-8|~bakrjg9|n_Z zb@d@mBgqaw@A8<%o^Xw>UGP-8pAoyUlI@VO<*?Nq$39a1rF|HI70~Y|;xLXaX@g6> znA_JU&N$fU=QdBG~O_KPIIIJ|ik@*qL(;it= z9tlkqbJ0@u^`4x2JY|1@-%G)!iEXIDX<0iO_H`rklZ(C?TZT@i)*p68LWgEVLi=z< z(<6}iVWA>LIA$&SeJwwsD56iaY4wlMxZ{sh9(*#;UmNeFl2>|f-ee^=2Iv`efd}gL z7k}*5P(Xk=*8`V-QMQ}Sic_r+^j@Mvps#T9X{9Fnj2@IzFG{^qK*Sl3C{S{_CgUjrE#i2Tsacfs6 z8{uuawiT8qJb8C@S(sDh46Cy?WzCjOx0jBOY>zIXEO_z?Lm(01+bD5ddOfo7`%u}O|+#-VX|8}BWwzo;j5^E^=_^|(nAkt4Lq!i~& zHS(Q>!E8cbY@F#^ms&I?&Z5$Z+&<;x_y9M>Cv>5K+hSK!cGr^rcjn9gk70_Ydia)T zCsNy&%ng@EaKiSdcJ%3Uq3^=Rp5w}zYEVfKPn6Qp*ahA`o^NdE)T{s61CK#*mw39@ zzF^8xP@P2ZP7vNe=b4$j-c%y9O>6ge4|GC@I1!tMyJezQE|1-cp22^?=LF!A1rQd< z>c~xbT)@Ws&oFcSy|4eZV@8gWP^X@>cLom=1WBhLiCM_WNiGnFZE}TnDhM%7zj94H zsRQ2kK+R1Y3-&^7GN+qs5unmckG7+_T@UiU8%zGrOxlI|wpYpd<6M49Wf3A7n*(&T zZMg)3u$3^ux0b6r>RTlTjGD(P;-@bO?Q!jO$;3&vAPao$%PKk#>?^MxpLkh+7x7Nh z%f%;H0#S}p4uLhk-`t-7n{c#kYTK{ztKiDC9gJVI&e(V79|{}eaG_UuwnhvcmK3$e zw#x_nkBZnbll^kQz2gN+R~STrjMc~Dc;@&RqsV+W<$fH$tESsSqLIE;2*rj*8peC( zUrsCJp5y@wL8U=z?S*Y;>c?xS_&R14g<@n3QDQLRV))#4f63M87%k-4EWSm!42^IH zPk7>5f$!N*qhw<>;{V}-vCvOMSh8e55bL?v;^RX%-xPQzf#f)jjTqLBc%;hzOCB>N z-8P!#gzz$Z$v~&U0M|8iuCQRon)M;^MiE;PUtt+r{6-u+xhhX&Uk_v>mPb2xg+OX}jK z_3K$Zm&(w6pb?mqSrTJWe@H+?j#4W7NAW@$KMgV=xK)0`&A4!~7DQxDc0>nV>Nb|p zOWIcSB$k#p+IaFjL1UBA57vbx4W-!#eEv_AaV<2G@9i@%K9@18dWV>Vps)C#drpr= zR_j%BoRN-4H40eT#RdV#!QHfcZSc&ia6Z8A3a^r?Xmuy!=ij|p)n|UM@$nN?jxvc^ zG%Wu|1sxMIxyBnWi#=2|W1F|um$<%N*1cRU2E10nvJA-NG3O7-zoVJBvx8qv_a_^x1rJj;PPf%k zPMep$`mN#2`B##ay&|4Zub&DlXA5NQWO7z~`J`W0((}srt@vljUa|(_0Sce<8LQ(3 zuY(yjwolx>pd-c@^Qy`@-yX|fl^COT_tUUaO16(gO~rz6!!bZx>A+qJ8@ciiZKu&| zD1zIFb5#`52IP^QRC`%(t$VDzbPZsquiF&ILw%MZu)on{c4oOm;WDlKXe-5l2iM`f z`FvAPC>q(Ax;PPZ$;r-9ofl&8%0&wRgA7WTebApL7es5TJsV&=xSEj>CIahAH2?DY z)7eFv1h2|^$tP8=X0a#`{ay!WFh`wZ6V)J=n|D@*Z{hXY@7K6!E!&Q8-6n~@&Pb>(Wb!N=(IWgD5dLJo6*Jr9(#N?qAVedhA;ZH_1_kd zN97ER0&peJFwXK!&^+kGpeDaH)r*UD2+{owq&P(!{(ahe+wTco<^9t~TZwdCo+#4v z#03$dN7FFKm9RpvB2Pge(U3?2^bZ<-c*qM${Qg^P>(!M7>XARvw_gs2hr@pdkOW@H zO=En%UrXP4(JMgohIQGuRdyQMvPTH3>%DD$>GAMzrM>_Ryk5i0c7IYleI?fSIg`Y| zY0PE}O<_HSIR``7-UvaB+Y^_-OeyXf;?Wsg^67V8j9o%`-Kp^~Ps+ zLPukZnZO?$Y+vKn_0@GoUGtYN0v(VZ*KPU3W&JmB%m3Uf%7bA8xe@a^H3+9T#gR#_ zUxvH6+ZyaVJ!em!!SG=DZ;eP%GT&rj#?*qkP=f`(2OmM_^|04RUHA+-)f9qGUHS3Z zWVAWbED@xmf!0RocG&MJI69`D=7!7IsscwXeiSs93PXYIp&FIf)bIl;=7Dk=Y-d-q znH)r(28mUrKT9rWI#KOle=+P#5%dnank8hEc;%&4@3EEcecYjj($ zwAUCAjStWazKU>y5abjOXB5ag2OR_Q3nu${hygl+gf^S_A8ec~Zk9vr=ii6W;uDo$ zvZuhEM{PZutR+L2B`Xuipd(ox0|I(6KkA4&p#h-fWDi z)L=%$aNC{c2FM)sqE4$_+%XXz_eXGzg~meDUFBJ*xKbTf$R|ypH0voZx!fHhhWQ5@ zL7$ypC>tt82i5=;O-b4Y?wfB^Mz`xB-ZwqpoYqfRoz8CA>s{|_G>P!>4<83YUsD~0 zT9D-$fN!hQ#(fqSPFP;IgVJDEhnubbqifpLf^p?uW|Wa;@KineE2E|2XaRW z3vGQ@(l>5;tTZ(KTsW7bkLVyZLF{%f@pz4DIM)p*D5SAaWgF~L-X_Pr`_iIy(?fI3 zVNc+sp4O-2qBo(t>odE(LR(#w%J-)lFZc72$BMH*SB+*K>?m}M(2CnU<;-+=W z(mWHM-IIBYw5X;mXVbsu^KOfMphwrFL-J1Ss_)I}*_4sMF}6P_LJr*oAr_E;Trz8y z0WNfAd5A$qLLYT|8Bdh$(zRWx6nW6fa?dj$#!B&xfocygL`^Vq^aD{nyZxD`)T1xj zs-=!rdw5Ry09gJ)iE)34*+nFREYV4w$}CAQxe1yllXfX~;QHXRSApml=b%tcI&B{u zg<#Ss<~7(gjSh|5{j~3B5IgAgn&w0y^7CveI^7?(FtIA{J zE9PmH38HZPwYrE-4R>Cg%iO43bX^E&*6=G|QxK>;7-t2j51le9_F(o56T-v?fxvSY zIPq(55k9I{bJ!<)&$CbNCH_^pwL~x8MZOt4AF!_`W;vso#jjg| zP4FE*esz{hd_tgbh+sQbu;|RxIrxce%^Jwc`OFMn7E6-oy?m1{18y{bYpxlv!Yvmd zGD${-h3YqVke+Vz;*H7hsGXPB71jZPXUmEww7&)O-L^5pe^TAr0JTVs&@<6ixrpYg zAaai@?wJ~AMN3y@rTQ3RswZItxG;uOo~dL5`)xjTV%NHepx+B$@EMgk44Xb6lQ%4b zS^FapI{2pCb-~6}@3_FdUJH2CS+%oDVj+cEpPTbOpf8^I`4ef2uGyvPQqlFbBdb7= zbCg|{c!z(~2WQy2a1%tnqr}jzcW>un^}O2a_;GhZYZat1@_SJb^C&VBD0j6{4QI^N zub?i;_ASR5>)FkOXuBH+=Wk#No#$6Mcp=cuqn0m83cUV^9|9!~4kw}Rqy9rZ9xxJe z;2-{cooJwj8}VME4V@pNg#NV(Fl)F}01UIUHGiA>W@6lIm6W|tzloHwF=1F>Z|=Xb zxVi2093w^O>&`0&SmNumZL{Ocs>X3%oKGBUAf!kEdbDO^^f{NzGpcc)ilL6<8v^Qt zdBtN2c+lB)o$P|4*B(DUmT0e4syY~N{JNhM|ePn*VK5#cs-!@V89d?H3>_#+Li7n`N{MA6zO9T48`F~?BvFfz! z)3t2AWK$tEh2GkZL+{KBALroguf9{Y*vWjQ*E*GBlAJ5m*hHE@72|7LH;NrO8=%Q5tYDQ7|JnkaPdoFZvulcdewrV3JY3Z)F9JTXYW>?bNk+`^Djt>QwQ{hPrR6M=G;#iC zymjtV;SQ^7{-mf7+2*404+R_N)i=i}563OH@7B)GZd@O=ji#Eo0@|C;iibXG^vPm2 z|8m{w;7hK;}S;9H$ZmoVd$44WLu~Tz{ z?fm(v_u|&WEqN|HwH^_L~HO*}yI+pRxtTM}LFp*(7 zHoi`0IG;>50LRMz?|A_H#bo}8yg+DWypY7W?C1VZOB(VdOx_Ov1cQv&z1b1PHYi#) ziu5Uu+{lPMMRbC6Qp@^h$~XrE32u$=@3TQEL~6foa%5`=_(Fw|{=$h!VfCgWw3q3r zsch&f;+S+0`P?nMiB0tGTRg;)n9z8>8x>s%*l|J%56SiNY7`_@@_sBzD}8C5YRk68 z1=KXL;&@5X;&&zf*jrOACrp-YU`IgjX6OeKsjpz6(`h{8<4pQL`78M;$0>tR2wI{| zDWhO}x8M|t|BiSahwm;B!K*U)vU`gvMF|``A1sIn0+Ux?iGFREju-jXTqxqDoFk#Q6gvf2%Du~Az@*#+tq?5P>g7TU#Snoh{mpx(Sq z4V>kp>Eeok3f@HwET$yh{y$88WmuG5*sTiEIe-id-3>z{rNmG}BP|F6(hLYlNJtIg z3>^c~jfxUVi8OKZ=@H!L4LgemB+qgHqe7_HoAqQRz8)!}Y0Q5TE)sv~JrWH=y;zv(@T(qG zZ|u!izj-FuxGMBBV`5MG&VH0$0AOhNmk|5w>SU=wf%(4g*Qi{rWFUphB2R0g;IIX_ zCkbb20rz5ctUoZ>&nz7U>4rEk0FxW+xizVdc?3JVfw*b5c3<#5CP86=@Alq0b6z5l z#J4;`R>avF=JZ`!yV3W&Ie2$l6o^^5XjmVA3#<$EYdmkC=)dhhF|yvweNPDmLVi3$ z`$AI4={clty@|(w7&oCWeG$d@>8e zX>3Mf#OZ=?=%%SPuNU!xWnkRARwynF>ofe2gFB@NYkbgU6=GUPl;;WD5?`jIy}a5d z9^9^&`&9i_`llsB3eRCu`opfeb-PJpRGm^{9}RY*$_RXPXmOG>K4>oUl#kD)^S3%O zO84d?hx_^LzL>~7j5X$(DTEi^C9JN?i_x` z-eEJESTax+eq6TQ9%SofeTY}X8hXl3;%WB5=1-h2XST;|tz%(boy1_CqWtiR=_~u! z=XJ3OGM)>u5BZxzEse@zF(3=>kBr8iLe1%#zN%iuMJ1poN-}FtjC+JC2Bp?t;>*;R zB8?n^x>TaGSw2rq`1I#PZpw1#_GUTFI+vNtyY>{6XeVz-lty`g_>r|!5|Ncb;)|MFr*T-XO)%WcOF`?XZ0{_3Zf6{25v z@s;Q1vyuY#f}-wZ?n;$V&J=U1dUUDLmhJvb}_S zNOR%{9S5&N2{H&YpVZMn4LiTLv5LAwaoD-i>=eOjmcDy6clpP>l^nlrHX3?wRPwDZ z?MN&~R1~=%0CO;qaR3@WKUtnyJIzw>r}W}{{9_V5P!up zD$3PB@X;>|=f)7xx{G^@gD;((9f+I|*74-?nXPG(;h_{i!G_NGf(y-lf|tPERgqy zWS{>wNACv#T5mCXW3obct7DaloL5y%uDn0$<}Cjvu8*_vp8Lv+DSorHx~{4Bk0GgA zRChJAGHP$!;4H5^`+yY$@sODoK~!}DX$nbR?o=8)GBggX=q#-@jqC`z#t`)iPdIf1 zwMOv!Mf?2uiNOjje|{xHYNgT`yk#ldbfeOkCX9iWt@UmF&ih58_9gjAp-QTt*pk&q zJ$AQ1atx`~+M`CQWkd)PPLo<4OACrf{~^cHrj-+t_}wC$?k)$gi^StO>_%o|OzSaYXum0CL*#41bi z=wRi-wC!|=eB_;?xVP^`H8D@vg61VvVm&}MlHCS(%;x+VNwy^R8+^&cJ-WuPvFA3M zpp^#M=jdcTaEQv$#c5tE`#~cB$c14Id-I2c)H4}E7NELR5Vqqw2Pv!?_yq7DU>L08 z&hh$F_DuuXTR7Uq7mlkMzQ<=-KPo$Gr$cB*t2a2v8EN`M<5Z114c4qv2SIVVrfHOj%D_trgBx2ea zQv`|D{5kvXOwn9PM<^sZc6{=2TTi(C9p5}cRO+Np{!XES;6j+(8uy;bXtq)GfyTTq=zTCphYXe+ zEl_t_)hES?U**R2yTKw&o{P=Z!DsujAd(e@O7y-TQaY*9!LY%GY~| z&Sak#TLOL10mfON$Ifs$=gSdvXV79tIh6t(8I)nU+FCnCAVYbCiRm7MlE&=ORDP zo+<5#;UVD6$=@bw4zzO7h#cWMMn$U;rOd*-;YjDv#XwQ>V>#Ft$0;A*Xuihem$t*K zswcR=ZE=m^>fW55iLYbQ|F$K@9=z#k>vcrrcjnmjkR6G!>=QBBR?&QTVTvM;{#x&x zNWCEbBBzSJNn|e+tW~>&{JKClG|lsB%rTLq*LudUJFa(MVR&)suzEiBIb=^9j9<*6 zNM20!okc0ZFCThUSXs&se=P+a{DY;=Kw8q8w#>5JtHLtl^jRQPj=nz6ef&=HY1wi2 zf6`uY;mg24V__=R50eU6B^N^2ugcDyND_YR*kymvjYvA~Iz&Rxk)WTl^lDsidyZre zE?u_%KWjs;p%Jfqf>$sy_P&rC8x9tjTuHB)+eQwb?RkH8Xk6hZG>37D3deE+lN{(` zbkL{w((||etX6?U*`&FzP6p@QB1k&_PsVL9-5c?--4ho!BDyk_2f%%#`Rzrr@|yj6 zfp(=eok-DK+?VyP_xcG@sV_vM+%i3*2~Wg#Ccy~!l;KFw)}T+;w=w8!CsDkGYWT2% z53Gi34ntO68r3!xLPoZ-U2iy2S4GaGf1*^1pIjdP8>?SCY%B`<^$3lvvsHcqhG{!k zagKRJ@2mMj=z6C16*w2dV%>%)o7JTkW6be7y@;31spjlaMj)A8_l#5U`9MW4nP>=8 zChjnEY{e3h64h`W=xE+-XNQF%wdkV1{S?P9f0Szs? z)zyx*R?rjpp7w1|xTR@i%k7QNqfPENZ5I)oY@OwMTF(t;3B_|cn#cBfIXHu{iV^dv z^v6HVn{R?g*wLpo4(r!K5=GVLVhNFm?db(1XYe4Mx^jGE(<~#a19Rntg_DJ&c2=gA z*Q;d5$7HL)EZIAbC#*#fYGhWr_3xkNd48mx!v4)FXs@?w9pr727ay#AU!*)%edW1! zlq6Kx1nlQfMDR>wNZ`!z&UV)&x5Nv4nRCNK8LC{W{8$3j;1!80ZZ*MkgDqwDcWG8$ zM)~m0B#s|olK2f=4M!t8zV~G?Wvo-I3jmZb_K@{A1>~WL&kB^|HeeP86qk_Jb>yDR zhRz#Gi@(pn#3t{BsOL6-jMucgj58Hmq~IRljo_f z0G_}d+}1&TgoncJn}A1huCn~;u>zpc)v>)TiE5j7;=+!12U^_e6T%>=+|CL0g#Iiz zHDcbA$7ClvO6Yks6vyRo)RH2|H!eJU1}lml6yQIvdh2KsFqh4Ytf%Eth>g3K(oI-e z@SB+42CwfP_6Fll7-XW#w<64v?~oR-s>3*rT~sJr z4A{I?o^t8MCVS2{Lq8y3>@J-}>2-)A;2v9#8AE(tS1e_X#zwHeXA`4td0-oVZ8R5? z0yY*N?LIoTKRus=Xx4_?3ZD8sz6( zrEz)D3<|7O0#SVi?SJUgY$y$0b%4uNZ%9WJK`?hPcR z4~{yCN2R^v19#5nS2QMEPXVLe;uM>C6G|5Ue`f4 zgYhV-`HZNVl{%$ye2!1e#myTUP#2}-$Jur03NbZqHCpxh)eD1fx31KN$vZZH-p_7* zIM-XLHX$Lw`Cx5`w9aXSVxmk}@bVQ^k46+XDt&(^HXaej-u~raSbq6W!&1UQu2#WY zsYzBI>?&YIqzJp(w(Uw6G_%k0N)$_kz&eTh5k2vAipJ94>;th|1@B`r<6E#&=7;ho zMJ<>@`^jn}G%7O2#;)g#fYX+G1AF-ST*jZG!pg%#NwZS=2tzm10EC~DymxOC;VuxGd(e-`DI z1jm07VTceCcvBj4fH@&o)gV35XVSI=>oM+>8l_$hxoTyz**}IwK^Sxxlx#bCUHkQG zN{C4_he(F1qJ-M8ZJ6uSqJ@nes)~XicZL3_rWY$qg2A_Ystxh$fcfm6jd~ztUpgLk zNKL&EJI-Ou?~}sbk}P(sc&Fm4(lB!|GOp&a54Lp7`xD8kW>d(`)d@5J7UF(Bl}1U- z3%2Y}c~-sgv|npcquEZOLKWj{3@xe_G{F+6;GTEO3TO!2=`5Tum_8JDe%xDrl=jT5 z#3|95IL1GRqW8psyeFEq)1Tf`t#Am87-Z|)I$XEV;F{aW7?mm$RzSWTJUkwJi=!Hm zJ@obU@3vwLG1b<5(_TIC-eHocSN+#~T}CI0WF-(W)jH9@gjz0rOy=UT-T(J>;mtjC zkir}J`yP#`K-iw}#iCRC>}*^dH4BQ*i`Y?!`5Uvj@iVGBaqeBRA}DN%Y+=enXSdTm zn~!|W3=@P1-UN!bGX83>8yucuKRt29Duk%~7OfOjSEG-BP+MW~WuoYa_1r)3Y>ZH+ z!=4)9bE4Aib7-hNB%Th&QhNdu9+)xLLz+#AH>?%y6!3_Wj0a_U=-LQNx-33QH5oM> zw5Dc%_}30#>KA6!65!2b)BJQO+dLs}VknK~m1h?DBVV1c7#RtL)0V0N@gEZNNB1JM zlj7-CF!*#X0?nHZ<0JfU6m%@&#MKUGX&5``9Y5~u^mZ+UHpq)$pg1zo$B22A>5>}n zEZDP0j1E#E3We+nEcu@hv(2#&bsQCbl^3f9h`-NdFQ4`9$@nDx%D3GYGd#CZ(eP39k#ArzgVAS(ybR<1=vaaQZH0UR_q!(Bs!KU4(5R5M=}M~N66 zWl`L@?qT5@@?qTw4*P#`pg#?ac&?NK_Z`rlK={H*Ck_Kas6iqiSFj1?MyE!9DhXvE z4Mg^L8haU;sH0v3P$FTf6;fqP=Dq{&)kTmSQ#!so5F~@SD}?+NZsH)TExes)4}-%) zurj|2HLK2}pV`mXU_>RS@cn-s5j?|---;1|X0WkWiLTH1>p)6}wSGvoc>J!4UBQj{ zo8r#v`ecW~(%>;<4@iUvzXKbj0-BQ?QVx$te%tOH%vhal#YS_V<5l!w` z;+n$4l~f2kNy8o28QBYsQ(4=+*DA#mRSy-m>!`JWTHM(d3ktTlK+_Gp}IXzubdmce^E>k#{|syfmR#wmh{~J>=5d zV2PuPD>8kWE@o@_iAz`0;LHT}N z{qFDC36>hnHSIwzbxr|$_&Y>)>f4->UrbU-Xc#my}cu#E6$)08-Axj9E4_6KyKyiY_ zzpERfsxnN>k20iWjWM+7&CpCqB0Km%RLk>f8RVqtq1^JHYbo)4d|7a(^W+OP}$EekavL48MFG}qJOt+leInlDX z+wdEC;J%BNya(dhW$LjjO%Gxgx0Ql5Cd=OD>=(XZ+Ae2o^dH<63*E4R2Uk<4k zhJ0HP^WQrZdoczXD;voL&EceDdJ|dIYsggtjBN$TZ3=9A>RqXeWC@GjZ-}M{g%_3p zBS65@MSuYxAhJT*_>IfDHw4j|LMg0ptk^QQ_gKpV$M__aVZFJMGwNzm-%0rz15JO) zxhTF8KBWAyXY^X(t6J5VEZ;bW1Z1a+M2IO(Xc~C$uMw;)uglD^equI06`ND zpdY8%vbev9A>&OgF#M*X8=tu60aKdnV__{Cs_9s-6~_m7qIfLI!a4GFsLizq+QlVvqAUe7m7jLtcYXN{hH>UY=jlY9!Tu=8^yvPi0XI zk`&o=dzQcjXM4*7+@O6lvP-V=fWIZnC@)QLTR`x97Cg^qt2P8UMkFu)Aj4ic_Io{6 z(_I_vqVmS@6Z%~_oR}^Ad^ptwcjO<#P?<(aPMswXX2ppH8b1sWqm-w+y?b#E`7IdD zvLZ8!Te>AY0FXXH;X)psn-Z>77L| zA*0j%AE!Qk1^#CK+tP75$?a_a(@=e;6{MdPc?{omcQ$uXC-r1v^fOu$1cgJkxw~aZ zJo7G_@llm8)}8cF1N=s!ux5%91}%c5L4>T6jm?UjIf<0HH+ z!DpUZyf&@DaukA#ZDCuud1CpS4eXfik4WyajTtA=X=CM>RqNzX>Q-Ol=ve@%C znti|(ejdzh05}*d^*v)TG_({~WOe+~K3K$*HWp!06zfs34o>G}9|6rdGjV0u6_BJY z{W{^EF|;sXFy`NdkmL?q3ACnzxB*XcPbFZpkHiXvZ^$6fP)ArF9Z3ZtV1-C^=%^0An>OaGnk z%)I-y|8UGt&0{#4Pw71A@C1HSpsY7*4@|t10Qok4IlTH6tRsp&!GYj78fo_#stl3G zj14ru?87J0NMCtI!yZt+B~yPK0l`5Sh@BKZN|IHU8oHc&jP7juJ3CaQQ7=wb8&Fp) zk2QyiK3fju(T;W@H{1U9<7n6g?U|LMz6+S_FBD9yskOuRgE zXpR9<=S0l{7^&umA(Gi{?-4G?G|h{3*8`R4nQFdumqsG1GE2;Mo>EA2dA{%pOVJ=h z=c}0}hrSfBg)_XVW+NlkQ|MvWL#PzUeSlZH-Dp)oSi7pO`}72iA#3Y3S}G084>@F5 z@i&Ghv_-op()~c;t$ALE@aUdaR&z(yX^6zA+U5>tn2}fky|c+3LkG@26*nK+??tCm zvI>7XG$Y%OwL7CxhRgga*4$jyd<4A<8Xy!4)%sjBjkw9LKoc<{=fN+qV=IntL7Wt# zAt|#Hzq?3J-g3mv2B-IAsu4TzR_!AG7A8ru^XPev<4=%s>6(9uE+Kwp-x-y4P>#Z_ zy%Q0|7vtNwHTi*kPKPsea->pPw!v-sy*j5wC*aFpsn$Rx*fZ*Bcj9x8u3Qea7a-p$ z$@PJ-tceve1#R!R9S4{K!9GpYd$5m%(A9s3iE5qvAsIKbdM@z5J6X3Viw&9}0>y6Y zQbzd&&=wAv!!$6|VH!Gc4(1Cj=VC*nm9+R!CJn|Tf-hB+s4rp4EJ|04@2gMhR$o^o4qB(>!%9V;drHLSCZY`Km(#)gZcW_xLi-&dk@%OlmMQ#p=h?)N6^=wbsLM+fS!r-M7cw6qwRN9ZYNuKftE&4oGafb|{&?Dm zXHU0xz=+3C@5YnOTH(w?w)G@fHtf>1Fqj3mzgvK5jnE%)G4Bz`WQRZ~4~+B7t?HYL@|ei9VPC!NAQ_%*}crWal9 zaCIr>w0CHB{)h;LVH~b z6r_{~2N7Rk%pb~l-kyBsK_|rB%QNdsngFkUGhhZtD8hBB5yZ=w!M4g$2XZnxk5>KX z!=0$<9xVt3zZ^{1kEa8rndpY8^Rq?}pS~PIvKfsg9{VvGK`yYn4LX1ac)R)OB zCa!sQZG0B%rYzoJtI@rE`y2k1IQnaSBq1db_<62A0}P2E>IWSMGNJ)D4{Q&kH1p)b z77)`40XD>55%-m{iSqSn+87Hs;X-LPFWGx^YixA>h%ePD7PISibeupmWiF+i5{=a z*%w8x4_@G^CtRtQK=Itxn#(Uh_e@gRrs)lRxAkjL0)=~q{+)OkpHLvK5-n;*R;9!^ z5Voyq>uazUa548d_s=EqPxSUW5DPBZFr{(}EmjxodORO+xS~BLJEWg9Gf=)uRUn2h zbENa;F0n_>YjJ0rmH;S)Aa|$kL(1ITTti<(rAOrE4Fke85jX|oB!|7MVQ2!ABru27 zxipG^Ls+2dq#iCfTWHdFnU_FUyr-QBzW8-A@H&B1mQ{+t()DpC zo|f7rc=!^G#Kf;GdndvBpW|jQUdODKF9Fz9mqK+rK*1>c>kP!jPYi6;DCsN;#Ais-x*)66ORdER+p`#h_{UWOU zXmbloH6`}NuJbU9kCBepGu9Vxb$`=s`B&?!WuyAv zq(y5YOgGZO>)m8PZ_M={LEwJ&Q(X)F(ruvLX~4DYKU#T?3V6M_5gQ!7A&WqTTWTc% z8$nm>3)BVIC>CYF-j{b#Qq0qaz7_# ztqe%hb(Iaf4z}iKt@$_Ft4QtXz^DGQ_{Lm!-5Jf#>?hoOJN*qK@NPVVK~H6fMgO6k zZBxeETH)vDN-eKcEYCw>DMr1J-cS(BH)nx)s%^=#^Uwl?mK)iHwgWM%W5o_qVuses zgK)2a-p$T?09uUX;Nktcwat~fb^xt{_NkcFzk7;35qe6bn{A7Foe~gU3hjDW#ihxI z0)D9P=GD)F%7j2t#mgm3vXp2TsF>X_veSv!b1u;@WGd)fQ5vlI6(};rAM^*k zwnG~kXe1T{0bc<4;C^1B=cZn5k}&YZ!COGV?ysvyVS|?~td{=hS8>~ksj~TOGv+B$ z7Uw-Z?!5cE@C^+YE$0DYu4G3EI$uE=o~6WYmB8;#Z1;S9vO1vaofxlG*|p-RlYy;D zvIn>blF?dV#%jlR6=BqV#>Vlz$%i)>NGpUk|LIQ`9GhueNQSgs)LNN=v%BkB2>C) zdf&t^BFbLYC8BSv^_d<#ZM5~7C!n$;cpFf0NHjTur@lo}9M+}%EoNLN@G>k8`Q?ao zQl>(3W1VUdx8M=$PR7rz%D*lia()Q@_RrbD*9dL<1iQt67~HPj$jA*9Xs(p~m=~&N zh%k)9z-&v_qra9l5u2~;(nUb{zW|KFd|f`HIrr0cK8e+)N(2UyyF-i=0^Ixp8#WR~);5@G_@mdYlmxH~edfZr43tqm2tIyT+WaTC z=}sW(4t${k_Gu8dsO1`7fqC7z;yMD*ewi`=f%KH=7ENvsuvP79)b6ut$!ef+scGLE zkV^^c8eO>8yhCm6R{T=WIc#|tvn({+X7{aa(lMpEnJsCUZI|A`72edD$Pz1q=i~|Ex*m8x zE($<2sDDPSg)c8;uCM&Ir=mZ()ji9C7CX@z@OM8z!2cLF6hZ8%$!{TLxKs?o*95~J zor6t`xd%$qXUYil4L!jag7vRfO!zWVc~^28p^)MlBh`M8p?(LOj`UvGwUv9LX+OA7qaaGgA~%@kj~$=$B5m?5D6D zud1Qps6$;mpCeiL7qDN={y|1zl&x5#L#h=#Q^Q1;Y(famDGzyfw>Kr&RBF=lDSFQD z2ClrgB0swAa26U))~5Ui@@v}h>S1r}*a@fn=F#@_ikK0wyO=iVffliY{I#sN{fPHB z#x%V3!6WWwN}Y0Q5K+~ZV83gP0-AvzD5)zR@xV7Gt#clUX@ z$}OwdvXv#HZ*S|sIgKdn5~9dhP?k1ZA`G2wPrxo+S25oFKQBG>vJFlEH(o8~Rp;Pc zq!9*3z^Bd27Ho^h3w$s{%*XBU>!N@rL5Wg({?#5OKB54PR) z?>0_%AUOr>V%;?on26~`S^^kua1dm-8nMsXU>rc~8vF>pxVZR6u=+qb`FeM(SfiL7 zCJ?K#uHZ5E(VPd|$0gR^1D;R@mVh%2OM=?Fh@zn}g|F&5zSX{GEL(%yF+Ow7vh5YP zE#=@UDMg4^1ep&&L>BNtlTmIZqcu-Vw%#m!`>|Q)soHNq9ynJq5G1(seTp#hKODO> zY1J9s%Es|`FY0d;StJ80zHuGMX!&X#X)bwnXtK@2(7D}S-hb`Zcu_5H(fK7NS`@Ar z8Ma_Gj(_Qe4!zSV*QpaKkR1#P?>L>`Kj98#|6Ou*TUd@F&KEQ{N&myAS;SCp!}=v6 z?RHxnR#Q3YdI_-6BYxtqd8leywgv~9e{y|f{?U0%=jOd>AyU&ex#>3$9&+Hk1WYrL zP5qdQ1-j*!rtG?<{BlA;pZ|(P7Zb05}op#45C%kaS_3blm;T*EHz< zygrGzVB-McbWDcHe~I4}DS5;;_dH;ztG<$V%o{oX#8dy33`S7>&w9c+LO z(n5{$S}=5T5oaZH*-ds0*7_mhxplF10YQgfHkC&yQ~LBXXL??F*-Vu`B#KnO21b-V zDi;8|u(U1x{CKnZiS0G>73+DxWyZPdA^A(6&;Lwyo~kAe$_9t`lC6p0K)Z{XKL{(H zDo~(W^!(n!kN^-Tn0@0LgAko4?J`6W(^BAiuCrPj|AS8Ogp8kJIRw?I|8f4?TeFp4 zS^tP|*lMI91E;+q9KF+9;Sd|!MN6$w`u=OpGm}x574=oEp072=cJ?4L3!~(+P80rw z%#|0pmG4EYB4oD*(cY`j1# zQH99jb01A?u-;m41UR~CA##Mu6T|Sko@U zR)sn+B=_mUj3!>+>K2i*>Y-kYVkdj zvLpX(!?Kaejg0%mXMP!xJ^z5t+TEjUFFU?N8H=t5%l@Bhmjpj0^(GCYoE8U`3;u#w z$jwtqUOza7(TEjo0g!2uCtdxxRn}TOf z-MOAvTBwRt(lNx3b=1j0faCA&ewGX1d8 zB`N#H!P$8q=E!whlP;xor4CJ!zohzgEQe4V_rRA)M}S*ET;N%EVWH`-OGQSi1g+i< zZ*Q_or7(@6d`7Bz)lw;rW^zAWz7gLn#tUcVcQZ;ktQi^V&6CZ?5Hc=@C(fHyZVjYX z@jh$2>0Zvgm0r?-a0#y(f6*B|B}@CQrT^gF*(T6Mhws1pBwvH4YNJD}Dj%oq7A&b? zKT=W7&ZAh7*-eN?5dP=7_^;eN?GSEv{GUg&*J7D2SkO2OXio0G`##QKiu@b9J(}{Z zS7ObdSJ&B@@f&9&)uvj~?d$4uGSIyF^s7J5*us>Tlt-KEC(MkO$T~3WC4-V*Taf7j)6=H zl89;2zubF@2}L6 z+mVGIy2)}z>Ub?wGqYILfyFaaSdRF*W%_2CeX3^dQEU!p4c>r}%9H_!p<0sjR;Y?E zUGr76q5kJ)8t#SG9rqHR@tN*{HJq5=R0)7GWuhrV51wK#ai^UPi=n)z5AUw=>}g>) z;cU0nc=74K)wh9zdB^ zypk-VDq_`;^SXAiEoAJsZydV<68hfnj%l#={4V1%YQHC94IW4o2bKq;-Y{LzPjF<5 z0i{c`4+ue3(gW*M)Q3agU>|AK!F9XXCJNsK3LZb@C(nibDz*#vRla6H@;b{>pBy&0 zmKKg4CGElj%W=~1i|}E^$F7QBU;@1@F05Ct!^h3+3Dz*5y)IqhUw513egPnHjxWRO zp%}0ArBa=*r>ul;vn4FLyo%i0LYt9AnNl~g`R6#9gjPh9tp4kI#Q-K69)|?O6KUgV zsvcNvl)B&=aChf!uf;%D=6?DIS$t^4hb`UN_1=^jl_{iTZwshyMOH2^Y`pT;i}i@1 zWKB@jl+tHd=Z0cJQ#hK$&b4xouD|uU=wVcNj$N%s_*Z;)CHThwbjQ&w14D@9|Cr4j z!bI`XU^FxYF;>N@*`8d$>CG#8TwPMT?m+_M{?N31n6)#Ti9$Qe!s8eMx;j%vOpaR~ zYu%Ojf>GI+*co?r-f)F>c=FjBmKIr=PM6B0ip8iV%RH7zLOcvKejXn&;e-x(BIY=2 zW{;Ye`HK?0X;BV7E64L*1f2Tu9DrQu?7pGblEmQCmbDyNLIF*6t$cm+E|4eg;o?&Y z=7%=gNd--F_JK~@*e`*p9bV(YH}%r*=Igo8EKB!r4pUzjva@W_`f%llC%1_`-8CdT zHjGDiDsb0$>+DO{Gc^dilfR4Jm7D&W8P(n^xPN#1Nukh&e&tA6DC0vquw!-L!5X$S zRa2H+u8NnBGeSXZ&G%v=|C&}WPl4fjMfsZZ@}lkLMGl^RR}xUJ5Mv(L2R}LjAP-7) zS227UBe8E{W#e=EtyHpj&eODZ4Oe0eH^-<(pBPb(J5#YJB5-KFsm+ErH8o70d`tF4 zkm(q1$6k<$X_}SgcX8r;@Xyy7wZ8JwRGROrFD4LnBTETKSQ)+J8c9lnrA9o30K@i$5uQcL}h~hJO>7K^OBWgJ%BSp{_39a7C-5^$+?Ws zw=jgfV|D1&x$|Mo#_K(+qgyBBu>AB|hfoFlLDd+Fp6lkcr7jSGgK{@$WCS-Ju_e)=@fU=;K7 zDb!DpGlFmC0bOwzOZw;0gAz6Ken~ zk68PwQ86OUW7Hc!oXLdH7?_yuV1bxZl$7`%s$m_R3Gsc`2h^cy?CIP{<^Uhn$RhSK z##(Je{N8hdheQ&h1@I=GW|5XzEnNzob8JP2NPV}-aC|(1f5Lz6#LtUtK~QwDrMeIB6InphbH8t*Xza<~OTSHF0xApDq zGQi+_R~|Te{svNodgHF+ybyZQ!*$A`{)$~!;bVl4j?GY+_G+Y{-!<;DwRx?)A;t*! zP4$MUy~zS7P>fhX&4j(vE=n^D2z^@y9$WAZV6$>(%<*RbMJ4Al&^Kb=pxy|*Wku{qb9`F?7{)sV2K38Mw=Cux5=3j#R;F^WkaN7{TP&i=j`}UTz0@Xr*Ti31; zDhIUs9H1Ugvv3ixNP<)%X*CFL)-6;h*so7W3(sfHV0^F z79}rfQ#S|%l=~sZlG$)Qii=;k=_m#Kve4(s}oNERg8t=Y(=*ZD*s!|Aa%mhaBIAX~HC!-zog72ZV5!AD&{ z$?7}5Yqv6z5yQQ`c5+&=&mbkkpc5Q?hS@*clLK}@bSuc7W6WHw!6k@gn9h($)r<4T zOSxV^XiqG30O5xwU8NJrpf)%@*0>{)iH4ClY&dWq-eIf7$QTm2x72jJlp!U9aHHv0 z$kU^sj4W^!GR(Vr{+4V%Ms_kof)2uD%u)&ac(n<-ExMBZJq{PZwG2&Oo-EK?KHy=%77oDUl^~>7;(rUk7!U#?NdETPB-gWdQ1gK?!~6if$J4GwK*OW{ z3Uh@kcl5fs4hQcKN_*PgQ#u_gtG>Q+j7EMA`M6Q;7|N?+5COc-4>x5wh!C=y$A9J#FkQ@kC9wPH(?mONsWpZGq4{HtVH=d=qW?JPE-U00 zx(n8b{hp0i70UMLO~}8+LDGW-`mOGw((Kjpg)KkwwbmFqWaDSi5-SkNMOm%u_Ayeu zs4!_-0J)9#8*N{bqX{fkjiun})xJZ-9ZKiS2X~}wnneKRD?{n|obpuzXv0^RYSCBG zeA-X@!}5d1uoFAkPdD}-fr*3ynSV@xv6O?Kovjua{{X0S9tl&^p*S)W_|x&OmUX;g z;>@uukB(SbTN16^^8V~UKV%_ds6`g->)DGwWme)0ErNaASQVMyBc)dV^|}1o{u5h1 z){s@r#x6S|=9)Z&8hti@UtWGCrIl3a8DKMNDh%G_HER9m_C}N$)sLO1R+n1$;lCmx zOcM=fS8H`Cp*_L=ch5h%C7IUpXf(+H-H(Y!6Bysof!ak6l%t4ic<2Jg{TS`9av?IF z-7<_qpN4l$qm&C&O7G~>h(8%jEI><1x__H`nMv}P#-he!^Jv^k>+y^C>Fq8?TudkU z6a?F~hu^`myT`vR%o@Yi?E;b*w!i#O1q>Gub4v}<=^Rx>sQQbe2J>Ek-!MD{reutw z3}12f8a)I;U*klLPeV<9~xMV8!>sB;Nbnd(44N!(WMlwaJu|`*yhN z$#EL*@PF}6D9<(^ZD#=Q6%&J+EkPL8E)iVp=iB->lZ>f9liJWh@aiA_yS`jk?iDv} zkLlJ;7qn+OSc8H{A5z>-h?Paam;O~pDw_bS9*{Hmn}NM*w9X*XIF92t`$y_Wykq3R zBrCKyyx4wq$EZf2Uzqg|PlrYXRT+?MIX_{SR0dJ>+?>~n^K>u1oQ)AL{!QB{Ts(L% zKcm0;E-W*UNY0$4cm*9(>Uio)Q|N9 zA~3C)?slIXs#670g#eoGS?ALqY;&OC4uwG5kfTSE=V*|)-;Hyhv}2s(7H5Pw5l-yC z&WYqDPMv2mfWnNk2!@7b6Wo_lH@6E;94pxV?90mdytO!7)nVliAyO6S$)ufX6ScULPuHVRrazKE)ci>vWZ`$=lmoS1-yUv)VkkHfj zCM_7X)H{HTq9jvJ@rXQH?T@}h4D0(Cu_^?J{hq1ej7I|I`2<+hxBb#?H5oxR=bN=v(47>lBA44K^3;?thyzO#1^-|3dB$$0Y`|3uqcb)#iC zb>urYzDj(k8oZw)#En;j>x!J=#)fBHd=gnQ@B7%RKR&Bf|3){=%boz>3#d|sK7Mi- zxYpePi1BZ_HQj_gUgG!?AgZ4FCui^6<*EQj6)?^U*fHc@m7kmjo+hAE9{6_gI=sGg zyM&=fPQ8HQuD*1KeGkBK&}K|1;rieiTP-vUOzo-mncDF#-q9nVO|Ulil@LviSCHJO zY)>Uol#EjAX74QZ>9QLnfB8ToG7j54FN1nrM(u6MTT7~%GeD~L=?+I(X9KqlhZlRb zoh%&em`?xYFrfA~AbyKoXLK72eet}kS5s2&=xZc!U!Nfe5^g4mW1w0x-yu(d2Je;Q zEe|OF@&EUYj^ko)6-y3yU_krl?e3GWoqK9vB6*dgrx8^Wt3R$BIN7Ve*APsjZ1_-FN=(?Hkw z5h=;ib4u>?CDcgl4qw;OL`&akLXe%MhgYat!`_|zO*gF0Zvc)fPRtIzmJ#LAexk|m z6Ki)5kbJ+ztIJ66dEs;IvbC=24u==LH!oXSQF{W4cGi?)jZT4z@#ajub$m~vs3%J! z3lbnDwgpkwOjD)ylET1{(g=d&NQ;zo_}}B__kFJCop01@pE+mkweEGt!D=t%n)lAPDqe?g zA8Y{)x+Q+4n3_u0X~Qm#ue>iln)UH-a6mM=F-bW^L|!eQ`Yd<&ZW3!)2G!{yk&4 zoh2NXjIC!+7aOCCy)*SKMy|l>eJ038{E7tUpgI%N2q~dHCoN6_L4k&)-NU#+mQwc@ zq_et7+B-C@@=XDm4w4JP|CR@OM8qo(QiRoMva5(*`oEd()bEljk5a?(di9|r$}}nw zDA=f-mjF48t1weF+zL1TyMVOQw;lk&E#lK(dFufP4zET7K32-XtI%?=nwdT>|G7lU zK&b2U08y{B6cCj_f%u+$fp}?O1FTA}KLLXxUa(N|8NrDI%(63PyuHLUQLp zU;n&VOjL=OVgV{u#R_ruVJ|Wv(Yoa^6k9a7H*T*cbQL`hwJ=oDw<2X8uy-qKRz<3*LP$HiwKGeb0Zt8xe%dUNgcB9CmjB?|(+wXw1GvP50FLdoNk(thz zF5+`T@CxIO_SJi{zcQb-zbg>C@=kgo5ji%-m?Gr1FhIy(_sZd69LS#lmL0WR9|B&w z{o|8l80tNt?EAP{B8U`QmR^~$tkAl>(Ur#mhJ)- z@-J6B)gMW=kvQxq0n5Y)ZtlrI-bNLUWDX@*weM7FM(F1imWY8BDjYv6C?RcrLiUnc zuOxn-3X^_ANKub(ZR%udHM)}tOb>cyxFVy2#s4-YE!?YC87ZR+-+R39OMnm2K7Wen z`uOjrrtfhqXL)6AIKWHuXJC>yHk~o@q&veXY^7*u@ddFH@@kkUmrpn@cj_d0H1$IB zOyex!tb$Tbl`o**o~&p;ouE;E?g zU1@l6gD4Y7G%-AMl+E8i-FRYMzyTeRzOTqPh>I|kH%I6`sco_-x68ag|6d6KbS7rp zpnFM98r(crnK62O@UMRx#p<3~{E0}T3nuxSR1%;XKzOcr_UWvgnl*GlNi|S!eBST# z8=rC#uCpz1?_bfS{le=`#*L1KG`g{SFL3*uz&{zOAfk7FQ@HmD8jmG!R6(e zU~TG_xO(|jL!R0DVU})2BYVj`SHcKv&s-E3bWbqBGIB! zA}5#;qI<25KRdVT716FUWS;s#)o`Qrw^@mY7d34ko-*-WQC|(Wbux!fX?4f$vZpLn z1nb%FUkkG04}hp5X?g__-1xRzX3ee^8PdT)FW3hOg6F`SMg`uq_cC7!o}`!DNleRF ztmb2M5|gGm0m9jnXb&74`BIHc{ZU3S)>H?M3ddI&&Mn9zc+*^41Bi+P?I zq?fI&V|4fYW)1hsR^4xk=4dDC%&sA$_Raeh!PyroA%BY~x_#+mO0J5#+TPI+Qm%dJ zCo|Qi2h7G_^G!Ul&X1mbh=$J!`=9*U1ep4e*9TDK9&)v0W`)gD^~oo>k`5Bj*UNj# z$s>q;$hXoIKbIi1_)Zl1QKznKyz2$#tIxZC9=ps^*qb=+@VqyT6@3G>;rfm|eIYWa zQCNc6{HKma`lv!69po#O z%H;KR1l&y7j0Gu4$18K+`h%2K1;HzZbKvl+doDw|urK$W0%mru%HN(7F~!rZYsPsT zf2fuzg)k2&v0P?H`J-TDE8c5^Z(RYbZA&%Z&SPEXX&LFY)MQ(A(AS>cx>IkuoF?CKVUz|`B#$G=Xox@-F|D`C=D>_>F& z?9z$<3 zKkEnG)-Elr^U?x?tHa+biPlk*x?c~*e>x4;iVV!px%bNXIFCRmFXg{CQ0T5yL^7M> zYzG%`xe`HudE-IHuJhjm+I@$gYO8(AsC}21lkRO;`SGO-ja$r16;10Uz1xPZkJxo}Iy2cEdgEL>;=8XJPK& zj(rvygppHpU;s1ec1k>0PqHY2%4Ho9M1|I`Ly6r@UCDjKqXyi*ur!WmSbnIZbt9bQ zeHyn5g^;cfjw<{WCz*Ip`TWR6T#_Go#6*f_i-ywK0bRo zXTN_Xj?+m8Q2VuJ{o`VR|I}_GB0=a#c4N-h0>CPCe|3vE{!9?pXh`99zrO09IcMU$ za5`tI$S?M~da#RqvCxr5Be!UlY?fWUv(zuWdPP1Bg!?=-2Ni4BJO-Z_G`qSboJlYL zKpJqYWs2#;ijv#hX!j)t=2T0cSvv?Jr@$&feWAN5aWbSROdw((Ugx^M-1Q0Q5M05q zMyC^xYli!peJhN=gp~CaXg8Z5M@1>VEyf3Wet%9r3?xKD!K!5BweRg2`KQU>UT5a0 zS3}awUeZ@{Cum-jiqIlM*JuaG7bu{^S@drLi%_#asHtW3Y<(8V`Jancs-S{D{-Y@Y z(pM6jMuyZYRrFv|pWwVjQY=Wsdz7QntXmq8M%sk6jkmgF`#s$a|M0CYy$U=LAr&GW z(aG{Ry2Mm>&}^c{lJpGPxzPG53Z&`En^6+aXLJ%EPN&sg-q2cW4~@B;fpv9vC_u}Kq->dw;WMnl!T>;cgrPWCug-u@g-0iL_vVx1VjI|a}!eSvM zeK}h>*H+&no47c{)|b!~4Yq{XMblMVAfjZQ*X>heW8}CW!GcLJMOEpgZ*sgYZ|Rsm zsU|vD)B97t_NVw;kD9}8dmbjArFpC4NnMI{65375Ovwa(n&WJLb!ZZ}~?>#cBq%-%~1uEO_0=cNwdLc?4r_V%` zoJaFZH^S6Bhw*&J=-YB;S>8O_wk@}?=BGeBbCR84Tn7B@s-Ru}E#w3 zcf-=1U(BxZXJ3I1;beG+F*I@S=j_z$B7WlX+Mn8%?lhBLf%(7L)lNw&h|8AJiv~N~ zGx%bPS`-6CN7`9!`aSkeu3h&lCs)Rvmvt}9w~vy%1nQ-XLme(VS(u01A8z8pXjgy|}lSJbPMTeF_{;DFcHClhV(k-2xgnZPc$VLG=<3PBL*XGe=hB9p=IfRi73n9-fOw@4gf4xR1XVy&#FF;aj9x@Sxt(hoMA z9bAg9O#W>W54gBoaBCOIdnGxVuw@q)=P?c16=WPuyhf(W*aT&|<+Z;W;$+D&R;>YX zc8{|A-YPkqDC%RMEw(}*s`KeRG4B96TIr6Y2)T73DS)NrY@AJ1=(&{_GhMT`xJiMH zYOJCaBuJp!c=6@i71(s`k}CbJ{CtY@oJSq2APNjomLEi|Gyx{3(x946n{DbG0(oB9 zpNVvm)bYv!Y=KYhJqpK7PoE_(b)_zlPD+>?y)-4Fxv$>O$hn^JspoT-g<916!86Uv znOabx^{Z5V77sV5&v;!M_N`bAboP2`gmNeiLfENOWZ278XX18vGaL?h=hog1{%MrSeUdYzG7o4wKQA z?(0?}M0jgrt^b;W_cw{A;ATh)e*hXr2D_~2T0ajZ^|ViZYDyMr(F3H&I0u5SRT`3$ z(aYktH^RUKMxOl~>&!O%fIwAYn|a{pM}A$5mH7T9GImXQR1WbNRO>`1g2s}z-b{f7Nrjs;wsFzTB!77k~G{C;Ku!{ zIw}1rvCcToI4&2%uV}CdL|l~Jw0-oVF;Wy;8Sky0nM1wZ_YZeS*SLngigt#*-lTB! zWsbUIO&;nB4R|XwtGv;WuFN@xT;yK8R1WU!{70#!6mS=866}@7)w5B@f3)Nb%|DyJKxPt)6QTGTaxOz%XxIXXH2wk>b448+pgXm52JB~RSWG}rs8{ug zegp8mcUv6wx#`)5jJBPXrT!R3`>-7;$%B>J9*#6DsUKGd{ zy%!n8u~3(#(qy&fa;0&@kvs#s|z)b|B; zrT-(d#%)OheBO2~XY8|gkU_1psV!uF4)v0erexg7vFv(Xfx07Ho}*!J`i>OdMi}E8 zl4-?KT}**EkDli&E%Bn?(SC%z3JQB0I)*DQ2fAdz_oY>iNRAF`z7^pAtTgr%K!yND zLI~6y^hvIpV+96Vhu@;%>hb&p#00_~bZyrs^DDp|IEFy4rb)R}>WvRGANzgZ`W_Z0 zlH=0z6)T)J$G)v3kDf8T-`om4HTsI2ixW(Lls{D7)lY!-yN4K*;fpHK40!&&Khnt) zW!QNtmZJ9tK&=~ zz7eymNcBmI#*(=+_hzAOpyp{qcA}@+3}1p0vZKN-yMrG8-wjc^m;uJKoHD1Y)S5_c zMlO@ickFgy0XTC`3Ih(#CUbUItO`vQ_OB~(FX+yg&lFd1@WRJ#LKpA-`Q+`;HMTvEYQ?bJG*lp>u`{_;j^_=|9ye|<77&!EEUgHcFQX--iDSG$vj z#sv3taU4Ywjx$$-Q+bD+ z=yDEJ+H`_W)SZQTBR;wxPsQ{mMeug0auFlej>8lLTmXE&z|rBWzuJltnABIwQLXS{{+4=((#_)A2d1A#g>kgDn!#D$k4tIG%DwZZ5Gg>9Ey!R#S^3-&IGZGY)<-J~fX(<*8Nw z>sDQc+iD~HY5+Z4p@gz6YI?k&2^OWbc`M*`XEiHrOH6IIl3#s@e*y01r9>JA3Y0ncpe%Bv7nIU9ntY zn@(Ar5zAc0xP))@itgGsgqnpeMNvk~!ijr^p66Z;X9}QjAfzpv7*bLxRFtXz-}hIb z={=|O0C-XmUY_nH7D86B-wGDax9)X7*m;C(%9R6D@8(*nDfAqiq%dO3f3Zt|7V^4% zJ2Umj+<%s;+${Jo!3kf9+j=`-Bp$VTZqban6YWe>)+2-KL|TT$EJeWn-tVahxqyjC zwZjBcz(d>WCOI1 z)lKU5KU78o0Wv(h&q!!q{L{46+X;VH*rqt?OSnNK<0lo@$z&&a3-{60081Q~mY4T; zOO-`(p6;^Wj%K8y?tT~=-PDWWwGB0;t?OZ@v59eV?1K{0*d(Zsm`(qbSqJEuGbol~ z>|z+HO(Q}L`i@h6H+A2zU;hIYDp)|}^uGL)!EqZR?W>+hU(l$3lNf*#K^A}mPhCY7 z?^-p4E+N%auAmn*s@w43KHqBNrpF)5I;HM8;}`X&3t&Wb(5ejkxM>)|u!-p64|ORI(-qY&yM?;)T-*{X4Ln>byF6$YBOsOIO!wsMBE*`kL2o|6L1cjfNA2u4wfqj^W9k6VJ+Ar>cf{({DPwXm(|^VK3QxawsfMPs$2j zPIl@*!Ylp}s{AkbG#B3TMEpvCNHV@x^n>Il0Q6zJch%ww+ET?8KSN;lV2S(jNfOJf z%xl$LV};BygM2ZshiK#v&G?FSp=7#y$@{9CC+Og{tzZZaDb53={yhl{XbCk|yj(%S zJ=I|ueHxbwpSt%VKGA*DVGs4d+Php8f5Ic#Y;gSTo8p(rFQZV)KC{?mtkN`?fA$f)tFOxiE~n=k`B5$% z=WG{!?_;KRun4%a}LGc>PQ z-FmA2@Z0iKi6wQIKmtyfp_u+twZOg(_Xoa@G^}Vf@kj5&5n;AH9sJk1Mo|v3qH1r{ zBUP#>Dw`&1$Hmm%LS__8DR2z@2>w$)fd_y-zBmWH;`q7!BRkX|Qq@&up$p<1`dz6F zrQq-zJe}ul_`RE=1h-X;#kv(*V zQZL)U)1N@T1fAezF`6eSN#I#C;=qT)Xk)3H%)}9pjg_;c9JR^!nT;%Kf|rSWY&PY6 zwg^K6Jw#7M+uGdy*UwL-VMNIGs)GDpQi0{TecI8`9GODN$zps;IbD)zSFHQA?}JAh z*M`!S@4RLXTvJ4#PT1EaJ>rp zr8)db1auJjx$-zBqpgX+cg@&<>A8p5*uzW?qCB#1Heq-89># zto{)2aBjhtVHH)vKtErL{;i`ihMz~8%Y?@tH}yv^KEYwoRl0MBc3Pq>euAY;{@d->BcgjsVbKrxHOMFO&#;_&!H9Q&7_IncYrSZnB(? zKHNK;BD7u!N2mU&pJAWhoXt}*dkRqzMGRt&FF&vUi0{Yrs}80LsgA+jI?T-mfO8zW zVGOf;rZf4aB%UUoMMoN+=NdT3Bh3C@%s}h^h;*K7_yAW;Jbx-Z<4s?gR9FVK%S)2{ z`(NRRXht70&M3;LS@;T+R3(;dAlta)v(hHAE0vN3fI;vVN4j6 zF;>VvZt*TB9arO>vo>9ZS&dpLbKZ~@-SUYU{o$nkJiJps9!(;cPC$<41&$ts$@6qMbW0rayM4aT|kXSZ1n0AW*-iKBQT-wKH5M_R2()U z$5AZ;H+T&4kCvptY^)S`%I6>8rZS5VSqi8FFLZ;-!w(EH z%q<5rZ`^4SDlY(Q*^|bw&-LN)v**ZphsL9}11tz)KwlS&o8&j~l51n-_`u`4_74o! zxfdQE5MbvMYS>pOgPk1HJzW^&*@sEQ(%7EuszZdxwQ)=(_g8KmNB^s36>s|E#o~WW zSLnIst&ufek#?VpK(_4n^PY}|}I3>>I+W)x=)hhjB;d$#C zj))>s0{*nUk{(TVQg#-?jF00 zoX9YOKU8LlXObdWaAo1^;U`UgvuHYQ51q8r#ZoVXj0lBMTjD3!P_MDo5JVY|GL~+N zq#5;z_A>H32(@nc2=RLAQkY%Mxugg8v}ftCcxd*vMm?84twn@a;n99}ONWtr`^BW4 zA1j|65AW5V^;b=ZuMX0^UZ6u+E35g;sGh;k7MCx^_938B(($6~E#OT=N;+XXCC@RN zjxjWkV~wYcePd|0Q?{F1)W^%g-YB9tS0Ct_5^Vc0g{K@)0+bMaHyAveB-Gr%D@onA zX7kw{TS_Ya!7-inQd#mZoZ7Hav0N2u1?nL*Ud-z8>;OKPVT6U9+%z6-!>*Nwk8b3c zgifWxK%%5Y))_^L9Cuk3>*!ncJMkwf@f!qvIU8Dp%}gjZt-K#~@}DN>_w7A~)$Xn- zlXdGNkJY7j{JD>ohR&q!FNZjhE|k-MrmKJsHYEAX(1TVkk=~0)=phpAJlw^j6$y;H zVs`*QGpIG+oHo{B^UR>$#s+N_Gi*0{6(Oo;36U|DxzrNZy41Q19oO6sQ{&g<@~^s6s5pwsCrNU<{z^4kz7dnu>b47#U9VH?LiTg0DkDV)rtRZmF2@nr7pRI z-{2<|h8EZKMNcu@!A`OOn9M(nBEDojo3}LW2_}lFE8|uMV@X@XLW`G!U>=@A`SIPS zRI3Dc;tQ8t70S?$}~i_i-06c0%IUganW)O@4eDSe~e zb!9y34Fcez3D8ayX%dVCK_|TL3tBblMeIBcTH7T*oWGM)4?-!BVq%KKrMuQ2)brW1 z+YZ@@>{pzBwRBQsEppD9lf59OR*g*z-|P9@2_UQSeHaUP4dN>B(W9`~+3*Z}9BLng z8?C9(Wyi1z_pOZfgqb8n@HODeQXyo0H3jn_WEd%Sc$0NsJSHggttnRt3WYld_KMlM zG-QeTannn}sF4EEb=3v$4a8mud7Wvvk$+VzyA32X)gF>8-8DR$S%;bKrOcrf0t%UA zH4Lb_YKX7_-H$*@P1@$v@4c>ne^=sCbhPfv0e#*=BqWj>{QU5gM!qUQrv}!tvh%ZP zAD-Y8fJ}mn1|N4Dz1ri_^tnLwT^y&_0EhNjo6JTkIVX12Cw|U2j_L}CA%DfMys4=k z^4eB6b7-&aGj%a7bh{slF5FQ`2~teA5^m*BT0Y0l$4a)PQzyK=M5Q;h&$X{^-j=JF zx-Q!F1c`OQ)vvO4s;k4^*~9ld!bD6YC+_6~?7U8K>%ml8JHec9ZtKU-zK=S%=`Ym` zLuO(ex{qZj*SMu-l$I)C#iKG&cK~;|bg$V3%U`l3&)Vx`L22ctJ?i^Kr3MQ^Qw8a| zSvmQCCk4!oNT*ICipFbqlNV)drK&EDRQIW~l_J@-^5uh{=&766v&t-dOcyw;oYsVG zsb#A=H`yK8LJk!A*GH6Zk$zl(xM>3NC}HKZs#vuE5>vwMoL`9m<6J}Ik9s=gs??lO zNlQwbT`_Mrkq}sfaBZ2ri3*kLs+-kuql8Orn`$Jzx{jeyI&)lzl_^k@^WW}zO3U7; z=9p4L!1wq%f&Xm6pwUoUjft?f=I>VGlK^jt$Cs;R*{9uLQ-_)Wfc{P(%G)s5?C|n^(gP!ggZb zfSbv73-PD&lZK3DVPVw7%j*r_u0jF-UOiv1jzLb{e}Cv|FVtypQTk#B+E)9=Up+x; z{@8|A$uzS&!=FoI@Qdy$&E<3}Y*^@Bc(LYP6+sTQL9CSM0bT3f&MxAG`cyZ9iP1Tc zYe_Llu8( zsv{xShyS0-M4oO>{}@HGQokoFbMHVZK=5KzPy`)dTP%;r2oKu%q_@w zXn5Y5)p{&h^qHVz&L!qXI#=a6V>#uxJLw|JpW?#AZw1fxM7`WOj1`*3Ys?KecZL-Z z0lu+Z@;++gon>vGg)a!y$BA%!{gBg1x_>O}{YIYNJUm)V3%6L>V7KJQN(=l);rE04 zJyQXmm1Ykb|N7|}{9T;rZsOSv+74|0V;NJU!P89sRI@#=k<9+lg!dhke~f+o*WNkY z7#F+jH;s5(Ck5{sNs2V&U0Z>UX|}=Px!_eaFdT@w|L9rI=lo0zYG6Ye+(fPY*;Qk@ zL(lX}!#APSX}L^F*n9LM+4)Q8XW$A&u9_iouM8_n%`yspXCy~dpyLUPLn&ncLV=K% zkgoep593#HMO`dwm6W4Av84=5+6CATHR#^f{*)jm20VN;=$Dy;w&wO#IR?u{=Fzl- zkVMq>=Ff326?gjjXX6 z8`I4f;?f`jg|4$`q-(=(k^ z95mShddaN3IjQOXV$Z-I)wm5lz1z4;ziU;6_^iivW}J#`jZo9BmL^_P@_nN&i*P<* z1h-EzSa@v1(T+UVm#2Nafz$woB4o$yyL*6v(pa5$>7;#D{er4#(ue3<4F5F2G&5Tn zg&M67_cWunBHve{zT{EL%jIPctrad510YIY#O=%X-L5RTOmLriLsdv-P&Q2bJ=!&8 zIl2NhF@Ik9ed2iQ>%>lqh>6yTp6`xtA4_+g3GMq((?lgAy1oefL^|)6gS!O(Sj7T> zUa{p-76IZ)+8Gh2<&WDY|8_`nUGthfZv2H?*4~egbp1=hiKEBW@lnsl8B} z$5r2bfIJOsFlp~{8>1T(kqo->QO^mXuK`k4+ctcpnT+|w5@d6!LXp^j$|U5UaTb_| zawL5D)2L>w0m$X%EY9CVdKXCI4t=yh$zrttt7rn!g#=ph2TN@Hp;82mVw3Kld{Uyr z>wx-?BVlT2US0s&9M$aNichle2}pMdg+?UzpP9O>*9gvm8wtM8e4wQE-8}bFx1f}D zcUT*XbbdBr+-+4uXpPUn?GX_O+4xl2nNK~Vp38l0l2)tlnBw-L7pzSFkGPu%bbP$d ztD9%EUIM!hkA-%zx*_>bM<;A-#qLaZVLWk4ox`1r01sjA-gW%q94@z4zz5g`ogFQt0R>bTSc;?m{nQovhox2+7(iI3mz2B9OaEH>9}sNIHfh z9Uv$+v-Ng*H1=F1AhqVX+hDJnu4vYM)T3HK6_SNX7msXKRpv5*3 z6}2(fj+_wvQju0(9Fy13v&psWSvTeVRU_qh-=3S+Dlfm5Mpj%XYYGPp`Ww3MzWsB&Sqm+_pq&j^=_S9CtwU4IC=6Wv+CS1&K8=f=i*B`7QeUr$4h&0aBGL|fsiX1#F{FAt|m3IPd^&csw2^P#sC0*&8$ zhr=e_#!buPwZ*%H8<_2}r=EoI^zEv3)g$x9K0=|L!QPNk8nzTm%m{X9; zKs>MAbB?PZ2i&@rP-O@W{UUUN80H>LEQ@0z?YXI~Rd|<%eKE_T%}daRqd&AqB^?&e zDT=YvHooD1f^Z#tO*JBNS|-mxqva)UUsi$^g8fgQDop{n? zz7C3dZXhLzD`ZF}u+ZEMm5F1P6Wi@%`c7q012QH!_}w~k{+iFl*~8rtE*sY8Xb{3S z6|Zm}#83H~`tdmpqiG#Q3mG%<{LFQaaM^vjoIx`f0(d*KV93=WIqw2|&KVx##iwDqZD#f3gkku8Ru$dtFTt6rO!TY3Wx_4>-ejL^A~8YCnPNS|8sIa(l|cpDkbjG>u=_bn?qTkl z;FIkQloYdLsIzg`NprGNO*!XbZEg0@%Qu%q7Ff4q{a;55MsVght25oF#XnI~fLud% zKWgG$-o8UjD0#}qL@W19DCho0J|TfiA_-#lxn^fx)Su6rMB7&7;fyG%LR8mLsRhHf zU=8bN2FLrTOm&*qIXeS5Ix3|A^S%zalpk)5Xe>zInZFWYZzu(4NY< z_IgR~b4`!5rKt$~5E$98E-Q<`_-#LR0)7AfTDlohlb1kvTsGnq79d<)1oj_W0VqvkzWxC(Q>3(FObMt!`>yy5yTH0IQ7{m~7qnUYJ*0 zr93Y*N4(urzx!_YeQBed)7@h!#d+oW2RvSxuYd;iOq~S+UoI8a-Q`&;q=4CzQ9c}a zqk_r)b$9T@=x#y0yQS^#t;wc80E###6^ft_+tB0i6*2oN)KVIRLcx1(63*=;=X~vkN9#C*u%Sd zw|j(h+!ym6QH2BC`@^AkhRF60)Q`VE5L>+ZnTyq^KSv)ncST2I(u|%*g>;VY9jYH* zDgP;&?D3A<#FUrB+(G{+(`pYX;v9;1idolsrG9-JAm(Kj88KqMg13)H=&0-ql~Ms!j42k*Dc^ZY;@n1ZD%&GtAYChKA-H zFazun6~QrEYIcL=5EarbvSn>YY}`T=%+Nsjr5rRH^nVthlJALR$kU36kOmMB`e+*1 z(~c9OPB$qJM0~tK3P^&Fl2Qzyw<~zwncpJc+?x{HR(@Ek;q|uqZFOWdcJU0e$(@}H zOlYQ9VMevt#ooog^`GJ$Rt+Hd0CsHxJf79L6aZU$eN1tc_d zL)F0GbDyZ2GBZZ%@>kvLKp$?G$_^0@7By1~U?cDXKJ{if4z)-3b!PN2;8N5au+ilH z#Etlf8e66zD3x;e5r46UcmW41N* z>>Z_{?3fGzs#of8X-oS@2Lg7_?Ov|I4qc|4hdAixUc`x+?uL{`YEw-!q4@_55#ZW6 zSk4K&KAu_0cIk+*ygh=QJ8=_oO9u6tQiemy1;h(UFzKUF?;Suh=U$T8RM7hHc*kpG~GHpZZtFHRD|i#EG>9Fn5qV&e(QkfS$xsN95-TzhEQ45cL^DZ%8RCkr6B7~4j;PoG!@vGLKvC=suM3?FTPYqm z*d&5_;QKSnVsBs_+=_}^lI3FP-UURCgI!95N+u7+?a-#A5kD*Y+wFX1b>ZfvBMIM* zADCDYsbPxkvWI4=TN=#W*6z7ai;F3;o}-hD72`bp&F$fR!S*RwMTK)p4N=-sf?al& z>tH5-`W9>0H@yR=cjRir?@&I6KkdBDJc%M(+_$4#e~-OdX{~Ge_iQ39Rmd{>G`#Na z;>fYvJ=doghxe1W8^`a$x9vv=4zQDOq*Kyg)Hk&Kv8EF)<>?|{DdlKd)V@yKa`_}J zn>#ma6j_VVQu0A)vA?I2Mr}y{_4NT}CZLoUd%J|0G5gH-vwZ7TEEpTio z6;|A2ZMNBb)=GWRBPr+ERnZPIo;&l2UJ?aSoNmSc?!nhWOgh@dRY*}jRJDR2#niKe zrGO+Mp3m)$CB*BlS4yET$&Ye&;!;~_UIksUhNto6Qd4-3MiPG&Q;z?{iO-pDbeiu* z^Ea;5wqbMHlOn0Cata4el%=|CDVS!YuJ#d>y`?9yB#*$3GG0#IZjWOg;Cj%iVZcv9 zNdZg+1XX9Y+}?7_#Ew6i@-B?ovVx7B(=a7v( zPXFBd(#F5mnmOHcREPF2&d%Yjb8?ZuDliB+8s+0$ zB_^L}M^rqOB4T)6X}xGd{y=cGS1boP#V>dlhuxFG)q9HtM6Gk6)#hyK+Df4y3etIb zc%p`3Fy`|LZ-iJO6>*bq0`d0@6oHO-en#jBPU%Qm{^!M&xt|*Itj#t0>`fU5?e9{C zj*|?ssArl*7*m&I91)xNZdHcq@8+QIIVFPAu3M`+KCX3r)QsY}X&wbvZiOzJCIk&` z2F{*TdRgc;5>7!_)F~w!g(P;iHCN@tWhFy(Hufj5R$^MPx-@v8l{Gh7J94I)e5brR z&sE(+#uTj{tP(LXlLV5^|5$9N3m}<$jQMrx@6G8r$D|pctXlv9MvXe(;5A4QgSBBr zyJd^GBy>Zhuyszs%Ylmq+``ubWt3&)zYs6jwhg$Z?gdO_Fn5pJK1UfFz_2iAaR_*( zF_H376EQL@%ox0c+}%`6knZecesj`=P5rTfLRiVBFut22B8E3lD33?-)vu46*nv^w zd;%Y3$sQMlPh{`2xe;=x#gwO3edF^AnJl@X&1E2Pd3!)hYghefMq{RuCzjQQ1F0pl z7YSKfNKk{RpQGVY^;F*0KtGUKYKR6*d4nc00PGOT)M={}?Fy@C3A->Ygg9Xw%L~P7 zy@&aVD$GaoVJ4p>3nx+N4$s49k$4Z+Jx~&r2QP+jPs!lH2kD(xtO0+o(dvQ(%;fYEJ<8&M13N*93FyJ5a$uH$G5<9 zk~w2yj7f0gDzJ%%y+I&OK82VDv_XPQf*D#XA%Nowt=l%RJ0n&Tdv2%n+N(qFPtHjS zWyB{oK1~(M`k$gdzw1SWh;#SqY+%a0D4HD7MQ;4L^z^@=g3-VG!1}JF^AW67Op<@P zz`zVtSM4}~sK-&^W_kBs5}G{*rst_Cy_M@=lL<6iu`#4J!}+8}M%k!WQ+V%}__l*E z-`6LMy?zjLF>O%hFv}doGX9j3;c(2^EwXF0n%8bt(O&jk0Dh-C}*L&F3|!V;t`w$zD7t*Rp4GxJmG z?Tpb7SDhU6(JM_FTQ7b)l3>uDwA;oD!YG1ukLfL5kqMP;isJWW?(ybH=2%OI=_^l@@>7=R2V}~6EAjm7ObTJy9f)R;sRI2CrL}xB!nEuB ze4PC2Ag$TcM6yWkf0aZrLC~%newvQnTT^~(KV^DUynPo_xQ9di_?}mYX`!+s;yuB1 z?o@czaz3V<-;-Xo3iPt?b12CVTb={%1vUcO->mCiMQxd#@x}K5e|g95b#%we4vB#K z$?UxDktbl8{}2}qHZfr4Vr7@)$md9lrTH0S$?uoT4eaYh)^FPyR(l=A4|HGx@X#R=3JmmW3&Mkhg zZb^FGDU4>CFXv%ttkBf1=ihPsh`h)=l66F}PM{rbU3K~WDxIwWi!A=YQk99BhiiDO zz-i*DCfbGN!@FP8bX$?MMS9JIl)EXQNRpz9qzpFwliM4-?Yl>s47u`Ruc6VNhkRZ% z@fBXg#y*<7zx{Kb_k0K)>5_XXk91j&q>I}-6UV3TDzNDnLDD>?q@|(7TO}M3%B2#W z&0tz(>2{0Lj;C$aeb2WaMs-Pg>4k`#4|fT$_v9~n*YjnOADVr~phC0mfed|}+lAqjcyuJ*Ss!N2Mt zu!kW28LZJv!)zGu8z~kZy(^7M$dVU{apIS!k8y^6i>;P@p$1gr6*3t?HWkP97`83r z$H>ho4tIs|=y&duUTP-Tf$1V%5?i>mbb6jy&FJn53nr61!Dlph#;w}v&VJujTQ#JW%jx*V=Vv@rG$QQ2o zN8{S`aAa+~Cc_&CV4Ed-p$=m#B|D;Xd&&V91r(y}q(WylSzY9vykft;LENo*Q_qnDW9S89^5q#6&t$+;qE(l<-Qp%%pK zvQ?MQa|*UPXp3P^LQ85LXT6si_vo+uV6!(n|C9`X-ctUErCG;}_%{6DigYcK5&U^y z;yLsC8U1v=)YQ)*hKE$fpWUrz!CE_~-t2f*dxs6|NE^_E@Zo4V_Pm0yXf{&ySvZE8 zQqVv$>o~D0vAmD5Gk$rDZUki2C@b~J_=AAa>r`R83Ik>UsE;t7X0L}c%O-d=x|x-d z7&Kt56_0qBvgnEG5T+(EJ)78+c`HDxFSbfLd8BrdQu1#Cy=c8Krkr88{&08`ks5H*&TREJYsmN_X|E&jFC3&ZhJ@8K{9L|IxsiN6`NB zEIlBP84sQ3hBj%P_fbnIx;e`KD?y#vDTqIoLEb|vrqC--N0m>q-273wTbqk7yoa?% zNK9M4lY}Il?WH;7logJn??C&|D~*JYgnP^C{ne%fv(y7Jy4P>RgC3cTW>?d8YHgSx zy~c!3fTN3XES*Y~!T)iHW9xwM33Noq77LB6I*t&~4+#o-OP@+~;yB57>pnM^Xq_UX zJZ2d!-Hx@d;t^%<5t@tp*m)yHef%J4(&_+Y75WO!5p1jUAiKUPfR_=i(?n*FV28%5 zM2`ZUe3YGen}Ut5CCvr;b|V1M0v76@M_pxdUcj*KoRWOalou%^V`&^9uL&7{QjCh= zqzZ>C*HlNx>z@^*ynW0kmN`8(UhK#_s1io8CZm+~|EhcQf2iN+4LC~~8q5r380*-j z?EB8xmu!_vWhYrPD*KYg&`_2bWy#o8q?9E^j8T#$ibA&RC0p6`+;8=HzTfZjA3VSG zsxaQmeV_ZB>s;r$f`j=_ut{%p)Uod0vD`VA;IsXH^{FFr*MsMCMvXn*?sG{7zry@= zVDMp~bz98RVdG@jz~hM14o@QW0INOaf@WS~z(k!prt64I8)CSW=~wtkOm_Sn7Q2*H z5p5E_&9QxGP9OV)=r=zzL)1>3GXm?e7&ux%I}C>wYLHty+{|Ruz5{#`jO5(5e*fqJ z^1)s`@8K*;?)dw%!6@XN52AcV(mT0C8H+7Jqopu3-@|a*1EkNprYyo1B=C%>g%_wsn_WN}A}d*S;iRF*2Qro*}ClQG2&-kt(v}37{Wj$6g3V z@Pa$Rh?>~(JVc(J^$yX--@0{Xy~`khvwui-&;R%Ox0nDYja-X`b(iF?&=tI$9UZP4wepGV>Sy0mL8J46@> zoqfC`8ezf2vBc_}B-F)2XkP^SExO@$O!j=ogSDUKUNL&tBYA?Ol6a`ol;eI-2X0eH zTI$O!-$`{VW*^=Hs@ud8U*`HUq8Wpwaiy#MREg%g2v|^b^?j zu(P-;tCp!4<7v~O4V90zxfM(ru>! ziBj(R-N-K6>o#j1`T zs#LVN^UJe>C)suGubxq5f##?z-N(!5SoSShw$FH`6Uyp&ZjA4&`lnNu+D+;8{U z6*uRV^K-!eaX%HTDJ6OLPwTQlJ>O(&fpyeHHUljt=wHp+wjQRjon15>JU;~09Ym5Hx0H)hZC6XByk4@eEHbJ1tiztQDD=z z0M`ZJ^qiWSs3Fg+aVArU+N0+BN&pzYtXs5MHnt$_DPy%!fP@<^W^08!UG%;5vJYNF zE)K_NL}?XaDR#M+{9q`@tHRQI!?)aAmboB1?UN{HG^0w6tM^45FMO&2=*8L#-~7}8 zfAIV$JO?us$DAe}myp&L|LOSx4t75ismW1Zv$`DJg?jkl&>WI-H|yyS&>7NN=|J^7 z2Mxr>fPL-Y@7kAwnuE^H*8oXG+Z}!dA^orHDwBM!S%^LzJ0xPVq-D^87+w#X!<{-f`z)m? zBhgRY-&*Z*^)gu~TtFL3|1>5!4~LnDeeug> z9{vNf={wZNJ$sOT;p!K^;Xktq`N7YAhO*)ROlRJ%$YlALlzpU2>(?Tfh%S&c%PJj# z5bQ^1YkpfW=$-?{I5fC8l(@Z&<%k3%yLAup7?*0L>h~SGlI$89x>MSPfiDVl@$EGf z^H5i38kR{C5Tx&f_x>Djm209=ET5p`;BU$;i?tfyDo7*M(nh);pHffWRGCAs_Y57MQ&bH#9j&b5aK!{Ftb_- zyxG2hVYudOwV?B6FZ=-#NAImKI{wBshN*yo*fZwpr+Ql5n3q0BJwlTqF|NRsY(y1u zGPf}Bam~d>#wWa%!_KO!tB*gHj8j%8hd7t=cRzE^Qt>@5JdRItgWau$P`k@yD>pD|Wh8(OO#Lk*VdIAGh; z;Djq@vD{m0zkQs_M+P#ZS`_Y23n_g(p~+EH9(Ju_>D0AA;;p4${TJFSX8V$ezHVaf z3(q0er#fnacdp1!5g-F+{@%P-4m8-I{t(8fIvfj&=4I3`<6_&q?So!-+6y_j-Q$A7_1D_{gr_Nsn<2|4o{RIJ~fXO=o+3=Vidp z-`AUKia&voUA3D)R`a<`m(OX4zki&sa4YMIqfEC*xs9=GpKZ_iq237Q59q-St>LcO zmD^`_caLXo{B*m1V?s~b*rFkFCp7#tuyJTb&(hv8pT{{R`nmF}pxZ|tUa9S@7KWuK z_7!i}($d9cLar@ccaRi%miz7<+V#M7Xh5rSw81-4idSB3bSFmTE73>QyFtrXTGs>t z3d@(e3g&HuBK3yE=BCxt6lK1g)v#bW6=oEUe1$XBXx?zuEp*@7>YeU(|7lj zjhYLJ+rj(XU={w{NJ*ZYdO^C9%XP{KCtV>?fEfvV9SY%HfH=6Of900jTFZ@zksEel zGV$-k8)d>TdGmor&8vU(v|R3>7j(gilrN<^c>g0+iKH#XL$7K}Zfar5X2UWzrp1Tj zN4|aS54x=_5PHmk&9Hln7ny_@f+jbTMp{amYRDQ_{Wyn9#Xl3?sHQibIvAiMXl3hx zGt1KoQ}(!0BrW$PwdQN+k%#ABsv8+#J1^&e7_ce;C7VwG7ER_VoiJm92_?Z))%9Ut zQLie`zvSuPNVZbUITP%YV1F9qsl4*7-I4@Lxjc&clSHxCGj3D;mLsJP51AIs7X};t z+2@`tDJ7zm08f7bUp6=C-_oZXh|05)4?4)dwHZFJ)mYN}b~uwI>=3A%%kO?l45F-f4^4 zHXe8t5!RK?ozRa5R>$+P#Rqznxr(1%+QwpavY&l7Lflh8`!7ft0X zSRq}6NsaWVHG|Y=r@AlTg!+Bds6}9{GJZ}})?~HM_GCwqZC&x?ksb~MuiMs{U*;pn_Y+)Ss%W5xG*9>on+; z7qxR#i{YgfCL~dd>;5!0;_&L$(8{cwLBq(w6_-@$7>T2l=j-Qy8!Q(Rw~LkcwzBAD zU4zL4T`Rj@2G3&n3F%~%$3|^rMll2I6lj8gG>`iK-scIgRJmaLS!=1warw3#Ro5V4 zG;Y^*kzroZuEV!nXG+ifwtu-x>Ej@O|A^)RDV9Pe(3#z0bfWZ?Nuue9#y)^T2NG zrp^L8)6=3dZIio;3zeWDXT~{34DHo2iHP>9tlwu)ZFb{9zV_PeP9?x!p1$76i#oRI zvl!8(m92>h&0Xi)W{6XW6G+DBrEsBemr^d~kmmcMfFv>;w62K;W@Yp1Dx1Uk+5V68 zK3~eUVLYS#wA1kwND4_VlYnE>viWQNC^!i^1plUt2&Mp1!q^9Mcw@Qn(xzBQ^Oj2>)S=ZjgbWo!l9o-ecmqL8UgoGu|4V1jlgqt zuN=>gj&K$LzZXd`^1|g8zUJz9cezRSLz#lO(Iu&lkIIqDWFSxKDqj6-D5?)LBychP ztkiSoA@P^PTrI3?^Ygi^&r7-pxeOV7mmqg7PNdqE&g-6ppK8Y`Pi21>e4QBj8ou&g zRWX$dKKs<^JmIo&ZCkC8?pA)sFAKXS^B!Ql2lOUrWIZU)Q5YX>k{e)_%HH)2s{x#z{!+pMsMKl_--{QQU^%r zw5_28WZN%bc}Hf|m$~U;!=ksY&%aR@%db!|c@wZBpTNBUFt+KA{C8tbnc@>4(&Ga; z+TxT3)my$i$_a$9pO)3SG=TpQXf{iyr?Wl{MGnafF%hkYxP}CVj-W!!6Be!>UFnLG z9==tduygHmlcp=sQVTJ=&Cr?Y8Iy@vXUBQU6;>A%2!A@4PB-my{>J5u=q`1{#&6(k zbE9#4Ql=^gS}}44EqisJkbJxZ-xQPcHC~#?%TR{O88{fJSq>!s*~t5&)+yZV={m=% zeiz-thYz3GCsYx9*tw&Xj)&38IZ zRlRa<#%$YJvUmCwj(=tRi}ji_Q3N0QjJn)RA4^BMhf~~rNwGuNA&ii&z%1%~{8%mj zmW~cmd#h3_@H3ZHhwQc@K)@tw{u_=;6SWAPXniNKAWqsMDBqb;UN~rYWA<}VlA-k2 z*HU{`_Ky)Lgqk?(Bb{rDPF>a}-D;*dkt{f{b^Y>fKYuXSRzPQHhJDoAjtAY!vO8@8 zf7aX9ZTrAOpur(P5}*^)c|>JK#wUr$F{6^`WYHXBwPyU`S%(ix7l0#zqBh3Pf6>uN zQ==p78qkm!hykk5cGK}}?*5BEXKO!jPlwq3){jgR9V8<1?H(j+6uMY?Zlf^ zm92hF(orqqC8%kjhtY9H_NbVd*9A3k{6o>x&D*k}j%y0Eo%>t5^oP1M176k%)XLO~ zi&&i43@V$B4Rh?GfjP_xN8gUmG{!%;jv)TT=1EOCMx*x!AB0`#Vw{YIm1M#aQOcFj zhH)i;DPZsjj5~uir+7;4&Kc*JS>za~GoeP;eJr$^pT1To=m;ks!OJ3RXI7mm=XK}R z(yR+S<^G&T1`;RmwQjg{uL{-Nv+8A9!KjFRRHzG9RzETJ#gQ zqJ=gc85j>&WQ}T%e!aaIJ*zNMz~$Kv!eT^ z^IkbNNieiCR6Tn6QcD`B@I$J>9!iGy75>-Vf}-e#J`+zqkAbF*cxY|Y{!xEf5x|u( z@G@t8on$3V$;R=UiI&u>B7KIkON%^V?w}RXZ*)+vb6Kt`VFoA^DOXk!x3Q1wSCx$IL2n~w zF@#9nZs^+&0unk@6Vj93$9RzG0z=T7APWSLlzx6fvBHfWA&P<45TDoXft+g=J@WYR zXX!H~Y_hZ~hHX_9JL}2Gc{sKAy(Wyj=A=#;K5g|-S?%O7Q(+A}(jO%kq2 z#*lVocUg-&uYO@}!~Zc^{8r;ot&uM*RY+ zrcTG9t+u%Scsc8wu;FL<>hzFdBEEo4$U6zh=GM>V8WHXJit7`7(e8y@`*CeTVoPT~ z!VP@afZA-DU0_Au>mh+1x}Fpq$3d=RBzKd(`&31+GSLbRQ2kBjx$b?APcA_c-*iL0 ze=eH+S%I%NrjB{YnCD5WwXvw%ZKSilI5(ZuN<)v@Nn=YsjX2f!B_cM_?q5X?_w~Ls zJw3lMnf1{z943v&AIfRAb#IAu#29K9f$=AMChKCqCF1!wiVXy!p%2*rL z0vETl=9lb_e@>MEZ`JzyD_xR4-cG9`jKMi!ggbfOo(-SeCtQ9OF~r8JikRm^0fiwB z_egWb>aX`Zu3cG$FTFrFH=f^Tui*Alf820)8CrQidTFs{7YMIkqtN#sDf~$Rn8g1 zhC>GW(eSG1QeOD$eQ6FQW96v0@)NpfSh@^Bx0p?l!ri4Xc|1!Z)ilR-RO5F~W9#}u z(ZSPGrtcKb8E2>M6HimUWy;CNBI2PMv1nVHeROO5#X+68An@-CFA})PCB8k0pR?XG z`?}W8j{#pXeV~=mbEZvkE%ZV(Fbdi({GIGTj@G4YLru>`>*>dP(CLZDu!xn8u<}*0W?l zG$0FaCb9AIdA&!9$0YB}D7xbBi_*J3&MngH=AsJc{!E^cK;I2t^^au6oIa6PtdpT28Xbga0$+DNZi4+h-na1P z0gYy(WyKAZHX%#7_i83z28fe?Q3V zD;*Q8W$^LL$=EP@WCoXzl+Ht)#c(@_WCCrS}-Uq8gWdKKaSxM37nl3vC)oH$kLXqV<76eHf4 z>t`n(`S>>3dBn4A;)zUTeTd5T;*TG-4-bo3aB~&Ezl#P42LGqVMrlabla!|@7TKS- z73&$drQb#8e%?1A7riF%mffoaF-+_fGdmlLl1V_b)Pcze{*)@7u9`hft$&fK3~8Su z>=OYRUk5_R6Vce5E}T`j92cKYU*YRGzOK>|)g zT*SVOE&a6yYPa``HN7>?={8wY>=R@-V(PP19L5N*?917UoymPbTX}RCf+ac@_fAr8 zMs-R2?F7X7@XtuDBv=f)&bF-2aQ!p!L@!XejWzz+YHWch1*Q^k%G#biAS zU;i?>v0v1+sk-xu`ZuEA;Om%!ekwOU!ACcofAR9ublfEbK08 zRXv|TD2km={TX)&ylKhw#y6Go>uNG!-pb{Rr^Mwk&5M zx3IywAkX#9`ASy`BWP~z@2hi1cR}KwWp*W@Vi((D&I5g~@88gNECD(qqlJ`Yi@e$U zLH@#2B(g;-`C_hWoCj4c(%8W25Nin)jvt-v2&!ZcCQn(9X3HgW$HWwMayjeSgu$fI zZKvm4@0=}ly>k&W*E>gCNu1EO-7WzAgHx$BuYvg_WUxqega28d zconb}zudWz@mJB6a|}@Z!`jjLr&ol^HS0X@6xq4BD;=~R;z*ox`)c#0988L}d8TJ- zH!zO7BeA!>h#&M5W@Cqb;R{7c-p*R(YFsz8$Pj#UpzSIiKO^YsCO-^F#t!wXt=8hM?Fn%( zM&1O!i!KKqnd4n`)Mw{Pg>4Igyb!at{PU7xn6&z4OH3z2m0lNy?;PXdPa7I&mwR!q z%?@*aQ~oVh|5l_vkYB1xvDuQgCUqUJr35T<+H(Yc#=p$tW8d11)Eue{ZhZXfM6PBe z4^+L@E`i9WoxL}1<+8S&RWBo1)7hs=&n4qUd(w3H*Slnb%AiBa8Z~^s^)h zp5HwvyVXNECc*ql#u=n8A}=v8Q4u4B%2PF>3=-YO6&jOfaGodA#*bj(Qm1`J>u0_^ z#zpsrxP)7+nbu7A{|Zar@19)7Tit0(KcpK1q_%4#XFX~oH%?yLUi@gH8n^~zUq|2B zjg4}ZjBf_m0=3s5b34tb1@mF9bmoBE*@*lwhVm0}3N)JhTDCn-r?fI6Q@NIgn0!M}gYb3nq$IG>^H?!Ipd-gZlB3DdiBt1}!iOdY@V!@7bI6d{JXg&w3R^0wwesjZ!k1XkQ8Ai>4 zNfJy6z^(QqYPhc|(=>Ww%Vn}tzR_0}fVw$k(%4VPPqNayqq}bi%^|AjXBaGxIIyOyfO zt8$-yUBy4#9t;=Zh+p*b&Q+Lxw`0O6M!DA>AC?>z z8)k6w(c1q0JJXi>s&)e1zq`NA+?7K{85V zJShA!?Fx>KU~|!`R#A?@{FSE;mCcg3b5R9!!%%u`Rq%WfKyrJ1<4u#o+mREDTon58 z*tkPGgWiWuZeAa<$Otj7v715}9^y7u^Tuoi_)40$Te`S=`v^Q-{PgSL5f*Ru1+B#S zmw{Wf;l*2jzV-u!cBQlGEzhGaaAi`89)T9ay>mZ573T)&3xYy?$#VSInjw$-TQ&Hq zrWD<|vxKAGtfulIooS!ik9usO=pA+CV^*gpttQQ}&u%$=aLk zcQHebu;yi@LQw2kaMz4Vz>c1WnWx0 z&2yI(i)qXks`&n{TaBtNzYi;G5)fqHbui|D^CR+NG3fN6K1#e${9q}TFLh|7I+q7- zG#YZwg#dg9<9`iiwib=nif&%^7yRD7o*Wi8V>)b{eM+hM8I>qK$!$RWbWjjy)X8O& z@*C!ACHp=f3`EiTr2f8(`_~J;7eVw80`WKChHT&YUKDP;8lxWRCL_As^x53<5ms+s z%Jne*C1E8|&)aVdaH*-Xh$`V;aGWm@q3Cqp_%3g4dtW1g~< z<404^gEnP(_4)5%(!)#~s7YBytE}gyB#eZdT+8HHIW>l$7n515v^dbITn2(QXX}Lp zg1csS$JP<|5MN}e62n~A)haF*%(wiy&#Df*U`T$#Pgq?$sgR3i$dF_S$;L<5cm<3bKw?$ES|>+aozn53rTatcO|G^b zQrRg4t85%HSDZvtA|y(I(d+2uNKHFjrBMCsh-tQK9hkt|n^%N4!;YYML@ElgHw|mQ zzCPE=xkI=uDrY|LlewOj=-U?roChcv^E+Wcfweg>Koh`hzM>66P4d;LV>A>jesiro zrsCk*tIi~oxtC#UzpLd2Kwcjv?`G}=l0P5>;CcX<5J6jfrduv<8hmXm?YMS=(Kj9n z5G5&N2pw&TS^Vso*P4v9QMGV+3B+u=0qqA|-idW3*ExG{3~!57FylwdE7T3ahDVD95j|?W=61-4_JU1*>(3gtFrT{tB2zgfdt1j zNrMQYrj!09>OS>oTAu>y^tF@MauHN8w$7O*e%lwBe|Ky^8i^vFbkSCwGQp)A#OdOl z6Bc7;LVx&I4oUvRDj8?ro}J0T zvrG((5Fu9OF>37a?Y!TmL><@a_!)Fuuv?1dmTN)9chJmgV#gK9vgo?>&c zQlWslMd;})MD{NTB)-a@@FqznQ!-_91t@07-fP9O)>mwQ8(wox5GpUEAiBhgyHHLd zBC{cPklZS0Wa(FHEh3R{QPtbqr#~`XGPcB`$M1{P=?6onrz{6Ij*iwKDI!MBP1=rU zD};+jDrlFow3&#$@EQ+o8R#qhz(->cXKeFP`6Qp$^#**V!K*}dr{o-{^>rn+Z&roI$)tC~M2S>~G&PCs))nDJ`a?z{95jx%)ThLv zX7(;2EZqDN$Hg0TT@qbFjU^-L$UE&VOkZ3x#07jrIA z=HCYwu}ys`ub8YCqGB~o?LS`q2wPL^$4cY?(Y-2~XNd=Kzjz_O|JRoqkzy+{ z!0_yHVt4fVJ|OuKu1~T-9iRqer7AtnW8_KTy32mh)#OMs>-dehnuevH&lDrB->3c3 zgP(BYp(%Y*A7N(paTGY}jv8LKoRaUo$%aKI@Sn6VApATv|4WZVMR0~3ko|HvcR%*4 z$-s5wXIg*{)ddPZU;iNuIak#q+!TuJr~v|EAtm)~#O8dC<0VArB4PlZ7dUud7i`GnSCObo zZG5`^Nu!)SI6`)=6Q6LgQB&${L|1Tc7ynNm2etDRoPoWJ4KLf6;Mb;YU10Q3wp$pVA z&L*@Whay1#f0%!eZ~?mo{|f> z6LjtCqMt7JviP5e2-u742nXWwYeXZF$NiNQ?m*m~*NO027gR91KK>0Y`?U14NMHvn zF()`6=w;GvgU1liZMGD3dciip&;#u0(g(K9&rA(f7U1U_dNLIX68Ez2 zzkb^GYEQa%=cLcF)YcG|c_9~uXT&`altzw>o+-k?U?7gd zju6kH><^f$YswwMr~AZ=l_r+Eyp?-1V7%qbd(ed)>!>Znkf&6q)pnkl{?4@9eXWaH)F`bQSzDgms!)kfVs1pn_yC z2PC#FHo=`d-2|?rObM!Qz{|5&t-VC_CGvOB8PhX~x?0B`U^U*4Q^5&NWwiiPf?s&F zAQq|5{H_mSRb5S7#xBuQFq5|yiwh6>h|eJl9)2jT?Hd4y)%|fE$vN3`%Y0kbyZ4uW z`l@9I979jjUeb1|J-c$rig7{R-5#j;+Z%U-KJD053R+$EJ?&C|D*BR$dFzP?VAW9k zdvB?O4Z7c?Ll0qtJ#bVmPLNUPcgxFymAot8KW_BbL|`V4X;N9d8`&t12*X+Kx4uGWZLW?c&&Ba0$ZckYHT zo;Gt6(N8T^MlB*HjWTRm#rY~+ON|g>lH!a3xyC4~fJc%X6)6P#gP}J859d#JO#%S> zSM0xcC#6e|7$@SgT?n#;L{-Daw`gqXcN%^ZnTYl_6LIv$QIV|iLTEv@z5?C*rK0U9 zz5Pqf5(n?(5bl^UGMqaiz4LIypf*kDa#3C#VOzUV(pgdI`CGzD{o+;8$IxN+9rzY! z1KxB;j)n@GxTt~5XVcTCE)zq!hDJfB+4;}z&KQ{3vk7mhO$MpklT(%F`Mv@X2Qps2 z|H;>PU^HV6NMJzG8Kysd)AS8eW2OU3EVPmDxPkk|VD3s_@#9>JmCXemwF`}@!q%aCUx^zsQI}fl5&v@&^(J@=xWlt8>mkSELs4At;Y5zj7 zz(l{3Pl#oV`6_qS%^>^qOiJg#*O8!%!S^HGBR!$s-{WVuwr#~?k|t8uC2g$Dli5Qx zjOK)?4pe1P%h3_}tC$wk1Rn#RiMvOhbT#Y?M2#hVuRxWHl9u5qA>{n}AqAMPNS^Ms z7RL;5`CI>8K863)`uI&Rd&@&uMLsvF!=%Sf+rj=kQpVI^+F6*ollpU%%nOcI8ok+b|%R;0UEiG z@tmXTfdp^f__!YY+bhX-lkH2UjOq7fUMEGYhSeV^+h-hsdx-}uo%Ps#XMxSvKto87 zLyh0Lu4hvxtd6F{Fy%^<jNK2~P?I zEEsQKYW;Vyx8=Z6%`=a+2CLKX-Q+^v!N<;kdSrJvfbI~TXkZCh5}Ukrl9?NE`!s5@ zK!^-egR#MNMCHv)xgEsSt&o8*9c$BOjQjoknrwE0SL=ooYEbpJZ35wP&*|a}zusqQ zPNfp688A&paVkGS)rA=E$WG z@^-pgNa~?=E%Zc2b8+_i=|Z-ariT#O>klPlu-B^dexDHGq^Eab`;+{0J%S3OL?Esp zX3_PDusC#KAsdcG=!$7=chw#JZ+ef-3I=8Qn5N4w-yY3ikrDKR*%sl%q;dd?ka_EFSW_t%Ml*7D2lx&;mks(wjTgw=9EH5^PGETmKf#4N?J6_0*RQR~1F7P305Wh_nCkmksSJ@Ag zi>NY@LXBv@T*~GR`}l*|XpgUu)VA<^pKpPzBvqD9j>yPzxA9gScfGQs0?wp8|3f6LYxf5Xc+enelTrCX8k?y+S!h2=*wNc1> zwed&_XAc2wkS>O0U5SJY(%DRL_nifHSzXv-*?a8Gx|L&st;kgwveVb9H=Y# zrBVrcfCkTpo*T&%6=mO<^{*sEYct zTbtu45^+)j66E{uxuf)^*^uMF_IOMtYQtR7xIW92SgaWPYhnQ2iH`Z5Qo zDPzFfY$-ILGyQtIe3FDk<;^%F?v)kf{&=VK-9hjDDM?%c=rxHox=#YNDw6S^pL(`Q z=*D?r_w6?*NsxBa?gC;AxO)noRs#@D3RIChHgBGW>YFcnz&qLw3m~U62jnaX#E%+KQ6@to_6*Buf9Xt-UNA?`xpZgwS3W%p64 z^h~`I4!`8jIeY_cwsG>v5c^2@iY25Lr>R4sPhk7b4!dKXAj}uz zmgMKkLpOX09F;d?F@HK;pymcU1jW$EC`cMiqc#WTgyX!ZS{}!5(Hu`On$rN?)8~?x z+43!d9t#~PBIuSx86S8HDlK{P^rO-q+SZb9}@JCAFndU4t6qFZAJ@q`iz=91y5Ig$Mq3#DF0cST=gnsu06` zQmSq!AY``GAlJu^WOQbuW9}(DvtNZ#m?}Sqp5r2|XaRtiv@rO@-CS|X&0tmU zzG4f*+7YASJ#=&SvDbo1MIPh%{~hkefGQAy-O<4!ZCBXuJ2ad9(_qwzUxmv0#L$Jv zi+dw<@}jnCu4%@0*p65%FXfH}$CRrGziyvCOghtvVxmKM#}AA{d8XS#gvuf5LC+77 zly%~QYnYPZ;t38wvttv8+72A3ay33)D7wbdADtwlN8!UT5Bb0P-8Sm9k z!mylc>Mi)WS&?2fG4&fnB5=y1c547lW6K77 zWeXk5Jg)T%7K_mrwh4i0z|%x8Ujc@ROW{anQAE8qH+N|pC=4-A?_8ECZK#U^OD_8x zzi@NXR$^G(JWlNNg5m#qjL0}Pd4ops&-l*FsXxxUq686SQghsbMfH1iqu++`m?j7V zIR%*uAPZrhXwbTd!XS;&f^mY+g`y=S8EDFk)p+zp{^!n#j{1GQh*MeGD>=V0Y*oN^ z8yNwM>l4qGnZAzHD-x=Pbn9ZzKJ#>YbQn5q+4$5sTU8eLDh~DYEhQC=h6eaAQf_$R zI+&0CPZdZK#JvySn9Ll50(*`EmLI_kR0x5Ck*<$x=`8SBpRlflFjlr|xnh4J&+t>v z;}+Pa?&I(j$V8b1gX55-nDn^tP~O^#^|0zC!&DhBvvN__JFZ^N$$Dx|uQtwaM3o{u zrqs<44A#dTkW3p}9elL7oj!4k0hvqw{y!6Pn-M!5Z>}TE7%}Fzz3w$GII@$rn)}~? z@`~wS#@Q?@`(DA&$k4LeYC3o9BEE_2bFWkxN6)+;_nC7p~)fC?uAJA9ls4yMOif1mE z@FUG);$(4hxiW^Ca->_HUVch>EHh>$zR0)X+@w_cGByFA4WTp5(F!2sdk&usi*$#9#4eXK3hYrP?v@NY% zMbK>=#jX>l48X{hQN8=Sj6J_JI?oop?3HS+rF9#_DQ*J_MLoiQgdm|L>EGGAw zD$s!#iS0i?Z+?;J33^ zIpJ|~VK>y@Ais8ndNU-sUzC^E~d*PKEv*?U^AaLnL48k=CQ6V^{_{m=ogj`SOY?(Hm zrxql}s~xU-EWyMjb=!VlkH|0hL<_m$D|xpmg8Gsm$#C)OK(c9eZ@>wv@)WV?=%*HRy)6G-uO0sQF#|{+FNmwR>U+HwVJ*GS?Ch0vuNw5X%*aCEki7)^k)_7JLoz33p7TzPhc@FJi zq6$u>YZxFbG<#qhyZ6>r1nY%ro$spLG%0wSCT`5Yh!A`6=Uduw%Cnl9_^8d2C>H<5 zoh#W*kwB0y_xL+Frgj{?CPv#S5!IK)$^_N!Je3s3_l*-bBjerTV>@|ge#lqiR| zr_jU1AXE`5Mz{F+43#K@#THp8g*0rq6U-OJ=XT6+TNmbx7Hr0Fe1-hnpydHMor6{E zI!93az?u(Si@YfK+~?unQl>(M$61%&|NSbk_5OR`t}I>>l4)NQMlcDSCgr+rL)901 zT~;wE0ec@tYhe3(6>|GU>LqU$0*=Nw_zM;QKG2eU^|*g;Y1YR(7r2ocfU7JRD|J&1 zUk~6MF?lQtwHnqiJ$`T{_w_R9ngII+;#Wgg$1~*x1lZbtfWE>(AQHq1*&}9|LAcV% zhYrZ%<9Yo1RR|dndHw&~6c1w!SWNL}Yy572H9|G10h9~l7}nRmVB%e_MUokx<41bOF|zFInl*NwVTa+YY=piTgZar~=H%eST~Z(dtLq;N$}Q z7T=-TK)L1gAK+pwME~2T%*PN&1zc}9FqY{dQuLhesRemBJoT`w1|DCuQWejmN*?QV zVQYS>fSC=QSU28f%ESZo>6It?s=2wj*QHB06D*Ydzw-V_0@F)D($Akir$s=I-K^DB zWN*!8-p+>-%(0oCf~T+I+vhr*tWh6^q8f`C=WSMvtz#p5&-Q=t3-a9qRY}el@k87v>%jsF03$AF=N0fI$b2cKHQ=(TKdV6C zI2KvCmJU}5K5Pfr+_{qPbI6HbG;e8M$2Fvk#!aWI4NrCD33zmnZ3aNSMJluSE(i6& zi~VlT7%}CB}Kd;($*P{NY7=d($qUIUY zjRNB1*9aKkD<6ziZB{n5S{Q!8#ae|4C+Ys>j{d8Oi4D~Ku0 zU^LoQp3yKhH79*Ur1=Le3DbigDK zJC6ASDWcxE0Ns@o$GCz`opal8<`3%7LlZcgruLAhNCScybKUVEC@Y3Lozmu9BxAB>X ze^<~L2!8ux(1`HDwMBsK0@+kZes>4Y*Iw*j=(YI#TD0{8v8>@3Wvih`mbv zCr9%v!5~R)i-c=ikVg-sCk7R;kt_E`;?_o@8i9e!|9)TY`>%42?T?v+Cc;#O=6#M^ z_So1JTQCFD>_m(2`WmmubV))oEFcg@8A6&RlNW6M(s`_`X7UGM-EaogZd6^l8lZgUZuTj z?>3mCGYEKHY?bpR?c)b~0XMBXWWv78#tdR5{HS|bnA7ZsB4<#31OihZn!WsgPx16? zzE*@2+Ki|bvMj=;f^!3|zlav#9n+Sum4y=kxfV8C_-i=_W#~;b6e`GyW55k`3<#qx zX;f&<4;_RB;#5R`2Q^B_T)Gf++k87Gwi6eXnh1!AMBA;A@}j{^8;We zxnRB7(Z6_8uzu-h)Soa&oT^};UDj@D#ZG_!)HPr~$20lWI&qAL2as z<#tDZ$Z*ZZj~L)1eEku$7~cN3c@G)P-NiO6X1!6t)yTYBrx@b_Y51&S9Qvl;$Aj1- zS?0*WT3UGL2m{(632HR-K6Ygef+FjG!J1~zSzFTaGZ<_y)fjCG{0fkKm#AIhv+={d zc%P-v7PMD`7GwY0>QVE%qBtPsOk=(~}-U3?-5IqS0qK93eY&<6GsNDP6 zD_}Tj@#Cor&>`EVHZ0pU3uS-cC~euhI#-KUy>C1%CLmGc_UOvx0|_Koe^ytL5a@RI zS6*OO@f#v$$w2ql`g;#3{Sc!f6qC@(?VG^r zcKk}jAMljO)-i9C0rSk5o;TqTxcL8lDGvopP4Q`qzgK5_bBRFPWeX4kTds~oaIJ}l z{A(iGOLd+HmO9|a+5z14Bi8R_2Dfiu{`z!?fJd-n_e;1>HA z5dZ#%LdSnQZSOlg$p5|Ry&vh2{g?aw{c*DMe>?r}=e3ajJJj~Ro520wp|tneaD{&X z?eA~r_W1wTFW&z1V?d5>-@bj#_kSJtWj;;>fA{>r3jSkXh4(c|gsiA2g%kRhsi76F JLf|HD!T(7}<1wcTEL8QfmRXwvWHqAWI zEwG?=EX+9>EQ27!cdq(_RW4}l>E)>vi`!I+rF3*X38Q}dBLHQCcicARscDUyUD0z)E(VEqeA2!Gk!vHO|#X zkjl+eEzHU{LwvP!4*r! z`K$1kk>4E#^#ysHAR~Bf6&#^MMpWo=%-j|^;cL!smA_F^)#L_=At*`*uWazJ2}{2f zoc_%~O&!Y)rLAH>*rx}Hr^(iCbLc(xQzJ9}X^`t7#rg2Nbr|ahdKqGHNn{UX6S?o5 zp63&Q32swT>Gg}sGm$9&*3CO2>5XTP;6mE=8CL8ul=EG$Wx*eeH(84ByafXhf*|0A zYu0@+twOYhx#16VJsc+u02El}$@PD1ml}?xl;zvq0CuAx6`8s7EJOcWIV{)&^*+xz zEDM(uNoG8Zb{-_*^{T#{#pL>j4k%)LfbUgdh=%-0QneW4?lD%}{NcQ)TTP(Dn|g?7 zI-|M#8+<=V)4BlH?olWU(wI6i$&ih+UuHCfRJ0@?pEClI*~9=Wh_1D<&^DYS40i+$ zD-y{+N2Kr>??PjztOMGlU3A|XOc5^y0uT%@9zt6LGLi&2w5Gr zy;k?G)vr~fyVl|V?Z(55Kr+Mh5JO17gX7Jh27k8oIP+@GWl0jNg?M4z{Y zGSxK(tzY0EOu2x5v{j{=p>=jef;$hqs3RQPgw0B@hVcvvvAg8+g{tB_2j5edzD_qJ z5Q!D683ebtd-8Xtz12f-;QBLhs@zK0dOMuqB@s=9XPQXr@^LpIWCyY^ZC-#9i5yFa z&7fZPh6{ENZ;8p)>ak^)IctM@WfaYea&HYCm6gEYjzfisc0r-k2!p5yOuImGh={WJ zt_%v9d@NmD!#*RiT^d2#hYNuehXD+U0RLS+eF%!kkO)}uw`ie$x1Ik;7ah3}+_yN@ zCxB$k4}38HZJ<>Z4@`n!^m}r+X(b_n^bQmajvCOH%ehosTEN*jo_e+n9&t zw)2E<32tZ&S2in z#PW+FEtX|cvQq-4P+lpXe{MUL*?R3D|K-#+##`Y@vn%1+5%8ue@?Q*7Nci6HeiqmL z^G`aR4sa|3OQMaV;0qbUn|at3g95=P{#bot4OQHpA1Zil0bHK*5JeUN`7#&3iQGt7D@ktYOFN}?AM z(rk9V_dB{=s>2_o#&MTv2<?ylWwt=z4kE_%C*Iy10lI_oNxYEYu9)|d=e(Rz$*~T%C1!#7i_Tn4II@!X?b^Z>0uqiK(;`rU-|=CGE!uof31x{zav>;A z#ux;$$B_UH^(i~J{1Rb#!w+%6H^<2ky6x8TY}U#wb1n=tR_BJ}N&ZyEMBPF&PL{6F zvN!PZeYv)Zh033#&aK|C7jD3 zK<)nP(8AtqCwaB=h6;k&;(?fYQy3mt>}j)Uu^C4SeWUOH!*g0lfIr}PXyN)|4t@pT zl{iaiRHr{+9VE+=`CG5aQ;45k1Q?xFN#8KydJ>Edm~Elff@Uv{vhI(_w_~k;Fdz;9 z=$EC@{GCXS`Dbf+FQ;M(BN+4oANP}rH)$Td6$*Horawy5tyB4g{ub`mcc21WHo&VU zu{kb(#F)=6b1E?#e|N#j;i3dHoRL@SojLzk`bWucHQQV*tRhgt3SK<=_I}T2GMKH2 zYo3`yoM0R{bf-X8>*BZz%losxCmD?km{23F;s%`n#Nb!Q#n=$HJJhiu*I3p{9%ZM8 zql@#eeiQU7014!S>ZZ2KCYsH8$&bk*GMPCN2};4xCvoUo!>%_i94{*;kraW!otqX77stn~=%?q>@Z= z_N`R6oGA=OViuPuvx4*O;-=t>Xv0T<{4adc!N5mp z!#FQ^(0v1d2o@j3mVpt;$&vZ3HK+w#CYEn}=MPo9R51)8o_2!wVr=zt&sR2!zWxBF zSGF;}$FKk|t%v4lzyO1bS?wBKf;I&@!2-JNH01H5t0+hIPW%=jGb?okJipE3Zl;Y9 zA9pK%<$-e{SZK=?#j4*_wb)-tISq@tiXsupYwo7;Bj-z!R`=15rfJRU z1K0#@s_U=DV>x;Y*`^RyX+D>>q77UAfB0th~{(%~o;{*8zhJ-|h zC;3U$LJSKazmMNs*!KPYwTe%@l9R_8wZqh_p?5!C&pDT$kc@ZA#gyP+keAn>roUDx zS7WjCjINoEx_s=*zmkcyxby43ldZ7)?132B+i+_wkSiYBDvh5# zyMf1EmTxrEc`Vu8y|z8d!*5J0RcAFG zw)O(P!fdWS{6-h1-bsso`E5CPamCU7zI`?3h+0Cbo|sPw=<-!NdehZh&*0XnJ-~1& zr5t?c{+l$BwNu47WCSqSyo}`&EMU`%dN_FMG=~{qL#wg5lu$E>7>v`h5Sz=rvgi$J zaZoeP(ei(n{waMfJBneS^MH}X{vOl(>$t!orS|3g?`ZPrZ~+m}>>l%?estTHHJ&2b z6ei*4*4rDF{FM&tUHx_mLMMXNV27N~edp>#o3Xh^s@&fn9kv%8zWm{A_M`fObcfeA zsdsPg;-`gF|Bf$bL<`8vZ&w%5_`EHd*N^{ov(qOb`R?slKAt%6gA zn>r*ja?`!LT~F-dS{hmJz}0j6g>pxded}oCD)jV1JJ2MKuV@4&H%~S9siv9xOM)pL zfk6syF=t9+xRGFV5K zK9x`+4=a*EwQ4{i-UJ8w@UcCw=2jUhos>78{r2HV;ds*H4e=gFNTGW?#=w4;wegbO z3-T@2m>Tdc6i?#ZzyvSkgeOa)@Dv5nH<50jMSdjP=278m`Kh8c-%NP{=#%)zqL_YQgm`BC3iIs%=8Oh4+5F+E=4IYuSaB$zE z z<%BsuYiN}Xgi(yV^uofe!RO|_;IMLgyU2GPXCdyFM`D~5%1o@ed>&TT{0c)G)RJZVN>2!`vHZmz(2dD+{{R<9(^s&2#i+EutU>KL#}At>Wo-h0C=|h5lmGXjR`=`+U#9bBi8(Y7N9EDE1B*A{Ogi( zF`pfxLM1J_U$c`6r>Fw&9Px2=)DvTK7Jrs<9o?em@lUc6@ES)Xqt6%gmC}!*tC<;e z2geetW<8nrv)VcIa^xJaLcM1|A0k`G7N#<)tSe`?`g1GvVB-W(d)I^8pRv*`ba+{k zD@?8gpnv@FhUe!<8aBuahg0*z ztzD}d9ZjZI0cD3CRAZ>h6Of=#uOFKb2*}tc5jNRzpg$?8nEXd_l35a8Ve;2yOJ}I*CyylM3V>rUaSuci8Ztj@Hla?8A+0z#r<)$6&$4L=(g&lsf`c%+ zhx*1_UWI+(i^;{v;y|i^tlShxR5D{9Pp70ZO3mRl_n3AH%xf>Lnl}@zsp9E#h2{j? z!WX<;gR4Tgj>$E%EBX}S+g!uQZO=4$seYDoDDI>1K`K^>*jeYiy?N~I?&}c`SFCZ6 zG4<^P`i6X{ycxYugLJJ{qEhk5b2QUo@FQvbLpKN&P}_e&AUB- zL2r;gAszNUAn+s?UKkk862RhN%no|BDzrz5BKw7)9e1lnfY$49iK{-j79%3y`$Yp%ae+)nos!BoX1z67 zctvEF%oev7CluOF^l2Fb0`h5fqDcP(#k0gafZCOCb+-VVaHBnx7k8%s4C-qY$Xv(o zU;blaYS0zB=Ul_Y&Cmp)>=+eCHs-kAG z{O7jl`8n(fh~Dzqf_sJWR@83MflLHFjB|A*uh>Kh<7*1RhvrPkT{J!lYuVEQsm?zO zatZ4mhaKaFs9qo*)+)&E4Kbp4J$JlYh42lmL$p0CM&UT*K6HM-WFlkqHAroV8h^-fAL+IG_bsyFj=dyw z`5GBLi)#?mErqxJBS>_AXel>c9oF((TsJcg8gH;`KPJOooS7wQ9^ImrTSgTL+0P>w z(Q2ovBqWC;w_K_o{DoO2zo6Bn|4KZ0KU)rOPp)ti@6~QimVmo?L9<9;pj`pi$$pog~M{Dx{0O@YZw(rxi*&?AJ(xji54Cdh34giF}~XN`^g0|*w9WI ztbxBI*?N%^G?+gBM*0b{(E+|64UWzEiP{lw6X9BGT`Vfn6m)bUF9?cOi(P3W;2WW!ikS zUwZux1gR8u?8s>3B@tgA{D{&>{Hj4yY@Qx>1pS1C(ff_~4Sei!JlwkS=B=BV58oCa zJZ%j?@S}Y56N6t;aJaP-+3@HXrzqE7wynKMaD*tXWn4xiPTE&Yx39|HWk=wU_!D1) z-g*&_bngP;A;XDd>7(}<=y&51XVSkR3ghxcR%w#T7DlDY3W1iWp_*|Del* zMcqEcsMd>@|!AfWe_prKV*q?ND zBirBn3VcVAXpZdwUclu)H*i~~a#Jf%LY6m}i(9J=-s@P@`L8f-oG`)Cvxra3ov;@D z(XfWV?*@Ao2^Hx2mo^Q)%J2G{8bsr1M*JG%h1uS)TvNq?C#~wHts6{~l1SX~VbRJC zF5eQAAA}5{7ApmIxZG;6o=zxGpG3r7chGN8?!Cp7Q-4J5zc+sy!0ckrx6J~!?=Bcr zNxvsK73bdl1>NdMG-=?7aBJBPfsn@3I^pR!i|?B;0Z#9q9r3Ev3y+A!Tsniy^_v7qsIg$PW~)9RAU?Q z_cg!&wK(4Peq&Bf12EIRse)NEl-v}`8@ znL9kPYUE5PbWq%z+i(1vbmQIg;BD4X>x^!%->23o_#&-lken6gMl)>CI|nX$x4VLG z(e(47H@-8cB}l`e`e+IiQ#<>u*fVm5)OdALK9YkLxtD2orf zPpcw7$5hAG$n39ngu7+6c_ix`nf5&e}4ciVx;NxHue2hYyh>0trU)}+b zyj-4epTKOdRzD>`mo}M}zl&>)b&^gjUknksZ<|BJc72{>(Ve759(vmyTrT%2;hV|c zd~Px6eMDkhZmc@_h~VwZcJUO^5MW4p&-8q5J#j4L#9kbygu26(t$5XmoUiiPGu!{3fAM9$Z=PJJKJhR`v-lL{L+T~&hMTCP2)Mo*qdM7A!JnyhH0w*+WUG)rpSW8wPlWnMAKM%f$1m zGgro8%nWC4hGl%v?wPr{M0}HXx~|vnjKA6=!_fzUKzZ zCvVE(B}?6eJgchQ57m*7S)ij8I1e}HQB*uOL=C?dV9B255ia_;Ap1AK1>Fv{g*H=gJN&*=^OIZv*yt1S%gy;;pjJ@56C((>|CWXZ|V z?4I384yoieV@67yZi#{rRDVC%;B0R0(B;!Q3=j!SV=mBlc6oDcs$|(GJGMY9ngLNb zTa0-(ZhW!VzkTgl1Gm3g%v6~nA7&LFh|4=Y;#+c6KT$lT)UOXiP;p)JvwvriG;NWV zo3a+n{Q$1o=EW>e_>@%qp#Wte98icemyXB9?>u%_rPnlB z*&NJXkH_m7 zC3L&}TkzcE66pyRwX^&AqG>e$7r6-%&&y2CfWu}fe&R#k+3eVuZr+Pk5Pg5p-L){w z&gsdZJ=F$jJ3f)-Ul7u5IO8XPk@9jc<6~co)xb@j8zb*H1#4rLgZ{E|s)XAd|4k7G zjbabv?V!#iQK@u4MIt8lbX=k8Ab+;~sB1+fhlphQ8qYm8OTurMnfIDvPBAJ3zZWJK zTPfX}oj|9mzC|1np{wDBwL{!2i-ldUKPz&SqkCf`H{<+E|dLEACe(;PKJ`vZ$$w``)*3-l>FE zuwJ8I~=sLOazO2b3LM}AKj6{DjjkGS1a5tapXohw?>P|l#_|mI8HsPci zZeV{sU~4bF>fSGS-9(KWhioG3_m76^YLWX%h|l4-k)Ij9M59jw>J2QYRjhol&t>HMw z1EuCkdE|q0Cd+R4+XfU@Ngd+_XYQx;v3e7@C!#b_MVZ*_671! zkz-1Lnd*{$9_6bG-YQpVXh0wbWM%PCxmtJk%O>CAdYTFQmBgRT9?YG!in;%U+n*x| zwajyHoFp88MR9fpqwVSd-aYTth{?HD-JZrVOj=(L6YXnea9(Urz5CxtO|MucRG8xK!JvlOynP7cyNsKkoO7<%SeMzcI(ln;pro zE1L`3vqpd2vfe%g@wlpAXc?V_v*4vl!mj~(LJJ$@vS#m<6>_L9a2(RG zGAySa$a=Kb=y9B(qgeASW%y7#J(FA#a{4Fc@c4lu@!CV~GbN=%jEY6(&$PCetFSgK zJaK7|#Ux`krTGgmMZsJzlcP;+0116VJWjlk#;qupez<{4k$WX@${bOHf#1BJUsApuD0Z*JKZD`ylU+tDwOM8Mv~=*?=SIECq|=H#uwzB z4lR0pUjbt`Gn$yKN*Ntva6k9!w!X8^7rUI0wk8a@_AO~5X{k0D!0hzL#vqXL+l((7 zBs=xM;a?htw|t>m0sr#4p6BCLGCk`>hSjq#^T1-YO3rmP1>t27d9zQZ5&8im4Yo;; zWQx*@ndfM;u4VkIQ(G^|XM5lU6Vnc#Eo&5(UwE>+2(U=zj_K@f8ZS~|Oi;ZD=4JiA z3X4vWmYbd;Y+t34Z2pB&0J2J#TbdhhzH702^+~r|Wsy3Qc4r+jBH7Dsp{=K_e#0P5 zDGtci^B{N3AasE_4%Kqg>RSAzuV6|R`((=LLt(}QW~t&$Is!fcN&PQ){T!1aE(dq_c!h}Si zdI$d9>C%9Q0g5Ykr{Q#Qhg4Qo@+DflJF-N)ppD6CX3J<|x`AS6@V1X@Usp70{_6NM z2P6X|JefsTrW!&UTPwKtJK^tQ-4mThs+b_FD#uU=5@pTNdRR+APtM$-0JDaW1)oAG z&{F~s5X=o}$-&r+EvngPl#PzB!03DH0o32_cDNPjC&)zfSRMBKVJ~hAnE{Wl$evCY zK25lvKY{~@;%S!J5aPb6D9`#GH=#kti&>|TK`08E9xZIHhdVD_P8vshCQP(*atB9* zUM3;}s4cN)vwdUOI4IrQM^QuNrHgNBfgBGWDFGD*kv*_ZvO-m9VkNW2@b(XTTPf(z zvbtTB>>K|08|3Rzx){#oe4W-0%bR;yw(*Cj8S|lF{vsw@9WGsZAQr|q_7H%%0d*S0 zf)U+k|7P{>bBig9$h!ORXByjY2+Ar41A;(5FwdMwIA4xvvL>O4!f1!+WH}#gX+sV= z?=_U^w)(lbjBJ3QG3zR6P=`FZwch8Y>Q6y3!ky`EZvXS3irvCL2K8^2Qo}vAZo|8 zLj3yzc7Nj^Mhza_IYD@%3)>Tbgc#YmgtyhoiHA?}Kl$srj0GeVYtoBA$iKT`ljIU8 zaa;cY^ZVRd@vUJW*tcfaz)#%GiG-gVT7u$a&;^Tn5?y?Ndnl*R{|?(tKgqk_91=#@ zpEzxmMWjdb?Ec|fCpB4&6BVCPo~m1N(D@(f47+^=LTzdlLCbcB?xzWZta?$H@Dc$R zf;SMWcxsW^7rGXpW~V1O(&%*&QY8(!ez4_i}(DY`$s7SRt&ilJjmrahomnm z(_6kO4nab^Bh8n)gujzY&#IfeBb90Y9@|?}Dv@$FOsaqmPnC>93Pyx;iRHR9^PSMmQq zvj8*O7^P*ws*F%OxvJe+J%RAf<_a=`G=p*{848H!6OQ6U05J7vb0e%_{l1iG87TSC ze4rxkSAx0SCeLvl!i(a^w-c$iF;~zX<-_3(sEB8al-m9VN7<9nEB}jXN!S0sj289( zKfnbFf-u~z!drJ}Nxavpm}5U)v(*RdW^b!;UfZbP6n#{Udns}V(z;MW7g14 zVpBeX-Et|<2X0C=eX$y^qX2&MoSV$Tnt+l=i~~*mxq$vmbHd8XnQf0L)cQNb_B2L9 zWy#3?ly-En%8Mlqi-MFirmneJde1Hd6WQ*YCu0-x;*f6Ubvj=wtyxC=qLb~1< z&EK8J`va&Dq})N&7>n{B^b7<q%sS6 zvE@P7Fa6H_9pVL@)`6zRUFnWkls!b)gn^D5*tqG-z@us(!@hiB?Ac2G%+~X;X~Fkc z7!d6~gLKY(Ouh#i^hJzI4oN6z0p2)_ZNJzx?#luixQmLZfoe^keM?VoUsUg9`k={j z{N1DikP44a*taX(t#_Ff0(?DQ#E+~r(I>jlS;K*C&!;7D+`QcW3RFAAYBAx1v24t8 zRt%wLq~sgGlx9%M69i=%qDWR4;#`?9zbd^7g8tVVX7oFuxI6azmEnFwKk(2Mg)P(3 zLiTar>Tk*d=QguamjRgY{pv8WG~ThWKrlmr{w5!sLnz+BIEw<>uf> zZ4{|rhsa46195InMo678`ha!1=Xn~GY~Ek+R)NLBPt0FmkA6d6_fV3tO zbgY(5bW9Uu1r3gZV6ZjyoUyDDjeyvl{vPh~;9M`fR^#DpajjZC3;($`QkV7$)%;lw z4WCa!l=i@<2O0$+!BG;Uvl8^|k`KeRrGvnrs{^eM`qa#f1;L@Hs3}fu_4&a2cb+RF z%W+I?|NLt)7yn?z+Dp@E2Wbl_e(iGv-lcb3?%t!1 zpCw)_vInwpMiY*f&mF2jBu(!V5QTDSQYt4iPQU2WT(RkTxX$h(L7n7#csr~Or4pf# z#U~7R-fyweYsHw$(>^$LtJbRIgMP)1dpRFY^026qy$7a|w$hohR{9I_?b-h~Ea#V8 z{G6nM5g(V~<|Aq=m~$5vltPW+58Zw!=A%sC(PjLuXw~&Hq|II2 zz(B59qCSzWCjn^0FgXJ6eJ3Mm#JLsYQ^MKmC`cQ(J%Pfrvito=R;q7XLo7dfy8Yn3F z>(~;xj@@t)x7~Dz!yf}l-<0^0XnkO1C3q9<{hZINxh{O{Yp0*t!<7!~bmS)pfivgl zkHyU`UCfsDwLJjpmZLHoguQl{ox;|EvYYn@FIEEP4eybicSMAV%4}aH7>#O#w-uJTK>GB)cD6-#e{yrlZ%YtF3?8 zK%=*tso%K_l|ABYqn!PTtVg~18qJ1(j!d&;{}XGS{l2d&V>fdR0`pP;|p$7ogxn^8g73lELqYAy6!o5pk|5z_%nPfib|IZIX2zH}&{ z)Z+#x4xa~{Os)7=GEHjMZ~7>WM-l537(ss+KyiFLFg^){x+===R(Peu1~=1(hxB0$ zN!C^g4AKT^WTf)im6{oEk)H9cSPc{x1@(6K3(@ZtefOW^^HL6%a?#I?Za=J_VI<__ z8J(Rs+(Efk#1T7KjHv4%D0uOCPh3&g_( zdBZPT3}E(U#2Kt@D`%~c9xwBKJsL*xiOFOr`|ZiQLH zWC#@D5CiVEr=Oy&pNtyf=deLcfV)y@Ho#nPv3j@_yqT zmYlTHRjilLTA>}f2lsJgOGU3>-uZcD38!1}Pl$URA|M+j58}IKQRz39&n&iGw?}ib zaym#KfF?CH}U~cCN>D8+bGtd4|*FXCQ{n9 zxU0Ycr-yVU7Y^~x@#){Yq~pB39nt%@7Nx}MOQEKT zl5qDo&Pn}%>uNR|7$k@7aAH4DSG-yDQv*Svu-*4@f6K)?Ji15Z$eDP`5I31qr=KE2 zSx*ts=iE%9`*|Fr00%8KTd zFF-C`6*NZHMb)AYORFAh65HLR2Zd#2nXKN2524SUb#`GOGLpP$^(0}{TQE_c4RbVF zOAQ4}|$SjxzN5L&d^-jTS(A@iY!?yL+JElIGvDL%)Cx+^R+V1b+UZ>l(&upLt@ivV*!u7VqKI?X5)lo?i zgA3X8W5Dez@AlRM27ITvNm2VJLhNnmc1*CVRlEF%aFjwWgp?6~6Q!O`1VY11P)b-0!&2QJckp_-Dm-xI-Z;i*?m?goP%4nYz~t)^pqp#(SBQ5D4WJZv|iou zV*e5X9HJus8=Z+lMB?j5TWr?@RnigdWZ@%OoZLev;;USYs2mY5CKoJ$QO@7crxjF$ zl866I$q#7&$u@eP?;goFjS7r@XX2_^r-r#cpzkewyQ&CJ*pbv4$OJMSP__&|T*eo$ z9%zNZo&jP6hxaR4u5au0Ete6VPGap({I^>EWKYOdamI(4I~L)IE8T7=QLBGlS3^*w zg?UcD4c|A0Px*f|RcI-g(dn>uF@33;ZvF)Qq|t4Vh_SG{7IH5yr`PCLqi)@VE;#tn zM;t*Z5piUy5~hgno+*BDodDxfzShx_CecO28S6)Vsm8P=J3nHp#iF>R9f|wn7zw)& z$&h67TX-E$7%RZBvkVJvC1j`X0f!46_hSv z1BVQ+6ug#x_|KxpcCixT*UrtM$PG=I!k7pgi2&&L^e4AnR{X~W#g;D0Or+C5k=JA3 zed#I}D(XwiX&AD+`JD*P+aLN8lz~_2@2+v!5w52-D&LoZz*gpAXeZ1nUk`|*!pR3A z%*X2tq1}EbMLS^wL-Io!thkP*WI_N)spEy-3Yl*z)JU?aB=n4(Rm#w(WdafR29e*U zVSl3BkuL&M`QP4auYQ|(UmIG{!>IMLYXcy5qOQpN4qezNf`xCz+v(_|km$3+G0B$V6X!Wr~wO zNAfPmpZfcFYG8VOap-hFwGOH0z1Tvha^3NUf$pfo$_7(t6)r;OAgbw9qZ6Vgfe?{%t?m=@)z zF}_H|pPy)uFcZcGV8LnfeV=e2_1EQ3N7qrbG>8U~<%k=C_tIR!7zkj^8Q?0OdT#9U0PU> zm3<}>5t7&$RwrvM!Iskuqj$d|CR1+h`F?EZnt2p|6LLXggNJbbM`H~w1O=A#+o{k| z*b&HT%_ECn6gBhQaU;cE{f71Lhh0fV{KaM!lAWZ5AwvH9Tm0s9X<~=xQ4e?UzoGx! zfdiz$`Y)~btQossOTvgA+?!L=p3ng^SFsXX&2vrSD*q~VQS%=4LAE8eH`d{db`Ro6 z=(730;i@3mt@5IrDzTwq?vsrGJi-x9i8XYQOZAk5buFlbbh#lfI$#&ynXF%kdUUJF z$Mt!=%d;_CJ3l5nt?NJs2yD_ohcu(Q5r!;hTA|hI^a_5X4sB*FU)Z*`MPjCY13ch% z4nxuGT}{=%lTe4Zmm6v=mb*+1h?o748H*P1AjH7UHSlY!oVF^6;Vms)uoki5tdJkn z`nj&h1MA(F9duJWREx=x;OF!ww2}Ol%iK_@m9H+6kc{XnQkbB0*H)yXIZBL_@KQ5YPZ;+hl(tYevvq#ym-nB_bRzEs z0^4^tLH!b0l29qO|M(XwDAluUy$ZuH8{UaXdogweY0KA8ecC2%KqrI+!}#(V2hqWpHMrhUFTXPpc}tq z={gvn2813ZT)npMsJmdrLWh7}oikKLmzNFFP-Vv3vUd#<-2EfaV4Qnr?|_DCwS?6< zdo^P39%}E6J$}~oP}WpNY%xXQc|SaG!bzZCuF?Czh7~s0=I`5$Z|j-~guoI=nWKBG zpRw2QFuSv5+!IP*JR5Nlf(V9sgoq~Dz8r&HQXq{`m;Y&c`>-`s`sABZ2_CD~qI|*L zTGV-P5eA7Nv=5ex@lx&^4&kx>fTy)FWXH*T!&7#ERm5xM?vNwq{Q8{F3HFk++UXg8 zv_?!MZLPZpq0Nf;m)_o6gW2IJC-(6SR()P~!x_v<-TR-3nCi9>7c|XrsF1DX;5cmK z7i1E;ykgBzw|TQcto!3aI}W`jN^G<%qK&X3g~_aW71lI~(<&NlZ$u5Stt!g$30*?{ z7r1;iUdEM?dgRMBQs1`^)R3dA5ayiwF8R%}Q&!?`T+qDJ{q$VsEtV96=fE` zP<|tbj9CpXq=zv=kIv|CLNt8TVAC?@gE>V4JO%>9hiirM>J27Q`TLQs{QEyVD5!Y- zSaeOVEZ}QC%Zmj>kKMxY7Kj09rw z9N4Y>FuN%1{#&6a91@C?*m#Z%Y%zV{j4ajZ9AMROq3bmhj!m+LG9AwcBNovQ8(O=X zNH7dR`JG94b$ZA_R+ZfJJ+>W|yxDX{d1eRs#xfDL0*TK5a()?4SbLjJoI!-fJH5Fx z!RS!=hRE%67Tx6Ajefp<){2%Sx!q>i7!5_tjoh!)-^0aN<9e!5|JW}ynKgkxRb*uw zd?u?Lq!@vwt((y&d^`*9V@-ja0x32Z>FFxZC-jZ!dqYOmIava`CQ$@e^-%B}|3x$K z>$|0?kB4MUbQVnPRWd1yuW75)Ih(e(@s9hV6Yw=y1jeN~9xoACN(JwH>@&+OL!Z-d z4FP*~=}Qc^c*VP;qBUfHGjQG=#`%wB++06hayh6bwtS{pUVPf4G%>E>u$og=HA!zt zL$^@rG=t%%+Vk#MGua(79}smDHR5vh zu4exaqL+9uEHJ6*2!=`?BS8j33KS-0dq!|%-WQ62>3IjCqskxv7QBa$05`wn5ZYnYVierV_^$6CY+Ez8b)*7($qrVMi+`oJAyE^F zCJ6~m*!Xr#zWy*pYjH#U7P#o0U?<(SNSS8x<0@Lh6;)b^+KV^uOE^_T90;5|vLey4 z4g(QMJuoyr5W8)?talhLG41Vgpy>4Z(1szqk1Bdp-{KW#1`788hw8kKdxdAe*Gkbz zW|2E*AwgaH4~EMd@+uT=SdfbphvyVTasCTAxR(K})1tG^+r}`)UF!1cXVn@OLU>X) zbD5I%eQ8&y6vNoEkva_PETN+dAp0LJF*=sF9N+M)DR4z&5EESz%iN(WopTEZ9(DSo zyJ5a%lq%QXLN)k*liHG^x2`<4(P3%UW1sFYJ945u`r#b4U}I6NcZIZpg7Wy6tmb}M zebqAUkae0LFSX$ijWqGQ+pmg%T~2cqUN&1cDu#OwTc|fybRq{(f$61Q+|1H)<&+5g zoOxl<24ri9cZPt6gYBx9!@+gAsFjbdIl*!WUWN9ERuqiOVqq`(p0pfN^^|A8dMJOz z_P$<8NG;i8e+ssiQP#j@1J|Mdo3>95{h4%uEeZmH3-O?bM$Umn=%%%daJP92dD?^-DEgVEQ{4g{gBcXvNU#;lk5g^fk9{ImI=ii=^j; zs>_8&ME)lU+R4oIo~?)pEN~hajs)qHLtPh~v=qD)F}&NX70$E?8A9~obBU29N};|V1lN3!eqpYWcx z*oI#XU{Rg!VB|BMNh*!7{GYvU0vq5+lA^wi(r!#!M;UxaZ5J$=+vtWXN2;I7&3;}5 z!k6JXk?^PnmrhlsA_xc&Us9cM;MHy6M!Y==+W|k~(FK=e-=`LH0D@oF?*FOftJ>ON zx@d8S;8xsSS|nI-QVK!PF7JysWq-3HQY#X0bs|U^922?=!g4bssCB@d_vmI> z9qbLXxsir;(haML-VJqcqWlBspcAwTuSVwpiA}u*v!#MPWk2oR*BsBm3jjS15r31pE;QD6A*FL1jOryBBvqBdE?hn6CTX(&P#nsmAZtk zo;gAzvJi^q|LR%#Pj{of^ta~znRFfZFd&l0N@Vz-L%@{lbc!=!G*wB#-6*-)zd`X_9^bnbmJa4vc}M5)}V7n|yFN zLLUJCJ6;lWYCK(V8Bb#RaINF4kWkJ)2w@pm39j{BdL&Q&Fyz#x-9?rEkOs!O%wt8| zl^klFa`hoLs8Daiq>K=P#9%?+em5zrnF2H+ux(&tDem}2xJAOqscZh#kkE}i&W@L)f4A7E z!F+7?THTbwtu(Kn`EnVs&asIY(3z8?NV>oYC(~pe*|~Twq(Slq6u{OgSM1=6b|U0Y z0(_6}X>gh_Tb4jBP+t#Fe~5z@VO|JbQJAG2kdzd_Oo6sJ7m374Ne05|+l;oppfNx# zQGZFNjuJG%uQ|~5bfXfstrNj`vqUkt{|P7f0z{}R9;~U1FCFCqrAm3f9D55cn8^#U zGz8!}AIZMWTG*xtDb&T~#ZuI~a*S1$C0zT+B!i=*2&UT8#VJTOnp~OLB;(VNI?G)Q z^|5T6sh;%8M<<6 zhrpWXJ8~YG)A$c2tl2Uq*Q>sO*<~AqFdtm>oz^Dx6GhXh5 z9*SbMFyL=X1dm@O;-HF^4P_d!k%tjP28xU^La zZ$4U;vx73HTadq8OFT4cgrAIIM$La9ijCN6z-c8hS+~!jP=L+<-NNZh*8a;wW~%Di z0Mb8xR;PE;UP;(N8mZxLE)!pXgD?*w>(bZlp|ljE${ z;y1*Qtbc_+W61+2a)M&-uf1v1d?M;^$@0)GQj!fr zW1Mi+7^YbM0tngZ=(2F7{~BVYH=ufr+=DkFT_8Cyz*t3U&>w@xVh4-U7z}t|UtH5i zO?_kRwcLh5Cza;pikc&BY95@=R+2IL!O$7bhwVw*l{}0?`O>#l& z9%-`zTsQ`%&o5sGo+M_Pt?a#vc>cu;S)WGdOsYQVUoio>c-|?V=kay@t6;^7lnmB% zYWlew5n7l$S$=2+X-+}Gz297Hbt5-S8?pZdrea<8lx5yuDm%?Ko(X;*0gUDLMS_KY z+Geye&^|2olINR4|E5Rca^I<;tw2en+9vz~GW-iNNBzn7Gl$=7p zY~=g|61k(X<$@jt^(Xc}E1?atPpdH>XyB2icf$UxL`wmOFm}0tGSk7JCCbkP(f(hQnCDC|8d5jR6o;b_dzdbsg8zv;hf;dX zwKa!^!dW!Y%%8MGHW*E$76l50IHWM>3dzcA`M<7_@gPncI~~vx)hU) zwOO~KQDZSuEh`NzFMhqD)uIGU9wX8H1)>CCN&Do)U^|5*#A8ZevbxVS+APfG94j+h zLq@q)@LYl3KcKk?`Xjp30EtsN8|OHmp{QW~gA~-;^X^iy!U?@J&9}cdNU9n&=Xf_i6GGNX%ZZ!s ze*vO-*7G;6CUP!o{CMlLJ&5fX=pZM!>Rw)rEempmk>E=f<$srRQt8XiII>Tnpxw=9V(g*(X%BFq}gFPJ5%*iB9?6Ji{=} zyeG!|iG_n}AFbIkebhXH&mnHgu=BGKX1Y*xi>`Dh+Y=MyKF134*+?(Jr(4<|D>8#W zK9}j1lH=$cM%U0rBYp>sIIh-9OrSN3N|PH_R~lDWspsZ>`$CT1+Wi!~G-dHAVu~bz z$IQ6u2`<{7=@uDI9 z##>2Z9AF`AW0z8@mtOeP)DiOiUUd8W+(JGkgI(+7HTU1_RD*^-%;MK;e2y7MR=Ji# zBC$D=RB&il!x#WqTNY4q&Q5ni`_1}PFaP3VOkbj!97hGo5@7kkPa4mzmEaic*d2G? zW}f3p@Wy7mCzy4F$e)?adQ7UuV$vB{Sr;lUOqX_twi!H5&sxXf?|MKv>i{I-R(ILWTM5;9Ellghrjh5-P~z-}rJNk>LyE}%P;0vbB_~#{7<`oW%b-3NYkfBAE^>8dmLN;T))DlC5ho{dR_yP>{@CGYG&uJD zBjRMajS;KM3Je9mJ1!`_lIbAU?g~v+3cEg>@@ox4o+oCFzQa=;eh%QhzjG~sa6}8A zI>%L6Bpvh2_l_agC$bs_G(?HzpWd{UB>)kusSuP|T_n(HgT3SCQ>Yhw{;rPs#r}ToqokgilTcngN63uO# zaSgl(qS?{60uJfYLB06a8K8TYb7=;_D-#f5$YCCjOpcr&WridX|>GgJV;2F1TZ5RvWb_DN=%& zc?PIF|Ly|JuJ;bGZzNk47lRJ|8J|Rs~P-eUEJNS5*9xKWh4A?j}0T;H}+ax?)H3ipCZ?R+= zYQ8(F#buWWQ3tf4VZKK8ehY(Y@H)Lyg5EI>&t44lu1_$&=xj&1QgQD)ccB6|k_qrN zIA%In3^3B8QnV%NGlVd1dENzT1ec^>W{O;gtBgB2Y-w2keMF&Q4V z;oV;a67x-3B0Vyq8AeGJx9D!Yv^}vAiq)BXU60tzuxV}0* z58f1HsX;XewXrja@2@|wo#A)v8i^Ehx{LEi!M11Le0q=az?r_gi(6;o*oyZ|dXMpP z*}EVgcQ{QOIR@-r|AR&c{r+qv1O=PgMlWT2tc~;|_QOqP^eROmVY5G0E8Tf#x(NLb z$ZZ^D2j^BXYO(8+`U#c_y3pCh&kP?NG$INTOu1m4Ho^20o7e7mrE7DqQR7K^x+a_i z^}*j&D;R~kVT?y7BC5w55p~jc!G94`DKD4_*8E{IoIQJX8Z7mkoIdYz*x1v98oklc z5^p%BHazG0R0_)Q1bC4zm8(r^cT|=Ie%b(33H}7x%wSwxx`(Ygyq~af#|oY}&UdXu zrPuqaHK{N7f*Aj&X{vnAVycBd{EQ0RQ0vJelZtgBsa3UVJ z0{ZyJ)UwF}tF>IVcQ_^UF|$p;$@+YFexHR|ShhcWA^oI@%|F_lqLY9;h)%m<#)-^N z+fKH!^uT)L^^bP^dcsWQ$)fsCai+TvrMY3}bOoRNj{Tw*%VDe9lBMj!$O>v3o{$BL zpL7frkYriuyR4rt0fMqjBi~N_tN-;ot)KCRgL&mSan#TRhMqQ$is zgj>CdrR5FrE(4bE|8!rw`@83)! zI8W5wJ|M9o91xmB<1J+-bzYjmAxyVN+h3JQ?l-N?`Fvxn8an0D0LnpI-_}BIN2^HP zys8~&7z^2&>3pa)l5pOyy+WG*f|kq(IEtB6k0rCb3s(E+?%tZur>hjcvl-v9N>bwj z5b%6VEiw>agn;>jLA= z!t|vze7+ZlO9spw5|T8)rac?7IBo78*5?I*}?@u%s){}qYpfKkw1f!QCv>r$07j1Jv{MjQS|TqYH+ zY#Jl05wjW61t!wJ{zKp1vOwPEu>U+|_!yIM83nrjqD#dpfiEwkOu`{LZ_(8+F>wn> z{^~st(3{b?Rq?|y7j$@V=$C%I#RZEB^Id72rJxxZB2R;-yF8 z5G5jZrA=*>GSBJ5iu$rjx=wH{CySjhJBJWwtO#-TN0j)#SpB79GRW(se(a|E0JrxEF;t09xfy zB>-|KhMsC`lQ|BB+2r0}&v;w9@$2$wC-G9`4y7nn+syLtXQBw*W)GERd%ApzzskB| zOJSI*bhji(2gZ_oci&-uX3=VtK9!@;} zIK^c72iGm$PBL!{OV$2BK)gccJ++7tB%cCqOAE*Ofc9nSe(`o|3#}P9`;%4QF$jE z%WhGZu6tznIyF-&*|+eZj~ME^1-Apab_qpB>jOT}tUBK&fc{jSV3ugrM9B+t zUi+cxFq|6wInV4{J)Uhf4A;lba2`9ZVt~$)@9%+L)|EivNQ%D`yBF#sb)Ct@3FYn^ zi}apX-GO~W^#U)|&G@HWLfeDC^kVL)CyikveOeebO)6bC+qfC?PRKM8=Qd|C-kv^H z^)q#_-|1pH#2gua_c9@BLBuUt^5x6Z;78xgC#$8 zx=}asT=v8!$~VMozA+|ICG>cTKTMs>pe=H+KpDa{a^MC`onJpI&KkvP)vZ za3;IQZ2Z8X{YfREXr*oRh`;;P-@c(JoL;f99q&WYY5ybhRMV)EYH#NJUeg-AvJMKI zfU-G_8OulUd&TkJo+2-PZPDQkOT=P$M5SExLy91|XfB7k6cZyz&?if1CE}R z53=q_xQMLFo!YQ3!P6jGA`OAGE;T+BFYpvO$(0HdQ^1?=VPB;L{4_Y3A-8Y*{)JXX zFzO;8Nhkl%&!QeKT$+o(kocN3^}!^pg#RIqW>gdcXxL;-@SZ)?|07m z@BDYhIma>faPPGi&vQRl%xlhhEp~*mq6|7IIs^j2dh=RR1p0G3+0>LXiS%@FK69l$M*SqlKHNv5Psx-q_8_ z&e6@z+Jwr(+{M+}(cu;AOID5-R90?oPW)_a|Hu2RjxLsLIVb!x5C|3Ijii{`yVSjT zFDYopn4a5dg(W1zpGtHpC6 z)kkELDHs=C68tgafrd6B!2XT1o){7l9v;4ji9m&ihZmP-40%RFL-XSmW+3csk5ITz z;N4#X?2sqm?P(HZQSdH}Ko{gSc-PGG|MfrYZaZ6RugpL&Rck-{+^fa3H%2T=dFlRg zF>&_cB(Y62OIh#pWE*t)rav@gy2{e@Vs9GZWTs^r`EQ^9aW@gd2oXfU z428$$sc1-tQ$a##=M5ikG@~d*TIGDSw5D*+EY_|^GaiEJGkjeNo5Z@*TwGozr=(=5 z6s^@N311_kU_;w;Vuks)?yomR9?{}|b8a09Xw{3v2zt&rqc}9IKP?>J$vQxfX2%S? zuXb7%mrob;Ds18~;p5}$_`Q8HhnbR`oH=Y2+DJy592A6*nwA#UNcJ*Mg>OusSh>qD zz|PSz?6=vEo1i6ec{+Sd6(?zbh6p9SQaUKnL7_`1JOaY<%E||+k599Ti~sC!fe1VQ<(gcYb!?OJ^%Vq1 z#UmsPIp3YUv`TYvad8?~*X-!(LLiMsW@Kapv6smZrqrE;G7_K*-W_#a?Ua<`l9OZA z=wP)N#44n4yL&xsj}|zCJGBoEDj6KW0-w0P;JwSTb?yxg^Ull5_+;(()mpp~>lDu^ zm!|E+_YTU(E19d?+ph6(!byEka>aB(>zcj2=_)*O^62>{Pg*`c5^(>3yH!d!2q7V1 z{pEts^5!OrrKRQ1?(XFv9O11Ke=aUASiuMi3NCGLM>HKYVt`llzwRE)5b92LCCSq@ zANP=jM?}1@s(R(?>kE6X<$?_VA36sh)8gXd@OpZBOZ)rLx(*F_ef;q4JL4sIq@?IX zL`3pw{Dj)t+C+Dlf1k1$L@}4ucNXu@*p`QgXSD}B-WoQr(9@%!hrloTo?-=-O}6|^ z7a}9$ark+>+PmJzVpn>4Iw%s`-Y&{3AVAB-McCclO|)<7=O;wrclH($1x2D%qib@K zNYlXUIcNe}HrEHs{`+AarHkHH=q{+^n4ux%!f_h{0s^<$09QkihbvPMO7KcUhLDg3 zRKy<&iwU($Z3m z!}EF1MQTPywDk1!A)A^cUgzvPQVSvh4|h+jrAR{NwLvN>DhQ6ynR4Q4gcmtFIy$@M z02JgeisTh?dGm>ET}EZ;pwIqHO?YJFhmRjI@|7}Tnwte7?ZxUPxKE!VgWU9|3(ao0 zN7_!7CBzEl$i(*S*Dc137ASdY4>aHNfnf0SlN$P8=lvD_CQtXmuoddvLNPEfaCCaw z1#lvEXJ?0^G+rNXjQ+6YG95xyYd1~9#LQg!kS64#VK89C9{whtE+R9N>aC_GeK4-c zXubk`;Jbr{&9!y#u@J=q{8*8P`m0`%2WkVabwUp370E0$rtXCnpY?TFSy@B~9wjAP zc6Rp9ALe~OGak<9LHkRZm}FnAQa&+RjBT%=}lbGE%wGiiWd z-uBQK9vw}{lpwpdwx)OV>ec0a%jH7+EUd?!A1qKsK`Eo9DblC=9Pm~8Uc2Buc|yZU z8a-~QtD!*$nzkFHuN&4)$FTu-5_+EV?%-+f&nMT{HOdWGAmL;V^ZD0`-X;^TCDluW_N`x;QHf`6{pG0SP{`)2Cn#=$E>}0o=QY7Wq@Au z?LpJZdZOXeNduqKtF4^a#`~xSkqiHTz5Pm7CMMb7;Nb8?1MfHgE_8LgI$wql!6PAI z1Q7FcBu}mzz%cE_!TjuMD;FncH~?e-zBK8+CvRXm=5XIp!y_V^T(3HG$lxK3HhH+a z7S9ik{o4QGJpxLwY~GW2dZnk1&Bviy4K8_C^N0TQpX1}# z&AnarUIq{)eEH&bEi{nAqttvpp}VpiM)@=*CdTB?7sgH_cCAtgQPDtR0gvxje;xg4 zHNI<6Zw#a{L&9OTIXl>Jx=Bt(#@rJ_&TQbl{rq@DjtvbA7Y>Ix-s6i|$B%`D495WV ze&7B~<#YX>?s#zfg;DkAZh0Fk>~X+jjjT^qd7WCox*zy0Fi?Y$`4)o zZ@bz2sZ&!^fBId{(`%IJF+LoHiJ)p~YNqV^SFTR1$G}y@_LG&B2H4ch*h~X30S)<+ z&HotVt-d}>PZS9)ol^RXnVFe2^O@OMDO+1G>_CBpWMpL2Z>IaKai59}_x8$+jg9@< zR}wn^;+uJJ*I2jUT>{!LJ1I$rt1T;9B7Ig!E!O^|&a`SIg=?fvZ~21KJ{9oAs{X#+cQ zuTiOCd|-KbnHr@U3{|uigMg0KX%mA-4%41r%lfF)!jE^ZaH6obbkUWSjf7BvN4GvF z?Mq}Mf_xVb?l8gym`J2ks^LFh-g+Yo!3FRd*{tW|(*%8b`vlVV_}~NAZZX95_z*)b zKnEo!?*{Y4@%){ELAsNR%ja1vxEbP|L7H_d5jX-jXe!275W8aB4W4}NDyN4Nm;hmaDtSs^X~ zd)E(Bv!-cHO-+S`h4o8~ZU-enK|#L;2kUGOtrrb^_PO9heb2`=PhS50`xlVcP76qN z%^+y8$EVoX*fh+{eZ_w3e-hvW0dj@miib}c2Ixa@6A}{U%aoL2^fyu3BO}paIlj9- z4H>rjlIU~0Uxx%aE)Tdb>ErjkS`Ks31zA42yd(lYdXKcIiAo)?=#HIHqEY$;0)wq_ z=h0@Rq(m-CRZwtJuC7(hbD>ydh>+v{SA)OoK}5t0Mz!}%7yWNbAx1SK7Ut$?kd@U~ zk=mUCuc16w0fbCkL8LjQ!{$@$*4qPtl7Nj-O^e~-VXa0tMi}h8(5iq~4yJdbQ2H9V zmqzF0fjUi1JBKK}UeGG({XaZwm5>`PoX??E<@CJT;J%U7@1rjbrgH~vakSry*7+S$FBo1b?++j&yMDTMa9UqVi zOG^_(c)(~%<#$JK^4Q-|H9TlORjhAl_${*N)P*&)?RIsuTVDEAwPd^=pjzon>%)yL zpk1pIx{e96Uu2*A-|rgcWM#pTkdU0XC@LzxTY8VOwhk)p_!n*LSF z(5HBnv7y`MF9i6jL*q7G$>7l9A|*bZ{3oTp`?FCcP%`c1{^!gkyXE}_-`Okx-U6QS ztG^!+VrFhm&CZVdFBW^#LHYS~sMHmHw;uh;TqT3Mm=MoJzdCiwzvY$-9*wJj%cZ75 z0pjFO9{#?s+`Kh)jCBX)AOrx`dv5Z}7XnEssox@(`Hm^v_MJ%_rcU$jlfMT&Jv@2< z%vheb*zKPJ1|nr<29sak7i&ju%p>Taulj&+tv__w8jn16^?f%IiQv$kbfnv+ngUQ$AWE*$wV6WLWFhELUQZ_tJ zcavioafGij$GMWNt*wE$`*f?VqZ8?Od$C;Bbns)Qw+zsxlEqh4eisxJ6!j;6m`jCk zgM$&RYGzmyNv4{XeQFL-!9*CNAbc-){1g9buWIlJ6zfU|k-^rFW%zbbg@IrSVTFW* zSlQaf&)Tb##FFt0>{y=0aCq!#rR;ASJ_71Bv96PGbmRmXso{Bec+g)sJzDO91cL7G zyO4zkMG}&js96_#Id;8^0x>W!IPq4~(8$iuM=sGU?*XLOzExUE3JJ1=6L5t9DA$J~ z)dHFqFECFx2Yc=7=0m@|vb-o{19`5v(aut)dhz0W-}wvEo~UgX=NmwHIgC3IOAt69 zlG4(DVpASVMz=G^ZA!nU@H(5s-dOd;(aPZB;zAr94;>Que6QGparGyL`}NL@4mPj* z7!zRARIi#1jI1PKzeeA`Mj9GVE&e8l_G}5Tm!34wh3TC0)rYCmd%Ugr$^nhpkkmF`#~Y8kE9c*YU zH=dH9Qojcf8s2wDMs-=^cLqF*zOP_Sf44%^)*i1U95FVg_QIfi#}2>SHE@^Us<&#io9 zTlp17tN-<|Y^S8jgIZF=n~mc!;RZY)jj-^-#>-8Vq}IkM@1$E7fSaDTNW^4h7^3L9 zQc_Y=6~+kM_A|lmyA#IUk%Ta*SmCxkA~#|PadLKUFe`VbMi1%SI2^U&ytt_W(@)RM zc=uJCTALE&wXAF>Os{O$a=U+=(0n`8a^QY1D z4|DDeQ*3EgR#pHBKPO6cE1g%R?PjXcU~+J-!4-DRe^NL`|9)ON%w+a3=C|1g5E)@0 ze^O#EEuKwNutTun<9`POa@h``HCFhB!QkC8(j0&~t>$-?&HY4%zV89y`fk{^uv5;V zTX4u4va(`=O8tFdcPL8&GPK{nv!N<_aBz^s9DtgE|7cKN788Z)WtWDhas{Gt%^T%*&&`Us+k9@UuolLZas3A)<@_Z9`B|QK9TV zcei+U=Elj%spV%)L`dlFrNG9g@nKY>3x}3nQtSnq{BS17x!c{$Y z;a+EiT&q0=GqffvHy6>_*?C@g(hkHJ%#kaAsLnTM)_hyf>FN96*aZdkus_U`{1Q;# za^n}gS_*o1)PeH$?c4W2oWc)^Jl;tm7zIp^KJZR~@Sm|TFrXqKA?f=Q2^G=sU|?Z& zKiuEOB`13i+mCm2z!eo0y;e|w@wKB)47MeZ@*a?o_124vDf0!*kCBnzrOUC95rAe2 z_0{Frof{nJC2-ZIC*d?c*Pi02*0M5e@FUbKtE=|u4)B2h z8bPnZ)PevhDQTmifwndum0wNw@Gu?>|G^Q%5Kyr7D%ds$(yF}W^Hivrn9#*hOGcIE zuaCNL-WnRRJ>GQ_8D>^jSIcC zuLmjG78Q8rg8^xr^;L9reML$}2AA3ACJI@L(>vv!Of;Qr_Bzc}DLMk>tK--6c=&iP zGBzn?VPXF?pSSeb*vgj9m{TdaULNFY5G8l@LwOr^x zMiMQ6l|B*6VZFGP&;xH0IGk(;-Yeg80FB3x`ENajLK%scxM^NK=!*!)4o} z{zEe-EPX)cgC;@;5q|<44tIC= z6BpNw{tj}_x%Xh^;D_N*_NZ&>BLOJ;{{2P&w^t}QB6sZK5)#LCZTDC}$q)eEADVH$ zXX)hXD)HtGTI=13+#T>xe;)c@3NR$d-t9XE{BukiTsL8uB@I3U;@Lu>Pm2Npz8M-C z+OL6uubU9WT)g(49%)W)?h6J8-Lq##f0Mc1-5vLGnExTLs?qUU+$p)a@kT^OUI`_0 z5Y^LzR_n09C;*TX%Yba|PTF1u3+=}S`F-D2SUhNZ^lt`Sw;uG%amwNyGN>TRfV)b; zk%{=>O@V`Ygp7a(KL7I)Lt{WzllWZeKq;YPU>pM&H3h6TNzm)%!_8zH&8t`VAPK1G z=;DBP08#oLSY^+iKZo0zt?cXVMS%qXv|40IStB~k=!%SttN=EF{I{3g#Y?6P-yVr! z5+e>hd2pf7C}4%j8(e@?0l`E1`SWKd;7Mi{7t5woR-SUlgU^F5 zrDSWpqPf_g4Fkm?QKYs4_<&ZE2g|~{RV>&Xk*I9!8a4VtY8b=HiG|6ZuVLlrNTixC zkN5uldyVy7ajpD(ttyLXT=C?QWx&#K#l*zKOEo^id?_q4Za0DbpC#q3Hs{_Oj5HHv z`nFXWfR=xr{qW%fI8yRdvsV?&5wfY#0hYg;S6L||FR-x=7g|h?SGrBc3g5!61^g3d zFl!^u&dxCWEn2>LbWXTI!F^U>oYIDwjg1H>wofoougsLtxwvSUo1Y&!UZUC82Qv_! zfoXA%g@r|^BzPPwIH~8^zxxRAJ+dI(TlVVa2Ig+Yef>IN&idoamoE+lwxI8bVDy_< z$h#U49U3~io}E|h0HsswS7QW%ffPIf8WEV_VN*?>j){ZvK;GVL(ZakcHKv5{*jOSk z-D>%8jDUK52c)5tq+~F-PAAaiFZAk__ZC`aZ5jY8i2#gld1r?SxR$VwyxYnOlYIL& zZrp`g<2&wZZ!8fA3h>mm%`7Y~Z1_Xy)8C0haM{}Key9WgJ_$k<1LZRrcd#Y1v$Dbk z@+sx$?5sK&IlIZPeZs@D71*ADKP!dT*YhrKY|z1OqNkUtRcR73?lMQoa?>bsajE4= zJ%3(P;D;|B4yagUbu}lS9$Jr>5%~|q9ji1&&nm^owKvLcZ-kr8N9$7O1#vmb4Y_3aj+th zl8ONA%5!!Qr1vA3j<5sI&CN;5%ST-ScZ+QxmCv;1;6fNHN<18{nI=9oZ)wR$QbxwK zD-;WCOpNWpMkeW%B{nFw9?Md+??IH ztDGE$MyXB+8a^HS-LQGcBy3&f4)_&EPc&KB)zv#NSyo^My0Niwo$5#2XtjU)E%K)? zv;sjP5dlQt0DTW^)}v|5jAejM6gy>j`YMV0T!FCOn60;s?2zF~6#_;;;;{=kZ#hL#rL_wU~@MHCy0 zBYeGv-_TiAQGpv57dO@5O8*2OKdinN+)ol=^#?heV1}2t{wYhP$KgVBZ7p}n>laoPx4})JsM6LOP`Sd9%h%aahr=@l{yT#TP!}3!g2xgkg znZV7W1;IW?(#U8@+0*p3-UZwdF#39c^YQ81H|uk`i_6Qf4kJ+oh3IhxBQGznIv&G- zouY!HtJT;(k;#b(6L4x?uajrMPC#*Z4utB~=c1C5F5uGmxQSf#jhmA}LU7-$#mO82 z-_ryX4Y7!S^Y|(lBcOy|D=GD!Pa5Jt7?_wkBk<|j{chY+%8N8gvNTGXssTW}f>lT~ z`-SiI1h^2T_ZGG9$#42AF!~XAczCWGg<%V;`ucXTQvz!oHj02d=XX9nT`&eOc!CPn z2m|OwAXkmw^=n7l-4b^eeGY|QX#YSAG^g2861g9b-J+(D2K$DE)1PIT&Iy?{0z3! z1P(^!^%bz6Kfov=j4UfEVuL|eY19D^^bDqp670(b$cdxMo<^BqwBlkAu~uIv;lcx3 zxfiy~0xJVl2n-j%%)v4AJ0}D#_1BI)7F6hRqKFs!Ny}#_2FzYUdUnqMn>lGP(ixA~J-yUgS<)J`(d?)Ru{~fxrlZ z1fHC@0JYrE(%cLMQfFRRsZ;~(UOlbbZk89tiXi9#za+(^`TxW~dxqylR<;f(m%qD9 z{OmW|Qr+ladxnV~vNBSR3%<(Hf)CGIB}2L`aD+6ZXYci537zVJo9f0}bQQ}@uhV>R z?t@n>PX^H4!9jmreos->B29hR`^f<_f8PppbZ)yyA5BM12iCXVnc4hX)qp=AMG zU&K+JwbM}@t*k_yojD*zz-ZN~wIkW+|Aye`=om%DgAI7oOV~!o7kC5!$^{>Q>q!e7 z3t$O2d3YQQ`;3i`!&dwt=1!iThbQ&Ft$rRi`~4bxEpuF!#_o}dt-%1rCE!83`JxuA zpcou4>%Og#3dV-ZS#r1$t|(T zzs!!4YRac_V1RpX(McW=aDW7`h(iiI;BJMHv3=31Cv+&t1hB%J2!|e_P7Uwy=n$67 zp%4@aL!QjyR|RiBT??VVY?HZfkZqWkeA#{pzlpUc z4&sVK+=s=j3WJts2vi70ZD*bcPw4O!*EX}MXvxF;@8I@JOGgmUk$R+h#WFreqN(Of zOn0e{fKpCGlAv{R3gVp6{EU`KTga@*YucmKs7m1DG5 zVtwQ?nN-3RAKUy;)Zc<%kr4W6HerA@iB|~iW=$5ggp!(i@` zrt93u0pSbvqn`N}_W_h#)wQ(uMtt0BUujmApJVRRCF!I%xm+t?21?9F#QlLnG#`yI zFuA_Q@yXDmAWFrGYkgq*U?P3ahlw7KR)B%=DdSsAcG~Rl#K;Sgr^JLzPJ+)@k9RmIFa32HO>$gQI2fe>ZEcVQ)*zKbFSx^g?B@wNJ z77!^}K%hH{QED3yEmhT^T5lQXwCejVk%XMu&L?BggtSg0x5X|aT{#Tw!XRN<$Q!Ui~EApe;l!dm$RH`ot2R<=9uMB##SUuUtckcy7i ziADEJc=#G>y^n6lo6=ExKQWNySj{|Q;{N*MxN&v{+0O2+7Zxaz#p%XyHPrX61!T&1 zsz{NZnwhmDPmt5TV53Hogj67kfRKDpvG?)M{@8jrEeq|Ri3EpIOHBVdJ1>1r#pK0$ z#^}17M>g7)Kno}j!N605TM@X6a=0Bu?HQSnH-yd3br6d8e%{-3LGD|&)>Xl+OK(Z_ z@W}#8Ox?oA8npE#25E4S+x;7+ke>y&Psd|1EYOB@G!7UmuLovs4WC$>c{&I0<5Y4zDULKxrwxIs!4(8B57S47FOZ-YbSUCB8^ z#M_`$@Gb>Q+K%P3xS_XkgZdT*X`Yx)6z2$0p6g+)(`UF(a21B$RdBzJoje-|kOymj z#qt$FaiOz#$mcmrV`1!57FOMH87|77;$lp1FU8&ZBM%DIXzc#DZKNsC&1(c~0s|lF+_FAtvdmjpibc7bW z^49y2oxB=xJ{Uu5m>=&Wdt0?33Yz)t`&IAzM$pRoYS1rbyM6aiD~77-TS?h0whg*= z{mI=#d+S#wx^JIzZzRxwhDgTzIz+U!{-IinyetAu^eiboq;=q5qpz#jiHf7DL3zSD zTsYNg{=_nl$DI6H0v(z9r3E8M9Q6w&i?qKqKf0$`W?q(of4_(ue71@T9tSN6tHVXZ zF+Sc~N-lLcl!-SvewG(HGy2VeNo0ApxA1i5Hw2DyDR?AdOnIYCD1F0IjAzluZXH~e z{Cea$5_Xv~Z5!R@5HrYLqFf6c8nv?jcWfDcX=Jiufe9{R1CrSwM1Ne>>Hb|V}>4FISo%3k#NDdQQTJ-ocVN>dO% zyKyVQO(zjVamS#=4xB_gY|zB?fW(eZ>wV~i$8{wHXESDJ9`f`2)tP$_O7z43lkaot%7-VQ2B$E1WAkK9U3!A^WrH zG8xq6_e4l|xOBx2!J;JEL)XkqBmKAw*^6CSibu+zGGnpJ!?l^qCg z+$aWKe;i)k(ITgdK8Jo1F#1;$eMa`8ozIjtMmS#97r;kzrFCY0#P8{it_>C|SP1Ee zG?jV#>08W)@Ag(@B?+^BA0#rB6s7)$r`YL-hg%_96(XKY$WC4)Y--Qw`{ml+tT-mX z8?h13C`=jXMPN1LU9q-7&(p*++L~UK9TYC4aZcc4VFlht-J`>rW$x-PC6P|EFCOwJGBQyaoFrfv1V591 zpA&!bxf~y0CBi=P(h!}|V?q0}Bb=&?sH+;>vL@Vd9h~tgq&GbP2X>&hFQU)P`{c&Hodq2!0aCnewxy4< zAF*X3z($Qp2`>CE1>&OGg^}U033vkge+=k-3>k9!TP#Tf+K|>y(}AXg7C}}#$rYzt ze0KdT-TA(|Lp(Yqot;+JxsHF>(frb|CJzrgenO^jXpIqGenT8^3+~9-3==DTLLCpf zmi|l-vzC*4X=q@d_fsWOUf7EOzG8iS4(FQ}ASziYxE-oLB_$;kP?yG78PCYIaH@48 z@7X<)Io&@#YzE2=M&8dv)0t70cJ>HvpE;=KtlNz;XcCr1f{1*_9_@)G^#B2hJGvJd zf(0bkUX(5etzey9E8;7%9I>0T>YsuLgiarSed+OUqYS_9D3HD_<~*dDdqddfiLVJN zZ?_f{aDdRhSMx!idi>^Qzt~_R*W^Qm>-mx3PCD#-D-YcMPD>>O%PVint)2hO%QLvu z*2FD|e}PP~rT(WCLv;1w;rn**_#0S-8++RCqDZ;M=C=vshl5AM_(M9RciD;ge-jy_ zwGJt4Y4f$Re{-S{AwnYA<~>`*v2x^EL{NF}JPc#XCY@v3%EdkbIIqDFfrAk-go;P} zB`f5>m~ziNoTvGs(iPuB@#NY;HZ`Xu4F^;;)@ct+LhJI!v{C zbLy!3yb9kjcD0E)IeC_qFR<4v^H447qLjs-(<1b;AMI=ZOM@+z&FLH8=E>Xw(=>5R$+bRvlQZz)yqp%JfsVa`rv{X zA{>v)U}e>Fv4d=;&O_By3wQ4BUfAsM6ag4PCb=(B+9|u}M0c$kxKeTwi8x2|JGeOT z%0}_Cpy1o6!Q?q0wjqEb#XrZi0Y`4hHZ@}(Lx`jZ?nplQ5u^HZyReiYaaQQ=4v)+B zA2C_p6`|S{mvoyh7N$#EnZHC+hOtAEXA1LAJTaCCeTNe{z9IVa8$?GpSRS3ff2lU1 zE1nVd@d?J6|Lc!f?NLK<_&3404A$I6KJG$4ipeT+@+s8qrAy2OG5_+qjbkFWXC3@} zZH^tdF7kld+l*kPYQ)5kr z)1{=z#w)F%V7Q8P)2&^dW!Yz9$$b2#)-B+0Bc*hlEDztLq-F|>{s6O-RKd{Z!Co+u zcYq#wNmu{Su=4rIfr>=l_ZkIk-`SE~=f;}9JI>KL2v3CcIQsgqs+y}&IcqxlM&sd} z3I#Y+V7!nR(@NM05-s4FZEeY&d~t{}^PNXh-HJi4Kq1J&n?|odF(fCfSJ|yiGiskM zRZuI0wu#xv?a|A4NHuzh*%$Zg63XN80TEV^JqrsjfT5E*`;Le^y=?+y2z?FdvZ|%1 zhz~`NbazzY=oWA(JI&x@%w@9%qpi3!2^zETIqty~5_H(GelXAH5kV5 ze!zW8P9CbZWJ~_xneA-Jt%Huf){X#iatd@+BhbSy5R2y}PYz~YT3UJe+IEPihno@e z>0z1Z?+008ofi_jI&3w*$y01sE5;QEc1YM3_7eU*PXQ5*14Q`tS3!7-n<+AE+=k}4 z$^cr|U>i6S|MlXnu?mvo97~|g5|W`fx*r$$>G#L_{B4QJzQSkAXpWq{exLhp+Oio#JMg*xdEa=C4zPB9q@F$kv zB0y$yBG1Kz&kMtdYhxjo5~v!Q8DkK6ic5j!C(HC7MlF!JDI&sj?h8oaJ%^* zv!YI3XVNizdhA)%oPB%g)L)6x$g%6`Qo1G2F&n)E zNsVk7DRL)!+>h0CY8Av6q>z*m_Ut3m#%yN9%OKBUeQn#BlM$eO(Lt1@smF_n4%m4$ z@imFAay>0R3)cCG=|dJiZo=ot@NbMx!v?-(%rx25!)i!SE&8+-p{m}IgB7Hoa}1z- z*o$UWo5fL~y!v5SUY1Ah28@at+F`9@uSIgZuS_o_7mZ17{^-oEwOf{`OpXu3MNrJd z;0d#2SF<`1XTo9shmr1Ky{@jw;$u@PW*-<38*TN|XO5B(UrJ8mwPTK&#gtCv9l}FC zwF?mw34VTMa;9ZpXI#-ziuK&bV_CH4>6g8Gw9aQOp}>?Af08er@e-%QS+jk(Xmc_M z7Y_^7luWr<3f)g?5t1KcTKj)e4K^uCMB-GB^5j56nE;qoRMSR=)B6&WM7I4AMh%39 ziCBx531M(lnUgPu?YpVDQ%r#V?A_~x#y9Eu%p{`oSP=g4L@4$`9sLMkE79@si3 zr=`qMgy=<`@4QzkzOy^na;;pwcZK!rs@LYwf(2R-g)l3s+$Tl+Skh5HV!Ptfj*fkj zUxQO0{;WQCY3k|1k9)%i+{qxNp({8;A{rWIbFYyx7OxD1=&!fAT_VzeKWs>g+TIF- zY9aVC@sB_3r9MC7VhvncBi%Qb9mY3oX*Z8TT5r#UB#VKLn8}#$jnZ6?R>;Qv?+;1 z3l1(7a+J-7!gNYpMqEtLY+Y7EnTEq98n&35EECOV3yD?XW@*WYt(POpXltbjW&6y1 zRn@lA2$ei?NaPP3+!;*4qQ=@n+#6p_Obr-i2XrjNl?B{`TeZkH}c{bknc?fg{aqp3U_m0JAC+XRu7@E8u1EE{+Uj%3qg(Kh%Oy#|kKuvtojLb>+ zI#l4|(w-V242XrO&CerLzcgm|s^Z-^{n_w*xbI`+ue zbCi%!9{OqwA8MFHNM%+Yd9TZ0_B&4`#WhXs5HYrZe*uQfo+5BhPG%j2$*(!e$y^V2 zxinR!2+&wOqxHTJyo$jgKRJJvjVFnk>6YQ9Z@54t>YA`#8Tdx@?h$Ty5`ok)MM*@> zAQmXWsU#m{nE?#HsxH4zPfH|haw)4Npf~)QI~MAbt6|BZVx{1qwA;5nng0$7fbVzk zghUuW{IVkF;SE~;0aKK~fy&Dmnj$MzM3 zla;Wb>;carGeZa`?oCzJ`47K#IvR1mZ*G<`ei`ryC@lLr0aOPT+cUz8s3}T9dIoGn zF3>WoPqXSV*srlKVWvT@^iAhqFDse;|3SI8^G+SI^V$mz;co5}6|f5U+}6fM2y|P0 zDmPU_C$9jRfRXCt**-XfC>`(jfH?%h1dmFm{*)I*kbBrTZ-Q$c@l~3?B5m zGXKX#UaUpx7BL6g#dP!#gb%B9Vt}-W)F&^WUaNayI$;5En_9Fce#)Z3c(T{nBnD15dc5lu^ zQ1luf@O*QBz!`cHxDb5R-e6YeXJWVgfHMNXjA$JNCov1nFIt+`|9j<}$-a0(BlvbY zdv}-nFD7@Ck@dU#c~vmUjg-hf=^3Y{(av{WiG#34I7LL0e@0*Z+Qa>2FR^o}C`g_C z8_+|drEVyn5e-v}D|Y%B3C#R~nOj;YV)?DMLyiX-$aBeoWQ5D%+5&s3>^{+bMx#ed z6|vs`t;skofv?S~B%m`LSbmx-;Nphur-+T-pUh5bT?tqJas-DWxkH4m_8a0w(qWNL z94G?=9eGM=5ZB-7t!+(R|76>=%Ahtf>ar7hL~O`R%ej- z6ZWVOf8Rq58rLv(I@2okMR}rRxXaEUPnY^@Pzsn{*qe8O9zoX&spwH3V=IE zsq70Tl}Jb;bPORv?=pb@IE>jYNRdAViJN?*T8BuFuu0w)lV<;=e4Ck}G=4S>N{~cC zm$r~bxsIarcgaB3W_PydIh7<>(P2Z%0l4Q_C~q}tDP1id z!~Vm}zabc{iO?)>(fn;c$aE5|@L>lJ^i%RMBK#<(9sEVS|I$0$N5H934F=L$`t~*b z%9_M=oYl*Pe3(x)B;3%0gjeU**teEV$rrHxD)4@3K>%AEUiYKGxiS}Lv3Dj<0MZfT zXKgZ?WXDOOE?wcMZ1p|j7*#~gP&2$i_j~&hQgdGVJT?Qkxp%L=4sBXt`*A!ZQLf{# zO?F`Tf#GiNkbq$5nb3GL_9C6OK&7r+N0)hchzhAC^ag&6hakIXn*kz+>tM%eJnY^} z3<+z*r%m942)FHfL3yAu#_H6?I>mOZ0)M=|K#}Ra-*mA55<-o^?%JIYN)(S}juL>+ zqT|4m6=@UOHFOPvdwx3rAdydzaC{0g2ncQ`N_%o-+dqBEFkh_y@U8A!);gc7Yl)21 z$ilUTqa*U>bE<5EVqpuuZe72Am>$%hB=UK+Wbe0`8LzJ3vehSG-|%#3SnNGXR?erV zIbFUjBF!iqX9=~WYwdL{jc}HBYCDRTV>G{A%`|rmqHv`-xe_v4Tic&pkz#im@!Gn2 z<+%{d&1Em;M+f7Iq2jb9{8v+jF4>)G6KD`-R}|xh6=P>rG~)K!#ENC^_U`R%MX?XE zm&A2Cl{?il*(;g8RCz<#gEExVQgw^Idc3;M&YMKo^Y_9K{tex@6NDc1)#4%rmatx%5q9Go-`F)5~n=@2tzdA#7vvc!dCS z#%V+}4RB!ka@0Z`IOCOXIl5M`nI%2CVDj<}&;gGa)!zn183K=gk4XNFn}jg+QO*_= zryMC5kZ`Xhm^{Aedv=YDPQ_tH0QMzXnU}p=VyJ!^3610DzicbY#@r#eyZJy~uB#O> z2aDR;77?87V644u+1Oa+PV{se6D^7U^dX)5iB27Zm44Uq*1Khqb`sbMEl-5()0-rx z9}myaOLCR9)L4+ZBJf`oIQzz%Zh@K$fqxAZ zLD%fvaY|UA6m~!$yTPQxznI|CuTbI9Tb;wZV$G1%kN+Lmlb=IAx&210y!C-m;@~OfYHhXGhaq|)T^L-K0=Uh$V>lDQ5V4Wa>elWU3$c+C}5GnB0k2%77T zWn)~6syv%CfV~?y9FZ+2G=eWarJ=vdedOk*2*tJ6|EkWAx>Sr7GQl$P zE&1OP#k_($Q^S-wW(-(=90ImXQpVvBC+ zSywx*j0dXlV`*v3ekebcJq8NQpWlJcpMjwLi;-h)_f`cv2*3dXK1@Asv|mcNBNWdz zm5-&ZuZL1?#%aTfUas#=N#^8`6D|u&fj#Tt+8S~xH@c2J;#~DxC)ba`CAP#+D6+>` z!auhn)CJ**_>%l8iCpCyb?V6Ck4}vp7mE4nHh2ew4n>j|>EQtP3dvD6X*T4*Fg~a^ z*B>p@2a4|gKF^03$0@{F!W{&ov^`FUkb&jEtpE~2fZWC3nORbBM#7_(CLuPV0V5Qy z1&Y5u+O{;~eG?>t?V-`3J`c0FaoSQ@1UD`sC_4gaBu5dz>+e?xY{G^p8%%z1k=c5 z#sZD*fnCk-S28Z$G3{lAO#h#(^E!yShw?*<`JcrSJXI&ms?R63&oArRi$Rx(x+G>( zr}k`Y9h$u!!K%XHbPaJ8wCkGqYZnUF7`E z`qpA3nTyv*&(@!R{cVy3>5)H@+#*zgi|El0xv1ra&Y#l4))!#M7ar5f&(BBAX-o=R zG(tU*plQ+%NQ;s}7Ip}cqwoDF5yH6Pq=UxFoDk{y6QyrqD?S^wi8_-}xS~(1y{F=f zgsXyaPssv9h96LmnyW`&a*;;=Dzg50@lkCjxqO+7F`;o}&bwFOZwY<$UJdCVd)9I_ z?~YR1C2N6=sZlHOCH8&{0+~OTm!c++y|B1u*miPQjhZMmNr^h6P{7!AK%9u4Nd73< z2#l=`S9s1p?=#Z#M7}dcx&AO_IM6ZPdqTv#_+#KX9WwfOUdm8S6MLaD1a3JURqjaQ zbu$j<0TbthT8@(p*d&g;^=g(h&{$oL_?0^i)&rgNR?Ve#)Qy5)$UjNnoCu?kvRtl) z8p`)FE|9^M;tX(Co4_*M&myJxo6jw|kNntF$XVgLo405Gb4)+vcr>4#Bz1&$GHpO|BLr2mSJ&)BEM=dHmwvII+4sS=;bO-RMI403mw)31Lp) zmwX`NukKW%fwTenOS?CogJ*6{vrXo8`yRRzty(`y{jy#^_0(v&lpy?=tCh>3TB05x zsvN^NfL1l$+ag-Zwon9E* z|N12J^fH&g(VYJ46@&jcy_n(PJGwLSV)vz*7}+}u86=xjGS{~{;i`2#&-mPx1Uzb0 z6LCLi*%_oKQS+#5px~k_K$wW`IPE_xkQ7P(d9fR+czNf>`i|oA@LU$5ou*pz=_e}m zBusfGi}+{6tieQTgPz~?{=8T-LvQF<5Ig2}O|=pC zY_)hr&8H0pizSP@%N1J;8D$@DJ?NhqwuV`RZTOJ!d zId9^NpKuthAu!JHoY;zfnc%V#T6*|A)|huq_(BF%_*2&5#?_Nx&Yj)wmCRgzHDxPV z<+ue0!Y$YZ>!^#0?mLkt@L5AzJwKx$B7yJp{N#%|lF(7xDw03Bb=RT`D13tdj~o* zm?oobIvO+kiPIXMO5yjn2DXBCi*TLRqAKo^A6kRjFxZx#ZSAIYL|4jh?H1Oqid#N6 z5Ymch^y`)|94Yb{Cu?^nEMQGcEozcTYmAT-m7UG!Qo%+JqmJZAsIsoGQFDw^+s28I`SC}u`Y?+Ux^FZm^CB8LT`Vr|Hac)2GzARTlC<5aMxhL z0|a+>cMUGVEx5Y`cXxMpOK>L;oFIYV4gucg-gm#MQ&jPDde2OEuUTugX129FC0A3; zCkA(zp?D9X?J%_D1XoYu5&dCma#HZifD?okTSTSe?-R5>rg%%kg=cNbW;< zyCUl58%thylIl`JsDm|rdwcomdZbOm!#6obo*E`m)E>nrGNH*fMAqag`$_Ez+lBr8?%&W|3y3?=OA(8UD;1BoS!9e z+s0?vz$H9w`#D1uISk|F54+hXeT6W`2Dt5dQ}K_{n)@Pn$&^8|ikkgKl}MALGRl54 zA?@{Hhn?OSh3;Nt-~45iIS5cm#h==*EP0k-*Fglj99BB27w|0CJup6|xB;Iu{8^!L zkovYa!)he}wCbH@dU42!CW6-h{!q{M*)?8UZpJ*jiWL zQa~eg%p8m6^e*pgOnd?vjs5^n8z%>My5QuGry7aFS@>Z^$$?TZgyNZ$d2A2BELiBST81TqN&3gDkEZm494V%z(GH5Aw8U%Fj z<%LvDvwW6xCoULw2k$P%q9`6N6>dAO-0)eW4jVr~q;)=qzy{^euI*8sXyh{K>;1LM z$lW~gNXjWwnvQPncjG_VDD*6CeAzP9^T;6`oCu&3GuG&hp6DJ1(jY?}wJAr9#k}V~ zQ)%2g|>VSPj#`wZ2!-7ZD2{jB6yIlPqkkI5>83!@vG|<7H>G zLNn8Z^PO3ufR+M`*ne&|-l6f?`w&WxF^R z*3IKOkwPo_{R1|Q2)ubvBYwg_|DG`4UT#Is=UMG7xAtVI{Lww(#zK6W^`*t$BHn1x z)}oSy0jCnA&y++X ziQdP0m(OM0ES#~FuLY0itr>Y6V;DLoBW3|w?TJ?UxqKmf2(fXTJ(#>LJ~WqCRh%^# z5=*alSS94V@+fB%j2``6Vco{&-;aIrt7Wa60p9q$f4k}0PSC>_J}}P!&W>}rI2ykJ zYuR!Q-*u)_Iv5=$NcjHQ_wDE1Q?)BZ1|b~3B+EfC3`lG?Z6Mm#6-`=YAp2e`@mubp z79Q!$B3MhdW(>03vVunl`gZ2X>LD&z4I6p#~QfAq0lMP`UjVlHeUk_cWhacpSO04Tbu1MSSaa(xe{ewTLrUVYUY*Aiqdo&OT z;F_uulYMy1`^FpZCs_k)z0vWT3~oM5^!C%zuZkds(9oJK@D6+?*L z=gQ6NdUt%(-5g!`&Cb*l7JEx2iKXgMV>$T#OBW@!__g%WF+EOX4Nlc9+%wa|5$gMW zRmvQqy=2Qo)uG#l9o;ocFVtVzNvd6fFkM*XKZ$R`iU0C2Wlry&uo5$&Scq)CsNmGP zYHT;ViflUZ1rTn4&tpOwvpYu3N>6{kcRG^Uoh32*pb|TbqdvWStY4?|bC0K+(_u+N zYa%AkU5j}kn@j|LVB5i~cnid`v90Y5E#)zyD;@(2tt5!uNJ+7LyLC(D&lmZU?970zlDD1joKQ}WltF0yTdoD3pFyOc&dz;Y?c!c~}%rAAeGc9PLXOhC~; zD-aT=aX{S4_|152r98TdVd!lS%z>Hvx3WF&aa4Ls6%-3w77?+Y@S?DCcfJeNCS5}3 zab-B<9g8>R^2V*U#G(+!lv;&Jg99Qezor+y;tKJ3)(Z(+atFat*Y5Z+x^HO?1|T2W z{IKY^$yRTh(MC`lUY*elS6!aWa9FKx2d+l=f?4g4u9=a4LIx8n4%nk%iH@hz()u0W z1LA9bG@r(#;7&b^&R@$H>gh3hCfXX&aU9T`W zGyoOI-&&O5YK>~zsO^L|9{RPJXe1b&QD86mTb>^_vIfaaKzU+>cQ-FxG*F-xYfHt`jSAp)85;@cfO)ORMHrFkz7-VD`e#J%)yoP#4( z7{kVE^MwoO`%ZYe9i4q{xxx9Yt%GUkfy3{l@v?&aSd))TuEAr+BIvu%X(TV;dI$Ot zy*+!;r}ors0Z)*`_!T>quOjUZ^rJ6m%@4_Au5e8*nv<{m5z{w|JLuKD0KCm{Sm~^t zv_Em8-k$%tTVb7D0o9f8a3N;&*~zebfk>~s)qt}~2@D-oEL}b?D{+e)dhjJufrDTY z$xR@))~Jm=bJEl1)RyyS%Ah{^>g>}Uj`UkYag3|PnAAzaiV%Zw!|;m{|0KP}{KHk` z_CsKB8T#;#F)a;t8-c0H9K&G^vo!fNCa#M1qXI60@5X$QO4IV?C(#*$ZC!e&g0#ia zH`v%mapLeeBydUJjEv||KqwS?X3pWTq$V%Qq~Uz)!lhh!4@1^0q~G>>aVsPH#F zHDcfWJIrg89we%w-uL;Ij49azo!7GWqvbdrrschcG4s(#*~uQ&g@|yK&Z3(xRCXn& zGQOquP9^rU$2sU?6pHLZaR+ed5pv}@(=0?)OD#<)4An;O;rduc3UWpjR2gw}8~2$A zVrrg+AmnIN4eApZrCCr{fcWt*S@`bfEpqfE@w1K^+cH8{WyFlIDSrHFtT=vJMNJ{qXwp+Ud)jqNj`C!TD-&A*wzo$D z%jxT5DCi4^Q{WLPd~`6|!h*SpdY@Qsp3GW^LZf6u0wgV-07R|8Q32pn=d$nTM$xh)4*`2z1RYCc~jQzoX=YxWmshv*htMI^xLqjp~)bXlh>&_-76iWU>^e!Ao+X9YO1#vx&s@kU~a;)W+V^jzPro$0zjcwP_sQbe=tPlf>0(JL95O5-wu_Zjpk?)d!OoqHx zY;pe7Y`-CCWoQv9Za#=dcfDhDqxh{f^g<`bpX4(}31h`T*r)jm00#y<$TUKxP(UvQ z6(uSYnKt`-#-$3$?qI6$;+%CRI)!2bjNoW=U9eF5`7qU=Y|$YC9OT=A^h$6z@-!B@E{5hBKvIJqSVHYhitR7mM+Kp`uw@G_+%6K z^wf5cc6sm#1;OpBn^feiBsx#^5LQgiJ-1vf^g^vyHU0?XX-Jd6sRxjhwCl>&5|-l$ z?k&D}3_89oZiuL!bG63~;t>)wTKpX_UKe}Z?3XL}nr|$$AV^0%FbG3hmRIKwYEzCc z!U?eSrXI&`<~W)UlLAQ;K4`v4vlP~2KcZimFDZP9_#?!n=r#~D5o*Uy*D0G(XPk62 z;6P6P2>7|8naNFTJqU*v@LZ=&qNHQ7S5>nRaF*_=)XPv|ew=Uk zUMreEu+e($)oqQGbZuHV+eT>^wodb3e`gsb9{x#2xgfNXBK&)kbF6@`w#hhK_5?oV zLq&1>R7bWlG*&bm>ke^3L5Kle2;UB|u-LbnyL_Si4Go|jzG&m4WlaS)IS%FUDN8KD zeqIl(OIlG0Z~57u!<{cjC(RQbA;rRbs!9zQO0tQ5k)W=PG+hQ^NLhDsTl1wytQh)gHi7LWW>f0(uJo%s<_A24#tx!i6{JnGP8%TC=M^|;!y+< z=7`Jagp%J=03}A1COxpV?iu`-6`evTTG1aK8oi)AgDJy!#^V?F>U4MXvt(S*?8)Dx zjTTxAXbFLMy)H^phyo6Na^c?&5k$kiqf=X7J>U@zmCQfTC-j)IUCWD`w6%n)-igDN z3T^5DDPN8ZOrU7fPO*40ynA#~j2x=+v0}LdkK-Rq={5-lXpQ>xYZe%%aWzs3=6^3$ zwF9Y-VC{tL{~KXlp-#16De+601(x;gtR;{nZIL<@tQG^X)C|{+>F3-sW`T4&N-ZxGQY1|+IE;_W& zaPRfs3H>BaBi8Ld%=V1-X(8*+!wW?xgps}$4KKCsk<%d5QOpJs{}ru`?Hs3^h=2MM z=Jica_H5@BdB*wfz182aa|#V3@$$uRO*Db`qSx>&&=2EZQo+?E4ZL6Zrb$x^BMdQp1tfjM5Z+K@Cxuce z5?w|dyXsT6|3zZD9zLO@{F6AkX7hlu-0q^-$omlQ=obT^?6iAq68 zez2FF3W{do0@y1{B`O24g~BEgixMMP@QLxmAb09un=D&WS}f7 z5;%X*B`YKi_)6KLe0X8Ajps{|HLP9_jk*-gOkCB6i>BefVlm)K$~?U=dA7j+d&_9P zcqxu{1RXin{DX=D)q*Z3eoS(DOj5f>+GH~!4~aZj{G2bhb)N|x9t`8oAz!<4FlAEj zzhtg^CjGw;o3WHcD>F6Wee(J5yuVCbBjYR&KIXgySM5>yw-iWmdrO9dWVK$AS~WxN z9=2E*=}*~}g|0t7Z{`|vI(Dwr5mKv4nixa&>$a+*?v_u4{*VrKP!MvzDL2SqvfHH4S;rb(pkeTu=2 z9-4=tv93E&CwrE>b!Y~${qlY+wW?fJYqTGv97y86U>{U}n!p2qERaY8vjVLQTnc~Q z!f$HIFJ9e+WrpftahRa~t`F`3LJ$RM`W1CL9P)$K&HM6`4UCoj*(F(Xx1RwV`D=?m zhh4ZBDTaKqyTFnR>DF<5E{Z?!9vyRh`P{=@h41%fngMtG8h9f*=X@_LkepQ6N6p zRXWE#|HlPL4~FTRE*C?ekA2V<8a_;*9w8IQbZ+jgUzVC|Sq`tk5Md$AN`A!l+5=x+ zlI2_~s!z8bGOFksvxWR|DYS=_T1&8o7j6A)@iF>$17fhjz5K*S-iuG)!ySyEM5;(l zY+?L~5{hUSi1~tpfU^$N`G+yQO$hdkFvvYfPOo8o_tZ*GAqHu9=du?tz!4D6-9|^{ zNcOL3GMbTMN&Obxp_826q0wc@l@}^kw0JCyAt0>uS=NMeF`%)9o=&f_8AZZ$FGE>P zBpkDSJUIge1`0j6nOTW85^B`Z^Jjh?Ba(y-PLHX$7}QrKXjTlW6zGKoGA0^-DzWh2 zck0&+`GjI`a& zDb1!(vYCFa$ioZMf_0o>w8@<)`hCGXMn z+DlU+n`E?kYhWiM@`8~na zP2SRST@3}_g)se1;t9*74#TMZ#GY6C9lhUp-L&cJ7fWP67_5s5K5p2kV%EWc%H=bl zg3+`y&-&Z(54!bvGJDZFM4{ESn~_U47+r|$Bbkgp9&Uh(lCGkd{9ar9aTyA(=y$Rd z!nQ*_mJ%T%APRojXltB!V=XHGm4xvn{FP#Av3LpxoVCFV@4kMLo;K%B7uEYH5$%Oc z9-H5W7L;!leLsS3@S%H{go>LR(nV2s=9U)nSOt%wc(7qSXk|`eVpW?8lM)?EG3jY0 z8uBJvpWAI)w#?=XLcJ*+{;YOd7p^KXZH+ln1)dg1yfphV8grN`L&bAG6Y})RO#9(zsB3 zy;i&joCAAJ-P~}(P>BcJd!O{PfGGiaPu56Mi6wlIlKy=z=1-Z6)ea)EHiD=S{e9aJ z-IzgH(1Q}tAUa4<1i^i*@{Eo-?7&!rhh5gb5In|CzBGEf(XM0(3RYx_8rlOwMujGq z-r!xs7fik6#pB1tZ*zF&wce!r0j=BN#g8-snBy0yAH&@BYPY1-iH9(;{!)Yd}UG%=zhSl8d89%DO;NxuEd6?gQ*!_Xui-n7; z>o)J^1L}tFlN~Y&N`6(9?c|fq+xjW6(P{|>Q%@aIgjuUnFq50)=JD7LSwFED%}khl zvmBxf6(WOaj_MP}hv!$s5B{OSMvXuaaPo4)(-4TpxJYmA|sWLBOq{ z1+L!(?mb}D-@X6b3|k~Uk3)--L{st0+HW@(ilY3RK@yb2jTbT@G9CvWi{*l;TB+m; zQB16K;H@z~qX5p<##rVDAl^B}6yZD^~x{S7^z<%f?@i z5n)BP>3IYOZE6*~kq=Nt{k-RRY-RlMv#NQ*$ z-pIR6Khm3o`~dR>^E27 zZykyp1mYYS1ZAgpPs+NTt#-dMI8NZjAELd)8rWd(&4s+L$a<*5U(6;D5afF8ogF2V_dxFEmPS6DXv@%MY^AGp5kir!Hy|`2y9Yko<{DG?Zx3 z#kdcZ1R&1kfO6@1H(6*Q+o4V+-)F$+WprQw%J)2obZhhFWb>TM?~2P~FIn@v`m+y` z;lr3_PP;&{)_W!<5pMvQLV+dmMi2=gF=E(+e53lq3qw>*Y!dM=s6=TQ99FBocAh9(-Cyp`0rNZ3*T>pd z#Ms?)IKOka`$oYhb|P*EBZgd1NogrCJ|G5|$FlY7d*axM-}ACx3}BM93s{9}-_26^ zXXHrkxf<;gSE>mGt*CGQJZ!;3fQMIBK34+^i-BikUy1TfSTdoFR?OZQ>=2>fY)B9=&}m z$ou>IZ1%aCnWEz2AxA!d{a*CQ&E&U*qTkwLFcgz*6Z43anytQ7>;)~RL}`^rgJQ(! zVqoFmexx}`G7>0Kw17AeMmP*cWC%M+O3AL#3O2BEg{3G0dwgL1&T=0gX9B{C2%)>+ zDcMgf}u*v9AqMhX{;6aNPt1=Wbgacbz%vGGEM6nQzDb$B9 z<9W1!;z@aE#B*>~Va%42zZV#NEnXG-nv5AqyszjIP@BA?kdZH}%@O$w9TJ8DPO$~kLfp*sV_|Kf!fwR| zZ$%6%QG|cXoG=@o8#%8g`Tovt(pHf!hDN?qef6aq7D7u!1xguw0Sx!R@_Q`xiyRC? zv&e32Xb7Z~jNO_ol+1ikYq%~XeTM(s^FZ^mXZQjOPy_nhd#;H80%LMU0JlgDySxkl zA$T4mlIwB9`T=g*3uUH@Oj)w!ToH2XBu)#tWgK5zF)XfO^r_jG_{ah)tdy;g;5%{k zcNGmrsC2&He0OUVH)wr7Y`6hNf(u%NL=>!wk_25>Kniz(PJCDzYlLH#ch4=y?%T!o z1==vmFOYfWF2A%Wy#?Wr#qa@^Td^C#`8ah6MM;DrAmL}Ld$ zEh+4Z)O}@vSNyga~{q`XxY~gFiu(GK(Bl*Jyt^D z6@mfC$`G0<#KLl65;h^AhzyQmfVTm+K*AdXFKlBu|gYNM*XL6sY?#x%R zt-z?2YKP#7WeIgKio;%cnXwlPtLKC|#KbA-U5T_R`CApV0pFo@QUaUwyH8L3N3SyK z#IHNdpWM*wXi9XmH5R{3TRPxYQ3D%dzS5ePm@QIx@J$!Sw<2ehI0JavWXeqt@bpzXI7f2*~j%%*l2APo~O^F zhCDVPnnV;;s~Z!o%4yhQ$wyKYJVLc{J3(EY+t_Q7`!@Hd!Vgn(n$tn@pU5EE0MmaaT z!LJ|#i<&LQX9ymdNO+_sNRjbM7NRF;qgUJ(z6NSUC>m1lP#`Kp_uabau&|oK$Ao=& ztJ^He`QF>ke+au_II}oOranRWlo5}gsN=1D9@2ke18Ib^-~!LH+MGe}VT0L-INuPx z5^r(kjPXBTGN42@=O+*t1Kxu3muOgOB&lg-l1@oZ0&|>0YN2Vj7%~qaOwqOb=kzSY zDNOI%`XoFZ+Y!hqlq1s^PHPqGiN9LkEt(tIcZeyAvEWVUI^)8_kVV=sb4C`ZQM&ye zWgMq>Xw|v6j|9&mA(QpV=HVj82FCw^2aEsiYna?>({QjQ+`p-ABdr~f?+rg@;PXZx z-~H>u8c6>cD&QTY8spuL>pq)rR67DMw#t;W8gba^A)(OIXK3>S9>edG%E1S$E?4wk zf)D74|Bjy8D3c!{_?v?XOyqNm5r(sfE`;y0W-Bk){-@h~q-qs^Sk=qmEWI^{pW)#cLK!}Ckv z_S8SMWNe1JfW426bU0Cx0e(t;r#1c9BfCAChUdmv%m({#a1#dA2a9%P)wkey z@$y>rTE8d!Wt=qVj)|^SwFxP@9wj;-`)N$SjFq|I*LV4uTwf^1WMc_U4Unum?vEP# zLq(!NEY4_v`i1-+O**$*6n<#on1$g7qDK}Z~UvB)L|SK>x;#L#N;z+0JIHY(tL-#K74XFYW=CP7`5kaR70{{G}*WI zg(CP<|N7BCY%DF_BN1gVckDQRv+MxzV3pv9ckmc6L4z_!oCw~5c^f6epDIEYR}o`v z68+wGeE-LlZ3EOBGF_FIPylJ>cstULB9)4WfAE1e-+v6Kc2wODj^Ll zDQaaXU=Ol>YJl;Hv2fQPQwGEGdH#s%87DRVbqlc5%9jI|7K2z@0+zT6o0cLTtue4) ze3kBMDZKAUq!_PU=a-iQP6QBcKXEbY>l+cFPQX|IuRVd=V8P-?JuUty91B^AqPmq? z~!QSrok|lWzxD zDBd63eS3S!+Mpp~cY!^^&#+dl!O;RQzygtTmO6a`)2I}h2i4gkRp}9OPeD(u zf*1}06f9sN&JiHFG(Gfm6Z~uA;y$hA=KBw7AWd;sTjt}*$={zJhdCc+>+~Znp!=q_ zM=qz4Xq9t_imgZWZFBjz)IyXT?D{bgAR4zF5Iiy&4lNiN9uX!%M)$x1_bXU6q``|Y z1GQ7BIv4u+oKu9KA70QKzDh?_A`Z^ho$E*9It%F+NaS~B@1Xuc0`c@n)CA(ZBr&iW z^@ljb3ul+oFz9R@oAZYBRQ@tE4h8htA|h*cX85RLis7g%6jbU zf6!7B7w~$>zhYec*+M51}ctG%ylkwHz`*0$7hX zObFLiB>49_#`S;T8m6eBx4V7ZgFYX!9C#7MwJ-dEBc8$~T+yI&cO$P1eL8l`WsEx&e9VSeln@?(v6^a}&&U~jw^3hgT7 z$P5VhMb_t6ZA6xsnpwIu&cxhM{BXv~&(RG>wOB$EDGh2b6pci6a~}kz+E@k&Kez!@ zxdE;K;mK6!AsoKjdlV>YWHYMS|2uS@!0cB%gthE(!$W`2GhqsS_p6<@^jOn0`1o zGtcclsIWo4GiHvv- z%=Zij?RxaOgU)WIcCOwr)R6^l7Jc4zUB}KUdQx>?XcT(VEVeXUkNQ%B6CF;GgUTni zxfjQ}=8SS-dGuNQ*t#EYRfrJPzW|xmrY`?M3qK<^Wk4hlexoBqNf8a;K%x6xQtdj@ zB_gC0N*aG$L1}rSlC!JM)6myL7pX%xcmqw}qZz*;g_z0gtTg2o#sqjR+`2}yx||2Y z()1XKYvVF7%CO*|BU}#cIo&ymaC#s>>i*yJg?F6)M^mB`Zq@gXV5O6Q+JN-%+{I_-c3v&|Pkoe_*)17ep<)ri1Vuog5Vc7kI`4#Qpb4==d{a zC`F9=bc9I)i-i5U&}(v($KUe+Cth(vq2C$Qcngbx1++2+%Q0n8Vy6`Hlc7Eb>gY@+5b;r0-#DNQha!O^u>i;xsbQ?SOUo?! zsD+daA#0YOgL5`USY0oqbSg6eUd|^m)-Jstruc1dXGeWn{^ZC$^?z52YotUW!153; z44IHm-eNMW1pshFQJw4sHwKcsajTz@#iJyoM3CewEV9bTj497Dj~Y+{Xvm=hk$1SJ z2*dwq9K=vd?J@6pJ|ekXswHU~iYc5;ZJidu6lerH1hj{|E;+a$i*%ol4$s%0vgZI;Q!ESTZC$6?Ks=$0lPvE;W`ioS1lr)Pyg$CLjr zy=R0LCu%Qd^})LbC`mrC?Nzq}3@~2A(>dxzQh{V4=IR6|s!O#S@6heJ$0O;w(T4X% zc&7b=s*Xoveaoc(kPUyG2gZcZRkz<|2?iRD&D{MCZi1XccZ~E6f3-dqcK<`;Qt-F6 z(9(*2bejue8dm7D!2v^&wETq@*fjSx@9a`sPM{5qqE#y&pMSy)&7>YW&($^Wmw{jM zq#K>QcM)0M*A+<%^KVoH@~^G*;eQMm5QHZs%01wX#a=k&#cM} z==UtxQWcm>d`p?N)N9I>uG$pu-bf`#$l9JCxybP)c6V=2ff&?3)@Iuc(Ez{93m{8lMzvr&$MVP!NK*gvp|9jvbCt2pW#- z_n|So&mC~i1k(CXBEZ)xeY?HM-m#k{%!L!LEUs{g(1-T~4)>Wti^}hZJBKNPjqGh< z(3lN}W^TsAVN{!aTN*%zawqVQN5Zq0uYg>HllXnma0-fAL@{-+{kn=Z{F|o4*xF{? z2@jXva3Re2%pr99lZzP`A=z`7Mp+%?KZcI(pc8BzgL*s^{~ITCjp|`+C(%io)p-%d8#q9<)B*k}|1>2t&}lDGOk}cwN2;Ym6+d>FIq4 z|Iw(Je#>ObMD~K)j;bhCA7?ZJR4Q@fK{_^e#-?X(9TWmLpw-`bX_U=5|5EpC7pM1L zFR!}%aOr^%%-HJ-MTh~-D%t1Bb+0Y^>I~jQfctgqmZKbq4w^>${`+SUt0_Pkdg(}? zyunA+i@oZztXhj--jk*(5xZZ=>fj`f!6hbAsC7E3u!>L=*+ljlNsT9A{OeSV>o;(d z=kr_BNW|)SaSTmnX8GcSKLf+#-E5O5VvPr@gS-p|vp|lLJ=aen+H%2Ak1kk1Dij_M z6Qs~?UI#X>{Z(FQq5L8(&@l zRQoj7X>D*cI{w?MeFC|1aY$SRBlW}2O)Um@Vye@n=P#7SkVY7*5lB+#!5?f+1N#SR zkX?E7r+$OKn>Mbzo)2*S#|8Mi*00|IWTRo6Up-zyi02_9ad{iM)9|sb46a^82auzl zdGmHzz^L=mQ-qcBFV@Mbn)2iQc)mBl=D(ZT8u?)Yy3Q_#dTI5^-M$}VHrA4oz0kRZ zB<_6|U}$y_`fQ)kA`y%}p%`8GdMS>q*BR_UrtYqx@)O?ThBf$Jf>FM>U=%E$-$AX; zZn^IyS%Kt)x4cNl(nb>INRBuXgfCwemJ-I&z!q2*Z%0!|N8q}|V}|PFMB^0E{;S>h zGc@^EXYJ}|`A5fsIs&^ovy~6wzn!z})FB#UPJA`2-komhzJL4l8q8$E=;-i(pY7U( zw{bH$^5CzS)s>Um1Cmn>Suhr$9s#bo(Oub!143kKE0mfy2yyluE2EFyt|hv1;1qhLs}@oYyv5G)z$6I~a7(n!J^*7reK)+!iw1 zODt03!*^#b+~0(wBWFH{%JDB79D{i+&$Ly=l67o`p~I!+hn(W7WsaqDLo`gl#O-g! zf82sjPJL;B0LX+R@ZAFN|$-Y802o5A+_vwi!<8uC@G^)c*~Z3LeTMXIj^J^okGh!I^rS$F~>H(S+=+4sFkL|2o%=4sOIQ)sNPj@`AHtkG43wYCAAlOn0!iiYT=z3~JUK4v08{OG0)RtSp(f_(LK7Yi% zHf#@Xzfj(DYg`O{9#!c7bTafO7*bYIRU0OI*S6X?ha<-80rA9SC5DXqk--hf;U})xr)1UEe%n4PNnaom-uc`D zhpE<&HE~Q73Ab%_$(-Jkg`=8>#||-F&=aK}toO%?Ti%ClLX7Ef{kmId>TJ6Afb!84 z80iC$Jw53UADPN+`d$hx`tWovKCu8Af$}P7dDSwjWNQ#18a61XkB4Z)X{-(J?Kr#} zz`Kd1m#<1RD&xFGg|KcTpbp83CIHlWUmhuVMGI(!O{Q+S6d_-c$#7Ug6W{oI*y2r^ zvS)@aFE{!BL$bbo)@WC03=qmQYHQS~_Ec?T9Jh8z75x{m^Us0t36i2(&<~U_6%U18 z9(!X{aNga>1IxbxIhclo2`1p%(Xt;VC7t4zVmFrz6q5ER5%r$F#UO@>A_qs{T21RB zIf&^m>d&ali(JS;QpoRa9MKr(UG&8scYemAH4Pt5d?Nz=BjE04+#gJ%*MA3)O^=mW z62yeXX-uJYE)fb7! zKe+OBy!r$X_IHUts%4Iv~{ zfs4_KxkHvDs7FJqx_aigwMOwrqB^_l!PP(dJj;5#<>vf{0Y~oz!LU0o3kTOvAYBZ^gjI<0o6BM8%b8en^jtr;6u-^ zp*c=!YV^um3-bT@OyyQN2U!P<1^YZnJnBfW#vfF);iahZTlZrFZp>6!PVKz5>Tg~A zYpoW1j_&67h&ZMZYBnj!e-+l}6&QH9oeh9f0hPclK#(^01AKPn>pJC?ZK}_2Ec^%DRp$B|%7`E8segD=Hmjf7PsF}s z@p2~_pSNNuD^yx;Q4H*#!o*vG3=#qaCkHqp{9G6vUzl45+d7d_PES!>@o)5W?Zv=3xU}(SxJzI5$Gix;%O6(17hv;UA=BH zOyAy~8F#kMuOcl35t#n1^NMd9=rF?TD}YECVARVy@3i!Ps#s0w$P~&@z0)BnwQqpD zs)x$zs1SUIIXWER`PMyahT^jQBVV)u1S^xfLRXh&TUVq|rny2^nuYAp)xFfhhPx{t zY(8;V(Tf$(Ze0w*9rk)-P_}-iz(_QTF0fp1B@%g(t?g4^5BR=;9lenq=FYiCWA5TY z&vuW@0$=no`tywx>h8wI8tU#TlU8i*4+r3i018bW?rddMZh+57=PPsLtuZ}t;sPjp zGl}F`e!Kb2|Fuhv_xJOHx$WRYfoOe_{-a?fUNl`}X{&6VGjT^rHrc| z#m1{{#_MeLpXI&MN*@pI?{LG-Fr*a~l|(=;v8WW5{}^42KyAYljYbO99m78K%qj>p z$H^R*KyCyYA`DGdu^DiTgl=Jy2q4-m+ZF&i8pGQEVFJzK;r>dNB7hhwRw`;3N9|21 zNq1L`?2R+-J9B-Dqkt5=btNPP*`uehPIcaWNV`^ESz^Qy5EXRgan{elgz}y&1LX50 ztJSrn9ia)x4>`Sr`R@~wcJxUU`TYw~xv%B7X1E}hUo3n{GC24vHOwt$-1kg@ln4Jh z(B;%wSb%9~VJPu4JvAY`5fH(|&30D4DI#C;l4xoK+s@LB(WRX6#)a_wvQ{Ad*$9k3 zx`9(p6Loi3n8X}eV-YsRG!Rz^Zz^&OO_-GZXLc|1h8F|9Z20lskL9ZVhn6XoU`CJy z_LIXTU7tVzvfzTUCFz{N;ko!lsTCvIpBU8u>VStR4vafw0`@HKCZMFSMjXbx_i!Kq z(2f4lpew)_Kx<$}M3S1xMPp#MKnUgUI|qQSIkdO{eW;!HT#0$Vm&8wxysu$>ci)iaIJO77q)Oo)EQ8>}=#9`O%_pc^g_p3qz$P z=zqTNvb5+Je{>W{S82dT-4zjo?-%h94(O*MQh0nPtX6`Vj)$d__1@C4nKoen#{!Ab zYn+qsDf`{O(v6cvSTT5E4$jo=J`|Wo3{*uCAHEEHq5}ol&6YqjU7%R?AyyE;-dW(^ zlY;!;5yZMd!csy&m8&1PvF(597%Z_-jotinNKsl1R!3SqHji{ z0*5HW{YHQTMM;yG6<6aTurhFD7|S2xsc>*?Rdm@cW06q)ltwD+`p}6>;Y0&FQ&+3X z7uQ#XRN#Thl9`bV&@X}srfrKR(8x$M6~*z8%^FxmE9Q6GIJFpW^2)MPBelYZ9oI7n z>N)YhyB)c$e9Ur_Inm~+HfJF`r@@a!Xyf3BbN^y-e$mG_aG}=kl|3E^$mQB*lp}8G z3Cs2zx32tB1-z}w8J2w!9#MVtW$vu!n#O+_rb)gg$IZI$QD~T}*7)jL;jd2hMBg?7 zw9MMR9V~;;{*U*#s6x@^kgqc`@x&2dNzv@j z8yqh zaE)@5eiKJ&I4J{Wc9$^tD<}0REsc=-m-r4(D)%$wdB#m|hAas$vNzhj_vw34#)UM! zGpisC#Vg`ia$BkyrdUO#{D-)t1e^qR(d%*2I4`lNHay-&zQZh76ywT4q%mL)|G8ie za-HxnEQj6ly;gpr1BPeA;mo@lsrjQY6{l5W!eu@ErQQ>Z$w^n6_<96)7qNGl7arrG zjlw)`L*BL~(%84lh&sWb&i|6t?%NZs+fIcZ4_78~ca^}m&jfH2s03UNuVZ#`_H^t; z_*bUGYXwbZXBze=pBWR&6a41D0;x6}9Hv=lDSTHl*PZz!tYf+s87e31Nj=}1mSXkM$fZxCmUcE|8gmoxOP3dVy|=m+@uduWzLw42PY<{U7` zL_MdmUiTzud-%Sz;sb|{pU^x|eBxWa2`zlA0hJ~_@a+RGY@_|JcS^;OkBGNgfNcAk z9mj~?q#H0@oRkNW_zNBSKAU>v{nT@tq0~cli0TN7G?0ZxJZ~$9q5mgD+$8ZM{HaRK zjWYH}ahHQOePN)9w1gSAMXU0UQMXo3A&(Njcft4Ws?*_v#WI`<_&PIK+VguCD5_D^ zHMXycUVhYlN&OIQ9VGRSqQuPBY3^yfpy_CS(xW$=Kfwu3Hl5%5>v!mH(IaVCw`U)V zV#Y~A=K1LP8E|MIYRHp^$xd=Q2j&a-hlW>+*H6XMq`F>l=enfIjz}D@-%Vr)&))ME z_Q)?aKEA5+T9I?i@VacDzs}_Px{HYw;63;%(7J~TI5lx)A$tHDsaGi z<}>?%^N1a-v!{s4TPM+`OicAQ40v5VAJ&||wY(cKImc+Rgnd(6zd zc7DE0Y)WWoRt{lq-JXcH>11VQP%<4d9NhO$?|X5kZd{?|wR~M?UEH!#&vnh0@3C%F zmUB1rfs&nnZhR|G1+yj>C1MOqh%(Z!PUr(x@yG@jrAd3QUr&kQj~K{YkzZp(f7)Gb zZChTx;MRHqp7+1V9G38<`4}15R({LXm5~wNH_STN3o@e^8WWH1Eo&Us8%9>h`BCef z`ZBw^g^1ltBFE#~&Ls^7^xSsI^mqeCV&1ssBdd8H!!~)OLuDP@jg0Po$YO zE!$Q_zOIVjXui6N*Qe1#ZLV@l8ZM7C0YitAj}=rII zqDYM|p&@;@ArPEYh~<8q&^<8`t1F3*d;7{i@?6;XEU9svO89wuyp?c6K2L?(N>^0; zxD3AZ@!2t1N#^h;2tt(Zmg=*H9$p;UGTM3h2Ff_gto1h~$9E#LXct#n{9mNg0A@?$ z%6C+8Oa%O?e%+i#;TMO!eTEBvyoH3Zuz%2Txd@U`C;c8@9!?07;Qr4N3#sxyT{}^C z?k-nY9l=^g%632bKtdpnumsQod=(mVOO^Cl%k`)EZ*Q7zD_m)5y`HtC-6x8 zZfVgiy_fSyJ*;$r>BsTUE>nuTbMx%&Ly{rAdrm@6-7ROCVV^Eqa^pL$t!3>rM(sCJ zeX$mavY}2)Fl(-cQH+h%J)_RgQ=1tmJ|bEUr527|I$QAYtN4779?D*{R(sAxsn-2s z$p(2NFFcoZ*4fT8#SCHvasP}mkrheBU8dlvbIg$x9$PuMl$PEg`^gWdrG5tuY*W1R z{-I&}0ts>9=os$VQu+|nEJfwP`^N9;`i}Lpqv3DI(oWRpL$e6alRuEl+0SNBhGyRv zn7p}7c6Qe~bGKS-+6ygc_M1*4mo&~-j}HB?fokWd+0Kha!@Nd4>(|E1)u^Z;BUfCJ zqLWvT)_x&#N@lXS?0npZ2RXE?IY7;Gkld?6Wf^dMKE9LZ&!-0Yj}Slu<&$^o1^g90h%=OHFdu6iNwfqeIZqbH zcOI0x14S&h^dBn#+I`u?yFali^_27ST{d#uT>5%TJFJ^7C`dCy+5$gz`AWI6KCcnC z@X6>Ws+`2piT!R`n7W#O9ee)X({*vd=QUY5g{1lRu#>8}hz?i3Rbo<|Mb!kcA9Yg9 zFcZNn4YF?X)=$ShGYpt)6BdUp2d4*_L~iEUzV3AdY0n(SEET8qDGYL9#jRdbzkz8Dhue|=iG z5#3|2VCN?Dc-(zy@EMZYg#f;Rr6cx+J~VquU^0G{>71cywtXI zdOSF`e_Zu*Un_o(=bcRD?L^Dy8MFHYZs&I1^RM)clhZ80(KcH>gG^Mg`+KE{6PznbFsDfj$|A?l0MRW$Ma8@v@oI3xeg3` zUj>nzw%;-;dv;;5`cN9;?Q>ZzIc)H}%3#>Q7z*Fj7c%C2HO6x3sCDPP>g)$%u);Sl z_ZQI1%R5rw@)Z#{D){r0aDM95;Gb*!)K#v(Ix|6z5f#;lB}p**^Od{&+F)tpArYyU zSfx{touYCD)~PLOfY7uTJd&oOYQ@PAC+r zcIU<%!H$NqnP!;O4z9Iqt^wRei8nV{4HbpWS}(*e?wq?dH^gMcX9`twyC6f6c#aC&q>S~?2@x~}ZkwWuiwsx`QOvWZmAys8M?OG_(Gi#Mz{7n=8lA*pv$ zkUrqnd!c*OX_b}cWJ#s`rN!OecAULxYAa>@-)9J~=+jNjo5|RV9!MUQwn3kwpL%EQ z;Qlk%=jYctz%qKEuKT}Exjc@;@XT#o+AE&{cu+%l^6BY^IjN_D5(l{FQwsB?RvcN* z_E-fnoH0kj8TfgFOrdp*al4toBo@$2BZ;WuNL!KAf!DP~V?!A-!M)tMZM?3gCQM`28y@K{Hby1xT5nX$i4%C zDFO^@izA7aPy2se_({VMyn01caXsvrzE(ys|6sRg>#tRcam~F{7hYq)OcmiBXWI79 z_Sit@LsAx`@LQ(Nbm=5;Kdnw@Qg{%gIx#X!<4VBnrJe#sogoaKObTs%u~KvUW2gW! zcG+O<_G;8%W_GKt{j<|kR>xzL)jeYJw+XH@XU~gz!cwnUP&+gT!|;mYnxB4Pk9kZK z)_KjG%%y-oT{_oly;qX5S7N`L$a1@;rq!pUHINSvJCk_)3uZrIy^lRVR*$yh*Q+Pd zdd_8|9+KK#T|^*h1BnZ4Y1=u*@cezp5T)iIX{Qjvrz}>r@6U_{mJdkx%*;DDlg3ae z%;#-G%pY*?s7Lfuz;0a|dD^W+y;VU)6{4u5kZ2n5?GN^l;%vaj*f9$QKVzAcFHOTn zW5oL*QZPK6qPP!5N?&w&KF(6(LCro@X-_*@H&@?CNKe13B zOXau%X;#W$Ojt>vYm%5+qpr8Pm5`lx*Z9sENz!*#NCi(eIu^z(@KHuKHVKs%gG z2@#E6l!;AG_zur)Q9xE1t`mzd9YeUAb>kx>!_BG|tx-=wVRb1vAXZP_3=ChYd>NN) z8Zp`|wX=KJg7z!X7O9>%e#jd9`@wliGlEQ5tJXfg@=;Vj4$`nI(}*it>h!{|kRQ_6 z{+5@i50gByZQZmAQ&(I7rwwpYR)V9UV>=`?P2otU_LaRe-IwU@i>cwsRB@Hnswo7m zX+*x;=p}j5t*ZHiBt9q9n_Z?%lk=#INL#yP4i1-=&3pEIH?q+7HKSYEM@sA8{W7`5 z5Z7q*HN{Rf?b0f03 z#(mU6D>zyL`KW*%i+>Z_PFg6fWlHUgNfeHvJ`uL3lN|$_vl3u^aw1u@^56hoIxJv2 zzaS|4E7VVr)m4ZC&rdY0Yr-ZbDEiXcwXJo1K5C>zu=7p#P~93i6Pr_V1|j+99v2N! zP_;qSAckHlF27o)7IPW8xkjk^A@iGWYLBTYR8Bu-HdD-NAns zG0rYWHZ-M)e-X+eWYkKq-(BxMb9SJHkn@!MH~g>B-&R} zE4}%-!N7L;nF=*dH_>wBURjQCh?_38Mj4|K4`pxB+Qp19HN<$~J8^%7*6~t1K`AV@ zLr5ccD?LuO*bP%VgP0cV`}m~`*SbLxa3Yyh$Y}dQ97+=}mO_t&+wF%)r&8K--pu#j zkcL{vU~AoZm4m69GDIiECCi5qwufNLe8@ZZ#@W7&OLm^ttOo>9r-npIcw&%{tNwk> z?-e!gdK{Ee1AJ5J^PD}YjX1(O-Wl<*Ea_@c<3PT)Bf4mM_raYI=;{pf%`hU%zv!m; zC+<(ZLJ7CLEqlOhuS|xsDiOZ>*_~O%uUrss{f-r$X-1SMU2_Y# zdIuC*1h>7rt^DE<-(BnT`G80Dd|EGARMeTjflV1`9lL!3hH#-R%qrw9>@~ok) zd%v`PsOp>yv|+&VLZwDhp<2x4`ia~F|2jbCcm5!4 zVT;ulYcZwA*%sanH=_vtkQht)rVbra8bUtn)!>JOuvl&ftnQIA zN%ES{_3>*MxMW-VT4~Biz`_*IK>9KlC=!HW#ZdMx#e4i~)|_X>;8rN!6X$unvdqk; zGyQ)`-ozEMt6BUqM9q5*G#e5WCwsb2a<`01J&+4;fjj7WeJt!_IMbO^+kA*@2U@;i zt;n+TILo=1wEiq!Y}%%vvhMun-eCP3RYTIwop2 za+DTct;M%8nP!|a_KV{hT^Siofab7Wj^A{yR_Y!vIz0sWKMOuksf$5o6{6tnS{GmnUuLMzx^kg^9(IP< zm%4!WPuIWaR`}s?6d}d*M+<0~+i)gU0W7n(3({ zgdWk|syXZWPhXQO90J_pukn)`5CMksK`)6v=&px(`dV?7_Wc}X97s0e$4f|M_jCt|f`gdaXMY4$ zym`~W9X(M(!5!^|4iV-iCQnX=A-1+c@>2*As0N|q z=p`K_6wG-vovXv8opZ53ZC$o~4BHxrRxF>#lF#U2)7{p+B(asmCK#bj_ATtbmLe)e z#Ks6|*1f70B_Fo8_}4~VoU#bPpAv1jSA@tHDlYvtS|uWif0v5yoFQ>lB7)S&%KgF& zo2KhB%LMTI`r03yw_~d11_JueVt0RB&!_Co*5&pTGO>ZUdvQpPsY9B}>aor(vvuLX zDGhx4a)zGSlm}Yu>2kRY_PWpw#Pnu;yMuGi$8ocMcY7Od_ZAZ zox8H0LL_S}bQqXHNTum_RqxKC0?<#PaUsN$ zBWkQE+~Wy>p)H8M%ocUJwUH|*|NXm_$eG(=t>3~S^JAx1!4axX>dTh4cN#*biIr9h z%HB^u4Y*XDX`yQTBj26#{BFIhtHo&a@3J1drI;|NSRR3+e_Z|G!uS|Hp48%nUxNUo z(X7TqRumsFxYj_Q)`hehf8KBj^c30}Q8G7PV2RPBb-?~4O*V0KC^|C}yxjdLMHG%t z(6ldtqp0{(8oT%LsEJtAG_j4q>N6gq^v)rt_u z=g3(@mCbBsX=Fk6u6K0{!}XsG;qfdb4p?J5`9pPDNLOX>@;3XLm<3Eh0biDrZE1`p zV_^ZkoW|n?->K)ASzc*b!Zh6fA}*y4zY!if8CM!?LC$#87pDG0$kk? z&q&3+aRQvMMh;lx`Gudb8Sp|0UZ&-toEv9foMEbHBHVH?LnHkeG16o(z!F$^mip?` zd{l>X`M?}Q3W39AdcD4z>g;tXVipzyWLRSph=RNJQG*ucUzuuNu&~4@2SOVEU=u{X zHW{^yxt2VnGaQ^pWMj^+cZ&uFGwuclG%CHF94h>9`nyeiv; zP2yI3)HV3qE?IQnQiX$KA{uRfE%W?gMJB6=#veIFMK)ScRI9Q`Kv4y5hw~3>yVJX$ z6UC=^k&a$Q&0twO429&CHGy%#HHGD&;+c=yd0h)Pd9dUYL}8dqgc_~x^JQ)=J^*cK z#M?1EqlRIb7d$<+Cz^Bvk-hQ7wu-oX_YS6tWgk{hpRHd~m8+}IXF}c_M`gp;RG=AS zHD-ws5wn(Ggd#!1k1@USqubVVpij1Un5`gA#tn`5`sLNjc*6iBNfKB+GViq$bqZZ) zCRW5_l7zfS?4U&H|A33EHd+)CmaLxFO2~|@*d%ko9M_2MQ31>C*tBub11}_x(&UF1Y2AFuqyFAFe` z!3`d!9mxdayIdxgj}BiOv80UR^6Te)9F?#5eE)n9hZ3o{oT^= z@`D~CzlTU;tEHYVlxK;H^n@+E+O(zn9Mc&#)FfuoXAe#J{@So^Gy|)cy~21AH;3+q z$~k6NhP!SuAtGX&H)<+6Z;$VZU)F#2WePP-q@`8oYAN)A9R{bcawnEFLT_!QCNa=# zDtm2|nDe{)4w&Km3A*`TMI;dyIFE)59vEX_$D2Gu`S~z2yGN!Dlg82id%Zic_g>~HdO0Fj4FO-m<>>Tw$~6^ojy)h(1_V!J^D`jf;!$f7Hu*WqMW z3x#d*s{PA(Me%HB5ro0w)(pPkj9(&NH-p~IsB#>Z6Z)YG7t8Ye~hDt&=L{d0}VTSN3BJDjO#QimJQT+else$o}pT=CJ!{(R_uHD zsm(}({|mgPVJ&wW?#F;g^dFuC?eXf@=y6q6IN>7H>#7SjX0cjy>TK3LF~`vI;O_7K zvzuh)-$QK_fDFyO;o+KBN&*0AtvcDgnZ6L}=%3Wa3=W6bXD=G|f>Fyq`ZF!5buc<$ zeoVpP^cpcG-T~mJ_pvpW+0w|>wbZUwADZD?l5woM+w6_k&;DY%r`y=Z&(LV70n^G1 zKma-5aUkS=GDta=fN;;+TDl)iIu$F3i~!$bpO*tVmz7mrHI}(FON3jMmvu42d^yW` z=CE39=RA1X)36`n|>+GGkgX~0+; zh0?rF{$E7)6bg4GPif@}9kYN!?z~fDbNU_%9?Is3f;uy;NolcW!X&uEtbP8^!2CiaM|%51zLx5R zjO7EYd$G`(Krnzb;KfS1oZp~;SOqA2SVGQYgRR2@2e9Cu56h>9O#CQos9yh@NV50P z-XQ8;tIXmSivXjZuD*$9XAF4l!nYtc&HLXayw?l!orn<`0cV^H-V0E7PfwP6T9S;% zC3SP1G8ZEt!bP*O;ju|ZgWPr=rj95RNn+?p~SH)Fx#~?@#yH7FVc`NF9jRkyt!^=WAkv46hgu%9nF#9 ze;r)IU|8#*Ka1U3Lz}c&9!Q^Z2W(4AVgUzuQU(@fE6rsp1KJX>TiLDYMFpy$lH;yE z%#$WlCJ+xyvoa$i6g!X7wzfXae7*;{h3wT|Bt;z54BLL#KUZg`P-lO8aJaMMF3>mh zNS5O6&6f_B3}mVJ_2nw$;MKscM;mDzcxb%&=eO6;ux8Zs5{u9~qiz=ss@6ZtDqCCW zGd|zst5?$fNQgo$<^lm>(%0$mMAHD8j*gBWZIhFFyJ7hAkaRo9<^Xjl&hLR#Z+poaeeOWc~lqi|%LzED0_Qk(mto$(wAH_TzTMcd zki0xu_C7{=Ilqwc+M+u`&)`GqU6=9F{r4VxkO^b}dtzdqo75&gzuxDf2vRW5q;Cx@ z8-~l4_^<$NR_DY7RYgUG_u<$x)Tkvez{mH?=q-}F;b&*Q zlMW((ev7ursi_f_nzX#;NcYA9QF!u;FOU#I&A`wLLdIohL9Y35+_0dquw(uLHP6h( zh7)*o9Ju`(10NKt{ci*@5o~RBt9heqCU$?yfC^-xVI{q* zk1;U%?CcCz>i5nLe^79+fRGRlQn|_j&H;qV?K<8T7ROrsHZ(-m+1Z&>_E1eNE+d04 zR0bjj&e{j;MwyzKnL)C$vg)M5K3fHSwn{lnLU=QSIE%MQ@|jQgOr4}%Nq|5ik>1Nl z(VR6?2>&gls=E3IkG6h5ek@`G-T9Sh+DpvW>|*HW;IMi9I0-~=f}yD?Baj7!x>mPS z06Cd;8(gGnJLzdYE-Wfi@bzsx@K8~~-)h>Hmi)8R<-HWiVRUvXbNX3h=U_zRp(!Z| z35&EegQKHkWeeh`mA5xFP_?bIb0YfPs}DPe2~@3fd-sHdLh9@5^#y}pEOenPzc=htI#|mr|k8+tjSP5h}Rt5fKEy9(Pw;>FMbw+X7`?y1DHh z%{b2=v20J*5X)SwX$S}l<1#WbLfY3x^5YW{e!HK6mM_A#MDOizU3ND1`4L*d$cQfB z^sDJdP!W~0$(6I8G!ACRN)x?T3*8R9ItRxnPZokncQAZgRe9c+j62Q}dkbn*Fp{s4 zT~R>}ls{Q+-c>wf%@qKYx(o9CGRUv}0|QFl-eT#2m#0c-Xn}5#>ryvi{zzx_(SKCb zIbmpW;``N>@o&DoUhsKW{uRjClwMv@3H@b(7cbb@*xEs0 z`1tso?0w}!p>7+n1Ddca|C#N|Wjn2(Q@lp?2z*9=G64Yr%{w|sYJ`g*fZ0fz{{1uB>-pS_4R46u&`WCcFffu zKQ49AK*=&CHeVdg$h)}gIHL0(r(J)imTM+-E4LPqL23`#3V}E>_{{s`UPNpx)#b(f z6$*vQd|qzZM}nz~KPGgGo<>AQlA8paJ{LWDo$xi1f+OTnst91juEv581fFy;=9D># zq>@om-fljcexWr3NCg3vNhn}loToQ7dO`;^V!wU+cK`S9%2rl6qnLZl(jueK-A1?KTO6WCXxcqDRpQBS6{Y6coWZ zIc)yhe)9^3hN(?WirksGxwy*NuH)N&E-w6gdwW*9=dJ7-So+tZm6wZm@MX`YcU8sr z)G>sgccd z#n|k}j~{0I)H|KTd}iBoE%m;KTtPuWvnVM8Wx?&9?*a3_cBBW$W$_24j%OXCUO8X% ziN30NAy9TTq9KEXpC2)EaNx_Fbdc^iUmZDP@{-xTCj*?c^48Yu41Sve&1dUHAf=y74F-fQ_r)rd=r%PR|9lPH&1Vlvg z4;~O+?lNAH|K)!Km$!O(#Tp%eRJ}Y|VL4grNb9*d`D(&6kRDU!X4)M%89$pi+gwZiE-){{#+S$p0rGwf;Mnx5#pYBV9;i7yE zC?{D21juEsP6vT^vce%oBeTX~n}sp-66}zA^n8QcO3rz8Z7q>X3?2EOKYv1Yc3c)g z4It0U%bT6BGr0ci*DrY!lXNmVy1OT5XGAnKG@YOoVgvEp*z}@Wan5`B8Z$5NW6eUH zPVhTJe*Dn#@`_CO%o;1n0x}UX*LyX+wt$wMe%4q5kbbweZt}#tt$e=^FO&A%OkyHf z(&fj<77A*hT!}7mXlSUsfG%{+29=F`m7>z00pJlm%n>KKCoDsz5Ra|G7sPtfbD?-d-M96kGrYq6CGa2Y=B=4vGxEbrp?-=Vm*2D2Saf zj7JCy3lG`XfZ!t^euDw*FLySp2A4qflYjb@5(^vqiKZrEVZqFQ?=#20f3$dmpM1D_ ze`Rp_aKg0DZ@UE_sf?Yg6?r`8M@q$K(hV48*S5Am8$c8DpYo*w!IVs^FlZcjQ?;i4 c-}`teb1(e9fpKN*9t6A|C_Ppzl{X9eKfBhb>;M1& literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/feature_mapping_illustration.png b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/feature_mapping_illustration.png new file mode 100644 index 0000000000000000000000000000000000000000..fd80f1e41b3d6e836ddc81b8fa7edfcad8b8d191 GIT binary patch literal 60261 zcmb@ubyU<{+cu1%q9C9kqNFHDgG#r8v~)L$bV@fEfS`c1baxCLLx~7TH$!*BkVDtI z2L|u^`JVOt^}eoat!tcd_HXYqkMlUsJ-)KiqL@UOXlQ8I;$pAm(a^5J(a^3^-@F0d z`Qwo?Qzka3Y7_&O&k1wo{>{HccxF^Bk9|E~-h59{?n;l{v#Sby zDbGiS`1&Zl^sACkLAXikm0>?VbKhYFNtf6s3AI-vn{UwQ`rf$my!?lM`yDYcu}8O> z*8~6l4c0f}<08pf%IBVB;~4k5JYg-#c3C9vvNJ09!@=A**j%y?XHyP1C;% z=i=qYvoH1+uRMJyiqS7#^4?A)y?8bG_9l?S`5#;%BaDkzjt>NRE?)hrzcYO0;w72) z|Enbttd-|WdKwm~GC-}SJ`L%kd1^?-@v3o*J0=@ zt++m3-Ohx8rkR(R_=iKaJl;-BxU;e|YzkS5br|pd^%4DiXC3$pd>69w zY|qoGL=5T$F73c{RBUaFhvv{cTb-7xns!x@r}w1HEG|~GS?K8RNtLuaJK2lY!a*yK zq3(1+>8roLpO%YD4WC-NZ@W{#(w+-#(mIZR{qBW6LZhOxhKJRwHyeq!Hm3sp(4hP> z@q3FGdm9_gQpzqiA7O`&RjSn0)t#Si0ehS5LhH7A8f6y!y)pv1j2fjhFJAPlTBH4% ztI{9et}5|3*Gw4=14Cbx({{1-oWz(-C*Q>aQvVhZQc_Zqkd_`8bC}50Zw-$;-+Ea) zYU^F?tZZz?<5f<+t_RlekusTsgM+QTJ&sBeG%GI4 zn7s>2OduXA|B$Q<(av36HS_ZFLM`6mVitHEDL0Gh&$#@uCMH<}d0N?ngQ`WXSI{E1 z=bZvC%oF-?Ys;F7n%eaA_&~kfD)B<>M^&O1#;v8Ppb#?O5u3fSVU?><)^UDx=jH@C3R+S%Fp?_<=r2OIr~OYGt5)!Q9BM4VO$=d0U=IR(NCkb>(H z*0T6j^S1tmu&C&{J~dUME{}x;9rZjZXd>%9*_*h~rk45mlXH*sWJ&`TjkJZq0==E% z?M~EpV=fh{)rPc0ZSB0W33m;C{+xcat{uCEe@FhYvjSVO^f-#%T^q}uoYXxR$x7Bg zb=|GBhxY_iNh0Q>E$J@x4c)4Ou?=7$BgRV(6?OG2;0-22h5FEiIG1ycU6e#?DvgRk+_l$`V@s`?p|wG=~hm zO5SQP_TZIC^|4EVp)o5cDW%TNz8`bj8&fYei@eZ7)1^eJ#E@EUk52dWL^B`Eue(s= z%B7Y!9=Ap?!)n})LgV9^Jv=-vH@>FGny%&cN`Jcc!kWZJ4VCw&8hixvf3p+%^ zwXV2w^v4(fpAC|1Yp)EFVIlQF_P#qwn2wnlHey-JNKQVWhPHV4b59-RS7h%_4tEYm zCQj3;UH0fWIS0>0{&R0wV@xp$6dFjghfP9QqewAwYiC0{V6>oWB+J{ zO;~t%n#)>66YA^SsINcG%Fb2*GR4EkFEJZ>ajr1E@gm%dfcBGyjZG=I82DWX{S~x5 zUGM?lc~<*HnXQ~FZ*N};WI4CKe&Kd)F1x7X;+u^@m1G1?imk1!@7=#|fRa|gTbJ{k zTCVo?Z6eZ&!su1#*x3hAdm=#{*+TI@Hpr@r(Z%>|oy+GU2#uy>W{Pjmw=2ASi3Tj! z7OTyr1EqrU=B>Hb63YpGqWolyjGP=5?ePzD^Kr7T>WoK@?%sXn7f7BpJA2dX3*tqA zU^)7B-1bFS{DsYKF`ChztwPVk6MbWKv4@U+rNp59N@_Z}tiHY*y-JL%NaI~`d5IPp zzN6J^!mqDYl!=vJ-_~BZ$atRL+&1bkB&4MJhf7S2e+4k*CL{=EW>(PAWRx$Te3&^j z{`2*vk`kK{EH9*VkL5*xQE%Gg>Vx@Mu%YEO>nXuDmsr%nnUIkPIA43bfDRTR6Kf^O zFMUi*y3ijR;pTQ@i`^6wlFuvgYU= zB^3@^#|cu0(Ts@`CgtsgvQdu-w-GzU;-01!ljc{aPR^VQs6?n*>t3zx0%tQHuTn$D zz&SswwN0Su_WV0>`8RF;(34$RB^B7niRs@v9w!?<9FoC)ekP$oaz^v8SJcneAASov zhhMt+T9x)o$nd`csm)tlGy*29xx6Kwf8`2aiPh8taJEg%O4Ig8{KQxunT(7K5z_&Z zl(JaDcjGLmwEZCCe*uO`>xzmdD)F*WyqvT&gUZr|(x-GLo?rutva*RuNhZJw9;!V> z9*7NPMUU+4?2wuJKTbY*zoCIGIOWyntBP7$>j=&#B8Zaer^VZ3Z7z8zM0i8|Uwp?t z*zXb~(V7TLuf`$1KZ&5@5y!+?Gk0-2ki~N3pXY<2A`yCydWpnHsd?{swF?0WiJ3i@ z=ScqmJ9mHQS|PBRhpO14ADuc&P$@s8)M6|vJ>Feiqts09Jta1x+wHZm*RZz7mUsz( zSu+ULrhwS8YMfh3{h827XRtGrDaOiz#O1U-Z#>r$hDuykl^Yu`2?$|}v(4LCdG_ul z{oTp^r7%R%wpp9Y+N+CjB#lhQYnAH*h5D_)Je~==9?MoAF5iviRZI8t`?lQQT2W&l zEWAJ|KGU>EUA(OezKRltH1MG?N@P}Zf4*nn#aTERddIc(0alY-(QbHycq-~y@0Mz(Q3Ot;O+6QSNWNxIPQ-+|vB18lZ) zI2&R^^eiFp2F~iftl#qT4N?JZdZeaOrJ~oY?J}+Kw&RXa3!!6TVX;|`^QNY!(_cin zz&m(7k`)z21mtJoSy{_=hluOoH1wS15zc$N)oX``hfjgcul)9sEZytrP1m*~V&uix zj^jevm^2C01~fw&onM?jD@IyxjF-rRk9V%XQ!mC~EeEEeqQ>ioA!)Wjm3 zNz0^Wxh9;z-hqzaJ>#K%GJ2cK{D(C$LS%SYG>D3dVg*~oCgGF?paG=CUr$P|IZX5w zbxO-xSuu|sNlCSvn3>fusF~)9cqire}PNI%0w_fw^^vJtN+Zt3cT)Ix&Yu-*SI; zSZr+WM|2F3#3l&@1)YsMVr~M@eQQr^b#*)L0F^M|`;(t>kvP4?6xQQO`m*d-)xty6 zLfD{CLAv4b!M5=)oCFQs@okce9N*>lpHPU(Do*!Nz?uF&qk75(I0Y!{d_lE~1t*DC zU=Wxoq&m%E+{x$0DjM|qJYOfuVpRr9Oe4r#R-ad&9Oh@byh?$%3KQ`N%I zMJ1qy zfwBuE+@F}3KxO!<3t#oL&kH*$brha>!S5H7BV;8!zb&4R)$Ngu?p!S*PTSwI&TH|0tb{mtg{=5G8xmSgf z7L)l*qrZBkeeSr^0x56?q-*_}`?&|baZz+?4d|R5sxYeNzuX&lfv{VS=Kug5tre`2 zm6_R%{0LNCovZR_wv($vMd~26or20%qr1D?AmXz$N}~FtT-L8&y?O=QNfE@Tp*hD~ zV3BSBr)TBmv4bj@l+$|l>(e(s6Arc)qO~x&eJ?~E!EQdxTD>!%VGuFZ?|u7Wl3|>a z2yz=ksc4J8{0Qh(2}XpioKbAW|1IyZWNeS(CB}0K3$>#;2$4?g=a*%^E-H*I>w0{r zp#fV-OpFym^SzMaQ^m2NM9!XXtPq5WDV+`QL-4)3cL9#L62(F-*xY;I#Ngm3;p$NI+Qjr9|L(s-5V?AD#aGUC7T$fQuUbjAl4YoCrp< zm&C9WlMD1I&HZjg@fTg*tr`y@yu6PX7-VM}cX|g482OrU$a1q&Y zH``{=uSFOV=l)W@b-9Jh=CSRXW)uBt9uhJU+>4PjH&1@?BH+$&q7-Vk#nZ#TEcQ2Q z4(rL&Oc9GKxWqqF0{OYKeaMD03k$bZNI73x!PxE*D4Cv}vIM69`PiHLnzu5RU0XTX zqYsS$kZ`N(`sF75xNJ&Cu2zyCPp&xcPd$fD-Kb@+j{*qPeDr5Zgbsg7?eUxf!9B&r znxj&BYQs{VR_||M?Gf$32i>ql^8y$VE6q!JuUzKGT|_8KEiWiYE~BanKRCr@?O~!1 zxdqojZyfvwt^ltHz+uA`+bPyIGBi(;Woc=Hm~sj89P|b1Cnv{a)r~pKR6XH#z)F&m z1bLK*p-=y<7#_|nPQ?0G2bcF*%aoGRH^RXFpeIV)c3IN&%Cq>xcF+6!u}zGOtPf9z zhegn{U#Xx1`!51^bGpLVJKP?p?H~s$WM|EH)~Yer>?Z;(b5a#!l^1fn1uo-_y|RK( zjd$JZSJqG-N@PUIT9blfFT4JVMRiGh@5m#|>YZ$Kda(IB!%h`nzdjmSNfynvtH*Yi z4z$~vbrP3%bkt2>5rqAFHWNAjb8w`NSew)QE8@!&wPhVK75n;kIO{x@b;H35{^S!n zM|<&dUaFkOg5WIR-&22a6Njc`2Tnkn(k`;b75==D% zGH-fTmNT%D4|L@twY9$oaG9y}L%XSxuuvE^fncGN!=AgC$0H6M0~#C}Dwdi$mt9^i zA{rQ{@X`}1CFjWeI}_V*L%X!gT7H>4xZ58*?@l*jXK_&vPLrj<(z17|L$^-G5Py z4%ofb0^smE#-6;mxIeslbQIq&;8X{!CtZ8cuILakoCmB-|NS3&K0c9Xc2XsawOa(h zd-((XFqHr%Z)n1$%K2P>DO3@F4B5@TDu4*Tyb^6Y`RgGzDN%x_=kD19Esc?knI=>7 zk;fcnU-iPq*j~KA1bQ<(S^;J7QXR$0Ii-6`0@oIFCmd4FaNlm>AKcU6h)saChn^UynY~u%ZSJ7*TjU%=_wz82T#c3 z!^0eqxYx)?UP~)^d6{WwO{dC{fue&AoZsxDmh6vsGB?}r_Zc4OA5}r2b-T`^<)=g( zd9`UWy|Fjfm`JU7Pp&-?p=FU1qk; z#@P1hvkNVs8{Nk-Hb6gwfr6is_F0zbtx4z-Qhh4bWYFAx{M6Xs8h#mLOakX2R=&r!}kJ?QiRE+OG| zi0Ce>*lG`Vq5Y2L{S3LHsKl)9=8s2p$3i+@)ZM|=gVw3bZJDOla zzK-M55c0uct5k%bP_ZZae4Fp11RGh4wGT>4B{^A=5=8Tgy42#yqI-ZAk^#jq9mn3a z#Mo#+mM;M=uFT68$?Ay&kYuK$Q0DF*U{XDOnq@gr6P!Y3GQ^<`3f*Rg;h+3nK$vQ^DU89rJ!onBWj5V08+A0H@Gy_!crMwTJNpDC|B z?i;}DJw``Q50q%0y(AsOnfQ>!fQFVu4`x5oAu&~s_LqKCaHQMDcG;JSdJ3NHdp7uAC zlH?`J=2gpRgocL~vJIg9TXeqdVP;<+uekh&O{X3B%0eF}NI8pbk%!Dp-=AewF(pHx z>f|2B1vn&}34i~Jk@7h!Dx|%U>&cw5xW7{Okz#WGYN0H2$n+?Z9KN*tzy@qNZqa zXjqtWODJuuyMzOZuR+sf0$B|SP(UV70#WlbMyJVOe$CbnoKr9>qdbARruEc1yPEnvm>vxWN?ve?`XZQI{OWiGgH#x#B>o%xeND(n!uVyYsqo&-7| zBhr0d^#3eQOePQs9@s6JloOcwG1MpT3Dnh-5Kb-l?t1`}s3-Yuohbh@-M#V1?{hKiDB>^}&c9 z_REVZ8Ew>{H?1->I5=BHhc9W~U$Q=SB%Aw05X%<{V6aYU<-KKnlXb zUQtR=NlmD&_dro7cWUh9tZXHc(dXsG=fjwY{3e|H9RT;ps z!XOaH^z;m3%xR)O{>5p^#>QQ1ZuTO*%viU?7#j^ENeKx`anPC|CH!RnPmGcv0fD@P z%xTdsg4eI7mw22#6lcs{e*E|otD*E45a>1zg{bN1=t3hSjWwhkmiuTM{`{eNPAezi zv_%aVhw#9_P8E)FBZ{$p?!6z%>lPMVUmk-d!Ks32_hnkwjcT3JQju3tNhjs8A5`uo z<+OUK*BBu8?p>1m(Uv8fUZd^7kpp|*^5|PU(y@876wtGh5a9WI*`T%+1U(>u!oL-xvVNor-JT)p&ZXnL5StUH63$OHhTqydQmU*{d)DL=`VK#D|g&XvWE{-W%p;bwY?#@cW*HbGM4fu(pP=wH#0%} z14u#w@tf?<8reLB&pd3-;^MwFCvZz*9R-fpD2oK3V%`8gQ9Dr@WwFo^i)?^T<4q$b zJ$N%x)WnI{U4Nzod}cVRXCln|QZ%Ei_qaA&l*@kg0fyXzFQ`CcE2*!qKV0Kh34&{m znsUD)%*dook*ecOSCN2+$V_rlU$SW6N-*P$Ur}~O-o)#=(GL$xH-?9-9(KW(Tn$A@j~!+iVWlAf45!p^2S+od_--{IFpo* zBOSSuP-71^j){Y#{PLye=8mn<x zc&@gR?4+W@LrD7d?ZW+`3;VLZi&P;t1I@vz*lZ4#~Zbc%Zj*73xCveXR#o=A)GsTpGz~JZR$64d{qMbt%Xiytv1!YZn49tv46+9 zAmeJKbH+z#o*1U6tll`F`uQ>n`)E};%JDd?6?@rUzkZ#_apomb=kdHd_*89gx`6ER z%4edU{k1cnzD){;I*hrj=8V-~&S|ncR_aveY3nCOd&fEl%wKlkSEEO2f6sPsO!*7l);St47~*N$Tbq^952dviH)s9(+s zse^+XuZTNrbiIO)7AORjy{7x1oTPme2)oDQ7InD4cd%u`A*z#R76e~qiGehdy1_{@ zW}yy}trBcgySLVu)3GicoE_j)Mh)%U`|u+ezZcF;B~8JY8kTjQ!xM53NMgPBaGo85 z0F-~#*dp8+VRU38v#F$yC^2nC#?BDlrskG^91AoP#67qDDIdo4Ds{%;3cd8G{+!I- zG?U$!A!p+;2%Ev`gPp~0A@dttrQg%TWb@#aw`U3&iyQg+hBQdXnuST>dCq1UGR%yO zsp+wGC>vW82_P590}LuX3yXrhX!_- z8duT?IRU}h4w?bc($h-@`SB+FQVA~!l@%0{b8;9)Xdxg$V+P(-Ic{@2Sx!~*ll-b+ zCAJYE?the=oh|ejL*=*AdtmuwPp3*pNRMzt1IfZD1$izFqsxnxo!z7}jt_{A@&3t* z&Y8TfY{E32!D8Z>tC(*Q9vg2CmF5yn)pPz;6aCldWYcPiF+!h*wo9=%4^r4m|AvQ$ z(*bszf`Xzk6hj>4-j3DvKDe##3TVJlot&INiP@Dx8^XH17O8&lyOYi0nDbzNKVy4D zgGVB|ZAftC=K#GmXXtiUjlGWB+SX&UfH2bDuXmq(C%t#MU^JLKKq0vShHPmPfyC!C zjWkTprLoA=6KH$W&f`DH*RCk4oo5V%D-^(9gVUeWq8(g%1F3pb>OXB&vn10#Kp#tndR#? zHNRuW6xptd_3GerK_0>j&KpfE7}-sCvIzowm^|pj6A<)+-jrL!B4I6OvY+1*K$OS= zz#T#lKLnj91jOS+QaM{GGW-pEs9F@1n{sBFIqn%-BPkQk9R*bZk@WT{LQ-1MiJPKcnCEu(+BTxzHJ3zsjtBR*o|7Tez9?I zwDq*h4G`pV5EvQ^8eTFow7nag0zw@qQAf(JP+YL}XwZ_2etarmq(@xdzWoSzf%wJ% z>@Z4FUe!c&j1JIR6bTF4k&tYK0g9ldIkG*gQkv6d{!Oa{wCxQD*#v}yE8*Q`$RpRD z%vchz@QGZxawWDynS`6@Q;mJ>0O`?i0p9?s@thD1WzQ!D3{u`H4{(Sqz>&Uv`}T%1#^rf){}+`j0Hy$n zo!tP%&TjFhr;;kwTC_B26Wq7l0g;=P77%(UHnw1R^@J!c9&sDyWwEws>d+7}e2h?4dzihdi2|0;NU3N)FkAUVJPLFm*f_G=84KW%;AQpx zv=1F!mK>l>0RP4YRSfI}lbXmQxQcrcQ2@|MFY_39nqcuv|;+y%GN!1 zws~JB;$c!=$1eMpl>kznzP`~E+UE+kd#jZ@qmrG*ZG+wLaZ5wP;uQgh1W4@N+dM1- zyQTPU@Y|FBl`=qHYvJS?(7(tP3DFg<`+xG^Ug37=C;)AM|4DAQ?KKeU7=hu4LRH3= zLW8Am%r#x+a%INOzim$z1w2y36`rZju4nVu#{K_6zj#l7rx0U+a>ReZ+sL@Oe&;(<*Bl8&KL5^Vw8_{%nEB zIIDawewt|m7X3Y*C(3mc9GW%}JRP*~)dUsGAU4CX=o#+8{gJi)v0O;(k%i?^R$>s=X=C$15n)gW9%W{hKTyjh=Pl1ouQ&_UympLqL z8OUdswU+gq5A-uck)@e&v!aD`9$=2xjF&0f#iA1DIvHW*BaK-;br>9j#gRUo_fs4V zXci&?%$U)H)pblvcGTGC(IyoX$QgFVQ5FBk3_z3L1Wa7?!#I}y_^MyOamd9cEhY7N zd4+kX5kU#Yiy5h_+z*g!k)9=S_R_5a_4vcWwV%#D&U6n&@2_1!WnSO_b3CKhvMB$IrT`0*5+u{#hHlKo&*G$%?{Pg=VoUYHFvnAs`QfH;lJD2SCF*TK$vfBZhnwt%>6Lg zcGG2jdA7gfc?~4i^ubX`<$uMv*QODGb1GmP@Vb1k-`ATx-q;@i#jW7x76NFtWMo_B zPS+_pzNsm(-LYdXNa$4J#O!}6%)+#kl)~U&R6xPqDR8D)7Eq&9uvws9?Ou}hCOU`z z^fZ_|fbRA!9qvU_!#^SIw|uLLAX=3&hy=#MMlWm9QRClqwV>1kaIRu6aSX-Z+bV!Y z9vHIg0)$t8Ums{zZv!2K)p{VOpZ_+cQ(ZAKF;NENL(9uVN`P#)KbvmQ3k$|GR^{8- z*>T<*b1>J?p71zx!zSVtLvH7|w;_s*JiF^kVys4=-I&*|j|CZYTaMI%eaElHKKHe+ zN*EklzzzMXX7AB3*Dh&GOUper{+5O?JDm$G*5wa~AsRr#Wo9}Br$C{SrMhd@x;>+= zJA8l&3ytIN|M6?B9#K*q2vIO=DXvM+-Wd z-Sd`A4SDO`@0WfgQJ*k;;D9Kx*%ZRo0~ojfS>A%I0g9>N5}Sw`uA^x0KA)9~lIA5x zL@-_^==>ld1{k3#sP-^dr54A!|6N{v_*#0|A2I=V&9mbL0T8;7l#E|5K@_WgFw!kP zeFgg~S#J1NOcc*mrYJDSX6s>yNm& zyrAGGFd~u$CKngteJ|-P&?Qg#{@oFDflNWe8T4`o`CXP$BZ?h2HTm{N%Sg$}($Yjg zWl}nB>qSmz(#M#5k3}!by<|-#iik(}irbOI*53wkm`xTW_DbNhpEGXo?~WpdTn|W` zyMA*Dm35Um7*fBeY-Q4}%FyC*Xf`QnF)1)PJ3R?b0YiZ8XH%|JR8+=?h^6J;beRQm z@5^oFy|^IO@=tc?A+ts;q3c6->tH?yfI~7hhWp?@pF{0iPp*P@qh}z}Uk_Q^5qD(d^$K2?>dw5Wwz( ze#6fC#Kd(OQIx}?#ai!gyd9B%j>c#r3+t`oW{G2wq&W8}W8v}Po};{?kM&B4!XqBt z-Lbm@^}@qrf+OQvWD~Hw7w{Gl6?5K42PXc_vVRz4A8Nh7n*J zTH4x*uiH_}#3?G;hQ6EDLp1rEYIKJrfnFGF^JNFKzfIIqV$7@S~1wal2WL`>~FIvb=n7QgZU#%*;$-))c28 z&x5tDL?PsSHgY!3q>lzUaQusDz4ol;sdP-n_wTohB(IU&c}9~TD_dXFFBwPhU30|``$w+D5CVW>*gcC5C`XfB{$|-& zcBO_6&&bX8_TeIzz``6gfC!AiMHdqj6M1lJWG&hzJ~%k|9x-t?n51-A=CWc0yITf# zMxq2fYT{hC#IN$8dBVz%*C80>uCkzcfE><$rUkgrUHAyBFqnx&0mx3h$lf36IeX;C zaUiI&y0)C|9jW1PIxAIWxVD30&5wtVZ-m za=RTCYrAd=BPG`B3fPrGRdr`geM7^g-(KIMIQ5g#s2Ue*d%~9o3XwM8HaD4%g z(~8EmTIF$6qA@(4DrTC!$mN5Kh8;0-_R6J&g@vK|&7iI8d*k+l1kmv@Ml5zaujG~? z+eJ;7o}v`RpWlMWhbW3ad2``n&Et%8V%H{jNhS9V6z3Jc{ydjS-4 zYK+Q&cr;qwFNosS%NjU!%C)G~`vlUxT>~kTpHd!IO2UbS7Fi!Gum2Udy6GJDrlRN) zk|JZVI?AkTaCpjHgQRS0D>a4&81&V14)b+u!MAfkpKP&Plw1jEWJyVg?f5gzqh0uu z{FSR>%DO)>$Q)mS(HYz!$6K5cRmpx64P>+g1T-rt19TE1PpA%+oWFq@FeKD#pdW2;y;Z!DU} zCGyp(qk0kOT3^vO)Nci=!8#liJvNgbHw7s7h2F|~IH6Pa+P{0`8w{HIt{lvp-QFy# zJ&`)vTZc`YojM@3_simJTi`4iSUhMs4I+1E)eg+I)}t1%x(v$SkdcMo?a-(N(HwPj zQgOILUpw&iYd-zj;^L#5ddkcX$-Z;4CY(&v*$7n_WLEfy?v&VQimn_%Wp#Kk$ep)l z#r4&4S_(_eTo})iH0yuYvs!Gyoz3Q6jM+EAmx=Gui2FhKlh5{Bx9MmY6%|$Ar`O)) z1*3Z0xuEF_QcZ?C=*AZ1-b9;Z18ras!QY)s6V`TZOw}V5eOpdhISs%I4NIs^{{rh~ zfNvBLhcH&WYR2<2{~$=946y?-zA-18-&?G7Uiu{Ke?a5Iai|)#wA?e#0)Yy8e#?_o zijH^z2&of~x^k~t4lpZnr+mn(R(pM?7PQPaLmc~#wxje52*723vMU!UX{j0S=1&C9Uk6Dm8h#IFg zuKF59`XvTS)z#~nhB7*CC#4!}+*3GXdpZI=`4F${CIXG0oo)|%N}lG+c;b)?EdTa< z3)(QY6585v;0_Nqm;n3()Qgs{0p8H|II#mggtM$Onj2^`;DQ{ouUJO%C@3=1?P%9{ z<3}B^MnAHH&3ZrI=(N+slNgVe>G)VjSLp+Xot?+L;!3;*xJb?Z2RbTtf#oeFH60y~aPb^NL&WCOUoqd`)MMrArSA~jeSMfjBUg5o-NE&0m zIV}t>-zGQ5e;^%{}Wp|*=4bOXw@rT9G^Glxt~O-&RYkFY~$ zwIqE{FYA`+6G-{+CYd^HSyP8+uObUi2%sdJ)NRdPScjwc2}2$i;~-UM{=y~`NiK*C z6+>Jt9W8RDY#PGC!ceEa_NXvcN#fJ0S6(#)hrQ!vY<4{i;__pu-+EHNNh@^;$@hCL zOS@t?z7XW$gjX!YDb%{3AT9C2e+14BI;q5sjg9B;Uj=iNF1tA*!T~)?TfNXH^Egrg zu{q@YTS8;}v{3wH_G~piO|q7XQb_EF5t()@UvBP{U)!Z!+Gj7DJji*OLs`-wT5fLD zyKCdwt2t)CsaHPl33P#rh-`qQ;oELwfv)6Lvf3`nj_g!;9U*4V%Cr}l`i8ZPH6%LY zdIl49z^wnq8<2KeKy8JX{>DrvAP|3UlOI5nw|e6@77*ex&~+0Bnx`*-3br73j|)UW zJZrA#)Qog{xH#Nvd00PMV;?t(%xr6{c1_NC9XQT*Q}eIQ0&G^zG+{d>M~hvej1;kK zqJX*%mBA&Kihr&(5xvKEav()n`+#Opc4Mbfm8K3KV%dy#nyR2 z-vK~$hV=OPUz^2bJKJk*UvKdKiKJ+$rHKF_s3Sr{8+4m;k+<18c-H$ATH|~AG8F)h zFx+z#`i!yYs9$mH8XKs;OiXM$J!&kBO+JTsuwe$aGYD=Y*n#$Du4=*Wa}OD5WvzzJ;?^aIm~HL&5_+8^f*0B+W}Wf(_) zINZFGNa6;sd8epT*%K@elJea9IXVs=6@Pz!zi;1qM~~*0_iB%-8v{s9T{l(sCwz3e zeinNubT7?dVi%uz&}kc$XY{b7BUY==@-p(p2$gRZ-5sv8Kwd2Y@R$E+mF2=2!5iIR zuETcr?_J~@KKCN-tpt>d&-0GXfvUD5%Vt$OcOlFT&VA^=HO*KIcUzk!%*@J?*Orb0 z6l`d8YWO%^095k>B7eaM702aY75k4XWiwq^I`GX zaTb&)w$e%)%g|NQxah22D(pAI7yEp0dD5TEd65En|ALjZ4~%r9<+sjxc;sqU$O9Js zeBAyoXmSv-rtBzCEP>Hr7LsMtg;^HOx`Y|WYPwKU!$-+AqM$oEK5_)MW*r7B3U~bM zWwMBWPmWqq=xMYq6(uFjvu9nN)LfR*id6x%`BG=QKKdb9WF^&Z&P0MqvFq6$ht|xqCyx9)*#cA=NR&hE9f_jnuDp3Z{X0= z(e?aD{2W^~!cyABJr^Z}Syc&%bt&s2s!L=nBpZaS&D4|AQ)lZ_jdhUn*a>xEN3ofP z-{*shfeQ=iH*oED<7r{HZrzlh51ueqc$McKe}oIC=T0fIV^h&$p;)~?#^VkRZ##|? zyc#2bhK`)?Cv^t5rgzc>PQ=OG5J6zd98I@uZ^A=HkiKH8>#5E zB=1gN&I0HqBQJr*pR5`JLL>#;^+eN+XgxbsuW~G~s6DYi-yRq$66Z^KB{ag%H$bYv zKC*7Q0D7jRL|v!rlNE_E3jid=oU9yyI~a(yJclq~cB45Y1oz3hXPZL+Tul+Z&!0rA zkY?+9rbdW&=g)mrFb(a-T($9uh=>T$8-Lmd;#5Qyn7uqbA;1Lph+bc7ZNFl<2Le8F zRt{XQWkud>mjG8lz>vh?LE1hkB`e&+>`m279}NzZzfIG9^(V!Z!UKSJ;(9naEN2Ev z3x0-uS+1dqme!8mxG@(*3B*kb#DyMaj|z!fx6Uux>*=6v-~oB`b|;ILfLr9CMk?RA zM*2$&Op$;_O95!KK-Y@E=w2$gK=tW5@~+L?=`p~#_@_GTsEpofUHWH933 zyzvoZXV2dQ=Fc&{xQ~8?`8D2Wb|iQZ6*vq^dlUK2p4KxFY^7%=ur@m>DT*CJ3z(W< zs!DJT6#^~=oSdzWIcSE>oi%O3-hNJa#ALq|pOhO_lFVEc?;iB|LjN)}9$Zns? z%Q**f)RJxQQG9v!RU|pFruDNSzS19eT!Mlx0}m`D-}QkB3#a!(VKO>AGc4~r2SHf? zu!!WoJ=-#TiiF?xr^Og_YG$TBn_eds^emN#rO_R3$YFx2*hk=dYn9vxd{IKaK#i|6OW!sF%HI zIM*;*<<%(O$jQpyAtNK(KRTiZVx+j8)^Fm}w{!Oi$;r{{ z20Z?9M*38uO)HPE>&AFnzzvzICp#fKh7ymvuJvHS4 zPnoIOCD|EatxwcP=dRhL+1-g1YnPzrpF%qU$JyfnD16&CR1%bgpQ z)^nJE<18=dH+teHI5z?7;Pk4;WNrz|YL30dn8>(Y+_1&iGG@nK9Vdi=n|!L#KF_GZ zX}xh%T53gaq?k#XA8y>^_=v7ZgV;93(9nAF%~d_#_{QW9(bjLCzV4?G=K0VI2KO>l zAY^)t-+|xIq?VVzSI!Z8#I*L}!-wXSl-aA3b90}3L`kcvG#$5^4O+YvWmQ#sb_5>2 zu&pSN^YYtS2_f51rFbn2289|sIs(9`qzn-L&A0c|bMJe4OA%ca7J25kQ=-sC3ON|J z{J1$zl1#F61*5`JhX-GN6mKYA<@9&s*~shJ4zbl3(tL~6?@}w!;vJ`}EUg+;-iXn* zkvJ!&IRP_<-2M0a8U%N>zS6z&v%l&I`hkU@DtM=-C-=}P+fvRwIJoE5P1$7Sc;;RA zl0#mT9VbCSoSC_~--sox%`NNP$O4+?m$Bo-LS)fFG@V&IQ!7Wbqu5g9lqG?1>+^gA+oA$@KPpu8F zJzRo`K@4A6xM>ho4HIS)m2!}~NJXGSW8UGqu(9}`^(YK(uE~?YQ`*1Zp`sGz`6!)U z4}(R3yLN;Q4i2d^U-2-pBp*L|>1LxmHfB-#o$&s~DJ5kJ$H$MPbd<@oPtNp^x%pBqcqIzU;2Nm)STrJ@=+;^iw+I7`1Rq-oyL5i zHzqCUAL@A5r1R)V=Px4U2D4s#u9Zd=P32nn;qikx@$)DtQDFF5JYFeH^vq_J+qIlMtbU+BH!3WqU43SDyUv_LwqTcHks9kY1Oj}F5k@_t{_AHl)p)b>6dUp2Dop_2WmR-^tIS*g@6R}Cy#w5IA zel}YFEuWLkr(kW10RNmfncz=9(29u#MKL}(IRvSF8bTs}@3(nE z>*f8|{H%LmI0_(Bi>J35p4Fg#S-(jwNLp8r+_czRiObK=U&ZqD2Vi9*L=`DsbNxut zVgq+XTEK)Jz)XqCx#~b8RQEs@0v6|e(<|bPfPOk#xVvMbRw{_9L7!B6%sDP1;#&}i zw-WSEo_sFQYkC3hL@&dbecWY0%({vh(G=e6ICI6nZ>_e~On=c-<%6V=|5Qz7Tll-& zP2Vs0tD^39IcXr8zWvP^FiFS9T#X3s zk$X*>(Z4``oPbAL^_QAT|3_%3_S{j?!BH6nCuewHp9{QL1F!4`_$7vZ!#ypEH|<|; z;Tw%taY3qgqk81N+)2{Ztac6qV@^cnqbGH*5B5q}aP&a~Gtk-%PR4Lx{bIScA875} zLO|@`(9jfc3e#k5z5dSZ_wT&#D1EsH&r1CH^MU*6fnfm1_O|!rB)kb?{h(~J892f` zz+^ss;(i9~+#Bb|RrHb89#x8a;1@!KjErc2k0G%6w;}46wfMR`)5sWCj5>g@lBB zj*lk?w+6r^bj>BsqX;atmioS^AdOoxKonr2?!HLM_wS-Y&JoDR@)PqF9~LZh4^Ycam9cR+v$!(WLCw zsSHQ#TzVPRa}%A)Lf%4KOiawLBjim?J4}!J?vnWNybdJe!!+#8b&c(aH4 zLL(qwoNd5=FpJN?$oNpey$Y!~E^c+ggN`mNMDCQZQoOzjxH3TQx#Crsv_4hs4RF8; zFmIC`d?oiXptyc;A^6HqFe&<59B9qen3V`<%!NayKH@LGSU>3SeJ@g({SLa8C#_6& z*DCE-ADgJ$YmefnZyNDgB9~70I6EC291OL=Ly0W-$B$nzTsB{Qed|U?ks=G_<&E)o zEM7jyj7d%=NKDjbHJ!I|%Us3Y^AG^K!zUS)!n7Bpp`@VrD8qkntwddGK9U-UNX@8Z z*oDELF%yF@XH6%R1*iUSII;t8xRAc^wKA@Qj9;(Kjs#|9pI5XfFr=$|jxH`UM@h^A zUrt|wpXZ_HF23{o&)>ggQC%xL`v(Wl!Q>#+b}7l0L{3C1df4XB)>|%cX-cjsqbd9L zr_YrDW{Fr?F}!^%-mr_AqtuGY%uEPuObnNY;@$){Tk(5wcKpG?kBo#rF21zLa>Fx%V zZjo;3?rx+zr5mI>q~px}eDC=sir3zEtTkiIF~%xg^T7&|XxFfrBTeLvh!j} zVx*y&??|HX6t3QTaJ)Mu71^h@cYLfnF{ER?JFBMf`XSj46rUpq)|CUO5a8SXml}{B zplp0jO^)AK+4m@lBzZ&@KnXYwsB{iNs?_~Y?17Alekp<1OCra)cAB{{$v1YjD^3mf z+nlUKtx`*3N-}R0u<=Pc^Y(DZ8*qU=+uq&n4-D(4l%bf(j)?HbtlRU{3!T_6 zI5-%B#kZK3R?nCV>u!72sJum&l6n#?LFK`0pxqwSIy@YTMe**xJU|zqkdk)o!jVi9 zy#bKzQ`Ct$@|Q2eAK2Ur*?4c8Wfu}3-#h=t-Qhe-?^Jia;!loZKMlSo=13^Sl1el} zjzXJF1<3^7ENdLi=f8i?Nayrh?9GR>^46G#$>c=fYHGd>AQXpmqYwPpOTd^duO17^ z(JL0HQ$mT0lz*~mfJ{lt7Je}_jC@?iHb_~T#yvlS(bw6jIk)2?lu6+$En>d$m-hVM zwjx)o>E%UbO${Mi9%gb3yl>nHP|1P+OCM-VvNUeqJaLs#=HmX8q#*Dua?FbrcgJv~ zSTN7EcJjCwTQI5~!sfd`f>v-vT0W=r$W(xplF4j-GA?WX`u66v9brbCLV8Nr!3Qsf zq>;^kL_C%O?``g3Z9F*M_HC`J`e=cG+TtoeSh0nLWSpETn91NY@l&~h|6$qrv`K}NL)F3G(B4$0 zU(DGU0+&DF!Vr5YE#(23kS7!okVugq`6J)N=mLKqQA&(Ip7=>TGw!n8m&hk|dTdVK zoZ|B!xUqBap&6;!ojG)^fnRU9xH^U!>`?HWRNnCZ{#|5m&sAcsX|^6pgKB%U zCKJJ++yp8;=`8W$`_=!K1m4~qYf`rL8Y`vy{LrL|bRN;Rb-eF?M$Y>^bML+Fw$HPd zl;Pjpkq%A^+m#;|d%z8bFHLx2F3!T$-3M%VX>+qX^+Tw+mDNY?AR0ZeKx%2_lYo#9 z!2)WA+1mcWK?oO$(f294TIMu*{cs;rIvT60vff3y^lfM$gzh@rj9Er!-I^O@0?}L+ z$*K(=m?J--)4%R@we{-vVC!ECM9G$E4+ z*w&g;#dCk>lX24D9*rU6e;Wnm!qvq|`{ZPG=|fmf(;o)&{XU3`|4j+z7tB-W_7tI6 zfrYR&Qxgf8Lugzage(-8XmU1~I>QuO5bDNE`J7R{2B^J7pieXyOunD@sVrHyH%7Ff zmaczJ!$stG{_~VYmEec}H5QC)J3?9dWuM?$yV50M|01?QIr}HHct@MuMmGLT8ok^S zIcJTUn-|w2r^oR^ULue2Nqo!7UP7>~J==)AtlzLR9LqOZ^Y#4S)k2*=zZ|KN4jUQ@ zzmXO&Xd5rl!>F;_rQ+a-fWj^mu5+f^W_=*(ZctFrpKN)5fI4R{4+EK~si}vChy5AX z06?;Ykejbw*R?*JQDwhReoInPvebCuK$mRy9Sd-RY%41(X)aCWTn+zKX+^X|d|`LF z&=!1)y?1C8N@ADXg4ouNm};zFLAlBB_bkPn<$~?b3FPCt%mjbkS7=z5?Xrh#F(p2w3su<+4aNS?uhwzg;Y#vn;| zIx)3(y4Y*;<6NJu5$9j7bS5I#uZb=e?h~1W;YQ*j1yw#RgO6(_*41`HO7vS=wvo&7iyx;od zzZ75u(DxS|9oz|@BK-|u^Z{Lo#CPD$UQHO@pud}1$GZ@1l*bqu8Du-|n#bAjESD0a4S~E?v0j_5h z6*KjAyXwGLYy9nwtXyNu2qkS(XQwZ`n&BKprfS=5QIH#$TUyG}R2e*YBt{phEjlPU z-4EsaIut(Ol@o_pTkl}!3#zITsjI_+&$343kjAv6qA3?%`?IX9rn;EUMA!vlDFm$+8+# z>fWoj#eI$87*0luqVZNi7mp>R#up`+oR#-+FFsmALc*#21+(@BDq^s*q=P5uBl_#$ z>X^|qG(21wia0jCzEqi%chGUkx4`4Y=Xd6!3kSE4mHFLW4O)Mjli{Sd$lTUzUlSAO zdZ*yZyMcZ45CdZsB3;wa&`%K(2M;iSV*S#AxiOlT^Lf$lOYLtrQPF&vAd2jSxHuxP zor{722ZZ=cEnu49Gk?By7YTKK!J9NGr7NK@#?KV{SN)3~?UxE)T zm<|d)QzB9{|IMY<@$Ou3RaMoHg%IxE@swGKRx66@<-SM)C>_$4Xn^k(kgrxVRA!_| zC6yrl?i~_L>@=aM7mwu#1aNsDwhgORix1uS(fGZH2_HH}=pDes^f4i!zbK{Km`A1` z|JBh)XJ_Y*zCI*V+}$rLGj#^+F-;OQepRT7EvhvK)#n;@mf`Pho`)>R2ziQxgvK}j z`t5FS+fw3u^Y5gxx;mm+88U|<sqDKvY!2oU4qVz|c6%=05bTX%Q(-rnI;tB##z%DWa8 zoB{#@-@kvysd5E=0gFyo7z)I|k&wVZG?3lg;`FxzsbAfz!xvm!N`7|2u>84?tH++^ z8h1;Hojka!wrdm_8s0k_(`5mt zH4c0~_xIaL0mGKNZMD*)2_6RUa%soIrGb*TKGz_S=yHtTaCz_u*oY!2gL_aT?!hz~ ziVBG|iik;QP@-5UM%UVLk~0y-8c;EGd!mv$&Y+ichh#>+ikDnHQDHWxRsp0lO(P>Q z_}KluJ?UrR>)a`?+)qBvc6r&q)+wm0d4z((<+w(Jc<{Rcx;F_|yhqYJ&dy$i`U~U$ zID40s*}U?~2VAt@LOS$y9LMe8cc#{cTkqKP&VI@HWWV>b4gaB#0}qVW!_yPKDaShQ zah2mgI#{m8lcm03J4{C`f>Q)0$W#(BEf6%*J}bThe$dS+%%9sKZ!6c@v%q3ng7S%q znfV7;tI-e_v_O}-{vYf!yEdU1(f`+s53=7Rl$V4oNts(f#_9ls;}qf(?#2DS-rhin zPQrbRLN<>H2t-|7uX}eH85xU8OTU2MbO0eIx`>F#{o!aT2uWyuGmtq<)xUM~rse-F zIqQ3F;DZ|c+)jPSV zgnBysm13G;%iH6Kh4)9MEX>@yLDuypJr;AM5sG2hSZ$M&1dkp)0za_V($YV0taiwt z8$$p-?6r{pqt7S9=N?a%{wa-hS=X{{`wjEVjoVnuysy(tK^QfIDuT?`a# zRzSx{O9_i9C}7fXyDG!k7ViK~hB)wUp8f}fWaIGg@E|TcibeYrNbOH~?U@1d(wrX(>E2+)l*mvKXp;q~tUOm&@TZ)|L0zqn6*x;-|x zHkwBWMGle<7UfcfGq)!4$USuD1jTb+hr{EeEhEkwW8L&*?Ud2W)2?=B(lU~Ufpy-I zPXB>hI-g{qAr-k!%M$`G9tU7KDiwad-Padx)~O7+EJG@h3TPGUGN}R^JE>zI z6Ku#QU{Ujr zS*>|$Di#F(j{i2&tm6zNGKTlz#U6kGr%a8lN!pT}13Ef7gHquw2(I9#(g~QWa-HK# zlgUyU?nypRPqg3AX}GizPoJw^_s!jr!@262?e7QtY4JrUl|(W`wpt*rA}ZOilCUtG zKZa#E8=@a_Mr3dLTy2+YXEr^pp7@Mof$zVj1~;J*At0#^+J6XhmFv8!Z8jt3I$Q5j zQYLDjdy((<6#RcKK$BaLOrgea+mYedPZ zsJy@rBm}%w+PX}D1`GD<|WDii|C2f@^WQUFoY0;T&e z!fBp+l+V-4aRG2F1jyb?>vyxA1Q86pg+eHc7GD6Lb2Zki9#J17?oaL(?Pz!)V!XTQ z&Y8rVTA=3miJPTH%Vz@r?VmpV>zX6d|J71vqr6a`Dti4*uC2YCVV_p}G*neIWg@02 zmTjfYIayQQa&oc06?ZD}>N$>}+&w6I?*Q!|0lDdP;eeliSdjJ)z;KuWGyvoFZZMV4 zK->?YA-b@;puM0WZvDJ*>cTboYJPCsS}zY5C{^v8bI#3Ba``nh2vAGLeFjf?(e`R; z=&~0V6R2Lih%PLA4p6M!jDWK}+XSToj#$Rd+?4)em&(!ap;({A;{l`Z|)(HTmO zC=|iXR+d{dI&i}p34_*h9gkn?ZwUx5-IgU;=Sai6yFK_ z=Gmw^cH?nO0It6apz6*yejA^f5;%P(Xkig!Z=7dbSXNBNm+`k-Yxj$hj(dDK8vHX1 z!`QS0VeT1{9Pcak{{83Ut%RaMG+(%bM!+u3Em>9qhTFih{+g3x z@TAO-?Yv!?VWtf4NccQEE8lH0cPuo@8GU<4EO)ZTb3M4O54rhH*uzhPJ3Bkzt{o24 z>;)Je!H^?7=()$>b1JF>s6VhtNP_+={5&w5QsZA)dA*TBt-T1+q8i1mgC12(D4W7} zqAV6(l3eCfc6&@$rt|&7u0;A}d#SJ7WO!qrY`RJrjwN4|ZTyn-2~Up443`_pyd$p( z)~>bZ8#(fZOI}dD4&|%yAdn!KVTT8O+|E_02x@G6ou(Zo8b_6|+K|xVE2f9?$TnLm z!c(<@vEa3c`nRAg!g{T%-{u^3CF7})cL5}ghlRwZKkzI!FV6vjX&Bsv%)NW}_Tc1) z!8EZah?L;bIUF}Q(D?5+sjfy%MCXpr%+_pG?AjhpX-vtHTcrSGc4zi~6x_C3KG~HP zKQrYP*&niJsWr&ON==J}PX6;9e$IRPP4GeJb73BA1UndJ7!&0tu|qNerm#1}MYFGvrx6Cqq4e9AOD56Wlse{~KRA06_CaS6BANaWG$BqXuXk=sN;J zJ$?Ggc5UWdJIutBcAq7rEMq9y$W zl#>r-Eka;a5CYUnsE9sMI!T?LpR>AN+9UQnEM=(D4BzG{EUm4*hjtdCxmJo>Tx+K+ z-qtPYtbz4MO-%kH z8c<2)jNF-@?708+<9>$E1n%3TzNg3UcGDm}BAP&h#plq}GVmNJ-0h81`_L=O*>x}; z*25mU`;Wn+l9P5aI$KH>|P&#k|J{Wpca(-E(AQbo6j- zzYvhMPB-55*(xbqTMm$%2kKp%0KxtM*7jjR9~t8SNt8vqTrp8Lc>Q|^3HR(iH>A(# z`Sv;HPvr*#$-<8k>=z$Kn^4o`!I>AMc`EH$A2a@=j)b=X`n7j-km}UFBTga^O~U6$ zL;QiJC&hwrE6?Orro=DdcrP9PzJ|ztEi)5;ktL3I;?y3Q?{!6yF)O+|I_4qY=mALx zD$n=pT+3ZEGx0E!k3wkY)@erG>CjIS^V<#4w0HLQFLg|G$q3mm`a&gCF&7p@CX@w? zFic=QHF-X=u(ee{glahgAZusZWk!P&4$fAKgh1^9%fl!A=CoHR1`}hVS2pkiHIw1# zLU?evE3M#zyYC14TEqd(hGL)9c1tNOMa~DFPa(9CtZZnB=Zqv<5cR>W)Pdh%Shem; zsrI&j)wF&)ofHHoz;Z0sf9|W-VB#)7hDrVqN(I~czY&8+=8>0^{a}NSqHM4>qa5~{f|6^7ooVzu+M>(i3x((2Yetpv^w=*D6yfT zO$R?^08SP;sxI{Q|N5-w&c?TlZ1GwSeeCQ|j-Ki0>G=Xg z5vXI$VFI)a%LL-L*s5>H-A@FfBuYa zTMo!kt%?v7)g@5OPcwhDL`NHK0Ka0riGFr0dG<}WFJDyTiQv<3TO>wzAg)KVXd_^Z z-{4@g&V>tOBVT}_SnPIG5x#%cadbJwy`^{cSGEL)bhH_a3i%1)&wiFdZbp`;R)M4r}9 z!J`r!o);bxsqr_&M#4KS9!9PmjNZ$xQK((_lcS*iY05O%*1CSc?Ug4 z6dC-NR<>!;CG?OmqSzLR5hOvnuc`*PcmxCpS%VTB05l|nGXgOn!D;6e;w%sAFk~>H z*J<^;cjwL@)Tevxy#*Fa$uQ^g4Z|5W?l(cy*&ecwTrX{UP-lDu3!uloeKQ+ONG`mHn7@iLF1V7n9tHDqJst*ohHWGM-y52_n=5vQwG4mV8Bmy_5> zrc;=D$b`AM+gUT2#C3`G?#d0MRR8)E3hwJEZRrGx>U8fV4pm0%(PNW3_#nMB`mC+< zEimO#o)fyBafias;$432opMeK7DdgofiK6)mm)29G#oke0$tDu85oSDGd>_Aow;@d zUldr{MNSZnUiXufXmKQWC?E2^?2%LY7t`*0$&T)NfrL?!>F(~%sDL-h^~XrKKjXU+ zp3TFVx>?H^9a}ffkPN4a^fwYbTbt~y+T*bdtlDg?Ny@Qfs{q+bV>JH{wFE*%kEF=%*|Ah zou&x>n2tx(OCcBOi;)Y*K37%S=i;DaQ=OfDhyII)C0IRzPHrU-zlNezo|@6e=5!><7mVx29W=U^&R^+U%kV~t7nb@IGJ6b{ZuHO{CVTG* zj9^86Iv$@;`fRW%w1n=ymx%xFvJCn9GmLQ_$cVBIOTPKP*~LB#kC(Q#a;=G4B@%e? zF)%P-`%4r@JHW^g2%SJLmEOAgAJ1=1Uszfi`OaOQ`89p+l1WpBx;{Ww+R`nLC=6G& zpjl8~YW}B@L{CF=C0XpqmnmnAt}1Ilu)i}=;tea1p7^cLMHkEz0E2hF*scgqm(o>U zFKu8koY!&{>uQ*ND=uX^Dg2n+RrB2uI=X93yuldNf&Rda#fuvS8>-d0Iu94T#vr~( zpHrth+y1Vm$x>vFJ8S``duA{GKFM4AYyNM`LaUF2dZj-+_rYm2@f@$`rW$F{Mkn9( zeTwht#s4gS_fA>LGMQWUJ4)_MG!jpkZ8&;jCyEslwctv(gq(WE4{>v0< zW;cJhHkri|h}&ui`+wRUZgVyN?(L2${Kq+3&xwB`yDgvARIGa!h-u58x*T5Utu>}| zys+6~F3I(-lc5&HGq<_8hg4hZLovbGwAt~2r+?pPq$lXoJ@De@HJ{rvNns|<^X{!v zb1tcV-$lQj(YbF%tBby$u%-S??w%f(Nnh{!hp?C5Dk12DYR4znDDsutOF{;s%&A{^ z3c4@2B2r64SFj?^_$B8jQ&j}4o*gzdw3wbpj`z|lS6^z6ULEt-5&1Wa;>Bq+XI5OD zv8*cy)Lm}jl!}y>Ec(R!i`6?AEB|0!#@ISV4GYQV;%Bri3LJUY(%gI(7?Wu!Q66AT z!uq-K)=E!wigj2Gu(H;s9eVjtY|l3}JY{7q9|Ezv@hiYTV)=yu7?w*I5s&F*Hqe(d}TO#92oIoWfbsMJJ<={-V$5=={{{9BC2D2O*|dpQ+&t<~xppXcisR zBLC=2Vo4~`BFTf4r$1bbdg9--;@MBFKF4tELEO^jO>%+yg6YwM%5 zIY$_K*e-ZKQ`KFw zy44?YndM24BlCRXKfXO@8n8GY@^)*s_WQb&fXCf4)l(ysW|6Cw39Uz|_?NE?*aZv> zhndz?{;*o)-{8DM8sapqOrkXbJ!BQ?N-J%_j}0;!``yd#)^VlY(_0J&Q^9)OeGW%8EJ+oS zOk@ITRQbdA$cyta?Ve%HQ0(AH?saMR?{0GC4QtPy;wqS4#fbRz7#l9l;uesZbXvK2 z=;-y8=-H81f7`Bfv5ZQ%yu4$G5fgmgZvhe0q57lVIV$1rfh>O1=(@-wAE~JFwqT7! zyZS59@WkN0p};ZMsZPb<(T1~!rWvMppYqo-G4T>L?oK`z6i{k;x{GfgW?riFBS!pF zXylnZahDI$Sn$U9H_hGa_eLYi+(C1~5gdM*Lc|yqjLyPm-gx`7C%%7k;-2!}m~qq( zM-W>5nc+KMSem%Ed;QV3Yan(-r1!pJ6&%|3i*f3#r+feWLNzp>BE2a61Nw|(|Kj@{ z8FKCXUv>rlC<7XwdXa}mQgNb&*Q%t+T^$qJI9(gJYxedEe^>Gi`VYpwDB11S*^1e_ ze-|yPGO^}_jVk}Wpf~RJy8=q*PRxzj(?<)l-$?kSnC%aqIj`)jE}ql&OtO4uLYiS| zmrZORp&vbpuZr#sED1-PVp4=Y~ z17*O;RqLIV*J;vL^j90(?D$ttI9D|RzY4Fq&-p0T@hXq$Xk1B2wn5hfUHmF*2zP67 zX{pL~JBA?`mx^9MfE18l-Tnj#Kr8_IA?qRFZBJ#{vBM$jF&M01LhHR1PCUCrJ#-R; zd%Dt#%#vxdfV$8V&_m8Pijq0FK&$R##jc$ZsA+B?hP6GdKUKO{r5ruc+GqPw*>+_{ z*ldn&e5STJq@MJ}N?tjhw0XD${g~B${@o~ns5km9FS!eM*u&nSJ#q^gGrcCJneQo>E2d4m6+Ux|s^95Y z0RRC1h*K%Ykn|O4a|3~*3^BIuJ;^Ge{L>KZv(E~<4!ZqxvV}EomftsEtnQ1lSq&JR z*(}d}!LxdPNagCx-nXcg1o4o zO`#C}vd#;Q?z&EHLQBtXm3Un!N4s;-U8ewxcOvujiSEb+1^Hu1%Y#$HJ3HAM;oo0; z>sa$&V@^39(A&$h32vYGw-hZxs3m!u)+w3GaZE#iji}CRsAk;NW@UV&Fzf4#gC~>& z8zK?y3WW&Ki1~sbuwMeJs@7dia}hgg2)H0HgZ&NX2H|#N5fJpR4|^TE(W{CQ;zf9T zazO{ITw92~1m+S4Fyo_*`7I4%gL?wkUPCNh!q(R82p1ISDqBUx#lQ5$z1o_sBMeWf z;Z~%=i%^=j`(B1tKC0s^V9A8tV1{8Kvh>P=E~F(@NRpC>YNrEV_V8%>qC}p}ux$7B zuoF5(kHzK?mea@^*`dd0Ck=OKCfj?H(c=Abgl45vDAXpE_BKg~KTwBuWXKn_w$?~( z3Q|PM2ACX3VY$(f7N+XNMx4Y+=#6Bf_4blY{CKFhEG!@Dg+?r@UN~gHWkE;Cx594j zwzi{e#;NqDrA%0&`Eb4Txq@LFxo!7YjQ(MQ+jM$b#j9Gwf*QT|0EOPNw2Z zdCw{}m&s!%)RWK~k+2nYWa$Oz;f4Bc${wRvGTo@MN9(C+Ge!Ig%daK8FI2~Rh%B;o zkp6~7M5z1q(l8Vun_FZ<#skWnePeGY?3qCSO z_pD!%zT?@|rv)eD-Op}`hgs&C@=DHsRx?5)vXEn^NTHV{D_KXBlPEA-LMhcBBuB8l zfcF(1q;-IVM$iH-Pd%`y&tL{lcX%zh+DsRw2TzowJzk~7Y z9l+8mtEv#iVvRG{QUSZ$3vqrhaoWK!b;&Dp=H>=JYGgu!e-1%U-l3-3t$LdqP5fL5 zj4xV7^+ztJ616Ju%yJwWX4_E_r|)=A{Z?v$b%rNWe}nCP|G?WiC)GLA>0p!^0^4Q9 z%%bAfQNjB-KO7jb`RqD% z?R{lO*8H1z+UwP<)lY3@O&7gJpEb6IOd%Ty%CW;Z3KIy5z>!o2s@i|*mnQDK6L@H8>pJYbdPz_MH}csr|q3&3=Idh-q>-TO|(fXTXjI#^3r4tV)xnfI< z{ljeczbQ@CVgl83RWo{TSYs80*mF(OUmxeQTOPB7()=mQK&{#OcAKqc0-4+DmS&q`Wtc zocHR8-w)K3Oj!4QweWE;IzP(x#=oyRaY^WwHnU`*EOS}@#vPr_@ZXjgvVl6H`HDge zFTcV`tJt`>t&tk8Kow8%A8sk(m+TD?XrSUHiwF~6!t(%Eibg=wC%{8lCRjyHSw$r@ z)@a&nJxwv3gYNK>oB^vItHF;C^VHV6OUSPW{zmL)b{wh zO?OCCoMl83Yl6?-XdLv%^E7V^kMkL!l6fBvvI-1Kk`Jh-pSNAYIx_qfa6s5K!(YeHe|v|^VNqa?71;@ai`AA zIc!mye12#6YyU8!0v+66UR|mGD!Y%Pdg=Lr^jhK|zJEC5@k^^ab5t9RwOIXU7tf3Y z5#_=#h`uZ%K-{EaR@VxXP|^SDFl`(dJ$f-XJ{lpMS>rtvPPoy1Y{lWpYQOL_t_|(i z_37_`i+^k>ID4PU3|nDhh+sMltkapA1f*yW-Y!leEt)&`m~L*KXw=4k=VzNv4?7WD z1QZI?UU`0iS`(pH1*U>@jshca0PrJbke1fx>u>J07;xGV9&p>n_nn z9zTv1_i?jgI8q!92ub??T!8V%>^|+Y8hzzg?H{BiyOuSCTH4{I6RPDJPejhJw z;%K41$9#Rl9}n+W|3tG0h5Fx;UXfRc32#T2@7X$E;klE>3g^mXOsEN1`71_q&fX%QjR)F&AW`TyRP-ZOriy`a7h($n8qJ>UAG> zH?tp}WZuI`^`kjcwwOBBU;_-EpF|}Azp$?M&39j8kZOE);}iY#4dnve>|ododtFI& zu-EX}N4z>A`k9AKy60@EBFNKx=ZAl$#2yGlBICV4y|N}2OUPBZuJO#?I2cd1VX$w( zJ>*4G5pcPmn7^&RG#e_??))ZTWQpPY+GH~7?zom+Fo&~_=Aa3jp>5IpDUJH@v_Smn zD9Kn1$M}dzb0cT{mlIqrTu#BNh;hee*l_bj_fe z!?tO32<3u1|4)|8_pitC_C_sGAsIsAfMC%QudvDegd zEQ1vhm2CFAw6Vxs3NM;?U>XChpaUlB-7x0|tl2&A+5&G*#N-*Lz%EH^^#u>}KWbir z3fjXn8*XAa4@w8vsLn7<*5Q{l@bGHG#>6z8moeSutrD&(@VAk z_Bb2~a3TTPsXT!W8W8J+7!>c7_68h*$g-XD#-@y!U} zn%c2-JQ(WR-(9yR`c%2_=`H_MJ{?e}eLw^K`)27cpK69 z)Vo~#o#VS(Rb71m^Jx0>-GqR5U7g^2)6w0n4PRin6FNyY5)7_EMz*Ck+SNU&$N z$5&Oo(s16tkC+l7qZ82_T8K8!H3VWsl;YKE0Q1l9$=0vJ_T-~%*(}K(&E^Il}tF$S8$VFiV;?di`>Ds`G2T@qM0K;eI8wkq@r5qu(e4 zYuO%b6z$KJBk7Gl`hh0vPqxnZ&(?H_?S~K7wNr(>K8T5dl-;+wNTwHjL2)F>vrAf9 zgy4ZGS6Nc7tRP0T@(HgP6OUVS(*3@7=R7>pXz61c%ikUS)cDc_mHw{xVV~ERqtTsO zmIc}kI)PWxh=MS=>HT0n5zw}PM&?)yO&()V>m+{sS2h zCdZtoN|bP3kof!eyRy7X$0I9chRRrY9Djpm^usCGw#5}8^UGw(slwqEAbcQr1oE2^ zMGd&%7dQR0b?wW}*KW7mW{5L|e3qpR6A{Cr_?$R^k%{|b zb7XoZ4@4%&OiC6fTOmJg@Hlzw@`Kmbz7>{p$Q#!C!ASXCJhzQd`>)j>onM$=zFZdN zd8`X+h)U-(R;VPOaihr7JL>Nba>wyiJQ8ceXi>=%Pty3|&-*k*rbgZTTI-=JuN%n} z-{jjY9&KMAAD=&%Q}5{pptxiPejVblbt45f;Nc1^IqJJ3XyMCrun1(e+fr&oBLG zhQQzqLxqejC?0x#sM%~QU&-C-?CKr-egA29;H{P0j zLQo1FNYh8WqYiq#qsX~Yu)@U*M{VMyq~2(~L&@!(N-hyrDP_iWb7jK{Dc2m7{DwH< z3$!uVAY#HH7S=SK?f(8f+jd}V1_UDhABKjwl*rvYxhg(}QnQBG(J+RD_NRN_%mB93L*HnKo^wjs9ct*Fh#4ZQTaWi#!?_G4+8ujk&)iOhxQ8+ zWE#l&NR2ph&>A&cS4&F^eA5Kx!SOXY1rsYIW-|O~pc5&3vrC*3oX) z)>f^mYNhK#F?2JbM-3Q-vwWEDx!W!GsmO;OGfdLH23|7A2AP3r5EUEiACw}^(VJ_2 zJ(-AtpYyBo0i!q}{TGH?;D^%!#5rb=wLp81pL(u)=p?vn^efMyR!WG zsw?W|(_i*f@?HHTTS7J}Gc{>gH#B8b@jnj0x z5iDVFIP%NkOj}-KW8+^bDN#4uk)(lNTiHd#XNvA*V+xG(e%_Wtke##?3E|O%UdcSg^48#tu@j#-q(qr`i}>q+{(Y zc7IBk{<*i%3d$$+&sW510#8BAp;xzlgW%E zcu&Idw75N z`Vj%Axiu97RRBn~u&jiH3~63&a<6PXbWdDT`oqHfuFt*JQlKK}8;dUL5AEX}W?10b zp(y0ZqKl$6bl?#FJtv2rmyZuVm4Z7+7M8Q-B~RbL$e>H@r~D=o+{*~meFfu65%9Q0 z1FtU7JkA5dLbS?@vh$}0f#Z49>CSsk(?Aympg4iI z^FBzg7C{@Asa%pil%M7cJm5VbQ_ENBM@A(Cw0d(WXf3Cqwo+1Z#UAtE5vzLR2WjVo zy^Woinp%SA_YSOvo61?S`M^*M=jQSd17Jg1h;CR}Ni`0yeCpzS2CzPw@A{T((iwg^ zxxF`y7qBg`^P17+?tQA~$&nvEeE1Eqy3lNne^7?~)0;Qn)*diS%8vpw9`or_A3mq! zM&Pqs6Qy13moN?LT+`edO3^J|rWxm@8?T#9efd4EE-Xe$LEc@|L4BS1LO zx`gys=JU5=*bTnJfLOsX0Inujp-bK}r!=?J{7L1mN@eZKuT#&}8%Ia+Fi3bCVO`>s z$49Syz{khmJ2`2G^63-_qC20WmLn^w(bL94uiKU=T@8%K%3d!~r9Uc?YV;%o5GZ5d zM*Z+nr{d&%fd$J5Bu~eoN1o%MSKD+Y zBBU<&R8&+3Wqf?zO9*GQr1*Yt&){xRh;VRW3s7GR`uZ)A?ioH-xCpEWV09LPyb@l9 ztgbEFVmatF2bi;XaEj zm%Hc!u`l$~ zwXAUo38l8>Q(b<$2t>=aPEd75&-TluL7-0nNSC zY>s59EfAYnn8xT4J%pv-b*rxjWfHo_#-2b1_?nVJ0nAE2ptJe}J?{b40@%=fT(-L)N}Eg z-;`mabIF6Z*$m;CULp7MU=WTj^c8EMV^vjE6%rvMCx3~DhvyY``Y2OpPJwJndv|4K zNx4lZ6|1SKsSw^IP;~DAj~9m+`If&eF3^D7p%Wtm?{sS%I`870dT`z#feF+2-Cg58`<5hkX5H>kv*A*C`k^@uZZhWzqx`%e#fft#+q(1ifsE zMuRKjc*-?U%_b&dNJ&Y7?Me!0GUZA7lV^=k-rs-y^VaL-RbqwF%$L_(u`wR7-wycR zP`&kiPIh)IAE2amHew5{fqQs3E}REI&xeF{3kMhXcW*BmXo)>R8}Q${NQe7b*xCw! zd5bfP7DIp$!J_j!6hu-uT7nL#yk?sqx@U@PZ=Ka@{Q&3)Y%t<9H z(Pb&!MUO`P@%+-^f{uSm^{iPeLn77-W<+F61sl7TAOF2{yLMjN+(gVn|F1NI^P#+f z`2a&p7EnvwYD_OW{9(CC2Tenu6UL6>sRhrfnQC=-kc9T?LsuIiAtnWm8`xPAj094= z{(zXihkOlnUXdnvVXs?=6s5zw={MAb0~u1JK)!qeE(LhRAJ)Mau?RF7(BdL_d3mAW z52q{h{23Tl>`|5`PgQKByNuDL40-r3S>!XmPZm#XovD*Um*~PZ0U~8)XKw*B z1-gHiU2rVQZ$I1y&As{NwJE#ZrS=wIYAkH4w`t0mhO)A_mY~$&n;B#D!$ZjN%6v#U#s2MZ=Km#5>VJ!cXV`w>Qx9j>}58& z*M^4Z=f^XT#JcnL_Fws`)yQHIyDaTP&o=j2ui{BW1lD-rH@y^tJJ1v%(2&9+%`tv* za>sg*76=IoYl3|J#-ZfIdtXdiPBoxm=gYjQx@1*(%WQA=Zw)(EY4Y%S_}#raI`U*i z5V8t>`SKj5vS`@Y*n<`c@Fo?NinQ*7cG-(k%)WWhy1Ker3G`?6=Nt5hZ$rog*4~RE zSiguWe?c#436vJ=QQ0#u*BPJ#eaBEkl=qsr)-#%zi)5=+ENox@mI02yN zt)U@ZIh2M!7?_G(U04|yE6BOe9q8Ae^PaIuN%VTwII+X6``6f!(!G2lKMPhHK;8WY zCI~+Nm4Jw2HXl5A&#v*DdlXui{u?BO9dF?S_?%xE14^5r4`c>0n{gcOtO5*SkT(>eO71Xj8fiUC) zXIVQR_HwR4GTE7~qTv47WIS7ok4OXXVh2Hl?ino5F^PUPS@%#adS}V&@$$i%kqRe! zJ7>xjPJ$SIU#hzFxRN5AHnF}sTA)D+!hk4*j%*(Eo1|Yuw z9vqahj*I;HL00&BS*J?Z^D{R8*ilwf*>i?7j6vm0Q#`3JB65-65S)A_!6v zA|l->f=ZWkOG|?Sf+9#rNuwy;C`f}K9U>)-((ug(&pGdXzxxl|AFjWgb3APJ-s@Rw zt}(|PbIi-Kjypf^Lc=`~bRcFjYu|>Q0k*o3uVdlSTvN6hL5}8nq*46o9`6qd^4e;d zmMoY!Pm^kX#4bZUD53nvs;Xn$lWg{dgIhimdTn=gg@%q*a~W=rYf;!+BR9|-sf29`zI$L9uOf-Dv>hHwwCp#dlnLO)Rb zMDLyM>X_DD(pQJ8x^gD_RZZgoDh^qH5;brv8%O%u!qlvnrSw+8~Tp}BsVDze8IN@GJ zT52loCk-yAXlOouUC~_3gi$kqW_tfVIU3p=(WO4^%b)VB2^b`!U@jsyC~nUqFf|t^ z=aa}t+^DE1E}x#qxPxr){Lmo}zVzc)PIj=IT<6x0<2{RcI@k8KvR<%?!iUZ%9)n6O z;L9LkB3_1Q4vyBM&OfkV7!|^Hnn445rg@^Fx;hcGI0t~=0vdFF=z293E5o7Ke^|*t z{LsEBZ#{;;;Na^Y@f1Ar-zGs_FE2QL6;Wo!b)%!HdZ$4c(LvAquy_Th<+5yOV^0qO z7_@vsyP1fC74AQm)yY$Rx<^xazs+HSt?(j@Y6Cj$2}q^@eLanlg{19sZ!e*flT)wV z4H>!Y?yF9x^GY>~VAUp=dd&_Dhw8nxjFHO$)&Sw7psbI8VCYLBhVFI}y0s9P+WN$4 zzI}FmvIc1d2EI6N8}A#rj@|}+!0&ZbMP=3Y$y!>JzHkMSl7V7%To&U7qu5gIMmh*G|xR22LX80N>&`mw31b@Zh|*BRMLtJ2Gs~-azK+ z=<3=AlXk9%jcLM7Cjgx_yX%uQ02X9nfJ$88WCZ}#dyj_ia^tw6^wmTQZu+Ps#_D@%;`X4oUJ zLk46YK+il8Ev-?G6ER7}>;1d}2es#Zu>%9ng`x!7I!;akkQL7^E`|XEA9215*o1^g zz-0(o9LQqjJ1#S6P~A;G)2sAu2FwrEE8)=F*srdLFDfq1%*%_vI#SZH(3QOP^QFW6 z#sE|V*g;BQA`yU=os(k*<};Sy@i^tVNOufcPnbl(0~c7)H$(ULGO(}1cTKRR|Lhx8 ztrS3|tvBW?TlHsqjzfn;Q7A%+MFg1PByH zD>T8k>(7w6;IjG+ANoeZBO;o?f{4tyC^#4$c1}xI7cMmY--;yXy##Lxdzx8Hj2fPX zY?b|3*@+ej!crLc>n^P% z?fCF8W+6jSynD9|6bJE1Nq;2-^Mo_YY#_#Ze%xH$%^P**ROGC<_!8CgKtb zMs!YRr@pTweW}57pgl$CQ7KGnh2GKA#p@R@Ud+?XC4jsr2)<4hsLB!A6WL!;wAYDY z#xR&P@j{0jMlF+93gaWbD31!Mi|<|pK+=1I!)t#RO*jQFAeg%P5a=cO){hvJ7IwKq z$^bswq1uS>kw_nx2S5t$T^}2pL3T+lRe|jXO6lX7@@rgCTh4$pWx>v(A7-KF7|W8_ zjh3Q120rJcwpTHmKie;UD=LaLY8?{_zD#S@ZLk3)7`{qd=q31WYGLi88a|h!K(?_LF$o z=?|0E)0A*2`?pNX?WQOJ%`YGT-vgqp zqL-H#sI-uZ&1_3pWQ^>vqKh-_ga|q#?23Ev=X2K9=#9|Bu5E)rd5MmW7dS5UkjVyr28Y_Mi(qP1 z3eGk-5+jom)HK(!Zye^87p^I#Kf14RAwQoPIPGX9co=|v_(eoI0FsePeqf`44lqF> zA;hZyK_^27&|e0eM%g+2qQwMaU9i-=35OD4$Cj2hDIaS@U-xe2cR!<6cB70|^%8Gs z{k$(_`YbIua=1)mspYF-r3ug}%bv zGd)251uOR8bLR_^tzD|3(*KmfQ(Z0dLq-iv!ftygW zS^{Sb2-#efX)Xubub~(hVnn~wx*@4w`)qbuXhZ4D#%7$d#_hLm=Z8^1WmMC?dvvGA zJE|eEMPFbN&n05wK;R=}{!M^M0Av9eZ-V~RnWZHTF#>I7^KaelpQ{eD)af*T-1ulZ zyIAGdjmA8^5=(ft7+ENDlo%IRX{`4jgk^ z+bH0G@4?(Zh%rTdk0+s=xDbJBYeyrsL-k$g3?o%UM8V@DZ)O%ISI)g;@FNB|kCY%G z%H}tBjA%XB;{z7P<=3eCd8SSR#`|Cm*9=}eh;d85Qy%qgK>blQRb~#qA3`QuzXbon zHgNVS1j1mZDY4ay@`DoC&;TJnEQux&;O)oJ?sFT|&&2K~*l>D)IYeU3fFYuHLFZ1CV8o#CgWa685TB%Fsn67?0= zt9KO@vFxYoqamMqdY+WZT}f{F{22?7Z)TR7@Us`M(FP6JIO4MxuchUMUu;L{(LnOI zohROGR>>=U9=Qf&YsE&N0)Z9+j|sB&_A@)FyK>q13bFLjpc=mi9vHwFmN-_Vk@H%& zbS%0;X|p&xnC}l#NQ3EMz_Vx^ydTzwPGTU4%4|liP*PL>g;`7-99Zh=>hSW#lP6kN z1SF`Um6e@Jh{x}zKhVjQgv}@Ld8~M)DbIkzruOmSu2qrsjjeaq+Lh0`7LaTgu^NDV z9k0O)HGTj(h=Ur4ZX?B9SHfd1c(Gl zL3nt0kmJB1cAXwSYE@^2r{<9`e{tl{I~p8C`C%E@RIq0(jpv^}(tepa2~F_e0TK(9 zb!1JmUBtx1KtqQKp)Lk7;Q+%I>pBag1QsC4Xrb0>VYWgAd0h+aOQ(bF2Y=uEx$tXf zM!yaP9bVYmnr=GAWe2-WTn^C~0a5<;EyZ@a7}-pAx|7r!T9KK?Iy&Uwd_zP^iY_E1 zbPgk$!6g#d280>~0Rx;KCb0qB?i3+Rpa?`EPhR4%W)&Alpm`(kTxP&z05l}Ze*$q# z^!jzP)^H-kvuR0GD;h3Tvx9!D5Zl=9+C7nXyp`T#uS!y=pf`3Q&NAZdnR3m;;#^4#1UAuwYygwQd8B7&6l)Sen1UKutpf zje>##98^l1)8?L%c0-k}d}o81TZBevqDrOLgGPDx8G?9boO{K z+$IpbsEAEK?to&+_- znejeCWC!wuW_h|7)~F4ezl@Q8u(L(-Hy7nh3TI$8pq(5V{e!?68u1yqxf2Bi10b&3 z0x@udf2!RAkx3XZxghnqe12g(fkXhvMIW%=gXkU!@iX?jzH7@a>bjnj3%7wVe^_y` z{ik$8BOva|i_H#E+)u?LO!90`aly_i30CccW%Bdq!N|4%Gb(v-zypkr?I2jKO6>fDd{*dwss5$rq)gHXai>hieN&|ALJ^m{$t+8Co;RG3Y2`o); zg@DK7lcJ)cCDH6AV0Zf-{$#Wj{X|F@iKDKkfhT?O^J@?3(B_2uH+Z;OL!TWX{~wU< z(-@WAn;?hK`(R52F(cHW;Y4R)gb;d70X#Z^GviQkH`?AamfL|ZU($eNpbvN>>1u-icAPgMul;pv27XHZ z7Q1lULCJHS`Va=#V3n0uffs-vMa=`@^^9UAy0#h9!zj<2Dh01CAy|BGW9~%F;aJd) zZanGPSSr668rU`jfU(C6c-L}?E8GLPqX&Mdz|LT3YHB7LX+A@^#*Z*=2FcLRBN;yI zbS7Tj=xBCDX7uac_oX|k1m?!6J|^xE?z*_BGu@8+f^r+p#X^uYk+kKVo5Zj5(m=!e z%Q>QFi38P{#&9vfetQBLSqo^YTxbXG1vR8Z)rJw87{5Crq=J3H&tpq{YE*iM^Lscc z61Vb98zd3?rena22)CdSOM;lR-Mo3z5$2j+wQ63!*Nae;K)i>74GSeu21r^T2#K;8 zkRh<3)NMTlH1>W6BpMaP%mNY^px+5si3v;7)$_u=gy5lu66SjwTAU*K_}xD)3kHLkMGb)pnJ`L;H!iQL1T=5Ve8 zn~`GB2FQUF>YkllG(aG3+g}ig@aS()F7~G10@4!Kjc*fpBqlB{9Qa`}gib=gqpBKK zQ6U7j*#eMzpWieSO zsXGBeEI6(rd<1x`kwV6$_@I+o)$!Cj^&9CL3=s>2`}^KN_HB3)p+K#wdubHhRLq$t zvO+O7Hs&$>fCu`*MsU0hfXoS@6Updvv$N5G8jzbZ;!e}Aff0TEGMLT)ZQq*K?=BxJdJD#cw_NC7?*WvA%L0riIez2?pqiv8u5!JY@5z~cK#&x|s z*)pC`t9Iy>a0_SxwodA(^G`zl84q5_Apoh}ve3e~rErbnvs?MzJg z$%%;};LBtNc@9V>$q=#w{d>KyII=N-o`5{{=J}`Qw5e@5DDk;kZYg5cjP9~BgbhW3 z{3VX;oE7Tf_MYB)xrM5Z&QkMZ;vwOJqR)DA*|Ui15UjUbz=0Y;VZ<r#S$8XvHWLRd#iEhXD46wd(u8EAE`I z{b`RjJUGR$ui(jbV6-zTJ@%GRZ*19MUpy2>{tn6vPrQ4dFqxCYr+$GtGrShC7XF<( zcg`>8fbw<{(0|;5BHa0hZ)q1#%vI-JgZ#$K!U7!#%zpJe>aq`|%{dq~WyhB2*V1nU zWYhT1%JjDksCHWL_Z2>gi8j2yJHFA9JFQq|_EeGg;OGdhKXh;r{u_q3c6M68*9Wo; zLSJ9s^DrD5?arlY9^nRV?8wv|zk>w|@LOc&E(z`&FF_6U>!0$4{kUzMlq~UCyGp;G+?c#6%ZEvV!Q*V`o!GK*@L*U~s zfaK>AT^Q&U_1`gP>T=ik`@)q~T2^+>grRfT+#mwAD2(R{KR=bWwVJNfPH&CDyTE>` z_9=*AG?1sA>1+td6$+C<@RTBv3=|DmOfXl+1_=bEq|e9mB?PEnwxu$hccN4SQ!*JD z8BstO6!4E^MQ#DaJY?W3hzV{^Pk@U+UXp$PAKp7xC9M=XbiNU+_V1n zj`KWm?E@{00OFhuK0MLv;dutL$GJY%753^0EU;hapobEqR6&2guZG(hq&TGDT6q2q z$dpu6LZMU%9}N?z$iJXQLLzM^9Vf3_sU|M&5*Q#*g%L8GSJd(*KqUj!f%YQ`B6Zmf?UpC^&wdDK8n z{8K0eJ;(XQq6An2W#%{+&04*32h?=Xx)%ah^EnRDvWJlgOHfFI-^+|FWPTh>vI0#H z#Dd<6k5BUq5Ta2_i*!+njL4+&2tY6qJl;qOzJFd`>rX_atvX)i&;fZr5g8c<6hqFx z^3Q+d2v9o_JLVCn7_Jqh)4g#VL6H)DkBfpx@f_jESj0;lFxaAmsZ9h(5o3 zllV+~4pc*e$q__`20{#aBSlb(K7fLRWnTs=+&Bm=LzJ%wr5AufGk}#~n9+YPSBRo) zI#6v3wu_YjKvjS8#}MXl5_@?yyDt+HfrS103HOyN1fb(UVt70bpr(HWcmD-k&2JvL zW-Xzw&d@Ju@WM1?BzpqmVi?xt6&@}vC#PlhV6Oyt{Kocnh4al$1biJ-e=bW((jOik zp5G11Kv-J3*VR4Rir%N%wT3`_nkUM$8c~wHJxM{hGzP5#{ zP!%tcVhwJ01jPbE!*6eIFQ^AegnG{N$p+v=de3)Jd|VvL|0;>V%SSzKN#xZMg}{eL zR7^l6Xq!UXnl}I>>dcQH|It(!aH~OS^#1%(SLo`0{2!X4>q@zo8P=Tu(?x3N_&ImW8;0u*2et-bl#tHDDJCTY#z*r|6 z6gV_QAkhOY#Vk~_{;8atf8CS3Y)f|#@gIYEwkT-EEd*1zuH1&_^#IOZI}~4FBC2-Jtj50;jf6Q7?t$Q-_V+`{MdEpq=yU=K=WgoXW{%nSi79IiTeKNvG^i0pR7 zFaM)w`yb?p1nE46917&Fep6Bs3#{e?(+K!!GXMt}@E1^MJ3mHBNqYca~9--x?naxT+S_^Cp-ljOUq?P&4NT%MY-1rv}Ap=SOsC#c4K%0xd9idR6vx({?OO1J3`$z>j(a zh8K|a_@~Np(j+Z7U-#NwLWK|d08bUZG%0|&4<9~I!r1NeGQS)grGE(V|6V6Q%e@93 ze&GOcW+6k0pog8VXa#bkSRj!Zq2=qGpUX^0AO;yx>f>G`-T_+2fEsg3W_4myOsyiH&mLkv$0!Ct3;5woH zqZF1|X<=;*9{@TWs=v>=62v?_#?_>Nf=WwE0rSA=gq8bzpn8Gxoh1cCS6Ec$zdIC%<)hOlm11GY$ak#3Tr%8ct&k z4PxL)Lm?gBWHe!7;sr&51WF?$eQ*f)MDdB@SCGCmP&**({BiD^0wd(2LP0@(69k-M zXTTUt+K5#q@E17$GU`uZKuaVvwKOBy20|5o@;ebj^ud5;G9Y4S&a1I%=UXPHrbe6{ zHJr7aolKu`auLGjQ-YC{TSkO{E|^$ZkzJT+4ku0yBwa{%2BgVvfNY1ClYM5nogf#6 zygMvIDCqp*pEq6b;Jv)SG8!tT2K@qg5qg!dN`L=o2;nT#-+{;e_fJGiCLOH6`Jeby zv;G)Bcjtc;yGt!^{rgkd5C7M1;2Hb(B}DmD@4>Fhk+nvwjkvyf%daqHJ5)MYNnF;|FvDRc_ZdZ zKfe(&@jr3Z6Tis(M$zT(&V(zKN1`7!Tu~JPX0kyW;nMeqzdC!EJa)i93F+0W; z(T0Uq3x2j9y}WC^jMe7PE4x9RV`^BjCwQ!#&!kVZ&ay6Dy2!t~X8Uwxh5C)cUFIR- zis1Jrw>C|xX>Plx?{zB0eaIxV?zD&-_P~|#Czb8I+nn^}g4tvx{mM`g#)Ud+e*00p zwJG{wzQB6fo8P)j4jOO-W0-Gj3gNx?y}^=2*nC92T&e;Yroc!K1X5`@wr{Z~)xJs8y)%Dk)#hOTrWxQ5)`9r~7Ux~xu>Pc79 zaC&j-wG*BZsiIsq3UT~34@&O4w)xzsaT$Y(hr5nVLZ)g=lUUxW1=xyxtBeQf^*nYo zgGz#NZ+5TudM*u>CDs0!j*CdA%IBXlUCF@2&f~<_BjdB98&oPdNN}>a*v;A@-;wh! z;jG=S)cm6bOAz|f9S027JMw&F4CM(|iZDW;|a^ z1Y_#;9jsPPZTS37SkDw6CE+I-P}lRQF6+G)kAC*S*l&MsBU@$--WDINq?byrOm*6t0iWvN5)n`!+u zIhdKuoO=Bso*ERsYrej6a!jS(Jle8^o8#L8dY?`N=^Ig^YyNa#`c4OY+LE0(UZZr| z5RY8NAXZvuy`M8q;juabdv@Q`!G?T3wohQ6Wmyo1Mf$BSp`F*R+@l=>562y*o>#R2 zh8V=zm{y`oXQ+}KH=@!X)`b}0_z8O%*Ig=e=cgw(X)K66DHW+e7mL1l*>YIar4Pep z#a%iJrzpR>ZHsEdTuzY~hXtiP)pE2R)61YrPBw_?`0?)>Dy^rXF9}(0C`$$8%hvX> zIniDG=HIiI_k)^A(zUH^`tfC%i<4vB{YAREda0!IJ?T#StXtIEN-U&P5%QaAm^Vhr zf))tgdU$2uG{SQVZOJzOXox2L_Cia$L&l@M7|Vy&SU)CZRze0ve~;h&afjIX%Da$` zylWm3Zd_tZlFxEyMBY*E()+|(WTFQsKMZd-KFrYVV9V2f{!~h(eMZ@UK#4wkZpM}! zk4G{%{h@op5v1Pff4Pe7k^6sIk|y zakA&=J)-XOd%dD0^6xFU#44wY|CBV7iF>V6N0Z7muHC+xV?lDqb+3mv@la%l^F%D= z$&mZPaITKhNzFjq1#=ilx zKjBfuz{V5%uBRHm?vTH%Q+66t%HPN$vnw|+X6ZH7%|3oq&vv$b?MqR#-!hjFyoJcs zwWk~XB=9ll%f}LachKZam!}`Akl#6D3BE(0W+P=##P-aES1O+1^yKUIhgWq8FTZD{ zhpAl1ceq#SQn4w;XHrc?$MHQy@=&bKZ6Kx zGQ|g$$%3*Udc~UfcNY)Tnx@m|&fF{=s`-=EyDFSCl~!kZxVp?xs1--Vis9R*Jm9}u zF(T}q=;yOlE&*YB!0SBnlXVEK<#`R{N4f{On-4F!^}h3Y_Qs9E;n=}|a3~Hn4##OZ zwu|q&jmpIn0+Z1)2Z2`xRFc1`>PEbpx#up`)9+KepeSNA%&xN5IOg66%fWu`zD=nj z6^F8v(f?Uq@7EC8#a^FinXcGUi?JGhHugh@P84SF4>3COGv~_$kD`xqvkRo*z zB_KEu6N9gQcJ*pwsb__m4U|b@y^A(gJsv#kMvVC(Q6-fltslq(n+=&^Rv(H$|i7k8@2rxI2Q2Jz;lckkc ztak&QqWZljC|w3H1DK4Ss!D&$V$lEcn@+ES9hVhl*T6rjjijb=6C*1_0n?|x@j{U+ zsv_amcx=rkW+8$#vn>fr=98m$_)lA^`s)vD_yq(Nf_~EV*QE!`qP*EC1b>joEQgHy1A}fB?o`T;?PoR{#TZWG%nHFcRVjaDhsb7frDgn48y7kZds@d-7)g?9ciQ$+s1e z7xp)Ll-UYxiSM)$6PG#UwcYhV?t?T9QedXOF!E9GnAA z+jlxiGV9B=U90;Z{gOrl6n~nPc_LgwGdcRSJTb>zrBwzPUi9&jlHKuY9PGv>Ah^P@ z%n+PAM%db#?lx1qrfK!|mi5>BK8JrIJwC`>I`);AdFL8j_=r=hV3?H7gep>>Ms@C| z1b$+KZ-Y;uNcB~P-#9rl>%Y)?%M;aW^xg5&>(RoBr|wYH-ug%`7h5r>@|)RSn zT`0S57^>*`{!{kI`ww{goI1s$sd`N*2G2XV<_64)qeBTEQZ?Lhcx+WTHz4Cz?Zc3h z9g4esN5oVe6;1T^BE~W~;oGiqditNj9K094O;w6Tg@;p?bS(#qK8=igwoj5@CB;qE z@Q0KT11*o$a!BRVDre7kmY}XlvEnP`n+E-aNVI>Aex~AS+x|p~c$jM+fx}4=c(aDhEFw9D`vDGM!ibRdv$p zd!s8;W(U|(`pREf+P%XijouH9PP~h8t&?iIYe%JOZ+A75?e>eRPOlvyc~+C(m|rsI z5B$&cUVrsS8LxW#Ty63}G})v4<7Ri~&+Qv8U(H88*wkc|xBERx>cl~ECF@kV>~#Dm zQ87mUd`vXQ(pele85*~KHy$_6-L+ixY3qW-6b)j0*`N#)cPy`YR~EKcPi8+c{@94W z#|N$m0yk_W6;6HW+G)bJWX~?~P#ZE36}^`67;Lv3;viKW-V9omSXeF~+SR(?FC!RZ$;tWgnU;&K1hrww3pc3)ZG4~; z_0uMt4B_yZs^cy9ACKT0-~VCP{)b~EaOt+%gt}~ISf*l%o59l;DG7Vl#*%wUU~yTV z+;Ce~M&T2G&HIBoVPadS;a+;7H95H`UAN9CllN_!#-qc0^0YS!6`y^svREl8OE9=M zkd)#Uv;E6`abex_@%L@R65^@~B2)dB{wKT6*WL1c#6CW|inC3&cysZ=K{DT9kKlaw z`&^!eqf9cUTi0rJ+FyNfXYfzGM^%?AjfoF;>S4oXoY0zJ=ECGy%+I&?Vl=Khr`n1q zJDj=9Gw5G``)NOQ?{0*wu;(MghxJbMIxQvMR&rY#7GqXH*0)Qa1wFUfWB8tMhVl@qPvjjQT3Af_6I+H(oPPmJJnBrkZmw~qQM!LJ;n*9lv$~`f9*=hUn^vaw|A(i1m)xyRNj4QFuyy36$@N`Ke0%};}CNp)WtLr)X zR+V+%{z{pf#B$)f5%6Q*^@WfbqgaSeXl_eU7THp9T4M~Eskv5Fu9~n5f70txzmn(P z61TYCA2cxc%jQ;y%C_(5?U@K^c^6y`Xp@ESmsUMQK@h#*TTKGE0Lsf$S(#Z1Qu;I!W)7iDk=g186x!n$tq|cjdP7*bLyqZ0e z_w^lGiE`sqHf1y2YWsR`dAN%6sIQY1`ZGKci+OwW$nJ_`aazTn#H_$@c@CSGYTWOtlXnmSCRdHHs3kay%>FxuU|dprgQ0%N)^ zUw3G8-FZJTGvoK(Q6eHUdoeCx-LGM)4*7}$r^Opl6NkI}0QSKVf@9r&OH?pbIh%^t}O&8C*FmP)q>io@d0(C~?) z^i%Y=!tYJC5n9qk74H`R#*y7e&VWq(rp;bcnT+A1`j2n=y%{nMImu9(qVpE?%=<~# zX0IM|J&fQsAfSn1vk#GaRsYAEN6Zc-!_!&#GiIv{5Kk%oidg zKIYOBR$&Vc3U#B33RfDuPuz2s@48KMiHt6KX^Hp6Kz(rHBBx`X6rScqEt%OGMGShg z`7M10e@*Q2Q!MhHX*+>O7%Hw__r88~q7?CCV*8W-XaP+GC6TXlf9engHtS+ziFr5S z9j9+7(wtA+%saAjauX}^ib75=G~Zq9dl7mfz-}*s?pbLgvuiOUu@+7ru)b;1`miCU z{KL8p`$(ySduF~((p*&MlZExwdiv1Expz&Ux5=&P5V$f`zfqABsg-mSD{k|No}!y> zTG>&s=r{>y_~0AR_bukYB&TDm?#St`^_%RXUmxC4{t~l1q}I8LiiN|UetFWwM@p!3 z=(-YJ_=wK0<|;cSgA?Z}>IhBUn`!|UI|U@<(gQARc`;5Xpme_od_VZ`{thcMX~*Hx zjv3z&Ozys%fi@(H5j4@7@|^q9{^Vn}%Rp4bKSjHnzk*e?;v0K}#anPN^5K#>QX30!Px2TTo1Vn*^k`h$Em1aB!XYGh&8^7e_Q;G%v@^4Ymbvsv&?2uopkJ1 z<;Uwo@`d38Iz11r+^>>LSs%&edir6~aC*U{%NqTIP1wwqx09YjrP^3d}?840NkJt1X6>qfv5#=^3o6tM18}x~lOeSCYR`xu)w>Yqz z?<^{)yZ9y_P9-aMivQ7#mG_KZg8Y`Zc2S~|b5_HQ;`)=3qnVN8v7%`xYBNh-B)3G0J8r)$;h%|W!oU$^Y_}2hzIFj^ z)w_U61UZ{FjDel{-yc!;&NntizE$SazMaQ+68(GC?w0QlgKEwi+<;jloE{prVCi^j z;iHBig6Z8B2a4#=5@mR@EvJn?47&RY9td5vo1l!Q7M5GXS>O93Yotwm`7+stSCgq> z712#2(pO(EEs@MSYGI-qoH$}T7pKW@KV@NIWoN#Az;b#!yy@F}f3vfLW`A2sK6-@- z`9bs4#!EvxrFCz#jZQ8ZweU?d#(JG!ePcutSo5qrR3cO*^2#zVyf2%Ygp%@53t+!= zcyUd~o~VvUe`@ZfLSYDb<6X+l-t{`gL@^G{&;0GrO*i}B1^b_^yq!ZGPCOZ{TV<1b z8qzWrE5I+>sC0b;->BMR{d0k6b4TuGrQer{fG_5{Z+2qSW(+@*{Mh!YJv%M=cpp8( zQhg(bLVfYunKE^l_}T3Ri_2XK+J%w}x<03mGZPKE) z!Vt$hX+|1>X}?Ij?`YEa4dF?7Rd2p$pBfFt~d`CzbLrG_<3UYvY0(rXCcN&iAgU-rO-_06S953 zKWNAGPV5A)YomBt<{vYdXk!!V)yU#R={jETrnMeop9@1>+ma<}Pg>P=steD(sa-Gf z^W;HexbAezL|t;mGg>3DV+wNmQ(W9fC~89-v!)E)W3KIyC#Eu03Vz@2=nN;Z7G4ug z3`wuT`OGg}Ud+Tx^O=Mw$%Uo(b)^1IlDV%7PmJm3;Cif%2g)^pg+B-Lwt1tyQ#6`n z=uZqTNnlgvvUxEEPJCQm8aue~P9pKyB2mkN#Qq0W8@#Jky1KLl_Zyd9m)2g&%cqU% zq#hI%IZF*T+lgiNuQ&eobb)g0plCeBa_?&4R~L(k-W;_yl5WGW=G&-@*GDBkF|fT; z<>Y6lykg$_6_xT}m29xgvr_J86RoPU?zhFO)IGtmhWF@CQyx3#;w0f&Mo$U3&)lz9d^2l6>*ra4f5@Zw1T~;Qi)G69{h@E7JmM@ldHM5~&cLlx zar4U}Bbl6IvR3=rU$0uPdh>iy0H}4#OD;JwbB{=KMyH11;hNY}bHl~?XCgIBH$Jk^ zl0AN*h4)$Ud)RPAN0$4udqZo&m|^y#wCnVFj=39Y1YVKhuZ$+2sE&`wO{%o;o9mOt zyy^|6$El=WxHQ2?yH@?Xqi@Uf-f8IMesxgdN$r)ro|7L}Q;)_6$-CeIp1!cU?1!e^AhQ?z$RrkeePTvcxR+Yex7#La_Tk} z-&sVzuWxBXJ;lrwKJJy6Pv z_hrQnbF=MedMt96Mj?^iK>0<~ddN3lYqfkg{(-sqvW*75%sJth@b=m?p-p(Fqkk4DLWS-4D+_zqOXaU!r+tOfO**hUI;X-UF-3tS~47a`} z{T?ND$Nm&SK^=@apS~okm~3<`@!%30Wp$>L-mS`_1yuR1n=gC)S~n%=who>s|6t?o zC}mp}C^CC|wP=~peV&YVx(-AAsqVc3Q775Yc_|*buNUezNS`nNA^T}75l}qM%5?OQ ziM)XKt)$~%4`&~Vr!}0fSa1h#$ zaOx+_S@Hbu;}h91+#l!8>Q#cDJQPZljz#{xiS(t#lkh(l5!_tDtI-18Ugmh{`V=HY6^}99Y-5{$x)zpQKNWOI zc-q?LkWpdi+1g_riB?A!mFy%ij5Wcl{Ps>8#^Wko`Be-)ksWEsDs~N6+KX$jm`N?W zgj))k!{!!Zh%D8#y zeO?sw0zpAbS(SQr%7tV1qE@0y(%eKsnyvTDMJJzNYuvhks->|q?0Wxt>XnD@hWeyY zX~8&H4SLiz-9ILf z@^eA$Lr9c~-NHvC{GWxJ%&~`s2YJTMOnK*6OfM={`)=HE-7y)e>nOkZCwPy;JvRzR za3g*AiJ;}=gR*jCGNK@s$*Jk<2$P2K`c3Rhmfv)?bf(3&R2oy2y4nc8_1I3iXWPe$ z)knb@v~qvBEfhIp&yRA3G@UQlaI0VJRTBKRn7dq;$S!G};{0PVIXlAB|J_H|cnqtm z9>37z?b>IaQu&E&>1XCU?!dR%_j(h*6IhcGc4hmFy7N=h-!|gvKA`xcjU7 zLKbEeJ4eFPDcxJ*aw z+j^OpnFThk3)1)WO(>;@q1k;Wr~G6~L%#d|+sa82v8DJL;a9ILGV3I#Af0)XM|%T# zT3;x>;pi4Q6$qd-{E~`_e%zip{rIk0RxRN~8eK+zb#sLl%F2hOh^A*0jAC1iestsp zn*|xHIV=Xsqv0*$i)PK-Me2MRcsJ7MX6M$z8bf={`m!-b6E8(Cryb*}o@gI2JAb>< zTKqbu>a|0l^#h67OxIwWFV0x@$2UTKKHv%5a-V6aD`jO ztUvBwG_^DKuXcQtp-XK*LBYwsEhnS(9$U2XkUMIH?1@-nXXBtgZU-@|di_JuYJ!wN zGR&BJ^VvFY1xK6nl;*!b^}j4&kN+@cJ@Okq+N|yXnE~b_kLNhjCyz{9!%K8#`{M8J zt9o;HfErBBh2g4jOW&v=hIHJ)9+z#sUoyoK!Th+SU0;DVcjfvGs`0OT)Sj034eMb) z7{xo<=i3MOZDfywrhE0bq_Z}w-%3m$1c9GXiyA`Yo+EFiZ5ja9e!+_~278(=q2Q4ipw&<|K#GlQ(y! zxAEImPiWKqCF!KrKRx6s^lOE5u9agw?{fbd;CidMhPUCZl8N(ITN-< zje|Rrt@bnxoK)e&h3CDHs8tq^rzv0VR(cx+#PRU7k;D5;Svhugun2QVT=tzD>xr-U ziOyv{rn>zqi&OlL@#)>~w&t3J;&qB9JPtjb-T}%rYs>{N7S|Y6{ZlzY93Dp}R9gq2 z=Q)Xw|EdT6tTpb2=4&V6M=uX5<4Z{1rF+i5Z+PH=kEwa>MRhq|EZ3Zhly~&*osmk8wB6t{r!(Ccic*jiaswPTT-a-{YoIYAdu zIeuD3$Gr6*kN^#1orsw~`!;s=4ZsI?sj^NTqe8`_@HxYrt8QYx^7!94o8tV1(zQHZyhP zZj?HW9Ye@Jl^;@fY0800V;4>ONoO13@0OPt4?W!}2Q}h8@=*)qI!xI|=$uUsk8YG$l}s~3d*qQ}gw zsX-HlNo?5`Nx^ zT8-Bg;yJz+6tW4ft8x{6jL)@ln6F>M5sx(v$ya}e7VXdC7iAEb%&l*x&E}*t(`3hSsAvge__sx??PP>3#pAEtqk#fTRUAHpJt7X@ ze={55X0qRO$~`2Ku&0;z{52oFP=-8nPl>PFqlV5bRtIWUKMKnx`@ViEcR6-3oMo*f zteDkZx2H0mygY4mRl{zVK5{@M$VgAzi27rp?KN>t&s(3LzaPxWnGZ_tn7UtEednzd z14r?-)OZ>7J6}SB9`yIWt0A;ZR7vosyw8m%jCpT*k}PHn37xbu;>Doi&^+T2?z^s$F&q5*y38fPE8e3l-Tu1A!%BD z*Fjlnr3>e!_4>|z&=GE^TKg;U&YZO!_kT0T@#)o^>+<)m+4NPxtlpZ-HtLE~Wqx?Z zR=p2e(X9Tq<^sa?_Zk=fe*U;uz<wm|2h5KZT^G3R!I-sxi?rBTJP)Q*$~zH<;At87axxUn@dVbm2d8D zumLXm?dW(nRq$q}=8xw;EMItEcR1@Mw;}Z9uP2)|`b#r{LY-Aa}b)N8Vtp58>!b*pwDkESs+xk9We?xGhsg^}$xXaoLT}N#N zm6UcLULYGNxbn~K$9ps1c2`T4`80-aR-AEb&5q}epyUiZ)%{1(JmA4u5HN9W;syBf z)f4A{gLDu@E-oqQ75=cbsJj=q798Jhux1foK)6%K@}N7yN{f<~0CzlnR{{A63|{a} zI}Y4?0RcB9*$^vS-|#deR=Ae6Il@d;QnCg*7N!NCOC%6WaW@(BAQsY&T7xJ0Py+2g Yvtrt>BRYYzEg68o)78&qol`;+0INBQ9RL6T literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/gradient_vs_subgradient.png b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/gradient_vs_subgradient.png new file mode 100644 index 0000000000000000000000000000000000000000..7d7244495b413ab4bcef81673ee64f2f15f08f21 GIT binary patch literal 63088 zcmeFZRX~+n)GoXbF_198q7+d|knR#iShS?HBHgkGX$(>UU37OhNSBI&bazQNNSDAr zUfkb*?$0@w$BVtu#d_ZvBc3tl^GqLkS#kWE_$U;L5H0ao0fjm}gF>C6J$DBFMIcNC z2mW^&BZ^i!2Y;N;>3PH7Z`g=Evr)7(u(5w(t&cLaur$|a!o0NB*SEkJS=y}P)(D|c zw@~QE50zd=EsfZ}CRLuOTeI)HBJt+prYhJZj@OLG+a zY{+@;)hOMt6k}xg@JGaFJ+A^8G4iv+W0tf3e(ZODPW11mJe+Uj|9*Oo`!*weR_us#niNFKDa`L?X6Za&5GF!XKG5tlYC;qu}@+}dZ zJ!Kd}!Tq^JUq8R13LiYX5!=2776O@QzMjEihYf=pp0{gRZ2tUyNT#7$9nEJe`Lga~ zhnD?Fvg6i5!`PV4rAwDgdb7e~oYxz452Bbfiklse6%`dfOp_;%j8-{i_x&yzb1f{c zIX*gIBY0F~+E<)!i$eVlcndRg7v;gse2j6JxzUrUDtEkFFT8oUGiF-vPa!EQ+Z+GL z>x=GBe3@7wt>wX@F7uL+6q!h_fsrZUAoU^>DB8f(K_*|j=V%&A_a3l6uslsl#yT;8;tJLb-%FOpC751wkH8nMV4-akU+HY4x z!aCu9Ygz%zkyjxXcr72zZ{J((azKOTH0f@CM=X?fl}VkBgF}f{E~Xp)eRDcg#{}N8 zzv_0J$*fgwG~F0%(w+9XCHn#Sg9i`99zT}A3J40CTeRq>r>DbMo*EdWjL6WdP`Ulh z*LL00NBdLy-4XX!Dl}*zxpXQ13a#wi&X`*t4EKwE)76%6c5zzSsCGHwLz-F^GmAYc z9T5?CYHDhdt5*%|74N4QGu*xV(~$s$Y9vBz0sr^reAhyMej*VCAAEtsdDp7yaC<1@ zS-!6SOC7gETjYU{JPA6&*$r(DmP<^Bip}u}35(*V`%=IT`0SR#Mq21X{V4@AYW_|? zz$W=q@S8MX@2+obG}$#%*bm1)O?)!{^O{cg?%E{jl`DzHT`9)9f5z=N$~13qnT2^0 zk{Q^uqflR|PCrt^LD9Jz#=7+0q~0Ddj5TfyqGx`@i-xT~JlN?QF2meK*9TDb!EdPi z#zYIdjV>H2Q0nRF(ed&QtQZ8{%+Jr4l#&XZ3TsJ3bie$$Rk#-ANnktU$e7 z*af?~WFhJ!DI-%PbOA9WAH*|fQ~XjjS36sr(&2GOM+ZI;kxDRwvdu;d zx9Jb>OM~DZG0Qx!Cf+~syP3>qyYQ>6O%9BHVW2QoCF|K|)9^9Z1E#T`RCddQ$=}|c z&4mBM!YS(MC6(JPXYgWX=mZ5v^uuXmUWFEzRf0IyASr*Z=vn$TF#rAn$ zx&x+~vb{WHm^s8D(-Ow|sLE+aWwOqX^y0<1o17+ee0=IJ>-}5Sc*_SL)cj3=K#>XY z1X;Ii^&-T8O-sue6;owf?AN?Z%eZcGTbNZ5udS_>?~FQ;l915o=;(O7f1jqDsp7a= zwNrp+dzP3o=*9K&`IN{k^CFWT?2GG;hg*Fc&MPQXTo4NmN+d?xVVYDCJ3l`DVr8VF z&wOjts+KT?hW*~XI&xm?B>IMZ`>9`-x;SLmnV4G0`E1gRuRke1R6W}G^M?h3ms9BM zvm%pVwQP0H&}o8N7Fy}B=TDwIiNH1o2p{z`l$iE0FP7q-C7Mdx36v9J#XWV(+PsUY zWLTF{*i}Hhte(nkI7m-ut6R~a#A3vniR#j&&)Lq4z1c0leo1uI*475;sbnZMeEj&4 z!)a$FdUY`>D$4B4nKSVG&v(RU9EX$8fmwYUf5vN5j3W$GR6+(IglP`ZH!O7|dW8oE z2V3&vn@s%hQ5o5oX{nfT?9J9N?7=K_r)vgaC<~u|J7uaNEiGNVTvpZR>gqZJfkv}8 zGA72t|2pe;eO`!J8;JozY>VCLFST%G!L;)I`R!Mt1`7107H7#UO26@~z^e_sh$z;b zEx&*N-t2O)U1l~m)etB{MMV`l&7hR_TsBr{WZ$7LM@yv)S&|^V-VEg?{i;4ka}Ja4 zUqO1V`}3&=em6O-na04S*xA{;90{rK+-dpq=Z{&REV#?wO2z8Tehe z@mpt|<>fzxfByVA`v`U=49r;N;`&ly+sSud>gqOM({b+DTw7x$tYxXHti&g6hE&)z z*q5Qqh}m8mn5pw4Yk_Fpf!GFV45wLtyR?*4lS=Q6X5}2s0T`8WSDj|LO}fMWrZHx= zHF~B!{!w;0SYgy8=Lc_Zmb(yZTkm(9jzHE?#Hv*}ZfQRH!eu@fhHW0QtQi^Pdhz{q zrr^6Xglx!Q%!i7@r9zoGowgSAmm`H-9ODNALt7%bHFD!)V`KLwK0KJY$vpj2>zgLb z3Nc~Cl4cUbJ~Zn$g@otU9F?o(>xwOgLH3(Y+nG;|E#4+3<7(FYV)VJppyeh85~PaN zG(i;R!ps@Mn|h884&iNrJ5gnjUN>Oiy{~qLF#+@qo12>)v5<{7YK{+c%UllZFg+Q{ zGg1$#^gJx=$6W0Fi(yP{eB$u0Es)iRG^-qo_8DOvFS ztLx#u8qP%UOk1pFa5T#c(PEd@=d##=bVXWrPEJnoJ^qzaaI;aHE*ai!EmM}AT4Ld6 zvsx8)=KhCZ*ae~q1BHefL(wlr;De|{X-L@vrLSHpVh2*?VnvH+g<+W;{bLlsgxO-9 z*U=lWk1gy*7;9A)!|R^BZbyH~r;9B{Ogue2z)THVBJ>ZODFq$7H#aue?}j6ZOslx% z#<^M2W;9zUvsOf+v#xH!ma88HfA92$<6?G+bVEnQx}>qOv5H((x$UCCg@Y(SG?Cea zc;{z)9nE>(@uFv%9@Io7E|pWc73LsGS%ylGcttm3&Cn@q3qq=*9c6& zZq6kJWI*KQZM2*36aznR+2So*2a{qD64L(m?OTL^LxF&RwQKMkBtVGSchUR%i@BKW z#pRN*kbnR=|7Eb05*oFQhO$Qx>PRkMrfy)J9qy^#n;{ENNr#PFs6JRJEM6U}(ZMP~ zA|lrp5D?&iEDW|K2S)QsL*uS-a~SJ>o7+($WWE;1u@dv46k?%W5x___5PiD87%K{b z#SZ4b^wMZ^DS}l_Gi;0DE#`(mvp;+U;{kveTx8jqghs&E>(`|*F53g-`iY5&TVHXB zr<_(QR?4Md>s#^<|L$$v6ml*_)=^QhlSmaoI{7~m-^$gvhJfh)1D?;3+}uO5L8Jk zwivBc!`@*bAR=nrDg{6$iRH2wPV4UOCO>%e=#gy`Q%UK4vYR*6)3`|A2LuF=dY9tQ zRPQe^q7`7kkY=Bo=jzl{)6_4d#ky>(`OjXapvV?-*`M1Uvb1-KTrHcWWYVeD1gPCr z>9Dcc|1uyQ;wzS>i=zk-s7w^kQ$jK>r5e{m-{lQno4Iz)9lz_WqT1Tp*dX&uSRL0r zF{};1kun0EyXkVVLVGa>t^BJtWf12UBG~kOVTKcI&zhQ>yWiqn&ll}#e9e>Q@pRoZgrFiy}rI~ zJuuYNa6^E!8^90^no%{U8KW#|C=nDMo(@Ky4w!CWd$uQKV!izlvGGiE_&yXMMeqy& z{t{T2_wAoQf1(xqM^!Cr4vYD0=Hh<*cuYvnBafhWq^QWz;vWI$U1*Pg2iyIjXk>hR ze4#5ffK=};4UN&>`gDY_TQ!8F+@K(mmS}!es34lR*q@O=qH3{4V0}VD!WYXiq2+dxkN<8&up7$y zJ7y@QC%~eatPGbiw=wdHQWyr@Q+@mPEeSb!*2Zkx?7)-MMDYMgEVE{5+=Xk*Bx%yt z*4F;!Wn1SMWWjxuq3*GrX};mIGh(m8GD}{kUT7eb$sMQ&3Hl2lBEK8#Pv9|qdmFPw zHuDNhTIEXE#Is$$KHu3|Z+g(w*H`j5M*P{cFw*X2hz8){afppWN}Knha&52L8C~q% zfXKzvb_j`lu*5Q!Gl&oT5n4I8N5Mc4!T^xnWnTo0Y3E=0G z0m3tMvz1&qL_cz_l9C34zbb{~5~5JgsXPl#p*{t)M)ONqH!Bx8@2!glk3fx4T|d=p zO3TC~gH(StM_Uh)lauF1omP9qsay~%ixzNDIDh{9{@;x@tq@zHRepzcz2d#1oRHw) z}(VtB&H8mJ;^NStPX!R3=L@@af@ai@timo;!i;G>4xG%@4DwzX3ezKnqzIm3nID9vtk~r?vPkp6M0F=$@PIjSqs)f zDYUWNVSjfvukPJh;;W_7#)yldv0%bUPzoB7)$RYf6ELOL3+q!dVi&3Hw9JVZ2vTC_ zy{M%@f4KIb7t)~baCKua<6>&8D}#~?(moK1#am9Fp3*#h`vHQ>a}E>~6|={?RXwG- zM_(rt1Iha zP(D=*kH$U3HC-tT5Zb5f!!$?n7RsAj6CESS3k)oD@fEm6Ec6+AAR3GI=nV7Oub6p6 zfK!yH)R{pY?msF83#b5%fbJ}{LbD5GJa~9`#*nyr+wjhptxqm4W=2|+qp=(g>rZ4RK;v7 zRbGX7As#?k)~XyjRMe4#zJm4-{(#XC5MyxbgO*3$S){du_Xps&I!3nY&-V*R0E5sw zzuy1xBSF^ zx6yL6l2;>7=_2Ivr+^fLAx48qEOaJI@%rx_9js=HosSai9%jlNFLPMi-0a3B7P!^G z8r5@yNULh@-PD{9(snW*{DOuolial5o19H7!~?RC+8)ZmGD@e- zxu>Q*-FbO=X1P1T8-+~Tl|14DFv591?$KW*f=KxJ?r{NQHU?k;;1nZzp(itxv<}^g zX%nP{;stRtFlAT&0x~YMUt63^=VmcY%SDj$J|QN#ILnyp2RWy0p=0O!g$Jcs(Ehps ziA*_uP^tGMoDiS1VB(;apq}^q4dGKW2iu_mOCHS>TwP+Q!h$K35^m9WozpKC_oYcjAlYcRtH1kB<@?EZh|6D zKbVT$;G?s%a}XAb0EjsNBMQ>eAA7UZ5?@W$L5Q#`f4!z#9r#;^o`t0yU*PHk?JT63 z16`PX04=1DO=e@9TGa)=zzUVak2&*Yvvqr#p-dVnuu_W?KR?V&@9P(6%kqpetvQW}10^YdG>-d7#NgC~sO0gIz&wy#f z*S0|n@6XtQ%2x@>oXyQHIa5e8Pz1()fqK+sy@B>7o1V8t<=PVp9xD+@Rr@ z3~F1NZiidFr!Iie_Clp6EEwr>3TALn{sK|7Rma!=eKW zFt@anhe`d5#GNM}+kbz1M|$~k0-)Qgr80KfWU8${OJJ6FX=y76&OrBpUhfpj{S?2| zZ+8cHcLa9*uWF5}3sPP|JwMYWCu}as2Az}G>>Q-p4$||d5*F&)5M29lr7R{<_owd+ zfVAehIV00Zs0X2}eG#nl|92yxf*o^QWGaN9l|r)td9Sz;`lU^LD^ODn3Q8sS%LxE5T=+2?K5Be)?#FPSa>%0XO-+nrZR$!& zL3?0t6R`?3b{{v_CnouDMQ$MRZd+beFU3D)v=VWhpQaa0Y}D!8%)1>i=~k zVl{KK!@{n!v$1ss>8-#zFzl?=Q)#Ro^!Qr;*NLd!9yDc+Erf-K+E)f`kgHu~UD=C+ zgEPF1EkP%5>j1&mQ-)94y>wUx=ObCfTyzXpRc$`Id{j+?O1c@ z()H_UZNkTz7p~rKM-CDoKR4Fbi$8t(6bT4iX8mzUZFGMTQXj-kBZ#*Pqg556qM{^} zlsOO*=RPGh-H6m!CfN_Z1i8DP@xBeaZ65459T8G6Vc27~F|rN4Vu43-O8$aW6R(Cmh+FTA(E z&p=P#pq_OazAg}tSe6Jc@(M`OS54_?(U_U$r_cl;AtePENfKHw9nL0(?atQV7KPrv zyaiI>qrPUZRPAWvojJ1r$;@$g+^fibRU7S3`e+AI1%lvV2J4%fl_}%hFf=z30)0Fb z%6$j{RM0Wa?RnV>1{fY5E-5D$I`xdgcJPbwO@Y^W(Je5jJkpb+C0{XT=gNDsQE9=9 zswNQAGvwpn-sCb%yC)NYlxxc1t4kKt@YL-8b=Jg!%m(@Mzk4Wk^5y@Vr(FNat0*n zlqk9n|G8Dj&kqmgK8q6>E%xdqC+X4O{b}Pc{Qi7>5ysG0+pS9dbL&pG;`sVz5S$@d zeO|zEFYta&lsC|kIKR+mSwl@-Oh;!F7{Xljd%e`!scxk{pMgK)UP{>!C1;3p6p}U$4_7(A zINBx%?M*4cAd$mCMbWn}C5%ff9%iWbG)=Qk)>ElUN`}C>SB3@eY~BlHl8e9N`*egC zLiSN{S#Wl3X0vHj-kU9jrD=&$lk)N5UW{>iiy`NB+P?Aghi3a?u4-sW$^yrt>lMg<1RGy;&NxWwnE}Xa2*Mh~;Lx;m!F}fa=LOxD19vt}B`; zCf)tiwf%9kvBDGUd*7lul(m6g7|8m&-diHJSfHyY%q4`qON$2}pm9I=*i7Znw_i|)zbb+u@}bwF;d zxhUs@b8{npBhK>-F+I0mA+YuS@NV549@JG>(lu zg8shj{JgX`L7X$P_@5$78ddrs>1{%p(TU>P0hIpyQLu8o z(Q?oxLb*L}3e^cR=9^(^ZK+s&vQWP0{Kdto0Q@72#&~_|bhdhM+Aj$zmp|WZ%R>D8 z?Yb+>Ze$joqN760X?OR!dJRCc-3doi4b5R0g_whtp-~E+u7hpeQ;pW1xZ@(dgsR*oP{Ia)#`!w{2eDJ=2*|3?51SCeiO4KR=p%= z&blTyHy&nuS5EFxS88m5KNaV~C)wCmd6<6u>73mIr!@2xx4X24u){xejfLT*N6-8z zF!%fAlYLcV>PKFQfASzMW+((}bsnu1Z`+;MXm;*42PkcV_PJ@Dxf1 zy&5dGfaK~-aT)3ZR#fM(}8VDlo$L<7S8Ou|qV?e0GVyX;+F=S%{!R zCo4A5(H1%x)3`8xU*+tDT~X{9MZ>pu#B)mn(p$?KYGbY%;-0rb298?`|ut}p;jOm7L7xneRZgR}Uv9W0q8;^XU-#czo z%)hQqj7la(Uel8{ey(}F{0^_aQ?^RnZ z8vP6uqgseDCf!B{oWa155*g@BSBw)7Bs~0!!E!D)2G@P$&0x~NYUO&yC-Ong{d`!iiGJDGm@IP;w`C8({tlR06_52|z z!dACr62+++id+rh09(9sXo$6&OHgnX?F`27r~V?zRC)*#ZctcQviVR!Zoy5m$h49% zyVDk3DLu`sa@Jc5qY*5(6|kE#k@a6}O|6R$>FL!5zszGHO!rheh_C{4g--C?jJraX z)V2C((b?!)MqZV2zPO~M`&$d730{=tmH4L5<5E+keXuk#F;Q{Bj2I&0s@JTFLnX8t zIypIDWk^bGvmfjEY+T&lpWmakvN|Tbc^tqWY3?*sOd1?MAeu5DYCn2os$eNGKm~qF z-oymMX|WV*J_ZpxIL0DFr>1dzlVkXgG*rBI!f++?H7p5(N=o8w7qNQU!7jidI{&lo zUWUS5Ihh#p;6xzAoz1iyYh;r#{`Kiyxefinr`}k%>ZGju^Sv63jZKS#)w?I;vmiLu z!lc3Sb3&>v>E$==y>Y{H6EeVv`U6yu0Yq!R2(GPAW4;xJ@^VI~P`wULBhVc4D$ChPUgx*Hy#-OqZ z?HA=Qu#dVguZ$?n&Uf8V|1wv(QhG;XYw_TJQoOsu$^*Ao!>oV*Vs=J8OUrR{T8`d; zR619EAevJ~Nkt{j5*qRZA>PTy2pl_?!d7vafDt4w5t&jx-w7-y9xJMP`b%R~j^!L|xYA@@~X-drH zS|EMFAG-VHB`E#J&%#2B&5Y%z9N{$5k^4*CZJMd|+)sd*X!gppEs$SC9nC>v`W?~n z@`T*zZVCzGcZA1#O`@6BXfQ!jJZnApzz@kPvmp^$(q<%!vLRuB4#SnF zfjt078=a8g3|S{^Ck*cvDu@$#0nPnp4Xn+$Xi8_7Or!?#OY3PeWLMo$@?0nHTIiwp z7G*3c9*{CLd=r_uct;26T{IaN4LxJiOdU$(HY^<-_9ka#cKzDg37eG8AzK|!0*eil zF(1I1VN6kRzme5JZ!HM*PVT-|L12hTLxnZYxtVZW`H++EHwFt%FPlr~(lNq2mM%eb zjI>w}r1|;t?jXFDjt5zN;FbE1XZ@RrRzf00)eHho?j!TlYaP#OW<@Bk6+B*rEB&7n zru0;hIUo;bn>}^$zi&ke&Vc#bF3xeDjWYv`DzDd*$^Vvj=45rWA~@DcW`qoQ7~Kni zTPpGylFRi*$KR-bTSshZ`KV<0@-4LQ2e7dJ9&H#)()m zQqjQnLy#3}#k(~z*%kch(+gOQTW-j@H<#_c`*G?bd?zoUus(_=TP@J&r4%aeIkHr0 zEfJwk%|GkAPPTHp^vF>M50Ce#SwDssr4KY-cj}F8E|SX=^gi*3wdJWEY`?*V84`&M z08RHRQ`7|!mLQ};v$JkxFR{={C@3(qAV5vQ>6E)hH%zLvQC@NHYUE5%BRVC`NCiw*s6x|36u2gKK+!dRoRZ+@#9)98A zG@iqPCzX$s$w!tL`VfWcO(G zFXuj$l-%}l0C%x~RUNJyFtymR08c@lTv-P^P*D6If4+aeS&GwiUqTnzf-A@tm<)1!b^N=S8){~T?4i}P z00zD(Nd*J6u-#}mTHie$yB~=J0I*(dh(}zOvMP>zclc02%qOoH8j^o^2AnaHoA$r3 zU=O=BKcB*7F;&Ov-syo%o6~gWdaL9~yzI{w`+zcid=?ob7xIMG8_nh;|9#d3rK2C& zfz-+P0M(&NFlR7mwAx@5f6q)Wj4!V8#Cnh>V+lq!j}aZo%^ro=_qMgG@JJ!8@-=2X z#Q#b^BCo|e{d#VH(S?S!4e2Z{%`UOhqD}icO^HP20sqH6g8)&$b`oZKM@U zzaRB2iso>iu?oo>&mTazIe-4fV2yAKjNTp4u)FS4=xThgt)hXrX{CDkWaLEp!AKO^ zM52&cRMpJ0J;YV)K78C%c@{QV_exVUp(Ps!br$yIC)6<6YPHvpRzZKR7T7=P-*~xN zpRaVM6Ho~J5}<_7z)oVy{Ky{si_GpwBuQkv=KicAMEfM`soH$G6DB3gRph{aAqXdr z3KUR`T z+ejG9;Y%+YH4 zw+xFjk+@Sx#^7N@9l-GD>?rskOE{jGti?$l#lgb(`ynKWaaal+&2 zR>8gU!3ru)zG^ z0RJylww9sZL+GwW#`y@w`PgP@?%YfWQ{qWid&%~2s~R8Q`Y&&@00y-Lnhf}bx!+-i zE4yn1%Y(tXkPQH6j22n0o>e8CAEHPVmaVIPb)J&AlILlz&hnPJlWL7qTUAi30D*bXVA00vm>O z$f4Z!Ldet{?5?s|Dq?W!CtH0tTgR;d{Dm$6HcbKxG{_7%S26`&ta_QXetvYSM#(L- zg05}|n9*%W9H>0G4_A@a1`TTzsXJ6c@Fh=Ts+>M;CmA?A?g1{Lw%M%lNcmd^C9A&+ zYSmGYBoOKjWO12@U8#S-j?jG_3OV;_pl2v2KJoM2BG=aT1d?ZmsYSzOh|v%XsvtbO zN5k`jcxJ77domv^{N0oOZ~L3eP(P|&jLWUwtfrtOuOge%S5@&6$GchDxFccXKX(ZK zm)~oxR8V&jYxnu!yZ*Gwu^O9%hcpghP_Y1Z6y-ln%AL5KF>K&^kzT{)lD>iL$i%*3 zXfo+XSmYuuPR9a+C`I7V$)j>WuaTr-Q6^?T>W~`3thLZvzFOXNsX1CWw&Bx>H#gpB z{#mzPMIzDwyYVR#C_`GMzn}5i0v+EX`=EH}6zRp^yQFZQ&Rf!p^sGpLdRt+2TgquC z1qrFs=V4L;E=PN_pzjITgmo$_(x#$%WIsCpEP6}$_{Bd1Ni`qx{TDOP$lytUDF~$V zt5PF7!&j)$gJtYu2Ro^xO^7kM|9uaghVsSA6U2Z8p5s?8=)E?vkO#Q!z5ydew$|oL zVjmcyI~IKAE0=P{YkIK2*s~ia-Yp9W$#rk~f6S~BBIxr>N}TVq5SRIaPf9-W zH-Lga1!zqqWz`3(_5_AnrJsOX2X6R^$nY-2k$;cA@SrkIRog)fj%$@byz+SwjvFPh zK#XA{xq^xRwS{b6-*>RD)@b^2tJ__OYY@YrGy{R7^a$8T7U_$<8o0`31*tT~E5qy- z=~v(zboUJdc+u)LM_4~59C>XRQ(kmxYIljHKDrYar^@O#o4UZLz(+H) zgcf)eCA`Wi@{t$OJaFzRQVKk8Z!KP9K<{r46-vssS{ru3@4KIRbp`{OkZX${GLkCGAu4!tj_vF!Q+3R#E5xV||Z^KL~Gfd;+-@u*Sk(9s~a> z9XKfrjG0pwbqKl01P&v8qH{TTL5BovNFa&`4~&p#z`CXZsb(K&N$Y~!jd-_^dZ-j4 zzSRfd-_SF)yb^ykR_)TKB;FK))_QA9D<{9fYKL`;n(6M)2@}-?8OzR(KYHnIbnh zjXP-^oSaOd5sI+SzSq`fyYSmBwZ|U+HFSYPTsZkw@hL`VKEA%boxrHqNSG}eLeBq_ zl4$&>ghy9W`ZGWevOjiwlnNrTDJQc?E`Mzd0G)p;0aAheG!Vs!Wz}A4PEHPo9mA{` zT?JEm2!!Y!IAQKiks<2=FBlT);@Co{-5@hq7^|saTK?egUp-^Y-Ix&Tx{n6_Stn?+ z?gTECiW;7qYPJ|>7w*DF&ii75n^q@_hkMmm*nK06iD*D9G0V+ zaAsWmofx!dm>Fr)z)L)c_~d+<&*yW zz$KiRn7|*YgY$Wy0mZdX597VxN|MS&<8s%jRcLNdf!4@Pt6JHL4>> zI|_6mc=tW&F!{L+UMGvIQ-}7g?4eO+z!aPkjlF=v2kbAB-c?ic(zZ9&wLI>_wKB2u zC=oSQP-NLIbORv|_>@4C?uh8RPfw4|tz7qY+?mvtH9#Y-`+$$^?kPj?=-aS>`#~mS}{UYCH3BGG#6} zw`A%W$0G&*uQ_SfrcJ6Fzzo2gk=PzmxEl4f40h>%eD z8o^Yy``c9lQCpe00CHi{Yg2)840Lo7*v*ofLzy;#jgJ|sxy)#U=q($~7tBP1C4b>F zb#5i<2-p~lK<`zt!szoTc7LJ+>KGQpqu)eBTN)cX;~u`tF<$cqdxry*282{dL?x7U zS1QB^m~f6;J*r#4S*7RXR0dMleVeMXGMjlU!bm{a`as0VE3R;?x+{KtW?^d-$j}I@ z8YE_!K=H6J)v+-52?*%p9&?^7U;;)(NB+xt=&s4pv9RQ|&$1IBK^M<)_1#+m<=mK; zBtUs|pFkkpGoWZKf}FE>MWKI}Ey=4}v~@ihF~5)?jF5axxL0 zltIs_%58t17U8(d3GF2%ExqUmF&NOgrng6}v5PxLpxjb;^29Ud^@NX^IjfA~YUPGM z5Pq}luBred6#Pf^_l^)!wj!yq5=o7jKzla^P0&p~8>9F}!FBIR=K028pTU}%KRQvs zR%_q~x#Ps-WZ_mjHVIsN0mNVBK!U^sz1se0?a2-#qduS@ae__{m|N)1X{#9!$;vxA zI{JV51$w_2K@H&ECX?{CV~d-IO)f& z2Vy%Hgvtc=NKpH0tsKZS^9Zg3#-uVxn;;TNA%6e!!?g{;*`FH^G!n@T9Mn*=( zEK3j$6hU19LNhvasLm>oVNHR{U%odJ*#p8uQNh`_rTbNKpeY7AVRx~)hV4>6tA+-` zV+3%ph_G9LfK$+e0rnr{DhY&043f4uU~$fk*pCGpM-2G$yZ$Ye?z;cSX_dScc!mYo zz;JCmku{_M%(Bqhgi)s7}cE! zM6Wotyo?~M#=bt*AQmupA0M9xKHH3&z_xK(t>V_8sP!a7G8YLjrGSR14GOky$Q9in zl_0;}3rw)-@$q<2`-lqH00$B1Wh5D93JO?+CI*Buga*pHotl(H2T-4T*yFm(z+1^V7&`@NwtfU>D)>%gX)p+_6mQ_!oo4` z?jjqW-ml9SNja26aK+t4XP$fCQH^jevbOBhENkTGwx$V*h=_Rig{|eylV|?YdZpq- z!{;P?am&8yM~_kcU1?dY3Z3p@+;tS96r!{en#BmMw#~l7w`}FLG@Y865k21v-pAUg zgwpFgt^%o=vllNZ2ffL`y_K+F4#4^~nBzqf5~cW!tgOwB!c++Q=x8I9^@TZ5eq`27gBC^K2Aeq7u$rtGE@4vpcxA&<* z?^(4o@9^+2Nn0)lWbQhk69x~)++UCP_wc|YARr*|DT7Rw02Duvfzg8WlQ3>-Bv!!T z^1;q({ioZHl&}fFgM1eqO+iG?6DLvX;pGJ)S6sl$KY*r5>H?xDRNS!B9taV?w#&bL zd+N>m)AXlKNghYsrp_R^H{(55mT9CQYw_!%#^1jixWiQ%-Xj%M2~PHz1#%#Sr;h&I z7G~O!;Gu8;+LH0PxwL+%Wwac#p=Q1=9xMlo>)+QXd77Cd1$vN}j!#S^uxXe<3;|B| zXUV7MLGOxcBo)4L<;ts_6|GH(0nJW8oKK-9av%U!Ck4c|vzC^YVihqllpsCMdKCo~ zGcF4B&Y9b;>u`I)r_Z0?IBd*3%q6d(2&UC%6s7(g2dUwcWHL}agsqPLI^5SRy$HHr zN%k3tP6S{Q2pe$zFOYAecrj-n3rQCKhV}mq0YGA<0kqhUV0SI6_YBG=*g1mY^raMk z)Jv(M-g?JGTDJ-NeE3j{;O#F@=K}%wo&n`pHl7Nlg@uK$3#~hLLFTg0X&9pNg8jsg z^SgU{-@3a=5WJM&0@1+A-rmc{=RC-2cfL>bhJ61nnv{|<0lE&!Wk4gJBxrbm6PsKI z3TF4m)DJ=H*XSY(Q0(?+2_?zQMNvmbKHz&NF0x2mc>DJL?}c_uv!y9Wo1Sf%wTX;^Vk!})-!_!)hf zs-`9Zpj22VdHt&zW@h(kF8g%4T7hsMv1p8Io}cx&@})24kSK2yu8NJATb>7gpiiNINb_TBvCozQU+|94Y0!8R6&fVJXp0e-kYbdlS@8Duo}0D?(@#oD zN^1^!aR2^kc{?nWh+5$JyPyyx1u}Iw3>fsD50k&Afg1>c@;{grgky4`z$ODlkIH>k zQqkuy7o*`)R;b_<#}A|=B)}5rci1G#faxtl{Tcaq7ceQQ6e|dnE|HUe^dhDb1)8z( zfFVp~ZErR<^Wzo(Amok^#6Kiu&V=lQ=W3J?K~bX|5o~B?_7O7NFFm%$Po8}L^(#$u zN8@R4Z!Zr7Mg;{07RODapF&RS_BGHLfEx#NLHoooTWs1#1pI78lcuJoS|p2luup-a z0ykXR6O31tPRK!bWv0a$V#+ywerCQq)XNO8{%`}yBZgpIDAoGE7zYjt!G8Pza_^U$ znqqjTPv5$C@5wy(^MQc@C=;Im&btUrl3l+xj|^^EORH{t+b2GE7 z&Dg0fL<|)&;rbc+ntq=?T}&RZ6cZCe#VL)aeX%pAliOQgr@Mdu@xzA?J=!q#_Tq3- zjw$1&HV2IKjac}vyn!$+?W6bagPd_I4G1#}FJHP;mBm5oijur6X1{83 ze1Cu6*Uo{uwXqQ&x;fpiU1ep7V8Pyi<2;A;+XYQPKFExcv+V#V;@aEW|HO9tN=i#B zsbAH&#Hf-b^7!#-GjsEN5W&L&J%`&+&Jh!PT|9;0TBlJ+?d?GAhRT;bfJ*oY-`Rj2v{;-NW&kXpi}${ zC9C8iB$GQRZ;@s_*fY73Qq$Yy{(Y`}!*Qi~z+QbC}z+W&MvIC+~w6mJgs-AK0p3A-K!q>SdqD(+4lL z$b_6r2UmwY==Mf?;gN`>7o;=UqLVRj^%Cl$@Zn})v8W5ZzMSRwkEsFO{{W?M z_cpYdlFtzlY2lXW?s@&q$ zE}t?0Umbw?aYT6d_b*N6>OGrv8d}MdpHUn(% z7}DcoC`8^vLlE@to`XM<1XxS#mepSv8PP#Y;MV^3vPOFTlusG-=NK=GK}qliQcOPT z*3$B_7}U8JMZMu-j;HUvyuhRYOu-99$%UMsor@P@wO{C_e_?D)kMai9!ilW_db!}@ z;({aM42m${>h&K{AeJ|R3#(Yz*e=6WDBnj$v?ORQ-?w8F?8yu0>j*bjPxte7PpMOV!F10fsp!0c@uc0g{X0ey)g^39RCm*|ehuZOK z^1Ye&7bh}vt1qK|AZpX)9UEO{xYY-B5foC?!ooTo)lNGWVxn315lthFZA=uC9jNJF zym)aN6%-M6MbsOhKt?pLE!-@IBO)Eafle1>Wqk@;0od|(j%Hbc5nMh{ZZ!BM9Tmqh zBohrooHS9Vxf<-3HUWL_(4zfog0pbVOA7^W_VdF{{-FIjCD#?>~#{ z-s#VODJmx?_u9dMeh~TI_m&nJ&5CUu>M1~z@-(~9d?Z; zu@+`S(^pc5ECLCn*P#xlv6|9}MC6VpB}GM~%*@RC{*1JN4X07T7%0&^03!m6&QBB6 zo9$g)S3pcQU414U%Bq?l5Nn%8+&Ys;aLBK4nvh>3rX&%n{{^vDVyLsL%LCl1AEfQQ zb(PM01yCwnMJ|ph8iU5uV@Tm*u(P0m)mF{Xyo5rccYl>r$*L#1lQA?0IIeaKafv9ycbCC&!kpx z8m@i_gS&XrC*l48<=4a?R2u>hT!WyzEq?Ze4%flq)YGTo*ZF&oc*UN8iw@5G{_PI! zP=MKjlB6QBKcOIhDlhL2*PXqD-UUOwi?cIeppT%EyT!_y-#vlfCIx*SR=D}3IaZho z3|f(I8w}RR#sMDVUhCSeu!XJ0C?@t!C=c3G-|)KyT3mHpwri7IO7A< z_LBhqy&k~XEYF-9* z2inToT0!FsWL#nc0|O+y^QJIAG56ofIt~Xdvre+iy+C9gN^KWI21PIV`}>;&8h{=g z*+DCKqF-O&SZK=I+hF_Netu#A<;OhO?;iONtS^BhS?=E_hS$WT$4B}B@slCeaYGDk^CA{inxA>y~Lp1qI# z{pa@{$3EWuJa2N}pU-uj!&>WHr^Un1L#@Ao94IU=2yR^bZO1M2R<(m0xl&giblJl< z<-ay%N_7B7dVVn&aK&9aSC1{IOe9O%E6r0G6stYs<5t59{dUgI4BTsAvoZm~ay3PHY2pBd|J!{3;NSt= zDHzHi&mUiCGIMj2g2~R+2tl3im|_+Z5wWoulgCHcBA|VE|G|UY(Gq`S&@kXXKHPqO zjT3$08(pVPN~~MAW<7&elHYzceM{uplA%B`ZQ3ZFF>WRM@Bkx^dX>ZMk{t7KVdw#+=Hw=a15q zI@QQV&J)JsIqbQWN8!2P_$5C--)*pYJ94pu;#@(8|GKHu(8jE+q!4=_~z=I``yRAQ#0Nbv-IZ_U1&TtkcpmGHQUj-l4mr z#51YvtIK{0&W~GGmIX;fq?S;8?GD}U7y>RvI@jxR$5ek%YAP=t=hB;6pDj3&m<5L$ zhm!tXcl7-1?Cg#$T3T9_sOI%MJ95luDQOaiq6J6Exb^ROFlIeNL&5&b3y(j1!puEg z@=1+f?=?Qzi~pJ6^WH3k$f%dWj0(eOoAmD82Q4i*32cZATCnKz>B|>e@Y|oB+0g^( zrwdWj8*q2lJBM-;#(Jw@@~12OaO$CM>aP=L#I7*zJNfWWo&`BCJkCCS49DO4?`i4J zM&W5EFaYbop0P2@-Yeqb;v^x689&*VkC|fdgV~Z~s`|x#;;PJl@O?mwMk&-(-_oMTva%>PNkgfKG%U@dyk;#cAhfSLtu043L#?q4i3oAe0PN_p`ovBh%f>D~JlgBxKU6I`QJx2t*e=lkS zsCSBsi+9M#Fr!3Hw<=dgVIBk;=*|20`5&Zw=EiQpIgJ(I!~x*_JqUOJ%8=(%aK466 z90m4?XrW6dSIhjxIR-?H>xe(dfxW}Sq0kGgXWz93Gul4Awi&!SOSl8p?~?bEYO(VY zPUFPf+#$de+qQ2fz(n=05_o33>F59mz>J!__`+n$_m?QncF4=KABmUQ54VQi{{BEx zcp)3l!>vi{>)s6%xc|@y3JNx2^kKt>4MUv;qQnzp{Wdwqfq?S9%&N%YN5-x}!fM!dfagvRGJO^P z0gy&Gs16=ML0T}475Li!kc?0D&(3__wFFfPiA?~0ZbwE25R8@l9e81n^PeUfLZpyV462ghKdMQSUlt>73IT+f}W0p5WxqMvIooFrxM z4Ka4+1^d-Zc{jD#rtVHL`T)19Z~(1+C^SxYzbwhE%=mb2)F*iCtJd#~rP+?_L#>sX zwdC?_()Ie?qT)RQxK;QRksfn=2 zGpN1D4=TCf(^%W^P*so+rKH`s$w3#l7iKxS85h|zZ1^@~vW}DDI&^F|$_$?M>F zkxSb)fS7vz1K$hD|D?^)2Gog9a5!#qsc<4E=qa3X%nX8I3>C$!u&eg(Vpl*6NiT_9 z0G!9Zs&>7M%j-KGoUUL^emyG69Rd5G@bKEMS-_J=*~Z33hddC~ha`3TFeOgACo50R zDeT{0kaYQSd}uh+X7bO8+fmcb=uOYf)h78bhv1B59%+<4bNc4_?hI;*ap{cJNqg4v zA;u7r*jR9cFDrPhr*cjDpN~J3)`5GV7v2)zzb0hO+h&OxBde#X1gqGjr1I(&e}hR} zEH95UK4NgDqD~9Pg+*skO2u7%_5|5Oco_PjFe+$qYv02*8Iz8ECo}1Y%q`%#3>S zXS+_*@bZS_z9E2KilgJ(+gpv13Yy~MdK%d`S_B}PtgB#w5fm_YCO$HkAcikyFoeb+N zA>*euE?1sb4G2Q!q=L`1nEjE%Z$G-psOd+Mhuz-x>ob4;z}fD`+ETBsf2Z?s1Tskq z&|Epc`JKq!c_Xfw>lc(g67a`cu9AZhU3#uSEz1x;cdA)i-IBBDJ$ZzBk6}F?E9pw|mRvAuLQ?>|1mU$4A$ox(Z)yYh7I(n5pe|!5CAtqCZemPM&0j^6o&) zf3NogL7E9S3TvYdFChaY#klW%#c~q%{3-P($T7YJP!opEbSPI2p+H)-$}vTYRf|%= zYSs1n@1nXw*lluE`t59OQ%4vxnORwRKYeDW^tc=HWGdpqr*{I#kkvkNgka8WnTF3t z{#OgY!Lf?6Me^MBM9zsJ-Ax0{M>^aB$V1n^|JJ_gzj`2wcay4XA3sm#?y+y>8_`>* z6<%5GVqJM%n~g)$b<|W^ZtvD%AqA4bGLI^+C~i->6i-7>ucYWxWmlo5??#?td;NP2 zc?w<;x~jFP-%m9jZr`s@evv^3!~=I=WjV6bQWF=;#H70Tf|Sm`hgU@&o^NyW_4$bd zzLb6X`U1^~P3<@`sWA~(|LjbM`8n>IbJ z>gtMGu5TZ`S zqeWs%fA?s0GT{(c3< z&H^pXPX8I*&@f(J@?bdNNa?x#jaF0bV?L?#1KMa}jLq%@i(DtC>tnQ}RT!M&sDVlZ zhnm8BS%Grdw$}ZL*U0Mahe*s)Gq~?pW4`}N#blqnLfG}-OpXx7tHKv~G7I74)H^!L zfIdvjtZ@DH>rf%e1!={cOgHObtgCCXJ|ouZ6-)jGeRURQy4bk;YWuJ3J9*OL=2rW> zk=w!P>v~aeWPXHeHzO-+5OBv0H8nNw-mi|9%-cvgtRY;nwD9x4efe-YgL{* zveUB}iid%wBa|nUHJc2!{kxH%zlAS$KTVbQnGte;3T*FTjk*qXMaAp{(%pjQ{R4Wk* z;pdw>iXM@x)f~^8GG#kS%j0ABwIpIKSCan2hs>}+%HWPLRI3D`HidJD$1}F1*a?W2}9(_NyqE3aPzHecp2$JBil@2A3`&R1~-1 z_^u(Ju)Yp7E`&+9@7=p`YpaTCZP)0i?hK{qd;u?*1b}W6JvT?@0IqzQ+?*xc z9G+D>Js$B6f0SKASc{! zW)GC&*cJi6q}5Q-pl$ln2Eg%$Kny?|Eb?^)O+F+Sv5MaAB{iQ4owtI_h2qdGBi4%_ zbSHEiXy`I#*p^B!$+Bw3E_K-$lBie3R3oG&xWDfSVf`Pur2*r9_%y~ z2ndE^pt7+MKFk|V1NKHulD*3ix&~BMK{zLU_s@4k%Gy*7eJyPB59Z(4Nr7UbG#$~f!#FKW9WW|D#| zq8N$*h0JdCI(@+I%Lm*IXO9$9Vq?;f!4A7g}@{b z9*vY8<`x#}sAb4siO!1&nQGPLV)y>g6n{(0#G$T|e9DghVT}n94%&5SWaI|njM^q6 ze{Yi!9-r3G(jrMK)ECOW6yU+RHEvoX{{M(7BF2FfQ>(b7Bm^%(2O1@M3SpRj!N6GR zBl_hv6#VFe(=RSA76QIMR`oSaiR%%B_Wpir^F$ zK~v@oT$c_|Y6F656#)eQEfF?p!cJ;m{)+LvurZkh2HDp(du6}-G7J24<5fJFfT zSgWGvOPm8W@^R3GJK?yf2H6e70ANtn7eSFzQwTYv{so1XI!Fy_N>o)B+Dg1vc!dXp z7ZL45h?8t=Y6=8+24PLEr(%5KH3623%0$CVIhI=$^JsahY8yrB9x=NOcMfhiYp z0asln@4d+7o8faVB_DmjlV@dk* zM@=Q8SLU)u-mg=|HVhZ9NK!@r<*aw1(+Df57!)Wxp<=&o+lqcZi zG01VKb!>1j2+H#{km(pdvEE;jn{jLIC+-ZKq3M7B{@p*UWALRaWW(uq6>OB9cJ^y8co9(a-X4OunX#(s@h5 zMAzS0n3tp#=S@5HNUDXXC`Ic-;Ees~FYvw_F>P z8bYzK6Oth4>j+>7z~LaG7*UBpILitVwquL0yLXzvl!>WMOLT3|Yf~7?jU;{FV2wxe&tAU{DfzxX(>E^d=F&vPadYG;-H3zic z8p7qFypStbs89hku&hk`Bf;0DUaUI{L zIM3$4az6(eydnO_vsDTDBGur;t(}~108A!2fULd-d;K&hAeELqU%d3kz|BtEn)Nv~ zdh9KW3oq#a^&LdiqKa&kfo@0%;Wm5|@4;j!x<%?*AFt(h{rkrYSvG51M2oAZhsQPK zVn|VI%Epm61EBM)`0{1(^V#5ZX6UOg%ujH0Dy_TnYWd(v`;KZ_E^~m6GHqU`Nr69e zcWP2N?xgG7S#G`K^z&L4JZ*SqG2 z{t}42ehyI)5zVww1XAp|S_7R8;A(=sAXSH~}TE+pxgSw;}>$cMyFwlhov9Ymn4-W7_^R78yoexhp9O6pr=_)b*uk+NO z#mWa(P+MxC&TOcU7!3Y8L$~+E-6%CN%6_#pZ=@T@=_%HD$ZS$JYX}1jX*y~OUSZ+2 zAkBv`sAqHT6Us%1(CE=5qku+ydaBoPU&UV;VyVl3g;SC3hQJu3?r|IMR$8-W4dt?4 z^?R^+sZj8KdU0M7FBG1;!6aV88dvqyDFN8u9v=(P^G>=Z5aq2rH5s&?{VJG<=)H+k zza{g~q;JD458K{zVo<-|MEvDNj3JQ{cL>n8MXnplU3hD|5HbUTLsA$+_UVe<5~S-Q zqiZwUcUn_?e*Z$aJzCM!!~ikIWzZE6gaNMzA-{o>lhgFYq2!r4?APJKrxxO8$@r6H zk}p8E96%mx{iU$O`qZPKmx@=q%kp?6bt08WX|>4#%uoPYjf%RuwGha@^O7^|8*d@e zs?c7uarW0|CWNRO)I~RNgLyG4%Qm3RnZ^C1JaPW|dEpaF3lBCWgqY~z240aZD8!KcUtD33ZYyt%GT(VnEsqj%!M*Z{$PN`1E>M(UtEurtb3L<@lPNfkJEf#rjkjI(Z20D>7O!7Ym4K!SeNqU52swbLw_{}-Hlr7WCn*=I>+SeA zr5hrEyGlzdHO5V2#G>TFQZd`bKjwX#sY$J(hi>KC3*S1il7Ka%TLySjhEwbL2PoD( z6-1#z+BldRgpvs!tOAOa_rO@992Eou7D0#A+Pj|FHS9cjc!z1BIYaWpPTVdBg|JXk zC;9-rd<`neYx}{pg+I}a@qL7%s@m5xcMLl{<3r(W%<-1BDA;F0?`1N<9)ee4C2c-P% z0``erFZ1R4`LE#QX_MvRg1-gHO1Q zZmjH`(g zbK=+sxTKnwI^GvyH7YjY>j*3zj6s(m_b6E3H;ES0$wTKzHf0e z*CKDn-WSFlC;lCQy^s-M7Ol3`sT|`isM0B;r%q;>LEz#R~ z`auRtMvO3AYUz0zza|iI94~MAOxBOS@{$G@Rzlcl1-#qxnwxsyWJ&3{Kc$ zFaoGq3ti}rJBQI54Qf`KU_~5}cIyo)XCc5eqB%kqPyi#)3eb~G{NO?o>KDXpflnD0 zd)Tz5sK@TITL)vDxUczGIzbe5_Z18>T#zUL+@Vga@Aij!6JU_;(qOtc)&X3B$_qkj zy+tf0d=ShJg8ZkktLsku>CKxri})#7yzV=E9;(nne)eCBn2!LJohX*J?yLdID4!z!f@UP9VZ~t z*FZ6oxE+1kQCKj$l+A9TRD3eN`t^m?wSofW07|!aQ1uQxiQwn2A;u*GDr9zVau_IZ}&D7NNJD|cSg*jyF8i09#s>~luql}mw zxaaa6|6(5h?TW7K*Vh-UNDGjayhiy(MS}Sj_Sz8^rFRa}SOT+uRYfTfu4=;p)419C#lUwY9WF+befUS9enYqholTeZ9f& zzf2Boh0aI(W)13GJR~g}D}Bc;I{u@(W_V1Dhf+^e-d($`%N`8+j2_O+-8xs1Lc%9PO-F@tTV^}do^;V4bu!W*7Dwy(niD?dx`vWFi zHILNe0YQMU3W>zfS5aJ?fgl>IAQKsI*v6R>Pavm8f}4C>=qebTd2^Ge&bPM+jL z)fg2`-*9r*Nqc+3Q%%gwRADkQ=N!U_7|IY|40x!b6Z!BPaPGClM9Yj2vy^)HZWxNt zUg{uy(-<0A3u8VjcF*=&opdpZ80nNe`3u8$nsIml8`b%{7m8) zMnQP6WzKfh2xOFRu`s8@@+{mfj_K1x9p(!?a_A6NQGV#gzA(L7c{H1pc9Q^ixVca# zM+3dqAy?K?R|^CopBE4kg$-OoyoN5<@MIooZEJ zB_^@VE-LP=g3nBP%BP^E7RZM%Fkm(8ts^kd*475b)R1H|*qi8v+F_Xt(Go#q3(P-7 zrUne$JJbl6|LQ}Yo50ePpQ|JN?r&4Mv~6r`jKwlkTR$Fo3mm`>LH$mu zWC)lYTOuUwk#30wl)#lTXS>+;Y1kYEYzRCTFl_~(QRc<`Iz+IIXhWV96~Plo{0@9K z+zidYQc#kCLD_ZdkZJfSo@2Y{#UXP8;G{n+D0$&Q9SR+)eYUa>Z~`frAti`~-*GE2 zuT_hicN;+maXp58&#^z!F^Bnx*cD^t*q*eJDgB`I|7roq#U-*XV3KWO1sDlC08-#7 zt))ZvrA6mki=|Nmb!pjTu5kZ;DnLmaDWS&yH=MqEEjncr^t^pJMct}Eaca&d#l{9> zEGz{wSeCGebQ$RD@V3_+yDJ2f0p{iT)J=XDC3lEsu_^hOSGT4fd6ylh!OlyLv#tq7 z-Zz1dh7QZB-(JVU>2n+N_3N9Nnd$fhG+Q&HhC_vUd}d!hsY-bCx1Y!oddkZ_Bnl+S zVoT844E@Z*jTHX6I6$E!3M1w@&Kc(y71aWVrbOzGXlrV=$?;;;hl5D|VlF5=`v*cQ4TwHoz=)h;o-AB?&&p%zPZGfCh5_S;`F6pjN*hQhn=D@Nm8VMv6D z1mE@R^~)15rAU+f@bqEw@Js@y9-hHk$&cgLPNU!?RW}hkQ1(R#$UgBc+PZ4Bf??y(&f<)O)rmq1&S4-jAS5;T{VuKoKJs}Cuyakyj748PKhsWfBx?RU<;t>g07D2^$Rb)6*#dXVm`hbNv-)x0{o-C z$RA~Kd>YD!W{h6_KU3SOX+t5)$01)-*E^c){3ZU=^EwvF?K`@`6%`GjK$fDSey)6a zG5#d8VI{n;rSkf<9Xrla%dqT`aJ9|-p#5Rjk*3Bxd7<*KMm=fWhU=!oMxssiCUJJ5 zqB7K7wEFv`X+`9AZrXoGNu^w6{(gj@+OhW< zxsz<-?1BH@Ds}Q#%Bqte6Bv08Wz3LQDuCvr#kP}yZff``%>;&>rtyD+-eP=w58uiD zU`-@%aqHH5wcUEYr~^us&xBWYcPFA?Fm%z@WrkbVKKS$uVLRn(r)yWQJ}D?@cMjHN zLsAsnyZ0WxSHJwVGq~}Bvo%1i8<0Yc z3mjR_ojb>GT3HU4q^+p)0V~Cie8QM>C6WgFp0nn!l*VN^7!WtqO|NEHaG14?dwV~) zZ!kY@Eg>u%f{kcBqoeo7-A{09)?r zUGdylR~^Q}8-c8S#t!wkk0}<-nXP=$4%=0Oryew3lgGKR^zLUt@n)3L(t2733zQ9A z2AiKhmjPhf=!z9d;$ow71>{#q(d_BUY zc%cI2{Eg=~S(1TSVnqIB)wk&>RXhtD8&%>!RD*r$VFd-Uu)uO)HxNiXMO*_A-cO-m z1~_Bm;1G~x#hZ}ezS}NNaY4bXs9Um6bkYjcnBVSt7piq zCQmo8!@gt~(Gs2~qIVW?OUZd2h?gRcTd*r@#tqf_Q9{iQdj^c)@!{5^N5!zP1`doj zW+vGISR;FvHc3t)R|cdAg|~kh!we2eFC`tlOMwqsPoHkjjOuQL(f7pDP6jXdOT zvC_7OUw`xhHS7UGjB)lhXzfAx=X{yxR_T1@t$tsMb|-uX2+x=z6y+n>1`i3Kq3*N7 zGJEz6BG2H*9^VvU(s=>j!Y5c6N@V=_(-~XOyGilxe6rS})Es|p#EHsWxI9R&XR|iD z-oB1}34K4v|HMW%Q-(g&na=s%5(x2`ZLEL7!L4Tb{rfX)n%;zem7L7S!~4GY!c+AS zMXj{Rb9?-86!+nASEB^RtiDM5pk?uG&5m5wkQ)te8nvqvm0AvaSpR!Snkkq5=0hs| zdhhs$p8S@R?lYpxl>BPzT5hX)X@{XUWC|rwA;MDtae>w6`wugS+5W?R{ zr<;IDz{v3$-|D8X7EO}nKh}7B{%ox;QCd!~yP&3SH`Elc*GnWMU`-{}y__7W?Fz=d zW4Sez2aY^G`cY0H`i!T*>jZo>+tE%Fx1N2rKC`7*u)Q0ow7`z!wfL7&UJn1_4~r#c zH-N(oB3_|P1bmyI=bd|Qb#Nqe;Pl|})1TX(T^0>sq}I@^|4849uXXm@?w2vpC53*> z5qCRpG;+1L=9ak7=bmxXBi{!SG+dI zv~G{=)riXsP9QHD~{0b0?UH+SsaYrmRq?LdG~e6|=Jy%v6{grzqBmx_~e zQR_HlcXb51j*Y?B^XZ$$>|c8-Bdzg@>O-KJn8Nm3_vwKnm<6uf>hkiz-j8K3WM7<9 zs+?}I;#O9^VV_i1)tZ_s z5-qT&*WG0CBKi^Qo4^3Rh`TlyB;Rw$YR{+^!{Q2)gfTYNfr9@YGZQ+S*UimgDDbC% zpqbbD&K33+edGAv?-f{FELQ6EA~?y)*5soId9{;k5Hu_^A0$Kv1;u*|y2rnx=U(2# zl~f(Vv=ZRDf4@f8ix`Iqzk<%-Lg$=`iFv_b5BFW7)uBl@*FZa?dlbyz6O5*UwRQFK zYMM@znSG4g0()d6DJN`sSIcOES;DZ^lb5&lWOqes&@|zCa0YOOr6zC2v+RD;_81v(o)+Y<5k~UaaUU(Vh9}!M^v!vH0CeElzprQ~fbg z2?|l!to1NrdS8^sfHlzcR^RN4&*#bBxg)-?Fi6vwU~=v3*KAP>A=+IeGKgf`C*{1k z!+T`t^E9^Bo}3)c+N9_gTm7Rh%+4YnQF$GPUvFR)av0iX;=cyEWF`#mc|HC8)rgco zLAGUl{8;Yqj{{hZb+(65f@scuw)=^hp_jna{eYemcfRZfVJ2Krd+0@=HV?*tO|%9B zM47!MgNc>z-$$T1wLN40@>buio5=@gWrH>fZf53tosj-XPw&~<4M#sV1-w7Kxx`z# zvS(pnK%}cHduI3P(_NolGK)&6@Dam=b=gO@iXKgHO|x%lSo(XOrn`GjvG1OUh3TYb zm+v@4%=eR$xCqt>K#>Nixd~|Qk2b7)&=K{NJ-8pcEseya79LTqa0f#bbreJUp?}%O#x^&GgbME6y1XRa ze}_>bq+CT)KciYB|P8M{71E)eVGBQ2sB_IFy*%8W>`vO@llQCCO5>`@b zn%r94R<_8GJb^XdM?5`gvWz+o@vnSb%N-yDfPt2B0k)>@+rO0it6=1s4`xO5^f%fh z7%<2Wal_=?oWJAM5)|806TJr@0k`~^7AX%P5+|+U*8=7kZ1IJ%;U=l3D*qN6zjCc~ zfZ8w}I<&CKB2s0~*@q*l#Yj^}la2}q3xDZZkadb*^4F1b>iUYy{N#~lRDIE!g5tM( zc>@^x%~1h(V~@Kx97-7ykLM+_a~wHtTKIeoMs#d0%(m0*l4jVW$AXyQIXye8o~HM6 zRWe@x_g}xV_a-JJG$QG-;VA=VpzVS8O}f4a5mcYggSi(9nPVCHM8P)x31F;lhCU{O zd!7zw>!#8GkPP=4jeujBH74W;dI$v}NdF29B^P^7qmC80xqWY;angB=F~L5(9<9KW z!sgF()~M_8OMvz$m3ioZg4Rq^P1EZi{#%4huP?%qbn&;z(~o;F&VYXa4fLXWUNFfo zC5s=nv*X6leBxuAmWk(4$rCI8P1(JB_cp}~w+ROFN&5NLeUt=6;rs!$&sbeEP;n*5 zZ>IIz1#b&D-|kFEXr7#E=rAsoiLVS|npKr|a^h7~%E88Kj-@HB)tI2E`{rMCYOvWp zR{F6(neUgwLPnI3zCgy5gnQ_jmzS3zX96jIE!DPL=|`r~p59MVMm}?|)Q%n7WmZ__ zws?-F{O?CbvoGIALwEuhQ@&?G1Po3ByNBh$NB&P4>RD@)V+z-qH8=$CZ^_Ha5#=wQ zHYT(;vBu=D)rD-k8~gC0seY{cwT^6H4&UAk#oTc8Yey%^Y-njMeSY$z*bj|}V1i*p z59qWXAeXrn6%zn0T3DNy6Iu~X6Ep-@&o;jEeFYBh>p0g%(l?r*zz4ZxhnrVzYGqjf zNb{M`tYeue8c2$q?{6`9C?q4Xpg~|>@P@KO5G~QSaetB0KeJ7k`GE^2(=CBJtd>v2 zNA6Y~=i@!VEhD48hv{gl#*e9f8RpeVqxWKeoH3mmlE{G9unk|y7p6P^(rXDmV;uGr zV>EeXRZEUub@1iO0_!>bqW&&&eIHM{{9=*%_o$QFH5wgzX#-?dZ=xRrK99o}gwr|& zT5Kc?qyPD!I3Q*q@-5Fkuq_lm{+}(sOkk`C2{h{S;XpN*k(|INDufJCD1wy@?-v#p zhRc3g*Mo}t6iQ=^cw`>#fVAozwix42)T}Jesla+nYS%6xpA4W^AwQ&GEVI(KJt_tm zJi3os*iT=_j{CEUd2@;)B82zgZ<+H$^Rxs`6Qo<-r#+2tv!a22M*(>G*`9K7EaLjJ z!a{lOb_6U@=bg0gG9oyvzFoL_^=?Bcvu<5r&|{^|Z}>NH#A}W%g(JJS5u7=({!pZyO2?rSt zh^8KyZ80?_of9Yye3x*d#YtUB+F*0`Y%{Jc1+X&Ku6+zQFtRkvHol^nX44oe<`9ors-*EBy#Q_OF%<1 zGQVigBP*4ySm?dw#d(zjXR^0;`_h06 zSb2Gi{Z(!xDoN(M*`6_p5x~{lCdJ(7-2IXrA~N_n-5cScrKK&iJ_Y-N^ma$A&^*$U zWGw*b0dKBvU?6&AHE}$Lp|cLkf~SRrHJ?AnLDmG9jN2pLAh|wLtEzk9O7TcO(ALuG zgYD3pnwsmdeh}=KG%avHr|bgXzFY<=nB3HX_VzkqjYe}GuBz+&PN8y!=Q`;{L4zL{ zk3F}L{#!{$L*oR*%3%27fCP*<(hxO{y#KNylYn+IpbmAPuYr@}reN;np@@TqsS0L& zdC?&K?jkIUMj9{&LJ#*IU^F6lx@DOHf`lTjMcwR6Vio%D;RB<&4fWnm*PaTSwG0Ip z2RM}*2inp;2);_X@aJKg@V33tZ&|I>q;0BXIb`I5@HW7OpXhy4J~{1s*t|={?2)N) z`p_rcrVknIpPy9+PE2g6swpL9;})^>rs{wKTHP8H+;lM~k-ED3o z4eiE(f)1V%;7j4knY?=o(Yf^i*+=Iv(zN6=(L)9Ar5YF~6h%(x;)W9-Rb3Z;1-p<8 z_QFx327M}^35%W6(CptuYcCqBarEdTc)$Q4y#o~_(SxF&B*^L>m+q6uk3NIQ8~2FK z^+Exu3-J{CU>Wdm1S1%YXzpVnrSHD0mqYARehfM-@i|x!7n9w1rwPJcx(0;8u6JU03xxvM13a-tu+r0 zBm7oEVT}8x|36Bk0PM>Q#Ak!#{lH z3c2Nqg)c5z4h%G{2Qj{3usQ9Cm(%L(?33T0GpZ`)z)M6P2?LL)vaL;T59dEnVrIBq zv}FW}K3(QO)DJ+8*Cw0ob~tl>Fu={Oq5?0dD>Ly`dB*o`gp*<5?6+4<;6urHJKD9@ zzyM6cXPXs;!LIG%!~}6GFeZ7-AlN}lTB;%mlTP>!#zS_r z#aq~2V-cP?4Y=e_^Yd*%w(9t)Y~5-bFC#VBmX@$=mG{c@`7KSg{w*v~cu}m(kr+qO z;Nv^FRk8e>^YOAKb^rp#W({*o@B}1%-F|9XS|&!u+k?CA`FnU3?BILI{&z8mX7T+^o@7}Vzg$kR zmJk=eMe397+nYcjc>Vpn!+v)=;3S}ZH!X!|hfa<13kVD+K84hdf;9uWJtIHAz9_Ps zC+=x*mxz;bxZCZGzrA5j8H4Dn2x;cciMa>qWUj{1&-p=MOD-)h*q51{>-=orX_t8Y z$6R8Tz6fd-Ni;rpi!bg)<71G?*7~Z>zFmsIC8`e+2RAXM}ia|vG9f57fw2N?LR$(@(Qk`Ijl!V zyUXAalKG>gYWmx9nM^*!kkAz-O1_#;sc_;-yRXEyef#~9Pbgc~($mA33*(&kMrx9L z$K>Hsc>p)U%NCg$h13T}uiVSS-=2?q;~GyZo^^4_qks9qQ5LgZw99KN@$No@DMf%v z#lus-P@tarxAWVJ^Wl(@wPJ9{VqZp%9ReQ&==X^m6jOx%rLM;2=0`Z~;DAS(Qm!TB zm1(B6jnJku*jah^M{V|1(n%>k|I+Kc5wfw^g9pMVPYT7x*YB#Vmk_0IPCWAeKs8KE zr`zi_U1C0*Y7%>>bcBBg!4mYzDXoOIR$Z4o@CSL)(#I#KTNsR=54jAql%rD<_*!al zvOV+9&8pi6q+3$l*Vh;RzE~nnr^Lz z0DtvFV>=B)Bf83ufsp^0oH#2XY;K3npFC^Ff_TK(p6}o9+S`s@ZM*Cz|}iABYOe-?G+eY>Wf6> zCUGSfMS5YXrsP$0HH@*>gVjaWb#r&OK`-w8aTold%wd;D7Qym6|Ic8=yj+s1YeT0NGu9mEWKKTZd;N6+%wC)%7*5_%GO=X!BJfF0Q z9~%AC%CUFvXO>w9Zk3C`YpMGO27Vg@vx_k@xOz1nk9GRz(nggkOvqW87vDBD=SL|d z^cbcTq!oh%vE&?QJBfi63VA!(F>5sF!yBx`T!Zn89{@r>utcfrw6~C0vT3z zthr4OY=z^aBU#NGRf=6_9qDasO!LpX@cQ{VVn0q!fV&QR)RdfsN+9ER;iphtLcpe` zudffF&t~)HXY6|(uP6x!_63Bl?))hm zZ)Q%;T>7J+dn?ckhkE|~kg><4WJ=-|N1Vrk`;EIox{BQDSF~dE)~@?wzZ;P0QLBoV zZ0s=R+v0Pv*R-hcjj{WlNjj5yfX6x|A_g}<73NS`U1X`8`MF0!LzhifJ60F#1gxx=zJi3KLsNdRq)1y`}up@*+q}@EheuxI1_6s zgG@esI_z`&BQRM6>7-Y#uV2?y)!MTwmLJ`ITv73Z&;EqxA)Bc0u%kS>6aM%_O;@U_ z>Rs>2>MWR+td>uj80}hEkH`4mYu9{l=2E5(t6!v4@j~CTozFusQF0$0LK_Nh#TJOQ zQc)s$4u1%N*q-@IKK%$Tj~&?H=O9W+Yz7SLw)orm($eH1EEGEo(TUu}KhJYpIDa&T zW&t*Xb9m{c(?~bO6%x0M%s!_-!3xtYaHEQah4_;yODmJL8#g`%21Ld?yw5H_kUjBc z4QRP)48a`B5LiGOU9vWVW!7`Sgb zaejsOv_;=YE%X}}&_%(+R(?hM<~D~G40&Xj8bsqcRJ|u45}MNpoJYmUGEC5D;7d&@ z4WfZ1-6xDqkKyM9FAYSH(LoYCF=_@$SS*~kMs{DCFTyA$=?u`3HzGe1<9l@am9@1& zh%Kyt;xKb&k7fuXE6?;s)#9V0QB%kUhllUE&y*t%?hPo%tzR^odS4r{1b7!Z(IFtSbU*URIQo8bR zu?WYmCVrw|x`j#o0Gv{1>DI-=hj(40wQ4`om#149FkXKCk^f5VHwMFhH02LxfHPv| z^LxU=1iH%Zoo5r9ih)DfAoa;e>D<0Zw!kJJ=u z4+^eT8nFNBbL9a6XHGR1*OhwBdD`Zc4OFZw8zqStJdDfvC(Sqk(fnmVEd6`wy%6Tn zX0O9^mAKov=Cb{v^M?*zM|cjE_(w_j$uk@f4vLD}y z{{Ce&rnMe0`J5=v_hXi9{`+W z8;n^0`4d~;cN+{SDsUWWJHEZKy4ud|yIP7w0R4ueJQB?nW9#>o`8-{U~1K1Ho_Iux=; zt(s5EBoN2uS!DYYAa&h7BQz?@Y_yj(sUrmUKJ#?25EJizukr8q)Bmm#N_&8X?kw= zWeL>O_vJkXm`5%`BE8T{%X)6?OfVqc&{bBK*so=cco(|(AIok5QOF%|!Sup~A2Uf> z8oF}6yVGuFdApwSwJ=sT!Ds99KiPV~pjIhsH(XL8bH4UGVYV);P^rn2pN zd(Y|H+VZ}T4t}gvvS9$aauTlHTwR4m^h6Y~Q3%c=htbXfo`&Yj7orms-}KOXz-c;7 zEwOj#^qc1UEl-?`6s1pf{iu(U*|1$R*{-2HR-r&)da$FWv(#Lt?Vln^hzVZ~Nb`G4 zpisob^bvb7J5-mT825Ioi@s>zy6Ncq3_!}S9*lUn=(X&(?)ny)jP`>hL`#b@ zF!{MfTuoj-_nJJAzC_=#l4laBYW#eB$I>+G_Gr04--Vi2{G%_73~g;}uIk!3`Rq{R z$HA$@Pz)5dl9Tpj6IaFm{`owyFxX01AfP7so(?i#YM!3dusC>2WPyV`KyHyxGo>_@=1!L$mx6YuzA2wzacU2T&0Q3o($D2h#MOq68EaL9?LT!s&s#k2Mna z(C69M*#+k3OQVV>!nMFx=S@vH(0)7w-Af!&?d=Z%b6&uP!_W^*M|7FdE2$#kU^Xcg zTe!%O1!@Rf325kY#=209J zsumDZmrO;>49tr^P9}sUN0=~|+i;IhVoL+J43@;rS-Nyyak>nhQhrDp@Xo)ss-Ru4 zso))b%ffw&CwPL0-1o^qGv9o3RZ6ClC;bGGFL>Y}*AK)0u*80;x-}Tf(WxQ3f}>{p zHJuvH2&pJ=fL21LqPDjl`7+X5l{qRX3q!hX4h|wQ+SAQs@!NbypEj3`8-6;RwCKG% za#F&V&)FMVw3u?gRXOcYO0T)KN)kJEgu*T8e&f7Dwgp)vwwaaNpb5Mudgcgj|YEiYIi@MruX}G=qmh=8i69 z28qDunws9jhMm8**^Wm;EwSb5@1Mdpmi7zc$nvWGK7~mRE=-Wyya|jzZPs|Vat5d) ziY=m1Ao2{+P2>Gk)3kMT_Hs~)(ZO(!?}gc?-cmUbI(JZ&MOno;p-snL6dj;)=mOg} z4Th(xOkxHdF%$A4Pg{siQ{s}@Rfw9GTy|5zVte}`h?>BEfQ)wY!GjL0GOGmJyV#lO zt$ouTK%AxKTz0F&`s$Z=d0!_WTAC$!7sHtWM>$EDU3#owJL;j&MGe!72`{m1kWXL& zq{kOhqcy*Oxsqjln79KZr0sK1rJFYmwY1j!w6#gwXi@7hf+2+JUm~TZiL%r9;WhDyBmLO{B7t3nCf47q4%vnPx#t@)i&6Z+J zgEe!gx5HzP3pbkDm%u>=BQe#Es0ts8yTXefluU{SNVmnVT#iwY!qGHrXiXp!bZm^tEdd1u6xqe6EsxOfU!%hM-56w7EG@NRUKl94$x%K=;FoMVrIK5 za?6%rph3Wx%D-w>qxzhQ(N78tfXHR-l>~f0gAOl2f5x1vzr#!3D4)7EKyLbgwrzXm z$&yvkF;lhK=e@PtpEX^4lhA8*zVoaE=X4! z=YES;rXTWQe8}dKqHVG7ZQbr}@%3d;d{#4Zw{z#_<{oj~mAWo3amh5a!c#(CH<9A> z<43Pcl+VQ<_qE-t-ot0Te)GWaz@S|fxFLn{D{=rc{d*t*7o zQcLzI1^K2@V8O*Sr8!)Zh{YtgPT;)zT0OB9ClaP38*KK@AVv~#R*>e*DIP02MWRYi zUp)YJHerjVzrrk`Xa~A@*JbDNloUNiymdCN;J&fB7{?7n9uL`s$EV6)Mmlij$vsK< zU@yee(#@yG2~$kOvAUf4UGirBHw?VQgM2q}`mL7jfevhAkDk{#f7dcO<2k!@5`KI{ zqinS52ZxGj!_J*M3nQv(H5wHQIWmC%yLftfqW5jD5*ND{(tc9dQuus%`CfkJ@RY+nD?-=}Oe@E_>Sdjlb0@gRj^2=wX%GRYg+ytA=vM z7T~MMi@dR*AcSLU(V`h&*S*2@_%*O^w^6ITemB(H(GujWbY&-~=&f12rJ?*h+=V$P z*-#>)v_FuE(7pR-{O~CgisKfFoaiBypMfb<)1H_oBwv5B7L_Fd3I$bqgu7N8+?oSY z)y+#J8>{TLd+rJd$Q!=o&G0Tecx*}N@l)F}B0oC?z!dBybA97v2hJk!CE4$4+1%|%wt(4Hi46S=;$w{ppf zd9ZhSa(Z*7BBc~qsmBO@YP*1|=!>9M(t4b(j!t_svpo0lX$4Qp-@Y|LYv+r8e@xvk zZY_T>Yi3kg+1G=*6~7x6Q|>vhebiW|H)2F!X?Ea!$BqvG_uEeIH*Q>Y78c0L56*;zRG95@3GyWaZu$_%ZP0DS=f+1{>IBV&QEyAL#pyXnJH1x$~mOSGKUXI}Z? z#^Y^Px4s*cGkC50TH~jskB-^ATl%JuPAog_Jt|y5@XU?S^(CD%QvdL$x zfQ1+fZ^kw}$^jzi5F+mZQSHAuD>~!I`hG7-D7G9qxCf{vq9?<*t?3ZLw>ns*h6$qV z0y?hmU#8ceYt(9Gae(7S2>Qa#u?N?;x0;-^r1P(z%O(K_9vm~$&!b*#4V}LmJLZ>0 z2WZuOx-mNK)7BLkBSncAu8xckgVYAKZj%^a;|v_jC|jMpOOYfL%jLaO5?gd`CMzp6 z*l`qj^)orCeb|vB@b2%`bX#$Dj>W`GvN*y{3u~EsB~pAISqSAP0A zVue#_GesOcFl;hX<;$UsBHxyTdr*EGR=Pd#3QhyU9tMf6Y}VF8FvDOq7IHQ zvTK&CL(@JS*5VM*0=<`AXNcD-uv<#r*h|ab#QQ-7t;uIRU0|Xw%hRG zj`yV>4o{w4WuL}ht8}_Ljv&8;-!nRu+()o783&(1!+|8H^*wp_83Ee%HYscRlByve zt!i*F=o|GaGw(y;U2|t!znmKVK)SVC&tl;q^bY7t>5tdaSh1pL&N;C7>EVBtgl$;q z{MAw2A@8`3<9#KFj6b-=U*FFBw4*I|*wD4SwDbnF=bAS85)HX~C^)s2|5IYXPsl&k z*8gHIRkih%-|=TF$DX_{zYEgL0_2nA?)`Y^v$Jmd7NtRR^gVtKgO`=r7~#D4^^G=- zyDLi;`CPty==%qk^;16N_uUYu-pjCVR@s8-_06o;u3dY^KAKg`^Yo@)*7eBUm^Qj< zBSRq*=n^6vhpE2MMQidP!d>Fr#fAXq*AUiQrK^XjsRAn=6s}C+n%BftI(W)>Q^di0 ze@$k#Y3gjKc7>b^k@II-EQ4r10DqwO&r&K^b2Ucc^bF$a zb>rJqKwFl-hMW1}>U8pUq%|!QY#Vk~b&S$N^x~@7bgF-svMHS?+82C$uE8Tw*U&h4 z#pA}?`x$<3A1>2b9@@QMzr-w1PQ%QZp~Z1Jl^mvBTl=fc3U%q(c+_+mC!V~+!}4{u zn=40;8AA`s5_^Y}lr2|k2b!Lp6Z+F{(n9Y{rfZT2ClmkJ#cfOfnAW!YXfeW3kvIQO zW8>KiJ~TFN-Q1vE3g={I|78I5PYWB8q8Qk6N^9J#j5^$*42PxOMk}r@(|G;@i4g94 z=1@C}77OR>8|ispd!Y?Ni7$UJ$NA$`<{mIQ>|U*;sMsf|e49qEv2IqcZ?>F`7P36h!zcYwqYm!t-FvmO zUiOKImqVUTG7=zdW?o?-s)KFTY}I2M%6g~pLf)tlpEMaQ*n+)N8aMI$8g$v!h* zz3Sl!BeN=RmC0ZOs+!LXsy}?F`)a|tqlNn#zgL?tBl%!Vs^x|a%Y51-J@l`BR^Thw zYU#s-2!FUAdgJe~4%@4!99(6Cs~q&5aj$AbLp>m%9h#AO7gv6W*!Alpo7>woMsxMU zG(y#9YKDsXTqqm@_CmGui$?|1>IBa|!-fre<&bk+D=K$@kvQQqp%%#~GOKKlTbL=7 zStU#}Vz_RFqbOzFDgH*$IU5xj%UB0$9RrylbPKDph*^phiE`%XgPm@zI&2D39=le) zN7PR1(-rb&D@nYs$UTDTsA#fP{3vyXVmv5kP7gVVc29*{1Z-M++QkY-@xPtcv2 zka9SEBfCCB>P1!qra}(gupm&P@_O6#$iB)bve4~eTl%4V%8XwE>UbboYLt7RE;&%q z6^$%{pmDr?8G`CrMSXI~w}a`E-~FNEu)3F(#5jecqDI-i=}hb;oL__a zNys`CvviO8lHhS3+5=ac*51i^x4YznhfT|NW`nA}G$Co>Q>IMuUBj7cT}l&hw&?wl z#c4pC_CtW@N^KptE0}Dj(#@8CSb_sFFu)`cTAwdPB- zM+LN>HsPf>PsKVMFlwMCodpRX(w)LrK95N&b9Z-lMRWs6$F3K<@59 zRti9wE>*WN>vvPzDQ*nl9wtI><+Q`Drjqv*Jx!5cB1KAOYE0XZYp8pf4KI&VRfxBN zaB&U7e*h)rcS}AfE$Qu(eextd9Y_uPkyFaY%M%*sNumr?@d~O??ML!$1gU+TyXXe) zr86e_`Y3at)*&I4@aUVZn>A*23t5}uL?X-j%#eY1CDJJ8h*|^@i@3*}%pIX?(PYHs zfmzYM7?td1#-nOU?=Rh_^#3mxK)~djSe-g{yv`zSH7js^R<~`wxHK{PpoMXal6$gew2g`QqW;-C(kO zp@Y_e?bmbXFrkh&&L0FY_dLk5s^rQG*gM3oF`b57O$a2stSCDFy3irwZmn&mp4|}O zG;`g~aTNXCjk%d}SJJ%Hw7U83PlZ+AZnl@umr=KL=9S(hIs!>h6Ij)6Q=>5V;yZ z`R{4JHjP}`4EMb3if5%_3P5^()$>)cZgSUs?2d}AsZL2Ps06*YoJP4Ma>RJ*`d)Ni zU)?nm@RQ7Z{A)AXC!hVcOMT^Up+3Q4N@4nf?)0NE-%$%Xs-b|+((#O{CuQ&Qo zap}y%g-OfK*-zD)@802Vgy->&oex}pdTt*MKhunNpRG(TIQ1aXd)C|#NQR7^%s~fa z&9_sRxh#gV7r#hdhpFMQ-I{Uw3Q0~=7A_emyItWZC67Y#YrpTdb$3mht@Y^C>d?74 z%7i(iqMMUO)N8029U4;mE-oRF-mn-5MhERr4t?zED6;xeW*iic1A2#dLG8yEhdJbH zXxuAJ{cQgMa;O*uAe`H}e>Q?)mC2z|NNPdREviw@?~ru|qeAVmY@>ew1{%JsQ%8$B z{S~?ua9~UYSDO=SZNz;m#Xs8Wm(}D&LxH{(-I&On(5H8CZFhICGWbw*+(L_5?U#!2zX`iSc=iAk2*0pV$YGL#>52#+M9KvnYRDYp*o^Ry#Z*a}8l>rF9Ha>8Es->~40$r!dm0OUm6-O;>sH%jeI`ZUli}y~!d+ zyV+`R+BI6xDkGN9QL*a3O{1;R#~}iHV!S6ZlVAx7nkt1?Ef5vcyUWNxgr9UN)6tYy>5>8 zdt}%4+VkgW=3^qn^sasUvf0aE@h_o^_WtQ-uQpvj(wUt^LyM`tJ%j!#VE|>}HR&(g zjTr|j!;>3lMv<9cIZR1vN{_|@}uAkC|l+9z)y)KK3m>8tRBv+#LgccUp#cWs$ z3ysg8Kik_(JQr*GVw;NY()OL7?4BAj?<@_^)D0K2o+=L=ir`7_Elv+tmb`c0b9`E! z?y@I?+V+^_;5CPxO{O*rsV;xommfSI<8;eOTX576bQ#i8JU)-Sf4bCYkHFV zl!k{sLyi%4v_^&>`Ct64v3%M@eH+02OqA0kbg^Z`RF%qX%c09x_^S-h3CCCOcCO_p z_fh+7E~|-_-t2_q%ro5m-O#S^YGW_y_;Jmm3(5K4&Q-lkSNQ%t%l=o>*r`RK;)u|C z+{Rq1(`#u$l~Sj`IXtl1exh%Qd6^9j;u0tI%ZU|2SP-NW`jnEJTYaMTiAP4p$6bD` z#@Me9JbKv>?U-^`+rWMmYpbk`x;()l$~Grh-2bSdbqq#q~xRA5eXVjZw0+6W+qEmSNRWVk)3YK)_<}po6E{}gyJYu zoF6kx+s4%HMXH;@J*~8gyMr9_Z*GND>QwY-D|6Ynugi`RPhRn~#^LdRK zAne$dR(-c=O#i#de*a;&obt?!jBSyV;)bquyjQ7nJnPxHMWtO?iq(|-h49)rK*7zy>uJd&D zoj1psT#2ZB+o{kkEZNho{K(fbw5h1KO{_)>&gekZT|N8-1d-=Hky`aCuI6vSiScA z&&I~nJ?b}P6s%447}IsJbWP#X9;I2X zy+=I_&%g)7qUGyTrw#3Ucq6?T)v>*D?BoSU-R zM1S!SO2BxvxJ8~>rxIftHhT1d#HH}fADxQvzIwH7^3t~!aRrWw+bj<7?zWDbA|SxU@0lbG;}7u%$zuecw( z&m(+A{zDh%Z%aGlV>NNpChf$;<_8Zh`ugqlRhJ(17kl>q<9?OWn{QU{X1mq*Z(OlC zBCwP9NF-w86_+Yk^kGj)4YSA_EP5qA1@}3uhjhCV2@v&;TV?kTytv=pu z-}VxJJ06R8X_-6Axfm`^;Zy#8&DG(v?7N61(DZ8cRewpYbFabbD~2GQ+4M>@FtYg+ zd6biK2kj#vHr{trH}#yZ|Nc(Q!?&i3v#i1L5oPfLHo+<;>S=xdsI3cin&gxW4Hrj# z-Q=;exeE<$p+qWr)~t-qZjFYPIwR(F5f?39t^-fH<;uy+4-M*_FAUWFbCI$84`Fb0 zV2fB%;ae&B*LhmM%~RIc3#}g5t9cFleVczTTO+=+=K_t%U)^>7xtHeF!NIZ1?f$utNS?(1 zbJ;O+F5t77v*&xntWzWwCa{qY~^8<>xuA4S3q8VVWCOc< z#A6HEN=qNbMy_jVXsr@T(HSPZQgS31{SwlbL>&F*=Rn5@i zJo{Gs{=N00h7-q+t0Q~OG>-8zC8G(@aHhV$l(&@L9k&H`-u=`dhY?ij8h*l5Sylq6 zZDwSFU|)9SyllR~cDjxF1$Ku5xoU=y=%<@i&G0jF3T2%dWsB{|%WpZ5sbFGz#Iyh> z6V|b*t#JnJ!Ow*F$$9OVIYB;|J$z%|EI+R;jQ7MZ1#tMH1Ec^96F)U_k$LAOxi3;& zcH~Wt(ifIlyqwfQ3Ym+T7qZY9jm>23EvENte$*8e6-7}&2u}XF?|&8Dh|E8A{tp*q z_$Gsg0n?u(ige!Dw1+HIzR}I@O^OWd9r?Zq)La7H#PIMaTPAbOZW??G5HE0ikt%rp zgz!DU-HYh!^sDVwU+mqELgzQM7SXB|y)uS}kd^l45i_h&bgYpeKzZ`ak;MqJ`SbNw zgNvE->Th`L*6@(8mlT)$3FsnkWFbh)Ks$0^Swhg#;xG%GdaENfkxXh41>trIwPts+>WAt=Z0I?eRittj-ah3L2vQ; zS0KX=66TM$JUK&-GGY=Ptkv)_l2+gV;ZK7tnsPRF=83jU0}9fvdY?Yc`3|$5m6w$n zSSSiNUX(4w7#ju3*)`>+$qZez7B0VJTi0K{ggm&JlCT|>!Q$^vc^KE3hh*HO2Vhty zNZO(%`Ln2R-@fIp0VyCCi%?Dkz}v=9I;!EqF%e+~<>Y$uvq%jE#{c~q8(uYThi3x2 zK=?ON0WB{&Z?fX@f(%*KG~{={+RU=2MDrU2WWi?{HENW2_K^IpgOuckpU{)@un`LS zZB&Qhdn z)#${-+el7*&CO;~E0{+n(-Q{8ewvyl~aE=J>peppH1ZPNg_(?nT9TYW^T6YlSiWz(SOyFWkCam`Dlqk-F@} z$3_;pp@kypMMqUtP0`dzw;e1k=ElpN8bEJ~QQyU2LQxuiU`?j1NHG*F2~3Vh5&OYq z&6={95ZjIt;NW0Tbs@^ch*D=Gi^c5ErO!NnmG;O7k&)?%-19!>M@+1(kNEmZdwB#V zjG*3p_UtdNqdyU=BPJO#JqdgpmwsT^Lu!iL;~K`n_SwY*3I@NpxHuu@MJk~#iRAx}-Fr??k8 zf!xsBBvp?iXiW!5d%e6Qf%pDY6@SP0lKwYW^U#9FFz5zDN9-brrvrEJ06N*#C$oQi zyjhRzK1DUAdE5#^t=YJ2SW(di&Q#I(y4s^UTf+Bts(EK zAQmm%yB^1@b@jY+48tR`20YPkk80YsXkmWiE=&K^vjppuDESEj%)gj0FWFR@0-jY4 zPW|pX5*eSd(4t=o0eE++2lx=be|pZswbnO6N8s1Y3~&6(S4j>58h+{|9G*)*0P%E` z@$362?<+}lmnJ!&=DwQE#S6QLH^QZu8?>%fWzv(9e+1#-!&@dUG zq-oh+TH>vTO_Eq6zgRxT-z-nhv4CY;hG2~Gvo?9v_-n^LgVtr3P_WB3A%s#s9F4Fud(q+Eu%h1=uQp7RZqY30Z#MI3!7R~Bpb@%beDW%9(HAWn!X8C8yX){Y z>x(PHQdiLok~QGmTkIHApNEak{$XuBuE=5%@an<6n#S5Dcm9qviQHZA+cmLC!8ktQ0N%sL`}wnnrfNfU(n(feR7BMV@Hmh zO^2!{(8^D(MeDex0&=hI+*E~dik z=fStTU8av8hlW&!8RHPARiV?qonP>=N8^tj(q72QhrT*D{`L?nmev+bv`+gbXB?r2 z)2Dy`uE|i3Ql-6+lcGOVY)ugmy%eb81qM9S^S3+nt!R_6W}5G-PHALVqs}kwg&r~Y z#dmhusiZM7u}Kotl^B9x2{G(zy%P^W)&Pkfai4=>m`(*jTk11* zZ2B#a_WR03Vja|utktqe`T91($>A6CBPYsPC}wK-Dzh%078c$nUi%kuzpbSy018_I zA_4<@14Hdahq6K?7uD!nWzIa!;R+S>x#Ml+9rwIWOxh~%Vx$s+q3#r}ryLf+y9@B3 z@Zq{ZvZwgwl6qah&R(H^on5fyb}9Sq%P&v!l`GG%8vJY%Jl}n8lkuEJ*uwR~5v#cu z+4R&+n^M`yl%d0)jp)^Df;5GE>hX#?ITtFRCH25;bGK|wVW+l`7_mJ-Na<>`wC-4x zyo;cBJ>&L#GoJ7~Xu!(-CDQC`d& zQ|a8j7yv<|r34*zudlvBMXtXCc-I#16l6apd+i7bUP*(HdRjrJqglu+@q~`_YCqgv z8BCxb%UB%YWK}~CJpdM8BGVI?z_JHZ4E?D`^O2>AmOgN2ILmi;9eL(f<t}H9j z@hE=#*6Dkw5Rc#)2`>-pORHss*#|a6SJsW&?ENcE{6sQ`2ANdf(9jT3v}1xrRyhHY zM57r=yVLoe+g|tk1Qp6vEkVOha73c3q1}KU9#zvF4|M`u@Xkg5;NV%|t^Ps~xfCG< z<~?P3mOa(6*YGL4zzqPd)Be=vc>|=oN7{qgB^jW@qGcw`diZ^M>sC1M9Fr4_{qh+Gxg~W##wwk z86|j%MgVofHuxUhIoz+KoVbO|x=UrRU6=)EXZqo%Zz{? zR;RB&GI!_)w2AN7JIEq>6M@gB4r_-VHVY&`&FDx(IO3hVXmre69a5Z)$!g-FP zXK2wypn3H$?+M5*$mky`uMy)ON|zF%cJB%c>kh!vLK4nsBUV25Wl0N9Fxt$MDe-c@ z&$71T2$KO!d9!x3FcOg4Y;7yt!028k>9%iUXN?yvtB#tAv@-OA@a>=@Hi>8%o^t%U z(1#b}NNL}m{Ka~^&b}T(V&VSt?FnUiqpYQa)uo(s&M>l*bjQ~mYH(2QawAvoMgdSr z6r0j`1=9a}C>muW@;Hyg8fSn(X8f;D&8Vv%d-zmVl?q{3KD?M}YKgJm4e1&U+P%y&T;uHHgZbGbH-@40L*K|6Kz#@Ame~iySDJ$ay4Q{gZ-_v{ z&-hO1>gs7JJdzA!{1z^`$LRL7?*yKfLZw|gN`mhC-T6zIiGYMSATz;Eb>Pn@ePAnp zhUyqeyzl3!(d-(N?{kA@nv*)VLo8W@MZg%lL{A>3+{dc9*{te8Pnn#8F$rs?R^Q=@ zVr}TKTs1qwNWYL( zvQ0B(`U=avy}e~56zc;`p3(d4QnuC->sc8o?Pq#zT{B5iN-!~;VEHc2II`P<->!>V zOl&iJ>_@m4m?iIml;tzRt=2G@zrjRA%HKs(X zSco|v-wwUSPXCIdj)8~FH4Y&`%J^2#_7SIX`wldAr@dGi8aWc942q3OFE(SkM-|o` zei~*pekP5X&h6s+r=+GL`qUZVVz}x>0Gv~mi&`Afw2YO)rtg68E~wN?p9wDrChc=; zl$m5#E(DlJIwAEqx}*Q}r)}KU$M^UT-jz2g!>{Df$DXMT>~} z0TI;*547aXd8EJ8Dw565wQQZ8n=@2vtot>_rYbXdHOF01{|hN;E-J*chOv`D)l->$l=u zT1>OZvMBB6ySS#pY%#$=)EAp#^+|8M@ zBVec~u3A+sn~*av)EWJ;doF#800DeYoNzejzjNWNCvZ6qey9e;=|WG^t~c56UQi-m zf~&N5wykT7L8ThD+1#a)ii&>NItVHddOe*4sw0q^{ZNLJJ*YJWRxJ7Ay-VbpBC2Qj zWrV;o<_ku=^K44$Id{q!BbqhaQ?4grNcXRq6K30|<5>LT#}Crp&!6`RfC?N7da{Xh zi<5iFqs@@TmcAed-b)I+6IC#us=y4?mcsWAi>VAv z0Cn{*WNb5q*SUovS|mZfzAeyV>BzTdd3(G&by{5=469?<^b=|qX+Vg|R654WMDXqO zh2f`je*VabmUoTMnFmk*Z_J8E9oH~t?%b2v@0k`LEuQz{J9wX;UYtR;mWBkDV{_W0 z<39TZ{}x4zx88v$+6Ux~gHKEZTtP+@1q>c9BOVW98_0FVqY^@=!zGPa2q<$YY6Nn? zf*eNM8I-U$lc4+AY0x75Ine9gL9ScM8QcItO!6Nzr8e=cle)R)?ZMU-XV( zy(x6dRa#;Vbvb6@b_Hr22&u5+Q=Vp(Iq|!<$Vz}jwZYwblWL3K<#h9>Uhn+oIV7xO zWF>3R%TZx`f@nS;Mw=+73DZFi<2k$n$xh(i@34%YH;Xf70Ee)SQ^=7cT40zWTXf#A zAp|$54g*ACCu z>95|gYuABfQu|5V{8+l2*%nXE*bG!x2SVD%Oq*EG$6{hm1_(GsI0pin_u*>?lgWuu zIIX`foHh`*3K%^G7aMAX!6I;=-VgP^9l&;Gtc}Ii6xOvL86uBHFhElqxIh7t!q+>* z<)|6}uCT*@E@U!!4f{1pD3^Q=QhE%CqFn8x7$huw{>3i&1W0-z+@;LML2Wj1FPH z0B&fg2s!5Fdw>2KymEBdy*?WKq7o-`7*ITv8LaaAvJId@b zUraQ-^9x{OTqoL}rF0Y&(o%)wg)6On+IIKja!a6?ZROz=!3vELR?5QUhVz`((x)6Vm%A*^AYDZs}u9xW?T;8+Oob0W|OjxRN8AvD27s zN_;xh+%Zobrx;2ABjOauQ=E?n4U)v(3MM{hC`7 zzIJ}koMMN2gJ}K;0abu)VtLQry_?Z9xIs}e#PNR5bx-;R_aI9iD=pyTm()%+Htu}K zIcKKM22y)yDe`c?gh%*U^nBx|s%u)L1qJ(R^br4V8b~3~4lpz;a8)(v?K!mF@HTU@ zJa}Q0wxxAqQj$=^6SVkI8$Qw}=mr4X3>3XRA^Lu*zUB?Mgu-1MhNF{>>CQWM?>0?? zv%K7KTx1a)dD6E-u!d-1)`<`pGi~{DEws$Guq3YM<+Y>0orGQz!8}=e+RScU)HUz2 zptb?3FJjbYUdR_~>>`Sp+xu0#El18a$CPhx=|c#VXyx2bZN2M;bFZlUGila23i@el zLn6Bccd`249=us?Xm8C`|MqZontHf~mJ|QyNB2VA7DF6HF)%;1b=0E2b4A*hx3&%m zb#o-i+layOeVlv)gD>nf9r$lweNRTWy$27rlyJ4x7rhx;y_qQ0)722KxjMY@8+r>9 zIcSGC<@W(zak6P^aZcQarq|+(OFwS(27!H)+B|AeCPtP`ZBt(@!50X&IWlDO;@5l7 zYi1ta$;LS4gofXfzU}9Bd%5`&Hkj{Q2jj)Yj^nGXL#AYs?qf4#fEL+R@Kb zflkUP4KFYW!sBLv*G;~Iat#NXN2kKfd?78i&!bNn6AppRPfo^H)k zQ0^!8L2jHf`Kis-cZtJuUCX@P8IUmIC_oTcilnPA9><2iWMUE=(iY@z9;>4LBE7J_3l ziLTUkMw%S0JM0_q&$G1bH!WOW<*y6NGa&Z9hG4!<&#>P=YsBIp5&+F-&z{X48oKMh z)D2h@@|S)z>kvGUF1uHhhG^%Kblv_FxV621qkj@&X7~{U8MA)vl&`qG@Yf z&)D^LatG<}TNnGLb&t-~xObv3YFw}8X|@Ta*uc0^Kf=#%6to~>FkaD*Qx!EUxg{1U zb{l)2hcFxcfjn4F;>>QQ)25>JtJ$&UGNh0L3)RIsj?EpK)??cA>Bhjz560bao8jF* zp+qOG|2k*q3674Ax0U8*ZTIm}2aW+eo4jUC;*)Z7y)0HiPWK!AccCVJjk$+MAACka zL7V0c0Cc;55PtxC*&e0g`n?f4Xfzc^UvoXN*@ES;Oc!g;E6Q`u^OH0C6Y>u%kF8hPmZp@r9X1{ZAXW-MS_*Cm%K!qvzVSOZn_hQ-Kry&w-=U2mX9(zQUxXOP96`H+lPraL-6VdytDq|J>2iH*b95>q{HI8ovS0!U%Q(;vEZD ztneqfl>)Y=P(Gs5$55p_hu6?&)xiJgp?l)f{z31ET+T+@7(Qupyw}Kzmx|^LpRaF2PjJ_gl?JZAPwiIkGHrUkEwPMF< zHbag^yg%%VV!o2Jd$8R)7Z-shN%}v}KK&Ga9@tUXE!Gz?AB#GPY`Sd#Si6v=zX^J} znl&i!p%87G>p+ZMD<^+8hGEPIgYWg0hUSH2jH zrf*x0dH2ozSxW#$hhE<(;W_jgJGMJWEkYbZ8duU!8#(lo&fYuK;n`x8Ogc)r-Y*+z zJ7aKJ2;N>C$p@aM1ofr*w{jTLF?g7`l$9zkTiiXU%PrM6pgaE{$I8b{BLoplP~~d{ z1zkv64m}b_q@jJl>jp=78Cafh`ZlBEW({&RzVVl?AOay-Pulc6HUb=i zqCo{{YNQxl{wPU|kWc-%I0sYeN}+Sf#KRc+Jkjg)EZd4+@R~cHOzijsugM{;m6f-q zK+u*HR89}=t|6ef~>YO;cmZ;6}j?EWd^56O$7@>)*L53@R;m}Er(pGt4Qn1VRG zsFD>V1gWF&i51?>LPg_f_Jc{>irkvS1yLo(eSIBmn&VsvFx;HY!dzu{S|(3YyNPQ} zTusXZ-KL35P1A3TK9jq2?|}pI{5wQcglaw_U!LI}NPm_DnvKf<+(3_I3t^&(iAfD( z`g53Xtna^ktJpO1wHu_sHP5Syi@m_yPkeX5&sey*2*EIFeF2Axv98RynjL~A*3{px zm^lPGCZx6i?4aSJOyg38fSIhl%U8kczvrFBfbUGr2mqbtYzD;}3>aU9Eo4~gn#O6_ zO?%T*f9syKSBs?9IWdGq22G3v`QnYjwjfTv9@XZ9DKL}(V(}UUDf?23( z42h%IaIv^On`~Jm&87Ao2y%m7U0^BYMfXwHZ2or=*mT{;WCq5!`VXm)kQ4CFfeo?j lpUW1<^#A`0cBNBsqm;JGdgWLZ&l3_a6Qk*dXC^M#`hRz|!JPmA literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/hinge_loss.png b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/hinge_loss.png new file mode 100644 index 0000000000000000000000000000000000000000..359ea26eacc95c58adfeea3294a7d19bf20ff0df GIT binary patch literal 17897 zcmdtKcR1JW{|5XfNUL(%Znqsx z5u4l2_SSaJ))se|T}>UGEbMFr_%8BY})U2&;RdsK08Nq{?|;;0}+H7k-vIb z!#(zQznilL;fKA&iSMayM6BVgD@Iq8@ExNGLPUh)bqc6e`8@d z-KOFD_s)d9m2e+q-+_<}<5Z#*wTgHofm!T;e3$I)f;=Z}uO-T_Rw{a0}Y@b^ktU zYqdPy6!h$wdZ}&yw|GZG)5h1DJ#S5$;_+~-vG|AWpA5$18&$a%lGLdxCG=1j%E!4rXxW~5WnIL1QZ-J@DZORZcW3cBe5o}&JiN5N zu6^_7b4HI*3R81)>OQlbjm4lBFEmwEUp;*ENVC$_rg~?ov1?}_(oe3^ZNBp%;jw$C z<=%64TE*E`?+ESt1igcGXB*enXyxgpb>``FGc(I*=4f?v7v3Fn7C+{*8zo@A(&yBi zW!aIvw7RN!_3C3r_aQu+!5YKu^?81xsxD){YLn(Mzb-4A=t~}N@7%pRHZhUWnx;52 z9Kh5Gy%YDR`|a-$6BD=2^;fRq4jt#<;JESQ#}CiB@`>=67_VwS7KDuek4Wcn-LR^! z?;a%+Uu4dg^~I$|{u$hZL(!rR$?P}ZBpOz_W+_JUIf~K~mU@guXs>+b#!l{S&v)%? zF0Zz$t5~!oUj7MZBWe5V_wQOU!Zs@n=MwIB7u?n>FnM6)y?9M2PFxc@sZKI%OT==SZ+1^9C!beh3mvvFm$E1I@5(6T2AoYYG7+X_vlnbf2^33L8t+&!@k^ruPaME!=R?7CLbnS)iSG< zt1}!rYT1^q^xpLD=jRSR*1}!cnmNS%YemgcPV$aE+q0!zyZaqjS#|u zUhveSE#0CcTT|P+7*70`^&cfxT~`uBth-f1oriFE@@kfr*^W+59o1gzS4tIc+$j4+ zS!wLITQc2+#mc>)r4(oBDZE?Ht^ADYQ?T?NhrD)`=VoC&qq>Pn;@Y< z6O-iTXxP?hm`btR`~deHHy@v}`S;jc!HklEetX_=q7J|O-}PlXj(z3ibHDCQ{Nm4skC+QeicX9dI%a>Y}uCv6xzLDTa`3x%z+|FV`A#Cs@ zE60gjcINg_G9@J?U8@ORSXj7{u)VdV5Xxsz#w;)Hv6RZndGX>>5O#Og^m;I3$LAMx zW3#h{lV?Rmb@(D@{8MH|8^V^BmMVTdA@#qVX;AJ+*b7^o&g8psnSz3XR@^xg{UaD_ zs(O8Zdm~!PXY2mbXoI-@5C(Ni*REdWkdiWbM#Wo^q$Dy^Ds4X1+Pt;YtQ-20Njg6> zGxN@Ne59Y0wuGr+(v>FZK}go}q>&iAHy`lVVkoq1#S zqQ#!8mOcybkD$Jll?eew2RD} z`J6p0EvG3n4l{W#T%PSIx(?1-Tk@huirrFQjgOZ+*UFWn@>@I0%`SU8n-6F9WBP5i zy}hfXb{1siTYr{VVat@@$cVd4r)nE{T=Veo`1#hfk#sgxV`1NPraIo_K~Z+rIUYsCVNGvzl+?;E%c`jpB&Kb_=HO80fjnM+dA zaL{kRI^Jte>{ER`^`@8GWXoj+3D@>#{56@mxjg+YU4}o)98ypd!Xe55&l;Kqob$jpH%I5SEQ!0ZfnfmMh-6c7z%rD*f+&X>K~U}d1d4|#rEmbr>PH5j_JL< z7sv?4?ssaIBqk%%g6%`^Qi+4G^>A9k0N2t04o-~{@%HIx5xaP~m-Jbj>gkgYjxch# zE52d!+bJBn-#tbh_nc8u4?==kf|QT*&W3}}=2&FKe9bniq4>2bk7YB-?cYVyElH2i zO@N?a2?tPQb-cl~($LsvH3C9aUPip9g3tC^1Qv@0le^WeyXe~67rf>-&VO*|2-VI` zXlQ8h-Fh;}Mv{hH!`PM7WMnWEuCv+WO))bnep_uq^G@xVx6lwPY~7t`+g~v?m64!T z?YX+L+$@~~{!FBrQl{ZKd$rVRdcklovHF+&g0)`p7{G` zL;8Ul`l&R+aR%-Xf|y*WB7$`HFB4rOLhoa-${A!#Qn^DzCN%!H*XR*Ml>qL$d2_tx z6Jko@-6t&EXAryh!*v0a3=B4FBnV=El8o^ZI2w*3^EVHXD#G{g--q(;;y-!(_)Qg5 z5~r?dX}wNPNjb(?pZ64+BUQHjA3r9?AV?Vvx3o`V^tl=|)qei}A=TdLcyr~w z$C+%`PC+K$8-#>IT;WoBbN({;bU`nuZE!Z`o5&@%xmeHD>9o<&dk~Jl{uYBAzcg;_ zkUcn@>Av!!IqHSuwEZ zN=E^k(DyL1=g_yeW=*tk!*43Z2=kVG8@9hc)tW{tVjBwq(6qGon9mD1ciuieSWmx( z#pRcI=Z6r4gPk6a$4sRpE1g=rGnBQu$UcCbr~mE} z3-tei2-j;eDcK?Pt7`(O*`0M&(yM76y#}4{2Ow2S@ztgN{w0;pTkB2O(&?~-^%w~- z-;g%Jkd0untP-h(zEY^*RwHk8yeID9D`+r1?Qb-xqxfh(pG)4;Wx%XSFUod_3r@ZZ zG@3!~xNbuYPdaV5iraNVVg+*Rj4IxBW;GxYiO8ACd{M9W~+YW#fr=$$FEMJLhf6%ygeR$2a9?{ zfnmc$_NTAM-_L!y$`TPd-yYVcWwn`q(ySQ@WX2$b=SvMP_NcO7<0tY^{z)4vFR@-!N^J%?@IdSw3XpmzjM=i%mdw@{X!z$Z=4yrS~WX#q~97&6mn)Z}Gi_yv!T zEiAT%?=^Mgs&U3OHE7SvTl{o*gBqjg=+hbO7jA#8vcFY*F5RLxgy+EI zBG-_Lz(nJ-=Y_>@W)$&fcYPF`{UU00U{HS|8IcpeCh{x-9V}HZXk>h!$m;s2F)JlU zfRAA4WRZ#}RX@93E0fr1O`;!xP9D=CvFVca%~1!FqQGw%k;eZ>f&3+ zcKDDi{;M#0f;eE8MYM&xwFSa{X_iS5W_dMjy(E5H*c> zyZlrJL2@4>#fe*#vO+$pRS$QoiXHbk*^~{_j(L!whY2GA&6)nUZb!d9oxyC(pEf6% zcDYT9bAkozfT1MEP<4u?hfB#@=gTlv?iFpPhNkBoEEK_S`4z3jm6sLhK)g_B)suhH z({hV;Y#a?X?icaNEse^H+1Ks(r0rs;=0)?*v~_Xu4_ct-$UcS~^NN*CgS2bZw`pv~ zw5_(3sjVf-%H_vpFvCzFk<6+4y4BA^w}r#t_C9;Z*ijJfa+Mjb`%~oV8MiK;oZxN2 zh~WNo!WaQT?={b{gCS4hlWUh{Xg&VCZp&gvsY9M;%q zUfO{ZUs~Vk27hz^Rdkl)L^3=1-$@&1?E3GT3Z&}hkWH6t#*8^qK$m6Q_~h4?R8xXH zOTBVQWTQh~=S%yPKY^Q#Q=-6dybYkcKE)qw6ogaJqHm!ywqt{XV=qgDS_$Blzh*a;c7E`g*DfQ!UXzsN1R2d5Tn}9d zW^$c61WU!72u42g(zRD)%eiFp%6q!~P~LS~v<;(%BQkRaxy5t1^e=*=Jud-sP*aOn zw$;6W=+M;C+Wvg`#`UNwxIzY`cu(&L<@%74S{ciRu8eo-uQoJqH!*;F%a=ityI+(+ z+#FE<6CAg+r|}Mk+LwbSs9-1NbJE`1WGjRk#gyuDaMabz9N$8lk>kl+40?_z1GxJzV(^0b^C-BS(F4Zf`A39N$OfA`CK|A z&dBjauI!l83EK7Zqn;es3SYXymoM^HJI>Cj5xk5oGBUOiwMNe>&oksB!|fs(&m4Up z7dtAp3`JTguWBl5@q@6+)9@Bg)OW{S2+#ol`-qPoy#-}%vB`Vu1mFbWyIg4I~0)(-a*PCFWR*askDOyNzqB%hurk(Fm+1F=a zYHCWkg=<=T+q<$pS2*35ShYm2Od4M!r|8Nkg1W!gCR0dXu|?R!hYv?*W^&L1#A)KY zW`BhX)?@o0CEU_8S8bYn)Od!pL6!Vx=^VhFx&d$YY$Inm)KnMQcbaI&9F+?Pk zDur!}Xg6A#qU%{ujm3ZGj_h?pikySO5F^3Te66#agj`bPn`FDSQ&y`ZYj>B{-&sv# z#)Gi5wy?37Bfl1Ve`R3&8pj+d#Xkf{)OR)J`$3{0EYvvt;ab4qn}%r}+bRcPG5B5& z;tiEqiFMD#*}+<4fEHW1u~o^Ro>4<7V`QdM!~llQSI7g{vF+f3QP+&A zFSJG&B|S9&@VfFf_H8wSxqoC6eYAK_Pw;~|JWgGJ8)Hjc3*FV;nm2en9 zr&Y#)Pi~v0kr-@75~Q8?#e`v72>*C2E4ack3IgUnW%pNDGuBTza{niruziF)*5_Kb zBGBTc%dCqMgA68HHX{)HVbDVuF^FhQT|w<(cKFfuq&Dhy0Wqb3W`lzx$Hs_9R7yqT z$cfMWU7rwxA^Z>xZFzN?FR(ylAWhqD?)%i7Q< zm;a{KeBd%VAf!g<_R0iaMLyiU8bPdzHb367XkJ{Nj*87bIf43T-)G3<>w!m)w|s+S z;Mii@|0EJ@#CSx(>X1mFsSV5jBobxM;oEFI;Tr;BCp6f&{f=1hsPu$(jirni7YQNewD_%_;Sl5jnk4VwtG-Wzup2SP5YSRPiw1PGf zj(lj4wK{{`7JG45VJht7IPps1jC7?6m&H#@h&v{nFl3fRS}U6CB21O9XT_5;(y_N} zr6B((IE+vJx}(a`LTPT$z;{5Hcfi3wHXW;JRC92$`&{8$-XzO1_H`>hWB!=E>fJZ~ z-wkq}kwM2pJw!4(Mvc>^f`!Hco9;cu_h)XAD(YT`;C+b}kLZS_VM;Ef_FPPrO2>rF z?{EBG{dx`#ACwdXz8&wh9!pKPT^(?h9kjlb9O5MWW!M?@1(-Y65&Zo$!`T}?-9>>_ z*8Vkp_B#CD3TUUt@rZUl`>cMoFlhb^6^~Eh9Ch`|rkog@ObpZ#4|2+CeLbr8Kc*4w zI5(ZCzT|ciR=9AQfZ3ijj_!5WU`72`vl~TP4DD9SB8_7#FqgStgdl$;Nse;Wc3p?Y zU+^riq2HF{G5E~hi-37Sg3*>ft@e^9Bqq8JGIrk85wJ^TLipqy53k3_S^Q?Ay%Cze zV_y4@lHOk5mI1TB+3W|Li`5#5&c~6ayDMvTku2vudZczeh7XMPx=$F1Q$``444_J) zBnhehD!;(Zx<^SSf;$jTJA3`*mtlJj5fN>G@w0xrRt|VCE1|d*@I9dbX#%#VS>bF^ zH1Xlls>LncP31_VeaoEByT$rOuCjIWc?TI`&^KQEg}l;%RseX%9LtGczI*)S$pO;> zP^DgprKY`p-TCnFa1>4al3QMY!E@6LfjV^Gw@7J!<96h4|0MIDT?fbT+MTk#p&d;P zjc|Vwnq(lH8hd;72L=X$o<4mQ85wE77x|J=G8+ON1V3Km8iT;VKmb5AOiYGs`Xl}; zhQ9OV55LL8-;;9T*gM70J$FA|sO9^igvSiljg-a^Btmy&^rDHt7E(>E?d|RTtnsM? zq|#a6ZSfd^{MJH7|5l@$1gkv1w5qCEtAuaXhLTk~c{6qEZ>I#}+MfntRt zEJOPw)fp9XJ6rU)|Hz{-GfvNtT#c+yk~)s1*_4zNz+LP{SP~1&=kt`hre` zYG)phb*{5#Q-+)Z>XLvaquRX2f}6eb2fl!fX6GHuxaB0$U?$LBty|pF28G~|FkW}& zt+O=#XX?)9duDeH4jKbI{@`dM<^!Z>IdL;^&n%{!w^x5n(2bc2tOT%Eoj;1GUMy2W z=6Xw20OmufNuby?AyIlb>)fQRcr&`9{`j zA-(SXn0JWWo*HlzH%6OG+ZS9MgHx?-0$tMqdDqcMQovD4h8w8%(qFUNc)#0iVQlx`#)RG6nP=d{vsx1-hR4AcV@LI{p`}>Th4Mjfs!oU zHFPvp9`_yB<+GUmS-4Q1BQHe0#pCVp@mDJCyC;W;cRtfFs!>-_*3TQORDOeYdWP{N z2KW-s-PJCjv`+<=_NO2B6#P-`!V(@c-=1iZv$D(xF4f+=tZ5tBTTggc84ajlUlN9SF1taN8C^&m5m|L8|^ zq+Q#X_c-Z&(VQ|3!R6{6!wt5LSh-esdJ$zOJ&fWq^CriWe;@dU;HC z7rhI%59;kiB=INhMV(hBZ^23Xou05PV)pH{klla*fcN0bRY8aW#Ky}zM#O!LA!mG} zqfTL=69wsrJjRo1E`r<#S)ItR7M`fvoB_&A5fc%q0zZI?J_rd2CV_Wq1&YOXvgS39 zZZc3{TtY&cPz9;^`qs=<&P&BfH=mptX8ank#XZ(Qa4lk~YcDL4WdSuj2Y#s-;m%?` zlNE>y6mH(ssDH^oNkhXK*_Z}1nyQ?yX$$96UwMCoiG!1KDt&H$V{rtg+!D&B=)B(V zMm=RE`uKV1&`_4OB$%%@wmfl~;xYZgbo>!fEFnk#@Kq$*6<)H4_9HTC=?3j-3Dz)xW1H!K+YumNl0Hp>Y-nukx zgz-t*od-7Vpp;9mVN&h8^Wji2i%3lhsQ^| zs-(okbYbe1S=+wA+Lt(t$fc#G8mzmf$h}ZAGc$W%|NhYtyXkGbQrWSK571R#Ex^7r zkJX$Hv=9$dfD?q&kc)qUsnlS3`%pXV4!nSMRBIzL!@WBolpxk5!= zKvBEXo$T-Tj5XR6(pKc}#6I+{M(f^mC}AO&SORjAOQLepZ{8VnD&in(aIqV4EYIJ% z)xL44?{Yu!nP{o=FhL_dr=j8#8M$h%Mm1=8$qtDHy@YFSYg^kh=UzBK)oVYkcCH;C z(q85Ex7|Xvo+0~mY&Xa?%Z|d40Yh#+kj?t`Smf-Dt?@okN%3kgl?p-o)3FodwHLCzow)? z*p^UaLTNvEEBpGzjahcQvfFiscUQ4~9l+j!`Y0kSECo`HY}o)Zl!84)N0$SvU(c*7 z=);sB9XVbzT>7Y-W(WU$f3BFlg3q};IFSK*T^uQ+HBC@}y*|j(hB~Z&7RwhF7DivV z>krb9+g}g+J{WqbH7Ah_Bx!=xHHTD&Fqe|-4O ziO~~D#YK2(-^twgaIZ)NrERDezW z%F4Hrib-aCJRDb_ID*$#Rhez=AfNq_HE7?m}UV{=`kFrhYVMjc6PkMeNK~M z@%noEh4>|pwA9c=+>_v*pL96e#-#Sw4i=^mFm}u8Y_<(9lgPfxYL7Kz**#YtVtV$v-!h@}K365xbWtJzN*)?wWnl2vlGlPKMIQ)EAl-aj8N!{JuS0ep3 zh66koKT*5P^_5G!dm{T~;hs|$Lo139JIe3sX|yI(bXLy#8Pg$i1Q4>%BTi0EV>2^e z9W$=KyOZD&_ZRZQIcxKIH~z|K2jg8#S{ZMHs=@Gi8*T>X<84fp!uay5clj^`q zj`Y3hWx(^^-(43n!66`}xeq`aDnx|T2+fG#=0!;!U$`MTa(881c9m70iMJ=kt#+^> zLVmF$ek5J(W-2I_YZR_ z(m0EM9uyxSZwNmSYW(gg3QYxR4+k6Dr*9URdOCY;%IcrxFIlIUq<^;_0Xvkj!G?hs zodUg3XsSX47bm#Z&|e=>crG8H4yFgx9XRhk;yBuPOLZlF=c<+LZE60#{LwTo@Opp}*{(}rz|X)h zBcn(o+$Hnx^k_u~D$*`>6-hQGrUcmOb&7`_)$4V9ySo8#p{e^G1^FlRH7|HjAUjeA z`>c4v_W?3xH#pz2Ej{;|wR%xia@FQmPv2!^K>|EM+dAI2hK3)Yt#J9>eL*bl`;{&b z*L9?7VuW5ys;WbkvsdmOyl1{g1!Y9_NiH-;w`YJwfhWaQnhn=2X7o$Uw)VD zya%;XN9^1Cl%k8a5*u>hgI}(A?l7$v^kQluAt7cecnijV%BW1g#;=a$snpVgnf#rM z7f~<8)yIc0`K;UmnQZrO8YKV2-*Ck^yR!ZqOi@u0I*Tmpp0}1Qi4Ur(tB)BDdMcO_BUhjkaxrmGvNtnu<}nE(n}8 z+qz9UfXC62qzF&LEWSNRBQ5*N3Rx{6H+ho3Jx~1@;n1!6ExbDtDEHM(e6{~|il^gG zOQq>9gFMUd3tqH93-neKrLqpor{Z2THo94Uc`medyY~WAE`sHLP9?cO;g&hUnXH>Y z@a^rSjD&rPtK$PXJ~oi zWcs&b)Ez*qzGG-WPpCU9+Dx%xMetcJV9I&z+G_NhbOsu8v?5>(KnPTmA8&YA>D`H? z)gbA}TK1S0x}aGZ41AkvERhVtrkq(@x+ipAd6nz&*TqzO;VRNMRMx1>hE*a&#wkR0q>pE7XSX{>CSciz;l#fxGY8?vCV>w=pwBn)P- z<*abVpo2=as{jzM4QRc%$4eptOfoZcoA+h`0B)LJIdRvUK^7ng^`tp0gkur?GS4we z2JP7Tzw>e2DmtoB$J>JvC5qYDMlv)F_=E5$pC2%)>K$0ir7M5UY2!NJ+e>myUrbN~ zW+8SqqTyL+(!~Q=g*ME{J^b&mXv~Qx2*HrU-;mmXjuQ-pOly;LtXy71DUq+c8R4QX z5qzU!=#Hc4IPR{{bKJ0vcbp{2dl;0xUAdl=ZJU?E*$USQ%I~>tEC3ezn=B;xbuABbqT^N1Jne z;{FLmk7K2Csh`RqRJW%P15mP7I8P-LQ*wPdPtp`4()?QR*&908rb6q|Nv0pzdnY@nmeVdPspKJMzDoUH8BgM@ss)W`{2IDYPe@Sfrg$iS7S zL2=q6fP^D}TWi;}WlQcu5{}nN!@P?MD;fh14e`kaN+Xua>4|2Q`4xj z!!izDnYXTq8S=e|ExIhw+KL9hjQmxYG-Ex`fp+bnmODjDtG7UbD)(5CPrrvh-$Io| z7fGhVD37ds?$RG~bPzv{F$aYo4s`V4QBk@J4hut z?zMrWB=`g85Z%zs47af{6xT@EAx1mKvjOU!9&_w${JrNYo6@Q0v7e?)5XJ{*F^E0s zUnNqE?^~}U&2bVL{grOi-ZhZWmikGF2>%5J6UG& znhXbzCmh9($b^ts8fubdDBh*A?y7v|`qfrMFxAEdoCQv4SPTPU>`|{q+c5?!`OpE~ zGTD=_=g|D7j~*XfF76LE4+V+$cJFL-v3CN<;)XuMowa}DUxNKNf*k$sPHmPKG9-sK zos@IV%sOL}BOi)pHcBdzCZL4l5Jx+Fc>A5}^W3O8M5z@)$vLAwQNAG7W%4;duW}x@K=kz>M^<)SVZsP&8asej3uqhT^wP z#{18}R}Mu(#~g?MNze1iDMtzdXzNolT!6M_qpj?Ks+LxCXs?^ya;!)lhST^y{VYUr z3^!a6)#uj2vUm4eRD%Tr(Y)*5+BKOoFz_h>$VViCg*8g$D8uKSr>3H;R_i)b(68~) zc^&@S6hR(s7DgHF0ZFYmx^V6Ix~%tYUH2QlkDwU@YOHgA2f1QCp=OTp=(X8OyneD@ z|D0O+rZVcGxYuIQ7=G+5f;U9=2U~s7k?;E0kxx7V{2LUlrf@i@u7N=re$AM6NqY(1 ziitLL8BUhn&B$$^-o467K6<|?MH;Ty-6rF zJh>&P{w#Y~JTeCB8>VGh_g(-dZh~6n4Q{YLUw$`+Ghe|XuBk~o0iz{SuBrll2m*L16-vLyIbeK}sW!gL5Q|V^M++A2vFGO(6 z36}Oj{e9Zg8J?6^oPQa_d$MK#-RcBW9(sVDg3BN9y#;+tsw^XqbuJc_qtN8GaxAJ@ zI4+Ce%N$kzhjLBpUctYVYe7KTA#AGu%{2pM{0Gy-1VF4veEd(Y+4#GGYVfGWuH!)v zcSmtkf@r7{J$WCl`5Oe`6o&r?mh3wXgW4tX-3^68@gV`^xGP502=4~(xu3~7O&A--0`*i1_Azt zG#n=P#DB;567Th+lABl|I7;ZHcF#uKHnzKzJR#N39MFbd7&r8!P_^Z| zrtbCRWI>(uj~I`01j`mAlDV7}$~Qj=OjnK0`ZJ>~@08f9%qBGGaP7ORjZ?elXd7(> zR;Hq5(QwB?UO)t!#gpq)x3s0duG2$e0YTf-X3wnL;41Ub6xwB30Ig~d+ z-koaXg%(h6BAEZ?ntiK5nRW@C-78kfpMnbDUu8lCH>I})&EC7RkT0mh91?N=B$(|# zv{rjgR5Czc=uMS5^RFN~LOuUuka||og97slN(UsrCF7bYDq#*?*$b{*9XMVIC_$nq z7#@>D`!B#@Uix=?8B?GPP8~K3V@3N<(c0F`x`dGLA|oitILKfILlyrLtpUI7%EsSs z1#zqt7=C0YKWSZ~>kF9>o4lP*rBYbrya3EWANUp|=$_6tEp2CwKkL*BY^mkXpxyL2 zJo{yI;vxSMt*uBe|C2;5Lk*tz1q$!w^^VpdVNEu9?DyVW-2>6uK|ICKp`>UYjMOs=~$mXX;<7-|4uM?ol`M)G)?SXDB|9vZ-sMne` zDU*}|wrVK|9*btczd4W*DyU5Gl0x!;ipV{RlPZL=6TLGOWzF+DYD*b_2*c!@2j;!; zH-%YXaIiMKLlN}d*?8CpiDU}AIkA8@jkVjW@CcTelvLBqEd9!rE4C9Fh&|o^YS@H9 z!^Q#`{;8ow{iTau7+rXmRt#?xP_W<$Uo9{N=(`o;RVz@BMa0DDFL-Eab=ve3A#-2; zyI|iiwsQ8Xc6>`?#(#*fp-IYoji60e7*UB8Jp*L+moHzgL|&JZ<2pMs-K}I48d+h<&n9sZWYjfvVr)`5rHq2w^-h|Rz+yre%wysz)%)cRKTqZ5QrVb=&|bY9;(U~t%QX2yd$L1l z0JoTvwg)zNV8U!~*d19=+;}D;8?e8o-F5+U4Vasim??69 z-EB^jgysyB^O-kT-`))foBSg) zItCyTcx0g?phb;KxgIV3u2Re8|#)=?sGO z1+3dW!{VXu-YE&uckdTZfuss)R6Th2E_={G@^=l-JFdUa>s*)BfO(Ug!$T11>Fw=z zO#w-_5bZM|H*SQ&D^gPQ=iCuDSW!KUxIaZKVHI)1J+(ren_^;OOYWD_N6LPF`}Q3E z=IY+AmsPW=Grp5ESrPi{u#>YgR|M5~{RadgJdgf=0n}JRR2>`&FJAmzMf;KgrwJ!W zRbD=D>U3>5RA0*<#*y(!db26`MKV4~qVKj>Q&hADYFwS?2QQvz?99#0Gp5KftRB@y zPp+J?>BdDI&3R8BSI2|?dQU%mN(!hk#Dr##kOcjWm>EoN%7FokyiNkAh3NR>KP|o} zC6y14+q09CufS#c`OYQ=o{(e9%f;G$7@#lYvh(w`TwULxB2)2~Rx4|3=-;FhvDG+# zx*gDXrR$DqAt4kD;?6hVNgbG=!fE2=)Q$Z1{{B2kuQd+fbqEOwv$5DNcr2_`|FH2E z5~5{P?U{D(Vix>l2A=0lPfei@W}V@kEsSYlYpYC3N-FNNRXoL!@36gQQ&L(w(^u}~ zxwlh}@^2Lt;@47c!QV7@bw%H=wgPyoblst3c=&cnaq%S3b3s>Gw$^52EUm1BBqXfF zX$_wD;+SU*E1czhe0<wT*k28AKSUv|{l||ac%{clPW0yGA?g(5j-j)w>(`ORovALk3)GV5 zsGdy?y?hkB)>P)vrii8>M7aTT&wHrSO;-8-6@{MksaUKDx>+({+fn{2DZwF zI8Q4pt2WTK2wuFH92$C}&0)y#luYh1a09i2`?9s$!*xeG+S@r!lUSOV$k5POYwVXs zd^^ECvb=eUNw_(j5_2mX@u+fxOO@c3+T5QoX-> zsQjv(9hT3iDl;(fC?P)H>dK0J<%T+C4d zge(QY$1!~zap>sifJ2j+lcN|Ko{#{p+DeoL5xx6p3PE1kLW~<*-VBe6%S%pXX>&ku z4hDxnc>f>Hp@0N@_2#BW+Xci#2^^;h&DhwO=hA54=lXgfNy)r>7cIn3Afo;-kw#Ic z@#j@WSa?aC1uP_bD?Zzi literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/image_preprocessing.png b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/image_preprocessing.png new file mode 100644 index 0000000000000000000000000000000000000000..4e46ead8ebed4ab5cf9f42216e0389371eabfd8c GIT binary patch literal 318266 zcmafbc{r8r_wPenHc6W(MX}AKOqC%Sb`mmf^N=xwBs0mp3nBBADIuAs6lEs!ER@Vb zW|=ZO%kOu-*ZE!Nk8}2Qz3+?7^W4vUueCnITKf%DQMyNdksLvg({i%Xcmz4Ii6BI@ zXkz%uHDWvo{O5!NPEH+-M*o^n9*1u+j(4>k)ojfjU5xF`5Vc26j*e#broP=|2*QNO zNlU4_4lO=#GoqM1@(lesvN%&!QWPl793CVaAU!PPbmgubt%gvB?!6$*98TT5-aZd4 zTBpb|Hak`-oV4$-|8UEw;L6_KREUlAPDa&-c`>iT_@tk1vq|y)JjA`v(8xCREJT=l{4Vq`q(QL(*#ZU_l!Ejl1I19^Ib1%@f%;aKMvumSUd zxw*M1UWYq#uOEDVGE(XO&mh@a#C3H%UeLnIw%lWH3;w{c@~fu4{`23>;qC41UKMPK z+vI_mza}cWx?f!Xn)uc7S#&a3SXdBLtgNh_Kd*?5)k?T&W1v94w!U8Q;H$a0`MC=h z=9ZU7^B>$oPaFxKcu@7c++nuU>C@i!Hrm(7*cdzNg4A>*2$kyEl$dwSmme+t`W(t2 zV*hXXL0XUS^X=7u0Cdrry8+vu$J^rtZ@Dc0b~9j)eDU%n}%1 z-|7bPwy==z=FOY8Z&!-@_mR4?hlIFHW7meleuy5f3NlQ+sY~7xDXK=>oQ(L^eG9$9NEIm!g6qMaO%`4H9S5pae9E><0Rt)Ap=(8%Nq@<*xqU!AIWcb$|_kM7pq_{X=zZ|crX>M!`Z%oY0oWzQ`EHh+W z7Z(08Ft9aR=^o2#NJ&QacVpw>t@G#4n+9ueYdn2gh|l`IuxV*&Nk&GNyB;EAnxmPg zudh#i_U!uF8pEYackbL786IwJYg1EGTVG%A=;#m>5TGHyD=kg%_xD%l&KpTDE-u!C zWUFxNdvsk?RP>YW*l1(p$yERJb6Q%1L?=%Eo}E2ULlaQYE^#VP^XsFYcb{y2Z7u#> zC;K`*GXwkKwX-(;>C>lz_EIekjjOsJKNwbf!Wnof;c9ZoqvdI-sEp0boc?sDuFrN= zAMP$3N6%Mh8%M{F(#&oPd7s%8;@)cJXyt0B_B?trS`nX=blbR&;4gUNrCfuDlZ#|$^w?09k$IVuv+%nm(tT^O z9E#iCzm9 zOV8h_ra{;#_<31bS;qa?XRfY^qE6Xb1qQa&2V3qdm0FsbTb;L7g6a5inSEDvihqyS z`q526&MPI{>}YMxE-P~#t#F&|OtS8I_aZ09T3h>vH_?eFV^s&=&KnliKJQEvsj8}a z@4$bt()I5ogt61|uv=>smwbl(#-E-`x16D>{Z75(|1K@fqBD^TT?hA!O-^2(oD_iV z>rA?JpEcs9%@D=K>yO5&JZ5HQ)ZQzUJ1-4E1neIiKqOxYmmSD|;0`N*YO=Vv2&ZN- zTxM5Vz|Y2J21|qdwE6YPIAS?46hJu#02WM8|AWq+eg{gcsC6SUFK|kcf67E zJE@_i#lgW*BE=^zZonM=yl@7}3%_d}Jp9WGPV z(4eKJwqG5u{qyG!z!ep)x3?FHytmzM{q0^HEj*ROyL6}0G-mXV2xjTHxqhvK7BzTU5P2Ovcc?=hdr~o(H>UB=+A9F5H5^fh2@X zwjKH61hj=HAv4?3G}+JK`;q_7lj!+H@O~yzrQq zPtSMO;K&QA51+w3Q=YH2%%*sWdmZk7{P?k;YL^^&x-gIj1mz?N36Lt=p^tJ|>YZ-EmIr(PLW6?zsy%ND`s;ptGy${-o=L=EhK825Bl)&_)9Xv7O|Ksm zKMZ{F;;xCwBpjhdSMt)ziXk2^;57d|oaNr({(2WcU?QYXsKntTd#2df*y?|y?vQ%( z-Kq6;FHX5E40evg_Zh0S%?}ey%ubgt&>Nv;fwQmQ+6UdR6+vkmq4M;95 z;mr-}Eisd31ODree-y&1dwO~xN#2*MRbN;4L-sf_ zFI*6Lw(*FbJ|Rb|000JZi0yuiwyy5$i#Lu#`S=0i_)Vb-yFh-PI)4qa1DKQ3%IIxQ z&gS9a=TMU2ZXvtA*x-TM6H%WjC!sH~hE89BKL7t!r!8-*n$K@dMx&v#&Fs4$qYq@)8lrq^`*CgU|e za1FguD-9i;3&`8_^xyF8J3Bi-XSKMaAuL6VuCRnvS8Pwg~ z4O;??H(#g39Nq#f;^O8O_1t%LcHV-+INr#2cTY)SpvaH8&0dO@*TCb8VV!_1-rn9& z$N2N778k{AhCU_;*;Z{0S)cSXo@tMVW7GfmNEPBsRyII^9cUQTN+<@f!&Ofw>ONZb z4SlvX{54bU{_h(7d-2^rEY8+d2V1{@*K^Xm5~Z#}pZz8Vf!G>-#eH*r6T}Ww?+0+i z931`_ysmC`-y8+dQKP3$PI>wH*LZm|qlSL|EdTPws&r^_(u9Hgnjj$HWZ0SEM&IG(;PxhwkvvaA!7U zaI~+lPY`&)?b{Eyqk%Zi{QgaN`SMLwrOS!|KnQRFVAzn-4cEiJfBz0lVrOsf4mu@K zng)aEPQ61KEkC`o!bn5&dwCgl2$&)4=?ZXe4CW~)&LpMtbac&M{xpWr8+vR;t8+uX zQ=B?=0@1H}{&QeJGXtNIo?f`|2}*FBQtJj6BV!6sF?Pi_$L|~Q9hW31{!nGbTm=1k)MYtGK$k!4|>^a!0prZ*M0iGQe%mZ(*uL_p2b$fsikEr}|}NOh;eQ zdasnE+tq!ouVb5$>ca7BhmoNfh^Yf$F|5>WeWtQdtjFty%xeY_;Qf&Jq9P(iS3zw- zxB+PK9DF#ga`Zw~o(IohaYP76b0AN&Q@eDgjU({|g4eIp;C_G{yLay%ECbj_VE`qB zpR#h-@UVVb&!43wMRZF?hez>A9Zk(fZBMA1Cr+F&H8BD4_Qi27A|at|y&@%L?7ZRg zRLz{Oq+7E9gHT@p9l&njU}u-Pckf6djiQMJAXr8QFR%CUkreuZsN)9+ous6s%uEhb z+F*D123};o;|mLIGF@e5!lb1Bnt8e+@B&r!_@}_lo9B?HKw^LV_yGi36B12b-PPS4 z0^GvP46Y5uq-Y&X0#*(VA*=7r?d`!L3{moC5K`LOaX>{uNmPMz096|5pWF8jstPKW zK(>MA$jF?;N@uB?KYaLmdYa#}K%JYEf)1RFo?^56_wTns{VMzV^_H;k^(VvIprr2J zy$hsFAilk+DHFs7rcNnIbZ2+>Jp@uh^HZQIz~q7U10v9zKQ9En0chk~x4uH)D98Hz zYrT`%2du31*DrSvb-^~roZO=n%4l31-I+6Iq%befFkS{!3kx&iql3y8!)pi?t?Jq4 ze61hpXTY88Y%9ois9nt+9V1m9x3CTE?T;bVU`?ceMF7P;kJLG7fM2FX9aB9G4GrDA zn*sv%^WU>d+0w_njt)S0@em-ijlmQU(lK*$bDL@k9fMs3ZA8f^zBn@z6CKSKE&uDY zt=G~}DMb6m(k~YvqhK3U@2}kl`KFn(xw^Uyl3VtL|Q&S57Ve$3#AT6<&>&huHd2 zDv1VI(9|3NMgA%%==8}uu*YCreAK;)3(y(F;GDq_sD!K+8hg$X*}|D2pV6BhC3qk% zDCp1+4`5K`5Vz#@Rh8st)ci1bOQFTRPDW>NnNx%B@2{?E2!HvCJL)&;Q2X}AjMEp!a%-3{b{PI z_5f!EK1_}C+*|q#M3@Q((ignFAHXE|NV}WES;(+a__UtwpB5=Q+uIBvk08JCSsQtu zM?q9lp(Zxw`XKlm?d`d*UCY0eSpVn=2q99&=Y?=JfCZqC;K9K`@~e$@bl3n#A%8JB zRB8>$QRa126&pMFJxgtAX(>K*5!e$X2o&7@{!&0K5IP_cl@%4q$pOpp+|i{k-t}cF zuZ(;hG~%lOn+2jVG&Ho@ajqAvkHw`WP#Znza*=?02fGUefU_As-md#qBijNQTLVG@^kb3IU3yk;4+H54tn*<3S^E=|2#Z8;9pG3L)a*1 zo19BXH;9dzni|D~n}Md!4%qeq*1=f)IWm$YxBaX#naruw|3Rs4hm6&gD>*}d>3R4X z(-VIV4GF|vX|jvL`_(d`>tMw|dG~-I#zsd=p+Oj4;pYC){x_C7%b);?w!6H1E4V&T zeTlH@IsF{U$qEVz5ARTCd{j-7fpY~2Cx77^Vn-b)ovKpEH9^KFC>Yr`jmFA@&uEs$ zo$x9h&(*aq)-^jbvpib4_opWf1SD{j%szgLC%_os0xg-jDx9DcemX`ZCnqN+0zR4d zq3YKwETzqD+9zi-_W+c-xA3oWINjak@(T0rP`&NCUsmsXZzRj6_C8TC~Se z(bAed+l+{a03i-|J-@Qz1r-{+j2qSi!FJ)IA98aOuUke$NB2WKgE}q+wro9^e+ zxng2sj?EH$78tkzuU>ueJopk6)aG-7^dtpcH`GMH?qX2QrPkn40(-V|aL@zTh3{jp z>Y48zfI5y(NbuVFX#x8WML#GsbY-w$4A{6h*xzs8GMzskyS4PofnhLHIR(7n3luNm zb~nMQWMV=P6;;(^s}FK%XMOf-d3m085i@vCfQt~2=9RbMz17uK5Ykqg^Zi#ebNOz6 zhH4HAumrH|NxOIEvKSp5-FEDuBvt9e)RZ7-Xjl*lDQU_rmrf%-9-U&8DFZF-W|=%0 z2v#^Th^eVExHd5YVUm=X2#(5yrrS_5Ky%LjMBeKF1x=QJu`vcW6ZzXMd8!O>%iYb*W25JuoSajCB>2io?CLdQQ5G^;K41=X3ez2i7^S0#kXAAj0Kp9xiv7K9H zX9`>wg3+ug>? zLLF!W@0BYF*DZUY(B|ai99zY3I}oCWTfb}}#*>6>lLO76%V7z?%OVrZCnN-F0s=e; zinFrB!9!bHXxMWGjzqj7s2uuZj_#5)sS#R3DT!B3&NkKXqNJvPa zjlo>uYYa_LMM;$bF1U<&d*7hzM5 z#=3v+j)V6c7#Ij_^Vq7AlWPHP)0KR?Z833e&Hk))0dR@j+=mKZAVcr?Q!atQdv=lB z&~OX{Ib`PG4)|g4FyFtc!>+(DZ2sw~9~pU&(+^hmRc>ypZ?9 zMXz(`&h75*4p6$578d^bp4A85_7~?R?kbW^6nzSm3q0`oPZnL5XWVQDaxe5rQQ=^L zu*o^u*{vNN5Z5u~==<^s50u=204Qg|95!=g#ocz6`Jql?=^ zz=VO07>KD4{qsN`ftx36A3$~Q?dyw|)HX24*USMBJd7CI+t~qBNuKra@Q4>}-p7qg zakqU7I)CG$BA~RDRdz;(8N|Pl(OXyoa5pw;vaWR?e8)cgu~~;{ZEw$Id7muqG1Sqq zRDVW-1~mbeppTD_FVhBCvj@AIpmlcuspGM_Dk_C$Z7~4zKo@FiB)5`_$4P^W@L3dS zbm7O3k4Gy+zA_BhD=RC(3ps4H(4Z^>_A8JH z*aN`36wJqAAQylwz&8rO($UK42c;P%%PKA|4so3XISAF_SE==9$Rr@O-zhIJ@)^|> zo3)AEz70M!7&*s%+#f%*(Ww9~_ZU5BE?)-J-LEBO1T8M+H0ow#G!95I>UHD+R)*$t z+_l(yckjZ1EJN$nzI?c@j@T5|GXg(>k_zr98I}ghc_Y1T-0sh|wj8gcL+gRu)F^q@ z2xngEN1gu}1y~w_s%HZ}A2i!Q{tiLm1ix(=t^~aUcnjz}(EZ#`*VZ4ZYiRI$y$K4s z54A*5P4ekekmVzAICAI-VQ57;-*(@+PO_rwvCBPB$1Sz*l!5F}fPK z3I-SARcqJxA(`MYzdhFky}LV;U<-XR(EEM8z2INeSG<$YD27Xb9<2ob8EkKvw7}5N zGnAD1Nu|T!cmWUq8}aQ3kV)eg5&1bfItuy{P8E77#}+u4&49ELdy6Ho2)sNLEuO1a zr|m^@B#&GMIeQj1fkqC)8f$z`gu?GbMSz0U|K1xskz>5A0h0NQiPxX?r}{ys5$cSIogoj657&EeJO08@fSjBq zK)bH)5JVw#W+9HiF^Wh@>3S}`n8`%IXGKj3qp?%Z7xj{qn#4c!TfLsL+UuYp|3)A? z8>diXHymm0e$>Jk&mCyqgWcXdZ4X`Jlcz66#m0hZ7;^E(t101feQ`kBnJ^Rr zlmg}o!1M%^I2Kg+`N_$;Vjk#z0Zo3Bk`ju6C<~8{rfsqV$KI4G83M%$QpNoe1bc_U zD)LX4m~lemfDc+4B!o<3dW zNO@j2S_`QqsGI~m9G)H`9ztujE5%S>ALLDLULIElrViF2eCt-pMg$}mcucJii^1S2 z8lt8%wXm2S%8ZoHsP{huR`?Sqr&4KVRj`-L&7uDbmQzt_=_X)tU41=R9N_CrPfXP2 z+d)Tpkz}mMl=N(QU0q#8Wu?x;MeBk}b8?#F))E28xt4VS854i_(zGlM$>Fh%NL4^t!-K>V|3yb1UE=0r#cEN~6in zoCysG0C56re`?UsYvjFR0yH$W9TViaKS~m)NZTNTsfYJ#np-W+*fD2)}7`L0$s_O2q2iAf-MSQStNHn z766SpsDDY&!UD?~Q1iIc`*WCNiD)xY%9Cr|eMD!4hs zJMaSS3fCeSo`Uy(79()|W7!17BIc@IoSISw-j2b-)>gu(2FcUB1vEAyg1TJ)G6qva zJgHdC72Bq>xCw9rjW%^c7%*ihdm%DY00TBQHZYn~w=oW8%@Zi`P-Gr_eAIK?hRf5N zot`!`HC=a+3ob1!#b?0)%rMA@Y5N^0+u*iYE&PK7y$DDK1si-5NR|sBK@b7;E5PUW zz>Ej0yApbXfVePhV)*&V16S9wK=OSTrf7MvVJcvF1^V7VAb$S%0i`v^nI=XKCrC#D zTySPJY=a$#mTy8{o{g0ichIu?zY!PE=o6EZ#c*+;ub|~XssoVc zY3gO_4xYu()4R|0vVmQl;<=mU+(8C&JJ3-E9t-FDsB{P<_`txaINH`Huaq+D=>|P# zj{H7cQV!z3No)1|`hKM|jko2&Eilp4tj^K6LzYJF?d9d=P}BVP zCBJ_Bh+|fYPpy-&Rh#|(7kdKHzF^|zbu{L=ca@hn^jk7$e~F>`_c@?*vrFpU&e=n? zQs7pA&{$xgzkK=d&lC9!z!m|&;nr4e7+`yNi;IR_tu5Yb(T?TUljC;{yZ=@sK*|7n*Idv4@6i3FvsVHq5?LP|^)4kBkOCUr7s8~E?= zF6ji)4`B8b&Mzj~5q6}ZvyYsNM{Ja&k z2%()e6BXMw4U7pU(Exft&+I|LRScaybKd%L^Gx&g*i7WJXUe^XGg#~L{ z+pgjh@d7XSVa!wTwrZ{oJN-;ampI)27qEIP0dAhF-U-}S9M~~PcNp3_o)@~wpO>Be z2J{wq@=zs+Pn>{k*@3V+yq_ZES6h?F4HTt7(rF0ZJf_4$Lr_;YHK=Fg@86GKcnhO@ zP$F`Z(1*Up=H^?yF*4p=RwC_Q43J=v9Lfge_GVDkH=cQbhYvG>koJS1DaR_^wJ@kt zr-A@;hJO55gbCJirzrVp@NAF3pWWTtgTcQNaLa%zL!S%rhWKllUV|Q!=+=RqSD{LKb{T-l!D<)E-tRhXPXx#JjK-hgvhWo3Ntgm11wbd zk`@KL-}Yzm3yq7PpbHI+Bw#79ede8sU{3%%e}@TA=y@0DmcGJUSz9N>#?DSnt+#Nb z6dEr7`n)pT7As^kbRAq#u#dqqW@lkBt@R}VRp)GPUq`2JSG`v~3=!^@HWHVN@;aV@p=qX-8QyBKq{Jxomg#*Lv z*%-vbH9a!Wp3;5TgK+6r!!PIp;ZnR3>s@+o;b}4 z#Ss8oHUl3hZDMY&>CT@7s0>CJq@J%Y@i_@ebW3Y1oVS3GP&G7ilrq(_)ZuSHoDwk5 z7Y6bIMh;FEhRyGn?r-!dL-*_^7>F>Tk&*%f#v%O9PoEmi2U+%VU%7Hj{7)^a!f-*J zX2D=dj;VnuTmtwI+%I0i{K=Eo7?W>@Fa!w19{eXuORlr#&^Fk7RtX(=XmW5UB{mZ@ zGVm~Stp-9+LjyG7H8k;+Sq`)>j7E`vn5%Fl`5>>M=p-&1eH*YN#6$f{92>1Q&-YP?{P>;y_}4Vu)y7F%*OS z0@Kw4=74~S!XT6#G$=~X7c{rF3S?yXkXlk7{gq8WZ~3gqYavvtOek4JW3vDEzas+} zG>MLhdFJX0#wjSwEr={$dlJ-3fNSvUfq^CTtDU!PoeE1yfziyi=fbI}sl10u2c*Z| zHPpvwP;%PZD8O-2(!oHCyBvHn;7wv;ZqFm_)qgoYU_L-_9QOyn=LeO!d%je^U=X_e zFuDSRC@)FcD?T=`fr7YsbHIp?GrDzk^{HC#>ZwLRJ$NKAVdfwD?Ym$uU8;oH1@Kpf zL1_RG0$n%5YJ-1V2Du9PtWBhLGDdK>;?9SoyTA9`j+k=Nz8#t|ULL_+_NGnxKIizX z(jc=Bta<2HZuv})EjWr+Di!4IsKE~p@80JfEU8Zss8GNVT3h8mMUAwHIUZht0njQ4 zX<+`)%+J*=oo7r9#^Cy>&oC#i;z5k_u(91`k2Etkhn5U?w7gntX}~N2cm!1O$!Xin zq@)K>*9?kC524C}O$C)yABM1iYNgx@_n$>UFv$nI#}i>6cfTcS!)#lqa`>%F1OWKo zOfJEwsZka|)UR6(j_O>C{RdMjYMDxtn1lBCzlLjr&(;*wL>}PKdc$wnyr8kL<#Pbd zr;w9UwtU|o3(`4?=4s|=SYL+_&grrGcrh==V?bN z^F@{0-LyTVNn5fDjB}ww)np6qrpZsA^j+5yB*V+6;~#U=u2R5s?Y9^W7=^h5A8P=S zaNM zVpEuYlkK^RPQ=Dk8+DC8nvaBl7VDx9sbE?a<6RZ&I#prxkdZ`cJOsuS7WEAH$fNtC zd92j)@-@Mch2tyTt%Z^52YLBFbxT4G3cP9yX4TgAV7vp+1VZ)LQ-p46u3F3y%(y;Z z(`{fjC@wlQT=DFg`v|PhebfS~8HgbHjEHDsIYmXq`}a-vlQDP|73fQ`qU&Z;cx7Z~ z7ISMwUfkUgxIr)=KS35jzw@4;!i?E9Qjjiu`4lft_VzK`6?v`+H<<@>DO-rg(|eXS z2|gI|4+!Fo>1Y46IB*9YD0%r^1x6B$^<7lPaS<@YXd>h4GuS%1BAfSprwD~HCc)?o z;#6-u!ujHcwQcR2HYSAF2kk3~5F!11M$Ol0$vM5FZX^=p$h@1?Kl&3RoC_D4MNv}P zXJyE+u1`g7NMZ)|$$pe#a2RR!Hll&V0OH-6hr~39EZWUTv#<|`V3@-2bvLPT*soC% zS4rf#us4#_`gGJW7->X>pkfp0M@-I{T`qcaNviqdRkX2<-YX|^LYNAolgPRkQCX6^ z!nGG$>>yTVPr!I%sO8D1kPOiz-2&d{m-h_{22c6c%nL*BK7LJ{*Px;d&^`P&hQ3*Gm)? z4t2ABa6|#ctYUJV?)&^a@H8l`R!+2gDx2d+^VzL{EZOs|Z!Tr${CLC1`)2HvFP!uE z%nW;M8}#1cV_sd`9?zcbg0}@TOdo-H!tCc?iCcfF#mX;j+MN6rn*CzjvcP-5>&o*# zznUmEHmzEl)@LgaPngKY#2{SQ=HIA?{VYeRV)g}6mBF#$w@*WHozbRw1c-wl4b~J2AWzP zdzS{+D$GL5$%YUkXkLsomUq>A4MK?u37{tDBB4Qxok6Bq6Lr&Kje_}qlUzmu_;7Sm zC@vC$Bn}~X<6e1tBX50cuvrS+cNu)qSQOpQ8+2~L7*=WaSTw@ z#)q2t147kL?{uYX+AnPvKdYSK}8Z>7r@+b3Mo2#ON@vi-5;ii zUWC;n#waX~4k6=b=3b?dBoy`3oIp@S)Vij(RBBEUET(SGV0_V1k`$tprf4F6eqZ#R z01PUOoPhUr^PzJ)LBN<$-Y@KtMM&t31FROY@G)X=gX(o)6Btpe0jYvv! zqG&KUrWXQSlWw5gOjv8_HE0-bkIg1cwlSR-@!QXf6d?0E*el*l#-(bPJv9c%h8J`^cYZTJKx0*_y+q3O zLtNEzG(taN28_?G`lLns`ft4mO~qoED5$=Tr^=sMRW=mcZxcd`Pi7zWSsY|$o+p;| zQ7V8>0D;|?o12{tUt}MD4PR{A??lWtujot?m*|@b#J4oV2!uNf?EGAd+zh-!yK~Tn zovpdIbK8~m%_Q0Pg91vz(aQC|lDBVg^@LhmR_@}TY%vS;{?Lv1C?m`fg;&d9%2F47 z)Xfy*y}k9zROI!qs)5NzA2apZ%wsfTt_VE2>c&fCn_T19hcQMo;S_?{Xb^4{`8huW zCOWCtQ=C||NyAA*o->06BN-rx3Seps;E+KuXZn$8GY7(9S&D+OwCz&6f-8717$)GCUDWBl2w?HR$~Iv03Wm^TYrS9J1h0p zTb_+hs>WE7=&r1Hdj~NQ7R4NlVN#b2ASd_-oSsMSGZDO1h*4YYssR{pG}dPdO-%f@ zf=QB6j)^&poQ{Z)qNN*$OATvz2;Mt%P`J3}>`s*ixZdC#Iu(|o(2#TUn^)E&GjMYj z=E%=(?#2H6@!|ZskJE*tl;2e`grh&aJsb^UH5~qTy8WXR`^uT}rWlMChiZFTdTIm9 zDHXnZt;d9Pg^#fiAfAA8ps`Sv-`_C%fmeL&e^mBior1UeQ|R1_()4_?J?+M$Sc_b* zUr5e)1Lw5ilaV!6)UCn&{4c>qP0&&JSf7>_~>O{_f;*VREceOnK+$E z1NqOy9YfgprcZ=847s?n-94HJ2--=DJqNb0x` zzdsWSgAXRE(u>@vv{uxeh8c9kip4vEKL9%f-Vk%aG5en;#&=K)s0=O`&3>MO2?2_Ek zYs69*DKrxi4MGrp9jPKuhC{Ou$RuTb*<_MQ39@Vq&zL+-W%>O%Gl=<#5e#$GERheI zB|udXeah?>3n4t5!&enS|0SO0B%xtOW8NXm4N~pK=R)uB^IvpB_)$Ct0XT0y?>G|{ zBEl*iG2tx}(vD42Wg;*W(9#%5%KO3;WD}f{7%ajm$soy)0W%hYen>iG6kcZGCB7QbAHEr_WP{L zZa~~E(qInT$Eq`m2Rf+S1nr&lmvJ8xkMjBq83Il*kg@Ng z?v2my_7Vx5`maz9>fJ1y&FM-sDh6eKMQpY-7#TW;C~7Iphj0!VV*Yew)fYif-YVpn zCTu`JxC-tEop(4&N)~0s9=j&P^1`=RAmM!y_|1T<9^WlD1jP$_>>HE$@C(p=%a^*tyGxMn*_TMBu8o5Qb z@MrbC2~}w0wS77Nah8bb6sPm!hGOEFIC3MgLh{39mR-jOD^pW_-~@p&3U0>nXL2T| zwp%L=HVR}ob*s^rv_pG3uXiU@WxTConU**iD1AJ7d^~vv_A)f=K+A%0yJu}l>Y(B? zjYngZ1F6tgNv8B)?ILJ|4Q^1lgIvhCn-sSc-5nne1n-ThLj%H}p^~DhnJs^l2*^Pf zvtFQfEk((GH;8W9zwc~{WZ`^Q<>ir*wGyMET=G5sI4>!F9CCk{?6>_EUm>lXZi7r0b)Zbrc>pb{)uxhz^zzzU`mGRjWSuAA*(MRaa}l_F^;p2;UyYPsPC3VlY}9XoF{3BB{|<>h$)JY z00Ud5C;)Vls2WmUPsLtNB5!JDbQA_hWwdw^C(9T`i9ur#bo*6Fv_I1sPNEu4l~-tD z8dWqu3PU7~_9j-wTv=$DpOtJq1tpr_n@*sYC)^0d|CR>JgpnkQc#6lN;PasJSX{uj ztP?mA&Iw^ZCL{pmgOGE*^``b_Vhx)mktCX7!bxHfEU|PPaFH51J8!=zYI)AofO-fG zsvdeSCX9)uyFa-%M&7&Tlngo3IEl}BK7c*~Rb!aR43!Uomg*fc@V%0X^94dopfaD> z$1ouxTrn)2&GaZ{$zT)?nc$xRL8z*B`jR}NjFJzK3}8}`7a`ZVe2x_JGOE8yDk|*F zk6lt)JM?`vcH#^aadU*V2mwh&@tK}9$wH|}TWi{4&sd46F$Y-FRP9bq3o@Kcc~`a_ z$&r+4-C{U!bLV_*Z}#Ywlz_>DHY=*5Zyvi>X4C{L28-<{3J&AR!cMX;IG%Z^9QnxO@QTgAtWC4{lQJQ*d@=01m-tfi&r zU0ns2&!ecMF}QYWZ8w)>3Q{H_Q|UQbAFmULgS@KZ&%2ZL%yx*Z&m$sc`{c*zh&= zrC2CV62)h3L*p7KjpMo^C&xJsXoAB9NOI!Pa_LccpIH)lOdWyv949!8Z>7BvBmfgi z#kYo%H9Ad{kxTYlsz{NX3RIaDfq=ttvA*{Sp=MrCG zAfF!1NYG=tdcBq|@RD>nClj^rBkyy*snbejEZ47xpovEk)k5w)m{Rv$>V&bRGc+47vau;SVnkhCnzV-@U^{@HB&4yQp#l^C z>JNQ#PL$C|p1#qt>?W*UNBJc-!<-Q2^X@dpQC23Rq!m8nNEJt4CNH4pItjQh%sQQun0cFf)Re<4)G9d+5sH#l4i5+y-$4OD)_3 zvu7oIorpes{WkQ^`SE9qg5p}`pSrlWSv9&?WhWETn5y5u*F3qm<^E>Jl1evckOodg z&fHtPAV970?zbz|P}{$k57E5z%0=1-kFPODBzLHebaEm&E^*nS({ACIA?hZk_g0EA z3%>{ef4DBIp~}-m#^ZLs z=wY{Uv*P3j5tox1kt5T^@&CBe0}Cscl?n{w zP{Z*yA{*xiwrD>T3~cjm?Jzo47d?~HQs~1^@h~s3T4vI@zQGlsUbCIH>&0eJ_ecgm z<__!&ba?eyKEe^ygM-p9?nIucSlLU$J~KCoT{}cnqhAGwJlYxi(Xh7O5SaQhX4UK} z7tP(QTioF+e7A`bQGc~2lnG_%e~H6{!Gf5!3^cu#c*>^Z=mX8fHj2o1N~C^**wbi} zkkg!5-fSki`3b&-7nu;Br}Zy6<;$$B#VxIxHxIAS@0p#B>TCIkm9i#k;9(VH${DE3 zaiooVQQC}&;CaMaB9}&yptUJ@K_lHexK2K#4^R3L=X>?uGgb=5CQE^%+?E25gQoSq zg3C=;h;Y2=Ph6{)eP<8cKI~03IYeIWSP~fTOnCCJEG6iRSHr*1DcTX2Q2!dcJyMq{ zgMHK5*q;)uJJ0`h*%>t+#9&cN8L4)+F4g3<4;^9)@a*s1`xi>>qj8dG&U{J*Uh01z zpLJdt=^#(lpp7l1R8ra#o}Rzz)7jdur=uqJ%{=1{GyBVJo^n5A=rYYc?0ZC-jYzj6 zx8*}^w`9Z<-uwerZvE4ra)-3P1}c_voB(3K8V$kg8T`YF zBo|+O{Te&PUfYfR3qb_fS&Db0|MiM-IecKCk7k;xlgXM|8rUXnoIJe z!e4DR$fN$=^P`{oZQ@T~ddyiJ{<}TsHPFD$`s8SJE9K5X&-R|vQTtE#e+B5mui-`Q zKfiJ)7pZd)mMdQD%fD*4+`cS_tTHby(azHtwP^n6V-vZMqazq~QawAHIn3N}r`Tvk ziQ3d|-ML$?uq&%}Im~XQsOha0kD-Uf&IXM%?iXE>utR5(F|FKd)f-kh;d9)T?qXYs zG@4>pxx%hoxUYA0BQf17?^f=cyF}JJ=`|U=gDnw;IV6^WJ6g>)(UOh=i7#BW;_G`~ z4a}$e*pw%yey*?WOCD%hZEEiwFb%$Xa^ljhcNgD0>MDO%EB$SRLq|PkTJ?5+Ljb?% zNnzJF@%Kx43sj1vF_%a?d+CbMESIqHPjI+*#CL_XW@4?(D9b)wG&Swwm-nsJXyuoV z$w*-2sA>9}_;Xu4t!9C&cqPzw^xyC2Db7bHhAvgD{e`*D(a_JAt(UbZ2nIKuy;ee9 z4{zHiZB}QtRvw-xsJ1^?x^K6a{rBJw<;>L8Ro#JNG0QWfv-(GgTg$_abrl!JpQq4= zcItDwE%Cnh-nMQYllA(w5&K0elZ(?$rWCa%_p4KFAun>MK3pZD!Nf--P(+FEb@TkS ze!ORBQFvS>@4E^M?~LaXB6e3r0$wQ%-QTX2#CCSkM)nVga4JX&x&s~ zKRj_MzUdM1FXacRC6SH(j%)H41dU4O$0e|$=){u_bRFI58gwWnlCtj(aRmIj?^hot zou|!19~k?;08T-%zJE|BX(KBf)&bnb6%24%^#JoUe6Q9T2t`s=LD8MgIE->MMy;%= zT&b-b)bdD%BqY9K^lKZVv>i5bON!KCY_=&5R6u*SeOiZL>}YxJ!~~?2PmVxHFUwJ` zzTVVY&7j3ltW%hAPDSKw@7<5n*WB0E{^)_5`Yg~9z4g|c53_aVBi4Df_re3S z+dg24%jbe&ULm8W9lE(;q{CZ4|7P*-qEC9b@h@8oeiQ4D!@EyV`5)1gu46LvR#rwXM`spo#d@cOR0gF}5@g z+mN7U7$>GlQDb31LEX#Me!!!1GJYXS3fvG6TQTTG3$Omup{kO$5JTzMGxONnR^3iO zm$12~$f1!*8+)f%EJ=qth+3xjSEj&Z2bm5k36&KPJ5)iDG%(Y)x%@p*ZJTcIS?^t0 zw*h;yLUAyMf#cBt?GTK6qL*}ND^de2bSWB}_B0Di-!BbHHWwq_lf;;w16Yd=Ra{0n zlm&@?JwjiUxMGG8m?PeZ2$Z~t6LY+sj2gRb_6f5wU26aF!Po6FK|1Vlsmqh ztpbI8pGhPv?s@gwP6rfXN$r`AD3um>O;(lSET#ACzSxG*J$rSV4%K4HQ|`{(XO=eK z5%|W%6F@|}5QrQ|kOt89Y9QUl)=5$*?iOaodN0{~(jaP#fe^wrq|&}835-p(B6O`( zsm4XLk*TqEaTZw|JB(r?Dsu)ks&{}=oQM)|dEBLC2gKv?xUD=}LXw2;b}SYqT_Cj| zCn*Qp#f7_j_hCqb1O|u3;c)S!=N@C^2~6;G}r6AZo9VJyAQ( z;_{7?Xs0+hf~_Qu(hz$toBlZz5UZ~uVBDv++9ZbKPFKNgz?oU@M$6KEDYhWYp3?6�tlS02NWCjZz1dfGi0}_wMxa z=qw#jW5nGkN-Cgo3U^{D``ih>dwDs=V2a`@D^A9otdblbk3MASe7qfsN?M4P7Koux zKsoc|9hB%K=i!q5tYBDDQjM`Ks~HhXcz;?5peUaDPeExLS7wo86Bu_Acp!7`I<71& zA|mT>sM;j0-hd#o5p(^;xG2?Sw}`3|)qtmyW#C`Svqu6;3cFWd)G`$ z^-CZOU@kXJqQuTF3dwibQ1O3i8D5Wa5unZ+zF}3F$P%xwdo1#c)UCmmrIYJ zh$@TR#@JM(iiPZmOF*H-{WzT-qQ+L+h|`x7LZROHiJX$g} z_9MqK@u^AxnnHII*fxdWG>O@B(`YxDF-{I5i+&$ld7|U3?<4PQmGgz$T~SSu9_+A_NgdBg^&82$MNw)S}&T3`}+0Qe%?Ln#H>>v?G!5S`xUX#1GEd+T9IlmaTmPdY_B8m(OBUym^`;Pi%=r;quiT;s$8C4_c5z{M z4N;@_?smsZbiUedk(x84oP6e;cT}nx+r{CuK3Qx6C1*7YN6Z-IWj=2-b|g4X%E!+f zk9(ec;*AhdwdtU{!Cq;;61LLie5a9%3sv`=9;MQP+3GHJGTrXg0@2g%>A}O$Nz8MV z`=!lAOk5&M(Nrhz{H3gdktVWfQsSZLxfPNr4sm3q1)Lgpkv*8bzk6AuwjnrnD!n8= z?B;ClkNvfecAD}nyce!k}Z6h7}y__5o`fYjFjUyJOjKZ*L@^shwJ9pG;z0EfMwk}gDu zNTfeo^{bD^ueDX<8}0uuzD)ie^XXVZ9stJeecyB8$UIX?CwB_sd0)} zO&mH9VV*))LDg1!gNcTg+xyACg{AtP(yt4?ckrvsrU&6|$g3-&Eg?ZW$+E(fVNl5_ zopq^?vb=GKcDFsY%5uK3VMx_HvC?h_usxl0YE)v8NtSY+;OZNY)L<_`{PB2kF?Ix< zZp=oTaon!T+`Z56SnZI@Ylf!)ft(~hZL2i9nHY0s7HU}-W%lx`v11rQN$C~v@*YPRoSlKVC&=>8jS+Tpu|z9OoQoO`mSY|P^-a~C+mLiCa{`t z3(zBf|2Q5DaXt)Q{Q35m4|m6ZW%TO%8gISz=AB0y&pi$L-0Kf{#huGJbEfLyUxUU)N4TL3f;gCIgBs;kD+{dB{9a8E+yQLUctNF-FABwAL@n1i*>S=bixU+ z1B9upqbiYwWiKBB&ybmnE zwuH2?x*#ak0LdCfrUPgt=E9xjZ+a34WwlmxCU7}Qy?lWLNn?~qY9JO;Dslwna2r~t z`xGmQHfao}~I6Hm67PwntO?tNcxzWL^zW#`UwogG5}cFQU5ymZ)p6H^k23eUx;6!`rn~HAbpGQ8!CTlq5G@C{qK%( zjD9Z>cQk5jzXtq^_CI$2VbP_(9{hFYFHpZ1RjkqbuNvd4=kZ5F-vwT{n9|TT0;cU{ z)=pEZ`t`*34SsM0pfbyS#5U@1kkYdOOm~dp(ujPg_CE_k<8KK6W$(WXH86gm{8Nix zx)Qe5e*~K>BBZDqzXOzKaP0X~oVN#HLSLg_c8z7GAD zxU3PcOt5Nfuo9;y!0`7|q`ratI;0~4V*Zzi(F}h}`1!2g3jT}scfPXGBFM2-Aj=8~ zmY}MtFG1e!Jk6XM5&#oPn?e9MD@yhhjJ3?-@y+7zihre(V}D6iE@6!R{6^|cA<9Pl=f0HZt zYzZ~IHvSdhPb9xD{nMz=qj0i!3`zulBWjpMue-Oga#_I|hxXhKwYz6GIyDNQ!zBoT zmK=O3a(>Mcx3|57+Nh-kU)G7c{Tmo0KLvcN^KSwPI&erSgu2sLqI7_eK(5yPoM!WH zB>#Z>Cnub9kAAM*RlB=qPk=;q$4PA)ID>z*AOEAv%Qr4BFRMr)uv9fhmVFPHo`jZ* zXxnxi8Ciz$Rtl+7P|KR8!xMqOsRPVCK~k$2sVafp9d|k!TyeSvi$YS>V|;bvXR)fd zT`2^(a&y6qV%3vuz}3a6aj5(Nlu^mIBoHOZz*0K|y0 zJKd|UsZx-VhN?7{br1pr<(2(gRE_21d6gnePk}24MFjDhuVy`t$8iIiyp%lMS3W-V zskhIWV_svho()~S^EqhyDFK$7HNY(y&r?SV-h9vX?c~~9AD;A{=VJ7y;8hPOEpq<` zKgjyP>wV4edD%W!>eN#}J+Hjaa{h{0Fkz)A`pPXII9*1M{`ZgL^`Gmr=t|yTJ?=W= zob9~LYkliK?HdNa7x+)W|3~^u+K9a4{0?f`KgM_?_&V@!hgi0XAOZ#p)Kwj-FL&&_ zJr$qO9KLh%0~6TaGWdIvAJvwU?l0`C_mCp!74!;Ie=2SA-wh2hF_+akVI)Ma{x5-0 zw>x1HMO@yDOg^1_L;U@~uMK{*^t+R9j=wzl;%Pf6F+u_skvER>m+y1m`*JR;9RQvw zb9I`IaXjvf=WLB40BIZ!ZFo-5DlPTakVcKmlcgv{tR~%r%Mnte5Y~3s4n^CU3SC}% zK3J+T>hH(DZ&Z)^1@50RE`ERIA9sIw_m`}#ZbN{JNMKv^R&qCE#5^r@sJ10~XZKXi zq+^88VXTY-idh-D>5dnmuZlAnEpz`M$&6>ZlP1R?32&tm-3CIz4&k9w0V40JGATLj z#smyn0*BnX7?1t6kK?t#?q`{u>uUR_|9=YcKc*_3x8HvIsh;}olZp32`P}o=I*SYQ zo>2P!jbCXe&#-I{5&WFlX7apmb+cyk*|Owe59$Zi01wlLyh2=XjjzAeE}LhDA~ziE zbFC<1h+G}UX9trvYOPm>?{iP?!^fu@dmQh7`0UO9wEyIqDD5-}ou&rfCiSn)6t}kK z*PgR9VDc*@8%O8+Z{?wX!1`&9-g)PjrN5o|Z#mzv9(CduBi|MI$IhSc*tDY#Q4$px z2>I=TpWOb+INg7T`b_Zaj>kh7JAo-d%iKm%%`|gS_^*!pl%y?He;)Z(#Jj4$WnlKF z?0?Qe!j4BRRlb(RW~2@o#9svd^U}Yku*Q$5@gJ-HZ}@i@-|^_oIg@OoNUGG%K6l94 zs^X<|cc+hg0@jB1JD2Z}xIE4$dcslKw%TYzv*un1B{~_kje|&G?o7m-fIqn%4yi~3 z*e~Ar)1$sW4TnX=@hL1;)IYko_?_f`h;YB8_(!+#mBHU_f7QPKME4gg6Pt9F?SJu< zv!!G!mSnKC)c}j5#uaXt`UuPt$0z~q)&9#Q%w*Ynqe@76C1}|&3ZB#Ri1u`+S+y0p z4M<459-)nw9`XI-_!t)eAIEVm+$v|qHrIZ-MZ=$$ z)Zc$7Zt?Uy_mJg1fA$PmKRX3{5Sr%;g0$PGnD0@s@Lm_u|G?`j001BWNkl)7g|BK`n55SWi|NQ;O=iG^Toll381j?fI#>{}0;KJ;#Ak+|4Q!mOi|*cXt|t zvu$H_fBx6Se@Xf#ZND)9=MUNa%Rz$GyTfb;WvjV6K+-lRRP~pNUrm0m1Zhy;Re2kD zD>9&jJ-b9vj!lG!qoI*O+OdxoyJ{HIZg9!<_hd`RWvHWcRIU=MYVNz!`<%6DBNb5G zMv2@#fz}XV)j!xSeo^{&g`XEM6MX_5gay@~+b+Ha`9$)iv#0Wlfp4w)qUg5|d|Ad1 z6JU2|iX2?t^q4UVEBXs0FykFSSd0puyD6G6^oiN=RlF4wJuU_698^G9+#UmTp@f5D%b!JTJYxKVEM){V=%4+-bo zXA(Enf@i+a8AcxkJ^KR5>sBfT>ArN{ah#LEBMI#D3&}s;Zf6>walT5t00tu}8z=a^ zIsVAr-$;D>-tFwGcRp?rwN>yAd@R7+8z4rFCX`r8jZN~LUcIBv-tDomDjKR0j$cLt ziRVvZk@VR1<31tl&;Z&dJ7ssJkAT7wzw5*w%xpx4xB9Iyliu?!Z81ZG7NpGXrpLDJ z%;n`SfOxy3lPOqM|TNR@jR-lYy9Cqu2E*4C25v(s&*#$hlb!W=elV~oa36DFnl z0_XS5dCBo?GO#3t4pi<=lSGeV9XInn> zaqw;!VK42l8Gwo}H|^|TzFRE$NlY)Z90Ado7#bSm*t1xmK6AXB`y^3?N?;hs7}jj6F=qvP(< ze(p9H-04!_P3TPD`G~s}!kyEUGkbWW1LCwwkUJtPo|yP&SmmlbTVIFQD<_;g+PBZq z^1pr^`1{B4IWb=G0_*E4+^jLA0Tj4GrmMCw8${lD_t*$Bq>7!nheZ;_F$Db0QQz14 z`x?~^_w0GBfo&XW6zObbXUsts3qZC}w5RtKWlb6#skW*jw^378VcWKG*cim!_FT^Q zH3kZVj_-_Z7)kGA%WOJY!ASP z;>CgOVb4&I4u_hvxADdp8_2y~5hw@Sri+VOY~kg;pAI1K#>Ii7hKh-(tuDs4m9{l~ zUK}pk$4(@vG!7S1wZZzss-GHvuk>d=aq->WdFLOD@n#B6)F+-COH`8y9mYi!;TmN# zblZ@|7)ts$S66Gb7|hw*lZ(UQaNIoz4LV_PaTv?!XcSj76{|*|<YEpWH@*})v*0MOlY-;c+~iRhJZ;jeaLeCcHN1Ea6* z=2hKd_dlf1{jhicg~nTNy%qT0{`Q+}`}2Q&&js`R9NZh6be{3YPj#@olh4Y9s(CXG z?^d7ZvoFoFpLksk&T}OCQ#AhcJ-2#`bFOr`E6%ywqI&nif8Qax60@I=%{bdys2}46hv!P*A}jq%}M2Y!?Tq3(f|d zq*(>Z28Aj%VE5qyJpnlE#za7s5xA?0Luw}&8cZLdtAdzVc>$~^vJw{qp+Agf9Vzv?zhW9>pGHTSu z<2(C)oSAbQ6+-+^fzL;NA;Nj=%n7eJt$!x_pFn<|#{VJxx?KKfdoPK_aX9queQzB$ zc+R=c?odITh$5XtHAVpi&#vu&F)WRXjbaT+@@^cbyWMHv$#!9I3r4LZD;F7s(IE42d@dGRuW;sn`|UUJ z95VG8Iws-V4s+xO`DEV}o4^`&es)_D{Jv^5_yb=fRo>n|lAK(78yT8Fxqs*NDmU$7N z`pDmZMAOmZT>O%c-0KYP7ned#8}{O2w?oB9a`EJ%-+8wK+eIxdg$mi-cE0Fx|Kmwl zG0wJaP_&Yx;GjK&U`|K-7-h5__iB+vKrH(hlGHeCOa9l>aOOS>l_IOg7zl7M%$PMIW8n^1&gcK7~d+e)L4IPS-le5FEF z9iD8*%VUk=lAQ}Rs>Ig4$tD8O?{ao%Mpa}(v|>J;;S7Va6UzUR=rr*tQI4z#?kv`v=J z?_Fs6fXDoOe*7VCY~&iXde%(ndWjP7DS>-Shx4o~$vyQF?|#pdo!d>A@0;g^PpiLN zgXK@z{gYF~a~NWskUpQbC%$OM^M{A;lRV^+^I+SDmpAF(J1@Mij|hP1VQ+k0`1|)g z*FU|yRtx3R+2YPE@Bx|)?*45a_&r}Uluv_`E5ys0bGP3e<3Ompr3nTUmtvf-GusJS z_%2JgI^mNb5ea^jS6BydSd7Q`W zlvHDE|3<*8aiO>kP@#KvPLShVztt8Tobh`n8LAi#i z6ytcD5jX}%nQtHWv_B18)|RTjX8hQB{9obkx}gqaCG3CjWPEyL3q$?U1HWo)U+nqo zpIrRNegAJUKLsUm$wwTsdmOeWpLZDA(31f6#>HVP4nYW&!4|U}Fu^w3rkmIaS0z08 zmi8EiNRd>L(AboD6lS*(Bw7n#0u%Ra@4HbBZ7xe5pPY7VANS+Cb3W>GKC0XLVZi-W zS-ihokbQbcpD2hMJM{|T^>rWpSIXbNwVr`|E}Y0cH2d8i*x*K&+VdaQ=ej-fyu#qc z(ogTLWWUCtM_#qzxR$@$>FaFREv0@-4bRBJ&9*mF)Jgt2%%R}RBe*LzaRcV;5&>_sRMVjwiPbhZ5uwd0SOW$ ziWXEv=mtwH8tGFm7E^@as_{e+d%hb6NlsBsi+2{cEybaWzP!Yew{K%B(1P8GjVeH1 z#0v^$z-$$6>+8Wt$D0zsiiRpHI}1*Cw@uZ*zL1ql8u7Pn zhd&({{3h}1!8Z?w9}j#T@sovLTibU^5?fTqcEeM3Sb1IPj2frLaVFDtv$RO~-7_$0 zRip?^QzBVy%wV1BwR}$3e0ej9G+Zdu~+ufZ>CTP%nv>N_sA^zw1 z5qN)c`PZkCc`4&lZ@;B$@bx;};|<_6%u$1CZ)6AWMQ8O@tb zy1afK&YclHaPxUaV=r%b-VyHSMUNJ5RZnLMm76M~Yvla(0)QvDebtkYlP)N?MBVEd zejT0jW-aj^3mCV1a8I2ZIcJyo%JKbs>+c_|Tt63jgnN3@-y1HTT@T?BwVpfL5142k za0k8sxqf|{_xd{VA)b^U2t(hy5PR#~-QBeh;?~D=S5DqzS6(}OPlO7GRRTa+HSEke z88`@&Oeglq^*jtjvLvzK#2G?!E6vc;5~OFeK)@ER1c8D5V;Qf?~Kt)d(<;djTQ#{j$ckiR2!~ z1(ns^2wA~?+5lawV8VV+7x|tRh;1@u_=^ZTA+$gA55ok2aL!gK~V_N#`(dRsH`)8dTAO5%R zdwzbP;OB)_Q*%dZcz5p}SX4alZ7;OHeMkLumN@?)WzPf8=JhvU|Nkq)_xD7^=4n#t zQzNMna^ZCzV-Uk%&B4?C*EB^_GjO03COid;4I~T#ufg0!|AP+ z`RAVK+-4z9#O6)6ocOu0M553fgf zU#asNP<#VRI%3-~(uwzdUyI!uWg70)xGLfba;#J=2bQRk5ipcVp60A2(>Fw-V4T`t zSEeaN#z9t|7@5GccOaUR%ReFVibld0i$C7B81bYa0Ru+BD0Z|K|Mkp4#^# zrK&PR7fXX*AN;@VuQ1$6JBX`(2k>LXZ^vnX$PjV3cmj@uL8@4V!(l)*4qDl;0Kppi z%NoCh#NZRY^K(R%D3uW@rKMnjYIBy5$QtxGJq*BbY(EFQ*D%-pM?MfV=1tMxYKcRU?g!*s2iHR>v5vw7g9aU7H&FwuO zM9Y2_7QCJW{6|bkKd@^0Ts}n4A8)_)$(tf%-aeAK_CU*XpO32qAn)TOZ@s+Oo?E2+ zneeKc%xK=@EC=T#EO(&E-CfRYSiuE}pUbr`_K|`bwrZrr1z#Gs%l68 z`=ss(ZFD=Q$fL9|E(ks|2@u9<(zKTwgH)uX;gGdaLPD-DCs9KL7N87Rf%e@C-;)~S z&zawV`Q7U9F0+M_quOfwT^irV^E;GO+n)vh`^)1ervKG>x(BB0X0-Zh;16$%7=@;%Fq0d`OV)7KkgSIEm#^Q6bw%+c~NZz z+D%Z<<*}Av$%WKtkb#<8VaptNr!Rl@Vf(exQE*A{4@G}B6Ft9Azq(8_@uQ0|?4eWEyONOKB)I)pK%hKHz0kQ^R zBoyP=W`e-8yKPJ_*Xy7?8wLg-FDs2#3d>&Z&G=O9eSP~6bYpxt4g5ju7oQUX^}ea} z_c!f-7;5{MSP6Wmy zgQn8Gn;=W{>?r|K{TYlu_jUZI|8RcrZ=-%b?Qm*?O5k5%eMcCqKhE*>z}IX1H=O?( zby`_<|0lrzT;m^YN)fCt>-|gTzJtc#_QsakmzQ1Jwq*Tb!}gkBzwvwG5B(DS!%y&+ zzNMddvKCe)X==eehky)#Oo1fFp*)ZA>;x$ml?IwMf-jo=%LgQUt#lNrqWjx>{djubJ6^J6MVP+#as`DT3}kdMOp)5 zx#wEawM`OYu7X!{tLzAG!t574d$~zguNvf5PFL<{w$I7a^PH7^zL(}V_hX)1cc#C^ zx$|K=dF@-|%sIZcq;cDHG<+Tu`w01aKfphS57odt>~hH&RXrbQ;hu-`GNv^Wy|{0`9uCTHuQi-suY11=tFu}p`+@V(1LykJ`~l$J=YCnNIeX4| z<$^iMs**jO**y^y6%ryOG9rDl%ba9^PIR1?bKjHr6qK4$h3wFc=}E9i)lxEqq!<-I zsaSjHa2O=ISwuA$Z5&1KZok{8ZP4+|QJ}^_e?j{1zQjN9yYYwYy*682L#Xup$|M;( z^vA%zLw>pRWuUhKAQ+>HEL4+G08NY$GTDK~s%E~4`P%Q? z{u=)PVoW4TYq008zgm2P`jU{XQ7ca>ZHje3;dly|dtv2mm9+Y$JNxS2r)nO(7M-2Fpn$V6=WfsL{S{)AI;~Ur$b*V&VK3m-u6qsdcWmczGWSaCr_S?F+Tn2Pum`2 zyz#~x&nXTieet*Xf_UD3eL;C%@4PHL#7pqL&*BTbKhJ;L)z7>w1xc=)7_aTgAS@~g zW2(}vSl0w8xq(Z0rkcn(k9%HQPk7po`ZSH|)V0bR(+W=_J>K6XnbYyV*6Vz4QdaI= zM#=fKu6s%@o?leSHOBusvq_#0D0}+Ov&3d@6Q!@7zke_cd{7noz#0GH^9x_5+om5p zf4$Fz*R#vh4}BUv;4`0ZmV4u!=S2Bu*SS7y66o$F@zTNmH-Gat|Lwp1w|37>08f4j3oe8eT-sjv`X4XShr7EcaNtQ|! zk_9Dfup5III%vSgblBJoFGqKejSToPVQ{p^9?wiqI~)@oF|-{xFmw~(2^!<>#_k4d zM&KSS8_U8VWFA74P)VxNgHmNy<)bq5-h0m8d#yD;_Pw`mX5K8_dg$SZIX^NoZ{Bmy zx##S&_qV?Ft#5(nDhevFa|VVgCSYLUM=*U+LX0UU=o_jv7)mGrz&@?IU+q0WjSs-mXJkt^62Kqvsj3DHC}f>mNEfH0aPGnY&a6?2iVpb&tX8W@Pi-RzkmOBJI>5> zP$x0uBcM70(HjuLg%8DPY(%#E&$#Ail1s^E8;|k-D-6OCGczSXHAT}gkUHYAX)>If z08cmWH|AJ_swqVmX zU*d^vtTx>@v!_MMHukRCciyR}+sr!SIwO-DWh^Y(D~E1J|8%5Aa4E z7;bu!rV}G=IWgQCt>T2sJ9+%r)5Y`vFgYf)ZITO5kH68TYSn9#dHzY^!W5^6mmA^# z-QWG)um0+L%x6BcyuAFO4}IwV`|o$oz3pvpd&^tivTN6_ZPq_fQB4V% z5r7?LAC)A4W(XQX%v@~tcOS?+3{)Y7#LW^BQ;24WV4AX1f3nI;t? zKqdo3%2Lc+auw@3#*mV#8sI>&;t_~g{^x{b4zrDe60#T)xFi7;nO(sa)lyOw6Hsx5 zVMMgb~@2#{+c&=gROXfQH~fSBq~iKG;R zN&?joL}JCDWSE3SO+*j?JwmR605C)~Km}wou$W>}BQ)n&4cIwTFjO$iKtG9yO6KOx zfY`*M8Hz^LOsx$RT^ozuE;XzjF`E1L@2~56X=w=ncJ10#mgRFLce%WPa{3-sDJ3Ez zqR}s#6SD&wT-#&;e$m}X#{b;J@?6SSo5tSfg6Q^36reusiV&PZL~?|IRhsdn+$IdCoc8&wBYYN z2xzP0=F}(y&n^F3c9WEOeTh*-5CK#T!8Y|QGJw(Kv!Oot=_>Vbdw6ordvXv3nB{fz zykF5^cq#~63Y8}sc5h>#V;j^{6CIK!j(@vA2g7lp{}wkMgUOzlS-Ld+Y&aFZUs+lC zgFpC#q9};y7k=RvRP|Gz`cw$v^{;>ZO*h@NmBmDxrgPP$P1$ylpEn>)pBAKU&Zgw& z5G5%&QdKY@PbP`RuQt*si()qT^MbxCPLAz1!h4$*&dS87e#_fv3Y0wz>Zi$I5KcAC z*wzm;m`Z<7&kD>qeE9IkKmPHZJ9p+kKm6ej@7lHNBOm$5v17-+`qi)AefQlz`IA36 zaYr&J!8&N3K@G$NB7#}L#i)R8AdWd>E2$cUyIRjU+0YbIzI3n{CxK;asWJtI2@-XW=wgAhX1tv!>elZ2j? z84LLxum2tiHT{II{;$O;60;bHc@g0?E0qSeo?@Sz8eS%bOk}8 z)D5AaqD?Hxz`zv_3}Z+bDVKd3OO+x)<;Vlpj45hQH86sTs3r91Tmyw-2nJXdOzd>< zgfJi?qiGTqqEwXYCV)Ub(LjQ7& z`A>Y}6JPq$m#)3`TIbyF{_gMIamO7_htEs^03ZNKL_t({+;Im0y!p*<{)wOXiLxyJ zVX?WFv5##2s12%tu@9g4-%H6kZ2G9_@$NLoeJ0xL{sUFpFE1~D@{^yu=9+7MtnU8I4zF1 zP1N{irMBVrC}?a)n*e);O=o4|l1t2nkWz>#vL_}o8zf*SLyB`0I^l%!%57LWJlED~ zqi$%_a5m?+w+|d_!#-nL7n}?vhDP?ZCDJe$Qx^~Jo{pW|;FQ#K)1b`+9d5m^wk4jp zU$b_H)Ayp|l-)OXMEz0k!{u$9L4W;>e z|0kX8+Tok+)Bj=hKYZF)e4_|eD7*(z0w~zCVi4>Uq?iCK_G7Elf)v^LqF_Kx zNm6ANk^@Pi#7?TpnEQ1k$BZuYqlD;~3tymb_-4Za7jDgUZt&#M)>IADOwCdxOIch5 zhO?cHm^3_Fp&%+|0LmT($%GIFB&87Qs8y8e zGLG|~`l+9K_q*TioLg8}_{+ci%MX0u0|4;RkAC#We(cBg?%n$j3*TQ#A6Y~k$@8+u zgQ`y7!}U@a_wj7Ng`WSVA9tF7VM<4%i$3l|Q;n@o{Fk_uW%<7My>E7Q_TGE%?RLA% z%ggO{8vu%;s5fffW@l&j@87>;$BqGi-)XDJgo}f?W!<%nIAemT^OkSAwFm8(q~e!jjQn6p4=Qx?A(&@>00WLh)X>war$XzS!Z zrJKh@ea?h#S(6qRRkMq`z8A6`J$m#V?|8@T?Ce|K@|L&0^{opF3v+XG&1SPKOA%RJ zT^)aO2;sAz{p{yI|M_mWd+gZvUipu1)$Ds|YHG;Do)J(`O;tsZNHwY{8Bw-W5d;G< zwWN&bJ%uE(j%ubU<%YGYNX`x2@c|jYQXPemJW~<_MN=~s$fh}DYJy-03II&VjO36! z5@-@N5$A}A3{VXurJ_Opw+j9*|4044X8ie|uR|T;Dne;{sQlVlnw@bDQdQ%6treK4 zD6RW*7g_%f%|QN<}k`$V6au3L**7QL-d1 zBBG$wVGYc*PGv#FV(1(yI3*t~1xc!k1VsX22G`(>d5sNO0TqBu4T0Es5i9)J7?I?! zMfR(q=nfs28UZGYL5x&Dqghdu{krEE2-QGQ(G7SM_so3a#EG}Q^{qGGeDeoB@PSjOPF;EB zm1Y(~$P-`Q?!W*3k9_1KPd@qN^3n<<*))C9gdp{@P8?Iu_|t_JlQ4P|1W?gfS48Z~ z(o~E$gq4#rQZJuK8y+&7Tt%=k#fX#R z54_0xKkfE|Klp>c_j|uLH#hg>lTUv9;~&57y6dW{%6wk_x#>KebGO}g+u_59MdV-q z@Bhjha!8;cs)R^ROJZhL#H2~o&@}%5RVHFbxrLL7A`yTRq0b(TBB)}js-g&NP#_Va zQ$!|1V?*z~BQ6{dqE2#wL{+HZl2|n{5E3zw2P%;YL{en4fw8cubDja!c}Il*+~Bdd z;gUIn7BjPnM6jJP%xeBvA(}-9QAu}mxNrnXI0o?&fwQ9{6!N6(9 zK_hjPiV{P>ss=GKDAfp5MG%01qN*|Yq7V^eQWHX2@2(>?fD}Ll4Z%>=D-v>2v!s+e zPl$+itt9uIoSj(?5OIq|#4IDqjkJza4c=L@~w?0ueFul(_S<6tGU8 zD|j}M_jUovv*5II*@Zp*em{q!^Yiln@Y>hD_H&>6+%Nv(FMi`2-?-(LTh6m%r`^iK z9&y8hcFv>b9CL;nrS>*)_}aGqIXHoc+tj;uTnLO$M_Jlf9svQ=q6A+QW|r!jo#UdA z5Wvhk7wcM50<#!`cSVvU7SU8y*Va~BtyZhm@XThGVknAY=p;hJxb$4-P~6zwX=H>s zqVREuUbnP{wP8Q1sYJi$F0GvphhG4$92Eo%u{BO8h@E-}kIRyW4*j+*!rAP@IlP6J zwZ3-m-o1C+afkQ*cYf!0{^BqGq9}?y-;L6jdAs@MoB!|+{}2Ffd-acQy-Bu-)G?bj z&by4H{5CqYt^03NvS#F*s>K+X$u~SZ6cZS0oHm)&Hkwk5G`W~`(<*gA+{RRmZl{P` z&l}`!oa}AdC&wna%WfGsU~qY-^=Y;}d-lBMHLvmBA3S*Qi(mZWH^2GKvMl@kevWCg zpV}tQ^1y)u2M!znfE{zQAR+a;N^D?`3Cug^$p8%`3C3ChK|B~CGBJXxm?qOCnk#Or zl#mEBa!q2Qpu$WH;1~hGVoE^?iJfEAY`#N8W_5&7(0vJ&S&_AIWpedq}VG;@v6aj#k zEE(l=tRq8WW-_hoI;Fm8<&4!d^-~HF3ulI&i4;@>4GF{nf92wbg3nJXNdJ8fWF_=H}++<^aHZ|4d`YOZ>o# zZeg3r`}|8)Rn9r*-1M!rF6E0{3Xq*Ly>Ka|(w7~|U$iIkC624($B*BB`|YZF6d=#JUh;II(eD1jSTIGm$h+{ZKAQw=6hjNE#HVX zN%>-v#6nyC9ArgoU>z{X88CYj&G0pa=*-x;Sl3MCnANPi-fed}R=`v9OQ%lFA3S*V z(&FO%_uv2G8*e!D;v0LCW_R!Mjx9w~MPjr82Eb7T0-Qc~=14*a5*d zW-@X*2DWrbu=94px&(YLB8^6ah<5GT)$Mj~x#gB`eB&GY_U&u6TAR{XW7kNZ9v#|q z)BJR@_GWW#WCFggLtRosMEd=8A}Sgl0Rb5{h^K5r9_U6pZx_Z#4bay%$qy?lw38fq9lJ0JJ_J8sGUhTzR?X&xLpL3n-Twmxs zA+MIQ{@(924n_j9QRKw#VJUMWK?b3nDjqk-Ab1(Ppn?}{Utyk`8^Bs7Hj7-xhW$&qhFvI zxB{B>b$|F>Tg(dcEKhl1aY{A!qbWrI)e%*e0E{se5rSqg$nYZ**&&UE76~AVu2e_U zR`N|Aohvd-uZ^^wi9P~Wk_1OqB*38!XF>g!Yjg5PWQV|h6&w2xk*Yx0zaOzHp;$5k zm;@*dvI4{(Fj)J3dPn?W*fo<-14ab_v&{RzsNJ^KN?N)1#DoNN1^8sqBC+V->;ou14j7X2jB5$uHDfAN*IpmKbK!DXZTFi|G{o|JI_zC>~mA|};6 zy}S#myobOd%)i-2G|S$I?m1uU{ye=48^9fK7TqA=okg~G_iOc+(894=P5h+m=1UZB zNeZA~?x3oshMym&xr$3v2ravricE4sf+^zl&Wo0|&tDgRSF!m?xo8_M-^v9W8{a=F zCT<9@PJGunbKp7i)Zt${FIC&Z?FF;xr|Eu9`%^o8c`>{<9eY2=|E0SgSS^KIVK{fS zc+k+{2M33gBjc0Pxgu3`G&%#nvS2Y77>TWXvA7tn*wH@QJ$Xf zEtuo7f8XyLlpP!dt}Rqni>^@(khZX3x&6Rz+r|tSmIGms$h*J#dWNq1#ooRIJ?^Q+ zB_gZ^eejbC&KVPt1ogOMA2HCd@m!sqY2LBaqPARPwjYnT1#kEBW(B8EdJ`>8a@T3U zdP6juSPs^zB%&zI%y`padY5V{@@aQG0wFoUSxl}fbpHb+Zk#T&fqO=nBX|<&yKLz! zeWq=aV=L{{z8KdH{U?O)?i##7R-g{fZb*> zH?CwY!=fzLU2#4n`~1guO)*x8B{^=iyBA4>=Jl7LX|Mxnjz!U-j2Oqdpx}(=#_k5w zs9ot?WV7{9M#HOGpC7-mdl?j6MRZ}HpNL5Rmur`oS&`L^DDy4q!hC#aM-p2sL;D}8YS%ES%6*vyNZ#V{(mqmJ^?{ZIRWkQ!`d=* zNAhz;klOEI)9XpF+wjHF{Yb|O{nPxIaf>@`+8e(X@7wX_F8@{NO^59bh1UV+#v&t6 zi-P+1<43>!;avX*^%Lh4lZTeRZCn;uc>!ri5tad_mxi*Exd!h{ckGvtExI%YUW!p% zEkagCL7h)#Wm;7=_N>#x>#u^y_#dp5fC=AqtLV$h>;(w=VhX8hL(o+a*2E|}Wf~#@ zOqo|w(n)=mtoo`+1Z{rvF@Nlc=~=%w7EU=aE)`QD-x5Ir1k~c_7?jwemtiR} zK%&zly3|>hy?1iGmOav8kB4K=huJHaC7~F2+nF!^C%&dkhozYkC6LGTWv7dfl(Ws; zpZu1(GjJ9NL)cn}i%@ol2_AmO4FVXeYvOIy2^nocz*N0GJZ6SHkC*-o4;#%jx;u;Y z`MuU#cs+4FYliY=Hm4$M#9M(mQ}V+nZ*KC}rU^OLgO&FjpZ6u16aV#AEjtbfe7r_O zMHOYPr#?TMmm3KBVmk{$xTN^LQ$=aH$sS^|Z!kHKX%7+RIDM#iGycbdc5MxZLXgqA zgf6JeIttj!MCYN%$~nxPV~~-bnQJWWfB*c@)$!v;S%ua7?sY|~GiuO@0UqIZ{~^tQYvLNyB;o1pYtTt%jH3y z9W3~#(Idd1VooQLz$nc(P8r64#6$DR$+g(=+WXy*{1A!~42tzHC{jGgy#Ol>RR@#; zl1fIGc9R-aO~h3DOB{nsMdXP68mb*-lB6V~hOKI5`_s0>TuG5mSxXaQX^#98B%P|N zRi#yx4T1G2eTwS_PK*QkIOJw1r+404A~Tg`>GEJoo15|d+zoQW{GuRB#8=pElQ%d$ zPAAW+f+h8nElUe|Dg%;Kri|4%?T?dQ+666~_&nFPa#iis;cz*~*}QcApMDoowq!$( z(uN}z;Hu>d!KSs0$)maB=otDe(VtOijKG$99sbpX&LCdIH%E(ewgSgLHscU56GZ>) zgwUaMjXe;h>i*5c%ERN7Nb_DnwmoTo;?wRhe;9Ehb`O6EjmX*NU-a}fW_M|?BlrPM z$qBazFD*|j`A!SnbN0x4V#aive?nv^)VO1bw|9r=vjPB^RG7ecKK8Eg&-El5WlPx+ z?7Tt_*I{F{5gv+vSug-{14XwD9YA0vID=x{sBwu$c!_6UK0OW?tdjzhHO>`r_wny= zKn@H%@ki8U2UkA4Us958&=S%iN=5Uwy%}yFj_wU=R*#B7Cok7taqX8F*&`*~Dx^Fk z!qm1gQAz`kf!Os3%o~?1mlvNBo4L%OAa8a>c}6BH0X_lk1kYRHzz-`;oB^85KNFP% z{RxY;TZ<_@3w5`J21d?0a?)L?t;|owPwIyb;`P(Ept{C_Uo!W^tCrDG+_i^3<=A#c zrAN0%M9SsD1agOag;IFH$UKQKFuX#kMmNoB!WluI=8S^RJNA>3Y?D-Xt=~7Wv)?>F zp?s~5r}W+psTCEOy=B(&GC`JRbS+=U3Q$8Z0i4{_hFN85Gp|0}vl(TVeDT+E|MCZB)Qms@ znc!*T*tE4zd0ik_z6hO@EO5g2WeU-!YoA-_%uS!5@WKd?dGUkg(WK(P*|K6Wfz3Sg zGSqsKc<4Zh3DUXd0&?aUKo(7N2xxdiUeL1$en>^UlA@|4KC|!M!U%xi^E1+!yFgH- zHVV+`)PvHxfx|J06W=TLf8vMGl8a~;-+mcX-j2w5OR!Ax!{4FuCark$B%t=kov!Xm zLwo7c!`j^x*R*U z*UkOtt3*N)AeDx@JAR#o5wMM3@X@^w)+d*on~X$8{r{CgY|>dou@PZg@qE6p)RWh9)Bqkrm_@d>@{{KpsR^N3KjD|BHxIo;a9DpH9UGw`CX; zt7EU^Y=|AHOV}^}W>8Q3VynVnP7r^KoPWp2cndUZS&dXkUUGv;2O8tX}g)C2qUn>BO~kbpO^{#(qy``S8RfXNaW^{3-^iK2&I zzyvyzx2%ApnefL^Sso((Iz1vZUuIUN$-_Z9TH@k2a@s?Q9}-BRZifcC9x%H%8K>}5FQ0mS!TsXhNN(=#lL}^qXGOG z&&x9*)O*OO-DVDxGbk#Czc$m`mz*|o{h#p9CcUE!V=k$S;maDqMe`(E?GHC9N`K$+ z`Q!snm`^ceEjEJ{Z~zYk(2?$RHH{-L-;ODjP8L@Hz2Ai1(3VuvHss&3TgSEb|&abPoyqLM`>0iePnXG$ddZ_P3uY*>|~W zU&T(+1Ih9zMFqtHqzlVvL0kPrCD@j1W*NhP`V49{O(>2kBbK)SYNWIbkM?!OB6B6E zEF*})!d!!Avy8Qd0#>FpLZmd3{FO|qTMEasm>xB@#2StX%TU_SYOyO3Ia9z6l2cY( zwR{<%5}}MUzR}psZ#iAIVV9uXOgJ*DLN=MWk*1=PTqmbEmMsti;60y*V>lgx`xM@w8At zZ?M#gc1b~0et!WzShq*^*$f!6RCcjx4F@e2fgJ48Q5f&{0&Cl~hw4V^ZW$ z(NKC)a>#>0Utx4CzNHo5NVm1GN{qC@7&b`bs`XW@$T0Gd?f&mUy+!EuK=>#>I0Km= zn3Yb%69|IBZuuyPjdoREjMg6Pgx8LwUP?S0=7C%&nK_YatPF%u%qP$|iu zBAcbHjUSG7O)J>wT0ks|p9X7V+#DLa<)rq9e9M{91FrGhuJh=oW)7z@`zbe_bcCW{ z0+$)O;tId51HA`X^36ym^=C&xI1-x^r#a!)xLEa{@bLjug^Doz1g)4%%weSUg$09} zIg1j~O$4>9eCom`jbw-9^|m_aH?Ou~BOW{o4SThcQ1A{WR2A*Q0U<*Fy?GM=o$A zG$p+Wq9FUc&1XOlfN0ktnbQck$e{2sK=>fMvJD^n#K2AiW%pn6d``6o7Py=Y^;`&_ zZa&g!dQ;=N7QzCN5n$F|{3h7H=M(NfJD*AXMa92H4ODH9aqpba>62faVZe#fi#U*O zG$9@-sjy$Bhx6OKrtv%N$@RU?L4XW9AC3*h-O&N@)c&=&tYx~I5NDyNmigR+gO1I3 zYA;B<mau;q3zu?TWm2y3}Wkffs721%;Gps|BrSs+z;&CA{4@`_38PK051!7T!qs z6uV2F=f7M^-fu6y9PW56b)ML)TwF8fecm{sF){WzhqRnz-KGEVeS29q_fn|ac}CME z0`>e?TqD3{av374{(Si4`|^lUE$r#>G|82ut1YG77(ivD#Zy_yHanrkPz&G6w)&OL zph|bPr2(_7>9{$jnuRaf7`5n(ASQNn&`j|+*S}8y7biD5LKR4-k-wb z;N>)KkB5}MIPv@#+rWHh5%+8A5wZBof@S@V_3GgXf$UA0r1Dzgm6YuI@k5WO@8?gM z*+L=m*t@$sgzE1ogdlh?+c$#hmYws3T{j5xZ+j6q+|P*V+tF%Q*VJB2m_XBr&>&Xa z$B!nj`i-v@fNynyG3&f7uZ~O zEQ2&gNCJcUB=QQs72%jYl&;S4QPz;(D|q_~81TyvzKyY1D3vqgSyk_&>I~;%)Y!Ob4*Q5A7fU=SS!D<3anarz<2|K3yl|vDZsE+(Yk5$*?P~t}L;nMqL380_5tRcFKV%l z^EZJvvAU1rctWVW#s@5lHrCqb%S&N{#01tNulpL3d% z-7>cl_Ql0p$wKBWHBsI<`b8OjdL(51J<G>3Y&}Q(aXx zCT%7vlCihyk@UpJD^Loa2Y$A@9h0-d0 zT2YUuB+Z4D^7-qUw!OpHAhKPC`4TEACndz;%+`b#!%$T-`!5AJXvlnYviyle!!Rrv zJXAQcy@xSHaApQpVIrWGzDSs7lbP|Os%lC>wd?qyI<&)!Nj`{`!TA+!G!oB13foiy zM2AY7Azx=Oq$8BnqM4btzi7d3n66fKviAB`n>p|{!t?^+kh{DcTYlSYaU%P29f_c; z9zVAk$I4q&yIaA((2KeKt2n4>Lz+u}xqZ36#Rxn?ISDuz3*7a3POq$4asPFNv6a4u z&HZIyOw=>3AWmuK9$L0f&FdSF7Gj|a&lx1$*m&F%EeRlIl$UQHjW);{aU&sSyk#Iz z)73he-a|vKkhM+0ky5qqcZAVt&Gk$xPnLwxTaW7~SfKL`ph2LMyPKzZ)V+%~9pln4s&gG(c*+3;;e} z2L46}5G-we&F4{E^WdRa$3h8+rbVVm)ZacFo@Rk1GdQr8lO-$fd-+=a9QVauLlG-NxaeBTyP@ zV`KC1^t`Z;<<1pWi*Su1V3~;F1y3;|Bs$vUlJ3MmFGrz*f@&ka?w(~`^#S$)&nq?l zN9?9|2#V?INC!CryI0X_#?|i9lvO29h?!UhZ32M%_3q)vH?mMctS&Y?E4x?#V)bq< zQmZWAK%%YQt!aMG$ZI#jX3qE|iMv}&z~N1H_gXaE6xzw66(y(11Vt7;`%4&GfA=$# z`-j^}s+E38ik21wGQGmQ*)Z0asx50!KZM9#_mmby&X&YM@|u8AMyJ-2z=D7nVA<)fO$cf8#*8CyRPv~h%Pfmq>I@uig%%4#ron;d{an?9;B3--Cp}@q)`RPrh~W) z7N%seeBUDZp`KzD%Sba6u)SyD2`;M(j;shq24bUruuV`qpaPfOg(OFk7bPg4^jVt4 zn+-HiDKi0;#*!3DUmi1S4OJzdCvq}#We+VdTMj!VseLE~ z!me9eSV55l%Wp9sJIwQJn8?h{6?1*$&%aaedZu_epa^{A%zt?dJkotSsBSqM6+7|k zi|;(Yr@$*6NE_qI)feyZ+%IP~y@xvl?3bT(8|`D zHEML2NDGs<)hG_k#ssrW+7BQu#18^oJ`jgAiI-XDrdWSS?FF-faC*rI3f*%^;*GQl zl^7z)NHzE(Swjql6S2*j4G9x(&;SgY$UzAjaNY>fuU@=zN}AX@xn#(*Jaq`4C>0{8$==5u?%U}}2rls66j0@VzKAA^wh>W_admR4ny^L4i-8|Ltp8^g zN8rg36ZYkko9q$mu2tO`#7%zW*+Ac!DVRNScjs;W)?;5slL*l!J2WpgulP9hzu5%8 z%^$Pj})Dmb@_)a?ngkoTSFCUkR&c98Q>)lLGw7>l(~}B_MTp znQ-2Kr6B`)N~&;u4OPhS@7_$5lCRqlpzl#YHu#Le$@F8ni~oTk9`)1lX1ru)?Z>RY zzNViZu6$}dSDMMILNZbXN%`4+8+2r8RqVIUb40f2zt%l&$-cJiLd|d9i%pEIgf;OZcj;y09p7epzLR-2+-mM54_RT|Z-+v0L4O81*;s zPM4Cr2JJ>Iw{_gWD_D8)>9eCUvdDt7fOL@WZ1fLbtJV}V&X92ys_4I=ae#0eq-x;Ua5Ds5hwe*8s7NSmu~WTYqD(Ai`% zceOVaZOuYwhF~dc5y;pHQN+LXbM&{es$O1cu^4bHox(bYFF#P597JpQT30V7&0Muo zXh-2^;=3BtrBLS>zHO^NiIP|i_*Zv@dNK5r-gT(B7o9>7^xc3HAJfD5wVJ?LT)P)o zQx;N0Jq6r|-}InUhCi8v!yujSV#evL`QJtM#PGbj3ROhrSLjtOiJM0LFiN>SV=BA2OkzcA z&B2k3INoqwH*A=w&&zzw+L6f#QDF)mFotZ^wyW- zw7{-F*W-$pADb@{pRedo7Ov{Ay8;w$&rXYdB~O3Vcw4kQ(8s?OAY7{Aemd)GIQ!S! zQLR$gm%!jP<+D@&0N>@d0~o>?O^%u!3;qmcgtn_LY2R!(2W1f zrM>U6=kQ4Nr|kIrh0UkudVZ4c9Uq&tWgK6(ceeld>?u+#u-P*65svd~d4#IX$D{GP zr)LXR)jSpP-KNcZZTBf~_ZITzrEN>L=ac7uGO0QV9|B)uA6{`$ZVppsThHzGm3Qk=4usg7K?{|>YL&7G{W{BTwWV4pLv5<3yfu!ua z0W7?ijjPa|%_Z#2{s6UQvra{r?OIMYI|V102j&s;q{kqwrZetlT%5^7@;y#&Sxv|8 zLjY6S0`K7`iCmxkyCPD<&B!}xVjmX%2gGl2srLSiP>n$$Db=Z*%`0qqNyWgsg#J&WDZfeWLa~tb4Tk&lxy8tor3pP7|A;YIN)G zFOfF{v+?71K&5yGmviQSod$&@{Npt1&+V~X@8Y039@CL{fOC?uh|xKI)BVRU)(!el zX!9axlzEEiZ%rsOo5hGhNGEu?W^H3b& z5`7&zDRS)9mInkH>w_A+VgOJmvF{^d^GlY$s)n(gJ;@#)?x-hFreY=|B_K$Qq#c2q%WN)KsjW&URRq-3flee| zaNQ8uXegL5g>}d2^ywsi1gB6fzq=lqvwIq)$Mxoq^RX?gg~NCRn~)`nc0=Ps zy!RPJdCNJmv7sq@6kL#>5D~%bU&Wz#0JrJlSltTVSyqtL+a4OE4Uq{zT%H9Aqz5gzDX zMLFfV)k+y`eyfN`;%^nQPz*HG?M7$rC>Ah^9K@QrVO+ zU;fLa9x0#%VF7u7pxXKvOq0#9p8hs;-`KkFx;h#%JKnZ9bFnRgq(?Jwux3A z5&wBmWtfioC`ePog4`qdcJk& z+;cK*-5GN6A8I!8uzJ!B*g6x>e96rBUe=}Yvvdv+dV( zSXTJBoU%3&Jycr(#ZKds-2%r60X;^h#Ts0!!&?rW3ys*!~&3TADbiCb%P3ab7 zpJ2BlFAhzyg7#Uxtr^mBx8j2YKNWm`uVFC7ZxYMi($Szz%!uY(#QD{zYt_`qv6A7e zSj_9bH`Be;(C*@1c8-8ySvt^n`~auIz#@;&7}@RpgZJwbN)o_rasSdwuwKhojevl6 z;kAO~*fDij7a+b6)#&$YMSe$89X3C1-)!5{)$SR&7IaJ|VP<(Y(bFtT1HAx-9tp z^s6uOy_wW$(7}vQwwS_t_#}43FI~{8*p4-!aiW=zcQa&~VX5DtahcLO3M7VP-EYEx&Q+iU-O z60GJCcS(u&1!8hMyKwfIQU=!8h!`j8xmuoWYV;l5}R zir9XHeX$TrvciXM@WwZ=xx!fk%;hfD5~XDdHovw-Q6t!KO;U;dfS04@_6i^(e}Nw+C5-86bNUvj z7Ss)fVg4mFBsn+O4lP{6=M}~Pgi7xa=KCRP4{G1*d7Fv~d{R;-1c-^yNRjCb3dWMJyj@+sSo6&DI)vTFViNJCg68!uN zS)}#ufkXl~kNizHhuLmFTJnB08Jfx$Uu-xh0TR%aJbBQRo4ZRjaO@=+D_oM8YI!z9Wuy4(ea5IHjI`npVtPE@J6ePptXxe1o<*K=?p z`UMVUjtA6fMz_Bysh{2cqX<;$ofX?bLBT55g8^b#NXNb7VdbhJH!ND5iJ76pmYg4? zAU$=u7>tB5Sp3wwT3|QOS|dUEdzl~|EjGp!Em3J!!t>L5d`mY4#o${v_906K5^kR* z0fmp;sK}u^ne*r0sd0mC33wHKx4^U-;Mc2W0pCCcQx_ycRVm`Jg7CF)NEK%AP(3+G zKT~kg2XtUeaE7p&&f8IktngRC;uad^Nm^mTMs!J0;Z^`u!g3So1+?}y|!63?OPkB!@bj-I~$ zN=o!1k1AceB-^tz0c)0lH$%-!0jkIMG?X~pdrkq%2PX!tdtS{iPjwM^R7+lK!M<@X zwkMn_`Ug&?ciWA#M}^C^4c@LV7A85a11?L7{Koq3LMnkTk}uopPk&c$EoWzK(4!C7 zDM&_-JTa>J-ON1BWYk~rlIpNEHt`=HdG;8Z$?%oS8&>Ln!nEdj2*DR3K~aZ+LURMkcT)NnjT+2&x77das>|Ms3c$iCJrxW+teb3 zyU1vbeL7l2Np5Hv2&DhligQwT+QmJhkFt_#=U-RAg}R4=&di94g-(<5sl?l-p=stqujGGLVxKraJ@6s%RiSt2q= zaXAiYu*^eZ(D3arm4PRTxp=eqt`&q|A>-6A#Sh$4Jkh3rJGPFt;sn))^T-5e z%Igmq^dgl{88h%vgWGnmdrw>>WtedI~UA)+Y*Y6dJo=P|EPO zv0>i-h%gaE!8%O130@H9z5k*&B)t%iot=_{1SKxQ738%${?(zTLr5tJxJ&@ZBRJSnaZq`#t_ z6v$28P>n#D%BKj-nHB9U)na?*f41_Jg#qNj&Bl! zPo@OEP@LsO1%zmN|9rbylzQdB*S1;wItDd}GPR6b;rQbc8<-EwJ5YZC=ZH36`ZmY< z*<$!&O!DRLCSKtEvASk~_?RY89zmD2t`ghjH%}@ORntjg$Us+E5u*)D5gj@gAH(>C zm|bNb1#}Hzue9;W+n^`Oh`A_i35OLFGr+4xst~W0n;LH1=<~;78v||t;4OyHPkpdAQ0ImslAlano{wwk^Uox za*kh67VDH&H+H^T}NG?OlPfm|;{3yv7Hg!W>)xdI-u83ece5!OgC{MUyke^cD=3KzUp=|)tu@lzZEnu3-Zcf@Ea2e=9RHfD z={Vc-@^5VR+!nm8a4{~7=z6(%sS!|_G*}s3^}R>vdoQ!Zl`m^^HBYxU)2k-VV~9k# z$AOFZSW~}e!~Dayb2W1Yon>4(q7PeMk}HpclT;VYt>dld3-Nh}LMDGjl1%;ks@@oN z@$GU1ZqPHotgD*_{u>|N4zKKdS-uHaztCrQuoTpu*Ak_Wu@NpSwj;}-iHUJ#VxR?r zuj6`zk$y7US!J+*Tu;L_Y%2zR*hUJ{VmsW$48@)jT^W2jzPg(fD2LuL9;|fz`0UE? zQrD7 zKc)U*%W-v|Bap^oo4zxr6XGCIIezQ%N2n-e^GsMq!r^Fkb{4Tzir@pP=ZSi-scBbT z9UmWm7B?|5iJSCva7rnOkuLZX(+6;KaB^Ddzy8|QI7>R^C}iPugb-{HU;mTL z9LwwA;1GdFBh>%Tn|hP4uwG7ie(%#pB6fr<>(=9=Usj1-R{y+A$`<6Ee_CEVSkT^u zE41RwPo9OQ165P)(rpsx4y27Mu^BU2YK34^jWLW`zY3`OW>s;Uk4tD)GU)Xlk5JvL z_hyRpx$JMGq{BW7OfS%L$5Y?+gabpeqaOcktOVt$+0kOEFjqn|uqSYm0|mUzqn4Hj zZcLY)2n)(RuTLy01Y%*b1e9w33*`;zP{dNdZ%)i)`2hyB^LIGkBu3B#+ z4Dy>L9ZTLpW81?1Am2(J3Ou?`uF7t?X59#mNXq$n)4v-Iw%edeWGU8=(E@gV)A?kl zb(k6D)$_0U-oY+@Zx{pL7)qd-Rnl|eJ|_9F#T|He#!M~gd(DC0yl|1uWxRhA0U1VW zoWA;=$CwG)mF1Cxrdeqc zOisDVyt4ncBSpg2a#sy|u4SgK-$(qOWiLkQEA2D>X4c=0Bn=*fg_fr2NS>{$e*tt$ z1p~$(z$`#oSRx|tL4!T6d{+Q7QA;c8F9%Y0@O;Fis7;mE?0nQ86-arQmZ(}VD!P0w z{9RG89ddR4HWIT^2y!^cP3DRh-&etxzFO%f6tXhKA7yLGOk3hhiEPdUkTJWaX0c_x z3bVOK-#B4c*m=`0R``~m+=0y^0 z`}K6{T#kfi(LBZKEY0$JWQjT+uTLI(I5oak&({m=EfFq@P5`@_z_hCtK=| zh1J#QWNlrrheoF>FCV`SeXb=<)gXI0ntl>em(%=glPST^&Ih^b?U$SydqU}~Y zDRd1_4m`zf{F?F^pQ#Au5?0(kU9Aa@w9p6A`7k@&P%fQx9AUpKxT!yKd|g8=O8Dtr zqooxHzT7DS2**9*=h7$(CScAoMkX=Pf(t+#3~cDd0QV6(l)35AIJT1<)`5WDualIu zY=(`Or-SCR!=mY2IY*yNSp8_OMAFG5y7Id6Wekg_Q;uV=XIbxK!d$=Cjr!PdZ@O;! z$}{Bdv@~9;nBHqau2&uqb~*dTJVe#4XyMhiEIvl^`t`YZym>~MLEUVgxVM|D>lvan zhkS2ur`)5FT0L(E4cjvg{E4OjT!ol*^2+J z=Xk5YDk#xBMITS1;y{J>*5vH=vktrQ_AIP2O|KQEwF0``zuez#6cwpe0^PFj3% z+qe+9S4)PpyLES!*Tuil3i3ipj>ZKLF>c}ijQl|hmSL*0`uLTjUtQw*Z|Tczd{n(< z$@@xTml(Zi5ckxyK6PN93~+OhjW$(_02MjCKW+#RP%E~N?W4+j^iHaL1U51~H2bLs3@ zi~F+u2uF<^wo3{LT9Y6Q2Fu&!(8R`Gp(3Ny0fINI*hF#9WPw^51sX9!2I$I4v?(Co z*J${t^tCC$FceifCAt!8Ya$M~w#!K?h+Yy3l3|XF z7#R&U4RtM-*+oQ{mPJzwTmUIfnHC*V>RqDE`3IK|bip3^i(=}k*auY1%hYdQG85uu zcxV3pW*X=0Mr1{eAqYg4Xa?U_cz$W?x(>XIXFiTsYtLmS;4r6o{1%Y`gUK>%6cb=s z4Fh$x2>8GWHmE6B(SzPuJUDe1s){|mzOxvpJ;-$?mGn`*2nW@1+eyIrALfdRtnBPp zVOkX=CgOHgD#;8=DO&m!4&~Lva>OBX2E3u~l?rJQFZSeK3T+QDvF7Egg#jAhoDRGN zJqKSgF(`B<>5{-vxeE7qvGkMA_P@Qm@bE_2hs6;eFr9k&yZ%DWwq+)okWK4CkExO7 z&i%i>-u0g_6|ikB>$nVC8C zNYsfP%qQRkuQ*Z};H=IpDONyIdo10EyA+bvoHSc1IsrC>s6<3(SXKNrGQ{#S8~|Xn zWFx4XyCI&Fsk;$7cf)LxK?mbPAU*sTOx%gAw>pF3WA;ksY!^7GX-l?uHJy#_$62EA z_FrvY`o4VQ5gCl|gb=brG4bIEua{u4d%7X_GD3s^6TCsFJ9O#WyJit3Th>oc1UI>< zAxj(jHAwM5y!K#lb>~f+QCS}ZN)lcL(SkZ|Jb8XvMlXlXjY03bv%Bv06lk6%tGrC^ zLlL=OuU=d}TX`;f4Aj)Pyye_}TlaZ(!M)~{e%FlfxA!joXWMP@0qZgs3pXaBH}Cz1 zY9vm3NS^0x;*Q;A1a8&tUwaJr9vXi1zUq|42sAgMT4=d@HAaQkHiOuwycxb~t32QD zE6T0O_d9zG2(H|8JJ?`kO>Q9J62IC_wo#`poU~??)9>)k(UJ5Z zy>CXHT2h>RSj53Vu$}7f?34o@^(P_8%y9P3r@UP_IE zh#*l}VWO<%SToIG#)1ZFYCKk_@3DxaH31OKsYYM>s|Y9^KrpBsc8}Ks3%K&C%;%7= zr$iM?vg}G&8;!11@NxHU@Z@Uww3l1BeNjW|O_R)MbN8She)BCTpeev3N}IkQ$6gM8 zCuly-`bPZ7BMW)SvrU2&`z<2!E%4YqUo7w$QIU^W^VgsJ7bincM$^`x%zza1u9T1_ zX5e)`WwQHVeNJ|^%G4(Z2lg>{i(xY!o_rpzNOW6Jx6g01|GGz=iy(c=4I=c$X>rCYk*W%$y8?rO9}#uT~8U#TAiwu zW`&rnCNWH`h;laOx>-V@YGeCEuNB_Csc)H*mex<3HK_7H2=nT@o^6`hMDd)*Q|8AP z)3l&fOM8CU0Of+~w5_ei1wZcz+>o7CZcO_Y-dH_% zaHiZrcjLFz;Ck4fL8j(6VuOVGrCa!Ff_Ak3n`$q`uoO|KA)F|PG$8>=51Dr8_;^(J zxa+3HCZ7tYP1%7Jlu^| z{-|$NmI($OiRU{s%bhlnrfzOcF{{75IBZZ#8|CIk!uksFbsoKX*mUK6)3wWX5Q)sI zypF;jenFA`di!-=z`e-H-9onWyw^t)I#k?QVO(ke+W~Uj)gesc6%(0oe;V(Fr4F08SR z)eBV70$KoNMboILsw|-2h^s}b00;tQNN9q0B<|L7U#$QzST!6Ni>D1R%}w>K(7YbjUdJgh4!tLjRIEc`(VQKK{IWVInb}Te3 z$JNaS91^~qAR1BK_wU2raXX#J%PZ_oLtjTCw)U8`882;h3>*;a0+RwQA6*M4%67bs zfrmG~%B&8#4PU4BgzCxR?iIQY{=>&aNg+lF4bB90 z6haOMKnJR!F zBJUjsj{tGeR%xO+gbF?Wf^p@`~mfkc#AzvTp+r2vhD3Vm} z<)?)pki`2&e8U?&z7YUCuzeax)}%CC->|>&*U5d*z302i{rmO1|G0Mey5O&N*FT{S zebwh{!_haZ`#wGQhEu0Lnk8>}*XHs2=C*gCzPNtN!CQ0|_8mDtx4zR{*?#+XUc7jz z{^)Z*aL1jiO3Q@4gI2T-vOqD@&_MCOYSO z!44=@XD^Ljzt#J}-O&N#$Hqy3ZNRD|AQW>5KWvSy&i<8)8{M~_I(2C9!tjLN*S>D9 zfAv=H`nf+0*BJ9!L-$@$tA95Ch``V{WXyL<`BJleRjqNGUI1SoZQS1IcYDIv)z(~I z%g;aY#^DZjmz6sDC+hoNl1KOL&gU--Zz*5DR?Ca^Ltj1zgBPEk<{RblK{XWfhU7K2`^-hieo#-ps!$jM>SEW#B>u6;?r{oa!o7JlH58qn6(m7~(6 zQj=7yltNdm1m#6hOgBPPWIX#_8Bb|Z6cI+J zX&PTLRn){YJezA7HyiQK6pl{``@X=@#%?8t*!&KrQg+}qs zXEpuPj>UMYrZN8V?Lh;?EPmVvmR;x|rPp^nRCrMI@HFLP< zAlo~10UV>`;+Gju6r~)UbYcSgCuQ@K>Llhc>8@kuKoOQQG4Qb0`TU=K=KkYf_TI5~ zfr9Z~NkLLD1!pQL1WOUT=iq@!ATR}IEfW!fM*=4D>?(?r6BL*=>Hq?CCTsPvaRGf% zmc4Gbre!lr34l;sb@kQWyYm+|T=03lQ5r)`3@{jt4@d=4CP|VAk)&B!ntHR5=yYpy zD-k+5f6>Yelf2o;gEQnD0*!_P7ebol1j4fbm3Z>wap|muJvR;Fq^(&95dt}9z4wE` zn3*X!AyDfCkSQ=As2Gw190CKNlu{}wq>zaqCTFelUdB?qKJI(E(ny!0?i>j=us$Q=PFL%40(o}h)o@E(Ip%U$@-~%T~Rv9am zy8eb6H_o4P&M^xjBnGXM$DVv@Zhp~QW5$+ppu-ji;ShALmv0ho<2f)p|UYg1~C#4#V zMlNvW$OR^l0l+i((hx;rU^4rTL2qSQ8e@p4(;W~6VA4?t&>UGL4A~f5rMEar_Zf|aOcDBjcMwW!C%Cj^} z633{Mq$-Q5Dw}!k1V-O|z0t^O^*}hNM%0?CEv-gs$9WHkQc41*5QrJ2K*ZpQ08pR} z-iP457tDxA#NOKY2ssx5F%wXTb1oncOj?LUN#KCwvs90UB zn;4LhKp2tiXZ~k400R+Ar2q(}EZ@r=2q0n*5FJMNxi53=d-dqOgOfi?xFvq#?~ku| z4y(_o!G7?6g%Ux;-&y?4pYD9@_iLZ|^r6!mZ#j0C+rR&6 z7Hw4hakanJ(5;31+rQ_#UVQ1qp|wM`R#RTgZk==QT(XJEKBn|{oU=DRh1nJLTR)oq z<#!}&i~C-%rs=yuM(>#c{@j-NUEhVK}E_3Y|*-~I-?a)0f!pH|O23d7F$ zmb7{!VO4al9uJ?p`L@>D-Rn=Je`9l;y~;kHjZdFH#AcN6Xf(JLn8LgtyrJ9cb?JfY zPoDbLUbhu|cz%B-4=U%3egT`!76qd4kMi25^77jdLa$#L^JCtB$+?xvzAmUjFP8K` z7!L+im_fas=k>CG#*M12i#I%R{+ZpC7nkp-wz8F{HgA05x3lGa;^sRZ{$JkJcw+sQ zyFX#CYF~Hs!19x}=;mKu-KL;xBl>sFedt3U`pQ?n(rh-P z20fC~h&URJthHH|)oQhfZl{V4@BL^rYBrlfh^UH5)6^J~B+16cMxN)5Mq_JhOKaV1 zHjOc@R%>NtrP*vg@W2DcnC0c=PN#GF^y#avx+>PzM&XK5s?lg%ym)bEXD51a%d$+< z^zh-sQSo0@6#zt0P)yjIN@Ah`V3uf)3x0&u(_KV-`7|mgLg(1772)sHbvo7U#C=qx z^P^xRjzNaQVGPyr-VX)?X0F%k05Bepx3{-T2r}qFNCP^|Hjq*H?En}~Y zJ}3IfW|TPy9Q&2P8%Yk?gFwe*gP-WXmDXt{g<=F2l8BK}q6Cc1CrlJ3WHt~Jb-TNd zKK#&=Pd?_X@zyFSq*93xJ>@S?@d|ut0JUq@>`4Ogv*=Z%CCefZyvcMhJ1| zCIm*MiIP%D8Fk5$K+t4c7iBpDK_H2}{#OJL2#kV6m=1afVn8ZIB1AC!_p6cr-1=)@ z7RN`3k6~gJhG{BFcsVI1R?tM{5-=k%#a34U8LQ^^@`olBx7*u0Wig&>w*(?c`S3#z z{q}GF_GmmxlBBAt#l=NLtg33dvcx4G5i4sIfl!hJS_-D$-|ctvyv9rcKqN`!LT4~q zSesv8--p3E2u9{0PZES`Sm*@gK_j>6$954Y#q#@lljHpWFcE-FB@J`jOaDoTgO zh0$4Kw>KD%&HU=Y`L+GEH0k#H6uc6!vvUE35GwHm9s~2oT^53iQkaU$|=M zoGAv~L3hWS%B32-3rS*>^eB@&ch*`{XmA2CIGbdd2!;*#K%PJZD{Fbh5JC`2W_b;n zz4a(?G%j55LQV(|&s_R|2;K*4jI%D9i=u)@O9}BxGXrs~!2=>6Jb7=cD$g_ko;|;D z<}5kyUJ)Ya|Kt8Q#1(_&y+BW5Q&mhDh|?5=1R$&sJSYe#1S=sVfv7XTOV9`4mn^}* zwL)n6VB%WBzXbd^y8Xeu9whm>PmSLF<`Y^k{N#_HoLg+X_M5h<@!OJCuU5ZrXZM;D zCx7sY!;iLFKXqxd>q83>hr^+BK1s6vUmf3ZrZKmZ%+FV^X264+qxal@;?%eN;YYvw zpWN}K?e>9to_xvF7SCVmwGUl+WZ~d|w_n^`85PEC)^7j!YlrjpTmRB`{?_mPr;EL< zZ~E$;SKWFT7uxA!FW~9z-VsO|>sRl;>iXaR)R&IF;WKZ}-sC&(jkoUm+_&C#G`V=w zpKffpolDm}`NZ1J#!G7ppKay;>hFEN`RM+$<0DVLD|u*n_n{{aLe;IyUbpjY&YIxe z=)(hR?c&0mR0^R)6gm;LTD{(y_aXF#g_5F~ajyQD&4hKo;|XE``XWiZ#sWuv;O;h@S2YfugE*QT}<`o@4w;2&H=s?gpvOD$R^q~=av@d zfw&qCJDr}^i7#xHWDE5RnNq||A+WO{_)JLU0i5jj1_N)#!@<&g-t82Fp*w2c;y+6- zn$92szc?^$8PEQvdfdmoR-TI&c*tE&2)-}#;U@4r7A8)ITwRgxrSS;nydBF@dtEiW(6&(AL`EJOf091eGPcca2&X=w=nk|b%j z+t%8_V6d>TP!vU!d&cUkEX%ak8s&c+8O? zkGr5LqaV+6gxYc35py}?BT<5%=Xu;##rKTElj)U>7(IUKc=@K#e>$$2%bMPwq1OP%Ri^>)QUydeFle~3- z0J2)%UR=!b9E22E#=uNq*<0r@P|Y)kAf?cWMgR(ack|Lyk3Tl-^{lD9bBHV{@hF^k z1S}IRl=OjI@D%q30zn8DJOd;$VF3Y1FaTg6VgQw8N@{^ZN`+e6KuUjR?%kVI%bu{R)ev%S!2wi|hUW#0jn=AHh~ zmg8WG3+GPnT)N;)nI=hDjF;DqBdlBil>kZ~0C<`!gVWdbe-^x}!S4knsx!}D6MkOIsu2jQ8zuVaz z_Ip}jEzuZ!ElsslB&3MDXlJuDl~VW+gpk7LDy=bL+3RNYhR~XoWS*HyO??<*66_y8 zT_Us=QtSn)OhY3j3W*rWegOaym;?g>6LE;bEfLj36!fGS;T7cXnQ4-agR|zCy=u2u z5yre%Ew)z^G5Oe0i3KnT#V3lj&GB90*F|8WEK#N`&YwH`)khyWe&6x3ENfXUvJ2BS zG~PP1Eg?l!$N)-fL`)Jbw6dl$qmi>N1eay$e5ewQW1kA{ zZHM&Do%wd{;>E@<{i`E)-g(`d-|(Nu{)QKx|JJHw~e2<@M*?t@_ko|`IWThdewK`_xRzf z7uZUDVRvAx+1J^+^G9EuZOlLQ#WVD5s+ZPf=Qfwz@yyBRlh&N8)wAY5xZ$>y`)_&E zv1@;B-2Y|Lty?zCfqP%FS@s9FT=D+?4d3g=A31jWBM;s;y0re#`_7zx*FS#YK*-=%e>Nj+-k}B<-Ek;#uJFQ+= zmgmXr!l1XoEg_Jo(j3w!@XY`D(mw_D>T$RbLN73d*HZZ5C)1Do$6xzJ8rI79o_yqq z$NK$!zxu0f7>rI`+SYT;!+Jr=XRi*c?-~94Z=}Ece)`!T`mOIvDX9aRANsLJ8h=_P z$47+=LO14o{=}~M=by?ueVrxi&%LpK_{zE7aJyMQ`Phyf>@?@+=I0k$?Ya7VJ=?cj z7KKpAbty+Agln%f*)y4*A36%8r4)#u#9*+aY|tzkL=tf>Zx*9sw`V~?+L{;0rW(Am zXnr;U9loyc=&}~1%eq&mtn*a4F)K;mBQ+*Ml!qRA=TS?d{FYO=HY~0|(~k z=ckZ58UQZKg`DQn%+^;;LwIHzd8ar&V&6Coh%=DsYvVJgik;c$o~Rv)baV>LIQ z)@mA*Wbj1J*{Udt@wgm~m?%wkz23;OL`o4Tq*+#!g%1-MzmftNmDWB4=RFGKNGdZB z5lDfF^v(ma00u@OL?C7g2&k3TT1iAALJmlQf&(dRQ3_%N7>`G;7**pDhtO`-8+ndG zjLV|1Ro-X{DRh$7>h-cRgaQcSR~n#Hnwsr}_4W1fVB8&yp|Vm+TNP&1?{>Sx;n15B z8};#cnD#ol){rOz`9Og}TnfZYTC5Nv(s~FGx33`(2t+9b0*7f;EmLd`CkozK7kvoi zq(G@+>oWm!03aXYzzCQ|LLwkjkOGBPLTPV`w3ZrEmE*y%-;uyZNy+5XL`y|dt0Z;K z25&Lcq(JAKR$76V8~{W)U@aK25m*C2pum7qib!h5%Co4wiM*>r58z`?%mn!}07n)d zW8|Ph6jBHU5!O@iKmmXv!KtN4lJvhH?fkj%_vH72Jtx1OlM=8=$SDBgUZT`A95iyZ z%#&q^0SJT;d%XYxK}@0-nLT-oDXa{46{ zzb!0z0q6pU5E4kV)|I!xhcrvI$VechHIe3K!VU1SDiu&LRU&a^-x?9EOF0~mq>{$F z%2?9YI-jWo;~tKMPSUx#g>JW3lvYZ0^t$T~UU`)b+_`XxojG^vrSoS_n4*wUl*M>? zeShWI29`S0N>o*Ond?Xhq10q(6}37(cp}hBA+ieu90USTVDb>W_s*HhRF!iM%xIzj zLyYKI3b3XM&IKRi4r1(-_TEsig{k_ZLFK)T#TZpl2yE3dPa&1EARtfVowrrZR1#PM zL!@4Wm{e;k*()sr_z(a^nx!bD^+6?C2&uD7=_D{{tr9JegDoo|MJlC|2+UF<5?gDW z^U;ILLio6=Ayyz%?5_i`*1O*;TOsign#oe{N5*b7JG9a{j=|X z_uszb?hpU=^1)~3*RO*>Yb#GKEk3b%=^sh;f$`{55=teJITYiDGmC}F3;Nzc`TfD~ zoGl*#_5XBsKeT!i-+aTbZ)}|V@qeCu;hxtj^|o`{omMek(@Rgk@Y0vgJv}$qzfSKj z1>FDe1OHf4>|eC z;rE>8sn%>x!74NIp=3KX5>s2tUr$_pmn>AOEf3fJ=zx|^p-umvB z`opdJN0!y9r&Av}-^x<dl<6-H`2*5Op}P_=H_BIR#6n~b~~=Fd7c+Vaq85mh&v+^z5e>^*Vfh^ zd+f1xyFEqQ5f(>{gb<=utF5f8y!6sby@AIA%@#bOK_vkC&K-R<750wbmhi9 zQmitF`;++3X-wyI?>DXSiqDDRKhq?lzfk@@Nfk5rz!V54vER{LX+tp9md4tuV&aS# z0-^Vk2*_03K3eki+zduVX-aF2HO~35sXD`+bxvzp%WJhPOA;N(&o3_4Tdi(qH?n;y zmOn}vlO%b1pT~S2Atb8!cjx`&nNip*1tNH7Ld?;Y3PQ@h3c-oe)>$OhnPRAdB*8T%a$8CZfIm! zOlKS8&7>N-Ae!3cyjx6{%VkPYBrccp9NNCQ1Fou*Q4&+g>XmFAJjL`eNd|2njle8R!CmW#4IIA zBItZ6kJ^vs+vU5lo3FsZ*%d7%4yg>1c_Y?ecvN+pF~79H@CNT_6OsQdNO|M z$)`>v4NK?1n%RlQ5c`&ylgjS?-o5wUcjd(wrmJpuFiB!j48W3ENWr@B(#<;$-2c$$ zf5AI8H@2Sq_$RMjzgZ3j-D;7#)yZrcLhSo?XJVL*(03v!bi+#UbEQ;j`nWCSp=lvERdRVn7Lh$vA-2muL)!#Y6{NB~NR26)m% zLlhtZOo*Lmh$1Pbprium3c|X84mpI_wT*_ZDjb`5g4%mTWF+StGnp!d#(PHyA$B2k zJs50ECXO8;_9=xv#1KTpJ6Bg#avWnyDUn*iu5jKl zr<97a1g1WwCIq10ofSVf0KTckkXlgd%wPpYOrWAj09F!1_?z>t>EiVU-j(=^6I@v?Z%u|5Uh~D(;Rmn%o1ggBZ$9$>*9X3EzJ2TO zKJolJ2gTw1@Es?k(JL>%@AjR04wf^ga$#%2ee>)mzW2g~i_0R!db%-wf9d|pZ1H7> zNAD+B9M2B!McBIU6_d@KqhIt#2PYr@^rznaOTYMvz3s;yea)>m%%1+!A3OKmTgNT@ z!7u#$Z}{im^qK1~{)xZvD;ryneB`6|eEP{Nx;Yf@o25K|)L)(c==9`?_rCWBf8+5# zcI8_6ga6`7w>EceDvub{mtk8(-qRE zaDL&z^PBgKzrwq3+#MbLvs)kkm!rX}#>J~n9=v_$$Mop%LoYqAe^$S)f8>9ePh2G*7cObMw-E)(#^JiwfxvyFTU{8hd=bh zZ#|}qF|Ee@ZgDb>Iz$zIs==@f3TF$F-J&RN-@bkQ`t{*(m<_dATc2aauU@^H{jyiCT*;MKtJP{f zFyuU(>({S8`skx?eB&G2w!MD+dJdLZtyXQ@uAKvU&0#v74u?bUeRfsl1OBW6*9@}H zjwo4fl(G0~waOa(?Acvwb=E^sKB`Ox<>#K=2cL5(PqoRdO0HJY^rKi zRe2c5W6aBvkLhAOe({QPPSk*iy?2FY@6=M$wX9k@oUInXOpcpw)ieztv2)lh;rNa( zOJr`kE~c17%|H>m7$qg>aNaBti5)q|qs`5?e8Cq!{nV3JuU-{NU5L!iv-9k7MN~fR z%$#D(bQpQ;Lm&FUM4EoLk4#d^U#X?@2q2pJzH5`JMIwoPPpL1-Cfgg91`-3Pm1Q~F z+uYvSV_%3-oD2uU8jx}XMjv7l1G8o}y|!B2cIEEwUOlMUYum35Z{J)lPe21|^d%}n zu()b_Jv?OgOiWs!)IyHDBkx^Vu=mJpqA5fXMPy=^fO?^>56yDft`?zhH3rm(DxR@) z>>WDB!g0x5BQltT6k-S=s0lHZW#Irw6Mzx38Z=5Vpa4b#0Z2eeHKrsnSd5kDaaop* zymy^p(neyBDzzg*%dJ;T#KhTCLAOfurIAxJAg=1#7p0g1kpZd!dFQ+*cI+Jb!t&g% znqo}3(I^|Okr)vS)C|=eLT&~D6*NOLFmVi}cLxW@%jN3jinCSb0rOs%R0Ravp)!18 z@AkL15H|^|8V+WQ`SlwwJ@T5@Jp0^dhT}08Ma-GL$RR~`#m?@&86F=`kB(=Pt?k)j zSxf4>rkS6tnq`RHs$GVg&B^p|ckkTp{)M6*iefTQVdvdxdQ7(G8-x%grMqi7h~$)M zzFI71)8*`>ZC08BN^}H;Z2tUG6wKw5d=&b&^uvPGm!p>oHv7*q9HlwfG8$m zUzBBq&HbEk}KJ+m~M9N~pl#S2EQ6nNda|jqjqLG@3r~|9{vJ$DfA||uZ$10%U;UnUzw({?KYZy=yz5(j;pZMKhnvUg z_@#NT%LUfM#$Yy&T{yfmZSVgRkNlZ`_|rc!{92NK+$`U`Tztz{eEONM-~GVR4~>4| z@xNY7pMTGnzpL;1hrZ#JuYLHw7dGkHYu9?J-#cx-eYX1e#dF_2sJ+9D@le&0qz}%f zuL|+K)$rd_r)FP!v;C8AzWvxg{trL-bUON_4>mWi#pb!NIFL(|*~b6ASr7T*JKo3N z{kpdLhpIKw{zz9k`F*^2m;Lb_7t+>b%t+IdX`CPJ;IbHR zc6}3>i5SZv)x~F?JAU%%Kj4aYVNq4(=tsYGH2H8bpWm7YH_P8y-I{I;;|ni6PpX^a zQB{_2y7JopH~d(t+!L3!7AH-KG;-zNhf3PGwfDaIEB}4^3Kto4G)Pr-<@xwi?|@nL;P>w??$FtZ*PPi4u> zIql~ZyEyl<@b|G<9$vlT92+1xc17Vz?~5WzY?_s?Yb0cg$z&R_)zG6DB$beYCR6U5 zA@(t3tP)aWaEuNCnMssP6A3!uRogK0{)LOP#p3w*IG#2boQ^uCLZ{V8CWv--1uV-a zR838DZl>J*tO24Cf`OjsG@yu3?85)YD3>H7S0!H>Y0Y4!4gqJ9E?W9 ztcJ`kMj>Kfl!h+EczAd?9M;33PpQ|?LrkX0Gy+gr6|B-P7qV&?9TR)5Jw-ro4Csgp z=e%>w3`QYvNQGLRtTVjn2J;+Q+q9+$RKbK1)Dd`=gq|4+&yEC?i98}XU?WjAP>8*$ zDhMKgu>py>1RPZtUBB$2Afa>2Oz0F91u<$+E6I0?O&>znI+Mn+11XqF$Be{8-Z^Ig zF(I|+oEjw2cEQ9h_ttXZ%c^!|l{zBkq9|NhiJF=@?;Ik5qUFYJl^7()+YK&>{NGU{=KE{*;5X)*%)dNF9 zc7_;53NDgp64{7gu{Sec6oe2{kQD#=_kX`=?3!ha5yAS7%HDzTTu-{*HOOuFk2E!ZJ)ZTs;Dj?G(2z46~kfD*|nES2dg`Gp1<+Za8ROZ zRSh*+RSmS>*#bX2zwIjDww-4xJoR02t_aKJLDQZb9}WlOot+(DW827`+t+X3y6#xP zV!h!|dnz=hJ12)zCdWX8RD|tF5FCaJ zO(LeqjvND1ZmA$u?+Y{QyG}(>0YGE^79o_Bh%m<9F^NP+T$DbGkNPvZrkDLDszI#t*>mxURJ|X!FLeNit3dbc%;pRBJR3u|m?0zca5Z0z%8y>Y_`QWIkFWg8N!Qn_ zuiW}qN5l6&d*_LF{_QWlGC$v6IGFv)H$M62?~K0VuYdTVOB?+^-uv>=Zx3H}`R{!6H{TrPJ>Pct zu?HVq{_2=2V$wXeMO%yTdN#CQFL?|fkRiLLL&`a}HpfBKt${+GUa zclK*Wf4Q!A>PxSC`n`D`t;>)3t~H-j!!x=#D<& ztl`*?YZwj5RhyA)9^IrHy|X{A((^xX-vbwlqTke~4(=Qt_1l;3#obHaH}BunlOJCw z2D`_&dVK!kXP$m?9>ZvNV}DPf`9~HHgjdJb+?Y?FD@V^Aef{LQty>!D!3Q1Mof13R z_+*IfNmCW)X+mAHpzJp9-QDN?aIlg%w|R)kUT6*b$)G+z*(|iig^an_@U;b5HPgY? z&U5otgJ0COO1JfzhpMW2cD7i~=h8r!`XFJ_wlT!(`#zb@y3b zd{{sIb@FDWaM8bHN(G4keu~P$d97TG8 z(+HTt8{`~2Nh+cyV7*2lRJ25zVoxbBvon`<=K#1K68?;J001BWNklfJ^vKYEmY$W!n3D66fpn(G@ z7#sj2Fd0DtOOZ4>%#Bobw+@q;Jd*=(1`32gonhNI-Kvq$Fe)-Cn29jv91a5jH5HX0 z!q5R=;k>bhbkX8e6`dGm)q z{EJbQ3%^(_#-kx*_KZILgFgvjjh?xnL&DTP?%pyE@lmKa%47a?|F z!hq*@HXXupHZ7}qG#U*@lfC_Ola1|qI2e?5={*<>hoim^gSt*hob%3m1!|gAN@;s% zJgB_`D#@b;O)An)hBYgsW!GYG$OK4;QdA122!;kk$VdpDh*h0}ASJ-gB&HytWt5^W z2rPyUO$$ff6NBYt9!Y?%NUEt141fk|sEAG1`HGpHLrVan;(#2mAcG+(umKWtL0um( z2@x)&yBv~})Ff90NY|KCrR>1TiSHGBVNG8%pS(mkth`qsxk@>_rH{42g=~G-yOB_kGvSVoA0&aYvh&XL%&aE_b>Ju`5q9)dV9o} z#)T{2{iWjz`U7q8X~NOO?)}PN+`9Tid+?6^(f0WZW0IzwA70oQ+;@Is=)Cm}*fV`Q&Jx`bK)=j!WUO`aLc%UHHOR z?tb!_=jV$>n71_0-l%g>j{9zU2&n~tUfP&erb6I*vw0tzgsvRy)%BED#1uh^sOkEU zVjm+#sex)_hbeUP2w-G$VF5|Q49uyvMe*Vea}7jJpTCO*}>U$T^6#hZJKA})iYMkSNk;uzW)7M zz@2pqYh8YxI@Sp@Wm%p(cP@Kyv%Ef&_bGe5hIX5@XDopY=iJ z=^|SNa%j$q_1J;J)wSX#T@~piLXXEGB zVyb+qGsMr3dcEYbUJc0Km}kYJ8SbwQ1D_?zU1z~%IzQ`b;7lLRy5?*R<=1=9C;u$6 zU#s)iRRF3l!)2eqV(Qe0Fh@KRO6J9tL;%d90~Ls7z~sFvJs=VgAqP;2f~ck@Nf69L zQlCtb(M!rhfB>Ksr@aJfHXe<(wzk^kLi*0sfD8?o&X8-@2GNhG9H*7amE8SiYZ)B->?tZOw$;>@B5IqwiX zvlzq}#0(HkEk=@n?7+k%L4z={`E6+rlQcCOyea@Ou$s!L!RHh&*5>7R0YN94FqA!721OhlgNSuPCE(QZD z3-7#%cBat`lEz-NXLjtmK1P(NB1}LCNNfd@h&P8?5@1To)Y?0wVqgR;&n0wJ2{SxqMzdgs8b>w8l}W(8Sa zIzb)ViN|QNM)m{LQ1paBUPJhZzqt=oy`zp?7F%dI6!4r zmcH*}S=O#7RIv-eOxwjWHPA0x=#yz8GX!-WJb))G9XoU;Dlx5edAha+0H>EfBt(bE zge{Om6!r{Uc`BSQeZd5hm=U}qN2n>q*sCN-sWn0{Mku{^fT|%%1mq+N1kSMn#vqHu zA|=h=$_|(q>Z+=$YBrz8W|c?f99X3)l9EXTg51M^n%$uQn)8uZNb+%mA%f{?p1&Co zAbLmMQBpxrf>WD?8K??imYE4NqZt~IDM2ETk{AgBf8iALqi3$JzWV64{ExE_%#TZZy~3ZqvFUJOZ@hHjqn~>A{5#)Py!s~| z+keOSmtVBsx^?`9>#uvwBa`awqp=QO{|}yi>V3Nx{?h&{t^`dtkA7-9JwF;X;Y+K7 zqc@}%Kd-tioNN$>gB#)ezTaQs`TO~w49dq=`b|gsZ<6zOUOG2j&AXidM8na*5o(gn z^Mh(ie|YA4UvHN6VCQ#^{gv}qu&hRxc6Y|*UTP+nFMjvA$z0p-IXOCad~jzmopSKo z9v(CuxPpECV>J8xICZZ6yHOsfa4;O4H0k(c`qG`lt2Yjoi(U<4sBF6*Qu(Gw{zcWj zsk=Hp3RV?|S^^nKrVFP{|cG_>(7NX>|Ixm+F|9%f*gMI$-pC3C|W+-CuO(==_{wr#7b zw{PFhcrGVSX3%-*(xv%)e&x!Q9EQ{PeGXyF*YFG?*CL;_#v^mjc_m@3KgozNBjYui z%zIq(#F?AV+t1G;^PR)tFodvJEGCml#^rfF$;y+w!Hi!Qi$(6$%68ril-JaC=GWI6 zm36Gmx)xv!e9!)zvpDlpGqWsJTBqY@#m-s1etuXUTJr9)kUbAt^Z9&zSDr(vs;a7L zu~_66BEMv3)%l-QD|>cM$S3f#3a!>&i*;Y&dKqDzasF9@+1YndKC1kh=BJZi&~-(c z*~@d?H-t{2Gh#vpbVv-KnmdScbGwQ`VN6Dpj8TaQiH%9ft12>*=P0QU!2sGqdPx8f zQ!+4i>^Q&uz!3vL!R5V|F5bCyb2-zLQtZVS1tE$mf_AypSd@q{C*I%X)et~Lyz`Ej z07D1{7DOS5^bsp2436rWpkgdky7`<$D(4v>^sSkZXA!NdIwtM9KDM1NOE80!&;bE} ziX=4vF|{NZ5}J5oAU7K zKu0Lv8KW|RFR897&%}hFk|LxSL?jx5BB42=k{zL{#AL}-vz&+>M%5@HDi$+tK_Van zLLy)EG4@Fyhur}Ni3uns$rff!3aYuFfXD$-?&S1T7RG3rKMiOA5(&{UGcxpo&=C?7 zGZLtQ0(%!v#SNMlRR~UtZ2RRBiGru3W@?<5Bgo~8Mp0GloFKf+`Wyg&n5&|GS6=B$ z*NMg`eM~6^?m{|k08S1Nldevtebf4K-iB~|a?*y7RGf2>K*6G<)XJ*wh{!ue!q>gw z(YEhC{pn9TMNo!-EA?MH_MH!&6~@nnJue_i%IA_3`lV}}^L2SDa`xJXt z^x%h8T@ZK$k60QFuq?R%1hIIF%v4MgoG#7yJZ&ptjHarJVC;k(fS9JP3y!I9Tom3r zA^rJBk%5US8Ymcp5hwzHkpZbjlZZJ>3Q)nK z#v}@00+aw9aSny`C}z>2V{+t?9VGz-ziLv5f!Mji=M8@@;d_u(jI+*I6cHVJPs6&N zuWlS3H@8owcfR{1ZS=2whxy4ooJ^}G(Ce00zw626^kn$YHg5UuH^1%0zjAnRY4n}L ztq+`U4yNtHllF^tYd3i1?r5}8537T@z4>ivvUjcxed6+P`RK%dcU695=-&qjy}kkC zxBG%iavmXuzAQW|gjMGpHAy$`p@1Hd3#*Le|4rcu#u^@~+eV@MGDg@&c0V(76@ieQKBG>Mo2_X{ZMn*EU7 z{-`RECotXM;dZgnj(9jJYp)>V`D(gcEvtIu>k?H%`*JQ`t%codWR|rz>F%xTx*S%M z?#6m#k~_=0vqC-JmEm&6i`f90arSsTe)Q2t=kxikTeotA{5nYFY-rC~WuCF-S&ljD zRq|Z1UTw$+pLzOxzmZ*wj2&+9PjKgqMxdUtEd)*7#`UA*h}$r|6U z*G$ePd#;exz1v3Om5~E~Ijw!6)F^DuC3@3Gc=l0FRgTtn6V(5#a z0K$|kceQ4r@^CoFcvlrvm5_?6sEQ)Rga*}cG^_{941S07{nNf0TD1EMYCWKO}dyggnSxIwM&tRio(@Jfpls#Fi=qu zNrDuR2(ijuR^)`LU3vK(7NIdmrH-3rY z{7eM_91qf*VzvIDSc;4T5b@5(m_iJqfJ~|eAxhT~TIIY08xO`Msx#v#D1xn^m(mr^ z7t2~>MCrjq8L405_$w@p)7I2w;egF)7#x;1C>vch0M% z7%?KEXEjI~Lqg=NV9L&OApYEf_hEee>Cd|wE(;Kqz8nmS$}5GNpZdgpO_R%eU-tX| zqfCywk6gMu`n*?<$DIg{hWxs*-KgyiZd8X0uZ;EOzPoVL3QH{?6KO5z~9V;?7&%>L0!~fBfIU#Wza%=#%%szj{^sN2@`7 zRBPt^euZkH3F7*yzJg%ze9p3$9xF(a%j_Quj+4#)gLA z_OYt1ocZC`ij18n``)<{> zntW`zI_|em4la(Dw+cwbqz!uI#;qP{(6m#bU1_uZK${yI$s$LT(MQ^ zczHzWcpz@C=tFn1ynT>js+>bV9F9j=m8tU-=P-TQ_p&6|d?1v(W$SBTuiK zF|K`_Sv`{F>>1tW!9!IyHa2pL?Q*&F-cKfz#bS{|EzhPm=6uODGoAmNVQ7xhU#A9T z`h2~ke7e?EwfQUTY!2qxt!1H3&Zo~IGyi3LO`Zz6uFFEEbwEwV_jxZ_+P)6ByxRC-pfGR{yN~hMd zO4j!LXCj%GDLf}9rzT$!h?piYr;x+!O+f*pSV$&-o%EzifS#RqT&gRWO@$B{%$0?z zm1>L#j-97dyJk!&>Sas9^8BH zy#NsUm@tR9#qnTR7KO2|igIgXb7yO7xme7nvx9?!Qgk3%B8{E1zAx)~G8jGls#k98 z?%iI@y5$05fWD{U5P|BlB7nB*W8aNN6Gbot_Rff6ikzSeQBlDm0-_^t1vyp#6JrF< zv^SWD28#)SKnuuBAfX`&7#RT~05L03Y+@gSL3VC{q=*1wk}F+3GnggSWTpUWD2AZg z#}J~GjtLNuV~Sk}#>{2aC+%ahO#Bjt+dsF^EfUlfQaNXw8!)kFw1i*!si zhdjcm`kW1uQs$EBH2K{$$Hb@_12Pg3f=UcACIN)pM25^r1cZdl%%-Ly8bu|!9D&N5 zQ~Z%YQz8UJVCJH5DaDr)-%H;gU%wVo%z`BLo*gMj)2z(2EFFU+3oBnQovkpLCWtY1 zl2p0z0@j9}h(e4}Qh|jjFtbBG?JENd5^_}8J(uqjgVk!ql8Dg}iJ7Pp7$BIbC(I23 z*@A@uA{b%e~J4=Kh$sj&|m;}NlK6qU^8YE~L}gLbv5yN;?d1|3w@ z)?{P3T(0Kx$zUikfU=npq9@2@PzHu5faVMD(OV1%7=tk)ATgkdBu%VD44e{~Ark_! z5hVZ=hd_Yr3nqXVySDA35E}ppkpNgs2|AygcTOe6D3X$yB`OSvb4OTAmFAxnm>m)_ zDQHm?fl79c3C&a`e}2pmiqbP95%!@|RWZ^&Y3d0KO-x8p`>x3ncxG3W6+1tu3N;f` zQAtXor=9AK8B{^cA*tiKDv7<_P3AWQGmA0wU1zF}7(_KmjT#{$8IcKMREb?<Q4>q<1addTa=b8P%xbC*vr!P-;p1gi}Z}c70mqv2*Hx~6S ze8HRSt*aQqil#T>Dkb?U+!%6s@bGVsM=v%nh573y{iuSns;>L8==;!xP}f!Ic{X2+ zX7gnTRHoth7hEtW{itL`KtomrM{NjO!;1QrQN1Ni5`zp}F{$cFStm)cX}xn3Ke>JF zPu+iMXx$(Bk}p0Sjeb2oaenv1{-OSH|MsU}5q`u!`FWeJT1{sU{Of-*SU&se)z#SC?P+^$dempmYUCd(C;bij4^Kr6w{bBNNPxsElE85Vl+GZO2q|&Y0QQ=)u=+gjQy|<-F zx!4e9BGdw_NnI4hVmV)(oVcVc+MLX~+491uxMzFo#?kSF7IjJ2=0}G&KeJNWK7Zf# zh5HAaTk|Br^+QU>H(xe$?Ts5Z*7Wl_&LtDrSwOO`FJ1GsYw((bBQpwLtI{*nUJGVa zb+uY$Q2XG64_>==Z5=C_G2&SdKt}3odUy?*GjE;o;yOt^`)>0H0RWT9WQ{K~xX+_S zPPEKOdUJC#$Fwh(%PiSncjac```K{MyxELy^Axd`jApc&8S(Wp#aisX7R0Y(G_!*L ztfane+q^EZo)A7OoOHcfvKCFPQFWdx)-e67+CJa4_7$9!{;zfOd0+XjvM?!Edad2e z8P?~Y^KwLfft+)r(dexFW^JX-k)ZiS&+nXd?ESjzHlONj%*ZEdy+rWe58pEj`GAzQ z0H}#f5x`VM%>a|40tEK+en{ zn5iXEHB}-}ebqw`UA%DNlTSXmST6D@X6BfZiVW+)r3)9ERdeh1K}u4UMT}8J(BRze zUdet?RlDPj`}WVTmaA*!UhJokJo=XoSp6U?{0K6EZau!?JKhtP1E|%5FMDhoAsSlSav#N=cou_l0u> z7!m<92PP$EqNElSat1t*2enQt^)ZNf#{`gaK#PeXDl!@+)ubUQ7ffUjM1m-oDW{YK z0Lc|Oh0j#80tx|4l4Baxb>UrEl|+;bebcv05{VETBZH+F`mT>6NrVWA83`E?2?61* z8Ax)lIVb@jyTUt=Xo$vy3I?W{R88#kb3jZk4+oN>#zdY7kB%>$^t zy!xEJTitr$nXIVJP}(^*wE1!li1o0Nrb(f>le(nIN@oaBrPr8DSS_k_5(r38Bc#*@ z2J+skP)tcu0;H;{9CO!on;RQ&-+foFUhSsGCTeVCnYjlsO`@5|XCgJDTqP|^q=+a< zn8+c6SnPTx?vsgks#=bqVsw&*-f7#M935ZW+`M$|TsfKCn9oj5PR5rmviC`KSQN>* zZnYW>2RYJGC3)|i_kmK(zGz2So-Shofg&0}mr_YY#12sn`t0lN0xFOKD>4u>B5^_> z#}Nq`4RIA>*9)jP=YR`MDJJVAxu}IVB8&ndT1rAbIbu33u9IHG6A)ohRXI5}DJY_H zg@CFOV~QcDL^G*^AJ#P?MgfroU}$W~NQF!d5*V2Y60j=gjHJGeecKutpdzT5g38@1 zc$S)hngh(MYia=y0g)VMiC|F_p4n7DB=sSIR)sIHN+L+8F-bi2csM3tTO*X;Qnmb+F?nlZ_2n!tr!^GM!cB;M}=$ z)7h+Dj=tdY-hA!qYrjnYkK*D(u<_Q|D?2V>gX@p1;{Sjt6-80SIH-rWV%iu@j*gC3 zO}lRZs?zn_b=VpI$8Ppjake_>u6C1eNJ%eVdhvyKy!sQvN6uZN%m2QEBl-0!kL|^F zd;eVfvG+Xp@P2jwr*^03lINn}bK~*zAxv*RdH*Y(*&E{F@?GQM8!m7E(ni;m`1wc8 zW}n1YP?WA9Uvv3L^~Nuhuf9`!<}Y^L&zGY`S&Pvk#C~x+buD%+t;`3kq~5G|2j%Ei zxBA!nzkH|sq93U*UfSH+-x$AeygFLoY#BzA4JeAmYCZ(H{o=_~{N`j7V{xtJgX4t0 z+1rnUt;x`Da5ulRIvy6qhvCh?7fZdn%mn6s;%9Lwvbul?Vqubrd62BUy?qNY{qmlgow z;P$~`N)(l%Ok6oBD^uv=RGHavF{;j&=bYp1&GAObwp_-=QZPnokFC14zx~K^R+IIi zJw7@JVU^4kg&PcN?>z`8dPMiKjk0}z?b@}q<~xTWGV@}wP}N*)WM;?5$5{lwmd)h< zu0wU!vYh<;HSEifJ*V9CeZRlIud3ItU(bmD|7Y$^!!1jzGQqXhH|*g|cZ|3(Wn|<` zCXk8DLJ5ciSOvu-*wP5vw54EUl{1JV+9+y^D2WP|(2b&nZJ{z1A_%CN2qaSukV8a9 zMn=TF5%=CRpS|}ttkplh8{1oG^`kydk(?j#M4Y&HpFMnM?{}^B4*RV(+nS+mMYrMQ z?Z)@ZRTD~1F-eJzl3-;5^i9(&FE6jJuWxT}&t|jfbXt~W8Y2`%k=o%cgJnOlq;}gG+ku1&1L`WbuuG?Q;>kTw0RN>lVmmkbw)o^I))#asnJ|)Da zuJf|<#ry8bdR@J!-S)0?q1#&yRgFq%R9R+22*Ei55X8VjM8Z)4SVTr);7iWlN(co3 zguKKMxr#wED*z&-5D3^%n!y43079UYQO0N;IVhHnHFXH{hNEX|G!psHC*anCXx9!h*4y{|?W00aq%s8N^LNANDD!Gt0MF#w_h;oz6LU32;IyKkQ$ zVQ@}sZIp7}Yehjkh=kxpB+qlLkeNh)nH7@B^W4}NBZ%~uRyv)|csSz7zHV$r1!zAW zcLq!KV&1j+RVOY#e&WRTe17V-i`8Vz{XUhY(wa0b_4|uzv6xPmS5|?LL5wwmXgqj@ zA;!vkQ4qwVsN7mXqRg;^CdR-~f#{UaBqDQ1n9`S#P^D+LR>~;F5>=E!>)hxlE<_dr z0BC&FL`tC-2*64yKr31ahA6;+5rGt9@Jg7hjxp-J!C4FfE^9Os0=C4z)mA%noxjH6lzk0NX+8A=XeQiBLILxluNBXjtndjP!owj<2cRd zlqMZDDY}$9E$khKpb!a_)(QZlNC>`Z93crJhgek=g$P89>T611+YEYJ=bzcR>l<|T z2gB7bZ++J$X?-jl|MB}?`MBqT9dvgVH(ofq^KWC>TisY%`@_>_aNqc`r_H=1x{~3u zu^Q@I!}N(ac)UI80ahy|^$V=)rjjOVE{s|)^OeHJ7*zAo?Fa5I@3_4C%q!-{mqL9a zz{YTT-?aYi<&`I85~#d&F}=3mJ+QU4xm1=QOHI{C3>42%|8#y`_9*kVcfRw)!>+jM z!l`pE-#xQ(W^{PxZv%bqn(H2a>gmhBK99Zi$z_$DosAqm_dPGaxN%@`^>-h;>sxZS zQZJh2B74}CN5_lh?b93A-t>N{pM0?QCu-?Sve+CARp0qsX+4Nt9~UYF7|rX8it<5GaF{ir-|zV7%1%K= z76@w>hO@spWpRII??rvxWWKnt6$15@c;IL#L~kh=qsr!KOVW^5MAhI*#)8ZHucX18I49;JL8k5PFJ3EcX>LUxChUuqTiUzp`Fd= z57knSF^$d+-$LLvWsb9bm}yx9Ng5Z@AZ14(WoT_6-6-|4v!r>HXe^d2nP-vc*G+f zv9hxA(T{#~I-QP2Bc)WQ(_!X*zn^lloO9i7H#t=5OP+(NbV+oY_H&b^Ps^%rf$9Fh zsdntp4kB77qO^skX;N*FJ|)YtwlHV~xUFB!e&?BXM6kawXvs_a(Rs2bN@ItX`<@07 zttCtAXxTD?Qjzu*RyJvu();Zprz^W(ERpbin_-*|E&Z;wHvMqxx|3EyB6PJy-B-JR zPZ&beGd)MuCwnMn*o_ogg>Dpz-dMm4$Hp+$1pFBMo z&qWvgvH+0CkqC{^z>&QJMC6EC5uid$Rvw9_j(`Yz_C`bqS~Ca-2*3)22#j#Xk`@^f zu?UN2=RpDj3y4x^_9A-;aL=H_M~Mgq5dk@{7eqo)xv*jpjw~Q#i~*JyQdb-RwIb3Q z2$?02Ml>K0C3=p*H5@&Nls@Ye1xmt(kz+(uF#tyo96=KZF`)nlkr*Q&S!=VhTPT1| z$--feu)s0yeE|tUq96+a2Bn-9Kv;;0iWPHRh$ z6*bO<2ud4#Xz{&B^lpIwL;{L10uV9)#(*rsECduF_h^7ML?S9s_q0mta;25F+K1qs zBSq6PG6*w!A2?>0OpEurBT6Z)O$bXF$^#EPFq_R9=khG;b~@A9RFl$1V}nZ3(W6I* z@Z$E42y$fS-0IS@HAX@l^!uxW<<;et#cZ~i%`aZKkXKumA6V;WS>Kq!`az1JQ+BVv z;rdU0;r64KU3P9Z)5bW#;5kRgGb_o2wOLqe2}ztIBI0O76rx9t$SIdrNCbolK@kJ{ zm>hLj5g>wf&T6f-QCbOuXCIru2qYmQh$aFt0LECtpp_Pugm;mYh}6yl_&v3CR>T+} zMga~{kfTTp0Tcle0fO_s_923B%2zQ8fdDj!MG#8j6%eB|B1K?fR;W_IFcH$;w1Q)F z!HZT(X=9D*W@Y7E(=ZXD86bB$60l6f!W#Qn0plbjCgdycRL{B0{shY?t zB>*8t08&c(5Vh73D8?AUlQGJeuPJ_x4$Xnx`&Z8`kMkSH<)b)Ltl)Dj|9f@ej_BMx zi>ylT29s=DRTn2Oc~_qOp0U~5p(m*Op2ht0y=-mx_Q~-VeDA5jXUpMJ^x*Mf>;C%O zc-DPPys_8q<$1YS)XOU?)|j&Me`R*ESp3$PD$|iSU18sIar-gvea~}Fo<8;?KYEAA zp<{<$H{AT4obNb!$1SE@fA~$0Cp3%6)GXZ=uKv@TBi(Sayz9e%^Q`Z^Ne=tb=am1jW>N;y&!e0Jh=XrPyW5h?7^MMeP_0HF)4cb(CT1m z`C;eJoegfo?R?8dZmI{~aWK3b-0RDD<#Hz;h2qS7vBOoS@;pcCXonOt?Wp{vW?U_{ zoB7c2qRc2R>i5?2rlpm_7E;O9{KDzk@YAPH{Y3V|uPXGzdz-U@u4aF>*Wa{*(PY-| z51gx;`ECGNJ+QtztuKsD1LErH%4OHw;9Rp9UZ~<^YiGCcRcOXB%sLh~dYPNf&u(vR zPG${}&z5`<4jeeJHs}N7cw`yGca&Mor}OAVWh^k6jB)DM=c-dE@$*cZp9c6N^1r#L zzT@J#rwiZQ?fh=9|Dhu*->CYpb1Q%U#V_nmCe9KKvIgYbxy^bqkq|V1Q>F@yqP*sg zn^z$&>I>WVJ$OH`M~>RnQcbXF2F4yR#6ot^2N!EPM7EbLB9ueS&?y09H+ zny(&MK5|UK^6o?DpObKB3kTaac5AVckWkyRPtYyVHd>ZQqI@I_-8S-5A2;>F)xKBi zF>h{eE*6WXX%bmHg}JtE??Z(m=eCo9mLRl0Ft|P2X$$R}|9JS2E?*i8 zB>VjKRHSQ~0D7yb-CxzD5^n!_Yb$|dmD9=zT77M6r_(Bozxwe z*%U8nGlKV#xzp)fb=8$xYv+7k6r?GsEYfvlr9fahnUu~Xc!8h zoT*oKPu_R(uKVsD&SwV>AH4I+Up{)xbq~A#hL8XKXOzxH!$|<$?-YU}EY|Kto`DF8 zC?JJsQ;S(^D-`z3O@JdvvXVm}t-+E+Vh#!W7zP~xM7#(ClP0B<_aU-V5rhyxS&&@m zPQI6P!6K|RfLvM_$#w*l*4k!ixg$#8ARN$pVH75%NGlYM-m_y47@gX)?3Ng#L=k2V zvnmL()dpDrL?IC{0oXm|EE5ZgV6rY}1|;y{W|N2*KuL1d5Jr(b^CFI@lE4-Wkm1EnG~Q9a^UEF>XKqAo&MQq=YLNBUbqg92o->7 zmC?c=Ai_Szz(Alnlp`a$s1z8|N}SZR~ zq}z$@CFvZC@Lr@ujN)Si(u7Ka0+n>;&U=!77~?9XSfcm7s_VcJG_i=^Z)e5~5Wx$f zR#b{WL^Y_<_ zr`NOJLG?ysnk>&4mc3gwx^8$_O@`hG;xW*_(!@XAnOW z=TSQ!fBCOocyqV=+JpV)A80=Ir{Vp>&P!iIKc$Dcb72~x3yi_>=v~3)1?l%6`Nezx zX8wxoQEvC{&)oT`ANsi`9Y6Z|^B3N*efC46oqI07?0L`swilf_d)Z_**I9`~v+3jP zN3Jby{S_g3kD@k9tF4&5Pgm+?&4m$XnLK7kTIK*FC8Rg7e9Z55Mt?_n$fb z$Q!@uVGsMRcmB~kfAY}#HgBCg@7NVjf11v8XoAhGRQ3Ggjxn}w>X85b1;UytZM4&> z%+QLmIx8&Y!37~;=`MA-S7+1ZYHXvQQ^s$v@vS2e=NHwyj}nd@(wRMX@y?$yQz^S= zOM``uP_C8sk+@b>{j$@k>#7rn)*6nnv$m2KrB+%1MR@FIvwFzL44k1lu)fkY;-=H- zbmE92bKWVmEsPxumU`>!ow6*2^U-LGn1g`DB67oXKVMX{=}hL%JMg_M3p4825BK^Q zs$U)LPL-T7=Gm^9&8NSP9f{f2h3#|aw}!K+3^HzTv{(=l7#)SZcXeGUhRhB+cD-@F zad8@>_!)WE$&KNFG3po{`ssYG#SfG|w6P);n{Ii0tyJCdl(DIpo6v-stErw&gL}xr z-M)f$@)cdxmXF>dv(~02x#A#V(ut18W-0r_ZegFReJhh~1qS;ee)_N0 znzJ1>q`<5_zlux7m#s_v{;1mh|Jx2O{^8LBkjl2S&&HUPleNFJXm|Llj_*xTWOV0G#aZ(;h07QrJ+01u4k_Sz@@v%tFLuM3HK$ebW^X5Fhsdjcf&g^p?D-S29Fr0pl_EtJ2?zxs`AkLz zP7aDBq)^as3<6Oh6rxPT#8F9X3RDWkC=pUbNJON3>}e3uF)|>;7&EkC&nRUN>n6eT z-U(y|+51SPl~!rB6Dbu%d`zVn0*CYopn#b`G=L}oKnTJLfshyxSu~O&1t8TY2%3Oc0*e5Jh*gL_3Iez=$8-xr zGFDloZEy-H%Zybh&a23Zq$sp#WsC;F5P}aOc%}#_DFR7CWDs$#vDQA}2~RkA^5mH_ zXR@_yu~>9EWmQ$c(kaU2<>eT{U3cFz8&9;>DbPxoCGetJ9ADd5?+)tOV!l1>>TDx7 z55Ml3t<7_nUv})==DGL2?|lz@aYVv3lU{t(}DrcYNW_W0xI62_Xa`$TGt* z#^8uZE2BviQgRM68iFtYG7HD##EA-#lqF?EB1-^ZQrPh(Eqdn2glr8eDq^lQDMgAD z0YDHRP-Jg%?R4g2Oa^6p?IOW+^HgX77$Yl=nm{7}b5++;RYC|_0cjA_jmO4IYQF(Q zA2`vzv?9O|;-x%x6h$dbstKMTl0*(oW~|M0;()U7)Kyj8xFmfD;yL;lj4`k`yCY#n z5Ff=kmu>>gK@b3l46z7HZh z!JVu9caU;j{qv}v7UEw72tvcgZcVFURE(;bUVQoD!Yh=?jeSq2eD&h`#r$JZPyPD! z$3ENR$-LXdLC!zh{h{U;`@KI|kFR>)%|D617+yae1x2iU6+(0lnlRMHylVD}H$C+? z@9cc!`akKOz54#2yt67&zxhCz*K57O)1LB{i@X2%4?c)nyW7Xt53DS| zpW{2K=@Z9h_wIMx_R8^xVcxv?Z+`Ep?C{&Z?&ck}_Jj*ht|r6HvuCHXo$a0RqMvn} z2^~1{flu7}@&EJ_SKM{~6Hi=u+2PC7d{kAlq9CJmJ==~pQ(9Z{-;F=^j_H)RWSc5?O_w+) zFLgYB_T23Bsm567med(Uhh4(e%2cB{bxIYPh{K9*?b3-9b+P znurr$4M&WA?B=5%I=23?LBDRArgC;pBQW4^}$Q5!Fb_CmJJLLsw~TOu9Z^RY(D?|*7mT;c4uRy%Iu(Z3U+tL7bk91 z#hH&Xp5&u(;92?5;rj&XS~%N6x3(3%ABVLa-vk-k0NR$Kleh;hdTyQF_Y>CB2d%EI zKIJJ-`N9{zaQ^)He!pMWb+_AXoi~@4ml5%fJMKv8*n|<&78Z*|x7%G=Spk6IaF_u7 zl~-Q5v$ONaM?SKy>sxQV^}hS=yY9N{mY0`fjMrX!?a7lTcXxLYvET3SA4If=-IrS{cYJRvnS_{=M@>Tctq1>p3QeNsx5dC$c+#i$+wHgPrv0up?LZ^( z+S{XOc~fZ%t%qhC)0>KlRxq6;u&GI(63X_Q{kOxJ{S^F`l)wM9Bm}=d-Yccs?lrJt zOs6-!*_HvVHu|fL@0C(W5@U#r2q}1oSweIi!rn69!}Kbp5?vZ?0rP*CazJ~ID-t8O z*JA&70T3Wfx)mwC=RuLmq;?#Xbjht-C=n5$G1?dt8ER&0Oyszz7Yqyt#u|1(E3LFW zJD;Ap_vA`hUJoZ!#C26@qg=$r&SXY3pG|GAs7NA4C$d&_5X5LBF{)Io#7F>1MPRfh zqzC~JfQS`_2z%BdBD^OWj*$UKX+?&O<~=o{i{4A%L_`N9M1x2IM9^i_q(uM(0<$yZ zIU*7giU=ozOaT_~Q9LP#K&k2=)CeN%eGJTu$N;F6A(bggEkgm}z4|I?RwIBAB>2P} z1%&~TfDzM<0k83yg${6d5v6Q;I+q zMqv(tLr}m3kQpr;1tG-Hc<+1^W>jK~w$_4Dd(`KL3f}_}XJrs(-~d7qNT3OkIR*hA zF){>+F*FKMfwG#c7%L2QjU01lX0cX)phSp+bJ1}F1R?+kKnQ3Qa*PP+>jeVhfrVu< z9v(V$aCv#KxwSQ!O?P*9iy~h?uy*9g5o=VInf3Lxh*&Qw1afuLH5mae_xcA`*L+nE zH!niu{?gJ~hHCB(l>NW^=*RB7_nxfC1@JFE@ct)%%QNOe+TK1NPMc}Hva-4|$R&!k z)@qZSYfwOmXh2116d9#0ksty>WQakcpdf`1lp$r1C9)6_D5X@e8qp9si48jk0t8x_ zlm@E+F>(gHVl`e`Zz1RqMQH^9A%@fz03;&nm;wRWI|*KikVN0OEVm-Sh@vzZ4WxSw zgy4b2<~gBiA~ew>gJMKf21yepb`B=pd6W>j5k~e3Bue{Si7cUMQvO0p(FG9@!P%n1 zy`ZdQBg-*>cY9tv01OC(%#o8FK}Lv*Bm~#^dEFoqC?xWzG$XmlktL>Ycp6)ME%EO; zD=w^De&6bG#r{#_>fJj-X#9I8vxT$65Sv(zIg0?>@iZE@Y`Z;eI?BE!bg~`b2ZxvU z|DV;n`s5`ng=(3^Yn#Ze$ijO{ez$Uod-`p_NHUUSC0SufuDVH z^_bV*|C`V44L*MFecuRpkDXG_qmj->$;B zmsR!Lsb9`|cPzPgt^2`B-|S-b-ShtE<{uc>yUHGaPr#R8_5}p{i;LBNi=SQ1zW9On z_I~`ww6WFEBNsmWk;uCH^-ubfH@)%b+A-fawUnD|eVTv#V)2)`dz+gKdyM^Ne(vnK zBbTi#8kq{swUy4m^!q2Gz4lzQbzyTP=0#Ur^;vcB!3WRI8s=>fposk=d1n!uIl5Wq zN4|pDWV)CYvj|~c5Ld>0Qvd)U07*naRQ|l2?R0i>YZrAh9E~>@`Dcdf0vZrUweuNa z(fQ)NCyBAlb0QMwv2iirXfmrCAB|{5q~?XD>2xO#)smK_%q~DS=Ud#kUN67*)3;~6 z!q}cnoGAvo63xkJmo3x zd*A!YvP`3ZZnv8bHdzC;c0es|YrErZSAKs-yye5ROrAE#wr$*|B4_{mX=JhAAdYH{OpJCE$O9=j7=p$>*|wstPPHBVP)GjZ@Dq)NE06^q4RV_TI~K69y_g7e@nC3 zZ*$q6ko_XvcK4F%IvH-ZjIVY?(3U#w(S5b`waGi0W3ox%OMGh(0b#i`lTfG;lA$5C zWT({kRqB$e6og16%91f!Bz<4@^r^{)ky-YOp?&bdhy7!pma^3nv9!_FW{M~x7-JNv zn0_$^K+)D<9)Y3{?!ld{Gt*HZ$TrWdW>zEgyCqsPo=+A<(KvT;Jd~wAm~8GE5y~>F zwIT!#AtibtF)3_fn8zx{D2N1#IQ48PL0mx~MY0!JiOP^QRGDuRMA(}Y9<5Ltr75ILp8rl{Z4DixxDHX=yy>^(7)uq2*Th!TS+1xh0+C165? z$VxF_(mF&DNH#bEsXY-nv2lQykbp@6D?k*E0XPyOi$s9L6NV_kd*?kUX42gG)5GBR{5u8f5L_uK^kQgAu%xFT?imWj~Bzebjw5{bTc z@V#d^H)_n8v8#qW+ve#61hTvwE|67TGsi4nL_Xj1l*e%%x&}(Ai_x&7)v-bE0?XO0 zo#kx!Go9Uew!>Upu z#i76P5sz41S^kCB{rtlp@xS!f)EDn~?GqmN#PhR<&qn!);~TJW<^lY6e8vZ+fAr3W z-~8Dx{`n7{c>LM%d~x?r9y|VyL#uyReeQ-2uRi_r$6o%wzWXg#egDt=?Ws4t?&deX z=G4VA3V!*KueW$77@8~>N?#>&y9?^t^I z*`xQN#=&T7$4~1l6ak4r=h{RCy=NGn54@j`s*zdxiT+ZjsB+v5-Uo}&KlQDtE#5|@}FP4c7RAXjeB+Q zFA4Sb&ZEzT8xHhFSq!1mdD4NU_cs9vttyn`#duanXN>x2*7-wnuNV$NR5PF9Y*Ag@ z)ha)G{(J+_9V{DLsM^o!@#*pIYKAJ#2P8A&OW~^ayB9VM$-#pMh}3LzYq-cmzUm3) zbv0d72s!3@X?e+5V@QdQZeF?I5sSg#Ai23xWHK~nKp0kf*+6`Uq;E9Nr@PJBzzUT) zx4FF>(H1ZpO?s>Bd=p}5TnM5xLRppyd9m}5t@gHayq|H=;;_~XF@cZP{-wosi9_E8 zCskF|vQ1j}o4{piW~Wji&-2-AmO9yk!N3@^yStmDx4m9(d3iZ`;B-2j#QZ_T;czG- zyl$=bhZ znxq+R>FlYI-zr@9yZWS-c3Z}zGN5&{*$-F~R!$pirvWXbYh%1x)1LMuCmhfc(^Km` z<RaJ}lTa|MP%1`wV1` zmw0PHgb5)hj(ZA%NCuby48VX)1jZ<>lc5Cy>_sZ2Zyq8c0up6efk+&qA|kCYg!z1S z_dQ>34$Uq*c&O|Yb3Z5QTyel4T&mrDB(Z1QJ9t1eS$aVvGzvMF>c;%14gKOkf)cDuMv|y%~|(`*IUS zW_Au(9%BC-<~W{?z4st{e3W#zW@bbM=s7wTHWm%(*!VgIYpoD5l4uoEf`-xoFvh@C z3W!pql=heI7j;uR=MYIzjEUAc9;bU!;~dvD5v{JQ5WRSY2!aeq3K+5C7$Xa_ zR*I0=bBrDUoK#4PG%DUpdj>!vRtk-ws;UUF$aPbDZ6wvZoN^&RGHaD0h!I$lg^(}> z;ozg^xR;NI(F>zSViEvrb(ZO`C3!6{hdWQ+xj9@A3P;D@+ss;YRfwI8>QGHbn^7Q} zHygYHV>cdc#Ukq-JP-({V6n)TmX4Oo{SHHhGrzhv;n-x^RO`i}X`C}AJ9l9+9L@W4 z1*iaVeZA)^@J-E~?JT$2n4;_~tvr7F+#8?t=pXgrja&E5x1um_s4qIZ;XEGOSbpwn_j>Ecc1=&<*N^j znor&T_doj0|HlAzS3dAVKX%2h=k&zj*5Pue;b>>>MoD^O>rH#O9Hx-qFcV4_3d+({#QVY;Uf<{3qV5YTGD@jCcP6e{1Q%A8kJ-%LRfVQ$SgkibHEd30y>hL`ojOLCD5bhITPpjR z&9*i#cyOKde7tjUxofe=KsbOO$3_s29bPI`H_j{Hcr5b4vEvbC>?Rj?V2({DqI=z} zN0U*6(iWMHg3Bw#%CeqK>W2{AFBXfoVc!~Mw$Xtt!8*11Q$sfaR%>k=%+z-7_q(sO z-PyXXTS`ollePvm&bh?QK6vn8x7%%-yXogsZf@euCyV{@c$~IFM0uXi=kt`t`uWd) zzN)IHJ?&{58yklX9ZGvu*Y(cMP6GFBFMMNTqb13tk4Q+jJ?aE-(|)#umb$J}+q*T2 zX$1+1#GhF8-uomZXdCT`^itP#`m97{NsaIpM(;<=>DZGrIm@!P?n;v7mh{qg?prl; z>xS80g8dm=EneS0uW0E&`+NWUy*?A;2oam6NdtlX{pNNRrD4c^I{qHp^U@Bat+hU? ztx@K`NMD;qM#;7{RSW5#=|rW)naZ28EdNK9gHlQ*ZwVqr1R|-kCL$nv3SgZqj{uBT zO6gV%-Lkg!aj2-hWFdF}$ugVg>1=R}fvD}8qon1eu;pcmw5?nL5K>4At<}A5*J@Mk z!GA_XAN|($Ry7@Mp1Hqga|%2f4@X$5j20#cV1Tewd5tv4^jfxh?!txpwzd$}WM|kN z417}$hr4xM)m1gmtx~$|6o{1PS*~EZm^Yyr3|1N!YUcw-b{;WuGPGxL&O7g!ML@K* zTB+K3gTN8|A`oG&4FE(AM3fs#MDwbu>c#kq`qw zGN80p8=@55!y*jmqBs#_b(hIR=bR^`+*kozFgW%c5m|sxfmTEjVgzA800v=*(Fu|S z0w$9b{1_v<;1+?antg~7K%y{+Pb?%NOcNX+5Qzd3L^!ZS7G{V5g20-H5P%t3RN_K| zgk+>HKuYCCfpZX9P$e5B;P}sHEBw#V*T(4l9(#`wNh#7gwGIGSSe$dfOstGxOvxQu zkPuS3uOb0rBoPS=#^xae$4pVeUJADZfrtnqK_Vh*qpYI+H=5K}ICu7Jnsv71LX++b z0<$RAn#eqzO`@=%*enAVR8e&D@~*9Or>Emp=ZfLzK&Q;L>Y-lg_U}CVAgnHLZ*T7g zhbv1nS8r`yJg~l&=h^bgN_2iUpG1y~?40-PK~a$CSb|6lq9iJ%T?kcZoO8-)wP#-d z+Spv{(QImr;ika`Gh>T9XO5t>Rz@2eDY_5^8H5(mOH->D1SD|a7`3QeC0C{ZAp!`a zHkr+h72(-@CW5Fah8SXG;SfUf0$iuyEMP`KV~j4Xc=X<5MvBN74FI6ofNI%!eiNto0g+)ndK1OyZU)+oq4n|BHS`{{uQsczy0mE-g+w$z4WCoef;Ae-!#oFx7_l<4}Ng5SX_JU zwJ&?w%TllIkN^0OKl7Q-)OG!>-}U7-@s+>gd#8^7Z-1tL4D8R1_(eF5b@N9{Cq8lI(w~3hlG&Jz^`WJo z%D=QbjjP}D;@jW%zQUY+zX#@t9qS&qjBfV_v7(3$a|P& zjVa7Z|EbS=mfct?rjtV-{ITc1>CN4x{qOzS6I*0LbI11Rz;rCGaF(AH1=RVG4tbigY?<4X;EcPtB}|iL*VC_i%Cg2);ds>0 zlw7{TlCS$xGqoYdV1f(JzB!|2N;!H5?$@^OTy|k>oPiyY{H;0s<}n7^I=-)@9GKl_ zRS*UK7Y~j2n=}hKdV;ZkEiW0F2*((s*3zW)_# zP*cNeWX4E9B*c(I)t63gO;ye&o9iALJetU(TNa4G3WqSOK?Ok5YWv+5Z;8(PIp&Md zb~Pl6`YQ6h!q+y*BlF;`^PC|{3^qhVx6?D#*NK%8TJJV0XLXW)K6__sm8n||wE-)P zy)sWM2^2mZ?i`mE$(j*A>G+Vtm|IXw5pAH05`A2dmE7zpl&x;9&A`?HR1<_NDI^Y) zeS$@kYAVf_D~)0%7DY?Rc@{ig=a>5`6kHtQ&!-f@iT9(?AY5#OPmVbPdcCr^m<$h2 ziWvCx6R2Khd##niSR()}L1HTSf$9V~HeT81xY6Lq$X1KU#k_-nyS(2X6+|W$DaFL7 zP&@&KmA4K&ws%R z=vee3VAbbJhML0TGg^itpa>OP(&7OoJWfuATW)8p2i8L%bc);mFTV6eJK}E8>2}a9 z?iHI> z>}kj=InD5~;c9ab`tF^U4}CDXTMhoFyop#ZXqaPb74}Xkl#zh0aDEphM^5qTwAPVE z6o#F$5)cM5+L$k91oFa3H@CAD*h?@t^o5&ejEeNarw8D=&2F`E&wtHB61nFX4D7T& z>3s0e+#xZ6AE0|D{&*~@dtfjON*eEi%ei?&nM&S2dOg(+4WFixhdu%^6k&vrh-<&+ zzRe5-q(!0coI2+9Yj5 zaOREM#gbPL&=c=_;Fj+J-ZB4za2cqmBtm-qwwjPCsOkeNB zt0O4=?!l)WcQl6kS*+6DOV@ubc7fiW+N!`H|7|Y)70c`k>9zaIr5&a}C4_Yneky+l z4%VsZcrSBHX6UbNwi-0(y0=jAZCw(9l>Qp2607_;EHf zj(6tVm*=)@FMBU1TqS$B)WA>k)cSz2ZB}0LXH?OWWudEgpquIYA8NvTwe*XUey)N+ zvnpP5FY3mqyoB?`1Zke(jD#K!SbnZ)j+Srso2Y)_QIlxe`i72^>*+Pkt1^Zyi#hh# z33)xXlIp<^S~=3ah6c0}dwT>Fx-}`LJ6;4eT&cNyBJ@7LY;ZtoChdbiAb3U?L~zQe z1}8rn3qA6ssSV}E+02-#QkDV65qov!9RkCUj6^XJ1EJhE1{;={UcShy91JZ(kV%@Q zq35+wp6FGb;T8SewxUzdl@=I4P&l>^lV3wI#NaVjiqUlkw(|Zj#2mdy6^CD}W3lGksFSLtbyg|fUtk6r+ zuGGE&yN+el?!3~>-S}w@9%KLVx?v_=uB~_li!C(p#$w-4MHz=H(W+No!*Bi~e=zMc z^1cM;pk_?{WA?tnJbr5sdA&5mT>4Azx@^%oYkG6)sB}qSe=kndbDZ=cg z+3aQs(aT2-2q7ULA$MiyDss5Iag&dD%DdD^e#?x zjthp4#>HH?REGs1WNf&O;TIvcmU#oU zkUnJa7b(lfCX62wd455d+?13Yf4aMsxg9*aX#3>k-Fv?#ZtY`a5oxZEX8o1ih?ujh z>pnMHzV1ffP!|Rf9K>dXeUY^LqGt=iPK-&T{1}#SbpJRQLk@PtkGu5-MF03)_6wXi z=WOreTW+OJ`DKH2kG(lO2!Qy+36@ zR2WlDgGq@otYhoPbx$g?$Ek)errIhce!lFjOBlWy%`UCoEIl~uGyzO(FM|y9rp`Bi z)}!4!#-`r|hX3!!Ra3gGNI_Pf(P*L~!=^j6|M`UnwhuoN~V3jCZq-2kJ30y@5y0xp)yH1b=f1JA0=0=C4Lui6m-2RMLaE8Rp#AzQ3WTmntZ zcs3)rMRO3?we(Dn)3<1QK(v>l>SgDk0<1}Ix?`Jty?gB^zv80en}revG3%U#W}lZ~ z<)6}2fXE_xSs8`XjBSC5U+>d5BH12`_}}B_OLsN7&rPhUF1<8C=xOB7wODkg%-9~j z!2V}%vdPH5E?21$xV!FdTBE^IN?MqJbmJl`H=jVZT+}(b%0py}ji%McP*ip#Tp83`84hc0M0iQBi`!GEB!s8+ zb@?l@s6a~IkORQ+WUSq8<}&d%CMBWP|G@uV>f*a`>Azx_a3Eih`T| z=5JO0gPGZ_HHo;I;*$9N<~V4lx+SSC9kEr_4(j_4Qz$_jPYUp#kScXw}ICw8c(W<106cYoQvLS%L zXZKy3D9=G;v}+oyI9ISG6-=s#ZRHB8<*JtEndW6ms)3l=ph2oGPOeUc6Y!v+aZ0l359qjNec{7L_zy(ZNc z?d#2T0sGX;mkOXZ=fB?+rLQOSyH?58jxO)eK@WAe!*z?UBV6O{|IG-T0(Olx@+7Xp zSS9`vIgz_`G)s$Aoax$!7$w1K`o{zP>6P*KgP6jtdR_degUO(Evqk)^AIF6ZRKP_1 zHRsfQisD(okT92xKjMB#CuTfde}$G|aT_V$3P9ab}lR!kcF@B%&Po52ieM@H$6z zAfcMPW$-SNQnICRr{l#)!`X0kWo2wu)Rz{?Pe+HFJ_p_0BMr?+Efq^cy)?@`XGQe5 zLD&G38R-vysk&VwmAQRSrjRnV&knuOEgZf1vB-v7CIoBX?2-3gH{wJBm@N|9jKrj& z8iUpwf}EJzoW@d&I4APxZic`U94tMmBYM~8h;soo?)LShX{%G<7O@BHsOW*kP+WR{ zX9tIUU{5WazHS(K0o0v3Is$A{dBDCy>yjr>@w?=?;Gj|=FkzU+_|CmimBcc}1;xZb z1iXJYzlx)YLLI(n$y%+5Vt;lb;4EGv2v?~glj*a%z?^GTC-(dPLII>~q%!ebAS^+S z(&2mLPf>1cs0+u;P5kknFJDs53=kG%IE z`6{URD~AR42L!6-+%flXR%tXJvnvaw62W1%9Xtk=vFugH->%NoSyf4Dn$l$Ph(V-U zLZE9KyCM=sfpNnY8t;oXqQox{S#xI^|Fz+cx9COzvJhGKx%2^$lpI$zXw&-+pFzGj zOcOTe2gD*B&WP{kkjS!Eq@>_gRJMP}VgSRMFDWnXp)cVIZ$l4J$q_MLAF9SOTDE@g zyAcvbMB!jNN3gL4pHN~l5W7OY{Ba~xg!3>mG2o#DNh3{OCw#;nfMI-rAc>l`tKI_gI@Y5QsZ{M?#^fw(hhw5Wzu*5fE6?x z;MrIDLjgiPaf$N5)y?e$n4#v3S)qIuDABZx>`)v&8JjM`@y{lOS-9*(Snq61`WT(# znVlAvp^O729__p=*xX@%j0Dw4$etgGJ?>`;(P1>D-B)=V6L~8$UsF~;v+Egs;4Tpv z;EVy`5$G{oGFX~3KtgT$y`!7boIijJqmfrP`Xbd%wO|okL8@$X0esT*sd}#qpV9(5_xBR>*47O_AMmu}nEypH)16%^*`O?d%DLsAt%&W?(+DRibmmg$KK{pE+ zE4yYu_fx>~#o5hWNlA%m9R<_w#hM@bZpmvo0Ns5-Wig&Ft_>U7nIlL98Mpgx)*#pW z)5f*I&;m_ZrrrxR|K2*JK%y*TX+(mhm`37KSB`#PCcLtim68gy7BIJaK|n7R69$|j z>?mGvKJml7XC!qoE@7h)Q#` zz$43c$blKj^EDuJ^pW~9o1i($>0ZQY`uKIxz1 z)zj7-uwR`9r|;O-l+r|tXGmJwS=(2!EURcYCfrPF=dngeWXB5&bA!yYN_7QQn;?9U zdPvIFb7g_ZrajUJQ7_x$ko?*E$HZMt0&>Ni_^j$Qv`_p_uBywD36g|_X86)4MV6f* z7#}PwgSAyv(+;z0_BpvVtw%8A^0p-^phrDLDbupgWx^S8v=U%YLuNkRZ0c%zlDYB|IOsgP75h$ zrTl>wwc47RA41Nm5%HclS|8?o#TE9*w#xTC>Vv+_uU-oMv6Z&y^hk)IJxJS!U~B}g zD(+@dX0P6;Sel|2#XBe-)S542r$Au&}VRtEv%x_n7FYXqO+81%<^I+O zeP<&O#m29OoF&LdY>kYJ9A!ejP3fCS=BjJtOYP_Ep80ZcaB$(WBpt7f5YkCdVtC!! z)Tg2gJ5PwS^nPlfe;Z}s>ES2eUjs-N!Amm`-lsw7eCVO?9YXO-nnu@h=~VDL=?1JC#kGTC0|H1 zDu#?=FhD+mzVNiIWaLf{fMpoiTg)%7EE$_+=v8 zFg}_5J?|xbkgAOK)TYd#242u#9?Z^v?j6fNg!0}a|B*7tG%+uc#fiv3K1yJ@$$(%o zQHQh_zeNT^@jDC3?JxYlocqeYz>afQE+J)1v1G?Cv6Uq)!wgc~i{2Z&BY46Eh1;cC zW~O{heTR-@U>GhpKiaFtI5%R(@8*OkF+zB1b_cVqq{M}TzBWif-catpm+#egAHK5h zXzb4eUgUHrs&B3|XGS^8T|Bgq1n@7|xQ$Me`E+Feeo-QW(Kl!Wa-HUrF?Da!!|1Xs zBT7*c+yf&&#S<$J)loJdcWV z87t0FBAyloD`8eQjtd8qYEVLd8foip(3Qadn!YiTJC9&YYmeX+BZ4$v&;=Lq{50C# z#e;tJqQP>64v^D)0zn#JZ>_9jQ{-eH&5|WB4Zzg~H>75U;?7X+J#N_%hu)mu6oK1CBEYIvj|_2CBg>mV<&!W|Dsy zfa?VO(8C}61W<65Gu(ggRg_>QKO5e=xbPkYiu_Ec=u}~6*KJ+UQW-1Nt|{jn>1YU1 zOS1x_+DmidYZ~uR{Y8p|zMDV7QQloX|CopL^z=%RbHm5ZQbc=261)Ox$)&bsGqif4 zFy+W{ZPJhBykolQCPwf0^5Tk9tb`Kb>2vF86J;q@YCnN_D| z2*U9mmo;>rDxx2m?|+SK_4nK#9Xs3mGiSYc{SS3r;f83tpNJ1a9al61!G4By+v+VN zpAYV)BMD8;x6>v69+If%EEq|9x?8;UNxY?8T5sT}rKHV^$(};!v>Ho4+~?n-)=tfO zyqLOMLm!Tq3?FXKH&hqoJEqz?d(Tn@u>GzqDX6u%G6cxP#*)7ZEY7~+w|wP>h2+bq zsJHrHm+X@ympiJr(N$6HR<&!lHKXU36?fiPHJHp@K=*_^8b4b4*iHJ{dA7QhKG4yW zbMm4Z!JX4=twP;0KKc|flssW$z1rnAo@zO@ZOUPKHp zv_Fd?^D+e49>lm=wzJ z>o(ofmgCdt3eOkw_yF8#cqkcG-}4!onyM!ibBa6 zQ$)+HPm+(k7qf;a%^4n%y#ClZ zYRPD>sVP%WU~zSC`n_8(uch4}eebG4lblAj1j54h^x|Eak)SLmY*HXL`B{yJD$A9h z%{}_riyy7gB&p|lDAzkKr3!4`w<(+ZW$Xr?2Oi$rUvVJExHP0;H@(pF6{G+49LttJ!x4v5;ETMDE z4?CE_OWtNB2e2hVU(MD$EhHAE`(|2a>>f3r_0L`^PhEUTJUx@`Azs&>sDVMIhCQ@veRr=4nVQo_2+Z&4*^^?-ds)pf7PVYwqNo)yyu+o<#NeIKq7Xs|7W2hc&`K!@moMm+n7C72M(6)1Fah>^uLA0K!_4#9;<*Ku|P4{ zJb7>?9LvO=XZJVVz%mmV*jQi;F!Y{djqh_vs5QClsu!~N;d6RFz{b3}NQL9$;{#Wd z{ZnUY3`a}Ljn6@spD|Vh>wKAUd-apUxA(?J`685ZUdh$yFk0G64A3e3soo=d!aG0_ z!7~C!ck{+xsI&jt+nwL=nHFe91KXC*dzly%*l1DSSny!c6-JCKop0 zu4ltL+N2)-P7@E0T^Wz?x5x}7lE=xxi7;Kyss%$<;R$6JsceE^>CfmZd!e6Gl?hOsu^RpyRHCV(!fdJ3MEFuEQt9Kl zSdfy3iLlzqKC6^J_1~v|)Nj`)#U`zpmIYqaaV?umYyAae15emS(8+kR(JzUqk6{kJ zd)4qPEa44JrOZ<0vIUbjlt~V0xOab@L7))Pk*4Wi@4K+rCUvl!v&tnjC{AALB7}ve zKUkDC{>tPh@5l&#bo47?0m^f-kP6jZdvk(dt+!KXFNl1r@w(46`|+4I zg#>A(8MCWc8P=CDw%h*xLB!(uaeN^9bn$Dt2ZqgN{`st8zOS_UGVjds?V0f6UG&?3 z0(T4AcIf+PW4(03_0I$*0mTOSM!%2yhL34EmPOo-u zq{eVO*lD=o|4PNg{dV@RYW&PeVx|*a*JVPTgQ1|8lcYD8VDYdSmpEnjUr0j(f6fYK zR{h$Xl zfg6W#kci*;t+(ChZVE%Ox-H`cAb^#Ahl9I&uP0ENwe`halwN4~s%&BFm^03gOxr8w zCRQu)D)H>6I0ePS;ge zg*!?vk<9^J=iv~dWx~(jXV2q6j(&cfY*BxmDcR%X1TtR(YxUw^Pua->nJRcLVym7# z4W?|LuSkOMzGd2s*15bpgWI{2P?RfeI~6#O+&jrvCFYQXW7K2JiET?4>Iojar>5&N zGh0Zi^Nx4x%^xNK z{QHSo>aw2@1x%x@5qbadMZH~Jx8p#V+fd*h;L1B07rNggdXa2mr`k%fOFqSd!8*2m?@L7Qb> zehlum{cx}ymOBI*2PFKy>Snyr#(#gr^EVCkNbPe$IzYF=OvVZg9(&2_$x-omISg-r z>dTeI)B@v$echX5#puSTnVnSuSCGhmBxMrlre*$Ux0wIMwLiBxelYxNJ&2L zS7XfwbT{FO2V*K6#*nC@@+=4U_jFcUL$U21sFUtq7x{Ql$uYXtE)U};X zPCS=4{uDaGA)alV%Si#7ttW>+CMy00Iw^$_^mq80KH7CpV*HUNZs=5!P;?gS*juNx z1ELK6V3uiUX8qg}>TGSTSi+9;WORUzDc4bqcbwo6)^6x@B(7(K+%PXzL6VUYZyif2 zFUm(*E@TTikFI_N{*Gcuw$&B zp8HeJ8XVj&J|hqd`UAHuX%I+O@ulElvGW;ulE})6jqxt&Iq@O)cDyL%lfkv4ot>T4 z)z$g=d0-|6S{aBW0d%+*BYYzbBHyCYeBv)PRY;>cBDXy|+e?3^j9;auhO&QRL^LuA z4yq6(>3H09NROt#p>cb)BSI;-SeRtrj`%7*7p$CFvZ!p{ z=SRA3O^&?Sf9k;~hME52Hv_qxl$)?vg7&$OJ1kPUNokclOwxs+!ucXpKknedFVwQ&$?QB94QGo#hu14P1~I2 zR>hg!1l5`KPoA=%o`#sj2O+#qa#of$qSdv&2#~U37f=?d1=g-}Y|N zC1I6$`+JuY_6)l3{JVRW93G+Rd+~`hJPvE9d(Uo}gnOOug1XKRu|)kZx&L*eFRsf7 zdM~BBZYj{;t?>SqaC~3xU5igU{nBgF8EgA)^xXt|=0VW*X}|?aROGAonV>#59or-< zUnH4}o-@>mM^jkY???G!&q@Epzvj=WudyS<(O0YX0=AW#pR6SUjK}Xfb}e)JUAg~R zh^%<=gW`=gZJBmiW zWi{UR^fe*iIUJj-X$H2opqK8NJI&2g0%{7#3G>;TC9LoIv{KGDN8dGM4KOaj;qfmB z=maybzH`tUZTFo0`A(KaJcnQWMtyLqEAPS`WwM>yb~&(W9s)qPmwjm?zB<(O*uM&q zs(iZ`GP5XI-kM4DeG}SUEIK+G;A+ea(|{nm%#`E$_<+6r*5$yBRDDMW2g(1u{Z2N| zEU+3Zd*!_68*05`N6x!wnRsGx-0VD-G5asSMU+{@b4?R=en&`7>EYvAu+uH`ws

w0-)^*L=Y*d0v9l}~sOeTi3aDB9A`(A< z59j9Q{yYHkU*aeOcqrxMose>cMGI(Gk_)b$=#&P|k)L)BV{S&a4bwo4vixhBAnH5j zqNhPkp$i&+Y_$hh>)w4Zz`m%D${4dsRQV%j@u3E2q5}T0G_nej&bOf=PVr|7>xMtB z3&yq`rZDSev&XFJd6$hoDik==nC+FF4T-Tb&M3u4(qyy{M2fy~*#d5GzZvN|^h{_u z>d(QqjrL^f`BHb4`rSKKW_Oh-$F-dYzWa7&Hz(2$Cukpp9{}J`m;~LO*=7X-m{RBc z^{!tx3jJ`8ey}h;Um3Rg5J0=ng6UfPWx(F@Wg=Y+km#4D_DW8PQsi<4)Ym!N^B&>Y zD{m_<@ff3;ABx=vB3Olz$(jcnWHe9L`;|5XrN2unwawdtkrAm4TC9nFfiWXFN1F1` zd)Q&&B{=0)hA0;g-FJt5{C1)6z=H^ZmxrIky9rcybK^}8zpJxo{$!xmS1ovlXwN~2 z`P3G_HxpK4hpqcOPna;4SK-)@Ft(7jVHi8+bQ{M^REMXskhVQnePWQ_?2!iUTvDe> zEv18DZ^(WX@~(qB%nFv~rJr>D3{hew#%b@PTw;MLv6rNcq81dkn=yIC=D}Gjq4^01`s`W|l_KH4<3G zPV!H3wj_Wmz@T-NcZ36~&nTu%R*U9O94xKo$6SKT_m)poNNP?}npY1O0lBI5m z?ehpRc`2&+nelv$hU$gg3OQA|iuXydU>j=fbTS5-p6&AHX`R%A(+>Gsh$qXM<2?Jw z)u?#zmrt(*J`uT9ya)Z8^+9KgCC$9C=oVbtr-dC)gKJXsD#m5L5JDl4w>7DxN~0m7 zG7uG|-*9leNbP2xNu@`jb}l*o2tF3wr#=Y7*rb4RY;)#M1`rlMzse|*21}^4e$e-@ zk3ka*>Bl`Z?`GzLzt#oIJ|+`!<{5X4Ybl+w7ol-or#BjTDy(LaJ2LsC#O6&bWs;6^ z4JPic1RSCyTc84i@bKdz`hS#*66}S(;!px0l!=Ip9=G7$=4P@JZsGqu8aX2M9Ua%d z0K7cQuJ&r7_ilmOu?+(R@S0m)C%NdZ%`CfB?1$e4uXukQ(;p#-6ys>xj)&KB)zc;E zySMvn1X`v!x!jWkGRL+S#21XJQa9eFvD}%~H#K2HfU%st5Zb+gQNhGU#davt)=9??}x>Ra}K@bz_TafFHboULedY~Q8Tsi94k5cs| zc9aPtzGnYF3lMJxq_jRGEd zT8+BFqw2ookUrEuk4rc8D4f}S5xCa>N)Y+)Bv8U-yf#lt@>#4nMa`QgK2qGcx;nGV zZ~1|HtBSOyMy7)T?d!JjhF#kbvVTt;o}T+lFC9$z+TDDczrGGvYc)94yZ$)PI(+75 zU4_XD-G4s9FS00pow6m_jNAv1q?5M{>cVzAO5{{79|Fhs{)8p`0>1st+yj511s?IK ztbJ1XBo<@B_)SY3kU&bj?@m!c#pH*;y`!Oy+(O%|y5%55eC-lP98G|2*=`sA;2UjS z>TGKIx@->a-s2h1L)1~)$l`=*Tyla3@`=BxyRz~#_l!e>M-`%~NS$-JN0}5~BuA}I zZpN2{^YluO;-10O#xBLhPyW-0yY?NNI`4oi0^rd6A2tX8c1Y8Q>lv&*U`N;yP|LsQ z+UoxM)amkaNcz7Nv$H7RGmslV?pPWJdcL<9VqIvOpUsFtw2}++s(I@Fuz&p?F;wf2 zReBSe#^@dUsxj@$qynFO+p{@$BKXjk?@B#p#>UjK3P!vA=D%H+*NVRxQNOiWU~vj> zuP3C{uAda(iuxw%wK8jDZA+jECtoj6Wn#^PkLXk2Y&;#9RCco932Eo_4lK$$-duhR zkOLTMunT#)3*!kMDo4eozLl_<$Zb&zOMtru!?d~`tu3raDVzQ@8VY_s?lWhYyOx<2 zv75t|R*bhY6(ncR^cj(YDXYVSEzA$fY(WYiOKqRvZbE=j;>Rbb`O++FTcdR&CEM=i zu{WwsadX*yFi>d38=Vi8#5lGUITg7lD(uQ%ln>(YN`{*-x2T-LF2EpiAbMv|$OH0T zjikD&)Qxz+6rWjHnY~0W3Ce?scifNo=urK1G)xIRQqu$9TYT4Q*2;Un1~6p`Gr^ni1A({I9LpHX@Y}~R}v1<8-VB&fGEGU(wf~UT}mk@ zNneIa&pwRi-~P(qdpHsfTob-m{`5-geUtusYuic6?^?l(KmFpUNJ~8JK?|?YJD>k|&Y*q@lV@NJL_@XMQPUL#CfG~VbjNWIxTap)C;UcMX@MgdgS)_CsC?Ur=V&3@~{DB^ZBl7tm?6zBE2 z4EbNm2~a?92U>ZC@E)vbMO}BybUO-Vckfwp{}-Bdzp(XCfTcP_K&xp)@~h;fll6ZO ztFks@eRFqsKTMgAW?epy05{iExPID5b@0>C`|s_e8U5ehZEe?wa&X`m<>sco`d+vV zV>h%Wqyyq!&+k6Wb*o!rxehD;7<>&?3la|+@k8Ao9RAkOcbY=Ck`cuZF`={X`Rn}D z^Z?HUx*cG*?(ewGGCn=n?%gQXcI{TNJ}l`U+zJm7Jn4uov)UNfc;k6hob$$XZtB6K z$}idUL3{DGB0VP1*S6xSfBca z`6@aWEu0U}ygR6XIH7a;fLrd|OMQ)wCp;;om8{kjgq#a`bbD6OEE4L z19kttDjW3Gpd8z~qaNkPX!p%sXujtHN^9=DuGyL$1^Ifs;mN;TnH||2D_GP4r0G?e z)|rt;CN)WB+t)f>DVJZr^h}DY+0vEFd>y%cS#Oam(K@I;SX9Z01D(kmI-gX10g&v- zoSv`puuq|Xucq*khMAVOWj|BlXZFt>$gU&R#S=>Z{Vjm`ShYMw?$7qJMRf(;YMRb` z+KIH?bo@{w-tFTkmcQjw3fqx|thUjl7S-I!mSuhprJ&71jC9z_m2njNkCM~|3Y1W1 z7wrRq&BaXwdcrd+wdnQHAb_E}T4$9O#XR5~fgAzcuA@!{WC951Tn0Y3fk1z|!b8HN z0ROjdb}WRn-@CT-kkqp-O}ZLAk`0@$S43j&DrGs@?oI?s_3*5Iqm=yv4=~EUx_ps1 zg7O6oq;qp~JK5Xs?d?@pSCh(XrCGKv#P;#ZF3e6nk9x z=aS7|dTEnIb?Pb7^y#+#Y2vcxu9#j2Nj8fyh$2lrW~A5WmTbDv{MAMCpx*|Z-&b#; z1O`S2-u4LjkuMQzOr=g91c@Emy1FC1PD`=#Sv9n00~oS?3eDQNmyt$t3v`1IwIPmQ zIiAT63N3KxQPo`X(G||_o{eH)YRZ5Lu%o((e;U^ant$#23!27EOn{4{Wk66IylKjj zJV<0X{<=i{+UrQjM|{*v&@;>hS4W)3TP7s8{!+ZLuSx*!GQe-It94u%+9B`q-7R0- z)VTX1u8!xsJKSf2Qogpry3t7Mk?f;*Oyxq-FtLLBFSE}ae64e>6Np8;5s7RCsW92C zCvb4Tv30d`7bg2(Wf0jX@L3*Y@c+Xua5;Nwbt#7-&OXO1~67Xm}m40*E`U^5UsJB)RK7;xm4 z%WYLCfqm~?;GO@s}7~g6s)YkLS zbCmZFX-?r_+d|_Ig2p6xQ{fs|fT_nxIdl42k|mQ#7FsA9r2mAp&Xdtx{k%d0%)lcK zic5OOXum<^_n_H@3yX}a{V)_yZ@j!H%#&(sJ#Bgv3jsKF4rC_=;ao1?0+;fwo zH<&m>q`$8RGg)>?ZOb%OM9}_gUTTjhVR+!ZYSvY@0gTzF;j*l6%twSioMd)GfC(O3 zRqQZS&WRRG42+rGX$;{QS;JIzxn!{7Bmik)U_dZv&aN0>7ycGFX{#R6dsa$JYv4rr z(Sib$kfXz@%c!_kYOzST$s4nPkH|Sq_AUo>i!(+1+NK;bewCwN$hYyXV$l7sCtfeuyU8W$vj;MPv68_hGqYqxUz&>&eq`G|n%P{78E>AJ?c=issR!*+l8S^WJ9z$5FMJ?xZhq;o%9 zQ~WUgr|5gOVr zBV#=bXON{v%Lc6rjR-Efj=uHy^}uW5(lz6zps(H_mZH zayhv@!*Q~xh4TbMI^?%bXAUwQ>~q`BCr0%1l*q2nuJ%G|tOUkC(x1o2nA^EoxD~YW zR1I#;(B&am#Z=P?I9Zqc`SSB69zetfL&?9IDxYVEtD7=>BxSpa!d6yQPLyEcsww&FQHN*5la@=>5TI&$4arA(SurP11Js@ppXu z(5s)Z!a_W{{NhKWg!!gG(oom*&hO)4c~#s;@}E<)N3D^zf=lHLkBu9L`MJMX7xZ`! z&4e`7ztKN?&zJkUl$v_^ZHF#)(Sy^6%=!4G2VMjKVcM^IG~vzM4P=uOwY-V`*%U{+ zF*_S~x8ltd@kJ=gX5kb$z1-bgWhWSM6W+qLnG7fR{2dIBrxBeL7?ZqMY;0&CmhY&i zjQH&ai~v*Sp1-u%fSf(j)g{vEUA{m8yNV z^BX6@BHw*d(&io1(IvY8EFi2xHx|t1H2^Q4D7oxvVN~evKJ4W5!NEdY9XijtmciIl zsY}-SdiA_jYYNiNTc2U;_I^R9;WAcE6IE){9GaCTjU>=r-Ez1(J-Iq)Smyh;pcK|- zQ7_!efmmq#7?~P8ds1Sn@hLn!yls9cx$>#s`JJ^Uz{?#t0$i$o{!5~Cj3z$9q<9 zsLY{Ce(GEhrCes?$?A@s+jcdrlAcD&s6;Omb0!!}u-8UP@G-Q(MLgMXe#SO&0iuGK z%zoQyXZHwOIfX6pIWK2a?%4_6tI8A#s#g&&GvU7=26pT?yng5y83-e`(8u3{dp+F+cky2T#6Ea^qvSqo8)!|x&a-7{iRspJB)d6s$&C1FpFbAo#N|Gp=eWnV7iSo7 zI4%oroJ&z=ui2e{XP)|AhE&N2{n~-r63b7VzxnU*%{(?cQil}-^Xm8RSx(ifl@88u zI))@`){^&I#5LF-y{7+=h2moCWt3zE*bDI_reKBxwmP$Xyrf{3<;T%d=`iOe&6*HWKxv&B;IPuX4$lDN`aRQ7Wuip=y7|G73)(sApV}M{tV2>P?GQvx6k_b^gsxq?XuRB&Ly~t%9 zsAQw+EC~kZoO%lb27>bx!=xU*YFzDm`82#{A4ARjCA2$ZkhrvCU3R}z3zE2A6Hp_l zJ&mI^?or--Xs0q8I7mHX`&w5s75R=d^;yA3!*0t~tLZECGK!z$yR_e=@eY{Qyfl8UB>H9+XR43l(^CeSd0X|GJxRt_1LGSTqp9?zZ;Ce+Uq~LIk|`8E zD?V%n`D`=}Z{>FIT>VK$ci)Y$rpK8+QVcws?F>vOz3r!e_>pVY;m7xw+9{|kfBy~M za)-ZXOC!;X$`_pXiyWpAgk6FEmIF@vd#`_3KkOYxCzqMI-lUse&1>Ws+-hI1of%T3 z#aHcBP2a{!1a&-oH1nQ*8ZUnKyBm2`8q8NxowLYl_l(MnYG|^aM-918$Q|elFH?LG zIP<;i`>SQ=mH7Xo=`7rueE+u(h>}W(h{6XLQbQV~bBvlGFiKiU>F$*793?#%9TEd+ z5dmodX&BuxdNj|z&vE?r7u>t=?Yge}eV*s*%>H4Hde6{_yn}Id1lpR3{l_5E;Dp)q zCrcwU*F){Fnr1#Lipcaf99CO$E?Ew*utW$Oep)p1_gndE@0s25P!Pdze=XTp({6K| z{ASVEd9ACja_rhev}*9AAdckJefs=jwfp6NehbfI99%9Ix-rsce`ANcDyjo|1#%nf z1$?&umB}ueTVGcZ&}XZ%kq1*ki9y(=_)U-~y;@PCcdm)^)kY5dk>sLyOa5LPwsYWw z4xpskHe;PwC;N;r zOAC*!)cQMeSIopm$wXa?w^%&`EoK5rc;sj9>v#mP`SNeRu}NEOZ4<}X#9mL%H>t<5 zp6$ifmwuuyF)_rsnNE|x)jLK94$N?`!Qb5ODan42Vn{1cKAnLA45FiA%M z5dH1^8CeSwl3wbfKckE!M@#b7&%(ft``y&l?E;hx-JNmLo1L{c!6JMAF;RrkT#22b zqEKJNGCMBy?h__`2J;(_~61ydpL8Iw1P7Ow`Cjc7OU_RTu{T`MCQleu9luelTM!r(xe zS|7gC>k*QJdT2s_o(jTY&{!aO4KLMmT=|nO+@MJE(Hv8=)!X`d!!7bcBo|Y`Pjb^} z4Qnn0;r-B7%#BPNOi*=#=lPJ~!puUzYE)C_@n%+Qgn(vRR6aYFZ-TY;1sst{-OUg0 zCsMNh_Ma~0%;M4Q|LhR1ti+Y-8NmPgHJ8v-uVP;-*jhhLHr05>Fw401^U$nF7!;}x z>7O+K^fDJIQJJo$2IB`$mD|tLJYswnZlUSUeO+u@<;mw`Z9e%fQerL*WG3_nicd8z zs>lZcz+J@z^pzN00PgOpz>N^lYssM#(jxgS%}BmtLJp$XqN0Hq6>DqzX*Z)}8xeYv z-^JE)N9p$xw!1N3Cs;8sT103L6R7j zuXftXzttH!C-V{hBpksK%JyxV8{Z;chyGe4YAm*<@MGCtFN*yPS{o}O0TE(}&;#e4 zr!@fz(XFSnP4{~{f$k>*vD^;_jY*kTBbatf&fCkA%kc+~2;Rjj(ZZ$MT=cy_inQN- zj$^dL==~fjHC^iDkW3Ou>xeX!XpxvAIJym#x;rix)A#lE^B(u3xK(ags(UyXtq%7@ zwPBV0n|g-Jh=W}oYQm!-FNg$-Y$a%rIs@EqRJU`&M$y;a$kzyG8VE zHN*W`iJIdKv~i1T;CcV<%BTeY=4ywS64IM*E)k1Nd2m`ijAFx*$+utA$HkS zFXj1OKTEG}5A?%lpKJUqpB{lk?##rvZGBlPwcBVN@xXX^rv7``=s7jbY9R%MSY*~t z^$;t8BKn_)En9pJcloCmlk_wh$Uv>z*hJ7X=O=83-p7J_%N^u%!?sO)u>Opy#^^da zG9hj|qq5dIPU~hb+hfT`zdOVyn&Mu$N^cuYy!k~?rB8qMV}EJ%&S>+~*|UUL@mK%& zxz{lQt|85m6_e#?ri8w=esdQWmtTajxObXrlE{yoGaM1f@B8FGALe`;Fu(qeeG$wW z{_%V?|3P-Z*U@H{P5J!$4^P5_#esTGv)BHPrK1ePk(s_vCB&8=enAAdqjy^@e=iKu zdQttY2m5&VI@T_k-J!spY7HCLMPv`A!2vvOhw?-1vmZv2SNV5j6AC-BF7mZnYUq3d zMnXi1{Jp29zxqM%LPKwY+6UmBi+7iBjNY}+1v*u#egy*{1P3r*zaL14TieY~@?A5H z4t52xUwyeLBNQL#S%0oLy7~(Jt=@8*bCcSLaO6h7L!v_HqG3Pk;NyF1W_IG0fwU?>9sN9V(sVO>6) zDb#iL^DriSU8?5(q2rzMo&7I@$qG@WFdd`mYbryyd59Jin8~DLZ>F^(Hs1nKo}IH% z-;Bn=m5Vf*Zf+bL7^hO8kxW9Ujc6z(n#M|ngPD<3l&Ko{{i5kO$)U`(?@_)l<%(b; zw3lDqo<$L6;5;X$l5|Y8`oxF7WfUDXe+B$q$IBj;OsAVB!5rOa+eQ_9;8~Oi>`@xZ zZ{!YVhC`uWh=OF831uN)2?_aABJpM&Gy&u#=w#3P*wO@eLZ|=WQ9FqP`jS3j9j5F5 zL%7DLGF}l(Ngn(ZfTfs|wj`~ zkiI(Y^xOE=`0Aj|33I;a;i2j9b#`ztXd>LS*cd+K3Q2)6G3h_A>no~x43(FvMz$iu&qZn zYiLjAOo+0JW~z+ahytgvmF@#8ya;n6UF4#ZNM*%bbH0To>{}i;ecgOe+vrYg9;?BU+RU#Xu(s^Wa7Wu(6U$?c#lp4J3$gc& zG>_$qesN@I;LTB)o-R)CVS=!!yVuSeE`fjcoScncu!Qlee_6!l3Fc9AhlUfs*I+6t zh<+DEKw8Cc+{($Bo4fwIxIzBY#=HQpbB3uJV}?qF6OFvafidH6cV9aTgpPVrraRA_ zT4AmCM!FAU55#2te77+SBG==sXx-gfmt)S2(ct=oz6bfmyPNYZl&??X4%x&CXlsdzHH-)c|j=9mLL*^=)4skCgwL z=K&4n`*Br;x>FA&g{Gkt-!_iBZjVqSKMk8t{@MjxUbnxIT<9Op*Kg^|^GZiv*lYOh zI^I@U@fgt%O$tr2p{^RGX`VeX2{;xn{6G<&JoJBF0CeD?S>x5pOA`r6(W_;G4rEz* zt8de8DuQd#{iF7nj3Cf=Wo z|C{%d3fP9y%&krKS2-LGe`0Adh^UW%OLh2m^XRaY*Nt1+Y6Z+>$U$!khEC3%9X>T6 zg^s$VoUrlI z{*vnV?gyc1kYu|@PtYmojuy|qC~pL3L`uIBwSx6Q2u~enKh+C`H-~}(o^7q0?)LWc z?!QXo&d+J?QWBn8o`wydI->YeiDe5ilfaXBTiYe$VD)At=cp})W2Bw-zL3Q3E4 z+b+lCX*`p#(M6~EBy1t=1CXyQJSBq$Bj6ZXKrc5*FH1RQgIs0SeNt!$II`*fP3w^( zEh@SaxauG*=RsX?ahq6dP4gK8FqBk{eE73!#4SBTA0b!QhPmCDnma!~FSed*v^W}0 zn_y#O8^Y|ldSCf5G_Y9kOTH!eSUd3KU?E`(BQVM~Scg^nZE>#8lykj~7C#3|jdESZ z`ba(+CH6URadenS_=4rpcC79qe)^*{9Sdg_pPt=k-8MGbGcX$-5AQBb6yA1-`S9MP zRWPEy_+;hRFmwif=d3Y!QaZNSS?ml*VJK8sW9Lctyo}P}8RhHQTT2A?@>4oFr zmW~FB2%N`TX(Z2m!8yxayraNjHZ7K|z|MAHKtMP%B^c)?bFBJQg8qZkzpG;#Ut=O$ zM^M`j(d%?yjPc%gfgUWTw}Mt!T%?#hhMlcA!_u_+cuYa)tk3}$@FT6>vm9}7uzU6d zVf3z|eBd-T4v=%YZ}?mjjsyBbZW;-cXM5ZN3!mt>ac|45H9sGKYmna-->v*a)IgUwmg9 zJV!CudyA7v2?$GuZf>RgUC(|BU<@bk5-ovE&7Fz)RJrGFfq(8fHhoc5O4X85;*tCW ziDdjknqqr19KDD0j$oyM8XvN@#?rggG`=8zqUwQe` z%wMmsAMN(!#2D;NjD0WDnL=XU5uX$1Y%~jHCYIMy2W20$G!j8AQz%+xPMA6jIm1H= zptFoTUau^6pb#HN#{>)Qk+J^%C|3tx+r3|5B!e5{zI}4$wp<$fE%A&%mS#t-b#DWA zC78u*yRT<@%*4R~*ZN<4rd+RHau6xJCy`KWFHwThQr|ib#E7jghAO=5T}w(voa+>; zr&**~jTqo@447)yToP)4rrqf__Oqpz!Zir{_ui4sMo}89ox%f0P6%)ayD*wY)GAhb zmLtsulB3bOVjm35A+`m2aZYJLZ&FtSl$UUKpH_7`8;5GmPS%OXjW)A(`q8tc5}Ih5fFbja5Z+g5qGKTaM%S2SLaH;gXz9+0=J^~%Gx^klxF!;l#XwFyaZKq}NXux5; z|hk@Pfuca+MT=r_Bu|LotUQErKQrWo<)NuIbWZf zn*e5Mv4vV>D-6x`eXo>GCE-HNu*v7z2z`06Hhb^K=W}a6KY{GKcoy)m`{Hz6To^t2 z(s9AB{0}u-Ojb?%)jk30=4#a6!@cEoY`CyV=Z+x_Y|Xq1!Ato3{QA;X*w{wC&HG0y zeMJG|wqI*G^=bE;rJafPg6taYh&YPAe_>Vp&%j8xkijfht8;b7_{I}Pp=kmy|Fy8y z!7Jzc8DvCSMY&Yfo`bi9_(|=nrzZ=MU*xvL1}2VooC#~~#ZcWXPBt&Gu1|H+7YH3| zcW-;Sw*oZJ!nDANk)nO{e_3Kj!k7JtyYzgWZVvnR%|+#-71}suI+v{dIngJQ{k!r&z^+L+D)Z%lP>zyLDc3}9vvoNL&z$u&*@+DTJ4;j!Q!Ht!&i)g&OO@V zE(GZvP#C>NKZ!P3C*)s)&-|u`i`&i1J9}?C#QksyLU4Ue`A-fJ;|l{j+TZ;vI@ngu z_D(~*8~kaWyN3QC-*xnn9$%?nyN;`I)l2iwrq08&mAEX}EmLeS*qwg9>{>RJXV*Df z`$p4blEw_=q&j~h=RS1=jjkbSEmSAG8%c$NsQ4%tzZFr)#}bjp3W4!qV!FCHZ*uzE zf*9o$pJ*q-RaIF+oEwcBew87wZ2UcvKSR9Zy)WS0j_>05SB@@e+#JHY0Ru>hh?Wjs z{$@Bio_q=TL(t#`KjkHjh7wB{r5J@m#~ienN|TV%S$%WuxRlc+pE*nk$OI>oErFRT zf%V@5g4l^dmnG#o#=bN(BWH!|BQ?rntr+=O;R3}nkbcoDcI&E^>PL8m4fg*j6Ghfv zwb}3Pn1k@-jtKJ+R5;ap!Jb_BkDIwkfen0aV-!T>9M;j?P||7=V)d^@L79IU|H5I6 z4SbNYI(E%y6hYq<2%I=GkSh|yf%}8TPgCwu6eV8n^FOl!1VoQfcRMp^}IERX!IXdrla#O4A_FpxD%D)CgK z(MvxFSjr2>4dpqN25X=U8leRDU%y~r#MKKDIdYRk*uUgXU?p%w(Ji)KjoXcuC|6jt zM|OpA7fxf)X{X(UWiss|QZpH(sX+(B$XEsz#wbdhY>d=34j%YTQKEiac%f_(GA
{nQt7^cej7;mu?+L*jNvI0*(YkKheZ{s$d1NR)!S7zEU=g&*E?l zx*oyn|9e6ey#^N>v3!CHd8-x4SSN9c3Zp3kQ-^&|d`;0#hJ$yk!mO3%z2v;p6gp{x zKynWTvv2(u54C%Z$v1}QeZ9!?F`71F#-$6EgX~OsfRw;zsGbb-BOI@^-t(teKc0J6 zQ&-HgpJL_x@F^!xG{1m%+UMf7J<#_k)Bk8acj3_?b=i~k5`%Of%=a=zZ?$fGn!1 z^q*)Ko_abmHeFGCFqej{4h~Z|?)t#vjJ`S#l+riK-9vwU|M~Q|NxHmYK(O(B=S_sk zTzSQL!E0EUxQKJm9&Jib|CkG(8lTkZnXmMzL0-%E`n!P%wJcqefXz)>Tiqq@Fu~SV z1{6v}Pyzcuh)Szz?T2y%y>HcHOldUo>jo}k*ZrtA$rGSpa>)Tb0u z`Nv8vpubJO$If7U`Hiz8T~=NG3=7!}&K|GyRK>lYaJP|YS>PI?6-Lphv5jE?1S@YI z)Nk#CcRjcrK1>l5?(k~XWpBnz?%elxkbh}V$=nsAePeH@Qiv&B;T6_{2FcW>nXMG!D=xOKu)z82*k6bmg!+CUDg1mmcoClAubZ36 zOBQW#{k>e8+J8>`;H+^eRxz`BSPs-%=|7r5E4LrMl8ps#+1c^dZ3W=I`PEXr*J8{` zT^V_>CLhN~`~N=+E|$q^j;!5r=DlYr{h_Tpv5*@Sen{sjCv?{RKjEFLGcq!=y%rsa zGczHNzlEO5{JqqP0L3fe=$t6Vnbneu7ulp zLz)KR?3XZv7Dx&I2++Gdv-$5v2@JR-x25I$*7p5VHjIm?jPIrWS=9x9%h#&(DMKOs z1mgL3#);>$IBA*2l=S=m$?2FYDB{gF&RZ1!dCP=Q2XgUpmD|+nTX=UZ(<4A-prR4| ze0*R&xkAC;%qe1ac{C#hlMZIT(KJ_KtPX*_tAkl-$=0(!GX z@Dp5=8ok3g1Dl)#5wbL3=>O6b+D|iqVhikFBk(D&Xv~iIN@%r*?O$dj_NY<;UjC$87Vr&XM~>~Y z{JAQW98Gkm0_A))Nn{F*OmsmM=~#t5A_vOE$uNfD zXNM3Z!^Cs7PEXH=QX?%Y>wFmHs%iY1ERY;b4Beh|p)mVW6$2y&HcaVn!y?J+I18!T z$zbF8e@fPl^Erbt^0|5cUeq{%K0(I5ya*nQ-D#7%eH7H5=d5hVuu(g!K|q@9&(FTvOERDIpN%*Dm&o}DsH>&H2phlg>hXin$Uv}y?( zL1NUKnL@uKn`axb`^UdtZqC*T&IIqzPb@@HGvAF2wO$a5(pB-awonlx*h>mYrmGEk zPsTq?MY+u&*x$HU8|75@9`-jmI)>dow-*ptV>1c7%M=e(GU#b*e&vAj-55vmICiX| zPNz}MW}dePXfZKS|NUB?`<1@W|NR(&L-z1}i)nP~NVd&I=Z%4>u2HdQ^yU z$i0FBo6+rIO>E~6>Dx1N-;Z}!dRHILb00RNO7gr-4b!F>T5g-?9S?7N*&-4QpOTp< z422htH&)r}*iMY07R8%TZLdIvCQBc=(o0aSYlY|OCJV;B8|&jcrrf3(q!9_mftSno zcjw1v3bs|%^V&Ik5;Gare6L=#ZZA%Z!fHCVUEN*k*xr2zmw(yzeu{<#;0bV3q}Fk1 zc=yY$PT&1>7L*X9XM|ilN$u&cxW6m&Z~T4ZeH~)ZHx#_ zS$wj?s6j`WIb^OhXSj-=$Bz(ueXcEr#Tl_X~$LE+ch%o{;l)ZQ1{9RA6k2%V7pe_Oz-{>>NMAA#7Rw>?|YJfOe0AMP(SKx0h#c)s+4}S?D$9}AK~$(Gmuy*NA|nJyA^ToFQo#~Pv{wm((sD6hFXM(K!Vl(P$?Czi zPnTa=k^pl6Bt&?)L7|^kaaagPMDeMT|4ZOS;DeLkvT}5Gy^F?C_{;E@i9xhec$r`E zz<7_z$yos!Sk-!5^cw&NPGx$+$1zN=^LsqFDJ}2K^?B{|FV|mMOOJ7x(X>JJ*HQ|K zU_Jy*u+}(D3OkN0yeL%4_26;EJE!;aH{0##mUx~fa`;~$VPs@76*D;>@D~_YkTteL zUlnSY#Wn4?*jj0RIKM|`B3+(NP|x~yy}U|!&(vN&dFIcl*0ior9rh%qA;Zq^kKV=! zQ`*;fOO9Xyw2nO9LQ;k%0`+LP@ITH&WXGDZmB%!pE+~E(@C9YfMX%^mT z%JdnVq8j8u>|j>Ge8zM*A&fnmid}|~D1`)zNwdM+88j{Q&p&wVKXFHQ=5 zEKAj*#F_c8uwJN#YIY|5zeifs*o2O2@xg3Ej^xFTp<`8%JJ$9EC)2>i#d)3Df2zyV zxz<-47#;b?2i=O})VqDq^qf)#eDYuwy)wPRg200}TARg=5E$QKFk~nEx=mmzJCr)MT7H}?rzcMyS8Q(?0$ ziP6<0?e6;I`QX7s&R&Uul%pq?Fs(gS#`Y%l1&7&qetks&7h@p?odWk-R`wG@VBqhM zq=PNqBB7pzKim17Y^17Pc5iQk&RRI zbaY325~o7~qtXu&wl+%-_ZZi`mhy5W64_GCW7P6nJ++KqFKu}1R7w$H6)g~ZsQO7{ zI*rU4sqcKj6=K$l@y>NE`&;o98%vcV9Nb9OQ`qVl4Gysuy>M?fyg>iHVt( zKT43Lr^3nBWXdFcb?wI6k>Te#^X_Yn3i|c$qFL03T-s`XH{Cqx^Zb|(YQJ{Y9Ip~2 zJJ51{q2$@99-nXmq7VMhUSdwX&yMpg3o+B^95seYj+@%i>C8YLeE3iBdYcu!bsi46 z8C^o3n81`MAzxQ!Kq2zkwq0}<6rTxz&>_YS#EqtVsZzBd*5G3H3K~s93S5E>b=tz% zTBa~qe&N5#THNWcjBd?e2-crZ_Fs{!D!CuoVoe>36O&bX?OQ*s!hW~O$Pkm~P^fR} zv)C4aiNV_;COX=SZlx+%ngj`;h>Rj%6FYxq_C}E-`R5Q)d@Is4L=ZF#%<$fIS(>?};b@f2hVp2?(WlSGcSTuOfdW{b3?uU{}ax z%#p;N<0%nT6g|y@nnS0tQQD;LA6W+N%tzXGZH*8`Y)V4PEU8+R7P#0I9rvp=QwmT4 zD652zQ^rgzi@%+H3V4FYLPXBj(Q~a&HIwj8@3;^)H$QK7E?I-;uBkm)MsCW>KKq{u z;pd#Hy>Em5U=iWwh|>*51pY!cqYD^jp#T}K@SYqI#~C07xNavOgKUgSyliZ>LMwXO z^o(qrq8Sf3FdfER)5upgP01(7n)c{!jn8#+VlkJOJtUL2US{?n=!U$;^kB+tB~5(M zKS&lQR@2YtjNlF}E-Umz`Pz!(FSC$BPf$c(ArS1GpBnfy{4qJ1PutjB#CJZU=Xf_m z6k7{6NRASDy|hU6>GS*hd!+4jG<>^dgl5>EAKebaX8F~u3=Fc?#&~AN4WhkUUHep`iaLJ6abtS+pByCJ=us*BFVX@iOv7;qq-2XC5+RcBA(2(|nLVAr+^YP|lB7B4&zyg3&VG_{vbo4DG(|vo>LuDOjE*%~2 zd={(Ihj(>)gAZphXTI2g@NV9n8dj=Zys^AcV}LtsHMb#J3tQ0vX6T2jDRg^)lgPy) z&)vyd$T3>#UY$zKUxfSDTIYS#+q{;wYDWgYX-wdGv*Ulay^aod=XrB9RYvUr{|yOX z6cle{|EU@Aj~Y#wT#~E_qdxB6wF_rW9K;>Z(|7z3;^ggFyUF6Pxlvj$F0%wvtYv3#gv zn&OFLH~xjb%bCfXgf^c&0@0`thl&1B@aCVy@!#f{o1bFS_OfF z{QFG7uz$1N6SR(PQ>wqsR*57zS2uXpH*{+v_Ru4!$pbh0hCts6k;_Sw+oRMT9=m4& z4Q2FM53|!plUHAIoj912j5@s6K1tow(yVqT3^fVG;7c>2}T8dwYTpwiI7pS>gpabI4c$CH68S* zZdWYCYE?v-F<-04)Q{s73Q?Y6vRo5JJ})e5dUyVF_ma1`S4RIqc?LEUOwn?laByH* zKGD+7NPWJSN|5H}X3?zSXt>waMtUaf7wxc<$bP}a7r}9TVO3Y`D2FvQR^T#%SL0H4 zj4d6XQ`E@B#L8{}1}KK{cA$rMX3=%hpNhM_BQ2)g?dLzRrqppZ3w`-kyp_(AK3G*% z^*)^&>j#}q>2|mYP;@Nlwl*~6Kc5@U#T{i)AC1EeI`$emCAim6IkO6LP|HV~WnDMm zRtsOQI^|4RJrW?_5;$;VnLu3HIQ92Uck&SVR5=BPU9p{66OqM-T)SR9I8a@(UH08lg#Jj#8^P6>s>K+*b1 zFsyi)QHe?V)0fC!s9r(^ca_4?IN=ro%tQi-@aC^F2+2YsxPJ)!LpmnMdJ|dZhYmm) zAw(J=JVM}ObjVZO)Tr&3+7lu*GJA<`_+g2rDtv^znUo4P9pW{$z%MZ{3Ea7 zRHOStsYRuR1YNB(DF-b>U!0}RSIdmxRGOg3$b77;Y>uW-YvT$(A#%CR5XKiSA>3Oz zUtK@dORf%tfe5XOmQ9H?XaE{Y(HVAlk$}XAL}rTM1gT;y97IW-B&z4SwtR2H28j6M zq6zEyA_yYtB4B-4fP)Js(-FrcFyYLmyMhxftZMziDkA`#SiT~vSPmtSu`c(+ z>6l5_ajrUsPe|3@&xHv=r^ebA>}pZmKn-;P)%gC5=!#$rRl?`%RqEI03612lQ1C*V zK?ZxQU#4*MhOyQX_O5eat&l=x*Fg8F~rL3wD;%zHi z%A`48_!T)=*8ABy{=+8gXn8pk6%jaX3qlKC$(E~Z!>DTGA|ysnWdUJ?SiBT~*{lHv z8zrsga1@7FYdxcmdCU?hCQSjFQtft`spEu+rNEq*Y_VsVBo?FTux-;=KCpvB4^56c z=qGkJsW$1nKTZg2v;L;Y;4j$wL%#|R1=)aNaiE`w@q;pxKv|5XuBb*GFe%j=W*KC; zjrG||JFUD1J0kLpKwT{R*B}?(NTAarg;#GVe*9fWbI>9Ht2W5plHNA8vt#xJ;Z^s% z3h`W7vIsdat{dz7)tsQFb}wpE&nMePM|>Zr%Cj9wm!d!fNji52 zW)_n%^joR#R1(N--{_dNKCd7VTK6u5Pv&aQd z`R&47s%dJ|`*Z8m95;N|6y9?@F4T0mKk3dktVCO{&y|p1)kjc+vi8_0Xm0^FI%W;? zG|VShhBY7ks=AU>GjY9k%%zgP`O|l=obk}J#^6&!X~HgrSzUhgFjBvIQrt_{jvmun z+g)3v9p37F*wFB>IR3LJd36@CRnZf+ber?i@b;=pU#Lbn@Y*VTw!vZU=IYLk#`ED{ zpwHPt{hGPb`}6$fcl`X#{9XSSBRjZX^ue*2x?6p?r8T*}V`x5_sk-UBn(sim6Ar?;PJZF~;M*V^i59-XM6VbDS{%8&9hCh0U-8CA$z3F z%zFObeayqqhbQvvjrB3&;v=o+$o?DDy!tg-dale<4TXKkf?0Y0R3{p%VDNI=&|>SB zk=x_a>IWTbc;Jh8=SD2SPD9z63Vos|1J-@({C1DeaIOVbit7kc~e#l z#=#!l5n`Cor+m;+d5hkWM{v9@Jv3j>HvF94RExdfblo4uLAY)HC0LaRF&(-cnh6vk ztv#oZ-Ry>@>OuHflOjQ+z{dbeJX{tKani=qj+oDrA8Cog&KO_s5f8;el_&tpfM7C8 zSqOgo`!|17tsABw>>qq#8;?+T5YBN??9IQSn}(IYOW* z9y5>yvQ9duL_uEnE4C+*ykUy*`{8Ta94Mt|Ihp!*ahC66_WOmak)`&u+zz@Y)AHnpLl)66sC+EzV34XNfMQ;l;w7acumkRgr`0=abJs7AjWx5@vG+_};*; z?2!*AZQCt}ZhG4GR?7J!eHKq-?B{!z2`p-xrNUs@^{7VvK}Pwg#Q%W>gGxD1w{s}N zsFcPM2K)rsnADt93eEI;t|d`@;Y)}G_uXx&`` z2c2U#3#rgm)u2+rlcNGcmADa9nr>6TD*lu(n#xoDq_Kf7AyyO&{5|G50&`%B_EV^G z)l&+r3kb}Z4B9LVE>xSjX|^{&6is2t+z6OEcdmuq*F?%7($`GbovW`*8}2xnt$b!m z6)Ca51~vfVuL_gP_uc#ztn$o_j90UCU!;;B3H0{!lc0H8>7KH4c9J^ih$`>6z16LB z*X1_Kjb+ozO_d+h!(8vx)OY-vJ8a(S@NE8gc-SsM-!wm;UTiy2Y@P6I%kyw-uO`5f z|JB3&R^U>ENC3E5L+aydk$aY+jo@FSCZFT?t!kZjWfQagxmQtS)pI3cH$8jOH*Za7 zb4t;-f6g(14}AeQA=5lLQg^w!uz-V^r=CK&4~n~}9h3Gmfll8m+lN)qg)MwR>|5o| z)vjZk%MFjk#8Fh>NpM3eMYgz)_@+JyV54a{A=$)CV;6K*xN&2#0U9&>(CX9s(z z3jd@|MFrWxztg+V7oO36Zww?_o288W*PGS2J_O$K+|BgAaeVkK{ScNDcuO*$GWKv+ z!9b7?gC~?pl*-qh-y(9Rv0#xrpSyD#vDwlIVQCD2Xy;i}%uDWTa>usYT_mRMlz`jh zo76+w%~5<_0QRacpD%f@E#3XZJnYzLAE2b|zCGeXV)*u#OiTv3Rp^U_KJM_u3+1(~ zAN{_aT%?u8eiPyFJ!zl7dwRwUV7*PQeZO8RLCBGIzRSjp)et$k9%gI+Kc4(TE< z86Vyh8)2KS*|)Q(4$XM>b2wzrQtNn{P9mzJ_rSSR}bx&KFq9oZ}X?)r48I(ko* zH-pN|8^RWE5U`=8rKFUB7MZB_&cKz`jT?-o5#b&!Z3^-o`pyM8Fj%+!#9B(aG@d%> z@o!l^V*^@CJ%?Dnftg}=lxO2<7ZFRiJm0GiXY3)uDEZ#*^uejtfzk0Ftp%#|766Zcm768l+8GHVzs zBwTj#c7`S79k}_p`mhq$zX{0QqEnf7U$jA*GWYrDRTFr*{j|b1757R$Lv8*T9iBSp zq_&&)5X<2|M_7NOSHQG^4-4xlq)N6f1YhX` zqM0P4a4dM2#_)`Z_#!3=3V{H9-cxD}41K|!@!%rwq46WU``z6_ZZ;(I)`Fb{|263o zZ_96u09p!}_dQZ?@xL^1M+d(Uk$AE{D9>bS>1SG+CBq0os8_K6jQAvO6%v;LS7MZ* zRb}T(ri9q4%791;LQiw$inCpr2<@@5Dq}D?ASda`>|Xs=IfCl>SJ(i}qC0iaUm~zM z@mF&8Fs*OM6I8~KIo38gdaJf0TecGNnbGRB7Hp9w;4F=Yh}YjD2Oy~A%oiR9HVAo< z9JOOs*4K;B#7E5Wx(3EExHw1qXwk6fz=^;W1~=J`z=!)Qj+8fz3)x=`-h+W-PQ3iR zq)$SKP4Ob_BZv8GN^PU?g;)finNk$gVi)T$U8A!YCzm-oE;}m-J1bt?hayu(oFbaS zkoEbg`4P|-)2_CyWC3L_1?OHdZ|@hZzt#u5VplN>;t$)lPqWZhR-#a12Q*I}Kk#FU zS6Ym;Gq*Dib~`*UC8{ptiMh=9ptp>1?1ZI)a40*6l>X&EIDO`&A#K$t zLS6VO_O6wXg$K@{9~ktll(Cgro!3ZbvyOo6pY^%NX9n1&&EvZO^xMg1fxWE#?Wyj* z(MpM8(Muh1``3mlQl}Giy1SdV(s#3)U9BkbJgJL?Rmr`Vhp%FuU&V00U5+-PDf9L%2;TyiFs+1DU%9ixKzM=>u9eF@Mioo!Y zI{NPd`tSa`nA+^>CU~`#$`>;@$d-4t??^urcs`HvD3`unsJV?`Xg#%ZY}*mdd-x|T zJ{W_mXXHBakx-0kQpKJQnr?30Xf*x(-TSv5y!y9GmzVoJw`8Mv*GVme*JgP;cc*N< zqj%en0;vpN$;a*fmph&JeD#lxSHGpdZjrmuw6u8M!}s-v**$D~YoQY1MvfV$opB{H z`R?#u7HceNCplFXMbYzca=X=W&wTf;CADlszPq2w>5FMwn43FvtCJ%jTh~7Sxl<(= z*VNP`B;3?6wHV+jL9e!T+N9&?U$uDOx}VcoTL(veqrU3B5PF1d`dHfI05CGHfl4C< z%nj$3L+TS&ZP^3fcJ588;76w#2Ue&`kPbvCBC)!#5cJ7VbE?P&li#r(ku(O*tx6 zpLBl~))Zqj!=d~(&Sy=ri!=13z{`w_M4^|T*KNc~84@F_6c#z6Z&g(vUK@~RA%1Lp zb_pkViN6;ASvw7tT3Jn(22z8 zV4Y>QIKytQGLRe~LKX|C`;@b(12$CZPkIzY&99xLXp-?-(x4 zPxYH6q`#$l6-=SzKGNUorIz>B3ys6R5g!pGuRSKmJwO?x3|JFsZvU6(4ouj+7aZ@ZHZ8w;z*`AkhxyksOzA_Rp*-{5oN?bs{aQi zLE64#jliw-0lgrhjx{dW;GF;g7zl1VYwNPEy|IXmcS5O{NkGPd148f^ocG=#1FfZC zf(fpb)H0HSOTpW1oiPr8Y&YZ0d(Rkh&O!j{U0b`O0VP)fay;c+BC@7&)_E72R)W?Z zGkZH$j4{c%-#ryt)taZwbK2+u!tPhUPyX!NzyDW{-tqPG&0qGrugvqy^5S)IeEoIT z|NbBRA>;7VKmCf296KKV>O*h&r@!9VI1}l3UNjdkY!*e4=S31fW;DJB5tbKk?#(8~ znvJsf-D39B#ZT#tpZ-|-$v3UMab;!gni~fX9J{e(@{x<@k3Iab_f8x+yqGRHx80N@ zqwK|l*xx$%f%AVdIsFu{ET4#fPSS7w`|=lmHhKV^if8}pYpX8U8Z#{JQ&~Rb6yt;h;!dWhaRKiqcJ{i@Vp-4`jKBLq4 zo^RjNLAhO4$B#WY7%mGHox5=1^r_9o<;4)3y8FK0+nD_IzkK#t&w2KIdwbaHxPTky z&Njxd|N6*aakaB=-|Fh*&?PT1<>kz$tCwEpz1rFuji)9~#Bea^>KJ&F7u(rlnk3v7 zRW&oS`RMoF`1X|>uW~Nj&w2be|6}sL_uRhnm8V|)11#7+z&B<+2~R&i{)CxXh=B{e zFzA12`S3Rt3=^3piBwu}2`H`eiwmoh$z*$bRMmA9MQNG=j~AB@1Ro}+tJ}|hwVW48 zn*67$|Kmn)(&-GP$h>#sadFM`x?kS@)gMltYpr>(IrgmRS!ZYG;xz7cJMT*0`9990 zY~S*5z!-x`Xo?bmdt(J+q+~vw7G>pwv)*DrDRgX;WmtJsmO8o9wEj6nu+3&OiiT|g zC^68qOOVo?`03V^y>-Lf-rjC?KGXy!Ye>Sui;Ig%l2BnlK)FqRB~G1~=5|t(+~VnC zTCokW?5(<^EgPsLD2jrDO6UkD^BLHUvnBXTP?bOry>PE3B}r4#G;Lk;DHoPrLhWeU z@Y}$3685BNnq?V*W9oa82GV;!8jWbcU^<=BO>XBLTC027nW?ncMH`NIQ-aR)Gn=Mq z#U!MPX{9f%rDkguM8fx0f6qeD`k3<+ zI76@~I4~Y~48nMi#(2g(pv)2xvr#^o)>G#iSzFr#-qBo!%Gk=9$_C_$DG`_q$Pk!E zZ=DSR0njuJcrUn+oJ-CcW4)(m7683cJ9CnZl<5JzcPNM;bcmrU>!!AGW{kB;M^Y*u zyt9Fvf`k;NF-_eR#as$O3^(UIO%h{mRW$&Vr&a;uQJf@6+SG=oFiEG62mx8}4pHq8 z!aiU?!FVJihv-<~OxWPOWsy!e03cuhVBmsB=A3g}FdD9nqKK$W#Wao0&~jBuODS3= zf*u4~y?bo{+F2LcWZJO5T^C)F^z5kqxDdb?N7RCI#$lJsZ%pH?4FMUzPGKRX;2ep# zhrk*C|Gwz|7sW%6po}^1^CBl_D>4&6#7?)Xqo{70y0(tOx&q8*1uzg?kn)OiW?e9b zTt__uGETW}+&NcNWxqEx#?*CVoio;!Wyvr^OkicuTPtNyP$<_pD*$v*Uc?Z~Il$Cl zS(X}LsngGNS{A0t^J^b_-K@&XYHG>}<1FG*Dz6iPA~J<_EN?=P$e^*^G^Ogcn<(_o z+R*Fv=JR>oG?9*+HKsAnHh`hm?Zk0h*ScvM4!{wEwN_C3A~1laF?lf!h}L_hqc~Pd zDXBFgN+G2bfVjQ2>74C!Iz(@bwzmO5Dc$dPd(SXD0}3UW z1Q(ojMh3|c(RuG21hl28Oanpy=ZrDUwNL^WIPZMeaa}deO0F1i@KiVoh8zR)2w{g* z1Nz5%Z>{lEZE$Xgzh?{p8RuFlrF2!5oD0&AS?d5DFsw{TPfM$3Z8!b)50yQ;b%NOI zb-lOA6@vf%!T0*Cek1F>?WX;|bV>8R*S$_+ zeY%$p`vXMz+=;z)l>b^MEsHaVPmo*~lW(p!Me%_@sBXKHvmYFMWO@0+bEv1Yxes{F z6*tDwDbv7gHv6*+e|oun1KLO48*hE+!lZug*u5aS;@R=L_8I^FY(cpv+0Mt(m*S|;;4S+wRm>1(gvmj;cW<|a|kpk_U^E}a6 zqW|nq;`jXbxRVak!Eo3Iba^v>vfdv>@;&E&d8uO))#n!c%+IAUTJ%tvq7J@9WJTQo zFwS6mdwVjS{JJqh%C|@Jr*foyG?KPM9wUxUs+&$WwFyJI+_1<63 z@#^U{|2qCkn#MoT`H8$&a1g(7;7SPkj*BUVFb(m>YTdhS;>v!2sakR4y^quXV z-wK!aYO%h@41OFZ{oa6c5rVhYI2W3xqR>{(r4T|%Ed?T3n+r#64gg+N73YbROiB%a zbzKX=l~NoOHLR3UT7B1&wJmIRm}BIQMJzB=H(GTE-f%6PwXswoLZ+}N3ne0H7?)8Q z=5t%cS;~}{*QGIK>1qrijS|fwDK#KdN=}PnRy1`Jm=Fv_0PYYPYn5V5aA&RLz%Z0~ zK`tqsPDh)@G>vg?#~|BU-0f^I41gXGy>mjUG>Jo~nGimpcaGMB5K<}4L}ZL11(_6L zG8s2b!;=^g5d(FNoO4;H$CzY{DHRDJF#rQ0ltyIUd+P!M3MmC+7+eUBOnWeRbPhs5 z=Yw$;y|1nD4mm_IWfV9B9n4lx^Si_=B}LY>+}}a4hUs{G0#+hfHDHX917zQ8F#@p-gF`W2vt!8 zW3|?UPDe^PnUj`|hu{HF3N9sSvoN5e9SZ2ve|`JN@^hmFmTRM3WJi8oRR!@`Eo{?@InYBcLF~4 z?>|H~%yg=iwn40;C~_{e&0o%Wx7SU3DKTX2Q510=?RH>y=a4+xO*(AN*V@8*?_U4? zgYPAtfA#dWk9AKo&J8ES6Az#GV)d!lod3mNf5-nmX{K*|@ZRaW-?i^eZyth3l73^M zs*IgH{V5x-`t|(5-(CLQ!-pk$Z(Y|J6-9skarvQhCSQk>W4q2pv@jelEiN+#`_@(( z%Miow=-*ixjP?yyDil9(Pup8AA4pY^r{o4mf% z7Z)zs_Pw=oI9U!F%;dklrFzp1gWK2cxb|F@{`2)me|PKn(%#ym1T8k#cK8X!RF>-e>K&?J1$w;i4nur`gT6g`(^d#wf!+2RZ?;W zRpW%{e=?EJuj*gUoBREJEAvjd{sAc$$DI?ewVU-Lj5BaHIP3qe)A?|uJ85@&U;e7- zXHC;E#@J7&K?KH|4ZVNF_K(3UxAX zAz4eyvJ($YN6d~zuhxWw2vZWnO|pd#Q@Ou~0O3L>F9^CH+RC_Ite^-MTbQl~R+*q=mdxY*5j1 z`0!zBV$fDeT?;x8TPOH7u$J!I-a$2@8)>??ZIiZxjC8|EBD*)5uvO<%VbJpBt>~Z7 z$=)df+KTB@Xe|-xI;rSti@J6KxXlQIJ*l_t-~sFg+_plXR?78Vc=SD7?cRlaUNX*< zQi4mRqTtbazvG*ZV6F2$ND)zFJC7s=Cb;sxR5B7mSnB~`I9OU9)F**8^5?%;y8l&SVO_J%XkWy)_l-5!ysdUpcL_|_xkR!* zt)r!djpfI%q1PzfbCNF~UIUU0TEX2=-BzyhLkRLauC1xEzu4Q*F|A^06z zEx{!K0`TA+0tg{ZV}J>yyf#E2>XWj2c7VI5FIndhfCiRC6V+|Bcf@hr4ofk{_U+r(?t{BR9UsS$QkpTEk>^R0Aeh|+#Ju0}Z&4Y!wRpyM z+!gi@7rFC_qgODIw$VXqt}E_ zKp&J6j4|(Q62~OC6g$gESnIa8M`^c%(~=k?YYkCcJ8r?=A>!iVA{`{gm@Ml~r*o|% z>pU>dxkO;zdE-db$Ps-&Cj^&T_~6T`G)*Jo#5yO0h;)oxHqHkK#4v?`NfO6NA|wkT zARuRAC$*O`DTQ-8nO1uTBpBng%QArA!8<&6_5z(fyY2_fInSAAj0F#xa{e3|V~b|C zH>QMM($=_i;%X@s7mACPFLcg(ux#h?V>Iy2;QI*QZz}ic!58jIA1bQq8C%cH=ILj8 zpFZC|d*=Q--y|>o1@CQrik&G+SB`|8i#G<;vPFb&=Tvf!N(JdL99tlU2N$WqW} z&zx3&^zLi_{I7X2A5QbzpYemuBM&WpDs```o#$##o_J>shKw z6HMCGj@K8qE>6bdLkBLIZ_fXy_iq1ZCw}&}3y-7xtpp37sKv-)%XGg3yn7Qemq8%wh#Ek&FrA4`(I zQ=c}`Uv9;zg!oFh;ZgL*B*0C25~UR7wh}%YkH>@>TPML*F48i@bOaDSZZ#OKW{>Fh zy)u%PsHVBzc9yhl{Sj?O2({I@7DYjB4c_}RXU-7sPE)YmZkLE~dLx88_kzeaKWjW5 zQ}z~d=iYnL%2OCio5R)W#p%6dS(fKH1y{A!knJ#QtL7&>N8X+D`J4)jIF7Z}yit*g_|KWhVs+u^Ck|arzbT}L?EG%S62EeMS+TO0q zvZ6|9w*~{!Hp6bFFO5v>O^oUH`?Q`39G^LJrYtKhxRg>U?VKy?+Ix=y%cA6nnsJe& zfdMGaz(-mokvHCHjt%$_5IuSUwL=HN3P33tszgZ)taf2qn7)kSPTwJ`rqiae*7`Ui zWFHs+1MrB*5CJ@5V@=?!8%Jb-QB~DsGU<3PxS{du)~3lh(=-i%9BNf1Nvf2V(gXy? z$n#zz@DPA8PK6Ko$+!@h4hSBB@{^o3HUwmW1&hHTQ(Q2?g5ZG*!GVKEA21*wW4bnt z0Kq{(;EXZBxRgwaT|oj-GTCTT{3_qNraGfy^~{yK`N!B0KS9#SSL!+SkBQ2jJc_q z;h;EkkybKr6i`+{N)a3Bhv?j6s^EWtrQ?#&Ob^rYNdBFRIFRx(kD0!lVoU zTuSG?byjKZZD>pdz&J7Do=d42D0CPa%R*3s*Um&~gx)t8LK7I{#<+kWlu}V7lyuHI zZ?)3idF!nA4j6+PfdP^R3@`*A0-aC72XCD5jd#u?BHQicy5OyM##n0%QF+u>+EJw0 zx@zV-M>XeK$v94k$#BjAV+e?V#(9Q257^FGi_99!85dG2DLLb$+xz~(_cMe$^?lvp z`6g{nr<<1#E{l8p?^F+7vV7$O{gpeo@E5k(+9ikgU6FNqr%s(I%d;0F8xEb_zyH8< z_T4(#9yx0xy}#Sd78i!y_%gv{hYzD9VvF0-UQ|*|)~m&(l>kCvba+i^9rI+cRnO~4 za;A=+IJG{yDjoLMPhLn@ubDH0$cJ2B^2pX|{mpx#&fVsQf&S9!VtM%UX6)73xco1>GBHCJABl}LF|yt_CUPub>c&YrvM zw7>WB<3}zvJUw{g!KLnU@9d$I+nWn(%MYG;_)?9c8;Qg^mm6COsZr=@zR!&Mq5!?_ z4{N!cz!^Ti|C1ZfyE9+9yM#~pyE+SYGQ7E|-!k9o+!XdA&Bu?g zO2&h8&v5SY)7}66zJRx<>Y1i|^Z38K{m}c1q_{2RPaBuh$@28JoAV#n470nB?#uqV z!nZbO{Tt4nxpsb&?_H7|c-_9vdUCB?yb|rcudhDgOSj!PInv$k`G7NF{&4V>PcJtc zAv|3tx1^~Le$nrL;^bw5-TDH2cN`_Y4Cw8PQ-k>w6IJ;zRUc91k zpVp5if8T;&+OdhVZ$~8Qds=^6@_`}IODi95Q45{-1b@r2q&lCN%hrdDBA@85q&RP_ zc-sIbB7o@|%Cc-5zZ9=am9F(%J*LjN?VV6CNoHDv{~`B?;u+YV~$ zGed0zYNAp*rERLTj&|gmNpAFXAE*p#rH^g4RLkkK{quH|wyk_x)xl0GC*@J@4kzsO z%$d*UbZ1&iw00DjIu*2d_PWQk(E+VAsD17C+%5`&4@&B_m3>(!0}N8`%tmi*ZH*`6 z5Q5;`3uH_%QhJBrybC_WQ6i;El5A;diCmk?qOQt%I+>0}BLElQVOMz@!Hy1UQ8kQzz{ev zrlg1ipbg#`55Wcrf&nsCyWqT&BGQrI*jP6&N~M&JlP)59ucJumNIBDZXBvZy1zj}gn&g+IqS9TFp|h{35-RW zc^`yS&U<5>^FauKJLI6}LU6&Iw^dbIV?ZhlAb?9QfvdnEAV-gehFKYM&ZQ!rUU0#= zU?i^Rz&PWa(bI&%2Lkqh5JGUoO;RB$gmab%{t!HAA7~_chxTUz5v}!zp|LgN-!%np zWmhe#VT@6raPU6-8~&8FYAs+4c9KIMU3|}kj?xf9nstX#0~h+Z8hD!~p_wA(+yUlG2#QJJ%Q^wQ@elG&a_%L>uNo zu(B$YR9f)v!myal^Wc@=N&aIT=K0KfFO>G)BXVn;QnB+;dp9df8Aarm?0qoSibyhv zTp(kB;5g?lMBXdcaDiS2jtJn5$C@W9I1hkI3k;xiq8KoSo?+S4bWFIW=A2O;3x)Pk zE0`WQYn<~A7+Pl>hJYbJ00DsDslME?ya=50B+GUtrx44s+UYVQ>!y8Ls~%7aDYy(6 z5Sb8yNx>NN7!WyUg3%MkfGe(dyT)`}g%FH0;rq!$M=E{IHMd-G-L;d+WNUltMA&qb zwA&q6)%}NIe<6-n*Y;WO7l((GiW%zbzdhL5@Y zM)0bWrHhLX&Q{Jv;z`@v+ZRSB(x?}w>9Dh!b~=;kWKt%&yBc+SrfDur<)}&6COdY_ zzx3rlxYgNOSzhw%8=D8iA#>TK$)S@6*5YWgR>Bug%+5V>i_af9)Js*;?PUG@Z`t@0 zYSqjRB*~i-GqGbon{RLF$LG(8S^f90eAi7_9PS)Bc5eTP`)mvkt*=~h zWO3jAuV4T14mPuh&!mhY`1$nK4b;QzM7+ElB#(!k6w&STq8}Z9@e8uDh`d?&+!yK> z@AtP}&hL8g!k}N>bhAEn?)>cheLr?eZ6xkl_xJhcJAWTR;wF_ z*0XipQ#O>-`37iRnGpytIFrJ189N+=T4Q740=2cX?XwLVzx-eQOHB3cD!K58+V6QG zjGCQ3GCi9n=_^N@@06ZJ^2bKoYWulA(tP#t;vO!bZq6J<_SM+UboBSg{tM?XoFCmf z|B_s*Rp(6jD3hO4ZqsiW>%FcvJBw%Bw9aSqcyxF6w|-$^(8*GT{1y-2PO?w);T0t$ zcYgJ~LuIXdErh?vdRFlt^KL!){QHv&Ao&g6zOpPaT!>UxG3meo51fB)Q7GH|unhM; zy?!K{rS}T)tsu`S{b()q)>M%WD&n?jK9#I&=qT!TyCl^hl}-p@VPS#nAPG;m(={zg z+-5?NjGlO90HD|@@-1iwUg_Ti{psu&jYh-~W?5DgMP1j6i;KpXjg1ZZ;VpMgc#%AC zh!SpTw${3yJS(-73^|iIN#(o12?OQIK2CUdow>@YXwSKA#VVLsG+&UnCVX zl$G21;?sMisneFT&-0uVNA%Yyie|G}x7(#NZtrAj>-Iy^pf-+*VryH1UkK6b^{AAh zE^#|4O9cR#TDH@KbiGeQBdJWV-F8M z{BTi}v5Evz4lBpNLI6M@wQT_2crT1A8atOvDJ>L_JO>^)vk;ml_~5L^z(I2^j7JX8 zjbxlA`eO z6~a*!yPF7vJ4%1VN7?^g2$5yIEX}-k>x^gK1_^=#G6-NB>$K=~I#CpP z=kh#{qbQ1E#u$1>kqw-4ZyIZuinNf@JHI3JlyXewunL29uv@_A*X*r9Z~-BXahM4jKjxs<@Iaflc=#YOLAI3Vd|5WR4O z@3q`*zlOkBL~}@tA%f$a0Wh|c@#Yce8HkzO34`#CA%0gaN>4@G5pI(p82>)f=V%o@ z^J&j~+>@VNfANbaD?GOEz{cigRh8Xd-vys$X}`BnR`q;lji~|D!F`u?I+;FuM%;bx znc@DG<%84dEYiJBg3AkQiRcWwi;O{*MRC%9;J92_kp~VuJR08^5TiI*SzYV&dM8ev z?{=eJzrVG$wYa#rx^Mr+=4Mfrs|OCKI5~Xiv&SC_+jRrypKOyO`&L1VtGBi=pMNEe z)BBH|$h)1%aNw8SZ6}{8ulLDXUft`@zV~m_m-fvq&$w&F|G?I0yBy8V8rEItr1356 z#r^Bl`Tm!;zjp5vKYZQ%OXH304P&dt{=(9G{-~L470ZiT%gfF+#r!Gj)okDDJ-vg6 zQe@NV){)0uyZ*upH~!1r^I0=}`O6Re_J18kvD>(5u(8Q*zF9x%DP7~XzxBY`;^I9o zIa-y+uJ~Ye=@$-n>t_9#8$*9~{|O#tonY%r4j$Rg`@lV&-UB}A`qak|P0h<1UJD;yUYII0 z2UGc(-k0v}eO)E`M$>GK$JXG04PKt-LUJY4pF8uEy7@|ouk`%+qmjM1ez#JC{$LjM z9<8OWlv-Y1E{dYt?e==TR%uCE{FcKesct*CNy_rcWYX<+DKfTI{Snzr7>+6d!lop| zCumE6rVWds0RWQhld^>}w#br_E|Qc0M7fLI)TVH(I zYDjiM=ypDz6QNGE3Ss5F&XOb_BIqWiBydl2Xv5)906@6`e%E1eZ{jS8Pg<1Idg-)tw5>X*ZNIdVq&8BQ7638&-`i>yI2V9y zKAlg;)3PjQv)K+W8-n0G>vX!^F8Q-~PdX^yG>w!pO*^Ks6FZCJxGAa!A2>Ff&9=5S zX7d>llu;BdEDVRkq1M_tUsWaborc2!V{AH|Dy3+UeS3SGNc}e4mpogWnkj1)A>+=t6M7=2gfz7gD6L(9SaNy+IbRwmyX5xe!uwrUC~aLfsfCxb?wX z>zv~ZAb2S`U_kV{=0cpJ=z}xf@64kEv)*~FBF<|Dtjr50MUtl0xq3Q{qQtqvIbW6~ zSte>71DL9+80TeG_~6+NX-&-#XM+_?0P|cRFdF1gE~L&!t`gk3EXW{2U=Fm45@n6` z&Y=m63F|!q6H;ldrP4kGW2z{QDTb_71p@-n{H-_64){in!2{fg3;>ZJ-#&EIYi{I&FQKs90nVpbh$_CkO_c`wYk(!z9%xe3X>>Vp_=guER{~UhF z;Y;b^x7KcLZSCKGU^E(KS;`pY_k#B*MP#kD)gpVntUYklO%k(HGdIxU)}x&8Lr zPd;+O+n`j$gU5iudj`xnr=?7yI9AF998G2yJY-42xK7&ILoEG#89>MjgPitVk-_G<6hda(%Xrl3aGiL6lNbDLQ2X z+hy`XaNZf?lu}|hrO%kqU`@vl2dRaKj2V{0f~ ztN;kh%gEQ_ZoJ_JYw|0OTyy=g`%i349w{b|yZLBS>j&2_i<2v*JagHl z2M_cW{_WOuI<2ogTG;2z=WH^WMo~wO$D`3`fAH6xJ#*iDzB$_PbFXOt03ZNKL_t*k z#vOOOxTxfn?|A5;>#urfxf!gO)x-V8eyq+{;kY;2dImaP*>^b0RKwT{UpBmWT7BV) z8=Hks4c_(cgC96@;z0 z?1j!3wr9_N`r4O16U}D=tn)U@?$vDG7;9_C5T~9UU%hJSpH>h4#UDR(=@sLrK0TXE zqow7}9e0>}@6Vt0Y*v~6M?YF4D+`n#P4;)+znor`h<-=th5HXmsSaMTZ+U64X-tx( z0nKc@DFrlj5dn51oodyI_2R;Ce?RLoQy1f6YvaOXz4^(XC_g0|(+%NQ5KmfrnqhrH z`!B@t?T~$Qm}0=Fgl`@{GVRU(^o1|5AN|l)F~3*!t-awc;nw*#eyTPrrt=^2r$gsc z|L1}IFOctB6~ZeK7(r+^to+4p|DGt0xa3}pJpL2UKCk(uPW*V)$VmTP z9RJbc!WiMR{Pt_=^2T|;sSO8ylMNGBpXxk%-6|;$A3jXZk^pew!Ud9@v@?_~_@;nZ zdW1JOH`mtIh%F|;OdQ8+Yis>}zjbgg%W^uM&gXNg=cSabZ4QarTl`J(ccoOf+ofqJ z0C?n)M@FMjx7%%_wF#IK{%%|3bzP6gV=5c=%GujcZ94T^7vp}vPhOuy!xJEGeRAmC zwU#*Tq(Q5SiQ||g`&4hNt*up6)zaI9)$%;2_$nG^AR4Pp@ZI~v3Ffx`Hf_La+uWxe zl2lA2jv`{7KCHdOA>Bs8lr2@bOA*3W1*AQs1 za(ioQI+<8&r4Yb*T~&;+#igaC<)yZZ6#~v?a|%|IQaR_Xt>^QcDumOgPm>^rN>EyL zt-C8NJf&0|MHCui8sm+VjB6DM!O(jW?mF+Md0}jmRdp{*5-mAEB)L~2IOhPH5S$Aj zAqdW#o7hT}WfDbNDb9rt9x*5(RHU`wK6ng)?UP6)*8b&7o7Wm3<9Oi z0tE8lx86I04y27l$GTSwUj!Fq!7+KK;(#stgdSrX+WlR zG#CuZs&UrmMG-~uFp2;e<7{4(LI@!Rmtu2cyF2KMNXJo3rb0?ZN-GL}v(|C}V14iw zgTvq$mr8N~4oJD{QOp8o-dWRBWn(JOF<_``gRzccEtEn4#(@D7LMSD7gG-=kn(1^J z$C{!az4uY9ITyjBbKY7fxa3SosYCF@!2=-hz&IC5P%kWaM;X1bj;TPGTuLDT!B_); zQtGxO6;g5`1eXj1hG2>PK)`_LJcPi7h~$p>1J$@8gjnr-=v%D%{=xT2l5TwN%i-K? zJ?buBec3|8Pdi;fbVx~iR*%!{Thq>!=dNhP$*oZ;VQ>G6G+?hE?p1IK>&d7VoR zyUt&I^;4Zyxc;Ui_KVB7e3VD0!S=iRjOm`b@6|v0t-n%Ak8hlO?e9CEzB`Zi9jfXo zx^N*a3dMPP^5k6swbp<8k&pajRc+p~eAVUbyAgx)g`JKI9!JBYQTCpV z`BU#4U3&)JwGf>bn!yXK{bYqd|LWeUqYG7qwzB4mB>sBL&*piyy|oz+1}5!)nJwM) z2h-*UZk|8qS?1Wokk1d^`@qt0aeFun_a9A8o!!p!XFcyn(qkvj|JHcl>Y;^02V|Be zX)j6AqAWxwTG}_9=W`1FlftKosEQIjYK2;%lA+&;Ru;3qG0kW^-aI!hw*9MK89vXa zb3DE__PzJAh1DXUHN4$v->*>>&{<+VGu&_obxZI$rq6KN72ex`9f%3af|$y!S8+Q zThEf$Ts^w-GxwjF*PmL7mFqqsFE$1Lj2b;j|K=e3OJI0k(g~{AX0dI=L1Xv3`kB^U z0sJnm9yf1<0S@6K3a<{geMbxq>j%$P{63!q0c@4o%dDN0%V!_8)xNN>K#CVKs7aD! zGMSL*qBWH#_(GbNcI=XjHHj>^@x~jE963U=a?bg5Iz4&vC- zrF)Xtozyt+Z$0B%2|K<0*7%4nqka2r++?c{rmjMgBy{C_kxC2J32wHmXKU$0_nA;T zwKz!f)c&rP(Qo6o+V=b2>EU)>qBU^)o{wEI*p)xElgE2|5j$Z%QV1cvv(EWlV1KsxZn)AU?4bElEO5;X&SARic;L6mRWFK{y)sUX}D!)RVTjIdf#_XXTC$- znk$uw3}MjP!0TWSA|v@IYA*eWm)gRWq+j{!L|LOi9;eN>TBsurobN1P1@89~Z-;ktQ>G`~h zK}uxNBuUY32f(tnL`tG>e28h5BkkpFX{}SDqTL3@EKB7*`Vg$Gy^n;*Apl1NR)`9L z6eUI*Mf+l|z{~++U;u?a`pB$xq7-@SV~h~lLu}Mm%yK-ns2h9;N|O+sdj&th-n$rs zXbd98NYO_hFmm)UAQB>jwIK#ECxQmk#1!4 z&U^1%Vp46)!eHUR%1XD>Vdko?AAkIb>11N9?RL9Ij~;Ee+tONMtsM@BJ3Biu#!jb` zBw44^kxPJtZ^~v0@)3n+hhY);VlbJ(D50+I0q(Y3WRA5wutW;!36d)l2N>Epmc^qSa zeVvvfN(^YizyUC#LZvV$h%uyDlBTIj6K`V;RiX+Xd=pY843KnKhzTZ1k`O&dDX0p@ zBod6HNFz`H-W!|)M`l)0Yn>R1UOVTVbHN1>*zMhlkP?%{7^08JI!!bwBErZFOb{so z%Rwe0U}KlsgmV%u7UND_p z7sjXh{e|O8$JbXMCuhx|f8V3ubK;rix~-kd%6Qv9edldAoIiQs4-QVEyKM1ov&}!x z(yG#EptaSjp8K5Rw|w1Go8wbY z-aj(cP1n8ZIWKxess1*3;DKR`)o`4&NL3MFXo{?52s1joa=e_)$K^OpH6pLCu5K(W z#_YT*LpEiePP3J)-K|_X_eG6Ik0n3ygCTg+IsIeD4jo>(aixFlxr^1*P7f`ocjzl# z@W}LI=bzZxz30wembF?7KliiiY`5dTRmo$YI{fGBRqvVe?|j>pe=wcS`n_LaxcSJ1 z)$c71b;gqqPsh(I>vCRJ&IO33xb~6b|KfX3e&~hu_x$6H%~KEl>}y_o@WM4X|GMoGLV}ghI;2N@O;Ytg^JUw7k4bM60W-tyar>zqz?7RL+%GUMW1cJdZ@k zOaD}-(~$>@=A_r_Nx04C=B8xYSZg18=%GeJ)8xABh57C?^i4Fo(By)`g|eq)TgYFD0gt8oq*jN%`0U!kHy-kutB>UFZ*4o*8jwBjmk^`RSnVfsJ_SRYi41tYFkoGjj zP0>VC04FDgoby?lM~ESKiLuFyY2~>h@*GJg0&oL+0tA&r8{ER7z`& zfEeXO4I#Kd2!<3P?R{Bdw06$`6MSgrT{%@F00C)jl-AB!f%||EfjI^l7=S?_6*DkU z?E(>Mg`|iO`Tu3C)qhXlg5cxf!-s`LH^vx~OeW*y#pTV-t2}Jptmf7^cVYFyg$w7hEX(tJK40J5-0F5atyX(98d+;6lSy4yNs6-Gehn1aA~3ngU}0u0aKc=otVrQV4*gedJJE1#Gl(-eb*4l8{o7V~mlMs;y0nf{3cB z1_Wp#N-nRHGP%Iue8^f^B&wXn7}!VeoW|&#t8Kj>fUvhuCxYp8 zx|cxgBd|gwtx5O;>l^@jA6?v2SVoQvU^FU4M(c)HV2(+WC{Vz`)y|ey7GYmIKUG=%{tI97x;MP( z;Kd7{``qVtcjpU5asGk3e{Jp4AN$x{zxUriPHO4oWmitezMQ(rq#o{6MWVm{>qeKK zyzN6DdNupSU-+5tdGgGe!$(i7-F@oND_{KZTmI$!wsy|mbI-k-Tc3L3%!Om8&))Wh zKl_mn{>A$GZ+`wAKX8M!2UmV#clYe=$4*XpS1@ z_&+?mxqkTStN!i(_k+EK{%#q;q#oe6e)GQ#C)KrSYo{u+g#nU^fI-o;t{8CRXMYZE zd{_6qPjo+3lvTa8y`}U;9L?$@E4%;szdU)gd-g_q{J^(vY@dGX>Oc7QkNW8;xWAANMmT()G+{PD(lwPBz|?M^p_ z@N1QQvq`>xIyo?#ovKRjqsfaTPrCUdhx$Kt{cQ1%Ms8l4E3f$2fBfzCmhux&e9iUW zGu?VCC|9;|JbirS_{Oh%e6g|%FMav4ZtHgcU!HyJ*>*NCe9?bv#AjU9`k5b2pYss> z;M@Ic)4cNtt6Sk+d0mdPe%GEFq(u_Go4@?o$KUngUrk$=!_w1rws*VTZnxX%bQ)~u zoZH^s-r3oajF*PbmUtQGTv?VP)H!tMP@d;mmi2l)Ywd*#7lfD>O?#eP= z*=#nMOzOJM^L#KE2;C!~N?^T&?Fg|wo6VYvT!BH7#oky>8yBqHAV#Cna5yZAqTOzb zxJX3*O@4f%%ipWH*;mzHifbDwxhU-OJfBXdlD#9W{BSrF_%466-EQwY#~d@a+wD%L zBWk4v=E@^w9FjLHU{~O>3{jWHfXYa4sW@JKr2+AcO<91xyxQha06Ia%zR0l>s=nQB z%OoI^jNtx8k=2-w8@67U_-3@5&1MZ-)Zl)3vjW*0eN^KaXfS=_C6F1W5t=t8Sxqpj zJlj_>K8Fz?F}e!1cTQlm)a#K=fmDIz83 zp$)^}n$M{z$YB#Gho;s08p^Y?=9jW!{`*|X=?);17v zeSKXNgds%nAh%kD)`la9f5Q79`%pqv*S3E0jOhH<*VpU1w$9GyrE?o{t&wbjrKKff z60Oa2IwK0Js~440qtR%6eZ46m7q-BAKOT>pXx>(h3)n!ZTLS5IjQo2>N z(k%57Pf-VsKuYbcy9kjXc<0&s+7jYky`N5v;uzy>HkHP7WQu!>v9BS3KbcLJk1pSJ z=L1iiIeWvizWznGeEq_G_r3CgPfve)g6hgoeDX85-0}^xxldF+oyXU?40Y5Qd_fAyn}Klc51-u2n}?oYUKbA8QdJ?Jl-yyA*(x7BL3-uJ$b z{?>2)ZdKp6wSDX9C!XjJ`qS}|x1D|bJr6v5*U=;Q-+a?_I(_iAzq$3EFK@1|j~yW%2Eg-KndS)<-6AW#!&Kk* z#My^7_?^d0H%6zcl#8{I=!8@7Oj+-~RY-{l-&kYw+1W zt-tdvuV3!>7v62ld8c!*XnodnZg01rSI_;OpTBK;I=teFD|TDG)+=A#-`c1S9A5g> zUq1CuFC2T#4gccq?|O2!m9*Q3mKK=PX|&Vf#@gmaB$_E@4LPNTlk)7HcON}^~M2ZTTWO-N{*ep;^fg2hx@Ku&z`(+;pPJe=$qd7mw)uzPyH#vcWn22EALYu z8dTM8C;h3YHC@qO0F``yIiGp^{Cd3g%V!>X`^xg|ip-9og^Svi)N}`LD9};&;9Me?4(#ZCd{RxlPaEyAK}v zfqwoI(YM_RAXhcMdi;L2SS`@`(GD*|4D2mO^O##`WsF8YCVQr5b zIkL30Bw*J$x3;#nzP`S_y}i1+DsU&p*lxE)cq4+$ot+&KC&*4fyt&Te^6K zWtY|}SqKOxB4M49lVhzNjYgeLM+zTzcX#EH@*ZW1khdVDl_++ExNR7289xN=3I1y& z>`lCk>kalZUNFhDcAXCsVg6fwC&1hacRAjY-R*=%WIZTw!xtC z_@*sEh$I$?R;KVwFLwu zip-HgBJ%;s7}IWd4z8>Oj>Z_?1I~(6VBn^&jkEzo2m#m=1;z*vf%bGYNT`j*G=an* zDvLe>C`?2AyY?RW)MAWUD@5@N5h>#R%|nbJ9kxh{8G-g(evuhDfXHENj2${XLwyG47t?QNLW#_%~)(0G%5!3kwGh94Lz7^y$-5o+Si{T&zWc*)-<~F`s351UaLkLP*ji&k|%t ztrOhyH8aGhj8Qrem(GU}6NN@a=c5N=qP;|RfXKl|Fi1AUSUHnW@F7(yNi$bh&NV)QuqSCFRsA?A#MSvKA zki?0r6h&?}r?{Ut?1i%N-Z|%h2??9*;TU6Wtz5^gwN+J-R%x1s;F&Onh>UrbW?72> znbGKkm8l&WKf-8bZZ{F|hMi`d=akrNHPk1m77f6ToaXpU-EtwHz4{^P+ys$A}LUh?g4`NECQyYK${p55!V zZfeb@lRVF#arMgrKdFYWAJ zd3F7YSN`O0U-;r*{nf4GUm0I@Wwo?$7R{=2@$Blu!_CbjOM{!AdEKBeD@#Y_1k+hL zo{Wc+akafYt9WbqASAS9eQSOCYa5d^)ew2QbVZ#fp{VKl001BWNkl!@kh3IethTPyU(eEFWz|Kshyp3MOpNn!y$)kvU4Q*IJwE$D zd+ECCpZ#O4D=y#MdegH`tjwM|b?YB}`q8zm>#w^GEBn%K{+8Pwdgym&)!_#|R(zAX z_rTr0s-L*N_Yqn=x^m>7{?>orfo$U2M_>EeU;Oo-8+_z>^w>K-Jh<)i{Z=O_CR4jP zI3SzXtN^zr58U(D{{@OrH~<#ae!zD~2xo_TU|el>Dj zID9DYv>*Ow|3Yc?$S42c{VPwt?b)~YNA>@F?9BG&aG`tr^&jXy>g+fhe1Xhw-FDr# z|K+KF{=lCW&#Zs!N5Xf1=T$c>UO6w0-MYJ5{LeM`-QokE9DR!`b-%ydza89jVtfW1 z|F0MBI)5(s-_(kFum7n2ij9T(x*xJ1I~n=kYuhUvrE&Cho$8_)7>!0>{Nfjx`KhO# zD$8N3-5}pD!QGJ=185Ce zMMCRbS=Wh4bdoBQFrZRpWOmMJr70n!HIa(J`RLjE;B5%rajXJ!k&-dB_s%;a6%Pxh;N*NZBkeC7^$qEDkBS+ZJ*d-w6oLCLj z{)&kRmC}3aX#fO_5jBuf8VN*IPlQS#?gK?35gNbHr3G`1#PMmv_jOfoY-|XNBf-NV zgifd9E~(yV6-Aa6^Z9%}n`K$n>vo63VOf?%Q82Tu>%ELHt;gfBHYU$nd%f0Vvb0z^ zkcJQ@<7ruztyW8`M0SEA7MG3T^769yw`8#^J1nIXfU%*rb!ik8d7dc^F(!tXoJR-< zBA^0925`*5$6BOB08A8#P)n?1M5H9o(<0~KIe0`$(v+hgPbRLeiag0@2_Zy?Aq1mS zV+`+a`m7Ds+JHy^5ux&aKCe7SAXJzlVMMSlFkzbK)A`(UY^6!N-|H_fwG7$y_1U~s zCS``f;__%X+}Ryf&Ijw5vD-5X3(LKt+TJJ^`u%EFsWcl7ho0haHV5l4HA!O9G|^18 z_ekav3zQb>C`Qi=h-gegiV#$c9D=hp5|MRoUe4nz_7(=t*FIQQ|4uNfv{HyTpVs@v zG8IE`!G*7GQThM>PrKFr*hi1_`j_2s!?8n$4$2*FaO}k9W6rr&?dFd?@+dRkamN?> zgMm`&sdJ~Fcrv;A$}69H<4wk_zv7iY`Tiey)A855=1)HJsaCrLJ;(5=#(fRp<58v;Z&rK%nZugcKy~vnbwzpqelbR=K zrVhRI6~8_ky=gT658GQ?=U318;q+v$bFgbt=Q@dsgYHN}i$Vc@%w;4`I#kN|h~CF~ z?wRYvn4X?`)pp1phly^DcIwAp{KOMSU&!N^9-wzFtE+B?bjx)rQO|o{`QN*D|`73FMP35iqh=oKl0;`o?pG@Sb&hH(5`@eh1Ti^bYH-Gz|f9CUd_C9gu zIR?|JRlefqgC{@MTb$%V!K!eCHU^X;wGi)(9TRRj7oOY^KSDTQ1u^z&z2 zd3F9stjgLL`mSdjpB-8HskQY#c-AxTTv~Y37eBW>+`Ze6f9LL{p?%eLSAIZIFzLLi z&i%^y;yZgw|E$(`TK*igKDTn>_V&pD{N%fL7ApSK)^K`zx%kb>eQWEZuCni$RS(sZ zPb8@8x*jRMW3c;@!*5jJJ6`$n-S2(pk!|%K zpRQBAfglSD3jiSD2ZB}`lq^;#Y2=YB@Z#d4AR)PXS!=Jo_S)%mdie0+@pvr4deIh3 zV9sbX0)TeAy|S{BB#8)JM8G2!Re^fj+uPy+6-xEYnKKfk)5ydH=E^;&NpNp0{;;36 z-jHMso!s!m%>x?jYpw0|dcwFjc|Ib$m(pAzt%Zn{-xB^?)I^iXL|&WZ`oq4tNM59f zk$SzJ{7O|--ENnN#^Z5WmU4TY&1SM(m2HMdq;_|AcXxM}mzQN45gaTpUT}lFuLd#5 z%pkFzmnP@P;o94HYc06Ek@r+pH5!d1w6XD+ind4Y!cE*+p6AlYyS~0|_7y43M(#gZt8`qKE$uadhKADEcdBjA)9msw)vgG4OD>qm)U~6cL@Z-UkL2kudMOc;$R_-tMi?i3B4_?5qrU z%)HliHHHv85hO~dMjHYJh)fDGa+FU904&53nSnj9i|8Un2I(Xsj)V~bh!jBxOx7b3 zYDGqCr8Nhu7=3UdL~CtXmRV|y*34*3k{A;sBOn6QwXJK*N-0HB>si)y?L7mK(h@2d zq<~i36wGOw_WJ$)!XRlE)>dUzW-;VhX04r96(f<-k!$O{axO_ylO$Qn6r*!&j0Qqi zSMzeFj8c(7Qw$*lPXNT|oD;!_%(q&TL~<#G)9KVXXA+|nIU6JhHAzzW7BeF-h7f%W zQ3O~VnK>ySF$Mvg_0Bn4TVP<`vzKV45m2in#sD#Dl`3UK3j_#6grGUb$Py*Oh{QfX zh(u(x*3zOaO`;8xFYAE#wCeA*(Xy+}vTR{tK`y~foR*~dN-c;e`R4QK{&hJ!ckb-* zml)iG+!f%ad$i8-?QD6=Yu^*eE!KjSv@(tV9nUJh-#FS&M&*GcLLl@U5s?uCUUp`?Ys*G8y_rZ!|kC`+Pm29^t*=+ zEC5e~t-OsPdgq<9N#4~;DZSS_=v=)Yg2qi|+1?!psYz4Lb&_VLs>-6s@;oiel7W5j zXP-KoWm%pT2pE~ItrTjllNcj=NRuqjlf+~kz?PnY#Rg48M4E$STmeUB76)x=C{;=m zHLG)0Xc6}!)i}o5+6fN7cJO_Sp{}~4VYKz;bT+fKz5L3_bD#IufA-lES3l#*gZ+a^ zk`70sjm_c(FTC}E2dd4@>sJmed*?1*ym0sLLA3SjA;CtVP4?euMzW%1^nQxe1t+Dr+;xF#Ze(AkLop!V{ zUHVU2c<%51{!OZN;Lys|JCjiv*JiVNn`rT15fKNS#UK3O4?g>v54=6$*KEE;kGj*8 zb>73QeQ$U1j@J0KU%2CzF)zL7#b3GW-h1yob@N-^ym|0UxzX-U%d=ZMzqma*cgGz? zo&$4#(C>DRthUT(JRT0mI>An-)o!(w0q?5FaQ58k%1-80$t6$njM^z=dIS8|ojZHW z+SOYE_i-u2F>I;*|Qe)pGm+Ib9bEN9~dLm#x8M|}P~n^0VZo!M1ve!=t(u4W${ zZLO5<@b~54rZ{oNm!Iz3 ze4+ftGm{%&yt2-h-)Vt=0$NYcsqVes-Q69HMnX;tHQVp^n-oPs|AJ7b(`l2uE;wGu z&L&!CGMP-L(DB_fl3F*G+3{sKv7vssg6*)+B`0XR+M zj-*%$l9TmFyWMWJT0}G)4jcXY(W6JtoH^4paLG_H7z|pi*3Qn3KtQ4J8&7Q$Ki@cX zmgYy2Mle!ocy+H2koQHg5~No$j)snQyl zLyUx&W?2ZKnwKh4YBY%@wzfuVr3?{*54NtIwRH?y8-2GAfVNNWv% z4AATMR=2dDdyQzcLWm)Fjg)Am0sVd+5g-NtfFRLymcgN7L_(zq6*99Yju3+a0+RwN z1|p>slW7f}L!RX^QPEk#C{Zp9tW5%l-iOGbP>~@7)Jm%~WvyL|wRP49r4p?u?rjEu zV`OB{j7sHc+Uj;Yy>3>tb&}>;;sIR<;6e!8YIkQiolIxe$KYKE(U`Q=R#~RNx~OS5 z9*4-Rb>8aKh*j-k)B%_f6%ryOS&jrT?n&XLyEBB)e8tPMw6^vh6zL`ypviPH2CY*fj;QQHZw$MM==?=6*D2bZ-{S`B*b?2*Uvjf>~5xbpJW4Oj0Dhlfu5k52z} z^Vz}4WLj1AXzT%wAU*lYSN-w*_rKG*Fqw?%a*1Q)$kXX)duKOEQlpa?e4>k6|MGur zZ*LzueE71#b3&H)~$2a08cgk|ahQDLO5*c_@>~`8cV9Z!Ni#uPt7DdDfZ_F8tm{etWX<&6}V2 z==`636kAn|}7^ii;N?=eY5XcOHJ( z%kTJ$KYb|u{7tXlXt{h8|9!-*R`31a{f_qx4jeLzC%Xp^Pa|#B-lo}{%vaWSD}6Cf zlGr+;-mWY`@pN|4?$9$^JS^5<-gi=r8}u;xD#Z zS*x8QqQl5+iRyp&@N2Wlbri$>`RPAMKg-+obMVe@IgAAmLi=C$durjxJ1%bhj&I*n zwAPDG0R5=tIx>#@&83<9gldL!zpSo-1zSZ_s&(L|E)n&E#;KeuEC*j3UPsNq+wSt?)Vk@bUjipkUQbMfj8dC^LC8%PIiqItaY(5Vh z5XqP{#Gtg&N?YfXG(%75NgIudrVzYy=&dCVh?2ev%n*S!ArV1@NTOfLO`b=kW_3NA&r9#5%Tf_3 zq=>*V5~Ap2vZCnr`<-6Tq)7;IGMizdO;!+MRhC=ZJBlbZi5MMyV8-A=WT3@`K{<}W zx;)EV#F_V`6eC;D5j-j)r4SIALkw!asLmKIdqVF$KvNFO``=dlyKkmS=$u20S(YU_Wd`SbRaJSOVUjq&P?aG>(kjg}J3|(H%rP)1txcZw z78bLj08*88J_Z6Pt&cH!=Zr}Qi_0;Ilft?RN#I4P(6Gx6j&t9;5-rjX~ zXL~ruz>35V6$y2g)VB8C3Ck6u-&dx_eFjSmou9K&cd8(pa2K-N2Q zb$#M+H8?Z8*MGWhm!Bu1?0xN}^5@+>-_U7wlPqICRhAcbc1CWFs7(y9tg1tIKhV1N z88eFgC(fvijjL|B{`2V_yVQNd@Ldyin9@JF_nx;t_XW>>{M-dFW@Be}Yci!)wsiO~ zbh}wuE-x&e`O0HYJ@uvKRR7SA9RBCudaG{TGMpzn~@X<`1l@%YN}uA6cF&vy@A94AV>M#Fz_ zj$Y z&rSAcX=2Qi&i+;3fA9mt#3bsS^x^#A&!1j8H|;!b?U&|0D>(+8#m>F)X*>S~8Wu$% z$?o&{Tx&g_&pVxtd^a1;do&t}W?gQgd7f8QB`SFd$*HPJmH1+5Ht}`1Xc(dJwlAY0WlzXBxK@9 z5CcZfDhBi(5tzNgsFH*L#Q3Sz9&c@ugd+zp5!j>@Mek)%qqT9sZ0o>`L?%t6C1zxR zy|_IjrBrv&FWT)i&q-B~K_vbX0Et*ye)70oxdZ{F6Bm`gEy0UeW zCO(9!tQa86Gp$XQr7^_d0wN~HDAK^7lwts-G*PhD#b`mJQCcU)1s`K@Hh7HMXst8@ z?d8-ut-?w@G{p4c;jAwHyE3wIUIvtfH)3V$i zj>J2nl-k)2kq@vXhA#iP5MT;3Y#`$cnlwxgCr9xQ) zfSZ?VTiZ&h11krZ7-GzImZ)ShoFHL2uWD;+>yj*2fXuwqKd`&LJLnEvRdLYHf!2zM z0TC4`0*p);l9bBe11L-qcI>SKc1jYW6hw`I$pJxtw5sYDGOc59I`~u}22@C>5?5P5 zwjs8SDpF%oQ~OZXbqJn=&lDIH$ziSzSuNNM zfCzyVQfgX8n;1A#3Q?0$NSZlDWJc_?+e)d~Y^t=b>pIaXA}FPs3K&8(1`!xBAWLmt zOqBM%O4Bq+NUR#{Yxr6!uvJ>`jHfm1yh77aAMRZ_po+q+Z(g&u@mmXnG|MjT96f#d z)NDL9iUtdV!1Kv;(|OnFEw54&CLICoimpl|zT}&as4a zG2=-VIxWwmXnudr-`7g@A7x1=RYxhj3Sz&L=-dz&E$U}gVs~cfXNFRRyKL;duv>#{ zNDFF~VO1^7rV9oUeR^=*&pr(=8!U}}qk3*Oo2ZS`HF@1_J=#%4Rva8nN4v9m9m)ji z0^y4G(XKYTciw*YZdkbb#&F9k5}d})o%3pb*PYv2^*0^AV)>CXk0mkR+}vE--dQ<* z)TYjtAu9$t?X~iy*-orDzwM#tzq$8EJM;7H#T#~p7s~6N%BnT<=NB~IyHuaNY4d^4 zyx0%nzOjtw>-jG$u%teJ?lOb zzO=NozP>IQIE`#Trk9HsFAfHSqA0{(Tve4w`~?$>W=USEQ0cN8k)KN=cbbFKi0^Tq z`;_035v9pUm1k~5vm(}S3TWj(36yW5Fy;J_^qA(!n^;W2$1(!RdO==BGZn~3|FoR* z@-AfWEHhXG`h}#m&Lv5rLJ<0?2{n>;-5lrI)$)E_bj~_sjEj~TJclGP1jGtPvylQy zn2MsX&d$qux7(@fs-3jGwWJjhM(@hmbZcYd@Ug??yxd%017H^{VaP#grJS`KoI*xs zU^axgN+D8+%4pII2mySB!E!>2Ds0cJtnihl+IBJt9lPMzd zK~lo4uYz|ReX2=oVA8=Vr&Eg>C@ryK!pJepvv#Lr(gdW^Crcw>Syzl`l0<7mpb4;? z%?PR8>qUm?c;Z|Lj3EL9j)182#q;OdSyJQ$Q4(nmfybrOX>bHAc^(i6gVxH1U|lVe z1gRC?pXB#01As)p*42B9BZd%xfsLUUBM}>-5Xgs6+xci*n>-{YQJOen2p$*|DeprJ ztd#C{vsTfL%y#a95u`5*6)=bBSy2RxF(4_UbU^Q&56+j)6YcfZ0YdP5#t#ORSIR)~ z>DAv8sdlH+c;}h9wl*(XCP^DA1pyMBgb=hgdy=yKizboEG9y)dbzPV9iUFK=^35hB zAA=@LlBB9C=Y4O`?{>R+vNznj;Jx!QYljfK-Chw|*4o9TrQO|K092sn^I9VYA1Fzc z)`=!|wyx{wgHfnS#o!1L7`%@}rd1e%80?I|Lj(uxB3dQ@Oikh=OV*52UV{RpBuzAe zSEP(?wcD)(4H6=04dj*e6@oX~Bnq@qh6tF0XYZpw7vcX_LM5F11nUgH_&Kjk3 zo-3nC8|#4>6{|D0U0YE_n z_L1R#Gxw(9a$V(>@Vmz|)m(QTq^qmhk}ca~}HH6hQ_fjphB zeqEL7-a2*8slC^`-u12}wajvbw8;`ujxcd?bl8GcD%V;8GS->U6L9=JAbc**@Skrl z`Okh~XXUocFCm1qRG`5cq_mb&5rn~L4cdTobuk9eI=2>UEsc@ZXoRs++Gs^7e5&rD@$gb@zHQW$nx?bC~k z4=7cy*T)uCt+BOo*;tEs*sL^gP$ra2Pfu~qk~FhmE}Y$BtX)`GD3!{TV3}ta;V24& zz>niWzu&_Idz`o0Enujh^rXy6rHW4|GT>XU5j7GivVIm-(_K*y{X6c200qU*_3$0y1rKx&UF9+kI45lO`LqQUv0Zx}`+)c1e zEm;UkYka2UlLeLYm8DI!YBr(uZ)ON{^|^dv=5IT#*8=`}Y)?v7of;0t10U6fNiT2D zi_YSi$mWeQnen=j<@==gs(9$6IQ%Q((w$4};e{va&D~3#Uy?XWm(PSD^^k6c3^FEK z3#)5OL2azhn@5i?de)y9-_p$o)oJqWLsxHp=zH+odIH(*)lI0ysX7vb!T9XZW8?6t z3Gre*x71s%{&zZ1DQ^B^sBP^>HZZR_ym$~8YzA8ud3r~ zxqRd4c+D#x@_Y@rV`Pq1MfP47pQPMB`6nrfC=Y{sF(Cx|KZwj@damCOYuVp=#P=|Q z{-1va8KX_pgh4L|RMzj6!jkX%gF(#douQe;tI@;H{Kwqt2%#iN3ZUsI>Nt+u?Y5hn zWQ;je9f#@NhU$=+=Xs8~mr~YhHOKNg{OV9t9LG@Pey#kh}CG{K8kI<)PkhYLvR^!G)= zu2ZW!mm9{IJLbZ^-BmaRYA?*`t+lmUZFqRt`RX|1{K7H99iG#>J6ww~9v&Wcz|k@H zX`0q*HDioxRx71OMn)XgbnVR|MAo%CTm|CJ#`&W5qEq2Mjyn(MWDHPPcDk*(F#2?k zMg_a?DwFf)bX@`CTIlX1bh}-LjEnhQhZfv3t{5w1?(VZYkyQci9klp=?2oC{+1sNi z|B4dDDbw7Ac2=rFN^5PJB;51P4jemJe>Sz?tQWhr7HcJiL>RQu#u$ohe~>99oz1sZ zy6gp16RC5l@+>E58Z$<$wMb*Y2xBsL`qa?SkY6qbY0~bjV1OiveO|Iwfdym@0Ru)` ztti2aFb^nTN(i&LOml%jS4x4^LMb7ow#dztQVAfGkN^POXH;3kEGC!*oLZ}tk_frv zP0ASpOsxT6SgDn@m{Dv9 z1wt@m-19gkQc_pXTS|dggDggrGDak|#wevQP#{{nLK0bntksqWUZd7%G#butJ_rM$ zRF>y%7OmZ0^MWv_)YE>PN#!#i5K2W(7-O7QqG09BoH14d%xs)W({$s84HT1Vxr&2e z<>(2}CI~r395HG+4JlaZ#Y#&lvs@yAjMYM9N-Ii{RKi$A2%!vPLckbn&eHb9{m0G; zVT-1Ak`A16E=3e5X3V1$i%cK{+E}R-049tA=t0(YQZ^}N7=}(O1=au()>w;-F$Opy zm^ulXwbo!Ov9c62aU_sM925Ez2{9jg?6H$4Pa=dayX>-c>((tUE*?C1u+?fg`{A8C zcaD#b1Hhp}hmIXPmSx%O?ChpZn_T(&ui$$&K0Z9XVbf`&`n`e5(!pS03I2!Omrc*j zNuf5(&QL<9*G;Esy1cY3F$|55AdD5Zi%Sbr)6+rVN2PMV->0GHmrA`}EM%|Q93oNJ zT3$Xfe=N(gFban@jOQVmerWyh#7L6_4IWypmsVE^hS}K-$4;N{qj0ISy!-M?j~_b` z3^yC)2fE2aS=SIfQuRq!td;xfCVb_o$&YN=v%L(G1{lZLS3M$Xm0$8o7biIB+ell? z$`#71VTi@?POoj#j1pY-eV_SjGEY|)jLvG6((}_-Kcwh}-+N?Y!)Uqt)z-?XaC#Jv zjZhEcz*hu&rBY+G+3%H5YBO=;AZzuN?q4n9O(Yo=``5mM?i*fM{<%vpf6nx1?a{rD zY}&eI_s-oX=jS$T-k_A)|Lik_v$3r^mtu45nf;z36GLM-@N|a%_XAg5uz2`P^Jr~m z)7A22r-r`szzy^LV^bB4Izz)qS|VhbdfNAIKvo;^1C>Twr++%wIQMMlAn$$j#L-OT zh~w4X!r~`hIsCcfy@xl(mxW%RHdZQ?T3|FarBC%Th(@LZf~L($^gPJK+akFO{#k z;=0crc#>49(RzD&>Ey0Sxmn~&z4*8y-|K|UJ*B{l2LmZ2*NkS&QoE1qW47BfgA<3; zo|C0|=x+`FWAHu3xKgROP!TtI@3O00fC-$7SSkz_oe;ptwm_@3w0YBh{;x7$@pxy;(aZL=6K zC{n202lst{X=%wFfVH;M=_sWpCMM?R=eKU%Iv5OwhK5#FRtlF-H_6~moukjrS`=98 zj_`b)y?g%rM`0-B*mSqs7M`2#2e;kpa}Rf2&QGCo;w$$`_qjD`kL;HA3aN5K3#O zT;QHpsgw=oT4^xWT0j64^DN5|05hv+j#KCt1R%=bcSm4H5V>CuU z33WxRQc`Pe0T8l*=h<^j1`B{eOZ#ugbfZ7A{q*Rgk9ND=i!Qooe0==bXP-TO{5a=) zXlQ8j=FPtEA3AjC^y$;X!^2y*ZY>PR{?A1p{g4vTEga|Dhq?X0ebpTe;HZm2u;_LR ztu?|}Qz~>$G&a^+Ym|}PXWFVD3aXx`l>q#p6LmIw?d7#nM~G{!`wYA+GYkcuA;ay95DU{$Rg7=@G+ zLL1NqVFJVouv#m5wg|wQ5^JsJdmd%T7?tOcWvQXOT%wfs;w%$6#>8Np=ZO%48px!w z7!%Gh@euNB^(LiW+)tI!)?%X(XvCQx1|h=O;~_9A3HE#+nDx2G7z?d62nK0<{OGe5 zAS{)bkgM&^c%`v@+m@x}MUVTPUcXW*wc@;=WtkP05G92oR*R%DI^FO0(kul7gkVZJ z#uO220D&fekTJ->*_Z-cw6nol3%L-KQbMUQ#u`H?jVLz88l}NlrE@S61I5HrN+=+t zu(3cnCdh(TF4clOH|^TB>t9Pp#{?T|q*MsmC<;rZ5Mk6=TSEXI_X0nx)~eQ+BuSDqOR}_D zt<)QJ0Lb#Z-ENo4!@MN`K7x`e{qq`3uuV1t?+&SA4on}xe zS8e#>_`QEDU-26yuVj#y4s@1;j7_#WnyP2pWH29hA?#VL1GMvsEra>xB=6ExQ;dwU zCc-^qRh)2wFJGN}`|@oku{?9>RTr5JD2q~o+N)hoNa*Pv9?nV>FRirJTGdJ;5%KEE z?;kyV%Nkl~zkeNk7KgV5-vzp`al`dDtXo~|uP*dtit`u=CF|v}>528ef23YVj3b%M z$H$jOCXSWjpm8!gJTjDOg*E-bD_`kn@pQB4Y4XgZz5mjUW8bcBdg`H9eEXrw>wXEY zdVc9E-Cx<6Syc_jlGiE03-_`pA)I*Tvah!!p0N?a;{*{!kviO8wL< zJAw86!9Y-}wY50{MhFH(th!QJy*fKnA3Wvvo)JP3vb0odJrVd4_6@73wIh;DTHHHhEbAm6(EH)dY?dwDMdV_s3Z_L85uL|-cT zJd4Vq{}1~r)vxgkw>m4y;9{j8mvTL$Lw8U0XsMs;5n~&kI>AKSk29wI!JeZ{!|gVII`1G z>8)1F8EekY&N@f@;s}fWKw-D;O7nc<4Y7&G{uh-LBkByBD27@BLR4J9`d9_;Y^?FYHgejbM{+Yr)SEv-*y1N`j z%B;h_?$S6!>-KSX7{!dQL+b9sy1~4nekhD|&IkJE+Z+{j&c8{2?=lmNF|MuTIsio! zv4b4WoWlvL{x$u5q1P%ZJ!j?V)LBwW&-XFLfDlHg(2}{sF7DeXiqbei(%4*CV}KHh z2x#k5?<`oN9suMbr-)KUwbn_NDy2DN#+o1urIeYF2tk(R0BB-jGMCa47KQ%U#Khc* z<9-;VS;~EbsmD3R0wbW!TD4ZG8iey41@+;eHe7C+p)|Eho<4O{W=SqGDYZt}B4!bj zNLfY+#tP%qXe^Poh6~{bJ|`G30c#1NoHEbzGi8#rXRO7TDk*X$ls2FtlhR^LI75UZ zI;Kp10;2xpuzjx3eZV1y~Aj9Egc zjEw^p#pcbM*RNlnrs-|B-8MBfmFM|QH{EpE zWtaU+l%th)(S2?$b4#1+Pr2@utK%J6QrIu*vyB>EWCc4;CC@Wzs8kXO5y(FEnU*}dp^H& zzWl-A>>Sv}p69;r_jSFm_X}YArhFQNWm@8Q4?;Q6WUvkXgVUd`8Tt-D`!GS@0Wu@_ zR)MuUWCd2;Qah!P1f?J?VdR#xsoe$}GQi9*_ydlLVhI&PXY6Qut_ zX)fD<;!;)A?k{00b1Fo~Zyb+x$VM_NJ>QA0 ztaNqIswgrjC;HjUtfI2c52e1!L4(<b)FUuUboA_H+K3`G*& zZpQn!6s0LYg))5ptyJg5B?Ft${@u7MY&2&KQt!zwp!BEz@Rv3p#M|s;~Mcj z(YO8U%4H8gmW*{>;6&}uR4VSVW!yOiIi~hJM3g|6yX0L-i9^W=>Z#Al--VT%-R|@O zo+jIag4kiFC6A*rm9sq`53|>f8yX+?KCS9~oS&+rzX$cd^?qMOxs41QbJ**}%k03r z-={dMTn?&{P&f#({BZqLq-kX%c(W%*Y%W{E(|7A%*VS9?PJtpx{-TH+rMGo`5D!V` ziWGmg-Il*O>wC_;4(1SzmvvQ zuevID$#ip^y~9mIonBDLr|^<`C)ur~rbC)!<~R&YMEK2GMUDddrs*)a7YScQYbydN7yC5mQ0SEtw`>s}qaorXKAq z-c#0UXTFTi4 zwW%ITi_gX+`t|j3{52H*ttMt-EOMJAVG?fJesvxuUhQMG{9Mlh2I6gUuBFcG_%CNa zdA5`DzZiFM$tMx2n)q{0SLj^aa~~l0c3-#E@11W@&K_Q4^S0Dah3#Af-9t>SxTpQW zQZsBPwe@D*E<^h6VihoaC5<`G*E-JCD6ylx50)Al8q(9#0ktpw`O0+VT7F#%7%heF zO?f@%aV=?vn}5j~#wI5Je(;N#Mb>=zBZ14oafMONC%+K*N_OP0QDjWA_Xk%`PodBG zpFZKI#_pJ`l4ufqo^wUx?#FLA=rJ%R#0-p9jE`J^n8d~L~r&=QJR>S&B!G-dVcTn(r38Auf4y&AHcK% zTV{zW;9CCu`*%l2he5(5%p2OB=G(k&6Tev~QVyae2nTy+cle0)bou|YTUm^)!m)8&wJV4sS~alv0|oi!J+ zRaU(hqP;D(wHw0#9VHM#4?32k28sgibe|nuKeqfzjSiOj*x{&*hw#s=^JnFVHoNd7W_xz_rb70nIRVsXP%~$bnN*|z* zXi5-vmVrd?YuO4RSqLBAH~vV-@2^}?6c!W6Y#~wk6X!^BZ5n(7YdxOs$>Ugk-m=+W z0bdcJQ_TOwHW4J4N73k{N?jU5D|}W2AK{=@D3mqHx;f3@3#1aHNk;sQwVPG4yVK25 z>R>{d+F-{u9D*Z{uTMlRo1yhSd2BA2g~||x&DyEJ zUPc$fk0&AhCryj?O7v#La*@Pp#JcHuNrqo)_~)oTmQLZp-<_4j6zjqmqKH9bP);^v zjpiTK2u>{p_k9YO+?zGhLHydAtf4*wfy!J&>vP0{+W^-vX`7VEzkG`3t+&o@G8k`6 zz`EOIz=0n|>U`m3LR;O~WAydC+oCrY;hVntcYR#%%Ea{JxRu%Aju2d>3}s{$=ZSxA z1Ap67Z70+#n^QZ2kg*IB>?!4VCR~GzHJ^PSTF;Orge7COS!i2zuP?2)mkn+K^CvxB zpc2DxKA|NkEfkM*9ovBcsxBjVBvOcZ#IcV^AtSmaoR`yQ(pRVWA}wO_2l~57c_b%o z*KIrfC--!RIIYb=jqWx^J5`IQ2M8`^2GMRgq{%Qk(W*? zP!-^^4cAw){yUf04Zxt!#%C+GZ+ovT7J<^kMnq z$;rtksj$wF2h2AiIdrEiJ?N#ox&J}Cz=2Gdm_$N1 zcs8%yEDD~@Vs=~XSMDJF`(`fXh{v>Q=sL=~bi5~(=O*^~89^NNn*z-B-1N{RlU|49 za^d?xi7$b-J4~jx-OZS6|1CIC^WOLAfZgW%i{9$YT3qTnvvMje^zR+-8;`zg{@DE=uW-~%3n$hM?uzC7ZM;z_>(7&h4~qw@zTEG| z2Kn8NsgE#E=lXVb{6RnW)tg-Nu8Y3)$}DRdtUC!?i-8A`9bI^EoPJ2z~#3p}c(^M5!$apQk`B3c=AIwa8&^jFSd$WzbsS^|ZsvbGB$ToPZr z@O$m(yXgF}U7~R}S2$q1_-GvFNcpeT^z)f>Mu55H%ZrWvSl3M+PEN_IzXh0^4H473 z<5VCqjVEAB1rZlbEu!}Jt${-~W1iM{Y(2 zBVuC5^Ld?n{z-o2?sv}s3{SH1@DDc+kBO5e-IDd)K)n71k$h&#R_^SYzx^1v7m6 zmNe_mD4-g7A~T9-2ZzD~Az56$NO|0Ife^&2V8|(m=|L~sOZ>4Zf~|1bQvMVH@=L7X zWMCn$(V)`cw#=~9)WJibwZNnbQVi~RY~YT-g!&HsNFyftDGNd~uHauu$6A(6Y$7un zpDBmNLxk}@%5@d%m8*m$%Z+7Zv4vJlDp;ov^XChWzR<)@(BaowSvV1sqet%k;$zL? z%TczfSwZN%7=_hwxHF*9xDKIw1<{p9SBG(4;0OWlLWU@?6__as1h+sYxs`3f#orB*Pt)+5%FLmERWl|3 zqZ->U6#c+K&UP<34Lx`&mi?5qDwvNo()MK(pRR-xZOEv>4-kk6fqx{0@reyZn{nwQ zK<0=b#(*c?A8c*^`q#Sy*R=G_VW$Yj|KxPq^nNW-eSfJr(_LCz-1qPAJk9|E|DZo@ zArc2o?ty_O?8YwCP7U6U8hXb+<2k)Q)<9lwR}ECUVIEDVdpamXF31uGgC~QzQcQJ)PN1DR2bx9+-BhULczFWeV0=C^#NcD7 zzb-$ZU=_80*Fq~_^wNqvS})y!!qayR;Cu=o-OmebsB{k|$kgQlV?}R0mT*T=zkBxw znw}}DetojnYUM~YR)wy?aQy=)p{&HJIhPo3tluv_ml27#cTy*)CqPT@e9;?-KX^86 z;30QhR>bol-$L)WJCc|+@EW-BEj-g9-XL6bug2aSvk zSIOSj8`pu**8qDu$}g(&vf&W{6s@bO7C(2}XfpgQ}xM|g&LJZrQ{P+sWta!iY-|M-+sT_cIj zIZbxsCJWCUETegAX7p;Xm%{t~b$_4j^oj)%O%pTmwx)jHCNTWA+^@%mXHK$uI7fUR zWAby&NAGBJZ>cq07ky?UQqGw@=viLndE)+tI_P>PCn@{;`Y2N4FSpn>7b+)b{%|7E zdH!Cf8PR$bz4Xs?>2g53?nA4S4W0xe6FJfC?kH*0M5~~5v!~#244to=m*raMv&K-E z!DyQ#sqlUNaX4k9PY5Np?-2KcD2XnvHNt7BxY!kVQ{MuvcwTjQ>X(mdj+ z2jue_;*^EWJ?B7RHG4rdSdE2Jqj@I%vm<5*La)tveQ~@RYB8HpsumuPnKP|l*dUU_D z^58_Gkf$4p${4;LXrs8t_j6BuZ?AUBTaWuW7G+v*_ne(EEw?D=fSn%cvr1qu7#tiVBNvqE z!ZZ@AKWy;FoCjctYo4e!M$LB!bYXd?(in90mIc=GoznkwdXa@@Vo+o?LXUKXSSpa~#UL|#aIE6U~XEvLRh^dj&W{;1LJL%5Yr4xi`9FaeHBwo&- z_qHL-mH!slNjEvy6kxz$ZN~RSr*kVFKZ6u24h{~b1YEg4-5{g$&g`Iwc za%J+DsVe+eF6EEO&CZs(*K4`IJ-BWOI{HOn>VNc0UFP;5@DmMgJMd1MO=MhGx;|2v z=rZj6!)Uf4HZ2#w;JW{1fjJIHM5G614U_texkS%RthC?6r?ia`c4Z_-M^=4@D>!n z=@H$LA*Z4*p}cZX22|4epjHa(C0hy=Wq9*%8yX*60gHBhhss}r`lW4VPEz}R3opra za<({kP^GjI9u>KTP^KS3$pn6?4&!@7{;ddJFFcGSxPz_#+pZFdSihgMTQZU=F>zv5 z(E%?KVx;(%Ggx>I#5;`75FAhOfF7-QA~}H24UVTnFcrYxNSXfg6(j(BL2sx%S+0FD zba#>`hkt0i_$T?keRUAK7T3^1$|9N`VeV8kHR0n+@)eKwpP9$=b3qpD-q|YQf-q^f*wEIbpYGbJ$dexDq+Cp3XaqAz2&}KVDA86!icL*UpQJH+w786nY56oV$u$8a3xqk$2VW~o z6k68BG%B&j6f3$zU>pO`PBSUhf%PiV5lT2cF5Mtdjs2YgWbT1e&G#gE?wYZClRtL}D%_XjGPl|zCmS0Z`#*Qeh=MLU z=`PwH-tkDfU+kFPUro21p{M3d>yIX7L|rZ}iqZ6hJ>5Mw^z;Z^xq4Tx)nq-Xdv)pK z_>!`p+sg+Bd|)ukLn7L>obqV3F)~U+ly0u?@mBh&0JZS@`jz7WI=`ETp5#jC+KT$I zgY{&4mcyo@PHh2dYjFq1P$e7Gs^9YV*s*|(S|S@g+4-u8PfdgQPVLdBPXT_pGeF7e z*0lA0-@Em?ZDC={Cgx^j!0T-OS^45^!=|Z_<*T&95lY&-tDA*fnQBwcy6ff-ytX43 z-wddnqGQ#iHuIF%FA}pwHWQtFHvA4A>!YM=UZPXP5Z?t8WnYz4Ne7&FKa>%>-SU(u zoGO3caPcBm>VxOl?Z6Aa>$OhjAe+Dg<7&Ti?iLH2n48@e8=@>2Hhq#F2>^|2X$6wW zZ%-c`H0ia^FZoymIfMt0M5IdIF)O5)hUHuoTw_wcHtt`wEhVpum^3-uWt0Gd*m7Os zzUG|b$%~)DN7qds3%-d});H}=4@ht~?KZFmjHDD#Ei>&jjm0>6&mXp+Rg?Rf;H|uO zGNxA(#~mm4+bZV)e?;!h>>0|ght6xJ#q;0BjFe|>aVUCm4r845sD>%5PO_1}A2xrENZ#EaYse`1JH*YH~Jy0FM<@?4yFBhmaU0&}{v zT-n&k({eG}S?5KyxVx8kJ0+986Aq^Pd2vcz_&soS)SGJ~=y)(iy%qh2^+jS(XYjW~kVWmg;LY*_l*n3e(M&_X9^z~unJOxei>Yo_*Ojr7aYe&CL8D4V+4$;!&FpZM(0}{X7pdi{`+UgS{r&s* zfUm}9QzC7h-WeKx>bvMD0&H)U9x)Q$1DX)rN&8cOiD%DMM@}STR;ve-AW8{YrVNC5 zVP1{K+^JF{9P)-GlRw7$DV_j?(&c6I!sw#_48HS%M|pJ@dnjB_PjB%N&4PC!Tg>XG zPoHLI4Jddfo$5Y93JMCG!n~sIw2G6M`}+Go`@Pwu)BqUrNHCti820)R)d}_SJKGOPz1%rk=o~ddy2S_pfL>na`g82B5 z9&L6M7VRUEs<58fx#LhF3q0t~p_muo2;Wt|a83G!Xt^l)A|MZVnQ zimtRx8+kAbA^%Gzrk9;e19qQzDZ7-YIZs)F(--Tph-Gkh>*8&=T{ z<*Wh$CkhRD@DxZ5p~^L`VCWDfq;{;vCqBPXF%{}69L1POd(O+yEj}xxkfgy&PHhR2 zHGBj%M?7Yo!G`kof~=EBILD-a4fbh)SyLcU6++!vEbHwg4qR1uSg&I$-hjYNZNXR! zEB=|^@a#T)d2x5%dCo0pX>V_DYg;tE19UmI+Cp$(J3x`7B~hmTKJ#74WWMt{E#URw ztF5YX^Rj>O79!trz!U|wk_RJ`wP0XPlr9RbGN3|xp08!+<1@J#h@NsO-YC0zBl;SA z8AVxu=;aDV60&`%Cju#RSgB^M_s{IxOYEQXGO5>TMz?<-fO#>89MT+cgA^eV{IC>c}t*|wi<+< zxwJCNJ~->^c*%e=7;~b6Oo+pN7|8N({VP#FCpV9Khs13Q1@6M;oV+vSp#Ctwf$0t2 zVvgPqFmmcA-^oQwVb1%y`BJ0IT+(v-jwYX0`CQBoYIH?yD^K z{-~;#r`9El-;<_xJbB3($X>I6V&adb$Pgh3$_`S0dz=~yqjWi1(7GP;*~ydiU`hFR z8PBUQ1}0p3{V8lwyb8TkR;8ETHLXA?fE%37ch*7CayW8-GlFGiX=&-{Ia#?o95wPl zBuCxy=acZ&I*1ZP!7k^Sj8E01ooU5w=raj#8X4CPqK<>p)yD19`ycBl*YmB@o$zhX zk&|l4FtzD&9Sip0Q9wwWIG7rhPb!3yUmweioaX4il`&lP{4Lk#+wT?2oytMX@Xv#z z=ar}5v51?Z2rB5fYT&;M#cI9nu5jevrkAnL?aB&}I(ynD<<|_4{Z8;h=Dt^;(EmEx zQ@bZ-IJd>)C{r)!-^j70g`N(JA5~IxaNo*>H`s^qS<{h9ZqV7o>R9KNKdIy`*U_XF zUUzlEWz+$~Q+XMfqQ|j;9%tHqg_|}9Ka2u;*224oY*-C(be$5n-)PNJHd;8BV*Kar z60_@X^_IrysHrn)QWSVvdX5jT3`p`c{xcfY~-`?CxL(DdSg0NOKIBSHt)w>f002!^l7I6=he(DX6dIn z6F?KKj)OMsm=(4`OXj*!m8hAr=cPz7b93j%WKHYMs zK04BBQE}NCLAS+eI_c};u}ai(PV-|rrOxqs=_B#zS30#M-9g!xhFD7i{?h93;?*oGT!*sG&Tdy3(&yDI1@je{gsoag@ z{7ZlAz1Vce9J7Qtso6CZPkJ&;BR;$1wd8~mYjD`?{@LX1O3bD<7iJu`HvFqWRL!TM z($4F8Z-mxoC+~9VXW#6WF*xtTZwUj#2Cn;y{`SedUK+o(zTD=U2g=39jb40e>y&>z z_@i8Zb-)Tet*wLxAdKkT!&+cSKjCarEor({#oauU9&p!mAOw&zsm2XLi#${L+~d}i^@fKkAVq3`h9MX+50^RKKjc2hylT@mBCozn#}HwZ3}&F z>f-{RmSxK^-O%MXnMRCTzgsqt^q3`IR(Wt%h=V6h_3(A@D>`}ZR+N4`}OXh zXuo2sHA|jK;**brXl;bX{o5@n>(R_v_sRLPpqZjJ@O5Ig{1bl$@lsZX8JbnU4XP*_Sonz4k z=EXzR#D_u%L!4_iviy+XD$ciB>_~EX_IFS6gRc=s!F*2u+=@^+pO{p0Z4)CpCUK(r zXCKsNfogzlHH&G*(`|g~%uOCrkVG$Ei6&zJ6^wkpV8j7M>ht0?>_fg!!5j(o!`jK4 zScTHg4#I;kT42xvx`rSs7|1oav1w2kL zn7GmmJ*I5uSF0Dy%gPxUC9KTuz$p)ALh$9KSs=)!!eR1}nlh9v(=eICHXNra`_Ayk z?(Xhd{a%faLE75dfH}eMdL9!vB6Us!_&tGo(S1Bq_*oY5dtwWU*P7L{9t%p1i>!!? zz_^Wcekwwc{2bMzHc?XfUP1iM3Rp?Q(;l98Nn<68(hRt41xZ+W9gGFhitg+P;qH?r zBl|?loC5|~Wjh3fiTOtgWI5{LBuwBfX;dXL?aHLt2x%7KJrP6t;<_1R_~R+`m*_)8 zjc~RJ&-0s5l%Zw=cM&G$VMA}|ZyQ2$Sp+W+o1a`d$>;Y!7wo0{ZgBMnp)bipVQ}mD zv-M;a){|tDxl+0T*M-d|`uI<2~xR;#IY^{(wzY8JX})jJ`x%%0UQ@5Eu!?t1$nw-XM!7 zKSCsl5sLiu5rzcrRuBY>8Lg>I&61U=BFsZOZIPWA`x%y~E|= zpYz+zTmW0{=%^;B9w_?BT#d#qxpY3(B+Hf#@C80-I2?Yzo%*@*F|}}%nv>@f+N3dh zLfYAC8>jujmzbcnMs)wN_VwoT=XkcIv=_sOl9hLqC;7a)XTB6h6#*6&7Wd=Vxl(Q) zTzz~zf89;~X3n0StN1=`yz||+UWX*|S3vDO*IhI6aSn{r`s%iY?S&+F(U8OkYQ z7a=r~fl78CF0QX>gNCAW4HP$PjgOya9{iI|et$9cPaH;MnX@~4qSG*8Qi_@kie9Y* zVdM(5gqXFk>@EW_Ut5PC?j@O6hflpbWT7tKHtxNf4`1dfqj{ZOpE-gt^4%KHwYMrC zdh=820coZJ`)P8eZA11{M6LhvIMbZWjr&H*>FhXTPV2e5P+KR^kJrw0!GCt$(dTXI zI<$y_+vJE|thLnLuR3FhuYKBsMuYF`6<0&;$> z;@Al)bo+wQyUwe*i?)ONy4fM(=LfkGAq_I24VqWg<`>mWh9(E)+&m_nL@gW9$PuZ; zqPrptJ`u0r434}VU^%bQ{jpiGYy`jDw|chKA8E{=F&f7B5u5%m=;lhh)ClR{E z+Y9a^i#C{M%(+kQ`MLkG9(j%d_tM$GX3(j@CN&-G24mT)kKs_m9Jx>Kp)>FO?OG;F z%WwW3+%7qn2Dx62#mdy5|4Aw{9(okPb2l+8!=1I%Dt&m;>JzYo%)S2Od~-*4GjXN9 zbiX3ir*4xgeVnexlN0dgPDJ`JPUQ9x-CF{dU{1W7T%|cHxt7ePqvOnj+k<_qJLl$q z$dUVqt-cr0bEq)PMfbI}&E4|Ulr#3N#-FO!|MLQ{AV=7X6PS6#^pw5M{KA&nPIgSz z%l+m^YdDZMQ4GFL6FZxOeIxn6|RJ={F^!25Zudl1qL+KW<^;f+Yq?)xD%{MM}lJa^J zg(Y!j{r=$tAZrv5*wO(%$G2ue19vBYUh>?`40NCkPSFSy8!wd-^izVWX9+{;KQkJ( z&nIil<3Qv~*XUly8_zG!%!s^ z`w;^P1ZN6%PjRUs);15Ovfx-e!V)R&CgsyW-H(0OlXfm6FnP3!z*X6T_`dEFhOA7PK> z7z|}yU9+32PxF@SHSofDTPJsS@y*n!8r?k%A+^ic-`fMs*6Zu*t#P^V;E);HqR;ukAa<;% z5U6>S@ndMaDkV6c8BC=LOm-qb+hB$<&Y|Ocp;>X4zq|!HFOVGQS1%vg;C7QKA4v|N zYgKX}Sm0nm1-l23?`bgGYz=D%=biq^9nzrZY{6!dlWUkw>9Hq&d8=gn$7 zN-NfX8B{@xV5&&M4k$e#eMg!+SO|nCD+6w7`>3$3WsBssj=bpp%Bk`|oxp@#o>89C z9pcU_zuff-Zf{@C+3$f!##Xp=0y8iou&_h0o^&EKaOhfhObu)v^U_!$4JX=Oedzs^v-R~g0SNS% z=h7h`lq!oAylm;n0d3nQeFe?;J$UD&nH3PlEWeScD2b16eb$mrQp)9spa50}Ohhv{4o}4A5 zZ31LF?VT5*07pe7$=ZJ9Vkd#hK2v~H&hO)z9o={TkiE;-o^csIXg)Uq=RL&%!mbal zV`c6xfZ8_0S{RTq`wPe(^gnEGh2+3dI%jnh^0o%JJ~`fv#`FJ`gc)AZ^pqXUKC$!P z-Nkww+V)vW_a<17zASVkvt=X;2p)*_I2bbWE#q4Ln zzv5RTDB;|jLka@JB-7r;{U5|Fz+S?_iJ{j~KO{q7Org8`VXO5@CS+MS{jR@GLMvu- zEXiJIDi34H;*pqa>vZwcts&#aK!j{oNm^gO74Dood}1QuElh}Ath_4Ga9xeOnc$5^J_BX=5ea;+qJES-KUuFd3~eoD7*9^KhT z&kZP1IXjiUdm&fX_y+Qg%#O>qS&ikGof!`c8zKj0#5ErAra|z6g3UP*2r$1qdi06= z&s+Ut5;y|HIX38?tuV=<@`O-VOD<|f)RiWcMAuUO#V;Y?pN`~ZfNe33h;62sDO0lG zKI9%bP5@qbj*U`=14;^0-D(GOV0rrLuv{Ax^sj&}U?bh81?U1E92_`1Il)4PEVh7^ z;fPcQ3sir5Hcvz+eX|3gEdM(h23-ByYK7Y`nLcvO0V zrsjv1@%K}+W`_bJQZn(@ceY)W)R%XU06Lk|7e}WYYXFrf=d$hmWbEbhgZput@>{yx zCES7w^)T&d((@tO`@~KgXCdgfaivx29#j1LLXPJ0hTA+Xnb3e&_it>=7CQvSwNK{& zQ}O%0)WTfLok=_Q>9roybEMR9{FGQ&*uNmFW$Sg~^GdB~*kp-`- zvaOeF^NSZ7qgy|luD_^DB?cY~I5+Rq7GM7Qg7H`8!YrkwXQUfNmVKyxdzOd9d4B&d z*5$B=NXqwEB9V*6yH9%d&4m~j`_r!Y&pwt4-@s{m zGB-CxJ|E1Fcty?+YQN|AKc^unN_=G3EGvTL{C0L*w0Qi%%%HwsUX{4*=(qJ?Pjuu{3$-$u-WaLi@Kd{b@*4O*j#0t9Wt<( zYjqG4XkR}cZ~?six0yC6rk@-NJUAL@OpWIkki#Vdr*zxzf(ove+rtHAi1FAdIPN#} z7ExTATn2l~)+Z_lrZZl_m+GzaKTPJM${lH!zn*;2BbSyNX*$W3J{(I2x~QkB2~A-X z2g?tn>`G+b)BEVb`K^ zGSBfU!86@(`nNu6q-u8#?cmij{e%*jSyjsxKOGbpnK_OT! zB_&BKmB(~xVPOFP6f7)&wi2F~$1GNKWs)qy#T6MLtED z0145dvIX&hs2HuxNz%+BzvBJ=Tra!xA*spjuA_f!%&{ky+UhXZ=Di$vvI*kT_iUB`h(M#v6|CINvkBdMyU+gV}gC6BGBvP&(z_I z%MkpLrQKu6RHWOph)0?(PZ)ICG?a-ESri%Wxnhbqg!I80_FMxbq@~EuKPF+#(sPSk zA7y8rR`Ej4@NW0ApE-f7mj-ulwjM6I`2^g~p)#)*7fYeU-|&SInqh)&kwfHdWK2jT znHJfM8Poe1T=_pjHghv|*5!I{&$d^B`8iykpXK$oNc}_v>3jMmy z73{jlYlLQDQoi*e@zddO*Q$pxonb)HmCh58b#sva( z;^pz;OF+zB#2+o=7+-#7e)f2UamXR(5k4PG4wo1k0=JD)$!3cR?ehw^jsO0--6sz$ zNTxY*`b^{nOOiYY$GArzQV|D~N5E(WvKYSU?+2=KFfybdo;>$AZkBE*7RI?W(ND<( zlDm5LlR4N0CM$Aj8^1!<*W1m4AGhI&#&A3;`<9iF)&_npXB$OqWfvs}rEuN$rBxRI z#V6%!MUQb>$wBBpT>Kr)q~HOv>~c5=R|LHR%E=gq`X~NsCb07)5Ik+@>T)sB-TtEO z{$^#_%<58j#5*ToBlD;zm-XmXb(wr{@CJSlLJsj2OM{Y-{uM4`Q4)cXsaXhL*+pLS zcZtABTT-GouT#|2hhLe0P0mWs(N?zd`OMC)B1DDEPr@ZedKg$5kf^W(V9uq=dj%X- zp&wv7%M}N4tXwmdVSqWVQYVX zi7D3TVpyPbRHEHe@ul5|Vs>3JO-v^usy`I>ZXInX2&R<@S_TFIxzf3wKN~q&5uKfx zQLO#|bZ+eO`3_bMO_CzkB91RyY;1I8b5%>_-iX$Np1%5n%oIQ@ zhL>c$&AYF@93YPbY1BJ z)5&;tMCM67-A_!~hkCs%pWVC>W8d{9ODV5kdOY8=<5vYcx6`A)I6W0Cd77~`YDN}b zV}LKbs66gjE<_^8;A$1K*U;|f>F8N5$yIPVTUc`UT661Y?QV%QJDF5Or&rO+^Rkw+ zFGrDk@ODwV@#(_O;|W{AzeFpfDo3g{B0lZSr|EsLFU^hn?WEq*B~Tq&!@#4&UYnF`!rd-%wnMUb*ytj_XxKo%qj1dvq8Y_+tB9`Wjb$X3K*!cx>rOH$fT7 z*HO+iW!+Y=O4g&X%F1y8o;*!31BWY-y{_G;Ew?LK1F)f>HUN;aM@ki~kh7VyIh&uw zH?`%VP@oA7pTZU#{)kS*;)t7Pob-CO`s$q@&p=fv=D={OaB^{vs0a=4698%{u=P*1 zTk!Eu-NitvjMPfL7%rP-eMSRBkCMr5nS!?sR5*fr^_?)IT|UZl!qtyDh&Yz_uoA6| z?`1pxIpEGNX2Q(8pK|V4I5{~1*Sd{O;rN#Rm@P^d5Ye^9mDH}a)l_u3e0Dwk>0adK zDs&u!PhZC~e|qNT!eKQmZ$;qa@S(W`hkHLL_?Fo({mF9hc8{oYNp z8a%ul`Fatw1vfWet_FlBqd{k!;YEW8le z?9Gp>8edg&Y@#&b5cljKq$oA@Q-vc`^r_wF0(-6z{^C5W-{i5lq>+$dJf>HC2n`1o zKHM3GEdF4=V3(O4Q^QsZcnzCAX|21Ts|3yI26kYk=jHS%2-s>kp_+W z8Uh0000|S&BIR_Xfk|)aA1w~#1A4GBryJj{P4^!ytk1Xw5Jpw-IMg9>g);(nnIpm{ zCA7V_zeHopzS#D%&BcUKhh8zBFQ1IYo`798Qq)OW@r2XiVW2*$%O{709igGpN0VxS zU1OeP5hc}A*+csBuWySwR5+MElp#SuXsr4X7b53aGsPnJ1W^H~ zI&3&0md@3ENI-yhPS}{d11ee`q9u`bFb@K)(Kn4O3IplfWTm%zpV?%-zx}hS6riSmlW^4sJpoV^!-FBQ3&0prK0A`~P zW|J$XR$!u@j7x?S{1l-<&|w6|%6~EjA*sb|HD8R){w7M%BO-kG64~Cddt=6%mS*dq z$ylICw&&ZXf5XfDZmC-?3r$^WIuM95J(u`Rv4XNNKHe@*V@HoZmW~hR zK6buVr@vB77|UC>MTfJ!my~EyA)$m||3cNO;VbU#r$;F(3D!~!$!MM&W&VkQO6&-0>1TWXb%9^)k(i5uUXL$odc#RZS5pQ#L?J_Rsu5gWa^c6Qa+p8qgk^khN#yDb8RYL zbg&^d56UO(g>6jihOmi#C-4C?etCiub7rOO=OaB$!0-c5!B}ejXZI$SRti|&OxGWD zRt%QeEQZKKxp;Wqz0gdt3TywmXiX&JzkXA)vEmq8dlk|2)mGgbfFZ|toLN`>oAqiG z5-T1(JUy2LfOewhhtWi)P4qU_&Og>Yh~SLKA0Fpt64~2D7;Xw-k8o;&>8sP-;sxH9CwTh5&`_1|wZ%sOP+a(`ZShPRV#moaT9U7~^;Ya%6f zvi>IjjgX;t%kPd^2r>Tlntm4j3>AXNDWZo*2gXmAMf>5LrDtmCy7DD;T7)XCbozT4ji{FN z`3iL`&o9X!y{tggnAzTU#r988Uj!Y7xyef&4qM$wyPT}ASBLR9hMJI2lH}eDlP@Hm zZaR&S?@*|la5)X^_;~si5!|VIu6XkpffWO;llA04tif9f4@LU$ZN!ekN9dZ)vZ?p{ z`q%vqZjx>5FHjZY4b6#C6}lb|*Xs_mzmlp)IT;(WdTjTVH}`p*VUEwe7K6B~ofgx4 z=ifC4tt~aR1nhLEH9e5nqoMti75?@KW89S-P$c_wJr{s@Eo8Sa03moTl9rCArbq*xA_u zYEspY=1r|(LF;J`6QZ=z#@oBjq?`i@bgS{g+C{IYUMvh*YqMJ!h8~q|UvL>TXYrAT z=RNHJD#p)QS%HLG5C|^$7a$b@^HcaBKshLplpN1}(;vQETU+bzSFW2!7nh94-1}#I zf2}zKGMi6~Du&j6tCc`caaau<)rM5&ssP<-&6%`9>uS4oAHSVCnbc@f+Cs9}_A_9& z#2aMf=X%h4MgkbroI>Ug94H(eJIyfNraieQ0mufds2)y;Dm$M-i55XS1LBE0n1PV0 zQ!a(ME%@{lt=98YixTuPAsDhE9;vxa9QoLj8mwI$9j9dnUwsNefL>TaSRl4s$@w!# z@cM%TFL9AF<8p=3_^^n8p2==7d&m?aDfoShgcisGAt;E)6fN6+Qu8X02(kjj2NQ;q zLGjUH!JJ>3WR;b}pqk3bM)al8V=xBgX9Vn_y+7OV+v7CCDw0UxuP9HRvt9t@nCi}l zEO`@!T`qlM&(nS;f#6BPU7#p@t0WION@!RRF~2UcQwIX zlb{Ui1ge0mh(w3u${}zt|3}k#N3;FDZ#;I)hHAxV3Dr_7)GUe^B~(dk@4czodyf*@ zYV29_qr?ui)vP^hucFkhJ!1Uc-#>o&GdY}-lkDoHg0ez_%fqD+55fv2;0Je#v zFR`TwB){_MKg3m>O4&|rNeJ-eQ9y%11#jIxK-kf8Xe!Xu6d)7W_aAN~YrYvftlDT; za2BJIAF5YP(QHr3*UKWIx63m`*0gKr+ZMZWM}Vk(rFZvFst|A1#fNg1v}ia$F(_Ck zi}IfiyBuPpg~>SsFJRUw;P>H6z#N$4ZvU>u+lI2{f-`P<7@5g<+MA}H>&Bi|MN4)wX;`%Q;EWhvLWZ)llRJ8W}O~i z+$SD9x{LFr7lCOgeh$T`lGmR3e)-~7q@LBS5wt#@z2*4~`GNIqI9Jv0k;P%do>3)c z5b&FEpg&K>9ECC{A+6jJ&%Dk)3A(ve3cjB8n5f02W;xsr?XyS+;#H_OEgKUOi%Yc@Czyq6eP81T*Udd|EtsS31aUSM ziQN90G3I&hDPd5~Qp_lLw}^PvS9-#mj{QwqbVGtTFV#1!_7^{OWJ3E{`H=db@K?iY zGuy*2{`HzkXL+&gZgyyYqW30wek)98sWUiWXPUik4{v1js3;=6 zJM*`#qym~leI%RtGVb9)+uR$(RH=l3k z-;1Q+S1C@kZaUgCSiUk$)=?YXo{vf@I9&uOHwMYLz3@5MU(9qS8!swNOS6@ci5C{DBy8^m|C=@89`VfGc9{>^L4|< zUj1t45#i$Z&ztkgpAOWBs_QC!{w;@8Vf+?a_IZQ>8OHc@UB+3iuvN zu?z2w$nLIP>`Y>r4{S9`bOKzmY#45G{7$H>_tj*`+Co@O1D#lUYSGne_}$&z-d+`+ z75%aT#bVv*_{3c-kz46ceZ%Xqu`xgjd~d>uQ)~!RiI1=CV;OJgp2!3?jzGc+sa!=( zjV0wJfYSi%gPB2w8x@-UA(@x;iF^M{Qg;wyK1_=RWpArKzPII+fr@J zL!U`VsBlYr|62x>3cH8RRu%bn&uPZ020!wt6%`c$4DoWq`l^?W!M?7c1v7^70;Z`DVnFN^wc!IyX^jmGsvoBUnHzY%ogbA!4~Y)CYi4!$<9K7Mdtgfv$#toef*bO5bMZY-`Q0lfjlcWj(sg__OIGx@iFHXY>#wip` z8$+9bAPhEA6(;DW^hdnY1N9pVq7axAx zN=?gZS;zZ}(^m};^bj|+Y?GLIVY=yx7+E<9+_k%$PUpA748PZV=7g-IoyJMz5ibeaEt?KGu#WmuSf%wNPWu!;R^y!UUBdvOtznFt9hX>4O?0iXjSM zC<3emB?1Rm9{9=@3*qIq&%({akSh=bB-tlzEsLSl#aVDm<4Jz}wvRElNGF2QIJTYY zw|&7@{R;t-GSpP@$jJU5D`n}w5(FjQ^yJ(TlPG4Anvh^NHEGt6DTEg7gx#8CSqUyO z&A7$gC%_B;gN${4*Bvpe(+!L(^X&EB6?=3i_A8T9u@OTu`kPq2zKwtJ`7Brp86oCj zi-bsiehn82VLkq?5UgEtSD_@BHq|w>80i0m75O>97TB(LYz;;+UzhzMAI*skd+c8E zKdw|8o8VM0^meWxi}{WL39)KspVtf19#I-4HD|ew(SI5*+J_(v8w0Pe{-|F6FtxYu zJ88<%dkF;q>kLhQcO`-eiVf8wn;i0g_Ro_W=CPU4fQX^fDQPV}Zo86VetZnA0L_Y$ zn4sp#vb%+=r2Mb6jZpSgj`h*8VseT60kLjxg1ZQ4JJ1AzUkP_Yq%Rk~sdL;}<{2HMzV1t?cax!f10fhISh(%*BrIIA8T+=ole6p~oYqy~ zakynK*xR^y5d=Dpk`LF=Ov)2~2?b`!q}C}KFk%D*I=;UvpCgHH)Yd(eDmO0abVX}= zz@cpa^%QdjF+X%&83DZ-&^B7yK2wSiei190?Q6gBx7Y-aZG;zY&v9S}h{)=yg(Vwo z)13Av>xi_|y#20!THM6y?4xfE?#3qXx!-(h?)cFvLI6ukVN3kJOtQg$$jy1LNRDzo z`f8@v_r@bGo>^VJ}mqhDRDO9p9@?{82Yc$ZsrI{wQ-cH9Z& zy;D~BE_Z!8pV53qxuT!Vo`3B%ec?YRns~0O`%hVkn+-UQP6DmOBlMqH9T}VyWS?kP z1u=UW-=eC#%KNkToYBV7b_$xTVYJG__n=Kjzwa5b z`j?)iic411irfxNm5Uz~WV+ExSIk-YkZD;PinToc!6U>=ny)`|zs@MvB-5tn`P;jO zCiZvmy<1<3rs9{zhPyUQb}xR+)D`A6{PU`n%xd4~!TtN)|F27|Zt0Ltl(}2Dv5~C2 zRh+fCCh+gii;lZ*Zd;nu`qEqLew`cMTlD|^19xH4P*=aYBUR;9qHeG3z27u@IX~`bhKRLNg$v7pnC@6GyBq-Cp=Ll!>`+QCVuxV_x+Inj~-`_(E!9RG=|U5 z1{N<{qLlm%4pX3t#k2F?oVvzM?~jr?ru#M%nH_Yht2=m9pUtWBAC-m|e(DJH(s)G% zq+MF+m6@0f$2EE1*t2(axcF@!jGwtDUCKAKK<8;{h6FN#PE%bL-Oii>A*QCr-g|Sv z@kXa^y0-Jccz)g#k8chl+x*HpQtUi9sXc=$j32diKmTXuP+wV7qrWRsJ8UbAOz3>N zl87we?Qd?DE|}>3@&wqmH&s>&N=Vr8Ei7dUIBZK8+&2h|c|fQu5GB%82Jiv7|Cbj1 z!*s+RXE+6*LILZG+DM&7mvh~ALm8@Xt8=wfZ(Eg-CMr|CNBbyiLvKIk&&Ko=W0ArP z)}()dHBRaNq#hs%N=n-CEDZ4Tv<1PaI^ONPsAJ9r=&-0_!1{aMayv5|cnYL@W^Fu> zc;C7Aj4iy(u-^QmJTx-tZ{nj5xU9J}W{dgl6RF|qbW&g(o3(M#vSg0~!%9j@7zB(B zO-$UZb>`cl zg?T{2BT*fPp#QyEXB^AQ%IFY7*)pueA-|USbb5Ttc4*3WsdosEP2oVJUU{sBADy!d zMi!Xk8vtZuqmWrZ)8xHVF`ruIf3x3v&zh@v^Xb5HXcz**UO+uXM=$%0P9ugI4k6-5 zT%~hDZdC*eDF_lHV%|?LEzHbOlu%nhHVjqbz_k)8`rM%qQjH`-0!4D#2ri}Gv7M%U zJX(kYr*xmFtN?{VQhg?n?L{$Lutk8BG)bNn5^$-)B97UtiOu<}xP{?N4T@|Z!_Am-?z!gbZMv$L~$Vcils z+p>N`DDi(bTuK)yzHe2AvBn>_0(c}aJ!_&Sa-H!^~;u|6Ri5ZP( z3T{CKrsdFN5FjNY5GE#w(iOYWqv;ZAFfnokfI2}9kYmN1QB9t&Ebv0ZQb1Y*-Ab zky$e}9&$`pW~wXWT&ufEB4_us2TQnd?277mjlM?=`<*M(9CQct&~WNQOfFa&xY1kS ze6QOhj>3MhEzQO}O|-|ZUu5k!fMoeqKMJWS>%F(L)cuh0Qy}qYA~90M4rx2p6O8fE zOF|Y5eb)4-kQ@g7=)NBZVXT;ES37lB-f0SRA+-Lbtr z_2tH}K$nqijnK$2%Wn(s=Rdg>YXQ-lAZBWqEQB4<1%KmJ^&1ybdV_=!LphKtNd-u5 zkQsOW1|F@+A5PG~6@$V&i*lRc-c&V_5tN; zr#<|cz!%}-JDNB??owZed7U_nn%!nl$vD_yj{0S&P>mapOc2=&67W0VGMjS^<}-q~B1 zkLxwA9u+0X4+fbO2Of7ln}It=j(TiK-!Cdj2<)(m(6-|~TlJ^5{=$=Jal4Z5zfkhc z+c0)!RC7~lfEg3@dZES6x=%*JZAtC;Wxv}JtsbCw+-YoW(p&Vyhb+8&vFIb@eXgbP z!h6-)AvcxjO+4MhCjqFvvWI;yo9j<-ck5ct&G$7uthAesJtFvxzrWi|)X6r=JW(}{ zj|_{=)A1s6w6b@_ALf0T`Z(O|?u_(~kdclSTf~$)UAZ4(moB#EXqp22+_E(`ivK(* ztebN)z*eofiYgF*pIo!^dlPRT#bQ66jD&sJ-`n{)S`m@y=oI)w%JZUZVdMIVjI+@QaH<)&M-o#IeEmd%rkNIO~3jDtQ@y-vJ+W|GWxw-l$KyHJ1neF5|uxgp_R6 zu@PVBc=>YlarEHd&v+OAcLA%c6s=1$k^w6>HmwIwT$=F5l{kjWxWs2~(~pur@t&(m zCfQEh)q7(nw~9VHH78d2yiqslO#a!2-)cgw1_6DZhuf98p3OF0diCkRbegD~`)?@i0$Y}6AU=02A5mRqW@oZtN6(W$NTDt)(ye+bH1=6n|fw`ssuI${fP zLsh&~9e`KGAgETvPB(6H@<*+6HG7T7UxR`s-hQP#vwQQd|LRW~(B#{bt!CTnTrrLT z<+v8#lPy4t3z)loW8YPbZsPO@^*68=eroo0KWfaN@z;MQYn{=Rohpsp-!N6)NP}^M ztilH*)7n4!u1;&4tE(-pukYtO)Wu-`xfng4lyja-aHW`jCr*z5B(JT%sa=90z;FAz zej`gBJUBS0XK$G|TA?$vFM2(9=BRr5zb?-n5q)uSVOO~lHwTSiUls(S3c}SwploM|v8BtN1KjqjEuIqTaw^wFVMje{7;B0`O zG=*2ZT3%Y4DZ{BJ2=@^pKcJ8?DCT0v=Ly;fig31ekhzkewmu_K`-md3oAEj9F6w?L za~SD$$bMy994-kG2(cpq!gJZcY$Hre^0byI;JnXY<(B_2nq(T-*3E^}g{#!f`S9&` zx$;Upl>G_jt4Cl=k!+;Dd^;%H9Y+R_5+r$#ACSrC62G>9amqG9k9$qqbT#hR-zDyL zt4Xp-l|*YZYY~&TgPDoh6d+KrU?_-<`0Kt;ums{A)z>9^IZ#Y4NQH{F9oWj{(@}&} ztz`|@jG)C^ETG*`XpDx)HwdDgEf{=4)`893{SQ?<`K@f*UKun-LMokAk1EbkH53o$ z=A``bp(CXS-i3fp9eq1lH!a^*UyYFrw;cbYCjVw#a(Jkbu-dP<}S^@fb` z^29yPdgEpb*UTOmA5G-hz%Ll}!Z_nM;4oDzF)0}K2=E2TTS64VO+(?qkcNk_PEbxF z`$Px4cbwjq-uv^uZ`QU(3~sc5tD1e7G>;7o{;FvFv>=9%UXcd$i1DU;C4@?-xaR`<*8yKSdI$PNh}#j8%_WR-z5SO z2S1-Kev5&)O1(uzn2DS6zBVrqDWsPL3s#A~$V*J3<4}P2jpg4bt^WjNL;lC#&#TV# z>+%@WSYIyzr8+%3Ws2*bpJ#D1YWp-QE8FFt%%0+qXj2SAJ&nU03R?X7c3_lwpVW5c zZciSQMB;}?lXAq0T$G(I2n-KZu#oib0_%N$|CymJg|{Drp}#9R=fPqFS5Av7j)+L) z{qPbeCsAF|SlvY#^3?&&b%-(#7F;#7rG^2eG>^KVMjIw#nIf2~oz=D;YAuR=h?JN>i zgsTnd&fF3|ls}L<_cRMUzcW0)+;u(X@9!66BR;U|F3xmy7ua_=d&G#?`toH%`iPXD zCKjgMBr@Ng)}_mcmIndFJoEO(q?A>^^m_fI#Bq;=AEowpXQ0wW<|63DyIUFEOuylt z#lWU!iFschlW)A-q7!12f1SVCf3_O)DEJ0Nzn~wh5WS$hz8Sn@7?*atMdiQr=4E_- zhfZQihO|DDxODZ%H?jZ1!z-JyakB$EiC)bXOe_ClU*Ab@lcD7e)7$uXFy4BucJVCr zdC9||;UKr+9`y~k>QTYU1qm?(2Zg`v@z$sh!GW8Yz{E%X)~f2}L=TUoquI68x%jVju)zgoEf^q5&8 zW0rX#n>}HZYsAFtDh-hLpdY5P7H{`zJ{r?sWV{SE!aO1nRVG;moGO?^pZ z(bl*1Uis?K{*XxG7q-RO!@a~s@6K7urw(Yf+_w|o05}v#MCypTW3U+OQ3<3Q`d@DY zE{*F;fcwMy-P*AMieKIB{-*e?$JJ5#p|(y7@R6!O^YLk2>jE9rNyRDlZLC{`D4oMU zK$HNuO;)KM8?em9s^}#d7#IMqK2Pe2(2X7;Kw9wgX#R26eMLca_bS3#KH(mI{~p)L z$w@~(XF!cOr}wQvWW_*Y-W*@e>&CJ%QT#>@V%Xw;0jOP*KImb!ovP)yAH*q%9_Tno zL#Yg>jEszMN$w89RX1FI-*;l?T1tROV0&EU%8R7A-GqblR0~pDy`)v*V1RG5=rLu4 z$KwTBud19#PtVSFld82=aFdfWE_ceEavkfe%_Q}b>dPF8SZhW4j{M=!ru)m^aIbjk z$i~-Wraed;PAaqbC9k7%er|vjK>_cpBb$~v?xFXa3eFStY<) z>G_6Bpyh0x4O^ZjqRBdl$nG2pxu)htPwEp9f5VKSQR8u@|;Ia z7z{|6yO09X4nCQuB?hiEqu)~uB}^ZcgcA(Ef%W+ojAf-^+W+MqtK{RfMKyIPa_$jA zK!e~v61`*j^nD%+GpVV+fAJt~!z(y3Y~lGRB?lPs!2_OPq0rRrRTKy;Y&GBtSCCtF zadwJ}?6Ak)SE9x76tz*Uis#TEzRztlVfEiQZE4yGw<|Nsa=C?SAZjF@ZpXWNdP)C> zEF)_tz-~SCdP-=Hj^?G;pj%O}sN)Uj`9hJ5LJ);0K_tkuKdR3M44tR#?wXWpzF_xJz?7C}RHrM8nXrIF0T4gRC9d?Ho>1;#5#U8=6|E80cgUlLr6gaH z87|#LFvk^MbCSu{^B)Cx2{Vy?EduU_;{8!L`?#vvy&-k1e(b7QdAaxoMnaPl*{7Mr z-SZva$labhV|;;|cY;7vFhULTEC!O$Zc28}dnEtj=bQy%*bl?lhq)gU zTiEW)qaX-S8xw&7oIT}t&abS+@2(>KK6Ey6obTZ7=)P)1D3z^j(`7wFmdgWi(aM?x z2EAtO-Y=TQKeZd{YickIhTw&FY5GW5IB$d~o&4MT5xgXbXf}+EL|5m@)z|q%6rFuO zDcGz#C004>9)@m+GSaoR+9cifG7vYuX=xWq%g?sfBnujPH9P<;z7zvjC$TQl*T;t; zzq&d~tcEIAZK=F_>k~-n*5LAJE*MQ%Z-L_RAy01WYs0k$erpK3VP?j=ZB6|&L-JyZ z|A^&E*P{vtcJECZ&xD9(ZTOT)?%b()tEj1gh>?1k@|48K8cLo{J7I{?iZYlEk#D!|<6J=JY7FjW%!4o@;D|O4malSYg$?ke^bp8K{f{;|pY(D$D$R>Jkz%cX@PU}L-}zU7_oW}FESyd-m2zjRxWeJfk}{@CJ6 zdf`sMVboHex(-sUl)_(@YFNDl@pp_Hu2@iZ*=8n zHLYR|2kU+=^R@y~M|Rm#0h?0Z|BP50uKGU8c&<$a?W%oEc)fTON%<>vA#<9twT)}L zQ$|>}Iaj8$p%ip|AP^X6ohvQ$-l<~BJKmaklu{=Bu%uAema!|tCAmKSTG_wjPj zw;@wZ4pNm((vB|KzE^^kmHxwvK0Z2!n^RX|LxaR=r+$xaQMYYavO0c&Nc~$ytSfeJ zVCfC%s~$X=mzNKvqIts)FHt|$4PV>BJ@p!Qn7hYS;gL=DVJlA5XVCq^7I)GT=#kr) zGJG>&U~s!?(xA}dXM=aF_0*=4d1DtZmPUzQNG`qpak(BPus)u=^dRD&%PG+Q1P?PpWb4=sg`o}G{H0O6az8k!aZ&^KX39_|+?-t2Yy4&o(rclJ??6bBu z_xeTiFQ(fAc&Y61X1|R|ddbRZ`s9?aWM;vn?u4Tj*Bfl5eV(>T)YeLu)mFW0!owHe z_y7Htj%T&>k?BoYW_i~3Y?wQtt3O%5NIw_N6dh{JKyG|DE{6FrTikf*+&)nlOLjmx zzX!9MGhap0KyAhFx2@RR3RrE}kG8^GCl?nRJtc0OL_!h~n zAuOrlU#tS?eKjPyo}U1xXdY-BNP!(6k`eU^^75K$`98Q>S4bks8#hlcO4hrW{Zg@Z zNu>{cY2wsV!B+#MJSaI#zi|qCvFm4fqL`-xr50V%@^=Zwu*ZLS^nqM1a9IWoUD=2;{>Tp8;z7pmh}gQ`lE;ID zP~-(V$;n=IbuP`DBrW?E2$sGY;5fFzd_oYJfeR}E^8DdflCdwf# z&_LLJ5O#g=v0n49D*C+z`|!eMZE_uOkgT3^9d=t6)+{&ij!R9=LI6i729wK+{hVwX z4o9vkusKqK!y#F#51xDfox$M(AKuMPR7w%-W+AOiA|%YiC_wV3 z?!gOcd^Ibl*clv7&9~qW}x|LFYP9wsCBSEU% zF&S?t$X#>)lMs|ChbKa!XcTm9Ngm}^hSKv;BcrJlG`Pc4hnw2Y{GA2{LW&PA?ruAj z6lFje84gbSGVW=r2!KZ=1PU;y&0MbhPheP~ zUGJYW=#naTY%a^6E+z}{;q*cMUP_Bk+lr_dsgDI93#_)L^%RSARdX|SCFzJ|SFq;a zi-Cg&MAXA%3<8a9tPbX#AZHW;BblB{t0oN-YL`KvxOh)<+4m?KETXsbF}9MTXOMHruqGL!Jmij9OV*=$Cd=E3*PhCB#D1t@u}H9J4r#$ z5A1xmcZHwRUS0dv`;5_naf5-2I-Xq(rB~n{Pp)fT8Uug zoegTBU+`P~6&K2frT)XwJKZ?&+2jHnMZ+r2yDCq&TgqEQ=WAfxauLP~se8M4vC7K* zLKi=goaH@wdbp5y;9LZ@R6Jh&Be`f4$R&yt3?}dDmvNb#xcG4UeDW%FX5o%g)3Mc) zedDVSmG0|nl}~~W;=J){E+N9_xm}}ln-3oc7N;YOoPo%xi zdgpST$go#&KEFCV*k9?%^8Z=@GMr_}v(eJ#jRO~{i#?mJTCtPSdYUGGicc~D7dLhD z*RYMUfFXA$pE~LqwyegP7XMD>B1-(5-aedrfaA?TqfBYw_rrRzpq>80R*_MK28qGH znm>bl^;)lrZHD=beYZ_hS(>|JzZIizZ*FfoKQekB$Gt49E%JkSG%m3Hvnx4y4{835 zxa23k4fI+aTRALokvTx#7G7fmTK^57PqIggHN9`_z=J?k4ABey96OK{xGPyMz6-U8~hV)Bf)&+uR-lA`#kUZpUwF zLf?IQl6adTdC^L?G*^@HNQGCp#wh=Oy}k;mg(KjbaB~~4Y6muri}Rsu8c3ji&aoH8 zG6(>w>WR=P-u{F~mA+8FB`C?SkKaBwERYydpKmzwT>M_}9dn(fN-u@w)>LF^OpVK;~W za9Cr{h6?cF`;8>4I^Pt4e{103glP3s7x2>ciQyUjb6-B@ksRiP%`sQ(tKsSfg~-^#BxaT zVV@!QE5AL(ug@~BH@b)eK6_5weSK!ET;4r2E=}&Q1r@D=5)nG&lOf}OxCsy@cS4DW zJ2;`uHX39_1*5yu01X~I`4iDhRzs-K(RRm&JA6zdT{!;e(H}+EooSq2LZJ$UV0$N}5R7OAJunAuvJ=Egt6!{)l+%;_k2W0qm5xxJ+?47$y#_H{ffQjyEbwfI zhyRsh=D#E9has$71>U`!8{waP-BxC|U0lO<=Ih^F8~3<90Je&hIhe_LkH2i&zA?UK z{Z=#;zYBIR3i zsgv5Jq1vJ3@Q^=n0QL3Mhc+@~Oz4}|7vZwEVYoOgHMm>GTf7AmI_{$+4Jn8gkt3(a zq=NuX?qfU+?Cu+EdCDz5!&ne0%wCOHF2^(9Uz0m=Zur;y{I|be-el+Xe2n`jf=MV_ z1p=9@3zC=|+9Z-QOjM%7z;dQFqO}&UnYoFr`OV{rKS3YG(IQ=k+^h`yYA`fEBm`if zh0NU##T`DHT*Xi~xD_-Rpc>Q^jVFloLW(;bUs z!A6FRg5rP#5;-;`Nyr9=>83VyAO zJ+-oQ{wo<2AP!7o zu(-QwAUT({p^3bP|2=N-$(mEJjHd1U+t{Ruzva;v_qzkjH5oUj$<@FE(<#BSJZTTAah*gHh9wYrS;%I(Pw)!>UL{5OXBE%W-%|Z zpa5O0`80XzkB*#mo40%bRJu~`y}Y_ zYv$ogDQX0awdEa6l=EjByT+rEz<=p-nb3@yy4ARX#r9r?mbLM?*-)wLO1g_n>z$#G z1YGFT8%N&1cZKQ`%3jpby=91RI&FB}baJz0sax^>{MS%*>mmAFUm?RDL*(jGcU$sc zW{Ma_1BXBU-_=F$x+l^76Fod?uE8!aT`BkcrFP)w`>mPD!Bm%-aUuNAe0Itro`vzN z9mYO+ojWJMYGjgec~QCZs%vlEnvAA_hdKK;Ow~B=8*JGyvRdnGm`!cPAb!7f4}53u zT%>MR7r&zC>6JG+YhWrW9nkg&*m0IUuW{f0=i3|Kgp-&T?n<&a2n^4x;uE z-fbT051K7JJWf1t^}|(+d=H+K-V7Dvg7B;YS3Q-N%&Zc2H_v@+x3-g~=02J%T;ydp zxvVTk_yK&FuKuN~#$l;{-6#E^YoF$exbuxRlbYPttNuF|yz_T=zY@FD&M^#`WGp@N zIsZn~_aE8AD@4Iz=cvW5O;-KZ&dsye!?(RM(ms2OL}WL3fgAsfN3iZz{InnI^wGaJ zOXut9FB)eJO=SFsrCZ&5{EoaHv3}nYYk87Xc%FMQ2i*mozMmUCjPWc;# zi6$zKG!;(8r{|3RUtO7r6?F`J^trCn9~vndrs%M+eUk8~9^jr~l`{ovtE-Gl+A zS({Pjken?XkgWo4jfL0uQ3e>7YJ$@Cp4#TweNXCc==SFaKP=uX+(v;(zmju&Bl-QZA17Z-yMP1K{T5{!;3pW=?{C@VI_JZmZ*qBWzEulWEh z01b1TQb&u)>D8I9G;^t)K+&y6>#y5XTVYFi%@2agcAODR$0+WJbMF%U5)i0LSiY^B zi=7BPHVY6hWP?rB*konx^uW;r-XfvXkFJM?l5|SqRwPBoKHhyAK zQV!jyJ>!*RH$<{#0rZjiHU}2iL$mE9ulNzoerRf2Mar2Vw5!q za|D(6AJLg(DL^pJPSm>oH-L&Fd?G!Z@Bsv||Fi7MFeez+ir07n1Dv4*?;-2*bS0Ye?;U`NnYkY)dt%oElxN56iFAj#dh!eyfq zVi69hkLE$tUw=Rm`Ej3pvId6Kdt42%Q6O8VXpAD%*KRhO#f8a~O*qV7oW(PDq-2sw zk=v@cV1nw6B^8{M$rSVAWT(2PTw=@TW^G#h@uSzMDc8PSt^x>>kr*xb=jgo(R*t|_ z&yxSg0QJ*2?aBSb7)mSR@IF~^&P({$aOB;dj>^q?1Lua{+fQC+NxL=t+<2O(fh?y- zJXID9LD_M~jY1Iq5xKQ^YmNH_lYO@Gw1m-IV3A;mtP|S?Awd@$ko+b?xj~@jg$K)M zNg8<&Mp5rDfgF~&qWA$$_?Qf=-Tt4%WJ-E^gZuB5iYb|(Es0h-k;hM%-+UQy6AYo( zqaNppEkFF_*==22i%jPEdfi%s%zjlc@B9ban(W+aTc z8F44lC1|h`8kE==cEj62e{(;@>yQ&ZvLq*P6n)a&W6O-#Rc_DQdyF-*94|gAfivpHvuKh}NbYRy*8# zT;VaDU8m-_`+WRHDblqYiUKblCoax3*`hPrSB@Qm{!#{7{9bDD+(>TS9T$wbZhq#M z;2cyaQR{zj#c|fU9W^Y?Fsr3xF>~$WhVHs zy8_eS?Jkq*D+SM{R_EZiu}VBg->@CVB+^rjS7FH*46(&C{)>*>saG{-g}+CBe%6aD z=zhAcym&<6J=|aBR2Q_)ajY}BkEgo`(HY`MtMglR22vrm$9!zo6WlsT&i;EMRexGp z0DE0@^XATwwe)ufJdn$KN|9%E|&HMKYNL{wUIJ{)8 zyn@c-T-5hd>rY8~5{g<5eRTtzNM)prefn2Tf}Y6yM;|!cdUMHYa=9?REFp^_CWMNM zESz0ED-w`CYY^Wvc3x_|9x-qU+}^g?j9uvmd+rbp7XVen%0p~r}j6H6r&`>W4n8O}5{rO`>Ne1{2 z+u=3thg@&QZW6o70pI@7z%xjDdEiM206G!}Y`a@q-(K}szHR<>ga*}JM~?eXwF4G#=VWABul)G47T4|W-sGk`ZTo_lN^{^ibO(ku zzu`-Cz9zaa3&5KI6twQ@{?7qZX(~~_o+0&9r(A$_<(IXQC&bHaV|fuMnK4ag!qajR z5aj7O39SZ*8IZKJv|Nnm^9Lm*l@`GZ+ZC_GJ=ZEE^2@eoXH9uRXBQWN1fYzJjG90b zAa~Hg5lH5WYuN^Ta8r>?K3O)*PObg5Jm`btu z3y1T)A)*@j*~U|)3I1BS52`vTto{Ago|~L#Vb>{2T(e+t_Y`iXByXVxA%=ju6uHGe zF|jMKkw6K;0bHsn^F|m5H2lm^-&TRV9ZHZR7@vlX2#XR+O0Euk@@4D^oDWI%7x6BJ z-ukC5Wg`k;oH!OWH@38lZPq?{@|gKmOmUbXOxCQEUJivc1%;2;<|T$ekl471`}aAD zL60dABvhob4uh&%%Bzi8lL?T*K04WHhq~=?zEFA)NS+ub3yw|TK#OQVV98a*2d=}e zjm>+1R2kl;X}8C0kafC(ln}^{Xi^Aarm6~I>!$>!H54HMfTa0R)vHYEP9U6Ipdq0} z2vVRuWwb!e-dRn2|2&$dht?|fadFPXP=mh1kQKdf#&hnNCc0m-ybCik6LcC|NHcK; z6coV~S;0#ZuE0(GU6|N3oFEth22nMk^hjBviiKY#eEo#5bD}bhw?NY(2*D}aLOn-> z=E0h%2!7sJwHP6?G_dcV7M&7$McVU+a3$sdtJrnF*nQO@F;UT!j`oq)x+0v_R*U<-iJs z$bv&gr=cM9D1;D%(u}ldU{Sy~1L%FtwtSs=z8QJ_P4jH5ZmO-VuB}{fCOf%2KYsg{nTuXWFAw$MsTM*4 zLBU2x`gJXrxF8?QnE0QX-EYX9Mx5|q*}Q!m3>;Knvx{gZ;@!w$i&VL?w^r zCTz1^^?gyGs{)G%kA{KjM>Gop|5nJfR z4MiHZPUr?nvOV-XYgI@ovx=9cM-fb+1tJ#YRLPjOG?{Wcs!{+fs4T-IAY$OLIluXF zhI$IK)N49jPd8ch%ZwW=Xwo=|ZvNfgdeztB15yBIrXt^ZFu4YOuR5e+UtX^XYF`V= z-$ts~Sf$3kpJvp^HypkQ%W14Wofjo9T62!I3fqf;CH}GZTpvErdFU_s%xpU%Xgug( zRyC?!0AsyY7r+`cS8}_k#NxYpRDHM1Bj<;i8!GW+oanLuPjjQ0 zBzF6+eDNUZPT*FOjP#MshQ8^$p6mjLC2xZ;9ph&=HP7KL^UH1X1aDIZOz<~}$sX>!TwmN>@pW;nv3W}E z=i+iFYruE4xfdxMib9Oq@|i6wwR6V*IS*x>kDb1Dd7`q_b8{uY*CwDlMum5M8=L;6 zSKLw9Gm^P_gTLi--_D($y`0}B!LJ-zyF^vIf78Wa;B!k7x3>IrhT&HfZW{<@f@=LUh`1csIbM{0 zwxXm-Q!UwYr7I-pb}AAUxPQoTCo_d_{7eAb5PUUpL)2#3T3>mpDYHeW0oGu1e`(m{ zRPu#Ja`?s6^+?~t8FBCRouMI-x+^Tw~Y{}seWCE}mN z&e6EN(7kSZ%4p4<`Cr^K21}o(3cj{Jr-{vHw}-!i)J3kW_H~jY9avLX@Y1tiU!{fl!eCWtxUJLN&+zEeHPkMvUvtERpYYKj=x77fOF>!1jH-apn^+nb}f}C{eH)VEMizzZDhNn?sbYYBUO=LPGWREkRC52v{?!z9owM2ly_M_A&Ubs{YOn zFnw@Ff#rw4f|;;VToAL=$QYl|PGM?}od(SUREf^`BfX{R5m00zQz)2;JG>3h{PyQ+ z=yRk$F;z5!!q5-;q=pA$GLGhLHwEc5NOA5EYYYrQAI>d6dH^4HZZ@uSh7WtBc9gab zR7s*y>*8QJLbEn0HW4{*bN~0A!w(0hhxUdp+%~+mCqh3l{-vw(+e~=*Y7N%?Zkoj{ z?G2+Tg5$qO_az_&N&2=sK7jzH$)1mjaLS_tUaA0uVez{qm^qI7fnn%|49a5S|D)+F zqoQiOE=quTkxC_NSN0>)fRH}u_tWm*8`#}%zd2`{r42@`n$3^C^X8)O z5~ih5BX_2G_+`->0lb3VxeAnv-tB#IwE#JUv4#)ZJgDkMG%fIAf8Kt4D5n>@s$(@S zoSpw+!W)Qu8Iai461P3GHWgC#q3VMatDu^0F}ch*&Me|rPb3`%MU+P8yyKHOjtdNh zmrY+Uz8n5ryJ@*zuIO$(F$)x0JHrvp4cVWQdT8IDyFMMa686|t`V;uWDagY9V&3d7 z?u@u*`)|^|a~byLpV4^@lK#lnpqc7mSyDe^9?lzK1s?PE&9+1P?=_b)D3z#y=!xkm^XfrYCVYh>$&(ZJW(fnj?3@nqCri5jiDg-YcTV;dl{+AuzUV- zvp6-i!J&PJ&qCtB+5r_O^?1#JxG#&nB%=Q;@StyR?bR9Tt<-|7MkC$9T6?|6fujY{ z7WbLBBzN{wBr4V&0>inDa6YC98QVFTb$$cPP>%J^KIj$Xy0(2b2!Zt z$w!#wT4(LFkJ}eR!|Cs*=0I<9v7uP))CVc}GOnhi#MF{>OvvYr^$pgnKo%m?CmIl1SN^Pb+J~+SJ zFhyZn6qYnbk_=cHogWqBQCHVBv;UM|K9dhTwKa=xk$?ta8lzEQkK|*7qXXI?78(IU zNFI%VAyr?wDphCR79YfrN(q9nWU9yTA)n)8L?^FSjSDCT$_GUgp*OMdYct0o$RjOM zgeql6Qu)*DwJYXeJk37KhF^N{4AGU1?JYQ?n>2Bk35YR)Y$Y^?uU?e|;`LG-<`x_J zIx&uDI@?TzJtEW9Lcn+%*<-wVCSh7_xzEmw2AVI&L#svm)pdNEulpg8L0huCvZfN) zfI((Rofer-(v*db3b~GaV`Sv7frc6i$M>C6i$3qdbI~#Y!P!fizh9fWQdmx!DF!k1 zbxSFE%g!1hg0e+o?&w;c!lffd3>Awa)x$Y$V>W%esO8L@Dup*{84?70y?w6EzbgU^0R}Y00H}>i)eQ3I1BcKrp{qEPLV+1Q3OA7>*&64JE z7Kh>PpX+zdgObSnicMJ(P5HH7mf>x8KAz`zb?E z_{|TwN3_K-p0xp1v;dJ?Wo3Y67tS~|fb|$N)Z^8`Q(wJh?4s9{QEY0&(J#A>pGNmT z6mI(Ei`ZwDT(A?O)oNT?(O`fe^6=*fjY$ux^D?$_JUtk+y>nuF+g~F!RdyS*n*3Qf zluy=m0w=-q5lh& zwN+9J%639!-lZnfHfu^-w>xO-Q2F*+wBY$d=U&*+;)1j9FGY#8?72J$ygSP4EOuB;J(6bfHXg%(=iF*1+JAb{Hq;B##>a3EukT&;C zHx{~v;e=#L9XzFL8?I4!;Ov;mb3Lfp4mmt2(g7%E-WeC;H4EiAr(pqf`!tXGbonFI zEET%cp23CX&TgwCduk8cNYv2f$Ewc|bTBg6YA5{yl}G(GeTw+^hI<><>h+=IadP|F z+Hdb#ul~W4UF+|++tXoZD?qP>sNS_n^rhqvC!25TY16ITPp!k~#e`<5aKo5~jA%mI zE}Ccuk%_V~`|}|LPYQx(SEKysJkj_{xncn$ilnd}6I3iMxTe}WpdofsOjQe3=0x3O z?hvq0AG+A5SD`aRVZbx;Ng9un`?aGF7q3yf=lPtjf%kl$2^dIyx7gF?RGRB~jPkDx z6?uj0&%Q!$N=I+`@B~rU*4CEy{~xZ=%99!{WxUgP{^ss)u(PUX+kKIE)YR0uXWzbk zfESbctH(LE55HI}I6C0~p${3zq7gWNfowRz_&cK! z!VQ9%dj>1Mh*_X0ZA86**58m1g`;|-j|0ib>3DWH#IXib$ID_uvF9DzhiGso8iuIOeG@LGBT) z)O)ccklEB8a$aY%a7Zr*6a(RX617-_iNVyy)zAl0HJYz%0iWTPp}{p{4y(q?vizWF z^H@DQ{6cUM4_b44h`@Ic20n<2qAI?*of3=&2N2_ESc#@3Xk2NfnL0UD`V~!*yXpFF zg<v)K( z^7yE7a`2)e9_BBszj-WtWcZZJ=~Ob8%LE7ZG){OWCk~|(g5R5G8US~*F=>u`9X=rF zC7Z?7OF&3^KWly-9(1W7iUwo9`e=CesC0cf?DpPxOWzJggrWc$mHm9q)6x<^K^%Pz z4rh!P=8J)-e2}@IVS+>W)Y&acrZw$=M!IQwmc^$Hxflcz+uKNeW8=<^sGQiZyI!|I zH_V*01JgkfH8dpN$s@D-y@)A+Jnx0i={MGbWhv1vzHU>&h4QqQ zP&u$2g8+o$37j8>%N`%6)MSheOg6u)RLm$$3=kq+UP-$4wW}~L%k~aC5(_ls0Z3Bi z+6aD4&Rc!}7OLWX8^qRh+&*4+TC&wIR;67L!T7uWu1NQ*qm9>nSxr!og&(_Yt0-dg zd*j|F&Ce2YJV^v;c%i4t+agd57+uD$+R;q;&&vebx8)jd+N+Omzp@=RP+AzKGV)r$ zc1`(yIJpRCtHJ?ly=-xOGE8w0${6m!MDmx$!j#6wZ%qRxr!hcNqft=#Zit;(kBqk_ zkN2;Hs#cW{6wHKehD)S50xl{^gitJ;;~FpX5g0Vt(ytVcn{$rC*&c#NhG;zh(h@Hq z&?3y-*!DYBwlk*$SKN*lIgieUT)v(GNx++LhCZwQd00iIKVKlbs^%<8cS$cvueDK# z{lu8rMkWU6N|r&D3JrVIT>S44y_oEY^nHG>`<)7#PXF)A9`+lWZc{HzDtMY=Hswi= zpOCDwD2J;4R4_0Mm1V>K(ZhsFE8qPG3zZnEfx^9@CQZwdwUSakH&em;Z*H-M&I0Jy zBy2b?bqzYd{aW;w;uU<8TU$Ef?ZhoZgY4-w?r+VgYeoVm!}*zU$I zmNf+Vc40{O`h6L);^b)2B;ng9UzG|NI~DCCCK!8+`S#lAVQ^;1hbLsMaeN}OKrHC; zy6$(!%A0(%=(bBO&*?7-_)(4Xw42m>2i!KwwtWTUyf0(D1?XzlE&UNSnUE2Gl z+)x11mX?;by1J^dTf%%*wYwBmZ@}-|uv9r`576a}U8FSOpNCVO&l&T{a}G#@ zBtCoCF+2Q?#03=vf!F%G5NpK_RUWto!LqS z{XLloHBm>kK^dIR!;3wFVdRCVK0_#c%v(GsSU8qL6{^j`92#Th{{#&K6c3=GF&I!_ zbXh*e_gS15_Elc&q;N$HHeonblLJHr!8TdpG*u-T+NwaPx5fB7JI5Ar^$9SO@~M2bPX8fIuCM@ripP zJQ>{ms-&O zFbq@ZB807MxKO0d2#jnr`7v6+?9t;y5(-elfkX^E@zZd}>f4r;iTXgtALQZ32cEyg zRt3eE?6rkKROrYsbSy?VLiXyJpSaQ8m|*l zMMR}&X#uvzh(4$sMsfVSrfV@ldtVBe^C>ne0S19q0as-ZCeb{MQ_s|tW#>XJ9&0i> zQpYVx_X`tRNp%iJN`^$JBJ~V4D*u?Z|GiRIZ7nY%duK9l>Ckb=PC!u5pk_{4!<`$a zbeY055li2$3XyKbPB1_rmuCOMaRo}skK2fb1u~V>lLk|rb9gPL*IN7AhE^oCoH*(6#c;M4; zQ1nX+OaT!7EG`2x4j1Or4>n9(zIuP_EfHuIQJsLKoSMkUJ1z7C1W!6{pD_JCDNvOv zhv^;Ak+7)_12aRQp<$bX)y#}?4&15F?3CCp`eT{Tl7(8raP+EEp&n>VP1D7|524OVYcVkzB)H5blD%$Jp6;`T|P zF?i7^rX?w2mwA@w=0mLSWm4??sn@HkHAb5Cc%{ld@rr{|*0`!huvB{18oIqcsa#HFuP zSAx%ECWF$w==bn9ou}UpFaXLg{rOj&&fl6B{{~80X8%o2uToxpkGn8DT$l2-p?=uN z=?+}=bJ_NAZc-Q=b^C4mv%sNR!ho4TUne_GD{AkkBUXk7mjm|a_(xT&ZOo-_dlM@lZ2xfyy-r_-=rU``!AJ|OP+eXb+|2d zS-k7(*ZRDHc@=h^@zpmgNB$A7>GP`Rb@S2RjGCML-|H)PDM_zqt%dcS8dKfP&HHdm zxs@DGvm$efPt29AKgQhEbKyWmLV_F}D_0H$Q2JHrO)dJAEzFJb;goU5hnyd|s&w?6 zmE7D*MOAev@Mgoc75FqZ3JD8aVR!(I7bI^qVJlqXxV?8FSpk!LZAUl8cMEDcfp_8vT!<$`{d+#Kc5&D4Ogu8a^x)k6r?w(R3%$ z(R%Nuj%5+?pzSgCZhw=zt?S!wIgjIUrvGFonIszocXD4eoLvWZ6_`JDr@*y5?M(ai zzIuQMEvozynyLVPqcLmWNUP5Vh(kmok(LEQsKjS9eJHi#W^VOSPi>PGKv< zZjDgi(~=LI6z;JEnB^EC5E4^1#j1?#rSmK)Xc>eHWys<)^$M~=*BS^cBJ~KzWHfy) z4`Q^9w}+d95wlo~whVk&_D-qOJ+=r2IM!>7cr*|?oKh}qM@L?Mhaq;8O--W=a>Jnf zhNY?MkO(C06gn)18a_1yq6Y4so?||L$|5Zsnwp*~D=5gb^S!5*Evv(l1vO6TJ0P33 zG~GYoFvD%D)39KaPl-(tZ!EFUqmyAgCfS+NV4y(qFhM$opT()Zdo#quf<}+u7sR%Z-vzTHDdqj1^0VR*u7k-ycI+%mXv9EoL@Sz&+zw;u?5*Oo#K^)rWj4=nZ&`Z z{4bfl0J~3HY6|iXRkD{gUN-mszy@s_#C`eW>7F%r{CpP878=bVkKyw_v?((S7$J#G z<^(i(<;&kj?A!SK{eHe^dq`R{U`@F~-}<4`9@Ga)<@~Kxr0c`e77zwx z%<`+3IcMjW)c5NU)$V|8`P)*M1O-FkNF>AX&Z^Pi{`Z_^P-paaZ$rg2cG3^(9uG!Vb9y3 z#^$RZ4?Q8a<_PYdCK-}w)^Jmx&Wir(QOtX4uDm7grB4E{%X0IGM%elwmhcJQJKu4x zUe=7=K)MARGLd%=b?AYKFHTV|vjO*DyV>|p&LpQsvJPn>9HP&nm22FlTh1Hkq#FJ9 zpRiq{HgoKBmNoW`zB8}tH7IPftV^9KZZ6Uf_;f1#sCSs;);9_fXa84MjkQ)bopf7# zIO@2NBy&7^v_#*ztMUEZIMsj_+UT`E&xc=?-?ik}yyBD-ZE;_$lnmG`08dHDNwm!N zYrl{8EAqvQ`bha=AZ1o()ZuO9{*4*P_)(-x?%+UyKOU}5Y@%!Dr~(fgmO=>2_RZ4L zG)F$|nb+BRZRijP~ zT~AIuad|;B$GRe6bS=fk1D|?d*G@Z`{ z&mu87?MsBf8sN-n7(4M$7G%ULk84vYo85`;6}N(rJf~F_QFckPral*`8Y`ZM65DzH zx@4(dc`9t?U~uSCGc*3&xM;xLPwvZrTwoCXXE@1aOJ z6$1xu*@L~LsMKLWAb~1vMrbJUCQ>H(U&o;#&Mb9Byt5Wai!STn-zEc>b*OZr8Jy_V z>PHoD6hx674HF~-E;4d6i)9a6WQd}Ks8e8qPK-Xk=KvJ-b*-loV!O<9$#^v6ATXj( zzI4?q)006KL@r1Wi7tz(VcHUv^^_T{q3&j${({Ch!rVOto2`B%16NB7iIi`k=A28wJ z--QAkdoO0y(xkz5NCtHDT`}P8iqK+=uVbT11z`_>7D7NJzU=9;NB9PL(9qiM`elBP{Utn{8@dw-ubB>1FLXMDffXz6qYBEf`% zUp=DADqfrtQm|Iv<{fxy`KOK0ydW6BWt(nH;nlpd$kXug^1@QwL!>u5-y}C6`AkA? zJJvma)VyOs{UhEGOTZpT^^d5cc9`L~_Ti8cmh5a12-c_#+PuIP`E_LLHKgCL*;Z=k zI{)lvRE+Jr^r1Sq)m$P1YnBoV6Y*d2+?xLMJ|BzJtmXl|lFkB{aQO5c`xbxMhfX3FQ;+HYi*S4Gnr05t)y;^f5~YMFKFDV zznd^E=H5KaNSo~J3R&2+JoCvXe7YcmTKPHq_iA9|2o-hCx+O~weQdBSYDo_mEo^k6`9Uq@qUe&TIz*VF794liI9~HqeqCU2 zI*#n-TSHSDFPDnA(9Yo8zcZ7oij3b~_v21TI!p`x5X%DvY=t63!yl#lA|WVL{k!Vl1qPNba#m0>gbl(~fy3b%x6>kv zZua)&>&H(y8!JJpzmyGZ9DdgV{SalAK14gY9uvUjaz;%m=;~x6PuwSc)XIT62p|tH zHaqmTBTu3&`XR&yeo95^KXVPHLb6MNGv>lRU}ynGGs}=OD<4WrOUs*;4}bi?yJOCN zE*pT`_p46<@xJ$1oj_hfaRa@H8zp}w9ys~MpJvm1hP&fMs2@2Ja5O!9*$8Jf^_ybFaHGoh7f&rr5791E~C z68Q<=u8OTV^+k`m1wuFx4M*S`5o%d6-}RtfKg$+UB-9Hxm4(gmn=%NHIE2QBjZ}+7 z{bARMbYTeB$+xDlD1O(IEjIrAKa+ z)HfiVPFa$QMnyFEfeeJ!t(|w#U;F(}^YXa$=XF{V+(8B~2#}am*h}71SAiH3c6z@q z;AqdH#bSWlX0c#j8f9S6VVaMvUGq`=9B@c3HFJ@SK7$298^&oV^aezvf(Dr830263 zKvb+Jkg&3`_dnC~>?yDY18eIVrwxrsVJxziloli&d2AAi96E^XEK`ms|p(h%ghSOvva>tOA(r=ho7l@Lx{a9!ZZ(O*M{L1g@wgvU=~d$o0g=G37`=r&7Z2( zPDx`#Fq9BRfb!Q;*v>tA*O@G-F>z3{6f)q69e1T%J15ZyyF>wG<5t$DSl2N-GdpuC zW4(8ar6kup$AQ7L!S}W#(t@ zIzAJc*g0#O6MmDFeDlcp4~roVE0_XSC6Gi}e8-njT9@iyJQWHt>!Vp<%|rti{!G}X z{KAx5tqcqrU?670-q zQmvhl;h{h%IhC6C;X_%^nSY*6CMOXh`_TCnJ*cGb6aAaK0ymB8$I0l}MDL1g?r#aH z9BtDYP3~MBoW?IY(ws`l6dxoW+uVPt$xk(%|7J4jIDac^+@B)q+o;J+AIu?{coq_n zxQ1igsReFW^!tNha}C%n{$cDK(vOEog+6Wn`7SzPO;kK+(;G;88TvaNwH+1rWhRX2 zlkVjU3cQdKal#zBGsNH(8`24AU2aEbU)ymTQW&ilp=D&4&3c~I8Sr$V*LT{fWn}4@+l5=p| z<&0eJaxajnxu2I~58Uk~_;^%2NX(r7H)V3XPR%zWsWHohJN@s2Vy5HY_4{VkkdViK zWa>*N#B67wzt)cJ;sGQ+D|)=yO=KXjE?%Xh|m2WX0;j~|CNx(=NYbS8xB#K z?2}shJ$45V(u`WDvmI7gzUbBWl#4%*ikub6Qd&BGdZFTU81L-Z>9!EgSgAAgSb^uy z@@UFKk9F83Q3qwSNKJH3ZVZsLz};+Efgwr&Nui(XT%1-=aPh`jAb3b+lbe%p7^}PC zoVfFb9!pEvCHVSYceVZc=w_BXM@ONBw&Pc>;9?zbYQf&!Xm!Z_T+Ukeer$B`mPFT) z>nCL#0z-xTd&i2?DTR-Gpb_4Qa##$Iq1%TvF}mX=d9)d}8S-R|M#>f~IdUMg$4ilC zPLmFG?`iO{l#&;<<>EYnDQQqOe{fI<>GM|$T9*RCb-?%<8&jbf0^(-wExiAH^e0x# zcgb9ly&5|e`A zLSA-uJs$38jg21aMGKMieegO*5VvKEo#LRmo3%Bnn)e`+C~5<*riygqz2uzhYx4rv z*1}p^@WoBHdZR^-k4M{&gM))=qmD|1ji28&a0?a*_^izV?1P-+ErR`jZiaWxgv9d_ z^0-6h!-X*8r$AYOnQFhdl;Ek$6w+)mipphR0Sb(=R$3i)X1MxLQ7#?`3N*AkB0gZ@ zu)x(T8?oeV^c)%bzJuwW-c)%AoJqu2-#G9W;xsxwQ5Fv0nwD3A#n zBt(i3X^1%}DT+ah9r`8l?6Z%f$xFXaopmzI=V9am3ShI;UXYBFP=;aYGr%gSt;vq& z$pRIM64*n;BQpBT8;sY#IC*9t8on~2rF6qkqa;9Rpuo67^40G542lfsRI&(sAY{xy z%81D*%f>XjNfo1FX~!rROZ1%314jtUy)0fxp1q1h_PfHE20N5*g9d_$OwanM2cT;x zUVt*(uf=v}F()liNpu4^GBNdxLW&-$wemecpfC!Ti2x*o1?7qyuE&>Ap)uz zAK(P{#MaA77>sB9b0~KQy=JOhAuD(J7Z=Z1p5MG5$G7QLa(}dWD&?}YWJ5OgBD7S< zD5;Fca&H_u77du>yQZC4BmZ*fv@Nnr1A`&wN7wmD3bwtQ%kxOHi3Lb`Dm9O9HWinU z9IlKNgZi|hbLw|_4tucG`FZwE>rO$y(b)Dl5N~~Nq-Q5Yyy41(6dHzQHx_VBd z(ZTcepgG`J-20zx_naYNf5YU&bhHyhvXSOf)6esQpF*{{$dIWoiLVVaKWLXw zGHbi{vQ?#z$i{d=Z1hSaNhq;jQIfq}RyTmxjW2%s?{V#jaePy>t{1wXSzz%!~FlSp2WgWaxrgU?BU$u!yhIY;YRdW1`P? zP5VLK@mDj~OQV9;o#t)bF3&QGrMs{NOwPYgCkkHZpR8Z5uFNY$(5txYJAUyzct>x) ze)8`Y`}lUOAo!1<+QTGo_vV9(REE!8a&O68aE4I#h?VHkM6t*(jXK^7FilD66x8a*g7ZBlAr5tSy$Y?h5TdsI7UjwbG?<86PvTM z5u1|cS4pm;i~B!CYX zEGgux!8`lSs}|bE3aygk8#a#hM1$ya=IF=E`I8rnAdUW5>IATr(Y)I*PU-> z1Z{iOthFC6Y{paTkoSet8&k%OKBc-Zc_H$NFT~#RwmUdI=xAl+>nRg`_ePe@Xb5vc z*T0B+4<5mL$7XA;pkJzsZ{`UeYegqu@;yyB%)4&h>*4wab0Cpc9MA;1v@k^1yWq%m%lE z)`a1vvg6+rb0~(bc-PdboT-rFxRBKX+(51?U6V`YoX;Unj@O^^Y}WPJ>1^-JKVX}0 z*JMbwetnpszA5lGY42z~{>|GNvR5VAT~WYm(&$hv)cJT-jnt}GFZ1MY9pSu}KVjSm z07=sfC2YPwMG$1RoHvqz_47PQ-c;`c?iPIp+cz7)PzA_FuLdsC&_TdZB~5v6p9QIJ zZ;$2A&&=Gtyw%|sfG5A6|MAdA2@8#ydZ{z(Y!t+cU*l;|Y6je-$#bBoDF9hxnK%M9Sk@9XyShgt-q=7)C6 z&-CJ~4#xylNSZ8^y4QJ0aDiE_2+MiY;v#cOO^k1B$;akg{Z{V?h^6LFz#G%knpHZ~ z^z@TEXKjWP7v1_H;j6KWQ^Ptli*zO(?XgEcJ+xGGT*WS=S{G(I zOOA2Xm3ckJi~&-M%kVhfE-}>^zyt*J7Y-_FkmzC8#*@`;+>C8EiBIh9?M+@e?=UJ0 z7JF^CbEyi3vqKlXJQ9@a9o0F~e65q8HzhwuQCL)`HL`J6J{vpB?KSP8DJKmDYr-1B z6lW+ju!&)8{2XyNP7{J~X{5v_xCkx-L8!=g5MVe*w~YuRs6&%`T>`?SqLz+<0t{oK zVqA3A9i*N>ORKs;=5fgfEEY6|6oIFbFliPNwFXZJ_0RAfa`W#%=s{*t`ioF)Q3;(# zDQhYELP1V}fr-JWuZUm=fxZRj zgOE$a)e9-}mx8szDMJ-qUx3QKwJNLUmS#Ph_3+nYNwq}SS2aEZ$)p82Qv_$k@vAh5-}#TL8C2LQHu5xFETh% zVD`n4a7s0?A;5Qez?uw^joAc8q=?mBpd*~7Xf>C042c#-F+fI>K0)(GjqQgz$@oCC zfo(WLpCZhuQ4>a43=O3y*j76H=@jC#^l_#3a~33==%GgD^s$tIeew)E2w_d-v#_jL znWG~4``f(@v+yEFO{tI+OP$G)K`7z%=x^DU1p@S^7P;0+QhVEHW)1IHsWLcz>vR~o zIA2|>Gh;}B+atDb_C~gZfbgl)+RK$MKJ{Q}P}u4@7^g7|^&E!b6v|H_efxk++Qw8@ z!C}PIQe?v{TtChjv5FtNcKC_1=^0PF#8-3)bI=_`fitSLKXS{%*!Ds=*U$#e zh<%p!$zFxYBt_s}*-(1M4ptT!72pAf7kO+g*+h~o*A~zRx-?QzSEP?n^|8pFv|lYN z-{a9=U8RKFd=6>w8y)LdKktg}@%i%F{f%fz0&htH(^JVn-oC&6-DgF&7mghdqzjY0 zk~euP50|8(#t+*qBBKSP-+b(YmhM;|rgGYBTn=af9mR$AuWygKeXiR! zb&UdyYRMK7@)tpTvA=dlx^C>vL7H`-Rheug)Vth*d8i0`tz)VaM@MgIP)40?BXG*; z@5fcQoq$)q{nXWgtDI7;Rx3xMcbmM*q+~AH%T$rQ4ot!3Rg;7?SG~{2tYd}#2*}_F z%*?^2Lfu$f@d1p&#r!YbAHux_plgBD`!d7e!R3viv;55`HEaPJSJg`^yxsp^wKMtsRGpc@HWs-sAiq02U+=!U z@Co!?s8~CfvW%D)ZT}{1Wzi~3xr6R)y7OY4w(4%9)2DO4WBuhZGkNgFsRBwjL~7}M zsBF}jQIL0CUE`@%c{#CQ!1a@E_szQ7u1EQkPGEx@HF?kw%(?rwv+hCnMVst_urQi_ zv7@uL@hSjsE#v@HvHQuS>*t@>lRqA=)b0ve|JJ;7cVpD*)Tub-^m9;axWP92Dqa;* zbksfY;U?nC(tW4R)4w5m%_c;Ga%XI&LZMGY+F2_?{l>~|vS5OVh*dbhRyr#tsiZ|6@)CS*AAZ_W{Ms;348_&HfmY;6H+hiJ|?z$#mL+7xtqVcnqjUz%|F z$B!QgwBj6Tv8!S4@$Gq&##yM+|1Lv^E^PEtD)N*Z4VL(F78Bm}vuTPG60F+>Eb@BN zzF*=8^^BZWZQIzwnvL3kbr!f81K&X@*|^3=moZ_JByRBc@83X(11Llk5SVrpsT%uZ z!_h6;<3*8yD=S9v{5sK01rn~8eSSj(&@UZbjAUy!`D7KP_S~H-Na6hD>$*VSpdmaF zO`h`!6mYJ`BDF!#Dqk`MaNh+=ze&BY`ZF`1CMB}hE-fKyIm%MDI4oKJbx&I;CN=zt z^nhD!Kc)cCtn-tPy!5yGd#>h9-$L!rIWNJ`XmkvrjF+1O*qDnyX`eI-$=en3vxMVS zk@kuae@KqiYCVpv6 z7!FIbtkBpKpx?s7P-?ioa_Z06+}_e&*+}}5VcV}Z9>@>Z1kikf8aPUtohLF?-%cK= zBKS;Yw)K){HiqfD5-~d_YEk_YJW-Yn8N;Fu4)_DbOclWHAjy9SWkVvhVM-wUA`%N( zJ{?^52{i5MeKi%|;$n-4;2Pr^uVwBsA^AiPWZHLq8B>VtvoAu*n?h#5e%uOqsfvTV zy0+x27{dVFXWTe!ghbc&UiRmSPkIJL*a5|mr!gLMzJA~j`|VBf=Tmj=+0X6F4}#;* zNQlu9VZ*J}oN!ko5ej@Z3;l}L3^WXyg$+$hP17NwX;&vWJZ`S{C;T7BvPK zB-F!3&UZ*rkfvbwC6qo zVv?`qX`k6h2!Cm}>X3T*#C?uJy&4!<7>_CI9e2;EQRcL8y33UpMifQohNCl#;mH(Vv1%p9SHC} zX)-ji(PKdFG*7k0;sIY2W|i-he;w@z7)4^1Z+&X&>h5eTvanL|S$kI8<(NmlR(iNB zA=})K875{8>80_A?ee*llyVZH(k~OdJhDPOk@<-ocF)2|7B{~m$NmIh%n*h4EJiuK zX3#c7N1}l+q2W04UtoY7QZP`bvm9Kp^bRqVEdV@U2xk613kP*hUb-evzTvPY-4&Yr zu-RLwSb+%~q$~_0lrJAmtYDHd@A{P&&F<~{va6{fItn>jb|z$fygptDP~*2fiPIIb z(_ws{f^pwN&rV95FzQYChMn}!rKcRV{iG4ttd_d`uGRg}&E{2lw#Dk!d0!Q>;&FS)UOYo?)O4uI zTR{1!y|X76GQ!y;erwK!)%3c&p>gWk7RyNL>N(2Q!0Gl~$Sq8L_A=-!2~W!N_vX6z z;-DMj?1;-ezB#dp`-ND$`_U2oLHEHbZ})+2gz0)k_3Ee1BmvSg6=?oii>TtrYQIsD zAjYP|D1fqu3Hu!T9A&LFGDXv1<#7`?_;o`NH=Z0m9hxBqJoo)GYJ#yWtSH{oyO=hm ziX3ljdVPIb(A{z5k2&HtpWN<>pu4Gi!4x0v{PurA1;L909>=SzzMtOn=-j2AIc#@& znC*8g1RXCoc)MKpaE9FeUVn(o2|kZ=`S>v=>;tM)!4H+OGtXvyHU4jF^z9Ruzj;B< zkK6OJgV0Bm>C9uk;`++5@%(p<@?X#6um#ydva;WQ;oT0Gwj2{;^VPGB|ZgX zUgl{GQlDSb=>&*kWX9ng9|Tndpu#*@csqaHWf;4aJ!_S=<`XZOAEcAeTk4c4b?=)eF(V;nEH>&MO3 z{{xUgZ@yG2O-xMe-o4xR{bsXiBkFCCq7{A&lU1zeatMfrik%^OZ)xUyK3}O+KKt3v zHk-}S(b3JDHwQsrA!DUd*}i@IkkNnP!0^I+dP~m_27_j^`S8OJ7mLN|>FM$D@gY@j zO$avJ#!eU3ZfmpW0RS^IGZPaN&1SRP?OJFahM_TLV`F0&XKAmP=Xt~3y?tF9!D$mV zA%u1V@Z%r<*ji?TAlScuzs=3G`hM4SEj4)GefM=boxOYaZr{G$%7m;8W;oc`eT60U zvndw(kc@w6HprnfR0>!!DBq zW>9Xl>aOSHedpN0Cl`(#^9h**S<&}gpBYSPzFe4`0bzw>F9TR9V>E{WN%jJekV{rD8D`28@z+yOX6{DPuIim^zN{yS_n+xl|eL=W_kQ03Z;CdDnHa zB+b&yp%f_n^uZ?=pLsHebic7)a@ppIae%QuI+nQJosS&oXqX=vE#?bTqa!|{p5qUa z)NvdoB_&jAm8F>w!f~9y^X)iF2mu&rV5seC5Yi5vJj-m9Cqd5>3Q`gP9Y_#H006Cw zltL*Dk?r6GMjHc+>$uD@QV$?Bfgd=OaGqpo(rz`Hje45Kf@elc05kxgpG1jB3x$Fe zJr1)0Z1u-blvrEoEX~!mGXIab{l6<-DoJ91KtK@y!1w)9snqYqJj)0nma#U#APg{p zoO4XDQXm>FaQW)=sTVo=w7eOT$d5%FvgR9SIc-1Q49*s z2t*hf@O&Yfw!0Z{y4piYpp^kBkP;h-uu*_Hj0V0YkY{N(?iKTe(Lx@?$^4NcDO8
AGm!jNroME^7PXH03ZNKL_t)I=;?e(C59HhvKRPDscydq5p-S8_1q|q zqj=!E9-~yG8Npac$sA&&5<+mPkQ5LCDvgGQ1-{l=CkdsrP$~`jkq{g}D755CU`+>U z62}oEln@k29w)%}0>T(&4#X58l%)~E*!R6C&J557!Zec_peT+25c|))EJ?b}W=)E$ zP^uk!V&Ug09~1t@`{$lG+I!?+aeOAXZ+4&O20#4X-HeRvIAh19@4o5_V;?*A`MK}j z^-qsH_2k>;-~Oil8|gTDXy3gzd-r+&eE#3>zxCW7{N+8b$nMyT zOxwKkEh}$Z-_fiuj}}Tdowe!LfB%br4|eVO%q1^9bk6KGHy^z4b1h^@_G+#^#ziWT zAeqd#1W@Q^f6$576z3bLDLsU-k0B|v^@til0?j@1*loZ2!%IGJ_IZE&=Ns>RPvwGd zmBY<-=+s}n?*2kp{c7{%GrZ&d8M*a$;mEm_ceq|R2>CAa(W0|>7=AsMWS276b!oWK zT~8JV7ry5_+A}+MY#%88^zS^gZE?#PkL>Dwcz*8XcX3#rIkxvhzxR=iFZ^Bm_OJ*Pr>H&u&kjfs5m zjyvwU;y1+DYkdG_o2XN-*Ml3PnHj(OHx&6nPnSMOSRcyg)LY9BlN3xrj7SJ(dWq0dL9{$=|weA&z9|MGL^?|${! z=XF1liTAH;h*;3Z#{cMc%B9iI2oH|!;0@j_?yRWVsVwJHpqFp#?})EH?>|~+f9#9h zYmWZtvJ3e2zYiXG;Kf;088b|%v@Eq%pW8LIMSiwN$@aEdS-Gt{9SjDgQpwg`S)E3b zBv#sIF`wsoHXKH49mjE&WlKv-n>TOveLsq#A?a(so~`uXe){aZVHG1*!)ilUtN`7T zN{0_0ZZsPGe&0$*to+@s#Vy4ihT$+3e)w%_jj&eoZv6w4((&=}^Uptjetv#=dAZx| zS|Z;*ET7MJIvq=XTX0|%EcS&ELY9WNr*9c?t+fs22hW#tS*?qG(SE<5B#G7P*ehvA zBfI6W@%;UM-wNNY{>K(YwOXx0pCn%w9*J+-}fmczV9q2?x61w3K8k{d&D3kH8Ow^f-!+uF$k2D2ttQC6w@^2{d5p( z?zmKEVjx65mq!ruOgW*Wi~$A;ETnLbo8bZv7gD3?UBbUW--0w79&jSENY0Rb2N<#=T!DS{S1dK5w zQUFk;I#Q}sGNpnr1cbf%wXZ#~-Z*mX+4_1-MA1aG3d{JkV3<+>A;vUx94Q3Bgi;En z#0W9QY}+<4Mr%#2JO*Kgh|)?a1+=j%96}M7asZV}FeU^+NEC%iL12VbS}A~#k}}OA z%qc;EmLl%Uz{d^^JQlKQzEYa%_B*FeEp)nVAycU&Wz=V|AN5?vMG#_)T*uK`XGtoR zv^4=rE5XHoiNF8v$;UL>0G$i-8btkG7a}z}I;xe`=h4Z@sUYWOJX4a#@t|I>V~i;! zBO_G^L6X|uU?l_xKuakhV8&=|pq2(0Ujy+ZC7bVBq== z(om$S<2cy!jFckgLMn=oQW_dfGyqz<)bWU;h3ZDhKxV1ogg}a5J}epo9oLWIq*5vv z00bAB^LBkB81s-z5rz&fN`7#p6>^tQd%RE#7PQ}Qi?|dl_ZQX zmpPBE;=jY4S%Gmh$$jFG4D(!Z-@QLr1^P?D}Zo8B4#B*GVQIDq>A;O5Y zbPbP78kw)6cUX)=35r!!TT1#Mb#YVsO+xyp`JW@ z?^!)Jcj~dl%NN2kbJO3L8l2yn{K)7u*@C{(>zu5|t-eD*7H1=F02BnB%GhgA4u?|*+Be*Wn3`*uEg1-#^e()gX@cWeP?Tz=#oZ`u3U+@S*}cV1g# zGn~~NX9JGqN8B&_-8UxUb*lR1s_bh8H40$9RB9a>40I#mnFi+Q%A486#|qJj{>HiY zJ#$fZeB-K1n$LXvgdijuH*=r)lYVYz@pFG>9=^ZV#9I$Ma&BX$Joy?aJM%HPF$29?{gW{#&Cb#%AF6&PUztnjulFv0eKZx_ z^XR>FZf)w)$z#WkZoOdlo~y5aU88eb`w!XU{!=FvR#~RW)khoGX>$|wAZ=|lPDRTbsD?@gz2uPZ`UBM&EiYXhY>RqV zUj3TS0_AA^eNt&`EtMDvx}7+X_s8nW#ns=+jr@6Y{?UHFK`Eg~HoFAsM4K$2e?wlO zj$PCWPwH#_qSy1#as1-k>XzZQ?CdazCZEq+7-~b}DW%P3vs5aDVQ59|R<*(yv)xrz z@NK7pR;!iI=WUf$6h-!t*8d}fsMTuqdj0(K&$m#1s0kUmX@~VvLsMFkBv#34qxvnA z9fsld?b}C3M;T)eKKP(5&x+&N7PVSY(6GPBX4F`bkEPb^>jptksZ?zI{Ei(vwr$%s zH#hg(bI(2f^wS8TN~I!%5JIf4uMZPoY!;dAl!Xx1YPIK{d(MVw4vVN9$JyA}un)5r zmJkw#VYl1$ec$Trvn;dYhxG~c`+X~LvhaE++bt9d?RMLOZ>t3wM%kQq-gyr^@IbHE zYcv}9e13Lzc5-sk`hbTr8%zA#$-x?AhasExt+WX?cFY($eJx%Of`C$Ll}L6xv#CCN z_UzfYb7#BVK6vopu<>ekc6N1j)hf6KgTXNB)UHRY6Tq4dufP6!&-3oS`)+G>u=mf; zkhnpVQpa@wkXgpHlD?N4Iz1?50B8seA(UtTm$^3$x9uv+M8DC_X7y{Y-Jbp=C&@YK zNC<%tNTg9Z1yPa5=2EC&6;(EcT6Mj*snCB4R)c zf`t$`0cZT#Fq+Z`!75Q4%S6|c{-96Jc3Pcgy}i4+1xyL0kr)68&Lm@sbL7G^KtyDo z0|93Ym=Yo^i9ilLAV{UGb&SDmXO;ly60NPS^+)}Ei}P|a-rn4fg+yaLl0lTQ6oMOT z(V9`e55s|#T1VPC%cTGY1k8CaIp-|=c^5)S&N(Tbl?7MAm6i1ahYklZArghCbS|Ys zEb~lCsiL^Fj&oLtQ)`X4mIEh`obxz}2+Mp7}Yifm$xQ(Pi&^ioRIY{bOl>ZsT4?F=U)!htErQ7oM;VjXevzAPjc^(bOo zcm5?fqHRIrsoF(riFeohoG3OM6dTVAl9)Y)==FEI&iQ%xC zR*XX;R6;O-g}HfNsT4vRfTG9;`3P;Hq-->27=ZJ>G^O>97>lAP^twe+M2Iu3nQSz; zd~su2>PfE`E8T9-tPci`fmXr+B9PJ&5ryD`-fohl7SVbXaimmatli!1Gk{2_R7Xlm z2@H)RW(1N)l#ELz)3}029H8)!7lkP&c9Jup7?;50I4hJIInK>!ylqDlrBO#(X(pIf znk;G|(>QK7ngFnG-@fggoztgJce~x$xw*Z2_g3pQ#@M7ROg=&9IOp|tOK{%Z*@=}F zQXuE#86gs9W9h@6TqXdtVnh>WdAouh0YFKKoRcS!bKmPB5|@A;Jz|L%5ojF=At%Ma zl#T&dUM7{OTCD*vYb^(!ruDKkjB%k;BIX@aQVQ{1q`!CGo;cw<`)1lR{im|W*Tsqb zgZ{IT~o|8z38pIra+&z*kfpRIiGhgN^M1plYwkLb&yEGN<9(c5c3-TIev`#-Sf z{J*`hLEE4D%-`&a?$55DeDQ03@T$o$d-Usnf$O(iEZ@8M0H}ZadqdM;-IewK^z)B? z<^9904|k6J==Z(oMn1EOS02Chginq>0!c6WL&`P8NPi`6|l z^IHc`3}>zq*WC8Xt3H)pc>BkG?%lDsqE0tQ4xP)ML&0zpl*>GuRr?q>D8c-J@pmFGhZBeo5?h4o;#& zoB6rhBp#di`#XydzwXW5&wZu2aN`TsR^BH+{y{r15!Z_1^fi~%D?g!bUQJRrQ+^a! zM*j5K-*lCm_+5YZs_Pzn{KAiXonC!qy?xjDH$;Bnq5MyCd0pK74_Wfh+h!@sGs^Q= zJrUV&Nce;=7&Gg9=cLOc2aH1u>X(~j-12h2_<$V!YHDsOz+V!c(Aiq&2o!g<7yeID zCvE9HPqQf9_ZNrcOVaVt?!JG}dskO3zrm#K1v9f_^HfS6{Z#CJO_Yni{$HDOXO~i4 zCjhvbiC^Jv%fP4L`Qq;bl^)n=t#!NIUS3`fiuOjM5nyGlRzt+i&CT%hz|aRE7$h-q z90v_g0FFUK9$QTo%0s6d=g>ySdNEMu(I zY6Vhx8u}i%{E$8wv@rn_OcxI;1b#Z;?~t|`goyk1?^jBlJbCiWnKRd1a}DQwcXu}c z=nxA-L;*Ah3|$n(kt0V!RAq<;3g>z7;K86u8jr_ey6ASh&1N%fR)mWgG?PMz(P$Ld z^nm`eEDKVcJkNvIdC#6bVG;|{sU%54)X$sV^rl{~_m!`FWipv$S$5{knWd$rsl#}7 zb~d~+oL->S1C9?WouIQ1H$9N_VXVrsEbPeyjeZydLMBgHmY@Ip=O23LAt6M_<`2F=Vhc3k-T?| z5o0WlQ}0BObP2(Upe#(S)^N@fp;D3e&U?qXtT$R7os^sijVYb?Qp!Bb02mPi1OQ}V zLY+*8y7BL<918K;R#<7T9EE#OZEbC5ck}G=6HOspX`0nE&n6auF=njgf`yL>Z%v#gXZ&_V)Jna5&t*fB&NsV)X&Kk5_F{P9eLPil|Acf@rlXCk1CHUTZpQLenCh?R=j2Q2X%eH! zIBPT-Xsstk){!UTQVRC)BM)D7_;59?j>ltfT~Xxaq^KnobmW21S)U_%kOUflAt9%T zvnYw8dPSsheYSadr+cNs?%#v&ke<>IKKHSI%8LcaF;9>V11&{<4>!s8lYVIpv56 zMjl825C>#<>CD-^2ljgc5K?;DE&Gg%IF5tNju6TFNUAihFve_AI_Cu=&QNlJgy=na zWJnyil+rph*1Npu4@Xi6omL_hEzZx3nJ9q)FafBY7m)~my^OQodnLr-0|)o-+xPS{ z&#bJk_51y~+1aJNdv&7{X~muk9#&EYDWoG}=tEc+J^T5@7-xcU#u*_YB3Vz~m(~^@ z2@!y4!m83*M@V43Q%rC!lC;8rp@(L>RjW2^X-XV`@Pxn^i*$_0&||e)l_KU$hU&h+ z+6@$W?I} z+B0>z6o0Gn*b82En~Edx87Y)}>Be0jsJ!pVAN}5!4BnPLYBo1MeE-5D_s;F!PP?DJ z`iZ^EJ5&fUx&7MHAA9@m+RBZ3#?{TL+pQiwxAcM=o_RWZ>wP=*A>VPl7AN&uRo2M( z8d1&p3i9spnNy#*W_;Z(-)h^dj{NbbAAjq+{_<2cyZ(Xs!@IPwcbJ&1PAPR`IBK6g z^;Ea_Bk>!-{?_p)A5Y&k;v`15U8&xH!`RxHWOks$pKH=eri$rwx9nei=$J1p{z87; z(;KoWH*ddY!1rHUJ<0vOfAjv`;bv$1Rj+dXuTptm@>P-V%<&2eYZ(5e#kpr@n|u2Czqqo=t>2aF<9|KSj<7WIzuW1)ZNQW5 z{(-HsXUUy+y#6)9X*~eRyH;z<}3fBb^%# zhnU-93;C0rNm&Rkz(*NqB~$_OZv;6K4ktgzWP^?RuFNvwv8r{G5BbKI_J83@|F`xP z-p;-Eu-~Ng>G{vE?Qb-PFRJv+tNX^oXa4$?jrRFpUhTR9lhc*jryGAU#!wpuN%b+6Y8%zA+1 ztE;QwWm;=%t@pmwY6UPIUKT~sltP}FnF#|xP~C*r1jHFs-~lU#y@i0(gG^{LnS|!1 z5Y)ptKXBl{=H_OQ>?cVw91cVC>$JP-+r75Nm>~WMQt}|%ogOsA2i<)0&F9XYd-&mp zuf6u#D_5=r#s9RvH?+5g({s*Uym)cyGzdvJp-gI;I63tI1Z}#tcADxFa*E)&^4-k1BKU*$K%=A*&uKVdYh1NAIfxhc6NjicinZDF=lOTZEI`m#EBDgb8`y|3sDs9 z?CgY%j&{4v7z+R$o~!Yi>Vv~l)3~H*NPqa%bYf{V8ew({5ub?I>2%<^CfeY{2nqVZ zq7WiGjWJ=C2#*jVZf$LG&If~ml(NxighjrSPrFBQ9+ei>S*bbWsI<^bX(h9KG#-!B zw8=Ru%fdMaz=)v83&uhYlHr^QA<={P$hinr5Qs!T-h1ynV}Z;DA`lE15gC(@M)jmx zjT6ZLk%Z*LkTEU<2LeO_21XDe2?8!a31EOkF3*N`f_YgYq9qn3sYlAJG3cw2VuHKU znz95@PHbV7k#R)e5kPRBm4!kjl_CISq1Fn?+weRCk#|^2E7xClbbGUU`uK@#IO^1@ zhYuaRkmqO$;M{sIy;oXsLdKxm>m}avTp8y;NU4+~#GDub115kA&WSvt_s&I9P-!^< z0HF7!u}&-WXo`}EVyzW$bOc-=aOa6}Sr!vzy(1%G&0} z#%MTfG@JAD^J%q04!9I?nvTb#u+e1EkMaov20+X^B4pl=Mk8_vL{bPXl@f|GRud{K zeSeSz%?=3e8948?)?5l?5XBKgG^NQ(i`K_c#EG);IHcWctyHA)yyQ+KaV@PRNtDdZ z>^pbvWLZq?vo4o3n~ds_%F3*oCXrS}F)3~F{O8{TfU|Bq9sw_)DC>-aF@wvGsa`b2c0fy`y@)&KVEg%XwZ_Dpkf=QIt^}RVvl8EaN0$ z-Xmw|yekV7(vJq)+gsRlSvE_*Je(Dw=Zp*BWnl=>J0gbwAf=F8s)*}2@kCniI8G6Oh&UIqinA

>&-kWwFkB5H`i?#9hua3X?Qx~89=4-BBy!V@D z4*95h_@FDfa4Par^d_S{@zRSf-2Jf!Kasv>gMQe^&sO7msthuXk^EXitkw1BW3Hu) zc$}n-8E}BZ-5y(UY}a0h4;7PiDZ98L&wlmZ$LEKmah4auiCKUBWbmR*uVrIYh2Y=-YRi?4+r8*-Ovd_Tjs~RtWtmxxQEX3S-haw5hR6 zM%KA192$cQB8s5DxwF0fwzJ7K!`oYx<0lWE8XT(fONaJcs$Vt#iboHA?#3tFk$uVk zBP_$WPnw@g=v+h&h2T;O0F3sTg=19zg7W{O%!^zj)RT1Q)h@4~83*cHBOaHcuRERZhh>d^&F*I(+WnYh8)OUB&H(&z^ni zz>D*-5a7`g32~7pCv+?%y!?5yng}662uzYB0qq4!JMh!q`+mP4EUndQwbg0`b~*G_ z1>Hpx=(`R803ZNKL_t)Dc&}6{L6s4}{ZvCA6#Ucl^x<$AnpuM*b1)bLa9Nh+G$&^o zni()zkd6fOtdxqPsL^PQMx%h;_w3oTySuBk=A4H##*qCI5NCM%6ljKVVj9{rg{NU= z2%7+Dn(o`TZ!(!IFE57_%cDn+KK0a7!73VNhG{DQ#>Pefsnf8?DP0|?@!+!xr#ChG zh82RiCFtD))f?ukaKfX}C*jQUz+uhv_eZ3*; zBEa!rX^o<2GMP*hGyf?B`8lD~x7QK}r@^#3cbbwJ{^4O53rkHyb*6sksjnm4yJ?TX z^ta&&%&6Z%0cdIA@%BgLzT<;KDT=KzN%~Yja5qH{UcP1YN##_Wb!1r%7>~z08|%z@Ep#c>bMd``6Rn?<;r-R zc|u~GG4za(0RUNak^meEA)Q0x3P93QF<@w|FYRcYjhthMQYbBzU@Xj(48RzZ8{^4) z07qURI0ghvNX>;PN;95JbXKX9M%APM4v5Zq^v+omdjS9reQB(5#v=g-Vyxfo)?3Zn zZ@+!_$dTpc<&Dja#3yK+cRH>(K)!C6IH6K7{U9604QgT&}FHoH_kunns<@Eaw~%n$6b2{F30p zd*{#+G5`*Y0elzrTXD`_+S|7EnNCCAHW@u4d~>vLY~zj#;_u1vpDNs6HvXJy>M8l? za%~2QMLLaj%@o+(9zFKxlMj9Uf&KgU#%aXLSb;FS{+=Qnd z7`$vl-uE%F_}c8`~OXA z!VQ6DU?-t|iV>8Hw+vogUcCRF-J{jv$+yhj^y>SbICLOiSjBq=!_&#O-!r~()WxE6 zzFBx%sp}^nJu~Y4{N3ODtUsgNhZU^U5k~{!6BTS?aW>EwQv0K%YVN3%st{qdgZC8-i@H5BEfn|?OT;w z2R(KEkl5Qi-Qe-gTQ>ySF**MhbM&aY)!Siz^v#KDr!|FG-Hm0vm6>Ar)7hn!&2i}m zm;>NAj?^(d-1AL>zS;P_m%3M;JbiZGOC`bEcYI{P+=is6eMyY2ore05~s z*t&hW`tXi8C&_~&j1*5hs!^}X>zd$@auYG0d{d}NM-r0&6)7t!vYfU=G3LzuH!l8j z+MO+|q~nM7)!D`P@a5Ad_OAX-vUKg`*WP%hb|8B6_50iHwtrtba@i}kxAvEiPe!Ih zB#y-0B9^Zjz{>OUs0UqpK=vU@Aq3S2AL`Uj8c=TthY8!_Q!YHf_n`4$j0Lq%=t-T% z=YPA@K4iI^KYxDTzI}n~4N{*#kWWMR!?{iEwn26uI#81&sn_c}J3B#y6BIQ;6cmP# z!C){RkE_*cP}EGbdV&T$#CHZVei~C9Rt~jIaU6#p-{s}ykb86N*s=BX^~;wphf@mh zJ$$pgyd0GDffo<^0Moe1AZ?#+O$4+(MaUO&qE?l^L`EsYz2}NMdW^Z6 zBG@g$3SnNF#)AkUf)vUaQ>j#fG;4Z@FdIzAiK!^-I~$t82=Q#{ZDh20~DIpjGDY)=RLdC!U84+;7 zMWfkix7wyOyIWn8=lLib4<>08lLy6xmXZM{BoeHQKxicqIAg>)tmg?HY2 z&X6I_&CbrW+q?b#+S*$8`0+-odGO%DD2_^Fde&B}RS`#(N-8+dv&=dZE6o^LbPNf} z1Cn6jd{_>iNug^MpXCCvQmt_Yf^)5ucaD3i2yH!FcjMK25AEx2ZJ#)CD$jDQG!R={ ztnT*uMNtUBtaFo5=B(T4dM-q*5>;#Zz@h7w_Ur*DzV)q#FJ8GYGgINh?DR%b@S?Qz zy!&gPbpE;tj; zc?N=ztha~=j2mMErsiA#Fk>uQ-kEIzKyPciS!>jn_7;<(D9dhln-TSCW<0Wc`z(C z2^QuT9OFCvA^O}K=bd9j96dt>L_)OWh=>s=E)Wq2kkAo&Ad-RzyyC=UUY6c_A~4ov zd65)FY3y)!cf^Hdf-#VU&X{bNGsX!BiG&oDG}Up$gkXZB$3ef(01h5Fuzz7`XLD;~ zYjg9`^3L+w%xq`h{{3c>Nu_iYg~~c0!bm#KnN&)|0vI6zQ5)P$_R+TcT;~YFgO7I z%;Id`G1dNwo-?y}pt@2M`=tPVJz~n`_qf*|U+nRN(R^>mJ@!}uP-MQ?U441dd)SIw zpFAVf+a6u|=579^tNPqremO5@KL&Rk+&lZir58kh`=(bmtG_#Ue6W4b|GlT)U8yB| z_HDh`SHJ$ug{=0>?99uNcNbr^^5Edo+bAmI^hmcc@2pWO(_2sT!A7O&l68Xk_~5nU z(fKM}K9bpcs|WD2Zq6Ki*_q4g<>RhW*S5sL+gHEP-i_qo>}n@#wwr)!Bt>jy)|KgXrl>^Y!te zQI*QS+T8w;SNBI}Pd!uQ+o;BsPODarxpAi%8#V4;$ZkA$!;|kiu~KZ0C-cL`PYBg^ zkZ0M(^(I>w7Ekobot=%Bf^m(6iiNKgc_AwC<j%6X~Fvaq|UCba)yH+EjDT^v)`EA zSZM8kq>QiLdQrW13tv5V>xpv}9>2)n_~3AUe!db{&8g!1Iz720*M~brF_Bt<;^r!| z^TrZ>ZO`+?-%nv*NOGK}paiNoghd9aMyNLmIIr1khR)YOs0Yo7);dX&5TrQ8qf;?` z*c=F$Z!{WhY;1(KqY#H5*ywM^e1UbIzA<3vz{KzF?v`cQ>-9qUl-4?AdWOA-fBF+9 zH+&zs>Lf|R zKR+xO_C~^0o$eZ>`VrKR3@G&+0g>cfYdi>IdJeq#+XT#YptC1=y{;B9S^# zIvb6*H#fJ}H&O&*B9h!2x4yPMnPfzSi~%qY;DH#RM;8et37mD_ArM1PTIm3t&{^vo zw~k4{85`%B;KCLKI?n+(Fs-#m^oZ6uPo4mPv(h?KI#=4^c%qextJPFSomM;MA}1hV z0zje{-UISTYc2#4HR|;}OG}rpTv=IJd93@`-o1P0=H^0LV8OfqiKTPS$w(q+&N?L2 zQc4{$MDGzemr@QmaK_1@<$|Mt7@V;MvjWk3Yta-1FS6{^eP3!d8(QnZVCbArlC)N> zYZrN~o z_m?uQTJI7;#&3k<|~ zoJDc7EN%EG^xl<);XsjAjB%|LV;l&i&`a|Rh`4-tc|t>HY%x+%}$giqq6kq zg%k`JR}!7`9ubH$&IuWUQo1zRi4!Nb*VYrIMK-~r6pWd&oB-@>jhuB9lHDW`0Ovw* z!8v*7%50*90N`j{_)KApO90LYVJg!@V+=Yc7*C>zb3s6vDXe$MS?(+{FwPWZDTs)` zT9@ZEo@ABLSj8z1qX<9%Nt{0$C`+&HQsvyHyrkzcZgnyP=yUh-$nhk zoUuQzx8o9DcI0T%oG%~w?0wxY+_(6^!G&WBbM=QtcjoJVbJO`7FSH)4sqI@E$$sOu z&z*a!(>i+f;g>x6_?1@c|61DH@BjQy^?&x*<)il>iC(cn1%Kp^4}9^+jmH+Qdb9ar z|JNsP{K49#kBWO}zVn?kdgR7ydXv-p_IzsZ`F?d@ zBU#&T^EAtC{-Fsy%+RsHxR?OesxkMG{w1$cHCydWW5E znZ<{z`|@S>`lZ>IHd~9w#jh>D@|P|M{OBF#^FRKdeqeM;_|^Awe^LusXQ&1{FrN4fzEeR`vuOSn2a|2FW(t{ zZ#S2Na)R>8?4hr^^kL_2D3Q8m-1@}}C+>ahmgKWss*H8a=+5EAO18dUpFo;OF+f9;Wc6K%(?9fviq&Q(Vm<9w*2b(EA4$ZrP`!CCKb#*li zJOPx4oSZDnrb|tk>~QoDh7&GJ5CMd9E6XyZ$At8oaG+@;6(WXsqUpR5uErEV7ex`w z24MsW$C@4@yfL^YLNra9ruBL~m;r(@#6aW`r_i^?Cfk9%z}hz z+WZxUoavksc15Bn3g6Q|rBu`OUDMGbJPdIhx7%$Z8jVKl>+7dapRQCY^YimT^%OQz zn$704&hy*v#dlbH8L60ox0V=*EVH)El#Dn@4kFeO7eIuJP%xpi=29ACl;9Y})g(=# z2%Rg*+tLF9L*Sh2Bw~zvPsY34IAgpcNRs;O>>@DfoZsE;_WHY>PG>kCbE#_0x=0j= zh`63uL}1975QsoP3=~sBDy366j7}zqZqkhA)SXY380B{Ap~+F@IW3t5kx}WaP0c|`T2_%FK%yb z4f=!5Y-e_14wA?t0ud8jYRwq4rj(MCU_Pj`7$?S%Q5iJO3Yd_9P%@92P-yU^s;QQB ziv(3U=Mq;IrL(n09SI1*1C6rW6EMzAX^<58AZtM$TrPml>wn8~52 zl4>1S2b1yW^Z)S0@44%)8n7!XtFsGB8%0@3)7(>>RC6sOq>dqQQhh?laF7@JK9h?{_w~F3XKc z(b~IrJf0{Od+Rv@I-6FLonqAPv?wz|h)4)T%#8)|l8Z`QFY%mJcjx13tCFfnm%XCg%|xP=Ru&KiN5O~z5(;1p z7&1-_<0QTA*wMjgaPjiRvzN|9Nj$qSyZ6Apna&I`A43{NQC^na?OwHBmr7bdbSmU3a~s-^noLrF)?xZ0?FuFsc$-#2u@xEIIzwdBMuE*`+f-k2&3#BIz4_*w*Vos#wzkfnKY!)Q zl|zRP1)LqO^K`%n*JoPMWsC`CfN;WLAPMQB;oQQN4B4PZj~)%(y$Ifk@_M)*JM)Jj?TJx7X!T z%rET8jWs5ZQYj=S1j!i(hMs~<9*7t)DFj!*fP`RCq=C_Jn8cNoxxxc;h~$it(s=`9 zNwOT#Nohe45inpLI6SLt=0u8!p>su%ce}fr+uIwP0-#xIRFfz#M}U;&Sy8fVGB)0G zCXj%DF~-AFhaflrXROn1dnUGf1Lrg6sVoZ)#1NTB@}8_EMAE=L7mNdEj57j`K#q_& z1Tiz?;20nQ7m_hAfiWa(Mv>5k_ZS02+@0E&0si4tCbhta_i>S z=H*M5Rxe-K>2_-~%~ofo*=!0S$a`Wui4&x-+lIlkhztmb5dg6ui33iA!~|!Y5l2hl z$uq`4@-nxKfOFv}$SfEjat1ny0GTgJE~R&#Ggg!%p(x9TjDfL?Gaw-63qX{rm86|o zeMyO#^^3!7R6g(edtPQ`TB**@ErKkq&Bj?yXgOnya#JF5uDFeKWSkw3v(h}BWl$Vl z7jAJ6PH=}8cY?bG1|JAASbz{LcyM=ppZ0@d@e<1g*2Z^2F0hhXNyoK+nDGBP^v%WN0iAR3_bLd?jJ zuLJty0y8ZaJZ#+X(A)Ng9@;U-O~>pMn3l2AyV}RTPsmk83__v86e$#mA!1`GoP30R z(;v$v_wb}}S;@3zX*?V|ZBkch+Jji;Jy`@qg=T@#R<-*H_JBKiGZX67k6+CDPf(=@E}y zL*_mDve4iy8r|$XcbjyQgdbg|HY)`cVyq8f`^FkBFkREv9e^XLTL1Xsv`&(7}OZ@(K-$%UH(-Y6r^}9TP z#dg-=^sq0Ed-TT(J{99WQKlFEu6M()l0BF$(s%c5Gu5ik^|>$Z*@2nw_MPl4Nq&gam#V4mx;$&&-K<(>-D%sVgD_oz4dPF?r9f1L0D=(G<5m$qB`DPYBz;+ z<>{OBYdju&>ag>A&Z)y3JNG`Wlh*q%JyP2HATm;ZEl>Q(juI}Ja+B}cEN5DLt*3W*2>~6=aCxc6 za*dr_3tgVKXWy>we!SFPFFibL3e4WD*;PNi2u>l`>wDyyc6wRC54XQ?YU+A^`?8Yp z;llheI*voS>$1_zrpwu@!fn=sR{HX>RXZ&<6Hh|yb!lL+y(rW!dF=eVz+@RbVwpTn z|3%$tk7RVaZvgjoVb;1z?0mMo>&9tKa!^C#%U0ppy#?cF)kBJ;S>Q(bV~Iu_O^f`< zJTUcVJr2#`fj_F6T~8$#rBwJmXV5q<7H7TgXxz@7Zt-;8Hx&A0>u&uP%iG%tN?4GL z#h{QILhN_>)ZfQ(WU?NZbJA&~W=DV@#8rKNvJp{XBkJ|~(wbMr`J9_;KPvFo%O7~i`%!}>j=b?UOq4f!`D-;@RABEYJpRf4*Ao9Yi;JS7 z%5ewsXIb7~@>f4&nb=O{f1~2_ZOTOD;s*)rl9TOKxb4e0J2)6ZMR}Pn;!`it~;-?N&L;Y;IZ@3p!mQ~T!X z^bDs*nU4|qBD$!|$#ng16`Ak_r8T~!Cs}e%dRYixpuAK1^*iK0J2g%|Szn;7@~)HTi_I=&4Of%y-)_u{fq!pId~ciQA!qFC@Rf1+if~YqWi??M4{~*^gT}3vvs_4In79W%`Tc;wPuwtRV0WYCN7@C68B!Ty&?RBQM z9WM#Qw(N~W^(!A5J|ZF;1(O^bTfLwPRewuoVBA;{FN$D@950%V;kI{G>eLc3=#ydY zj$-D{M8Z=TNz}(6vOh&KY#9m)U}d&c{`(G722C(8FCQPDpkPBsU0p-N3fdnG9xk5TpY$5to@=Vp_?uAxDKV z5JrlJ;TQG@M9_Tz(}#refj|D$22sYL99$L3E5{;M;*@-~8NBNlK$v?uy17#dO-p3< zW^XgaWb9r!@f6uovV?6?1{><}+O_oc^~i&cQ`K3Mz(0AfshTO2xc9;mbveqVCn0U| zTO!76QPZ5Ht%#h8B&QDp)Xh4iUZvf{zj)dM&Au)1yD5NMG$dBY*CgDaQm@_KUL}{cD8-V<@+LnrEe(q~)g^UGra_1` z^{vZaGIx_^+B>RwZ4mtwlS*lDkK3EU8bYpWZk-=t_{;$9I{zH`R(6emBqKjX2_8)$;?o8J+ z&n(bjO=f};h7k9#mMPiYEU}dcEyn>k-hN1ZYsV7VNqk%!IxKk%XA5_uV%bqVo)IPp zCXlhqazp@?2RqUbu+bsbbcuu68A({b*1=x1D7IoeK*|6`vT`(Ir>1^0ywvPN((&1wCaAhPtKLXL0eCiS| zae^QG9d+`#NdHfGT;lQ{iAzm!k8&Rl=; za~oe}@iR{$jV{QmWv^4KfM45u**p}se_2L!3ahQX_!mrQx-ep7f8a7b?jJI`y72lC z7wCV`n*O|&#W6s`QO7r+ z$yaf|qGN@CLjpq{_g2KDx@H1o#h0RkK(3?X)YlK`k21MQOwp)wbMK}u>)-)qY#%E1 z>N$@9UyyuM*q#;(g9ty9&0^&^01k0BK;D_$Gbx1mvEvim^Esh z=RZgBP*2){=Ir-lua>sP0n2Dgmp#>^9S}8{8(HFj+bS5=X<9~6$f91*pM~j}aQbAK z&WDGGH#ZC1FPm7`xu1Zq6vxwe<{<#=D_`-*^mO0Y3?>Z+k?ZcgSPyuLf_pm~ou-g5bO z%{Nr@EvDnPu1%0}l>szo@mEa@iZ3 z!f;@QzLcy$dkVh@Ee;AMXUaC}TE2ku{%mm^BAYv@q|TC@I`E)6#i&e{V9tIAiPN6P z9!cW=PQsQSKZ3z7k7E#T41f%Ev3P+lJ9sz6q9?5*#M-Jn&7J@|_|fkB3q9%Ntn%jPE{ zB90=6Rl5{pN141ZTNHOkjV(?FKiKuCHNr5HoiFi$C0oj7s|oyyxv^eQm4m1?;O*4IvWFIP@moE z%}T{!qMO2}FtRu-!NM8V!dNAQ^($(nUp5(}SaI@Y&=5Mbt^v{1f{AEtHTj+oN%ry> zRx-h?wg?1CgatTc4naZuZF&DGWtCFZ_K?W23-;I)t`kLN@(o-C>umqkB8KdMdF4d5 zl%w$}L_Zt81#-vG&tY#gXX+b1Wdu{n!PT3G)<0>JFxc*_g?nU<0!liR9T{iK5F8#53 zD1WcMM$AD}5oXYigZL;W`fXrZloml`>iEYxN{m=YQD|(F#LQ&qBTgz{(`;*(L&Tj?-oFYQK}U0qi9IpYz^lE`jh+yspEF zj*njUXM6fL0fm%O190ASvbeMXA+=@*{Qd6fT8-OYb>~J!o{8_>h0{u#@29;<>)cG> zVf!7~M@o72;AxPtX+C6@d-D2Qiv3kJYU&a#;CA>uO|oXIHqu-4=lv*i+1g?F01dcP zQ}A0V;YX{@Yg)g33L8Bk$9t`R>wVch)sY(OBAQh*@S1tM>QQU^r&Cu~S5*#Nfj-~x z!#^5TwD0d)*`K|z;}bOVJ)OO^xrFup`!6tH$1}iZd5%lkHHa+oF!$P5fCW$VOQ8P| zrCGquQFX`u-tkfT$-UW@bE37`)t?6#r}}0I>DHEFDj87`2VVDZx z`Qd`$iH2#R!#|lw!^CvGIwJY=L4y*iu0el|hp}V4^ZDam8=pJhX*MLz47+op+VA|+ zGqRYh4|kkXU>ip>mf?-gUxQmtF6+FiDk?Dri9J^^MXQc}{$ z|9f$*J86#u8Pd|}j$|6~+Hv`O`Ra&|@-`QuYX|o`E)7C0My7xH_<8=&4Jgp&<(U~9 zXJ=&*$w5bU04ZVg6{K>`vH7IhNPi*}9S=9w|F|0OudsNI1`tHcg#1ca%|4L;47}JL z=zgzsp-rq8%9TV{rvHhA44pAf1*Y^Fl97v`>ug6Q@he?YFtv9 zRbkTRU1BX=RIJ`G@e;lk(i;k0tk`6Vh65F5suE%pDBbtHRJ?3L#p674R1mfUv2gAj zh&X~*PLu+bqCqJX0~$1S+ozH&m^msKui9mXg*2@EA2c~UKP(*-KKCPzHq5fG5Z>4i zZg)_u2eBbkzF~JLN|GZ2qPjn|z(g9X^vaEV%4`LQ3UL&yvhqNLw2cXqx$!@Qsxtym zgD$A7VfEWQ1;a_X99fwRWd@ebtz6N6Dlt)~ClyI#NjHIY#mEo1m?g*%THOOJrN_oHDF zEe_2=hBDMZtB?SSScJm*E)1hgA&DO(Ik1(>cxhqf?(N_Z?%M`oYp+UB9@(*LHBK3p zp!N8IA7s~H_Pma`PKo>xijS6h<}yZ4YEU*)&zaIoCNqE6M;C*XxoeoV_dDX9^XFJ@ z*RmppDtnwy-kDb9h@`+B9EF6#OpGvj;jL!_2pQ8suuT51jzAdunNNnRp(0{7d2dv0Mk(|DdGBMdZMG&nVZ=eI6D0meev@;2o;xbgMJ^GheN zpc@hBSA}57Q6WJ{K|f^WFx+xWF2Z#Ys*cjiNs@|N=i(d_2on{5kqznOldJleP~W-1 z3c;AH0w7Fg*k@&GI)$heMdj&FwhrN6+bfLO@Z!Ycjc`Y}cf2!2Xf*3ujM+$s5eVn+ zTDI_!iGOTAv?VI$+S5-O09tSi0#~%L=KxG@d-#=iNeKYKO5C?L3g#?`~5LAn8qmPS{}Y_TQcpKGh=WsVq&^XSOv`N>GPNhG)tuA zU6-94?s-{_4K=@i-RK%MlXgh|S}^DI*|FHs=X~rcVh*l!y#%v3bCy$LIwAGB-T%Vp ze}9cV`**)mculmJSwix4#{NH3#w$}8q0my?HM0GKsQuzPG#QoFlx>kk%~he}L0rF! zYUqduekD--Q=>BeXLA-D*lxUT==4g6TH3PPcqpaCXvin5c^};ptqVTw_o^6qbZui> zOA7`}3h*p-o-I7DStqD{S*O6A4FQRk)=vs|s`{R8E-n3%c#G@KXr?`-G6l}(W*;-o ze(Lz93Z(g5gx&Oa)1;(ts^U`2OuJnV1vJ0VR=)Z0JP)51*6`&%N^3tjNg7~K=bB9QZPQpOl^TTLJecd zTVcEw^O07_THEr858xILK6`rWpwCWXglwR(WT9n$VliM!4nV3cZ+tq}&#Egb8X#O* zDOTEr%=MKX>q?GqbPt-=YGPY%mTOz)^yuCiLKu}*$BiQIWnK7#dXcT7Q0=^Pd4P+P z)26a~_UGtReH&x@RTBxXl$0rVIv$k>ZzAR*Ps7n?RM9z^&su8+CtY0GKApL%ZTP)S z@6i^K^rYo64sLw(x*cy6Z=;UaAgE9WGm&^pY%c6BbmA5g+{HGFiOm}P^~&sie#9igWGiwyNSVf5 zLiB$tTVddNPc}S(3}pJ;t@pD&jbP^3|1p*d-Q2Ds-%Q%b*k)j+-00-XQsBUv;Ixs` z45Z%lCUO{-AFFv_*o5#F>43Yy9o{A*APWj68NdTrKROcp01b#%ODP+7o+iP9mjYF zW`p@D69zu1fc>0ZVgjH8iFb*rc+Ly;uf%Vo`FW6IR0W1-d>aO_XuTNH|qG& zQ>~Mi>3{AZN4~%TqdpG~B#=o>y*9+xAI4f+TkpDG;c`)TU3Z;;6Ivs8kM{W=dLBT1 z9N}(12F@F`0`jlNl(EC#Xxxq2>X_zdH%fJ}QaFX8v|H5@1$wn9>0Omn4A`~Dl9|}1 zVqL~qQ{|9;pfNVQ1);9Yg0*`kNgLQUnGjbJ3?7*Ia6Zqa~a3MUo|*{MeuU(RnH z7H^4_f@NC~o&s)T#j)$9hJ{bH>Vdbt;}fk!JtZ}4Gns}zl7)kbm-c;z_JR}QvvyG5 zec#TQA;dsbC{xdWg9K6_8GzLYeqcKj^(#`_PtlaB^hK(c5k z4l>O2fHHk=;-PXg_oosvAIfQEdavBMF6NmzikXLLu>B;H zD@y*!o9(vi{Py9myPyTPB5uDHQ>-lty}}T_*-wcP0y@rAR(kJbX1HUe@g&$?j9N*B zISL0h3u;|GsSu>>^k`o{qt437F%_m((k52S-Q!atF9aXRk;kD0Y*c+b@qAPD|HODL|pg+;;Qm(#_1Yjg7r;Av)L zW{LriS?V$=q2tKptnKNvUHHp_^NP!Wy1M%R7Gk{{dw;H%>iO;Cm62ONw~bolyPT!2 ze}_BWUXI&6>v8_qqZX%uQH}PvesIl_F8pyCuhrmYnxB&QJ?HYKG}Tqi<*OeZqYiD3 z1N%8fmG&q{<{ie@KX-WGceHtYIL4 zJo!MW1DF5KCSm4Hk5>TUnLQE2eNTG$EHAkP-&cL@=KTmSEQyg{9W5ED0k3FL^ zzuCO5C8CXVkIwy~JosN@Z!N0mz86cb)luv zhjePm4zNO5HkH!e7WL_PyHHsVB|k`0&)qHOuxH$|^cGf>S>Nz( z=Hv)_3g<&G7R`1|w=|!674vhtsLiRciUt1fu~)cwun}@J2ITBG7HS^PKG%z$f2?)Q zA#Lj|v9)7y;VP84|I}&>AXpAO+T)Zgy}cJ9qXyAURuz@TMSv6>zmiJ`4J!i?PckSM zx!5le$BGhL4=mCHz2)VaYW%TC*zoqq$XClqb)jSt2$Ish9o9I7Y;?gD#h=Qd?5Utt zM*uh72~4%W{|$JS>}fx}C*V|S4j=tzz-cZ$akxNe<=`;NoryZ#^u1QRxX}~>S!%FN zNxd;r@37jhv@GKyL5qtgRr1857oYlw&cb;NFuTXE0MW(9#s(0j1TLWK0j!~uliKtO zWDy?I9)63CHqH#k6kX03zW71!&bz3zoH zwa=BAQxTy?QSbj#0hCA#>uXo+xXDe(IC1cq8;0Z1qEZ6BmsB17fp-no+f}X+whp7Z zQx(J^S{1HT98#0&F@*eH&Z9 zD(&L`N)Y}{hLKzFb3efqo@DpKnT4@x@RKcu>E6o`5G3OFide_~x~eD047y0#H{LJ$ z0VM=6n&J*?zdNWDnxm*xs$Z|LzKK2L%a*EV*8rmCb7u zD8D?ru5vU3AE&Kzy^H;M;aAHt&Egz?sei^nQFm45G*P^Q%fkeNywh4&cEbKM%yZLV zv&^(^O$52_imc2o8LV^Dhi!?uRP$VgID=!1<-ZGtZzz*7qOq`)M82PYNAaf8pk(=4 z-V6iNW@$C;^YwoI-ez=#DXn88MPXrK{@y3=+&?ahccSzl6+rL=9{gNC#Ab=YiZm$} zN5lp@dzb~yy4$4feE-&~B^$@-itrPr;J~VwPFNPrALDk)7mrceIMTXzSumJNjJsz` z$Wb`bc-VVb*Z2KQjK)ntng9eIe=irF){5W5hW{4or+%>iyGWe>@_hP9KXa97>~q4H zUZ2gEPYR_-zgW4RY=5!U>scw;Grj{Sf9w6ZKtd*s)tB$X8b%N<^qW~C9cxPNZYt3k zXbb#40FX`kOFBozk-yZZjem!Gh@kOrwYreCNTh~O$du8?Vk#W(xexF}YEuo^CTr1U zC%dvuf$d<0biCj_m&|XRIDHOAO;zcXx3m(x?F~V(r@o)f{Jm_vyjqO8pSsR?<8L>R z=u!pywGilJDv(HIm$%t96mtO$RuD)>Mgh!<2_}l^r?a6WK3N#yNtyk4&gxE( zM6xn6%wtFY{-u)e(z5s8pU4*&6X`n*Y&8a0{Qx%A?9W}lNat6-*QBv+_!C3mNdS7_ z)y8r@8UeYzW8|tGtgs} zIUU}oUsc_8QMvr`=zFmdm3@n~^3}fm@qYBC=rF!ZP~_>b7WVwy{JTg9UTbf98>gON z;<5d2@T=ba?<1W<*Y!UKNpmxX0iGSR2JrhAYGJb)xAa!vOgj3ohOBYmd{IpE5V586 zr7+fTQnc$JPM1$5USfV<IbtBZhX{1RepJ(z>dCfbg!V9>jH9D)3 zrQU=%u;jEnglXnJ&l>?n=967&&zzgK`EBZe`^8Y(WKN!3n_g)V+i4NwlH0D$#oMn< ze@|N(J4D2GE-EhUYum+doyJ1XMsH)DI~jfNOc#S5ZeDCS*Pgs~79)KFo%iXxtah7f zmwZa8cUZ zzpyR*mQ*VLL#^#*Ld^5sPsaIgpXEJl-&NGB4e70m7$l<#f4X{fm&N~hExR>(xan7W z`S$R&bE4D36%!8^dewc8w?)D+kA@&lEskN=h@1NMn-RD7kF*EUe`_JTvb;olep~%< zE>uS5oo7#g@~QlPuKKU-CLF)^vfpdZ*a&iJ9=BC}__wfV%t26Vv%ui{&2USEhK8oe z=InfB zCmcZK;YG-e38^HDA?8{*1`~$d>F<@4Dni?tvnn5o|I7g{;Hf`K3U3Zku-#7nyOhwJ zz6N@x0KcZ{2vV=zj-;0X4ALK$)~2rDd{F|9zo}fzDi-M8;rN}V<5;jSGeHiFoLpRn zHB#^1DPpK37Xij9%uyg2Of!j{U(XfB87|Grj&_?xVc%O2Iz)FdP=y>8c7 zz#3CvV`Ecl%#FuReqsgy3Jpu-UIdHZ_DCkJGS574P^E^ed0TtzBRn*qKf+NI&l1!vM$V!;%ifgg$A0qj1SD3>@ zXFL<>2rUt`$VbqTkjNa0z~0>9MPbhKH_wC@^4b_>MN^p!u@QyxjD4eeTMNgNyN8hO zby|w5gxL7Bkw!Tf8Ui^{I31LMkcX8(W|%ruLD`{Ute$gRK;aVYGnk5H-otwjQ)1q(V{1LUJkKnkQ3{e=aOM@V)RVmIk zgQ|G6P*9?;V-FQKwk-xngKbq)N%4C!&o_yJBiLonbOt6y6|?qnN}#n+cP>ECWeN8 z7+5fD2`TB&%IY#umz0yxt5_81>%x$P~zM@Y*|D#ttvYD-qIRltK9U@Wm94ps;Ln7t(mWLb|vuK z{~8t#ly*v4v38$asGejGIXG!YTM@GpIVcX3yvbZbFb^ZK?Zxt4XiDRpdm?OvMFlB2=$UH?6prtP_; z0lGH-tJ_LV>2~SUubTng>qn`*&aM_AgcM2yR@pBhP=;(u7+FdG4}yL!Z=4AX6%2Z1 zGAoUJgdn6XLM2$593wNxe%>vG^J&LByMQ&|d5gBh)@RPpnp(uUN8`Y-vHYf{KJX)2 zyi;gtj;!#*Y5Q5%>&sI;=kne0w55@TpLYj;z~x2T{!MtZKQ zYuVV<8*a^W)md^o{zJl{DC6wwmapg6JBiKs;+*jDuUEBZ-8KhV)oV4cEf_S5p4Z2V zd20jK2?~x6)T4zuebUe!dGw}imm$@0X2%nocJHO;fVy1c;`tL}Rh!(BsG!`!0#I(| z&g{Qp{m!fTSH73uwmccOoW@>f&UHG2ZbUB47VJfutvl;HS3QOSn%RRD3M5;*@mZQQ zm@l?PP5D#weby3wM%A=0>M)(r1mjvYX`>@|Gf2(A+gu~hv4Fj=fxCN0!jht0<`!Sp z7w&In^J5VCAl;P>jD!XAHqWNndiE*q{S(zIhEPYJm7;Jrzs84lg#*22>3VlFpXG?a z$Hpo8JKGE0>&wydqs7DA5@kT#HAy-Gept*o;~r}{9O@U>fZQQ__L-zeyXI0zwsz*5 zxaCp@S{Sc#`&Ntlti+9T!gu}V+RV@yP^XSxrzN@q_6L^j257~e3(O8av(#Uv?;cnc zjC#J_w^_hf4pYraakx5n+l`9Fw>P+MU^?;MM+t%~9_pr-I}$g(m3X8mScUa-D)C8u zVk}>b*d!M5&Tt>iu!WuCSxk*~^JMR6m!35l?xt}&Yn9gsM90;f+5|Mmjs%5Cu77cf z-=0W%d0QQ)o#-@QFFa+HJa2!vvOF=ewvSBF^Jg-_XIGj(9}v^A`?1I&T`a>nr-z`fSHC`XlN0A6nIY%SQ! zt=U?f4R3(cw(YjBp1zwmz8YjqV1)(T=m*}YJNZm|b_3QB$5vDVpcRq;L|okfymcP@ z*n0Womc#5}n4_wtH@@fP+dM+uaxWcDA7Jt&UkTR#yR<~HCxL}P+Ao9b_i=oq zpQn`!4ds>s{&rP({9$+F{Mpnpy{Y>oSaY_ZX6RewvBy>Z1|b#n#}4wP)FGJ(`B$vu z+Alr7^}Ni?rS8DMWG3Ic)72XDP-=vlteQ=#c8aE{8frp?hN?_t@&x=|2;Q4(_?+ze zo&W#Ej~g2|G+l=l{HcoA^KO#l#|UqvxC>@1ku)7}0aVA5{(51SmgvWKzPZ9eLV%28 z>7*&=mx+l<<@^y~I0s!-Dp>c-b!&YVIKL%VLt6&@ZQEY#Yqo4h=9v2B1b^*bf)eM!{qDoI)3F?Jp3ZBq!t*wZwC()%8vsoB&FpzIFglGa@B2!P z`SfiK1-+$m6dzDoWMFgMa30{AY?)WAG?x2}N1Z9|p+J&MmkQDWL8nk;*-|r^MmGbJ z+XMc2A$m%lo|hV9_F<9Dp51MlW_|Z+IsHl~JW9vKWaB_>*f0k-)yLf7V*xVKxqIk{ zc8po~F=NLDdJ483 zDE=FYM0(32u)8SBZ?tm^g+%ZV#Lyn&lC1t%FjCJOHU(MHt!&D|@VVA0V#GLYNM&Az ziw~U9el#_eBtHpkT_nXB#s?zd=lSF)!y&_rA~oKLr7L!gJaG4wK5mL3O(pHKH}{8M zGK7^j^x>R1^nYFIn8v0#&yhhGL6b`K`3koBNX!b@Kpzn%N|^3y*Mq^19TycZ2pW<4 z$vK|1aA=~MkIBd=FTdm3FlS%{fj~0MjE#(O3l9hPbzzW33#K9{KL|fg&oC`Yf;mV? zZHyw7y^AX~QzDmTzC1quBS1eIZ`$HcZ)DQSIdP)D{RMnq^tOZl|eJ{2q|Mzq@KUab-_!WK)#GWMH?NVzL#^!cp#DT-prT6XWDG^f6V2 zC3W>=Viu)AKmJ4S^bi<9WyZy4hiX$mBbY|XFCu$wK6y3h5}-|*tmR!#AsD4-zc!+nipei_B6V|M}qOd#3- zp5o-*%H`N1CrVVh&)fjF zaPUr2W~LvZKoG>pJDwj_fH+LH$IV)}@o=tq)T>pl_f+{A24*XYFrMomd~roEV{;$j zYL>Y8O(gDdEV2XD0gfG&fq8KY4NRRM?jRE8eLfW!=I3>?35wcYU1sF%4g)Vpy%?q-zW>#{xVvdAYu3DQE-eSk9Bu>9n8qOmFU{mzpJ1WXX6~#JU!mP+!@*n@syG) zh*20P6T3aJ?aoToQtDrCqQ~f`ov$NMP5QDveVC^2sNC*!WW5*J-Fo&;iJOAHZFKD? zg?F*<(($G4Va4a?5;4dubW z>|F9r$LBZIHckDb#kU-%0WC>q3;MZ}Qe%EF}$;2sKLU3q(?UD8;`ZMxPRu)9BXN>tLw z6w#9NAn-Zib=~uemz`IUls{d;ZyBp4wN#pw=ih1Q6c#%e>pp$!#ZLZ~=hIH#OiXQc zAe+sF9h%n(<2UvrD|x!>cAo7^cRjC7V?MTb#)pkIyREt(n5d(dtktL&x`o7^XxolW z<~uiIIM$xl?$}}6o!3+O`T2m5IGo3C1DKY~ds^A60;+ldkrCcl?SJCEm*YA6LEpsr z7b@UseCh7~4N-#xERjvyHCC|2g}dmPnX@=nuJ!lYW0#@-bu5{7F-ZrvH8p+CG5SI| zY9V4o2`sz3IO%C=z&Zv?;~FzEF+mLq4@ZRoGjB&8?Q_Z{^T6DSr2VvLl>Y~i;Z1z_ ze41yoqjc`xqPW-y|5Jm?^h|-Z_=DI);sTrIlbOfxT=L4TW$lvYbfu-*%7*y`l z9Qudn_YTB93)Ox#xWd3@g0{wj$tc@E!r_T`4tanbdi>NxYHr@f)p^V|c(syS2!a82 zMhFm&UOfIPR;gFMezr_kPlxg4m!&UVnkMLeb(>$g@GDrG;ja|!7hh111^iR93O#u9iVQW zcYhVVQ7J4n#d=RQklv54goyD0weYWuET-y*^*8pVihu5wMw{w8zCc-vbir8pDS~Jr zAXTh>mlcWmXsxieMjx%JSz{Ku!6~LwPYRWlg2Y)4?x`RKyVU>W5M@z5p)@8UO>v&G ztZMYxM7r&wL=m&Oo1nLbDxb9B!?Y>UB7lA65f*&|qE#sxLn`0LOF2wV_IFMe7Q@aw z+^+QDx(p-X_}+l7iM0?4Rw~`|Mo?m7!yvOX9&4OKlcC2ywL$t#C*Mm|Vq6^=R@51< zl#D4Gj3#v@iJqjUu5RAS-#ljwfy8Wm^|APAjHN33BMz!$r-c*+?qM}o_Jwy1e`6R| zHT@^fy@P|Pt+c0ztEhoWSO}LB$Zr`k+0B&u`dInaUH;IgaBC*GLAkEshqA~X$^=$i z(Nu;88Qmnp5?Q5NkVFY4x&w~la+hjN2sVJ z$5@~@Y{M9r9|pEZDt?3T@5-%C86g@`fp=J$Eq3Auu}$cb4I938h+d3X<~$Tno`^caDOt0 zVYNy+V^NV~Mfe~i%lJ8CJA(J^j9uT3>j#y^qj%FS1dr_Lj%m>q_)3&a+4P7Z1%u+F z5$|n>+~?BX8V`IJ#>gk%t2!c>M=k0{pbxVNg}CwJ{`%7zkdK3$ND;M4nfEZA|*)*JbM6EU_}!VM6hr zP>2=j9kyfkpog>ONRF*DF-9STC?EMhhRKu_NhGw!GP=N%FXVSxIM35n<3}(Rkut$n zGWG>HlM(EpOIq*_r~fuSqMKpjS2i+4XoZCBswAuaYL!nUmSb|5Jh`J@=fE$ToY}~( zmy4;Dy-a+IRUsAG zaHwKhxePxYq8mf^Zw$DVZtC5t=Q>yOitF>mKpvpBV`O9mUOB*%RcX{L1t|1@HTwsY zCJ^{;JaxT^E%y6k!8N+R%NZR_NdOs*_^(O)6fd&AQD;o`-`CG85Re(S_}5j&PO$&R zsM%##8PTQAJBqtcLX&?Z@ub}jCku_<>LXQqlu3UIIH`M}{a#ibc(bVAHQe2~B;G7t zJ0`i)v-16urpFWu#VWFqCrax6A4<=gv%_QG=lp@&H7UwYzvsc+RrKT~#l7NX_8imV z;HTJ$AOfAqp(ot#>jHfm$?NT=6c)B}iT&PAR!>^{&T4Fq{T12H-_9O!_)B|W^3h5VM7vea-r^7^RJC*qeSAo{zSNQJJ@a9DaG2X+xfU6FJZONv`a9c z`?Ww^Rr>rb_xJJo0!a1ER@c`I21j0x`KHyZ@s+0|qH!+T;Np1^fwSXLU(D6U)tLxk zDNzWIrld&YMb}33dpq>37dX6BTUZqJwHzDj?3DC3~*j3zTCqI{gYyBwkMVO!th+ryD6 zPdhJ#qq>6+lA67a_4I+ja$d*z#A$vH)w`ir^HcRcX08$Yji-#Y+G3LrzK5&rdyZ`f zpS2(|J>fupOG`zQzS~e~s96XWFxXMy>nij_(a{O6dLXN7 zw)>7-#+_ZO-Q8{39&UkLyN<{NW)s?OKYTbdIIHqpJuctG2VejniD^9ZOffM`#= zsK+5Sx{(RveCjVbjFKzNke;EgoY>`Gzk;Jy$_%NjkAuW5D|FdKF-Mn{GUX#RI-~|` zU7N*NV3glA+A4u6H}GPOB^`|!^`DIQ6#CQ2x&Xz)57Z0pe>#@)I7jRnGx`2g*GX4D z!X4(?XAKk%*hSfKi=Y(x;!N`c2wjFH zDivz8r>>B}uJ`b2@+eEgQDJgVdQ z$Bz>SQV+V=Gr=-}yaFf1jA%qir_P%qjzU?$9$@-_Nrhiha`nVxHCVi`NY-GXXH^+v zgPo|E@b0c>VZcA()Ut}uE%I#bvGu%ji`lo+G?@u#?*r^7U}u%PdXq(#PH8sCH~r^w z5-Hc>DpOaeq#^RSGC^({rJGWtsfcnC(m!>NW`}FuK{)grE5o5P zxIza^EJmF@1k;vEoOv#lVqtx99U#mKDn8nTk=i=0~3Z}_79^FMt4 zoYNaP^%u0KN^ecA+$|UsimO9p8_{QwY$LJlWbA1KsTquulmErZnUu|y7cQD_a6(NR z+$4drwM?F;YK?`+cu_*b2y31{-|YVXZ2=%~uHtMGoN_MWzA!~eBU{E`B0E~RT&5>F zSffO4xjC(eS5Dm%cTK!~l%J|a*hzB6BrdTWQi0gE(a>cZ%VTLew{Ch(X#$%dN=#c6 zN$`ElxG2v=io& zYYs%aRcpG}zZ_Bra#Mo~p*jT+t_Ued19DU) zf^Y4UB0J#ENvb!0WBs*A9aNdctG;BrX6%ElO(ix3QUt|CL&Xr(@sNV7D785I>8+zJ zLSc5Ca8-u=M6O-}RTaZFg^{D?b$D>$hXZG6xd^@xDWPq`V5^!nh$0N9QU{8HES*Y! z10#ffK})d8xPnE*0sK9?UFd-m%U~2-Q1UQWm!CGSfO}>aoq+R$qpjBvM(_ZCRyA%c zgqX}`wt#nE(9uM;z%^d?LdZr19~(9fTdf3^uXxV;GmP&{lBdHURt4#l=M+Q@7(X+Tq7q%k5@Y2+%Xx3QhO`C;K{W!gv2}#lfQ`7`PPP zuZON^!m@9={8)IamDfHZk28K(B3pc$`x)%)l3XwFwB_#c@Tgt8gFG1=4J?rk&RjcsgBTErlSxf{dpq1ZAzprT`GbXg=+d;IagBT-M;&$@Q(LK`_Rmo-z@{YrLZq>pzoIMV$y_x@uH`Q#tPV{ah; zh}LlW(KY1+xM8vw#krTXpAFK}>I0f)Y>;Ybf61}FXis@^-jD0>-;R_!o9A6+4G-x! zvmJ-)J>R~q>XeioTl~=s#m2U4o%Tk>{+HSN6L+#iXDWDv+@f|gyz*|KQ`c_287o3F z((>g(qH3drG}bn$T6@gg9zMghw9|>$5VG3oKf}}il}3tmeN{(K-*@a1f8KrSjqp@p zzw$(be`9Q&Tj)yQa`!Ddsp+QavUo|^ccPI%WJ;jmcb2AXi*-(d7U;{pg^^ZOGNW*v zUe>kTy)YZp#m{sL-`aq$GZepV6A>6TDa!2RLV9Lmm|}Joy%<}5%166ZH4*60AXtI{ zsjER1PinU7zb2Qqw9L%iOp&`qQ)2>tvY{Y?wIV|-@vmRMk~p3HvB+{Ms@rq&*}K{M zi1pEx$X-|WH?O!ph)qP~T;{~TQ{o@`ezgKzTh$8o~p`}0gdnQlDn0~7}pLIt$ z!t$v*(DNrY^o&);9+=(7D3dKJe0*`#oBU)tI`##f0CqsN6~s#8>%g4>JURpRels&O z*6GP3<_9NxU(RDpJf6?l%T~9=Fq=v=X$YMeJcQzSWAu->1~ESNR8Ltosa1)EaRlCm zG#UOpNB$@i!%OCP5VPQM;xSAueX(%jwqWNthAfepn#$|{^02y^iNn(8B*@Rd{DT{r z56QkN6MOpd=1i>#Z!#C;`YCGUll!?w`CKuQ^Q$4US}CzZo72o61>Ht_rpWHoLS5tR zgGz3f&mqObEC4JgBq;a~vCG5XH-|GF8v)KM-rBSts-bQDi6EDqjEE4{qGG;-%+o*a z#;2d$5mPU52OARx&UzlTC$6?c8SK+>Aui6FuP&Kg^lJ|B056)I9~lgYCdo2Vbn{U*9RX(bn)U#X7PC4+!&VKc-b8Ou5b*ezC)!{srGy3|{hE_$ zj#ZtviI!^DCg1mp-y_6Fhnk0im<1_l3sf1RH1L|ab?A%g#j6ulhf8J;!#dbCh=yR* z8;g^MRp4{Q)cV=G&>(55K~U@D2V<)+6u5x3mP>mY?QFwo$viWxlmchys9=8}C5+{0 zeqN%Ege7w+c<8q)WaVtnIw+h&u9-aild4TU>~$z6=?9Q8LRSG8_K=Y$LJhW?kSrU|X-IK2pAv&JkQAb`kWb9?g( z?t%ip#gj+B@ob($p#ST)4}|ZV1+#Q8rdwylq>5_%0?it7JEgs*=&uvY`0~#PYw|H}@qCi3`!k<)u zGMMB;Xkk|IFqf$%$qZ6>uZko4vdwz)a(I#-6S2o(LHX)ZA+WPZMZ4K4H{OyejuXhX zpl@H$Vd;vyF;2vaQohI|lYKGBBc zY#%io<8@D5NC&9xYNU$kh`%t02@9#0oUGqyjlnMcnSMl=+dsu<1r;VKn+}HsCthjIGUXwK zHKJ);QlP4pGcczV!vB)vfFL(^Vje+YKr&4rH#9{h-Tmn4`J-NsxphU00KrM?$UQ+% zR)T>S1M$9_9OkeR%2#at+j;!MqI=bI6aigDWo1j#EufMl<## zVoCS4Fn)B@t2E>}#^_rUK!v*fJH+|f9EoV&LoL#_n}*@A=DL#7sr5R7A(V3ZeA=JZ z>9RX1dEhHy&x*J%jM^xoxHplx+yuS@CpS4ILm~6q}9(RByZ=WdP<$I1>U~Z0h>$ z&mAL*Yc=rm#a)CrTLs8c4v}!39(Q&dLn=ep<_5dbrTnr-zJ3N(ht2uVJ^Cwu_FOW$ z45QLwKRs5tX)Gv)P0ft|RPoX%>UhtW$GB_1tD!USmU642IPeQN4vFTmd%D7xXL%iH zJ3M>eGc^_P_kFv(-0ZRnK-PFE@HyCa6Y+lZ!{>=iz_91_fn->o`j_|ohhZ+IW^hYr zO*(xuAMg?{3@4B>9zVhCKy~W`l3ZxaP zrM*AN!hncO`|C*+-5T`hLE*+`O&cG?ncCDwYB>JzL~pd@FcK&Q0vB|1Rzx3kuYdo8 zb~=8)T=xX;9md?y#tnBJ_SylpV~6axV6KY!Y=K3ln5Q`qM~BNpgukV@p? znQKtG<+-sxjrsR14#UA<7=0D{;o#KY*+8nSp8wA4wLoML?cWsH%~p-Defs&SMjs7~ z`^yQlKjhYD<9Qu`oo#_pdA84)({u#m2!O$6CYb@n@STb|c~0o~_UZ8;=RCp@d1RW? ztp%+(!3i`JT{C~;ChcGg$!hp++g@M4yKRvLjd2O^pvnvJGPJcTRdePFp=uV$is^}| zL~@*M>Y4fY)t&$I!Ey)i&n>Xy#{Iv>*C4}FTjN;M3WqJ-f44M$azW>{lgB0|$VB`F zLBW@oP9Ea@0|P1lcdS{GJpK2(w`S*KtH8qvW-|i;rjxz>xa=E}X-ARj5aFVLWaLSx z!1XY1jK|sP|Azf|l3PD+J^n4S4Ym`RwYCHg52Z;-No5ZGxn6QL2kR#JxJw4(h&4+^ z_MF*A&I&&gG(BU4Un1#v-6#9>HJ>#FX*M?5CN-7!v281^E}q;1Rsw)HgVbvmOY`A$ zqjTfB&1Iag*r2M_f5gaU$*vDE@@0&^QAOo|}Unl}YvH?*AQIRMJn48#VQ9p)dxURQU->*iy~82!DI3 zH;yEO3?YeTNYPtcimiQw(oy{1NzEhhDj=dl`lb<*#juXp^S`-{d>-ksR(*5icsoaoiC#3l(2Fr z+9$5RIg1i)5XSw6qb0?g$yd>+Hln(}7hABKzOZsy(Zbq7M$w9J$+1yY3*aRCAe*b8oa-7aMa1)N7D9Y*?&`D!~S<6j&=eYO{r5!TU0nD zHzfK=gN|H^@cVoPZbaPAc1DgcxGvdT!SOf(xvpwBK6tr`8br)-0;2LHN>ScCFlMzC zEaCy+60Kp;Tt9r@{?z;B`t@-y%)N2uxSoD(d~#A5a2V@}Q~64Z7}YQ6m9B@3@HZE+ zAiAMfYZ5OB$utNnEEz4Yf&#Y!v7U&~Yd9YPMW*2G!-bIPzf*?*V0!d+SKQ&b;dd{T z)b==?(sA=HP*#H4QwT8eVjI`+6IH4~%gbMe>VaS4LK961khP~x6CeCtf!v-PAvek+ zH?Wk_BrP})yPuZ&>qwnA7Wr21)6lOE84(v?RsNA{N^@MQ932Q+d48M|smu6tDI=;a zIy{O6Vj#N?VBf;WJ-}1=hg|vBHo9k z97r-8*>B*4`KQ{h9C^5CJIV?6haZ1a!FB2)EP@G~&(E-@kf4Jk9v^7y?4~jDDofE3 znWOfBsBpbs3u&+PWUKoL7=SwyWl!N61c^H16V^^|?zpPd(4z9rc00bH_u%RG`d1QeF-hOQlm^9BAJ3hzBTP{aDlWr6*rtbGN{c zq>fUUAWSs!9Fj2cjPFeP{s~Yk2y7w=t?BGNe4zxq>Np?uFf9y1Faj1h5238+YWWIv z&fVG~Sw#v)?8q5Y_#_QqVPbronFS)``loY9eG2-|cH8F;|L;9e$=fdbiQgYj@bw(KM7;LO$}3xr%gWzaNC0o*hg(D4 zBM~1v>LuQF9T8#8L+{@)JoB*%KP1F4UY}lRq%88QZWqpIzp^{zW5)_P9}WxnSC_9` zN0P?xZ|C0R-M5`PycD*{e)iirvClXcybkzGB0S&u-WK&IC7bwR!>;t6RM^|k=V(@@ zUDrH(DfqC7zE8VhpFB1?)PWg zswO(YdZTp}hN{G2AKNE=e*@Anj&6-^-^;ObTNXp{FQ$z z0p*@G8Dr|LK7ok6cDi`#ak^gHo^p153x_mD4yK8V#>*?>guzPf`n;zlI3Q-=_t^YW zPw`6}S`b_=?)2^X#OzNOV5`aePv+0CC4OIda{dbG7%5bW>Il!--3fBB)U+??o7RAg zGtaFe)1$5{v*iOuD0k^8@#p5hgllf$4uHH*9To2Tz5i(1Ihyfl$kusZ`jxZlu~9zm zx6UEr-M1IJT6_6vtAN){UmaL+cQo;{ZW;Bm0lgI2xpZ8 zMZE+98Vy;KN{;rCh+hk~tC`wfk6}hO*1L`Q@_@+OrG4Xb7luD33{c(b7zMm<4nr`6 zJsk^P_uPEC$Y9KEbiAyLXsTI(ta0EE3C|dMD_OKwqG!e$k$fe*BaFtN?M>=`3$$1yO{7Ue=}@ZhvZGt!in#4n!URvtk6!Qq$6a zb{&XWLFt*yGvLYJH+zK-YqzaK5M$-$-k(2mmA2o|lie{>`{*n1A+}s7^HXWUZ0j}m z-}{iMgP@&g2Ab6q`w3)KhJ^t~tu)N-T?4>l>uz>dE!q4aC&0gP#qTih=W4w0#b5X& zIrHoNF?$$~+&L$r!k~qYa<h6T75^zwf5#gRrFH*`$c6LSby7 zT<9h9%T}NJoB$uOdnkARrlX75Q?J@@v!clb$u2_4@}fi|Ew>V==zx|@lqz2QY`kF z!o_2vEKbxh0pB)N%UN0<`}or_qp=F!NNg_H%r%h!^K)iqX2v}<+22iCXU@(4oWux_ zy8|=bL4`1)ftaFjNK7`8^^&%*5S4jK_VFauU=>rQsdQ}E(LJ-gnJ2BH%MFQucQoNP z)1RucW6nl z260iB=dzJoNw!V}cevG{YR1iv)(wN+ici>dKx+0UTbF&WL`3jxe)R&=(;6IOs$vRO zmsOl)t>y1wiB!DTb(7z=`la(IK!CbFt^~u}`FIv@Ew>1cGQmfN%qvD&bo|n()oVg3 zsN878?`Z@TlKFn@Qi7r&)7U_*C=J`-k}Ehy=ix|BhAR?Cl2H_8RFCpKsuZ2&ERT5J zg1q;uKYsM3AO$Cds7AzPeTBMs`*fp47~D>FRpD3B!0NZvbmW_(u@90{Le9=M7S>X; z!}Y3V;OO3O>f(IJ!??foYQ%$T4T=Y^_41*?L|v>`)H~g5U47SEdcHl8WE+jOTg}W;YzLIVnYUKKWTWglf$t0kTi>#1nH>R zzVh$UvMCk)#%7|gXHW)h*h;9FI~O3~^s4+Wp5d5zZPpGbS%*tiz*a5$p!9=)^mC1B z0hAJyI7=B5?=zno?6e!I!GQFJCiJE9SsiXg+J`3n2%}-^z+J+J>Fv?xttX@rkMsOU zuhXKB^FQ~sMXt~S>GV)i2mB87fEQs=FLL)nIJ=bcVc z=WRTB^IWPZasEJGT-Q4qgsor-wehJO`H#&+JA&H`McFL7!WH8h9tZ0CiD| z750;p*stjE>0=p>+t{8T3G!~Prd$7G+UTHK%6;b0vo0+YX2-tGsJ#4MHME#BRwqHs8d1Mi^VlSBF0tO zN!|D{?ec}-)=9D#`3TM>RWs>B||j+$;?xTrao8vkM-)8 z_zSL$6)mE-fpY~Cx>}w!O_BGLiD(v|CCvcG@6Wo@bx`l@YWvj@e-D4Bw{%86yq#is z@!o`t#M1ZjgbcuVqq?^C3ZREumVOuji@np;eS_SI*^>4{EN+lR5&~Egrx@W#pDx8jMPR;tja9gevXuo+J zF4_)+94svMfflxs3;1qriCuR=wexAq)aZd*b-S}+^Z{TD92#-vMuYy`d~>gz{27>R z?G7d60AMx>#RBj_>ux;FpH#M<0YBb*42I1B4@S{ToucP_JEwWR+I*dL?t9Sb3QdTg zngX6YfSI-v485tgtO`*hfyY<{k1k_LV!@XPu(6I%sS2fr5D?_%cj1hXubg> zn+&@fMRGW=uKLF{ZqyGid+*CxluBGN+F!JRqjE)pXB1kYHc%pIF=N+K)u?jnq9j#B z8yut{%okVrNDgu{W%-;t4R$^mI6zh^zm80EQ-|YQPLX4LZjl3Wl zBJ&U7TAXE~c7lq{7o}_+VqNXz;6N`aPXbAy7?k2*)otlnt;uAqLcC@%Q9&VH8QNRX zf*L8D+NT62u5$ z1ygRl2jH~_qru4YL1k35=~G>V5p3=9U>Fg*13g1w$=MEr{ZQbmlUc(NE)E9ncQ>dg zOssyqNLID-%VPI?rT;OeOICd{76nQzT!A=9Dgrq-k*G}FX74vWdlpUcpO|x>3;)=7 zN_qI$@74Xsj4C};JKs4t4l>`t`@Q^#i>Dr~S?cPp%|qY*G!KdH{o2e#wM}C~fUu@p zl+vjx#KTY9G$V;th+#VsJCbKQI{2=c6|v7+d#D_>ZDa{JRX|w}aP*_PfBpKPQ&!Z6 zh}4T?0MVgJqze^N0)`ep$wSHG@DL8vPB<0JRWQjj*=b04`g6JE?s^-EA6=CyVcy;oUn5Q?(nG;qd44=8vUOu{2V zvE^tH#X-sl!J;Tmrk^i%No0Pzxuju*2y|SxSXU{b1Rm%PGl`N6 z+~!FE?jskgpXF_%B7)K6jwU(+R&Htv-X$+yqYUp)Y<()1pE6rR4y(`+Wo7biCtGTk zCzY4amj_w02$_AoAGHnFKly)dw9kG4ZPRd2GJ*#EQILzNTciKdvmiE!%CpKCS+G^*_mr{!|f5X_^$^PX^ zA>jFVp<|axz^&!xp>gHs%!1*iKtRV{O(|L1OZsl(_<9R5TDzz7Q^@&y;FljAIRR%u zIM7p^C3)Mc-k9Otexl9U>yLsLWzVkZUfC0zHL@nybOP-L#qt$QUfC+sF%mc;!Y{zQQjU23+KAELNM> z%zp{Q-*U^(e&!@8+oPT;cP73FUaq@)yGz~>zFof1#NTMU==*G_rPZdl z(wT22f^#6fde2mZ_l=^u!1WIScC1s^BciR(M8NJT%kWqW`MR35pv%91NGpLnqTDNk7X3Ai3M* z5_R3?vri6UG=Dl^rmTD2J3`uaR_lhsKjb`JZMZAmbzJo+*?!XZ+RM@Lu@sR_P`gW5 zy%wS{sCM5BA-4Cr2k62pvVc;K{>rB9$abH5eqLauq-d)+_V16{=PO%Iz>`vj?&S7q zb#=8X1UZW=Dr3qu)iZa}@ng7d!w;wVE9Rtzg_95DN4ajB>qLd4{OYkB7o~GH%C@hgHsa#V+1Iy0NvAAH~$DD45+7Ck6A!{T7+UV%dt=4 zbJIlYoQ`erpFf!knYPO4Eyy3Mq*Zzeh)GG^PZ1mYy0!pKdBw~TZ{Hv=5G+!4GDT4u z!yvUfM7G0h6bYH`^IH$v>H2bF^qyDoEzK3pKjhAaN>5p@FeZ>@2#<6g~r%#qswU?v1C zc>@;b{Ab2^-q#j7n_n|sTHCX0zJlNmyas6{VboY$CzACCpGJoafG+*Wcr(*8K9drcF4&TWP@djv96-kj zXuE=7$c;mNg3*v41hKF$ye0FJJ_g5;7lb->!HVgmQKLwUppR&a=x1f%C#%0;min7) z^knT71+p`uV%4cOub$l1HxLD?7DQ9PjACF0vi||s$bJ7xV2V3+@7IM$jewb$2zHT+ z;KHle%j6iw{bmit)RQk2gC;2E6|o@fsXYY4c?RL9Y?EIc6f5p&pLxkSVla6IDbZqd zD-)~f*xE&NhsFO*#YbYZv^?WGneAR(y)sEYh>nl9aM6-rGgb>Vz(lknAXk+NVuSe- zh-bIy6$lgd6%@?Y|CjYcG7Rjo|GH9nN9GERvLoqDq6)bYG}#D*NzI06ems{Rm4#>$ z%_T>_nJxc|Dim8R2wObjLJ)qCpco7fi(r(9k{e+~M`1KY8^Ya4-d4?zjpW2MF>TPA zfJcZ87g3_t2>lb8uSSp7l_$*PC6B}FgZ6xP@2YzCFr68}vZRDF$+xy#*$lrC9CHX5v zxdp@L{o@hC*YF;ZR?dB;)r&J}S%;f}ji>F`4KL%0V=fRv>L|jTipjvwvN`{%$$h1t z8HP=agkH!wybs|#c0$kEMnuqRtYj)XP2qL?@WsUs>*W~p&?}ya)MW6NC zvilb-qjiFI8Kn|uL}AuP@aw@pFWFbS)4t-Yy6c$Owkl0p|49L@4HkUZEr}v<9W_| zrn(DjO@0Yn9mnL}oG9(9ixOYI(tYKr5OI3HMb55y=-ri0U*p(XN0wp`pI?qR5f$#| zlEo&*%+5W8xQY>m8w|yc6dksfy^HQmt*oH2oa{DDXSE;X>NV}BR9boa^IX)hlMGUx zE>kN6*BJR>A|$%Rx)4N$u>d-)Nh*&z)|e4>Gl}n$f+eDvI7NLie+{;v`$==%136;` z4r2_r4gvobufO}9SFQQZr)jRg3@r%Vmrc7B;h%QywHz3F51e*3+rRh;H2BreKFHx( z-kx(EZyb$w9Na!K;k?tOv>bSii!QA>XU?Q2H1WnAWJ93ik?XQ@^hv{mgM(8A(x2U3 z3rb?r-4L2F^MS^&ud~k0gFapCUp!7IFP9f4!Z=pnuPbD>np5|csh4rB{ul z-mcQS0@_hgPOhvTK$GdTSP5Yx_`#4Q2i382a&q$b_y1q!YY#A=^}4nwPIGGWQNcZ9 zMJDa|xP;Mmx@PSZ&iXMC1CMO*1X4S@$?<*LT zLC6gv_EPxC`lOyMt&-P$|~?zE?=AdPQM-UorrkmH-4f*0~cSjfjg#PZOHG6&aX4> z66ow75bA4|bznZ~Y1QK~<$=jr*b|C}t;8dgRr>%O03O1roC^loSyiSQ(J!>CCHJ@U zf-Mg4i(|>=w24smeFV4taiyG!(pgyWRnaU2qXGvJ7v_>`)X}bQh#>w(8OaDso~RsbMF(REhBY28TeUJp z!7Tr!o}60*%FfNsCI65QHHwo_M9&3^Ds-MeJWaA5sZ=sbRDYN*uuwG*PCN~B5QHrU z;G%N%crt&`q6V9)<2N{v2(ATL)Wdy9F_rs0#RO}-Y@278QshoG%2&=Z1^p@IvG=_s zf6u1hvVyyL^8o{}(sS7SIV3_%a&b=$LR0iDbSwy z-i06f$w*0K@?{=K@hQ=JaK3++e6PjTfA$y&o3O|d&T3qC|~Mj~5K(P|?CBMb#epj_z;CsScwwq<>3 zB0b*JUiCva6&_+Pe!q3PyQaoGupi4Ndn=GrP1*-{c@~_pE!*EOXKBzJ{q+CK%K}CU zVL!jEbM^J?Wo7x^lJMoVkPK~$e;mjL`jCf^sYGoGR;>p`ASE)X{Vw)OFSM?0Ysmca z>P$eP)ve5sWX^pdiRr0P=Koub9x6Cu^DSC%BBVruw*Z&G5+O(%ZQizM4eCw|n~Iq+ z@31|Z!RKaDnX_$7szzYj9YF{#V-E8qn~1JK_ECbpIjNVg04d&})NPM za9`n4>#y(i;x~+c?@RhT8ILNl+~V-HhbIDw0hI$iiC7oDIVsHpb9@uJtyerc7)n?_ zCe|tq-rj%k#pBAxx3#LYT)61=OO+dbu6)WENr}3)_uJjh5b?h*&%RGsPxm;t^U!~* zaAEp2IZdUM*>rsv;xi#^S#Q9?+}}6QdW#_Jaka@{a39=O&xRIm@OVtM)9EsC_+hJI zMd~E_&ww8Utu;580Wo3y;;{O?6_)XEwJ?!`skM$JJHro%XH6)e0dzV?WQ)%UrI@t8 zq4h31dJV73%~h+l{KeSlqxwi4bq!B6XdFBWSx@CtLs5VD8;a1hHNZVqdn`6jGp^TB zI^Q*gJzW)hTB-t0d0ZUc84PcKy?V4C&C7RQZ`fxpE96{0eqOPUG2KovzHUNHSyT)b zkJFRh4(n)VzG&nQ1*KfSUE<9`8$bVMJh@fPGA>TQ`Y?at&%%-J{FPqJi?;HqAb!>B z?n8m@crt;k@9x7I57WJf--J*x_kZ&Xkd^ua@COQqA+=8)PyZAWRY<-2i(ByW242{* z7TMK?cdy-kW7Q#FFi<{+D&R^QaKU0ZK{xCdj*IF<9($f3Kj#fz7iU>Kp102@o@Nwo z%RqIrr1J8z&r}$%H*Xsv)we%0I^TQEMV4M#s@2N=AP)rGXKJ?p^9^ z($hLvIo#Y7&HNm0T(yAKGb#Is< z%5f?7bovZG;MMv{h`#VK!sX!cJ47R^#LwE=dNcPtt|r6Ljb==2OSLrdi)^VHk>{r1 zCr302y?!87mIfaW4|orM!%9U0<%j;%F3eL=#T_Ehxb4QRs-AA3;NGR$b!M01$Mi2D zRnyV$Ee2h=$poMvq>b_KXhL_bzLS(0%BM90!I}#RqCx&tUr01ln9fAQ$wiD z6XB9ipl-xG*v#Ou>B5v^ArtD{d|XUgObPLL)R5kM3M0a;P*icwgT(LYmc;{K;>cCI zX|KQKs2tLyA(n1^Bn)1hnOb3+lGF3OOw+9artxOkmvNReqUh&WbdwLEzEEG8S{w91+ zF-&DqswA$jN7PPwlrmi$2&Gd<@c`_L8weMi%c{!!==#IP*xubD(k=NX4NbRm8umC7 zVzdOk20=cP(kHVp=&~v+!Ush9ra!ZuxZlJAt?c+rajjqx^ghALz=(o!5g3VJ{Jhgw zRZZJT1QGE9VF;pRAd;LBU>6Zk5RN&M`Rc8OxeDtRMFAcrET{;KRsc2X-g$F0{qiwi zhop*;iMgtBbYk4yJ4>}l6@sB|tGU~#JEuaBeYS2ld5Y!`pV6h$&RjJjX zdY1&2NRJbSV^;yi?3y47->Q`pKFU03gT=)SMx1sh}zc9IxxR#UY;^*2!3@Fd{SV6X-WWvMe4eaTe*hzqPaIi+kP zBQ$U%s^?|2Ws)3+VTCAow>mB=#KdJfQ{Zsg-7}oU!Un>~GYRQE)yk5GRfh$Kx@mb` zMjEDc{M_v=jO}aM+iLB5dLMcvv?6g#K=2X>riiAQtR|C03WOW%d`mid8rC|oBX)H* z_0VN%_7;Y080_tqTeH8^L*4}IcvMzaN>9O8sjiZIexoE$oC-a{QXMPu=bo6EiXyoRyEHz zycw|aFXM#xfa;Fhp1!mBi^U=_}BSAG*3I{{BFE~%BDlKwWUi(*PF4gi!M{9 zGh;ghZZz34dR$4Kjif`w5&nHgCPmla#a+56;JkR@FFq}F^f(fbz za`)cPp_^rK98nJ6_u;y)uEwh#>zC90{5t5RP6U$w6*tBh*v1CvFr7+#zAR7Xzy0}c zxWCT%-*lZIhF`YF=Sb<}xoY+rHlZ!2i|3Lq2&vm&my zC9UNh-sLS%{$~dU>5#S8xPa%Ws|n$&q_Q}r9Q>`TrC0fh;&+a}_f5waH`{%;Yj5p7 zmrA6b>r1UVWW;v=f={F8MI2}UjgdWQQU2V}dJKA=%hPRW+?f3B!|>A|u76DDHM8Ly zas8LAV7b{PLyi82iuQvU9%=|w8iUI#K_aVxo@Owqk`l+c-wyLn{OSnWE@V?7*i$o-Acd5w`{YQ!c$z?Bz z_9Q*4Z&<_oR-6Tetv=WN*H?rl|_%?zxxD(U4tem~X( zzXZ%C6z80|r?hH!`{VyBnsGSX%;3S`;fFX7JS?{Q`%?V5h!=UzZkugqn)_LiV!mVp zZOiN*8E)rY$@tnXG%LO11JhVrTie`xw83Y2;lxXVN&#%U_*vjC!`MlQ#u>9o>&8vo z1)a{I|2S%z2I4!c=WO|y4ce^0)=-^W@7I4zbtfk$P9#2`q7Tl6^iN&9u9+5mtFr@HjI-Tcv92a`Klcr+xaEnqp@^7CEEn#BVVcN$PKkVVFR(`b^^P?tUeB zZ$n0TMJuB4J?H2sN%E}<{{3v4A7L}wYj&Kkyowb1O*4raE`|MyQ;2s2D{zq4rha)$ z(L?Z`OD`=dKHhzp)AppgdHmjYcDa0brLIR_Ns7-%^Ax#~to^FA<^|e0=yg9-6N{#o z)#PB=cQYgYG=GE}3TqtEme5G{N=uoyhTQtLQuA5aBBsc#So5VNf7%H~3^FCb?Bcg$ zN`b|hCe%z9r~44G9{C|K@Ne&2oOFNTjj#}$#QvoAcX~)-+1EZ-hgnT^LRl2_&|R=7 zh*Xk7n#9~oMO};lmANP`^O_Z$pDJ(wb^?Zafh2rVcx*PDcMGw5f zX9PhUL7;@yvINALffOi%W-#M?10*mMu$0*3_;-Y9Y%nNY(KU~p37PnkuoCExz8;ke zHg4|ADLg#aj4bM0=`prFQV;{B-@K>=oU&#lwW1os1ne=*S~7Iha@Gueuvu(LWjc^Q zQ~goxIiDU3bOpx$45zQH>A!b;?J=rc%6v76%MtvAHcpTa{Zq#Io2u(0N!wW-a%YyM zHX^g)F$`;`Luq4uA!Mp-R0@6{H{RHc5EBk|hg|#{Sl&7GuLLC75nTSCt%44rt-f{= z%wUnS#)p3T$nM9YY!|CR#Jt&Y32RP53@uujYBBCGsrKsJpc>k3Clf-8eqKtto-MPM zx<<=5VhKAExG%S}TJrr*XU4h&(qA}Pe^zge`eRGP5 zvu2*wE~Y-OsM@X74!?*#(|z&&fV0z40s9%Hi^Z^G)z&RtUfyR#AiCZTGPO)(3Zb%u z#e{8EauqcLvcTo`(c#An@8T;}aGkq$%mhhe6D$9C{r3fai1%I*)&yoS5Q~z|mJu6X zdY(?5y{jkgmncFIf-}P3IPEiX5Ur5}E@IH`sukDq`OS#0n-|-!kc47IMD%($mA^sg zag^PH3}BU;`+t59$giwHr>ob2IzEL)#V!f@F9%FQS{;|?_TcT3B^xivlg^Cuc4~~3 zo`02;Xe6eBB&5qrK9^xBZz@_D0m}KGg#wmAi{rcM`{p@x`0m=CMmxRD@|L7kHLpAE zIks*oA70o8H?X>%Mz3+Y2S2nyC?&fdcJ0DhfS_B^_ zu?3#)W*XN$n+y!O#9OQE?mPATyl$n}z3=jNL_DmD-il0lu56xSPNXKVi1y1NdCb<^ z%dy1sB{>=YAwOL<&dIneWFd$&JV;z-?*!Cc`K4sH?CmG)94L`Yab{HHOgz6D>a^bC zlf8}mkZZ+k2dp^EF}USQ?TxuaiSdyF`C=70t*_0E-Da{op3lAFY@}m6+ODlm&p&fq zE4ke#qVDHb+7Z7B$fH#xqt{M%aD>GoPkE=mRcEbwduRJAHMw!WJgL_A{}J)8e=eVE z6!{yu{eYv(v+8%bJATY}J$Ay9El>8CC*pOx?R${^n4j9_ zKRd;v-!AV-L_?jJ|9Z01iKc`!>U(b|^MGDoM;DKR=z4o@kB4a-8lqbrgq&}z>h5)4 zUrsO2{cAk7^VEsl@O-RsBVUoYgdLnTY>$7f5PtYa@k3o5u;vQh;5%>tEb+A; zXa7S05*ZKn_nGyYs@vNkiRp^PfK3?SHabq{uyKPEb>4D({|p3% zisryLfyOPH&NGe(POYEcw+pWA7&(CM8h2dW__GvMaM#oIsuqN#?hArNL^uAO7}qFG z2)gW#?v13-B* zlxXepx%9C=KOg*Go|$)i5H5&OZ0&@{%F0Xzw`oyBM9F9R@xFeO=!%0S=XD&{X6UJ& zJJPZZ(!-Yi>!qy@r>~MYto3md1~wI{s9O-k$qwI-X(@9EuDmf2&b~t%fk)q&%YSB@6Ee8or4+-F;PZ_awtvnct6pBpg+MbZG;wj+6JH!C> zBRh<<#9tD2w308#LBXljUzlV~yLdHJWe8Z=t*FAu0}0|?gCr>B`}IF~Oe?~%f91O> zqfeR+uB#Xf+XeCf5W2>zMKWW6bF6`z@FV?;EP>>hRKbkRPbWtBU-Q~_i48G~rbd4W z%cpdJW->`bPJKDm60rk0zsqs+K12+c|KKm5L(YLgax^UhoMTaRT{tYLAId#ry<|P7 zIsZ}EZyO;64s)AVXDL9L50!UUGJ9`ECXh?c(G?*u6XnQLCWfQGtZlkwdvo|d&9v!Z zo@|(p(t02)x&H?pLE^sWTv?UCKpSVRYcxA)S}XEmkdGG+t`7HhRjKMpoP*QA4Kjm# zsucqOsEoByWRt4e9S%Xrq~1_QXVW|ggkRlV)qPq+M8?|EC^8VovE(6BC<$X8Ks)BSx{G z?m=?FCFhJ0I4VoYcqlnC3^9^Y#!-OIDm^tm1P#F%Ta^VzG)fPvB9syUq*b*zx_s$O zyVJStmghWm;^dXhO$T6+h_taGV?2)Kvr2yt2#d>?76&V>2XE$rSE_<7Ja+7H>O%Az zf&3RTW%ZSvL9UZ+3RbMrWw~Ru2-(87qWYBn*XZ69asPo|+Sz#fWcrfb&T^D4OfPRf z_4LV|&4WGhPRX9f$Y#Y$Ao$l18zZ`+*@US0zP+s%pFX118`kgIDp%#k^Iv%Up)=D{ z?D`vidcFIv>;GtXd?=h-nhVPx7>!;dV{!QSu><|lb6%+LzwZZ64mKO%D_-=4zg|1K zg@=Mo2YFN<5AOZ;nIo-EqVi%~uCLzvp>I6>3+K-i3kN>AeBZ`-ch8e|JRxpADJNkV zMIsDDnH~J?_2WPLucrE*Jd^udi}U;btofM}sUEG~aD2Y&r2OsXgR8|0Z<-I^w{iBp z;|;0{GJ5pKxjuLQO5^yEGu^ctI_&j7`nmI$^*5im;f=SLx&OGf^>aG?qq)^fD+j-I z>&b;v7mt2ZZ%y{Lmam-nshU}NBoK>PK- zJocj(Pn~>y8Yh*8$@U(U&}iTC+6}#Yxme3K_Fu`K?rc2OIdSXnFAYU;>HXWokx82M z*01;IVm0`Y@#OZhR4~buqwJ>I!8cv``H$}ZueFe0-staNI@W6a!Qbq>`WM#s_=Q>1k#U?0iu4!oq^5)o1#L zR;zX7$Purx_Vkc9%i=Zh9iC|SBgD+4>jm^PX4->$uYlj%+w)}kbUHnD?AXrE&feZ$ z7>4b3+autzEPeWZnx-@O=#@gAW`0I)$!5xsnHxq1Hl`F_8@fB*iuxjCPDIU~zw zMNvwrBuTp6?&jvEpLYCV`u)I6SbweP-#==9*R$wPU*F>`y#D*WIOp0QpB;|>d`9Z| zhwO)knb&p(mq(+KU!?e_^`3j~3B&M-C!RQW?wpj;TO$U8fj^%lNxa<4gNpC!2a&f2 zct3_S);U{Mm8vRYT!=sj20n|9nAeR1uy&`jySG~wnh<%O)kEgMIwIr&0$EZ;uCgN6 z)>V#aDm8HJ5S((lblNeCXjl+Q!DJASBjAD?XUnnzL?)O+(9Qw^*-~c%hTKVP^xC>C zwV*gnoudNCA!_3+6N+F`Reoa-SzDV<*eFbccv)@<0b&*Z2QkgAlQaR~0#v0Rs%U3}k?W){)k>R4P*n7-L)@6BtN= z0lA>8vfb%~fI=A^Tse5@(uKkHp3X~Ks&=~_$FT?nG7caJ5D*-IbB-JVKoZ74R1GGA z@k9tzNa!4Qzz{7WGW6s8B3grFdz=9 z)PMv8=!g-ZL*_s*o)YLv@w|}QIBP4aP@s&XP>Q)YYDR%}W_xcpAM}M*(xk&|nh*Mo zR=YMgAJ%GIN|hDf@fdMl0*C+vGHtB`P(~}Qo)!51>MHp}y!U5cVe1TqXmOD>EeZ-Vx3>p>6{MG*&K zh%DqmGpX0pdf8~{vaIr|+3k$I;EPaII+9TaRjw*P#t=fr@~UccKAcQTt)@j8gb^~n zFux!y6qB4g;+DWzW=Lzr1mmGtXmuIqTf@E4V4PJ?=l$XG@^US$TYI&Q#Q+6CkeLz^ zIi;$c4vYq79pKf}T_Uu^1TZ3~tag?F&^cF-CXNJP0SOt8Vq=ZACTiAeb8Q03%c3ZX zz5bO(v(cB{PY3_;~LedHX1&n_6uN>Xj8oz-(c}p$6U(i=IBOSM#xJ~5;Xy2#ePc5(g{8z6_cNS!H^3%^< zy|g4J8<#hSh2dE7lTCK+)t6qi{*Pa{2ajdq`}%C@$x>Rky|j5Dx_q;jWi6}{F%s>JabV9$7GJn__urY{-}n9L@r$RP-hW_aZ!yLD zT4_|;vOc#}#FNWml7yY49ksy7zq##=mjB>yhg}J=glX$(7f1 z+xINbeZCyu!pGnL!r}|Ut#W=-aNtY(<44VU@R>i`jTaZ1UtJu^(dXTP!#_A$Udcp* z4KJ)d{`q>Xa%`gEmkEz-`P4?yD;AyPPfmzhS%y% z!II?<7x4PggWE51YVWp<2Nvt&r5B8nll?Ckz#9HueO?5Rg!q|6zZ~pZrW)hXa58X3 z#mV5xvEeJK{h!#~e&^Qs;=;ktH9q^`NPvy>F;!MBc`C2cVmQo%#aA19X-RtaqsO8yknR#wz9I~AF{t} zKQQ=K0V$=IzxxW|IF2t~yf_|@&!0c9l=4B7v!kAcetMz*Xf*2edQlV&27{S^YBqjc zr8%GB;I9>(&;IGFvV2`}p6BE7*sEx+b?aWM>G#C~eyW+-i2ac8{}Tdvs(yAX-fP?I z^`w+%&z|)M>t_uA;b)BRvi_b3Dy62=sjrmbj3He;qA-epAzl^YGY-TU3eGr!F}mID z+EX+f4T3Nv4#p_}Yg9q5Lekb&Wv+@!YeyEiLnP!D5FA(o&JcGf9BO5?HA-nAq$L8d z790Q?B8LbJ9FcLF8SSWmefsXYPA{<0>%Y!CW0UgLqc@OERl6&i8KO_l6I0BtyNjpnn^v3wsy9*cXzff zTq-7$xyAWrtHlJf9Dp%!1VoH;M#KmM&N-oEjsZ%GRw;v;g+vGh?^~_a>!>YoZk$B|Cxx;^j8Bm; z45}RU-~ZMA4}6w zfZR^=D2)jLIO9TaA;|v)V!W(MK=i6dBAQMz3?fF%8P{obZKd;U!jQ=zOzREK5QQkU zqG`6HiXaHWC|1to(@A%EF-+p5*{qaV3WCk8?RulZ0ot{+9Yv0s8AVYP z2LUo>oVC^gLBJzptkQ}ALJ>HivM3-BMU^ADC<@YgR1~>!s$Nf9-MTU6((Xo8jd#^V zaK;I(s!Wk{0D&kFqaaA5m>I2|YP92eS~FS~c^(B(ElC7p)=cDnP_9p#t@lGlFQEfL$MnNE1Q5ue=M7aL*pNxN@d;TkLSdPB1|65^J-Sfo3 z`YnS?KRUKhoeQQilTu(l^H}Hhnqf)|5rIJsww` zIZ=SE)VqyD4)Jzjs*uZ0keAOL9K1Jw$Dg+TlY7C&U#^X_#`dZI@V2*@`v*U8;nLx0 zyu?P1Jr{naM{VR_izx$=on)`^Z-W~S-HfO6h z?7gb&id^V6WUuLD z5}w&QweQG%jg@ykaOQliCf2VU6{5?+uiO3KbhTc4u(eNqzPP_P{3m&>+bRNgW{6)} zTfD82Jn_Qj*Y`CJDtcPvwSO`QvM~Hr5yznwMgP`w_;yMThYXow6AClQ4(*-4`N8iz zX%4+!mDRnc?n%!*5Px|3^joX@pEEqORK4JWxpDi--RD-nxb?&0+_|?@<@r}i7e%4c zfznx7Zj%lcy7lom-rF1Qzf)XdH`|Zl?wQeWa67-L74B?z56hmpX>N3BW1}4IrL}Od zX)v>d?8IB|x&P~56>WF@4ecb{p%*_dsgCb#e)UXG&&yplEx(7a_R(nM=~b`d@O1dK z(9JJ$uT5G+L?2$>>-Ac#)^s}cq4K?6uiNc<-0TV6nOOW2&JZcYhhP z>Rd0~nW5x*z20avlu|xjz9@>pV9;nZJS*>i(3dND=cp&wy>z}-tNCHThwaSrB4>G> zp1HraKg$m=&bh&0;5F-BGUP4Ao}2eNA0NIsBh>xF^fQci6!`QZpDyYverFFkNs`so zRiCS~zP?@*#oF4MXZmOTR(@RZi8NQPT=7LtK4mRsr{ zmmf2HgpMCh{2(z)%J*JgFGKR6&YDHyAa$q$G%bYa~A&>%yIOk!#2B8eX#8}$x50ui@80U z9!MF6#5r(o0kpABE7TZrCXj_F6AC8kX2P&f8&jx{p{aHK{zdPmPoCnHAPh_aE`1|RW%qJ z?VKef&QWmA0tl3~j4U`na&B4_Jg-!xg(U+{ghEKc1XJJ$h;hb=p>u#_oX*QE3}WP* z1v0AFmiF%-_Dkm+AOZN|F+v0@IEzD>#s(;xP7!#k(*bu?KGE!3QAqm@z)z%ta;A+W!_U9Z*m`g;NAC>RAIX*ao1%xDc{fJI3?ZFLSEI&$BA_Yu)(uWyvP z@ur*NBpGItqAD%N!YWjWXyMZgkq6 zcC8j%dN%3rIp^)a?5xbM)()msQH&eIjYA19_q|BnH`(5gr|iZrZH$6Zbi9-PR+>H% zrj0lXWW0&#Z?H7t+jf2B`tv7meA#I|H|FQUOAq%t{CTa~55f(uYLw&p74w!0H|=ib zSn|}e8nR{*%ZgG(p)-~=xLoaASx+EswtBfzlxIQ2qd2jGDy^V4_5KMC*Rl~@9K8E z(2XBpdTNg^)-JbJ^xE*hZ1YYy{gb2fUmA%I^!J7v#NW8Dfj2LIu@%aPzw-h|4|eCj z_=!)vwRY%pM;_fj=zZCly}owZe0!*rTsYf?Z@UNHuzBv*N1La4r+aDh&hWPLD-W-} zxp8sh;Y0k=PJPhd|Hf?Xr%x8s!~gxi-Qmm)(mnVJcmKB+|M6mbFcrfoPb;~ScB)$a z;!<(4etA2qzx27|?a2#2eSYhfvUnYH^^325)nK@z=+^GJY-Q_@zO!5{kM@(byLVj~ zzie3hS`sKBAJyU6BuSzmSFMsbcBAb^d+^aG@;BXa?q9w0u^;*P`tptS>62o6W8=ot zYd5cT#&>RSEOnYB)ko@Zhbw;!rXN0hb8T^P^~uMtk7^5?y0zr`$Ij9CX-Utmo(dm+ z?~9(g{tNP~Yrc9r8!zSgiMSCLm-BOHo`yKszq1Xv@9>@DA{WMLzyVsip z{Pg0l&^+_uB{yEt?jODv9nFek_wC!~CHvFq)Y}6%=UJ9{6}#`O_15GoSFRLA(d+eA zR#vXva`@FmmSwG0%MS)K@_RO`%#60z2KZbXTjZ&FujdKFaA|4DZzQ}k!S6}@(fN_g zTYh~4j~_OCdgkm^G0X6orC$1R%U@f&-OlrTR!T7QVf&~4YPt)4SB05ZeWifH2j2S} z(q~M@LNKF^)>WD$QIt4qRaH7?0UT$n)9nO-G)7mYCen_4P7VMA2Z8|uM4+q7d?awz zYNM>NU_m%UVq_^zqA-fIwFWFObcl|uB}WXOnSYUpjMjNJjiLw{0z={~ZM856i(DIx zL>7P;5&{U$F$gQ7FbL8hRLTltoza3Jf5x>v8{3SvKK0+fT#KS`mXbITAS8%hr#BuB z$~@!92?g@NdvL8KbWS-tRjMLFRV6^NX{3nOXsfja6j8{fNW)N7%4w_1(iRm{%2rAv z0J`~l3m4t`&gOJ51hOsbYQ2TD77-Gm<6flUEHGw_nG{tmPU>l@%Sspy!Wn0^HbBZ* za!BM^e4p|M2!MX95;Bk>2xw07I_|roDfx!=aVVft130lIAiFX zv*gGbrAqTG(cd%9nBe47`i&`yLMydJo1FW32M|$8fmbau4C(4iO$rX=q?F4m%e8ua zcXzjejg9q7e)_Uj6IkbrvQ?VaoF(Uokb~n6T#=VfTSiQhV1&*(!R5kYR~c={5eGu7 zjMmNqXAF?@tG|{?sS(kk!`;zvTvla&G@6_16^bk6>y(WJ0w6>Xfiw)pMUKE2a=}=s z6q3MBx2ikLUk>HLjI!k0iDFPvc03k`r zFiitQi~<=3vMLL$D{@vc0&ul3>hEkqBwHccqW`V0JQRge1d_-yjzVxmsyBmL94G~j zvmmGkQj)XQ3DyLah0TM7K9An%uNfs<{r;QR) zcz;ryq@8xssNb-=x0mO6nT^I^nbUsv_H5zrYix3TwtHZx>SnmNcj1O}*-vM;Wa^PL z6_&UV^|aQIHTd~Z4kddH;synqnAW1WC&HsH_+0&~|MB|weCXeO>!IH{_ujAE`MXcv ze&e`!`CI zOBoFLG-FlQ?9Ob6wst+55eWHXncA`zJ=&9qhQ*qp4T~}IDGGoH{~aL`frxf*MBgSaaur>e6|*SRk*nO$gPVX zcKzbPPhI!s;Klpy|Hk{(FTbh(zQf{AZuwt#-rf4?Kfm|lVE&OCrZ-Qpe00rz&rx#g{p8cfND}&NGjme#`UDKY#DJ{c{&jzqYmV z=k;*0R2NQHmCO(9p84Wuwmz`}%eVddeg*hVx$@fYAEbXocK)V8Hne&Y3C76g*|=A8 zxBuY7U;mevR~~-<>psxoZcOQ@#yhLTLSO4T(}bF_VT<9NHhp) zXkv=HL6A*B>|}ZvM3Y9l`tZTDfANu5J+d&mblX0D=S!}f`NGBf%DqVn0etTuzGq}- zWbNkWrU&<4Dm_!E&xQey)tqy29QS&?$z)PhRjpPV3|QX-gD%BX;4*_UkLbf@H}q4 zUI&2Ta5$Y#efE+6t2z@b%@RxfJqjUOtyUC8zW&Vj9COZx!=XRG>2&IC50lBnml*h2 z(R&Yk7noQ0@b7viG9rdS5J?$@5$C)ti+q|BSSh6=;sPZ{aGabqM*Dc_AdppA3L(Nc zj+10C>?1jbK7|D=fpdslIzV!S2#gTGf%VBkgiJ86btV8nW2~@_afZ$r=Lo@)v*eg# z01knH-wPO97{j_J*s;a8Av&K#*Q>~OyRmcNJIG$!zQOxyv));FoXUsY$g&=DTfhsFgRuwrJ zh7<_npmG+4hr(!-F11$EX&A+gWZ zdR@w}9;bPh6-Mn0N0Z4!O5P2FD2c$?xdW?JfV`O!f^#;ELPW6Od=eE29?Gy(mDWaU zrz15TOWU&++oy(_Lp;QzIDW$fy)D@4UPih_&`K%RTs$^1vMgMYMo{hu7L z2oKwcx^-b)kczier^nxa030`cFR;WE;#q2f^SZ zuks?JoQDl&ML8i!EDR!7(!<|+?B-WIZ)D41e+WFp)QU_+W>4BUFFMs^8e118bCWZ_ zCCh&qvEEbPdLldW?tRxE`NqKyC6nk!CvWTOQrfaogDlHOE~l;EJCpWQ`7~E{Vn4Og zdNgL6DqlafaBBS*d*AuHch!J#20!?UFC6$;cJxaJw{A~X`}5^K`uts+m-<@N6L)6) z1^@XE8h5?;5C6?y{mh^IY;|(=(0F%W>nICv(YCT$70aWWGX0A?mwxR0*{AjT{zID= zfAXHs{;7KYbNqODoW9q1R_@?gJZy$c>jvKDCzurv#%UIp?@Mk{r7QMMp2mar) zM85LuTMtFuk3RpNuSCJo?5A$}^zDDxdFf5}{Qkvr|CHk5Rf`{caDDCQo#-U|cQi)Wanx4?Sn) z+s7W**tRpmx_C_N@%jw&`TsLFH+S;nNuOQg4NG3(r6cP?b-KP0t`G8lj2)i<2d%>{#m7wkB;#^0k1gq2{}G0$76cN z*yiRYBJSI_k8^(d^l2YrJKZ+ikab;@>~~Yeha@H(yni-*tE^uxI-HA$S1o zy`=qqzgDZw&(AZ)W*q{9!C*Wd`&;v8=*O5Sit6?HEMmypsgoq}xjjON>2&I2Prbs& zPYyx|ANpCZ*ZolEM?q`t{QNusT)1$-PX*m>*Ef!Rm-&0&ZW#oj)*1m25E(K=>C1qT zNy!C6>s(b9{?d#E<1ASS)(`HK|kD>&5rL1jq zdjBrO9sq1>m4d2m=%mkF)9iIvVu8=A_$Q2C`oHXMNuJR=qQnqs_as4zRL1y zJdtsdWm9F8Rt5t$*X>31`rc@;I~wj>yj+d5wY9aYYa#?_~nbY%?)E*KiLAOkKWL)6w}T31DxASP+Tg|v<#A|N97 zrKZkXUq0<1%87&%MUAwn2NAOozW3%!n5+czE!&YnB(9Ol!J zF*ch{l3FcJ(l88(EMiQ~K5Ov3wSKQ>t#!Wnm2;((0nPmzv=2BVSC%>FJdImvnpkU! zJQGspc^(9^)o#a0qI4N>Vt|C;fEfqG852VJRsjG6&*>ZAF~Iy>N`#DQW%_&lTC)y< zSz{dlmx2K>U;!7-Ijs~q3Z(?b_O`a$oh|}YMYXfF-Q9nL2jO%&w$=b6a@HB;5RA1E z7Y<>XXU-637;?rC2|+2Ps>)i6j!G!3(hQKSBkSTu-7wChFiIly3t)~VS_s21l8j-c zD=ww62FWlktk#99f-tm1Qi!4`opzJ)CVG%Zd#RdON)1RyXT&M`qa~>uUxs37kON-S!+cYl&Yf25IF{v+o~)lj4UIY z#6hPK@pe>CQ_1z6NORhCzyMysAkXN=YPpq!YZ$m>-jcr!Zz3_EMwN-Ya9m*iYQ? zf|aAclWpEV+4&D=hdyG?tFJ0(gFQ5GABSF>*SNH$ZVC`R2y%j25Htp{YCq>>&8nsx2J9~4z z)}eM2#_mNg{==_-{{?Gr~|NWmIeEhS) zgU!Vti026Z{1YYs{F#m|5@UC!>Oyw@#@Bvsu<`Jr13%nawJ-d`yI=WN8y~-^X4)_L z<&$?k6g2GdZv z$oFX2TJ8oxOv+kxK|SH)a6BpIYYWf0XLBToMH#jjHce`-3Nd{U;uaE2TC!H)k0s zGi2}a^sGwBj|57oPNy?BH+T8+WovC5$LG$S^XS$CdXEl$LZ#2H@vzEhyImSu?8>-Fa6=TDwIIUEjWhcFAmmr~YhHBU%4o6Yff?3G1~vEgut zh*_33o6UuVg{Pi+s@ZG`A-1=-z5O%{LoX2WD*{AJ)AaV+Z-45kr!HN(G&eW*zylB5 zbkj{fzi1}$_gW?owY}cm|1*jre=M`$f8Sr`!)lTw`RZ4{>emai^YIf-k|bV`(`YpO zjXUT3gYpTUe%SMx)tNZQtBkxM!TXP|&E5BQZT}3WX*xGIm!|3N?rxT4d7jTK)Zb+R zzS6qV%4!3MeilMRE(8%V2EHYXGX{j#Swv7uS!)<$K^QceO~yHbaoTC6kcc6Y)=ugF zkGVGulPtZ;1JC)kdvDxWGIFiT+PbUvRV}p;Eszkx5{ran3CkFSV2~JWBL=hBFqSkJ zuvi7d7#IwXu*BxUpaCQsOCXCy0)h6WyVZ-jtGcVYs&c8!$jDgk@@?nLk1s3e;fH_l zJV>2SKlM~sRYu$;GU7e&c^8yYdj~9U!9s zC6xjJD5azjh$1i;t%a1;bhfhAQ79T`C*wmV?ksP}j0wR91dJR);0P=-lQH6CI-AQ@ zE0ZfJ1yTg>eQK7lO`B<52R3h*7O$b?*8?8aB##ybhA~z5Ti6jcig1xs*C9|TcD=7slnf1HqECtKJ zCO6Byes6iXcW`j|^454~uNqITzy7-Z(okuoGUJJA?{sD=3W0nzpBOacnJ5ZGtu-_F zKuxfGG&*vsANCxAU_cpB5HKpkF#>`r%dSx_IOqJ#wJlJm+f!LaOcF(2C;=ELa7gsM zU<9OOE|5xqR!1qEh)9G{07s0#%uX;1#1MmXfhqJm#htg^{Gq@4u+B4~Fh*yaIU>bq zTU$46r#R*Zn4H4=~zD1;}n!5e`}q4RTW>!qwPMUfT}QmG&zSxh7_a*%+; zfdYD&2@oMVTgONQ617qmI69}4LIfufqH7=sBLZ^URJyH=5=Mz(uW##`gD=23 z^au{ToK41MnF~^bUU|b!t5>c(+BE)f-1^X1JKfmaSld`$&e{|Z%NPR%=bg9KwgG|? z0HHShPPsAAV-j<_Kc0u}JyCYcwe`X7)!l>9ErtOW08O*5TLD}xjvt-(?s1hpppD`nk;?UNf0lU0#*X;~hPzA&i_;isk&^r0QhE<3}HB zCbM#|wEN&=>tAx$=^Ne;y?sQn&j%UqM_ivy%H- zd-O8D_o2Pz8~)FqSox;cRImB*!`9hlr~1RI7Dm&yNB+|nA3GjKCr|d*k2h~S{MbAH z(JMdroKHMB|LO04^xIxLoqY3+r&pl+`OEFM+`gX5oFJuS=GSAGZn;;a7cQ|q6& z<&IMu-x4~zpS%1PXMfVWAKu=chxj(3X4URXGxN6Dw8=m6{2%zy@A}d2`>rp0#dWWJ zvpD<2`PI$GF1%szyLX?Q{-@7=<7dA8jjy<%;>~5*ch~QK>b2kWE5(&}UU+Evo9WV* z>%%K^|DJ~Qqw~kr9Y6f(AAj`4`48Uv0=V$lJI5E-KK$DC(@*`o+t1WjzJ2o@@3znR z?$KN50VnvdXFvMa4_~@;`TYHle)u%yCozNR%P%~5aQ`j##Or(i+dJO;$?pjvtlnY% z?APA?&hL5WZ=8R}OMmz!U$XVWyME?*@4ojB|MqE10SF!t{xOyD5cWUBhT|rr;`Hy6EUCs0O@>_{--QU=Uj~Oy6dh>xj^Y=6-CkO_0o#QIhRby z=`3cmS+XN118&0Zi_tEvGSZNi#5U=<(vvQ_e$)N3)*c=nT5FSVd4Fe zkydCawbDvSt&op&+$j(>#u$Q+F%U;YNY>#r052~uce}lI>QM+E!jb2#s-#W`Jq3vd z?;JBpDMAFnN4cxPdmt|IlB^5X1@DNN5hI{fl9(b#5GeA3h#fOB7%gkp=7P1BfNk4y zVf)>pr#hY4oB}|UCKo{f@-NWji}+qS{^=sbnUJ{WB>ZLsY2 zx?PX*U^+9s5)mQGin8Eb&&WG1P=K{oE2*?1A_mf03&2j%Q7BvQtGY&RJ4L6SS8ZJj zlzCn#E!WnT@Bi!r!{N{i+!~FvF-5l{J3SN_j*3yuvCYjqFP?hp(riB6-rDlspT6!o zsZ?FfIU-A}on<9l42oPPawV0J64S&EOhf>}U>;+%ZA(N-NP!SS5XjD2r34CyKv6_f z=EKgA5oYt*bT-=_?TAdTudZc9$GTbx)KZ#E9`)lg7g7i*j79`MnT(pMK?ErTFbD6G z_0~JrTl_CA%x&siqDYzdjO+!x7$tS7p}Fz zd+*%QbS_XyrIi*EwSth$J;Vf@d>cM^K+wi4uPk4_atWDYh-qw)0I_Y!Swt{JCK)M2 z3J#f>Bnp87g;XK>=$+QWXdRr3scJ4aK1QjcNV%_w^2mUXh{DG(I@mAEPOsksz|qdm zaJZt3Hd0y_0ZE}$O0yt}ZyynJ6A&pd6D;f zL$Neu7T0nYB1LB65F-&;>z%dMdgq+;hc2+Q!BtL1l#Jv&P@K;u&PO17%WY@Z27}r~ zW|9&l=nzDVj4Tj@REoh9Qy|arnML2b5cUp#DO`T#{wsd@#QLwF{F4*aZ-rm~55INt zx)Z0vX}{@@f9>)19oGCSDc{4rAMf{mucv=n)7SdyU(C!~)b{(fZg}z8;XT8*-twW} zeD!g-b#wP%OCX%R`>yf+=#kGoynOe~EQ9D4k=rX*wp%yt_Li##%TkK6>ye-t!))4J z8$IvYZ~gFx{s21W_`rzkdgK4}%lob^_Vxto3}xBs3t@}-hFZ$4LzPspkPM>+* zeLu5(;=<+&KmYrqt(SiCm1_LrpMUekpXSN_J=%XKZ>2Os@Zp-pz@-9K||;}d(2ee3q;{%M*0?tb^ZKLYqH zeY!q;c>ll+y9d9`A1@wzXy@|9_?8*}v)MZW^gp(I{$H=Z{*`zB!q2|*smtzH-}=Vs z`JGRG?AycNv`d?(PM*DE{<6-a(|?s0`Zs^Fv%7uq#v4wwSO3ccpZVUU+3%eGmv8R< zOn3T<)Ah6{-}8R`!B2khfBkxDFL!CTo?Q6E?v@VgAxtgI>mT{PC$>KQq2GP`N85vs z{{%+BXhg_m^(pVHbuIREUof)uS6;jKyr24XceL|czyG0=Cr*9m*Szjk|MHdp?i+sc zjsMqoyRXadefF2%v2^Fd=HbzvzjA5Ti^HtkP)b20JFkB8kq4J&)9D|)F~l#kmgjZb zR8@Snm9J3v6^6c2j(Kt@(_WpbB`NU-3 z-1V$`ITR0ne!Cnl=RE;NG3T`}EZM`6eE1#(DMdee1!YS1;;o5~u zvZ|_1r!yQ5x3{;G(qn<_7slL#suz)w2@@}VpHSl>=RV=`#0Mvd$Rf;sk?B5}Oa_BN z!l~2gwA1Mf27{DQllbGs2$5!$x~^xl*&?n!eK4oon=}I?7`n)+FUwMEJsb{`+$b4s z6ZTCloBxSwuQUL4P&TPlql_uO+&S(Z;c z@x){@Ns~YbVK^L)$Kwz}Q55MMo2HpeCTSAO^E}J4q^0R}I{W+kv)ODg7?fo>91i#P z_R?x)5fGH5`AySIr_;rCPCJK0|0lLS)t03&&;;cZK%dX&F~+5(rSw+`vZq^?d~pk8 zoa9XDjwHp@LY4Fd=I=uYJ_IHTF$xs82o(ho2m+CrowGzyYYjl@a;2?NmSz2ZzdqcP zN~KXjY9+K%N-;1Z5{HmDcmQTZAVfq+A_&S%)+sU#+_p6;p#(-mVvfP5&Zcx6QV2jq z5Fz;ScvN;ey?$4!+_`o#+Fx42%xEW&Jt!f8LF)_+is)@MK?1>yI*S5OKogy_F%n5F zQ7VVnG&NQgGWgcI7_jUf)^lPiyPY5eDv6oF%;;{Zl@zXJU?C-NP)fPBMdn#G@0Pvb zy^nD=KFm#ab!&HZWfd4hV`r_OSG0P3ZQiuY>l@kHFc7ug*+?ve6v&aCb2hrc+VE^{ zwzsyfT)ymMXl--i^l7CPDCwL9jtr!flq3bBGExZ9*a|#K6vPpjjn)7{$RGqGqLe~p zrm?LwpcG0e5S4XY)$>`byWQ^6Qc;$=-{!Nno=x|vxyVoeMad}}P#{x!NjT@MZ-k<< z>~y3KAz)-BRhh|z^`JndLWCloAkPh~5VwkRb{bkzxpuf=7f-k#&@DO)CT!c@_m0nV}e&B4Sd4rXNf| zWMT^5H^36HEIY0_R7wq3m%IHEYw#g}L`I4nj~b3yuuzPmbw?iw5czLc&q73uwzb-r zvMizXJgcOVS!N`YkPo)>WWf$Tx(610YYAyQ`c{nz23ZTD_hsLX}x16 zlXvQNs*NrTDy155Yb$;4be-rnBX*|{1I>-3&Skx~#);>?(tDE&u7BmhBbA`Zb;m6a?rA)|L$VN~X} zwkN2cxbBA2MW>RaMvdIE&vGdb3PyK=s>oJ)3#g+7Em2D9(A-7&o8Kr~mK#?HBJ2 zCx6=bmwSI(p6M+A{c`Xj?s|y;03ZNKL_t((HGIwb4V$C!!FWCjAxvfmh-5OOQ8dwo zdLD!C6y3Y-nB9BJyPr7s^XESM*zmg3`@+uq!^?Iulu8zbL=ixQa7*jn>KqGx`}OzU zIdAH#?mt|;`imRh_Ock8>1@8gdg23v>k%LOAzU@vFVX8iEWhz4`oLEgzuPqb%r!6A+Ij-=FrV-2 zH?ynt)%M`Y%rGqOE z8Z{YY?cv2o@4EZ>2ixQ- z**iQx-QAiFmRG+1C9gYq;>1Va|G{q_{hBVm@~{5+{ZH;5ym0zs?e2HwKlR*~zw~u? zeE$ob&M%W$b?d`#?gPXAZ}064s_qY5kB>MHAW^NDRrS&L`G^0TyZA$AUjN-27j}2w z{+{`j`iU#!`Dk?Fba~>qn!DKpA9?D^_{#I{yL~o2uT%*!v$i!w$jhb;H6SU2DnsTR zk&*K+vZ4GMcb5olPV@nBkme~mWc3lj(6R4*Yfi6U;gD^h7hh?xzg+PKJkf9oIZVeFc=tP z(xqEO5F-CXDb&GVBg|Pnah*$+G8g+YiC(NZZvuFu9ixcWrn~;DJjre8@y#^ zBZ!%eRIX`-5}HC@WaIIk(h7h>4D8$BVbYF63?W3FXC0$G_~5*h%4j741rzxI6pOs* zmfhe5fh-3dEoD2<(KX9$px$y#8N1~H4Qzm8F z>k{ELKt{%xBJYG4>S_iMyS=jY)x1(=ua|c+YAFPc6j2JPghYveAqK%xYLgPOP%=PD zK~1sG!gFNTc!>R|dME@SwQb!tsF0DTvqO*&D58v})It~r9%jQ{zt6zV`B^)S!h;kh zXPKFS%o$M|-L!RPLfI)zW)2T)DH{&8vomL7%GRO~QzzGW)V6ICL!&hS1>eku!!;lq zY=|+K3?vSVOz9|N>M0KtC=wB((8?fj^uamr+uAiz>FoN`H#75-=P%7>k9ND=G9Mo7 z%`cqa{zUsgDnqo^*920jEX%Yx`ivwdrPI~nqtLpeH*3r~nUShh##Xke?a|gH(~4

=yTy}f8Q+3E``@igLEx#R?fBmjsy7i`hDxx8+_bL=-JpS&;Bv(d6& zsqLg4#~5eMsD?WUE>XnjS7NN>e6ae)m*ww##~xmPWur;$%qojFRg#cSIACQ`|9$v%FU_k zZ@cG~8~tsg{kz`ub1ylySNn%beRmz4`X@7{-OGP=Vs*IQ zAHnH0Z!dsiuIK%MTpsqXhI$7MPOahDGdBze`CotFBRV!qS?9^az3F_qx>umC*ZM{7 zl-m=6x{?j~`LZd%fDq#Nb!*+53bbCepBOGPmugu!5t5_OX5DaH9$ zRW%xoQoPJ)H0t;J>A)6&@r%-^6t|xqDrIFp^w2};u$PvWQkqRt(WI{=tx1Dc(=-bV zoxB7|cQl{R=kxh=Ivoy&!{Kl`old9Ir1L4uG8v=OZGE~ZYmrszu6?CHNuJuYh)7=Q z@pzoB?Wt3z`u%=_0qL02uHfl=oAfMSU~_GH<>W=t>-UW|u5FK8wny8Zh$usF%xsKK z$%Y{Y1fWRFfQU-zrQxtY7)+;QVgiIf0VOaJAg0$l0H?ENA_Nu^l}yQtfE;YwMAvF# z1Ts_Lzzl)`SRkO_Yk@84(i>wkV`8MXtq~bTPpa6uO1CmAI?Bixi6ACLHG)JG41$iN zt}GBi2tmw%0ze{z!02OJTcveoGARL_kJc(8DUZ@KiJ~OR5uNww1I8F_t3#j=fC#h9 zNXgKcVNTKahy8|KcYWw{bVL?IUY3z!9YPPqw5eGLYg-U#j6i`Q1dKt*h{yyqZ|B`k zam#Ht_q*k}#~&XZ9JFmqz_Y4aTU~3WGn4{zjy`zrq(F8#lLwAcU~taa#%P^o##tMf z6@w}=WX@txVV)^1r10d0uv%-Q6@da)M&}fu3LtXb=@cP&EoE-3UNO4wG+GqgT_-LdKk)n`{xV&7pZeCS22hIwaXS&x>xuR*b z&lLWinVYutJ^*kCQ3_#bx*%NBHnUmloDY|;*`%y{{9FWN z0w$oykvRIJ4?++^#^@2zMwZJzw2Gtc$b4!qo1noR1exxwkw zdgrAO2r`mlUw0%)#Ze3Gr{@o<{_X!%h3S{xd1EN#G`M=UcjClwNoQSDnbyWAlPi-+ zBAQ&SANtZ;#f8W8(r`P=F5maO&CBn<_58=bM%;M!46j~4df&0^Wm))tsA>);(JGAa ze`nnXq<&4)dr2s@6d2)I)CND`5ZdkX8CY3jaxfEw7YxpCw?l#(6+Xn)y-jL z=ao{X+v_h4I^8l{eeB#L&wrK+*PTE2B)gOSB0l2w&OzMRs7;nncEZ)2X60&|O%7;X z)<5>`%Qw8aD5v;V%;ubx6^TCz5Lj>wx6H=h(M;YMZB~BQ_uT%b?Tz(+JKD`FH)&(2 z8apidlhr|chq&d;H=Mut@!rxVJq6HHIKlr#zSdcBh;Po6t>E@@X1)m_(hQe7|D+(l>8Lavj*{UXLE z{XPNZrm-On0}DH^);eVzCoX)E(sPZG#YGkCg7$v8^grzZlHv8J>4hlS zh|}q(f1K1QbzLWPZmmu8k5X!Lb8}^7B^_AGzh7(*l2;);OUj;i&Mhr1C7Vj_U#&`s7gL`as*D3};HxX?0C@W@=`CLm};l)wU!8JQ6%AuB)t zhCtD~HbyBB8K9|S46(Olh?y|<1S@Ug(XK!U5CWwDV1N(x2p9tZ5d|h<_SQFTUB?(H1PnnCM`9MdGF%@l4~5c%NQgFC7FdN! zDI=tmnnQ%q;iTm-ogR8?hl8G!AS4O_(OCs7FcM?aHmC#}*V5ss)4ln;JD=}0^}+UK z-|2PFKlaed+KM)rrfDXDWfE!3IYt4Lo4n|jO7+U3gUmZS+jcr#>i5fTUX;ane6Ul)e=l6dKRcPvbT(2J+^HfVu-P7y^Jx$K&mxbDWe31;9LVo zu0#|p35mdil#CGALTa@Wlx4+<%{3`#G(NP>33i3n{f;&wlC$&-;qL(;P>jrYMBfTQ zvQw5R8BjT5JOwfGa_WlbfzQ$>wTy_N<>JG0R{jRU=%9!0%h>7%;a=B_reQA zib0D^Nd-VaA;zFZhX^2&YZ@TvcX~_RCB-t6nU+Fe@Cf$B2khnYyvgSz|J0aLy~Gw9-mqU0JCF6Cmp797eJb1O+aHHd07IKp;>`DNq8Y zw`K-rpco@cDLZ9>D609KqD-F=Kp+_QuFj0?tZghSnTOag1ff`gKunAdG9jhHxMz|+ zN9CVi`AFXXbZ>pAH;!oeLz3ze7&~*^Sw{pK6%x%{?Yc;N5F?Of4Q=%tLiHlg>PoWs1;!Va*?Gn+GuLg zRxvt{0wRnWKfCSrXB%Z-? zyr{GM@4L&sV+4pj$Bnl)arin4 zG6Z(+Q;M)#mPSo?j*l*#?MZifmBjTgmK)8Du{c()EFWL<6y|JgKDxB~)TNJQBwJ}J zqN=LLbJw)KLB%MbZU6w}SKK`-vxCuYX>_++WSL%B?#`xhf8XMhkLnCAo`2-dyKgak zI9ysnbiQgUH=9kXL)Agd{GlF-jn(CKKObLs@SI=Ipt*mLU4O%B|FD5}f3_@+J?rH2 z?3{|;`l)qrOCvfyDf|i`f}dmPGSx^mdaPzft4?1nmA9OFjAH$%ZDv!L;_&dGkW0BS zekx?1^>s1haeXrU-oQe#Mb1}%8JGy-J}UE z2WO-#ihNn**&OT_>(xFO43gfXX_~64QjTN-<%=?-geH?PV*!g3iIddHd7hs+`eN5k;W!a*uc;N>~ zmuS&7mWGF9y+|I0MG$@n;lhOr&bc#Z&MfpfaIIT+p}AkQVtt|C*a6z6nNB9ikmM^1 zF9b3WiZtl~q(Z2p{gsqLDw$@JJj<4sm$$B5YON=Vcr>d-pd*DW@{wp6K?o!uqTq>0 zMgXC5t%j8jMgRm##&GePQWVn$}?Y-m|2t&|SrgAFR{n4-guWTQHIfD##y znSBgEK_nENpgwa()*UvH47dQq(qL)A)=51fI{%z0|EyUfP%SK6h)RxtyqBRcMsdD zlNT6LF)aWP00Tm5w2dhc-#H=F_+WqI_;I81x}H@{m6s(dt#u})%5x)xM8X(ih!i3L z6EI0&mO`QmE_m-a`dq7CM;5x%8AyXdXBh+g=%rDOx0Ra#V&D*f&?5u8;Ag2)PKeZw zp^QXi6d*t_#WcETp`#5_U^SZ#hXXA@3y?}8NAli!?_H2eGeL}2DbXo9-nP}Oaw0Y} z6l`*Vk%ep9(e9+4SH4Xq81~-B5K{CFMFIw9;>gSh%+5Na^P*ciYeNXR$`G-2R-4jD z5Qwd}tOR%w0|)k&kcpX$)RG~hLV0HTmW6{QeD%%;=US(!eB7u28fORsSmEkTbB+_v%okxJbn4nYa%~hmcI2R9_%Xu95G@;&;W6$TXdcq`rLz$9zS;a?mM4z=}Vt~Fq!2KeAY`47cbm}@PO1s zcX?;+B>SR{+H9o#|8LYm}>Qoi%Muuy75!s zy0xSE{*zaBuO95SyB0JRy;2BsIGN6ydBa|p#p-aFI?@LnRhFIk95P8A4P`D>bSgSc z+>V`<0j)gTIb81a)|XbU?(W%fJGHaPVQt&7Yk{lm9=~=LZhrsrAKrE2y_e403ojTy zJG-wNhMq#SYV+9OruAFereR+iso2v_h%gC}2rcH^ExH5BgR|ZS9~?pp%gZZ=;d;kxbmK&?4Isk0oaO`SN=DlgCr+dc%@j(L;&;*$ z<$0cTN=Yx2o+6$2bUIC}eA~9^TheK!XHVwcB$Ss@rV%SShLdzBUF5~qBFz|o$3BrX zIZ1DmB(k&FY&06h7^l1dOQHmwelOe-aRCX~M*I~IMt3*J3lv@FZg zETNQ28;^9mcXxM(!{OT6S}OESAxnQJF=_FzUuf+mqLxZs^E6+RhoWt5)zsQ(1Ym$H z%aa%(>20)DLSTr2VldiddEVNFiGTw_6u=-D0R>8dDzzvH0Kt)f3~6B2AY#)3la?}A zDq>t`$CZP-=-xZc@)JIn*+`1_YZd>-736(**3DLmvv0 z=S9IpfS4D?=S}5>h#HgX0&H;B*%+fl5u&6Js)Nx)sUpvHmT6-GyUD>A z0Qf{T9XCmy#$m> z6Ol4TNGSw*iqonVT9N<>ERcL?5P=!J56H+2S!S|qK#{7d7Dyag^6u{w<@XOX<}L^W zG)M1}O3IW%fB?N-uRrJ;lqp)6nd|z8ktRv#dlP51dbFAT-cnh1x3_n^&bGI=&zw1vX?-}G`4|Y&fSzc3sW1f>D3f;tfYw5x&=QM6mzg%Q zkU+kvV{lq1=Y35PToYp?4s0PQV2GlW(rE3155X%TT8I)*AQBUEBqo6(xFCRq5K2fR zRrFDTCQJQd(9W#_rBDXzqYnszNN^NwV?!VeK6pQ`W2tf#0bUIQhljR{eiO4{pT{W{0KKStQ(aQBVoamN= z{n1WdX3Q*v%uGS7oDKX1f204O`pXBd;py{7{)JWZsqtRk%Zl5|oBw3|%JIR-cJlEZ z@47ClGCcg+wcaN?n}5=@jlerL?H>&O>gw|H`#QPq56a%)<~r1C$NtCXm+srUaw61g z2V0_(UCpo^_Vnle;%~lw`>>rg?Kghwp3S_MnQPXTI;GAJ4iEdFySZ8tX8+9LD>f%<|lc@(;lD0-@=e`7hkRvq@Mjqa-Prf)tvIC z+G^TShncRX)pA|Eyq-?H`)k0>jg?ThMbun}a4=T3?esK(^UXX%BeenNs)Ivr;$%Lb zY>kx=FPPWp^)h1s03ZNKL_t({R@3&(jiNhT`s9b&e)gWHuD+ID{oj_CzU+zf?+f{t zJNcmd(?{o@Yw7@2>1p@W!Lg0u4U=z$7eD*ei0?!HU!5NeGG;fu-}3zVNQ53<~QEWY49ws}sF-x1LS!nVaw#iA|FKL62`o4uXg z9ou`PAXDz#xb`TCZ!ENl?K+F59NayzPoUW8m8Hp+npTWwb6Z0W{V!I2j`u!kND?Ry zAtWL>;p2qK7Oe9^eg1Sgb#jHSuC8uwZl->yM2jv&GK+7yCWPc9l1aALRI8M*X3~o% zUHC$>zo3v8Zq!A3PXdm0T_^cRRaH{TWNb}GxJcU+Py1RtTKY;Gg9Jd^wr!dwvDfK1 zlOe%-fA;LzbX1AwPG_Cae0qu$0hID*VvK2)ScK{<@NpWGQk3N4k}eF*Nv@L=KB-b5 ziFOtXhqPu{Y$VbWV6h2Lu7ETcEW$t+X4y1&q=_qyE{ofg28ncdiJt%4)%vwxlf-B- zfTg_rRCl%LD@ZqJZ*R{SGaL@nN?~D)UTFFkaQ_RdyF_EMvgjzKv{Fnd_78wrp!i^FiK;9*Oa1|o(={>Krx?H(x|p>OkU-A z=DeF69w?J3ZM4pe$#r3Xkvzp10}(R^W&x}aSWATpg{BZFy5L+hpU9GD3OUO0d0`0@4q{h35*q#+O|H;%6im*;J5l!`#iECn(q z3sE3u@BkpE^%R&T0sZYGfV2__l9_=x(-}u1A|GP(A@~5q3=t`|wr<-BI4YIelMz@z6hy!b0#pn!Q(5p{ z2~*}8C=cEsD}e||C?bHTv>#+-1_Tr=m{6EHgw@H!XmaLc=qOzX#59k#$v+gtj*u-Nf1d$K0Dn$(CK^fqU7LpM{fJ6%rl5Naj1U7Di8*J0KnT)|hW88M5w!zTGfLFWC zAi$QO85%P!3|N)~!crNjG*Q(2=A1LeJDhX&-u>f5-U>?epI)m~l|ORD$`>!<#<@4n z{r0!N@7u)=ZA~tIFgq9iwWZzOt8oKIh^^&F9ve zn}e+nZC<-{{q$8;Z|9Te*G6q~aXQ^N*}s0JtnZ#qe*NK3-7}un(|J7@I4Wig&FsL# zteW|gTSu|9>x1on&ph???a#jdp*X7dPi~bjzuSHIv2y#0ZeDR5(etp(HrM+K05jV7 z=wRn{mtOQa_esCpzd5euk<)vIe=vL)_3=e9`^C-5-wR*P8IhTeGiu-|g$KC|AB)vkXy3 z(P;Y2-qABJd+}Rt{mMtS-ty7Co;#XcG+^?q z?_+J;ygw}YdAia&IeU`RB-*$riUjBr#!Vue1Wyxm?nEGocTckNG~H=qW8?7fFcH$- zki>*OJH!lUGp!Pg?rf$hSUtUd5^yKoc?Sf$IG2R`JGD<$RVmJrnNLqolgOt7@kt+_ z%8YIRZPzzQ^6Mlw?`)t6kEV%HYinzXYhT2~#kdTer_VIOZYo2 zW>V=Sl;162lGb#Rs?PKbXT#Cb-;>EWQTqU}x3`zh{>H{eH@~dY5p^r}nTPn+7-vkP zZ^;mVNz=`mrnSa)0jYoxLR1w1jZvDWNj3xmDYATXb^Y|{u&$>F;0!^O!@Uy(Fe&~< zfEk4&NFZa{HZaFQmY@3LsbXkbV+@Frq9tp{XiN$M1rb0_ck!mG*-5YHwY7K78YBX= zWXdcrvP`_Mn%W01KuDC#wbmF*hKw~fC#00IeM-|SvXQziiipu zW08TAwL_nmvYUa}>%kzG}*YB;4#-s7+ao`Afsn!`o01!j$*auCLCYBH*v&1MN zN@ycD(W=dWlsS4|S94?4p|19JvOJHX0u7)V%7XV6d&3)mUQ} zb+!&R%eJmJ*M{?XQ|86i*3R8m?y|XyF*eRsZ9|3-6;(9Jpb!8QL7d4%1yw;K04k=! z6x-M;M@M83pqG(#5>vDrh%!ZXc&15}pez8O$m}FW2310%s?moSBC`mKu&{9Op{d)Z z@kQYVgEDi7V39~fRRog;Pr-meq$sQ)&gCj5mf;M5z&&#hT&@?Ug=f3VlP@SfFI-CusRZ0jnD%4=flCzrqRr|x|3y~AI8#mS#Ph6_6Q zrC#-U^Km|^f2x|<(KBy-=Jq#Vm}Cd{&_D0>wkH1TA^Y7rek3aO`H$C`@f*yYFZ~WNnFTLa18&=}{ z+&Ne&ZD5@hibGra(C&>7kG}Wz@CP=gtJ7QM&AscRC)>};@4YZA-KW;i|J;>(zW$Ss z6x5Gx16mc%5rRQb60{SKdiCp<=vgi0AbN9LN{P@;K_D@eHmudEO7wgAA{?_TZ?e&Ijr6MN0 z=@X*|vJam0g5Fs9bvM}mNB6IO^$)Be2mVoRUfEyWZ$A3Y@Us~{wWC*vPw{&Ow^%zNyNv$b(|1$Zf_We(_#$#de65ps;;eFmAc#D=7B&e9{APY zd)K9}dP(cetU6fR7+4!w>OnuBzX0+vQ>bx*&LM;}J}E_8uCA^oIGgl5DKbA%=IJNp z!wiSRbLY;ToSZPTb1t#b3Fmddaam826hSL1E7R#T-9$R<*!eg+vut{P`sw%kNkX%; zv$MaypMYtv*BcB5Nd}WT16{y;ha)?eXGdcvr$HjfnK{`~yD_>6F(*O%vNUD69!Rgb z{I81yVWN)h?o{&WY0kN{Vu{ON_OK>2jEK|eG&K{t;vv1lbUIDm-%daCEJiuA5vRJV zTkv!Y%LGT|4q{z9v+4eE?l^f z#`M;8-6b+5kkA!=pTX-K3{mE?WJMKbLPP}wG>cHz)>>n&Wr;CHB3uB$7@42FjMrAz zwl_D&V{Mu#fvN=3s3I%~0?H_Yh7f?Fj~oP%IB?WB=nn>Y8HC9?G!T93LmF&_fC_-t zxYRgF*xZm4!Qf+(7p!e;T-ZHN)&?FUsDc{zAQ%Av4PXrjhR`8oM6t+8^U|8! z8Uw2A6X2N(dtm@1Km{d1Rb^#RB|;#It*{8ID5|lR$goCGC7Yx~YKSEAvq7T51~tna z3o{GHHa5xKtB8t9m_UXws!NT$*mxDmjB`MREe1uu4MK<*nOh&NQMRa{sZ$_`L}`9b zX0zNBvGp9{Y}Q0(M2azvC*!thQ%*?;DW*RH2(!c(MS;nXvw2ZunM-ls2@UEQ!M^y? zAd)fG8E$;tRIQ*

y6#fN$K|M<+YyH;^oWLsSGRima*xk;o7l03`tyh(Tpx(s+U3 zdqOI*+@?Mzks&fabm*rEYe-$)B>f4H(f7}nlrF3Tl0%SyN=Vj_MM8zxdSC(8kV5+-tB6-GvgqmtA7fw@03bbkPhpM1infiAMK#s{5(ry^ z))Fe9pdli#1cZjIBZc4`LYZ+0F$P4Js%1q$O5Y!Z1k#gj9~2heWh6i#RUiUT5QIgz zZ}R&h0GUPYN}wXDAV8wb3Sf{75g;j0Q#XVPEWKV&jhWA8)wCi8MNkBR#RC9vE=Y(3 zsG^3@dyhmeb7e7{&BwQIj(q#nt6%%7*=!WJ5lOo|;|nPRpAdVu%igDQP$>4Zwcap) zAot%izwoW=n&pW2i68pdWA&qs%GEzSj#rp|+gPBGkVP%{@mtpFsyIor|Vzv*0)XlVa<&VQ@H(f+cc;5-*d;T8I4^v+!}Ii zZah8ttOqXIi~igHkMDfvkALi+{Nu~VoB#g)AwBt#Z-nXEu*b8?%XB`uRkgle%Zk^% z>Gl7q{r$^V?wdX`y7kPB%P)ONK0JRgJ$~8c`!*~Mt>f614v0LcM~LL_kk|{Rit!*e zm1t`X41E5c>ET=Xw1+K&&zf`Fla0bq*0TdbaBOW>kb}xsb@QT&cl*QX@y+8`-q^eI z$=C0F?aNnh*z>(|ddcehOqgcnSn@BdtFOFx;k%mo(@$RgxQTc7@(4ze8bPnP zD(0_fe22wrg1gMogfMWQM3&lL7VE$mMiZ@pA_vFO&y`y1L{WQ|Gzut)A}GcvfSPXK zCO1?V)<%&wH--p9XD7282T!$Oe&O|udh?lQj&7dpz+kH5T0%5RYXe*AV9>+1ot=(y zG8XOW?H3=@OJ*qEziYVu7UFZC`X7Ji<%2h8E9GPyr{nhO(}&TF2dj=|EkOVIt7c8g zSWHA_H*U5Y0h>&pi4sm2vET0}KW>7ssVZP*Yi+OBOJFX^^pg%J!9IKTlepndL7wRL z-QC^9`=%~IvWF%+>~cO#Y8RZGoUE^}U%!66W4H%{L3-1CaBNxPEz z2AwoKiB&q5IvsqH!F1+<^v4b~cW%)na9WON1hfZRRtYJ@4$Tre7*N6m~t6d zcMgGN_j6k34s&+|`SPbuPg`!JEFbpr#IY24*-hZ;-Y60IUF#qnc{V zih?B~ON0=;M(LNmt&NS)&O$TO;9F*i0szRULMjN13;-y}{{{#|rpQWQB}QbeWLMq{##&Gid+TpF&dR=zDV`Kx**6D5F`a) za8yxY1O#uOjfNTm3rZ=ATsWY5XEYIhsy5kkQB@R?ECLE3fHfwPrglE!Vz51?AVrlF zaRQ(!DPczgGjmXlnRS_SoRS266af}NG$4qghR9kBZSbwn95S0&3yI5!M7gcP_-N8h zYXg}pFT5s>$r&&-!37a*V7hq6v~HATX;nWULDu$+GqcdgyXT zK!8c#urPC`D(Y}Lfckt(|TpL7L1{$4cBfSdg0ykn|a<72>?iFky=7VN)?(e zln{`t@GlsBPKriZ>;%d*f`hUm^q zmn78HeB^zcPsga7$Yy0#28rZj3^Al?5v48id}n)y0{hyFa5Hb_)y$)E1Z#}3b|H3y zD9U-BiRjkW*3FxT*5pO6ztUT2<}HY>4pxA0G#)kVP3kTQD~KcnOhhI}Qo^$~5O5F= zh?%vD8ihGVi3U=Zys)w+<>Gug$Fs(frdNznLu0Ko#ws8gle-={*ERtZkqn_F0|KGq z+IzOGcNt~Q7zC7{5>eAoi}Z^i55{0yw?$rNF88g}^8|%eQ4|><3dYooKwWG|M2U}- z1%w9#LR}Q5lI#`f)26uHBt8>RLPRBWXc$EnVf+?}oHfj$_LDaHy3O-E)D1V0z>0Fx z&Z8x?WSu3@7`#C;K*GPcM@=!9<%2u!I`}(s`kmvQf48mI^x!+j)6-E^ z%~ytb2!Yx5djCV&bEBvJ#VhW6%VUrJ*N=Ya!*BllmmOc;|GS4xu;1 z)vU}v@%xXSyKCqC`W=UdM=QC(eCF>g-uspB{nY0_{#IW3Uw-$W#&Yw*>mI!NsjCCr zKeu)V+0BRyVLCgieC|iLPQ%1+#(7{XD0pCzO^PhYVO&+@XY9H(JKn_ zA>Y9beo#{wF8L$7BDvp=_I6v32pU zfRnP^RO*%PS4;DY<6j!>KlX)ic8w`v1pw7Pq{SOB7 zI2YfN4{U|+T-*4PzxEAZ{F}f0C_1g1+H2)y3i>S$zRtRTU*!K8;itur@N{eV`FSb6 z_q(V5zFM7!+#^OJG-`5ZEr?iDK%lm6l2Vq1oyE-dVlM+yajn6A+t#!Be5F7~!#lP& zkB&!^qtWbOx>Bxf*wwXuZ;RLKte!bh7kOZ8FIV!&5t=G@Md`8Zsw9od?(S|HahllZs;b80aboKe985Vm2L}hq&6SXP zjB#sgD~+mMRNX|WkmvyJ#fuk{3V(Zh``o#6ySuwd$DiP7(#kKVF(#vG0>NE%k??4$ zUOLd3Nc}|8cM<-B!5~SAl3*tNmtL=zuyv;_O1QSu$t0`5(b18$b}$$$CtY@a;^otk zjyzd)CzDAsD|Z%x?uDoZ6tG8=Tu z*d^_B#ar?v_xt^16=<5~#*G`++WYUnKf&vy!s@g-pW&;$_3daf5|zw30F<-SM8+Vg zHH4N#l_MK#2tY&ul*k~Us(^wq234K4OVq3XNNsObR0O0Lqkv?27GqnM#l2VV z9J->O&Z^lw#@I-#LgNWUfyAJ3h(oOEee^C*v9j3Cz~|_T`IL`h!(w&Css& z`bVRa2#g>Cn%FU1;BL@_!chSj5ETi@rZgYVffSq}1Ytt8Rsd80&l>otJY-=I)uhET z1QrAogsgEyRu)hmR0X6{wy=sCKte^77(?qT=ZKPn6-X6@K}10j#fS)k1m9Nk+P5lf z+ZHYMP&IP&a~bgrNkNHlk!Blw3y}2qA|feD1Obo;(MSSLpdzX6Fhn4tF$N?81yJIk z98@BEhy>P}j0`0(gaC??ssaE-O#VeNhVmj4mgu7h`zR<%2I4&I@1Fv~_V#+eSEQ77 z=SY=VBj{PwDJ=Y@^8ZPK`TrAtk3~{h7-NWXmpN-eHN==&w5Upe&SmMljfhFfBqH9Y zO+?OiF;O2fODn^bmBDa6Jtcs8URgsZ3W5rNXwcc|bhffS^fAT|uUx*gyS}+z4i0YK zs;f%HoQx+;^tN9pqHjZ%IfG77jZuy4TR#{K$Kxp|2jHZO z1rP#JWdQ+Y6%6fSzJ#gDW^Zjc02QfYlAN$SwNp0%UW#-7r=7EJ&WV~q$3 zi>M%=1(Ro4j4_75ZH#IR+QOm*$I2E&NYM})ghgPO5TQXZL~4luW8@grnKIA%s{FBs z|77++b@|G!%W{)hr0_gsA^*SsgcuKh`0(l%s`p`fd;*Q{4+dMCTgB}xzdzS$_3n55 zy}$p5AO87Qz3w;r{eHi^bop}sfr0(6zjpr8H$C{!1EOsj12-9u+O{dyH_TLw!olsm zPd)+{c8bll^`Yr`X_~ghMs-3S{PyFI3d zH+C=dHg@8-%QN#odGdp|8g~7a?e(oyBTyYp#W`O!l#>rdZ0+o?`6D}$-){JCK4~BP zrnQYv+Gx2NQP#^H4a;vc=G{C8&EK}U)$ixot*d+YJTyF9ceVuM+9o!!jV(_#%p_K* z0T9Tbv37t(mb(&ZW$+isx1-sQ&6;<3jXp$!I_PDJR#iYLHm&RR8sD-66vL=!jL9?a z=S>`MZ4PtkvGo`%lV`Ord)Z5zbMsNt&f3t-In&;Jt-rpp3R7RYCi4wOv^ebLJu+Me zU)O-;oc-luX|Rsw4?`0GgW4mgvfWRNizStvf*-f?xK+b}!q}_Mh%*T{cXo@}>(U z_1=%iV^vM3KE{}&LCe&8SF0qiLU)?d41`{<=bWpm>gLUxB69!z_a{bwFc_pFlG$qj z03ZNKL_t(M)90tAMFj-`02Nk2LuHX$m!+GyB_k{;wBt+`rIP$`fSB19m_3&ptHq$- z)H8@+!H6)338DxlL^VXlI*FlagQ_AxHLJ*SsN1$_Tkq%5W8thJA4QXho)Ce7qKHTo zmpfsJA!b>YJ9lCCj+OqZ_Y#z|JQGwy$gHSIz;MP_s)8{{Zqb`qh)+a-8Pp&EfdYVm zG+j~`qr1Q$Su!9ZF#?OqSso7|utttiSXed9$_)!nFY$y5B2glT7?`72OJ(7#0pYe? zsGy0E5DW;O+5Q&OOgY469@|EgQ8h=gq-xOtutY`@RfrPPNkcIpf=a0cWvvsH1T~e( z5Gg6gNQ#v3oT$MxhgE%uX?Y|7MvV|Xc$Ycr44|q3G-SyDB`@OQWrZ08t+Qpn1cjys z;iODai%`{JZ*OGKWxGXDI_Ab$U}jVS1OQS%5kx?az%LyB9ua%J!Z|ma&5kFN)Vw=A zJxvK>iSQ_Uy`t>pS&q&`l&CSBX%>Z9MF5BpQP6A-XU!a=Ze6-?baLS5vl4SilB%HmZEifG6)H9^>AgWd9A|76f# ztENo`#$vyoSJp8S;n`@wWS_@0nGuoByk*KnNS#Y8eP6A0%Y2W5GNzjW06}+OVdgBe zS@!H89&!$l3|LwoVgQgtT`8$Z5g~v9YY~|w2A04?xY}Dexivbxersi|f8UE=w7#*0 zaPY#x_eGw+?nhqz(jVD<>Z_jm#9NQY&HUu_q5t@M-~Yh<_xoRN=Cc{}dO!2F@3HGY z_Kuwk+dr_``<*lpU2_f3AA;XUe`}F~;E)8D5O-hfd(; zi7In0GNwATqi zrWE$3X%cIj;BOM=B*>VwJzZK(%0`?{r<2JfJvo^y6WC2`bdvX^w>~~TPB)IxXp|W4 zPMniM?vn>}A$klUc~5tDcW>Ujxwf{J@+*`6yC{mmV2~`Q%iwjHpI#=a;cPrsDr}Ys z?9RWN79oZ9boETy$rF@cCe)Msy$i-!4v$Z7lxm(XNoE+(rlCat>%&k^l(@7s9>y8qs(^T*?H3iJek!F0}q z$z)R3_4fAma5zkji*9)EXZUK5!U_O{3*j{(0xZm}g3KI|(tXe%qA_?@eTj&QMAasS zepz6kbGy6q(J1)PHnDInGJ~4H$Y@xNv1%MRfEZ)r+v|sWgI?bvsnx0t5v8AJmXMIq zVz0;|`xrD$-~!OutZr-0T~283x%d9Z-NT>h{l{=Ce1&GR&Y{8Zcab}Sri@_pTOc;K~`;tZ=K4HZDjBLz@Jw2S$_aHh8;RE5l$#B5?}I7Dr$)@D}A%p@f`E#%vZswxCv zkid{4q}WsFBLLJ*4a&G+<*{w}V1HsTJ9mB~%L*?OGHE~=NU9Np07)2MK={6C+ozs> zD$ny|E=3|yO|^LE^+}r)3%5QMI>N$5mghw-ys!%;SlP58_^`3ET1Vd8+zRsZwKCev*N2O$?f~IMirO0#VGJxP)-&D2D2#t;rV+>_!jkWW-SzTRy z`l;J@-go7md+*EhoLQ_fRWqN>W|8CK%c(-<)3m47*t|?05oKtb7A!b&F~-?+-ZU*) zYi;IR&%RB}O}fpb2fbcDZQyxs5OFjbiBJe}A=i=E^8ydG-zjxR3-P3J3ryD%n&iOP-f#wQ1vIKEHbX2E#5Oy>Re- z-R%6*t3UVQm%XvL>!;O!2plon^H&V^zOcNDc=lU8`wlK2&HLrNy_5Tc@{QdG~{F{{A00`0*bM z^snx?d;OWG`TETxjnQO9Sq=#E(XIM}r+;+i;-$q%ogWUM{}qiN|06{@)p&>=~!C z>L>>93iM6Q0B9po1TA*9f2HLrRNn^nVTj*Wx6{pw_x|4Z{)^xI{ih}zH#S$m6gNh< zj;=kqmhtN9%5Y^>nD-72);3pvuOhJhEw}Q;=>E1q zwtbE?|JGZl4}9Q(S6+QQKK5T8xwL-X!}G=9L!xXupq9Lk9iiK~RJ$3m3F#)9Ilf8nCTy&b81j@T>qif4_`KMhYs1re@LC65`@WT(^d+)uwySv@R_8G?a3c$h& ziij)>Y04DM) zjb}iN(JRDM!60JbIB#lWY?0@XI}&0Q@L~nIT9iU zK(B~M#u;lH-!`oeA?RYXvl^QbB8ebJW5^l@WQ=urULcqdm?h=x6DlAu5(`QIX+@kG zn`8tj*h65E8bU@<(MaO(RWL6c2WFNegPu(vB1A)E&m1%_418~lvCfIAp@okp#)yVury)X! z9Mz*PY9>rHMH74*0-ascDx#{^xooi7HVps`1}k|{vMQ~Tf?Dg!UU@p6?VQ`3OisfR z50oTiZR=GaiR6SehG?8afV!?jjJ>i1KxREY9j~qp@4D;mvOmbOa^5sS{d78=S2F-j zLAKAz(?C=2Dm_kOd_-`@8UzqLJss`u9n~{$EaWZ&K#uHVFot@)9wNmUjIk#try;O0 z1b|tVsY2SjlMgAeIBBy>ZCSh61Dp?$8H_WCMnpo4iq0Ax@~8XHi-sS-#nHH|9SJ;=`HM=IjRZ ztZnJ+BUoH;BSgj|$2wzXiG(DZSM|-kLnTP8$_qt*Pe=9nwUf)2Gy6B>@J)49g)k_} zyT+4$ii9E=^7r`AOy@lXE5df?X9vCa^s`>e4?X_m-|m%PpQFv3Qx!tWFX{1@eUS~H zPyOOn)Fk#*Fbg98#v6HwmLaI z@$>fha9@E7B(N9iwk%fB6b^_tSJ(D$pGp=U-#hueul}pOmHrb?e)ZP*&&pRW-K?K% zo_WIVU&G8~xtq^o(KpuGCfXRIF_gJpjQ=v4uTlLf1uIzP#jW;m`_Yg6^LKyhk;k7J z4_EZU<~d7wXil5Z9M660wclSyqFEib?Qr*t-qs&Y`-6c{= zlN+~got{ia<59ePadl^HmF(@$`-1t!I}cYb*|=M-7K&Lhp8v#b{=MhUoxnAP6B8nm zHO3(z;z^e6dogu1KGOT9$bnBheMPnXkQ|&&o}9O3oc*O)_0|1ViJW_X$(UG_g(}o- zW6ZZBeIoMTGUg#r7T)mDC%U0SOgS|Ly2mQSO#O&su~dlGS*mQKvxCNYwtKVzY6vhdB1dceI6_7<={fbYx9kr zmDjxCv*`5ye%HGng!Si(yiaD?@lJEIm8gb7@RfNAz|Qj!qVmey0@3jg5_y zlanrlv7^A9bJOWG%d*s)?cyd=iy%Sm1f~-upQ!p?ua`32lPo^%P6r1E#+W3_Ntzs0 z9goK;if1{#y&I&JN`myD!}Og>K6wMuSg0=drc2*Xld}#F50lhBl^DVO^M|< zdd}Y7g%m9ddlJe|@0)7Bt{QnRr*lTs*kfh`IyP#7-;7YUQHA!E@30vNPN7`dsMs;Z`wY1Pz(Q1*%* zWHz9pDhX5cZ3_UIacvAL8Y4&c&YCjI`n^(FypPJv5hMT^hv*DhL<4Am07Mvqms&ZH z(XybjXGtP(1OWttX#rJ~lw6D)Em=hB4|3l$zLhi-R8SC9Q2^y^+E=3g(SS)50RR%1 z^m!9=pG=AAt3UvW+t+7NWDpG@0<*@D!ruuNvy2b` zjWNAm-&q%ZU=DzqCX7{8`@|DhN8^>d?>pyxEucuLY;vkb1%)HW7fe1TA{uK|H8KOo zGiQ=h71f1MJBs+&(%J5ra`6+OCq#n;2q|`v8}5~PRkbTcF&wS|n3L0bZM7Ir=hl{J z19PmZX;Bm$xs9!=I;)hLDTr;`#t@k~bK;Ekfi*^J4Iq(mAw-+yf#tJ5=kUINI_|!Lu*HbIn_SCcZx# ztqqu7;p`u}!#Fbx3n8TTnlgkK6&aB7ylj2Fe{kab-~|+r3F~5tNE*T}$1Rp<^GCD( zKWp0mO@wV`BY$>at}6sV1C-~#>zudFsyqSqCzv!^B&%Ep4)O5X|1|A==^gzKUK+H( zZ+h~X>(krwSH5ibk3PQlv9P!CWN)~#`33L)!=3Z($5zT}+Ia6n!@dY@Y#q_w-mTem z5`&yy-$YB#JiVW|}QN z()#Y5Th{U3-p%8qld5XUqC_+?@_00#PNrF2BEZSgp&*48GzdLxFSuTX+FxDbS8afdqgb)NI##px=HI>z*0L+nt0)fHg(*gt%0Tpcl1$Xw=}f`UOZ##(y0w?FC4YmnNAE!!v}^ZM_E_H)P$@3`ZxQFRn}?e%Z`(($kV z!SiD^3E|eQTS+;cxD{({a;bJhXA{qwSlh(nr{60pD`^ku^yO)jNs{{W=g%J;93)|S zhaIQW>0mHOxsV;BHJwhA8YguRx|GSfu9MR=bqo?bP0@{~r>A+IKltE-J3Bj_8+bmS zCo#!$SmEWI^#rV!BO}v+&1SR1!^5O7NkmMyF($PM5v3f@gzpoe?@YrT4o;1Z^n@f^ zGR7nhKJB{R`=Tg1bpD(+X_rvc9dJ4|qtPh&ebcceV?ehvCk(BBS|_Cch(boo48^W@W;x65TfCkN`5diiG5894@n0RWtyo+i)q^N^pj=*Y$H$m6paM2pj% zlI1`I0U;$j0_xd#G-F*1vB-w)e6qT-HCr8xj!)WZ?n4;#`orPi*6n>C1&t6{0Flukzm?QW5eHCS;S?%w9(LMLR_<^Wmivmpspcun=d_10v z6J^O9k)CDJx+~sVg9^%mCJMQo@Fa3XwHNgq0<-h@dhXP%>x{Y;yjJ zC`EzRSQOzRFF9)2w=r^z%FLj`8UX?T10a$`QA8j>mtxTqD+9_13*Rh=O0w|j!gbK) z2`LDkO-fFeH;D=-|0@DS=J{mmo4VI4%YNycn^#peuOKYqN`O#c;aWCi^E|g?3=o1% zTNWZJa0tzQ1-22tSXLC2yL3kz=2uV zSqBJ7#~7jzXxj#xYo6x-+=e)v)z0QGeZ{M?ysv21H?~j5e;?PSXf805oKcG1fq@9JFoIgcejGBWo<{Lh{9;Z5vu2tzGPP3qctuCV3lRO5P!3 zL`l^k*g?PWtq=fNli95Ce<}lEc{lHR;wgsGoasS3zJECtZn0|{OjrN1Q1#DfFD)wJ zvlUHlT}fTGq=#FKvE(#P4+(_g*C5potpAvqyGtjRcvoq7|M5lDfqkJ8#ZQbXr28Hxw`e5 zM?M)o>mAn*9{uvK{i0$3=PwR=Z+vjy;PLUyP(J9D&Sk#l+Q%7(Of)b0#wwX&I%#V+ z-dbM)o1e}?;MwHr;TQbz_3#y6_0-MdOZWZK%I0@J@%Zf*edO_%JoBk?R<(Uc7!kBL z$N3+Xgv^Xwb`p56Md~nx?Cy$tiUUU)F`j)4Ahf_8?m$o+6 zH)qr4=xAc?JTEei`s5SOjK-7eH;&HjY~H*+na|smVZT3+`NU7g(~NQs7=xT1P3vkt zpV!9DHIj2C8XTd2ZvKD3#!qyVDU*cgJ3 z9%7QIDp(a7#`rpfO4-i*w+He7&@^8}b zvGvPD@>%w=EqHWcENH3a~bQW&2V{C*2&4q z(b3U#I!(-aBF>XZpldSZd4BEMwb^WDtxaG(J#fyYiGHb0NS)hGi=SMld7h`4Ukgkb zV<+tS^nG=?;gAlvD2kPpmAbCG_@Hj~Z8tA$8QDLppIlmm&OY1aU_OU>e-4lH9G61( z(;e_~o$%>Mz0+28LZoGG$9C2BYQ zz=9$I6-8Os^~&nT`3sj0_ir5^9t~Fqv)N1mtsx(p7$`$Jwg-aLjzUMwylnzbH(V|h|$#gQC&s0;ql8V5Bx&BkF^faN;B8UiP zHbVqowWH(F=w#|!HU^w=WQ=b;Xar$nuq=BC;CUZnWB_1}08kVzoy@?Y0j%XMlC zAR%fxJ3x^10f0bB*$$vlQmCb-%)k^7B65}$nws%vP-H>tBdVtC5FkK8D=Hkhn#|e9 zyvW<8iFGhaq7qdU0a8?mA+#7;uVgT(n3>ZEG-JrQLPW1$I|Q(o@4Q2NrNYJ$if4(b zdG-HD zCmPfkHDVAWY0(ga#(4d5llRFrF@D~tv3U;+UY;8DiTdKzXr4wRijteeAPEL(3WO9r zMQ3%VKf7OR%{j+-f6TpC?K-FMDPo^JJ1jl5BPwusZJ^aG`%prI>84WqAcJFuoBTp8aZFK-R=(CeWO_XLL^ zgd`HIG5`@sgtQ_-$wgCCEk&;Fp7v~QwOar5Pyck}$Ps4Vym|A_{oKz5tmos8Kb|B> zk|Zy9!3(x;->#Ip=bn4+y6dh+qp^GU?z7K6d(E0PPtm^uR9eOVOmHjMbF%csmN(hn zrb?}W`kJis2c#-G`m8Z8cW#IGp7C5oWflEB5=Bw2JbKRATk?{qI2rxt%DDA+@6HaN zGP_Hom+9$8&-(lqUUC1w{oFg>eDkdbsulUcj%~e;EY2<3o;Aj>XY}B5X|{TaQaX-- zs8X$Wxh+Xc&>x;}EzP^hspgjF+-VnEO=XLg5rt%n<{-L`MsAi?J~T%4L$J4uBBY%WP)r?!1)AE)&fvk z$hsFqg#ZTY^?Jc6ETHoXs%|))Wyt#iJ5)sE;onlJ6zIsoh+vt0RUzkJoLxbj7$#8+ zWA2v;;1v9XAE#}*tV^(rxm#59i~ewNAB(&~Yn`U)kt0U}YvM!~@dGRyL(Q2X1dD?g z7a|1>Z3It!Tz7zZfCyOY#4{?2RFq0;;-plmMscDvwc71YyMu^Pq?@hGvkvJO2r%_= zCd}-dC&J*RLyDB3Hc9|;$BwP_Tpt_Ta?%dcNiVbGYev(?lJ#z}v9#1^cyU2zr*AXA z{C0={iU5&T3OV-(B*M)`tFhE%&pKe#JuA}XI7T#CmRjqW!+hYuBW#G2)-+I*>RXa2 z)#u?1w~UIMRw-pO_TFh4Bpir}RB+w|03N932bL{}QlwZEX{||P=F?se!8z|rs)Q1W zMN&WtfCwlYI0H%u_957SVyNXK2?atiGa~{I>W%{~@L)Fv9vmPOA}Qs(2L^>is9D50 zCyssQlu)FMV$I?SJO?f@_2+`H7ZHUD5yf$EJ8;gCB^KjHWp%2*_IDw)X*8}^)iwvH3)Jt$gg zHA$<5#d#tL6V$T}XW_jiG6jAlv~sjk${2-cKrMFKb4TVBW4RQGbvf|$&1NeUtB&n^QWTkh;2dz0$TQ>zP3Lj}_BjMUxs|=q!eX%hCp`MjC@NSh*K03+B?s#` zv^=D+POaR?@asVlg?!CB@ZtmjNwN2aG_&NnC9TWla#uZl2hUEY6H03$^6vMO%djF%3Hd}cVL8G|{7{zgfxifJr42`7)02YC6W=Gi9Dm9zu z)oMkrnVMh+0$%WY^Ccwq zzT0l<7^#H5j;=?m)ykm zh1$BjeO5O=Uqysb*R$73l>roycTOASTwkWFT)wB2+^zKXR`W$jnCH1?)(8?5ltZr< z5RtStK!{@V++@RX(Wbl*{F?wuBl=h=-hW z6B84K%uXD~A%O`OHq`G!`(hb>a-}s@5r_x4)Utqk*$EDpb$BpB95yUVT0oMP;qQNZ zs%ufGT9zIZSwxYo4U>9@4<=}y_Ika*xHysc9N~fZi}c-$Ld+TP8yN5#GPo&33i_80 zgLO`5=n{Hh5by%1wHE-yUYZ3}P3OGUs6>fYqI_r#^t!zemotk}6vuI3>c=J`1!>Rb zPNGQF$49rHymMr1LJ+;ROU(u->h^kziwlBY>yS0MV8%Cy@{4kHxWyt)NGnC?EN9(b zubaA@wW2sO9E5SeYOPHYdQ2)rsjfPhF!QNKCwedyQq zda3nDIw4YsnuS@!kPbSeI24m$s4Y?;yHdz>k~r>}+~qz=B85sJDN-yB=_olqAe8$$ zJVX)#RRQ!Nqzi;t0pI7*A_i@H8sLouKuJgr5H$6ZH$*auA`>x#LS$qG8a)YUL*h{Y zfk`BIkM)7w94J|Uhzgm(IYyvTX*BER58wa9j#D<*>M^1+Q3&qcGgiMBk$wC2eesK5 z3`_94-u14JeB>kd-+%v(9Xnq1q8GjLm9K0x8Xx@N2eT|&w{G1Z{m~z-UAy);earyP z8EB&fY&{GqAb<#BF#Q5V5(dW}SPFJ*P+JcHzs+)rbnd(eDP@v!#d=|eUYeH5y4hSx z(>#i5DoMoqP#W)cx_vN-LIhPVmyOn)R;yHtm7!M4Mv*b4(%N-XmHH@X)$R2_L8NJV z_Het?h->260kTrW>;^c(VSxfbLImQRlS-w%)R>=Ma2X>K5O^=S%|`1rV@$7?rrzbb z4e19nIOp@+h9+r}BvE9RmKs3_Swt7Q@}Y$9oG3+zp$G&@u{al=L{u>#iMU>B>!ZrE z4XCc5)k7GXp(xb1uOI>-$#d(hm`D);d)7t?;BZTN_;p*@p&MheJhe7oR&rYwpaX!` zrmqbr0*IbDpl+z|jVqyl2>_mbpH&;OWG)7jUbk+YQtHDW{_ukjKB%=`vu4ft=b!%@zwsNz$L_oDz5@piy#DpC z-?L}WHP>8o*IjqL}sTEc;}SNPL4mW2|0hSLPmAS!MaTDnm$`mzP-{NC%bO_89UvcO}A&i39pS0zq1CKmW(t2ckVmeJ7*)7DC z$J-CZ)orSw|afZH~eD93V1D5?A&v zobq?$yUZ3hx0LRG!7o-1H*M2Z?AcA_qbPGTPIEP z9l3AUAKX@Z7pMEviYdExg04iU1Z?gsFe?Bfq!|tRj@?^R-MwJqEM9UZEU z-|uWC%bwq9chlVVvV62Y!XVCh7LJnxBlWwy=b71as?`c4&F zT6MFg03cD$9Lyvc1OGhW@r(z_8|^4AF`+_oz$}pEIUz=%J%~q)jgFJ{WaaKO>sk)-hR7%#YpIWzZBgIj>+ht&d&}=mp7Umh8HbHPwgni%D<{038 z;0u5;kqDrWMr^hl&4op8y&|muG-&~`-r6kBdO3?IL&liEFgL~otG57SE|p43nc&*% zoq!OL4r(xj6h)CSI?uA)+Q3CDc$i9Q0AO&|u`zuCp`!=d7x$nLb~B5J_YB(TD2jZZ zX{}st1r!2#_5@PEjE86G(Fs<}`H+A0(ItHdQGh~-01QI;-~}Wiid3Qf9ku}|K~qT# zhzY#MKFotKYzz9ZhtTgKWDsFAIwJJ!QRygW>2!OKJ^sT@nExZDRIA%j zu||?+XDN5Rs1(5V4A8f04d+)BrHa)Vk+d=k(+i7p^J%*)PLMF`W|~y3TCvu(J6!DOU~fq)MV%7jrI6QLLAqk`pzH(#rodo*QVKAlq!i_;wJDPjpc;O848Li@2<5ThdCdcaTA_U;D_Yn`nOH%+ zC&51;86jor@dm2j*gCw zj)s?au#*fH>yJMA=-$11>-GB9ty{I$x8HvIjvYG!JYeI-jRy`KIC$`2=<4UzPXU(OMjBhzd-4Z(pmt;d(1a5{2#zs;xQpZsIqRycRS*|*E*$)t*d%^U)_BedUo#1W|o-d@|m)W#gfPIOptq zb7_8Vp_@&;`8yn4{cp{hkkwU-yiy$ z1G5KroH2Im9p8QHT{oXLzH}D%e3s^rqhuluzy|DGmi9b*Br2CnNtC1=zkl=}^Bt_V zz2rMb=4(G}Zz!!BRkiPZ_l|SVJ+0Yp-TeK%rBay*=X$-Akx&^EJNBKFRSYIJN2X_{ z=a;IL%J}H$=95m&(stJCjE{`jJnytRBctP|?4EpN|D#5iRK+lWpz8E&=JUMUg{9d^ zzj58h^;p%9UDJN;N7V=89Z#l9Ym!>jnT>kA#FV;Tv3OC!U>Q^9%#`3Sw^Tp;t-s#A zbJyYL?ddJ3a`kXr`S0z{lyyJf>UN%d@?fW%p1fm6eY9>2TAR087k0ZB19HzTajzHT z?sDscfN`XiCJdDr&pvmq)#)|59aJh&6dQvAJ!^x2toK$xjQ1MQaaN{?7|P`m#RdpH zNM>!%XW%m~Q#0#+xSO);sNC;xRzK{H=`ACdxC9fZAv$K8ln2*x1bM^isQ( zL@J6RVJFOpgvhzGxy=+&6d59lOr(hNJl9%Tn`xt1#Ii?C0&4Bl)V3Wv$V6$LfkHyv z%RB9EBlkUH2+<3801lP=e!*T~z;k0HP>P)6$Rv?5ou%f|VzbxkMW{-#Ve4J)2|*!| zLLp%1kw}rrGw0bWGJU3;^VX(X8}FpiX$BkCfSQZr*gG#IX)n#Qf%zATcZ>tpU4Xf> z=iE8tgA!t(WEKK`(6`A6JV+5lQ3{PwDT(*aTI)p-5{nmgOqF3-Me-<3d@$YnjGac=o+ip@8VL(K}!dyKG|p z#tBVYZ2t6S?D6CK5biXa&1SQ?cJ10;ulHAf^;dV_efO{Z+OO@}wQKL*y%$_?LAhMs zvSrJYPd-_Qs66t>BVYaMS7&Bsymcsj4_Xdd+UhRlzN<~huZpJ3@=kP7P!aEK*UcW9 z=``DsqEeicqS#sIY@X-2^`3}Gt30>dZ+Rzzbt+g?c*1FqmhjneZ-yN!1 z!wWI92=<|+pcIR5ce=G|If^22S)?`F6j>nP&VqYe!3oFE;L~wpIJe@Zs3a|G_zw4E znVH3hoNIU<9|xk^2Uu~@;|>|oa0#jp?iWO63Tgv5oE~!V^Z`)-$uXj6g@OcXU@@-{ zHKImD|5M=aiva!MhaZ08i6?gK*s*>4_I>;IeeZkUyZi3DH*MPVhBv(7w9`&oSXfxU zetqc9SF2T}R8YexQlMLIx#fl%Zs>NqPwszY@_cVtBy+ZxTN`Ay6J^IfjORdP zjWP2}`TdLgF`DeOd$Wg*FhhNPEhcU*O;;W z0`B?kSJmSCyPS`0So6fpqm`Nct?nTgw+K@&j>QMG2q_>@Ane&!Yqf5-+v}wQL)$qZ6YliRN2N3rkH>Nu0zAH5y=%G|NP^ z&GS4J^iV6;b1P|@XL&A^rD@9SOr*5Z*5X(A-0P)1pOFH~PC!tR7ZEQ6C?Zag0__ENNrvRWZ7g6Q%*UhTCH}w-4HH! zyWODD6Le+@efn^0!(x$P5zDfyR4SE9rGXELxBgidz#Brx4{2lY@Vp6~5JK zO;1mI@9XvY`t|FN967SMxESu>XFgTLf@~fj=81rAoQlX*Q9>TIa0=MA87lS(XBz ziIjH^MTs~TV)1EenLR0FPXcJ7XzkR-4V$)d*A`Bo! z{W?5!!BDx+D$xo(b~^2a*~QLMM;v=XRLGtQuv{rArP4IB-Uq`z@4a)(EY`YEyw!@7 z(pp6jVSFsBe(;PBq=p91d*A3l0TQ7DL}p>@yz>GCC_+%c&iciE7&Q5XNkB2HB#CTh zT`qBC6dFYG-m>^*?Vw>ZxIr-DV8vQA%sDx_g@HEU%I?##@%@lE;8XC(i_{PTSPKCa zh#-;DN_oLvw>vw%P^nZ#Mk+4T&scn4G$KFoiBG)ng)iK(W5=7`^rk3^ZomEZ&wlo^ z?|kPwvn&g1iZP~8MF4=!n>YXN@BXfH?lYhNJQi|7P(+mo!o_op09sM*9eWQTK%@|i zQAX(~n7puv_ab1yhcw5FXHhJolrB|kqoboPPeGv5?s?};;>CMJZ;Xi|or?!ACQ^Cc zLxe`NqZL}4Ig6%JDOIbxcI~dz$J)J~PU5(nWHxPdmU7<{%sub`UpH`03$O5jk6=;B z@Xoj9TUje*D*)iU>p4+K*81G$QLIcHd60e$LI=6W5OILg${6y_35&Dr9jCpV6cm~O z%XA@%zB2@1y;dNUJ5MA?*iF+;nns3@nHijO;GNPMkN^X&m;1K?fe@nDl#;}zKJWTa z4hgToqDfsm21iY=@Hnigm9G=VqtMA^Z;oO0G^G>{vgA;fA6C*RP(Z1bz%+=WM8(P& zMT!I%fDj3gKnQ@cpU$g1NXUKR3tuRg%P)QDOE+)ce99@O)M~Zq>FJMu{Nq<$b=4<6 z@rh-P<7IESD2gt*JtJN}#H!j!A zkuh;C(c08UMmCJ2(y#E|cI^#-yBpbiEbA<7ga1EEf?knmGcvJm>uADxx4F=3%;kg` zl{BJSGZ{s3vT@y5uiHryJ-L45u}AK&R+0xF++RW{C1#z_R_r*6Vz4W#B5=0&K{YFAmb(P`F8vs9Z>97U#7&Qe_H*m0kbl1H9AxHLQ4 zPV=q->HI#lA13%TMurRuDbJ1}M?kHO#^}!{;ygm_NJ=ZCnQc&p&8+n~ivR%`MF=1vOZDP%&*B*XRd9%BXPq&|IwlllRB(_n zM#qs!N=dn1WzTk@fdI`Tvj~zCswC1$VlYZjM_T24N9HaWGpfF3&Dg~w>+7SXdeS9t zWRC)3(gaoZr3Kf5O}(d=)1GtAIj?xdE4=sbc*i^b;1B*lYyE~dykXa_UG;k1T6^oQ zw|ej2{`R+DdF7SQeeQENZQ8W*!70!<#lu@fw8b(~tZ4<0vnbdPM~#Idet4~fz%H;+ zaUjALSh+zpG86@i0(pr018+6UvJgx==YnKswOT#()Ke>!O4xXS({#Jtph3B^cVC1f zf&Ul&6bQ1-W^;CSw$W$=jf4=IhoCb})8c|G!`Os9hRYK0LcA>30EvI5Q=8_sr)tM6IZ z1@N&WBrwCKS3l`&ch22;=bc~u>Q@Wk@n8PsU*2)Y9lLk$KJ&~oFS_WWQmJ(1l~)EG zq*uM_RTo}(;qvwZOWy0H?RL<8Bc=KrGGQP=z&L17P@hx_EW+a0d*?VP9kLhpp`Gs8 z6Cw~96U9lQv_|&KP8d8hi8GNYl}xCOD#9p=gvC3@?47fS;A}3Ub)1ZjPn^8-l(lIZ%X)WH0PL_#HXx0D%;+fc4@9P!I)?P=sON zj1Xvva^q2uf))obn=yh;`0cC(IThMeu9^#CuPQ060lXrAif00SJ*& z27765WTaY3MwmIzQ$!dY9no5M+8v{Hr_(D}l040vWv$KWd(Kokvd-%$%AGY@w|cEs zr%C8Yd*K|w6f7C+J1YS5(GpRp8+AI}rMV?=93i2HASxf+XO$*0s+(uIb-+NV!dw{C zY%tGl_@Q_gI_ESVl?~Qf6~fTod#ww8H})x~-g^g;NeBpu^UV5^l%ohCJXC;4GT@vC z7EsXJ0>;Q_DPx{`m-aN$vKL8s?=I6==sOY=^EhPFD*}9mAUYn}mjS$1;M@8fvXFoK zAqzuobYa&LDl~ncuee6apdwOCBtQU4ymQvMzTXF-QY7l9GBR||eei=H6p`1x?scc0 zdMW?}L-jRl)?9SaMQ?oL8-q<|kjDkM z8tGg;8Mm0PpR6y;DZ8;pp4U=0pTi4mTWA}S|^1%(8?owGq*ObPZ zZ0qebaxQ1(F=8(np(3SSw=pud{x5cJ`Clfg&s&_GIlS2ExbeyH+Q`V*=y;`C2ZGtT zc_7q^M3@MoD8h)k!fD32^^Sc^3L@j3RRAbp*)a$y0)!k~$M=+pd){(Ro?TK(R774l zXHN(Y{X)C>=)zoWq*kt$)~}n|`Ia|UW@gr`nRwUKx^Ik+CZ&>63I)%T_^;&MoqSQS z+dH>A%X3~j|LdvSeg&deH@lsTjjoN1tcmg*4)1#!)4o=#J@0wX3z2BOUZ0zr3q|gF zy)f2Z3?}t;&};?;;>KcO1q-rLTpijqbLg5!f>-5}e}j`JJ7@2-3Q{oS)%dKSE%^S*n}o_Xe(XZD_?81>Ng zd6W=nrb}Ma9H)4X2RjhUPvRU3sSFxMT5svH4~pLwh1T~+n&!D{li$y5;wDoV{PuUn zzEX`V{zl31ZWltXwukPRxn-6;t558F6G%Eig%9Fq8R9j^GhR`=@rIsjI~RRB!32Oi zXA{%X8jmKd8;|REd^YrFJpn=Kl#E9ED37)8H2R%|s$xAN)QI>f#mK0c^zqMxRU}`>k`r<7q9U;7(+GPoa-RgqAw05$ zI%_tNatS6 zzh_9GQZb3s$UIlrN0AFbn=?bHr0YN@e?dT-mDuILnI<`xi`DP1&Kh9!M7l~yhHjsW zK}|AF0fd*W8&iGU0wEnPONoWEvz{A8MpygsM&}cwVtcJ5D7ypF1dr9>>~(@7qsE5k zT#f6`O3rpe#p_=Dd;=A|i>{K3F2ze4skarZiY@$K7$^cV!i3D*zsk4Gd(cav9BtN{ zQ3|EIbE8>_yZ(m@3Ga}|8AoYkx34c%C-W7I3DEG zU>&6qAoAin`R*(8ia!eX6nxBs@*A6YYERps zIJ77o_E@v(it4=KG2tvyVsfF=46BbUh|S0HAAc*d|Fh9ADjdjVGaZ!b-AvGpWTBig zjik8Kum`=oEcbyWH;M#A2zh9vDze3&H5_Sl@fVt((XWMv ztE;OoqaSJIX;!|TJkk_W26l?ii%A2~F@v7Ay>E91&1>HirD!YjHWU zP~;Nb^IWvlyye{#zw15)f#1d!^0@Kxb1Laei7)zW(n*JfTX)p4~;B0R>-B3204px&PKA0D89_orTcld*m2>kolZ@4YwrdNYutJ%)4o>7 zFqcBls!kRubG_>gotiBz+muiawih25^EtT(4nv)y)OQG!`@b`Ny=Ob}o2w?Zn{1trm@ojhfzp32Yv@&b0)rM|n_0bv4HNSy zIu(%+pHJ20ZfuIHQ}5zLE=?rU3yZg3S9S8?l)s!HMM@EMhxHXH7YFntR=7KpI-; zW_{!Qn_FS4J@@^Gqkc%OC~rKYCh z&qaOJ6?~pahh-2fUym4mGw9!KS{qnwrnA&CS}?NS+S+A53w2~;VVy&s@PO&X-xjaA!kTeM<*dIjev!| z$c6OrlA{MbUZBDUdXoSOJ*@|~8q`8G|Jna2=av-ET%={nHB?VF2t-2HMJB6aj;bc1v19V))>)%|D>_1V8 zHcBDXPclMApAHftL_^b98t87_3JSQRN61%OtUJgbtpVGL$(C8d-T zvJB#D>Q;h%Z1~XvPDINwNU5a57^c=1`)XJ;!X$7>Ss4v(-jrhJ#JLS=;8gFad(;w<1ZT zkU3pl6%HZpo;$+$UW~7N5TeI6v2L?z9`((EAIjRnhQ9(k*{lBdA}W8!-fMNpvmg!-6`>&P&d75B3KaGt`+@P zZHBHLaCPq}J#Hb~W|gN5&)MaDs0~)afX52@-0y0X&Sw}{!xN)-rMF2qp_@GKqt*U zkZ<4pa28eY&GHRt*u9Tf$!;9R9~i%OlnN>a98{tk*xQ_275hjbzS86T3o?GOi-!^L ziiBC=L4=j`ygSQJi4VE+fj6N&f=w`8JRI@f{1q{C`=1>Tdc<3wX9jD6VL?XmT6(XF zzDs4jxfSB$a$B}E{RV4ly&SjX3v5Xe25O1UBwZfCu&+XOREMhbX6{fRF>sr9`7_Z@ z=U1nZm+Us<0e#dzrd=mNfg5J&?R}wowW#`6Xa*49wSXqE-#dHUW_!GR#SFI2d-@pb zcmB*lUMIRy3FeCisqXP}aRiD~f6pdS04bYGuqEyyc8eY2_YL$CQk?$4oQ9ZyV?$9v z#OqIw@GcsxYR|*PH?r$5ku>39FWVVrgtMNpaxHm~<3_m2`DjX*eiiM`@YCtIh_OAw zAjGLyCLw#!a5AX!RPZ(f%G*2M3HMMFvBumBOQi3MqX9@LqEv$ou8Z+fLT|cAfvU~|N9o8PbX^YD-b!V&Y z33{3$M!0#nsFUe!!d~B#HiMhwhVi!0`+qJ#`( z!U%tpA~Ju`ZcN5^-95iM_dj_g9i%1NHJmPAb1geie{tI!+uL?)6nVF>QPOy|UQlxN zFGu{gXo3`d9HSiF!Tmm=g}3+nP@wH~iT&qZGau#gw+yS8EeZwSFpkI?*($Y=9gTDj zs`aiBs|Vg3@`i5?GoN#Xy7OvQpj-c;99nZ$%+eUBQCC#{&kM7@tjW9L57vk6vH@4h zyM`YP-aN3Uj*=}O$Md^6NlM zLVo2N8ZvuDX3ai>7%Yk>-N}~GlJtcVTP3CqwC#oVA#{Iu!W^hjJgJg$6YhjmS@FiV zyyj#RlZ*Kp#2H$PB)Mt5MbWSu@_MpzYpiskqQqw_1c;ZprT}<+F@+EO%F<|Rt3qV6 z!Vp53nVC`Npm)NnOPHwK;z(S8sBq`Tke^jBwv>~=5@7)P3GJ!xYns+_6p2)vH+n30 zSTWyDyT+U0SM13v6n!`=OsT|hlH{I?(P_n=L!#Vw{Ks^&{{WbY?^VNwmgmE)^u!WO zC=Oi59D!d*c@pWr>Zr+#MSi;x!_Gje+RF3SO~~vvhTbKT4V5{0 z>7nKmMRv@Y_r#ykv0v^=_1{l^M@VG(mf<$DY%=1mV(zSTX>DAcQ_+K%{mmO)1A~TN zoAwqP$q)pB6M)Ad4GRLEs?^D(EB{OnYb`YJctQp zPpH3;Ha^@aEdS&~Kle7x>Y^IIhfLU z>(23@99{iR!@2Kiyr0Lj;rqok>-pkW3*usX=g?44cXhVmcmBgqYcu% zJJ&%ayM6n1)WXTbeh-zTY}8M#zZIB6u6{w;XFrglj=sALMCL9Ve;$!x{qxzmoW1_c z=~}nOizROH=J+L;rq7>0doA3Wb^p850UDcKa5~G}yA8?l230Piwq0u*5A_=#Jm>YHPAT|oTeHS)blR16wU)L$Q(ucPm6Me% z<9PDH^kBL7x(=24$cxr%vouHV#ha1wpCqJ+?4MGbsQ&8i<9I>ULD{Afze9`2C{tUu z^Ph8J7h51s(8%v8d@xoXS#y>uq?;4Q{341mbm-{=TWX*_CJ`fHznK1 zpBnm3W{?cWbjm(XYGW>se*aDqj{jHNAGeY{Z~U`Km#J1-v&?F};)`hM(%SkqWl_5K zVxJ$+rcY|JGJzPg!-{fSys+gXqe22_o9rqx#|F;<5E!5uNB=zQR`| zw0ew7RQ^;rUb>%_tJO=TBqUc7gTplmGw{~^=jBjkHJCKiZJw_i;D<>B^YJX*j8sZ^ z`M7TlEiu4=j)iD(3|r#VSNF*~I6W%@h5Yoj(ANAPiG(T+Ji|{*{q0_CAtcIZr{B~)r;bi zhO_l&50~n_j)hmW%tldm^HhDTp1Jz04y1#k^qgw^u%km>;tuzXGi_hTODOY=mLUD6 z=fKSV6dTln#RG@F(yEHZAiQ^eGXtXSi2=w|7!}|+&vHm$N$NIAOG{Hk+={zKW@_E+ z3P#RY-5v=FQeZfVAy4~_{4Ni#ef_o1hhpcN^VN{wnX1AE(c|j=%SC2!kAq$)(A0SV zb*hSKLRCD<#U4Nq?<>venwzo|nHG9zg=SP~uXmH|*t34dl7C{W(y7?61l!aV;Tjpm zPaXB`QcaHFj9I_ZCQp+Mb#7+k@B?FFO3KZtKMdYRR7K<~&vw5%ihro9k~O`eJJ zrgnnSr}H|I(n6oa&NVxKcIh3i@5eou#oR2%1O~1Q}I93IYYULV=nT7>rOd= z(xdGIhS{qm`ElM?5nfLce@}or&F@8&=DZbO2LvpC$%+ zQXH#A`S>)F`|LX(wub0_x-De?WlS@y!%xE~Q!UO2gwZD_?nK9-#5>d8sF_`5JW--FM{HE_is9VymigM+vV(07iM z?L3E;;*A<0h>KtR6n{QWgIH5!K`H4%*Kd+nSyYi$>v{MsUMH?82#x2?>S9L4YhpB% zOfmO(tcaa3sr=p2U@1Nye|>4%swCpWQW<$+^%$li(m-@)guHI5bp%GM7pKpB8R{lN z&EKCaFoIu}*DJCQ>u1(g0A5-16-hgX;vsK<5AQ#-W9oNHHE58 zWjleGk%{loFmB-DX&@EZatntwE@>-#U{3)vf zr*G>(4?y_r&hYSX+3_~ctr07i{?tdzzKxRPFQ4_DeSE5-TQp*BWo4CE)jpKBZTaZI zg9jI%&3t?GHq1)r%6J6@-PW?=!ATiCkBhW#Bh#)s?X|-X)Mj=Uh5a^+&VI+w9Hbr> zc7+=O<3D?`EU0bma6X(PR-vc7uT^k(-iSO`wQIm^?0d2K_X%8XmR7x42ATb4SH3tI7he-_A~EE$fC zNhVk`p!?r7#B6+V(T}`nqcHLYhg+yU2Q$6jx7CcxrrgZ)=azDO2DAkc6tP#bKz&5Yf<;J%5Jvd zxNhZc%0-UW|&o5{=p9YZEN&-hpv&VOX%2}|udN~QSTXqmRy7jiimsSrw z0XAuiU9PEuGHsUW{ zyqLchMvpdL9bSJR;H)20j@{3+4Gv*G`hhCn0s7FYV&bOYl>Om|_AKC&YwItXSt?%` z-xFUM`~GUk>X2Zx#7O+XgTwoJi+=yY7TiGwToBSXQRA|a--K+Tq@#m_jV`|#u7|(f z`C&6&7IC=_sz0a^jwo)CQ&2!JYXw`qB1%F^3XGqV_C^<-u(M^w1QW_!{f@IR7}HVy z=A&GLYYD&j8pR&78TI9AbI-NHd*-yyt*^fy^v7FvUXzn55_K-1Q@R>YyBz<-ssDlT z`iWtu<&*0+62AjMKd1dpW_Z*Rr0%8zFcw2YL)XX|;KQd$+uAKqy1DmS8#-Mcj)LC# z>Z}BLRxxVm1#GLVy7N}WD3;Hvg}pZna03hsdt8_P?Aagd;_B>a+iS(S1I_5hA+%*0 z!27h5R%Xzi%My9O9A4lNJ4|dHU5n2J1eWWOKf!al)h*mc?sFsef5$ic`=oCx+1kzB zcu}5qxe53EtG!+PY%tpQa>K|EOVz{E^9<(U(dlCBeh>~4<+!0m%Q$z|?ptnAof7QM87}iT5c38WHnvfN_xS8A zGIHirpasrxQDP!N1XFMuVqjuoVqk#Gd43>WTHyB%Y^ucU#kYIvt*YAp>SA=S0D04zsMO2=yY-k5cNQdUw@I#Qx1M40kX)g3G?EdeG)MMX6!O=w?; zijIcI*5AWNpPV)+9a#JK=@U5(J_RkU7*M|_Cnsd=TDc?ZVPOb5x-arImug_MfyLOn3+e1hfU4Q zSmP82CXly_&X7<0QXieqHKSulHUR6I^(3Axu1myio0ODv_3#X=4H%LM&;wfXFE1@U z)7HL)_XZ%yJtn4_>S|>JXE1>mFVb~5W-4Fn%gVlypzrAFs_{dL>AV8r6EsOf?*eQF z=m!hRsNR!|oE+$Caw@8aZPwa(n!r}Ga&Um=P?PNeE9B0Ift{%3#<6SL!j^A^g~02x zD`pYnnM~HWSliow)8Xjr>}2KU1~Y>jQczG(QBm0$?Fx~&V)x)yk5tHB~|DCjQ^7jfS4?!TU~Ai4;s~=7a~9)?+qD)lMr{0ME$D$Y5&0)?s#GPprPS zS3G%pASSVTBqoNR{W0kHeVYkfFsZ^H+i7EEH37+quWy4U8(CzV#3-uQfFFPDxweVG zXLdF=4)VzOcnV6P7GoYp;_zl;xYs#MdlwhXr&5Ilf{|^1tuc%PPantGn>zHoCphT+7; z#ZCJB+1kpgkm2knfp||>mmVOmMP@v#m$MB%@Rjfaa)K1s3`RLW->NNw3|=uYF|eeN z&VQEuYRb9wzOVjmi*#{uk&C9~^46op>1r(1&l{ZAe$UO#-IaT1S)qp^sgf$XwzJb{+WA4d z#8B7ZtTUFmzOGJ!I{-XLYg?OxQ1Z8L-vAe-tK~u+2l5Fl42yWLpj!!^q^YS19C)6lmBAXgAfOxIVtC~KH1S4< z1zBTbV;!Bb{iSYwef@yu{v}6rbaW5V8Ga7Y*iL?7;jWc~&^K=i|2ST0H?17h*3{J0 z)|&Apj@!`E&@3LD!o>oY_)_WLGBVH$Eh5_(h{NF$PcN@#X$YHe@*y0R@=-DC>8vqw zEyK>v4tA-NNms)S`I?i1J%yU3fiojVf2r;I=JMu_7yR17Vg=6TN@y7z9UUDXe<&)7 zmjrD?zu_?5;$p4>_FITR|BbE9O&TgH)F;KD2d%C3vb01bFA#?Z_pcoP`)A3YVbQ?LBS>J`7ca@9(=jd!H0A0?>~M3feR0c8^Q-m z2i%odns{&T@SD)k_Fuoim%iek$bVJwSwK`FML9)_X3kt-ac4 zm50#)P#+P28>bi-8%sh)_TW*-b+1`8oj8_@GN2qAf%BX+Uty=^9$;r+Bdw?U@-Q~y z_H#``IjYUkO&v;#ie3HvCB?+9p21s56azK+}t@Dd1>J477LvNB-CJSsj0!k z3%s7t)Y38^TA-DD4{nLh_e7GB80P)$TRd3mYvcV$P(yGS)+I>L7aGJ_`K7G!`tU1X zl&w=i+o`bj1=Unh1#ms2UEl#FGX}x=!UC<(+k#R05F1-m+cPma2}>2<+y% zRtoU*f9y3cfm>H%N)vHYVI;nTDDytu&&db|^81u{(D4AT=H_ONypOP@;^ZWFgp9#ltpcEb2Q2~f zpa$u!ISaD{Bt$&_)&bv!8v+YpdwW}kp)@;t`8uJ1q#iIla6E8^NcYlx^BxprTANAd z(!P;6%90?YKMQdA+FGYE&&9kE^{Q8)MlucN;CNHnk zl{R@`U_c@5v6;n)#=E{NN@pu^DQBOHOa}zCx%_z z|E;R;9s}HAKsf$e9fS;=R>V~)OXHF6h5J%h9K;1Mb7I^Ot@sAuH58=rL!=z4r+{&` zu&{v8*JWA;{}=MC<;BI}(NTh%H+2nQNYB%yLmi!*U}h#KCieID!6AH1NrAREFm*jW zy^o4Z;7y}%i@2`+zPC}c+bjT0voTXs&#|#XVRez>#=+6Rz{Gs|^vk4FPhTIre_xt7 zGDrL}udHl;Hapk2sDb=CsebVji!U)bDM|R|S-n*H2_*gg#3Xcdbl{QUm6W8&5TlYT z^x|$hpoeG)qOs`!tKV{A9hA& zW?6%l!)wlbiG}6mBtgyg)l(h^%Q2mc02nee86iJ0sCCsHO}j%L2?8ugcpfvv#KsOm zOYo}mSzn3>FJ({O(;UdVk{>z&U@Fim0N?g{nqN{Z4Zue;*c1Sku`!((`QeF)2ztcl zUKM3!GagDBd}dZw9PhN_&vZE1t?1aa_ERd-jDmOXqGQC+in@dB(+7lye<|lwKf5Ym zH|u^0f`pAw3YAGvtu-KLmYnxFz=WH(1PTpm|Cp3cK_CRb4fF*{NKWj_t>$kU*0*xdc?tnfBAE?g|kTSe1le)I_lTF{hXxIC4RSQ+1s~oqs6brW@qW@ELlkN%gf74 zONoM-zm40JkBjOyi=L9&)UQiCKzk1^G>4Phb|n89J^E`X62Mkkix{!;nMNc}bC~!9q7; zBQRU<6|clpK5kQ_bwl43cJu5fT=L91u6;_rSoH(G36@>mvnun)xunATcY{EiYuB9vV7$ zU7lW1ao8G80uKSBi5t>l%ID$k4(SU#*wK+|0k($!OU;}i_@7kw&7ECb+FDz|CBQG& z*R43nZ+J2ftU1Gk$H*6sF4`#e?erOikTmviWR`;wDm(U<%XOlf>P zQJxXL#m&v~dzo*vY{oSOmGaXX<`XE3*{j8qy@g8hvq)CAM$5^M$;md;xxJI778Z>Q zMt~1&?pDKy=H{+$sRD2UKgjF{!0Y>J0#EHa|`x~ABtIye5yDPI3FlL z@P@B7DFrg&_~=NHk(dTQN0aR~4GpY#3Cd>KuQ(Wih9xkaLNqGC3<&T!3mb672mORm z_NV36qEKdtk&=?y+}dh>=)Aw!`SBwup)^Vyvv3M@6YAe{wJFsBh5`cK+QLHY$B)5n zCMn6uq_`ol@HP%5O79XPbU4UYsm#lDnPLam{;_6T(Ifc8#Nd>YhhXIJX;?w?o12>} zE7%wR0A&{yaWXOn%P=U{M49nXh07$p;dnqCo~g#t)JBc>=2dwCw6Nh|phZLQgb;_D zdkFn_6Zx|=w{HWN1Ai+sktOWK^n?;uoLE5+paDNBW(A&PY83#XptZ9Bc@kiX=LQDi7rWAE z0pE<9(aOg!el%Vd)zu|;F9l9n+HY0Pm`n1p*(XBm)E}>nW78dByl}kp0 zev(GXzAPQ{tHt7BL138N^Y-z9lt!NMw^aqeAc4=lm8sIEJd}hOsJ*<+0fH}o;jzV? z?Jq&VogN#bq@}g3^|hjij&a2^u}`urW`9 z5)%jc6Q)>L_fWhC6)CVmySuv(1ac(D4-XD*(bAIRhQLTbMg(|qXxCSnjYK%5&y+6& zoYVK@?Ck9Eatqad5!&0gFQK(e8g$noQbtCzkc4JuGhs*qa)iZUGeJc6y%Q!75-%md zK&Ir8Bap9&iOr0TQczP{xnxy>w zCidE*3*sEC@{F%vC1!5(Ru&k*{NrZ|MU%rjOMdv z4+I5oU<5);1)gPG^Q%;PmDh2xVisBv8Ss=~*0Atk2LzzK1bKMAc^sIt_nkog{u&aI z^>sEbE~s??GX*<~0gC^k#$r|B38SgQAs{Ap1&2*Tya&t=c`=Ny)+rib{JfHqlAY7;whW|DA$Th83qFpGogFaKxQ#$`yS1fd z*t>T?VHM}*Qqs_TlxGABp}`MT$vHniKX4a?a&&w*+)j?=2+;VDq8I=C509u z1WxCdVhUjhUS{QU^5Y~(I;j!H_6>z1C8k&(BzH{{4V#sCB!K77bXd<}h} zu<+W}b{mjPVKLZT#AiV}C|HR5oDKK&Z39^gf`R^y4xr4as35BK$SW&P1DPd9=K~q> zH^@IW$jKqIp%ZcC5E7~aD+lKSm5-X52^#@ma?Q-m`6%B)6#f34KTE>{;HUoi&YpW+ zTAGo8!8CkVety0UMH&+Gx*uAD2oVf1?k?iP`|A^0sHmv{Jp#R>G1)m{RiT*m+mtVW zsT*veedtLZ#=P`q)?s#F*?u;0+12O$ef&=0Rf8>($d^4 z$rSr)TEXH=LnUz3_wKa;6JyB_zK4erFF=BxJQA>fP+%aJQ9~UtweQ~H$967mZC!2~ zg{8hxQbsHy=?oiv4b;^EG(LLt2$H?mTRI;)P4C^i2TlhOSXEsOIXG|+M~8=y`C3=# zVFkqiie)4&iu?LhQ*(H75}f1K*49ezX9^;sJH+8u*4D5gYGb4L>R+&r?b${GfiIAE z3=F6hFm`If+7T2C^3(+nv3*i%W$By}hHOUcKi7 z`R=P;Al1R_<34@j1ElxRXSW&qi#^@<^`!e2`0?E?_V#LQaX^}S?)}BY3JQn)^>A=J z8lSNccKFdbR$p9i@47PsZVJe}lvLMEv;bqMRUra<5_lJeRK*YX_8$72IYVBjrZ$j< zys((meEAJ!kYMRz*8&*{t+;RD zpk>wbVwiVG#`KC(A37~Va9MK(zkU8+w2Or0bB~cx=W+s46~6oTr>CcRDU|@kJb(V& z+&o){!w>>ER6ubsq<|$hg07qqrgkyv5HKwlyTty0Dac^ AR{#J2 literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/linear_combinations.png b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/linear_combinations.png new file mode 100644 index 0000000000000000000000000000000000000000..47aa7af081177b59aae7e69ca446670e9265535a GIT binary patch literal 54292 zcmcG#Q*>p|*YCY!+qTiMv12u761SsNJ)w+0|4Nl004*@H00Mew@`w&UoYT}!cwZxUzZoO zaoE>q949diClxzWCszXp6M&hmos9{DqmhG&iLIl#ozo>)mjD1j43H8PQgzEZ+c43< zki&zz`n-_RvgilWw84S3{d3*cel_>ZC|_-&ViNK(nr9agkOBi;k8uA(XX&|nCu?Pe zzpbA2aeNY5R8&8Tc@W#^tI=pBE^&tZ*V})ZhtEELz`yTc8_^T&00IAW`sYqcj6Jd6 ze+FU8NN^!{|94O^89wy?*qcQ`1ZVoMfn#VW(Es+TbqWFl`JY*NdjB6yQ=0_mi5T1B zJ=1J$Yy5{TFy0?!+!|l0*%0mS%?t-|{U(sI`gZv5%(iOo8Ivj<2^K_|)h~a+_aD+I zZCb>ES_s8Ig3|IC5Jih^<#7N<*G?94%i5T|Vf6;(X}>T_UyXx*AQQhGQDhVx$Hb|w zbG+7U|HmgX@zZT%(+xnMh828&heFrCgKNMbG4Q_E14h|08$UQlk9=DcsHF54z)Qm< zeWX}8ESw$*pBrxmE=*Tag3xaD6Z$n|BrT0EvjVE_I3q;zIO0akyG}mY#)5(Ucj`FT zak(QOS_olddw@VFI0+MdV+}dV!+F!+nR+v~lx=6I%r&#nAISR3rtpJ{oKpKX^`D@K z;BWWj?OEEGAr9Po1<*q1B#C1rsbeJSxTJyEtPyHf(IjyESLAzCBE9tPMXt*;lu+Y3 zt@>L-syvG?uW73N0EZT6C1m0-(me-=ajo}AY5=idRfPd~%MV26gCV-wFlq) zHV)911&3i1Qcd2OdJ%?d*@!$5;QCc0CJ7=%Cm4xJY5IgplKbTz2L*#U4FE~deNvDPHLw^r;ma!%2Q11Z(IIA+Vd3mDE93@tggHt1W6QF zb~S`}Q5^%r6Tty+%bvmIKXl)7wREuJoA3mMO88Hq5Bj9wKZoiCeI6ca==QPQt4zh= z#K_CrN8CCDHBRx!Zr&2Gfi#eHa{Su7MIVII8=Y+csKFoXX!VMJw5#@Sku< zdi*XS+;JX^S6D}%!|p&vXW7{zB5%9zAw;2= zq&|~yAQ&?Ky>D59ZxjAgb_bqs%%|QBuO~Z~+Q2L4((JkeQPtOPJ*Vo}Z zE|A|-tLGY<3O zKUy0Qqg4-?T6~=01>eI9AG-q65VDb;Nc*j@w9KS8WE2{#B3kNkdohWA>YMvoUq3It z6vVzVxotboYqNmt%lX=16U*?kBwACi8BwS?je#8ByTE7rV0N8fOZVW)adr)wbrl}% zCoL-FZLPJ%`xN#3L{A!y>ws@%%!yuf0Tup5-MR;oj2X{4;XR0^$6BBHu|TE*o__xgYI2!JuPMGTx{j+>pJHKMpm)(h?B#Y zo8a%J7rohecI=GrudHcn#Vj|bwf@oGn8uFdU`?$X%ogt^PXjO&Cs!9|pm$}ufE8;S z12dz*s%P55xhOKX#Jn2e-q73I>GF2CD)?kYGkf5O8tYF=AHqbT*G05MtrSrgM=)vx z`t2XT=u-3)+9#=>b$T;?W-HZe$nV(?gYwGI8BeN1WSiysDV!OKID&7SMaP@;Zp{DLV_%aS4jT&(+8*xn=)pr9KeR3H4UgzN(9L5kG!MH_*VyZeg^(|@8 z%D%%6i~jRNK@tEa!Z+=iqH=bHkoOfcl6uCeJj|z%LMr1?9h8E8SOjH>Fp?hkk#*Bc zD4~zoMsTrRYr~OP*?hy+(%>qmeYUbY>7w$&uAqp}mV<#oO)? zqe;eFVe7=ajZBCV6d+=f(rg^g;k{2CK6FVaOqsRBD>oGXk|>;-z3bTTrsks z^0K2FCH6}yHl4Xm(%m9SHTRNYO;}sXZ%KWV6cK$L9Nc1 zd5Bfcnh^h3OOOS}SuvgvEB3G}8mkdV=z6qSW$n$T7o*^I<^~dxlahu9=;;>TmL4c( zN0HLpEabmjESOK%`5qs|6R_2$@R!4Wh`2h7Dj{JiIpaZ?RPd)V`c5Oq=LqLq6y!j_ zOYN_xKfHR6h)`#r9LmyWuCjfa5+8?!HGnudYNCynG?eC088I@Q+hl0W$H|UG71m!C zZq51nh-$a(kt7SDtv)yEmK1VoYbOMbW~~q5lhsI)7C?J=8lxwVl;z1HEX`EbJfemN zOu^^Bg^;GBAB*ADw3ozwY&v;PnOEp6MBkKyD=%osT_dU&6g_&Diy%UTtL>Zb<*eD;jd8b z#G6<aehylO-QzQA%XcWp;)Oe|vBy zPJIhJ8b2f=NbElv@svTULxV^#u~K*yAm8oR_hmx_FTxW<1dn^5jGm;U3i~sEe3d$y zEh^O1G_yx|UuOIZKZ&89KvQcu-fBhdZmRPT{rY~)!-KgAAEy$X91R>*6rx;}R=HfY z=#RO~E2&C?+H8T{0WkpFS!Z?IJ9E*=u@oO?zGyNnaMW2_#8o7m{PUKr^gGOGMvou- zI6=ABRP-H_uJ`xP57KJFwQx&x=i;*!mc;5{ij~7^*=$n+Dm%FpF6ca^Ghx!cyk1?a@&zju)SV zjf>*qiT%LS1K=GI^CNKy__Nd!qLLj@A#iBsQ|4`bZ%A1^Y7pkTwaCL<=B+c4o-b_W zVuHn|2d0g^v)?fVp~25APza!@d4dVW`HM!x&}R-&_x5<+P~Ee$%t}&?Pw+5%NPQ@JAL$Ls(2)h*JYF%AVtb8$NxAk9}1UgZK-M zZ3l~#N2SpJezyz@la%Q+!&08g2&T@A#?aK(Ryp9qD1T29xg%8ri8tq-F686Z#!eVr zj=5RDk%HQMYj$UNt}e2yNOKaEIdL0KWgNE=8(_^$SnW=5P{WgL%aK4iZXa><0;5eE z37QXCOsX7YT7BfveaYZ-GMr(u)F~(C<~649#Dl9FRSUDc*A-8FH~KuuHCGXtOEV&l zqgMCf7cXg4n|Xb_zP-!&MSm>2uTwRw$QVbAtvE;Eipn3OG~}to0R}Mwjtq`N6D2bj zHN-QUg(u1wGSd|$rgD4|pxm;$ z*bluCjm^o*8ble^RMqwUwRvA=*x)2VQ@oB|XM|M^jItF3Jc0Wz&q%Lu1@)P+M%Yq_ z*yJML>Dp=qS!EHnWZqhRJyX{yog}XH&e{XBExY8gV1FS>Dz0sMJF@nop7~I4Z*u-} zys5z{c1bChg!ef5fr6n*U$j69L2DoFkvJ&#NNmNJ#R1nXhcrBl4a+>QFiJH!HNoyI z_C#;`h7#jAcPt~Vp;YN-Z~&})vqWt@HN;ubq}Xe`*|;;c_qw5;7B(0PpW@-6P0s8pMRUTtX;&gvMXdce)aN_`)1&w`zLxB=c zmcVsY;Q*lD!8%t3^Kf9mZV{SP=_^m%_-~$SFRVj-FHYpRx`u=l+QY;TgzC%XC`^H{ zwe3`|R3(hYs5&GrtWvLcrRhhR9MLtkhSO7|e5ya*KXg7$?f!oTp9IhHuZNBloebg)18yTZeCaMPOY1z5KY1?=w;Tb47jcq!yP}i^|}3 zxBqaRK8Z*pIeGp;(S@Ge@8Qw*i%>J1I9-l#G_x8y`eOtSREA*-4qSA4Jd>Be365t zoYkcdDFMncsNGyeN=y+Oqio+4q;Dm(B+*E{f-Z}4i(+P@E48GAs4{lP4Yp7*Ygo~* zuIII~M4~8Y$#&(!ugyv;E^syt_HjjIN|=H)g8VWOt*oFptEzIm)RQ@R9DE;`NIP$P z;Bv#aBZN1!m^bd=FIz!hyd+4g$aZ=B5nSI;Z}+vXaLRvl463?r!>;#YU)9MfnhXiFqe|sUV zzDSCN7c&}NIt6s>q7WTN<+Njc8WRIOqs8|U&{V&hYX*d9W1m}ChzFQUog;d+nTh4@ zl4>>xqLA zUmU~J<^yP8|ox>j+&M5ftn}fP%Bw)yF2_>LsfZ`$-l6 zrY`o1kcXSiB~H`?;F8l_LVYY1YYvzh%98v=g~Z&Ua*K0u6}vyU@S!C+6VRZiXQP!` zq!8ojdGHI$(jG4+tz>mLhN1z97XothMPU~MQQnTvwqV4;7VqYI;35^jnbi7dZ{Y98 z7|Dce<(-$FygUW@S|4dYqM6tW7q)JS3JMZ0W}7^2zh`V+6Y-#?IT8DX9o?=7B}q`k zDb-#(F~}+qA-Rw&W$_QQUQzw6ec@~*#z}6g(rDmUtA0sZeG+)m$gyI$4DtCBqtN?d1rsY4}Uvjt^_KVf6a%4e0#`~$Tg(;m5;^ip#(z* z0fQ`=(-S_*K>)0G-71LHbJdk;8r-Ac21muXZmJ|rmKJhoiGrtPAhF|Dny0 zu0sFk55S#E4%^w3EZ#&d;a-=PSnL0CTAK)x}l&eOP(Xy%3IBr4h@Qfjw7Sq@=3k1Jp!s(0KPLePvWq5+Jr`@wK|loshonb zQa_sK>3|fQ$gi$ySpor601tnNi=_+Q61c*97+@pwp=?WV~8=|>F{HIXZ7(-5J;>;`)w*o zBDqwW=bYMkH2n&DQk52CDfpyY&>v;*P!~jvOgbq$Q1(vbelzq5&cFyi0@If^5&&QA zQ25ahYJb*@OvP9uF*kl4X#|2(!6qg*_U+IQ`V~^8wpoP`+U~*dHJEAmb{=?t_Oq*$ zUJ)#r6%LxG4kHw-^LFg?LVqX*YPv!u-^0DWS(}5-U)g;O%$BY_HSvu?CPe& zcbD4)Z9wMgz!oTpK88(HnUEEHeKN1X!dE+$PSVIc;bT*T`2AA_>xhWLMFXJJz+;!G z4whqzt58hbF7{>xuSX+ZG}4Bek?POBqys>JvjqMde)#aPq^M=XwAaI6VO(}Uc+ z65(9?248noyx#~t$%lXEBZ);t#YtIM@MFzV1|Ma9Z>24!zJ2sQ7x}hgBaHs(jXHfe zYJ2C{3>Fn7dYyurnRz*+GM1-R5d0{BxoO1;Y?Pc9c*5ef4gGxLy$;gL3_wI{1B((b_!BC5g*b6yYP`lW>~G^Oc#d zRJ4^tcCfYW`d1UL#s-B@~jUtG~F2^e4e}f5I6i$O4PAC9+iGwy3Ho@GaDq7O z%2LnU^ZgmGfLo}qK3ec(X#c1vHe88?c8Q*@?nFR#LT^*>l79&_pkkV5;DmMEK=1|4 za|ntIgh#&syUcr14}|R8^qGz(XB@Ezhq^==1Wc!Hr=;7lSnuJ3<_`}{ z{=}~F9u!0t;Ej9W6W#o5X)N?KMZKyr4{>M*H0)!D`Wv7g-7gm88a0+L`aV++XtxE5 zHn=3j2)Ce+WYk4ctyeNMr*mq5kqBx6H7<(PM9(C@OLKqxPIyP;fHaXBEn+diAbZJ# zX(pl^2OM^fy5u6@B%4q)xWR=V&ApN*5d+`pE6r^Vt^MRf1pjU4gk*nxLM2&%A)Vq9 zt*g#+GzoQ7t>s005Boi>7|VBzZexyv8FP-L7 z`tyN}uhh_gGNub1!yS{46-s)jppKq6s=`tv{B6b+HPn4%cDR^0NQWzY?6XwY;DLxl zBk$vm+dON8XiZ$9e?=i&r){U1+YB93FIF^sFxh|v5QhbvD{;@8{}DJegY>iJX}X@v ziv!*8AjDkv;&2GlI~Ng&FLvAcjH7Z7F7|yXKlu=t-3ozPRhom&Y~{`N%?f@aP=xD_ zUe`(a6SZSb&zf(Sx3+89_+&W{5;G%El(Kp|TAQKa~{y_$`&S1rB{p<_*L`qx1EnM0USIfl(bxxG?)`God@ZSUfR<=P>Q#w{$+jOa3U z)L?nt`;E_F#C#4wL?4qO{#uKDG!$^k=0V0FnD8MJ zG9N()=NE%=(q%(qAGg!D3^iDOq(?^u(A;r9AlLd( zIK2OKUeU^0&?xX2JNX?^?sueT*Wa9OwvDHfb`nUWKSqnx&Pf|{aGy;AMy$cnJ1)i$ zzdxbubl!pT7*LSe8?Q^n+<1zn};)cdF1 zmRm!nBUH%E-lCT(HNQ3GDv#*j;jl&Qwns)UP_V0qRZRGk-;lbd*C&pU7v@@9h*uj? z@qMnlLV1`)2>pRNBFy>=W1`|LVZSHS(J-NV5<~6s3#YicJZLdd zu!G?nxdiKpFmrCjo5@MmPw_FGa{Y`@!oB)PuztW(wEMn6`;+&4E~CooI)mj#`!p_= z_eElCFkPtFRpBZl(+=;<+fW=VunvtS>&*DpY$2U^1;s)^<)7A>O=q?mO@~Dwx9jfS zpFY)aUU9Kt9{iUDK-@FG)T67WqS62Swv|iIbhAQfnJyv}AmoGVbh1`wFvD67Ydq_Q zH;^uWHpVl164Jo_K+CTrQC?a7WP?i5fkcqQ9CVO!ly5opn6mo)@E>Sz1WyR6&%K zI@?O6sO{v`%zIrotBui9Udl@Oh3HE0>`Embo$2#;sW^sEfleM)ljFpba?()oAJHyh zOvn5vIqi-@PfJZxEP#(Fx&y;CljL?=byN)1~?&zwz2 zWtE`*pbqOTPw42O;?0Rw$IePzJR8SiIw`ZCiB$LB*qB>0A|#4H80xrVp#fUumUZ-OthB;*99qjny9|U9B6HCw~U0tV2K;+hGx*T0bGge}%s?LUs zom6le-+P**)I@S;cLw^(or{I{68P~o$fBy4Nr9HiA`$R zsOYq{>s)E2qC@QRJ#%->R26*84wWTb&FYxq5_`GO_G?&^T-H}aC!&MXV2~!tt`~`> z&}!Uwh0rpvO098J$<;HI77gVrdh;tA$|7hzMwF95OfG!bJbL%yUK=bFZD`Hyq@`OT zWUY0|y+V&0Jj(EBj8Y6a81byQB{t|*7i##pwbJ5Sk`YYk7DG}tBg)ZB*s7nD@4aT@ zFT-)>|5UMR;!;Z*n9HxgE)|kknW{KiF~4LfttnH*euFRr-_YCemo}Y{G)-AFK0K1= zZ{jO1>%S>tDKJF4^vV3Kh~+u5kv4^$T5^1tqU4N*LDPTa&1qE|Nh&E~_QIRsFDwpP zKvnnl$IF$pfz#ZH(0$xtK+vcBw5l|ZD2L=sq3`R|oy>q3I2$q(N_A-Q+TfzvuPhGR zcEdJ1M|CmFlW%73SD66r%xKy5z|#>MCyDizg&12Sy2wIeu&eVKanMpJnNm(h0G}fH zY6Kl?$D!v0MgVk&Vmf$ZF z8IaKO%1Bn{>nnxki^>P)i5h+J0OC^o4L-C<{BfW9EoA7tqkXW-wc(M1H#eRO0;!oX zsEb070p;Ib`bQWU8a!YlHWkxFXm*9EDzgx?8`0S`x#?)mtA|*2&)s~+We&xEPA_Ju z2vDR*?yOyjXp?&4c?h1K&g-}6pc2*v2|89*6Yy0BRhusfJqYW)@}|narmHq&Ai_Qu zM29Bk@6c5WWQicv{QeTkmkX6BA5rwUw50gD4oMCT0|uhpZEC4cn_#iwyhn9>+&7tG zoLWm_^YHlrOZM}DZDzNu_)x}5@gc(Tcqi5RbZa&Ql7oD-PC1kRGO>xn3DqA!(;Itn zo(o(!HzCK~E9sN~bE~#^$bDo-{(S>GRl_OuqynGvX$luw%V6e=-(v!gdZj= zXyF0hrt&Ev&Z$Mj>FOqv5-Sh{B{yGkrRYc|iVc#+uEsitCG%Mdgm>+f`WNDpI455R zRZSOFBDgrie!v$NmI#j@c8P1N&}d~dDg5*#4GSwmvMT#yF|N$XY=L)xFKp)WrvRSz z>tH8-Pa3VFbw2a1^_8uq8HL6K6oy#_Jbh71%qM(7mkrB8Qob*(%=zxmM27Y2Y9F#$ z8*toAwrsYSa|GX_+b8(pL~_*XZvV+w^J2sg-y^rEKQ&BV97%{i{u{r!WoSgw+Ga$R zP1P`uj8Da)H(~ZoxG#ivsR7PQm`kjcl*te4k>1%5>+?G0PFfxFNvT}X6dKsPQ!7ZN zcf*yD#nlk&D%N<%bTzh-UFY_9sRI0I^368pU8~f(6t5}9q8xTuMKwIDy4pXauRr$7 zH}(R5rc}sO;7^NRl%$x_Dvyex8jkYJg=A8XEdSUOIx(+~an#9B)s?j)<14qKbe81- z9Z8~PscwsTBYRNNhI7uk>v}+!25~a6aIMH%3yDI9RW|!w>b2l8TR^cvQ_5$mCwDp* zQWM`y?h%eUk~m5Xb2kvoR+ zAn`BEjDj2)MUZ10+sKz4rsgm;^t5}(+;JGMvf{Ig5?~xv+kn;Bgi(ciA%2{!dv#=- zJm?6@JheF8 zgCF*zCmQ>u{_<2pq%aBcP&!BQY^*QW>NrMcc0>QLeXpm(+Zr7N(yy|j$5k%BCsuH& zvc>h6x(XH3a$*043(7pY#r%I+LzMpoJn$c2@qd#-bk{QbHxyaBW%IYk)*?Gta5HUn zY>o#ms#f*CjAIHT8|@-zb^X=Qs<(}hmYF|uN(2}371S~7qm!1|PV5rv;cUZXFA;-! z^tnYg#J}mu+%1C3Yk^D?9${@WGbCA$G_G$=krdm}k4L7YP|Bd+UF&+Rw zZy8a6xyG(E`J^K-@DndNquZ0>KTDIuhn2@ecx#^v=? zf*DOW%fcj;tKwV?MCLmzQRv-50Wz@Km>cA2lIYcO7An<6S0W~u-1=-pFY^gIhbRlA zR#2(6%Xuo)86$7*U-hpcK5Il?`UtHDyH{Y=e>VIv&gV-=`ic?E|8f31$4)cLFCI(AxM{O3u`B@(a4LmgVhoqX8uokq z?LCwCMiCTSzm+9JJURZ&+Umv@nx`6VtpyXJu1mwlMUcbG2 z)4O^G9G_6&oe-q5zX+n@i*?tJ z7=x&~^Md0Cj98Jas^Wx|I&=PAUqRz?|Daz~ZIA9;Xf-U=b1DOVS~F)XWrnG<|Jk{& zd~Noy#)Qq%h$h>yc$#AwTqcV856|2M193hy9{dAdmE!BgW#1#fxrrmnD|8 ztF>6wa>KZc0Wo0#0sz5aT8P$&w{-PPhvw@kzeYRAJW?7${Nuq+8h%02eU|>N+9JAe z31J%70<*C)5!$ZKbSsR_L=sye#MbJ8WdX2c(qeD6u?Y}p_)Sdh`Y7uDf(lW0^b7ZA zu$<%xN2q37X7L7l8+`;$2{R+@(beT^re?%tYX;oAI{TpmwjRIe&};C^LI5!6dvy3R zbD=<$7!dY)pe;_n-TiN%JpfsDo5P7rt-&z_o@ZT?nIN=`@TI{yfaL{1qA(Ogjn@Db z>FOpFfXJ!#ZIHVn#$QC5?8}&KtX4-RS!wqi_?KU%;!6Jmlz*tTQgPZ-sfKv{im9d5 z0hJxQA7TQ8@dV+yHVjWM!>HA^n(f8>8YY3Nturj65ojEv#FJ*FW`i`hWXms;5W7tUZ&VYg3E3dUXuJH57KXZ zg1K%>t>GdSDg7{6s5&Hiy1~S8e%K7uAN1$pqNBM;0CR(vRMcz6p(MDbX5U^m)}3(> z)T1s~I$qxZ*P^b;7u}fbH%0TQ`322y?EV`NUnUYp-$gn=CyD%2BhB7}*^+Lj(xFVG zxcTJ=?|krgebiEs@GLB~eVldv<)!Q#g|O$l(jIJ4=6ddi-7SXnuB^3^*oWyyyx-8kDDAvc$$D zXb$wOv?6)Cf<1Hp1qHFu|Dj@+H+d3531(_^*eLPT)Pcgtuoacbqk>L<2H*3Fk`vUA zC?B-@H;XaNg%+DUjYL5Js{55WXD~xh@y0v4N$Jh}tL)$%{=cD#Qh2ZxdzR{(u60&y zpAYlYZs=zBo4<;^-tQpU@d&lPHL|gV{WMQT>egJ{S6uBwYZ2hJ5Vpnu6T1V*`nn&4 z*;_tT-lskO9HyS1X7;A}{!<{6i0nt5u3p5k#2a!4)Q(%THFybstr#I5%Cz9XpPsku z@W+|pzcSQbdKEHB6qY^9E&{kyO&~yD*IOXQE;k~dtg>6q0#?i%S~Xa_&(Q>FPX%-~ z6X9sx0hjNMJuFLy$hj}YP-N4ljMEygoh`Sv!5u@Cei_MiDg*oXH4dA<)%2fUGuc%^ zEawRT&`+%6Vfb(cW*?G&0PoWNOB0O_gwrBT#1?$_pl)o#EFntwbBH*)%uvsb-Q_Jc z91fzT=2!tOL5E3KL91F@MU!U%1i+oRj)kst&=w|?(*#`+gTu8jc|6k3PZ0xw-<`_2 zFpR8J{ruBGm3oAxO^$XEW!v!*@NI%W|CmB_aKUkJ*UfCBTTqEj&<=BK2JRY*B zYard(Z@*zus?3WEk2}N;gInFIB|wOAstvYDC7XVW+4}^~AUiU(gKkttR8lM)Jc*T( zwR*8CQomJPY^Fcxkl(^06vX{k(aZx@LEbyIqATCS#zOa{ltL2R*U1K6tB*EA+`Fy= z7F)(L%0Sfar$|8Vp&>oj9vFX=Ql7F>n&Z;CZ(11sy8>C!6qziI62J&dh1p^RFIB-; z`~tScfEHS@d_hqJqeGU;d$3Oh$v~@@u(cKCbBCz+h zF*%-U^YeB-8?NS#fGZLuhJiswh=~FB@;hv_s|0A=c1HoP>h(uWMJvv?=cli{@l_Dz zpS|9Z^O{y8w(Jq<=TBBBkdGQsy1g15IA`3YnA-{^YIya@uD~48G3w1(;QLz!WxsHtB>N5ij*o z>=yqfZC4!{3@b`x>#y|J5IUFsRuldi;(B=L)Qq%xL(oOUZwOWbK3_|4SxPB<(`TNn>Vg+5RX{3kWuZH51tE@mWLp-!ozJvT=L2*&)e3&{BW34^o`EJZYA_fJ zi@E*|PqtbMpC9q1?^7Qssfrt}bN^ubW(*Gddr)cjn@IpdhP6jPC~sT$9S|z1j0fwH z^wLm%LHWp|AC&)ruV)t_+8}!plVrzKs+By{d*q;O$%%<_@;DeD7G(C&s`-kP)nRBo z8XkWmo@x*M7v!E$>2u^vz7*X&O)gq_ZP-k%0%Yjy!gQ;cHoe|FI(IT?(G-&XT{=6g zNqA=wd^T*M{jhTuqJ95%F&R^yyIe!nk>4HrcG!C~xX|{}x6ZEwQ_wv;N5j*eoHl)+ z^?(L_sWiI3E_27P7ewwbMie8nzw$5o8#3?9AK)(I>CfH5kI$sjElEdo9UBa0{>@rF z>0vRDfC_X|{#agXmcPe{cMJv~&b2gdNeLoAgDcNx(5YNOg~ihWJYUfgd)ES8qVBYp z;J6i4h~!#=8@0>O#->0t@0{!aJ0p{}b|&_+nD60E++z%I`76JV(-yjjdvzg5uf9Xy zxO_tGzHkcrIN~7x0h?eg%TEeN7DaJL#yRMPZiuKw{|zs0&sg~YtFq--R?t6Z5no#+-B5!7H)35 z2SyZ))Q)hf-yalzq$)rMpVxQp3)`nb6G{z>yf2Ntj~gMQ#ZM^b8W=7Ol1?2u+YNh; z)Xy(3=>4nYD^)LY9JKw^cW7!?B!!()bM9?O1R(|}J(?LjCD9GfdQx~`GQZg3DsN+0 zpT#3VoWsvpAH$K`-SLu~%|J#~TLx#PI~pBSe@U*034WZb6N=Sk z3Lmqer>ZFTB)9*x-XX7QN50agoR?Y!IMg z?x>}ULclZ7){u70NP+erGSiASO%W8%&WtcK_&uj*eEzG1U8eZNDE z_60L>uDXf_8XFsr(_t@BrUb?3`Kg35A8ljL(dQ$t>n-7!SjrEqxc0;;dpKCd7y?1e zxOk~9_fG^s)RpZwl#Vo`&O1R$`2TFL(tYE*!VUzjNhx$3cuDgVd|>i{@mD`6)I2WH zaJVJwMO#6lITCn~wSeLr>OJyqq;6$*4RO4^p!RVjj^IrOW=gf$E6ic92?YQBc#9Y& z9^P5DfLd&<56Y{EWM4|n6aS-}=Jn1h%!nv9ndT^V=n0BunJlz4p|D*e^#Y)LbhHqO zRk!lczw2{I`*{Y_uBS72f+>xUrvioHNzgy^Z6!J2`e@thu3Qh3LOKZ;@5N|8s*OTm zmhCsSw8f69Yo@NRc+O{E-U2V&_KVs~8F6EEq_#DO&SBvwcHeB1ERdnYZlZSs8%4O3kG}zZG*fIJsgYFn74z?*&_@u_l6V6-g7P7b~ME2 zQL6|W@g$ZXvs47HNU$n%+)T>g1EN3?mx4lLg>Vq)upo%S$t-b!D-|BFa@rxESx z&TDYr{X>!mKCdUUP)4a*mh*1w9XEf3%V!k{sn)TFo~?QXf2A(jf3yI7JPWtL`1Ux> zaUBY!yxHt4vVI_e%dn;Sf@-%O3P-GYdf4G>bKz7@zLp+$sG6#y-{a1U)zZ^=&+3Gh zzMAUa9B7Y}i5y*fSz)P`2@*}QqZWKv*`yG~c_A6}Zg*TQf(%l47>(wEO2yR8^LavA zvO%>WMoR?p4TeL)eQ*^}+$4R2_Z(>IfZ-OztRBh<{k5%Vo%J0IllhbMlRvGE3a%tu zz%Qr8$57W%4CZdD8I9MK^0M*k%xh1o$FvA2xQE}4D^jr^kR8mPweD%SP(e6+{S5zs z(}{E0nU(ocy3BM5D_zYOiZH=SwR%+G=eYd)8@%)4W_NTo*iMQPlD9Y~{JIAi=hBiy zzrP$85fHFve_RV&Z)w_ni;+ET75a^Q0&M*9390wBW-t%5LZjUBr^&Oh8|Oy2<81}0 zQ392sgJ7!Kog3L=e?m*OQg06`<^#mE{;a9&uY&%_#z3ZB2d8bNo0YH}xsq+MU@D`&2)iS<4ase=a*v@emp8bXaSIh=)xF!OAK6;Y9H5VM!Wp+39koI!( zBTWG`GK*SI!-97_-5a@hLw3OF4(b~cf^aIBtp-<#K3&J+3*T@0M~s)ol1d*Qb?`|HPOr?8Jwyett36EN><-ibPMMxUV>K&C~u* z*`thhk)}{-8!y4WrLEYrjXG0H)X9+Elk``(F*ESg_zrLVom#W+pz$l>lwoIUYiHwXYAUTyn+ z^D;2q564!LpgW+*ta0?r9!{FGyP^n0pGNb8l(+GIxV85Yq=20R>j6Dlgvl8gB*=8GWXU7lZ>(r}^*S!Qr&$9kx8HHSUeH<*|hS)Kt z?795lrhhVn31NHaKFFEd;cg+X`fv>9Hu_Ryll8yDh+wI`OlXscrY-bVs5Fw$Ge+MJ z`P?2TCqA(MK}w52^FbALbcN4Z!ercXKU*uCG^a180|Ks~qFFu!+zsy56rWCW@2&wa zO__nOkQhv6yBbMR_h&`=E0A=L;mA9o7=rZ-%xDoyc0qr;vX1*<1~1CKPqIyVLQ_|o09SV{?(J&PsA^)im)QNuumf~&qu7^*KU z6S)9GO>Va}s}Nl7EFOqr zax%}mY9cKu+mBsDKL2fx#(ZO+EbE)DP&UG$5`%67`O0BM0aI(N4M=I)rjS@k2KHJF z-{PG{$akzz!=J$o=}>={B*5*-Uu(jQD{l~bl7wuT(8+@!LP@OFj?H)9vUl?zd&sul zu$wP=Qjn_PGmQy(UYw9>7+#I;!*{WD$8b)%ih3#-r!gx-4nu2+NyxcCW3pfJn@(N- zT6+ktUpo(?Pfc(!Re`fm?Y@*=A%lz4D!N_azwx&6j2<)uXX{YLO~uswmjyttnuV`) zK@jPPLTPSsA{Eb;y#UC3$$J*0f0_T>RYRMt$=cJX!m@kT3nr7{!mg*{<{s+m--R5aE6| zSYe=lOGDGNCfHu|f%yeBG#LqL$48l`nQmxbsR;9rgel!r+>DC-j`Q9(V6H~XY5m<& z^~V_k%)jg0iGhlHLuK!6%tZ-kEZEq+Ja!^)u^nwOk))ryTpt-aDZhXJ27_q3hd;w? z<7H+>g2TA2LL1;}Lu=dbAAC5gM~li02f-$8&5cZYB;d%g7m|$37TnGT2(d7+{LU=}nAr zjBKmZrzS$`p9+OVWjs!66Z^OsZ*ee?dyc=3A40O|vhU<`(B zWU}VRH~D#GXHWgeDQ9NKseU5L8ipV~aP-Ii=Ti^SE#z?q{f5165e#q7yK>>y$*_78 zYB1%Gzq!QxO-t3LR#Vpv!^j&SW0AWzN;|LLFl_>&Zf0AH+2iqW%~@3Qy_0FI*Y5B+ zo9MvR>4Kw}>4K22<6a`X{|{$x9Tiv5?2F>T-8DGD-6goY2X}|y5Znni!QI{6Eo5+a z2^QSl8RSj!owL?i>)j{!{k+; z-!WYPIMt)3tCvjDLU8J=0Zxl#qtdm+?(L9)aFs!{m$kwf+r|5JHY1X6UtEH&_FL1} z8wi1*$>Q@7lij&5v(77`v%f70(p#}QJw0g7ShPW!-afXtz!C!r2+D?5qM^v=BTVn! zwU0I9hmk;3G8d24$>0{<-uE~74f%HpMO~sq;nYBGJtI`F$s)C^sjV_<&pC{k$8CN@ zTxxnXx-f=!ANME}Jtwmz9+&9ATuJeil0@Cqp@&4Gj(oiR8M9fGinv^4YAM zQ8IKFn;FRs$YUZwClSfSQYLOy1=zeIX29$6wUNIrmK}Y{MAUsQ(VDB#RQ(JXeyI3L ziyad~i8uYTP|px1Ev4ia*kB#|=I6Kio|2-j_sptIWgZe`pJa zm1&4SwKQqXykvax92VNYH5wcs4x@{g3wayye@0mz2)Sr`Z+hZ)c{%qbc9FPqssvIP zxNw$r-TS?sa8hH7MHZi3lFfdJPKvVOBH^^Wopec`&(`TH} zi-jef3>2Jg7x{CsrSa~79D%v0akY6mamCg|jBk5wK>s`G zk!lQ6eU!iO@H_K-wB$V&{GkY01XK{Q+wu6kyz|0{KDp$EEvL<5j3oxC;;5c!m8{fx zg`$Y=MwPA^{cfcHZv7O2*VBtdk=71ej)>Q=fTp|_!+RRUwQ(W;g$kJ?jM-Uj6(SX?y@&*b$3N{fvRPvG%P2F=If z3C_0Q8EiM4feYVBiKZ^;G$QJy2HyK9Z_{7AECLmb`0M+<^iawhtpF-~3&!ybJmq(G zZElp<4MtmQ1L$hpje``wnk(WpNnLDx+rPe{K6k(tiVWFsm?ZD`{mlQtSj@){wA+9! zM|VhEGYah^@*JA6Z?BCoA2<}M#FH$<$CE?(7Bb~Z@}2yHO74aEXK6gWRp|Z zW2wOoWjYXnYw%19_{? z^cX=dGsE)Q^meA>=L!~2wzkv{T>E5&(y#%uSq!o#n%##6jZ`PA=5K&%ofkfVa=hq7 zzIrqL0p9E{f{VH038zLZBd8sMu%$NIbgb4G28e0#^+$|SoWn7Tm%)W*XS$xWCQ4@y zjWCA#vUpa?Q3A2XD&$xVE%?92X^y4|UzUYj1aG?if4x3=rY?K3LnPo9yH;jluECQ_ z1eY8%xKbX+b}NSQk!A_`B_z@U8k@wqIgPTz**#VV%|}}2@}7$Hs)8{~u}Iz+;m&J` z`(Pdp@TZMcTNrI>&ITOjHgknMvb{5Szg!(%G*(D!r)O(*a8{)O^WU}tZ&r+$b zT$m5d`|(`fd&e!sx4WHj0|Y+Nvp-L@n7@efeg4y%c*IZ3WrpWQUWz*&g=Vs{jEHZP z7Q8+T?0VaKYvxSbG?FNVwBx<$O??#X=wHNeAm|anXXq^FP5HjvlKO_R>ceB@_-(u0vnc#WoBxtL^i3gmbQ$m}1idHU6(t|(=zoHnr4II(g+9a0W$srGFLqH3q> zLPPNOoF40$5!k39qV)R!*{+~SR{my0{Hq98S~A+?pLr`L&6ZZmYaQNAKoID}K=)xe zG(qY0$TGdnhYXQi!q+mXlJ#lg)@$REDyd*=Nv&_K7j$SArgFD+TR(P)#5Y$E>HTOx zlsr8xgO?W-jJf3^L5BS~a!|x_70USM!<(OBdFT|k*`KHC)ko_ab>3WzLqxTLx;Xco zR&UEP*_6vU`LZR&b9^<``o{p297>cZJVKd3Lut&!P*N+9Yu}DwEiwdL&RI6_vfD^! zo$5rHUV9CJPbj)xAjedt`SdU&n#w@LZv)*{;ikn|y``4ptCf^y6!L4t&mSsDrxR&h zwGih(BK1cy7T@IgUHYZ$fs>(`@@cfT0RYZlHWAG?HU?YSesU=2MR%ZNWC@|Oy3X`vK9LFqzREIhQGrW$kiaKABA%f_v0 ztCe23_$BP52Dgv}bZBLkV0-zQDomVH$v^AmAyx7!6n1=N992uksblO#c$N^%MoNlI zZy6V^GKtI}GvLRj&|ub9O|`PQpS=W$`T`2Ylcs5W{6*~llowe;<$a}fcFzr5r=`^2XwN{}!$I%H1iivKz6#)njny$ZhO2Yo4H^he2YSDqJ&DH|a?dIg1fUI9l`>gt)19I-} z+E8?{7k#;m@Y^%ixNl=`=GE(RzYkdV&j#9Gnt>k{US8$)cNu=*xUV>_37s7!ufn`G zhEzHC0)$PW6{vA+)PgSLMKtbUYbFrum(B_OOdA}Qk$yfUj|=MOvL(;`YJ645a3#KZ zmbbPmhE?SLje6EUZi$rU--N=Ptd<|TW_H%(-o?oE1Cs0Q)mXG3}@1C&CjHH`wmL-;@zoiV*K|esr^0e>F(I;n*h_o@3)deMx7?0}{Eepp z7Z2?s+9?kM&h4L?aXItMQ;ce`)EEgauXN-}MXf|`k5;)Ikvr|)Mb8k^WeA={w9rU^ zx1fv6w(gx%Q!9Q(?vkShIgRn>*NWqCD_Z<%5B}2Y`=5TY;ys)@h3I0DUZ2@YJEDo? zo4W}d5<}{b*c01TuztJK#SGbNcWB*P{;9BVBWw@1nR?#V@5|s@VUo=)M~AKEDEKyB z>Ylu$up;oCuw=1`a5*Rz$gg_tr8e&tH{Pfyd1cGCyompqToI^*?Q$Vj9MszO&Kfx0 zqWL0m2zL&bgyT7{OriHj^h` z#F{w__%#vsAk-R@rL@$_T{f+|1uRFm1e{ZU)S2>H4ev^84HKnyd$Bx_2@#s)r0<1Q zuOjFfr}>TkCl>ViI8JEtgm!8AgAaR!9D${!ZC{omG#$;2F+w~qxI@SCaUIqhc327D zR{o5NK!mz%>=;3f4&5oPp`X_rDO7J9&0U#PFF?e#*pNuRHmZW(T=aGwyQzz4EhGd$P|Gzi$&2r+-vGK}~W3 zUf|f4xdkh=+*WJ^y#<&Gn5x)TPU0;6)@M|ODs$t!kP<^!#=+!G;<0sfdB@eulRcrMv_Sw`UyPoLK?LlJ$;^xHq2VQ(EwmxJk{$;r@g(Rx zw;Y#Jt&qtiF!^)8CQ{zou?NT6bZ+;w2=!8f@S#Gpbi@(|M$+r*26!ej=|j=CwM(DR z^8!NH?0d0e9wrPmuAPmaM$dPZSUtZ4I3Ek-Yeq^pEBLc`UH-ESSM+Gk4o%g<=6G}#eS#ZxvbEqVTdKt!A&E2%Gct9g+ zvyjRE16+u>>R-%S!)@hdTN$s2Qm!LIRT z*aZnpKCs|mcEAw8L_Ypu;6RfYi{X#nq!6d}wb&1$!`CJoaP6&CECTl^IA18b5zS7_ z-`{_KzDL49{!4%_5)>4of&aNJ1|J_OgZ{UL|8i1MV8Z;L6^WDRt)`eGi|M!;3-U~Ne{|xwZDQ^&A=ao;tiRCTqLKZd z|3j}#8YZqx4GLXsW$I5$Nge6Uc|AMx;SOuBRpDg)eh=~U^jZWF?mS+VZ=u)!KHBg4 zk6MwNO?<;L2EvGY2tLfa$9&ANl3q%8mP>&y*mf<5JLg1cYMZ-5shWTLnga62 z$A5J#k(HaJn#rocc2z5#Er76{cI|qlSi4>l+1&>IQV_gmaip~SG4NQLr1h`ZMq(dS z7+5D_Pl^n{#~E^dRpUeq9H;-sOIJBf@L+ml^b)*Wp+#DPap8c}o^KkT*<`_JLX1KP zYC)L4yb+3yA^Vs4DE#L(_e!*_=cize4z6SC4%}enRV2b8|K)k4KO+2>hoj5*ViDL? zt$EX!4*ddfFg-96qO(kL+(4KA-WrB(RQEJK-o_k^F4m9qUxdI;j$rt}-n1qBR*?Ow%?7zO$AZao ziL8bq#*ziz-xkW?Q^Cs^KR1`7FG%53p(aG4eyL=I6cjIX(UM zYt&fNV981SBA)0IwSTPjqW_PgkCFsl9W5LK&%{)`zh;q`-RZWW@b?C<9yPP%N6J)@^MG)i;pKLgpb8~O`IgV>DC1X#Z5XdEMyGQ#gKSKNs#00)$Q2&gm$W`PcG(HGaR8&OUkfxzLew-4Lk9W z5DT6kP;sIXf%?)~o$2Ezh9PQ_Hwj!J)ZE$oF87+)wIX*AHGcFa$)niSgP|3!q^2L! zIvpu(w0b!ADm6<@%M&y%gdfD8AcDKOcXWCgE$B6e7F+0XDq75^N0CDP#DoA3v4!4Y zvl?ZV(GGWr8jka+d_zXQ*0UD@?p)BvD=HnPTooxSvPT`Sy6$@p{n^8fz{w`YoaEaS z*iV|pTsvrj1DBM&Jm4M;`zNYk%>)SZ)wYSr-I5TzfdWj#{dphIjKH02(riDc6kp{E z99VgWn>ozyOh$`J`e*nmw#kPLbv2w>9|5vZZF22aG3y_=r>=WoVo#)UqG3%G=7mdNkL0IY&3e5|^d1A;>l?l!&iaJ-+zl zfS#4d@++sYhUjsvAswCxkGTMNS{=Vt^j#u>77S!56su_FjQODw9m|Csv z6wYeQbbK$F_@b?V*wf}VVRIMlymvn24ZG!XAQRU|kStu39<8*hk?WO_ve?Gyulnnu zB^GrbdLE|PtNRh?+hc|r!=4Yi*9ii;p~}f43HCII;DOI{>hPoztSZ$i^~qQTfBy~@ zt`aPMOZHq%|Ak~wijZ|CUsbrKc7edmv;YcDEJS>|FprCUPzL&oSt0xhB62=w<vPUA9}b7SVuOSkhgotD7oQOraO~be zc2Bm3E)9oZG(I&5Tw*)Gf})tp5=RU|%3Dr_Dm_P__5AW`qcduA#6n@^TcV1As2uj< z)`54X6^2v~(p|?0i8y@}_LQuK=FKwOAD?&O+Ic{LNUu8)nS(##0caGk0J>i9>f4E= zya_Y3bk4=F53q*-VkwWQG3KR$3LkIW0G$C(F(nSMgd%0 z^?v-PmTZdsoxLJI%Ps}>YM~TF>gr${d(~%(l9alzUEa9ADl6v!FU7l*RKFwCn9*gv zl;Uc_$3xJS6SB5BiFRqd4lrL_O1(KvT`dKE*H@h_STHXJB`T_5+^JMf?xL zPl7K%?VrWy1xhF{pe0w|7T-u~LnU z#rCZ0Ho50*w509#z|jPxn*3myHxi6<%YbeWqDwBZof0~0 z=5ggYN*+_Ljhl)s%holQP&@a{l1m{3s;K2P`t{_!f2JIcd+^hAw_k{CJ;tfwe4^N( zaa(UfjRVcr8%5gB@>uIXB7kJrrJ1k8{G>3wmWGvtU7776QJp8#0SgYnekrs0qjrNA zX-d$p5Mi7s0;FsfO+C8C`XTLhAvqvf*8=6c8{Fw?PZVOEnIbPZSI~L#*hZ-#c^>7uP0XK7z zMR;9Q54SeUqQgz8=R5AML2~eTx{J!pM%=SqM4gkqV#PNllc~1R84m-n`gHY4Qd84L zJ^Ax(wtu9*1AV_c8)g+)Wo56dTx)pMS^_B27@ggLbD82T6~Cs;i#Hb z<%T?^FW5jVZg)DxN-pL42G5=TtS?2fR6NDllA=mPn@ab&k4MPwW|ql{gRko$CDfpSzh9cLvSe@A2ySBzN8c8RuK}+rF>oBXe>3Yy0oM4jKcn24$}Z(p z`QeXeQ?DO3-;nU4y0DgO z9KL>gMlpZq=POuQIaI5KUBaRn2>eSS&!lL`bQ?Y=KA{_`eW@0)$VVmFg+K!7Dc6VO zoV?N{-ue!K_ID6A3TA5KBSv*9O(@j5Df%H>h|bfZ(qJ-j8=QY}Omo&cqJ3Ov|J6Pq75{y9wihdq7^Q z-G<)=GtpAoU!f?Vd)yl5v#eCSZEyUSnqjQ&KLM#XK0BD$Ra`L>Je#J(q%d9G?dc}X zh}U{pAGBUF>wbTLxi}9Fb0!VXLVbN66^TBcsF6J@H>{%~u_77LvkU%i8dbiSxzot6 z)}Z3fue34ID8ZTq7$^Ke*F7-73=QomnS(Zw^aUx0tup_Ua_U0S?>cb_`?DejuCVph z=ZM(L%re-z5=HmlZzNAc%V{NJg3I&sX%R?1CR~T7v=i+yW48y-=PkPmw;&cs#BZb3 zKDEMHFDNX_LUkkoDVN6P2uDPJ7lDX`NQg_7@~=&~8h=(SNl! z#wPKMu6r4qYZ~x@Yph^uHqu|uaW>zDdwjbiOC(4`7L!^%>Op5bDLt_)lhXbpXRNpP zsXp#pekej-U)MHkmQ`G#lqIFx;u$`-9c&`pJgO6E_Hw#P%Y(HR)1h=_medxg79ZL& zuEgk**=OM4r1dhE1 zY>UVGJRQgKgL`hP!P>Xfz}oJJ2OIsN->RK*D97_PqG8)%pVrOsPijE{cJ%>ticyTa zOi9@q@pg}*OS-d8{O^wh)0R~e!{xCf3CqVGeLhDyqImv80^2}*%Gh92HC()@i}`(} zyCF~<>u$gq!N5PE;>RKDVlvwoi`{h z>klMz87B5cqLm!v-YX+(k11E5k*E0fXWiqzQYIkItqY*MD3{kQj*^xA-zsH}G*#@kCK6J9z7kAkN2v zJm7I~QwWA)p#RVxh)NlYOE?m2QE|Z4)BH z!r5+}`&O)lamts?N+&*nk?&6j(BLIW^pVoM4B3;~+RqcB2pu60Is?1;f?!SOD02qM zFg2#bjR10xaOp zJ&9TMhkkpMTIYkWQcvU-23c3?o1{xTgZ4P7H+|fm1|xmS@hW9ZgOO}hjvcS-1Elu4 zwA$`DREL&B|1AT?Y8c@q-yI&)ShMl@(}61K1>7csefly6QRVh6-z$;Ompuw?1|PX> zvd^DRW}C=*zmN4z=o~zxFa&5)7n_D^rlK%jq~Q(}LCQ}}7JJ+`DDZ+ZcxZ`7Dq&wP zT#SP#nHW+_+>R2kC+rk^T&f8g*AqSCH$-l)AO{zjlphv&yfKJ3(e9G?d_h(&Lubv z8?FVgL~2GT3L<+=UO&_Hzv#T84&8d*ZiYa}Hek6WWRLHo(cIESvWc!4u7$~xnruo= z}`6@d(z>mC0&ecZ!D&vk1sq0uv#1G zKoNV{P9u6;hK+1O>NR>hydN;N6 zkXRYWYZN|LRL}#Qe8JueHO7i9UOUFvhW9p*e8(-U4cl~31@6{G{)9xgaCM!3OY8#3 z@V)Ng)nCK+UfJ@ILOGa?+^H4;xy(Ke(}tw?EN;Gh5$^y+dDwy{oI2vZ?!Di(Zr#A;3 z??bB6NrSE5TL`;?r=Mdxu%38mQqMYOd8>X855}_jROK$EL)9PhI$U1ST;x$B*CYdC zY-UXi>hYrS9;gmZfG=!rT*@2orzcMJE`y&&nfXUYwR8)r0?Szd4KAG`cd6MsYri3v zi)IUzEr5Z|2fV!n7#C~$eD`XwF~jSwY|QRz+wFBo-8_PW=)TFl{O_WHKukDXwx`Ps z$N;pGw?AgP1igt^rITN`o_nk8&WG0aH4j@x1jJq$Le-Hhuj&S*;wH;vE4)(mPTFhB zfon%+bPnk$oaxciUN5#Z^Q?n*E1zj{kp=LP0a`PaPZC`fRFw>A?i0{&VKen z6=?Th#|L45bu|N@9bb}Ps?b*(`>=Y`7)>lZL1r@JwuRoR-yYE)agsE+(wd6Mo}dKr z7fmRvppm-136xK+S|25}y-f=lWB$aFcBp>u+ zBa_25bFNHDn_K^0ewmhIoKC=vDlSa%<1V@Uv!Y4jlH}mM{;$1Y10D8{M)Q6#P~Chj z9tii<0*NfjI0;4dk*QbO;Rvps?N(>EFECAVzhBQ5%d<6!p zlCywY-42GgkXBlPRY!bMf7yD1?hM%lwJ?LaPd0Vg$5C@mvcNa)N0+ZU0)tszSgm_F zVpPNzj&&tQnl2W@66dBC<#SfB+LQ(|Wx_-03x&*k_7y6PQWkP}EYjeUy}a>rGAnxo zzLw46EPd$H&sq@az~_C+$8q(C;hek{R~{1Z%Cs!<*Gxn1+c&5aa=sU49hmr}G@tkR7kRXo9_c3`CMlWT~YuTI)dw6H8b zQRfKxl^L?Sd_nXkWaB!sb0bvjSW28gP58wxc^CVLE2~8}r_N@> zlGLvaeo57G-V*mW4$S~hI0ShQ+Evur!uAyrvMszn8ignDa{KCJ`PP87;4_Jyi^Q6D zhQfTg5vIW*$y$ri_A5)oU;_!z2Zy{JDvw<8i5%JHN2uNyZruS&UYfeYGaKsExx`Eo zqOHnD(eRH@(3(j}l1H2%)}a#Z9Y3?2U7W!Nx36r-RY3J5BXLdFPsIgYqvhQp_Ko1V=ow`;Pr;Z59__B6{BO(qF@0oAQYrc*EtD7k4yP zvp+Udg?OTV1UO@#MC4d$t;>z~R2b_z@j|CE=YQQVf)VBe=By}<6KG{StPa(ET~LXV z$hZ*qa}D+;$>5mcz;h^_8gz0aYw3F7BfE)U8w1RpPM(%?<<0@_XN#}dpcbHb$*iSK z66qGvx+lpNIYCqem-+i zzl4_qREv}8m*NckUJHCkE*yU`V-Cq|Z|q3r=%h{Rqu8KsM~HdO%7*^U@wEAQcEKpL z(yU$?I-81`;G91!(E?O=Pz-su4qMW60hkbpF3VN&=t18`n%6!h(m@kw#bgw&kG|)N z^>#IZ%g)#ktF3-9;R5c2RCQYd1pye?Y|slAbRi5}d5Tf$#BRf}+?vpq#0nA4LG;Au z4LLjF*S=-OheBp`XIllkRSD5SnFj5R4z%x#O%NACyc!NN-OQi(dh=1zIq7?Rh|4y% z@lnY?Wgum^TjiEqr>YxY)1>DVGvv5Ty$}?Xt zB_PG{^iG_nEZ}c=GP^6IQsyou#EqdQEHYzFbY(AhH@a5Q8yo)_xhnK3shGOVaP~sM z!6JXq*?d<<^&*-ssu|8BAQ>iExYOi~wQwg)`o2b}PVW8Gp)t}%uq6Hd^-r6~9nmWk z3F_U0&P+Ga*oE%2*MQ6OKA_GlCW`fV*MxI0w_l`aJPnM<#%J*}Rf*Slz3Kra@r0+r z(nc{;r#F_yKGW!6bCxs85IqSOaC7K#*r;}2Y~87#mB&Ib{nlA$TS%zx5V|*y<>s9> zcbquo^Wk0h#X;g;GJoR|V5F?hDtaP3=j7T>1S)36#T;?s`x^eK6ia!CHq-to^Dm0N zfN~ORp}Q(<;=2Aak(x#$HvrHr#E#w=;DchrI4ji=QvE-o=tC3IEdGYk=Ye(w*vS3D z=jlXQyq~0~1<4;j%YI2pd5xt@!$}C}ko)fmYIBhS z?4mbf9^wAPnf4vpL8buzGGI@+1$DA%3P%wM;f~3_hn%YV&-nI}c$uys55cU}V1qT~ zxA9G-_t}!iY~tv-s;K~Ejoz^}`IDas&>(^@Ja{F>9?dG9Pf!m=xFter9T4)E!?7 z_+3jRHkMy_9bw5`kM{2LG+`NwU0at#26p@YTfe;KUpAW|~19<8Vcr$*&lpU{A; zXjigVwF=qQ>#~CW|0h^mJ=~z~gwcj052swYoz>w&dy=Oj2$KZP%q|@{QA6@*{x@7r z_Kuppv|03VvEMzr<8MX#QvNwk4}@RJxczs0z;usY95@Gld)nB1o88~PKOowyj_;=p zU0}x?V~QnafDcg13%`6$P5Z?i$-u$CT?dTFT2HCVb6AwY!GfhUGbplvBVE6y_}RpX z;~#zOC{G2B6b>YlmOn3{#Gm1O!26=lpp#T4laGy9@&1Y1zWddiTE7suOgH;3eM#cD zu0EpEBDlEekSB+to1tWBP*j6!7oklZ#*G#GrjJ)nH26hoL4g2>{*k-s&@Em#=^1Wn zRe5Ij6F?E0$1Z7pub#|K`DxyWF7`VY&X}cSbdb;a3Ew`^lQeJ1(6J|PNpInDEBp^C z5T0T~Y<+{nXVQa!M;_iJP-aPEYbJxcFj4=$kh&a~-P4mytJLDW)0dQT+6QN=DO5)^ zX3;lz>2w--o-90@UvF1C188Rt1(ZhXa@ZMPzXt^0t{JvwR0|EwQHZ;Nrb6YaZT$@U zI7j6&aV7CRUZ{B1(Oefki40J@r4sHHyUW{Ayes_QFdPGTj@*$`WrBulfdwIPm@#s7 z??f8}pFv-l99$hBcH|T~n_?#ke$l_OXmim9Y`((e(_RAGe+IVdp&=HL2G&E-a9O(g zi3{|&8DfZ03Fo)6IKO761bbIg>W2~}GD%xDMNn3ic@Lpz(|)rT1Qx203=-nJe*jEd zUGF4AviluD2@kH?%47=(kPS7?{XYbkAB_*wqw#U|=<^1A@LLa_(bi~6uN%D*{-Yw3 zGE1Dj#dQ&^5qW>EhYVwA=0Ehdc3215+Oo2JHM~Ucq|+$0ZUEOGC#gRd&Go;qe{ z9<1x8eE>&h*uxpfO`_GVKCm-I!r>GL$X_2e3&ke6ch(QAMd%rh(!{H4@GLb`7%YM( zqs)`FM%II&s*hX8hwNeTB0$V-8d?(B4glQJ4W{V44u2vS>(((B2?~6>ab8{qq$_2o ze;EnMSLK%WQ{G#-FK#=sV>S7@cfl)}BNo-QV4d(VSKK$^F{6F+V@)%2wrW1WCercG z-c2gL4Bpnm;Ln>6Xx^o^BPJFEXV_Wc;A8hZ=y0mF{=x}xME4f@ww5m##~AVKqy(7r z^xg@xbQdF8xS?W?>IqlDDniuV`Qs1shfVApbF3V5~Eme09(2M;T+s_VtKj_=_sBc8FrKArlt+2GenkEOd{*z$=R_ z3vO*%TE6Tl)dv(s$@{3dVMymRg zXOdjpu`ch$O)}r>q2By!ucFZ(>~7q5AJ^~kX}=#!i$zFw>{@$`*=;TjD;_PYvB5mu z94}NVe=#`>*|?^MXT753{pD!_kE-|3$YwCFveE57An>za2D@p z(*xiZ4(QaMtABCeD-x-=73xeK1rh}>Dy>>4}RbO{E9OC8OtKuK6QL#&IA zf|`K1LJiIZB4D8+FYl{-^;5*5efp1rB9)r+4PbZvQ{6Wsd!X5xXBKro9qkNma!J`@v z@!Y0r6(I0Iwnb9|9JO2f5=T_?T5i+=Ga#RwuaJK2W^@DpdQ!*vJXRca)G|Z8vII;x z{c%aP`ivxdpE``D zkg5l89*!p%6I%?IUmp*+ifO=Ry9Z4@)4yhjwXs_XQcfKh_a}JUyVpp3i-mN0I9jg# zM!fgN!Oby1mGOE2T1z$7?Bi|4X{UIr_#~A^%@(&mDNi?*(>)lNvi8JS%=NkIKY=KR zQa)&FfY%5ZwZ4KeW~g3ve&0MFdp!gMa!lw#{jd?IlA)V$S~3AFIM?^{LcjsiLd4t< zb0N!oAg<&%uog>0Oq?=X6+0}lQSCSc3Lg3URtwl&&>fJgjq!zB=)WD298mwmaaq$V z*6rvr^dpL5z;)0+?@(FfXDQx(eh>_d-_|JOA9mL-Etcx#lJ@TOA?;AldU|Pl_sJ*i zZN`^_>&~2d=O^U4s^6xLC1>ayDau8iF1_FOPdKK^dWf@n30MXaw08Itc*qYRo$;mmef^BSC+>Fz=X@omhr77%qox+!oj2Zh;!aD>3G|zC7UBhFCaY z1!l%l86TqJa>dp_5gFOA_Vz|9K`(yY4`8|ScKcpU`J3H0fK|&w-I)<+AiktWu8PVJ60T;~m7v>OP0Ox_$``s@Eupb6cP-G*siMrC>eX6{; zfdZwmVVE^$B;YG-XhQc71#ou^MgahSlOE-gn8$)%l^MF^=x2+dHdFn}j*+yu8VedT zRmWRUd?0yy6VfA$@;=;7-E-JXI**?`Y&8f4a1-er&!Q-5eH@vi&CQ^>XhhOCx;d%#?F88OpN*9I$zx>{#t(fYN z*Npgr5zeRB^7;zwb!YWgqgP9MMSM>AZ#dz|!-K2@veTQ+NF+(Jo#|2;MO$l-{~Lyq zTVH6$oRF4b`n(k%<)KH3Mu8D?P!Y$OlO1p4s9r`|N=ZS~#!<*Vl89?@+nY~klgVb6 z!{nJoq|R$+2|o0240i0C@qSt9T}@3Vcurl&GG7`s5Le z)56CZjr#k@&$397_DBr%epGhrxOg-r0&3S$DLK9-A?dux&woxI4P1KQK zQr}>KG$2{zq{(=|Pv|(>VEI5X%DbD|Hwywh`q{qlmYA(`{h6ccw0=aANHrH2 z;vYesc^tCW`)Ha#((+!Q)Uf2ev7eq#qx*|N^CIyyN`zu$@k9pmu6m=6s#8<1CD~wn zk-S(2BgcHITQ|w@Zl~<}{v7!Rj@R|QRo4DAgXI)7Z(ejCs!J@qn&p5dl*VsNQ_O?< zlOOKL^)MEearGesJK2)0&c6f3uOKSkQ#*ayiXf->*?CsjO6Q$Q@k@p>X)vg~ugdo; zT&b{Kc|$kJli62c`1Y3XN1d;-nilW@+)5D&!1)X?a?8Rvmmv71)-c8@1MV#F#f?}N!-JCX!)$Cz9@$QO#I4|doIdn{JT}B&2 zm2wwdcRN>Aw*j<(JX<)Yz}b6Egq)Vlb2Ois`>Adim=gl0)gO2_Ev#jsahs>aHg!Yk zQhTk&QCz^(6^WT8?WyYad*qcHk>G_K4FjwzJ|{`OM^kaZHpqE6*p7R$ zGGD5)+y;@4m%j0h306xf{@lRnzheOk_8*Ao{%{Po$a}q2b8HhVnf4Vz;QBUvg?5+n zvk(BPd)!wJsq{jg>THB(@du*E#W)UJ@t@#p@mo&VC={%frWbC!e;x-cJi00j@x#N* zHw>vdt>jiU>&b$M2gwpoAIvtol^ase2G{3u4BHijOJ*?8T4ZEf>>9;Rn>(d)-y1zs zO;p|dh=+PR$1tP9*6EhlO+V%>udgpZ8+*1E(9uL8c;LZ#(9(Mtn<3H2oSxr6-NJ?H z-Qt$NA9UOgOiqsHq-U>Z-(@Ucskd`2T@Q)WvuLNyH9YG>H~~L%B8c{MSu8vdY+@8xD?S$j~ih_ij!3OA)GM6 zrTIwS(c0)doV0Z3rrahb;ydVI#rcS-Hm=HiKUQO&FefJ3D#z>#AChf0Shnj%?kVay8}^107+ptkGLxr zZ%>#n2;iV&s&7(HHfL^;i%MIxsHG?4ms4ZYR(HD35??rfQP7RdjHe?_Q1pr-r=WC( z)~Fm5&BTy!0$S>xcdIy3P}~Qlo+>Jgow&2kNo;H#l;&MyI31`<1>V}aI`T+}x=suH z9_l>FFa9*bpuUaRUr8YnR`p1Pymyh3V*i9QlUOxa9&IGrNR(>os9LdF^9Ct`8%`y&1DF zp1)I1n`=cg4fyKGkgT{noZ$k|1<{NKd)4eo*#1t?OKh(vX0&n%+3*SWOk{D&7KfLG zo0*#=S&Qjd3);rIN%CNU5_uj6_#0F# zBje`F-y3O2qJ_0Qi*Yc6n?|*-URef{-ET6?-z8#uMfy7)zI5tP)mno%`J~mlO{kRF z{a}sa&yKuUa1t^@cC>6bPP*@GEcZMA%ge>=weOjAN!B$r{D*JEv9}E-X8fT(gua%@ z$*WcS7J+2KzgbQXbI|7Aq~;C0lAoF}2M^WBm$C_ZhNIEQ4P!1E7`CHF72Kk$dE&rp zxv4mtFr|k%CD2vkJ%ZBW(^t9!rLA$K-^>=*clpk@Mp3K8I9 zZN6p?ehV9-@UJ#@E*;P!ai@VHGV_&@Bg3_;lASVZtzA^^)MG2Gh?V%Jup3_rQbe`- zq3TCVq1Gm+N%pcU6@7I#o!Fmr@lvnX&+)tDsX646?%) zkJ;WgUJoyWy>?Y$In8FPy<^8+#eSwI2%7VAr9}2uFs_g-ZwJ^8duw|k^)-`^7r;#B zn8$(QnSwTSWG27=JM|@&;ajiM7%Z*SlKb0Jj94VhmeZSmWIx>_Wap_J$FTyrl)b)q zwBRi3Ybp$=uEmP%R4H?-%@1+?dVtY+p@%=#Z^xucc`jY(gkObQGQpOC4jg@f zcT27Aw&R#=q%z}fpPgq^bG`pe=JUc;P@JM3vdZ(t5N(WG zCZAzqj-#;ODBrK)v&pPuZyg3kv2zUW&6&e5($1ILoA8PviJHJ?x>~1a>q(zSt^Z;O zD3~-d2p+a)3Fvsqp)F$iVsTrCb5#7edsymOH z?pT7=5^8HCG0;Egr#&u%3I{0Hi7z4y?k(9sQ`%$2kNBTf@p&uNpL#<8zrzRn{xVHJ zoJ+~M>{+#m_S$d-LJNWP%gx!J>7AXMKqS1tXU(HF8RomPc_D@ys^Q_pUhk(R+j;!j zRuhV!U}Ma9c8~UX68iY>v!B>&kKM$oP`%Ta4kv2BD-=XrvF-OT*DfLQ=X)bKn_ZD7 z^~)`N8XErEgumE<$lrllzIQW#9pPybzC7aQZWz4D|E( z{(D8Ckcizs#^Nu+5Rddf5C-D^i7#8uM& zG$LzR31!EpkXihfr_!*phjOnSFJo0E!KuA==hMWH|93&}OvD-J-`_qdpJAc{wr2D% zlnxii0x2zT2WmsG^fh8uR33G=3^8BmCI(53GLsemGfyn~UwUnq^#Uq>!9iEO1qp;N zZ7TR{J*PqW9I~ek#a^;UK~%lKf8ZfcM@-OxK$X*% z@O@Y>n&%;s4$%JM5Ka9KVIFEu>4Q>lZc-cW;f-O$7I$6z3nsVP(q{NUs}f+_y~``h zfWHzT#P!4AFIpG6l{hM%O`X239tV@aOo{4CdkqiRJnIqr(l*_32Tv-z(Aokx6TYJ~T+JB8bPEcT+L}2(p-l-vv)=$oaIeLNov~ zSi}*i2q5HQS%i46FweV3;~rRgvZ2HV;}9kPPp*m?v2_m*^iU4`3x9KqGv|GLSDP(G zIF_def0%cj;cTUB$krJv_zCLq5uFtN3mNKn79xfP=C|7g=F$qa2-p_5j!xv>WlUkMR?lx^to&mRV3Hwl+?M}fY521@ zo8x#cbiDpHn@AbRY`GoyObs(1mTl{(cFe1JeI6r<>4VvNe%8y>+E7#6tjmp;)&TTsdRRsKa8N zUN4@ur*b@{1@h_R#Y8OfMrk4iq>l+fZ{&G_JuGoy+|;Zu;2p zRYjXYQT{3953>a4IG~`S0CL}2nwkeMU6Bt(V7@qBIWrVmBQA2y4e5OW;(pMCA3SD% z(Xk(PFdgG#&Me1H)u?yei!ScseM{>zrYg|HP=%PUl{xhnflK+%V%(E-gXf2xz{OtSlC<`rjm@!Y|s18l? z-Z0t1qaszAErpUOhV1^z=k|MM3y;lDBe^O^YnBw$hg zCjtBadw4bE4C#TS1H^2o&Ip4sdh%`v8E%>2VTnPm|z$SsYijM^;-chjGmpC~^CkzzK;X7c5+s4FY<)tca% zHZbg_SQ~mhMqcvv6{uv%;cA?(b(NZL4S(rLwShWeI&71CG;5t`6GBl$$?KW3#AflR zgE)F~)&ex+HOqb*UhNO$TQ?=rWapfxN!1>=#6}S0tA17rwmg*it6>W&N`P6Sa|uc! zA-Y5rn-$qBmaD^$*BO;ATJ1dDegSv0(G%;0Nd(A8rL$O-TF(3PR{)UOg0Qnaqzcsz z>=mok6Vewb4HjzXV5K|XHw!<XoujOEA2&Rc2u`W1 znao9p>{;V+EA36YqQmi*`%K$d5Wcu#9*1bF5+6Gfy5^Rf+ynI~&DP0+imAjddfzs! z#T!i=vv;bjo9gCps%e7S{wX*#4$r5@!KQa)i7C#BQ9&qnZ*!)LP3c1C@j+LMFBb~Q zPse?Ej1lbK=ilER@eD0|44kXErZ{P?y*a_wDu3)f3udx4#CYLfN{xDi7rkZYerb@= zGBe@yZGX^WxBG(>B7<+zI*InWa6DA3k|*bPxCyHMGj*h2{jBx+OB- zx&RF*YX8w{fl$@_yS32?x24eyJ&=d`QUNk-wA{00x!-h&ph1sct>=}m8!QoDRV1Q7 z`K%<)zR)nRAN8DrAzQRTCTE=}@qmep{wiB)f;`#UB+(M|pk^W?0=5!u03_gTjc0Q$ z3Q>o&*~GOjXK$_Q^>+3QcfhccZios8CC7Z=ix30Z~oS6Y7?SUst5Gg?T{ zCh6nYuW*>_tNvMT0IPO@2D<9P<@1u{vgzWA1)WRmRTXBLIU5TnG2`t%6(K|5>NyPM z10oDV9o$k^D2T5ZXzMiU_;`#x)7;7an#UO`kj1I6VnYS{lSfz*IwhHAJFuD*3{r(S z3Up>%B8!J+6cDQiB$9Vsjt8B-{8c_el!{o+l$KXD;W$s@9qBgI!b<&VS>GOR%{FYQ z)8fNIL>D)aX=;MjByY_dPv2r`Jpm$cH1K)c0e491CplGePha&G*)u?GBxGhjJfbahIWC{g;xViv8 zp20?$0&~1@D&qD>PCYhW+G5QSBc|po|xQ2_QWa2F0^EVamvmi7psY#9M zY(r~0hzEDiB^%kFoP2Rse5#$syf&^xi-Ye zise^eMf073Y8p%RtFf6?1xy_i=TJkjc%dBJn=$~fb@Md~5I zra$Bi7Q;3#FEX&3WG-!E#mDcG+~vADM{wr!g?#(S%(fbCAR?Hdke4eBrQm9x+_2q) zGSA`N70-2q2ktOig#V#|g{b9#ht2J-pd06`@l6%I_Zwav{Yzg8O_f5yq6z*CJ-kux zO|0Q>-g!$W0R*+ykM5gEcq1TdhCcbI+pX9o1~#)G=}S;)P1~qtrw@5iD>C}QHMa*X zEuklGI>>DhAM2W2nPx7Ga^wXl%r0uYrr#wyyP`~TL9)>0GZM%OP^w}$zrC^B@4oXU zIcG_S#JTa*Ros)WTCu^)yV9F1uGG{B42L){VYMB9D~6EI=Zlfodetpk4=Lz3`{T$r z;_x_OyCWa^!#)hSbr1Odck8Jo#X1OV1MRv5tG(PEn$Ojs zHa8nz-pgTU?h9_BeS&tc$$VUVJimWazEO^C;uj5XamkY?15HJ*-4i%bJJ()Jryd(Q zv*CltV8Deve5)g6IkLA^pxXRZQzS)VQAw#>bOnKEy*y9DWZh=`63R_`vML3>N#j1~Q z3eC5kbkFi+3L5Q=O}Hg8TT7MCoH))EQ~DkM-@Y6aYT%o1>Jp2vCI(S&o0B~xgt=Ad znSLl+u`GFPchnZyo6H}lRWdfUqyD^O?T#ZgF9K+Kiu9It&R=8qZ&X)k`wae+7cRF9 zkUB0-MRMm`%khyne{R>4VWlIh&v2IpLw%T=Q{}5M4Lsj$&!>QayVEQi`gv1e$CDCLi_fM!J(T(KOf;kQ2;M^{gHE<$07*oIJh*KkVwwc#q z+C*ZR0xYMrNjq*09Paeu~V7zSEMc%>Puo)@3~2m>yf$_-NJ04b>XEN3GHbaXjBEYld6Abs3>|p^iCfNyk}@QLj|7GM%I?Bk$&1!mUOW`Ig&HlO@*t(lF1s zPbOiJ^wy2M`(Ct(?Ab7T+F)R3pd+&f7}GkI!mUNlhUPIpIn5NNWU(Y-amGSJ7Yt*L zUj@>%EHHd&__cnZ2&cbJuH#+IKKJ;X~JzWhS@4P?L#L=a_OKlfuMOv%+TT;N&(@#n5 zq<^vxjziJK{YOIhNb%1fyRrwNuG?(JgJ!GGO-yZ#pB5ouECl`w;} zJuaeN{8LD$NGMM+-y}Btm1-*=c3nKgQRMiHLaq#6OimB7nWek7yTOL-WCn?;K(S#3 z{~3oWRJiR)Q`J&5iOY;(jO7G?8{!ouxH)dXwI(}?NiiWL18+#=`3a~Z6EzyBsrBOZT0 zqTWRUpN^=%d%n4^Of}=((L-@%i3<0|%E(w>I8#ED>7x=#>wqy+riOE>c5oyUsg-$M zMqi~G&{Va$$JNdL@_=T_ySd%d36}_MK^r&GK}^D{wSUaX1WAJ}{h8coW@R9;d#*?P z_n3KoKlY$Mc!{j|3$2>P_mT;tBuclogtzpU*(Dq38UZBa%Q>zrbVr z1Hej(z$jJ?(?_Kr{}pGxk?L{^&kzpdk1*4%ihsKwwnCJ106z6DFev}@!e-!JNoq9R zsOkEgh;vy$@i>!K{S)4<1HUV(6n)FV!A!1}9hQ4*n_zIb?4f;Xkpi!Vo=QCDuIOZw z5z$TkF}LyvWGp?UV54wS6V`m}^(m*7XDRqM4EIEvrJ+%XBRSk@{hwU{^MlHs{Rn~= zM|bEKCErJqlH}-Ohbl%?T6uq9!-RM$8TRz(^}bHu&?|!5KS$8P zc(!<#09@Q%fqqV~am|nVsCaF1B*JKIE;9yd0iLL(MlpA_82bcgqa`XHCuY?madYuz zYorEw%5u8LU)DcWFzX*P+zvm3lOEuFQ}HVZJ6b!^%$ys`WUILjB+y7@vUh)J?Cx750F1#k%{Yyq?@PM9yTjUNlJlt^oTlA{0_*qoEi zx(grW#IYol_YOg}H!78ehUx26*07?I&A~C~RR*+OmaOoVaHiXRfHwTRt<9SwDX?na z=d>|=+jz7%x0$KZSE{vB#VW;k0TT0>@fT3kOYCV2*_8z&M#8U+EisMY77BnaxczA4;+R;*yecrKfQaw^6VUd1CncxZyEY0rc zy^Gk{o&>;H;kpS}61e`T1z5oK2wi1=F|bV$$1^nsq>b;=T4PdpUe8sNGg6R<=^pJh zmBo4cx=}Eaxjpjiu^s%BFK#H=Z2VQO=aasFO=c&*JGt2dQoniJ-z^%xFNzSU-+*PG z<8HOt=q6>clE*#SA*C8v-QUojpnkY%3YGRVXb6H)gfBiNGaf8O-(?~_XsKg`YbF~; z!`=SQN1;W*78U0;X@EYw$Wh0u#o3k$9}3aF_l|N?M(2iID9VmQ;Wn|He}ndsxqbxO zDTj5Eik9ukcwi!n>%CmCLV{p?4KpLMl-`nA5MhnsWs;9|Ma^n$K3fE1)QMKh zfpxVF6fg#or;1^&xY$V*q7PEi)EsqL0p56KCix&r_^)kM!bNkocecOJswy8!HZFF^N!dIg^4}-BB3|r>qO9)@zY^`DRdQZFFURnhDGCseMHMHq& z@^(&pC0r}XLX0w|#*-LH`SjkCE4Gui_Dxq$2wb=u$zJjHR^w?)HIfIQ$fh?L83ObR zWkJZrHO$Bb&*%zAVN4!n8uHY_6&0Ph#20E7Omn?888K_BQ zHJ;bVm83FxRU0_BnLMJM3uI-;gfuTf21;7-_y+2F_|CW0Q}P)MpY{4~(}OLU_s5RzvQ-`r|yh|2Q0Y)q=PB9Y3RBOOC*3D=q{B> zt>=Fh%-yGQM}C7J+Ii3iBQkIOR!Y^s%?&n!ad1=8Z)3r#j(FWu>WXnb991OmS4lkI zanO6RFpT((5UuiKz(_&2Zq) z)H$Fw^^OPXSl=lg&?X?o`#U*b4quvM(>guSD5sv7Y9%%-pag0`k!ZC?QYDz}{{?5A;7^%B2%mSU4Ev3EU89!p3=$ji= zeUtu&|9hs*VfbD0DRtM%*ZC2q3MzU}ub|L*#}ChseBmTou#-M7KgDk49x>*1jb-26 z0Et|9@dUr1h$g?bS`MNgPP+4SX}5Tu^=vp}ZHXL<#df{M}N-PU~# zy@xB}Yg%1~-a;F}n(@;2&PN&#W6N!+miLmo&%i4c780mQ&b~z$$AY;pmHs z&5ik*qv6aMH8Cc7+$VoM>kKiA)0S4J-KfSPfVa#Fc}C>asLDDQoLElHoY}?$?2qCUS(eR#P77TjTR~)%c=_$= zs#7QpfPyZ!jwq`qABO+UU3PR|N5Vii+9>F}bmn%%3yjQXm6f8+K*=w=i(}5Ndhn>4 z^&|M8RP$AZRvOsF0o#{&CGVc0LM_L0e%h9uJa9Mzk6rgj1!_&2sBc zuvUBZH^s(t#0?nWnQH*74bc^@QnEy=$dFJoP}pzf6?{ND8l;)&Zxz9w z>2sTO4nJJ0XU7UNv|mVO8RRM%ynW=z3Y#GN*;Mv8Lmxe(IRyH~ z*equB`AH}8z1W*A>Ug4(G6V}vT zy2KK5-jJ;HHrwGaMy(YeP-Loy9Ud5y!fW(Ln5LVT)~ghz8-0oNVLNv6Y}*28yojWiT~WQBK)9IqYeEUj z3Tv_C$CV3v?O_*WgN$uPlYfbk$4s~UG8$(iMHN)Tzs82h;(Vmvd4fjGxJFP z^j$|wqc5y_;7s)LKij7dfY*W#KE@HPt}haXs~7*BfA{^I1Oep(>7KQ z%$Z(4i(qA`FnU_P?@%EtjIXK#RHE)hqP7EXELS@CCWhr`zsWa|jx^*hdc^vMpiNgB z%z&u5IYx{c+k+J+55e&JatZW2=+tH3UQ#sbB77OT#k+4n3;T35R`^a!WR1bt7;@rb zmXSb-cxKEgRk@ht-2toH;nA>GbNc$ZMmh`_w`+#3`$v$i!In3E5by9J&#>2#u>XU- z0>Hbr6yON8HQ2i3=-FOrXdSSHqa*laO&8#SH{^U{+4kgO>>VNX-13~kP((5?OXC)vEn zSRYan=O9U?K8=_q^DlDQGV`;Y2g1W@8(8BolbZ)9cbK#umYnYqRBo+OO?K8t+n*3{Ia)upS={ZE4Lmfj`93;i!~>-&OA3ILV29E{{0#G#KCdn762p|_^JR^TPdZ2(e|q&V zemWVf1RVRo`*>GE+SwS1u3nV)lvnjrJfvJMeT*+K154QG#N)YIkrEl}l+5H7IZ_x3 z9g^N*D)CZLUT8>59rwOMeSY*`JGpR4mrXv2eAGK3{-wpDL)PmJ#I>4Az=V}NSLq^g@(kF4}cFj#ZJOiO^z zf0x-kV@%Nl8&m%g+rgHlaVTy04hgJ3Up8xNCZ*HsuN$r7JvS;y5(R*~n zpm!wM(6)4bo*rTdjFx!&6y{w3a~(D~{JXsmLYUmqn4TOOw z1}qPDaN)M%2@S;rsCgVYW)EeU-`PEA^VTi6oBW?YYHh$kjDDvj)+FZPXxilOTU2taB>PfGh7M(g}#WC z?%+KaPvrEM&4V*6OI(bY7&DTK?%Mb)$IeEIB29QdcVrLy}@dRSh z;b_Ho{$w7V!b&z|eNQ27m)<$1`XxuYLLiuMZYr7(nFq9k$$gPHCnD`$8>8qLD$`)J zHKsj|_$k>##nli3yb4Cf=D)IsYa=F?KhEjvA=%`t=Rqb4%9e0crwzyB;=rGI2F|wS zlQ~#RW@n=#HMv5955xW#JAYwKT{nSv8h_lgj9Jg~icdT-{b@jcc?4PidIBMGuNLwU z-8B37m9cU$=gy?<_8Kxm1D> z6C5y^J@)<V=Ueqs!0yGplqF#2Yp^YPkF9yl|aVCh_Z(} z=``8Tu@+wi#?QcDG2OOxj9EwU>laRs@{F#`sd>BcriCq9mi35@zPWzmYYYN=62$f9 zDLAB!UQoZDJpoOS2(IWd)wwtVKN}~ouY0}## zLT_rZ1DiF-u%{UGUN6~yj}?MDc5E^D@=SZwl$&&^cD7(h>R^f2`5;ZlpMzWpo^PHH zjpb4O_pib24}^fv?;NK*Z}CpI!Cy|C@Mfp6%Im37U|~#iA>w_?9)%pW z(k0gY?B~nd+cPuafLjYZ3x3Cq(VqbkzHLZNOOtP~6mE-j-rg^FFYKxfnEGW>`}sco zq*L?s(>?M6!l{(fI;^!MZt%AYmQgX#>f*G!e zN}hz1NDkqoc(#kG3qWLbmR z_wa$gn1)Tb+}+F6pcvE$VHNI7?D1}jE&CdlM(3JnaZ-D_y$%dZ_f2OFKq;0m1-|)q zt6j2_ZJ-p6z>YSl+J}t~aL`@Y0Bq%SKc-G(76hw0n+f;2E}+r^1OGa^L*r)*9$eYN z517iwFlaqe5b3N-t>_zkLSafHG|5qFp+|2u7mLsKi+XIdPxEpBQHPJdW%I9@(bJdn zn4M=|{qz*Nc$WKWDBfn#FGN(vmkEkK0CQc205AB}^D&8fb6evA9BXUqmewl0x1DjW z=%(ob0;B>1meddnPKAOelJG|Ih^@TFt?_2-C%bCi&s$N8M!A;*bYOo@(PdxobVG|5 zTTe>C5Q6s)6AxQ;6KO>qKcgVcLb%r9YKAPeoBcJO&%TEwFRZ$`SnR0>iiC@;k7u;h zWw>G|I~8NswmQc(TT16YD>S+&*fd=sDf4zSgI8X!O)|K{UFv&fO6;&@g4s33%WSv= zK5qdC+xg>;tL?}0hQesn^`9C_TKw*72=~;jA%qxD^actTmKTg7?Vk+*8K&GQqN7`v zVJ|f>Z~I|UV0xn6uefk?gm%^H(@E6`O{tOCq)K7z`6e$pglU(8iUlgjw(8uyzZk#y&##aSv_1X<-?jWDv;SNpYA{u zZRA}QI15Lz-^SFB;dVnf5OJgBEbJ+l7G_=hFa+eU0;G584e>S!8eI`DMpmJzW(#IY zmnn6hU0#Iq#2-J z=O@j2@-4wgPz5R3aLFK3iQ_rjkS-$Dkdwt}=tjr_x4e)a8AtpvYle7jx|Xsr``5vu z<~aGs0C2#|qT}?XSZMLbiS8^zs?pyk-&r|?@9Nq>`=_B8|G20C#>9ICPGq&+M}NuC z32+$87zQj+j4oO+_|3limqswWt-2Y1UY;tYQOFUqjKN-AcetkLwny@=(<1S`9a0CR z!n*p2_+!gb^2Xs4OX>9qlev*^k>nNCA>c~i^eI!b8glfmmXeQ!r=*LSTv)u`W2JG^ov3L64^`g=;&;dC1L3)9}B z(nxM#@iUw0pdKi&wy8Vm4uWx0ivWzA@py|>ewN6tj4eB_MfU-fj}xeTc~4=&9WlE5wjGNl^4Qa=`7u{)fDc9}}%~!JXVU7vLv%$$L>Tzs!p3 zuTd_2zA_Vb%exu!uc64-*vt8^KdoBRc?gR>mofcLV!#(K)fIApO_xcYI zpbsXKIL*)^dly))T@(k^#NpGQHyE?ch3nos3LP!YK3xPWlGrRg#WI5}jyvkk&RYz1 zL&1@t#bFwQMxrjm_(ku319XM){STn))nm&VXfwkyr)&2x^o5Ym$`D(E$jj^9gR6-xMP0~c0z0JGbTdQ@cY2m_RJA9qjdJ^2c~ zxi-=fLvBQ#;w(JF#|x&YYfLM(E>@fpSfZNBZ-+dh)9KqOfo(wd_cKfQU*BRrkHc=; z_g$!9C(>F2Nh9YguCcVvJIw7r!H8ct?xTK<#CJpg8iLRJ#VKk3QS=rG3rzn9wwDr% z$6FG(D$Z@K_wAwqJz45zN`f&VavQO@#MkKUFoSKaniLC)8?T{4d2w%wo}RY3`%{4K zPjJfvJ_E7ybPVYdbuW8dL|UPy98YqZsNp98LD>9ru7MwEFPOPdWHu5rq+{=OCo3|i zC9VSdTX_^gf2{ter*I=(^lbeOwC1G%X%^Img~y*7;|(Z+F8MPX>&U<9ydS7R$Sai0 zg`z>h_n~KX!2I6E|15U+K77VukNwt0D`a@5pc20$F71j3xll^vRO%4525YE6y0c8@ zhahUzmo9rxDXeoBA9&Ua{EWxiiyq;_cL1y4 zmN%i8QK)z^E^70|08Bf21C0@i-e=G{+fb8--?8KM?i7u-P`$fSQ+F-$zXUje&_GIl z$S*%GPl|xC5iJHwA093NVv*m@FH#rFmazUGeU}E|P# zbpwlyvCIYs_JKNtR@wK_hj3egf6?uL9CG>3{hfz1oC8ce>-B8pgZMiJ|-ShC1J9p4YXh% zjAlp&$<;@JgAg8t#LHCi<|~%<%7%rPscp;m|+7gZ?0o z#VArYlNUG^CY%!@>J0b}nH?BAYWVm@_~n}rxH5BWtGC6CAJfr!t4U6y?uErwJ)%Jh z{^9CCV=L#hE z&&1|{PM8}}BxO*?s8%6I7LkECNKfx&*hQI65qY+D6c&pGDjxP?p8CsfV(DD)&K54w z-oQ&z4#w?n!NXV6<-lV2GkL&;?BS)P*ysHa_U89W3BnEsv|NGlxJr(cTAg!THOBB^ zoW%mYd1GdnQpx)3GRy8%=P9cVog=x!d-I7Jqm)`3uLR`>u&MvupD3Ytea7;C_j=xK;3ME}3|S1OTuZGHRz|XJ z&!)@J64z|o(aAT-m^j3nzwx2RoEoGQnqC=XqW7{r`Swn0Ra(K4ialfcZZLm<}dOjlF*$F(V& zYp^&ayzaG#(9?6^Ym1!0HAZF5?`Y8IstGma@Y)KOx~pqKf~6X81>KVPm(fz(~IwZU4lQ3q-+ zgx`-JKdPnpeM3h&iFGU>;oVa`(R&K0vx0g11IP|hUKZRKqcdnA*63~dkVx#0iZz$g zEYsE@0UFF_$hXu1*yv;_DstHO$32448|UjeJo|s%aWnYvow;J_YD_%W-#w6c@Q11g+BlD_gEI)K1w@N@RzeH*x56%PIq)9iU?eXIIi>uWK z{%Y=Yz}w~;D%mr3_>qe!i1SjsU^pt;>1PmXdKm*1+hP6V+fUbdy%~jPw^(JFcS0@< z&*WB{sYBi1DCnpHP&}ySeqI0>#HnM+e1F-WOvQ*VTKL4>DRe9zT>QB!gVDgc(Zn`1 z!XtB`z1cl}r~;Q+Nb}tux;DfF#Zf&?iPm?>Uc*MuQ0cDX=k!!*V1^M;7?TQeORmsNgs_`oTBmMv6|T& zRy0a(5S^>NVOK$2J=hc%DH8oLlt)bvL>Jh@IX#r~#xNP?*tbQ7ekTgvItLjTo*0!} zv0&&m^<88U1aPr~9>n(N1@-7~?@OOd-J8K~0X=z>!8%q5%0dkD2MSTOt^2E{LsA)Q zDtzH_dB#pF$xYAwUTOI`cmP99Qod#x+!}Vy$TT@bb5jU;vp)H#@)#r@rjo8-odqMvw^bbT{kXpH> zDdSb`e zR{1cU@}DNUs<#u7rRvu4lVm0DlMM|IdzQ+LuULP9wq zi!2rjuP+WUm%MG(r!%LnJ?zen4t?W1vre|RY7MKtF=2;&`eYCt4fxsxeC{egHtL^)kr`^RLq2R!sHTb#k-j-InjL4H*Q379 zPq-PE;i@x7k&r2X^cP)R-E7(m&Ny_Iomm$MEl@slIM-MXmNoG8dPmY7RY|^ix%8>0 zlj&TFmtFDb&m~Km)o)B~sd8FFD@400%)n^p1%yI(_3ehq;nsm+(%N|CP~b$|?q6p= zZ*2tn7$34G%f$Sk{kjeFX3{a~532-ywFPIhUW(6?DSB7=!~V3o0Ul0Vf9qbH+QDLU z{QYdxJ2m0ML-Hzh=sD?VE+B#G{L_}rW)Q8we3tX&YR%s!4;0BK&NX4o?I+cLmWo8dgoG{$o9wk*`&>w~uq_X+Z|k9#JHZ05&?L8G~)PS-;y&Mua*#7zU- z9MjrD30XGgv~QN2p&guyy%t*zzHDZxhsU&c58lE$S9h&N*9@3Zo7aYs_3`Sqzx%Xw z&!m=2i7>P`^FC;6^~&d@xHejWZH}hkn8ZgxdC-2po%L6>o_l{* zLaPN+uUsmJMOCbKc^v`&j!~0VDg6&!QqgYd<~rpTHTVdfegjQT5o)dgZatVRY@OXs z76Y?6;M&onh;|zff8%MydLB~#{EVK+ULx?pVT%!-Z9lu%*b4FJ6k8sH8SLuF~y1G z7Nc>ABPJuv42?_Vl8ADhqNA83#`P5v4Ted=X^Sf9ynn*`etz1| zdiHwO{(ScOe!kze_j>k@BMy5!*1;E}`^m3al0Y1U38%m!wr-a2dqi4V(`TDR{37Jn zE4oR+N2?>o7qq5YRtHMOOumyq!yZ-=ti#yf5yTwqWRr5`w+qg_o`Qh`vja~)3^dTU z3PH+YKcZ*ZWZngh1*sCriqeqem_U4D65q+wYvhhZIH`}L!*L_UnB`s!eg=%9mU&K= zodRSC01Z;0U21B>^vDN>&G0$H`8{j9b?4+hlFrR?*zc~KP_!DT>DGKffykUOiLaAs z5#%F4i+&PVWDv6Jab<)5L|eQy9NfYR#2z{Zr1!8-HP*37Hdso|pPeu0D_tBTPHc1u z%rZnZi+PQIe(X8yyEyRmW{wfS-?BQ9C-X z!@8GEI7(WZLFrO4vXVkbDHO9HJh30D6RupM3jkRys%2ythM1>QnFlUQOWQGws~Fn2wm1JiD;&pz3Q}cWVSKxftAt#>mx##k zKmJ&Y{`Oh*R&gU?HQR$Czj7J6YH{Vm>ri~4Xw5O7eryTBZjA_WEfZ$m`cz%j9DWD_{;K%I zDs-vAttxw=?}~9oRN^Bsq_o0^SSlS}wtiy|lWL7&Rn3U|$g6$0;xT*ZX#}RuOjQARh zwG#9i>Ye>@Wl@ub0nd(dRQ!l|a<24frM|C{==g89JqhSJbaZJ* z^DuY%(&y4gE>61a2f9wdMUk{Tt1UB_SwX9h78~Drn#`E6gh28t)C2QyLn8T)QUYe5 z6}bgQ@n(R>#vOUS%j*mIcNEOleKc@G>;k;{CwBdO?E;=TxOB=-rky4)vfC@4#q6c#P@x5)H=dR%$k9actR7dw>~63!we5+GzCVFIGc1- zhfHBozRdbfqtD+YeXQ&@_pqcaHtxj6^ zo08%%5U0nbiq4&4Es^1eG5RV;y6L+Wy9<~kV(pJ(1+l-T(5f~!ot}KF<#%ThkD1sG z%k^;LWeKE@xgyIyF6R~HWxy}?O&EmtpXJ6xcK?gKlHb_7R)y60%ao|CQTLwTuwy9G zHhYELi6D~oxZhN2&aJTp)GQ2bGMw3VX!DiNJ7M_VrrXQVMZI#n>EK!kIeS)|14JM1 zS~RqFC=Mm5knY*;f@C$Ph4AaAzY%mFGE86Y{#=E8b<5nVJc=19v%^!+Ujpd8Q^A>X z{2ct0yp7g$FmG&HOxf`dJc1Z`HjO!jdrlS?R$tNP+fRB_xyh~1#xRVS(A%p84U%d*(2O;*SK1LL|}G9SKTV_Ben-Q z(mD3dYz&9yX`E{Dw%qrE%6-o5HOtGyLN|_!d&whGk(X%bq0LR>`&m4?yKlQ@@Erfz zLAAs|jnD}R>;j`Lz2bbXo}WzXI9lqTFe_UaueeZ66Z9?}A|lvf8)-u&&m*CSKg6e} z+D;gn4l8+VmVW_%&nP=68wgkUB~ODnp{LmQ%(HcqcJE@TR}$%jU7fkt_k?+S5UY1EWUWFQ9HS`mgWuWA z0#iCe^F1It{&Fk@X0;r%eXORY1-~cqf0`2i!{EQt_eRXZ=cxX@fkmxC0Bp}WSiXc` GCH@WID(EW! literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/linear_regression.jpg b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/linear_regression.jpg new file mode 100755 index 0000000000000000000000000000000000000000..1dab877cebb9f4474508133d6dea9841c79e4921 GIT binary patch literal 23505 zcmdqJ2Ut_xwk{k5#R5jUh!7PJr3zA|#0Ch6hyqbs6jYjkNQXc~1f(lfK?%JV=`9dC z0!oKSC-fFbsDZS9x$i08{`R^1?sM*W{`2oYWIjn&R@O7ensbivj(5Bh`Y-x4=#;jG zmIjD{fdTXc_yf_$K(|1QhYtOI0uLtOdHCqz!%R$vk25nLIm&XJh2_NY6DL?tvY%o- z$#(L@iBsIC*f==3xVTurJg2!iPqTA!asIvt10(Poro+b$A3ny(dV-bnKmDLLfY^>Q zd^ohs$Z!F4h>d}fje*_*f`C8_hk@Sy?(n}n7!Cn_Ji>hR*zps<3FW6ihZq2+R z?lo|>5AZ#RiS01^dFdNRIP{+~UvT1-@%xx^RPbhTBiDmIg3wiq*Kdy<=jJ)hdq()8 z$fe7ovU2hYib~gR-B#DoyrZT4(7@0L_UN&(<+JB6tgLNpon2hr+&w(K{NDux2E7js ziHeSijf?;EIUzMIJtH$KJ14iKw5+_MvZ}hKskx=Kt^IpPXaB(9&@lGb$S7`Rc5Z%Q zacOylxVg2xv%5#yKlp7I1Bmf|ne}g${mCviz^+3~OpHv-zwKf;H8k?ylA1JtRsP~P> zjx58fEG&@@YBD4W(gL8YbP((T$ZRSO4f?w zeEQrAEB#$4O!0hz;`au{HnFngLm`*`c^bNOI-U|W!APry(!y+au5I?bg>UM(fDh*A zpabb_#;Vkixot?WvDJIua~@eu+yt}C4BYnu;o3L@{S%?@tn|bK#qS(-j^!^-V9e+) z2_g0bV#?xBM4g%X0vx~8jY0dD;$`K7xM4XaJ7h&pVizl?cx{+w?)N+0;I1%^H5Zo$ zOThT}=S3RQK__2hz{t5Y#BDmLa2I-@UA|Pl2>;WOGLXJH=RZw@#Ua?~peU1MBvynD z>I*l|GJj0ap=mkz(LtstI!HqfzB0Bn(a@V^x)(Hpzh0`eI@{j!AC=4- znz3u1N8+bd-KKW)u_~6r5mP5kNk&t;A$#3n>s2OEYl#YuryqWaZLjm9a_W~Ec*BYI zw3OX1wPOS=-=McENgO0UXe;Whhkt{>g}~9>p|vP`jt6GL@u9oV&smWkJvs2%K$j1A zXzqUfX7*S`l?c{C;pm`X-z5_|h_v-(`-ig&X*HUpBJ7NMs5f; z<@pt9r{_)EZdT@n6;4kr^3Zr3FWR+=>YdTz%l}x#QkZq#Z|TPR<(;h`Q%4Y;Xallr*l&jQzO{fzc@;q_q&L7v;gNu`GIBua z4uhZS)wkX+LaJ33nc)mj`@?l*G00X{Y%Utnlw^1Mr+!=eh%O!(KnDeyKsBxAyoEXS z;VRxK>YVo({=eSL!GxanVP7tST73G7v1ai3`f`|-CH&;ncZSLKz(;pf1d_36{p$k2 z5T5W>r-PCmgE559gHTc{giu)qKR7}HJnFHpx9FfSSk8aqJWE2{PC1I(W6?08>wZ~D zZPLJZ`hEjEyy`sVn8iYEcv4Cjz7eLAChVd}v<#`*8F>@9jO zPFt4`&MYq#*cj#9w9UAz*zt0p6n<4SCTG|`%Scq;J1bYs9eR=`LSgw)&orbLp&|hh zY4#fYR2`r+!|M~|0G+TjLp38um7D6J^|bbC8?^MyJ4Z<~@FV!eCv?!n%~xm1ucp>Q zc8q80g%JFN_*Oe9!4~7Y?pH z7lcyc%wG~{DeoIr<9jA(T4wFEiMT>&$fl;9I$~WG9*R74#l<_Gl!iNsS%A2WxhlKN zzH@M&e#QKAEwzpr7vDa0l=8r_WO=XPX+h@gQTfz*-NBb?gyX)u&=C=SqUo=&)Pie{ zY=KdET0Ys^bP%WSCCX5(yvx%qZ9`E}u9;;6Ttc+ zt|kc9*EK8BuE2m5|k9SAe zH1G=N+A1Nf&crvMCOigo9p4LZL;}9&ytL;bub(^!Fs(LWhYkW!?i1Qu@K?-9jxc}y z>kLs`$}fUOW}z}PLFNj(P@Y(eE8ljB<=XHbe#@;@o_V3q*nl6|79wlUJq&1%t!ZXw zwnD8}vQw)gLj>diU}I0fwkAoCA-j>gC!<|+eIkEuqUoTE+|gZAbHh26{!rWK|T2H65}a?JZI_}294JF z)pXu(cjbtmtBEyCt&H2Tkng*Tn;ql(e)h8<=s8v`=wUyVdARX^*yA3t-wQ7Dk;f&Y zhhExS-9HxM{Z4~-xlt*X4k9FwylMWUR&~){*iU*%X=x}M& zR%mHQmP&!XDHcZ3xOxJhOON_61UL^J#BrUUhjOuA0C2&(pXngKk8}{x0NG@R+c*H* zph&zBI*7}3gCd4Hj_fT?Lr&LA(Jn@kU}~HIV71hsgBlTViY~|n{@0x_427`UoXKc- z+hb5t`z7rCbd~1IlUX3F7#(zcu?e*;Zaqbk3I&3Ap_d-(@)_pV4JP@|8INt+9?7wt zFRQ#$IipDYnry`j{R;BJbLw9|{P&tCa|?JRt-1cvAf^%lRc(KZFbYC=RfHkF{iK6* z1(}WrRE_Grw!3nRlk4aYqsUWM~9&XGpwW$+yQ>t%M+fFM3~C?g*ax zHLA|k8ITn>c{@U364oXB9-=mG_2u}Emf&N{XRas1u5>n^^B-h0mzV{QMCv3OAy1LO z532~w!TXNNx^z(F<46(qTLa8vk%n@s-I*o{>dkDBr~1_FyvBoekAt>Va#rF!rNGB> z*T7>p?7Bp3inQ#dv>wwz9$R|vp{#0x2#a1b2gFGlXDwmR&$Zy>(Tjrx7thqEc-wx+ zcPluXWnc2ixgL2r*m~;>-a=_3a_T5e0-;UVh(uq#7&KGh)K>ka~CIG zx)qupV!iGla#d62-Pen6Hg0^1{fZsLtEqXE;&ca%9b2bPmT?EXb0X!b-;(%}6sXR4 z$@dM%h_v}UZiC&%T)aPJu+0AEn8COBbyMT-{CX9dHZ(G2CcU#r z`v&;^kmHwt!2dtgRC=0Gn+EmgkysN5RoHmVE`qQ~iIsW}-x+SFgS3ol&wwr!y(@y^ zAdaK*x)1FeNtY(2^k0ufuSv`}3LY|=b@KORP#Rm<^ff)cr^iaUNeXZ#!{8nd;bzdg zghZ0>?EL|kF%1sw8RfD7Ns$lP=f@qMgt+C__{TBzfqgW)>7aL>7>U|EwHo$4Q*;5T z7TLT%;YI%GG&)6z?O~vUu&g?Ckb0|GxTi>))EP4pxE;VZ5(w37kLYJ!Z=$ewb+-;* zJ|)h>tk{iYG&_w@y=!Qw5rs|~%^=kZ9^b(QWv&dmg={(!U{j~iV%x^6%JpyZa!5zU8# zr#vp8p)HWo%e}5zu0YgESeraD{At}=Sa^FCwQGL$YueIL{ZKUigi*JeuTl3Lt1qppc8s%`o1{c(*=0k#H+L2(QdvgiN0zcLjWLo-A{_ATW zca~UHVsr%AZhX7WxXW~4x_+Q=8dLJsz17M7T$F-9ieF>;(6%@Dl+C~|TethR+*c(> z?AI;XHD-Hrrm=x5sM4fj0*&Tlg#*7&C#-c(KAVJKEag$Je6GAU*kxMe55X1yz_>b| zdTVIE#&IhKy7_#`6Gcdgr-KF#kiz=D`Y4()e3cX?_6Y&rUGQKOeczY&8QtvZQvUa#QXncQY*X^a<~m zQTPJ~W=MdiMgjR8>4Hv0Jz?$u^L9rd&nXpN^MuN$DA1|y9l*7WbH3|v%mi$#Z&sA` z^CiuCt60eme0sw?Dtg1-SI>1X=`bC16w)qrXe-%cRfqUB;k7tL-PR%|QcwEz58uK| zKqB~_i1PP^3n0XX#b@*|+17U}zxmubd+DIg8_%_bv>Pa(?FYW2^v}i9w5+K_EAXzF zHgx?{aC1jJFzchusQsF8B)#1)B%9eIckl>(yXUXR`F!-`^TCg?bGrWB*GTpjVuE&o8 zn~`E1=lIAUJFDYJ2OZK-P9)l@#_7E$iQWsPZ9a^o9p-~lJ_eQjv_`n#43Vx?&>9$g zUq*EygaBEigGQMfFhqQ|2XaO@iXd1Mx#s@No2{H-PkbR1f!V|J| z(7DtQu`lD7QbRyu9W+UVOEk_rBl{N$T#+M6a+@_CsF?UvKc@1qm7$CdG8#K(mxxfD zpnapDStpClU5O^sYfw(P9;OwkT&+yV$(06d>EU2Mf)jEI3FOV6?5|=W{~ct4gJZ z<85dbvxn-eum{HAU_Vc;FX@GtWb^EqFGHCXQT;j#7!lVA0g36JQRh48q4?%Wg@Hm9 z#u>i=`I;>5&7{u}7NADetA0zm-q&ir=XTx_V+mwF7iru?%zA@{0%ViDLW{9(eV(;* z`3rc03^MpE;=9kFzq#ntF`6KP?L{@ot^md1;d<-^p|EEE8T^j$tU&Yp-nd==F0b2j z+J@BAhx^Yqm}$Hl5G@<(tpAuL0n#2>kwxhKpBAn zu$=I|r(BJ%-hE)kzF+-61k+dv0H*y+*q}Uc%!;j%*;p~s?ob75BirlTv7B|$y_TPCg1d;}wn|q^- zby5d$>i?mIrNrd1_%|Mj3ju9S@%Z*&z$%V)7#+ld z$sy@U0p$CP-g_0DMftjV$LW*+c zxNue&1v&#}H0SWAW?A5QD2HPl1gGr1>uz{Hcg!}as~co9ZJ1@{{LcT#+rP0e5--k$ z+(QdFPA0xWy4OJ{v1jR^5mF6w{a4nqY-T+jp{?(m_rdY})=z9T{eKaf4 z_PS;&)|Da*pPZ3|f;QEt!aaa1A+qe}Q7*zxp^FJo|JI>!Aau95Kbb z`@B&G^Fuaukg(GTsbDq!5mI5FheADX&G{Zo%-HA1KBF>O=;&61LgmdaV;`NSGm#qQ zSn;F_U~*R#!}_nBxLc8>UytS%Z|LUG*lOXjArY=`Yr<`=IhGAX&TJzu_SmPEY(u!L zCq>K2_d@d?t@K)|J&$eDPFpefVwB-=^<7R!o9$0`)vC^`+V|aW0M3TrvoOUbBj-jYa1HpsX-c+2Ft6p?BZ${Ulo?YE4yt zcj|i5M;!`$j%fp~u5UifAzu^_^ew^gGE%5KvMV3{#n>u3r0dd*2tEyK0@g9 z1eJDN7M>Lc4TeER`g(voOGsI`Pwx4qq#-$gIf$aPbExiGm0mEMi6Tfe9%psG`_Rju z&DJQZvnG^Z{`7 z)o0!)OYECBYtg)aAC<`88O2=Sb=X5OOzx$yrY0LRuVnb6U2BWW7CE_PLK!?mw!pn~ z=Kp_-dS>P-M3@scf_A#<1g32(6?Xktma~@j-0cK*#*@qRW#;_9yvPBnZkvQD%04Oj zH(LzQA7O@ie+Gglt!O;)fppMfPYa54cLhqZh$NYt^U*;lC_55&H5>3cAi;KnVr_RVagggk*EcGRrU=)SB+NyjUga|XmplHdS2(2d^D^x&aLL4(y!d?!{m z<#mO+&hLO(en>_O)SGKDQWv;-J>a|fB%2w}+stq??k#2GvB$v$kHIM~_Mya;ozX?K zK4Gs}Kt3$9F4<WyC6Nm95J6NYU!&7lPDTmTB?;FfjdAKS^2~JEmn-9x*-yyH%T ze0cN936XeS!fabD&po19m^0?kVydp`$&;T#NV_y-+9v&CIv2Uc}=jbU);gNCCBS&Z7c z*iwSnWb?v~&A=nXT|;A?wXQ7EbE4)Pe&T9tQS881O*mLYJB_TrO1p%YO2E8`P{8%H zZXBZ+4bTQ~KaKg?4JRbhDDkK0APnyu%ifYVhgqyAv_)?O(?nAoJW~F|ijWmz=_n&% zr{Q?f3?QRjPlI=Gb*n%?4u~g8O*>p5`KLoplPuJjgST%}w{_aDwzl6}jNJQ#)!cR9 zgKRvHRo&R%Q@)HGE9t*V5vC4+@hloA?zRbRY_+XJcQ+@YAzNziQ_(Y!aCtSs0sOj( z;8UlW!&TwWOg?iJ*rzdBu?iMy%{|wD6hX=-`_F{CMCXwF%1C;Y8taemuOD=deWAjv z`q8fbxrv56615w94qkN7Z(lBF@iU`;V-WP~J8!W@D0n?b1`Qm@C=q&uuGIt5D z%dh8s7e&-wL@SSOt)B{jzL!g}%kika4v>TP+Tc@T;C=U@`|9$lOnrsWjdZAS=OgG` z{8UQ1(+Rxb;8LNKIw>n-%1qNTw_PfzTJI9^u2jc--_sUrMB+rLDYCwjXfB+O53D{B@#F=t@Jf){P=L($$#5z_ zaA9Z1_E0)iJgE1_QNwjbYvKkN|7*_MIVY&yS~TX5)bgN6;!{Ph0n|b?Jb1$Z_LdH6 zw)A+=9`4*+FG^Siqg`30Y$IEwp&1U#@bdVkuO^3}+_xMSb0-d;mcc|a5XOXi)qYQB@F($+1kLQ*Cba#Dgq8DE zAuG~CGD5|b8X7F%8L{sZ_53QVU z<7JfQCE-{uTjhP*dOSas6MSj%NbgO=m=@EU7RIt!o<=0E3WUh6djSfzZP&Lq(Yf|B zQ$i%tC;7weXBJEH{EH6l&9BB0S!W~h>I8C&uQEY6l%zJST*PUE9V=jp7P=u=6=)(B zG~U8k!j~gF_OYr3w8%AI4n!JCCz}!G;~vMVaCT!-4n95I?b!Xl|~9& zhn&1MZO>yoczE~oG}-mG?nMR`CtOo~TEVF1Q(YK_xah zy;jbZlyn4`^zVH6+!7niuMv6t;Y!?HuN)+hr#l`Xxn+|a@rS437@nZ|3nNl4P>b4g z$f--<=^+4wS5oVOb225R^D!9CDH>A&l=2D4u8Lo6?=*E9V45$+(++Jw8VGkVb~^lr z)cxCiS%^GuUx*yB3w@|si8}|XoX)HhYl5Fv;g~J(ze!X}M2c-!K5haE6~1Gv2QV|) z%T9cnqT(OFH4BElRXtiHM|5Aq62{sRC&^6}MtiJ1qp}2hxLQ`%IgXtpk#^BD&|qyB zlt($>Ki_or&_N;=yN?UNZ_{myHY9<(&`)C(;N4W^e@A9uad3J-7YX2231{tKC0*#F z6W)&7plN{pdK0Zlxd`W{oM(WGvG756i`F`Fh`8zH}=|4)V8dIG}T#&YH>)P$gs>~Uq)=wu$sBKeE= z2eBda)!Cwx9^Gt`0fjaPHM2sG$J4_w_fKlhnx4)t;(u%UD?}z_!(L6#YVYeOL>F@? zqD(ZC42Rbu8zxdi<`H(Y@`QbVy@8a7Ju@^@qr=+G+y4Ht>90>gS|b^&1zgUHM$Jbo zrd+<1SJED;;`9_J8*-T`z9ysLB38GeG2x|qySn~FBFHzk(afeMK6FkelJj0k(@~FY z6ARxCHhzV@&vj$-+xkYb;Vd>=rsm__qk#o3H>&GDfi^8u{V11|FHQS+7HIF<^oK)& zU{e%KUXs0bL?+pd@2nk*?fVoqjUmI+pp$QoyK))@KK(;clZj_oe)Ma89QKu_v*Wo@ z;@yR(b9*!}(I+d+rLD^E%;*Zwro&n$9b{sEX(gP}c=pr{u6b-T8R~Vd==(;7 z32Gv4VTV)S)auTEQ{?)s@cNIU7d&Vo0vZB86Bm|ZT0~<3%c1Y3ff))3Rvvl zcHj&oE3=;6_#l_Bx7^|7k6I;>8yRx7>NfY%m(^@v+w5CgU3-;XAe*qI(rifm?8{@v zSKl}N^O_1B)Kf@CQn|ZKTc(O5n}5y8*ffW5CKl($;q_0*w zyugl6L`r7r#T&XO3Gi%mMw5rLen+3Hq#&Ky8>HqLG8e>6dAWYrpT=0NxvWVM!$gcq zopEnv6?+u!bulkJ{qaGGn8K?0j=DXyE-apCAVL#;g^ZK{D$kHLQz7KLMKGb;j<8TU z?IE?>j^{{4lv)d%B(h5pACGIDsGM0#+fD=Ww^mlj{BZs86{*O&i?P`mJ#)DQl-0@X zG%^efoqe*5x#xkQ#M$^VP!r7|O|66G=n~2-vV{OA+0}{Y?gL}SSR>w|9n zhqKN1ptx+zS6=T_`kx;>H|C{Mg8X5KEW z=+ZA6Ox?1Vd|DGpCVW5Z`viM9m)4D8+4(|EYrJ;TVRhHU$q`5!cd^3WWL}C)0$jdb zZ&238Tgx)L^XP%2gl1`nt-VpY>Qi2+CMSyj=!?OGy#l=9XmZnJ4kD_Q&Q^K++cZD$c zksGwvp%kzYL9-ctlybGWs+52XaM3#s4A-KrW6E;xNW0iH>yKj5x4%How*1V5J*2*p zHLOkLFmKTs{%CvIdq|l#kfunIDg3moxm={bqeohPf>8kl`9<> zgdknMJi=65zC|j_y*2y=HOtxeFW3iG7~lTh_Y7%FeaAU-Bg}hU*yG@Mb(Zf4^`G8!;MAnLYd>2-JAm5)3;=hPa_;ptULK>Wh z7+@E?T#60Efc~b&r|E4<0dlDCE&+egDsah3TMW`!`KIwyBuVWT-P3<235j14*oSC|1-mLD9b7nC=JjH5sf7{-N+AXeef;G&j z<>7-JEtD+jxBRh1&%fgSILU4%V1+ zYAj?@uGAd=((vV7OZ=ecLHX%cj7VoJe!)}rRoS<0?NCG=N3@NXSuNsi$fd%o`Txr3 z|M69f<6+?Htsz0;#mEyn+1FDf3r@}AhiCJxsKp((ei3^U#!^wyjOBfe^!ScE&g1(6JGYbQz_`aQvGdjpSQdb^hf89y`MhDrLkcU>d zW{on|vYuDo8pwD!szC(+SD`b&fB&~=&>7>g_1q-o)-%y7XW9c?d>&96jH=PaA&*Zp zyg4Bg^-4^c#tCmm9k3yk>7ch&NK(SOb@EBRKOcnR)PEN%Q+S#&B(b31ikF2Pn}cCg zo~}DrIJID|BI>jQ`{Z-Cz#Btn88<777v3mAN&3i>$R%~c2JJX7(ld5C*GcecV3OG$ z0t)nm`pEPt(HI_iBmLHM4+kCYpJa8}{>KEN2Ic%bdcz#gsR89HE@Mu|zeDw5*12I{ z%x2bFFXf2IIr|U!GE%M$mpGugQn?+9Sfg&Y6R)#69mKCW6AG!7&B;BPUDzL`m`|sC zuD>|vYlx456=*8{0EVNfMb}G<4*I-c*!hhMu<|CDHUXdWkfO-g*T?q+(Jqj%w^XB4 z^czc zh?kBxwCo&!NcrCk4x=jEn_)5P*=Dv0LUjZ82hy2*ZXPLe$(CHRFFzUvGa{O{Q#(E= zQoN7@>o< zpBS&X6!9!wTZfjq)+yhg7+9-x>Ozs{5?Y3QSx6^LI_d}xLCTenp`|kbLau-7e}LuB zrF};pcQuX1IoX`2DVtQ!wo{mWr}`sIqq0Wxz%e2R4N9dRJ_*kIozV11%fhQOnMJCo zAj<*qbZOf&Kbo2@^K5A3pU?s9bCY|mx{LjSY(8gg?EW*E)ZQilaoRKLF=zreJ0Oj- zfa%7#lEh2gEwIn^z!(w{#%5@zv5ws87jLyR78#?Xi!BzZxf%WqVuLBci%!_s##T&g zQHvc{xc$uvNUU0}R>nTGVdLc*ZeVS?yfRFk=~8i9XrBQK!~XGv5V5O&ZGSK?NDgvU$#=pcJR0C3ogq1Xg$VR$O?V;%47?unk;K&h-< z_0->S7>wNrs~IUSg_aXgu!k2}dmz7ZNC zKqLVL$n2vpA5>D}mG#Ix!a%r5FRXZ@NCyedSW#JMyuecNMbhr3{plBC-%|gHPh!<+ z5r7iv(~{LP@~zK=hwtV&K9!Xpz1^!-q0#u<`Smp0dS;z18Z+Zg>4fgeJVGvY?i~M1 z4fwAjMpr%Svai?xMT^J|XZL_NO+relvBJ?>HH0;9t3mscF{?Tyr7vO6h=WA)G;Rj}3W|_z;baQV)7mC0y!iQ}yAg!yPfdt>d6Q+kZs&rO`c5 z_Pn@NLjIoRlh+!`uE{6eanz~c4fIu}da1H+CD;>Has1L<4LnYxH-x^-@-7y*#4f@? zYh_=dxPq{27yWWcR(c$FVY7I?vtZ#J&lkBev^Z;s;Uc+y z$UdvGY>z3hh!%TH|2UBU{yw#aL#`}!;-lnoHa_i)5AupahmP^C9X;q}DuZ>RjzgzY zAz+H(tb}HR8uTHdbmn5b=S7rjhTTJdE1~aXq?3DqhLPeJ`uxlAlpv9nm_PFBAkS_< z2_@V;Kx^$lZs&*<6zUiOI!Mc#S3C@pZn@z;4 zVKs*4tFMJz{WY$WHQwmxX7Ie9cP`vAN}YG&OtI^)eMZZtaZmv?SB~|jZADGM_Q5NU znGl?;cYoz;rE{A0WYl&rgVEs&lU?PN4E}odZC0fp; zzWc4!wVLZp3eioB!4qgFM|95WWkogLA0=<`$bZuuXK=1BsDA! zav)Q8^KW&UM8^@bQRo9=Q0u2OQifE^Rr?vORC^g6?n;5P=TTH9X^|f%!W>SM>v!;S z^HWE*FHnv-|eDZ8ICHW-JbnMI&MYZI!iuvTVhvLb0dJa!yD2wx>T5Xf40QcDM z2(i*(aRi?|cWv6z0e8C4hq|P9we|)MilQ=}f<<+%J5!Oik7^1fS3lz&fPEp_(APR8 zir+5hOUMZq#QRQ7+EelMICV}K!{{HW)!*-L`0ysQ&B)=BAZ=30b<8&Yp5ip_r1 zufJ2t;kppCT>~36v8kfMYU5FdT(CeOuQ`+&Ri^@J6b77vVq^#u+PjnuRF9Pa$o#+G zJy@)Aw{~6Sntz_1(QRM$K-%@;iDy&oyFEM}YTuFEsaV#v;u~VfB@^g1Z?l6yyx_2P zYRLZVFBNPXsubDm_}=$I6&9h6(=pRCsybRSp(URCgX?DD&8oAP7_)4ffoio9Nr4W! zDG^Tvim`N11gsPgdt3!17|sMo+B*{|GC;x7L1)uwrx&NEs7EW{do(0X$^54}$fJiM z-P4FUV0($#pa457Uq_NGQU1v73nR#>ePCDEytf=D!z`504h0z0C3S$<#cTm}-cBek z!k3i}>J5EP2O$^fpxM~9!TZbr)@(jY;R8@QcNY!dN9dsT-&(tWtasUkm}g*rql(gd zh{N{h!cWA6m;|~tbaNh4QX9g%+-F{Zy+KY#OAy6ow?^WQ&x; zr!ceKk{kKnnVVY~$LB6|ErH5OV1AWNo7x=a%$1re~*^Iwv9qi^>kphCv^34`(XRTQ+&%Cxgzf4^Y1u@FwPICsC00rA$g zsGeoD9S3jvHP>Gx=?XbM4hTHVq+r*420Mfvv@Gy_%D65BmsMj4$!E-YT2t@eznv!m z)~ozB@DjgG=5t|dwzFez<+Qyfn)?Q{%Vk?0yg_YYki?aGnn= z|p$`qc6A!mRLsd9AheSEXR8P1Z{wB_Lh-JPL4 zv%7HzQD%B7ftSsN4IebZeu%qa7|%iO0%D|q9UVycqzrbkd?elWj7Gejz0<2<$03(6_(e8YRIj!naq5C0`+OF)g(-XRRf&pL)hS*sl( zioBDOL_d@r{knjT62I2kD3O?_+v0!X^$k<-Cs-{k)VF7}%s4(wO}rJ-dfE4Uq9eO5 zhfUNYV9O(p1z3RRgVmmxTE1$Z*h>c6{3Gr*v*X9hlXu!3%2qVUSzpnv+sR;M67%!) zWguO9`Ls`#71n&sBf+A^p)9}hlFpZ?)6s7|1={MktDtXTp-94R=QEUu%+<-gsUn#NYrwAMIm5WR7wE+q^`c$95Ltd#kC5rF7njIN zQzsy4fpD^&*)J_)2i0!V+m3v@5Wt(KzxpFT^f#c)kbs7aqBxTD>bN5_X@^XLW{Jm+ z0qNgLS4~^kdZVF+j&uX#Z~;ZI_yuA6V6M|>*0jp5uQuDC;R$39Z&;siC)z)sAu^@6 zI%lJ;GN7~IE~~HZ5tRLBYySAzv;MDvRFMj?J=8_-D8=?$6;{q$;=(ZmRNSe{=UP+# zl+CR-kHWq%!Z0{Dgc{&5rvNujk^y*)kmQrYAv1q_7$9%0nl}#kDS#*Uzl0>^g7DUb zVt+me{b#!z<6osR1k7oQHX%MligMmEjg+W0BxTZKBq_1BVHtNb_1?W9p=nsn-%>Q@ zW&}qaqB#l>8b*<#n`qnwYHWA4c!DlA$Z||A%|32Sb-ClmoTW%aR>;no|ICuS&s_WG zMB+dC{1C3p$0)+jdM!~z`kRsOAZOQmU)XiNlc6_;h)pT~p zTtxj27W);!Ske!G(!h!q)rOgzKjZ9*MyR}%f8dV}K%|p!tpA>}UV$cUB zMRr|4K=RGUHPqs4pzB3yU-6I*uivuj9_6=x1|KC9eH=-}5J$#~&c%eRTzIQa?yEF( zTF++$zY=>8;^ZJ9SCydqI7t`x^?{G3p7n;I<&gNCoyk%>>BYU%kuPvTrN@V}>o3?y z;U)|`N`_^I!%zFe!nJ13?@5Bz9||dunW-Q3BGeP)T%Ig7zb^Um7JQS{yDut-OL0f# zvwGuZ@u0rC^xrJXzYw~Hx+VsdeJ*36tC^RX#HuU8qJM#uqh5j5?_|}#XPG)>(lH~} z1z|CX1LsI9ybSu3j}@@v7<0S*6paIkIA7?SbRu!mgJ)~%+>mLN|rzNfMOktt^bb;_s{QT z?pVejo`pg2ARE*(f0{=-9fSbb7EsXI2V~D_I%vaBa|GailB9t;)S=AOH|NPhkgYZ- zd0Kz>4s(s%qQLvJ5Gp~`_R=9p$qhP4#S-vDhavyVB621MbLwYh@WtS=4sqjgk5_@n?NcqN zE0WSxmg{6}88#ll*H3|Ek)mgW>V*iH05tTubD_?~Xjj~?-Ja~R=M_C(ubq`ncg*I@ zyiwKo^F;fPK7XuVUUcO5xoiVg5l{!cLNOI_18N_9OvlVFvH$aPMq_VhhWJIOWdA++ zZHgE=H^Ka)Wy(lF=GW(rS))0^Ps)QWuWNOjH()SY&EqlxcJbxQ+t;H~b=I}qH095H z$?gkKa)>fR8cj`(Z2^L?>U$slDiW5I13N93>bWY(8s&MvmaojJJ;yiQ1`jy#7G1(Z z?WTf;c{F_#Jha0cYNka`qF&Ne}K(M z+9wgaK9Mw{4#@l@^um(lW}5(LokGBuzLG-dyBG#~?+e=blN5mZ8Yik%ir0A-5`yJE zrNH_W=W)1Zwu+sSuSxE->!YoYyONug@GWveWq{Gra| zICs$L4szJlFuckWtS7E#L=0Eq4;^)I@kHN1+%sM^uCfbsUg>IrkQeIIuuY?K5z&(I z_UXUIY)W!8O9Lm^FFv?(xQX`rSg8)e{5V4l#NjK>1|ib!#(}}{73w?*9TWtg>DT#k8%CZ%d@s|ZqVMMx;#NS z)D!0N8rTlyw|+FAmSlV%(!QfvXH&z~ z?5v}z-d|<2tJQ1(mu3EV^3VR@|MoK%4qEE=5mzA9HpMH{i(sA6J8Ev`k!e$|{L@qD zk!$E%69uEh;3M2~Z>u0zirk90si<=6a;ejZ$05*=2b5d#lR^m>2ZW04oN!G5@!5Ne z9nnzLhKsD-xGpg82k8O8)BH_zJSM zbzMarSsDefv`cLryv0k7-0o;^$?JK1(nQzd$Mr=ExgX9-Aly@ta!<`>ACVTwp>3et zXL~HQ%TX=T({37hLcYLJbhO6Ic0fhp?5Y0iY4^*FL^XVWbmoI^3Tz?W6KRQW_v@RZ z=Cvn~tjG>6>O@b;r6L{@8*-Lc?L6WUATr7ySyga56B}Yu|0$}``eS*R9=X<2IHoa5 z>)95chy*H;arDw!%U{OLP{PD`pp5UKYtGc@@^II%U3HuggmCd3EQS=lTSl@=*4?%9 zd7b$y z8CiCl+8W(;34qG~?zjJLHOV<`+$XB}el1aM9|yQG&99#hjwl<@SZw)uc5jf7mM&7R z@5`mQSNM%rP3ksS8V=-6krmWM*R)B=D8n-;KHNO}?rRLap9zg$O_+IW- z&b+VT-mQ4zOQH|st~$vzeVkgP{|!x4-JdTkudV$2=^&QRfOZa>XYI?^kGN_pQ5G)Q zqg@FEUL&LB<23EVHu~lcV$yAvm`U4C--5BZ3Qb==hIfs0P;Gyh4?AY676=dMS@iGN zDCR#*J1ykSVJmRD+Kip1F(pwdxvK2{C5jkX)lOdaUpZ6TDW>fztUDe26!>|C7H(NBmw%TeIlW4JNO*Vtqp4FTy_# zUc1sP#sUbr3T4PR0YBLuwJ()wkSgamp9_w{j}AT&EJel(yrf%i!p~IhP~8>hgQ7@g zow5cGNGDp|gs7n{+}C1!;vbYqcL1uGmPRD8Gk+8wUQqv7Rzh+ua<+WvG$Tpn7UZjo zXv}DqTnR9j>o)q=qlZrc22O6f92&&BsblF&yNtEtD>B;1!*?*d zwuoN1jn9&4$r^124;z#d(-j>mbaZ%HRtc{YUuV;tv9;Dnv{=Yp2`-I@{N0?*+z~^keFrhMl zqWs*ophNPbD{iSmFUNSkqQ~R4`@P@Xrrp5O|DN0X3j%t(c`&A1=^a}8zQBGUF3##` z-j0Z$IeeyQG#ZBr;7yHh>9vKOn>Jb2#@=o3l{r*>@U3uMp85YN=1PN_%F<{Qm!@5U z$R=Q-qZmNwXv-pYASy16ifjWYs|Ykgq!Ez-67q&MG+PvUh@ud10RbW4!V)9_Ws68h zfxxhsm>_~cBw-C?VJ_uV*Gx}U_srB(`RCTF`|7=Sf86hV=YHoqM?IbLjrPxlvMlI& zYjTTEMe40h4u_(iF!yoB(M{YfT^Rp--UWKc9q&L&<&C0PmJZ3@dga#@+f-g20$N9v z4UyF{6I8m)XG)^OKUNvGS>9po75<2XsKM-6v_y*HW#Qu110xwG)YW|~)>DzZAjjU) zobiwX3cc0;s=^PfhaM16L`3 z9C6#2LEh}CX%*Xj5flPTci76WVYZrfdP$1xdojTfr?4k{tv|cMaie9b_N?7{0#?M1 z8&b|6)y8MV#?587W$;{-P-2sX%LHt*K@ZX9FgE%Fv|y-dhI8kq8KA%GkhlMpXf%bE zcw<#${!A_yg?ewxq)wOso$P|x{FG=*O%kr#KR4}; zGg#aURA`jBCQzZQ0*z0MbY7BY5mxx;sy$ zqg2vvKh~?wkuvPw;NM59;y48JcT{+!6>_)r8x#5Vz43G3`6W|}!NSYvyW`b!d@D;S zo7^0MP?>d+F;usKa!!;nW1!EN>z!Oy!%ne}{4;X@64%4Clc1+x#JIOetQ3?XPcjc~ zDWjq9q#Rx4r~0rVEd>}JBz_c)C`inWptZXbsW5y*z^=bcaFir?sCfua9q7WctX(EoDI!q4zPZi!7pvEm<( zs<(}+v?7~%E7gwL4F-8%@l~8{K8VQu6%2hFn8`KEbUicVkR7ofb~Vc@M8NL1=2yp? zgL+M>k$-OFo->tn!r~^ai^%fbGJ9q`7U(L{WH!%5y zPnjBoypoS$E{6k!|E+HRzlS61Na}Gzrw85z?4y8!wF57ME`CA>77`Sx>GH*mS!uWK8MywkUp=U?JNA)NwXQMb}}E@-i~Z~GciTLwmOD;&pXC} z1>JuI3adxZfjPYrgXfuw=`iTZMds8GQ4ul|QVPLy3V1wu)s-BR=_x8)T6km1Z9YJo zt_D3f5Kp%1j&Y4%%hm;;++#Gl2T!jp2pEmwj4$VYw{+w@#%TMqPQua z3>qyRI!RL=6G~5ze~NFQH;PP%+uSue8LZF|%gO7*ORyi;**?qPxl35v!0VxVq6EEZ zm>97yKkr^|)nZ6ui0pXT$I3vwv5}L_*0N`#g`*3Jy9UJ+*q@Tykde3JtY)0XK*&S6 za?GbVuW<_CdIqraDlWr?+0ALiK~t`nwZIS26fM_O$D6*VYCWN<AG4OGdlG(sXl1%Od8VFgL&5 zl5J|#WcYw}{t}F4B@PfOi^dzHd!58T^QCqvs#RcimJl_> zRE=z2yoIlkTGIGh#^i>S8MLx&y$BwMHzV_H&A5KjYSkAbudFg{YME|x@(eqYLNAaL zQ-ATwTml=U!wl+z#Ryf@UCl6DASj83nuz)vo^w5p7#rIa zOmF0q%lom9fdm4r8z9sslZc4E>ea@+QvcV8_n!{OyfBUyszE{g(Ipt&XFJlu3$U}S zdYS=kW)X)v z->&?vptQW@w=;hrG5wda(*LI!@>d@Ge|)!6O0SiQB%(=sm|J-%+#M&ah>Pf&O|3hc zbzbP`V&Hrk))ERZ9RHXkL;+!JK`N(gZ|Ws8LW55D*Yh5F%Y_qy(f! zx`2q(P^5(3Nhl$ZkevDNviADdT6^Dh@43%&&OY}}G6Iau%sIxGV|?HHzTY=!qqG^& z8GUU%Z4ezD9q1nL1ENiUZi48K9sA=291OsV@dP6y0|VnpCZ^*jSWmLDvYcdLId%H% znNz3PPP4F_;XK23j-7*pgB8qmo|FCjS#}QgKQ2N?4}6D#k(rT^nf(;YDfa){2kje( z?F3yWeKtKEKj;`69X%TztqlYLf#?{4*8b7pe>>=o0c||abb|RL3vdGZ4CojgJ^e8T z`afC?oE-vu4q{+qJbPJ2l_2UJvJ$M$ze3FyvJU5S! zu*elrF*$h!#p_DSH*aZa>*(s~-!Zqaw7P3; zq7#$eC8wmm|B#lQlbe@c@VT(4qOuBIUGufJuBElDy`%GcSNFi+(C`R$bZi_qJ2$_u zxU{^oO4#1n-6QUk4i5k57afTHU%T~}p8ZX~*noZ=V_=|XVEUt9bjSRGLeIv)cv41kv&jx~mj_zbfUjhC9<^MBdK;KhJ6@d5H4Eet650=g`b}U#ucUJ;iH}s|J za_kq|2NTypG*E+UA4Ldu7P@=~KTTynM+0s1T9F)Splkj|Z&GQXL)m&8&^!hwMoOT8 zG?5WB5dIUA270?p1HCMs)j2vDdVvON2}4kCmQ_dpqZ3!B!zsR~)lAuXJQ0&M>XOuc zuZGZ5uqy3Smamy^wCvd2oitS^HeZE2kn%?mrL<_EJmVXD30mwXbpHnzrc{ay4fLU& z+F?Kg9dX;2dcjx`iykykc_IyXD%w_VH!kKP&-#3C64jUyV4Nnljo(}|xUNNpCRUz^ zPMNF^U1Yl86?aq|8A(hW+ylprJGF*DHHID=Bm^d|)m#}NPPtbs>f%^y)7>6fzp%LT zhI8qn(Ehr>jQCb;&#V*vCJMsmAIoFCiA6wv5RRlJdTvjv+eD>h?x`*&8$-|W!PO@ zSn2U>gdMJ++%hqCDM>Vt(9bPu`*+N4;aVx`94QJ1<|M_;DNn(r+onf(hT|jW5*~at zB-R)ZKU}*Q&IBU-1RG_np;)vt`HKq7vcp2`H$qb@JeS;0+ZkH-=da$$U&Ly;9gGuU zQU$+ut-_oURi)D}(N}z=V;msq&4)?639i2iQ;llXvpW2o1|^uDp*I6Vv)qcUTLT_> zpIXT6sZ-jR2VX!HeVK{R^L*1&e*Ji3RS32!r93pz2D-X<{dOpX2U(F)?6aG=XKa2q zJ6gO~?f+D>N#8>~PXqm!q=6iTXdvpFvXO?$RtMQ?yhqk-v81s9;aIP5eSp^mTW70O zwg!&_ORG3xvlF}WwKNb*5U^A~c}8LIABLc$c97q$72Ds{Lhvg;;EoWise7XvOX9(A+$07Nm|ESs(4H^V1wt-e z3rHlnnfs-+c=w$&(&ziVLmh}dJQlroH6TUg*hd$Ad{BFF`(gXa&ZLi1MobT$)RAXu zW8fkw*vNxjsPTb&zCyUH8Q9xE!NI!yOL(T&@!h2Xy>Dos4IRZBYF*>X9`YObUfwoQ z38RX3{s$x}*_5xEGCL?s}LgfQvGVLOM>t-%T@6yzqWb zjU-c4`i7vwK0dQvm}LApLQ{Jnq?=rhG8kK^O~oU>6pkC#c@Efi4p_mabdVb|B=9WC z-MCKAFtF1lu%nM$a>yA?K+;nO(>TkE!C+GL&$(}*Vs_##hnOz*mw47^Z|N9ze_orA zU;ng}@Erx=e$h4~(iIgR6XfSs=ce5-=)Cvz>koB>i@PE}QjV}mwgvO;z?6Tve)3B8 z^Z(O}66PXB2|wMIab<-nFyOv-U1@YcO7L~&^4#K`UHLgD9I6fTqBa#rEDL^wdwrnJ zJu4GxiLxXK*^((5+feIc|0wu_KMmx2eg--iK}1=VDb6akK$t0( zgVf$xHDU2u4!?Fkq);1lQ&)*zt&VR7`%XGCRD!~EP{mSB%D|nVffl(!Cw#?y=3Y;e z@XDt{-dZ7spK`~2RU(TayA(Gu_`cl?OxsUr$=p-r2e^&P6ub?JaC0vfSZ(py&L{Iy!7j+*0v}6F-Po zNom*XTuYe?b?Sf_Qfu_~zb~lF`s{Z2IElYA|ZD6H``Q1qu$MgP<}V%YXTp^X*|&k~oNzRN8-90S*6 zc0qh@mjC7QQl)`rJ-=a2P^{jlmlqr;XVcBEj_7pPzm9u(9ipIeoB^!AWAT+#kLQYc zJSlRpU-Ta~u&&-}V)7azD;{3BF| z+NXYwlL>I9E0Z7g}TpN40sv z6U*mD?qXsniATjKGL-qfTgp%s4Yc%o+?YC zW}uwK8^5NoPMw9({cbICRUULzNafr=e!=BIG|QuC%Xi(2UW;6}v?eZDrivN&VsmW4 zN(04A+~Ur|X;WJc<0>9R+sqBIs^WfPRc>x(uS!8q#bEuwk#c4U2CWz-5iIg)^{{l| zN2P0;vRf=uq+G1QUE3gSrv2>zh0KShXU~iGUbL-NXX^guyauc4Yz<+2^6)ExAyuKq z?~E(PW3Xzic*53AsdE1J?><&z-V!5@*NJ{wmoF}zYzsch4;CR+I?lk3!=aYHC>H)% zV{rYJj#JXDe8N=&lJ01eN*$F|E7RMl?q?%kzIZZt`Q&`tIy=wE^zl%BxF-(tytK-g z0bblXeO3;`v=VqbR0NNTe&SedTkpK^#&$I&sb{{=;|;kr*Gjrt=Oo)Z58iiqWBNV4 zLDR`O3#g2gZGB?AXD0w26bDwyy00y6py+6P#2(qzTf;t0}*8=5X-f0gUkO6YNh{9 zy%gFT%0uwWJF3kw@S5r4xIE2Qo{hYcvX?+d*GLEpN}Ere?QDaENmWmut-3kuc{*#n zN$gjWM9iA1o#Ssx(?o2@Im1WR9Leuwzcic4p4dfw%K2zGXfE^1qOkN`(-j&hA_!&Z zI1l%&_$*pCs-%1;Xaa|rjqAheEZ&D->uiFMUgehM;U;aSEvl~n{#Db<4Q*KseW?C} zuJn)qrAWJhX)95*MY^0j38_&WDX#JPqA^blQSK z7=fsNp@C|usDxcfj$|B$eT7eE;K9(Yq5g#Vm!!=;w@bc#PrZJ{&1{QXHa&ZqtaRPb zy6nyV+?Ao|cf5nZME>;Yzl#$@DKyeRi7V1aFg$tL|jWCljJ`UScwf>q=uUntMZfwImC;iB$A9 zWb9oK4Fn6=0X(C+0DR8iD7%TrnUh|Bu!(0)c=fz`cbDAZ+qll3XCbL#aa^YC5%7kB9Xd1Jlh3YNW!A3P+gsfd zsjGRkzeWRrb|CRQd)Nq{Y35Z+8?B$UUY@fo{+tTIJyQJdaoVSitHspL5gYNR7Dg*Z zCd}{=IsK)+JtD8esoR^Nplb1;St#YDDi|O>yfxIAl==MXgpiNI>E;l(aUXp)T=MO=}?dwl@seteDB&Nz3|SXX?GA7pT+lLwv?;g z664(O>&9!t>hz=HtKN;n4H1rF2T2t5I|eLofU0&$@o(ZB(h>K~nyiv27&BUcJm*NJ zfli|4M8cHtsJ5@cTCNQ-5O!Nm$GEAdzuTzd_6XCSa>(Xrnbml%9b(&gN4lv~1S_)( zox1wFr%_3SWRQG>RXdEvOOqU6XDM6>bFf!dsS0a7t9<9*+Y758r6q3AKmo6O__&UW z)p_7)rXJ&@e(7uIQuO<@;kSpJo&ZJXD_MPL{gQuG6Im4xmzM`-M~!Djtmx8p?w&;N z`BawzCK@Qoh6WPPtk<#}+!Hsn8J2qDk=0O*sF!aDyXBe1bi4!`HW*W>mOGUE%T$X! zg56XL^p|4AOn}UOgq=dipVkPu_h?YwJLtl6RP|BjT}i<@3-PLX)u)C(abe-%NpZ$A zeH(y1p2~g7B+va&t>+NS=k(dB2sk$CRd1vT30F z7t3WdP^lSZoSLMT8NC!tPhe?9vNv1zqtx_TqN22+KP|XW;yK*=g=7S)Mtn(rvIx ze&_M3rb{GPY441hZ*7qCv%`>|r~Ml2o~u89aWr0>N9|ARY$cQAJY$-8lUgfP0-ln> zns1MXH1B=yy7N2E>$hakp82p`x}>*pW~*sc7`5AXOtSIE1Kr<&90JFi;A|MM-Y!v=F%@Hh9MbLTeI1*7_;=Ty6igt*~72Gpz!o9YQ7uhBOPewY5f3Ud%> zU%YbZEQ6z}%+^%n@qgtGOB7Q)xm8`^b$;U~m+_kOVBaTkYt%Ki1QO5kl~R}CLT!DY z`B|(*&b2}#4#zGt(XzffEokr zj(O*jif<7X5`Ah$N@LN@d@tT@hm5UFJEMG^M#rS=3@lQQRHFgY@eSF~WTxtrh~q!_ zvY$%>ef@1kJ=Qqg$j3+nosyXapP*zyN%v9Cx(#a7_ngGhpp^5V5bokCeEbGCey*dQ z%ZOnA#v5~N>L9k{!|t&gwb0wxTr9`zbl4OlVPvP2WNX-vOxXC~xBvG-iBz6{fUM$r5xN`7M~ZpaICK=Z{(=Sy{si40 zhK#`hySMrND@JrGo#F|me1ukcu_LCw3^+Wk!s1+j8(~Zxn7KBb9^no+!F+(K8G7>l zNA3djwTaNPAePXRZUYTMgqUV^ z92m=F?5ywo9Xn28yLYQ)9({U<8L2+J3eT172Jd0jojFv?d8z`Oo#czQmeUKxo@$xC zc_Mk3ZbJ3mS((LeJDPXTnCt7VgeS}(#;}_B-p)3`5zfALWvdwU@mhCjlfgMRxa5Z^ z&q~?y`&V`rzb1LnA9*NHYSqzNECzYly_y5*mGbHZx7`U~W-0_2ulIkNB6;FU7m|q? z>Z#Hc!L;4}iQhMV)g&IG2iux;A>sn!qRSR9F0wh4YOzmzt*e==*{^@aZmN4M`pTz& zDV4!mxJL2zI`i?z=mJ~Ul(R?VpwF#^`_0Qb50p6awCtS3p4|zrwAXv*c>Qaa{k5ff z)bmgY(j8ynJivGvGJf!sH9om!^r$jvNV{zTJQNnxB<|Eq163`iDwJgM5f(pq&4ACn zkxnY~a+6tkzqk^<)tSRXtZN}ezSsprRwVODk$Tm`B@@|p!uk;N`#YES%}#~z^tw1& z3A-3)&_JqBiliNYXz8l^S zF4FGorS`o|9VFk0+ZeSFJ+Uj_Z|Tb?J zB;RVNj-9{swtha!{4CvSkd^-pMt0M`E37GknF?{YtOf2zSaLH2vN^cTZjDvqYGM`9 z`>&pS`sxwdUl8tku%~VfLVlKCsj_l_aKCQuL7p;gK2X32q%?6xh^Z#86iUk>7vWr# zYyMFb$PS5VHl;SV?PET&c%!lA5cHHC@l7v>dJY`V$2ez=4~?Ho7hLnsvU@KgFqCuJ zxFRoTgJT`xVNsed`%dhjTOpOo$Y&k0k!eL#6N7Cgix>d1FNw7_XI~KhIGqfGt6xBu z6D%`INdhLz_eY*wlnRLs^V&4GDuz3CW?m$GE%!;<0UaLb7?;sxJI`R%0X4`{a9wg|-P|TF(37 zC^Gt5HYKePQoG$1vaaN9r#|q?VhIjy^cL9{7`=iz2Dmm+f=;s?>Dp{w`%xXf4iSBc ztU32(=jjh7auLA#UeywUnpNSIxahT%o_#>)_gZ|aavLc5fAk)#OF!4lgUN-{94yvvPeH}4bm6X z-Tu9eYi$Z)Yx+a(@+yu4Zb~EOP`r?!)raVw^7mZSL4A`wL+PY3O1#dgxRyESbK`)z5-%Qe| zDT(%%+H787HaG9@PFz~TEAb8QLdUP$wNCyh97pVIGm9c7`Uhn9_8%?wfmg48JY5^S z1({EGM@&=3n>+ARIaKfqoV<})6rK@Cy1KSqKQA=YClXKk#i{N1cl0h4#m@& zNFQ*#vc^(tZR59P5q%1c@%{@RhoK}pKGr_U8_Qb=xXi@C97jct=?2$6H(6J5KCUBr zQG$8}4mEkJ<2f74uLstpPMr7r{t>I=>BTYhKvzgFM~zQ`6+9~@#H=%GDXM4iSWk=H zoc%A9<9{Kn{5vSwFuqSU$i)yPJAu%)nF*7<7RNVu%v|4#U=jaW1ACYq`BYz|<=Ec& z+^UaN4`yc1J{Q@l;e-0uGlfU1hX2@F&c7+!cTztqtS*9XsQBKS?Gp?T$6od4*D^r4i^?%@vjZ)-qTvZMc#QlY9f+biA@X+RyWBVQUq72?tjR zX|Q}P1XUl`y-L%`6^SP}&`p2EW6S!W=NpsmAA#M9heBoZtQ>(kKKn%al;ZY(Z(1#Fu zLqF^kB*eD4F5aTHUpiA2lH>7>XlGT^?~uuLtz)LDb>yAZ!`*{YWG`Q+h;)miJW5Y* zzZxS_r^-U*pn*EU^uben1Y*Vj-63Ltf-Lw_}h93zldiRYsDfd=Qf|=OUAW0bD6uPtJ`O z!y`8|@Pq9?%A03{+|}nlUI;O{V97Knbu4LDxKVR_^}>Wt=G5J#2#t4%3alk+8oX}l z1gDni6Yv#Va!_laM}YvM$E6h83(-4%KJ<7)(-Kj;UoI%J4zCkMxjEyO`0Si=-Jf})vwgFfA13z@n{y7={@8mpnAF&oE~gG@eOObp_f ztbB|UDF=4~vv~P&y|0STQmT>v%roQO&6fHMt~uhXxl?Dy$t~5Xp^g!LO_u47KYlmue+!+&h*b^AHtm6!+etgtq21l@mDlJ>X2ngN z=s0`jo!IAH&{Og0HuIdAuw++Ji>5MV;fC2N%*Oz$!nyk^7A?IU$(Ad-X2U2wPft<% zgY1mn{TSc5^hpQF)4yq;p0fD!F6yzW&zGpjV)lw4_!rBS--R&M?vK6tGKz2SyCY2( z&oa$0`mkF`g!F|Q-z+6hbLIu9DGwSOrc{5Kklw%l=F$-(kdtsj!`IP0gs&$ZUUrUL z@#+5I$Tc|lruCbV6aj-;)uWu-epN~8^*Q3mj=Ga#@6yJiyFR20!izO7t&A@Z--B$g zly*Sy)^CqP@R#;#@+o&K;~rKMct2)dsC7g?`syW=`*N4%ItZNeN`2VjgM_Hp1sySo zgfFcEtYK;=N}TjFjH5!vd9-tJm1=Cf54C*mb+=xAH_x_agu48ta#)pf$|)ireDCy% zoJxWE&C|1-Ys|z2=oqgX29J!Dqk+!b)Z21PZe3RKcp|0UwK373I@lkfv2GZEe!5+- zC26%+J84vr8L#cxuf@^r@xRil|6f~km_)EU>E;~jHRSv!0`UVbMg&NWx?FlX>b}2Z zE#eGPu7QjUzC_eS)Q_L z6RQ0(g6=!h1O1@z!tva(OW@it)o-c~PQ12c-TcklxuQRhhP+f~7?CGpr70Y^iAncd z>$p6xJPo0)1TQqDCB24~_2T?JD_cXC(=Y`ZNV;FTuTa_=)+N2RIKA*|M>-C_R>R}@ zak!!Wd5=t;lug}Ec7Sdkn=eBB>vO_9Mt&J@u=9I=DnHb~!RLX(Fn z0APO`36SG;$7&j={~5LbTl(q;Cl9hR`Gg@NK;>wqfRy=Ij^#|1L-Db*4{Ek-SiWlno`YpgaIn)dE8iQ2(pl0e-JUPAro91vPRHgFJs?pRQ z0qZHC+&&A#eZ*3ee?B`hfPitcfI`B~PXp~{-szM>jc?(Mil3{RR3}1a>Z&qT5#OTS zkKD=!nt+vH`>leI5~)(73otQ$D;lWDfd0^Os(9vz$-a-65>?=Oq3)gW$Q=UNJ=+ywwg&=zSlbzlM1B+Q&&Oh+og zwa@&GPrSu|fZfquCeM-h>d^i`2)KYG-R7*)D)^KEWTP_f74Zd1hmxrRBlOV)A;u)Ml?piF?pKMSk18xM{0ATiE!T#(>A!!H%g51n`Tp z(V6O;2Yp});Hgh1HHKP5QXK8mN|V#*X|I%e0F3}8ZKA|AKpHFqRK79wgtn9c5`DfeK+V! zdbO=2!oqXzSNY`|=3T;R%?t2?C+e4*o00_zsEnsQJFf7F%d{3_Kjo+1HGol$Thc%S zA2!ux2tMlP%41(@@0->k#C~=t&@CZQ_|F$B`9Ksp+!MJE3qwfj5fR%BSBtU5EBxX< zG*G5VA-Q-puza3uhR;kd?z?D%jTVX9YO6WJf4g65v~-A${2BYDPjc1x6G#8Znd~q7 z(f%O-R_NJLeq=FHl~%Dqy|2Y?k@&Z6kRzeg`I&>A#^;rN5yO!UIX4tC7tzc48PCV@(Ad;=He(n66JM}TzSN}HRvZsqPe9Jb)y&gCy>88ZwES>SrvseTd@*`gni-xs-99d;{PF}|Nmywkj|Q^#6vGp0zCzzO zU*y>)u$!xq+z)t%Tz7&hevbjUW3N|%c<6s5w?u4jORE12Dx7$DMtk7QMguKZ7bY#lJn-mVpk7&NGhBgMgoDU3Nt*W+Gh?pq?AaiU# zpfEYMPSvGSPnKawlipQ#i0B|xJ@v%VKXtb0hU-4epK^vctcpQ>=ts1S;`hsdQ3xwW zQ5ALm+_InjI_TobkZJtQ3G;1glM{gD|N7RDKeY?1qQy7zFYN}q-|0C#$l&_Z#eDvJ zC%X;yAe%<)Bn`yy&-L=p?Or}KDt0e(Ng03jF4H})o0v4+O!`fK5=#0etu?h-)M@ z2!J3VCp!Rji3`6(eF-~F1I?5{sKW6iQ^aY+vKD@edJ-^mv(EHR8$dQ`A23z6vUJ7) zN0$lAgK5oj3{H!p1f*PWwPHx(kwErS4wW6&iacZsRso*rR|F{y)Io|;edemp#KK<= zV7a)7SN9MLAJMB8-&bHKg27pCL+wNNhm;&dS+k-uao|Z42cEKA(v-r9N-Fk^^2gy(O+xvLE{|Lpq z>Z`}1zAqNP%7T%qh8oQfA7+&!*WK~e+s3jJ+I0g9tAdr7_h&-17w?H7DYCBz4)FVJ zmE1Dh!ab<48FCSIXE23;^f=@M;;ga}xzuY175D z26zfeO^1oakHoK+0NH`zZ}N`&z^bq<8;%es zLVgAxVrjV%Lw#dW;yNFY#}R-l@Sv2U8pSW%`6;_v_Nz_vs5TMdJ+!+j&Z19Pitzo7 zcub1X8&dQkOYWL2Q4bt#(Q`uu%El?VHlcxhxni2x4Lok&#d}mWK0~{bC$C{+PO4*3&s9kkm58(b!aDkx1GI8&Fu@`Q9u5G5oK=|yBN<6` zk|w-$Mn!~iSC(-ly$M!otDtu0uRhi$VR51m`5* z+ZXuOsVPJ+sB^Djd6r)FOCx^_%N;nh5NIHbAe;`cV9ut%o9{68)%Ch(ULjx`Su=fI z!0d*F{d*+sZ@pz{bSEL660N*+1pkApjAs{o>q>3uQvz(<{JBRokli^NNQ1+p=x;ow z!;?_<0JnSD(PDp2(fBvL)ECBrn9m>uQ5)u{7DHG`d<|7^Iuf(?6S`n;=+{qW4`Ev# zBnd17P~?g8-{O(K{BQMv6w~G)-9(E2yv%bvC)cGqMfp+QnnG5Ap3k=GfZb(K3E?^D zxgQihZ~!?6U3S9vQP1rFGx-rH(4J#4Q>U%(kedR4f|nE;i1I-vfpCo)fncS9a8MwY zE^NY-*YDsm9}MK>W+7XlBx7Izy50r+_qfu+%{FxGb}p-&e1ZGcq+<@~c(bdb~$UWI1NbbY!esPd_1${CD z+ncyOzlQpjI#@K0v_BUFfFBl;O;3xr^|)|4YP2)<0a1e|AYoD=Kn#=oz801$8zKK)hHlI|jrV6W|%CYYwMnt0_Ng5IvF7@ykAvuFrBZaI~F zXs0le&6B+5;Z~Aeljl&%6?n&M*ZurZj(!DNw_vp_fU}q^Oc5Qfc!>X~uo);{`s3Fe z-im&=M4IG?JUL1khrFg(;YJ`nE{FNUkQZhMoBbkjY(z-fpk47fg?c50rX`;M@2+QK zO-_-~Ap?3xtDQeBp{#p|6BO;iDl!ekyOt?AxUm5-Axoh|-)aeONeOp3CjGz|qE{?Z zFCxeJlnL%D^EzIqUOFAU$5{$c$tn6nWksXWUsH-K{gYF=q?-lb6q*!78nGuQPXnw$ zVHB_{KmSV+%K{(U+)ov>n{aY(LOU)!4-CL_+==(T7()Yvt_`|<->XGb?qOJ5#kbK- z#q2_u(f4u;kSE_UZ&7wA6>dm?K^+A%b9bW^<6G7Y#ER)g{(UKO#Lqzv*nRsB3BaB` zE%Xyh=o`emDHgicfjHtE=1@O=yNNU4XFLsbDP8(-26=d**!K>AuihG_9z8WaVz8*& zam45J*aG&?{MsUzJJ^Jv9y4q2L+XYoJ4daN{f|c4k1X=Ryx@qm-Rj;X+rgi`nl6Q+_TH zah23dtm2?VQqBx2CRihf6yMTAV1zaEknJRg%L?=4Hw!%(o7H_d_hX;3nRs|XJ}~58 zz0t#HqBQ+_`qTt&GfOc>t~ld9T6B*bv?kuGcq8?$y^NKSfrvr+-Mn+ZTlsHk$lM>! z)qHxU{Ok61o>b3PgZ}}nc+Jfvq!BCP2_-?WQ`5I)jDibeH3#HR1@5$Rae1w2FW&Xs zc-7^nOZ}N`;7xpdOmq1_MCQ4ympYhoVPtQuk7VFGX|#GFo@C@iFc;p}cTVK8M9G2Q5$eLh z&%U~A?fP9(#Mu3*ehhVTDMa;^v{PvVkOoW+HQBD*b45iosk_#F%w!uv$DioTf$Maf zJ>cOh;437?G;Uom@FdoI3R%)gIJZ4Xu`jW(WgzsCtccGE(lHd?ynGhe^%i8VYS)?h2g0U9mOy3E%e(NLos5QT8aGUEV{UAgRMt zZVoyQQ2Trv1)NK%Snnm-pZu|-rxLVk!zv%fc~^nQ>TU2+2?e$!gARfVS1gX~33lDL zQihIe4f)~P6wiocHr-kkdUveD{8HJxdvdStWda7#bZ4E-3sBT_jCMS3QwsX{`cr&slyv`|HxncT^$e;x?DaWvDNUz z2LoOmX9qT`p0#iKT*66w5bA>KqJbIXCw^=zEo=Js3*MK=`-}|ds@LKq?*~6y@dDJ7+dD5Hu2DajYfXk!mCEvhH4t;ia z`ywFFU#qQK(y6QLR+;dfna3{(=j`llO^1VR9euu(T#$oux&}T`F;4_1dp?b-PfD3c z>M-W`iD(rgxrZ*rP=$4NNv}#FOFnKtRN^0JHvsyq+bvlA95M=EUfxrmr++%?P-Lm^ zG5)h$ZNLPp{ds^%PXiHM3DXy-!TfzhEH+7{U1da_eRGPS@H?()T(zr=ezaomd z{!G01ScUsc7Q@ytfO1DTqG9y}>DdQ}-&hrdDz+U~ja+w|qk+chXPqKc!80nzvjCUq ze~>t5POyrTw@mBk){CA!alVZB^mECqeDLO*i|%rChhD7xzgsW<`VQ=mjMO_5R+9Vh zjE;%cBX}oOi`Sdl-~@0tcL!eb1!|WStRg-fqEkzHRYq!GGOg=gX>qBJ{fMl*;V*mc zR|d(WUIXRzKY@J9Y&)hDYw_>Wf;rXMu?@CCaF}~j6g%kFYdWVyx2OlNlpfLDPEQwc zeOqExh~gtH;AWpGP=% zFYF&XQM8)6cjR+qHf-k}fTw$*4;a8llmne?Bh;7A;ZFM4MKwvPltIbGC+Q`QzeAc@gN~O}$O<2~1 z^@zt&*^gM}pPLuI6+F;T(`nlZ50xTB)XcKf8^m&Yq2OniTK4Z4N{mbyP6U)B=4vW= zpHqE*>FYy!fq>a6zdASa^gF;xR8uC=D%=;8ZI1swY}iLfPh^AclQjte8O-Yj=vM@ZDon4%_O-Bf+ww&xDzW**1NpRXsGxVS9#Y9jvJY7DMuC-gHNp_$( zBOy`3=o$mz+C&X@M7>LUU&_GSFqp`F!87f;j(uy8$_-*30o4*JVW>H-c5Gm3%H7FO zsKy>BHl|K$-9sQ2k*B#-`k5`QR>(-SX=Q)-ygecD5^Imp>8Mkz+77+5I$cDOWj>6HZ9(!$B~jJ3_({f@YmB^|!KJ2gt6?P}Pu zV7;R%f%+spYG+KRVyK8-cHO%^Npx@CknsiW`zI5{f4*=1@`&|WE~6A4+dO?izNU4H zl@#I594t9wJ@*woR7L)fxo>e*6K@lB&pBE03#yUWBei(r_%9<_8YtDR5m?N*WlpP^ zJ;k+oMh-5|HntEeW(y9nHb)6HGvIMYEz*ksoCY|eK`&<|Q!MUgj_Y`7V}sxRvrg^= z+{q-l&&_6d#BQNNSpyeLusN9#jm=tq<#mEgJFi|_1o;BUbCPM;We%;M~!0tzIMrgG))n`gpQX#s4}JFy#t z9WZ0|m4B5su9AJr_!5(A`Nii(bOQO_;R6lne{QQe8Z#z+R>qI_U+UUrW5v_38A@87m6A3eLadlq-zIjY~FIg|JcDIyMRSZ+j;3 z&`y8@K8rlEdwEs7YU3FqqA45oV>%pz*LCw`gJl1@|DYVwd+{QLg2Yq+9DkUuBQwMI;rpR1-(a6D_X~-D6GEJ4{Lg%>sEX zi3_s`GH3;HsD4;~at;Xg{iy;Z7SULCm*jYJNIupGQRy-s(vWI(?TOR&td_*aD~69C zBako(%S>3K>Uy?Gley5~Bay_)LMdG(Kkaw31=rj6?&kuV=pE1;lB1g*wHp5uDC?qe@t&hv7=`mj=Y z>}LL`-IQIo3FK->=J|2cN(OcFC#niyjz0JW;`0Gj$J~{)l2XUKm72ohpTcQ`(U8oJ zdCkFy?XV}0F8^FItA9>+Al^+1!ci*$-2sN*kJ&{sOzTHrO{y^X?X_aWXHD$2cG=$- zVrr9lyIwMz=--f1s7ikpprp=J|iZj#~ zr$%hKmRpcL;YS|v|zMfN4m$+^1 z6sD9Dvp%K!w)`Cno^#-+=@Y>>3lJ?FzFDg$N8DWsCRaI8YGZNE zd8vGMv1g^bEm(9}E^eNmH!ah?q>?zok*hWN9#s|4o_Uym9tg^gUHk6Fw~ zJ!d=Cf2$N#ceLIsl-`g(@`RAoGj!vMwkiSRfoj+)Q&)xy58kLA5gDG37yx$in`sHf zcK?p~RxI_h`RLGep>^@CK>dw@W4XttHp}SaHFÃ?OF1*o+ z<&`-7XFz}&$r>zO1T14D+a{U?Rynasy-fB^I*6Wn0)2pv@ncWKs2W`zRdqUlsh`&~ z1o|1VZANa?k(BgY1H@vX{ev7#cC_gK1c3|?21cy#K^#mXu}MOb+} zPy2e9+>SuqlkMo{u&38q9C94a&F~7e0wM^yp#79)-?u5j0gAC#zRMb7wtncXi_OOe zSK7QL&ibX^I9APMA-_5FcXZ*eq@%xlW(C1h`>fG*1kvFtcZi;zuaZOmZt_X&)uinn zsEBOl-snF^GUT|(@=jE~%+R7~?*osgmWU1ZRMf)q);=n;GY1f^mUwah0P`~?EXy1v zSrQBraGyp*f`jxqpCYy;pA7T5Le^1HhhaYPmgUhKh_&2X?IKj=d&R?B1-%?nD||QY zN`Wn+qObp}XxcZzM}+HONr}!>)6kO*%<&8s2zg#Uh$GQcix5#4Pgf&L(;d5FB^+)oW0&Lx&U2!|Gc>NPM}jUfvGc|9uC_;j@wLV z0^2i|&uXVwovj_>`E4guC#HQnuD>Gr#OcL*;ZmB|WEe$~5ch$Y;W~XI=?>C}^g%KD z!NA65=|IpLSG58;+bO~EwCVu)q0jd>Z^E?Q0EL@1*s};;rxv>3D(fQiJNR~dTdAA; zMpdH5JvmeN#%^6J_&dgjnxjhN);GNKoC#jq&_>T%aYeU^#DQI~KC3STmhRw3W5d zHw>hn$|DJ_g`7H113C9Gjl-Q<5AzE`1dNMa!mVsWPPdTnY?pqyrt*5@WkL&c=LZR| z@bF(@jF@wwzo>NhjCsG*z#(j^tV_b09%p?1r0eYwDLctuWI40P7qfmKeV^3|1TOWc zbC47}F$}wnJnL}2wRT0t%rk>>G3mTelgcyhm^I-6i zGyYMb7gjgi1K1V)`r*g>ZgHh-e~#L+T->(ikJUTPcI!LGhZ~pTW?ophb4l5oVP9`mLlTmoGi9wzqo&GC}l`-e_k z-YPb4r8ARz@}_!2?GE%Qr6JxD@pfVM4!%I0st>8E9Kya*(w^^PLN715))y7?;k;vD z{cc~wJfs?1qa;hB)yl)0SB>bJfKI_{4^{ZuhupC*|+8FB=$gW*Z|TdhgAHgOl$w1tbre>0>MJm;`r=@vdDMnLKJ4I4)SFshQjyUV@QOO8?2ZemBPN zv-};7{1o8<#}^jIIYZuAZwUMYG5T)>12Umh8$Yyf(>azI9*SdPsWJbP(vR?wM_}p( zvxFy{#8y2q{LgH_Bs4FwByD(nd9oW0D4kt<<_RU4=-htNBsu{-k(rba@Hv(T@V_wS zzg~Jmc+UoR-pZpsVeZZu3j+wyd}lAA=7%33yOjmSjg6I&CY2fevr4IWKfIK^M@-4N z%R6CqhSTNh2ClvAcDi?(`h~6tGuA)Py>y_PhB5l91HM?TX(t!ao2P-odcEZ$R`+~W z06Rdu2+XiQy!r>DWCYuJll2^d9I8xe8u12;fzgGxX(WA}pXBBsE3^UqCDzRF&&_!2 zq(*`Szus#`Z>2|0=c8v!kck(a)YHS+L#!;&8uCi4!)vS8T{gN&d@YL)&&LNQ3}$>C z+M&ppZ6*pmCz{5InOy-Ux#9ny!T9x+{bl_xi8K05)Xf+&0i>yr#wGj;I)A=(=JLP~ z5RW=tWOwDn%4luOjHv1ccOei2tDN52Wn+MW8XGSlbn^iF(RNXXnX6hQSp&hH%ydc| zgUWSawwc_Z1xEFefO|ye*WLrQ12NhCEiFd?uO{O>AS5{$S8*B0AG8N_DThJ+<#f5; z$jNneDryh(9UwcQn4wyis6l%m?dC`zBh`T&(0SS=Zt6njVo+P}a+aQ+d=N?;nR{UQj&y_6&HJEJ+gs1Kt^J>N;~Opc~lVgUF5w`%OuTTCm-XT+javYCslak;+g#?RDyKtH}PY4IKfZJi+cNa6n`jHo0 zJnqNd=+#F9Qx}asdW_))ML@gF?7Cr_D-Mf`I zmWvH(sUfwo8WbesJt!wQVOL3KteK6w;2*QIdlR1Gww^K@+IA@b|yJwc(+m zdhdh{K?($dx{bd?%4bRY8!Jnm+?P5fM!6-hFaenLDx4R7g`D;n6RR-cfYo->6~Cgc zn9KAu`wF{t$0r|4YI1>Wg#%L5Ra_4c2fiu_VBfi&>y3(u@nP0N+rCW2M2~d%HgBU+ z2Cimam<#j)%rzzl^J`Qt1I9sCB^NU{W+04cmoG&EyD_P+!wRi_Fn6e}iRY5@%udne z-<(i{Vs2Ln{x z6wa7&-pR`iDWE7(kZE2@$N zHdGaH`#};xcmgTOgzVROisK#3cV7MJjp+2sB9)LEKIFVWh;MXvnsq zc3T3=4;|%6UbU$D*+!y2&n?xWg#1pCH5V2@)Z?-T5^XPhHDxcSYc`kcBmq#l@%e}p zQnil7up)^apH^ymy?Ves(yDCs=CfegOXVkk4iFSH?u(Wv^@;tofyLJms!LyG973t) z4dkklukP+MBnxZ*#3HHKuj4v#SYVvinXnG46X{UOA5@@2Xgz0D@ULu}`Mq^k+CnA$mGgfyWjgV{z^#JgHI z8*VzjdAa0?;$c+hWHa8w*-PZYXUo6KCNydn!(4sKr6k5JokYKc*^NN2RW6}q!ug9# zmJKC?&+9d(Ip~~ef$3MlbSB(;$qCNLcm*HGQKw+OD&=~uxLbLnZ}7J(YjhJMYp-9R z4zrf|Y0+8~lqMrf#Re6XZx1YR+&f!lEbpOSevcP1%~%cy;-2Z?Ffr^gS|$bO7tLc6 zuSj>gdqlom2&m4ezKga{IeL%jq>B7))l*Ni!Ujd4Hl^T`bfxMc`7=P}n~1&*G{0*B zm!fIrjytcO7Uta2Q0IiJKyrA`B&Tz%lBK=UD{YIKZ#DBj@7L8dL?}2>Z)4;1OLo-=BX$v)wCvgUf9jWMIgK;(edo~SIVf( z4-FYsg2#R;T(IM7raq<^7hsiBrV&kN?|iUz5lQQ~32l`Op|dr5c16t+VXNe&uXbbdXQMM@6c*6C!hihysJ75K+*_!? zBi&Dz%&(sVF=ZXh1Z=%<%kPci@9@ulJoHy@GymzBztXG-cR$hwL0QD%BeJIvEMKTs z2|YuKy(ezA$KKw#^ki1YXXG0P`p}doPovf!y2XEUm)9V88J&i~U>-Z7fJgfMVwVYU zeHG09O6&YpdyA%`#Wk4aM{2@! zQV4-Pbf-BAX-R;y6VJZ(Q^zI;%Lr!sM9eZaaouINqpqBTiB(`&A3lfWcYJ*H9smR@cT%=?z!l;^0K zH^wn;J$Chz;i31!VpsVb95hZ`J{7iT3l7yfMirbE$w!qtZK9QZ(LB#bY~jSz_VEQ9 zr;$`uZQGAD(JRZ4Ep=^kY$Nm6|`9t)39YRjWD{6H{9-ezb*|Z zUoC0I$O~kDpL&X6-f}DX)W8Lwww=4@%)o`*AAnesj$dUvkmVPm#qFB<0?`Uzgu4B> z6Z7>PKzAS8T)5*Ody}T4htr&Ml5a8;?I?WpqjT4Dvm41y6UHmCBcy7(9meRjn!xC; z$L?nbl9GInL~lrh*a6AaN0K|rh3*wo8=z#RSLyES2Bu!BBH@|YTb6}Os5@X5yRp2v z=<0M7ZY%3+O=&R0E+|p=M@_WAC{3M7dv}p1ZQ1Z*bK`2qN`k@;Ljg^z;oj*kD6hL` zK)yI_IL>lc|Cs~nFQ;8;7RA0mXFUS3BHa}E=i)Xy(hCWq62pQ}ii0L>{YvW8l zgNY5kD-}%~Nkq-u=HhkIfzyxKPVVRf$>S&BPcu~KV3f~^Q(YGURiH?f!UyKpTP>#R z_ozdqDw~(cZpnIqgurD44*&4m>(AB9w=#dMRoxUDuKT2KwW%hP%rXzW%x%(wNrIx(4CS60EL7{i zS13M8+;FTkdL^Y3pQ`u38gMhLQuq5BLQhM{;T#j#`8M;X$+V60iF^jx-blX1lBT0R_7W*8y>c)a+%R0) zDb+l4SFwI@R)-Jlhd%9=%e=nxpp@2LM3?2>lx<_Gsx-8`zElc0_d?U>5zw@cU)DLibSIv zOnUbWUxzNhl*=fD{zG!)ACV@1^?sQQibR_+i=Q%4#yzmj+Ah{h+W&bw%3nx!@s-Dc z$M4^3(5^FULp>+SjaouLAb4wfk}mKIbucj9yUQLd48ZqXfOG))Dp~@uVwT_T1@CWo zo%tTrTg|ea#I%_Dh)2LTMp1onF=B+fx+$BpQ#3$2qEl&jzdabfA8VBoS`?FH|B$&9 zq!zVS&J)}>$%f=@ybs}7n7y-zxH~(02}qjZ3)^V-1pJG^fXJwdrUO)Wf;^{;CmL-M zZD2Z&#Mas`)-=}h%iVe$R~5^XL+{@L*o_eVE{aCLNYi&Qb!W^kK8V9G=EoV#O#|Yo z>VBzKu-ma$t;QaLHpDT!G?mRz3NCm62u@8er+L~}MlUB{3QVXwx^-NN%;;3RTPNK+ z6UR%9!woPcaF5SG5!6#+Z ze}6)DH@8X9PbFZ|uL9>h9CkQNFuymOBcf&Jxvei<5!XognE$Yeml_7UIxSy)O13nv z*8Z8!P_SMZuw}G@x022fL}~79Py5OzYIS#n6i5TJvgl zpDVIjPs?Fk3C0|Lgn6OFK}5>;KwzdQy^E?D*v^#^6ch2%&RT}{+yq7C1>V#N%$ss2 z0|*z3nn|6Vs3{2hly?Rf)pUx)w4}xxQ8lh?zMx@2yi31x>Mh;yzK@BWu=S8@S4P#V z%m*ubAkL9|{dB(78&Oe9iNFI=VhHee|A0dLH{OpKxE?D;U6Ay#1aybq5DXyGkiTJ> zH=Je%+y$RxMtdy~oGH==5rezff9B`5xq_0wKT}|<($?>qsNvJ@O4T9$1enO+eCvh6 zCnSRLnL!QHSDSuV$-t2nAJ`ljUbfpjCV1+T#rfv~_ zR=Q_c_g`%4a$V7QV-uInJ+zw~kpnzQp{wCUNGrf3boL;YWub^IH^t0XrH84s$!)1g zYURu@mUM^&vuRItGnJS?hr+A$HKTOufLz)T1pY1N8V+&*s4D`FHip(aX?449tQ~P< zFW{c=GoIqbP99ovmuU^~zLqX0cbfJ?&X`8pV>+uZG20Auju~`Jv&kfqAE;ekvHg%sdm9MB+Sg0o61M#^bRkHkK)9D&<+l|?; zw3<=6v0d!3n|`Y%p;1fm@Mr&2sQ*`x3;!F(_!CttgcyBxET54uN(G#IA((kc3Cv10 zTbQw{u<`$dF?oV6!k*x(<9WBzbHsji6;%GVAlq5B8^L>@s5v94nGx5wZA#F=$@BW< zwCUDsj#*1YRH20DQ^lU2?nM;9{3E2!$c?^RegES7haK?>RuRgXMT;TBT8I3=Z5h%c zqJxT#$rdzN^|nt_ZIpN&x+6jTO8gN#l*wZ?clks7<6GV}3 zvlF%Wwp21^h0nYl<|#VQQ%`yfuywz#nY2N!E0bX|9+^&!W_a9O19ZeNWU2=LB$~Uo9jj<5rl|w>xRK{z7m`_=RKm?D*i&H;g{&Sjr@Bv7xKSwtIU;3SYHHn_A zhg!0U+XLz6mg|)nv_n|d<@sDWT#{$5M=?~jK8g=)sHZ8|kJ&h{=Gw-@`)9FA%cKBY zj^K3jHk~5D;KBoK!9Y$fA_Dl6fVH+vs;LWv9{fE-w#(W`n7V6$3pS6-#{a>?l!v_>XG@?nmSQzy0q!X~BCV{{ba3cKrYV literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/maximum_margin_derivation.png b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/maximum_margin_derivation.png new file mode 100644 index 0000000000000000000000000000000000000000..a0d528aa78aec676baccc131ab6cfb532211ecaa GIT binary patch literal 29136 zcmeFZgim8$|PLc}9^38M2 zBwg40RdAj~EX#i9{gF0 zHQiiY5#RaDR2oyXN#Nt-t2iq#l_TWOVMeyyp~dvNRv7j62`4;-NV5)eBu7M#%Gv2% zQYSQiOB8L6IjMUb11C(ydchD=ZhZTbt_VldloDe(he6MXNP9uuT=B?SM? zxRA1K`)ekA#2wI=+W9xIwfD|Of4Or;dHL<;Oq{!~ZzO(;WP3#(_HXO%r>B<4-Fm`7 z8J+uGzmJS=voz5!Fr3z&iHpBRs_ne6=cEKL`ZBot5vAYm)8bR7uB;+vGlMSyPeg1k zcg9!--6!*5QY@F-OV->D8RWgY=v^^!F5D0ZJ$YuvS)bp-qTl$=lAVv&-(I zt2#pcIRiaeQOxOh%fB|{u_P0)UI7B#M^na|$FA-^`yb3{H+2LV7#Kc3`iUKmfsV@4 zdZV!W%GK}nxOTnUIDxGy#$-S)SAZ zc)%HcQ4du-gWQ-X^_2>I-h=Zd{Y?lXUU7;o#m|tt;CdS7J z&(F^fPfh|`TErpGnc0LJ4+roG2@xeFCA+)3xvSw%%4Z^k9oyP=P>ScS<}61mPW$xU zluW!v|2kdXT_U6|t7Ql~x4g91IWe`CqDRKp-ZWh8lL{NO!iX(kTWLF`7S>E`Nt1VQ z;QjpNOJu-@%uPh?%%mhTO>OP2+1U>=87y#bUsqr(U%w0XlM?5-DW*ac((M|((2j@2 z$haHhd$<>OACSmYaNItLvgJfQK3G|vka9EqyHvg}hI;QGd3auA>^k}Dy}AJ-*erq+ z{zuwB)>oz)eYSWWMD>y@X#1v{Lzubd>`ESy!9Y+d6gu&h8>e+t*Dk_7`0|wMXyjx%b zGP^unF1`$Qg72iE1SzpknaeR>CggTFBJUWFe5?^2c+J8`Si(er7P5Ex>OfDpyuBr z(a2yE|K$_HOt0W+5?&fb*&jcCu}c6FJ_>g^{&xP^-|4Q74upz|3d2NcS=kT0?Q%KU zF1s*)7)%qqBO^1j+^z%I(@1bDr?1kPevy%w`%7)OuCA^wvtePUWQde;F_qQTvUYad z*Jpo2>+6N<8ya{(bZxVs2r^KcSXe|5K2b7&l|#9OghKuO{b7$m;E~wT3JUCZ$u)9{ zh>%ZBO&KOifrq!Z=Yr>hSAEw*uL2yAA>7D-am=Vly`&S^w1+b=EUYlxKUzU~Z=s14 zlaw>4sY$G}tE-1I6nx+h{~(%1oMNpvx@$a7d1YnA|I;VDiq{MbS*(WOKJR&xv81G= z$b@XDczJob4cZ~8!uHa;mB1Dl^{-T;i)3GBC?@kFYu8%&7ZtHd%gFq@G3(E_yN|*Y zZUk)?qfCarL9b7@|Cvgy9VdlC>|gy+OYQof-lJx|!Ev*j(?2ZiS4X>?YNTQkH^SZZ zSyx9O>c2{>7vLYAPr}E`EA8VWAs0gx-r{)?p^Jl$9}gCgPcm0&jG3#P5p#R%6-6zU zkQp7OkoBLJD-cW(bL9jsf(p63+RQlWrL+yx0Z~WX=M4)(vz#t{VPnHNoGu=z*WwWl zzoB?2wV;3tEX*$_hY1FQh3TTef9J0l{VyzYA|i1>u>L1X^(V!5%GH@YD{N@B=*0Qn; zE44JTr|*h1%1|I)XOkL-XJ^QeC`uuv?uf833tF7;LVJa;Tk9lTdQrq|>fdETaq8Vq za^bEz$+}yPuM*6z-%15s;qd4Pzln$;>%)J&K0L$JZ^4_se~Bf3Rw?}%iwnA}tOtA{ zg+0^Lq>GD-pk2iSS248o00){}{rfjk)Op8XV=x&F3yY|U3VhK0?}P2_aDAUE3e_)yZ3}LEFS=P+#sZyF~FbLmBT>|_#CE%(IC2q$^m&=F-Bk6LQt+%*I zDJg50M{Bzvs?-obCO6kHG?dbe3`h9JkI)-kB@be6aA?SWXMzQb=2;T(nS28H6S4^i z{aN0p2iI_DL$tNOdtU6n$m9?bO4Q!M!&iHB0exRIEMdhr#lq^ObAOk1X+Gdwol-%9 zgKeR#t}YG>rxnzdNinxvneQ$)vH3>q|LIJhuI0g`d1|uOWFH+NSwo_y6qEXBYS&ez ztT<7VIP&o9J>CL6M53(5`~3a;YaS}CR_p}Ai;k+a+*T#`FiC!#(6zCI+W_gqY`T;htfc7XCqDipg}`ZB-hGNl?Zp6Ye~bT+3~u}B zQeQbVf%1(-F1tCNX!eP&JUd!==NPR?cKp=Cl=1TH81A9&mzhiGq+NAMLECyKFpYkbRo_>N;7D!@|I z`}ga&4;AGgd#H7_s}njfR(Ot=`Asun)fT1cI|NQ07<~04Q9`xpc{r|d&%@H0B?wz8 zUh2&Eul*G78xVq~fG!basTi86@3~;Dqp|M%N)b6%vB*dBX2uJ{)Q1l%^xfGw}zbE4UM*5wH>anpHh_7g?);6ozWVh zk)pX=Qlrw(a#ZnA=dzw!&)N_>16%0rzK5iiksJ0&&}fF(p^Tf7ySzrrpFc)0-%A7v z9Exz8+#T0k+V19aIkP1XB%H^j2b4cn5?N}^mSA|)s9yeUk*Hsr*);b|0$hgfgPq$p z)s}l-qKVK1ge-P_Pi{_#ZM$pAHZmf_x?ZJ-NKEi`6bTU&l5Ju>c1*qIf}vd%`0t5`8b5PKkjBQPy-xyGYKQn?e5-ojs=7a`0erWUy>o!G~Cnk+JY;xx|o5$U! z{-tany~C1YlIxb=HPKkOBWd0G#AYAV(g~)A z)8%tjgq$2X1>e6liA+z|g)%WQJll=UvQfKV;Ff(xWbk1ct8(5>hvU`Iqp?!m_L65J z#S5rejtva_~{?WnBy<+emVc4m&+QycM?SO`+i~T%T3;9;#VYQ*xgwATKYUD&~rlkdW~9DG?dJ86Lb! z^>CM)C$rx3`gqc{7s`x$=LVT1)&gO@XQaaGLh-g0iV~3Zx7~eF=+Ig}d@>59Y@$2oMT^^c|&yGAPlR%)c9JUbUADJqKx>OFK9?0?-L zuB@c0x+D$q&fA+;r@w#3q!qh^R z$y|6GH-*t}wbEcl9m22lV#|T+4MtcH^y0;(mqXvHeN3Y$W{zFDkq6W|BfYUk6}^s* z=q9^8p11Ngk5=rT##qh!_YYPovj`v9&c_UdO7VH}`|L+r|8A7@sNrUxD*4rMpixRc zmrv<&g%jkcOH8AK{UR0P`J$pu(=}N@IOe>kR)S03=XZhj#{mM@tsBKF-VQriDS2!= zXv+3`hEk?)iG9)WU6J|sub4v`YJ;C`vX;tyM1b%D_ZoVJ$iFw<_N~Z>?Oc>NM8NZA zXTFH($&)8K^>zs9>FIF52<{eIQ)@^$1%JvbD_BkjE z>88CRpfR|ZGclWnmBUh47Ejy4BiK>C&fs+PWyA(q_Zl%_>hc&*zNs#85_*aA*W-*% zL%egX&v;2K{ub%N_W>tTZm>Ohf>Be@5aaxTCh`xFTJk2uZ^!%@!3hM>a*lMu~sYgUpg)%(^ zk4CS{*1lm&Z!{cAtWIj(^2BJ6tw)R*#canwx1&L+K_M#qMI!{w-4&1c46hJph%N0B zJ31O76`Z0Mk%6-#U`t{F2saAg=+`O!NmKvxy zG&JRxK9Z%ucmDG+D`*e$&+jTq%Y`f=bP@$W>9+py#fP z9r1DhZNt^&zx#~vN$5O48&yW9!JcM?W&HQ)G4V%o(X65>@~ENf_R(GK)E0_}%X!gy zm&XVJJ=$9fE!SdqYJZ%^vc`DI&Ev6{o&QR65`M~7m4>`RmuKzXOY@)XU@=>r z#}-k6!VZ55ZPnSL>tgx4e_R$kB+@3KbmZCBYw&rls0b> zexHc2Wl@PrpE$BsYs7Rv$S0#rYD(6DXYJ9LNmI*s>_Fu6x&`USJWVOh-hlp5a%THa zN0Y<(dBkrXf>P)x)+@7l0#gt6-;Uv>Ek4pMF3jC=)T}WRH%L$*|AnUa0qOLp) zgocL-@$-DstC%j>`0?XM#fhA34MC`E&0zgYOxQ0q1+UYbiL^Dfi@zU>&gwi}^=h0wqEyT+8VKR(gk=Z5??&N9mP z?98inT0dUx)VWXuwC-fw1`zlpd+LOL!OX-!fDZB_dG&UHpxjkhn>Qtwl}uqoM=Yjf z$CauW)}0r!#~go;r4QThK2~DrLt1p8{g06uf@9h>C0Qn#k7hUY%8*ZiZLL=j%F^}K z_;CNE9V>(z`}@o9Md&oN>9J)>2{f{=6aAZ9X`ZX)A3>Y1#l2sVEq z9X48Ib`e3ZTH(8sNW@8#2K}zOyqqca98*KMh_;la>gksHy6#eVSKTpmdjq@A zLED79-fNc$>jpRUi~6i3a#R}X_q-n%6_Wey@m7RR_S=Q~8{}Cfuel~gT^(&E1iwCiuo*tI9tmyX^vjsu+`POAJV_qyHXYV%plW@qXvBVlWR4B7Qpp^WsX`((9Ch+Y|JP+pc^Um-w zv-uQUY(>tVsykZB9owIhsXd}WH!>t$`wMH~*}{PSWhPb!OEAK9^9Du<4%N4Yu9iIV zPhWzmx|FtNCv)@X%yuVGadMx#sFVERKy4q=L!{=hZc|b-u(63*UN&$#SWE*Wlf`4u zB=MO=O5DvMRBYPSX!gBvE;D$_U$e-~u6a#DLFD`i>-X`(S<>tfk+QE=*aMY!{#odc zM3xI&s~fY&3{`ta=cKPkt6+;J&i4YeubEphW?Jaj9}cu~(6xklel~ZrPH?W>;}-OA zCek|6XwdeLwl2}}PySkZ#^|(v5Pe;!pwp15x-&iWeGPOy29W-!(FW5C!|`qG(OL~I zSU*CtJ#Kwdd>a|#-!b~sM0ca-%F$)p94}1*)6*9Wm=LijE&?1QO*7w^%wR5vkt1+F z&z3;sKh|X518eR24Z=E^zgO(^8~rTqMMn{WKHcT1cT@)Kkptv-;{ZA^bn!~EC!dk| zAvNGokX+thlZvaP}vs7`jCA!DbY z;kq?8vivvM^Y_-;5ZQvBH&39Po7zBhdg7PtxD#$SvBaa5TW#UIlf#%syYO5H$x z!;rhSW)naEdL& z69@IE|AD@}W;{5kx-2@t1UkL znAav`m?qs!Tlvca`+B+6IHipe2lU;orT!~yfd^4@^$#B?uFv-(DTQppbTRPbdVeBG zeVTtTHT?7w<36Hj3}h-Q zs&3BkFa;wx!qQT1*n?5u*vKFvlAI>UFebKJUZ7UjC8s*4P|}40dG&+f?&d;XQnc zVPODC)P4V~xJ2h?dG1Sx2C60B2k~5`G>jkb!td{H9NoT#F~M=&&}Xz$*Jp%H40nuQ zewN#>$+2ryB7s$C*Vzz*#WCQ7ldOJv`jWcq!;qN!F%t?7)l(O8Sy?QrU^1A(FS02x z0}J7V6TH-U4uP-E8gRu-&=es=F&FOQmx>AsVX((|DjZ$y%mL1Sr|9YFrFMB0Rt0TQ zTJI8|iWVr?6hRW+*URnxh;Zb$1`Sagd#>4?Z(}$OQ%FdtyRR=&7w4raRP)PEvZ>sMp z0BRaShn6I4&v1Kp*8_sW0-=;Zt>~v(7CJgQ-~)R0=ITZpoh^fcgELjK{4-CBi6A`A60m5SPw3Y^3et3BJ+{uX_1&hq@%M<0P ze(#r!WK&KfbxS^A1JJDI>s5f?D~x~(!YgpKrKKN*;L^tEHo0U1TL`%5e@_2SN5}mM z3aFh|eE^`3c6`b1c}`>%H2{aLj90P{8Sr_ExAOqXydJY!``=oCiq~`u;=rOREG#Sl z4gJtto|{2HNVu}P`mUPJKTLs;48~*zfN?uJyXRI`#jqcr5{N@3Az8LDT=;&a8`5PJ$OEh$4&DO?Tshqy zH=8O>hCNmxrWSd`u8)KEsOy6@A;?jSEuN78b>9{SLB@hoEB*85&+^(@k|wM|29V+z z3gN-Wf+{$s3y;1Wbig9yJjSwAP5ATYW3f)dJ3!ehgmRZ}=c^T|uK-hkfHi(fGnK1s zs+s+{xuxZ3#x!H43s;f|0N-QySXQED2a7G5^>+003k&!(G@LFXr>Uz@>*J5@(;B-G z3Kk@sI%tT9h+xO@5856i@(l4*8pvQyzqdxSc|dqR^S*}XFEn&?{3fP%Vve~VHB)$B zfD0q!qR9LaQE}RT|HfPLx#95g_9mYV+xh{n{q%-e=IvX&-e}6us3(NL`n#|b}bh0@}TJGXxNX5SO4s0 zjb&xgNCi`P2LDNw5a#;?Zr-t6U`4nSqC*YFjeu%_unDO}?OAa&?MS)YH|K|Y@A~?B zgTW-8-D^U82#R2f0JIb7^zSq-DlQE$Xp7^~YE`+Q2^P0e2#h$c_2zk-U3g8lm5W*ym75m-Qgxurd@=k&Qc+ic|w3Af`v z;jkZgD%c=>_2eq1grteNM(Bq8k(EopvWz5+)Wsi-%zcv_0G@ujzmSp%$gAZ~`5&w) z3GU9O^?A&G(?Qx@m%KwS7Cn{!MC8!(RvIws{5aOqeE%>>_xbC8h(dZnK@yPK`T+Iv zw#~=8Vt|2x0~%VAaD0B=dwX?)0QthKXqbnMWtpSBySs}=K@kB6Fh)^P3J}o>3JQ2l z>1S3eI<~j{L0E~OK_~g6_MZyyOmDlYV&cF(b3U)%Q%Htdj-{!TI_I= zI=3UkV$F(2)S^!9|ER^hUSQ$U$k^CE5VSm|!&DWo>A|ZQye}H^$A(OSdPYl23!9k< z*L@YuN&|`!;{A>OKU>nE2-eKfz$~&scKH?W2MA6zI2Rt~2+LPD)Xbh;28?c4WF&k) z#(2%bJIWN3+dG9Q0tA0Lbe9$P4}v77@t=G86dkL4vesbz|^A*eoxw$C--+ z%@(|f?e1D30q6S1V5)KiLpcQEq0tthPn6R^O`--iGMlM<40undsc9&XF~EZj5T?Y9 zF=b_337onZo}Qj1Q?F%>jo_^WTbguc``@xQoFDHB#xubiS`^90(sXonA=cR}NCO=H zDC6N4bv##52IwOoa01xQ$tfr=?+Fz(H3B3qE)JlwVNp@tfcQdy0NxMQ>MaH;59jQr zv}y_{Mm**5d!50Uhv(;VCML`Q0Rh}Tw{8`$3%{;HOEkFJmomT;6FZf(BS|>y0P_X$ z3k*aAe-$D9L5qQraRo4d`T0*F?ZEorzl-)hhi{1hKVNtFe-e4D>sRHqprN6dlmKLS z-)c`}WasSIkJtF*8P?8v?*Zq(Fz0RvHH?d-O zQIi$mVrE8BQc_Y-QtB<%s#-oc(EsswFkPJT?{rxxXm|mgEu0sfkMeJ6+oT}^S*9S7 zf@FdtEG$gN%Uk(j+QG?5R#lY<2xIhDUSP_qdV|b{Wu^8dIT@XgkFR3jsXsJ&D;exe zwZ$X`1P^FSGNHc{!=s{tzI-8sECU%05YSBG4MVe82L=YZ!tfcn?UtYa+1LOCGlY&g z1bC5#o*W7TpcHM8t!2hCgjk)FR=lb@C%;dwZ*7G^yF%jY1@X;k5h>MX^nLGwL1Io7 zb$&(g`p(GEkL5ktl!7n$R7s>@will3IaVpVZV=zvQU@*NqrO;s4lr;2-$z=tQF+xq;p+RpNXBs5`B-r~6X%5vLaa5o6VJ()c0 zJrd*Uz{7IXfmqn(ahuzBVa)Yx`4@ep5(Vw!E@JTGR;o zrp|!@%YjhoIp9~Alw2a6?25)4Dg$dPO?2;sbkmr8LJJe3rNc& z^@yQ}4jO#J^!RZHkm@jAfSn78j>d-gj4&0l?3Sz4I3FxhgMI+07C^DLiS|JRRd<$| zi;wWzJw=eeT#rGw~4whtk?*jB4$H#s> z%d>eemLz2BU)=pf;c97#E2u_8E{5~lrira>ED&@&CBleC76fe(go4uWan>w$Zx2yXhZb_jZ2rkvB=u3h88H2s+w~45qeF_Y)Fs+bJsEt^nJG&D>V~ zRU#QaK4Feaq%%=xPLHL-l`eZAd9kof($-n2$tf32&97a~LKNT>{Y?V|SC>~;=6^n5 zSu&Zk67$kNCUP3wUy_lV_s&^jyA+TVYZ@GXL&@(&(vQ)lRkiV{?W2eP@hD^JgWapq z3`&;+e@@!rAm~El^D zlo&b~iu-zyXQ1AfmK=BWyT{KdLFU@p9_g7X0}}(ociR*+x-B}VH#n^and{5+KWI#W zg^t$xj6jo_#0`A}f|b>~Y!w730%WZ()>MkA@H`3g%+gvYxY)%wtl$l*tawlo=+ae%h z-v{9f`r<&o51b~Km)o9=85tQGE`t~Zz#AAvtA9}+bcVKRYiZH*@_q)wkpH9&^O2Lx zJuv;n?^J_wRa@ZT7>7@)f%j`)9MkMqC@y`zs&Trhm9;L>Ap5sEKljLh;pEJOjIxx( zIRA&eC3xKGkv-xV$dn0%OA;W+9hM7?&hd?=P)$TX>$zHJXApWk+qba7VE7EI*aWPw zyuKa`8mYkyNm>wVrN2SPkn^%IHPz66w^j7}LLl$T%Igun+G%0erlv-LBn;dRWKafPUIKG-bA>l=klr4;6@aRrD3-?oeo4su=IIABZu?bP ztA$3jzh{IhFaPDeS=Y5*Yl8kFQuoZQay39>$RUG)deCsrk>6Tbf7h zi;lr&Ek5VxmYmxL>I#`}=~!6{pQgswvO3+I?}3Ip1hfRBMn6Dt!2!wK&BKFauSosb z7O@1^#IIi%pu*{pzhWZzHwc?UHM1l7HCSIGRd(uEr9b1mVM@lz#ik$%t_W~98G_nO zzsYtStmXi!B_AIj;>F5rZ#YBE*Lsot2TOs`iV(l)RwddbX1)eO!j*#qTwmV@2ik7E zS;Ih(?Wsha&_Z#jSt+EEG13hTtgWL#%`^gHvUQXi;4Yx|Q`>w`pXI;}FPh$TT_Bj;SaVq;@_fo=uaqR*A@b1_iM zU{MNUfhiBxa>KqcSfEWbC1`7+Ij%AD^JRa%hSh4@HHVNu&7k9--rgN~UgBXMHcg1Z zR6Y7f2X}0BE^$!$-7Xef?SWS39pW5N$kv>b6@YP>k%a{vG{90yN;qJ=$cw+hn{@dX zg3K|er%rC}?(__+oK#c{5PlX6%i3B)4f)CVyHoR@(7_vI-KzQ1Q{E9CZXOo=ehe{F zu!E0ywURd{O;l7=$ONs(Ko(9`%=klDRb;%`6>^av4=9^ea}7dAlKR_#YE zND$x9AQBK5I9hiwjTgiWF)TMxM1;+%TiLRF4p|-fIrtRAjLTh#8N%pzk|kn1Qafmd zL&$vgYNpYd&15(g9l#hQ93SAofo8b@0;tcZ-**kxg8doS>R!o zf6`@Z&=DzL27u)eMZ7#bp2cQkW9zrPN@Y?(fAlq$Ai|p6vrZb9yUfTa8^>rU9l07f ze|LBo1t~3Utk9AdVIrq)02sGTGrUniekTJ+&+}1}dV#y<5isC1pG|3lMHE+f5=@e$ zcIEbpSdG1{|M1nq?^W<%Q0QZq+mU)-+->`d%wIoQPWZoEW2a+7NhpUW&exLip93}1 zqWdN_fK|FWJ0F1%?y@XvQD05^ufE51e|}}rT-GCiTJSSK42B3*SwBidX&e~2=(mWT z(D2f9OU0*XU%%ufAEXfQsI4e&bX1=%CC7U6#^RjtI|ImKy-zZ{0)W8IX?qM=^8S)> zw$}Ql(;ldWlLRbDx+vmkpa8`JMaEfL58SSo6uGkV%9#8Jm+sGcyhqGnJH#Y9*=g*($pgAEE z_u$vj(Xps^*n7La!NAD5KXc1__6V}x6^f@?_--VQl04JqeUs_j$NZ&13ZYVgl!2YX ztt~TnaDvXBTTrmK(fKbxL8~1`zP!?W{qm(h(8;W>t;HoKhO)fR4bvq6+OvNP-~J|K zOEXofi)m?T`IIOk3sn^njy3YQAAfx2evD*qZ*Q!ZtyN`W_WL_Rt<3_4sp;mor%kh} zA|gB7E^V;F!KVH<3QtcEHc*^*h=$nM=8u+|-5rwztdQ*JLx)8?PM_Z29r!W|2oOh8 z3iX0q24*1Kih)9YUtizBWIj|#x$ywWoAhT|0LXH}MNFYUOmSj~e|37WL<X zpnwJp7R1$dO8^%>N=r)zmrdrYFnXPi%7gwVorJA4^|qM(?B2M?<*v;Y_g7!+FD#P~ z6KBj2?hNgC^LK3$LWz@zU{@OL%|Swggte&G5Y!k+?mS;ZXfh>-D2jmX7UK;P1~h z-jNj=lNx11Lk78MieSJqL6C3qy@4+Bg|^F9B|uXQCh}Dv7$F{WHI`2tUdT2E{;Rpy zynK8-Zifb-W&($&`};VhCLs?fIxlytMz~$~b+FYn>A3h#X67pmJJ@f`4U;$RaQPnj zy-wup=<7oTGF~_^Tx&gdcs^$vshc2ocRawQ@cMOEe;gx_pDN`2TgY|@XzblQJwdO$ zD^H`Q3gpLjtKH~efK=PQ1)1|RCDTQ#_3(+gZb8iuY~4 zxS(nNkv;%kr4b}<9xE8P?28v_76UlmU%!4uq8uJ#VkJbR+>QbaL7UUxmGP{@(T13T((0zm?)vlrM zt#%s5;ti|JZgg;P_^!&jvbhPDgaf)E)9f1tJ~2>*r@_a`JxeBI<2CzS0_CboJ0St= z3NQ-{YODZK1GK+icWF%0GdKyFkkaxr8>Dv$K7IQZ;rnp2Bn$!uayMI?8+2m+p*tjT9}oLT$H>)YnCcil>s4Zhel@#wGEBA2n_%My927!9dUe;hgE~eX7c60S$EI)}PyPAE#)P((cFC zy|bWhzC-E>L}p#xQOB->{QF!^0n4RU@2$xq(yZ+4(OPS5;3<5?@ts3M*Z_b4E`SWr z`T%78OazDw@|c*I4-KWI&$Lh7P12qijt6N#nVHjLwogXV1 zqRbe6@0cjmy%l_Nq>e~l`A~;R>vN<1^EorqYMy|l-Ey2?W7=Yu(3hs~rJ6PB?*L>6 znhiLh1B!q1-T53EF7D>N1=k9IB7sO23hFh$`I%S8bj$B7FqkrEwSn z)K`lntDvw|4y)8P9Br070f-+K_RVm|wa~Zc={LBodKJWpUxAzpvsE-0wOn?IJd$UP zcmcMw4*-v?*%~%@uTyVtlq%wgf=R;u4_<>}S>^D7%JaJ%Dif_&1qQFJsge}AGOh8b zxu~Ap0;O`I&vt{p#I0gY)Z=wavI#0|UiBYEo7tH%;EFMBx8WybOR6!czUKzl2?kzm z9@su^SQD-(!HTwZzr)qu0Z$GH4Mhc&2wnz2%(ZuQ$?R4-r2}}0(ze-ueqIM)aRkU9 zz`ueTnx(=xRJ;X33p%>y=afP(ddc2dxli)^9h!;vDRt>4S(p9%J9hiA64S50iak~$ zM;5!;P#Wrw?xel!c6frWy^khMWq!X~T`B>@pO=>xoEQA_=a0ep?hHV_3np)h%*Q}- zu-k?4{1bY=3zMZkvh|mJEFvZbM_dDHYMg6Ijf{)}L3>4ngM&j+_~s)D$KidJ`C;`Z zsUHLeuybmwqzQBZg6XeMR@TO_nTJQ(8VnC(!}I6I-Hpq)ujn5wS>PbXW3VO*gbZo< zjbi_}D`5pdXp6^LXRG&(0XQ-NuMc1};})EXLw6Nj20R{I*9ixEfwwS-iD?5G)8cD& z8zzDH6VSAia_Y2$v9RcDzT@Q=W+=d_D2m@$JsP8#?-2h1dH!5)-Z`}`LxZm_fxNwY z5Nm_0Ik~;N9HXnEFfS}dkrS3HtI%^+o+|XtppXo;|fm?^9u@C{x!Iu zV$VK(PbB?{OhW6P@jg)>^~`#ZZXm2Xg1E^(n_=Ah*cN(H`Qq|0ukG!RFw-$ysgBK~ zKbE#twkU#U&+a zRvXKMuC$v|(N;uMltEaS3`{`)W2|@C`v%UOOp<}Df_{I0Z|C3uhMG5{H-Ns21V>Za zXJ*KOa@c$ODmW68Q?EJf@#}==1*$tgZv`No@2T`!2*lP@xm|A|PilvQ5`SQAt1KDL zKHNp89uJTB1`TvPvHv4y$dYm}RlK`(z+?O#Y3!pS_x{P=Wn0`3^l7)zwD0taDSFKe zAisE=w%)=|IXE<=YP(E)2We#$%sa3qS1thm0!AypcdIjtt*{5Q=sbXp0CQjdM68&I z2>r8XR2ro^9e@%AyiN>Y?Z9~sIxrs%4-dnmRxXxCx0+%CoZ|sVl}9B{9tN(@9YK}v zOTWTWJ`#>&sYG>$;tUe3IO@tBsXCu*|8?dime16+xYYIWp?9DR37`UI5N zu4Xo&a*Hb^H(w$2n9svj$!K%8B2%)P?ccZ2iZiw`D9Irw`-j?>%t}L-2oJZ%#3XK_ z2A;l0f(VOMrnti4=v-!Hgjh7a-1h_-v93YoehaqO5MLnP3w4g#Ky`6+aNq{40XVZm z0yJcx#{+lk8-0O-Q^60i-^mo03{;vx_4 zSdmUjHIKKSR{QSjS7qMKU0w$ooa#AJPY1TP?<_7s?d3(3F5TCL7z?uZMRc+HCRSN~BS?lR$fAM_z(dGc`veJlM zw_;_J4fggnZ3uNW^2aRoY^&2Y!J^lRA{Ywch>Nh-W%>Q?LY`?KFizf%n9o2Q7J%H{o3nYW)oV znle&PjbZoZi`P%nMWecRVm+nC-Y;1E2Fw??=eZT|>*Z*n#pi(Rw6eAa+J#@g0j{mn z=!6be5L@RY3WIrWXk-KzQf@Lt0U#OkGd)1`$br9y7_4@O159Ol=T6~Ugrp&>kPvAk zDOYbCqdY6gl&NNQ{k5coBZf*O0O$~?c(stHfBZ^;S}l7-S+UBWA6W7jU-f+Uf8!QL zyD`|?DoniN@<6o2;UcAL?Zr@|3Gh~Y3JMIsse7Hzn1VhzhX>1wNh^4v=0zk)M|(R2 zm_oDBsbK0r%zP{WQK{&^wE#@JunNTYc}l^FiHTDO@?&-&H^8G7fH83T-_1>U(QPgI zmA?GqN1`dzC@DU7K_7h~WHwF`IY9(m-=s*9o3-ziPN7S+u`5Ou-VyFz|?Fl zwY33`(i{uy`WQepBN{CaT5oJdZ|-hyEk1r3gWF-PH&HQgnz7frd~cq3URy_Ovy9lc zTNO0VAZ$%${;>Pe|tZ)a)ow`rxOq#`- zMoL&=1TeZeILr=7cb<+AbK1fyE-C4G8hQHWNd65uIXQS>G)U>TXHNM)c)l@<(sB`3?|A1i!J}hZTSnxSW^a6A&30iE_Y9w>{x> zO4W@1Fpwz4obT6byLMA_!#x!v$rcG$DO}#3jM)F_$G`tAFZ%BsprR}0A>Twf5<+6?gv|cD*!-QVmRggt{?~i2KNUK_sU|*9C+{Wo>hr8BR|FX`bPMrWOejP*6}%?s}ldvBaZYUy&PY!14thr4~E*I)qos_L_oJ%z0Ll(1Dk_3JH=C_4fWxCehE<5?0#o44nb&3e^FIO;dI0kA znGE7JF%|m3)uwy1#Gp%&2C$a>(dvsR8u1TB7lSdk7=(#Ibc%}vgaMp}2NSj2sy&9A zr|!bH_057Qe$^>?<+cyxvZm#a^IpPvwErlm;t~=<{&mOT!SICK8K23fUi@i7I&hO1 z*V^6P9fat*W{Zaa&_jh?Ub;1dGo$qm>k;P}sNdX?_220D4T;k^?RL|`(5pX|-Rek~dZ+&;6sX=7^(4NOiI11yQLvACck3=DV3c=R(OAO?2th z*Cq}UlYACoim_kPjXw?EN%`k~e0lYOHEF(%>xr<{Q)5n?7nwTx!J*n2m2 z7aNqq1ruW+K+amMwwON`BkJz8eGw3YoO?)}I)}6k{PR%>qd1C!3 z+6@D_>{(C-G6W&>)gO|e!=dZOs8#@Yy@!_d}*z+4^8ZExQF#?aF@r~si~=@?aczU4!Z}{u>&<*E*6T+W(13J z37KQkg~3d-p_j|c5Pb=?Fzj(u{dQ0DHlEeNk!OjkKZIa4y1@rf$5l^Qclq2N=!4B{ zY;v7IN!B`JheVEmJn0Fiz z&yr`@>2BZXZfBNrcNZBO8{;+^B+IxgJ-@#>kT)`71Y)GHfPhD%YnRwnGf_Z12Cf6g zZZp4shX6J=t8WKcOv2OnkxvUVS{cPog`2Q#h#Qatkm8Y&hBh{e1_cFuZ*8Rk1OdJ{ z2|i?z;IThghl8Udg4^^=4Q&+=lLAQu5ebRmVzc`#N;{&HC^djpGbb(JUDx%s2N$j- z)2lY0yTcAtS~|eolSCo|m{i!|PuNxkT&WZHJVnS>&e5?-IZZc3#E}_bY9U}a%c`y> z0vQ9#+D27fJp|yZWYKZ}Mc@|@XmF!_dX?gHcMSzF$6MC;a!q#7L4|C^{kt1oE3DLc z3(XqxRz<}h%=R6GSLvl}xmJQHHyUr^mfRoiF7Qc7r>`uN75LM^wvh{t9M@D?PFDgl z!fLUZ95iGvG9+#n`_-c47{PpyIlc{7!G8WsP-n|Q$3PJ6KNRji7L4!uFH7gAWW6UmOE(T2wV^lrkOQ0YNu#_LdjtL z*^TMC+HF29%jVs}uKTH5_{|YLhEmef0e-~qWi`gl_{k)^gmGvk*gc4j`LL}1s8H{H z0O~>@nUjrOv)A`NBL+|)ycJ&bIS7d%eoqnI+r^d}R$7vk1^<7?1imYfm5~YDvhR-t zHtwqi({!yRNc@JO_}w;jYe4gpUs%`)=Imd;&lx8yoHrv1K>rzAn#9nU4$SuKaybyr z`2rYlraG<OD-jdGIM9iLnht5y$q6)w15(O z%E9r%+?)mIOJrl^CJGp@1yitrUbST_t{)e?h&*_a>>odR%I0cH8$)V=0ymOI zo}jTb>GQz44$q6vBxGc0(Q<*n_3qQeIg9PFe5FRVOnu0pp-!WY+4y{N{qXQC&P zw8G=eV&Z>Q_vQakzu)^KQOP!>jVMG#3$m0oMp7tC$d;ibGm(mrNW2(I(xM`X7AZtR z)-Xg#QbM+pB_-JlN#E<%`~CiYzwggq@cF4nH8aoW^S;l0&ULPHo%3vHP)wy#?SuH@ zghf?;Iu>kgbl$iW+40;WhbSnuV6>82S`MSuw4%F~4?O$Qa-BeECmF1eC<~2jjp(pJ&MII@?1-W%@*@)O74iCe06LoNG*-Ixv0)O}Ig~}z=ETtSLf)=Hx6%rKL z8oD#I{p!TX=T7)j%mlbl`%jLXl~Ibt8th%dkw*LDiMMahrVPH;6G%)?H~FU1rG!;K z)Rf+Kb$IwlRre7wb#Gn)jlom3Avuh+tM~8U{}i!$coP8Cs@1DY{~r9x*IU<>Dltto z*gZBH1r6%SI}@G(B6xzkCYIjV*!fxePhM}P`&HcU_B*Fb9d*F1-hc2QFZ-0g1D(Et zkn3clS)D-enP+@j0T-M(Vc(kO!y(ELq9;`Evpo5#=u$cF?>&7I5e7alq zQfL5hQijzrbb@ARIB$Bg@u^~}>BCI=Q73lK=Cri5CnK-a>)yOMy;Eyq_KZ`y(5QIL z2)3+iX&KXN>i5z;*ZKK{l~uL1b13k!w{G4%Wjmk6a;J!@tp7azgY%`t5*9SZpROz! z=xli~e3vukWNpW*n_9iXYCI!9uXcRjHi?d2*cVrLcsMVk2ujWGm+3Y86ur`~^6>Nb zM68xfa=^WG74gM!e%7)J@qD_re8_v#jr$XeS1OeWz8deG z1(y!q+M8izV{5zON_Aax^9%2qonMY^ei^GgU*_UGh_RKGl`(ZeP;+7Q?Qbo)Q3D5W ziPPCVW3x86eho~NHV-QCmQvBo5*vt%PkdV!aq_{Uo8wtK=H~zMEgVVs&c`Sb=(k}o zv#6S0uhlFkniCFs0SDu8$*C-wQAiuVoRVP^`mqhLV{`*%??@a zV!!&vuib*pk=;Hn6Tdd7i@CPtE}b8tU3ur@w$v$S6`9tqb_LwKdac}05###^G>4sV z<>gSMuM}=hwUmRC%skwo3+tPlht1YO#Z|?P7e4p-T$qV-@B?85|ySsT0)l0!TyNV7pg5)#UA zZ`+JhlnkJBIOCT`f$&5uSrh>E%4Nq}SNJWs@T53t&hkZWe}rroYMuG|mOrF@QoJK!s9SGQG0=rn-f|ZTj+wc- z-s`1S%^&2AyZAGKp4CZvKCr>PRQ!6;N^0PgtFlQ=e8@NUqQR^sfhCp7UlxB4Rr;t= z(4&pL0}^q}wxNoM{DY)NN<+gAzK|9WluJ8VuCK?T81qN<YC_TXfmUL+TehT}-2AbzG1#-ag`M45 zWW?d(!MDq|@Q1NGC;@6ex-U0Rclhl8RCA6p>N(}#<5GF$$2kG(Wnqo2eZ3MCgM`wz z%k(SP=Z!v+x%j;9X<%TOk<3vs?SR%hd*l2*g8)8<^702jw!NcY`@qjX!y|N4KBAW8 zZLxcIo~y28zWA-WrilY)E-rVmjgn0nzM68e4!%4Lfs+CiWkXeh9*{0GCH%Yz8mb)q0GvkdUw2QM9nAjmsNWPofA><{Dljrf#vh3 zB_iFeO--rOKXRYaL20PL@A94Gi#G|Ys@m3jY%_fL#*G_w?wIBIm`UcpIh5NLiY11| zo?tpi$%Hk93@No4n|%A0%R2sJ(PGg z_K&K6hU1VN9!VKKD(&pHl&gxl8N zjRrCBl)-ZZfCP^J8aWdYkpZP|6H|o{M}>vg;d3>ZMB}A-LIrpcbAWc4nMwLd3$cP~ zp4)Q9ts=w>sXEBs@R^14oK%^}coO~ECEEtc7I(HyB-9P5HrYI=I`>bFZK2)RZEw$q zc1hGz#Xy^*m@lF!G_Q={-iDLR#=`20JGH`*Aa#H{D#@zVI?4Qg zfHb(X6Nj;2G57DUIlEMu2Z|68O`dr(*m>qRYDwu8Wf%LOol7IRp(p&O!l?uPUUHt3 z<54HaKJgqzaYe`BKX%}C-xy@ddOLQ^$4I42|H3z84JD22KlOC=)5QqwdeOa~n<5^J58z#^`Ikaij@D zbqL2*wH0mkT>`4l+)IdE}P;aSTE`rEhj7|95O z#fFanqq$kT7{LS4ii7g%`X=_B?=*)Vl;M27WmaZ*^;s65s|*_x(WDrDfT+STw`J(1 zQtgIR-)m?SLFa~$cfqoup`m-JskCj|s`hIqXJiN>>4&;b7`;e^q~W5jzFyjo_lS}T z(}dZSp2jHf9_}(E1*g$%^?ZPc~V1J>$4xxx73tj1#Dm z*46#@p_aBN4;<}|NQsS&O|ToEc1C0bSNFASUU-#xL`1|cE2}Wr+Gu}uz_XU2)u#FB z=e!S1PfhSLgbw7kWP-AkmXq@*(aw?fgfXpHy-Lg;*TcN55b5HtK|DkS~nzjAS_r=KKMR?R>oIX6!>1DEdcluw5nD5!Mr>eR-7!JC6tlh6~Ev1A=8gMf6y2%f) zL;2VS5+_5zr7NTogo!NNc6y%i`& zr8m!6^MZ8Wyiy-vi3hXXbpV>tq!S8thSFnS4rHdoKb4peWR`0FYz>CjL;73X<}fSW zPJwvBJ7%l>QcVaP?n^IlRJ^tekq{}t8S!wIU&%g2`f%5CXu#D1`A%>^Ui@(wW^Jqi zuL_>F6lN_cISY{R0uP|$`krsD(>DSp55j(UZm?K>lBj|G`Z-VuE!eY+9xhn@#8LJ$ zZ{y8y<1zAkh@Ok0gAN^332GcX)*epQo*s%KeJ|_|9UyjidRi2X)^)TggW94T-fOLJ zIUynH=FR0-(ykuKg&<4_D4(*yqg{h=+oxqEC5JVcP1mQg>COc*e4FF>(Yv)_X(Wu5 zV0sISOTC$XUBLocGc7Kdw{u4PA6C`pK}}}Bx&BxmtMse))6=(FTVKV;IY36dE#IR@kC1O$J+@g(SdGR$bhy55YU<6R_jg8V6Lm|5cfU>D zEkUX;+CsH2$H()X>W`JR&vV*-$1E{3lZuJ3qpt4GS?>XcqAy+yMuIi@E}BzP(hAgr zY~W_LB|HXdC4=8$=j?%KHC}xYf)AWEx)~~Gka{;2MYl3E*WecvpiHu`u(-KXBH-aR zTD|a;{aXRA>-M&pPF(ERId~#4X#Ds-ioy5N(#GO4xG7NmmXKB(G$@dyR9P9Pj7D<^ z!x}x^$V5hVeuds)_(aro_Kt4TGETFUf?CevB z<)|8d;-8)2lh@$hCWgCt8Scl@M9jIkxaRWk2x(kXBUin$H{iMD6;>~I2CO+O6tVBX zRU?_(w{Pn_cqh4P)m(fUcC!ey5|td@fRO&!U;oLAo-?eBFz{`3Fp*Q+6ibA3o^&5V z3-Gwt)87p62s9X7@fuV>aPj3C4SZf+UMv*XfK`y)(4_b9G6PQI7p>EX$8koZ*At&1 zNy~>0k!VAB*g9v8E>64mKzrne-`|fTF_*j`PflI85)%Mcix?K73dTzIW){AHbWQ>C z1#9_*gcljF-aCC7{L>6WVAhl|!I8uGo>=FaZlh3<(Qp(RTZylIGpGYHH_3JD_@Np= zaz~B6y&+@b2}r@=Z?R`KiSeU(g&U3`Aj|1R8`?@a!6uQzX6Ge|vqU zmwcN`LC;c`tR*1C0`l-_m|~{K2Q8phF%;GpX!7H?2}ECigWi&NR2GWZ=UI$(NsWDk zkbt!h4jyK{f5ZioBp|$Nj?a$zFt5jq_wU~$!@X_!Kmi>;a4-NOi76@JqytqWG^oa) zAJR(Vf}m-G7=MMI*u(u<@6TVpOoZxKR+3(W8br`YG8mBy6Oagf=O&`bO^x2b%hbAm z%ib0$n|+GcJ{~N*h~y32)$qs&RZQ&c-(WR4rnQSY>PNbeBLKQE$ujzbljF!1`1cV#}OYGS;C^#XV@q`2dTHaw>T!__gGtkxDjRv` zwuN>l)Fhb=X#5NV83N7()l_EK7kGjVCQkOp4{xwV=LsE@n8<+{P2_-i1pczEgB;X% z!3TDaGw71V!KIYT+bcxOg;XFXAdwGH!{^JLDQb$L} zJ{jbcm`YiO_zoBAmK{r|hizt9ZUX?P9EN7SSH-0Yr=ab3z83aF_9nfuaOGDi47_}q z#n3DP??>x0hCNXV+Rgz2P?(MRddSMK1~}3rHm9ZSw;nkn5iq_2wVShugW<#*u0FEYP8dc+>w{;GlrNfv!Z+)z<|;e4#roc~HNJdCjNhsMQK z*1sFt*9$gzaYH_6DYQ^vUkSDKqPjY7CWMIBX80z`)uz`8Y+T9*x%`~qQcTR83tCzs z)ifEhso`D<)fYWk>n&_-UU;X?FK7#>5iviKXE*99O(k&^C1hw7(AQffH-sabdz}vT zFKHor{pL+s7Gs=VVFAa4cmodfJVGbe{DmNurF+21leEF!ei?{`U3>RNDL6kPZ1cSq zB%s$meR6vI_;H3kC-Qj|8t1{6;LwAqQ%bE+z!~1-3 zPjeW+_BUcKT?)b7cifG0*G26KZGr3kFv$UEQu>udi*mLNcCgD63*>_$hUfH@FZk+5 zXnr>YODA0sTJxb<85RjS({hm5l=C-koFmG8v=p3{l?o))M|3}Pf(EZJR&AS&ok2>r zlQ?2#(`|We?GGN!%1E~WDZ4&@mO@;_+zZg)`>my-czAiszqb`&r+JZD`(vTWxtLWF zns%{%X--3fB_KIil1cx9yP$Cx4T2vQoS{&t+TgP5TS-wDETj1O9>Tiu9tRs6(DpyG)5G)cK%47RV9@pR|&w z#8DySeD-W>sPgbqI29tbe+_1TiINLIMFimQ)LdL-^+qO~460W&1B3Z-6_?4W#|(+c zt(@14LU9@hLmdC-Rd}Hx#tQ%v)ZC3^X+#`olD>V*eut3}I>qh+>6xW$wldmnWi=w8 zHta@bBcI~n94wo^{$sR(cqzb5I0(83oIrmuT(XYOw$ZyEEJP{XN65>L?SQ#(ml-x` zpmueTm318fVa~Ekx_58x&kupx--~`a05(QTII?A^FkTM#kp8Q9ha)rW=D*!ymI|}!qi}z$NwOY9f;e4ZI)Oo!G*k_MQQiqu z+!egIX*T2F!BUCo!8sHi6O(gIbic%V_gHdws|G|CEz(P|Afjvngd{Lcq6zd47Pcq5 zKlYuQJ{pV3OoP8P97-RO^72Nbt~7B~Oi>|?&QM}tdR3Ph7+L90ytbe=NJg8Jqw-Lr z;29}rJ^0H~;3Sh20?9ifZL|O${k&=}1HldO0<;Jzo-&#HtfgiR0swW!A8+SCkKYsO z!{W*NAH!KyiwKZB#_ma*F$r&P6_g=64y%FX0l7r_VWQkM2DgQ>wOQL_SS-0*Pq$Lr#?S4B(SJArkpX{h- z46WQr*YAWj(x39d9~~|m}Vr_Ib>~Y$=cA^4Xv$b_x_n| zyx`FYD*%&(n{p0`?o(W{ea8+3q;F&g7r|Y3eGg5`%Uc2zMUj4= zz6Y@I&YdktA}|^VXGRyh1Plm4yuX>3m$Jng5qND+$dWL`#{!9nG#xgx0s~uu+uW~o zy;q*WT<_o=9z7BQ+)ApH96o4hXz1$UQHfj&chW11TF{XLY?*FvV>os6!lM2Q!+{R= z%k|6HpW8tPnlx_SvcLG|y>b{kNSV>F96SmF!7Kop$iEa@)rbL{#Q^PzI#oj%N51*)M0 zXPl_As;V<2VDN`ffMoZ2?y|HbCNDH|Hn_P_q@6WW$EM9b6;zXkeMM7UVt?%ahrkdq zkl(;t&yNddrS~U>iI@E=Wdq9nT8>Iwx)!^^(|av6F2H5wNZIU$y-q~HAPe7q_%nUn z2orfRSF&QHRy(TE;e;_+Sx}CuzJRM>%@hKs{pob$|H9K)3WrbaCk84AhXRe>l@>u3 zi_dnBmCApJ2RP*Uj7Ch>&N$M&9T4^}yDNtDQak|$#qx{dixY)pk8}2Z`Py91+mNV7Q z=%_Vo)_|}nyR!p;TbCvdhxlBCFOKD1g9=}Nb9Plt%|GmpQ}_gwgMwmW-+nNJqd#Y( zK@o~KGCfS(uXjZuhGI;OnRLy;b_

E>=q%P3F5Q;uVs+>r}P`oPl2pAEC zi`KHEb+K_tmTXJ*qeqH}LVLkLfVF)}y2LQ}B*boACHNY8ZVO5C++mI>s(f+D&B}1G zP}+ib<)DChK$VmmT8+GJKbrJOQu1GCpC5u`l#n2;_a63g_y-{}Ai={Hyb>}0OK}~k z&Sq7enEJHnsi5X8sxLU?WYI&!7ZL7U-TUR*AYurRx*?(bPx0~agcp{6TdYrL+7;5K zMX@gQ$*gAokI)NzfMFbyhCl#dqp8UD@(^&7MGrQ8{rVNM$OU8yi|aOTfPtlyWQK+Rhyn&SY!nu9vRl~6c>Qy{Ch z+^QoSEJoUtLFx1ogOJ)3kMVwL37;e~~5+HIE{iBii+q7?TtL4H*~&HgwufEtMoHBrg6c zV=J-GO=Gv|N4*MM6tAH^GYjYqTo!wgQ0IwV(|7{>j!n@niYQ zm0V*NZJXh+kC6mOHGXE)?8j*4MHG^nF(h(@bF1phtie4q&pQsHRq`Z50eHQ*Vk5uoi! z7yW~42JhPS>np(`lc6Fg6KqsbA&LrW9UoBjv7*ql zWU?j|NPA2j9QY~N8|V`tcx2i3$Y5DMR4OsG6J`5t8m+t`KuX>FR2($$Sou}5BRG4T z>>toE=022n$!X+;zg->sCSRO`d>OntpicftcLJSGYOsGuVPU(guk6KbO}sb<4a`g~ zhZ~8mMo7(nMDJ@(kJs=eQ}LdDJ(^$qh?DZ>?OW4byH3FnYWYlXJ*}t%P3gB#T1d-i z7`wcT$XHgb0!NykT#1=!lB6<|!eIX}@3(J@!DZXWk93PIPF8(Oy zhpmGlc#PssR3S=`9B=-k1??CJD^_?oRrOLxCY>#?Gt`^RfB|cOBA>#(DnT)|!>0&& zRaHSQ2mF*YG61%}>B;Z8D$MbYA~yhX3gwy+H?lQUw@}WdSDjyRI+;K=W2+pdeWquD z7^i4}_3E*I@$yI&OFsVKY!~9%fWF~6DU5=tQ_irO>3v{DmvY8)0;B-@W?@;((%Wm5b}s|GpPQGq?%A%@PU@$XsmoPLj&Dx*?3z;AGO)44akGF&5&cCndCO7N3A@*w zPn~3(-gQimN0p|HKU1NKdYy>&vijJqT|1=tO6*3#&GMD}FsB)qXN3GI!=` zXVeDchtzD=Q4U)V`RWN5yFZ;gz{NYM`Qn^-CB~F^PIX!d3U>`{v4rO#&GvEz{Ro43AJ zEBM9R#H+=0Q8(3xB~1Z;7PTbo4M|IWXqq(vO)+ssv-;JteOKK0b#y+r@!qJ@$;dB% z%Int+pQsz?i}#_Mt}Gtzc=`7yFC5S|4V_p&#r1(V_S_iPPI?G0Wm4+M9)*~*^U9tw zVjSyY);}y({tCSviR#VkPKK8GR-2yi7IbP{^f5)^O|!u1N~irp^T&-}Kh0!3mt;=A zQI!(i+lQ9}(cU!tfulwWB7nO)j>#IroMuP$06l8=~KbU9w5M9l54)kT+kULn>S uU7m@_q96k>fDeDnyiVwU>tCPz5x694E^+&?fd<~mNHNqmp{46Op8h|FR&Kli literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/neural_net.png b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/neural_net.png new file mode 100644 index 0000000000000000000000000000000000000000..87f9d825fec7c04d0d1acac5dc566c952dbb6d94 GIT binary patch literal 24861 zcmbrmWn5Hk`!6qNhsC@A;7K<L@a$6=z)!Kh-$(o~5jWo#OX`FV`CB4a?>(N-WC_`zRdIg;jk;a8tKA{tbD z<;e#-XU?k;pUW#|D*D{^ynK&H!shqsz*Vwi4YQ+y-_i=;M;0ykp@Iv3eth+aLeJtAD#~(t?rto%O_WSTI?4|{TohJ8-1maJiam0WgI}!S*(bzd zP=;QE?H8#&23ya`hVqc?y zQ__4hlE0^K>LP6J#sJ$$5Gyn&ve6jX{lgm7RyIPUdwj}GAn3K@uVtP6o#|dlAUTR! zK*I~!#tF7y59gZs{r!?x+kHt5kKKf0r2Euo*IRNISs%R8e1FAu^8PM=mq0(G*z(Ve zVRAvw2o1q5@$prIbszOXy0hP_+Cq9|H{G^{yqb}w$s*2im#dpw)!p6M^;^rU@E{zS z%Qe@Q`F(Pma+)o>X~$ptB2`r5-|Wo$Scsu_=qR;LwIyhO9&VB(ZXHESG54CyvidlV z(J?*hbn(r}$*qWT*(+Ws-Dznr@MZ z!B)DJ&`QdfTdv)6c$hKA$l)pG**RmZfy3H=Ur#uT_6OlGLvYR}LRB?g${fQq<1%sf zNssJH7GU@F!9T$6jOng(`*p#W~Gc)6w zb`;ibhiE4{%FZ#(7HJ;f2xrsDMyMg22Lhm_MeYdO3A@p|%s-1#^}kCr&K3Iz?g4ve zzbCJE{S zL4Lv%1s8qvAC&m@1NT&))5&bPcpc_Aa16FsU|?YD7MWri)Ms-jTR}m=tRew>Xkwz) z`@$)F8G3tevI7NC?w?3fA@}d!zdOt|dPE4Hex2T>g>9U8igj-e=eGTsH8V4-uB>c4 zUkV8h4i*;|$H&JHA!M7Yv>Y~1^9j^PW2gKshVJmpd?4B5=471LcIvp)@5cH(gm>0u zIFZ{r{Dtskh~f3pmWG9?c1dBODxPE%wWKnH5}xq}PZDCJ9fuv2l+?@Kr{1_oBNx|~ z#9Nx4ZshKC-D`O3G@PTbl{{g?qp7B*#Z0iH{lR+m@rP&i4GrU^hH1&kLf3*B!<&0e zXLD!seug)XTW)sk(I|tk$cXQ(_ok{smTU2unz4fh2iGRFLN4dKOGz+dX6@YS^fZsF z3E2$#%6IbEUhp|k(9xNn$7&YqjE;>3>SH*tu#cninXeC|B=OizHTzs8aGH;lGHZQb zNDq3U)8u)Q%N#OoXV64QatRQiHgRxB)tf1ximTOaad5lxOAL>8eD|~i&5wU); zp2nNhPY|*Sws9LQ%|+b5TQh&#Nn%gR@3az3mrC?JVL6vxR#a5f%BrAu6&_K;qC4i> zhBr61nV!F`c3PE+7Gm zI5^cdlS4y8Q3(k$5Rd()GrQ)CHLzSwO$}k%6JYc|EQE!Hm4r{!babW))C)(Jw5o=3 z>*_qt_GSw;OT)v%n>!W$2pPV4!_M_iuUsND#H92_*t%*YipJQxQ2`qUZm;U_ROf5| zT24+*Vq)UO(K^UHB6k-Eq;u3dW+K+x=ukl<{RcuR=(g9mUD80ntn~-!32jeBs9{KR z>Y+>9+1k1sPP@$-XevpefM5kt2~0J<3+C%Q=`DmPCK5zN%SkA^@R5$+`h)B)A~L`0 zN=Qh!?NYAVCg>wXlTZw9lqoUgW`PZ*sF-drK=3D$m3)Eqe)z#IFjY4szqgJ}eQ=#&^|5;G- zJ&dk%UJoxgc5IlnZ@D=obDMD-jfE1@^m6o?y_S4V!0PhwC5Ji}OM9n|tejkF8J|T~ zWo4zNfrliXWaZKWaH96-+MB8d1|k zFwp0Sr5#82$CQOYPEM}Z86nK;b-MGV_`J1vmKA9n#>sq+#%kG!*r}8YUoy&^#hX&fx|0xcDu;^u9wO0+%FDS z!@|POT|ksJ+Hwa*;d`7(o}HByT5x>vr|qes@5QRFT^-GD`wz>c%F2N-R8~F_dp%NX z_7x3HO{EogN{f zlhU}PrlEPbXbbWGJxEDMC-}gP|48g;{RkF`mY>^1AKgO@&*)v%sdb>FTp86gY+4K? z87tQ1WoQ5J^aV&Gv9n#?0fcmbK~4Ssdu&h zbegv-GAXISejfUF(_6D#PIo4e-laQ#IhG+ABBg#wD(vY3HsxNy@$&%Y-YDvh4($LD zVmwnC80saKT#90D^-{xnsuveArp^I!b8v`CjxPq>nk!7Yuv+Ft3Wn%dSy`#=<#!9A zl)@icIl0x*(9ouskU6lB#ft&+zHj1JkM8S82?hd#CKGhsnJ8;}$MFp8FUXd^u`XM#X7>r$421MH zaq;m@t90f)w~HS<#uB>R$V>;8S@f1Q%s@>IWVbKW46uFh@N=uG@c(tG4&>f{eg-^+ z^4ZTd0=sN1E)GjBJ+`#Bp9hJCx8^qmyC^#U$`%P{8MyX#~f!0?s6bi9YTrG219)P+Ha^K)3twJrw8IZnffMf;OlE9V|F6%=E&@vE~>!Y?)LWf zBEy#3g`WZ7;N`A}dB3|Gi;lAyQz znno8_*SMG%qOeY|&-*QRw|BSucT+aif6uK^IBHy$%%}VeM&Kqc{;SL+Jb@EaG1u8D z)IdzkAKVuwXEeC4w4Qrzr8i>UG^`ob{mCEEcd4*c;rZG{-A zOeNzT|13o+)442!Q;J}yd(u&UR;wA?7mv8&jg7+I^hw!^sHB2*EuGRq3$8?J+LobR z8kl?1ZVYt&Xq@CWTGQ2$S;3NvSh(M*B=u;YC&c)nrlUp_v{2*czzdOxF3y6X*O`Me zzE`{UjR#T^>X)J93d3PxOTQzXHr}8FR8&N(;%Umr1kc)~d79)6T8wCTcXV_Jq+k`F zzb)wF_Swge|6*Kb{@v%bFCtFNydp7TE}(@0Pg_)AbheMv_?|Ak!DY9obB5MCu9dM~ z<3*Z*_*l<|swjt(-CV`@`;3{}{0(xH5(qq<6Jyhgj6mA`m;9u1&+IwlV-4+>l9W=m z2tpVr*$U6~th}y>LsEoYMT@GI=tWpTEoePfRQG)dxcCJESp1p2-_`Up;AE0Sf%ydm z#H2A(Q-}ATC3l6#o}OwEjTQ*JPdhzL2`9!xY z`3dbkqNG_nHa52XeZr??zfyl#CyR^2nF(Fo1X&1rvr3Z4TK=Ob=};~{udlEF^D3Yx zF0r0^E#uic_E+n<&Uh)YE8ClOITf}|nl3sO@?5sR%8&Zn*s{%^IOnbXGLwAfp=`fO zBuojPSr#<#;mp>gnY~Fxc=;~ZXBAPSu4#FCdV(ao;ZhF@Ou|^GX3%nNK|w)Y-YGC! zx-9d^`Yo@+thW`D63U@@RgNJYpe{X}aYpo~3hUZ-#HXg-78>3>0hZv@&&`&u6o)WR z(zM$fq@fAB-PL$kXP?ZLGqP^(SYB1G9XA`Lr7gWJ)t;lyc37fgkhPO6qXbFcpiVhh zf84l^>FU<-@KjG@3r*|@$8~SUV_e^jMe927j$r`;aYsa@*zh90H3wQrXkkqgAI z^gh(Qc@vXPxjIocbaSQp_;GeY0i!7P%L53v?G)(V0(B2CF)(6cVt|jz2aizi;}bkl ziO_Ux;JfN=*XdJ%ZA84&(3+`SowuQN*&t}oVu;DD#jIp0gGm6~t-F#ljaVqwN_;{hU#X|q9^8uR*!q($V zmoTEhFQ$`b6)8dtJF`hslbf{}JEX)a;pC+gHEdN4(-)(qi6q3tIqxnI=l|MO^D-@n z&cRPS83l2>S1eka8`^T{NfkUHvHWfW}B9UKVtB+)6(t@@$o!Y zSXt!%-|&o9s{h0@Fz>8IS1dJ~Ej5mrJ6SpWyUmRPJ<v+f(?hSboW1$9!O2acWzSp$9l40X;86aTM0yu(ReWrTLzWYPKAN*@w>T zTV*4D{6Ohkm%TZyX`z83k%H^_a_jMujEszj=%G|@qApyxB)tW9l9E2Y!X|6-0sUr$ z1qJmPZdL9F#&M=p?+D$S465+w|HvQLt)~h)uVFxwu~8Gz>Yn|YPELE5Em0SRc8;gC z={WAJ?JBvE-_=hYKRi5K;c>J^Xy7i|WFrF^+;nl9^H>KsM__N9rtNZP7+7D}W#ji! zM@Z?hm#MaEogO^nbA~iT8BbCfugdUV8#|t)cCkjFQOS}%i+1@tfIVPhVt%Qh^7QiZ z11(YW@sQk>Xx}>ybq$RIxmuL3)>!u4ancx@Zt7LbFmriO$Rk$-EkTgmvHwH#RFE(u zpqG#U-0QlvY}#*29^FYzvXQ3R1E$D8KlWE zU%U18x-yMe321gu zNkO4MMFM{J`wy;GqLo1M*+Ky|cr$=>(tJ*zL(Aev z^i2l89AiFy)KdFR^Br~I3|a2Aub-DkJ*)Fo{uep8Lcs0mq5K0%*ai+u()8n`Jz4oX zkN&_Jmj{&f5*5W;Ga1W#&1Wjk{d;7R1ex{ZxczRnQ1-kMPGXlDpIgs1KVqACgLlfg zzog^_Pxp>QbaH;GRNbs61lRW^s^SXTNcZ>HT3Bp=vIL(=!)CJlVJwtVsb4i$5!0=O zlgLR`;u>6PPef1f@8376M)fE#-m;f8s6 zbGt{(Nf~T5y+)?6i|ezAjSxy`kA?mhuyA`)>i0}62Y4*#NqBg8_U4+rPPRq|2M39= zv2jp8=BTD9n%fkaZVu^(5Y*w|@~4EqxN4}>u^J#1R6ysQp`fG23(okOn7HM@$DXPJElHjKe-WzbuN4)88w`g|1di3 z`rY14-BaP?NF7oVLc%kE!Pd_1)y(@|0VMSwN1JnroQ|knr#b+mSm^w=qRYYJdG$rN z*1=12oFRmUD4G2+&$IG|8j&$6L?7zKC$&cykKJmp3tK%Oeq>`p)}X zors9Y{c=0|O(EbI|Z+OB1=H8igGTdMOk?@C0InXE_9g7CFs>~x`1yhB%xVRO*HrR_9N z)sRy0@#e+`JqwFuwvyHz57Uz_eis2M1@w<|W6Aud01TmkSkdX$K4D;B_!l(6k<<^v zu9@yH-#G)=B|uZ&I<&g0^uCfq&rbgJ>x~=5YpXy2*+k6RfnM{h2gDpIuO2b?C6DG( zrB}psMc3<2k9`aZx$*Fg>OB-VI5~B7bPT)?I@;SM#JUShn?2hwd5d&w29^)rI&>{CaAde6_!eI2FCDe}dXnx5v<`l-85SpeT zr|&0RV;(^bx!-x0h~+n&GwU|*6ZDjvm637CstTG`T2y2MP=6$PrTpifbiae+QhV_H z&7K>;7;pazpP3n6|MBqw$bR%Xib|}CxfP{K34bys%lcEcM>a!2OHOoW4Pe8rBX4W# z!YTOv`N1;4%kTPm=db6y_Kh4+@}J9s!V5eTcU@f)(QHHv1w8C$vISPdt*2s~=}a@f zvi$$(LB+e*kMy-RkE%+2igR)v#X_S~sAb5=I3%^jUx^!|QEs?!mH{02bbr3Zak&#< z*nd0UfZgsdRNG_4axyZ{)i)~u5&$wdornlI@_1q$N}2wzL}r~BCi?nhr>*Tnn=asj z_>iy%r#nD8Vq#-~x%+#U{Y7brvhzjpBvS_5C+QMUA(GlOGEt__1&v#2sHyXc&%v`o z`+ML&c#>eL{{(4R)Gp;^fTs=T4yR9DhCb(_M9qKBXI4>{pO1#@{rL}|=L-Rk$-R+O zNG7At)bw<bpX|pmd9UYxiuf4j-3UgdBu-@Op2w&-K zI&T-()a#Xi2Leji=O-()Uk@!3X<^AwmY^+63@l??9*M4g%i*yi?EnpLX@%O_v9U35 zjm~R*46LkD*-uqCN#`E*mQN5;z5@7Y6@FTWG3W?`Mo`lbn!37IAOZSx!12L$g60b} zjUQymDPR~F(&<;9e-Yh9awf=U(1YdS28Qzgp#}JaPKZ;vByJ^@^M61wMlm0-jd_xk z()J*uW25*}>^oybJhVSrwM`ghH>0U1e%!ycvK)ZziK z$T>$;S&Tj5P3Dx9q*Y*MUtb>}3pWJy=~?v6-r5U}3>r#@)=%pKA0tnyGVcTVF?3D`=GChJM1768}+NuK_fhfK|5@ zCeK?~SSTn+wz-KZ8Z1Az9Sc}8M!b9lR#5!SU$61jfbtRK8W20QY&+H+_)^`M(1gUX z^JO$j^y=IXmi}Du13JJ_to!C{{%$ij4SM~jjjtsDO=8#uu(gts9c3m1bKPb^?FzZhQz@XP`{d=(0>beK&>gvKLBdV?qK2uyXBkX7rV~U9) zez$-be3rnz=$?w`@88{H1zQc7(eQ>|bbo0C;8zB{aUWeN@Iw2^auAzM-!V0l*f%~a zJ_qFRGYM?iYHxp6IRE_-6MGBkFRP6k7Jep~pQ|Pre%SDYWN4|XW@_y0&oz;GXH zdE*AolCQ7sj?#9}S^}Kk{$pj`ySE>o>Jey8^e9u1q66*#@StVhUQwD}R*_XknjRijwKKJ9Z)LUa zk!q?9PgH;N=7T>3qJ$?IoS~(rmPOB6Be)Fk3V>QL8mzDMZ24TNG&H1uFrF#i*=j@m zU5lB8g#{Ub8mYD8z*6NE6%R%EyvCBFRGMwHuK-8sS^qVabs!CaNZC#nNz=TmwMl5S z(e{#+<)e;$O;s}$Q6D=Yp`*R~DtgMU$O&}yysCE|Eyn}~?EPFIpRjJ!H0&YjQ z+1ta%NB9w4WhLcg0dp^)IlWG$ABpb)!gxZ)1X5PLTu?ny8;|9-NiB^RZpwo z`ogz)GjVkmn2EdqX?SQTMwR1hDXB+Zsh6?Z6=wK&cq5~ui^J$9!xmhCM_5`iPEq77 z$Dc<6Ip&O6w1}f9>g=qTu8y*Mvv1@vINexV%p+D@1j^hfN%MGV5Q*GOR8#@$7XgoN z9*NsIImtLV1%qnaVbS&EZh6^OT-;0)yGUajz!HathYrQ}SlwzvCchiC-QHZiu3q{# zs{!JN35JQZoSfHctR^uD2|7ADP+EX|^VIiG z0N|t4)YS6&FWw&ZbAx`@Fb!uT_at0m*uP$X=Pd+Z6x%{zbkn7?Qzwpfw#wqmcDaHO zgi?ov+dMoa=M#xtTi z@{5ar0CWzdAeLT^(^sfzZHx5u^hCrQtlC47sjLPaRo+z*UFD{`kHlFKN6()>ubn`P zzv{CX|6AQeL%BzTW>K9p@?{lWam3tHyP$z@Rq$xo*nlqM+YdF#J7uMavF z9kfC11QMDyGXZGHqq(>0$}><^w0@esbQdmwF8yizgiXnZhT2g8yiyX9c+0=$DLGR90HKQL9_rId1z+= znxS4g{dN@15-?e99um1Kc11uNU7hYS0mdjem=bw1z$*iB5Idg{fDsOD@>DpXbI|J- zDEGsb`Qm$HBj31$&Bn6P0I#V1JvyGN#SBp-VoOo1`R^^8lx;^1$ezfy4T%|b((S0I zrmS~#mQ!9#j^JSQaZ^H2Me~5Iq%Gps7PohlNtuj-OD(Wkg#Y(Ksa2SJlyfP#zTWx0 z0~zGLf-+vX^M;GmNnGxSM9!`kP=SYZ$->8*wB+D6N>Fai(ra&;ZTUDph!za4PLh(QX&I$N*nFL$mf6~f6nCf z6U88S@3R-J1l4YEWzji!D9Ei2O(Ts;v$c>$3t97Y@;C`hEd;95dKw#Xs900`)r{bfa|MY{Io$d~bkOPE$|sdPt59Y_#v))qJT| z*-KEd&CKn_vFQ4rmQ;S6`^O-)s=nS6T&!=}7`~)cw_vtf8M78x&x~mS|p_m zYEv?@hg}hxs4qDL1)jvQ@wVIwTxyH|QHjQ0I{5r^z7j$A6ie2_LreAE*ZO=J<&lAu zj7gilttDF5{OXF~bg4D#(z-Xi=%OZ7I_3jhuq^W|;?Y{1d+f2Qs+fv0Q6t$?H&>h` zK9+JU99z4q&d$zmdw69!4@KktcTaRL$K9#`Rg|8Mjhr;*bWcIpb%&9J0t1r))Jc2O z@dfmN|9BaXULg;;mpd#2+1zt|64>VP^f{8Yu>&}z zZ17_6^)(0>2M5)TP{*G2=&LJ|hWgrc$`0c)z7)k|NAWy%43mnEnbT&Sq5zS%2m@aO$^W^p#XY-eZ|H3nn%C2qiy>3pQ)-|zqL?i_)EmmqX)6^ z=2eq6i{8@XfezEmz3>cr_{%QG1~)-a-g27##xqqFXgVWcW?x&y2V_kj8>RejE`5;7m6aWLz5?By z`9C$Q2cPxzu_`7*k0c>V@C*P@9||c!f+K2Z=mfheKIi=vBO1Tt<;nt-tYq0sDylZS z8XzVKnx0JOk)M0q#=b@0Th82DP7mMOkc*NSuGCp>W5;M?&pZ3b-hR}`-2480Hn{nZ zUX2l;^yZJ^1s(Ox!+Vf61~WUmIe@SJj1=^PiVTF<8Fo{%aQi{iB7eMh6MQIYVfh6- zkXEaqe9RhAO-`I6>8~!RqP438W4o^H?d%_GfADiZAZpW7m8j{Q7sQE-N?o7CFZTh@jLH?5QYF$ z7%?z_l@@L<-OnI{SgELAJ~58Ce4Sl)C@kik;Q*B~)pRyAR)mIqNz~#};N^kSMwb<{ z*xx64>mjtX*fvS5;H9pP&uYF@^h(G)K~ge&yM&WXpHX2)Oimu7!X|-~%$Aj&9ukd? z3l<`@f}Zv)-j%#4uClN(OcFNvyn zv8D)WmEskeb|!V6ZRaPudU2XXF^w?#{wh2DxD-)~M;1E_vUnZ9RV5wkW}j=$b}j$! zhK_lFxQ&yeqN3vJGUgMy{>KJGZOnn6qAmRz-{@s6{N4fFCboSo_bSnP)}U040cUK0 z+7#c6;lzJ>`~A2qv~%DM%spF7KyKrw#X}Ut5ooOLP7K%f?ADuo@>5d69ihR)>(LS9 zrF`z};&HpqYv+I*rIr!9cna1%b!L@Ok(Kq(BPIEb+0oAKynYCZ1}okY>>=Y)C3TnZ z(G7=SyB-#t>bOB%9}S~86}@fO=(Xl!Fkpe9{0;N$;QRD08JV{|Tj{9Eqk#9F7&^l3 z5|Ym|GU!jxQXV`Q+8jP~zZRNll zihFlCKAA_~${q?-xLVBTjp0;0N6t8YRBDI9vKlm*bTH~N*PN~%%`L%DSJ!i@+|Q=n)(i`Y_gF3_&CRV?7L}iZ@Wrc!TP8SzpLucHeKl@asIZ& z4dIER(%6~M8t8ocX#H*nZK&Q`-|2sKhEz%Jkw<6rxMD`1J%Fjrw(T=Bfqy@;x$n6VDN?Zj}(i82h#G!ktRhmY8?X)I{p{DDn zodc;NICQIcInhC0QUqcf{hvOCreZfSFa;lDvr+Qdp?ZpDmzFB^_lAdKNh)&@1Nq@& zg<;~bP8%L7z5v&;yb;1R&7mqMVYwbL#kg36({hpHj2YPOi<9U+hM#C4CV z6g|}JwU~W%BCNb*&(gb)_4!YBev5el=%2n~wB|OIl>u@elPyor{rGv#sn$S$zvNLj zN*cH4Y*oLSk+9q|v5o7cBIA;}+zD9r^g*tfS`6h^-2O$p&*410T(F%o<8+yR=?!(r zw>48qNl6d>(!gv$`9`&NwzDfMk92eRq$xptbWSf;Zha3<#zEsAvdq^oYoMayzk{)( zy-YZ!(MVLuB=9UWqUO`P?Z3?gemQf{N(~jNTdH)_J0A0$Nvh{z>VSzXSuN43(o6?U zrJr9zM^sqc7`6t8rkX|F4gx9Wh(tox89SadoyzXmuiYITWtn?60NAMIbNx$OVq`LF z4`CyVc}i~X(M1Q?^`okMf#=+-<_xiodDvnrQ{`riX&n;I*SHE|pD)$A7D6IwqR|N~ zb8M`n6iZus94Fo~u9`J?W_{!D(GN8Kj3$VySxR<%dKuPPaP0CWqey4ho$V#)GPqcn z_3N2<##)cOt*os0DkT!&(SyIHylYZ&=ov$l7@Zw!^Y{(QnQ_Gc2oY(cFTANX--f5u z|9MLt@=Pv@I13L8R0s}-#T=$;Wxta0I&oBe^Qr8DrAgvNEE}sk8 z1O)_goUEkYmWqAmDreSZo&;gFBcuaOgnPs)AHYT+1T0=9-TOnrYpTk5-t@%8gar_N z>BOp^|AA+$tgZPR2A97JCi;wyT>wHRP{wDxd|V>>Pj?EkN#VsV7%TWGtpGfPU03>d zB5kBYxY=(TYS0@dsqQ-zv_z< zK(sRKa)`y{F-*9gz%yV4DMTog)GI8ej~d@ z9W}Ls=&em5jr~_UkgceR0u%U$7Y;sCPI~&aNJG#@qhCHqO8hcY$o{?M;)GOgo16IG z6LX{Ur>QzpX*478t6%BCdok)80&X^cezBg+Z%3E!RPD);k>Cv`m}GDf``|t7judh@oA3ISac$Qb*De6O$o5(ISeX=y#O#t~ycovZ+S4Zppe< zVg@}UgUmijnS8tj%kl(uQ>xkSn1rN;c(jPc+Qabdd}>uF+sylXs8&L3tZU$qYR|P^@^%mR4=8r^B|K`F zg>tKMMtR{sikf2*DAuM;^TC;vzy? z=_wXT{P4sC5s2!e9!7ekh4ixR?}Z>s+Ek&%l_Q%cznYqUHmEPQqb(j=)>V!?FId&a zfe}xAM&6<7?lrSwwFXabxh@V9y5+1X76)wsVi)R%`sY`_a6I4m?KL@rUD@l`Y3Rz5 z%oSz{QOBMFhLMin&hKl-WoC$-P8S*kd~Woo05^pG|I(J}LHxEXRef6&e{LrlbjTgY zq|ytk2qXBPUN)9HZElGOt9EC%bWJiPdEs^JGO~JKs0eenPvX-nF=XM=3ZsGs!)B0%pYX({e!Q4xKmr;*Kuo?%)y_T& z&Gl4G@73osPRLrHAwQ(Czg>Tf-n@RDE}^9BF?e}_ren1DkgccQa|VWO-13J@QEAbr zi7@S${t4x~P7DDxdy4aZ@z%AXK`TRn-ds+zsgzc;(v%7(4L2I$PHmHj6q9K3Q<_BE zf&LnNO@r&Ave1&Mp{H(#K;<`K`5PUwK-!E#u*+54^iM#b*fxR{rdVd?X07&t^y<7-n-nIkZrSocw~%l zfRplkm93jBdBI?z=oFvuT}SXxS`@fwakpab^uHlV?(B?w18)Nfa zle^o{CNEXfNvM5ldO-o`9{vb@unut0Que}EQG1hy{_N1;6E$I8@sFP z1MeTL=c;(&->&hl@?i#j$grHU;7S#G?w=F|%)k4hiuA+x4))OcUyR5GcFV+nLMfX0}io-)E9 zqRMKP`A5f=7wu@2e7eUMD|2&CLOT47c|R~DCBm?Chx6x9NNNM*v`!ddpA+qnQQC9l zS+Zc!h^mrzHxfZXV%&z!Gc$wA4%hCI6fZf8Jn_XO@(Z28eg$EfJ{I5;6s)`TEz8P6 z)#SRD<7*|Q2F!>aqfJd+9TQ7dUqAeZ?JB^IYHC`|Di-0i|43xf24{hLv;_C4tUTBg zE%t$RjtMR&%#G1z$ABW;{{s#KAAfXD)kHw1rw#!wbb5XO2Lot8s|t+uJo$lyo(m!{ z^FOozz}`T``vuG@{B07+1Y(4h5#7LJGV}N?KrQ; z>7B@dW;%$Rz`d!w-%Nav85RH__{NL1q{Sm&EK)vf(R}{o6xDKIyBrO(1MH!*cJocs z9$PVyF)N^?*0(fxA*eAm&o+>3Iq^N6G^~W85>L|Ou!jzf5{T-Nvy&}GCC@!oOTh{F z0*ywTe@5ZtGEX0%?5E$JSGzT~ zJkx`julH-0vA}?6;JyP8zdegjY|D`^6+?MHWLY!)P!t zp#;-GTljBEHC3!X1H{g6nM6`C7uN%nU?-kPj1w>^&RgWAEw`8ZKKowJptL&P%qafR zDe#P1JyvBrQ|;RgD$_e($Md=hN5?=C`*-xeTFZ+@tvdXlzykCeTyOpaiKwxW(o$2~ z%+{YY%-^sEJ_JKqNbcw$IQ;{=8xYEtmzM(`8O-nii6B5|?Plw_DJkz!1%NMA_`t^J zw9*Y`c(3*v_HjU+ZUTnt=0$)Ihll_Set#YeFd+vLZ*P6Yx;0xaM{TF80d8yb zPAV~w5`5=E=Ie+#FoOj~rS|ss$G1;_91jd#O1v{J0pHw^3C4PnEI&L0Ta1H)!@zSh z8_Y->YXQDJJ&Rt}#3ZwKRmIxkY&Saa&T3A`^S~HXNpYqCdsG%j|9P#2JhrN;3Kj|I z4KS+>w1QxwnhbgEkc6!*E5H}ek-;K2ES%NwOxagD+mjm%fdcCmklKjx1*bZ`a1)|H z)5)kPoS9Ozd)zb4AF!i=2?*Xs!ART20i z3)l=0v4aW9J!OI=Q_FxkWF#YC!KKlkU_y>? z0~Ivr39m02fhs_7%|#$Z2m$DA0Q_M9>Y$SCD;E%gfEnWvGJqVv4{q zUv~ZYAi`fqP5F_;#EDi>6BFxcez#TQ z2IB8ta^Dln|Mu;}x<>$|TMv$MZf5Dt!zvwk&Zm`?D7U$1ECi@@dYCQqh@)#Ds?2k} z)~<6}-J5L~Ja`Q3(wMXh%^x(Ux|QAUSycPbfl7{xxDb$O*vSsrBc~6+EcfWD-Fy>`hnTzjdP^g62dbal1(}> zmiexT^aNAFf%F1L(y>;O{DT!3X-Dc%IT1oYy9map4ZL=%fQl_+8A#eFLjNF1x4tyQ zW9Q7C9z{U9>FB@@9*+WL2vUFF*C$^ERMCKf85`4ZxfTUmm$J3B1&~NpwKsxumQ^D= zldj5mj_+|Hl#j7UyZidorU~ERod8xS-3LrJQjqq5JbL(kyzJ+^i+5uR_L5WGcfyyG z4p;sl%sdlADtG|hhMXQJdJZNr`BcQ^FuzlT1RG^!VANJV?_r&4ehZX);KMckRJY=q z$xpZwme`8<`Ct&W>)j)AN$u^et>29F9LVLI`x=EdE_?S6$vqqQRxEcoAXE)*`(PsJ zjjgaiA|*^Z3P$!!`FAr&F40T+sY28*4kORs?XW=_mNmu1x>Y#Uob@2-Kx{m1R*`>Z zoRggmTpIJt*tkR{yvfREDFm^Q)zT}NQYB&FcF-M%^LkE_aixM z47uU%OToZFB*XfyudkcD&R%l78mER~J7t^>k`q*4c5mJ`54X2NOX&no^ELGh!`kfp z9VC?TDBr#P=ZRBDfYFPH&rR%AWPA<_VAww0lZ{qVIf>VP0D(y^|ed?h)$e`Tf$oJgpkLl<{pESdm^`d3`_p$i1Wmso z4d*SqLZ=uOdF%V?Jn03o%H+4*%w@&6DK5W+8q|g^@Emf934x~equ@PC(}+cJDQUR|x()Yzr@8!k}ug4=5>{n?iuHNss@ys&OOX8(80MYsyrMtT#_LoJ-@RfAJn+_6H*%( zSFX@0{ms?8C7W950z^YPI`vUEU%Wg%*l)<`@bb*56u)aWhu|z?s2|q6{7|ug- zq2!&+s(+21rlR9E^3fwp&;rtVDytnqLbh~pSR^*R`gCYv z{%x}-&K1?uLQ}6l{E^(hxC)jUi4!vKzLS&hQg&8$_D4b#ym6K`e)V{(YP**1n6gjo z3>T4#={TsD*{Dn|o@XjVVU%p@B#;-;Q$!wePvl~=qG3tf@*QH(m0*KgwsrA7oyWci z-?z!D5K*Rnw%@X?|BzCL{KsG}M)vR0f76&X-rSIM_416mwJRm=+u~TM@Y4W$+V>~r zWG81mcf_Oj_EI-il{>$~b0I4ue^yYvotJS}v}#0D)cumVgW&r>ZknEzb@=Ym(h_Vd zOj5M+^!T%=@s!Sl#-C5o%DBkHM4#VbQvkgcALj@2Jd^@*g^CC16cLusocV5(@ag33 zwIyU-qh@pM?RrUH@2_k_c3I?)FV*AcVIY#2FOYZ8kEr zwN2bO+uJ0b)HBiH55ATE+N0p^QBSjD{`VsH1Erj{F(TD--tb*i)$%UImtX2OYAs+4CMl%r>9i7oOmZmyQ zyKCj(LHXa~UK2)kQ?IZ8yx!C-BXiGn(mL#Xig8ZPix(9~8g@!ZN-mY}IB*Sm`O1G$ zo;!cO7SUnVui5Dls2LRNC~hu;SvXW1?lx#<jc{zHL*A`zNXAps(wc&wFj0~%FE6`=iE1^8!DlBdF79*Lf$+K^IE0LM z7N~HA*mM^OA3v_f!)Q*srR|j-e@4c22|GPMKiMeR%O@7>CB5GHH$)b^KK!w&ij`Vw z?&n)@y%5giU0fFW`wwy|3Pg^Kj0|?~)oQXth{P*uxyi-JiB7@5(2!^qfqs@PzCl2M zW_4@P-4^Rd!ND6tkpueq>bvd|!&PHL5TxpncU>A_DaTF2O<^YZdQ>A9~u^=@IItgI|6D+|^vD4al1 zRHz0s1@m;6K2Y4g*K>AQZJa?!3MLttldJWP)3fREsj7QE$LTNC308{eODkQ_o4VQ3 z(?fvp5neCtzg%bnLPJAu5x*S?RP+nqD(E%5Gq&EC;O=Z`X^9%h;3Xai?ibHwcBH}k zS3w)xMkpvKa&ML8gQdtFdhDS5&`i?jJ<4(38^y$d)4Z~>95-Zd*Vfe?;^G?pm^d{x zh5GBNrRB5f9VJp?@d~F;J4;;#12B-`=<}qcot%h~=gysr7QXTk9IDZ=r&}}tusGNK zz4raX_nY3&VZU?`+n~&8Ox$j- zXwXJboC@Dt$`@^8dFujS`}#^jNP>e^<0Cl?6E;uR*0v@O z=hN@H2N8+Aon1D_aXh4^DTglRz<-v*$>$TT=p8@Ni5{hJ!S_63EYx}%d2p?`oNHPR zq9!|yvb?-Jyd!Sj6yChWZax0inV~v0Zf!%ut^^qmm>uEy$bu>hvyCfy)pa`L6Cc3SS1_ltMDGXefu`#hp>&JqNFUV-GaR< z$)*n1m!Y~yV)c*NWftA7E1JPHLK1_Hcm9&jsBxm1tl)Y29?oYI414y3L`GWWcc3gH z@y&#?zE=qtmsAg)>+yDP{i~>>*ADRQb|``UCl$0f!b_gF0o^d}fM(Xvo&cUDK5>tq zsg6pJOrtq-)-B{N9VYm+7c6UzCa7{lx%~N8S0T~ekUGk*x*tNHt={d04LW>#}+p@l~U_rPo~ZPnwV=asB+nkML{)yxKu zBbK9S8aMw2)zNP_83|{7|B7hCF#pZViz#b^GF@;>^6+8N=e+p^9C%9hkdfvnZVp#KR|Vcacj+*NY|*N%efI1ux$4!K+RZ03E(SpcL$U%Ojo#R| zav;l?@D7a~81%fcERsu0H|{2Ld&#uaY3ILs<%rx0Sbdi+ zP|*=Kb|f(zX*{XS1JiC!1Y6+c`SZJAHWZ*!QBgrpPY+o$6?LZ2ltYtU>FBzLpSwFX zzI>*W^;-Nqxp?d&x+e(<#yGoTWqrU-kAd)Va}PsC4*iV5%ZT?$zS)7Fa(4moVj_)a zCV$qtj6860zP_^h5_Eu5ZEJz^2WcUyvGBY+EWxKdLD_;u?(@8xgBCaxS_3W9EpV6P;@I-^RI%M%w)ysd zJ95j&s5}1D{!FoY9f=(nzPMNwpxT@Gq(g;5G*Qo_Y``Hm7p3ov{@<0CpI`c~ znIC=YICfz49@Aap;UJ2MDmpt^w6+CkhMh~%>M1gt_Gic^tw3&7A*|d#(XFPGHq)rs zWw(l`df0hOk7At^t&U&A{{HFsHt)5sQ;{0V`}Ttx7S|H9@OzQ7r)Q<8s0e-p_C;5i z=E?hy=}DT5=%6Uj)zs9)VB6Z1y$?%CxnqVAOVF?zo8_lrmzo2`R7^~)KKjInzHFa$ zfwgE%zLlEX#@b`Lib187l{4?B6ofcGY^I%!RyWycUgR{G7se8Ew0Ib;3syP;M9^jA zqYs2TiS*5LfD8bKa)bHG@-oRwD?h5tsIuRSL)xuBt1x9J*|q|M9*BIZmQ}DZ=)S?b ztHeZ42P4bCUY@rqeYn294pu&NoL*D?<+HbEp#iJ55D7N?3<0)UTGPoytyhrJp`04O zQf499I`>m9N&watk&%n=J3GlnvvOy8dKyg!T^`0Fldn3TV!S^hac|z}vtZq~@8rk2 zhy=H+>-im8+S-UWJ2_=#WubVxlyQ-tiE5QasDqK;cQGN}DlbCND372vO1J!sd=Kdv&w53z;hXw-VQ6v$*I3zcn=p zXKhQmv$8FU4FzYy!-f&CNbvGR;~xA<0IQdm*HQJjrz5h$Su@Hm#WJFz&ASD|5)(_U zTX-7`;yODauxtC4AGLMs)-y?a@}poYRdWnR4cy#k(wfkdfVMn|ot+&;vBzSMYoTpd z>P21&yYA71bkp~k@|T&JDuuUy>BgXL)6ORgGZya zsHkYx)1RM6aUjgNIX-J6x~;qxAu#Ca`rG9fTQE%POV*thUN5sK}-Y3##fL>qC0lrz=3#m z*MSQ1kh6EgwarB6Q)Op{)%c!HKc4F*elFU!jwK9M!I-8K?GjfoQ@{L_jXJezh z3Gs)6|^N%4CrQ_qbz- z0nGxr8H#)UCS?-a9_pBy9=vQ1wRp_q$MTfV{yQ+a`_M`oY-XUCD0U7Gra(oc-w5;# z4YYjQ;db`5-$4>-bT*XVHZ~VCTjpkSIS%N)^;i_ptzpq5LT?L zxQng>!^*_|Nw*{Odn1rxVlP4+Y%3m{r^t~ELsfVbVDq?2vTgHy3g{^+a(fs|Nlv=k z4};S<6+xdCZ7gjqtslf3EOMGq=MAF_;Os{y3(L5^)dCdfcHIo4`C~Tggjk3C!W6@?d#u z3nax|Fa%bazw3RIo=$SP{XtvFOA~N~et773)5u1A*tE&W#76ChdOkrxWiOIlXw-wc zA^5G3wmlRQkV<@?UH-9X7XJA0n^2XA&LY?D3e8px0CPbhqN4PaPMJ zJsw%tkSN#J-94UF=;f(*Pqw)FU`6sq#?#Nk#ffSDUwT@viE9t<(&kS*W*D%t4bjPs zJWx@gtt&zDCYO{{3_wZ*mKEsjCt+!6(PS3=c{u%--K347Yk`stFL(EMIXRQ4}MOzAKBCXGEkYHiF$rMKDV$&oWmSqHauO?2cR<>9$+ zsyC$ZlgiW6Gq)0#-b%@-$j>y{RhWaC^z~~|PEKDs5pz9DQ`0im)~%Z#_OU`qpqpcS z8F_ts`zT^ofX>y=QF$<}{J1-_h;j2dZAsd*fB*Tmf3TVkFpWa-=veNqKW|^D8kvRo z^1qh9fOde+$7C2b;!6ZX$yK%(3;bUU22jAS5yhs2eJ_7#O~UWu`NhSa(v3k$+n)_` za&FlTa(~)Q<1VK-4~vVpUK2HEVld6}-`WowywhLY4M!%=>gh$5o5E^!>+h5QjI98Ku!fYqU#-7>Nv3z6tqIrL(c-x{fV%LY`|)YRq zWK+3!?>!0TvLkwxm6dwrK1cVnuq@5g3C_;U;JD@cnklR}TC88@Ugrhv4?#zn5J(lv6TO3r~wrubVy5Q6MR- zIJrVbn>6H70<{15jPnGo%r$9Xqu_w9&~d01T@DeeF8BlpxlVLLb-q{hjxe0RBS^my zaGp0D34{SvT}#kAgh7-Vp^oh?S1wPKnb5cSl2AhcCEms z=f3PfDHw?}j#9wFABY2f!GApa|CcQ|#_|9E1ORpx-X;A6fT{G_fy4L3-z+WmRpL)u N&MB!YW-FNb{SW@`5%vH8 literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/pca_digits_matrix_multiplications.png b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/pca_digits_matrix_multiplications.png new file mode 100644 index 0000000000000000000000000000000000000000..a675cead5983a90307b558f7f0774d478ab6efb6 GIT binary patch literal 16739 zcmeIaWo%|W5H1#GW@e@hGt(PpW@cu7vtefD4Q!a1H_W(UW@gTYny_{aA030412nYzGw3N6C2nbjU2nZ+?4Agf`0_hUOH-T^!l~#lK zPJS?E5#P_aZW3BFyAkyL@YF;@P zo0eV}>co&YY>gbLX$sP1u-!CLz|-y`HTZ69Wf2Grh+;UJ2;njn30fJ)c@Y#Pl;Y=* zSzp=J+^;uM*y7|6VI%I|<5lF-D(KDOt{$!&?@K6KtUrAZVsE(5C zJL&(wg-UfA;rAdB@=r12Au6duR@j8hS$*fA#Ua9;Q2GMr^xcf!XV(6|cE2$438_mL zL^N9WUQFHw*y-31CUkhk)G=tBi6w;|wunGUz;u0&0$Gl}5LRdX;d|}LWcZBx)|s0P z>D6fW;NxSao!s0)I}K6Q>=r=5shRrn3IGWYH55Y@d?CLac?N7)MAfIfEFWN3{x%ZG zWO?BB`X#_;-n$Q8FaLFNgxd~OFbI3$A*&BBVGV$pSLw=Vf^Rv}$#CW%_~rXX-V0jC zo)gW-iEoD*?{xldsKweq`93`@UfS?Ub34aC;9WCWvOC$

0hs=Uvnjlzdq`v+KzE zYc?G?kXC^P@ypY3Z|h^d?UA|K!yEogPB8MGFYH%NAjTHlaY z0w~?LWg0?1Bl{>fcl9rQ3FM#2pQ5>?eZafRB>P*4!QnEJtZ>xIBX}LV(0EV z5xJkaFR{MvLU$+k6lk;y1bcdwAi9q(`d9IhZ%+Eu3A6=}sv8K09t5Y9I6aO1I>^bo z>1A1PqxUMok)431o(Eoe3yB(sAi^(rO|EQz?s_BJGVU%O;AEryFyee$uXaB-b=!y& zmr5fo)Nq>M@VOjfp0xz4s5bKaYT;s5;mCl)DZsfOJ@i2)L8fUrG}^WJR8`yYkKpj+ zUIElo_K$4I)7`IFHH)LDu22{AeDopm)TY78%8JYKa(tA zytb}7;jx8%fQe<(zC3ktU58ozyorEmTwWpEEXxxq@cwdlR%K zL|6C1sEDyytQhi9^Ovo2-m=(;u`$4G6zZ6Hfl}8~X$(o19t(mC2KFywR<(6>5DRLf zfa&Mbbh9GVX~p~~&_joN$O`-QH4!*!XA8I~G&pHIfP;9h_m{GK$Jv5Xm0T3JIK-9c zmPBCcDVufY1>-vo@(5u07rPZ#huzFvT9M)Pj^uDf9MftrsF^|bKQP_AL)TjG@XsVCUZDjQyWZOc=%-Z8eRudE!TE#B z>m^mVJMVAZvqj7ceh*P@BX7|Twl6BFCQD-teU-*{#!kWYNALhyTNGlkb%I`?#SPR8 zSlzumin9x?EE;GNa-!wYq`w$p-m`aIxa3C%>v=)P=0uR#H`#Kk=N;(OLPyv{0psg; zI$NGmstlygA=FD~e(A)iKh(*o`-Gv^j0NOde2MMy2aF~zf;$*^D|MV6YdO6H#Pk?> z))!bqacknl|MlRDi=_j%ti;r)#Kb+D8syO3;Jp;NNn^3nr=n)%!}&!gd2qslO+L}_ z$A+b^APePYNN@!t@v#CA`52=hjb6>p#!RjEU1kZ@F7L(CEIeQrJv_Ho>FW9TU8)AYKxZ8F=(qCfjV2X}ZAQd&yg^&VBE&?>z`boU@AvEo?0TOsMb?_?F>osMMe zk^V*MNd?VqHXSRYZ?S(PChTz4AMz|az?Do+(0Cwncy;g0Ac>8<-t&{@!Y*{EOq3(N zpKHCvM07oB^!x~>kpsLT-6{rDR*~!rPgjBByLfOrjwe#(IVXODv0K9 z0esk36SQVNyGqddTWOKz=HAWyU7#nY;Q<^?ZAD6SnzrcSb+UnjiJhYwvsY}zFe_rmO@?f6xsy* zfK~sUtE1q+sB6=cC^i`XJ6=S~-bx7UWyuU*S(N&FwgcA~J6pmH!TzYal$6xArnS64 z46`iDgCcq9YNp(9kFT0na?X=e^bHl77HOlj1xX zxYIw;8hhywOUM&a7dRV;SU1HYU}ffsLiKPhRP!uI`Cg}JX~8AoJVOe zdp0Qgevy%Jwm)9$S!Zw4O*;Y^--t)(L==F!l9LtbZfhu5wePd3#4=PPh4ZGbxZY)v z5g$D{|El9t+?u6&^6(Gio~jgYrGk*IlB(GRF@%Ce-fcLO{>k^Is3ya{mE15K2^%>wMeeYBVwW6-{shK7^)Q zD9FfA(Hi`d+$vS|`~)_KzB|-_Sw&_qS(V1d^0YX6SUo5axu)>l8;2W_%*E!UgQ-0l zEK5gPJz!u}7YgZ2p?)qC2cz;~nZvw;d&EW7td5MiD`sVIHpIfaTv`qidOhSs2Wf0c zMtrmup#TN&a^~>)-gz9kmjw8J)81v+oN@3tL8>j#7}4qIT)u8vanX*tuZyfpo$E(1 zXrdyajKPw@pnN{6Efdd6hkASFCh_#SB0_iQiVY|ti`pZZvVfEk(3Ca9t;lZD#rN)l zTVK%kBa|~yB2hvxabco1ja#Si8!1hinWKP`Kn)&KeivGQG{cvP`PicmFO;M;mcp8mT>2nDv6gFupw_Thht0FK*eI5HAuIkF#8Gn6{a0tXC9Rh>R zO=nF}=MHu=w-5GP^#^l`GAD(I+gqBlsSjod@y(nh8vp3Y;5C(z6ZRU?;d6d4sq*$x z)>J6Fcp|6F$yds@j!l^F46l7xn4leYpwV;h+ad#9gd0^*+(jQE?=z*{CUww-QmpFWaT4|I96EOD5D_DQT&JO&fVCY1U{nfco=?ICdKq13Z5YfQEw}_5DAMgvq4}*25$! z#kGE%5e8J$%O$AOv}FpL-xaL4S`Ue*d3M*ja(4kudNscbKjOJ>gVkn=B?)^;Y=-IX zKI$zAACuCU`ZTV7qzr4oOqw68|5eT&*~Gka-ZXCDQ&8ycEG{wQG)sI2Mr-TL_i_4- z7?ppV;+YPv0^BC|Qpo zH%S%`s*bSI1SZG(Ar@NHFbUVrBafs;6DfU~D;T6(VP^da(W zDThWfCUxqGRh+}pRcW^daOwV7ah+T{Dm=RZ$B8k-ZJFd83uTa>XJny#KavZU9jN^& zdV7v(;NCte-PZb2VQKQyXe5=>)VRCXDo=NQks_REw&DFPCvv zWF~xqGBTNRDt0HkTIaHzua$0Iovl^y=--;<-{hJJ%Rxe(t|@fnNcKOOc24+wh*aq8 zj>!Bz5^teZ+Ir9UXx8?qU>c@ob4fM07HDW0Mr?_gSHV>MdILXzM$02A<`{en?GI|v z&yOqp(>4(#<-zg;l-1{1re#fcjIY3&hARy^mCJpgnKydK1`VR_vIxIgquTrDdn35P3h(L8uc#79qnKbDm*6n6OraNj zB1-M+keUW-7gv4kF;kVn*GrH2b`=j=p);kbUwju@I5!V+6Ge&dZnw?09Hvs- zD{EJVDf&N&Wdfijk#Rwan%j=2bGT+qvQ^x2QA}$YXQ(hqy13LBy*xQ? z&SvdRjHXGeV5Ovxe6{vM%gqr^QX@~qqRy@lt|o(OEaK+jiC8TV=fsJU*nsCsn87Aa zhMr-%!hB#~NmDScYtAS9aX5vd8fol8afLt7D(ff|OcUpB{*>&`WuwcHo>F@_FKb?fTgk;vUMv}hk0ZVvq|b2TkTLU zIC<7a&azStW)TJs4$u&BeO8)ZU7dfeI&p-oP(PaFteQ4BohZdNl06xDxe5D+ zdMd-AU|Ks6YGNP4b6}*QCb+b$qSQ@~xV1SV0UR7YLfJV9%GEK7DoZb4Uy}eM_~4|S zV{0=ET2?2bGAYL>TjMYyVk7w#vAVFWDaD)x|L%W?s*b%PtTe-43bvIjneoy6$m;IF zcx^Id^Xme%y@HIPUUkp%V@+|v^}Ise9>ufzw`dcS*q&^N;1~8UZKe{D5UF%xtJ#{c zohT?8Do3-&h?;)W9BmG?OIs{}f~O|8*&8Ndzq0SGi_srWAa{61B^H=gid10^D#s! zsF-G%jJ8JeQ4V$xY#$h4mo;`8iCo>8-DMy=9ud775P3VWg^QE{iJhAi@Ab#j>=Rg? zt;z}YK5Prl(N}M!WVZW>85=z$De%39C+SXHq)Jf^)fdQF@a=BiG zd?AJbugIuN4Q1-IVi%N_UeM<7c&GtZluLQbAR#6rGZRkAu98E%Ut$-aB~%#aEX2J) zbzG!!T^10EiXJ$>ie<@Lt;Y89n`&+N(3tqTPq~$QS2Rf@G2VJQaDygq1v{7As{EtMLMbAXQ)`~n|KK$o*G6tUSer*Qww&R{$Dc3T!Ckps)NQP3C!%`n4F z1V`8(h(_E%MzY;o*xPYX5cmd*=fH~1zE@W+)A%tZg5A^9*+5)Arab;&rTYDsj0VMF zLvbO!^O<3J^}Y}IV`o)xjAyJ2<|6zpr0tkr^3ek$Y(MBYzaaM02?t|wrjkvkc3;YY zl-w6zM8s*2p`F`&RvZ2lSXZ##yuuotajK<`V#((j`a)t=hdR~MG<;7O1#3>XcFY%b zL2xzEbbr=^b z*4j(1j*8Y<)`d9yyZf10eFSkd99CF84EDogp{mY>yA*!3X zIz`)n4Bm3>_YZc=dD0cQtBcLpFEWgb=yZTIHOQ>f>oI59?1^j@S9AZQfJhrYUexTY z69393GAOO~vkNr7U`{QLB|gz{aQ%U%8Ewxx>}SkegTpLodFhE9p!f0<=y2*nGUXg ze`B)dq?H33%3&=G6|)F=5U-~8Ec(iosq3gwKSRmk!kIs64QhaBd!(7|t?n-Ts%$59 zR=8qNkzHl8ZWzM@ih5@K=Lr4mFq=oPh5G}bR{#$IEu<0KKG1`(RB=1(w+~6S;yYe> zo`iBq8<&a@=TuxY^$eMs+KbtJoF@p&i&=OpXkEU*Pc~qwy7|f454t<`GSy$`z}-bc%*wYl3rTj zIDY+5RsPjA%MwV3Ce%a^5<~MiWy~ML%PHU=LQd8n2FUIptAqogI`FxMe)s-l_|&^2 z{I~EVI-7NUyV~hE(A!U97i$n%foemVarji5RKZ*xJ^eO}=@ca7fn^yV zbM{AG3$BXUx#x$_x^K9X@OtrYGE@s^D+E01ATETJM^%3?o0)lI-yzgpETuluF*`7Y z7`efHm(p-}iv{m2>x*qVBASdx#wcCu_TykN|HVj*u&(arOc!k)j5qOb%K3dNz&_;gz;Unw>}A#vt4@~@8XGKx5h(L8;B;J)?%|CD?ZAKQTok-*tr!%$o^K-!6@$$r}D;35PsHn3e z*^X>Nh8-n{l_8A*z@d4u+GUEpnr7bJ4?U=mE4`>xO|3NUYY?N}m>m>83|EJjV?PmSi%Y7S&4|t&CA|(W#H=jT0G>vQMpVu}%R*dL zQDF%MA-~5EhDw6hZ;#9QlzmH~I;oTh8h3MlcQae;BIUsT!~Z$uva_}2$l~R&Fa$kk zvAY~wO3=tfC^kE1INM%;2(Uo-6Ax`4cox^?%_g>3Lw2G9W-0z;`{Fo)M9^IW z%1q+xAe4cDn9gJnr8yIkz3fb_ttp^lpfK3;`f@sJ%Ds#qIL8=0FhTlwOT{?h<4~*i z8x*8(lM#H*++ADlUkedyZf01Vf51rd0Vn*L#N_!J==C{M$2UwW zJf(#}>|O)@Lt_<{h&#@43!>3W;BC>34dR3p*knNd3BL z>-`f7L^#C)j)Vuau=s*KkP+g1_-Wu-*HKhOZwa1)c7{FjsEEC+V?!^xXOpw&-@@(5 zh9zEr)m5nMeaEl2!WU|i+f^qQ8EC)vx5ct$I;VhR*~!lexvui=rpn$z-IBBnAO1t? z-5;bYHZZ;TA;IThbFB)}3k07(8d|b~5TkiX6d&~UhtQj|)I}sOh2&oCAeQpmp*ur% z&wj3+tbSo{M6{BZ-N3*IV{ME?7GWDF`>yb~QczvD!Bv_{u-hIWhA{jI{FJ@ju7;5s zWPEQeCjK|c{g&jIh>tS6qmSVk^Jlugo5dQyOk|Bm1bO*qkV&kb zHh|xT;fLxw?A~9{{W@#wBxdGE;J*+PXxser#E`>v0jgwoDeUuv*O@p-)IkUk;qy@< zJz&ESWHANbNAQWQQPoXw>*0H_Luh^{TwVV4E}t1S16l&oZa!=25P;DKT;w3iIGu(Gru`v z0>AF*x)c^L^@22x>9cu6rIAo_1W~2Gf}5Gv8!t1}+c*D#?fgS8IAptTbrYVsz(D=s zl^$78ml=|=yXc8}5t)!WR&*)`XlyoO{Iait1JYO2NI%=VPLXrxjg3y-B#frIFGwt= z!F~A-wh89BGx@mQ=Hn+Y?DxWgwf!JIFej$O1=;Ic*v2umLaamj7D{`vU`m9v9k&4@ z7R+gS5bj@Jy#wO+kvEcDY4CJ^&+K)<86r*?c0 zgwjs7uTBUC?pVm=KX&)#R@Gtje87g^r{*p$NB;_z%7`&nTZ(MxF5nXaH==EKK~R3$ z`U1t@9HJB3M_}AW(Y+ru8v_EBgU1J6AL37Do#{Ms+T(OJ<4yP5T5y_hrLKl%QqoL) z-t^h0O#6e?4fpqXpq)6>jCwtx&ci$h+Q4B$$W09}MlFLr`jrWQBz5}lgy@nCgL6)R z3{{<_=!1lLxnyxcpRG&18YAoLt(VSIH-xu*dW=Q`z*k4c9CGYh%3!X5ZoRwh#Yl^gBIW&Afas$f{hX^{*0;AAWymNh=YGx(tx?rt zOrxNR{e)fZ=&FYT7U}7)!}u1hez6XyqBCpeU=~XyM$M{xz)O8J1WwV>s+&E9Yf))R zU2ZaEH@)-~11?2lXX#7YyYTOKbdICvPt?pWYXRD{MfFL^=r*rc*^-tbbBkV9lenz- z`SyNpp462<;mfc|YZS}48H6eG+u(I&S0J8vq|esboPvfx4;|ZCN7N9;W7im28bY<1 z^@5rxDKI7xnf?Hi3pzQ2fGyfFGHl*+iQ9VjS5#rvpvhy>lWpPhxG4{7V|B`OqBLup zcZBCv)V%$!G^}iy0v0tb&&76Wk*Gb(F;T2ftSb+0w`s+KOMQfN?E3|-4pZU?8q>Pq zG$RsKFipgJPnEV{$~JlqnMm@4YGov)k4#)yyKa6=F|zItLV-n`FW-MktbQc)Dtwpy zvgr@}EwIvlP*J7*pKl^I-guO;{zIqx!)8>%IH+_BBUG(y#eglj&mPNQC5Sq7XEE@XMN3DO_gdA>`OxE@4dk>)$?-aYa8iLxFmy z2?Vm>!H))hjAiDs*C%#x@(5O>WFYj++v--0-5<;*6q>LfB?tJD=cPCc*0q?as5{sG zYp&w+*R<0q(_0miUBhrfk%$x$8{B`)9n|HJU9B&r5bdPT_B}!`joOxwCrw*8*|l8c z6ID$M*^IWduh?_bbpI|CNsHmuaKQQJN2a4m1>aB92|}(oi)q?ooZ_V!Py zh-tHQBY>96Sp8iVUq8cxSb(BP!M6l9Ibj(m2`c1Hs3JAtsQVMZ7aC^ zaK2|qis`{7O#zhxwuG1PNnKJ zedz@j0?z=HXv%OU`$|G&L0B=EVgOSyH-JlfeCIQJ8IyyP>{T1uH<}FWkCALj&jBaW zCnr?V5z&At2r}}_z|0#&z?4qG#zaU*him^<9$CuDccY(cF#guYvim@nZP@$@PB~9sUoS*G)jJkn?9Onfh-h z9)?(t-|Noxb^g{O3E4a%lx`u{;P;z);8%c`uWzZRI?SI`dQFhPzO)D$M3xn_Zjr9; zZskJp$cGvz(3j(U;Qv0}jsd~{F3OHmx2QTAxD+j9aK8=* zQErg+Uwt$tQTM>`unZtq_qjqbG??y*7{AvINost!7e-CVb2v$1`e4QuCW%jTxl`>U zrNvBVNU{*}pSs2LU$|Y$p0hAbm8vk3ATn{kab8uCE^;=BO`i`$(^&+Rc}+c1T;;Ai z&`$%gg8p>0&-%N1(ZMtK_kKAL;A$r!63yWUzVXblaldK;=z+o&mVZ{0u8j?5G3~a! zAh-Q?F})|qRZ-QZ8zF){0R`_jJQ=ebLUO12)?{RbTqvDnD3r;2t1$aOJ8&Uzr>~h` zR(y8IL|_S>x-4~mJ;1222T9BnuF!`1y;^M z2hNo!OWAV?qiMog>Us_JG~o}{KbT*f(uZ%DWfsufS>A-wEd>k>F zK%P21QFQLuVyshh`OxR03qnci94y+}+KTTIQ7NH_0~x!8pi#Rq?4l!8`d+Jlm*q}? z2&2>kd3&~9pv$}S{u3ta;J!4PA)?({)J^7B7vmJh3kdO?{)Op}x+kh4M&+#i9TqYf z&~J@^;Zx@dvj)Tukugm-`MYOab^^CDJuR9p*t?6@$oLKP?J%yRlmTt;gaqeP7<^pY zXKB_~;6AvH#3ipJO|}8d_7j~v%EG+h1HQSQ{>Qcb0E_eCI;8v=&v@@(X|x6`5Y?L( z+Qg2KtLzEoeXWx3NZ+jK8#^q6{4I|&B&}aVXQB5jo@M~IEYy&V#VwJQ>28=g5Mi;K ztzIKKL);!o$hBt7m*Oex3?3k8+J}3nrekD8gaO%8DYXyO+fd2NUePaZ0s+I>4aHdt zcik#GEhxbwn0J8^^0mocY!3RMouxFElRAk|&-BMK&2jjnhe}@5Z$%y2mv(|1BhfqD zi)u)HX9$ls*$HpIC0mX5jc=w5)JOd`6%kU{ICkI6{(t)a*?EXL)dwZ>@vhNp4+4I^ zQg>I1fG`>MAP^Jhe_J`!#2V&ryGMF=IFY`kUV!80=l7C}f?C4zpREk(?G<|e`1m%Y z-=h5k;cewV!ANBK{^0)>T0EwBrl8kG&KO1dt)$rNjP}3nE|_wMlDPPMC)$6DSbQe> zf1wo8T!uiK-aiY>7MK|vj2?lv%4P1ND`6q>#SI+eXmKD+JL&$^%qME%M>@ZejPRx zO>{eR2+iN>;p)l-6t{ItnX%a{+r$B=*~6Y9mwP!%>q4}I3YJpG+z?F zgklh<%fa9{x^Ik4I#*F1_fNZePB0F7f+4H1KdXhN23jT}?XB^Gu%G&=Cu)R!%Q2w> zo$TJ*DCkC+1UGtd0f3bjb>rLs+`$6H)-BX~tH| zf-k2zpu4U4guMu#v9s5kLCixRfEAz?t21KGc$%mr}EuG-M7AkwL8NmXlUjZW5Srm){zD8Hzgqwa)e(ZT3_z2?D$;B zLp~28nDHS!TN$KeThyd7CB7>U-fRfG8idhEz+g%3LJtUAj|BpLIAY=qIO35IPb5Yw zL7ykSka0$OqtzgRANAA96Uz{|crk-9@$`S>K|wH?KILz}JGG)>!#(_*|FdOXNF-15 zi}m|x##kktU*iJ|4b4=~CY{JvTtX66M9DCFdm-h6i9C~HHC0V4*60Vsr|0=H*4~kd z*l(!SqP#}gn;71`3Y?Nr%`Yjh$@F!_i8dE3Wr3`TJ=?WpRuzrUXb(+Jj|obP>!pSV z$sEi(uWUc{?h-ixYuTIJr)VK*^6QQHLU%}(0Sd~nFKXD{B%0R?Y${nyK=8}s7Lzfp zZ_%W~4y8A5b>jU!UesfWV=^aCvtN_ks)zg@p-%sj6d#v5M(I(*!JKR*iZX9R0{uF* z)C3q)A#ZDn`7hXRss_R)kRS@8w6#VGjYbR)5ze@ChUTc($n?@uFE6v?AoaDe6-4ZP zLVCOKaA{}N`9peKp#)6Wr5~{Z9W;E$0gU#x7|A(Xd3%SaR1VtkQYA}N&6^zJ#7gE91d0M!x)pqcP1Kn2{C|IgAvGSwn$JL$JZlH5wrh5}O~buw1)d=Oeg5t=Fw zowWU3VwCwG$QEN9c>jZF^&-$FNNg*<{&YKWl)Hyt#=n_3o(uv?ma6F=C64QvE*kAf zAb;#XQpKP}ctD$c0XOf!Si&rPgaOdy8RZD+BnY(EF!=T=*wUlZd(Kl5b7aqIu^Gu_ zc=Pyx>1irIN+0x4={-~qQwrE=ZdLMthur~N%?j1+*1$k<2uJC|#=n=-Nq=9-(Yt;m1xmge5d-p(Z?P!pFZ7&;aBlcX3FwQOH~9m`<3{}%XUoT@f97?N$aL-)NtIM#uhQ8p(s9TUnN?mP$B*TI zefWQX@&rfBQ*V0z$p+4mtn${Rrd(Ky*TzHN*+yTe6n?O;dYWfHj9H@`;%eF%Zsg95 zK0Q=d5t{phwfbLR2c+0cU(MT`UZy)Wv&${H-z3P%V~sv?!^3~Q$e12DRdVUgsVc+QWBH~ISm`aj* zg=H;V+39uuI@58RG7Z|(K`lxH2D4Iu-vN6-ZGEssuaMJ8UgjPtYM4NUA>!Wsads>4 z{c;qI=L)dOl>Q)VcX#dRo&c?QoJc>r@xOA`101kA{GAD6spG|C<@iU6n;vj9e{BDx z;<|Bt>%all!v4MzjFlxVt@oCL43T?7Iiv&rv}b9Rebb)2;6y3SQWzdR%T)1S6dO|` zEV6hK{RCv+4uzA~eIU?_Chdb$M-=A6AAt)qPUu%FbLSo>m^m_MG;9Mi4@jq z16dQ>csh&t<2OjSn@mFtb23{V4Jfu=KI zhM8z=@6A5N|9K%V&86OpelALvDeGJpgc?LmUv>v#;?UjU_ z>vyY>=@-#@9(FbOusV{^YY(9CM;r?aHcSs}T!m3rFTk5}8sA0+O0GEDx#6~H$uXBn zW)N=7S(vMovo}Pmq(@!duFHBT`y8IWL{yU=EDKl7p8ax-wsRINi@G3=8&1d6bMiBx z_G>xdzOoMF?}?D#cKcH{px~qqI%M~gcCLk`{4V)P57C)79H!6<1HjEkr(_i9`3*3| zc$-J?t6UZaHRb-)ZACri_~T(i*Wu?*G!;Pb)5f|%gtu^^K>MYk36~mMVJI>z`NlnT z!N3%AW9t?Z&vPxVH9#wL>`}m*Oe&=q+uu^n$x@yKOTRWy!5(f9ezCq}F?ViIf?zB7 z16l2b-3R+HNvI&ufb0WG_YHP3y9ZHQ$4zoG1guER`9Zf6T2|;skm>es7P4MEwpM`W&=qhoE2Bi z-tXVLXTJ|u+>Z$?7VblW7vXFd2D&flLi)mj#i9nrY(f|RI~^l+#4wS@U#7*$hwvS8 zoHDtHSx%q|-+7uQE!#FD>H^dZ1bMuwFr&nsOg$7{$B4rB)&8Xa>61IluX{%Z-$~QG zJKve?=u&KPqjgfFNLkxlh7ifceX-il>4v7bNa5(8{6dm;Oe-`GzWQn%z#@vOy5-RD zso~N&5I#|(=n@SoNy~oX7}@E@Xcnc`C>-_QcV$E5v7&{lxex<0_+-*qC#EFSi04PA^c}ccb1mECn#W8kt#e}OC(f$s>lRfC%=iwI8Wj{qL z&{FI+-5uWGsRZk+G`Y83(YbI>PnK^F%rh?VfYrY1dEq@sMWU~9>ZsMsP^ewm8VLIX z*{0WmzJ?`p8e`#+v(bp$itwsj>(C?a;LET03PRG>X-?8n#S|^Qy(IRV?eA>;%(c|n zNPiydFQsZ8$5)S+e(kI+A-+&+EOQ{Hw|xFA;)IV{s)XFeb{b5~ww-HT zw@}OHCCYu18$h1wcCt3$ax-+J&FnR!YHPMfIpfSl&YwH4uM-2w+fZsI96C6XXW30) zyrfrn=%wa^A1w-%|7zj2l?jO`^C(7l+YND-Nl~q zDC^tQmn@%vXJdTCEdRJ*T3)UFM%~mJ5iq0kS6lpK43V>njiL}?Qk*F^x6n4^lc=ICSY-oqx2Ec4R5qtlE)AYGZ)TAyJRA!< zxjX_vFhk2zP+rtx2~)H6sNu!J#^Js3Kgq#FYC&x%1%f&^X$_iiM&UgcLCstssR$lkfMQE{~*CCobn%)1>qM>fll zJ&j>Q-rt5iW0pin*@PjZfA7Ez#4q}(KfeY%m$QveV?(WS4(zl%atL%mhp4beDom4= zDH8)=&{#1ST_1-_o{#sQud_(=*=}y$sorNB!6iexq79e*qiwEWJrQBH?|Gus48pN| zk&L9~FrLH`=(X-dAY<;b0DoIy$2AtE|kd%C784Wko4?Ja{lLFeDjiaaAxdh=#BB+c%i6yN$K}_!on66O~c_ z_C?VDCMh(&ZK24J1XECuk|Jhp-JQdxPHeQ*vw{BdxgAxJkwK9CM@VXOZ4l!B5mQuN zYQz_@$Nw+pOdg^R`+$FUETYv*A{v+_Wki6EuM6Cgi|GlwDs(XWm)Xc>d4zllSHaVY zi>;-B`2&3%Q6wSd9D+sx7ct;F3r!ole#eG|@;yfVpTTsQQ` zd-`znqvog_!4c^A_KVt6Njf5h1pFD&=*ty?gy}wY%(0S)zsU7bL zMzHCd??he>oXZs^&Hg6D0YndI5R(&9;kP0*Gp^uq?aG_3+vlOT%qM;`E^}v?f9zjh zNQaGu^LhgNQuEQFQhl48KYIw*1Cn*a+u%Hkb9%!F`;>b$eBLTfHHhaxSH079Fkmpr z#EsZe0oHJVW?;HZLUG%2uPpiPEGehI8|`1a#KG%{0NL;wDtV`-FcyGgM8;tPWr&AX z#lFYsWd9#BmMgKOh3(sVW~_0AzINGIkOf@Ix*n*FkT}ZSzomi`f+gPVDXJR2A&Vq$7zGa+_ORY74LP}>ZBBk$zlWEL^}~pKZMxd)=~(kN zR=6O|M@xaJ94J!A{Oj|^TY<$-99Rv1zXDGdIJh4;W5f3@%+k%{rkGr|1)ao6(ETeo z%*96rcK*#;aI(ln(3|Z$`zyBR#UXt8P%mj`> z>#y@69uUP7KG3X#Q1ribM$}7rnoZ0%(&YczeyU1IfAk?tw&91Q=Ewj+EiJhZ@a53= z15r{<&rsfHO2j#vPr*wRuW7ZvXBRp2o_(k|wQ-PoqrR~TKFVE0 zl=QYKYs{CZkWT_%^nNNtfA&`%Uuv+x?Xc zUF#zKHpJykmw#cWSqg&KurfPd!$nQ8yJ&tB^SXcG!T1Tg{NW)r9$_Dr0krE8^HEg6 z%XhnzDx7p}M*U{6A6VNZV^LH9DzVJ?YR}rU*rMel^)n6QYF2Igc$$ya;VZ?JDr(^v z)EH+SsN`jX=CS)eEnHD25H~hMtIlbB+CpADjQs_=XOwR|9YTVoDg-`mFXVbyO5U)^ z!tajtwII!kWBe9y!ur#@=J;rT8sM$H)pJ9_5=h#NQ%d}Piq zfgLJsK`8p!>%SYGUU6CuUerVc5Q`TT#j8=aBzM-qhZ7d?|LV8`?UMquU$#QD-MTJK zY?2V2E7{Sk&OHf;4UnrW*~Tr|Sm$%%&l-!*{=ud-#YjZE^6cysgqIyB?A2efl(plJ zQ$f0y{RaaDKWJD;P%Nk(4WJR6e`?}h9^pcLQS-5YFTyB!tbqvtBHTW#gdI5&i3$2~ z`r?!g>Z8{f_1qF|uz0PIxc{+`TGIh4v(23?mvZN+AE-KOo_|~EKscJc?JwL!OkzYD zQ%e1ZN77+3n;#;L4xNF3CEA$&KH~EIXmVq2J!|gu>}WSU8ae$(NBD~%oRbu#8f477 z18!>?bH9(^ZZ9ClMh!B|^{IPk2v!Fo3h0dk|z<565Os)8HMxVCrIu+h)+)|gBEkuXLtA#*BLc8Il65AZyD zudg1rSN9ZUosYWp-K(_-z;)VpGAD>zZc{|F7eiRA#tNH3UBeCp>7P7!DdW&aIrP^z zBT;@Sf6RuXzI$7`Caw<%-L(NdNsXHS$UBee62x}tzRDBk{Lnf0c1dIymtcUGrync~ zWey5SD<;0x_`ng<$_YETIV0c(Ibb%oaP@+kpclIUzYMQ;Oc7YIy z2{wO|;(PyA%`E`6SIar!pIduM%9O`BnD4rvt$+6*)~mp39ECNWk%KQgA7`RFbDRP% zGiLF361$i@^)9#tiwM@`VUE=WViXOn8>kXQ>QBRO6@(-gf|d!hAk(nCM2`y7jN@hh zIWzF#Aav0oq*2%(dCSn%5#f+P-=n$#3vWq+mzJmGf8R<*?B4!;b7nf_8LA9ZU7`i5 zWPcnyS{E+6?z2JH>bWyB8LvqicH2ZQA=_}yD#J1$UmoY< zBQU)#p=DEC*>&vd@TaUcWP*kz#IVcv0BDtIozQH3ICa?TKUexCFVU|Et&t_fcR_YQ zJ#2vr5MM2xcf^ELJOXZe>Wpip96VYY%Nq6>Zo}-`KHDA8i&I@~0SY4pqF~>0Bl2-5 zOI~wauUgg~H7wKawlvYnV^mMp?q=4GBWsKV(Yc^aX?RrQBnXnwoN)7nx(t85T%~Rc z4N2eCfhUese1~ow+6s?|IC#5aZT0Y=P2bRK@8}p9>PnwK;g@JM@VRA>s<8W^Gfu^F zj1kxEbI9k$9g3E_d8gF69>km z-s+&GH%&DPb#hAUUWOfN#|(6C|F)&a08}s~)H_tG~reRHCpEx7(WCJcP}m&R^T<0G|2;#>TBaP#;PX<6e2g3#*q$Q$HL7;j_4Ap z>+93?{R^E#!0Qh4HU18{I8@EEN~8e+vYA_==0^oss=S$P>Dm00MwOelcNyQ%)+}^B zJ}){RaTJ zS{^ZBFt9a3!V3){K@GD6&-xguK<4E~>XVI>uZA&$n?+dynjCsn7ClcZlEpL|ueJV- z-WNZbq&Yz9l^RHsVcH34zfsUZQNtw zLVDu;RM>&mjNnu#rTpGWP+xA_docSeSd}G7fJi`-~J{l2Xewip2}<1 z`-jVOp1%kSk3Y$0y?DoXfMaTV(hR*s>nBxOuY@=Ox~EC@J?$Q2k?q`p>-f%gGwE3y zCI)tz>Fo+r@j)JW*(Tr65~fi{xO(<=wKh?pXEXtxnha~1C7dmbSYvi46_;4t$P3Gr zTm!sQWU=k%y3O?CNWK$Mt%y%Oro32 zf0GqawYTOiPwr+p>vg*ce_qvYSrvMpX&kdhrGX$iSztBR$RC9>3zr<(U6U$CwrcKu z7bBeV33N1<^-UUsTO9ETb%P>;c$B9$WpVsmexFpW^f*3IP z^YO;4slhbr| zeWGv)CfZO#%IvHWb(xexh9|44J$6?T$Tc;&$CsGW#<$;ukG$U2Cn73cQJ|h(ALnfy z@_ivyy96oiLclE=nfKl609DZG=9;pkUP`t@#|6VLSLVN!OJMo$Mjg|*R zrXgC>AGU+uJI}0Q-jAj&eT%ewSBln;l@(pTd-i zfOVOHe*#g>U2H!zhg+!w5uIqidr3v@4aVQ*71Ir>0{6YMKy{-#)zMKR4+%<|o0#Dd z%Zf3nvoIkT_%B9T7YEG`LN;1;;T7?yXfDIC&mR2+W2766gGgvQnXl4enqx%a$>Eu8 z(m{&UK7yZeyF^53<^T?AmG#r%_G2jfE`BN7Hro8D*Rb=LyWO_BqK2FjY26Zq03OX} z&>E=leRj-c&2bG4S92ZJgO%(tlM2r^Nk{Xis#Tz@VUY|!u|R2(j4bk}7Eu?OYmU6* zU95d`w)2rxT@+gGufK~(PRhPxuUx-Kl2t{-ld+q)iC`(KI*t8cdXLtzyFAmaY>a;QXJwnG{aM& zE@eL%Pdd6tvyk+trz!F>SF~2e>rcOu!kj`0_+lrU)eOBz~=>pyh$z|ESqNX!F*@Wj0<4Ik(%UE8?Pl5FG$p(+6^5hSFzyhJ0k^#H%Q=Rz@mhONpk*_^dBke@<#Q|+hsI5Y};9F6AQ zU)=Q?(3p`64xS<^N5kifh%bxs%Je{IB#S%Sk`wciaM!UL`HdOA4}jR%2YNVAMwiJR z!V4U{ZlqE2Z}u_kFE-twX*?u6;{Uy5sBm>Q2A}!CID7r7w~HFSuC1+@~<_4$!`tb%vSl`{oH7Jhzt54!xDKW|V$Ip9`um2X_h#jBB+M1yRNU(0ax05+SoK z36wy$`z&;;{j)X%%}8PIy2}`igcUxv-Elg09OH-p!O1~3JQFbEhQZEwedo{Nc%1ci zc=&^1L@ul1l9y(#?p}O|+E8+`mGA5B*Y^*>JI_phQ4sN7gT{tUZxQ^>s0hTK{S{Nu zBoYW1+>E9-C0D5D`|xh#w%?YtfFP@_E|@W(c5S^<=g@0zy%sn-oalDoP zy|s}b^o;Px%-H5=f05)5^0S~`a7Z}v-gNMVHb)zZ?dy-`=Plb98%=`evWLM@1YNxk zVU#U|P!G+!xCsHqi0O+wTo6*hv29q@$dd!G-bb$C!6m7#zf) z{3*mMZV)1lF*`(!&R!SsPKGO3cWA{*M;`CxZtt_6%TGMz3EV7 z?E&$Y6WX1#Qw?g9Iy4HSVK)P8t~W#Y)^gDOFQppSCP$x-^#80mV~MTT$d#k?MCYTk%^i(d~W|kWCB-61bp*|yH3mcAEWVnNF|*5 zyk5AT%V>U&WEJ_nOl@0iT<16f0tuutk>nN!+>RH0?VAe9q(++F&61!7OQwH@_~5mY zBxJa-p0=qEy{~FzmVc~yiJzVe_79P)l8OF-g^c03*sjoL`FYWGmL{)L!b5p+K1h|{ zgquYEl`2QEj?_^T@_Xb~2u>rgh4unn_NtUanB7Ft96*2}>%Z4x(sAI$ApJT_@1n*5 z(PL@TWAU#qU_U3;ZyYdkK34qH?Fi`az)Pw*I42C%qp#8KbvD%x!+;VIR@vJUw}qG* zvJ~PVjQ!Ejy$q={CxQ-}~= zPK4AmD`yMWzv-~Idt!~b&Q+fLygRnRf7)Y4BDUJrL^#Za8WpPpMKV;V`=S1|)>2nX zeH495K@ARtRdu~|5X%Ltm~lDydcpeOdlMTQA8g(g5v)6Uj9Z$0&>qZWRtseKX{>#~ z)S~nQZItbRf5PqS^nVjgK>wxl%qzCo@JS{`n3eCWu8!4TziCdHh9e1v|;6-;caG%Bus61e=kf!lLW#huW} zR3*fmNTpN+alwerdF zL}$4^AT-a2OZa2F2!jDGf%lyI;g0OQ*-p67aBsR(-?O>s&fo(51p)B*j51+~Bm&(h zgfsW@!#?nLJL|dCQLfr&_VDL|-~A6Yh>gSeK|Z3HwuC*Z#fOWZ(2-&PmXv>n#9(-p z-3&jm1ayGhtt>^v3osjp<a`N<)R>p z<`OxFLJc8VgBf>4jgflN3<^UX$OC_^xF9S!3BC_v>9@EOB6E;KxLPWj!d8R?DwB*y zL6Y{|FofCkq=>E6zTR&f1Lwfo#B#Z<#4@NhSUgvdvyeXU-2}&jUwwznhCwsbME&4x zkj&2*QXz_cwa#}gP{glrgb1t7=9^&S+~$z#O#35y;0rEDJzBfCNGsKQ$8m(*o_*lL z;pf5N%rwYf5Dqc`x=tJ28x+|$(g8e+?{e20JI>9E#6c{?m{M59$x@l~^k-omsu?g~ zP@qOc@#3vfv(u-SVRui?RgiAjnal+iL0V0-8#R54dAwogSWLbVefO}fQZ`0J`>(y% zPYGxE0MOBazn&|8Ad*8EDIfiH6(7uA=BuD!-%$+$iRbc#OH&NxKD=YU8!8SW449@i zaB4;mg-NtaL}<5p0z4cNH5}34Tcm=brc#3Sp7nVT?YZ^FX zlD<@r8UuD8Ovr3y3fVtS;j*q9A7F4;d{L)`mq3?YM$7dR!u@y6k7j}?Y)UUhlcmSL zZ;|5au*qwXWqZ7g;rzZL>b;ITvcne?3^Lz^2wkBL6l>fX!lB6fk&hulP@hKW<*?*z zk#p6`WlNc-<&*P66tTL*g_ZD9}V}gi{&frK*3952_nPz2`#7$TmMkrj5!*rWhS$`mp+%phE%@H8h|ej z##O7edQVpWPYm;l1%d~DXj1$|<4-l%8hyQBM-Dub^UacJ8$NEFfjiJ(m9|3ApIRDS z&x&aJD9CuCFtP3KFj|d-jt9KZ0RZt5f9%Y`JIOHxA__4a7#m%{z2MtI_;TYR%DTVp zl245f^XVdP5E3Z=V-sje-hOe~y%1|x!=xy1Wp>s|=$%|(zyy83P2dcM+9u#A9w6+?n3~fJL!lQAjEiP$a`lTqwG5uy}Pmcc3(%#eqiXJ2CjL zNXOa21>607XQgMT-kzJIo)A#giuJAwU1b4dwxf0MSEqB#gPCv&QQka(5UYdl4N0JcG>;#W)@Fnz_Bf-|cFrA>T$wI}R& z@soPp?~p`!C!2|wbq`#Ts0}J}eaPre%H$=^j+swuFg(^T_;(@BbRcxxW}|3Dlgs^4 z=P}3Cx?CrHm00JmD`0ayW?<}Da48=n`S^~o_BFEn2|GsS?(>MOfpEaShbPH>zsoun ztfS+fV6;2r-OjOS&Q{K>>^U^C%Ya`#{!u+p0v7n zV`(*3qOgdonb;fQ?a?tiEDS}MmmDzpfgbV4*(1Sg_^-gbccyE1AGO_`?~%A?EO(83Ucn=15~O~`qSg)#)D{MDY7E|Oi~2KOeH&)~J24>lJ*K0X2o6kBe~S;& zp^ZL#$clW1(M$cT+VUL=2&)l#mVs-%6oBQK)e*e5q-Z=Bx`=a6{d+#??+C+?@~uDn zh(mW@!&dH5en_(=+VWM-z{`#S^Nulpk8}7bkNr2b*!)?-hMM++wjfrbd zalHE13FLH%2JQMrJ*HmMpuhc^KX0Vf!(O?SZG_I;ObNC|Fb%KR{GT|<5F7)33ccXl z*_uA(=YS>5NKldB5W@;zebPM5HaR0qNIIKkN^e8!@ITyaiX1@zp#n(q)_=SXt?};G zEuIcNohQWG`#B=8RLT5MXa@8s$W12KS;90>*BY(jgx*9iqFVTXld;v5g#%p5bgyI= zQKWX?%h@ZUw|$z&`-}T$^fufpf9Y{P68*h>r7gAssf+6Fv?Y23^}W4^q6l%qLgL<4 zgfuWFMd`-@ni6#gPL@D_SAW~ARS%TSVP#Z4UcdPynZwe6eTp*=Yga?^M1l;fHz3-{ z*y5z_JXyS7i#jPf8Sn8bsZGeCb_pvsAl42Vx85vu-jgj-B=+STSMWurmr}Ly0TF{b zL=i*W-{^2WXSB>aP1JdKL5HIsqyAj-ezhY0Dm{LgvC1R|3+A``j~2f4Muj2gKK{T0$i@JwvFx* z344Si+@R{Sy5-3dpp?4lPI3Eex;W;Zg1!-$z&0ZXFjzrvC`i+)pzJ_@mp4uEe-9C_ zW+H(^rm%RJ3B4R{7>S%I9LT*(yIk9)|4kj<#YhM6H#})udTEY9a66Tz(!i`f-5P#j z1N9%)NFN77&z1!x(Tvvr5D9fUCh06w`AS|GG=~J9>-7v>O5YsrSxq80DBs!vdI#g< zyovRz6g*gJ4zHBYowe~Ltpv9tOnEo!(8PKL>j)k6*dXL2*Fowbi=EEE;jnEv*N^?J z+anb617NRXeA=d(JoxR7msMiN;#qk=db@_@gCkuEf_aMkq$Eo^TZEIck5Baw#)>=X zhu$p1(c(zS;zEJ2Cezm`3;NZ$M1f|plZ9M`M?Se1DCuo-=1lwtFH5?9!PC;G^iwCe zD$V3wm8#1dE!@^k*uF=ctyaqMl8{Y2P)mq8IWYnDBdJheGvRG>(v-PXX3_LY_VY8_ zuMQAvQTgwNbI1T?g*NSe8E=bDfU~95tkqAmDcu}&k6KNyLt%GWH(T(@`g|2o(Q&Xt z`|J-0d~OD~jAYIk)xG*e7b`K+J~%REG<`nqy^p%uWRBy{N}eWCZ2)x*9@JZ5ItXK62lyxkUAt4sfD_+*21SA<5 zU7I^x9M@&vJtR1M+L7Waz|7E=9mhJ}PL7Y6HW4PE6&mDg=|+wUUOpUBHXBx2OcX0E zjw_CmkNAt}m$nvQCt&G-kba9Y&cM3f_t>!V$aGr;QZav%>m?yiEpRVWL5B|_yS;9% zz?s#jJDecP5b&pnc0#7rukVn5yBn=XD&I>b(7q01r%O?*^L~wpZ_3#(T^9XS-F7{H zBx8)4(hX*FzDH@CALy5-s4}v%#~`?An8*=`X~SdckVR}HU1HLtt0{elNX2rhp@N}t zFPYTb)g=D+V_1oEyPmL1FZRTh*000;noTMV7%^#$4*C_nZ}~*`%wEr<`0UtVIf5Bp zunEQsXF`#OYq9ao-9EvWV@NG4*Gl?`%XTrrx`yK)0Vks|6h6*vDjWGom~c3GV^-Jbn~JkRAU`J(`bx6MN??8cWMZ`yG5zEwK5;^-e`~# zIGta>RR9Tk%YwDoFjH$k)x5|}mY#Ff=fKmMD{yZM@1+XAiqbZf5gYz1QY-Mu3K0IU z@n=X`?*Eg6M1>$W9cCBR%V0Vtiyq4oH#JDe0OU1B0S`4Oem;gY^AN(I!xU8@(fyx4 zb@oyKt>B2`*x7tb<*!yg!-hL+NBOnn&OPLR)p4`@zjXiSa({qUP{i!!ND{Tn>3r#Z z70f^)my;nBG<2aCM?{1n{@1Xbg4Bu?ce;ZiuOA*1uF6n@rl*y`zLZWTEAijkZ$?H& z$uuft9pxfmAJ0cQ_f-&RGj`!_wvk_YlfJ|Gzx@9cJ)rM*hmE9|sAAB#5b-{FY{p1~ zHTH=q_g~L{@^wU0f@a$;#j7EMCvLx?5DUuh?4k9N5uUu0MjTVl6njBO7#h&E+oBBi z4rn=_4uRu5u4!<)cb0HjQ>@N2KnZ|RN_~%cVTAqAT_)ap+!rmb-B9K<^Hg_MylVa4 z0YgBVuEvDj`hlC#3vvJLvGR4$N>KMKSqXTJ9ffA}HwzL~gB9NP1-Cfk%Zr zoEwYOk}-mes9f9292WC5Ow4em-h#lIh$)ObGYxkPWdJ zz%mg(1PQ3o)cCBHTg!yv(8Da3QdYxO)BTwof-JE&9Fy8RHT5{QM_DeJ0-paYwy)wb zc$%Cbe6V3KNN94qY14sa4}cVty@A%U;)affR*3J}CoWTH-pdC($~{}uO?Ta;DB_}x zm57fiX)>l--JdV?x`;3ogUF;r#L6tVzQQb#q~^x=`S^9L&`q9AgPV+~!Q$tLg24{{ z=<8)dyMS+&X>}AVo{aUMLZ%=c9UW=?%*7)~VNK+&rbNV54N_zI(mxrlz)*u)Q#Oe^f?t=7U8pKQExT4ThSefV1 zDf{}mIwjX`dP-Owp*fj|e~n%SU93a6pEjT`W!QcB{Vb9gg9`dc2LsM>0KDUTMud)o zYcFje*EqfgWQIE5&ouvEmqKAdT?YS275q=CsH2(LCvv(+7g~|LQ}8(**l|MJ9zjg` z8QcQV&rgr5sDU(`|EFijub#>FC%c{;R?z)~$^>}F5hRUcStFk8m_!M{w!05HUX4q% zF+Tv%acAW>KIKd-fg`GKbxg@t4qw0w$tH8CWkcU*;r&)zX+ENLz8}9%&73wZYTr5X zJmFS8`C9t^({&XBJV5qbFqq9aM#FC@;wyK#W8utIpMIfr!uX||FMb>y5E59qMRDCl z#jfv%5;wrqAp7+a14U7YXTqJFtI?quoz zzlPwulQWY2wQaDS5BXYFRC{I>sOQ??#ZN@h&}6P;zeIjTu5bSntuP9-<}b9rmxSh5AP4sh>m%xVcKvvmO9nm87!cucr^w_}K|FTqv@OFF5{1Red9{HaaNz$#ZFVVP>h) zSsB`BFgVICySU=3_BA?}ySF=A%!Otw>+jD9>QhGFVyVu1?p!TwSr+ty@E6ko;Bj`J zed#UKCQAEGMD}>`w7z|$%=wGwMR2lN2TDC=BZE=9Nz8!ZhL1a$+ zih$K}vA@&zGt}uJ-eMO|@Z(_io?8&-GtbwGnuN=!!B(E|3z1F2M(T)Z@E1TLVsoa)hFdJ zf5Z7fK3n(qp0!=aq3JX{zF0xR%m{XJ+%7y$j?rd!yqI=sD4nAm>5crOZ=VrZ8xKol z^E$;WZ= zjCW!wkZ;sc*w5GCBoKF&pD&>7eOkpl^?MU*f1u5m^T}oyZHu9I{KD9ZTYegb8LQeH z27V8vb~dFs^w?SRC1cj3wnwZd^|Nx?mzk3zhDj!LgFyQl6=`#q4+Pa!1H~;@0ynb* z|KiqnVIy?%IPq?P7aU&3|2wuktRO}ygmImDxaa#k?UfG7qJFL}PFkY(P)pni=F@yh z06-0fUElpXdMzGfoH-)N1qjJr%2V1@3I;+ z;6T&9mJMIj#OVwS4!&0V)_A@)n7q(>2)CI|ZN3IU`6#Z{swV`ov1j1sd6Kug6Oyhk zr9a?zo;3Eo%{F*TGY$~jD8{Xk(+_0s=lkJ*@9;N84J86SFa7=ZLf=Q!U!2*VE@4#t zi(;0*aiwnx#^XPhw2aTaJoiTm16vk=?4ZFgUEyG<2^VeNX2h&3O6IR2=?nJ9dlByr z@7oTS9HT8iQq$X>zzxi!A|Q_o6Mo*}xNHj&ou5YgmCneWBINp=#3&PT)mj}zhEBPn zb@XP{Kaqt%a90^h9=kE3@TTDfK^vuny?}81Rs+9ZaubwB7&`>VB$2B^7aqEn+n47bR{?x25tCSYexvqiAh|p}IKJQ4u->1u#Hv z&ch_o;HrBsW&}|}%J!Z}C?bN}xDCv;kO3Y6_>7Ha=>mt?`~qS!j@5(9&oJ)i1_-#^ zzx*%STO67Nu~)});yGJ_>X}?|C9s1Q>pKU0H??lmmXu~1_KMTbd2!s@phzpRAXF1E zzC{=c#EXi#D1j|-;rk`czTo_v_PErZpTzj7!Pc0+zYJ%6{0{NjbsBE@u1l`m5s$Q2 zY#R9FQGrvBgWDPqXIn+f^tHpyZ_d5%E=*VEyNk}okxlyXmlx{ac{tVz=DIEiR{ck` zzrkGGp4;F~^{D?0sZcRdd)(%_GJ^0;S-ex)qZHg-w1K3`*D0sXoRDN=TcGJ9JQHHp z3?6uCfJR^3^zSogVTsg=PNzp~DLl-$cRmy{)%$PsTAVij`I9fS`lMOtZga3u;QH@t z{dEf0vgz+RS{}jg`}&B){7`$y^Ws~LEj($dG(3nt(CAATvf_fq8Rj_gUpA z&3TnD(ZzsL*I&u9Pnd)Y8qbS1gz(d_I?SKlEL1kJp&vh2x#&R9Tc4gMX8MxUS z1r9B7BW)Pmwg;mwkDIsOqBpYgU-ps$a=MLLVjI3=i*Ds{onG@&sMOI4#xh&D5Myw3 zY`?9lckPynT{gZ?&to@#+~JH1n7|qjWjveJo>VeT7k&#=KJa)L4A<=rYR|?pQH&<2 zA;Jq+5;6jf6J#CLWe=-wSCr*FkzG=(sB#3vHky9;j9K=N4T*0=HKl;k(EBlSC6^oy_$yOK#%=aCD**}p#sBDb-^6QvZD?1Frmu#t8rZ}Rn-DZ;03dNP7NncU9{mcro~I43!n1qx`v zEjkc^4DCTMy@NT{F#>;8PTz}kRnD7SYP=(@lh0}Yww?q`MHg8k#X{8aLG2|zNtnL8 zDQii-FxrAKdeR7mWQa%>>x<0htVh8@_e$OKI*=k2hjtAB6O|-F9hLtbC?|vaQmsHh z>Q>O0sd8UNrmQ}LZ}4BuIULb?9d%%L3F>xTqAUuj0_B%BA895E~ANZOZ< zNa_C8rt1AWJ0^Uxzwbgr*$lJgxiT0FT6pdNBUj5S`oR9X)=&f?^7_;L8V~z z6@#&{lD<@PjO(vbT-PMmy{U-z8@Gg8kd{P$u5j)cLq}uyK$&yNc)$?F*C%C_A)lBo zM#E2KJ3caU*|vxgbJXnos7-71BwzC94^KavImR9#_7wXfiqO?#*Vva5TjF9p%SbjYmxK@^I|9?tsS z>hc6k{T0Uj%ExS&YL$PGp$B+ZsE_7G<}#whhUe-G896%I zCN%S_uGyPSETUO+{W^+0iBUMR%GGVJjvl+6a#nxcMs0O`hhwNK1tW8@-{qs(vO=kQ zTo2mV+xqqDW(6nEUpE+#u6aZJ_8_r+cceMWF&sX{=5rUU&E|;R%1o%4E)dsvh30FnJ&&xQQB%?e!*&ZOcdTat@SQ(AZCBPuidl zUvxkR;U^Lkk`{HK-=h?TF<(TFgu!-JIc#ImOP$1h-HklMfBA(C(bRvi&=L+={ulFi a;$CWKn|~f9^j|+QgULuJidTsm|NI|4n-2Q` literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/perceptron_hyperplane.png b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/perceptron_hyperplane.png new file mode 100644 index 0000000000000000000000000000000000000000..696fcd83d20005b4000b9007ea5641c4733d7a35 GIT binary patch literal 31532 zcmX_o1z1&G)ApvjLrOxVk?wAg?gj~IDQT200TGmtlJS7AzK8Kch6TUL&vD-eU*KFMUTPvEBQLJ0 ztb!l0U8QwhH5@HnJxt$PKpNI=uC5ku%>&0!AczurDJ8Dyx$q~=%22a!wr}*!N=WV# z9BfU^63Q&IkFBIV%LZ9EN`Jy%Dt_E3uk0y%$+ccdL&#it;lNCvg^wVu=^Z;#<#RD| zV&-flz?gP&cNEy_;ULKA;p<^JGDH=pE`|*+9&=kU29F#_i97%YUILH(!Aph^c%h`n zl1rl%5J<+(8n;G$6aC?X^tgl3ze|7IBh|3KJ2GJIr@d*m%=j1r?k@2J~Wl2Z&$I{(gURLOq;4bfn zVvrV1+hT@kuy9NBe=B|Mdv`W_u+)r%fI#ff;&rmw9gg?=_wTc_&B3p%7l$jaYLhrj zJA+a1Xz}Ykwnox)9dO`%+PH2;6?A)PUE1p+^5Ik)56Wg+X2SpE5G~ zT=cGtr>f*J3;uN+I~ow5$ARHuoxPHxBH7cYVC`iJGqrX)5E~~a zClAm0#f9J5uGZ)`;TJDnl$MmxDkjFn$LA{4IV=ghd-twV_h*S-wcTtP4AjL2zS#e4 zsLajX*dEX3rfYLz#%@Tr6nPK zyeNb`oz8Zr!>}lLczE1hT;Tlw{P|-unKuuv#l?r)lTrQBI_6ne|BMVuEG(=_T_MXM zq7aG972oqedLAAgoSfAvB3IA3xHRk8Sy&t{kJe^pW)cz-s;x#5{afE%_+IbiH_5wy z4@3a>&&$gLLLJ|TGzA3S>DvB&T4JJZU^r@qdLgaKH)g^}gSt1wL`2BY z-fTGqyIHWv_f&qD&Czr$XsOxb;cp*>pzF4Yt*yZ8AJ|5{FdcU{7ou0|ctF&=y!9!( zj=MbWhs!>HfAypZdJu+7mA`6dInWh;cmBs_xusE;*zX-zOtNb4rj-S_}%~f z{+)`7O8o2n#^BeuiQyDpk3VxjZpxXemzS3xp9hwJQZ~3vYTNBaupT^l0K0BR&7x4;CFZS_27X)Bahj* zMfc+4`T6-Z*I>en6gJbq`>hx%$@lNyzjblZP*-25cWeh*Qe~)6sL5kJW-^(l#2CK| zw2ll@)}vH5nq1GoV5QyfRrdIwrRLfG{+F4m)?CRv_6tMlqN2RKIxJsT+I&*fo2*8^ zjid=`$OHA-UR(Q|l+@3r=;`TcW|p-!{Hob~cw*vsJX;nu#0+SmQIjjfcd1ZjgSwBS zTj_!x%Gu-0`ZWdSeV^hcy1S)5%f%%ny=2fTo(4)35D*~HJYD|k0hoGYV`Ens*6ci; zh{$qh=dYiQF8ZbC#~Xu$goKXEE#oxquCDK|PYd-+wF@<+$?Xz%z@mJvj%m8scpaDV zQA481g(oafQ-+PJUWd!)3V0l(s?rbr_>mDe0;GGi`h90-ho7H62oXcS#u}%sT?=_Y z(kL$M(^J9w<3U!0FW{UU?{BYYbhhb~Q=L3KW^F=iYtMi>Xfnq8mKPWAO&9C9Jo_>v2GR)8b4XatU@9#|kz==j~AslwO;eNL;9Ti_ng`hn=Zff|9o($mu;;0rP) zFEeVM$$5$A=jT_dUA$7}-eZ*jNp(D6N8NTR}m=CE?LT_TS*K7LD5A{nl1tsvNQ8#KgoXQr_fN8Wt87 z;N)3YM*8~;8$MqFpE&~l&6McX)zyiJhycYvV960}tgHlH*+N1>!kL!Q-xSt}8WGA< zOv)ln07mkV^D_1{93x$)R69R6x2L;^x+(jjgqtRrct)zq`rL%low$VU8uY@%L!0D>xY5sPE$P z@9);u*5AK=RaIAmgDbpYo}Tp<@V)&jD%3}gYLbzW*<4>QF>Y;I-)INA_UqR#*N48|-h?|Zw4eTK zDzdV&BI)S~33<(Hsi~;z+wSt05$~YFZHalq5>Nk9tH*m35$G+ zrn;`qvQifWgPFTHx#z&=gJ_C^f^t2;^z7L$uwwaKbxLgH5DA_X3<%hqVT)&FnSg?l zlCayZ=2|uJv(Ivhii%*j>7ssZKz+YB`kro&gODE?9X&cUWZ3L(KcBuZGXs3Fu%Mv9 z1E+w1{?=P_E34Uh#}&u+J03c^Fw;bxa^s~Yw_@hm-Kj#nu&((!`xKdMe&1V9F)@FK zo70_1pfOjg-{Is7H5rA0my&w6GnN^YmiCBva?}eYG8^7qIKb5U9<2uGm-29M;3C5d zDC`o8`rZPK4Gap3m)}qky_>2um$kCmie`X=4KP{%@fm2vA#g^(y`3%s{6j%b&Jx?7 zz+xouc3qAqMHoozal=inFN>!c@gp81Xj%}O>ZNYinsctYjlKQwniGp*gVWXV#ur9v zLc8nJ9W+AbvD!6UTwGV-cL4XP2cVM+=`s@v3J8?x*Y2h`wv7u$+=3_xA|F9y50iEY zk+647TW-0F5<4enGw?xG7K7xXzHe-8ujj4OF(^a~AG8{*$Dc7V6?>oUwtAgd0!#w2 zIW7x1Iv%$9+(h)4v9gwfbHo=(Su?Vqt5{q89%NSO36^5s`;p-aCr>4P87LetFE0Qo zclL1zIy$q?zk9iDr+y3#F|)HfPZg*&eZv56LYFs(?OKdlK+gbjlKn(hxF^bRrY}T( z2#gFkS8iTj(f5}XB2oGITL7bQ1Gwel;_~FlR}f-hp_E|}m(3x7BT2ceS65e^0N#O3 z7WTPz1%E?FN2j1L7=reM2m?lhCAXnQm(x<;O&*YSF|=_oFw zn9Q{UkZ-w8`8SEoIiLq+G_F7?Kp-(NFnE;XtM)cN-kHw6-Ek!~;7w{88?U|xAptL- z&{prZH`CbA;OXU+l$dyWuq62G8SJZN#^BY!Wn}gI4^dHWZf;7-$~^4s)F59a>GS8c zogIMr8J$p0^k;KftZ)51td@_Pu|kn>Sp}% z=6s)&-sU7TkiHIAdUg}Q^h^zD5?#mMmz=Pwp zU4E6=fb)ajfB`S!UXQt&Dmi$;jzjvtU*|Zy@x_DUuo-TXAgp`SvU%J7jyMT*T(LiMEmh`o9kj$c<=DTr-8$;i5H6 zZ!Q1ZR8gqis5&7zhMH|6M)pq`&$%a`62l*JQT2LN+ZwwO(Uo_sO%^_}_P-Z+>UhdR zdH;K}utk12&4rC#h+!*oWF!)?;h6u=u2=fMO~k|Jp3Y@oTI6?KlFgJcd}~c!)ZS{A zeiURO`g7E?QM&YRsLH3duPZGS7rpZWZGF4`eU3oc`u$9*q_{J2mE#T9T~ioZigeL~ zaQ0(PtVxM3>9G`keKz4@XMVp%oVFlnFcl{#`|qao6K~^J$Wa>4p4GlmSahRaNDTMn z-riJuJT%5&!Ou2mpWv+qr`yr(xiig!c6mx+{)weZ%`Qnv$M{dn*+9?2WxCB%!@Z=b z?tHPwdorl};&|TI*@lPjme)5qfU;b`a@$WeNEi7VZu9KaP z@b8XfKoK4U@is5m%Ix8)?adbj^gq~M<7GbX;63wbtcxWDx_5l?joU>p+BMfkm0s;? z=D$-AAp<&b!_G7+%t`R}LS=7mzNctLh~%*{@B=9e>tVh%=`2)Di{c*dKTSaSFpzlo zBrdu5_NsbQLr^F3=s(eGg(qaT8~HV!Ekq(tGvCrZ-asz?bKHyc!zZ_tjOMxqH}R4N z#3y$4FZ9>C_Hb};4jci7o3FBn^qmDjPf1D1ty#N7H=qYoJjQk;{wNN{z)|$&k7d3A z`xBxI{Su7$ac^q?@tmC4AnRKFckgaYyF!T%_9t=&0gk8~qC!?5Rx7BrV_gq<_$g9m zpKVKgUme;X^bJ5{Zik<9{rxC|#DSFDXg-&tg=wVsY#DmB7!P`Fn#(^ifUgIkhhT2| z@bGYRlgFgPzoLSTIS?E^FMX~o+;2q3_Sn?yIqn{pomE0NDN@K^Ri0^$gE77cxCQ{z z>*@~8iUC5a&}B9^|9!GGI-0`E%E3|9q1N{Af?|@BN$~K3Xb8k(2BawNt2L+xUzji1 zE5UQ`-2?am2M1UDZV%+KXyoMNp$iZMkTSqK5S!DgSgn3qLW1@xJq1O2$KxetXJ^M; z2$n`m<*b)(-|WJ}Wn;RMchmky_jk?O@4}qQFv&1Xf&)EyW#zisTAE;Zcz8B+a~qp* z8eH)h#xT?Ehb6DOy&hx(yzizItfR?z_tl&IL5j4^Z#M=Wv+SEjfJdQ3kiS=&_qqR> z`@ZHBERmU>{wfMBH<(gxpIR&H_T2i1AFDc2O;NqOC#eQb{YY}wmtJy_FVTO*C4mZ~ z)l+LcA;bJkKc#?JTM)h`I#|Eitv3l=P{s@gDQo+j*Pa$0>2J7K?r*eJKJq;JvYax! zuT&{6^z?jXy4HgYfD1#|9(b#%{cs^97cip@xwt#l=YTB;(y!AR<)Z=^{X2d%{%zN{e*mV ze7i-4>aE@PzqR3`<(_Uo`mfGlq4R@L;df07|M#?Y`YF+LPj7*oywLwi!!Pi6)h3yD zYGSVLT>XyDlF=OBKlc(NfZ3(GvRKY*7*WBELzc8QJ<<v+;s7WVfdf0E0`CiSobg_Qw^qJ@B5Q{_n@} zlU29t+ph0TN9iCOeV8Qq?@X*~hR*j`>tFT#PXQcX4t*KDK*Rj-za>#RHj*XW-nC~k zVpQAIEIMKRw*k2{+02ORGsIp_?(T$&;7xv|MkbYHDJAo)2}z|Hn}y+0TmKJ=a*R-6xX0I3m7K>R=zB^lv1p&a-6^em|j6CM(;pFroGIH{cf`X!4 zA+N8mkB;r}8e3Q(dAtu&y>SlaPj5jGD$Xiq+M_ST>9x!rGNY6>5T96N_Fdx8z1g_J76j?NFD%ANmP(9C+{JZB{wGrosTE%~dO&h<^jYgIIu zC;8l(9&!Q854+*{`T1*aP~gRF3G)N-2-7_Wo>e$VrNDr_hEApO*^!9Hpi1RUFbfj6 zpW=i*lz9Eq9kpN@%Ta!O{E+{-6IWIFi={|opZmrnJ}bcB5$5DlP%`ToKHX^b@H5)R-m%Hv(BR+a zr=HVWh;3l)Vw=ndW{8@up?!?Qx;{#O<-2fnb6+NescZ-EiR~92dYfMSF(D*IB<#S~ z7`kMXKP|0^*MARa8DFY^odeHpyKBe1gt6-cAwbX%f7szXz*!p}cc+NMM6t$!Ete6HBbwvWMr{~XGr`Iz1?#i3icyUNM zwA5sXjehHPViivr%XY*V;0E?IeNp|f*VtA)`d(Jo!hz^Ms=ruDzDy$70?-dPx!Ea# z*7AE^E+xM1Hwqy(aJlmFTwU)5hhFz0d%#v@-`+t zE9-CYBAH8d=%e>%k-faXXi6%*Ty-tat23)X0k_0hr?O)IF}g8b_eG9T6fPkQ#p{rn zIv8r_JQCEo#9(rSqd#$+^xtL45Smgno5*#+LNI+iw47v{piS-{qeN46sAFxg8(P?> zek-&;`dkrIB72WuJ5Mz+NA!To33O5dr!&5vVwp*(ucq@MGMQtCG?>{p+ zids&{xtp(vV?`438aNmn6lcsrKer#gV4INSs>M^Xk<<`1eI2GCD#ljv0heYwEJ?3A zhLIaBIut}j_fk3$(Q-6fIIxeUx4pP>0YBGZi%VQI3V8x7Kf;}vL#UdV5!pw*v7gg@ zua6m*R6I52*)PidAdja;6Lv^q?FzhpTI43J8XiF4!xTfLrL4M6AhrciR zg^h0Cx3F=!8X*dPEn>Q5f!;&JkWX{Ck`(m-Bi4kEnATN&A=QoSKo#xnCkp}T1D+sp zODIP2KpPu_Nty~?*x!#r6AMB<67cQN6;Rg##~i1Oh;z~L^{J@M$44`aVf3Mj z+?%8eMk0I|D=GJX2}cPTn$-nV><@a|y7BqvjcL=wAJA)&7hLlX&%-O)W+FY!LYlckuYJ%447{`|1mY|ep+U~z$&3P4XV{;4hlRrE1>~@c;SdFT0%C&_G`bz%p%e#VL;!oH}S+bniXs>%=fU*ilXq9-7U z6QIX2+?T*&f4VfW&-jR+_}pZgnmLtB$A}I6q0z_C!0Nxn;vqMa6PzOU)OvKa2P;Uu zij!Rw#|$>=E`Wi?42v)kcPP9TV#2=2*Fk-?+X2?AuoYr_sfo9zb!A`Gu258skr?6X z@SI3+99&j?B;;`HUZ@VJg7d$F3x?B_l+F&n%zviwEIwT1cI%V{qkS)IO%x|CY&Q=( zuU-9|C*~M z)B6>2yvdk~hWrDu=MqeuV=DGwplMpQ9b;8d7-bhqiI}I5>ZV(E|0i`b`ED2Xi(*vy zowYFM!O>vizkKi7tXHy$fp1nNFUl0cX2J18`{g)zI6ND8ETCnGP)1sCu<`0l?yCga ztxCkUl$l--Pt)AZln|0J(wNsT%aQl_7>6-IJmHo;3d~rlZqJ8_;51P(5Z#=p@);0* zoWl%A5`4~9eek^P=l>_$smgMR7sH9DyRy;+or1({RGQ-aN@92pW1%JiJaviRXrLk( z&%K8-Z{328Oj)#DlY!T2{j6fSj;-Igq|;P8f85gq`to6_^$UF(PJKsD&tUM^=fRS* zna2`1!<;voo}=c5hK8Ve4cZLLpe_j-FeC>}plt`5yv>i-O#}fG8>fgW`8u7rPy2Iw zkWfYCVL-!?x3xlWlp$G2Opus3|8+>iG!1WfO- zai%gm>=ACMn6<+hzcp8%dJ{K@xeUfIi_R;2e~)KTRY=R;PUisQ#zynTPW~gR*J}b9 zM11SbSreB-I9MIZ!*gms`Tyer^pJ-CO6j8VFb2Upr)dCGmcjKD`q1+WU^BYs&xwFH z4(74WvblE3XmsRdwqSm+h-dRie#x*O_Xe7NX9ow-k8&2`WJEFN#`klWPN8&gAlc`A z*A_W?2Wu_n)vWpuPckLmVHfRX_Yi!OV7Q^efC>A^%ooBDz2`ss;a7e zpRQ(tPA)DyTwID@wcmplzJA@C@GBUI3s@r%F-;DZ)!ZjBnvO$>k6SxGgVAlR*x4d* zRSNG`M^MIOHt$Z(&7hi$32SqzR@ux=c~Y~wPuMWA>=>H$Xk5Jhw(QwV$nl|iemhsM z>a&yQBkp?NaeqHb{}I;7So$^SV5R*PFB@pvl44^YnSSjb9)8Mh)(v`4pvHenDl8-f zs*Rx2vk7PluG?dsvRBvF-v2Jp$C@FqAIl3kcU#jTuPOKUf;*1ovPZVyINrxsDv?UE zf=~rp@wquNF>{YKAhF;sfBXpIj*||LatV>ni5zN=<(obCspqWu8r6c?Jd_l0nKd~g zVdZVtpu}y|?t2HS4@pT$0A~Au((;Y5WT`e5Xm`D8_g#5^qU3ConwAFA`_hsKW3%PS zNlvzk<6h3fYlirzaEvs8Z5@YtNwJLu=NL-+`YkEg&{2oAfP&DdSf>`(B$8${i0w7q z=7ae|agFH_{?izpb-8-g;%-<4Wd2AU&o&p4+XdU+ZH)A11gEQrSm0c`pnUPyTCFJggZ+Wu+{a!=exurx6 z%JJX0XIO?Tpkcn-TdS_2q2Qd!5Yg;$cn|99z?j`VJdpfBT^)3|U^~EpMuRT9c^@Wb z7&SiX-R*5r*EX>Qhgj8j6Mik?0&?KQkgxHle|U=Lwq=Av4oqh2l6)A0YlvLq9X1$6 zb~L^%b_}seta4TdmN9pCJPihhZj2_VjCZj##t;A!QR-nWbSijNTjZz_@?S^xcR1>G z@Gwbd`^5%!>}uCXa^V2WMdUq5Ao@TzfFD#uSle$oY^MrHW~IEN7xa8TZQi1DJv8A5 zerK+ZLeO}0*P2GuaQ+y?j3UHJH!HA%7?MqZZ_LYSkA?`)UI% zVT{2`i55OED>bMLWpM|Mq^;+jE-usu3GDWQ+;vhZlpDG(2@~FlY^D;;?)#vDEW;q| zb^IFimF=1hBbJp2MuHG>KIpY^Sv3Z<=Mffs+$^C@KoZ%tAJtPE>Rdo*y3vB5V@XO; zsQ`?YZ@Eea#p=3*mkHYN#OjY_kVhcX+&ElL{b=m>anG^PyJ~DEH+LrU0g=J2hx~RV zWIaGuiW<$Q)e(rU?mD$JCl`_wa+%KixEf7z;N`TDq9l+h;Dr@lQr{|`_`2P0`>bW(L&3qbx86v%WB zsL~uo4Pxl)0gNp8WagA)s#kb_4U4?e+N(dD;JAEaYG<~QSM2aVCbZzNIlxpkgnb4- z4*!fKnmusf1IulGLZ(4q6P7b5oXBYnO4d6pjmh-LAx9_LXDmo(L?J1|Wl{Lk1ZE-D zpY+*1mw>eI@1MbT&;=_n`&zAk6|W*md=9Zx?1AtenwW#W^h!!>GA!s^X<4`FHJla_ zPPLM5s=Q3*%>7%I_YZe-JeYZleYI{?-Qa25F-VoVC8THSg_?kw^Wz6S9UW5Xd0CUW z0gT{-qNDGYM4_h?-?Mgsj~U04j`zPpc=r_wn>z&>4gpD z6BHZ}U+VRXJBQe24Ok4w+0$@Hb8M-C>P@)HtPI)>PZxNk+h?Tk^(DC-KvNO*9L{Z; zDq0O{WF0<*$q-}kNBp>j`^}(@OUT1k2=DC!)Cp?>qXo;BfqB`Xa=dGg1;JqRsB*8r z$f07TtjO?%rN@#MXE=LDbkWXfDkC(q%(~$5D8$+?NRpwLPeI{CpG)s^IeP&`;3k0+ z30%GKnpfbku<9}*Biu4wu)WbGcEVpBO+NIv3;I}u#uSWAo7pB<%ccly7AHfLzVOd) zU}@@CnK4c+7$e>^Ug!T-84-SYJ=J47NyJOa{-_^GLS&-8LWk4|rm%2u4|_9oA{ z%yF%=131KVJKPZ?+ffE{ez@@+`|-}gjXT90_)*k9xAQNtyEVyh`t|2Ou%pwuEZx;Ra4v)YR_1I(}Q(qWaVlfOtl=dOOFM}4E+jyYk=IBF5rf$ zq^(N+yxpIcqkJF_N|s~PlUAIKZ*=EoTHn!xwE>mK_!ZK)2LjRx5@?Dl&Q?4{ZZeD* zJ{u7tbXvr%9=;qlMeZ7VT5oLMblf?j>Gax?E*cSJ`Z>u1U0+}M&NrSkSI&UIurOzW zWbM1Yb>cTtEbdFLI12;i+A<2lMEr(=k!1s%{%D9Q$_jOPGB zXmqN;LlMbeGhiTjhT&9{FIpMC=)1C9TYg-2EZHwJcb~*<_M=SGj+Ho~jl_Vd2gNNi}N??G;z1jc$0U}zhrK636pt*AdIww^(@$}WE2>GsC@4r_M zOW|)p_AazM*n=q9LN#qbuF0t7;7}%$J$_RMXf4-c}oSZTF)%Q0t0nZKaC~g2dF)cN9Op&G^ZjrpCT>Xjxl#)I% z;b2lRn?sb$XsCg|`rgE6v=}i##b1hua+Amh^w(cA<6!1#qD(Axybjz&iGK>4jS@Vi=HUy9CzvCI2E9$QkEVQ< z9hbQSxTl~DDkCiosHH>m^Nj%SSyw%?l~BUh63$U{@EvBO+w_AO#QlKdUoa*vgnbIv z$yy_(Q7Vqsf{AFBnMoWgUWJ>e3!$(%$214zMVnUkc3>|>{9!Zi9_dZ;DBBo<`oHo=p3)sp0L2XyT z{Y&vGRG$0cXHU)kVpR%3y(>IvOKol z0YCGx8~*q2U+b#(j_+oe$AaOkj|D!ztygm}|5D$84M9|IR_kD)PWzYqESgPdiCn90 zG`*b2i?|(MbPudJ-ix_a*Wnk`b(G0UnIk{MdT6VQX7U$D?8;;#24*58V?;z!lBpXg zD1?Hd=y;6X=*p>sL$z;C3O}$<+Zv%;pg@4<3YeU!oL0(!Lj{Q$KL}zREH`D}ERJFad-4o><%+^Jy;2Z|Hx+N?$?^37Ky&5hU?Z2d} zU()5qt@^dL2vBBbCLnmAB@borxH8lXAUwG|#1RX(H4fUeUlznSzrT+ zJuPt!drWh@#Y!*sPdabyyDo7Lxc_(6S#8DN+EgOtOZR8P@*AeI6DXZkeSMZ zJ=w-^Pa+bMLN$sGn!|+t*G~mnTvXPbD&BADAg?(U`Jx}=LFf?D$M?&Qv~2nOW4Jn7 zn-`RUBAR9xiiQ}q*hd0E&(4;b)TNL+!q93ID&xGqj8{h7#2<=dK@kFk z*q&dF?A@@|`fi+J#HW&&$9^zekRdiYVk`}FLWcGe6mNP;hn{&ha}leRDa@s0{oi(h zQxaZtO>TRDc>3kbmonp4#&~(+P@G6-s(#q`fRYbvB8p~uSXN*B8K$jXzD#14-iu`gMnaNn&w#!n)JEh)4k)Ms9yLNfAP;!wG~zi#*xYE*TD;_Q+<`} z6{!4KPRVgsPU6JZk@T;JgMKb?SG?wCnX<^qnFw-hubPgVSkNRS?|BV6FgNPD$5}9C zH*MSg3;t7^Gm;?F03`c%^Qr1%7 zNXsWst?}4_nDX}GbKO>b`}QqJs+H44qAVHD@$|R?t3KKs@PI;MU&x1cy2D8?2}R!V zQ=E?H@yyg6_9(kZwa++$LoJp4it`v%Q{guVY`p@VQth@+a@OhF9`g#LSR|+b(D>x! zkQWN#7>&mcg$?6T$p-7Pw7;$?-F(?3z%yq{#ymC`tF~>aB=Qu*|4Yc2ON{sZS{p~L zp;(yrTl>|y^#{dVJ>IM{YZX~TI=Djn^!9kCC_uX6v6~s{>9N>fs102NRK7&^$I6s| z`yZmGPmN?b{d%U?*Te<;YQMUQ=;THlZ`PU8n92S62ZEJgBpokL*)n zp^dk9Q+#~XBE z!EjoCNaX!3u#$;Zd8mSsepO_;#>h0c4CPe zhPjqIh53CHbS9u8S2oxMSQ{{_pgI7k;b5Ww-X9zlzo1~d-LF?Y2m822&Z$H#$Sd{CR&ykTv~LX#CVG-92I4C zbOS}7dd;A~b-c9XlEVHgUA&6%Rdd(}|H+RZLh(AYdG0kgks{DKIB2s_Iu5n&R$}u} z=3OumdU6!D&TKjI^U*>*C3kCtT=!-$paf>UW8l?x7V(Ul-F;Tj0Aa1WXX6Fk6AB7Y zth$4JB*t-(D7m}Wg@i~?&-s7GSL0N-p{XIYp5e%-l6b<4lx#58we|EpC2fY#D-;Y; zO2dplxH=(b5Pr;wDC4$@Zto#}r!_OdDYStxkQ2Z|P!M?39FT!UWeAWR4*NIMUJbi$ zQVE77A71bM5UT{4TL3azNc7A~1E$=(#y%$}UjtUJOcV)>n5O0wlIwAeI~TewB?8}Wt=Zz%A66x3OVFg}-jFdX}>*wB+}T}I0G zaI|s*Q87(ON>=u9;_1)_26L-^#TQ`9bnW6ta{w&(uPjEpU>ae6 zUl>fvyo{vdBGQ#&6 z?F~{)Iz0nIGft(DB50d9Bk0mfaS_AA1-#5DghTrj7f1I7$}=GiykMw!D(>5IdCvl2 z!}cZV-YV(VQjsJBWYb7;bu;{kY0jb@Jmv*51+*J>cl(`CHC-jdQOo1c`&)w zu7u6d>IpJbXSLU6(9!1VKo4z$%m3#CTr$j`-VS@jh?A@6_@GUiVLkC7o|)55>~w~d zttYqiv@SLIU2hK)h<;%dR>!HI(kUgM0{$+Tbb2I)2gm3$U};gxb*gDLwR?K4;{8sN z?k5T(@j+;`i_}K=OY-awYWD|hkzB@@^qk|#jBuD__1Ce5Z#)L5vt9;cn{i<*_rA2? zu!40$wTULdf5Nb&nk{I`BJ}baw5dWn0R)o#xnG&_j2^28mxzdnocvR3*#;|CYUq^f zi}l;MCr<*1V9Gh^Sz+SgnsM0mAv<$bJx zJjM9Lh_N5a#dJtPiPI}T(LJ2de`ajV5wz@k=8uAi?kD{lJ_Psaq<>HhP78C#4tM^B zG$82PL1dCfEcgN`g~ZEjDZzCj-3BEY}zQ$uYP~=2PO*ewUnjnpH`OWkWYK zg0TEdB2L&TdzdmJG0g~EIFx!r*5ufK%{n=<;$Y%MwTzjRkNsyeLqk9MetwqZbM!Yd z?kDjQiO(WZmmh4dYhPgN)_oIdTovD+{p$O}uhpV;I}5O{4C2B(a&mKPt;e%~AG{W~ zF)yI-gQyVCW5aw54h7mF# z#+V0%c#pyj(;wG}Tx-&bQxIeV$4*PjWNRku$wukkljKzCe{wN}X~ce;U$(gV_D6`( ztma!I9Cf&kD${myrF&7#C$eU$uineHUKTamZwXFIEsA8&&Z26_1bF!KbH0d@|EFVL+bE9$$f{dgF9-%{!PqnHl7136w#mf zj-HQ3w$j?aSmmn>Ga+UL@q6lm2zpVHc*GYP`SiKbXFonugX$!o_v!X$YFU6dJi%BR zmtO9LuQjEI!hItq<0@ak293!)96RhP91cu90{b@%Nb_2UrsQ!nRmiL@(xR!P*CyzZ zwi!)!x8*~K_G#n~7vK&}g~FbGo6|DsW*zgkp2X-QuQ)U5DAFn>7kOV`$CZNF)3;Z7ZTQy`;v0rWI0`1%{O=Pb0zR0u`a1}nk7ijr?7F17RgrX%EZ%7_i zp|^6F_5#~(Ii z83>z<*q@*)Vz}>=lzP%$bn@k<@x0<*8~cim-2Nn0ep$B%p-e5>umBk@g?w1@$Tr*y z_aj{)lx&I5T*bK{Fa7zhMnWS)2!9xa%V-Kw->s3S@`Yfi1&m*fz1BL)ifGRaMyqNS ziwCW~zt1`kjo;WRd9KM&`V)y=&7_6HG23+>A{^29RuD`(YZh>~(! zR*?{|Gf${oT_CN1O!L0`4RtPl&O21vJpHj27A$S~ArH%!5>2pDLayc@NwmW?9Gb$KgYB=LMsY+#J4 zYY#s8>y=D?Vd#+nuK1|LnY$z-8N#t7jnbD4TTtN=lrG&VMfjw!Q~!cUX5-1pJ7cv~ zk0SWU4bZq!77@mY8_Ue>0dC$suYtKc?BvpR8~7Mp!c26FnxQSGzE9UPq{HgX3_X=v z+2co^UMHSjLf_4H(da07npvXMw`((nf$ioOZr7DE2SGBoMG) zf5BfFR6%B_^9cU{bo8>7J{BYS!!ul>Vdm^Dtijhf1W_;>_LMS|+mgBjq#^;P+Xu~R zdn_XL9Geu$2h%uRe!g5-tnlLZE!s@eUoVziZ5FYkG(0v;!9X@17?9?+Bc$s7{(TMb z^JHSD;X?{!6(4kFrUH#K8m!0KyJ72uk8ZGiu~ywEgH>tk3&!x@JR^A^ukW@&P8}$a zKV1{Osj0YggAaXRrqD#?UXLd2Wz%HP$+7_WmCNDhB^Z|jGo^9rl|();#YFN91#pG8 z%n+4?W9JDy(hHmiIjv~_ewY}T5B|s>uE;yt6Ayc<;1Y<4x}>?0ky|47DvBfyS`}0L z`1lmcjM;NGp0fguq(jZ#q)c%?uNV#6FAw5zlouM!3>JT=XlN`z-6UHk3OBN6ZEX$o z-N1R~3dw0teq`i(}rHG6DrJBPie(EXYLnJ&l^r?M?sh1AtogSH()UQQq+ z$98#UtXj&PJ;SlbDx40QBf1^@S8iMVX{lu6rgJPP?3#zDf1XEqv! z*9{-w+ui7*9fV@Z?hs3Lf=Y=D%>R!Ia6={kiCY-3(^=at&8CaAz+5s(R37N=0=!jt z+g!4(JIO6cI<>~-^X5MHFMRhdA4AZMs+Zv%fBZgz67x~ZhjA&NpP9R2hM{l1y&C&H zSHk}7(_o8%$>k{Ov)z|N8|{t^IRh$TZb#cod3-R-4}+DGcFNY=`h--$!`HTxapIiU zS!YGT5mDTLlgiiOaL{npAYd+&#`>`b~ZX$U^#pII{*b8elaPlJU;Ap#f_B|7EgVO?He z1hM_$es6uf24E9VtFF=4`i_g4cUzWmi{%fslbTNR>pZe|hi&GHzF($?QW*NAj$5Nd zN+Z8-JwucD5unwF`z&_R)qdRE(5emFr8M;Y7s9Q^^|du;uun9!$cOtIM=-Gr=8Ui~ zF&{_%<4;*Lw{T&hfN|oJ+dz%C|0u#wyZp4xe^JLCq@kO*%o)kJDk=;aPI=_Ylxi_e z!&0|3md-oE*eNoL91U*%t)+W#5Q+VkIBzPph=Ychq@R>g%T%_>tWEy&=TAVofK0$# z1{j|LEL|kX!{cIg)dWx$zl?L7Mw7DE8%Eaf;yIAc&Mb|i+pAM&#QBcDap)ZMa2{_I z8d)vB@u}T80fTNkqAb_G?XMU#V4<(0+?8DSoStxuQa#hDJ($}zwfa#qa1f|{?9FpJ zR;nx!!WSy4zs1LUIQ-tr#42KE@8NKeUw}a&d3pE5!1DfTZ>wFH@1bFxUu8qWTiw$3 zebX9Yt-Q<4+#MEQyhPsZUYHPQ%hsx=#eRGDevp4?G9r7fG7QXsfH}S4fdP4XeD|FR z1PJ_x0O6lXN-oQ^rd zI-f&Q+xy^ZavS+PKLPV8l6M9FpD&B3I9RVjZ`vzrI1ktN`|*xE-?Mb#<5PV*k`yw` z`qo`_e3M@ozl*d*;rDltZ)koXA*?6z$>R_r=t6@Ly(ZXhwjnS&HvU>}BV)>X*4VRc z%fZz}Fn0gEa-DmTJ zDgbu4M2TxRFyJLK8>3qM4>$@R+7;3SuY&nhZ}=r;zoD?B;vVoP6LwS_B9yNUPHL_GHz7;(JtY4>pdyd`?G6~9WV z5?|%PQVR1VP{JX^uiZmi|GkX6KBfh|g>|#9L)VtiIn0IQ?2nnACH`ke@#m#-N7A>S zSI~P?OG&)MVi?y}WdABC3vW2<`YE0Nnd~IQP-i)keox5sY70Gbn2;C^qCEb)*Gxx2 zD@B_$%c<3`rE~Gnw^>1;j*vY(%bGLIR{!bp2_4qfLz8U*hBv~sRnK@UYu(aO^Ve^Q z<8AHlvS*YjZjlF7-nYM*D=!bs<~OXH5jf5PKmXhx7lJ4$C8l*d=yFri=@z5YhcQ?|Agru}|clX`C z_x}IB`EfX$nwdR&ueD~a^*m2)ZS6ZI%i1|2G(_TLjINVxoaouV9_dzW5&C}&JSw9N zd6ZVXFT0rQ^AwF}ZBtsB3=y;+W?nyXIY#Z8$I16>Rk0p*Jk_p*^gE7H8;F0K!4Quj z+F)yBU-IzOS}WZso63-O$bhHF5K*hvJWz)Rd4KP_3mbsh2ILSQ_U~~1f}{EI;|EA7 z;)gvOjJMK9JU`&S&!)BidUvlFf6SwJPsu{@0;W#y@F`{BOb-se$q!AXE3@6fR^ELN zwNt=i>LpCh=aSD-jFRAJKN7lW|J2k&{ia^DPKkwg^^PTZ@T1}v?36SAY@F<98b6w} zs$O3Qu;dbl_TE;^c9+uIO2jz{T^y!2CRC=T;#JIsVMl^4K9Ou?VuH0_57(jU1YUd_ z-&YKIQV-XT+RhjJZ3|w)7)ACk^1C`c)>}LipNrJ4*XZfgYQP|$`&(T=ryMTB%8_?{ z;r-2Ob(wHY@o88n*oDY5VR^Yd>uMTdf-uiTT0J@bYRSe*7tlAmoUEulKWX^l{$WXF z*z(ZJNdEHe+}+2E-Rr4Prjwh8 zOl04#6$(s{UIAaju41;_Qj$?&+ibnyT~qinvayh1_nOt+XsLV; z*K3P;0H2w|e>$gxwBo7d^Xx=>-PBZ>YOGJJQzjd|luCIN4-@^UlJ>;wjPq^iZA4;9 z(xXIn3M{2?L0xd^V~yFX>}Bt(i>q3FnMVsg1e_4oHSTL$^_vZsvGrGiA$rB10u#e- z^$9mt_ohpw99ICS9(2l88n$XT1nVS0HFg zibDJi6In}*dx5DbE-+SUZi&URz5Gj{G1C*o8|Wm0plLFJPfJ6C z5-a+1N{XGWZC+j;kK-aF<#)g!gT*bvKwt2q)%uXq(DR3fql0`wEF=w04Flhq_zFqd zgT3q z+F8W&Cco2$mmDc&W@XcGGvz#tO0BL#v$KsQB|qopphM;?@2X(PKc}bfA02(dV4$Ph zS?TO7FLwZCN$FU8cE20vqF9gaxG=%%(BGu5O5kX&|L`rptjk@6Aaq-V@)Wd>Zd7|` z5ID*y@7^Uo2}QWma$7!q5&!nr+@S0AR59JV*Bd_y*oy+&mwnr}7VF|(7rB=Nu|np2 z9lrM^6-x^b%w&`o7l}dCY(9sM1rQ!ggH!#+I8k=5TPC^E3>2JyqjPOdk}ksAyV&Ox1!Bx-H%a@0zAo*wqCd|vDDpZz8ALAWtx;|o?c zI^t<_Na1RA;fyipwj_hRNbRIEnfa~Lx*Ow;(h~-23RfQ-mW+FlY1+;8usR>amjAuj z)qHbhH(D2x`&nlf%K;;`leh3rYGoJ`%IH=5O*CHPG3rJ0IipOmMR$)Bt)YpuH%7;XAh?|hM5v; z>CQa`dR9QMI*G;MMU)jpixH3a*nFYcd)itikDEOkb#YITyR-9?lk~kX&(+LI(4I^< zw2$1kg1JinjmyE+ePFW1s9OnN<+l}zuoyRabz>`e6(?ui#gm@KobVt)7>A4Hfi+ga zd)LS5x1ainomgC4IpFN9b&Vw3DFUFJ2XWWy4~kjbSaGRhY_x6vJ4y_O#~6UMTV>a0XSG+^jyUr|<3lLtQuX zy616AE8n@{)k-?+myIvGP@C2f5-jgEmdHM-4{?Oi@OgW#Ulx&Bv7^FZSt7_|C6jRR z(_odTuunzCy2!C1=&V9w6w!@F&w+>;s_utlbRnX=(B5^wFH`a2lmcgPr7WlO<7fjqHBjzS@|@q(!Ftt*;m={7&Ct2VLC;t!}135O=7iRYQGI6scrH*0>?egF2C z<={quCO_3WtT&7vGuHi>BR|87Wg$hbuBTc|x?*~M71AgS23Dp{*OTv5p(H8FKiCxc z7vS%>YFM!gE&AAED`b!7CwZTY*4`?zno-5(N>(zIKRpEo=k`{4)QCcsUinNFNmfl% zmGTW}XA7MwU}O(dO1`h%-^TL{M-aSMQbWL%7{+a#x;_c~vP@i%tSX5{~n-M z)1$6D(M)3AlFtWWxZ*o99x){qZyfJ(x!N}UTW^dQCkShe2)p5_*M@l6Bg&%+0Z;~E z1TOk2JA#`R63D5>TlOfv5|qgvagD?;udwt$D?y483*b5U6NGE z>fZcu*p$nDV;R7)^pW)gc88KU!Kapn`AQv~Q{D&T#m3ny+(#0A{XK`y)8YQ#0&W^- zE<^*)_P6Y$v??;zBubv!@ZK;TA8jj49#dv@*4>EXrqI1E$F&P26w@HuI06@4m&5mt zQ=e<8MD!Ul-*e_Hqz@c-db1TGW$`60WaQdZaxA~~NH%PDuYX(2P|hOD`nfC$xQNKC z8~1{>d_ z5*2XGEHIx|RU7K~^Z}8as=awtAeV96hkwBUwT=EU+%JplA-<^ZMQyG(sA!;fHIiXr z4v-c+2JE*-U>$Zp2%|-qJkQlFzVb2ns>}2ZHG5B-u6u~;MI|*)lG78DG7Tn$xZpYk zHU!c8lGB1(*i@m-Nps$sBRrt*jaaV|libGCKOKd^bZAyIBKfZAutwDXa$bQ>iU}mgcU&IYM z-H1&<&020Ua^lc9CJb25#$|J^VYoQslRgG^;2Zzgaw2x%#yJq#437|#$%uW0ki7&y zq{#tRX6-Yr;p@ZYZwHhri%KfL7=Fu$HZPBjxN=G4LgfzRFR<*Rl% z+~UVCtVwRfe~%7cPbxo@{>%wu-g{dfPyRr#**|#8vN7hL47~d_|5)-d`VMr@1b-&5 zY<)}y58EpBr>(?r1%);a?XAV$Y2&>lEI9>+7#T~tj-ip8{Rp2jw~SyR1s0|O?sZpp z=hmaJ!{(6G%pXql`h7m>c!cfY{{&|-Rp+xO^bYS@)v%xeZEuv&2jSaM?7Cm$TCHp-EdMB$Myj@T!p@n9#I zF5XxK(m%hOPgiWAFkDgGepXpIxW~)F&d2kpf9rjD;-KMVXN?RA@p@*uElrIM>t3-U zQ9mq7x)m<;K*q?3Ep-pe{7Qx%M3nd^kOOrJmgbsGHL~pG2$FKY5>)!VR#ZEVae|Ti zQ={q&Bxgk`s`-;=WsIHQn}O`=OO$C;M1(vaVCpau5Ji>S#wrc`gpbVBF1y8O zhBI12`t;o}-8hf#ven9LuX3Uv4FU+T!L@CO_Lbv}Htb1s$D429d7#D0Ybjik8TD*- zxo8066_b*Bd9vxf|VSQ$WR+rOe|iY;Rk2=F^mEM zC%mdFy^^#8$LWWej$2bPf(D8|yx@y)>8p2Kelrb2yl*67!Ea*%2l^3ocP=tpUB89B zAKRi{{h<#HdjlVQ)7J2%47-OQ^#PT3J(T9MK$YH)Byb_WePW@uuhaxnTs)YK>4YY` z=Xy@$HNiyVi*G}qft_OQZ{~)aOqTj!{_v~&QDT^x@sW6S#De*cylUy`7S=gDY@c_K z8BjLSVxHd4suf{ZS4`DbhYqhT-R$$UM!=yW`2aIRS^Z4ZGqr?#mCYPMB2m8YH}jo? z4iy@ZGfsz10M#0D3@45m3rnZ~`Lp^C-a_Dij@hRGrwN3dBYe@VXyoGplCiwJEQKkK zR0@ieEEP&S;@|Y9$A+%MuAZ=in5EbD*Glh0cl-3*4*m?|GQeO}cPIYudRGN0{#M z6X%eNfd$TG5Iioj_E=22tKGtYNE`ZSrC@%!^6~NRq1(a@L6AIL8JJgG;tX9wZ3zq2 zKU&5^5_qpMw+r4n?bN*h*Zvhpm~|`N$JQP6#2-;1B`?_50|-;g(# z)ck4vHq|3T8mz<5h*M1h!6QFAJhX$Ld1iX4>5pRr?IWcbb7RhN=?JK}UUevv6lyoC z`sBWqS}EF|o;4Y*ZY3oV^1amp^e#4*LQ0FOB)<_0Ya3j~&XNW0 zQ>BX7771LmD3R3cj(`o)(=$R833uxL#2Z6?>6#B*3$`{}tr=IZaWi7|uXbCGf8bh^ zySBP@FG{q2i|H};ArG*S4T@$?4y-Ls{JQ1?H$+RFe+O&#S@&ecAP>AIN4fr|45f>#yey@k z>ld3#(f^PU!#qcY_KwV}FXsvV5HCrJ9_O|LzZfW_NPIo;Iyj+; zw{vVQ*D?pymFC=k6u9qw)C8$~7zJ{Qy-BeQ#oIgWNja7F&<2JSF)>J@ zGnP^?zin`>qBy29AaXo0vo=wZOh#vU1pUK++^)#qfDW5QuWknr-u#}O1>6)M>kmr! zgi|sa|H4?FexDdKt17Q#5kl!hS*5`Q`=vX(OFoIx(T32ny*95y-A)MwNpf%gmk<@_3i6T((>b=5R^L)#<(L*ig> zZ#j~trL9flFGx!}04RqZ^o)%~XbV44`v7iGKm!UkRtAQU5?dzqtL)4k|NBrLE<7!2 zt$I)1)UDLO&D?bPH|$Pd19S{ecjP4sb{sr}=0&^ZVoF9#cHF(kE`7I2{d=%{SU%$U z?rZtHpDB#gMfP5}tdA){M*fM?LJ=ol=*2?(gUBA$p{!uI2h_F8L};0q>_IOiJv}|> zKIiA>2gQce4kOD>sZ2@|(4q=ZV_=&e9}g7qBdnb3tNrJ&mruJM|df!1Cu@;}B)}C9Y5A#r{`OiVk~ZF4w0j$mlI}fwr+? z#}xl+^;TwR!Lhy7Xi%tSEo>|=v{t1W&q?d0^7gfKM0n}Sk;FbfdKS@?K8fchaz9Y)ubOsin7|II&u3T zD#*(uJ}ojPoPsjwHjv)@lQQDcQa? zktd_#BiRtzoHvJtr}Y_vi4%?V}!+a1TjjZftJu?(C3- zRTwnCcX-q#9S79LfGd@m8PI*Q^77t1+@7nxSsA;3kY71>0oGYKR59S?{TOb~*S@2O znM{f66}l1D;Xz@yP(!$T#K@FxM=j#tr&B`l?Ut=#!fuox7YYUR2S19$PO&MoPD zpS7#@xKOMwztyL&2`&p z7p~tI0!6+yxn2}3ttJUszkhA{WBWCUE~%@&2?iZkjVc*75+RkI0q*fcmK_k?ylz6vXj}8F4&De<<|j3zZy){Ai4yUa9_;!v%kdb&!5rT`Q5K z<9S}!|C*-)X`~CEgD)rCUp`sN6Js+Ik7#G?|2G4{qOd57> z6r}C`v@0`zbPqWd@2dW{PUzPtqq*4kjjA8sN6JlB7lrydE< z-VGAMQVaVWw~uQ0Y;(qm8TvZP$*!Khnv=0~%vOAUrsqJ=QP&{4K9{xT8~26TThDGp zV3aUAh0hauZ9i~16&X~gUUrv8>f4^G)%SgTa7`;6gvURXNz9_esVT!Q-5XB%*lLq2 ze6}5Z-bBw$q((`GmGoOJklg$5K6EY8Q(;9*(jeW2kP255``@nA%|g#Tlu*w))zfq; ztiE#wUc39Isu)VeA8)|G5Pbiq5fCQFDC5~M{%X#xysWC*l-F&d zFWv%LTK3Z0H}bJZ%1djOQG6sd~uyvtx|T*P3bs7KNprMm^@ggvlk9zqZIX)$EQO z)bh-U2ae}rL_y8MIIU;;@nhcBw533M){9$8{!i<0{nv@YYdel_udj>UsarxgLdCyb zxHss!%~W2cwvG}h>O7e4W3wE$vYYrhZQH=P{M7OIt6{xS-ElO@qd0y%Ki*yu$Rwbp zs}64Qs+tG|J$}`_tFifYyljX|VsL?n|0H_+;szP(UWFe)M7W29X?b2;CZW%8%FaPI zpxNt+d#zI7*i87P;G@H7F5iofpG@(kL4^B$bd>(ilAj}+czqu@OluGIthDbjEgq5l zoq=6p!l@pSg|wEB2`K*fNcwwqW;DoxNqH`Q4cB83$#W|-cp(s{SV83Tl*#KIkliE=Z{Sdd90t9g{2895z) zkmQi|C(IrQ#3o3-*=TP_{62gk#z35cDUKp_m)40_*g5o5ff2(Q0YZ)(*S&q#xv22C z28~#deRp;AQ}w;`yTzo%njc1wM+hQ`w@gaGdIF7z(2&%PFEO^vKTB9DgTI4(z*GP- zjg!(~0<)?CkrzEatVaYrYe?V=uN=2lAaMxr$3@7Gi5&c0XS1K|pU zoQM`PY^T%zH+(nSFUy4KbeZG)KA`wen?*ApLBOZZ=+2H(OAOid0BdfHzGRK1^J33b zJu$uh3QdJj3jw(|KaSm9{&_Mzq?sv;7adEvUtrI@ig4zUuw!rWYP@X<)+Gkb#TGU2 z7!I32*RZfBM2Pe5lgHO;?}^xv$PX3x8mqVC%4HfK+)Toi zvIT30^M>f~@X*Z6Y(c{RBs@<@O)gMamVHta`J#byRy%@c{)#bkfHqOKo_LdBlc|y)VRsmkj1AUN%O}q5APijM6_Ec)geT za<9ijK*>(&=6p9BU7hB7kLYNDv@SPOG*`Vth7d!Xm}~Dt47IA7w#!|*;;BGJ?7d8d z&S8FD&My}Z6n35rm25i6een)mxekZhbdB+wVXTD9i26~Pk3E(SG6e(A2) zY3>Z`kjCfVaCqA-jR*_NMKr=fKwrtR7r0l+VkNhncEyG~%6GOGKvA0Hz*&`UTd16EMY@(e)LIMeSN@mT^1hkTfmvD! zV>p8Gv7vh}y{%c>hD(WXPIlHlmPv&wvHUuQn;GwVJ06(vZKTW5otj@9Quvqm&4BZP z#t{t)$j=KST29~)d^YLvp3nK{JwU;`O<%_!fx8pKHGp}g*>a$Vg!Yl~?<-psg`E%6 zF7Ep-`&0hA;fnBL=G2?G+n=Y5lhD#iI6g^3a+Q6m+Vlgu{;JoCVe~?+-Yht_X~5m9 z{JrmT@w2;0`=ei(6(ORtm$SoRrb_$xsZn{^*MnKxurM?-zEp~}R@$FDT%P^d;)>?Z z@Niioo?N?xfI&)^S{*O>-k0C9W0+jS1saVgP9+YR9!(D;r^52LP>cOk{Y4l38~T`t zyky9CQNm7pY|XcW5`={refl^_7?%wuRsVv{2GF97dNb+*gH@cW9}lWCR5JZHEpewG z?zdR;RZsb|ZIm6_s_u^a_GRu~-H3y7sZM^eO^MI*+EB&Xl+jIoNp1`V0ndl7@JtG5t=0Ng;hh{WT!noAzG;k`FnQdxBUa9REKzJfIRrvd<=*bCXu z!$eRRN*T`mnPH>nk>co;)XDc|c@vD0R@J>ecZoMg>N+<~)B=lI__s5|cs@bB*rw>n zx2c}&TTxrl#JGHRe^4P^GweOdMvST?{GyVu7j1KGi+GoL>(O0R6rpthGDpnT9E+7s zb>CaKG}sY~eo-*0%h5XVx+I)Tqpkp6WyazAPL zD);1eL>i3^1v^=hxQs03o_bnB_SBQzKfDq9nOZvrRfg?x7$-k6n3hW>?P4tdpD z0VZw|q7=(V-~EmDb*Jkkes9)&iHeIbPNiTTkLdf6=MyWe3#r0Wy%=fkb@>9PXY ztGvs;=3~p0zT$QIn9h+&uT7qj>fYtCJ~Qsy#U;noD!`d}NP_69z^kBW8^uBV^cKmrTP&DOA~j zr}2A8!S~`4v$6s+l$YV4;DR1P7Nx*i^ERBCqv$3&`yldNSLG|~=pwsPwIXvUy>)5F zmhbkH_x7ShSVCS&$k-DUWNJg-)xR~Fbx&69TV+N1WQ>#4#iiQX+>2EA!n#={3i}N7 z5#(QMPGT2f6Ksy&M!p~0t_g`*szvYgNq|&?ieN|TP1zYHBI%M>W@C53{v6*Y6I9eX z=YCegO;4|itYRL+M9Za>_ij5sZ+xQ#8|t<>j~}j7A)2ke?m-w2qLLJAl{-_0jl$N& z@E_?RC&S8!x)tg*b=xS&$|>bb++jnp94#}?>U{)EKLW(S5?qJlMV$8{h+}f zLws{{)7I7&BtRytP*G6<g;T6 zfcVgzmMQ+$+FFR|ACQ0mG`c$Xp&-rl4^Jju1h&nv14E;NyAZ7%l)dzFdXaimG?Q@a-?+Y43tCg*1Tl1xh z!u`b8zU;se!N4RS!t_~zn+hMO{;2M*ZHGw?l5z-h4h&3?V4V|Kkk;;dj#bZqa2m!t zK~=NQ(1Tr=zZu-hf@2UR5k6%rww~*|VfbWn|IY5%D3iPpAH43HikKx@N4wXP82SEw zY#G=|@bxp8t8DOx480y>A@KeGy+#(%_u3v!r42uQsa7Ep&PeeQ4O#UXeC*JWWO+-Q z1r7G!S-~VkK1*QquBdP}$bf4LUKs3o2DjE9L)ZQd6c~+FPHS_lI7L0+;XDE<|A1b2 zu)`B1lpav&gE0mF+`OE>p<=d%15ZKg?7w&aJ%D}~u#utvd;I@>`F}rnLd_OJrWZiZ z&BfK?zI*17&CJ4bG*wL90#pAh1fW_?Fe-R7s$yef|8<(Nps$328E$XSgpJaTfDo!K z_JaTcg#`@Z|L$9~rwi~WE^a*!0Vx{sA7loqY;-u-WomVg&4}PLe+h$rP=miY<-E;9AqXZfZS4l zza^N_z}PX98yLsDOdZbTvPl9v{r1faAiV{@fo?i(uM-mh1q1RkfSye@yCv|sqokyy z$+FRYj^a6cBXuu|3?d>T0#+JOdIR!)Kbtj4h5byPNO5pdfc)HBr(TfbE&$MR2M6W= zeLcOsg9Cd@%dLY01CaN2I|ck_BmXH`0V0B>4Qk4H4A6%S$X6Z#)CuSbu?Q!9{c3Gy z*0bsi=<7h@838u<;u4@>AjrrRkoQ1&44CULR%)rt`d9mvoj-{VfP9#mTH?cc15oM% z`0HtJc`^)qLc)IniOmM!5P_DOH|_xd5&8*dlSOHPjHh0G$y|??3KtqNKUd(BA1L#L zgwQBw(2c2srQhLo3Op_7R0onIKux68)2TNKbL1xZL7jLB$Oi%@LcoRtPNLoC(zap^ z2_6>67+zdlY{mTvMMO7h^D?!tpbh|x|MEbJEQIXg@zEm9UrsJMF;NZ3q}bRLgC{mN zHp#eUN|z)|%*-PrBL(qc;o;ui-oLH60AIO=#^l$p_%?=ZfWZi0-!a8GEq^unT$U{U zl*8x+&FerqX7Nk{XdajWe`Rm4SfJkC)&{QZ#_g=3fx)0ThjOhGW9jN zZGVc69(wE4{HTV4&n9YU*zTcU;%^LCHNJq>>y{RuNHpS%%uH~^rp~(y0HV*%#)i>3 zGdm0P{62sFTvS{feJspTn3lG)V-2Jp!DvF)@go3)`{H2k94PC#qG_6#GcIf<1z|aFNGDkAU`y(VlzU>9;PZL7X0bcr*}610g}${xS{Q{Lds+RE+C-eA`wW$0Pojw z<<_ET<}g_Noy8RNk!Bi34#bo0@9hEoJbs{7_3quj(-n5nZ*pD*U9@Z{3;(>|=CDcz zFL@&!H1K1C}EvetBrg`-n)L<-P7~<_*j6>mu$rGOuB zL$gph^XKp|0_+Q@;upT@d}?e6JfOA#!h%Kq@&+%JltutZzrVMatM9Smsc8hz2LaqD zDoTzYvIl5P1~B@SX1BsCRxz|yTQ4`P?1|Y~JP14v4$g!bf@{#&c0Azu0fZBPIALOd zT74Cy(%081pXP_F;_xuuLaYNgsuNM=t@?%HeirS zO5`6X7#QShV#Uy8r2{GrnkmjbiHV57cfl`s2^u*&S4Bof3YG$)4_8q90XQ*aWMp8l zE+u;aL2O$R6%~~^P~bcBBcg%)Q&I%laeyr#nJ*AoLHaZ$JS`r9Cezv-t){p_Z zAA!%0Z^bZx%o>OdaN-LFq5J};V6H$LH19h$_Vx&Ha6m~8Y`8c$o1mk6!=ZEpgMgr< zuu!Hzotv8*EUR9`Mu!DUd;3Mu?G3E!DJD?Y%*Y@LAyZdZ2jmWbDYZYIbZpgmLu2p_ zr{zDjucSs${{gdft^3b^8z71Ra59Ip*ae`}R9;>VsMmx6)8*o#!LE8V9`q{|`i78j zxLFfk3~2G~?C&qk|J!0_5x9Mu%=4;&A`7TqhLHWSzXC?#pR_6w5!m;}n*y-B!c+l5 zvoE*>plnD3AIKfefX*AB1govCb^%(D4>#2rrIjAUa>z7T(V$Ts$WMX&Q}3f}$|)(u zfraet-F)M4F8ynGSV3PuU6E#gcNdIa84%S1gAA^hL<9<`4T9EJ5JLhfQ(R;4lP<6S zZOMR^gX_Z&lUXj{&BmWzrh-5J0uZom{Bwpd-v1s%N&Y>8mlIy`eo{zs|6W)K_($(< zZ>OIV&(6*O-gj0QsJMv%!La$(rhO_Qp+^v|Vg%-J!@klF_6P<`35a+J;YD4K4KL0C zm9pEd5ke>}mH-()p!rG$ zF*aTSLyZOhW7AcaNn1}ZjS3+!ljJ4fh7oexLJ`BTu&@A{eZca7`3bZ#$fEM|^Fgff z^9C_P(AyPAWv$Huy}%~VNBbuTatC6FW5Z<<`zF~mV6;B~$g2RwvVPOGIUX286e;K(7mv*@cZ{E zfXx5{2jmHX8t{|t*gdeV6KI1?FFsQuNh}EfSc&uip>of=C1%Js!w!fDv)&{>{1y)-whM83|d;$Bz;aEltgx zot*^Pe1IPUdWK;M7pZ_!tAAkNqhwxL8I#SrI6DZEq@<+Yd;dMZ9odwE`xn5G{ZkJq zD=&vCZUJSBLLjFHY%L&X)795kP*GB-HSKvRob3d1sSXb9;CWaAK!}6m0uDR#^Jl7~ z&tSm=O-OzH1wdtYxj#ELI9LSU1I-a2PzFVNbqR5C?MfpDJG)_Xjy}!>nDN-IZtZ_- h#OMDRxQ*y}i3T%r#B9$Cig80yG|Q8T0-nYCy{; zbbHO6cmqEp-;F2Mm6s2NI~2YPaObbz_VX_6`@fmXNK0$Ub|<*1ljL%)ci&@WW3!-w zJ9SXfWz-|bWyF!FiQ#1%K`~`KPv{}5+1MF-LEeN2GfSghANVdSCpTMZGx4HCVsU4u zALr6z#JaM!wzkwRT0t1UjBrOd8JgkQ?wpa4k<0o3)mXEvsp(4VN9d#w<}-vKoWcg7MROdE6~Ka!z5y8zR^31 zlD|~|9|?AsHu6cJp`jsLE)n$^6H|UsQH0rZV>iZ7na}@no<1_%D%Z;26JQ{PcyBRZ0CV8#y;o$)&<*9D(65iQ1-)lUhhG3JjGV4@@ zk3GAyYL~6}1NI>g*j{KB6&3w~{@0bAv584zLj%xobGa4Is%QMq9)+y?*+`abar2Ep zfmok1E$xhlw|DbF2L*6=bc9DO)D`$|G;iL#f$r{>nf0>j*0kKW@z&QvUq^)|WJ*f% z?4O=SMn*n#Jl|g$6unKkcRBBKB;U(x(%I3mdE)gX`0mN7Qn35X^fa?O&dWQXrdoP? zdz~FJUr0sz9Cp8A#=J`$+oNflVy(LR*Xo6a?(u)^mxJ8}1qG+(=J z&ZpZ`CtDK^(-mQKNMwc)W<1HVva(tsQXor9OKItDJkjeC&!aU`10Usdr4o8%z1Kx; zZ*Mc>Wh;DVdh$gpIwT-IeqxRpre1J+7~c$bb7R$Sm~@87-aWa8%$Og(r&{An1p6y7 ziZJa;>pvY4+C@BX-Z;%v*%dyDpluik4W({~j*f0=c?--`JFp?E@;TU8rf1RFsB*Be$fZmO>(S$5emqVR%(Lnx7 zK+mpS@Z&LDJtxX#Kj61`iWs^&!8j~!bpPkk>e%D^ZGL1l>%|^x#zB6O{FyP zbfr(ZN zio08=96lIFYWF%m8UA=)hE_xxeaVt>8&sR82e< zj5+jwetMgMQ{zTZ`cczmJU@$Bo6W?ZY@TtGO!&m#@uupgaEa7M^^^Ne7+k#JNEr8K z#C_SVE4^F04o@R1&N5;S&SNb*@)lxH7U^Fd9g#`AU-Qx#-etx11|!qXI8TUAq}c5| zJ2Q{R!L{ZCE6McK)T6A!#q)-Iok963RkKcv-Ynzv@5oDuIhiQ++k$^lWr3NS+sHYS zN^jV)V{g*-ucjVBT%4y|8~KK{a<*iGTv@qGr*xkv8tEJ&zyBGnPeO4yaEU~2S7Vjx z17wgTNw@G34W_E{@^T^>-?%qZ)rhq=VhebBV&)S)knI(Uwu=Gg&Mh_ni6xf=7Ya4e z(AdY%+P1K_uYs0MDxl(16ZbV31#rZfh9zGu<-S2fm2;=$kUX>8j{eYn&M*{LG=?!XVatBwn-PpO)qf;E3(&2FuypP>5@>X^wxOSzTl#lE{g-^23x$tF zCmpd!K)R(N1%RC$pEH(D{wJ!-VdtYO{oR;dveK(ab;{S%rAnx8uZ%#=5<=juX^VF+ z8>>wsM$(y&Bv=+J9NnFq#14kpjD-UtzpY5%R29o)uuW=PK4AZ|gXm;piu5fvN+lXn zhMpRICwnVlZ*7I~Osl3oH)DB{lme9!mCUmsM#N&R-#*M4d8UZq=L1PPipN@<% z$X-40=H>>qN+iT}@VSe~b;r{5J5^m2pxd+t==joD3ML_G)VNSPq5i3FCBeDK5CGm@ z41#K8UXpi&9k}6-{OG*Z3Y9cS!_hLTshhjKI5`;fD;w z9=B1Nyrdgqm`MP5`L&6`kl#KhJMP!PWrV2lC{5{+mK+U+$qQ#cGH19{UuZMOw15Kk zGOf9Q1iLgD#THK5RXE6DH=c2m>XDIHkJdN({tbHoHIv>1xe4T9RG=bfjt-#>Q-}35 zUV+1KA)~Fq>@+CP9Pz?bYEjtL)yV@46yv#39CdQBQXXKMVt;dcNk>N)Tq~GB@hLUv z?cz27Sn#lhsap{9^iBE}W@Kc%rE7Ck#Lp`x;y zB@{Q~9Zkw62br}EPIhmO2qvLeJP~XY=dHxeCNmYg_j(=-`e`~pUt2=McbAr+ubt5o zO?^70oI^25*PLC|itCj%PR=(3;8H5kY}7@pme*we(a>#qxR+O(ocu8_YdqZ`$ko;6 zmUPYtoLVI^zm@7!C3O+N;NecmiS&mUx>howfq;? zb}}E!HA_*}_bCx%wBa<^fZoIsi`bBy+(yLPs{>*FgDo|n#69qgFD)~Nz^f8%9Yq7L z23W@tCM_mE2KF)BC-DT9Nr?3xbS%oF`*;}~gxt0y$6!!1ELhP8(daKYI458L^PLUzNG2}o`E8^zy8F$c5_OL$UgYn0kkv5gon=k0~#C;95@`2kDb zQ^7}z%q}i)t6ptCTjr~g49OWBU4&QEX{8d? zV0=Qp;xn2B8m&K5$;&jC29V4A+DkSA%IokCabDLNK$|c(W9BF<16E;kF<8unW)Lx+hNrvwa7=dWY=g=sd7J+J2_71LOCOrA1#tNYu1 zvH>gWhwDz(zm?PXi^W`9j!l&qc@kqg-;nmJk=Fnret0U4_;9Fx7Remj zS(u8GmQ`i8KW{JLCsRrmnAUI|I}Z>JYU#z2axF4(Qh=(h7*!>@OqymEAGqOa_DL@=T|b){vHoH6sI!lRo2wqYeTn zR*)$TqqaFDa8#|ga2bZ`L0?l@KIo9|053s)czYYozSAxDqYo-IznPEB-4Ivcrfq!F z_6U$9Y+&BldZkf;g4*XwR+4&PEJqXa8TYAQkR@}_J}X%zh;tSlm_Cu815)S|f;zsG z6Adk~vu#;!7U~q+jm=asS%e+6#J5cvJ^)^Yl>@i~jiMYT-vEf#!q9IVj4(NlS;}V# zB=Kqus{Y!Uj10`ojH7Pgly1E^N~IKX__olB3hp>G&t2WMv7Cbkj+~T|6iQ#@+ZQJX z2S`e>n#W)i>%9FjoDFMrlgL7iMSNpNz7tC1IR>$@G?+eqAR|}8ux@ClT*L@s3U-i7 zr8i%6u6*aI7IYm^Y#`@x+Z3q8M77qs1)aXOev9uT%d1)#u7UOWivw)#a`>wL=!1CT z2vK`ov0DCdqqSN|@l%K@*$-Gn5ntc%QmDP?#|w(h<6QREAruLUY5V$Xi_aL21lljy z2~NBWAFn9D3Da9Ki^xNx&^-vZ_lII+&zGH_4FXm-9TA+xt^{rsB|)a4pmyHjTXU>(-uskYg%OFSW8} z2cieQ&K-s^K)bUT#&KrFO3aUE++Tmv>){mgBkKjiJ#xW|7Ll$E8a`%@jYa zO}PeFvVTOwXQR-}}u7E=H^q>6KhLUO& zs2wf9`=4mIE>c4)Rp#_Bbb9oIgGDnGqBw-DS;Y%N)T8_{@kt_71$5g-lQ+_RCC0W)=VgG z7}89<9^vf96_(!O+S|zzK?OvVOHo32psulnSgad*t(;6eEo6b|>(7)}W6iRyDy`Ur zV;H~kJ!PRX+(R#?7vnirDY;|?q5cTX;&hG~1jpO?93)1Z`Mt2LoQ@K?#B8xCZsZXV zs1xo+;e1wc(x$gq&7dpt9>DS@%vzO{DdE`oNrvxn$+#Yz|0m96<-Ib9cwx>qBqhgV z@y*eDP_;Q@x=&>XKCHX9ccAw*6O2_@Q^U(~LT2LK6_+QIL3&)fQKa?`FEN7RWFp;z zJU{1>wrV#=CzA5HyQCAw=8Td*&bMxS6b(8@lz}ZLKS~(NXb249fzp9e6z}9}_}PH_ zOz^~VRSv}C511@*qKl{iX(t>_qZ#M4&iU*Je=*aj17MqAWbftcIh#}h>453&z@BXT z?#HVmKXHu8(nYS!Vf-bE(3B+aYdIC7lv#5YrS^`G7nqZ% zoJ{bP;LL5MFjcro`nh0Jv`<2cwq_oun_x}9W|~Zi?pLl^O4F}eR}aV%r|5E$!#nKx zq|G0I+8e1DDQ*}kYC_C>m!b;?nE6eDX9`Ou(WfiB&vq3Jn5p#K-Os)Yx<_VLN2#u1 zaZT_fuuJhRb`|IM7!qC$)SkRmV>-g4M&Gz&t7CkoPIIhMwrY`jzB(FxTi7+&^}1@gI6n61}Y^1EmgGRNi~8jS2u7O~klz|1XZ!tjOnn>nwg8*(+MB#KBkcUhUrZf5 zHZlK0pu`#Z3S*LwY+mpP{}Q9;kX$&QR)H0J9unF0rODmQ6+e*48|t^D)^(TPHqM(5 z)Lt3#vrXFc5Qn2#lcT)d9Vstt#x?}KBV~7*e8K-b@D%MdhG@O_N)7e3kj<4yI|GORZ)qFi9s{m7|A+XAEYreBfu!eCH+q~A4_o$ z;jOG9q2IS@-NLQ9>V2gg$Lw<=l;){nDL3CgLsOCR{*l3;tYJc)AZY;>_QI^epxVvQV2 z`x~<&DI#gF^|f4s4~2ZzgrfkrLyO-tHE*eI)Wa!-vlSmg%1quP^7axA z@t{&fi(}sK^|5*r_^MOL3m$*b^N6;}CqGGE+z2)tDcWB6m&CVthud+MR)@R*UVP{& zxh36#5-t~01CBo*A1pjyHPBQE#>sKQ!93g&7XKc|s~f=T>ZwlfS47{SC zhq5M|JtVpM{PN5vCns^zABleGJ1adUUcstZd(aiT@uDd#ic3h)`zz*J%uH&sN2qnWxWbFg*#&t`}GE-M_Re=4eF z`uAn~)TN7<2X-Vlr9zfCiJY4D@zaWkKrNkUPDiEJ&G;`L0#~KJ{G^MhKqQe<`5EK4 z7UzTFTdFD%p7Qv;36xz&RYRg%0~@! z9c8U-*so{i%vt27l094d@AIBmboyPJ;CLJcYA_k(f;LcnALZMo%lSz{&=0VwMqU= z4Max+D`x5GRZL+)eMUUr-YsF};kPsVU0KX8HADS7ObbpF>runge7g{%$y+B^>E3Ru zQ86C(M2$>toP|!^TqADhOX~U`EWMNNn6ZcH>)Y`$%>v%ESq@QuB9Yk($7mV2tZzfo zdpW6IJ%@b1D4@y7LngUn!S1*9>!sR7^Cd=Yd;DI=+FJ!V3A*q4oK9KP@>7$ksi`?M z96W@W^+L7moA(777#KVb+DRQm^lKcS^ZxpiS5m_M@};Ti-UGh{Yyx2qJv}`r8|BII z@obZ?AhvjB7atS?%A@hWcDnY^Prp`5U^faZF5a6fG@5|v$;- zzVZehX+Drr>#)#7z^1RSf74EC0BAP(T+G(GXepBGO-|5dVB}?HnjkJu03l)FYP*?^ zK>R4Fuw6D@-s()Ls4`r z^2_3f@2C26=M$68NZ+G=USQtuY6r>hj>mvrAoUOUe{eW_vc~BJBu^!$2}zRQbM_^6 zGgY$jtSDXm{bo}CNc$m6E+qf?a39IoUS3_5|08YHZEUvI`jb)Qz6-=n!2e1ZJjuKc z_I7sY(aFiZ)_?Vehe(x(JmO(X61UCd9RLJhaai^0DqOeJfzfRFKiqYH`ClX#jbw)( z2>!cM6BGOI;7=z?p+WQf;9%50%DEEBXV;i?;@)*DpY;p)E20!3IrH+&J7zxPD<2rH z^6LNq4~!@{Rqcx zXL@XM67v}gOaJI-40?KJCo)$I1qn*XOiWBv6h0v? z5R1wo&@aAfV;ib0@rueTn9xGoe&0BuRnkz(`V=lloTXka9{uc0KBx6n94u<@-No_A^(*cGsb8C47iJkv>NbV@&%ej{;OlVifg&5 zI{a|;Fm^TvSlBz*nbW(NI-8r@yI4B7UW4@s002Y)X)$3n&z#F#b1gMp%+YU)A3$hm zScqYf0egsf8xNyGt<^ZE%MQ(+wm*YH7gtwPlSh}so6A65p%D@dSs;bVn%rM#Z9Yq(29dUlapmG%-6lg%pdq0ZY)94gL=o)=f zp#%D@G(}@NB`o=@p(&niqpa6+f_Zg(jX*6@sHi63jnizHnhk&mb-eMjd;p{(J+Q(* zO^~6{S4PYs&^gLQQf>jz!qvMO%zcPzIUFY05m-Vr8$Du{Yg+2_o3!psL98-JEH53U zg$k_lDTEDxWO=X#k56vjB+nuCS^*tP>dt^+M2Z_eQ7KOsgh@!Z-yc3G;vPres9&rb zLo@~2;vfYJSgOa5pmkp{_rM{ZE*TIkc+)znQk!x$7dz6DifBMKQL1zg~KJ<;^p48$jkw4M>A z=C(UVOr9WR4-QZ+{1`Zs2=P7gX&%3i!-clju}SSAhZZkx88%$bPtn__ z8h90tgpmywW-9Jo6c8GOjrbl^xq>_PH}W~r(c0cbq@bqvWZ5JfLdb2XcOwe}ND&Nn zuzv77MwR5`0Z|0)#u>9@Qn@V{cT-#;$&&DBI}1}C3+#{Wi2XlsTibBu33ca)#tK6! zJAlB1;hwNIt@F&R&o5BqC0X45hXm$^J}*dBo63)wEezd^{`=q;)V#d)K&$g>;i=J` zqZM^7=S^7TVU-gRHM>om)INP}?vgte%Y_>2ai3I`NjzCZM$z+y(;;T^F4NRY6t2l;I~a0_UG)?)lQkeK%rc<+J5wD$m%* zRKedpcK3z~a~Z;a#}%K>`>L@@4*II0QqcneNLzNS(c{g zrg22#>Jwv5?>B(6-r)CIGNt3u4GNoY01(Qws!-ctYZpUpumJy^X-kaURDd8phIPbf zl-Fuz8+m2mAb@g!juEjfg;uMH2@c;@ey692*ZRyxblU{oH~J8bE`Tb%9~)b0C%~U_ z!zN*rNR>TM<#zW>n=f`UflwdjPncVwgA0Pyuj?FWk&XSs6KgBj(FFR&wO4_*bq>ie zxypCFQ;G&%Hn@P6R-s|Ot)Lu#%?}?(4xEZ|#BtvXeLB2f7~HQLcjA@t87tecrgWpG z+q!lw*-a3b3SUv)Wn4V1ygX(lZgrxtJ)l= zSWKhjPI-eHt|vG?VXQR`s3RU!p#kkw4}Nq3EvvDC1TcP|h-wqO_{nSMzWEZ%vMLJZ za%F&?+`%qFKPQ$z^w_lMmw=kOT0v1!90gQqMX~BbBWZLuplg8kmTVqr2p_>nCHF#} zTKRAUYpzY97lpZnE^YUQ1-7KVQcB9*5aKWSjMU5U3*oTf;A=&rqyJ^}`=1%3YaQN) zno=?b9&ug}e=!U~iF%Jma{VBhVU;@&Ra5B_!80( zcxknf@R<>0WJ2-0(RAhfGn(I(k0oI9e8}XguKn0J=2T?H%Lr_b+c6I`WGQ)np9`7> zS=bKb;Lw9-X>|{-zsX&u-CHh;b0QB8`UZm8zE@=i?qcy@9C?-`Be(*=(MK1j(MXEe zIvp(JL;|^bj9rPNBB_!XVoznCK<>KR^{J#zPIIzKxNq1>kM?=(VW*|QGD4%6$3Hv&+#6+6Yg3@ofZV|SOjR55XUZtzpJ`phVzH-QXv zc7Zz6XG2Q;h2G!X8FO3UZ&~Q`eo9a$QJ)11?gEh6so_dJIFMTHLEaxOo-gBoI=HM= zx{)Ffb=FLBoVogSpj$PNnC&cVE#OJqZz$T5&l`(QegF1OoCu9$dXJ{x+SV`y72x|@ zJ;y5%P6&vPZ|4Z0+C{$dk_rT;+(^+K=+tTKQqxZA>Hl?qO&kJ~g@_Y~BW}DGZEf<= zi;rcNvBfnW>}WYihWD;^Lluyvhd5{<%j{pruORp!+T<_#F<+u`%jy6tbo)>Q8-@gm z1pMM12F2I6biorV`o6*`bhol3Mwo9jWMqg?$-)ujs)Rs-0RY9nhlA8x3u|ShWTezA z-8D~V+OX7KvE0EWcNUVeSLX%*<-Tz9BmJ1qLxTHP_zu3%eF$g2Fwmn{JJTdzcfEvc z%gnH_eFqo%N4q1kt7*S<8N))#l>L@i=~7#hmH;n)DPV)qmaAh8W8fqeW^wpF*F(*- z_Aj!~zQ5tQ@}455FLYjGA5n|0=tpbr)f?wtxzExydLP>NsBdg{o1z$;0OJFg2fMiu zHselSeLHH2Zmcq`LA7zv?zMg~CpHmId#>odSJnw$hrIn>9#kLKxr6buXD7|_-|3__ zzmgp7IM!o3v&QppQ-@!Qm-pnpW9A$)Df!Yl#%L&hp{bArE(W)0C_iP0W-++^WyoRE>@P@8BrLWKAOB^yqxo=K-UOPerza|j}q(9}3`896D#B`ng>mOw}pN1It@aP#vW zsex=#+Qx5l4PD}TsZTs+?>%T=luVN|Vo5k=ntr>fh}~ZnL?p$i&fVx{%Jq(Bh43R6 zzF}m2iy49qxFdwnG|Jqc!>T(f&?SIKmRy-%a4a`SF|5OFW-4R-qFHXc`DMvDX0wYX}NpfrDsk#ijpOGBSIt@H&= zQAEVp?b;ULub&@2iumDK)rl1fWHDF~=Y|TDy#38s*yneo3QQGP5xP`8g9-HwR`Vuc zxKNhymu(YL+-9t#l|=Y3fTw@Y0jc z87jo~9Vp7L6Fu|7)7Z=6C++7kwaM@=^uuf!DZkefzJ5gK_Q#OkF(O*sS8%8`$3j}A zRZ7TrDi-_A?g!xb(90ly5d_JO+lV4se;v!q&`$k;jg1w+JClS2jaRdgFTzz0%N!so zT`E!gDYbVp9q+%iO&oe4M&^_$yiAKwvTw|%e20!>zLAcAes+z)KfEZ$s36tdU_VE; zv2+!LJ^4K_m3Mf1I)e~<&4Dv2kWOVvpC38r_{82}cM-j(q(XGLED_t#6$y;P(DJn< z?MxldHda9X)37p+%56~_vm4+?sL<&zF=b)s>01*A(nBKx;NI%u3#yu?gJaqudhATF zQ2*Oc$BY)1g#X@U1UefQdj7t{`hZeruODcoYGHavjLAiBgU~uwz3N8MVKzM~Lxpx7 zJ3N%Or>w&Lu<8pJlVx@Am>t>C39CsGpwbYGI20FPVJug!!*qEZiFOXrP)P@%LP;PL zA8e9Etq4whAO=?v#uAX7B+7;h+>0raj~paT6(Oi8+G_Pl9*W3ct?~umT4qy* zoYfz@zn?t{Me%N%Oxg%&P(B=ZTGCJ#YsKt1QXE-S5OwwF=Q-d-wjj&v<2$JS)+N?!1JiZPIgxL{19bx;&9F z2gkEw)0R_2y}wl#NF!jhlFq84x4h&vAERN!BBx5G=k)aTeZYb~l4YqqH@IPxS_!4B>@@f2J7~iu5z-(aHO`IpR$d14Zo7a*y5c zuIXA@zBWOnKLOEPAPeDnxwx!2ZGLJCzQX(O;R6|U_S62%;W?YH7vbk_ql~S5H~Ai-NYXZDRPr=pNRri_L~_8zGOWV4`=1aMAs|uL4nd z*MBqhWNQ81Y^s<=bX@UoO4MTTV<%uBSE@;$$|6b>YSMIV?s7GO<(} z0m@)mjD{wQs;^~3M&YU#2K|h%djP9XR@EK`?E$91Sy#{&5B+9we^zpl%9@7_H{7W3 zwu1zpln6Cz(aR5H=H%F|ITEAG)MyhbWB>PT%X(zaXbgZq!-!Z-Qu!IKnJr=THaw_x zqz&E-`D6H=;#;3;J#;Lp19qsgTS#mqj&iOS;Gv_ZDK;n*XSKEbV*8Yq{4F6{CGaQ^ z6&0DlCFWQCP)wSsUv~#+BJ2sxLw9XmW;0x89gmNP{K{us9H&x7)7=*@{|mmVc9^Kw z#adIvKG^?NhE&-uUax>H>!?DqwfPHhjA#WI-fMIr%4)ZPQ70Q%_80tFMjzqkMf7&a zuICOLAx97_G&|bidcCg!&IYFc1!fiowJGluD~5~%Nkw( zSY#jMwC^oyIS>1m11yDt3vbmS%m`qQTO=?pu4Rws*oZ2q<}YwqM=%dj7&IP|4Aszy zQ&l|^P3_$oxkJWs>!X|r<1uQ8qX|#2PGE;dQL0?eaNk0I(s%Q>uTzD)qQ?qlPtwSE z`5=4ZpMBB8fXc6CG(K`f3P8KeG-85@|97|zMecq+@$jflD0;}0LGeD%b6R-m;0=?> zP_0?u)^g!w$>QnCZDp?~_Y(0U(o6DaNIL5W<`)7EoDN)mP-{QyC@7-o0YvA~bW!;| z$bjx~BGrX<{y%x7r0!h83htGbFhKwbfqpBNa~-f{2Gt=>9Oy1iZIwk^H9nDP7VTqT z3IA46IUZs#20Qd%wooeOIjq?M+NZS{xDyG}jRzf~Y?~yI8RFf>_tdu*xac5K|pI~*KnnbBCz=ZCE5i)(x%BG?olJA;+tz5`>o1#qPDl=Ly1$i8NVMN zL~cELF?zI?VA|ql1GETol>X&s$x{EG0A#|HsH&B=$Ovu#y$kSZmT*KjQ57 zv593%(9BV{BRW7)b$XD){wQLN#&+%wc)@Bc<7jARf&9J`$Wyn9X!FwB3A*LC1-C$B z{CAn^lg#-XVJ)Fe+|Il*tLfAS60w0e)iux2)Kl=>em@hq2L9`8L&`rI$|0*TqLcza z9W3};C>K#USOH26H<1%nAMY$Grab4CTLhK!+Ot?<^o{97(9a_rxd@1Y5E7{QHiHaR;ZPvsFV$i$0BP@zsUg1we|eNpQ-YTp#Q-SaJlsa!*-c1Q874u0pB31DMhsb*2e4I@fb~qo&6~avds14g z3*#Zo-e)(yE$NQ+`BQv`>e`eIuB_l}W-SG4kDhXUaj?5wBfak-VJNl^ZFn^^)u`ga zX*q*@nFRK7?Z3>A0x@K7O}63W@;c!#1wN>ZMS|b4@tk3Vilz|DG319+eo5ZwKmu4o z`B&k(8k3nlzVPJQuEOg`HTT{k=J;!|``=Ex^88jsJP6r)H&l(w7 zdak$#g(<@mN=Z=T_HjL=k+I@>NjML+}Aks#L4D5MoH0n ze4AfN0B`)54QgduBYZBx?28BDjCY{{%uoVfOaLsLp#6zr}mt8-Y~ zP8c*{%+8KwxBm-P5+9(B?@g{n1j4HmHx@OD=&cSE5h_V4#V*cyxh=rtK31TisNZ)mXg{6kzQ(-=0oA_RaLPEem!~ z-{|)Qf~Am)DBJU3xODbF`Gsv4_T=W~T$!8)%fe`z8-PUJGg9mj7ON}M$|F&i5$$bU z-e9@NDg_W)!h$6T5Kb9oX)$954S=m_k~St`5_txpzxk6NGS6qr&~~X6Dv;JQ$Gi>i zG`F%i%xRe2zypcMJ~~Kg@938VxiklmNezB$|MUvo?ty2NWC$e?efkbUZHFWiA`T@zs?g~x^^(v44}kuJk=JAjR#Nh$KscI0(5^)^ zP~OY1C_W^pHhmF1Xyv*?@C$E8R9IZHoq^5cQ*A2|;!vW<#RV2{aVZ%Y$e^2h7$-gw z-))jQYe6{MH2p-q$TN8yQNs^_E+?OeZ&_Q3@My!6C6UGyEYifaq1)&tjKEJfJ{VhMy0Cz@0}R5XDhX4C)W5@$ zk@bc*>xyxtMIf2e;s~iA=gMy&94KjC%3# z{(SgVFa=w!dsdwDO5^!KhnTMHNwpqVuQmo|wcTOA72 zXd=#&w$$-<`H!;zU@pF9{=|tUsf#X@cT&oy@g1`QTfI8O0;{bE*b0{_o8mvB8kkPc zRw$`?#_0|@oyngxvbvTm>se+n**)H?%g$oo9?wU<);>+8r}et?Gx~+D#?9`=dIa^Q z#%`v&G}hLb!dqIL0SXbhYNci{XE7Gf7?e@?W&pFnaRWsUCM_rdIE1-bhqYe3QBPjU zl!EhPEtQOmx+w2@xI)4H-~Yz)NX;LHIUiw0&D0DhFTc{PZ*e zzOB7ubc8A?CqA74HFyMM>RZdG$ntOJj9GXPHsch@cX%);WqSKn4U9)KUT>^eA^fU7 zJ3b1qu6R9&XT0&~nrVS5HAsbD6-iWXj<{Ep$GslLB#8IFPt{51I_sbzFJM3Gn1Z}R zb~CJxLIscY#kCB656cqMw@{|Q<>%)OJ`I~P*&Z?Q!JvPC6+!!AUD@fxsz>A#=Rh4) zN=wlzDDG@1T~tl?0SOh3CD{vm-vtu+x~AtXEF+yPoPjg;Hq4<3C8l7pmCs*u4|hYa z;tb@CT3MIB#^O3q!75s;RdpV9(xx?_z3R^;HaTCF>?bqt3**hy>nW$#zC#CLs>K?X zLNJz*lgQBA;nAq)$3y+xc>c^|nV#Ap4p!~!avT_r5>zYDpdpmW*4bJV-P&``bt zhRZPrII@|(=bb3XFk}6XXmw*c+8E8pL_q5c6`iF~LU!EYLMWQhzkQxYd^u<#__V1O zu66dA>PeBs&78YnBH*xkZ@g46A?Q;EO7%GY;l}X}a249mxzfvhI$8XH;BfE>&OcKx zhyEMNjvOeSringmQ`0`OFt|(CW=>4+{vSjFFW>wRuNh9 zP5GC^!sN8pJi}Tp1_u3Z>>{2Pp}$CQh3%>oa+osmWck z4N_iIWG4Xh1Y()0p=Xhr$6K|k;QFUP-$+jE$5(3si@wKvxo=jnm8NZF?5HS6S9XOKW@m8F8| zSC52$)N4-QSodkZ1Pu(+yjQdUUvM~{r)2M+_60p%+OrKOBs*$hw{)}zDiu-n$-;~t z8!!nqxsdnb<5P1BbzY<4pj)QJKVj|+7?~H3urE^Vh2_<0Zp9mz?`>O>pH9U}*Ac1P z>e=fiW~l0piG!b0+~9WrO&KVjDgaT)tRJRWBHlGaU+7xH)7-@5u4VgBQyi%g8TiXs zvsS|m8w0&z6cw*zY;~rgsX}Dd(CE;HAFsRDXFQA_-yq>eSVF9*Rt8Qum%&i$avD&O z4>dr4LeE+Y!0*RTGzDKrc(-ega#HlwU&{4J0D;U!?7$M0R8YguNsipuW)R897bMhslA0~9B7=G_n-Q1L`IRwx0+*pe* z!u<$1U-vme=D3*cwowS=8Ne25$YjR6+ZP%5+Fypv2@NH0C-3;d>x*z4r1MIbL8cUv zR>$z*DiZ{&Am*!w_mdnP&08NsWDtt6J1+6y%n9>kMQDHBycrXOe9&|fjthozCrgty zg}U;w5Y0xYWPVxsjjW0zhCn7#YEKk*w4Nk^FC&n;94aZi07ZVrBtd4}Gzr_v)v+KE zZ;D%BkLi(q8kvY>@fYREc45Fm?w{<+I2=i&l=9txZ)sAF-eSEU(AtSmJSv*{ARu^^ z8PjDE+-k>D_<2PLPbBpFrw2J9>{J2YjG5Jefg9gyyj*j~IW>DJxNL2~G|ReoIlVJK zUT*Z4#N|`zINkz|lN9-Wh@TBsvE3W{%PpC~boYdf=;HkRkr{6G`3&uioI1;z&4{Wm z@?5S?VN5U+qx1ZUmU`*6OZ_pWh10MV0Yi&aK!rxG`DHVx)DnH;Hza`B$dmt zq;9)dsF2-j%n3)kozBXU$nk8+^%Ztvy{nt;A@j*~k-Yh}?zM9Oh6O5}FH@9Vy*g39 zEXr*|8<(bdxThTZ^S4zGV{qtRb5mde`Fgx2aN1S|t#ZtP>hB3*(7ld-I&j*3w zzI3_PXW{Aw6oNJe9mX9B#@NgjJctcENDgjJ0M&nP^EgvT8y*; zSXI=nj#}XuC}U&uFza9`f0WPzYhQ4=#`{uTO2H*FbPvzEdy+mMq8Credgl?*INC~G zCT}0!t$+d(j(2^%Jt}!AI9I7X!Z;4*X!*`=3IBkZp6M@(uQJfqp5>!z<@%;}|^t@sq?_y(&v9%v_v*@bOP@K5p#DaQfDr zQ{>R4`rx@UKz6VB?)?%NwRTo*AP8$X(cy^!m&IB}yo9bUTqUtcWm_@xk{D1Z@~r2* zs4!Z@nZ3` z`|vQa5r2$p!uQt)V64H)ywMTKh)5U?j(xXH8Z4d>pq{KFHZptd*q^BzgmEb(NEo~hoTRje#E+BuHjkQwt1@Urmlu2wGNb-u z+2X{w{$2W#`2d5_kt2YQEB~p{sf-bzw&#VT(*`Nui?7J{9ft5wC1YAw`q7Y_(aq^z zw&J4S6s39paQGrrwXqf?fHBc6FLBKwUmCEDc5^koczc7^Sx<@mv>}-fJ7+N-B5tx!9-6e+Fs^XfJ`ZPmN<^2RrHD6pzKGIp`y1cb7_N#~G%lJ$L28jiR2mxpFpRA1x>D2N?tF zSjn=EH!W#Vi7eZ~YV^}Pxaw*G818pi4hCXTlq6VFe0U`T+hh%Q?akLCG5PQ_7X9{~ zNF#)=)bXk3za_5qlFxGO>c4s>A<8u1Rw%4|H&{$aD8ASc^-z&)?e=_LuDqVV_?Z%o z+=SHG=fSD(g)fnxmtR~Oz_Wl$ZLXD`YIRU5M)Gt1Z|l*LQ4lJGe>9`XB+2)`0b3og ztwo0FQCBgKB^j9eFixI4PGBqHG zViK84zG^uDpIg!lZa(VR%JR_Pl`V^sgn2VdEn7#9OUeLxSbj?k5Bc-Ul|-6Nz#n;F zP6|pqS5S!gn7M6~UyIjHvYoHAlsejMBXf%&Vyb>GQhor%3@Z$t_;erFSECjZ6%1b7 zrvx_Cdx1tZrzWGVt-kO`hU{wA9fa6+V}u> z`&{_(wD~~u^G0WKId5cR4A1&qsk3lY zVA5fKop57#^7^X(p!vOCG7wc^UzTM_9&Z-V88DUi!>vY4B%U<26Ly^bzUkGMq{l-* z@*Tsq2!;l7$-R>wzw0Ff^uCGDj#&9OXnN9YblQ@+55TXZIWL@(Ua<<4zlpoL;LzE; z-pb8|ec_}r|4X;nK%zd4lVllY=tR$TrrJd2N}il_d7W)rJ*b_OQ2f2C`jgU;+iLJY9ArAxCPsn&T({lTJn-HMoJ|MJVkswB==x%Rg66ZFiB+&OloK zwTR)`(CWgTU0`vb^!2)fD-v8U{s~I)Tl^#0`6bsUaNVb8_wfXSfnYP7oK&|^q*u=e z&oypxZ)jz!!fqXV5kL2qn*Q0rJPc|73C`bHU5&HyZPR(W=&V&qJ_Ed+(jf8ch5ZYR zfi4%OYm*@H2Dzivo`yoPZKzK{nFz4gU#-P$MOQYR9U(aSD49-x+AvJc*At$`M{s?8 zHT1L4j>+;JmT%1@gd!Y$&U*R&;y4!#wmsJ!i`505qy7^WY~8&-G^9RBCvj*RS^)kw zYR}jQwKs0Io&9+uzC?!Lo<@`#?SUPYvt%x0I z;pB~scKzj!e{;JhbOioF2LFw&+{Xz*i^zaLQs7u4QGUOv#A+#=!uFRqi1e$Kq)cAS z`A;b$AykI|!|s@bbw&OqA?wX&WiteM3cO3%v!ZKxSFamm9Hq6`i>ncHwHB$e^z*+- z3Y9!;L)2-%2NX{)?&{Peh)9yJ7Oft?L|Z1x=-sq0^J)o6z9y(xlpOA-m*RQti_FLG+<{x34I6(SP`_Aw!*>HQ3p>LgtgTA_{%Fcb07{P)Z_>^Q zZ+^)-Zjb`5{&td_-Y_lITg5A%*YD`(trL}$mIiUjTUz-$;5uim&!IUM9FUP6uOa6~ z``BRYSA7}9zKc>0iLD5QoK70s+#tlm;v*Za!f1%{4v0zZ$k*N;pCoCyZeX`#aEPve z=7M801}m7Gs;MbD$T!QVr=-8`Z$=mrnm`=l7V4t~?b za*a9j*;5nLp9E{v>KuMqY=NEYHLnWE#9hR}Zp6{gi{y%)GQculBhuf1KsDUWLEQij z9CCLxe!)+%qc8Rqp?18`KPhI1MBvBozV83+cwPb{K&&^J{ZL>+0}Vv0vw1ffi~sWq zn+%j0nzCk&_X6)t}e>C4h4jx)bP3xF;0HkgQUzt(haRU3CAibM4O&T%*($Jtw_A6MWE`0Xt4}3`Q z0-MC|_kvznc)XZ);`e(H2{)sPh1SMNSBuDMLnr3@%BmTW@8^H^4NwvqBo&El?V_Av z?l{qs`cWMn=0#o*w}XarX%3Zs8$i_l@!6dpe1n*5+m#t=x#nBF)(-pXba1pjWRuhK zMY6E zCOcdXrORZR#`$I-2>Cbq)vtRT`E!r0twt;AvK?j4=tXBEgOfnt+Vbmn_LOkF7i~uL z6$uv;IG?qzPv^KG^jCsm*XaOHh8m17&NrVu#(amK{XbT%NQB|MY~EJVol_CR;%S>i8l^em4Y62gJkRy^}g#*uBm$q=vvrF1CIa^om-`2dbH zls(Y=Ax4!n)6iYq9GZ!24w2TJX^=yaJrIlhx06+_MSao=@a$66#?vDiJ{?{>!7Lx+x57UN&>@QUN|Mz3KRt_}3!;S;Zp zmz94{QjOWg_AocdfzEmB8vh5l+kllZtlGnyfCsEXo!rJ6O?&b0lfG;{HO$Q}_2Kne z56AOXIE*+J1#)td9Y3xmx*tU$0_h$>i=;p)c@3AQW40U-UnCkc0M}dv*Fc z`5DK2^>^&eqJ{;h>eX=-N4LS;hu(hc`dYH#9^v#ou=a^1Wt@QW`=uZ>NG5dF&b2BA zz~yow(q1SI@b8`5>c$hLk0P~O!#4Bro0vsD@I{OJoe!1l!@MlzCFovn@1=eI=8M4v z5U~xXv?eR9dEvTymq$cX%|JiBgU&hM%B*4?xDG&9Qdbg9@DXZ+3~#t$*&jscPsS5b z4YiZq@`m=*xiJS!Q(?gZ#tsuhh%jXR8IXPwk&8oW@7U!yL5np!+g)(q0dIX_wmkX5 zkF%9-$il>Auq`lt)9oozPWdbxv$h_GtIMyKkg=syhXhPt)(j4zh1&mR9Dk9S8wh?PH@=F`c_hsSHlqzy+E=2ls zn6(=*#9ePEP+T~cX5$s#ba}!{h(X?kDe!8qlFYE9qW(1x7hn z^Q+l%V|A_N4{Nw5i41JFsIDYCnS4Ac`(k0sZ3}ML(W+lw(bbnYe$`o`J2$E|zb*de zbD!)z&dE=OLwC081y$#D_As3jV5BO0@vd(D{P~HNx1Sp%RyQn*Q#ToBw-t9U3w@SCWIuPtMpt#X`7N4&}`xFR>otGV-f zO0~COjrIj{WXh5(mpn5L@bsfp~l2GRlTrV)QXUd5zi+sf#yK(1B-S0Y(=Qy4!_ z_c(>?4Dm}iwXuS8L)U}5Vq1~6TUQrnpR9K+r>HeC@w_S-GE7RusG{i++fir$!p&I?S~eenn5Dp_rUHtWX@AqgcRs+bF;!)N#D z)C*i(;$3?$LAain=utxTm<0?RmZdOCDr_k1z5+m$}MK@K%{`!rqss02p#l zlkdw3EY6aj!3G{Fd;80qz;k;jm*Lk@7>M}D=nH(&@y+pym0@IK8udA^c(5nB%P1Q1 zk5J}l9D-fOjU?-Jl;tM3xi3hS&z(07!fBjzbuG{81}c>xuu7oMJBag;4$}g|X?gSj zl^0s$zi^Cj5@S?dNYN-`Pz$CMEDFc}HO%-1QMqGf?<~mg`S))MAT6#SRwrT<{2$1$ B`H27k literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/regression_tree.png b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/regression_tree.png new file mode 100644 index 0000000000000000000000000000000000000000..29c9a8b17499b5b064df81fa4ae9421528114972 GIT binary patch literal 16548 zcmb81bzD{3y7vhMloSz^l#q~=?(P)nMX7Xmmk5H=U5iG#q!tY#($d}CCEf6jwfEWQ z?DO7p-}~M_<_B1F%{j*ybBrgxzi05}wW8ER!iNY52$(X`;%^WTklYXu5KGXIz$XSZ zf!E*%vV*9MDjFKv^rF%N_!GxbLeo*j#@Ny2oxKr)im8*MqmjMA$AJe32+t8@#6?tH zr*>z(JXKC+?+$EMasv4rwse;pWL`@lw{oadqbNUE63fiQ{3erN{nJ7|GhWvDhDmCK zhjKXb3)exCUpksEU1&OcW>#d6Y>h4M8s}Ijl zh+63B$WeL~ZA7Qj3Q>wQ+5)fC&@$R|spW*bXnxJz(cIt%(=3z|I`U2~h5h`fSWz@A zW9(9yKb=pFgcbdDxXajtWpJcT%|NeSW@yt91)96L55FDRsU{}1(tCX=O_d+kg(5?n zRME3Ua_HnS5wi!^r@dTSR#%r*SD_xiX&DvQZRJYn-o;CdZ94M$^%C)kr{-i?L+K?a zG8a}6Dpy!Mq;?sy2IBiCBf4_N`d-q%^!mya-(#I%%-{k4h2zd=mpE%cgQ29?nDZCi zV^Mu&t#}2i1T}~%j61eRH4Z(aRI`CDI=?Vg3u2gDO9$=Ae%Y}RI$U7RmN?aI_CjLy zX#4b6ndQ{=mO}o{Tw9*U*P=W}V<%l|6>XkuaiJ#G*q+sL3wqgZdKFYAtKk~Pu%V^z zWAP2bWbxhGyzol!N92Iw4IAqln=owSqXt_{1p}2P(_~Rmw{DOE%IOS~KWw$3n z%L9K+4Mmv|mDlPp)tluEavP|?HpjCaw(JwT4=I*YlehMm;9-o7$5 zQ&WlF3Uhjl8AT-%WtdQB9hhT&Vb^=rudMP!jT5?ZtyDfql^2&?&caO{2NV)h`smj-oNq}~_v{(?KBZH$>hVpeu6Z0>#$)tOF>+LGC% zWyFiAOO?jCGvcGKDrcZmy)_!5dlW!eJJW*2!5D;wJDkEW{)F#eG9+nAAQTKQrH%0{> zKhhj;<*PY?TRx5aUP2p&Vw5EdF&vgU=3G(qc>2bDb2+SapIh%jJ_HUypx1a zIMgmwhQal}+SWf*OP_)oLV5Ij6 zn=BHu{ukR)85(yCHJTPFU6Mm(tn(^byw)(xE4wDbbu6EJ^!bPoZWRUszG8CkPn0h& zEXs;<^c9s@;o3d*$AQc&V@ThMQ>zh`)9VGs@5dq3>FLWN95ZyK)6<4C)A7=>RXM)l za4Rx)I5N>1e$cjp!Tqb8ikLK>?x`~SyU08W;b#2r6Q0~xt?ziLA`Tj3D=qu|3CsPDj4z4@R3)BbsM~PkW7n=m zw5}=bU1bv4{!X<$Mi5;IvEiKTW?$%(QiV3gyC%3Y=?>WfBOwtUvOw<8uD+`H!w7R62| zMBzc5j>xB6uMYB^ncuReJDpr02ZggJ~(xK*uz{{Sm-e<`-Fg?8T5cA&GXPC z%}eqzGUF1MLlPzRdv)Yu0r&h`=Bmv>TZV*g53v1Ogz1qD8Et>*cpkKA=sJy(xXcV{ zYkd3qb)~p^j(4|m*wkX-?F?vTi4KzqJ7GMdw)3C_!O3OpEX-F)t??$ilRk#9fKC9 zIrQ;Z!d<;%Nw!@4oI}6Br^!aXtDOpsQaxP=q}v!w3R+>vjMYG5!vm}R2**z9uCUMU zswPME^EV|qIn?;UPb@P6F^TZMh)ae%9c(#>P1nk;xEFN=VKR?rY+;A8bVAanql<2T zv!7s>q(|Lpg}U+ESv=o}2%qE6QA)c#8P{jlD*yW3LcsI<_i9gkn#W!(N$L;d{kZ@n za4Bk}mGA3MOHP5qqNWd;>E9os>Y`+{H#h^Izlp)A#6Isa6!WczV%w27rDZL&s%+Wg zVl_UTki-0RXHpe{_R4;xGdI<}`+b??ia}(PXB=gUO&+qMBJI2C(dV0vQC)kXgQNFB z_d6<`?jesQOg~oepFv!FP}@sE;>`UcK$s#rA2Zy&uPkbSn_U?FxcBz( zw+a&@W8=-~w9i4X{_B;-?(S}UMu_9>#kvc4l+cQF%`9s2g2qQIjbDVa#;gyTiS28C zd}Vb1K>Yf{)>=Hl7Yb!oD=W_Uo^1U1%??$g!{%<)u)%m{#Z^`{gCN-)HS6vb`&vut zXe%f8O~<;tJky>y#u%7HY4h#neFB|<5|o$2;iY|RtZGj#qv%ExbztrdO_ts-;|o(% z3QF^=&5K5^%QFwVG44ycNHyc%?^=0SBkLTGdd(?=rl3&3H>SWY4fnC{w(3Zd3LZ>8 z3UlRXF4m;c)@gBt@U8s3J*{qzjg8%%C^MM&_6|IlK*zSlAY8z>3c_cLOJN#T*Ki=< zrLCZ*I%#QM*Te)>h)PnYV}Y+IsVK{+AVV#DQ8XFWuFHebg1C5v>`d$EftbpcXR>*d zs=w$1iNhj>mi*O=H0`#FtJkioVyd33uC8JWUH=BNdYUJ-<=G)rR8fDpaT(lf^y?5_ zsrj2hLqB;Zkujv%=6DMi=(3)^DzJ@f)rnT*5}zF>%&Jh|n<+$LmX92M#uhwZ2zo-# zX+0y2Ilc4)o%#6cCSJ#0h7a07a@d8wr&%qAM(#hk$SN)Xcg|hkI&w7yILq;Y!Fl{+ zjO4-O5|e}7!E31r;t=;=3R36kHzP|+8DV)mPn{F7o^HaXt*4v3t`1jw^7W^6!P2cT z=_loLwybYw^$@KHx$^$}Z?3mN7j2eo9t@1QghZQBysk6o@|z&6y!`w`Hj};{=4N@i z*Uw!w_y?@l*q7ZZ9 zFW}mSva*A2`cj=ncaBl8kkh-SZJND+jj)=ntJ=IZB2J_)smTQ2*(xmcUi?ImhXP{y zr8WZnhNC_{mz@a_y0FX#kEz)?IeCf0q^U$XfJeG-HP_%aIy&lecQsGfrmUf?JUB7I z4Q%9ksz;bPFslzoinJ=6_h!1>`uf<+hQ7A9w_B7p#-Zj7Xdieo4iM%JyDfd8x!qLq z$;3<9q7l02`YIEhqnIK~2k!pKXe3YhF^%H&NvV$lUEP{Num6L`CC#_)vc7YH@Fe6n zun9z=?XmP4&I{Xzc2sdpx)2qW3d1g3S&%zy^v?O*-8`a{w4ALw8BtNnCe*b#SZdoI zFV(L!eUvR++QMV_R)~XxLqo?-LQD)<#G`1&wiS~=&vlX6=R)p}TcijS@HnhBoXvT} zEKMW{dR=1soVPw>Gk*OrqDr`b&AHy7Y+{bgOK|@3Wcxz&+Ip#-$fi=0fotCLXpWpx zDh!PNS5{zjNtgYw1vML7503hU((Vodh^z-T9d#&o)UE3_b3hYU^mC5)>i50R7X#UG z+-dhhMSbgbVbk~wnzn0+CQab^@p|r?{XVx2@jVh+bs17*UX>*!dp{p5HQe1^x$MvN zlB0tuX&@a{>2bE_eRG-OJY^P)&uG3s-7^?#-F$O;akM@@K8{VyZM!*?9ZjQ@L%pHJ z9T*~7X*pRAX6Qrm%j3-oudCDM>s97ym{k_TY-lDe*PQDzU2gIrc+SZ9I6ArW?$ncq zpYkw3R3IR%rKNR5@ZflVUMRlDt#NL$!bBx`Z#h;&uWWkv=JI5^%3{3fw#BXkOwBjM z1Eu%ts$AyWOn`sAxWj(Nx>B zYWNxF{qKdAh7Z^RSo;?uEpDfiCN8^E9F7|UU?%D~jjAoThxVi?NuIG=&(wfb@PK>_ z%s11)OfV&yF1HFjSw#DP@EGDHmx8~bHcfDEOe@iE)v_Eel*$X{Cjx>(jozOrtguo$ zBY8^a`jPTISxin8SUP-!tkz zGGus`{2wyq?~7l>@ck%r9x$#&PB`c_&0I&US>`=T(}p zjy`WLaEa>SgYgQQit zGL$iWc?0PqM;4}U$#|L6V%|v;Sb65-aWwKb?|$yh^TMp_TaP(sVsRKq`Cd#qeiv7j zh-LIJe&<}bQ=X*iQUo=P0HFa@>xdH{B!vDCA0Gw9Z?lXVSsPcuhHw_Ic9Fj4IZMGk zo$$10A+02uQfHOHO)4<+h*N$XMO8)~S%qM`vA~i*#W5I@0pYb1E>-&XRJwakKU)mT zWPGc*g{OAPL>PR7@48660?lQv@a&93T3kC^hUpCcA?b9 z8p+8qDxBK(&?WwnidSD`7Ph>Pi^&-ni_wI@61pHDmw|Laf;%$q&-%JT6grSo2TpGu z(~vkrc6~J=(T08u9NTv0qQmS8(oq93uAR%XHDU^6OXMV7JI=C?l%A)m$7+6G#iE7e z&sv3fcqvP$#U{)f!#H|=8&|OK=>+6;5U8ngJUczdE9{`IhFRvsQF~0R#{4s5FSdH& zFg+5%oM{SS-3dku3@#F&&?y&$o$VOD>;XNiuu6b9TS+Jno^OGLbx$R(Ugjv2nctq{-XwI7G(B?YrH<+uV@iD!cQ;L^K;%$hzLpS0LGIsV2{D>Q ztY1sjGAwtBW$Tvn$B}4%RZ##S)VWB{*pML`Bjb8YV5CBL$g8;i{9e-2xxDLS=xHzA z5jLscO^Fxu#fuF(EvTGTUXc#8nMRT)^}v78`L~DM-y6 z4^L~Ri=AT0ZOAih53no|K&}9bF-BE&%=k@}8e310tg&TxRMkS$aTcYvHqV`Hntnc; z)-+KC%(E}~p@H)4@N!O0(W^LtH`VJE#>01Ko}P2jRaN0J1P{o?yUrW!rk6(SYjuow zi#)l?41fLFQe}!S)aI9D_Q!c)fS-GqmLKd-%Nmwe#aXqU8 zH%RtO+&RZwUU`$!sdi`T;Z3U2%_OFZEWAxHgSREtw+V*=DFHXB{BP4xp9!aUP?e06 zdhl^xE{93;st~|v__1sCkIrIFJvryqO#waLLDHz7l#TPFPEz&vOe(`S&y^)u zp+=F4R2Zb;Ua+Yb^|j&Xc7NS2vZEiBogA2Z#F2Fc7z}b~HU8 zJ)9Jj;UuCW7vIiWXM45h!h0RmOQ3QnFwm&9wn`J>!&kQ-nfIbW-D84Smb%qL=>&Fe zs5gzu8Odm!HZB>DkDwJyS?y6c|5*MjU??ZznAY)H(&Zwwk>}X*~3FWJ-7XknX9vz zNhCW!fT%i|c^Jy; z;!x+=HSo-lw_7fy<#b@Al;eCxc82@~GN;7=;TKd4kzlsn@}Db#V==u?=o18edq?-7Hk{Bc>Jl(&w*$W=^$lR$td>Acvfyimx{{7#KdKGK_!!1&dW z)3xp6m#{p_Bt@&=pCh=E*1D?a0{9A zP<1VQBc#~$OZ5zHb3F|8W<*%9b+&wvYxTr_gh2fiBkHtqQ#k6Vzkc^_t?oM7=25CA zC16Qb>CEVoq8SkanRh*o|3VT74^zD>59=fb zs^-sv$bxe2>6WBtDp!$)Lt%UsH8YQuz=#N^h&2BPQR2U$Pyd2haHs{3;J%j)$KyH{ z06iq00%6C6*47KiBx=Ip#uby6oJ39t6Z>_Hx=is|Kq+!0E%^sOgX|_J4 zlmt#jbX{ggD?X~Dz4AD7AwusTLA43e8!~=Z zmf{DMv!Psb3BAT1)&md8uf6Zq(|m3h{IG|T46Um1LnUdHQg!t8eTHOcPBxxAV>cZD z5G-?i+e{^$u|1sZu9fWeH-LNFoAj(MdoxOc7b}rcq!|j~_tqo$20z|Mr-+mW#Hv&) zOP<;R|FT73jI!zoj^#tkmFJlL0?J8~STBGydi+2}kcQW)Y2;i}8PUE^< zhMf^}1OWX-EAnoV-JJ)vyiJewMQ%7~Cz`*SJ8L>$3jX7C2dT#nI4xDmUlds-Fa&aF z&rvmvS-TFBMyLC7va)mT+r`6*e4#LuQ}?~vb$AY_By{8W{R3j76Ulmi+TED8jljXr z$Lua1c32mt-K+MJS$31B+sF}d*8qFH=y zkJ8}WP)n=J`1OKTVcRT9N*8qC6iX)1GHT~@o|F@3^VRIWxw-kni`hSHF;hf0<2lxsxq-N zJN;VNW&YsqqTeUgeJg*z@oWy;`?ntw^BG$|e+Bp=oNtgczpYS5o5V*`qt$caX7rEy zT~9&nGhl>c{>y?(hBu|}?UDEqStk37o$^kQP=Q>@!0P(?Z`hG|&L0Ob0?)1dTn2nO zsj#riL#;5!rVOl&tbfCf5?m7pV7LT~x?|v=g(le+sSRJ0AHY{I>Z(+@?>cN0O5)`h zNmah4y=gS_c8jzd1L;zH0dW?WVqrnAp*j5@X;oKFM}4#}=A> z*BVf)RY4ti(|EB41useOsy!d7pF^gvTkQ<_(vvb|(s9yZOLkMs1ip#g|VpSqjI!0a_+Pi9> z-)40AN-goalr`4icr{q1R(>=gGs-L$$_fNVXqTaOiXLwY)617rg-Rc*K0#R)`hRZk~)UPQ`UU5Yhz?& z#OJ*8l+*I*dKkp94brLVb!e3Epbaa&(>l4S#tL9>YscC2cYT9~t)qK|z zrvE{!{w`3rewz5~GBc>)<*VjiOLRKXudRxO0yuIOQI-+eaZ;YYTTnHMG|TLkC7p9& zHNStL-+14>h}RkFTeA!FJp9Nvwu>W*_RhHmLphweAkUn2=YUQJu{;C5LC1XXzL;P`P*6}0Q~eGwv)OnguT@k4Tulb% zE%8mdiB`Sy?(ycZ(D?$g?BFY4xet)FZ-1$aFt|Hl7UCU2A~rF zng`1r&BsG>s>lKow0Mv@M>-J?sywny9NGy0`?SOY(^m5HpS=gn+ zyHU4YGF@gMHGG7`O-L=Dz~Xi37}zR8H(;gfJZS`*ylD~|!e1h!EiQX0?xQ4QCY zFqp@MB_(hoOe9;K0)-&9)gU_1oZuW(4j)$cV18~b> zX9*k@V|^)ncgMLx%0Yb<@7n-nS9km^pd(Bpo&5#~aVaiyJnP90d6MfFz;#xGFN8Jw zRM0FF9||hw9s%M=Wy&|LGO}fE&0i)W6w^RubGCFC`n@KV+Kb{je{zWchxV_pBfBNb@AeulqdI=<8Z2))y2qs{Jh|>+US=X+{`68nV{{D^}vy{L> z7z)U<(9th8bVD!nOJaL)pC=kRg98J?1Elm^fINR9&^zzZzm0m6P7k-CAUdHj4bLdn zt_DE*6X;p<#`x(i=_nZf-m_z8)NrBObMT65-?kvh`ZE2#+4s3SYreYyh@7_V)mh5E z=Q?=#4E}S98OIj0)-DYA(^pyj>)OrU0wU82Gp@^__`$1dP@6eE!k6 z(OQOBp!GDY_-(UdhQ}13&z~Prg5U|AT$~mU9;yfd$2(V@bRPsiKtR#{_O>O_B=rKY zSY7wcZ1_oCCIYA{*YQSH_}J)ZitEysvw5Gpz1jL&8B(dtrluwkqk>=x$Y56>fY}F; zB+^~d_r0Q;ni>Gj{U0lKuG;IBy7VRU7+UpH$_#-kuTHjIrp$5~A(f^;4z-+|9fL16 zpWADo_JWtlq+92BxY9LpkK|}T40{&DGMJc{1|4A}{I0(X)C%)tsx>;R&UmOK)0xytsYL}_bL0TGZ%kM3 zYv_AP*ww`z9v&({If0gVjY>%_4*F!{eFUAqUgLr%3;zwo?}g6RLFJemD>E|QjTWe> z-WSnW25+;oSfJ+90atyeQx0q z@HdHI;Bk-u5SZMjLUIVYoTtO(=d<*VyN&#NfgE z6{a@2miRX1lStG^&e27nGERymzibwCVbD8jlIWouNr7`1&$Z^$Gp3HPQBh4 zlDeE}zuVvB=h5$$xh;KV1SxH?$}(ag&%6x!&KFFMr6b9qB%CB%XDy&ss&Q zr`sv?6Rxv1CaCpG+?mt7{7yXMGl|7985dWP-Dfdk<!+62BMmAB;P zJ?~jG1rP&2`)^Dkf!>&FFs<3S4u?tWQa@ssBCwnkvKYzhA*l%1X3fXcW8A=^?oHJ+ z3~6e3`OL|bJYLC80-TtN;8;80SgnNdJjH49Pl9ZZecX$n@Rvr}+55^C)jblhD-+K4 z6^O};XhcX~b$a`P3)q&w(negn5(VLIe2I|%*ecsC_-d6 z$zMRT5phPwG~Lkhy3@phlRHJ)oEjFodDj}c zB0bMWLs^bl!AlHvCHXHNzj_TipUM1e;EZPILGdffKD!q-x8|U2)b-Y3QXwhR976F_ zl>{+-^f`3*)^@-kYDn4V2QC^YhXU#V(wO1KcR`D$Kq9P{ryu&Qql_xp7TDU5P#yWO zHDPfy9(k*lV=kCHMS65N=zI!RbcxhdTGj>8pnymPNJ+E27DTxF9Z!-LpBfhzn4%Pt zrx6d$-R<_ONO3QXUc=s}SlZoRzFLj>`l6MoaMBRQo0K*eYdDPfSow(>Y$x&4r4@NQ2~a^_^#=z5_UCZql)}|IXX}rFm>&|CDM~q#Xl*=us&By#m|{W9D=$V z0E?B6^3O4!N;Mksr;@RhCVnUkbsjIeG4?p#{j{gCUaMdDWj}{5472NP)QGrBfcfT6 z#702{8KUG2|0IRB2JkY_cBdVN$OG9dF@HvNiSsYLs>bCi&zNM0T71i0%=WJeggt!s zn18D#nCULh&Ia_pW;I4$F_0MDf7)|!^zAD-Srtu>=tZ`99;U5 z6PXVq6&Z<7W*#5dK+dy{nsNz1MEjrv|3JV}%S|I=WkoLHM!2 zMEp5y&P)2+AGV*yz4>j}9Q)@`5*3kQzE-%(7JtsQ2zgI^XD{JiF@VEjrvlRx@@7cN}satWAD$^%v8TMykdQrWi` zhSjLJkZIX9SU$PF_+X{s1i>RL0ir?eh%py<(xNXFOQbTHH9L^ReuOl+^doPS;c`TYHVn$0EBuyxI270#p1tAmV1^eKh^varpe5ctIB^w-C9?hgT&kJFx7qKIq!1 zq~%Jm{6ddp-F4=t63kfg`2~xQ=hQMrF7_kEThs4&urvt&$RpMZO416JT1s;586zep z(k(Qo-{1|?z5Nu4p9^39t-2y$EWS9qD=9fpUvY9PT!Q#fVDEg~T(Kp#gg`+D>)Q{b z%vT18^vctte|7!`CyBk;@swNDg-`Tea)wabs~z_I@#?8pje67R91qF;N7fzpV?MP+ zfk^PJHm=sYrvs&vQVDenFp(0n&Id&mX=35j9p-Kj6bJN4bBg5s?};<7IC9&FCAFWItl9H$JUif?8LT99AUqAFO;Qk- zHrC*dyqo^UH;>NFjZ{_%E*lZ=G~<0_yd{4d=htQ&(PM!&!Eb_P6&b6( zBu}$XHq)Qiog3#)zf=j_^P%P5;^RgQDzO@-u3t|5`FuWHHd~atfvnzp_ieq^yIJn~ z+OoZ{b)T2bzb%)(rChe744OpD(A&mNmIp9 z^{1}Uz6@!-dLS zRA*y6HQzfjV}RP^DjC$HXsz7-*IUI`=U*N;l#!2f2jKl$ywNl&W;gu07_64Ddm@U) zc;);%#r^16F7X<5bd%U@?pWYl2>m=el~7&?TA|$D{Gl-U(DZWTZlZID{pU@D4QKFf zs=*@Umb99}nJnX$;hW^?Jfnq}yrmnyqCNy*GZ|n*RIl$$pA-uGA1h&PNBWT&l3s|Tdy9z^b05SIt)>bO5|L*= z5ZX=0i5HKWNewsRzWLI+%`O*ZT>Z>1ssCLRm0zp*XLb*ckAD{YGOV$@7DhO>@C7v! zxQf#+SMr#PcAin~dJOwgt$GaO%^4Kw_M%)?g6$OP0`ev4+V^xtvN3%M=|tk` zJ4reb-2Dx1JgpFyFQ)YBRX_n%-FBp}B)@v7G!QgC^hx|r`!4<-LjH5x2YmYncV*nX zzMO8ICA+2%72`2lCE+ z$*eL|#^0d6mkp>3gjhgQO9jk8?|ib~JEy=Lh!sFEsm{n)1hz8w0#u7`>;X)ExO{ghCWaWY+oY9huLyU7Da59Jcd-wg3`9 z4_HXqdkHB?^^e9WeYnzl7PWc0uzSOnKS0~8mC7$$hew2JKFZ#jfEf8_v2VJVpe&o~ zZq+!zFejiS51WKH#-3TfiJus&RHwGwAj{@-&x#gIICq@?ftEMYC_JcVC|ArKer7qR zsmfcibETYEsiIS@7{{1@We*7>TXD=!5!V6q(#;d1srD z5+*QEd^yFGPrtR#q?%H!V4*2>TH$YgYkkCd4;OIj?|9DKAA@krM^?kMS^)}2DaCh0 zjSfsKn%{>*yIX)--Yg=EQ$&73CxB}@ySJJv*gUw_XNWZCvFWW(DgvSs<$o{-5|^-; zq2u`zyC?rIA$RKZ?x}m@NEP5ec5Pduh0}AwMxgq2QYWWCRG&4QHyYG6jmP&Y{aLQ` zWK|%Pvg?54HAo^;F7qioX|G=BRf zC_P8TCT#$85YWz#gs?$S$m$6!McezbQ}%Gam1u&QGV4G9p(|RAKD&E@5}fFF;Ywxh zmWE)*L?(@YF&}Puo9-ICCiff9(~|^f*zdnbnH*#W!#N7`H+wGCHuHk-f1+)TGXaAG z1OT6UAiBcB-=F#$KRdg@!JJ$w$!KfCx0!l^#fLe9M~mQTquTOCoB}WwZ_smEi9n#q zx$n)?g8EVNY_R`rNjO~a(v$(eu%I9lPpZ?rN)SkspmI3|39KTo+wJDtZ6K~;-b0F6 z$~#}g_TdJw35XpZ-XNHgj9Z|$t#n2Ab1!3jJf(HNIT<(kmC!Qj3Y-qPKMuUU8ct8m zhNxuiMzk2>UdYA80I2*B!O+UL+qeQ);<~!a>!bc$!ju(YXo`!9fHk9nHwr)5kkt+7 zprGdW1X!0G!W8qLpC19eZszx5E8YDMes+zpaRAxksTGrJEXJ8W!qDO6zgU6GfW2hn z0n>#a)IsLsx!N5I6pc5I*$gkl1@Eqp?xW+s4l3aSrJA4) zG)bOX7V#}}ANd(4pshFQB7SI72HAkc0hN0aW<>;=)(ms018Z&8`V0uIQgmT(fpixb zle<2bCNVnTFB*e@Kzq5F%UriXAv;L&6eFM)$`v0Iv*HsXP9b#Of*m4B8H@N3XFbBB z0K7T@FxnS)HnVkVxx+v-Pfgzy9NIkYjHDC-jk^v9?AU#$tb-OE%#sdQP-A;}w%_c2 zVov@OE;EEaW227mNpV|CRL#-80N4khqqr`^f`S4ROhRDRS1=}=TkNK~dNG6psM4S$xk$UZq^U_z=r?eRUs;6_x0a7C@%jF*`pw=zk-hS{+rN{bh}2>P_(PyDVT<(n|aj4{7G`>ekdB=$B*7;-!D}5d3;_@ZR*v&n}PeT%64>>RwP@1^SK- zuXdD1rqv4NaqjTURI}UaKdp3&8O!xM<;u(%<4#K~@VF*4OYFbu>I)-Cle`DQuAe2< zNNK6sPP-|oDt#wP34FQz?E?h8;USpa1Sjp0XCr!irKcc!9iLl$O6x!IOxGn|Nj^-s znF^A0(D04rwl@Q1Z}e0dl7_`Q@RUDtYlh;Z#ac&G#v{atD&1lc3p`P@ z{Qk{3I&{AmH_*G6#beMW74x`1bH(>EXa@?qw$snY!`rn`@U^9Ghsc-6t3U>Lbtz^= z3Qq!&Lu;;DJNq)`7PAAI{1{tHU_sc+T7-{4wLmON+?70;lCF3BU2yoa{to}fxVgQC z*riq4MZbzd|3$+zt0-Dzu^eaWd!iwIH1f;T_hg!B6O#jn-y5d{0ZI@-B`n*BI%g(z z1Ztr(b*u)iS6?|+`X4Pf|27NzW}Q4cqv_IdBowRf$~k!LIL~zwM9Z0cxcqz6L97+^ z)7Z?W#wSxt950kEuS1_fr9H~ZS^a8$+frCKATtBLl9pSu?N;G;j_33?T2cztC)t0F zO7mujU6=|}Nh9Z^9{}3!tLQH8)T!GVf%%Xq8u?em?63-@M|UOT zr%nMd|9Kz2#&w!}C7(g5&xm5ZUV@=UMdw`mzK0C=fA% z##K!=2Zz(`%ypP%U@u16s~WA7eoQ^VNv&m~y2b6x7D|ETy+e#gq8PAg&(x&aIEl1} zH*J5>{wT>%9?;&n8`8_*y}F%=*s5dTDOlT#b7LlsaJ2zyHQ$xg z_OE*!=-STCRBc&yVn;CZnNL*l1y(sJAPf5(&7FGV@@8Q5aS9Fehi1U(~3lJ|fQ z7(T8}HpqU+PVoV$tx@?u*&VP~;IEzX@SlHKg@0Ou|4`fiZwBW>YNic&=`}R=477xq zNW=tc+b_UQ0qhs+AJt-m(%Adpe+JOO|1SW%atvN~_um>UN9H@SqoS$jZC>I(!9@r% M5{lv_qHjO`AKvE!TL1t6 literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/separating_hyperplanes.png b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/figures/separating_hyperplanes.png new file mode 100644 index 0000000000000000000000000000000000000000..6ce847ff14692e48d3863855792ef348948e2d92 GIT binary patch literal 81893 zcmeFYb9bao*Eig;ZQHgru{lX5b~3STI}>AK&cwEDPi#Bs*m*POd0p>)e}iW|Yd!Tx z_p0vWSXH&Xcl~yRl7b{GE-U~5K#-OaQvm=VQ2_wZc4)}YUtq5(3O>KUoxVt`L4OW! zXp`{IIgYcqrn9P@nX{Xrqbb1L*3QP1!O7Us)YR6=!p`{;tV<98AO=W_iKw|}o~@g^ zqnlzuZXIUX9ES*_65nn_`QIW2601O9fMb9s>xn@mlZuO!Mn2|&k`jv_gGT!M-(q?q zF~H=3&yHPWUk-()oQ3`XPuOzO*LXK^Gn<-J;4z=%W0MgB7yDns)#4ig0Ofy%slGKi z^8ZZZMgK3ED)DL}bGNd>%ZTti&an$*3f$z{7Y!cqyHj#zMunQVEFGH-3>@DXs=z)c z5E(Q*U3^S%KT3OGCk6h#P|Iu*Jg}Z<1ByrsB(dhb-$uEwjnK3?)o+*>rxajo4?q`1 zyT3=xRhzi*^AI#Skdo$G@A=vmCk4(v?M`qgf6wMMTqQ>TvsvK=|BIiO`P8W>IL3WQ zAF3$xYPS8VJT|nJ<|ZJX+FVI#a3#(Ap2oDWoQ@Ui6qa<9a!D$e>PvrMb2wfzb~BD_ z@xA1j49C?%zLV7WNq0DF^43bG`jw+=sCEd-QX*Og#9!8dYgQSb&vv1t7jsb=JX|L? z_t)ip{(MVRJaqz~4r5d6@rTggp&+`u`e1N??(zivsC>gh2-l0jsJ=>}2fVx32`Lo@OriNp7*fb!-B8#qMZy978Ls?qL`v=A=0 zdI`OuiRSW`*Cg;y|t1E6I>^LBQ*MN4>}k(3_3`PrsIa{L*^Q!Mg_YDlX@bb z%3-Ql%zLy%DdfChU#?$^(xmF+#P70yy&%yh!gi#fA1`(3qQi?lK>U)cut_!m~{n4 zanOSsj>Hwzh%9j%6Z8II2m%msar1cfR@qaqpWmY#oI%U)x4=d~KRrl#uT|ibqK|+f zQITb?IThIN7awsN3Er>UJ9qo89fRl9{p>qdMw&==*IB#5c&;xG?Crd;cLhpppmNMq zZaTkuu=tplqlvm2OiHd#7aEZ~dUE$MxEUr@EyG@V1NmatWIhm{b_3sgxkU9uf?y%y zSJz=E&5<54s$#LcV*9R*<9}1K#u2FA8admmD;0aDxso8JF2;!r(LQbOpMWOzfFo^^ z{#vQU8vJlYRsQX5?|p^%%AL=rrA`;y-lAj3%G)R4Mxyp>6XmU>vabc34=w#+d$$&n zT37G(i4CM$uTMy|wLn3csQKV~T#hJ_)Q<`j?ix$hXP5H0Ylxffxn=0YGOp{C^4JtR z-^iQ?y`i8@M(+(-dllU4`zJIYfZm)kuUJIn7&iCvK&-HFLu%N~;-oM)Q_J{*0nYX; zEwGXUwtH*>K>-phlm8}9u7mOMF;%qr+&-OrYjl%s`k}~@dgl}o%S|7>VgobC>{2+5 z0tCf$Gx3L-spFK4@Qs9&l>w`D5bWLxFXj`a5j0 z&&=4%;$(9N*p$3CMhzlzI=Gc=39-G8>#uie#L6M~GT!W9fHHV*8KhNo(>JsZBaw*b z2$3XG!P&v$yNt3{quMvXbP1{<-=pb-I+;dh@2+4s&y<08aWTn!B5(h|5PP_a(0}IF zr_urugwcdZ-+$Dkz0+d!e&y&OUI}Wd)ZyV4{cMW#1r1*^EB*}%1x5LOD|jVqg}7@n z@+wBQnuWiC+?gt+q7^jiASfjZw@=`Y;1}N5^Mx|a=^iBBq8_DJf!FU$Pj#6Ci}D@0 zGzgVbezBrJ=?}%V$oG(28lpz;2azT%##>Fam>&~p)4%hD+64r*E!lh4o2V`8iDE+} z6A3wO5Qg4c`ldhW`{>2fx0e7HQraH=(77B?y$2ku8pPYcO*)8V9NRTa1vgelLra=1 z=&#mAns`b0t0LrS*O_lHLPe2e#FrP%8Q*l|JA~RPn|=7VhJ;o?B^m z{v0AuP_P|VEr(n|$chtnBV^lkPZ-;)94e=}hWc5(IR`~05<;5Wq5ql&7ZB73DqZ9-Dz;Wu>-CO@Qc~|nH+G2; zKi{Ild)3gt3g~Q`%=eAZG0E_6V)~TWh)t8p+~9xHD0EsMJ82CJcO)k9v^L}6FHJZC z3HTi`4%=A#?m7mMu0BN#5WDeET^QW-qj`U=x_0H!Q1euv&rhjh_=zF4l zpk+0%sZJw`rf^7wr^`d@roJnN80piWq1RY|Pq5U>2r?}YOKpqwu4hq8V9Jnu#YU~Q z^;dInyL}@WZ7IL~hGAshc^pk+8DH-f*sUoG8RsVsdqm*f=$L}Kjyb&ixR+xUKYiD? z=V3QtIPQ=7P)ans*_2Qb72&mC!0H)rz|_H|lj7nt78NCvF{r6gtS1%8eh}`x*cqOd zRPZF4Bq*$x?Id&Y{@Rr4nrZ|Bk}$O@jZQ3c$=C@3f~r*A8od-x9J`2zVs%CT-6*ho zUZt3xfOO{r+t)CfvF7s}!Hw6-pw|N_fiA8~W7Z3vAV9{R zuT9HZJLhf*65VDY&Tic^-`vS#`T0Gub;QJbimrq61!Q}6*6R=FB|+Iw>*9`;@CC!`e7nd*Pc7djHic^*8q7Mt5#ayX3rI z?KNkXqc+Q)qVG6!Qm^>Fjg*ARFT=BNFe8-X!|y@i;nZc{$St%4SU~gF^pZC(tmEH9 zTtN3J2r$>{6OEVp-_|u?Plz+@+`hRu1>IiHfltd8DTfhFda&ACH|bWgFnD8CClEWCYeP8=td)Sqmw8dm=H;P^4} zqBzV{g;kdWMMw3U+q+FnuwGbQnv01-iE-BBTjr8!2kj;&Cv0xwj;Pz{TQsQ%=K}*V z?@^&ts>rpBVaNKK%<*f{y5i9O)?x*D&ielE2=fkUM{dMb@c%%){$lML7;>t+gcLl~p zkszR=4C&4X0m+vetiTl8%@5LbSUmi_)(rPQI7}}_IGPW&m6gQ#nUOKzGGRkjyd6 zr|SF>SJZ_xecZbbE#HsBTzr9A4Nis(YJt*y)T}^Z52?Q2RC_(5inp6@g})SFl9XZD z2}tYIt>ZfaB=@&sU04tMFjbZc!KcYJ!t}|LXdxLdZ7;m0nv=t19weF{nsG=0AATPVua!q+5+}vc8_`o4!p3)%u;%razbx z{Z3s>*`s;TV!bf1&hX>0T0%YEDS^rDZxPde+8g4iwfR8dsr?}O26WN?eP}1EWh6f|Vj)WQ9fE({^QTYE?6s`xFsiqzluic#AIJ}zc>5a4%8+59M ztB|t(xUJDksgjA@U=rD7S?GP;JI6WQm%1W|Xm${}XCPvzfZbf@EFE1cKq{WbY-z17 zc(g*MHm6zf3?5&v)`-PlXZq=vMXXEb5m}sMk%5|gArVMPDA>~f>ml(u$Tz8?q?eqO zRBqDxCzUAPK8DY1t>vAulu95T4c+E287^@suKq9$A5PcPF!pb2f8m=%!m`U0J+~$j ziVQub3>Bl{RpIB!SNX<^PlkPbBiTf>WDH4YB$;T+8t;0wf6jQf+4t?$uieE{nHr;h z!bA8`rE!t8E7F5XmFV)=PXJ6a)|(o^*{ZVJI!x9}^j z9DJIRuh~RyQiOu#LizFb4|~n#rXDXpV;mnxQ3%c znHbf4#18zmrfT-)Ay&E3&UolHnb`TKLp+F~#M|oJm>gfxG2P@>cJrnbvznKD>sLq2 zRHKT$0v^BN4b@cgTLl$760uq=q$BTA*{R=MV~wJc`&W}3*Ka?HQ4Q4c*(cOh z1zgE`h&KcY^N(K(H@bOh_xCs=n$alDU0>-%@gAxE>{ZTs-|yEWVS22%40K2YqIT#p z$sG5WJpa7j-{~^F%mb@6K1X7$)&1_EDm@YWtUm%YIc#(?(~YljVJbWMOd?x8lSpSN zQL-LXCKL@Y)3>He=?Z>nGFo>1<9cRx8WHBPd3 zZitkm%uAXksN&b~y6N%T%zkVF$PG=p+E@yCtNM#(V@QckX9O0OOe!d^HtPHKX;!ZK~sG2rqmO^^+y591-YoL~fCgkgluvv0^+65;nAiy#HP;i5U#xXoiIDK|r zl3h4SmMq<4`yDG%b7h&6^^3lO;F^s&cJy8A>+D8jcADN}4u9qx6$h$;mDHaPRwb43 z9(?M8#Dp~+n}cF(5=v6kF26#xY0+FdQm`h0GzYWlcz|{dw}q2?q_Vw(mr%;JC$vEV zrc>`l7h#9=22&xLFx3<98)<67TlB)!1naL%mhZu`o_H|G)Lg#>E(}KZF=|9Sv1Va% zrL&tpnz_Ev8i_9!?ld*Z3I6mZp&ZSdqFu?becFsin0fg4nC49C3K|#6;n#`^t~}4G zM>sCrYV%vSV>h+XZuxn&Dlz)l@TSaIsHub#J!RONL;Q0S37LSn71VA_i_bxJ5As-7 ziOOH3G{(=JePKO#vvKp7a!ggH)-;7p^(3M$uvx;@6 zBt2^5yAO?VeMia3q2z^+YwH8iXK`Tp%e6$H)a!kZiX42sr!?9?n@32D5H#QJebqxcRn5M*?$VpBy&rdCVx;&bIN zOdn&zsvMB5s>eNM1Zec^|oLy1#Lb-{%Spm@%=8!5FK zF*k^Z)91p}fKZG} zF&8O2Jcp@L8rZM$f{VLf)##kTtd-nwPQye z+)501S$TMt$b#($VCKk+90s7ahGVve8lM&giAF)^hSEDqiS-ymdVxb7Y~DyYd|{31&GXNr-%@JaI2@BWmZe zCg1R$^62)8qX0Vi46- zNe)Ta2<7w$Y*t*fvN6ZV1dNGXpS)OxVVb-P(Vv)?7Sc_K!>BLr@vatPRFeQ~$VDQ+ zM5y4}(jSFvwR=+WR?``x&G;;LlqNOROP9UUHZYKw^4VACB4%|L!VV#!nTT#tr(d+I zlLuKgl^_g<7v184_M~m;Nq9e$GDmLUR6OAlhW)YOmGnDa?bhh5$0ObGLPL6E1vc&W zTa8_=ePou>;EvNc>>}*>blFtf(aW)yh2`atBTd9?h;^5rwH*FgrOPM;La1MC|VYATGg7WjG@06IV)kTl|hYUXwA7I)rxaQ{$JR(8}NAG-$EsS|qn=JcJWY zH2p;Hu$PL0{&aL<#!I!x;ios)EMCyG>4Xn>w9O6Jp@t1>iEpb|E+;9qfAm8w-9L60 zuKo~aPgY4gsmY8|Z(Ag8k7AC&Z9rEkWKw7|1oWz3%v% zqVD$`##t;&5G|Q_#>EVP;k5aS2r>~t;^+;WYRZ4%^SK9kYjB^2=THswlIYj^Ki;f&i9 zBnj=r#dG-r1PK7Y&ztMRBS2iU^l&M%ls#ws1*jsP3-zPfnA9^yFQ8zA(9?uk4U2%! zP2w>2PWe{PHDlv=_KHInH{VJ71Dz_!hRHMkdsE|Z2^hHPJVAnR#Y1 zcp*RC*@DF`-MxWf<**-sG3ISglaj*<)=GNxXlb+bf|I1`&O@P#T-d}QB3F( z&!LVMSC&h?B3Z>jQDup5yj(FizAG*vouhO|YAZeI-X)gq9Zoz)B;o6A2rs(<__`V< zE3FUge~a}avzxV)pa4+}c+D#cy=!UTEhQySD)(nB(d7hR8btmSI+1206k#~wmRcG~ z&5uFD^cBcP~H<2()aFJN~a03f99%YePJUCqhWvXh5xFZWUdiI zH=viM@@&}M`#XO-_ga1 zp6`$Ep4FV>_xFO~V}zucIzXQ1!GdnkV9%r(6Qk$RWb^?cHznhRcKkub|fgW*0f?ifxtCTi-fC&u#-Q22^V;#hZWkH4`|199C%u zfTn8%nVagy=V{&3EMkZyIn~4q;}qQ{&3+hkfPhF0;~5v2liDGSg?NwH5=ED0wdYxZt`N7JlBizPz9LYitjgG8lUxVTYTN~ ztxeuICKPY+>J>I5XQfm*r@ZUJ{^szf#l3B)J|3gNG= z?Cp6#0m4D%jEWY3@_097k196gC^ou5!{MuRO*cx=6ewOunakMM{hzrZ7XZ$)uK3Y* z3>}>;0!E_Kn5?wB8D#JG8^+*4p+^whOz+5o!7&WvRx`NC;(bJwxB-A@DTW#=YQSoI zW6{ak!OmlFg=3Ic>FS??bh$X6bAJAx^^$B;`oPokEKT4L$L(=47Of#u%Bw4)*^zRd zs=1o0{k-%Xr-_nqJ4QT;GP1krN@ISeu1aj}h`o2^Z@ahyx<{*PX85dn_<*KyB=%l( zXGULY-6oFFEZs0arV>sx0r)u8WNCEL0_&z&`DkbnB{8ky2vHp!73brXe_{!{P+EeS z&VG|5kS=xpbil>nFRr@@2>%0y6E> zs6}(D;<+W1swXf7aGB@iN~jKaD4@cJpj;Y~RE8Kj>xA)s#k~en9W4ncicOVD_7C=o zZ<#G6T>Kncjbfyvy(xHyd#$8SmdhnN8pz7A1M0-4F#89H8VLSkR0RI`Eq;FP6Mqnp z4&*bYoZO9fSkKxV39ueM0&+@Xg)b2ilsMyHq@eqHC(s++;PMa%Rjma2P%-VQ&lBhfHe>E;Jr^089~i(4ob?`IPR!U%D(KW5 zi2R8KW7+nTt=Zlb&V-8*p1)IFYRu)LH4CfDAH`vug!L!p2t=KqGv_MKZthMPScf&ecotIya^>L3}(3_w(XndKEyB{=ZOwk4%sW0>TSef5ZXE zOW|I!)Kp>A`<((-q<-MizkXLiABKQ8DNxU-#^#uI$<~W7%4STRtiP1R?ljijgop$! z?%eSdDH^+Bf%BIHs>4wk$m6{;Vp~nKroqT92=}t4*=JPfJK%V^SI+^dJQK@W-Uhai zjdEN`2Ocji4Qg36zB2s8ae+YDm$D{TN|}a0|KhIzk}}5a zy3@D|*0IkYn-v})9HcD_^74?dxTchA3Fl1k$kVCa2r(2`WiaKIr92MM4Aj_);*m7q zx>LAxzVC(SjogiotqTY)fO4Qm@vmf-!IZU;ibsTqS|Q}OY4L>ViSyGvF`n+LJGyZ{ zo-lme2}@pbphOq>NtG+EM?k(!@B3^-V%?E69!Y~j1**vHE1bI4AKxuoEi97Sg?xPq zNPE~_t?Am1{MJ)4Aa^G4jOB~HN~EiA>3=8#(M@-pv3pB39(X!NWwa7N-K~k~vq;dl zQKSkqoQk#3D+7&uZZ)e~t*2%J-*XFs6xnH+Yu-9)3g->0Bl)J(L8HiSwTVtBgM2du zTi%5d<(FFCO%WBCr-kJ#v+tXiA}i@|*0`(B3S7!7v>C>N0LuhAHznWpAEw={@q54b zeedtXXb^mX8fs$d#uD|+wb{j`)*gnMbjzVgTu#o#^v@58R;u1v*)Nlx%9O6E|JOV5 z3DCM8`LlY8oZS~`Vpu~Mz4z2|?^Kykmm3r?v5Tz?19V>vu~w+Fd>vwy#Ra$Z}Y{wd?8 zYdDZ)Ea@<^9az29yG<5e4LZsLfVj38{tWUl7i!bBK8=JzuLP(mOmYe3NzyzBYS>=^ zobPd%_cr43g<}UBh52)$UMC<&VgA@Qi_>9jiN5<3W zo2wmZ?zx+(dvNQ);oc*{gu_%^EJ@=)_a>FW^_am%abh+-(TdImA4a2p8gA40O|i4= zo^2b4V+w1uqHWlwtzIb1c#^?$)rvEid};8U>iY(AP;go;IIO1>cqMODBOuF&_w~wh zgHWCyo!pa7y<8_oUqdfIJYA_wRuWy7A~AWXLbH~&zvmJ=gaOXCPaH0HEn9MZ6q0|& zhC+46i5|FTh_8s;tpuj)C20OJYj%ndygt5{tl*JvwjRk$Ei&Ht^^t9@hnF-@bDD)o zCsTK8&Q{PCnzj0a_!Btsev84IE6O84ZVQ!C*&g`IW~_#D9#*%L^GNMd*(P|Lw-L_v zjRoJw4>s_R66Ray&$t}(JMr&9Tld9^(;p?d&IfIZ;hHE|Rv(3p`@NLbyf6CF;Mv{+ zd2~8hF0dzni0+hz58@SDY^rMCw-$D!;Ia2veT_6E`hnUx#D%V4VR{{JY%}V#(gkrB zEaJljjBlD_W`&=rAbv~?_$cl(tb2zxM_LlG(VGRlwkyTH^vhB~8jn3JA|)*QCDu$q zMb3GxU=Wsb6R5+{v><&>8!Xm2K03uKG@?E`*ffb>fOn&U_h$hGE~0xyx$jCllFeLQ z=VccRKGO>a^GNyZj%(%!r6D}e)6KccB)B$n!0pm6xXZSfe}yvh2}ZQ*6{^V?ZELw6 z;iPc?*lrY#Z~+dQ-x=8pb7F|d&^2~v0U4aI1riSZ_6e3WhtbKHH77lW1kH_XU;xiy z2zc&gT*DxdEB9ySj$^f`RK_k?MAe_1^wu&h%VaFDT0Y0Hzqe5AtR~E!4m%o>8nEz_ z1iFDMiSz*67nc=>FM+Yh{t<>WT_}(r0%FruU}ixhsQ5V)_a zZj!Q!t8|Li+9QRJ_{xxE@UZ?I@EW4$=sb>iUM28DXJ~G+J>yz6&eRJ2zK2rB6?Ei=M3hLcm{bW5E##nWLtSCtB~eL63FJ4A{6VGJM$=seR5c&)M}>7o z#CUM=V3Ne0sh1CBZ|ST8Yjyg2ZC$1vj~+CeUa%E%VEY^QRj11g$>3l3@YN^a5QJXv z2^^^iT;RXX{5Gb+P9na(%(Hl&wIA1eV**vo85j}$FzO3*I9h3j@`Y*q(xNW;ut>Xn zk(2gWeh@Q&(ekf!(b^5-@iTac--TXlfvgMb49_?>-!%cvrCY*C6eE8urGatIlSwNYYMzaxs>NZb&fUs9;2qb90MtHIw#`+(fF z%6C_3BknxbfGyRUpl+1v6M=E*gnh+PK6qoAE-{(Kk$T{@(3-=6g;`>$qzfJYz&f-W zBxVr=)rcz}8rN%3svICci)&bqnniVn4kJ2+ZzbH%VE-aWV1SSv=W8d|+gd;p9R4x4_%6T3u#XrQZ0v1c_#e{deom-?sxL}^;62dZQli5W}JViVd{2HEKj z)>aEc2d^`-@kv!^jXDdlxfa}R!6u-mZqaBlewVw}ir@g=4~ApaH^>+WI#B{K=)Hn^ z;YQ_Yv?@b6aOj_>rOJLa3%GF@_ip1dd-H)cRECiXZw*b<_U+yp+*f|+>q4=mgF{Aj z$0kXySNIOmx*LUL)r}F+T)o9HZ}Cc4%&-~SN2N%5wb}5v300wddFR1x4yjX$Fqo!s zLs21wv-D5I?!}vQJdJ_@ANY8VcC}q=Ref?@ARo3OB}zoHJ9H0a`@N8E1&vLDqk120 z6it3mp$`wjrCLuvXgdg#N}!Jf4u>|+6@iOd6XjXfuASc+#8tOBWa$xFXSoYM$IT)* zdkjCO(HGOSJ=>j~VD#>1s0c=uf0_XHdM(ehZyTmpY|h{an4jT=BvamumtVIUGr$vq zS{~`Gjyac1*CixSp~U`ls>fpK7gF&@CqY;o(ZGg~-{28r!;JSCqgZ6%=?#(5n$`Qm zY2hc9gg?e*s^<1@B3S@4W6UhTnFB%I*V1bJa8%!6PHtBGPFi8w0zQ5yI8K(mP`I`lp zly=U5Hum+~MnN<7IU^cHhNS6nhe4LN-l|2E_HjRto5nX>o1gryyL<_XUIw@f!W$oa zBKTEYqzhZ$X8Uiqyw01k+OqEYJY^eWO6gkale$728ENd^S|udZs(mgq^s^g3I?h>$ z;#rarelsyeBqr+$h>1j4rS7Ae9}+B_-W0}osaTJyuDpBeo?TL0*oq>H-u18+_+flv zX886>8OS&{tJ!k?gAl2*@K4ivr{+3?OzU~Xx803!eD-6K*2{WJOBRfqe={heCsG-0 z%n3p5uyVku9%NtbqiXo%{p)~e-GeT% z|0hypBY7VyQ9kuwkDy*BHC^v%1TNOnLEA+k6q*q?_GlUEHN>u)*ICQ+k#UvyT z=upFTc?{5@AsccnThm!pjXX*c){xrJ%HrRw8Eq)4TE3QN$Z`IL>iBUN%rIM(s{lx> z&-OYExOC(yktH-AHO-^rm1-5GdQ33wa};|zxL$mJ4%29*~iU09e!HEX-0jcZ4sPI5Q(U~aUixw zD899d)1tWPT^)cfuwq0nU&5~PVTbwvw;gPz^dP*fCEX88nfn+B_>&0qU0tD0+{9y) zAh=byxMFz5&*%cOyf@uZyUO{Xczmi~0SirYk{?zV!CL5Ln5$R?s_&IEYtNq&04=8% znz8SCTo9aBu1T#dr%oy2P^bVM^LvHaFU@YeNl3CaM=Xit6oF5?A_>0s3ra>8FY27< zpD!RtWVaGr?q0klKJ`H zF%}D5N-iCENNx|W9)@GE%#7&Xb`}EQTF25gNz*ABp;cbH@3k-$w+^rmtHan~=+F9u9nocp?{WI|_lSE0ojibr9@Ewzb-}oI0d~Lov|2DI z4TWy)3EF)BI666n>?g`s3Xs^k9oxy@PLmmhv=lcZcKxP$rx_8H z7`ve=CCD;6t_$SWW3kztzz{E=G0)*B+bHQo|C9b}pq}%o*R1D5^McnOhik>PCp}i) z60KgY&kpC4e3Yp&lZbB=Zmqt{dIM{j*sYjT5D8(Z%TAeLLXI!%gyy?_U`#4^8Z&9FmY;7S?tXXlt ztJ|!0T31S9mHYy**buz(m2j-NoyQoh!<2aSfc8`HBC5!t3*^60uy>paBAsd&Y)f3+ zxw^0eI{J5bA?|LO%7xu_@CN5(PsQKKT*WPZ?wKq4-yYwNzzt%Copi9 z6Olu-Fg?b5g;7catB(W=)*IB@3G>~ZXT2*g%nP!_h1OnA7&g3A;g1ST zbfQ**A*w(9s+InP0iT5t0le&ZK@OA|Khd24mS4xIcr89}f@bf68Q}&htA|eYVY_NdD}UaC zOh-T`Z-*2G!!9&DaH9){l0GYRp~dNXANrqduyLY(b{}AuIQmq-D#_EQ^ME;NSP#C> z^)#a$f>-%pQ|q_ktaPm-*>N#Mm!w*0+kan1u77*Qwl*$6zlG2r`1L?%UgwpF`Y9bK z`@*AG6I6CX+bJJ?_1~gu-Zu-NTTvh;7?2`0N<%{{^!mIm-M;MW@VpJa{JXfIb$WO< z{f&pURyB@@I+_f-7s4GJKOWY~Y!E&7gQ$5svoph&`u1Osy{nHVYf9~!d&)=)m}_ev zeChoBtU+NgWyW|Gf0?M^Z&~yzu{;BYs{9{J-gcDe(WO@qbVlmesGQdZ15Gf}3|8 zz7fFwM}TMiQUuGuJ~h8~2-iw{iOaA$Slb|`F8^pJ{~N(S3ijP`B3HAER{5*F8{D@Q9NqO8>4F zP93)0ml6?9tsSw19Pl^?1OU27eEmmv{Ifw=UhYY}msy3upLJTcKDNXD=M4MA?W6&p zCNud*L}M9>9EJSV#ZlJ43_so%Dn&@K+?#ue?2V2(Ui`l{@NS(=qYJa#FV_T zhJL%2?Y0j6Y$&t)c>hL#_#dL|3;+8#vL7#Dlg2tE;PL(;P2yW`pTpbBB?v&! zt{p_Q)B79#f9bd{#xE=S7g%`4LLcDee0 zc@(}>{a188xf}`)k~I348b{KrwWe?z-Z%1Voj!bJqJR72^3CTz!F2r>I1!_hpRF$u zgKP?YnL7l5e108qsE`OUME;AZx#{u%kTbtie0xMiM&}y->ZccL9 z$z+h$qQgs+x4Jo%PVUcF(>QHb=AMNA3f}XShfxgpAuf^eLiaT@38=Q@-4GHMJyI8m zC7#5?2hn6Y2e@;3EDgcy75ku^pgRRZ?7^}2h6&X6^N#L;tLnC-kLlcu5$`LR5%2B`Dscb$ zkHZ$AQM|{2sdTv-X?jx{q;9UcCxh2Rho|#z21}fFTTv#r0CBe&)UY_Tq8f=648hp- z$`el}y}EG@{Wt52Z5pcTKR&t*F}{Qa*Gm=_yS){^jFh;wU7cLB`$3eHol0h+_If-A zt>1|c*jnupVmCkhEAvMSQuqLU09m z&8z84(N=t&L)985`Eve9I$4?9$NI1heDDJwuAx0f=8=*fSC+wT|2+(hj9B(n79UxS zi#-DSPgm5G_9`P_<&41sq$9U_PwecyYFO+3}|6In|QO3+W|?%Qr^;X}xe9q}y; zClvE4F=AzQcQw3F3_QwQ<;waTcUV~1FY%<}XPvH}*b{U{9d5AA`0#MTp_ax&d#`<) zqjr~H?hT~uhg7SJ?@Y~0B}lg8*$De*(J~rUUk)eA_&@mqFS2B3x7DJ7xm8LV;fu#v z(6>@-!Fxxpb}aJf^q}!8CqE834y}$iSNg*Rngy&_Cq#)qhtTkFa#x}pgBe}8?UK_F zs7+zu9xa8-X`PlI4*=x&+~YvW{k4C}#h$R{wrk3M^G)teg&?Ty;6A4v!8L6Kc^K{l zY*byD`4NDYh)t;b?&xj{?$pbOr?9G>(Gg+%E@wE6kE{TN0fg{1E*t^DHGjUi8Bl44 zc(VlgPbT)~#15T*ZH!OoeDhfr8wQW)>1pQi69jZ0#&9i(5tDl6qkFH)56(|M<)%*= zs5h;+pPwc&I%po3yjI6MQN6wcxZxn}pKuo*^?wcD+GQLHZq|lQQ<$ z@v-{&?7UJXTkXcttNYg)d=A!CRUWSbeq5vR#mn60jmYY#RFnb?vBmVn8A@?1kRPXI zSG$o);d!irkNbGe42SXPg@_)O_kFJrV9FA9J^T7yLn~MHE~p7YcqBZ6bOGT<$1pfV zpwPLQ7_X3zrY_u5!PPiy#5FbkdPx6q3i;+a*P>xn#kt0MA^lrX%^4QL%kP_pY64zO z>@xiuPfiZZ3M7gp$C{7IWP5BB9eXxQM=R2YR_1s(M4b*>YuC0q z+wwvN4xD=VRq~04I89-28ulFTgxfc7esAHq+suc|(Zj@t!_2`kG6zr0(tzlh)xN%;iyWCSK7cln*BIwKih#A(Mci_boUjjp%j>|x7RVGdIW43h8Fsv*4;_qt^;$-mo;bs<0o zoy{}&9{%{@#k{HW{e{y@6{ow*ki6oxaL z=6{-~Z?IERr@*VujUS3cScf~Aak|Y9Ui1~_uM0tyb)Z2F?9!XEX{d7OPZ-kody{cw zAlZ1^_U?R{>mzDWntVMWJNtNRYrk1qbjUUt>Fs9H+erp9q~E1vJk?a8zVF3@|1oLKm^J)3C+Ac9 z2O0+lhv?ZQT%F>tE=iSR>yv}~O+2q!dYp%cIGLC4Y-Yc5sp~l*rc7U2G}omphSs@0 zfCUj$Ro@bwKFM=ub(J?~SqTAwmqHF4Upzc`ri4CTXR31i-aSUg#^QV{{t{;J*!qb4 z3@!))7SoF33w`@XKN|Sz3ShXZl9MMUeAr@U>;kIP{qfv)P_8-oE>5VYi!n!z6XagN z9m;BxkUOXb^z0+mZ*P_9v4;CSgKv~++xh1^!N=7c1eQ*>ah$;5q0om1;QiwAJ=W{8 zBURCx)U%-QKOCWh#DWp=?Re+3)aMHv@W4QtpW636g;1N{9MTX3>DlBTB|v)R5-1^{ z>b}(fWja`-Z@m6-%jP@kw(P$7LGi*a#NiyTtEV^FcG(%VdR|;zeRcEz2M6cSw%-17 z(IyE8Q6Ynj64BAqO-yjg2f+5bbFZb$^0tEF0gH!*(x?O{wwfg$RLrq;Bu0s!$#Z)E zQxkaQd^4WhEe_LQAsZSzEG04o_RAeD_eHKQ)(E*jJM@P6D(rHVu-;8#StvR=%!T@G zUot&DuGZ!Kffj}MVr4~#fq@~}l@lK?Vq?QlQBm=qO`xE}YckhMakmzs?53-?#ricf zKYPosl$2?@O_@fU`s@GMoGi`Bv1Xh3^?BB<&eQkEDSbC0rVo~&ou3OpeW52t)j^-v zHBmaaP+0KPF_+PYR-MX%kY1n=9VuzeOhZkSf%dIxav<&}E*9crq2jiw9`M8OVcmdd z#Ml2*`n5&1aqqN;yL>sys-~i{t$#d;r&Q{9Q{YU$J-@9z1z~R>mJS5P4wT1z4Ua)&Eqx^+q%+Us+yy{{5B*H3bph$pA_Zl2_D|Ub8_sO zv#w2rb`~WK&de(hSFH&5F4A*)1p_r-?$3>9p}eFn*V|H=e1TD9*z#gx3Ur`d?MJD% zO}B{xJU^pc^-Wy!ldgW!s2(lXL1{a%q`sbLXwEA7+5QL*j}~KUOZ7{i{rVxwe8}tj zcu=P%$NkiUtCo7Lb+?x!K!oDkYLEIwrh{PR#wm7ep6fFwEH1FJvlK^ z2dn3Y_+xCK1Uq@KsS&p8{m-kshc&FYt{I+R=c!liY4JC%H7ptrPtBOU8^tr(@0xts z>f%34Ol4KGS(tm6ae08RnjGFDG1gYuspxV`9A)2We?C?2)U{IEj$8v$)OG;XM=aQ_ zN0R#4hp`&_D+pM@`>k89U^vC>`M$qP@B?xFpChW~_AZx>J09BDRU@ z*Vd5MTJDWX;W6X}5Q*uDcP6U7eYIU2S$V{8$hkYQysA9BsbKfq_3)t;MWMhF+eC@m zskQ^!2Zsi9ec2LNjIh0mJx(@dzs1nV72(@YS2ER(x#oZHjU{c}g0t3pa{FPGx)ZzD z#x<&G6{9^T-#QA-5Nngk*2)Z>7t=x&d0Q6?(u=&;e&PfmL5p0jsHt0aw_{*;f6&@M zVXWfN&b|L2WN}>_1{n!weWwYoy>LJ^XuS+!eU!f<`@1l2#AQhs^=qolAn=j#Z!DHv zJ=E!Ull?DJkJCeYStk1j{1fvbQi$2f@p{u2I8HHJo4)WqT))u}UlA&LpV`+JlMlYw z#mp`|DU9su36*qLS^R)O1+xdQdY@sj6V{TI+H0?=B#jah$1-_e5g^GS{3Ut1EJ2Qo z7M~lzdfCcmY~+)AGx4ulczZ zJYB6XsH$n(#J>FA`~7;)G+uyL^<+~^FblF_@JaIZ$48_6K4x>t8|bm2gsm*IsUF^j z`y9u^5$Vc0p}p6sqQ}lDAPfNe=o5JU62JpYiU_TUA3n3TTlJ)ue!U#wBU(Xn6Jxx$ zZ&T_fuKc+)GjHDqSu%83)EQ#pA2}6xuB$2`^~xrE!gqfKcuMAFJtDfkG0_;vewkko zT>a0*MUF16Um{?GHX*{jb0;Ymty@)S&$oa1va2%7pC4+7o?Z5t&-6&xZ(hKJFWkp~ zh00?k(S6+oc%cwdp1mK3jXEnbH;2lmq#lprZ~A9N;T$_VZ_|n6UFh|jT?>Z=M8hz- z*134_`%hO)H`<4PkQ(w!rqiw3A)&~1Pdea>F3&#?j`2u*MbKY(qq1V|Qqh*K6`!1C z$I;gL1((e95)|mt20tW;=tw@k{OJKoHNd~&B9|cK-lGr3W65l*uRHh^LAMsEqWGy< zhhzxWxl48G@9=@JbTk$CY-g0wY6b$O_q&UupZkMj(gA?JJKC)R_5+)g43eU$rZ ztnRh`%J9?;zDHh8^|0|`8_$uKKZKNMq`+4E;DLVqpWh3^x7GFIw#~eW?{{ur58RdI zM`>YXO%~m8MssI+y@k0CH!k&bd7C#;p)A?i<*Y<*E5HvSAHRjitnU38NgEiOb)yi7 z#lE&d)Xbq%@+^gyx)+2lR_%^>ke$@Y>2Fle{<0wS=a<62+-H`(dUWi$R3=1Y{bP8H zg}jkh4Bj;Qg=_UpC*|g#U1N)_a;PW~banJ0e+7%9rUV#c*;PjBz=WSHHROIZcRbm1 zW5^a&IxRzIXBr`y+IKa zUH2oOjG~?i5G*5~a9>BUqF>+iSgYe~KVixAX0xB5(ZcMDzZbE%={EM3fjehs8VjlvGt4 z%Iw#AN}i|n-j&AQbBEi-w91n4r~>9G9CBb6wOy(;E2JR6SJbba*m6OnVb;E~B+4=<;}(mT^s zDEzQ9i;LH0cgr-nVgyWeJ5p}PTD1zNtL6Lu`t?gFl@cv?YH`t`g}?r$=Zht`-DN?+ zh(Iy5FhMcG^4>e|I7f`*uHZ<|)2< z&Z&A1pGLQPHB}GNP}x+J&sr}R{yDyhi8nDZ(cC(?Y04SzQd6g2vQ~$>x#1i?etgBD z{JyfXWg~0k$mZ_&OJyvEKd-PR&j?w_@&iA{sXMR;RON76b2Oj*dixExnPcnGG!BQG z6`R+lnxm5fOyy{N3eTn3ny-83SUhB!soF-*_m;;jofAb}Q2mU5tAvWkAL7awpji1> zp|GVTvz?ut)~)Fi$B%Cn*Fr9m<{^@?D*jADOh=tW{d*H2kq|BrASUt)!= z?0$Eu5PC_noModS{+Zw}owBxsyx3@j z7@XL*MH@czp)zy`1@ZCOrKPFQO`J;6jLep2!E4&V4E=IoZwpNOZTd_Dz1hhKvQ7I1 zKBcAU@y0jw&JFfAjjE8~g$jz3-YR*`5_sR`7E#4zbyS0TwkwZK=^vXGOD`^t7F{Z0 zNzwDJ(a~>?N_^GL%$)j`T!K6dY?tPj-PNDn-4rA~dLm{QPQRiNGT z$V$zh2%=T={Z9m8;DNl>5$|P@0*54IJwsMF?EFH$9t`E!a(OD;0C5hQPai+>SnoY) zdVNNuqTwTczx!6f*1t+)Y7^t6`PF)yhG@~qE2$lSVgSRGO{tN&x!~gkuz+}nxr^60 zSeY$jDQvuc-vJ#@nE#xq`CUe$7ke4X(CUra6f`9S=^NJvF6YQd)W{PET9g zHB!@|@w+e<8(!6T(^GW$ieN;8A4J012EMkdQrt9Gtb^g{;BfV4=$P4_W|^~*`??-G zxpavefQZn~zW~7fYrr1>@C$8LNLxB+wsloG?E&d6zlIMfMdF5Cyt zb*>cWwDKc9etcH78^?8Al3X$PZRkv~G7L%OR`-to8$}7T3*nbS?S) z`}TnWldY?eNn}~wF%%HsdB~QDv>qAWDzi3SU|t}?gZ$n}kh5|?p-2YUfw8ir?@y*? zqt5b)1b-Rh4FND_KOLvX>i+c|oW52`FAk&t9_c^Xp4+BR^>gaunAi))u*`HC#pJH( zauGD*P9=?Qh$|?x&i}46gxR);Y4nMsg*+hw4ry1F!SI8b&2+=)@Q>5Z@Svs z+xyIg`xdsA7+kvd$f!OlrPe)(H_j>-;9P5%>H1$m!cJT@2!ceolBSvESy)Y2h>EhZ zcjr@n$N2bo`fuO95hvWh*2=@xD3JgWMr&4t17Zs8?>Q;Oj_LDi}qqC_Gm}P(6gAHXN@$vW?Kuv3t7#AJgIQBIl z-{k|%r^@#X!&D3ih7Qb`5Ah2-S&-lUdm;igp{yJ}W&P#|hdj1>YHXaN8mJ!kCLtl~ z#Ct5}2}EYGVYvLxe2W6B<;FT;m@M%F6&0(4?dgcHFm%VW3}yD|1Q)T+&Q6|lDihct zpK>zXfI-Q>;3fF^JmYD12otY4`9+b2QbTsJ2Ip(eM^Aem5{6v;<;yhg?;CZS)jgRR zaSf=+dkRd|o4NA%czNNg7=XKp)fL>2LTqtD`2+#ptoqEqFUfAZVW7tXIDJa{@+ICQ zaM}?4F(V^r+uj10ru0Xp%03(cvN!MfF@C&>gfzIP&C-CJvT~QN%6Zic<NZ{f!vOQ(XRAHQ(%;^^;gt@=sJxZhuGWMqz0YuYhoRUU|ddGjb-_@(m?REk}! z{e%B$iScJtE9s#k&Qd?Q zJr$KyJ~W1tIgwzfQxjFEKznQBrAY+EdskV2Y{obZ@mHgty?;M7g;=&<*yqo@eSLjf zRiw^eCK@9`;I)fFG@>>O?UmjdFBbFnw(7<8HlPmFCNwZ<{)gmMfA24sguLs zfa87m@IlDIyrZx0CLq5r?Yp#;Cz!+M?lU(S!q#G1y}#i;x_?X3_xi5XBC5yVG%!JI zXyW?Es?w*FsDd$Fx?KI}BY<2hbcq=II1j8XDX2gIc;~Mq=A!b;Lz<|Qk(BOVC$3){ z@vWC?i@%1N;8Me<+P_VSJT_X6wLX$Sul^G@v|U2l-M8U_jYX#fDqUK+wRn;aiYRZS z_+Eb%~M$!P!QW3B_=ZvKc>h@dzk2z+HZ0Q27sV`S#NWY4f6Nx)%4 zWKZ;~IXHs6j8u#ukt{hiqEH*CaU@H@@{R{{p<@+Z5%4<91|q9E-$Ru=zsiZSoB}WZ z{3iCowwIHb2rVr@1-=u;cf@1{v!!4I-@*LFDu?DVWR)nFlaFF_{uu3Fwy($Z?1>r6XC zLxW-GEuF5@LCnqNj=k3XK zt;%?Er#F`_DzLgYG#VMRpu;+VCY6ukb~{0D=L-4Jy=uhgrsw!6r>xXeAL!L{>r~?p znAtkwB}igUSCxvW*#*W4yk5B2i)>2R9bd%DX+%xW_9~@B{i$&$#<%yKGmFMfra;FT z)`C({Vs5**SVtM%hh%e%lSEZuD3=ogxhMJ_R6hir(L46x5@Q!PoQr7?Fd zSj&iua&up|wH1VKjaTe0@m&~QDL<^;#qWQ2OjhT1;{T-8|Sy zaYOkp2CR0}$3(I|z%u8FuahBh;4keC=N_hHY-XlE_w%E{@6eyCxNfM!-O9rz)<}(a zyb|~70Iaq-)>i1EzYOppsMDP4$N$ETu-b{u-Doi88{(0F>vY zLpD$0dtcu-sC9LfnTf%iv_ajFS5Q!AJuoU%bgATQmD=O4_8xpoYpL%xN<<*^NXJ?= zUH)q~!uipB24id6x+3})PLD-a?!7N&&ytpzS*=feCkbX^fmHLtRlg>i8XFq8ADg6g zeuJ-1o!PzbV6*wXJc-uTo%NXNkKYq}vcH!Gp`y~nd8^$>&M`at2PLD0g~2ds&CAeh zC*Gp~+<(l<5}eez7#0Ra8Z#Okq9&190y`l@AL5e=wMrlr(^B#8bV> zT78TfPWucALbuc#J$+gY6@bVMWo6}o)|m**#lA%-#r3(f2pA}dMn~w z2$jNYkOt-7wHF&SA~&?O7-$8}u0WNf3Ms(SX5BB`x8Yg5^NtbJ0Et%X8ymlx`Pyhi z>dBUCGzr|knlZWPIBQJFKOgd8@V-L;eD09@vA3&jY+7fwzbmhZ zmt{mz5goG~d;&d7#Kc1=v!p`D?<)HS*52_$T|#49Un5R)`t*j^tjPlY7vX-tKTHtP zo6RvhhYFt0tWnl5`NQFbg-ri;7#E0C#>l>d%_65otn}U;11UBgEgFtH*{Z;%jNXyL z(@7xxAC%%7JJge-2ftM_>f5iuT=V-29#9l*jxw-(+2ojW*RdGTC0BQU*ap1uKkcz6 zXL#ET$qBtyGBrCG$lSZ^s-cV8al$mynm@c}jp>{DO=yx@>s5|iF;;m)l2>L*2@^K=s;0ZjmxeXiW1Y&}|eY+`DMQa3g92KgT)V4Lr&RS*6Zi4`pwPN z{G$a3GIy*AjcEdew7xKl!{~BX><>ah+Ee9vCs4<3z1EiNW{3fQPI^^8uG8{{ziewP z01AX3KYoZ=mJ8V|r~)f=@zNz-$OJDVBV%4FPek3IxA*j;U^^?|?BE~*b&q!t7ere$ zHZV0K2s8EO&6_A7+Yk_LxI1F;WBisU6J*&N3BElbOVir^rV_fBrn(UB=9I2`Z9;elxzuMBPwl(%X&TEb=m@h*V%N zTm&qqdzzAvTnTWqhRgnMIw6aZ!1yV8KpfhTST%qXyb(zl5LNZ37?G+Qf@+D0x_AHb z{#HW3YYV_}G+`;?*yyd$XKA`E2A1 zPG;qS!`%FQkpBf<4tABy+DXeW`Wngto6@-6Tmxf%_o%sA^3hI}BO^_?BG-KX{{3w0 z*&pa29&YY0iBdjMBF{g4!{>P*Cr21^Z9`SQ-flXe8Tw+=g0#xMrB^c6WK7BICF#Y|lNT7quXjmzPt)QHFRB96z6GI!p%f!Os zq3ATHWYU*+@%SvZRRd%Bi@fS%60S6H60?ME^`cF#QAbJ?-Ov@lAm-*=DjLtc3WUj( z9^Ajb0_3D_VSkQVh5vd;7a-6-T z#mvGo9_TCp&&uUAduyRDKL9YP2f1W@2?+tt?49hqFWL4o5m34N;^T(KD^xwQjXrk+ z4t8vz&p7LSWu3!`8j3NH z8(g<8rT3|+$}{R{J{9@+=FOW3G{1fOHiuS4tk&U9_v0r|z%W)4pDY2y23QO`*YuTI ztJ(V$?S;#i`LC$=P^aYPP`Jhl3xl%7Y|@jC?~hvO-^^l|on`6Z-jZ!)z_!Od6vQOp zQ&)!%_lJ2HUR*IWGn*>k91<-#m02_THaXc7@H;B9>4{kpMoC@$mbCP-{QUf@Yt4L+ z;(2WrdXi3flb&(N$j%Oh$OduadG_Zh$Wgw<_c0B=fc6k=subsECbjb%>IL%B)n@== zU%7H6`^Baiqr)?&J)c1-YHvRM=8>4;y_7`7Z>ewKV1Sqc8WK3!_P#!UXetyJZyU;u zTNYnnXAkKA`uv~FSyaZ&X_ZnUb?TI-lNjpPbBkEuT0STN`svxf?cyR1DukquALY77 zYbI9hK4fJXz&F;{*F&SDfO@R2|6_3QHbA}HgnbSO(<~s3_<3TmX2P-<)(OkM zO5fJr$x9zHZ77G=zRQ@@>OgTO^A5qmC#5ExpyTuLB_Oc_w?2d6n#BRghqHZktSH#RAY#r|N?F1tS{_llaIVV*@$S zC=MzjxVm>+L^F^HMYAa}kg{lP{7~&qYA*1^E3dK~rB76{CT0dbg8D?T_!z$kEfdv{ z%NQZF+fk>x{x;agE^BU{TP+H?sSj6kT(U~gL%4z(u@wGU}yeWG<)yXpYjTz@<$yljReCPlYmd3Ej`e?fUD_4ve(sbT_Qlr8`+@9FPHf>W{3|9u{5}rTg0w@8SC>X{2 z#Qz(97zXHHOwI?{(A=rb-Nx3|;3kdA-NEHCUd7MF`y2heh33N#BMIthq2z#e*U!$* zuZ+<&Ek_!WJp3O|J$r=8OlhH=jhYyC5>(|lDhR^tjLpqMj)>hI*If+6mS%dhvotg# zo0W&<$UQrU5rhEUo6y`YAk}R=?`9Mfyf%op_rA_ZmdgW8CDlB`u!8WLxPQ?KU9NSM z1_zx+{z()_YFcT{xQ}|#$)DHPtp^q3-sb1Of@E4}-3(!f;b7&&Qqg#DR4_Yp-P|$| zCBW>-z61Iq+!FxO!*U1y#5)b4tJ7@><_$&Uv^TEanCb1nyMFM_@&90|*R79Gx9lap zIT5kw!Dsd7cpe%#y}Qo%1uFl%S1)D5X)d7)%t5vW&-3hP7cGlryM0VkK4fID(vi># zK*irV+C*q#$nT!ta8toP7%6KvJvx!Tw(#WSQH2(EKQcZ(7EBjFwC! zOB37Den5T;I4hD$OB&a*?W5Xf{J#nAzpbxYj@6Rot+j;1bmmbZK&EM(PiN?MHA*5z2Z-4+Vjd##`$3rt~Wkpzj)EFU!z;Y>h{3YO=~dpp79llY0>2} zDP!Zb(Y1!?)y!2%d<6R_PriW;lO2OI4Ktd&UmP{GLPt;_ljasinP_R~NtJ6LT5hsD~uo@|(9uZ8n^6%fjhg5S$ z3`wQWK#tiKL41{-6e@4;whl-+t#P8KpmER|coRQt0t!}{3BX(|e0&|>g&{mVdGf@& zHB8=lEoKI>N>kcBvZbklmR;rNQ;O1ueitQHj zvto+8M?Q8HVs=2&Rc79+gM;m3+8?k*Q)lg#gpn-WtAqfuxIBZ!`4VsUrzZ5K73Pt?sXa2F(*wGpgMf&gw13@hT!h zN?O`WXPk`|3Q`A$l3pGxrnRIr$>(C_hT8gkTBdu-dG4);571|DC<%FWfg)#QVW|nt zfp!1_i38)(%QVdgrtXD>3iZwR|63#zca);CRWGQP^&C~{;f#@38CS& z;SHFsxyP(qkw~u7ojKFp*D8w<1~);ov$KywXENA6TD!2{elfp0@9ZcHn;d%NOn*^MPfH8)_ms3w*CPG0m6mlLZf%ELEy0H~qV1Z9Zp9MBSNE?cQ4dim;=PJXb-vQ6n=Yi^rZnv;}bVsbKO zO7TWq^T^0s|5$u7LTN*-eiD!mnS4&2nKGzlMw4V}5FW{iI=<0DtuE{bjVAgR3pr@5 z7wQ?xfFxkthFbR}M}Cn;W|67s71O>vC|j8so_`{jxRLCOA%&8F55OD%&m5STTCmwY z!=;$7mJw?^WDhv;R+E#s3>cZ)^)D;-?p1FOTx3xdEn++B?-UJ<_$5uY3eDa_J>YsZ zt_q<@7?R$-a|dkwYzUf{t9VL)4SN=C=p9!iU>YX*vbti`q~){Kuhg_+AuamjpVBgU z9qG~A7ZMa<>n|Z&ucEHrbg;i$42jj%P{QKV8in^a@9JvFv$V9r79+0l?&3k=;p8WY zg07i#Kh3uUdpIlNLo9{g$KanSgXsR6f3z5I*r{aTeo@v4T=S-tKjP8-G6Blrogn$% z(_^G$=?V&uxfpn1ftd*P6lil;v#4iU_5kZEhq<)bA`e0^x|D#xr^F!wz` z1X~F&NFe>JouTlNYLbSkl>nOGFv> zhvp2UfSq#Q8)sN+RCMM&pOzKLrKMnMy4c|1*N_b?q?{>GVBs2Y9;G&my1;iB$ zAvzLp_7(o8@bF>pL-9$LI-?`q#&wa?0}uWYZeqw#{}yi6 z+*eckwlr7@DzUmno3)69J0(OK-Tqf1kN*O<~;_ zHs#|jX?IzF$mQT(Gla32D>O98dXG+^T6-0M<3fNy)pgh4-}5*iv+wNj5BRGFH24H@ z16rS8=*_`E91G`Qi`EoW3!!Hs`{_rQ45)y|?$j_ryBf9Kxs3>R|631A_@V8Di{s$J zX(Tv?KUPp?PS-*Z?JGDOv>Ynz4*v2}E|gws5bKee4bhgob6QkGeP&bC*D(56?1m+m zvqRZrc<(4ybqHSn(6(@->kG#y0A(WkwBu+6UkZC~AbjP&S|Q>+QYvX^Z17rui$}sB z=|PuX)}qVtgE{36W`ur}wSHXvWwmIl7@LM}(`($Pm(bT6u1k@>q zsytNeDIgGWwqMAP)!mwZWwH8uY7!B>ge9*Gz2J5#0T|Q{XvEjI@t-E>ujSSgix-7; zZ(OB!*jNA>uASNR=fx!Te$B0{C+*BSvdWzDyKGU`w1MrDZxQa&v21fFAQNl1Tt3qc zAyQ+g7EW^j4@)yE;-`G(T zEeUNjrGvl}KkMoz%*t?0F!!bZL>&4WCvu2Hg(D-F6_yM;-WB+rUQ zzMUAc67-N}kA)zPooFs!Q?O>0eDUJQ19`ECg%JL`-2mFG|J9}Ckx?Ns(ZXH6YP*mx z&!&+>e4Z~P)qAC$E!z`@f+_|HqXL&Y^=ByBIR)*)`bF!0IE!qeYibI@~eTu*i zDotdKyu4t$kN+&~F6MNip3@1`cow~4S270@Vq`C1cl+`|yc#dR@$w?%3O~0M)Pk|+ zxkKXexOz>lgR>gt$1U^bjuf~u5Mz9aBaudnki((hCLyRA8nRjik!HQ=ko+H2L-0j7a-!GcmZP!9lC|376{CX@Q((YRQ??&bk5%5nV6A?7f$v(z+K1=|U zcx$?x({1TLnx#_x)x}to6LBRu;g%Lqsv-}zb+qSxE@=rMf<+-d9su&wFQcaYGlR7I z-}C?WA~1=;TGa*8;N}fQYj5+YZeDt40Fw>ysg*^fORSC-&9OJ}(PyXzqy2qr{h*}> ze}CrG^eF{I0rB5mNnxo2<&~e+hkK&f<4IXh0zI0jYJReYnhEm7As0-33xb@0V_g|a zVEi>e*kUmxNGmco6_K%T|92~r(fq)XV|It-b~rYH%fa_on;@3-!ExCp*IVX3?60Mi zGmE#8ox`xksWKN0f_A+3BNp>;Mu{3u03Z>f08hPI4;}ZaQvFj{=49cx2_Wgu-I!RH z#IYMk+nGMelSgF-x>c6&mjs2?Jkb|9+CLp+>ynYJqe%z&aA*ZvM>WAyCsqft?X3SH z)5E8JD&GzN!tC*Vk7jROQ|MQ!UY5%*bL}0qhTT~E-lL^W!e~vHDgb3>-E0qb5=ndz zSZoumwHyg7#EBEhs7m9?juABnvsgZ@+$A(Q6tFIHTF8GVx6;j?g!mtP+#of}rX!tP zo;&|0s^yUZ1)^O?>uU!>;PKPCM>?wpxx7WM$h6UrEQS{?qweesu5E|s-df#5mQ$+= zVxi_}cs`84(er(Pl=`p13r#J>e+xz#x;k;i_c{LtY<6mJ9LF49hYz2RmQ`i5=sw$# zSW5e&W7J3dKAa~Da-Ow}|DIM%|F`}k_8RRU7Z zSnr3SQoDnqu~(A0Di;fr^E!^EH~;0~@(U)exp04fQpS5hNW(6i~)@__u-W}uI7IB<(ZfJjc1|5clYPGk_o)22)KsJOpiUSmaK48Vc z?<^%vO*2VJbXX5$duExldNwFIV(9Uqc>(AM)j0JGT=V4JZpoRgGeqy8Fe7bC{RS)*#nZhMzUQ4i>TEk1^ zo}ipPFCX9= zD!=as-=$EGVYY2+w&OMlCh5oWA;rP(TPqBOu9f^dYD3eb%bK2*!-Uci@m*0K?*wAP}^Pz`_ zdmz<7J$Ue-?01(s2n_|4+sS31VWD1V_H}vluapeRKNKKxZqvRibR<5-Ost7pe_FPA zXPK1$(R2JmeTLtCKOUKFdN)s&hIi@eg$yr07gDNgkxb0t7l5NvN|7HWb=j(EfANZs zANpWvSrwp2QtByxVf*dT{O-Op^c^IutoTq+AVxNMLF0AQf*Zt2akNa~*nb3HRr(&O z@dzZSyA#Ik&(F^v^Z_e01P_8J8z~aD@Bx$aoarzzD~wrooEC+h;DOF3NHRj4+s0Rs z9)S?uc^YC~y*gs3`5g1KL)%*b>bPd~)Eycuw~i-$THX(-JRdE`OX$Z}o35Fe)1}HV z*S2MR|I!X)kwmeY?$h~l-__Wm;hQJU~*;oP!>kQ?-J3f0?=)l!YZYhuI8^*o#fW>;H2>s8^R zOt!a$>O%yJY5i!Ij(^B-6~9L4ra7+aPr(_FH$9A_TpB&-=i9)vBMGXxf>T1+nGRs1 zK^(4oNgmkN$*L0!6P+qrU-fgtqM~GNZ8s%``5rfr!BlZ$Tblti(%zh5A|E9=h1PUF z!&y17kO?}vS#*gIXkhDMe8Js80Yog|^t8YG>EL^OCOzC{rHcY*H<#+2wSB**mX^|H zb@$-8EcWFGp5^z4_N*bHb*yogX{ugC&Y@XrGab;!9$h)lSYC8x;4#{Ead0R<86npl z9o{iIPATK7onIqurCm2|G0Ncu+C{WswI`v6nxDl5xHUvB#q$cWG%wepzrxG| zsIuV2DPQ|QeFf7UK3)XbhZU(gIbrH%#a>W$-vy~;m$P)T%V`MvMHgj#m7w!dUqM~v z0aTFD-CbP==$oj(;CFwax%imZ@Amb<^mNVgHz2IH8s^pU6L(5On`{g4vORe-aNEQ% zGaa9?eRiVuqLTcQjP9E(qM;Wks<@N1>{ZJ=1(!t($mNGmMz-=HV_LGcA3uH4g(w>+c&CkruHz>kI*KvCy{G5Wvh>^ENhdzNi#>jw$=x?f zLPC=66X>#_JIzEy4nOtkh1OQUdEi$EoHhqNM11PU;k^`bfiyglI+ApA13wy<1a028 zSn~a&1%Roz%Q5(+2Y%<$<98f1jJr^w*PKKMZLS^TWFnjK3UMY1Q1r;RrDZ2aoy>Co z$RK4znLHiS_YNc&{UETFvT+&z?Xcb3=1diC<#P}Akwqp@8}7K}SRoNN51Ln!zJelV zUZIl^$T%Ecv6HmKi3&cZ?$tKgUK{Zs^AHo52?&b8eXq{& za^EHukU){g`8~ef$Xgm0^?iM%W@HVSDvRc+S+K!SneJ=Zr4wkD9P2xLLf6FQ&5-Fs ztL46s+q|fV#a1XkctBZdyG&wq3e@=z(#X%AJzE4ahS`M$;%~}|kP9B9DNA<_yUB9g z^JQe#zZXho0PK~^ZvU{PX8rgowng&|1b_j@wH66d6$b|g8XjHjowkc%P5m=p^Xu&V zg^ew#{93UQqW;c9buxYNcDSz1F=ou|A1^<__?|8NvdroJN-uG;tuCiovdHYzK*<^J z*o6ck8y?BP#7!plXX@k!DM7tefQa`w?Ca zpr)9a!%cfN0J9*a=lm#5e`oJF*zGxPS$aI<;3ulsB^WrM78>6*yjkKaYfaeg1VzDo z^*w`Z5HQ0On6a#KA{!eUpFwNv+XNMC@S+#>NXdL4nN9;4xSKA?F~VmliHS@XZmCxW zch5tE_%c%#pDLsP$E{Hx2^Y205a`x;+0d<&?&WcsA7iwVJYV1#(|At0awwBiEt2cR z7yA}|3^mo8fiP@&tFqm10ab_ddy@|tQF60)EV-Ju=vpiB$kX+0F9NCXF)`7twY4?- z=iJPUuYblZDPb-c+VUY4+hTmGoDfj!UO`qh%_r&k=IlRf1MUNK&o%dqfj`vw$Vbz5 zZBs*bS{emWd{$Dlj-Tu4`R|k{qKTFkJ}|9pt6ttcPHI(-i6Iy#T$H`CmRG~zawvD)h7Abjzwp}rrF>voa`T{uZeUP3L7?*>)W_O8d0Aajex9phm+>W-~hDHY+2gbP%ba%U&kLi6g746T?uLmWcoIqa2H&JnP(oP z{G{9d^J4A16pEO$7XfL@CQ}kVs~fcljf$dqy%^+8e1`njSq}hQ&^1m-lYRFsl6K^`rQua=8O4o< z+zyFoBt$k}yl}yH)}bB{sW8WLkRZL&)%29Tf;es1O?L7zc?k)e#>T{9hp$ib@6nC+ zhhcXPQpmS8(jKkNXJ-DpW(&*J{r$qBP96dx)U($x4s# z%IvMWoYQO?&f){B7h|vCaFqN6z5nyklI8FFEzV*IZ3|Rb-Bt?4>koSm$VL|nDdA8b zw+}v#1#&L-S=||?EWO-bX6GUccyi@5o6T^y-bcAHt(RpkL<+Kzu8-`!eQq)!Tc2_p zHPIaFCw=Jht=+nGB%?TcD`sW&B*D6SCkb_n+nIzKuUtl+#syAkEJhwg0DYlZH$e)G z3>PqEpl_!urzso2pKjCgB_miMMOO=r-NPnpoyOEAB5wrC?Ul4Sn3#C1-|~j?^V*49 zuoPfwPu|Lijg8Iz8Mb1Sc}1C}=a(sQoY2n+GhM0Sr=Hl&hmtF-=$^8&3^m=rhX~QRJ)OYtnY#*3UQ?4k-0FnVT^bj@kTZPeP4Y48B8AqUcY_9jO=zmq?X>i) zn){elzaO5%e|uwn7Spo`hJa@MPUNCVcuT?OKS{3t5LZR)`0V!71`JlEsAX&8$jK!> z40`?YWi4oiB`ue#khu!N-xcJ|E7{+O%M!TODk_#z^)B5KRE#dRHRZ<8S#P85+ z7zd^%=AJhQn~}d#oHR3SYLaX^c@y>dyyE%xj~Pbzh6A{Ynr3DBj=FSB9G>%CG)&dm z=&21T7SINh-(C^Z3UC;*Q$U$UBVa(SeJ#;R<*=BLbX_CNcYCL>+ zhQVnaZDeGGSJJZ(lba25Wgr#v7}QkdcvN!b@$SbylY$RX)J*&1w%bN8-kpNX&zm#p zV`gYywozx2Ut2;;DZ1JEak>He4LpR@Ylg9s(t)+J zBzDrN{%|+xxMNTPSQvcujuSfrWhwnOzDJQ$f->iYf9?wiq53H+`p?6xpTNixp z#n07nT)mHUlITW5c~mk>=DG(!sVBv1?)PM`K;0~m{;G7Lcp z%R;;ZH`~=e2QnVWcAHM+$;q{`b=4!UR5VASjyL!{*J)Qigp*KjR+#&=^U}4C6nZwC z{eHufCm3xDlv(hl`u!>Gkhz_>YyA^unDm2oY|DfK79iKnp`)Xd15c5bmWEl& zS9y7PblrGL7cX8^<)8w2Rcf(0GhQ;dy{;cje+grumFKcQueI3{nB8k~BQD{);9C(m z`N^ipT&GwZ#f;m#l6%JK`$3kUHD8ACOhu zMGd>0G#gBZYhy831|7R4B9DNfJYY8DV2%cm*d8!FP?g4{q@1_3vVuGdIsJ~B+NTx9*T>#&C+ef_ z1t>Mr#OYW{vQnhFP;U}Y&?{D z#i?n#)W*SD?}|=>f;~rGw%feLw1k%`PY7Igx1FZd!G)L3wC;!HoMgH-d~_`=R#Fxq zP%STHV&)s|IXNEJ<~LBGqU_WG51P=&(^4zq2jO+E*EjNv{v=ol^o*Bcymz4s$&z>Z ziOUvK`P_5ep$`p@fGa@PRK!B!-0{(bey~N*Lq_HnwVUJMO{pXBLI}S%`^qs?S8zgS ztpT-61e&nfaerRNB}UCIdg`GVZOIe7=U^1KSwGSSomP|PfW%qV3( zDg{1c&^8@1ABBRDgu1jJVgy7d$*~wiD0E;VpC1WnC@F8^-cA0rPXGSJ3sf|y2Wxoa(65ApR^aq;9vf_l94s z*y?<0tmR2ik<$R#iGm4(ahp<72U1XkG$1c}yOqr%i;a(0kTKn8d+R4ljC6l_wSf+S_llf^fxUQ~ zxFo0>q4LjpKCcYA&Pm^>gzuk=ydWv2|0^jHSU-nh=b?dONQ(6}9VCb5Ol6yIS9z}M zlE>PLB6Z+VbF9`C*27sc!(67h{OlU$IU`U{kbjG2-UX;uI+ste)qXJQfa$JrJ;d|4 z)@R=O63YUY1n(TFp8rj$oZ=Zx>Npmf+(PVX?2h|}h{D*_&Ub^W`P+AFfJxNbF4o`u88kc3xnNVxmbMHX94k8SQs z*&M)YUX;^S(Fa6}sD-FXJlCIN_jzRuJPVxzpZ4yqKd{tc3Vt>Y#SzK4nd=;{-2&YQ zmtLXQZ;lN+;hP;2#jZMi(be@p;#wlOnpfL2kvb;7d#T29?r|%jLlW8SH-qny$8N{~)^llTDYOfuwFu3h%#Yau z4w)^UTTBIcW(9cWb@k`Z`2jjJWkrOBUI&h=VV>@Tkz39qB`AzrS4((_y;F`6p|U5Z z`K-sV5v6F9YS%@1)6ex4pN_hV#q%QwVQ>Yr)nTKH>(DfSL9BYPVmvj;V%YgdP;D>LF25ENnUSzcpO}5^1-<1(UA_?9 z394ylZcf}$1MX_?Pg(b(Slm0QsbA8r^~CC$|J-1Fgstk`ej5y(xK?C*r*Nh{z)W#m zK`h2WKH!}3@$rNKAUv}{>^b9QL{k<5MCZ!blpzMi;tN_qj_y7j8lnoHaR+bN_4;1Y z)y}Bcr<04KafZvnRZME%L>tbUXh}bAoMMA$|BSZ*yh+&6sOugGlv(sv=8hzJVh}*m z`o--BRa)BGWRR@_N)O3KGE${7~4Rs67PJO9Z6j?Je@mFxC z2a71y8n<1iuK_g4T}A{oXe5i;DZe|K&@TnD$#Y!j1Xb0D4k5%8^svHNoGFJe+7)1^ z<>v>sO;^3WFM%s&m-fjlJ?G@h7%R+mhJ?Z$x9>s;97bF3-H1uYzZnM!XOTD?ng%aN zAe;yBJq{5q&_hci8iDAA&1#;*_iwL$1!nm@xB~+7Oh@_|DCg$gR&Pv z$JILw(BZ^Fr>hbOn1n7h*V;eXIW>6QcO%S)O!QReXr|BaS4n%YH3fWYiG*m!ho!3a zCmraho{-Xx<8a!B_BlHTBVR3&4f@zFg~P{yfujlv3Y0UuoXf=S{^VPMv>KZyZ+KrX zmc9v&;{Zb@KVqa1Si^y(d-G-!NH(E*ayTnWXk^(t==5+R%4VWF8|ON_HqSKO9KK(* zZ?~}_L5QGY<|`^BqJFaZH|p23uzE+q!NpU*=Kg$L8iE`!DTsSDtZ?Uk1NpP9uh=iY zt2sEF2jCkB(*2oKy9@%|C{c36B!{Vj=_dxHL4hQypj7L3NU1a+9E-LD2%W|Q*fV2L z-KHa2t=Xg~FwP+?X{;rkf_DawTNqI@oi8G}(ZynxriEk*N2~^c3_r)QGQ8_B?M(5` zVjGpaDMKdEGcCGF9BSW?WN%l{j#$WaP3!#O33%8~0I-oBu26MQG4+5Ex^ofw*KTYh zHyb-1>=ivV{2Elp>8A+ZQG>Jz057wE`t%nsuHLzZFB-m_bNNKYUmb*<`n6WAZN+H2B=ao3(5u)ymZLn8R+=f6&=+V|+Xx0V&g@U?w zXJ%%EZNJfh)ECP8ny2t5`c=~J$P68~IHNx0*d&|l$H^GTZ*Q0Pf52dK+_0vs`Hg#x zbbS`r;81V+e&&&7xn~W+vIEfovIL~e_h*0q#=&AC>yEX*v-3rWO?Ka(#`tu#r zUs+ip+lvEGlY0eV^V!2fA)>{EPdyH;Ya@xIj;^lz;PE`YU0QvA{vGM52&#s@(j_nZ zXxHsNsCz}u32q}LJ~pPUB!w1h;2K7Ab2IAR(5FZ!cN_uo<~{^1XZ>ytwikgoZDn%p z+ucTV-Mr8%{frm7aATfT@(61{>>}g^(~kFtxMZllJD*>;FXDAU_L*R#WtqoLfBxXc zCj3yQBoNc(d*s2hT~-h3I_};2q0@&uqm&eh)3=O`zu~b4B5idHOYfx)Ew`CMlK*lH z&3YXc896>SWFh4ic6ajsFw1!IfzdJVd8;vXSC0$QZdeniC-v-5{TAkJagKtXNj{06 z;uT0$^t7ZSzrU2kViH43tu4Nkbou>6PityCV3ou#p0c_s*3{V17_=Cjy3yp=|4J9? zMt8F=$Lg5i#-|qpDEl6^s$ls|StASj;?({lkXKvlU8Y$}lVU37-y2gk9|6JjXh>d{BYP>UdtFZTlt)6fq z1GBfR;oT;%9Y`hv%@qv~SHA!ICEk6O!hwzq`G9ixhI2ek??+r})305uh=9Y?vvk`M z$*U%I>%k+P7ZS?J&i?IKCbCcnPY>xIJ|Q8pulrn=#Q)#YgjRX)nT}7r%aw$V{I~_A znfu3`KB%7=tFlv^fmR}Vo;^gFnyfTn+ z(5=SaTlNMLD5(1aKGB1#_sRYT2NXl;bS-Y~BXxTz(S)dKlj;%yXNb{-$< zV@w6s>tu4Mx`aed4Mv60nK+JbisRz8Y;uYeqa-aKEjTCpzYCwxxBXlo0RwK}HTzUQ zXjvd)8qg6^E)2wBfKC_xZ{Wa1nawl)qXn3W4?g0gH47ARsoBp4bN3mX`AcUc&qjHH zkg|!o*shCoet+&;Dpk+sHBbAqEMmm1iee84O)dp)|I|C9Gl|wuTW`E`Ba-v0SnuC> z=q7M@Z?8*#Dr%9vcJPcs;(7}k1VzN8?Gj9uJ6}sFDZh(hwn~O_gcei_2l+|0OO5MPTR! zP{G!ZS)ANeDYE`yJX}7gq5ea8)H_&xM-&3+21}54gl8Oj3xGqAEAqMZK02hsYlghu zQslEBVCn3%+YJ|)gx2l|&>;N|1O-X_1RrV^^j-8{2tWZcP8pMs*!nqul>jRHrrlfq zcKlVxL`aNVxqCSr*b6y4NMV2QK8s!wi{LmQ6|4|cuKW5zRgQ|0Dwk2Yv1>bbw`7#@ z*&(pM92PO=(Ip=>ut;(S@1P(M;2k!R(xz(5-H4e6Yo=)?9!Y9OZvg`oIB?dvy>%WR zD@twI4~ORjWX>rV*hb(#)PR`RHjtDSYz;!x+QD)cji^E(U|a0a=asex)g6XkJadPf z&|HYU`2FJ%HUWRx2=f+(^%bN5VPv^wsyn7_-PY&3vrHM?Y5MHh*#YIgcEpLE{*mzFC;aSSiDnPIn9E9RNH_0blEDOF+1kuz0ISn8X1Vkn#>9ollg~%U=?jdEywq?{Jh?9QK-)TxfS=_gM+(Kqm4MbT{KlP@BKEs);=7HAF zwNK{u!<7u||54TOq+za=(N5+|x5z~(MC#YW?LQRQGy*4_7(MA-*{BOtuB?DplX0jL zs$*QgMOE5|a~O~k)Kd$XBD^tI8WMbK0;h@yVh|AwW6Ul6lyD#f;t$_FL$zfnq(=w~ zjK$-dIfo2%ymIR}vD$AI&Zc}2D||-oJ>-L}vB7I`llWoxD1 z^_HcWQfF`AjDJ3o9IY+~W{*SU-F!U{zS3*4#1H2UZOf>rUa$nwVPXIdlNPfDuI>*o z-2XT$$h2LXYoynIQ~e1J>5LL2@u7D_)Vtft%E|@{(G^{us4DEL~{}Yf3srBzZb)HSwb%7G_+jhM5`Ayl;zYt?uvbSwm#??N63a*7Dt{8 z7r%KE4hn*Vfy6d%=oP#UacaxbC6%kl?X&KIdr-MP-MTpy#oE)?ckUAdbUx@1s+F^z zd)C(b|Cu?Xk_$E6`{UDcNp1ObIG`H>SE4sTPTy3Knuz%vD93}c&$dNSeco;MN;^cF z{KCuwBGks_W(9aE$Ykvy*8qJnUp=7+$~igN*-K96p)d(5b!d7RD5d|OnJ=6`1*09) zk9Pk_d{J{{R^!H>tM4dVA*1+DXo~C}8XboeutEgGp8nMQvk@pfwc0v`epo_*A zq8OAFbT!Z|7Y-O|=E<{{qu0sBokJ%~u=7r^j85(`btn)874`de#3yFKQ=m10T?}ou zBpBNFaChIzdXn($Su42Y?=airnzQr0v0dbXdXOC*4E)}KKI3?ZX9hn!hxDD$0OEYX z5As&0C#$Dgegai%=Z`7ZaP0lF2twF7qY^I3eV>W5gi`Xj{Y?xI%wbZ z0~quDd*RRAa3?Tv2rLPK@qjDeEmV@6l=MC~_s87`sb5CR4I}nT8ZRYfyFlX*e%MSq zpIeB>Hpi9W-u#cO>AY6?Q4pjeA-FTx;zzjBupB4_g#%|*HWKdL3DgEe z1n=29D2r?MRFD%{(p_XDavdIXaiGwyDVkz0PyxD4gml>y4?zwMy3?6rwf)jSy%EN`1duQk)Q%$=E+mn^N+dWfa~Dt%$R7H-w|8@jrb zNU8vYvRUun^R+QwUBpVhtAvp5dqL>F<@ zNhg~h+%EUbfGCWDfI2?|?g8b?r6Z^V`G|_uLqukZ6w;EjlP>?A;);Dm6@}!D{@jU8_~V%* z?U2+ywsi${Qbh?==cz1-%$?ZANPT)S@~e4l@)JKvkr?s>>DU>icoYhxOwhzc2n9zP z=qMl)EXzhom#vxF0H_dH>YthsQa}G+vS=*3*Mu<6q?pR16Ovpf>)9gc z{r!iN&cbmdj2Mc>WRf-5Lw2c%JS4iQ3}_gr{@q_aJ#j%)C-+;KN%77STK#r#%aL9z z_eRST!3a$CN&ET?n4sU-`~TPP|&lj^D(_`nTMxf zrqXv!PW3;@hWO7qqkvEOJ0*8T2b4Wf%2*Td63Qw8?4fqXCitWh>H*wZf`*miIAJVN zB|>&ZxQrJJry>pk<;Q~tXgAvN3PLW|+8JE70RKw_-hu@T0-#uP3fR^A{z5JlZHL`S zv*K3qDE=GV{CNvZ)ayrOKdy~XIiak_pJ==m`vEDO%>Qtqyqa|>tn7^s@0%1& zVfd~puaz*iQYKGUjZFQjNO)oMH|@i5!xH)trMWf`SQO?VzSrAc5f0S_kO$&>;?xmV z`1}ThrfF|dN?h9koTs11+>0^Nt%J$N)6nJ|4G2a)jaee(rHtRuH2Nxm~<`u+1 z!XO1&S|NF{L=12y95>h}fk^o;<$2friU=Edmfw^Lss}odZY3qH?RMWLa~Z|i7FtyV zZvjG`;!~=kh+19>s-?lt;r%!B(rvIC zENOuo?f1s3qy;`B3*3YV)+o<`ljH{m0OkJGLldAiv;JH*fzPXlWA4F;^km>8AE+a zruOf*8n5`N|0hN`ZY3%V<7bKZ*3jLTQvPFlQ6vo7uadHo6K*+){oM5n&^`=t9HMke zlbUJbgs&CgqqD@uO3}gdf_LS>0+y(JHs#KHkncl(Jcut@cBM&)DL&kW5e|rjX}W-H z{g1PJR4!IXTB@|c2Y+SfA|SefoMQw{;!Cx#F_sr9K(XJoRq5b8j0eO1?DW~X=?ve_ z){?Y+(b_;HHgiUta-VFwTaN`lR$QrnUE%_Mk2WZxIV=l6ssc;}4AGcfZ)H_nVVi>J zZOCqFAy4(^2Y^&aDh^%p-&EEAloP;bT3=74Ji>&OQogiWLO1W>z4Ch)X_qeTZFBuv zUKsW=K)E)>@7Antc$1W;jM*yQyH%%Lj6+JVl9uth0+}pKnF%vGd{2*e5q_y+wdOEx zu?x9p4;6v*=d#@XxjPxuPND=#bjqb+$-p86g5*OJ4kVc+6JCDnNhQYk(fOlUX*P4F zYl;L{FHDZIhV9&sCkRyvDU_*^S!zDDio`Ol^{Ly|P1ddTep**EJ#R>?!9v-T3D*qG zRXRI6i{$1KgKogZrf_VnVumXCF_q58Oo;aV`tAf73>D0`*3M)}OZNVk8UHUTXCIc) z2y2*Fw42LFzhX@9`Zj)Kr(}w356@Ug@ceQX?FktPCaJM%54~Xe`+d<3P(cUu-eB<+ zBrZGyloYu(ZbW;Jm`rp~7N~YWu*v!>VXSzXfEXrGf{Fio&HL z?$p?COosACMx2NlSLOmk$Hpr0Zms%;g^oTpPWqsse4qiL51K3KXuB}j2K16h=>uLQ zetY{r)a|d>Fwmq(1wG5`pKT%f*}0hhHt^b=m&CXK5h;K!Z-TR;$Q5NrP&Z*JjC;PU zZ&mRqw!?f&rA>if>U&H1m`P>4V~tWyj)%^+sIKV2IYMiY)udOKsxADx(**gkOoinoJze+ATHm`1k6)UY_17{=)ZL0z<9OPYHnuULj?6=il8>SV1}3;v*adv>7E zzb>B#C%ecACx&N?l--&236TItj-jcA6 zpDK=S5L8LfE|`r63lw+blXsRg6k(ScCU4{V?~<{sT#@ST|M8%3KyuQbMnFoJISL0A zbw8+1$I|h2kk{D^HT!h$VF$URwGrS%XueePf?9%t0x=(k!?#POoVG9%^fIgvN!(|D z3Hj}o+vsD{*vbC`!_%uiiOEq>@jN+1F8&+?%k-lT7MXxd{YN-A-6 zkUs)j&@uekb;QZ;$JqT8B=*KY3^f;l(q_ZIL~e*<+=q^=>K6r?M4U%I*4B>L5Z?$2 zKELHupL~|8nn-mBy!V>LEMCO7JaZGr+iRKOraTc%T5e}hAx+!WE?r^Zo*=|>S~e_s9Ai6Uh!Y&GEvowPdiB{@L$Gd+$y%fU}xUzq3+pGRJH=q_y zO_Wt%eT8D!wIHVtYWSf$D?8IKgu18Z>26kIU&HLYX;-TnN)?s%{_o@Ss|B=E3G8b} zn+R-a0va66p@syiAQp9t^Fb^iQkzwmlG)Y$kc#Z|!I=`kit)|=sRUq(x*r~ONI|+Z zTAb``wwo1H1K*YEka~y}@|csDU14$)zEVAm+d@YIxi4tTAFtR|u9F!1z8W$C!RA{X z#3H?_E=`ZS-qQP9TFj%!;4_m&kxbb=i(N(+sIPKjpjl);oeADysFG$hI;lE^%qmbz z8!_`FTRr_=I77v;QcW?e)Z0kkt|#?EG{F;cBZ7ELLD{;B3?PDo+C!A zTXaMsav7!Qmo4Dg}E_QIT!E$M5Kl|H@Fw9+-n`^sEeXva02w-~>(0Z~z`z@YvPRn)q-LUpls-7vCPL zYAxyWB|Ob&CfK2hn_j}eWIf9Gw&TYYD?jNvb<1^Lu1&$Q`xvn`(dt_=;%MJPC%y}! zmHe<=09VmX;`tp$>y=05p`(?!WeigW;ZgBhA1iyWhty>SKcIH}T4RWLY$%;z(M9L^ zo%5jeC13%8*gNXOcV6#Ch^d$VcB8w*A^!Jm;JS-guf%%f7G(cfUU)Z~NCP;cjqS74 zc2=QJK;_U!M?Bctz`p%+-z#6@NrL$xCB`LX5)EupZhA$GdyqFv^*+@Bn;^ietX^NX zlk2oX5sTsRS%ZtS`ljeMb0nxO8tg5e%VMiLeVdugppBXJ*ZW6bt}Kum-RPd5C%$S@ z`MpLF`_CPE*C%kuIbX83tA^=H&Ww`i+`$O;r`&O_`02>}^;uW&yNmA=U4S-=TTIUV6#8hs=c5 zB<&o6(t^~AHGVR8rpEl%PIT7-9$RV5ucc?|C?0alC>%Wk93`q2f2m9xIi(aLV^rEu z&W-4!(YV@hOi^mWMJ|`?Fxcxt^RN$8!h$PKCEgoxGOD?66eMF9=#@Os6V;YpNJDJ- zgKSc6e)*Uxstxsz@35y^V-;#H4z8i9cG-M)oTr~W$DSJ_rR}oWWmU|w(!)XddHfE! z46SaEKfi{MvLbqDVVjIqSX*%R^$;nl6BA-%2KKG@QRw3`Ik2sF%FC`FR4eDEBk{=9 zP}SR{aLE#n!|$Pzw66VX);DXi?28${0$Teo7Z3wlgK9-M&u7Q9QiQ0%kLDOCP!m7U zO0!qXIlDQO>`*J*pC8_HCgU&>MRBFDog(*TCAkf2;+|5jBa>4Tl;~!>ElQSo4^#Bu(l)Y1{ zi${cA1YdEzZtLf6(Lc3LJoOpoMnV+1`7Gn*L`YQf?FQ=ED4yLZuj}4I?0?F9CHzDQ zyaRmwpT37w&3DlCf?8SX*8n2}!_NKuzy3n_PG}(xeRu1oTq6o^AcvNoIuf6f3}~Bj z5OhG{vdqFRq%1L8s&(LBLf{6qtnx@L+`B7@2JhIEXOQQ=&yPv^@_aWfHB-^&guLF% zU{V%&3@BZ*Wyppv{>e(1tg{N3cu7ypRLH#Pt%QPR9fo?JzB%){mq<21Daw^v30n@- z+yBYx<6qBDMb*ziqCZ*wzW;NE6njYcR6y~`t_gYw6X>h)77hh z$^noD@?QStSFJ;U6gOTwsJ=piV>C==COx_0i6=*b)uR zsl4xWc#>I!_Pe)jgl|!%c9c!*5M6#X+lp%>>ip`O!EORqWsl#F}y1c2W19QiIIkR7yFE`)p%#-u)UUPdurr((-FlcW6 z>0o6g{6-e`UoLsxUzqG-m!r&l>VyV{EHLXnP#PTAR1#U7wBul6Ee<5pu{=nk{L7_A zIvnSkg0v{w-o=HNnlSz60LYME|KNiTggSg^n4U7_O4lnsRN|n=(?J90J@LGhDEiOB zr(l}%)G0QgtWJ2b{(EyjTI~(5#4cNfljFvIc5!jCuUsdT|LtX-?z2V`a3li{=-v>3 zH*RI#RVShvYUM?-L_d_AvY0~i%ze13Hx7=yFNSh+8sVcyapO6rTKDd`K2B%!!PN1) z&izheo_R7&l5%=&m~65l7^g$dvuee?e8%+s2ibYOSTeF=k7+g3g@P}SK7C0(H9Bvc z?U1bk)50$c(7fzX$O@`uZ4?H14am7EV%1=Bh~m7`SzsXwB7<+(uXOm%fuEL0cfHiG z4hm*?b!hqV`}gmgQm;C(6MeqN75qmF&V;v%mxz5-1;<-1e8q(nO*lJU(uI8TEL=HTPnD$_;mg5oKP_O~jYS?@|6*U~vpr(aaH#K;sr`r1k_3YsI~* zIhv2-dVIR%Q3B;Nl)nY;q{Ln2?z;Tu$4}vp(Dd`&Y-BCu#D$Rtx2meDP(hA_WfT-{ z&sDHf2?RP`zj=dIgm*z(60J^%8&3B?+0Kp^bjhIbke`lD$dD!!VoM23nQ<^0|d=xZ%pucmS ziZIe1($kQTFi3g#${O((hSa30cU~T^)7#ah2oh4fb#0z@d+^`^DuC3O2Rpp}roN8= z4d+|u;Kbc`Z0tlWRMShtm5UK~@U9c%doPbQ8(0bm4rG{JI*ky+;dy`^LnH9|gY|=D zGa-5j@{e|$Px_utncm0}Vs5=+F@n|Y6*U%%+9|!vdic6JHgP1mzhk+4@gnN$!ovIV zgN2feI~)3<>TN%-Uvf22qKI$pJ3;8zB=WN`KeWENvEMT5ZnH$+y6g>u zv$VmuJ+J_cku(7z<)_INL7(ECho2p!2g3Ad(r&_a$zUe_b}=dAo# zisrLGSlAt@%#aCr3o_mDK94_Zc#0&?N>%%Y9BO}63e~iM7#jXniO$W}wGGWF#`(!B zDH9KQGDd`n0YW0HmPM{?%h4+y`b}XXq?$YrR2iSIe~3hjvm?wYze;`{N56*B>&n>TL-% z;bZvC&Pp zCbijdUhyLRS?-v2@j4ghj?+l%ik&x>j+frK;;(kn#y4INSK%twGW!R)|1q#hXJ$(q zQs)`D2o>o?8G)1`(5mG5Ersu|zUvBq@=IRc_V-FgB8ns&fDWRyI#^a+%D_{GB()y%b3q=U%8CWj)>g)+fCSEP^*$>o(6KBuCt!jg8+Bl-ic%A zN&aQMi_iG^2PoQoa6V}opxv88$FYbN6!7aBo)Voe;PWnj?cnRuO-kM$O!q~0ncQM0 zaILI5<+}bDK~(OKL|%-5z#NFy(5eTHEhm0*Qgyao7|Zc{P=X=G1(l zf8DyJ^-N6SP2*Y*?%u47tR_lU7~FID+DmUq6&jKcX4;m%pkIAovt0VY^v;GV#9SaD z?y^r1ULXDP1M$NewJ)8+NEnymt4*P?_xtxDP`|Yf0g(It?6YFubxXS#`2Lv`HP9Ow zq&)o?srkTy$s5^mFQB%DACts=^qAH{T`0_bTf)=zAe^^lsol;Ioko|M%@3ojh@*<2)5xZpRHs%EhP$p z8u_lxkcKK4+) zc|$zv!-^sTp`>(2THa;%J8b0YWA72DtTq!sqorI|jG^nb00a4K19xU5#YV zNPO_a^MaaOco8bEep=>22=lWc+Y=u*JU6~^%5}JtU-u7!;Y+yx<-SZ52BscqnNMi# z&6BvE8m=A0hhV4aV$e>INY-GmR^vW$pDb)ahaqzd!QFYJ7CtN6P=H=z(5o7?v@_v( z&&}G92Bv2iq(DD04$6m`hiPYPV8Y?%8|^yor$1I!tvac?Lh$o! z4R}_gPI{QQy|91@(-m%or(EV?#~V+1s9wVucrPI_gMuxpl455yv_Lj%T6Jv%&mxfe z>es2T&qW9EuH*SSawGE>^geulNk2c2k#+S>dz;21wKp(D8*AsU^!X)ThWJ*H^Eup| z)fQ*yyIzXmOmS{Xa$*)14rp8OnS3hUXWRl-kC=qy9nF(y>LevLC1}m&y0zJU6I|EN zr83AQd2vQ-Cc$Y*&A{FY?pRTSSgEm^qjiUdX@pG3sR#@EO&=-sBU|PBR38qoj6HM4 z5)-TrR=yC0eEK4Dp`d0MHp~nnO3ROQ7oQOojf65XGKyUH(4Bjz_6ADV-_|%oK7m0A zDJl}Z-cCOCDr(7$S2e^4EOF@2_7TKi)3HF!u9FZmUA0qd5vtdsNXy(MG_1zbgAB^LFzSgOx~y$z((YDM$BBg0_OtK zzWWi(gfJ)=y7fU->I;7wxC$IB@s4$$+Nl35KZ(}77Tg3&n}2@xr=zx4`HS%J1Nx&t z!7XQ5&kwfrfjpQwnXASoyyu5vb&T{>XX~HRawG#=AVM4t%W>rjUWyIHLv%D6I&V6| z>}^**&mw`v_X+iLoA6`ZOe6^4&`ZuGXNM2Cpxf3kB@CU{b@-Y*b_ED8oxsj{pQE#iaFl-6+MY;r1l#R>M?L zsVLF|StDFC3ao?%8#x;}{#zOir->To$%rn=i_c=;M%gp^KKU-*jO{Om%RasVp{nNs~P~}C#MrVvepo#i*B8!dl2gI zBFf7kK#m1s`%on%=6()`CyFiuXs#TlKk{{x)8QxqhML@JqNM}8pOO=_HyVU!au83^iA=Y^FeRNq z)P63UED2!xYYv);pvvA^WaFaSxMr_LCwM};8#nkX?SXux6!MX}Em5uX28yVVLqbU# zFZvq(liIGvuKv1AQz_4TQ-*7)(ac=bA?s5XxGR-pAvn*BRSZqi8_yv@RCJs5j1fZL zCn4EHYh7=z70Y|B#32h3^h;`keOO)Ngf4P^f1ZzE(Vj4-9sBXUcv|6TH&oE6MY^?v z3D7LIu@Cte_?$DMJ5>qD+q9A<`>>OpAk^>u-y%Nyqg!Uy+CoRaUan0{e755Vk(V3V zCE07b8t~p7Lj#cJ#5idka7s2c6RY=>&(_erCytncfpH2?vF(`L0{W{Ub#p&1(@G;% zPcsA%O}qEtvNBq~wZjf+cBIMKojKgC+dL&b-FBj5E{%Wsq|t1Gcy0pMhNvf?nn`4D z(CYElpa<*ESOjQsBq^$?O>Sl?%Axmu#Ak7}PL#-<9&G|XMIqC8VLT~wfjSz!p&WO* z$-^PdiE%vfsgmOB!dC-VhZm+x@yk&Y&JhK&;5iQmKTz)N=}+pJMeR$>S7^n-WKk3! zsKcr)BOCju3k(F*0BEfHGIe~?ZH3NsriHYbUC@Kjtw0Iv07W}LC#UQFEDVL)Dcs~n zqv%*!@yz=_7(R}RlQE9fye!9(lb1)-EB>%`I(Hg6cS1G&Bd9(1uO_|C#}Ua#cJh!a z(YPp}!x>_Byt-eXV_w;RvD2)}J0;3E)Gzv`8r4;fd9eoX0#Wef8cXBknAs^q$Ynu6 z9r5Lfo2hl;*I}AAa5t^TOaMz+1FB77f{|Wc@!743}1Y6R1Z%mvafg#L1NIZ71g?fo{o(xRpE6)k-@0kF6)e9qBY zwFVL-sD{SBj9JF}VBdAUc0{p@{Jzf^j*`Q5lBd_Nlj`e90dD}K+1u)!A&@ck(#vNQ-1_)V@wUfSD6NRslx&O^B?V>UdJ59`wo*ws`A(NZ? zA*x-H=86O0-YpDi05_|1sqj(1{`^^@<5rCNtM=mH1#}a^Vd=8fu2?0;`aPR?(fMcm0v>`unNFd-32UC|(=ulEYH!yDlk`S2a5Ih%ns75OLtc0VWq| zfhRK;_8m2cr6g_ydIo9SLfn`Iz4?G8$(2R4#%NtaZgj#CC25p{qvN&XVen0akuajG zby*yIE!b!9uX>?j4lhc|%JSehvhStz;zX;j{MYh33}jx~r!wGa3R_b;enoC^f;ahS zwPC>Yr5ih@(nR&H3Wu`WWgMcy+VOdJLiij+x_ge}gTcozUpXxsIf=5059qEOMPyv3;ujt1xyKcbPPT#7@bFm#YO( zm3=wZ?P`K+wfD$wXIOy65Z&9GMqEhJuSbMY{9l9HX;0f<{@U5`w){Bw7LN}vTp1P+ z3EUxOu>5H7r2`p)o+$UpXY~iWinviZdxMG3STji3etXi3nMyGM-$)e#&h^*2R8VcO z?i^f>rfIhqq|WbPA`xinHGFb8L{$OkCsHjOdb2)Ox#34~EAKC@l^C_CDg9lg)~Ly5 z{Kv~tzlMtBu=7swGY@2*d>hRV1W&@KcIDOE2!OX~7jxJUPJ_1rq_y~wDtZd~8@3~} z?ik+B*Mb_qAUH;3Qoo%P@}8tk+YxIT?FIKznZNnjc@892!}Q z!+tdRp{pU*rS9Fbu${$kqArX7V6(4|1+Pl7Tc#duWLnTc)I}cx0W3`7F6o*_f+fz+ z-xF^yBPRNr9E6(swV#4b{(y&4JZe-Fw(Dd9S#b+8pjOJH^YK$-Iw;|Yv7mF1wi9Q# zPGaZm=-6v{o+4EoF}cRa%*R|0sB|#rJ(V8g`?@DL?1L1VsZsFK? z*|eTC{f*#$beK=xIyC4TT5GmjW|ippbkl8xk(I^P{Ma8gs&A}(=JjT44FpoYw0Abe zy7Ez9b#kMAi0%mrLTpOAyqE-9U1l!LgHI^4;?55l!Tr&x&3ztus;OfrG6eI80hN$H zCv7NFsgd>2bWz;9WEF0O5+D?mIiT|1uCvMvUroab_ODm?y;JuzzK&$fTQZEvR^N`- zDtu>hVL`%?sUTaJs}kGzqP|h7xJ=T>vQ~OoULODQ94&ItM@4&8vE6RNR6D^ZFFHrd zs8aVvp@d!3orL1NCiv$WzK1`s@9%D52zN=wS9Hv=9I);#N93GPtSAzho>C-)=v|on zRk!bJ~B5C{Rd$owN#v7!XzWOCn}D9Neu?4FNN2m=g@n z;(PL>5y#PDn{}${&MSiedzP+At9X%~Uaa?w?CD8)UQq1OQXsNE3Mj*B09j~?Ibu>4 zW{y#xOkiPQ?h~`ZcCPk1%s?iFr`l zM^=|+<6+>s&gAQWw)Rn|;j&M|5d&V#cdCcj#}fxMC>t-Ya{Ujk)DdY%9w+9cmb5mtKC7aD~g1)A(B?b{kys-I-yZQTpSbzh0su}Zn3a7;{`X*d~$x| zwe|$?J+k}*REZ5)K;TG!TM?`rDsy5*#hgr?Hk^7~lDppvf$U@cC3^hO_bL&|B>^2Y z;EHj<6+3?ZaQ^zIA?AentTXm44gTQ_GUE>^F*)j}J&I9@AnxejjH0>vu+92Cr!tzf zc)EZY_2i4d1@BYAZ=dik>J<|!P=)q(`4oLQ`pNnb1sJF?cffSfRU(ozIlt!0)l#}M zwbYbOw6HXQ^2x5?6S15O|G#?QQOh~yUf`%u2eb0F>ToM>X?d7TY1=F~^R=Osj^Bgo z$RDY(A-8+9`)iy=29Ljqp>9t2^IzsZaFjIRDd=h6y82>902kS(^TdP{*=p=678;}` zG!)YGFsBJ^t}WCQwl%RsjcT5)lwM9YS(DtYA21CUD@3z5{M;G~5aOZ)*35NydqCDi zt3EeBAE!?E@naLKUw7G@+>jVK=@g>7lWjBLxt-NXl{>eV!VCm(Lt3ZX|9GL_7QvZI zZ3po2 z$A2?ZRH~0=ViDzU^h^%;xBlCEza`W2b9IPGNo7n_#;+;3AiP+!Zi>yjFhap6l!@(- z>l3Adl-aXOh)dY_5|+`Nh#6?`CAgfU)F+SeTz+Ey!sdA0@owWEzRR<-H}j2VJ*9EZ zljEayh{H9Ho0oLd3c;# zuxKy-BGHj6(*+e)Z?0Cr&Jn4h9M<;uf2h5_CS8dFk0$t`NudO$&X6a=JBfFlDTb&P zT)d$QH%`>k0h22Z*JI(Ov(1H{fB6As`r6_Cn;-Uf6;uqgQ;{Io?;5+xZ>V+%Uo5DM zgT}sgG2DKENGZ7?k}6y>vwNq1#%%vb!#&myOgqa5{%!0@Y3|UqL`BgX)Uu#<&*|&j)}M2|94Sag ztPAE!$-~3Ls8kAwK}bgYyzZSn{OHWb6dxScgGwpEK_N5#^q}zc^%o$)8ty={=o&Z?*$giU8G!b|U%g)%SGQ5I7Z0G34D;KdQm+>ZS z5s-BG)#bP+M)uxb-lE>F-3Hq)00fGO(LHb*1STqi0M=u0Q2l7K_csI%;t^-5JTjne zB*%+_kH5QIfWVNP7}w$MUCgD+*Lz8*UjO)GG1hOy$IYR4s~_u(gg!-bFu zL54hJJFt}6We+SiPp?C8Y&#m`QZ^E6LAQ5&a#K>7i_!x6GA7H!ThKwm@vTY(L=K;i z5N*cHE4Vm^E8&bTo~1m}mwLs4tpn~RXQi>erghi9+PB&i+BZ#^M|J{)fRGECw*les zJi8rUl}BQLt-{1nR0^iKJIqhgB&NdgR)0mu{J?CCNN5!6aCflv>Q@Ut{Lb1wQmVMM zPR>==tX&i;Wi$USjobRIL$#;!)YnfX zB_QSd! z1rPB3{X=lYU}Y8%^;y+Nc)qjegkj0ZXvLfk3b!Z7!njN*T&!ACLE55h#+V(2#ou4D zg55MSGKw>zH-i@*Syouu=V6H#6BqX!oQqUpA13n-?V<);Ra#ow7zh2aSMT@bjtqT{+up<5{*4}$pdFmnQa`OEpN?^a9 zQtLQMPt0)sanYgTX|m+$Zx__sy=Slpxyi9FD{bTlU=3K7@h};1}c~>?CPVfzfg1WsYR4} z|3?d;o)EYN3Amx)(qOH>3~@6b*3Hjl{yaavR$D(_Pz||DxBf-D8#iBjN6h;-uG)bb z9N3{i&qMD=SF>vZjNLO&XRapAD1B)ErXWll4))tWk%br+WEQEbZ>CxGif1%@h_w;Yd0tJ^xLg{dnH{g>o1uwgbX zA?>_3W4+7czuW9HH1e4i2!j}Ej<@w^>CJFvRA1S+Og=frlK0p{tYBVm?lghg32ix+ z*45n{Tu*NOqi3;Yk(Jt#-+jW@>mwfQILDyF`pgUte?Qm8;^(& z#<9KbJbMU`w?BC&=n25c=eG)KakCxY=0w%E0(ArF!fzLZGB+wTd*31&h!Nc!Dh^F+ zI$TJjqmbh_dzK;L(2@~FN2{IVn0ak39BpF=V?v1=)vxU;3DdpJ%_U&_9Gi@kd32si@mS5f^ApT#%bpN+Qy5p}{muy@+ZkO@vy_zH*NV=4wopz** zAKk{=E*OQxTeuuRGZo%vwFNWOd7~kv8*l@K1qj9X61u z8?12SMV-^X1=075l+8}->Bh$YCPY6JI2+Af!zI|>-ga13Q{RBlF5c_SnVxPRZfOuC zDj@J;^B{T$LyAx+XoAx@D1k;}^GLqCh3;t;t;cWVCsVZ?MZjX@DXv{G%cGu`o6CW& zfEKNEu=~mYKQWI7ttms;hhgyK!6lQ9Pf_ODNIDe;YG-y`(buQVcCcNN5fy8;6hS;N z5QVFDsKS95@b`0@HUeBoxo1NPG0YKcZ8t&wmheXeMq#38wAsYhDPJZJ5qV2uo zvE2VZ@Qdt>NJd7+ZI6V=Od@VOA+pPeGBUGOB+0t1$VgW93fbfovO)+M71@-L5Pq*q z=bX&NMi9KY_Va4h!~e{DCp=s6M181NWJDT&XnvX=oGSK)%jLsPrVj2ypa zRo;D=b<=k#!x>Xqzx{*0I^NoP$xDswGKMBSBjbx-ORn>oN25#Jv}C2;8}@!H*k+(; za6nU!-3&1h8a+9WwTVpt9U zN1@XSCvz(+B?jClzuy+oJlat`V3P^;}ArgC4ynVOkrr)X~}v=Mv|uUl*>SJubLemsp!db z(;-+cpfa+H|4x>9W$lr#LsmbwNk5c25+klXDILB6U-82jIioGmqX;{VDjyLhn9Vz% zixIok!5Ezj7lzC0T@C}Lm4TdwoG5bV>2=i4AE68xZt#=2Z;2+a5PH2&LGzE+%p>U{ zHzyk8ZVdHFB#G+(_SWx<{p3%i>yW?+!5?4W1``bMw5_czzYa_dAaFvHF?Ta9J2(>8 zYfrT7+P1`)OVM%wb@*Eg&>2D!STTGR1>Ey=^xqUq9$g$S3kLQJq1)|0I~+6K$5#E8 z-PkQg=n@1V>hXfuU=m15*;pe%g{Ad!q!TzPa-vh3F#wH1WC9QL=FOXEm_ z^eTF8nDA&%u`P4rLvV>?)PNR&M;3rbBq7jZ01+P^$n&6~yD0271h6xZ-M$FaCIgZ- zTH|N`VU)mEx!hbNxp*KS@Me|Y$LI}O7sfW!ZUZDQknwr`VS#B?)W4KNDUx3I%HZ^d z7b$CoxRZgPT#1SE{hn6G=LmvGx-iXcA3i`%f7@@!5srqv?lUbygJZs6l3>fvbmtS3 zdn8KL4Xnz5TuezxL4bwUw(}7z9#RMF9&C9@BaiWwD}APU5554ql-Xaz`g1~H@yI9b zlOJ077beRiN1?m%jBQ1-r@3!}XTYv75_W~|q8=_aZcS|XUy34J1IuTeqyP$`g{2WR^hO?7#!-YJHILB8YJ3V(L zQ(r`O?IR|8EIv#bV#RKm1y+)ZcA9)~nsE{Db*^tydT>I*ujBQNh~1QX{HKk5e!`Sy zWyf@1lyM?0a0_Fi&?y2CRJ*kPC68+i7wn&K7LI^jP8_aug7d2Pstd?dy@>igAc96; zJ!*|guM#3aF)&s`6qL(IPDW!@hC7^rqK9-Is0gw0HS~-E-5w!yLTYncoHzvHB+&6x z%2`ku$Y%lL!32==iT#IihQoNAa-4?RBl#owj(JxNs`p-M52tY;k;;cHvWv!iK)Sn)_r?<0DB3h(734ARReC5u-o;*qJy%My(}9 zDB)xPVKMkT`%*o1b@eOs>dF}xYbYIMm|&i_ISk3nL8&scmL(UodRz8IWhMT*;o;oo z4qXvgtQ!CF|BAhW&z2Fc#p=Gl z`83KXw}mnB&h6L7N^6=34uHfsJ|PdR+sBXOAACk_KeOtST|PiZ-@fOl4V{Q-7rL*! z3hmOPV>SkRCS_)tB8v$-UPStR>vujcN$_m)#~H(qpZ+O~PQEKr;xG3oLJ>=%sA{5kUZrImBMY#SDQ^_=<>p7)}{R;#5mnC z8P+p$Hm}>GvVrqoa;)t4fZ|Vlm}HZYbR>BCIWM2LFt>engPZaxp^OG-SyR`$D(#X` z0!k4CAlr{9ZpFVsb%yPDV@I7Pq3`c+DOR=R)dwO@sft00^dQ|t@r8t!0DfM&B1;3x z2vZ8sq_l`Y=e#)~12Qugq^xJA<9e0S+qqGUilrAcvvv&efa_K9YZlv&vjF0a~z2$~{Kjdp#D;uz%Ov`@KPu9i(4_ zgKt0*t}8hMhTzJy&?V9DJ3@fTMv?Wnq4ARL2LJ>sZ(e*Laul+$_YL16c!!1+SAa{;_3(ZaD+^v4{&l1sPGy?5@!e+qDugC}>01Z(kZ zrk77V`5#*6Uy|~&olSn5cqLGn|G507(O^-^q6SGwOD+N~8)fFa>s1`YVm{J*ZF}-; zaB%Pud0Si}`;##|kRynJNI;3qM3xdr$4~69yk?|K@Ca%ROxO zR>bH)b=aYLVi1RA43o^20eDgRSZfLgh+ve05AY04r+)VL^Rj@sw@i&3%QPm+uYRl zN%VS=mDe@}Xe;*7dEcY|3{UPKZnT5xzVjE0pDL5EwfB)q-o=dL+u?O?Oa$W~^k{dee$l2)7JOf*qZ7^Ucj%ik5+M83 zIy=Go%y)xoO&Iw32Or8&9e{K3yR*7;?>vW0k=TKOi?=ogC@*tGcGJOnS;r9W4qFcEd-a(bcJFS{5VAg#nB|LHad{uT-*7YK76xJ`K6XZHGW{nNBT4Ye!xdoTX2uEOL1G6mZo ze0dEi@Ce*~tSutfuU}Usqy{UWJD>oQflGt3W>xuzN*uY}Kze|B;83=m);u#H<1iy+ z)F#68_bs6Ys~^JZ3|Jz2Ot&dm8$Rsy)^^Dol#@5C%lhtNpG%JpZ;M*}T^3{tWkFe# zmt*(;!-klgx6}L-tj*Csz2SYy692)t zO(%p_LT*8k2*jg#V$Hx$2pTCG8;|Y~k-^RN_BNybsz)4>jmO!!N6wMyhJr3bBk?~H zyn-@H;VZqt_Ogv?M5K|0fg?L6bbU9 z1LcS+oOtH*$CE?-;-|>JlrY_bvLy^nud_9nN!iWCa_8x|5XGP(;WJ;zbMk4ZrMv(o zyDkoFMS5W&MM;$$R3w6_{R@3n7m853@)!I{3*-eZV4Mk5N|TbCqvzxB07Uy``HjfZ z;8TEcBvqtXi9Z7Di6a;@W{BOOkP2RrLzV@Ko)#2!e|o6oV(c;vl_{K%af7I(sUaOo zWm9xAcvYzD^IfLt&;bf+~ z@%0I9-K&5v{K41U7|ceHMibi*QlxyQ#jC1mt4a}DUA|%6Thwg|fe@Zf{ROb%sOKv^ zx3iPy-E}-9pSu0TfiqE%Wrdu~l7R^3XKai@0hB5Sny8p<6BOeKfO><>BVMwskS0PX zT%r25Ob}EdAT|zUVg3vEL?THL&cvOS{0ObX{9stwz_{{~*#sr%n_P`Mi&ZHVy|^=L6Mr*V?h%C1d43piRHa z=!w+(w)>1kW^%Wml5}tT{9JFmH~PiOI^s`n1yWt3MWAvm|0Fy9l%}~HR9q|BaKi*X z@vdqPxId|Vl3Dskv-aq{*cbw0yCp=)nLVRA6 zg&fA+RCjE-#_;Ci{u4L^8T@A>FAPvL^ZFl0zisu5g2qSa<}jQZh@pp~9rT0;!G)49 z00seE>hPMA;}SYJ9Yw4kw%u>2%6P0JY*Jrj-VI- za29wax0kN)_BqXKK$#toPHUvZhYsb|pS)abR`|&X21xW8blmj)Q7$5F9|A==KYBQD zOaPLCFR94c4~1oXx0ww@WZk;%9J(YZ1WbbboqY}k5MUMy!%+5Z*5HA&&c8LouipKO z8plx_Kq0^bu3bD3Gs&k>C3M6|+ZfS7uz@yNLxtF49mi1W{ERyLUDahE3sHeGY=80N za{NjF=)7nBPAmby1zE5ml*K|`KP-4zX%&hGZVf{1)Y|B8Xjnwvo=SV~$<8F8q8UR9 z(G8k-e|s>$8>f}Iu1K9V-Klf{ommf}4j(un2<<qQNe14lh&f!B!C$+TQj|!ju=JQLwZ7-w=wShF7hvp z8BPNXWp4Z!q)YGLK8br%j#z;b&3K2|zM`l!;B(z=9h*-T+tvuF366Xu8G?M~#^GB^B?{xx<;r14Gfs*BM? z6_ofqd>i)siax3jNM9M90GA2U?A$9AZ|7Vv_u#<+ya=p6``nTtrlvWyZDHeTl8t?2 zFH92P4l!*hnYVi!diG#qZlew0S#kr;Cp0VTs1ZF6}_R?nQzkOy{5s|npyqpuoG z85wL7A$R9`&~_1?d;1Y(OY!oZ2&(2VYKBp&9KEL3o-KKjpT3xv5({)-eRi6w7@3$4 zSzJ{0{66>Xp!)YZRZ-FJ!k!o)f805(?9+Ot!hHcWsGvvp%oG#snJxBVQWg?|zCj1M zi>q5UpDUDCK?oaLla~1}CZmXsLTOfVvFS5lgG1{)X+uRVuzkD&atQy7V^%wLG zs%#k(P0QOe(a`T{^l;NvcTUV2mFQz+oWpRaPxTFXy;rl)iaGOS-9=smj8{ z`1W8!IDZ#Lb!u_`POCgIh+p>B@A{zyDBq2CR0f8-2QRaEI1P7!sR8Ae9W||#i4NZ1 z#j<9#bPv~`T$zPR-qg4SE9vKGB{a6m3TU?n-#)scV+n^-L64~yhENLGH)Sj(1)`2Y zr>1}a`Zp>|XwBD8r*FL{pGuC+ReTW!$NnNa_F;a7oSyU|TI8yB!~V?1$PJdF3uK{{ z;!r*k?dwu-BwaC*nZt`yiie%)#dWwY^o``H44|rGxI@2OdY0&M`4QiVK<$DTA^hrB z>UTcZf&lEW!baf$Z5(fAViADN(en;)&Yr1g%}At}jX0eX*a~i|xM<;t*4DDOdg`ZuCC)#yf73DC-DX^&li^r}cV- z0u9XrMoO_YZ+TX4D+RF`U+A{cFtN7h-(a4Q&qtmyQ%emkTiyG=b_rj;7l-pINn5z% z@pU`#d^>_51{tlaF|2;#yGcjz+RnPpFtuBW+EQ(ajWT-Gk0+a)P}uwYh`c~v&+55oOz$+`2f`|GUjT57ARk^!pQvsGD}XP=Dskw~4cxuK_qO(l!8uQ{_M z$aKMT38%~F#m}!-@18$8Z9xdY=1hepgH(0v$A#|t6A02|PaTGplbai=n$UWHOyvVU z0|&oibprwdw3eeaxKoxa6DN?D4CnAOzdK>~*XrlYIaT^6d`3^IHttZ&EuX~dQ!Ec& z#$>BxyRSB3v3>V7ne=pxKD#JyIeA+t@lY{GVf4p*ilHvsq=-ZSsFSxVo9Z}k(efEV zHSU;hqyf%9Ul<}r5W}Ld^Fb{kq||}FbfHR^tXd+M-Z&^(;>xNz&7q1opSl}#)rKca zNy)qN)L1whc3>smf8k{2{_3VKv{fEBmhxThi<)M3rf%+!^ea_>Lw@o3!FyVYFD^ds z$KKAEFtIQcGvWHEcEyUzAykqkjt2F0ff*BmSX2wsbC?9w=X2p1W?vVd7mS}@UQYEC zS#?Rwp1XONDf~i;*bKsUk1d^H_qw9=#}s*D%Mx?7lo(&UxqCg>Mq8}Y{^=?KLFw|N z<6QQE9LQx*FT4 zv4MfO@_XH|_=*VG@pWE`hCLSS(Dn56G$^t&iU&;(S5_^xXbLGJLVr&2RAORm!(QzB zo&LU#TXsKM`;7UsHs$%oHd*GzPDIQ8igSkcxjf=Brv$t*M;zQZt>D)k_?6vDHgBx5 zYsqEunGy$k@sI%4-pR?_190m5Viry}Z+3d;9D?=WBD>8C_t3@>{h+)e&yrz&anWRO z18&FGHm85gB8hv91Q8C)dGnghUCVppa9?Vby15tcShUU+_TA4dxlUX&+dBBIj^`$qbB))XcIqiI5Kr4atNENJ>bQ z>B2fK;5V*R?U9Y~*L;A`%J+*y$o{pisJQsDb~ei#KdwC!=4*!Vh@YQdw`DitES0Lq zALmm0AkJ;^!>QA0<|)4Gvlqu)I)sET$8vJ2WHm;p?eA3_p1AQd-0il`Zu#;+@Rn|0 z)%cc>CWWTmSmDBYcf!P+2e|7v^i?fQ3JN<1*Yfd=a3@vP$WeXEI92W#h-Qy7GrKj= zlMv8Sh8!a&nn`iDFp7s+3a69{4 zTSi~izEa=Tqvu6N-sUFWqbFZpIWBB{q71AY7d9`#pcedn2^CA<`*%^8+^=_tNvK7% z*^We68;O#i@4c>E%Xx%BzSr=C3x{*#_n+=u`VYoq{8 zDDUxbdkYH%-RDJC z^&$_ftcGd$1&n$@w$0N#4$ zgoYn_+ZC9xZw7p{F?Xr$DE31y=Zl?8>rK4et%|d+xiQ7ZwP;jyA}PBY4kN_mX4e|0 z>hA4bvy@NkVN|fi#9+B%u!Q%{5eW2OJ$;psjsdn4r<#ZmB;S;uOPQnZ&Y`(t_!<*Z<8u5qy1PMjF}S_Cr|VUbsyvM` zdj{?9eLa49+gU1^6-*z6sKP{HW_Mn%e<~a>&a2428jkMj+;sL7|2ZzK?#5u@l}qOy z6A6aEmcA_u7GCS+=M8VEAPNMbr{+MKDoO=AhPyqMnRBwTUcb%@{G}KbrM%QRb+Z-#H44lV zT~*Vu5_0J@-!F-W*_LW97vCM6}kpO|PARmS&vz{Z~T%f9%Lw*dtEubnygTohaA=BRv=Yoy9!Pa;oyR_Wcn({7wk?{| z8;;D0Rm*~(_4)kb`N`&cFdk78D+#e?pP<9Z$rh21JLeHZXVS(-_yk96StD52R|f{J zLtGOJG5=*1l@Ll++2?S^{6OMF9URLj?K1ViWAQ^e8WqeTP|^>USHIGs_Gb=az@yC{ zr&ewHhnlp<;^U+z{Zx~Yta5qAj@7THAL?k>@Yrm0rR`|!!y@~54`Mci4#J1z2>jxq{OjU**Trj| zFFn-g*At}cZ)ys}Kmd|gTpTI(IZ$d=6)|}Cx2p_~yy;e(eAoHvgnSk^4_Bm0#b{-< zDP%~1nT{2b+geo^h>UCL=*pqQo&du?SDU+LJr~slQ?ojp_d(I`gPca46O%n z7Bp{18N7$i@9Q~UTAW?dymY|VXVymGaC5})9^YfbGi0CP?)lp}>W??w&+c${bkY6d zv#Ev~oVXP-C{aE}U&4^C(>DAT0&(r{w|^xS9VH>KO3FUUz5e4zSr;{e7%4mefwV2d zeX!VES?3A*#gCB?6wO`ve*5Fxi|*tKge@HXDxMu}dvB{NIKA4Ga_X{ARsoIKDi<)= ziqWcC6N;!4z(x`g6LVo@JQgA4HX7XUm7k~+Nr!{p4?V_14DUl&=CcBosDZ&?pxiw? z)M}1!2v#1pWRF%=g3m-@a?0_LbND5qx_uv(PhtCNjECm#zoQVQkKNZ56FWXyZ;X4f zJZS9R!ck>~_b}06v|BBuGm&H%#xYroV6>9)`XR(Q96~S#A~3UpR?8nbqg4fElpgzx z9mGl9H!9EIlh6bnv;6H=LLGx{CjMMaKm%!Po{hPO#l_FxUy32!Kj@U2E#3`lzi4bs zDD5gaJW3SU*Uy28 z_H`J>wuW8d&nnGHi^s%Cia%dnt~C`VX`@QK)N&eu_B@GWk}c-_0zf(z@FPFt*O_aJeX!YI2&d-6^xG3Z-9ixuec!q%p?n>SC=! zC2o#SdH|-gE|wOp%NM6-VBhk!3pHFRpzumI3s_bdEh|VKKa2$Wy5D->JmGgRkOERe zZ5zyFZS(}B3K1HS8aF-%lm08Cu)nT)^kf|ycBI5E1~NF)B9gYVtf@K(GMOhiQ75kS zp*8^w08-$XtV1@{HXD=C_XzR_^=tDE=+V$v|$k5e8GgzoZSpdVVUE;NWio!)RL zX^O0~0#0uuI`TO%B-0NAe*w3iJXGm0vnbE3K!h|+gUeHJoN}QQ^;{PB)FPziyi34F z{KmUAHc11^YWIbcX$;`hM;kx*AyM&?9r@YDc`!)T#8F%{q3HZQaI&*&N9V6i5*={A zL{L543#xX_F=3r2pE?AW>*&@@?f;p23yWJhBp)XkTZ=+^l2W^oho)!^d!$Q;}RSgmC)_oW>7f!Jm23RXbL+&=qQ=2<;stUcF zsz}+Q)jqaMt5XeUUo}*Nf;WB>@?Bb)fK-h&j7{4I{yGN98WwyoEM}ude?dA|v!fWu zgf%rfsi>jwL6HDyi?4Q#sCJFM34U;XWhKGQQkald3~oJ4SBx)wi8TgeI^j}3I93Tm zNY?VRya!C+n0Nl*n8%Zj0c1E?Xrwwn{vg0JMRB@!#qCGFb zY^<-hi9E74?WuIAsH~LE4**0T@~psT7r?*^@EjrG zWsOu<^TbwFRh^X4fXD+5mBwX)OQuu9n~AG2MRa(zPRJLQtH97n$k$z5eF<>X8NZ(; z-K=u_*pZ*#T5usJ?ByZDx_9p$uFprqhE>$nFwO`3q6owLZ{JE_Y)_v#^L(t<^W>Iv zyOr+J(h~Twfq~cK>A&xSmbhOWPDV^79!wmV7ZMV3jMsmGricT1c1iXQ4g<~ih>PtS z7$H>_GT!xXbp0TTz&PJ{^LfrOsH{eG>~>GMFo*}wKx_T7oGTIeRH#;Oz`yS(|pIn z;he%77e}EUCpR^fmFEm_60uMtZAZ}g2_i1OsxU)rYXr+BSJ!gP+-z?~4V+*B&_(d% zVsH6&PTD>XA6LD@=BOS^p$Eh>o7^iZ;^O?cA9qKQyGmgO9v?UR`YjpMfqwPhLO` z4qzB+*RJ*LjC-;x{d}L3sqOm;R<{*I)&NhKt)6RWw$Q1CBBu9>ELKq0(!J%N>%EWx z6)(4(LwFAtgZyUUuG{m%bq>hKJWjh`r{N8N3H3O`~; zI%FSo%f`yP&&Ou2lcnAxrV{;NW_jO|moCii_U+r)v>SGI(UuHBXOT(Ky9A!$;aDM| zKF@}jJ?|B>xrUvOg`^4|phMc&+>|lj`JHsNSZ?{s&!oSwHiE?(s-zgIbanitG(?@n z#ZIqpoV0kOR6whXG&-}+oS ze|~$gOHy4-EN}N`>&9S;%$P9gWy_?mb>|DA41~^aw#Z==g7`I}*#c*CFIOJ<5K5LS z-~1pQP1jL{>c1vp#DMfJ!6szS!R@d;tEyy1KMHQ(t-U_%4kH1&jX6V`OEEdm6j%0^ zJ@uht(F6MuAFSKR$b1mV&~bcds|d^2jpqpWO93&vBp-zzAN4OIfdlv0npuKK6h1++ z({29)nR9;)P6 zK;w*+A4CzBA3ZAVH5rJ>ogeohr8bZntxP!r=eoZY@4Dgtj+vYYLUCwL1cBke*x1s| z(4e^1z~c}Cf&bEiiwvM53M7ooLT9#Fj;ORSt`{~Wi=dikhbRF~Q zweo4&rG^^1-o^fO>UeD`=;Nq%Wr}aVe~y{kj$f!)u5<@%=pc6Xn+F%QAtZFgbJRij za*#l&!|2?Fwja=}{ixQ5O3j^<5Qyn>D>1NYg^=7o2V<7hncT9n3C722cRO13k2y69 z|3hpis4>Wp#pezt>N^L|fs_zJChoFBdPcPdw)&d_Jgp zsE2$WE@kl6v*A2EdWK2&EtgU*L8Ks7w+fDp?E0S4%7sM%kh(E$+c^+r%shPjCw(}Hnc`D`;m%7Q9+6rKiSz~yZ*K52`+Pl z_{KD!_4F^76t6AodMSvY^8CJ?^HOVM$E{vFx6u91-7#)k~3!dR>VmL5KNkzv|s63XqOD%fgS~@j8N01lem}u#~E>RS`7yOnGgD zM4g0$MENlan;hcd!s>4t`}w@Nm0b-S@}pPMdn>)}=R3KXeuXNHlX@J}oh1 zZy2YFff$1gYt$$K^X$g1^!Rbq+YaC?uF?ZU0eL^)PFNNo2HM(@nB3CRiy%6>F+>y? zr-**t-&n&xVEJhImo;C1wOpS{)8Q2_7GO6vW;Tk?0$c}0V{D@UHY-~`KtmrL!D|Xu z)@ZltON_BP50q=>b#GGZDoQKz836cUO3qqDT2NN zkSD_(02vP$QbU9MmTv=>X=|keJhb#$NPK*Ja&opwC<~$|gXhvn zKD99u-eD}ZHSLV>|7P0?9UKR@Wmep(*{se(#L5vJHM9_ifh*_L*N@qa)hBf#wYjK6h4|BU%Tl%W?jckSA3&?771t4T}LUs`W*Q zBOR*kAs{-ry#^#lZmyl#gOV#Xg<@;Ppv2> zvJ+K^<}|uphfd>KA>j!0n~lo8e;NogFk#@JorY+6R>Il*q zpWbo00Krv7_|SsBEUUR&)2-^X7W?@!c-Hv;W>aj@X0J{S*awKk97IIWY;NaBbcSi`0;5FfqM}IlcL>qz87rGq&Ts8 zb4Bb*ZFj{^HWt9$a=`D)+)BJUze5O!g<)1aq-p8;;QB>H!u5dHb~ktBpMxx1F$mH_ z+v%>W*8Y^)cHN_^q1^!67z}YA_wR?E>c7)3Ykmjpvoic>=!O8Ep_3L2SJd$t;BncfmuN z@EcZ-&D}eJQ9`1awnQ7FGl3&c9s>DxdD-*!zl_cEs;bM7F1*%Npl)6}k%=HDD6mTB z^d?F9oTI-)0&9V~TZ$)=FF^@>X7A@0U4AZYaFW)4&a0LW!^9K%bnJ;F10Z>ENyHw9c#uy0>W5auV&9~>JI48vPe$NkL`k$$CeVvc=uH=n` zu)5STTb#?blO7{U#Jg2#O|%+sEw%I-Y@7@UHDb}A!Q*y@x%*1hhDjm>l0JC6CJ_31 z9dPFRL6C=V>i=(?IRtEgUI_|{ecRaCl^UIJT{g>0JTwAf+iDjDHNOBXWspe1hE>y* zR&9%evR!On`uPwS4=N=85QOjJe|z13ApBig8bF@fS2?)WGEY7fWx=nOJtK6448X}&bbOCVd1jJhcpX|gre73odQ&Qn8ED4yx#%uLpR7^oDo$@64 z{m=1wT;_)7$MlM>F1TY8qp!{W&{J#9PgLl&8z5pOzQj~!$2q2+mmWb@)oexwO**C( z1(AF(-E4CJvi63L4zLl8OvJ-y?RkdIg72+6eaa?HY0e1JM`eS5l|PK9!5 zanL@X;6uHkAR(;;fGu1HP+DQFdx|5;*yQhU{KN7XF4MhgJdepR9Xa!%53rJHm}oIE zcr<6OL{}OE{IG0v6$L)C{SUfc`WImf!Xpb%f2CsD6}Ly3J^zX!a1vBPgkayuiYpO;zFIPWsk))L^4H`Go@{>u0*%e5XJ$N}<+H^9i|E zbHF`?1VISEYr9z@*kLEct%}~8FeNn+5qg8{Als>ytz~m{pfn{yXYJvYY*Zbsq0gd^ zMjZ#tsC(Z0tTQ~`cSw2GMnoPZf4sKrJ~IySxXJLHLkaguR&Ixk>f<%d1F4d{WW2Mp zRCGW z8YhYBy;#sH@xH$$OQ%H|C_KSP%(~_T9*$zu_5qa|A(xFR`@OfZPr}0 zU5f8sCdRHMn}R=A@D{3EkrRCu({uLZKfrdwn*UY1lBK{F6}Nzo=(M3vvh{zeSIC%P zBKrOtmFG#**nE-zBAxUQFoiE|AgY861NVM>ykSuUYA|e@#y@;`yrBg^H5oOm8Y>kD zek%=5lb?s+v!f;zeAwcmTMa55XTsy9At2@bt;6|0Y)YQ|D)sMF#CZu)2aSHzfq*k{ zaH#*n9e2`n&AXmBv26!1*caeXiNk98{Z*9J~L^3!18))jxqy!I5=ov6wif4 zU8o2{r+pz}a1zEc<>-zU@99LGY~LFdi5k?}mpY~W#y!F#Wj}jJHI)Iy&!Z8Q34srw zy~5HY0O*3F?f&!@ns64p$3rZrQ@t*Xlm)}rmUW41Le;TU@dCta{r%<7d$?n;07CT~ zW&`nZa!WEEZ3vp~8uV4SyB?pA5eE39DQES*3(8v0aPypQ@GM3JIG)cBl9|9okXD0S z1{(4J5)A4Y2&({HW~Kxe+%2;JmK3rNkT^KGYXi~;4NR3Fv*j0MzYD3(nScwth(#g{ z8u*{zG7$&@fjxwu-(ry+hf$BO3W<~ie16=}cGQgnQHGpedHO%r?SMi!Gdxj@A`ia- zltWgR|6c?lfgPMmNMIcFt^%%sHv9rgUhw&8nQ%nE{5&HX!mpBXkq(Qe{1Cp1^K{JL zB&6M#!-5GI=PVl=@k*a642Wr}=80GzKT`m#3?Nw$cafKAgXd`9fz1g<05Tr<@8LLn zBq{)1$=24DE?sVVJT#;fl$2(x@__MlIzZVJ9=^^L35|~UUnBx(tUCTkXe)a<&*q(BRo|@P}nMP^h46ICPlar z+W(3D|7|fP&(>D^##v5&aqIPOJD4*nyXL?^ zN{+i`9H15d220?bTX$hOB5eCdFi$5_H6Sqr6~^gfzv9e`V9jXOeY=YqDNX*|0=H@qG$92ZzdsY6lgE2KqxM1; zWBa8~7dHm&4{!}_dA_dBwo4b&=L?NN0toNV|CkYJMnZk}9GFF*bpCkrmDdoBLA)k2 zQ7n`{ZXm827_=vFXm02(#7Fv@CI|qq(_~+19k$*nHaFD#bbX*$P5cGCICVmr zMyKRYP7f3ty9bJmH{L#RNy)LYtiNFj_+pD=u!ntU`4lI34AP`TJ++aVH~=vEFf^p@o}My?GlV5Pdx3QUo(I79`T2P$3p1`(#CzI? zt`!YmFU5XNAf&@bB~i}t@n3BJh^pk>8{{oIo}Qa^NHYMPv}Dk3vD3%N=5%B%>usRN z;FUR$y^vSpAqs<8y1Ez+mNQX%+doFL&hERylpij4Fopz7RMT~Q^W>0ziUzlJQuh6j zkl&UJ9>im1yigTW=AwK^ftpiQ!4iwTrX7jJ4N4RbY|9MQ0QGu=oD!lzG`OCL(F5#|vEetu)w!ONRNl{N@` zJ%G_v?^RjhyOA8K6Yz=(MEWQE4OhRNH?;%cmlPVMGi`td=&i^j4J5mj6 zuwWsGiu3GONug-2r*c11Io1LZX^$Nj0S4A0VaW0FxO+dU)v^ z*q;&xSbXu2#7nc^9alF*77h(nz4q6&Pa zvk+Ka6KKD)=mr%dAZJX!(GcG=bBQC`S^6k^?4* z=;hvPK9K|o<9DckK{0-Te(`b_RTrQs0fESLQ!lk-=xE@EjU{jX^HuPXPxStGU`PiT z|HS*v%_qvBrRxEt1x2V_cH`A9NZ=w2=DEkfR{e4KC}=JUQO$+<(sa`C30_z}D zEQ}%6Qp4pf7ozG9R2>1vIz@IO-^_iboA}O`3k)0a{LWz~(jQ3NSXts$m zNXgHx8O5(jU%q#f&+lDgEGy`UfYd3nx*OEVjG+fz3P@ZKWcVE1p@-vY@_$3U-I`kS zf9&nzGT+uNqv=Y=v18ESnS$_MGYBtS9Sj!WYDinwZ-!zk98>8;7|09>ikXk!#6nWa z<2YH}C5ajkR6&cif9k6rUa?t7Hvz_@d%;RHvEK*mH^QssI&<80hOHWU3c7mx0a8go z+Gd=a7<(b@c-%oI2?oX;qV9yG#NOFU+F)=FL}0M^F5c?cVDo_}9lf3E5}a$eiH9tr zPzuIr-1|$lq_~_Y_~FpOm#8@7OZ5!=4meSJFMFe5U2}8uv0C~=j(>fWqWc08_>o;z z!C&qF1Hd`8y?D3!-p#b0gnv9lwg0;`sjxd+6o?h%RjYk-EjhonzFtp%Cu^we;Gd{t z4Ul3|#jaBCx=mz;Y=PZ_(Qr(ZYE|oW!brnR)5A6LsY&9+GjoMTf!-G*O-?gyuw9$A>~_ z(f?&VP~B~xZi0ZK&E)9BL|Tkc1bK_|h(Dthx`5iUfJ3WXN*0U<1{!oNYs-X48w~$c zN^c4{L=c4PyX#fMU^B=~z?ptVxp@(k3Hf(0$~`AMKv@F?dxOO%Pz=TR(Hvx@2oeR+ z_J`r|=Lg9j)Eal=7j&ACAyKBV1O$GUhfq=GRT_Ll>Me2AV5}M}X>vI`tJt zai)##mHmc|RlVDKM+l%^Kn)BXqyd@hS95O)+9%0e27*>}k>T_V)s!m*7gsVv}O!4rc8ct0PyEkOF(?Qwyaid7F( zm+A9(Pj8nNF!Ad0{8;K={3B@U`*V*`378;#P)I;92Ths)I_CxVd2bq|9ceu?BeP;E+osPx0Oz3c0PD#^~2c#9|s|LLn7S-CiU_AMdG!6`dv? zVsHZV4Crm3e-1-w&|iQ4|NA?yLZt)b|5Y96R|OW72&#hu+Vn#2!I$$Yz^DV!15*m- z0`z<6n>s#&N|=P;eSiP?r<3@o@eag?;faNeFjR?z7JbW91r%EWpkgSP4crcX@G-!0 zL7V*)1_U~1U_up8$DuF|8Zlg-aWxHZf#C1U#4}#EJ;IA#q3trrSh1inf{-1CC(u;( zT{j!3A;IQE3Y!UXQS%lM{4LS;{aFI%4sBv_5)LDo;Y<)%gMwJW5g0PyfCL&)kr`c> zse~I+QbUN32chdiys=~N&cwcdRR>(Xts1x~@F#=;6R@5RL{#eXX-#oHf^2#;3o*>3V3L^K7&7;)C5K_q=Q+v?Ey!DzbXU!K9URtU z&ThpxCcr(H@B{M%)FLk}S+yxyAQuRH{(K!$m|pi3F6E(Uc$>~mSernf-ECai@IDrP z0e=N=spRc3{YkYkVfYuM+P%7^4TFE+LbqB)9ub}=zz_PE z&iQ-PikR*o2V>n(VzkMx4EIO z%l;onRN9qg1iK6)EnrEV?4Kr|ft8TBz)eqJEhS6}KeT%joCw`yMqMb&B&0 zSGmEzcTe7HT_wS*C(=#OBaDCWww}wEo%O{{o6B`?2O`ilf~?)pn6-B|;HO_o?Q%-Z%CI({(nItyEKUpfBvkq?UmWwV7vF*;r}c-g zaev~(lRX|e*NHFNZ;T=x>%Nfs{qXcx`-3FmVB#MO>7OvT1W_pj#*v39QB=f0LMU~H@@P}FP>Y3BViF0mp#oxzVI8$PqCrDQ zB1Do}h9o3BEaqW0+1>8O{slc>?w2#?%)RG%fA`!&Es8gZ33_#B_n*t+Tz>G3nr1=a z`=A;O(QU_uGYEGjC)*8^@RtdTZx})~n*N6;QOb4a^KU1zQpMQLj3boi+#c|7)V=FN zuy^%@##M(DdbiX+4vxnCjj;Ky!0LQf;;Ogx7n$gGnQGv#fOnKw{pAv_#KxeC^NC4n?FTOS&6LQ_9Y35Dv2 z@XOfjW~Ek$VMBPxKHV>ncNm0np0{-Pvw&I|NbY_S_4&{1ep3e`2uo2gBoX*= zuY~ZtO?#B02b=JOO*rt~qR8JNoB94WC_@YSwzsrGOJxZ6Rz|f4+N`yWieaY)Qd& z^uDjyk>T>TBKKFL*Q6O~!9Rc!I!m9TShgv{tGozVV7h9oQF{x*AQX%pu*^Q;F+8Up zRqVM?L|2CpUvwScO|sA1>;^HCY=pFfqu`M95;9d0nG=c2|5_zmu(`|lTC{_jMxA+j z-l+4VhpDD%yhu4~X~NAnNa=8@=TXOTjaPOnEY- z`isPw?c$E{NS-A;=G%tKnPTS9p;#lkug27VT(e@9fm^j8d%Jjn0`Ab~hvgiDQK6hW zDZMauX(h8diB43oX%(eH`a&E9l(~xyz(iv(iPf?eFM)TLj##H3eZkPhiu+AvV2{GT zLv0S1W!qx9j?ij$%R%>%!2nzV_UPb(%>zgEO`)_rsh;u=E1}qK?ci@z$)>oS{zR(f zJx?DA!)-C%Un-o_kNR1<*lh!*9_TgD4ml(z;cx68l`*QCPMd-g5LE(%iY5VHC;Gvw zmoA65wXCX~ENtX^ZY9bcMJ-1Ak~#JwNdx?0>L}R3N#UUxgqUIn+F*uRPVFASb>*`NQVUXo$LZJJ~OKX=HS2y=B$Mo$1kj zpY{@nO({Qlcb|w160SE}HUQ{iZN+%|!`q67EmG%kSyUROlZq* zX-^$2QHL+$g$$$A6#TdegrMcieQVNsJj5{Cr#s95iMXk;uI?fa_YVSL?JA!+3AMZa k>#f#(@{Z&CbN`p2Gte|oTInia?LB(F_n!ZbJH9*a7$33+Dm%$4&sxuX=A3I2e-LLtXYVPiDT7Ez zNI;K(KOo`+ND)MO>eR_M@I?lElT(tDlaY~AQ&60yJVSlv3=K664J{qxSz0;C;u4Zl zH*ZNR-c?doQB}LAqpPQHU}$7)VQKZ$+Q!z-)y>_*)63iEMQ})HSoq6`_}6a|5|iG( zOU}&7&dJUDm|sv{QCU@8Q(ITx(%RPE(fPHjdvIuYWOVGu&v6ubc5Z%QacOyFYkOyR z54(>$I6UbW35fJxy7lip`=wtDK)+6rk&%*7ob-$2lqYbJGLVs96g|zTphfZ6ndy>P zASLsixQwzdR6IAdF)UA92B=wi#Zi1)CtdraXMe9_LI0(m{d>p$qhI5oGo&QIs8<{#?piip3)SOn#$Hv8L&3@H^SxZSxL5cYx$^WX$8x{$%MTVx4 zH*fhTHld+w69}rD_sNZnKTMNeI;A+)MN!74H#KX`ZGM@V8Ot;IRwKFfEwDv3<8vJQ zxl=c~Kaqi-h+Q!*EDl^++vgdUpfS7LXVSC!)?xjk*`TKLg&1+}oR^=$#)}Y?gBK4W zOoW~Yni-@g2-k^>XEN8~XwYwSl;ZhKtSp^heV%Ni)cg=hU2-ldlQrEyXVGDK<= zd${=A!NbhZ%-nc#!lt^PrR@{>7sCO40=|-ZV-(@hGY+~XU2H1#drMZWp-g>Xt+FCP!@BW z>Kq>@7wxk&u`&5`IR17WoYN+%s;RGhz^Es0!g#3~z9q4wcxR%coY7uRK*G3vTJZ^;ZQi6iWvGJ`a2zod@^XJV7wCO_fh-pUB=#f^_b!;X3|+SQ4NUD(S7M2C2QeyNBhj5L{QsU z|N9pGpQ#B(nU6Rg&P(zLxX{_x*J8k}_Ga2#k}x`)K9{l$Z+%3cI;Yh;RMf|Kr8{-k za_|02kFQL*3RU5yj_SkA%@K=bo&?rTAX;5cqLuan5UoqU1?%FYAp-4`jkI|kZB3xn zfP{MZx`V`(*$R96y3}r7XVud`x!$u-XU8j3NDTbi+3WN;6Yi79?m3BUaUilIv;OK6 zHG$>9&G@wCaGgPl>G_)Lbz>GD6mZe5{%Hzo-NDW?IWdg>rBGJPxD{<)_r#NT?_QA!{vSaEcEhKP6qGFHFAP+9O6G0sx ziJ;I-oCUB~ND)-c;9CXO?fo(FegeZ)oJ=U}2p^Pg(%#r(qJnM0I>PINWctd)V+Fft(1M4z&l!kuKw;PkZEXW-dk*L9um$ODc%qVbt(7|arH4@~|sw$y}+!J_sBTMo!SdC%~4V&;mw3U$I z1X);EwKU)A^1@-?kx}`elckXdr(WHg+wrrulVqig3Eh~v#VC$>+wH32g8&~}Txny< zGF$+U$aVqt%Rha#3SNS(6@18!*uJw$1V!t!wQ7#L5?G-xD~maXTAxmvG->Kpy&K=H ziL@CN-F-4#uZ>pNqbU*01BX@d;RW*{#)DB22X z8j7hGP=wBBj!x^aH77ygb*u5>aueTRH48o?LzqH>)#FzRC24PCul+jXzeY`UGY?)T z5>;J>`YKX%rv7OO%))m|5?Rqho}F|r$K!oi3{~Ca^@q<~oV)Ps$C>HqslHSuoSRKx zCF{tZa^lf9LjPN{UOS=KjWN$&M;FidMwR^sE{r1+hd&YBB8N8I5u1l2BE6-{H`M== zSe(EtcG8o2Av7=xS(#p;v^ttw+!?Mp%TgX?U$@LnZ}W>4+%$DOHSTggHHvB8qRtiZ z0oS9trJPmx)7DeO`|@kZPp5fR-m`*}8_|~q=D&6;(0%--)vQ16m1pfsv3EcOy*_%^ z@>}@njv#FMgMF|G-nn)@Bh6X4(=FIBeNP{=wom;``3BJgnHLk@ywZ(2t17X^tWCO5 zN{!>k>TK173+>8rqL8f(O~xp0RY#LA*e&sh7s3YqwG^PaF<_@Tla5ix$M4xk4dQ(smnHz)P_L)jRo{Uk7Nc5cPnx<#sZIu&&=^Ag-s4Snyqgt-mm z+&a3|;s0)@2G2M~xbKPDJUR>`BuyHO>}r`w*!il}O}M7L_vV2?+e4VOj5x@dwQh6k z5ka&T7)3%PKaf%I*976XbueZWLIznXKgl00nVm#X%vcN#);TSV5m{?Ex>EYWG3g;< z)Nz+fY*sT~6&p~aGreGF=nK3;v6<7h__~OBRb6e0U6Ny5c1Q|!Q77s1>|K^67IfOp zE&Zg~Xiu!m7HgP0cAZmy>u%Dhfdaei4@=DSr==sq)9l)GloV-7zGgZPg!^5X>g%bm zWWH*NxborDZ`U?`G_tC*Me}FB-jG{=c!1c8*29=A8dH;T8uiG0Odg>v~Yd2O&g z$6bBxm;Bet?rwEQbP3!j@OB_|y6Bt+)Dfktc?-#V8csktK?IeqEFW@0{&UPYa!VeJ zzZs@qGnfs4=GQv4q3Yod$sIp5cvZE`l{6Y6^5d@?o;kIemRVaGo)kcW0f$#2=zjX~ zYo5bJKCGx6wiw*y5_rH^Ttv&EenaBhr;gj+nPvs;T>;F`Rm~cSpuBw}WYycXegL5U zCxuAa2TV@phLcwV*QT5n1HVKZ~n6U^g6a+LRd#3;|H!LRGVYD&i7uTcH3 z!0AT`Su0Pbr22B|~;>Q%o0@iDe7VQ^SFt#XJHlD4Q(sc5w(xAp$OZuGS_ zP4{c9ynUp719tX1-h_Axq#XptvR@fPtkuy(#mS(DC93qgE6_Kx%~~@jb-K4$?TG4 z`r|9v=dWLw*&}-h6!*V<%6|b@KNsJHu-kB7PBg6achwlldFiQ|DCPX^A-C9_*MTN1 z=tFR*8~hAmSgbv3SyKAG3r@!ErG>+*uuJ=(S060LD*pyqz>Id<1*wbXNm3I8`u!E*&Df1QS_w}a~rvaS#OD*WV z8G`5h;FU5v*6!^dO@Go$w}j};VxG4jB)>hQAq_MS`7OSl|6ZT}Ud8-U@lg@tJ}ozGKMU;og|p~ow1`1~2w=L>_5Ke;^rqI&#u zY3u&QPd){;ALD)uZ5>Oed5nR-to-`8Aw^}ZGKK!u`cvUDQ)TS722+-}OD^e#{vCD$ zfwa^{5lp@t=aj=THywx2%eQ8B%Hu<8Sc1Bk#)4XO;e5Gtwd%O;izp5c)~ zSNxxr)Q`PZTOoAKU>qlO%RFPIm}6FBz-@U?Cb)92IN2cL+_*9&C8&(rIsUZs*Al7E z0lYZJSvZs7k|&tjq@~8VByGGT>W~m-#j#TT@u3>;9sam1OU9P_Iz`%nR}OAE=KJ>M z3=!xLAaz*U_#_n~h!j6I?F0YM$0yDe1rL$*@EMuvcs;WuBz~t=H%;AMDduzds5bu- zQC1!|*9Ncv>Gu~JnAlJP6Hxgn#TsHdl4g($%ZxWJ*>NZ}<%~3ly}!<=OdU^8W*tH5 z*qi>}vbO$CLTX!YzUFr|UAtjNo^f&<=hD;0==Ef$U5bM?XnAyO)x|O4oOhZlPtW|v zgiAJG5){i>o~0q2XCR@Y_1V%6(_EM$>8S5&?kw*UC3|kPvTN~1gt+M452qn{Zst0y zh1IQxY$N7Na~o)Lv(fv|MOgox&HsEzqlqBO#g@mpHixlT=nF{2-pfmo8VyHsc?o{o zQEi`^MK3ychwwjJP6oJ$kUtmhPk!%oUh9_n7f;4)EiZ&Zyvn13m-(O7nLdM@=7xT) z@*DfHuW>Mx5dTa~I84w_DD&r3%V_a=?4h6N*RXXhmvh1jhuWl5OPLX%E5BU06l@HR zW=jN}zD{btrJ{m)ntBoEFv{PWY_>a^gV*<)S>vC#D>uTVH5#LG&&!T?3mO`PuzTAF2)Dl2vdye7&K|e(u74Ih3yksK)7C zzY#%pA_o`cFB3sE(Bo?nP5O<#*!m;y6voce0ftpmn3}p zdgC?`#4Jm10qz7pCx{F?yzy$8HA(DVuxv_0)3_5l5Vn`9jVKKVQWc(rhiZhIGG=k5 z<9X6KiJ+wn{0Z`=J0gOT#D8n>1Nn`qO#<9!Xn>b-|Fvd;{U$VP#Jk!BNhM2@iKD@0 z;__gb6Y7-B7($r8r$p~?jn3qQed)I%yn_`osRad6qT?S6t`~rYaqlom?akM5@A7a% z51NLAHvO)AN~f9VbrngQgnxfVV4uWIZrM(=$TEv&Ai>Ge-oRT zEnE(%bb3mB4b77~a^tjl#XyfMJ8?8e;fNJA+>IsO_ z)zX~u=F5J3Td*kk%eDmZp;EUVUnI34e+zcU^jqB5A^9m)bMiZ)yd+OzNw8<3`JWf} zHcu@za~zk5_u6%gYZcm?pBc+;Zmg|OM5|D_<_1UKkD4}Buj_70(NeFYrV*7Z{X60H zaMs=GcoUy21nI*H-Rs-z!FUpycV_9y4@xm%DEi=UFf2X2nU`YQz=mR#F=6L{s_K(Y z-mc>!>e<+&z_|3md)uYI54p|n6I0Kx^G?EX0`8+G5^u7%ccU6HR(Lc4`?_Z=(2e+Q z?PdMNfPQ_9*(9jfwD%tc!EbB zWD6WFE(F$Q8&3;z?8sq$_LY%THo!rB0a&{kv?09Dm7U{sdb}zd2?jNLL=a4VHgSaj z4Z}+xW&H#wM^H)0W-|ru6q<0js?+@XPPy$S%u1|Z=BE@|TrtK2 z9Ko>|{vc%h<4AB2%ae!O3{Fu zP=ivA_wpO7ZZoDx{lj7U2TdkLj?@2BnjSRL!`@1#Gb zqpJV3yjGi=y@iqV+??(+D)xzC_Y#BOnh^UJ<20JxR1j~kCP_Gg$B8x?+vgxiZ=llG zdUE_^wn7UFB@R~(-50`aGjo$%Z6q(mP(G@Sd-txf|CW%Wg7#_I5_PB9mlZLPzeo5hT5saqd+{;%Wh7v@J+Q%7hV;3E4-Cq6?pQ?iilcy{EeTB5nr$bL|m>%@ROowDV5%mxbw<494P z1ih2$8rF{7HEX^ApP>&!9O$Xpy44e^i6FjXNgXGBga!hcXXA| zJ7hD>2jm*49%ec=W7T6!w(493rV5Omc0$FeIii$tY_`IiwG~c1kG#j$dP?z+!?2DxE$(+S zP||7JLX;4nqmwY+)|+gwO%VNKlVe$!Az~(hZieyp(+*8w8);Dkz~;-v6R;^Ff;iC7 zy0UZUA;52v;sI9n#)7s#M92+qv@lIO2&)8#A<8yV@_$a+jz{MlH?m23I*aQlUcwpZ zpNWYg(I-2rz)of`G_q3~xd#icL9#YesGv8gaZtq}l}M*#nP{fA8tFH^B6yy|=Chrb z)16MO3wy$N&z>HNR~gW2Qae(sYc82na>)*gxB{@o|C;>%@u#2Kk&7QKE_xOmJ`RbL zKj)>`?kP3GA(;WJXEeSC;CStSEQBb#50|bBeFucur=QY(!k4TGS^!L7pXo;iH^@j|D!tv5!kk zI$`;S6Lx1+#6784h6Sz_mDR@I0zJBI>8`K8LLGFAd6}@8;1QoRxoI_Ia*Xw-5b>YF z+GEsrk1DVKvk=L^eH){}z&n)(v^GLR{GJ%eFT*REzx!82?7%|JxpChC+8cj)v>Adq zFWIS9DXJnBxM}IG$#T@xL)JYEZdjbMhGSeW!4$t zF4NEE)zE4Ts66XTh5(9-J5yX}T=beU?N08UqOX^q4X!=O>09W}2ZHLC3g)lcqc|BK zzsyTmgm(h`K8YdB>_`Gguh5}ewthg7V2}Nd!B$x~UKyz>rCQa7nwy%bJM#oL44qQW zRfY-kP0l~j_?R;pLjE=tJ}!Wg&)L$JyF@9=HiO_WoDeLs*y7t8P4c&RW-J+j?mL`j z&kl}`I(I1x{OaZD!D1lnDHl5cMdS(`5DGCbnt?sK7mSJVg8@r74A8}a-^*+gOb2bH zo%6;40UNeggD#SXdG{a=_zt;^wjyUH&A~WzOv!A!bn0ScqZz6g-s6KaY=7HT_6TR{Ze>*I8^z)mz_4WO4sFKl12ZpAWcy`i)jyoY(*xv&4Z~P~!Mva~{20KUN&S zs4Zl{-2GXpNw&p>(nB};Q_Mnh7KS3S63m6Wp*rR#>PkNS!rQ6X4m)$LAU3H-0DmT! z<;pYNd~Fgk1D3xTZX;0T24JY6d5*pn@xTU$7oqi9f?1X?_weNDQ41__c@xH;G z`3A}o%i!|26Gx(We$tu{x4t~c_9~ap>&&lFF&PP=)Stfc3>Ml-Ys9?B8Mm#sN^MTf zGrs%D#Ay6(nc^8cknY`wr#=FX-Or~AL=uJNwV*g^`#os5oWn7k&9ygx3y}RiaCJn` zv)E%kJ79eJ)rSIj?7)>G?X4&%qnE|)a>eYc8uqO<9Pi@+*TCX4o6YqW*TzSMZWIy| zzi(@*^m?VV$CWvVFs%P@_F#4pmxg=lnei^S5VR4zs#uckp~5vzc2JPAHw!SYe{TX; z(x0YJZsJmQqT^Pe#1IjHEE)Okjxa=ui5={~IVbG7iXsW!`F21qU_e}K`nZ|V)rWLiDtMUvEqKBO5IU$m*BK~dQ-1iN_q>VAkb zp`hhC;?~TylHp~Q=3@7|BBG2B6d6rTE5(I!Uacg(~qGh(tAeAq?ioZ)@$>JzVr8Mg=j)^=#yURiX+w|^z~ z7<%o1w_!S`aHs*Een1G&-)tT!bp{HKDH#H!5ph7NMg(!E?~EO*93l^`_TkGpCPO)h z*Xs~ibxrkzj3C&$*0%Ah%9LmKkkXXxvXd%9(*$ST8cT{> zMI%G~oKaK|6u1%xmuibPURcy+y8*Z3y>7QDGr?E$#^TAgGDX@`v%-tqIxOT3>%O1s zMM4qw(Kn3Cs^8d+kG+ss7AX}L&Z&)SF>d^Ilyzqk{!P(t%8#*Lny1j;bR<*SU_B&u|0$Z z?-??nB9)WADjuhye&i?4v+y!S=S*=3K7K;6PW?CeotpOt69KR-PeQtR{ZwOo&EB#9 zl$>DF3Ar*1-M-_e0Yn+%P>Vj5zBW)+2zfu`&_5 z8~&;AhFv+?;`ukQoTplQw1AD_#LDoG7xPV52@rWpYCd3;$Obs9i*$k*ZV0@ zoB5S=!d3BF!Ga(BvG+@_<9splurPwysO+6)`7Qaz!^(cS`Lt5Hw_O5^exIx&`edTx zPG1t=@%V6)^t=|mhiEQVeOG;Vs8TytJ@|O}R`C=+ZW<8V27sYZiu20tK3yag+YPmrKC>{mdh%jg}HY z7U_|Yy^F*4Blg{hr|Ad$#)#vX06`*XI85sU9p`N48Y17%6gPy@Jp08rR|Q2SnB3W( z>^K9HKD^1ETekiD4yWa|=%a60PNHc_-lOR=Q#Y`dI8F=t4kTDyUU1BPS$I*NeT#F+ zw(vnUdU~44yB;uo%|!4&8B}fa({S)UmIS9U-9I(UkXQZ{BU zJ9WYmsEcCrY)Vf|R%N)00GV*&cqOo~Lhv53ID2pqc-KfC3@jNf3nHk~?w*|f37_@r z{{tlFZ?As-|8AuZPX{8Afe4xe7&tZkCjDkF1a1hkk5*YH$K>|6$je~*Bb-oXM%gt3 z?vcJ-XF0WkdN|8SUyOYp`@T!k?Pmxq2cub$BT{qtQdkxWf{*V%O$7bm=qG~i@_|_) zbBSI(gwJE?hZmP{nkSsX7X(~&-QvF%JTqZQCRxYK_bPKUGMC&6zjd}yl>CUET29q zPvrCzfE^{Fg_~yA>D$KTcDaRpxeWA%*VcC-VWS?^W1{9iWBJ$1%^F%43zd0OlMQoK zv#3rhR^U_pcn7}h$F#li z8YE0mYH#pb*e%yY1Or6-X$W)>cvH- zHlKUq)vzDzI-AOH$Rl!J^T-lg0?*LnVey6u|2y4}-);zH(?#PVE^152vkEHHRkPtD zAFS#U;6ox>N-X(pCtL{&Kt`_Dp<7YWDl?S^0fHlb7g4<`9Rjw+=C(fX>jRE%SU>BF z@8!%;-TqLq!3mnCyheE#RF}>MY($%}5+byA92=?FRRoC!0*c<@LTccz4g($?z$@6hAL*zBoZS$-`1)bZc4Ovi z7Vowom}l3g79oywBr{yNK4(dt6M zhTbbscgYMxT?Nv{$Gziq*0_uHA~ za?;3#)iM$EkfT4#)cR6AY}@3ZzZG#HjAVms0J}kUv3a4n-k%km!E^t#M*0Og_!N5^ ztSg;}6KzN=VDrtNgfOevpe=5%`qX4#37SHC}y;hEcCnA1=J`J3j#( zkGDv&sB{eSXFun!@PUp3TRybz4*R*^p6EIHecJebbq`-t+Y{AE{{n7y)h}S?iCt^<+__+U#z=6h@`SYR*@ap{sU=J3uEHH2=H%K8wIE zGZS{qfH;v`)qfB{TLpW@S4aWX z=90#Vi_7uK>L3VVir-5uf5bg5*2kJes>DodR^GMLysX&v78E+MuX!5atpV`mNl?`c zg|7nvdoSnr!vMhe{Rg#8eWgUpU4$(?Li3TEJ;{t{*2^S=BdsH&VZXI=vhOW=wwnP; zWg7iwKKz6imn}r|)@O?HQ&*}YAG3HBp4{|yYhK;YI`J9{H% zF%e{~kkM7ZQhwz6HR&qr$Yi(jIhO$AHF2Sb_CA->KZfJuykT6Qqu#GiXOyMkdhf(L zwmU^H-pRSCoShi^WRF=({}C|asep=9fq@a)dVw6R`nZG$QrUVMh89@Y?z}hZcKl%f z-dhtp)=^J2!9%`tsPt{E05Sk#EV>dwAF&m{ za{jj@_WMr*pw0t(`F8dcNrhF}`y09W-}C3jPn1Ed8^gFAgb0Hh?1$gUMIyiFbhf}b z+OG-5$-nd|iV-_^?)+I5XLBn|57r1L@)1Z7sUu@8V3Ntn-t2KT!6C1wU1=)UGX&e( zwof>K2Ql={aJkq0MO_AcxM%Q9jic)KS32oL~V|0i#) z15S{2YLCgn&{K4)Er&62c{as%f_sIT2{TN z?V1q*5(D!5<6fFA`r|a410DH-}M7|?Rj8fwk^Eq#NsKsY$DIO6;ox6=A05i(?73_ zrJhjC?JDRjwUv%sk-pc?NuGFXgRiQ3o9|&a%1G6cPSG#w^!2EP(*9#1xX^<`T$CKu zwlo#K;e9DyP%~@==9GeDbGa7Q;*KT z?HWQUf{@p~BAeV>>dRU_@f~qAxRwb9Fq%Asj(uA|pq}C%6G0!q!J30;beUTZ1c009 z7r2^s)Nm{M*tbsaCJ5{j+qC#gDUGk%N3 z>>SI=8UgVJ}Kft#4TySueB038eK zZ_PYgnjOAA6S1{gXed%VS5p@%6VA(NepOfO)9wX~eR$YsA4H(=+^{^?sz!zk*S5{R zcZ%lwql|f~J!mUSqx}PEbv;~~yF+t`zpcEQ#}Q-!!LsBJQSw5Bz-;5O#t3H*_ z7jgz@4y<(!D6wR8GaEpPypCGODI#Sd0Jhh!sT{-K7UonRntQ_6aQ1?CHQf<&kbkrr zGs#YS*cVtBf)QdP5;2x0jNuRU)A6KU7U1fr%9@x~eLns^#FioaJY8B)gUIh2Eza{K z38NQ}TOhj$0JHNy43+*KP+MvAp5;<+5%Y3%L(;6s^K;~u!E&c0({yR2sia_yNzM!6 zpTC~RkBoe$NPxHU`<(@ZKB+&1J}O@@K|%#D=J|#GkmnCMFbROpvwAC)5C1RTY7RTP zOX!9EK?a!*SH^|}{6Pj)+rR`HW&R+8+QdrAg6OEubMNf}`}5zbDWWpo1c}j;aTMkN zR(`H1eQC$k=5#AozXo5!#4AI*uR|V!x_FP(3YnBIznpalalhvAp4&bdXNB2$fYX`r z7ime>=*#fVv+Z6zGoCYKW_sP0L$O(T{*!57+H;ce=eI=0BLSTF60tr8;Ka;7aNST!k=SDNIddJI!GjXJjf zP~hVc`#7uk^QZEfayBN3ww7tW*xrP)dgagaF{jn$(9eZ`DZfbOp>#wL;PL>3(pnWl zeAP+G^($oNHrdL8j#mDxEEMpq+vQ?iLz_8`*{ddTh9%HAktr8>Pb!?b{ouxqQZD}4 z3$?-A$}K^1SxpcXZEEu3(Ze*B^)GV$)7o&)E{mEoKEP4^=}QBZ^k*i8s~jZG!4#?@ z)hW3)%>s`H^JnI)c`+c~S0oasWbL~@2s4?y=6VB6SpcWG;ai}4k#PFiv@wG zcz4^q^VT|HVtA(SB8#Ewo}=?kTcA+AYfClzugwcS$%fKA6QjSdQ0S+8oQS8{GLpEv z#hZ4uF;dHdx4Lka)<}ruFjQU3bxwFFh*_nEC&wY6f0}o=Q3n%tyMEM3W23^3e{i$p z?c==K$~1K&%SSiQ^wWrTvh%alEpUhFIaZkn^z<~S`}TNm6jK+sF?1JU64@WF&>8T= zrDYZy$N}bK%x0*c7FvX1*+-)(u?~GXaL?q&7o^Ac4Asb;*aS6Fu8*V{zZ_ydfz5xa zY(CKI{Ucjlq79sP)lFx7^6sm)SD)x@){noq)VE82WfmKMEqgwkiDd({6faGaA)d~6 zz7}%ji@D~KTKLt(<8+B|yaI+3)tAL^;N&Nh_f>aKUvgkWXX*1C!;c_=#@aL)L*8Tq zhIWo5Pp4BK*?Gr$p{L|YmjlEx5;f6PsTS>{8t58FpCQEoKcj+W>3}51XB{?=BgV() zSsrxi`^8vVU$`Q3n_@`f3+@HF+$P{s;{XbS%`fP+iL0zImaG3TT}QefpV22**jSLLPXENxDbh)P1(lblSj%X&kDVgJ?9WbMv z!L;}m3-*J!dha!nwHKC=-h$-WuYGH{O=AN?&%ZZNLX}1s_=tpw7t6y=+iObXWIvQq zkw_fu4pd{WU5+!|jFN>=ypYv{Tj!dtoSLdsbS+;Y_(qq*oa^q#v_AkXFPlMw2@EzI zc_D806Yuu&g@pw(k_`xxO`Pwtv>%Ywo=-+cx;~~i19(UQ&G=%e zSDp?a7RI)5AhCN(O-I~i{@6%=8A`V9N{y`U@L3rb??s7jLKkw|9s-cYYxf5byP+H_ zjX;@1g~0Adz)=9_9}GWYTL&D*!0+LZb+FZs8(74R`5jN|V`xvT&r@rGt=EKmBA?Tb z&Tqi?xJOS|<7P2dVFGPyZm<-t~-*ZM-4HC9!h_(idg-+kHm7lUjPMP3pFw;k&&$ruCyAs>{pj z0!vUe%F)^J%ci7fY$z`=uh1*5nx~jYbGitCufBEle`Oao% z7(0C{_nH}x&^`~jm%`_+cF;c+3RK!-0rMf?=KLhFNC@|l2PU>l5Cc07ECR@qI}a%g z{_!b3ri8HBO?t1_ZPOPq*rY;}>D2&kFN+a}Cr>OZY+rv1zqwxL&GKDO#*DkA<8T{0 z-90_My<=Nf8^LG9KYqR8$C+x93)ZgVW{wYCj&>tWNtbz}b6JLNbDyJBF z$KV^3Ll&BiN_mX)Wp^uW${uss{}FP^X&&-(f%q^9(jcwa_?X~jQaEivA$*)1^pRr1|m!=E8v6Eh(%yALuHol;4Rajydno$=8~^Ky>A zFPU@rjO31VI8%4uL6k##*1_p>F^V1OqsHt%ixLpoFZ3Fxbd3(+Z5~vOw%_pCH}|@HgnoV^50r7M1c>i zwY{v-Qem=I?n2ek1+D(hjNY*v0#|8X-S~RmGPdtizA=kn)-n9S=Hhsl=cDZv+)a6} z2HSz%1CR0p&jx=kW?d=3rQ%0E5()K@B1o#Wi`ABP4Cx_h+Tt@`#B{#GzA$EPOY zv~BAA3D=H)GV#nm{t=^O`sW8FH2&sU02~E>@->|3;J-gzfzoNzy6T(or?Pw(3!vqe~-G zhu4}C$Qkix#l~FkNDJOYwIy{7q{n4lpho?Zz-w?7vx#a>!Sr?NR}OAeaek~4dN8Z^ zX2rnqS(jiNo37Bl1=+I~fv+Q0R^Q-U^Kh*igRt4H+~PcYju&=JUG|bG4v+3u3ca;( zmormVcs%-7oIMH&aQ2bu`;-7@um1;U|0`Ya5*LYCZhSOq9Fyu(4-FS&nXPV!he$$% zwwk5xN4=;#A4GZWR)<0p3K=FX6^6gznpssloY8c~ovKt6_DG>b2q71 zu6&$}m6E8E4yZ8rSztQ7B3pACCvrIj9jP8UrB_;Mb{Se}d;Qa6ml)lWpH_WF4;fG2 zdW4ksz)$BWF)K3!RVtY<=$suckof@|*m{~K&$$x$6L_Y`T)a-Ny|YW^)uoM z=+7>Va(KLSbmv&|OiWTX61i|S$yNv4@Ca{FD^4;3e9kZS4?s$2IMD_F?ak8bzx=hStwQ8_DXx zowKHFw|;h_>KNpEVAq;wpGEK2e3DU>b^Ab9@=Ig`OY-HPwH9DaUV;PeNEIT;8Gg)X z3{>w6@>fjdN?SEqd)X&=eUv8hcQ3JBD)3{kIRbwnf=*4u=XHN~u;>>4?(76aRp9z- z9sED_L4e%d0DandS_B8p!42uM?I#(BRH7%=f{iARb=fjMS4jx~W93DM8y&NeQ!8nJ z49hQ9ogtTOY^S8&f8H^;_D&w>c^8@QBwH51F_iG^S;_kUf93Q2{$}gyAx|Q5<9fitvTaXdKY9wtkBr@zRRwjh z1qu-#PhTBDZm6q&t&7=J_E)yMJo-MkHUEdtE35Zfc9B%8KmU}VAJ(}YCxZ5m0Cjc= z#WjPn(0|fYZu0R|LP{hRB*wsmmQeVMfT|sk!cnsdT|OU<{pQyS#5ivvAr&>M&^Zu+ z+IaAeO)|O)%4}tBa8kuLtEXfVzvkcy-$(!?PFA_eVLy(OfEMlU&S(dYLM|tn^*70} zr5kJrd6C|I$AaiJ`zAG`C`l6{)d4)Vka_R~kTv2jG*w`aq4wjzN7BP<}H9 z)0b2)7V8|Yye{(_o}5eau3fbs|K;iGcaw}NJxK9lJXw8M#XdkdgK(^o+BS9_Co~L} zhU_n&6dO!~*2`@t%352|Renw=!&UG_d2gc4D$hz``!C3!%t*U46h!pF*~U~ojQFlU zhfAr%)5@w4uTD2N4!{uet=6g1;Z7!07COEf1}Oa|l@@F$V|dJ>TN+~~P*ikgtuDQY zv$|hz7kc?zxGL2ZYU4*5o>{_2Uw{J31)yR_{oUCT9xY4?n(b+nHN_yvJm(d~N+B2= zTiw_ABwxnMLBaGBlgx(BC1u7Y#Mpu&^8JB^+sq+*K#%89b(SyrE*-dXLgfi-k;=3LS6S55Smyp^Q!x5O>WD^M+>1lcP#GwN@c-${#96zjm@hp zISl!!Z;8({gY!;UugoIc>M1=Z?ln8HDN87S=OyN^hs~1#z&V`y+jaGS8e-5Nh3s`g7d)t`TV zA%KhWe--onwmJVj+xeGbayon=(+N;_-6mE2N@c{O2?S`h2It5+Lk*BQzRN#rZsJ@0 zXX}ww4afF*EwMi`Msn@i!nKG@Gm*cY5b$o;{06DcW*_?j!AkL8KstNCoKOw8dr{>l zqA7m}_-b_-b=$Xy0*@=|2TKJAM&|7ju?U_)MHw5mYuZ`jFF!sB<=q<@{8OKu*MxWp z(0I3ij-!C6OcYQbC&TUo|M~B1*Zx061phsffc0D8A8Jg%9{-O>0$Y8xFKq@kJX1b|6S_&C=Nzyhf90htp3Oe#{ojlz$vUjNs?-`_9kVo8L! zXiq7?0i#_B;7&sJc+N8NZb)oMZPEYYsXd|SJMiA)%`1S)D=Yi6rO0;qKidob_AdV? z&zS-bI;VLt4Uj^T=9(!gsI4v;iAwQvu3+gu|D29T>t!ux*}LN2ym4zM)1%-T(``Ji zL{QOyCGDB%akF*w8~>RdGXP8aQ)2WlC~4sSylub<+@6Gv>REqfDTY<0ld|%FedT%_ zOTAnhRy)g3|A9m7ZBF3DUjI8l8>o!`eWzx-{O@`>f2fTAwMvdw-D>bIW5($;@y11{ z34((YNwuy^BN`ih3!{{t1|Ls16@0?vd%^86PBk-H;ijfRHIR=RIP`2ykfBaK@k$e? zvv1Dh1hHVqW9`In~$8nzH2A|)>)Ez4#YIS$Bbl*{Ev%3>T<{NaLm~u@^ zJT~tP@FnQ)=wnA$udfE5YG9vVYWQZ8BFy^>QExxBcol1# zlW!@%8CTS8cls07#pA|>Zk6?XU!1`flh<kcAnDY z(0KF9+$FUoUQ=>ReMP;>3*Al_U05$f|*8X>D8LQ<8`cNEx7Pn#Qv%x(4S;k1f9fy(;A#q*<2xHTntf(>N_UPnTm@qP36gc~ z>vlB`ssOsC{S0X$ouRAEe9gP-RclDc?S9N2uqC#G4^^_?fcDQ2%_wh+%m#pP`d=qf z|FV(r_lg5PF0wSH8XN|yIB3DMukvv;@sC3oXZxA&)deQn%^v8wRckq)b_@-;RT0Bw zzqs%Mo1f4-HUeXxod^_!R5_`!oD`BD&1I@_#x$V(ZV=iRbgolJyAW4gXsEuw)PLDJ z+JHACoQwhGhM5e2Nq)U%z&Pd8xB$QxK?{lMRd4i!7H&uc_3&as_&dro+pbfk@Sk$x z3%9*GB246qZMxy(ph1)j$&t*Qo#H;gLOT-SB{o_mw4RaEo{>f+=PBCW^yN#H?@V+G z*s7N{$8syZ1IrCejcqpoT_3@SoDmqcxd{W$@OZbN0Yd_tRX9t-qj_#`B6L{S4uOL_ zYUSo*UR}^;EJ$MhdPeNs;>%7^{c}g6OiclwS%gA59vdiMUt3*+c@`ho zO-`Q1o92D+B{FU#~`+ZQFTTyD>pvWK|2;B4ev-VF6t-+Vk)6WV({$#Jo^WdvJ1Op zcu%=&jnc1FSaqxHR&Z5kJCE&%K*F*Cp{CfIOje!Yi{a%O zkn6oRHYfFFp$4<@3>i^K5L$T^|IyGq1~};a4E+*Cz-Q=qPK$gA-`*rPJckN;G^WOB zyQ(N{DJFhHu+BQRnMU@)$BGV}Tbs^5(?{K3CI(Gi$Q&751pirTKlqOXgMJ8B8kK*~ z`0RHF@_)x8?f>CJ)!az%fO&2>j@xojYa2`a%HU}@(Ydj0~O0@R1UJ>N5X5r#{{bFxOz$X6FYv``t$@k>} zIkS#zdbAV%N^6N@Iyl^@zipZii6#owl+Qh-3SG65P&=9)<=)kaToU$k%uBIHKf~QSe2Yj5dMO!ow_Q17ka=XL&d?+@k%#xDKcTA z%q@9{jNb#ijNSc<+_KP%hu&Jhki2zBF=a3pQvWBCal0-1Kq;cSgz+lEGyDAHsu3tP z-@^Lvo%S9;xwu()t*h`aC))fYXEGR2*Gh;Y;s7w)?L-R+D9Y~u8`i&JkoWu6_PTbT^z%x+RU5^r zp?nYOa_+@74cSc~d$M3ZT>EdA(Ys9);wdc5XV*-zM_4 zi9~axZs84n!RYS_b4Ik)kM0c?*2#^1#%+To6lgy~_VhqnC*U!ge$kTx^gN8O0K_kDVjDKKmwIPQ#?q;=|YH(&>!)gnXvB?wBOMJ)_;l9|Si1x1IKXPl^8xPyYX( zAIT@Wmd&Pek*L1kO#*1Hb8gWMpgH`PpH0HY;C;5@Gg}h}1)=@2-@S14cJsITMmyEP zCP4G!RrbFU3|o(F+$itPCvy{dGoI*@qS{P{9Jz$*PFBh{<8y=Ibp_F}Q>+4BDm1oX zxhsZ_ma3r{E($n{W}XK1!AJMv1`N+&|3<#020lrHL(oB3=5-t)@8K{-jKrruT-qR% zkF&9uBE|OI_?Rp{2TZ2OKVtzH&_%yHCyyf~?nj+uH`o;LD4LQ`1j=StFJp5Qg{4RC zWWgxE;zQ{-!p|bk<_;!J4S&7M)Z3ICBKxdjI7JF}4b#L+!nLaL54)+j`8Ol&I;L3^F|P> z_roh?;65?ITv^PDc7aMg$zCjT8lj;Z3F*u;J;uV*^^boVCF(Et19Ki!=mR+do7EHv z{$RjSM{JzdOUf zvnwvj;SWLO7vU4K7|`w-9DK)&Zw4L|NKLZ$^za1MdK!{ji?^b-Ko*o)8&&0NcqPPx z<;D}{Tk_-oRet(g%H2+?;g#9&j`jBzjS7+ZSX>oY_z2$Y0n<$3A1$jnJc=#;h@G6&tG*|B$SczuV)7{Qo1qf@cYy5rqjK*( zZ;1vF{{B%(@%SI;E$;m9p}Zwv5M>I#?Q%4B650R)CU%r?0sPgU!j@tv$UghsQNXaG zDf%3Y7V5!J8n4G3>XJPF@)f6c6#qNw(}uL4{z1I^cWBTf>$5?}cVQAlv+$e&IfDq> z3#0NAnR!vVU&as)b@53o-zx+|BB*uvnQjJ%q4Nq_5$_^%9Lgbep~asdHK_eDrO@of zs2+2B(}eN5&AZovlEu+CX+QDr$_M_3Yl~h6yWNsr8X z=0VJ;NPNq@4aOkC2(z(~$IwL?uff$Ec3j!I2)LF>XUX0Hrj|(slbvU`_#hx`6UP{` z|KduZo%;Ti@V4?N@8VWT(s-Gc`-e#EpPG}WzHWu{(UETx1=fvMYcN);ql`_RmKayw zAUoWm($@o ziz8kTA4|FCmA>r4J4HObBuhYF3l@EKtZAWTM9o%LF4gIVE_#X6S|+(2c&>Y1HnA}_ zjMB!qZWZY)yc-ox8y%h2jd<`$FgQ})!Ryt5H$5p)c+D z0L{-*J@$@t#qjE_3y#=;Wvsl!DIY}jbyyMjn$A_7cyF0E6S4PQiuoOA-)jiR&D-$V z5{1zp$EP@}_2@q8-Q&BFbPuDoq^Wp;#{OoY(Vae}1;ev{L5o?#=Hj@1QWyg`<(>0f zjyiJKlAq@a!xfh9v>Pwdx}EEkc-v_`!^3E05~f*otk+`Q&6jq?3Myg$HK1=b(o3@x zclT*Z$7TCpLQV$-G^z!lSr5Xj;Na2dS`F4#8yJ+J7Z={}G-q-x!mXI3t{-PQI-4?W z&z2G!y(YPxVGY#;U414U6r|Iw<$WTdndlF<0jV-AeRdl4aI!R6ENDFGNOgB-Xy@6> z?Z8;c-Z*uiMIgss0;3ALlS~w5qO(? zCqecgaXtOib3a!-@tfpx@~gu}oXddQhR`gKmyq7VG~5*m=HQp|q34zG;bpy3y$vpE zjmh~XVbdgCLURk^xo_1 z8S|$}@9&l*{l3^dCFOP0fr7xAdX_(NY89U}3M{TiWcSv-mwtSB7uO=)^Td7Z*6H@GMCr7Zaue~fC$Xw6ieyIt%ajWxI zS^Ar`C;zw{^?S*xRzi2~;H?~(14q&|B$kJ{z|3BCeQ`8XD!qt*0NyK72PT2j79PX>1@Hq1fTvAmvJIiOzW!OdxHAwaX9rpG&k&2HDyC$ku z=3fR}C}YKVE68Zm^OuJQ9^yJn+G|%Jwc*@p6OWnlztAL_0q62X1wy200qk3MKkXT? zkrIJHj2VKtQ&RFJq|#Z)IYEA3&b!Z8V`V?w*hN5PjjKkHI2(0?`gfF;RiUiu)lrRv z8+lLY>tqr*wfWyMos)CrW^?@O$^Pd_|96j{SJMkp!V0HWm69j90<$5PCatHY9#m+Y zcVdvOub_TRr6V{)tqV0j7-aiY#@&qPY2qT^9|cvyZV;JUvV=!qH5uzlYAC3;T6@RR z1a}HnM#lYZyiKp+yU4s^=XBRNiD=8v9A`U;lW$0*Zd!`0yR@nM-JQk;^e=+WkLGP>ldfbXNeX5zU+&JhLuB_gokE^ccYG>2Kw2;-1WCj&GV@v z6H4>n$(-xj{mXkRW&Q%}WKt_CWEJop}XWvgv-3Odt(R0Qhe9_p9{&Coco#lYM?-QuZ@pgAK@*q}4gFQq| zkd%GDkth^fK2vWlvDI+bcRo$dM#^B=2#d9^0Wcwy#7@0FgT#W224&{IE+r3wEG}er!@=0w=AcdI` z6hrrH0xC?OxogZ8jCixmFC3bXx(fX`%E-{XE1<5bSf= zS_fioV~t}!*qQT4pgG#klNZjvQgLwZ1!%RVKi8S|o6}HE(Dq1YX zD<##%F6?aqlak@5osGdgpL`Ts4~ACRbPA_c`%+KGcsK^jSan%2k&@oryYh+u$zxz@ z5OkK0T2v|&m`OwOvlHn?N5qFA8?T8mI?ah$-EuY4 z)eSkm2^ThTf4S@u-mL#1M7$lbs)_DdSO`I(uFbIKjGVb&YV9G1J`!dy7^Q}OF;i`IFZiuPN zdn%g9@G|pHhf=MHdr@$Z0@TxM`iN3}{=b$3ikxLovk6pG?&K1x^elRwTYoUO6{bQo5cKD16XyH1F7pD1mT+ zqc)!16sr4vwb^LxYfeC{vDXiY06?rl+i*rWN;sBsjxZ0AQEiBOg4L^in|}K7+h~7< zM6PS1S714p&r^xnkoi7#KUIzTneIGc;JtqcO&^lIl6vitR8~(kr%JoowC^O1gMhpt zEJkgVTr5n10chs8M(xywt>vR(FMuW(oAjY=M!ecFA|1@}Fdekj_5Ml~_S&MFPDNT` z-!#@cQf%|uEq3NiH;g8I4?xQd>a^E{La#;=^7FB76}h|fG0ExV5+Tt5w1?{ z@p-L@OqM)7POJ7jR6fjGC-g3d(=mN#Gw&6knO{li{0Q;Np3swpP&ASt`?8WS3>*7_ z{ei;9*Qvx0OWAHSQ>Xgd*#m`w)G<$pJd+I09;I3kuBl%7_oj-!Fs{FO8zMr(nv~Of zPQ4Pp@GF&Sf&Y|^=g_>G#RKPZGV{=Wb?N%Xzz%)_WJpjeI9B#yF$j~EKn17j#VR|y z1PMwuJOr))=8^Ep!XC7<(Qm|#V*nT?iX|`izKlk)X){Tq= zc8U=3yQDr96?wnTC_XV>O7)EIx*sUYRYj2q(k8qEYt0#iOmhr3NPNt&Mt(m~WR$bj z?psPS$Bjc5VErL`<+Y-*iDi(wUE`iYC$_q1(*qXEhx>`*xwrG4CERbgf7$4R-TL=CE- zp_GORY(4h|(yHb#LGG{ios&vEfoF6$?>=ilwFBrdlngC(N^s(pBRY@;{Hi*I3udK# zPp3mi2R;@)4=KAE(<1qEHeJpwLu{vMLqJTQV!AteV3VEI_Wenn)YWL~K|No@n4$BwUlelTS& z7^JNe*nj;nM>0XC_MRfu$7RPhTL9Jx)|#y;Cn`4!v`k+_60DmPF>}Z&qEI*BeU<;< z=(0yz*<1{)SO8*p(RJ2H$3pFSK&jfysLIoiBtNYF1GGZIL6&uR5lzs#rYEzDVy?g!}7?H_xRt^_S^^(OOrYzsMCG zcx2_+v}r)OM={%$UmEG&D*t|fTHZO#{*c8s2)iU4UX0M1Rn=|5igZ{hqUxeFDE)&_ z7gyvsH~`7c^5BbQ?~U{HU3Tx2Jq2aPK05&;IoCl^!Q?&iE^e6GY&9*a! z)Pjj`&b+V%jNg>t!Dj8=w%3NB4dMe@uj>}Z28H57h?RG5Lo>Kv%~l0{wL@6*2`1HB z0XmKH&IvS`ZhzEr$r*qhqVbdkvdZpZ`OK4n)cL86Z=tfY%H4YoBww+nT?^PE1-m_5 z-re-lQe67SJ?K|`<}}K*rE39@O2pZ6M?DCAg=QnG1oBR*Q2!#9d2b5!Wu@)X<0Tsy8}{b@JxJvi;4jO3^Or?+L*0hYpjsKQ(NMBXuY6CVcI3 zm}3n57hCd103v_~W3Vt3=&*bM=vmHgoYYDLvTM0$2F<8Cn-dr4zWmZ=Hkwl6S}VY5 z6%|!UwcxV9yn8lMG!Ygb^b@r;2(l7vx*s0ePCyUmf_&mJu=NH|cz= z%*JzX;ho>yK71)3`227_@msFi`iMS$ zDf{PbH78eIZ?YiTcm~YkoW*|3SoU_VgqcPi;sGeb*{9XZVS1T(^-9ORchM!!A87b` zbqgFiZQt+8)imX=%L28Is&Qn`z~6AUO^XmzSbn0^gfIvdd7`mSZOwpWo}L-CfNYbC zWNwJbHPf8}?FG+^UrYsd{WZqqwpbtvb%pV8=g*K-Z6Q=cW!j6-=c=4MI_FiJOR81M zZZ52%zvG}MPLB(EMI<-SjVR}>F~U%1%!(~n+lQjzxZI6fTt8|aV!1Fx!f|_JspF_th#l;>MSF=zG&fo!1#4wlYC1mOthLn zRD(c;L$9s)PLs;O^gheYO;<^N*wA-P*M|bRd|Yi5@1ZJ>UuATsYt(;zQ)RX2Y9v$C zW%!(fKMONg6GnJ&{0&53&CF;{a^0Do&LFa}9=pVs)@f9BFZ<3->v*u>kT~`W*&;qz zHGBSm3=4L(n*%P@f|yPDMkR)WT3z|-giZP6BA*|{7mQxngwbxp;v{zy+SNrT*|-hC`W1{Nf;h{3+~{4uN4A5??p`O+95;c7S~QTyzj9h>)Qar(^;8R>LPaae76 zA{Z`-CozC!ineTgivW!@1kg*{`1xihgR8U2H~LACek=`zZFzq=<0K*6sRW6vo!2kgFN9qu*Ci+`*?K8=#_=7?2JydKr{qVIH;ov4e-=2iE^ z$no6lT7%R^Gy_E{!)!w9%c}q0p9_x1Ak8#=Z!ZBQ|{+`cbI4s^=tlbRc#h1sbiTU)j zWnCqv)X(;0(zLVHX(r}oT5O0}Wr|k;8+|6Y+D+=4wZNNn;5mUbEDTbqs9r4?l9Sf1?8%NUG?;Fzn>w04ra%!` z{jNg?VP6mUk$j`uuk z=DeO=J1-9jC!-P`KH-03>$f^@-SnfJavo=~cQuVhi5XZQE)Gr_nlH z=d)03Wj>3FN$t>^l{imoH16T$S8@Sisl8lq`!P)~6kuPcFtN$`znH!Qa}ByMIf z%;nICWb0nEM%L~;jEKGs%WQuO1d_uVuW;Saov@ib&ozGwt_W`dr^=v6rdXl* zY^vRC4j;45K%s%XUM;OC9X5rrm!trgd%#?PX5S0n%Y8%BxOSPlq93U(GQID&OQ)3c z{7*8PCKSP-HJgqshgtqY2n*Q-(~tK{WlNMr6ty~BPI$t&ULpE!oa*_`8_~9D2Etzd zeptrG6(Bx!w9)YQZR(TV&j_#aHP%T!oKpEzQ_&5UxT!f9!&*BpfrIsm*jT`GL9SM%VvVSa`y3KbBF{IL902L{NB*f*(&P{{s+ z=hOw<^U4EPXtHZnGzjI*wl}MXq19WoKb59x3RJw!23D1xv(tIXIkMaqV#-(keBIbPvDt@H~E9l2k}4-02S6k#jkVgpl-_EiF_{|_hQKIzJ_{S(zUm5&WHxC=iP92 z1(TDT@j#cxx$Jn$+h`~#a%hDj3Q#Mq28(05u(3~)2)7yd6`#QdvpIQNZin3TL!T;SD#Etqa8p5(2OVVKy;G6k;J zDoIT{b0kX#3KSP|tNQq!Cs$v_@aDk*kQxdF?@Q%E%I#J0xWyW0?H{kKBkni(OWu6G z!wU9Ye#!VD8Y2z^?mnqwsdc}zsgRQ-j6(K;g=V&$%yO^vQ@9t{!xa}Zak~#eo`5^SbO5bsH6tO=&IR6&#s&rv z^}F${bx5Z8(mBX?j`?_n9K$v?@vj0jYQ?`&ojxIIX3X_Z7&IR!8H7G1Bxly!SODW3 zu(mzEPJ*#Z8u1&8$y4cU0qY;@&(J!)pr_l<<{~Q-irNqg63Xq{*X_`uJeda^(bWuvqN%PnOAlTH|Tx-2Vt{22P}Mz(S_51h9}v z7%Kt__PUj0a=1oiBV>>vW^>NpKSTFZig{toTT?B~(=zY1`J*p5i+X z7&3tjom5%-wqF;FXP_|jl=uLHvq^7Dgo?uDAuuhUN)?Ekw|pa#acOR#ThOr0mikJ9 z-I*vg=k8`0FpWe7%cvo@)%vC|vVc9ctW#D#UmQ*6_J`$yCu5YzL*vihQ_y>$#Bl887vFLs)QJeR0XW!zBQj+kYAlzmzRr8kND@8w^?q1e3q2UgPKk? z5p2*wo51J4CyvevoyPQ5GSPMPqQV?5*0;fBiBoUKyQs1066DRd`I#HE~idc~b{ zT+LQYU5Dg9YeS->!8io}WEZQ<3uV~|^<#cSB zc(awSi=oM90KVI5>qq{U_oC2>w_;I|%tj5)Y6owmL)JLHJ@FHjp7Oa)uc&qFtZl0U zq_Kc?)}s+ zKUJ7gvHUnf#9M}0+`Kz<>iyW@P9j(X4Q!U(`TYgxV5A~Okh zFP|B0-hU1~lR=Yco(^vD*$5QIkv^|NRS|Ll(nvVdiWirAjg7*z!Sz1Qh7J~4j%y6n z0_P&lXaz?b#)^9fYw%ep-K|Hqsg`F9{L{*6P$>}r{P7^LW^x`52^p5>y9nbM*zoKH z->(>jnUDHK3<4~A%F;MwEJ03KJI(skBVQvvs}I$L zoz+;AJ@sB~uAUuwO2J%g6_mQFV{`soi??Y8|EUEk+6lkVu)@_b1$K690AiyfTM_HB z_%-CYKg3JMH$Fioreezb{1sWI;1PKOI4sHP%)sk!66N_L{Oup$bq%i;H`x~t?cEd} zcB$DdDH!~4X7xn*Q>0HWf%kVdJ0&f|wyy>&=Z_=pJ4Y@zDfI!lHDPe@=mO%EeI=gNRKd}$HS3?aqY&|wJe4- zqZWQlr(CE`e3x})w*dPSpBI835{*`~=m?v&v+=WyT6Zy0WTlGE3qz8n^9cij_79yG zDwA50jqwd5SK^`Jc7bWN<;Xhx3;6Qs7IDkTPgelr711W z!BtY?b^1Baa~0nzR{rA3t3zC@n5ahW*D=R7m=MCuFmmV%WDTg6dK1aRcTTZk1nJ1d z$Tc^JFnfIgC-|y|+Nyj{Mn^F0yP=>^gjz*DV5z}~v{5v~%nrJ_io3loM#@6r2>ev1 z^Hb4~6zs^0%#eJSoV(^K6~TAOVzEJBlGF_Pa)Vxp<0Ge2sx0%ZpA&Vj8mu4w&@_Lr z**vwNv2(#3Iure2XbLrAMJRStU1Sf~^_sZ)bJ)xQ-iSF75Q1ioYEV991yV>_1hZ68c6bSMF7|OV0y5(M3(o1GIWk(FXZuBUic&1jUrpu^`EeojxuFf}HTpb| zl7N8O$AhCBNO+A+Z+>UqPT3s#r1C)W!D;Ru56>JJ#q1e{R!`r%1@MhhvzN``PAgkpp&~ z>Vq&Bc>|_NN3$>0OR4ToqsHnU0uSs%679t5S$;f7pc72|keD7hmVEoV;|2vz0Of~h z4t}uFGub19fGtHYTWAf>T&*Y70j6FYlwA5s1bB-^=QgQZ9{@uR>|utUe|~aRDEld$ z#1Ef+!yhwC+}Y!s2y18KRTxu~TEkk$NM?T`3%>3_^&1`^I zYDaR@Ayg1KgG`9bAugM*p|WP75E`8)8yu$bH%pd~Ui-(SC!BP~q1O=RWbOf&vU`AH zsF4Aq&S#%+pHvfP&LuF)hSenT<<6Tm)yvb7u-zKzB?x1iKy2Pj++KmT9$UJxCyaw}$~-d_NF)zSX3%qlI; zPM8^AvCq)hJTPyBpxZv`ADdRV%3$v*yN&3b4)OPX9X4DFe|9C7iMT4Zn(5!7WDrp< zr`z}dv!Tc(v9%u)bQqhZ*O@G+OvpcbDE$6urJBn;|HZzaAQ~X^_QbI33|y<=a;@+z z$BG+2IPEpZ^T||F%=pl06vpx< zu$srr!_K?F+TnKUo^-ws*gPEa=rdH;UpK?NjBU#2oB6bk$>V_G?cpa>Vq?ysB$FAd z{&N#+>9N&94b#Fzw)~^APouFz>fA}%xuL@Lrq3fea-*e9#2?p;Od-AH_K~PDb+L`QV%c3YxsF@{^Ie3=H8k6Kb%}n&wkvp{l z;es60i3eLftn8MRj)(PRqUcQ?m%7~QWzelBga#Fp)^v&N;m~RiVj)y^J$`kk@B>s* zeyd84!J_1x;AE9H4j`}Fo_;fVw0E-Hl6`trO%6p2!3QB3ve|GU7uGP4m#SnRqdb>I zSaXQrdBuAgU^QC8yoG!kfs*2a{gvwY5rWdrm*S=}sEB>A(V4OIRwV5J#W>L~XLK@| zBZApp3WEDZq03Mss7E^;kG24l#@;|CopL>vK|Xev264YMOLPF30N1PDR_7Y$L1gJy zr(lV+vCl)~nMrBYnIi>R5lqKsHQGaWn;xB?hrACJwJ9&Fhdaz{v5~f00p((~6!!|~ z(&lS1Mxnil1>{AAFITyqR^S)9xTa0*C1bA9nrfQFoH{YWpQiA1mpduV`!KXJB32(F z{EK;bCnu*^JN3zQLGqmco`MK^QM%Oa+xH&)-g!> z?ndi)$)`#D9Qm$rDh;^s(v$XPgPXAY^68)MLn!11Z>!d^!MHedy=g?*#$ewk1*Gue zcu0-*M<yp!25ZRMJ?c_6?AAjotYBWk$uUnTpo~pa;WI@zXR5& zRKANF;-)vOTaW7{oQAMNQ`wN~8FtJq@6T_J3&jRl&6wuE^U2SMl(+LF3EZ4XvyCRk z{0(SgPlBCao#*4LhY+X$^3{D{3=Seu&3VuzkOflHbe(82^{sjs2AaEp@MMTNd(`_P zRP`QD-iEgMdxmp}Zkq;`tIgf=^>cBj9C>B71xI$HxR2}2iz0`%mxgW>A}?t^OKR&w ze5qt9x^i>o-L2x7*~rC z2`gh+o=I-|875OTbTVia^&c<+d(Hj%L{kK3O*MGYD;u$~js7&NdZVT~%57^=&(8vs znXTUIsgr&8Bp-Ha-|7vKJ+zv^=7EraGa?VC<0f`~Pu*RHrvK<@-*VwKVDl;tVv%R& zu$@9Ic30?0Jw$0gbbjg#jBZhmJxDMyebEwA(Uucv)IauU-)N6)1uw@Jc3g-PMJ13~ zzy#2R+{hbj|7m*k7vrOCP_So!M>CuQS%PL+ts9FFSJ5b6Rr1Q1i(@1;;8)CCZGRSo zEG6Eca~vhMT<(5Rrv44qX*hKDXs*^qaaQY{oEwL&Pn7||J8T_h;=^IRmV&juh}Y-l zM)h4#cA&YfGV}O>B-jHC-ve5c>x!jU;AQBsLuGm5*7}Y!s1-y*`Jpsb6rpmDNJ^G0 z1^lghEq&K*Ctl-9lFZk8e5E|?P77xzt*cmoG7Jf46$Xro=5cB{ZcBFvgL!!P zb-~Q$YvmbEyhe}{uBP5Y#sQi6&mLXWM0twR7sn`W@HtqJ_*&BgYNFhnXHO)tc=c!4 z$A%M{5lW2e=avgl^J+Ny~P)%yHEY!(FxE{r&S5x!pT{uC=61QryLR*FOu(KLBxgGP_2x=-{* zSggF%@ON(rh0ECA+4%ZKU#FW!zF?^M#%tHLZZBJdvgv41{{vKZe*idr!p}8kN=h$G z9V39O@sD^GtT0+%o3dn_U?8LYW21Xh|19ktvAM1-`Ap*(^!nPIs-zeI4Inf%x=UE_4mlSJ;qHN5x<1ACH234e14Lcq&B>3zIWhQ+xijw93K3Azb zt+(qAf1T*Oe01hy6c`>xs)i>6qppGhm`6CYwY`alDD)+0E-SUT%BOI#TjF!o@;Wxy zW%4A;Jn7s3til(1f#!R=KVL)xh&d9;-77q|di0&4fKCu=KbewB{fdrG?zzhIw=rGn zRQl&sMzx~V*ht_`Jr9MFJPX}V)|L#k!<3$j^=#8l-=DHnrkt~3{la|uEXR{`t1D=~ z8)~B`pn^)=Q>gG50JMOY(E$e8pcnWsHC_}+c^*yET2%U*xoL2s?NEExKFlg3;u7SA zP(<@_TY`aLVy`!-3LH_*#{r`u@K%&OJg`jeOQgyttyVPW$DyWcYqr-0%pMPKNxVM3ffQ5DW^}sAp1tlqF^ywZ!!Gy4iahlf z>3jG&{zHyF&A$CugB4*JC_Js>g*sy-<)xTNH9%=-`Ce^Bb!1=5^>sRsMP;kr{-DHo-O3Iak!&M>P$p%{%A7R`4<5Y~Qll6KTC`b9${y{f6fr zH9Q%!0WoYX1Mau+Mpa4m%D6ErKMCa65^Qk>9iyiBl~hgW-hk=MZCxTswU3RZBswWA zhrK=#(W>K{*s*Cla#04X%8W0VILArzC|(rEEH$7ZTaw~tvqRyufdZtkjw+uYJ{|Wf zhZ|H+G91p-(MgD;--bSXB%W)pu!e@kM)MjK^L1Uq$w^H(%$A4l=`kBs3`+4H+k)#r+b@UyT15PIwU$IP85d3^#}H5S7rqf%$lb!P==6Jc=n&85;Xn1 zMc$rI-Bf}Owy{<}rXMqkC}-V@&+ypnTk7#E%-uj``=1&-~)nniuz3lil z*f~-%F}w4U4{f`*A9G~+YpF{bJktoKJb=q0`$@!<5;<9{&Z52^yN`FspK`zY`i0P= zinwCA`rF7xgzAi~XM**|7bGnnqm`Lj>_H$-&9G%$0ODF2A7QOcH^ zOIB(6Iv}|OS!K`PR-n83ejNiCxH3Gme(UIYVj~W{*H{M!gQBWc>6homTC#z8x=O)y zW|1mx^BzDc+^PA7cl9qTM^O{ko0o1~*M5t9N?jjl9w)iKt1vW9`WGIOyoL+k9@g?(Efo-t%wn^A2mDW2eoU7IX@&= zqbsWW%YxylZ1KrS%{1}z_H@*#@`w@`_kgRs0o$6NlFlsfxyj|eC9mq#;+vOlQX|q0 z5|5-2t&*ILen;c_sOE#E4$c8l@0b7~TeuekH`P zR~1-?sXSM^rUnO_h+G{FzUC@gAA3{gPWM7=brhixZ$PRbD$bn-U6y0;Aku2%pR$F( zD_4j5)$5|evwkE~k9zK~_)6F2Yemnp$n&nuOP%?NzaYmxSiJ^9tsqnzd(@X2d=oem z95Y_s1c}Gz+1OhtYvJb2_O>hsywBV~0n*bvR`Quw_sdcHX$GuX9wdqI8 zt?8qAvqWDt-AN7SSHza}&Mn0xf%B7#K`b8Wd!h@0tUl*p3Ix5Z=mRj8y+fzmZ7Xu) zSZ`swVT@(|3qQY*^u~43SC;@ay@^Ai&4DC@F|As% zq3qcT@|{e#Al{Ih-}NpPn;P$(-d!rx`HGARdX(ToDw=bPt?u=o>5o;BDDlZ?7n`fM zF=)lK7m$uyYf=tI1=kdahimfTu|xY4nUBj8bd0XZWy=KbMs0;p3z59b$&U!3jYKJ< zuPBVmYq3Vzw*Ry3b#lOFd~lPmQ{~%R_q3xmlq2tK-SKIE(bK4yT_;v=`L%TZoBI#A zWA%eJPWQQD>T)Gz^Q33bBd+Uz5uvQ>&qXn{B*dc;K%yKFZT=-f&0I43cgdAf z;ar1Rwl*D6N*m{Bv&<~FQ1uA1^6#22xlgf%`})@RtkJKl+K))Tew{0ps~xg;%ZBcN zO_P2HWNQXDQ<_h*BRpD(WCmvq|^_j$0ugKoD z^y%YQV%v7LlE`)5)}Sj{#rwFg}bYuWw(&Z}WeemGy?g-}LO)-^dr*Z$DS z(O2}gYOmhvdL-++xzR~8&0w$$i0!>A#tO2d3Y1xsY@DmWPz>LaxnDYs@`3 z^QWx${q0$?Kj?%1!MVWoFK+YS%-VYT*2}Q%iA}RJ_1-0Ijcl|@<@tTA;#Aj#5Bm?i z=d7@k4awZ_>VEcB7SHlkaoN|uSM^LhQY_>2Df3=wuV<2SIG6c;dF%A(N9hf3_No71 zkN&XtPcMtq)ZH%I1sme-IkxqsviF{N7?a+!VySgxX5GK4x8E~-^p;lN{_<~M{ld@F zJ8bO55ADC@_5O&QoOgGv_Q83qmxA8=Y)>yNUb^+!B0Zxee?GZyROcyrlazY?z0_Xk zZ~i;GK0kDQdPGR)g7>3-K~I^9b5?6!)8|n5&Jvyv92n!U-Fie$_4-?#<9&HsX6G7* z?z#MY>f5IgQSMBp1q<|kE=~N@_Va@$LnuE7aNug6%<2Q2SeXLs8|=vK!!pAQE=yQohyjfgzp6uRBmvNz<(dQixFB=ZBDagGZ?}YNOE*b6FUS$7?zz@#BoTB^ wq)R2@u`AcA#S9Dv49l-=$~?JawK9jM#!~e%V7JdR5qUT1C>!sNTlW7q0j3Q1N&o-= literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/image_preprocessing.ipynb b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/image_preprocessing.ipynb new file mode 100644 index 0000000..eaffb91 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/image_preprocessing.ipynb @@ -0,0 +1,483 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# How to preprocess an image dataset for machine learning\n", + "\n", + "**What is preprocessing?** \n", + "Preprocessing describes the process of cleaning and converting a 'raw' (i.e. unprocessed) dataset into a clean dataset.\n", + "\n", + "![alt text](figures/preprocessing.png)\n", + "\n", + "When given a dataset, the preprocessing can have various steps depending on \n", + "a) what type of data you're looking at (text, images, time series, ...) \n", + "b) what models you want to train\n", + "\n", + "In this notebook we will look at an **image dataset**.\n", + "\n", + "**Possible preprocessing steps**\n", + "\n", + "As mentioned already, the preprocessing steps you will need for your dataset depend on the nature of the dataset and models you want to train. Possible preprocessing steps for images are:\n", + "\n", + "- Rescale the images\n", + "- Normalizing the pixel values\n", + "- Convert images to grayscale\n", + "- Perform data augmentation\n", + "- etc.\n", + "\n", + "## The Oxford-IIIT Pet Dataset\n", + "\n", + "The Oxford-IIIT Pet Dataset consist of 7349 images of different dog and cat breeds. The dataset and further information about its statistics are available [here](http://www.robots.ox.ac.uk/~vgg/data/pets/).\n", + "\n", + "## Step 1: Download the dataset\n", + "\n", + "You can dowload the dataset on [this website](http://www.robots.ox.ac.uk/~vgg/data/pets/) or simply run the following commands from the command line:\n", + "\n", + "```bash\n", + "wget http://www.robots.ox.ac.uk/~vgg/data/pets/data/images.tar.gz\n", + "```\n", + "\n", + "Next, go to the your 'Downloads' folder (or wherever the file was saved) and run\n", + "\n", + "```bash\n", + "tar -xzf images.tar.gz -C name_of_destination_folder\n", + "```\n", + "\n", + "For example, to unpack the folder in the current directory run\n", + "\n", + "```bash\n", + "tar -xzf images.tar.gz -C .\n", + "```\n", + "\n", + "## Step 2: Inspect the dataset\n", + "\n", + "Let's take a look at some of the images to make sure that they have been downloaded correctly.\n", + "\n", + "Several libraries exist that make it easier to preprocess images. For example, you can use [scikit-image](http://scikit-image.org/), [OpenCV](https://opencv.org/) or [Pillow](http://python-pillow.org/). Each library has different functionalities, pros and cons. In this notebook we will stick to scikit-image.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T02:20:48.589362Z", + "start_time": "2018-06-17T02:20:48.563901Z" + } + }, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'skimage'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mskimage\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mio\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 11\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mskimage\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mimg_as_float\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mskimage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mresize\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrotate\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'skimage'" + ] + } + ], + "source": [ + "import glob\n", + "import os\n", + "import random\n", + "import matplotlib\n", + "import warnings\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from skimage import io\n", + "from skimage import img_as_float\n", + "from skimage.transform import resize, rotate\n", + "from skimage.color import rgb2gray\n", + "\n", + "%matplotlib inline\n", + "warnings.simplefilter('ignore')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T02:20:51.380726Z", + "start_time": "2018-06-17T02:20:50.431634Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Create a list of all images\n", + "root_path = os.path.expanduser('~/ml_basics/images/')\n", + "all_images = glob.glob(root_path + '/*.jpg')\n", + "# To avoid memory errors we will only use a subset of the images\n", + "all_images = random.sample(all_images, 500)\n", + "\n", + "# Plot a few images\n", + "i = 0\n", + "fig = plt.figure(figsize=(10, 10))\n", + "for img_path in all_images[:4]:\n", + " img_arr = io.imread(img_path)\n", + " i += 1\n", + " ax = fig.add_subplot(2, 2, i)\n", + " ax.imshow(img_arr)\n", + " ax.set_title(f\"Image example {i}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Important: Creating a test set\n", + "\n", + "If you want to train a machine learning model on your data it's important that you create a separate test set BEFORE you do any further preprocessing. The test set is put aside and not looked at, it's sole purpose is to allow for an evaluation of the trained classifier.\n", + "\n", + "We will skip this step since we are not training a classifier. However, you should not forget about creating a test set when you preprocess your own dataset!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 3: Rescale the images\n", + "\n", + "The images displayed above show us that the dataset has images with various scales. So, as a first preprocessing step, we will make sure that all images have the same height and width. When choosing an appropriate size we should keep in mind that bigger images correspond to higher computational requirements (both memory and operation wise).\n", + "\n", + "As a first step we should figure out the dimensions of our images. " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T02:21:05.225185Z", + "start_time": "2018-06-17T02:21:02.841333Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Minimum image height: 135\n", + "Maximum image height: 1200\n", + "\n", + "Minimum image width: 119\n", + "Maximum image width: 1600\n" + ] + } + ], + "source": [ + "all_sizes = [io.imread(img).shape for img in all_images]\n", + "\n", + "heights = [img_shape[0] for img_shape in all_sizes]\n", + "widths = [img_shape[1] for img_shape in all_sizes]\n", + "\n", + "print(f\"Minimum image height: {min(heights)}\")\n", + "print(f\"Maximum image height: {max(heights)}\")\n", + "print()\n", + "print(f\"Minimum image width: {min(widths)}\")\n", + "print(f\"Maximum image width: {max(widths)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We will resize the images to $256 \\times 256$ pixels using scikit-image (other shapes would be fine, too). The images won't be cropped but up-sized or down-sized using interpolation.\n", + "\n", + "Further, for simplicity, we will skip images that have less or more than 3 color channels (i.e. images whose mode is not RGB). As a quick reminder:\n", + "\n", + "**RGB** is a 3-channel format corresponding to the channels red, green and blue. **RGBA** is a 4-channel format corresponding to red, green, blue and alpha. The alpha channel makes the color of the image transparant or translucent.\n", + "\n", + "Note: make sure to create a folder named \"resized_images\", otherwise the code below will raise an error!" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T02:21:54.215522Z", + "start_time": "2018-06-17T02:21:40.866701Z" + } + }, + "outputs": [], + "source": [ + "resized_path = os.path.join(root_path, 'resized_images/')\n", + "\n", + "for img_path in all_images:\n", + " # Create a new image name to save the resized image\n", + " img_name = img_path.split('/')[-1]\n", + " img_name = os.path.splitext(img_name)\n", + " resized_name = img_name[0] + '_resized' + img_name[1]\n", + " save_path = os.path.join(resized_path, resized_name)\n", + " \n", + " img = io.imread(img_path)\n", + " \n", + " if img.ndim != 3 or img.shape[2] != 3:\n", + " continue\n", + " \n", + " resized_img = resize(img, output_shape=(256, 256)) \n", + " io.imsave(save_path, resized_img)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T02:22:15.581330Z", + "start_time": "2018-06-17T02:22:14.613380Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "all_images = glob.glob(resized_path + '/*')\n", + "\n", + "# Plot a few images\n", + "fig = plt.figure(figsize=(10, 10))\n", + "\n", + "i = 0\n", + "for img_path in all_images[:4]:\n", + " img_arr = io.imread(img_path)\n", + " i += 1\n", + " ax = fig.add_subplot(2, 2, i)\n", + " ax.imshow(img_arr)\n", + " ax.set_title(f\"Resized image example {i}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 3: Normalizing pixel values\n", + "\n", + "When we want to train a neural network it can be useful to normalize the dataset. This is nicely explained in this [Stanford course](http://cs231n.github.io/neural-networks-2/). \n", + "\n", + "Normalizing pixel values has two steps:\n", + "\n", + "1. *Mean subtraction:* in the case of images this often refers to subtracting the mean computed over *all* images from each pixel. The mean value can be computed over all three channels or for each channel individually. As described in the given link this has the \"geometric interpretation of centering the cloud of data around the origin along every dimension\". \n", + " \n", + "2. *Divide by standard deviation*: This step is not strictly necessary for images because the relative pixel scales are already approximately equal. Nevertheless, we will include this step for completeness.\n", + "\n", + "Further explanation why normalization is useful can be found [here]( https://stats.stackexchange.com/questions/211436/why-do-we-normalize-images-by-subtracting-the-datasets-image-mean-and-not-the-c)." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T02:33:08.126610Z", + "start_time": "2018-06-17T02:33:05.292851Z" + } + }, + "outputs": [], + "source": [ + "# To compute the mean and standard deviation over all images\n", + "# we need to combine them in one big array\n", + "big_list = []\n", + "\n", + "for img_path in all_images:\n", + " big_list.append(io.imread(img_path))\n", + "\n", + "all_imgs = np.array(big_list)\n", + "\n", + "# The image pixels are uint8. To compute a mean we\n", + "# convert the pixel values to floats\n", + "all_imgs_float = img_as_float(all_imgs)\n", + "\n", + "# Mean subtraction\n", + "mean = np.mean(all_imgs_float, axis=0)\n", + "all_imgs_float -= mean\n", + "\n", + "# Dividing by standard deviation\n", + "std = np.std(all_imgs_float, axis=0)\n", + "all_imgs_float /= std" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T02:22:44.020592Z", + "start_time": "2018-06-17T02:22:40.474869Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(12, 12))\n", + "\n", + "for i in range(9):\n", + " ax = fig.add_subplot(3, 3, i+1)\n", + " ax.imshow(all_imgs_float[i])\n", + " ax.set_title(f\"Normalized image example {i+1}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 4: Converting to grayscale\n", + "\n", + "Converting the images to grayscale is very easy with scikit-image." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "gray_images = rgb2gray(all_imgs)\n", + "\n", + "fig = plt.figure(figsize=(10, 10))\n", + "for i in range(4):\n", + " ax = fig.add_subplot(2, 2, i+1)\n", + " ax.imshow(gray_images[i], cmap='gray')\n", + " ax.set_title(f\"Grayscale image example {i+1}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 5: Data augmentation\n", + "\n", + "First of all: why do we need data augmentation?\n", + "\n", + "The performance of a machine learning algorithm depends heavily on the amount and quality of the data it is trained with. In most cases, the more data a machine learning algorithm has access to, the more effective it can be. However, most of the time, we only have access to a small amount of data with sufficient quality. So, if we augment our dataset in a useful way we can improve the performance of our model without having to gather a larger dataset. \n", + "\n", + "Furthermore, augmenting the dataset can make our model more robust. For example, consider the task of image classification. Let's say we want to classify the breed of dog/cat shown in each image of our dataset. Our training set will contain only a limited amount of images each breed, and each breed will be displayed in a limited set of conditions. However, our test set (or real world application) may contain images of dogs and cats in a large variety of conditions. The images could be taken from various angles, locations, lighting conditions, etc. By augmenting our training set with small variations of the original images, we can allow our model to account for such variations.\n", + "\n", + "Images can be augmented in various ways, for example using:\n", + "- rotation\n", + "- translation\n", + "- rescaling\n", + "- flipping\n", + "- stretching\n", + "etc.\n", + "\n", + "Most of these tasks can be performed easily with scikit-image or one of the other image processing libraries. Let's look at **rotation** as an example." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlQAAAJOCAYAAABx1ZnUAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAIABJREFUeJzsvXu0Jdld3/f57V1V53Fv9+3XdE/3vPR+IpmRQCMICOxgJIQwCg8TjGNIlkNsL2I7y8YEh9hjW3iRBMfysmPH5iUbGWwRMCQCg2PeIIiMJMBGCBCSRqN59Yx6+nHvPaeq9t6//LH3rrPP6e7RdPfM9GPqt9a595yqOlW76lTt+tb39/19t6gqY4wxxhhjjDHGGGNcfZjr3YAxxhhjjDHGGGOMmz1GQDXGGGOMMcYYY4xxjTECqjHGGGOMMcYYY4xrjBFQjTHGGGOMMcYYY1xjjIBqjDHGGGOMMcYY4xpjBFRjjDHGGGOMMcYY1xgjoLrCEJEvFpFPPUvr/oSIfMmzse7rHSLyLhF5x2XmfYOI/Lvnuk23YojI/SLy7uvdjjFuzBj7r6uLsf96buJm779uCUCVLuSFiOyKyKPp5N++3u26UeNqOlURURF5ybPRHlX9l6r6pc/Gusd4+iEi3yIivyEirYi863q35/kSY/91ZTH2X2NshohMROT7ROQBEbkgIr8pIl/2XLfjlgBUKb5CVbeBzwbuBb79OrfnuoWIVNe7DWPclPEw8A7g+693Q56HMfZfKcb+a4yriAp4EPgiYAf4DuA9IvKC57IRtxKgAkBVHwV+htgxASAiXy4iHxKR8yLyoIjcX8x7QXp6+UYR+aSIPCEi/1Mxf5aeGJ8UkQ8Dn1tuT0ReKSK/ICJnReR3RORPFPPeJSL/WET+bXr6/FURuV1E3pnW9xERuXdzH9Iy+yJytJj2OhF5XETqSyx/v4j8XyLybhE5D3xTQuzvFJGH0+udadoW8G+BU6lNuyJySkTeICK/lvbjERH5RyLSpPX/UtrUb6Xlvy5Nf1t6EjgrIu8TkdcWbbpXRD6Ynhb+NTC93G8mIt8kIr9SfFYR+Qsi8gfp+39HRF6ctnFeRN5TtO2wiLw3HZsn0/s7i3W9UER+Ka3n34vI/1FSyiLyxrTesyLyWyLyxU/RzlMi8qNpWx8Xkb9YzPspEfl7xed/JSLfn96/WER+TkQ+nc6vfykih4plPyEi3yoivy0ie+lJ60Q6b3K7D6dl8/n6zel3fURE/upTtPlp75+q/piq/jjw6cstM8azG2P/NfZfMvZfZZuf1v6p6p6q3q+qn1DVoKrvBT4OvP5y635WQlVv+hfwCeBL0vs7gf8I/INi/hcDryECyNcCjwFvT/NeACjwPcAM+CNAC7wyzf8u4JeBI8BdwH8CPpXm1cBHgb8ONMAfAy4AL0/z3wU8QfxRp8DPEX/kPwNYIhvw85fZj58C/nwx7+8D//Ay+38/0ANvT/s4A/428OvAceA24H3A3ymOx6c21vF64I1EpP8C4HeBv1zMV+Alxed7gdPAfWlfvjG1f5KOxQPA/5CO0dek9r3jMu3/JuBXNrb1E8BB4NXp9/hZ4EXEp48PA9+Ylj0KfDUwBw4APwL8eLGuXwO+O7XpC4DzwLvTvDuI4OGt6bj98fT5tku00QAfAP5GWteLgI8Bb07zb0/H448B35DmHUjzXpLWPUm/xS8B79z43X8dOJHadBr4YDrG+bz5mxvn6w8DW8Tz+nFW5839V7N/G/v6DuBd1/u6fr68GPuv+xn7r7H/Wp0L19R/pe+eAJbAK57Ta/l6dybPyE7EH3SX2BloOnkPPcXy7wT+/sYPfGcx//3Af5nefwx4SzHvm1l1SF8IPAqYYv4PA/en9+8CvqeY998Dv1t8fg1wdmM/8on1dcCvpvc2becNl9mf+4Ff2pj2h8Bbi89vBj6R3n8xGx3SJdb5l4F/U3ze7JD+CamDK6b9HpFyfRMxfSTFvPdxZR3Sf1Z8/gDwbcXnv0dxQW+s67OBJ9P7uwEHzIv57y4u2G8DfnDj+z9D6uw2pt8HfHJj2rcDP1B8/moi7fwE8AVPcWzfDnxo43f/huLzjwL/ZOO8+fGN8/UVxfz/Ffi+4ly44v3bWGYEVM/hi7H/up+x/8rzxv7r2vuvGvj3wD+9luvyal63Usrv7ap6gHixvQI4lmeIyH0i8vOJ6jwH/LlyfopHi/f7QBaFniKeZDkeKN6fAh5U1bAx/47i82PF+8UlPl9OfPoTwKtE5IVEZH5OVd9/mWXZaGNuW9nWB9K0S4aIvCzRzY8m2v3vcvExKuMe4K8kKvasiJwlPgGfSq+HNJ3dxfavJJ7WcRORuYj8U4lixPPEp6dDImJTO86o6n7x3fI43QN87cY+fAFw8jL7e2pj2b9OfBLK8f8Qbx6/p6plCuBEotAfSm18Nxcf2ys9TzbPyUv9tleyf2Nc3xj7r/UY+6+x/7ri/ktEDPCDQAd8y+WWe7biVgJUAKjqLxKfrL67mPxDwP8N3KWqO8D/CcjTXOUjxAstx93F+4eBu9KPWM5/6AqbfVGo6hJ4D/Cngf+KeJI85Vc2Pj9MPCHLdj18mWUhPrF9BHipqh4kXmxPdYweBL5TVQ8Vr7mq/jDxmN0hIuX37770aq45/grwcuC+1O43pemS2nFERObF8uVv+SDxCajchy1V/a5LbOdB4OMbyx5Q1bcWy3wnMdVwUkS+vpj+d4nH/DWpjX+ap3/+XS42z8mHL7HMlezfGDdAjP3XWtvG/mvsv552/5V+r+8jgsSvVtX+Gtt4xXHLAaoU7wT+uIj8kfT5ABHpL0XkDcCfuoJ1vQf4doniwTuJ9GWO/4/4NPjXRKROgrmvAP7VNe9BjH9BpJP/BJ+5Q9qMHwa+Q0RuE5FjxNx5FjM+BhwVkZ1i+QPE/PyuiLwC+PMb63uMmHfP8T3An0tPzyIiWxLFsweIeX8H/MV0XL4KeMMVtv/pxgHiE9BZETkC/M08Q1UfAH4DuF9EGhH5POLvk+PdwFeIyJtFxIrIVGJJ9p1cHO8HLojIt0kU+loR+SwR+VwAEXkT8F8T9SXfCPxDEclP+geIKZ1zadq3PgP7/T+np9tXp+3+60sscyX7h4hUIjIlPqXm5ceKq+c+xv5r7L/G/usK+y8iqH4lsWJ28Qy08YrjlgRUqvo48WL+G2nSXwD+tohcSNPecwWr+1tESvLjwL+j6BhUtSOe4F9GzDv/Y+DPqOpHrnUf0vp/FQjAB9PFdSXxDuLF+NtEkesH0zRS+34Y+FiiUk8Bf5XYUV8gdjabJ/j9wD9Py/9JVf0N4L8F/hHwJFHc+k1p/R3wVenzGaKe4seusP1PN95JFLE+QRRG/vTG/G8APo8oZnwHcb/a1M4Hga8kPs0+Tnwi+lYucV2oqgfeRtQ4fDxt73uBHRE5SDzfvkVVH1LVXyY+Kf1Aemr6W8DrgHPAT/LMHItfJB7znwW+W1UvMha8kv1L8R3Ezv1/JD6FLtK0MZ7DGPsvYOy/coz919PYPxG5B/jv0v49KqsK0G94Btr6tEPW08Rj3GghIj8H/JCqfu/1bsutEBJLoD+iqn/zMy58A4ZEX5WPA7WquuvbmjHGeOoY+69nNsb+68aOW5KhulUi0bGv49J06BhPI0TkcyX6qBgReQvxiefHr3e7xhjjVo+x/7r2GPuvmytGfcQNGiLyz4nlqX9JVS9c7/bcxHE7kaI+CnyK6I3zoevbpDHGuLVj7L+esRj7r5sonrWUX0LT/4AocP3esbJojDHGuFli7L/GGGOMK41nBVBJ9ND4faL/yKeA/wB8vap++Bnf2BhjjDHGMxhj/zXGGGNcTTxbKb83AB9V1Y9BHBeImPu9ZIckIre0Mt6IEFQxyblDNZp4XGqny2mCoCiblh9GBFVQAmOMcaOHql6rZ81zHVfUf6Vlbuk+7NmOpmkwYiD1dyLpXer+sgF5mhv/i6S+UAkaGLpKhaABY5JEWFf/JH0vhIAyOGunHlZAYv+KCBoURYdtFKtnrVtO6zdm9R0o2pw6/Ly4iBTriPsgqU8PIaCqiFldMhK/tGoj2Zk7f1SCKuQ2pvXJ8J3ViCiUa5WN+9DlyBXV1Ia4iH8eFrI93T7s2QJUd7DuhPopovX9ECLyzcRhEG7uyH0A+X+eEE/C2hpmk5q9/ZaJhboRptMZJ47v8OgjZ5lZjyJ4D60LLDtH75SgEC95YTKZ0fUOEYM1ls71TJqGZbd7nXb62Q5zmfcQu9P4NxCIxzqknpfiN7DxJQAennuPtzFu3viM/RfcQn3YdYytrW1O3X6K+XyOILiuwxiwlY3Ax3u886gq3nuCghqDiFDX9QCavPdroME5F4FWCIgIVVURnAdVjDF0ncP5nmW3wHuPtXbtVddxDOcMvpxzA0gJIeC9j4DOmGG7tbHgAq3z+OBBlGhCr4TgyECoqqr0vQiimmbCpJkgYmnbnq7rgICt4rYAjDFD2wCc9zjv4zEJga7rhn2uqoqmaSJIzcfHOfquG9qd254j70PeXpqIuo5KoKoqss3ponecW3bP3klxE8d1E6Wr6j8D/hncxE93nwGzGomvxaLlyKFtXvGKF3HnHSc4cnSbl7/spdxx+wmmwKfPnOXxTz/JI4+d5pMPPszHH3iYBz75GOd296hrQ+876kpwwdF7x8GDO5w7f+452cXnPuQy7y+3zKXCIDSIbEN1gDDZgckBqAyIA7+Mr/48dGehPfsMtX2M51PcEn3YdYzbjp3gtmPHhxu7sQZbV6hfgQgA7wMaIuOkCTj5EAgh0DQNdV1jrR3YnQyQQvpOVVVYEfqgOOfo+x4QKltT2VXl/gDaChCWgUZ+DexWeg8FI1RZEIvFEHro+xaRxHIZi4hG5q1ooyoDWKvrhqaJ+5JBlTGRtSqBjqaMR25Lbm9uT7k/Q4ggxmAK0HkpuY8kNk5QvGshBNTayKSl32NilVllWTh/bSfALRjPFqB6iHVr+Tt5BoYzuOGiIpIhDsBgpUK9EhmReLJubc15432v4zWf9XJOnDjKC15wJ01tOH36UR5/9JMc3Z5xeGeLk7e/iNfd+yqQCo/Fq/CR3/soP/JvfoIPfOh3CGqoakPbOs5fOHPJi+H5FLpGC25Q2QiCAQwqFsSArSOoqmdQb0G9DXUN1QSqGvwudBciuFp+GvZPw+5jsPvIxvrHeB7E86P/uo5hbcWpU8nwOt3ku67DGBPBUh9BB4APHk2gIU5w+KCIMXjvE3uyYo+MMRhjEtjw8TkqMVqZXYrLWebTLRbd3rCt/H1YASVNrFYJpKy1w3IhhLgP3icAZ9N2LM73GEPMLliDiBJC3FZkqTzeu2GdlTUYw8CiVfVqv4IqVWLE8rGoqoq+7wcGqwR9mY0ajnlVDccx78slfxtjMATUmJhKZJ3B8kGZWkvvA+55fh/ajGdLlF4RRZ3/ObEj+g/An1LV37nM8jfnr5KySsYatAMJ8UlIcFQmcGC75k1f+Gre9KY3cGjnEN4J1kxYLlvECFPTYnyLMTWmqpGqwdgGU9WYqmEyP0DbK7/7+3/Iz//C+/jAh36T8xf2qKqK/b1bzhMthVCoDbiYjRJM0pZpTvcRCj2DINQIM8RsE+qDMN1BpzswPQD1FJoDUM2hbpB6EkFVPYVmDvUUrRuwTQRhto7gau9RePg34MJDcD69wq36GzyzcbNpqK60/0rfuTn7sOsQB7YPcued98Q0nwjOOVzf431MiwGE3iWNaPxsrSX4gOtj6l4R1Bjquqau6wEk5GWttXjX4/ouApWqAhX63rFcLun7HmsrrK1QDey3ezjn8AkUNU3DbDYbmK4MuJxza+m3EALL/f0BdEWQJVjT0HUd3veIxGe6CM48qn4N3KnK0BZrLRoE5zzex/03NqUuUyrSJCCZ2am8npzyy6DKpNRoCf583w/AqGS3gKEPtSb2sc53qA9YEayJKVif0oyqSkDY7fvnxePmddVQqaoTkW8BfoYIO77/qTqjmzYECDCZTli2HaoBwaAaOHHiIG9846v5nNe/kuNHd3D9EtcHdhcXwDccv+0UUrcs2wss2xa/WCAssbZCbIVUNe7cWY7cdjv33Xcvh4/ucOjIDr/6ax/gkUcev7yq/aaPZ+LeK4ABMYjYyFIZk3o1QGzMxSbxaXqEjELUVe+X/hs4eAccugvufmNaPrXxwiMRWJ0rQNb5h+D8p8C1z8B+jHE94nnTf12HOHH8dk6duvuilBkiiJik01GoLH3rQQJVVQ2Awbv4EGOthbDSTg2pKokdoyFgRAfNUQghgaAIhmLaL4O1ito2A1jKmqk+gbfM5mRglkGXtZbgXARvCXDFNkBQx3w+T6AlgkPnekKQmMLUbg30RJ2VH0ChSARsIoLzLWwwZBlUZSCX21mmBku91JASTEL1fLwGnZkxBFL3qIKIgpqYgZGk5w0BH3wqAIjra8TQ6lgcleOGGHrmZn26kwbUQV0bXKsYDDUwnze89S1fyJve9DpuOzrHuT0W+/vUdkrXwvmzHXU1YXpAEaNDZyEiVCaJDp1jOpky29qmmkwxVcP2zhHe/8Hf5F/80Hv48O88dIsCqqcWpMepTyVIFwwThC2w22izA7NDhNlBmGxD1cDkMFSRnZJ6ClWDJoZKM1tlqrisrcHa+MpgSp4G6Ns9vQGyCuDV713zUbqZ4mZjqK4mbtY+7LkKYwx3nLqTI4ePIKZCxCSQYta0S1E0nkBMCBACXd8OYEFDiJV0WddkDMZWA8DJYKqqbGKubAFSIovVLnsWi0XUViVmyDmH1yhUd84RQmAymUQxewIymYFyzjGbTqkSQ1UKwksWZzbbpq6axCD19K7DuR5VTwirNF8GRPEyicAyVjwanOtw3kX9U1o2pzj7vl9L63Vdd8lUXsmoee/TMQxDO4MIYmz6XsAg1JWJ+qkQ4rNl+o289wSvqS2Wvne0weNvzZvRENe7yu95EaLxHu66QGUEo8rhgwd43We/ks+/73PYair65ZKub1EXU4MCBO9Z9As647HWJNigF4krHz99mpMnLRZl/9yTTEPHl3/+vbzo8JQ/+5f+FxZdhBWI3IKlrFd7D476KREDxqDGoplpyi8TdVXGGNQYMFGwqSYxWSaxVsg6IzWwVly+xDjH9vH4OnXv+nQF9s9EFmsTcJ1/CNrzV7nfY4xxY0au5KuqKumkPFXVZNeANf1PyHYAQN00uK6nsjXB+IE9ihVrEfjgk7aoqmlqgzWCczqwSFm/tC4uX+mLIguUbBvMlD5E0HMpdiezOrPplCb11Vm/lOet0nhK2+5jxESbnFShTaWAxXshBL/GFEVwFcGm956+XwIM9gd5O2XlXwmeBkYrsXgroLaqdpR0r8hWDN5YApGGhXhDU1G8BmprCckrwavHK7gQt1M1DahgEeoeNHjCLQ6qnk6MgOoaIjiw6f5KUA5sz3n9vZ/FH33T53Fwa0q7OEe3dAgBY4Su7elapWlqqnrC+fYMXaeEdAE2Tc20mUTK2AduP3UHQQPLZcty2fLgpx5ib3+fu+++m69829v40R9/Lz6JKFvvwVTU9YS2W8JAw96cJ7kUfy+eKoVH16W+mYGPXQdSw/QIoBAT12NsAlkJWJWpwCIdKCKoeZpA7ykAl8yPwPwI3P7ai7+2OHtpoHX6Pz297Y4xxg0Ux47dxqnbTw1ptBhZ+2gIIaa6VFcsUFPXwzRb2eQLtaqQ6ySmzarsIWUMVQVVRAUD6Oi6LoEMu5Zey3qm0gqhrqPFwMRMMEbWROoloApJ72VSFWBeptQlZZBjjEHxeB/F41XVgIcQPCZlInLk9tW1xft1+4KcajTWojC0LQvtS1CV93lNG8WqsnDYD1V6MahRpGS1BAgaGSfVWLFIBrkygLaYJoyMma1qamdow2ilMAKqawgjyfHICJO64hUvfSGff9/rufPkcbr2ArOmoesdBoMRiw+AV5qqQaxBjCV4T+89rnf0vcO7EJ9kUM48eY6mqiJzVdVUVUPvAmfP7/Jlb/4SfPC896d+mtZ5jIALjqqe03aaGJaiEi4Vw61csm7E+MyWCbL5KXW2+bOoRAcwzfMTKDI5ZWdX2qnEPknSTomY4v86mFql+8qWXGy6+pnCcOly5SGmO/F1/FWraQr0u3DuMqzW4tNX1IYxxni2wxjDyRMnOXz4yArIbOicMqiJICRqpSaTCU1ds1wuadsOUJq6gRBT/KoRKNjKxisweCqrCCuvqOhxudIHGZMBTJVAS81kshJk5+0PFXxSYeqV8FtVscZgjaED+r4fpm+KwMtrO7JMHZWt03yL94623U8VfyZV/OXKwQoRizFKVekGc5WyG6nNGTjlNGTWiuW2renTWLFU1tpY9GyE2isOQ4grXt0UhJgSXDOPXmneFGKVJQlsGoO1UEtN75/ffn8joLqGsJLyzCgnT93G577uNbzgrpNYcTSVUNuaSmbk+7v2AWsV5wNduxiqO6pKSfIBeufxEmntvb19Dhw4EJ8ATIUgLJcd+/unefFLX8/b3/YWUMfP/uIvc253iXeBxf4uVV3hQzKVUx0uFCleN6+DSMlMXdoyIXsfB91YJAvSE4DSzFQNrwjAtNRKZTGnkQiysq5rTTKj6/9zLmOz5Ql/XQ6CXRZoCdBswW0vh2MvT79p8eoWMYV47sH4uvBwtHvYfTRaQIwxxnMYW/Mtbj9xkslkMtyEM5uTdThd14F4QojMScm0dH3Pcrlkf3+fqoqgQUNAvSfoCuRISr33vcMGm67pDCJW+ssVayQDoNKZ4p1uMFDxGjRikQRWVBVCSFn+lX1CWSFni2Xz/kYw1a+0V+oBgzFV0lvZpIWKOqmY5oO6jn5Vpa4sg6GBBdv4nMFU3reSiYJ1UJXZuZAAUSUWqgrvoq5r6LtE1sCkGIMGHeQOqlGkLlm1bpJtEIrzz9/q5xFQXUNkz25UefnLXsSrXv4SZhOD+g5rDcH3TOopxhqWXYcRT90I2gWCesTWCDFtaG2kgp1XQkL5VgwXLuyxXCyZTWfM5/OULqy4cP4Md546ztve+mbOnj/P+97/IUzVE9TQ9i6CggyoUigQ8g39xqSoPmM8veJGs3oVmql44a+o9sxGYWxkC0VW6b4MqgwXT4tCg/VWreG6S4Ot9XZvJjUVuSzUyj+jbjBkafXVFI68GA7eDSdbcA5cFysNu0VksfYehb3HYPE4LJ6A9kw0NR1jjGcwjhw+yonjJy7S72yyKLGiLuCDDM7eIkLbtqmyzVNVNXUd5y0Wi1QdF72lJDFVKlEzmcGN1wCJDbJJrL5qh8e5la+U2ph2XDFMWc8EtW0IOESVHgYmLQOovM7yfQghCd0v1lb50GNSusyaKonvI0tVVXV8mO774TiU4C2D0AyMjKThaorqPudcSivGjEbf9xcBqhI0DtM1sXfWAgFNHlmCEESwsjL01CQajutbMXuwYvjrapIA3837yH4tMQKqawhJyGRrBq962Qs4cfwQFSGdiA3OmXQhgDU11kbtz7QSvDPYEJ9iXNdH9K/5SUK4cOECIsK0aWiBtnUYWzOdzgghcOaJR1gudrnt6GH+5Fd/BX3f8Su//kFc8IkKv1SDE2Fzw4KpZ6IYrODhhrRdTt2RgBVrqbwhxVeyShmEpe+tWKrLtLOcpBszMkOYxeyyWlCHL2yO27gOsC4LJIW4j+pTWy2YeM4hglY1bJ+E6THYeRn4HvoOfAf9AvYfi6/uTARZ7gL4fcahesa4kjDGcNcdd7G9fYAQwsDOZLfxElzAiu2pKoux9SBYz2m7ra2tCGCIl0xmuPCRSe77NIyKEYxWGInj30kItG4FZvL/yPb4+ABFBgV60bTYPqVtFwR1TCaTob2lT1Welq0VNtN+ucCoBF3edYjUTCYzlEB0TpdhOVVlsVjEYW8ScLHWrm03V+sZa+kLDRiU1hB2AGGr4WUUJFAWqw2WDaKoxPuOj/m/1fy0bGnVED+TPockcs/FQMKknrBsF5fRuN7aMQKqawjnAtMKDhyY8vKXv4jpzGKcoqZCXUDFYCobjTpF8XQE70Di+E3GefDgrcPaSCEbEeqqYj6fx3y4c3jn6XvHk0+eBYTDhw/j21329zzTWcPLXvpCvv7rvopPnznHhz/yUfqNTJikdJaGcCOjqSEG5m9jao7B1FN0gw3Kkdkpuw6qkCHlhySBeUrtqSTtlVziNVT7FaBr8ziufd5o+wojXawBW1/JWjpzBbaK5WPJEIN+K4niJMT9FGNAE+WpFQQfh45ILEEIKbUZiMek2QFs/F8dTcPxnIM+AStaoCd2FUpMFt/459AYz11szbe4+667mc3meO9ZLpdrompg+FyKtodUGasUmnOeyaQZBNd93+OTyeWkqVHvcf1KXxRBhsEgGAsmbUeNDI7jpfN5dCbXlbt6whvlcs73IEpdRe1TBoW5ei+DPlhptXLKstzvvM4SgGnw1HWDqsMHd5GHVD4+k8mExjYrE8203mzj4H0alzABqNIhvRSOR9bMYCsLYZ01XLds0DikTWahiI94WTUVxx1cgeHsGSYiyDAgdMBI/C2aqqJ1z7+HshFQXXVYEGUyq7j3da/m5J2HaHfPsNVMEDGYakqj0VTSG0Pne0LwtG6B6x2VnWBEmE0bmrrCdT1t29J1Pd656ArcOoL3VLaimU4RYPf8Hou9BRO7ZD7f5nxl8L7n5G07fOf9f42HHn2C7/rf/nceffxJ9ltPUEFDBhQ23fhvwRNdBdG4j4JFTRW9pGwd/4uJ/80KZInE6r6QrRWMrDynjEklnJJsFYRgystlA1SsYaNNwJE6oqCXm7VazZr2asVYqWYXabP2vYgpY6VO7AUDSB07OwNqFG+S0kGiZ5cSUDxoF3PAOY0pgThsUr4pxG5VmKDMETvHTo9iZkcJ0yOEyQ4yP4TOtwjTGUymIH0EY/tPwv4T8JGfvNwvNsZNHCLCnXfcyaGdwwMrk9mayWTCZDIZUlZ7e3vJNdyvaalKZ/O93fMo2ZMqVjbnSr/GWmorBJ+cwIVou6CByaRhOp2yWCxol0s0RHa23V/AfJbatrIUaNuWtt2naaY0TTNM974nqEuC9WbYp+wRmAFICCGtox0YnqZphnRidGT6AAAgAElEQVRg6UdVWiLkZevGpnH4JhgzG9pUfi+Dtgx4Nt3R8zp9Mjqdzudrju6xrYZmEk1IldWgzPmYq+qasF1EaOqK4F2hpUo8uWQwmEFvwNqAsRViLFY0jV4RUI0MVmOE6aRmt+vxz6PnrxFQXXXEO5atKo4fP4zr23jTkxojFZWpUG3wKniUgEGNEEzSMSnRuyOdqAaltga1BqOJ2hVwLhqxhTTeU9NMmE4a8EsWi318EnXuHDrK4aM7HHn1K/iz/8038r0/8IN87JOnk8DRp3RiYmluyJDLvF+PMLidFKm9NVRSaqdK/6msn/oMLNTaNIrPrPyo2NjkZwBJw/5IyUAxTNt8O4jTL+Ull1OOhZQrnkurebnyJjodW8QoxvQJRMbzMAt3leygnLRibOx7ed4MGjNbHOM4BMjA4E2PwKE7oZ5DNYOHP3TxPoxxU8d0OuWOk6eYzWaDgLrUFzVNA6xSYhkgZH1PCIH5fD6kpOJAwfEc6vvIzkynU/Z2z9P3nt47jAMIMcVnDGYSPaoiUyLM53PatkVDPC2ttajzaL2qDMymmF0XR7XI7E8GPFnQXYrLS3fyFSO2GnYmgzJY11nl7WVg5pyjqWtm0wn7+/s4X6QC/Wpsv3JImbzNvL3cnrzuzEy5dIzz/KCrysFN64RVqjWOAdj3/ZCeHGwkdMWP50cqkZX+VoiFVbWNBqQiENSnhzYZiqG71lHrzVwAdeUxAqqrjmgatzWfcOzoYXxoMTbqYHKJrEpFUINooLLQmAneONyyw/Tp/ufj3TAAlbXYicFZy2KxQIBJXWOMJL+WOJxC3y0wKJNJDapcOHeeto2C9CNH4bWf9Sre+pYv5Ud+7Cd5/MmzseIveBCwTYPvbt5hUbIbQvyTbuzqEQIGD/So6VDjwKT02Fq6j8uAKVbAa/i/AarKKD9fnLm75OdN6Lf5ZV1bMKUzM7gyqZ1r6dzMLEVtVyzQWYEjEQvi0az9ShWMKisQNWynbF+h85KC+IdU7ZNx1gCwNl+ZEd10uh/jZo+dgzvcduzYcDMHMCaea+WYehlc5Jt3TollgJDTeVVVsVwuB4Ayn0+ZzWYsF/trQmxFsVIhZgUcbF3RdREQNE3N1tYWfdfTty1VlVJgzuPFY22gquoBOEWwEuj7CPSGse4SI7WZKsypP+ccs9lsAF5N01DX9aBzKsFWXm/UginBO9q2jSyd8/gNe4MMqDL7lQXuGYyWFYRrNg2qBOcSk65Q+FiVLNmmcD5HBnw5TF0P94gSkA3VkKZC1BBcwFQSU5cSxfLWCOoDXdsRVDEiHGxqzrfPD4+qEVBddcRqkoOHtjlx+200dUVVC7VYKqmwtkZNTQiC0UBlDZMmQKP0CQQABA0E54cLUo1i1OCsoWs7XAhFNYfiVNnenuOcY29/SVPXNJMJ6h3nnvw01lq2dw5z3+e+jk+fOcvP/OwvcubsBcQIdVPTJ5q3vMhK4ebNGfEOL2gEENKBWcSXXYJpwTRAQNQhVCtmZo15uTSYkgGEFWZ8g2Zq8z+XAF95+aeq4yvWMOikCggmYQV0RFbIMj1NijGoJvoTE2l+MYRUgYMmlUPSX+lQnVCAtgyycmOklIblNkWwtKY3GzRmxefMYI1xS4SIcOrkKbbS+HR5WgZLGTznVFKuMstAoByPDxim5+KbqqqYTqeIGPZ2L6S0VUUWSIuka0c1DseS1qOq7O8vUnowMsBeA8EpVS0QAs47OqBpfHIijw+8IazG5ytNOvP2Sn1TZqm2t7eHarxs95BTcjkyC5cB56SJD75d17FcLhODt7IjKNN4GYQ651gsFokFlOF45rTeyupB1oBrYN1mIe9L3o9SZ1Uyb+XvmRYmuJ6hICcugUr0sTJBI0gMDiGm/CrD4GLvNRIE81m0zvCq7HW3oNRkI0ZAddXhoIej0y3uPnYXMyZAH72n7BQxFUiNS9VaYhVCZApqBKni00XQNCilarr4PZW1bM1mWBG6tou58uARY5hOJtiqIuiE0O+zWHYghtlsi4PbW6CeC+fOsrM94y1f+kfZXyz4f3/ul1l0Ha5vh3w4rIYuKIcyuPGBVVkJxxqOiVmvzFwVL0mpPhTRgNGQOmeBYAhUiNQoFSsgcHH6b40+H95dAiJdBLby0105Ly96CXF73k75XnQFpPIhSKAqYrUMaqL2SyVEdsmYKEYVScNIFCm8iMZix5oF8XmbaVsrR/osgs8AqqyezG0sCgEuWVgwxs0Y21vb3HPPPRiRgT3Jr1VaSfF+JdiuqorZbDaAjb7vmUwmLBaLQYeUxddDeovIxNdNE3WkIRCNLldsjO9dcoNJwvbK0lQ1XdcnWwRHl4p5QrBUtUWUwRvJWk8IILICFKsBildAr/SWKj2hFovFwEJl/VVePqcMBz1V37Ps2sSgNQNQWi6XK01VqiKEFYjLIvhcLdk0zRrjl9uTtz98N6U/1a7aXKYvgTXwVqYR47FZidlz1XMcojKgauh91KMZiN2qCCb1GUaUro0FBApM6orJpBnaUT9PCllGQHUNIcCRwzvcfttxQruH94ppJphmhhdLpy5WTYSAUYcJHnEhCfhIo6enYReCYo2ANbi2I3iPFZg0FQ6lbT2+6+mCYqoGMRVNM0VSNcpyf58Hz59j58hRZlsHsPWEe+48yVe//cs5e+4sv/brH8Dj8SGZDsPQKeQL7PpG6hgueSPeoE0u0luZYZ6qyc9LqFQgFVClG30sElBjiVYJq3H+1pYlVwImobaRqOcvkl+S04SboaX06RJpwg2wFbNtOlD3F7Fba9/Nq0zLmLQ+FTTE46Jkb54EoBJjFJJ2apXaTP+j8CF2vJqZq3VD2LzhqK/YtKFI1ZIlwzf8JiOgutnj2NGjvPAFL8S5mK6C1Y2/vGmXxpb5Bp4H782C69lshqqyXC6T+Hsy6Kxs8mKKzwQGqWu6tsUYS1WZlSeT88RzMV7zxhiMNfguRGbER+DhQny8MtZgjFClNjnnE/ALa8xZ7gOn0+mwj6UWqtwv59yaED1rwbLo2zkXH1eCH8BjFpnDOoDp25bOxQfYfPyyIWqZ8qzrmt3d3VV1YsFMlYCpMtXaZVdquspKwslkMux3jrWKP1W8ChYIavEhFjSJapJORq2Uek/wns57NMT2z6bNkPbML2stgrvlYdUIqK42BGZNw20njjGbTlm4BUgcudyr4oInIGmwT4eoZ6JKYxv261h5JSYyA95Ft3VjhKlt8MbGij8fOwVrDEagcz2L/T0eP7fH7adOICr4vqNvu2iAN5kQXM/e7jkmszl7u0/yspfcw9d/3X9B3y/5zd/+fZadx1Qrt19g8C3ZLHW+MSMP5Vn4q2hR/YZBicNMrACSgWBBalQsQSxiqjjKesmo5MGRS2G2MVHbbdK2ROOWjCbxZhrqImuNJIGt3HMkIkgSdX4Rs5XJqBBWovecihtYpCIlt/Z92fi4AjVa6sboU6ov71cWvbO2Dklpu3VPrpIhi4dKE9umw1A9JGF6URAwpP5GUHWzxh2nTnH0yNEBOGX2qQRTpfdRZK3i9ZB9kObzeXRFJ96oswA6V5iBYKvIwLjkH5Vv8iu2qEYkMekCWEMlNc73hRA8sielvYAxBmsqbJVSXmLxqT92rk+pyhXznNOVGcxkk83MQG0K1bOmqmS6InDQgWHLD6wZXJb+WBlgTYwhFG0vLRAyWIVYPdm27cB2lTq2/D2IoEpquSjbUH7uum5I75XgEVhrmwsS06SE+HApmkTnkSgICVAJUNUVs9l0AGRxnYa6ruj6nsYY2pviHnP1MQKqqw7hwIE5Rw8fpk9+G9YYrK2wdY0Ri0npFO8F9bFCLQSlriuM8RiEHkGswfc93ge6EFG8GsFUFny8OU+nM2az6JT+8Lkli0XLpKmYzbaoreBcz3K5R9ctmW3N8cGzv7/Aec8XfsF9nDnzOI+ffoSPPfhkKttd5eMzfV/m3W/YuOj+nNmQkJKrNmmkKlAbQVVmVdIgyGqqBAYqNDFXa4Mom/wi0d5FVVyq1JMErvJ/YBiaRsXEbefIKbUN+n1tL9bAVtqvnCIcyLANQCaSJCaa2h4KUFUcK2HlobU2fwUcZRBMZbCVqTbBiA4dfu894n2WhBXbSL/DGpAawdTNGNPJlFMnT7K1tYW1dnAvb5pmuMFnMFUKt3Nabz6fU9f1Wpm+9579/X2stUyn03guOZ9YKRnGoCsF4oMwXKOVQgngspyx65fDtLqp10CItZaqrqmMJZgGEYMJfgB0Wf+1OXRM1meVmqO8j/m1aaUgIgTvcV27AShWLFf50JoBG6z49aB27UG3PA4lcM1gLq97rcIvL2fsAKrKisFS5lEODl2yU8YYKluD2tjXKQTR1B0p6mNWJY7txZCSzbqyFQiN8GJvf5+ud9STKaLK8iYuivpMMQKqq4l0Izp06ABHDh/Cu5UAs6ob7GRKSAyI9x7vDN4J6gzBWsRFh1ln+iR5EbwxBBcvON97RBWLEHwg2EDbdiwWC86dO08lgWoyJfQeb5T5ZItJXSHqsY1lub9PWC6ZbW3zxOOPsn1gm7d+2Zfyhx/7fT793l/nybPn14BTmZu/Tgf0Mu83l4oGc6tFcleU3wvRhyqzVDaCqVJLZeL/kPyotGSkyhcM783AvsTPEXYIhsDg2SSwEjiRKgzztg3BuNhGDZAYS7zHhBVwkSQmH7ZfpABjh5hWn0HLAGpKRqxIvaX3AuvVeBnsXOpQD/nKImWnq2MsQzo0rkPjnSDmkYMmgBfBVUyrXvbnHOMGjKNHjnDi+ImBychanaZpkt3A+mDA5U0/V/I1CdjkSr7pdDq4oM/ncyBaLyzbfhBwA0P1WWZHMgjIQ9XkUI2GlsYaKq0JwQ9sk2ocCCAk4FQ1E9RYtO1ie6sKwkoDlVmaEoRNp9PB7iGDj02daa6+GxzRQ8B7NzBWedlSaJ7BTdZhlcPTiEgEQQVbtlkBaIwZUnWb6b5NUXtlo0C9nL8aPHolWt/UisVIvlRVTFs63yM+DU4dojciQQcgFQd1Xl3o8bjGysfdvV16HwgIYizSe6yx+Ft0aJoRUF1NSDR6PH78GEePHUt5+pqmrqmbBqzF2FhJhgoqiXWSqG2xYlJ2xGKsYhSCGIKxBB/wxhOMif9D9KnKo503VUXnW1QDPgS6pWNXPfOtLba2D9K7nkljkxt2YFJbzp07w7Lv+Nqv+Voee7Lm/e9/P48++uiaL8vNke6DdfYjv7K/U2JJNDNOSYyuWgCMFThaL/mHARCVmbT0m63WB0pAsAOJk5RLGCS5ZGU38dgJoYr1Z6MOIXk4xW170B7jlkyNR0KIWiexBKkJpsKrJagd9nXATgOwTCBtlVdkBZbMAKiGyjxkVY2XM4kUX4sLF0DIoER3fxmc5TcE6bIxLTGCIvaW10zcSnHXnXdy9MjRtbTXZDIZrA0yS7VcLocbfrYM2N/f59ChQ4OAGlYMTZ5mjInfJVYsZ4Zos2qt1A5FJstRD8Cn8GmyNhb4GIZBlON3PNoHXFCmVUNdRXuFDIRIAGLTZDTbKZTAY9NyIIOQvK6+76krGyv20rHIxyqvIw+UnMHLdDod2LuSyTKq0TeuSL/lGNzRU2y2razey2GNRYysMWPlujPIKnVk1jRYY6OzugacD2jvCc4hktgpHwYwVdph5KrHppmwv9hnb38fH8DYitlkQts6xFoaU7Ps/C3ZN4yA6qpDOXXyOEePHKGpGyT4NHBxDVWD2Dq6lGuH70FDPBlDCEMqMD2HxQEoRVAb9SsecEGjpb/EIQGk1nTj9ODixdH1Pc675KzusdMpdeq8fIi6rG5vH+MDE1VmO0d5+5u/CLc4y8+fOc2yX0/xZU3AjRqRGzKrFN6AfErB0iD3xiBZhbTyYsopuqyFQoc03goABQazpYiEUTUF8rCxkGCoHgxZQYVFB1AV2bRAoy2H/Vl6LEutaZnipQFp8NUMrQ6wUB8tHUKPoccYR0Ubq2NE2ZfbwVliD+UR8WhwDCBSwuo4FJV9EQnpCnsaiu+sFjFDyjFX+8XON75NYLUAbGKSyD2lRVe6qQSm4mAgz+CvP8azFfP5lBfefQeT6Yy27ddMH8t0UwiB/f19ALIH04EDBzhz5sxa6mi5XKbvO9rEDC2XyyRCZyjtKNNQJYDarEozxuBDLJSwth6G6RpAlY2jVmTrmaaZEDB0fT+MjZfTinVdI8bgl35owxrTlEBGBillJV9ubwYhELVIGiqmk2ZgvC6lSc2AI4PUcnqZkpOgSJHaK3VVmwVEm8cqL5f/GwyEVXEArCr58jKr/YW6mmDFUtnYN8R7lqO2htrU7O8vEAVrzbCvZXu2traYzeacfuIJ9hdLPNk1f4rrPaayhODQ4KiMob9pHuKffoyA6qrCoOq57dgxDh48EE90AmIsxlhs1VA101TGrwRXg3N4Xd1440kYhs4l3g5z8brG5I8oGpSgIY6uroG+beldx3w+x1pDCDXGGkRi6WpTW4JGB/bIQNWAcu7sWYJa7j51jC+877N57OEH+Y8f+Thee4yFECQNEVCm0W6sZ4icGBuYlo25A5xK2iaREEePMdAbjUwLUWApBIx4kOikXL5WqbtVCi+m2woWSGycp5Gb8iiCT+4G6TcmgIINHTiojSFIRaAiMEFlBmZKEJtSZZ5oCd2B9EAPoQftEvPTRDCpSlUvwF3A9WeZ2AkaGjwWVRM7rbLtSfU1oMt8nIazL79f/5+PeQZUKtEZOQwDTGcRulwEqqK78kB5jXGDxrGjh3jhPXesbrK1pe0iy1I+YGXDyVytlwXbu7u7bG9vs1gs1sTnuQoug4eoEYy2CKXvUemhlG/OJXOeU125HfFGPiEEN7THaxx6ablc0vU9xlZUKVtQsm0Abdsym81AzACM5vP5GjApzT03HzgzkMvrGzyo0jYyY1OOZ1iOmVcKycttrtgmHw0y0/HY9IsqU5Clo3q5vk2GL/gwgONyqJmVjlYxUsU0nsTrPXhHcI66srjec/7CPnVlqSu71u78++zsHMJ5z4OPPBq3by2zZkJd1QRPHKUh9OkhMBLdlRFcuLHuMdcaI6C6mhCBoHzywQfYms/xIZ58Bw/uxDRe9mghVlzU1iJ1RRDwCEE8lghgnMY0USA9xeSUk6ROyKZ5oliBY0cP41TZ39+PAy0rBBdo/XJ4+jGJ/o5PEvGW2PcdXdcy08Bnv/a1PHHmLA89+gRnLyygEtoujdlQEB1R3i2AQwl4nq1hBFKHcBmgFEOL91JoifIFGchgUAiQQJOqR+hRdRB6JBjEW3DR9FLS+GFKXJ/YOIiompi6ksQmGg2o5GFv0tiAyor9IaCFazsa7TEg0LPFGRMBsJEqVhlSodKAqYEa6grUgW/TbyBx3sRgZR8WHYE6Cd49PvjowWNn4OI2rVax7SoEerw9D6HHYAfAHoFZZOEymCoF9iHLwlSLUXHicbYZSBZp04tSfkOV32ibcDPEPXfdEU8HzYMXO9plP/hDbaa/yjQPMLBZ2R4gRxZte+/Z3j5I00zpXRonjpUWKTM3GVABgz6p1C3lbVYDMxKv27ZtCRpQH5hM59QTHbyymqZhNpvFZQqmp21bbFXj+5W4O7cjHoMVWMlicmAQ2ue2lem2upnguijez2ace3t7Q/vzOIdN06yNA3hJls47pJhfpulK+wNg0LXlfSttLPK+GIr3hQbMGIPrQ3JPEdTEYWtc14EGmrqiXSzY292LvojWDAajeRuz2YzDhw/z5NlzPHL68XhO1HUcKDvE/oQ0lqgaGZhO1difBIFw3bS7z3yMgOqqQsEIpx97nBAC09kEJ9HDpA/RhddIhQLWOmpbI5VDRaKLbzC4nBRRiYV8kSZCbYXD4BQcgApeolzZCFzYX+BCoEudhK0q5ltztra32d3dJfhceaN4jelAkzohAfZ2z3PoyFE+5/X38sHf+jC//GsfwPUa00QDO5NZMyUQkszbDKDq+kVkg1a5qk0myRNBVdQmhdBhtEO9Rf0SXEAkjgcmeT+TnmiwALAyZNDURMCFKpY+moDaOqX0TPKBSusY0nyOOHaYwxAQBd+cRM2cXnvE7UO/QLSlJhr8adfThcBsa8p8YrE4gmvpXU+7CJhwFu8nqKkItsJr1KCoMVjTxMZKNJKNWqkwJCFX1XvDIYztNauMpgBWEzTNmGvAQvm7lpiklrTL0U4CUwAoydqp4iYwYqobMra3tnjZS16EtZJuwiFZF3jqWgZ2KPsylULokjkqmZgMqnJF33Q6xRpDu9hnMj+wBphyNV+pv8n+VMBw0y/F4nnZrEfKabe+77HJPDMzSxlYbG1tUdd1fAANKxfyaDw6Ze/CeWClJ8rsTr7p53Tg/v7+sM9lOi6Dxq7rqOsGQkCEwUE9Dwqd2aZs1lkyT3l/YVXR5/qOppmssUGlOH3TT2pTY5X3KX+vqRpcHlxaNWlzQYMgGiAVR7V7SySxR7vnzuO958CB7aHdZdXg1tY2Ozs7PHr6Mc6di8exqmrqZkrb9vig1JMGSQ+Zpb4rnzONFVp36+ipRkB1xRHvOGIsu7t7nDt7ltsO3cmkrvA+UDczxDari85a1FrUx5uRqfOTQkVwDieG4G2sngiR1XAIrfrIGPjEDwQBa2JFIWAldnKLrmO5WHD+3HkOHTqEEUV9SjVZS1VZ6umUZtJEywaj7F84x10nT/BFX3gfH/3YA5w+c4bepUE1SyE32X0cbK5Au06nvgyKnILFGgiqMk0X0DSmH9oS+r1ortob0CYNPROgylqxQB78EwM4A9ZGcGWyf5Vg6AkqBBWo7KClQiRWDmootF19ak00IdQqpvZwioaeue5yUPY4aDrmtGzvGGaTiqOHtjiwNUcsLDvP7qLj/LLlzIXzPPDEhKVMcE0dheuAqsFJHcfwSp5bahRCqiiMdaKUAzAnOoJBS5bSgQHBYJHk4SVaJ960i+sagFMyVSw+D+8HoJvUayOYuiHj5InbeemLX4QxQtstUFW6ztH3K6+pylY0k+nAHOXpJXNTMifz+Zzd3V0uXLhAVVVMJhP6rsM0Dd47lvu7SXPIkNLLwKCclhkvWGms8vsMlHy6uc9mM6pqxbwM9gkJlEFkcLa2ttaE4VVVDelCW61E8RkY5bbAepVjOaZe6Ra/lgbUlC5LbZrNZmtgJwPEUiResn8ZdKEaKxULO5sSfJWC9E1DzhKcba677VuMWDTEB0XJGRGN24gpvo5z5/eoK8vW1nxgIEtANEkjdnzsE5+gdw6VyAgiJo3jB14DdB47VAOuVxTmtjaVpXW3RtXfCKiuNNINRUTZmh9g2S4j4KiigaQxJpaHSjTklFCDtTHVF6Cpp4TgCcbjU3oweI/6Kl6I3mFtuqDT2H1huFA9k1xmrIqdCHXwOO9xfcuF3XOIROBjTOwEdDqFtsX3PZNmRiUB73ssgTd9wefx+3/wUd77079Al71BJII91KDBp5utpuTVNR041tN35fRLvb/427q2TJqSQEG2L9CcmNQeDR3qF5Hq6wWjPeBiWi6kSiSUkIdsEAO2Qn1M6alxqDEYUQgdNDVGfGSoJHM78Tv0XdJYabQQ8D0hVR/V7eNx8Gu/4LCc546tJS886HjBQeFY43nB8RmHJwZjFqgu6EKg7R1LH2iD8LHlIX72w8onz/Y86RZ09RSqCjI7pcnp3dj0K3kgloeLBhC/OvxradKUIh2kTukIa3RMl/Tbx90MBGkR6TDGp/RnRqGXYKiQNSuuMW6MeOmLX8pdd5xKAxJHTVx+VFmV3VumkyoynYXGCVbMURY3Z5PJbBvjvaeu4sOikVWJft/vg6mo6skaK1VqpvINO7NIpVh7830EP3EorU0Bd25XBjF5/LxshZBtGFbAyEZNT0rn5X3Z9NsqPbfy55yKzNPi0DeOPqX/BrPPQtNU6qjycchgNQM9TQ8+Gnx6BlotX2qpSoF5btsmq5WPayXRf48Aru/js1BmpL3HuTjM2XKxZD6bDn5dZRVhFpnvL/Z58rHH8EGxdUPdTNCQHOitheCpyeuP3y09xoDh9zEi1NbQ+5tfpD4CqisNa2OqxHsO7cwjaEp6mviUoxhJaTJTYWoFV8dUDYa6mhCCxxuHSEymeePAeIKxOIlKopB8fTQBqeECthWLboHrOsQYKmOpqxqdwP5yEWl2G51pL1w4DxfOD3qC2287wdlPtxw/eQddu8/W9iG+5qu+kocePc2vvO9DSZSedUdpeBYNSW4NYQ0IXUuUoOipAJVsvJPiVQrnNQELEjJwoD34ZdL3AKJoaJDgIpgKiXtL5f1R+1YRfI34GjURkGgI4BVsqgpMqcGYHouMGL6L25RAVRvqyhBaxfueaVDu6j5MXVUc35nyslM7vOTYQU5NFpyo9jk+BXf292iWC3zfs+wcixBoPRyQmmAMs+Ov4fE7dmj7nr3zHUutk39WMi6VpLcyNuqwTMrniWWl0Ntg9ob25zlasFdSHGHPypk+M095fD8BrYAJyCS2wRqCVcSG6MU1xg0R21vbvPLlr2I+nXH+/C6QbQLSTddUGHGYNAYkgOtaqlpWTEIyosw3SCiq8BKTc2B7O409msazK0TtxjiMWQ2SnLVTWdgtElONWdBeaoVKhgdgMm3ig2wCCyVAy0xI9rjKguwM+Da1SXXTYGX1vdyuvN0M9nI6sWSYNoGmMYbFYhHlHhv+TmWaMh+7LGTPVYgZcJS2Cln7eDk9VQZXpYA+r79c1ohQiaH3Lj6gqx/6+OB7+i4CqmxBkfc3a+l2dnY4cOAgpx8/zWLZomKYzBqayRTvAsFAPYk6POtDYs0Zfp98rpRMV/5dK2MIIRYY3MwxAqorDZvSO4k1iv5QNo3bpOCjeNn4QG3B2grTTMA7+j6W2gsGUYn3v3T+aDJ3tEERo9RVSHrnmH6LtLuP5p8+EJzHNgYrZniaOTDfwoeAEWHaNEk7r8znc7d+jI0AACAASURBVCaThr5bUNVTusU+WzuHWeye48X33M3XftXbeeKJM/zBxz5J76PvVbxdJlPKofLruYhNgJU691xZltJ6q/dFGlJWjuTRmr6PVgMKqEd9j3pHCB4JihlE1hXYZHeRynpRF8GCRjASMBgbWSAj4CVqpgRFvMcYpRaH7RYYt6Sx0MwMt1e7fMmR05w8dQd3nzrMvIbanaFpn8TuPs7ZR06j+58mdHso0YtsGQxdEEw9xdQT5ImPcvvsXg7VSiM9VjzBSDwHpWEFePLjJgyu6Sldp6VwPI/ll4+yyPBRhzQgBS9Zkdm4YezDrCG71Hqt4muHkaYUY41xneLEbbfzype9Kgmil9RVDRJHbHCuJw5AHFKqTFCNlV/RnXyBrZs1MFDqh4YCHBHUpxTVhsg7g42maaireM5kYJOF3hlQAAOwKNeRt2mtYT5bjUNXskP5O/lz3ramIp7cjswSlewNYmmaFaDKKcKSkcsMUh6TEFgDWRngNE0zkMEhrQtWac1SG7bZ7uygntvf91E+UCc9VQY6GViVbFcedDkfr7zODKbSULF4k46nV7zv0ODxLg4hk9sJDAAU4NChw9R1zacefigapNuKylimsy1c7xET7RY09FhjoJqssYmbKcrNYXNCCNSVJfQ393h/I6C60gghZTiEBx74BHt7e/R9R11ViEmD7UKia+P4bJW1yHQKRvEeAi4CqCS70VQJIQpiA4aaWqK43SZHYGurOKafxmq/vm+jm7oR6rpBkUF0GJzHWMOkjqXNlfz/7L3bkyzXmd33+/YlM+vS3ed+wQEIgCBIkMPhUGMGhxrNyGM7LEcoHPabXv0ge8L/gfXsJ/0L1ptfHGG/KKQYT8iW5JBirFCE5TDHM5J4BYnrOTj305eqysu++GHvnbW7ecAhBwQIjLERje7TXZWVlZWZe+211rc+hUGwKnVun4YdWo5Ydh3eDXzjN97g29/6Jh/cv8/ZdkwVf3lKVTnVNvJRJ8ZfwcQ6U9lFby/AauZY8v9dOrAhV6R50kHOzUoJEYlCFAtik3Rm2hlwpQ8ppEagMRBCaqisouBDIMS0wtMCVoNlRE9btNtgw5bDBm5eOuLGtSt8fe34/W7BcjXSNI8YhoHjZ495dvIIxjNM6GF0BJflNS0EMXht0aajsZbl+Ihl3HHYNbQmolT2us2m74pdij5JfCEDzxnwZPCj8uMLWL1oHA+pRVI8F5tQP3a/LZHkNUvkVdwDrPrxn49f6/jya1/l1vXbSYKNcWZttBaQdC6lIgqVW4WomY3RWrNcrtlst2kZcyEyoJbgiKkCrx41M9N13QwUfAiIsrNnqmyn5DcVIFN7hSC1ODFazdWEJdG85EsVwFfYr1peatt2DhGtQcsMjLwnBJJcWb3P2ptVAE2RDmsZr27Ls2e30r2kvEYIYU6ML5JkAUd1C5xyzMr7gCTDF9B50c9Uy6UXGx7HmJj1VBGusMakeSkK0Qe8m3BTsj+U1y37Wval6xb0w8CDRw9ZLNdopdjuegyaoR+xbZOielyf96WZwXBhyWozezl25f3OUm2Mn3k/1eeA6pcdEQSFUpG33n7Cbrtj6HtWV64gqsFL8t+EEJjGEbTCKrDa4q1GdDItaufwKpXwKzURvAZjCN4Q/JS7eE84bVDKoPWEVZpGJR369OyUaZoYc3ZSOfmt0YhSyUnjfKJQQ2S9WLBcLHKYWmC33XBwuaMxivWy5T/+g9/ngwcP+D//1b/BuZjbNNUJ5B+Hvl1Lehflv/3ff/EVS9pPiVmG82fESUC/AOJRekL0SPQTAcGbDtyE8o7oXAWmHASf/As+t6uJCu8iyAQqrcQbHWjCwCLsWPhTjuzAK9fWvHz9gBuXVhwdtLwiE4d94PjJXe7tRpxoxhDpx4hzluAibopIaFASMcqgxCLKoFXHYRhZ+zOUjBhlMDrlsad8Kpc/FpsBTiAyJblTHJJqlnM3mEpmPdf8OI1MkOaQ08RGycU/ktLWZW4mXViqmqHayxN8Huz5axvL5ZKvv/ENjg4uz8xPPaGHoOi6BseE1gVEpJiVGCNt29J1S05OTthutiyWy1k+K/KetTb5pLI/pmRHXZTU6pYyPjfT1UqhVHNOBpqmafbs1K1hnHOZeQ7sduMM9go7VKRCSCBvGAacc3MiOXDO91XYsgKOSpCnD4nhLiCtgJM616kGbQUgFFBYA6DZ16X8DGLr57RtyzimdmK1fFi/ZvF7QQKEkt9fLTsWQFvLhvtIh300SgGShWkLOfHcO4/37me8XmlbSa6d/I5hHGm6JRGh7weszbEaMaXqKULym1b7Vo51+X4x7JTq/cw+K9K6cPSfTVD1OaD6ZYcIcZzwwGA0P7z3iP/gdy8xKkNrDCUhOoTUMkG8oBqTDKDaYhTJpK4Nymu090RjCX5CJEIo5sAJN2mQkRgCIQZcPhlb29Bai3cON05V5H8z3yic94w+gYQQA+PQo5Xkxs0CMeBdAhdt0/HGl7/E7/317/Dmm+/w3vsP8BGGMZUMR2Q2WV7U6T/J455GPP897iU/ufi3/LuY5T/lI1pHZIiE7X0YLhEOboKNOG8gLkiG9sz2lB51MRuvZydXoFWRpXLY8YQbneOVSy2vXzvgS9cX3FwLXTzFjY+IJ+/zwe6YnXNsRk/vJwaEIQiT1/jQEKNG42nwtFFoRaWO8aJRfkTwuBgYp4DPUpuobKKPEYk+B5YHokwEmZI536vc/DlVG57DN9lXlkAUc95WqI5fzFEdc54C7FkoVbxp5U/5gQVQzZWBH/WD/3z8suPOCy/wG298NYMCN0+i4zhmADHRdSlwcxxHuq7LEyS5ks3OUQEAB+vDNMFzvt1JuSJ0BTLKhFozT3tj+l5Cm4YdSu+9UwUEFeNz0zRJpiOV85dS/wKAnHMsFgvatp1zpmrTed1GptyzyuvXLW+geMiStaKuZKxBWC3R1X6gItPBPvKgrlxEFMakzgp1rlf5LGqWqgZT9bbnyrhsUJfqGBcAVae7G2OYxpFwoetFquZMbcaGcUJCapFVy6uLxQKtUwX7OE344LFNg9INojTOB5aLNSFGRjcRw8RuM7Barc4xUTU7ebFo4NzxYV+NWPaxsYYQ4zzffZbG54DqlxrFt5LW8MvlgsdPnnLWTzRdh1HJR0BIhnNjbJbi9rOWEkVAk1pKCShPNJoYMjMV08XipXRaB+8c4gNWaYxNkG3RLVKlS17BRJ+8U03TzKs6JcIoI4FI36dS1uVKsVhZuq6jtQ1apciAVdfynW9/ix/88Mf80R//H2x2A0YrpmnA2BalhRj2N41yo7lIMX/aRuqnuE0mTJhDM72yaO8JbkR8D2EHcSSllXtSaWBu7SJriAElkSCaxiiWLRyZwMu3bvDKUeCrVzUvrweOpid0p49h95Rhc8oz19A7xxRC+vKRyQdGHxi9z1lSOvE/MaU9tUQWRCwTHQNBLdiOmjMnjKQG22gFITdYjmCKPElKWPe4LGtm4FUYo1niy8BH5TVsRRAWiU9ypMTsjZp7IJKzrGQGUOdkRSq26vPxiY6vvP46r7/2pT0bEANaNTg3gUvBksvlAu8dIUSaJgGri1VjJXxyuVwRfP6bEqaT1Jqma9vZdF3HHHyY12oYhr3klxmfMqHudrsZeKUOEJrdbodzE+PQz3JayYSq/UN1iGfJiirm+TqAs2ZLChPU9z3eu9y6Jp33BRQWQFhXptUyWAk+rVmlArrq+6G1luA9RttzUuKcw5QXwXXFYy0lllGAlffJr1RLkIUZ28uvgWkczjFFBQzWAG4KAaP0vF+Hh4dorTk5OWWcxuS/XR/QNB1RhHGciDEweYdSwmphGcfINKWGzyU9v5b16irEEmdRB63Wn0v93NYa/Dh9queW543PAdUvPfZ6viZy/OwJx8+ecOvaJQipiTGk9PIxpKqWqBtCFGxMNxVjDZML9OOUL1JB6dTniJhpcmsSC1Hd6KzOK8hhoGsbhsHiJocLPgG5uMBoTds0c7BcyU/RbYv3IRMvhdVJ8piKnt0w8coXXuT3/8Z3+O6f/nt+/JOfsj464Phkg/dTovYrvbuu0Ckrww8fz5tYf5nJ9iNOzHGbbEYihJD68kUEF5NXimEE62ByME2gR1AtmIliyFYucGO6TzPc5XI78ZVbt3nlzi1euLZipTyHamKxe4Y6fRe1vYfaPkZ2ZwzdV3EuMvYbfPRYLbRasZTIJAEfU1PlFJsZ6KKwEsVCIiY6tDb0asXTyfJsUmyxOFUyokraVMh9IX2OjSjZU2YPaopMVz4mqVm8goMU2hiCS+BefO5pOIMkZkAm5wzp1UbqJtSFxfp8fOyja1u+9MXXuH7t2rnmvNqk2I+IwkRDm3vO7XZbzs5OWa66GXQUwFImfWMs1jQ43CzxicA0jXMVWpkcY4zzhFpX29Wgqkh1s0wWPdO0ZzKK2bvve6zRGN2y6BIDVVrc1GzMMAzzJF18UYWV2ste8dy9qe7X56YJo0tHib03qvb9wB4Ywvm8LODc/bA2XNdAJiiFz+yYtZZhGJimaW57Ux/Htm3nuIJyvC4a7f0Ff9cenIDRiuDjudiIsl+FddyzWanib9F1HB4ecna24dGjx/n6VqyXa7RtEKUYdgMhRFzwaC1zPlYBu7U0WsBoGTVLWT6L5wHI83OI0GjN8CnuLfu88Tmg+mVGOUliassx9Fse3r/Pgw/u8eqLL2DaJq8INdoaQjY/K5UiFuduczFp9aVvkiAoq2mbJT741PB4GgnTRMyTpWiF2rr9xWEMxmhEkuEwRLLxOjFV1lranL0yjiOx6YjDgI+RYRqxux2iBN1YFnYJKsU9/LXf+k3+4G9+m7t37/PsyTGm0fjJE9V+RVT8DrW34GM42M/98Wckv79wM9mknreTjrwGmv1jcnUmzqU8KTWC6lFaMEqh3T2sihzJGa+8eJk3brW8ftPwytUzjvQj2D3FHZ8w9juigyFqlF4RrRCGgDXCYrXCT6eEaYc4j7UKZTTDOKJsmzxaAYw2dKZJBQQxEKywjSseDZYnk2VLR1ANMJCq7TwqpoKGSAaNokiXdqlgKhWAnAc/+zPy/M0s/13ICcbn/FHsfyZmJbTIe2WbtU/rc0T1cY/r167x8osvzZlINSujlCJK6pZgScx1kf0ODg7Y9RtijDk5fHGOTdJqH4AJoLTQNBalzlfxlcm6lssKe1OSvGs5azZURz9bIZrcdy/GkDOhNNZ2bDYbRGTet77vzwGcwra0bTuDuYsMyfPiBArjrPU+X6qwODUQrJmhAioLIOu67pxvqm6avDfSp6ojpQRj2lnaLKxeLfcVb1d5XgGINSgseVoUUJi/UlGAmuMqarN3XfFYXquwZIeHR9y4dpX79+5xcnKSiqiMpekWKS4nBKZ+AklzlJWAMeocOCoxFxfZqfpzqo9n2acaaNXvM/2cujFYpZnCZ8dP9Tmg+mWGSFVNBdMAz56c8N7bb/GVL77C8uaN1IOJfKFaTQglU8rnp6fGxaJSRYnOdLPSKZlbRZXbxCXDn4+aySZvlagWpTRGJ6q20YbWNrM/IunsqTrNaIWolDEyOUU/TIzjhDYaJemmoZXGKEFrYdW2bIcdl48O+C/+87/Ne+/f5R//r/8SPyV/Tq3lF1q/NnR+pMOKzBfRhz3iw0cVm/AckCXVDzMeFklR8yalomM0ohWiEvhScaQJBusVzbShiwOXjtZ8+/U7fPnFI166YlirDWZ8yjCdItOOWKqKtBCVZdILvIajU4OPE0Ps8UYTjEWFxOq0oli2Fq0iToQpGNALdLMCZXFhwpuB02HJg17xzDU4uwTTgE+5V0haaRaw4yWHfEaDYAniKlmuYptyqOe+ejNnT0VSGnyW/M6hMEmhtUh2q8XA/kPLf5dUoh1EfZ6Y8AmM2zdv8saXv3JuxV9XotUyHhg2Z5t8HexboQDnzOZXrlxhGAb6foc1DQgYo9LiLd9r5rDIio2ovUUFoBXGaLPZzMxZYbdSnItl8sLp6SmNNXRdOwOa4+Njpmliu91ycHCQevBdCMUs9oPCStWta2qzM+ybFIsIBM6FktYVejWLVe575f0WSRD2smgN3mr5z+gUsRIAlV/bGDP7jYZh4CJgqs3vsx8qL4oLCDuXURUj49DjM7tY2LOaRSuPq6snRYTr169jreX7P/oxVgmmsRjbEEUxTNnuEAXbNmijiX7C6/2xqo3ndXViLT8+D9iWOaSWNPfvPwWtiqTnG61T74vPiJ/qrxSg+nlsya9Ei82l6GWKaSwcrjuIng/uvkejI9evXqU1Swipjx45iVhiIEQy45Q0cG1KQ5dMfWqFQqXAa0n77GdKVxCtkmRFYiRMiDQhYLTBtYrxbMcmCo1tWCxXKX8ojmhj6dqGfhhw48g0uQTqJGXOTNNIdCG1JPCO1155hT/8r/8ui27FP/tn/4LHx8mcWuj6ckMtbSku9pD6y47zn9+e3fhIn1yJqJLsyZbsKzIatEG0Ag1Ge4yMmLjDxkgbA130XLVn3Dj03Lmz4m994yZLPcH4DDttoD+h3z7Dj1vcOOBdSpnXyqKUAa/xMuEl++60QnQHIjix9KGliS3RaxoV6OxEVI6gJqIWvG3YojhzDU8GRS8NmEXyT0UD0SNzs+LcaBQLygFNgkildPwcqNofmwJ6pBwrIbF6Irk+sG4pc3E7+auOS6grAD829vLzsVgseP2Lr9HlarEi7deApvTVmwMr3cBi0c5hmyGkZurAbG4u/eeGYaDruvkeUWcmFdmqLnuvwY1S6lyF3d4M785NpCGEBLSGEZSmbfb9/Xa73Xx/uXz58szqFKBUIhPKPhemp7BIpYUM7O8r83thD1pqMFODq1ouq1vP1FaH8r7KvfBcYKnWNNZkn9Y+TNR7P7N2JdDUWjszbycnJ6nBvdq39qkDSmvwV5ZGWqlzdoxiBC/HojB75fxomob1es00Tfzkpz9ltVzSWIvSCueTcd1om3IPJcU/BD/kYoHFXMlZM3rngGRlln8eS1g+j5oZTOdDWQDsPW8hBBZNy3boPxNNlP9KAaqP28BWWBRjBHzkaK352huv89oXX+X+/bvgJxbWcnT7ACWK3W7AO4/WJrXzAGIoWnhIDWbnFUoK8lRaIcpkQBUIwROjz0xKkwLYYkzhntUqRUjzWvQBAmjdoJuWKWh2uxNEOa5cPaTfJf1+u9lijKFZdKnSkIhpTeqkooVv/tZv0rZJW/9X//r/5q3377Pdbudy33LzvFgG+yFH7uf+Tp4rDf2Ck3HcM1SR+qLN3+P+u+hs0EYjyqCMRumIEoeOPY0XWjWyjAuOTGDdCd98GV65dcCtm0vu2Gfsjp8ybJ4hKqDCiPUeFRWIJaqAj+B8BO/RISRwrEApk84bTTKVojHBYqPG6vTvRB45RG1APeZZ+wrflb/Je48+4GQ8TmnWaiDEltn4HUsvPpWabOdGySm3xiNIDvWkYqgipcJP5tDWODdLLuxVrvPbfx6VXypVGRbgxAyq5oT9+TV/sY/x8/GLj2tXr/L1r35tlt5L9VYBLHWlXQFPIoKolDAedxEfHCF62hwYWbdigZJttGchyiggAJgzo+qy/9pLU3uYYkyNimvGYrvdzpVliJpBVC0BFcBXAFwpuikM0nK5BJijDuowygL2ZkluGgk+VQcWcFJGbdou99Xyu/L35XI5y6FlHwoAKp5VrRVD36MkBW2Wz6ewXmW/y/FaLpc452jbNklu+RiX+2sxxZecqv09X4hBIRiOjo7YbDYz2CusXAEl5fMvx2GxWMyRDbdu3pzBWnI+BNarQyY3MYWARA8xYLMUWQD6RW+XUvtG2TVQrU36F6v5zrNSaU6Mcd+ep87a6jKo+rSPv1KA6pMYAlilGJ1HK3jttS/y6isv8070TEPPvffvYrXh8qUraJ1bt0RHjMVdIkn2Czk3KCbg5IMnRoURi9bJpI61CUxJJLqA84E4Cj7CFFLlmM+eB1GCaVq6RYfJZaeK1AqlDakvV9O0tLZhmhyd6ViaFdILMU7oxqJlRCxstjuOn53w6iuv8N/+4X/Db3/rO/yjP/6n/Mmf/Am73S4dh4rm/zhH8vBcnJWrmASRPbCo2Kj9MAgRqw0Q8AG0TrKqVpGuVajGY8zA0sLRSnHz6oo7N5dcuXTE73x54vrlBa0NbO9+D4tgvMcPE9M4JNFMKZQYtIEYi9ylUMGhI4hook6ryOLVVjElFxtAx1Qd6gHRLRjBY/hgOOSD3Zb7p4HBe6w+Y3LCGJZAB2pFUIFJOySmqi1CTMfDK0JKNP3ZYycFOe3l67lIITOmci53TPagqVT5nWOpCouVwNTMUKnP0dSvety5/QIvvvDCc7OSymQ7juPsaSqAoMQjLJcLttsNkGIIEoBxiKQJvshgdeuVi/6Xuflx3odSwVUKVMrkX5gmrTXXr1+fWaYSzFm2N00TTdOw6NI2d7vdzOQcHR3NGVOHh4ezCfr09HSW3AoQKhN5Dea898QQaBqDd4FFt5pBV+2VquXB2jtVjPJlm4vFYrY5lPed+iKW0OThHBCoTdfAucbNQK5mdOcqGMtnWYOT+jOZxkBaFIJzKSw6peAP5z6rwm7BPpS19lYdHBzM76UwcG3T4oLHx4A1oMSckxjLeyi/qwNUi7+rvM7FgoDZ0xdrg7qk+xZxBoPlnKu9YEqExlhGN32k6+fjHp85QPU8k+En9Mrz3DRNSfa7dHTEoktp1l994ys8ffyIBx/c5/T0mC998XVu3bqFMZppdAh6pkeTR8rnirPEFjg3oaNKeSiqUMEGaFCicFMk5Ij/RMMGnHdM3tEPPbZt6LIHwdgEoCKJVl7qjj7r7MakCkBB49yEMZqxD+hxIhqhaTSHWgGe+OQx13TD7//2y2j1N4jTU/6fP/0eHzx4Ol/ov+4RIfflS6MGU0oUrTnATUMWrlLD527Zopcdve+5fGDpVi1d17BqNbeuWL744iFvvHaLm9dvcKN7B4k9ftwhu1PaboUSxWYciMNIECEoRRCFFyHo5MsSbWh06ukYaUEsiZ6SlBsVPZEJJYEQJ6YYidpi2pYxTmx6zfdPOt483vDkZGQXOpwyyd+U3jT44psCtAcGCAO4ETWlwokwe/5i9jzVR64Et8bcY1rmfo2S0+jPmdIpzFOR+upAz0rim7//yj/u/9+Otml59eWXWa9W8wRce1Tq7KQCtGpfS9d1KKV48OABq7wNkchi0bLbBUSYDefF61Su78IWFNmoBhTL5XJmlgpjtVgsUEpxenqKMYbDw0NOTk7m/axZtAI25krh3DC+sDoFXJVtlvdZ7+PMcrFnPmr2fNHlSrTM9JR9LaAAzsuCz/NclUm+yH0FzBUzfPAexZ7dK6Psc/m86t6FMcbZR1UM7kXCVErNSkB5n8lyYRDliWH/2Uyjm2Wy2jd30Z9VGL4CZAtQLVWF6bMRQgSjItomdrCOxkmZZXY+1oXdLPEPtVx6nlGL58Bv2s+YwRTz9goYr72587ktqbrw0+yn+swBKvhwr9THO8GnlXiMER9T5d2ly5c5OFizWCxYNIbLh4fcvnmL7XaLtXllARBDcqNIMp6LSGZU9j3pFHHut5TmLkGJpsGiRdE3Ee8cqjconVp++BBwwTOFiUY1NK1huVqyWHaY1iImMQbGLHDeEXxIN03RjMM0r1qjd/iczxSjSwyZREQFmAaU0Xzj9auM/+lfY3d6n2enT3MmSTose/fx847/z5f7PvrYG9L350WhlRU+JGgZQqDRisWyY7lesrp0iOoWHBy1HFxacOXqEdeOlrx88wqvv3STywcKI48I0w7vHGEKHC4X+NExuiSrtk03m9q91jilcKKIKkVMNGpAiUFoETqINjlUw4iEgSjpRjj6gNca2iWjPeDppufBk4E/e2x462xkO0RGY3AIXkUQB7O/KZL6Fo6IHxA35O2bjJlS5SchVP79cpxU9pMk5rR0qwGQ6GtRltIT8BwrNUcj5AbhOecqKpl9WJ+Dqo8+rl65wmuvvDrLRQUo1UbmAg7qCATYg4LiOSqVY2lyY/ZLJR9Wh4iaJ93iCSqenlKJVybfAjBijHMIaGFKzs7OZvByenp6bn+KZFZX0BW2Q4vQ5Yy9UlFX/GDWpvy8EAJd182Vf+M4zoxM7eciM8XADGq22+250NGyT2XSL9EFNRCo/VTleEOJarAwJ5JzLjqibLt+/ZoxLCDj4OBg9phBYoDq+IQEsAzGtBkIqlzpt4/GCEGdY+jqdjR10+UCiOtqy306vWEQS2haOumJYe8JA+Z9Ktustwv7as+azSrAsQ4rTeu7VP1eA9q6irx4dc/ZWiS1TwshPHem+TSMzxSgksISfchN+uM1pQulgbHKgKixHUanhqJ939PkE6HrOtq2AwHn84rOB0JIjNMcZFZOi0huxQAyn6DZa6A0YoSmizjf5EqMbKYmEoKftXbbWJrO0i07tGnwJA9WYyyrxYJxdPO+k6VIvCNGjxKVGAqf/FkkGEKMnq3bYpqW1168xd/8zjf5v777Vtpua1LD5yjp4o5kN0+6wcS8lboO7+KHJ38B4Pp5PQTTRaiIoeSZcO5ijgRCHOlaw8IKq67h8HDF4aUjDq9cwS6XYA2XrnS88vJVXn3pJjcvL7nUKVqVqPhhEmLUgKafIgqDmNROiCjJIG40WqeqOKUETOq/GGNAi0bpBhPWSDTgI8FLasIcFV4mUILXFqc7NlPLu09H3v4g8sNty0kfcD4xisF7kAEkV99JAi4SHSqMiE+gKgaPpMLS1Og5+AS6YkFM1aq8gCGVG0RLAySJ2qNz2xrOg6hZt6zDPKvcnjlF/XMT1Ucdr3zhZV66c2c2mBeWo2Z36jTvcu7XuUxd1zGOI8fHx/vQX6VompRLlKIJ9CzVAHNlWdlWmehqKXCfTZWkpYODA87OzmaTfAiBs7OzeSIuLFMBd2dnZ+d8o1bEBgAAIABJREFUNjFGgvcE77h06fLMTu12u/n9FllrsVjMx6F4laBIapJabuV7nYvCMkt3tUxVGKECqKZpom3bGZgU8FgHkdaVec6leJtUqb1volxYwgICa1amgJP6PlXYuTrDahxT1ldirjzr9eG5tj6FxYH0NrU2xKgIYZ8JWL/f8tkWxuxiJaNowxg1ntQvtsei3XAO5JXH1yCnvM7FjLE67LXe5xBS54qyL7VcXUYNQutsq/K6VmnGT2mUwmcKUGlUBlXVFD3fr4t8kX6ZSJP9zfwvIgn/QsAl7by6V1bAjZxueh4+fsL9hw9ZLztWi47VYklbuoVHiL7sa8B7xzQB0aC0SozU3PIA8B632ySxzvvEjHiPCxHngeDx48A47Ah+QmlYLDuuXb/M+uCA9eEhzaIjhIlpmHAhJNO7irk5aTJKRu9ZLVtEFMNwhtIKomKaUtubFPsghJCqO5bxCacPBw5Mx9/+nd/gnbfe5V/+6z/jnQ96dMII2dqs8te+MD9xc3GeX2Msn1KqfswfXX5MpqnZ/1rIRsZz83Kmgr2fP9lYeai6rmWxWHD91iVe/sIdbl46YmWEo1XLwaIleMe2HzHdkivXb3L7xTu8cOdWqth0Z7jdM1T0wBIva3IUOUonuKhRGElhgCKAikQ8UcLcpSZqTzBHRN+AX6BDm1mjCaIiSGQMqQJwwPCwj7z57hN++N5D3v7AcX+rebweMrMUiINPwEgE0RrJMRyKxCaq6JHgkh+GyBDaRKf7/DzvUn/DqU/9C6NLLKSQZbz0GUUlqXdh8ARs9mGNQI9hQOEhCNFpiC0xLnCYbFAPiA5EY0HZtJ3Pxy89Lh0d8eILL6CVnoMfy0Rfs0wls6iAgd1uh7V2Lss/OTnh5s2bQJq0i+xXnp/8LtA03fyYIi3BvnS/BEIWSaZmJcqEOE0Tm80G2EuMBcgV+ab0rStgoTBKBeDMPibvePLoAbbtZkmosCFlEq7fb2GUUoJ4NsZPE5Mb8j5qXPC0xqDzeyjAspbV+r6f31MBixdjAIokt1x0hJy2Xgz95TG1XFVYm/K9VAYWMBxCYLvdzgCnxCoAWNvgfWKi+36bP5eYC5UKcE6LH61LFphlu93MVY6FZSz7VhjCItW1bUNUisklW4BEhxtHdnmh3jUKkx9b90usM65qQFqYpFruK89JGFfNVY41OzUb4yvJszCZ9TGbAXwI9NP4qZP/PhKgEpG3gFPAAy7G+C0RuQL8z8ArwFvA34kxPv1ou1nGc6i+yoh8jteI1R9jeqN7aDM/6rwC8vOGMnly8+kkD4nBQRRKG5qmpWk7tDWgFAlHxSTdKcnZPiQJhpCiFMriPpLamoTAdrdjc3bGbrfFTUlW08biY2R7esbJs6ecHj/l9PgYgme9WrFer2iaBmuTgbBUWGkxjC4wTR6t4z5oT7kZ4KRgu0K/ptVhqrYQvHeYMNDIxMoK0mhUq/jP/sO/zm47cHL6/3LaJ6ImRUB6SgPdFDCZD37IIEql/6mYW5hkqem8N7oAq5QgHmPyRkiMoCKB3VzTR/FaKIW1el51X79+jRs3bnDrCwfcuHrIUgsdniurDhMDm7OeViZuXrvJiy/f4YWXXmaxXOLdiHMaxRJwSFzQqCYBdU3+zGQuVTZazd7rKIEopeQXgvEE1QIdEpbgW8IIzo+E6BJ7ZQxRW8Zt4N7DY3701o4f3408OG44lRXwJJvM03svobFKq9RqSCV2KQHVQMgycgBCcHupz/ss/TlwI7gx9QULLjFX+XzcL0IkNZieiyjIzFRi6hCdewRqYvFRKYgqggpE3aFUiyiF/4Uurl/f+OTvYT9/vHDrFi++cOdn+uJ1XTcXhPR9z8HBwfz3wiYlZrydJ6UXX3xxBg57D47Mk19dTXWR4eq6bpb9ChtVV3iVYYxht9vNE/Rut5v9TMfHxzPgKob1mo2qOy3UffXKfklmPkr1Xpmgy74XE3R6rqBUiQnw+DCBK/f/dINxIYLfN1QulXsF5AGzdFlAV83q1MfQh0DXtudAWTlGtXxV+92ex97AXnIs7N3+OOyBU2GBJE8YIaR7SIwB7wNapxT7BE51Jo8rQqGSgkVS70JNitxBGwRPP07JmxVTUUpqZZXYt+f1ZqzPl9rfVo5BzTQloJWW2rW/q45bKI+tt10zdzWQBzCiCM/DBL/G8atgqP6jGOOj6t9/D/jnMca/LyJ/L//7v/uoL1Km4L0E9IsfxuwAAfbOk7KNCDkfqgCsebr+2T3I4Kesmo6PjzndbFDKYNtuprR9CLnZbLoQjJYkqUFmpTKIkQQ/UKlje7/b8uzxY54dHzPkEtQYI9ZYTk9PeHj/AcdPnzINPWHscW7kyqVLEAMH6hBRGmNtgjVKsVytUKZh1w/nNP0YAjF4tFFsNzumaaTJN6IYPMboeTXUCFjd0C5bTLei95ovvXyH3/32N9lNnvcfbDjZTRyf9RyfnNL3eVU45xext/qEfGSlcFhFQz+fWVRUXZnr7pNwGEMoczciE9FHGgvrpeby0QGr1Qrbtty6/SJfePVLtJd3qOiYTp4RSNLXbnMGznP7xk1efeVFbty+ydHhZXyE3Rgxeg3S4oYtVhZY0QSJiXnSknczJnClJDGNKve9k5h+FiGoiBiNUh3EBj8qxjARdEiSakxY53iz5d17z/jRm094862Ru88WbMIlnA7gzubjojKDZLRJq3BJTFLEECWJrKXILxaJL+SDHrLPynvwE/iB6AaCG1FughAI2TMV8w1bCssb8wcoqdFyEAViiCoBqjBX82WPYaLszl2pn4HxidzDft4wxnDn1m2uXrkyT6xtnrAL21RYE2Bmi+Z7RP75YvBkSebuug6t973vrLU8ffp0jjJYLpfzBFd7WQoDU/5dfq49OIX5qqXIUslXgEZ5XAEkwMywlUm4VPbtM64ErZgrCsvkWyoKi/zXth1lVRyiJ8Q9K7MHAWkB0y7W6Py7AtKKrFeOSz2ZPw/0FI/UrtzrKmBQHvc8kFpARs16lWMtIiyXyxmY1IxXely6n5ZFcFLiigdMnZMwAZTSmUHfX4Wzd0oS4SAqzQXKJCuoVuCDzwvGbJnwEYdi0XTzeVXOkTp/sH6PNSCqK/fSvqTFes3QXYzeqWXrct7V+1+DuEbMp6o9zcch+f2XwB/kn/9H4F/wKwJUaYqvqgL4cEvVOUAkMxaqW5id8/aUqftc7s78dyGGqXr1NFk8Ox64d/cuk5vS5GpsTkSX1AwzRqZpTH2P8munG0UK6k5xCYlh8W5iu9lwcnLC0PeJws3GzXXbwNSw6xp81+AVnI47Tk7PGHY7np2ccPPWbdr1AYv1AUqEfhzZjU/x6CTBSc6WUWl15d2U9zultE9+SpUqeTVSbrBLMRhvEW0IaJz3LFrL1778Gt1qzWnvGIJmDIrd4Hh2uuHR46c8efyUzWbLdtPz9PgZz05O6IcBIngXE1uSsgvSQVY5hRvJgC97s/CUuIny4UUCSmmuXl5y7coRVy+tuHq05vJ6hTWw7jRX2xMahDF6nrqJ0Q0M1iAChwdrvv7GV7j90qvo9pAQhaF3eKdp7AJRHjdZVkICUhIJGoJOwCqiUg8+BaKSj0tQeQIo0oVGmWQm9QGCTIiaEO1BQXDCduf44INn/OjH7/DDHz3i7iPh1F/BGYvwFBWH+Uaqsl8MpQnaIsoSTZv6RKqGgCHkHoXChMTUeyuxqhlpBZfa6/gxg6qe4EbwDgmeWFip6LMcW7xaiZ0KueugSAJyVPJs6dsXlU4SpfjcAuczOT6We9iHjfVqxYu3X5hBVO2taZpmNicXaW29Xs9Aqcg3p6enMxME+8qsIvUVQDKOI6vVagYth4eHPHnyZG6bUucWwb7Mv+4r57PUNZfxZwapsDr1JF6kn1r6Sins/dybr0zMxStVSvittdkOkUBHacA7V+dFiFGYJpfM4cCYgzTn5HhRibFyAUXKM3Leo3MVXfFK1RJUXeVXjkFdqVcfhxj2EQE1GC2gqHiQalasjjKYJTKg1Rov59PW9+ChzpQCazXjmNjl9Pr52pXStsfM+1EzbNGP+OARk2JeREXCNCDG0FgNkoquQoiEGPAuIFExicLa5ty5Ud5D2XbNqNYg9WIRRcj39tozVrZbZ1XVTF85FnXGmNYafEyS5F9k2fmExkcFVBH43yVxef9DjPEfADdjjPfy3z8Abj7viSLyh8Af/qIvVJrbXzxu878v9LmoHyZziOH+b7PExPnf739O/9oDMUfMOT0S08Vy2vd899/+iN/9vafcuHkLxBAIGGVoczUKISI+l7ES2Ze35gvUe3w2U7tpIgbPqms5ODhE6XTz0dOAXa+xwXFp2aGJPH28Ztk0vPv++0n7V4rl4RHd6oB2sUzhoCHggsK5ieAdSo/YbGYXSea+CNjcOT6vgdDGoE1DYy24SB8TO+RcSKX9RnP18kEyU4vGdmva1SHNYsXgAs9OTnn67ISzs4FpCmz7nmcnp9y9e4933nmP9+7e5cmTZ/TDiA/CNHmCc0TnOdd3jhJcmeXVGFBGYU3DwbrjpZdu8/KLt7hx5ZCDRUOjhOAGtJAo7eAJux3GR3R7wMHV29y6/QK3b9/h+o2bCZwEjfOJ6tYqNWTVyqCkZTEeE1VMXxomkzxSXkCCINqglEEkd2qUlEelFLRqiTYKj8O5nsAAxqFMBAfDzvPw0TE/fvNdfvSDt7l794TToWNSQrRgpyeoMBFzOxfEpoIFMYjtUmK66Yimw6suJaRHDVETwwmRIR3HedVQ2CoPbsrS30D0I+InmAFVQMKUZcT56oPsj0N0Ar4qV1AVhkrKywmIhyhZEv9Fr/Bf2/jE7mEfNr5w58UZKIjIDKpqEGStZbPZzIbpIoGs1+tzxu/imYF9w2GA09PTmfUoElUBM+v1mqHfhyaWCaz2rBRpsUiBZfulAs85R9/38+Rdfn4ey1MCPWFful9kypOTEy5fvjxvwxiDH0cQPWdAJR9oKp4Rreeg/sKOpAVtqoQWAefSvbXN1Ytt2zJlUFdXGhbfUWHi6iT4AmYvTvpKqblyu0iR5b3UvRVruaoAqjlN3DmMUkTv56DnApLOV8ftX7Psw3kprgCTPQA5ZwpXiUH2IriQvJBKpduCCh7bJM9YP4246Ag+YpQiOI9XxXR+vkfgRZBTwHCp0ivAuDw2HQc3qzx1CGj9VVde1sCyuvYQyUBTSQaAH/VK/OjjowKq34sxvi8iN4B/KiLfr/8YY4z5RvUzI9+4/gHAhz2mHnN3iwuj/O5nDvjFLcoeREUS/ir/LqCJythe9zgrYmN5dsymn8l53nn/A77759/j1S9+iStXFxjV0miTGhb7SGtTtV90Y5rMIIGTkFq+uHFEAGsNjbUcrQ/mipkYIqfec/zwHv0wsNtsUof0tkt9r5qGo4ND+skRHGw2O07PtkRt0bahaw1hivgQGYeRadcnH46W9HqNodGaGPfmSaMbRGB0jmGccDFizDIdfwONbTBtQ5SeS+uOyXlC7ImbETeesOiWHFxueenqLUZn8EHyasjSjxP37j/g7Xff56233+W99+/x/t37vPP+XR49fIJ3qTedUhqFSgyVJleGJEltvVrQNsKVS2tuXb/G7RvXuXb5kEVj0DEw7M5w40Dfb+h3W0Q0y2XHjZu3+dJXvsLNWy9gmy6BJm0ycxhpO0HFiJY0EVgFQRmUJDYRiYgZmPJ5qK1BtAGVjKBKLIJCi0GJoosLUGkFG/CgPNpG/JRAxq6feO/dh/y7P3+TH775Fo+3kVEfEPUEPIXxcVbbstymmsRKKUtQDdEsiHZJsEuCXoLqQBoQg/KPIQ5EdDqG84mfQZX3ia3yU2arJqKfZq+VhEKh53Neim6bqypJsRBp3/JFWKoQZlMgtbb+aR6f2D3s4miahq995Q3aZr/yLxJUmZhDCKxWqxlwlQmqMFPb7ZaSh1RYlgJ86qT0vL/nDMkAZ6dnhMxsSYxMFctVNx4u94fdbsdms8khoYnFLuGXTdPQdR3Hx8fZ02nnysKSJg7MvqWaxSn70zQNp6enqXHzbjdPwv3QY5tkcpdYvH0RqwSJijGDuhAjR0dHeO9wbp/HVfKT0oS+92YVX1HNFtVAqLTZuujtKZ9XAT7l97U/qvaaFc/XHlQAMRKmCR8jgZRS3nQtg0uBvD44fPCEKJkUyFKlNvkzbxL5XFXy1QCxZhuT1KgIfkziQF78BGY0mh5nNSYDudVqhR8nhnwclEj2Ue7ZoxpQ1WD9orRZZ36l47k35pfH1dJfAaG17FnYrxD8TEycM8XHWr/69YyPBKhijO/n7w9E5B8C3wbui8jtGOM9EbkNPPgV7CdG1cCn2gfSPPEzYKv6d8gLdSQTWTU1lRGVVIxVWtDvBcXZvL5/xbTdCA8fPuFP//RP+eY3vsbt61dZdx1CMpKjdDL2KYjKENxEiA5VVhMhJGYmBqxJoZySb0xN09DvelzfM263PH74kPsf3GcYew7XBwzDxNOnz1C2oVssWBwc0LQd3keGwWFyTeRuTGbMyXu2/Yj3I0YLi65FlNBkE2s/TIyDQ6sxNVUOKfqguXIVYy2NzY2UJdJvjwnTxJWDNT5MuUS4Z9ydsD2ZUMpg2g7dXqW1i8SaOOhEeOXmIXeuH/Ktb3yFYfKcnu14/4MHfO/7P+L7P/gx7753j2fHp4yTww2eadxChK61rFcrvvbVL3G4XnK4XnD92mVuXLnEurNYJUQ3EMdU6j9sz9BqYHlwwGq94urlIw7XK7rWJjN4hOiTtKVzllL5TyTngdku/5zYO+07dHCEGJJEKRqxDVFZIgYlDVqZFNA6akJM3qQYR0RltiGMbLY7Htx/wk9+8h5v/uhtHtx/zKAMsZ1ATsBFgj9jDtJEI7olaEtUTfIy6Q7MCuwC7Ar0AlQLqkG5h0mmzOBnZm/L91xcId4R/UT0I0wjTA6iS8xYrJcXRfbbf4koQgFPRS/PfkBUSF8SnnPFfrrGJ3kPq8fR4RFffu01Ll++PPuNitfkYkVTmRCLqblMZHXz3jIhFSnPez+DmcJoOOcYhmFmlUII7LZb+n7HlSuX0dqijUYbOyd4F0aq5EltNpvZ+1Sq4orZvACUS5cusd1u2W6356IbFovFPNEvFgvu3bs373eZNAvoKHlRZ2dniZmaJoa+x02wXq8zEzdCriIubM9yuUxcqlYElzyBJjNOu90OoxWpsCjta18xc6lXXVPFSuyrKAs4rRPpC9Dy3hPYM3Z7hqkCT3k7BeQowDYNToQRkswWI96nx/gw5ddKxyvkUF6tdWJ+YY5m8dkD6YM7B6oKKCnnQAgBsTYxVTFdq5IXRel5SQGAbA8RQTcNznmmcWIaUwaW6H0Cfy0p1oUFxetWwOdFX1p6jkOpff/GAp6e9/g90A0zc37x2EY806+ZpvpLAyoRWQEqxniaf/5bwH8P/GPgvwL+fv7+jz7qTiaAMr9u1s7zQSze25/3fLWfS4psKJRtJNA946f8NYOrD0G9Bcht+5Gf/PSn/OD73+M3vvwlljdv4kNqNAyp2ioGn3xTRuc5JkkiojViNcNuIvQ7FgcHdLZhHAZ2m3RD2pydcHL6jPfefYefvvkmQz9w5coVtLacnm1Qbcfhlat0ixWr9QFdt0RpC6JxQRMkIDb19VPjyOinRJVPI4HI6Ca6pk09vbTFGEtjG9q2Q5RmaBYoawgS6N1IdBMqJg1/0RrcOOE3W4anD3n27DHBe0xjaZoW1Q3YpsV0C5qc4I4orAidUQSruXZ4iddfuc13fvvr3P3gIT/96Tv8+M23eOud93j48DFjPxJiZNF1HB4e8Lu/8y1u37pB1xgWrUFFz7TbMfVbNv3IuNswbDZI6Fm2moPWcrDqWC8s4kf6s1Ns60E0MSq0aTC6QWuDyeySiELrZIgt55/EiHcKHfbheUoMGoM2ydWZbu0pA0pUwPkxr5o9Ac/kR7bbDfcfPObff+9H/OAHP+Xhg6cEH1AS8O40MWERtE+gJt86iZNNAEkZBJPAkz0B0yZgpTvQTZIG4zGIzatORYzlApDEKpUEzxhQ2age/AgxVQZKdISUYlZdFMnouq/6S5R7zOzdnG+lpJBZz6GJP13jk7yH1ePF2y9y68ZtYvCcnZ2dmzDqeITCPInI7C+KMc5m7MIgFeZHRGZfUmEKSjBneQ3Y+6Hc5Gi7FpFkOB52O9arNWdnp0w+zEGeJXSysGVlkiz7WczyBYjsmy+Hc5N5XXq/2WxYLpecnZ3N7FcJiyz9Qgv4Oj09pe0MSKBtl3nxvM9VKkAzxpi6Lnm3b+ArknufepomKQfEYnQeZyBQGLXiA4N94GUBeRcjHsprJgCsUCb5By9O9PVxFxFMXrxFFYlGY7BIiPhICm82huD3YKI2uBepq0hmMU9cxawOcZ7LYvGZSaqE80TEGJQqLFNyXProk/VkmtC1STzfM6xt8T4BLpGIUfvCAtgn6dfNo+vCgzp2og5gTeeIy7aJPUi7qDZBqSLMUTFqXylYXmc+Nj4wVmb5T3p8FIbqJvAP8xsywP8UY/wnIvJvgP9FRP4u8Dbwdz7qTiqVMwer1XbMhkRHqvziZxbDlRuqyh/MeCzXjpXtSzL0hrQmTz7e/YlJkAusVdkytA0cnzzm3gfvs9mdgbrKNHkIKp24wSMxJulIa0RLihEQjQaMXhCCZ9gN+JNjlDZEH+ebi/MTp/2Ox5sTdhIwByvUasn9ew/Zbrcsl47V4SWMsbRtl6Ib2gVN1xFtSysp7G1rk0k+EBiGHWfbHmFH17W4RURpS7toaNol1qRV5RhhsxuIgNEqVelFYbVYYWhRMXltVq2muXTAoRVOjp+w3W2Z+h3+TLBNaqfSW5UDL1OFWPoyoBrabkW7usRrty9x5+oBv/0br7PZjbzzzrtMPqCVYhpHvHPcuXWDa1cvY1QKxzx5+oTd9hmnTx/z+OEjnjx+xNAPHK1Gbl55gZvXLnN46QqHBytaLUQ/MfZbomiUahExiAarNdY0GF1YgT0vKTF9aUl0M/lGrbRCTCqPCdlbF2OEMDFFxzAlFkD5BRIM0y7y8NEZ//b7P+S7f/bnvP3ee2ynPgFgHfFhBJ3M7iaf6pFUuZRkZgWZPcLvwGuislCYK92AMqkJNCoZcklRB7HQSKVaKGYvYAzEklHlcmZYmIj46gpJKxBVbl6Zs5X8KLJXaq6RlYCodNA+3ZDqk7uHQQpfvHPzBa5euZbkkWlicuMMlBaLBavV6lxlU2GS1uv1XKVXmIC6xUmR34q5vHiuikG7ZgFEBGsMqhPaNjX03Z5t8G6i7xMzFJWZ85GA2QBfWDPYm9EL82StndvNtG1L13UMw8DBwQF938+m8q7r6Ps+5Tnl5salOXDf93MExDAMaKNZmS5LPIaTk2e0zQFGG5aLxcwoJTbH4aeJk90uAdOmwRid7/vpTCxAM1Vkx2x92DNRtb+pZDaV958+w31eVCkWmL1iSuGdJ/p92586UBPATRPa2GSijhFEYUyTenmG9MWUGLaYZ6n0HiRvKx17pUoFpSJGPbObM1hJ2SmpL19IgC/kwh8p5EReLKncAqY20GulU5cHEWJUNBYmJrxP+y0S5gVTOUcKe1fOlbKti5V/RRbdR3HIORB6MTYhjQIa962JynNqMGYlvavp1wSq/tKAKsb4E+C3nvP7x8B/8lF26uIwBpQpLVtyYGaMyUwXI8Enz0bMsc7lAIsIUSJBObSqdN+0oyhJ04JSKsf8JGPb/DO5O/goHxqoYC0sly3L1YKm1Yl90gHTJP9NsqxkStiAGAXBJClQQlrZqGT0HUePCyNKFMY2tIslN27dIMaJ7Thx+doNrly9xtHlK/zR//bPuX98ht6OtGJ5YbFmwGCj4qhbslguoe0IWqcu69EzTD0Rj2k007CjbRu6toMILkT6YSIyYlzmRTJTZbSiayyN7WgUxP4UN0yMfY/bbdltzhi3p/hxh1bCqm0Yx8B2d8bYRyatMK3Fdg1iDVGnfKIQhSCG2K8Qv6XrDlmYhuWq4dq65YVrb7DrB3bbTaKjYyS6CT2esj07Y+o33L/3AQ8+uMvTJ4949uQJ0zDRdh1H11bcunaZL9y5xXJ9hNgG5x0xCm2XbmiKmA3s+4Tjuaw7ZnCR5WSBBFRKyr0IolKblZjPF+dTU9E4ucTcZWk3+MA4eZ4+PeWnb73Pd//83/GDd9/kuN+CCWjlwIP2+ZxW+04xRVFTqmRc5fMvTuAF8QqmvUE8KEswCyTnRCXDvCaKIqIp8R+puKJ4qnKVn4+Qy87nQgCpdqIY22NAQpKsJUzE0KCDR6LChZx3FTQxPE+k//SMT/IednRwxMsvvUIMSc7qujb3JfPE6M8xT3WlXslKKnLSXL2W72+1/6frOjabzeynKsClBmBazfHIWJtYqug91mpidDMw6qxm48PMPBT2plwfJcZhuVxireXs7Iyzs7MZaBRpsTQ3LsCj+LEKk1XYjMJulTBQEcE2Bh8djbZ47zk5OQEEpTxtu6Rt2/n4ej/NUQllP7VSqbpZKZSx9EPPZrvNzyvsmUbrZj5OMcY5y+tiSX/JiCo+NdhXABYWL8YUKlpLs4W1UUqla4S9ry3dQ0CJRvmI96V1jkeblsbEc/EStYS2B1nq3H7qfM35mKqlQwEmEWR9ALOJJV2fShRaRVAaP06opkXpFJIKglYBa5PFwbu0zWkCZUo19vmU93I86gKKGoTWfq/02ae2RzVA2r+fxH7P1c5VQUA5DvUQEbrG4vv0vj/p8ZlIStcmyXIyawwkxUIghS3GFMsn6SSRLNsopYjKY3XSistNKI1CF0o6iSFlFgbSCZgr9GJUc45Sed5exIWI4tbtm7z00gsYq9gNGw6WC2ynmfoBozRePMF5AhrRTT5hPMM4ELxncgHTtuA9m5MzfHAspJzQlsMrV/naby5BhCvXrrE4OGILpwrXAAAgAElEQVQXFH/0x/+ED+4/ZDdN9CGydYGFMiyOLrFYrnCAC54QdGKwug6l4ECtEnVKmfAjMZakc8E2LV3TobsGbXWSXJVgs0H7ZLOh35zihy3ip+RljhpIFYDKtFgV0DE1bw4EVBhhnIhBoZokLXoE5ydkCPjcINq2K2y7RDctVitaUSxVkh6Cc4xjz+70lHtvv839u3e5f/8ezx4/Zrcd0cpx9eo1XnjhKl//+qtcvXaV1aKlay0Yy6Z3hGlELQ8QnxgXoxRWa3SWs7z3SMwp0ZRiCJkVLJF0Eac0+4D3EU/yMbjMUKkQUpxC6dsignOeR48e89O33+a99++y2fSMY/IDSIwQYrIdxXw+l+TyctpldDXbw/PzUqJ7js/0MMrE4JOkiSpgKrFUknOiSiI9maXa9/uLSPQEcdmnEfYvNpvZQ3p/2X8lvkH8iPK5/NFP4CStgrT+NOOpT2y8dOcL3L5xO6/eJ7QWhqGfE82b1sxMUpGZuq77GZ/OxdYvtfeobtFSksiLDDe3DzEWa3QGWOleWRLFyyRmTGJsgkvJ++PIDOjqxshF5js+PgaShHdwcMB6vZ4T0wt4Ojs7myfI4+NjFovFuVT2wsaX6ri2bTnbnhFyAc3kPeM4oK3FGsNyvYKQXjNVqQXc5FBKMNaicobVNI14v5fMvPMZTKaT0mqLIIyTm2XHMuHDPveoaRoODw+B/4+8N/2R9DqvPH93e7eIyMzauImkKVmS5Xb3AAMMMMY0GhgDjcZgFqD/45lvjV68jGyZWmyZEimKZLEqt4h4l7vNh+feNyKLFN1jWwYtBkBVqTIzMpY37j33nPOcI4zLixcvgBNDeD4xGaPwt3UyE8p6EZIw2oZixpe1JGXxeeVyQFPnUh2JnE8ThxVo1SDTdS1K4rVKwdMoYddiksVK5bMsK4RdzimuDLMo9PIaRZRAvZTIRLIRwFmDn51r0FoYr2zUevg7Zz7rdfLq0MH51F79nvr91U/lXPsATEkKvGT7fZkMeM5ivfr1vmk4FG/iP+ftXwSg0qYSUzKXAAgzQIZUmILy9xVQGSMgykh55ElvrfGg8nMpFUaqAC1lyv6RMyolclLYLAAoprxG89RbRuMah7aGEEoKtkqk5GWSwRhMVESVSTlggtyXUOBHvA8s84JrWrlgi16dlDzpafFE1XD57JLdxZbN9gLdtPzbP/kTXtwe+NXHn3Dx6BFPnj5lu7vg4uqCYSMBcVkp/BxYllkyp5TCWofWQhXHsKBxOKflhITB2gZjGzEj+pkUVcmuiixl8z3e70khQFZoLLbZ4JoeYmSZjsSwgJoxKkqnFkKDpxiJQWGTQ7cdxjhKzDp5Vvgs9DMKCZtrOoy1RJs5snCcJ0wcaVjobSIve8LxFp1mdr3m0dUjvvOd9/j2d97jybMr+s2G1jUYrcWI3hv2x4W7m2u64QJtJQPMGC2TM0pkzUzxCcDqwwCoc7kxemJO+BjxKRBTKpUt8m3V5xBjxAc5j07zxKfPP+ejj37FZ5+9YBwDMZZrm1za40sArDrR1erBtSY1P/Wr9VfW/0xGgE9YBBxriTnIypDLd6nVWF4ebi5MVYlNEBGgslOr5i1fL2CKKFU2KnhU8BANKoikS/BgdOkQ/Jcx5vfbullr+cF3f8CTx0/LuP9Y8oHUull3XQcqrRvLufepnti990XeH9YNCliZgSqj1Om/ClAeeIsQ1jWEk5dJpUyIS2HMStlwjIwHqZmZp5Hdo8fU6a1aTAySGVUN4zFGnjx5sn59u92ugKkGiVZz+3nXX50OrM9ls9ngnGNalmJ98OSsSFniVJrW0bYN3gdA4eOC9oq2aVDWnhiQFAnLXACieEJPoZBSATbtJ/qmxziDjpG+6ciKlVk7Z13qa3r+fGo+WGXEzk3/niLXZ5lYVllYcJmiFgsGFHbqDPAAYgTXWpoMciL6SFwyPkWZ0jsDKqYAHoleWBgIBJ8Ii/SDGuNEIswSjWyUJs5HojECpnIWFkcprDY0dWKuWAOyj6jGnpSdDFpHkha2Kxb2yxl99phO8l89BNSfP5+krIMUDwctqv8sr6AzZx7EMtTbl8mCD31dmr5pGItn75/r9i8DUFm5IBSiOWcKMi8YKqvTn0qpdXpBG4O2CuwpK4T6JqDWjU9p/WDKz2TWCySqLNlBCXJQYtQtbKRx0LRiepzmkSV4rLNoo0BnXOMglBF7hAoexyNhWZiniakkGU/jgmsDF5cNu6tHKG2IKTPPE0btCPOE1wbTbzGbHQC7Z6/xH/6P/50XL68JPtINAyhNP2zLFM/CAszzyDiOLPMkwZ2mfhAVtmkAXTRzh9WlWDQG8V/oEWcNzkimVfIRlSLeL+QYMcoQkQiAaRwhRdrG4VxHp0ZMiTtIGdCaKLSYsFgqE8MixAgRnUTOzdpCbNdTlDEagyVaw6zE39NoePbkil3/h3z322+Xmp6Ftm14+vgJlxdbrHNYY8/ed1nU2raFJYsht1HShZcLKNF6JcJ1WQRWMJUp8kxhpoqUl2JaC6B1yYyK6TSOPS8Lc4z8+tef8NOf/g0///kH3N5NlEPmumjU4RStNTGdSQJngOrBTRWbxJd8XRd2SVoktLyuGJH8tJVTeq6sW14/E1I1Ucoc1JncV7+nnIRVEiN7DjPKG7RXaKtIoQEbpLOwALBvKkX1+NFjvv/7f8CjUvJrjIy51/H5k0QkHplzb1Q1lZ8HbQJrLtU5m1KBU82hqve/lvoim2WMHu+FOQjeo1GEFFaPVtu29F3HYX8gJgFz2+2WvnHcHSeGzWb9HcfjcZ0mBFYp8nzjrL111U9TwUg1KQMPNtW+78kobg9HjJLPUttvGKcj81wDTi3z7FeZK+RMo4QNOpUaR2LwLLMwfVpplmmS9XmZUFoxzwEdLVotaCu9g7NfiJwAat3oK8t2zqhVMHVeIF3fjwpW6/5iMGQl9hKjFdKRmtdDPRRZrjBKRktuoF9mUhApPiwLC5lc1q8qJVqbMMbSxJm8jCSlxThOwrkWswagCh9ltEL7Ca1aAgqSvFYpZbFiKDl0aW0xBkLM8hiMkdVDjSSV0WhCEg47pERaAdcp2qBeBzVCob5G9Xo9MW5pZUaVApnAPLFX55EM9X2pAOqBzHl2f/X7G2dJOTH7f74k9X8xgKrQBSuQyhnxqCD/LpN+pf9NiTaljCabXChL0WAzeZUGKwmq1WkjFbDGSjOmmNAkcpRNaP2uooI0bcvjx0/YbCQ35fbulr61+JDRUaExoATQpZQYp4llnvBeFrNxnHCuY3sh5umm69HGsiyepBUpwGbY0LUNbtiKARkx6D978y12V1f4JZCAxQdiTBzHA8dxZJw9KSdyClhjUFYYO6kxSWKGLJtlzXWRRbFSLZl1i1WJgCdmj9t2ZB9QKQOWwTpc07LMgZQiQSnaNEtZqWsEEOWFaZlBZbS1GKUlpDNriR3IcpJLqYSIojCFOdRWqn26vmfZ3+Max2Y7MI9bxt0W72dyirjGsh0Gmq5HWUdWhhAzKsnz09pirZyssrKrryEnia+w2qCLDKC1Zn23M1JSvSyCLVT1NWmcsnLSU1WVywUoyXvuY+KTTz7lz//fH/IXf/FDPvzweVk8WX19qXQd1vPXOQSpTParuOk3Aq2zr8lVHck5ULdl8TUJcwUyASj/Ip+NUvIDyMRUrh+IlEgxonwA61GLJ+sZjEF5A1aRbAcxFn9VYd2+gXjq27/3Hf7w+39YLAbiVfI+rYnldXLMWBl7r96c6rWBk4xUwUP1MNUNtd5X/XpluKqvaJqm8rkWQ3YF+H6R7DtthJmtAGI8HAuqz+t9SA4UDIVdmqZp9cY8fvwYkOu3FifXicBzH1jTNOvX+75fH/9nn322MhjGGJYgw0VN00jeXhAWp5rD6wYtzEcS9jxlaFo2rsEaQz3pVgbEe89UWid8WGjrYE7SEg9hDNqYwi7LJ2AYBkKQA+U5SKoyVv23Cnpr7ML5e+i9x2lZdyiHaQlyXlBKE8JUQIFajd2pAMs5Jvw0M88TOidUqYJxKbI0EuNSfVsqRa6csMveWVIWybNNYJxD6yKt5YRSFqM1yiqss9z7EtOQEzlHtE9l+k+BrhKhDGqZvGDTRFQKpUytZC39poqco3g2YQVQFTzVaziEsIbMnrNU9XUNIdAYLZK0quaGU9L+OaA6n+6Dh8zVOeCCcu2mIyE+rLf5bd2+9oBKsNHpxasvVS4+k5TEEFyGD2TDVrno0uUHyth4LoZ08QtR5I9CF76yneWym2iC2KaK8p5UJscoKkgGbSxXj57w7LXXGYbNysbYfkB5BQHysrB4z+3+nrubG1KUE6EylqbruXr0mMdvvIXrNmQfSAmUBdcP5GTXSZQABB8wSj44wS/yOI0mhoAP0sA+LwvL7JlDwtoqaTkxNWuKbFrZlwIyz5Lma4icokwcliRx8W1knDXYtkGDhOdRTlhZKMOYMt4sHOPMPB9RKpOiPD5lFCoEsby5VmIVbEdOEgIqpcyZnCXF3GJpjabpDTnBfBhZJgGuMXhc09IPvaTBp0C0FtMNGG0L0NbEpNC50uvlFFUkVquNsFEUv3WOaGNWYFQBhUJ69FISdopy4lNnRYWxlJWqwh75ELi+vub9H/+E//anf8Hf/vyXHMeAthUgqfI765VXm+RP1/6r1/36/8/+4QG2UhUEfjmSUQVkSSny6b7rdyulZKSborOvD0RBSGQdwQaymYsuq4lWSYWF20KUzkRSKWT+Bt2ssXz3O9/j7bfeLnJW4v7+7oF8V2s5rDM43a7+pxP4cuumUOW/uonW+zgHGFBHyk9yikIx9ENJP08oVUzBkimAbt0K0F68eAGVDTfCSuVc08wTKY3CKljHfRKG5urqSnxW6QRg4HTNnbNQlcGpzE7TNBwOB2pPYNN2+Ii0JsRI2xUWo/yM0a4AzxoTIQcAax3zspCUIhrxHSqEVXLWQs4E76HI2JJhBHjxALVti2saMEWKUnKfaINS8QGYqmxifQ+q6boyVBUcaDEUsWmsHMJzgjSRsnTmpQh+kfqXlM/iFGJYD1X1cTfF39m0DqOgsZpsHHMnTKGaj+wKvR20Q0epMcvVP2wMMWTJDmwa6hk5BZHrtxq8M8SsIWZhrxD/cFICAHPOmDxiUiQrsyo5qZRQKZUxukQ4xADaPPBSVSm6gqEa4XHOZMkAw0SKHp8UZIszhiWeZLxzI/o5qDoHW18Wo1D/G7qOu8Pxn/4D/yW3rz2gskbR4pBo+YLmq+8ji6ckpVWVkAuivvgU45+CwimUM3j5glKFDmXdvXKWycC6YyldxjUR8JWzkZHXlEgJrHE428rjQ9O2G8Dgp4XGbVBWNmubM/12K5NgIdK3LVobrGsYhh3OOIjix4lJAJ3rezQNyzJzmGYaJ6bvlJHspSIBzPO8nsbGcSyLmcZVliXX8tuMzhpj5aRRXxZdqF5KArFgzIzRlhSjhMoBRjsa7TBG9HetoG0NuIbUNBLuuSwkv+BNgEHLyG+SsDC9KDktEVgmT/aenBSua4Q5M5JerrRmUoYGRcyaqAzWSMXN9tETjIKL6Qk3ty+Z50myXDqRXT+5ueMpDZt+QBvpLjQ1piFrQoo419B1PV3biCyotEx8pvpcBWJU2a9cGdR2dxDAeZ6rX1/HED0pRbxP3Nze8MsPP+JHP3qfn/3s7zgcF6wTwAkU35TcVAH/McUVIf0GTHT6/nI7/7avAlN/700J2BYhQpNyOYbGjIq3uC4BgaQDSUWSVmAdyQeSKXUSMa4DHcRvDj1ljeV//Xd/gtHVQyJsLchm3nWdmLNzwjXVe9Osn2HvF5HSsxThVsBTzc110quyIvVzXjeoc9C22+5QZKbxsAKMvmk5HPdyoCrltMuykGOi61q22y0XFxeEEEovoEQL1PiFHALZWEwBRTnnwv6YlZU4j3U4H4+vj6uWNUMBYcqAbui6lnmRjfewP7AZBuZ55uLigsY5iVKYZ/puoG0aNtst19c35BLRkJRiSdCa0yi+UqIyVNnucBwxWnL5rLXEHNFZmGlTQiwzchBqun5lgaokWmW++rqdT1dWhsUZTW8VSRmxMsSEn0eWEGmaVkKckcEPziwncfEC+qxBG81gO6wxdI3FGY1RCpWk9iw0mpwmTBrLFHHZ50pAca2fSbFcE8bQNk1hyARgyromI0hJi4/UGoNCpq9j1sQMTZpl/9MGHwpnlGOZXymtt1lY1pQiOUXxvZbX6Xygor5O59N/cGK0UgyElFAxYhESJeaHAaLnt/OohHNg/2WAypwxWL/t29ceUA294fFlIyP2SWpUashYiIlpDoScCVVdUBkr2wGgBLGjz3YguYgl00DYBUVhpOrW9GCHKmY7BRkjIdARkgqQE0obun7DMFzQuIGYJHXceoVKnbhZQsCHgDDUHbSKriQIK23Jul6UImOmggQjMoqfEihlRKoKEv522N/JOP48My8zOSViCMzzUk5L1QJTTPjlAtZKvES6JJxqACWZRblQFcL0aZSyRB3J2RSWS8nCkzw5BlQW46QQWuLNslYqE5KWKTNtnDAvodx3Sqjg6bRBqQRxIuxnkt2wu3xC00rQXMgZmyCh8FF8alpbtpdPuLu7ob94zPD4MeN4ZH+4Z/YTXb+hf/SE5eWeu+OCc5kGjW7AUh+Pouk6uq6jKRU0JLXKewmhwlVKZ2XNIv36ZSYmGW3RVS5QWeStEAhkQvRM85Hr61t+9jd/x3/90z/lh3/1I15c3xFqvIf8CMU2gSnev5Rrg2S9Un/z7cswk1KnE9zDfz9jeL8CbJ0A4hlhmQEkr0rHPYoFwx0xPyfFC+Axxr6GNpeocEkOlhTb4t3IX40Kf4dum82GoR/Wc1oqfruuE5nGe8+8TCjFA3BUp7S0llBOYaVksqyanysoOB6PDzaqukHVbKf6es8lS+rq6or72zvQisM0Mk3jOgmotcYZi7WG7XbL1dUVUCWWvBakj+O4MgkyCcYqhwErU7PZbABW/1b1G1UZsF6DlYFrmobb/Z6sZpZlXlk4CUHWtE3D7fW1eKOM4fLZs1U2vL3fE0Jkt9uhtV1BRUy+xB8E5llea2MsKWUaJ0BwXhYyMiQScqTrNzgjLPU0T9wVkGaBZZ5WQ/15vyKwvg9QPlNRhnRyiSrIMTIe9szTyNB3qOyBkv1GwlhD4xwpSlKc0hpXwK9RlMnjwn+XjK2UMuP9pzSNJZIIIZJiRhkt0y2lw4/qaSrTnL4U0StSsQGU8OCcxBuVE44ygYgma0PKkRCkYqoOMiXKGSlIeHEubJVSmagyjTMkXQ3l6guvUWVeK0NVgVadys85SuwKiDypTn62es2f+/TglHNV17U1Ef7sd6UUaaxhCb/9bKqvPaC62mqeXKjCRCliUsSoiSkXQKXxXqIHUqxmc1A6iHSVrNDBWZ+MvECt9UiqjKwCqz9KqcIeRAFUWa9Fm2qVEkVbubne81d/+T5vvv6M1lqaNx4zao91Cu+PWKNlWjAmlHU01mGKhBRjLGDrgDYL2jWgDLXoMelETBHvA7lKNOU0Oo2TTO8tC/3QMx3HMskSALOO3tYxaOc6kagK0BImI5422JzX10Ceo1kvdLTFFs8FOYlpVZlyMivBkKmwYrbBkEhsaZoeqxKGSFom5uMBv4wy4lvCTUOCw+Qx7YJS0HaOKWl0FtN6CAbX9+V1UTjbctk2JO/xMdBuDWYYmJZJTsfB0+z0Cg1iUsxLRLuItjLt5lyDtQ5n3eoX00XyVVlghcjIwtbkKGPZUzmtamMwjZj4FYqcAiF6Qgwcpz2fv/ycv37/p/yn//Lf+PM//0t++fFLliWgtLBTqwG9+K5S+b31ElybYn6DrPebgFZZS78UVK0/+1XmK1YBuHwSRFbX5XWIYSmspiZoTzIL+Bnlj+jQYsKEDobsW7xvCMZ95e/63bopDoc92+0GY07ZSrEwvMEvZ6GMJeQxBKyVyVoQ35NSiu12oKZZV+B0e3srsl3xWNXNooZt+sXTNg5USSHve1lrjBaPYRZm5uLiQiTHIs/sdjuMMTx//lxY265bwdXJ/GzXGIb94cBUfn+V8+pzqVJfCIH9fs8wDA8ksTUI0ziM3bDdaBY/cjjsuby4KM99gwK6rmdextW0XkHZ3d0dyyy+qr4TI3s1248h02RfAKompcyy+AdhkM5apnkmhkDTtUios2y6Sml2u4FpmjlME6pIVOeved3AzxPhnVLoMkGZUiT6heP9PRDZbQaRHcNC0zUyNW4b2saVCTtDW9LZnbXEIM0aKRSpLEaxdpBlDVFSJp+JhQXNpa1dPKKp2N3LG8i0zFL6bk9p6+thG8DIlKOhHIydk4YMX2ToonI4rTDOEpLkeoUUiVleuyA51uQccWSmrMQywMNgz1fBT/26vDemgL2yP+cSlKxZ/VkVnJ17qup9nJvRT1OJWSZEc6JvXXmsv10bwtceUL3x2PD6I02IEj6ZkryBMUKIiskbvJcashgzKQuVLG+CQ6mGmg5dKwjiilyTmLbRBVixUp7CEMV1k6IgafEeaWKZ9ru52fOf/8ufcXdzzYtPP+F/+eP/id9751tstwPWadrGoXMiR4+zhqb0L4VlYVlk8ibEiDGOpusxVrwJIQImyskrRHzwZWqqfLCVQpq2NWFeGI+HcsHJyaWxDa5p6LuOxjUYa4rGn9bTc4qZGD1pTZWtGV4iCa7xEkqmLInSFxVDwNTML0rOhFFFV5fpoaQbobZVFkaLhLaR1jjqtKY2Dp8y2U5k7XDtQL/Z4kwHqZUuvEKnW2tBgzciM0Vr1h5Eo2C72dHHQPIzF48kLO4wjhzHmZQzsw+YXEJUEXpbBM6i/kLF0qTyvueiJ8cYCUsoPhMrVQ6hWLgV+JQIUYyr43Tk+uaGX/zyF/zkJz/hgw9fMM2x5tGeGKACWSq+EXb1lYv/N8h6r5I+X8ZovQqqXvW5/MabOoGp6rWTA4mEjuaQCgiUiUFcT1hGcruD6DFVblf11PzVAO535ZayFJ7XCAJgZWdSDgzDwGa7Wdedly9fFm+kWz06bdvStiKdhxAL+5LX7Cc41ZdUBgjg9vqGrmtpG7uCrKHrCdGjNatZ/fLykk8+/jXRB5Q9MQnTNGGtWwFD3fhqLU6NEgghiDxk5TBVJb96rdXMpmVZShK5Ls9J2J39fs/sM8sYadyIyomh36xTXcF79rfyO/u+5/Jiy2a7IQYxxF8+lt5DaxqMs8yLZ55mmrZEzdiM0o6+JHpXNmn1qRlpN3BtQ9byO5TVLMsESgJUpVvOiwVAC4g87++Dk1FaoWiUZCgJqIss88hxf0ffynuQU0Ar6Uw1WpGNom2bEtFSvFslhJQiQfplFpkvi59KJDRN256kNEVmKeb2FGt4Z4Qse6QxVjyyWmInUiqTyxRyIUMubRDZWAFs2WCyIodQsqksxkpMaDJFGrQaqyEk8acu3mOVIWklCkpONHlmVpKA/wVvU5n81eYEUtfvMbYoJmUFyjJZnNUJiNXPz4ndUmeg7NxCoZBQybqGSX/t/WH8ra4DX3tA9e03Wt566ojFrBxSwkc5DfiQmZbI4hWL14SYijk9n3D6uttoYX2SKVOCipggxFgS0rPIbXWSJCWWDEtqySRizkQySUmAY92JFTAeAz9+/2+5e/k5H/7iA/7dv/1jvv8H32d3+Yiry0vaRibB8IEYYJnEWG3LKUooawXLgg6REAudm6a1yFc0+7yetoyGOQRySlzf3TJPI65Q/ykKxWmNgC6lhDauUxeSdLuUi1xkg1jC1065IRYKWJKnWs89sYSqqhXUlXS9kpobUdqiTU+KC4tfCEsgzLN0ANpGPpTG0vQbetdgt4GEZnf5mG7YEUyPD3r1eEgoqkRhZJtPUpKu2UoUo3mHGi7wSWTWZjOjJmHxUpD3WVVpk9NJSZXpBVUoeYkHKB/aIJ63GGI55WuJ6cg1rBV8CdtLSRLybTGvirleehyjkjFkFORTYBW16PQBsKqX7G/6ULzyhfozv6k678uA1ZfdcgV4uY5gCEtbjiNFEk6kpCFKvAVxJns58RM8xICuKfOvPJ/f5ZtCsb245P7mep3Wiyniw/xAHgMKGJLx+NvbeQ3s1FoxTePq23Guo3a2vTrJZEoYrTUa+nbNsLLa0FqH9zMxncI/Qwj8+uOP2d/vSw7WSXrJ+RRSWUuJa+5ULQzWWq/TelovPH95jWlahmGg67rVdF43tipT9n1PCIGbmxuWZLFNRzdYnjx+xNC1DENH28rjPe73fPLJJ2U9knR1f+159uyZ/H1eILOGno5R6msa50i2VKdYx+Ew0+hc/DqmSIyWru/oh56sYH84okvgc9e1LEsQgFiGVJqmIXjxs9bkt7pe+AIiGm3I1jIHj18WpvHAMo1c7gYaZyFHmkYeny7RCYmMK1JWrBPNKZF0WU9SwiqR/yCvEul5fQ1ZJtObtiHlk2k+RblPrTJN6wozdG7clutUI2Cj1mhFpRmzPG99BhrldyMyZtlMU07onGisKYfTSIgRZa0wQCGgY4A8E8zwgC2i+EspWVP1OVVQDrW1QuS/uqYqTmzUecp6/Sx84c8SRCx/l9csIrmTXdcyTb+9wM+vPaD6/lsd26EYBrMipEQocl+IieMMPiiWEFgCxCT/pTICXAWM+vMpie02Z02IeZUPBWxRQJu0fk9JsURZjGIIhLDgo8eowJzAl8eYgXFOfPDLa55/+p/46fs/43/4H/+IP/zX/4b33n2XZ08fs+s7tn2HJjHu7xmPB1pni5enQSEVMT6IxBf8QvKTlJdqI0yZ1hIBkWGeZu5ub0g5c9jfy0U7zQxdD0rJdIcSuTEGD1k9OGmpDHd3txijcMYSlgWcQeuGcX8EFTFWkomNteWka1BaFsqUAzkKQ4RSqGzIRGEIUYB8r8i0npgb8WG1TTHWJwKOxnT0G41xHcPuAuNasqfUSsIAACAASURBVOloVYYoBLbV+tQjF6LEYqiz6U9VmDUkc0c7S7KWZB2u3ZBCmcqZF/w0c313kHT3jaZ14mWrxqaMsJYxRqnlKOyA0tC0VgCmkiuqjh1XAB6LIbRxDcN2S7/ZopRU5GkrJ3sf03oCWwPNzq6jU3gCZ46m01fhKyQ/WOmruoidU+z/PXIfVDX7xFBplU5mdZVJ2UNeyn8enUucRPCS1ZVO9TXflFsmc3NzLdJGBdwlT6xGDqR0GnhIpRj5FJYpbHEdw2+cI/iJECkeltPGUzdFo+U6qhtTCoFkMlFLgMzKUuYsm3WU3yNnEV0m9TLD0D4AfRVcnftcaghpSonr62u2fQeuWeXA8x656gULIQgIQxN0x9PXHvHuO+9ydXnBW2+9yTKJJcJqzf39DS8+/5zNZuDq8oLPP3vO/v6ezz77jM8++YTNsCEn8Yy6JmNdQ+NkKs9ay939vQR2zjM5QessbetWRiOUAQljDbZxHMeRFCOda8QLmTPTOJOUqAV922E3khgfwkzOcfWsOW1JyL4wzRPjYY9fJoiBp4+uMJoysNMUf5ZcIdU7No7HAoDKYaoc7owSc3jXd8VDdFaoXGqDquVDvt8Ik1X+izqiQly9mc5aCa8unmNyLqSx7IM5ZMiKFDO6DF+d+5SA9fUTMJeIi18z1cR7m1l8kMNhzgSridHQhMCkIkGXeqAkFpxktKwkOYESZi6fSXk1zgIMRksIayj7TM6nx7N+7vLJfC6PW+q5dPG2JJVWCTTnjNUWayIh/nayqb7WgKqxiveeivSUynIfszBNsfipDnPABwhR42MWMJVlQkBajarcJ//FQlVmND7k4snKKxALsYI1GIOMb3qv8V6zLJlJRVSO0g4+1uoAiNoQlcUHw48+uOOjmz/jL376Ib/39lt8+523eO9br/Put15n07f4cWQ83NNYy6NHj9hud1jr8MVUvviASoHeKJwG1zalW0k2txgjN5+/4Ob6Wj5IqQbdecKyrIm6xtTRXVVygdL6Z4iBvm3lJBACKYgnKQaZOrq67Mnk0iuosY1MHTXGsviJxnSQZHIk5bMagaL1h+gJy0zwmaRmsk7orqHdbtgMGzGHKoUqPibbDhjXk7KwY1YlKMZ9a21578vCoARcKi2UtlKnfsYUpZOugghrLNpqurYl94llElAVY+Z4HIlNpilBdDEEMBnlxNxkjCInoeYlS0ytuTjaGPn9xUunokz1xJSwjePJ06e8/fY7fPjRc6ZPXxITUoyNOul7Z63eX87knADQA6XuC7gof+GfvwxM/X2y34lRKmCvsFWrv2KVAyNJRbJOGJOxOuK1AOqco8jhOZXohG8GR1VBkzGGbGUzrH4iqAxTCbpNpyR0ub7FBjBNwlZ1bct+vy+gpyVzqujIBfiLTFYBE6iUsc6WJPZTM0SKSSwDfllznyTXqlmrb84n9Co4qsxI9T0dj8e1oLltW5Zl4bPnz7l69jo1n6ka1GtwaYyRfrPj3d/7Pr/65Ne8/fbbbIcdu91O5L/jgcP9LV3reP78Ey4uLhi6jtvrG0iRi92GFB9xfXNDsUuzGTaEFIVFspaQS2CoMSStySWl9+gjvZFaqZgrmwHHw4EmtDLAUz2ofY/WhtZafBBGtnECqiTXLxPjIgYH5QjLzOxHjsc90/GAn0apyeqkLstaTdc1OKNKn2tClZiAZVnY7/eFZTLr6wy6AJW2pKmn1X4BrB5XmWCX1o1Uev+U5jQ0YOSaq8KBMeL/NcUrVhk7kLL3eZ6ZyySpsJyeagYXFqiWO6siJ8v1FRaxP1itMK2V41dW2DOw0wfPbQRSQrEQqr8i1SzJ+tkQguPh8IysjEJ65AeL2/k6dv4zUgJd7ByqfJ826/1Jw1bEljT9f/A09FfcvtaA6s1HlqvOluknWdFXaS7LxEFnRM8NURGTlsgB6hRVmdxT8vOxgKqMJiuzgrLqyRIpMcufMTMuHXOITAvMc2ayWqYhomyg0cMSKTKj1HVkYImK5y/veX5zx49+8gHbvuPRbsNbTx/znXff5M2nVzQGLjYd3/rWxGvPFrSWi1vC8yK90+jdQNc2YoBWMvERvGc8jnz+/DPGcRRfl1JlMscwtiND15KsJmm1pnfnquBkCZwL88LiJYpBmFFF4xy73ZambdFacltU8VVpozA6o3Ti4mLHMk+QDV1Xxrbjsn6oXaNI2RNmKb00tiEsE8Om5WK7wxgFLoo0Zi0hJpRtwTTEkNAZrFLYcgLWZRR6CV5OiqjSZVfYXSq7BHPwRdpTBUyJmVLGghV92+G7hXmaiUtgnEaCtaXnzAqY0hQIL1xA9p4wlRA/rTBdVwybMoljsJgYMdmBNcQMb775LX7wgx/w+ct7DtP7fH59Rwxi3D9Bl3/YB/qL60AZqsj5S8DW+c99NVN1LjuWZZsaf3vK604oFdA6g1Y4o7AGvJVMnwdxbt8QMAXymjpbOuTKIcMUhgdYDzk1wfyUDq3WMMgYxG9Tp/mGYWC/35eOsxZyJsdTdEfOqUyFSb1WjQlYDbqxTv7Oa6ZVSulUM1PYCDjJkef/P6W0RikYY9aJv1q+rIDD7Q2uH1aQ1fc9Sil2ux33+xFjOz788Jf0/UBjnZjlm4aubfn804/LoWuitZbkF1RWOKuZxwhZc3V5xaNHj0oultghVIZxlML0FMXArYwh+QWK3EjW+BAZp3uxAzjLNB1Z/EJMHqNh6FqscUyHA9vdBdpoiXcBiKmkiIuHtW1bdDbs7++Yp4njYY+fR5Jf2PYdrTM4Z3BG0bfNyT6YM8pKrdU4TRzHkXkJ6Jzpe1cAruRmOWNo3EPfnFKy1oWUiSEWPFKk3BjJMa3eML3KwJIQvnqTdDn0FYkXwJShI+cc7iwSQoYpUvn/ACUvSiuWJRbwLwnqOQZc22GMFjUiZ3wUE7k2ho4ON02MURNjQ56LD7j4mkQ8Kp49I/twThmf/Bp/IRldZ89FnTKuToCoUC6Zsg8Wv3Sd3K/+zzM2y6AIvwVDwtcaUL3ztGXXtkW4q2bYWmeSiSnSa0fMSUqAz8CWyHtly9ICKGKiplCtoEt8xwLEQhIZMCQxt++njtl7phnGOTOOkYMJtFozWinRHaXzlyVlEoFcQkQhQoQQE/feM+/vuX/xnJfPP+WNp4+4GHoeXW6Z5oCxHbvdlpubO+7vbwUgdS29M/huZjGKnDrQmuPhyPX1NePhAEoxTUdu7+4BxdXVFV3b0RiFL9mUYkYswaanCCU5UR8n9AC7i4Gt7bFWFv37uxu0AWsbnGtKKaaYyXOKBC9GykoF98OAdo7leGBePE3TAg3BNHTDwOPHT9jv74nRY5oOyFidaToJ9gwlkE5rQ8aTS1aKdQbnqnlRCprTmfynyxuZq7ybIXsx8ltjsUqvkoIpwNIYXXR6g7e+LFJlMbJWEr8rI0P5qOYSVlqmi3C1006ArDKKxhlUKj15GJ48zrz++hs8ffoau4uPuT3MTEuJ8ji7xtX5X/6ez/dXAaJT8N0ZMDo7wZ3T4udG0LN7QCkBTucOqJJQhtKs00FRZ4kR0SLHOqtIbYdyBuUcufjMVuz4Dbhprbm42JJSFFN59LKWhCBshbNMk4Cbahw3hc0IPnJ5ccE4jquBexxHbm5uCrAyq2yvzoxyTSnwTjlyPEoW3ePHj8kpSfZaTizLTM3DqpJT3w8cj0e892usQ5UUa6HyPEuUQY1E0FozjuPKRFlreeeddyRNXUsWVFcPGkozjZ4YMss88/Y772JdI0x4itgyffj06TOO+zvubl8Q4kLjZEPUwMV2x/39HbbYIrabDX7x3N7fkceJw3Eh+ZkwH7GuJWdD8pMYtFNTYmESKqsyDT2R2oZpEhvFZhgw1tG6bs150kqGk0wJ6JyniRAjbWMwJnN3fc3+bs9hf08KCypHhq5h6Bq61qGRXjtnzfo+ZRIhRg7TkeN45DiO2KbDGYlkkUicslAbtQIp8Q7JUUmAsOTTaX3KxlM5E2IQIz3FaGEMWevynpfRGy0tHzlLk4j3nkjAWrceWK21K7vYtqfIAkgYrVc/WuOcRDhE+brOEY1GawEpShlilOuPmOiN5GMtVqJUlM+FvJYAa61t8TopQg7kJE0arzLqr0YjnEzqSWwYWUviPbJ2KWMhhHKwk+DXugZGLxEWhlMv6j/V7WsNqN571nPRddTdLedS25olTiDlROwdKUUBVAVUpZRE2kslmwNTZEIBWmIqzsRYmay0yoGhSn9J2K/Fa6ZGMTeGsbEcm45NC8d5QSnP/ZQ4jmACLCEXYHd6DkqJ8rEESEvE5GtUWDj0LX6+4mK34dGjS47HPXd3d9zd3wri312x3VzgUwPeEpU0fr+83fPhr37N0PegZET6ow8/YrvdMgxDod0lKiKEiDEBayxGWbSSD7FCsdvuGPoeHyYxbSdNCuCcpe8083JkPO45JDC2oesGhmFL1/bUxPXGSuDq/d0dOediYG1RylZLUglsixjX4dpe+g2zUOAoJdMiqtYCGYxT5FgCARHjeyp8rVFAmTrJhY2R4YO8siFWUTYHhbN2HR2v8Qg+BlRWGCuBnrIAS3+dj4GsyyRMKmb8s17IputE43cOjJFJNoUAMi0TnEpJzcOjC8VrTx7z7NkVw+CkgVuVAr8Cqk7G7/Vq+e/6XHwZVV1T1Mqh+Aug6gS4vjj9Jwv0apUHFKkUIytKCXNRKCXHzII1aOtonMU0A7gG7ZyYU40m12ycbwiiUsUzsywzbevoleP29oacT3Uy1Q8jFTIyPXZ/f887b7+9poe3rWw89/f3K3v18uVLHj16RM7Cujpr6duOZZkJ6TT1d3V1JYxNTGin1vDJ+jtDOTyM47iGAdc4hAqmzqf26u+vkQhd162BohcXF2tkA8Bh8aDEk2iwvLy7YfZSgnw87Gm6npwnLi6u1ngFXeT8tmnQqZQXp0BOmsY1XOy2HA4HjjGsk5O7jXSVXnSGZR6ZJsn6y1mhSFKcrFKRwxJOK2LIoPN6jRuFTCzHxLQsOCc+n+Cl165xDV3jGI9HnE7M45H7+3sOh8MaSGytHKIap2mcwWqJE7BG01gBwCFG8VjNE9M4s/iFhEIbQ8iQovhldRmEiV1HLBllunyfLhmFmTrhJj7RvBqzSzF2ASH1YFSB1wrASm6UQbKl0Lqsi/I45pLWX2N26pSk1g5r9ZptaI00VuSUZMrcVIVE6mesKutlRsCpMfSARZNTw2w0ZvEy7bkEYvTSbELxsZZaNKVOE43wRa+ULtOLok5QnnOJQqKusjU+R9a+FOMKprSCxmip+vknJKq+3oDq9Z6ukSK/1SdT+aoSjR+T9NWlYiaWKIQiCUa1BihWjTeXosiclJQ/rr4qYSFCQiTArGh1YNGRSUVmIi2ZhkSjNYNrhKmxEWsidsmMkwAnnyAUhkNTpsdDUUTK4nc4Htlte6Z5WRfTGCPL4lmWiU47Xt7c4NqW7faCpfRJ3dweuL49MlwJ6/PRp885+oWtNcyx+KCiZ1kiWkecSSgnRchN0+IKHSzMT+awDxIEaBwxJl68eE6/yeQcuL/fs9+PeJ8w1tH3G4Zhy7Onb9G2fcmt6ddTbiyLubGqTGo4Uslr0SaLv8MafFhWHCELt/Ag1UlUaemcM8u8gBLpUhstU3j1pJHzabsun8d8/gFMgRRrInyS31E/mAiRmHUJiy1TlCoZNGLqt2ictuhWqPR+2MjJ10r/V0I6/JIpuTRZifkShbYOZUuWl1GIVCbTMtXXJx/1k0amxQh29gk49xR89ae+gqnT9z8EVQ9//CHTVSeAdJbXpD6iavLUsE4QZnR5Tg5tG5RxJNuDtWAd2tU/HThL/GbgqaIsyPXojC2SVKBp7QpSaozAdjtgjOH29paubTkcDhwOB+Z5XnvjvJd6lDrxJ3KbQ2VorWNZJjJ5jSlQSrG/32ON4fHjRyXgMp71Ayq0Ft9I/T31VtkpYDWhV7ZJa/0gyDOlxGazKVUueb3/y83ANEd23cDd/b6UpDs+f/4Zh+ORy6vHXF095vLigsvdBfM8c7y/EWN8N2BVIudA9AmfZnIya9Dlsizc3tyAUvRti/F76bcrnqWYM95HjB5QSuNDYJkXsSkozXHSBGRYwGkZAhKpTLMZBqZRZMB58cQs7PbdeM/t3UvadmAu6fSKjNUJ00mCuVXQOUPnDK2z5BTxy8Rxv0ielCrp8H5Zw5q1MoRQY2siTZZ9S2u9vte2SHcCoOJaGyPuFdnzQvAPpv6892waR1inhk95WVprVA7U6femaYoHVRcJWmRSXZgi7z3OOeY5sgZAa2F5ZJGVgntrNG3TsgS/ZiBmZYsakk8+JqDT4BsrXX2Nk6wvJnxMxBLrQBTGSabtyxRkWbjOJ/syCj8vWC3BrVCS27XU45AptUknAObX8vFcglM1Kmcu+5ZDSIxLHTH7x92+1oDq998cZLIKqJiTXE/bWTRvTnlSJ0CVBDjV/rZczeqs03wZMcIJcyXGt1DiGGJKhKTpDUwq0hCZUsREj47SAK5zZjcU86fRmClhdGZcItojdWlFYsvp5EvxMTMvXrI8YpIPf4goo9lst/gYOOwBlVmCZw4LbVyYj567+3tCCDx59pRYpoQ++ewzUko80YrjMrEgGVGbvuPzz2+4fnnD9777A4ZhoG07nHVCZy8TzgjY+Pjjj5nnAzF5fvzjH/PBh39F27U0zQajhBbu+57Ly0suLh8Rvwe73SVt29M0LZthuxrrQ8gQIqkUbGotdLmP0lCeS0WPnGgk20QXjT9niTtI8dT/BGJAr9MfSq2faQGnyMkQWFFE7RyMPsiprHzoUGLGXU97ucyhKZHtlCoTecgv0EaoY2sMtlFSYKoVWUuK/eoxEiqrACyFT5H9eOTT58/58Fcf8fnnL5iX+CWKnnrwd6XSF4zl61fVV1uS6s+dA6tzUPVltwf3fz6RpyqPWScaT/edlSabBmVbjOuxrmVuNuAsWEs2Vuh2LWPVD5/R7+5NKQh+geKl1Fqz2Www5brKSRgBY9TKWLXNKdATWNPQqxR3HoZYpbawLPh5oh+kaPhwOAAC4mIMaGe5u7tDrV4sAXG1l656uIC1XgVOpb41fqH+XpEIpYrl9vb2jO2S8M5qbI8hQBSvFTmx2w7EJBu0Noa721uGfrPKR9KDF4i+xMFYh1GGqBNaJXLyRG9pnRN/ZM4kPxHGUSwf9YCdUynkDjgN1moa62hMpmlbSJlN58gKru/kgOqsxRlh+T761ceEEBmnBWMdOSvScsQvIzFlRh/wUVj+tm0wfUMIHoMY3jddw24z0FhD8DP3YeFYgBFald5G8aOuLRjIAaXRVpiSki6ey5qliycyZUkkr6n2IunJ2ll7A7WSoaQYg7CjXUddaVZAVewQxlhiySG0Sq++uhp5UX1yqBoAqlaloZBfxKoIlL24Tisa68hRSIlzIHW+/mjAOI1Wxa+qYFkis/d4JeDRhzKqbxK1HrYysCEE0JYQgGyJcREvpxJmKqZU9rSyFhfPoBz2BVA6LYMCpMRut2W33dAdj3zs/QNl6R96+1oDqu99aysGvwLRpeSzgqIkIYuc04GlW6nUuNRTY1pHLlnfJKmvkc09J9bk9WAFUC0xsPiIJWHJuKK5Fr6THCO9VcRWNhkBBhFjM3qGPEPw6cGmphC/z7wEslWM88Ld/sDN3Z5hu2EYepoicQ7bgc3FBte2+BS4H/eMy8xmM7DdXfDi5Ute3tzw4voabcTwuN3tAFmwDocDS0Hl292WzWaL0oppmXDO0u0cOc34+wMffPxT7u9vyTHx3e/9Pn/y7/8Nd3d7Pv/8hk8+fcknv37Bxz//BXe3t+QUeevtv+KNN97kW299i6dPn3F58Yhnr73Ga6+/wXbY4awhxEgIZQS70M4xlYBIyomifui0Pr1/nH16C2NSQXPOGeOsTDuW+2E13pf6nhBBaVQsQDpKSGcd+51TOp1kihdBWyuGTRQEmYKs/rqIwipDNmY1xKYkmWQRYckymWwgGUO2imVe+OzFS37+wQf8/Be/4PrmVioirFwF6sxH9VVw49XFqH5zxUGV0Kr3tUp+X3K/rwKyVyVAzcPVRJX/UWcPNCtF1g5Mi3YbdLNBu4HY7FC2RbkWbANGpD9rrUz2fANuKYkBvOtaQliAcu2lzDIfaNsepcD7wHg8kpIUpNdb3/d8+umn5Jx5/Pgxx+OReZ5XGaYCnEjCR086lF60wmYcj4cHPqfNZiN+JP2w8gNYZT44sVMVPNUsKRCJcpomttvtWnIbY+RwODCOI33fr7EJ1XC/398VYGawzuGc5jhO+BC5v79jnmcOhwPeB4xxRL+QskJjgCzMjLFkHVAkUrTF++NP1oB8yoiTloaM1VJGLpSxtDeMe8/d3R27rciEnS3J/VHsyH/1lz+k6wa2my1910GG/f0NYQ4S1aI1xmr6piMjpfBGZaIS5qtzLRfbnqGXLK3GXWCMEvYwyyE9dxmlpRsvhwAoSBmVwDZWVgOdcVpM5kpVg/npPZNQXWFXlDrlUeUCGEwNiw6BJsmgglgXJD6CnMnWAsLe+eAJ0RN9lPWzZBVC8WBxAtsSP1QPV/rsT5FUJbVdTOnGKFCnAFRgXe8BGiV7rHEalSOtlfsxxhGSeGTJmSWmNcTalK7VnEtTiqrrpyHTEFLCutLnhSJFAdV1WjVFmWJXZBrpj0MDjx5d0TaWaTygc+Jx7/j8+I9nqb62gMoZxbtvFMNkmUjQqs4aCQgy2kGuo6QnYCUeq9MmDOcuf9Hb68WSUu0IlDDNECIxRUypTNEZTBYNWKPF4IZsuM2SaFONcBBgLSDOSgFukv4jrSRU2gDGqnVzWnzgOM7sD0fu7w+r+dBYS7cZ6HYbks7cHQ5SIdBYuu2GpmtJwN1+z/5wpGkbFi/5KTlKWrMxBh88l5eXclJ24ifbuA1KZVKeCQRMC+/9wZv8z3/8fxLikXG853D8BU/UJW9OF3z38BYpOu5vJ+5e7Pn8+TX/9//zX/nbv/0brG159533+Fd/9Ee8d3iPFy+vee/db/PkyZMHdQ0FJtXA+gc7u9iQqown2UWq9CyuVDcUAHQyJKLEC/fQvFirciJZBVQsAvHKWEoVgVKSd6LKRkJduLTBNZrgQ0nUT8xBpp0qC5YLSBdwYdbnFMnMSUbfP/70M370/vv82Q//kr/7xUeMc6YM8shz4cuAVP5KcHV+OwfoXwBZZ2DrVXD1Klt1DqpK+sNqJs/qFTkVyMqQtUOZDu0GTDOgXE9ot+AacC3KNWAdxoq/Zv4qiux37JaL9JJzYpon2fDItG1DxhPCqWOsepCUEhbjcDiw2WxECitgKqXEMAzruH2V6fphYB4nYW5U4m6/X6fv6udjnpf1/R3HcX18p0kuObFfXl6uaeA1lqGyUMaYNTSyeqk2m02xJizsdrsHxbeSaxUxRrPdbri5vWN/d8uw3TKOI4f9HX/387/ltdfe5LXXXuPq8hFz2zKPDSlO5DAjySWJGBLGlIqr4GXx1I2Yi1MiLJ4lJXSSdcM5izWVCUo4rfHJc3WxJabMsszCmCZJTP/Zj99nt7vkydMnDMNAiJFxf888HrHOYp34QNvWFZBcmyqku27TabrG0rcNKkXCFPETHPdykJVAZjG6Ky1rSs2ZSj6ClSgDaxy5HNp1mbjWxUKQC2uVkxxOV8ZJqZLkLofEXCKCgDXWpZRXiARdyqyrrSLlhDGsoK9ea10n6fZ1oRAbSqkOKmpGSono5TXQBoxpwZxghKxJp898LeJGFe8a4P0MSXoEnZEhgAZDUw4Oh3FiCbJyGS2J7TlmsBAqy6frZhILk2tXAqXK61Zr6fkNgdaIDNm1DVeXF5Aj83gEBLBurGZ0loP/x+VTfW0B1Xuvd9T3VqlCfVM3T40yBmtbTqu9oHQ4eUIoJ6qUK+tQ5UGKvqpOKekhr/4F8QXA7MGoXFJuMylrvFci2xlwOklOlNY0Vq2Boj5ZWicjzj6JPhxKvEIKCXqDRb7fx8Q0Ldzc3jPNE5C5uNxIvkoIHJeJ434ElFRXKJijZ/YL++NRamtixnsx1oufwmOtY5wnmrYnkdHFdKq1nKBiCZXbbHZ8+9vfEX+GarkPL0DB/fGaeUlEpWkuL9lse5597y346Qf8x7f/Lz7/5AU//eu/4Sfv/w1//eP3uby45M03v8X/9u//A9/9/vd5/fU3cEXSiEViM/bML2TEZJ+Lfp5J1PC8B7cz03RGkZQYLuvC8nBaTZH1yXQdVb1vSEiGlXzYMirKoqS0XkFXBTWmVEHkArJjCKgMfdetXVlKK7Q1xSclv+8wjXzy/Dk//NGP+M9/+qf86P2f8fJmEiDIGYh6hVpWX/jL/7/bAynw7D7OmauaI/PwB0/fpM6QV2VzqVOyBkjlVKgcynYYN6CbLdoOxHaHci3atSjboF2DceKh0d8QQJWzSHfDIGPkVxeXa0FvCB6SwqLYFwZpGIYHhvEKZkIIXFxcME3T+m9VpqsVTDln+qEnTIv4tIpcI4AuPIhGiDGuhci1lLmCpPr7ZBKxewCoKsCS5yYNDbXjL+e8+qiq97P6vCTjyuHDwjgdubq8kMNlTlxe7Li+fonWlsY1fPe73yX0PX4zMI97/HxgniAaCBpCkAnItnVkK1OLqaS/5xQxYmBEmUyKQaR9BSSNaw1d57i/O6AUdF1bnp9iPNxxsdvx5PEjri4uSMi6+fLlS5QCqxV94wgxYIhYnem6VpSJnEhRYY3CucimawpT4xkPB16+eM6yBLSVujDXtDjb4H0s5fKgOhk8kIJ1hUZOW40r8nCW4GWlDTHLoEzOZbo555I7KMel/4+8N/uVJTuv/H57ioiMHM5wh7pVxSpWFSmSImWRUrcaFlpAu2HY3ZCfDMN+MfzQf10bBgwDfrAtoz2gJU/dklvUTFJFFlnTHc49Q44x7MEP396ReYpskkW1P1nUnwAAIABJREFUzBIZhcStc05mZGRGxN5rr299a5Wx59RJfRyHyX/qtINTTaV8cTyv64rddj+Zskp0UD3pkEtpWK4xkYqUDlBnDK1rhUHSR8FAAdjlOim6QpWPwSpF33ci+SBgEQlF0qCNYU4twOjQMfhIGkaiDlhtwGqxs0hk0CYlyRRlVC6fP+aGh3EYGIde4t5iZDFvWS3njENPDKMcVyZZ9kE6HW2QxrKfdfsMA6oZiozGc7eDTKw5bgTRIygcoj/RGamXSUNOrJnKgdnYMn+BwZfyYM4HNAFvFd5rQojoKNRr8fHQWqZ0ibdRdONBavY6ijhOJTRBksOVhElGK1YFcUTCI+PRyd1HyYAbvGd36GTVYAVkmNqw7TqCguBHMa5zNXWc0fkBR2K93bLe7uh8IOLZ7nu2u45KR+p5BUmx2+2pq9nUAi00v8ReWCwxOpQOhDhjtz3gKvnsfT8yjgHnKhrXoPJq6+XVU7797rf4nd/+R3z161/iN//9r/Ev/qf/lT/4/W+yHa/51ns7bv67Hf/gt77Kb/z6b/HmG29zefkAZXU2mTPH+r86eumEWBiq+CNBhVhlyA0UQlYIqNzenNkqgJSN/bSSxHZUpv+nlUvM1HFEqYCOuUsPRBsVEyG7W5cyi4/ia2WsZb3bUjcNtnJg1MTqKK0YQ+B2veGvv/cef/Rv/pg/+8tvcbdZ42qkph8yk5qTjycImI7M0I8r4f84U86fpK+698R7P+d/U9YYUpiovDrkpPNPSZA4yqFMjXItys7ANoS6RdkKXIWy8rDWUbn6BOz+Ym8pCYjRSksH3ij33GazxipDyGGzNpdsinN6mfAK8CkLhPPzcxE057IfHMNhU55UMVKOPsa9SJlmt9tNJTxgytMr7wNHXUrXdcznc0AAYZXZjAKWCvAqgKyMpcW4s4CzwowYY1iv1zhXcXF+xnqzoesGiZppG9abNcMwslquGIaRyliiqdDK5kWhxtUtkYhRmtEfUFpTW4f3I+I1mSZ/vQIUJJ9UFt6LRcs4el5e32S/r2r67oZhZL3e8vjBAxZnFwRlGYZ+0odVlcs6sMA8e+xVVvyhtILKSapEXVtWizkXZxfMZku6ruP29hZrDbd3dxwOPd04YF0lhpoamromJtGLQbFjkjInpClbL/og5S91NL3khF2UcrKfPlO5JmSfok3VWk2L03J9FNCls/wixjgxcSDAKQSZR0MI03hRGM3CZBpjWSwWxzEpll46eY/opaR6jLyRWTtmAFjXDcGvp8FPPCKF6LBaypQxVujUc9h3qKqSjtDSZpzKSlDG/hghZBBUmr723QE/DFRWxOer1YKmrui7fZZ3yPA3RtiOx4a32jr88AsIqP7xrz/EKIdWBoNGJSlZSXilRSn5WSmpsZZOMRK5zhsomqo0lZSOOgJHcS0u+X0K70vossGONdYOaOuw44B1A2grdXxj8SjmXYf4QguqHTV4rdAxYZJHJT91TgHZrgHW+0A/BDCWarNnGD2J3CURAy/WN/wqv8qTVx/T96LHMFaTjEJZ6Vj54OnHPLu64uZ2wzje0rRLtK3Rr65oqwfsup4X19eszi7oho6QPD6OtPMZrtH4wTKMBm1mdIeOsU8oLPN2xTCeE6sDMYnDsh8OoDUffPRd/vwv/orf/ae/w7wdWbZz/sv/6j/hn/2z/5Rx8PzhH/05//Pv/Z/8N//t/8Dv/d7v8xtf+1W++qWv8ZUv/irnqzPatuHi8gzXWFRlScYRUPRBxIgp9ijVo4yedE7Fc0VuoUgMAykqTDSYaO7pS3wMWZOgUJWRsl42vyOpLNzNQaGIj75KIkIyKFLWgoi+6+g+XICYoWLXH9B+YLVaMWtbvPfsdjvefXHF//Wv/jX//J//1/zlX36XEAN9J/YS5NeT5aala05PJcCE/7cF8eXtxwGTiZH9GTedVGbpIOgSiFPcjKGJkKLCuhnKnZOqhyR3SawecFg8ILaXqKomVS2marBVQ12L2eMvC0NlrcVqy/NnT2nnM4lJ6URLo41oQLz3VNZSu4qLBw+4ub2dwFIBMAIIFuz3e7ry+jwRlk6nArKMMdiqQmeGpYQTL5fLSQ91muVXwFRd19MCq7BL5TmnAM85x9nZmeTaZUF713Xict73tG077WM+n09ja2G7ZrOaEEcuLs7ohoH3vvcdtKnoDiPOOr7xjd/g9naNH0b2uwM3t7fYaqQKhjAmnLE0TcvY9wypOIvrbCzaYPaOoR9EsxYD87adFAXzRUXTzvFjQFvD/nDg/fc/4HDoWJ2dMb98jQDstmuefvwRyQ9olXjzc68Tx4EQxlxuNcznrSxCjWHWVMwaMSYN48Buu2HsNlw+fI3l8g1WqxV3d3ccuo7gPSEMDMPI4dDTDx5bOUmDyOc9hJDBUl7/+TD5KclnSdM5gqLJPdoJKJVjaTL4Lb8r5xS4N+/N5zOcs+x2e0mrSBFXZSG3DxxCCQ/Opp85o28cBtLoCcM4BWUXndJp8xBaTddLihGT9Xree7rDQVg751idXTIOB2KQLu4QErtuQEVF7QwzXdFby95aDvkcGysVFp3n7FK9wIi1zqE7sO2HSXhuSMybhuViTn/YkXyPFYDAbjSMWfoTMhgng9h53TB4aUb41OPAp37F/0/bO08WGG2nQUYcwQ3KWPHByQBKaTuBqbLq0tJUKxdqKeekckFKPEbKtWeVs9lSkqgRqTNrfDLoKII5HRPaRFR2tdUmZhdvj9EJrcSIUowmRTCtUkSdEC4nVSk5b0Y6DOVi8Sjt0YjPR9cFus4zjjGnwIs53L47oIwm+MDbb7/Dt7/1Lk3TsN3estvt2Wy2dOc1u/2AH0e8T9TNjNEH9nn165yUqFxVM44DzlrOVpcMY0d3OKCspnJnpOi43VwR0kAzr2lmFd3hhsV8T2IPqkIccRXaBC4u5/z2b/99zs8vWS3+Jf/mX3+H73znXZwytHUDr7+B1md0vSWoCp0MyVZgJMcQREdB7I6rGmMw1kmWYRYeRSW6pdIBNTnoq2M3Sh5qMrBWQn2nfMOnhIpi+KdSykG+cnJ8GCeBtvjYhCMzqhRVXaG04nA4sNmsp1Vc3/e8/+HH/OVf/BUffvQx250YyslxkkG+/pEVvXvddT/F9pOA1c+yyWpNTcBfRu38fikDLKXBODAVyTqic2hj8dWMZCuSFR8qYzVzG1jZkbnxPP/lwFPEmNhu9zx58hqKyNAdIMapbd7mNvjC6lxfXRHzdVWYoXJut9st3ntms9nkWF7AUCm5VK7CaUM0DuMci8VimjhPy2/mhN0/HA40TTM5n5/aJZTJt6qqyc+uWCz0fT9prcqxXlxcMAwSYGxOTH6LjUNh3IIPrPs7tDa0bUOMirOzMz7+8H3effdd6nrGYj4nqJ6gBnw/kqxhVlWSZ+pDLsQrbOOkQSgLppW2aNux3W6wtsJWM+nAM4YxSCrBbF6z2W55+fIlIQSWyyWXq3NCv+du37PbrWnqCl1blm3LdrOmbRreeecdydwbR3bbHQkRew99TXcwqKz/aWcyYS/mht0hL9adQxMldis11FVNXTd03YAPHp9L6UopnNH44OV2i8IsoQ1FCl6AFJBZ+tMx4Ch3KB17Jey6uOafeoXJPmRp6rIj++il/EfubtFKIrWkUtFnDbPCGcM4jBNQm4KLT8qKMv9yz5IDmEqKYgoapozHuq4hM2rKKGplSUbjo3gO2myYHKMljaOwHVPXYq485EpFCBEVAnUGo8TCSklUUGVN1sWqiZEq0pGUcpnvhAWsnZvMwz/N9pkFVF94dYkxNq/OjDBS+pShyl1a5W9F6puSTNCJPNkWQAVZtZZLf5GYvIigCaBH0YyohFKZ9dDmhx5JW5ROaCOWAFrHTDXkBvFsMMc0DJyIh/MkKyI9PYU8a60kC45IUorNtuPp85dUTc3jxw9YnS2F6SQyjOWi9jx4eMlms+PmZsPd3R3OVjxeOursRv7t77xLPWt48uqrKA2j7xkGy3w+x54tYLfDj5H5/Bx/d40z0I09zlqsaemGER92qBREzHd+xte/8QXa1mJMIIweZyq0iWgNDx5c8lu/dY5OlmG34+7llpc3z/nmN/+I6Htm8y8x9xVOZVSJl6JSprajCmJhkVcMKhi0D3nQz8JIJcDW1MJcEiAkCeek3NTqCARiOjn/SeXojoRKqoxTEmaLMEX3hE4FbOXSnrTeSvjvbnsEVevtnm9+80/55jf/lMOun87zfNnS9+LGHqM6ejkVFvWkyPeToNC0CvwxgOpnLa+pSTzFvSNSJ/+XlEWbiuRqoqtJriJah3fNdB+WpHijRYPmlOJnO6K/e5vWmsvLS/peSgqLhUSZFAF3iBFrjjop5xxtU5MyqCnWCcMwTPok4ChEztokkGvRaZngimfQqe1BMe0sXlal9FeAz2kpL8bIbDabyoTF0+peGz1Mfy9MWtM0U+PJ3d0dwyAi+LZtAdFplXgbayzGWeoU8/goFYT33/8Bq7MVt1uAyKydEbwFP7Jeb0S4bJTEhIwjXTewnM9ZLmccuh7jKkxMzOaK2aym77qpaxs0ScN2t+fjj5/ywQcfsFysuDifY7Th9vaW/W5HPww0lUSrdN2eJ48e8qUvfZH17R0xSPl0nU0923bG+dkZy8WcBw/OuThb0tY1WiVurm8YfWS3G2lrK7muWoB2JElEkDYM3suYUJzMlcIo8QRMU6OUjA+Sa3rfl++eXjTfrCWEu3SEihO9msxaC+M4ZUEiPlIFkA3jgM/d0E47lNHTfoeux554lJUyXrmOyjVaHjGIwXaiiNqPwKsA4SHnSva9jJWVBt9LJUEic6RMZ0iiVbOaELUY06ZS6oMheIKPeMWkq9NJtFiLRYvREAY5fj8MDMnQxcz2ltK3lqY37Y+hy6Xpqalr9ocD6SeOzsftMwmotBKGSk0lvlwrVuJto5WI0kGjTVnZHUUoYq9wkvUTxRtGJlUxDiMbFJKkBVYhDBiMeC3GllFHUs7dEEGuPgI5Je8v9Ba5izBPlirdnyFVnp4ysorAGAKqT8g16VBEvB/QymBdy3ZzYLs5cH4eGMeA1vJcZyucm7G53VJcdCGx3+3ZVndstg9YLAZiHLl4+IBnz16IbmEcsEbclY1VVHchU7YehaGu5iyXFzy/ihy6DSEONO4Mu1iw3jzDaMfn33yDr3zlixx2O6plhUIzm7U09YzZbE7wFQ3wlS9/mTfe+GN++7c+zwff/5jlbM7V9VOePp/jGnAzzawWX55kkgjGYwIViUpWbLIiD0LzhpzNh2SWpQQ6JKKKqEz/KoWEw1Y1WttsDucJPkmaOqBiIoVAHtdRSU0dMzp3/MUk4UTKaImi0Uf6fPSjUN8p4HKmVecH1ps1N1fXvHj2gq4bstgeDru9ACkjGglg0l2RAV9xOP9pkcfPykL9uE0n/YnfZH0bcmwBJZ08rgbXEF0j/1YOX9VgpGPSGCOeXdbkdv5P7vcXd5PVuRghei/M5WzWTt15KQnKNlra/o8hwp7tfjcxCUV8Xl43DMOkf5rNZqQQqZSZft+27aRtKi7mp3q7wlYVITwI2CkiZGst2+128p4qYOtUb1WCk4EpzHe3k67k+Xw+lZxKOHT5vEMO3W3bFmU1xgnDn6Ji9J6rlx/S+WuUUrTtnMvzc9qm5frqBfscINw4h4qJ/X6L1gajHYkt2ijQjqQCtrYEFGOSJpGhlyzEsRvYbLZ88OFHOFdnrzxLPw5sthv6vsvmoYamqri8WPL6q6/SdV0uWcEweJTS0pVZ1zx6/AqvvvoKZ6slldVs7m7Z3N3grPg6GSXxM8TMSOZYGaMjlc35eCkxjHJuipdesUMIEYKEw6JTQrir+8HBxUW8nN9SLiygRUBVXtycON+f+o4JQJcyMgMT6MmsglhhjPLcT4Ko08dpebFcUynGPOYd9Vun2r1ig5SSjM2DJ0sDMnRRKVtBBCyQjCZZi1KBMQSMMmirc7PXyJhJJK3AOk1VOxGdRwm5TjHQU9HnBXQpoyeyDcVJCXVyBihMVV3nZrGfbvtMAqq3XxGRpCo96TLDceyVEkCjMJN+Sk2ABdBuQjeKmMuDOcUvSe01ZUsDlTs3VBGQYIiMpCnKRp4X0cRUk5RlDIYhDAxRsp5C9JNhaJzUxWmaKAtXlTIzRRITs8EH7OCxVkEKdIeRyln6LnB7vZYBc9ZQWU3TVhJ6GQI+DbSzGa+9+gq317c8/egF223HZr3no4+vmLUrVqs5Qx9oz1qePnvO2cUZb7/5JpE4CWIrW6GUltJg1aKU4vGjt7i7u+Ju8zwDkUDbXBKHSK3nVMoRNVhTM4bEfLakblr8GNG6IuL53ve+z8XFA/7JP/mn/Mkf/znrm1t+8N53ub295uxywepySZ0q6fapFCFpYQutJSZxbA+JLD7UU8RLBJxxuUFAZa2TxMJIPIzNTKLOKxlNSnmQImsLFMQ4otJIZRKN1ihrSLnjUFgoqKykvvfjyCZPOLc3N8QQpizA8liuznnyyhNWqzOev7jBaNFpySJUUVRghTlLiMO6Jvui/Q1pnB8nWP+pXs8pH5V/k46/TWixS7AVsaqJdQPVDNwM72phjqdB3AojYUyOtvjl4Ki89wzjOC2kDn1HbR1aHUGKiHbNpNs8HA4CTMx94GmMmcpmRZvkvSdmDUspxxXGahxHcfJWR++iYsa72+0YhoHz8/OpJFdAURHBF6bp+FlGJJOwZ7FYTuCormvm8zlVVbHb7VgsFlxfX0+M1Ww2y+Hu0kgzm4n56Hq95s0338T7kX13QGvL+dmCfb/m6YfXoMQEdb/Z8OjhQ8ZhxA8B73u26w1WSfJCHAPGHhgTzJoKVMInYdNeXl/LdzaIuaofBxSJ27s7lNYslsvszRXpu46uO+TvWlM7x6ypuLy4YD5v2W3FGb5pZzwwD7NvV0XV1Dx69IhmVmOs4+XtS/bbLVVV03UD270A6iHrh2RSzlURRE/plJ0Yea11FveLB57WCpMMnkjw8hqtyBYBsinE9V7GkwJ00gSeir5KqidHQFU0eKeB2HA04bTaoIzGVY4UxRT7k8avcGSjJllGBt7l72X/k5dfCNNCy+fFQgiSc6uMgzw2U0BNEJ2MNAaI+bVWKoPRTF5kwBO0xigxWSaBc0j+q5b9OWPEciJCMhWGcNQMZjmIOSlZlnsnpEQqesJPOX59NgHVk5aTYtlU980Vu8wK5VLMJEi/L1JSKZf/khIjKUwGT/Ilnp54MZRUqCiaGhW16IPw03umKPlQMcRsj6AysLIMITCEyEiPjyE3IaSipL5H04KgdulcC5PpqFbS4afQWFtjbIX3gfV6g3WwHFouzhbM6jlGiQnaxdmKxw8f8NHZiu2m5+52z8ytefRIfKhQlhBhs93x8uU1s6ri/HyFVpp5O8fOnZRPiTLpJ3n+avWY2axlu7tiu7/C6UjjNI/efEIIQg83zRzvElrPIFXEmLi9WfNnf/rnPP3wiq9//e/z8uWa1eqcP/iXf8DDBxf0uaVb8vEyM6hM7tlMVHUjwZ5oospuw+gMRMVmwk0t4jLdlw5QjJSd0DqXEZPo7awiqcDYD3n1JCsojRhzerL5YnAo57DOMfQbNocNYTuy33es1wf++jvf40+++SecLVd87vXPcX5+Tl1VNM0Md/aY1197nc+99hrv/+BjxvGAc0YS4rOVBnySiSpEcsqA6m8OPH4UePmJICsd/0knl6migD8IyqBMRXQNsWoIriHVNck5oqvAmKnU4DKwssb+UjFUxe2fxDSx7TsxtASmScjHgFEan7t3U0qTnqRpmqk8V15THLGdq5nVDWH0U+mulOj6bOBrc55b0UidmoOeduUBufvNTvsq5cJiPVNKREWLlZJEljx58oSrq6vpuE8ZuCKEL/5VZR/z+ZzNZkNlK0YnoLPrt4yDZ+hHEpq6qjjsdnzU9awW4nV12Iuw2xkjztchsjy/kGSJscSOwcu7a3bbXWYaJJ/z0A9sbl/y9KMPOFutqOtaTC3HIQe1B6rKMps1LM+WPDxfsVws2NytqaqKedtSDT2HrmO/P2CriqZdsDt0dOMoeaMxiMi+6xn6kIPkRf8U01Hgr006YYG1aJaczec2Zu1tzB19hqQDIUdtOKUYkYW4QsD4/YpMyKDmqMUsLOWpDcbk38dxTIhZ4OnysWgj7zE1A+V5soCl8toCksrvp6agfB1M+08ytpUsyGO3fcK5aiJBBMQonHVYyxQdlywY7yWCJs95zhppYMoatlRbkG8Iaw3OHjWDKSVGLL04Kk+mpaMf74nppwifLBtJJ39DfTopxWcSUL31SsvURl88nBNTR1aJlSmIFZjKaSmX8SAPYqpoYfKTlGiudBSBm9Reo7idJ1FCVcmQYp/BU8JHP+kYlM43gFJMRewEkZArJWk6XuG75Hca6WibogeygC9mxCzdK47opePBj5Fu17Hb7WlmjroyDIMj+JrF2YqxGzFasZi3nJ8t2G03rG891zcb3n//Y2azGVU1I8TI9c01i0VNOxNjvFkzw9mKwY1UTlP+U6bGOEdKIzanpjtruLr6kO9++wdsttdcXK74/Ftvk7zC6Ir9NmFM4PpmzXf/+n1ubw68+uQtHj14HT8Erl7c8aVf+Rpdv6Pr94w+h1IHYfRMjNPXaJzDFQYyTwJlNT+t1oxD22OrrzLCTCWN5OslGRCSVigtVhSUCWUIBD9ilcJVjso5XO4o3PsOUHz04mM2m+e42rPZPufu9hmvv/aQJ587kMIFTz+648Xz92jqd1gunkhWm6t57bXXeeNzb/LN9q+4XR+Ioz/B+EezvEJpl5Lfz5vAyRiA0uUn0U5lEMmQT1swjmgbop0RXEV0IkxPxkJ263ZT2e+0meSXg6GiTFoaXNaw7NM+mw5rrFUTcFHOUcK6V6sV/vZmYpsKa1RVlQQljx6T9VnFrgDu61kKgGuaZppMC7N1ato5DANwBHzTijx39MFR1F5Kj1prmmY2dQB+97vfpe/7ezqqUuqZzWbs93ustTx48GAqM63Xa3a7XS5dKgbfYxQs2hatOpQywpAksEpnBqmjqmqStTR1zXqzYfSep8+eMYyeup3jQ+Ttt9/h6m5D5yMxeKzRjN2B62cfslnf0M7nE8u23W0Y+j4L6RVt24pI/cEl87l0ExZ/sJvbW7q+4269YbE6I6LZ5M8Qu47aWVSMxEFAn9hGCCPuQyCGRFPd1xgVe5gYDJV1cs/5IDEreYpSHO+9cn6McaCqe8BGnnNkpQBOfRiPeiA9sWHldaXRoYAta2227HG5sJMmgARHj6tyzZVzfspUFYByuoDLI7k0YBVmLAlpoNVxn0dmSMxSvffSjFCYNw/oojiVzn6ftbUKAVoxiTFz8eeKMTEoQ0jSiaiKd6HR6KjvMWoppUl/e8pUSSPULwBD9dbjmbA3UfLNjM7xJdmcMGXb+xjFtl+4iuMHj+pEwJeYSi5SKkzZ8EwCbrUSfx1NQieDJbuqW0v0kWAFAHibqFxkCKJlMlqYWDH9RKhDnUVuOqEM6CB69YiBIKxZia8xwvuiicSxI2pLZTRDSiQ8VS2lr7vbNSn0jH1LGA84q7m4OOftd97i6Ucv6A8Dq+Wc7WqBHyJXN2s+fvoCHwa++tUv0uTWaena6BjGgXnbEsJI3/UYJLA4AeMwEBkxJosldcPZ4hGr+RlvvfEFEiP7w4ZnVy+I6YBSA8Nwx83tGjCk6Hhw+SoPL54AFYfDjrY9p65m3N2+ZL1RhKDoO09fB4wRXxejDEYrQhYUOmqJMrCeYZBVZYyRpI3EPKGmCUmaFUxundTSOSXLipzPp1B5wvDDSFJKVjLOYo0iEQgxsjirOex3/Nmf/T+894Nv8eu//iWc9axWDTe3V1yen/Nrv/Ymjx/e8YP3ntPvrjhUjmX1Kq2KVKsZ//DvfZ2b58/4/f/7/+Xp1Q1V2+DHkI3iTgB43pK6P/j8PDbBdjFr/FTWGqaTwRlwVmJlqprgKrxrSLYWLVVuGtEnGqpijGr0j+5s/IXcJj2LyoJcN62IQXQjPvqpe89qQ11XoqWyAu6LZury8pK2bbm5esnQ9SyXy0m0Xko4p3YKIBNDyf8r2o/TrkJg0teclmnkZzUxHKedgmUrdgx930+dY1VVTa+v61qMLQ+HadwtxzIMA+M4stls0FqJtYEWAN/UjkEPwrok8Z1KKeHHo3ZL5Vitru85v7hguztwGEa8OvD86iVjFDZjs9kKg6EC+9tnbLe3KKVYLZe07YztRsCUgITIarXi4uKci8tz5vMW6xxVXXNzdcXTp0/FGiBG2vkc56ocbizygxADY9cTuj1acwJeZH6yxpAQh2/x3VMSZRMjQz9O8T4xRqKTECtOwMi9UlqSxa5Rx9+fTvoqWbQunXfZrDqdpoSo3NTFdJ2cishFR5tAuYmtLM8p9gdl+6Tp8uTKrn7Y8+qUGUMJ4CEiEVxK3fus5bUiWBcPrhgFUKkExgp4ZdJZCQBKGrR2GK1l//kz+hjx2hFjIoSeEJQQBvm7K59TLE2MVD9OjGylDspkHP1pts8ooGomhkosDnJ+TxIJb0wiUNH69MPKxXM6ZU1ouZQMAZB2+cixJDc9JVOrWopJk5mYTA4KazTWyIRsdZBOCqswVlo8tVH5pMXcCZhPJLr4WJ68Tzwebcqri6QYQ8d2H3itfoSzRlZEUfPuu+/T7R/zyuMnGCwmrzzOz8958OCScfSkoOi7xNXtNSEM1LXmN3/z16iqmr4/0OfVWRlMh7GXLr0s4g9W5dp77nLEoaIGKrSbcThsaeuG86Xj5c0Nh65Hm4ZHD84wRjMOAaKhrhekZLGmYbG8RCEOvMvVkvm8JUVL9JqxS5BG8UGxDpL4SBlj0MZhUkSbEVXoZaWJIeF9ku/dmKyfEjFqWVWoElGk8kAX5QbURkEU6whrFDF5wjjS9x3fe/dYhVZ7AAAgAElEQVRbzNqaqu6xtmc2C8TQc3GxJHpL7aQkvJi3fO1rX6HbJObtJZWzVM6xnM34B1//NS4Xc1pr+O//x/+d7fZA3ThUgpBEQyfHKGKqCeb/bNKnn2r7Sfqq+314xc9KFgk6s6zKOJSrSVUNriI5RzKG5JwI0gt40scOv9PJ/pdhK2yM9x4fPKmLYu6YNUVt01CCisdxBIfkweUy33w+53p9x8XFBZVz7NcbUhBvqNvbW3a73WRpYHKJtUx+JTrk1F+qlGSKnso5R1VVWGunctwwDFSVm/ZzqpcpgK1ormazdvp9ee5pqHM5nqZpJpf3Il7345gz1SJ7smeXMwTviWOQ+7eAgBjp+4N0DbZzUgocuoMEAMfA6AfOL86JKJZnI5v9Tox8rcWlHvo7NutbxnHk/Eyc3e/Wdxz2+yyrUGhlWZ0tOb84Y7lcSiPBOPD06orbqyuaqpayqXPUdQNKrCzqpmEYRyo8Vsv3nFLuYMuNA6I+0LiZ+NcNQyT6OIW7C0N1vC+tNcQkTukxiAde6QJPusrHrLFOxjqtjiLvAphE9nK8vws4PgVVhfU6LeFZa+l7jw+KpjlmMhaNXmGZixFt+f0pKCnlP7gPpso9AWQnc6ksfXI7BV+FxSuJFiAYSWfJhyERVRISIovnlTpKfBIJn2BIAshAGkCkOnoci8rxjjlFJWQmFgpcS/eO79Nsn01A9YowVFDKe2JzoFTuwEqapArgKlypBDeKJjzxydlKAFmhUY9GnyrFKZbm6NhdhFPHx/F3YhGgtIAoq3MMgUG6D4xG+SQXuFakeCz1pJQm08Qp3DdXJFOEgYT3kbaVyI6Li3OsMdzd3rLdHlivD3z4wRWzZkkY4Wx1Rtd1vPb6E0H6KXC3vkWbczbrG37wg4+oKsPn33iEs6/R9z3Pnz8lhciTx0+wppIYgCA3jzisR3zoUFFjMeik8CExDp6qWuKcwT1ccX7+GgFp8/WjxxhkBTgqSA7fg9UzVktFDGOOoOjQKmKtxo+If5eWWrhyAubKgO1jICYJx5zNLCHkoE4lJeCyurJWJvWYw0DF2NOQSMQQSGGUbMfgsxu9wTmD1uAHzzj2RDpefXXJenNLjGv2++d0hyfMWsfN9Uf0hwPnq0uWbUXbVsybC27SgXZW09QzlIa6rghJ8eUvf5l/+Du/wx//+V/xV9/+PtF76SZEytRyIRgmXSAJVPhbp6j+bSstXdhdVdCTLEuKgrF0wCjriEb8ppJxpOxJNZW6lJqEtWoqh6e/9c/1WdmUUpNNQGFl+qHHWim5bXd7MfVsqhxJo7h89JjDfj+VTDZ3dzx6+Ijh0HHYH6bSXZm0CqtRynggNguFNQImgFVA0/E+sZP4vJh4lrISMO3/tARz6sEmIm41sVSl7f10Mizfg3OO5XKZjUAPWScaJ0NI7z0NDeMwZjAmaRd+HNFKU1fZkkFD5WpGP7KczeiHHp8i8+WCfdezWC7ZbnfY2tHEnth1PL2+lv3XDRoZk4a+Ryu5R1VKGK1ZLuasFkuxS9jvefHiBcM4YOqjELsc767rWJ1dMKtrnBIdrtaK2lWk6CdWSr6XMd8HWaqiFNZZdAZTxliCH/N3BcYaKlVBSqKbQmQn3dhPlgeF0dFaTfPYESxBMem731zwyefpe2DYh4CNWpzpnZmuoVM7jU+CifLzabD2adn4k/YOx2tCY5Rh30ko+I/ScxUxvVzTIUtzpra8/ImK96YYd4aYUCYL6zMM0kqhA8QUsvO6kYrVCaBSSogPlQGhlOozMCO7un+Cjftpt88koHrzsTuWIbJ4W1zQM8gid+8JZs2C6iTUKRzVtSobOhbifULxaprQTinulFL+QnPikSqTdELaEsQUlMycqbySV5BBVr748+RZwJs4TouRZ7GRLGaTKUnBMka5SZ0zeD9y9fI5SiWsVex3e2YzCa58+uwpVWV45eEDvPe07YzLB+dsDzvm3TXLR4r1+2tGBevtyF+/+z7OWp48eZXtvmfstpDg4eWDPFB2BJtYLBcc+jVWGzQOotCoxlTUsyWzsxlhsxYaO/QoxB+kritM5RgOtwzOkZIjjJrRJYyuMCi6wxaoSLEmhpEYPSkqgo/EMRFMIlUxu1DI927EYly+0+L3BRjrMNZkAbTDGAvWEuA4CeTBTGykcpbjpBfQ4sGSAjF4YvBgeozpqatIf7jh+dPv8973Kt75wpvM6orZ2ZxxOJCCx+qaoT+Qkoc0SmlWS34WCharBW+/8xZPnjzhL771faG49VGPBKeVvzLg/Du9fX5oO6XYf3hLQkUp8bzJev6JnTJaSeOCFd8p0VNZlDGinyrlg3K/qMzKql8aLAUcJ5HCHmmtsReXHPZ7jNGiQUoQfOD8/JzFYjFpA1NKrNdrNIrnHz+dQNJ8Pp86SbXW7Pd7DofD1DV4c3PDxcXFZMRZtDHlOH6UeWfpslKKe6W6y8vLe+xEAVYFuIlo3dwTIxfAVso2RaNV1zU3Nzcs5nMJAz6JqLm4uABEqHw4HFgsVlhrOXTiY9XUlmH0IjvQ8l7nFxfsD3v2hwPzxZLb2xuePb/i4uFDfN9zpgz9Yc/Lm+cT4LTWEFLA9wPWGKoqlzsVWKNZLZdYa+j7jru7W1mAxcDtes3F2Rk6HZmMy/NLmqZm0db40VOiXYgJVzUSXKzFt0kseET6odAs5gtxzc8h6zp/V1pryTZVRw3UkHrq2ZzBB5Iyk7HmKcBFxakMV14n2qa8iJ9E1EdA9UkrDalemuy5qO6dw+l9uA8qTsvARWQOR31V0fed7m9i2lAnIP4Y6zXpksu4cQLoy3uWz6lgiowpzS7aZLFPikwiNKQjMAzZx0glrLaEDKhiITLKPGNk8a1OQN5UquQ4H/2022cOUL35qEYjbefC9BWE7qdVM8oIYFEhg6RYFFKcGibepxjLyRELBaVy7IiCWLL6kiaMpbXTU/KhRFcSMy0dMvrN7ZfZdV0u4MyMJPES8R68T8SgxBcpMZ3MUvpLKdstBIVxhmYm7aL9MHDodri8qn3l0UPapiYEoc9jCmz3B4yWssErj19BmYbN7Zqbl9f4YY/P5rIvrvZ893s3XFy8yZPHr+FDz7MX1xjncvnTs9ANzmWQFz0qWRKRcRih88S4p8SwRBRKidPuft8xbrY0VU9CYW2FMxVOa5yrIEZGL7R0CqJXi8mgokJhSTFIRIdLaKTtvniyTM0EKU1BxpVzGCdu+aINyGVKMsWtdHbShxQi4QQiG62nLpAwjFJyiIGkD4TxQO0UZ8uW1588YjmfYbXisNsxGMPF2UOccVhT4XsBHX3XEVcR68S93WjF6AfqpuLy8hxnJStKbuECpaer+N51+bNuP+lmPx0kftRWquaqgCrkvtMIqLJoyCBK/hUgJR2Voj/QlEHxWEKcPuXfYjnzs7SlBPvMNpXV/nbY5glOTy7jy/mCdtZOk8lytUIjOXpnZ2cTYPpkyQ64V8or7uWlBHiqiYHjRHB63ktHoLUnTHB2rb64uJg6sQpTMbEZ+f9l19K8MDm259eUYyiCda1gs1mz3++nzr8idG6aZio39v1AQhpxqtpRty1hu2X0PhtAjhy6Aze3N+x2O750ecGhH/gP/vE/YuwGupc3/OD732e72RK9fFajRdZBTFiXvdGMwRpps5+3LUrB7e0Nu92Wru/xfmS9XnN+fsb55TmEhNXyfTsDxJGuS5MxcFVb8cBTuWwXvHQua4O1Os9DJyJnEsPo0Tn9Y9L3TvenwdQztLHM6+beOTvtRlNK5XLp0Ruq/F0Y/CNIipF7gKoAHFSaTGYTAaXs9LxP6sFOS3yFmTw19IT7GZNl01lHpjLAPGWtTkuJp4C/SFFO33u6lk+uaaNA5es8FDPPbJRdbA5qa0ijVCUUCa0jIR6rG9Nxq5yxerKdGqD+nddQvfmoxocRnQLH0TiBtnllkFDRZEO0zBhNepSTySrd/zKOeqUkLWYnJQmVijlazl7LHQXSvpkFf1HEyyGFrJMypQJIDHlwShUxBUKAMcDowfuyn5Q7/DSlqFJKfjEK8FEhQhABozXHVtTKWZqm5sHDS25vrnn24hl/+Id/yMMHl7zyymPqumK1WjCGyKOH51y/PCeFyGHXM46eZ0+fQ4pUVnHz+iucn7WkOOAqzWwm+VhqM2CHuQA4V2Fz2UYRMbrCGUcMEHzCq4iyQu27yhIYOOx2hBgx2mFMBZWwdkknqlrcgP04MObVhFISEESMRD/QDyM2OZyr0Nrk0lOOluHoGWKz47Cc5ijf/zBOjQgoifTVWmhmqw1DLFE2R7+ymCL90NN3B2w7MHpP0zjefustjE64SuOMwUexiFjOz6nNAq1aQh/oux1WQ9cPNPVI2yyIaHofWa4WPHn1MRcPlry83eJ9AlXcRPM1OpGlf7uI48cODEmu9whZ1yUXpElgVAFbecWqbU4KyMkESgugguMtl+79+Kn1B3+3t2PmWgiB9Xo9dcq17XwqeVnn2O72nK0W1I3obvzoubi4JMaQdTkJ74XVsdbS5szIqqomr6fSmVcmJ+fc5AVV3r/YJwB5wRjzIlFPjJJzjidPnrDdbmmaZpr4SoTM6YRdJtep8zZJNM2pGzuAH4dphb9cLqfOxVIiLEajdV1x6APDGJi1cy4uL7i9vWM/9Gy3a4IXKcHjx4+ZLxb8Z//Ff858Pufs/ILgAy+fPuPbmzXohPcD1lYQPCmEXIKTbrLaOdpZnbWwhradcXd7x83NNTfXL6mbGusc5+crrBV3eGvFT00ifY5GrCGIfOBwGFExsVwuBBgoCynmpozM0KYCJPICBQETRdAvgDUhqqAkTU55MnfOTYxjeRTgmlIiaYX38QQ8xWlKQx9LeyEolMqaKWdl7krHa1WuHfFzLOzlqZ8VHEHZKSg6ZZNOGTNrrdRzYkkSua+rKtcrcG+fn7R4uO+XxQTKyN+nUYhWUQRpOR5HMYaI1Rpyo1XvA8F7lBVQFmJudsjlPZJYJ5Xr+3QrQO7TLAo/c4DqjYeSKl78V1IGNUpHJDsu62h0Nj7TY2Yq8gpbgscmPY1sRwHw5DuVk1/ld0H0NjFNg4U4ZkvhMWYxXFQRHyIx5bTuJEwNjIxjoB9g6AN9HxlG8AFCIntOZar15IhUUqQgNfOohCb2waO14dAd0BudxdMjt3e3vPG513j77bepnOHZxx9yc3vDrG1oZzPq2nFxtuDttz5HCoHKGJ49vWKz7hiGgeuX13z/++9hVMTZV4npkn4YCXGkbStsN8AgieiqAVVJYTVljy1nLJVrSFFjsMQAYzeyPwSU9dSVzoODRPoUQ1RrFM3MSqgxOYphkJJfIqKSI0F2II95UMpt5UqE3NJFZjN7FnIJVRLKQc65yh04Simi95IBqMTczWhNUJoQFVHFbNmQ6PqeFy+uePVNR1MvGboDKtU8uHjCOHagEqvFnHY2x9klmhkpWJ4/e8HNyw2vv/q56crSRjq5Aop23vLgobRiX91scgW6jHYZUBVm6G+RwjkdIMpgBSer4nJUZTFRfpEng9JZJOUBeZCjgjJVXC7mHOeU7usNyx9/CTa51iwH391jh5xzEs6766iyJmaxXNB1A64SG5PV2Yqhk8VPKe13Xc98Pmc+n09sEDAJhEuJpeu6e9YIRaPUdXLfz2azaWF2dra6xwzEGGnbls1mM7EdxTH9tPx3uh0n4Wb63CBMClnisN8PNE1D0zTT5Ny2LW3bst/vJwuFcRwZh44hQDNf8vT5C25vb/HR88UvfBHvB77w9uc5Oz/jrc9/nrOzlVgSpMjY9RijcVbT1I6z86WEwPtE8gPOSLRKUzkW8xZrxO+usobGOW5ub7i9uSaEQF1VXF5esOvEaX6xWLCoZzTJopWiy53GzjkW7ZxxtMToUenE2kCLXU+MEZN0Zq1iZl18FtxLKkXZZAwrTulMIKYAlAK+gKlkWv42qXFPjiFfiffYx1NWyFjLmF3gy3lczJe07ZyuE/B8CtCBqXmhvH/R+xUW6ZTVKvu01uZudzn3pRHqk+NR0Wvdsyo4ZaUKUOQosC/zaMqlHXXyHQjDLlUkaywoR0yIbxlgTZbaaFW+8B96z3ssGxLE/Gk4qs8coHrtgaMLAZMvNpcUGUOhlKyeQaG1CJqLuEyrILRpLl0Uam+yTBDh0qR/IqY8/sepfBdCYvSJMXfq+Hh8xCSeVBEYfWIYBVj5qAlB4b2h6yJ9H+j7xDgImJKzkaW/Onv8IAyJzvopXcp+RIKPLBZz/DgQgme5WCGJ5QMvrl7wyuOHPH78Ouu7l9zd3bLf7wh+5PxsyflqzqyqqI3DKp21MC/ZHzpC6Hn27JlY8qvI5eUZi+Uc5xQ+BFA1zczidaDXIwphylSuUw6jlAs0mqaeUapYdXZ+7obcnWFHtDO5JKgkvFonxqFDqYCxiegjw+gJQaOSJxpNCkmy/BIkk1cnZTI34nuSgDCMeEZCKt0gERtAGyfhx8qQxhFjLdbVWKPElkEZYlJEH/EpEIMA9KqqWd9uaNuGql6RgqOyCaNEbK5RNFVLZc9Zvxz4wfff5+nHL6nrBWdnj2nmC9pFi/cjVW2JSfyn3njzc5ydr9AfvTjW9+Xu54dBxs9HbaQAnbtjQi5Hl5X1vSNSljSBKunISNnxX8BUyo84AaspfeCXZlM5gSBM9gTCTkncS9u22VdHrmvrpK17GA6520rMOeu6ymBmQKlq0gSN4zhNTGXfIL5Vpatut9vd85gCKUMCXFxcTOadhb2oqooPP/yQ5XI5xdjM5/Npn2XCLMzDfW2NnzoAtdbsdzuUklLgYrHI3clHgTwIQDgcDozjyHa7la7F2QxlHBFF7z2L83N+93d/l4vzMy4fXDB0O+Ztg1GKwY8MKeCUJowj3X6Hip5l20DsYTeyGT1JSYJC5SztrMEak13r85lSihg8lXWcn5/x4MElWmsO3YEELNyMRdVmcASLxZz1OkwgVmtF3cxIPlBVTixfguQzEuPR3iclQvBZWiBjwDh2opGKiTEcmadTRshaO7FU5TsvjFABNPJ9Krw/LpQKg6V1Tp7IoMU6MUbd7/fH/SlNO5tLF6O8+l6Jr7xPcb0vYKp0An4SIBUwVY6jNKec6rjKZz01Hi3XBtzvLi3nCcgZh3Hq9MZoiFEqGSmQlYiZJDkG3ztrUKoipZ4heFQShjIp+0NgqmwF3BlOXNI/xfD8mQNUj84V21yHN1rq9jaC0SIAt1FhY7EvAOUNWifxklLCPKlSWSGzVBm5qpMyVkricUERtEUR9gXAJ/EOKo8xeMYgOUIRscP3URGiYRgDXR/ZHxL7g6cfIqPPc6jKFcZc8lPKUro0yBOYVsKKyYAccweaIeSLSBvL1dUL6qrm5m7Oo4eX+BBo5y0i2pY8o+h7oY2B89WCt9783GTY+fTpM/puZL878N72Q+m8IbA77Hj06JLFco42DSgrUU5RWngr60Sb5EXSl4JMmLpkKmYjtZDBpveRGEUEOpuJP0oIB5IKYhgakHRx41FKwppj6KGqMVU9tU4XETlKavDGZvZDa0zwuRwrLJOKEaJGWamrTwyUD8L+WZNLjFlomNtyQxDDvLZd0PUD73//imHoMAYpFRhFO59x8fAh7WxB8on/4w/+BSFoHj14lV//936TpmlwjUxE6+2eOpeKE4kvf/krPHj4EKW/B8QjHXSkKH/u271xYkJTZDPcDKxyZ6KK93/OlrV5H8fBeBqk0o98l1/YTSs1ldtQ2aQ2l+S6rpNcyCQM8Dj2VLOGse8ZhpG6Hhj9yLyd5+dvAZlQSvnp7u5u+v8SelscyYtgPaVE13UTO1Qmv6J9KWxWSnFiugr4A7i9vWWxWADcs1coYKqUm46lGmEIvBcmy1o3vf7m5gZgiqDx3vPy5UuACWiWWJrz83NqB4vz1/gP/6P/mKZ2NE2NcRUzI93Lxhq8H2hcRRwG9ps77q6v6PYbrE7MasehSzIHWLCVpq0aZnWDNZrKSmxXVTmWizkffTiwyjYu81nLbr+HkFjWM5wyk2aormtsXU2aJ1KODcthvtZqnKtxzlLn3DgfRulKPrGZKExV8AOjz/PCSTn1XnlLHTsz9/tjZ1xpPrhXKjOilTq995RSovX0Q64YxCn0WsxVDYoiW0nZdkNsgJSyk06vMKCnNgoF5E35lCfHe2/L0poQj2L2ch2VsXgqEaZjCflUGH8KdhRSyUGJzhelxLw5iJcjCoLKvlVaFolGy/wxn83o1xtSsqKmVSPJVNOxF+Cnculw4l/Sp2On4DMIqB60nt1umy9ohzVjTs92aB3Ec8QErKmwpqKqAs6K8t8qAV5K3y9riKBN9j/RtLlYQzqurEspL6RAIBKI+JQfMeEjhKjwSZEwDF6x23s264H1NtAdwAeJG8kEjgjUM7pS6sTjIk9aKV8cEq0ArhK6X2vLoeu5vb2lbVtJBB8DXd9zdXXFom159PBhDikNqOTpOzHCjAEePrigaWYYLSDu+uU12+2OYQi8eHnLH//Jn3Fzd8uXv/wrvPPOW1hTiZC+mYkFQB1JjXyvKXoaV5Fyu+2Q6W+l5PP56O+tQMrNW/QgSsuKPGjNGGE0EBqLbsAm0Dpl1/rciRTK4MBE+wYvQEoZm0uA+YZMCpcVacVJn2y1EdUonXxJnItTZlNijLn7zlLVDa56xOXlE2IMdN2Ow2HPen3Ld771If/b//KvuLm54eGDx3z1y9/g/OwRjx+9itaWy4dPGG2XnYbL5GWIsefjjz/E+1HOx48CT58BnFGsOybO7BMLstK5VwYxHRLOR0w/4mcRHwsBq0hGmjtSWbSobIz3c/hcP4+taC0nFggRX4PoiIq4fLfZMgzjZPBZtEWLhWhxhA0IE+Mk/lINu91uEnyvVquJSVJKTZPufD6nOKJ3XSehxLnkUnyqAMbRT+XAxWIxGYceDgdubm7uHVthKsqEc1p68d6jGzVprkqZaLfb3YueKWxXOebSkZhSYrFYcHl5yW635ck7XyQiYdxDiKSuQ8VIXVu6YZzKP4fNmqcfvM/t86fsb2+onaNSidpoGmeJGupFTWNrVPaAUsj1WFUVKURmTcVs1uCslWPqByrtmM/nNLMZVV1zT7tphIkXV27R4PocK2S0zl2EhhQ0iYjPJbIjU3XMsTMYoj628Z+Ks0/ZJp0bjk5ZvlMAcNQ0MYGcSTSeEiF5dNKTAae1lnHwgMJVR4PXoyWH6LgKAPTZAf60NHcK/D4plv/kI2aSolz7ZfskiCn7KMDrh8pwQDKSzxrCkQnLTxBwmCJxskiSTs4QPEqLabRWihA9yuhcFjxGA03vJeLae2PW1BX4U26fOUC1rDq221HMM22FtSPOVhhj0dqilMGaCmdrtBkYR59XWY4qapzJbfEaUjbPVCfeOEU7BaJfSfl3MUaGpBlDEmrZy6rRBy+hjjEyBHFKHwOMQbHbj9zdddzcjmwOCu8hpJyHpco7AByNHsr0pY7TGJBPXIBxjKi5Zd7O6Ls9d3d3LJcLnLM8e/6ctp1BEpfhhGgTUvDMK+j7QWwIlKdpKlarc5q6ZbFY8ld/+W2ePXvO9rCn7weeP9+w2XyPzfbAze2aX/vKr/DKK6+gVopx9IyjgMBZU6OVEeCUImMMolVIIVOiCtVU8q8q7bNy0x71Fu7ejXbaLqu1xugA5IxEH7OHT0TpnA+nDSGKnisMImgtK2uT6V18kDDiXLuXCyB/r7GcZwg+t477QIoKY2oqO2c2a4Qaj15WdirxjW8YnKvwPvLe997jtSdvst/3LOYrLi8fcjhItMh+vyfFhA/CES4WC1CabhgmIJ8Jt+lRJEefNnzz3+V2T/L5CU3XkUiTRPaoDLGU+pQmTYJ0RdLgjWKwir5SNLUmWf03Dn3+u7QJgSrGnc5JrIjNLFLRMN3d3U0TlclAQ1bDR0+pu/UdtasmRiKlxG63Z7FYTHqqGCPPnz+fAFJ539lshjGG3W43TZRlUVOYrQKEqqri0aNHXF1dTeWc8nc4ejAV1qAEqpeJb8gC81nTMJ/PJx1X3/dsNhtAmKgCspxztG3LbDabPtd+L3Ywz5494/Lykr/31V/hoDUYR1IKPwacUhz2BzEqNprR92xvrrn++GN2L1+io0eRqIxiZi2xabBNhbbiP2STTKY+hztX1vHxRx8wa2ZUVUVMiW6zk5zA5ZJ2Pqedt3nCl/Fjtz8weBGlK60wiC6zsiJar5zLrNUwNRORIATRPKWsZ/KjhwiGkLWhehofyxh5ytKUxoPTbku4D0hC7vguc0mMkW44oA0TiCklthjFYmg2a6ZrpewvRnCuuhdLc9qMcLp9shuwXIOnwGraoswT6sSF/UeV2k7nh/+PvDeJkS1L7/t+Z7pDTBk5vKHq1dhSi80WSVmkZVkyYBjQQrAtSDsBXtmGAW3svbXzVlsDBgxoYUjayPbOBizDskQLTUiUKIrdzSZZXV3d1fXq1fBevsyXERnDHc85Xnzn3oh8VS1WUd3NsnULgYyKFxl54w7nfOf//Yfjz+1joAlDi/CAxqXfIiJRcEopDMKtDj6kAhq6vkdpqQuiTzmu2qDwaAxxIMPHIw5Venzefv5h2x9aUCml/ifgrwCXMcZfSq+dAf8L8BbwAfDXY4w3So7Cfw/8J8Ae+C9ijL/zRXfmdArb7Z661inosCFzWQpcHRQtFmMczoo7b29bbCqovFd0KfFeGymoUAplpH/fhyEbUCfuhyAWhICKgTYqmiAITNvLqqDpepq2pek8TetpukjdBKoqsFrtuVnVbHaRutcJuQIwA/QkE1QqPOTkJOwqCq44dFo8h5ePTSx9gKZusdrQ1A2Z+4Q8E9VKjDCbTpjkjqKwiA1/T9mLP0rTBe7fu2A2m5NnJe+88w4fP32akukrmqbl/R895uryiuZ2w9e+9havPHr1MHh7T9d7nLXUGmmVBo/qAzFlF/Z9T2GXKd83cU4AACAASURBVHbEHa4b0bRgtMX3gwNzSIXFYTUmBniSZeVTmLDWhiwXtaB1OVpL8UgAAWojBo2OGhOD2CPEXs6rtejUstNHOVbaiyq09dD3ITkyaKyxaGNpOnEwz7MJ1k0IUbx66rZBo/jGN36ZiGZ5agG5lpRVOJPRdD3aCCemaluaLrDd7iEqScVJ4oS79xX/xm2/Lyvp/czvR3Uwwj1+/egBko8ZUJJFOYoFTBJ1DIirShFMw+X+1UGnfh5jmNZyLIu8GIsRqw0u2QrIPXdo5fiul3SDGCiT6quqqnGS79ue6XQyOlIL4puxWq1Yr9ejK3vXdXcm5IG8nr7jWAQNyLEQ0adjG+44NHkofo7fOxRgA/qhtSamNuIxl2ZoOVZVxWKxGL/v8J3zPGe32/HixYsxumZAz25ubnjw4AE311dMlpHWGHKVCbc0emlHRdAxUG93XH3ylHa7I7atpClEiD4ydxmTomDf1oi/kwYrq5c8y8is5fmzpzR1zXw2k/u+7YSn6QPGWrR1NL3En1jrkjFkR2Y0WZ6TOeGmOivFqrOC/NR1JSKmeGhxtW1H24qLve862roZW7XG93ibjRYZQz7ecUv1mDd1fE6PuUrD+7uuwxpH0zcYDqKBA4olSsSiKDg5OTk6fzLXWHtQ3zVN+5kFsFzjB2ToOIj75UXyy+gT0WNsdvc1jjhSR8fseOtDoDsymh3us+Gt8roS9/Qo449WiqjF/dxYm+YsyDNHX8m1FLxCGYuKHUo5tNKHDtZQVB0Xfl9inP4iCNXfAf4H4O8dvfY3gX8cY/xbSqm/mf7/vwX+Y+Dr6fHngf8x/fxC2+kUrjdeWnq6F3TKNOLOnWSs1lqyZOpojSXP5SK1xtJFlZ7rNLKn1kMKwPUxrbbRxKCFpByUIBsodPD0XUfXtYk31VP3LVXTUfeBtg+0baRqAtt9x4vVjs3W03XggyGkWVJa7aPgn8MZERWc4lBMpbY8AamoY4CqatFoptMJucvpmgrnchSRy8srrLE4Y1jdrHnw8D56MWXqLOfn9yAqNrc7NttdUrAoHj64z2y2EM7P7/0+zy4vRyJs07SsV3t+8zd/l6vra75+u+HevXucnZ3StB37xQxnLc5A7qzwi3KHUxplpWipqjqFuUp+lTF3o0fquhlviBDEPkArO6J4aPEV84gFhraWzGYYm4sUOqgxesJ3XmJOFKighFQdDooRpxDZckz9SCXBvVqJenQoFYb9jB6MyVgsFmgtBWIkkrkcraBcnIkMHOjajhjFXd0og8stXduglJGwaS/mfm3XobSEymqtUInXFw+1x52fP4vt81aAxz+HnYlqMLrjc9uQch1LRqLXSY1K4jOMLdbUbuXIYR1ZP35Fiqq/w894DAshMplMsMaO3JnpdEpAYYxKgbwHf6m2aWjqBu87IlDXLYvFgvV6LRYGeTGiTHmej6q9AW0aeFFDS26z2YyeUoM6rOu6UTU4FETDRDiQ3M/Pz2nbdmzTDYjJcYbbsXpQpwJpQMq22+3Y3tdas1wu74QwC9E+Z7lcjp8nUTYlbdsynU5HE9Msy8itAgOhaUErbG7QymBRxK5ht75lfX1Ns91igvjN+L5DWYsrHF3boQMYZxO6LF6CWZpcg/dMypI+Ec4HFbdxTmxAjJWcOKXQ1pEXBVNj6Xwvju7Rk+mYSPd9av11OGcJRtNWNU3TsN/v6PtuFAz47kASH3y6VPTAoZCCw307nN+XX7/bUjvEBXV9YN9WzKfZyEsafscY8e0bimtRDiqMcSjVj9eRnFfpTAytuuFvDj+HvzmM7QPy+TI69ZkWIPGzrx21Lo/tIZTWybdRfKX8Z75/5Lj+iuk8qiAiotHOJUaxVwgBZwy5s+zqhhAjFkWvLF1Q2ORjeUyGD8MHf8ntDy2oYozfUkq99dLLfw34j9Lzvwv8E2Qw+mvA34vy7f+5UmqplHolxvjpF9mZaQ5XGyXEYA3ORqzxWBPSzw7nDJmVid0aQ5k3OGsl1gHInJFqOwXjaqXQdiBUiuoskoxBoxK+U5DnRkV811O3DW3X0/lA1XRUdcuuDex6aHpD1XasdlvW2566E3RpMO2Mg8V/jHhimlkURD+UWnJcYSy1htPmPXgjRVWfgi6zvEArRVU3ZE6Uc6ubNc9n11hrpI//4IJpXlA3yZsmy1icONquTyiR5sG9c+5d/EXefvstvve93+OH77/P9dUV+6qibyuafcV77z1mu6/5xW9+A5flZMUEH5M/iorMJiVFZrF6khzHRXHhk2eODKwQo8QGDByDtm3Ga1PyF4ebTCD1npTTqHVCOVKeIDrdFIf8KvqOZBZG1AGfnmuTISR98R+Jvif6ltZLEaStoFFF1kFoEYWfRakSghgrFmWByws639En6W292YAS9+c+SObT9HTG7nbHdiXmqNpY6qal84LM7TYVHz35hBfXN0jfK/5R7s2f6fbZQkf2U0Ein5MQKD3yWsTeIyFPySB3uHpVEkRIcmUcH1+F7ecxhjknnJTtbitocttx+WJDOZmS2zgWKlprqqoCpcjyDKJDRg3FerVmu9vKotBZQKV7KB4VNR2z2WxEB4YW4uAhNSBBA69paLsd83SMMZRlOXKvBqn+wNnZbDYMFgp5no+qMq010+mUtmnGIOQsy6jrevSjGgqvwWupbdsRvRreY4xhv98nc8/ssA/GsNKKhQPfdWQ4Br5riIG+k8KvrWu6psY3LSZGCUEPAd+J+bNRBouWRCcPk8mCtt7y4Qfvc3Ii+X0NMiz3PnJzu2U2nQldQ1vycpbaqVJoGeeYFAv2VU05WaK6itCL/UBT1ygl5p6ysOuomzoZk3bJjifIlH1UbGgtCRCYuwHXQ4E02A8Mx+a46Hq5NdgFRRuTipm7EUJGO4hyreR5ngrBSFkWqbM1FDN3iyfvQ6J+dHfMPH9SG/DlVt9I8h4sEYJP3Ym7rb1hXB/biOqQeQrS49GpwDn+HTVQamIaW9Uwfin00SJRo0blv00h1U3f0yuHT/YJHo2O/k6hCMfA1Bcfx/6oHKoHRwPMU+BBev4IeHL0vo/Sa58ZjJRSfwP4G8evaW14utYYHbEGnI5YMzw81gacDWTOk1kJuC1yeZ4bRaYimZN2oRDRBJ0yVpxylZbVjkrmj0MhFaMiROiCSFz7rqfrA10fqNqefe3Zt5F9r9g0kZvbhuvVjnULtYKgoU3tPUnIjqMP01HazXhejl8Ckg+QSGB7HwWNUobb2w0nJ3POlqdcX11C7CjyTBCzusU5y+PHHxGajpPZCcuTC8pyxqSUm3S7FSKr0pDljvlswWRSUhYZ9++d8+MPHvPJJ5+wenHJ3kS2+5qnz55TNT036y1f+xNvc35+RjnJcVaz3twyLTKcOQcCRe5wrqQoJumcCi4hq5tDnx2OYwykDTfcCH0MNH3AGC2t2lEJqcYbXSnxrqLrUb5PvCOD0hHvxOvGaS2kRAU+Ch8talmF9WMygYcgkTFKdSg8vVvISTJShOdO4/KC0HV0bYvLhsDbFOKsFL5vsA6m0xlojQ+RtunwUVM1Ld9/913+4f/9j/jwyRNCiJ8lpcfx/v+ZbZ9HHj1+rqPsyMu78HK7D6UICZka/NTQKZ+G5I6eoHajpCC2aSGj+Bl/yX+z7ac6hk0nkzHCxQfIvJDKtRZ0r203ZFmWUOFmLGC01mIuay0h3F3x+xjo2+Q7lPJHhUflR4RJa+HsHYtCBt7NUNA0jXhaLRaLkXA+cLRC8HcmzNvb2/F3u2Q/4vJs5GINk84wWR7bIwwty6HwGtpWQzE4ICeDiehkMmG321FVFY3S1EqzcLmgTJkdqRshgNIGFzOU1ShjUMbhY0VZFDhriEpRtQ0qdTO6PqB1YDpZsL3d8v6Pfsy9synLszOy+ZT2dsvN7Yam6UBbrle39Giy6Zz5ySnTxQnOOXbbLa6YMFvMWV6IW/Hl5SWmb8bjXSekUaOSwAkxk3y51esO9i8ojTYGZzTKilHuceE6nI8BLbTWjrYZQws4hEgbJI3BWgMY2h6MFg6R0QcOlRip5mRZTtO0lKWoxOXfwyiEGD5fhAP9GINUluWdIu7oHvhMcXWMOt15b+ISH6NTBwWkh1REHudJqjSuKHUYqwSV7VHqwAFTkNTJQ2cC4hCgjCywrRErjWgzuiim0ZFIVDo5rh8sLMbv8NPmUP1hW4wxquOo6y/+e38b+NsAw+83vebJC43VSBF1p6AKWBNxJpBnisx6nFVMcnESz02kMJHMWZxVSTIpEkprtLSBUjSAJqUbRykAVFT0MVL5Ft97+v7gSdX0ULeRutPsOsXNpuPyxZ4Xq47Op0tS6zEFXKkoSdgBXEQsBpSi6X0i6aoEWgyQTSqotE42A3JxG2OJQdG2PUTFg4ev8OLqOevVhjx3tK3H+8h+t+d7z9+hazyZnaC04+zsFJ9WJMaIwVxT7WirHdY6Xn/tIffvnfHKw/v84L33+OEPFM+eBaJS7PYNV9fXXN2seP/DJ7z55mu88upDTpdzytyxtgpnPBfhjFM9p+sVxqqRExFCTC0/cbY/8MbuQsFj7z9GvNYY7dDGye9JVcTgF+a7Dt+2hLbDxIgBdPBgM3wmHKhoJNfR9xIFpDSpNy6tX7lpBwWhKFp6L465clPJ6fDIcfWxwyvPdr8nz3KscqIAURCVBwOZytlVe/ogsHrTen70/o/51rf+Kd/93T9gu9sL0X5o9Y2kORKH6+fTEvtcrtWwsouk9vhnUauhiReUGKMKKR3xgUl9PZ1sYYwWXxyjFUYLwjwYg37Vt5/GGHZ+dh4B6tbTtH0qYsTfab1e43tF02xGNGhAbHzf43vhL0kReoiFGdStWiWhDakgVtxBlXa7HcBBqJEQja7rkqhlPrbWhsly4EPleU7TbMbCaNjatqVN+ZT7/V72DzV6GR1L4AdkaiC1H4cwD8jZsXXDcrkcka0QI7ve8+Tpp3yt+SbOWPogyL4ucggt1lmc0dRtDdZgihyd5+g6pw2R/a4SZbdzWCN5k1YrnM24uVlz+fQZ9y7uc34xQ09zdnWduJY5uSn44PGHVFXDbdVSdxGT5ZycnVNkOYuzPJHpCyKKPniitpjFPbLtFYqBfN7RdA0qtQDbVDQPhZCEQCeLgNS4GM6niRGdiq2XFXMvF7CD2i+i6JXBBwm5NokMb7R4Hmp8mmLi2OYryxJrHXl+uJa8PzKzTo+hCK/rmrycUObZEYfpwN8CPrPPn4dgjZwqGAeZlwnfSkt27MDJikfXolIpsPjo3pNj0wPDGK8ganzsUSFxO1N3SOgfkqOYWXMUlCLt3qgUwVhC36KOCio5el9u+6MWVM8GGFwp9QpwmV7/GHj96H2vpde+0LbeKdoOrI4YIxYIRkesDjgTcQ4ymx7OYy3MCk1mA4UJ5On1zKg0wDO66Q5wnxnIc0cSJIWijYE2emlf9T3ei9N53xu6YGh6uN1HrtYNVzc9q9tUCCuVKuMBOQGdmLnS0wUiGDQhCikerfAEuiCuukZbfFBATwyRal9T5DknyyVtV/Ps2TNeeeUhk8mMrmkIPnJzsyLLhIy63VT8+IMn5PmUF+s1//6f+3cxViVekKyA+7ZJZpag8UwLx5uvPWRSOF575Ywff/CYH/74A65Xt+yrhttdy/MXNzy7es7Je3Nef+MRb7z2kMW0YFY6JpOS+XxG4ZIKMIgc2yeZspAHwxFZcXDDHdCiRC40oqSzWYY1diw6tEICeDtP19aEtsXXNS7FM+ig8crJ6tVHfBjMWcXjymY23WABguQjyk1iUUrIrj6aVPSqZCGQIGOjpVAwmqIQiNx78doyxqY4IU97Bs93O6zKyazlw8ef8uv/5Fv841//dW5u9mhzl4yu9ID9JONL+Fze0s9jS6yGlzCqo5ZfKrCiElJ61FI9Ka0kIFmpVLQmMrrW2AFWVxqLPP8Kbz/VMSyEwPL0vvjVdRXL5ZLlcslqJREwi5NTdpsbgm+ZTCYjUmWspUscpizLBFmICqWk6Gq7DmsO3lPKaKJW1LuKk5OTsTg75jUVRTHyYu7du0ee52PQsveem5sbrLXS+kqWDVVVsd/vRx8rmzlm8/lYKGVZRrWvRm5Vnuf4hEyBWEPsdrsRlRpsHG5ubmjblouLC+GYHXG4ysmEfrdnNp1ycXqO05bddkdRTjDKYl1B30V6aoLvua327NqW6BzT0zMyl9E3LbERD76oFd5K1qdC0faBZ5fP+ejJE/6dP/tNfGyJDcxPlqy3NVEHfvij97m93ZLlJXUXWG13PH+xIv7ox7z55hs4K8HgtkjjmXFUbUc0E3pvKbWmLCfkecZ2s6Gt9wR/sJFRWo+KOkFWgnC50oSdFyXGWNDiAXWMzAzH8pijpLWm7T19GBD8oVVl0MYI8q0UYIlRzl1RFMxmMxaL5R3fp7Y92DoMj6HYbtsWjNBl+hjE4JnDAmlo5b1MSD9WIr6M9qjPKaYEbdOomKyLOBSQd5D1MHA+X24bxqO5RYrDGHyiHggfDwWZ4bBojsLBikkgJgWuIihLDAej0fF7/GE3/9H2Ry2o/nfgPwf+Vvr5vx29/t8opf5nhMi5/qL8KYDVDjb7gbMjF57WYVzxOgfOQmYjmVNkGUwL4VoVJpCZSOYimRGUy+iIMwrnDEaD01LBW32ACaXAgEZFegLR93Sdp/PgvSIEjY8ZVRtYbXuu1x2rbWTfADi0Fg6E0f2IOgnpXJAqyTTSqcCIoMLIa4qp0RsihKggGqwRCedufYvqG5bLOQrF1bNPubi44N69e3z69FP2uyrJlzum0wUoyzvvvsuLm2tmsyl/+hu/gJkZtIblyYK+rUeu036/Y1+Jp82jhxc8eHjKq6+9yqM33uDJp59yebXi6dULLq+ueLFa8fT6lqqp6LuaP/n2myxOlpSTaWLJCNQsaB+gtHiE2SEstRbYVYudhPiaHJyTVZahrWMIRT5GsjKlCbETjlrX0TU1LnlaaW0IDvGZSoWA5C0mJZIXYmOM4qZvUmGg0r6GvicGKyuXIeMvWWroo5y6pmkSGRiczcYY7j7CzfUNbQz0ynN5dcVvfuc7/ObvfJfL9V5UmwMCeocpN7REBz7ZH8+mD/h5OuR30bLxuVJErcVjyiiU0WCl9TFc12J9IUiwVQqrJMDUfg7q9RXafqpjmDFGzHsjIyF8tVrRtkL0bpqGtofCZUd+UMI7NNaNyIC1luTzi9ZiZdD1HXmeMZnPMM5yfX2Nj57Tk+XITxpUggPBGwSxGnhU6/V6NIoclF6DbYHcp1Lgdb4nt1p4qXmOTzE2Q8gxsbwj4ScVc8Nrg+Jw+P+hkKvreuRuidJwQt20zKeitnv8/o/5tV/782QmoywmRBTWOKp9I4vPdsftfs/Fq4+4uV5Rs0HlJdo48qKk6VqU0Rhnud1uaNuG7XrLh598zKtvPsTkwjF65eKC8uSM9x5/jxc3a3Z1j3IF+XQutg8etlVL9clT+hB58403eP7D93n77beSMCawODmlaVtugyUEw0QiL2ibPW3XjtYDd4shPRZYcs4t5WSKS/5dxhg6L6q2z7MXGD6n6z299/jQEwbuaroGtZK2l2TeSvamc475fMFicTIWx0qZket2aB8evKeatqHuhe82tL3E5++ASMFnaQVDy3LYXkanpUBUY66ttK27o+IpHr3vEKo8FIBASsN4+XNDWqgfuGDDTKwT9K6l6YHVERdA+hjJfVulv5PmiDvsqZ92y08p9fcR8uaFUuoj4L9DBqH/VSn1XwGPgb+e3v4PELnxDxHJ8X/5xXdFUfcmje3DQZGRRStxSTdG2ggDemUNTCcBZ6G0EWfA2YAzAWc1mQZnItaqVFxpQb+S67omolXEaGiGA5yk+97DgFlEFdhVns0+UHXglUFnFhenRCyancT4elEakOToKsrnaDWcNNLyP+CFESiDZwrNVciNKSaBUczhuo75tKQOHberayazKScncz548oyTZcl8MiNaTXW74dknn/L9d35EXe0pM0d483UW8wmT0xOsyemaFqMCKubge5qmpo09Os9Yni755eUpr7/9NR5/9Al/8N77BK0xeY6x19yub/n400se3r/PdDYnL6bSDvIRzKHvb5PFxUhGjJoYRbKrdAQrRmzjCiUdGN97ogo4l5FnuSS5Ny1NVdM2DV3bCjrnBOHTafFhCONNY1QgaFl1GN8RvfDyjLayrzFlK0ZxWA8eovdoa5JDbiD4kNAYuSp1IvGGKGTJthOzuiZ0eK1wruT6asW3/9Xv8c9/87f48MMnBB9F9eMFfCethKTPNwRxf/E743Pvln/DD/hJ7KYDfyo5/CPH4y5CJZyGQaY8FlMm+cBpNd5XX4WO389jDDPGcHu7RisDStH0TWq/6bHd0zQNMfFUBrPLEAKT6YTWGrq2TWaEmr7z5HmyijEGnTmarsMRyV1GVzes1itpvxk7TmbDJHis8DPGsN1uR8XgYBbZ9/1IYC/LCVmR0/p+bCsNZqUxxtFmQRnNLHGf+iRNb5pmNBEdULDBxFN4WodiyxhD2zTU+z1ZXlI1DUZpzpZn7DYbtHXcu/9QREHJyLRvCrIi0vSXGN3zZ/7cv8ev/8N/SFt1aMTOQLkMVzhevLim8YGzswsur1fsfUcXIvu64+Fbr3KyPMPlGdHk1D1kkzkuz9ncbokhUBRTST3IHX/wzvep64azs1P2Vc1sMafabAhK8ezZM7a7HdvM8ScWFuXrkYPU9T0ohUnWCqJOd3R9JwsppciyQooDDgR0rWW55tNNc8yXijFSJfJ/33vavsP7Lo0p0tISBe6hjZU5l/y2pICXMffQnjvmZQ0WGtv9ls1+y2QyGcUMg6Hq0f10hyA+7OtwrQ3X4jEKdYyCAfS9TzY6R8XSEfqltaRaBA5F1ejpFu5yrOAuZ0sJqXMMQNapWSidCFI9EVBBflfaiZIHHFSaqO98/hffvojK7z/7Cf/0lz7nvRH4r7/UHoybGKmlTi0yrBvA46ME4fZj22Zgd8CmloE7G3kcsjK2JpBZQbScAasDeWaEtK6B2EM8tBe9OhBs47hC1GhrQTu8sWQTyzy35AtHHxytn9L1Ed8/p+usyOoHm3Qk/qTv+tSOkv2TjlaUgoqxAZR6zPK9QhSuT9NI5tViPuX8/Jz1Zk2VIPpykrHeVigcdpahlGZx/4J6v+P9jz7hn/3Lb+PR/Mm336CcdJzMJkzynKaqhGemNTc3Hbtqj1FiSolxTGYTHjx8yPV6y9PnV7xY3WJsCuj0gabr2Wx3zGczZtNTbLSjjHsoqCBxMNKKe4C6DyuIA7LhjRUSf4r1McqiTAob1Ya262jqmrqu8G1DUI5eKSEQ2pYicxiitAtTf9wHyWsMMWKNRBL1IdB2XjzHQkB7qH2HywOutCLVDr0Emmrx2JILQrhDIWUH9t4TAzQh0rSB1XrFd779PX79H3+L3/lXv8uL6zV+CMYbmRIvX+l/zFtCRqMiPT6ntIrDD4l4iFqLy7BRRGPQCD9RJxdik5Apy4BOyWtfhe3nMYZ1XUdVVbz99tfYbrYi+U5oxGSS470Qyne7nZCu06Qx2AoUec5+t6euRXmHVnSdRztBZKuqom1blssl5aRklaJdirwYUaihmGqaZkSnjDG0rSQbDOacXdeNrR8hKmdkk4K2a3nx9OnYotpWFTEElsslm82GruskmzDCycnJ+He22y273U5cxouCrut49uwZZVlS1zXT6XSctCX4PuJbnzg/BusKbjYblNKURUnXdISIWJeYwCQviXrOL/7SCe+98y7Liwf8pb/8V3jywQdcXz1nNplQNzXzkxmPmoZf/IVf4Ld++3d4/OlzTs7u4YoJ5/dfweYFTed5/4Mfom1G6yMmK1DaYVxOmed4FHXT0rQNTbXnD955l9dffw2X5fQffcT5+TnPnn1AMSnZ7/b0jeUqm7M8IjS7zI0oi3ViY+CcYzKT4+D7KAhgIvCPlAgi0QtiPnzWgU8UKIt85DfFXsYyk5RqYsMQJBOVgM0zFos5RZ4N1zXDyHOMgA3tV+89XRCroOPooq7rxuIixIDTB+7c8FlwQNAOf4s7RdTwPh9EeOX9oYi6S1w/jI9C7Qh4uMPLG4yaj/8WHJPgheAZ1SCLUWkBKApkEw48XJXGt7FjReK8HnO4vsQ48BVySo+AOGzf/QrDc1FyDMXUwEOpO6nKq6MCBRjbhEJwFxRLK49W/vBv9sDJEgO9lPJtwTmNzRyFLjG2oJxOUSbH2BnGTVCmJDKXOJp6wXa7Yb+VwXLYRd+Jc/Dt7WaE/CWORopBkzpLXeBITZC+G1LA7HYN292Os7Mlk/mU6xcv2Fc1j157lU+eXrLd7ujrlqKQG6duanzX8u4P32cym4n6pes5PztlMZ9itcPrSHSebDJl1za8uLkW6HwyR9HR+l58sY4UOtpY8qxAG0tVtXgfsTYnU/m4cgghJrWIyL1fXpkMgypIO0IbLe7kkdT75rAyQDhMMUr0ZdN11Lstps/Qs4kQ3/sG1Rlir4hG4/KcGHq5qKP0yp0yqOiJXYequ8RdUhgfaLqWYjrFOeFVNSEcjPlU4rn1HU3b0XY9MRp8L8HK67bhB+//mO9+53f59u98l9/7/fd4cXWblDUHD5Xjc/rT3F6Gor/MSupz36mO+FPppRBf4lCZVFS5PK1GVcrUFAsNUWqCM4NE+atj7vmz3kIQp+2q2tP7nsxlbPeC4qxWK7yXCJmqqjDGMCnyUV03WAdkeUbbNmNUiCfSdYF9XTNNIctt2+IS/2m9XhOJ3N6u8T6MSq7hWqjr+o555zCpDSRynYjA27oiJ6QgZTWSqQcOZpXsFQaEabfbMZvOOD09ZbsVm4fMuXGyHwjQZ2dnbLfbsaDrfUvXNUzKKZPZjCzLMTajaXumxZR6X9F3wkVVWu61AfkKIdB6ePDwEd/53jv82q/8WebzM4iBrm+p6/2+kQAAIABJREFUqj1nZyfUTcP1iw3l4pxituB2V7FYzDBZjnE5u6phvdnS7T37psd4RVk4YlTcbncUWUbo+1S8SDzOzc0NH3/8MbP5nMVigXWOzXqDbzsWJwtcXoptylHEi6B19o5lhbUOhcHZQ1SPTos2pc3IUwq9l7HRWowCfA+F2Bw0TZtQRbHqGLhyMYaxs+Nsznw+IXcGZwSzqqoaYyxZJuKDobgW9CmiM4NvDypDgH6wfYhDJI3EjA0GsIOlw7GlwtBKfJk/JWIKsSs6bu19no1C8GEcO5WS2J/+SPkXQ0jE82GmHAq7ZBytRQUaCfQEKZ4Q5NhqTT+i6xFCJHpPUDHRVw6fqtLf/zIw+1ewoIK7RdXRz3A02iMXohRWx8SxBEEGRRcE9dHIBRFT0Wk1FDkUuSKLBhcUNljhOxlFlmm8duTR4cyErJgyO79gMplR5DNcVmKyCVl2QowK3c/Yrjfcbjb0TZvUZRqCQO9Pnz7j+dUVN+sNTdvR+widZKFpBV6L+25MUKP0qSMEaLvI8+dr5os5b7zxGlEpnjz5CFcWnC6X3PoV++2Otms4PT3h0auv0tQ1l5fP+I3f+Bd88tHH/PIvf4Nf+FNf5975KVZrXObInMVO5xS+59Or51TVilcf5TR1w+Z6RV9XdHVF8IGiLGmSE7DvPVobvA/stnu8jSlwU4+rsmPn5r7vyLI8QdrCEBxkstpobEiFR+rn6hSG6oM8X16cs7OGtqmotrfcbNaE2DPznkkX2a9uWJzM8ErRKbBO2ndDKyRqwDmM76CtUq9djvW+aTnlkDlI347XldIKZwzGOfoITR8IQbFvW/b7io8vV/z6P/oNvvUb/5yr51fUVYsAC4K0qp+ATv2sti9TYP2kfzl+PSZen3hPGTk/WmJBtBKnaGOtOEZbS2YsmdE4bYSUrhQuKW3/bdi0NkyKAq018/mM1c2KJoUi17XkPWaZI8tODwo+vyPLzIgatV2HDxKIrpIjd/SePC+wzpEnJW3mMmIhxOHNZoPvepzLxmgXEGXekAF3HHB8cnIyGoQqpeijp+06ur4bDTmH0OSiKMTjqizRStE27Ug2H/iKQ8FwfX0tJPdErj+2cggpV1MrhUtoWpYpdruK+eKEqm7ZbHfc3Kx4/a2vsThZ0rStmG1yaIlliHBlf9vw++/8gNOTE9588026tsa4nMortr3DljNeefURb7zxJo9/+B4uK9DGEdE8f3FDUAbVbYldTdUHlDLs64YiEzK7s46mqoUz6fuxADk5OcG5jJP5CYXNmD64z3ya47Tn8UfP6fY1kyLDugxjrbizJxQqhIjVFmsjLlEiBCVkVNkNba3Y9wTvUfTilUeJ34nnm0/7E3yfUBudrGUOPKTMWTJryBI5P/qW2Mt8+LKaL6TM2uFaCSEIEZ9hkR8xg6ej1qgQk/Dn4GkmHYhDVuEx+jUuqkHmxKMi6nDvHLy4ht/3vU+dzBRsr9TY1TlsdxEw4a1ZtMuTZdGgDhRawjDCaaUFXNEaFQIE8YgU5o0WksbAE/uS48BXqKCCAzH25fIIxq82qvMOEOYA8ck2ClLTf1KB+1RcWQN56ZjOSyZlRuYMOipCFQldQ8DTozE4lCtwxYxyNqcoZ8wWc6bTGXlWYF2BdZYYInlYsJjknJ3OiX1aKbo89ZMDz57d54PHH/LRxx+z3e/oOs+2rtjuW9oWrBF0x/fSEjMaksUGvoPtvuPxh59ineXRa4945dVXeecH7zKfz1mezDE6sl7XPH9+DcEzn81QCta3G37rt/8lT558wPe//y6vP3rIwwcPeOP117h/7x55kRNjYHFyQohrVqs1WVYKuhA9odpTvbiSPKTeE73HZo4e2DUN6sWKSS4Oz1mK2BhWaEMvPSYi42HVJi2IAf6nlhgLm2Vo4xj4AD6R0bVSnJwuKXIJM/3Bd7/D/uqKdv8Rzz/4BOsyfvXPfINHrz6kyDM0hrrao7QmL0r8fksfIh5DNBaDpms79k3HpuuJSrzKhhZNTARFL0oBtDGEoOn7SN00PPnoY5589DG//Z0f8M/+6W/z4eNPE5omqpqu9+RZmZC4Y2TqaDD4SQSmn9MmHb54REi/eycpEo1ACW8sJP6UNhrMIO+WAFJpZ5iUZmDEokRJO/Cr0vL7eWxCzDcQIldXV5ycnHB+fsE2cZTELNPjnLTlJO9OY1MxNfg4aWspi4L9fjsiEFqLSnVU66HYbjaCOmiNdg5j9KjOGgjGIYRUyGXjgufFixfMZmJcGRX0XTsiVwMCVVXV6PA9mEGenZ7y7NOndxBmpTXzxRwiY37gK6+8QtM0DP5YaM1mtyf6Fmcd08kU7+X7G+1Yrda4rGCxWNB2HXXTsN1sKMrJSEpWSgj6Simm5Yy33vwaHz/5hPVqxbvv/pDT0yVuNqXqWrQ2KCsq1Ml0yvnFPRbTAqU0befpfaQsp9RNx5RL9inaJ7NieKWBm5sXdE3NbDaRMUUrZrMZk8mU+fSEGHr63FFmBnzDj7//Drv1NUYF9HQyEs2dcxRlSYzCGTIpgkfaSyqZZ3bEIy8mKZY8XdthM01QgRjDKA5ompqubfA+GX6SeFNBHOGn5YQyLyiyHGuM2HL4HqfB5JMDyd0aQicq0kGQEEKgSHw/YDzugGTgDfYdyqcoOHuH0H6Mgt41yFSHCY3D4u9lm4WX0arhs17mMo3Pkz3CUExZrVPaiBeLF0icRuFCE6PQQVQcqQqagdQehdCvRRylh3Zr/HLWNl+ZgiqpGz8zBR3Kp8+ZmMbnw8lSR78Vx9ciAvFlmWUxm3B2tmB5Omc6K3HWor2m3/dsd1uquqIPrfRVTY7NJ+TFlDwvKIsJ02lJ5hzGKJwL6KhwISO3mkmeoZUmzzImRSnkahRnyzmzWcnJYsrqds2+brhZr3j67JL1tqUJSoqpGBMJ7/ANQvp2m23NB4+foI3m/oMHzCZTWflmudgXFDnr9S1PL9fsd3sePLzPG2+e8fTTT7h8fsX7P/6UvtN8/esX/If/wV/k137tV7m4uIAoJNjVas2uqrh//xEhiMHfkO8lMlPJ6drsttzUFX5nCQ4m2UwsE9o+qXtEwTY69R4Fsg432TBwB98Q+04og0ZI6yGFJCutsCZdntowXSyYziYsZhO2m1uevPtDvvtPf4cPn3zCJ49/wNtvvcGf/uYv8NYbrxO8kGebyuOjoukDXYhEkxG1oe08t3VDHaWQUnmJij2xqRJxNNKGNACWGRFFVbf8i9/6bb77ve/xzjs/4F/+qx/IYOjlcktxnKOE9+71+MdYPX3ONsR0axQ6pIAYdYiLgaM9Voao5aG0IWo3XqDDgGuVTrYJgkzphM/9Eayd/j+7ed+LAzpwslgwmUy4uRGn/KqSQO/BXXw2W4wFS1k49ttVQmwF9bu9vWU6nTKfTWiyOvFu+lGl1eyrcQIzWoMKqQ0TR/L5gEoNBdVAVAdo2pa6bcb3KaXEXgSOLB1qLi4uxmiZEAJRMba1jDHcv38fBXz4+EPu3bsnSrXEzzo7O+N6teb6ZpWKi5zFyQyiwvcepTXWFTRtiytKue8Q+wXve3z0ia8Dx/eQIpJnjtdff4PM5rxY39Ak8ndGJLMGFTpWz3u2txvKouD89IyiLFnfvEgqYylSz86XmF3Di31P3zQoAmYaMUqRFRKkXOY5y8WChw9e4a23vk6ZG5pqS9NG9usXrK+foXzLfFKQ54ZJmTNbLEZEJ8sKeu9pmhZjk8AlRLK8YLvd0nRtMgFNY2aQHLosy8hyx67a0DbStg39oKI7xA/FGGnbRlqeyyXz2Yz5fHoohFIrUCtFrjsCJT54Wt8JVze1hGMI2HRehebRAVLI+K6HGHBFjrEJTYoepQ5qzoGI/rIfVYjSI/pJa6uXye3D4jsE4YPFeLCYGLlc4UBmV+nysOrIvyv2ROXSAKVkXoliuh3CgAhKoaS1jIE+AlFi4ZRWqZvy5bevTEFVDB4c44CeqlMOhl53Syk13mKJ5s1AK5PADCDl5uWZ5mQx59VX7/Ha6/e5/+CCs9MFk2kpHJ5Ws9nsubx8zqefPuX6xTVd6DFZRlZMOD095+LilNPlnEmRiUqAgHMKHTR4hcotThsylwmpLyvIEhx+72zBxemM1x/dp+t7slwCdZ8+e8o7P/iA997/mJvVmrpu2O5qmiagFWAUppfJK3i4Xde88867PHnymL/wF/4CRZ7x4vKSjz76mO1+y2ySc+98Sdf1PL+84vLyOffu3WMynVFOa25uVrzz7iUffvR/8pu//R2+/ie/xp/5pTc4XZ4xWwjf4A++/32UMnS9p5hMcG5L1XZ0nWdfBb7/7vvMT5YsT5f8xW98k5W9pQ09rzx8iNKa3XZDOSnF2iCtoIA7fjnjAN0pfOjEE8xCoKeLgag01jnqFCwqfDNpwc0eXDC7f87rr3yNX/zaN3n25EN2tys0nsViSdWmqA4SyVwbVJYClo3FuJzCOZbLM75+fk5eFPR9R9e3BCUtrs57Ioq29WyrGz75+Cn/xz/4v/g7f/fvUzUtVRXxcSCTyvcLQWTew3dLr8rjuLAYa/0/PvRGx8/+v5RB4lTrAa/A24zOOiBQRE/WtexzRV92hCwD65OtScSme8JERCSg4uAX+m/FJgiQTNT77Y7b9S0BCRk+Wy4JEVbrVZKK15ydnZLnhdgeaIUtcmbFCaub1agKfP78mrZpWCxm7HZ7YoisV2tC4jidzGXiDt7TdS3Be/LMUU6m40Q3oMJa6zGHb5D0zxbzkWjuvWe92aC1HrlRTdOOQcdN0zCbzynKknpfYY3h+vqa2WzG6fkZ9V5QrapumM4XPHshCsTXX3/9jk1EmTmyZUZTtzx//oJyMsX7wKuPHnF+75wXN1eYzGByi8k01mm0ScX5gDAQsDZSnE5YlIqiyNCxo2t29G1kd7vig/f+gNubS/7Un3iT+2dnbDY3zKYlWkWKoqCuu8TpuSL6DSEvyPMCFQOTSYnvO5anS954+21ee/Qarzy4T5kF2v0t3e2K/eqazeoKYyIXSyHjazE+ZHqylPgbLa0wEy1FWSS0w5BnUjRvNhv2ux0aRW5dOkYtfegJiOo5y3JigKIs2ezFwPXgKSbolXMTnDVMygmzBBIM7vXWKCZlkYqRAFaNLca+l2QQxRB2DNJWlALLGfETVM6MqJoeVVuRrt0SoiaEu3f5EHIPSPtaf5acPhScx4XU59lFEJFCKB5Q1z4tJkZVoDpqSabnBg/ayUKdSIg9PopgqQ/SgQhR2n/OijCqT9xZWWIGuT5k577wOPCVKaisSSq/8TgKZBej2Bv4o1V/HEupsUGRyqvPMvOdhenUcbIoOT2bcXY65/x0ztnZjNl8SuYs1T6A6tnuLC5XGCsX/nQ2Ybk8YT5fUOYTnMnQ0WABa6B0DqusdE9QIpF2mYQ3Gy2KAgXaWVm51DmRnJPTU2yec//+OcYUxKD55Kljs92SOcn6mkwnZFlO1/Y0TUvXygpVhUhbtVx++jFvvfkGb7z+CKsVH34YeLFa0bbNiJL0veeTjz+lKHOmkymnZ6cYu6NpOp4+u8ZYTeZqfuVXfiWR+TQuy3j27Ir9vgEUt5sNxmU8fPiQpu2ou5rtZs/9i3tErVht19xub5nOpxS5qIqurq5QSnFxcSG9+CCGm8cuzgAqaPDCAejwKOPpYi/ZXMpLn14roo94L0WVj0IcdEEznS+ZL7cC7eJRJqP30hXO8oy276lbT+4sJ+cXFItTdFaI789sAnlG3/Xsqgof+hRVZAhdJ2pEbYkhsNtVbG63qKjRUSZOYLyBB4O9GAfIekBn4t2LMW1HvMyfyfavJagPEPZxB/2lwice3ppIpJLSR4x4JUIBkvRY47Gxx+GxKhBpCDiCUuOi6N+GbZgE6rqi65LZojXiUO4sV8+vcckjSiwUhDAevViDnJydCtcmqf4Ghd69e/fYp4m073sWszlVtR3RW+Epipq4nJRyjyWpO4gnllaauqpk0kk2DsYYopdJdbvdpi8RBBnJslExeHt7S993Ixlda83iZEHoD3E11lpOTpdst3uCtjStELQvLi7GIOTBx2oyn+ObBpQoBYui5NnzS6r9nv1ux2Kx4OaF2MP4kI3I9uAEHrtI17XoqMhCT6YUmVbQt2Q6YjW886P3+PiDH5OpyKzMcVaxnM8JZYlfnOCDZ+ca4bP2gSzPWd9umE5K8jwTlWo+4+Frj3hw/5yTWUFo96xv9+xuXtA1e7pmT+4sXdew31e4okTbjHwyJWiHygsyo/Dt4Jju0ErsKzabDW3bst1s0FHoAiEE2q6l7ZrEQ7VEPH0fiSpgXPKh6jqMsRRFmdp0nhA8mctEoZ6uR50EXELqtrKwLGZiHZNihfquG1uq6QIYW1w2IZ9KJ54UojYMwafxLRUwcTBrjiNVwoe7Y9CxxcHLCNbntfKGa3cssEb1Hp9578ttwjvPJX8Mjow/QR0AzyjRNEagdpTWdD7FK4EEx3+O79W/bvtKFFQKcEo4GyGRs4fY1cE/SESligMyNWyfnZmGr2805IViMS85O19wcXHKyXKZohjmTMoS6zQ+9LjKYq1Cm4C2isxZlssF5+dnnCSOkMFAr1BG4YwlIyfPDgObNSYVU3asmocCIrcOawyBSJGLPYGzmjdee4X1aoXva2ZlRpk51hsJVT09PSUiflRdXUuCedeRZRZLZHX1DE5OWJ5MCa8+oO9bnl3e0vfgMpXidjRN19Os12QuF9Qp81RNzZMnH5OZlnIy4+zsAm0dWrfs9hXr1YZyMufRa69z/WLFvtoT0XRt5PLZFTrCRMXx+FyvbphPpywXC6KX4mSzucUeKUCiT2nnzmEQo0irLFFH0MmYM/ZobYjeE3WQYOTg6eqWPiqyxVKIsiqgCsNkPmW/3+C7SN12FDYHFK2XnCuvHLqYkM+XZItTohbxwbZpUSEpEqOn6zskY1CuOe/Fy6xre/a7ivlswRuvP+Lq+TV92ND0UsDHQUww3KXq5dLksy0/KWg+/yb9skZyX3a70xQfFCwqLVIGPgMjtjaaVaYDI6vRPqC8Bx9FmRQETo9e4ouiToqbo/Dk/79vxohZbxMCZZnT9575fIFPk0JR5mw3O7TesThZsN9tsQZ83zEpSzJjefLRR+R5zquvvsqzZ88IIbBer8myjGlqxXVdx9npBXW9o21atlvxT1rM5zLeWEPbNsnXTdG1LSEpAIfxyCSOzH6/ZzKbigw/qau2txtInCGAoijY78OdNmLbdTjrxjgZay23mx0RxTe/+U0eP348WkIMKMSAkj1//hxnLYtyTp5JuoJzjrat+c63v83FvQteee0RXd/ifI7qRZyitCKzDqsNKpMYnGofyaPHKU/vW6rtmh+9+w6Xn36MDi3nZ6ecncywWuMx3G43TKczvNfEqDg9WTKbzrm93aB4SjmZcH56is41s5MZ58tTZmWGoaO+vWW3vqHebSiyjNmkYLvdYaxjeX5BPpkyOzmlJ4KxmKKkVQrbdShtiUrT+Z4uqT6jD9CLUWiZFzRdQ9s1eO8py4LpbILWWvimoUcbUiE1SW3DkHykhFxulMa6CdaYZFTMWED0xtFhscm6pmtbmqQAjVF88QZBlEb4Uj6GNI+J6bFKfGQpul4qXJDFpLT3hF/5su8UfH7xM2zH7z0mmR+jVsfvO3ZqPzYbPf5bEVC+E6rH8F7gONQ9ImOcMRaicNH6kHwi1ZB08sXHsK9GQaXE/Tyk3DMfQYU0oKvUvotqPAx3eVWfPzEpJbYIRZ4xnU6ZTqeUZTmu/pzLMSYjRoVXhi5mNMESlaMsJ0ynE05PFpzMZ8ynU5yVIsAi/drc5uQmw9qkztAaZwzOCDEXpNPjtCEoWcXlztEl7wtrDJOy5N7ZKeenc66eZ2ikGm+aCqMCk8KRFwWZy3BG0zU1VbVDK8VysaDar+nqDS4vmE5yTk+m3K73bPv+APGmAlShxbA0gDIWZRxd3/DDH33MZlvzzW9+g6KcsLndsd/vqeqGza5hfbtJA0eGtRI8uN1UfNx9An3Fr/7qn+XV1x6BSb5GWmFzh1WyotFaCLPReyEL9in4VBm8iimOJYVJx0Ea64lBWhR934tBphLVRrXbQwz4XLGr1ri5pmwc25s9ALv9hpP5CV3vCUpRTKdMFqfovMRHhfeR1nta48WPRBmilqK97zoG/xKMxmlH6Dy+DZwvz3jtlUeU2YRgn3Nze0tVVfS9tCRVMhtVKXLniMLHZ1noP3nF87Ivy89kU8fDibr7D8fcwzRAqsSh6yLQe3TvMT5ifED7gPIB3XuwwsdLRIWf/ff4Cm3Dqn9wK1dKje7gfQzJk0jueWc1TbUhODcacG43G1zyK7q8vOR2vaauKhaLBc5a9rudKMVShp/RDqUEORraZnJe5ZhbY6jblj5E5vM5cCD3xhDpUlqBQrL4ZrMZV1dXABSTcjQBVUqNnnJFkY8cKess6/UtSon4o5xMyfOcy8tLuq4jz/MRnRr8rvpePI4WiwW3N2vqXcWj115HGUXb9xSTgm996//hP/2rf5ViVkL0dL2or4LvccUEPYSrpwUPPXTbLc+ff8rvf/fbWBXxTcWsLARBamoJ9+49RZ7RNnWK96oIvZj0rlYrXnv0KpNpgaKlXC65f36OIZDrgGr39PWWrtoymxRkzrJeb7Au5+zefTwQdU4TkkAgz1BWUNqumOHaKjmQtzRdS9+0GBRt0xCJ7Kpt4kK1lBMppubzuVi29K1k3HU9XdeMKs5wZPHifcDjkwmsHc81SqGLGbgcc8R1Eh7ZS6IZkfXio5DbB46WM5a+7wTOeKkAGvbDh0CICm1yNEdKvdSWGww/R8WePkTLvFx4Hbf8Xi6oAtLyfdmp/fPQqeORTYU+RcuA2MOohE4lqxglcTVGG3wqBpUmpRZ8uTHsK1FQacAZL4n2QdxMexL1JJI8kQ54ZogDb+rOrHXnmdEioRdnYHn8v+S9yZMkR5rl99PFVt9izQQSQKFQ1VvNDGeEc+JfzTt5pJAHisyBlFl6qhrdhR2ZsYevtujCw6dq7pFAdRVmpoXoLhNxRCLC3cPDTE316fve915RFBQnZadMUWb/lHEcUErRNA1nyzNWiwWzqqCyEUWHIbnf2gpbKqq6QtkRlRBzoa10OWklLc9kuwYxYKurCp29PXygLktWi4bzZUtpFVs/oHDoMOJdJAZHXVgKKxqwtrliv9nQHfZ89tkvCW7P8/MzD49PbPZb/DhSF5HBikO7ixGURymTk1RS3VhRFBV1oQgOvvr6ntvb/5tPPnnD6vwcY0t82PH23S0Pj7Io1NXILoygFPf3z8znhrOzmofnZ+4eJK9rWCwZx1EcequKuhQQVhYF3skE4scBP4q+ygeP8yM+epSR7YCUKyRaQbxoRhSawlhQMA4DOka2wyiJ6M5RlTXFmcL1A0PXgVKUxmKLgrKdUVYFDo93HUFZ0Ja2qvH4yd9EzPS0TE5ezll2kb68uOSw7/j0k19ydfGasSiwtwU3N7cp+kMcBeRmzrqp0xH5P7bG935J76cAl9OPFdX7P0k70XTPxcRKRekywMeI8p4ihPSImBAwMaCCl0FnxBE+JkD/54KpchlkuVhgU/TKfr+jqkRbY62VzjYVOexV8qwSJ/FsO+K9pyhL9ocDWmsuLy8l7iVEVqsz0VZpOOwPKcJFGKDg/FHMm7Qm0Shm8/lR7JzAlLXCnmeGyRrDbr/jm6cnlFISXFyU+FT+KUuxY1iv15RlMemh1us1WhvKsiaEyGxWS5xMCj/OAvzHx0eWyyXGmCn+5uHhgbquWSjDu3dvOXQdw9hTz1r+/b//n/n0008wZck4DtJdSsQHg2paEUunkPLDYcvT/T2b5ydu3n3L68szHm7fsX68p60rxr5jT5C1I0S6rmO73TL2I49PGz795Wd473nzwWuayuD6JxarJfN5jQo9bV3SGM32eY0KA6+uL+i7nsfHZ9r5kqqZEXVJN4x0vafUAyWSLVtFWYNiWRMJxHGk6yT1wfUD+2EQk1OrCcGKJKIwtG3DbD4DDS4I+Nlud/RdT1HY1CWK+JkplToqjfjyGYM1BSF60AZTtWKqmI5s/5DHwwRinJdyXvSJiBDLh8IWaVN+ZIVOtU5SmksaqhhEqK5f5hFmMKXUMecvg6uj1pQXAOt9RiokMHXKSOWf5de+PycqTufJ9FkiOZQEzTHNVGcsocGaAj+K07zWKVj5J8zdPwtApRSUJooQVkl8i4oKp+QPcomtSq5Tk2pKQEs+MtqUk2mMtHgWRXJ2nTxxjhdK3GFFLCmDXXxYZMc2Y55YLWPEE0b8rCLaBrCOYAfpbCqknGe0EcdonWjSmMR+3lNaS1WV4rHkxOCuLAxWwdlywWLWcHt7w9gfgIBVIu6ty4LusGMcDM3ZnFLNeBoPvLpYUVdL9ldnfPutOKDfq0BZKKyGrgNtpfCilAMf8UHhXBCDOa3Yjx1VZbl6NSN4uL1/YncYmM+XzJdLzrsRHx55eup5HmRHVBjNfDGjHwb+4fdfSY4g8OrykvV8zWI254PraxH5DT3Re2ZNDSGk3WEguJGibInB4BOgMtFgS2lxDS4lLXmHG0aMNmirIKQ8RD+y7w8SQjr0lEozOpdMD6Wdu2wagjHYQro9fAy44PApEqXsFThHdC6FaaYSXtpZjcGxftywXF3wycefoDDsd+IptmGkbmqUgtvbG7qul26U1EWSK2l5XMqh07bpfzzC+EmmnonKjhNzlh+ii0oY6qhIjKCieLWECNqNFM5TeI9NwMoGj/JOHsFCEJ1Z/KcWi/2cjigltGXq8HIh0HWHySU7hMCHHxw1hfv9nv1+P5kkbjYbMdZMHYHZyLMqK4zR9F3PYrFgSMagEuUimZnjMEq3H9AfevaHA5eXl9R1zXazTcyrdPDlDr2849/tdvTDMFkyHC1NHENdTeJmEcp1mHmcAAAgAElEQVSLX9s4jhSptL7b7ZjP59R1zamxY44sqZM319PT0/T97MI9r2vG+ztpaCgLut2O6EaMgraq8CobQkoDyHr9TGEsZ8sVD3e33Lx7y/27d0TvqcsKHXsOuw1VoSmsBO7u9zuCE4Pl7XbLF3//D3zwwQf8zW/+DfPFksOhoyg1Kg74IML0eTtDKU+lAvv1E6XRtPMlfTcSYmS+OqOs5yhb0QXNtneMh5GFKVAVFFETg7DvMXo2PhD6nm5/YPfwLBYaUXyW2qpFaQE1s3ZG27ZEoOt79ntplMoGp/tDh/OOvhsn09bsHTabzanqJslmDLqoUliymgTomUHNhrLOxWPlIAqrVBQFdVVTWEuMAefEmyqPmQx8JJfWps1kZrkcMbwswZ0GJ08xNu+VAoEfgKnJMoEEgvghkDp97Q8A1Q9AF6IVVeKWriYj4zTvG43SSOnUWBH8e48yln+sovD+8bMAVIWF5VzR95HBweggbY3xQROUiGOP8/ORqlSYE6ZKDqVOAFUytJtcq9MXYac8zjExVMMwQIxUZZXKgyVlAksEj1Ip1Vvr4yPd7GZivkSbkmu4Y/ToAgptqULB4HrpVElGaDF65rNGXMyNxrtBdvjBE/yIdwOKgB8GfH+gtIb5rBER5qxkfnnOaj5nuVzQtg2///JrFI9EOkYPwwguAlqyk3xQaN2jjaY2HjeCcwJVQ3Ds9z37/cBsLr5btqxo6i2b7Z6uG3Gj5+lpI39TAbvDQNePfPv9WxazltfX1xit6A4zKmsYuo4wzimtTeU7h3cjxRCwRUUECfqMjqgtSiN/s1e4NEEbpQnGQxDN1TiO2cYbYwpUhK4biCEymzXYskw29FrczoMD7/BEvIrglIQaO4/zjhCOqesqRmwI+P5AFUfc9gFtLKtW8dEHFxz2Gz6I1ygNw9Axup7Hx0e6rk8h12Ic++KYqCARdv9TgKo/9Xh/akhJYJND+ou85qgSoIqoIK3Tdhiw5Yh1Th7eYbxHe4/yAZJlBcETw58+Ef1zP3wq62UHbPZ7zs/PqaqK3X7P3d07rq+vKcuS5+dn6rrm/Px8er21lqurq+RXFSaLhKZteHx4oDtI9t+8aVFKtDVlUdB1g7jUWyv5et4zn8+njLZcusk79swMZDNGAUeWKkXYTE7ubQsnrEI28FRKUxa5XX+gaZoJNB0OB/qUv5cdznMETl6sh2GYFtabxzviOFIVBcoaZvMZQ3fA9QO+HinqCluIZuv+7kE0qkVBf9hz+/Ydn//ut1TWMm/knn+4e+Tx7nbqghsGASWbzYZ5O2N0jl//xV9weXHB1dUFRVHx+tUFPmQtkTiWex8Yhp7H22+4WJ0zm7WEAAccpmxomgWmaDg4z2Hf8d3NPauLS2xRM58tpSEliODZey+eYfe3xPVBWPrgQIHRkh+nlJzfQKSoSxHN73Y83D9SlRXlvOTu4YG+HyWpITAxgN57ZvM55xcXzGYzumHAqyii8nTNpbN0mPymMqNTFAVDjBgV8IPDaGmqskZSEMZRxkmZDGWzIWxEoXSR3v+o1cqzS0havfz74Qh6Xph9ngCobAPyAlQl0P9jpcZ/7Dj+zpPvpY1kDnhWCVTFGBmJqBiwUbRGihT07D2Wn6RJ/3kAKqNh3qQA5FEWJD3CfoTgg2hwkru1OJ8eD51y1uDYXSWifTW5dltrMNYk92wzdYwQI8MoO7D+0BG8T+ZzLbO2SZ02Onl6iGmY0eK5Y8zRkXtqS05t9Fqp5JgtwE/0NRpbGsrB4F0A36NcRWnnlEXHYn5G28zQ+gkfHM4HdtstTV2zmLUURrPfbwnWUhcFhQm0VUFRWJq6oqkrLs/P+ejNx3z++6/44qvv+PrbGwEwI6BEfOdc6mLQEK1mHAZcGGhqxXwunjVdPzC6Zy4uLmmalqpsWS57drsD+13Hw/OWuhl5XsN//i//QEzGeB9cX3F5ccnzZkuhDd4YgvNiuDZryR0lxmgG78BYrDXE4JNLtEpBxCeiwRglDNPFNOGBH6Xb0Q0DKgSGGOmdsIBBaTwK54VRU+OAG3oZQxR4nbtGtOT2nTj7ntLQMqkO1FpT1SW6Lbg6M+jPLmjfDjR+S9zNCd2KOPY8jE78df7gzfenOaf/sQnjp7BRP/r6k39nvDP9xhhRWqMJaGScR61QIcq2JYINI0VwFN5h/Yj2Du0cyjmUGUVLZyA4hVd/2gT4L+Fw44g2egIy4zjStG3a+Y/M5/OJWcplvufn52mOyqyVSmWcoig4Oztj7AessWJtkJiWrusJwSUgVOG9Sx1iwlbkcdz3PRcXF1SVJCDEIGP6tGV9Pp9PC9r93T2RyGq1mn7uvJ+6/sTp+qUGJi+cd3d3ZFsUY8zEvGWz0dNFHMSN3VYlZVMThgGXNphD3/P09IQuLVVd40dHcJ7lfC7an2Fke9jw7u3bdM+K5uf25p63b9+CKYkR+l6E+f0w8vr1h5RFycUlzNqGy/ML2tmc2WwuXkzjiLZSYXA+st3v8LFgfvExbRVo25b7xw2DF3NMU7XosuHmq2/YdyMeS1W3LJdnuGEEPKoy1HWJHxVNf+CwEePkEMUgV2fQ4kaUEYPU2XxGWZZ88fsv2G53XF9f40Pgu++/pzsMOJeBiKKqWimJIgaqddMSUJRVPV2XEMIEvLqum3zIcrNAdtGHSFmUaV2TGJtxDJNJc2YevffE5FYn62zWLuXXCQASc82X4P19Ifn7ovMXxqYn3lNCpP+4xOFU5P6+nurIWp2AsRBQMUwbx6jATUrsxMlHUvkySHKKUvATprCfDaCaNQhqTwkXKBGnxygTf0piScp7nRT5yeI+ff/0L1epBloUx+BeAUdHm3uhrx191wk7paBtRDS5mC9o6lp2EYjY2KhU1kuALNOQR7ZKpe6+E6FcAmDZ+8VoSXCeQBgF1lTU9ZxmtqRsnqlHT9f3DMEzeifmZEC32zOqyOXZkroqqApLUVoihqqsubi85tXrD7l+/QGrs78jRMU3394xPPX4MREOCY2GAIfuSKse+oiPjqaGspDP3vcD1pSUZY21stO0RgT9b+9viDGw33V8/rsvmLctpSl49+6Ooduz/eAVry6vCLNjmSGMI84PYt6Hlg6M5AQspYIg0TFaMfYDJol7ow8EFShMQTc61Ch/QN8NHHY7VAwYFdERnrc72tkMUyvAQAwoP+CdlnIikj8+xnxTH3VC0qIr8Tr7/QHvxbNmsVjivedw6Bhd4GIYOfQjXSft4eM4MvYjzu0ZhoCPTDq6I5uaeNT/P0mbE3CTSbMf6qji9M0piS8GdAxYIsY7rB8wvke7Qh6+RHuD8proIXpFDJrgjyLpf+lHWZbUjeTzCeg5EKKnqsWioGmaaUHJ+ZhN00zMDzD97OrqipubG2btjOenp2nBqauKwgr4apoVRWHZ77b0/TgFGh+SPULWS+VcvpgaP3JnHogNgw+eQ4rG6fueqqknJiKzTRiN0VIGmc/nPCW9Ve4a3O12k+B8sVicpCTItc8u3FmAL/E8i2POnXMQPHePT4zJRb1uGwpbUFaVaCEL8fjb73aTL9Y4OkpT8fj0xN3dHbvtVtgwNHVZ4W1gvjxPYn/LrG2pCktE2uO3ycoBbfBeWv+7YUSpgnY2oywrVNzy/c07uiEwBCUShW7N77/6W+6f1hy6kdevXxN84ObtDcEPFKXmzZvXmBBh/US/fuZ5LU75ebMovRsJSMTAbDFjuVzyX//2t3z//fd88MEHjM5LnJmUGIBI3w94H+j6gRh9spKB7X5P27YTI5mvby7xDcnKIrODOWYmjzltDGVx/Fm27dBaT+c7Tvbb+VATaMlgKgvlg3/JEJ2WAN+3RXghPI/h5YyhcsDxEUiddvS93913fNlLoHWqG1NEBgWjSmkq8fgambJTkLLVUyfkn3r8bADVfCZAysr9i1LH5sbBR9lNZ2rx5IxnTVU+lIKyLCYQlZmqU9OviY3A40ax+XfjiEFR1zXz2YxZ29JUlbBSSrK6bLJLsNZgU3lvattUxyDY6XuJY9RJU2W1Eet+8vc0yojQPaYPX1YiAtXGiC+Gc4xuZNSKAslpqkwppmtGC+izBS4oorKcrc74VVGDKuiHgI+/Y3Bv2e5HRn88hVqotInVy+xV14/EqCiLAqWE2YOQ8psMxhScn69YLCt2uy3b/ZZhGFm7DV99+TVlUfDhB6+4uXugKmvGcWC9fma324qWKkZGF1icXXLoD6heQioVAaUifvRErYnBEUYx2PSj2JHHQkCN23mslViFL7/8iqE78Pr1a5ZL2eGpcaQqLbYqQMskqEYRuwelMEggs0T95JsleZUE2Gy2hCBht4vlGXXb4saRdjZn8J7lOHDoR/rB0Y2e7WFku+sZXAR1wPmYNHQC1kT86EXzpyDoPHYh742mwftPfCgSsE6l6fcF8zEmJ2EVpg+pYt7ZeQrfY0MGUQXKFShfoLxGRws+Eh0EEwnKHxH8v/DD+8B6veb8XEpEdVsL+5p290qJY3pmtBeLxbSoPT09MZvNplb4siz58MMPOXSHacErioLFfM7TwyMAbTvj7u4dwTs+/PDDqTSXNUzZHf3Uj2q33VLYgv1+P7Fli8Vicm03xnB9ecW+O5bulNJcXb2i63q6rmO/32Ot5XA4UNf15Fvlk39W7nDMbFVekHMJMzMe4ziilMy35XwOo8Meeu7v7/gv/+k/878sl3R1h3jqgTYRN3q22x23t/f8/ouv8eNAdX3N4/Oa7XZP3bSUhWW/37JYLFM0kmRPVnWDLUVQH7VlvzswW8wZXWZDNEoFirLGmCIBP0vXlWwO37Hvep62HYchcP+05ubuie1OyqMxBL74h8/5xS8+oW5KPnh1xfrhiXkU9i9oQ1E3HA4HlosF28NBQKtCAEQ/8vT0xDdff8Pt7R37/Z6LqyvYH9isdxz2Hc55drs9IUS0sROj9+bNa2bz+QTOslt9PsfAVPLL4HpigsLRZDOgJW7rRHwOAoZH54kc7YHkOOovY4z4KN1+8t5ZjiGvORWzv29/cPo5wmmbmTrGvuRqEidM1+lzOHlN/vr+ej8BKiJd8IzxGLQcECCklU56vSCa2hMm9089fhaAShuYtUnMm8BUBGlzj+CHpANKZb+MKn/sz8zMVH5AYpdMNoeT54UQpi4Kn2wGjJGONNk5qamuLt5JKa/MSNedNSaFIKeYDTKQSloUxDslmxvqtJvLVCyI75I1NtVyBe2URUHTtgKm+p7gPcF5vNAy4tcVg5QxjYDGsiiolACwGDSVaYlvXjEefk2/7+j2Hf72iXBwctMASlmJEokOVKQqdGIGPSFGDv3IdjckQKDRWmj8tm24uryiaWZcXV0xDj3b3Zb9dsN+3/P3n3/B+mnNJx+/Yb3cMQ4DMTj2+wOztkUhYZvXyVpAq5S5SwKuqWQ7dZulmICYIgO0NrRWFp9hGPjiq6/4u7/7O/76b/6SX332GZ/98pc873csSkPblMRE3eIGCAoPUNQEL+WM4I+ASiYH6LoDZ2fnfPjhG+bzhSyIOlKUDWXZUTcN8/mc1VnHxaHnabPn8XnLvhsYnCcyEr1opVSu22c2meMeL5HT09idJpv8/y++/veDrQympt83/StHiEpL/QT0EsOmc4ux79HRov2A8j3KF+gggAqvxaNNlWAUwUeCcn82Jb8QA1VVEXzENJZSxclA83A4TNqqruum8p9Siu+++24qg2VmIWfhWWupzlbcvBVPql0SsYfgeffuW8Zh4OLigq7rWK/XU2ktlw+zlmkquWnN6Eaur68ZhiF16mmur64JUd6/73uGfkhZfQaUZr8/TKxajHESoHt/DEfOZc7tdkvTNBPAyou4dMMKuJzNZhOYJELoxa17t9mgkZzCv/vd7/jr3/yGoXe08zlFERl6x827e37/+y9Zb3ZoIl98/S06BqI2zBcrCmtYLlcUhWE+nzEMAiqKOpmlqgLvHauLM7TWwp7FmJ6/pKprcuxI3/d8/fXXvLvdst0+sesdm13P2xSGvt8fuL664unxka4TO5dPP/2Yp8dHChVoCwXO041eckq1Yb3dorRm3+2JCND1zvP0+Mx+v2d0jqKqubt7YNaKQ/5ud2C326ONlEG7rpO1o7CpG+2l6DuDp6zFy+tNBt2njFAmG6y1qdx/0uDQ99LBh0HrUxuUE71UBlO5ZOdlji6rMq1HxxLfKZA7LfMBjP44V5wCo1NWKuet/mNdfqfnIn/vCBxl417pyJjXAk50Vak0ZrQhmB8vG/6x4+cBqDQ0jZShxB4eRg+FA+u0lAFT9g4xpoVJROrv63szYIoxTEL0PGgyhZmegfeRMVGhpB1VWQr7o6Lot1QCQdYm087Cigu61pgIxWn5TuvERpzQjTGmQXVE1TqlbktbeXoEP4Eqq8UOn+AprJH22+gYR8eIpH1L+bBIoMqilHyGqBRaBS6XLb/57COqONKGPf/JbXjnR/YRxgiDAk8EU4hWOjhxeCb7gpDYCTmXxEDXjXTdgRhkInj3/VvqquL8bEV9XnJ/f8fDwzOPDw98++13/OrmF3zw+orlYsZiMWf0nrouKSl4++6t6KkUFNZQaA3BMfQHNFBXddrtaiKy22maGVeX17TVnMP+wDDU/Jt/92952jzz//y//5HeeeZnZygDbqOhLDBlQYwaraLopogMyR7BjTLZaGXS+ZMdedvOuLy85uL6FfhA1/VoZbG2ZDafERSMTsoD2/3A+dmWs9UT2/2B/aHDj44xpGwrLQLILIiM/8i9qd77enpMJiHxfU72ZND/kWOSA+QaeX7ZVJo8gqxjuY/kKeXQYUhdfAX4gugtOEt0lug0fgSjAsEEogkEDKew7V/yYY2l76RE7pwHJR1wIHqhuq5pmmbqtso+VZklguMEnhe7vu8py5LFcikbPq1pZiXg2e8NLnnqbbdbbm5uAOnkq+uazWaDtXYShy8WC9brtQiRkw9RFomDLIyffvrpJFoOSspAXdfx+Pgo3V8JSOU8v77vJx2YTaL4zEoZY3h4eKBtW5pG9Ki5zJkX/u7Q4zvHfDZDazhfndGPA7vdjq+//Ib5YsVHH38MKNqZ4fb2jq+//oZxDFRVy9PjI6vFgrYqOFstaKqCstAU1qCi8B1aF2ijKbXFaptYHEsIimEciVEnz62Wqm6omwbvA4fDnpvbW3a7Hdtdx6ELPG523D+u6TspnX36ySfEGPnuu2/QSrMxG757+z0+XlNY6WCurSKMkV03cHv/xKypGdyA8wJ6qrJiHGU+r6qauTapwQaGQWQQwzAmcKt4fHxMGqOQgLmVCkXSz50K0DNwyeA1s5KnflDHSo6YQGtdYbVIYZxnkqpkpiYT+qclPgFGgeBPMgaVzDfaCKjK4+ZUr5pZKhc874OpfLxgnUgb0j8RUJ3eU+L6DiqIVKci0IdcsUkTY4hErabfEWM8yU/8E+eBn/Tsf6JDK8Q11wmQGh2YQZgrbYTRUE5KE1JLfblrnzzUJzD1si1TazU5GZ8iV+8kxXucOmIKrLFYI/ENCqTry5jJt6WwdjLuNJzop5KG6hRMKQXBJ4CSOj9yKUghDJh3wuAYI9lPMUorq9EKW4mJnFap3u4cAxHnXTLETEyTOtGGJeA2m7XUdUtZVGQOrf78Cx4fnul6z/MY6N1I18OQS1FHvnWqWR+JXTnvo4vc3T/gfaQyWszyup7FcsZivqAsC1T0FKXl4emZYRxYzBvKsqCwsms8P1vS1hXZA6QwmqYsqKxBJabQak1VFDRNLTS8LSmrkrIsCHiRR2nFfLXk13/1V/Qu8Pbujv/695/zF3/5F/S7HaOGqi5ZnZ8RxoitZDcY1JCsMnq8k85Nub4lha348M0bZu2M6NIOKiqMFQ8YXQJa0w2O+aFjsRTfnfOzM3b7nufnTeqmYWIrZYGKR0DzB45/DBa9VC6csFpwIlZ4n/PiPbD1vobqZclPnbxGZYfkCGryTR9QsUBFhwqjUMe+B2/BaaKJBC2AKuhAwP7ZlPzEw+lcrAq2W87OziTkN7E41topggWYOvCyODh32BWJIc/+T+M4sjpbcdjtCW7A+2FaEJ1zk93CxcXFZGGQbQ7qup4W1Dzn5bBjN4hB569+9Svu7u4ojGH9/EwAiqZNYnfRg1lrJZ+0rvHeT0CwbVthVVIeYC4n5YXTOTfpb8qynDas2QuJYKjmFUorttsNdV2hjcxhLgTevX3H5dU1Ec3T83d8/fV3fPvdDUppqrLlX/3rX2CNZdZWqOCprOb8bEHwPbvNM+PYY02B8bJB6IdRdFFKws6HcWCxWMrf1jSMLhAPfdIcjczalqKQDsmhPzAO8jPnRqzWkrs3DtRlxe6w5e5xS++kg3r99IRRgU/efEiBp9/3eDSP6w1t00DUtM2M3U6MlFdn52hbYKOiKjVKGawtCPFANwzEeNS8SXe6m0TlwzC+OO9ZL3VaUsvjIJttZiCVv0JmriAaMKYEl+1gQiq9pjU4Su5d5GgsShSDWG2M7NWUMNwhBoKXaKTMkE1aJi16Vn3SgPTHmm5Oy32nzz0FXqelvhizwfVLdk0BBdLQJJt26dQVy6aYbCISQPsJ88DPAlApJf5jNj2SDjIxQSR2J7VUxmPpJBWGjhvt9AN5XtZvnKRKmxOWKr3In1zsMt08pNoq7wEKrST3JzNMk9hdaYlEmEp+CUxlFB6SY3kQB2lIkR7BSdkpeMrSUJQFioA2YjBGYuWcc+jgCc4Rpp58yVeT35V2GBwHsxjw5fZV+TxlWfL553/P/f0Dm+fEDhnQyUHdI49ce3VBMcQ4eYBpBHXNrSaqkd4HwqFn3/c8Pq85P1twfX3JcjVjHHsO+y2PT888r5/EuM5orq4uWa+fWMwb5m1DZYuUEF8xPz/j4nyFScC0rmvapqWsGlTyBtluN8QA3ktHWlQweM/BDdzd38PvLbOzM5ZnS9x2S+0q0ApTWNirtGDMiSGKMy7J6d5amralrhpm8zkxwna3E9YqPcqyZAhSwqiTtcZ8JuzbYjFnNl+znM8kJPYwTPW9ECNRp/P3j5TAXsKiP/He+ZF3yOB3uikSeHrJXr+3E4xHAAipDpvq7xpkhxcdKo4QBwgWvCWGguAtwctOPOrETilPpPyzAVR5Pri7u5P29a6jLGuKmZn0UVm4vdvtJo3R+fn5i4Xk1KagLEtASi/90DOriiNAD2HqFMzi8NVqRdd1KKVYrVZTx+H19bUIveuaoijo+57lYkF3EPYpa7zGIWDKkqvzc8qy5OHhYUqYOBWaLxZSBs9diV3XsVqtqKqKw0FCkoGp3T6Xd3LQ8uHQsTy/YDgc2O62jEPPfD5js91w6A4szi4plMQ/ffvt9/ziF5/x299+zpdffUtAsVqd8+bjT7m8uMAaS2k1xMCsKTHRMY6a0jmUsrTVAj/sCMFjvGUcHYdO9GFnFxdiF1HV+BBxbkjpByNNI+Bxt9vyxRefE73j+ekRp2rpLi4sj4/3aCXlwipa5kWLD4H185q2qTAq8uVXX2PwLJoaZQrUJHw3uENH3w9UdYNz0mRTVTVVVVAUJZvtlvVGQqpzUwEwlcmy9UXu4BOZxKnp5hFoZHf002aCDPRl+MqE4Yn0LtLaU73xkazIJb78/eBlkivLElvYVDbL84+wV86LPc2pfiqkeSkzXz/WuXe8teTnp+Vl9Z5G6n1wlced805sMSBt34MYiMcoTTYKotYJYygBlFElmZDBxPCTJuSfBaDSQA04Bb0Wxkql/KZcmRC0+6foSfKg+mHd9rQrT2kwRi5QDNI6O1qNS5oq5xyh0CgKAVL6hHkC2cXHBGmmQZrtGBIAMwpNMb3faYs+SI6Xj6KfMlphlLABVhvqSm7o4CQYWYUgD0GHGJ2ZtPwwLwaXtYZhGAnBM180/OrXnyXdg5ObftwRd5FxEB2DSec9eiTLCBHrFcaijbjzjiESPDz4PumqFKUy6FQCG+823Nw+85vf/ILlcsZsPpeuGD+y223px5HdoQNGiI6qsMySi33b1DRVTVvVadEAa8TaYOh7opIWYaU0znuG0YEylE3FL//y1+y9w/3ud3x3c0P529/x2We/pJ21zBcttiwpo4jweh/xeylZWCOswWy2SH46LWVRp24Yi08ZVbl+r4xCR401JVVZ0jQt81nPYj5juZiznLWsVgu22y37/Q7vYwJUaWQeyaA/ePyhHdp/jxbplLfKdHZKWCSSBP8qEpWeNhRM41pAeyCiwkiIjhDG9BgIviA4g08JAcFFgoagAkHF/67P/c/qSLv+169fkz2a9vs9upMsuv1+n+JbapxzPD8/M09i4rIspfM1WRTkc5afPwwSP9I7jw7CMGS2ITNI2TAzbxhDCJyfn3N+fs52u6U4ibmpqko0TSR/KWMYE+uVy3qZSctgKufKZZYpR8tkIbr3nsfHx8lzSnyg5BycnZ0BUvqMSlHNF+z2By7PVhysgdDg/chmuyECh92Gfe9p5wvuH5744qv/E21Krl9/SERzff2a5eqC+fJCWC1A4RkPO5SxrC5eSe5qHej7EYfFDwP7w55+GFmdnYuLvJYmm+wgXjclu+0Gl4yXD/st795+y0cffiDeeUax6zpQFW4c6Q57Shsp7Yyry3O2uz1VVVPXFcMwUFkr+s8Y6EdHt99z2G85X61QQF0vMLaY7jFrC5pmxny+4Hm9oR+kfDe6UeaRdI2AiTXMQBcQsbobXlRN+r6fGhVijJPT/WmpLyYZjdLJb5FI5wM6lfKEqUm2O2FSHk1zmUkNVCqVekH0rmKzkAiQrPGKYUqneCGNQea4rC18fx48HdfZ9/H0dT+qv1LIhjlpi0MMk/A9RoWPChsl8B1lCEGyJVEKQy4h/jM09lQKKiO6nip1+ikiPjhx90ZiVCQOI3FO6W+UxfdU2Ju/BkZ3HJAyAUl+kUoAqTgx/gxBQiOHvhdq15UQywmA6UP8jEUAACAASURBVHSSp0HAj9CM089P0r6jlsRqjhfeez/l1vmYDCL7Hu9GdIyYQtPWQrkf9uIWHoOXplV5c4yyGC0lyiLVrTN6DzFOIFBrRVUWXF2dE8IvGF2PLUvqxS23tw/c3D6z2Tk5t+m06oC41kdQMRBch+ybsydXnLRrIYIyhog42scY+e3nt8yaZy7OF1xezDhbnXF5eY0x0LYNKuwwSuG8YxwHYlVADPRDx9OTCPPLosh3IioE0Ebo5OjFlNRWuADdOOKCl2DTV9fs+p52saRuZ2hjuL9/ZLvZURaG5WpJMV9g64LVcjX5vlgjO0JrionxPHZIZbO5vKOyGCMJ9W3b0PU9s7ZhMZ8xn89om4qiTP5a+Bcbgah+yq35/j3yx4HWqYhTJTLsxcvee4sjYRXxShGUJWiNjxofDSBMrooSO6ODh5iclUMyafUDwVmCMTglwDyoiFclQeji/8a/+J/Xcap5yu3qoosRYXpZllO33jAMrFariUXIre15HsmlPuccfd8fTRwjGFuAF93VdrulTaHJ2eqgbVuKophKSVVVvfCBenh4oKoqYoyUVcnj8zO6KCjKEpU+y9F9+5jPV5YlTdNMnzV392XBfS5bnv7t4yj+W/tkT7Dbd4xRkijatkEbRSDQ93vqquLi6pL1dou2mm69Zb3bs97u+OzXf8UHbz5hvd1T1TNMWTM/O6ddnuFGN+Vo2hoKE+h2G8pSxOXd8ETnIutNB26kaWcYWzL6QKENRVWx26zZ7Xd03Q6jhAkahgP73YbXV1cYo3h6vMeNC9qhpN6PdKNnv+4Yg/Aevu85Wyz4xaef8f3b76hLy3I+x7uBplpw+/Z73HDgg9ev2O/2zNqGqmmJoaYuRMNZVRXGFmy2O3YJgA/jkLyy3AsdcGYwT72dpOmpxqaNfb5WuRR4fM5R9wtiMGqLUpj0MU5WDjEkQTNkj99kiXDUBGuj0dZM1R8pDQqMypu3SdNkDESFPmHQfswK4TQaLr8+h3vn16i01v3ohk1J4L2P/ujwnma7iACpkNiqqBQ4R9lKkLnSYqUjjUgCpv5YGfL0+HkAKhTWKkwR0Q6MjqQGE8Q76LgonRTx0msdWVd2LP2lOm+alMZxkHr3SccDSqGVeJtUVUVZFMR4LP9F79GoHww+lWhKzftA6lgWzAI6kEygXLU9fY7sCqTFdOg79oedtAEnQ7vFfEbwHoJjNw6MSYh+XCGl/qyUQSuLOLhPdUwgUpYWpaRkgAtcnK/4zd/8JWdnZ7z56I7bmzu+f3fL3cMju8PA/jDI135k8I5uDJJmHvLi69HG4CZlovxH+YDOurO0AI/DwNPDI4fdmuViztXVklevrpnXM8bdAaLC7QfWY8D1I3EYxU8K0ZrFtKuy1mJsidaGqKVBYXDSNRO05eFpzdvbe4q65q/+5jf8m3/37/n0009ZzucYowhupCwsh/2OtmkYbIEpK/EZaxqcGxkSI2WLghiVdBSSHXyzaF1YzTy2JA/NUpYFdVkymzW0bU3dVEn3VTD6FBwql+soLJ+u4Pv3wU9nqH5MxHkKqk6fc/r/0+sm1lc+Qd6wRKWmF0hHn6YYLYWzFMFgvEKnDpLg5X6JaiQYTdBKrBOSx9ifw2GMYblcCiuV2KLZbCbAJYGVzbiZgoONMbx79462bWnblt1uNxl8ZgDlnGO3200AZ7FYUNQN/XbD8/PzZHeQy4l5h59Zowxs5vO5CKArCTeezWZorfnyyy9pF3PmKeZmHMeJycqA6PHxcWLBsvZps9mwXC4nFiS/X9/3PDw8TGx8BlPr9ZrV6oyiqtnud1TlFTF43DhwOOy4ubnh+upKPoP3FFWLi/C82bE8u6CZLXh4eKZdLFmuzrl+/RHzxYqgLXXbSEe2GwnuwNhtaasGrRSPDw+s9x13j2sOvceEQK0Vo/fYUjorn58f6bsO5wbpTiWw3Tzx+HDH1199xS8+/gg3eg7djrZtOFsuuADG0UN4zfNmTdW0bHZ7mmbGw+07NJH5bD7db19++SW79TOr1Zz7h0d8AprGFlhb0FYlpbX4EOmHge1ux8PDAzd3N5P1QY7rKYpi0t/lkiowga1MFjj3UleVn3OqnwKmqIQYjtmbIV0/FzyEIGA1VQeUMoBUWmwhc2ZRFBOYgmNJLwOiyXsqMfTvi8rzZzt9ABNJkN9/IgxylyBHLy9IzHthMdYSnQBjOS9WTFFVxMcU+p5kLfI6CG6QuB4vFkEhIpv3E6D3pxw/D0CVLrItInYEbQPGRkyhMDagx5QXpKZrgvxL8seUAmvViZVBQClBmsM4TqK9EI4lt8xAZNO92axlGPoXrFMWRxdZcJ4Hb/q5TiUSKZMwfaqpjzBTkUlJfzqAsp2CiimzbhyIQcp9VVFQGoMHSmvZqyRiNQpTGOnOI98gJ798+r2ni5j4OykFTVNSVVfM2hmvrq45HDr2h47Nbs/j84a7hyfuHp64vX/k5u6B24cn1tuBwk2Rv4AALNJ6q1XEqIjVMXmIaUpbUlhNDCPdfstu/cTTo+X54Y7rqzNenTUTiFVK0R0cN8Oap03HrN1xtlzQVCVFYTFKYdJNVVQVIGxa3S44vzrjg48/5t/WM8CgTEFZNaxWK1QUIany0pLdHfYs5nP6osKfTB5lWWFtOfmnaK1BR6Jn0iwEUntxGn1Th0zqxixLS12V1KWEQpeVTDKqH0UzpxFtQYyctqX+ECKpKQXgB2DrJzJU77/uR8FU/kUTdfYDVzfZcaqUohlT92cA5SFRx6Cj3K8mYIKXmBrJSv3Rv/Jf4mGMZr1es16vJ5+pvPgBKGW4uLgg+zKN48hqtZrEw6ceTrm0Bi99pabddlEybDfTYnPa0bXf76nrGmBaTMdxnATqs9lsAjztrJbOuMQwzedzrLVSYkwL1fn5+bSI5Q1pBlC5e7Ft2wm8ZVF9Bl7Rp89UNShtOF+usFrRH3acL2dHcFCV9IMEot/eP3L/uOFps+Ov/tW/Zbk6Y/SKxeqc128+pq7n6KIketBWrFHub39Pt7lluVgAhv1+x+PjE4+Pz6z3B/ph5Hm9SSXMcgKMzvUMY0cMnu5wYLt+4unpgfvbW64uz1F4bu9vxENqvmCIgdEHhnGgUIaqrLBKUVuL6zsiYFRkv9vQdQeeHh6E1Y2BzXrDzWHkl7/4gKqW3MDZfE7dtjze3NB3Ei/08PjAd2+/m9bF3GCQQcXpeMgLfmYM87o2DPsX7ugZjGXdVFmWuG4UIKUCLpWV5ZxI6HwkEn3EaslQNUalDViU/NrCJrBzBGi5fDht6k4YHll7X2b5va+ZOiUwjkBNfp5tFvI9ISL9I9OlC4sxmbHTaGUIRKzRDHpERXOyXuoEsDxKiZWRiansqSPBuf+mqetnAahQJNowoExMqDKidERbjTZRHhpR4ee9fhK2yWY6xcAkLwmVBMDj4OkOPX1/zDJyfkCbCvAYA0Uh9WhFEpprnXyrDCah5Mn2gGM3Qu7qy4NYKTDq2HYJL9bPF+UXpcK0iHk/EtyIVpEqMR5Gq0Stpr8vi+qT8E8YVJ3c34/vLd5ZyWfLpZ1EConOg3E+q2jrMkllNCHArutZb3c8PW95d3vPF199ze8+/3v+/otveF4PUs4jifkKkl5ZJZ4sNRQYhdUKhcNEhTaBsikgaoyGsd9zf9OxvZeW39VqxWq1ZD6fS3B0CGy2OxGtLpcsFnOhtSPY4Cmj4y/+5jdoo1guFlxcX1G1MzoXcF5RVDXeR5zzyUBQ0VQtxEhpC5z3kmWoJFwl36BaC3AI4TTNPBw7NMnCTPNirFlrqQoBU/O2ZTZvmc1nNHVNWZXYvmfMmjnF5Hfyh44f0wJM/87a8vdvnR95v/d3gEodtyHvP++Iv469gy9YNCXZXD5kpli6enQQ9/QY4hQobYI0XkTvUhfDn1PJTxaD169fs9vtaJpmAjN5YTOmEa1a0ii1bct2u50ATtYv5cXktAU8s1ohBEbnsFXNm1fX3N/fT6xXVVVcXl5OnXxZPJ51Wvv9nt1ulwTtJd47jNGM/Y5mtpoAXV3X5MaWffKmyot4/jynoO/p6Wla+IqimEw8fd+DD8zqhrHvaJuWcRjEYLS0fP/9d9McIOHJkaKsibsR5+Gvf/M/sTx/zfbQ4yK0SknzTISx6ylsyeh7hs333Lz9gmEY2e72aGWSN9eGu7sHTFHgQ2C2OmOnKn79+hV+7EUH6Efc2LPfbTjst7ixp+v2GKvQGpwbSUsKpio4bLeMzlOWcj3qumC3FQ8q5wYOnTiZhygSEqs1wXuquuHm7hFblFxeXlJV0tRic3m2H3i4veN5/cTz+nk610VRMJvNpvGw3++n65m1a7kDE5iA7zBKh2Vufsiat7IssdrIRijNRxL34hmdox8HsZNA1hylND6C9pHgBZyVaSxmVmrSJSvFmJoqpvuC45z2Y4L5U0YKjqxU3mBkpjaXv7N2MAP+GCPaGjCGEDzxRFOojEZPc6oWvagSvykFsjHUgag0EWksc6mckA1lf6oG9OcBqFCTwaNSZNSEMiLsVjqSTExFOJ2E3HkJkEy9VBvWyfsmOrQKsljq7KqTF5Yk3C5kV631iNaOwkQUI4rEBmmF1foojhc0Nb1TPnJ9OiYacqJf4wnQMxrjk8N6DBLRgQQSu3GA6CislCDbphHaMoRUHjwOQq012iTvJitCYGlvT3mGZDgpf2tMC+DpwLAJDEmJ3IOKzGpDXS25OFvw6vqcV6/OuTibs5jVfPXN9zytd/T9yOAizuVTKQum0pFCKQqtKAtLaQuskQmpsJqqslgrpoJu6KiqksVixnK5YLFYcHl5wUdv3vDRRx/x6tUriqJgs9nQ9zIhNHXNxdk5q/NzduOxA0oZzTAGYlBJUO/QGIIWtlJVFQQYx46mKqVsHKSTxRhhouQGze95ZBTkIqexMvE25gU+yCxmYQuauqIuRWBfVWLxYAuLGr2Uw6I6gSx//PhTWoh/7HhZ8nuB4N8D9Cd3xFQrJ9+AeZdCKvQSVSQQxMQvRdHoGLBJT+X9gBtJXbARr6SL9M8FUIF4QGUdUy7/nTI7m82W2bylLEs+/vhjuq6bvJvydeu6Thba7OeTS8xJKyNdchIvc3N3z9h3U6dg0zSiu0ndffl9sv/QmzdvkheUdBrOZ4sJpEU/ohJ7kR23n56e2Gw2fPTRRzw+PnJ2dsbhcCCEMIEuYPKlury8nF5bak1AdFiPzxv86PBDj1YlhVaEccS2Fdv1M845ntYb+sFRNQuG0VPPFly9egO6YXPYU9WWs4tLbFkSgPVmw+33X+L3twx9x9dffk3TtJRFyeAcZVHRdb1og5TGVhXLszNmZ2ccVEljOrpuwLmevt/R7TeMQ8dm/cxhv2XWihapbWsOXU3lA8/Pz+x2O7GJaCSa5vmwT4u7Y73eMo5O9Ghas5y39F3P0Ace7h/44OqKv/7rz1gsJNYsBM9us+Vx/czN3QNvb24pQz9p3KqqmkqrwORrdnV1xWw2m0BXvmZ5w7zfCzsVEsjPYLssU15fVBOzMxlrZhuGlJ0YFVhVSKNVIhQUkaI8lt/gZQoJp1WcBFrEdiZXBGTzpWASsJ+ybKdWDqcmpZkIyTFfP2DY0+O06Su/17RpFFW9sFIhuwUowonMIRApy4Jh9CgV0+bnpxFVPwtAJQxMPNGZHP2mtOI9mifP0XmxO5bftMpoV8TgchwvZq7jSpijEcCUrQ+0xitSncKjdUSrgDFxYl4EuJ2AlpMLG0NIgrdc5pPVO/9bKwFnGItSAa8U3kW8G8VNPAaaWnyQ6lkr7fow+WEBqMRQNU2NLSSQUmkph0pJKZNeCejE43jLZzCzLyg5txJGLIZtY4hYE7GmoSpfsWhrXl1f8A+//4Lff/kV797dst7u6PY+mcsJQDFaU5UCFudtzfWra16/uqYsLTHtgovSJnuIguVyztn5OavVirZpmM1mXFxccH19Pe3ELi8vp5Jm9sMySjOfi95Dac2LHCahz9BG/E08DgqNQxFtTRcjwRZYZXCjYxjGtPurBdSmCSWPqzwu5XRmvdtLLV32PisSA1hWBVVVHCcva0EfXdMFsPzh+yC+HOapAKemr/8txylwyv//ohNmoqUSqzU9eypm4+UipAlRRKvae0wuoYeAdx6jHcFJd42UiP98uvyUUlPQcC69ZcdqODEcVIZxEBH5brebLBbyIprdzTPTA0dwfeolVJYl9XzB1eUl280apY5GotbaSc6Qgdh6vU6ieWFEtNY0TUtExPBiiKlZJ0PQpmmmv+Xt27dorfnbv/1bXr16RV3XU4DzkZ1XvHv3Du88n378CQDdbst+s2M5m8vCW0hn8na7IRKpigu6viNGAV7aOLrR8bzd8+rDT5kvzimqOb/6i49Ynbf0w4591/H8fMd/+L/+d377H/8DZVlRlhVEzersDKU0dTOjKCqadoZLa8J8Puf88pKL83N0XbH5/iu8GwlxZLfbsNtv2O82eDcwm9c0VUVRFgw+YFJHXS7HGmMY3cjt7V2qaCjGoacwhrOzC/Y7cTLfb7d459isn/nozSs++fgjCms5W63Y7XYcuo7tbse7hye+u3tCKU1RVAQ/slgsWK1WExjv+562bTk7O5s0enlsZAbnlA3Nvoomtf9Pa1UIeI4d8LmZ4dgJLxZD+a61hTQ+GWPRWmHtsVqTx73MxbIGZkCjIK0rAvK8c8mKCIwRAsQW5QSqskUICEDPICqDqvz5Ju0XiLdj+r2npcZT81Ct9TSnRcCPaZ1OIDhRMpM+W0WpWPkYBID9xMaanwWgStxjWqDipC+aBLMZn4AAASHv0Or9d8mdAelEv6Abc/nsREg+sUepJDamFvEg3VlHI9Dj6wS4pa+YdJkyg6HS68XMTHEEV8GfusGK67HDi2B+6CGKO3jTzGgayeEJwWGsnpiQsqpoZjMWy3kCUzIMItm8jAxF0xk5mpudDorTxTUmZguCuImjaBoBBrO25vWrK375y4/59pu3/P6LL/jmm2/58qu3dF1PDDF1EVbM5i11WXN9dckvP/kFn/36lzR1JZ4tCupGdkl10xCiLDBFWVAWJUVZYNMCkrUCx+6PkzBqpQgxlVi9n5zyhWURFjHEiIoJdSs17YZCEkoSAtZqbPLd9eNIroiFVP6LnLJDcj5z50oGEGnISumvkF1VXZVyDdtasty2JdoM0ikTf+Bv/nLsxpc1vWP5TQb+seD8x48f6KRevOMf+P3T+/+w9Bci4D0+BFxwKD+ivMH6QPCB6APoQHSeqFTqCBJG68+FocqaocViMXXmZQ1TBjVZVFuUFSE4Li4uRGcU4wSScgxN1kLl8kfWzGQGSzrlWkxhOdzeMPQ95+fnPD094b1nNpuxWq14fn4mRvGOur29ZbFYTAvObDZjGHu8d0m0HjBGv8j3+9WvfsW33347MVAgnYC73Y66rqc2/MfHR2IItLWUOpumYblcsi4eKKzl8fFZ8uj2W/bdnqKQdv+nxydMYSmbhuvra+4eN5SHkGJgWqp2wWJ1wTjC6HY83H/H//G//a988Q//ld12T1U11HWDsRW7w4GirGlnA2XdskJPzSdN23J+cc5yOYcYGLTG+57Hh1t22yd2u7V0WaeOwa53uDCwWa9xY09VCiv+5s0bCitZepvLLU+P0hzgx5GqLBn7ge6wY7vZSDC21nz6i09YrZbMZi1WGx4fHnheP7Pb7bl73vC0O6SMWAtWc362YtbUL9iY1Wo1jYes/5rKdYkFzSyOyDyO/lLeB5Qa8X6gLmtiCob3QXIM3TgivucZ7Fh8jNiyoLQiPDe6SI1PZC33ixnlhUXRVJJz06bi/yPvTWKszfL0rt8Z3ukOMcf35VBVWdWuqnZ32+02loyXXrBEQuxYsQBhFiA2rGADkrcMEkICGglZLACxQgghIViBkE3bMhJgbEF3VXdlZmXmN0TcuOM7nIHF/5xz7438qiqzKLeyu9+qLyPixo37zu95zvN//s9ztHY4WiBYa5LvVlME9Pm+maapsLRZP3XcH/G1yj9LhUasXzJLdtRtCRtFrmJVYpytQtaLqhQRJ8kopM54o42MMf68hPmLlm8EoIoZA6QSS0yT49LdF07ek86iCMMzGRPLICt/HErgbozZSVzqoiJa10k/RKFMm7rGjZNg1XjU0gh1mWf0xyEtZgotMw+IJ5XRJ0GQQVC5TxeZZB0FogpyEtOMc3JSm27qhlk3E3ARTs3LQFtN0zUsFjMWXYfRErgboyMEMfc8vVGy3X9Owo0lw0+ylo5LziwUXy0SA5ftFrrWMJ933F1d850P3+Nh9cSPf/SplOTGQRzNk2jSGsMPv/997u5vub66RgDLmGjnmqqqaeeLZKKXLC0mh1Y6gbJ5oa1POz7yjEhobVWAtdIq5U9lZ/cMwOXkngLHvO+nda/S3pvBs6pOAGg+Oip1/HkioWxLBlMmaamq2tKm6IpuNqPtOqqmQdse5bwIP74WefxsiRksny9fpSyolPrS3z4Xq2eG6tiLSvkaEV2U8xPGpZge4/HO4Y3Da40lMVMq3aYhd/r8Mjv7J2/JE4A8eJwyc7lbNQ8OMkuvmKbhDHBtNhuur69RSlzQV6sVy+Wy6JoyK9R1XZm99/2AbTpevnhRYmhy2UQ6BMXOYLPZYIxht9uV8HjphPZoI75Wu92WuhIrhMyU9b3oGT/55BOurq6KG3uOk8lShFnbMfQ92+22MAnOOZp5x9PrVdHaESO1relmHdvtFhQM48hsuWS33/Pm7Vt0NaNpW0JUtG0HSuO84+HVE//jf/Of8PbNaw59L5OfKM8zGWR70UayY6FMYnXmHA6SZrBcLrm5umQaD6zrJY+f/AFjv8dN0uUnTxHN5iBmmf3hNdGLFIMku7Da0NYNtze3XF9ecbm85NUXrxjajn6/5mm1Ypoct7fXWGOS/slSVSLhGJ3j1atXPG027IeJfnKghL1ra8vFxRKjjpmHp/5LMUZ2u10B06dAJT4bszKTLgyXxwVHXTdyjwbReJVbXas0ToQEmjSVUuhkK1Q8n2IkYrAmAZCQO6ETU+09fnJi9ZCYKTdNMubFSFWn/Fktz5Cu7WjbVrRbw8ButyuMXDahzROMzKRNbmIYB/FXDzGNV7mUEIiJkZNxwyTdrDSoFXLlhPVXyThcPtsjQ6McC3U2sf5qyzcCUOXluKPyUDYpvCdCCU3OS5F4pMX709lwEAdwTaIpj9ExmbqMMRYGqq5rXNMw9kPK1ItlKCmC3jSKZ1oRxI29BCsmtHXetVBqRsQIwYlgOhCkduuVlCajfLK1RqJVkg+GADCJGgDJC7OVpdLJajEIgpZqVwAM0YdEgeZyzmkyd3JsV/kYpu7FKNSmCgI4jBHHLUHr4pHeJGuAly9e8INf+3WhrA8ixpScr4amrljMF0QCNpdH6y5F9hgicoPnypcxRtavDUYpfIrDiPo4w3DOCahJ5VNlq0QzqwQUVPInS0LHs7raecFToc/Lx++6BuNz4KELC4aORFy2Z0occepQtRV1I2xb3UgZwlYV2orpXfZz+arLVwUiP6ur71SD9S4gVtZRLu3jsSTT+KkkKO9LId3Wo1Vy7fdC5QelZUabwJQPAVNZYZr/jCCqfKxzCHAuZeRsNaAYYh76HrRmSs0Tfd9TVRVXV1fMZjPW6zVN05SJmdaaL774guVySYyx6KRevXrFRx99xN3dHU8Pb9lsNtzd3RWrg2EQgbT3IpiGozN1Bm1SwtJ0M2E/xqGnbjR13RW7hNlsxsuXLxmGoTBtucTopomL5QXWGlxiFfJ2e++pZzNMI6/ZYFPosmazXfPq9Rfc3d9SGcvT0xM+atZPT1zdzbDG0NRiSzKOA8YPvPr4R6y3UkaSJC+PiyO7/Y6umzObLxBD58gwDkxuIijFxcUF9/d3tK104A6HjYQNt5cMT6/Z7TcoFLpq6J1l3/fgA8M4EpyjrubYqkmGnxIAnVm/xWJGDPfs93v+4OEtbdvy7W/fMyXvL5Bn+X6747DbMowDj6snhklMnRXyjG1ry/XFAmsVbd1wf3MNUFjJzEIdDodyvZ2aemYt3KnomxixknuOUlJWi0FkKSGm1i6lkr+fAoQ1Miblp1ZW0kNUYvgBQsA5jdI5w88nJieUa11c0YW9dlMqeRtVOgKtqZjNpArTJ1Ztv9+Xjs8M1vO1mvdvnMakgUpmxCEDpDT+pZy+M12XJxmMxnJNTpOTcThKBURpLZ3ffsKkeyRkHPAnE1DJyYzRJyTJscyXmQKVBemlmkPMuo/EwPiS2RPRqAKmpKW0KWK302d8rt/6uqa3FjdmYdvx4oxphbl0luAU2VrjWEY8KQ1q6Z47pR9zCVL+NhmkoSgqKeXFJiJCFSM6Tngnhp8C7mSg1ORW0ZDMSo+MWc5jItGgOioUJpVgVHK7zTdy6lRMdhNGHQdiY5IVf2IA86y3bcV19uJiQfAuRfxEcbdXEKPDqgRktTQJ5DJajDAloXnI5U9tsEZu5Pww1iIMO0KhmF5TyLZqiZyROnk+JxGS43Au9WVsJa9RAG9enoOR0lxw9no8e38G8gXQK4W2FcpaTN3QdnPabk7dtMe23xNNwldZ8upPr/2fpUV6fsO/8yGQAfM7Hg75U9Xp90p8Wo7vV6InCJInaZQTQDV5op6IWgsz5VwCYTk49c+OD1UeOE8jWnK8Rx4MdSo9ayuD5OQ8XVtzc3NTytxt25Z8vMxMeO9ZLpeFrcodW8MwsF6vGceRt48rXL/nJoGy1Wot5Y6kv5F7KxYD0cx25G49dRjoZnLNKjzj0IvOxVo++ugjfvzjH/PmzRvu7++LMD2GgEZJksFJO37XdeyTnuvVdp2eHTX9uqeqK/r+gA8SnTMMI9oaXIy4qJjPZ6gYWT+tuL0f6Pcb2rrGhZ6///f/LuvNQHTgxpHZfCHeWi4Qgme/26FMhbXyvB7Gkb7fWTAzsQAAIABJREFUUzUvaeqatraE5HjeVJpPV1tWTzt0hGZxQ3P5Hquf/CGTk9LlPEZev/qcrm0Zh4mubYrWLVdEhkPPavXAJ598yt3dPV1bMfSHcu6GoS9yjxJt4wM+yHUgnYItl8s5867hYrng5d0dWidGPo0hdV2z2+0KgDo9j3D63DbpuSiSEwEfkbZq0LqiH0fc5AoBUZ4rSmNt1roGrNbYymKslgpRiFISA8ZxAoI09QyjTKpCELuFZNNw3CZ5flWVpbI1VV0nC4/IMIxsd3sBLyGUIO08mThle4dxICJgvq5qmdSlaoxPTV4i36kw2pZn5ynIzO7t3jnJdEUmwwIoIxFd7tev6z+Vl28IoEowKMoAnv+VMs4JwIJ3K0ly3pBSR6drYyxVVVNXjYTzJsFzjImuTPqptmmI00Rf16jkrnpeDzaJjDgi5sizMOZnQ2aMR+fjI8sVgXOwBiQPruPMrqoqfPAoFQhuIPpE9VtNo3IZSuF8BCU+UyDAxnsBLiql7+UjplRMpbF4tN8PENCYk3DlTHMaW6WHgtycQNKAwDg5tFZUtQUEzXuXEs3TMbXWYlSO4slAUmESm6ESSM16NIUqN09V1YlFzKApFPBijgdYuhdTQnjuOklvLDRwFitKGffn3ySn5+v4oDo9p6fsV3q/TintafA0SXNQ1XViqmp03+OUwadGAxUjnID/X8Ti/LxfnwKt5+xU+fqz/qb84rzMF+NJd4tC2DUVwDtwhqCFrXLTiFaK2lhht5SSDspoCFE8YOLXZOb+pC7eB169esXt7W0RhY/jWMoWWmsGN1Hrc7dqpS3BjUUntVqtSkhyzl7L3lFZF7PZbDgcDtzf35OF0m3bMru+xgTP4dAXML/f71NnX1fYnq7rANjvd2VA3+/3jNPIbCYD2jRs2O5H0TwmTU7+zM1mw6xt8ZMrJZ/Ta+/zzz5jsZgntl1Ki+2iYbPeUNXioB8URBNRRtN0LcYH1CSMZ9/vaRqLUZGnN18QL5as10/0uyd+6zd/yO/9nf+FykgA/M3NLc553j6uxczSeaoAxtbCmgwjfnLMZh3GaA77HSo4vvj8c/a7Lba9Zj5raZZ3rB4fiMi9rG2NrQNX1zcE70BrnA+M40TfH4ghcNjuxLRzt+P99z+gbbskoI6pgUAYrQyoxmnEhYjz0n1uUwfe3e0tNzc3NE3NYj4jRsc0Tgz7PaaZpQ7RTbkest7odCkTf7K1iYCGSKSuGqIyeCz7fs00uRMJiCoZtZNzNCm0PqYZqQR8R6ZRvoYgFirjNKZngk/r96WJ4nTM00YV88+2m2Ery+gcQz9yOPQEDEo3LBc1XVsXsb3Y2ei0Lx5b2QTiQSVh/OQcnkh0ySdQ2+Kz5ePRVuFU15XBcIwRbUyq+lQMPsDJ+J7vNaUUarv9ys+Bbw6giuocQKky3KQ3yD9VnvJ5UQlAUN6dCzzWVrRtS9e2NG2bOglU0TEVQJMGw6Zp0EgIY/DhDN1mxuRLizquO88mjcmmBXnJhmap+yCeg6mu6+inseiHlhcXpZSklHQkmBgL6LHWEpVmCuAmz+iz8aTmqBPLvQtpW2LiwlKsTx6lhS4V91hi6nrURgCVSsL3kFiotG6tHSE4YnTyuYrkai+lOJO6ebSS2U1IFzVRikoa6cQToHcsixJTBIHKrrzycrG+SAGW5aYIYs5pMm0bKexUTFqV0xkcz6DFc7bqlGI+ff30tVOtwrGpQWZNdd0IiGpqmrahqZP3i63kesvUKsKhliYFSAHaMReVT7b1q3NbZ2W+E1AlN8473kO+107AVNmik9WHIP9ckPBj5wnGESZD0IZpGKFK5zV4VNDC2GETu/qnf9FalXDgHJOR2YS262grKe1l8JMnHSClwFwWzAzU27dvi/1C3/ele6vrOh4fHwsTkaNftNaMfY+OR/sEpVRxPj86bVu2262I46uKy8tLMflMcTd93+OcYzab0dSaV69esdlsuLq6wnvP61evuL2+wWjRsAzDQNu2rNdr5rMZ4zBQVbkjTPbPe892vcbWmrePjxIBpVoGP9It5hhr8cOANgZjNbvdmn7Xs11vhZVxB542K8Zhwz/xl/8pfvrp7/P09CDt/TFQVTUvXtzz8Lhhu+8ZwyCdfwrqusJYmeS5aWIxn/P5Tz8uBqyXl/cslhfopB2r6laSGojU3Yy6skzDge12R2W0lL39iBtHPvn4EwDu7+/RWh3TOOLx+SDAyjEFz2EYsVqkD00rDu8ffPABV1dX8pSOgf6wZ+9HgneiE55GvGrYJruG56W+0+db9iibnMc5n2wCFIP3jP2A2/aMwyHpa1WZ7FqtMVZD9MTthratUQijFqO4wnsf8C4CGhcifZiojKWSlRdGVu6FZBiJQSmLsZVUiOoK5zzb3YH+MIAWUfpsPsdWFV2rzxrNlFZiHqxIiRURF4Xp9UQRbHowRsqS1lrp8I5HoX7ueIyJGMjPWbkuBQCO/thHfWpPVCalX+M58I0BVERFcfxRRzFrBljn46E6YR3y7sb0/9wteEzUzt0zcuCPA3KOa8jsStPUWC1t8DnGpZT5zqiKxFCdEB4xRDw+baQ+2ejTmBbk50TB6fTwXCwWeO/ZJarYJF2XBPa21GlmmB/CVdLsnKLoGMHHiDHJ2VvFFP0RC5Oi0QQqdC49Hms8iR1UoCxRiYFeUBxLsLlmrTUueLkYo88KpvT5SRdlZeYdY8p1i3IDiwfJiSlqAkI6nUOxpbClEaBkNiZwncuqeZsrWxUWJf8+c8ylVyDm8uK5D1M5tyfLl0tlzy/SPPuCDAa10ZiQWLk8E2tbZu2MtmmokyB10q5cC/FkNnl+w6pyY6fdSpshD5LnyrB3lfffVfLLnYKn+5iF96drz2CqAC0S85ptH1QElyJmtMGjcUoxxAjeorwjWkP0RhzqQ1UeWn/aF62FbVitViW41lqLC4HdYU/t6zMmByjPoHY+o22PQbbWWubzOSCBwlkgnvP9Xrx4wWazOVp4APOmYfX4WNaxWCxKzEyMkdVqVX5Walf0XNvttgC81WpFCIHbu2sBfk3Nh++/JCAu8BfLJW3doNJ2NU1DCIGL5TJloir6/ngNiv4RYTPdhLYKW4vfz77fYxvJjzOIt9LnX3xBfziAmvPZT1+x2/cMw4GPPvo2f/jjP2D99Ibf/Y//AyJwcXnJersFpXjx4j0OhwOHww7vAs6PxKhYXlyggI++/R0uL5ZcXlzwyU9+xI9/9CNCjHSLBZfX19y/eEHTdKzXa+lednnQgdY2VEa0qSqlK7x5/cDqQcqfy8VSnsMRRMrhE0Ml57bve4YAo/doXYFW3N7ccpmMi41WHPY92iQfQzdC9GgE6Cgizm8Yg4jsu64r5/00hsWFyOCmZFoMaCPecRGG0TPux/T0MZj0LLGmwjvHFEArg58myVd1E8SA0dmdPKR9UqCrtC9KQl+NQUf53FLi06C0TWOwlNRsXdFPE7vdQfy/Asy6ltliQd20EuysFItaxiZl5D6xlWW/P+CdWCdEJeNcHt8lCkeW0skNSb/lRZR+kpIS0uRQGpQqRgyVMZiT4wlHli2E8LXkGt8IQJXLC7kSUkTA4aQykpgJlcRzMYUQlQEkx2ekix5yTTWVYOwxbyg/yCBRpd6lcpXB1LW0yKZa6jSNdE1dWvePDMX54JQNNKXMlhy1z2z2j3RsPmkikDfH7VFHdF2nbp6u62iqWspdxlBXVQJTVZml5o/PGqDTGADk0MkbdIQoTJs+EX7n8lo6aglEubSNRroCE4Xrg5RSZR0CqkIKzEWlfbJWMKOPqW1V1qOil3Xn7EFrU8lMOghO86jORP0nqCprsbKw/hQEqAysypWVSoG5hPVzANTP0xelNxSNnKxBOv50KfkJEK6spa5q2rahbRqausYmMAwUGvq07HZWtvvSVkC2BP3SjR1PwFUsWJITIuwrLKkNJN1DX15HFFFriGIe6z1RaYJy+KxZi8JMERzRW3AaKis0+58RQKUUhTnI2g9b1yyWi9LKnsF2NmLMjGjdtKgYOBxW9L10pJ2+L+fhZePM/PzYbDa4cWTa7TCprT6DpKZpzjQo1tpihzCfL8iM+sXFBcCZq/Z2uyMEX0Bd3c6ZtS0adRZ7YoxhsVjQHw4Yo3GJjZzP59JluN3KwOakk3kYBq4vr2hmHbarGacetJT99v0BrRva7h5bNVS14enxFd2s5eOPf4Qyntv7a55WCuc9l8slD29XeB/5/PPPmXwgBp2Of6DtFPPZnN/+7d/m/fffo6oq/uDHf8DrLz5jnBy3t7fEGPngw29xf/8Cay2ffPIJxloOqWw3jQOqa7laLmjqmsNuy08//pjV44rvfPs7LOYzNEeJwDROCfR6xmliGHtGVTFFCQsLgK5qLq5umM/nTMHTj9IRZ7SG1GRETGyMioVR8dGk8UKXeKB8XTk0vQ+IEXgEZcRriigao2zMGxVBVYwuYoJDGSU+W8ZggkKZihBGcaN3LglLZAkxomxHVAqrBHCqTBoojlmARDSmjL0hDc21MTw+rETvFhWzxYKum2ObBlvV2Eqic5R2KH+gilIm987jqpSxG7wwUUm2Y21dmODRTeg0NguodgyTw7kUHxZEOyWlv8iEZYqaJhnRHrVnR0CVv/6JZKh8yv4KiCA2kgfixDlFKVvJ4CkCdqBczHnAVYoipM4Dlbiw5/BGJXToqY4pSBByZcR+vm0b6pMAyWN9Oh/k8zoxyIUfosTjhIRd4LgdGXRlpAwUi4UYpQ0WENv/dGFk3UJmoiptqHQuhx21Llngfl6OOnb3Hb8ejf5Oy1ZSulJnYOy4ZHZHph7Oi2BRynACqqT8JzVupbWwXR6cy8L9pEvw4vNikghdW4syJmXFCZg6G9iVosRMF0Ylnm3ZcVEn5Vc4+65cI+fg5fQ4fFn0nUtm6e+hAKoMWlCJVSMJ/LXCVpamqWmairoRYG4TAJWy53Ng9+Xt+qpLYbASsCrPt/N6M8GcQ9PnZb/TYxXPtiV9DakD1HlCUMSoUUq4eCGuIlPwEIxMTqzEQMjs9s8GoHKT4/Hx8SiUJWKj2KNksXou0WWmqZR8leLtwyMgeqncxVfXdens22w2rFYrfuM3foPHx0eUUnR1TTObFQuE5XLJw8PDyYRN7uW+74ulQowxZb4FEYd70Sc2TVO0WgLGxKGaGImTB9PgtYCszWbDOI4l37RpKsZRcv/evHmDUorddsvQDxij8emZN2tbmrrGjwe65QWHpx4/eVavX0NseVqPXF5cEqJjHAamacfdbMFisWC1emAxa5mGjmlyPD48AYbHhx3dTOwAlFbUVUXT1tzf3/O9736Xb334IUppXr1+zdNqjRsnurbiYX3gn/yrf5Uf/vCH7PZ7DocD3/u17/PxJ5+w0prtZkNbtXSzuQCUMPL551/w8PjI7c0NTdPBKZiapgJynHOMztG7iSlIB5n3kdlixvLyCofi7XqDNWKGHLwAn+DEtkfFiFIpdQN5xlRGIqAygHDOceh7vK7wiuTDZHHBJz2TJyBZpY22mBgZXWB3GFjtBm5nLVEZqmaWZmM6hd4booKqbvB+wmoZb5HiHhCleSlVG4KfTqwYchaqpIRM01g6hacQ2R1GjK2YL5fMuwVN02KsxdQ1bddJ5URZ6mqGCk7GNC0pFrauBZxF0cLm3NWINKPJPZCYKe8YnbBtWX8rY6TDRcVoO1AGE8JZ80deTifXpVvwKy7fCECVGRrnQ2I25CSkBq6k8ZH3KgyaY4hsXpIzRhlHMuU6TUO50PMDPkappeYZnIqBpqpobCO5fk2L1ZwBqhCCROGcHPwQdCkNyo2V/D1CTKCnbE0pmcQgbabZY+poLFql4E6Dy+K51G1wGjGQrR5kG7LJ5ZFxy0dDcgoNwtJklknsEI5u3+cmaO++cFQ5nhDRVoBVZkYictP7mGZZCdC6EJi8JwbptFRKU2VDt6rC2lp8MbJ/VmacMhBWEW2Ofir5eBwvGvlPLOgmHlnK/Ht1sgfP8Mq5xuj4GuTWcnX2mnwJzz+kgCyj5eFYV9ngU9ipurJUCVBJEO55DJACfjGY+upgq5xLMmCKyWhTfvL5t0lTVwDVyT32pWMYAimhiKjl4Z2IKbKBn/eG4A3BanwwxCB2H+E0yudP8RIR7eXopnS9q1L2ynYD3nsOhwPe+7PAWynrWQ7Djjh43nvvPS4vL4sO6tST6LPPPmPoe66XS6ZxZIoxdcsNvH79+szqYJomnp6eCpORw3Nz9l8Wvsvzd+Lx8ZHLy0vm8znrjWf78ET0ntvbW2oDL16+ZJomHh7ErFMYuakI1bMJ6X67Y7/fCffppEHEKrGH2e127HZbZsOB109b+sOBu9sPmabI7U3A+YntZsXl5RyFYfX4BqUcm/Uju+2Goe8xuib4gDFVEr837PonalszXyy5f/keH33v1/hrf+2voXXWga0J056mAu8iv/kX/iLvffAhtmqYzzXG1Gz30uFXVVXyBGypaklSWG/29ONEO5sxny2oqpoYHCHGYmBZYlxCYEwMiTYVU4hcXl2zWC6pqprVRoxNtQuE0CdmBXQKstcJtBjE2scaedpqdXTKH5ynjxUhqGQPpPPcntFP9P1EN5th6o6qboiTgzgQtefDb3+Hpm64qi3WmLT9A4f9hmkEZRVEJ+uvZ4wOCMKcnbrOxOBTpShVXwJSaoyBfuhBKbS1aGNZ7w7oumY2XzBbXNC0LdakztDUWaqNdOlFKlQ4MI57EZ7HiK0sPgj7mCe5/TCgTR4fpCIyTJPkESZ3dSCJ6QMTloOqMdqUClTWWeXGkez+/8su3xhA1Q+OwxAYBtgPsOsV/aQ4uMB+CvQehqhEp6Tk6X4erZJE1zGgFTgH6/UepV8h7aOOQ79juRShIVCE0rXRmG5GrKsyIJVMIaUIqavCJOFb8BMxaoLRqYYreXZG60Kxa20ImUVCtqmqLEN/7CAIaaYRQhCn3M4Wqn6/3zONE1opri4v6bpOfGraGdZUBE8ZrDJ7dmSmEpMXj6+JULAqNedTUXX+OXfEqfO6mdwYHNkMnV6DiIoGUWdFgvMSoOk9xkdqlV3EDcpapvYybYfCR9EcEHIHoFDVIUpnilaSWai1IdtNEEIBcQoETJWLiEIbqbzNKmvtSLFC5yDqOag6ZTXPgIkCH2QWR2Ia898ao9FBWKu6tsy6lnnXspx1LGcN867B6BPtXrrmck0uu67//CV8jRLe+ZJN44+nTNYtz16FlHgz+FKlfAgSwRTxRIYEoiTBHT0SnCFYC0ozpDKvrTRWK2xlqIxFkUrBfwYWYywuhmJSqLUuVgnGGMZRWuZvbm5QSpX8u/V6XfLatLEsr64JMfKUuv32+z3GGK6vr3HDQKs1t/f3NE3Dq1evCCGw2+3KhCwHF3/88cd873vfQylVSoB5UrbZbHh6ekIpxeEgf3t/f48xhu1mw+tXr+mahsVsweGwLwaj/+j//N8xdYc2OhmNShfj+mnNzfUNbduw3W6wlWGxXEjUViRpszzD0DObzbi+lviUX/vO9zG2wbsBmXR6jIa6eZ/dbsfbhwc26y2f/uSPmHVL/vJv/xUWiyug4g9+9Efc3N4TlebPff/7rJ6e+N6vfUe84KoGHyMPDw/sthuWi4rr6yXT0PLei3tiCHz4/vvcv3iR8lcVh2kL2jD6yBAt9Xwp03ZVoa1lcB5larSJTDHytN2xmHU479htt7jRMU6epmsIStNPjm5xyd2LF3SLBVHXDL1DacPd9R1jP6S4GvHf0xrcNJXXNGBURAf5pyaHVhCaDh8rlK5QtQjPAwplUhdmBG9aVOOp6pqoLbvRsdv1dLOO97/1EpMMR6+ubmi04rB+Yrvdsri4Yj5rUSqyH0fG/sBw2OKeVgTvsYBzI8FNiBY2x9TIP1PXRG3o/YStKhbLC1brHU+PGw59zw9++BvEALppqLoZtQKroK50acCSCUgvPmqHPW7Yp0eWTqSLZ0qm0EppiErKq6mpy5cx9Vi98SGy8zNibVikhpFT49PD4ZBimWpymsFp5eLrwKtvBqACnIfRBSavcCHio0otpinIMCadhxCNRS+Td9dntuBUVxKg7yd2+x273Y7NpkGpSNvWRQhttCYafaRbIImGj8LymFowpW1VugLz3+fSY2lZDa4wSDIoJ9F2okm0EmO105N21GIdNVDCLsVidrZcLrm+uqJrWo72DUd4oVRO6j6WNnNNOM+clD0tW/0cZiozO+/QGJ2Wjkov40npMwvDVTJVzZ2J4aTE5FPZK5TW3VSKHYUStkmPZDJoy5A5l95yuS3pBM76MJ4JiLL+KJu5/qzZx2lp9vxQlIORfgoCSApjKtuh07m1KReyqnNgsujdMlUfw/n2fbW79ee/6TnWOv/5lIH7cjkwJmbvbA2F0kufFNzx/tMeFTUqKLQXnYT2GuUN2qUSrjM4awjT/qvs3J+KxWVTwyQqV0oxDEP5emqfkEt02e18SmX+bPK5Xo8sZm1hftw0sV+viwwhd6jd3d0VTVUW0C4WiyJk3+/3ZfBomqaUEou8YBxpmpaqstze3iaQt+fm5ob9bi8lPxRNI7YKAGHqqeslNzc3rNfr4jcVkvBXKUV/ODBru8Qi9OjkRt118tp+v8e2HbXb0i06vLcYDeN0kLs1Orqm4mq5ZDlb8Or1I9MY6Lo52+2BYdzyw1//db7zne9ye3/P/nDg7sUtwzRgI2y3O9HU6MiLl5e0dc3LF/dYaxgOB6ZpZHl5ifMeo02yMZDJwdX1Lbv9QTrTfE+tFYfDnvl8yetXX+B9oB8mFl3DoR/YbtbC/GlAy3g1TJ5utuDy9pbl1Q2OSNW0BBxKJ1bIiXZOq0hok+VNcPS7HUaTSn9BJiXeYWxLtbhl1wsw75pK2CBEME6UrNMIku+CQqlKdFRRUTUNPlBMQvf7Aw8PKy4uLoh9jxsE1A4h0M3ndPMls9mc9aPCjROPDweCknJkiFJpMUl+EpV4Lk6TRxlD3S1AwxdvHtnsDzyuVnzr29+hSiHN15dXhMMBA1Qpz08mIBPTJKXmaRxF8qMtZJsIJQbPwzDgJnkmOe/px+HsHshgSsYY8M5gImgjru+nXnF5kpGrZMULMUljvi5b9c0AVBFGF5lcxHmF82Jv4XzEe9FXhbJf6gz8yAecfHtCYQSgd56Hpx26egRTEbRlERWV1VijCzDQSp+4b8dC0auY2/0VwRyZCamtZkF4PvBHh9qYAojLDsomJR8mpLypjrlGIa3DKMkkUkpRGUuXxKnL5TLFGFTlZJcjokjbZE+AUmZEVAGFlT2WsZ6DqCK4P/n59OvJ0S9g8l0Dt7BDYs8g2rVjEjnktlR1tp35RuCENTNaYTKjkj7dZ31XAT9p5790zasCumLaKHW6nnJajmzUu7RVst4j4Mi8zvN7TGlVTBArIwZ5dYptENPS6qhNO6WLcgtv3o9/DEss/6GU6VT6/rg9uZki71/OdxSJKVkHpTRRK2LS8AWl8G4qyfGSu5gEnlrj+6d/LPv0TV10CKV8L+LveblX8wQqBx+vVquij3x8fCzlv+wvNLnAdrPhYj4nOEeTBO05nmO5XLJer2nbls1mQ9d17HY7rq6usNaWMt9yucR7z+PjYwFa+VmSLRgAEWQbw3e+/RGRwOvXr9GpQaSuGzabdbF4qYwWN/Z+oD/0tG3DMPalapDF69Yattt1ue+01oyTQ1WVRFbVNdEdEmBpUTgIgbrpwFq26x2zds63PljgPFxc3bF+2qO0ZbFY0nQdbdew2a9RBiplGKY9u83Ai/dvWSykMWS72RKSd9LkHfPlBd5LkLqfRPbhQmSaPPcvXmJXTwzjiPeKsd8QI2hTcXf/ktdffMar12/h9hqiZL5Ohx6XtDgeUMbQzZfc3r3kME0cpgnrInU7Yxqka65uWzFGDp6LyyuGoefx4S3KVpjKiv1IDOKL2C2ZX96x2+2IqcRrqooQJaQ8EgV4aAsBPBOBNIlVmqapOCQ7DJs8raZk7vnJJ59wc33DzBiG6Bg2azSvuLu5pmtquQaMJYbIGCZqq5NONmmcI1JNaGq0rVlc3jA66Kctg/O4GLm8vWW2WKK0prEWPQ6ioU2TC2N00Vy65NtVOhjRGC3yD5eAlZuk9BeIYhORJiSiUz1O1KNPchjvULaiVrIvSh91b/m6zCCr73uAIrP5uss3ClCNTr66SUp2ArAEXIWYvCJ0KhSXPz7/qnTmJORzvU9eTaNjv++x9R4foOsaKmsZLUTjqSPMjXSbiSA+uZAH+bxozRngeD6K506+LFSPROlYLBof2aAMML50qtL7VCpV5XrurOuIKJaLJbNuRm1rqhQHkNcr4MQcB+Uk3tfalBozUcT4Wh/9lk5Zqp+3nDFVJ69lc05yqVCR/LpCAjAkUCPnLrNSpyyc0LLHbdHqGIR8VnnMIM4kMBlz8GXu6lRn/yvvl4tCyn8nQOlnlfrOzydlO/KWFAx38nYBmSnqyAiYqivJh2ybJrEA4uvl03UgO35ai/sy03S+Pc/OyS/6g/x3ZaNPvqYPjEhE0RE8RdSpSAKFtNn64wcEYV1j2oCYtj9kJtIkA1Otcf1XN8T7E7+kS245nxPIbLE+dmKlUuBqtWK1WvHd736Xi4sLnHM8PDyUlvi6rqWrb7MhTg6jFe+9fMnDwwOr1Yq2bRnHkYeHh+Srd1xevHhRBpemadBas91uqeu6aKvytd40TWG7DocDSinJEdSKw27g29/+trweIz/99KeMoyvsxjiOLJYXuEk6fFFSOnHjiFai+RRPJhmY8qx/vd3iI2gfClu2WCxwbuCwlxBnqw1d0/Lpp5/ztFpzdzujqWd0Xc36acNu33N1c8u+37HdPbHr1wQiLjgWizlNY/nw119ycX3Fhx9+yNAfeP3qlYDVceTtwwPx+obROxrbSYeY9/gYefnBB7z84EPePjwqS4TDAAAgAElEQVTw9u1b3rx5y8P+QKc92lgur25wo4QgH8ZeJCSzOaBo5wuZBDc1ppJmgdVmy+Ado/csqprROSbvaUzFZrtBo3j/vZeE4Hl6WlPVcs60gmkMKDSmqsA2bDabs8FfzGMNEQ8qYKoaW4sppvUBFULpzhZLIPFIy6azm82a3HTzOiqWl9cQJx7fvpWOTm25vphzdblgdB5d11gq2tow9AeU0illpKWZLYjaEG3DfvRsDyMP6x0qTEwhcHtxSdPN6Kxlnhj8XLkw5jiOZa1yLt35BDhH79AkTfToJSZGq+IVCSTQLtFu4uAf8S4wuYAPULUNutJYY3A5u/ZkDMjrzuNz7mb9uqDqFwIqpdR/BvzTwKsY419Ir/3bwL8EvE5v+zdjjP99+t2/AfyLyFP4X4sx/g+/aB0RmDyMDpxXDD4wOpgmCrgS+4g0IvycfZSeK18kNd7BODoO+57tdoeuLSAmX2JoplDRM5+1opMxmqjB4QgRrFIoDFMEE6AKFhPAPAMj0p2fB+u0X+nhlceoU3Yrd/2cvLlcZIC039c1s26GUoquaWhsVWa1R2CgyYGWQuicb4Nsm+iW4sk2Pe96yxf081LgGeg6AWFFR1X24eR9STsRCWK2GSJBn4OWU4YKfNn3L3VVJERQolCeAZnyluPeirEeGQIcy5GcsDOy2UfG7vR8PV8i+b2p/BiPMUDyuVKC1qSw5EqyCxtrkkt/TXFyf47EfiGj/LPfkA/9l26HM+B0vp4jQD397HiEVIWdUu/4EFXAuryUAjajEi1cmohEJWyMHw+/aOf+WJY/jmcYUFyeV5stbSpvNU1TfKlO7Q+MMWy32xLXksXhu92O7WaD9p7LiwuqSkp3TdMUY0+giMy3220p6eWJSt/3tG1L1mqFELi6uioxM3l23nUCKObzOW3bEmPkab1m9fjIB++/z9XVFW/fvqVPJUulqiJ9WCwWGAONbgDpah4ncfKuKskk3Ww2cly6jgCYqubl3R3b7Q5ldMks3O0ORCbcNEDUWNOgMCwXl4xjwFYKa2tmM8NssaCqG7549YrHp4p9v8d5x6//+T/Pzc01L27vmM9mLK+usJXF2jluumY2m+Gd4+rykkO/58c//jFXV/K61qZ0ZzZNy/X1DU3bcf/yA/4PHxlXb1gk3evNzQ1vH79gvV7hxhGLXPuL+VzmSChsUxOVZrNeMwXP7Yt7qrphu9tL9M7uQPAT88WC/W6Lc46LiwuGYUjn70CI0t0WYsSNvVRITgJ+T5+fPsokvKpFf6u0xqfGgwykMvO53W4L6AbwyvB2vUc3c6Zhhw+RYRRz0O/9uR/Q77dMIWKqmkXXMfV76qZDG8XlxRVN23IYHIOPbA49T9uBfoqY5oJx1LjhLcqIjnZ2YvxprZQli441hKJVdm5KpqKpUjSJLcI0OYZpxKWcvWNOphwHcVJ3aBzeRZwLUgnCpEeXRPHksSQHeOfg5WzZk5dsdfJ1INVXYaj+FvAfAv/5s9f//Rjjv3P6glLqN4F/Dvgt4APgf1JK/TBmodHPWGKEySt80EwJSI1TZJwEZAlDlcei586l6jhQnnxe+VWUzxuGkf3uQNO1VEbKZk4YUaxSDIuBYRxZMkslDAFaMYZUcpSWSzdJhIsIjSuZ0ccAUSf7gJhm/yeAJR437FRDIXXcHGzMGaCog9jw57iB7L6cmZ0coZNnCgp9LD+eMHRKiaZKaU08AS3Pgcsp0HoOqDJYyyOzzgzbKSh7Bg5y2VTFSFCREAz5LJ1rsyj7Jes72a7TfTnZAs5KdCeg7+TvTzVfgaNdQfm78n0CSGmb89YXRirGIn5/7tJUNhNBNrlkLJ05Mvsy9giAz/7+V1TiK0xgXk7AO8j1fbrVMZJc6vN7j/usEYr92QdR6JfEBB4nNTr5wsn3xNQdqaQsGP34K9nHX8Hyt/jH/AzLWqnD4YCt6tKxm7uyrLXF8ynGyOvXrwsAy0uM0qC+bFvcJL5Nu92Ed1PRYG02G771rW/x2WefJQ2UdAtmwXvu3Muu57n8V1UVi8WCw0HMg3e7HUpLfEdd17x584b33ntJXdf85m/9Fp//9LMi/o1EpnFMg/6hWIAYrWmbtrC/ktHmy/3cti2H/sBq/YQ28vwSAb1lNpszTROfffZZsRq4uRHdjsLS1CKpqOuObj4TXVNdY6xlNmvwYeKLVz9lsVzy8PCGrjbcLud0jRz7xtpkdGy4vLpCAU5rmrphPs05zObs9z0PjyuRUtQNSmnGcZJkCluhdOT73/8BP/m4wz1+RpgOHGLP8u6Kdt4w7HqsNtRGjD2f1mu5FrQRF/C2E7uC0RGCwmrLcBiotCJixFBaa+bzjldfvGIYR0lbqIy4zo8TIRyDjzOYzc//qqqoTGQ/OEwl2y/jnT9jevLz0BjDm9evWSzFjNRhCEHx4bfuaaqan6ze0lUV17c3/M5v/yVev3ng04//EIXCBRicY7G85GI5x3uHNZbtbs/oYXDCTO2GCV116KplmiK2czTasIjnE/RMKoQTICXd+PLPe9GVRR/wfqIfDgzDxJgmHsKU5pKdGHErHBrxAfM+mXxmiyHSeKtTEgdHTW2JgVJH3fGp/vgXznlPll8IqGKM/7NS6rtf8fP+GeC/ijEOwI+VUr8P/FXgb//8dQhwmrxi9OCC6Kicj0U/Fc4e/s+X4yCQw1jL/Do9+50LDINjt92JgadWGC3syF5JO++mbVjMOgwVVlWAwnmJjLHWUMU8gGWReWZmxGlW/M6m4syawQc5RoUjeCj0ZghH0BCCqFkS6GrqBt8dg1ZPL0YxBKX8DEqMUE/R5AmAKa7kzwDVu1mj8+8z8NCJ5ckAMLMjGUSWF9NJjZzUs3Uo253XK+BNn4jw8/E9rvc4jh+361SQnwHWEVA9Y9XSZ+Zj/HyfM3ulkuAyM1mobH2hUFofGyPeeQ0qKfkl3KHLeVJoc6KfOilFlm0O72bFzrfvl1uyXF/O0REPxZzWTmKYiGXflDqCWKJCBwfo847KzEqpXAokgdzk9J4fYuGb4UH1x/MMi6mkbkWv0w/c3N2Wh/IwDMU+YbFYcHl5iXOOzWZTGKzoHZXRuGiYpziaw0FYvv1+z/vvv18czY0xHA4HidZK3X0Z0IGYfl5eXpYS4mazKYwFRNquo+97bm9vmc/nfPTRR8lsVElpj8jDqzcslguurq9lMlgmL7FovgCMqRiGPgXRC2OVPem0tahJnLc3232JuVmtHnl6eirMXNd1bLc9H37wEdvNHjfBrJvTzRcchommrenmcylJjntu7y9ZbzdUFu6XM9789FM+eHGPUrE0oFhtmBKgqFNixjRK/Exla4yRZqXf//3f5733PpD9t5W09HthW5cRPgyRn7qJx7f/DypGrGpAGXyM4rJd1xCgmy3oxwEXoalrYWS0ZrcXMFDbCh3BaIttxHIihIlXXzyJrsk5KqvT+Z4Yx+x0n7vVXAFIp2aUV/OO+fUth16aCObzjt3ueN0F76ms5f7ulrZpcCHSzBYc+oHNZstv/PCHADR1RWUN3/3oQ/7wj/6IzfqJu5s7Vm9fs9lJpNJhGBndJN2R3jP5ALoCW1PVHXqAcfIQRoypMNFy27TU1pYyuPgQigWQB4a+Zxh6+n7POA4yCXEusVau+EnFRHBkH6pcsVJaERiJSBeg0vJcletTfA4jipgfWyCBysSyTfkePjVezj9/neX/j4bqX1VK/fPA3wP+9RjjI/Ah8HdO3vNJeu1Li1LqbwB/A2DRSclv8jCOkWGIDIOU+06th9Jfcs5HPSv8vIMEkNJfoO9HSBoigLoy6NS6v1qtMVrR1oawXKCYYY3ErfiYvSyky0D++TTdz0N7PF95LqEhsSzKKLy1hKDwDoK1Mvj65NUTRWCnlYRJKpViTbIhZNq3DEKyw7rojkzxiVJpYHteCCrs1cngfSa+jsfjQmKgzkBJhJgCqE9LSpFcf/Yia87rSKBLqNajNcOZr1SMZ52ARwbkuG25LPouHZd8fw6kTt/7vHT4LgD5zjLfESOgFFRGumfc6Ini90BEFQd4jUqO7ydgNO+Dro7HNX9o/vrLY6Wvt5wwuIWUS7/IM7V8Uo82B3INxaShOqr+0lOp7MMJ75ZKEFHl9oxvfDDyr+wZ1rXSfRuSx900joyDlNgOhwNN03B7e8tutyOH3V5fXzNNExfLC/r9XmwGQEoyihKC673n6vKi3KNPT0+0bXtW1lutVsQYub29RWvN5eUlMcYCvnKsTV1bLpYz6tEyTk2593KG38XFBfv9XjoEjThVX11dMU0T0zBQh7pM8LJnj/fS6j5NuhiROi/xJrvdDu89d3d3LBYLdvsDMUqHY9d2hChu7Zm9ev36LcFr2nZGlbIxtTVErZj8gEax369puo4PX9zx5rNP6fcHnh4bHt6+TW7xLdZYKqUw6XrMmYZVXYGKdJ2wg8YYPvjgQ94+PBIVzNLEtZu1SQQduL+5Zdod2KxfM/Zv6LoZBHCDQynNbncQVksbbNOAEhDVTyPzxUKyDZWmMpUAMBfxY8/+sGHUlqZtaJsarSU/D2SyPQxDAqDzwnIqdNHmZaZKa8364TUThvl8hrVtuY60kqxTKbHBX/yd3+Fps+PDD78lnmD7Q3Lwn9E2on1brTbc3N1yd3vLj3/0/7JZr2majt1hYDuNWKNSt3rA2hpTV+jUSbhQlldvV0R/oGHPrI7EOptTP3veQ9LSDfT9oVyD0Qei90xuLOL0/Iw2iEI3prEQHZlwkuQA1E0DEYyRjkuFuMYrqzBZKqMoz7MMToEy+QHOmKqfP+E9X35ZQPUfAX8TeQr/TeDfBf6Fr/MBMcbfBX4X4P7KRBeMAJfo8ICLyT09Vxw4kiDnTMFRJXM20CYGSQ4ITFMENYEO6cJU+KamSkHG280OoyKV1kTnMSi6thahsdVENDEoQvQyUwhazCyj2PrnExTT9pXYFTzaB5RXeJt9LSRuQesKZS0xUbl1VSWWSx5SwYcUKSLALjMH+YI8MjXCkmWwJft/FN1JHlEoIOlnXiSF+IlnJSmlFDHVXWNa//NF1gcq5vyjE+ZOWzC23ARHFulobpo/4+wsngz+mYlKa0tsUvrp5OQXTXU6HuV/J+XJd+nHTr++67AQ41k+oEKho3ijWGVpFExuxISIVaBVFN9SdTw35H2QKSelHPxLlv8yQ/hzl9MJxslL5Wo9AVOcXE/yu6NpX4zP16ROQFb+4FOQ+MeFFn/p5Vf6DLtYXsQ+aWAEbDQEF7h/eV+YhK7rik5msVjQdZ0YcPYDAOMoxq/FKb2quL6+Fiaqm7Hd7ug6T13XrNfrUgbc7XYopXh6euL+/r7k7GXbhjyx0CrQH7YM/U7MOuuW1ZN0Cro0cEnwsuX+/p5PP/2UzXbLPHT4IN1pNmlKMtOcdVnee3FP14rZfCZswzChURIvklg4pTWPjyt2ux3z+YJxmtjv98nXauD6+hqjW8bRM0wDbhu4uFyIA/g0Yqua9z94werVa8LgmbcN3nv+0T/8B7z3/gdcXV6mKJMKmzJQldGp/JkyWtNELgPSmxsZpA/9gboSIXLTNBjv8aMHG7i7v+HVFzdsw4h3nqqqmc0WYq7qB7zzqNowDBOmrpi8MG9PT080bcus66itBa2ZdRX9TuHGHlOLxYwPI95PQCznNcZYvh4lGo5hOGp+0nUoRpbK4FtpNoghYI3ID1R6voYQeHxa0XXztB7L61dfJGZVjs2bN2/49R/8AOdG/u7f+z226yeCd7RWC+McA/O2oWkqKYtG8dEyytC1cxo0i67GDysIE6gKHwNOHW0JQKJtpmliGHoOh33yXRxFb5vG2FJySxWQbJMTnET8eANRRaIXL8naih1ScB43TqLlRZqzjK0Tix6FeVeq2E74E+3wczNv+ArP2JPllwJUMcYv8vdKqf8U+O/Sj58C3z5567fSa7/g844MlQsmOaO7wvl8udJyOjTkHjLKOJA/M+QKToTkVQBj4LA/QIy4aaS2FuemkjumonhsKKW4Wi7ougZrrACqqPB+QhuF9wYXHOI+nlzRlSJHpaCkFVQ8QnyZvadjdiy5hVDKKTk0NyeUe+cxylCn2eCsW5T29CPGPoIbueH0CTN3zCaKKqDjEUydslPvPifPmKz47t/lRfYnvZdkR6EorBFwtl3vFKA/v3RP2Zzz03v27gxyMrQ+h9uxlCjzup/vW9EbZeReVq8KmM2M42l5s/zdKUiNooPRRFqrIfY0eqKzHqscY/AZdb97n7+0/PLA5Bl3W14ruAnImZhnL54cvWNHxZcB1fEwvmsfvtns1K/6GQakwOGWOomDx2mkH0RHlp3Ltdbc3t7y5s0biYSppGEha0KUogjLm6bBaM394v7M1TnbF0zTxJs3b1gulyyXyxKm3vdijJjdy2PyM6qqJSD3qvee5azmk0+3Zds/+fxz0R/VNd47rq6uWK1W1HXDOInHlg+RYyTzUd8jAmpxOn/9+lVxdx+GgRBjaflfr9fSEegcbSth0tkE9b333kMphfMHUBbnJy6uFtSNYfe0JUQnk9D+QKsV+36UvD0itzfX/G9/+3/lww+/RVVL4HNTC5CLXsplMsFJkoNUGpR4L8vyYsk4jSlJI6ayU6DrOqJ31DvLy/s79ptHpnGQUlTK7SMqLi4usVWFX6/ph4G2aXFBchjdNBHrmqA9OkbGYcAaQ2Naer9nHPblvOTM2AzqlFKEIDFPIlsZEtCa5eu4AK9pmoh+wkdpulLpnh6GHrTCVJan1SPrpw1vXr/hIVlmbDYbFJJocbG84B/9w3/Axz/5Cdro5Ehv6IeBcdhTWYtCuu6bRoMRKUeYHOPTE1XbYNVIM5vh0nHqDwO7ylKj0jjr8S6DKWGmYiIPfHRnjBSkcTEcyQR8wFuNxxN8oDGGuq6pjIUY8S5iTEXu+A4cO8NjftYpsGUcFbZNqZRGkq7pfJ1+nSfwLwWolFLvxxg/Sz/+s8D/lb7/b4H/Qin17yGCzh8Av/eLPi/GmMToGu/FbkDKa+9yKT1lTiglqEyqKNLPQEw3f+7Iiz7gxkgfR4IPTIOhsoa6tvSHA97N5SIMiY3wgRCWGG2pasT6PoAOChcUPkgIsjYyg1fphGX3dBD9lfcCaEgP1IyCS/ddAgzefxmZmyQ+zG3OueYriqbjwG6MPeqVYjoIaQnJZugUALxLa/T8aJ++XxfEWjiLMqCei8xVWldiqLQmKnMy+B4/W24cyrEomp/nQE8dHxyn18BpuUolaj9/dgzZCDScHafnX88A1TtKhYKRTqjfX0D/ngrqs+7quI7E+pSPyILJvJyCkF+OtXrnNvEuUJUnAKcAWR7A8UhVHrdCPd/vUybxy2Drm85Q/aqfYcZoFoslXSfZevvDAVsL0zCb3fHpp59wfX3Ncrlks9mw2+353ve+x3Do2ez2iAbLpTDknXg7DQOz2YzLy0umaWK73QIRnbuP1NFP53CQUtrbt2+LqWff98xnLTGKc3W+DsdxYrc7sFqtC/jKg3LTNNiiz6rFU2scuLq4ZJPKkC5ti7SVSwKE8z5F28hkNHdPtZ107PWHQ9F65RzVh4cH5vOZRDS1DSEEnp6euLq6YrFomGIkqsBh2NM0Fu/AjA6MsCld1xJi4PMvvuDuxXs4/8Df/b2/zV/6nb9C3TRUtfgoGSPxTz4J6YvMgVAmt0Ypuq5jtVpxc3NP282FLfGe8SD2FU1dcblcsF71zLuG/RQYU/ROCAHvHD7pi5qmptGKvt9TWbFtCdOEqSwazdD3uCoQvSllrVzC6/sDoL7U0bnZbMv7QgxYZcuEOXeL+mnEdJYqsVTOjdKYoiPWGrrZnGGcpPTsHW3bcXlxQd/3XFws2Tyt2a7X3N5cYbXk+wXvGA57Rpt0Xz6w3/cMo8P2g1xb2mLajlZFqqrGuwHvQ9IrG2p7tPjIdgjZoZwsJVHhbOxTaWruw3Ey6zAMGNzUg/E0dUNtDNZWQIAAVdVgrOhCB+eIyH5oI5P9kJ/BOmmTk4BdigXqzA9O5YrCV1y+im3Cfwn8deBOKfUJ8G8Bf10p9TvIZv0h8C8DxBj/gVLqvwb+b8AB/0r8Bd0x8nepyy+KeHzyEReO+qnyeC7f5IFHZtA6g05F+T4ZWpcBWimVcgJhIhDjSPSG8P+x96ZNkiVndt7jy11iyYjMrK27gQYwmuEQI41sPtBkJpPJpB8hM9Gk/8OfoX8jE0kjqS8UKXFmMJhpdFdXVe4ZEXf1RR9ed4/I7AKsG7OwwME1JDI7K/LG3cL9+HnPe05lJVBxntGpJSoGEk0oLtd1MlJrDHgdcUGjvcL7Bq0CXsmNF0G1RmmLsbnOK1mEWVvxBKRonUTrqewVo3QhnPy7SYaRNhl6ZkCmlXly/cITcXOOn8kMkYClwhid7P/ZvX52X44PkkmarQwqYhCoctxfvgcnbNTpuZ2UX/Mm/lOhTAxakZi9cNLFmJijEEs4JqmjMeb3z8AuAckCD2KGUx8v+ckxHM1aT6/BcdCNBaCVi80RLiiljpDtBKAqpIU6+6zk137s83kKU7/7/fia78tpfWz72N+HZ+fyvJT+m7eTf/8Y2IqfDkP1DzGGiRP4ktVqRSCysrkzK1BZzcuXr6kqIyWgumW5XHF3dw8x0jRt0ko52rou+piu6yRiA7jYSlzLer0mBo+1JoUG3xc/qlxuNMYkg0/FciF2Cxl0SZld03U9EairBh8ir1+/5v7+nuVyWSJz3r37QNuKpcPd/T11VVG1FQfvRSOWOgCVkTL/cr0lPxd5Ury/v0cpTV23YgY6SraqTcLkzWZDXTdEYjEslS7EPcoaJldTKQsuUJFcrVM5pq5rQoi8uLykP+z52U9+wtX1Db/4yz+n63v+6I916ZTW2lBV9pgacQKqtNYYq4Wp2m5ZLJesVguGrsdNErNSV5YQJrybiD7QdyPWiOs5SqNi5NDt8cGhVGQaRdhfVTZ1NS4Y+x4FbC82vP1wkEWxk0zYEObS9enchLXH8V4p6fKu66qMsTKOHAFInuO0VoRpTONVFO+lylLXcp+ncQAU0zQwz2NhQ43RHB4fUTGwXi/x3pVI5EiFVdDUFu9mpnFgGkamvkNNBl01eFuzNhVVHZingXkUw9bz9QprDdEHSAA8xiBgahjx84zzc8oD9aXUpk5Y/LJw0DVD0ARmmnaBrVYQB6zWQp4ojUk5mt5HhmkCNJWtU7VK5kKljMSkxYAOUeK/Zoc3qpTnTzVUP0SS8X26/P63j/z6//gNr/8XwL/43keAXDfnIs7B5EVM5lwsgOQIpvKAL18xps4qQOVKW55c839/5L1iSIafUaJAvPfYWbqzXOowKBofpP5qbMOiilgjjsghSikpkNozE5o+2hgYUla4tNGGEZ8ekFMDs9OblUFOtlUwWhejywxI8lYMQpXC+1Co6o+xLtqYZBl02iUoA2su9xRipbA5gVNwoFPcTT728j4qJluAcv/Jg2qxETC2XPv8miMwOvpfSTdkBlNHr6eYXNRJIOoJIlHHm3ykdWMBN+K2G06O7SlQ/HW6qXztYjnXQNEUCY4vgFKDJMTn8yvRB4qsaZP9ZaD57MB/w5Zfcbo4yMedjRji6euOZ/Ybd6+e/XzKap6WBZ/YVXzv7dNip/4hxrA86fXTWHQiRhuIObuzZZoHYlTs9x1K6ZKnVxuLtRVdJwLutm1Fi7Rcis+UMURF0UfNXj4jGXD1fc+LFy9Kxx9Erq/eMfQHKps/Y9KFWNfmuAJXiqapIJXBctTNYrEoInpjNN9++xYRv0+pS1DCzysjsgeFKuyW1lpE+ak0+aMf/Yh3794Rg6fbTygjZqO5uzCEQN+Lz1YeRKqq4iYJzH2QqKPG1mzPU1nO+cLmaa35yZc/YX84sDscWK2WPNzfMjtPnUpmdRK4r1arFMcpbJzcN5krxAKiRhlDVVuIgbquGPuDgMqpYhoHbm+vmYcDBI9GEQNs1mt8EABijWH2M8PQYetKWD5bEfFUjaXf9dxpePnyJbvdrox/xJq2rUrIvZSBpUuvaUQnJo7iUo3IICpnwWaWUVgupCSJSEaGQV4TIil/saGymmq9om0WBDdzeXHB7vGh3Gc3R4xSKQ5mRinFom0JXiCWUgo7O2Zj0PUCoyUZQv5N5r02WXpobXBuRtEmSwPHPE64aWKchidgypcmrSOQQhtYnhHmgBs7jLW0i5a2XRDcQL+7xViL1WIa6kMQv6mEHXyM2HqB854Yj6bW3qWZIXiC88n96GnH32myxvfZPgmn9BDFTGycFM5F5lkiZwpDVVYTpJH+OGBnMJUndJ1B2ClrEbMjtGwxpjQNBd4HtAvMCnzoGax0FmhlUElQbaoarSsaYwBxkZUugmRIqZJJp44YJT4XhiMQUtpI95Q/tmWWG1U8no50o/xaOmzyiWQgkx86rcITUJVByFOm6ghe9HEmPwFK6XdPWJmjnULRWiHAKb2o7DdTSDmGp4jgSTYEWsDksbSonhxTLoedHtPpv1PA3cn3k/Jfub6ZpMr/l/42ppLf85Lh6c/PzUx//bFQmLkjeImF/ZOWXg/Rix9ZSI6+Jx/MmDGOymzQb799h03M35/Quadlu6Oo/oTUy6fFyYLw9E2evObXHstvcfz/pW0xwuNhnyYQ6cIlijbJeylvSNevZre7F0ZntRRmYLfHO4fWMkE2qVy1Xq/K86mTjsU5x3K5REKR9yyXwoqt12tpvZ8G+n5PXVdU1RZAdD4o0ZlUFT4tCI3WOB9omqqwvbJA8/jEEnsfePPmM3a7R7K0YJ4nmcCqimE/lHibHHVzfX3NlHyFjDElw0+NDltXcH5enMuHBBiUUvT9wOXLFzjn2G63eOeYDj3tck27aHm4f6Rpa169esWHdyKm3m5FYF1XFUYr/Cy61cPugd3Dg7h6pwWk957hMNC0lVQzkiFyCD0hCKtjteLsbILSatIAACAASURBVIWfpaKwXC4ZDvvEGhkWi4YwD8xeMhHDHFAqyPsAm7M1u8OOcZpkOa1UspSwECJNKw0FGbRm2wywjNOYGCQZd8TQVQxXsx3G/f0d6/UZOSw4j4HH8V9E1vPsIBUxjNHFKT+XEY1piDEyjD1aw9X1ezm+poEUexOjwmrF7KXkqY3G++SL2DSYtsVq0TxrbdOzNovgf9HiRummzDYylbHEGPCT6KeGsSt5lmWR/sz93OuK2bbMzstxVBZrLE27EEAVGlT0KD9hjU1O6WCsFa2VnyFGamuJyjBPMvFrZYQM8R4VApPyeCLRPyUuiij+e26fBqAK0I2RYRSWKvtPxVhYOkg6GaGeEm2rBbwafVzB5yV7ZqIKw0U8nR/KKtynaBulIATPbHwK+oTJiTA8BkVwgcYsBYBpi7aGJrTY5OAegydGm9yyY/K8EDBlUITUUXDK8sAxQe1oG3DM97P66FdVwEqmeDkm2cNTewXJGDyCB1WEjk9LWpmFO9UmPQUWmV0Rm4gYkycYKgvHCtOVrbCyl5P4wRzbY8nnWO55ZnHysT6dlk/LgeEUIUdhz8oR66OOKu+vnLdSElp6uv2az8bzD80RcPmEz2IhffLRZsuGGFINPllqOO9kZecD3mX3X1dA1cc/n3+HrE4BTHKUmUEt1h7PzuP77vPXbd89n0+LofqH2WIxz1wuVkVsK91sq+J2nkON3759K/qPRkp8t9d7tpsN67WYJgK8evU6jUtB3M+XS4Z+YL1e8+HDB/aHjpcp69MYgzUwjl1hYKy17HYHpmkurttTsmGQscOSmza6w54YI9vtlvV6zS9/+UuGYeAsdSNm8LZoW77+ZleA1/n5BavVksfHR66vr9ntdhhjqZslhLlkpI3jSGUrhq4nRDmfzbbhyy+/5PFRcgJfvnyBNoYPHz5wtl4X/6ToZ/ZdJxN+VNKJaC2Xl5dF2Ny2LUZp2kbTD5M0BLmJpqpYr5aQQombpuGw32OtxJDgJwye5WJBr2dCVFKh0HJ+Sit8YorefPaGzXrB//cf/x+uP7xjcjPL5YJ5mNKCKjINA0YrQphl3vCi9SIEVFpDG2O4ublhvV4/WRAPQ+D+/oH1epXE8hXWmmLgmsOv5do7YkwGn7YqaQxjMiaNMeIGR9MK81dVMhZnE1gx/RSNb9s2eOcI0eFT0PA8TTKGKymzOjejlRX2SIGyVrTJKSUBUlQbmqZtmaehZOOdn50RUie7VYq5n+g7AVPZyT/78Z0ulkcsjprh0BFixJoKkxzW59nTttC0DSGeo8YdYZau1rqWmB/y/IYsSAwQrJAoRAFdc4iMTMypEx5Ap2uVu1d/42ry2fZpAKqo2A+a/eAFWM1im1C6sNOyWsTYihg1KIn7sBaMUakdlmQ7IGAqeIjqaAAGp4WWXFKi/D6kazfiUfQSLIyWnCICrV0zzR6lDVpZ2tqJ7gopiRk4CqORY1ZG/IlM0IDlCePBceJ/Ln4zxqBOABXqqRnnKRWpT/yP9EkETt4/Bch8fFY8gixBRUeGquzk6etPSnLaGFAmwV2FNiKXz+UtpXS5KMKUifhca0UIx/cW0HJ6fOnDBUUPUA6HFCatNFodWSsxRD8peSpF1DGBsAyrT9mv55YNTwGZXOdEP2cmTYNJ3ksxoXjpDE1lYC/iVOccswvMKcNtmiZZPT0BVL+50/LvZzthe0++A6XEWrbTn3/TcT7/p3+EeCrESF03XF68KGzNOI5lUbHZbGjbls1mk9zCK8ZxZLVcsd/vuHwhOXEvXrwkRs/t7S23d3ecn19yf3/Lbrfj7OyMH//kS37xF39JjJFlEhhPN9d0hweyS3m2A9jt9k9a7GMCNlobVqsVLhs/JjZquVwzTRPv379/EvI8zzOXly+lYYbIYrEU4fxyKdWFcebsbMtiIcHPV9c3RBRNuywi6iykXq4WuNmzWEvQe98fCoOltebx4UFY/hg5O5OuxHGc2KxXmKrm+v0HVqsFkcj7qw9Mw0jT1KxWK5qmZppn6tqy23cyqbs5sRMp/UJVuKbFTT3jdJBFdUBE1VVbypZEqGor7fcK6qZmvVpQGcU//fnPebi/Y+g7QAxEm6ri7uFeACoBlDCA55szHh8PuEmYx5xtGKN0PNbJwFUphbUV67NzmlqX5qOcvQeqWG5kk+fsRRhiYqX80QIglzSji3RTV8qGXX9L0zQMQ1+iV+ZxTDmjQebWKGcxjzOVtRhrxL8rBDARa6xYDkQFIRBC0qIqmXfneURpksZOPLSMFqZsOPTs9zuGfc+MgPvcxXcctzVeNww+Mhx2hHSuqpLmptnNRBSb5EavlOK+71jZiqCUgEovxtp53PI+BS1XlURjCTOAaQx6tOBmkQLhmdVE2yyP1/4HjNGfBqAKkWH0UupLUTOZnZLvUUpHPqBVROw8hHExVpxSlU7N+qncEUIkagFJGZEeS0Lpjcv1zpMoRV81OQ/DgN5pjBGL/2U1EaLC2obK1CyXS0hlq9pUKIQODTpiEjBROoUFx6PPxXPBWwFUT/CETPj5wxc4rmS+OwknBuKE6XnymtPOlvTe0lX3/FlJx0ICCkqE9cGf7ko/mXQzm6ZOzuO0hKaVmNEFBHT4om/KhxpP7oM63p7j/5Hd78stJDNUss/TWyuDwRE8yf+O7Fa+NvHk5ydX8mSV9ORvyCzoCdOnSOZ/I95LRMg8jWJyOI0M08w8zclXaJYO1hMw9fdbLPvt9v0EWJ4Coyfg6jt/9Fu9139JmzWG4MXHablcUtcSgfLw8MDV1RUvX76UEsswlDJwnrxzmdCl1fo4TozjxNkZvP/wge6w54svPieEwONuR9O2hASGotJUVtN1hyLqDiEmTY3ot6q6FuH6NFFVYszpgi8axxAiZ9utsCRdzyqVER8fH9nv90x9z+Z8w3aVusG2gWmSUt1yuZSFkta82rzm+vqaGGMJfp5HYUPW6zUg+qi97wjOM6TOwIuLS5koZ3EGn6apgMKmEQZunib2hwO2rmnbBc4nL6IgzuvTNAl4S2U8vVnTdwcO+wfG/hxT10zjgK1qAYs11LqlG0f6rsNFDQzYqqVuR2xVi++RF/sLbSzOO+qmZXtxyR///Of83//u3zIeDihtsDHi3YwyikXbMMxSajrsB4wyTGEqRp0xxsIU5QaA/X6PMYblUgKe+04Yw3xNQohFmyd6NRlAx3EiETxlHG6a5rhQR2E4+qBNu6NOT/RayfMwSARMSFpbrY7Bxbnk3E8jUWsqI+/tI4BGWelozgt67x1unnBulpKbSmzQNOHcxND30tkXSNWgY7NWQBGUwXkpW8riW0KYA8nhXGuUsYCmrhu0gsVqTXQDzFIaTXUSyUJEQoG1rlBaLBbmYZTnP+TkEJssMALgGNUgjJgxP2gk/SQAlQ/QDcJMze7Y5q+O+AitoVIRo6C2GmsVRoE1EaVjyiwTXU4AfFCIckBufvRZXMzTCTPtPxNEKh0PUyCESVgQc6CpAgvr0UZcZRftgvPZYZRBKwFzuetCKzFUMzrl7qlje24efLIGqZT+nglbYkIIudyXO3mKbohTU8wjiIpRPWGsAMIJwDktG3JyPE+ARQIOxfpA5UiRp49WBogfA1Knrzli1gRkYjomnY1OywsKwC2/i/m8SsHqeI0IhHAsCBc9VnpdVM+MIMp5Pe3qe85KHZ+N7LlDeRjL2WU2KvjkOTQzzxPDIN0t/TCwP3Sl9JMDSY9E5O8wCHnOQD0HW/8IGaoMjLz3hU1arVYAhZnIpZvsej1NE6vVivPtBbd3N/gQ2O33KGC5XAnwcY7Vas04ThIJEwIueKyROKBhnPDBEp1HK8UwjHgvk2/TtoUJk04ui9JKmNJpSpYOK2zdFFd2kjfTMAx0XVcWXqKhSh2xWrHZnvPi8pKLi3Our2+4v78rbfBVyjJcrlb8xZ//RcpGNWXFH2MSHhvRAbl5KuNLPufr62vevHmT3i/ZBBhNP06plV8AwuvXrwnOs9/vy/XW2nD/cE8InusPH1it16zW0iWptBgyT7FmWcO6qmiXZ0yTZxhnJhfZ7w84/4g1Jrm5CyCodI0xMI01n//4x/zo6opf/tVfEX1gjIHaGNpGIlZsgLu7R5ZLnzr06lJtyDFB2aDVGCnree9ZLBZUVYU2WRhfF3PPrI/NHmUynhi0EUYqj+vZXT+XW1eLJeGkmzprr3I24LHaodLxpapH8pxSRuO1kjKf1sToRWcVlHTYGQVRl0atmMLiY/SppOfEAnKWuaBuKqZhQEdEV5zCjqPSuAjBTfgoeYd13Ui0jxZjaLTM4UorppR3qZBoOB9roncoIwJ+ZvFFG30g2om2tUTAjWIgGtNcmqUzcr3kHjmXAqRTNun33T4ZQHXowQUS6j2SFwqSbb9hoYQ+rqyRMp+CSoUnovSghL8IIeJswDlpjQxzJVE2Phz9rU6IK3NSFYvpmMIUUUxo3dGamUY7cchdrFgsFrx88SK1zmp8yu7Lk6aMFwYTDFoHVDy26xYB4YlAPZwAqgJC8qSr1LETDgE4pyDoKTj4Lrg5hRV5P8GnZO4nYOppCSqXISVSxRwBy8n7lQy+j4CpcgYqCdtTl1xePTypjybGJyTQe+yejEdAprJxaqK3YopGKe/7/R78PLB8THx+CqiOPXSJmeJpSdCHZLbo5iKwHYaBoR849CNDPyQ/IPFkefr+PLnuT79//Gz+4cuDv8X2jxBMgUziuQNuv9+z3+9pmqbk1e33ey4vL8mxIY+Pj2STz91uR13VmIUsTsLsSmno5cuX7Pd7QsjCZCnf7Q596UYWLYwl+Em0O+mzYtOzLF198pxmRjxPIlXTls9DXdf0fc/VzQ0qRsbkgr5arznsd6WzzHsBCd3Q8/Y/vuX16zdszy8YxwHvA7P37A8HumHgbLMBApUKJc9QcgCtMLiz4/b2nqquubi4YEpAb7VaA4qb21suLi/QStP3PfM4YqxlSu7yYz1Kh17blk7nw2HP0A+EruemXbA+W8vCWGuqtoVkYdNFQ6uFLWpawyJIvNj94yP7fYdzjtvbW+rKElGim21E1zSOE3/4T37O3cMjd3e3qKiZrGK8u2V1fsHsI9ZWBdycnZ0Vi4KLiwuGYSi/PxwOpTScnw/nIsFLd13WGgnQHdMiVqNNxXIllht1LfYWi8WCaRIz2Sxkj1EaqELfM01zCWvPgComZs9YI6UwjgbGuq6wCwHm3gt7ejjsCc6hYgLK2oqqObFcMfrSuScgRQyNF9awaGqmoUIbYUMtislLt3zUQBTLA49KjvfyNYXEwEXpVs0i9RhlbrHagHYoY/FeEZQ0R/kgDKNxS4ILWBKblqQeRTqSNIVyvXxikV2pQH3f7ZMAVDHC5J/pOVJFRCNsT200rRUKrjIGa5WU/7IgXalUvVZ4Ij5GtJccMh0CLhpC8AKUEOCFPU5apwUYlWrBPoLynmma2e9GrHJUVUPbLmibhv51jzW6WDdgAR3LxBuix0eNxidd0ZEleg5ApAPodMJUBSfkEkFhpLQquXlSekp/majaJ9eWpxNx0WClMuTpPRD8dARNGec88aDiCJ6eA7dTp/FT4PGxGy5s4ukxUcBsJBZgJR/u47kcnxKhc1WiLxVGLCYS2FJRPZdkHdkTxZN78TEwVf5IZXWYhCfnUlgGxN453DQzjxNjP9B3HUPXse8ETO33e4ahL/qpvwvA8RwMfuff0/XJrz39/vvt72fL7E2eOGMUALRerxnHkVevXiVxr+P+/p7dbsdPf/rTooux1rJYLqRVXo10+z3TZFitxP18niZ++tOf8f79e5wPQI/zXtrEUxehxrNeNijvccnYc7PZikt7cnzertfCSsTIbn9gbcyTZyOXzw77Pe1yUcTOZ3or7e7TjNKaaXJM047las3t3R3X11ecn19wf3/H69evWSwWxWw0BEU/zOLDpFR5j8qIncA0zyX6RjrRlhhr6IaephUmRgTaFW0jPnXLszVunNjt9iiFOJoH8X1SSoTg/TDw/t23rNZrFAbvke60uoYI2lREWyfQMqOMTYtrw2q5pO96AWZai5cSMhHXTctytWZ1dsZPf/ZfcX1zS4hBcgPrlmFyiRE0tG1bwHFVVXRJjK2UKuaR+XWio7IpMBq0qct/Z7BV15ZpjvigaZNx7DrdUwE9/mjbcbJf7RyTm79TqcjlNp0rFRqqqmaMkVhZlDVpPwvEw0xKy4fZoYJPFg2BECKzE7DmvEchYvngnTiuRyEcfHQoI/OKNobgJ4gzaJv0tUdpRUzpI85Lx6GPAbQYfeq0kBiGgaYSu4ZUiYSocH7GhVQyVAo/OaINRHO05clkQogBrQPGJLIhJEPoGE7Yu++3fRqA6uT76TShozST1dbQVpZGO6w1VJWRnCKlsPZIUAi2Bk/EhYjXIQnvAiooMIHgky3oqawKymSuNRgFxgKppDoPM0NUPDJR1x2r1Y71Sj5wlTVoImLNYIQmVTFP64g1gJeAj2cg6unDLUg7Ax5zUsrL5b/82ly2PJb/vnsBj+zU8QSfgiDxuHouyn5+T5Q66qY+xlDlY8rXsMiVYtbgPIVBZf9PgFssLz2KwY/eUerkBsdnJpLZskAIq/jkHLOXfC6x5ZV7PtDT8u9Hz69cuSNbR35tCEJlu4nZTcxuZBx7ur6j7yV09NB1HA4HhmFMXjMfuVG/5fYbAdLfksn6Pfj64dswjOz3e+Z5pmkazs7OUEoVtiC3ynddV4w3s4dU/nkcRuqmQmlF3TSSEzd7Xry4EG3V7DjbnLPbPZYYGlXKQSJKbn1kmjpEJtDgQ6Bqatpkpvj4+EjdtIQI2+15mYBz519d18xuwtaG7iCv77qO8/Pz8lyESUDQom2pQuT29p66bmnqlqZeME+OGHu01lxcXHJzfYsyNcv1Fo2Ute7u7tDV4kkpzFrLarXGhyCdYqmho+s61qszbFXh4lxYN900PNz3NK1cA2MNfS9l0bquGUfJ2bu7vmbZrNieXwizoi2OkcYYlKowVc3StkyzhOyG4FEk9/GqYp5GCBZjWqq6QQGL1Yp2sWR1tuGzz7/gm6/+mnXb0L56hVKat99+yzRNnJ2dlWy+uq7ZbrdF75XjTUjvdTrOZkG6sRVukEDtvu8xpmGaPMbEUuYrnXJpP6vVqhi+Hj39RJZyyoQB4ueVjkEp6Vj2IWKaqoydMYoO2RhVtIExRuZxSqL0ZD8QhQCpdEWq10h1JUYaa/HB0c9yvKayaDeJlg8k2zQhIqUDKuokcJ/RlYZ8zFqzXiwYO2kIIKZO7OCRST1I2c+H9Gwb6UwPYmaqGoXRSbCfnqMQLEF7orEo5ZN9ieQqqu+YFv/m7ZMAVAAoU5gLTRQwBVRK0VrDwmoaY7BWU1lDZTRaKyqb5S2RiOinQgQXI7P2GB+xKqJ8SAyDJ84eh2i1ciVGGbHt0Fq6Biuj0I0I58R7qGYY4fZ+pKo6jNnz+ecPBGQijyGApBWRc+2ERUoo49lkrbP/1LPJKz/8MUTpUOMU3Hx3oozxqZdS+fv8PQEH+dMjEMqGob9eUH4CYp4d++nPp5Pvd9iQ9InMLNrxj48nVf7mZB9PjEOfszE6I8ZIzjHM9gUf26TJL/NecjzxBDDF/J75PE/BYjzCnmxvEeLRWypT5vMsgtNhHOj6A12fGKqDAKpjjMER3D3d/m4BTHxGhZ3el9+JsuHv4FbXFT/72c+4uroqIOTy8rI0lRwduyVKarFYFD1NzrKT3LuW7XYjzuaHTkpT3YCyooepjICGcRRLgrppirBXSloNw/6eqqrYnG8x1hR9l7WWbhjZHzrevHlT/qZO7uzzPDFOnqqyNM2W+7uHIrDPWhvvfWG8SryLNRz6Hp8+F+PDzPn5lmE4sFyuWSyXvH/3js3FOf2DZBj6qKlT6SkzUOM48bD7ls8//5w6CelFKCzRIYumYXtxQdf1DMNE09TUqcw6zzPVcplyOxX7vXh7rdol3f7A/d0Nbz77XCYH7zBVTXAzsTKltCldhwMEEVZbrVktWlyVbAO0pmkFTAzTRJt0Yo0xNAru7u/Z+BWRKA1LUIBU9hdrW/GV6rru6DGmjx3cp75HMv6Jx1OMjro5ExG2GY9dfGlfWb+XAVYuNWbgljVCNo+D+phbd+o7piuNMmLOKuU76bJUShfmSxi3isOhYx4GNIo3b14kEFfx8HAnTCaam5tb1usFoWnQtVgthMRURXyas1XydPREZVGYBMRAxYCKAaNrsSCyBj/NZSwz1qKUaFn9PONnkV+o2VEBDk3AlOsiLGDE6CP0KaAqSVKcSyJuIlr/sPXpJwKoFCoBKvCiXUlzm9WK2mpaC43R2MqIKN0YjAZrj3EemaEKUWGimGw6FfAqoiqXUG8qX7mj0WIGYfnCGWNpFzVtI46yBiBUODcBgcfHR8Dx4YsLIkFEjqslaw1TrDAIFW+NxppUuovAift4jOJEC6eaqePkF4gpPkcRlS5lRGFHBGzJYCR06BEMfefSpv1+98F4DopOS4zHiTckT6hfLzw/ZXeelM3STVFPQJuwfkdwIYPGqd1BSBYEuY4fT98zH1uk1IWLtunZ+WS3iHx1j9E/JwAmRnSQr/JarUBpnFKIKDE++5Mk7HdeVtHTxDhNRcjbpZLffn/gcDgwTS6xY/mtP643+/vYnoPc38Q+/R5s/W02VcKIs2D4cDgAMAwDL168YBiGVAIenjSZZIYhxkhTNzRNWwCYmx0Puz1nm7MyCQ/DgFKK1WrFarUsLtlZT2WbFefnay4uLrDWFg0OWrQ3OTMvsxkqDVDOz/T7Hq3FAPHVq9eEIJ2L6/UZbbvg/uGe9Vo6Cad5ZpodtqpYKMXlxUWJrwGwVcXf/OorXr58Sbtacn9/DwGs0vjgEggIaG1w3rPfP4qdQ9KcxSDlp914oJ9GXrx8SXZ8XywbfIy8+fwz7q5viFHOKYbAYX+gqStQiqHvqNsFf/M3f81nX/yY7cUltVKszzY478p4ErwXX0OlWDQNfe8JwbNcNIwjVFazOVuXpgKtJT/u1eUlf6E12lo2220qFe7FH9HY0rRzdGZXpUEhh2WfBvIWWQdHsKSAEA3RiT4u+5mdLohjPHYBZlbUpNBgoCz+2qrm4MbCKJEag0IMLJuFlNsSu7nfHxLz5Yu1g5yDLtYbg9a4YeLh/pEYwFoxwTZmLuO0dwFngziWa8lhVGmM9RFCShMR+4qIOPfnMDfS8c/oGMQwOXVWx9oQgsMaLT5X88yULGrE98xw8EmznEDyPAtZEE0s8W3SqW4wWoxHyyda6R88Jn4igEqYnFMRsAYqA5VRVAZqE6ks1AYqq7AGjFbUlXQi+HgUO/uITJJKo1UgKI8OGqImBJ2y9eRB8jlNJIBXSRiPQlcNq7MNZ6sli6amNhXeOeZpoOv29MOBb775mnHq2O83XF6c49wFm/X6iYdIFQGjk3A0dSsaMfuUUw3YAgROIlIix84MddQ+AUT8yX8fb7rW383nK/0bJ6xV+s3JtU8MzpPJNp58fzoJf0z/dVqPz68hpu7FZyUupSm5e+LzkanlRB/HJEiPoXBQOSpToKY++ailfWbwld/75HyefyhKntfp6cUMGkuhFR2zdix1rkSHDiLijH4mBoefpfSSSzZ919P3PYdhousOkjbv4hFUn1zzvz8A89vt9/elvt9+88Hz4cOHYiNycXGR7r0rJa6Hh4ciQM6fx1wGBNEvVVWFNZbZzVRVjbEVP/7JT/DO8Yu/fCASWayWkumXShaLhexvv9sV/7pDPzG9f580NJpxdhhjijdWDi+WxYtnGPrUdXhG3/VcXFzQti1v374Vt/BxYpgmpnnm0Hc0i0UyLt2nxhSZIEOQsbxtGy4vV9zd3XJ7e8uPfvQjvvnVVyglwuwpWTgo5agamfTbhbA30zSx3x2o6lrEw0l28P79B7Q2LNcrlFYioJ9ngpvZPTyKWWdlqGsJvD8M0iRy6AYuXrxIMT7CPAQngulc0xLdm8dN0jWmoie6mXEek+YsYPUWBcn0EoJzzM4xec9//d/8t/zqb36ZTDVloXv/eMv5xWURjWc9VAbEuYkBno7v2ZQ1jynee4lNQcB3jvnJoCqD7ynlK56Ct6zPyx2iPjmDj8GjtHTmGWtom5qmqdNrpKqxWCyeMF3z7LBW4nGstcX2o4sw7kf6vsPaKumnGmIbuNnvmKaZpq7QSmN1RaxlPhzGmTlE6ehTmqgMAXmWokqd7GKsKGQEAsaIElQNQJSuRecDbpbjdMn+gRhYGdhHS9CB6ElCeQHEOZ8ul1i1NuB1AlIBMb3+HdRQAWkyDCikVd1oqCtoK40mUCUgUlklgEorrNFUqQRk0qQr4Q4R5UErASuOAEYRrMJ7hY86lfvEcCx6Yagi4DzMLuCjwlQNzeqMzWrBum2oqwpFoOv3PCSzvXke2N3fsn88pz/s6S8vWa/WtG1DXTcEa6DkacnNccZgjS1Ub8SUyRxE/JxF0JmJydEucKLtUcfOBPm3o2V/mayfsTaF5eLIBslK56nRZi4R6pPolicC9JP9Phc4Fh1YEciflvsKNXVyTHLeGbyE3J598rcq5nr2dwFaeoAEFYuirexPnb5fNknNJcUCy9R3AFou9ymlRBugNTokt/Hgwc9E54jOoSZPHD1T55gOju4wsz9MdP3IOPr89uX7x4//99vv8qZQRTNzcXFBXdfc3d3x53/+5/yzf/bPeHh4KB5UVVUVG40cQSLGmstjeHBdUyUm48OHDzRNw5s3n3H/cMd6vcYaw+31DcMwcHl5frQMUIpvvvmG8/Pz0g0VUXz++efC+sRjgsHFxQVdvwfEKmC72UIURu3NmzdYazk/P+fq6or7h0fOz89Zr9ccDgfqumGeHGfrDbayDEPPxeUl2hi6Qwda86tffc3r1y+prOXq22/BO1Ri8NrFQrqvzDFHMBtYxhDRxuJjpK0qYUXggwAAIABJREFUESFrg61qfBC2ZLPZlGOZnUdbi3MT3o8EJ+HNKIWtKx5v7rBVTX/o8M7RLiT8NwZFrVvJHgwhjXkBvKPSyegyeLybaZuWpq6oK8PQyxgQEGf5/+V//efcvH9HCJ6bqw/s93vOVuKW71JmYmZ4smVCLsOeAhbvfbHWUCjcNBNTKU6lRWDTNDjnSgkPKCXlDJBzeTYDnyxRiFEsF/I2BkdT2wQyc8zKseyYy8ExRimhetH65gVBtsGwdYNaGeqqxRqDd4HZSdrIer2lqlr2+46X6zOqppbr7Tzajmg7MQcngEqbJPhR5bwhsYeAroQpDBoIirqq0FoVrz8fPM7PhDhTPAijo44QtBXpjsp+kCIZiiGWUmCMwlppnbsgHTnR4/tunwygEjAVRAwIVBYaq6gr0UlZEzE6YEzEqIjVQUTp5mRiV+LNIvqryEwUO4IAwQhYskZhvcaZiPbSKXg8BrE7GOdANzgOw8xidMQVVJVhtWpZLhcYc8k4vOTtN3/D0Es3zfXVFf2h4/H+gYuLC86356xXa+raMtoTrRIKd0LzVsaiq6dhx0ppxNFfHgoTJRQTAkGBUjLwCMg6MlSnGUhFt3TS9fdEfK11EYLK30a0ziAkI3ehe09B1CnTlX8+Zaby+2SWSK7rScksisH/6d+Fk3KfbIkpivm/EoArOjB1gkeOfyNPfjgRoufmgJPzDyGV/kiMqBLPs5P3KRgsSuq5vG3SHqQoA+cD4zTT9z37Q8du33E49BwOI7u94+6hZ3eYSeNgOpKn50euOT85j+M5l59/j70++U0pxcuXLzk/P+fu7o7VaoUxhi+//BLnHF999VVhEvpe2KDPPvus+Azl9vnH3Y4XL19xOAi71bYN19fXbLdbukOH1obr62t+8pOfoFNJR2vpYF4sFjTJ+mC321FVllXSKT08PJQIpKZpknO/5NG9uHxJDPJ5HoaBqqp49+4dX331FVXVcHV1JTEvw4R3kaqSPNPN+TkA8zSzPttidFWyCxeLBWebDbvHHcu6QsVYRNJKKc7Pz3nY75nm+USXGKhsTbtcsF0u+eabb2ialnGaWa1q6qbm4eGBEEJpACit+XHGuUHiZLRKwEELyN1smJ3j/YcP/OIXf8n55Su++OnP2B0OnG22ku6goaoEXChj0FRYBdM4omNgsZCx38eYLHJgs9mglWL3+IhtWs4vXvBwdycO4asVla2YxpFmsTiCjxOAk7WVwzAUYO2cE+3Ss9dm8NQ2jYjznSuC/mOsVfwO0MrAPeuocgm4riqU1bRNRQgm7ScUbWgGfAL0xA2963al2ULYNi9rS+dRVhNmzzw5tLLsHu+oa8Nmc8759oLaJFPOqNCmwlYN9WJJ7QJeTcxO5jS0BRTezaDEZTtGMcomBKJP7Aey+HazS8kUHjcd8HOHUqSQZPEKJIzYtgVcAVXZGNzH5Fb5hCwQrJANT3/I9okAKrlAmkhFAlMV1LWmrhR1rbBGugwyqBL3gIBSnhyZkgrAGDQuaX+idyJVV4Hkw4pOGUUZb4hI78h9zC6wO0iqtQuwtJ7WRprGolTDar3kxeWG1bJi93jPYbfjcDhw2O/p9nse7x+4356z3WzZbJYsl62IO6saner1IQSsMUQjUSWSxWUkof65WSZauimiTnNwit9BPDsEbR/LCHk7kR1RwE0CadmD6vj6I1t1tCqQ2vpzVuqI8p/aKXy3ZJR/Lw9tYtcJx3/hOZA47h/UieFc/v/CURUwUuASGVSJN304ZgCWr+NLjwBKOlM+pg0rTCFAiKIF8CF5oETG2TGME904cugHdoeOw9Cx6yRfbE5ahu+e38k9KmTV6XvH44meXJOPX+OnWzy5Xr8v4f3DbSGGwi5N08S7d+8wxpTS2RdffIFSiuvr65LrBxSxbIwxlQQ7fvX112INkFzIz87O+OUvf8mbN2/Ybrc83N9zdXXF68/e8OHbd8iEIJ//xXLJixcvUEqlzDZYLCRCZrfbsVwusdbg/EREQMzd3T0g7Ef2KHp83PHFFz9mv5fA53EcWa3WuOBxc8DMor/K5SiSNMGYCuLI7e0tq0VLnHq67lDE2XUjHW+nejPxvxpxbuL2/p4LLZ+6Fy9eSdnJe5x3RZ/lvefbb7/l8vIysTwjdd2y3awY+x6iAKF5ntKEKCWhm9tr/uW//Fcszzb88//9p6yWEup8OAwoDdYKa7FqWxqjcUExJ91O0zbUbcv1zQ37g2iLtFLJQkI+51/+7Gd0Xcdf/dVfMU6TGIIag9GaOcVR5TFaAK0rrNU8z7x48QI/S8ddBjSnlY2qqooH4TiKD1dmpoAn9gq57HfqE5iBWdU0eK2Zp4lFm5iaqAooywyYvF7igbz3XFxcoNP5SsRWOOrzgKqtYFbYeaZtFmgD8zyhlRij+mlI0UB16jyNuKgY/SPRzfg8TiuFD6rcjwhoJXO5C76AQ53YtTh7lN+DG46VEjKBIN+tBlVViZjIc5aYmIpeW5VzTheTI5b6/ivaTwRQgUb0MsZCVUm5L7NTlYlJ5AfWSPiwPDiSDq5U5raANDEGrTBamCkVxKNCGB1hTJL6SN5bS/kn2U8SQmQYZu7YM0year5nHlOWVZhBearzLa9fv+bF5Zb+cOD+7p7b62se7h95vH/ksOu4aW64vDzj/GLL5fkFZ2dnhRFSiN+JTSsKEbHb0m1iyu8Nuf1UnwCm3JWRQUZMYEJwkIAAHXOuXgKbCUaEGKV7ouxP9vIUkMkDxwlgeg6onm+nvzvVMeWHm/Tdc9xf7kI86scQ/6ioknt8ETmRC7tHNird7/Sv+cMorNcxIyr4zDSljpr0N5kNfMLolefxRP+VPphTGhS7YaIbRrph4pC+dl3P42HP7tBxuxP/qQKonl2r5/qpUnhUohIrTNsJBvwY8Py+2++B1d//lmNEbm9v6bqOL7/8knEcubm54d27d7RtW0pud3d3bLfbAnrOzs6IMbLb7Yr5p6oqlkvJwjs7W1PXNev1mseHR0Bxdrbh7u6Ofhz47LPPSplmmiZMKtXJ5KBwLpTyXSTgg5SCpnFKHU0CEFYrMSw2xnB5+UJYse7YqaoUNHUNxvD4+IhLDuXb7YamaVgsl3R9T9O2bFYLmsryzeNDaUqZ5zl5bSWAkMY37wJVXbNcr6maurjNN23L7AV0XFxccDhI7l8GDhAZho6qqlDGcOh6rFYSfpzav+e5Z54cy9UZ4+SYg+PV5z9Ca4uta5SRhek0j8JyzBNunlk1NUul8PNMs1zQLhd8/fXX7A8HXLKaiCHQdx0RxADUWuaUGdf1vYjOU5lNcgzFLyoLxMdxLFokpRQf3r+nro6sUx6XTq1tQvBM48AwTgXM5JJh1mWdyjAyoCpdyTFCXRMTaOrHmdqa5H0l41JVVUzTzDQ5ITWSVcI8z6JD0xbv45PSYpkboqaqGunGiz1VXYMW77FQ25I8IfNcADWglMZFYcJUVBibTXIjdWWLBCRrbGMMJb83zD2Md8QgmZXeJYBPpmggKs1CK2ZdJY8ssTJSypZpMS/Sc76hrNdFV/VDKgSfDKAyyaSzMmDzlxawY0xAG/GkUjqijCBWoe1iYp8y1IxFf5PLRk94kPSAKpNblkEpLxdfajrlmKbR413Hh2kW59cYmOeR4B3WajZnr1kvt2zXZ7w4v+TNyzfcXt9wc3PD4+OOoRv5dtjx+HDP7uKRy8tLzs7OqG2VfKYopb8MqLIgUcSphqpuMMYmzyhVAESIx1iUTAs/oS2TmFM+JM/KWSTjMiSiRyvpsiAcy30ZSDyZ0k+A1XdF7qcgigTunoKptFfis31+h+VSqUEhZtCVD8en0lssTreZypFrchIvpE+PX37WSmHKByVlP+qnVhEpyQadSoIhyrX2QUp80zyz73sO/cBj13N/6LjfH7h93HF1/8DV3QPX949FkJyfqB8GaU55ppPbcfLLePK7J6/7fXnwP8s2DD2/+vor/vif/FO++OIL3r9/X7ybMhPz8PDAZrPh3bt3LJdLtlsx3Xz//j0gDNHt7S1v3rzh4vJSrAnqmq4Th/THx0f6oeflq1fc392LCWNd048DTSWt7MPQFYbi5cuXaK0TUzVTN2KAWFXS8u5dLLqteZ5Zr9cslyuGYWK5XADSMfbll1+mDtaBaZyIWrFen6G1AK+6rtlstuIvpBTLZYOfZ8Zp4uLiknmeuLm5YR6FMdpuN1SpbLXb7dC2wodQBPTeO6k0pOae4ugdj9l24v4uLE1mVvphYtlUVJUIm70PNE3DPAvDpbVhtVgQvOdxv2OxXLE+O6NuWqqmxmrFMHSMQ8+QhOgjEe0cX3/9K6ZZSktNK6BwSjqt1XqNrSr6w4FmscBUNd6LrYWbZ1QyvYxxT5NyG0/LedM0EVxqNEoapQwa8xibQVXW4aE0NtldZECVNU+ZpcoVhFyiG4YBp5TIvtOY532gdw6tKA74ShmMOeqtsoN+3/WEAM2yKkxm7iScZ2F0QnCEscdUM6vFkvPthrapiVEAu05Azzmf7D8mec6rGqcD0+xEw1bVcg9DgOhFkqJCIRa0Uig/4qY+LQx86tZPUhKZESCKBtam+VAl89MQpXxYKjuEVA48Vnq0zs4D33/7dACVTl+JiZKFQ+Lcykyi5XexIARQ+eIdXxqjOKWH4HFBaMLZB3wMUlcllZ4yAMgzU4RTUX+MYljWjRH7eMBUNwTvmOcRF2Y26wVmu2XZNmzPznnzSvHZ6ze8f3/Fh3fvub+/5/3VVzw+PpaW6YvtOWfrdaHXAUzy+MhAqqlr6gSs7OwwibnK4Ks4vCphdqTlX8BSCbUsJSJxDReQkq7hyRaCJ2pxypVimXTQRRQ6JoH8M9D0XKv1vCQIAm5UPAkuPu7gmDiTV1LPSoYZB4X4VAhfWCgCKrW8yq+SmDWDM2IBnCrK9TVaGEmrjqA033DpJpEnoYAfT4ouEM3E7DyHrmeYHY8HAVR3jwduHnbc3CcwdXvP1d0dd487mXjCMdT5+2y/Rk7Fr/t1/u8Qn//yh9X9f7/93Wz/17/6P3nx4iWbzQalFG/fvsU5V0p3bduyXq/5oz/6ozL5NU1TyjdnZ2dsNhuWyyVvv/maV28+Y71eo7Xm4eEe78VOAMSd2hpD3dSEGNkf9qIn8RFjYHZOPu1pUvYhYG2D946uG5gnhzHxxFBzVSaxPPlm24ezs01KiFjS9z3WWh4OXcrIWyd2bU9lFH4YYLmkaRqZkI0tuq0+sTYxim+UMYa2rtBVw+w96/UZznmub265fHGZypOWzWbD27dvn/g4DUPPMPTFiVy0Pg5PzWK5wqSFkl5axmFif+jFPTsq3n/4wO5xzzDOYuq5EiZw0VTYShijeezpDnsm54hZtByCAA4k1BfE7TuPic6LjYquKlyQhI7M0K+WS/qhZ54nFotl0dMd9nuC84VZygJpOJp95q8sXA8h8ObNGymFOjmOXNHIpT046nK11gSgXq3wyXMrA/0p2b0oBfjAMExlXsrMWc6T1MrStu0xzDsxU855nJNS2yJMxPEebeVaVpVl6A4cHmf85oxFShnJtht93ws4Mkb0z15yHh3SsBCV6LuCdyhtUNagjaZtFArJUB1TCL1SlGslUV95DoSuH3AuYBYLdIrRCcERo0Fnv8eokPwbkuP7xA9dCn8ygEpKYMmlXJO01KE4tzqfk6wRTRTyIqc0SpnMhRBjwEcpifngBUw5edidk26O2Uecj3gPPrX3xTKdPttixEcY58i+mzDmQEwsz8VWqPq42VJXDe1iyWZjMKZivVxx/3BHu4CHhwd2ux131zeMXc9+vS6aKpMeAGstTRpgp/TdWouqBgFatiqp8ZWtxME3+ZicAhl5CC3KxORjJb5cmhxwnIBPDn1M+rNsRSDnBqe83rFzLxSwmgX2CgFsiiNrJX8j7rWnj6OSJz6FIkNms54AKoUIZKN4Q0X9tCwXEXsIoyjidojFBkPKffIBBJ2YphMoKSRmCWYmRtCkhgZ5bkJOQo+R2Xvm2TM6z/7Q08+B24c9u67nw+0t33644vrmlg/X17y7vuHq9p5DN6da/fEZ+kG88d+ivPf77T/fNo4D//bf/Wua+uiUnlfx3377LSEELi4u2G633N3d8Ytf/II/+7M/4/z8nPv7ezabDcMw8O7dO87Pz9luztjv97x8+RKlxDbAe2GtjJVOYZ/a/+dJSh65hJTZie12Q7OoGUdpa++7nqZuePXqFVnT1TQt1tbsdnuursR4c7VaobUuICePMeJAPnJ4fGRK2pkYI5WGu/2eP/yDP2CeZ4ZBvLGmeUafRFc1bVvA1na7lUDlaZIOsgjd0HP54pLtdlv2nTMPu67j9vaWly9fAoppmrm+vubnP/85dV1hjGIaRwIaNw5M04hiwofkBxwDdV1h64bFouX91TXLsw2L5QprK3xUoA3TOOCmkfV6hXNN0Qhl4XyISUaQ7q8LwoStVit+9dVXLJZLbruOSmnGaRKBtDU0dcs0j7DIuXQyNuXGhFw+y+71uVqRgdYpY7Xf74tjOci4n3VTeR8ZfNm6Zo6RYRyT5cPRTDQv0q0xCRhNJcYmR9m8fPmazdkGa62UYlNTg/hspfFxGKjGPTbOqLbBOMc4T+x3D8JW9h1+7Lg4v8ToLcYYmqamaSrGyUlUnJYyngQTe2I0qGhp2oZp8AkwKerGEKKwls4FWVAqCW0unfMheUsmpmqaZgFS04wyUsaTeSIQgklzVyIg0IhNgCf6HzYWq09BX6GUipVSVIqkmTK0taGpKypjWFWPVCZiK7FKMEa6+4w2KK2JQaV6oHhLOI+g9zkwhsDkItPsGGfP5CKzi4wu4hxMTgBTDCo1D2RgdWykVyrQNJazdcv5dsXlxZrzsyUvNgtWy4aLzYbXly8kfX17znq5oqlrFI557Oj7noeHB25ubri9ueHu9o79fi+dGpWAo6Zpjl91Q91I27Spq6On1cnrlsvlk1VJ/jpluqyuC/VrdOpg0ebJQI9KXh9818PKPhF8nxhvRpcCkyllxRj9U4fzcXxClwrws7Kiy10oCcDlUl1+J5Si0abYLigtkQNKKbSx6cEXpjG3tRatFpGQtHKS8KewKGHxkoFnWbXFpOfSguIjElsUvCdMM7MLopPqB/b9yF+/u+buYceHm1tu73d8e3XF2/fvefvuHfcPjwxjor0jRwB1qvV6xiTlMmz6DBz1U/EZs5V2FU5+jie7/gQ+wr9xizH+EDT5O7mpZxkV/+P/8D/xR3/4x8X/5+rqirZti+nl4XBgvV4nZqji/v6eP/3TP+Xdu3eFvVkul3Rdx2p9xmq9pqoqHh4eUApub28S4Fnz/tt3NK1orIa+Z71c8bi7Q2vF69evi+/Rv//3/57tdsuibbCJ6Q6BIsbNGq67u3u6TiJxQggl0Pizzz7j7u6eoR/F1HEcQQVWy7a4rXddx/lmm9reFYfDnr7v0wJQVvyfffYZQ9dLI0+3ZxxHLi4uiKZCV+LX1Pd9WSxWtma/l+vVLlqmSQKG+77j6uqDdFNXhv1BOv+++OJzDvs9hsDd7RXv37+nadecn18yzhHbLvnv/vv/mZ/8wR8yTLOMQ9ETxh0vX15K917SaHnvpJEogZ1jh55odXxyhFZKMU8T33z9Nf/pP/0n/t//8B847PdUWot/XS59xMDL12+w6RORtXdA6fyLUToi27ZlkToEnXMlBzBH64jWacL5wDIZtGYwZqwVXbFS6TWeSCydhIeuo0r7mOeZw+GQFu6W/W7HdnPOj370Y5RSKczanGi/JrQ2nJ2dMR46fLfjsHtg6PfMQ8c0dITg8MHhkP79urbU1oi+brPFVjXdMPK4O9D1I9M44yO4XALNXYlai+FmvSQSIPZScVDSoR+DIziHnya8m0rDV0gLY20sKE0/BWzTUteLMs5jkqmuj+SutJwskMGoc47ru3uc999rDPuEGKokGI9A8HgXmWIgaKhVFOZkTsI0r4gaogEQDwt0IOLxKPlb7/EuMKGZXWCaPZMLzC4ye3BOWiNDLvURi94qy9MBAoYYNbNTjHNkmsEHjTIVylicjxz6npu727IqALCVZdnULNuKzWbD5cUFLy4uuT6/4Hp7zcP9vZQCU4DoNE3y5mniD94zzxPGVckLpJLyXDKZlEzDuqzgvisUVyhbQcwZgXJyx0KZFgf2xPCR2aNyE3gCAEQYH1JmUmK14jFAsqzewrFL4rRDRSmFVr7Q2LIiyIIl0XHpVKoMII66StL4MjMlx5bE2hn8pp+zlkhlhaGKxTw0dzaqdG3lFKUuH1Ryao8hhWbLtXfeMUwTh2HgYd/zsO95+/6K67sHPtzccXVzy/ura65ub7m739P3LuU1cgRTp9tvC3pONVO/g2DqH+v2b/7dv+bNm8+5uxUB+p/8yZ/w9u3bojnJTEMGO845Hh8f+eKLL+j7ni+++IKrq6vSDbhcLrC2SmHKunSwvXjxgv+fvTf5tSxLr/t+uznNbd59XTTZqIqdDBMG5YY2BcGSDU0MAQIsGDCgsf8lTT30zENPLFiUZMGWYdqmVCmy2BVZFLMyg5HRvOZ2p92NB9/e+96IzGpSIoUklScRGS8i3rvNueecvc5a61vreDjiEpgJ3rHdPrBar1ivl2y325R0vua73/0ui8VCwEKQhPK7u7uyQF9eXjKOE3Xd0HV9WeDbtuX66hrvokQneM8wjiit6bqB1XJRTPHWWoZpZOqH0s03jmPxQy3T9w6TgKjVaskwSmzAMAyYqpIA0WlitVoTQ/L59D1N07Ber7i4vS2G/9trmfSrKsP+sBfAGSNPbm9Tr+KCJze3KGtlGrBq8H7ik0/+BR9+/B2WiwX77T1Dt+P65oa2XZTohxBiCh+VU+9dtsihnRFpScmgz4TItre3t9zc3orE6R2VMhIZEAK2rpiDZC7ynmn83PfkvS/J+OdDSud5VaoAuRHfNGhjBJChmOO7UTzWGGxViWrjHNM4lkLqzEb1fc+oFKv1BZuNsIcl9T4xWfMs/qbKVhx3B+I8cTz2EvpZNyglCoGbR1TU6OBQRmMrS7IAp/iOwDROSTqV/eFmB8n/N8+zaCamwpmWGEDrCq0CEoiU1KUgRvSsLJx7cWVd8mgjH2BIPXN10zAMY0rp14TgRXZX0KjmdMOdB7++hrrwDQJUQBQzMERiEOOYNzBK1hpRJzO2jnglWUBK5R8SZsmFyOwDk5Md3HOFdxPjFARIecUcIrOTfMa8SCkg1+6p89eEBS3swOgC3TjTDRPD5IU6NBKffxyGlNYuMQbGakxs0SmBdtG0tI3ccWwuLtjvdrx9+5bHx0e6rmMaR2JCxMUjRcDFPK0WsDa1NSdA5dx85q8yGGPJkyAxVFJRozLpIXU1csBlw7pAkJgksNOHkYnSxJ4QTzsHXaQ/OWhTDUtw5aIaQ8CUu4QT+2T0icK3VSVSnNHJZPhu2KlFmt+DEQYrqEjhbdKbkuc6Z3ISqEzzCTGGFNoqQa8qJtCc2CwBULJ/fEieKaKU0k4Tx35ke+h4PHTc7w68fPWGV3cPvHpzx8tXIvUdup7JueJjOgc++TWd/iH/1XvsVfo6c3R/6emcfw+2cRz5P//5P+NX/9NfK6XEi8WCqqr45JNP+Pjjj7m9vaVtW7773e/yve99j/V6XXKWcvxCjBL+SYwFfFVVzXp9gTGaly9fMk4jq+WKzXrJz//cd3n9+jXee968fQ1EPvroI3a73TsBknJRENZjndodHh4eUxq25eJCIgXatmW5WLFcrum6TvKyEqsSkkHceahrWxoD5nkudobN5pJh6JMx3icrgyn9dlrLjWFd1wIO/Mzj4yNts6SuJJvp9evXpftwnmf0qLi7u+NqsymyVIie9WqFn2Z0Aqg2xd48eXJLCBFjKh62e6Zp5GF4w7/4/36Dn/vORzx5csvmyRNsAq99P3BqnRBrgPOuTIJBqisxpqSKuxRJoI3h9vaWummomwY35TgCsROoxJAHDKRpyyz3CVg+gaZcEXSejJ7Zquy1ylN5fXekXa7ErqA0Rkv/YVYiSiGyOhUo52m49XpN3/dnzH1gf9hzubk8Y2rEr7VYLIkB9ts9SimadkE/9LghlpJl5/3JFqLFR1VVIrMZrcUc7wOT8yl/Sq7l4zyltaySMmWloWnAk4iGALpFIen+0YuxvIRvKk1UYhMST7EoHCGE4nsL3kEUL97h2Engd5R4IGJOUj+pOMBfPECVwRTxlFEUIjLRp2BysvhHA16YOoIGo0UeEaJDtFQfSR4pcEEx+h6fANbkYfIKFwXdnupM8sJ2YqbKLlQGksl5mjyH45GmNqyWLZNbY5NUFGJgnib6oacbOg5dy0JHrIIqeaAydbpsW26Sl2K32/H48MD2cVsmw2IIzNOMxWAwOGYBAl6AFelO0Odyy/R1VVWoOhKNSlToLMGlWmU0SkwAVCXgg1ZiIA9iaBe/vyD6fByFxOBJ555KRcIhJY+ftHof8usLmOIhyhEFp5NapXqM82kUo0+9V1pl+jGBNqXxCKhyRLRV8noTyNPh7BgqKmW6Q3FygkUf04SfmEtREJUiamHEXIy4KJ67aZKi492x42F34GF35O3Dni/e3PHFmztevbnn1es79sdOLpLpv/PpxZ/puD87UctL/5Zx+kuzvX7zit/9ve/zCz//Szjn2G631HXN7e0tFxcXVJVcE47HI8uldN3l3r+3b9+Wm6u+73nx4gUXmw03t09omiYt0sIsESPbh3umvmO33XJ1dclms+GD5x9yf/9WzN8plds5x9OnT/nggw948eLFGdNhuLjYFFZEa53yslouL6948eIFtqpokgz18PDAPM9cXKyFYUt3/9nL07aSQC6p5ldYK4BrGEe6ruP586cc9odCL3ddV66Nz588xUdTZKa+7xJDJ6GP4zDiZ6lwyZUr6/WSpqq5uLgAIre3t+wPOyLHorNfAAAgAElEQVSR/XFg2VS8ePkjbN2yXF7QUPH5H/8eyvVoFUWGq2u645F2saCqbAFPeQIYTo0QVVUJy0jA+Yg1RoaJUgr8L/zCLyR/WkO324LRVFVb9lGMEa9PPX9Z5j0P8cyG8b7vqVKMRs7zen+yWxuN9zP9MFE3raxsiTnLlpH8uVprWS6X0kmr1DssZbaMNG1TniME8F5A3m57YBhmPnj+jLYRxisE6dabhgPT5Bick5t+g9xcA1WzQEUnBvLZMzkvN7GR1IM6JU+UY7HUzKnw1c4OAbWKqPKNcAV+FnYrASm0ScQD6Sb/FBsh41ZapvSniboVz2C7WDBOAa1DAbKZAPhq1eenb98IQAUUuS8GYQuUpjBDfgJvIrXVRANBZ5lGJbkOooqpoy+xDQHRRt0oLIaHMKedHU9MQizIQbTwYlQumspEnioMPjBEoZ/7vqcfeqxuaKpFuTuJxFSYOxJcfeqNS3cKtbUs06TK5mJDdzzyeHXN/f09j4+P7Hd7hpxhQpLdfCAgxr1s0jFK4xINbCtB9aHx5XVrIxKaVB9pgkqZTyGgTCQag44xMYKS7xRSxU1Mfqp4Jv9B9kolMBoyoArlAI7pTiERhkLZapEV892VMRaVXrfWGqNN6R97xzAfNSH6Elsgn3Hu2jsljWuVLPUhor18bl6PwmqFmKO0xGcXFTrqkwxpJPXcIzVEs3dM3jHNI904sD8e2O73PO46Hnd77h+3vH57z/3Djn3XSyWGskhSdarM+TecsHsXWn15+xZn/cXcfvT5n9A0Dbe3t3zwwQeFwVFKzMgfffQR+/2ep0+fllH0HKuwXq+Ld2axWDAOA/v9Du9XtG3LF198IedAjCwT+5UjBV6/lgqUEDzri3Uxdt/c3PDs2TN+//d/P8Ur1IRwWpzzTQ0oVss1RMX9/b3U4Mwzi7MA4dVKpvkuLi6SJ7Tn8vKyyJVaa1Yr8XVVlQR47nY7Zuc4HDqquiqAahgH8dT0E8vlCh1O4OVXfuWv8erVS7FGjCPTNKRiZWHElosF3eEgZv0UcrzbbRmGHjeJmXu7P+C9o1GRy4s1n794iTYVf/Kvf0jT1ETg5uaWxWpFzuaT/tWYZFeNc9M70ptsp0osayQ/yVYVT58+5Zd+8Rf5w9/9PgR3dv2T3733TBGmECB5hvJxkaXWDLbyDWsG3rmqKFtFVJ4vItI20gF4Htqc5cT0cgHKzfs8z8zO4UOOmJDJu3EcaeuW1XKdCo814+joe6lXCjGy3e+oKktAYiH6xKrOIWCNxDoE76mbhoBiGkamSUJWSR7WYRyZZrn2VlWFj4FuGgkRtM5RBiaxTabIrxELJPCpFM5LCrocyyfrifdB1pyYhIvoGcdBemyUwViFG03ZX1kqPJf6vs6N8jcHUCWpLff4pQYBlBYOSSOykEpmNJ0W1txDhMpdfmCSFOVnTwXMIaJCJChhsBIjSElKKnP85y8o//k8uiESPRwPE3fVgedPrqitZbUArS3GKNByQrh0N5gvCiB0p0mMjNaatm5o0yjwcrlkc7Hh8eGBx8dHjscjIcqJFoNEPkBARZmym5RCJzAyT4aqmoleGsRVBG01qsq+IjAxiIFfm5RAXqGw8v5S4aQ6mciQXI70nuO7vwgyHZGN6JnSlqJm8WkZk4zyWqPzxcRadGpglwu3LqF/+SKdc6gkF0yoWI9ERAQEVEHBuOmzyWBO9HshLAPROXmtSuS81PBEjGB0jVEWkLJsHySobnYT/dhz7I487nc87vZs9z3b/UFA1cOW/bHHZyNjjqGIMbFU327fbu9u//rTH/LzP/cLZZjk448/LjJPniDLgZXTJHUwSin2e6n6ePLkSSlV3j0+Mo7SZVcbQz9KVlAGQsJExDLyvtls6Poj+/2ev/7X/zqvX7/md3/3d9nv9yLpNQtqKwBhGAZ2u53EJNia43RkuWp58uQJc6rMyezJ8+fPSlFv9oNdbK4IfkQpMcNns3Xla5bAq1evygTZPM9YKwnhhEjVLKiWtqR0S5SETTlcB5SS4Mvb29sESBwKxTLFD0jVTkVVyWNcX11RWStG/WGgHyUyZxgGXn3+OavVhRQ9H/f8zve/z48++5z/5D/7VZ49f16ynDKTdLItqGKHyNcqWY/yzZ7CJA9QZQ0/9+Ez3rzYcLSmfM4ZUAlYklww5z1jiqOI8ZT/lNPSx3EsbFHOoVqtVsJUEbFWPpNxHJO0NTMMp9iF/Dnk0MpDdyzDTZJJdjxjowJd16UAT01lai4f91xd3bJYLNOAxWsWi5bN5ZplvcQYuH985LB/JEYP0bNYNMxeIjlcFDDVHXuC95gqdRUGj/Oi/jRNSwCmeSpAMATPHCNGWwFUMWBlRBuQoTStAu4snkIIk3MSIIMrjUZAXFUt0boiOEdVWcZRvROXlNe0v9gMFbI01RaaGprKSAFyMttV1lBZnaIVpM9PE6msOfPO6ASqorBU04SbZsbZczQOoxwQUU5kWZFmQ8po50z5Uyck8t4KmfX0oR85HEZhnJrAooJFXVEbm0Z0HXOYccGlBnJhT7JObYxMseWLYFs3XKzWXKzXXFxcsNvtOOzuGYahTH7oZDAnBmlF15pgZNIx+EoM14g0aFotaejIvpKYfSuDkDGiraakWPoELIMcqEopohGZTd7zKTCTmKZdgj+9p7SPdNKsK6OwKmWCGINJzJROLJ4YVE86dT4RpBhZLlzyilWRgE9FxgKI8r1DkYozI5W7/LzIfAJmE/OWaUml8DoQSPq7MrigGKZINzq6KbDdj2z3Pbv9kcftgbcPWx4ed3SdGDAzkIrxZHYsB/K327fb2eac4199/3v8jV/7m1xeXnI8Hkvw5jRNxb+S2ey8iOZ+t2ma6LqOGCXJeeiOzMPAerUsTMY0TVxdXZWJLWM0dZ2Ai6kwxvLZZ5/RdV2aFBSGDCJ3d3c8efKEy8tLrK2xRoAMSnH75AmkSa98XZKxdrEdLBYLxnFM/h9JxP6TP/mU58+fUVUVDw8PUr0ySmvAcrksXYar1ZIYJyYfqEJk7A/c3NyUicFp7FksWmGlxrFU6lxdXbLf7Yhe0sbHaSxsi7WGZbtgtVxyebXh888/L4DBVi2+H1AWAkds0xC9o+8ObHc7drsdv/pf/JoA0asrFotFMVFn1iJGJYXJ2TOlNUpJzhdIePCyMnR+5pNPPim9hueRCCC9gcZIeGoMgceHB5kMT+vDNE1n5ni5/mYgmr104oMNbDabAtKmaUInsBJjmqb2ninJlOJvkyqiDNwzgNW5ncOcAexxy9A5Doee6+srhmFkt3vk+uYKlHh5Hx/vedg9Mg49lU0BPYPEZWirJRbBOWafAKrzoAKzk5v82hi0rXHeUwXP5Fyxm6hEfKgo+ZMhBoS3iIyTxypfmKlQ9lX6WSDH/YDCAdMMjRePr1IK73wC7R1oqbTLgCrfPHyd7RsDqGoLy9aybCyLyrBoZaSzTeWf1mgqq6iMxmphQDSRtq5k52uJBPAoQohiyJsGxnHk0I/sjiPWjCg1QR8Ysi+zLLbvsVSRsti/v0mH0cB+t6OtFMOiZm4tcVGl6TtDVWmw4HVgCjODkymIytSQputMpdNdjaGpJN5/sVhIivLmguN+zf6w53A4lHHZjJjFaJenRYS1mjOc9J7KRWJdQ/Co6Kljg6pkP2mVAr1i0thT3lfRXZVCBXPaFckIH3NmV6kpoPRZZb6PKI3gNtXq2MqiTZUm+NL7NRaSQRJE5o1KAFRUSS+PSTxLzGP5eLJcB0kaDCfAF9LESIwEn36FRNmlv1daY4wVqS9EXPD44BlnR9f3HPqe/dDzuOvY7Uf23cx23/HmzT2P2y39KLk2sfimQnaJ/Xh+Kp5wlkiaX8Zd8n6+NaT/Zd1ev37FH/zh7/H8+XORTELg4eGBppFMqMPhUFipx8dHvvOd7xQze17chmHg6dOnAsCQGq7srdlsLnj58mXKBzJlOi8v/B88/5B+6Hh8fCyLek5y3+33PDw88Eu/+B9w2He46NhcXnLz5Ak/+tGP2Gw2gORsZc8kiJlZPE49j4/3XFxcSL5eXZeaHfE3rWkWC66USo8nVTrtYsnddsc4TrjdPuVtqSKLei9ZdjlCQCkI3tEdDmhgTGxWXkFDCARHmYK7u7sTAFHXRC9ep0EJ8z32ndgyQqRtKuq6YRwG3r55Tdu2oCQGoV0sMEYX4AHmnWmyskVZ9OM08OkP/4jf+I3fYL/fF9B5zmiN48ByuSh5XNM8Uy1a8KFkSeVpwvMty7IhBnIjSGaULi4u3gl9riox5Mu1UHzGpm3Z7XYsl0u00tzf35dojhBS8XCxYmiuLy/RKPp+5HDY8+TJLePYM7uJh4cHvJ/xfmKeR9YXFzg/p2url/T7qBgnOVaCR0DTrBjnHpRCK4uxNca2MhSlpjTJDi5NjOWqMInQkXgekWNlQGsOARWceLzKYA8QVQJisk45bfCxAgJddyACxtgymS/5akMCqSf/VQjnU08/fftGACoFNLVm1dasFjXrRcvFasFyueCiFn9QZTRGi9xnjaIyQrVam3w41oI2wmpECQNVU8/x2LPrOpbNQFOPaHMghp7QBaak9qkY8LHU4J69qhNFdR5aGSLMs4y1dgtL39dMy5oQFjK1YisqIzRllimLsVFpoohiguBrQ1V5vJ+wHmzV0jSay1XLuFklmemBw2HPOE7ljoXsNzrbgvPMcQLn6ayjnhuCF3N6cI6m9YmelvRvpYMAnWggxfqX9+hz06Hsg+yZUhSFUO5EUmgoyUweFVTalOlDozODmDKwtE7Soyr7MqaDOJvnvcsgKhu9s74X0wTHe343KI31IlWG4unKWQaF5YqmSHyz98wuMrlAP4wcu47d8cjD8cjjds/D9sD945a39488bHeSthtObFRyq+HPjhjev9B+Tcr4ncd+/3BMf1/sfd/qi3+htj/4we9xc33LX/uV/7gw0yB+lgw8QEpwD4dDYa82mw2bzYbLy8vCIDjn2B8OKIT1+cEP/pC+71mtpEpGfER7rNWsVivGceTh8YHlsi3m3xBC6Rm8WF/y5s0bAXmLBcs0Vp+zsrbbx8JKnUshVWVp25rr62tCELZku3tkdg6jpXJnt9txfX2NMprr62ustdzcXBG1YbOR5726ukqvefeO4fpw2KO1oW0XbLePuGlkuVieBmaCBDgP/SCT0EuJX3j9+g2LZcs8TRgkj66fZ7S1GKMZ9nsurq4wThZOHyOjd1xtNhitmcaRdcp2yqx9ZhHltcU0kJIKrseRxlp++w9/wCeffFIkVwGbjxwOh1MxtZsZR2G4p2kkErC1xaCxShc/T5YcjTFl6tNYgzG6GOMz+MyScN5vVSU36rl30HuPThKwSV4vrTXOn8qYMzM2TxOEiNVGpOW6IwTF4+M9sxvFl7feYIzixZ9+VqI4VqtVUilEbXDJimG1pqobvPMoHdGxwbkJXdWgajLbLxaWiioqAafpmi55VLIvpBw63cxGiUjKNTIx5EidvC7I1LaOCrSF6Knrhgg4NyW1yTNOE1GpEpERooTn5gT+r7N9MwCVgra2LNuazWrJerXgcr1ivWy5WVQCqKyhMhqtgnxAVsufdZTEVm2JOqVdpym/MFnayibWqMHWkyThzpHBdcyjGKgld124htMapd57jWncNU2vxQjzNDKOk5jtxhHvRNfX2qQEdJG4srwlP5cAAbGwTFKlotBGUWtDbRt0pQm14qoxPFlUPO4WbHd7Dl1HP07ihdKp/DEbogsY8sxhEI9TdHgvgCo4h59n5rrGVrXIcFmO0zqBPXl1QYMq9dGyf/LO0YllkTsumaAopcNaY/W7lQk57Vwm/HSCSAq0wSqRaFUIZYpRWKr8EeSMdwoLld1LRQRMJ1AkJh034cOMSuIJoDgfCD7iIoyzY5wdw+w59j2Hw5GHQ8d2f+D+cc/d447Xbx959eaOu4ctY2qCPx0f7x4jMk3y7vaTg3O/5aP+fdt+81/+v/zVX/qrVFVdPDJdJwW/wyDZTZeXl2y32+JZyjEGOUX9vFj3Yr0ui+ThcODx8SFdp2TCLvtkYoxcrC/Y7baygKdF9vr6OnkdI1VdcX17m/rcFIvFguPxyG63lWLjxaIs2OIzUiyXwuDkZPiHx3uqyrLdPnKRAGKeMAwx0rQNRJh9KIbxvCBnK8T5pOEwDHJtipE5SV3CuqnCIngnktL19XXyGyUmxwda25SvszeqaRqO+z3zOLK5vGKO0A8Dfh7YPj7w0UcflYyopq5TBdaJNXJJktJaqlfiNHP/9g2/+Zu/Sd/3RZLLICjnPMk1X0p5tdYMY48PwvbnBdwPE4TAcrks5vQMkCXaJhZzewbl+XvgZEAXRi0mudekOp2pFNMPw0DbNIxTZt7SDXqKdshM2Xa7LZ952y7RukbhUSpwOOzo+w7vXYpGECZxnCaJUIiUFHZilMoYWxHjgtkHCJpSHZvK4FEKZS2Jp5PnjqeS6MJUIfffIYE3jy8+2hg53XijcFFhbVpDgmexXIkxJAVA5/0h0RSWKpEBJ1byZ9++EYAKkF6qumLRNlyslmwuVlytFtwuaxlHrSuppUFKEq3RWIVMdRhpLc8eKh/lrmGaxQitlEbbiahH+tmzOg4ch4ludGfL4vnidh6lAMWpzWkgUCuYJyfN3/0ggMpnHd2Ui4O1KaFc6QQAEouS8pxQmfXJ7JUC7anRkuFhG6ypqW3NoqrYVVbSh4eBoAJYC9rifBCwkAz4QvV6/DwzRWGYvBfTdT01UrpcVdhKAKs1VTGIC2OkAC+vW6XhAKVLmrdKwFCGBWTmQjxTyXRvTuZ7cq5HZqcAUphoyBLf2e7PtTByd5D2TzLje++x6W5RZylPZkFRKp9E4hPLkmBIPxuQ8k2HYnKBbpoYJkc/zRyOHYeu5+2uZ3fYc/+44+3Djrf3W9487Hk8dPh0wn+ZPkqv+yu44S9Le2d637l5EkVJlv12+0u7zfPEP/nff53/7u/99zKGntibHFNgrUxp+cQOZZN2ZpRymrlIYFIgnH9us9mwWq1YLhfiwTwcuLy8JEaZ4BIvESyWS7RWJSxzmiYJ9KyakpV1PB5pmpqbGwEp9/f3BZgJKzKhNYVlOxwPHI97GXtfSGfhbrfn6vKScRzZ7/fFziD+H1UM09fX1+V9ZiAFp7ykvu/ZH/a0SSLr+04WUe/ZbDYpKf3kCxpHiVPQStGuGnSygVgrpvUcUUCM9N2RcXZcXF2zWq7EmzMOtItluS6LzBZxbi4+KAnUdMzdxB/94A/5X//h/1I+l2y8z/EGdV2zXLbc398nJnLFNA9Fjs3DCJCGifyJESvgzSRm5lxFyJlinGSqPOGXuyKNgWGU/kDnHC6ehqTmeS4+o3mekwoR3wkbzf64k4nd4JzCzRPWaOrK0jR1+vw0k/MyPWdUIjq0eJyip6krIpFuHFms14Qps0qBpOClOCMZ4NJGo7XFz45kg8Ipn9agUN6z9w4XXDK05jaPdC1N+3FOmY3EkAicNtUiaSprmJ1mmgZCkOqmnNv4FzLYUwGV0dRWU1dSmNk2NctWwNSibWibCqvFN6VVxGqwSmFtnhQTziKP2ftoQEWapqZtPWNQ1FMoNS9102KPB8mtALIr5nw9E2+V/GtILeBJbQLSATeMKUZhIUF8Zwyh1omdSheI8I5BiyLb5RM3Ri0eKKUlWM4alLYonVkkgzaWum4Z37ySWoSYQaVCBzFn69lKhzQBgvQR+RyJcHbA2UyThki0QWphtBJ/E1l2iyffT8oFU8nro9PrNjpVARmF0gbS9KHREnxKAlLlc1JJzlOqGA2ltDqUiITEk6U7juST8o44TcQ0AhrTHVX0Hh8cBLCpg08nBs0FqY8YncNFzzBOckc6zRz6gcMw0w0j+2PH8Xjk1X5KnpJH3j5suXvY8rA70PUzZx/a6UN+h4H6chbVTzwVzx8mv+sCtt79tvI035Jaf+G3P335gv/7//m/+K//1t9Ga82LFy+4ubkpICp7paZp4nA4cHFxwRdffEEIgY8//rgEZGav1H63S1UvmRUWc3hOX1+v1yyXq2RWNxBPXW739/c8ffqc3XZHtBHnJsZx5OnTp8QYyoJ6fX3Np59+ymazSXKJwVrDp59+ytOnT9D6NJWWC59tZTkcj8Lcq9NzZn9U27bc3NzgnOPy8pLD4VAm3HKR8mIhxm0ZOlJ47wjBC7gLgb47stlccDzOLJdLbm5uuLu7Y7/doZVimmd8kjitrWgaMbybupHrltaMwROco25bPv3XP+TZs+dsLjZoJd2FGezESLlRfv3FK+5evuLt27f81m/9NouFsHF52nC5XCYJbeTVq5fc3NwU+Uq8RnKNzJ/T27dvU0aUoRtH4iDsljaKupJpvgzm8nTo+QRilgez7Jcn+xYLw7KtmNLwQlPVuODL85daoHESBqltxdeVQH2uqoFszpcQ1bqyeB9oEyBXZSoSlNJUbSO+ppQLpZWsC+Msw1Ty+gOVqSRgGy8O4JD8wTYpGrLwiM82DWX5M5+sSLBJoQnCZhHBJOWDGFDaEn3AE6jbmhgDxmhMMLhplnw1cgRFmtJ3/pQg8DW2bwagUslkniISREbi5M3RBqlHiaeFJ6Zkay9yESkLJI+3BsSY7qN8ADn08xSZEEoU/mnxSqXL5TneXRxLftFJtWOePX0/cDz09Meevp9S/H9NyckKKqX5yghnLmdMpFR+6aLHJ8oyZBZEaUnwVSqZtjXG1tzv90zdkdlLhIEyWszfCnAxMV86rf8RpT1azxgTMDqgoif6Cu8CWkkGFYAKSszrUfaDZCslsscL4LSZUtYydWm1ErCrFVGurDLSmvxT5x6qfMeQ4w/ks4n4KNEQ+UTJMqYP0j7unUiXbh4IShO0ALlc0+PdnIz1lfw5pITfdPGZ54kpeIZpZvSOQz/xeDiyPfYcjj2Puz3745G3XWS33fP2/p6H7Y7d/sihH5O53XAyM8XTwVsy5Tn9u3zTuwAdvvTnH39SnD/K2Q++D7R+0mN8u31jt+998i94/uw5v/wf/kdcXV2VbrbcxZaloo8++ohpkgTp169ff2kyMMZIn+SbLBv2vWK9ljyq1WpF0zT8wR/8gPV6VdiI2aXrrLL0XV/kNQmXDByPh/J3WUYSI3XF4bArxvppHtntt1xeXpYoiM8++6yke4ux+iSfZNbGWsvd3R1Pnz4twzbnXqBs5t7v9wCF+RnniZvLS5bLZQIhhmkS87bWmrdv3woQaBuCjwUcaBRtVTHPIrFVdY1RclNsjeHh7Rtunj2HGPjjP/oBt0+f0h0OUn8TJf/KJxnwj37/9/njH/wR+70MDDWNeG+c8ymvaWS73XJzc01dyzTniUEaeXycePLkyTtVZYtFC0gqft/39POIn2dqffLx5DqU/OdzMJWZvQym5nlms9lIsGjX0Q8T0yweNxc87WJRphcVilXyi3VdVyTazM6sVqsyZRojOBcYug5b1QA0dY02NgElj9Ia72VtnqcZW4mMFtQJ9LsEsmfvZGFWCmUMNlYJcAe0ialyJk0rBi8LZhTjugC2kIamosiHMaK9lCjHdIPrg7BmSp/qeEKQCcVxmnFe2NF8jOXpvzFGqa35Gts3AlCBgBfvHPMsprhpGpnnitFqjJ2l3y0hGUPAlIUseZPSY+R1bo6efpo5DjLldxhm+mlkcDMuB1HqYr8pj3H66ismOSj4oJiDJdV8YhwHhmFi6AfGYSLGlUTah9N0xjzPmDTdFoJHJxP26fFOk3QoYWGMEh+T0fZMEjS0qxWDm+mGgbEfJYm3rrBNjVYhTU2EM6tP9nCBd55olBggw0xwAnCM1hhVM/hRWrYTm6VJAElpNFGiLJQud3hWqzLKGhLDVYyrWkCg0idmKiSTeDaS+8RMhZipa7koeCdAaJ4n3JjLL6cUnaHS9McpToEAvesTDZyo5BiYnWNyM6OX0eV+mDh2PV3XczxKvtTd4479YeCxh4eHLXcPD+wOHcMwpfJMKIJ/hNKFm46RrwY373usznxfvA+3fnZmS519kb8OP7Z/+FvI9U3d/sk//XU+/PBjLtYXJV/IGMOzZ8+KUT17ipqm4dmzZ2Xyb71eSxp5+pmu71kneazrOoZhYLO5KL6fq6srQK47TdMkOWcAVJGcvPesVisWi5a6rhjHKZmXpc5qtxt49epVCpes+dOXLwoQ3O/35bkOh1P8QfCBeQwlnTszVNnAPgwDq9VKQkqhTMQZY3h8fHwHiIUQuNhcEpEU8ZubG3LCt9aai4sNb9++4Xg88su//Mt8/tlnTOOE8w6tRFL1uSPVaMbZUWlNXVUYbVg0Nceu4/WrL/jsT/6Yjz/+mHkc6MaJKb2v3/rev2T3uEUrU0p8c9ee1pppluvPcrlgmsZSxzXPE0pTKncy69P33TuS7jAMqAjzNCebhi/r0Hnwap4YzKxUZisze5UzrbL/SithH8+zzkiMYskLS7EKIQSur685Ho8A5fPIk6MhBJpacheD0HYYbWRox0dMmnEKPhRptaoV0+TL55jf1ziN1LZOkqxE64T0nJGkamSPTTBp8McQ4wRoiDrZU1Iwp0JCvn0UUKUk4NtUEmILMM0zAUVV1+K3Q2PsKRnfe/l8lOfdSrafYftmAKoI3s34yTKNA+NQMVSWY0Lek/NU1iZAJWDKGi1TZyrJfCGUBZoIU5wZpol+mDgMI8d+ZteN7A4d3TDSTw4XBByfEU6c+6W+aiv4JCWxxygHzvHYs93uOFxfMV5eME2zhIsGj/Y6UYkO5yS93PvEwamEziEBplzSnDK1lMZqida3QBMVXmnaxQo7DMxdz/54ZA6OpmlZLhe0oUqAJpnedcREJXdY1mFNjTERMMToCAGcj0yTQ6uRfdwnA59EMqgIja1YtkvatsVqI12FRsZrs+yngaDOwJTK++zkVMu7OAl64m0Kuc4mf3Rqsy0AACAASURBVGcguJmx7xiGjqHrGPueeRrR+MSGgUmAU+hrOR785OQ4CIGYQLELgdlLgaZznnkacfOIdyNunui7I4fdloddx93esT909F2HSxcXtEJrCUw8p4skJetco/vJJ9+XtXj1Y77+Mtj66YrfVwGns+DRd15n/Iqvv93+XW+zm/lH//gf8nf/zn/LZrORYzWFVOYJJ601V1dS/ZJ9LM+ePcMm79RyuSxgaRikZHi73TIMA8fjEe8d3/nOd1JX3wOr1bKAADHi1sXcnI3Nl5eXrFYrpukBrRVddyzsyGq1QhvF/cNd8exst9sCKPq+5/r6WvxZdYtRNUaHAmhWq1VKcJdiZxB5DwRsPDw8SGwBEutwOBxK350xhv1+TzdO/MJ3n3F/fy/erOWyLPh13bBeX/DDH/5QJChIdgnFNM347J8iFqZcJ0CD91xvNhyHgR/+4Q/44MOPePb8Q5SxfPrpj/jke7/JPM1UKeImg5Z+6IkhsFwtkzwoNoNhEOZsniemeUwBk2K3zuCoqmzpbByGQYCI8yX6IXcKvl+JkrcMTnJ2Vzbd933Pfr8vHYnDMLBsa2FiUnaYSYMJpziHseSK5dyraZoKiMrBok3TSAq6G9LktxLw6DxKGbGvpGPMGhjHjnmW1PcM6DKbuV6vRdHxCHiKqS6mJKRnIkAl4HaaAHR6JoqrWvZPHhjTpCq1tJrEIB7tqgJt6KeRaXYsAFPXpVZHnicm25DUregvjRn95O2bAaiQQsUxBKoA/ezQ/YjRctGZpjpNCsgIl02LaAi+mJplEY2lpNarkfmcoepndseRh33Hrh85Do7Zl6Gw99gp+GkLTYxScePngNMyReJmCfwcxoFhnHDeM+fMJg0Riw+O2YkPrMZiVJUOHIpxW7rsbPJcKXxiH6K2aBuxVaBqFthmAXbPMDv2xwPadCyOCxa6EVNgAh7aCPhQSSaTtnCLtTM6pdDGkKP3FY/TI1aL2b+tKhZNi10K7arTxTcnnyujCQpcOpFCiraIZxMUp/2ZaNjkk4qc1wCJKVsRCMHhpoH+uOew23LY7+mOR+axxypPZU0CdVl2NCkt+BRAmvV2lEwMeiRKw3vpINLRYVTAqkClobbCsqngwDuMgtqaRE8LWFdGlSob+UJAVWan/myhyftgK8P9H/MsX0mRnb+q7HpT7/2STaezIL7zPN+CrT/v7cWLz2XhSYtzXuCyIb3ve+7u7uj7nuPxyK/8yq8IqEis1eFwKPLa/f29SB9JpsnFutmfkyXA+/u7AoKAYpxerVaFPem6jr7vCoOyWCzSc1lW62Uxjp+Hj7Yp52i1WhO9ojsMVFWF1oq6qVIq9Uhd1wns+QKEMhsHArBub285Ho/l6ww2jTE0FxfcPTzinZNrVOoXnKaJxWJR1oaPP/6Yw36Pm8V3deSYTNIBnYrabVXhkqTZHQ/4CMM0YWrHH/zu9xnGiRcvXvA7v/N9NpvL4qnK5nyVwiCX63UCLiPr9bJIcNM8yjRf8iPd3Nzw6tUXMmXXNokJlCnxxtQEPLMKxWfmvIeS+6cKoMq/8ueQPVRt25YMsBxDcTwey+fUD4NIfilr6xyc5cdsmobtdlse41xOfKeSRVm0dmhliArqqkKbiml2SBm1AKG8z/JjtG1bGNF8zLswY6KR66zOGYVn16ls5YmKSlcC0rUlImX2xBT9nAgVqa6VGjUFGFthU2SCTQqG8w5rTJmmRKmk7JC+ljXw6/hWvzGASlgSCV/rXCSME8qMDN5S+4raGJncCpIrYbSWqSusAJsEpnyQhTzEI7Pz9KNM8x2GmX03sR96Dr3HRUoVTVk2zqQx4MeuJ/nb5FiPeJM+oNlzPHZ0fS+joylBW2V/Ebm1PDCRDO8RGhXR1qJT4KeOFo09O5xktVRRoUzE1A31asVinliPo5ir+4FuGBiGmV0wWKMkLsJqrNHFo5ZPQmskK0orQwyii7vZ44KjCwNV6hy8vLigsU26m2qwti4GeTGZ59+T1GeFZfM6SEmzMigtk3jZnVaW6vO1PpK0axkJPxx2PDw+sL27Y/f4wPGwZx57Ki2djlUloM4aeX9iqI9pXwtrptPdp04ToCoqDB6rA3UFbdAsW8t6WTPPC2an8MFgFdRWM7rA5CKzD6maJmeehGSSlBFjkS9PYPHPd/vy2R2JXz2YyvnBLZzgVwMqlf6v3pEky8N8C7T+XLff+/3f4T//1V+TibUEpHKQ56tXr+i6LqWYi++oaZriMTLGlEXz6dOnvHz5kv1uV7r9ctSL95IifjiIJ+l8WixLdJl1CSHw+vXrAmAuLi543D7StFUxaA/DUAqN1+s1T5484eXLlxht8HPEzT5JODKoIgBkTt4sxeXlJXAK4cyZTfm9Ze/W8+fPy0IMJ1P4sRtw08zlxQqtNW/evEmsmlhGQoAXL15IWHLbcjwcAJjcjNWGcZyJUawFdV2jtClAqUrKyP39HW8efoPtdi8MeFr868RqrFLvX46YmOeJy8sL1us1VWV5eHhbpL+cS/XmzRvGcUxsjci5fnY0RrxlAQGUIYRUnN0RQ6Bp6gKe8ucHFOYOKP6rHISawXHbtgUYjXOHtiJ95fiF7O/KYMk5V0JH883zueE9y4KSbQVNJWuZ1YY5TUKKX+n0+Of9h33fv2ODkdysCm0UMabp72RCB9KEXxr4UUkX0BatI96PiD2Hd2eFghTe+xBFTamsyH/5G7UmKo3znmEUuV0bg1W27N/stXLO87Nu3whAFYHZRcY5UE0ObWYUgU5FvJM3NBqFTgtYvqD7EJmjJUYtwZxZT40BP29xIUrWkIv0kzRch6jAKHQl5jXl3gdUZy/qJ2wpEoSUsYlWlhCh7wcOhwOHw5F+GKVAVKuEdMUfFHWFRCf4VH9i5XFMuuMIuiBrYmLQUjo32mIrTd0sWK4dVxGmEBmcZ358wI1OktOTzDXNGvsOqEoXJW1QyqNIyfLOM08OHz1eR3KDYmUbFu2K1WrDcrESA6K2SdvOVTUSk1Am+pQCo1GYkogeQSYNkx6uPOACFeKtmj0475jHgbE7ctjv2T48cH/3hof7Ow7bR+ZxoLFgjaK2JmW3VFQprC9WMr1R2xqTWSxjsOmio5TFKEVtIyK3SnIuYSV1OXbJoul4bCv2x4F+cvTjzOgCPkI/iEG+/AqnKck5IlLtWZfUuc8h/yqH2tcYxf2Zt69SEL9EuKbzJ74PnORuTn70BLROKfBfBeTk/4Gf/YLz7fbl7f/45/+Mv/JXvsNqtWKeZ3a7XQFKn332GdfX14XV2W63tK3EEuRjKks9h1QQjFKMqTS4qioWi5bt9hEQ07a1tjBAIMGgQClWzj6XbPJWCg6HXRnF3263NE3DRx99xP39fQEJbvY8f/phSrE+jfp7f6pvcc4TgiuM1na75eLiQuq32jaBiGMBOjnpPHt6hD0b8F4CeY0V38/NzQ2bzYbD4cDbt2+pqorN5oJpGtnudmUayRhTrCEhiLcp70ebrBeLpmE/jExBFAY5sRXzPBZTuPcB52TyN/vVuu7IarUqHX0hBNzoSnr8j370I5QS/5cMD/SslyvwsZxBwzAUY3T21S2WS/K0eb6mnPuk8sTfcrk8288uxTUsS+L67ByV0cUFkG+u8/RgHhbI16k8SZqDRvP35ecAmJwjJGM/yOdt7IlJyyAwRzDk93YeSpqjN7I/TOk8b6/KnFiMoEIyMCuIasZYha1qpkHKlGVpydfbtEM1aZCrAq3xs5Qz+xCSVUUX6TN3H+Z9MUwT+1Rb9LNu3wxAFWF0ETU5tHYEZkKQ7InJBZpZpsl0klcMySymNC56fAy4VHwYopLJvtgAAa80QXnxwRhB9DWGoAJBpcUgnEpzv8KhXjZ1+jwzKyhgSgtjYrTGu8ixO7LfH+i6I8PFkkXboPSJm3HRgZeiYzF65zsPK4xOkpICYr5WKUY/p4qHEFksV9JN5APrzcRmSOZJNaGCInq5cHkl4IHkyapNhU5Sls2xDqJHiqHRe6KKtE3D5uKC6+sbNpsrlos1VdVijJWJS3TyPOVKGYtK3qrMVmUTeq5GzHugLNdKFRDC7HAJTHXHPY+Pd7x5/ZI3b15x2O+Z+g4/jUwEDBFrNW1T06RojaqqsGuD0hUxykhujJ4YjPT6YdBWKjIrDapKIJcaTaS2CqsdjTUsKknt33cjh26gnwIuQGWk4iB7HELwhNRsPvkc0SAnq0yfqHLg+Jzc/j4L+mexZTXvSwzVT3gqdfbNMR/2X5YV1Tv/fxdofaXK+O32tTfvPf/kn/46T//+s7LYxhg5HA5sNpt3AjXzJFYOdMxgKk/9NU3D7e0t+90uMS5BTMLqJKVtt1sOh0ORyYCyYFprS93N7e2tsEHHIx999BFv3rwpsloOrmzbVoDP5Lm9fipeJAXGqiRZToU1kQVL4dzJs5Jzr6Zp4uLiooRU5oU3B50KkJBJ5nYhC2nbtvSTRwdH28YCOOd55oMPPiiL6zzPkinkJSnbuRnPzH5/SIBPYhi0tczjiFkuUW3DMI5pv4NSecJuLPlhl5eXeO+5vLxEKRLrlm6aY2SxWPLq9RfFr6a1KlEQxhgqZdFRJt2yWT372DKzk8FGASsJ8Oa/z72P50AoS3zZF5cTwXMuYj7hizE8vc8cZikTcLYwX3kK832GrASLes+ibcEmVcWb8tiZ5cyvr+RtJZB2fsNZQOIZI47WEu2cyHVFxLme6Oey/iilCd7lxfidK5NGJQLA4Fxgdp7ZO0IE7SXmNAOp/N5DCClAe/ja5/I3A1AhgEpsyg4XxDfkoqLxkbkyVEY8LlKMDDpqlAoEJdSdOltAjAKVDzClQQfQHqmFsbTzzDA7RhcYpsA4R8Y0vfmz3GvHePJd5dwprYSxiTEwDCOHozS8ry9WLJsaWylUZVEqEr1HBQ0G1CyroUKiBaJWWEw6eIqrG5CqHdKJbauKqqklQ6NtxZhpLZ5UAK0NKpkvUYpocrCmeLZMJSdmZSXY06QDag4OpaRg9GK95nK9ZrlcY41UBMQCoHTiWDUkuUuS0E3Rn9E6yWHJMRXSpx3PcGuU6c5pmhj6nt1+z93dPW/f3qXKnaNQsgSoDC5E5hixKWNLxygBrxpsZagrQ11brLFYk4uoxTyvdL7hURg0JgBYDIHaaNzUo7zHBFfKt6OfgYgLoLD4EAhG470meIMPjhA1VVBy55MyTJyX4mVJsE94RwnLGDnR2cWP8N7x9bWlw4xUfxqQev/JfoaH/fFA69vtz2r705cv+Mf/9B/xX/6Nv1XAkizUcpHv+/6dxS/7ZPJilxeCLBUtlku0ivgkwWQZKE/y5YV9nmdWq1XxZeUi5jz6v16vkxdLCpPv7u6KgT7GyNOnz1DR8HD/kAqPF0zzVCShvu9TD6lntVqWCSpz5l05Ho/S95frUBKw2O/3fPzxxyiVOg63+9IXeH9/j7XC2rWNAJbdbvcOW6eTFGftyDRNuOBZNG2a9B0KE+fcXPYhVUWXXl8+B62xGFMVVssYw9OnTwvzlCUsY1TJiQrRM81jmVqs60p8XMej2FY86EoAyXq9Ton0O0DAVAbVWU4EZBItmb1zt+tuJxEWt7e35WfmeWa9XstxczY9KqAog6SZGJsyXZhN8pmFyoAq1yDlx8gm9/NfVVUR7SltPf/Kvqk8CZp9cmVo6WzLx/I8z2nSL2Z8JJ5iLRmNGs8cNc4pZufS4Jd4tXxM/bLopAZFdJpOl0o6iVHKWZUEyXw0UKZPnXMcuqMwk/8G2zcGUM1ePCk+OvGtRBi9YVHLvzVW01hJNUWnapIoTFWRK4qfTHqMQqScuBKKqdHOYypL5QOtcyymmWGc6UfPNAZmBzMK984t//lCkuUcWZx9ADdHGc2fZrSOdN3Mbnfg4eGRpq0xGiKeuGipa4M1Vl5rnvBTChJTpJVIVXBGIhRiI/mCtEQk1CExM1VVwkP72WHSZGC+o8jRB8rWtOs1Yu6HqC2mqqXAOB3gra6p64bVcsl6tWLRLKiqRnJGVK6YyVU1JC3apD2TeAtxwZ9E7SjJ6pGzSYzE2EQfy135/rDn/v6Rl69e8fKLVzw8PDKNQ8kiUUnO1UphrMa2LfVqRbNcULU1LGvsckFV11iVkvRVpFIqjX4HwEiOVdToCEpl6nfmcikmdZWyr6ZxZDAKbzROQTCeoORrqyDoiPeGELX0cPlACAZnHM7rs/iGyOzE8B/JOWMJWKYPt5jz3zsvsg1KPBx5d56+U24akCDXn4RyvkoOzNtPqqv6MeDrW2bqz377rd/+hI8+/IhnTz+g6zqurq6KnygnjJ+PxoN8/hmQ5MV9HAduri5pm5qu65gToLLWst1uAZH3cuTAarUqVTR5Qc1TWMfjkaurK8ZxZHaxMCnf+c53+NPPXxKdIkRhP5arBdpoXO9KppWwa66wM0AJKzXGMI5jWXyzJyv/ua7rEq0QQmTo+wI2RcpySdabOXRHPvzwQz7//HNWq1XZp4+Pj+9Ml/k0Ma6thDoKK5IovCqZ9L0v08o2NW3kBT93lAKM48hutysgNQNEMTiHAlQEtBieP39OCIE//oM/wltVhgfye88gNYMlpRQXFxcABfBpbQqozlN51loOySOWfw8hcP/wUPKV8lqgc/VXCLhpQBmZOsxgKqe8nzNHOdwz+6kycI8xYqzhYrNO8p1jTvVcGajlTLEcJAoyzZnfE5yVPofThcgYjUPCqNEQnBNFxyTgh0zXkxSOPN0fFRLdoxTaSnl4VTdiRwnIpKCpUMmvVmymSjN7z3a/+7fywX5jAJVD2B4/e7SPTCFQz4ah9ixqS9tYlnXNAk2jJFdDcwIdpzvpWCQ5kyQnMU4bTDBUlQSCueCZnaeqZmzlqOqZqRGE2k0IYxVUkRFl1dKpAyjxU1ESuScfcflEYsal0LDFoqJdVDSNvP6mttRKugWNtlTWUlc1la1T/YvFKJv6itJiGxL9WcCVfGG0LgdpPvi9D7y5fyB6j9WV1PUkg3ZlLW3j8JH0vAaUk3oAazFWAJAm1+ZYYa+qSi4ixlLZWsCHsSWcVPavSIoBleRKlZjBDAxlBFXM6clQpcR05INcGI5dx8N2y+u7O168/IJXr18zdB2KKNN2KgNOCW1rastquWSzvmC9WtOsWuqVeDDqqjrz/gh4cYJdBdCI4xETIRqP0k6iKYJG61xbNHO0msoqagegqDQElesfFA6p4wnJn6GVxnuE/1JIHITWhBgweeokSashpMDULDfnX+mjlvqf0++KU3n1+1Jb8bKdyXbnVFU5N4oE+eUbha9NOX2LqP5ctv/t1/8h/9Xf/NvcXN+W1PDr62tijDw8PBSwcz4an43c1kq1Rm3kxiPLNOfsVPZi5WtHCKFMCmaA45zj6uqqSIMykdbinC91MIddxzx53r59S91UxBiY5wmQ2pqcWaSULI7ZeN62LR988AHzLEM7bdsWqWkcx/IaYozChPlAdzzSdUfW61UpaM8p8peXV0U2zPE5mU25v78XNt8Y/Fl449gPaYJOQIK2Gl2f+vEko2oiRFn8FZFpGpOkqgtI2Gw2JRldvFFjOq9lbcj+I2uFcXrz+g06ChBbLpcsFosCpJxz5NDLnDSf+/0ygALBBNnb1LZtkWSttWU60xjDkPKn8rFirQBkF7ysjUamor2b8am7rzzH2VRfnk4UI74va408lkMF6LqUap4sMcMwfmkasfjU7Mn0nZ/zVDh9MoJXxmC13ESGlB9IjMSQ3L1a1hxrK5q6YfB5wjut1TrJws0C09Spp1fIgGC8gLMzr+t2t+PYHf6tz9+fCqiUUt8B/ifgOXIZ/R9jjP9AKXUD/M/AzwN/Avz9GOODEtj5D4C/C3TA/xBj/Jc/7XnEGSPPoHxkioEpRNE8Z5hcxLnECAWotJyoTa5GUQI+ThYVVS76Ov1Pa4OJEIzGBkNlQso4cTRVhWucaM3jTD17ZheYXWCaE62Yinnz4hOAWcEcYZoix8mzjJ5lDJhhYD0MdH3PlO44jFHYfJIZI1JburDpHNoJyf8TS7CmgKhkxssGZxBgAMWEOEwz/SgXmmmcU0aTlBUv2oZV2/LWKNbrJetFS1Ubaiv/tlwtpe5nsSrUsNbmlAFj69PfG6nAicnEGZOhLCZS1iRZEJ3+PeSk9JTPFnzqbQpM88ShE7r79du3vPxC2Km7t/dE72jrGqNyEbakHVtraBvJxVq2a1bLNav1itVqQdO0wuZwkkx9mRzQ+BiZgwR+itnfMQ0D0TjqoDHjhLXSK1lXlaTCI/Kf1bok2AejMUouUl5LVlfQEa/EfO+1ACrJNTHEaEtWig+nHqqSnQaFuSrRD5zkvywTpvD9078pUKou51EJpEivU0B5eMe79R7ZfoaN8iNz+v3ca/VV2zccWP27un79WW0xRn77+/+Kv/Pf/F2UUkWW6vu+BElmFsl7X+Sgvu+praFNwGCe58ISGWvZ7/dcXV1xdXXF69ev2e/3fPTRR4zjyJMnT3j69CmffvopwzCwXq/LePvV1RWPj4+F4bq4uGDqHe1Gpv/GsU9ylmRS7ff7xHJYxrEv9TfL5ZL1ep0m0Tpi9Oz3O7S2hWXJeUd937NoW24uLxn6HjfNpzBK0k1uCDx58iSxGsKiHIeeJmVY5WJopRTjMDDPrkzKTfOcbuoUDk+T2Lks+9RVCy4QBJfKDb/LUuUp/DKb829ubuj7vkiHEuFy8htZK00f2/uH1ARyAhiZycn5TxcXFxyPRyQcdFmAUmZvmqahaVuGoS9erPx5O+e42GxOoCTFcZyu2Zp5kAgGreWm3motU8xnAaIZlObjMYPhzCiF4PFROgYzW5rZp83mIt0wngBlfpwcBZHLovPkIJxKnc8JAhMVPuqzBg1PdFBZ6firq4rReWxVY6a5HAshRipbU7cLbCvqyjwnCwb/P3tv8mtbtmZ3/eacq9rFKe45N268fPVLp50WxsI2QhinLFlYGCwjjIWghwAhuQMNJBpY/AVu0UWyRAMkJIRkJGjQATvTBeRLP6edwoJMlE4SK19UN8491a5WMQsa3/zmWvu+wC8yiXh5E8cKnbj37rOLtfZaa84xxze+MZLoqdOcz7jf7xin8Qu5fz8PQ+WB/zil9PeMMRfALxtj/ifg3wX+WkrpLxtj/hLwl4D/BPizwO/PP/888J/nP/8xm05ZugnSjEFqozFpRrYl4Qkx0bWOKibqyhXXbERbjdXVvUaCGCMqJZM/o5LPiyHSxMAUKnwjA5UPgWp1YvKBcQz0o6EfAuOQGBRYLSeRBNMUOewHgodpHYjrii7CaBzB1kTrygTvjM2KqcI1SpddCrlTQcXMUhKbBfAmg5bMOWSgpcJ4MgsTXcVpmNjv9oUStVjWXUvb1BgSl9sVm1VL01TUteVis+H6+oqrqwvRS9U1TdtQNXW2I7DZ3NLxdoQMmaEyxkBdZf2UY45pEWooWYhBDNNikNXsNIzsD3vuH95wf3fPBx9/xIcff8LHr+847HbUlZxQZy2Vq7BYunYjTF9d09YtddXiTEVLRUtNZ2r0G9b9ixpy6Rw+5e8aCAamEKhMzcjAaThmDxSHrRrabsN6JSJIhpHopAHCGkMwglNslE+rtCkiRukATHPOloKh8nv9Mw88UrYz5e8FUOXXyHuIJkCfo67yKUnS0MxHGcTZrlyeJKuC1flZ85+SjrV49uLvn/XYW0DrHQdU/ETGry92e3i85we//Ev8M3/4j56t9DebDdvttrBIKiA/nU60taPebiRBIVsulHKPMSXDVAXH+lrdPvroowLW9DNubm5Kme6DDz5gu91yeXlJVQvLfjyJQedqvSq6HgF9AbAlIkcWky6X3ia22w2/+Zuvs+0AhQURq4J7aicLqKenR/peOsHa7HItHYu7M0+kqpJA28vLKypnCeOpuKyvs7a0z3qwsjAFbGUAV9gXaywpmlJu66oq60UXLHw+FhWCx5gKQ6TMjs3svdowGCsSj83lFXEQKwIBYP6svGSM4XA4nPlcKZhRxkjd1GVYlftYneI1TkZKpLF0VXrvSWbuovNTAGdpWhmvp77PVjj2rKNvKdTWZoGqrtgddmcCdt13Y0wR6T89PZ95Vin7qDYZ6kGmrBhQHlNA5b2XDELXZIRgSEn8Huts+wOGafLFpsMYQ902NG1L07Vi2YHoq3zK7GGuAA3Dkefnx/9PJb63tx8LqFJKHwEf5b/vjDG/CnwD+PPAn8pP+y+BX0AGpD8P/FdJ9vL7xphrY8xP5ff5f/+ct2sOyUpHVRC7g8mH0u4YUy3aqcoRsWL0aU2R7FTZc0Mt7FU8LScKks0rBGupkqVOLk/2MmF1THjvmKbIMNb0w0TfR469mHIOfSQuXNaJhmlIxGnAhog1kSsv8mfnqozUM8BICRuz4DmO+CmQbEtVtxiX8MYSk7rBzgHEhT61Igg3xMVg0tC1LTEZdrsDbx4eOR5POCPMl0mJcfJiiGnATyN937BaNWzWHW3XElKiqltpXV51xXTOOVcMQcsNRyqCSWNyQ59zkPOcRD81z7VFwI92EnqGceR0OvL4+Mjdmztef/qa13dvuLt/4Pl5l7t8aiafmHzE+yjaBytmqNY4DA6SI0WL8WAmMd80JhfBMlHmyI7Ikfy7SgCesTjrSSYSjM/7K+VK8ZSS/dfv3NooHZc20RAgZVFkaojJZpDjiKmeGaWUzoHRYhW4BF0Yc/YcBUslnifMAEwyIcX7JUTw3pKxs+Lss/KhdVXZBz0xS4hkTFXO0Ay83gJPy8cTC+bqdybe/EltP6nx64vefuP/+nXWqw3/9B/6w4WZ0om1rkX38vz8zDQOmDhRuRprbTHM1ElJNT11XfP0+Ei9yAxUsbrmz1lri+BcvOCkBKLlLWMMr1+/luzBVkpR2nFojMmO53Jd9r1MlBqWLJOtRItZa0pZa71ZFcG3HEsQzaa12Vy0Z7fbPoAgjAAAIABJREFUF43YmzdvOB5PpfFjs9lkEBAZRy9hvIh26/Xr16WUKdYDCWul8y2kqUTwABhjGUf5PlR8LQJpy+ilYy+EPcMwYq2EV3ddx/39fWHkQo6oqqsGiAQnwbyyEJow1mGbtnyu/mgpTKOElnos/Z0CzpRSAUzGGG5vJVza5VKavr7vB7pulY0y545MZyu8UXG2sD513ZyBKd2vZaelLOoikx+LxkoBlPpqaQlZQKeduyczGNRuPwWSmjm4BDQKGstnxkgIJ2ENydWY4EneF5IkxkTdtlKNyZqpuq6yRAc51sxMpCgi993+if1hXlB8UdtvS0NljPku8EeBXwLeXwwyHyOUOshg9VuLl/0wP3Y2IBlj/iLwF+dH3kaJon0S9+vIGCJm9OigXjmlEgW4aMq6NeIKnvIER56slEVJJLyP2pwGGCnHuDzxEaiMIyUJePQexrHmNESGAaYRnnZHxjGxP/kMBDO9Gy3H00Bde6YxyX65CuvqvEoRRB8Q/ydjJcTZIi3+JOnyCwZIAoTOypYpCbhC/qyco21bVqsVm82G9eUVrqk59oHdLlDX0r1mMTlwuMa1NcZVNG3HZrvhxfUFr17d8vL2lpcvXrDZrHMIqrjTFwYsy6JUhyQQOGXGKoMo57QtI6OsmX2RsGOPj4FxmhimkefDnjf3b/j07o7Xd3c8PDxKx0yUqAp1cRcneQFQ0xghTPgxkIKhdg3O1AyMVFS4OArIY9aYydUViNknKxkB1cYm8B4GeT8/RTFq9RE/RabR433IYCTma9LM7FdyGBOx6S1DT6PMj7r4n4dez4BnLt/Ot8FCU7UAY2HRxSUDtIIrBMxFMbETIbwsDEIga7RyOfYt0DXnJyoPSlmUzHdlkmtT9zIHkc4A6/fO9kWOX/n93hrDvtjtH/zvv8K3v/VtNKTYe8/FxUWJp1l3LVcXG4ZBFm3H47FMjCre1ugWFUdXuQyknXTOOZ6ent4q6cQicD+dTtzc3GQ9lCkT7YcffkhdVVxfXyPC+L0wSW1Tytmr1aowOlVlpbSSWZcQAsbC8XhgvV4TxsDx+UGqCJmFaVpZ1DVNFpUPA8H7fI0mnjILNTMquYMNS7taF4f17XZbvpfgvYjn+zkDLwRpp9nv95nFmn2T6hyK7lzNarWm74cCbuR4Rcu22awzUNCoGApLv+wi7LMQ/urqqnRTXlxcFD1VCIHb29tyfrScpse5ZHyMtTw+PzP0PdfX12dA0DlH23WSY2gXLJtJTDGU3D5rK7pVJ80EuWz2tu+U9xM+BjCU8VSvMWU1l2HKgFhT5FKi+pwtGailYF/NPd/uANTzk7zH+1HCKXy2qmHez2X5sGk7qlpgTdDx02SPxCglvt3+U8bxt2+J8Hm2zw2ojDFb4K8C/1FK6XnZ9phSSsb8OLHF+ZZS+ivAX8nvnd5uNbJlJZ0npihMBUgJqK881oi7el0lMLKSMiTIRmNyAZX9L1RfU82TmEwweSBJEJlIdp3/LWVHyblLTFNiHA2rpmG/Hxn7XS63zCaXIcI4iX/WFCwJl30wKkBiTEwlKDkYQ2WytQEyeZXewjQ/puUfjMHECMFjSHTOYpua0DRcbzZ8+zvf5eP7HT/84Uc8PfaMQyI6yb5LKbJZr7m6uuLVq1vee/mCm+sLXlxfcHNzxeXlJRfrFetOSoHWCliN0RBNNrG0mbnJ50o6K42YeLpKBhAVSjkRKZJi7s5LhATDOJUW4fs3b/j0zRvuHx94eHzkcNhjMKy6jmkcRSOWOx/Fb8TRDyOnGHAJhmEkBXFlDgfL6TSwanqxzbCWpqppquzAi8VVoiUIxmAq0XQN4yT7NPQcjwOn08DpNHI8DRxPA30vvw8hKk7KAvlEysxnikI9L+6VMvglvfbOStqzq3pMglEiCrTMGarRayEqy7UsGSrQSgqyyD+ZQQ3klW7Igt20+BGNV0i5IWQB9OS+U77OkFTfeHaFJj6fyci7sX3R41d+3Vtj2Be/ff8H/yv/2p/7C3jvi6ZmHAaaytLUjlPufNOcPC3BLP2MtEykk9Z+vy/sgYqaLy8vRV+UfYK22y3Pz9Lx9PDwwIsXL/jwww/PROSbzYZV1vMcj2INoALmw+FQmCNjErvdrrBYfd9ze3vL608/lonYi4bV5gVv358Ak0GXePyZHDe26lZstxfcP9yTUpJIqtz1J0yYjPH9IJoZ0cjss/7Jcn//WjwDnePq6orD/lQmY7UaEHaEonGtrOWUGZ/VaoOzjsP+gHWW1WrFxcVFfr4AjBATwzgVcKBaImWdTNZqici9LezUEmCo7cSSMVJRv5oVJ2eJ1jBm/yZjxGLh1A9cXl3KsdRSXuzaFWA4DfvFZ0VcZbFKThhykoeZsxP3O6YMylxmuvXe0S5ObZ7I90RhoDRge1nu0/3UMVKBnb6f2lUoONPr13tPmmJezJLTPUSiY534X1V1LWDKGHyMuYFs1rINY8/j4/1ZN+EXvX0uQGXEUvqvAv91Sum/yw9/olS4MeangNf58Q+Aby1e/s382I/5kPkgbZKB3OQyXVRjywiTjwzjJEafRkTrTW3LoVRWBdW2sFL5IDK7wGLuW05eOsmpfai8JuWJyHcQvIClTdexawf6Y2B/GhhCIGXnjAj4YBmGIKXCQcqEPkqsjjMJFyG6HN5osvll/s+HXFcX6gGTUrFBMGYuV0pItKUxhnVd8d7lBc9hxR/+6Z+hf3jil4df4YOPdgweTJtojeXi8oKXr97nez/9bb75jfd5cX3BZtWxXjcyENoknZEkJj8RbaS24i4eQsBbS+XAJAEU2qkHaW7Zz2XJQm1ljzCLgJmYEkPu0Hl8euLx6Yndfkd/6nEgthjdiqaSTr2mqmXVmnVx3kdIUYDIaSAFGPqRfWXZHAeaep9tTA21q3IpJAeRNjW2EosJV1eQB6N+HLgfDhyPR3aHE4fDiePxxOnUi14ld5DYfP3IaXPS12hUo3QOpPJ9UwYH3ZTJWoIsq4RPBs9yTQhAj/kanQq7JE9W9ioYT0xBStZxAZqS3C+ioZDfh5iIQRiskJ83JvBJfYxScXpP+b1kX20B9THfNvL58fcER/UTGb++pO3Nmzu+/3f+F/7kz/0pQNYqJyLbjeTpXV1dFUsAZWH2+z3W2mLAuczM0+6xIaUyaWsnmIYya9jyer0usTbamaaTvpatDsdjdkiZXbd1Qq0qm8XAobxOPK+euXvzGmJiZQzJe6IVr7iAZZokOuZ0OrHJpT5gYVegbuKUz1IAUDIRY8QnGfP3+z3GRFLyvPfeSx4fH7HWMQ7+7H5VlkiMSNtSbpMyoKfbXLDfHUgWwGBNhUENOOXzj6cjPnttLc0rl6zMantJvxehvpZbnXOs1+tS3lV2xi/8kBSsYA1UlqrOIGq7YbMRFu7j15/QDz3u4Eo512RT5xC1BCeWQm1lcNUsanfOYdqWQy6xYhJNWzNNMyOl37dea8tynoIjtcLQ86JhyG8tYsrPbG00j5NLKwUtdZpKpB0uNxdpUUCBmKtkTA8pkrK7vS79np4eeX5++lLu0eX2ebr8DPBfAL+aUvrPFr/6H4B/B/jL+c//fvH4f2iM+W8QMefT59MfzEOzmgbYXF4hgypjZAntvXSHjRVnojjrjBiAZr2PySyXaI9mQFV6nbTkp3uQEpEaUp3Bgv5WJh8fILSw7hpWbcMwBh6fDjztjhyHkSmv6yefOJxGnp8PPO+O7I89/TAxdp7K1RLInBmOaAQYRpNIMRDzBZtixETR/2CttPZmbVgq+yTHXtc1q/WGV1XNNI08P/00j093HPa/ztPOs+rg/a9d8Ad+9ut897vf4fd/76d5eXvLetWJJYET1/BwOpBiFDCFp7IOU2VNWhIzS2OM8BUmkWwS01SEfSJK6LPsnik6m2RUvJ4HFsS363Q6sT/uOZyOTNMogv26oc2aCilxykALVkqB1hbGy8fE4TSw708YI1lSXdNIy23287LZO6tyjrpucLUYnrqqki7NceI49jz6nmEYOfUjx2HieBoYR9FIkeYoBNFgCZASM9fcUGFmkaiC9CV1/dY9Va43ud7P/20yFTYDM1sYKfmsXMJLEG1FQAFUmkGRlgODlgfJZcCY9Vjy9+MUmXLHZXluWjJZsxA+xWWMjri/hy9vsfeFbD+58evL23711/4P2qbjD/7+n5X7i1Q0RsoqafjtUtMEcu1tslBdgVfbtgTvi4hZQ5YVXN3d3eUy3qEwUgrSNBbn8vJy9l1K8ew92rbJzNAzTdMU8CVlKsAIAJmOPcmaUlpyzjGFyCqDg3H0+GnieDwWwOR9xFnHdrOhz93TVdXk+Kk5L06AVUtbr7m4GLEWHrIvE8A3vv5NdrtdEe8r42aMLSBKdWXGSESJyYDkeDyyzWHIAF27ymUxj6skz07d4ZddbJpPWLcthguin0oX5TTJaxSgXF5eltidpc7I1hVTkEQHFa4fj0d+68MPuMjaK7GlmLDGcjr1kpEbR/E1m0R7ZlIszNnxeASYrROs4TTMnmDLGBk19lxm/OmPsm6r1aqc0xgDdqnhWpT8dNP312NUHZU+po+7yok58zjl6klEdcU2+1OGFBn9lNm5hgS50/TLB1Pw+RiqnwP+beAfGGN+JT/2nyID0X9rjPn3gX8E/Fv5d/8j0nL8D5G243/vc+3JQrshDFVeuZPdTzPjYU0uV4RU7Oi1vb9yFW1tJZPJSrnPpBlszRl2KjjWfKRZJExqSDjE/DJiTAQiyQE1+BTxAdrGMYxrKTcyEsKAD3LzTD5wOAw8Pu15fHpmt7vmeNzSrxvaxhGSZMM55kS/FD0mGaLPgu+UJ1primmnAWLWs2jrvVzcjtau2FrD+y9fMPz0t9ntHjjsnvno4zdcv1jx7e98m5/92Z/l29/8Ot/+5je42Kwl684CPjIOw4KdSOI6SxZKk1tpXSAlN3cEJ3VqDvig/NycxSRsixxjufGyWN3HwDD2nPojp/4EMSBWWBZbC8RIRfAjHxdCxGr4d0oSUpwiU5qIRrRvpxx+6oyV7k+yS3rWepn8fVrnSEkyxvpp5JQ84+QZpsAweU5DFkzmyctSZQ2ZyXFBETVmLRl4bwEpBe0FUC30AWeX/oLmWb7HclKcW5nN2e+MZaGzSsXtPyYIBfSYzDbJvVO0WTHRjYHRa/p6KIBrCbwmn92fC7Ml7xHG3xMlv5/M+PUlb7/yv/09furVe7y8fVlAgZaYJK9vVUp/OtFpqQRkFb/dbks56eXLl8JKZPD1ySeflLJZSiln+M0lpuUEr9Er2+02sxuRpq7pcvnvdBJT0oeHh+KhtFp17A8TIMagcZqwKRW935JJc1YXYFLWj1EczLUENokLtOTHVRWr1Zr1egPGlLgdYWKM2KJMEyn6HAEzkKJhu92WsqYah4rgXACo6n7E8DTRNBXOJtarNke6jIyjsH0+TCQTC4MD5zl4ChCWv7PWMhz2Zx5Sy7Bi9fHSbfITrmnE0DmJMF3ZIABXV/gYy3uD4XjsGaaRqq65ub6Rc5HnTD/NuXxSnmuKaWtVzR5US0ClJTgFrnqdaYMBzB2HCvTn6Bl39nq1glg2UJzpUPOm76XjXyCSDHMzgZ21yFK5kDk9ZM3DOI7cP9x/sTfjP2b7PF1+f5szuHO2/enPeH4C/oPf6Q6ZlLP6IMONeUI1i8laKiamGFNWdUVdNzR1EmZlOSFlMZ2I1vVxDQA2ixIGhLAmRjAE8tSEIZAIUnY0wki0MdFPLbaKmGrC1Z7pMTH2olcZp8DpJLqcvh/ohxHvpexXxyT5g9nXKqSENREbJbdPGTQtVZXoFCO6ppQSPojxnHVZG2QdtY2sm4qXVxd86+vvc3/3TS63HbevbvmZn/kZ/sDv+x6v3nvJ7e0LGleRgoT7BkRoXG4gI4yVcxW2qojW4Z34mWAtNTaXBmVPQ5IMQAcyEIbZnyoa1VvNHWQps2s++NKF1KKnIhtoLMq1paaeyEAv2y9EuSmHNIlIEY8z2UYD/Zkd29U2ozQj5GtunCZGP+JjwofEFMR/LMYo75CF9tZI04Nl7nDEztq8/CG8fbtYa85/rd8TOpCUoKr8fHs2iOlAtGSwZkA1f0ef9WOMZlxaQlKgJWXtEKHGFvGolgf17zKBwTBMTF4E+j6vcFNKjNM7Tk/xkx+/vsztB3//7/Iv/4t/RnRUWdwNFJ3N3d1dKfPpRKjP3W63PD4+sl6vS7bc8/MzN7e3fPTRR8XvSu0A1KFcy3sppSJwv7m5KeyOgoXj8UjXVqxWHZtcjrTW5qw5WThB4ng44mJe6DpL9KJ1ck4MNa21EoK+2jCOA33fs1qtcyi7JYQJ7yemSUpqbW6gaZqaMQu+Qwh5QSf38OihqyucdaRkuLx0ZzmIorXyRYMWY+Th4SG7qDdcX1+z3W4FBGQQKGXIxGk4EE2TjU99KZ3peVjaD+g5OZ1OoveqG467p8ye1wUYawSQeoFVdc2+FxZJQdCyQ04Bx3q7YdV2nA4nYkgM04jNWrH9/sB+f+DqxXUpMer7dF2Xz+mTiL8X15R6WSmgWbLtyuCptYNeP1rC02tDyoFVAc3apaigfwmkFHApeFZGaxnIbGqHUd8sg8zMIWLy9VNZsch5eHxkt9/9ZG7OvJnPQoU/6c0Yk2Z3cICFmBxVkqQ82Yrd0aqtuNis+O43bri+3HC5XbNuGy4bOXlVJWJC8ruKoRpgUnGUtmaeiEhZIGwvUJ8nQ8QRwQRIEhrsSRhrCQbuTwNPhyN39w+8uX/gH35ywfPzjv60o63h/ZeXfO+7P8Uf/H3f4TvfesU3v/YeVxdrtuuOtq2yuacILklQRyc5c5lJq3O5q9YJNoPLhHgphSjdDsYI7TOOE7vDgaf9noenJ+6fnsAabt97j9v3XrHdbujallqpWh+JQWj1FENxoK2qWmj0Wn6crTILKHoma6qsqSGzaZHKhGL7n+oKU9ekWgTgPiZOfU9/6tk9PfLp69d89MEH/PCHv8UnH33EYbdjk6UCCl6Eyq0KAhEo9pbvSb5IJvpS5jJRyqUpM21kEEGSkGZpPMglMkSsvzZ1Fs2nzB7OnXGqc1KgCaJrM8bgcskWq3qpckG/fX2f/bl8jsQmzGVoHXSXHTO6aWNCuU9MwphwVk490w2W1/GZ75UwUHUZUPkc9Hxu7XDsBw7jxBQiow+M3suf48Sv/fpv8Xm2VFKi//+7mS9JlP5Z27/wz/1xvved7xaGYL2WDjNlLdq2ZZqmUt67vr4uK/qlG3bbtuyPJ1IMpWS42+3O4lB2ux03NzeFbVB9jwqb1dVc9TMhTLRNJU7oMRRQZJOAp2HoaRrRR15fX4p3Vd9jjZaTUmHdRh84DWMWg69zcC7lOm/bjs1mIz5T41CO/XA4FO2Oaqiapsk5sCm7vw9nAnCNeJHXTbRtV4CPMnEKUJOr6acJa1LpptRNfbc0v+54PJb90e9d/brUvX44HTHBc3V1VdifyXvG4EmkuVM5jzvqU6Vjoc/yCSDr2ALvv/oaVSWicAyiX1UNVz7X4ld2kliwPBfqvi3BFMwaOe2o6/u+6KIU/CjA12PQ91FTWD95XFWfGZW+zUzp9bnUn+nvl89LKRF8YBr7YtzsXMXoPa/v7s60Z1/E9nnHsHciema5qVoFnWSMlDlm9gJcAhcDzg+46KlSxKZEbaFykvfX5Jo7BRwljCU7XwuxoL/TyTekRLAhy6dk4iz+5ckSDTTWEYA+r+Knyedug7z3JvfBeRj7E8PhSH/ccdyt6K+2dI1l1VZIy/3MlvkQqZKIkVMSdE8yxBxy7JwVtgXpXjBWux3EoymOvawEDwem04m2gq+/umV9seXy+gXr7SYboUGKnhAiKQQRvhtxnZd9l/c1JmWGTKITTO7uMkYYlxlQmZyLZAtQkSwsiMkTjGEMkdNwYn/Y8/D0zN3dAx9++JrXH99zOoyYkI1PlaEpzQKRlE0qo4KJM0AhP5WpRM+lAsaQb0KbSElKwLJvJp/7VP4dU8IFKVa6lDDJ5hBqU647BSQm68TIu+KMITqKT1VK4usSVB+gB5SESbKL/VeAE3IJVwYspdc1M3HJdn0GE0Wc75OUTV7tbO+QyuN6Tt+Kg0CCxStnidHOWqlFmbeqHe0gk2nwgRAcIUTud7/7C7F/Urdf/MH3ef/VK77z7e/w+PhYst9Ut6JO26p/Um8ldUPXifw0jLi6JkxStqnrmpubG+7u7opeZrPZcDgcUN2MehMtgf/sPeRyzE2F95JBOI0jlxuJkPHes1oJY9X3PU3TAnkSzT5rkHBOxO3iwSfO3DF6pkmu5bbrMkCRiX2z2eRmi1CAhTrLV9naQW0I6qbO5cv7ApJUUC1O6aE0Y6gTuU7O4zixuVoTjMU6if47Hs+/m2EYGIaBy8vLYq+gDLMyg6orSylJt/P9PZtWANj777/P6CfGU8jjPeU7Op1OBeQsGcq6rkvDgFgx9ByOB1arLXXT4IMvXlG6T/v9nsoa1tn7apomxmk829cyRi06QtU4VBsQ9FoozQBZXK72GlrK7JqWIUk1YClXAV2MzuPJtOhajIvnlnFLn2vIocny78fnZx6fv3hvqd/O9s4BKkohCSgcxFucfWYFkjHa2oSNkSoFHA6HsCYkNZ4U3UsBV0be2eY4FAVr0UIweZJKWcuVEDPHlIXA1pECxDGwP4w8P/c8Pfc87T19v8dPEuabLMToGccjh8OO/W7F89OKykZxNa5mgz5QrZcMKCnlDkcLAipEA2OsiobFe0tXKSF4kh8gjOAHwthjnONis+Xq+oL1doWrc7p7nhhjCHkyljKqek6JzVAgRpPpdfnmq6rJNPosii1nJWUrhUy1JGekGzGX9qZx5HQ8sd/teHx44P7NG56fnhhOJ2KI1NqXt9Q5ZTYxZcTgXDY1dbWAoTIAixhdjVxtgmRn1kdTyG0+TmtMbgbIqChBNSaBqSl7M+WSIFnTVa7FBCbOhqvGGnya/WxAYo2KQ3oSPxYw2KSAdcEWGVHxFdyUwUxpklyUCm0p7ZmyAEhZKF+uIR2gMJnSmwcpDQYyi0E6pSDXkpZ5re5ILo0mWZzUlXy/Ic4eWI+nLyaq4avtd7b94g9+iVevXhXTTgErq6Kr2W63pJS4urri448/Zr1e8/r1a9q25fblS0YfCOZI7Hs262t2z0/FN2o5Lq3Xa8naPBxKGUu1L0ABZzq5ig6rIaUaayytE8ZoSuKgPY5j6TQ0yES8Wq1yUHrIep6qlORWTQ1VXUpNutCwxjDkUPWqEaPnV69e8fT0RF3XPD8/Z4A0ldc65zCuJkyhMC0KgsCU0rcyb85JBt/l5SVtt2LfT1R1CzHQ1jV1VfP09FjK8SmlkisIlFw9FX7f3NyIVcPhUAKHD4eDCM8TTN6zPx3BmrOAYi2dASXGR8HKeWlV9llKlxJIrRpQCamWYwveE8eRarWiqmtOC6PQZROBlhcVUKlDvyuVFbMY6+bgbJ2XxnEkRelSL+83DsSki9BzgPQ2C7Y8bj1O3WZbCRmz7x8eOfZfjrfUb2d75wCVGgioiqqszBePCFFgiCln7XkREk+TZXAG4+ayh7UGU2WGJxt/avs7BjHPzHUh4yKuyq9LCZMkLNjkXnEfYQoZtXvD7mngzd2BT9/sedhP9MNI8J7KQtdAWzucgTh5huHIbvdEbSW81BIxSVZB1lQQE1McM4Niqa0jmYqUb/SUJBYhy/QB9R8KxDCRppHn52dxTw4B2zYEP+DHE8PJYn2F94FhmPB5RWiMACkNO17W+iOGYEYBXEluimQrMKIjK47tRgaTiMTLYA3GyeSspdoUPWEcOO33PD3c8/j4huNhJ0JR56gQ93gBvxkA24WA28S5ihZG6fpzhuQkViApMCQzZsxAImZWKSbpqhSgl48xXwu2SlgkxNjk86I2FsZk81IDNhmyCrzoxWKKOJPjjjiv9gkrZOa/kzLrBKpE10qRkmKq0bLlsflolM2U0l9a6AHPsFPGibNesAxYmW6bGS1l41L5/DLQYTKAEsFryt+JfpZ6wn21/e5sn7z+hL/+Cz/Pz/3xP4E6pKveSRmCcRy5uLjg4uKCruv49NNP6VYrHp6eczxK9vlJiW69YRrnSBsVk7dtW7RFqrNSpgVEhKwMx6x38XRtx8PdB7RtW543jmMWuF+x3+84nk6l+zalSAouL+wEUGjXm6scNk/gzolnk7UWHyKD7/F54r2/v6fv+1JOUwG9lrHatiUBrm4J4bGIwK3NHcAuFrG1ggrvPd1mS9WtuWoRLVAOS7+7u6Nr1yRCYWn0O3p+fs4O6nWJ8tF7cbPZlPdX8HY6nbh4ccvz/qk0Aiy1SCrY1w463U8FGcfjsYCfpmlkXrEJ6yR+aL+XmCCTEmEci9xk6IdSzq1riRoL2eYCOHPB189bsnoK7H5E72oMbdMSM7OmjJYyWMsy3rIzc9nxpxo04OyxJUt/6k+8eXwsAP93e3v3AFVKOjVm48R504pLiGLoOUxwGj1tP+HcwLrKJTpjSclQxVhuUJs7v0yerOc4lzK3gVNrhoAhgInyfll4bJPFBEsArINhhP1u5PHRs+sjwUQqC+vOcXnR8OJyxdXlhratcCYRppFx6DkcdjIBh5QjVWo57uxBZZOhdo6mclS2EqPKvCoz1ogRW5Ta9RQ8cZIVxzQMHI5HjqcjydlsSXBgs91iXJVXDRMpiWDb5dbXpmo4mSjaqWwp4GxNCCL+HJ3D+4C1VdYRtAsncwM5KFlLcKTseRSFAYmTJ+bVydgfmfoTJnoaJ1qxKohFhGojnFMtEFr3LWUoec4MdNQBLJooWMcivQTJFJbRZoAYQUqRmAJ+bFL2R5oUFGyU/1LKXqUWlykw7Rw1xtCY+mwQkDiiiBqyVrljiQxSFBTpMS06LvKP0qJqYivdiDEGQswMoA5GWntkwXqVd5QA1M/aShvy0s05+8RJAAAgAElEQVQh24TYzOgaazFBmgpSqa9SSqCH0/DjbuWvti95+4e/+Rt897vf5Wd/5g8Uwbj3ng8++ICvfe1rReCsTM31zQ3XN7elXCQO35uZzfGywIFzHUzTNLx69YrHx0dg7lpVEKUTnTJY61XHNI0MuY1e2Y2u64q3FUhDTUwR33sSkaurKxE1hPlzVcDsYsLWTRFvYyzNStIZuq4rZUktXSogq+ua/X7ParXi6upKjtW5bH1wQV3L87uuK07lei81TcPli1vabpXHAcMw9NR1Q9et8H7M0TMT7716WTyklLVZirnn+J1QvMP05+rqiq+9ej/LPMSXSrsEdVM2SlnEJZAZx/FMZF8WxTGQGHl87Mt5MCFINqp6SsV4FtgcMzhVxklZIj3nS1fypVeWHm9htbx8TspaPfJnaGlQxuQZUCnIWpaR9fOWthFLMPW0e+Y+X5PvyvZuAaq8ei4uzXmlLdd3dl+KMin6AGOA0zBR1xPJGDZVph+NJcREXTtq5wqrZayE2BoMONHAmLw0N0i3gE1iQumMxWRtFllbIuyBhO12taN2FSlZJi/slalgtaq4ud7y8uaCm8sV15crLrcruralqUSIbpLQrtMwMpgToZowKRL9VMpxNkHtKpqqoq5cobm1TRQnmXoxRbHmP53Yn07sDjvuHx44DQOurtheXbHZbvIqLIcdkwGmrYS5M+JzJQNRQ13VuEqEhCJIr6jrHmeljt62K5zNQMJabNNJLdtpV53ozYTh8IxDjx8H/Njjhx78RGUNrs5+UU66G7NkiUwdlstiufrR60Iqcbk8hsNpa232xkrZj4kYcUClRKTJUS3GSMdmmgGJMboPuUFBQU/STEX5fJtLxuRuknkAmwXzSyr8R0Xp2d0saasFBVfpccqxRjG1TYkQ8wos5jshQYihrGSXjYYzpTV/vgK85e+DH/O9lQEUUvNNyUK0WUNIbhLI5c98rM+H0+e7p7/avtTtf/75v8bl9oL3X71fWKP333+fm5sbQAJ6v/mtb/Hhxx9T59KZgo7D4VAE0+pkbo0ROQBz9IfG2mgr/2q1KteVlopevnzJNA4cDzse7u94enoShiVGQt+z3W6lzJXdsjebLcakojesq7qwSMqYqLRgHEe2eXI/Ho90mwvGcTgT2Cso+uCDD7i9vS0ARiN01us1TdOUGJputaGum6L90pgdFfNbV3H54gWrCwGMfd/Tdl0pqe52z+V7ub6+5nQ8cepPfOtb35IqQQabS9ZKQeL9/X0BgSmKZEFtB4xxWDOzPHoeltYB+v2rk72WypYRNcpWjeOIsRVt0zEeDlDXrDeb4rMl59xC8oUNstZSVxWn3MWpQEh1dTADoeJirtIHa8FVTGakn8RnS5km3T/RYAkj5UP8kQacJWjS/Vky7SEEPv70NfvD4Uu7r36n2zsFqMxbfwoKEr0QRruohAWwSViqfgpU44Sxhn4QPYhxIpD23jFWYhbX+IrgJbSxbgRoVS4DitylRaIwLdZYacGHHMIIrqqZIjB6hhC4XgeuuiMXlWeIUHVwddFw82LDy5srXlxu2K4btquaVVux6lo26zUX2w2rbkXbrjLiJ3sqJdEbnU74YaSyhq5paJucq5dZk5iSRLsouAoRP4z044gPkdF7DscDycAYPMM40HYtXdvRZu1CisKSaI0fK6uBpmnF9beqqauGqmqwVmJ8qqqhquocIdCIrYKTVYmxFlfJyseGSvRoUW7S/niQn8OB4XjAjyM2pQJonYrhz/0vpQxQGKS3AFWmFvNpo6TCJ0gmA6uYZio4Zdd5vaZSggjeWIKdoxcMcg1Y40gmMYWJIsZHsw1l4EjGlutF9jWeDQJn1/YCVC1XW8bO/y7PU6Cfv4MzsLVgtOaSxTzgyMCmZemwYLP0/Zd4y5fBWOqms85Q8vvyvZgykLLK4lken9+9weyf1O2v/82f5y/8q/96aWPXclfbtnzy+lPun564uLwqQvX9XnL3Li8vefPmTRFfT9OEN4Y2l3K0fPTw8MDV1VXpDtNQZY2YCSFwOh6YJtHV6X5ImarhYiPvrxqfJr/HZrNmmkZ2ux022pJd19Q1tanLtazsysV6yxDF50/tHWKMAkxSKtqxqqoKoNvtdgUULsOGQ+KMedGOtLZtCTFSNbKP+/0zm82GKi9q26bhlLPzjscjV5eXshj3ofgxqb5nHEcuLy+BOcdOf9eferosyu/ajufn5wK4xAtrxZhLsEABQGqeqaBJjTYVdGnHnbJXMUZ8f8Afxf29qWtSjBwPh2yNI/vk8iJYx5Lj4ciQReo6zigQV33TUmc1TVNucDIZMG+KkF0bJTTIWst/wm7OgGo5hi1tF5Zg63A88smnnzL5iXdxe2cAVUpzozqQvYKWyqk8uNssYzEy8fmUGH2g9Z5hitIRZx0kQ3ABFxwh+Nx1MlJVjrp2IirMHRPq81Q1btbiqHXDouMqIv5MdeNoAzSrLucHQRqhqWGzqbm6bHlx1fHiqqOrLC55amNpKsOma7jcbthsL1h1whyFEPHjidEaog+cjke5mUg4I3EsUSd7ZFUXwijeSNZikvQiurphfXHBZQziQBwDbdexXq9ELFlVVM5KR2PWClVGSlo4bdXPpTC0CiXMnDGIFson+t5ibRZ7OkfMSfeuclnv4ESvlMR1fTz1DIcDp/2e/ngg+BFnsgu6ScICEs/KsLLZUupLhKxt0pIf5dow5RqRspWIuTWcOV9HCsY0w0YuOmHgOF8VFYCTDDV1xhOlIJh1bgZb1fk48wCWtBkizYyPMkCl7Kd6cSnXmQW4gnPgVR7Px5RUB5ZXpQJo5/wrXTGChiPPuoIf1VqlXBIg61jsrF/LGkR9ffHJyudp9JH9VyW/d2Z7fHriF//O9/kzf/pfKqLvlMRP7ea996jrmk120R7HkfV6zQ9/+EMuLy/LhKyAY53z+ZyhlMystVxeXham4XA4cH9/jzGGrm1xlQDx9XpdOrR2u13u+OsYvafOF556H7Vty/39A10njJTtxGfOR8ksXK9WTMOYjS9hSpb7N89sNxswnqenp+xsbri+vi4lzLquC+u0Wq2AOex5GIYCtJq2xTUNVV6YqEZIrRaGUw8JDinR5a7CYThhjKVrG/rTkaHvWa87sSZAQtU/+uijEmC9jJRRpux4PHJ7cyPM2zCWcwKz/ujy8hLvp1JOU3C0Wq3Kc7UBQI9v2QWnTJYECwdMTERCcWNXQLzKoFjHnv1+z+byopQXm6qeLWy0JJgZRQWGpYtxUbKbBeOzk7teY8txrpQoFwtCHcMUUC0ZuPvHB+7uf3Imnb+T7Z0BVMtNJ/UIUroxaTb0tLN4V6YnFSZHvIcQElNM0o0l7wZIx11KCWehqWt8HahqT52zjJyz1KHCWbk4orHUzlJZR7BS8w0ADoKx1E3L9fULbl+9z773fDrtaRpbGKVa9UjWUBtEuEyidtBVhnWVqM2Acw2mdmAbepswITD2Nf0hi9NrGZTaDP6ME+uEfhqLA7lzrXRfhUC7WVO1LXXXMU4DVV3Rda2YnaZI8ELhNs5SV9KpUq86XFNj7SzSdFYS1p2rqCrJfxKUqz8xB/UGCdQ0BibVqAlzY4zFh4mxP9Efj4z9iTB5TIhYC3VuEph7OROLxjYBcXklOZeC1dph/ruW5gzn4uxkjJTk0hxRlN4qJ4ZzODa/dvFGNsPsJaVugCkGtAvQWCtspp1jGpQKz5/K4tDk2BQYJgU85+XHZbuwDjZLLZmzhio3W6Qkx0LSMuU566X7dC6St4XSLyVPOXhZRNR1Kf8sUC5PT8e3b9mvtt/l7dd+/f/k+vqaf/aP/DH+qT/0h/jlv//36VbrIlLXcqB2bCkIgRlw9H3PxcUFIQQ2W2EY7u/v2Ww23NzcFJ+r4/GYc+cGqurcgNd7L2W5rivlOxD2mxhL+a3tOmz2h1LmYnl/1E1DzI0zY6pJUfRDGMPkRYekXlgxRt68eUPXdbx48YKu6/joo4/O8g1BOhZTSiWzsG4a1l3HqhWmbbffA5oPCCkG2nrN6XDksNuxXm84HI+s1gLUjsdjHgtkEVhVFV3d8Pj4WJilvu8Le6ZgbxrnOJ1DLlupP9WSdVLxuYJgqSAIMFPWTkt7yr4VRjpGptHnMTF3W0++sHo6Fux2u7KfVVUxDbJQL+y3c7KIXwAcBU3ee5EeTHNn39JGQ68JEcjPOY/6O8jjmDnXUy3lEvrcT+4+fSdLfG9v7yagYuamjC7y0wyPRCSsvj1ZyGw5u6BkWa/lE1smy5gMU4ikNOJDYFoyMxZq56irisZV1M5S5y44FWsnUu5mc2w2F9ze3vJ87Lk+TjS1zWyXKxE3dV3TWKic1Kq11GZ1lZQn6YqKiki96Vi5F2ybisPhSF1bqsqy2Urdu+1E29RPIz5mJ9pqzTh5pmlkCiOuaYkGDoe9iJlDzgiMXrRZlcO2LW3taJqKZt1RNW0GT66Iz52rss6qzsAhMz/aup8EVKQUS6Cu6m+E7jAQgrAwMWCTlDBj1xKDPzuXhRTK/09Zu1ZOen68wA4FIcYWniqRbQ+KKEnObYoCeKQbMWXCSt57zABzBmy6EzMzihw1SQWrWss3oPFFy4s3kYjBy2fplbxEenotKkR8u+SXgWsqBO0Mtt7WZb310eLbk8j5qQuAZvU6nxszUppd5DHy/dlM2S8ZKl1dKrB72n+ln3oXt+//4Jd48eIGqprthZSa9DpRV3NlY5a5auv1OjuSC1BYr9cM48ThcKDve77+9a9zOp149eoVDw8P7Pd7Li623N5cY63l6empADbNFYT5Wm2aBoylqiX+Rq8rsVgQA827uzuapuHq4pIQpEuubjpSsyYMI8f9viwK1us1zhq833N5eVl0YavViqZp2O/3Rb+kBqbqQq6foyWsY9+T8hip8TpPj48YayWfz0vJ/9WrV8LujAOjgaZp8cMgPnZWhPHEyGrVlQXmw8NDiY8JQbSxJgkTpGBBdVhqJaEgVCwwAs5WxWh1qVlSEffSwLIAGh8Io7A/2s0JMiQvz8s+l0MTFKd3+d4bjLOlghOSJinMOijVWekCfQmCliyUNghYa3l4eDjrCDxb3C0WjLoZY+iHgbuH+y/cqPPL2t4pQLVwNpIVAgtQlWUe1kBloK4sbVOx6oQRWrWJuj5vE7fZlLJSQ8tc5gLxJore43NMin64M4bKisZKdFYiPtcARls1uKqBqiqgaL3ZcvPimnE8ZffWiRA8llXOF3Q0lRW9UQ6iNUYZIJedaiN105RyS4lQMKrfkgFJtQvdalX0VNZ1HI49x+GEmyoRftY1MUX6Xmjwpqpo6lpCMY2lsoa6crSNlDwrK99pVQsrZa2sTmzuMhMhu816KpdBicElTxW85MBljyy36NQLFcSm4dR02aW9wdkBIgqBBIxlgKZlP11VhiCrRRFWK+zRMh9Z70N5vYYCF+VQRuTSHZrKZ5HkfQIJlM2M+t6Ucl2KuRSdMc0SxpT9Wayk4IzMmZ+7AEEC4AzBVkUjJcYTsz5sKfidGao86MQcKbMwVNTP0Pd/+0+FZNbMpdy0eM58TGUnzsCe7ktKifvnrxiqd3X7/g9+ifdefa3oooDCeGhgrzFiAOm95/r6ujBU6/Wa9XrNdrvl4eGB7eUVL1++5ObFC/b7PR9++CEPD/fc3r6gzuUxgKurqwIKvPdcXFwwjiOPj4+0bTtn3DmHz695fn7m+vq66I7a9oC1hqqp6U89q+0FULHetqy38PLlS+7u7oCc5lBXtE2ddU77Yiq62+2w1rLdbjkej8QosTibzYY3b96UyV11OnHqMY3NjNuIz9oynzVPCkIP+33ufpZOPynJWcI4UretLCpj4PHxUXRGMbJer+m6ju12y+Fw4Lg/FFG3Mk3a+ajaI72fh2Fgv9/n38XCMmq5TjsnFWiVMcAH4jRrI98WtmtjgTGmWDcswVpVVUzjiHH2DCApQyV6y3lRu8z7e1s3CpRx7HQ6nY1Tb7/3Z41hT7vnd77E9/b2zgAqY4x4Py3GdwWrxuQuKwe1MwKk2ppV23B9IczNdRtpa5vjUurc4VeJbkjDQlMghUV0SZ5cUoxCL1txzvYEJoRRcrlzIUbRr1R1U0pqMUFdVbSrFZtVhx9OjH1PfzgwXqyJcS0roa5j1Yj9QcIyTZFh9FS1p6qQbsIYM5Cpsd5jshYJJDZAowFKG+4iyRwMtqtoTM3zdGJ3EsO+NE7CqlQVdV2xXrXSqZZXGrWzdHVNcNoCK67ZVeVK3IwMKmr+mFkO5wpL5YzFBosZZfUVSDgbqTIoc9ESm5b1alXCV/vTiRhCKb9Jt1sGItqyD/lxSyLmzzZM07gohYl2Q+NbBNBlQJVMNuuU95eQYI1WydeAiJPy95oDgNPCoDQlUowCptEBSkuURlzOlyurRYnuXAsGMP9Or7/oJLUyRohxLiUaK7YQEp2Uw7nTua6ANLcsL8uMnzWwLcFQ6fpLc+egzWVLPY7lSjQZk0PDZ1PSh91XDNW7uj083PM3/9Yv8HN/4k8WNkjBhsak6DV0dXVVdDBt29J1HVdXV6VtP4TA8dQTwx2aj/fi+orHx0f2u12JuNEyzzAMfO1rXyOEwH2eCLUbzc70COuuLUBOQcN2ewFEYcourrh8cVuCnhXsqCAakHzUvufmxXXRZSlwAmbfpcyS6P6pmLs/nTDJi8TDObqu5tNPP2WaJm5uXgBwOBwYel8qJPr9xShRNbvdLvtc9ay6rpTK27bFOsf1ixeM40h/OjH2A7e3t4QQ2O125TtX7Zp+ngJeLf2Jbmpg1bliIaHlwGWpbxxGqkUSgm7Le15B1NKINITAOAxgZh1dCIHGtaXrsYwdJgOoRImkWY49y21pP6FsYL8w3tTzoPuQko708ruPX7/m+Secw/dFbO8OoGLWTsEsczH57yZBbaCpLF1tWTUVm67mYtXStDXrOtDUFau2y/YAUnqzzuLyxOt9IhiZUO0SVSfp5vILH6iIGFNqHpzJjAvjhOkHqmEAV+GnScBYZryiHzgeHafjhjRdUjvHZr3NcTPCQhyHEZ539JOnqRtqa2grS13LhOVjwjhH3a2ks2S1om5bbFWJCNxAEodS2fdpYJwG+uFI35/oTwfG4wGmiZWzrJuKi1VH22UDPW21d9LZoazIstvCWL1ZBGhJHIpblADlRE1JqNhgJVfOBDlpKXgpLxmhhtu2pW2ltGhcRTTiohtzJ5+W8FwyBVyQYtZHWaIXUKG6JGMMKVrUxlNCSz0+RIKykFFsBzDqghyzP9YydHspFM92CxlwpbxqU4d1CaHWActk4KaAbgYcZ9/lj1zjs0A9+P5sIBLQn8gNdnhrM+sWpfSQou4phogLEefmFaKWOT5r+xGmyQiQAzBuBus+SQRT02Sn5vx5MUZhT/kKUL3r2//9j36T9957xR/9I3+Muq7LxAsy0UnJ7kIcuqeJp6enostxTspym82GDz/8sGhg3nz6CS9eXLNflN50sh3HkaurK775zW8W4bU6rL+ddWedw1jHfr8vDI0KqOtmzeWLG3wu+XXZpsBay36/P2vP3+/3WYN0FAY/g8Zpmoonle7nMAw8Pj4WZubm5oZP+j1DP9FtN3zyySdZoF9hTKJtm+ztNGaAUeO9eMENw4m6bjjsdwQ/4ayY4+oCpNHFu/f4YaCuag67fTHkPJ1O5RiUhdLXKmg8HA5n7NI4Tkj0zlSYJBVur9drWfRFAVW6LRdQS2F3SpFh6LO8oypmqybvj4ryrZFuz1M+h/J6V+Zl7ZzU/dQypn42zA0Izrnyvst9U1mBjj3Kon786aeM07vZxffjtncKUC3/MTtFiwGhs4amMrSVoascXWXoKmhdorWJ2hjJ6bMUHZPN/jnWkAN/banVysnVMlGgrRrqVAuDpRqaBDEEvBdDTGNE+5RiZAyBIQb2+wOnkyeOA8lPxCkwnk70x4O8b9tKKHFTk/Jq5nA4cTj2tO2RVdexbiu6pqbJkQUheJKxrHJ3iGoDXJ40MQYfVHQfCWYimJEpDgz+yDD1TGHAx4Ha1TRNLVqpuhamI98EPkV6P9A1CT+cIDSYbo0zK1Kq8SZhM9O01BSpbg2TMFPApCDu3imSjLiOi02URJ2IoFvE7Rgroaf9SAiJkEYKSDCLbo+g0TgUwb2Uu0K5LqYxr7IyexODxKOI4aUYFYYoWioBXRlg5S3l8pkC689a2em1aa2lirM7ubGa8rjUDGhZTbIDLcx6rsK25hIeEFL8kc8rotK3tFLz37Nm0Fisq6mbXDYGsjsqiVRYJ5gtHMrxGSPxQDEUMEvuDJTPj4zjzHwpwLQpYW3k4auS3zu//eDv/hJf//o3+Pa3vl2YBy03Lbv7mqbhRWZSxnEsXXCHw6GYgp5Ox9K1plYKmue2Wq14fn5mu91KR9+i9V+9i5ZdqCklqqZhGvriF/Xhhx/StB1jhMPxxNXVFZvNpuTyvX79mufn58KuqBgbwFhH5Szr9eqs/KXXvLJSKpK31nLYP7O9uKA/9bx+/Sm3tyK4d84CIsQ3GKZRLBxICZctCaT6IaX6i4stT09PTFNgt/NcXV0XvZOApyOuqs+YLY2UUXH20nfr9vYWY0w51rYVlkgtB7p2xTgNpWS5Wq2wCSrrSnlTgQ5wzv6cMUh58Zld8VVjazObB8zdh5mpL53u+TP0Mb2G1D1/6V2muiuNR4LFgpLziosxhsfdjtdv3nzZt8aXur0zgCpluk9dW11mAqQMBU3lMvBwbFYNm7Zms6q5WDU0VcWqkbZ9cfs2uKK3TRgCMejFFXIHW5VLbMLy9GOf1bw2f26dma25oyHmyS6Q8CEw+JGmdlRjZN3WTF3DQLYBCB5nLOtuxaZb0dQ1IXj6YWC/P4lRXNuyudgStx3TVJUL1ljLquvo1mvabkXTdRJQrNqWlPBRsuuMm4jGE40UKn0aCYxEEwgEKltBZXBNRd01MomO0s7q+1E0TwdLUzesu5XKzsF5KesZi2s7sBUx1ZgKJg/GOFKUSB0fIn4SQEMyYOPcSGBmfVTM+rF+mHh8PtAPPSEuVlUsOj2CZBimmMtdMWZKXUTbhoQPJpfcAiFT4CH7QWkpT5gnw4yjpMwXU6IyMkgsV1pvU+YGea1g7Cy2z4DKLp93VuqbS37nIs35OMV5H7wPJTpjqcPS99TBZhnL4Kx0aCojJcxRVpdlQCThz2KO6JyT51uXrx/wmb5PMZbXSbKOlHRDLntaa4iecg5ihOfD735m1lfbj99+4W/8df6Nv/Bvst1uS4lou1UQIAaVm82GV69ecXd3VwCJlpxIiVe3NxyPR9pXrzgdpctqWea7u7sr3W6bzYanp6dy/V9dXZFSKqBGu+5CCNl4WUpxP/WNb7G9vOI3fuM3itno5eUlj4+PvPfeezjn+N73vleE9YfDoVgGCFCxcJR7rMoSD5g77PTeCSEQxgEfROO6Wq/PPKPkeVGMlY1hs14xlBDixKpbsV5veX7eZX+9E+M04qqK29tbIPH4+MhqsyFZw+Q9VY6e0TIfzJ5Sem9rp6MK1IsGOIPSFy9eFF3a07M4s6eUGE89JsFoTAG7KaUCXpadcuatsUq/q3Gcs/q6TmyATqdTAX+n/oTPv1+WG890aJ+h49RN9XnKyOniVaUF+v3fPT6y+z3QxffjtncCUBko+imTheHOycVU5yDhdVuzXTWs24rNqpG/NxVX2462qVl3IqbWcp85ozslwsP7iRC9CKyNKS36ySTqymoFDVDtVBZgQ+mG0OenlGi7ihAiVRu53K64udhwPOwhBa4utiQfuP/0jk1Tl5bf4+HEbrfnOAysY8Q1DeZyhY+RkNtKm3xxG+tEr2S0BGmKqF5Cfi3GprJPPnlCCkSjE2rEx8AwjYx+oI5yun30nIae/nRiClJ2vLyoiY3ouwwjzkZcLvlNPol2rNFJW8BllcDFimns8eOEDzEDBUNMI3XdYp2U43wIjMHTDxPP+wOfvnnDfn8gkqndzJQUQJVLrbM+KYvzXSX+SSlhrQwcMYmFA2qumbkjKSdmUOLsGQCpnKWtms9kp5Qe14H5bWGn/PwogBL26ByQwbnQcn4vk4/BY/25y3q5K0w+14vVPsiKVLoxXW5ioFznwvRpR14l/7ZK0au+ylAHaIyZmwmy/ky7AUPuGFLjPzVqv99/xU79Xtmenh75W3/7b/Bn/5U/V0p0Olkqy9Q0DXd3d6WElpKAghQD++dnjvtdAfZXV5e0rTAoCmy6risdg8WZe1Fum61DKN12OqH2w4hxFV0tBpzr9bowUHVd8+LFixLMrCLupyfJulOvJ/FVCnTdihR9KSPppA/z/eecJFrEkPenazHW8Pz4xPvvv89u91y6AI01TMOUx5qIMQ2JxO75WUxGL7bc3d1hjeXl7UtClFLq9c0t3XrF4/NTKZ+uVqvyXRkjTuHGGLbbbRmTFMReXV3NHYjZnV5BTEqJaQyMQw9RZoSlYBzO2Wj9LvQ7UMClY6wATnkPbR7Q89e2Laehx+Vz8XY3oYLbJbhSAfpS26UlXS396XWi+3Hqe17f3zP9Huni+3HbOwOoVo20ecuNCLULtI1h3VU0jaNrsxC9qVm1NW0lnXO1E8PMykkXnMa0FNF5rm9XlYO0yvlFvnxyzDUP6xrR32RmxKBg6tzJWpvdjbVUdSMlpf+HvXeLuS07r4TGvK3bvv7XU3WqKjZx0hC6W1EjteU08ACiO424NEE03UKtRgLRTwgh8QRPSP0KjXhCCuIFicsLPCBA6rhNkg5OHMc26ZCmE3C57HJVnXPq/Jd9X5d54+Gb31zrP87FiSv2qaozJauO/8ve+997rTnHN77xjaElYqgQ1isE5yAQUBYF5rMapVHYbbY4HY5wweP+fovbuzu4GKBVgRiIDYMAZIpu0WWJsmlgqgqQCjExKohxHFzTOrEJElIa8tQqSihTQCF3vCsAACAASURBVBlDLAMAeI+262FOHaKgCY2ua5PgsoMuKpTVDM1siaKsECHQ9x5SxKSXApQOCMLDwUI4D0ySxuE9nCMGMATmAwERPJmHeoe2d9gfW+wPJxyOJ+z2B9zeb3E47JNYjhgsEomLJHgftVUAIBhQSZqmiWDxNpIYnFt3avzck2BdiAipVapeTaLdJYrkAM8aBghqp+UqCniwUXEVNr22pBwtBaYbuBCjFcRD4MU/w9OLFL0TJjoHem+5GEiAb0LZEyQiHRXRlOTLJcUE7El2nn84UUPATeSNFDE5yKeWeYwR0XsYIWDS3yxihAVtpLvDK0PPj9P6/775/+Lq69f4M3/6z0JrnbU8s9kMVVXlguX8/JwYCk12MafjET5l8wHAG2+8kcDNAev1Gvf395kNmjIOdV3nA9N7j67rcDgc8v3DU8rWWmhTYnc4wHliusqSxOoAMmPEVgBt22Y7AS50+JA/Pz8nxqYfAR2DwxAC6XFixMXFGTF1IcAYYqWNMViuyDF+vV7h6uoKh8OBXjNoTzJSwVuH02BR1RW0Uri7u4OUElVVo2tPMGWF1fkFoiA90Ww2w36/xzAMOBwO6PsOs9k8T+nxZCS3IbmgYtbmxWDk0+mEtm3hvYO3Awo9upzz+82AFRhBJH8OAHJ7j/du7rwYU2aQpJSCAXBsTwiprThlmfg9ZfE675VTywMOQ2aAxs/JLWFuF273ezz7mLf4XlwvBaCSUmA5S+aaSsEUGlVRoKkKVJVBpRUKI1BqhboyaAqDUktILVAoASNBB3sIGLo+HUAEslT6wHvEJOrFgzaPlmk8HBFKUuQIWTkqUuuCDkalZBZJExORRNu6wEqRhwe1nRwQaCJGwiPaAQ6A7Tt0g8Vxf0DXdvAhYqd3KAuD+1rmPjTn58VAoE6bAtaPXkksZWKhvncsn1eI0BBCQ0gDCI0AAW89lHLoeoeILk2lDLDWw0eBs+Ul1ucXWK2WUKDRXDv0CIGAoVYKphRQUQKWWo2RJ2OkhAA5BDtP33Pew/kOLggEHOAgcOoG3N5v8d6Tp/jOd9/Dk5tbHLseg+PJOPqbIMZhASBNj6ikpmNwojQ0DH02SoO1+VpJKE0mcSK9QWwaqhQJypUiXxZm3jjkmFkbAZE8mhSkmNhXpE3dGAPnHYIPSeA/giuy6DD5upq6H0+BEpBaec7R36Wn4u+RnbLOJvA8ArvRnBRkWiofAkDFwd8snJ+AqBg8kV4J0Pm0mdJmTJN+MuU6spaNwZZO6NHFiN2ryJmP3frVX/s/0TQNrq8ogJfbS8MwYL1e58M7eI/bu9vs03R5eYnTiRhJ9g/S2qAsDHa7XT7QpyG+7NTO2X3MkvDYPHUdDJqqwfn6DLv9HtvtNovl2U+qbdsMnpbLZdZzsTs6tye11tkk0zoPxICmqTOrowty+9ZKoW3J7mBwFk2zQN93ObsvRCqmT6dTBn7BOUTvAIxay65t4Q8HLJcrQArs9ns08wVkUUAmuwMGSYvFIoUnO1xeXoKL8xhjFqfzz08NL2OM2G631D5MoNZ7iurp+w6DSDrbyYQvywI4N5Ad64HRzHWqWZqCMecsug5YLBa5cDeTx8mO9wkMTaeN+TNt2zabgzILyTYa3IbM2YFS4v1nz7BJIdmfpPVSACpjNF67XAJCpHaGRmE0qkqjqUqUxqApNQojURUGValQKAkpqbIuhEpj+klszQJmpBZV8Nm8jSdZBCJiSNll2Tk7tdGEQEw3ETEv1EpiCY2SgNYKRamhdQWIAk4JWBnhfICIIhkkqiwit85DCYGqLLCYL+BCgFEafd/h5uYOxuhU8amcRbXb7fIYMNPgtNlJDL1N3lwkHPTe43iyOPUeXR/R9h5tG3A6nlDXAYMFisKAz+2qqjGblXj02ptYL5eYNXMMfY9+IPfzfugSnSvQwKDR1H70zqLtemq9GQ3vHIa+xzBYDM6h6we0XY/eOuwOJ1gf0XUWm8MBN3f3uLm9xWG/h3UWMSZrigRyAGJflBj1cyyIZx+pgqswqSFSFmNhdNbNScHAmVqAStLnIFUCGqmVJqKAjPxZT7ROYgJIhICQGiEkHZIp4B1P5+weMF4UMEo6MgGFpi6zXok+vwJGa1jnMAw9pCqyHkrK0TTTe582teTCnlB0HzwCPLxPrvFJSwYhEaEgpAbHBCkpEaKfbHwTqxBJfwsiKIsQAaTGS+HfSkwOSFI28nAHAGwOr/RTH8f1lV//Vfzr/9pfhfc+T/XN5/M8lYcYUKRp3BwQnA7Fm5ubnMsWY0QzoylAPlBZcM0MBTMhzlGMzINJLgjc395j1tAUobcECtjiIYSQRfPc0nvRp4jF3EKM5pns3UQ6sRlFXjmLQk6E1s5hSIaXXds/aFGaNPxzOOzzfWiKIhfhrAEDSNRflgVCBM4ur1HPZhn8VFWFu7u7PCnJLBoDvP1+ByFkZuK4pccWKPw1pRQWi0XODIzRZwacRd7Ru6xr4kKOWSRmjdjGga2DpnpMABk0SSlx6jp6zyYsIkDEwfF4fPAcWZPmx3grvj6mrcZxsIW0bF3f472nT9H1n0ym+6UAVFpJXK/nxB5oDaMVtNHJjJLy51aLGaSIKDS5oqsEhLQizc6LUyV8ofGFM/2Ayck6VeZSAIrjA6gFFECj+87RDU7I3KfDWUAogSgC4AHrWkTRk8YneKgQIBChFb1+cldPrJhUqMoKy1VyF4pA8BbODhj6Po31k7eRNgZ1XY00fJouYZqdR11pCi7kLKvDYY/dbo/dbov9/oD94YC6bjFrelRVCaMNZvMGy+UcF5dXmC/PUTczykV0PZwHrAfa3mPoB8znM0hdomzmMKaAUB02hxOicLi/bdGlKZTT6YR+GNB1PY5dBzt43N1v4CIwWIdT1+NwOuHU9RSBoBQKxaHLksKfhYQWiWkBjSDL9G+VqDkhNbU7DaWaC2UgdEERQhlQeQhBuXqU3D5hbgCQOCsCIf+/ZOEQs2CcN+5CkahfCJHCnwsUhYT3KrWHqfUmJVCWGkVRAhCJJqfWIrfuyOxUQYoCMnJrUqbswTRNo2S6dhNtz1jfK0iQrYEERzClFrlgIJX0hwIILiBYhxiTrcJkzLmsyMnaOZcnjIAxbDkzFpPNOoKA9vaVIP1juQ6HA778q7+Cv/gv/CyASRRTCGiqEpv7eyDlujG7we2q+XyO+XyO58+fj+G/KStSCDIJZeuE5XKZbQumTAn5WAl0pw52sOhVD6Ek5ssFur7H48ePcXt7mzVUx+Mxs2J84PPjMAvDJqIxxuzRpLXG7nCAEMgtTW45UnxLAWsHHNsTlvM5ioKE16fTCcf2hNPphPV6jaIg6wSpNKKz+Sxh9kUZA2VKdH2P0+mE8/Pz7NLOnlfUEqxwc3OTQQb5e4U8wchib74H7+/vM7giU9Ij2vaUAQ635YqiQAwaru8yM8Vtuek0IQPBsiwfnInTqT/SbBl0bkxGYGDE7z/LGphRA0j0z4CUWaypFpRfAwvwN7sd3nv69Idzwf+I1ksBqKQAZoYOLArYTWHFCjAywmhBQEqRZoqKlQgRExMVQa2YSAaQ05FzBljc3mAB4HhxaXhk4oa0JEqDxMDJuwMeIqp0OANKJRt/76CUhlAKMgJR0gQg0bEDhuBQ1TWU1ICQEBrQUCgSaHM+YOgDnBcILqDvuuSGmzYQY8j7KLVjpjoagPQ3AmQ6yonf3jv0/YC2Iwq2a3vstz20PmG+mGG5WELKGl0v4EMB7yJ6S1EFu90Rx/0Jx8MRu+0OXd+jtwE2KARBrvDdMODJ0+c4tCfcP79DP3Q47g9o2xMGO8DZgMFZeB8wpLYW2RpEyAg0VQnZzAGQwDwLwJVKDuuUfyggUCidzFWpCZtdyyFQlAFKJ4ArHJy3CJDk/irHwGBPCXfJK0bkyTwVZU6NiRjDPvPgATCCiYh8IGijYVQBIYimd55Yo4gAP3RobZ9ocENtW6kyiEsEGE2GCpnZK2LZA1ksJFCnFSWxh+TerrQEBLU4EacbIzGgWo3MWgyBtBaB2zQ6b24iAS4pJYwqoKTAMJCGKwtkJ60JmijU9DeEiO0rhupju97+1jdx/o1zfP7PfwFFUeB0OmE1nyOEgNVqhbu7u+wdVVUUCcOGjO+8806+R+hAFVguV3TfJzZrKgjnx2AWwyiD4McMub7vsVivsumnT7/DjuabzQb7/T5nDs7ntGewnopbl13XZd+m2ayBNsT6c+SLMSa38UII0EaTrME5HNsWVWLknj9/TlmA5+dQkkDdMAwwRYFyNkN3PKSiSiMqjaCLdJ+N7BmDIikl7u7uMvBQSuWcRHpNMovfz87OcpHMezi9R8AwdABCBlPW2txOrKqKsv8GAkcMqLLxc3puBkP8XvB9zY8HIDN8jdaIokbf9w+Cseu6RoyUgfjAB3ACvpmBYraSizcGU8YYvPfOOz+U6/xHuV4KQKWVxPX5gjXXZG6I5G0EQEYBO7TwQsArtlIggEMi2jSRBAUtgZzJBsAHAlEquY5PJwykJE2Nx9TFOkBInnAijyr2SpRCJY8rai8VWkDAgIX0EBLQEiGobAEgIo2xU7gwYD2Nydvg4UJEsBaI5NNUFGXO+osxIni2D+AJLhJre+/Rdi1C0EBUqf9PGhlqZ0oIGDR1icXsHGxbIISAdxKno8OHz7awQ8B2u6HH9RF2GDD0Hbq2w3F/xPF0AsRTzOcLLFZLlHWFwXm8/e13sD/s0R7J8ZyEhy6LnEOgMGvyvWFdUmLVlIIQOmuGuFrSUpEwH6TnIfsG0j5opWAkAZDoHSIApV2eBGU6HRhBEN/wIRALJCft14gACQUp9OTnRnEnMKGq0zVjrUUUInmFOcQAFIYYVH5eZqYEa7QQgMDAXoHgNoP21Fbj5/eAAye5x1GkrpJmDwJeSngBBH6vSZEOowsYo5OPToS1pOeLPkBpDS1VagNGeOfR+RaGNXtKIWYGAeSsLyWBLsW6qgTWpHzV8vuYr9/42lfx5ptvYb06Q/AOTVlk0MOsxYcffojr6+vk0k2aKGYf2DdJa42yooN2uVxmZuJ4PGbdjfcezjosZgsM7QBV0CG7WC5xd3+Hu7u7LJR/++23USY2ngHZG2+8kVknBnLT+5zDhE+nE4rSYL5oEAI5kZ+fn2fmbL1eZwsFnmatqooyCIsCwXtcXV1lOwMbaSLt6uoK+/0eyhhIbWC0goVEaz180nuxtxdrxJjZZW3XxcVFBqncTnWOWDY+hzabDYQQ2Gw2iXELWK2I6WOxOE/JTVkmjqwJ6T3h1iY/9jAM2Z2cCypmw/gz5/2P267b5P5eluVkiIXebwZpDMbZFBQYW6L82fHzWWvR9T2+88EHP4zL+0e+XgpAZbTC9cUqAyoAxOiIpHdJ/6W2XcxVvJSSUrW9w9AOWTRXJK1RYSgb79S1yaCT0rGF5HBHQxN76VAGkC80bn2wbml64LoQYX3E7jgA0WM2K1GXBUQMiN4DCNCSbBesc+nfMgEfh35wcCn4VyAmHY1GXZQIzSxrGGwSuWf6NU+AESvXdwEyATGKO6DwZcd/K8Soz8EYYGltwGHf4nQ64MmTJLhOLIR3Hs5aWOvQth36vsd2f4C6uQEk6dOe3TxH1/bUxpIUVVNWTWq5jnSx0ZpYpSRip9bR6DAOCWiVUs0FA4cEHxI7Y7JGSiVTVgUgZRhOqGsGVsyy8LVA/yMHdyF5SMEA0QLwRBmBgAt5n5FHGQQxf3TNxDzZqJVCWSrESJmJ9PdR5FFZFjCmSFQ4jVyHECHl6GBOYloP6znuhxhIlVrZIZB/TZQxvV7KVPQ+bYROJVAZUxvEwBRFYvtkMmjsAcSczzYVqgb26QoKShhoo5NpoRvZuSy2Z3dl0iruX7X7PhHr733pi/jr/8Zfg/PjQcnGnsfjEev1OkfC8Oj7tM3D0oq+78knr2vz1BgDIjbajT5iu9miLEtqZ2kN6yzarkPTNGA7h7IssVwu8328Xq/JviGxGzHGrCk9OzvDO++8g/l8ngBZBaXlg5H/58+f52uY2RsGANpo7LdbnJ2dkUO8D1lnVJYlnjx5Am9dfq5hGNDaAbpZI7oAn1gYZoaY0XHOZRsJBor8vszn8wz+QmKQldLYbDY4OzubxM7QZ8S5i8fkzcQaNjZY5TafEAK6KFDVzYPikIXvzBgxQJp6P/F+ycNQ7E9WlSXsZNqQNVvMdvPeOh22mbrhA+OU4f1uhw+ePfvhXdw/4vVSAColBRazGiGMI56c6cbaDxIm0xSYNjqjcTsMCGkUeCqQ4ymlEAIgBUIUiA+8gyR8DAh2gB+6LA6UkhgR0nLRIcWTLtNDBkDyRvI4HE/o+g6k9Y1JQEhskQQgg4fAQMJqT0J3AQlIAaPGj0ApBZ2AiJIS2lpYl4R+AIVzpopAK42usOmsJ60WUe4kyJZCj5EBggBCTHl2fLFb2yN4ooS9MTCKnrcwBbQyKAq6sQbnCLQOA3prYQoDbQoojN5Oo8ZLZXYJAsmmIuT3PEYCfBHIrFG2LWB2CKD+KZBCqpP+CDK3x7xnBmmKwkcfFtYZsKaArw2mrJUc9UGE18m3i8Ktx1BipQy0kfBKwjnaCA87irvgKTulJIIQGBDgU7u2LDWCJx8eApSAtQ7ODbBJ3MrX9vgecFZg2uykIB82YxK4k4hRJqHs2M6m30sTqd6jLgrURQFTFCiKkoCWtQhSQhYGSnMKPAntBUQyW6S/3zmXgmBV+gzp9eyOownrq/XxXfv9Dr/4y7+If/Vf+lfy4VynrE2lFJpkeDkMQxZ9A8i2BXVdZ11Q13Vo2x5FMWamWmthlMGsnuEYjrlANWWB9dkZvvWtb+XpvRgjfvxzn8umnvyYSinsdjscDge89dZbiDFm76n33nsPNOnXk5mzUdkygAtjBg8xxqyhYsnHYrGAEpL0U22L5XqF8/UZNluayCvLEno2w3y+wGazQd93KAqNoW8BWWRwwy1OFrdPcxOBkdlmIKeUwtnZGfb7fQYpDHCEALSWNIWY9odp9iA/Jxua9n2fp+aapklRUhHO2fx7IyM2tiJzVl/KduT9kv3JAMqVcNbCpMEAfk+nnmIMVKfymanmqu97PL25we39/Q/jkn5p1ssBqJTEYj5LI/09AIFqRtVL1/UwhUmsCzETfECy506MPBb/cAphKsBjqvMBkp7oRqYW+MB4M/jgMJs3YwsucOAuACFQlAbD0KPvLWSS8BAz4fIUDOlwJLxnHynqTSMKRLg0ZYbsgzSdOlPptYcQUm4gH7YymZ6ODIVzA6xlQ0wPlabgZBI9hxChIsMdgUrVACoQVAE4DFmlFlEEYJ3DqevQ2wGFNyhDQGlLRE9tKKN0bkuRrg0pIkcmlkpl/yyA2rkmKIqokawNSyP+YWrCR21dnR5LCpHeOwLHMumv+PMCiNkaxZbxwec/FWECEcGP4ICvFb4WmL4mBkjmr43agIY0SnnKhTyglFDQkgxgjVKAAqxMIDcGEstjFJwH72j61I3Pz69TCEAI8tCKWStIY+EyxSuRBYIAOcVTlI+1lrRemgCyiJG+N1gE5xHhEV1EsA6oIhQEafUUBTEPga55GZGmDUl/JpTA9vAqw++Tsr75rW/iG7/5DXzh81/AZrPJLToWeXPBOpvNME86K5704vy5PAAUYxKpU3tQRgnvPBlf8l6sFE5ti5vbW1xcUPCxEALrszM8efIkZ/fxZOBiscD5+TkuLy9zph/nCJ6fn2O73SCCLBK4ncfnBzNEwEPhdIwxs24REd6TFEMbAxc85rMlfLCZrdvtd/DeIiLkIGkhNQ6nEehwG47BCoOJqWCfgVzTNA9ez2Zzj7pukkA9ZLaLzyM+49iH6vLyMsfRWGtzzA23YLUxgBsBXNM0qKoKm80m+18Nw/AAIDMo4rYfG6hG7zNrxlq46eLCnoHlNOi4HwZ88OwZuuHTV4C9FICKTNk6qETfsqAxJm1SzABBInqP04lu7Kqq6cBBAETMZoZCACFSO6YydR5Xj3YUq49Mz9gD5smEqYnZVLz34mhwWTbwLsBaCh3WWkEbiRBoNJ6pUWKKFAFCHyClgVaUEeUGulC997DDWE1wK0oxgxVpA+jS9wlwBTjbo+vIp4RF+ayB8S4gBpXc1Pmg5jF9Ev2HxPjE1IaLSQQdhcJgLVxqYSoS1UBEAR8FtNSQYgwLnlYuQtBUowDrkR46iIcQMHhLvlPgRh8QRUSIacpRFjCaHe1prD+prvIo8xQwTYEVAJR6rMDoRk+tSPC0n3rweU4rrGkEzPR6GVsdFiplHFLU12ii5xwZj3oZEhBUSEpyCG0gIVCWo5fLqNuizzcEmb1n2E5CCgGPFNocfWbv+FDzPrWqg0MIPum1YhYIT/2mylJDG5X/HiUBkUTuQkqU2qAy4/Xvg4cLpPt7drf9o9/cr9ZLu37pV34ZP/1nfxqz2Qx932cvPKXIufxwoFDf+XyOu7s7ABhz5ZJbedu2WC6XEEKgPR4gwmjgaK1FVdcQUuB4OmaWabFYIISAD1MILsethBBwOB5RNzVMUeDi4iKzUX0as5dSYrvboO1OWK1WWTw+m82wWCzw9ttvwxhKpri/v8+ggsN727altpW1uL+/xyrpv7q+R3BUCLPwfbffoK5K6BQk7L3H8bCDtaMYfdxfxsw8IUTOImTtk3OOhoRSq5MBXwgRh8Muu6Yzg7Tf73OOKwPG4/GYn4uB29SWgir6cRoSGCd3+f1rmiazaXVdp9cwMkwM1gRiThthHRY/Jhf4Lxaih8MBm90OT54//+FdxC/ZeikAVQgB2z2J/KqqpIt9t83TD845+LTph9Ti4sBga3uwCeTUyEwIYlCUlggIcN5icANCTPl2gkeHR50UM1jc/osx5pwlflzuSQPJULIsoDWxQKagNkoIFl1nMvVKTJFB8BHWegACWhdA8PB6ai45UtVsisZf4143mUZaHNtTAo/k2C6lTAeny1EsUrGeCWDGBvAQMkIKBVPUCCEZykWWPkcgOFhPOgeZNFJSKbjggUBGmY3S4IY/TcklBi/STWc7Fk+mPjseCr/LuiRNWAzwNmXxuSSIVhTeGzy11TzG4F4lJZyPD9g/ABlQTUXl/Dnx8/LGYVI0C3+meUCBK+6JizCDEa74jDGYz8v8mNP/5cc3LDjlK5xYKmtJ+1RWBt7LNFRAbdjp74vkwE4u7PTfEASgBJQ0CciZXF0668lJHlQgqDSlaq3PND1vrHVjHrRZ+fpggX8M6XWAwKYUadoyAve7VxqqT9rabDZZOM2tq/1+n+8jjj9ZLpcPxMxlWeafM8bAB4f5coHD7pCK3QoueJR1lZzCaS/kQ/yQ8vj2+z2qqsJutyP2uiwQYsRmt8VxR07ju90OQggslgt0XQshyAuK79epR9Zrr72G29tbnJ2dpbYgWQYwoOJ7Zrlc4vz8HH3bYRgo3kZrDS1o32iaGs5Ru19CZJF5nzz3mkWR30Pep9frddaCbbdb1HWNR48ePZgE7LpuMs2nUNcldrtNBivsoD5t8/FwAL9X/PVpO5aNT0MEWT0kAMbgauoRxbo4YDQMZlZsai6K4DH0fY6jmk72vTjdGGPE05sb3G8/3UXXSwGoIgAXIwopIU1BvkyTnrSQEsG6DDRobLREjB7Hwz6xRRQJ4DyJqoUQKFN2Et/08/k8Vx90QRv4wcLakA5SD2uH9PNFAnOjyR234QCkC9A/6IGH6OEctWCGoc8XK4l8dbqoRWIiPGQMqWVJzrchjMZr3IefggGAgENdVzCFhPfkXaVUJNNOlGnMnvgcISKUJsE1vbbUoooRUhmUZYOYbqIYYg6mFqB2T92UgCRBuwsUBm28R1UbNF7nabSQQAFtuKQraOaL8XWnFiVpreiw99Hn1pfz1LLKCfJCoCxMBpnOpeTzCJTzBkIiv1fA2B6daqWmEyrTSRQaWqAg6un7yj43DGj5cAHw4PPn6y9HwggGPsUD/cCLLWcWxjpn4f3YujWFyZ81T8545xBlMp0FC+6RhPsBItl35L8z0vUkANLfKQ1rHezQY+hpYzZlhaIsMJsVE2YrwDmaOiKWMtIUa55WmuZ3OdxsDx/RHf9qvSzrl7/89/Ev/sW/nBkMBg1KUQ4dMyL7/R4A8s8dDofsqE57C43Pry/PcNodyTolsRhXV1fE+Ox2sNbi6dOn6Ps+58GVZQlTljicjrhsKLqGBenX19e4v79HiAF9T9ErzIpYa7Oou23bPCX3+PFj9H2Pi4sLbLdbHA6HXCRzjEoIAbvdDl3XwSjKZL24WGEYWvS7U95bttsd5rMZBAQByABUZY3ri3PsT13eK6jQpf3i3XffzXo0brHxuUGtVIGmmWcQS4zyQ+kBs1rb7TYDHdawsVXBYrHIPmHccqvrGoOScJ1E254oYix5R7H31YsaLx444LNsOklI1hAswxgd8aei9Lbr8O777+PUvSq4Xg5AFdN4e+pnQwiUlUdRmKxf6pL5mnMSdV1hPq+BCBwPe9IP2QF9b9KN2kNrhcbOMJvNUkVAnlCz2QzBEyNiqgpluvDZjE0ne4WypIBi9uDgEdSu63O7jafwvEuWBS5NbaX4Eq01um6AtQ6ARdR8ERN4UkhxN5KzsGzeYJpmBucshBjN36ajrlIySAMAMg3VOoEwH8mUNHoUskBZlBhsByE6aE3ThlJqKJmc4VM7jXVUmj2vBNlODN5BuIgoOFhYY+YpQJeyEJNlQD7cY9KCsdaMyKxsLhmB1g7gsF4xAQcI1PZjckcmdi0EaoNVVYWun7Y9x3w6gKbvxkmX5LfETslpA2HhPIPt6eNM3YH5c+HFI8xMd/MG+OK0i3M+6daYAZKZbYUY285T8MYmmwwIXxyAoEkn+jyMpgPAGHJTn/6u1kViSHu07QnO0uYYQwBCgO0HxNS6DIEDuS1NTQqRWrxI7JzPrXWtNW63rzRUn7T17e98G1/+XwAZqgAAIABJREFUyq/iZz7/hayX4fDepmnQNA02m02+N8qyzIe9UhKnlnRNx+MxdRgqzFZzmN5it9tlEbuUErv9Hqe2zdKK0+lE7TfnoFKA/Ol0QlVVZIVQFNiFCGsH0vVJ5HuS2/W8N4YQUNc1njx5gp/6qZ/K+7VNrT1mdabWBsyaueCTZmoL5wYUVQWV9E9KajgX8PTZc8TAhRx5BkZnIYsy/328V1xeXsJ7j2dpuq3rOlxeXmbNVVFUuR3Imqq+H9A05Ae13W4f2Bxwt4Lfd3aJ58iXw+GA1WoFFqIrpdBDoG1PmZVjcXxVVfm18mfMTB6D5wfTgglcsYSK9yRuD9/vdvjOd787nQv6VK+XAlABAkFI+AgMKRMPUsIUJbQyGGyfDo0e3pPPRZmo29JQlVQWNPbqrSO1UCAX9fl8lnrALWJw6LsT+p5yoOww4Nj3GfyMU1MjyPHeZyM5ag+FdFMYABIU1BtyCC8ZOHKlQQCHbrSQGC2b3YbrooCfjC4bYybiPjdhuGKuGorCpJ64pYBmTRWPcwE+VZbUuCMAdjweE93tIJKYOYQAD0CGMWQ0xgilFWJAMhYlz6tuGGCDZ4MoKCVhECEjmVmSfUU6+IVEFIBL7I6UMumsZBLcZ4tLciAXABHqPDGXdFCCk8s9vb9ZhyYSBT4CzOkwwRSAMLtJ48JI72tAjDUKPQpqGdQwDT9ts/LP8HPzZjXVTEzbirx5leUYI8Nt2L63cE6hLIv8eLz4sx2ZI5+zyqat7AgawBACiENA13cQAvCegBEyLEYGdowHvfewboA98NdHvQcDyhd1bs5a+PSZ325PCTy/Wp+09Vu//Vv4iR//HD77mc9CKYo8YZYKQHYAr2syfby9vcXrr78GpSXmixmOx2MGBvlaAu2fzLC4yWQZ+1SFGFAnc85hGHBxcYGu67DZbAj4OIfOhzS4QvfMarXKFgzH4xHX19dZm8T35/vvv5+lGcxIcZurqqpsRcDFlrUDlBHoe3ocuVA4ti22m022bFBaIQSDopDZb2nW1GjmC1xeP8paL36+zWaTdVH8XzpHIm5vb7N8g4szmrotUrt/3HfYzgFA/my4eGJTVH7PlVJ49uwZ1uszuAAIZVBVwH6/B1snsHheSspFfHFCkUHbVILAgwcsfud96r0nT/A8aeteLVovCaBC8icS8AGIQqJI1Y4pCFD1yeJ/GHoYo7BYzGC0IUClFep04YXU0iqMwXq5wqxuYCQ5U5NhKLVOIgDnBvR9ly7oOeq6zIegTBlQvKlMD1w+LN9//30sFouM8o/H9sG0A09H8CEppULfp4tXku8Tizf5xpqyH6zrOp1O2bqBq0Dy5WIWQQNQuY3FIIF1QCSYJ2ZJCAJMQ99h6F1mb4QQkEEiiDEGwRiDUleQzsKFUSyvBBBBYaohBgQvIVLmXgS1S4vZLLuI88pMDgDNFg6IEAEAQjLdjKmFpiZaolF07r2HVCnAegJKpqBgmqrOnx+BWYqi4fd4SsMbYzKDxSJMBlFMkSuleJjxgVZrCsQZCPFr4sp+1Coocr9/YfKQjRO5ZTjdnLmq9MmklEW3bHR4OBxwPNJ4eqL0IBRQVBqFKTGbzekwUwIROoXEurx5I5IgXgiB+Xz+wBiQK+PNYfMD3N2v1su+fuFLX8S//Tf+JuYzmujj4o51hCzo9t5jPqcYqu12g2ZWZ7aCWaLT6YTB0lCOSgNBxhicnZ1lrQ8AbG/20One4jbcYkFWBWVRIkqFalajrisMts8/ByCLu/m+49fJxQrfP7wfVFWF9XqN3W6XtUUyt9WT43fSfm23WyilMJvP0aeoLGaJZs2M9rd0j+w2G7z73fdg0v+fzWZ5j+YzACBmq21HKQAL7XkvIjCoMQxdlhZMjTp5EIAF/HxOWWtxeXk5MUQ1aFtiGHvrEOyQ90F+Xu7I7Pd70CR9l4ESvdaRqeefN0rCJ33lYC0+ePYMx/YVY/3iEvElqDqFEN/zIgqj8NrFEm88OsP5vMCsBGalwKqWeHy9xvn5OcqywN2zu1wFAMDd3V2OTLi8vETTNBlxM0Ci8VeBbhhwSNXK+fk55vN5rpbq1B601uagYjZbYwO6+80tyqJCVZEP1vPnFJmgtcFqtUZdV/CegEhZFpBS5YkNrRRO+0M+NNmkjoAAtYj6vkff9TgcDuj6Hk3d4OLigozrbt+HkjrHQGy3e+x3R8Qk2me63toBECGJOJF0CB5dS5vfYrGAECLT4+xvxJT7VLzIoMXUJBydMjssbOSBARGTJqgfoJSmqUCelBM0Vm3t2OICAB8dICgsW7DGKUbExPwBgJ2wLrym7TkGkdPv0eZJLveIZF7KG+40DX3qZcM+LwCyzxYQYRJDOH2eqTCWD6EQ4vh7MWaTVGbfpoza+BpHkDXdNJlNKkrenMNk0uZhaCwBIZvbNvP5PB88WkQMPbXOfQwQksObI/lNeQ9jKP6DDgh6r5RU+B/+7m/if/vy//PHur9jjOIP/6mP9/q99rCP4/rC57+Af+qn/1xmQ9ilm9v6VByOcSNlWcA6i+ORvJ6WyyXatiVD4O0WIcSUMEHM7vF0wm6/x/psDZeAFt8zTdMgOJ/96JgJYU3pfD7DqT1mMTy39R4/fjxG2Hif923+uWmrLGcNhggbLNq2zWcEdy2Cp3sjeNIl1mUFawfMF3OKfOm6lGiBtO8ZDNbh2LU5NLqua5yfn6NtyeT3cCD94TS6hfeRtqXfM8Zgt9ulv63DcrnMhR6z9F3X4e7uLhX9MmmrLJpmlsHmer3OOquu67DbbtAedvms4fbfi/sXC9OnbvTAuPff7Q+4P3w6dZTf7x720jBUL67Berz79B7vPv1eYzCtBK7P53jtfI7PXjb03zcELpZVrvCBST7bRCfDLAQfaFzRTE3Opj87be3w4c9VRlEYmIKE1iySFimjjTaBEsOADKqkJPM2ABBR5KqONxvOpWLQ1jQ1isKgKB96wgACuwMdeGT0JvHs2Q2eP3+OoihxdXWF5XKZxoV3aLtTrny8tzCmgFJ0WLOZHsc4lGWJsmwwn8/ye0OgmwwOaMpjAAQf+g5d11LulTGo6ybTy4F4LBSFQlmRydxpOCK6capQG4MyGVBWVQkffRarxhiofkwarBgDTUmKh1ORL074TadRmB2i918kj67vneKbMovTKUvWexB4Eej67nuuFT4QmE6fim0ZzJB2KmQvnVz5pY1sOjXDBwn/XZlt9CFP9/G0EhcAfH1SpSmgNZugEnB1TgCaPsNpUn0W5WuVfq9AjDQhGAJd/6fTEd958ukdhf40ra989SuYz+b4x3/yT2W/JAoBH6enr66ucDjs88BOURbZaoGF2NP2Xj/0UJKmhHs74Or6KjO2XddhtVph6HsUSqMdqB011SVprXPbTAqZRd7cwpvNZlBK4enTp7mlR8M7NW5vb1Mbntzg7+7uUGqTPQV5gi63uwVljwpH+8TV1RXcYNH3A4beQQoHa8lXTgiWdmgUEBRsD+TC7Nmz57lbACADHApI9vm+5+lAtq6gfUeOzu5pv2H5BhdvZJsww3yu0mRik0EWANzc3MA5h91uh6YqUAjk/YeLNN43xn2e1lTnOViHDzcbdC+4ob9a37teWkD1By3nIz54vscHz/f4xu+OX5dC4HxRYt1oXK5q/GNvnvD4coXLVY3LZZ0PQaZaTVXmCubF1g0LCPkwHvUw44g86Zw0QgxZeM2V01RczIe3EMgHKyKH2ZLInvxG+syUzGazbPTGr7uu69zT59dBI81rvPnmG8S++IDFYo7ZjCJHBtsBIqTNbWRcqspksDFld0atVpH767yplWnj3B6p8qS/jwBj257QtoC1lJ0FmASABsQYUmtzgHMepTb5PSxjCR8snt9+iBACLi4us86LgYIyFJEiBMilXZusK2BQNBVL8vcYXDNoJV0G+ZNNNyVuZUzbn/y5ASMDJpVEURYPBOn82U6vC2bu+Jphto0rQ77mpn5nDMh48d/D9LtzDsqO5nx8TU6LBd6QufVIr8fnFo7rxtgJGxzI2JCLCknDCKl9MrVy6LoBz++PH/Vt/Gq9pOvLX/kyfvInfgJaG/S9BSDh3IA333wTz549wwcffICrqysYo/HBBx8kQCPz/XR+fo6u63KrehgGBEExXCx6v7+/x1tvvUUeWF1HRrMYEw74PmZGn8GFcwFN3eDUnvKE2wcffJALn/V6jfv7+6wB48fj5xEhUtJpVaHbbAChsznmfL7IJqJFWcJonfVWZVU+uLf49VQp0kUIgaooERUbfPoHZwHvLRwBwwwfe1KxrQOAVIxRd4NZJZ7W49YeACwWS6xWazRNg/vkSN40DY7HI4wxuX3KXQg3tPnvm0oiphrd6R7kvcex6/D0fvMAbL1av//6WAKq32+FGHGz63CzA7759ICv/O7Dqvr6bIbrsxkuFhUuVzVeu1phPTN4fLUCMB5ifCNwCje3gaYHGAGmmETTgYzQhARlqo2VP4EDj8Eml+qY6FuhESMDGCRt0wDvLYQoURQaVVUm0IVUJcbMpLDomx2uYwxJODmyNBCA1grGzFEUCscjvWZtDIw2ufrh9iKLI6dfm7I3nOmlW5WFjUVdk2t7qrbKNBk5uvGyHohNJ4Gi0GhbB4ro4TFhmYBemXUYu90uuy0/evSINmrf0xBApODV3X6PruvzxnlxcZEZpmnSOf+twQU47x5sagykOdZhqh2ZjjErTe70NMRAmrGx7ekeTM9Mf5eBKk+NMnjiCpt1DFNwCyB/DjFG7A8HkH8ZPS8LcVl4P51iAkZgn0EyAFOUWSAcrYSAy9eskvqB0V8EtXmECPA+4Hb3Si/xaVlt2+IXvvRF/NWf+2uZLTLG4O7uLksTiD0VWCwWePbsGRaLBaSS+UBnm4WsY5ICPdhuJuD8/BxVWUELic6H3NbjA3063caHf1VVucjkvYkLJv7e/f09QghYr9fY7/dYLpcEynxAU4z7edt3qGZkilnXNY7HFvv9Id1PdWo/kkYVAJCAR98PeT9s6jq/F6xzFVrCOjIw5X2F9WG8p6xWdN7wHtf3fXaoZ98s1kuFQMJ+7qKM7Tjah2KMeP78edY6ToOpV6tVtqegkGIHhbHQ572P3+9pARlCwM12h83xVSH1R1mfKED1h60P74/48PeptK/WMzy+XuPR+Rxn8xKX6xr/xOd+DI+vVply5Yu6LPlgGg+ZGMcWo7MewXOop8TphAQoaHKOYgYaRB8fsBosUAeQpxrpgAaAkMAWC6l19pUiECUeiDNJfh+SqJvaXdrQ2L4Ugv6rAFOoJLD0GKwkkBdHoSSzKqxXYIDALb6qqijzLaQpEKWhhIQSNL9XsLCfBeK5CuONkgBWjHWqqmZJGE0WGCy2ZrDnZdIUiYi61BCxhhERwQWI4KFiQBQCMY1CZ7sCIFetOuoHYIf1BNbapDuzOB6PGTQy8PGDxTDEtEFSxcmf2VjBEfNYFBpSUrYheYVRZMc0FmKaPcaV43Syhqt0FtvyFCG5VM8fVMrMMnEkjfc+V/fGGBSmQJUmYkPwOLZtZrqUTl5vIU3+SQkjC8gUm3Ps7+D8qwr107Te/tbb+D9+6Uv4Z/7CP5sP/L7vMpt/Op1wdnaWD25uVW23O5Cf39hCp8ncCkJK9IPFfD7H/f09vLXYJWEzs+KLxQI3Nzf5uuY9d9r2u729BaLI0Suf+cxnsn/W8XjMj8FFoJEaCiODXRQFjl2L+XxOMStJ87TdbrFarTLzTHE6AezZdhwsECK8j1gslpilfcpZC200jv0RpSgxny/z3sEFj5QSm82GrBhS4cN7x2KxyECRY3P4fZsK7dkKBhgn9dhjigvYaRHM7BR/rShLtPtNfl+ZmeKzLXdeYsTz7RZt/+mLjvlB16cKUP1B6/nmiOebF8HWrwMAzpY1LhYV1nODNx+d48ff6vDaxRyrejT6nNKl01HYGOmmUkKgLAt4b+FcRFmUCD48aA/yIcoH7bSPzRtUPiALk6snrRWqqkBZFqli8xCCcwpT+K/kFiPn7mFSQRk4R7YC1jmontzK6Xk0ul4moGbhnIUpFAYrobRMbuzc9mvzBuKdQ/AeEgIqGU25FH7tQwrwDCELPxm0MiA0RmOxmOF0mif2jDRULDzVWmPeNJg3M+xNgf5EG7MGmZzO6zUWswqH4xHO9ZBKIgZARpnZuKnold8P3ph4w5sa9/ngHnwObEsxjXWYtvFIv0TArm1btG3/oBXBmyQDLH493KrkIQghBIa+J4F+JAdkFv6WZZkjOKwd0LZUwfKmSv8uYHuLNpLvT4gRfRoIkFJADMm4te9GbVdZZK3Ks9tPpxD1076++vVfx6NHj3B9+WgyqUz/Zef01WqNu7vb0f9oAIrC5LgXDiY2xkAmc9q2bbFernJLnKfwpsXBdBiGhyvW63XWRy2XK3hvM0PDEg0udheLBXbbLYxQiHK0TxCChpGY4aVEAQcpJM7OzkCRUhJSaHgRISQnVAicrIUSJLynKduKhnyCR7Oc4Y3iTdzf31Eah6a4MQAPWo+slV2v1w+GZ9gBfbPZZJH62MavIKXA4UCT3tNpQj4rttsxWcR7n9l2/rv534edQExsFj8Wnz8xRhzaDreT9uOr9UdbrwDV97Hudy3uU8vja7/7IYDfAQAsmgLX5zM8vlzh6myOeSFRa+BszlQw8oFpigJNU6HrWgT/UJvDNxa3f6aCZa5SpqGb0wqDdTKjj5HAYPs0fcJTY8RKKSXhXCRfF4wGd6w/YDqewU3btol2phxFpSVMobG9u6ekd0WMlg8OPjhqaQKAoOw/KUXyl+IDfgAn90kh4OLE2NJatKdTtr2oqgpFcrdnFsfaATYmW4EILGYzFGWJru3Qo82g1juPLhnnFUWBAKDrO5pYUxrBOQREBEN/U1kKGK1hCgOZvLoY3Ey1BVKZBy0I/hy4FZwZu6S94/eXmSfWMrCmidPmp1UsL2bmqLqv4cND09FhGDKLxgxaCCHnffHGyhuj7Y8INqSYkABM7Cicd2jTAeO9h06TfnbmEEPEu09u/oTvsFfrZV1f/NIv4N/6N/9GZkjbtsv7zel0wtOnTzGfL6CUytdeUVUI0ef9je8lAOi7PZaLFdnwqtF5m+8rHrI4OzvLDM5sNoOUEvv9Hm3bTqZcaQq1rGgQ5+7uDmcpbFlLhevzy3yPOucAKWCqEq4lLVHfDzQlKyROKZOQB5bI3oUE56YooaSEtR7eu2TbQia7UQD70x5n5Vm658cYF2NKiFRMcvudmbBpZh/vCfy383vJDHuMwPHY5j2HJ9qn8WQsG+BWIwdNM0vN3ZPBeRgJSBnz8/J+dn88Ynd61dr/QdYrQPUDrP1pwP404O33vncSsakMXr9c4Xrd4HxZ4o3rFd567QyLGii1yBvNi6PBI0gKD34GeBjUS4chMNghHb6jUJ0BCG0mBFpMUWYmKoXLYBg69H1H3khKwRid2R+u5nj6b6rrmdUNtKQ2XgwhBSGPhpAEIA2ss/CBXidChFQCWqpkVqcS/T36skzbiyyWlELkgOAYqB3ZtR2C86iLElVRwA1D9m5qmgZlVUIHMqMrigJRSgx2QDt0gGxTRRYw2AGF0FAyAtGn1mgPoz3KIqLrSKdlB4WubaELqq65PcHmfPyZcTVepcijqScOvX0jiOHW8VTYPm1P8nvOkUmb3QbO28TS6cwUTAGeMQZN02RtxNQuBB4IoA3dlAXarst/izFkg8HPqaSCMQXKgrx0NodX0z2f1tX1Hb74i7+Av/TP/yxWq1XSNnl8+OGHuL6+xvPnz1HXNQ6HY9YGCiHh3RiFwvdL1/XwLuRMOrafYR+1z372szgejznPjosQbs0zyJgWMWVZoSgM9vt91iRVibF2yVeq73uUdYXj6QSfCiRi9ykQPCSx/G63Rwg+Bw7zdC1AliK0/0r4EHF7d4ez8zWKssDZ+hyn01gA8f652x4wmy0yUJzaIzBoK8syi/R5IIkSQUa7FGbEed+fTiFPwRNA+rdhGLDdbrOMgIduAKTkj4DoXe5YOO9xuz+gnzBmr9Yfb/2hgEoI8RaA/xbAI5AZ0M/HGP9LIcR/CuDfA8DK7/8kxvi/p9/5jwH8uwA8gP8gxvh3/wRe+0u9Tp3F2+/d4O33vvd7VaHx2sWCwNa8xOuXC3zurYjHVysUE98RXtPpu7IsUdVl0gKYrJmRMuaJLTrQASCSn0ocHd6nZqXekws8RfnMk4CexOJaS2hdpjgfChDte2pHzefzzJrFENHUTfJ3ckmAqlAVJaSQkELCOTtO2kmVJxi9p/gKY2hk37khia5pEpLbf1MWLQZk8NW2LWR6f2KIGCwBq9lsBlkp+PYI5z2FWKfnJrbIpwlEC62JSaMBgQR0ihpKGXgfcQgncJPU6ACEAYPz6FoNhBrOenRtl4cY+LNi8Dtt3Sqlsxkng6ip+HaxWAAYJxd5IyXtB30OPjiUqkBRaigtEKJLrb4TyrLMUUkA8th6CAFVWaILxHCWSUvCJoFlVaKZkd3Ffr/PbBjrVtqPMZ56tX/94Ou7772L3/qH/wA/8/m/kFmYw4E89B49egSlVM6JmwrHp8XB4XDE6djma/PRo0d455138jXfNA0+/PDD7AHI9zsbXHJhuVgsHvhLnU7k3C4ksJjPsagpWmzomKXXZLsiZfYZXC5XOBxbyDzR7RACUJZVmsJjCxOZ9oaIMBnOcc5it9tivlxAaXIshwCaukbTzGiyOSC1QamYYnDJocfsE/js2TMcj0es12torbM2lUEkWz5wi5J1YcwYCiHyAAAPEvFjsGgfGK1YmBVnScJpGPDhZvsqBeEjWt8PQ+UA/Ecxxm8IIRYAvi6E+GL63n8RY/zPpj8shPgnAfx1AH8awGMAf08I8adijB6vFgCgGxy+/eQe334yZbb+AQAyNH10Nseb12v82OsXeON6jWWlYDBg1dBNIsVoWFmVVeq3A31PtgRUAdHPFKaAcwOAmKbTaMIPYAZr9B+ZtiC5LUWaIJE2UgZbGmVpACTnb0UHNAu6mVmbFwW0IjPTwjjUZYXueILtqcrUSmXqnxkbblvS5GNECC5pJTSAiKoqUZUF+raDsxaoahiloZWCHQY4S6xMTG1GFwJ0JCZJS42gAqICnIv5uVUedXZo2w51JfPr6doBIcQ0SUTTP23bIYYAZx0QACUMtBSAk9DSQELCBwuhWJ8VAVSIUWStCIDcmgPG6BquJKfO7W1qUXD1mVlAYyh0dr9FRMDFxUU2KbTWJhPRCB8cCl3Buh7W9SibMrdk2e9Lysl05zDgcDhgsVhguVzi/vCxDj19tX99BOs3vv5VrJZrfOatzySQo7HfHzLLCgBak3kxg3glDaKK6DtqXS0Wi8ymWmuxXq8xDGSzwkCAW+YAMks9TT7gFAMO9CXPvhX69gS4gCAJDC2XSxzbE24395jP59gnxkZrgy6BLZocrHF+XuG9997D2fk5tvsdzlYrKKkgRA8qpSQiKKFhvVqlvWJIzNIdlKJ2W13VlIBhmHX3MIYYp/1+nzsIl5eXEElLxgwym1Hz387vz3q9xs3NDYwxmKWYHu4csIUDGwjzdPJsNsvv2VQfyiatMVJo2P1uj82n1KjzT2r9oYAqxvgEwJP0770Q4h8BeOMP+JW/AuB/jDH2AN4RQnwTwOcB/NpH8Ho/8WuwHt/9cIvvfrjFr/32dx58T0mB1y4W+LHXzvCTbyywnhX47GOJq6tHoLBcPbFRoAquqiuESEyQlBSiDIyRAlzpcIuRE+QZXLG2KnsxSQEZAaM0YCLKwsBohaGPyRLCZ0ZrPp+jLIsMzhAjbNePjI+iy29eNzT5ozQ22w0QAgptcoBxSH5Yw9BjvTxDU1fw1kIhwhgFj5hzCkWKkZCadGsqBFB0soBWpIOCCKQB0wJlUZC2zA4YrMXQD5CCgKdK9gh9bxMbV41tWsH6ENKRdd0JQkQ0swpK0hSlQICIDko4uNBDBoXGKMigKDjaOwSIDEIB5M+NDQedI7F/1ZS5cufPrWmaHMnE7WLeSBl4xRgR0yQj+YHZnMtWFAbDQEatPJlY1yV62+F4anE47HF+fvZ7DGt8fNar/eujW3//y7+Ev/TP/Szm8wWGIWRn7+vr66ypomGKUwZatncoTIFyIjJnw12dfJ44u4+1RwCyuJx/ntkWKWVum93d3cFai7oooEOA0houeTeZsiB7mBByHt4wWJiCXtfrr7+O7XaHum5wc3ODsq4wW8yhjMZiscTdcyIuGbQgRkiQVQFgoRRpILdbi6qix7+5ucHFxUUqaCWMKbKPFefmMYPNjuh1XWO322G322G1WmWZAGsq2VOLJQH8u6wrYzA1nQxmZms6AMNWE/z8z+5u0HYf60LppVx/JA2VEOKzAP4caPztnwbw7wsh/iaAr4GqwHvQZvWVya+9h99jAxNC/C0Af+uP9ao/pcuHiPef7/D+8x1+7f8evy4E8PrFEhfLCuvG4HJV4yc+Y/FnZInH18skdk/icBezUJJZjqkjcZ28VTjbicXTDKp0ukFDEpLHoiCjPKVgpIILA2zXwfYdxKyBkgKU+CIghUqbD4E650y2fmA9QGEKGG1QVxWM0yiUhk5ZjLbvURqDuqrRtx1R51WFDh0QArUrESBERGk0tFEYnIX1HgC1FrUyILKB/L+UlNB6NNkEAAkBLSXqitpzApQDyW74Mf2bdFRF9qBim4OiKKA0eTjFGBEioNMGDABIB0Wpkgh9CEAIUMGhKhsErRCchXc26yWaeZ0PKd4kQwgUIzPZqDOImrBdQggghnxIdX0LbRSqukxgsMub8Gw2QzeQd83huMfhuEc/fDK0FR/l/pUe71O1hw3DgK//5tfwV/7ln8vs0eFAQvHD4ZCvLykVeLyCgT6DfgBZMsA6xNPplCdkubhgZ3MewGDGltt4m80GH7z/PpoEpkII6E+NkVIXAAAgAElEQVRHRCFQVCWc93kSjlptNHG72WwoRSJSC957D6U1yqrC3d0dmmaG7WaL5fqM9jAh0LUdECOiiejaHvebO3jv8a1vfQilqJXoU4qBUhrOkTUOARwSpscIVBVZJzCg5AKJGbv9fv/AQoGZKS5sh6QV5X2ZLRi4FTm1V+CJa+ChKfWxPeH5/V0Grq/WR7u+b0AlhJgD+J8A/Icxxp0Q4r8C8LdB/Yy/DeA/B/DvfL+PF2P8eQA/nx77VQP3B1gxAh/c7PDBzW784pe/CeBXAACvXczx+GqFN66WuFzN8MbVGR5frjCvdDbt4wqRR6MZVHEPn0HVaNtQPIhUoE1lnBoUEJCCGCOZPLKkEGiaGjptxt459GIAEggyRiUjUp3ZttmsGZ8ntfaqskCZRPPOOShBGzCn3i8SI2Y5PT45nIfBJvsFzv7ziRZ/aL7H1bNSEkYrOK3gQ0RVlvDW4xAOcH6AAIliF4tFHnMuy4JAo1EIwUGICClL9McBAjIfEBxBwXYJu90OQ9dhVteoCgNvNDqfAl+NQqkkYmEQPeVQ8ufFGy5P9ExFwLxZI0QokG1HREDb9xAikqXGRLs2tm9NYuYoj+2TsD7q/Qv4dO5hT549wW9846v4wp//mTz1R1KCxDbPZrBdC6N0bnnzJCsS88JsEwN4Zp24RcXAjI0ugVEPmK1MnMW8KuGdz4Mz3nsIJQFJrNJyuSRT2tt7EsAbgzpppnjSrkvROSEEXF9dYz5f5Ky8tuuxXixxdMc0SELxOk3doKqrzPo653Ih2jSzPI1NxpsU5Oysx+nYZjsUZqC4cOVcQ7ZimRa1dV1nYTu3Og+HQwal/B5xJ4D3MS6sGITWdY3f+dY3fzQXzqdkfV+ASghhQJvRfxdj/J8BIMb4bPL9/xrA/5r+7/sA3pr8+pvpa6/Wj2g9vT3g6e0B3/id7/0Yzpc1Xr9Y4o3rNd56dIar9QxvXK3wmceXWJUsfi8ybS4EUNUlvG8QEcm4UysgjiHCLKTmA31qYGkmtg+5TaUowgEx4pTadgIRSgqUhUFZUnUmtaBJxKJAVRZAiMlmYdSDdacW+90Oy9UK5+fnMIUhYbqUcLoDYgCS6SlbGiilCAD5QN9O5bX39H3rxriYsiyhlcIwkC+XVgZKYIyVCQ51VUDJgr6vFapmBt+N8RlMwbNzuhACm80mgzluubL9QvAehVZAULAIEFFgURUoJXDaGfQnCRE8bN/BJh3K1KPG9j3gA2TyHAvgz4cNXxW0kVCajDzJpb/AMFj0/cd/jPrV/vXRrq//X1/DcrHEW2/8GKqqws3NDd566014a7G9uwWSWHroeigzSgoA5PYzMysstGYRO2t9qCVd5PuBf65pGsAT22qlhB0GxBAzUJnP51RAKIW+H+DZ6y8E1GUJKclot+s7dMOAq6srzGZz3N/dw5gC+/0eZ2dn2O12uN/cUxCyDzkixloLbQgAXV1dYrO5H20WkraJikoFa12yYVCQUsMYATX0aBoqSClurIOUMpukMvPMYc7OOez3+1z0cnTVbDZD27bZl4snh5nN4vebB5yElHjnu+/+KC+bT8X6fqb8BID/BsA/ijH+ncnXX0/6BAD4OQC/nf79vwD474UQfwck6vxJAF/9SF/1q/WRrbtdi7tdi3/4zrPv+d7FaobHVytcLiuczQu8cbXG5966xqPrq/+fvTeP1yRL6zq/zzmxvPFud8ulMquqqyho2aVptIERWwZREBUYnRlBFJjPOIzbOPhRRsCtVHTUD464gSOCICCI48bM4Lgg2ggiQgs0DXR3dS1dmVm5VOZd3jWWc8788ZyI+1Z2VXVWZ2XevFXx+3zez33fiLgRz4k454nnPMvvULckn3GNvUDQakKU2sC5hsbpzFRMpFXYICrd5KdplQDwkuUcWtd/nmV457AbRKRpktJUlZKHxlymJLEYa1QmPHVV4kMb2hOKPIbnxGIQVus1BiFPM2xiydKMkGr+hrrdq2h0gDEWaxKGw4TpdIvlchWNEYOYjP2DW6r0GeDcmBASmrqmaTQ/KU3TbuHrduHXlldqMyG/defDMetxG/po89s6OoQkYToe08RZuw2eTAJFEqkcgmCTlKWvqUPkq7HSkb2GoMZTVScdfUWSpkynUwBmsxnG3NEi6w8sev11b/AffuLH+OLf/KVMJ0pyeePqNYZ5RjEcsi7XnZd3PpvTxCW2xuNxZ0QVRfES79RsNntJAnUb0rqdzTtPUoLRSVHL6i9yHFo0xpAnKSZLWa5LlqsVNuZqFcWoo1jYO3uWg4MDQLhx/Ubn+VGjpWRdrtje2WY+n3N2Z68jJFWPW8VkMgYC4/G44w9s26N5j2u8j0UnQQhxQjkeTfFBDcr5fM5yuey8dm2+ZJtg3lbxtR6+Vk+04cHNgoA21Ndy57UGlYjwwrWrXL52tdM3Pe4d7sRD9WuA3w28R0R+Nm77RuDLReRt6HT/WeB/BgghvFdEfhD4RbTC5g+82StkTituHi64efjhCcnbk4Jz2yPObg145PwOTzxyjkcf2iGjon39+uA7QlCJCyjnaUZVaf5R61FqFULYWFYFjtexa6viWne+NYYQDY8m/l+aJGSRw6VpGmxcKsJTaZ5XCNiodI2JHF5G8xZaktHEWIYDNXTafI5VusbVFUboCPXavIR2NlgUOSBMp2NadvmX8HhV6xgSGHYu/JaDpw1TtEtutHkQrUewzZ9qS9KLouiS0EErAVsCxDaEsrn+nw2BNE2gyChtIHh0aZ5yjVSQpQOKvKApq8j3BXmRk6QTpbFwNUYMpxy9/roHqJuaH//JH+PXv/PzGQ9yfGN56KGHaFzDOi5R0/bncTHg6vXrXb+cTiYcxqTs1mDY3d3tQt8tfccmfQABsiTDBU+2QVrbVhS2S1y1OZ+rjXUuk0Rzm9pcwSBwcHDAaKjV0W2+UZqmiBFWqyWj0YjBYMDW1hZHh0ekosvtIDrhmk6nnVHThibbKkYdn8eTxBCkuxfGWI5m866yryUqbT35QOdhSpKE7e3tro2t4dVWOraUCK0x2VKwbFZDXrl2leev9A7W+wV5ECjmReQGsABOMyXzGXr5TxKnXX44/W14OfkfCyGcPQlh7idEZAa876TluAuc9r4Hp78Nvfwni1eS/4512ANhUAGIyE+HEH7VScvx0aKX/2Rx2uWH09+G0y7/3eC0t/20yw+nvw29/CeL10P+U+/P79GjR48ePXr0OGn0BlWPHj169OjRo8dd4kEyqP7OSQtwl+jlP1mcdvnh9LfhtMt/NzjtbT/t8sPpb0Mv/8niruV/YHKoevTo0aNHjx49TiseJA9Vjx49evTo0aPHqURvUPXo0aNHjx49etwlTtygEpEvFJH3ichTIvL1Jy3PnUBEnhWR94jIz4rIT8dtuyLyr0XkA/HvzknLuQkR+U4RuS4iv7Cx7WVlFsVfj8/k50Xk7ScneSfry8n/pIhcjs/hZ0Xkizb2fUOU/30i8gUnI/UxRORREflREflFEXmviPyvcfupeAavIv+peQb3Cr0Ou/fo9dfJ4rTrryjTvddh7QKKJ/EBLPBB4AkgA34O+KSTlOkO5X4WOHPbtr8MfH38/vXAXzppOW+T753A24Ff+EgyA18E/AtAgM8C/tMDKv+TwB99mWM/KfalHPiY2MfsCct/AXh7/D4B3h/lPBXP4FXkPzXP4B7dl16H3R95e/11svKfav31Edrwuj2Hk/ZQvQN4KoTwdAihAn4A+JITlumjxZcA3x2/fzfwpScoy4chhPAu4NZtm19J5i8B/n5Q/CSwLSIX7o+kL49XkP+V8CXAD4QQyhDCM8BTaF87MYQQXgghvDt+nwG/BDzMKXkGryL/K+GBewb3CL0Ouw/o9Vevv+4W90OHnbRB9TDw/MbvS7x6Ax8UBOBficjPiMjXxG3nw/Fiq1eB8ycj2mvCK8l8mp7LH4wu5e/cCFE80PKLyOPApwP/iVP4DG6TH07hM3gdcVrb+UbQYadu7LwMTt3YOe36C+6dDjtpg+q04nNCCG8HfhPwB0TknZs7g/oLTxUfxWmUGfg24GOBtwEvAH/lZMX5yBCRMfCPga8NIRxt7jsNz+Bl5D91z6AH8AbTYadN3ohTN3ZOu/6Ce6vDTtqgugw8uvH7kbjtgUYI4XL8ex34p6gb8Frr0ox/r5+chHeMV5L5VDyXEMK1EIILIXjg2zl2xz6Q8otIig7k7wsh/JO4+dQ8g5eT/7Q9g3uAU9nON4gOOzVj5+Vw2sbOaddfcO912EkbVP8ZeKuIfIyIZMCXAT90wjK9KkRkJCKT9jvwG4FfQOX+qnjYVwH//GQkfE14JZl/CPjKWKnxWcDhhlv3gcFtMfn/Bn0OoPJ/mYjkIvIxwFuBn7rf8m1CRAT4DuCXQgj/x8auU/EMXkn+0/QM7hF6HXZyOBVj55VwmsbOaddfcJ902N1mzt/tB60GeD+aQf/HT1qeO5D3CTTz/+eA97YyA3vAjwAfAP4NsHvSst4m9/ej7swajQX/j68kM1qZ8bfiM3kP8KseUPm/J8r387HzX9g4/o9H+d8H/KYHQP7PQd3hPw/8bPx80Wl5Bq8i/6l5Bvfw3vQ67N7L3Ouvk5X/VOuvj9CG1+059EvP9OjRo0ePHj163CVOOuTXo0ePHj169Ohx6tEbVD169OjRo0ePHneJ3qDq0aNHjx49evS4S/QGVY8ePXr06NGjx12iN6h69OjRo0ePHj3uEr1B1aNHjx49evTocZfoDaoePXr06NGjR4+7RG9Q9ejRo0ePHj163CV6g6pHjx49evTo0eMu0RtUPXr06NGjR48ed4neoOrRo0ePHj169LhL9AZVjx49evTo0aPHXaI3qHr06NGjR48ePe4SvUHVo0ePHj169Ohxl+gNqh49evTo0aNHj7tEb1D16NGjR48ePXrcJXqDqkePHj169OjR4y7RG1Q9evTo0aNHjx53id6geo0Qkc8VkUv36NzPisjn34tznzRE5LtE5JteYd9XiMi/ut8yvREhIk+KyPeetBw9Hkz0+uujQ6+/7g9Ou/56QxhUcSCvRGQuIldj5x+ftFwPKj4apSoiQUQ+7l7IE0L4vhDCb7wX5+5x5xCR7xWRF0TkSETeLyK/56RlejOg11+vDb3+6vFqEJG3isj6JAyzN4RBFfFbQwhj4G3ApwPfcMLynBhEJDlpGXqcSvzvwOMhhCnwxcA3ichnnLBMbxb0+iui11897hJ/C/jPJ3HhN5JBBUAI4SrwL1HFBICI/GYR+S9x5v28iDy5se/xOHv5KhH5kIi8KCJ/fGN/EWeM+yLyi8Cv3ryeiHyiiPw7ETkQkfeKyBdv7PsuEflWEfkXcfb54yLykIh8SzzfL4vIp9/ehnjMUkT2Nra9XURuiEj6Msc/KSL/V/QwHAFfLSJ5vM6V+PmWuG0E/AvgYpRpLiIXReQdIvIfYzteEJG/KSJZPP+74qV+Lh7/O+L23yIiPxv/5ydE5FduyPTpIvJuEZmJyD8EBq/0zETkq0XkP2z8DiLy+0XkA/H//5yIfGy8xpGI/OCGbDsi8v/Ee7Mfvz+yca6PEZF3xfP8GxH5W5szFxH5rHjeAxH5ORH53FeR86KI/ON4rWdE5A9t7PthEfkrG79/QES+M37/WBH5tyJyM/av7xOR7Y1jnxWRrxORnxeRhYh8h4icj/2mlXsnHtv216+Jz/UFEfmjryLzHbcvhPDeEELZ/oyfj32l43u8/uj1V6+/pNdfmzLfcfvi8V8GHAA/8mrH3TOEEE79B3gW+Pz4/RHgPcBf29j/ucCnogbkrwSuAV8a9z2Ovji+HSiATwNK4BPj/r8I/BiwCzwK/AJwKe5LgaeAbwQy4POAGfDxcf93AS8Cn4EOyH8LPAN8JWCBbwJ+9BXa8cPA79vY91eBv/EK7X8SqIEvjW0sgD8L/CRwDjgL/ATw5zbux6XbzvEZwGcBSbwnvwR87cb+AHzcxu9PB64Dnxnb8lVR/jzei+eAPxzv0X8b5fumV5D/q4H/cNu1/jkwBT45Po8fAZ4AtoBfBL4qHrsH/HZgCEyAfwT8s41z/Ufgm6NMnwMcAd8b9z0M3AS+KN633xB/n30ZGQ3wM8Cfiud6Anga+IK4/6F4Pz4P+Iq4bxL3fVw8dx6fxbuAb7ntuf8kcD7KdB14d7zHbb/507f11+8HRmi/vsFxv3nyo2nfhizfCizjNd4NjE96fL/RP/T660l6/dXrr+O+8FHpr3i/34+Ooe4893Usn7QyeV0aoQ90jiqDEDvv9qsc/y3AX73tAT+ysf+ngC+L358GvnBj39dwrJB+LXAVMBv7vx94Mn7/LuDbN/b9L8Avbfz+VODgtna0Het3AD8ev9t4nXe8QnueBN5127YPAl+08fsLgGfj98/lNoX0Muf8WuCfbvy+XSF9G1HBbWx7H/DrgHcCVwDZ2PcTvDaF9Gs2fv8M8Mc2fv8VNgb0bed6G7Afv78FaIDhxv7v3Riwfwz4ntv+/18Sld1t2z8T+NBt274B+Hsbv3878Dz6EvqcV7m3Xwr8l9ue+1ds/P7HwLfd1m/+2W399RM29v9l4Ds2+sJrbt9tx1hUef8JIL2bsdl/PvKHXn89Sa+/2n29/voo9Rfw19r7zAkZVG+kkN+XhhAm6GD7BOBMu0NEPlNEfjS6Og+B37u5P+Lqxvcl0CaFXkQ7WYvnNr5fBJ4PIfjb9j+88fvaxvfVy/x+peTTfw58koh8DGqZH4YQfuoVjuU2GVvZNmV9Lm57WYjIr4ju5qvR7f4X+PB7tInHgD8SXbEHInKAzoAvxs/lEHv2xvVfC+7ovonIUET+TxF5Lsr9LmBbRGyU41YIYbnxv5v36THgv7utDZ8DXHiF9l687dhvRGdlLf5v9OXxvhDCZgjgfHShX44yfi8ffm9faz+5vU++3LN9Le3rEEJwUf5HgN/3asf2eN3Q66+Xotdfvf664/aJyNuAz0c9oSeGN5JBBUAI4d+jM6tv3tj8D4AfAh4NIWwBfxuQOzzlC+hAa/GWje9XgEdFxNy2//JrFPvDEEJYAz8I/C7gdwPf85H+5bbfV9AOuSnXlVc4FnTG9svAW4MmJX8jr36Pngf+fAhhe+MzDCF8P3rPHhaRzf9/y8uf5q7xR4CPBz4zyv3OuF2iHLsiMtw4fvNZPo/OgDbbMAoh/MWXuc7zwDO3HTsJIXzRxjF/Hg01XBCRL9/Y/hfQe/6pUcbfxZ33v1fC7X3yyssc81ra93JI6HOo7it6/fUS2Xr91euvO23f56Lerw+JyFXgjwK/XUTefZdyvia84QyqiG8BfoOIfFr8PUEt/bWIvAP4na/hXD8IfINo8uAjqPuyxX9CZ4P/m4ikMWHutwI/cNctUPx91J38xXxkhXQ7vh/4EyJyVkTOoLHzNpnxGrAnIlsbx0/Q+PxcRD6BD/dMXEPj7i2+Hfi9cfYsIjISTZ6doHH/BvhD8b78NuAdr1H+O8UEnQEdiMgu8KfbHSGE54CfBp4UkUxEPht9Pi2+F/itIvIFImJFZCBakv0IH46fAmYi8sdEE32tiHyKiPxqABF5J/A/oPklXwX8DRFpZ/oTNKRzGLd93evQ7j8ZZ7efHK/7D1/mmDtun4icE5EvE5FxPPYLgC/npJI739zo9Vevv3r99dra93fQyd/b4udvA/8vGiq+b3hDGlQhhBvoYP5TcdPvB/6siMzith98Daf7M6hL8hngX7GhGEIIFdrBfxMad/5W4CtDCL98t22I5/9xwAPvjoPrteCb0MH482iS67vjNqJ83w88HV2pF1GL/neieRzfzod38CeB747H//chhJ8G/ifgbwL7aHLrV8fzV8Bvi79vofkU/+Q1yn+n+BY0ifVFNDHy/7tt/1cAn40mM34T2q4yyvk88CXobPYGOiP6Ol5mXIQQHPBb0MH6TLze3wW2RGSK9rc/GEK4HEL4MeA7gL8XZ7l/Bng7cIgO8tfjXvx79J7/CPDNIYQPIxZ8Le1DZ6C/D7iEPs9vRpN6f+h1kLXHa0Cvv4Bef7Xo9dedtW8ZQrjaflADcB3H0n2DvDRM3ONBg4j8W+AfhBD+7knL8kaAaAn0L4cQ/vRHPPgBhIg8jirENITQnKw0PXq8Onr99fqi118PNt6QHqo3CqI79u28vDu0xx1ARH61KI+KEZEvRGc8/+yk5erR442OXn/dPXr9dbpwzwwqEflCEXmfiDwlIl9/r67zRoWIfDfwb9Cwy+yk5TnFeAj4d6gL+K+j3Dj/5UQl6vHAo9dfd4def71u6PXXKcI9CfmJlny+Hy2XvYTSwH95COEXX/eL9ejRo8friF5/9ejR46PBvfJQvQN4KoTwdEzw+wHUVdmjR48eDzp6/dWjR4/XjHu1COXDvJS46xLK1NpBRL4GZe0FXTagxwMGYwRrDYk1JGlCYoU0zTBGaKlgWg+nGIEQQARjDIL+DATQzYjoOUPQ/zPGICIEH6jrCkRIbEIIAed8lOHY5hcjSEsNEwABI4LXEwLgvSeEgIgggIhgE0sI4J1D4vFGBBFDwBN86E6pbdJzGGvJ0pSmafT/vcM1jjTLMMbgvdtk6X1JewJgjSEQaJoGEcjzAYRA49xLZE2TFOe1vc41QJTdGJVDDGlqcd5jjSUET9O4eD8tRoS6qdtbgPcea20nj/e+a50xghEB4n0jPhv03rbtkXjfvfc8d+nmXfWjEMLdctbcb3xE/QX3XoddfOgMWaoq2ohB4vOUSAEUgj/u77RjLehflRAxVsdM8O3w7Dq6jgUfn7n+NtYi6HaDR9A+4SP3pyDEixHQ6xKO+9dLb1DQ63E85vV/dOy1Y1nPH7e3YzweLy+hgjpumZHj/qnjT6JeineiJSwX9FqAD4Hg4zlFOh0RGxavG68ROG5zp3OO92nxYvvf4fjeEPVBbLe85G9UUwEQoaobyqphXdVUVUNZ1S9LsNXj5HGnOuzEVvUOIfwdlDsCEen70QlhPBowmeRsTQumkwFvefQhzpyZ8vDFM1grrNdrqmrNYDDAOcd67VitKobDIWmWIAJJkjCZjGmamnJdIgLOO5q6RkTIsowsS1gt5hg8W1tb5HnOaDRmvS4py5LBYEBZltS1wzlHWVZYm5ClGc456rrGEzBpAiGQGMtgkOO9oyxL0iRhOBwwOzricP8A7x3eO3Z2dtjb2+Pw8JDQ6AuoLNc03lEUBePxGGMMda3KLIRAlmVUrsGIYJOEw8NDsiyjKSuSJCHLMkCV+Xp9fG+MEZIk7do+GAxA4OBgn+l0ynq9Zr1eY62lKAoGeYExlrqumU63Wa1W3Lx5k/l8gfeBuq7Jsoy9vT3GRUbTNJ28eZ4jxrCYz6nqmtVqCSIURUGe5xwcHOC959y5c0hoWC1mlGWp9zTLqKoKT2A4HJLnOVVdM5/NSLOMNE1Zr0ucczjv+do/+Y9OtpM+oLiXOkxE+Evf+HsIqNE8GIwo8gHGpgQf8F6NnfnskKYuyfIEI0JVranrkhA82Jy8GJGlCdV6zXq9IjGGJDFI0HFbN57ae5wPZNmAvBjivKecH5H4kjRN1eCJRrq1lqZpcHFSYK323/V6TZ4lFHmCa0rqcoFkJRAQLMZYAoL3AWMSrM2xNkOMpWnaCYKQJilJmtBUDt+NKQvoZKNxDYTAoBgAwnq1pmkajDEkSYKIwTlP42sCXiccJsEYQwhC8BK/h3h8wFghSQzWGpxr8D4gkrBcLgkhkOd5bGeJbxwCON/o5NB5vHcYAkmaQvA0TYNNUzXIgsfYBGtjGxqHiCHLBlhraeeC1iYIhvc/e5mnn3+BZy5d56nnr/HUh66zXFevZ9fqcQ9xrwyqy7yUCfURXgf23R4fHUajjK3pkIsPnWFnZ8SwSNndGbO3O6Fpauq6Jk0T8jxjPB4znozZ29tlvV5z7do16rqirmsAimKAMWn0zngSm5JYi6trfQE3DSF46kZ/DwY5aWqpqorFYsF0PKQoCpbLFQcHh1RVrQrIWtI0YzgcYYxhMMgxxrBerzg8PGK1WuK8pxhPEITpeEye56zXa8r1mpDnDAYZw9GI9XJFVVWkaRKNs5Kqqnjo7LloIJaUqzVJksRrDRgMBiyXS45ms26mKtZysL+PGENRFBwsVyRJQlmuAciyDB8cAcdwNOi8aWXpyPKUM2f3mEwmvPjimLquGY1G0WjUe7lYLAgBLly4QFXpcyiKgqZxpGlGnueAesYCgSzPWK1XBMAFT5qmVE2tLxkRmqahaRqyLGNra4u6rinLkuAbqqahdo7GByrnsNZgbcKqrJgvV51XsF6V1Efz+CIZYIy9/x325HHi+uuxR84BDoOQJhl5arFWaJqapqnxPhAaR1WugejFTCzeW0KwJEmOzYbaV5pGx6V3BDyugqoqSdMMSVIkCEYgSS3WqOfENxUeH72bajgNBgOSJKGqKu1X0YOUJAnD4RBrLZIkhJDgLORmgA4JT8BhowfJuYD3AZsYwERvahY9QYJrAoOsoG5qBEjTBO/V6Oq8ydGzhnjEBERC9DarzN57EPAe3RcMRgwmNbTE8OPxGO8bGldFD7o6IayxCGp0tsYkIRCceraNMaRpiojQuIq6jF5BERKbYmxCwIB3NE6fl5iGxCbRs+2pqoosy0iSNHqSDcELTzxynice3sGaTyKEQFM3fOiFmzz7wk2evXKTD166wQeeu8bhfHU/u2OPO8S9Mqj+M/BW0XWcLgNfxmtj9+3xGiACO9sTppOCnZ0xuzsTBoOEIjcMhynO6Uv24sWL5HnGYj7De30hp2kSB3aCczU3btxgf3+fy5cv4ZwjSZK4T8NbWTpA8FgjNFXNarHAe0eapnjvmc1nbG1NSdOUJLHRO5XhvWdQFEynUw4ODlgsloiY7v+qqmI8nuo5ZrNuZqhempQ0nbJYLGiaJnqGVLE//PAFDg4OKNdr5vM5eVqUA8EAACAASURBVJ7jvWc0GlEUOVVV4Zx6o8pKXwLj8RhrLc45FosFQPSYjUCELE0pqwqJ4bE0TfCuoRjmnUxVVeF8Ew0Ty9HREWVZAqjHLE0ZDocYY1gulywWi85wa69dDIaEAJcuXcJ7nTEDDPIUaw1GdNaeZynFcKgvkGi4tsZTVamxKzGE0e7T33B4eEDT1BgDRTHEWkNZVpRVA7joLRtQVTWDQa6eONfozN81GJudVLc+SZy4/nr84bPgG4xNyGLYXYIn+AbX1AQH3jeE4BAjrNZL5k1Dmqr3M0lSssGI+XJOVa7xvsZKiC95j2sqCI7UCEEsRKNKQ/ceK5BEz8pmeF4Nm5fSB6mnRzrjI4RAmiaINYgVhEDwDjFqrFjraRo1Ulzw+CBYkyDGboQfLUa8hrXFEoTOUDLGxDB8QPkqQwwvxhBfCCQ25TjUqCFEYw3GWDVeQkwzQEOCVbVma2uKMUK5qnRCBRANV0cbSleDqg2pQ8DboBOrILggEAS1+wwiCdDgXcBLwBi9h3W97u6rhvBb41WweByC946qqTm/N+aRh3b4r9/xSeopqyqu3Tzi6csv8sHnr+vn0g1ePJjfvw7a42VxTwyqEEIjIn8QXRnaAt8ZQnjvvbjWmwnGCJPJgPEo54nHLnL27DZnz25z7uwOTdNEj4e65pMkIQQNb61WK6y1cVbpO4VQ1zXz+bybfVqrIaOqrlguV6xWK86cOdPl1TjnKIYDmiZweHhIWZZRgWpIrqxK0jRhOCxiaCwlz7NouKWMx2NoakQsg0FBWZYkScJ0usVyueL8+fOICGVZMpvN8F4NgzbEkOcpaTFmtVqR5TmEwKVLlwnBMxoOWa/XeO/JBwOMCJcvX+nCbVtbW8xdYDwaMt3eZmtri8VigXMO3zQs6ookGk7LRsOQmsPkaOpAXZVMp1PyPO+MzOFw2Bmb4/GYEALz+ZzVaoUxhqqqWC6XXTjz6OiIuqppnCOxlsFWwSAfMB6NmM/nzGaz+JztS15QrcFpjOnCFcvlUsOUIZAkNr74PGW5YjzWpb+SJGM+hzzPuvu9XscwDp6mqSmGBds7uywWc+bzOUmWsrOzy4v+JutZRZKgIaP6DcfB94p4EPTX44+eUwNHIODxrsEFoa5q6qrGRKOgNZwBbGJIs5Q0S0kSDT+Jc1gTMBh8gLrWkFnr9Ums4AI0bS5W8IDmTzXNsQdKRDrjfb1eMxwO8d7HULd6fNpJl4bf1DslEjT8Lg0QcCGo18haQnCk1mJNBmKjQeIJaLhbPdcGYzyN0zxGDeFp+C/EhKT2OiIeETWaMAO8RydgLhBE4qPU0B8c55SJCKvVmiSxzOczhnmBYKIX7HjdaL3fFud8Z2AaYzHWakoV0ZuFxUiiBqTV9uu98d3ESURzIDXE6Kkq9VqnaYoXwSAQDIIFYxCx6m10Dk/g/JkpD53b5r/6tI/VyIBz3Dpc8PTlG3zohcs89fxNnr50wAs3eyPrfuKe5VCFEH4Y+OF7df43KpLEsr09Ynt7RJYJULOzM+KJJx5le3vMbDZDvCGzBcNhwXBUUNc1h4eH3YzLe894PMa5htVq2eX9VFWlys01LJdLiqLg4sWL1HVNXVckiRpZg3zA7u4Oy+Wyy5nQUFTDcrnAmITd3d04W60JwWuuVJ6yWCyii9wzHo7YmkzRRE3PcFjgG8eVK1c0XyLN0GRSy+7uLpPJhBs3blAUA9I0oarKLkdpOByqseVgd3eXtzzyCKPhiOeee4arV6+qJycfIAJNU1E3jq2trTjrVDd7YoQ0sdTliqquNck7GiJVVapBir4Q1H1/nNgN6nna39/vcqDWa51lbs7Yg4fJeKpJ7E1gMVuwXC4oy0rzoowqUAmCaxwrr+FJndWnL5n9Nk3Der3uPGl5njEcDhkMBqSpZb2m8yK2xlUIoTPgWrmyNMdYS+0aDRF69UwNiiEhCFevXsN7T1EMGY+mzGYL1qsSgtA0jrNnJlx+Yf8+j4STxUnrr4977AKJVcNagse5Gu9aA6EhyTOc812xh4a/AmLoig1CaDAGEqvFF2XQyYORNvE7eoCCGiUET+NqDIE09qE2vKX5kzphSZKk27ZJu9N6j/I8J8tynK9wjYaj1TMFITicaxCxahw69SrZmIguAWyoEF9pAre3eJeqUdR5ykLMc9Jk9ND+owSMDYikiGQ4HA41EEV0kilYnaQE3dY0FWnaeq2EunYkQy2MaZPtW89v60HSnC1LlmlumOY7HhcJDPIca5JjgywIQVpj0mNtQprGApaguZ7GEFMQNK8KEbwIklisCEmqqRXeB8S1RTeCF08QIYiwszXkM7Ye5TM/ZUJTOwTLohQ++Pw+H3z+gOeuHvCjP/O++96X30w4saT0NzOSxDKdFozHA6aTgu2dMTvbY7a3R0wmQ7IsxSaW1WoZQ2GaiHzjxnWMEabTCUe31BuFhC70I0LMRUpJEp2BtsZI69nIsozlYsZ0OmU0GrFarSjLku3tbYoi59atW9y6dYs0OzbCsixjNBrhnOPg4IBBPkEAawVrUkBnWuVyxc50i+VyTpqmWuUWNAR19uwZxuMxL1y+SlGMNARXlhwcHHB4eJn1es2lS5eix2rMeDxitTLRPV6xWi0YDocsl2vquuY9+wc0dQ0EptMJeZZR15XOXCEaJpqLBVDXNRaoY86R9z4W24jesyTFGks2yCmKQmfe1nJ4dMh6rTlTw+GQra0tmsaxXKzYv3VIVTYkSYYRw3g8AQJWpAuz5QPNS9vby1ku150Xa71edwZTCIG9vT2GQ82famfdSWLIsnaI+s4bYYx0ibZtfkySJASvM/S6rPCNo6oqBlnOsCgom5rpZBsR6Yw0QVjGfLOiKLo8tzzPu5yypmk4f3b7TWdQnTSeePQcxrQVfRoycy7EcJbtPMxEo0L7s4uGtXq0vAs0Vam5U97R1BXO1SBCKik2SfBNgxeDNQmuqXGuwaKe6tbAN8ZE7+aaLMuOx4c59pIde7n1b15MWK2W1M0MHyBNDFmeaGisLGmaGucFI8cVto331HVN4teIdwQBg0O8J7NqWFZNDVbHtvcuGlVdfS4ikGUDjBlEj3wNaLJ7lhY6PuqK0ITo1V9RFJq7mSQJw2JIIgaHTrYkeotc92Sk8yB7H7SK0qZq5IRAmhryrAA097GOIXrN5WonZyEaTh7n1SNnE62kNiZVAywEvG8AD2L0YyzgwOrv44rDoGalCISGunaa5I8wGhR8+sc/ytve+gTWZvzhr/gtPPX8VZ66fJUPPn+VDzx/jacvvXg/uvSbAr1BdY+QpgmTccHO7pS93SmDgSGEkjw3bG9vdS7zNjzXxeO9uoVdWZPnA0ajMYnVsNJoNGa5XLJ/cMhoMCYfaPVJlmVMJhPqWO3VGliaZ+C60FYbegOYTqcMh0MODg66Kpb2RT8ej2mahjzPGQ6HZFmmVTx5zoULF6jXTefuT5Ik5hWpd+zo6LCb0R0cHpDlGh574YUXuHLlCuWqZDAo2NnZJU2OFXae56RpymQyRgRmsxnGGKbTSQydLZjNZjgXq3kg/p/KNjs66rxgOzu7TEYjVqsly+WieyaNc4SmZjqddh63umnwMZxZVhVB1Oszn88Zj8ccHhxQrUt2d7bJEq14MknCollR5EMS4yiKUZdonuc5k8mE1WrBar1gPl9weLhPCPB5n/fruXLlMqvVChFN8M+yJBq6Cev1qvMqtZ7BttJoZ2dHZ/RlpYZkoPNKGWO6MvM0tcxmM9I0JcsyhqMhaZKQ1I469ovRaEQIgcVi0YV01us1IqIeUMBY2+XD7GwN7ufQedPj0Qt7GDy+cViL5ho5h/cB0P6PP/aMJomGz4gv7LquwTnqWvuKoN4WV9f4piKg3lcrRsPqJsEasBacD7i6ppQQk7Y9q9Wq0ydAp0NCCJ3+yrKs86ymWUGajUBSAoaqXmMNIIJrPI2DugnYJMOaBJOkCAZE6RMSK2D11dTmBkanjU4ajcFYw9HRAk8gH2j43yYGMZY8H2LtQD14lAiBJMk0CT8mvqdpSlmtYjVwoCgKLbKJeVz4SK1iW9oJOl2VJNr+2gUsAWsTzMB23rpjj3XrUdPnk1hLmiWEUJOmKXWjhp2GDluP4gBjVCcEjr2N3gdNygesTTuvpA+BIBCMyqgRCA2rqicywSYZkAKWLEn4hCcu8AlPnCfwKdT1mropuXLziA9dPeKXn77BBy9d5+nnr1M1x2ZkjztDb1DdBQZFxtZ0xHgyZDwsGI0LRsMBeZ5qXk8xYGt7ymCQUtVatmwMMb+miQPUAkJVNXjfRMWkpfrT6ZTGekBfgg+dv8itW/scHBzoccZ2xlMb1mpfxMfKLiNJbFfpdvPmTc7s7XB4eMj169c5c+ZMZ0yV5Zr9/X22t7c52F8wGo/Y2dnp2ttWqPlacxxsfOk2TcPR0aGW7hM678uFC+dJkzTSKax56NxZEpszn69Yr0qaxJGlOWmasVjM2d/fZ7nU0JaGBFPKctXNhuu6xpiE1Uq3JWJIUzVGi0JnhU1Tce3aVW5Ejpjd3W0GgwHz+ZysKGjWK0SE+Xyu+SQiVNFwaZqGYjhifjTTWXaaMRoMyY1lMhqT5nmkHrCkmWWQF1jbUBSDmLOmCrStLKzrmjzP2N7eJssy3vOen+uMJ2vzGKqjm/0XgwHWmC5HI5iAFYPzjixJMQhlDOsZa45fYlbDg9YYhsMh65grZxPNA1mXa4xNu1yXGzd0AfY2/8t2vGEtUZHmTRV5jnOOC+eP+0CPe4/HHz5H8GpgBAl459Xojy/JEHyslHPRiBGyLMVY6cr7JVamCZ7IB6JJ6dZoxZpvcM6TpJoHmGQpGIv4oNeGLhTtnF5nMpl0RsUxv5nqsyzSbYAaS0E8eT5EjMWuFzhX4XF4DEEsSTogz7KYC6bcbcYm5FnAhvol/HMt+5S1lrQNV4pE+gHNF6vrGpsNyIsBxo5wHrw3iElIrcFEYy9EuogsS2N4vO5Cfk3TQKDTn/iAGIlGl8dE49EmqRoykf9KRD1miOCbhqp8aQXeMV+d/m4ajzFOucWid89aifQwTmktRACDMUpNgwjOt+kIxDiv75Lu9QM+1ARjsSbVT5JFgyrBO+UQ886DRO4wA0lm+bi3nOWTPu4xfsNnacGMGOHyjX2euXyTpz50jfc/+wIfeO4qi1VP4fBq6A2qO0BR5IxHBeOxfvIs5fz5Pc4/MsbalLJsKJc1rvFxFokaItFrsFisQAJpNsA1FUdHc6yxkQRTiS8b1w46wdqUohhT1zrAxuMRzgVeeOE6TdMwHE46HphiqC/m1pMxGKhh4ZyLnp15p+zaUt+joxlVVVIUBYvFAmsto9GIyWTEYKBVbMNhAYImKidJzK/SWerWeDvOfKGJIYZBnvPwxYcYDAbcunVLwxUChwcHHB0dkucZ2WTCer3i1q19ylITW8+ePatcSFkew06a2K78Nw6RVGVqKhpXdbwzWZYxnU4717gHppMxg8E2L7zwAhKIylaV53g01FDo1jZN07Bal3irtAJV47FJQj4YaPL8ZMIoJpwDpImlGAx4/soV8sGA3V2tRgxelV7LkwPCcjlnuVxobkaWRI6qBueayNWTd7lqdVWR2ISt6RbDougS8ltjdTQcMo7epDRNI+khncJrvVBt4r4xhjMxtHr9+nUODw9ZLpaa2Gs967JmsViQWEtilcpivVxqblYxjIm+mjNTFAVZmrJardiZ5Pd3wL3J8cSjF7GizzUxyi9Vu5rQOLzRvCfvQ0dcK5HgNUmtvnxDQqhrrAiOQHAaOjIGTZaWY094Yi1ZniLGUNfqsU2xSkcSq1VbjqcWEqkDgOgVX3V9EWC1qpFySZKkSiNgEuq6inlLCYOBjfpBw2ZN3cTkb0HE4xrX5WOFNj8sQEDpBXxLYWBSEptphaKxJDZFJEEkwRilEE3SVL38SULVlDF5XBgMdBwWg4KAi/pUMJEwuDUWWwPLO4eNOU7Wal6Tc57GRb4s1ODTaj8fDaUkVgELdW06HlCd9MbqRETve60VgM7V3VhWD3FbRakRDGvb5xDwqIeqiVxYutmTJHlMQ0gwJkHdXxYxoD41JQ821pCYFO/VM9k0PnKGGcTAYxf2eOKRc/z6z/zELnz57OUbPPfCra668OlLN3sKhw30BlXEaJizNR0xmRQMhwNGw5zdnS2Cb5hsbXUJiUmSMJvNyfMB63VDllnq0rFclzSVw5qENMk42J9HxddooqcNsVxeS+6LQR5dtE3MQ1Cl2NRQrhvSNO1CMiEmMK/Xyp1UlY4itSyXS8pyBaJeDg21NR0lwnQ6VRLLpu4MqhACh4cHOmON7uzDw0MODg4Yjdqy+hIfPEUx6F7Wy+WSNNXBdnBrn+l0wnA4jLQEDc47bty4wWq1wnvPdDruktqdqxmNhiwWCxaLVVTOA0IIrFYrlsulJp8XyssynU44ODjAGHj44YfZ2ppy48Xr3Lx5EwcdFcPu1ja3bt1ikKsXLDGCwTMeDiCGq+pqTWVVk81mR6SZVgO2RotSRtiYoKsGjRVVokr26cmzgixTXqjxeMxwWFDXDVWpfECrlRqJTVN3M/nxeIwYPc98PmO1WpJnOaQZBEiT4+cxn82YHR1FD4DOIm1isYmhqivKco3zWccr1eaqtN6DptYZvUE42j/g+tVrlOs1i8UCYwxbW1sczQ5ZVxoCstZi85xytdREfWsp8ozp1tkulFqu11R1TV2W7E77kN/9xMc+ejG+OHVy5lxbUu81Zyh4rDFkmRBw6qXA4r3m5wjqwWwMBB80CRxPyyMuYjrvpPcO3zg8jrKqcS6Q5cOuwrSdhKkcrqs+bb1UbXi/rWxN0xRj1RhcLBYkiaiHzXvqWkOYxagAQiyc8LF9mgtlfR0TuYkVh5H6wMfEcyOx2i1gJAEPtW8QMbg6ULoal8yjsaZ8a5rHqflZJjK/37x1TT1eJsEHzQE11iDGdyE3UOOxoTWQbCTobFca0GfjnMfaAKlQlyXOVdjoycrSlBCSjipFTFxxIRYUGKP8YbpdiT894L2+a9px3jR1fA5tAr0SgracXmoMBRJrsEkavVIGNCipuV5GaGqH6943BpEUmkDdKF+d0HrAJRKdui6P1TnHxbNbPPrQLr/mbU90nrfrt2Z88PkbPHflRZ69cosPXrrJiwfHqRZvJrypDKrhMOPM3jZ5njDdKrhwdo8sFbLUYKwycJd1DUErxrwPrCudaTRNFatTEnwQjmYLRiYnOE9ZeqrSUVeuq6iZzQ501hOUeE4TiYVBkbO7dxYLVOuSykfOEyMx1i40TWA+12RoraYBIqv1cKi5Qcao16KqK9YxjNUmkW8uh6LcSPq9Ta7e29tje2vacU61eTR13VBVOkhyk3fn8TFZNM9T8jyn8TUvvqiJjGmqxsx8oTlPLf/TMR/UkNVqGfOfHMZY8jxnOp3GyrJBx+skIp3hVtc1SWK4cuUKH/jAB/ChYXtri+2xhsWMBGa3rmFcQ54XiHO4es2qhiKGDFtlsFwuuz6gOWY6m2tfCEDHxp5lKTayszdxtuibhmyZYa2hqkquX7/OarVGRF3rIjCZjDt6ivF4RJomrNbK0TWdTrlw4SEIgfWq1OVlRPtCkqQMirwrJFgsFhwcHnTP6eGHL7JYLDg6PKQYT1gnKev1inpdcu7cOeq6ZrFSbx8xL2o2mzEajZRTpyxZLOa63Iz37O3sdJQOxWDAaDTqvGM4hw+BbJAzL0tle89S3voxF7U6ss+puC94/JHzmoQcdJki59tKMBPzpdpy/o0lhQQEH6vfBN9uNxCMwbTR3BCwQrcsjGtq1iGA2GjoJ91Eo6047cgtI1oqj5Y+pKVSaENqAdUJrlwhonl96pUNHB7NSLMUY6BpXLfEFGjYz6pFH71S0RNmDMFKG7mM5J4aOvc+gIcky2iaQNNUWDuLBoymQFRVqR6cEEgTbVfARJJOwaDLNzVNQ9VAmoq+D3Agmk+YiJBluRpYUa84jarqPQmBxjucqwi0z8bjQxPvl+pV16gBbCPJpy6XAxAITa25W3E5KQ3N+nj/1RNG8KRZDoQ4eXbduREXjUGjYUVRSgdti8W5yPsl6ITTCdZC7Txl5UgyXXJIqyBBjTfpnvcxv53QEquKCOf3ppzdGfPZn/pIl9u1P1vxzJV9nrl8i6cv3eTpSze5enN2r4bMA4M3lEElIkwmBVvTMbu7W4yGAybjIcUow0hgvV7w+ONvYX9/n4BnUhSU64rZbM5ieRCZeRPSPGO1rkAim/RqzWKxoqxqslS9Et4HFvOKlXjqxlGVqhwacdFTMaCuV2oYpJZEdIkFUwcaJ6RZirUO03iCUaZjAngXtMLEpKRpnC1IQpomrNcVVaXeq9FEuYuaxm0Qc+qSLSJ0Sd519HAcHh52s03v1fDL85ydnZ0u7NdyUSVJghhhsZh3s9HWG+K9Z29vj+l0Gq/f4IM7JsbEd/lEbThiOFRepOFwSF3XHB2WTCaTLuwAylq8s7vFYrnUAStKYOecZ1QMWc9nHFy9wfmLF5gdHnNntQbZZol3awi2CbOt3MYYEpOQZRrC0lwU1/HEaA6avrRcrJLx3jOfL0jsisnWFsVoRFmq0drUHucb1itd0qXNMWlnotaajsrh5s0XCXjGwwmuq/5pOoqDsiyZTiaMRiPSJME7x2I259mZtnVnZ4eiKJhbS55llGXJfD5nNBqxt7cHBCaTCfv7t9jZ2eLGjRus12t2d3djmHhIYlO2Y0L+bDYj2dkhRMZ15xzz2WHMTdvGSGA40Iqu5WLJ+TMTLl09OKGR/ebBhbO7auDGdSB93XIYhVhVm6g3Iej6em2fT1MbJz4lYjPqxlM6j5MEk1oMAcFhgtfKPtfE8FWiq9IJGtISHT9toUxrTG3yUbUv2DbPsfW+tIzfgiOEmqpeEbzH+YQ8T0lSQ1HkSgHh1UBp+z6hzRtyBBH1uEhcw9BqEYo6rAzBOxIrZHkePa4po/E4rgpQqWHp2so/Dc1pJaxVVnWjRlgg4ILmMmkIUtewdLFtPsSUBjxZnmMkUJUrXBB80Jwpa61WS0ZDL7Gap6b3T7qJmk6upTN4tZBE8J5Y4KPs9AYlQgVlTnfx2NQYyug112ZJDPOFqMdqjDR4G5SlXTzWeIpc5XMOXMwDs0BVO5qqQYyndo3KH2+ZGpzHBMGtPt2cYCuh6kvDv9Vaq65FhOk45+2f8Aif8YmPEmJKy3s/eIOnL9/k6Usv8uyVm1y69sbTJ6fSoDJGGA0HjMdDHnl4l8m0YHtrymQy0lmJSbplSeq6jha3Gh6rmIPTuBqJlROeQFGMGBklT6sbdREnSULAMl+ULJclddWwNo7EpuT5gKPDua6rFdQFLLQcKS7mDArWanVJkhga19A0cHiwoMwScFWcrVhCaBfb9bSVPIVNIudLoomSHg4OD0mShK2RhoBc01D5Jt6XlmxOuryHRx99C9euvcDOzg4f+tCHyDLlr7l16xaPPfYY6/WaGzdudB6SunaRRyaLuVTDzvVcVZqQvb+/3xkgu3u7GCMcHh6ot2M4YH9/P5YsO2azWeetEhHqpiFJhCqup5fnA4aTCWIss3VN7VT2VdkoJ40YikHGIxcewtUVL9682bGEe+87Soe27L9dEqPdl2UZIYSuSskmGWmaR6VwzDOjeWZJDIMakkTI8oLCFaxXS2xMgL916xbWJpELShmdfXT7a0hzAeIZj0ecO3eWc+fOomuQVaxWK4qiYBiNlCSxnDlzBmMs65XmIYgID507z9HRURcSffjhh1kuF91nb2+Xus65efMmWZZ0HqcqMsGfP3+e0WjEiy++iI0VlABZYljMjmiqdcx5Ubb5KnoXdrZ3CJFqg9DSe0yZzY44tzfuDar7gMcffQixOuaV4FvJLiUcv+xDEKUUENuN9daoaRqHkcg2jlH6jeiF9XEJIrEW11TYIBRpGsk0lY19g8eyG2Nw7M1tE9A3V1FojSydzHhcs8S7huDKuJ5dwCYpgzQny2wXvmpXGdC0AocRWFfqRW9f0o33SGjwjujxnuCjFydLM+qqIUszpuNtjvwhARerdjUMaI0uKm5Ma/wZWoZ156BdksYaNWQ2k+1bI9JHrqiqWivtBEqWm2Z5pHtQ/d+SJrfPo/Ui6X0M8XmZLkTXIsTkcqUCc3rPrJpWGBOZ5C1NpUTKTdkac5rbmgwGZGlKVR7hXNDnHdc0XK9LArqeYcCRpCqzr0UNxwDBK4Fot+JCNC5VttDpytZ41nYd36PjBarDcdGCNV3SvYjFJAmf9vFv4VN+xSNUdRMXkBcu35jz7OWbPPWhqzz9/HWevnyjM+xOIyQ8ANIPBln45E9+jJ3tKaPRgMRqQvFoNCbLclarFYv5Eu9DnI1lxwM5LLE2IQRYLNYcHc3iAr2G0WhMnmeE4EkSi7Ft0l8dq2MSykp5fDytha7cSmk2AAzlumK9XNM0njTNqcqK9VoNi9ppqKglylNDrSFJNaylgzgBQddbg+4F713DKDfHL3pr4mLDxwpyvV4ynU6pqookMezt7bFer7l58ybn9sadR2S+OOrCTa3Xpl2IN89zHn30YYbDIU8//TRlqaEiI1DXFbdu3aIsNUF9a2uL8VhDRd570ixlOCy6cN3RkYYxd7d2Sa0mwhsr2MTimoY0U+JJXdah7hRTS7HQeolcXZElCVk+YLFasyorMIamccwXS12UOC61kaeWvZ0tLpw/i66K4SnjjG+xWHB4eNgtgNzO5FsW8VYhtguTgrrmV6syrqGlL5o0TUizBEPLBl2RdpVAugCyCVr1tHPuDM45JuMtbt3a58aNF3nssccR2krJktnsCB8c0+mYNFWPgoYCx8xuHXUzV2OU76f1arVu9XbNtHZC4Jwu8myVGbE7rjV827L21WrVLXacpmnHK9WFbZqGLGlfvA2Nc0y2lI/MxvvkvNPcgrQrYAAAIABJREFUqfj82r74r9/1i3z3D/7Hj2p8hztcqf004/VaHPkb/sBX8llv/1TyLMO5WvPnXB1zXtSDo15UQ93UVGVJQNnyjdF0gaZuQ3QBa4TEmjimA945Xe8uKHO5shnoAsQ2SfGilClplpImBlfFa8f8wtFopAY3sFqtOuqO9qUawpqWa6kttMkie7uynBsa5wkeLa7xxAXSK4JbY4Iyub/EG9Ku/WcT8vx4UWElEDax8CRnXS5JMkdZ1tSxcCXNcspKK9OUBkKjAc756F2PHiMRsm5ZmPrYw26UnkJXdTjOG9PCmaTz3AOUJlAFj5WUPBkgLiHUFuPQvCoTEBvwKLmnINRNTV01SKiwLHQlhegZSmI1YR0N2yRJCRDfGZGyJlLneB+omzk2ybo1Atskfmv1fVbVNWXZUDWONEtiukZDVVfkRjDtfec4yV3zxtS4bSfsaiTWbb+PPdeRmDaUqRWJLf+WscpQ74MSkLq4ELZWoMf3eB1Dl0TngLRGrzoNrrw445nLmp/1zKWbPHNln8V9XDT6TnXYA+Ghmk6HvPPXfhrlumJ/X2fB29tbGGMjf1LCYJDH71lciDOJ1Vrty1tzAoaFLucBWko/GAyU38fVcWACaHm5sQnJgOjx0Bwo9WYJZVnTNI7ZbIE1uvq5YONAUy6S1WoBIVDF+HySpFiBarUC17CuNbSV53ksXYaqqrtYuivXndtcOVJCV+EhQpeb0DQ183nZeS2KYYFN0uO8JCtMJpOODybPjz0zeZ7z/P/P3pstWZJdZ3rfnnw6Qww5oAagUCDZRjNRumhr62td6Qn0SHoHPYTeQS+gW8kkttgsACxWVVZWRsZwzvFpT7pYe3tEUpIRFw2wmqCbpaEQmXHihB9332uv9f/f/+0/8vbtG3KWsVDXdUJbtoavvvqKZVkYx5EacSIOGItfV96fTzw9PqGU6KV2/Q7vV9Z1lp1M2Um6YuH33qPrzi4lKY7q+KDuZHIirCv3jw+sPqJL4OrlcsFYizWGeRpRZA77G/aHg6AdTk8MQ/+JA+nmRmJ3fvjhB6y1vH79eovTqa6jipOohYU9NNto0AfRajnnmMeJeRYkwzxNDEPHmzdy3s5Pj2ittrzAZZlLrM2+FB6K/WFP13UoLZ2lamJou2a7hoemxa9+Q0u8HKfEEIhK4ddVMgSt5dXtLbvdDqUUDw8PjOPIMAx8/vnnmxi4jlTrw10pxX6/Z/WepmQP+hDIxTkZUmBOAWMNISfO0yj5htoyjfNWmFYiNsDnv7j+0z4U/kyP3/z6K9CGmMGHxLpK4WOtRjZ7tphD2AqCFOXfOGeLS6uyH5UUVFWro0STk2KUKJcUWeapdEgcKVsiK845QRpoVQKCJZzbdZZ+aMtCVzRCheNUN1HWeLSVLoYiyM/MEHzRZjY9MQS8T8SQIBtSzugMIWVC0XqpYolTSlEQVUhnxEtRmLN0sI0lJ8U8XTBOCiNIOCtib02mcQbrRDs1zyPGWpQy0kV5UVDlF/divTdzer4XKtEcqrBc3uNWfNGiq0MvJ+I6QVBYHNFHjtfXGA2Pl+8kB7QUZKsPmBTIrFuXPQRfPIBKXI0pix6qFIMpJ6KV+1nQOwl0guDxSOGsSz4iKJRfsMZwCZ6cEtNlJXUtKEXwga6x28ZXNL+6/J5p2/y9LKjqc6b+Ow1FvhFJSYaWIo2RzqjSFte0os0yQDEHyCgUyUzkGdD6/EeugS/fHPj15zf89//hLyFKc+PH+wv/9+/e859+947f//jIb7+/4+H0rJf9lzh+FgVV7ZJVseXlMnJ//0DOcDgcOByOpCzizOwX2lgKBnQpUOqHqWhasYvmzLa7VkoTfABVk8vjpqPp9kfev3/Pux9/IscscSi5WGJDYhpnbq5umMMsr4E8IOYpsM4zRisRhWtFs9/JbDl7go8YMn4ZSdHLRb+5M2S35dqWGGpmlcIo80IPJDqonFMJB5YOQu1+gdo0Ql3X4BrHsixl17huhZpk4LVlVGU24XfbNsQQeHx8ZBgG9vsdfl3JSVLhbXkYpRA2HlHf1ggYNpeIdNtkN6OVkqgJY7g+Hp/jT8q/qZlTWsnI4nh1JGfF/cMjj48P5YHb0jiLs3tSCFhjBNoZPW3jQKkt56vusM5nyauqzshlkdy9rusEDTDPW4fIGENGl5iZWHRlpryexXsp7pzVpUs0bS7Jvu8YjkfmeWGcLjhnpXBZF9FZWcv19XUBh3ZlZ5dZ/UIIKzlHjrsj1tityKuuOmMMa87sis6talLqOZumaXMazvPMt99+u2mj1rKh6IaBDNiu4zROnIvLr+s6rDakGLi+umGeZx4eHrZOVc6Zu7s7+r7f9DG1q1cXypt/c/r90Y/Xt9e8unmFCIgTWWmG/RFjIIUVH9ZC09ZUcr40WRU5JEL2KGVFj1ncWqkIkXMW+75Q1WWBJgtDaVv4gizKz9l8oWykGsEBpJqrKVFV5ETfyyblfB6JYcYSSVlvnRVULjR0Wdh9WIWDlDNh9eTsUVpwBFKeyKhLm0yhoyHFWe1IZXLyxCCYA6XBUMZUpEIIl65IhZzGnDBW7ivXuPL7Po+stNGo9KwVq0cuuYI1dWFd44uRXo2Oee6k6dxh0oLTCpUzIRb5AYJ8adojIa6sfmYNJ7Ka8PHCtDzCZY+KEiK/Br91pnUZiyZBrW+fTS4dO7+4gjlQGCvnQd6fuAyNa3BJosBUFMBojol5mlFKxPwxeLJ9ftbkWPlmn5Ld6/mRDvsLtARg7YviUutyDcp1KoBVcbFTpkCCyFBbcyGnKr9gixGSz0f0XLms70ZrajLA2+sdt3/zFf/hr7/AlOD5n+7P/F9//4/83e9/5Hfff+Qf3n38kzoOfzYFlVhsLa9e39J1Le/evS8W/LiNN0AxzxLQOSzSAaidhhASMWTZ9Zi08TqqjR805FSo3iIiPp9PLBfPsniurq6JMeHXwPlJxNa3t6+5ubrmch7xfiGW3aIUFAqroLGO7jAQUyCFCW0UfWuYlwllDMEHgp+xrsW5VlqwytBYh9GJpDwoaLuOYejp+55pulBRCs+iULaLLMaIHVpUFtjlOE4wSWUuSALzybjm6emRlELhNkVCXImXmRQDzmhyXElZtErzPDNe5AKsYujXr19zuVxYS+t8nmcaZ6FARCuCoI6v1nXlfD5vY4D6PuooKufM09MDV1dXeB+Zl4XP3rzFNK5E2hhSCDgrJPTpfOLpKTD0UkxUKnx1IoEUJeM4cnd3t4UYV9L709PTxlaa55nLeKIfBiBv8S+ysc1FmK9JMRSQqGK3G+i7DmctPooQVFyIlXIuhPc6RpAxo/CnvJcFJBMZxxGrDH0jrzX0/VbkGmO4XC5bx6l203LOm2vPOsfqAxGYfeB4dSXZi7s9bSuj8WkchbFVNGQSOyRF/zSNrItkOA7DwG6327qe9Xxeldesn3cFmX7x2c02Nvq3449z/OXXX71wcEnkiHUNXetIqcEsdSO0cD6PpBSw2hINJY/Ts9tfUYupukCGIiDWdaEPQTYTxtI2fRm1AKbFOhkjp9JFdtaglCVHKVZimEg5EIMv4+ca5B3RBPH+54RVQv9OZIgesjjHog9obbHGkZIuIzj5t8bY7dkqfxK6dilIwmrKiZgTgVAsf9INIastBLneUxSGk1HPrjpjHCmH7T4V8b9ol3LpukB5D1pvSu2qda1i88rRqkdOmkZpjLJYlUF5ovagBBaa1MIPP30jkpR1AR1ZlguTP+PDhWZ1pLiQooziSYCWYk8b6Sxao2kcxFS5WSvLInwrrUUmIe9Lo63BOodzkqvomq5cU5Y1RLyfcd5Chrh6lpdrjX7WT1VHXy2mKkjWGLPpVYWFl140Mdzm+FRKxnh1RCu1dCmSSzEfSpdKKUF+KISxVc+uMQbKZyrU/NKli3WilElF4nG9b/mPf/M1//6vf1muecN5Cvyv/9vf8s0//sRvv/uJdx8e/2j38M+ioKoXaq14rbN88cUXBQEgF3ffD2UsdOZyuUhbum3Z7wdAIGghirtDGHRyYQl0zpZCI5XFTsi6zjWsq8QOPD2euVxG2YEYjYqK8+mJ0ilnP7QEq5iniZQTzji6wZFLlpTA2RZxu+13TIu8hxgTyxrEYaNSga2ZohMyG7Ol6nW8X8uormG3e459mWbJ9as6qRADrTXl7yfO59NWNICcm7qgt21DiHA6C2DzeDzibEPyaiOtVw3P+Xzeuls1b0+p5/w3yfN75Oq438SpdUxZ5+Hy/1X5XGIZEebSShfHztXVtYzu1pXD4QDANM84a9kf9vhlJedA17VcHw/sdvLg/1hE6UqpjX1T2/TiMpQjvuiIdV1H0zRldy3t648f77bMOnECBnz06Kjp+pa+u2JdFqo9PKXE6XRinCdc2zIMPdO4bB0dGS+qraskO8wVYzTHqyNNY0W7p/SWhVb1Gi/HrTFGur5HV6eVMTw8PDB//Cijk5x5/fo1XS+g0noOAELwHI8HasG3riunkzw8rLW8evWK89PDpq8ax3E7R33fbwVnXZxr96oaFn7x5sgPP/7xHkZ/7se/+4u/wLWdjHtiQCHSgqbtIDsUwlUT8KV0yk0Zr4lmUD7Xti0EfSUZdCGkMqLKhc+WSlFgNh1QzgnlOkzho4Wwbl0BAB8Cwa+FqB9Fd5oiMert+rPOlP4S0hEhS18qJ0yWAiWX7jQUQXRMpROECO2NwVYaeAaKUUf+xNLcSGgtIz+tM0qF0vm3stFD4YsGSLSSpoi7YVlkQ+7aVmJdyppjXug968ItHKbKAKvFRS5f45MursoaworKgawSKc+kMJPySggr4zwxTgvT5FmDlcLGQ6LF2Z6nOZUsRcldFFqERYWM0lHKjILK0EZh0CiVMHiMzuQcSmGln7to1mKddKmscfgQ6bo9PkR8iKWLBMGvhKUWLGzE/Qp0ruejwl1fmoIAGSEXm2BSkAlFKiCvL8HUBpQh51CKQY2MB9NGsVcqo3LcPutciiqRqFQndtnQ1QItJrLRJTf2ucvYNE3hhChu2o7/8X/4j1Ra/Th5fvf9B775x/f89rufCqz0v0ye4c+ioKqzWGEmyQe2LmGDU0rK+XOcR3WYyKI603U9TdOR88I0Xpjn9flGAtZ1omks+/3AeJnwPvDTT3fSraEBpDswjiNd29I4h8oScquAtrX0XUvwDXMrtt3GWYa+IwbRISwqkeOKzpn9cOSzX3yOUprLNPPwcGKcVlLwRJXJRMnLWiNNqxiGnhry2XUtfd+htVxIbdsyTs8do2WeScljFLhC3G0ax+3NW5TKxBRlnOga1nVBKTgcDzhnWJYZEejbzfL7UnfzkjtTi4hL6VZVXc1G7S7/vj5MjdFbOLEs1B5bxdAlSsUoBTExzTPz4llKAVGvgWEYsM5wPj/KYzkljIZmGApf6WnbuVZKtPdeujflZq/ibGAT2zcvMAOipbJFByXdl91uIOcGtRtYirYpxlS+b5bCPiWWedz2TSLmXAo76kyMmbbttgJPnExy8wth3gMJV7V/00Qo41jXNDw9PRFjZL/fb0VW1YCJUN7z448/8stf/xrIzPPI3d1l6+5eXV1hjGEcZeT5skNV9XTee25ublFKPs/Hx8etuKtFcy2cqx6vft88z7y6Hv6toPojHr/5+ivqHl1y+WR8giqjuZy3MF2tn+OCNr0PwqiqnQSlVNHSSOcip0zMoSyWIjYOQRzJqhQcqUBihfgtXXIxQUh+pNJKRMZZEgrqZkrX90mNc66aSSlGUhKNaXkki0nH6WJoifiw8iy8r6MmRCsUPWRxASqV0TphdBYjjwWlMzlrtBZHdUqJkAQKKt0SU9yN4uqOGQbbcplHcsq4xokT8YV5BQSrkJIqC7eM/eu5qJrSOp5XPrD4hZgj6MTqR2Z/IaSFNSxM88IaMgnHtAp2YV0d6wo+ifkgxUgMsk7kVKODRDtltN6E/eRynkr3SCvNlTNoncufgDGgvYd5RpWuUcywLAJvTQkJUS+dIaOr4F6gsLVhkZLd3JxVR5bSc9zQhtMp9lBtKONTEZWHEAlRRoaxbIS1lmd1nV50XV+6a5CiLzKYXF5TbTKH5KtgXctYUWcq2FRvncSiPFOCvVi9L2T+4j5E42zDf/fvev7bv/plcUo6fAj83T98x3/+/felk/WBv//2/SZH+kOPn0VBVeGLOWeGfofuDWd13roCMr4yOOe4vb3dFva6qNexiF99KQjEhptLa1fCaBXnc4/WfHLzJiLKNNKpKDdUWFaCX+mGnuvjkf2up20dpCg7RL8CiV3XYbS48cbpwsf7yLLMGO354rMbDlc3fLyXrtC7H+84n2d5KFlLTqCSKoWI3yzv1eofY+Dp6UTjBIJntWALnDUc9zvG8UJKeeM/DYPQh8WlEXl6eir/JpSuR1NGds+jwPHpiTdv3vD27dvtM0gpbZqjaZrKaw+fdKLk/QkWQSuNLXlXawGH9k1L4+RmW9Zlg40u87x1RlzX48oIsG0aib9Q0nrvmgZnLeuysMyz0H9r8ZcS1shiX7U+NdOu/pyuk8KmXj+1Q3U4HLbfQ2JvXmOt5e7ujq7rOBz2tI0TEKhss4kxFqBqzzJ1aGMYl5VlGTftgvw8w+vXb/nmm7/Hey8jwsYyTSMxBqyRDMJXr15h1UwoOoWu67bdX2VnVcJ83TTUr9XR7/39R5qmYb/fbw/5KiB3zrHf79FaF/aUxIg83D+U0WG3jV+vrq42K7TWmv1+z1VJBahavhqqDfDl57f8H//ph3+JR8SfxfHLLz7H+0AsxhjhJomeKsaFGOSaSUU/pRCydu0kav18zcQY8GsVcBetSxmnbZsoKHpLMK4hJb9dY9aZojdN4kTzntY1ovW0GmcMStXOWHkOJyQPUNoH6IJhkCKvaH+yLJRiTgHIRJXIeHKMJBVIqkHnijeosgFV0AayyCJTILTJZVTkMFqcczkr6RghbsAQIyEmdFY0TYdDgbFY2xTNlei36r2wde3Tc1B5jM/5giHIf1ccjPceNZ/LRkZE5OM8sYSFSGSJKyFmfJIF/ukkReOywunkebg8MPuLUMpTJMVA9CsxhHLu2Dpp2ijapqVtHLaM3xqjWfqWrmuLDMKQUFgr+BdtMjpEDIl1OaO1wYeEUhPWNkAuBY3e+Hl1A52S6HCrqacy+2qBIqLyl4iFZ3K7wFrlM15Xj3Etwj57pu5bI1mM1latmGFFivVcsgdrASiMMwl8zjqSi2sy+BUVnx2Ymz6rdMisbVCIqxClxBmbZeRoCprIOsV/85df8NdfvynPXAfK8vfffuB/+p//lz/4Hv7ZFFS5iNWenp5QSnN7e8uyLHz33fd0XUvbygy4XvTTNG18nRgT+71DoZhnzzjOm/tEIRWwc5bDYQ8k5mWSlnVOkBXr4pnmSVAN/UBrDbuhkcDjoaNrLYehZ+gbFIllvjBPI0Pf0dgGrY9M88husDw8PtA6RdtovvjFLcfDHmcd67Li1wg4dsOelDXzcpHYhCy7N9c0uKZBZWnpGgN942ha6WpYY9jteprW4v2CLiTby+XCx48fsVYWRWNlVyXwzBq4XEWAzy3b6u6rYbl1pLjf77d4ExAdmgjnzZbtpXOUnUguQaJZdjbDMHBzc8P9/X35LOHNm9f0fcc4TlwuZ47HPaE81JyrDwYgpzIOBXIkJ8kgE9JxFg1RiFymib7rthFe5TW95OFYa+n7nvt7CZN++/Yt19cyZpymCeMst7e32+/+9PTEsky0pauz3+/xy/xivNzw9HAvGY3GSRs6Sd2llVyP4+WRv/rLX9O2LT/8IIWH0WzFT6VJn55OuPL+XjKyXv6pbK1a6HZdxy9/+UumcaIfet68ecM8zwL3rF2olIlevj+GwOPH+/KQK86/XU/btds9VBETlaBfP/uaA/lS/N/3PV/98s2f6pHwZ3dcHQ/cXt8IaqB2V0qweUpRUDBI53iNHpI4vYTkLwHXWRpbZFIRlOcyakaC2dWzqBco5hxZUH3MRJ67TV3TkpNAipd1EW5QzqQs8vJavNWxj1ZKKhxAxmPy7MXIAgjPC24sChlVaqqcMl3rAIfKkGIopHcZ6yklBVk19IhoXax/KYmWqnEDSpmy+D6/vkS5yMKujKZtGlJGwsIHeS7n6DeQaX2fsRDqBZxqydltxWh9Blax+LIsKP+RJSTWBUJUjEvEJ9CmZQma87RwnhZO55kPD4kUG1avOJ9nLmki4skpkAsNnZxESZQkZgglocYqZ4xJGD0XOUrCpshPreN42HM87On7Huca6WQah7KOkAzaNqg047Ro0Rod2Q+asWQxigTlBX8ryXXUtu2L8WbcCqzanWusGA5qjVwhpiCsq5gkjFvbdluDKAVzUmJeCBGCXxBZjpaOVjFFrF60u6YExMfNra/Q1tCX7EK14WekwKtddtmsqkLgTxLCpCQdpU5IXFM1aDIyVtqgleUvvvwFh13/B9/HP4uCKsbE5TwVcZt8UL///becTieurq6wtmVdQ+lUWa6vD1xfX5NS4sOHO0DGY7m0NLWmiJ/FEroufnPoVc2AsZbWGlzTY+zAd9/9I9F7VJ/ZDR1D19JYzTJPnOYzTgcOu1uOh4F8aBhHh7MKIrSNo2lAq1sOh47VBxnLGfjF2xvIET+PaDxPTyN+/ZE1SGK87m5oupbWNYVLEjE50TbSNXNaEZMQaAFOpxP5lLi62mOUEVcidfZfdTfPoknvn2+QYRgQ668UHm/evmW/2208GWPMls93f39f4JVuG8VWfZSgAHpIVaPV0zSWeV6Y54nvv7+UDklXNDqhFBOK29tbHh4eMMqgXcu6Lix5xlmNUZBCJPgFXzp2x+NRgnyTvL+r3V50bEW7dD6fOZ/Pn7jgqruxZuq9f/9+E1k7J0wc1zi+/fbbrbtZxZgxBB4eHqT7YzSXy4gxjmlemNfMeYw8Pn4UhMRut4nBhRcUNgjry7FLhS5Wx2Hfiih9Lh07YHtI11FHHftV3tbNzQ1v375lKb9DChE/L1BI8iknVr+gjdCorRm4jBfu7+9JKbHf77Gl4/ByjFezFOvurnb9nkeXsshO08Rh+Fk8Lv5VHr/59VfiTCOTVd6ctkZbfAwbpkDFLHlsIYBKG0LAGMPkPTZKFl6MsWgsHZBJOWJUiTsxqrjl0jYiTJRcOSf/PkSJXKrXNdQNl4JsMYWlBlWyoUDZIhRPJcIkl03Sszst5cpFkIU15YTimYpOyoSctk2A1UZ4TMW+T6wRPIInyVEgzRVBkEIosSnl9VMuuTyanOVPItO4BqUNAhsPOO02DU4ddW4i6BfjwGehdt74b96PeH9imhLzDCE41tAwzpnzODL7wI93HxnnhfvTiUjDGhTLkhkvC/3tUDoxihQlJUJRgq5VxhorWrksRXBIEZUTGoVREFUgLJGTH/npVI0ERSDuHCjDunpihm7YC+LGNmhrMWlEhwuH3rHvDH0LVksxIrmhLZV7V+PAtiK6TIesakqx+1xwCdmxauvNtpGvjRP1YixX0Uht1yL8q3L95ERjHMZa1nmRzbaxxFjI88XpbpwTfEZ9zQIN3WKYUkYbiy9uwgwoY9HWYo2W0XWMoIIUrxnmZWFdRinUN3n8P3/8LJ6QCoU1DcYInXsaF5SyfP75L3n16hUpRU6nM+M4Ml7GTXQm7VYpEJZlYRpnzucLWluGQbg61Y0FmbYTV1gIa5k1a9ZlZj0trLM4LE5PD+Q4cHM8cHt7ZJlGHu9/4unhgeRHGvslb968Yr9rmaYzYZpotAa1govsrWVZIj0TZr2nbeF2b1g/uwI8j4eJEDOPp5GPdx+lba0qvwOZExdxoDFKdlDUZPK0taL3+56h8IlCkAdezhI4qo3auF2ipem5ujoikMpxG+VcvBdUQs6f7DiArfvnvd+6FrWbIbwZxfVhQGvN4SCwvxDuEOhbfHaRPT5yPp22jtibN2948/o1PiY+nCcJEG06urbBqMR4PuHXVAjf0lnTWhVnn1z4w36PKQ/W2nXKOfPu3btPnH/n83l7Hz/88IMUBYcDj4+PXN9eo7Xm7u6OuWThrYt0Aff7K0IIPNw/IuDUeRsFXMYf+fyzt0imWt40fVXP9eHDh+3c1UVgXdetUBFCeYMumqV6LWuti1HCbQXhsojJ4fXr16UYljGK9yv39x/Y7Xa8fvP5pqMKYX2GkS5+45S1rYxgKW3uajRo2/aTRQOkYL+9vd2uJ2Ar8t6+OfzxHwZ/psdvvvwMwrQVVVqJbkZ0PIkQA9EvBJ0J60LO1XxexNFKYYySUUkpqIKK2GSIyYsGyOgi6JZQ4VCkE1prbBnHgOib9CrjwGkS53KKAVP+3ntPIG3FhzHCklLoAmQUHUsuRduzfsqionTftDZEaocXfPAYrbFKutW1GyU4gme9J1mKBRGCq6Jx0sxZYTToRjYbMaWiRhNQcwwBHwIxZZSx0l3O0ulo9LPlv54P1zhUgEqfrxvaavSpSJgQAuP8wLSMQMO4ZJ6eApdx4XKBD/cT52llWlcCEHLPEhcCGWUNx9d7LiHIkq0sqqxVOQshH4TErr0qXTr5feUaURil6F1PTIEleC6zjE/r3yslEWry+4GaAjUnMqdI1zraxvDhtNI6Q9c69r3j0GX6ZmW3ZkLMWKOK4eG5uDXG4Kwlrs/jUKEvv9DBaVWMWBpVuF7ANkWwxSyklKZpHDF61nUqeYnIMz8EGXdrcK7jcBxol5XL+ULOkZzVNlYWnJI0JtY14H1k2Dm00vggJrc6FtfG0HVtSbF4wvu1aAstNcA62+fn3x9y/CwKKpTicLiWHXnIWCvBvPcfH3l6PHN9fY0xWgCbKjJeJk5PZwSbYEnF5SK5UCvWSiXvbLMJu5dlflFpL9TMumVdmGc47g9FDJ7RZPquYz/saAwc9l/y7W//M+PTE+u5wV4pjvsOZQLBKprGcNaaU9YoZVkaiyp3QAq5AAAgAElEQVTtekg0znDYD7x+dc1uL+O+3cMTOSw8BU9YMyrVC1RtHJkYA03rCIECsrR8/vnntK3jfHkS+22p/CsMNKWIzoplkZt/XaVrdBnPKEVBAbC1QquwsHahqmbm+vqaq6srYox8/PiR0+lUBNw7ebilSOMUfWE9LfPMPE3s9nvaMuJai4Ovzt/HccRay08/vSdlOL79nMv5zDhNLPNE5wyta+hvblA6c9jtOV/OBU4nwcZJWx6fHmERCF4lpL/MFKvahqenJ96/f79BNK+urjYHlFGaV28/Q2UZmTZNw+VyQStBXXz++efkX2QeH0WE7Zzjw4cP7Pf7Ml4128+p5652yIBNX/BS8F9HfEZrjNIbxb0iH5Zl2TR0lVReo3WqFnCaJ3KOW3fshx9+4HK5cDgcUCj6Mt7+4fsfuD5ePRfZSuIrYox0g4QhT9O0jSH7vt+E/ZU0XztttfD68rPbP+lj4c/p+OrLzzAK+taSU2BdR86PT1gnrli/juICA1LwAu5UJTtPPY84JM5FtDMq581UAYWr9MIxl1KAMj6TzElVKOFpG/eI49fik6RNWKelO1o2slWvGIJEvuS6kGuNzlYGdzkXJIKQstES2psLORviVnx9Er9dEAkE0YpaY4pYXxWJQCZrI+M/yekhIU6zhFScxqkty1BrRwiCi/C+WPmznM/0T7LplJZRq6wX64vO8co4Xj6hxJ/Wldk3eJ95eFj48d2Fn36aOV0UMTdk1YAeiCoSWQlqIakIWYjjmsp4y1DicrJSEMTFFlPe1r+sMinkTbROEDq7qIscOguvypSuoCRihM2Bp/Mzu4ysiT7gU8RqzbwqltXjV8c8N/StwUfJehwaTY6Bdfaiy01BrpumQfPCoKS1bAaK+ScrRYoyxegGtxXKOYs4vR92nE6n8oxeSTng10WE8s5CFDmQKl2uZZ5Z5oUQIqtfcU5vWlSUKZ9rLj8fVh9Q5XymzCatiSEIvy+LgF8Zg86Gihdt2xatIPjEM3D0nz9+FgVV8IHf/vYfUEi3RWnNMOzY7Q7FtaH48OFDGVv1RVdQ84Ngms80Tct+v0cpw7oG1tVD1ptoOReHbIhhi3IBERge9jcs84LV8Pr6wH4w3Bw1N+3EcNSc7j/y+q/2GHa0LnNwKzfDQHt9yzoL+yoD2omIdA1RiL85oojiMNy1eN9j7UrGYI2GHFEfHrjMq2R1Zcm8kpFcwK8ZVeCVIlgXu77SUlzklDGlVV3b7l3X0hfXYM6W4/Eg/KHVF7hk2kjoXdsSy8O2ktbrzzqdTnz8+JGuANO+/PLL7QESY6Rrd1zvRcf0/fffP2uXjNnQC8sixdy6rrx9+xZrdaF6iy7o6fREKrq4rnE0VqzHMQZMpgj8Rfg9FmzE4ebAvC6A2oq1/X7P4+OjBAs7OX/zvDCOl/L3uzLS1KUAmnn//j339w8Mw7DF+1R21TiOfPfdd9zc3GxIB6UkDkkQHj1N47YdahWQV0Bm5TltD+fS+RvHsYh3M20Rer/sClaEQ/2+GCPn83nrehljWJeV3a6ja1ueHh45P4noPseSPZkSKabCM5s4n8+s68r19RU3Nzf89rffsDscN/dfLdaqg3a32/H69esNElt37VVT9ebVnp/uzn/S58Ofw/HV51+gUIVQ3pJy4HwWbphkX16w1nA47FG5E/v/umzRKaGwpEzhD2lgLcRtkToIXkEYTLFkkAplW+nnTL2aK6fKIikdVUf0Vfiuca2lpjpUQ0RFH4Q1kpOXzofrCOsipgxriVFGadqU0U3KstjlIJ2mkFjDWuoKg9GmaL5k01j6HpvwmOKJ1MWhuIl46vyJ4lCMHlRhSJmGttnhg2xYjbEsU0Rl6ZA9m19qMSX4kXo/zrOM9+v9knPm40nx8dFzd/fA02nm6RQ4nRIxdXTDQMqGWPRnSRswogtDRVR0BbJaO8IJwVDp54sjC4g1qriNslB624zFZZUCsowqtVKEnCBK8ZSQojxl6crVZ5KM3Faiz2glIOpp8Vzmld7NdE7I7NY1GOMEY7AGiAGrM9axGYGUUSI1ccIYc64BJdmTwSdQhr7AWKVgl3SNVM71NE+Q46aLs0bTdY0gEagdRImtqSgLKZxejJOLDCTEiDaOru+JzCyrxyRwTVs6Y42EQ8fimDUW1zQlmq6kpvgIyWBo6qX0Bx0/i4JKRGrSNvY+A4EUL3z46a6MPYTx45wh+EjKEWsrTDGU3U3GOlsW1UAIz06lcRw3PUpWdQ/UYLRj6PYc9MT+Bm6uG66PDftDy35o2Q0Nfee43mn8OpGjZ+habm+u2Q09rWtIO8U4LmQSjJmQM8bJDeTXUVxgw4GuNewGR0zSdj7uW1r7Ctc63j+cy8MvQFqJQS6eZCwpRpTW9LuBbhiYloXxcioidbt1RSpDZLcbOBwPKCWC43WV/K3VryyL6DIk90tuyOPNDRXGWXeyL7U8VRRds+X6vt/O5/iUNlaVOEwsxiiur498/fXX/N3f/R3LIiG767psWqX9fi/AzSQwPmcNfeswKhFX4QBarTYuk4S3Kob9wH7oubm+IiwLGiVFl9Hc3t6UQtluiextiV3RWnM8HqloANGC6A362rYNSmn2+x2Hw5Gbm+tN+/Tu3TuWZWG/33N9LV8/lLzDOjqto9Cmabi+llFi7TbVEV+FZdb3dwpxA6FWVEHbttvD++XItWmareiTLqYppGSBqT63pDNziRJpGsfj48xu1/Pq1c1meX6JHKm6umVZeHx83HRVW6TRi4W26zpub2/51Zev/62g+i987Iaev/z6a2IIXC6jdN2jiLJzSuSkhE+XZLPSOEdMER8DvojFyStKQwwK1TabFECE544UK+U8Vp8cAFoLMuHleFdri6r4hRfPihA8MWpcY7YReDUUZYRC3joHKWC03MPEtMUlxdLFUkVHpRFx+7IuUpAVWnlKCYNAk9uS0hBjeu5AlbFRLZykYBAh/FY5lAIl+kCOGaWlO2KMROdY05KTLMTeHCGt6DRjk0cTCtg3bCP9EAQHc7mcPtFvzvPM//4NnMYTp/OZZfEo29HsD2TV4qPouLLKbExclQWeqaToIUsxLMZi+WT081dkxJlEqE4R2yfAlwBolZ/5WbZog2TjKxIJrS3GagwIq1HeAkpldLZE5DPRJHTMrDGz+FX0u+rEeQ5c7XuG1uCUCNqdgdYJGFTLZA+jFNYEXBvIbYQuE1ImpkyaJ9TjI0rpzdBgG1fwMaH+2gWHU1Ed0gUNOW+FtDIGq4p2y1rIco1LcauLLEIyH13Tk7AY51hmz5df/or7+3tiFg3VrmnQOpPywhoEdJ2zFGTT7Bm6IxXx8IceP4uCSmmxKco9LSfHaEXf72iaDq2lqvV+5Xy+bCLaUGyl+0NHdSwpZSSewSBMEJWJOdLYyDwvJK/QNORkIBta17Fr4XqAm6sjr26vuLrq2e0a+tbSOY3WO9ZlZB7PhT/V0DpLYzVRK1xjaFvHtAj4UxmDa1r8vPD0eMcaV5zrsDrT2GopzdhdwxfNNf1u4HR6YhxnfBD9y7pEFAljNBhDRsCXWmWGoadpCv9JyQy6ghlTEodX04rI+XK5sNv1W1tUhP+yuxynifPj4ybkfik+NMZwdXW1FQdVz1N3Nl3X8eqqF4s0t5vOqgYW393dkVPCuYZuaNkNA85arLFczhdOpxOTFgdK3zYEvxDWGT+PYhYoIkylNPvDkabpmJeZuCzkUpzUHXMNhn4JIK3dl6pHehn22/c9r1692ojrz0gCxcODiLhfvXq1jRDraK4rBc/NzQ3zPPH4+LgV6kqpTStVu0kvmV41q7AiKFI5z8BWOFbNl+gG0ycds2+//Zbr62sOhwM5eXKODENH18moUt6D2TYY9X0fj0eG4hZcloXffP01tmmZZnEwVtt7Hd28LOSWZdmo9/W/X10P/xKPiH/Vx199/Wu6rmMcL4zjjDFgTKa1lqBEjN40jhSCwGZLsVvhk5ROTwieZZporeP66oawBC7e09iWOUyowh8TXZHeNH1ou13/mVycVMUeb0SCILFMsumLVc9E6bAWOKOzDc5qcoikKDFW2hh2w57ga1SO3rqoTdtt96T3sXRYqqYvbRoqAFOjaapwXB6hsmZU/U4uw5nikiNDzImoI85IYK+z4tTWBkLIhDBDWkhhJacVshRWOs3sVMKqyMdp5LJmptlzGaWTIly493z/45nfvy/Pirwn6lXeg4ZEYM2ruOuKYBuKoz0VaXaUgkj6bQUHBOULGhF/UL5PMAIZjUbGpbn8nhpBTASfS3yYLsEvAmWNUTbc4mATh5tSEMNaPhdAycgrkYgpseTEeHfi/jSz788MrVDgdRYEg7Oa1jpaZ+kaR981sjbqTFaJGOcCgxUT2CV4UBbbdAzDjnGcWEMQXVpY0CrhioZJCmSpsmQTIGNMYwxKF8NBDFKEF1ehjOsk79K6VsZ7LmFcA6ZhCYFQCCI+ysaeHPj+h3eiszJglCWlzNXxCNlBfm4u/CHHz6KgygnWNWK0KWJM6dAELyJspaBpHaBomhZjhGwdQwQV8YvHaEPjLJmADxMY0I2c5NYY2uFIO674JZKjxmDpGkPfSRv99ZXh9vbIq9sDV8eBrjU0DozOOAN0mslK1U/0kIqmy0uMg200zmnSJZCTp20tXaO5zBMPHye6fofWDU6DdTLzzwr6pqHfDZwHcZJ5nzhfZu4fz4QI2moSbG4dAXM6LpcnDvs98+Q3IKNgCjKnUys/A7acvpwzc2EnVf2YtZalFALVHg9sYvbL5cJ+L0T02jmp3Yumafjd737P0Lfc3t6yG3aSqZcyu35Ao1hDxOiIVi27Ycd+J6O5lBI3r2553Q2ElFnnEU0S8OmyknXPNEmR0fc93kdyXraU8oeHB7QWtEZ17t3e3vLu3Tuenp42JtNcioZ5ntntdlxdXX0yBru7u9t0UMJA66V4mGeOxyMf7+42t2XN01uWhb/92/9EjNLu7/t+A889Pj5uoc0vi6yqt2iaZnuNGgFSx321IAY2kX0N964dpfq65LRBSZ1zmDKOMFpjq7NQa968eiW09HJO6jh39QFfRKUvqce1KL25kY7Whw8fNmZX2wrj5te/egv8n3/yZ8S/5uOrL75gnmZqbIdSkZTWFwypJFy2GAtwU2/PSpUTiYwxggAIIXE+XUhRxmTkkhG6BA6HHcZp5vFURtUaazWxiIYrERwoo4+AQVNTEIw14sIrna9nqKPomCqJOiM08RxDcfk9x0NVgGiONepF3nuKUghoq8s4Mm+bAGttEbyLO1BhpMVS0QqFN7Vl8ZUumOjEQGeLtsLnM0aRo0fpBqszMc9YApFAyp6UvDgFV08KC9M0c5lWpqCZU8OkX/Hd+3ve//TA+XHldLIoM+BTJLGQjSKysvpJwpcbU/RZqviKMjkaMmLP11mKh4qDUFWvU4KG62ATEF2VVIzytfyMKshKvjcTC1JDvGk6S5aiUgJejfGZPJ8QXZ3Wmqy0dG6UbGITCVWwQmHNTNHjxhWVYln/AkZleueksHKWrnXs+pb9buCw6xn6lhxXusbRqoxbJoxW+OXE0+WOfa/RrsMrx+TleXk47Njvd5iyiQVIWs7H5pxGImty8gI9NRJ2LWB/yTOUs5dBa9Y1oGzDNC00XYdCtFXGtqw+cvP6DVoHSBKndLlMtE1L9FJX/NdXUOXMsqxiZVW6OPBEYKnLvFkEkpGYZtquwdpu25WTwVlL2zqycqigWcPCusgConRCqUjfDdwce4iJsAYa63h1u+MX1x1vhsDx2HIYLEOraBpwBqwRG6lWBqcG5mkSZ2DOdM4Jj0lltC5E9b5hnEZ8WGjaluvDwHmcSGEh4XFNVyCWpV1qNIPtaXXmUUUe/BnyStMYVMjlHszbwprrz1OaeZ7wPm8L4zzPWKtLG9XTtiKMv7//SEoR6wzH44Fh6BHH38x+t8OXCBNgE0XXDksVvNduS3V4SBt/T98YUoiMlwu5jPOcc9zd3bHb72j7XmB20wVtDKd1YkG6K5+/fYOfZ77//iyYhZsbbq6vP1ngq4anFnlVOP2SgTNNEx8+fGBZFq6vr7ciJYSwie+FG5U2wfXxeMRoCQ6uonUJNe756aefiCHwxRdfcH9/v4Uv7/cDb9++3phflc9UxduvX79mt5Pi9fHxcRNbvsRO1P9NMXKaT9vvKRsH6RQBRWsGHz9+5OnpaStqpEjzrPNEKsWOaEuA0g3z3rMUN+b5LO7Y29tbjBHxe8zQdP12TqqGqrpFz2f5PJwxXB2P6CwRIg74zZev/7gPgz/D4+svvyB4T9OIrlHpyDx7Yigh1Tnji9QhJ8EMaCWjlFDiSlISQ4xzQkRflpW+61GNXC9yL0cgFoNCRisJOdZtC8Vmj1LFPSdjLau0yA6UkhxBL8VU3YTEGEtRl0S3mvLWLYlRsv3UCwSBTOTKaC8m0BLgnKNsosVOL+PCppDIBSoqSIYYY0Ed1A6Z3oqonEqAsKrS4jLGQqGNjN60yqzrjNEynlzOT5gsEOgYPcGvxLCyzAvzNDJNCz7CHOH+cuHd3Zl/+PGJu6eZwI5kEynegRagKEXThc4EPCl7WdOyLoWgJidLTgpIJF1M+ZvTVn6X4suT37H870tq91ZkbadC1TbXJ0ehgZVxoUZpKa6kAH6Oj5EprPwOlfFktEO5hpATMUfWUOKCkiInjVWZ1WvUEiFPqHzBGtj1HbuhZTe0HIaeq+OOvs04k+VztRprNDadajwtnXEo15PPniUHUtejXsgZVPn9c5KJllIC5tbKYGzdEEgJqtDEJOYDiKzBM3Q7Ysrshp6c4doKjNlPF7QWFltIK2GVSYwzjhzSJ/KXP+T4WRRUSiusS2QWlIau1TRNYl2lEOnajl3Tbzv1aldPKTEMA13TYnRJTc8VKmbK7Fyh0azzSpjPXDhhFfRtQ384cnVlOF633HSGvtc0JmKUx6JxRovrTmfCsuCMIjeaHJXwT5ZFeFZdwzRfMEZxPO7wYWZdJ9rWcXXc0fUNyyQcEAHIAQjx22hLsAozWHJ0rKtlmsCoCM5iXMs4C108RKHo9r2M+U6nC40bGIbd1nGqETChkH37fmAYOmnvpucCg2LHnpcFUtrGe7VjAXzSwTgej9vNZ60V0XUK+OXMtC4swdN0LfvDXhbsowjBx7PExfjTM123Fj2/+4ffM5/Om16nIgOqVuhwOFBdahWiVwngbduitebm5mbT/njv6boO7z3X19cbJqG+ZoXB1sLpzevXnE6nrZMUY2AYeq6vr5jnkW+++VBYVs+ZipfLZQsFrfql2iGsURTwPDJ7Dkv+NOZnKePBl85AYMM81M5ZLQZfIhqCD1s3qX4eUEWZMuqTYlra+sfjgaZpeHx8lE6jsZtWauh7hr7HlkLOWUvjHI0TeOn9/b3owcrO7vM3V3+KR8Kf1fHv/+ZvaJuGEDw5S5adMaaM5TIFuSMbKSM4FcjEtMozMimgoWlacamuvjice3JKzPO0mURClA2iCJpFkJt1Fqu9NljtaGwnO/74VLRDM8MgHUqfKdgZvXUQfHbi0Kv6J6OoDsTMc4dKnh911c+lUJNCQ2uZg1VHla6i6fLMSTkVrVAR3xtbYKPP+sGXf5TK27hMawUplkJRFs1oG5xTxPlBhPExMI4iOPdlg7EsAe8NT+eJj08j7z9eeHd34XEMrNmhnSWl8Mm4NOcMEVTI2GzIOstuRxX+UVao7CA7shJ4Z51d1iJQIcgEcW++6FpRdVZQZojPXytffy6+1PYdulYtaHRx2OVUYJm6EsVNGZupoksDXb6WkoJs5PuV4MZ0QVf4lEBXHEKAGJkugYcpYB9GGvtA3zr2u57j0G7/3beG2YIzkrRhNGi/4HxhSdoL+6srSdPoejDgYySuK40tzD4Kgb9suqV7WSCoKeNXz+o9xlqOV9c8nk6EmPAhcnV8zTxOkA2LHwEpplUGW6QeAgZ/Ljr/kONnUVBZC8crBbl5kQ0lEMjqeKojqZeui/1+LzTwmDAKxmlkWReUkQ9fJbkgtLIMXXlgRc/QWW6udtzedPRdJKuJXd9ibUSzSDvaaHKUNmgi4ddVyN5W4/Y7wiqW177voYRIZiIZLUG+OaFNhhSwCuzQApqUZQepyJJHpRNGB0xvUKonBM84XriMgZgUioizBh9WVu/LhdwUcGkHqK3QqGGW0tlTW4dKFm5x6zStK9A2gTqmENgPwxaBUnemKSW6ruPq6morIvy6klLk9vYGrTJLWFlSwCjDfLlgl4m5MFrGcWS328nDtBRFtrhSpiJy77tuK3JqsQBszkxx1cxF9N5tmqk6CljXlR9++IF1Xdnv95/Q81NK3Nzc8PDwsHV4XkZLiMYrcj6f2O12NI3dsg8rnfrNmzeir4oRU8SfOSaGtsOXkUjVZ9ViaVmWTYtUxf51NFfPi1KK6+trbMFBdF1H3/fbe6y/N4j78tWrV9t5mKYJcmbY9VvBJItbs41u64iyatqGkoW4LCu73Y4Yk+AVirZLxUhbupLn85nfffMNMUZevXoFwNWVcLkulwt984fv1v7t+MOOX33xC6ZpxFpdOjsZsphqVr/iGol5saVAKUM1GZdZTWdEayou0IV1jSiVtkVFxmGZZV1pssa2tnREQNu2oAokrsvHwEJAgs0VyxyJWmoC6zR+lYgbYfrJApxWBTEUoLBknaYk2h4puj7tsCgFRhmBN0ZDLj6uRCiC85IhWFxYKSWC92hVHWKlmMhqY2cBJfmigkSf+zuKVLRChuDFku/9RI4jKq+kqFlm0VKep5nFR5Y1soTMOK58/8MHvn//kcvkCTi0adHJFFSEvN//v8w3laTjJ3+fAQ8YKTbVcwn1XGdKYSbFqGTr5TIuLOWOEPFL+fWy2Np+ppxtgIJIKGcih+21MkW4VcuxLB1PivhbK3Ghp0o0l28Synj91kRJ6xDCuKJFKRkphpxQMXHxgYdxxp1XOqewGlpnGPqG/WC52g0cho6ha+icppNXodHFlVjc62hNiIElLLROMzQNyu9AyaiYJGsvBRUB8Pj0RNsNtMOOq5tbni4jIchkZuiy4IuOV5gxs/onliXTty0pyjUWUypctf/KCiqtNTe310Rvt8V7WZbNFg98MgZ6Gc5b6dOvbw7oRXYjxlqUtigVCSEhrlmFztLdOB5aro4NQ6/ou8QwgFFBAhYTJG8IGAiUtmik7zpi8hjTSWHiGi4nESab/cCw65lnuXH6riOkWHQGCWc0FbmfUr045QHpjJVZihGBfE6RcZoZF895Sni/kLJBKQnxbVuJhEjZ0HVHYsxC1y1V+mYn1c8dEeFhyTmMKRCj5ObVrLd1mvjpp/dblytXUnvbcH//ceuEOGdp2z33Hz+W7onBtfUhKpqrnBK73Y7PfvELDocD796920TfWWuenp4ErHl9zW6347qM+Nq25XA4bHT2Ojbz3m9OvdqVqcVU7WINw7CN8oZhIOdcmFPtprFSSjGOI1OJWaiuOa01S9Esaa0F8JoSnWswKJw2ZdQQaJpK2Vdo25DLOZVz86w/q4JwYNM+VUNA27ZbMTmPE09PT+Sip3p8fGS/30t8kDHb5qGGOtefUcGC9bOunb3KYFFKczo98eWXvyTGtDHE5OdEuq5jXRZOT0+b0B0kfudyufCrX/3qE54XsI0t9/uBt68OvL87/fEfDH8mhw8TKRUKdYxM44UQFzJBdBwmk0Mklqw9UiRZKUJaZ+m649aZHS/T5kpbV09YA8aqMipLBRypiKF0QAIoq4oWD3wOpJC2sZ4pXeWcEzHIOMi5ht1wYPUL42Wktx0UW71o9DxhXYT9ZLWEo794BorUpaBBKATyFAlenl9Ki4YqxohrpAuUM1hjt1FiQrpU0CLyIEUu748SKm2QzWRMEZUzrrHkoh2cZyGEp2VmCYmnceE0LlyWxLgGznPgdJ758f0dH+4eeHyaUKaRAHQsKmX5HF7wq/6//hf4fxdbKpQJnS/ljDQAcjk/tUyqqqgXr1T449UB+Kx5+6fHP932qIJUEIcl2+cgxVHpHOYk76EOHKMgfmSMqkhKir+UEilnGu0KrqLww1TFbYhIvoZZpyQxb8Enide5LOTHRfiM/cy+b9i3juv9wKvrAzcHw15b9HmCwuvTVqOiJ/uFJQVyTDizL0DpEteUI42RzqEvjZmrq2t000mBFDOYjFKW83lht+8Y+g7Uin+8AErYVzkSs+j/XOP+mbv30+NnUVDV+TrAfr/ns88+k7DjQp6+vr7e7LP1374U08YYGaczMQWctbimRakGozJrLmC2rEnBM54u2DwzND1qN9AYS2MCiYjNWcZ5kmpFUuKya7uGy3gppOCaqq7RztG6hqik/SjjmVaEnlHcCzVqQZXvEfdrhqyxVgoz3VhwtrT2FT4kUta8uztzf5oLnEyyiurOb9iJay74SIxqCzS2Vtw+SknIZRUi11a4dZqcixW+7Tjs95xIKCXdopwiMXho3IZXuLm52QCgdbRWcQBtp2XMVArfthUo68ePH7m/v9+KCaXUZjO+vr7meDwyTROddVthA8+hmfVz3e12W3FSWTC1SGmaZiuurq+vN91R/VkPDw8bGkHcjWoDvf4/7L3Jj6VZtuX1O83X3M4a78IjMjLzvXrFY4LEBNUICRASU2Y1ZYBU/wI1ZlT/AjVjggSTEowQCIk5TAshCh6ZVURGhDfmZnabrzkdg332d695eMSLrIzKF685ksvdza5du193zjprr71WKYWuadmuVgI4rLjm5soMmNo8sG3WlT0LC/DJOeN8Iz4rtVypujMdGk1xGePSapxQBXjD8cRqteLZs2f0fc9+v1+A5el0WsCWdhgaY8gxYr34vKj31TzPPD7uF2Aqv8/y9u1bxnHk+fPnWGt59+7d0u0ZrYDRx8dH2bGt13jvefHiBQ8PD8v1UCCnn7tpGj7/7ObvAECN+n4AACAASURBVNVPOGKYSGmuZZpEiBMUYZmcNUtH6DRPOGMpDTUXFJxrSLEA1VwzFVarzXJvCJCWjd2y2y8S9wWFOCd6D20jSRW5TcxTYBxnjI31Xv1It1KfQ3Ww9gS8lwDhlEO1hgmivEjS5u+N+F3FmCipYL2hbTqiacXOo2p3rDViKZAzpUQ03qSKZ0RPmwMWCf+NOdfMT4gpkEvGadca0HYteZooWTNjI6TCNA3k4Z44HjkMMx8OI4cZhmR5OM68/XDk7d0jD/sj8wTJ9DjjGed6Lq3E78TFweHTwEa//vH3L80iBT5lYeCsgCU5F/ZcujP5oowHxdScwyd81OW7Szef/DdX8FSW86KIy6D6JLkf1E4BbXagllWNxSAmssVJHmRjbNXDXUI+MdAspjDXzaa4h0FbfcAomTE75lyYTpnHMdC5yMMpM8wwToln1+KPZ0rGlUjXexyFjQPrC+M0EZqGpnE47wghE1Om8w2uaZliol/3OG+gRO7v3tW4JoNverxt8M7z8HjPMBwJYaZpW4moK7KBLNHU8vqPHz8bQCULKMtEIDqQbhEMa536stxjrcXVEtfhdMQag/f9QnOX4sjZkKJ0+vWrjdgkrDK7Vctu1bLpHNuVE3Yq5cWk0XkpO3onbZibzVZqz8A4zxgczrWARVt0teSWc1PLZnF5kARQ1c6MDBZJunbOY7wlOWnl3OSGZzdbYrGEYpliJhJpuxUxyf6k73tWnQj7RoSpCEHKj7vdluNpT86w2fRAZhhOpDRUlsQTZjGlmycxv3x5e7Pom5TpApayqrpmK+O1Xq+fACBrzRPX8Euzy9PptPgtqQ2A/nyYpcyn+qiHh4dlAVdBuYIxtSS49FG67B7S36vARZmjzWazlMBOpxNikNrWGJkjpW/AyE7kHE0UF42RlhiV/dLQaN80zCE9EXPrOdTjUUFtzvlJALHaVLx+/ZqHh4cFYEn5cOZ42HM8HunbdjFVHA57NJ5GACFLdI2t4np9LoZhWJ4fLZ1q4LIyGbvtlm+++WYpl+p5U3AlnjvHxX5Cn8vHx0eeXamz89+Nn2LkPFOKsDApBVKckTWrPAEy3roFLKs9hq/M43AalmdDo4xSmrHO1HxTS9O0WOsrQKmxNhWrpJQxRsplIhuQedVbtf5wWCNRLfJ8TMxhoqQshpNFwIpRkbXUgyhV6J696KIsDpJ0bDVtD9lRjIWU8V6bkUTqIBvSWDVQ1HNUsFatBYpksGUpjaXqAF+yaKbUoDNE0auGlJnnEYolhMh0PDIOI8OcmLNjP0y8e5x4/zjyzfsH9qcAphH2LSfRC9UGDWdrpeGj8Slg9R0wVTe4UtpTSFNF1/WltaGxDtEEq4CqVGqpmPPrgeo6LyxUwYpFBdR1SwCTqyU9BXTGPC0RcvF/0aDlum7ppjwvnZamiCZr+exkTDl/cGelM9QY6Rodase+MYbs12RTrTFIYgUyZKwRF3RvHd5ILFBjMyQn0Ti9p/WOlOu8XP3+yLL5aBvREWvywzzX+bnA8+2KOc5MIYCRnNb3d2+I8ch6LbE7p8OeHESnWophqr5+P3b8LABVyaWyEVseHh65u7ujlCIZZpu1mHZ6T650b287ur5dSlzqvOvrZDNNUiaiNDjbsGpXeAdpHtgfH0lT4nb3jE1/zdV2xfW258o3NNmI9smK74p3cktpCc1YR4gRDVtsmlVtD65hlZYak1RquU+7cs6ASjdb4kNSnYCtwVjx1Ohbx/XVDvyabDtiaXCPAyk7xlkWU1tjXDbrDTlbvJ/4kz99SQgTV1cd03zH4XBgu23qAnluv1e9j7I+0zSxr2aBwBO2RW0L5vmcXaWgpm3b2tbfcTodltKaap0U/HrvK+ovrDopl5aq7ZD0iLJ0Bp5Op4UF0TLh4XBYgJLqkHTnrfYIylqeW79ZOteOx+OiB9OylzJGoguaF8CnZURtfFAW1HsvYN05+q6vrs9pORd6XoClVKeaP33tpdBf7w9KZt132FIYjwfWrbw+h8Cm6qpyzhzSYQGR+tlKOYcvKxhTMKwlU11Y7+7uFuCqDN+b0xu22+3SpRhj5PHxkbZtF9G/bmaU/VQN2uev/k6Y/pMOk/BeQFNWMbKRtn9rxC7AVp2KcxIyYk2RxYqWEM4bTmWoS5F5J5ZUdammahjrYucEWBnrl80GjDjE2BPqHLG0q1uchXEshCANHPM8s1uta5fqRMphcWRXVl7vW6DqSj1d50UjlI7YYgi5lpGqSN1aW8XSmRRydfsWbZkRWz4ohZiluzCTcUaaWhKi2YxRrEGmIBSS9Y1o0LI85/f3j4ynI3MI3D0cuXscuD8l7vYTH44zc3LMWcqj0jUmYGHVdtgimtqopcZPsFA6B16Op116ukjLmvCpRrLz+9ZXVvBV+/YqRNJg6QtQZkqFQ7aq7WplhVI1RvU+QwFVFaobAar2ol1QfqN+bmW6akXpgtUSdZWKq84fusS8WDp4J805xjnmLOxWSKJViqWQQybHgTBBZx22JFpb6Dy0xhNzwETI3mL613iTSfMIzgqQ8p6+lechTDPTMEpqgJXzMEyaCZk4nd6Qc8QwQpkpqRM939JYIea6oSYN/NjxswBUuQYbGis6nd3VVnZd42lx5/ZNR4yFUuzS+WSrJkcWFNm1rfoVrW8Yp0xKUlefp5E0ZzZrR+d7titZyLbrFdebDbt1z7bv8clXo0PxfXLOkksSGtl5fNPgqtuvcy1tuyLlTIqRUg3SCqo/COR09msxWbQtBgOuCtNLFfNZA66mqJuG3vS0G4dxcnNM457TcIA8Y+YB5zqgJ8yFGMXi4e3bb2maphp5Smiyir2Fudot58sa8SsSJiVxPByZG7+ALgVbh8Nh6ZD72DCybT3ei3GoZC8ZnLGEaWYYTrRNy263o/Mislag9fj4uHwmkHiMUrs1JXNxWkpzj4+Pi+i7bVvgzAIpgFJGSJkYNdpUvd2zZ8+4u7tDDT0VJPR9z2a7k90PiOjVOqwxhBiJc6Br2tp6SxXTD0tUzsPDAxEBecpcSSRNe3aFT5mu72r570SKkWk80TYN2/UN4+lI20jJw1bAqGyYHqP6Zqn+Sl9D3d2qG7uWHrW8qYBTDVmdcwuDtVqtWG131WpE3nO/338HgKnA/3A4EELg9vaWm5sb/u2//0vgf/+jzhF/U4cskgnvJYMvJ8jVY0m0R9oxZyrDI/ej7MZbQjzbmRiDlHeqUBoDMUjclHNNjXEp9bkRPdJsnLSbp0BORdyufVu7qAq5ZJrG03jRMgHLPAAsoF5z70A2ls5Zuq5ZnkvZyBmMUxuUiM0TYleQKcbi1i1YT8QQcyaEKNofChr67Oszn3MixEQsgWwy3ngaJ8bBYpyLxNc4yzgFTqcZjGTRDcPI7755y2keSTHx7sOeb97dc5wK0XTM2TEFSEW8jUxWcFQ3XUY2RNk+LfFfsvtPr+93wZZen1KPT4DV5d/6Wj76uQpknrBXWpKDnMNyr2DEkiIvhT1p0SsYUg23sSDg3QgpIFCqMlpVb3XBoS1slS0srxQXeGWwoLIFHx2D3FvkWLvnRDmGAedbvAFTLQ4e48xX6T3zeCTOO0q6wpkN3rWkHJnnSHEz60p6dK2vOi9xa388HaWaow073mEwy4Y5Jw/F0viWtvHMYcJaJKNyDkzTsHRmO2++A4x/aPwsAJUxFu8aEf527eKfowwJyKSuItzLOBSJVpAW4Xk88vbdW3K03N6+ZNX3HPZHShHncENivWrZ7Rzb1YpNv2Ldremcx+LI2VXXdrGrNwbIUS6Ul69lI94qxTrwDc4YXGdxQahBEewFYjRka8jZiaMruWZTicDc1J2GhIVaGjy51IcYQ2Nn/NYQdoaHdqaMAykHptPMUEaaXoIe29YDEq1ydXXFPE0cjkdub25JMXK922GNZTgIUzNXmwSqkNxgFh8PY1iOQewKxqV78NK1uOvapUS3Xvdc764keqVpaLzkRnVdt7Bb2jgwDMNivKk2DRoFM8/zYs3w/v37ZXerwFn9scYLAbkajuruPKW0lIKlc09AnXo8KfjSUmEIgc12xePDA6UUbm5ulmid6M5lPDUXvHRaDyEQcqFf9bR1FxTmkeP+YXEfl64rKcvdXF8v+rPtdov3nmGaF1sCBUdqj+C9Xxiq1WolvlnVr2qeZ/b7PXOQ7sf1er2wT/r5VF+m51EBqR6TnsP9fr+wi6UUDofDcn00ikhDrm9ubqR78ups8/B34w8bf/arzyHH+jwKK2VsXZwqy2Gw4m6YLbZ2zRUszjYkYzBOFk+qbUapCREOqoWBlMQETylD5ZAQent+hpC5uJQa9YJscFerFY13jGNcnjuQNVPLy2oQaWuJ0rnvsscpnT3lYszLnFdqpArZkE0mlELKhjF5GtfRmETGYcqELQZjJdg50wiLlcFkCXHGGEJKnIYBMXuUkmcMA+M4M44zKWa+vTvw/nAizoHDMLIfIGRHcfIzmo34FErk2lAkIvtFh3TBHOvc+SmG6nKU5fpWAfgTlst8z7/1tijCNJqnP6fu8vJ7NbZIBPnOudodKCaepUrRtUwoodZSIrRKUBnA5MUr6onwqtgFMynTVfFXLTNelMnM0okg/8/gVQhv7LlMaATwpZz4cJSS8jiNjNNMKoD1bPpG4ovmCbte1Wxfy+F4knXUy7p9tduRET+2cRjZbLeiC0uF7eqKw+lAjGIeXVLBdaJbC0G8LdtWwri3my3W/XiY9LMAVCVnhmGk71c4JyWfFy9eLB1T5zw/Fn2O6GqmJcutbXu8b1ivN6z6Hat+w+k0MU+DTDQpE3Ogv77m2c2Wm92O7WrDqu1prBiV5eKx1uHbDt94eVijZGTZmrieiyFV6wNCxDoBR7bUG8qI5spaQ4qyk8rOk3IW8zfbgKaJm9rhUqBNYGLCGMjWYkwDruXlq5eMIdG+eU9/GJmjIeOJpcc3nhiziN1DYH//IL5L1jGeTk+MOZUhErbCLg8ggJijSrSPPqDKUqWUuL6WEs/lAqvXIae8CL918Z6miffv33N3d/ckykRBwyLSbhq6tsPXXD2dmFRnJF5b+8UsU3VVcAZsWtrTz6ZlRmVuvvrqK9TjSkuKqu0KIbBqLoNhy1KqU38p1UM1jYRt5px52D/yuH8Uy44YOE7jUn7U4xuG4UkHoPpUlVL46quvpJMPs8T8qD+Wq+VcjaXRkonurvTzbbZb+tRxe3srWY21G1CZA3W619gbLZvK9ZbJ+P3794vWSnVeeg3U9V27Mdu2XboA++bHU+B/N354/OkvPyMlbaUXUbfqV3BqWsmy+Go5LsYsjD0GWZMrO14iOQcKmWKona6JlJMwBEinsY6r21ccjwemaaTU+RZqM4L39F3Pet1DKYwjtVGlQbr+Qi17i3aqb6QhJ6YAnDdm+n4KOHIuSL6dRH+YagFRCuQgLEWMAmFijuQELjU4WuxkyLME+jbbQskTxoig3jfSaTiHwP54pGvXzHNknALTGNjvTxxPI2GO/O79kbf7E/M4Csg0DRlLioh9QNFSmAaaVOBiyoVb1vl5UiDzsQ71k+VALticUu0PjHkCoL5/VA7JfsxknTe8l0MNmjFiAmvKRGMbXBYGL5VCKkW0vXVeyGaxAxVGypQFD2nJL1dKQGXxgofUgEP27DLyRcWsri31a2Lh4KASDCCfIdsGZxxDnHn7GJjznuRaiu95dr2hby19ZTBLvf9CnHG1GtJ4OV5vHBMwTSObza6SM5bt6oqSC6cBchhIuSwdoikUVv2adb/FWctuc71swH/M+FkAKozB+3NcRymlZlo5QpjZ7bbLgiysibBIl51/KWVCSEzjzDzdi64gZayVNlxrpWvm9tmWLz9/zYtna26vr9mtO7zNWAqpucJ6R9tU/yYitmkpiN9LDrPoGEy98NkQc6EUubBWg0aNtJ5m5/UxZGkHMa4KrWRHJi8wpBLlfaohnrHgbcP1bkd4XSjW4+8eOQ2RKcHjIRHmkRATOY1sNw1//ud/Tt/3/OY3/++y6/S+Wzp1msY9mdj0wbdVzKcRKcqKKIOkbNRms2G16pcHt22Fmdk/fKCUwv39/cKS3N7eLkzibrvjVE7ij2Vs7d4AW2lqXexTSosOy3u/ZM1d0ukKWFQAr9oeBTSqX1LrDY2oAWE5lfHU0uhud7UAutMwcDwdmWf5nWc9XQPWME7jwlJdX18vwEe1RSoYv2TCVOA9jqP43BwOApCmCWvsIroPIXB3d7dovbScqTYL2hSgx+qc5XhKi4GoljkVWGn3oArZ9dxpCbdpmsWyQj3AtKyoi8PLly/ZbDZ89dVXC7v24cMHjscj19uOh8P0R54o/uaNX37xjPVuRQyiVUtR4lGMNQujrQaWzjV435BjpqSZKUWwrubtlVrqSxQSErhrKtskTTre6MJ9LlVP81zn0h5bCrnU+yFHNu1amiJSZBqnC/2iJaVM69vqiydCZXkOWOwddC6QPw5rErGczYHJK0oJQJByU04QAyWKF6B3njnMpFgoRvwEQy7kHIghYseZGANtv2aeTpiU8N2aYZgZx8jVbsVpuOdxf2T/eOTD/Z7TcWAYAl+fPKcZ4mzxTkqaMVZAaVzVd1Zn8AqhsklYNS4o39VJ/fhOP9UaVUDyRIcl3z+/r1k2OcaY6rAuMEaAsa3f0/dj2ZSWYirQeZqN2DQdu/VmYfR1vtOuwgXu6c9q3Y/KNOGQTvHKZl0ALTVnFY1WQQGXdCXWZicV5GPPb1ld5DO1Qc04rGlFITeBuZ9gNRKbDbc54FtPiIFxnGi7Fuc9bdsJ0E+ZeY64RuLadG5OOdM2K6ZpXEKzc6zguTi8NVxtZVPrRE1ICt/vMfap8bMAVFKDrwt7rbkfDoeFVQGWiw/qCJ0XYTRUMXXT43d9XUQi4zQwx1E8MQp8/uqW169e8OUvv+DZtudq07JZNXhqUrm/puCFLncGbzs8kVKSgKqmhVqyy6UwzDMW7Zt18uCVM50LZ+2Ua4W6Vwdh7fbL1ebfGFmcipFEbWqbb9t2XF9dM86J4yAZUdMcKDngfEez6nCuY7tx/MVf/D/Lg6O6pRBmHh8fFh8kV8XXxhjJ6es6nDW8fPmCN2/eMAwn1Ag0Zwl9Xq065rmTOnM+L+LKeJUq+s4pcZyDGKNF0Vr1bSf1/FIWAKHMjYLhvl9xPB45HA48e/aMrusWB/Obm5snbdo6iV3uCpXhUTZM7xMFJwKyAoZC40VAm+PEcTrxNovlwjCNnIbTReeoe1IaU+aolFLNMdMC7lSv1Pf94syulg3TODKNE13bYrzB7sxZ55HyomFSj6xLDZQei977MUa22231hCqL672eA2XWVNgPwkJ9zBKoF1etNiw/r7oBBY2X1hP6LG63Wz777DO+/Pz/4OFffP1vakr4WzP+/O/9Eu+b6hEn+WqI1RRd22CNExMX6/CuwbuGOQbxijJUpkJExjJPCdsjVZ/EOB3JJQlr7qj6Gs96veLq+oZjtJxOB8ZxxmFoO18bNCYgMwcB6+Opdu9aYaWNkQ3GSps9KLXsowvQ+RnVTmAt+SxM9mCQ3oxMKYFSZnKesSlgcyDOAzlKvlowVjavIUGSLLp0qoyISxTjYJw4TYnHhxPjbPi//uUb7vcD9w8PHB8P7B/2hHGAVHg/X9O1Hd26F1f2UjA5YnLEN540juIqXrVEuQKFYmStMLXk9akOvr98Ab5kp37otedyqc55VLZEN6HWiPbOXJAozpk6f9hF2yalYGjahnGYGIdzmV+HNrbo7ytZpPPSaap/WECX4cxq1SKjHFbOVaGVz2XBSr4pLlv+MnJORVQvlguh6GaipVgJRn4IDn+IxGbCX0803tB2K9LhiDmduLl9Rtt2hBBJuTDNgTRO+EaKi8fjEesddu05hUemcSKnCEVKoqIRrqHbBlKQIOtjFt3sjx0/C0BVcqFpZPes3UXqU3Rzc8PxeKzs1LToONR1WgwXBVgdhwmLqcZtY41cyHhnsS6zvVpx++yK589uuVp3tC7TOEdjqz1/0xGNJ+UokgUgZgN0uKZDXHkLkCk5YGy9ABSM7bAq2jvfYZUyrTe+Fb2T7kxKhpKE6jbNjGuFgjXW4XKmhAAF1sZxc3XN4TSREsRUaEOi63uatmMOE99++83S/v78+XP2+70AnlY0aW3TsKsWCNM0yo7UGk7HA947vv3269rRJnYQkvEWFoZjvV4vrJaWttSbaDweaNTuooIFnVjUsuAS+Fx2/oDsVtfr9SJ4V8ZFNUQ6VJyumXYKzFS8PU2T6BtMoWscz2+v6vHPEspsLXEeKClxe3ONdjuGEHh8fFw+i+q2TqfTssPWmCNlwt6/f89+v8c7x83NLev1SsBITIRcpFMmF2KO3N7cEELgeDyy2+2Wrrq+7xZ267JcMI7jAtiapqlM2m4JK9bzNFc2ru/7xV9LFzFlKBWcqUmonlsNU9bzp9qty4w2BeGXRrq6GH7x+pZ//neA6g8ef/arzytLKJsFV89xjqXm42aM8azWHTmXZXNQEPNKa3Up03KfhLVbFU7XEnjXNjSNX2QJxsAcs4A07+X3Fo2kMYDkm6WUllBy7z2N7+p9BtNRvMikO9FUttbVzlYpWWsJUTwUnpazpjiRw0ScT+Q4IlSEZLaOo/gKKoBIORPnQNKOX99DshhnxSfTWuKUOYx77u4fOU2JMRbeftjz7sOewzAzzoYxtktXtrGWpltJg1AKNN5gciaHCOrYvnTjpTNgoOB4On4fFuNcA3t6PuS62IummnNnr7XC7gtIelpKbZqGC6GTdGTWcrFa9yizuF6t6G42S5PKMAyLnEDnOb1mi0RAKagKeoQJFZcqo6ak1Z+xro61aC2MlZ4zBVjF2hpefS4b5gouKw1BwZGtoRhLBOKYmO4OHKfIL7qWB+dYbTIvXl7hrGEYZ+Zqx4Gp/mSV1xBH/szVdkNOkXGSjXHjPb33lCTkxTiNhFmyLVOWRIBYwl8/hkpvipwLp9PAPE/LJK5ddzknmkYiU9SkznsroaH15hfPpMw0nui6ju1WqGBy4PntlqvrHb7x1ZCylzKfb0iuodgW1xqci5jcVNpQTDONMeKMW3dhVP2TdQ3GKvVp8NWGX0GT3Cr13zXI8WJzQq71akrBlpbGJ3LVzshr5Ea21tK11YTSH7BGQIMzGecKJhZub24A2bnsHx9xznF/f8/r16/EqqCUqlNIbDbrhemIUUz5Hh4eAJ5YEchnKEvHlwqidYyjiNZNPi/OzjlWq9WyiJ8NR/1Si845U3KWllYjnYd93y8O4ZdgQkXm6l0lvjt5+XrftXStZM+JSH63iOCPhz2P1S5AAYMCQj02FX+/efNm8Vua55n1Ws5RSol5mpjGSYKlqxFoChGL4dntMzabDTlnHh8eFwH72Xoi1hDrmZwjf/EX/zfX19e8evVKbB1ORwxmAZBNDapWRk6B3TAM3N/f07YtL168EGbwlJZImOPx+ET/dhk/cy7t2iV8WbUVsuM2T66tMlx6zpTN7Pt+ed0Xn938tJPA38Lxyy9eYq3jeKyauYI8RwayycQ4Q1ag7SnFEEMgpohrHJYRkuo6JcA25UghYhAs4r1bNjAyT0r33jRN7Ic7VttrcskVVJlq0KmRMTV5om1pPLU7y1IKC7BJSdgzcUIHLVdpCf+8OLvK0Es1IsZIzIkUJ+ZpzzQcII5YxFT38XCPdRbbeBIiNFeG2nlPsT0xJKyFOQZsY8AZ7j4ceHf3KLExU+T93SMfHo/i55er/hVH6wo2jcRRunsLsvDGHJlG0eWa6m9TTKm5e1AqE+Qu5E5PheE/ZvH9vtecGbzLbuali9Pp/EfV05mLruwzQ6geYgKMfZXTxLpJLhyPd8tmWFlu7S5W1v9Tx/H0+Aqg/mMsn/ssXFfwWTOAForKkI1uAtSz7KzFyqUsjQo2W6y4YBBKYTrOECe+emP54rXnNhWyle77aTpAmmrFJNJUI2dTDUnHMBOnGYxhHKVBK3vR3DknhrfWJIxJOCsyHnI93t8DK/8sAFWhEIO0z4YoLYy6w3l4+HCxQxYNlU7wqvOJMVaXb6ntbrdXbNY903RkPE24MrPpNtxuHNsemtbg+56CqyJxTy4OUqghj7bWn13tuJEdmIIjac909eyVc4J37tCbY/mjLBVFcvzkR84UaQ3ITFhysYSYSfVWKwW1+sAahE1rPKu2ZW8mQhhFe1U/kzESXOqcgM3bWxGTaxlQ2Y2SM+MwUHKmcZ6+kfbRlM87k0umIsbI4bBfyrLb7UauWYzEFFl3Pd66ZfEex3EBULY+EZINBWGemacKklZrmq3n/uF+6d5zztWuterAXuM4Tqc90zjQ7rakKJ2Xq77lsN/z7nTi+vp6EYKr5uh4PC6TxuFwYJom1uv1wnYqkD8ejzTes9vuFiAa58Dz58/55ptvhAE7nUQYjOH9u/f0fc/t7Q3X19eV/Znw3rFaXS1gRNvIpypa7/ueX//617KYVRCZYYnC0YlNwajaJ1Bfc3t7u4AdLQcrw6YLl2q+VE+moFdB3qUpatO0UnaoM+IlA9n3/SJUVxC23+8XDdjrl1f/RueEvw3j7/3yc8AwT0HyIq0FJ549xkBOqS5WYlCsAmHRTBlSiLU0kxD7gVryq4upc5a2dj3FEEgm0TQd1gsTut7saLueXCLegYTNCvAqOROyZPo1XkqP1hhCSMzzSE7zApqsE4ZIf7+4qZtlDsj5jD70/feHA2MopHkihCPzfCBNJ0iygZ6HkW7VM+fAEKL4Szlp5jEJQoLxNIlmlYmu7zG+5dt3H/j27QeKbTgMgQ8PB07DTMRSa56ofc0ZtMi9n3IkFkmPToJakM2xpFNnI2yL/YhpgzPY0GfpY7uE34flOGsodYNey/JWQ9ZZ5AZi7+MrWBa9lxpMa+NR08jrZE48LRtefd7Ve07nwg8fPixM1eXxXP65PO6nr3FMTwAAIABJREFU56GeIwWbl98DsnEs5ZsLjZWhmpBSuxWTOMMXJ0KtUkQOM49Hvr0rNP2abvNAwLBZrejblsZ76fg0hrYV+UeMEWssu6sN4hifESAYpNRoYQ6h/s4kDGsD02mUMnI5s2w/ZvwsAJWwQVUIfJGDphdHmQRdcLWVXRbQQpilDXe9veLq+S0lBfanPbZMtB5MEtH5qu9Yr7Z429athsHZVvyeomT9ZFvF0hXASfVOAyAlPkGEfkWQdskYJ+CL0p9J4SKhmCCCPEqF2qY+qCULmBLFHgVLzi3FVFM+a3EeTM5QnX6dszgM4+nI6fCIbTvarqftevqqIdJylXOOGIKUoKaZffV0UvsBy1nfkGKkW9WJNpcaMipC/MbIJLR2/ZNrcVmKa5oGb8SkdJ5mKUvMUp5bdfJz4zjK4p3Pk46GN6c0M82TdCeZDCXQ1QmglELbC1s1jQNQ7Q6q11bbtmxrJuDd3R339/eLdkrMTbe8f/+e9+/fLxqnS4+m3/zmN7x+9RlffP7FsivXGJ22ldKnWBOsqvnlA33fsanhxG/ffvuE6VKWa9GJxch6tWIcBlLOnA4HrLW8evVKWImGpXtPLSS0Y/JSJ6aT3WW8jE6I2ql3SdmrEatOipcGo8Mg59FfO7zzi/hdwZsyesoCeu+XDkDNSvzFZ7c//UTwt2z8/V//Au8agpmWHb16jC3b/rrp0tKTtbKpkQDiCqh0E32xzhsjgNlZh8lSEly1LVe7K1zTEGPmMEeMC/hGmI8QIqFqpnJKNSMNog00vgPc0sTQNZJnKbFTMiemJFmhTWNlPlw+y/lzLYdlC1O4ZxpHwmkgTSNxHLE5SWSK9WQapjlzmsA0DU2zYgyB03DEhAPzPNG2Up7pk8W6wpt3D7x990DTrTiOgWGcScVgnEcbgpaCmzmnLVw26rCcy1ohqNl9TotS5ilI+iF7hMvXnU8IywV70nl7ATo//iNmp6pxLAsY9F5KuTk7UnLkGjOUF+8sOefeN8tGeZqmRWoALKa++nr9umqVz9fxDBI/ZrEu//2956MUTA4gWwaKSl8qqLLl8ppUL7Vi6pIp4NaVyOMx8fbDnvX2SNOtcb7DN6YGbkPjHSknSmVCnXOY4ghhopRARljcOUVcsRTkWaIa6o7TXhi9JOD7j1byM8b8BtjXo4+llH/PGPMM+G+BPwF+A/zDUsqHH3yjAuIqnjBVzpZiwgKtbZhOE2OeqweLpRjHPEemELm5ucW2CcpM61a8fXNHCjMmR/rG0ODwtHTNlpvtK57ffk7XbnGmJxeLsyuMaUglY91KdohVuOkbRdPaNCsU95mgFCF6TlSw1SwlP8Fi5mJiyWdAVeQCSrvnJAHIKXLKAYrDGI9xjr7bYEuRuq5xTOuJ6XrEGVjvNgzTzDgHYhqYRkeJqT54jnXXU6pPEyXTtc8WgKAPliyYavAZBWjqbuDi5k4pPYlOWSjousBu12s6Kx5JedXhvOPDh/fEODLNgc8++4zHRzHdvLrecXX1Gfv9ng/3b5fy3Gq14vb2FjWW3O/3i35IGxX07xcvXixlqvuHB9Z9v5hfrtdrdrsdxhg+fPjA4XBgs9nw5ZdfLjEqbdtK2S6lqjd7JEYp883zTCkJYwQsvX79SgwVn99yf38vEQkVuOw2G3abDcfjQdjVaeTt4UApeQGuTQ2mvrraPZmEpmnEGsNmvWIY5mXyUpPSy5L3MAxsNhsA7u7ueHh4EPsIA7vd5om+SfVZl5qsc9ePAKvtdivMlXM8PjyIFs85CcSumrswz3z+8iVff/01Nmc2F/YXwzjyy5cbrncrHvbDHzKF/JWPn2wO+9cY/8E/+HdIIeKdCGdziuQUKwCR6CqKGDNOqUodqkbU5Ih3546sUgyNbWrm55nljXOkW7V01y0lZsKUpLPJGNp0wowTZXZEBeE5SfKENdVXrqNtOlKkRth4tpuWHA9V4+PAyGd1zkpihT97W9WzTE6hMqay4Up+4MPDA2GKPHx4IM2JxnVQLPMUpSGmd4zR8XDM7IeB/XDPuw93WAq327UkNawry/EYGcaZb98+cDgFwsNMLIViPNY3gCfGGlVDYdVrWHhcNhqXiQefAgWqJdLvfFzquwRYHwOM7y7KZ7BjngDhSzG/dI7Lc6wMMjRNV/WyEpSu+Zw56zxdiCnUjdgKkLk+BGHarq+vaduW4/G46Kd0k6k6VZ0v1JT1Ul95udG7PHb9ms47l2P5Xi33qSXFEybPiNb4vDGoQAuwJkGZiGnkPhQe/+Xv2I8zEQ+upRiPcS0Z0a1O84zFkFMkhoizlpATvnE4W137qaXcEpmD5Gc6J12fONV9ibj+x46fgqH6j0op7y7+/4+B/6WU8k+MMf+4/v+/+KE3cA7i/LgsIjkmxmEUg03ncL7BW0vfr6BYvv32LU3fSXdWFdWlJO2S/W5Htp48jxgS3nesmg7vGoZhJsyJUhzetxjjsa6pwMpgm4Zs1ihRKdLisx5KtFu+MlSii0IpTuuqAVhtBS2ZpMZqVHBiNMpGAj5ziUDCukrj02GLxVWGyVFIQbpfALq25fb6mq5tKc7ycJQOh5AT1nga1ywASHeaKkJWalc7yXT0fS8aoJI5DIcnE4mWfqy1JF2oAUrm7t07Pn/9mtWqJ8wT99NQrQRGDg+PfP755xwOEkmj8S+qNXr37h2n6pN1dXW1WBBI/IWcKw1k1oaDcRyXctPXX3/NarWqOrktz589I1TB9WUY87Nnz3DOcXt7+6QzUSd7ZWU2L17QNZ6u7xlOJ0w919Y5Hj58QGKR1lAk00yvd87nsO62bZb7QkuJukMyBlKQhPlQ44MohSnMrFebpavuMkoGWCYynfxubs4lRimvFDab9QLGVCelf7SUqOVN8f1qq9uzoWsamqurxQQ0hsBcdVPaaatMmjJfxpjFdf/L17d/7QFVHX/wHPb7jtcvbulbKz53VbBL7c5z3pBTXXR0Mq8lCYEPDodkl8W68MZUNSnOYovDOem+tc6yXl/RNy3H/YFxOokA3XuykXxAYyWTzXmHyeLHQwLjhFWXqJlS2Q8jxoyL7jUyV32gMXIMl80istCeu7RVD5iamXnKnIbIt+/2lOLZbdfMcyInzzgEDt+85TAE9seJ4xTI1tGvrill4DRnipOcUzDEFDkOE6cxMceCdMPLnFyqG3yuwmqtQOhzc9lBrJ8bPgZM1O+dr+GngJOOj8HC9+mSzAV4ePqemuFYLViMrEOXjLW8Nj9huRTM+FrqVSsEnUsvO6wVBCloUu0onDNH9fdd6uEuj/Vj4Pnx/z8FrD7+/6fKiJfsWs6GUryYupYO7wwpBe4fDnx4uOdXv/qFbA73e7w1bDcrvIEpTMKaxkjTOE6TVH3FQ23COlj1DdZkQpjo+xaTYU5xYRAlS/yvVpT+nwL/Yf33fw38r/yIyUgWbkHKYVZhXYOxllwmckg4F7HGs9qscb5dJnj5AzlHhuOIMwVbxMgs5MK262l8Kzu2GCCnRWMgGEcDNwvWtJUC/Pg01m48Y0Vgbo2U6rLE5qgTbcrnbhCMqSyV5vhp541YMUDGe4mbMSaLU22WIM6Us/iihEAq0j13tdux2Ww4nk7sx5HTNMoijgjOld5UcbE+MNotpxoY7ZQTkWJcXMxdK8yLKYWu7+icw6aELRlnYJ6ESSpFSgSPj4+o59Tp5Jb2+pzF7PPDhw9LIK9ODCA7LRU560R7CZ5WqxXDMPDw8LC4dGtg8tXVFbvdbin5qriSUqSTr5boNpsN2+12iW5RilujaZTqb9uWOM/Mw0licGrZ+XQ6YQy187RdPqOW53ToxBaDiBh9nfwUzAKsVitxLa+TZt/3GGt4uL8nprMQ9El7NOcyxHq9rh5gqye7SmXKlj8pEer5cla8tTrvaReBsWUchsXf67Df8/zmdplclfXT49PFT3VXej/pffb5yyv++b/43Y+fGf76jH+tOez3GX/6y1eLH89ieVBTClKsQcP12a6+nbVJTkqAOc2UbEmIB1/KkLGyny4Zaz0xpQp8eqxtyPlEzo7Wt0RDtQIQ52wseN8uc0JK0k4uLfCFmCJZNxQ+QJNIuZAmpNnGVK++kojxDMBTEnfqEKTUPI4j4zQSp8Rpzrz/MPHV2yPWtUxccTjNlOS4fzjw9s0HYgHvVxUUOfKYcURSdsx5hOMoDF0WcfoYM7GIn1ExAiZIVa1jJFDe2vPC/7FWCHTR/xgo8NH3P/3/TwGE74CPWt67fJtSxbVnpsvi3BkkWePqa84ZniKDkW5MmVtlbprnmUItDRctJQuQ0PK9zi2XQzu6VaCuPn7K3Knk5uPj/75j/bGlsk8xe58qp5aSpXxbLMa2pFL4+u0du3/1Fb/+1S9oncOGSNc2ZBLHw54YZgyZ03FgLD3SoZ+IaaZxsFp1dJ0HEm23rlruKM+NrwzsR/fCD40/FFAV4H8yxhTgvyql/FPgs1KK9lN/A3z2qR80xvwj4B8BbNYdXSuLvngVtVjboOYaShMXZpzL4gG1lyga8aGSGlWKgeE4iNaoJOJ0oPeZXf+S1apht1vhPRSCiCqVekR8pUhS6tFquZTRhaJMSWIdziZ1souMtd3ZGittNU4AlrzGYmtXTK4/n7JMnJSyCPCk2lA7TGIihpkcE65kWmdpmo6uX2OdLHIitBOjNFNtApyDXA379MbX9lu9US91N8qk6O5kt9sxjwcOh710mxnDcf/4hAJ++fKlAC/n+PLLLxf26f7+Hu/FQFNjUPb7Pc+fP0cF4JcGmKr5uQwZ1nKk5u6pjk7LXsYYNpsNp9OJV69eLe7jMUa++eYbtpsNX3zxxeKlpKab+v9pmpaSWimF9Xq9uLMfT0dO+8ely3C1Wi1g/Xg8SpZkBUpd00qHovNsVsIOHU7yPmpboFqorhOAKMJZaRluWkfXS5fhat0zjiesfdpVCWdxuTGG/X7P119/zS+++ILtbst61TMMA8PxSKGIFUM1MgWlyA3b6qCux65Do3kkcLwszKBG3+gkfjmJ6v91sU0p8dmL3R84ffwsxk8yh/2+40+/fAlGVvqc4wKIdaNlKEvQekhZ5jRv69yRateWCCQKEmjsXIt3jWhKvPjLWWPJyTOHTMoOaztc05NshJRIdQORUxKNC3oP1rp/qZ0xKdfyiyFEuc9CSHi7IidH61a0tjCMD5gcSWFijpE5ZELIhFlMGIdhZJojIcObuyNfv73n7jFSrGMfDoxzYp4yMWViuxHLBt/QNC05JO4PR7Z9IgNjSIQ4i6bIiS1DzEm6xDBg1UxSyklFTnYNgi9PNiPAhZ5KdGzfhwc+flY/9b3vH2fB28cgTUGSzInnDfHlUDG6Wqc0TYtkNVZH9ArKpmkixEj29kITKTYr+rw3Ghx8AV40oUE/zyUzrabCCrr0nOnrPgWiPgWSfuic/RAI80hIfakB4tYaYip88+YdIaUq52h4mAutbwhDYT6N5Hng7e/+P+6PWXwV+46+b2g7R3s8sV519H0L5RFjhH3drHu8X9V74o8HqP79UspXxphXwP9sjPk/L79ZSil1ovrOqBPXPwV4/mxX9KSmlMFmMXGjhiY7TzGyI5IyGazWK7q24/H+njBPC3U5TwPrVc/V1YY8Jxwzu13H1W5F31kMM+SJGI7k3GJLC0YiZ4xrwEJKVQNl9KbPNd9IF8ZSd5PpTBsjN7X11XPKnHcVOSViUAFxSymSayWaiRpmaiIFiMlirKdtG7wrdM7ROktrxCtrHie6tmG72XAcB47TQJ5l0hALBL88AKq/URCTUmK3Ewt+ZYd0EQbAiIfVtvpVKQN0fS2eTW/evFkWYw3cBepOhgW4AAtgUh8c/bcyUto9dikUt1YsFBQA6MOuflDKtv32t7/FGMNnn30mppi1G+14PLLdbgF4eHjAGOkGvSynrartQb0HRXO13dI5y+PjA+M48fzZMx7uH8QA03lurq6X41LQoZPvHGYe94/V4NDgvKNpHU27WSYgKbnZhdlRUfhms6lxMWdBbM6ZpnbpiFmtlJhvrv7++RyaQuMt7W67XNemaZYyqALY3W4nflN1slXKXmN7rLXM47TYMyiQ1c+pMT+XvmHaHZRS4otXfyOsE36SOez7XvN949e/eEYusc4P4uKsYerW1Aw+RE8i96/MRSkXSk7VCsVwGgPWtWAcbb9itdrifU/XrSVMNiamOULKONdiOymBud5TpllsFkohx3P4cD26ypohtbKSajhzIcaREMCUlrYzULulpnEkx0iOEzkcmMcTc4jMqWEcDadhZhqD6A2T5Xdff+DN3YHjZEnO8hgCCYOYJFuyF1/ylAMxJIyxtB2EnCHLpjdmWcxtLYbmYiQ6xlYvOOWFa7NRKQVnDfMcnjCzF9e0ViIW5fjF9+S8GPPDC/8n7pOL31FjXD56jQIPmWfOYuglCqheFt+IiOuyq1fnVH3OtcNXSIizZlY3RJfxbXAu/12K8pWJvnzudc7TvxUAXuqtLkunl8f2l52fj8enSoddtxXtcZyhmmiPQ+J3v3vHN9+8o+0asdDpOrq2FxPcOXLYH3l/dyCXQmMK68aw6SzeSAPFbrtis1lLZ6qT/L6XL15QikQv/R6X+g8DVKWUr+rfb4wx/wz4B8C3xpjPSylfG2M+B978Ze8juyIRcKcUiWFmqgI6mczFXVz9i6yxhDTz4f07rJEIlHma5aEvM41v+NWvXrFbNZg0sl05Shk5ne6Zp5ZpbijMNN0aW1oKHqzHpAZjWorZVgSsDrQCWMQJXelhATiNc2R9YgGyWdK3i8mUbChJdFUW6aoqWdgObwzFOwoBNNC060VDZQyOgomRnGbGOFPiTJhnqQl7T9t4+q6lAOM0I6L5tDihw3kHoSyT+kxd7jz0oWyalvV6tTAt6/V6yZjT7hDgycN5d3dXX7daAquV6Xn79i3TNPHFF1/QNA2Hw4EY4+K3pJOCdnCqgajG1hyPxwUcaJmubVtevny5gKRSCqv1ugbDngGbAjlljjQGp5QieXTV+duI8IkPd3eyC/OecRjZbrdsNhtCCLx//17sFiwUMs5bhuHEh/v3S4xLTIHH/fyEfVPPJvV3uaTQjXX4tsd3a8o0Q5b3XfXrBdRox5fBSMdWBbBa/lTHc/XrUjH75XnQKJ7LiBuN5tFn76Yaj+p9oJNrW71cFNxqKUPf//XLv/4M1U81h/2+41ef3xDjtOgtK3IRYFAKplpHGlg2dxSkSzYnsH5hKaxvSMXRNC19vwHjaNoVq37FcBwZB/G4anwrJpYO2sZTsiFO6cxkF3UCr604pWCKsGimCuIpiRQkYHi76rEFCbQfZW4qRUxKY8rMKfJ4ODLHhpRX7I9wPDjC9WveHz7w1fuB05gppiWWlpCk4agYaqNOwNuCs5lSRPdXrCUn2bAaa7CIX1RRxqmIsaQpIiV2QPWcREXRyrAqq6LjY0Dx0Z3yndLW94Gqj0HaU3Dw/avz5XuepSxy3SUSxzBOg3RfdyI2V22rWNiolKEsz6yvDNWlzlJBkG6ylAn7+HcDTzZbl6VR/XkFZpcM+Md6zsv3vtSTfQpo/TCLJV5spYL9mCDWdWieR5rGVeJDvMq8a6AYQoxMuYCxDBj2s4UDGDydK6w+nFg1R2weMXnk5vqG+9d7Pn898uzZc/IfA1AZYzaALaXs67//E+C/BP4H4D8D/kn9+7//EW9WL6KlFKnVOyfmmgK0qulXBVQhB0pJrDpHmCeccbx6ccN2s2acTzSdYbdr+OLlLX1jKPHEqrUYFxjGB+a5pSCOwiZ1QEOpHTLOJZxfg6GKMIXyzpq1lzPWGQyiRShW6tMS+JlJ2daYPiMsFR7jHU1jsbVLUEsyxQHGi0YsTcQ4U2whlLNugThT5okSBkiTiFTLSOczfePo24YYE0ORwNHLcF8FRfpA6d/CAo0UhKHp+7ZOTucauYIvzaHz3nN9LUGRh8MB5xy7qulSGllLaCpmVGdxYGFlSjlHpqhofclaqhOCdNqV5XPouLu7I4SwZP09EVNWtkuBn7JiKsJX3YDaG6hG4OHhQewmViuOhz3WWo6nwxI43LYtt8+uF5A21Hga1Z5piVAnBwUh59yzGlM0ToSQWG16fLvhcBwY3okXlUmRPMn5mafpiYWBUPUzXSdByHputZwJLKAOhC3U667lOQWiOi7Lir42BhyPx8Wh/bKdWqOC9OuaZlBK4d/60x8fGvpzHD/pHPZ7jOc3G642DVn1c4jtQOMEMCyLUW1ikfnPVif0TEmBUMSk0bU1UN73XF3d0HZrTsNELmCMWAVIKVC6f1OMFC8mkdZVmUISVr3aNFGyShIyJdXGmyxWLjnl2t7u6JtGUgnaluPDI4ZEKiKcPwwDD/sjh9NMSBCi5f3diW++uSO9zNw9PPJhNmCF8S1xwthGKhFIHqr1FoxksJoSJbmBNc6vKMqkWVgy5IrE8agpnzGIZU39kq162RjTE/AE5/KasFNPr5cyVvL9Mwi7BAWfAiMfD3n9wpld/K6nm19lqM5lPEnVMLZ26+bMNIxEFyQTFWitY920pJIZxlFkCd6zXvdP5nH9PcpAXYKdS9B0eQznvNz0ZG1YfAbrcV/KSfR4Pwat39GT8RRkffy15d9YDsOENedYnVTf29iOpnFViwhQSDMEU2U7xYK9KJ9mtWOyjMUxRcfjZCA3lNzzfky8Pbzh3WPkz379NEz8Lxt/CEP1GfDP6kF74L8ppfyPxpj/DfjvjDH/OfBb4B/+mDczxlWUa0gx0PY9KY2IYVlGImQMmUKYJ9rW8/rVK8I8cLXdiiO494zTkTkfub5qsU6S29cbx7OrDbvNCmMjKU/4bMnZY7MX3xMaxJDucjeWUc0CpOqcm7BV/CldLVoWrB061stEVuxCXVtcNcYTsGWqwjSRSWEmJMnxKsXLXFASJkWZZPKMI1BspJAJMUBty3dWSG3v/KIL8F7ACkYW56ZpaFpJh9cdSVMcxkobfNPIa6WDr+CdXRbPy3p5zhKQrCzSw8MDd3d3C4sjJppuARuliEj8F7/4xaK1+liIDuJPtd1uKaUs+X2fyqdLKfHq1SuePXu2sDNKXfd9j3VucTa/LDNqOeySVdMAYQUbzjmydWy2Z/2XxPN0NI1fNFzqwbNerysQlWiWtvGQRRDuGyflv5srjqeRx8MBnSB947DWEaK0w9taBkzzjM9PqXmdTFRkb4zhN7/5DdbaxdRWgZWeM+1yVDCrjGEpZTkHlyyXrQvku3fvFiCqZVE9T8p+KeDdbrdLTNCq8+w2Pfvj+AdMI3+l4yedw37s+PUXtdyXdade5eTLYgGu6jRLEbH3sqsvQZppjMVYAQAxJRonC3HO0oEaY+Y4jCIkb33NZcv41jPmkTDMUm4sRewPnMVZRLAbZ3ISC5tErll7RYBLKXhjafpOBN5YcpxR36BcRPN1GiLDDMWtORwmvn3zLe/eHbl7ODLOLBuds8GkiM1tAVdElC11AVXjG4wtNF4E9gIIQmViqlmndU9KaUXnZpPrsQK5kON32SkdT3VNymw9fc3HC7/83Llp4/sYmHMZUUHFJahSDzIAs0goFEzjzFInVKmGc46mdpc7ZYMySwxYLJnDYcA6Q4pS8dHPqHOZgjgt8WtKwyXDdAmULruIL4/5EjxdzmOXX/s+oPlDAFS/nwuUXD8vfqlY5erqb5wjh1mqO9ZLE1g90wbDnFTmgXg7olmMog2MqVBylO7A5Pj2YeZ+fMexrJjiHwFQlVL+Avh3P/H198B//Hu+V+2eCnJymJmmUYRiFA6Pj5Cldb1khyGw6hqudz3Pb1/hnKXvPI2z3Oxu2AfYrVd4VyhhlADOEmkby267pm9afC2VON+CbcE2WN9Kp0usCYlk2Z3p7gYQHkf0U+OQoJYqly4268lFHFtjFXsaUs0TNDhXwCQygVQC2VqcXUsikrVQAiVPUvP3BpMdREsWDSnWOlbrNdmfaB8PIpI2jilEUgpsd+vl5g1hwtT4iXEMC6NzWXJTnU+MkXEaab1bHMZ3ux1XV1fLAzhNE7vdbun8mueZq6urhbXY7x/YbDbiWl8KX375JeM48rvf/W7pxpPAZnkwlEW5FNLr67Q0pcyQMjUKIFS0rY7o3UVL8KWvih5fKRIKrBOGdjo2TSOWAVOSrqvKYilT9kSb4Nvqz9OJiWkKlATOgyWzvd7RVUbncX8gJWqXU8IaS9u1WOeZ5wFnDevNGrDMZHbd+jutzJegar1e8+tf/3ph5LQkeOnPpeHJChS1CeB4PDIMw1J6VCCoXT2/+e1v2e12y7XRybapcT7b7XYBVimlpZvSWsvnL6/+2gKqn3IO+33Gn3zxApNFXJtLwpba72ctOdf4mVK1NkYMC60VkTXeS0eysTSdZ5oLISVMSgzDTJM9q/VGANXpQN92rDYrptPIPA+YpqXvW6YxM84TpkDftTSto6TE6bBfAE4pSbLtciIXsWnAir1C55vaASgePsVkUorMMRJSwfie4gqHx5Gv3zzwr756x2nIJNMuBrWSjapMxmXoOWhpTJK5PJQGw5pYIq6uWpL6kLC2keBbDFVie7abQKoc2UgDD+nH6590nf+h8p5+/k8Jqy9/xhgpVQmmumRszu9zZs1ECH1uCqnC6Av7cVvLl6aWuJ5YpxhD27W0RkDFNE9SDnSOtu3JeQQ0so2FwVbmfunyNE/DmT9mpXSeuizxfaqE+kNg6lPn7/Kc6XDOSrZfTqQi1Z9Erl31FdxVRtZU+6CS6+dLUmUq2mmPlM6NybjamibSD4fxBuMMpMw4B96+f880T9/5bN83fhZO6XJC5Wbz3rHZ9DweJkq2hDlgSmG9buk6B7nQ2BXX1zvWveVm1+O8mOLZErA4HIlcZijSzhvnyPFwZNeveHZ9Q9t0NF7+2LYD01FMh7Et1pzNLaFuCkztdCEtYEoE8FEmtqaj61Y4Vx/cVDC9ydz0AAAgAElEQVQk5OkWB9ZcW3hLll3KJdUKlzePiNJLFHO2HAI5zJQUKCliqiXE3fs7Hh8fGYeRYh1d2xBC/P/Ze9MfObIsy+/3Flt8jYXMZC5VWZVVrR6NgGkBAw0wf7j+Bn3QQAugTzNoTfVWlSvJiPDVzN6iD/ddM3NnMMmanhKyq8uATJIR7ubmtrx33rnnniPmk2UCHjUWRWysqwhhYDoq79lub3C1Y7VYsmgayBOtqwLq/X4/AhmdwFWYrjV2Y6QLTydpfa2WjZqmYRiG0bZg/rBqiU8NOWHKk9N9qCB7sViw3+/HwOy6rtlut5icRzdvYHyf/qmslbX2IvRXgdbhdKSpHcvVCleJg3vf9TjnWa03xacpcTgc6buB7XY7Ct7j0Akb2DQ8Pe3oup6n3Q6MpR+kBJJysVRwFuscLoteyzpHChVt24xlSAWcTdNcaN9SShceWlpaBEbN05xVqotJ53K5vBD6a9JAjJHlcjl2Ry4WC55KDqS1lu12y+effz52liojqJq60+nEl69u+S9/999dYvRnvf3m85f4VJIfkiOZ0iGVJIQqp4wtP7PG4pDSXI5Fb5oSxgnbaax0P3knJV/rzAich6GnqjzLVUtVGd68OdGHM9vNmqETofmibfDekUIoeZMlyLyAOmMo3VSDlPusxbsaaxwxDKTQMwyBGCJ9GDh1A32CIXnePp74u3/6jm+/3/FwGGSh6RApA/NOUjkv05j4jLZm5BykmUfKQJmq9jRNjfOemGYWCBP2kCpDLOA0F23a1QT+HGB6t1Q1Hdu1JuhDm7y+OK2/8x4zAx4W9V8cs/aclOuNE0ZZy8BSoTAXY2TOYsORRHpFyple5RTlI2U8qUjJlutr6fuudI7GwpxNGts586ZgChi1aPMuwPn3nTNTPwVKnyv/XZcGQxqEhXQGbJQMXEP5t87XhmwNxSqNXJoUQkqFXBVGN88AbYQCTC2YTMxGWMzC9j7tD8SZTc6Htp8FoNIbQSaEDsg0lcHbTL2sibWU+c5HYVCWbcUXr15QeUMMB7x1VFa6NyoHQ3L0555kMt6A8xaSJYRE30ViA3XlkDjjSur4VKTsSVHMPK3Vk6/eUZGUBzKRnEQoHs7iw+RYEnxPtiJcFu+phHPgnC/PoNxMshKbU8aXtXxjsng+hUB3ONF3B0zqxFur5BB1XWmFjxLcm4zBVTXr1YKAF50EUJVV5MPbt/T9wOl45K/+6q/48ccf6cuYs3t65PWPP9C2rZg49oHVajVOyho/st1uWS6XnM/n0SBuXkYTZkcm67u7uxF43dzcsNlseHp6uqCR9eHUiVpfrxO1rpiMMSMzoiXInPMINjRmxhdtgeoEFHzMGaemaTifTrL6j4E+lCDqKKVhnCcby6nrqKIn9AMpCfDwzo/7Vo+rvu95fHzEO8ey8fz4+jUhBF68+ISv7m553B14fNwRUsRhS/CtGGqesxhpVkZYx5wZaXcFNNqNqd5iCoL09wooFVyq71aMcSwJKqDVPD49D8o4Pjw8cH97i/qkjd1/fc/T0xP7/Z6bm5vxs+fXoq5rfvnliz/p2PDnuP3qi/uL597hMEyGkyGKvQpGMkOHPIEPY8rkiehCvK/x9RLr2zEQFiNjakgDKQsT7mtH03q605HusCf0HZUTp/6UIyFLQkVKIneom4bKi/Fod+4wUeDMarlhGKZ7kQQxZ4bQc+5FL/WwO/OHH17z//79t/z++zece0MwlWipUiAZYfoTU0noOXftccug+Yb6umu7g+lcGmkI0knTliYh1K5mAlQfYp70dReHkqeffyyYuvgi43707+bi587ZC2bd2el4nbUiti8gxmGwbvKIm3zpBET1g3SPZqPlRCnf6jnTeUjeFxmGvuzHCHGQ+7HcmhMXcorrsp6OsXpt9HieO4eX5/NdAf8cTCk4zgwYIxFw8uuiZbbyd9FbQwqRfuhLabCYbF9//AjgAWOIOROzeE+SEq5kZRorFkreWT52+1kAqpwTXXeSwdyZUooyOJtFzF23pMZijaGpHU3l2KxrtusFJollvEE0VnXt8W3N06HjdNyTTKbxLU29pKkWmGyJQyL4LNRxLjoAxMckU+ykbGGU8BhTA5EUT8RwwJgeZ05YOiwV5OLjYgPkHpursS5tRZQ1GwC0xl5u8IsHWmj+mCRBPjuLr2q88ThbAFUOGFvx619tWazf0A9/x8PTI0MQHRZ+QQhiTNm2LVVdMfQ969WSpq749ttvaJqGFy/ux/BcYPx729RC3c9KbfqgzEXj84gUnbifnh4umI43b95we3s7ao6UoZqXrFSgruU+fYi05KRsGTAyMlVVjfYI476qili+w7LYB5icGEhUTUtdVTw9PbIpQvnz+TwyQb5paBoxihtXWgWIKTMkZol2BJvq3J5zZrVa4VygrhsMlt//4ffEmFlvt2y3W/phoBsEOGYTMUYAoCkWHM4ZYorSuVlApU4WWn7ruo7b29ux+1GBpZbwbm5uxnM6951S8fxisShxFRN1r35bh8OB8/F0EZ48n6zUGFWZqXk6/av79Z98fPhz2rarlhc3i6nhBdGPGitdazHE4kclz53zbrz/Aaxz5GjL6x1ts2S1vqUfEhQm2tc1GIPPnhgDj49vcN4SsnThHQ8noPimkckxjZ2EuTTXmLamaVv6znA+d6LvqmqOp8KSm1TGA2k1P+ZEyIZzH3g69Pznv/0Hvn97YH9KBCqS8QSTSEz5rFNEkps0Me9om6YSmEgmpi5THZN0DLgoLRUhuUXLUF6Ym/HzZ58wY2Dkekx/zoXR8989J6T+MED7MHjTRbzuq+vEZ0sZK6fdtvodgcp5jCviaVOySAtDRQgSq2YMIWgpV/dvUOufd0DP+D3y7BowLqCvz4M2yMzHro8BrR8CpFIqTYDYemTjZ2VRAAXT6aJ+morlRyEG8bZUhmSnqLpKvyGYwvqaol2MI1vs/uUBqkzTVjRtha+sdGTZQIqR7nRi2bZ89tlLbrcbvAWyhHNWPvPy9gXd+UDXnSAFnAlUrqGuFgQfIPakZLCmommWNM0KaypiyMRkGbLFZFP8OoQJctljwwqsI3lLthmbA5YBT4VJAWPieKLHmEdjwORSny1UZ7E51nZWsKMgWzOClE5OOQmlWzpJlos11XqNtyJGTSGQU6BZiLHdJ9Zx7obRdv9wPLK5WVLVDW/evBknTpAVq3auKVBRkfFms8Eaw2YtdhF9ny9q4vrA6MA+F6org+WcY7mUkp92v63X6zF4UzU6ym7MQdJ8AtcSlg64GviswvZvv/2WF/f3srKOkdCdRaMUA3VVYSpH7M8QHd4ajPdAJsbA3d3dWOLTEmMupcKmbtjc3oxC7sPhIINV0REpeByGga6wdLqSbNuW0O8LRd+AtaQM564jpCesdcQkINF5L23P3uOcxxpLGM6cc8K0U1aisn6qC7u5uSHGOOrAFOyq/5RaMigFr6/RVaUyVFq+05KuAlYNPdaJStk/vR7KIqso3hjD4+Mjv/j8/k8yJvy5br/+4kUpqczLRqrZRDqPbRadjLtsO885E4zB1StCNpgsYb/WykSQkPtV2QljM84bTt2BsB+kPDgknBEbDrEIOY6RUrII9HThTIoyjaUs5qHWVWQcMeTSyBIxVrr6ui7Qx0jXR3bHgadDzz/94Q3BNQRTc+wjtgJbNbgkY5/oWi+dup+feKeJT6QS5adXpaRrbyV9zXy/+QokPN+99X4tT86XoOlDZcJ3v9v7gcW0eBVwqUx0XWu3u7jWYy21r3BG0je8lVB6gFhMOa2z1LXHVRXnrhMNVUpY4zDWl451PQcCssxYEnvXTPT576LVmzS+Z274ef3drvVV1/v7aWAVCzKSBrHpKuaRcZuOWQ1GFTepQ8CMERxBt/x9LGWO810ujFyiLybaH7v9LAAVKEulbdsCUWxO1E3F7XbF/XbDdrui8gZSIMWOOJzJuaapxZ6g7waG7kQXe0JY01YNySQqEq3PrGrHqq3w7YbkF0TfEk2FmCCIP7ps0w2cYy7eJgBWBJAmkFM/lgOtjTiEKrXeiT2+gqTZQyvXUUV+oOZtYrcwhXMaA944oWRN8VXBka3ceLVvOBx2NE3DJy9fTmJsYwhDz/4gLNC5+BStVivqppHyYIxknUiLcFnNKoUV8qNIfW7SprYD83LbnGpWYbpmCN7c3LDdbkcGRFdY2+12tGFQlgUYV0lqPioRRL34jHlH7DP32w1ffPJCvFdO4ilVO4stx1zXNefzaQRtMUoeHcB6vebpSfIi1cJBQUTOWTLv+p7dbjdm23k7RbbEGGlaOU++fP+53xOZEl0j3USL5RJjHQlhIELXUVWepmkx1hbPGEMIA935RHYOP9jRkE8ZQB2IHh8f2e12I3jV/5qmGctz8hxNdhMK+AC++eab0fQzxsh2uxUHeO/JKRH6YWQf9TtbazkcDqNBaIzCfD4+PpKzdBL+5qvP/hTDwZ/t9vWX9xR1CzqhwQQQtBsTyjVwAJmoDHSQ0cAah4pF+nOHLz5lrTP05x5ij3MVy+WKoTM89icx94xZGFtvSSkw9F159mxpaJBsvpizuJwHYcuN8UCNbyzGCFtgnCWHyJAiIWaOZ8nd++a7B0KqSLYSJ3YDGHF5tzkXXKFjpETn6ESoOqLLrTRnxIAyEtdlpWswMC/JzQHA+8CQKZSPgtsJAOTx9x9ipH6SjZkw4bPbNUjRBqJoRT3mvcdfuKGboonKY7ektZY+BMgJa3zBDqZ4l03jbEZBjHpUzfVFeoB21KyNDM4ViL0GX7p4m/tPaaXmfd/5glV836boKJcooUw5BzPNnZkAayaBSeNpz1nAJ+i9ZchZ5Be57D/mTC7znSmB1No1mrv/f8OR/9mbMXA+HwttmFlv1tjsyD3c3Gx4cX/HctHgvaGpPTnB0Pc4HG/fvinxM3AKmeM5EXOm8h2hP+LzwLpZsl1ULIuTqqs8PWN5eLqgel2NMBpSXzUEixjeWWRFaDwBQ0q5tKMO2DBgk3TF2BKYnXIab2QdMECsCnRFkLJk/5lsLliDmCJDP5BTwJlM5QyuGNTlmHFVLV4kQZK066qi855U2mZjCJK2nvOoJQIuJk0VIFprSiuulP8ULOgAr0yXlnnUJ2leMpQyrRd/q8J0vHnzhhACm81mFKVbKxlzWrJzpUxhDCzaBsJAd9zTbjYsFsXawUCXE7Wv6dWQsjyI2nZ9Pp/58ccfR+d1BXIpSSizCubneg0dGPq+5+HhgZjTaIpaVRVNVRcvFxF1Kyultg3quyUAJrPfi5bJOo85dzhfEYeevjsD0nljrQQpr6sVp/OJrutom5raewyTC7HS6iosTymNDJvqojTXT7sVY4xjea/v+9FDSvVo2hbddd3oT3Y+n8UuIUnpUs+tmoZqfqDGCCnbpdqtlTEsFzXHk7Kuf9l+avv1FwqoBFTJRC1GhRJZZSjmSu+wLcZq2LrDOJlQXckk9U6cw9++fUPfd9RNRYXj8PY1OUeaSgCYjZGUI11/ou8C1rsS+G0Lc+xxXlzYQ0yELHajBnBOSuOn4wOSCydhzM57Yo4cO2Gnvv/hkZA9CU8kYbxIKmyOz5wRmRDnz+W7E60y+FN7frpiJnQin58v/f3HMC/PA68pveCnXn/982e3/L6IXXm9jvuiEzITW1ysNXxh37wpGtRM6ZUSA+lQmPbVasV56CUiKIbxvIpljoQA52KEOgKQfHksF8dmwMyYnPd957mv13XJVK/LVJmBjwJS41EYyKIzNNlCiXPLeWKipGVBgLkuVublyozngu0cAe4kqAphKCW/EnxvYVXD09O/MFG6tZab281FN1OOkdvbLavVQrRRlWXVeOrKEYcI1hJT5DRAQG6c8wB9oZJNSSF3vsKPmUWJoe8Z8gnb+tLBV26Ai/ukRNxoyCZGWpZH4WgJbjaOrGGLIWCGgYTDu5aRwp89mOO+dUUwDqjzDglhtVJKUFXilZAD5EAqq6c4yOolxUnQaQ3kHDkfz/SICWdKseQ2KaWbSGnqynNO9TJSvmyaZhSHXw8u8xWhHqvqcLQcpIyWdtupQ/nDwwNNXdM0wmpZIzXtzc1mZHiaypNioK48lpamrkeN0s3NzQgs1FRSNV66GvLe89vf/nYEcmoPoTE633777ag1UhZgHrOSswiyq1menRqO6vdWo9DDfj+uCodh4O3bt6QUCaErTF1L1+3og7z39uYOMBwPR6yz7HY7jsfjqBtz1tF1Z2o/dTbqd9RuzZwz3333HXd3d6Oz+RyAbzabEQzOy5MaBzT3Fpv7/+h5qGfaqdVqNa6QT6cTt7c36OBkreF43PP0FEZ28xef3fFffvfdn26A+DPaBFAx3l8wj/KQZ3ia0CMpTW3qzoruBcSWyBYwJo7mBVjEoXRs9QxDByZhvXQKGqBuGoyRsGJMLL55MtF0XSc6QmsJKZGGUCbsYjZKg6tqzl2Pq2LRmYJ1nm44cjoFdvuOh6cj2VSEZCSBwsoC0ZYSX7FbnJVm5lqlia2WhZxDjOTjKNqf3nsJlPTvc2A1B2DPCd/nC83nWK73fZZuHwsKPkY/Jcc9K41l4YeUuXdO2vqVOTcqLSnfY7FYjB3A1ju+/afv2Ww3ZWEl+Y/SyTk/IpnXpvLrxMrJv0qoz+x7XrNy115V79NOzc//dTl2vr/5n9NxeAy2ACphZnMGcrqwk8DkUvmZwHsqHm/KU40q9aItE7AIrq7F2w0hDsjw6uWG/tC+56q9u/0sAFXOIqxNMbJsWw77J4buzGefrnh5t+buZkvMRQyXRd2fvMcEqJ0Xj4o8Oc3GGLGVwbkKZ+RCn7tO/JOqmsrVk8GubsZoU6sMEqXLz4mtOdkWtG4s4LC2wjlhy6wVLQwZ8WYxoeT4Xd4s2mmhdWvr3qWWxxsOS6JE6mYL2Y6spiGLmVtKOOepKjH2bKua2EjcTVect9u2Gc0xgVFHZY2V81bo5bZuqGoph52K8Hte0tM4FT3Gw+EASNmsqir6rmPoO5aLBRTfmtpbVovN2FYrJTlhtLSbUx8y9ZyqZ6UuBT7abajaoPmDqaU+5xxv3rwZtURNI+yWAqKXL1+O32cERsUPp21b7u/viSlxKJqSGCO2bfFWymrr9ZqhEzH+ZrO5cEoXvyfxJ+v6jnaxxFjD1jlCiKyWawGZXcfL+xcsVtItudvtxPl/GEYmU49RPaF0pXo+n/nqq68wRroe3759O57PFy9e8PbtW7quY72Wz7q5uQEYvWV2u914refZX3qudo+PeKfatkzTyLnfbFYMQ88wTHFG3vux+9Bayy8/v/8LoPqIbdlWfP5y+87EMzevlU2zQucdWRZnU2GwhK22ZIgSRExOUymvciQyMQ5kMi4bwpAwCSKXDK33hhAkWPt8MhjrJOLFFIdsa7CF+U7ZgrEkY/BWeo6HEMimZrc/sDt2PD4cRbjeLBn6AbesMEY0MApzZCE7L8k9P7FaK+7uoYTSY7iQIbxfI8X47/licP775z5vzkZdM17Xr3vu5/NS1zymxZS5ZfbtL/4+7W8KTE5JSqqqbQMENGeBo640MSiY0oXR8Xhku77l9es3vLy/Z386sqrrsbwX49P4WozcZyIZUVA1B1Tm6s93t2sN7HPM03N+VNfX8Hqb5kFw2Yu+STJGxKC1sHNghEHLU3kPI6VhEapD5jLguFRKpTpjwJDoup5MpG0bqRRkuedulpY/vKdk+dz2swBUznmO+x1x6LFxoHGGmCMmhWIVkMQotjgGJyB5J3YItqzMMkRrcAZpAS5J6zIJnzk4x3q5ZLu9ZbFoyc4Wb9880n5aMc5krJOLlYyAqWRESxWTrLZMFJGfc+I07L3HOluiI4RW13La1ImQx9XBpUxgql9rLTulyQsrz95gMBLLQAITsMZS+YpF0xCXS6wz7B9P9J2UfFaLJSEGdk9PeF/x8sULKCLHynkikaHroRabhVM+jcHH2jGmk3DbtmUwzLii7wr9idBLHEvlDW1b4+x6dDJXcKCaqzk9rB5WWkoMIWCbBmtktaxC6q7rxhLYNOnIprozFaTqgKaByqvValy5zSMUdAWsLM/r1685dx3Noh0nueVySeX8O2aXprBV9/f3IwsXQgCbMfs9VV2RomSn1ZUZbSbu7u5wzvH0+MjxIF2Yi/WCmAJ912Nm2o3VajVGwSio/eabb+j7nhcvXoznQTvvFLAqva/WE9qZ+eLFC1LRQFXO0VTCTAx9z+HpTFNXM2q+u+i4mnuYyfPqxvPc9z2ff7L97zIO/LlvX3/5EmtF1iBjw+RSbYyZdb1NLMXk85PEQdyWSSklSJEYemGqe0fXncgUl3WgD5GcIzHLc1JZT3bF/2ouL4hxBHA2qxhaOsWGITCEBNljrWhk6qbCV4aYzgwp0fcdu33H69dPvH54ItsaYzwpD3jrkRZ3sFHZqXcn0QnAaPPOxGDJPy4duXWbl/110p5vz7FK18Dqfe398/39FDv1DpsyY2jmQIN3tGHPHdO85ClxP946aufxThg7a+zI1hkm7VKKsWhle+qqol40nMtCyDnxnru7u+V0OnE+n2Xcij2XIGcO9vU6zCtjl+zU9Xm+Zqd0vJ2P0XBJfvxUKZZkIcszkxHpDQVA2ewKKaXlPt084jBVjss5KY8yQlj0BzEEmtpT20Q3DMQuYZ2lqSTZYtM6nrtf37f9LACVMXC7vYEcaSsv5aDVgrqpqL0pfk6OlARM2ZwBV8TaFaFMlpWzBG+JAVmdGUceBgyJc3cuepEzTdfhTA2movDJwlblLDV/ijEnlqwiyAwxi6knKWJzxldiuBbCQDYddS2AI6aANRWqDZBNb1Z5rlR4aczlw6o3NXj5ZdFLaACoKe7t3XAiDGUVq3RxTsRhwKRMXco4gs4ylRdX8T/84Q/c3d0Bk/mltuVrh15C3JD13KyXDdYaDru3DMPAzc0N3tsxCFg1V/PMt/V6fWE7oL5H+rDNI1MUBFgjRnVzs1AFYAryNNRY/9MJxzk36qT2+/0IiuaasRgju92OxWIKgNaWa+ccNzdbfCkteu9xXiI7NHZFxf+j4d4sIgegGyRDLQxxLNsuFouRMk9JYl5CCNzcbNjebKR0GyJ1U+GsL2aiJSKolP+UGby9vcU5x36/Z7lcstlsqKqKw+EgnlVNw/F4lG7Hcvf2XTfqznSAd85Jg8IVENPBTcGUTjaj4LWwhFNws+zzi1c3f4JR4c9v++0vPx1ZV104afC73sd6T80np5TkmQ9RFlDOa1kjFYsFaRF3lQccrqlLo8EZY6HyDVhTin7MJkxzca2BC7Aii9KMMxHjM9k+ch4sdVuR8TgrGaCH4xO7/ZHXbx7Z7U84X5GMZvEVNn7GOMwLSvqTacK9BDdz5dFzoOa5Te/heanuObD03L+vy4Lz976PnZqf0/lxXoKPMWrjvcDsHQ1ZmT98KdXLAnBeEix2p3Eq3Ws6R1XXpJyLZECE6BJJNJDzZMdircGMBMx0LSZQ/3xX4zWYnAOo51gnBVPz+3oOhN+36QIeKKpD0YxFF0lWQrANFptLHByG0gUhpWojc7vJxRg2C9NnkD8zSVIuFjW1zwxDR+UqPv/sE1599gX/7ldb/o///ON7j+96+1kAqpwTOQYqZ2gqx+12zf3dDWufWHpYFNZgCAMxZZnwnRi4QcaEADmSnaWuPDEIkHDeATWVzdR1g3VOgnwPB6rsaNZtoTkF9eZyosUsVWJlcnE4T6OOwWFsJYCKpky4RXyeS7SAuX4gFSRRarl6I14PEOoYb8goxZkw2ZXiX/GxyqJfSTFgrcdb8bHJWbqBPn35guO5G/2ItGNMQUnd1JOPkcnUbY2vvYRO20wcepz1pdNhoqGbphkZmYsON7gAQNp9llIahdtaGoshklOiclKqU71W3/d0oeM89DQzKwAFesvlssTb7Ead13K5HDvclA2blyfVDFOF9Xo8Ss1ba0fmTEHSsTtflMYqqyU9N3bCOScrI2WQFPCEnPC+wlqHr0umoUH0I+X+qUrmYj/0vHnzZjLKdJ7NegMwHrt+rgr6daBrCpgjJfrzicpZTIocdmKeOh7vMBDKddafaYOCasIUFCsbeb0qn09Kuum50X386stP/ruMA3/u229/8QpnKwwlrgMBRtZ6xGuoGpnqlDIxTo0hpEjuB3FVTyUWBofJUSlsaaU3GZMjKQZSFIbIW4NxnqEPZbHCyM7K51z6Cin7KZ1QSA6pd2QjXaopGXbHjuXyhjdPln/8/i2///HEw7FjyFkcvXOS9yDHavVeorDsV5OoPlfGTHE0Yj8jwC7l9MHJ93r7kF5n/tm6XQOCjwVxf8z2nB5JnjPJ29PvrJpHfbUtGl5n7Rg9I6UrQ+Ur3SHGWc59N2pdT+cOax3OefZ7yUtt28UI7mMK4xifs8w5Cvjn8Pd923Ngan7OlA2dL7qvweNz+4MCkFTnNdaQFPRncUwnEMsuJCzaFKAFGSeSmdle5BdJyubWMnRH8mDYbtfc3rxkvVnx9de/5t/+j3/NpxuL/1//9w+eA91+FoAKoG0qGm9ZL2pu10vut2tWtaE2cZwMDYkQi2GXtSVqQM5XMgacIXtPrBwhQtMuqGzLpq24Xy+4225Zr9b4ugEnKzzGiyqrCKuZT2Sk9TLDhH0LpeSgBB674gOitWwFRTkXjnGmjZIbR1qUJ/+POWqf0Lu1Ug82xgsgy3K8IrjPNM2i1NLBWYljCENHSpFdd8Zax/ZmO9KqQwkSjTHSHbpxMq1cRW2EaVNBck5tEbkL0FH37bneSE7FxDYpQNNQV8kwLD4pZWAIIRCHMFLAus+RHWFyUtcynf6nwEw1YHPbBu1WU03RZrMZP0+ZFdUM3d/fjw84MOqTtPNNje/mPk/KioXSCHA6nfDOsVgsxiDhYRhweVpP13U1AhQBe4nT8cTxdKBtmzG25nQ8iT2ElXtMnZK7rg2/9ssAACAASURBVIMsei8nI6yEweZEUwbKYehnfjWTb5R6Rym4HA1mYRxk9XqrFYJeI/3uc52NnifdjwLpXI7vqy/+4pb+MdtvvvwU0V+qS7UCBoc1CWsjMYrTNcjPxxJgTuQSYmfRVvgobtFG3J777oSxFhuF4TQ5YzOkIRDKs6Zg+pqdUpZ5zkYoqAEJfY8ZFoslIcKbxwN9H3jz9i3ff/c9r98+cg6R6DKBnmSd5BVGcLbG5gG4LNWVv433kfcVcysZfd0cTD2nvbme0J/73XzTc3rdvXfNTr2vjPjc9j4wMT+OD7Fksh8tY1qcB+/BOwkD1ldLrmhZSM+u4zAMtG3LsWTP9X0v90OZb7RyoGPSqVjP2NJcpeW+UX/0zHd8bpuPGfNzcc1ozcug+t/7LBUmBqzoui6kZ/P7APSXRudbI7UcYbRqrGkwdMTQj4BK2Sproak82/WS3/721/ziy89YLVte3N+zXVb0w+nZ43vf9rMAVNYYtqsF21XL7XrFdrOgrSzeQl3ZUuaKMugYsYnPsVDmgN4C2Vi8d9RVRUpDQeItt7drXtxsWLUSalt5T71c0iHaqJwz2DkapvwZUKLcZNEuUQqCGPG0cK7C+yjO5lHYF2ONlMtQjxTGfV6WACcQ9s7DlZUmFkBnbC5x6QCWEDPGGXzlicGRTaIPPcf+yOE8YOslbSXC4dxnbBa2SVeCwFji0dKXgo7loqVt6rH0pEyEvkcHGtVgKKhSkNZ3HdbYi8iTKTKmZrFoJVoDRuZEJ+lhGGibSfC8Xq9JKY3eRypq11KXAonj8Tjm4H3//fdjy79aB0yr7gkAKjjQ8oDQ635sz56DPAlxrhlyP5b+9HvpwOCs+EtJGVEMF1MqZbRCy9dVPRqcphhpm4ZW2bzjkcN+T1M3rFZLaWfPSewzCn2v9888p1AnJAWjOsjqxKHl1rl/lYr9tVSgr5sA/bRqV6Cl942WSUEGvs9f3dE2Fedu+Mgn/l/fVnnHLz97iYBmdzn5ZmmXJztSjKSspdaJ9SWKYFwnXGuVOUzCiLrCpOdMDAMhig2DM3YE/DFLcO58QaHHMgc4OjbNnw1HLqUlYc76PlC3GV81hAz7w5EQMimL0le6w8Qg0bkGZwy2zDaahTo39pwA/Ryc6DmaJuDr7Y9lkObf9RoAXYOe/1Zmal7ymwPY547lOTA4Z9DFtLU80znT9wNkiUWpajH4tIV5Ns7iq4rWGnzwHM8n6qqiWYoHn1qsnM/Hi/FexsFcusivAetPn4P54lOB2rXGbX4urzv9ngOZFz8zEYxaZ797/srfhEktf44Fopzxbct+f6BtPE1VE4czxmSczeQgAPTLz77iy89f8atffsl2s8TaTF1Z9o9vIfcfPAfz7WcBqHLOPL59Q2tvWLzYcrddsai80NnpVFZJqTA1iVACOUNKFOc7IEvAZwyQoa0bQpDBCSNeKd57caj2TsplvlKz1OnCK2DCjCW26b/5oKMuxRJmSRKTT2IU0z2xdJzAlKJi9Eaat3ZOBmVzJovsMNaUAUXDliPWRBInyIG+P7I7PnE4HcDCze0t7QZ2p/AOU2GMGfVAk++JGRkO7ayr66p403CxktBV0G63u8ibMsawXC5HAHUoHWUPjw9jd5h6ITVNw36/5+HhgdNJ4oZub29ntDYjy7JYLDidTqOwXMOT1ctKy4BqHKoMmk4C12LIp6cnliV6ZgRBs/+qqsIUsy89T6fTme7cCYgYJkfpnDP7/Z7z+TyZp7YtsbBpGkpsoHTjGG62G4wVIXh/Lp2Us2u+WLTU5bzOdRXKtu12QtfrOQeZiPS8qg/XPLJHGTotfer11ms9XznqffHcNi/9KXOn7zkcDnz+6Zbf/ePr/6bn/1/D9psvPxUtARZDCTY2AhYEnBZAlOQ11ogIWRdcYDCukrHK6sq8PJ9kUhSzx4s298yYZJAp45O1s/dPOkPNQpNyj+xbS4+YLGOJcRyPR05dIGc4njsyhiEEuhCJ2YgJci6tPTmRMuQQsCmKrspqx9UEmLT0Lma/73r+aBTPPwfgzEHUc1qoa53QZSnuXQ3Rcx2Az23PAalr0DAHUtcsm8nTopsslhYZ8eSS6LlEHzLGNeQsWbV12+J9xNdSQu5iGhtjDgdJFUkp0bYLJBC5eCQm8U5UMKuylA+d2+vzOoLwmS2ILthgamq5PqfvnK8sc36paBeob8ZDmpcMlZ2yzLTJxtCfj9xsVnTnI82ixjYrhu6IyT3rdcvLF1v+5m/+mvWqYbuuMfSltGhoG09VNVj7L6zLj5zpjntOjSH2d9QOFo0jhUzfSZefJRNNIudAjIEYB0HVJoERLUAfBvpBAFU2ifMQyWnA50hFwt3f4lcroOgGfKHPx2t4fQMJkJOby77zm0xpZ3aOlLWMFcC6Z+zq8wVtKQ+P3hQIo5W5AHHZluDhFMoqVrods80iQD6IsWZ3Fgd0KDlXQ2AYJtda7bKDSXSqzM11XTuEwND3nEwe3cZVDK6T6Gq14ng8Xoi/L0pw3rF/3I/O3ovFYgxythicsWxWK+5vbwlDwBszluwEPMQxgPiHH3646Fj7/vvvR0sE/dnxeKSqKu7v78fyZFVV4/dr2/ai22++2tUHUtkqc5F1JXYbuQzodVWXnCcZ3JqmKSBP7h1DxlvDopHPPu4eR1sHXwYR54SFmLN+Y6di+ZmyXqoxUwA5j+3RAUmvXc7iQ6OAcd49o2U/8SRjBGRz/zA9Z7pfLQfCxFScTiceHh54enoao2207PnydsHv/vGPeOb/lW2/+cWnwjhn8ZLKicJkl1bwJIy2lvlc6eiSCUoaZDDCMksGqQCpnC+vVc4yJlE6wUbWMqURhOVC7SsglgnDjI0U04Qv416IErLr65bz+Uw/iMj56WnPP/zj7/n9778lIyHJIRafPYrFYgabk3RnMbHic1Chz4Ix0kykXnkgxsfz3EN4vtz3MdscrDz3vmtmZQ7C5osJfe2cTZozMdfg7xpUPQem5t9Hz02MkUQi5KEwO2Jp4rIbAWvlK5qmhgzHw4nzsWPZrknJcXg6s1gvMamn9g2hFvPmeUd0jBMbbQzE9Hx58n2bnrM5Mw5SQVAvPP1e887h9wHky3MTSylStHwzBQ3WSJlbuY7x3kaE+gaDsYZVW7PfP7Bsa06HRxZtzc1mAcnz61/9gs2y5e7uhpwGai/els4aUpKcXpM/PscPfiaAylrDZ68+4XbT0tYOmyI5DLiUqCtPKGG9YehLqWiEqCWVPUugcMqEUOrtGDKO0+nMj/2Z1B/JQ0d88YL1eoOrLTZFcHnSP40XZY59ZqJyM/9NWWkVtsmaREiZHIKsJF26JCnLIavbq0FRtQGTyC6gpn4pJzKRfHUxM5JJlLM44yoIcr7CWk8MicP+yPl0JlfLcaJWZmnORj09PoqXUOkEbOua1WqFMYbdbocr2gwVtmvJru/7MaNvGAZWqxV3d3cYY0ZmxgKb1ZoXd3dYY4t4O+B9RV15Fm1N13msNcTKl4fPjw+Z90Jhf/fddwzDwIsXL1gsFjw8PNB13UUuoJbuQgjS4VbE6sBFV5qCEQUsc4YFGBm4w/5IzFNoc5qxXKvVghgiYRikndkJy6hZWwou26YhF28sHSDGKImyP5jKhVpqS86xKXmIE0MmuYO73Y71en3R6q7XQK/xtempTrRadpiDSR3glF2bs1S6Tx3s5+VcBboKyvS1X33xkv/0//zTP3Mk+PPdfvHFHYMJeCdNCbkAKGGSDDKsabSVkeaXUvK3ZLL1AsAsSqkDSfaTkZijpE56IlGgsEG51EGcm2KLACj3wPl8HktLqYyjMuE6nIOYJZIqGzidzmRTk7PleDzwD//4Tzw87ciIED3GSMgRrFYPDGT193uX/dGJfX5fTqAnjSXt+XOqr/9jGatr9me+cHoOBM1fO9cV6u9hEtM/tw/dPhagXGu2chYPsWiKGN1J/I+zjhgHhiDylZwzy8WSt2/fsllvUaXIi/sX9CnSYIU1rC29HxhiTwhnhqHHzmQgOTtishcSiZ867HkZT8/NnJ2qqmpsWro+P9dl1vmfullSsUW6KPMUVp/SuTdN2spU2cKu5RQJ3YH1wlNXlu1yiyHz1Zef8/WvfkntDU3taGtPChFINHVFUwiCxjelKvbBSzduPwtA5axjs15wt9mwWS7FcypFnC3gJmW1BQam8SRbw9AFIDPEyBASISbJvEJ8JFKKnM4nXg9nTBFqGmNZ2RqTRPOUTSTbYmkvn8AInIooTpgjpf60PFguqj58lDp0ChjbT3lbmYKbhe4f92HKXmYM2dynZTJ7LCVEYyBHUoLD6VhueltKjDJ41r7CrxyxWYsj9+lEdz5LzlzRy7Rty6JtaZpa2LHSydd1p1GEvlgsxhXHfFALIbBer1mv12OHnpbcdCIfujMmZ9q2Ke39q4uujmEYRq8jYCw/gXaEeLqu5/HxkdVqxe3tLdZaHh4e+Pzzzy86DVUcPQyDmNpttyObo+BxPLuzgUoZqXknpJQazxhrabzHI7RxuxA7jK7EttR1jbeT6agCW41j0f3XM1Clg4x+1pwJUqZqXsabi/ZzFid0YATGOoipwWZTLBO0xKNMlg5yYgtxc7FC1zLpfr8nRmEF55YNWi5UhlPzGrXLDxhLyb/56tUf99D/K9v+zV/9Atd4rHOkaOiGgE2Jtm5lDEKuvzN6v8jYYQDjMlgBYurum40YGmZrxZNqXKYLQyWlIWEcDAlfaflFWA4F2qvlkhAmBsj7GmPihR1J5eT57APs93vqxQ3H88C5G3h8OhATxAw5m/L3LM09gJaqxjIkXNx/+u/RSylNLfvPaW3mAGe+r/eV1n4KJOlrrl/73L6uP/99bNf79vEcY/Xh92WG2EOWjj5XnjlrwPaMTLn3UiGp6qqM48JCWVdjMFSVJ+ZMYzLL5Yrj2TIMCevlnoo5imWmFSZoYrc/DATfd16uBerPnY/nruv899kmBQC8Y86ZZc6aRDgysyo2MBmMFbLFA//2r/+a+7tbXn36kvWiwTsBbN5B5Q19MuQYcL6iqRyLtsEajzYpfez2swBUxsBqsWS1XpZ4EhDhmCVmSyp0n9EzaAxYaRlORkSOfYgMoXTJFISa9EEzZuxqOBwOrDcnmsUaEwPGRZKJZGbiTKMXWKu2ipJnJzbLIBKNJRtLdA5jIp6Ey73EArgGAWkjjp7tYe6wAkJrZrkthDIrWEvzvTJqsz+2WMdMjGfiIN9bHGMtMUSSG3DWsmjqAmZ08h/oe1guW5JG5hgRuWo2X06JN2/ejIOcirvVwkABxHa7xXvP09PTCEx2ux1p6KkrT993PD4+UlUVN9sti+VSHrScqcuErRO3sjLy1YUhuru7GzvedP8ADw8P1HU9MmVqo+C95/b2lt1uN9brdeKvqmosU7ZNA0txEB/6rthBVNSVY7Ne0p87NqV0dtGFOBt0Vcit5TUdRJQx08lCV51zNm0+6My760IIHE+niQOdlRLmPi466cx/Pz8Huv+5a7x+/lyUrqBNgbCGVs/d5xWsKrBWYKyMn77uL51+798M8G9+8yUgqQreCXMzDIMkIVQ1YEhxIMcoyyojYedkYZagKgy25CfMB/mEGA7nMl7gvITjFmbC2Iw8dhPbnnMWvVWe7s+cKaxUESqHRIpie/D48IDzjegIq8j+cOJxf+Bxf2CIiWydjNNGzF5cKdmFVJh6M0XoXE+mcNnsMl9sXIMw/bn+7NmJ+D2lpGt26n2vnb/nudf+FCj7mO1DwG3OIoahF7kHhuwyNhpskZnFKD5km9WarjuzXq94++YN93cv2O0Owmh6L+Aji4RjtV6Sjbjoj67zWp0xsujHCllh8sCH6JnrczFf7Ok88Zw27H3nawLIlHmwkBx5rm22YA3h3ElDTxS5hEUimITEzcRw4te//oqvv/6azz97xXq9wFsxn66sxDQ5m7EkjAPnGPeRYkRIXjvHcR/cfhaAKmfp/lovl9R1hSlxMUlPuDUYZyAa8QmQwjxkhzGJlCMxZnEx15NuitAySQYU1tIPMmGdT2eWqw5bDxgXSKVt1FojZqCm4JlsycaT8QK4MMVSQSwcotBkYKSmTVmV6f+Vapft3VWJwizD7KLpnZQzNul3kRvEJNF7GTLOV5iciLEmNi0hDMS+53Q8cjweScMAzuHcxP7oDb1ardhutgJUziJcPx4OhEHYJyo4Ho8jG6J/tm3LJ598Mq5ejTG8ffuWw+Ew5svVdY2pK2zp5Kmqipubm1FQfj6fxwdZB3J1NQ9hGI0wUzJst9ux7HU+ny8ClrfbLWrmOd/HDz/8QF1XRYQ5EAYFRAPkyKKtqSpfIgfkvtts1qOYveu6sRNK/60DvYrg1cxUz+fc7FIF79pxOF9x62Cp1+K6TRuK9qDsQ4EOcDnIFrCoIEwZKGWQ5mzhNFmKY70OWFrCXS6X3N3djWyU6qzmGqzz+TzmKOp314EShDV79XL93z4A/JlvX//yU3JMWOdKmS2OnW4hhBHEGpsZCsudPFSto/IVue/IMZATohtNBVSpUsloi/iUNWp9LYx4ShjbC3Ne5k7vRRSfUpbIjcz0X4oYo2XlRIwdMZ4JQYxrM5b94chuf+QP33zHuR8YEsKc59nEWboQUwwC8Gada8917L2vHKTPyLzMd1kW/PCE/5zOaf65+rprtuT6mK7fNy8XXn+PjwFX8/FjPk5Mnn3DBUNiKRKDFCFoWV/uoboYN/dDV2LH0gSWU2AoC0vvHd5bnHfEJHl1zrhyjuRY+lhYzo8AU8+dOx0XprLhZQfj9bmfb9PPEppbieb3KUuVxcTaGrHlyUAqwcZt3dC2Nfvdni+/fMlXX7zi66++oK48y7airj3n455qtSCVcnrlDTY7idsKEWsyaQh4b2kLIfGx288CUEEhnexsBaHlszmnU/L0clkJyckvIk/kZyIel26TnKPgGWuIIXLse2pr2G42rLc32L7D2xpcpjJgKCAleTocKTsqP+lgBMlnQcvGjIAugwC8pEdryOWiq3XC+B1mzJTVQUFZt1Jy1HvKFGLqooScDRhLTICxYjFgJduLlIghYDH0BvqcCUMQ51xfsd1shZ0BDqVDLQTRQdW15PH1g7BKIUaapr3waVosFmNkgZpPLhYLnp6e+Nu//Vu++OILmZwB4sTU6GtTEca2bVNE1wIA3r5VcfzAMDiGIeCrdhRj60CjgGG324k9wnffsVgsZHCI4oi/aGth4oKCGUNdV2NJT/c3L4l1XcfxeOTx8VFKX4vlWG5Vg83FYjG+T0qWfblGU9ecDvw6IM41VNfeKwpy53qlOUBR01Bl8RQEwaQjGdvhZ+yUxvQ0TSPgNE+lWv0+Wgadf84cuOm+5yagczZLj8WYKYj5l1+8xHvJLvzLdrl9XYxPvfPjOQxDkoUeOglfisEnaUjxZDIGW3kCka4M9t55Qugx1knsVRQ5gykSgIQhZYM12mwhuiQthceYOB76MYQ4RQVRwlallAtrlkgxE0qe3+PTnh9ev+Wb736g6wMZKfVpRUAaYwSwa2izPhfXDMU1KHpORzTfrtmtP6YcM2e45rYf8z/nf38fmLr+3fXPP/aYdFE6H0P0zzkA0depMDvnRExgjaUfeoYwMPRexvokqSCr5Yp+6MWfMEbpfofipt4DEVcMWKX6IzNTQrRE5PjHEDPjeZsDXWW0n3vd+zRw83MvIhoFwpegyhqPM4m+66i8oTsfefn5Zxz3ezbrW3755ad8/dUtt3f3LBtH5Q3eJmpvWN3dQAr0KYk0pWog9izbhv1uT+UsKUvTzmLZFLb147afDaCyqpHKgLUlQFpo7Ji1gySKU3oSijskiWOIRYRurMNSYmJCIiVYtLXkXWXHECyPp4B/88ThHPn00zP39wOL5ZrKC1ITUqjCW1Pwq0EFb7rpesGo4ee4IitqQIO8NycBefrG8p003JGcpYV5/GUuK8XZA603XS6r0Sz8l7MWsiPbXNxzxX+rbVtiCNTOMRjD0+5pFB5ba+m6M2/fviUlMfH0lcdXwojEJBPzF198wW6/53yWsF1liJTBmOt7dEL/m7/5G6y1vH79mrqS8xfjQNedSSnOmA1Hzolh6EsMQh51SfPyV9d1/PjjjxyPB25vbku+35m2qTEms989sly2VOXYVZyZUmKz2Yw+K3MmRUHG+XxGNRzqFK6md8Mw0J8FlEiZ+DQCwuvOunn3o3PuHdG5Ak8dIBV0zQeaa5G4NaKDU/Cm+io91nnXzHyf1+WDOUs1b5nW8zxn4BSEKchU/Zyeg8VicdGIoJNR0zQX3+nLVzf8/e/f/DNGgT/P7de/eFnEv4ZhSIU1dVQluionTUBglBfkJM0FOSbc1dQmYnVbgIyBJHmiVhdlWU2PBUwvqtJZFaeOQLnnIMZQynwWaylNPQLMnPOkUJj7FLG2oh8GnnZ7vvnuB35885aQEhk3is7TyKjIf3YGGOZWLfMy+vzenZf9FMg/V1L6GHZKXw/T8zKfyJ8rGepr579/3+f8FND60KbvvWbPLo5rBFAzM9ayIHfWYp0hJzk+W1m88cQhgoHdYUfIWeKzMITSzOWrin7oyDmW6yoALUQB9UMIhDiQ+emF0XXZUs+vjldzBnIOZH+Kwbuo3hidBxVUac7jLMMwJYgDlatYtjXdcc+rT+/57W++4tdffYa3JxmbbaJtaryzeJvZrFqG/kxlm1JSTZIykDOUjnrnHVVdXPv/CFX6zwJQWWtp65bK18X5N5VFWianwJAiQykzhfKfrqSGGEipkJPFSVwAUMLaRNc7ui6wqBuyg/MQ2B1OWOuKpkg74SIY7azTVmIRdVLE4galjEqLshGBp4jNJciSYlYnyqsyOGKkZGfSWA5MCqiSrpDkXe+sijKzfZa9lt+lOJSyVj8KzhdtizGJU9dz6LqL8pd081g+++yzsQMjxljynqRsdjweaZqG5WLBq1efoT5DKlaeu3+nlHj16hXee373u9+NrbIyIAg4u72VMlnf92PpaA4wFOxVVc1isSznwuKcfOeXL+5HF2c93rp8xnzVq52ICiLm3lqqH1LwpOBlvpKasy/WOeZATPVayibN36/ARI7bXEwC8+7K+aCpbJeW8OaMV9s01L4aQawCnYtw5tn+tFQHk+u7gial3NVeQq0kFEwqINIVsIJCNfxT24a5FkIB3XK5ZLFYMPQDfSfn7ctPb/8CqJ7Zvv7FJ4Qg5y0ELe9o+XagqrR87DAlhF0BlkXSGMSHL2FNxFm1GFBX9URKg6zabSUMVbJ4Y/FVwqZQ4mACIQZSOqE2DcIoBkAmZwHM0/OTksSW9MNAcp7d/sjj457vf3jN6dwBtlQLmOwNcpoWiuayAwymrjBljefbHFCNi4zZva6Ttj63H9rmE/84bl5N9s+Bqvl75+/Xvz9X7nvf5z63XY9f754f/b4CnJUxtEbygmWcESsXEKnAkIfC6sCPP/5IdpaqrqURohyPq9xFCLd0KU/JFTKfxg+W+953nvS76Xe5vk4/db4vfp4hFxBlKA0a478hxSAB71642E8+uefTT+758ovP+ezTT1g0Bm9rfGH3l4uGoe/oTgeOBOrK46wBawVceQkUXy6kScSV+2+/3xP/CNb9ZwKoDE3bslqvqUwk9GdC7BhyEK1AnyE6TPTEXszLVIBusojLYl/cd0uHi7VikpeSIPGYEtkIu3A4nlg0NSHFwnIN2GGQGnWSIFJTQJXJFcnUsxvMAG5kjjIU40YBcTlJrp8QSoZsBUgp+TYKzgu4Mmgn1rR/M+rACsFpS6bfWO8EjMEZyQUjGvDScu39gqaGZVtz03zKbr8nxYn5iDESup7D0xPH44n1ekVfHuib9Yqcl6NGqiqCa2utRNLkyadG9TSap/fixQsWrdyMXXcGIw/8fn/keDwXpsbj/RS7k7Ph6WlfAE0ew4CtdTTNxPyczxJsrYPptXZJH1LtOIOJ1teBQwfhw+HwTmhzznkEg7qS3j0+jYaZcysBBR06iCiI0bKbCvjnZTotKVZVxWazGY9Lz6eyPq4MfPv9/gKUadlxEmxeDub6nZ1zvHr1it1ux+FwGN9zOBzGfy+Xy1GAXlUVd3d3owVFiBFy5rDfl3gdYdeG0GMcNFVNU9XjMT89PI6TQgb+w7/7Ff/b//Vf/6Rjxb+07Zef3/Pv/ocviCHQh0jbLFhsW/aHE2kILJcLDscjY13fCCOkWpfGrgnDUBaayOrZgXOGEAaaujzTQdIanKVoBCsp2YUDNjtZeAeHK5YHfZBEAFxNiOJ1Z7BlMSpg7XR8Ig49IRlev3ng99//PYce/svff8fvv/0B3JLsrBh6juxDwtliGGwNiUn3N3/OdMKd+8WpTlPL1Ar8YWJp5q7+H8MGzZ/TnyojPrddlwOvy5XX4OB9ZcD37fua/VIQKwsdxxAC1kbkFChD47DWg62oK+niSymRkwDyqvUSoWUNu/1exp9hmBb3HcQ0JUU47zFWWKqU0tTI9ZGA6lo/pt9tziJe66s+6rppt+vYGS/zrvRnJZyzxKHH2sh/+Pf/M//xP/57/u//8z/xv/z7/4nz8YDlxGZzy3Z7w+vXr+m7A95aNjfrURrjnOHmZkNV3dKdzgxFDpFNxfl45HQ4jvfjx24/C0BVOc/dssZ0e/AGZwLBSMBnTIEwRE6drJy7IRRbBL3BFXyUi1Wgj0yWsYCb0hlnRSuAsSI+z1fgZVaqlW6YhCFgcsUlqJ4Lm2As2hlbzJDLzVsGBmNEZC3deuX9WTQH1uWxBbT8eIRUss88+4RU9ptIMZDTQI4B8ZjJ4w2YgiWExKKqiE3LMAiDECykKGXGqvL85je/JqU0lvG09KUlIA3WNcaM7I1zjkXTTIza0ONzYlk5chCmrLIG76uxg08fqLmXzHwVM3/4FMDBJW2sup85ONLX6H7Hyb0AFdX35Dx5M+mArGydW1AvagAAIABJREFUfsacfWsKszU33tSuNmD885ol0sGi6zp2ux0wmWoqWJvbPejqfD5J7HY7YtG96fvm8TzKus3ZsjloPBwO7Pd7cs4X7vfr9Vq0FmEQZ+uhZ0iR7sfv6Up5tG1bls0CX2oNOqkpUFUWb24uOteAfP3LT3/qMf9XuX395cuRZQFL13UYE1mvVrTtAmcd/bkrjTVlAYmRxaKpiAlCyNTWjfsgS4OMtbmA82mBkFJmGALa2GPygLGeHBM4S0ryzNRGuoqlvOeAiCFI5l44k7Ohz4Y+e05dx9P+xP5wYndO7PYH1HeKlMh55s5eNhnq3mVxtHQ9lwvMRepz7dCcRX5u4v7Q9iH26Dlm5WP28b4y4PuA1/u2+XeepzXUdU2IxeQ0G6z1xaTVlcVgTV01NG2LLywWZYwTj6pEXTXc3zXsDweO56OA1lyMp/NkVZMNpDQ1CaUsHmlTJPPz28eWQq9B1YfOibyJMSbNGls8rzOmmGynLAbXtzdbNquaL758xTff/BNffvEpOfcsVxU2Z0IY2O+fsBaqqpaUFOfo+l7SQKzDOAnkNs5inMUZw5CM5PNelWI/ZvtZACprDN5JzIrqB3KSh33oQ3EBnzRFFw+otSQnHSspTzBHwIUGa0rWgq8sxjkSMknu9nvWmw11YVbIuYg3g9hPWSs1VdsUpKPgZgJMALkcH3meOFTqvGhmlZj32RE5SWsmri4rQ0FzVoMpi44qlXgaUyh/ciYTyUmMQI0Fbww5e8iJGDIpOmK0nE979vvDWCrSiVuZnbdv346Mj072WlYTtiiQYxSAZDJ1XbGqJ5BxOp2wbctisRgF0QosFADoADkfNOfHMQdDCqgUOCgQMsaM/9aS1rwWP9dF6M+0VDbXKqSU2O/3dF3H/f39CMZylpZiDTru+p6mbsYBX8GkdirOO/Xmg6hOBNaKVcF8NT7XLOlKfM766QQDAh4Xbcuy2Exo9qCydfP4IAVNeq5CCGUggJiTaA5jeS6soes7zmd1SxYdgh6vfK9MVdXj+UopjSVfBav6ufPJzlrL13/xonpn+/rLl5LvWTQxcp+I1Qtk+qHHeQNRGN2cIiY7nLHYLM7Nxli8F1Bd+dm9nwwhaEPDxMzmHMZFizWI6WeIYgDs5HN8XYnO1CYMljwMxNLEk40lxYE+O87J8uYYeH1OPHSGN08d52CISEC8jlOCn8ozUJa1Kb8LWOYTlC5g5vfQh0DNc8/8x24fev1zJb73Hc/HgLH3/Xxe3tPPuJYIhAjDEAoRMAXMe18JoKpbqqrBO0tTNWWMqTDA6XSkaZfUdYP1nqoRyUeMkYenhwK4zQigUsxgZmXW+HElrg+BjQ+VPX9qv5OOrEQlSckHZzKVTRADtbW8uLkjh44Xn3yCyYG+O7PdLCG50RS5qWs+efkCyBz3B1yJ9yKLu7x14K2kCwwx0vUD282Wqqpk8ZA+/j77WQCqXKgZ0RVEcT2Pk1YlxYj3dQFNhjgMhGEgpoyxjoKzCmXJGM7pveixQpcIKVKVfXQhsDueymTixB/JeRHDezHzkhWeLaW9ZRkMCytBUVKlIKuDmer8IsbRQGVMQf3lJi0mmhKnk8ixR2kxg0c7dErrnwC8InQXW4byZSk6MwtE0WtJGU0GamMM+90Tp1N/EQ2jNgBSypEOkKqqpPxYxK3eV4QYsTnRVn5kjIAxq25O62oXoAIhLTVdB2XOhdbKeMClQFPByrVFwByAzUtsc/HqeNoLYFGTUs0ddM6xXC7HwGUFOvNcQmVfYgij674O3gp4FBDOB8brDqZ5KW8Mje57Hh4eOBwOGGPecR1X8be3ErQ8F40r+Nvv9xyPR1arpTjCl4HQIIxSzBnfNFISQcrpoZQsgYt7Qb8zTD5AWFMCVM8jIBaNm4DDt2/fjtcMpi5Fay2fvdz85Mr1X+P2m198UpjnYnZpDDlJ4PU+7umHvowr80kkocaewjRWOOeLBUo7Mg0yPgmbFY16HxucMzhnRQeSXBmRLN7XOO+JUWxX+k6ejRykLGRypHIie+j6gX0MRDz7/Ym3Dzse9kcO50CfHEP2GFNjjCwUTI4iQGcqq6nEYV7e0sXDPDIJLsXN8z+vt/+PvXeJlSTL1rS+/TAzdz/nxInMyEdkVj6r6t7bl24aIRAgBC0kRiCknrXECBBST2BOz5j2FAkJqQcIesJjBgNmSIgREx4DpIugW32rbz2yKiMj4jzc3cz2i8Hay2y754nMiOqq6qjq3qnQOenH3dyea//7X//6V7uN7xsPpdVed7Sp9Ye2+9D7v+99LUBrY4/GEl0UTdOE89vFcNU5g62tiLzv8M7TdT3OCfOYnWRhum5gu9lgjcM6iSnDsMU6j9p0TGHGGEvO0tamKMuNVsa3pMCrR3u9HjpPD7FSDwHRV2x9BVWsUhlrLJaMM5Ywz5Ad715v6ZgZX/yKd9+5xqcJE2s8HTZ0Q0+qZtQpRuZxqvIcW1lh0U37wWEskpXJiRgF2Aq4/H0DVKWQc0RdxEuuVSiVpcopEXOoKzVPzIl5lpuy6zbczXtCSIQYKbXlwtrQUBmLROrEST2GGQyM4xGM5fLRNVdz5Pq60G+kXD8gE6uhQB6lWs+KcFPKL0p1RHcobyVZMEna6SVwVv6SShLasuhqUtJ9pQQk9ehQ0z1T+3tJlYMY8xm7mCog5a2ZnILox8JMSjMlJ0qKhDCTcuDqckd/8WhhLWKUkusQE9vtjq0TFJ+yaLycc/imYa42JVVw1IqXFfAoCFJGStkhYGGIXtU2YnFirhYCCnqUBVFdEbAAAmWRWnCjgUiF52pCqlolDVwt6NJApmkF3XfdN9d0eVdRfLvC1vfq51pgV0pZQKVWG2rKUtviqC5MGbeLi4ulOGAaR0wRpso6K5YWYcb5jg8vP6DvV32WpjFbTZjpVu+UtsJRXdVvbm6giCdN363C/XmeySkv9hEKTLXqz1q7HIdeUwW5+j2fPH3MX/zixa8VB/4Qx48//4BVkyKxAQwpBsIsrMEw9JIic7pIEXAU54Q1gVIsIUxMk/QgzSmLeW8uGOPJeZJFYOeqnUK18aCA9eRiwIn3lHMdxhRSkrjYuYEpBGLKmCJi3JDgMAWC2xJS4puXN3z11a+4mzLFbLDO0/WWjGOtxBL7GguVgC9kw9q7nlWg3Lqwt1Wx7YR7PiG3LE7r2/Rd46EUXLsvv+54E4aqPY6TlGgja2jZOWOMOODPEZJYG7iqJLJVsmKtWzRQKRVszMsz6HyP63pSkoIn0a2aqvvMDMMGYywhzISkko52j2ul+huch5ZlO2cTX5edWoBZJQaoodrUtLGtDK81Bu8tY4rEMPPF559zfTXQ28L7Tx4DEW880zjx+SefEGLkm+ffUGrLsFJKrYCVBYDvfPVus3S1m0BOB47HA85J1sJ8z33WjrcCUIF65QSsWSndoGJFCiEkvJfUoKzWYu3fpyueRAh1xWMdrqJ2EGZJAII4jFNke8ZZ7u7v+fOf/DkffPABxsKVKXS9x1tpuowxUA5gvAg2req2EJPPnM5umlXTBeoGI2Aql9h4VVGrFXKt3vBguqo9kNSLaBOkNU7tgCMurnWFmkIkTCMhTMxBJu7jOHOcJsZZGArfn7JTKWd2u92ilTrXL+nqEWoDSsoCAnKWRsPanFgDAazs07kWQtNT+nkVkypAUUZLqe4WGIA0cQYWzZNWpikg0u9WwKBMih5Hy8S0q2FNnbVMiz7U3stDJoB91T61+i3dtp47PY/tBKHHqvumAEWF6Xod2p6L0zQRU2LTe+YwAmrqqQF3bW6s+jAFjQqCnt/e0lfPrs53pJyYppnblzeSrqsVntM4EUNc9lXPpWX10ur7/oSF0hSmHrO2AdK06acfPfmngKqOj9675nI3LOm5nAvWVpWkMUDG+9WywBQppIFCTtVKwSZinEUXmlbgIUUswkR5v5UUorKVFgqRFNeyeWsF9MQYwbgVBBspS7eugyz+djEVpgj7eWKaE7f3Iy/vD9wfM7YzxOKF9UjaKDwrpAJYWIXS6PDOdZMqKzgvpT9Poevv+vP1WY51tCzK903w7YLpdQHBd7FT35UKPAcji24zSxFVX/+/cx5yoUxTnfsKcZ6xWPyyCJXYME0z8xx5dPVIgENREF4IzFjr2W5r7AwyVyl7lWqVplt5oTceGpMfAsavYvxOznOh+k/K/bNoia1kizQh5KyhlMSPf/Ql4+GGaX/HxW5LIdGZjhhWi5eh8xAizAHCTAlB5lLfgREGX9i8HQaIXQBsjdnute4BHW8FoNJVWYwRa9YLMU9iWqYTidyAoAEp58L+9hYxs1uronKMlALSTFIujK2pQeccJTvmGJhKAmO43x8Ybl+y2Q5YB7u8hZywnWgOxMk8qVBAtALFNMLLCrKMbeXklbFSk7QEuZalFilLtVUFLxKrIt1nVmKtpgoyiSSNIomYHCkxYMKREgOH/T0xFcYwM44T4zQTYhXum7V9g/a6a1mi1nvonH3RI8hBDD11Owoocs4LW3Q8HhftVCtg1m22lXkPBSpt36L3gjJOmjbb7XbL5N7aI7SBSI0tSylL+nHVHayv68oOWACdgrPWoHMaR6ZxWt6rZpntPdtaK+g2NEV3Xg3YekLtdrsFaGr1ou6H+kd1zpxozFqxvR5bq0vTCdJ7z3vvPlk+Z4yh73px3G7SCi1z17aZASghLTqKpXHz2Upa90krM3XbP/jw8Zs+/n+w44tPntSV8DrJyHUqWLsG6qW1FHX9pqkXW7Aug4mUJIs5Z9eelwURsq/gSLWdtYDCWNHHkLHOVsuGQtevpsiiDwTnB9FNhYnDHHmxH/lmP7E/THz99XPGYyBGSyEyx0wqCd9vZH+XCsVG56pxsokreg4UmLfPvN7L5zqqc4D1kHfV943vAzctqGlTcu3f2s+/Ljt1/vn2/Q+lyvT53XRbzK5WwxXRCS9gtGRSLQwxYSaFWbrM1mbaKYSqz7xkDoFUxBJI7pfCcRwrgPc4m8EbUo4V/Mq9Y3SeOzuOdv8fArsPsVStNUTbIeOhawwrjFOgXprzBVVXnaUC/aOnH9J3HdFZTF1ohxgYw7gszDebTRWle25vb2RhGuQedUbmwMP+Dmc9zhackzZQF7uLyuSFN8KWbwWgMkDfWUpKpBzRYrgYI2EWQbVFV//i5guVQq6vWevpOltTIUlAi1FNTtXC1G/T9VSIicIMh4Lzhn7o8F4s943JOJOgeIzNZKRdSc5G0LKRMlVlpBZgZSRVVxZ6PwNJbo4cCfPIPE+Uujr1vsPgqr0CImBlQptJuBzo5wi1rDUVSYWGGIlZadJUha8Iu9Z1lTotJMoCQHTyVMah73tySqQY601TFgGe917STdW3SdG+Tgot/Q6cNNbV7UP1GNtsTkCTXlsFQxpI9UFUj6QWxCkbczgclu20YEMf2jYdmRpQAJJSfPToERcXF8zzzPPnzxe2SVkiTdc5u/o0teyUCvcV/CgIa5mrthpQg0XLgCkIOxwOS8rv/Fw4v5qc6nG1K3kFW+151nMR57BUwmo6VasY1XdMKxNV8C5MMPiuo7MO8greWtYR1slGG0Er4D0ej7x7vYLOf9LHFx8/kfNqTTNhiW7Tu8afqSQMujiozYtzIoYRYzpZDOJw1uM7iTvCZsYFfFlrajP4uDjgby/eIVNBlPoayaVFdDSROUqxg3GOOM/c70f2+yMRTy6Rm7sjd4eJbDyu6yi2o7eepD3WKEu8BgGEGMNDJNI5E9XqD7XKVbVFr2Ks3gRIve443+b3MWCvAlYPveccTLZgqt1Ou9i8vLik71bvvpLL8hznmAhacT04Ou/xTkykp+OR3W7H9fUTDBlrxFNPV+l+qttIWt0p1dgmiQ6PlKus5Nui9O8Cufq7xqDWt+78OFvpRMs2rtuBhpdas+RIYjmnSC6RwRmePv2QnCObYWBzKW3rpunIPE01dkt6MASzCNSt84tBsmhT1RE+M01HvO959uyOn45f86Mffl7Nd3/PNFTWWobeM0+pGs3JMs3WABNjwji/TOy5MlVSUll/t5KwN8ZSciQVTclUJ+eQwIH36m6uFz8zh8D+cOD29o7NZmDoPZ0zWDKdF+F5LjW9ZEz1uXIY56VCBiuBTX8uzBVgDDK/VpF9HClhL00cs6XMVX9jLHQefEcWzr7qEgokTYNSqxYr25IS1jlKTqQ4LUJkkOqgEAJX14+ZppnOebqtCBpzSsJ6GcN9ZUg0LebcqRHfeDxyrLYKpZQlBQerrknTVmowqQaarXBUJ3NljNoUmep3Wk2VBtkQAnd3d8sDqk7eXdctOim9hxSM6Hc/e/aMi4uLxcxTRd0KBFon9ZYhWhgYszJ5aj1wd3fHOI48fvx4AZDH43GZCFpWrtVUtedUtV5qjjnP87JP6u1lTPlW+xoNQG2qs6XY10bRAyGmBQQrILu8vMQay3E8Mo2iu3HWSYWtWSsUdZLXa9AyCG11YTs5aKD84pP3f8PR4fd3fPaDp8TcoWx1QXr4SY/z1nZCJhKrBSvGkEukMJNzoRSpqDMU5HZ3y32kBSjO2Zr+Ew++EALO9xQiDrmXet8R89qHU+Pi1dW19DgNd7y433PYHziUnjkaplkWk8Z0hCkTTcBXkbz4AK5LR2Hk68GfAaAWfJyzHfpctGmic7DyJmm7889832sPjVelp9q/P8Q0PZTqehWAarfVyhzCHNlupOhEMwAG1VQ6kbpUmxMtzjkcDssz/PLmRio6rWWz20KBw/0tJLlf2nZXsu9iHWCt2GB8H8D8LnYKvs3ea9xoF9Tn51jfH3NiQeP1xtLjcnVhUlJm2Ha8/94TcYw3nlLEmLrvOnrna0HSgXmeapV7zazU+CW+W6v3l3yZLDK//PJLdrsth/296KzfYLwVgMoYoCQ6b0UkOU3VeMvRY4gpk60RE88spcYxiRjJWumKTtUJOOexNpIWEbWkL2KKUutSW0AY5zDZV1pRvuMwHrm/v2fTd1gSMXikkaik5qgrO1N9lny3FZq1UFkpg1TmRFIesSaz3Ti2wWJKIEwH8vGAiRljLJYO4zwkQzKWVLII54yAvlLzyX2yWp2MrF6rR0lK3N++ZJojsWSMc/TDgPdd1VxEcoFN3wv7VaTLuAATL6vY7eZkRag6qnYCpazO2ldXV4vPUfsAtcAB1uovtVPY7/dLKmwYhoXFaVetci+capKAb1knKEukFXxt1aDuv/eeDz74YGGrFLBp8AohnNgWtN8NVeMxbJZVogYtdRE/ByutFq1NFyxi0QYYGSMrJuBE+9TqvyhZSqJrmlFLzGFl3PS79TX9rsPhwByi6A2tML9ziIR6Hr33DJXxWwPKqvlStqRl4PRe0HOt/6+BUMHoj7/4+DcTFP4Axh998TGb7VbafOYMmu6rXRNSnmvxgzDdpeSlf2kh4bsqEK62K4XaaquWwK/PCVUHk1GH7X5zgbGerne4ahRqjMHG9f4cNhfc7kfmWDiOgf0YePbijv39HS9nSRkex0iMBdf12CipRzj1iHsInjxUK9Y+53rv6e/tz1eNlkX+PlD0EDN0/vr3jVelpR56T/vzoeM5Z2LO36Pxi2K4vb9ne3HB40dSun97e7u0wyql0A+9tCmq24oxLka9OWcO04T3kYuLC46HI+M01nZbiagtv1TMa2ytQBcCozxwmOfn4aGU30NDY+F5mvb8HLTbbCsetQ+uWT6zmo4+urrio6dP+fDpB+xfPufu5huKN7z/9CNySnz11VfL/CBzny52pa2Sfo9oGF19lsT4+OJiBxSmSbJJvME981YAKtAVGshzKtS4ACCL04aINViULC0cMAZnHQHpS+WspfOevgKKUrQfmaTEssmyqrJiTSANjoX5KcVwPI7c3tzgbCGFnQA8bxcQICtJASPRdwwlU0wGMjGOlBJwJTGFI9M4iijYXJPMBkphnsURfJqD9PPynmGzw9jaMxA5CfXWEY+QnIjJrMyYk/daI47Ju90G14k2KxWgJKYpME1Sfmtdx253Sd/3VbA4LxN3qyXSAKnpNWDRZ0hF2Fr6P03Tkj5sReOqE9JttnYGq8/RyqaAAIo2JdhqgpSRbOn/4/G42DaosFuPpU0btk2DzxkWTXPp34Al7dc6Net79diurq4W4KCAqGXb2oCh7Jk8tKfgsf1dj2W32y3ncp6lYtOa7lvn63yVrivN9rsG5+lcFf+nzOE4Lk2t9Tq0ALTVrrgKwqaz6iv9br1m0yR+VsAJo/j0vatf4+n/wxvvvXPF++9e0fcD3tiFaVhTuIYQJowVPaWw7rW/XjY4V5mCIjW91jhc7d0WS/7WtZEYpBVbhW4Yamm9WmpE5lkZXYNVVtJ13O+P3N4fubk/CrCa4PYwIUbFsnAkjLjO0jtL1w3McxSfqaIiewHiGCv9usxaGdXe83q/asFHa5Kr1aYP2Sl8+3i/e5xP1vraq5in83TibyO12O5Xy8pprJR9W5uWl+trrh8/ZrvdcvPyhrvbW4lpwyC1eEWKDr55/rzOY+J0PuyuFhb8bn/P4bCn6zx3d8d6/euiacnVir8TppCtzIXtvj50rs7P0Xls02NrtXG6eGy3fXKejTQQl8/UVM9yzaSyNUxHrnY9f/zHf8STd9/hvfeeMNhCjkeuHz9iu9kwTWMt4oHLy4uTXrG5qLxDZSxh+ZswVCNf/fJWyBojGQP7+weoNG8rvftKjutJRQ0fIzEbvPNSpRQDISapkiullphKBWDXZbIRzYJOGAJa1BCv1MCVySGSHDgn6aWSApCI80TfWfp+g+t6djGgVTRd17Pd9OQykpLcoPM8EqMI2EKciXPA+8g8G47dBEkbh8I0B/aHY304jmy2u1q94ZYJrSCgIoaZkItUXnnRR1nn8E68tuYwk+K8HJt0hZdVbj90C6jUG7uteOsrcxXmgLMGNXsM87isfr3T7vWnFTvnoEMNKxWs6fs1LTgMAxcXF8BpRZl6MmmQnRsWRQOstXYBBHoMrQu6Hl+rtVLwtNDolTHbbrdcX18vJqQaYFWgrUBMAZ4eU3vM+p4WlOg2FNTp97WeXK1Q/zydp9tSzZmh1NVkXNKpOvkAi6i3rTbUFOk4jlLhVbfvvT/xuypFxa5yvbt670lBRyKkeTk3KiBWMAwriNtutwsoXQCdtXz8wWN+/quXv61g8Xsxvvzk/XqeM86vbKCafOoqWQTH0pGhlIA1GecN3l/Ls53SwopL/kMWntrwWicm5yzOaw84g+0vcF0nTcNTYhyP3N/vKSUvKeFpFifueY6MIXF3P3JzP3J3nDkcEzFm5jlwnBMhQS6GnMUMUXWki1GxMcL2l7Kk+3S06TFYmdvzxYiCJr2/zsfrslPteCh1+H3joTTlQ3//dcdDbNbyN2Qx9uLFC4lxdeF6eXWJgcUfLmVJ18cYCTEw1IKdwsrAH49HpknmpZwT9/s9IEJvTaVBOamAznF+cL++6xy0YPehtG0LGB885mWRuDL51ijRUbnOUuq+Oi4vdnz88Uf0fcezr3/F5aYXAsbAixffLOBN+8Te3t4umtwYhQWWhbQhxoT30PfSr3KaJC26Gfq6iHl9ywR4awAVUNKSphOhmK7Q5KLnmBmnIOmizuNmzzgeCCGCsZXWK7VEWJ2FNV0U8HZlR1TYnpIYiKZsxEnYdRQ2TN9knt/PvPPkHa78BWYuhHjE2Yx3jmGoItOYmGcRtkUVbZPJUah5ax37Q2Hj7skxAIZ+2FAw7I8j0zTjjxO7ObLdbJY+Tk6DU5iJ81h78Xk6bTpqEbEhhs1mwDorATIExjSTorizW2eFqreenDJdpwJGoFYZCkiJddL89qpSb/JzQNCyPaWUEyDTgp/tdss4jhyPxxM2Slkjncg1hQacVJ7phL3f7wHxodKH1TnHHKQSVFKchTmJ7gQjGqg2taCpR31tu90u39+mshYA6oQlbVu/6PHq+1ttVAvkzvVgMcYTHZjquVqPLAVH2hT5crdpdFEr09Z+XxucWsap74QVzUmeo877RRNW8lqhKdd4BbPqtt4enwY5/b72fJVSTrRsAB998OifeED1xQ/eX65Hso3uDCglnYIGU7WZRp3HzZKilnvV4q0BpwAa+k1PupfiA1MKGI+Y8sr1Ckj3iJIzqT5f06SLlcL9/sDt/R78wBQSxzHwzYsbvn7+kmN0HOfMOE61EX0hRomTerutGhzQ6kId5TtYoHNQ1T6fut12nE/Qbwqo3nScb/t1GbFf9/3fBibiBXY8Hvn6668BePedd/De8+jxNcNx4Pb2Vs5/gbla33R9j3cO3w2M80wIM3f3t0zztCwex/FIN0jBksSbdRGouiKNBeeAqN3HVo7xkI+Yfq7NgLwq/XnK7DeZDRBbIvlATXuLKP3p0w/58vPPefLuYzrnmSbRAY/HI/Mo/lFtq7QYozQ5rvs6DD3b7YbOd0zzVDW/G4zNi/7XAuM4vfH1fCsAlSiUCjFHAQKVLRGUZCkBgrGihVqqw9a0hetXZ9iUVudXY5uqr0bgllJkGiMxOkq5JCdhTfreE1PBuogPiZgjd3cv8d5xNRh6J/YL3k/iODzPzHGWXnyI3skaqbiQXlxyUTpXKFFWFl0/0PXikxGrvYP2dBNWyGAQcWCcJ8IkgKrrN6QELhlyTX0KaCg4C8Vb5ihKi83QCXArhXkWxN33vpkUV2NN4GT1oP+vVX+6gmkr+toqNn3AWmZGJ9e+7+n7fqkwUxG4pujknK/O6u32jDHLKqvrJYXrvSOkyPMXz7HOcn19LaBl058wRfodOaYFqGhq7cmTJ3Rdt5hXtqyWXofNZiPHG1OdANe2Lm2aoj32Nghp0G8DUQum9D3vvPPOSU+/Nu2Rc14aKqsAvGUa1UKiFRhrMALonNiEJNJyPlrmUNOz+hkV8+t2z1MR+r0tm1dK4e7ujvv7e6y1S7HAZx894X//v//hbzxO/D5mUCCmAAAgAElEQVSNH372oVyXyhYvsgEM8zySqkA4Z1nUSRcEjU+m+oOJLjOlTCFCkiIcjCHEI2OQhtebYcc4TwxuyzhP4nXX9biUybFWDerElwvBB+7v99I30k7sj4GM4ZfPvuHl7T3ZX3EYZ8bjpGYOxJRJCekLWBajBIqKFUxhsZUp3wYl7TOhqWWNQUuquWF49XMPpfp+E4DqoW18Hwhs3/dbSwlWqYe1hsPxyLNnz+i6jvdqq6zLq0tSlh61ChJSSmJtU9nBrnPEaIlJ2e0ae10t0EqJOcyUkk/iQikrmD1nA8/BT7u4ai1aNIafxyNdYJ6Pdnu5FIwCatWI6b1WCs474pz507/0J/zg44/YbSy9g/3tPblk5mm1S/CdxDxMYbvdcH8vmZDLy8sTDa+kpjOlSIeIEGZJwedqW1IzW6873gpAhWko6yT2A87pQyWmd9auN414u6xpIe88xjlJ5aVIjonFEyplTC7EPIsrqjXS7y6Lyj/nsvz/OEbmmXoxDMfjHcYKGNkPHYNTP6VawVDEtdxU6lsCg7BAKqhzsRC9rECnkCEc6eYoqjBrsFUPZm1Nu1mDyYmSpTw2Nr31DCIgzClinYBI13X4rmOcA+M8VddX6qrVMAw901xObvC2+iLnXFtGQEmSGjVVE1GqmLYVdGsg1N+1LYqyStrDTh8q3ffLy8sFkIjw7wJrLb/85S+5ubmpDIyYRZgsItpu8GC3HEbJ/ScEXFw9uuLi4mJhec4fcg3KpkCOK+hQgbymJxW0qHbpnJnBQwpxASTnvRDPrQwUYOl7Wx1YC750X1WHde7Js7i/j4clYLYpkfY6thOQ/g3gcntJSnkBTi1zeL4NHa2JaZtOOte06N92ux1Pnjzh4uJiuY+cc/zws3/aJPmPPn8qejuzMphyznUiLiy9+2qfTvlXiEGq+lbvMalGpkoVpOtBYOg3DMOGmKRPX8YQs6HEws4W+s4xz4Fiqh1KkfT4dHvLixcvuD+MzMVzdxjptjte3t5TjOcQMlPIxFzjQpEGzTllfLfe8xgDavdSVobhdVb1ukg5tx5phefnDCz89rRN7X593/hNArqTZ5da+ZyTZBecNPL9+uuvcc7x5J13Ft3qeBy5urrCWcvt7e3Can/49IJNZZ9jkkxFobDdbZijNqSONbNSWUZroEBMq+nyOUP1KjDVMq0ao9r3nmumHlpw6msn4vVynmqTxf3Qdfzpn/4lpmmEVDikiRTGet9JVmiaZqxdK9dlAb924FAiRrWxrulvGWMglIJBnjHvPW+Ap94SQAVgqyANZRpUmCZ/Nsaw22yYU+R4jBgK3hq2Q4fzshqfU5JGxaVgqH39qli94JqbJVfNEVVPJW/MpfYQNPVrTcbaQk6BME70Rqqh1M6g825t6lyp+a6r/eBs9RICsoo2jdg65GLJFFyxhJQp01yDSSKaIB3cszihp3qTL3YFRdr05Cxu3gXYH48UY+m7Hu86Yl4nQd91bAYNgvVUV+2GnI9a1Vck9UdtjSN2+yKITTVdqRNw637eTuotINH/b8GWPkAxBu739+z3YmHgOkdIMyWu1X0hQriTVJ6ttG1bOXhzc8NU/Uba4NsGAmcl5aZpQq3Y023AqfWDrm5evny52Bq02ix9EIETZkhF7spAnVf9KQA5T53p97YBuvXRKrlfWItXgag22LX/5hAwiDN720C5PY8axJR9UzDY7svJd9TXE7UpeZI0vYa+uRYrfPL0nTd//v+AxvXVjg/fuxYrlCL3u9jBgAYlCfDSYkPuJYSZJpOTp/MdzlrReUoEqdKGavli4fLyETkXYhoxhlrlZ7HO0TlHDpEcAlhHjob7+4lpnhnDxLMXN8whcIyW4xRI+yPHcSYZz/4wYqrLcMprHDaLTU2pq3Zp4i4+gN9O7zyUMoJTzY2m0Y1Z9Zdtif35YuG3DaheZ/yjgrz2/ae/SwuUUmN313fSrSKJJcDV1dWyoNOFYz8MbLZbwjQzbDb86Mc/5s/+7M84HO/ZXV4y30wYIy2v7r7+WuJ5VuBSau2AvCZzzeuBqYfe0zKKD52T87+dMJGlUNoCGX1fKcu/w+HAn/zoc3745Rf87Cd/nzAYbp59zZN3r8QWoUpdxlGq+8YRLi4uSSku7bNW2YpdCpqkO0WkMx2bzcDxcCAlNb1uF0HfP94aQFVy7dfTrJjlkc3EkkklEqZpqXCzZIbOV7rcMFXkLROPXgNpFmwQBilUAbk0vU0VNFVRZSk4Q+1lJ33yvIftsKGUzDxPHNPa7y2lzNB7+kH8i0zJpGKIJeJCxjnLMHQUYynFchjvudhdcFEb2pqCMFk5EVPgcBiJ3sFGtE7GSN7YexEmnjzEdaUqqU24urykFEvKhZAz4zRzP83MIdLHwrDZkYEQQ+1er6X+dWVhgSRmgnJK1ttCv4OGIdHXlX0qpbDf78k5V9+nXnQhTtKrYZxru5wKRoowVTFF+qFvKOd1paJVZPf399zt9zx+/JjLy0tCCFxeXrLdbhcrhizqxQV0aEUigCn2REi+3W7ZbE61SS2YaA04jTFLLl5fVwZOV9MKgFST1DJ5Osm0KVLVT7XaBTm9pxNRzpnOd2hlK6yp2bZ6UgFWu0rUSlhTzAnrpMUDLUUPK6hrUy6lVP1NBU3tvoutQ1mqcFvD02ma+PDdyzd9/P+gxpefvCepA+Pwi99dlPRfAetqixHE7wvWa770MfMywea8Tp7OeIFW1uCtLFLu7/fia1U7OhikGOcwjsuicZpHvnnxgrv7PVOM3B8nbvaBOWfuxpEXL28IIbE/HpmiZc49fS9izVzTS1ZTffW6l7rP5CKOMqXKFc7u4zYdra/p31t2tJUT6D3Y2nXoZ+G3z1K96XgdVkvHOShsP7uktprn8fLyEouwwnd3d6TtljkEkZfUFlFqe2Kc5f/9//4fILO7uKAUYZqHYagVpqLtldgMznV1rlE5wberK8+Ps2Ww2uM5ZybP06Lt38+Pf2Fwi8N7yTSZE4JKPvfek3f5a//6v8Y4HkU7TKDrnPScdZK6Ez6lLLGu7wfu7u4Y+i0XFxdcXEhs0mIf6W/pcV1ZjMHrnYpZOg/8vqX8MBTTkUpFz6bDdZZsE3lOlT1J0kx0mTgNfT+QRG7EMU/EuhrTber7JCjIpJtSJEURcjpdExaBbtZYNn0PRlyIRUS9XZB8nDqRCJSCy9WDx0tDYWel9UPJor3CWkIylAB0HZiOMUTKQW6G7TDgrSWlmZIix2mi0NHnHl/MogHru45hs6mrlgxWmmUaDM5YnHX0w46QC2mcKKVaEQxbuq66DusKJMcmOOUTJqVlTlQsvtK2kRDzAjyuri7lPFDkAaUwbNcWLrFWaepKailZzes2YE0fKQixtZrJWcvQDzhrudju+PTzLSVnrHM8f/aM/d0d5Mw8jlV/h9hNmFXzo5oRZ/xyPF3tYff8+fNFm7RSwivzdnV1taQthf2U83JeVdgyR61eoAU9OjHo6+fBRwHVUo3aMljWnOi12tFaRZyvDvX6xpAXZk7p+fY7lBVQMBRCWJg6YwxkEchuLy9PrpUCyL7vFxDVpiZ/+NmHv8ng8Hs3fvjph8sqGwQYeV+va8q1Yk8XkOJkXUqqPnau6kPtUjQj8k+3LBJzttjOcHtzR4jCMF4/ekwm03nPOAeOQWOB5/aw58XdLcdp5v4wchhn7o8jCcM3L2/56utvKMZiuh6wuNQUPxT5dmMXTxthp3SSqX9XNdXah+0UVLXjfPLV+zIlcfFvK0zVLFjvv/ZZ+kMY7XGkXPDe4KyYL+vzOPQ9Y2N9UupzhklL1aiC0BcvXkiVsLWM07joWGMKOO84HPdk8qJ31DTdQ+k7/Xk+N7RMU/vvXALxfcfdxs4QRcekVf0Gw9D15CTdUvrO88/91X+WLz7/jLubG2z16XvvyRPCfMSawhTmGps2ol3WnqXTtLRs0p6qd3d3S8r58vKSWPZYCzFK2t2YUtuCvRlg/l5AZYz5L4F/B/hVKeWv1NfeBf474Avgz4G/UUp5YeQq/GfAvw0cgH+/lPJ/fP9uGIztoISaZrNYm7FZ0bywJylGQhXkQts0VkSRpdLTBTDW1ZJkWVWXXOg7z5QkXahprRipwa5uz8sDOww9/eAW52HfXRI2ovMRDxBpUGyd9PTrOk9KM2DY9Bc4J5YGOQcylq4Xg8aMUPMhREHVpYCxUqJsInMX8bVax1uPdR2musWnkLBOUofOysTnfI+1DluF8DFECoau73G5LLl0Fei3wayd8PUGP1l9YLA4sNBfekKUVFHMsspx3p58Hk4rzc5z5TlnwhwqmKuu7Egj0FI9vbz3GGfpuw5fH9Cu68QJGLisk7sG3ba6sN6bC+hJKVHs2gcvpbQ4kWuaToFWG1AUXBhj6Hx3ErDOj0vTeco2teeiZdxaQXebXmw/q/u/nrO1CfPCDpwzUc13tBoEa92JEepScdboyRT0aRoQOHn9HATrvut3KosYav+wBYQ6y4fvPeKXz26//9H/HYzfTQxbx48+/UCuAbUDApJiMABVy1FYWcJSLMZoGtAszvVyf7CYf5YCOSVygRilSthWuYOkOEYuH13ie8Pd7S13+wPz8chf/OxnfPPiJd3mgpu7A7f7Ay9ubsjG883LW8Yp4PuBnBLGdDin350xVopYQkkLQFzW8KWAkXRgoTa1fQO9Sbso0Qm5nWSX72h+fhc4e1sZrHNW6iHgAmBt9aujkEpeGHr/+PFSLDLPM65uL6VqG1Sf6XercF26ORwXn6m7u1tiSoQg9jrrYlnbbj3sYq6jnS/OBecty3gOvs7B1XnBwek5WK+7t+K5Nk1HiBHvDE/ff8Jf+1f/FZ48fsQ3z75i8IXhakvfd1xdbjgebridJi4vL+mrk3/X9YQQGfqBDz74gFJaqQaAxfuefuiYj7dMsxSOYQrWQZ6DpLvfYLwOQ/VfAf858Heb1/4W8D+XUv62MeZv1f//T4B/C/ij+u9fBv6L+vM7hzGmMgGZbKMgRKjCbUT8Xe0UxA5BAIZqOIz1i4gvpygVllYCkyuW5C0pidN2DJkYa6rC9fS9dngXF3VJE2Y224FhqJOpA++HWm1Wb5BiGbBoztkpRV8S2FSF9iJ6NyS8k87WlEJMGUOgZHExNsbhvUx+IWamIKJ65x2pWMYpEmdhsnzpcLZgMbV9hVt0DDllwhRIuVCsIafMcRKn1+3F9qTKa3HWNhZykea5gCmOMsM8C7ixpoOSCVEq7lJKSzsX3Va7ytHAKJOCreJAKemNLkqVUQg4WzVfZ87b5w9vSqmyYGujTX34r66uFmDUgpwWIBrMibWDBoHNZsN2uz0RqSu4OgFEtQpLK+vaoKD7u1DWZ8G9PZa2T5mmDY0xC5BpQeECfHMhxHAyweh7RfsUpDjB1uufixQ6GBFZljifCEz1uDUIqpZKWSc1F53nmfv7e2JNE6pTvH5WdVeaTpTPic/L4XDgeBz5+P23B1DxO4hh7Vja7xjRZQq7lCuvXEeR1llYV1M9hmINSUnGeu/RTF5SOSxFIynWhsgFNtXR3zlH1w+kXHDDhnC35+tvXvCTn/2Cb17c8ujxOxzHma+f33B3OJCL4XCYycVRan9AZ6o7O99eEMDKqBZUR6Vvr89MfpideFW6p52YnXNLir39/vbZflUa6W0FUw+NdrHSMufOW+ZZFnJ9L27ox+ORYRi43F2sLHZlCzWmaDHIPE+1evOWOQaePn1aU1+jyC/GJItYZyklSc/bBSTlb+3nQ9dBxznbfn4dzrfx0N9aHWdJFt9XFtSKTRA5k1Nks9nyL/2L/wI/+vILri46OjOT4xFKIMTIxcUV4/GekkKti2UxYT4ex4VRl9h0BAwhxEWYHtKRKYhFQorSeNk5h3UWjFTpvu74XkBVSvlfjTFfnL3814F/o/7+XwP/CxKM/jrwd4ucuf/NGPPYGPNRKeUX3/UdMpl5mbyCIS80mzTeVNotxZnLyytR8o+BMFeWwUv6ru87TJQSX+OsUOrG0HmHoRfAYJDt2tpI2HVInlSU6CkHKAIESk4Y67A4TEEqDxVV26pYKLbqSQpRWNh6UcU2Qdj9XI9FRJ05JWIpWMDbVcReciJlmEPEeU9fDLGyTGlO+FoNlLM0SC65topJhRCTsBJdT8xZTP36nu0cpMN4ZdGsMcRoMV1H58U9fRwnHB7Xd5jBLcBjnkOtHknMeV5oYmttBWB1dVrK4uSu5a4tuNGHBla2CNYeT61momWXlvebtYJEg1AIgRcvXqzgibpKriCxACVJ8YFqqlojQQU5ykZp6k+PbwkSpdTKSTHcU+aqTY2dr8bOV9x6vPrZ+lwtxwyrlUHLYlHKIjQu1ZsoJrnOysz1FVDH+nkFaJvNhhIkOLSsk7p163vaqsX7+/ul+fQ8z8LwAtfX1yfu+abeS5tNj6SmogRta6U6s9vx5acf8H/+2U+/L7z8TsbvIobp2G16nr73qK50jYCp2seTLPeC904SZPqsqHFM0apbKRYRRjGSslaqOqzrsKXgq61M10l/t3GcuLp6RChwnAOHaWI/juynmTFmbvdHXh7m2mZmZgqJWCAbj/VQaFmx00qvV4GWkwkWYdRzbQb/KsbjfFLW1/S79f5U/6CWyThnQ/Tnm6Rk/nGPNi6cxggoOeKdLuSqL2IpjMdjZW1WxljTrwDFiNXC119/zfX1NbvdjvHli+WZfvnyOX7ohZDoOoxhub9eBYTacc4ytTGvLTA4z0g8tM32uq3vqzrTperV4jtwfcecAiVH/so/88f85M//PiUe+eLzj9nPgZIDF9st+7t7HJnddkMMEyVHKIHc91gDfWcqa1f1tpiFeZK4fiAVAacxhMVBwDkR17zJ7fXraqg+bALMV4CKJn4A/EXzvp/W174VjIwxfxP4mwCffvSutEKIVQKVgAocyGcXKUaKFxCzBhoxmJP0XI/X3ldFqFNR6neEmPBeKvHELmHGVzFyStp6pas3h1B/K/sAzmWst5UdKlU6IHSlgCq39OkuBazAKkqGkqRiLpdqgFgpR2p6xmrT4hQIKeNTrg7phZikf5+nVEBWSKlgYsIiFT9d57E1XUZIJFM4hiRd4rcX2PmOHGt7GiQlKoaMok2KKrgvkeM06jWS6guK7H8WDUgIEV9Tjn7jTqrGWqCggOq8B1cbGFUsDZLaKMgqISfxiNoMA7f3dxRgt5VGn84JcExN9Vz7cLe2BfLgrCspBWttGk4fHqXU9dgBSs7M02p2qa1bdL/b722r8NT6oAVRug/63TFK9UleKmwkFe39yrBtto8Aahshz6brF78og4j+Y4g4Yxm6nq52EthsNoR5Fibk7HzrdVC2wVq76Nz0tZzlGhjE0mRNAxpK8cuEGYL0VFRXYhX5/+DD6/NH/m0bv9EYpuPLT99Hqt/k2dZ0hk6amo5d9FElYWyu3jfIMwrkLM9NDAkWPR7kMgKGnBA9pZOFQDaiMz3MM/tx5Kc//wW/+OXXHMbAnA1jgpu7W1IxYDtStsSUKa6jFLFFEGj37TTNd02Q9Tw8yAyds8bn2zh/HhTca+r8XIPYfq79fPva2zxaEKVxS6saT8GiPH/FSubCecdxGrGmah6TmPNas2o1Y/Xs021vNhuOxyObzYbHjx8zp8g0TXSdO2HW5Rq93r4/xJTrNT7XY33XddFzsMwRxpGidBtx1tB7Sw4TOQR2g+dHX37G++8+5mc//Qe8c73j+bNfksKB9969xpC5uf2Gq00n3VDq/WKtrUbh8i/bO7puQ4mSoQLH5eUj3nn8Lj/9xd/DmjrvJ2WkJBaXxGudHx3/yKL0UkoxIod/08/9HeDvAPzzf/nzQpEUn7IBcrFyTZkJo+Sc5XA44v1KQVtjlpvCYXCdpbM1SKQofaUyq8Nw12Ow4rBe6whLScDqISQieFNp0AIlCyiqnbCFzDKywiyNMM9V4jtLSjCXgq0CcwFUcSkHtUYYLimHltdCjJRcqoZBWCfnFHtJ5Zas/wpTHMFnulIoGXw3kIMwDXPVmqVcS58p9ELfYJ0YMForuqSQAs55piD6r67r2QwDvjbpPY5HSgFXRNek1WwKFlrtjo5z4WibRstJ2ibIZCKaC+dPNVjWGEyd2MfjiFmqmESw7ipgiebbGibgZAVIkdZE7UOs7z0HgVoN2B5LztKOpe97rq6uMGY12AQ4HA4n21uOoQYLDXJqJif3toDSEAJfffVzuq7j+vp6Ke2V7UgrhuPxgK2+Z74T64mSMoe7++W8OmvZVlsNaTcxLayhMoZt5ZAA58w0if6JygLr/d/VVaxzlpIzNzc3AIuIvwXNypTJ9ZOij5wTnzx9/KYh4R/b+E3EMP38jz77QFiAIqlXaxzG1DISr+niQk5SDJNywhQBVJJeDjUeQYiJGOuirkApRlbZ1TjTu76KxuU+/eVXv2AettzeH/kHP/mHvLjdM4XM89s75mIw3YZ5lAVDyuJZ5axbGO/Oi3blVWax7eKhHvPJz1cxEi3gWuJA8+ytDtbDAqhelUo63873gb23bej5bBd/MjfZk3NDWRl8aY/i6/1SvQLtWgyVYsAZyzvvvLOYBHddx/F4IMbAHEItcFlZyJxlzjtPoerP8/N+btnSXptzYLsuyvKD13AlKVS3Wxk5Y+idp7OWw/0dnTN89snn/NW//JeI054fff4Dug5+8fOfYEvk/v4Fj64uSWEm9V1dPOsCWjWvhRAS3bajlCiEhsm4zjOGZ/zq+Q2MhW7Tg4PsZY6UayRNzM0ZoP+u8esCql8qDW6M+Qj4VX39Z8Cnzfs+qa9959CHqtScnMFAFtq7FMmJulr9NR5G5rm2zKg6nJQbhG/Fhr8YwzwHpnkiT4EcZ1IuYLrlxiqlarSMADZrheUqWUCL3PP1JsNAhpyipEKWakIBgc5Is+VsKliIdVK0q5anlBljCt64RViox18oi5O49Z4oy0Y6K74yyRhCpYSNyaQidhFSvZdJQEyZGKUa8jjPhAipSKf43dUFMUj/w3IMWJuJGYzrKMbQ9QPOeRHqJ2ljk7OkzLreY620plH38sXnqlahtXYBxohDdGxAkx7nIogsZdEmna+GVavUpgznarLWuq2rh4iCBqHK6/mv26YIMIHTSrnztIapNK9+54nI28t3DcOwMG7KdLWpxGmamKdRCgC8gOYPPvuErrI2yuTJatzQdZ4nT368upOrsB7x3nLOUVJZwFc7ufkzgbieezVN9d5VZi0sx5VSXJ3si6yCnTNsho34StXzV2IFvXltbK3HCDqpCjA0BvpeKxFV8O744advvbnnbzSG6fjx5x/jfU+196GcuYYDDWtqJSVY41xKgRDWdhcpl1pdK+1fchHLl5hKffYGqT6uwuLjODIPma+/ec7Pf/mMwxQJyfD89oAxfmGscxF2ap4zG2fIxYgDOmu11/mz8VB13fnE+9BEq6Nlq9o0XrvtnPPSDqrdTvv537fRgkll4dpzuRTcnB1brkVPIawxUSUK0vR6ZYmxjpglzWuMVIanGMBIhsF3XuaKtOpn9VmtofiNj+n8Z3uvPPS+NjWo50LfP0+By+0Fne0wJeKM4fGjCz548i5/9S//CV989hEpHIhTx3wYsSWSa4u1nAceP74mRyE+UhattcZYjYm2E5sb6RUsc4/zjhQig9uQJvGC29kLKIkSMrZIFupN7rpfF1D9j8C/B/zt+vN/aF7/j40x/y0i5Lwpr6M9KKIrEuGm6I6sFS1SioF5DjW3CdvNwDjlRazra5Wb+kr1tczUeqkALEh1A2RSlL5/3nt874VtKiJGV1remkKuNgmW1f9H/tW2AMZhrZcWVlUc7q0TdJYLySRCTpjqrWWM6rNGtLrQVtFbsQJ6QpZUpuk68I6gK7cYcfV3YeoqO+Cc6LuqlkL2RCllSeEMG083bMB6xsORMMtEOoX5RBApVYHieRRCIKaA9nVKMXI8HsDARTW6HIaBeZo5HPYcD2u6R81CY4hMS19GCSKtEFvTZS31DGIWaa0YRkpF4Mw0z+SUePf992oKJFZGVh4K7SSuwabVX3U19VXMadA/r7hThklThQI+mpRg1S8okCpZHr7OO5ytrFNO4AubbnPi/VRKXvoHKjNprF2Y1TjPpBBOWvAo+zcej1Bk4m0nHR3jOAKFfugp5FpCL331vPP0fUff+Uqyyv3ojVSctsyBLmi0olB6OspqT4CUhhQFnmtlpV7P8wnw04/fenPP32wMq+OHn/6AnLtq48FiWEjOGBqfnwWoGOZZyt/n8cg0Hpf0XikQUiKESEwZ0VlJK5pcuzwYA+M0EUJkjIX9PvHs2XMOx5lfffOSKRbGmMmmYwoZ63vpyWcM/VCLWpCJJ833xLJqqGAFPC1I0mt+DgLaZ6v97PcNvQd10QLC/Oa8GvCeb6sFc79Poz2vyvaeAs/lN2EvaxsvaR8TludPmXKVIkzTxPF4WBajIUaKtQy7C8bxIHpXI8UMqVrdnKZhXw82vIoxPP+7/u1VDGL7/xe7C6mU955wnLjYXfDFJx/z8dP3+OiD93j/yTXeJEqaePn8ax5db0WWTIIcsGyqy7uB2uw7ZfGo2my27HZbus4x2XmJddpE3NsOWzx5CsQYBIR5g8kZW7sY5DM94HeN17FN+G8Q8eZ7xpifAv8pEoT+e2PMfwj8BPgb9e3/E1Ju/PeQkuP/4LX3BESrk+VgO++JPjFNQfrehVhpSpmMdpstGOkWLS7cPSFpebf8y51nk/uqUREBe4hRhLpNabJ1zYWv/1krinLN8S6W9Rmc7eicr1RlwRaLMR5na86vRIqvrIuRbcoEvMNUEzysAS8+VsDS9qWe85PABbXUtnfYzuMabyIFBXHRG8ikXXJmmo/sD0cwVjQXpQ2Glt1uy3YrFUIvb15ye3uLsYbtdsN2K4amh+OecRwZ+p4UBLSIjkqKAkAOeTweGcdxqZhTgCOh2Q0AACAASURBVKD0736/X173tQqwrwJwgJuXLylmTcs5a+l2u6Va4zCOC7OVYhS2rZq3KXuiVWwqGFcW6zjN6z3WrLgVSJ2vnkspOCvlu6VkrAFnM5vOEUIW/doSKLJo4Dq/MJ8tKJuDOIm7tvnyWZpUKxc1zR1r7l/AqKfvNlgrbGRMURYfFHbbHZdXl5RciDEwjhMGw/XVI/q+l/NzOJ5oHzQ1p/HMe1f/P2OtuHqn1PYebAT6tGxyWfa7dbbWc9s5w3vvXPLsxf2bhIDfyvhdxbDOOz77+EmdsDzOdvW6uYXJ29/dktOMswV5NMqyYJzHe6bpUBnEWomZtBqrYJyHov1KKzudElIYkDhmz80cGcdIyoZpjswJiu2ZY6YYX9ktqNoDpI8DpBgwhiVVAqfPykPMko5zMH3+93ZbD/1Nv6N9btpnEjh5VlvQ9jaN70o/tuxde0zrAkkByun5Ua3l/f093neL3cr55zWboynl1sZlnCSLEhZfwGHRbNY9f6PjfIiFPMm2lFND1+9KBQOM85HtIDY5fjvw6Q+estv0XF9tcSZBCmQCP/v5X/DoeoczhZADw9Bxe/uCzr9Liusi2VqJhymKHCbFXOdF0ZkmVwvGnMMmS0YWvjlLT02HaHlzSYt+9HXH61T5/buv+NO/+cB7C/Afvfa36+eo3dYxzKq0t6LZiYOg8Jwy4yRtUFJyNf3igEDvO1zn2VjDPIvVvqR6OEnTTNPIHNb0EmZlRaT0XEuD1TumMj5WLQAsJRZMMTXgZZxUPmO7hOsK3hl8CozjjDWipYgxUYpZBNf6/Trpw3pDtqxJS48CQs0bg/UdzntZwYZYNVZSKZmVWUqJ4/EoHjNdT+cHum5L3/XkIn5Q3zy/IcavBWDZwma74fLyks1mqH5cmcuriyUdlcNq6qjnVE0jh2Hg4uJC3qfBkJXa3VWgo8euQVonY/WXeigQhxAY+h4qRd7+DTjxkdLzpXYKfd+zu7jEnKfxlC2qgEk1LG65/lXDkEWVWLAcpnFl9cqqIVuZHbeADAVP0v7mlPXSYCYVcT1d5+v+Tsu9sKY95V+YZ3IuOCvms7pyv3nxUpru1tVne87G8SiAXts4VSClVh+UwjB01YJE3M+dbSwnjCHM87eKhlumb0kPsU4UuTLNnzx9/FYAqt9FDAP48tMPiCmIPiplTGewxov+s8aPznumOBHDRGcsjsh8/w1ziIR5ZIpaSWqhGKbKQkhLqIjUBhus9WAyKYUFHI+z5e5u5HicOB4nYgLXbyjFUqI0QM61lkb/lcX0OC9azpYNap9VbXr+EIB6KCV3nhI6TxG2n9XUefueV4mg289/Fwvyj2uc77O+1jJCGi/ahZWm4OQ9Oomvz5nGFwFPia7rF5aqjctw2hLs/LvlJ6xz3Hefu/Pr2o7zxaiOlkn/rlGQJsTGGnKJbDceawqbwctc6iBMRzpX2Aw9KU7s7xP9IIvX7XYHaWCKewyw3Q54f8E8D5Xh7CqREvBeLGb8YiDtCGOslctifSQZJNFWi75a9vJ1x1vhlG5OfhejTE2XeGe52O3wvoPbvUwsSXwkvJfJtFSR3dAN+N0OKtXuravpnsyw6RimXhgmNVEE0WwtN8ypySXo707YI2vxVWCaKWLq6cRvyrqCdVIxV4rH+3oxigiqqYCqmNMGui2oaFdezq0sVKlVi2SDKYmu29AP4vhaKGsrECOMwtBbinVsdhc432FdB1jmSQCnLZZH17uqSRqljYGVmymlSIyBnK3c6JXRMIYljZVSFeeX1S5ht9ksD/6JP1N90LTnnh5nK+Buy6MXl+469Jx0fY9ryv9hFVGfWx8o2FtXalpgkKAIeEgpEvPqLzUMgzBAORPCWinSah5UsN4GrXbS0KByrhcoxSxAxpiyMFma4jvsDxjDkqbTQDuOI+NxxPt+EbormJMKTWlyKoFCALAsMnLVuh3EVgGVaq5D922sDZrPJ7j2GMzJMyGraMm6ZowVPVe7itPPf/rRY/6vt8Q64XcxfvTZh7hq/Au1w0AW3ZyrbUKMrUxgKkzTSE4z4+GWaRoZDwbrLFN2hJywXqrxQkh0FqZphlr5NdT4ENMsLLlzHGbP8TDy8uaOFy/vGKfA4LfMIWptDuhCQqOYtsTh1Zonvc8XD6py2hamBTmvAjrn/9pxzoKdszgtK/W6DNnverwKdDwEMnXBJSn7hz5zZhGh907dVruI00Ia6SPbrUwL69yhlYQPXYPvYg3P//+h97ZZFB2v+o6HhutcnesycwxcbcVY9upqx+Vuw3bTY40Ual1dbhHjb+3kYZlnianWeSziyTZUk+FpkgWldT3TdCTXwFXUOaAYwizXQOZvUxcVct5kPgxvdG+9FYBKhzw4ksIbx7FS5yzisr4XrY4xhZASc0rsLi5IORFCFdBuN/Xil9pfb9XBDMMguVej/aIUwGRxjspibWCsgCbrrNDs1XwvF+lCTZFUH0gbibrYpxRZAS5MSjFiS2ClVC+XQg5pAVOlFMZxYp5FA6G6BG2L0gYta0XAejjM9MOWEBNd3y2TWYiRmMTk1HceXwpznBj3M9MUGKeJ/X3m/v6OqTItFxcXXF1d0PWOlGK9SVnyyLpqdK5WLNXCAFNqoYCRajxjzMJUna/IdFWlD7+O1l6grYA7B5b6nlSZL7U2UM+mruvYDD1D7yutC6VEybnXskhxoraYIoyietjpJKHNmxd39XLq/q7BQZ3HW+fw9hppkNPrqO/xFQSlakNQ7Kkw3yCWEc7apaGuNVaCQy9M7N3dXX0GVosHaZHQQ62uk30LHA55OU9Ft2utaLdeQV8/VL0DAqZco6NawFb5dvq0BZTGmH/imiT/6LMPpVigd4AlzpEwz4QQxcduScdHcknEODOP99wd9oQ5M02ebDPZGObiiNkylg3Pj5nnL2+YD0c23vDeox1PHxs2vjBNcy2O6Li5MxwPE8+ePWccZwpO9CRYbHVoN1YrjCVo5RIwJVOMa1iR9dq298P5vaP6yHMh+0PPTvv7q9KDbeXXeo+f/q19/9sApF41vguwtJkHnav09dWZuxYtmFXDFmtaFkydH7VRewR0sRtPnkXrzOLbp2DrHLSe7/erAFDbHqtd+LZx/bvA00PDOEMxhWme2DjDdjfw6NEFT9695p3rKy62PbuLgc4ZNoMnlUDOEWNhSoGMZ/AdJdfnyzrG45GpWjA46xg2PSVLhX2ucVrPv7VUyyRJ9xn1jMNI9bl1i+P864y3BlBl7WJeMvMsq6bOezEsnCaOh5GUcu0Q7TgcJo7TWNkLSQPNMRLv9/jO0/VewE5eJ4De95QBpABPuG8BJI6YMrkkchRNlbXUhPY6eciOJsiiPfCmYLIhWxGZpqTflfGuo+87QthjravVB6VePHlYYqwsxDie0MBl+Q9SFuRurMU46UR+d3+PoXB5ecnV1QXed1jrl6qzWKR8/h/85CekDD//+c85HEacu6jpx0jX9ez3Ww6HHdvdls47drutsCfO4a2nc76enwoOEA+u89Lpllo+X8m0wKLv+xPA1DJV2uTYnk36OYvwnLpqKznjXaE4ARGD9wxddbjPhdQE2PMJ4FzUqq9pGlHBlb6vBVhtGrZdrWuZd6shai0Kuq4jzKe9DY0xVf8XF3YuVV2UHcUhv62oi2GtJtR0pgLKvutW5ilXAWWqegLWyUm9ttaSdEkDakVMey2FfawT1pIy/LaBqY71/+Vz+p1ffPLe6z7+fxDjh5+8R8oBY7KIXY2YdDorADlXVlQbok/TxOEwcjjOOP8It9kyHY+MMXGMkft55OVx5NndPbeHkTlCzAX/PHL9yPL48ooehw0THTPHOXHc77m/O+C3O4ztGGPBDZ4UNaUHpvYcNSVgkTZSuZkKXpWW03HOXGlVrA59fSnqqPftudlnu+3WyPehFNWrxtsGqNo4eP76Kz7xAMMnWQFr1zZV6kCvBQsaN8THbo2hUBb7lXmepUJ8yYB8f5Pp72Pa2gyOXOOCoas9HNcYaMwp8H3VGOOEIUGMPH3yAR9/9BE/+Pgjrh8/Yrfb0PeOzbCBHAjZkrIhF0vnnBgXd9vFQ2/Td/Rdx+EQsEbS68YU4jwxjaOw/9aQdXGfE85bYpwJca5ZmHpfW5WT+N8/hkrSBxKQ1XvHGcvQ9zibGO0s5dyIVkPypAPm3hBzZtfv6PqO/WHP/nAgpUCMojFKWTxfTO7wOIqXE5lSqmJe8aXQc6bVV1oanlJEK5+NUUuHenPlgkmZpKsotQkA6C2Prq548eIlXVfp+ialqIxXAfFcqtqnYScPA9ZSDIQUGau3SM6ZXe+5OxyJKeN8RwiRi4st3nccj0euu4FpnDgej3z181/w8uYW3/dcXl6w+//Je7MfW7LsvO+3hxjOOZl5b95bdWvqZjebbE6GBNt6tSHb8ItpGIJgG/CD/xIBetF/YsD/gPxEWhQggLQoWRJgCRbJJkh2dY237pDTGSJij35Ye8eJPJW3u6rZTVezN5B3yDPFiYi991rf+r5vrR7Rr9ZCOu872q4VryIylFKUbLz6nkw+p6I40fezxWW2U4OmOpaPLVELOC6gS8NPay3r9bqcaKmty+J0hK4NlePWYBR4fwxsfOHdnR7DkX/Q3DeTKwv2TNwcx/nf9RiXZciu69jtdih15DdVpGzpT1UzQ+HsiQT+sB9mnoMQ5e2MGPV9R6bysVKRrh9hfyHxCxdLjDwjKme6QlA9TqDayoR7AezR9fc+iiT7V55fJ/d2OW+52E8k2YTzSYa23EznBTjnehvNz/nOu09+8uT/WzR+/TvP8G7ExUTTCLKodaKxFMsRRQgZFwLDMDIcDozDSFaWpC8YJsX1bsft/sDeTdwNI9vJFbuDVrh9WgyEpzFyHfbE0hw5JYjpINYczYqERSkNKhKLiERbU6gHkZw9KkpApeZ+g/cRKbg/D+DNm3AN2OtzT9Hq5XvV3y/LWHV9WAZUSySnvv6bPn4SQnP6Hb6MspXJjJTwc9b3mkIfffeO69zSusYYzbqosaXPZpytUo4m2G++lg8d70MJ8nyvpGMAWIGCum8czYr1vftoPgYFKXkUsO4bvvur3+HXvv+rvP/uO6gwicdalvVs8hEfIj7K4tjbDovmrH8EGWL0Uq1Y9aAy0XuUytzd3hCDo21MsZLQdG1Ds14RolAmQjwq/HStRhWDz0r2/6rjGxFQyVBY06A7MZgjR+lXlRSbfoVGM06uTNqRMd7x1ltnDGMgpju8t2xWHefnT3Au4nws3IGCAKRAKJZIfd/PtWdfzDBRas4IYpZsajiI8WEklzJcL9mWr1CrcEiUFGbJdcNXkM80m/PHtNd3aC19/wDQEiQdtndYY1lvztClvUsmo5VkcyHnIvvcYG2HK47UPgQ2qzVTSHz24iVd07DeiQrs7u6Od53n0eUl7737Lm/9t28zOUfTdYzF7bttG2LxIanojFaLXnrVHC2LH5FYMZSFLx379VUkqZIltdYzCbwtiI8QnYEsC/rWj6xWklHorDDpPhK1G7b0CxFBTqWJstagNDmFmYtVJdZ18a6mgHXRqKVCqAHc0URwubAvUaP6u6VxZ319VS+mlLi6upoRIqWkJY25lwkeOV7WWrq+pUOyKGn6LOKBFKNI6oFGG1ZtO39GSgkqb6QkBnXMpPkc5/OvtKJp7WLhohhLaoxSs8P9aTm1ktCXaOFcyptROLmOczuGWpqNaX4OnBCOFfz2996Ra/dLMC42vZTCE+LB5kfapsEohc+Bw2FgHB2T8xzGidE5vAschsjnL/b8yQ9/gHOelKDpO2KG3RRRpufs0QW32wONbWmVmMXubvcYJXYnVimSkjUupUzWloBCFa5IDo5OZVTKhUglvJychXOTT5R9pwHVsgy+FM0sN+TlOlBfs5wLSwsEOHKJKvq7nDM1OVke02mQtkyMvgmlv1ME7/SxN5U5UWLBoorY4BiEymu8n0hpgQwVQUKlrFTbBO/9LH7Z7/fzedltt19CzZZ/n57jh8YSta+vq+pDsqiEl4FSrTTdD8YqYIJUfRQ0KrNWhvPHF/zO7/wmf+c/+S3efesJ68aSnOZ81bPuWqlAKU2/ErsP04rBtPeO3ijGYeDu7hbnRngdCd6xXvXk6EnRo5VY+cQwcfCerut4cnnJOA5SPizIlCj7ErU4VVWVWv38jT1/tiOL7NOngMoZTZnguZbHEH+n4sKsjaXtVsSU6Ps1h8mzvduhref8/BHaWkGjtEYZQ2gyrRKvCu+FeyUTWKN1mdCLzVQZMfecIVYFMeajyiXlcsyFf5WrgWVFUBR9TPgQWK/XsxpM6s7w4voWrTXry3Ph14yj3GBNS8xJLqrSTKUNStd1GCutYsZRHM3P1isx/AuR4KU+PI4Dn376KcY2XDy+ZLXq2ZxtGF1BP3IkuKGQzqOgHlmQE5JMaVN9iwQ2LJNDzdfpqD6jmGfGomBSNFjWvQQ5wzCQ46JPH/D48eP5HAsyckRzvPdYrckxic9OJbvmAJUMuygVni76wzDMi3JFgmrQt+wXuOR5LGXYNYhaBg3TNM3eVnVxqKWJ5eZSIee6kdTPmEuIShdVVUEoyYWHlufmxvIZYmdRbT+g8BbKd12WRebHKg+jKnYK6VKEBhq0mM0uv/sSMQjlPTNfNjqFsuimI1JQF9ZlpgrM/DZ5n1L+A9rmmEn/bR5d16CLpcvsM1YcoHMpq0qHg8jgvDiVY7jde/70r16x9ecoZbB9S7INMYNKmoTiMCVssyJEcVW3pmW9MqVhvJS5k7mPCC2v8RIdXg6lNJn+QRR5OU7nW33feg/UYPw0uFnOv/r+y4Rs+T7L59fH6nPruls38uUx1t99k8ZXCe6OzymCIyXNs+tjNaCqlZtcOLry+PEaL9tYgRhT1/+H4L90T9SE8/Q4ayC0PLd1nXzonpiPLdcy8ul3u7/OVMRdjkMSLpU9fdfz7tO3+N4H3+LMtvjdHtdqNn3Ls6ePaazwR6fJkbLsT6umIybF4XDg9d11WStr6yLhQ4XgIBXBhUronGisxugGSNzcXBE40llyrurJwp8yhpzB+19QhColydZ1cV+uvKjT6Np7jwoJ0xgmF7i8vETbwDB6hsPE5K9Yrc9EOaA1ulHY6nYeNQlHKETOnJfyzmOWrpKeEQ2txThzGZXn4qCuasRd+SYlSJimQAiZqytp2TGOYrpmjHCptBWJq7GG/eHA5Nzsn1TJ3cZYUgrEmLE2l5KNxfsDAF3b0rUNbhikbJAjXWMZx4ntdsvF48sjeqEUbdPSNIZxf41tDeJ8blBoUk5l+9OisMxS8gmhch50ieINJid0ksdzkmheeh4qgvdsK+EvS5mq9gJEQZjcArIu1vRA2zScbTbzd6/HDSfZVLn+dSyzqyVBXO6nI1FcAipRhdSgpCoC63OWpPqHVJc1gKreWks+0nITOFUhGiOkcJK0kPA+nCw0CjCzSGFZ+qj/Fyi/cqXUvfKayhD90bZhRg5zFqEFag5Ec04FMLxPIl4iB/Oip6u5p0j+7wVickFQ5V5J1QxyNoU8bgLNL0tA1Ui7q1o6A6TZeZBSxeQd+/3A7uA4jJ7DFHj56ooPP/qYXTDQNqLqQzGV0kbOxTHftrRty263k02yJBwkUSJVysRDG+KSH1d/t/w/HNW7D5HKl9zA+veX0Yjja5bvs/ypLVaWwdsS5b5XCuI+F3H5uuXnftMCqa8zatBxL/B44PH7m7nMLWlALcm8BEl1HouwYPaFU8drW9+rnr/lOrNE9pfn9zRpWiL5y6FO+FLH77b8PszBi5I2l6Rhx/nTJ7zz9ls8uXyEoti2kNEk2saQo8NPd+gU6JqWnANhCDg34KYBY0Xw1XYtXWPJnSXFlhQ942Ekx0jTmLISgjVyvpwLRGHWFN6UBFcS+FXloSp76y9YQFUvSEWJEszXo17UprG0QVp0OOcZfSBlmFwEZehXGyafuL3b4nyiX69punbmKqG0ZHKzHLJK6QFE+YIW1CmEY1NdY6w8pspz8nHCW9sw11mDIqWAD6KmOBxG7u52tK1lu9vjvWO9WeELz8Za8f+RxQK6TprkhnDclJQyGCMbfC0xdf2qvC5hTKJbr/nsk49Z9/1M5D/sD1xdvebZs3cZx5GQM+PgUEUGKjeOHHuIrjTblNJe2zTSoDXFGeo9Ij+69I5aqOHMEamJpbRXYWhxlk/EuvDnfK8f3LJRcS2pLev0y55eSikCx2bDS8SpokQ55xlRWpJga68sa5t5IanE7vr3qYqoIlzLRaUuQPU5cNy0HtoUlo+bxXvX4OtYdvZzybJKelOUtjmpWFQoXZpH54x3R1K60hprbDkuaSPiI4RQFkydsVqSlHvLQgmaVIG55btZjDX3gjm5xsdNO3HMSgVzk3lSM7s6n+sC+suCULWNJYZIDnKuhR8ScM7jfMBNgZvbHYPLDC7x/NU1X7y8ZjsknGoIwaFLIpWV2LJkJXNOGU3Mka5vWfUdYXLstnfEFGnbHq1hKolMHafBxptKO/VePy2xnb52+dgygalzo86XU9FJRYerqGKZvMD9vp9LZGoZyH2dDe1NaMo3ZZwGootH5qQc6jHLPjRzWRdtjFJps+LcseOEUu28Ziol5thVKb808lx+9qkgZbnm13V0ecz1ucv5XpOrZQB9ehlmhEqL4EuCJ8U7b1/yztuXbFYt7rCn6VcYpDJxc/2a8bBjOOxoG0tTFKp+2ktFowlkpQgJYrQcvMJPrnSIEP+/pCnK7oqSlf6VGKLPpCjBn7USRAlAkjHa0LZ98fb7yVyzOr4RARUsMp/iQ+X8ETGQgKqlTYnJTdLh3mWy0vgXr0Xyi8L7hPORkAayMWSlyBpCyYZEKado2walREpa9gfJyBMoVXvPCfQ0Z19GSjcy2aVEVY3UUlL4mEprl8xqtWacAp999pwnTx6Ts8IWK4SUhLAqUbKU4tq2m9Gweh689+hSMkopMYwjKUbatqNp4TCOdF3Lbr/nrbfe5vrqFXq1oikNdP/0T/+UDz74NjFJf6wcbvHekbxIp0OIhfslSkKUlD+jFzdu8Zoq3KoUCx6XyVHN/KvqBRJSYnCOprGYxgpnX2sSGR98+c7NPRPQusD2panvUlFHCRRm8mM6SnXHcZgX8oomLWH/+rxluUEWeQmqvryQca8FxEM8kVPF0WkJpF6ve2haPpb/ADpr53KQLaasApGWACqIpcJyU6n3njEGn+Qej1n6NqrWiMeKknKqZFjVCDTTmLoI5PK7+WgLyHU8/lP+yowwpIouGrkmJxvxXO5LR5GCENkVqrx/23xjlpif61BAcGK4aLSEmSFE3OQYnWeYpHfeYYxcb0d+9MlL7nYjulkzpSBBq4ZYWP2mMcW+RYi7Wlus1ay6FrXugcjt7TUp+dLm5s0qzFN0arkxHs0i071N86HXn17zJUo0W7uo+2KVOgdOS+POuXsoVN3MKyJVN/OHOFKn/34oiHqorPVNGsdjNlJSV5XYzfx3SnkxNx9A7PMRQcw5z158bduWD0koV9ei+8FRHfX8LVH35bp6+txKkK9rTZ6Tqy+jU8dkePFZJThpjeL9D97h2996n6ePH6Gix+pMazWdgdZoxsOeaTyU0p2o8XLOxCR72ORGqE7mOYLSNL0BZQhosumwtoUwYo2haYR6kVOi0y3aKmlZk0ofYaoFUsbaVmKOdvXg/fWm8Q1a7VSJdKXjea1dHjc55kw85yzOwlHhtyO1P18qm0fKEGIglBMVirS9mTktQJaaddRxvnFDltRSaY3OFKRKgg1r7isc0IoQI9mHUjaKQh5UGtDs9ztSipxfnHG2WaGNYhwHnHNcXDzm7u4OY8XqoOs67rZbzjabYgwqJGi8nwOOnHNBCRLKSnCy3e3oWgm4Li+fMIwTCcN2N2F0x0c//Ih3334bwp4+eiGm2p4Mc/fylEXirZTBh8DoJkHnyqYbUxJ/K6XICrS1tCs5Jgm25HHxwFp4EulF/68SFGxKQLkMNABiCIzDIAhc10kbnfrD0oPmyEtaZmJ10a2/X6JOxhjp55cF8Tst493jAZUFfPneyxLFfKcugqxTOHxZKrm3QaWj/UZ1NFeouT2O9wVhUJqYpL+jTG6NTwrVdKCSIE42SYanin9KElREqYQiFeWmgiwct4wCdeyJNi8Q5XiKeZcE1+H+9zTazP0o75V0WASYdRMHSWJyEiRLqV+akh9QgmRFTkd0apocQynxhax5fXPL5y/vuNt7Rq9pTINupOSg0KX1jyzofSu9KPf7vbTB0ArvDgTv8NOEMZmUHSmae8jGMrl4KJhabhAVjXgo0ajjdENZlvnq46fBVbUT6bqOYRCV67JcXo+tJjNLFPihoHD5/9M599BxvinQ+iaO43FWp/RjMmQWbdHq045KOj0HKLWsBzVBTLhCj1gq1d6EtMORolCD2WVv0frce2KABAvrsnvXbxn4zUoIKJNEcb5q+c4H7/PO08ese0uOjs5CY6CxitaKCKlvDNm2gJhS13XVNpbV2Qag9FOVPpfOS6sm5yMhwmZzTnf2jOQd6EiOA+5ww2pzRocqSu0JH9xcWTHFCFva3n29svI3JqAqlwwxK9QFHpbfhhAKJ0dk5H3fMUyZyQtPRGspyiqg63uBy7O8Tlf5uD4q0qw1BB2QpsqZnI+k47qwJZhr03Ve1/fQ2sxWCGLWqDDalhIgvHr5mu32ju/92ndZrTZQoMZpmlitViUIibRdR7IWV8o+wzjO8vqlg/jSgyilhM2ZxrYMg0cpS9P0eBdJWZHtmv1w4NHmgt1ux3B+zqPzDSu9YhgOhOAxTUvbtfgQcIMnqwQqziT4ajyqtRBfVRJUA61IiMcVlAlWjCvbor6rmacEYArTNGgjzaBF/eTnbDYoNZPP20U7lVOi5XKxrqWFN5Uh6jmrGfGyTYwxzQKSVvM1rf8+ba2xzMJTSsfMEcZEXgAAIABJREFUr96zi+csA6plIrD8rFSM9VQW6FuiIAg+zBkSsSCmqhCci1Iv24IKpAApkFIopbpMY8pzahlWKXn/nCFHYhaIWylVENn7SMZygZ03scVm7IolhVJK7t1iIlth/67rpAQRSyPf4ElJrkFjf1kCKjG/FZmflGqdc4yj43CY2A2B17cDnz9/zdWdI9HjcsRNiuasmdHTmlCa0rR4JnQHJ55gJMgBpTOmoWTXes6sT4Oih0pmp/fqPXT49FudBCnLUROQNyFgy/eoVIDalaBtW4ZhuBeMnSYtNXlaKnMfOpY3BVI/Lkj8KuM0gPubHvc/d1mmi8RYUCXdQElictZzUjkVWsCpj95yPIRYLpPUJTJ/imLLT7m/uF82XAbcgqDlmfJRgfmnF2vefecJZ+uW1oBKgcYaojsQkibSSL9LLUlljIEUhJ6ilCZbRU5NQb0y1pZypWlRypEmP3dcURn6zSUxy549dRfEw/MSmBq0MagonlrWyv0ZQq3QHPf/rzK+OQFVrhwN2VCk/HXk2MQQAE3XdazXG1xQTDnQ1ag6xbmcErKYQQYfMIC2FZmApNIsFYcKq0Kdy6ogZUbXDWVJ6s0zmlU9iLTS2KaVumyU3/uY6FcrHj9+Qts2DMMe5yNd17Ner3HezUiK1pphGGbTy8PhQNu1JDKRxOQnUo70Tctm1dNYy3Y/VEo8PiSULtYQObHdbSX2seKn4YNnvdkg7Qkzd8MBn0Rp5L1nKFwcEKRBW+FwKCMGn6JIKz2QGotC4adwDE6VvC46J/wwrYqz+WIiGyMGpc6xKYhbRTuWaNVSjVdh5zqxjZGyU0zhHsy9RJfu7u5mxKe+R23REkJgs7FfWnyXqpflgnO6YM/HwJHjsVywjwo8i1aGjCaTSCqSsieUQEfbRcY53/hFpQdklY8mfhkgE8noLOoUKaUJUqWUEMbl7aTcRBZkyCCcQK1A50zQ5ksbTVXmKaVE2ToveOLgXoPaaRxnlLGWGpajWnL40rQ65UzTFGPYX5qAKkNJBnOMc0l/co5xkr6ZH39+xevrPS73RAw+ZCmRp6p8M/S9pW06rLFUlordWJwb8MGRUwQSWaXZLFjzcPBwen/XsUQPagJyGszU15/Og9OgZhkQnb5u+fn1Oc45dEmMrTXEXJFZRUhhphksOVr1s5fH+CZC+ilC8vMaP81n/Ljg9Me95s3BYyImSYJto9BaEeKE8xrv3aJsqkr5qp2DrCWKuQyw61q3bGy/DHaPv8tobcn3hCj3xzEYTmgt/FXbiBjo/bce8/bTSzarnlXbQFKsuwbvDqQMUSdpG5crBaf0XLW6AC7HYwshMk3S/1JEVmCNGHsK71nK8CQwKtNo6YMo+aCSypdtUWhsa2naFuU9OWU69YtomwCQa2uXTExg1TEy9t7fq/FrrVj1HZvcyUtzJk0yCdfrNZmMK87b0XlRo2lNomzOOuJcLlmTLH4pSZkihrI4GF2sEiJKSWuaWgIMITD5SZAq22KM3DiH/YHdbsfl5WMenZ8DEqjpgpxs1r2QkJ3UoSc3SdZpMsFK6YyNxZFJCjIiA7VZFuoYEtNhz+Q8qZCJfQhoa2eSovcOrcCnyMq0HIZBAprgZ8Xd5CP7YZQb3Fp04VAYazGlFDhX808XUK3YXJwfJybiN1Uz0FOl3bI7es6Z7XY7Bz3ztVsulDOptahCQBy/S6Abuc/5WWZRywarlfxaywq1gTJ8ecO4V8ot47T8AEdTvVIrk4BGG7QyoHpSMqRUiNoqokwoDZhV8ShKKPGaL+FTCU5y5RfoWRxRinbIGcgkHefPhVxQ0eWCrlAGqkFsLooVBejysqrCyxS0rPyQwY9HJdVyM0xJ+mQZcyyzViJ6PW8+eExjUUZjF87CFQn75RiZrD3KWvbesRsH9pPj4COjCzz/4iUvXt7gc08ylojFNC3atKSwR7CniNUdfbOeu0TknIg5olQDWYJmca4Xb7KcYNm65KHzfbphLu//ZXICP74h8ZvG0svttGS3RL4q6g7HEpWGgrxJAiFJtaACJmcMzDYUpwhwDbIeQq5+HvfdmwLKn9V46P1Og6lTusH9OZuYJmnZVttUDcMge2LOs//iKaq+5I3WUdfMuj5X0+L5p7QzijEfqQMwo1ZL1fPymiiluDg/4zsfPOPxxQVnmxUqBfp2zWbVsr2daK0SACBGYgrz8Rhj57qnaRq0tWgdiDEtvleCLGIclPCDp2IRlLMiOk+aBnzyGGOxpZVXCJIA+RRJSdM0K1JOTNHxcOj+8PiGBFSyWUokHCFA0gpjjzYCOZdoFblgbWN42l8wTsM8aZvG0rVig98syHUhBLI6XmCAccqlpCdHkEoZLoQ0BwoSbJXFIh4DuqPk9KjWkmzUF1m8od+scd5jGoNte6YYGYLC2A4BGxwhO7yPtKu+LCqQoiAUKSZRDGWEEK+lX9Hh4BimEb1uC88mYZFAJymKQigxTo6z9Yq73RYXPIftlnEUZMs0DcM0EXOWKN5akveIMxczepHLufNessqa8dQssysmnEvS6d3d3b1JulT6aK3RbVuksVDx32JLcgyYCwG+eirFHOdrpJuHOR/LoKf+f9kTUQK+Y4liiTIt1YT3M18NqkGZhpQ1JuzkoKsZn1DpEEdqTdKKVPzLsi5ZtRLlXZaIBkjytuV+rMIArUrpLMXCSUoleIoyN7LwAWtAl4GYFFrVIEeV7SkJBy2I/4opndX34+He5lORptp4+3A4EII4LbdtV8qvQnBPQAye7I9E4np9a7eBOeEplzWmLPfUG5CEv21DeB2CLIPBo9jFzF3M/Pu//CG3e8doe5rughw7VDSsuw2HMdBq4aqQwKoWQ0OKMOyrzUjCp0CICVF6SdN3pfN8/7wpgHio/LZElt4UECw36tPXnT5vOY+Wn7mc+w8lKLUqXcA9SrEbgyotj8DHatRrFjzAjMkZFQIpuS8FOr+o46sEZ0uk/Fg1uS8QqP+uQVLf93MiOwfM2UhCpnLxvTP3aCXLpLcmyjU5lYBKApTTa1q/x/F+Oa51tSfvk/M1FxfnkALRTzRW03eWtjGcb1bsd3fkoJCvKQCKvFaTynqTiynyXJ5UGlKa/SJTSAiVBzCB3LaShsaAIRBTJiZHzGmm/oSYig/igJkCzB0EftEQKiWupClaYsh47/Apstn0X1JrhVnibbCtwuiWlKFppL5hDDgfWfUdNohXlUjpRf4YlZz0cQqCHlVuSCzW9pVkntIMY1YYfzlllVZ4H4TgrgyTc9xub2i7lkdPLxjDiDGaTitczDgXGcdCMk+exmZUMhgUNltstuSs8KFIipOCpFFZQTLykxUpatwUMX0kKkGpIlJOSgpRPaDYDwOrvsVNB7JShewOTdviskY3raBBWRRmMhnVLOGvE6LK+gXZk0Co7/s5kKrtVapYYO6Lp4+QvTRjlUXTUswnYw2S85x9LhVu9WdZWksp0dnu3q1zj9xeCYtF5Veva7VHMMai9bGvmPceTaZRCpslX84RbLMiZsPkI7ZtaDsxhe2MBzIpOmKSJp0xeXJ2SEd4ab6dSjAkjjHVgT7SUNR4SThOsrDpGfHx3hNznANaBSht0Epa/4CWxEApUKICS1kX+xAPpQycUiaFJIulEgf/aUqlNdJRTbr0BNPa0LbHsuDyMWub8vkV6ZKA3/lQUJSqJPyy0uxvwT731YYSzmCIGWUsWRsOo+P5F6/44sVrXLIk3ZOVxm7WqCkx+gnbNvTNOdaIQGG92nBx8UgsGKJht9+JyjYlUhTSOogKFtWiCJSayI9FZ35SwPEmVOpNm3y91jVhrWvycjOtY6nKXf6fGEqSUSrfUHNrUEK4DkH6HxrbYG1TnmPQjWG93qBiZL/fzevQzwowOv3+Py0S9dO+/qFA+FREs0SYlsFU/VmtVpydnc1BVfXwk6S1YdWt2O/3nJ89QmupXgyH/TxnTwU7SyVgKpwjOBUGyN/HtkKSHNY9whjDO0/Pubg4K63lNFZrYvCM2dMYzWrVM+x3UJT20jbs2IQepej6deGSBekokcpeVSon634tqY019H2Lyp4QEzrD+myFd5phGvE+kLOHrLFth20aoQDVtdKYr3XtvhEBlSrZuVaJ4BRRAfHIlZmN53IUEjNysWMYaZq2RO0SEGht5y7TISYhhQ4D0ySusTFlUg4Fal7KgPPsCyUXLpFyUY5pcSxOKR97FyWF7ValzUrm5vaG7XbL++fv0TUNzk9E70mhQvRSjuu6RsqbDgiKxjQi4cRC1gQSriABWjVlUUkMo8MqS1IGMARqWS6X8p/Cxww5klDE5Li+veOwveV2u2PTdUw+EILjdhLDQTLsh8Mi80BKpBkOB+kLpoqyLi8DTHNsFWG0lu8TE955KRsuIHoAVeT3GYhKyLtLyPm0DFGDp1N0Q1e49+Qmr69fZlRjIfhba+lXPd2qhRhYxZHgJjZaEwko22AajbKaYZTWOUkHgjugVMKYHq08Wnnc4Iv82JGJQJTsSRmU0QVNVTOpvIAOhJhJUXxhclJkbRB5jGbGmzIMo5vvSVVkyVprotL4JCXdmHNRAUYJAHMpMypNiIHGWpwPaCx913B3EGSy1Vo25ZTunT+lNUaruSQq6GxFMERtGCZHSGKOegx64z0D1DlLLiXEzJfLuX+bRwYmL2tGRLMbHJ+/eM1HnzwX8YwxhKgIg6PBY9sNm0ZDUqyM8AqfXl5y+eQRjx5doDKcn1/z8tVrYpS+kLthJ8GDHwS91gpTkpKvW+pazr3l6x7ayB967Vf5vGOwvlD8LjZo4pdtHgTllJ6FKQtCb5JGZ4UqHQByTFI4z75Yqshcqc1/tV5+JwnqfxaludPv/NNyqJY80R9XUv266+PyM1JKDMMgljk5z1Y1m80GsmLwHucmjNX0fV8CdfA+c3HxmGEaqA6c8QRp1FqTai9Q9TA9oioEjTnaYFTx4uX5SpDwzmK1xihwfmIaPKvOolUuTYkX5sylgmS0pl+fFcujUsUolQ6jNRQVv1IZoxStNbRGM4xDae2U0XpdKhmlbBxL0EdRSCZFIBFSnJPjrzq+EQEVHKXXUs5rsV1b+hilWVpb+WmpZMQ5Z5pSVk1JgdJ0XUuXOyndJRjaUTZ3RmJMhCiZujWmyC2P7UTEBiATsyIgDRnxGWOgMQYQh2JpOFtsGIxmmkZyTBz2e9577x2a1pJyYBo9xiiRQZeo3privD45VCxlKdvJBqQ1nYVpFH+qxjagYJgcbgq0bUfSCtVYKYNpRcqIqzKJyTtyTFij6ZuG7f7Afnfgw48+4f33nrEdBob9nhGDsVIfn5yHlFn1Cm2EJ5azg1zcc3MmhzKZgJoNAzPhXEEtnmOUukf6Px0SbLx5ka5tU2oZTKmCjJXPz5p79f6Ujr5hslCJl49tWkxryCqh2iRokh/RSdP3xWX/naeMPnB9e8flxVv4aUAbxK8rSTPr4HZ4JxBzE56WSSxFSTmgTFZi8RCTmM1K0dKisiZlQ4yWEBJeWVmAUvFwUZKgp1xInqYrWb+YxYbkCFGC36xEoJCVxQcxtF2fPQJtOBwmmRcpM013XF+9IriBvrNs1j1nmxUXvcIqESuYmWumZ2QhJ0FRvXezunUmGivFVMq+s/9XEu5hTLLgTaWB99LWoj7vl2HknPERdNMyuZEXr2/40SfPud4esP0ZMTeoZMhKUNLVao2xLQZLmw259rvcblmtOjZna5pO8eTphmka2e8jPhm8t2RV0IYiQvhJG/NP813eNB4q8dRxqhRcbu71flryHpeBRSoJm7A6EpSEdnN2PnNQ63qUciYRSEgfuaWHlZSwq8pMlNryWWbeoGWtEBXlz3M8hE4tf/cwovuwG3kdy2DqNGF5iF81juPMh1r6jSkDKQfWZ2fS33VuZKwYx7GyMcrvLLYVdHAKnpAiJtsvHWP9mvU7CDVA/i/XT6pFjzZdWTuVBHJaQYqk4BlzpGutlM9TAK2KIbXwhYNSNCmxbtq5yiDrVZrFY1opUvASDKqMJ5Cch0Lxub29hVJGrolrvWdCCCVYrKVE87Vuk29EQJVzxjlP8B5SwqgMMc+oQ810lNIwlxnAakVj5duWmIjGGpQyeB3J4rnKNAm/KReWvzWKTmlChpAiIXpc9PiU8Ln07ctAaVQcvZf2HlqiXtsaurZhtZIN0FrFNO7p+453nr1dAgPDbjuhER8socRDCk6IwhhSzBhlaJpWPEMUNFZufDcFlBZ406UgyFgjTta0loT0+5MWMbIY+ZCKUSTSGNo7lLHc7Q80r2/wk2d7GHFoTBNKVpchJ6bJiUrEe7wSw8gcxfxTa10CUAkkYu1+rvXsFQXMpPAlVDxzpcq/6+InFgAFVVwuLiqj1P0mqvMinCGSxMYhFsp2tlI1UJlsRMWZyXR9g2k7ptKeYH8rHIJDDjw6O+f68xfEw46QEvswog9bvPJMB2njI75jiWmcmKYBrRRn5hE5C09KPLwCiYjIGRKmlWC5MEjISRMjeKdxTuG9ZM81SKl8o5Rkk3B+5DAO+BDJCiY3kci4EDg/3xCDw7aWyWeU7rl5PfCjH/0lu93E7fbAdjvw9tPH/N2/832+9SsXnG9WpDBiTSZNe3I8yDmMufARj6VV7/2siKwLYkWsQoz4fL8dT10wK5+qtk6qvLWaqHwdhcwv9lCYpkXZjpvtNZ9+/prX1zuSsoSoiChM06PsCtO04jO1PmNlWuLkSFFsMMZx5ObmhmHYcxgO3N3dkHNgciPTeMt+f41zI123ErGJv7+p/aRS1SkX6icFYW96fLnpL99rqSpcEpnrZ9bNfba6yYIgpZI4xCBNt0HRti1n6w3GGHa7HTlEjLYSyPuI6e+3JzsGJLWsuLCdSGIxkgofU/M3pz59KEh6KJhansuakJy+z2mZ7zTArX9ba+m6DufcPEdXq5VwJWNAG3nexcWmKAXjDCw459BGz9dPa03bdMeOCTFB9mWfW7QaovJK1eLaH4NHUchHPnjnKV0nyNlwGOhay6o1NF2HUUgSpnQBToyo7kIgFoHXMEw4fyM8z1yRupLGGqHGiJ1IFOulJAm1yhlrO3KuXlsZVfsFV3AlRJwrpP5+Rd/1v3glPwBtNK3qIAdyCAQ3icSxGFfmnLGmkM5iJASP0prG9qA0OUdizGiVJapFSO1WK5pG0XeaFCdidHStolUNd4PwD+YbMlekQUpo1lqcK3VapbBaZOB9J8HUo4tzXr58wWbVc3N9xW/9xq/TNVb69imIbsKP0ow4p0ijFdF7hFbaSNPlnArXJs4EOW20yKJL48yoMllnoqWQsnUxhtVYbfBe3NsVRrg5CBFamY6U4PkXrxiHEWvF2mE/DsRMaU0QCd6jlaJtpFxqjaG1YuhoFFIS0mLlr4E8+1RpkdfHKHYJ2tDaRm7qOnL5o8w2rUSmGiU0WmQyFfkQuawszp7WWOI4cbF5jA6avXYzz0xbgzKlzFn6EcYQGNyITRqbZCF+bC8ZRo82HTchcf36lth07Ld7tLE03ZrPr29Z9T0pCGQUSjYcfSJnC8owOE8KRpAopDSWhE0v3LWgqMqSnEUtEoPGTRo3SQIwDHu2uz1XN9diNxAjbd8RUqDtOvrVCrRkT8aK83zbd/zFjz5mPIgZrLY9T9/+gMMQ+L1/9i958fKW3V5aLnzrvWes1mueXL7NRx9/wdPLM8bDlkZFmri7x0+r86o2p65/55xZrVc0hbNimqN0uJo1Vn7GZrNhtVpJX8QkCPBw8NxdDTx59JivQ+j8RR5KK9r1GfuD48OPPuNHn35BpCGphoNPWGvoug22W4OSvn1nZ2ec2Za7eINLFE+2yG6/5fXVyNnZhvOLDa9eveDu7pZhOFA5K9N0wBqL4ssB05eO7QGEpI57pbYHSlkPbepvRJ8XgUMNyGHp36fvo0m2HH/OECNJF44P0NiWruvvVSSsLaRqCi0jVDNf0LqKUaRdj4gqMjEemzOjjmakX2X8dcuED52r0+DvNBj6cddq+R6n53b5GMA4jrOga9k5Qj5PrDe0Nlirub6+oXI4USJmEUpNmJMt+YzS7w41K4YXZ2v+yUg/25zEHyoXmgEq8e5bj+cWRCnHmXCulMZYjdWKaZI+laKwB4IlxkxWmqbt2N1uUS6UfrgStOUsMYRUggIhJyQuy0XgkHBugqTJRkmQpvS83s1Ifa7nsSTz5uutX9+IgEqh6PsVRmVUlmBqIpEWJDrhUB2luN4HEopL06GNBdWCMjRNRyKjTRKzyyQqGWsNm82mmHYVJ1gPWouEXWmD1hZtAiYkQs7SD01njNV01tK3nfQUbC1ag8qertGMw56uMbz37jNScAQ30fctbWMIYSq8K+Z+czlnks4knXDZ4bInEPE5iFy0kZ+kZaIEBCVQfiKozOgndBSX8sa2rJqGZDNucgKbZ4UrgVuOildXt4SYePr0CavVGfsxMI0DDoebZOL1XUdzcc5qvaFvpA7dtS1t6d9nraFrpGQVtfSPAzGlDEp4UV3T0JZFr163+vf9hTuS8UQCIWVCAJ8yU4zEHDEKHp9tMCbRrzuGmNhPA53qSWYgGyc2AlYg2+ADPsfZFBMtvLJxCoxTxDlFCi3ToHH2jGQsjW1w4wQJBh/xXojoJMhRk6NHpYy1axpjpfdTtOjCY/MpEVIgqiSoWBZiZELQQjdNTJPj1Ystn3z8mi8+v+YHP/gBTatpuo7DMNA0Yq662qz5+//13+d/+B//Zz77/DN+7/d/nx/+8Edstzu2uwHnRtYry5NHPecXG9569j7Xdx/z8aev+eGPXtH1Eoh1bcvd3Z5/+2/+AxdnZ/xP/+C/54N3n/Av/vnvk5Pj7voOqKpUR9u1rFZrzs7PadqGvl9JT6uCINYAq+97Vpu18ByNKh5IimGXQG14/mrLNl+xG695+9E7xF3DX/3Zcz788N9wdX37N7KG/P89ROlpeP76mr/48BOubnb0m8dMLmKbDtuuMG1P261RypSAdEO429K2DefnG/b7HcNwQCvFdnvL1dULjFFFVDAyDAdiClgra1WO6eQYvrx5L1GNU3RqiTY+9Pq6WZ+WlU7f501jiVRXb6O6uQOotmEaR3KWyoI1hoQm5onVZk1Kmbv9nqasKbp8vrEWSvlIzGPfJO8/Ko1zzqW1WPFtyz/+2Je8pZ92PBSYLgPXL5fMvjqB/aHS6vLfFV2W4FuQ55cvXx6DppKsj+MB5wap6vgw8yTrefPey76SM8aUvows/OrKZ9ZEHup9I91DVE7k6CFFVm3Dt966ZJomUoqs+pbz8zNaU9ZbJf6H4hEVJchGLIBCQcdjzpyfCWppmqMRdIyRmMpeXrpNSDuwTJOT8EcBsJCEHypcu+K7VXwgYygO8VqT89Fc+quOb0RAVf1qtCk1y2RJtiEkCRoEtVDopqNrVuR2RdQD+8OIUo3I0jmSM7u2RVvDXdiiCweHpqFtxUxTJOKBrm0IMUnPLBPR2qKMB+dRPhKCNOxdtQ1939H3bfEVSoQSOK37lpfbWy4vLzAapmkg50jTWPq+K+oy4RktSdNJJWKTiXnCuIPUe3WRchLluhPJxaVcWyPtblImZrBRk0KxfjAiqY4R2q6DnNkNA40VA73Dfs/tbqTrJ2zT42NGZTEs1cqyXjVcnG14cnnJxfk5fWvJKXG2XtE2hhQEyWtLZ2+3yEB1o2jLQlkXS+kDWMtKtbAlLus5Jdr+mugCg8/4aEF1YFr6tkdrRdcaVIoEN3J9t8VgQGsGIlPY4/OBlCIK4aNIU+YopN+Qi52AJWeDMRcE3+F9z34X2CsDq04CnmGi7zpev7zi1RdfcPXqirP1mu9+5z3ONxvONiuaZBkplgohoZMjyCpCUhYXI7rt0K3m1esXoCPb3cSnn35B8pHnn13zgz/9mGGfiFHh7w74sGWzXmOaxOEwcB4Mn352w8urgY8+fs0//T/+QEpvZM7PL1j1K77/m7/Nb37vCePg6PpzPn9xw7/+43/Hum8Zxsiji0tZhDJ88qPP+N//t3/K7/43/xXDWc/v/ne/y1/++Z/xfO1Zb9a0haC6LBnUXoRHdZ8COlRObBoDZs0QDry4+RTTtbjBMN61qOyEz9dqDteev3zxCZ2+4M8/+pi/+vBjwi8HhYoMDFPgo48/468+/ISsWmIWg1fbrdGmIUZBL/uuA5XZb7f43ZbPP3+OtRJkNK3l0aMLzs7OmCbNat0jqFSWNSdWz7RMiF+dM3XKe6qig1wQ5GUAUf+9RHNOCdCnJaxTdEqoEPZeULdsjKy1JhnN+uyM25sblDGcbc64uLDc3tzw5O1nfPThj2TjRN4reNnIm65jKii1BEsGaxvaNs4JN1T3/3bxO6gqwp9Q6bz3nU6/118n0Do9Zz+rcRq8Lcns9buP40jfd2TnZa1Qif1+y2az4XAY0FoC21A7hCRx/E/lPlNaQ1bEFOaAqhLXtdL3qB/j4MhKvBxzililWLUt7zy5oLEtj87P0cWPT0xsM02jsUYLnyopjM0IcgEqFs6u0nSdhC0pJiopfnYCyInWtqAcsXBTsxJD5BATxiis0Xgf8D7M+xZK2m5VA+O27+4R8b/q+EYEVCnlwnEStV7OEdVotLG4cSJrhTEtTemxE/JAzokYAldXV1KXb9s5ygwh0GhF2zV0vsOHwOQcPnicG6UElxNaFdVSlfCr0hMNgQiNovjyWLq+oWlMUUrJStR2mpSg6wyXlxfkHPFuJCUhoVtjOBwOs8IilmjXaE3IAdUrgo8cwiimZUBOitE5xkmk+AqDyhqrNATxIyJoGgoHIRmcixyGAWUMGiPEep8JXtxjpymidWB7GLD9isPoaAGtLX3XSQmn64Skj1geWNvQtx1tY/BKQUrSRiQzqy5ykt5xrTUi33YTKBh2Wym3Nh0RxeQjw+QZxonBOS6fKlFx0GJtjzFrtG2kD1xKpJiZxokYAtHTMtbfAAAgAElEQVSJYk3rIEhWvsHlW0IQ16yMJgWKjNcIT0m15GTZ7Sb8lHDjxxz2E0+ePMPbjtvoMMrw6uVLDvs9H/3oQ55/9gmNaXj32TOuXg381m//Jv3qXXwS1WVWIkzYtIrkIy+vttzc7fji1RW7YeDl9Q3/7v/5ATd3d0Up0/D9X3/GtI+MXjF5Tdtu6LsVNga0sRyGgX71mJg12q75R//on3B7e0OMmr4/J2VpqBvCwG7refftd3j/3Q84f/w2//gf/xO++8EH/MWHn/Lu2+8QfJJScHC88/a7xHHLH/6LP+R//V/+IQnFo/NzhsunpCSlvWEY5FobaDtDyqMYKlpFzIoUEnEK4Bw3uz1DbFFdQ3PWE0Lm9mrPcBiZ3J5vf/vb/OZvfp+bqyv+8A//mNeHaybVMdqVKE9/CUbOmWH0fPb5S5RqaLszfFSg7ExTiMkJVwODc9fsuMamhHMDISqsbbBZMY57Qph497136LqW/X7HdntLrhYcWQjXP2n8JHKzGKJVGw6NNkX4kcWb6D4v6eFS4pvKhMuSX31ORZAqsnF2fsbz5y9omwYdEsNh4NY53n/3PT5//pwQI28/e4a1Dfu7HVfXN7z3/nullNTMZerKsRXrD9kDhKtVm/0ey9tSYvxal/anHm86bw8FVX9dNOzHfXYl9HvvxeaFQE5SnTHWcHa+IaVITmIuTJbKkISlYiCckti4GFVUfzVoK95SmaM/YPX9a0wr5z5GmpU0GX732RMuL5+gVcYoSPFYhbq7uWG16hd9BqVlGUqTm4IkaU1wHldUicaIwMroBmukNVgioYzFtJ2Yw1oroEDWaG1pmg4/SgwhLgGyRyml6bu+EN0j3/ve9wQE+UUjpYMonXwqzqiF8Z+Sl55kSQJVrY5Kvs1mg1KGq6uXtG3L+fn5zMWJMdBkizUW20hg47IEGAIJI+hRNmQX0VGhVbFGVNI/SEpvthAphYytckZpMEqaIK96IaWPm7X0B/SezWaDc46cE5eXl5gaVPW93Igh0vU9TdMRrCJpT0zV2R1W3Yrz9RkmN0yjx08RN8kESNHhQ4Sk8clztjmjazXZJUwSJ9nDduT27o6sihR1WjEMe7QxXN/scD6y2++47HvapqExUs++mxzjfk8Kj+jMEyIeo6RfUggCrUcULnpiGEuPJbGDsG2PVhCk8Mz5o0dSRw9JmlRmjelWnK8veNJ0GDuJ6i6Jj1II4KeJyU1M0yhtVcj4ELi72zEcHD7CzfbA+izx9rNWVJ2FjRajlOmsbtG6BVq0bliv4fytx9zc7Pn4o/8XlQf2fs+//8sfMQ0jH3/0EdvbGz54/11+5f1fpe8sq1UPGl6+vmPwH9L1LZnEfjzw8ccfsn/1nL/64afcbCNttyLSkLUhZrjb7+k2GjUlAhHTrMl54myzgeAZ9wH6xKNHT7i9vWUYPevNBY1t+I3f+B1+7/f+GY01eBe5OFvhvaNtWpx3/MN/8A95/4kIG/7vf/l/8eL5FS+vBp49e4er19c0XS+NdrVls1oTTSRMjn/1x3/Ek8sNLky4MNI2DW4a2aw0vQ24Ycs0RlwM+ARTgMllgo9kH0Xh6SYOweJVy5PH5zx9dMmZ7hnTHh8C1zdbPv3h56RDZBXPOSRHbhJfHD4hq2/MEvNzH9c3dzx/8YqmW5F1wziWUkljQQlPSLyAJBDpjSHlzHqzIqUoHA8sSgvi/tFHH9F1LZA4HPaFyxKxVowMEz8e/vtxHJw6liaty+frUvKQdjry81Bw9uNKWMv/V+5U7a85To5Ns2Kr7nhy8YjgA9fXN6zXa15+8YIcE0+fPGU4DOx2r1j3K7q+x/vA4XBgsxaridevX3F5+UTWaGVoW5HrO+domhbhUcWyJn+9SOpnEeS8KWB607n8WY03vZdzjtpvUmshZ2+3dxij6de9qMubRgyVY2IqYiA386iO36eiOcZYMsfgO5SKRg3OlRJeboyBD95/xmq14vbmisfnZ9zd3nFxtiZFxeNHl1ircX4CpJoUfGZ9dgYUbipF3KTUbJ80u+hrVSo1iazEa7Fyd5XVArLYlqZtaGI1I9bScSDn2cz07PyMjKgB27adKTtfZXwjVjulFNpaVJGfpyRfVsy1IqTikm3AmI6uaTEXlr5fMezvGMeBcRy4vb2lX604v7iYL3jOCx5U084XwhiLi5mYJkIMBKXROmGNIlkjPKyiNpHWDqK4axvptWWMZrNZSUNkBTc3N+x2Wx49fsQwDII+9D1N29LnXOB1cWOapolVs8F00pQxhICbPNEl2ryi7Vq094Rt5NWL11y9vGE4TBwOI4fdSGtbPnjvEU8eX9K0PS4EbNexvrjATxE/BWwrUXvwCe8To/Ns9zuub0QdYbxn1Yq5p5QTAl3TooylaTsJJGLk5nqPcyMXF2eslASlfpowQNu12KYloMkxMXkh7xtjpYYdxYIi2waUJqDxIaKihajxIRVfJ4GWY3TEEAlZNp6EYnP+lP7c8hc//IR//kd/wq//xjN+5bt/D++kxKmUoW0aFBprGhrbYXWL1S1kzdnmEVev/4z/+Cf/EaMUT54+QzvoVea8Vbz97Xf4tV/7Lr/127/ORx99iLbSg+/gbrh78ZqQPd67EpBM7MdbfvX73+bFix1fvBw4HAKXT5+RjeFRatkdXrNeQ4oTv/Nbf5dO9fyrP/q3JH+gtw2HENnt9rhpYrPa4EbHf/6f/mesmp5f/dZ3eP7F52y6NeNhEHJ/yjx78hYvP3vB3edXHPZX/J9/8MeoFLlYGa5fv6Trz9A6k8KOi43iN36l4/vf+y5vvRW5uv4hQzhD2Ybd3cT25o7NyvLWkzWEPYoJHx1YS9INPhtisuQkvmhgyCSU7TDNBXG0bAdHzuB3gWbVcXV1zV/9hz/nX//BH3N29pS/91/8l4yTZp9XxJ/AVfnbMxSvr6549fqapr9gcgnbdCjdYEwzKzmjF0VfjhHTtijy7EQNkcmN2EZzcXHOkyePubp6zavXrxmGPXNj9+CJubYv+gpH9uDmKsnp0qyx8pDqpiiBlthrECsCIVxWrWRt/EmfuURKKnrRdR2rds3h6oZH3YoOgyZzuTlHKc3ddsuq79ExE1wkOU9qWr71wQeMw8Qh77m9vS08n6PlwjvvvM2jR4/4/PmnKKXo+56UotgAZFWIxl/zsv4Mxpe4UcmiijK4Nhb+eY3T8x+iF3FRUW3nnNnv9zTWcnF+zjhOjOOBtmkxWtG3DaRc+lMWBWfhsxlrsU1TOJfHIDHGUPwZq17HEGPkW996h/PNmQRmRc2Xs6z93jmeXDzF+ZEY4xx4ow2NsUx5IoZEsKKXz9qIKEMbMdQt5WTTNPLdlEHnqsYupbxsZz5e0zT3FKA1oZDnKtw08fr1a/Ht+kVDqLQx9P0KUiDF0nbAAEl60MUYqL5E1qjSW0wkm5vNmnEcGEpvurZtJTJOxXCwENBzThir0bojFtPQ2XQzRmL0pFhZzdKI0TQGa1v5fOT1q7WUxyDx4tXLmeSOymx3W95Ob2OsxXvPer0m5UzX90yjKLoa23AYDnT9mmHvC7KyIgHDYcfr21uyu2F7dcf16zv2NzumwYtRo+rpmw1tsyKPjtvXN6QsfkamEJJNY+lWHbppUMnjoyvlOUXOhikEoklsR4cPmYMr36vvsdqyHUbyzQ1tIaZHPxGCY3/Y8ej8vBBitRgVhv+PvDf7suy67/s+ezjTHerW1NUzGo3GIJAgTZGUZMmSLcuMY1uOlfghb87KQ/4cr5WHJO/JQ5bXip0VazlxHEs2I8m2SGogGYpooAFiaDR6qK7xDmfaUx5+594qQKQEWV42JW2s7uruurh17hn2/u3v7ztEQtujGSJ9lDjTWgxt8CL/Z4jnQYKafYzEoFBebZB38a4yFHlBWRbUqxqvFNYW9D7jvQ8f8y+//ts8fX7CL3zta5yeGRbzlrbpUGo9QWeUZSCEFYrE6ckJvnM8e3ZEcI5f+ftf43e/+S2KIvCll97g+fMnLI/f4qe++hXQinHZMNsKtK4mqsGGVEdyq2AEIWmcN2wXe8SYcXw8J88Mxc42Vw9u8+zohPOTDh/B947JuOC1e6/x+Vdf58MHD1k+XwwPbUHbdxTWkllL29Qk7/nBgwes5nPqxZKqLOldjy4K2t7BZEpbrzhZnPHOgx/w0ccrapfTRdC5Fb6dX2Fo2dna5tr+iGvXtqmqgtb1LJcL6q7j5GTB8mzJF994jb536CQGicFrXB/poyMag0+JmDREg0oK7TWtcxwenaFOVpw8eI/ZeERtE+Wta+g8RzUNv/zzP8f82SmF8/geyLZRJvuPPZ38JxkxRo6OTgkukVcWbTWTckJMA7djCDaOSTZtCkXfN2glO3LhuSSs64nRs1otca6j62SBW5vUbtRrfu2/9sPHH0VwXhO2lb5wNv/0Z1mrw9YBtxexRWs0QObOCwRGWocS7M2Gk/eJJIpLmaw3t69SJUs5qvDec9rU2BixVlNhyYJCu4T2kd3JjOvXbnD9xnXmiyWKRN2umM1m7Ozs8OzZM5qm4cUX77Czs8P5/ExEF7kEApdlQdM0hMDw8/8DXfR/7yFZeML/SSApssAa11GA/swF8+Xxo4juF8VOIs/1xrZGKYV3nr7tOIzPGI/GWK0oMitI4HgKKbJc9Kx96xhQIbPxt7IblOdyWkWKfqPiCyHw8ksvYPMcYy3T6QxNYDqd4nqh4NT1irYTVfwGNTXrTMtEnucQ00Cczzbmod57krbkVUaMQXJHrYSLrxNPYopkKRc+mE+C8KqLwGdtpOhr2wYfxOB5Z2c2OKn/WUOoBqbg8GgKRKckymF9T60/lEgjNX30IusMkVFVMapGVKOKra0ZRSGtuM45vBdEpRvMyta9fSGlObrO0/ftxoBQbjQvHKhMerJ5npFnGXkmtgkCmYZhcrvYBSxXK1Z1w6ga44MnJInnyPOcPsiFzYwlDRJ8oZdYUZqde04+nrM8WRK6QOwimcoYs8UoB60sGoNCFD4xzvFtTdKacjQioTk7OcWYnNlsl6ISJK2yUqw9/PAZxTTHjnJS2xGNQUWEqOcvTDu96/HeUeQWY9TgO9UTgviElUVBNRlLfzxEuj6IQkcpMpvROEemLBFNF7wQliP4mOhdICWFyQqC16zqJavlOU19Tlsv6NslTdMKUX60zdbuAY+fnfPWOw/54MNjvvjln+bRkyVx0bBcLRmVJd439O6Ivp1zcLCD62uKwrBazrl29Sq7+wpSwcnZe/z1v/Fl2rbh9sE2xRf3+aW/9iq/8zvfIqhA9M94/Seu0HQto8kYW+SCJrqOECSxfXdni9nWHsFnfPc77/HOOyd89FGN8woTM25cuUlWJHxYoFXHo/c/5IUr1xjnluQH9G2QJRujSU7M5t76/vd5v8ho6hVVWQrJ0+YsB++zbFLwT/73/wWtKhYLmK8Cylq00YwnFVYH+rplZ7bNT/3MV/nLP/eTpFDz9oP7LOsljw8PyaoRMWoKWzAaV9y5dZWPP3yfpl7StZHWJ4KyRGPpg8YFSZA3KpErC0pz9YWXGW0tGB+eslPlfP/px3zwoGbr6jVuFiX3DrZYxBXvPH2Pp096kjnYFNR/3keMkfn5gpgG1DTPxYzQucE0MaIHZzyrLXqIrkIrQhAnaeGOiLmqUmxa4CFKxqIYVQ4T/B8zx/9R7SPhSMnufr25vMxz+rTybxM3sjaFRJTE6/YLaxrWYAATQyDPBZWT9VeRkt5wefq+x89rlos5e5MZbUqUSXPv5Ve4d/dlTk5OOD0/J8ZA07Z8+ctfRRvD+XxOgaHe3eeDRyv29vZZrZacn59vIrLG4zHTyZS+6zbc1cViPnxukHbrBVq2Ph8/yrLgj2ppftbxh96b9KnLJ2UUaghAV+vjlDQFUSSusz8/W5F1mUR/+fPkWYnWlr7v8H0vXColr++7liLPxBi6zOnbhjsv3OT54SHzs2Pxphri2myWYbMcm2UoZYjpQg1nrSEFUcnn1hKDRxvD7Vs3UMpSFCVkFqInWUPXrCAmVvUK53rSpWJeqwuX9sxa3BCxtW4ff9qCIg5JJgolyNegIi3HI/JkWbYrrM2krT4IJ0yWbbh464gbpcQHzTk3+CV+tvFjUVDFJAVOioEYHL5r6LsVfVsTQz+QZw1lXslEgJb8uRAI3lEW5abCPDs7pSgKGHw1IhKTYbQmhLghXUcTMR66ppWq1IuvkRhrinN5VHJzVKOSsixJwRFcT98PPKvhddqIKdl4MqVpW4pyROc8thOlQdM7XJAdpfMRpS1d7ynLGatlx/HzY06enXD67AS37ChUTmUqLBaS3BxCMh8mO51whcKrHG0KSCV6KL5SiNTPevwoUk1LYmnQSQ8qmcDIZvgolhPOBWJMhHCxk3QqiceXqhiZYlAoJkLwrOoVIXhciviVTFhd21KVOV3XYTQ8PzraTMIhSWCsyXLqtuPsfE7X94DGuxExdPi+JoYWrTyZUVRVgVIFi2VHPtIcHq5wLiPLtlkuPTezCc7VWG0oMgPJU5WGOClJzCmrgLGB2U6k7R+TlZrkE1vTbabbhmuja0xsYjaVieC1V/82rZPA6d57yWEb7sm1fFYPD6iOkTZ4VJnx0195nSu7S36jfYsHD57TLmuWyxVoB6rG6Jbf+Nf/mm4+R5NQ0VMVBcl7opLYGqUiVjsmFbz4wnUe/KDl6dEZQVuwGb5PjKuS8XTKzYM3eP8HDzk9W2JtIqogzulLRwwdOnlef+0mL7x4i6zI2N+5gbKB//Uf/SPGWzPyomDvygH7sx2eHj7l1Vde5Ks/9TM8+vgxb37v+0xGWyzbyHIVaVyicR4XPDpF8Cv6ruHbv/E+e6sz/t7nXuD1W/scLQ55fFRzHM9J+ohX9IqrE1gA28cK26k/Vp7+52UoJS1slBbBhBHlpI9RfNxsJh554ssBSdCYOBgQ5rndEGQlpsrjXLcpeGTt/7Tvzx93TD/6NdpY1khIShDj5XaYAi4cudf8J1gXH4EU9KDiHZb4QS3I4N8T4lohlYjJgUoYi9A6vOP87JQb127i647cGN545Sf48pe+RFmMeO3Fl3j//Q+GBc3zlS98iQcPHjBve0wfuHKwz0/97E/zq7/6qxs+rfeek5NTmqbhypUDRuMxMQrfqmnaDcq2Rs3WhPnLCM5lddx/qPHDkEKp64Z7YX1N1ea3De8nKVBJCqw4RNfruA5kHwrDH1FZ/yjOllxrNRTEskZKVJveeE9duXpAVZZcP7jCzRvXKTLNg7feZDSeEJWgP1prsTJICWPzjeAgyzK8E0GRNfKefeepypLpWmGcZcIDbv2muF0XTVopMOKXGIbNZxhacvIM2UveWiI4WH++Nfq42XRwEdhtlSLgyCqNMQqjDC4kbCafp+u6Qdxm8CGwWq3oum5jQPtZx49FQaWUxmS5tPuSJyTwLtD1HqLHaDGEFG+LHpUYyGceyRQD74UAak1G17SE4WE3Rjg2JOEuOec3N5tWiu3ZlKoqxWQxJSJqCKAd5KCDkWGmFb2PhOhkcVWK0/MTQoRqNKLIS2Y7OzjvaboWlKZznqTUJnA5RujdavO5m2bB4ZNzHj38iHbRkJMxKbYoTYFN4pbugygq+hRodcClSDIKkzJ0KDFB40PEql52PjES8TQu0oee7Sszubm8RJdMxzdp+5a+qckSn5hg1hYVCoGG66bFGEU+SLr7XnbOLgR8PqLre549e8Z4VFCvVmzPppyeHItBJokiL8msxmIxeHTy5AZpRfU5LkQ6BXlW0HeO4+eHHFy5jlaGvMw5Pl6yu3ODDz48Z3tyhf2dA5rFOfde3mdSbLNYnrCzM0Fb4cFpApNJwc7OhP29XYqiosgqsqzi8aMj3n/vYzQZ127uUJSwWK5IrSMvKlSXKPMcazKatsUApvcYNRRUCVSMZPR0sUOFikmp2RpluLbGJjGLLaoSn8C5yNlZx3e/9x772/tElUuRQqA3XrxcgicziVGZc/XggKOTU45O5/iQ8L0nz0uyLKfrHOXONovlHOc6zMA3tCpRjjKc91zd2+YXfvHnWazOSSS2ZlvcfuGn8SlxdHJOMjl3X36FvdkYi8TQ3Lx9mxdf/wJPPz7mvQ+e8PDjY1a9YdlFVp0ksisV6ZpT6tWc03YbExaURSD2h2xlPVNj6GLGdFRgjKdun1KYCbO8xJy36M+w8P95GJm1gyw7o+sdeVmKUSHS2s2sQqVAjI4UPLrIZLPVNIAYIBoLwXtpjV+iKij1qdZN+uORijUvZP3n9XO+LhpkMbqwNli/LqULqb0blE95rjftFbf2t7tUKFygBLBuVZmBpyLdAKE7MLCGguupY+B8fsLNqze5+8JdXnvlNUZVRdO0nB+dsL+1jetFrf32d/+AermiCIpnx2csdyzz+ZzxeMzp6amgLd6xu7tL3/fcunWLxWLB+fyM09NTFosFzgnKB2xUaMAmkuXTBpnrc/2ntTb4Q0q/hHQ41NpOJg1/hjWysg5LVxtkSqHTYKwrWS7ySnVhSrMuxmIM0uT5Ecfj/EXIuTGZcLmS3B9VWXL16j63b15ne2uL2Wwm16Q+JyWHUpLkwXAfuUG1bgfUKs9zvBfDzbaOWC3Hs/azskYzGk1QKVCUOfPTY0ZVPnhcCb/JD04Jcp/HQWE4+JjZAmsUPsixiOdi3Gzgrb1QdIbgNtfODIR476XFGGOkruvBQDvx/PiIra0tYkQ4n8qQ5wWQ/sRihh+PgkprirIiBkM0CmugzAzjcUVwDcE7NALBjaoKa3LCssYNH9b1Imu31mKsBCRnDJD0YN5FSvSZ4yKzSFxfJ0WONp3wjIbwRW0yEjKpxBQkFd1mGKvJEbKetZpxTNIqCZGmbclyMWpsu46qGksh5UV10DtZoNqmBSWROqeHZzx574TmvCbDUGQZRVaSvGLed/RRgqBDSjgVJLAxJSEkaVEnBCI+eFnw0xq6j6ACLnqme1usVg0ff/QYXWjCXc+4HEmmX+9AmwHmVAQvu09piwoB3RhFno3R2tB7uSmTc4ynWwD4vsFMCnZmE166e4db1/aZTiagDU1T0w+Byd3jBbFf0dYNsS1YOUNe5dgs0PcrEo6XXn6Bs9OGalIw27nO73/7PebzY+pVz83bt8lRtPNDXDtBFZqXX7rCwdVtplPLZKKpV6ckPFqvYd+MrkngFc8er3jw5jPejqf82qrlxs2Mv/rXvkBejTg5WUk71mr66CT42lj0sHWPIQiy5Hp6Os71krYZ0XXbTGYFpuyxBrLKc3R+IiTkVDDSBc+OWhQ1QVnZtRtDnhX4riUF8V5ZrRoOD5+TkgQtF0VOt2rIS4tzgcWy5v33zjl6fkZMkNsSlJjLGqOJSXP7hTv87b/zy3z/279NUY5QJufsfMVrr36BnZNTyvGU67fvoGnYqioWZ+f8zu99l3u3X2I8mrG7E3n8tOHJ4485XnQ0fSRqaTMRVxAjCst4sk2fGqLyXDso2asTp6EkzyxkvbSa+55ZlVGldkAx/gKMlPjlX/h5svjv+O7991AmJ8srtM0xWhaHlLyoiHOLzjOarhf03GqUlmKlbVvihn4gRcjl9VhrfWHv9iPGeoH5dMvnMuckhEBVVZvCYhOMPbT81jt+78WhfJ3LppQUWWI1lzbI9h9qLeWFoBXei3JMmeE0RSziJzQaj7l69Sov3LhFqTL6eYerW1RIYKGrW7qmYXd7m9Fsm7k2HE9GfO+DB7zzzjscHBxweHiIMZY8zzg8POTu3bsALBYL5ucL5vP5plAyg6L5srz/8obyh32eTxdEf2ql4AbOuyiiRPyxhgjFLGfTnty0/IYCVgtPTRRvF8eilJgcixv82olcDK3VcN4VSfJgg1zDzOohiFgzHY+5dfMa16/uc/36NcZVRVlIh8L1LbOtMUkb0qBMDUEKF6UvitTJZMJ0MuHJk0eS3JGgyCzTvb1NvmfdtPi+5cruDGMzJuMJ9WLOqKqIUdSBWpsNYlQUJUr1Q4i7wXvxxUpE1LpFCuS5vP/ajHgTajyQ39fnr2ka1pmvZSkb1jzPaZoWa3PQ2aAOXXe41tfis40fi4LKD67nSounhNYlRkkosdeRLgbJ6bF2WEC87PSi30CEa2hOrOR7lBIVgxlUeClJP1eV5YZLBeDi8L7WgHcEJ/E2ceBgrU0OyyqjyEu8MyiVKIqM6XSb2ikODw9ZLJdUVUU1Hm8I6M7LLk9r4aWQDEpntI0j+ILVyZLyFKbFjuxKu4hLngh0rsdLaU4gbWI9fBxCkb14UA2YKSmmwZVJ2pFKJaIP1HVLDIngE/vX9ljNa6aTKZNqwvniGUpbUlIDT0h2lz5E+l7UIEKYlBgf5SS/zypN6sUk7vaNAw6u7EtMEBLJsjo9ZrFc0PU9WZFzcHBVAjH9Fn46FuSvnBCVYmuroqoM1ahge2eXvd2bdF3Jkyctp3PDb/3W7/P8+SF9V3P71j77VxxvfvebvP7abX7i5S9yZXtETDUnz0/QOg5O05rMVhhbMir3efzRGf/0H3+Lb33rLaqixIfAX/nrL/ALv/hzLFYK9JjF+Tl55gm9Y1KV+DaSgmcxX0hB6wOL2tH6yCIVaFOSl4Yrtw6489oN3nr3ISpFtndmLBb1ZjffOc9ZnqG1kYkMjQ9evFOURqnIalXzwfsfoGxBiiKzNyaTMHCtyfOKj97/YCMIUBr8ECDtnCMvCnZ39xhPtvnST/40k1JjcFRlwdZsxt1XMuatoxxvYc2K2Ne4kPjc579AZUa8fO8n+Pzntwnxt3jrwWNcF7G2IigI0UGQSIboHXMip21LNhlxkJfc7BT104yIpdea7Rs3GSnLraAZPZpD/JM5Df9ZHUoprl6/wpe/9AVihHfe+wjXtpTTGWRiUiyZmGLeWTvxAnOupyiKoc3X45yEcv8oD6mNl9IP+f6GZzq0bzbmu5+IHZHwbX+BjVkAACAASURBVG3SJiOvqqoNj+oysRguvKPWSJSQjQcvPj6JUAGbRe3T/76Om5GAY40PiawomUym4jfoPQaN0Wt1qaIsRviUeDo/JysyiiLjzt17dFsVv/cH3+bw8HBTEIUgqsTT01OqquLZs2csFgsxwh2EQ5dNP8uy/ARpfn3slz/T5XP6p+VRfeoqDl/Vpb9f5kjpzfcv/q5ApaFFPATIXzpWJUosrJWOTEuk66UFLX59SagpYYXKMpTJpQ2rYWdnxq0b17l37w5VnrG3swt4MqtxrqOsDNNpxby+OCdxzT+yQkpfI1RKyXpOSlgjPKe+77l27Sp7+/uEIDFCq1p88Oq6hpTww/o8Ge9snN2F5jN4S8UkakECZig8Q4oE7xBjcL0BQEL0iHGpbKxFPCFh2F3XbRSExhiaptmgqzEl7Oae0ENLVfzNPuv4sSiout4J8hEDxCBJ42GdHC07JJWEuBecJ/iAazui9+KKPhDJ1jb5PgRsJrYKwGbnJ9b6Q5aUMWvck9GgREoxUrdii6+0psgz4gDHV1WFNZpVEKJ7pTOm0xFnzxd0w0S4s7ODwtA2J6BzQgrCQ4kZIQgCRJI0b6VaVl1LV68YazYW+8l7wuDBFJVk/3kk88/FSIiBGDQqgUkCeabBdE2jyJRQHDWKqig4Oj7BZIqrB1d54eYtjs+POT+dAxIIKeZ4gTCE2hZ5BgTazg1XJ5B1HVrlQzK3oqxKUugZ5RV3rr+ItRrftQTXY3JDymB/57rciFpTVmOmoxH+xnXGk6lkdGlLAIxNRBwuODAZZ/NztLW89c47PD85IZKEJ5VDPX/Mz/7NrzAZ5xiVsV2N8HXH+eKU0ajAKo2LEIKibS0xKI7bBY8f1bz71mPwFUlPyU1k1ayoG0NTz1ksW+aLnqfPTmhaj8kK3n3vB/zB99/ilXtX+M+/9otMRgX7+1cwTcvu1i6dC6yaQNSKV199lTcfvE+9XLG7d52m6dHW0NcNAGfn52yNRviBExGc8PVkUpQw75QkKzLLcprOidsvmiIvMSanbUV5orQeYHFDYTPGWzNm2zO0qbh//z2++PpLbE8K8sKQG/FyOT5Z0ETN/XcekNmag92S3e19tqoJvnbce+UnCF5TlRVt24lfUmhxw0RslRXyaookClpKyis3sD6xVyfeO56jbMEq5SyUYufgClfbwM5bLTz6i4FQpRSZTAreeONVRhPZLLz7vuQvYnP6EKhGY/LRjNoFcAGrIl6tkSA3LCL6E2jPZcLtpmgZvL3+OA+oywXD5QJJFghF24pKdrUSjys7RLgAG8L2uqC6HB3Tdz1r/pVS68Vm7a5uKMuL4mmNDq0LOzH11FgjVIimdyzrGq8DlS2GEHazMRUo8oKIzH99ipQh59XRbbrdJQ9Pn3CIx2SWzOTkRuLFVqsVi8WCuq4HUvxFcTn03DYI3vq8rFMe1sXgjzq/n24L/rDxaVTqk/yp9Kl27VAwDW1cee26US4cxLRu5yUJYleXqBqXkcgYAm2zwvUdKEWRSfdBTGUDRke2KkOeW2azKUopXv2J18nzkvFkxK3bt+jahizTjMZb9G1Dnpe8+vI9vvWN3ybGTK5KSpLdOhhqC2IZODo6osgz8jwj+QIQXlTdddy79xLb27vE6CTOjICOnmZ5LnNZllHmFmsUwQvnSmnNyckJRVkyGo2H6yTHD7KuN2FApIYYppjiEEMjFj7ioaZRWKpqRIxRbCKyAqU0vRti6LJcjLEvO6MPqO6fJP/xx6KgajsnXCHvib4nhQ4VHCpKQK3W0ixOKeJdT997uqFvLk6pEhCcBizcGkNVlFSjEVpp8U7qe+qmwRgrxRHDjZ6GXMBL5MsEQoxL8lBXVcVoNCJFD95D22LznF1t6LdmPH73B0yLkmk5om4dZyfnlH1ktr2L9wmtLH23ous8TdPjWkfbdhyenpB1LfmokgUWJco4Ei5GooLOC2IVSZJ7F9feJQnNBTwvt4wiaYOJYkBK19P1NTpXbO1MaDsxCl2eryiKgXwfPH6wpXA+YsyQyh57SJGyFGKo0ohHV0qg5Wf1qwVzFZltTZlUJaqwuL4dwjClELZFgTaCxoQkeYYk8L2giBrFsl5QjCuyvERnBb/9ze/wb7/xbfq24MOHH3Dv3h3+6s99iZfuTLmxf8LZyXNOjwve/O59isKyd2WHftmwrOcURYX3Qrjvu4g1OW9+7yExliitWPoVmTY8b7Z477jiG996l+/9f29RVROePX3KdFpx7+5Nvvjln+Mnv/oVrl2ZsjMb0S4XtH3g8ZNDpl2i7noefnzI8emKYrzNZDImJok3qooCpQzBebQB19QEBSrLCc6R2UKIvUmjjJCYQ0jEtsOaDDVkailtyfOSum5R2op9R4jiwVKU6LyEJG3N999/wj/+J/+Mb9+5we3r+9y+cY3JqKJuWh689yEffvyUk/MlSq9443M3+JVf/rtkOlAVJToaHrz9Lr//e79Ds5qTZWK0F2IiaQ1JHPu1Unid89Gp4+1nHb7r+fB5y+mqJuWWbPs2h13L4ePIh0/m9P0S0l8MhCqlQO8WVNWEO3eu8bPuS7jQ8b37DyiqMTYr8K4mhZLZZMLxsyOM0pT5mK7vhjSAfuDACHfkMjH8ckH1R6FX66/ruJHLhcPGZDEr6HtH0zQbJVOeF0MRtFblfbIoM8YOSj+/KSo+WaiIFUOW5Vhr6bqWlNYBvGpDHtbDPFAUBYu65vT0jFk5QxWKHCsGyEE2zTEEVBB8JkZIXigZHmlXjrsRZWgodyd0oaV1HXPfoNqAD0OBavXGriElmcsvF62XVY2Xz+llztn6nP5Ji6kf9ufE2u7iMq9KEJf1f8JGvxB0qAGhisiztM7Nk/UrDi0pQZu2JmNp6w5tPWMUVmuq3JKZRFVmbG1tcffuS9y4cYN7L71EcKIyvX71gFW9xLkG73qK3LK7vU07ndK7nt5bTDa0QNP6frsoSoV3l4TzbDS+77FaMxqNuHnjJijFYr5guThjb2eLbCCNZ7khesfK1VijB7uFgac12G9Idqx4QRqjN6pXazUhiiJSrNyG2PoYBmBEXp9X23Rd9wlFq9z3Oaenp1y9el2408Pn8D4QIhsl4WcdPxYFVe9EVhmDJjHY3EfEPj1FdEJgQe8gJvre41xPGE68AsxgUlcUAxG9KMXiAIQcauwgo802JykOBGytNWWRk5IQrl0QOwalFZOqJPUrQp2RKUXhHSZGMh8ogKPnzzk/P+f6jVsDZOxE9vvhR9x58R5G52RZxXy+xLvIfL4iMwVnZwvOzueMvKLoHZlWuBTwPuJTpHM9SQvhPCKKQ5+kHxzXfXYJC0El2dNIul1CJ4WKERcd1ahiNC4ZVRWuD1ib03einCzKiqapcb5Ha2jbXkzZrKEoLD4k2q6HZAQ+zQxK6cH+wZB8T7NcUBhFrkV9QkwUWT4E7ha0naPtevqQUMbSth6TZZA0sXZ0OpKCok0dJ/OG9z96zqNHJ/wXv/Jf8ub3H+Kd5sWbN9i/ssXpyUf8yt/5Eu/dr3lqb/LP/s9/xtOnC1557Qo/91d+hmcnK5b1fLAVmOBCxtniY77x3d/l0eoZ6ERRWNoYWLZ7/N53/oA337zPxx8/YlRt0bUdKXgeP37K9Wu7jEpQqefRo484ef6c54+f0XUdj5+dglFENMqUbO9fY1RWxJTx7PCEEDRFkZEXGSqAd5Z+LSFWCpUMSitym4nYoalxWZC2cxJFWL82IkTTtoPrc1QCmZOTgiEFQ3CalFtOzxo++vA7fPPffJMrO1PGhaVrG7Z3djhb1Dw5OmUy2yMvEvfvf4dv//59/rt/8A947aWXefbkKV//+r/ivfceoJQnxZYUtRxnyvCdKHCNgiUtb34o6KpOiY8Pz6k7OGkW7F3b4dd//dcJKadH4w1CwP2LMBQ4vxJ1qM147ZVbXLuxz2vff4lvfut3OTqZE6Pl6eMTclOSm5zOeUyeo7Wh7Toh+So1xFCJ3FxQekSWPkRjrTtGlxf7y8XAZpN1CZ26XIxdSMTFCmE2mzGdTjk+PgbWC4ogNXmeUxTlhmAeBv7V+j3X/ljrsX7PvneX2kD64v+RpC+SNqzajtP5givbDdNqCtoKx3Q9z4VI8gEVEzqKJN7FjmRgb2+b+4/eYTyZcHJ2JkIRA7u725wdHeOD2OHElSd6j0YRUUynU7TWNE29OVfe+0+E4H66FXj5vP573RqX2odpaOeuC6JNAbX+frzAp9Y31nCVSTEMebfSXAnBEZLQPDb3RdD0fUeM4n9oVY5VYIyiyg2z2ZTbt2/zxS9+gd3tXawxOCQKzDkHgyo1hMioLGiac46PnvPFz3+O3/vOIzofSFqTBgRyrc5b2xw09RI/ACFKKVarFdeuXeOll+4ynW6RaU3ftpRFCa5D5zmuq8m1xppcWppai/rOmIu1OgScF860tUOA8rDh0EqhzBB6zbodGpH6Nw0K/0Bd1xhjmM1mhJA4OT2lqsaMRiOpP9L6fhCQZYMM/llzSu962bWTEil5VLIkAgkD4SL4eG3G6b0XkuxwAjRKLA4G0pwxFqPFWiEkQa7yPKeoSkaj0Ybfsg6gDUF8rVzdonTA6ER0AYUUFm3dU9c1mRLoOSmFD56zxZx6uSAEqdTbpiVGqKoxP/jgEXXzNrs7+4yqLVarFpIdjEsVfRdoG0fyULmelBn6KBwpnyIOSCHiY8STSEoRE0TUxv01pgupr0YNu7+IES4eViliUjgvrcxSZzgXmC/OGU9G7GW7GJ2hdQBl8D4Rg8eM5eZCG0IMhGEyi8LRljYAkPoOTU7fOZaqkUIsz0FZ5vOaujnBpzWWpimqMeeLOb0P2Cznajbj+OyI2ZUZx+enhDzjJ3/yK7xwL/L//sa3aZ3mysEVUJGzkyOuXyk5fHbC9tVX+df/7mO+/7Dn4ZOG33/0iP/tN47Y3d1lPB6RZ4bZ1hbjccVyucL1YQjvTChEerucL/jmN77B4dMTvE/0uoMIq0XNh82SrWnFanXM0eFHZCZhtcZ3jtnWDGUUeVkSk0ZnI1zvyMqCg/09ppNtTk7mrJYNmRHT1azIcUFaE8pmKC8LpPdhkNIrRqMx+/sHfPDRY/ooBX1MUZzlCdR1R5XLxBUpCF6hM0tKlpgyjFFAifOBp0/PiK5Bq0RRbjOZ7JGdO9oucXS6xPsjnj095/xoyS9/7Zc4efYEDXzu9Zd5+Gv/llW/ovcRsgqTFfheJnmbadpQc1QbVo8kWPv8LJJYcdqcsPXRHsXOPeYrTdvVwNlfIFJ6hNgN11tWt51pxpe/8DJ7s5IPHz3l4ydPefTxYx5+8DFaZ+zsbLGzNWbV9jK3BU8awtxj6PE+oJQ4QhMFjUAHIuuW2x+9c77g16hLSIwWk98Iu/u7PH9+SFVVXL9+ncVisSks1sT2tTkmDKHuw+59HU1jjCHLsg0KtEbG8g33JW4WXmstKsuwanC3jpH5asXZYs7udAdvArH3FDYjtzm5zSiynD64YQMdZW4fFbS1BwWZ1SyXc/JxgUEKobZp6doW7xyhH+Z5rTA2w1opDMfjKSCb9L7vN+vB+rNfPof/4fhTafP7xU+QQkApURLH4VytOUjrGCL52QFRmA/rUPRo1kpF2WKPyoLxeJ/Z1pYYSw/nXxsLoeHeS3e5c+cud27fpl7VdJ0UN2VVEIaNdYpaCOnakGc5am+P2dYepX1K9D19L2tzNBqnEjYzkCLL5Zwyt0J16XvM8CE/97nPsT3bYlXLnKiURI1F1zLKLV4NxZBCMl6TJqa4QZS01mS5Jc/1AIiIz2TfuyH7NaCTFg+0NBRY1mJNiRoi0nyIVFW1QVu7rtm0CSeT6YZHtS6mJcNP5lux+vls48ejoOrcUCTApi9vLAqPQojRUqV6MdlKcTgxmhjC4IIrD7LOhLhu1jLYGImbhSvSdw1Zng+qANmtqShF2XpiUEmRrJDgtFJUQ7Cjc462d6gohc7R6YkoEJUZ1HsGm1dcPbjGs+ennM1rzs+XNHUkRoVWIkvuXcC5SN8FNHJTGhKehEuS0BURl1efEmFos4nij8uWL4SUMGqI2WH4N2RfE3zELZYUPmOqJ4y2JuRakxYLmqajbR2Z1VTVCO8dMYk1QlHm9L0ns4Y8N+jMorXwIkQ1IRhZ1zpsUeBCIrU9ajQi15b5quXo6IiyGpGUQQ/cqMkssVg1oC2pa1gdnhLwfPjwIUf1GR8+f8o3vv0/8/BwwXgyxfuC11/7PDdvXOGD+x/Cfcf1z32No+fP+adf/xc8Po20yRL7iHIdjx8/ochzxqMR9aqlKiu6rqdeOWI0A9Ewk7PjYL46IQbPuJqgkiYoQFu6rqbvAqNqC1TOeDriYH8P1zrOz+akpKibnrZzZEWgHCl6l0hRi0pksJoIDpJSZLmlazshPeaZrI0uSn4jkcLKtfNejAmXzdmFQiUEUhoK/xgHQzqIIaEwrE3/jMlRKiepnt61WC2ZffcfvMut23cE2bIaVMFotMf5+TFvvvU+r770kP/ql/8mu9MR/9P/+D8QvWwolALnauE1pkKuf1Jo7Qh2TGuuUK8CUQW8W5LhODo/4+kJYHchK+l6+BNs7v5MDyGLRzKTIHa4tkOZjO1JTnbnGnduXyXyJc7O57xy7w2+9737PH7yhMlsi3I85d9845u8/eBd0hpLGXbbCimCrFWEoIb8vvUkcDHk9RcFFHyyJbdudYiwx5ISdG1PkVeEIHOFoB4y1675Umui9rooWhPSzbAwGpMNQcV+Y8Ww5lyt0TBgg3D5ECirEotG54m6aTg5O2d/tmKUj6iKgmIopDJrURp619O0jRybMaTCUKacF27f4uniiMwYAdCt5ejpIecnp4I2D+7dEchsTllVm4iSsiwHZE2EQ23bD+1R+FF105/aQmF9rTYMKbUpizWi2EVrohkUdKwzFCESKKx0JSQ+baBVGM1kXDGqSg6uXCHPLNuzGdcODtjemaGVpihLDg6ucv/N77C1tcX+3g5NsyJEz2QyoixKqqrg7KxDr60llML3PWVeMZvNeOONv8Tz5y0P3n0P1XtiPwQkoxBg1RCCoesCZZaRtMOoyO1bt7h69YCTk2PCKKPIDLOtGZmOQh4nSXRYlKSS3GaQpFvinUNWbY+LkiqQZRkxOZSyOO9ISdp6Sl20B6WYX3P/DHlegjMbuwzhDHpG4/FG4akGZbjWa/RLDRRrI12azzh+LAqquuk4OpuzNa4EzVCy+Clt0ORoDXkmOyGfdYTekVtHYTRd22GzCrVm4g/FhcSjCHPfaCu+VEoe7KIsN2qUtm0JTSdp00VBBkJyLApASIR938vOTCt63xNjYlpsUzcN52enpKRxfaCsDMtFjfeRgyvXKKuW09Mlz5+fUK968myE0RmjakqKhsl4mxQSzdArds5LCGVKSPavwNQ+Dj1h1g+7QlmkQECKOxcCmkt97eHx3dvbYTwdM9meEJXhfLWgdSJdPlvUjEuJZlA65/x8wbVrB4TQo42i7f1Q/BkYBVAC33ddj9OK7e0rRKVZdlAUltRB6zqKIufOvdcpyxFJKY7PFjw66nj+cUvjc6KegK5YdE85O1/x9ttPefcHT4ixZLL1BjduWOpmhQ8LPnpyzPHZKUUWMSrw3//Df4hBk1vL/v4V5vM5XdfJxOkDfStEx+Pn8yGHzOBdQKUJWhlilMIwU2NevHeD54dnHB/NabsWk1VYnaMyzcOPnvPlL7/B3//pv8znPvcqEEk+8n//8/+HB2+/hTWRazvTgbMVKKsJo5Hw1HRl2Z/tcXh4TNs6mpSIuaH1HZaECx7lPTYvwLXUqxUP6yVPPn6MshlJF8SQGE+mOB+YL84oswzX12hlCDEjRI1KwrcJwRPJ0JlGe4PTij4EylFBnucsVgs65+m6Fm0LVk3OdPtFXLfgnR88AVtx684dvvY3f4mAJSkIJL7/9kOeHM7pG48JDpt6Um5IZkmuE9oiCJm6y7Jecf97c1QGtlqgbAIVPkXA/fM7tDLkKiP2DucaRllOjB3L4xNSSoyLEqU0k1mFP3/M6y/u8tLNKW3fk41GHOz8PG+9cp1f//pvcnx6SpaPqKoK73u0QQQk7Q+3oVgXU2vcQ1owoiwNQSTuwQ8LhBYicdc5XnjhRd5++z4xRO7ff4uuE5L6Ws2ntcxr3g3O1cbQunbzvTWK5X0ghDgo+YRnJTwuIQyvd/zOe3wK5Kmgc4mxrThfLilOj3nl7svMdneJnSPFRO8c3eAHlxnDJCvxRWTVNbR9z/bOjPGkZP7olGa1JPOWK7PrzI+PcW1LlReospL36R1ZnjMeVwgq5Yd8v4t23yfJ+2rTLoKLFqpKbIq0hHDN+BGcqR82lJYWvtYGjR5ae4I4GQUxOnRKEndF2rR8UYq+rxlXFbu7u8y2toY22kuMxyOW83Mm4xE7sxlFkYnNSwyCsgxFYEbDyy/fpqk7JqMclMaMBAXMMksKjhREGay1KNmPTg7pWkXXwqSs+G//m/+aVdPx61//Tf7Fv/xXJDRFVuDcknpVD35nCe+hMPCX3vgc/9kv/SKTyYi97TGZkdOVVRM0gd5C8h3aJEIrCGcMYWMbIkrMhPMNPjlIiuADbXCEGImBTZ2AthR5NbTIRXShUBAVRpdofdHGzrJCQISw9pmSjZ+1hvF4QlmWLFcNbdsCcDZffuZ54MeioAJ49PEJX3r9RXwaSGUpklQCgygdVMJmhbS1tMEpmSDGWU6MZmhLrYmPkjMk6dNBsgG92xiRXQ4EtdaS2yDBi0iuXGEt40rMKduuIxoF2qCIwnMJkUCi7h1x8Pboe4/rHb4P1KuaZtWS2RxjLGVRsZi39ElM8SZjw3Qy4+x0KX5H1tAFjw/S7vPDnCncxEH6yfrBHp7hQf1xWQnkUxrM4GDdSzZZzmg6ZTzdYlXPOV/W+BjJtOTEaaRnbIyi70XZJ+q/niIvpO1ApC8M+dD2kxsTOhewBoyS0M0Qpddd16c8fvKQ3d0Dmh4WdWDZJN5+9wPe/eApqyayXHVo66jbBYuFQ+sJJjccn57iXKQoC/JiJIqRKEKEvZ0JNgiMPypzqmrEZDxitVwyn89pU4dSFq/E+yuEAf5VGmvXwR8iI3Y9jKqKvV3F0eEp1lhG1YjzxRJUoq0dfR+5e/cV/sbX/hYpOb77+9+lGk9pu8C40iwXK8QqKEFIdKsVk/EW58eHbO/scPvGVd599wOu7u9yuljhknAEz88X5EUhBVE06DwbuCkeow0216ghP1KMa4M8CwN8jRrQABwKS4y9FFga0ImkIlWVk1tD29S0iwXlZAubWSKRvKhY1S2x7/mDN+/zf/yTX8X+vb/LyaOGd37vQ1bO8/T8nK3rVxnv7OHDMbiIS0L0pwqMc4vrHJ1vKbMRW5MRqzYSUodOiegdSRrD/1Hmj//kY3gmVdLopKRl6wPTaiJKSWulzeUG5Ntq4cSRCF3DznTE3RducvPaFRbzBd73GCvxLQMWyQV5av0DP30Al9t8n4xVWY/lqmavHONd5Gf/8i/wrW9+m+l0Kn5zeUnft39IWbhpeQ05fUbLhldrNsq4EMIGzVoHLW+ObN02GwoH1zakoCjzHG0NGE3dd5yvzpnkYxEZtR3OtZRZjkmKrulQY8t0e4tRrnh8+pz7b73J+fkZ1mis1pyfnaJSwvdObJ2MISZZC0xmxMhxEB9dJtbneb5pia6P9/JXIaSHT/x9TczWl/lRg5k06g8XV9J8kSJKa43GYJT4T2kgG5TqpIhCUGmlIlkm4MDe9ozbt29z48ZNtmYztrZmGK0Yl5ZJtUdwHlJAJUmQsEY2ymYAHZbNAu86qiKna2usyZlub6OH69h0HWWRUZU5Sokx5qQakRc5Ci2t105yRl9+6QXuvniLJ4dHZCrgYs90JIVcDD1X93cZFZaf/Euf5+7dFzg7ORYKis0EUSINyFkFKef89IimdVSFITi34YSJIMrhoyMSLiGIIlhISW26SClEtNGEIFyzoizI8wld52iajnhJlLG+XhetaDO0rvMNKnuBtBq63vFZx49NQfXhB0/56huvDPDnkMMdEmngkvQuCBNHaZSxYCLKSC5WSgpcIA4mdTazFGUhCE/X4rqWuq5pe0EyRqMR46Gn7/2Q/J4UmbZ45TApkWlxUXWKoe+raJpGSHDWSEsuJfI8o+1gtapR2uCjou96CV8kCZdnNKNrE84FUpQdHVEUMVU1ommWxCAKPh9F0QegkiIqTVJRKBpDTlFKMjEllTCD8k6ldKEOUYoYFT4mjk9PUVajrR7CiRMuSvGlI3ifsDrRDnBp07QUhVjxl4XsSlFixCBtAsfW9piuqTk9fsZstiVka+3xRvxHiiLHh8DJ6QmLZU8fLH3IODk+ZrWaM5ldoZpMOD455ux8iQ+GLEv4ztE7I4ijyfHRg7JU4wLXzfEu0NcSJjyeZOTlhK2tXfqdKU+fwPPnxzgfyZQWnlKQiS0Ku0IM8YJM7L2L7G5vMxsrvv8HbxOjkIFjSFTjEavVnLff+QF/K4Iylq3pFi/efQljM67ffIHjww+ZjEa0TcP+7i4AVVGxs73F7vaEFBWt81zZm7JqO8rcYKLmfFkL4qA0aeDwKa0wVhF9EoffvhN1at8PER4iB7Za7gWl/LB89igMMWmx0tBRAp2LDK0iznckIjbTmNRD74nO0G8lzqozTGrYqmb8m9/8FstHCybliLZXZJMtdsdjYpmDhmAMPsoOPSrxo1JGy2KoHSG0ECOTypDlI0Jq6HqPC73cl39RRkLELAlyk+GTGcQgkj8WvEdjsFqMLTOlqbKMYjJm1fVsjye8eOs2jx49Y9n04h8XkhjMKhHQfLazebHJulAIyneyzBBCTzWq+Of//P/i4OAax8cnFEXOzZs3eeut+1y9tocxirpeoPWaJL/OOQWTi82MxIHYIX3iosX3aVPMtYUC65aKXAAAIABJREFUKqKiCH8UZpOf6qKn7mt6Am3sSWh86Gm6hqZdMR2NQWlS6AHDqm559PRjnh8/J1oYjUqapmble3JtBqQjobOMvKgwRSak4xhxfb8pAC8XVetF9Ifxpza/lN5sbIYXbPhQ63D4cEk1uB5rA0ytxGRTKz38UoO8KOKDwxA3HF6jxa17Mh1TlSV3r1/n5s1bjMbi4zeZTqhXS/a2Z0JO9wGxXhBDS60N1iisVqjc0nlRw1WVoDNGDRl71koxQiIrMjIr6l7v+4E6o6hXK6KvKasxxJ6XXrzJV7/yRX7t17/OyclTzBAvtrs94+qV21zZ2cGoyHRS0jYLJqMS5zyTUUXXSaSVssMqH7zkPvoCm0kcTV4V1MslNkTyoiRPI3rXorVwrNY0hzDUBkSF1pkU/FHyfnMrpp2+X9K6nqjW0TRanNeHtve6xZdlgtSJqCJt0Ne333v4J5oCfmwKqvc/OsSs/aCSEDRjEtRDZnERmpmBNBeSJgzmW0ZpstwIDBijuFHnOUlBP1grjMYjTGY3O6kYAv3gXRWDRyuRuxslfCWdpLAxw4/vXc9iMadpaorRmKZpaXuPyTO6bklZluLS6uXhyzJLHxGEK2jKsqCqMro20PeO6NlwDlJS0s77/8l7s1hb0/S+6/eO37CGPZ65qmsu91A9N8GJE2wnjkREMLJkIVDkXIAIFyBuuDJCgBRF3AC5IAYpKBBxASHISYgzdYxw3LZj3O60px6quk7Vqaoz1z57WuM3vAMXz7fW3qfd7e6y3G0DX+mo9l577bXX8H3v+zz/5z8ojTKgN6j+YDAmqQ0X8tgNLC1JrBe96sbwTy50IZKfzea0oaPtW0bjCmU0qRNIvSwLMeq0njh0bl3f40swDpbtjJ3JmKIsUdrRtZm+bTgYlVithdMx8Hq2WYB9x+HBAWVV8/rrtzmfNxxcfZbYasrSsV6uePe9N6gnFa4oee75l3j46ISmVTjnKW2JthV9DBIs3XRMxmO0tszO5+wWBl0UGBIhLimKgsl0gvNQjTyz2YzFfM163RB6CWvVDJliaaOMTLRdy7/49d/gh3/4RznYP2Sx7GnbBu8LtDIY5zg6OuZnf/bv8cKLH+LKwR591/HpT32avuu5dWVK30nWU9c2rFdLuvWSNx8+IMbAaDyh6QJ7h1extud0vma+XNA0K1xRwUDuTymg08ZbRp5vCB3KFfR9SzeQMlMSJ+VBoDycO4GskpjcZsuBgrhqaGPk1Be87yzRrtltF0xCT98r6GtGa0syDWod0O2KybUpu/tiQDmzkax6ptevce/xQ2If6XMmaSWbhVLolOlioI0tIfekvkHHgCsMq/MF00mBUT1RRZ6o/58UVPkSGpQhD2hVTpLDqc2Qx5kzWmfZHLQFm8khUhiHHVfs7+xT+ZK2V/RJIdnimsFEesu++XbH1uQRLhUDw9qgxb7gfHZKWdb0oeUnf/In+MpXvgaIwePjx/eZz2eMx5WoqK0mIeeZcErs1pdHlF0OhcYaR4psDRklk1Deiw2Hy3nIafDN04qQAior2r5l3iw5X8+xY0PoM6FvyEZcv9exw3qLMpaj8xPefXSf2/ffIRu1JR1XZSkebyGIOa6x+KLAVaWseSnTd+2WfL5BJ2BQeZflU+/h9mMdisM4cBa3P1EMLuEXyr0NMrUdEQ4EZzk9NEYV5NzjbMboTI6IqlNpjFVUpWMyKqjqAucUVenZ399hdzxl5B23bl7FOc9qvWZcOqajQ/Z2Rjx+/JjpZDoUAhd/N/Yd664TWovucM5gDVsESKuNGk6QMGMMTdNgDeQoSFLfd0xGNTkr2q4nhYh3Ba995GWMSjx49D7rpsUYwwvPPc/zH3oGQyaFjsP9XZxKWOfo4+CXlaQIShqE59QP3lIercIwORpsEcyQYags1tZDkeMHWwXhezkrRrAhCLdP0CYnQ4OQUBi0Mdv3RTIyA84XlGUlKQDWD1nAiaZp0PrCnPbNd+5/oGXgOxZUSqn/EfjzwPs559eG2/4L4N8Djoa7/Sc55380/OyngX8X4Ub/Rznnz383T+T2uw9ImKEDcCiThs4McrKQZMYbcyTlQFQWjCakSFKa2hpMMOSQBx+nIdNIK4qyZDQe0XWdJJ0P8QNbXxFZa6jKAmtFdqqVLHqaBCngraVv11RVQUwy1iuKkpxbyrJgtVqjjbip9zGRckSlRNs0xCgEzhQ3OUMZSd0uBPUaiKd6qN4yWcaUlxxzc5aiMiHPi00HGqV7lWprQJKG30pZbBWapuX4+ASl94cF16Jw5GhJytOtLdaOKCtFTGtQmp29EavVnKwyi8WCxhhGZYXThq4PTMcVvnTDYiWqj67tqKsK7z2jscDNo9GIw4N9js8bco5UtefVw6u88uGPcv3mM3zt9m3OF6+zalfC14odGMVoLN5WIa3pgmQ0mqIAAsv5AsqCat8SwhxfJK5eHbG3V/L++wXLVcPJ8RmLecu6FRUPykoopxrUSlnx/tEJr7/+OkXhOZ+1pCj5eW3Xo5UFFTk5OeFnf/bv8C999lPcvHFdeBg5c/feA9rlgulkjDUaUqAsS26+8gKr1Yrz83N2D/e4fus6XdbcffiEpn9ASAUhQR86SFHI5jlC6AexhROkSclG0Xcd2totuVsZR5+SjLwPD1lMprBu+AFl+Iz2LO4/5pGxnBpHSD2jWWSnz8Q6sbCKSco8u1C87EvqYocr166xTD0//q//a3AwJT9zwG+/dZv3j09YtA0j47l5/RarvmXerGlzJIeeSGbdrEldR20sBzsTru6OeO/OCbbtGDmRMt9V8bu5/L+nx/dnDctoA855UtggQ0Ku7fue3CJ+b7bExIiOQEwihjGOqCyrtudgd5/ClpyfHDPaEVl7FzNkg1bx25RST4/7LiNUmwIPhKOTEe8epRJHR4/4tS/+Kut1w/7+Abdvvzk0g24YuRRAIsRONiFbbrP/ck5PxbioQUCxyRDUWlBhBmsA8aaTTU6CeEX2r7KmGYqnnsiiX2OSSGtCEC+8wsoGGdrIew/v8dW33uB0eU5Uka7vyX2i9CV2QKFSyjhvGU+nuKJkvlpJgsLgMv6tCqZvxX96yopCael0s4K0kegjxKgcJUtUy+1PZyZuCpUO7SLWG7xpqapMjism44rpeIccFc6VXLlyjf2DAxQRZxW7uxN2RxNcypAjmsikLikKKz6LGkajCq1F1LIRHiikAepDIIQeVw85fAM3SytNyooYewonXEujFfPzFaoQQYBXhtlshh/Gus26pQ+R/cOrXDvcRX/kJT77mU/gfUnf9xzs76NSomtWOKMpnKBgEU3la4xxYgSaDc6KsKbPUrRpLQi4dbKfWKcHQYMoWjdFulJZRqdDuLexXgyzlQgqvHODNVBAqaHxVOJ7JmO+NX3fQh/wXgw9i7IipsR6LVm/oIYc0+9BQQX8TeCvAf/zN93+V3PO/9XlG5RSHwX+LeBjwE3g/1RKvZpz/o6r6lvvPCBrITUapVHaYbwnp4qcelTsibEjhg50R1Y92SbUABsrIsZZcdWNkcVyiVYKbQ3Ou22XtFkENkfhPZPxmG4tF0RqB8VgjlhtMApUFlTLDV1P2/UkbbC+oFl3lJVnsViQM7jxGBciq7VIoUPsUchG3nYNfZ+IUaDYoijo+57YimEZw+KXyGJklzdBlhdz3w12r4TFOFTwgypEsGdkN2Z4vITzBVYZnjw6xjlHXdeUThLagxABSCmJD1VaUVaaq9f2CaGVCzNGYghM6hFai32/mlakLjIe15DTEKsi3jdFIcaBz9y8ha8mfOPNd/nEZ/84Dx6dcOOZ53HlhKMn5/zDn/t7rCnoQsb7iqQKRvU+xoohZdc07O6M6FOi7RpKA0nlwZ3XoFUrah3XsVjOKcsRo7HhytXrHB7sMJ83nM+WnJzMWa06ul7CaWNOWOPI2fDmW28zmeyjraVrI8YNCF8CYx1vvnmH1WrOax/7AW7dusELzz3H2fEJD997hw5YLRYUzjIdV5TOMC4Lnr1+ldl8TtMHrMqcziSCxQ7vTWg62q6FvkfnCCEOYyEh99ubtzBXrzOe7LA3X1HPl8x++zfIlWOdNa2KxB5qN+bg+vMcpSXpyoTmfE269wCTFLPY4XzJS+6Al4odHlTndC7wXNzlE49HvFiO0c6xjo43mxW/9Iv/DJ69wkkz52y1wBeeW1euMcKjIyxWa9ZNxyr1lEqjt5OPhDMwqRzPXNvnoHyJdnFK5SQx/isnT76LJeZ7fvxNvudrWMZaKLwj9InQC88y9KKelZGXxpdu2PAEKyVJoDlEVFbsTHcJXcKaAoWc5127ZrJTE0O7+VPf4VBPjfs2BVeInfCYtKXvM76ouHv3HebzBW+++QbGWIpCaAgx9kMDGEkpo1UeKAYbHoveuqgLXzOiNDhvALFa0UZGM1rJJmm0mBUbLblzoQ844wlEls2KNrSydPU9lSsIuuf4yRO6VUMymXW75tGTI94/PSaYRLYyYiy8I8SO0GWctlhfDNL4johElIQQUDFsxUgbI+dvNvCEp3lnGwJ6Vlosa4buW6YBosLMXCCD1ughb2+zXosfUlkoUmyoxxMKl7l+bY+rV3cpfUalHmJA5URo72LWKybTfSaTXUbjilHp6VbdkNlqsdYwHlWUpTTk46oiA02zHvy+pBmLMZLIuNJRFIIoxrDRgidiiIQ+UPmC3Z0JVV2yXJwPryjL1KVvgUjXrYWT1SsePbzH1avXefbWdbo+UviS4ydHtKsZVmtKb0h9R7tuKIoCbUvJtDSGsqzQRKzJpKRpm4V8hk4Nqn1NisJ1jvFC0KCGRrjrwvYz24yYQ58AjbEGYwuMLcQEWWl84QnLU7x3IkgrBmsPdXGNGGvhUvSS0oNTgDHcfvcPuKDKOX9BKfX8d/l4/wbwt3LOLXBHKXUb+GPAr36nX3z73QcoLZLJrAyKno1DM9qBCRhKYuiItiPYnhR7yCLhjasTtLUYJdL/fjCWK3WJ935rLLf5ejPrv7io1PbnEhAsMLkzmg4gBbRKqJxw1tL1GY3GWYd3MtuNKQ2mY4YYewkX1hvXWjWc5IH1uieFFdPJrhQfl5x8N6d7zmy7XMXGZO7CwTjnRCaSN35UA0FdDxcxpMEQUJbTTTDq5sLfhKLGjQxa58GQLwzvjSgk+xBYNw2pT+xMAm3XUZpiKAZbmmbNrVu3mJ0dUw6eNbPZjMJ6rl+/xtVrz/L6G3eoq4J6VHD7q29ydLrk3bsPeO3jn2KtatYNnJysmC16rC9R2qNDwJkSX5Ws12fEtkX5jMkdO6MRsWlp18K/KhWMRxZUwNpICCvqccFoOqaoSubLJd1sLcXsAOZllXG+ZN0s0WaF9zVtKyOBjMD5IXRMpiP60HL79m3+zI/8KXZ2xvzQD/0gi/NT/tnP/zw70zHeKFQKxNBz7713eOPrC3Z2d1k3Hb6e0ETFfLHGWoXNCpyhfOEFgvWMbj3L6LkXKF98lfz885xPx5y9fx9zesy11ZoPN4Eff/4V/tSN6/z0f/mfca9dsHvrKif3l8xaS1Nd4+Sa4tqf/TTv/P3PQ2oJ2aLqgtF4F7Na0C9XmNzw0uGEz40OePFE8RGvWevIW7MZaX3OW69/lTd+c8a7izMihrgMxPMVdfYY7VjmgCsNu/UEukBuIzaJJD12LU8eP+T6xPPctStUV3YpdKJvOur3Zt/l0vG9O74va5gSeXdMvaDmGQlyzaCNQSuH8hZXOqwxqCwB5jlmur4FHN5XGG0Y1SNKvyIGscooXE3oehEdfAdC+jfHZOQNt5KMcYhwJnRDUHBPrjKjcUUMG8Q+iss50nRaa5Hg9CRTgmHN3Iol8sXIS9arTWLFxREzaJPpOhnhaS08lZyz8PBQvHfvLs88+wzWO07Oj4l9z3qx5t7dd2lWayZ7O5ycnWBKz2h/yrJb0cQePUjH2q7FZEVRFUzGE7Tz9CnRtC0hy1poh3gtY8zW5HEz7lNKGsVNs/1UQTpEaA0mTUjW4Ca0eoj90qKszjmhstowL4Z9JDIdCZ1lf1oxmYyZjkueuX6FstCEdk3XrimdwxkjhuA5MC0sE6/RqkUXQidxVuw5umbNfDajqkeUZUnfR7zzmMpsucEhSDFs7EZUEFBojMqonEgx0HcdT47ep1kvqetacka1IFeLectyuWA8HpGHfdYXNdZa6lKiYk6Pj2msxerE7OwJVw+vyCQp9vRdy2RU02s3jFiHkeTw3klWbKbwDmuEy9smKeBEjJVxTqJmxHdK9hvnxItKazE63uzdSlmcs4PxqexrbddhtWO96OhcZjyZYExB23VoY1mtVvghog6EF2ideKhprb8nCNW3O/5DpdRfBL4E/Mc551PgFvB/X7rPveG233Uopf4S8Jc23z96/5jzZcu4rgcDSykUxLQyopUlZyHRKV2QdUvqGkGmvIe4IoUOFcWMK2x8U5DiwTqH0xeOvRt4eiubVULANtaio6hVrNUUOLreiG9F4QkpUZU1ZFFklV5MFuu6pOt7jFVYqxms3ilKR1iIGVpK4vbarBuadY93JdPpzgUHSm18SfR25pvzxvlVkQZndHSmi9KtKq1J6WlmxWWoWWz7xXKiqiohm5cVMYrtvraGlCI6gzWSJae1ZT6f0/eRovZif2CFy9NFcet1zrGzM2W2PKfv1hwc7JNCZHdvl+OjI6ZXJhRlxeNHD7l+7QrnZ6ccHz0mho4cOj70zE0++rFXcaMb3H90zq998beE5xCC+FqhKUY1WSvWXUe7WqMxlE4KVOc9voCiVCgdabuGEBLWliIDRgKdUYmmXbNcLRHJqCNlIcZqLQZwq7YRp/yhC8pK4wtL6DPL5Zq6mvDMM8+wszOBlLhyuM9P/dRfIPctX/iFX6AuHFcP95jWFXXlsRreeecdDnamVMWI6zdf5Gt3j/jNsxXqM59j5wd/kMVkzM6jU0JSrK3j3HjO3z/l7N13UWFNFTrK8xk/9rHX+NTnPke1nPNXf+av0U48v/XeW/yt/+nzvPn6Q/C71DsV567i9vkRN3cc9qyliI6uaTgqI33uuKo1n9VjPtUbSlqOnjxidLDH2fwRWffcvHLA0UnP2/fuS5e3iuhWYWIga7AG0Im2X1MYg+4iJmZ0Rjrr2HP0+BF7LjPaqZmUpRBK7R8Zmua3Ov7A1rAr+2P6XryP2kZ8ctZti3OljPV8Qa8SKTSgnGxqRjb60IWBL5mIsWM8HqHVEwnARhR1MbRY/3u/mE2xk7Oi67otsZbBKFFcsTuqqmA0mnByckoI3cBjEUuU9bphNK5xVjZB752MSFLc/g24ILyDkIA3jd6mUNr87OnxmkIpQ4hDGsbAo7HOMZ6MufvgPt26YX5+xmq55OzkhMI5dvf2WLQrlqHFo+n7jmW7IuZIXVUszmfsjaf060Y4VFn4hn0INH0HWmHUxvW9wBhD27bbNXLDp9pwqy67pAtHdDPmZFBRb8hsF2gPQ5ObBh9BZw1VVYnazBmu74949tlnySS6dsbNG4doAipqvFWY7FjO5kxGY8b1hFFV461jVI9YNgspfpNMS8rCQxISe9+saYfCou87aUZ1gdaCsCttcLYl547Qixlvnzpyltc6qsWba7WSDMDCO8iJ2A9UiQwhxSEdJw985Iqy9DijqUvHcrWicAWjqsJqRdfK4xTOMp6MOW8cKkfhZ1lFiB3RgXda+FPW0jYL0lA0OSsmpUaZwWNqsAJxBpfEtHtz7hijtsibnHeBmGVcrJQZnPwHHpU25KQwrpAEi2QZTccoW4p9gpaM300h/eY79+j6Dxad9ftd7f574C8PZ9NfBv5r4N/5IA+Qc/7rwF8HUFKO8va7j/j4x16VDkCJnxRZvC20zqTUo4ioHLEIBEsOZK3RriSH7mmy4TB3NcZu4xEum97Bxdzfe40yipwyfejF8bz2FN7TWrHln4xHrNY9RhsoLSHL/a3RVFUp8lwtaJd3lpgUxmtSMqxW56Qc6NqWmIIUMVpR1xVns3NyjlgvyoPc9wIbBwgDkrTtPLckX7mwvxWnQgjLF2Z6zklXNhpJwGRZliyX8rjGGDG1jD06ibRVKfHT8oWhrkfUJZAS3hc4rQmxZzafUZWWcV0zn81k7DWdUHrPdDzBe4fRitdf/zrj6T5vvfUmx0ePKbznxs0rPPfiK3zqk6/xzIuf5Bf/+W/zy7/yRRbLOa5QJFVQTaaMJhXWRPTSszxpUUqxV44lC8xZyJHlYobZkfd/VE/J2VJWE5bLjqbLrNctsR+QvsGzJKdMCpk2gzeyuK+ahpgNIYGxhhBl/l4XFdeuXeMv/tRfoPKGZrUmK8VivuCXv/AFXn35ZWpncTozqSv2DndJ9DK66xNxGRkFRV5HlvOGMimO79/jSV1yrTPEAH3W9MbRW3HFLqoJe0TKpsf5img05+sVX339GxTPXWVhInfbnvPxLuWVG9y6tkcdSqyvWdWWcrZmtG5ZrTse7RrCQcWLa80nKflYE4kjxxO1y+/MHrF2UFrHg7dvo4xiN2uI0KdMzAlvCvCFcL6imCdOqhG7ozFnXU+3IdTHwGy24P4DKNI+u4UX65IPsih8f48/0DXs1eeu5dhmlIuyMZWGEHqKohbFmdV0scFkhUmRrJQIYEwmI6KY5XKGs0JQNk6hwjBSyhGlNxPHb/2ObsYVG4PNTVFgrcNoK7xTAr7wpJw4OnpfCrUkStGui4xGI3yylGWB1prz8/PB08qjiMQQnxqRbRBv7+ywZg4GzN/k5rppDL+ZpyTOA5GUO56cPuL9Jw9RiOWEQVOOKrTSdDHQp4ApHctmxaJdob2RSDEn2azOO4y4DtC2HcQszZ814pCuLwokuAhD3hCxL2f6bZCr7RTD2GH8GbaNrmJDvxADTqPz1qLFDPl1u7u7jCdjdkee0vSkbs5oVHEw2eHFD92ibZd0zYocxY6m2ttjXI8JvRhc5hg5Pz1BWY3iAn2UuBU9NL9SkOClCQ+xJfQMo7AepQ11XdK2Sfz4lHg55RQgK0YjcVMPXSd7kLUyOkxipZONFZPnQZHunBdVoFLi21TX5BipyloI5VpT+AJrDaHrWTeRui7FvqVvqcoR4+kuq9WMruskfFiJybFWifV6hZ+Mt5FGOidCDDhnKUuPMWpARiMhJrGZsaJETzEQsiIMyK73BpTYZDvnCVEaP20lFgxEbRsTYBzluMaXFSklZmdn/M437n6Q5UDOqw/8G0DO+fGli+V/AP7B8O194NlLd31muO27Ou7cfcwnP/FxEhK5QDJieqYHRUISzx2RyCW0EXlsRqFdQZFL6Za4CAUliwRVwXacAxvzO+k85GQVK4Q+Rpq2QZEYjUvKwssHliJaKQonnacyBSkEYi/mhUXpMW7TyUhnh3J0SaGUZ7lYiyFmbFBW06ue09UJ+/6AYupZPVnhbbGVghpjhQM5zPI3st4YN0XhBelUq6EAvfRPa7u9z+XoiU0kxGbB8N4PfKxB1m1FeorSA6zqWDcrUh8pXMHBwSHt8oi26fBeMxnVNM2a8/NzDvb38M7JQjIec+/eAw4P9hmN97h95z1i6Nm/eoVrtz7Eqx95jQ89d4vZ/Jh37tymaZak2KF0JsWe0HesG6hHjsnuLicnD1i3S5KeSP6Z84M3TA8ZVosV3tbcvfcAa8dMd3YZj/c4OjpmvW7JSQkKkOWiF8FkJqYGYz0pCqclxMh4MuH07JSyko79Q899iLoeYVRgsr/DL/zTz5NjZGd3Quo6QorMZue8Hzq4A/PVGfOzMz732id59M5DdndbcoBJ4fHGUO9fIRkojSK3iS6C0w5vHZUTuN/GlsloB2MLluuOg8mE1z79Gbr9mtWT+/SHOzzsO0LfMVkFxg/nlE2mCy2v3LzCrfoaXzs74ze7xyxoULFjL6w56BVzrelNx7ybcxoi42eusbO/j16tOHMFiy7R9oEmBVJRoKxEGJVOiKtT43lm/xDVdZyGMMQUZbrUc7pa8/7pjOt7+xTK/ZEtqP6g17C86aiTwiqLjorCGJyWoHOIGGdwQ1euc8Kw4eD0pKxZLJeUoz0Kr3FO0yaRlWtlwXw74tTT8nwZl+itJ5R4G0UZLw70gRiDmD4iRY21UjSVZUnXiZP0pgFNSUjk6hIvKyW1RXSMMQMheBM6e/E8N8XXZq3Z3Hb558BT5HZrLd47Qgi0SRCSfoi60doQc2I0HeOrkhCE1lFVFWQo6wqDQSkL2uCUkvQDJY23mCdf8HKA7fMbzomtP+Fl2wmnRQG2Id8bnYdGX0QFeRiTTcY1VeHx3rEznbC3v8d0usOt/QqVGpRWNM0aa+Hxg3chBRRZrisG02nv2B3v4Ic1yThDnwOF9xjj0Eac7p0tcL7EOotzxdbMuu3UwHvryKlBK8N08jJzzlinGWUpEWk5gdGO9XpNPxgjd13DaFTTNg3W6W1MT8wZ58VuwVrLarEUsrptyJltASWGmnlo4DWkTNP1FL7Be0u5v0eKPWenJ4TYYlSi79f07UpQtxzwzl+48g+fR9s2hGDESzALirv5PELQgxGpcNpQaQAsRDWdB08tW3jJhVSZonDoIHE0MfagNa4oKKsKbSxN2+GKkjv3t0vEd338vgoqpdSNnPPD4dufAL4yfP33gf9FKfXfIITOV4AvfrePe+ede3IxbIfPmpxlDoxSIrdMgyP6xqkZ4RIlbdEqSxZejKh+GJ8NUK8zdvtBbTopcfYdZKvO0SOoFgPZLcaEsRrvhUi6WjVykq0a+jYSdY0CLJpeQ+kcTdtReI1Wgd3dMXfeeY8XX/oo52cnLJYZrRNVPRIn9iyzfJR4N6UU6fvuUvcns/nL5EmQiIKMSHmlg9KDhJdLBRVsyKkAMUhEj9ZanN+TOBlL1IwWbxwDKMnIqkpR64UQh9BgMcqsR2Nyfz5Arpm2XQMyXw+hx3lH4T0nx8fEELh+/RqLVYuMEPxeAAAgAElEQVRRik996hP4esLBtRt89COvEtB8/Rtv8IVf/AWOn7yPMjWVt6ioKSo/vC7D4dWrzGZHzI97sI5yNMYqRewSOTbkqDHaU5UT3nj916nKfX70T79EwvLo4ZFkJmZDjpKHaIbRbohxsI0w4Bw0kah6Yj/D6QadofbwYz/8w3z5S1/m2pU9Ts6O+cf/6J9w5+23aWZzCmWwdU1d15BL6mnFy7sv0qyW9Is1O/u73Lxxg6Iz3H7zXb76pV9n5Azu5ZeIuYCYpdjLIkLomkBKLSZ1tH1HjLBuevx0hJ94ZqXhydmctnasr+/QVzXXrlylyOdM9g/Yfe5ZXmjh5cke44Nd3vnaQ/aV4zmrGMeeZFcErbE6cbhbs1+VhLrERvC7hzx8eMw8rvDjmp3nr2JHY968/TaJnhQSJgaev3Gd3XHNqffMtCZrB8aTUk9D4GjVcf/knOJasdFQ/JE7/sDXsIErBYLyMiAdOQmi3vVroi0Yj8YUVkZ4OgeMBmNb2q4BFen6hms3rvAvvvo6SrlhGTRbTtO3Oy4XAU95P+U8eP4gtiFZUBRB/TfRNIHQw3w+26JPMcYt77JpWwrnLxUZF5QJWQPy9nvZzJ9+rt9JSbdZjzf8phDCNsfNGCOWCQPKNS5LKR6GwjWGiFUKZy1WSeah0hrr/aCQjKTYS8D8xlbnku/URtW42cA3zzHGKJY6Ayc154gedNd6KByNklG4cQZyoLCwv1uLRU5dcmVvwu7eDrVesjOZMl/M8drhvcFoRVWVeGsGn6fEuBpjtJX0aJ3x1hFywFrheXlfDsWDxVqP98UgeAgYzEAzGUxIEdW68zWz2TkAk/Eu3itymtF3a7zXLOdzrHFYa2jbPIiLYFTXgh5lyRcENZgldyyXa7GYsR2FF7uJECJ2G/km7482njZmXBJ1d+galJKYl9j1pMGgUxrbwQvLiRKxKiv6S4V206wRJWn/VOErxrcbEUEerpNIJhGjxXgZLevhNiM+sjSxp+t7nFIQFSYZcgq0vZhIe2+5c/eD8afgu7NN+F+BHwEOlVL3gP8c+BGl1KeQduQd4N8fLo6vKqX+NvA1IAD/wXej8Nscb925i3AGpJ5CqaGHS8ScUNkOP4sorVFJkXJPipkuQWqarXGbBHlKdzUajTB1DVx4osDQnSgl3CEvBc3Ye2JsWa7m6IHp772nqkrm8xnGKYyLNLEhMQF2cPaQdf87WG9wKWNMgbPCqxqPJqQY2d3ZYbXqWNYNRVWx40u6Ti7UqiyIfaRr+20XtJ0bD8naaXCC32QYZsxAvEvCBbqkVJEF7Xf70XRdt4W6N4tm13UE77BGiSu5Euv+EBMnJ2fs7e3ifcnR4/c5Pz2X0V4tF42zAsMqYDqdCMKlFYXznJ2dEfrElasV7917yJXDA5598RUWTQeuoO8bsjH83P/xd7j/3tv4YowtDFpHunWLjbWgbKpg92Cfg/MrdM0ZrijwZUHsAiEZtPL0babtG/70j34Ca0fMZytu3nyWf/rz/5e4wDtH7Txdm8SgMkm2oydhg8akFlSPzxl0oFmuZKMJitmy46d/+j/lueee5c//q3+WR4/u8yu/9Ovs7U546fkXoe2E4OgsKosRbbtu6YNwj6rxiPlixvF5z/L0hNVixfSVl7jxmU9zsgi0A+lVa4PB4FUmaYtXiso4+i5SjSZgNcfvn9BfmRCjZtEsUHs3cWVFqgpOFh3lpOBjLzzLs3ce8pGbh8yOjthrOj5CwUdzSUnPeRlYG8ueH3GjK8i6oMuGcT2FG9f55d/4LZrYsSws52HB4uSctYlMJyV0kZASflpxdnwi4aqhJzjJ3kwq08ZM3wXi3QfUtYxn/7CP79caJps+2KHLNs4O1iWQtcJ7K67OGVLSpGTRGBSZrl9R1zucLtYDSbwjK7n+Yx6Q9d+DkG623A+1vbY33FCtNSFlyPZCJaw26Ix488Tcy9hKW9TAft/whrQSTtbmNW6a0Y0H3dOKwotj8zw2KNC3Qqc2m+PmcWVsKfydzRTBObddw2DIKMwKlRQqbjJYE5Fe0PoQCTnjBkRFnLbZJmNsnvu3et6b27aNtx5UZ0lUeHogVRuVsSbjjaLwlsloLHmL7RLt4HB6wM64oDCRkU3ksObW9QPW64bxpGa5XFD5Qoo851FWInaeufUs1trtRCMjZPrSeSFxKzsUxGITIFFlUsC2fTeYpQo3zxcF1hbEIJ6D0+mY09MjmvUSUfllnJVeUpGoSjvYv0gxqo0R9MwYUoionOm7Xs5tLckSOUuh5axMcqz1LBcrFOIJNZ5MSDnQtis0Ce8MRTEhpZ6+XUleI44UOgFHEsQU2Qi4NiHxojp0qMGgc3POOCdu8+IvltFaij9jhFubUsZ7K0WngZQCq9WCxWqNUpqyFBeB5eBD2AdRqE7GE77x1gcz9YTvTuX3b3+Lm//G73H/vwL8lQ/8TIC377yHFAJmKAYGX5U8/ENhrEYN8b9aQ0xO3nztQSms91JcKEWMDV3oscOs1nqHuRTyKbNwQX6sMVitqOqajPCkrKnQakJdj2RS7luOzx+RigWlL2jXmhwNfbfEuZoQmqH4Ebmm1pqdnSld1zKdjOm6SN9F+gi+cHgvr8kXhahv+jB8+EOXqcUgVDqotO0Age2s3xiRIKfMU4tOzhcF1YYTABccgg2BNQRR7h0c7jOelJwvjrHWsV6taJolh4cH7IynHD1+wnI55+joCXsvXafvVzRtw2SnxltDVRbCHagqVssVIQQODg7FKsA5PvqR53njzrtgPB//zOeAyHvv3eVX//mXeP6Z59GuZLaMQCSnTiTiRmG9IWYwzqGMxRYFXYp0rbhzp+SpqhHeZ9544zZf/OKXKcsJxu/y7nuPkFBkN8TQZJzKqOGzF87DJtRD4OScL7y/FGZAGw133rrL3/7f/i5919A3DU4pTp6cMK4961XD/dNTnNZcv3GVZBLz5Yyd8YjalHSrBQ+PVoTVCmcd3WpNd3JKGzVuvE9KipQ1JmtslL9b6YyNHau2pygrXMrs7BxyZz7j7v3HhPUKs+9lQbAKu19y56tf4lWleK4a8cnP/AB/47/9PDsp8/ws8/K0JqtTZj6yc7BHc7zm+VRAcsyC5erOIc3eASkFslM0KtLEjjZlcpTcwawD2Rt+4/ZXuaFK1m1PT6RXmqAgGosm06VAs1jzjQeP6eIHI3V+L47v1xom4dt5i7JoLW7O2iiydYM7s2xk5CxqP6XEIsZUoMVU9nz2AF9MWYcsKH2KA3fy2w9QN5vMpqCS53MxcvOmHIi6G984CVkWbqFQHowRiwMGaYy8GZJTmHXaFh+CcG8CfDcDBVlvcr4IZL70fn7bYgoGOf+ACMkYJ2zXt83PLjfBm9/fvD7nnDynLFYNWmsyAVKDsyVOwyqn7WhHKUm92BR836oQ3Px9pfWAMgqX12iwGpxRFFYxnVbcuHrA3u6Ewmm0yuxMJxxeOaAshNc7cSU5ZXROjErHqPDYXItaMkacrrHa4ozHaFivVnjraNaN2Gx4KSSEEwVaWzJi6JsyqE1RHEQUhdJiaKwlHSKEFrJF68xyOaPvGoxRYCW4PUVJXnB2OA+0pe862m6FdglsSVlNMLZAAytjiMNoWSuNd+UwLpYCXg1FfMrS6IKShI3xiNl8xnQ6xTsxirbWEvuOEBLOCfqWYsBYNzj0Z9rVkpQjfd9uxVSbc2QTcL3NrIwRY2Rd3HCVvfd0XY9Smq5r6GMk9hFf1mgV6VOma1paJc9Va81bd56wXK0/6BLwR8cpHeDtd95FNjIG3sCAwKg0wJhDDEIKA7SXh0XEigLBSzWec0YPkPWmi0pJwjvzAO/2KUEWJYT1noTCpCWLkxNy9IyKPayucHqEcYmQGqKakpR82ItFT+4zlkSbOhKGEDNpgNLLoqRZrfHesVr1GOPYP9glZjg9m9H1PVq7gSTYoXUa8rQKQh8JIaGUIBdsZvdmM0MeFGpDB4vStF3YLhBy6O1Cl1KibTusM9vFHi4WpJgSTbOmrO3g6F6xOjkXSDlmirLi1q1b3A2R89kcY54hZcVqtWKxsLzy0oucnZ1xsL9PXdccPX6fqqq4fv068/maV156ifdPznh4/x6vffqzhL6lrmv+7s/+7zxza4J2Vt670KBMyWRcYasSrMMXntVqybptaTsh63cd9J2CXjE7j9SlIiXDcpm5cfMlPvzh1zg5X9BHidYx5gISlhd+6aRTRkz7lJYxspFFUQ3dsdYQug5rFKfH5+icKJzm/PiM9XLGa6+9zNXDQ0a+YFwWHF45oJ7WmMLQrJeYpOmWiXU6YrzquDXdp0sZu2rY3dvjzFqRSSuH1Q6TMjl2aAI2GxZdRzJeZORty3y55ktf/gqV8+xaz+l8zs6HdnCupCzGnHzhV/j4v/njtHbJl996wEt7O/zop/845t47BNXRtGccZoUuK0ZhJYok77k6nfKbJ8fUuxNGOnHadITlipuH1zl+OMOrnqgSZqciec3qrAWV0dYSraE3hmQMKku4ssmZeydnH1gl8//eY4guShLh1Pf90FwlaYi08EEZVLubSJ4UE1035IxmSxcCZ2fnjCdTlsfn9Clhtdj1yn9RUPshyxPFttARkvIFYXxDSDfGYW0l1340pNjLZpNF3i731YPr+aYou3hd1uphXJi3qPh2/BcvZ9zFp4q57SN8i1HfZl3aoFKXrWw2Y7jNyDGEsLV52YzqNmO7jXq5KIrt2re5fwiBMiWujkfEpmG+WJGajmwcXYySrhHTtvF8WpG4IZ8z8NgkPLdwGu8UpdOUTnHrxiFX9nepCkNdShaecwYdGwiJ2irC4NCeU6AsC3LwdE0jfC41rPkxULiCs5NTRuMxMQbquiBb4dPGFLYIjHOlRJ+FiPOlvE+I4bMvnVA5+p6chCO0XCzQOlJ4hVaJ3d2pmHtqET31fYtWhrIosYNhZkqDYpRE360xSqGLiM6Z0moCgyDLyQSnbXqWyzV5iFSzzrFcLVien7C3u4vWcHZ2ihEqqxT1KUsQdhfou4C1BWSJTatcSYgdSmU5L7VFa0UIBufslhpz4bs1GFkP05mul/NWKwhRUDwN23PEe4s1EGMn9kjDWFwKac1b79z7fa0Cf6QKqnv3H7Jet1RFIaGTSmMHJYgeEv4YLtqYRK69ubBQGVuNSH2DDUF8kkIkDYRGYz0hArbAeEXbi19KYR1mkAiL4V4iBINRFjuQAJXOKFXi7IjpWGG0Q+UFqY3E3GGqghw0/WCBDz1lUXE+OyZngdWbthH11u4UpTUnJ2d0fYfSRkYkQ0hjURS0qiNEyXMzRtM0nSg//IawJ6o1bdTwddrC4pvOcYNmPY1MmUsd3oUcNSYJN14uFmiXh85AMZ3u8uTJMTEknrl5i+ViKdYHMVJXNSqv6doOpTVlUaAYLhprONzfl4tcKd544w3OFys+8uEPc+vmDcrxiJ/5736GO3fu0AfDuBIC/KSHZBxtdjTNkk4riqbE1nt0yWPL65ye1uyXBSpocrdCV8VQNGmef+4FPvvZq9y9/4g7b73NfDYfiOuGNCiAuNQtD0yIC94eeWi3h5BTNFpbjFO0zZIKgeXDusM7y8c/8hoffe0lju49ZG9/n52y4uTomJOzE/Zv7LNqVkzKEefLOYW3jAuPGtV8+fZtVqOaH/qJn+SXztaMxjWrZUe7WFGUNcQecqRzlqP5guhgvZCU9re+/hVWvcKMRnxod5fJtKCfWGa/fYeX7y35QVNz5XDKG8v7PPfqlBtxj19742v84Ec+RDiec9Ps0B4vwVVkrVApUYwLegePzk4x04pSKeq0oMqKG8Gz76bEkDmODUsToKwZjR1FIz7GSUEPYOW6SSmRlWXRtPS5+b6uIX9YRx4EDZKDFrf5dhsuElrLZjJsVilG+gEpX65WGF+hrGM0suzs7bJev0HbrDG+HNTOA+KcxYdIDoWEzcq5OrDOh1GIdPhiwWIRKoVDMpmFLhGiZLZdXjf0gLJtzIRRkZQukO2nEib43cXSZbRns/Zs/r8Z622+vowQXf69DfK+GfltRnBPUxouHndjgbD5t/n9GCM5RuaLhSh2xyNiVqybnq5NGFsOjbZiEwgsHKSLkZ8xQ8yO0YwqT105CSSuC0aFZWdUMi7tUGQpdicl1kDXtYS2Q+sCo8CVhaApKYlSOA7G0YMyzjmxc7BGPscYJeez73smE4d1jpw2OYnigWiUqOCNVijvsFlQxpxEeSicJEvvtfD42iWjumA8qVnMZlJ0xg6y7C3ObXhlsv7F2JNVhKwHj75IitLIV2WB1hatDBooCzf4SyUxXjaGPGTvxRgonGd+dsr+3i45SwNvjXDgtFKiRE2glBGS/WbNznEQWAmiukEt1SCEkHNqOL8GW6GUpDiXIluUr0qrgUOl8NbJvXMihg7vi8EeJBBTxDvL2+89+P0sA3+0CiqAt++8y8c+/CobsvjGHCArRR4gvBiTEM9JGJOHbKKE0h5UImPoQj+4wmo0mpQ1OebBL0RgU0EkrMhiE4SoBlK7ApsxShOSwkSN1hVGS+hxWcB0pFnPVqy7JUYFKqtok0XZzGKxpqxHWGM4O18wnuzI/Db2aJ3ZnY4JfeBsNhvQM/CFpkNTFG64mAPWKIzZuMT2w8kkVhBivifKxRgjZT3eIk6wUc5INW6MGRSOadv9Saq2vlRcSCfYNivG84LRaExdVzx69ID1ak1VVlSVdLmrdcN0PMFZhfOKtmvY29slhcjZ2SmFL6mqipwkq2k6mbB3eIXDa7cwRcX7R0f88I/8K/zLf+JPcPzkjNkyEbWji9AqyzuPnvCb33gbcomujPBykmXVBm6+cA1WcxaLBaGdo2cZbVpShn/4D34OV4xYrFoePj6mWbeUVUXbdOSBkLs9hi8l2U9I4SlL4HVM8o6gEw7F9WvX8Tpz9v4DmtWcqnCMRxVnJyfsHX6Od9++Q06abjYnhkCzann7/jvsXzng+sdvcOetu7z04ke5d7Lk5OycqSt4/PVvUP65Fl8XQzGiqacTQcxMpu/WnLUNtYIn3ZKyg9G05t7xKZ0t6YuC7vSIEzdBLz0vzxKvHRk+3FWs+zWvnz3iT/3YH+PPvfhniI8WtPGM8984Z/b2AyapYNZlYiFKtLRb8TAuODEdeVqSli1FVqR5A8fv87Hd6zxcHNNg6A2cdmuK7CiNh5zRIVNh8JQUtgadWIVzki+JavH9WTj+kI+cM+u2Fd+eKFwzkxLKGJS1FO4iAy8nSRZIKUJS1KOarpfNYmen5vBgn65rqeqKNERJbU/dLBh+vqSmM2oo6HoJFpYNSIMyEqGFIgThpQz4kfzLG4uDC/8oCd82Wz5YipG2D2yUxZdesSADl17/5aLocvG0QXs2Bc+mYLk8GvzmgOJN47e5bcOZ2eZaXjo2qMNlNfP2OQyfS99H+pCEr2gtLlli31MUXny2iAPCEdA6YU0m5J4igS0r7MCj3RlX7EwrDnbH7I5LVG549pnrlF7jDezujohdx2KRRYGXoG8TZSHj3I1Z8/7+wfY9U0qL2lpJ4SzRWJKykUlDxqgQ2FFSUGhjSVkSNVIMA7qSh3W/H/yZDN5qiv1d4SOlHojMzk44Oz8TE1El3L6i8AOfriMlhdWGhER+KWXYihmMISe23KS+C0NKSKaua+pRjfQPkanPhCigiDWKEDpWK+FX5WFcnHIeCk1RqwvxXs4vmcZosIIkgZD1+34wtB5QtKdH13pbjMtzFh/GMPCypNGQYts7K2PC0GGMIsWOvguU3vGNt/8/gFDBpYIKtjyXnBVJZbJSpJyJOUOOpNSiU4NWAYhkZQaDOrGWD1qq9a3JZYYYAkoZrHNopbG+QGlDypGmjbT9CigwboIylqyECFiWe9jo6cJM8vMqTV11rBcz+n6JsgXGFAOcuUJlUVmcnJzRNA27e4csVw2rMymwxuOa1WqJthbv5EJZLvIgV1UUhRM1TeoxRuO8vfDm0MJzuLyAiRzXDRfmxnMlI5W9dHUhChReFAWj0UiiBIx0pF0vig2F+Ljs7Nai3Biks13bsb+7R7O3kkzEPlAWlvG4xFtHUXg6OvpWoObNQpFJ7B/ssbO/B8bw5PSI219/He93eOWFj1F1R7zT3OOoOePJ6YK7j8+YdZpxNWWn3CcqT7NcY7XCG83du29yZVwwmx2h+iXz8xUPH4H1osEJSbFct6zWgZwN9IGYJZpAq42XlyYPaEEedKJp40Kdpd831lB6T1k6Qt8QU+CVV1+kNJrSGr7+9d+hXc35x//k83zm45/AND3t6ZzD/QOCSfzJF57h67df58nZKftXD7l28zrjN98jz0/wSmP7yBtf+iJ7f/JHeLxscFZGfsvliqL0WKdo5uesrOb+esHVyVWWLZxE6Ov/h7w3+7Hkyu/8PmeJPe6Wa2XtVSyySDbJ3lubpZYGAlrA2LIFGIbtgQ0DHv8jY/ht4AcDfjEw82Bbgg1jxjI0lm0txkijkdRSt9iL2CSLZO1bVq53jfWc44cTcTOrJD2oDUgcTQCFIrMy894bN+6J3/muGVUaU4kGpSXX8wmXDhq+6Ma8d+U1TmzJgVky3LlMlOXc+In3aHTFHz59zJ0/+D4lCXWWMhpkTLIIM9LstwuOKNGTjHK+oC0rciPYjnPGuxMeNEdURYuuJNutJAoFReiQThNbSRimOBRlsSAIFHnmw3b/Gp6Uf+MP1w0lxnR9dsrrH6MkRQUBpjXrdoceH0VKAhX4dHVrmJ4coZXknbff4gc/+oi6bbEy7HKPgI746w9/BcuXvuZ1SAZHg5SaMFp265+ibXuxb0+xndFuzvnHEF12nxCSqqxo2uol7VI/1LiuK7R/TDhDrM5/b4+enzmQ5Zqa7L/nLBbGvDQU9caZnjo9/1zXsTHyTLd1XgAvhKdKZaAR2tCsCsqqRilHGEVAP0A0KAmhlljj2yOUdKSRZBRINjZStrcmDMY5aZYQxhFxFBEHAYKcjckIRYt0DRrHcjGlLpbkyQTVKlrXgAEZKqIoZrUq1q+rR+GapmGd3+V66klgLJimxen+9XtdkWlbwjDCKahqL0aXSqK0BDy6I51DOEMQ+W470zQ0dclyNaeuKlQS+/ugFDRt5QXgxnZgg/Bdjk7Qtr7QWipv4PIa1oowiDGdM91YQxT7oQygLEsWs6lHspShns+IsbhqSSM8GNI2rX+trtf0KtI07wCDRfc1jVSglD8frWk6LZXr2JqOJrb+0+DpbY2Uei1tcc51eY7eDRoo378o8cHeDa1na3AESmDaio/v/vUdfvA5HKjuPXiIEgLhLKa1vXQSOnQFIbqsKT+E4MQZ5+/6LZPskB0Pnyqp1rkjTdVdfNJbcaUKsc7RGqgb/M5SCZQOCKMEiJEqQGuJIkK3Ybc4KAbZinK5Yno6pZifEI1vsSxWftfTCeGjKOTk6IirV68hheL4+IT5fEaSZOzt7TJbrgiDaK0Vq6oG1inpnfCv22209LbYvrvvTOvgL55Xs6i85qrPXnG4dYJyHMfrxcg5R1WXJJEmSdKuKFNTFAWDwaD7gCv/37albU9ZrQqyJCOOYvI8XxsBLD5klSDkdFlglSTLEoLIpzWHWrC3e4G7d5/xj//5f8tHHz4gzFP0xtB3/M0qBluXqFvH7OgF480LbG/tIEzDs2JOMszYnCTc//CA7XHAZBiRjS4xHo+4ePkqH935hD//4A5hKEEEHJ/MSJMMkL6Dy8mOIvEqPAE4ZX1Eg/CeK4QgCgPyJCFLI+qqpClqsizgrVu3kLScnj7jy198lxfFlOVyiV0U1NM5tm5wgYRIegqoKmmN4cM7H3F8cojGoeoK3ThefPIZ47ffIx+MacsWYRtCJTzSoCDMU6SQHJiGWSa5c/c+nx4dcaoUzSDHpkPyJGf3RcNP2E1uDS4QXcyYXxpx7dou1y+8x5vZl4mWEa20bGxfYzbcQsoQkSW0m0NKVbFQlsfzGc+Ppog4JSWgDgPKkeFBUvNgfo+lqjBx5INuW0vVQqBalJSEgSZNNMZJEI4kUZi2xAmvgfi34egHBz+k9IaRzpElPTXjbG+G8XpIvzGSOCGJY8104V3KOEsSh4Ra0JgOnXKiQ6l6pMh5VyneWONXBnHmBnQ9NdfiARwf2eJoaVqv6RFI+hBla/06YZVHE85E6mKdafUyQtWNdutN3cvo1HmEaZ0JyBmSdZ4qPE/pnR+kzudUnV+rzguSF4vFeijpqc4kSdZDXJ5nGGNYzFc4WaF0QBCEXbZR01FAEq0cuJaWljD0ZqLL25sMQ18lNtkYkucRSSRJs4AkDnxkgtBgFiAUSkKgJTs7m6yWkdcjCc1w6J8TQBh7Z1xRVJ32x+cpVqtldz69pjHQgRdpN/2A6yMJjLWdTljgAn99qc5p6UyLFb54GgG29Qn8rnXgGiQWpSFLY5IoQOou28sYyqIG6zfBKEeNpbE+JFrg0R5jDFJYwsCXL5fFCq01w8EA1yFNzhoMjqapENhONO6oqpIsy9avWdgGpfx93VoH1qBDgdLC52/pYH3dNE1FaxqCwDeWOPz16RnUM3oWwINu/tozxq2vnT6Cw+ep2fV15PstJcJ5mYsUjucvjjmdLX+sdeBzN1Ddf/AQJc5x6+sPXreISIF0EueU/2O9OM7abkrtkpv9B1N26La/IKSUBFGMbA0tbe8dxrQtjYPW6a4EE5wQyCBAEKNk1KXleldE1NUApMmcjcmQppxzcnRIPr6BM5Y8TSnKilVRILBsbI5ZLefEccpoNOTo6BS6KoigSzW2xoDwi63WEh10u04nPR3VZW70ToZe9+DPTI/kec795YHqDBLvh7GmaSiKPtcj6vhzn6DsM04CpJTdQJWRpRmrxcrXV4QaJSPyKGUz32Ar2cBWFhuDiiKEkUgdYZ1Pik+TIaPRGIdjOp3x8MET7j/cZzE3XNjZY7VwFJ7vfw8AACAASURBVJWFeJvGgGgl1dwxX5XMq4YsqxllKaZI2d0eMZs+QV+M+Ymvv8Ywlty4dpGN3fd48uQ5UmmODo85PZn7nC/RMhgO8CCJ7D5oHUrlBHRlPiiH0I4oUoShF8JrKdkYjXjx/Cnz2SmhFGxsDLlydZdrly/y9MldDg6f8vD4ACk1IxGhK0OsA5wTPHvynIKG8dYYjOP49JimqVBWcXV3m1hoXhwcEN1/yOiL2yzbGmcbBoMhp+WS2WqGTEKOTM3/9e3v8sf7v8eLw2NeuBZ79QJ2PKJIYjKpufFCsPfpktwlHE8cH5iCBY7Lly8ycAMWjeBP/9mvc/93/5h3br+DyyQmDdjZ2uF0uMO33/8zfvfbf0S4vYnNHUpGGFWyqA3GKcpljTGKojS4qgWpGY5HaHlCnMS0rcOZEq0CNoYxOhA8f/aCPJX/1gxUfqOnUU4g5RlF5W9W3i2kusgTT5WdaT8a4+35SgrSJGa1ekxZzMmSkFVH4znh0aO++QThiT//5TNNoP/b4KyEruvT1XZNg7ysgfI7erquUIEAJzuXcbumVHqnnacF/6o8rHM027k/fWhnP/Csv7u7ofWIe/+8ztN3/fnrf64Xpp////77exSrH7b6rxu8JtRJnzXYmhrbVYLJyg8ISrRgWiSGPFHsXtjh2pUrvHZxD2kNxtSMxjlZGtI0K4wt0UpgTI3Dkac5SZyQRilKei1OFCdgKoysfUindZRlhXGCLM+IraWqKhwQhHodzFmWJeDznkId+To0FaClj8lp6gZjHUJoitUK3VFYXmvWekS409s1ZYk0LcKEGNfirPG5V3VJkkTdzzhq12BE61PlVRfo6rwjPQhCotAjY72DU/seKkxbAs7X0HSAhdL+egm1pMDXvvj3XzGZjGnblvl8ipCCMAgpiiVBELBYzMjymLJdUpYlG+Mh84VBK42DboAKqOvKo5mdixF88nuzvl59V6S/xlhT2ecH+7ZuMaZdu0eDwHMVWAPW/th0H3wOB6pP797DWF9j0Jf+9uWHHlPo8kOchyHPNkZexB6EXZigMZi6wdhe+e/rDHrnglC+lFMohbCggogoERhR0tSO2nopfBTEaJWBEJ0jRBOEExrTIlXEYDSgbTcoqzlHs0PCeEwY+rTfxXKBUpLjk1OckEw2fE1DFAUgfDJulqU0jWFRlDjrBzbnPApWVQZrHE3jOrG7Fys2TfuSQwZ8nxZCrIctfwGdCTT9AmbXC1jTNCyXZ4L2NMtJA0fTrKiKOYPhCBW2OF2wefkCr42vkCcZn374nK04YJCnjIcD0izG2hZjFHGc41yN0ilSaMJIkmUDVOD1Rk0D33//A4bjHYrVikAlzKZLqsJS1AOWy4ogG3J6sCQcjHnj+nWKpuTxvU8xbYkp5wwjSELHaDRie5SyuTkgjDTf+c53+eTTu1SNIUkijBOUVUOUBDgp1ouB6C0h0KGbjqZeEeqQze1tRsMhWZYinOPo4ICjk0MCJVBBwOu3X+P6zas8ffSAg8PnPH38CJGlXLlxk8sbFxCLikhqgijEJRobSWphkNLQ1o6trQ2SRnNUVzx7dJ8qG5Dcv09y6SYbUUbR1tSzOVGoSOKEZb3CmBqNpC5XHFYr5PYmVRgyMy3p1oS2Ddj8rOF2OaRdWH7vzkf8L599n9dv73Dp/ZK7Lyyjg4rbR/D1zeucbgV8mpe8+7WvEsiU/+a//seUCOZOoqxfU8LxhLpoEEGCDRKUa6G1uHrub95K0RiFrVuyVCJ01wwvLEpa0iTg5vUddrYynh1/+je9hPztHM6HEwrlI1j8Jsnnkgm6TZAV9EuuN6EEngKqfDJ109bk+Yg01rT1ClOvsHTZUUKcI/tEh0ydjVLiL0Qq9Dv/vgD9bL04r0FSSq8/Dv1a4eUEfvcfBh7Ltc5fHGeIlF+XfS5jP0z5f3k1iLgfcPpohzAM12uQr/0K1+Ga54ek86jWX9BGnfud52m//nHDMKRpW45Pp964Y/swZ5+x1NQrkiSgKZc05YpAw2iUs7e3w40bV9nbu0DmJFIGWOcRqST20QZlVeNMS1tVTEZDRoMBfWSGp44kdePlJUEgQUJZFTS2xRYGYxMfKVBV6EDTx+zoIMBJry+yrdcKq87d1qMq4AXySutOjN9rpXzdmDdGtOCc79LLMnSgWZZLiqYGXMcAeYdpfx9SSmHasxyzNEn8PaML+uyLn/shO479dVzXDXVdrlkU1lip1wFXlaHPU/SYplnrV41p1tRxr/ctioK29bosBNRNDQKiKCJNki7FP6Rpa3+uhQQF/pK2HQLW7zzOUvC19hlwUkhP/3lboO941BqFrzhqm4aP7/54gnT4HA5Un91/QNvWZ9Zc4RchX5J4NkzZju+XonexeFGx38a5DiLvECpEJzx2mFZgnPI6KuV3BoqAEI3SBiMMK1HghMaiEEEEMsAYCMIMKVqU1jjpqMpjpOhysGxDc2BYlCVSOrJ8QJbG1HWOMZbVcu678IKEQZ6jggjnNKtlxWKxpCobnJCowA9CHrIWNI2hbT3x6REqs96F9RC4c/3yenb0i5LqdBxCCIrS+Uoc52jbhrZxmBYWi4bNSUIaviDfiDk42acsDdeu7zJfzbh77yPeeO0NBnHExb1torZgNM4womZrd8THdz5iMtoCmWJROJWSJEOi2NcqFMsFi0XFkydPmc1W7F7I+MbX3uE3f/NfcvXyVT779AH1ssE0io1kRBg5jBKcHj2naitaU5LEkjSAL759m1/+1s/xzu0bvP8nf8i9T++gV4MuTdqjalKHREnS7crwkQgdDExvSujoCI3vTcuGEVtbQyaTCVprojDi5PiA5XJBHGm+9tV3ee9L73Ht8kU+/eQjTqdTvvFTP8lgc5P901OQgqPjE8yqIM0y2kCwlA0i8bvAWCcEUcDh42dMTUCsNGXTUj17zsHHn3H58jUmwzFPTo9psojJhQ2eHhWMdrdJjCWzmg/v32c8GbMoSmbKERqBHbdslIfcOH7Caew4bFZMxhNG85DPvvtDylVJeVry777107j9KUKNOQ4D/uTjO7w53KUdjJjWFVU6wOoAFcfYKOKkMYDCzJdcHGxRryoES7COtq7Yn56SxxVRGHubtFLgGkzdcHHrGu+9+1Vuv3GF7/7or4x7+jt1uA4VX1N9XqHR5Rj9VSGS3TAgoGl8NEexmnNhd4udzTEPH97H4Rsg7PrTLc8oQMQauZJ4UbJfC/rf7zwGa860Rv3Xz7JD3JoiOdMfdcJvZzsBsKdmhHT+udhuWDtH0fXD1Ks6qTj2SdpVVa3Xrf7Pq6jVedF6n+N1/neeZey5V87jWdhjj9LLToIgvKjVD6TO971ZAXka01QrMCVRANsbQ65fvci1axfZGE+INATGkKQpUeTjMJqqABqPTrU1k+GAyXhMFIUUy5K2adCpj7kpihXWLIFwjdIFQSczkRasJQoV1lnaxutkrfXONOcsbdX491SevUYpFVGoEFL7Qau/v1mzNhfgjM8tc5BEMXEUIxSErabpZCRayrV+Cyk89esfbX3uezZDKY0VFtP6KJ/BIGCYD7qhxTsjW9NQVY6mEeu8RCU8NQl+YJNScjo9QXZdt86xRiids+R5fq4Kzut4ldI0Tbl2t8/nc6IoBgRKhD4Wwlov1FcCOsOaMSWBjhCIrpsWbGs8H7jWa51dW2EQdvEY3izyyf0Xf/0FoDs+dwPV/YdPfKBYD4tLf9FJ57lYOneJlBKhNBLfF2ZxCAtNXdErC7QO6UWiTes7fvwQ5aMPUL4iQkoIVYh1sFgWSAlSJxgUtqOKnJSA9tCoEGiG6HgIZkGUNgwnG4zqFWVbYW1D21YkSUjdxKRpyv7BEWWxIsuGZIMRUkVMpwtmsxnHJ6cEOsY6S9363WNrbFdw2f1tms6pYdcCzd5S3O84zXn3i8MvpN0wLqVjIxtQFEuOT07QkUIHEcY5FidTtrYvoOsVpm25/cYX+MEH7/PVr32J+fKUDz/8AC0Mj+/f4d23vwDFlPFGyvbmkGdHT8mGIUpltDbGCQUyR+iBLx52hsWqxVhF3TjqxvDJJ5/yG7/xuyTRCAjY2d1kK73Gi2lBY/z7N5/NOZmfcvvtNxiNdnjx4iH5KONX/v2/zyQLMI1hNluwXJQMgoY0zXHWFz9bvPg20AHGCZT2PVhtF6MhpN9ttR2dYJqGtvX6ByWFt1rPpswXCy5fucx/9g/+I25cu8qN124RxyFFWTPZ3CbLRlhjWRYr8jQkjEKE87bcbJCSpQo9jHn+4gXD4Yg2cmi9zyBOWJUOEae8cfkSdxcl9//0u3zpZ7/J3mSLE9EgJQhrGWU7PP3hPU7uzthIrjHItom3RtS0mNJhNxqirYQPHt4hXD1BjeckqSPZiEi2Jly8dpm7Byf8+sP7jAkpns94+HDJyclzvvnmF4n3tpk9esJMWgLlXUEOQ5iFpFFGWzTUyxntqkI2BYFS6EgzjjOsDH0RaetjJMJAYFxLXS5pyiXPH92jWK3+hleQv53D66J85tOZm8uvVz4YskNbbNeEcG5w8Yu6j+5YlRWREly5vMvTZ9ucPCl8fo511K3xOHuHIiE8pSEQXndJNya5XqzOWnd1Hpk6i03xN7bzbt++TsY/V4NzL2fWnSFdrwZivkz1vSo+fzUuwVrbDQ+9kN+s17JXRef90d8Ezx/nv69PZe+pnDjPEUHQ0WiglfKf9br2Iu2qINCwuzXhxtU9rl6+wNbmiDCQhEqQhykOUMJ4GldIlApRKkTKhEArnDHURUFb1bSNRUuP+LVNhbU1bXt2zrIsWzMEfUZiURTEceypqKohH+TUTYNQ1rvcu+DhXh/mnKBpjRfRhyFN6+8Lzlic6FJfhADrqKvKJ4RrH+aqpMTiQz+dtX4D3w9SayG8RymjKOzOpwcfTNt0QvrGu/WWBQ7nBd7de2zattN4tWgtCKS/bp1pMVZQNxVxnHg6shsi+89NFPnYCGv9BkAoTV9qLKWkLHzfYJomtO0Z9bvOM0MQaa+ba0yLxQ+nXQEd89V0jcRZ69BarpkKKYRHMJ1DS8Vnjw9+vEWAz+FABfDZvXvcunm12/XZTjB2xtRIKfER/A5hJM56rZCHMH1PkuoKE9vWeArRdcFfUhNGEUJ65MB2QjyhJNIJomiCEDEQYp2mcYCQSB3g8DVLBoMKMmSQexhXVKhowGAomZeeKy9LXzBqTc10vmRjMmaxrJhMRjgCFosK0xrCICQKYoRUlKsSg0VKPxBUVU1ZtjS1oapamqaXUZ/V5ggsyvmSTSMqj1RZCU6jrOpKjy1WGoZ5igkDdCgREhrTUhQryqqlrEqu7l5kvjgmjYdcvXQDU7bsTDYYfuk9jo72OTk44Gmq+NIXbjMeJSBbdCiI0gwZBEiVkyhJFGY0RlJUNUqCUCGTzV10GPH+977Hs6f7vlOKGq0UgzymkBVpKjg6nVG1FVmsuXL1Gj/7za+RD1Lu3s3JIsXGZEwsfU8UhJycFohgSdNYnztmHVL7QRjhBZmrVUFdz0nT1A9cxtJUJThPN0RRhmkWHOzvY1vHcDjgwf0HrBZLbt68yWs3X+fNN26zu3eFx08ecDpbkuVjHj56wul8yld+/qfZzSfUkxNmTw84PDxiFKekOxOizYwwTSimK7I8olguKGjJx7vIfMT25hZHk7f56KMP+GR+yDALqMWCoB5wcTzk6NEp2o1o1JzWFOxtjKmEYzIaEgwH6OY5n84f8Ob1IRcbwWj/I/TxkibVuCBlfjJldGmXyaVr/M6v/RZ3HzxhOYwIJwmLg/tETUwjWtAOR4WzGu0UgxCODx4SOklUS1IcOrKYul7rVcLBEGe99Vg4SyAUpm158OldpvsPyBPHavnjiTv/zTuEL4WV6iWhrBcKuzUSsB44zqHLTVMhbYsxDtvWCBzbGyPevH2bo+oez54f4JwgDkNa26HtgrNGBaAfgiSi0605n4wg1UuDyXqwwQ8jfbVLr3dqu9w+IfxmyJ0bwl5NKX/p1Z8bpPrDa1l8x2eP4PWBnec7VQHOo3f9c+qT0199jFdrbM6Lkl/SYp1D8YvlylNsUhBqRZ5qolFGEsDNa5e5eXWP4SAmDSRxrEjCCOkEq9WSsq0JAkkUaaR/EJyzlHXpBx0VIjuUpKoKnO1Sx1Xfh+qH0vPyi9PTU/+uOUeWZevXpJWmWBUEYfCSxd91jm3rvKNbJn4U6lFOIUFJAdJfGxJw1tJUFW1ND0D5Idx0IdlSdRo6AcZi7Nk10nYon+oGf6UkWntNZFmWFOWqey/8ECYFSIfvVEwTXOv/va6bTqDuxf9K+vvjajlnMBxS1w2j0Wh9jqqqQqK6Qd8Lz72MBZRUnV66D/X2z8d2AaE+niQicL7lAeFQ2ssnytLrGOu27QJ4bef4FzR1vb7O5suKg5MfP+rlczlQ3X3wkFuvXer+z+NNfQ4G4H0tXc6E7ThfZ/uBy2sXcH0nnkSqAGF9jpWxYJ3qyiQ7WbL19QpKKeJ0QhgOqBsHIvQ5MEqBCvxU36sYtCZIxv7npSXSmrGMmS09p1xVNVGsUAoePXzIO+9ucvnKJUbjLR49es6TJ09xIiDLcqxVvkPIOIqm7HZiPsOpqnxZo7WSpvVN71IqAsDWBbTevSGlQIfgnAQZ4KxCGuUZbes7AxeLJS2Ndwxa7xms6hKHpGoqTpchTWE5Plzw9a98A6kKtGm4eXmPyBUsXzxBtgXjYQJYEJrT+ZLJhoe9ncyIghiJplwVVFVDnkbkgyHGFDRNxdVrl5EKbr3+GstFzQ++9yHP94+pVc6l19/iyvXrzBYzZCD5whffYedCThgG7G69S1uVXLx4kUEcc3pwiHURz/ZnfHrvfQ6nhrKs0GFM2xiqtiaMUu/WFJo49YtWa7zwMAxDD6dbR122KCHJ0xHPn79gejrjyaNnvPXWW/wn//E/4Otf/xkGWUZTN/z+7/4eT58dcPXaa94JmKec2AUnp6csj15QzubMplOiQcq9gyfMTclgPKAqGpAx7TCHfItntQId8WRW0F7eYfi64PnBXXYvXyUUAdPpKUEccno6Y2d0heT6JeYzzfPZITqdEEcBOMskjal2BdOrAZ9+8Jx8M+cbb+3y+uvXeHv7Ip88fsy3v/8xKp9wYXNEuVhyGktOcRwtC3YDQaYa0IammRO3jrAx5KyYrWas5jVbow3iQNBax8o02KYBJZHOsCo63YK1BEIQxhFatFzc2WVnM+X3P/z+3/Dq8bd3SO1RJmMNxtkOHeooOOsznnq3qeuoFeegqkqkUgghCZRPks7igGvXrjJvAqrVkoPjKSoIkIGiqAwWgewygXCeEhTOmyxU95juHKrUH2tdUpe1dqab4qWByNeW0GUdnemv/rLB6fyQ9SqF1w9tPr3csLW1Q57nPHz4kLY1a7bh/O86r8F6NUgUeAnx6h+n/3r/t7WW5WLu3YpdzpNtWkxbY/Bu6mGSs7s95tqVPS7t7eDagjAQpJEiCbU3s8QBzvn2hKataa1PPEf4LlM/ICoCFdI0hqqssRaiKCBJs7Xzs23btShaa81gMPCidHdGx/oC5BCl1XqYgm5gNC1eFwdStUjdeJQFgZWSINBI5Z3UrTUEUuICH3Xgq4Y8/VvXDcZ2GWDGIRVdBZfEOa/ZFcJghRfzK+lAWKTwHa1xGIE1XfA2eE1z9975aRNj/ODqqU4vlHcIAqk9atY2+ODRbsZzjqauCIPAJ/fLgKosyfOctvY6qyRJqasS68x6E6GU7Kp2HG3d4Jw3diEFCrXW6NF9Vrpn6Wu0nEOg/OfQnl07nzz68dEp+JwOVPcePOZViy79rmstkaMj7r3guI9O8PrNTjPTC8+9/Q9jvHshjARK+AUMa7weC4VWEYHSqFChKuNto8qjWSiJxWGcRAcRYIjSMUI6mlpizIIgShmezjk+OVoHeW5sjLlx8xr5IOXSxYscn8w5PjpienrKYLSBcz6kM4gi0iwmdhGromQ+XQAS0dck6AgrakSXrFvVvtdIdnELwgms9RZszzR0gYBO0E+bRV0TRN5lsqwKTO2D41SgadqKxQpk7ZidzpEIsjCirhbUC8fVC9tc3MgxTUOeJKyqisWyRKoEoTMvU9IaOnFjaw1OOFQcEkbw9MEj9g+eEkaC8SQlTTO+/OUv8oV33uJXf/Wf8+Fnz6iafcaTIWVTcPX6Vb7w5iVmyyW7OxMODw55+/ZrNFXL/edP+OD7H/AHf/Q+j54cc3Q0pRVpJ0z0EHRfpeGkYlUUDJOU5XLpd4RJQtDx80JJxoMJb37xOv/wH/5X/NN/8k/4+OM7vP3Wu3zrW9/i1s032H9+RDGosPWKP//hRwRBzLPnLxhkKacnx+zPD8iDmKDBJ5jvXcBKx2gRsKFgMMpZlDUFimxacv9kBvGYNE+ZLeZE1ZQrOzs8Ov6U6YNHXLy2yXg84WBekYSS+eyAw0ePCGNLG4ZECxhtDwmEYCQ0V965xM7PF3z7w3/JndULdoZfwEWajz/4kMP9I1Rb8ezBAXopuKlzRJozx0JtqY5mzN2coRQsViVJIglDuHL5Av/p3/8lvvHlr/Jr//TX+PjDTzhcLrBYRKypjPVC2FZT1RUilDSNw2qBjkLGg02u7O2g5A//ZhaNv+VDCEEXd+bRFkCqbuNGlwNnjd/Jd1VYdbczVtJn7NAlOUvjMMoyHg65ftHw6MGY+WxK05R0uyZ8bRVeQ7V2+9HFgOIZwXMDzku0W7d+9kNSf7P3mqZzVKV7Wft13inVD0mvHueHGp9jJ9Yamh6dOTw87DRSaq0v8gGbDVVVIUS3Qezchf35O4+0nRein3/snvoTUqJagZMWrX0ESqAEq4UD0zBIc954/SbjLGI8yJmMBihilDS0TeU3XYEmClNcF7KpakdVtwjlQ5HDMCCOIwId4kNSLWEgPRLZ6WB799ur1KWvJvK5gedjJXychaAsy/XPeoTKnwMpPT3mf4+vm3HGr++maUFAqANM3eKM11L10QWts4i2JgxCjHVY47OgtA4RPjAG59pOw9v1v4oz1K8vzfYRP10VkrV+yPGJKWs6uO5ddNYPY1JJ6rrCdc/Hh0RLYhkyn8/xDsbKZ7LVDq18TpjxKcukSUJZFB74CBTOtDj6OjoBStC2DatVQ5RlKKXWAvdeC+bP8TmUVfraNifPxOt3Hh3+9T74rxyfy4Hq/sNnaN2ns/q8KSFkJ57r3C7GIfo+K/eyE8RP67q7kLw7ULYWhOkyWTyKI6VCOoPFIKRGyABUiCaB0CCtxXUFmSjZJRhYrIPCWEKdEKZerFlXDikbsjz1O5YgZDqdM9nY5pd+6Vscn8yQMuDw4JhVYdF6zHTqCMKAKI1xVNh2TpZs+QFPOKqypK5MZ53VKGXoIyDKtkX2onzAtg4UCN1fNBKk6rQb/nuQjiiJyAYxaqE4nU5RWhHGEUoDWhLKEIdlMZ+ys7nBIMmZHj0mHGdcvbTHYDDCtqBlQtVqn46bbqPDhFZIjG09TSAMSRaRpgHTo+e8OHjKajWlNSuCyJGmksEwIIwm7OyO+fizRwwGcHL6iK3NnK9++Q3+9R/8Nv/eL/8HbG/v8r3v/Al/7+d+jt/8P36L/+1//Wd8/OEdkihnMV+idUQYRsSxoyhrpA4I48R/eFXAeOKdn4PBwC9yXenmTr7JO++8w8/81E/zs9/8SRCO2ckCRcDf++Yv8s5b77FclASBZjwa8Tu/89usZqeYcoa2FY/vPyaPFFGyy+XXbxClMUVZMZvNWc7mXNjdXKMGWZIgjHeUjEcjDiuoypLN0QBtVzRlwOt7exzdf58PP3yfrVs3qYIB+fgq46u73GdJ1S64sDfh8vVrFFaiEYgnU377t3+NO//vj9iRhs/qkj/5/vvcOnjKL1y8Rrq3zfzhXa68cZXo1GIfnHBz4zKxDMlbxQv7jBfvjHiyv8/9p09YVQ1JKohRXNrdw1koG4PTEcl4E9dYVqsSKyQnrc/Z6muipNYsFksiEXJyPCO5eR0p1F/xKf+7dviMM+kkeTzyKJVpfGCstThXA38RRbHWEoUB4NaBj0JKMIaqXDDKAt64eZXFYs7+0QzbuXnLxtAnQftH71gdd7blNLxMpfVDlVQ+HqT/Wh9NoJTvrvROu5Y+y+r8z8MZ8nTeFNP/e//1fmAUQqzDhqMoYjqdvhR/0Mc5+Nwrh1KGNE2R0ve1QUNf6Hw+q+ovQ8VeFf5LIUALbNvS9kGaCHSgubh3gSuXLpNFgiyNiQKFwtLUNW1VoQKfHdZbfYSEOAqRwrEqlmitCLQfQurKv7cSX8GllKLuhs0enTpPbZZlyWq16l6nXA+mPRLYmpambdZxE16f1gc1++FAa93d984ylfpzHwYSG2pwyge4uhaJZzYGgwFKKRbLgqqqMcahtX/ve8xIiHPxFI5zUT2mu7+G/kJztvuajyoSvRvf1Jim7pArvza4rm6p2wUgOHNj9gL5qqqw1g/ScRxT1aXvk7Veu3U2SPp2kbrxVUFS+ho2hb92dah9jUynqWvbtot+EN1nrr9eztC1/rP48f3nP8Zn/+z4XA5U9x4+9dxu72Txl0P3Nx2P6hcOJRRWyk7k2TtBfO2CkD74TOPQ2qIDL/oWUqN1iFQBTrS4xi9iTmoMDmdDpJIEytLQYlyXOqskSngIt7Eeyo6iFEGDsRVtI4mTIcN8QmN8cu3tt24glaOoFB9/fJdVWRNFGXHccvR0H2sbhDbkw5BBliEFhFoThSFN7AhjTVVDVfnwybaxGONAaeh3qdYnxoLAywwDEJo++FTgdxfGVDS1IE3GBJGgbguiOCXNhoShpmwKTDWjaQOqckYcbRHKgGf3T7iwmZHFEaN8yP5xRSs0cTwkH24gREzbSHQiKMsCYQVpFqGdZT474vh4n2I5ZbE4QSnLhQubgKC1JUoHvHbrIp/du89oGLK9s81qtURJ3kBJ0wAAIABJREFUy3/5X/znpPkQKUJeu36Tpmr5R//ovyeNHUXl+wdbp0nTMcv53Hciti1JlpMkKcui9k6SMMIY7xra29vj9Vu3uHHjOq9dv8GNG9fZu3DB28NFyy9882c4ePGCN25dYTgIqZuGyWTAZJJRFwuGaYAIU7JwwFe+cIvN8YCnB3OeHh4zfTKnKL3bRwJtuWS1nCOEYDCZsHSSuixZFZZFrUg3JHtXryIGIUeLBbFrqZxjcXqKefyYy7e/xPPZCZtvvMVJOeD48ISmniKKKZcmF7CtQc8E6t4B1wabZHHGz/3UVf6HP/u/WTzfJ2kFrBp2v/waU+EYS8dlt4M6mHEl30YeL7mZ7fLfffgR6WTMV977CX73j/4VUa7ZP1zyR3/6Qz797Nc5OV6xqAxCJxzMpxwtarLNTZamIIsVly5c4OrFC+RhwN0f/RBjClwryLMhvebv7/ohpeiGFEG/i29bi8ELi4302kYhwXW9pLLTx/TdY0WxwrnOTGEtwil2traIwoiDwyNOpnPqjkKzRY0ONZ15uXvU/uiQGuf8ZvEVvZNzZzfvPrOnF3L37itrGwR2Pbycj0E4+9kzOvE8AtP/+1lcix8Y4jhmNpsxHA45n5lnu0ymMAwZDAZebF23nQzDrt1fTdN0Q5ZbC959197ZUNUPXW1T+0JjpZAIL45ufblvpEPGoyFJHLE5ydnZyEmTgGJ56t15TYuWHYXUndWeiovjGB1ob04pCmjMWpMjA4lwjsVigT4nuO8F5eDzsobDIVHkS+h7vdf5ap2oeyx/XXlnmu2iBTzq1+V6KYGQAi30+jxKeaY/ak2Ldf1A59+bpqiI45ggVCACjBVIqQl0iFTeSejT4zuatWN+PDXbVxKdBUx7Os92TtNu8Gsb+rwyjyJ2ZBIeFUN6lkUiaOuG8BwSJ4UiCn1GlrEaY3y8QtP4TsyqKrDOxzKAXb+2QIlO55VgW+90lMJnv/WbhrOB3527Ts+u6aZp+PTB/o/x6T87PpcD1d37T5BdYa1zfpDyoI3oaCzwKIx3CEihwWmsOU/9+YJP/8HzyatBCEjjhxGhPEKl6GB5D9m3xi+CSocoaWmto2m960opjdJd+rHzF0fTalSYEasLzOYLBqOUixcl8+UJ+TAmzTKMc6xW+xwd7XN4sCDPd8lTzd7OhFW5wLgaLR2h8suiFIIoDH0+SZwznRcU5dzvAJTy7hulcVJghS87dcLnnRgn1noKn3HbXdCy2xFq2NoeE2cRxpSEcUIc5xjjqFYtQdggRMHJ6XPS9BYnh0doDRd2d6iqBh0mIBRhmJMMNwmjDBnGRFGCUQ3lqvYJwdaxXC7ANTjRYmxDFCoGw4yLFy9ycHjEYjlDqYR333sHpOLxySFbG5ts3rrNMB3iWoc0kulsxuWLV/if/8dfJcsFJ8dzgjjDGglKECYDojChbRpWRcHm1ja33/oCexcvc+X6DV67dYurN65x5fJVQu1dWN7E0GJsyXxxRDF7zPL0Ob/w028hg69grOT4aJ8sHzEcDL2AUwh2dy+wmh1iigVPnz7j0zsfsixbXkxLhqMRly5eZDKegLHUZekp0jwnSBKeTRcc1/BocUA2GFHVJYfTE1RtKY5LHtx5H7PaZ/r4Uw6/8x0efHSfqz/58zTHB7h2yZuvXWa5/5i8XnIj1DRLy+PHx9Tf/YTb3/gF/vgPf58fPj+hrGryUcijB8+YRDHxckm9EZNsaArrGAc5lRCEQcLw4hV+ee9rPJtPeXh4gAs2mFYBZd1w9Od3mc4XTKcLjo9PyfIRIoi5dPMC4+1dWmvYymJ2NsYoZ5m+OKCxNcM8pa5r7t27/7e4ivzNHg5o25q2NV05sum6Qv1gEQQ+m67PT2qN86JvZzyGbh1RGBJFPoalqloiHaNx5FnC9SuXeLp/xOP9I4yAKA7pKyfXOq0eKcIPWOYVQff6uVqHcb34vG9lOOvzgzPR+qtIUH9TOk//verMgz6I8fyN/iw5PQxDgJdCiMuyXFOJVVV5F57xjtxeNO//uPXvO6uv8Td4X3siO+ej9aufkF2kh8Mo5evghGRne5s4jEjjmDzLCLSlEsIjqrKjsboTKTuqi24AjbRHiLRu0FqTJinGtF5SYB1BHNInkPfP+/xrnc1mLBYLdnd31+ckiqK1GzGKIoJz59QYu67DllJ0yJ/s8rwUOvAxHZ5G9aW//j5pzsXsdO99R+dKKYgi1TnH55TlouswlT7oUvSmLdulTsi1Q9EPyP6cn9UP2c4kIbGmXg+HsqOzPcooca4liqPuevMDfBh0jkIh0TpD64i6rrrn7k0wAusF/84ilcObC73WuGkaTMOambKdaWadO9W2tNTgRIf42TW62zcWCCE4nS15enD6/2sd+JwOVI8QIui4ftnJLDsbcGeRXHdX+UlhDWU7Zzu06iwt1esFvGNAdA3Z4OsahFRI1wnfraMxhla0CBsgJD5mQXhRvGwUunOuOKWoWr8I9XRcFBm03iIOHMtqCxU6hKuZzmc4DFkWUhSnOCsJgpw0gcFgxHR6RN2syOOcqva7jzzPWBbHnJwcUVZeWxHFCa0V1LX1SEjr0TOhFDLsOv5MV25qhQ8yFd5ZoZUjCCN2tofcvHmJ8XjA7PQ5CL+LLBqfBrz/yT2+9MXLbO3kjEYxL55X3Lr9OifzBZPhFmUjiLMt0uE2OswpTIuoFFEc05Qz0lhjG8vp8RF1WTJMY2KlSeOYYbZFPojJ0oRFHFNVljRJuXR5j+F4m6dHJzTGF1ZvTfYol4amnBInA97/7rf5P//F/8Ph4Qmj4SansxLnLFEU01jYGm+AqQmXIe+88za/8h/+Cl/+6peYbG0RBDGmEkgipJM0rcM0DqnBmJb5csbxwQGxa7iwexEdpRyfLkCEbO3sEccx5arg4aNH0KyYHj3H1SsCWppyybUbN3ntnT22t7fBCR4/fMLdO59yenzM7uYWW1tbBEmKdYJISbY3JzwoLFYLHj99zI03h+hqyvTZA+z0GZfyBJcnFFVJ9fgRm99wpJd3icSSL33zp3HHU9LljCubN/iDP/wOzd1H/E9P/3equuRxuGI8zrhkJ9weD4gxfPKnHzIfS9SNa0wPZwxuvsMTGfLZvYfMHj3m0XciTmYVpbDMTES1NLyYH7Osliitkc4QJRF5HmOMw1ULZvsVG5ubxEnE0ewppqpplitqW3B4PCXXhqq6xF8MnPy7eThrWa0WXQmxXxeSLPU3u3NC7v5G45Gbhrb1BokwSnwhbkeVeCdczXJpyAZb3Lr1GvvHc45mS+ZF66mSxkcdd7B9h1Y5fB6V/4fzlFgfk9D393lKKfwLr8U7/M5HLJzprfr/74ep89b18+L1V4Xl4BGIPiqhH5KiKFprpXoq0Iuw/WdTdJq03lLfP3avreq7IteomBaESmMajcP51gfhaT+BR5qSOGRzY5MkjvFU64IKHz0QhTE1/lxKrdbaL90ZDqzzWUW+Oy/w9xzhTVJSawQQ6NCHurrzw6p/7r3YvBel98Lz89lb/VB6/hzL7jGCIGA2XfgMprZFBqLLsDpzlppzj7umeWU/QPQOUdN9/xnd6Kk3RxjGntGwFmcVoLDGUhvb0Xq9fNmtr70etXK2xbZ91VmnUeoG/v59juOIum4oy5Iw8DllTeOHU6UlxjasiiX9wCa7VPWm8ZpDa5qOZvWiegEdLWhwwiLV2fXgPwsWJX3Jc19J5KzvwNRKowMfdfHw+cmP/fnvj8/lQGWt497957x245pfkIXq3CYOL5q04IzPTXfO01pC+qgE7fyQJM+CymwX0CGkWnPiFv9zEHSwt8IKCATMixU0C/I8JwoTpNMeMrZdeKjwqI/WMT7h1SfqRqFEWIEWLSqMkYFjPj9kNp2zvb3F8fGMjY2c05NT6nIJaDY2NrHtkpvXLpFnCfsvjqltwHg8ZrFY8OD+Iwya0XiTPE8QMqA1sKxSnwlivBBRdpAnjfECQ+etsEoIsjTwO7BqyoXdMd/46rs8fHSXNPZuIx1ExBqWiyWjCeSDgHfffYOnzx6TZhmXr9/k/r1H6GwDEY6Iwy2CaIiTAdI1OOnjKYR1NNWK6emMuqwY5QNCrSialixOSFJFGClWqwIHJGlKmmVoFTCZbCCCAY+fHSKE4v5nzzidztBBgA4ivv2H3+XBvScEOqKqarZ3t6jrluVizmp5QJ3AYDBBhoIn+5/xx3/yWyR5w1vyXbJsE9dGSAFl4RfZIJSURUFRnZKEmhs3btHMTyjLmqJaYa3g0qUrDEcbrIoCqxU/+OH3+ep7b7O3t8fu5gjakrdvv8HDh/dZSMv+0RPqZc3x4QmCllvXryGs4+nDh0RZjolTNIrj/edE4x1e7D/lCz/17/CLv/gLfP83/gXyjWvc+84j2qNToiAkjOHFB39O9IvfQijJrYsjxNOH5FWLXjiefvSQ1Y9+QLEx5IGWJGpEpkdcGKW8NtrgepCQ0nJhZ4dqLHhw9JRVXfLhfJ8Vgh8sHnPYNujVhObYsjIllWxYuRKrDIPNIaNByq2LO+RhxN7WNlVRMp1OOTx4QbV8TjNb0cQB2zsbyEmKWZ1SHp+wLFe8OHxxtvH5O374XLMGISHQgUdA3ZlD7S/ro/NxAv789Dc4Xyviwx+1cgjjaJopaZRw+dI2dx+NWTw5wLRnESqCXu9yxv25czQYnA1E3sTjXhpO+sN2SeiCs6HrVUfd+ePVQfH8TbynDvv4gx5VepUGDMOQOI675oalH/JUgBWu06Gdb4WwZzb9dTJ6X9TsEQ/TxeBI4R1cxlhirVhVc2RbkcUZiRZkSUieJcSRpK4KtDCkcUCNQTSgtepQKP1S5l/deCNPXTf+3AnhS2BFF9fSUUvnB6PzkRU9stbTmB4x8QnhQRAQRxFNt64bzkIxz6NyQagIup/zspdOLG4aEIK6NesKGc/inKFLvQ7KduiV1xn591drtabD+utA605HZY1HM+kGWyG8q0+soQ6PVtlm/fPOOqww0OJVOEJ6Orv14YjGGFxgqWvTGTQA4ZGpqlqRJAlCKKypz4T1BnrHvxBnQ7/o0DArFEJC27Tn6Op+kNVr5LDpS8qdwqeaCO4++vEDPfvjczlQgaf9bt28hRCyc6+IbiL2IvJ13rzsc10UUvQaBl9KCX7gcsJ6y7J2KKH9m+QCsAlSxGvhrMAilEXEXcCd85ol+iRZca6EucvmwLU+I0QItPLPVYc12sUY2eDsKVJGgOXSpT2ePX0K1rBaVmRxgqmnvHbtAjeuXgbhON5/jpKane1Njo+PefL0OVXd0lRLykIxnmwzTHMmStO0hta03lGiNY1pcUVJHMWYqmU+nSEFDPOIKPAf8q986U12tgb84HtPCVWF9WeSKA5JVEId5uSJ1wjMTmaMxxNqGzDZvkI23iNItxBMfO8hgjAJUBrquqAuKorFDNqGQZqRJxnCGaIwYpiPCEIQ0ngHiw7J8hEOzWy+IIoyxsMJYbBB3bZ8dOcOT588J05jxhsbfPHrX+KwWvGvv/cjvvETP82t69f50ff+jCf371Es5jx/8QwdpCRJwJ1PP0KHgtF4xMbGNq/f2sIp354ehoKmbrC2RkpDlkYgwdmK0+c1cZyikCyWM0xjKVcrsJZmuaAuS9568zaL0yPiAD784cfcufMRs5NjvvizX2cxP+byhatcv3wZDOxt7nC4f8ByvgQd8Mnjp2RJzsaLU1ZpzE4yZGecM04jblzZ5sWPVlwY5UQhBEJBmiEax/4Pv89MLYkvj5nYgrv3HlC8mPP83gn/H3lvFmNbdp/3/da0hzPWXHXnoSd2N5tkU5xEiZIiGhoSBVDsJG+BgzgI8pYEBpQAeQiQAXAAIQGCIDCQGDDyKDuWLdiyIllIRGqgOEgkmz3c7jv0HatuzXWmPa0hD2vvU9WSnQAhbRHUBi5w63ZX1Tl777PXt77/N+jDBWqlz8RYSifoywShMgoLh6EhF47hIGctzRlcG7A3PWZ3NuOtZ895/+CEeXBkZwWDZoBVDoxn2EswPYFUlqbc55d+9l8n9YFRklIvFpyd9Mg+eRMp4Ch4vjubYILETivm1YLJ2Yw0eNJE/wsX4x/FQ8jQ7pYbvA+UhWsF2efC44uACliOxTqQE3VDkmAbvIghntZ5vGxYHfW5vL3O3vPnzIsZUmdEJ0o3ajuvoglCtqOqc7F4+wUdELs4lov/ue2/813354X3doGpApZsSseiXBz/dYxSpxvqwFuSJEuh9Ww2WwKMJElIkqhJit+X4GxkT5znIwCwO4eqnUaEcOF1Le81hfcxb2k2mWBNnGn0eymrw4zN9RFXNjVKVMQg0IaslzPo9zjYn7cAJIIopRRSa5RJwDmkD6RZFsd7QJrnCBGd2o31eOfRyUd52YtA6uKo9KKD8eJ5MOo8sDkSAh1oYunI7HRLoU0rjz/Lc161+OfBXLx24s8BvKiPku25qKL4PcSpjFKK4M7Hv3mete7AOoJuwpKxC6LlKBSIVk91fo0i4AkhiviFiHEWwXmaxi7vna6OxpjoNOzAsrV1e1+GqBRWCinj+M6HsCRcrLekmUZLSVlVGKWX4v9YcXPOBgYflvIggPe+j8qZ5bW+KCb8izrEP6dB9T/5j/4Gv/pf/1ftB6VLc/X4YKOTjCgaNCJ2ZdHGxseAMksV6tY1EhdxRyxPDF4hRILRQyCDoBEholoBCNlS5yQRCXfOwhZICdHdeA6lRUyppUXvrVUZO8EYRVmd0NgJu7sPuHp1nUeP7/L+nbf54M4ddja3YhicVORpj9de/ji/89v/jKqoeF4mWKGZzxf4ICjLhv39I45OJpS1Jc16jNc3WdvYIOv1YvK71uhEI62jnM1ZTKc0VY2tSmRouLyzwsdfv80Lty+jVMODBx9wcnIEQaJVSp4NISg2N8a8/MINBuMRaZ5hshyd9lDJEGEGVLUiyTawtsG7CiVrvJ2zWJzgqgUr+ZDhYMjk5IxqtsAYTV0XCOXJeilNXdFr9U9FJZnMHUl/zGB1i6yfMimfspjPyLOUJDG88867BJ3w+sc/iclG/NVf/ve5ffNFxoMxn3zj4zx68IBf/wd/n43VVb7zwR5ppnj1tRcpqzmf+eynefPNT3Pj2i1u3ngZRUJVeebTKUp51tb7FItT7tx5i8dP7nN1+3U+/eZnOT4+YWVtFSmiYxQcv/I3/1PmZ7v0M82gl2KU4PrVK2xvrnN6esqk3CfrJYigmJ3O0cFAA8cHxxSLAh8EVmnUaMyRDRw6xanMOHGSwcY2Y+WZPngPOT1lJQT8oiGYAXM1YIJmtCLQiz0G1RFv3r7O9Z1rHJ7UzBvDpCjIFRSN5ayomVtPQWCmHKWsMKFmRwoupz20UpxYx7fvPUEmA15+8Q1G+YCT2UPee/9tJsWUrUub/MRPfJJPfvxFNocZ0/feZjNboa4EWzdeYXXnBt/86tcxezOy0vHbTx7y3p132D88ZjSQvPnma3zxi59FiJq/+b/8Qz58fvYjj6peuLYZfvU//2vLKo26iTltxiRI8dGRjLU29rQpjTH6gq6ltdprRbAlZd0gTcqibCgaQT5aY+/gjN//2rf49vfewxE3Neea0fNFtHa2s/B085nW8RslC1HLFFscmqZpAxjb3J7QaWTi8f/mqAM+AhbOx5p6ycJ0qehZllHXNdPpFO896+vrUYPU6+G95/DwkLpuSEwcC0rFkhkqy7K13XuGwyFCCKytKcty2f8X3V4S63ScLIiA8A1GOrAV457hlRev87GXb/HGa7do6rJt1vD0ejnaKIJX9LMxSqnliCn+e9TRaiURCvq92GEawVB0nDV1HcMm6/Og0YuAuWO7vPcsFgvquiZN0yUDpbVGtMK4Tgh+8bx3wKcTUJ9f746JUgRlljKO86BWsRw1JknSXucITmLPo2t/V6CuI8is6xjGmiQpwcVwaK0NSkryPAcCRTGPa7Dq6mQCla9bt15s8+jeH0Da9uyKdqITPMxm8+gaBFzwmOS8qkdrhbNRW2WMjiakpsG311rpzuHuCNFOhvMea2MmIdA6A0V77tMoiocWjMXrVtc186Lk3/rP/va/8PMdOuT+/3H80DJU9z58DDJpZ7Dg21Gf7zZYIWZInY8UukoHouDcpWglkEoQpEX6hoAlIHBWgHcImtgALzWR9fSxBwlL4wxaK5TWxLDQtj+QqMcSstMM/JkXLsCLDJIUmhofGlbWLqFMwmi0ycbGDnVVc+3KDqdHRxw+P+DNNz5OU8/Z2lzj9GQCg4xp7UgN1I0jMYJErzEeZpycTTibzCimzylST1VoXIhxCGmagLXU8wWL2SzuqIIn7yVsruVc3Vnhys4YrRrGvducna3FeXzQzKYV/d6A29duMuqvk6U5w9EqtQ8k+QiVjbCkaG3wwrRloxopY/LsaraCkisIu+Do4AFn0ylp1semPWqhyJM+KusjlUWgCMEhFQzGPaROY55KEGT9NUQjWF1Z4eD4gMvXrnH1xReZLUpkqvjv/9Z/y//2P/8dXrt5i9QGvvCpz/Dbv/lb7J+csnVpi/3DA7793Xe4cfMKDx4+5fWPf4qdnUsYo3ny6DFraxts76zS1AvwNc5W9HsJL9y6wdroMlXhSbMhickxWiCwvPXWd8kzQ8KAW9fjaPbZ08c8ePCA3//qV7l8+TKDsaIsJetrm6ytreGtQAXFaLSCt1EkejyZcFwUXNveRJwtWJzOWEn6VEd7LCT0E4XOM+z0DNtUuEZgBhmhqCjLKWtiwhu3tvnE9W3SXPFs9zl3nxwznVVc1oZpURFMj0FvlSxJabxnoTxBK4zJSFSKkIq6nvLS7Zcpph5/1PDB03d54r+DUvCpF7b4zEs7/Ds/8wJCHDE5eUY4OcNqxfYLb3L5tc+xcf1lZs8K/tk3/g8oSk4P90il4PWXX+D1V2+ysTbk4ft3MEZ0gR1/CY7OSdSN0tpnV4jjBWf/fBjleRFxdFd1yeICzvPkiBVaBiBEnag2UWQtYioYXaHtxc2xbt173Tgmml0gzl9EuzEVOJe0o7Wu+1O1z0DJn91sX9T2dF93ILFbNLsuwz/LTnVOvqIolkAiyzKci4y1Uop+v4+zE+q6JssysjxZApD4+1xbf1KjdQRv3e8BaNEISidRoCw8WIsUEZwN+jnr62uMRgO0VDjCealwXVGVjvXVbQb9Xqu7iQAtEF3WQqplKOR84UlM1mqSHNooyrqmWhQMTLpkf7rx5MVU+OU1upBSX5YlVVWRygRPWGrDLoq7O03ceTTEuQOz+1kWGY1Vy/T4OALtwNT5WDZKa5xz+OCWo9jO9dme0DahnaWxIr4XFzfU3scsrkRjbdREOc7vo+4aQ2TWEJAkptWOCRblnDRP4rPOhcjEttdY6zjq1KlcZp518Rpden/EhJEVFEJiXU0QXYmz/3PGiXiLtkaF1lwWS8wd97/PQM/lNf2B/JR/Cce9Dx8iZEJHY3fzW1p5epQIRdq8E2IKAaLNozCyH/NchAXf3YS0TKgkuOh0UIj4gYs+HXxo8KGGkBFC6+6gi/aX0cLqYw+Rc3Ge3t7rUd9FIM17SGXQyZBAIMlSvF+QpGO2t29glGF1pU+WJORpBgJmixlCxTGVX1gsgV6SUTcO5wxar+Bs4PjklLPJhCd7+5wePkIahTIJIvSRISVYR7A1eRLQUpCqhK2NVV64ucONKxtc3lklySR7Two2VnscH5+ymFkWk6esjXq8cOM6dWMwWQ9FRpYlqHxM1XiSfo9E9ZlN5jTVnEHfIGUSoxgGaxzt7zE/+CrzRYU0AzLTQyeavNeP3YleobOUpqyxwaGSlF4+QGV9rDR47xgzpskTTp7uM9pcpZ/C2WIWU9B1wosbm/x7v/RL/OZv/J9sXrrEOx/cxa/0OTieM93fY5j2mc7OOJsueHW0Slk1uBB7Dm/dvhkt6Hu7zGYn5LlmPjvj+OiIuilYGToWlSNLU6TQKAEq1cwWM7Y31sBqppNT9veecHJ8hJaKnUuXyPp98twwGiqEh+PTE46OTinmNQpFYgxpklBUJaXzlN5TzWtev3GbgoRpaVnMZqQyB++YnJ7ExGNXI6oCXzkSVbG1kvLqtUtcWe+T9DIWr1zhSTHDjxPm01MKKlTlGJwKlDUMEkHvygqXbl7m53/sM7izGb/xO1/BNuvkvSs024I733uX1aMZDzcFn7m6w83VPsPFhHR2xsnpHn/w1a/j7AarOztM90+43d/CPTnhg2+9x5d+5q/wZPch8zuScnOF7c01hsOcxdkZPa0Zj/p/aeCUEJIsiw0CTdPEZw/n+TahHa4rGRca586t/xE0XXDMeYlzvn3ySbSRaBGDC52Nu/SOURCdPlR0xbTnXafh3JGzdAN2477IHFlqV4FSmCxZFs7buokL6QU89VGB83mFzj8PLHR6nfMohrD8ugszDSFQ1/USyHVMTn8wwDaOxtYUhVsW6IpWSN19j3Nqqf2RUqJaYAQC0RYNKx3XCNsUDFLN2voKW5trDPs9vGsIvmnziaLbzSQpEmjq2FahlVw6EvEuPuMBbUysXwoC4RVJ0iMEGPZGhHSB9DW2rRA6jw0Qy/uhE+V3WqpOjK9a4CPaMV9kCT86PlzeS8uJSPyjTdRWOQvBeZxvlvfYRYaxq43q/lgbz78UYNse2dan2da3de5MTde9572lqkrqugRSsiSORoWS4CRJkpEkZmk4uDhivJgNpZRCaUFZVVhnycwgxmII0YbdnjOfZ2dnLTjrdICtBMq2Rd0isCgW5HkaHfLtZ8G3uW4xDqKBIPDL9xT1ZWma8nDv+3P3Le/9H8hP+Zdw3Htwn+jUaxGyEATh4glpRWTOWVywsV8pEG8y2uQq2RYj26jmF0Iv+/2CFBBiFxLERNkotLNI6VDKIYhJ387XCGLOVaTu44NIoAhEajxWPLT23RAj/mPbpImdfyJBiBSCxDetiJ7CeF4gAAAgAElEQVSSwXCV8XBMqlOOjydIpen1+lRhyqRaRJFipklMn9FwiNYJVblFWVU8ePyYw+NjTqcTrPeMxim9fp8QHONsK1LYQpEoyfbmGi/fvs6VKxsMck3wBcHOsQFyoxhuDOhlPS5t3yBNNYPV69j+mGZRkwzWCGZIsI5yHlDSk4gGoT2ZibEWQimO9p/ywfvvkzYn9Ho5vdbNU1cWZRRSpixqS6IUQmdIkcQrazRm0EdLRVWUzA+mHB0ecVZN2B7kjFbGSFdibUFmA8xrPv/Jz/F//YPf5sMP7nKgPceuphzl9GWGWQSur99ouxNLnj8/4r07d3nh1m0ubW9TVXMGw5w0CRTFlPl8Rl3X9HoD0ixFyiwCVBFLgovplHo+ZTY5oSmOODs9JM9Stre3WFtdJ8t7TCYzoOH0+Jg0zfFeMBiMGA6jILcqSyrfoBPFOMkpbeDm1hpPnz3i+ouvs9nr8+7zPfJeQh1ETAX2ASMyFsEjg8cAa72cyfNd7DjwyU99nqezt8jHCTUJi3VHmBj6Tx2DoxmVhEsi5ZPVBl/e+jyXf+Lf5feN4d3ffc4L6QrzqmGfU06N57Q8JDkx7HzqFWRfMrg85O6Tmqfv7rL7Xo2+ZEizMUcncx68fZdHf/xd3Kzi5vXryIHk5Ow51XSCUYIUx2A8pKrn2MV8aeX/kT9ae73zAR/arV84Txv/qNNKtblxnYMtjga7rCUAqQzKxxVcaYMGmtqhlcRbS5poyjrCNNkZbkTAOvcR9qI7Al2F10dfS2MtCN8yZBqPxylwBJy3yBD73KC9lO1r7Bipi26+c2E6S7v+xRDP7vV0rEwnxO7YkchW1a0o+7wM/vz1novr40jLLV8HSzF8oGlmYAxGGbQCLRMuX9rg+tVLjAY98kThmoLgLHiJSTQiwLjf42xWxk1xmmK0iedGSLI0aX9N9JzPzib0+31K58jWUzyQ5xnCg7caUUdWRShNliYE76jriqhTCx/p6evOZ6oTtDzXTy1ZKimW4JHgECGm6wvRud093lusk9RNBPRLzV7L0nRj084c0R1L19uStTrXPUkjo6M+hBaT+xZohzZJPUUr2Y4fzw0YndHgIpMZR2zn0Rx13VagtYC5u2eiUzOyeo21sV1AK3rjftRqWQfSI8I5gyuWWsHItGmlSIzGNg5bx0R6bZJ27O6xtqYoitZ0EE1p959+fwnp3fFDC6jqpuHh46fcvHa9dRLIpfBQtMJKKQ14S5eFIbvHhvDt33WL5GMIGjhcE8MfvbOI0MQbB5DCo01AJgJpBIkKOAfW2RbSCawXscJOinbnFR9GoctvaTNdvG8IxOTZIBKENDFKP5VkeZt27maUxSlpIsiMZnV9naK09PIhKs2Yu1jeq5RgZZixMu7HrieTopRmZ2eVNM+ZzRcs6hJtDPPFgr3959y6ep1+1kMJQWoMG6tjdjZW6fdTlLA8fvaYfn/A3sEJWb7GePMGY9VHZyuE4Sq7bpuEnGycEZKMalEgUGhpUdKjpaGfDqnLgqYp8N5ycvCEpjgiFZJektJLUqqgsF5gnURoA4mhtAElYmSBlAonFLPJGWfTKYdHx7hFwtrGJdav7pCuxTb1crpgKA3F42fc/61vQaO5Nhzy4NkjPjh6Tr61wq2VDaaccbT/lMEgZ3VtnfF4jdFojcW8Jk1yikXB0eFzBBbvKg4Pn/N8bxdnLZd2rjJeGWOStajJEw6lNWezkjvvfo/nu4/ZWEm4ef0K62trPH22ywcf3EHqFG0yxqMB2lnSXnwQKw1JlqONoSwLbF1SFXOuX7/G3v4hw/E6aysr1LZgUQZOHj1gePMWzXzBqD/gcO85KpcsmoYgElxjqYuKb33zEYoFr/34T/Lo7Qf4h0/pJ5KzkPL554ZP7wcOBjXvbwsGueGW0GxlPbJBzpMP3ufqy9d58/rHIIG/9we/wYlYMNrM+MTmx/j0Kz/LZz79Eh+7vsL3vvJPefrk22wObrDx6ufRV25iasndu++Ta1gZZ3xw508ZXRnxsZevsXf/MYtiiq8KZvOCJNOsr474CM3xI3yEAGUZ2ZNAQOqOBehGcW0golAfiRiIYl25XPQ6x5JGRWY1EHvZEkntAlmWMhz22drc4OD4jOm8xjobxxlttt7FztGox/moQDkuQm15fNNE7kwbjIl9p77NTDK6zSIiIKSMYMtGRl6FgFExM6sDZx0oqqqoX+n0YhdF2V1UwsXRVfe9TdMwnUwji3Fh8vRnIxk6Z1zHfi1/VgsijQpo4RG+Ic802+sbvPbSTW5du8TquIeSMafPSIEMDuEF0jvqNsZAyoDWsSfO2gqlTKulFMznc6TKyPM0usrqhsQo5vOCpqro5+fC8zhmiqngMWQ6Ri3QSkVCcEvw07E5IpzrpS66OOE8IXw5tSE6G32rH26so3Zdonqnbev0TedO0xA6AXjHHor2uuTMZnOcc+R5GqM7rI3uSQe93pCmqmkah9aKJDWEdmRb1xXCaJQ+r9G5qPW6yFTVtV1WynRArhOax8DSLtYoIGTsIqxqGwGpcJhE4G1BXVVkaYYSGtsE8rzX/vyYg5VmKc7Ge6xLihfBYdvxcwUkaWS03v8+E9K744cWUAHce/Aht67fJohzvYBoedeAQKmAD1XLSYW2ssUjQkBKByJpgy0lCNeWDc9ZzKItPtEpEtXSmA1uVqJNYLjaJ+0bPHIJmIRUGJPGRHXn2rwZ6DQQPsTeJNUBt5bhCkHig8ATQ9hM4gleIEXeCjdjeeT69g6NV6QmY3V9G5UHzs5OqauKQV8zyDVJIhkOUkbjFUaDBIymPxzhheD0bMrh8RFbW6vkOkEEQWJSRoMBKytj8lGfoAWTpqJOdzgta/KtK6yv7ZDnI3zQhKCxVjHKFEmmacoFwlk0FbYpMf2M0FRMT47QWkabbqixbk6zOGGYB1aSMT0Td9epTkizAbo3JKheHGVgqWyDkYLRsIeWgsdPHvPOO+9y7/591rde5PM3PsbK+gpC18zm++T9AZP9XY6ePOD//s7X+IPf+wbP9k8Jgz5mfR05t1y7vMbZWoI/nTGdTfng/ff5xF/7t/m5n/9FTg6PODk941t37zAa5FRVDBzt5RkbG1sUixKTDJFa01jLoJ9hpENrR6IlJ0cHvPzyC/jqmH6ecni4x2x6RpZnZNmI2y++xJ337/LKzmWE0hxN5pxMZqg0xWQZTVNRVwuO9vcoqwWnp6c8evj7rK7vkPdX2dy+ykpqGCQpyXjMyqjPo0ePscUCLxOKTFP7Ht92OcfpDt95a0byew9ppj1Gts9xOUfainLu8Tphe7jOvpuCC9RZYNHXZFXB4mCXzUtjPv0zn+LS1R2+N3mXew+/he4LvvyFn+bHX/sZegMFJiUZXEVlO4RmyuMnB6QyJZiUyaykX1bIxRn5aY1+UuOKmlSPUTJuMsajHsPxsN3E/OU4gg9UVVuF0ZpVnPPLPCKIIYNenuunulRrKRVGx8oSo2vwdcu+aKSMoZBNKzw2RnLl6mWCiDl4RXVCXdRY12XyyFYrdZ7V17m7zsHV+djPORvJ9KhqBm8xutWteo8SrU0dSNIEkYpY6utBSIVt4tgohpYCLuBC03YM8hHA0x2dvqVjsDpGo9MBRXBVLbVBkck5z2nqhP8XRfFxOhHlG4N+TlksGPSGXN7Z5MrWGq++8iKjXoLCIkNDL00IQUWRuQwEH7VBRhu0EiQmRiLEAuc2DzGA0gKtJdvbm5ycnpJlKbPZBO8DTV1jpPnI+3U25hp277sLnIyAKyCCJE9yEpMQfFi+xwg2W8ApY63NeR8drZ44tPeZBSfaIFK9BFEdc9Oxp/E1XWAtLwBs1baHZFkESM75uIbG/5OmaSiKyOoJKSmrMgJb56MxK8Rg2tBqCTu26SLo7Y6uaqaum+V7VSJ2FKZZFs+7i3lawVnqpqZpKryPYvSmsm1ZdCCIhiAtSMVweAlrqzhulYE00YQ2YLoDWZ08SHYg3DlsY/ng+0xI744fbkB1/wFf/ql4U8Quvws2WUDIOFZzxF6rjvb1MgZqRhzfIGgIoca7AiEakjQQHCQmPuScc9SLksXiFKEsqCKCJaNbcR9Ip3Eu9kp1waCdUNBaj23aZFsj0ThQNtpIkXivwKdIlZNmGiE05WKfvCdIU8d0coRJM3rDil7WQ+uM3shzdHxEMV8w7PfoZRkCSWIMWnpWxj1cO/Y8PZ2yKBaMMsnGYIATayjVQ0lBmml6wwE6TwnBo4VhZ2cI0qBNjpAZeEMQCUqmhBAfVrIuSGiQdkGagG8muFBim4K9xw8ZDoasjEeYNCVoy6inWRDI0wQVIDQOk2hMNsDpjEUjqZ2IINe083iVIqRnMBiyubXF6ckJx3u7/Pav/RNuv3ydL//ilzDjDSbFPk/LM/7kyV1+595byK2cppyTJAajFFWxoJhP2b68xWA04Ctf+SqpMXzslVe5ef0WlzYuYZuKRw8eIKTi9TfeoJhPGA0HlGXF4eEp6xtXmM9qBmONUDKOc0Xc6QYfg+QOdx9z7cplbFNx/fpVev0xi9Lz6MkzJtMZR0nMIHIhMBiOGaysgpYcnRwQGsnG9iZFueDa1SvsbO2wMt7knTv3ODp6wurWBs4/5+aa5mWdcjnPea9e8F4WKMeCntMYHbjUW0Hakn/8e7/HlXyE6u9ggZ0QWBEF1XFFVdS4ukKqhLBuqEYGvTmipxyqmdHPJQfPHmBP9llxDbfGA04+fJ/3B28TsoKv20Nme3epnEMbgUqBcoKbxTqH0+aMPK2xzYTVxrLVG1IIwaJs8FhOpwvm9Zz1zfWlluhH/+hYc7XcvHX2806H0rEEMa6gHZERHVR1XccxkJQEdMvQdKMYtwRYidZsb64jVcLJ2YLj4ylSOXyIgvauQUIALLOQ4mZThMiKfISxaovThZcEb6kXswiMhER0GiUkBIctLUmSogTUrsFZSZoY0qSt42ocCQYjEhpXtwtdiFpAmbS61XNtVdfN1i105ynqAeebJaMSmQt17q5W5/Uq3civY8FCPaOYVQwHPT73Y5/klRdvMT09QOLIEkVTlWSJiZtx79rrAL7tSXWubpO943kzXahnCCgZ42mKYh4rarzDJAmNrej3BxgjqYpFCx6iu1EAVnR6IEHTuFYi0orW5XmOFkHQNJY0TVpm02MS3YKbqLNrmjiR6br1nD9nmRAX0+PPnZjex1Fx/LoD0i1zI6OJQCoNQZKYrB2nNtGJKmnrfSLIlUKgLwJG55Y5YsZEB6GzHqd9XKu0ie57Pqqhung45zBpZAGNMfGTJKMfNdSCqo1Z6PUyCJ6mKghE6U9VNlE/HXJsPYWW1VJC01iJkB6TZSzm01b/HLWB5/pFuPPh3g+MR/+hBlR3H9xf7o5avwJ0wvR2xBZnRwrhuuLkeNKkqlFa0ZRzhLY4VzGfndDYmkFvQL8/xNkoomuaQGNidUtRlZQHM6bzBVdu7rSaziiim8/n1FWDUoYsy+n3h23ujMC5sKRaBQKRNAQhoiMuCHwwSJWiVYJSmrKYY50n15I0a/Cupj8Y0u8NcdbTH24yGOb4xpKlKYEE6ySBqMtyLsdXDa6c0stS8nQBVBBq8sEGSg/wwZPnCb1+D4g7KK3z2GVoeqikh3MK1wiETNEmB2EITUmo50BNY+fMFycc7Mc4g8nxhK3V22SrGxidIlyN0YqN1RETPUeHGt2AowWeIf5860UEbVqjCORZQlMtmC0mGJPRH41p6oa3vvFNDr67QKTwP/13/w1/41f+Az71U5+gbCwPHn7I2niEKGHnjR3eev8+aU8zurLF+/N9XlnZ4dbKFpd2NvjFX/g3+ZkvfYnJ6ZTRcIhrLD/90z/LW9/9Fo8fPcVoKMqKXm/I1WsvEHzCtWu3sF4TbJtEl8bB8falLR68/x0u7WyRJopef53TsxkPPnxCEAmNk1y/cQvmpxgVA+TOipLn+wdg4kKlVI5RCYtizt5BgbbrGJdw/co6cpRxvOhxcHiPWTWjUqu8+OnPcHT/HgfNhEFfo88mBBeYNA0712+wPdymOK45PC4w2QrXBikr4xn9y4FicUKv0gy315Grfeb2jOnZHu70EPv8KQcfvMvXv/FHHL3zFj/38sv84ifewE88f/jBN5lMdqE+Yq0XGI8UzhjWd3oM04yT57FaxpmS3kbGqlyld3BMtb/LaU9EW3zjOZmdYKeOgmqZuP2jf7QjBSEJwuKdb9kngdFdeDA462ma2POnVGxiiEDLASJGJsREvAimaEXmImbqeSxpajA6bkp8iBUrAokxGUoKXFO2rRGBsJyddY6c+MiXbSyCwLdsgie4BiOipivNsphmXVUEAlmWk/QyTk7O0EoicRBkXDxdfO1SRGUpoUErQCu8iMW2xhi8EJSVw6DQUjIajcmytO3oi5uWbkSYJMlSW9WRG50Oy9ooyr84+oN4joxyDAZDvvSTX+RTn3gdjWdzfI2N1RGuLrBljIUwJosusQuMijIx3qHpUryTyJgkJm1ZOY9tGqqixHnXFg13wvwa176uzunZha3GUa9EKgFN51ZstW8tmLTWYlQEk01Tt0432b7HhjRN2ggJCG32YQubECKO1KwQy8gBoAVLH60V6tx93Ti6SywKPmqLjUkQAmrZZiwG2zJQ3QosAEOWpbHapY39kO2IM9bhdFlrrmVj2/9HCBpvSZOUuqnJ83ypH4vEhm8DRNuxYYhSZOcCIDE6I3iLk7ECrapC6xAFSUDQRGbOC0KwNE3UOzvfxPOAQ4YuLLYzuSnuPNz9gT0FfsgB1T1AtlEJbYC98BBUu4sSaJMhRaDxjuBawSU+7rzsFK0aoGE23efhh/dZLBbs7FzhyqUb9Adr4GXs51MCLxz2rGE6Lzg+fYJIrjEYDBgNV0hSE4XovsS5QF15enmk7bXSiKS9aTprJwVBREuzswrpPUoKUAmQ0V/Z5uy4oKodWX+IsyXaDEnMkLqOegCdCkKmsVITWjGjlBKBQlrIE09vMIJQ4X2JdQtsU5D3NkjMgLquSJLWiddUNDbEsSUJda1iVpJIkCpFqowQNKAQSlCc7XJ6+ITT06dMZwccHe9x6dKlZYHxyuYOvqwoFhV5L2aFZHkC1pF6TUhyUCnWgROQJD2EzgGJutDi/ujhE/7Rr/99vvWNr3F4dMJ8UtE72UaPDWfuhP/xb/0qP/EHn+JTr77IyvOC2xu3ufvBQ4Y7m7wrHlCrwGCtT15YSAM/+fnP81/+F79Covo4K/EuVgvM5wtGwz6fevPTLBYnPN9/xnxR0JcJSTrAWc3hwYTx6gpSxRFO8B4hYWNjDVddR7szTo6PKKuaRWFJ0z794TpZb4xDEIYptRDUhyXJ6T7r+RlnzYy9co2QbJP044NLSkVVV3z7rW8js1NWNoek+TZVIdnXQ8LZjOf336YZKF568yUyHXhZXcNcWuPa5z9DqXr873/313l3dw+drLNGj3fu7zJL9ji9chnTSzg4DGyujXE9jVhN8D1PmB8jnj/jH//d/5VslPPK+pgVW3Jy5x3K0yn52mWurPcZeU3iF9i0YV9UHE52aaxhPe1zPFkgB5K6qnh2cshmadlMezShxrsASpCNepxMJnz45AlVXf8FPT3+1R7dWM17j07OQwQ7PY3Wpl1UIAqT28RsY9pcnvOwytbt3v5cYp4SAe8bhDDRkSw8ZVW2i6LCOUGM0IsCYGMMdROBnVTxedmNgpQUEKKOR8moz2tsjXeWVEc3VDmrY1lxHis/cDUyCEaDhPFgyOHREVIFenlCUVTYdhFPA8wXUwbjPrVvGA77sPB4AmVZIUQrpdAZs7KmtmXLnjjqpqRpoiasS2qPLEK4UDUTqKoqRtq0i3hXUTPqZ7x89RKvvf4qt2/exNuKxjd84lOfYD454WRxRpYaaMXLUoJt6jhhsI7UxLFTXc/arCao64bNjSxugsuSEGB9Yw2lFHVdMZ1O6MwHiU6RQi7XgS7dvYuu6JioTmwfOwZ9+/cW6LYBlBGkxPceQmQwF4tFu3GPYdNKJmjRVddYgowApq7qNqJAtung8sLY7aK+qtUtKUPXGCJaZvIi0CvKRRzpEqjKijzPI/AK8TkZXZaaAEuAdDG8tDNihBBQbYuJ0QlpkhE80SxG23eoZMyLCjHxPZoa4jPTuajhE6i2/y+ghCNNDK5RCOFbIXybmu+iUzo6ODOiMzAQQmcoaxDScv/ZD2bcBz/kgOreg3ssvap0N0Mn2IuYlGAAixAaZPtBITokhD+hLGbM5qfs7T7m0Yd3aRqLlopEJaSmhzYDVJrQS3OkSZBaY5KMRTnn8OCA4AV5OiTv5QyGK/QHKlbQuICSCbKrH6Cj1NuLKWoQFtc6MGpft05DB6JG6oRsuBl3NMKgjUbrgLMOoaIQEBUwWsTOuW6n0IrxpdCxsVsKpPJRaO0rrK0gCEIDUqR4J6gWjroJBBIwPaTqIVDUtUCohDTrI1UWWSQvmJ+e8M4ffYWj413K+gTkgsnskGvXN8mzIStrq4gsZ340id2IWc7keJe6qcgyRd1E2642HtNL8CrFCgVSIVFIZ7GLOacHB9x7+12K0xm3r97i2tY1ZvOCZ5OM4caQ5sldlF+w+yfv8OXtm4g653D3iHJS8PD4Hea2Jqkr6v0jtpUgf/sRv/no11BNw09+6a8w7G3QNIqmsqyvbZD3MlQmkKcwXh1HYWLpUTIhBMNg1G9D/GIab7AxDdh5z8nxMbI6wVnwPiMbDvEmYxLgyd4TbFVixpLReMxOb5V+cIxXMjK9zkhscTpNkdLhvIogdnXEykaOMXNm0wP84oTcpnxnd8HwuGCyd4zcSdnMFJ976RY/O95hMk546Bq8lvwbv/xX+dP/4W+zubPOMPS4Nf44cyF5PNIcnR2xmB2xebpOMitZq85g7z6To11++Sd/nPc/+IAzWSJCyrqVmLriY598AaMto6bGPj2Cak5QkiT3bG/uMPYps+cnaCHJQoKsBCvjG0ynu3zn0TMWw4xsNGBre5tL2+uYk2Pu3r2P839JGKp2bNTUFmEzlNQoGZaSFe9dC5QEeZ6fxya0O/PodjJYGytNlkHDQqC0RHlP4x3eWaqyxDWW05NTAgJtEmprcS4gvCdPDUpqjJYoHdrxSJdeHv89uAbaMZjXiqKMPWgmSIw0mMSwc2mH0WhEVZY833/O2eSMa5cvcWnnEokO7B8cYJvAsBc3ZItFQV9JgpNsbYw5ODlgZ2uF+tmCs1kJQUbGOlissPhE4kRAYFEqIEKJpGiZkbjw+aCR4txBGN2DMbZmyWBJQa+X89Ltq3z2jdusjFdQwUJoSI3k8PlTFrMJqdEokWDrKsIKIUGoGEuRJAgf8NaSaEOaZkgVnWJFUVGWFUmSUJYFxoyWzkPvLbPZjOFwGB2QtvmIi7KToXQsGJxrwSQR5MYRo1iOM/2FBO+6rrG2WYaXdvUpopOlh8iEuhCjhBJjCElkn7Ikj/Uv3qGUiML1pmUTW+ZIK9MCnKzVPzXUVUPdVATftCnsNrrmO/AqoKpKtNQIIjMtTUJzgR0zRi0ZxA4cd+87/ltYFmJL0Tobl0xajLmpmxj9oHUMx21q145d87i+o9EqQyuDs5FJdb4bd7qlSUFKiW2igQw6Z6ohel89dx8f/8AeAz/0gCqIToTeiilD1CVFBZ7CB9nOjpNoMVYBicV7gSQwO9vnyeOHHBw8pykX9AcjRoM+g/6Apm5D36RCKE2aKlZ0Qm+4inOWxqYolQOaunJR42BSRJKAF4TGLW/siPlCzLHCxVZzAso3mCSglKWqD6hsa5l1miSJroQQuhuhpXGFICpMBY0LS4u1kF3eR0JVQ2jiB9GYBJNIhPYgG2xdIpspRie4EKiqGucVSdpDyBxrNS6oWMRsJMopkG3/lQSTDiiLgnv37jIcK/ZPHjJa6eGC49rt61FoW9c4Ar08R0hH4zyNg55OOZ2f4gX0jSX0PI23KCnopRlGaurFHKEUojfkF/61L/PLv/CL3L93n69+9Q+5d+8Bu+6IWlT87Je+SDad4Pd2+c5X/xgdAu9NzngoSz5cnDJ1lo35gsGkZEelbMkG24N33v42edLntdc/Sz9fQ4ucpnZU5SmIhrSnSbOYMp1mCYQUbxPqSnB8ekI2MqQmYEJDVc7Riwny8BCFRKQ9rEqo0Dx59ozp2YS+1Hzs+k22tjfZtSeQGSaF5GRSclQeMxpnLKaCTGrwNbuHu5D2yEc9bl/eIVUBVRTsiJSv7RWMhGCUr2C2xxy4hg8PT/jan+7yzfkBX/yP/zpptsHqMLC+tc6VF7b561/8OZ7/2u+yd+M2v3v/2zw4ecbnrl8hT/uEqmH3+S5f+Ud3yL3i9OkDXr19mT/68HtMFsf0tGR2esBxc4gdRFfZWAhMHm0gTEtOy0POrAAnODuZoo8EI5WikpzGDhnd/Dh1sc+0mOH29xHGcPPWC9y49SK/9t1f/wt4cvyrPzoGIElSRJs31TFOTVO1mXkBo02rnQIp2hFhcC1LUi3HRZI2nkUEgozdpfi4IJZ1xdlkwvHxCUL2IutctU5CayGNLQ+0uUY+EEW8QtDYBqMSpBJIJE1ZkCYx/X9zvMmolzMcjljf3CDLUkyS4J3l+OSY+w8eMBwOeOWlW6yMcu7fu8fBwQFZplhdW8E1I6QVXN5ZYWVzjcFYM1jpc3CsmM0a0mRAUXo8lsZX1AaUUHgZkEFgbWiNQAEhA1LG8ZzzApwmz/p4V6OEWIYzdg659fV1Xn3xJmsrY4rFnNxIepnh+PCAcnbKxvoKRifROa1VFNQ7BzLGGigFZTnHNjYyhoCRMUS1LmuqooK2z7VYlAgZn8tJEqMVvLc0TrSMpGw3/WGpY6Id3RqtqesyslRKoKVBKUNTe5xtSJLYA0kbUHkxXuPcLanipjmc33tdpEGXUL5kY7rvCx6Nw4sm9tK6SEi41rTV5e8IKw8AACAASURBVDTZVuTeNHU81yoCJu8dBLdMP6+qmtRErVev16PxUad3UejeGbasjen28/kMiJ2BSZuIDrF3z+iE0OqRQ4jO0xBY6pW7+I1e1iNRKrZv0AAq6qikb8eZ50xmaI0cy9R7PErF1PXzUajn3l8WQLUoFjzZfczVy1dZulToBG0dJ66RpKADMsjoTAgCbz2+LCmmZ0xPjynmU1SAQZYz6g8Z9AZIabAWtIiLhUcjZJ8szQjCI/SA4DRN1eAd2OBxtoLQIEIU54XgENJRhxKZS/RQUy8mCCeQThGamtqX8eGmY/mlh+WNH3uQfLzxQ3xfQcTKGxd0dDhKhZQeIQI+eKpFha0NzgHSkAmDMCY+IENNg2KUVCil8VUNoQNdOT4YqjpQNTVp1sekPXyIVG2aSvAWJxzvvPc+j58+YaPp8/j5c37ps7/AS6+9waJsGA4S5vMJJtfoVLGYnzHoj3FO8OGDOyS2R5KlCJOhdEtLB0+oKnyoSVyD8A6jFLaGx+/f5Z3vvM3hk31kI3i1P6I6O8N++30mZ8e4xYRHs7OYIH/7CvmtHTbKAr17xMALttfWuJb26FtPmSYcHj3nj/7oK5SF50s/8XOoVOIKR2MtWkNRlDS+C4ZtmJwcIH3O9sZVFjZnlmvOzg5h8oyHb/0pHz59RH9jTDmfMa0n7J0sSIYr9HsJN7dfZisbMnnynNPZU47TkjqxXL6yzcIZ1tPLNPOGAY7MamwtWRttIAaas3rKvYcPsWcz1migWPDqK19k/598lS/cuMH9sODpwRn7D/cx4RYrr3+ObO01JkdnNKcTmmLBYvKUN968gfqHU46enzLbO2BjY40f+8RnuLpfM3t+xHe/9g3eK455Yf0q2+vXmc8OWF3LKZynritWN8aYnsYVZwyVQRrNpKyY1w09nfPKjY9zWtbsnZ1grCScLmimDjk0bF25Tr3SQxUjpqdPqeuGoqiZzRZobbqtxo/80S0kWul2sQutnsW1gZtturN0WFfFShoJgagvSpKsZSFiLg/C41wdAxobR20ttfVYK2iqmidPn8YFJBA3d7RGGVh2+AEoZfAuVpDE3X6biC3aP0rwws0bZFnCta11Eq2x1jEcDZFSkKQJWiu2N1fY3oiapzRL6edXuLS5wpMnj5lOZ2R5TqpTZJCkWYLODCvrGWVTM8g0EyOwwZKYFB901H0JiWsNLE3tcb4ruTcRzENcEYNsmfmELEkwUjCZHLPa75FkkqKac+PqFpc2hlzZ2eH5812qYs76yjZnMrC6thI1P7QqMm0QMtaa+BBIhALh27EshCBbpiRW6DgX15TFvECIQF2WCBmd4VVdLHO6ZBtGGSMW4jPVNq1+J4BS0VRQlILGWbyTuC5Ooh1TgVmCc6Uk3sesqKIol/eUFKEF4h1oiXopH2zrjGzrW5xDtX2NzrbZVMEiaSA4gpsQU7WGNMT8NMJ56n1cozRp1oKfIKJzLoQIJFt3aNM01O3or6sK8t4vQ1yttSRJwmzWfVY6o0YrlHcB0Zo0YjOJwDtPkmStyzKyad5FF2aamAhaEdjGUjcVSra6NUnUYNGdn25qpOiq5ASR9QzC8+DpAXXz57sr//8eP9SACuDeg7tcvXyFCKbasZ+QS0uwFBohAmoZqmCx1lLXjuJ0TjWfgbO4OvZVVYuSqihZTAuUSVrWJmpbXCBGHchA4yp8M8f4BC0Epi1jlB6EE6A0noC1JTI3mEFCSGGyv8t0MWU4GJGELGqFWhtwALRJznNTAjgfI/eDd+2u9ZzeFhiMlmgDCEvTFDEHpK7RUqNUikl6sdDX6Bgb4SVeKFQ2p5xNmE4WSJOQZzlSG6rSUlYWoTLyQZ8s71OXFc7VYDTVdMrhwWPOigWvvPoa8+qUn3r153njk1/A+hSR5AQlcaIiCEdRLRAiZnsd7B1QLyw6T9G9MaY3Is0GJCoDmaKlJBQlbnrG0/t3+fpXv8L06JjPffbz/Nirb+AL+OaffAfz7Jj+wRGiKriyvYFa6/HYBU7qmmbS0IiS+viY8nRC1sspDNSbfcqqoBQVZVWjOGN+eoRdVGRCkqdDVAIik3hdEMQU4SzNokQpz/6zJ2yvbXF5K2cymXP//iMe3P0T7rz9x5xMJxhRsnu0y3BtA5FrstygmkBxsMfzZpd6uiDg2XnpNWrlGV7b5OjY4xpLWeyTl1PydEh/sMpg7RKFXJCT4KzCqlVWZMnxszv07VOu9hs+liiOd085HK5x480vcG31CzzyDR8+bRjSoz475traOraa8Ft/7++gPvg6/cEK/+GXf4lnaYk4LRC148rqJqUecrBXce/OOzT6IVduXsNt9RgYiZo3UWtiFbpynM4mLJREr47Jh+uEScMf/tbvk2yvk26vcunGddRqxem9Jzw73OdJNWf91RcYrm4wHiim0yllWfN8b59e3kd9pMriR/twziGCv6B/inaajwZfKrwLOOGWY5D/h7z3+rUsTc/7fl9aaceTT9Wp2FWde2Y6DGc4JEWRkkyZlCDZImjJgiDLNwR8Y8DwhfUH2LDgO13YBgxbhgXBlizZgiWGoaghxTgznNCTOlRXV3VXPFUn77jSF3zxrX2qRzcmpAFHpBdQqLzP2nut833vet/n+T3eVxRFjzQzCBEjpKxtQLS0rY0dhdBllaKYTKYcPj1E6YTWBmzTRq2UCNFaj4gPUTqaQKwP3Ws40jShaRsUllQLxoOC567uMRwO6ZlO5+M9o1HsKOSJQiqJ1pJkex0hYDabobBsrPVJ9R7LsqJpGoZ5P2qL2hqLIy9yJgvP1vqA6WTOZGHRMu067WkMSw4trY1Sh+B1F3IfKeYdASs6Domj+DTNcG1Fr5dRVyXGOAaF4q3XrjFI4PDJfbI0RSQFa+MRRkFTLkiTBNHp00II2GhuxAdB3TpcWxOCi9l1XhFC3JBtp9shyG5MGx1yWsg4znMeJQTCE0GYnWj+HJFwzh0NONviZJcv13VH2o75VWS9rqCK3ayou5NYSzfeFDhH7Gx1BZVAnQu4pZE0VXNuhFiF/xptzs8lnoeLkoYOpSAJeNfgfHTI2baNukfvIy+Q2FUr8pQVWd22UTO70jfNF0tUF2uzKsb+dYDo0dHR+Tl8Mlg7/mzQOsF15xvNXA4hdZyuOHtOTa+qiqaqYue3qaNukwjrhGhUiGNM1YnvY2GcJM8cpc/2V8WdB6c/0DXgj0VB9ZM//qfib0QE4cFqyCYA/QyhEGLCuG09ZdkwmzdU5RK8xzUNy8WSLF/S1i111UBbInUfEWwsCtwc25xyvP8B85N7XN69glIXaRrL3AUckuDihcjygpAlCCVpS8/yac32hV3yXsrJ6SFPFwtGyZisyElMCkHjbSS36iRBa0PTtF1Qapd/JFcVdiwflZA421KWS1o7j2HEKpBoTaI9WkfKrzSKQHRDCKKryCNYlFPKqqSXrsUWupJkRY4TFuuJI0ofRftaW3BzJAv+4Ctf4tXPvIYQFeubr3Ll2mWQGs+Q8eYe0+M50gScrSnLCcGWnB3tc/D4EeP+kNF4g2S8hcp7BBXHGlLF9zI9fML7X/sqv/3FL/LxrVssZ3O+9MtfxIeExischtw5xtUE5RyPHy15bneHT412KBc1g81XeILj4qDgy08n6NzTNAtEM2Z9BmpZEl5TLBaHzO7f4fZ3vsvnf/oqWgbamWPYkyxrhZRRIC+k4Fd/7VcZZH3eeusNnn7wLosHR3zrd3+NO/ffZdmccTQ5IOmljF94jbPJnH4vxZ3McacT5HzBQgQu3rzMWVuy09vgSX3EN773DY6d5/G9Y3Y1FNVT2rURVXXEbKl5cvyIrYtDrl15GZOtMVhPKcaWQmn0jRHr+4f8/HOv8isF/PjP/jyPvn7G9pXLXLnyAu7pE06rR/zM538Csxt4TljMqzd479t3+NYX/yXHm4Yr400uiTHDLGFve5vXR4bF1g7Vx485fHgP40Y0tkYvLdvrO2zvXODs7Iyn031IFEunWC5aTOMZr6/z5OwE256RJle5uL1BL7nIYl7x4PiIOsyQVcqFfgFeUC+PWJYl/az3ffyZP8mHlDJSnEXTbSzdfX8uTo6byyfJ1J/MuYvOrpYsLzAd08m7AVUVkTBSSKSIY48nT55SVjVCxA6GCw5ElDics39EQCnTDa+iPyuEOF5RMuaVBim4fvUyRZYisTjbxJFVokk0VNKTGIFQkBmFyBRN27AUnryIqITUSHr5iKZtSWXUaB2ezCJY02i20gF5cQMwvP/BA6rWokRACTrRcBwxeQta6EiCDxHqGPyqOO2YSiJqwZz3GCVp2xJtBM8/f5OdzTVSO48WfK0YDAZUVQlCkvX7qCRFCqiXJT508FKpuqJTYYLFtlFYXtdRZ6RkQt1E+HPeXZemLp9dv3MTkuzOURDwOGtx3j1L5uiE5/ITZPQQVjwqie4AqStBteh0VbFbFjVXMbOwJYTY2dHqGeVbSEXlVh2smPThvUfL2O0pyyVFliLQuDreDSvnX/fp4kUsTFYFtSDEdBJr8XVHuwdwjuAdDo8Qzx6WVsXR9xUsnRh95ZAviuLZ/RlWYeBJLNxkLMSjoSvGKJmOYxdxRZ3o3ba0TY2zbRex4xCqiW4+twqkNudNl7ZtABlH8Z1zENFhmITgw/vHP9B14I9FQbWKd4nHvzaj9XR/J2Or3cdMorpuaVoJLn5j+hAtr4vplNPjI3q9NXprBcJUeBUtzL6douQSo6Kor2oWLOt7LBYz2o4f0zSO08mURdVw4fJ1eqMxp7MZtQ2sb47IN9bQKqUuK2bVJIpRc4vSKcak6PMbT9K2NkZFAEoQ4yOkJBCfRmVYUtcly+UZrZ2SGshyQ6oMCokOAeECMShC4W3s22mlqOZLjPFs7a5j0h4+eFpbIXVBv19gsiKSdZtFZzu1+Kbko7vfo5dZhv0+l/Zu0B+OmMwW5MmAXm+X04MF/X5OXZ4S/BQhZkzOHvPo3l0KnbM5HNPvDWC0jkoK0AbvwC0XLE7O+Pj9d/ju1/+Aj2+9Rz2dUk/ntC3obEhWjGmc5qQqabYVP/Njf5rBrGKv2ODs6JSb2ztcu3KNr/yLX2G3J7kzPWOqE5Td4nj/KbnuxXiWcsrm+AIHTx/y9S9/iR/9Mz9NaAMffXib428e89nPvclkckKi4OjpE379l36VNz/1Kr/9K/8n1y5f5O3f+qecfPwBYXLKxnBE7XNqm/N4lnB8ZBm4GvH0kB0heOHaVVwaOJQNt6aHVMfvko4NJ/qY0ZUb3PzcK1wUntnTbzIpD6hFA2mfPutsb2zQlI579x7wcQFZcUpvK1D4BdXTmk9feoEbf+ZnOR5tsv6nrpGnY6r5gvnjfbKmZbuXM62nHNVTnru0x6f0gOBm/MHJPR4dPiaxp+zLDDfrUw8TXrhyhcHmRQ4O95mImuPDA0xZUh+eMZWarWuXGfQ3+PD0iCflnPlyRi4MFy5doDptENrhpk+YijkiSzGbPa48d5XH9/eZ71fsXr9BL++RXkw5Pjrm9GRyrn34k34IIdDG4NtnUSlKSbSONvRV8ZRlOda2n3BdRRCwtZbWgjY1JycNBFgsZlFTgsAJjUl7aJlwMi1pg6ANAesjxVwrRSoi4dt7cHRpEV0XfKWpkUqSagnOoSRc2dsl0RLflrTUeKXAJJRltJ4TbDeyd7R1i7UNRkKiVRS3excZSB7q5RxBwvbmkMY2eAFp0edSPkTIlA9v30MhkcETnKVqG0JweG/BJSRZijYK64gbt3D41XmLVeGy6sTFsVC/1+fSpYtxQiHE90W6yO46aK0Rq8JWSqRKOkF4FKMniWGY5iyXS4RImE2nEDypCXjrSZKUJE0JwVHXFbZ1HUogonliR6mDQAdwnY5HSgmdQ09rFecrIW7y3tpzRyABVBJHhT44EFEcbu2zjMRn90qUfsSuoYojXQLCxy7MyuBgTIqWK9do6MaZzwwiK72R857MrGCk4VyrFXVgghXzqm1X3Z8YmBwz9+IYUyc5WnccsG4MuHL5rX5e5RfCagTnu2vkwEtscHgfC0LrAzZ4hGw7NlkHjfUO6yxNXeGs7Tp38YFCStWN0eWze13IGDujkw6TIFe2NpSKUXQf3v/BRM6sjj8GBdUdVhl94VyPEZ8Iok05gASFjAwlVeFEiVVHhP6CsJCEhUAnhsRo6rLk7OSEze2SkVSdbbMDTUpDonoMhussp2e4IMj7C6xY4JZL5vMls/mC1jmyImOxfMz+4cfUViJ0zu33bvFats6l66/RTpfMp0/j4uFj67TIEqTJsD5QNQ2rMFOpFNI8o/Y6F8nrrikJbUWROJIiQeuW4ObUsyWujTykpL+NED62y72MzgshUMMhBY7gBd4L2qqmqmuk9qSZgCZ2tYTw4FuCtpyePmV28pg3Pv0c6xsj5ssFk8kZwWckesRiKlBqSHAViQm4ek5bHzCbPIjhvWvbjPOCRCcsk4KgM1BJfHqwEQrZK3KuX7lMc3iTj2/dQtQNpt9j6lJOG4EebvAjf/ov8OdeeJE3/tLPoXf7nOYlv/uvfol+f8D2k5qn/7Tkq+/e5bDVlCT49S2mzhIubnC6nJOGlGZeUs5mVGXLd778RV789JtsjB3/zX/9d/jwzj3+5t/4TxEE7nzwPiePD/nG4vf48J2vcPvW93h5R/ATn3uDVAWauqQXFMPeRb793gNGRYqtFqynI4Srufv0iHuTQx7bhjAas5EHxtogXcPt73ybE39IpRQXNpYMR3CatjStI5FDPn7wmGsXRnzmzS9w59FH2DRwUN5noGeEVNGbVyzu7vOx/gqj1z/L/Vu3+ekv/CgffNzw7u1v8/6973CoJmjR8GZ/kxe3L7JxfZfPhDHHh0eYgwXl3DKrFzy69RFqUXGp6DFaHzEYGG7cuIa9f8Dj9+7y67/3VfbKCW996k02EsWa2OXg8JB7j+4jL+Zc27tMdbBPc3LMR7fusvvpm0zbOTrtYWXFaNjjwYMn9Ht9iqJga3uX3mCOD9/5oa0df9RHmiRYbMf/+f4n9tXIInaufLe5iXPRrJCCvDAIGWLGndIsl0uKoqCsGlAJ1rcIrZnPSxAKh2VpS3rDjLIsyY3BJAnWBYKP7j+16hDLyMrrFTkytDgPWgoSrdBaIJQgRsc5pAy0tkIrRQyQjQyf2EmySNEZbpTCJyveFRSjAZ2ZF61DHE0pj62WbI/73Lx+lbe/czsWA4nsOlBRORz8avSjcL7pwoG7bn2Im2bAk5iUqlmACFhbs719jbXxkKaKD4arYOZn1v0uAqeNpgApY9FFFwsj8biqZdHkBHpxXBcEzkb3niCG/bZNE8/FRd0Z3uGDJ1UpwUf91SdHa1EXBda5KIgOGu8sq3y7qAuKRVTw3YjPKOranQvRpYxdFilFp/1axbrErqNzUWeHiudoTERKCBE7P/i4l6xE5c5FE5XoImwickMjtY6C+67zJrsCXUhx7tBbnc/q3o5uxA4SKxxKebSGumpoGosUXYEjJEI/0zI9y3vsNIYuQjhXxZlSmtpWWBc/33PSvnMEZ/GhRen4PWO0RghP65Jzblm8BvGe0Up1uZEqsqzCipQeDVhSKj6494OJnFkdfywKqiBiGCIQ+SmA8FFPIJ2BBoIJ+KQliCUqE/TJSfIN9PKA5XxBXhS41nF2Nufg8JDh2gF5f4ORKYjIBYWSKVIq8t4ao/VdbF2isgWF9NjQ0k4n1HZKmuTkRcbtu+8zmztam/LkcMF3376HawZcful1cpExGmyArAkugNAIoaLgXIgukiIK6M4XYCUj/kDEPEKTCpLMIHyLsw22nlCVpyxnZ1RLR907xZwcobMNTL5O0luLi4WSEAyuKSlnJdZpUDlS5STduNG1Fieg6GW45YLl/IRqdszN5/aoFsfMJyWzugIStja36Q93sXVC3htycvIOvaKlyDynBwfUywMubG+x1StQXZhoUAYrBN62tFVDKgKF0lwIEiky7h63NJOUpbrCg1Jgix57z7/A1s4usyzB5Fe5desJmdkgvdTje0/uc+G1l1iu92ivXmE5WzBKNU+XhxyWFdevbnOgWtpQctkqpvv75L0BWR++9Qe/xle+9iV+87e+xUcffsR4sMH/9Q//IfWyoVzMGPUNbulYnnku7mywdqGmt2ZJ0w3ef/+I02nJwdN32eqtsy4MvnUMRgWLJvD244f4/ph0bYeNtcvIquLeR3d44A7xGqqpZD5vufJTFxm9tM3Hd97jaOY5OVoyXMDodM7nfuJFLrz4Io9P3ubJCVy8dJ0rI8/xuxPe/qVf4as3xnxha8Sv/h//iN/7x/8zn7l5g82thM9tf5o693xw+30eH0/43u/+Fu2FwNWXX+SFKzfRQ8v8bM6FtRHy1gfMj8+4++SAUjfI3SHPX7/O+rjHpTde4WSnzwflGe3dd9jsj7m2dYHR3h5Ce+5N9kkWS17fu8JZ0IxDwdGDkt64YHtjjQs7mzx89AgdFGXVIlWD850JQP3/Q0O1yr6LsMYOMuxFp6NZFVLy+8CLK4q5lMRAWEXX0YuayzSNT/QrNIu3nvlyFjdL0UYx72ocKImdCxPHRd7GsU3sgETKtw0RvFjNFxBc7CTjMCrpiN1RgK00OGs791vsPBglMVJQS4hhXwLbNogQn/iNSWL3AouUkbdlvcM2Jc5bbBNYH/Xo54aqaQm2JoRA3TRkeY+YQxgLPzpuU9ebib+PFQCS6Ia0bYXWgueeu8p4PCRVDiGeaWSUjLov51zETHTF1Qq14J0910mF1uHxSKXjONEkaB0LBRdaKtsJ1rtiKklMDKXudu4IVTUdpyqcs7Osbc6dbNHtGQuuVaEnlcAkmqa03TmrroCM5gEhQxeoLDuRdTgvqDoMYxScd59YLEhit0YKEYOFpSQxGu/acw6W6O7RWNzpbgTnaZ3DdaNIIaNMQ4g4xo2aL1g50VefIx2qIHabfFesxPeilUaphLZpwQW8iN01dV7oCFwb7x/rHEnngF1xvaqqOXdMtm2Nty3Ce4TwyK47FUQgUUk30pOxIHYOBOf7qrUOrTRJknXO0Ng1/OjhAfNl/QNdB/7dL6ju3sUHTZIp7HSGIYBJoW1BJqBTghA0tsWHOmYtqQKnB3gXWNu6QNM4nA241nN2tqCqa5bLkrKuKJwnDRIRFELlQIsyjsFwl8XsjPniCUoH0rxHb9Bgfazu54uS5aJkMXc4L3B14P2P7/C1P/hvefnlN/nJn/xzvPLaBbYuZPQGI5SOQZMCCSq2pZWM7XxjDIlRKOFjJe2jKBNhUcISQovwNa6d0VZnNMtjTg/OWCRnBDEg6++ytu0xeQ+lFUEZfJvSLJccH5+AzBiv98nzPtoUIA1SCvIkoV1OaMqSZrlgWCTYxQn9THH//l12nrtMa1OKQQ/hwFaBylrGvTGL8hDbnuLsgq2NHsZHDpbu9RFK4IRH1CV51ZAvSqa/9iXuf/s9Dh7sM1la3LwikYZyOceYlF/4a3+dn/zzP8PXv/kN/p9/9n/zP9w+4Ux4ztZKLr+xy/Mv7LDMcsreNp/5Sz/L108OOfjoPXZ2+2yNNL0MqsUSZTJOTiZc3tylN+pR+ZYnjz/kaDIHN6GXOrAViSzwEoJRKBFITIK3JQdPT9gZD0iTgtHaBZLjQHX2lI3dHZqDGTw5YDE5wtkhs36GvXQZWexy8KiiPqmZVhM2+yVXblxjOOyz9jjj4uMZ4u4BxUuBV1+5yL3bTxgwoHl/xv3H+1jvGYzX4EgzeVpynDtuFtsk64qtXsrze0P8wR365QG2rviNh2+TFhm7F3fZWFtnTRmuvPUGD/d2OOYxBx/eoThaMkiGTNuWq1vrvPz8i1TpIyYnhzw8O6WatiwfeK6kY3qqoPfcJXbYQs0azs5mPPSBrc1Nruxd4vZ77+Ic3PNz0nTE7qUdjs9OaFrL/fv36fX7DPt9lJW42jKbzsjzlKKf/7CXjz+yY9WFWkEZV4wg5wTGqE4kG2NAVrEjsXviuhGIpe5AnFGgHTe+yDWSuOAJSCbTGVIb2jauFUpHREJmEhDRdh7TNUTU+IQIORYhkKcptq7QRtFax96liyRJdB5DjXMyjqN87KrIXoFzLcFZgtLnxeHq/S4WZbcxxk2xbpro4k2ikSYGLccx2NpwzPUre3x89xH3Hx+fO72yVBGcg+Apl3PqOoCMTrbVxipkdHwJHFU5J88ThHd85vVP8dKLNxj0c4bUNE1XNHjb8ZNkN1rysajoomC8tVRVde7GC00MfNfGsYJwKiUi/RuPVAFkS5AO0oZ5M4MQSIyJYgsTu2LPhOgS51p8lwOYpJGA7m2nNRJ0fELRaZ6irV/IVReos/9347bzzz2sulORoL+CmjYhGrXSVHe5igrbuk7jFDpH2ye0fCG6xVcFlvc1K6OUEOK8gF+N78KKWBQC3sUiMt7jEtEBt611BB/vVa01SupzjVWSpCilsc5i2zityPOEvMioq44M31pW/CnnIq3fh1gkO992mqkWJWMhKoXHh+a8uxc88T25rkkhntHaY8Eo0P5ZV9h7z3t3H//A14F/5wuq6WzKw8f7XL9yKQrNJAjhQLSgJGXpSPIM01MEkSND/GDjzFVhegvWtxqCF9S1pZguMbpgc2uLzY1tjEk77ZUCmeKDQohAWiiESJicnSDErHuaUNEl08T2ca8XW67TuaOuG0aDEdevXqKuW37/d38L517l2nwNoQ2vfuoz6GwAOsG1HiUNxsToiOgY8d2NU+FtDd4SRHz2EAHatmExn7GYnlEtp9TLCW3tEMqhzJDgfWR2SA0YPAWTyZyyasmLPsZkRJini3wXoVEK2tpxdnJKngZGRY9FO+H9d77FzecuU/sFFy7u4Z2gPF2SJbsYndM2NRrP6eSM1jpQKWRjZvkIkaX0hwO0iq1l0TY0jx9x66M7vPvNr1GenLFoPXOZUErF62+9xk//gZj2NgAAIABJREFU/M9z+ZWXmFRHSHHM1Us59x4d8t2P9ikPW2xe8vSjuyxvP+ULf+Wv89obr/DvP/kRrt6RbF1eQ2eCk9NTThYVIeQoZUjTBCECpydHnMxmSJOxtT7i5GjG04MDEjMgTXNSY5DCIUSg11tjLDeoJhXlvqd3c8RgTyDnDYfTCRw9YIRmMOhzhuLASh7MaqYf3WUoNzEsubizy862wOz1ePzoiPr+hBeWCS+ujdk1Q9be2uVObnlw3/LS8z/Fh7+1T29rzKQ8Zb0oGJearx0f8g++fYv//m/+F1zeGHL/wXfY/+43uZIrXviRN/nu0495WE+4N3nM/OSAgZPkWC69doPX+hc5vX2fk1uP8MGyDJZvf+Ob7I422Ety1q5fZ3YYaAqFcJ75fIHMFaNQsJttsvQl82CYzRdMH9xn2O9z9epVTk9PmUwm0YHmexACWkh6eY6RCiXimEDqqFup64rZbPLDXTz+CI+V2HgVw2K0xqQmNlZctIZ3vmSU0nHUE2L+nQ+O1nqatkEQRbvGmAhhDCvtTCxA6qrGtY62aQkBTAc9jEBjeJZB0Imhg+s26tilUkow7A/pX1zj6nNXUL0EXST4Osfa5blOKXQjMWtb2rqNGZXOkSQJdVWhe32WyyXr6+vd+FJ2xZztqNoQvOvGYeCaku31MRd2Nrj/4DHaSBoXxzMi9CE02DaAtwjZReF05+Fd6HiEsWu0Phpz+dJ1fubP/iRbWyOCrUic7wrYziDgHE1do6Qiz5IOoio6Krs/72Y551AyEGhpO2eakBIhV2y+eD9HknvLcrmkrquIvFA9Bv0+vvVM5/M4wiRqqGxrCd6TZRlKyXOEQDyeud/in3nqJmaHJkmUn5TVMl7FDkugtemYTM9GcCGEyNJSz7RJ1lq0SrCtpSgKmqbGe/mJe5POCOBwromFhrZdCLX+Po7WCkbqvY/g6c7pHvAdqNafa5Kc9Tia6ISXUXPnfUPMrTRddzCOnXHRldc2Gus11kmkzDtsQ6SpK61QWlBVZXe9YndQK4FSIAhdoSQJobv3uoJwNfYNgXMBvHOWqi67jmHMwP3g4x9c5Mzq+He+oAK4d+8u16/sIbQkSEcQlqAtMlWkeUHdNkyPJhgtGAxzlMxAOHr9Hr6u6dmS4AR1ZWnqQJr22NjcpD8YRJ0PihA0Ao2QCR5QOiEb9FBK0DTHLBZLimJElloWizn7+4+RMqEoDMcnB0wmx2T5GKEqBsOCPJcUfcNsseTk9IwbN18iEykqKFwb0CYBofDexifWEGfGIgSUCmjZIflXWYBLw7J0TGclbVnStA3DLCEteoxHawz6I7QpCMHggsbLNWwLvWLAaG2TNC1orSSgMKZAKk1TL1kuSrQy9HsZ88kBy9mUV19+ibouWRvu4GxOWyqEzNEyIOQUI2c4W5EmGU06REhJnq+TpuMYYeMV0gZcEJxMpnz1N36T3/rnX2TQlFzZ3mSY5bR5wU6eU/bg937/l5Hf/VeMtzfIipTrl3PWtwt+4s+/QTIoODmZcrp/gnkM5WnNcvYEe/YB/8GfeZ6rN3b46L33eP/sFFdPId9gNN6kKFImixmz+QLnJYkqGA76bG56yvopRa/P5OwEk2p6eYZEkJgcRUpVJZx8OOPFT21jTMOHH32EE4K1PEMOtpk6yZETOD1kva945fIOR/fuc2V3yNXnL/DBl7/Dg/sVwqT8aLGLf3JE77HFf+8R7dUSUZ9xvDzmAUPySxf5F1/5EusjxQ4Vv/Bz/yF/tlA8/PK3+F/f/k0oEtx6Qq+saU5P+e43vsb2j32afOM6s5NTLpUSe3cf0ZR87Q9+D7E85d975bNsXrnO3AWMrTmcnnB69JCnyzkX93bZHY3PRa4zt+DJ/j4HB4dcuXqVJM1I0gTvHLPJhNOzU/LEYIxhPB7HqI7W0i96JFmKc475ckE5m6NQ9NIe3kFiEobDAZ9wTv8JPzo0Sojsp/MIqrAKkY3jtri4RwK1UqIDOIbO9h26mIyIagkCvBS4IFBCInzsNjRNi7cBKTRIHbs9UnZgxbjBnQtzg0eEiHMwSqFw7F3c5rVXbpIZGA2S7mFOgSjI8h4heAZDOpu+69xYpuv+hE6fEtMa0jSPxGsVtTgyGLRRHWA5oITHSJguZvR6OTevX+Hg4JjHB8eY4BBKRXBn8EgTuw8ej3dtDP71jn7WA++x9RyTGXa2Rnzq1RdIjMC3NSp8MkQ5JkhYa7Fti0ziKMy1bdf5id2JRJu48QJaR1NA3bYED1pH0GfbxoLBmA5NIGUXULxyTkaEglw5/FaFjg+dwUjFIsHFDEfbjda0iiM7pRQEznllcbxKR4O35yPQVY5eIOIbYnyQipgc4thvxXPSKjkfOwoh0ErTNs15QSeFoGpj5mCvN2C2iBo2rXXHQ0u6MVlLCDXed/xHD0LL8+LI+Ygnst53uZW+G3V/gtzeXZfYvdVIGV16znbwUOtobWcgkAohk2giUJLgXOSk+fgZ46P7Mb4v2zGwQCpz7px1rv7E14qg0lXo+Oozcr5FED/nDx8c/MBXgT82BVX4iR/DhgZWfBZfE9ol79z6BsfHZ+RZj2uXr1IUuwC0dbSWKjHGZCcUQ814w2KtQApDkuQxVw0NMiFgCAKkVrjWY0NsSyphMOkYZSp6vZrF4oxl/YTesGVR19RnE4ZrGTsX+1EMJ4+5+eIlsrygP7SodETPepROiUIHSVmX9EzabTaye6b05xldMRG+wbcOik2kKNC5RWfHBHFM2U5wXjFa22S4tsdw7QL5aB2hc5zTtEHRBsXW7g1kaBC6wNpA21iUyRBAWzcYqTFKkvUyWlszryQtO8z9mN76GHRGawUOgVSGINt4fkIjVY8s20SoPBaf+RrGjBBiCLKP8N1oQKc89/LL7Pwnf4328AmirQkCTpqaM+GRRmFDyWR6SuOOGI8GZNKhsjnGlpjTguZxw2Vzkb31q3z1l/852hzw4INvsju4xItXPs9rN/fY7Ofs7u7z3uFTWlVR+iuczE9QWc44XUOaMT7kaFMi5TH9YXxvdXXC9Qsv0FYeYRVtI6malMP9+1AvSBcT/MMn3Hz5ZZK95/nOvSNsscPJHLbMNtnJKX/hz/4U/8u3/jt+/G/8BLsvbnL18n/Mr3ztezydVLRNxoXn1tl1h8zv3qG/n/Cn39xFjgXf/t27+Blsmww/bXhxZ4Pp+7eZE8cl/ZevwjjjeHbMmskYrDtcJvnt3/kdHqUNr7/4CkOXkWQpQUnSpUHobb585xFJYhiPhqS9hL3eDt42nBwf8fjxYwaDARcuXCDLMoRUpFlOax37+09AwvrGOv1BjzRLqJcVjx4/YNgfUOQFXggSrZEIfBsz1/IkBecJHdU/S2Nqwdnk7Fwv9Cf/EB0oVqICnZYkjlp812lePS2HzqnlfNQ9WdtGrEhnp08TTbUs0TphWTYorXEhgFAx4aGODjEtFbXziLgvU7cREqq6PDgpDUYrbOPJ01jk2Lbk2uULbG+MaaoZ5WIWr6PzpElCURTnrqpquUR0KIP5Ys5oOATi2Mc6S57HaBPnfOyAKYWUBtFZ8JUQeAE4T7/oMZ9PWR/3eP3TL+He/h6vvPEZfv03fhPXOoT0tHWFDw1COpSO7L9ESYItca0n1Zq9nV0+/9br3LhxCaixzRJBRClkWYZ1thOQdx0653BdwboaVxICOkk6UbxDKA8yanOQIFUMDbZ+NS6KeaBKKYqiH8nmbQ1E3pNBdyiE6GRbBVNHLIIhy7LIsFIx/847i9Yx9sZZdz56W+EUfHDnWrLo0HvWcYGoDZIqFti+01a5bhS3ctJBjFtZidHj/4sP1DGsuBsZKx0D641BKIVddZ2UjvzDzpFnbeymrjpAAtXBSH13XqLTbqnu97F3FTtcDqUiqXyFkBBe4hGxm+ccKmi8l4DEdR20pq1jxI1eRe3ERkeS9GmbCh8sRmcYs0okaPHd/eh9OGd8QWR5xY6bPS+OP7j3g8vwWx3/nwWVEOIy8PeBne5T+p9CCH9XCLEO/CPgGvAx8B+FEE5FfAd/F/g5YAn8rRDCN/9tTvKD2x9QLpe0riLImiBrKrdkuVzyT375f+fW+x/y2dc/h5Q/RT9PGffXMfmYUDvKMkWpBB8cST5kbUMRHOgkQ+oEk2RYYQhovBcxO8pIVHCE1iPkAGV69FKBt0vQOVZIpJaczJ7QH6UIY3Gix3xe4sOc19+6xIOHj3ly+C6vfuovMl7fwWQ5QhqETvGhRHTdqdiaj/Py4FpcW9E2C9pmjm0qhuoyadrHFDDeqKnqirKqyHTBeH2HtY0L6ME6Iu2DTPBOYj3YIMiSdWieMF+c0jQBKTN60oJrMEYSbEuvsDSNpSwbUBl5asiLPmmeRYAncbEJwWOR4OLihchJ0i2UWUcnOVk6Rqg+IcTi1KAIoWG0sYm6eZPHsxNa2TA9fMJ0MWGBZ25bjssam2i2tzdp2or56VM210cMM0FV3qI9E4wXQzZSRfNwwkFzn2LNMr6wye0P7qGqwEtvvclofZPPXd+gN+/xldvf5OT9nMOzY65ce40Q1jk4aDg+OcPZDKVz1tZGtPYQrQVp5mirGilTev0+M9fQrAfeufN79EXCX/30i0xnnl9+9BB/5WVGN95kzQ2p7h+zXFr+4d/7J0gk799+hz//V/8zXvuLfwr5j3+HX/397xCenKAWE8KjCeqpY2+ZMbq6i72gOdp/yjxfYzGtePXqLqNEMX/7PQ6OZnzsl7jdIcupZJClTJxmcGmNwcaIN54Ynp/OCI9KnixPSNOU9fV1Xnj+RabTCeVywWI+46CuKLKU4aDPcNDj2qDPhd0dFosFy+WS2WyOVJrhcMR4rUeSpJycnXXiWk9wEUyYFUXnwlHkoxFSCOaLGCArhWRjc4NEG5x1zOcLrI9QwSzLzxe0H9bxR7V+rUZIK65nLJxWbq5nI5oQXOe6i/Eqq+6Ds3HTS0xyricpl2U3QhE0nUxAqc4VJhVtANdaTBpfv7U2ittDLO60EmSJoi4dRkNbLXj++evkRjA7PSQxUJdzEm3iOA2Psw0Y1dHWA0ZHHUy/3+/GkA0+OMqywRhFuZxFa7uRNJ9IsYidCcAHalvR2gYlCvI84+UXn+e5G89Re8s3x30OjyGElsEgo2xalssSgmTQH2FUxnwy4+rFPS5fvMjO1gZ7u2vUiwlae/rDAuHi6Mu5lrqKkNEiz0mMJktTmqaOxUTHWFploDZNg3cVsru3k3TluIvKCeViuP0534lnSADnNda5GHuiZVdsgNarzlUEU6pEdbT0+DmmJuHsbIo2KdYKjJIxuqttzrEFUsWvEXELmiSJI0vbRs3tysW44o95F++f1chOBIH1lqZtCd7hbcRPKBWLKqNNp09S5x0peIb2iHR2iTYJy+WStm3oFQV109Aua4pCILsO94r9tAoAJ4hzIX7UCoLSscB31naju+guj876FendE7rIuLZtqJv6PNswCuDBunhv1HW8nhKN94qm6co3mRBcLPxWY92iKDrQd3P+HkMIHJzMOZ0u//ALyR/y+MN0qCzwX4YQvimEGADfEEL8OvC3gC+FEP6OEOJvA38b+K+AnwWe7358Hvgfu5//jY9bt99nvpggjUdqj1eeylWcNifcfvgOplCU7SlnZ0+YTXfpJX2KrACVYuUGVfsRlZUIVZD1NFiQMqEuW5pQYdIE1+UBeiRCaUSI4sa4SFqEitbiQgWSXJEPFLPqCVWdc3joaX2JNJ7BcMSFy2Pu3HuX6XyCl7C+sUXVxNfItCNNC4JQCKG7tmhHGHEO2zQ01ZK6WtA0S+SyxqsRaaLJR45ROWM5nzLOYLC2ge4NwBR4sYoCsCSyRrQlQR3QhIfMyxLXpvSLbbQexna0SLAhUDdL2taDkORFQZYXJHmBkJrWNljfRhCaFiCifdlaCCFByLzLIytw9JEhIyDjqMJHcr0UMBz36b32Mo8+8Hy0f4fTaooscjCatXGP08WCk8NDlBQYKRCto65bLAteuPE81aOS3ZHn/sPbtMMpx1JAb8TW2mU+fjpn9tsfc+mlTdrtkif9Y4rnMj773I/zrW/cwbZDBBusb+zwy7/0G2ztbjMYphyf3qFINcNijAg1wZbUtSfvFfQLzSO14EeupNxINxidzvn2vTt8aucqzZUrzLOcXv8iHz0tCcMxoedx5ZL3bx1y55tPuD5suXbjM/TuWg4Ov8s+S6pkiDhMad49IDnI2b2qef6VHRbbzzFsd7GP73D/4ITRVk4+Mry0donT2Sn7+/tokzAp+pxVU8zyjNFwxPp4rVsk4nhjNpsxm80IIbCxsUGRZ9GBFBzLckldLtlYHzEejzEm6mGWy5LpbM7h4QFZ0SfPc7a2NmldTVkuaaqKLM3Y3t6gWiypmvi0mHdoBCklDx8+jCG9AXq9HtoY6lXkhF/phn6oxx/Z+hU3Oc6fpgl09v04/nPOYm3caIQMBCIAMhBpzkpIEpOgpQRPdOqJ+GpaSmSaMZ8fnLvVqD1aCoyA0LHtBCJuom2NCDkKBa6iLEuu7O3w+c9+BiMsuIplWTIa5NH12wm3owqr06AGj9Ka0I3IViTtECJUWCuFd3FzT5REhoS2FV0GrY2UcReF4EZptDGkWYpOMkZpysOnj3n9U5/mq9/4gPm8oq5LXnzhGlvb64TgyNKUCzsXGfSG+MYzKPr0MsOl3S0mZwex2+BbEm0IXfevbVsIHWrAx41Vqah9nc9mOEdcd73vsvki0iBNUnyIXfyoTbKdcH418vJYSzQVxasdX5/oZgysUi5kt2nHX9d1zXQyYX19HWMM88XiPDR4pTVM0xQpNUKASWJcT9W0CAxKxx9CCELTEDtBz9ADK9d4CJAkCULEgknUNdGB53GdhiiEgJI+js6CRCiDUYZVDEx8uA+daLvLHjRJ1EGZhEDUYkmVRQxH28Qcv7aNjjqpu05Wy3m0mo8jzhiN00RnXiA2EVZuThFjd2IdJmjahrquzteYaPSQqE6/RTfSdp4ohJfxmy0+xDwzIsTA5Rqt1HmHUqn4Pm/f/8F3p+APUVCFEPaB/e7XMyHEe8Ae8JeBn+r+2f8G/CvigvSXgb8fotruK0KIsRDiQvc6/0bH3Y/v0tQLjNIQoKWloqaVDftHH/P6y5/mrc++zOsvv8D2aB0l4tw66qYS8vEWSle0ZYmrSlSQpFlOlg1Q6YCWBITBS4MQGimi6E3QAS1oQcRoBHSCNn2GGVx57gVm02N6gxFbizlVXbG2to4xGb3eiLwYYxKJMimryM3WBaQ2HaVWdDduABHibN0YgtMEp5EYvK9pfYIJCqN75MNtxts1ttWchT0G8jImFEinI69LNsTQyJrFEsqFxdmUxIzI8nV0MkbIHILqpK515LesFrssoiN8Y2OkRYhiQqMEUsYb37UC7w2CHEIBviC0WRQjqoBQNgphWxvBbUag1vpsXL3I5fJ5nnz9a8wXM2ReMMzWaScLZDAMekMSCZnMyfOM+wvL3SdzdDXHiTlivUX0PEubkOgdJtUa+UigBwX7p2c8Ov6Y5kKF3tvko9N77F2+xLvvPOW1l6/SLy5x8z9/hXfe+R6//+V/ye7mBlnWx7sZWgjSNYOtJBsjTaoLnogNxNqQi8+9yMgXFF7y8du3uJa+wNqNMW4w5sne5/idb/f43ofvkMpXONr/iC9/8QPefG7G5sYuo60rnBT7nLZzjno5+YU9To+Oyb4+5nnzJuLokLe/9h7v3Ppn5MWAUmecJj2kkIxFStM0vPbaawQXQbWTyQQpBScnJ+w/eky/P2B9fYM8z5nP5ywWC7IsjbwbKRgNhyRGMp9OqcoFk8mEo8MDtNaMx2N6vQJtEpxzlN3rK5NQ9A39fg+bxhGF8x5HXGAfPn7E7s4uSZKQ6BTfgXTb1kZhqgCpDdZZ5svlD11D9Ue2folO03EeqaGAuJFE6KAhMk6j5Rs8bZevJpU6J+xFVk78zpTdJieIG1zVXd+dnW0mHz1ECiiymHdmUk1qDEZJbFtHh52tqMsaRcuVyxf4sc+/xeaoh9GBxfwUk2jSRNPUTQe+BOcavFNIYQBPnics54so/u02P2M0SWLQMo66Vj9WoyWtErxXeOfwIUaoQMAFS13PWFZLdJqRZylXr11jWUuE9GzvrjEa54xGfYpeTrAe1zjypMC3HhkCvi05O35KrzDnG6XQCUBkMBF5TUoKkLpjKq0YYJ0DDRHHkbILK3MNyzKO1nwI2NbjRcx9i+uzQmnTxX11zsBVll7370EilT7vSAoTOUht20bCdzeOlVJSFAXeBxbzGUr68w5R27ZUdY31sYtpjAGp8LLTSHX/zuKR3uK8x7oQu2KdhqwsK7TS3dfpUZclnEtJno27QojvIbZW5XlhJojxSDHdQpMqQ9u2KGVQKsGYmAnZtpYk0TGU2MdvgNV9EELc16qq6vwUOnZkY1gtPtjOwFDHe7wbzYbQZex1ztdPAkAhFnfGxHuubmoS3XVSO6Dqs/GeQutnuJaAj/R9F7DeIgTc+viHVFB98hBCXAPeAL4K7HxikXlCbKlDXKwefOK/Pez+7PsWJCHELwK/+If5uvfu36dtK0Sb0CqHV5Y2WGQiQNZcubrN4/vvcz8r2HtjC2MG+LpCJn1GmwOcHJNQomQOpkEBRhukKRAmRXuDEwYhE4TQ5xcmFlXxKcDjokbKRTCYVpq19Wuk6Rrraw3WNiyXJcPhkCwds3fxZUSQjEdrJGmB1J1uK0i8i21VpCQ4YjaSAaMMKk0RcgBaEeoUwgLtniItoANZMWJtJ2G5sGjdj+couyeyELqw5TaKOltDW+UY3aNXbJHlO0g1AB8J8hKB0hYtE6QJ6ESDBNc0lGVN01qkyRFxbwDR4kKDJY78lOwhGCFUDyENyIDUDUJ5hGgJbctsdsLdd75FoQO0JZO2ojWKReno6xSHQYke+/tPaJeCvZ0dyrnn9PCEab5Osb3Ba2/sMH16i4Pjj6iEwAw3ePRgiVlILqcbTGtBu3RMakXdZrQnkjpMyNqGC9uXmU2OOH46JU2GnJ084Bf+ys/hw4z33v0atjEIZ5GpYNQfsrO5xWw6YWf0GldvfIGl0ISbmr31gpsf/AMe/PO/R/LgNm/9/C+ydvk6t9sdppcK6uNT9vcPuPfhEx7ef8zG62M+LR+QL79FIyZ846LB1NusrV1G39G899HbPF2csHlxhy984Udp28DBo0MKXVAuSw6eHiCF4PHDR2xtbeGcYzgcYozh9HTC3t4eUikePnrE2toazns21tcZj8c8fvwQvIujjyxBChiP15B4nuw/IkkSTk9PSdOU0Xg9biRn087xFEXPRZFHO3ddM18swHt6vQE965jO59jWMhqOKXoD5osFSZLR1A1LW5MUOa21zMoK639wwaP/tscPcv3qXu98Ddta759rSKLexnTdjGh1/6TjaLW+RK1Ii9Y9wHVjEYcLluAsSshIyUR0cSaeXpFHeYBtEUHibIX1IrqQOzu5UYG0MNTLCfmg4ObVPT796otcvrhJVc4IKqBxOCy4No6CVlZ0VpTuhrapqCrd6b3i+Ag8aRrp4t57fO3Ow29XDKi4FolnehsRnXPBOYSw9HONc0sSk7J5dZuN8YDKWkKEtMfxj2sY9gckOmUxXaI05Dqhtz4gTyS2WWLbBmTUntmmoamrWNTqKMw2WncPBC6StYVE+NV7lHjfTQc6e38IEHwnCg9R9B/TMVoMMrqC0zQSvb0njkjr8yJl5caUUoGO11zrlYYqOiSzLGNyNvl/yXuzX9u2O7/rM5rZrHb3e5++uee2vmWXy1VlUkmcSlUgAvGEEIgHQhPEEwjxhsQfgHgKEo8ReUSQKIBCRCFFVMDVRdXZ99b1vde3v6c/ZzerX2u2YwwefmOuva0KyCXb5Tg17eNzvJu1115rzjF/49tG44AnSQSdEnu/F6G5jrle1kqIKBqlPNpaBNf0eN/gCeRpX4YQayjLkvV6Fal6zc7ODuVmLXEeCG2W2LAdjotaRUH4ZdekuCGlsUNrS5ZlKF3FSBCpM5rPZlutVl01ceiUISoEtf1a5yTTyndrgJLeWnEegtatmBmCmDaCbwhaxOuJsdRlRZ7nWCPIlyTHSx6WawP5II+P67eORDnn9HZIFfetZJ5ZKwhX27Z8/NMeqJRSQ+B/Af7LEMLiqjYihBBUN37+kEcI4e8Cfzc+9v/v987mc5aLGX3VJ88zktSSYHnxcs7rD+5zbX/M5nTGy0ef8mX/gNs3vkKWH1E3kAz7KLODIUVTE1SFcq3ExjmBc5U1aJOAMgQlC1gk4QiACylBe3SSoW0PXA2+wlrDcHgAvqWtSlJTkvV7GJNzfCC0Sp4NCFaKGo2xtG3Y8vQQUAbqtqWqayrVitPD9tEYtBeawDUFrbboyCfnWYY1OVrlgNh+dawEcG1L20puhzYpg8EtsnRIr7ePTfYIIcHXYmdWRgO57L4yCDoQ2pqq9jQt0gofMqAbKGtqJxdBkg7QjDBmB6N7soioBnSLsp6qWUMoOT99gjKeOtR89vnHPH3ykDIEVJpj0wGbdct8ugGX0s/2cI1hMpmyWi1I77xK0r/GJw+nXDw+5+xsyrWvf40nzzdMnk25NkgZ7AYIG4rlimLuqFcp6d4BoW9YbmZ8+M7vkmf73Lr5CqnpEZpzPnzvjPEoZzcfQprj6pJEK+7fvcmbb9wDVTEpDXv5L3L+9CM25Qt2DlP+1t/+Ft/79kOelw3u4mNeu7HHv3Pd893n3+fWrUM+/tUHvP/xR7z7yR/wb/3Vt3jrep9f/ff/bX7rH/xPrNdTDnsZJzeuc74+5fTZc56uLng6m1IDt27cYzQYMUpH+NIz3Buys7PDO++8Q1mWjEY7GGN4/vw5oLl9+zZFUXDj5k329vZYLBYUZclRlnFyco2yWNPUNZPJFIUn7O6wMx5y7dr4QWwDAAAgAElEQVR1nGspiiJShYu4eBvG4zGt87SupKml160/GHD28hytFL0Ao919yrLCrTdsqpos04x392nrltlyw2S5wNQl/cEI2x/E6+inf/y416/4fds17I1710MaBFFIo8vPe7kmffBUbUtVV4CPlHsX8BmppKCEnqMTYQl4gJKOCK0E8bAoZtML0syS2YzJbEUgxdU1OhF6pC5WpBbyRPG1t17l1o1jxqOc4EuyBHxb4xuJZiFIqGeaGqwx5KkMEUVZEHxDXW5ipUkjWUmh65kz+NDiQtu9vnRZRh26sH3ttSJN06itCREhCajQMspaZvVLro3HBB+onEObhE1RUBEISR8VPL0sJzOGVEvZcWICSWponOjSnJNAVBFcdz2AgdY123/bGAdwVSy9jaQIUojcvT9yFzBxSICqqlGqpCgqmroVsT0xjdva7YZWx9DKtmmoqwp8iLSZaLacc5RlQS/vkec5WZpF3ZGYDoy125BnbdT2HCA60+RVjYGwEd0RGsxTVyWJBaVbbJpQVStaJ+XCPiIz8tqrGKdhrgzBMdWfy4+1bctgMIgxFPK+ZlnOdDYnzXs4t6aqK3EAKk3bOroEeCLS1YnfJfE9bClYeR4Se2CsIWAk44rOFSjnmDECcHgndKxvA2maMugN6ZLk4bI7sDsXuw7Bq4d8vXz+08c/3sqZ7vihBiqlVIIsRv9jCOF/jR9+2UHhSqnrQOdBfArcvvLtt+LHfqTjxekLvnHna+i+ZbKekPVTpmcT3rj/CsfjEatVydNPPqB6MaP46ooHb36T/tG9WLeSyJumCmI5tfTgRScOMcVYChVVDMYTSFQT8CHFeUWqtdicVYtSDcbkWN1Knocr2Nk1KDy+DSQJmFzRtJYszeWxG02iNGkii0BAdiOye+s6iGRHYozF2pQQJOmXYCAYTKIAJ/ZVAq4RQbtSAUxAtwFiB5fWip3dOyiVoO0A6BFatv1g1ljZuYDsjJws7j6I68NgsGaEtQZtRDSpdYPtJSR6AL6HwkJQKKtomwrvVxhbslmfs3j2lOnFcxbTcxbzc5bFklVVMd8UDId7GJNRrR2J7nHt6ICDvQPauqJpPUmacWN/jK4rPnjn+yxennLrxn2S4gS7fMlB0nI8NAyzAr9eUW4mWK/Z61+n37+GtoGlaujZNdeP9sDNWW/OWMxeMuwNIDtkej5l0Bsw7A3IM83L5894/73f4+Cgz2jnFpMXfRbFY5bLR4z6CY/sPfZ/7S9zs/WcT6dM3vsdvM359V98kyenF9y6uUvLTUIzYbWY8fNf/wrv/V//lHff+y7/wb/5r3FzL+fD9/8IO1TcfuUeSbFPmxpenF2wXm2oVhWLZsF6tuLW/m3ef/993n77bVarFcEF6liknecZ7733HnmeM+gPmUxkmV2uVjx9+pTxcCALfb9PyFLKYsNsPqcqNwz7PXZ3d8iyjLIsKYqSyWSKNgn7BwfiNqs9dS2pz3neZ3dvj+l0xmy1ZtAHnST0d3bwLjCZLajKC6wRGlslKaVzTF6e8smnj1itix/10v+Rjz+P9ct73+VXi77bSa6RDwqtTOwpa+LQAahOxGzxziJe2hBTqqV4t20deCe1VInFphmhhv39XaarZxBaBr2EvH/AZ59/ymuv3qOpNmirqIoF/8av/03u3L5GYiFPDakVfZMLCt3L0QaqukJphVPglGh0kiTFtfXWaebaWkTfndi4FUSs2/Wn1mKtpY71LN0NLc9zQYpSGTK6DKfuRtc0DevNJqI+Euvg2gbjWtRmzaiXodwKrzQJHpyUp9fVBpMnhODw2K1zzMbngRd0yibynJq6kfyiGA1graUqS4LWBG+jRkdJ56iDLnS00+pkWQ7KRH2aUGTee9I0YTAQur3Xy1FeEKc8z2i06KfSLCU40ZwtlkuaumY8HsvrkqQYK0J/FwJJmonzVkkJtE2s/I6xcy9mcgIKOk1R8FfCK+OwiqdpKupQ4pXHq5agA1kmg7H3EneQJDlCS1/+oWskib/7el1EnVRNluZb5IygY/yHOFtVUPE9MFEPJg0Ags66ra6tCxv1AVx0BXfZV2VZ4V0dYyuk2FmaA9QW7UtsKhmDGkIQF6MPV5FfGebruqaqqi3N2l2jqMB0UXA2Wf3ZFpEf8vhhXH4K+HvAhyGEv3PlU/878B8C/238+x9d+fh/rpT6nxEx5/xH0U91xwcffcgbb95Bh5QkF464XJW8de8B5cWUj7/zHQZkOJUzefYFJ8e3sL0hJpN8JhdaaTDHdbQx2iaQ5mLpCMib3AnbCNiYEAsGHwyNU7FsWZOolCRJCb4GKkhSvNWgfXRE9ajLDd578mDjydo9ngJEN6GV2JuDv9xpEDVc2qQYLyWZISicD6gWqeJRoq4IBLyro37JYLQULXsFKB9pzJTgdbStKgn/C1JNYNIUZVuCb6RCwBu0sTFLJ8HqcRRargmhIU0hsZa2kcJRrRS4FqmcqCg3U9rVBevVKY8efsyTzz4nsZqd3RGbck3VtuSDAVnWo9iUbJYNTdkwzDQaJcOpcmRDi27nuNma40GfkztvsDM+ZnbhqKcFo1yxN9DAivPpE+arFaPda+zvDSnagnfe/R6r+Rk///WvcevGCR999B6L+ZQ0kZ2La/vcvXOT2XRO4ytc7ZlMz9ndu0Uy2sOZhM+/+CdMJxOOjk6YbVo+v/ge1n5KVTvG+0fovMemcfyzP/w2b3/jG9TVnNs3ewzHjt/43/4hD67f4Df/8T/kF375a7z7wTt84NasFmec3DkktQPO51N0L+Pa8XUUCZN6Cs6zO9pjdjaRROfNBtc0NHWL0oaT4xOU1mRZhjGG2XROWc5Js4zx7g6td3zy2adk1rC7s8Pe7g7j8ZgsTaiK9VYwGoLs9NIsJ+/1mS+WnJ+fk6QZg0EPk6UslksW8wWDkeLw+ISmcWyKkrreRJu2YlOUgrgGR101rMqK882cwWDA/rVD9JMnP+ql/yMdf57rl7WWJtq1jRVKpMuXksqNgAqeury8zq3VKJPS1jXeiROpc2NJ559AVWmaULYtde14443XeHk+4Xw65/DoGj5obl47RIeWtlyTmcDf/k//I44Ox5SbBf08wRiFjWtTagQxEcqxJqBwrdy4UNA5D5NEakn8Fdu9gACSbq2UQitLv9e/ogOqt2hBlmVRaC2DTldx0hXmtrEvT8fhg2iWaJpGAjO9k7oXpXC+BmOovCKowKqsCK5F2RRjEqqqot/vo5RY8ZM0tlEoTeVagpafLwW/hkYrlErxykUDjd5GQDgfQ4mV5E4lSYrY+X10A+a4EAuR0bF8F9lYxmGrKKuYEK5xQSIVRqMRZVliraUsSpJeKgyIl6ysXk8iK1rnCE5jTUrj6hgtEKLu9rJUW7qXu5gdj4rOURF4t/EaT7aF0cYYWhVIdIr1FkUqER66c+RZQhC9XpYJM7Fcrugcpww0TdNC0CwWM5SupKNV6+hMTEhsFgcuCYVVWiG+EFBcZm1VVY01Xaq6ofWtaKm8Fw2zFpG/9zJ4GW3j69mFhLJtHojXOduoDO+3aGByJcW+aRu0Vnz2+OyHXj/+rMcPg1D9FeBvAe8ppd6JH/uvkYXoHyil/hPgIfDvxs/9BmI5/hSxHf/HP44nOplOOTrcZ1Is0F7TFg3r2Zrf/+3fpDp9zjdff5VfevPnSFUPtGVx9hidDxhfs1S1QiVDggpo4zFKal6UMVtUSk5MH5OGxZnilALvUKrGqAzt5bPSVSUoD1o8tjpR+NBGp4e0e6dJTuua6L6J1QFBE9SljkIrpGjYdChVKxQNKraqQ5JJSakmQLx4YswbwQWaUMY3MxcthTWRJ1c0rownm4jLlbXo6PpwtNhUEtPbpomwrrgdjUqRjb0meIP3KagcraPTQ8nCRHB411Bv1iwWz3j+7CM265cYXbFeTJlPppTlmro+JkkTdnb3qMoWoy1JnrGZVdDWhKZEhRZ0Q9KD0X7GaKRQRc2iXlAWsH98zPzlC5K0Yne3x3CUUa/nLMoNybDPcH/EspgyX28YjjVvvPJNjPXMphcE7ymLitHwiCTJMIlm0yxQWctitSKJwYRZ3qMoCs7OzriYnDLo9xmN9nj65CnL5ZJ7946o6oaDwyFfPHnMuirJM8v7f/Jt3vraV5ktp5w+e8SzSY/69An37hxTzy8Y7fV49dZdNqsJF6tzVlXJpiq5uDjDvrhg3N9jlAwZ7+ygWmjSmtuv3Ga1WjGfz8mzHr51bDZrAoqj4xPKsuTo+Jhevy9fk+fs7u5y5/YtXj59yuTinKos2BkPUSOhEPd2xyzmMy4uLmiaht3dPcY7u2R5j+lszmw+x7mWu7dvMhrtUBQlm6phMBixWK0xaaCpGloP/f6AQdpjMpkyeXlKXbdUbcOkWpCPRuyfHJH3Ln4cl/+Pcvy5rF9aK9IsIzRtRHK15EHVMlAFvDjRfBtrRRxWA95gshqbitGjriq8k5t1klicly4/h2KzWYNOuXnrBq+9/oDlu+/x7OkTRoMDcqupVgtODnb51W99kywVyk9nhn4mCJiPwaAmirYr70lsdxOV4EnvPcqI3idJZFBJUzEuZFm2zfYRTUtLcJo0ybcogFKX1nSttWQqmS440mLMgG2JbQhRq6O3YZxN05CmKVme4ZpaHqtD8a/oz7z3sU+vxvuafs+S2Bj1ZwUrDD7Qy3PKYrONITBa41OL9w6tMlmvJThMEIzQ9fMZ0pgV2CFWWktoZJJmsZ4lRP1YHvVYnqZtqSpxVSZWspWkSsjhY+mxTxJBrsKVMmKbi9tSKgtl+ImMgXOyBstmWPK9pHuxvdyIqz+d99Z19rVts/3YFrEJGd5FNib+zsHXsZImxN9J9HDr1Zo6JvOLycLi/UYYCeejANxt6cIouMU5sEqjTRrpyia2BkhmVJZlQvM2lQSP+iCF3Fo2vcro6BQX1HQwGGyHZ6OlToYILHQDfdu67XnUDVIdux+8JyjNJw9/igNVCOF3+P8WQvyNf87XB+A/+xGf1586PvnsC5bLOS60kiEVNPdv3ef6t36Nk9RwkhgGSpHrnFWlqdoNrlrg2g35aEzdGrTO0DZgnBInnPeEqiYoj1caaDDeo3BoGhQtWomDw9ij+EzUdocg9Fxs7NYqbjojbG80WaaxThLRBf8U/lrFnWB8NGyiRS+lFcHVoBySiAsBLX1c+K0eQxyHElhHiF8exZAmMWirMUE0HC5skLoCC6GJ9J/CWIW2BpRUEIitFrS2WJOiVQYYiN2FbRMIymBVAkqhjdCRriml/dtvcOWE5w8/5umTTxj2UhKtyZMUoxXlpuT8Ys10NqetAwe7Oam1KN8yHvY4Pt6jlytmqyWYkt54gB14FqczHBU3X7mFz9ZU+pT+MOPa7R0uzk65OD2n8orb12+SDXdZXczQTtE3fZowx5iM0/MpCsPBwTHj8S5pmtLLc6EDmiYKZzVpmjKfz1FKURQF105uMZ/NefzoGdZadnbHNG2BTTSL2UuWsxcMdkbsHO7gTOD5ow94cfqSm7ducOdwh2K9otos2ExPOV1csFo+Z3d3gDfgtGL/6JjDW3dYrypW0xWVq1jXms1sjU9bVvWCXq/H/Xv3Wa3WWJuwXC65mEx4+vQpVVUx3tndxhScnZ9xdn7O4cE+169fp5dnkoGjJKdmNptTFmvSxDIYDJjP58znc4qyYjAYcHJyQpqmPHv+gkdfPuLo+IR+b0AbCr777rvs7h8xGI/J+kN6xjKbL/j80y/46KPPGPR7vPrqq2ymM27fv8NgMKI/GqG6MMWf0vHntX4JEyNIklDqsm5IQrPbIj+dBkYrLpGGiPrkvYzG1aANm1oyvvr9Pk0MKhwMhzRBk2B58OA+s8WcD97/HOUdWZZw++493nrzAQd7YzQ1q/kF/dxitIjJiTfw4CXeoav60BGyV11/nvMSj+AvgxvFdZaKQDuxrNeCvhsSiqKQIMZI+QlyI84zHe9mXehih5aUZSlIVed6c47FfL6l7XyksIDoPLvMX+oGERUk46iz7JtYjaJTLXSDcmzKTczS8rKhVJdvmI9yNRUjJ7TSGMnbxBhLluWUZblNuQf5HqUN/f6AoirRVhzSwQs1pwjbzCPnXEx77zbi8rokaULwUFYius6SJJqJrvRAdq+Z6+pUElzwUg6sNUqDr4v4WqitI06oMUue53RFzIvFAmstvV6PLMtpmloiMoJobrsaGXHLCeqz2cyiU29NU3uszXGuxhhxYIewYb2R3r+tID/GNzjnaRpxAwr1Z+WeF8Tc4GNNmkLTtmF7/qiYfVZVFSGIq1xFsMNHpFQFHd2jNV2X4Q/QnfF16M4X0SnG1z7KJD999ONPSO+On4mkdIAvHz6hlydkJsMnCUVb8fNv/zzrQcr11GAWE6qLC5q2Znhwjf3RIfZgh2R3QFksIB0RlFw82Jw2aIrNmuBbBpkiuCIiQHEXpMQuGyKXTtjydXJEa7PsXHQUNCpxtCjQykQUJ+CDpZva5bFVtCB3A5nsGOX/aZnklQSvaeUg1OBr+R4g8n2oEPB4Ga6iGF2gUiUVCa3G+YJAjfIW71O0SmSoUhrXQMDhg+yutOoyc2KejYsOjSCydK2MWIfzhOAa2moDviQEx+Tscz775Ls8+vz7LCZn6N1d8jQHB8WqZFNv5Lm6wGg4YDQcsZquWS0XHOzsMeyLiHI+PyPb0aQ9xaadg7ak/T6T1QXjbI88T9jfPWA2rVmsE8aHD/CNw5mMTdmCMmSZIbGe8ajPfDGnrmvyuMPx3lOWpfR8Reqh3+8LQtfKTSFNU+ksq1t8MExmS/b3dtjf2+Pl6TPSLCHNEq5fO6DxDU8efcLe4T7jfp/erROsVTx79hnLlWGYWLRtuXX/Jm254nR+QTrI0DplsykIRcWgP+bk2nV84WiWJWmWUrqW+XzOcrkUOgRFlkvWzI0bN1gXQh08efoU0IzGMrwMBgPe/+ADbh4dsbsz5vXXX2dyfkrbNhTrJednLzg82Of4+JjBYMBms2EynVMUBWXdkmUZ9+7fp1osOX1xyu7ePrdeeYXFpmC6WFJ5mE7ntN7z6PEThoMxv/JXfgXnAns7u9SNYzZfcjGb89bbX6Pf7//5LhQ/pSP4IEL+JMF5R9U0EuxoFM7JOiGaHXFBJbrrTBMxcNM0oOXvrN+TJSe6t9abAo/GWEHAlIKTo33+8q/8K/zcm98Ar2iagpOjXa6f7LKYnXG4f4BrNpKz5C/FuRKQ6LbIvCDnsmZkNiJFzkmdiG/EWRa6ouZWsppah9JasqVUuqVYRCPDD4ic856EUspg0mKt2Q5EgY6ykhtdV3HTrYvQoSyXlE53bP8dc7+0NjHYUta2bgjLoqDeuQabGukVbAvAx0gDJYgdXcCkUGOiX5LXR4ZEQYica6I4O2OxXJJmEoxpYqGxc20UwBv5uW0jG9BIl2rEQNT6VkT9rsEHJ2XGMXIjy3MxMDkZGGyaYROLjhECWoPG4aLwuqs3kvdXAjONMVfiBoR+lowuqOuW1Kr489u4mXYoLZRiCG4bf2CtjcGnMUutLbk4XwJrVGjRymCsxugoETEJzgWI2kGCFtBPK7zXEGxEZ6WbMCgXI0ZUFL/HEFVj2boz4nNq2wav/dbF3mn1umFXhilFV0HUvTZdlAlKhq1PH/3kECp11Y3x0zp+WIfNx+/8BtduXufFxYzd/SPqqqJnDU4HqkRRhIqsn+NbT9+MKBYVmcoZ9XbQeoRVFqMVvm4JTYNR4kBRzuHbWlYbETbJ0KMUPg5AKghlp64MRqoTKoLs/rjM2uiypUA2Sz5cHca63zvuRYKUioKUgoqFuhVrbPDo0GJDjQ8tPjT40Ej7fDAolQGikQIr6JRVeBpcW+NCBbYAjDj2fBKF5DYKHKVZXemwhYgJKQQrtmESXDjHJjKIOWcx2S7BVehQENoJq9kj/u/f/Ee898e/Tz9JuH/rAXvDQzbLmulmxXw1Z7acMV/NGI/HHB8eERrP9PQCExSJNqTRVq1R7O3ubndWVRoY7I5BK07PzzF5jkkSyqqiqmr29/ZIjGV6MaUpK/I0pd/rEbxnOp2Q9XKOjo7YrNZbu2+ntSg2m5gKLs3xJi6mSokLKGAYDPekdNY3FMsJ/X4qC2LbsFwuGO2MSbOM6XxBVbfUjaPfH7Kzd0TZwounj1kvl/i2oj/scXhyRN02ZIM+m6pif+8Ag+HZk+ekKkU1gWF/wPnFOf2xod/vs7u7S+1a1quC5y9fYK1luLNL3TRUVcXB0bH8HpGKuXPnDpQlm/WKDz/4gJs3rrE7HnGwt4vV4hJbLObbG9hovMNoNGa53nB+foFHcTDcwSrNqiw5ny8pmprZuuTR2UtcGmgaj2lz3v7qt3i8Vnzw4lPu3DX8tV+6yS997eu8//7nDPMRf+e//z/48KMv/8Ww+v0Ej9fvnYT/7r/693A+AFps9UptRdCKECkSSTC3sXAXZdE2o219DPmUtaKuG9nMaUPdtqJ1y/t4JMHaGEtRbGiK2dY11SVdG2MkJkCDb2oUkqhtbYI2Ca0LNK3H+UAvVBRlSRM1VEkq2lBMlCgoRVVL/Y2P6IiEJjqsNlGIH5PG02Sb/9NRLUkqe3YX6a6qqrbusdZ7+v0+q9WK/d1dptMps9mM/f09ys0akEHP6C5+QWi5LvOq1+ttU8TFrm9jP5+koksuVSeOFvEy3iGZfz28l6wlWesNWX9AQNO6QJ4Jjdk2jSBPcbgA0dl2dGWv15PPK0VRrKnKQhxq3pGlVjrxvDQOSPBoRWKNIE1KMR7v0bgW7zzGpJRlSZblFGVFvz9gvdnQ6w3I8pxBv89yuaJ1DuWWGB0iKqiiJq4rCNbbgaJtHYkVynaxWHBwcChxKE27RXckG03F80hdIoBKkv/bNsR7RSeEdxSFDCVKKUySybml5XHrxkXzTJ+T4xtMZ3PWq42gbSiMKaWnLyJbV52h8m8Vy5rF6BKQfkVrJCcsIL1+V0ua5blAd3O11kZ9lfycuq5BBd75/hP+i//m7/+Zr+8Qwg+1hv3MIFQAHz58hh7vkmVD2qIl0z2cUjjlWK3mtMZRu4ZiU7I3hH42xHiDUtCsNmjdx6YW65SEdKpIPQeNRgLC5OLiMvRMaxmyvGBHcsRYhahTClfRK8UWOufKzkHgTNnJXj1C9Ed3Uf4hCETsA3iv4wJrCCF2JIUoTNTC8ysSAgaw+KBwXnYEEtYW3RaqgWBRyhJUIt8TosBUiUNQdfos76KGwMWLTOFZC59tRtgkZfrsJVW1Ih1oErWkKFb08oRbt65xMN5l3N+nKRqmy3OeTyd4remNBmhrZIEMYg8eDYfgPXmWSQ9cK2JUm6ZcTC4oXE1ue/gQKDZi8x9kOWVdYbVmtL9HnvfYrDeyUKWGvJfhgzSL572U4WjEarVis16jlNi3Ox1Il6ws4uwM37ofgMeF2lgCnqrccPfODcrNihfPn3L92nXanseanM8+eYQxCbdu32e5KkhMzuKs4OGLL7h79xajQY9XHtzjfDrh+fNnBK0oG8/FZMJyusLqhH6vx954h2pTYjPLfrLP6fPHMVQxYBJZnAeDAbu7uzx68pTBaMRytWQwGjGbzanjjeqTzz7l+t4+O6MRX/3qV1HBs5jPKDcb8tRy/foxw+GAoihYrVacn58DiuNr1xmNxnz+8DOenZ5ikzEb6/nd73zIMAzZOTkk3TvAjxpsUZIUPc7Pzqno89qDV/nGN2/z9Z/bpZcYRqMhL5+dbXfJ/7IfkrsjNvwkS0i1keqPeGPSgNFyQ0qsRocgtIi/rHYyxojLuBV9kdbqshsOFW8KBh135Vlq8bXZ6kc6ZGhLm3kPkQpTSoTnIQhlhXYEJ6niRmuCERRDqm7EmNI0DmMtWjuSJKNuarI0o64bHFo6G0PYCqDl5naZ4s0VZMkYEah3Zcvd8xVBOEyn0y3aIGiW2w5LVl8OM1cBgE4n0wmVhS0whNZRlmXUZnV0WLTuKx3LjqVuJ8sz2tbReOLXeBkoIyLnvJdNrQKcw0V0zuNJTR6F0TIMF0URX2ONNWr7ewa6xgC5uTvvUUF0pC506JBCioUDVVujtCLv9XDeUzeNnCco1puCJElYz2cMhwO0Fjel6IYKRqNRHLaLOGi2QitmEticJClSeebj+y2aJxGlq+1msst0UkrqYVS4FOnLe55s6UZ5XzzOiVu8MyRkWSbomQoE5ShrkRbUVUuayOCrI5rWmWWALcKmImNkjSG1ch/3jYubFeRxg98+V9G4yWsu16KwRSEOYYTwEwv07I6fqYHqi4dP+cpX37pyenb/oxgNRxS+ZLaas1quoNVMyhmL8yXXDm5w5+A+mTFQi51PdeVG1hAkKwBlbGTyLhEq1Q1POEKQXdwWbd5e27IwCFVGFJ9ffZaB7XzbUYhbOFO+X97wmM2hNASxl8p/Ax6DV6oDwoVfVgZIQKU4JyF2oXsspSSQEyNInLIQYngpot5UgNIe76srJ2jYDlU+AN5i0pa6XdMWBa5Z81vf/mPmszOGA8N4pDnY73N89Ab97IT1csZkOaXerJiuzmSwGeywWa5ZLhaMRyPZVfmAsdKEvi5KxuMRbR1YugpVNczbCmc8vSxDYajKhuFgFIXwEszqnGM+mxG8wxhNmqf40LJZr4BAvzcgyzJWq5WcI6PRtqbFOcd4NNo2rLdtKzXVIbC/v7/d9c+X5xwe7rOzM+DR4y+5d/sOPijWm5L1uoKQ0u/toTAcHd5mvXhEuYHVsmZvvMPB/j5FUfDJp5+zLgteefCAoiwBxfHhCW3bMruY4puW6XRC61tyepR1yetvvsmDe/f44IMPWK5XNM6jArx8+ZJr165hrCXv5fT6Q9abgqppKMqC9WaD2xRUe7scHhyQJZZ+L+fF82fMFwucqzk8OuDw2gnZco9Hj8/56Isps9pw7daQ/DDw7HzG2eMN67zmG0omU/EAACAASURBVH/pm7QXNV8+eYwzit2dXXZuZeybA1R9yG+98zmbdsXp2QBjT/B+w854h08++vzKOf4v/6G3FJ4IyftJshVvq+DxTqJMiBbztnUErWS4apsY/BvQ2qB0l4EkvX0uCKUUgqOpkI811XZg6QaNbqffDVFXLePdXk5rcRdam+DKGmUM2RYBUjRNi29aqqqmPxyJrtImVFUT3b8S8Jill3RgiK637ueKcL2OtnfI82z7fLqvMVf0UDreyOMvwWg0ogsqBv7U79LRPd3aK+hUQppkeNXGoMgoV1CxFuhq7lQMyxT3YYjLsrw3WZrRXOl/k7ingAtCwSXGgltRrKesl4IsaZNCcCSJrBt5nl3q5NQV8kNrjInPQmmJN6jFuITStAFSLCYxNG2DMhod9+XL5VIy4FoBDdIY0ZDYFCkDblmvN1hrWa/XGGO2yeLynPItktmZzoO/1F91eiMXzQnGWJJEx8JjFR13LSHUGJNsaVt58eRxJUtKbWm8Tcy7ExejDGQqSHVNUIG6lfywDrcgxO9V3fDs4/ln4qDXkGa50NKh3erq4omzHQiB7X3aRw1WIPDxFy9+TFf7P//4mRqoHj16eoVLv/wTgNYJHD0cDqmqipenL3j6xXPe/YM/wXjDr/7y3+DX/9LfJB/06PV7hAaCa+VkVV2+lL58FyLitIURo6gULlOAVXe1KtBx0OqE6tudlArbIUdF4R4AQUVFlI/jVfc5E2FpucAE7dIEUoHuUaAMQcvuE5WiSDDKimBPMK2IrGkUARMStBcUS77extfRo5TDxRR0pTWEFt/KwuGdQOTNasbjTz7jxaMJoTH8zv/5T1gWBcFo+sMeN29eY9BPWM4vaMsl/UxjQkuxXKKDJliHagN7ox36vR6+aSk2xZbfxmjOlzNWxYasl9Pr9yFPMErRqABVzXK5Ym9vj9lsLjqDficgh34/F9rUNZRlQVkU7OyMSTNZWLoLrqMROxomyyT35dGjR7FrK+Xk5ITBYMCTJ0/Y399nZ6ePMbBcz7h56xbz1ZK/+q1v8Yd/8Mdk+ZCicty79yp17flnv/eHDAdjTk5usjM+oHLnPHz4iE1ZMlsucM6TpD1CgDzLsdqwt7PD/t09ZrMpi9WMNE9Rqaasa86m57x89ox+vy8uqczK4qsV0+mEJM3YO9jHWMONGzfwIZBmGXkv5+P3P+Dp00cs5hN2xvucHJ1w8/ZdnCqYL86YNwsuXmzI0iPGB7do1YKnz8/59MsP2TnQ6Ezo8KPjIxrVkvcT7t65Qzlo2bm5w907J1zvn7A8Nfzjf/oHbKqM+WIF2uKqktF4tKVC/qIcIrKWG0mXtbQNu3ROks9DoK5qdCfLNLLmlGWFtRlVE5EZNGVTYUyCsXIjMsZSNzWubXBthW8bkqgX8R1Cpi4DNjtUp21/ULgLEVFra3GeqRBDJBXeNRRFKZ13RlBRa0Vo75ynruXmnGXptuu062zrEJYtQharTuq6JkkuKbs0FYebDyJA7kJku+eY59nWCditkt3RDVISlJzErD7oppYQB4MQRIsj8TPyfdYk6OiwVlphsFt6rKuX8T6Gc8Ybc9u2WKupywoVz2dBU9rtjtq5mhBaqULRHqVaxqMhVVVTVdEQEF9zpRRJTFE35jLMMkTtbZ4L5do0jqIssDah188JHtbrNUmWkllDsneI1t0A7PBOBnHnnLymV9BRpxrKyqGVBEU3bRWfD1tixbVuqzkSHVuXdu5EAoOKkRYtzhUYTYxLMFcCQrtoHhliqlJkGS66XrN+H2s0IYmvbYwJCSE61rdAgIjdCTreBo1Ux0Q6c3dvj/V6TVGuf2DzEK7kUcnHwiUdqBXeeT55+JMTpMPP2kD1UPL1Qof4KNErdJtg7xyNkz6kyWzC+eSMjz75Po8/f8q7f/Q9vvzwc77+i9/g9Z/7Cvs7e6TG4rycaDqPBZtbVZRCE7Y7CxGJerSVVGLnIElMnG806splL29qx85dQbTkWcqDKdknRRAqfl9ElxC3g1KKsC3jVIIsKQuqBe3j4m3lj0nQsZ8v4Ai0UQsWoO0QL9FEyePEglbVAgZlAhqNbxzKrUn8jOBPadyM8y/Pefc33+WjTz6lNxpzNpnw5MVzglL0h328a9gZ9ihWM0JT0GSWhIB2ogULpqHZlARjyIY79HrSzbXarDCJxmjDfDHDETDeM5nPQSuGwyEOcFUjAkegXBccHB6QGMnuStKU8WjMhhXL1RyUYjDoMxqNAKjKlvF4LDRfIC6Qlrt37/Li+XOGwyFFUWw1B3me8+mnn25h6Gs3j3n8+BF1XTPeuUMg8OL0DBfg+vER/cGY6fmc58/PyPOMa9dPqOuCum748smX7OyPuHfnAb2haEbmiwWb9QblNavFkuXFnCyxDIY9jo+Psf2URnvsOGX1coJ1UfBrNDbRHB0dUTcNF9MpqxjvoLRlOBpTN46mWXD71h1ef+01VLvL86dTyqLi088esneww71XrrF7sMtnn33CixfnJGlDnh6yWNecT1Y8P33CztJyeLDH7buvkVwf8Du/91ucJAd8/e1fQO1Zbnz9JoOxYTcMGeqE44M9HpYlZ+czZvM514aBtmj5zne/w2Ra/XgXgX+BD+eciJsV0f4uG4bESlCuVhJX4iPlnOY5m7rGtXJzaltH27SiHQmSvWPiTTKNGqUusTz4hLYpSdNE6BoE8VERZXVR4xQItOGSKrvqhGqbGhVkuyeMklCPBIc1iv4gwaZe6EFq0txI9Ey8gXYFuD8QoxCHtqti4avOvG2cgvdbnZMMXEI5WmvJY9CnDH/hB9x93ZDTDSTigBMXWdO04DtHoYuDV3sFPdNbRyUhYNMkDgWgTBLdfl1WoZZ6neBkTY1SDGM1dVViYyVMp5310dFmtMJog/dSeeK9RDV0FKxE07RxUO2LoNvI+eGchH0GFE3RkGU5eZ5hk1Q6+tKELM/p2QQbBmw2klRe1/LaG21jUXC7FcFL8GenMYr9gMiwKUOpjuhRL6Km7Tbf6dJsILRyFwkUnJdiYhNDYrUgUJeDjAyMVdXGoU1t5RZaiVPShxraDpzonqvcd9XW2GAJMWy0dQZjRuSJRCPo6Mx0UZxubfdzwzZzS8VYi+5c2hQVXz6b/ETXgJ+pgerhw6dbaBSl4vAj/zHakNpUAtNSS1WXXEwuuJhc0LYNZ9OX/A9//+/x6ju/zS/98i/z67/+r/JLv/iLZDZls6noJ4ZgFE1VgfdkaSaugrYmSRMwwkeLNs+TZCmubggeEh07hVBcOi5E53TJ+atLpo9uayCD4aUkP4rCVUSZouRTQK+uUC+iV7qN2im91XJ1bfPdtkOGM0fAAhlBa1qtQELXqduANSN8AwmQalDUKO1xfsFsuuTZk4/54uMv+d4nn/Hs5Uv6ZYEZ9Bjt7zOfz6kbx8vTC0KzQ6pgYAe06w2r5ZxxP2c0HIGyeJPQNC2LiznNUE7yPOuT5Tmz1RzvYbyzI4LvTYHVBpynqNbs5iPS9BDvPb28T3CB0xcvWS5j9tJoKMWcdcNoOEJpmExn9Pp9RqMxo9GYxWJBU1VbKmG9XlNWFRcXF5ycnGCMoSirbWzC/fv30Vpz9vKUEDw3blxnU2zYbNY8m71g//CAotrgFVSuoD9MObk+xvsSnQRUqDk43OfegwcE4N3vvUfdtly/foPRYAdX1xxc38UCs9kkugwbFpMljfE4Gxgf7nLIgOcvXmCShLPzM04vzukPB4z3d+i1Qy4mU8qqpvULZrMFwWs++/RzHrxyh7vXEg6PjtkZXePFiwlJlvAnf/Ix+ycj+qM9euvAF5+/ZLOZsNo4Gleye3iD268ckOaO5bM5m+cTfvVf/zXePn6d63vX+X+++7tUbYNqWnpKBNNJomhmFavFmi++eMxpeIG1J9y5e4fPv/yRM31/Zo4QYhcbbGkwyVEyBHwUrCsRQgcplPbeydoVu/ASa/HOkyUZzgg6E7wk1xsT2whcg3d1vOmZreC7O7obdy/P8V4GJh0QF5nSuOCiljP2m/l2a/HvkC2pPzHYWNAbUJhU/m6dY11Vgo5F9EcHhfaayzLbgLF6i1h1CFQnLrfW0kYk6WokwrYCpduRXvnc1RyqNE1IU9E/yaAmGqjUik5NSpENTQ3aRGF6CKKJ8g6tLUkMN62bluA8SjuMTajrGmuTLSsRggQYh5gcr5Skdnevddu2+OBRDlQi0Q2L+UoE6SFqu5QGHelKHL511FUlmXjakiYZpa9iQXLNpqjY3d2VVPe6jhELPbTWNJU4QuVlFjG6vA6epqqwVjLMLoMvo+52G5TZ0jR1pJS7VPLLYu+u5Lg7F5yTATBNE7IsIzH97bnt6OjCJjrpDHku+YV13aDNZc4ZKg5iXgYpHyRfzFodqbp2O1RJFIagVN53cQwO3zbUcUAkSLaisUFKmpEojc6tHoK/wmjBJz9Bd193/EwNVI8ePt1y0gLudLiQJviWycUFuyf7ZIMe7/3Jezx9/oSy3pBkCeWmRO9k/P6nf8SXyydMwpwqr3nrtbfIbU6SWPCSeaGcp3UbTC/Dqpx2vYbW0SXHmVQRnBQ8GpvifI3e1hVcUn1wyfDF8ekK5Rcun7+KjURKTqYQhYKye+zGL3HmSepsp5OK3DUhiuZVFBkaVNAol8RqMEObGjytDEvUJCaF1pGYIBemEwjeNTW+KanWa7788gkfvPc+D7/8koeTFZP1ksx7rt26y/zZc0rnyfsZm3WFG8FiveF8MUe3Dca3JCT4aslmNmMwGJDYhPl0wXK1oT8cYKyhKOb0B32sTihXBUHBqD8geMfmfE4/71NSoZRmuVoxHo+oy5qmajg+PAYC68Wa6WwqDeRJjnMtm01FmkrH4Hw+ZzKZkKcZg4GIsYtCxJ1HR0cURcF0OiW1CaPRiOPjY5xznJ+fy0C3LwGXWiuWqxU3b93Aec98Pme2nNIfDNk96rNezjk9O+PG9RvcPDnAnsKnn33B85cvCQqGozGbdclqvqIpStzeLqFtePX+XUpXsigWVJuS2jUsFgsmbcAdXGc4HHNwfIRODEVVcnZxThscSdqjqWtuXL/JpigZD8eMhnvcuH6dP/7j73B+seDiYs2De0P6w32qusKkQ77/0ZcU1ZpnLy4oqxRrDxmNjzg+2OHgOKNw58yXS9ml9/vcff0+iUsY7PXpDXKKzYZ8ZyBtSNoxGOT0lwnr1YYvHz3jxnjDK/fu85W33uLb3/6LM1BJ+arCq27DJNdx2zZy0w6ePJN8Ng+YxDIe5LhWvs45aNqKtm1IbEfBiVvMJgneN+BbueKdFBKLnb9zR106pZSSvjair0ZkKWFLoangt+4513jqtsI19fammiQJiU2wJiVojfdBynGi26vf70VUQCi9upVYF2tkPTJayfDi3DaKBdhqE7UxqKaRIMdM0rU7RKptW6ERlerYMkBu+N3vDFaiBVon8ok4uCQ2iQCUCNLrEGKcggyjxsiAoLVCK01ZVSw3BUEbjEnoD0f4xjMcDilLKVtO0wR8G7OmhLLs4h86Z3b387tE9bpu4u9rMVooNI2YfJqmELeah+ACrXNo1ZKZPk3r6KcprgpYZfGuZbORZoLxeMx0OqWZb+jlPYmvUGqrI1ZKU1cVaToEvEQ8IBEEopnyNG2kRDs1rpJhS4aiEN2GVw0AIjwXKrHEO0+eZmRZSutamqi36nRX4gKV95xIB8v31kI9111OWRc5lJAkUSPlo24t6oaVlm5BVOjyVvGtI3Q0aXDxPqsIOFp3GWBat1Lu3A1zbdvyyU9YkA4/YwPVy5dnrIuSYX94ReoaFy6lsEmC0Zp1UTMYDQlIAXAbHEfHhyxHDSd3x+Dh97//h6T7OelOjzdfeZ1ls4Ta009y4bgbx2p2RpYkpKMB7WaN8xW+bWMHnsf2BxhtaIpKcmKUiQPTFor6gWfpt3QiW2SqE653IsVuJ9G5ElQIdL1SeMNW0hVjHEBH/ZZoonSs9VSRNgzxeguuQSFQfmhbTKJIdcCoUhYZeYLo0KCtwY522B0fkNg+JkkpjCLd3cUrzQeff4ZOUpKgwFjGwyGD4Q5Jf0T/+i2oS6Znp2yqikW9wdmWtpUS6KZt6A8HVI1ktrjg6fU27O3uYJxhuZijCkdmEjJnUN5hMsOmqWUBQVPXLcEFfONFyxE8vaxHYjM0ljaIUDQETVXX1FUlO9/o+JGFUjGOIvXz8/MY3LmLVorZbMbLly85ODjg1q07NG3DaQzsfPOt6zx98ZTHjx5z5+4dDk72qOuaLz//mNV6zdtvv41vHV8+/j5Pn00oqz5/7a/9dfJ+n025ZrlcsF4uqauEZbnk9OwlC7/k/PQlr732Gkf7R7R1w/W9E6qq4sWT5yTpMadnpzjvuXHzJkmWoYzmj/7oO3z1a1/niy8+5+jwBG0152dnDAcDHjx4FaMWnF98xHsffJ9eb5/HT56Q9BSz1Sk21xzduAVqRJ5f4+T6fZabJQ+ff4zO1zx48zZv3HiDi2qN7hm0TzibneODLI5FZahyy3B3n729AeHJC1LT5+j4Br/wlT3G/T3m80oyj/5CHDFIMN58XNuilNjQ1ZbKF/F1QDQrKlORVnGkqWQPZYkmTcDFm1TA41px4PogN3WtPFp5siQVq3p7Ne/IbFGeqwGH3eAlGhfJHEpi5ZbcrC6t8p3LVdtIg8U/BIV3cTDMc4zRW1roqlDcGEOSZZRFAWiUFo1SmgrdFIIMESJWNmL+6cT1P4BadeHJl/qjTogu8s6Oyrr8vbvfNcsytJKbriBlHZIl6N1wlGGThAxF5XwsWRY00DnH7u4uL2NEyXg0YukddV3hvSO1ybbLEMB7K2uvNkghcIjOw8vXQ0WqizjwyjArLu7QGRR8jfdIKnhvQLUpAYeuK+k7rDfQ1hgdYwFCRx/WcdCzMb5A6M+mrWTowKOUoQv+NCYhTS3Bq0ib+WgA6DRwBptmtK6NaF5XVhy2mr3uPQxxYPU+RH1nl5Lf1RV1ye86BsVGxFInEUESmjPpegtjv18IyIaAGKYa867Kut2eG9YmJKlB60DjmkilXw6CRNChcYDu8fnT2U98FfiZGqhAUKqvvPXGpYhbqe0FRVC4Vjp7jo6PuP/gPl98+pAylEIl6ZbB4Q7D/pDTZy/57T/8bfJehgqeg+Eeug5Qe3o24WB3jyxPwDvK5ZSqKrBpKnkstHGnU4CXCVrrJJ68P5iEDnLBq6iNujpmyVDV4VRRaxXi1wRNCLLj1V3eS1nH4SoRdEBBUGo7NKGUKLS6ac3I42gFKaIB0EZDUxOqilQbXFGggkWnOaFp8O0Ga1wUcWZYO8KaAemgovGwWm1I0h7z2ZzEWJIsp2wck/mKtigITUluDCYosuGYQZLgXEl/kDPUmsl0wnS+Ri03ZFmKd47J2ZSzZ6dUxYZeluP6A0ptSI1lZzymXhXUWqov6rqmWBe0bcPhnmipptOJVGWkmqpuKMoWpRMgYb5Y4/5f8t7sx7Isve777eFMd4w5IuehKrPGHqq6qSYtQ5QE2KINPViA/WYbBgzD/5OkNxkWQIOCTUsCxAGkmmqy2cVms6aurJynmMc7nmkPftj73sh+84NYRJH3pdFZVRkRN849+zvrW+u32orhcIizNj7t2XggKM7Pz8nznK2tLZRSnJ2cMpvNWF1d5datW5yenXFyekKe5/R6fV69fEVta1bXVtCpYjQ+x5iGJJfc3NgJacBnu8wnc4bdLnffe5frd6/y+3/we+ztvWZrc5M7t28zuqgZrGywuj7k/Pyce/fvc3Z6yng8xraG69evU1UV733wPpPJmPPRBeP5mIvJmPX1dXSa8Ju/+ZuMRxP6vV4AdJ6eAZrRaBQGwWaEcXByMaY9nNJaS54m6Kygu1Jw+/595nPJ/mHJ41cvsDi2b97izv11tq/3WM0HjF+9ZFJNyZMELSTDlSEXbspkOuXk1S7myFHOJ6Ra0zaOybRGqAxrm3iT/LuR8vM+xNuJRcjOeRYpslRn5GkAYApvaepQ3JoXGUSFB6+WfpdEpyhCRZWLybJQCRJXSwLSJLks0nWW2l6u67TWSCXj5/0ydffm70Lr4Ilpq5DwTXRCqjVKySVTaPF0L4VAxZi7w2Otp6pq0vTSN5NojRKXHZOLA7rb7UZfD+SxnaCqKhoTuta8W6wfIzyT4HMMKcAIO34jhRb8WoFV5F30uEY1Twq59NcURQiqeO+RKhjwBVG5i+nJpg3m+yzLSKVEEIc7B5NJCLx0ux2yLGEqFgm30L26PK+jKua5XJnFdxjgV977BbRyUaWSRN+Ujd9PMOWHPsQwTLrgl/MOJT31fILyNXkfrD3DWEvTmHitgfdBWTSmxcTvdUE+t87jnEGQEKrRQsGxMUG98e6SB7W4flQg8AUvmndYY5BxODbG0DYGT6hiw4cBx1gT4ciCoiiW70cYKoNXV2m99HeF4mSJFBofz/EFTyuk+gzWuOjRysK6HId1DuMsbfSBGdPSmnbZPykgoCt0wAU5x19rh9/yc/XX/hX+M7+eP3vFe++9G4apmD4IUX9PkRecj85RmUJIwfVb1/nhr/2A3af7XNm8yrP5Kzq3B7zz9ruMjs853j3myZOH/MuHT9norvHBvff58J0PKNY3aY1BFxnzpuKzX/ycxtTcf/c+nTzl9OiIwWCVfneVUCej6HT7qKgOLbxdAG9Sf4kG83CTWLi/JLZ1JKmmrYlt88SIs4//yUJGtyD98q/ywke0AzElEf+RuEzGSBGTE94hacGAMCXGlMgio53PcAaStEDqFJECUmDmNZPJnJOTMUfHM5z1zKuWtnUcHZ0w6PbpFh3m8wqsw1mPb1uaco6WQSYf5gWp0nivqMoqPJllHTpJOAgSKannc5JE0ikKOkmH6WjEpJnRyTIm1ZjR6QjXSZhqS17k9IoCbyydToF3UM4qxhcz+gNFkgT6e5516fYCObwsT1EifLjPTk8xTUun0yFNU8qqomkabt68yXg8ZnRxQbfT5erVq9y+fZuDgwOOj45J0pwb128xnZZ88dWX/PCHP+Du3bu83n3N1w8ecW3nKh99+COa0vDlL77g9Yt9/vE/+i8RQvDTh0/5jz/+E3q9gq2tTdqm4dWrV5ydnHL79k1M27K9vc3G2hreeVKtmUwmvH79GmstjQny+frWBt2mz3we1pvGWlZWVpFShfRd1dAtOlRVgEA+efKYyeycspxjbIZxmqxT0Fvp013dZLjWpbIN57OKynvGkzmT+RzRv8Lb3etYDZNmitaacTllI1/BmsDhOT4/ovApCY7NnU362W12R3/Jq+kZ42lNbQXSzhkOh7xJcf5b/RIS6+XSw+FlKNrFx34yJWiaOvQgGhP9NOEwyLKCROcxSXeJP1BSIJwISoQN/X8BiCjiGiuoMkmSLJN2i2qXhecI70hiYqpqQ6pKSoXWKcI7WurwtJ9lKCljcsxTNy3We6wHpROyQiB1GhQj76mrGmstSWTLFRGEuVBkrDX0+h1WVoY0TcN8OqMsS+q6XrKonLPUdeAlZXkPnQgM0NbBY5klenkgXw4cCxq2pjUGFQc/CGdAWVfkeRb687yLqz2BE5I0yUAsVl4uNkEIhBZxmJPYqKCcn5/Hh0rF0dEhbV3RNKGAeWGqXwx4OkmXg9NCEVyU9Eab9fIBu20NeSqiz0tFBSg2k/kAPlVKB5SLbTCmQUUGU9s2WNdCG+tdTBPQCjHB2LZ18Ba7MGyKKDh4b1hwB+VyuAtDx2L4Xwy1l/gEGa8VEdQ46zG2xRsV4Z4eIRVaLfr7QjjrUq0k2FpiCEEIQafTpW3c5deIGxlHhKXa4DNcvIdh+DWYSJOXSpLloTfRmBZrCS0hBD9i2xqSOCi6xdcWEqklrfE8fP7Xi0yAb+FA9eLVLkJFY/riKo2GxMaaaLzzjEYjPv30Uz7/xee8frqHqz3f/wcf8w9+9Ovcun6LxCdoo1nrrrHaWUM7TS4yekWPTKeUsxnT2ZynTx/xJz/9UxrbcjY+Y3Z+zO7rXT7++Id8/NGP6PVWwIeb3eW6T0ZDpQcbOBvCO6TeAMKTV1OZQB9Xnra0CC1I4pOc83558SM9zoceI6kuf2YnPGETHi5Iseip8m4p4YcqzaiCtRW+mYK02HpCW42RLqcaj5iOp/RW1tBpTlu3TMcTXr94yc9+9gl/9Vefhg44lWBFeHoYdnoooTCNjXKspIz0YhPrM2xVceEdWZFjqhm5t+gkYX1tnaKXB8+Xh27WIRUSDYzOz1jZ3KaXd0i04nB/n1lV000yWjNm/+kzNtc38MZQlS2d/AXdbjd4K5KcujZMpjOSPMdayWxeMiunvP/uNYQQjMZjekVIAE4mE9q2Jc9zZrMZz58/58aNG1zZ3mEymXBwcMhnn33ORx99TD2dstYrePToOf/b//i/8MuvH/D4q0eoJOX73/0Bwnm+fvCQp0+e8cOPfsB3PviA0fkFJycnTC7O+eij77E6HIR6krZhNp1QXL2G8IEN8/rly6AUeMiynKIoMMZQ1zXHZ2eoRONHI1ZWBhSdgnk5p65rdnd36Xb6jMdTiiIAP/f3j3jw4AGnp2eoFIbrA9YHW7RWM1xd5+rNHUbzY84mR+TdLpvXN1ixHT7/8jn1rOFiPuZiOqa/NUQIQ7focNKMmLVzyrMJk9GY48MTbmxcYX1rnVW5wtRobNPQNI7xtMb6UJaaZZ1lbPnvxEtowmregQvlx5Jg2HXWU5UV3oV6HyddLIU1pKoTVSGQQsfDso1mXaISY5HSxwNOYluLUS1JmsRQjlwOV4uVDLD830Acj/4WGbxZbSwLFqgYg1+s12xcBfqgurUO4wRJFth0i42AbQ3eWLSWl96oSIC3JgBzQxebX64G67h+z4oMCMqFjiuxEOSBNFVh3SMdQokoxS/UFo9SwXNlTRNXfeFBFsJAsmAvWWtYNFaYtkGp8HCrPM4ZqwAAIABJREFUVAQyw7IQOsnCe5flwaM1m81o2wYhQvRnAalcpN2A5f1joaYsggVBkQqDKYBMgj/MtDaaqxdDhYmDRRi4FyiBAB51S6SFjl2EbduAN3jnMSYoT4uvt2AtSRnQBdZ6nItm72VqUePcIpHpYg1ZWEsvZMTFIB5UwhBxX5jSXUR/OBvOnUWS0y7Xt8Hjtlz/xus3fK9hCA+eQvsGeHOhOIb3OnjSJUmWxvW4C8OUEBhnsbEvMvw8Ep1kwKJgWkX/16XNwLuw8vzq0etvRC3/1g1UL1/sBu7F0o0UDdwI8jTHWcvJ+QnPnj3lk59/wu7zfTpJwfb6Jj/6zsdc6a8xJGPYHdLPBhS6R1d3SWUeYpwGWttSFB3GM8v+8TFrW9sU3YL9kxM+/+l/xHvB22+/xWef/oJ33n4XaQUvzh5wc3ub4dYWVDPQEtfrYMoJ6aBHOZ+R69WwRyeay50ApdA6mhuVCIBRHz8ocuG+D0A/x+Ln9vGSEfzqcRXSgR4Xb0AmFEB7i6pn+PkF1lTU9ZjJ5JQ0U4wuQtFukmToJKOqLefnE1683OPBg8ccn1xgnUAlAYwnrSdBgQugQYQEJaidDwRbrWm8o8Iyr2u6aUJZNawogWsrGjliDUWaaJQH5aARnk6WMty+go5FyuNqzuqtG7Q2RJXPj2ZcuXIFiWBaVbx19y5ZmvDTn/wZoKkrQ9O0nF6MWd1YY2V1jdZZ0jRjNBrRti0nJycM79wlTVNOT0/J85ztrS2+fvCQLM24dvUa+7sHPHn6lLX1dX74a78RwJsnh8wujrlz/22ePn3C1w8e8Na9e4EJk2a8fPECZz0ffPAh/cEAYy2Hx8dYY7j/1lusbm3x7Okz9vf2yLKMa9eusrISAKcrwyEKweHhIYP+IFS/OEenE27UN27exCvB0eEB5xcXOBcqNwaDAVe2rzCflzx//oq6bhmPp5ydjegPBmxduYJXBpk7IMf7nFk95ad/8WeowvPB9+9x8+4tdNrn7MLz6Pke1UHFq73X3D3b4urdPsZVrCRDnn79hOnBOcO6w9X1a1x1V1ldXSPNU5SXXN3ZYmttgweHJ+zunmK8Ju/knJ6Nqarqm7o1/I2+gm3jMnQiRfCdSOmxpgIceQ54hVYCJxW4lKYN8fWw3giRcGNCFQlaBEUq6CnIaDAXQmBsQ9MSPVGRL+VBiZDka03wQgbeVDCnLwC2y2HLebJosG7qAJjUWlEUHeZlRZqkOKGoWxOUG0K6LZFgTRtCLC583yqiY7I0AB+bpomrJBd7RmN5cDy7w7BC9DqJOJQEpcTGlV+gu0T3qTAkmSDRCU3bEOCkYrni9D70RixYRWEoaGPay4aScBVUvDzPmJYVzsZKMBlSfGmaoHQYipdGadPEX7C7/DuTsNYMCTi7VM4WDQwL4/zSqP2mt0zLWOdi4iAU1q+hZ86glEcnEoQFLEkSUAVNU1HXJXmuWSANvL9cKTp72fpgnVkOLMAyvCRlEj1yIqY/9aU/14vLYcoG9SfkCMJAEwIVBd18EHhUpolqF8uBCil+BZUh5KK7NnjXyqYKNTje0bQNSgavW+BFWVSiESIkEJUJDx5Jmi6HN2N18M5F5MaC57lAP1zS0vXyQS545jy/fPz6r/cGEF/fvoHq+Ssg7tXxJFLhRbBmt61hOp1SNzWHx0c0psFYw2B9wK/94Afcv/sO7+/cJhEJ3axLprooq8iFJpMpxjmSLFQraJXy/PkL/uiPfszDp18jEDRtyzs7awgv+eKTr5ic/Cl/uXOFfr/LaDTm41/7mO0bV7l+/RprO5uMxsdMq5L1QYboJnhf4VrAhZSNtw1Cp2hlQThENNOphVTLIuHn0RGcjl8UGVzi9xdGT5wDb4Ja5gzYgH1wtsWVE5qLE8r5hHk54uz8EHzLbDbm2bOn4anJS/qDNbK8T1VOOT8/B6FpGoN2HrUwYfpYjSMEXgXjnxVQ+yDjVgIqBNZYsiRlLhRUNR5P0lW4JMcowWgyoSnnSO95+uQZ795/i26RMxgO2Ts95MbGKqPpmNn5jL//wx/irePRg68Z9vpkacJ0NGVzc4vhcJVer8fRySlZmtHr9inLmmcvXiCFZDYeUFYl0+kc12hePDtgPp1y6/YNnj1+web6FoNhj8ODQ54/f869e/dZW1/DWsOrV6/oJCndbs7xySl7+wcMBoP4RJRwdHTIbDblxrWbrK2u8fLlS6aTKVon7Fy5wsW85vNPPwNgY2Nj6fU4OTkJreo2FJFeu3YdrRRnZ2dxzSEpy5LGnSFyHf6ui3OUCk/9k9GYo4Mjrl27wZ27dzg9vaCsaq7fus7p2QilNWm3y1n5ijSVJEnBynCFnTtbnIwP+OB7HzAuxzhlyLoZtQ2+luGwz9r6OkmWcjI5xJ41eO+5e+8ut9IrrOXrnH8+xRiP9YK6beji0VKSqIx5ZXn05BWfHvySYX97eYP9u/AKKy8dIFRakai4vjft0vgrJRgbkrqJlAgFddXgVILWOXlWcHFxEQrO1eJDL/GoWF7r8FyqCJdG7Lh2kR7rgjoj4wOaNSaALJWK97FgftZxKMjzjDzLmM1mS2TAdHpCp9cLw4qQpHmB0iElW83GbxjeQ0+hFCKurgRpWoQOPGupq2qpXgRfi8I4Q1M3wV+WJMufxbtwr3MOpIzJruiT8rEeLKAnHM43pHmGkj48OHqNcR6dZDjnLwn1QseBwC/Xh6EPsEFKTV4UCBW8sUJKZrPpku4eINFzsA5rLuuqwloJEGGgRLBMszVVs/RoyqgILvoLjTExBRmGGO8X10zc9wlPmiUgbEgvEtZqdRNWpQvcwwIsLWXkh8XXYlVmbFw0xqFeSOK/G6jjocw53L+c87F8HZRMo9fExfd80TfpSBJNnvTI0iyAQ41crvrCyjYPaunCq7cMsy9UobhLkR7bGhoTVpuZKpYKGxHr4JzHtA6tL5WmsizxskOeFwGNFFfbiVpYfkz0H0p0ErhkYeUdvGiPXnwzaeNv3UD14tmraNxelBFHWJuTaKnZ2tri65895Oj4ECFgdW3Izs4O165f4+7tt0hLS6+bMdAdEpWDVWQ6Q8gELw1VOSfvdzk6POAP/8Pv8+rpK3LXZe/wgDTNOchrjGtoj06x3nF67MlGCePRBYe+4ubRDe5P77F2tkFdVYxHY66eHjMcDtgZOnpJD5Lg98EaMHVAG7RRc5IqwMycXJrul5KsNbEEOahPHheWej44qKQISpf0BlyLNw3eVLi2pi7HVOMTmrpkf/cF5+fHTCcXDPpdmlkoIh2Np5SzGSrpcnJ8EgCUsof1oEVKYsMHr3HhqdpJQChQAqkTnA1rv6q1tB5a5xBJilUJpa1RQjGpDWo8IVWS6XSKbVv6vS5q2GciYNZU3H37ezy9OOIXL5/yznvv8o9/+E949p/+mINXL7l55RrHB4ekKuHOnTthfSKg6HdZSx1rrKCFZD6e8f3bdxh2htSp4OHzx6HewmtOT0c8f3HKaNLw7jvXyYs89Hm1LddvXufqtSuMRmMeP35CURRs3bpGruCrR4+4fec261tbPH/1irOLEd1ej50rVynrmj//2c9YGa5w89YtTBtWdmenp6yvrnP79m1msymz2QxjDEXeYXW4wng8Yjqd0u122dvfZ21tdXmDGa6sYPE83XtJlgYy/I3r19BaMx1PuLgY8ejhQzrdHk1rybs9HJ7NnZ1gYp/OUX3F2voKnd4mw5UtOv0Ov/g3n6DzhEIX1K0nzTVZkVL0OlRNw97rQ1Y2UuZlha4Fq4MhAkldNzSyppt3mJsqKCsOWt8yHPQp0ozpeM7+wRm317d4+8490vTHfwN3iW/+JaLCoVUShhjXhpVHfPgRsTPT+1DPUTUVSZItFRhj62hbsSSpAlQw1AJC2hhkdoHJIxKcl8uv/aZnalG9sSh9ENKDcOFgcWGd551Hq4RBv4e3bQBierc89EfjMUJIWmPRqSbVCWmWBxVIKWw0fudZQJSouCpUKhyyidbhwFaKqprjbFCHbCwBrk0b/VdxFWYMzgRPj4z4guhewLTRHRrVnKDW86se1QiStA7SLHhBW+dpLAgd6OleXPqwptMJebeHUglojYPlSlJHDyNAf9DDRaiqs+F91dEAbYx9g9DtY7IuKjdKYN2iG/FXk5dKCrQqIpBVLo3gl9dHKFA2xkYYKDRN7DZM1KVvS0usjelFx1IBW7CXFkXHaapCdc4bQ6UUOg7YYT22+DlCtZELyqpaDGxh+EsSjUBTxQHZeYcSCzUvIc2ysIperh19VN0C8HSxThZLxqK/VMRc8E4FtVCBVDgEdRto9Is6m7oy9Hsppa+WPrOmqZiMRqyuDuP15UGFhDzROqOE58k3wKCCb+FAtbu7j7FhlSPcZaTWW4/1lrPDE2bT4IkpqxIhBDdu3uC999+j281YX13DWk1jctJiBWPheDYjTyFVEp9C1Zb8+Mf/kZ/+9M84vbjg6OiE1nr6gwEXdoxRNpScKsmkbUg8TM8v2H29xxd/9SmfrK/z1p07wURoWnZ2ttnZ3uHDDz5kc3OTXrfDYDgMv/QmwBRM04ZIaZLiiD2CSqPSHIkKF51xSK/AOyxBuvc+rPgELnI7DMbUKAUyT5gfnIFrmYxOmJ8f0TQlX335Gc4aVoY99l/vhi5DD65pOBkfQFJgTTCNNiasFtIiRUXOh4jN7c5d4hm0CtFq7wkfVq9onadtWpqmDUgDpRhPS6bzmk4Rdt/WWUxVM/WO5ydHrK6vMPKGifDsjc754dVtujub/NP/4b+nLz3/+nd+m8FbV7j77ju8PtjnZ189ZWWlw7Vik9bNydCkSY9edwdTOs7OpyQq5+qNG7RtTVXNmdUlV671+d5332Fza53ZZMLF6Rlbm5tcv36d0WjMwcEBKytDrl+/gTM1+4cH3L5zh5X1NZ49f86srEizFCkkF+Mxpg0ye6fbpaprxqMxa2trrK2tsLZ9g6OjIz755BOGwwH9fp+1tTVGozGdokO322U8HjOblwEsWFfcuHWL/YM9VlZW+O53v8d4dE7TtJydndHr9hDAnVs3Kec1hyenFN0+87ri9HzErGqYNzU7V69x5eo2N27epNvbQlAwno4Zrq3x+PlTtq9ugVBY7+gPB/R6U8bTCS9e7FEMoNv33N26ydlojpKSPMvAQaGzOCCHG3M5n+O8wTQNFJJef413Ptihq5Mlf+hv+0vEpFySJDhrsDWXGxdYGovB0wK+DYd4iLCroKRYR9tUQYHQikAFUFiX4gkQTSktUqW4N6pFFjUti4oZuPTCLMqSL//d0DOX5106nYLJ6JxyPgtpqoXp2zqSNENITZrkwZagNFJprDEUeUGoKNGUZfhv0jSlNXVAlOCp65Cstm2LswbhNdYEQ35IxInl9+yNDaZn5yjyNBjNCZ2irQuDhozWglBgH95wwYJlFBQ8VPAghjRwjfcZXthQ2KUkDQ6UIu8N6XRyvIfRdE5rHVlWkBcBXLmsxokepcWqtCxn9HsFdV1TllUMXRCLiMXyPQaC5yiar5fYigU2wwuaxtDvd5nP5yilopnbLgfiMGjJZSIx1PEE+GWSpAFp0UbyuvABweAFdR18xEpF9UvriC4QyzWjWHp9iSpZ6PwL/jZFkiiUDobwtm2CwqVAioJ5U2FM9DpZtwwxZHlUiqIiJcQl+gMC5qGxDgjDfpKmZGlOkiQBACqCKq91Gj1u9nK1icRLiU4TjHWhV7Jtl80WSRaQI0XRYTwakWUZ1rZUVQgoCCm+EagnfAsHKoDXr/e4d/9tpL3kpyzowJPJhL3XuzTzllzkbG6u8uH9m7x9u8/6WoXTqxj6AZLoBBLH6vo6TTmntS1ZnvPVl1/yxz/+Ma/396mbNvwytaKMPgMvg5vJzxtKpci1xtY1VdMguh3mTvOqfsr21R2EgidPnvLlV1/x7OVT7t+9waDf49379xj0+kghKdJ8mVLIsoKqbmgcZHmX7mCFJC9omja0dcvAwBKZZnx6ysrqECmgaWrqeY2zDVI4ut2M8eEBg36H/aeveP7sKYktefzwEZPpiFSnlPOKs5MRt27d5NXrl5SzCqkTlNLkeahDMHOHF5KmdRRSBvo7YXDy0a+lhMc6E1aTUgXKc/RE2MogDIzmJXmaoZOQymmMRyiBFwqShLTbRacKmXU4Op/g0DgPdTVD+oozVTLXDWwXXLlyg+GVHdpuwv/+o+8zPj/lwRefM1gZksuUxKccvDxmb/eAVHfZyVfR0tCUFuFTtq5dxbmWw7MTsm5GmmpW11aRUnJwcMB8HpAOW1vbVFXJ7quXrA87rKyu8PDhQ07Ozrh+8ya9fp+6bjk5OeXq1avsXLnK+fk5L7/+miRNeff99zk9v+AnP/kJ/X6fDz/8cGkaBs/FxQX94ZBnz57S6RRs7+xQ1RVWCJwQJHnOi9e7bJiGIktYXV3FW0NdlsxmM6aTCYnOuH79OpN5iS4KdFHgZML3Pv6Yv/rsc67eWKe7MgAkxjqsEPRX1vAopEowDloTymQn4zlt6xn017l57S3WtzL0zOMbG9TEdAPvHHmSo+yM6WTG7sEx892Wycgw7HcYi4bT0xnVLCXLQkfc35mXD4W8i+i5EIThyoUyKCUXweQQmw/cosDYkUJhIr18SVnHRt6Oxgu9VDmE8OhE430wNPv4UGNtQCwURUHThNVTlmXxgLns8guIF890GgapZd44Dr9pluEQ6CQLRbQetE4jd8jGNZ27TNFJGQaytqX1gZmllYggzJaiSINHRkk8Ota/QNs04VAWAcBojQ3fhwhkeePckpUkpEQ4gVeGhRECJJcU8sDoK4qCZe0Kwbu18KOGVZ5GK4XzwXOTJRmh9UbgraUsy6XaWFUVdVWhYDlYIIKnSETGVdsaqmoWfic6YQHUXKzN4NI/pRTkOqNpKpqmiim/wPRq2zp8z4ttgxS/MhwLIWibOvrOgmLknVmefwvcwJveWykXJdBElUghUEvMwsL/BcHkXRTFUi2DS8VSKqJHKVyf4dpT8Z8FZlmgtTfLVbNxbQwG2OV6Di4HzCIPw6tWCc6C8UFdkkIhdQi1hD7C8PNrlWKdpGrqEKSwi9WwotvpEuCjfllh5F0w9VsT1MGm/dU2gb+u17dyoHr18jUfvPshwikaO8OqEpPNGY0OKJsJD796hKskuRiwtXqTrdU7FMkO0g8DiUDLmH+TOCxHx+d0O6E36eT4mD/64z/iF599SmVaatPSWke36GCMI3WCXARCR9jXW6QPSQojLRQFI2dIMsm8UMzrkkp7nh8esPvLc6Q7J0sThJizs7VNniSsrazinWA+q+gPVphMA7kXLFknRaM5Oz9he2cbPzmlquc4k5Api6Ji9+Uuq6srTMdjrG3o5hl6Y0j16hw7Pefk+JDHjx7QLxSVKXHCMytLlEjodlc42j9ldbjFdFqT5z0aL5hN54E7onJSkdFaR6VBS49LAhpi4WcAh/BBacP7oLgCWgSmS6/oMGnC/t9ZT1nPqZuSTif4DMppiW8VtlWINMPNFau9dY7kLkcH+1TzKb3VlNq0pEXBvK7xSlH0+0zqinFdIzo5733nu/jGUM9aOqvbJMN1Hn/9jEcHe+QZXLmyQ2pSzs9O0YliZWOdeV1jjGB7cwNvLCfHJ6yvr9Pv9zk/H/Hs2TNuXL/GzvYaP/7Tn5AmOR//4Ie0bcvT589ZGa6ytbVFnue8ePGCs7MzPvroI8qq4tmLlxyfn3Hv3j0GgwH7+/uhMLVpyLKMwXBIfzBgc3sbgKPTk1j3oZnMZyRpxs3btxlPRzQ+VIm0VYVWik4ensqapuXi4oKz0ZidmzeR3pEWBWm3YGV7nXltyFyI23shKPpDdFowK1ums4aLiwnjsUMKxXC4SlU11KVjPm1YWY3r1CSnbRq88LS2xpiS3d0jZsJzbXuHD39tyNWbBzz7d19zOvGcn89RYkiWmGUi6m/9KxqxFyuPxaH+5sv5wJVqY1WMlCIweBZdaV7glMB5sBE3sVQZ3hhMFyiK4HEJKSkpFUlaIIyhaV2E4EKei2Xf3uLwdF4wj36pTq5Js5S2EdR1HUzeSoHUFN1uWL+0BqUVs/mcVEnaqKT4mL7SSmNMs1R12sbEzjb7K/iGBQg0ywukFIzbaRgCVFQ8IkdQK4EUGi3DfVqKRYLZx/dURjM1RLkqrkSDChOUiRTTNlhnSbPAZtKJAh+Gt0V59QJiOp1OqefToCp5jyOlaVvauqaMK70k0bFOxiJVoNo3bROsF87gXPCReW+xdpGCSyKbKwxwucqWq0drFv6wYCh/s/MQxBsDdPjdVXWJVoqyDAqXNQsVTSGkxLUmEudF5JX5pWcTybIPdWHcXww4l14oReiKbCOxP9LvhcQYMK5cojmCCqaWDw7B8xVo/0mSUZWGNOkwml0ghQo1S1i8ACWTJe4iVOaEa3mBEVmkNqV0webiw+98UXidFhlShGJpaxxpmoOzNLYOK/d4nWRZGhKt7psZpuBbOlDtfTmi8xvX8LrFJBNaWTGrLkiyhIPDIw4OzrBthnIpqdpke/M9OtlNNDnGKKxoEEoGOFhTsbo6xFvDy5cv+YtPPuEv/+pTsjynbFp6eQedZjGOn+GspakMjW3xLuDutVT4TGDShN5ajxJDZee8evGYq1e26a8NuJrf5Xh/j7XNHmU5YzI9QcqW7Y0NkD0mozGfffYF/81v/VMm05qdresYL1HSo7Vg49oVjg73YbLHF599yu233mZne4fnT1+zublDogVSeXrdPlhDPZuSZhm7r57zxZdf0u0N2D98yupwwMHRMcJqZnMDViC8Jqklwmd4Fz4kSjRkaU5VAlIivKAWYHF4JbBOYOONEufQhF4l0y4+6GGwEji6nQxMg6tbskyz2h8wK6doGdIarQmqV9WGLr39vT3yTlDK2sZgrKVqDIkCg8MIUHmGjV6DlZ1NHr54QqUALaHfJU26zF4f8PnuSwadAe/c3eLe994nkQLhLaau2X31knY2YXt7h9PzMySC1bVVOp0ObdtS1yWrqyvcu/8O+7vP2djY4vbtO5ydnTGZTDCtoW1byqpiOFwB4O5bbzErKw4ODukP+gzXVgE4PxtxcnxG01YIqRgM+tRNw36kMd+4dZOkyHn8+BFewLypaU1LfzBgfWUFV5ehcsF7nLXomGTJ8xykpj/oM5vPODo95aKsOJ6M2djZQTQSLyReCsp5MCsX3QHHpxcIJTk9uyDRQ25cv8HRQcn+/ik6kTir6WY5iZ/SSTaZTj2zWmCaY2bNEWVV0dm8xcr6NfLcsrIyYGXQYW8y5fj0hHlTk7q/O8XICyCltRGKGw+2QDv3KBGGo8DHCYqAQAfwJguIZqBOSwQ+Dl0LL8xif7hILy0Owcs00+W6ydoAnwxrJo0nrGaxESC5KDFeRPzdZXWNUoqmNRTdnCRJaaN/ZZGckwQ0gY59hEoFz5S1LUlUMaw1hLM7mPCbukIpGVS5NI0IB0We52GgiiltXPjevfMkOsEpD7ErMKx+zLIbLrzeXDMF2Od0OmE+n+F8h/l8hlKCopNS1yXdXo+mCgdtnucRQxPSjwtv0KJM1zQNSgjyCCotOgWmGeNMueQrNU0YIosij32FIU0X/o7gMzUhrQMIEpUFxl80jS9WbKHT8dIMvrym/KJQemFgj2lOos+qDYNImgaUw5ur3SiEonUSk45hyK+qEJAIUFaJlOHfD/19i37I4JFafK2wBvZ438ag1DIhRWCJheteKkGShq+XFyn4mArVGdJL0kQuIabOGawlXotcwmBdMJKLBQojfi5m1ZReb4AwceB1LrzvSpGlCVUZgM0SF2Cn1oaB3JnQIvANvb6VA9XTl4/RhaVmhpVTZGpwVcvJ6TkPvn7C3t4pnWQNJTokesjq8Cpa9+JTjwcdeSm2pchTjG2Zz6b8/Od/wT//F/8cZ0NfU11V1M0UH0tgPYEYXAmJFZ6sn2OsIlWSJJG4tmZ1Z4dHDx+wka/w4skTRFVT3LrFd+69TXL3HXTnjEHR48tHX3Bt+wo3bu7QmDkvXj9hZa3Py1dPuXXnbaqqRKY5UkFZzqhax3w+Z35+yLOXD9i6us7zl1O+/OXXfPCd7/HOvXc4PjmlNxiws7mJANKix7OXe0xKgygNebdH2svorw452r1gbdhDu5SD3UPwKU0NThh6q13y3NIf9Jm2M+rG4tA0DqxsUUKH1pvImMF6lBM4C8qGD0cTnAtY20aQJ5i2wbuWNOstpV+pFdYKhAhqS5bloWcvD+WaL168Yjwec/PGfSajGa1zKGeZVTVoTZImyFRReotLkqAUtp6k16W7vYXNC2ZKczy9oLu2QqIlzXzGytoqN25d5dEvf0k5n4e6mrhJGE9GjEcTvPfcvn2Lrx58RZZKNjY30WnC85cvSXTKnTt32NvbQ0Uj69rGOuPRhP3DpyRpytvvvsPFxQXPngQsxdrGOkma4D1keUpZl5ydnTNYGTIt5yAEa1ubTKZTuoPAnCqrksOjQzYH/dAzicCZAGusmwZjHUkqGAwG5MMhrRSsKM31O3dRWcr+6SuuZynOKrRW7O8f8vTpS6wv6Q/7vP/++xQiZXJa86yred3pcjBpGNctibC49gJsh8mk5OXrPca7X9HNU3a2tsi3tyk6PbK0IR30kVica7gYT2mMIy2yN1I+f7tfwVAtlyyiwFxql5gDFEvPT5YFBlNoQyCkxWxQdvI80Lrf5EgtaqiWrCEh4vomtCQIYiGsDg9DSZIs1Q1jDOPxGCCuXULaagE7tC5ws4QQy5WPMRadpBgbAJ8u/j1FXiBNgzM2FCb7UGkiBEgfCdjS41wTDkkpIjOpQcqUNNNYGw7KUFXSEGxNOmALkkggj4dukiRBiXCO1rdRhXpTmSIewAa4ZFHleRb9aQopiasjT9s42tZTFElEVYQ/V7GCZ6EKEX+XCxzAwldzkTQ2AAAgAElEQVQmfEhMayRJqgJl3Dq0SqLHTEVjt49KVkAQKKVIkxRTe0rbonVMSrvF+syidXI5OPrLleZiyPDeLn+eZe+eJw7j8fpp26XBfPH7X7xXUuro8woPOWEATIIvV0qm0zFELMeC6ycltKalaSoQcXXoIdTdhEFeoZepSWEgTTOcj+XXxpBlKQs2lrOxm9YbvG8BiZYKRwDPimV1G/G6il21zsYhMKOugn9NS83q6nrwHpuauqqwxuKwNO0chUekirqu+Cbhwt/KgerrZ18wZY9ikGDnFY2pEVJRdHocH52jVIaU4cO4vbNJ0dWopMExD/FiGdMbiUJLAU7w+MFX/Pa//j959fw53W6fi4sL1tbXEUJxdHrG+sYGdWOo2xpbdDCtwc8qcJYsTSh0QlflTPePycoWs3/Oqk+pDy84aDw73SH37r3NYF1y8+YWt966DdZipeN8cs761hpapHT6Oa93XyBkxvrmVVSiaOqWF89e8Kc//Rl7L36Ba0d8p/mIrx48ZnfvkJ0bNxnN58zbNpDJswIhJZ0k5x/91j/FGsMvP/uUTz75A9z0gs6wjzieMi1rcqFIsx5a5qRJhzRL8BbOzy9o6lBeGm5KFVIQCL9WoF1IV7bGhj9H4ITCChcUrZjuMJHN4vwlITfRKYGLEp5aBR6lU2azY5yDd9+9z/UbV3j2/Gva1jAajfnn/+JfMrp4wc0779AenlP0hty4dRsnPOejU4yH0/GIbrePKjLaFmbWMLUW7Rpa3WPuWjISRKoRuebo5IT9w0NyKeh3OhQ6YXQxZj6bsb62Rp4X7B/sMy9LNrZu8vTpY3b397h18xZK6QgHNWysruKBF89fUreGjc1NBsMhZxcXzOZzrt28RrcTik0vLi6CiVh6lE5ir2HDSm+Vsio5vTgnSVPORiOKtqHT6bC5cwVVlZimCe+rDzemrc1NjLGcT2cc7J2x6oJnZlxV1E3N0yePuZiPuPr2FU73XnPy8oBu3uM3Pvoef/bFV1y98z555sjqOQ1zMmmZTafowZCiu0LVOLq54vz0mAePX3PzH/4GH/4Xf59O4nh0OOFwNmF9fZ3pfI5u5vQ6OVqOubi44PMvf8nPj59R183f7M3iG3tdUrIXkfl56aJKIAPFmmAuFoSncGNcDGzoRSgpeIn8glYdV+pSR6ZV8MTIaC5fKDRBEVPLOpM2pugCZSUOLgTm00KFgKAmyCQNJt+qDj+Dd2hhwEuatgklvyIYnossX3LFgt+HODw0OGfC3yfD92aNQacZzgVPjZCCJAmlxt4TBxRiUjuQBNM8+GmWPKHIh/IulOIaUZOnOg44oOKKzC19R4oszxAi9HtmWWA2eRxJkmKtJ4sG5ks1Kqzn2jb0yAV0wwKgLLhU/QxaQGvBOYOwUWX04QHHxyJf4cL37KylaSo6Hc3q6ir9fp/9l+chHaiD3yluKmMrBr/iZwoKpsAttgC46AvzUSELfrygMqnlILYMH8gw3C7WiYvqF60TjKnRsfhaYOLaTqGTSzBrYDstBjyiUd4SKonkklKfJGFQq+uF30ks/VreuzfgtGEIXPgGF9iIhQ/PxySsdQ2zeYlWAWMReFaaXi/DGEPTtqQqo+h0EEIEZbEuqco6+Nucoa2bIJoYR13Nv1F0y7dyoHr67Cmj8phG5+i8y3hc82rvlLryXFzMWVlZoxzXZN2c996/RdFp0XkJZo5QHmlThPfkUlNXJX/2kz/l3/6/v0siFcNuL0jmHiajMU4qskRzcXZGbzhAWug0lkQmNJMp3U5OgiIzMckwmYb/djJBKsm4nlGPHX/19GuOzIyPs23Si+DBunP7FqnSzC8mWOmxtuZifIF3kitX1xmsrSASzbMHj/mTP/kJf/4XP+dw/wE3bvSonOHLR18zmzVczEtU0SHtDWkqgzEC4y1JljK8doe2KhHJQ0Zliy4MGh1o7EqTpl32Xp2QZgl5N0eoUCaqgBvXrjB9/IJEOlphSVUGNlZhLKTlBUPEe5SUy1PBxz+r2yCLtzFh0rbhiahpAhE4xKktUiVcvXqV+bxcJm3yvMD7OcPhgH/2z/478szy//zuvyfv9JnP5vz+7/0+k3LK3/v1v4dOUo5PT9FJRrdbILym6PXZ2t5hPCqpURyNzrh2ZYcszcJKzRm6gz4yQgZH4zFtU7GzvY1zjucvnrO2tsaNmzeYzIJqtL66DkIwOr+gnJf0+/2QckNw69ZtTs7OMNZwdHKCUJpur0vV1DTtmOl8TtW0GDNnNJ3SG/YDk0hC2VQY7/ju97/PyekJe/v7bPb7vHr1iptXr7HdKTBCkWhF29Tsvd6lKit0lrG5sYXXKUf7R0zqmr2Lc5KVVX7zt/4rfu+P/pCLqWE6GjHMNLdvXGH1+i0+f/aK/mBIOz8l856N9RWsqdlYX6PWOZ9//ksKhuR2n9XBLW7fusHWzjZazRCypVdk7M9r6npOL83ppkOuXdumvzemmnlGsxn3bt1B66//pm8X39jrzaSdUipCCcPB6RCXhwqXKkM4DIN/Jc/fvB27eIgBMpjCtVaEJinxK18TwsEUUlkudOU1bVCrdEInL6ijv8s5G3r8pIpqmgr+F0GoUEEgjKVpPVma08lSqrrGtRYr22XVCcTDkzDsBN8YWNuGQScerEIIOnkWhjvjWZCIBSzTdCoqd3meU5ZVONBl6Iizpg1AYSlIExVsCFWNMS29XoaUmnJeovXi0AxDhNZheGiaOvKNwr0nTeTSjL0wTb85zAZ/Vlg1heE1oCt8oJcCNvq9JDIOukFxC74krSVKpFjjKec1phWYVlJXDoVBJpI0zWjbgB1p2zaCNIPZPgxIl4OWixwuYrIaFkZ9jZAarSLY1LFU1xa+KBGDQwvVLAxVceAXATy6oNcnSYKQ/lcSgQvelZKaqq7wPvQxBhxCG0zqIjDVlFYoqZa/A2vbOBheDk3BMC/DOYGI7MPL67m1weS/eFBYeMra2mPmoHqSbtYNn61Ec352zmwyRsY1cwCiymWF0iJpuXc8/s/y+f7/8/pWDlQvX+6Sr2wxmU3o5gPyIkUy4enjrzk+OEeLhEQL3nrrOrdubZEXAiEapI5PjDSkeZe2nPMf/t2/5//4V/+Kk+NjirxDKhXTsqTf7TEtw3TbtIEpY2yDFw5tW2RraZs5vpeiOgUuk9hMQ5KiVjXCdOgMuwFloCXJ5gb62gbp1g75SkGiNedlSYLAtS3leEInzalry5Wd6+SdgqoqGZ+N+eRnf87v/tt/i/OSa9fvcPV2h88efsWjly/o91Z58OQpjdf8vV/7dRKVIpKMyWjEi68ecu/eWzx/8pD/9NNPQAyQmWJ39ww12OL+Rx/zy09/wVge8871HY72TpnNKq6sXkcqyepwSFHkeOWoTRmfdhrSJF0ab0P/WLhBCS1xMU1kjcESKM1t24anyGg8rKs2sHiqGh37wawxHBwec3p2zvUb11EyrC/KKsi9WZ6Ta8e7b91HpwXDtXWubl+lcS3HF6ccHx7hTIs3nsnkCUp2sG1Cp+hyfjrDeMm4nHEjVWGl6DyrG+uUkxGzk1Pm8zmubRkOB9RtxXQyY21tjd6gz8VkzHQ25dbt2zR1zauXL5FCMhwMsW0oyq7LmmwlQxDQHlmnw/rmBjpJePz4GZ18hcFwwMZWF+cs83LOcGUFYy2jyTkPvv6azc1N/sE//E1Oz88YrKzQ6fXwMhS9nhyesrK2wdxYVLfL6p0uL1+9YihS9h89QyvNte1r3H73Po93X1Mqzx/+wR/y9aOHDNd7vPPWW2ylOd7A0eEBJ0dHjM4vWOln4BpMY9jYWME8e8ZoMqfz4Q2OT0Yk7Sk/+s4POK4tp+endIYKpVoEFoUJBOoioy0NTVUxn45wrkAlGXfu3UfrP/ibvl18Y6+gBrUonYRyYg9ShRi6lBLrwmERVhl2OXA458GGehCExy59QXHN52NJrUxQQi7j6Iu14KL6JPj+6uX/DwNTSHg5a2irlk43o4jctTTR+Oj5CUmqUMmSiPA92mgIlkiaugXZ0s1TqqomURKpdSw3tpHQ3UbKeaR/ex8LatOQAnSOAG5cKHcaZ23ocY8MI2dDkCH4xhzGNrjYltDGVdjCc5PG9XlYD+pwb6mrMASoIvwzwjrU2jYOHYr5vAzm+bb9lfcq1MtcrqiDYhR9cD4MMlIohNJIrUMaUYaATkAW1CHNl6akaUK3F2qx5vM55XyGclUgftcVqQ4YCGdtNNHn8XpQ8ecPg3b4CWxcCwePGcjgyVsiEPxyoFsk3kMptFhSxEPRcrssvm6j/3NRV2StiYMXSwTGdDpZmsQ9cXWZ6qX6FN6j4P9K0yRQ7JsGpVQo/86TSI8P18OlAifiMArW+UjRd7RNG5QvpcMwvVy5puR5Fnx7QmBtTTm7QGBwNGEIEyBkgvAipgo9dVUhpeTJ67Nv5PMP39KBCuB3/s1/4P5797mlr1N0B9y9/R4nB2PWVzc43j9kddDjg3ffZXW4QqqLYMgkRQpNW9akMqGajvnOe+/wv/7P/xO//dv/F7u7+6Q6oVN4mvghKusy0Gu1wimCZyhXkKTc/u53WN/ZRCSSST1DpJJOv0PeK9BZwmAwQCtJIiXrq2usr6wyzB3dNc3W5gZnh8dMzs6wVUWaZaxubpHKhCtXrjGbVjSzcz7/8iG7u7vR6JmytXOdW2+v8OeffBr8REXBgyePWdm4woOHj+OBvotSgoO9fa7euMFnXzzl//6d3+f+vfv8+RdH/Lf/5L9mfdAj73bY2tlmcn7KkydPKNKQWmyNoaxKZvMZ5XxO68Ie2/mAKVxEUwEWYL7QEabiBW+jihWetEwbbthOuKVxMk2yKPeLePg41tbW6PcHdDsFs+mULMswVnN6esL/x96bxUiWpfd9v3PuGnvkvi+VtfW+Tfd0u2eGmzlDkZIp2pQXydaDHwhYBgwZMGBAgN8MPwmGbdgwLMoP1gJpRIqiSVkckjNNDmeme7q7eq+uqq69KrNyz4jI2O5+z/HDuTeyGpBsQeAM1SQPkOiqrOzIjJt3+c73/f+//6XL5/BdSatWpz8Y0/SruBUfJWCm3UQnIbZrU6nWqTgxrtPkYO8UqQWe4xNFObuH+1SrPr60WJxqEyURcZJw0ulQtx2mmy1qvk/npEO9UWNqapr+cESaZ7Snp3m4s00wDlhZWsKWFnGUIKVkanoGazBke3ub426HtbV1LMcmRxPGMXMLc1ScFjuPdswoeXaWJI1IchOv0J6aotFs0mi12Nw8R7Ve480338RxPf6bv/W3+INvfYtTZ4altRWuX7uKSHPCIGRuYZFoNKTX6yIQRElMe2HWxFvYFq+9/DL1ZoOtrXPUXBuVJFQqPm1bsLG2Shwn6LqDwogjGrUK83PTDPZP2d8/5LUXX2B9Zgs7lriuZYJLbYckDrCloura2JZk//CYT956g8PDI2baLcJ+Tqd3ShCnE03En/ZV8oqksKlUa+R5SpIkBnvgulhFvpyllQk5EEbzI8oRDqVeysB6hTDXmePZpmNcjN5Rijw9G+mViIX8saKqfEiCYSSpSQFmXtd0xwyJ25YSS2hj0skSEHYR5+KgFIXTF/yKS5oGZGmC4zjUqhU839DVoyjAuA01YIpCAwCNcexS82RgpZNg3mIMhFIoNEJBmoTkeYJ0bBCZKWJ0SsnvyrKcMIwnUM0yrgZRduiM7sp1HYMV0CamPk1SU6AIsyHM85x6vYHWZuRasp1s+wzUCUw6jWmaQh4W788q2E4WWhsHnSjue2mams03elLkGbF1ThpHWKooXG0b25ZIyyIHHMtlPAhpz0zhOs4Ea2DbDnle6LEYk6YghCnsDKDToqTMp0k2MSKUDlNTTJkImDgOi3u0Y6Jf4oQ0zanVasWkwXTGEKYwk6KEfSqkZeF5BYhU52Y86xpiuzlOJt4sywVZnqEpgpS1SwkaneQDyjL8GEqGWlIwGMvrqNTCUVwTrucVzkJdxOpkxgFIjtIZkCAKVENehk0LCywbW8Dt7c6P8Mr//PrCFlS/+qt/hxdfe4G/+Tf/Cxynic4Tar7LTKvO6cEBizOzbK5s0KpOYWGy+oQ2SdSd3l2uXnkPKSXnNs7x/LPPUvUq/PN/8TtcvXadKE3JlcKv11BSkAjFKB5jWQ52zSW1NJGrUNaYHJ+F6Vnqoo3jmQvZdUzGUxqHICT1ZgvSlOO9fT7df8j1WkLF99ha32BwfMza/AIzs/O02zPUHI+9/T2yVBMnmnffvcJ4nCAQTLXbXLr4NK/8O+d47/07BIOE42SfS+cvYqcD1lca/O3/6X/m3Q8+YWVlmd7JmBvXbvCX/8Iv8vVv/Cz724945cuv8tqrr/Hr/+gfYusMmZmE8mZ7ijgIQEiCIMT1PNIsp1KtoeOMCha5FqTZGVBQF/bUyQhi8mddkG10sTvMzA1WZEhhgxZUKlXiNCocKYI0y0iSjDhO6Pf7NNs12q02Qdil2+milCKJMhp+hd5xD0cIZJG4nmUxnrAIRmPOrW3iLdfQyod0l2Zlm73wiMSy6A/6hHFElKbs3L2NrzVTXoVWq8Xm0jLDbpcgCGg0GkxNT3F0dEyqFEvLSwyDgOFoxMb6OrZtMx6MCEZjFufmGY/G7OzssLy8TK3RZGZhnnsP7yNsm9XVFUajEQePejTbbZbXVkmzlKOTI7Z3d6jWqugjmJmdwa/X+Pv/8B/QaDSo1xvMz8/z0ZUrtFotnrn8JS49dZnzWxu88/ZbvHfvNqedDr/w9Z/lL37jG3z88UccHh5x68YNetGY2fVVnp9+iZrvEQUhmV0tOFQ541GIShMGp6fMTFeJ0pTbN27y4Uc36Zza+F4Tx/Y46fRZbPpm/2ALjo6PWGwsMu05VKVkPDji2p0dFqaafOUrXyNLY37jd3/A7f09ev0hQWwYR38WlpSCil9BCJNPFscY+GQRd1J2BIx93tSZRqRudDEl/6f8s+k6YCCKGNyA5YhJUDITSKQZrUswrCbbLroyYuI8LMc9li2J42hiCFFKYduK0q1lugkWUvg4notwHGI0ZGb8kmZFR03n5AU6wfMctDYie620+RmEJElzY7XPFVYRe2Nb3sRFJ4SGXBX2foCyyMtNxzpPi3tIBsLkl5YZbaWLstT32LZFmqWEQVh05SqUoM0sy4oxEliWY+JfbKsYSRkUgus6hdOuzK8rCxImrs1StyVk0aUSdlEAm6LKrxhIZZym5vgUIzxznAsm6aSjVJwbBdLAtm2qVWMyMAVUjtIaV0sc22QKpomHYymkMMdHSgu0ZVh/eU4ZKVNmGz7uDNWl5krKSTdIqceF96b408WY2So0bwajUDhCZamnSosRnlUYvMuMQwVkhS4wweRNFm7Bogua5TmycLiaQtl0RMtNtSMkIssmXUwTi+RjWSZRQJNNxoe+5yItlzQThEFmfKLlsdUaLSSWUyFNMz57ePIjvvrP1he2oOr3d+j0fQ4Pr1Hzz2ELG1cEtGs27ZrDxtICmyvLTDXbeE6V0SBGq5yT4y7f/fa3+ejKt2nUG1y69ARfeuVl/FqVXGuiLEV6Dr7v0qhVGOcRng0tfxan5lJp1nCrPo7rs7m1Qa5y2lMttNBFtpQBzak8J09SHu5sc5IlHGuIkoT9g10ur9T5yedf4N6tW8w3W0zPz+NVqly9fo3uwTGri6scHJxw49od7t19RJKmTLV81lemWZmv809//QecHIbMTS8zP9PmpRde5Bd+4ec57J6wde4cy2tr7O7tk8W73Lx1g//19h3+67/xX/Ef/dJf4vyXnuO7b3yb69euMddu4lkamSXGmk+A7XkooFqrIgRUfI8oMa4ynRvLapl1BUxm3VIY8zMYwakueC7G4mt2ZlluIJ9xkuB4DmEUGEdR0Vb2PGvCVur3TbCu4a9E5HlKpdXAs2ySYlRa9X1kohFkLMzM8GgvxJEQB2O0ylianWOq1URnGb7VpNFscv7CebIgwFtfp+W4bN+8xdHJCcPakNFwyPz0DK7rsLu7yygM2NjcxHZdwk6H119/Hc91+Sff/DVmp6fZXN8gSRKiKMb3PBYXF+l0e1x5731W1ld55tlneOr5Z/nOt36HUAVsbJ4nCAN29h6ZG4VnY7k2zWaTMAy5efMm1WqVPMtZXlri1S+/yrmLFzg5OubC1jNkSYRnW0y3W/zE175Kv9dlf3+Pe7du0WjUWV5cJMoz3NEAx3E47RxT8VzCcYA9O4UoyMb1aoXF+XkGYcTBwRFp/wjQXDy/ibWfce84ots9JddruF4VFcZMTzXZ75yCZRMGI46ODknDjGatzoULl5nyYdA5pFmr4ToOnd6AUZhQptj/WVii0LAkickQtWyrGLfosw9lHsKl8ehx/c4knqPo3CIMrDhXRQescLyVBZHhE6mJo6zM9FNKF4BRJoWWgYPmlJmAJQk7zy0TcKyMRidN4qIDIPA8nxLyqPIM13OQlnEwDodDkiQpRkDGXm8VY77HOVlxctaVcStN4lEXgW1eU5lRjWUZ3YsSGqkNEDRLDRPL5BeCsCwjj3isoCqOoCn20nRSEJQifPg8ZsJASMWk2Hr8w8TOVFHK6ITi2BQFSZIRRQlVR5JnxsAkpGNCfvOcMqOxJLb7vgsCokiTJDFJanL8fGnhOp4pIgSIAtkghMSvVCfFjWFAnXXgsjw3rsrcM8dZK7I8NTxFKdFCG/K441NOK83YDyiCszV6UoCWP7P53QqCIADAcYwUIYoilDJd0XKUWB5Hc98vkSBmnmqKOWvSWXIcu9BOlTo7o6s1eIwz1IdSpislpFU4Vkt0gtHhlQWVSQ7RJpkjT9E6Q1rmxBaiIO5rs7kov58orqvSfXjnx0RJhy9wQfXTP/ll/sv/9i9z9f0PsPMuKwvrTNcF01W4HXQRaR+Z9ekc3GVvv8ODB7v88O0P+MPv/oBofMpsXVKt13l0dMS1O7dRWrB9uMfU0jxPPPMMh90OzbkpckdTm25Sm24ySgMsv8hBGoW8+uprJFlKKhWPjg4YjEd0R332jg+JosQgASxI4gAsQW/c5yQbUT8M2Tk4ZGVllafOXyQZj/n45j0kDlFliu+8d4PD7V06+0fksQkZzbWm2Wpz2h9y2ukxN7dAzfeYbbeoVRsMRmNWllf56Z/+d2lNtdg/OOLD9z5g3Buyffs+165+yNr8DN2dHWbn5vhL/94v8s73/5BBf8DS7DSdTgetcqp+1RCKhSQuLu4wClHCQRcOo3JOD3zuIgYjRs+yrLgIdLFLTg19WWuEEiRxRrVaIU1zrDhF+hZamQt1NBpzeHjAxuYqo7DHcDhi++E2f/RH36PiWlyYW6TbOSGMAmqNOo6UdEcmZHn/0Q5f+tKL9OOA8XjIVHsNp9BpxGE+GQM06g1cpYmGQ7a2Nkn6fU5OjvAtm2qtyuHBAaPRiMWVZcIw5HQ4Mjc4NN9+4w2Wl5d58cUXOTw85rg3oN6ept6c5oe37vP0M8/wKz/3F0jjkN7JMbevX6dRrXD+/Dmu3rhBr9szHa7xmJXlFV544XmeevIptre3uXfvHuPxmDiKeLS9g2PZTM/McPn55wn3ehwe7nP14484ONgjCEaQZbQadUSeEocBe4MB2raYWVrCm2riOTZTzQbbx4cgJUoUkRg5xGHAJzdvUWm4rM81eeXyRfSaS2d8k+DBCa7dYBykjMMEmcXUay2GD0fkQnLz1m0G3WNWLr9ML68yNTWLCk6oVqo0KhXyNKN7OmAYxJPz5E/7Oh0G3Ly3xxPn1ybaD6DAHZjrwJJ2YeAACt2NEVEXf4ez7pUwXQL1mKgYrc3DtegQmIfzWbfpbOnJR/nQKQOMXdefPOySJDa4hSKcN8sMHyiOTQcsz4tRmTLfW4ozSGjJLYIzWrrv+SSp0bScaXJ00ZXShKFhPVU8g4MZRCGuaVhjORbkGqEkeRIjhCn6TGGhkbaDLjYEhqt0xoEq9UOVSsWM4IScUMOhHHuV8Sln8M3SGFCO+IzGyESwlPRxx7EQOOgsn4QJ25ZjNGO5MsHH6kzk7lZcPM8FoyAlTROyLEV4BqsgpSR77N6p0Hi2PSkmymy9MlFBKWWKjUIqYc6UgmwvrMkITZCTFUV0XjgQy/GfFAYWmyQplnQeE7qfOQCzLCumBAl5nhoWXVG8ZrnprpbUefOa5T1fFF1XIzQvCytZFFUmgjYjCAJc14Rwq0I3laY5lm3MB0pDmcn4ePpJlinSPMTMyQ3PTWtNGAYoZQosIYQJqaZkZ5XieOicBpwOwz+uy/z/d31hC6pPP/iEO9cWuHvtFtffeY9knDPojEjCmJanOD28zZvf/Q2yXKOljVNpkqQPWF63GQwrhN0xw9Muoyzlzu4207ML/MzXv8G3vv37UPXYvXdMUBUoG4LhIbVRkyCLaM20wBboow6f/fY99jvH1KfbjLME4XvYvkeYp2hPkqiEucYU85VFtuaWWay22WzPc76R4NuK/ZMO6ThiHCtEpUGvO+TG9VvcvnqTdBxxYXWTo4NDNjZWWF5ZZXNri939PZSSnHROCRyH/Z09Ht7fxqtUeeKpJxkNR9QadV54/nmi0YgsiPjqy1/io7ff5Z//1q9z4cmn2Xz6GZYWFliYX2BqaxPftrh+9ROm2m20KJwStoMQDpVKBXTf3JCEMKJG8fnYAjjrVDmOgwoCPN8ni+OJGNJxXRQK1/LIczVx95Xp9giJxdkN+/ITl9G3ErZ3bpPnOa+88jJhOOB0+xGnoz7XPrtGZfsBm1sbtFpNMhHTaNWJ4xDXtZl2G9iORAhNvV4lHAckYVaI5QVRnDDdbHJ4/z6Hh4dsrawgM8X+3h5BELC4OE+eZRx3OkzNzCKE4JP3r/D8M0+TZPBg75AHu3ssr20ys7rJwdEhrl9FWha1Wp0fvHeFvZ2HTLcapEnEONVsrK3z8ktfIs8y9vb3adTrnN88x/rqKvfv3pRAj/0AACAASURBVGXY79NqtVhfWSWKQoLRmHffeovhOKBZafLBe+/Q657guTbjUUYcjggHPbbWN5AI9vYP6I/G3L11k0honkFx+blnuXn/DmmeU3E9du/c44MPr3KaSZ544mmee/k5HDXGi8YIaSNURrNR53gwotMbIKxZaq6mP45558p7WFnMcyvzvPL8s4RWk+2PH6C0BTlMt1rMTU/jOS69MOXR3hHjInj7T/s6POnzK//d/4EUggubS5xfn+f8xiIXzi2yuTqDY1tYYMJbi536mbPsbDRTdnWlVQa/G0G6QBQ6xjJE3RRKWkmswk1VFnGlrFpPXtdAL3WuCEPTXS61jOicqu8ShiG2FGjHKR6UOUkaFYwowwsyHYsMUIWLzhDey7HQ47DRkoBdjrmkdIqHtykUHNeMs5Q2oyBXuOiiiyQKdhFSFvmkGtvxyFWMVQitS1F+eQ9xHNd054rRqYl6sSeif43p4iGNIEHp0kWpig6axHEMRypJ0qJoTIpishhxFd0eYFKwua6HTpPPdQ21VgipCzelC2iENvmsujhGhUdn0vHXWiAtG8tWSK0LTpQpDGTRclGPYRVKU1B53wWNVBQZq+aY5tLCdT2kNFKNPMuQjjXpNJVFEBgzRZYb04RSmjTJKB4FRZGlJt9LcEZwF8UzwbCuLMqom3LM+PhS2mjcxuPA/JsQk3OFSXFoTc4jE79kon4MgsHCdm0sYUbhcWJAo6ZIzaEYAUthemHSEjzY7/0bX9P/JusLW1DdvbnLB997h9uf7OFZPkuzK8xV62RCMhh0aFdikmCbbr/Hc196mdXNJeL8hErLIow1D+72OD7p0BkMwLI5ebTNzq//Y1IEd37rn6EdwaqrwJOM8oCVtkuQBQw7AVpCOO4TiYzcFygrJc4yqk6NKNPEIUw328T9MRfn1/jyE8+g+2PCvR5/8J0r/N0b32dtY5a1rfMo22X9wkVsr8q7H73JZ5/eJBvF+MJhlGouP/UC589tkWYZb1/5iE63R3c0JAxCjqOIPImZbjc5POzx3AtVarUWw8EYsQKtZpNRnrOyMMsNSxOmIQ9v36DbH/Dss8/w1/76X2f/3l3efev7rK6t0W62OD45Md2kKANpbK5xlmELGy00VhFPUGoh7IKhU+6QDfNj0rZC5TlZnuH5PqpwKimlzFhUneWPWZbJBxsMBuZGoTRJklGr1UFIZmdmidMq55YX2et08OoVWtNtbty6waO9HWbnpxhHAddufMrq6jlarQpZZtAMlWoFTU44SknihJrj4bguUZxQrdVY29ggGIzJowTfcWi355DCYTga4DoVXMejPxiwvrJCs9Hg5p37nA4D5mZmWZib57nnn+d8EJLGEU8/+QSPHt5juj3FVKPOwe4uB3tHrGxuUJ2eYzgccvXqVRzbQWq4c/s2URgRBSFHB4fc+PQ609OzuE6NWtViY2WVg7v3+eZ3voNf9VFoXNdiYW6evF5l5+F9PvjgPWbaUyzMLyKkZLa2wNF4iFCaJI4JBiNu3blLeHjEeqvF1776FYbK5jvvfczTLz1rooIEVHyb6XaD+LMDjo86xIkijDPe/fRd6suX+fKXX+Wl556mmfWpVCrEMVhCEAzHVJVFnhqBbaNaY5Cl3H+wy2gc/MndJP4EltKaW/f3uHV/73Of31iZ5cL6POfX5rmwvsD5tUVqFf/z475CqK3JDV6gCALWaGx5Njo8C5zWUIx80EYI/HhgsODsoVd2xQzNxBRStm2E8mVkjsoznEKHgxBmdJ9nYNsT/VLpjCuDlm3bxvNMQRbH8YSwbT/eURFg21U0BhejtELl5t6i8yLCpHCiIQ0vybIltmV0Rbblmsw3Wxsgbhhg206hp5HFpsx0snJlgnYdx5tAVo2uJzSjNmE2WcY9aT4sKbEdG9uxSGITK5NlWWG/B4TpzqVphuGH5cWm0J4QvaMoxnZsSLNiE1lq5iSu7WBp8z7RoHIwFOGS8aSxHTEBshpXtIntKjtsWZaSKW2oE7LINpQSocvcP1VokSwQ5XkiiveaIsnxPUjTAIHp/AhhTzpKRmunimNWnEtCPXZ+ykLzZd6vKbCMuaJENsgCxjlB6VDyp9RkRGsK4HTyXk13NS8MSDlZgeAowayO72JlZnRnWQW8VgoDkNUpeQ664KrxWLROue48+vGN++ALXFAN+hmX5p/l4/0HrJxbZak2w2jQIyejNuXxM199DiVjcNdZ3tjArbV46YXniJPP6A9z0vMtBllCw3NwKhU6p31GWUqqFX6jRqwzYp3hezXIHAbBiFwqWpUKq3MzNKI2lTjHqlQ4GAeEUx6xY9Mdh7i+jyMsmnOz3Lx5k0/efAcriJmp1plptPjyT/wMUzM+sYZRnPJg/wQlLBLhUZ2apxueEGeCINGk2ubGzfvcunWb/YN9+sMhoyhidWXV7IzSlCTu8d0//AFBGLK0tkyax8zOzNCo17n63hW2FhdwbEDFZKHi5OCA45kZNtdWefVrP4HIc777h2+g6RejIYEqdi+O6xZ6Co8wMrP7x3cnj9t0tVJYtslpMgJTI1RVqEk7PU8yLEuSpga2J4TZ7dm2uQiXlhbp9U7N93acYocFD7d3WFmZJROK6lSd6cVZ5ufnmZ6f5unnn2bvYIcHb7+DV/FxvEM+/uQzPHcKhMZxLLJsTBrnJHEItSpaaXzPJxMO1WqLwThDk1OtNfEcl93dHeIsYWVtjcFgYNxMVZs/eOMNMiV47sWXkY7HyvIyC4sLhEnCwtoaUb9PvVbn4oUL/MG3f59Br8vC3Dytep03336H4XDI0uKi0SFouH/7Hg2/ymefXuf5p56l1Wzw8cefkiuXzvEeb/3gB5zf2uL8uU0sR3L7zh3QNodH+1y6sMXc1Isc7x/w6ME2vW6H/aNjVs+fZ3Z6Gs91aTQaJFHMyckJehyw/NSTSG3RH0S4tk2aJIUmwXCJlEqZatXZdKv0egP29o+ZbreYmZ1mt7fH4XGH9lyNPAdHSiqOgbTWGlPkcR+V53i2gyVyjjunE6Lyn/X1cPeEh7snvPHD65PPLc9PcX5tnp959Rkub63QblUn7thSB2MkaArHticalMdHIo/z4Mr4DiF4zBl4BgDVSiOQky6XoW3nZ69RABY1ZiyZKwNvLOQ+CMGEfF2CMZMkLsJxH+v2WHbRuTpDO0hpo7TAKs45lecIDJOpUvFwXeNQU5Z5sJcuNSkkCGeCdkgTIzJ3HJckMV3yarU6cbaVD/aSuZSXxhUVFyJoiZQm7kaW+ixh4r3SNEZaciKqNoUqCGGOl+HlmcIvLzqNeZLi+T6OYzMKRpBoqlUTqWPGXC7NagOVGaaYLDRUucGcm9Fc0Y0yuAALhTDaKYEpKvVZ5t+kQC5eByFIS7p6YXSYzI1horObnAM6x8TNpAiRFZtbpygMwXEdhAAVGw6V1iVxviDz6zN9Up4rLAmZLOCcOp+MqwvzqtHmKZP/lyv9GBhWFPFZuuhYuugkIc/P3mOlUiETkOsM13MJoxDbtgjTlDROSJIIqwjhFsKcW0KbEWM5Pbn94OhHcj3/q9YXtqBSSnP/2iGr7WkWak3ato3SKdrSzC9N4xFRqXt4zSbtWh3pNZhu1vj3f/HLHB7FXLnxId3xmF6/T5Qk2L5Ht9ulVqky6vbJFMSNHOE7KK+FU59ioeHSEjmLjs+zq+f40gsvUZubp68UD3s9/uDddxjevInj+aDgaH+Pw/s7OHHOTKXGMBwhUCTbY04+2WdueZmZxWUOdrcZjiPCcUwqXRoz86hRwt5Rj/u3d0jGIWEwNh0jIWg12wRBik5ThFI4VY9Wa5Zf/uW/yifXPuLd999hZXmZ/UcPODo6ZGlxHsc2tmitYuLM4cMr73Ky/4i5hQXWV5eZW1jkpAjn3d7dQ2tJqz2HsGzjJHlMnChtMWk3w+dv8BaGyBxn6STUVCInrJckykGbXZhju8UNncnrdDrdidV7fn6e+w9vkiYJx0fHbJ5bBitjdmmeUTRmyXVwPIc0i5mameHFF5+jUa8jpY3relhWlf7wIcKL0G5Et9vh5o3rWJcuc2F9k7A/JteaNEvp9/sszc6htGZnZwfbtoy2afcRSZrQbrfZfbTL2vIy585f5uR0gATmpqfZ39nB9zzE9Azj42Na9QYfvvsOR4eHnNtYR6UJ77z5Fi+88jrVSqWwOSd0ul0qvs/m+jpXP7nK//i//Bq/9AvPs7GxwSsvv8KV964gheTGp9dotxqc29pg69wG1UaVmzducHhwwM7DhyzNLfDEE09wenpKfRwwHo2RGq7e+iH/9+/+HjOL8zx3+Qlmaj41aZMEMXOz00y1moyGYyozVYTI6A/6NOoVXFvSOTnAcmM63TovPL9BY3aeuW5MpdrA8SuMxj0sx6bmeYyGY6pCc7q7y+72DsFwQJoIxmGCZX9hbzE/8rV31GPvqMf33zfw07npJudW59ham2VrbY6tzTnmZ5oAJtsuU5NrrnxglH83QmE5MYyUOpyym5VlilwVXQtddqkALSbXqVWM+8rRo5QC2zGjMMc2FPR+fzAJFA6CoMAmRFSr1ck9QCmKmCQ5EZUbYT14rmcKKmWKLLvIv8tzjcRC2ubBXEw+Udp06EQRuZIk8ZmOR5qNmRDlA95ot2zbwTSOctJUEUdhwSA805Y5jkNJRLcdBykhjpMJTb5arRJFsTl+KkNISa5SLMeeCNxNkZCQJEmhdTLIiDRNsWwz+lcqN8VRbrSl5ndiij2nAJvqQrQtLWXGgo+dI6Y4eSz/UZyNVs3nzNfps/8BpUWRGWmAykoxEWqfvY6Y/NewpoyDNE9Nl1Mqo/WSlguygILyOGjUGCDE4/E4Sp0VdcXK8xRKUbwuO3tl/JDp5Fl2ed6dOcaNIcFk8VmWZQxNQpCkKUkS4zhGfJemqjA1YLIiBUSlkAx+rIJ0+AIXVABHe/tM+ZrlGYf11RbLMxrPy1lenyGXCagMV9rUa1M41XkarUX86jnOb1Y4d/EizYbDm++8xe7xIdLxmGoskI0yxmlMLwhJBzGNZZdQJdy7/5CjimDGtRhUPMQw4PWvfI3D7gkHvSGRsLERuEgsBcPTPmF/gCMFfsVDS02iU2KdIpVN7tfpxhl1y6E2M8eNBx9jCZuaW2HQ7ZL0R8xWGlTaLqO8R+fomNnZWYajAb1Ol5mlNUQusLQgzwUHByegHbbOXeLg8IhLl54kGo8Q2uI3f/M3uXb9U+brDayirer5Hjv3H/Lpxx/zxBOX+fmf/3n+8T/5JrVmi1v3HtLrj9g97IJwjLyy2IHatkOuPh82+Ti5WQBuYR+e3PgKt4jjOEhbQ26An7Zlk+ZnkQmWFLTbLaamptjb3UMJE33hWxjrtNZYwkFqh2gY4VIhTxIabpNcRKSjkMy22dw6T6YlaWoRhZLr17eRwiVNLYIoJIwivveD73Py6ICvvPQycWIe/GmW0Ts+Znlx0WRMqZwwDJidmyNTio21dfqDAa5j8/ab32d2YRnLcjnp9lhb3+Bge4cXXnyeD967wkcffEDVr6ILd0vNr3Bh6xzvvPMO+3v7kzb37Owsv/svfof15WX+9n//N3jjjTe49dlNBqd9BoMBTz31FK+//jq7Ow8Yj4d0ez3qQZ25hXlsIVhYWCCOYh5ub+PYDrV6g5nFJR51Tji3ucUvf/V1fvjB+4z6I+bbDeIoMZlpwkYoRbfTod30ULbEsS2kVDgWbKytY1eh1pjC9TwoRiMPHm6zUDnHlG3SBiTw2Y2b3IhD9m5/wsMHDxmGEr+2QLXaJPb9H+s94Yu8jrsDjrsD3v3k7uRz7WaVrbVZnr64wbmVGTaWpllZmJp0h6HY7RfZaY/nwZWjOWASWP64sw0o4knAKkTMWZaRpRlCaBzXwSm1PMKMiUwnxZpY9PM8p1KpfG6sE8cxeZ4XHWYXy7KIYnAcG993GY/NA1wViADbNgwrWwBIE1UjmDC6khx814jFEWeZiYZ0nqFU2TFn8v0gJ03NxkyTmlGelFgWOK41KcjKzlaaJWhyoqiIJ0OBUEXig6KEbJrmkEboYvyU20SRcUbWW00QiiAYAxLXqRhBOmZ0WHbNSop+s9kkSVKiKEZRAF1VKcY2UFXHtyYdpzMauSreV6G3k6Vj8EzLarRIpuIS5bgYZXSSpRFBQ5bGCNtEC+WF6N92THGuYo3t1E3xrkwH07ahZEs5tk2WqUmRpRGTOKFSJ6hUVkQOlUBXSZnHOHGsagqTg3H+lb/fsgNnjglFbE6G6/hkWYrl+Ng6L2KZimJPmExJtOakN+SoO/xRXa7/0vXFLqj6Hf6z/+R1xuMeXnWPrafazC226HRH3LlzSqv9JOuNn6JhPQ16DkSNfKSw0Mz703zt2ZdYmp7Bn26gXZu3f/gO7791BRLoDwIix8YRGY16lTTNyUjBqxFkig/v7PA//G//Ow93HzG9sEStPYVTqfDsxgX29/dp1BvMWQ5f/2v/Ke+//x5z01P89m/9FkvnlhFSsL9zwvL0LHv9Ideu3cD3fMbjCNu3GY9HeEIz7vdo2x5rc7MsNRtEUcDQ1pzkMcPeAFtIqq5PkMVc//gmP/XVn8WtOLz2tVdpt2e4dPECW1uPePbiOWrY3P70YzSKqYrNYDBComnVapx2e/y9/+vvsXnxIjPz8zz/yqvcuHmH3/v9N9jbO6JWa1D2v6MoJsfkjz0eQWH0UDmuEFRrNTKtyMZjUzSlMXlqbvLVWg0Vmt2RLR3CKEQUAaaVisdg3KVScZHuiJ/+ya9y/dYP6fW6fPzRp/S6pzx1YRMrE9y/dZ+f/YmfYjQakqaxGW3FOWmi0doiTwWCKs3mAktLWxzs32Lcr3Dp8mWWl1c4v3kO+yWNpwQNz6N7cESv32dubo5Op8Npt8flJy7x7DPPsv1oh/5wiFWr0Gq0uP7JJ/zHf+Wv8GjvkKvvX2F5bZ3tO7e48tYPuHfrBrVqleWFBfr9Hv3TUyzLUJTf+N3f5eUvv8pMu83+3j6e75ElCY5jc7C/x5s/+B5PPvkk9Xqd8XjMzOY6UTjmYH+X+/fvsLa+Sr1Rx5JGWDqOY1SaMh6OmG5NYWGjk4zDwxNOB30aXoXRKGRpaZXd7iFqU6JtiYUkSzOaVZ9HO7tYtibq7TPj2MzPzjM/PeTO1R2ouOzs98ifrJDHAbPTUxz3Ag46Y67eu8Od2w+5fveIh/s9ojAhipLHhKgjjrj7r7p0/3z9a67TQcAH17b54Nr2/+fXuY7N+fV5zq3McG51jksbC1zeWn5Mt+Ng285E6JzlSeH4TCdCY8P/MR0Qz/OpViumE40mSdMCzAi5Sokiw4Wq1WoTvlGSGOG347i4rin0VA5JmgACrQRBGOC6Nmma49he8bMbQbksgJBpEqPybDI+SnJFpWIKRc8rMt2ShCAITKfbcYoiMifP5aQzV+bYOY5LtVoz3RDLFAtCe+QpRh9q22SZIEl0gYHQRJHRiqkswLEkaWa6TqX4X2AX4mrD1KMoBrUCz60WTj8j7nYr/qRYjeMYx3WxHZcwijkdDNBaU6lUEdJC5SaY2rIdgiAgiRMc28bzKgZrUYBJS/dmVkA1wYixy+ZQWViW3TDACO5j87uQhVPSq7oIioIm11haICwBWiIsjzwzjCkpBbZvNGlplpLlOUFgunONRh2/YnA7WZYZ7Z02nSppC1zPZTQcMRoHLCwsmWIRgV2EH7uFfso4BuXEXJFjsmKN+M0UgrZlfte25SCkCeCWRYYfaJMOpHNiJL/35rt/XJfhv/b6QhdUjw4lDx8O8PyQhdVpgqDP9eu71BuzzMzO0mhMYRc3FCEl2hLoXKOkoFptsrV+iWqjTWNxBmFJgtGY451dTvaOqFWnuXN4RJaEWNKjPxzgOBb11TX06ZDT4YC5ZYvOOGTO9VmYX6RarxNHCVXb4fqt28SjgL93/z6VapV4dYWtixeoTTV4970rxMLmxq2b1Bp1kJogHFPzKqblqhTReIwvXcgzkmCEa0la1QoVR1BxLe53YuIgRFkWUnrk2kDhoijje999k/2DfTbXl5B5xOLMDPOLK1z/8CPj3tAJ9UoFaVtEqbkowijisxuf8ZTrUmm2eLC9zWm/j+t5JElKHPVwHR/X9clSw3k52yWbXVVeCBtt28FzXUbjIbYwJ1mcKZSQJLmg5ttFoGmxq1CaPA9ptRtI6TAahSRxxtzsAlLYOI6HJR2+/vWfY9B9yEffe5fDo10+/Og93nn7bb7yldd54slLkxaya/sEQQQo5ueWsS2f09Mh7VaF/mlAOp/SbjQZHHfw/BpZnjMOAxbaM4yDgDCKWN9YZ219jSvvv8dgPGJ1fZ2wf8pUa4qtc1t0T054cPcOiwtztJt17j94yMbqKitLi7z7ztucnvZZmJ/F88xDY2llhZW1dfb3HvHZZ58ZW3Rg43nGhWPbNq+99hp5nnPSOWE8Djg6PqLRaNBoNnn9K1/l4GCXbq+H0opKrULF99HSQssRaZ4TxjG249NuT1GfnaMbhRwdHTO1tMind28hHQeVpkRRRJwosiTm0c4Obs3h/MoCF+dnILFZmo+pVY/pjMbcunaff7D3gMP9Mdt7PQ72TgpNxp+vf5tWkmbcuLvHjbtnYnghKATwC2ytLnHp3DKXz63guw4G2VBa3jFiYMv83cAuXaS0kFIwGA0m3WaQBQBU4DjepDv2eJSJ63rYtnU2CsqNOy7LE4QWWNJQySU2vu9hBlZF10WVGh0DG0UIpO0VfCSF1mZMNRwOJ52SssAAJs6/UodjiPFnjrbPIyZKhlU2eQ3b9kwXKE1xXQdlDUji0WPjMZs8N1qoLDMdH3McHYQUhbYsJc9D49ST9gSueha9YpEWHf9KxcBgHdeZ/PzABJeg8pxUn00IVIF7mOTfpSm+7xcOxcI0QBGcXGhVrUnQtI0Qudn8ZsZFWlQ+2LaLlA6loUGpHIXJZ/UrFTPCFRbSkqZoKO79juNA8TvIy/GzY8oKpQ1wNFYp2raxnRq5kkjLxYRSl5028ywpi8BJtqDjoMIE13WI45RKxScYBliWA6KYcni2wWsoC43JfDSGC83d7R8f0LNcX+iC6qDbZ252moXlRWbnLA5P7hEEIfMLTZy0bgIztSiv14kIEHKUsqhUZ1iSLp3xKc35KXzbpd2qM+yccPHiJRpLM9wf9hmRsbgwR6oVoyim7vq89MprbF5awqo1mJuZZW5unl63RxJELM3Nw/nEcFtsm9ZUmyRPcas+/VEfy3OwtUBLjRAaz3NIdUKWRIhUUPFt4qEmjQNSK8cunB6251LxXHx/il7cJ5SQRQlRkiItm4pXQUnA0ty+dZ/7d+/SrNoc7uywOtOm5bhocrI0xbUskswwY7QlcV0Ht1JlZ3uH+zu73L17F2lZVD2Pfm+EJe2Jq0enZ21mpYyMNVM5Kg5pNStYKmKl5ZANIkZxRtX2SRJFJhVpFBFHCa1W43PZWUprLOmQpRlBEHJ4cIIJ53SIo4woysgzaM80+KX/4C/yrW/9HrlK+cbPfR2VK3717/yfHB0f8PTTz/D977/F1tYTbF04x/FJyMnJEZubG4xGMf3TIk8rMyL5NDM37cuXn0CkGUePdmm1WsxMz/DDt37IOAp55vlnOR0MaE9NE4Yh73/4Ia7n8/Qzz3Hc6bL94AHNRgO/4nLlytvkKuP5F56l1+sRJjEL8/M4nsv3vv99hqMxTz71lAkZxQBUPc/j4OCAW3dus7KygmXbOK5DmprA5uOTE770pZeYX1hkem6Ww5NjcpXTH4wYnp5y+cJlPNshj3OOjk/o9Xq0FxaoVes06k3m5xYYj8LCtg3379/jxvXbxE6V6eYsIvO5d6vLD3//E472+zzcOaHT7QNw/Bl8/OO/tP98/TEsreH2w0NuPzwEPpl8fnNlriiy5vjGV56hXjUjFFtb2L49gUomSYJGMx6PaTQahYOXSZcLzkjZZx9gXGMlPwuErZDCIo1So+WSGq0kzXoNISRZlmBbxkUXhCNMdIjpsuTGmmdgnYLHImfyYoRWirULEbs8g0qWDjalSlfaWT6cY7uT0VIYGsK6Jc9casalqAiDofletmWCfW3HdKscy2BkCjRDHMdUqlXa7SlG4xHj0dAEWksbA7E039+yHKRjo/PcZPbZ1qRrVqImtDaaN4NWKPRQhfBaChsTu8LEBFAK2iGbGBPyPCdRKbbtGbNBkfMnpFWMUs3oLilMQr7vgxYkaVI4AE3CheuZ4toQ9jV+xQPMMZs4/2QZ/G0I7+U42EgIZKGpy1GuJM0cXK8KaKJwhNYWSapx7DP2lmVZuJ5PLuwiQNt0TKWw0VoipXF4ohW27eN5NnkWk8QheUFSt22X2w9/vIJ0+IIXVCfDgNXVeeqtHPSYhfklnlt+Aa+xwP1bHbIULNuDSs1wLgodiNKKNI6xhcb1mjSFQCWKYDTmqaeeQKQJjqN58vIWB1c/phcHyHqVYBThCYf52UWE7fH9d97l8PCQuU6XQX/Iwswc83OzWFoTNZuc9np0+6d0T7uM44j+eAiOxcz8PEmW47geQloMhyNUkhYaABvL90gRpHFMIrURdQvIsgTXc5GOxcrCLP3TPuPBmDhKSJKMcJSRC4G2wfLMhXXcGUCaMu52eXJ9FVfl+BWXMBjjuC5ZkqAdG69W4bjToTUzQyYkFy9c5IOPPuG0P6A/GNJuT5NoZfg3ucK3HaIsN9yt0QivUkWSoVSG6xjLs+9XGASnZLnR7YzStNg6mZt0GIZEcUSlUilyq3K0ElQrDSqVGifHp9RrLU5PT6n4ddJUYduSVJkdzNR0m/n5BeIo4Zd/+T/kzt07fHrtU5wgYWrmlG/+2jfJc4/Z2TbHnYfEWQjC7KjSLMNybKSWeL5PXytOuyaUuFUzwcO27fDCC5cYjkeMhkNkrcrho10WFxY5f+Ei+4cH5HmKY0vSOOLe3dtMz8ywYuQJKgAAIABJREFUsbHJ7du3GQyHZoTY6zEej3nmuWdZWl7h5s2bHJ8cY1kWw9GQhYUFVldX2d/fZ29vl/X1DXq9LisrK4B5iLz99g9ptlrMLcyhgcWlZVzX5frVq0hLMhiOyKKEarXGcbdH56TLzZ1tnvM9OuOIo70B/+ybbzDuDHhwe4eDwx6jIPuTvYD/fP2JrAe7xzzYPeYN4O/+0z9kea7NudVZLm4s8sSFFS5tLNCsm85qKQaeQCaLro8BMyaTAuQMlSAKrpKe6HxcxwiHlWU6I2Ae2GX3NgwDVKYKzImDbZswY9d1SXPDGzKiZjUppkw3Q046U2U2YbnK7rnWTIqMx3Vn5Srfkxn1mU6bkIa7FYUBk7y5tJR+ZPi+b6JNSg2RznErPnGaMuX5VApwpRCCatUlTeWkeyeK/D0wm0iVmlGXccQpw6KyLNNlyjJTiBQGAWui+So2s4kZ35VdurLTduYABcPkMsWjKQzN1EMrQEuyPMayHXzfOJ+NHswcX41BMyitJ/mJZUbkeDw60+flilyZ6QSY96GyDNtjUlDlSptJQ6GzMx1RF42DIkc6HpZvk2QRSE1O+buzJ2T3LFG4rs+kI+hKLOkYcXqmiGMD+rQdSRin7Oz/+DL8yvWFLqiyXOM4hpdR8T1SpXi0fYBXyZByCp3ZCOGC5UJuxG04AkvYJgIiNu4LEHgVD89yGScJ6IxbN68ztbKCLTW+tMlQJptICsZRzJ3OfU6iE55+6hmevHgJqRRhf8DB/h7BYMjx4SGj4ZBc5whHkmoYRSHKkkRpyjgI8HwP1/UYjyN8x0dagmAU4mWaXJv0bUeC1sIUaYnESVMs18arCqaaVWbqDYIw5vR0zDhMyIREWZDqjCTNcISDxmZqep6F5VWCzglxmpCFEbVqjU7UQ+cWyhJUPRdb5wiVI23BT375Jf7+P/ptZpdn6Y1CVJri5Yp5x2M0HDEIAqqtNloZ3UQUxpiZuI8Sgna7zTCIiMcJjutjZTlIgWM56Nxc/Hax202SzBSW2jiExqOI+/ceUvHrCFyGg4Dth3u89KU1xuNjGo02YZCglYXn1bHtnCwTnNu6xIVLF0FYOF4VaVe5/+CQT29+hrRTDg4OufppxtOXnmB5dp58HJIpxWg8Zjwe06rW6PV6OI7N2toqp71Tbt29TXt6moPxmNm5OZaXVwjCgIcPHzK3sEC9UaM/GDA7M017eord3R263Q61ep3T01Mc12Vqeop6vc7+/j5hGFKv1yajiePjI27cMAVWvV5nOOwboKElODo65vITl3nltVfZ39/n+KRjYhfkMY7j8MSTT3J8cEx/mPJg+5DeKOZ4ENAdRxydjviNP7r1J3qN/vn6t3/tHZ+yd3zKmx/emXxubrpRaLKmuby1xNOXoV33sCwbzxOFzsVcy48XXGlRIFgFriFXJmvTkqUzzhQuKjdFQa1WYzwakCaGvF6tGYzCeJSQZQkIt4g3kUVuZ1qMyYT5uvH4MdebnnSuys5NnuvioZxPROjARLyfZUYIbd5PXoiiy39LjL4qzyaaUeNK0yRpjOcWcTBYBWpBEicJcZIhbJcwjsizHq7rURY+UppuFiUZHIVUhX5Na/yKa8ZdUhKmyUQaUb63M3SCcfAJIci14f2V79EqulGGl5UVocrmfTuOBxrS3ORKTk1Nm0ITM8yRtoUWAstxsREkaY7MNZa0HxvjqiJYuTLBZ+SFG6/UsyVJAkX3P89BZRLPlWiYgEUr1SoaRZYZs4FSORojLE+yHLCwLA/XMa5AKfNJtJIUFhTOzzBMCaOQJEoMCkPAjTu7P+rL5l+6vtAFFUC75eDVJNLOETm4fosgttnb79Fqz6K0A0lBGC5AZmZWbiNxUVlOxZHEScjDe9sEYYfZ2Vnee+8KmS1pz87wYH+fXNTxPNdcfFqhkpg0V7z34Yfc+uwmTb9Cu1rFBVSaEUUh0hZ0O30SrWjNzOB4HtJ1WZ6dpVavkymF71e4desu0ThCJRm5Fjh+BbdSZ5D0cGQRn4BAKEWsU0Se40ZjatUGjvRwBEy1GlRr0B2OCZKkIMiaoMzDoxNefuZJhsOAOAqpOjbCcxmlMRkKz7LRcUijWiUa9HH9CirLsR2HX/nP/yr/z+99B09KgiQlIyTyXOZmZqg2mwRhDNImTVIsaRMnGbkylOBGo8VUOyFIOmRg8gAtC5Wn2LagWqmjhSBXyuh6IhN1k+UZ+3uHvPPO+/T6XbJU4bpGa7C328WxM6rVNv1BjBAewThCSkmjPsXp3jYq1zRaVZY9n3GU0Gy7+L4Jau10u0Rxjb39Pd787h8x22jztZe/bLILp6dAiAnE8/j4mMPjAxYXl/B8j26vR6Pd5t7DB5yentKemaLVbnFweIhlWbTbTa5f/xSlFBcuXOL/be9MYyxLz/r+e96z3aWqbu3V1V3V3dPT3TP24ME2tvGCjUIEAQI4fHM+BKQYyAdQgpQoYvmChBDKAlEiRUgmIEGU4ESCKCiyE4zBNuBlZrzMdPeMe5veu7prr7rbWd4lH95zb9UMszTu6a6+9vlLpb51l+rn3Pfc9z7nef7P/z8x2eILX/gr3vmudzM5M81ffPazBKI4ceKEV6aOQmZmZsiLgrgWY6zl7t27GBy1Rp1Ot4so4aWXXmJicpo7m11yF3Pj7jo3V15mp5vT7hUP1VqhwncG1jbbrG22+fI39k0cjtc5dfwQpx9b5MTyHE+dPsrjR48MeUmD4k8cxQRhSJ7lFKaL0Zlvp7nA26+IFw3Nsr73flNe78hYjTYBxnjpBK0tBP4rajgJHHglbc9TCofWKcYUpclwYygdEccxaaqHlanBdKKXhbAleXpg7lsMCdwDtXRrc5zVOByq1NXyGnpFWbXxgsQD7maSJEOdJeccUej9Tfdb8CiliJMGRttSBidgoOZu91XR0jRFYDg56Y9/L7katBAHjw+4SGEUeWseARWGfsJwny2MlzoYVOw8gX9g4+P1AGOCwOFltkp1eCfEtRpBmQwaY4ccu8HUnyvM39JJ83pmpcBsKb3g8BWsJGlQbzbRJqfb9bpkJlDgxGufhTHOKZy1FIWfGnTO88KiyBPXo9jz/XQ/p8i9RZv3DlScf/mVwroPCyOfUE3NNJFYyHVO1jXE8RjzrQWiWKHiJeKJGUTFYEOIFAR4kqQrRywJPVHSFRxbOs65b65zaGkRQeju7LJ87Bi1MGRqdpYoz+m0exirqdcTjswdIRRFPQoJcShtEK1JooTdDqyvbXL46DJHlpfRAmmhefH8eRbmF3HA18+cZWZ2jtX1LcQpJpsT1CcbhDl0s7tkxtE3XpskEhAniNfKZayh6Hd3KVSNJG56PRBrmGpNMFdL2O3ukhcdnOkTNwK+/tUv8Z53vI2pRh2nC7KypKrCGGPB6AJnu2XVJCCIauxsbPHYyQWePv0EL3zzAibt0ExicJatjXU6aUZrepYgCjHOkGeaKK4RRZ64HocxrdYku92M7W5GIAqLd6RXygsIelXkgHq9gVIB9UaT7Z0ddna6XLxwGQkcEgRcvHiJnZ1Nfv4XPk6/n4Or02l30CYq5RRCavUJ2u1+KZon3t5CC+PjdaxLSfMu09ECJ0+eZKLeZHZyCt3p86lPf5rIGI7MzNPNurQmJuj2ejjrOPn4SXKj2drZZml5mTurd1ldXeXDH/4wX/rSl5iZnSWKQsbHx7lw6SKNRoO3ve1tPPPcsxw+ssTS8hJZkfOZz3yO44+dYOnIIleuvMzm5iatVovbd1ZI05SpqSnf4lMR292MF85dpZtZOqlmdbPDyuZ3hoVLhUcX2+0+z565wrNnrgzvG2vUePLxI5w6vsixxRlOHlvgHU+eRIkitam3iwm9LyDGEAQJDk8473Q6ZFnKnpCnT6SyzGCsBgmwZcIUJzFhFAyrT8ZYut3uUI5FJBxyel6ZQLkhKXw/iqIovQm9GbsxuqyeqTJRUSRRjbRvcAK6MKioTEyUIpDAW6bgkynHoKqlh+JQUQjigrIlt6cfpQRUpIZaVp12D20MUVLDFDlpX9Nu79IIw1dMLBqzJ1mgVEiSMEww9/hMqhwmCEsBz8H74Y/blImvVyLfE2YeEPWH9jkSQjBoNZYSB45SHNY/L89yothftFvjRUKLLC8Tv0G1z1FadO9JN4iQJJFvHZt8mKhCSYa3ljDyvn6Fzslz30kKgshrTSlFlmUEjRpxLSKqjUNg6XTaCBYVBly8tvIgPwqvizdNqERkGfhDYAFfqPyEc+4/isivAT8LDJSzfsU596nyNb8MfBw/+fjPnXP/7wHEDkBW9BkbayFxRD917HY03TQjri8yNnOYeHwKjJ9ecAiuoNS3AGcsFAqJvN1BvdZgc2Obj3zoA4RBSL+b4gpH2ulh2112ul26/R5LU9PUw4CXb1yhEceYomB58RAL09OMNeqEAnmRUriCKI6YX1zk6y88T2OixfrGFmfOniMMY6bmFigMqLiGM9AvLJH18v5T84tsr2yR5xoxDgJBDa5MrGU16xIG3l4hNTniDEoClC4w/YzJZoxjHGdjkmiS8VqAKM8F0GmKcxG6cFgj6Fz7MWVbXh24kAChESVcOHeOI4cWsdpy9qULpGmKEcfEVIvG+Bi5sQRhgMm9Hkm70wOjadQiwsAboU5NTtIvNslL01Vr/SbV7/e8Qq/4K7U4rrO4eISjR4+zvbPJxsYaSRJhXMHW1ibd3i6/+Zv/jsWFWZaXjtLe7XFseZOjR4/Tbm8DEevr22XP3iKBwjlLo1kniAKKImdnt0cYRcwvLLC+cofJ+hgf/5mf4Yt/8RdcPPMiJ5aO0m+3WZibI1QBhfEGrDMzM77/rxTf8773oqKQiVaLzc1NjDVkec7CwgJT01O0ux2azaafYnGOre0tTp06QbvTxuFIGuPkW30u3N7l5so6a9tdUi3sdnO6af6gPirfkXjU969RR6eX8tyZyzx3Zq+SFUchT5w4wvHDsxxbbvLkqQVOHZ3HaouIF90UUaRZ5k3O6wlh6Ke/lLIUOvMJmCiM9ZWfwZf4gJQ+kC8An78MZFv2J1XWOGpJHR3o0kpFhkT0LMtQQeA9/azBaK+n5dxAgDOmFimc1RTaUDg9rOTEtTrghm1PbbT39CvJ8YUu/L7miiGPa3/SMnCNGFTLfCInhApskaGsY3qsQZFn4DTGlBUs6yeq9xTwPS9K4eUEHHboseovjAcq9T6h8dN9hedrGYcECm01puwKKFFl1SnEhTWUhU571++h9Rq1WoK1XtZC4Vtr1hhsSZgfrIVPAEuzb/z3LoNKHX6vd0BeZEN/xziJCEL/nKIwFHkKCKbQ6Ny3ZXEQBgrnQrTO0Tr0059OlzyrhCjyNkIXr915KOf/q3EvFSoN/Evn3NdEZBz4qoh8pnzsPzjn/v3+J4vI24GPAU8Bh4E/F5HTbiCW8VYjCEjTgsIquqmQ65hWY5LJmSWS8VkwAgNjSsCKG2p1OAGsJ0ljoNGcoN8vOHToCAtzi8wsLHL0xGm+duUaeWFptVqMtyYYG2+gt3ZYOnSI5cNHUFjmZ2cYr9fZ3tpgY32N3V4Hp4RenvHlZ75CmCSlZkmzlAqAO6sbqDCiOTFN1kvpd1OiqIFxQi8vCOIaNu/75yNICIVJyXRKURtH6ZBAF0RiiSQgKi0XVKRwCqIkIE7q1JOARt335Z1AFCekfUunV/gJGO2vpHAQx4IuDFmWE4QRs5NT3L56g+WlZeamZ/ncF/6a5WPHmJga48KlK3T7OY0JT5SsNxqIs9SbY1idezfxIGR6cpJOP6Of7eACYafXpxAv/BcQI0GILjTW9of2Bteu3mDx8BynnzzJNy+cY3Z2higW7q7e5PaNO1y/dhfnhLXVHZyF73rH2/nxH/8RPvnJP0II6fdy6s06tVqTXHt7Gee2MEWAc4qtrS3iWo2J+hi3V27THBtj+egyrYlJttbWmJiY4M7KHW7dusHRx47Tmhpjc3ub6ZkZRITnnnuOp59+mrW1Nba3t71q+FiTl19+2W9oKuHyrQ0uXV8h1QqtYm7d2WSr/QxpXpHBHyIe7f3r2xB5oTlz/hpnzl8b3ifAiaNznH7sEE88tsTJ5UOcOLwApRClKn1DPVcq9UUepXDGDaUIHG7oz+eTCs/d8j5+e/yioQaV1riSxA4OtW8KcPAcX6lR1Os1wKGNoShdHrJSULLf95PBXroBXJ6hhvZaIUqx104T0FYTKYVzulQ53xNSHXChBkKsYRgTx/GwiuYTE0eeZ77d6GSYjA0sWkRUyZnSaO2NpVXkvQwHAwGDvzP4f321zk9fOgaxliKiRvsL0NCPV0ogaOeFPBFFLYkptGY8GiPP/ZQkpRDzwHJs8LsXPxWiMMKwZwNkrbckcvhJvULnSLlmSZIQJ34CXQhxriBN+0NPSa+ELntipHlGLal5f8U8L4WmHUkSU6vXsM5y+VGtUDnnVoCV8nZbRF4CjrzBSz4KfNI5lwFXROQS8D7gS29BvH8L7Z4mKEK6ac5u20/OhbVZkolDUJ+EPMSVPeTylGZY/1QOaoDxVw3LS0f57qffzcT4FB94/4d56ul3cqfdphE3KDQ+Y++1WTWa2STh+97zvTgcN2/e4KWz55ibnaHRSJhbmOf444/R6XQJwojm+AQvnb9AmnvCZL+bMjbfohkL3V6XKDA060JEgCtyDCESRsS1JrZniQJLKI4s7WIDw8TkJL1M+xaa9RuHsRotIVEUELgAKw7jDIVxFIUj6zmCyQkaEw2KLEdUiHZ+SsI6cEb70rcFoy1xHPmrsyxDnOGlc2fJjeXJ0ye5cv06jila4w3SoiDLelgJiaIaOOc1Q5IInBe2qzUbTE5MsNvts93teq+rwvN+sixlvDWJ0Xk5am2JVEizOcbOzi7vfc97OX/xRZQSDh2a59Bii1s3N+jsdghUxMtXriBOePnKJV544eusrm7wzFe+ysTUBEtHl2lNz5KmlvHGNFG4idExW1s9Jpp1ZiYn6W7t0t/eIQhD0tIOZmZmhpU7d1hbXeXtTz1Ft9/l+rVrTExNsbW1xfbONqefeIL1nS7PX7jJbl/Tyba4u7nLrdVtNtsp2rjXPmErPFQ86vvXdwoccPn6Gpevr/Hpz58B4Oiit9h56vFlTh+f58nHF5iZapJnXo4AVceYFBEhzbIhh0gpRbNZH1abvKZROCTHAyVnyZX6SWVLAoam7r7FF/l9znlbGlGOAEFryPI+ednCG3CvtDbESQ1tfYvKc4a8ory1hjhuYK0pk0PnE4by+IettLIVCZCmKbWaIgqjIe/LTxoWGF0MJxj3e/j5IylbqM6SxCEivvI06F4MkhCv7VW27V5RDfMk74HRs4jzSUtpQeOFPyN0kROWLbaiKChyTZblRGFUKsD7pMtohy68F2oUefFYF4CzUkpBWOKoTlJLUCom7Re+qjXkdfn3Ni8ytPYm3Q7t30cJiCLfwhRRGG2w1q/zQKfLDSyVEJyxnD1/9cGezG+AvxOHSkSOA+8CvgJ8CPgFEfkp4Dn8VeAWfrP68r6X3eQ1NjAR+Tng576lqPehX0SIi9CuQX28SWtqmcn5x3DRJDYXRMoPGHbfUK1jeGpGDjGgAsVca54f+7GfQAXwwQ9+P4uHl9h8/nnmp+YJIkc3gn7eB3HoIuPZL/4NG1vb1GsxzbEGU1OTTE1NsLm1yaXLl7l69Sq7nQ47nS5JHNMME+ZEMd9osByFMBmxBmzsdtnqZtjA+ImMMKQ+XqcTK4w47/lUZEN9ovZOl7BR95U36zBlxUvEgPZHZ1xOVjjCEOr1wPsoTQqtyRlubG4z1myCCbE4ekUfow0mz8rXWpJ6gyxPUWmfhcUFkkadF89fYGp2ht32NkiXsdY042M1Ug073QyHd1bvpxlJFKDiCKML+r0u42MNpibH6KY9LBqnfDvOmIK038daIY4T8kxjXb+caDFsbm5Sq8Wsra8zM3uaH/yhj/Di2Yusrq5z6eJl0l5G2i9YWdnh7NlzJPWQz3/+i9SbdQ4dPszswiJRPI41NerxNGlmWV/r8vjxBTrdLs5alo8dY/3GTd8GUJ7LkOc5c3OzBCpgZWOXK7fXuHNmhVurW2zs9tnq5pXA5Yjhrdy/yr/3luxh36m4vrLO9ZV1PvfMS8P7lg5NcfLoLE8cP8Spx45x9NAUh+amhobO3mtvrwozELMcJD6DNmAQBOhy4nDQXlMDzzrn6PU6ZXsKtHZDHk8UKYwRTMHQD2/AY6rVEoIoJAlqvjITlNOCpayBCvz0YxxHKBmIlPrG137trjhOhomdNRYjhjzPywQxHNr27Gls7ck9DCb9BscJpUTEvgqXEoUQllyoPVFRY3zFy//tUpFc9mtZReXU4KDF6EnxxhrGx1sUOveq+6WFkc9ofNJqjQZnUWFEFISYUOGMIQj8kIJSydBCp1avkRXeWNvzq3xy2U/TklCv8cUpT8T3khyB51Q5g9FeHX6gQzbIPI229HSfb5y9+MDO2TfDPSdUIjIG/DHwi865XRH5HeDX8Rcfvw78FvBP7/XvOec+AXyi/Nvf8uX8na2QY0cXaTWmaYzPU5s8QtCYQ3SILiwqVOUbXuqfQNnrK//NNYSKeq2GDjTTs7PsbG3SaEygC0tASCgR3a0NsvGIZr1BLYL+7g6BVWAtWT9FjOX2jZts7zZZa2+ym3bpNxzxWJMlaREbCDJDvttls7fB2u4qshrRmGmhJSDLC9JcY22AoiAQR1iPsPUAnRUEWJIoppenBComLywSlIaSDM5tQQwU5QQLyiCBI4rrOOdQQUyj2aLRnGBycpL13GuObHZTdN7DFBmEAYkEjAnEjTr9IqN9d4XN7V1UGHL56hW+/+//AJ/9v39Go5mShF6uol4L/UisLpgYm9wTsgv9RhNGwmSrSafXZHN3u1yP0mrAaHD+CiTLUrQ1aFNQq0Wsrt5hfHyM9S0HYllaPsSRpUVW767RmqwRqhhdOG7fvku/l3Lr1i122m02NtvcXX2RMLlKozFDozELNgFruXF9m6NLKxyeX0Dh2Njc5NqtNe7uara3vJ/a6mab7V7O+k6PqtY0+nir9y946/awCnu4eWeLm3e2+NwzF4G/AmB+eoKTxxY4fXyRJ04c5tjiFEeioJQxKMjzdKhPNUgq6vU6g6rUnuioxdo9hW8RykRjwHUK8V/wvothjBl+Wb9awBS8kKh1XrHbOej3O8RJjShS2NKeZeBNN8DAy29glAwMPRj941L6J+79X/tlIQatwf0ty1fGNPDNc2UVx190R3GDUFnanW3CwA9PDr30BlQR5WPRTkHg9bZU4I/FWYOxZh9HzL+ecqDAc5v2PF2DwPOttDZk1hBFfsKxyPuAIoxrWOsHAoqi7LIMOHAYcAqcwWoDAUgYM+RhOcfAv1GpAbfO88nyPOfFC3ut5oeNe0qoRCTCb0b/zTn3JwDOubv7Hv9d4P+Uv94Clve9fKm874FgJ28xc/gpkvoUYTyBqDEoEhwxYaIwMCwVDxRiRRy4wFeprANdoBLvb5ZmfYyxaOtLxoEKQTvqUY0widlOt+nlBaItUyZmsROQFRnxXIOdzR22si59VdAu+ugA+r0ejSjm0MwcSRgzFXkz3e99/wdYOnwYdnpcvnGTL3/teTZ21whD77kVYmjNjiFBQLGxg/QLeu1df6WUeB5BlmaIdQRWebNOAW0tWIMVCGKFzjPavZTIaZoTLa7fvE2zOUYUhdgYdFHQtYZ+mqHzPkSKuaTFdr/LxHiTrW6bQ4uLZCJsdDveCy5J+OCH3sGLL36T1sw0SixYi4QB/X5OL+tDEhIZIQp9JQpnaNYTpibH6GcdemmOcd7wktLGQeuCTqdDEIVYY+inmp2dbWq1COc07d0t+ukuYEkahuXjsyRRkydPPcWdlQ0uXLjM3NwMK3dXQRR3Vjfo9TW9Xk57dx1jArS2nPn6BtcunsNpxerdLdbWdh7U6VnhEcCjvH9VeHOsbu6yurnLF7++V3mYnGhw+vgiJ4/O8djSDKeOL3Ds8Oxw6i8IQsZKcdJBsqXLL22t/ZS21n4ARCnl/UR1DuIlX4q+nz5TwZ72EoByvl040Lbq9ftDTlaaerHgwAUosfu4UexLjtjTiwpCbEkN8Dpe/nYcR6Rpd5gkDRKqwe2BntbQjqZMqgbH6qtmhjDcmxAUcVgHQowuFLiIQAKsFMCe8nqeZ6i4gVIhDp/cZabwx4mhFoVIFPmWox/z8oKjUTQ0ks61LQcPfFvOaINgCGNbioAWJPWGT9gGVkC5RZsCxJIkZWKnvd+j1yp0XubCWOJSp0sQHO4V749zjotXD4Y/Bfc25SfA7wEvOed+e9/9iyU/AeAngbPl7T8F/ruI/Dae1HkKeGAuhWttxdjU4yAJ1kYURYhxIQR+HN+KV+v1cgNlq8+V5DmAOMTYHJvlSA2wEAcRNoxRAs2JGoXqkrOD2IRWMyLrO0wk3N7e4XBrAlcbo7E0RyaGbtEnFDgyeYh6PQHnGKs3Of3EE1y+coVeXrBy/Rr/488+RbfdZck1GZ+aZmNzBwPUG14ErsgKMt1HmT5HjsxjOxmdJGZzawddQLfwAqQBCvGKHxjnypNMsM4Ob6dpTpAEjI9Pcu3iNxmPI1bvrHJlq6BfaDY214kVKHFsdHaYmmvR0wWxLpA4wghIGCBhgNaOy9eu8Q//3ruYnIi4sbKOlZy00Bi8c7wrfX7yvEANlIELRxBHnneVjaM3tumlxl9hBIpCGy94R3toXZAXfVbu3GZyquE/qEVGrRaT5R2QlHpD0WnvEISOiVaT973vvWSZ5ZlnzzA2PsXqyi7b2x16vRSjK07xdyIe9f2rwreG7d0ez7xwmWde2JsubNZjTh6d58nHj/DUqaOcPn6EE8vzw8TDlYlDGHq7G98Cc6hgrwJkrSGOYorcYA2oYE/3KQxDPxloLWEYDIUz49h7GuZ5jjZyZdeSAAAKdElEQVSawIQ4U6CLvJRWoORrxSV/qZy8K7+HBknFkFiPb2kNtKL2c8D2KlB7dINB0gQ+4TKlJY1I6deHKiULDPV6QqE1Qy82KMnsPhGt1RpopTAmI896KPGm0kkcU+SpdxoRKeMCcQ5nS2sbcRhr8QSqgCgKqdeCMj5Lt9/HGI0EQTmZ52PysjllG9UWBCogiX11jNK70VcSbdn+tIRDzTCLMwbrPJ9K64KLVw9GgwrurUL1IeCfAGdE5Bvlfb8C/GMReSe+ZH4V+GcAzrlzIvI/gRfxEzY//yAnZC5duYuxY0AEJOUVhUJTan8EspfBOocT6yfaAIvvgxcBXsfICnUDeWoo+horMNEao9AZ9VpMBqSlW/ihhUVupjmXXZfN9S3i9m3e8bYnWDpymEAbjszM8PL5C7x05gytyUm++VfP8T0f/ACN5jjvePxJdvopX3nuGXZNRGu2Tr0xQUqbXBcUNqcRKeKxmDvXbmB2dlgYm6Y1NcHY+ARbnS4mTcn6bbCUlbZ9JVfH8MpKG68+m2vhC1/8Ij/4kQ9x5rlnuXPzFjczyIKIXrfHWD1kcrxGJAGF1V7oMgpIVA3rABXgfJ2Y1Y0tbq7c5buffoJelrLZXiFJhEyXV3dFThEEqNBbDigl3tXeQK0WMj3TIteGXLf9Gg0/2MaTH4uCeqNGrVZjfX2drEiI4pher0un0+PatdvcvbvGi2ev8vKl2/zhf/k8N26ssrW1u+/MOLiyb4VHCo/0/lXhrUO3n/P8+Zs8f/4mnibnJRxOHT/kTaKPznPq2Dynjx+iXo8JghhdtvvAdzLSNKXIvLSAlDYvgxZbFEWl3YzGT5VFJIW3wPH0BkUYBYShop7UyHNFmmZDNXFPSI+o1WqeB2ahXm8QRRH9fp881+XUIaWNj3tFAjWocA30rvYnUQM9Kp98eGL6oDI1mIi0lpKyZHGlTpTXffKnt9ZewVyrwk8iiuBMSqMeogtHURiyXOOMHko3WO1lJ5wZaIkFBMmYt5UpE7UwlFJBvYvDEkUxWdan3/fSCEmtThgFNJp18r5PkFQoBM53FLTNERWgVEBSdmf8jwXxSZTTFqUCrt5cHb4vB4F7mfL7a4ZCA6/Ap97gNb8B/MZ9xHXPuHT5OtbVELzFCiK4AK+T4RzinBfEdAopBcbAm8Q68UR1LSXB0VgCUQRxQiABhbVMT05zZ+UOtcVpJIxKXQ1/Es/PLxAstWjUaty4eJHvevw0YyhWzl8i1BFLts7HfvYXafd6fP4rf0MjdQQRFGu7KGdp2ZikPk4/MxinCJM6DgdGY5yhl3Xo6S6RjVCbmsiG1GtjzM7P47o9Op0AnaUUaeEnVVSAGMEp/PQFliCMAE1rcoqi6PPZv/xLagISBEw0I7phSBLDxFidmdYYLk8JAqFRT7y5pQi2dEkfCHjlmeaFs+eZbh7j/e9/F5vtNp3bW7Qmp7i7uk3aNygccbOBsZZYQlRJ5I/CGmPNGjOzE6SFYmtrp2zD7pWzC609pyzr0EsDbq/cBSVcv9rmJ374Xz+M06rCtwke9f2rwoNFXmjOXbzJuYs3X3H/j//Au3jbySOcOu6TrGajRlHkdDodjLVEKvECnoNkKVCEcYQq+U8D4ngUef8/P3nYICmFj/M8H3K1BqT2gXaU533l4BRJMkiUZChY2aiHwyLA4HVFUQyrWL46ZRmIfIr4hGng8zd43E8culIBHqzV5dSdJ5wP/p6XV/DK9BaFCwxK9iYDiyIvCeQFudFeciEoNQVFY/DyFGEUEkcxmgjnvKp6r9cljkPGJ8aGlTStNUVRkKapHxjQCl1qbYmAqAhrpaw4+cQvCCCMA6JwYGmkMaV9mbXGe8wGwss3Dq7dByAHmc0NgxBZA7rA+kHHch+YpYr/IDHq8cPoH8NrxX/MOTd3EME8TIhIGzh/0HHcB0b93IPRP4Yq/oPF68V/z3vYI5FQAYjIc8659xx0HN8qqvgPFqMeP4z+MYx6/PeDUT/2UY8fRv8YqvgPFm9F/OrNn1KhQoUKFSpUqFDhjVAlVBUqVKhQoUKFCveJRymh+sRBB3CfqOI/WIx6/DD6xzDq8d8PRv3YRz1+GP1jqOI/WNx3/I8Mh6pChQoVKlSoUGFU8ShVqCpUqFChQoUKFUYSVUJVoUKFChUqVKhwnzjwhEpEflhEzovIJRH5pYOO514gIldF5IyIfENEnivvmxaRz4jIxfLfqYOOcz9E5PdFZFVEzu677zVjFo//VK7JCyLy7oOLfBjra8X/ayJyq1yHb4jIj+577JfL+M+LyD84mKj3ICLLIvKXIvKiiJwTkX9R3j8Sa/AG8Y/MGjwoVHvYg0e1fx0sRn3/KmN68HvYfgfth/0DBMBl4AQQA88Dbz/ImO4x7qvA7Kvu+7fAL5W3fwn4Nwcd56vi+wjwbuDsm8UM/CjwabzC9PuBrzyi8f8a8K9e47lvL8+lBHisPMeCA45/EXh3eXscuFDGORJr8Abxj8waPKD3pdrDHk681f51sPGP9P71Jsfwlq3DQVeo3gdccs697JzLgU8CHz3gmL5VfBT4g/L2HwD/6ABj+Vtwzn0B2HzV3a8X80eBP3QeXwYmRWTx4UT62nid+F8PHwU+6ZzLnHNXgEv4c+3A4Jxbcc59rbzdBl4CjjAia/AG8b8eHrk1eECo9rCHgGr/qvav+8XD2MMOOqE6AtzY9/tN3vgAHxU44M9E5Ksi8nPlfQtuz73+DrBwMKH9nfB6MY/SuvxCWVL+/X0tikc6fhE5DrwL7+A6cmvwqvhhBNfgLcSoHue3wx42cp+d18DIfXZGff+CB7eHHXRCNar4Pufcu4EfAX5eRD6y/0Hn64UjpUcxijEDvwM8DrwTWAF+62DDeXOIyBjwx8AvOud29z82CmvwGvGP3BpUAL7N9rBRi7fEyH12Rn3/gge7hx10QnULWN73+1J53yMN59yt8t9V4H/hy4B3ByXN8t/Vg4vwnvF6MY/Eujjn7jrnjHPOAr/LXjn2kYxfRCL8B/m/Oef+pLx7ZNbgteIftTV4ABjJ4/w22cNG5rPzWhi1z86o71/w4Pewg06ongVOichjIhIDHwP+9IBjekOISFNExge3gR8CzuLj/unyaT8N/O+DifDvhNeL+U+BnyonNd4P7Owr6z4yeFVP/ifx6wA+/o+JSCIijwGngGcednz7ISIC/B7wknPut/c9NBJr8Hrxj9IaPCBUe9jBYSQ+O6+HUfrsjPr+BQ9pD7tf5vz9/uCnAS7gGfS/etDx3EO8J/DM/+eBc4OYgRngs8BF4M+B6YOO9VVx/xG+nFnge8Eff72Y8ZMZ/7lckzPAex7R+P9rGd8L5cm/uO/5v1rGfx74kUcg/u/Dl8NfAL5R/vzoqKzBG8Q/MmvwAN+bag978DFX+9fBxj/S+9ebHMNbtg6V9UyFChUqVKhQocJ94qBbfhUqVKhQoUKFCiOPKqGqUKFChQoVKlS4T1QJVYUKFSpUqFChwn2iSqgqVKhQoUKFChXuE1VCVaFChQoVKlSocJ+oEqoKFSpUqFChQoX7RJVQVahQoUKFChUq3Cf+P/SJn4pHG2kfAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(10, 10))\n", + "\n", + "for i in range(4):\n", + " random_angle = np.random.randint(low=0, high=360)\n", + " rotated_image = rotate(all_imgs[i], angle=random_angle)\n", + " ax = fig.add_subplot(2, 2, i+1)\n", + " ax.imshow(rotated_image)\n", + " ax.set_title(f\"Randomly rotated image example {i+1}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.9" + }, + "toc": { + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/k_nearest_neighbour.ipynb b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/k_nearest_neighbour.ipynb new file mode 100644 index 0000000..bf00a63 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/k_nearest_neighbour.ipynb @@ -0,0 +1,318 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## k-nearest-neighbor algorithm in plain Python\n", + "\n", + "The k-nn algorithm is a simple **supervised** machine learning algorithm that can be used both for classification and regression. It's an **instance-based** algorithm. So instead of estimating a model, it stores all training examples in memory and makes predictions using a similarity measure. \n", + "\n", + "Given an input example, the k-nn algorithm retrieves the k most similar instances from memory. Similarity is defined in terms of distance, that is, the training examples with the smallest (euclidean) distance to the input example are considered to be most similar.\n", + "\n", + "The target value of the input example is computed as follows: \n", + " \n", + "Classification: \n", + "a) unweighted: output the most common classification among the k-nearest neighbors \n", + "b) weighted: sum up the weights of the k-nearest neighbors for each classification value, output classification with highest weight \n", + " \n", + "Regression: \n", + "a) unweighted: output the average of the values of the k-nearest neighbors \n", + "b) weighted: for all classification values, sum up classification value$*$weight and divide the result trough the sum of all weights \n", + "\n", + "The weighted k-nn version is a refined version of the algorithm in which the contribution of each neighbor is *weighted* according to its distance to the query point. Below, we implement the basic unweighted version of the k-nn algorithm for the digits dataset from sklearn." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-26T14:32:41.915819Z", + "start_time": "2018-03-26T14:32:41.094749Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.datasets import load_digits\n", + "from sklearn.model_selection import train_test_split\n", + "np.random.seed(123)\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-26T14:33:11.784085Z", + "start_time": "2018-03-26T14:33:10.849626Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "X_train shape: (1347, 64)\n", + "y_train shape: (1347,)\n", + "X_test shape: (450, 64)\n", + "y_test shape: (450,)\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# We will use the digits dataset as an example. It consists of the 1797 images of hand-written digits. Each digit is\n", + "# represented by a 64-dimensional vector of pixel values.\n", + "\n", + "digits = load_digits()\n", + "X, y = digits.data, digits.target\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y)\n", + "print(f'X_train shape: {X_train.shape}')\n", + "print(f'y_train shape: {y_train.shape}')\n", + "print(f'X_test shape: {X_test.shape}')\n", + "print(f'y_test shape: {y_test.shape}')\n", + "\n", + "# Example digits\n", + "fig = plt.figure(figsize=(10,8))\n", + "for i in range(10):\n", + " ax = fig.add_subplot(2, 5, i+1)\n", + " plt.imshow(X[i].reshape((8,8)), cmap='gray')\n", + " \n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## k-nearest-neighbor class" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-26T14:33:23.932644Z", + "start_time": "2018-03-26T14:33:23.803735Z" + } + }, + "outputs": [], + "source": [ + "class kNN():\n", + " def __init__(self):\n", + " pass\n", + "\n", + " def fit(self, X, y):\n", + " self.data = X\n", + " self.targets = y\n", + "\n", + " def euclidean_distance(self, X):\n", + " \"\"\"\n", + " Computes the euclidean distance between the training data and\n", + " a new input example or matrix of input examples X\n", + " \"\"\"\n", + " # input: single data point\n", + " if X.ndim == 1:\n", + " l2 = np.sqrt(np.sum((self.data - X)**2, axis=1))\n", + "\n", + " # input: matrix of data points\n", + " if X.ndim == 2:\n", + " n_samples, _ = X.shape\n", + " l2 = [np.sqrt(np.sum((self.data - X[i])**2, axis=1)) for i in range(n_samples)]\n", + "\n", + " return np.array(l2)\n", + "\n", + " def predict(self, X, k=1):\n", + " \"\"\"\n", + " Predicts the classification for an input example or matrix of input examples X\n", + " \"\"\"\n", + " # step 1: compute distance between input and training data\n", + " dists = self.euclidean_distance(X)\n", + "\n", + " # step 2: find the k nearest neighbors and their classifications\n", + " if X.ndim == 1:\n", + " if k == 1:\n", + " nn = np.argmin(dists)\n", + " return self.targets[nn]\n", + " else:\n", + " knn = np.argsort(dists)[:k]\n", + " y_knn = self.targets[knn]\n", + " max_vote = max(y_knn, key=list(y_knn).count)\n", + " return max_vote\n", + "\n", + " if X.ndim == 2:\n", + " knn = np.argsort(dists)[:, :k]\n", + " y_knn = self.targets[knn]\n", + " if k == 1:\n", + " return y_knn.T\n", + " else:\n", + " n_samples, _ = X.shape\n", + " max_votes = [max(y_knn[i], key=list(y_knn[i]).count) for i in range(n_samples)]\n", + " return max_votes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initializing and training the model" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-26T14:33:34.324040Z", + "start_time": "2018-03-26T14:33:34.282266Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Testing one datapoint, k=1\n", + "Predicted label: 8\n", + "True label: 8\n", + "\n", + "Testing one datapoint, k=5\n", + "Predicted label: 3\n", + "True label: 3\n", + "\n", + "Testing 10 datapoint, k=1\n", + "Predicted labels: [[5 4 5 5 6 6 1 0 8 8]]\n", + "True labels: [5 4 5 5 6 6 1 0 8 8]\n", + "\n", + "Testing 10 datapoint, k=4\n", + "Predicted labels: [5, 4, 5, 5, 6, 6, 1, 0, 8, 8]\n", + "True labels: [5 4 5 5 6 6 1 0 8 8]\n", + "\n" + ] + } + ], + "source": [ + "knn = kNN()\n", + "knn.fit(X_train, y_train)\n", + "\n", + "print(\"Testing one datapoint, k=1\")\n", + "print(f\"Predicted label: {knn.predict(X_test[0], k=1)}\")\n", + "print(f\"True label: {y_test[0]}\")\n", + "print()\n", + "print(\"Testing one datapoint, k=5\")\n", + "print(f\"Predicted label: {knn.predict(X_test[20], k=5)}\")\n", + "print(f\"True label: {y_test[20]}\")\n", + "print()\n", + "print(\"Testing 10 datapoint, k=1\")\n", + "print(f\"Predicted labels: {knn.predict(X_test[5:15], k=1)}\")\n", + "print(f\"True labels: {y_test[5:15]}\")\n", + "print()\n", + "print(\"Testing 10 datapoint, k=4\")\n", + "print(f\"Predicted labels: {knn.predict(X_test[5:15], k=4)}\")\n", + "print(f\"True labels: {y_test[5:15]}\")\n", + "print()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Accuracy on test set" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-26T14:33:36.781872Z", + "start_time": "2018-03-26T14:33:36.495726Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Test accuracy with k = 1: 99.11111111111111\n", + "Test accuracy with k = 5: 98.66666666666667\n" + ] + } + ], + "source": [ + "# Compute accuracy on test set\n", + "y_p_test1 = knn.predict(X_test, k=1)\n", + "test_acc1= np.sum(y_p_test1[0] == y_test)/len(y_p_test1[0]) * 100\n", + "print(f\"Test accuracy with k = 1: {format(test_acc1)}\")\n", + "\n", + "y_p_test5 = knn.predict(X_test, k=5)\n", + "test_acc5= np.sum(y_p_test5 == y_test)/len(y_p_test5) * 100\n", + "print(f\"Test accuracy with k = 5: {format(test_acc5)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.9" + }, + "toc": { + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/kmeans.ipynb b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/kmeans.ipynb new file mode 100644 index 0000000..eeb778b --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/kmeans.ipynb @@ -0,0 +1,296 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plain Python implementation of K-Means\n", + "\n", + "K-Means is a very simple clustering algorithm (clustering belongs to unsupervised learning). Given a fixed number of clusters and an input dataset the algorithm tries to partition the data into clusters such that the clusters have high intra-class similarity and low inter-class similarity. \n", + "\n", + "### Algorithm\n", + "\n", + "1. Initialize the cluster centers, either randomly within the range of the input data or (recommended) with some of the existing training examples\n", + "\n", + "2. Until convergence \n", + "\n", + " 2.1. Assign each datapoint to the closest cluster. The distance between a point and cluster center is measured using the Euclidean distance. \n", + "\n", + " 2.2. Update the current estimates of the cluster centers by setting them to the mean of all instance belonging to that cluster \n", + " \n", + " \n", + "### Objective function\n", + "\n", + "The underlying objective function tries to find cluster centers such that, if the data are partitioned into the corresponding clusters, distances between data points and their closest cluster centers become as small as possible.\n", + "\n", + "Given a set of datapoints ${x_1, ..., x_n}$ and a positive number $k$, find the clusters $C_1, ..., C_k$ that minimize\n", + "\n", + "\\begin{equation}\n", + "J = \\sum_{i=1}^n \\, \\sum_{j=1}^k \\, z_{ij} \\, || x_i - \\mu_j ||_2\n", + "\\end{equation}\n", + "\n", + "where: \n", + "- $z_{ij} \\in \\{0,1\\}$ defines whether of not datapoint $x_i$ belongs to cluster $C_j$\n", + "- $\\mu_j$ denotes the cluster center of cluster $C_j$\n", + "- $|| \\, ||_2$ denotes the Euclidean distance\n", + "\n", + "### Disadvantages of K-Means\n", + "- The number of clusters has to be set in the beginning\n", + "- The results depend on the inital cluster centers\n", + "- It's sensitive to outliers\n", + "- It's not suitable for finding non-convex clusters\n", + "- It's not guaranteed to find a global optimum, so it can get stuck in a local minimum\n", + "- ..." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T13:39:31.237035Z", + "start_time": "2018-03-11T13:39:31.226992Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import random\n", + "from sklearn.datasets import make_blobs\n", + "np.random.seed(123)\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T13:37:28.102812Z", + "start_time": "2018-03-11T13:37:28.098597Z" + } + }, + "source": [ + "## Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T13:39:32.652089Z", + "start_time": "2018-03-11T13:39:32.331596Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape of dataset: (1000, 2)\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X, y = make_blobs(centers=4, n_samples=1000)\n", + "print(f'Shape of dataset: {X.shape}')\n", + "\n", + "fig = plt.figure(figsize=(8,6))\n", + "plt.scatter(X[:,0], X[:,1], c=y)\n", + "plt.title(\"Dataset with 4 clusters\")\n", + "plt.xlabel(\"First feature\")\n", + "plt.ylabel(\"Second feature\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## K-Means class " + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T13:39:37.138439Z", + "start_time": "2018-03-11T13:39:37.007026Z" + } + }, + "outputs": [], + "source": [ + "class KMeans():\n", + " def __init__(self, n_clusters=4):\n", + " self.k = n_clusters\n", + "\n", + " def fit(self, data):\n", + " \"\"\"\n", + " Fits the k-means model to the given dataset\n", + " \"\"\"\n", + " n_samples, _ = data.shape\n", + " # initialize cluster centers\n", + " self.centers = np.array(random.sample(list(data), self.k))\n", + " self.initial_centers = np.copy(self.centers)\n", + "\n", + " # We will keep track of whether the assignment of data points\n", + " # to the clusters has changed. If it stops changing, we are \n", + " # done fitting the model\n", + " old_assigns = None\n", + " n_iters = 0\n", + "\n", + " while True:\n", + " new_assigns = [self.classify(datapoint) for datapoint in data]\n", + "\n", + " if new_assigns == old_assigns:\n", + " print(f\"Training finished after {n_iters} iterations!\")\n", + " return\n", + "\n", + " old_assigns = new_assigns\n", + " n_iters += 1\n", + "\n", + " # recalculate centers\n", + " for id_ in range(self.k):\n", + " points_idx = np.where(np.array(new_assigns) == id_)\n", + " datapoints = data[points_idx]\n", + " self.centers[id_] = datapoints.mean(axis=0)\n", + "\n", + " def l2_distance(self, datapoint):\n", + " dists = np.sqrt(np.sum((self.centers - datapoint)**2, axis=1))\n", + " return dists\n", + "\n", + " def classify(self, datapoint):\n", + " \"\"\"\n", + " Given a datapoint, compute the cluster closest to the\n", + " datapoint. Return the cluster ID of that cluster.\n", + " \"\"\"\n", + " dists = self.l2_distance(datapoint)\n", + " return np.argmin(dists)\n", + "\n", + " def plot_clusters(self, data):\n", + " plt.figure(figsize=(12,10))\n", + " plt.title(\"Initial centers in black, final centers in red\")\n", + " plt.scatter(data[:, 0], data[:, 1], marker='.', c=y)\n", + " plt.scatter(self.centers[:, 0], self.centers[:,1], c='r')\n", + " plt.scatter(self.initial_centers[:, 0], self.initial_centers[:,1], c='k')\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initializing and fitting the model" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T13:39:38.433011Z", + "start_time": "2018-03-11T13:39:38.324276Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Training finished after 4 iterations!\n" + ] + } + ], + "source": [ + "kmeans = KMeans(n_clusters=4)\n", + "kmeans.fit(X)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot initial and final cluster centers" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T13:39:41.649052Z", + "start_time": "2018-03-11T13:39:41.218985Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "kmeans.plot_clusters(X)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.9" + }, + "toc": { + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/linear_regression.ipynb b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/linear_regression.ipynb new file mode 100644 index 0000000..6edae27 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/linear_regression.ipynb @@ -0,0 +1,517 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Linear Regression in plain Python\n", + "\n", + "In linear regression we want to model the relationship between a **scalar dependent variable** $y$ and one or more **independent (predictor) variables** $\\boldsymbol{x}$.\n", + "\n", + "**Given:** \n", + "- Dataset $D = \\{(\\pmb{x}^{(1)}, y^{(1)}), ..., (\\pmb{x}^{(m)}, y^{(m)})\\}$\n", + "- With $\\pmb{x}^{(i)}$ being a $d-$dimensional vector $\\pmb{x}^{(i)} = (x^{(i)}_1, ..., x^{(i)}_d)$ and\n", + "- $y^{(i)}$ being a scalar target variable\n", + "\n", + "**Assumptions:**\n", + "- We assume that dataset was produced by some unknown function $f$ which maps features $\\pmb{x}$ to labels $y$\n", + "- We further assume that the labels $y^{(i)}$ are *noisy*\n", + "- In other words: the labels have been produced by adding some noise $\\epsilon$ to the true function value: $y^{(i)} = f(\\pmb{x}^{(i)}) + \\epsilon$\n", + "\n", + "**Model:** \n", + "The linear regression model can be interpreted as a very **simple neural network:**\n", + "- It has a real-valued weight vector $\\pmb{w}= (w_{1}, ..., w_{d})$\n", + "- It has a real-valued bias $b$\n", + "- It uses the identity function as its activation function\n", + "- Note: in most books the parameter vector $\\pmb{w}$ is denoted in a more general form, namely as $\\pmb{\\theta}$\n", + "\n", + "\"Drawing\"\n", + "\n", + "**Approach:** \n", + "Our goal is to learn the underlying function $f$ such that we can predict function values at new input locations. In linear regression, we model $f$ using a *linear combination* of the input features:\n", + "\n", + "$$\n", + "\\begin{split}\n", + "y^{(i)} &= b + w_1 x_1^{(i)} + w_2 x_2^{(i)} + ... + w_d x_d^{(i)} \\\\\n", + "&= \\sum_{j=1}^{d} b + w_j x_j^{(i)} \\\\\n", + "&= \\pmb{w}^T \\pmb{x}^{(i)} + b\n", + "\\end{split}\n", + "$$" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Training\n", + "A linear regression is typically trained using the (mean) squared error (MSE) as a loss function. This computes a [least squares](https://en.wikipedia.org/wiki/Least_squares) solution. The mean squared error minimizes the sum of squared residuals (= difference between true label $y$ and the model prediction $\\hat{y}$):\n", + "\n", + "$J(\\boldsymbol{w},b) = \\frac{1}{m} \\sum_{i=1}^m \\Big(\\hat{y}^{(i)} - y^{(i)} \\Big)^2$\n", + "\n", + "\n", + "Why do we use the squared error as a loss function? In short, using the MSE corresponds to computing a maximum likelihood solution to our problem. For a more detailed explanation [look here](https://datascience.stackexchange.com/questions/10188/why-do-cost-functions-use-the-square-error).\n", + "\n", + "With the MSE at hand a linear regression model can be trained using either \n", + "a) gradient descent or \n", + "b) the normal equation (closed-form solution): $\\boldsymbol{w} = (\\boldsymbol{X}^T \\boldsymbol{X})^{-1} \\boldsymbol{X}^T \\boldsymbol{y}$ \n", + "\n", + "where $\\boldsymbol{X}$ is a matrix of shape $(m, n_{features})$ that holds all training examples. \n", + "The normal equation requires computing the inverse of $\\boldsymbol{X}^T \\boldsymbol{X}$. The computational complexity of this operation lies between $O(n_{features}^{2.4}$) and $O(n_{features}^3$) (depending on the implementation).\n", + "Therefore, if the number of features in the training set is large, the normal equation will get very slow. \n", + "\n", + "\n", + "* * *\n", + "The training procedure of a linear regression model has different steps. In the beginning (step 0) the model parameters are initialized. The other steps (see below) are repeated for a specified number of training iterations or until the parameters have converged.\n", + "\n", + "**Step 0: ** \n", + "\n", + "Initialize the weight vector and bias with zeros (or small random values)\n", + "\n", + "**OR**\n", + "\n", + "Compute the parameters directly using the normal equation\n", + "* * *\n", + "\n", + "**Step 1: ** (Only needed when training with gradient descent)\n", + "\n", + "Compute a linear combination of the input features and weights. This can be done in one step for all training examples, using vectorization and broadcasting:\n", + "$\\boldsymbol{\\hat{y}} = \\boldsymbol{X} \\cdot \\boldsymbol{w} + b $\n", + "\n", + "where $\\boldsymbol{X}$ is a matrix of shape $(m, n_{features})$ that holds all training examples, and $\\cdot$ denotes the dot product.\n", + "* * *\n", + "\n", + "**Step 2: ** (Only needed when training with gradient descent)\n", + "\n", + "Compute the cost (mean squared error) over the training set:\n", + "\n", + "$J(\\boldsymbol{w},b) = \\frac{1}{m} \\sum_{i=1}^m \\Big(\\hat{y}^{(i)} - y^{(i)} \\Big)^2$\n", + "* * *\n", + "\n", + "**Step 3: ** (Only needed when training with gradient descent)\n", + "\n", + "Compute the partial derivatives of the cost function with respect to each parameter:\n", + "\n", + "$ \\frac{\\partial J}{\\partial w_j} = \\frac{2}{m}\\sum_{i=1}^m \\Big( \\hat{y}^{(i)} - y^{(i)} \\Big) x^{(i)}_j$\n", + "\n", + "$ \\frac{\\partial J}{\\partial b} = \\frac{2}{m}\\sum_{i=1}^m \\Big( \\hat{y}^{(i)} - y^{(i)} \\Big)$\n", + "\n", + "\n", + "The gradient containing all partial derivatives can then be computed as follows: \n", + "\n", + "$\\nabla_{\\boldsymbol{w}} J = \\frac{2}{m} \\boldsymbol{X}^T \\cdot \\big(\\boldsymbol{\\hat{y}} - \\boldsymbol{y} \\big)$\n", + "\n", + "$\\nabla_{\\boldsymbol{b}} J = \\frac{2}{m} \\big(\\boldsymbol{\\hat{y}} - \\boldsymbol{y} \\big)$\n", + "* * *\n", + "\n", + "**Step 4: ** (Only needed when training with gradient descent)\n", + "\n", + "Update the weight vector and bias:\n", + "\n", + "$\\boldsymbol{w} = \\boldsymbol{w} - \\eta \\, \\nabla_w J$ \n", + "\n", + "$b = b - \\eta \\, \\nabla_b J$ \n", + "\n", + "\n", + "where $\\eta$ is the learning rate." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-26T14:37:04.956748Z", + "start_time": "2018-03-26T14:37:04.391421Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "np.random.seed(123)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-26T14:37:06.048159Z", + "start_time": "2018-03-26T14:37:05.749381Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# We will use a simple training set\n", + "X = 2 * np.random.rand(500, 1)\n", + "y = 5 + 3 * X + np.random.randn(500, 1)\n", + "\n", + "fig = plt.figure(figsize=(8,6))\n", + "plt.scatter(X, y)\n", + "plt.title(\"Dataset\")\n", + "plt.xlabel(\"First feature\")\n", + "plt.ylabel(\"Second feature\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-26T14:37:06.920607Z", + "start_time": "2018-03-26T14:37:06.906905Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape X_train: (375, 1)\n", + "Shape y_train: (375, 1)\n", + "Shape X_test: (125, 1)\n", + "Shape y_test: (125, 1)\n" + ] + } + ], + "source": [ + "# Split the data into a training and test set\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y)\n", + "\n", + "print(f'Shape X_train: {X_train.shape}')\n", + "print(f'Shape y_train: {y_train.shape}')\n", + "print(f'Shape X_test: {X_test.shape}')\n", + "print(f'Shape y_test: {y_test.shape}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Linear regression class" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-26T14:37:08.615318Z", + "start_time": "2018-03-26T14:37:08.519693Z" + } + }, + "outputs": [], + "source": [ + "class LinearRegression:\n", + " \n", + " def __init__(self):\n", + " pass\n", + "\n", + " def train_gradient_descent(self, X, y, learning_rate=0.01, n_iters=100):\n", + " \"\"\"\n", + " Trains a linear regression model using gradient descent\n", + " \"\"\"\n", + " # Step 0: Initialize the parameters\n", + " n_samples, n_features = X.shape\n", + " self.weights = np.zeros(shape=(n_features,1))\n", + " self.bias = 0\n", + " costs = []\n", + "\n", + " for i in range(n_iters):\n", + " # Step 1: Compute a linear combination of the input features and weights\n", + " y_predict = np.dot(X, self.weights) + self.bias\n", + "\n", + " # Step 2: Compute cost over training set\n", + " cost = (1 / n_samples) * np.sum((y_predict - y)**2)\n", + " costs.append(cost)\n", + "\n", + " if i % 100 == 0:\n", + " print(f\"Cost at iteration {i}: {cost}\")\n", + "\n", + " # Step 3: Compute the gradients\n", + " dJ_dw = (2 / n_samples) * np.dot(X.T, (y_predict - y))\n", + " dJ_db = (2 / n_samples) * np.sum((y_predict - y)) \n", + " \n", + " # Step 4: Update the parameters\n", + " self.weights = self.weights - learning_rate * dJ_dw\n", + " self.bias = self.bias - learning_rate * dJ_db\n", + "\n", + " return self.weights, self.bias, costs\n", + "\n", + " def train_normal_equation(self, X, y):\n", + " \"\"\"\n", + " Trains a linear regression model using the normal equation\n", + " \"\"\"\n", + " self.weights = np.dot(np.dot(np.linalg.inv(np.dot(X.T, X)), X.T), y)\n", + " self.bias = 0\n", + " \n", + " return self.weights, self.bias\n", + "\n", + " def predict(self, X):\n", + " return np.dot(X, self.weights) + self.bias" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Training with gradient descent" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-26T14:37:25.473465Z", + "start_time": "2018-03-26T14:37:25.201638Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cost at iteration 0: 66.45256981003433\n", + "Cost at iteration 100: 2.2084346146095934\n", + "Cost at iteration 200: 1.2797812854182806\n", + "Cost at iteration 300: 1.2042189195356685\n", + "Cost at iteration 400: 1.1564867816573\n", + "Cost at iteration 500: 1.121391041394467\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "regressor = LinearRegression()\n", + "w_trained, b_trained, costs = regressor.train_gradient_descent(X_train, y_train, learning_rate=0.005, n_iters=600)\n", + "\n", + "fig = plt.figure(figsize=(8,6))\n", + "plt.plot(np.arange(600), costs)\n", + "plt.title(\"Development of cost during training\")\n", + "plt.xlabel(\"Number of iterations\")\n", + "plt.ylabel(\"Cost\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Testing (gradient descent model)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-26T14:37:27.326617Z", + "start_time": "2018-03-26T14:37:27.312972Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Error on training set: 1.0955\n", + "Error on test set: 1.0\n" + ] + } + ], + "source": [ + "n_samples, _ = X_train.shape\n", + "n_samples_test, _ = X_test.shape\n", + "\n", + "y_p_train = regressor.predict(X_train)\n", + "y_p_test = regressor.predict(X_test)\n", + "\n", + "error_train = (1 / n_samples) * np.sum((y_p_train - y_train) ** 2)\n", + "error_test = (1 / n_samples_test) * np.sum((y_p_test - y_test) ** 2)\n", + "\n", + "print(f\"Error on training set: {np.round(error_train, 4)}\")\n", + "print(f\"Error on test set: {np.round(error_test)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-10T12:46:26.518968Z", + "start_time": "2018-03-10T12:46:26.516036Z" + } + }, + "source": [ + "## Training with normal equation" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-26T14:37:30.245175Z", + "start_time": "2018-03-26T14:37:30.236084Z" + } + }, + "outputs": [], + "source": [ + "# To compute the parameters using the normal equation, we add a bias value of 1 to each input example\n", + "X_b_train = np.c_[np.ones((n_samples)), X_train]\n", + "X_b_test = np.c_[np.ones((n_samples_test)), X_test]\n", + "\n", + "reg_normal = LinearRegression()\n", + "w_trained = reg_normal.train_normal_equation(X_b_train, y_train)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Testing (normal equation model)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-26T14:37:32.088447Z", + "start_time": "2018-03-26T14:37:32.077406Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Error on training set: 1.0228\n", + "Error on test set: 1.0432\n" + ] + } + ], + "source": [ + "y_p_train = reg_normal.predict(X_b_train)\n", + "y_p_test = reg_normal.predict(X_b_test)\n", + "\n", + "error_train = (1 / n_samples) * np.sum((y_p_train - y_train) ** 2)\n", + "error_test = (1 / n_samples_test) * np.sum((y_p_test - y_test) ** 2)\n", + "\n", + "print(f\"Error on training set: {np.round(error_train, 4)}\")\n", + "print(f\"Error on test set: {np.round(error_test, 4)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Visualize test predictions" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-26T14:38:03.737624Z", + "start_time": "2018-03-26T14:38:03.447771Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the test predictions\n", + "\n", + "fig = plt.figure(figsize=(8,6))\n", + "plt.title(\"Dataset in blue, predictions for test set in orange\")\n", + "plt.scatter(X_train, y_train)\n", + "plt.scatter(X_test, y_p_test)\n", + "plt.xlabel(\"First feature\")\n", + "plt.ylabel(\"Second feature\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + }, + "toc": { + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/logistic_regression.ipynb b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/logistic_regression.ipynb new file mode 100644 index 0000000..18744d6 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/logistic_regression.ipynb @@ -0,0 +1,363 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Logistic Regression in plain Python" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In logistic regression, we are trying to model the outcome of a **binary variable** given a **linear combination of input features**. For example, we could try to predict the outcome of an election (win/lose) using information about how much money a candidate spent campaigning, how much time she/he spent campaigning, etc.\n", + "\n", + "### Model \n", + "\n", + "Logistic regression works as follows.\n", + "\n", + "**Given:** \n", + "- dataset $\\{(\\boldsymbol{x}^{(1)}, y^{(1)}), ..., (\\boldsymbol{x}^{(m)}, y^{(m)})\\}$\n", + "- with $\\boldsymbol{x}^{(i)}$ being a $d-$dimensional vector $\\boldsymbol{x}^{(i)} = (x^{(i)}_1, ..., x^{(i)}_d)$\n", + "- $y^{(i)}$ being a binary target variable, $y^{(i)} \\in \\{0,1\\}$\n", + "\n", + "The logistic regression model can be interpreted as a very **simple neural network:**\n", + "- it has a real-valued weight vector $\\boldsymbol{w}= (w^{(1)}, ..., w^{(d)})$\n", + "- it has a real-valued bias $b$\n", + "- it uses a sigmoid function as its activation function\n", + "\n", + "![title](figures/logistic_regression.jpg)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Training\n", + "\n", + "Different to [linear regression](linear_regression.ipynb), logistic regression has no closed form solution. But the cost function is convex, so we can train the model using gradient descent. In fact, **gradient descent** (or any other optimization algorithm) is guaranteed to find the global minimum (if the learning rate is small enough and enough training iterations are used). \n", + "\n", + "Training a logistic regression model has different steps. In the beginning (step 0) the parameters are initialized. The other steps are repeated for a specified number of training iterations or until convergence of the parameters.\n", + "\n", + "* * * \n", + "**Step 0: ** Initialize the weight vector and bias with zeros (or small random values).\n", + "* * *\n", + "\n", + "**Step 1: ** Compute a linear combination of the input features and weights. This can be done in one step for all training examples, using vectorization and broadcasting:\n", + "$\\boldsymbol{a} = \\boldsymbol{X} \\cdot \\boldsymbol{w} + b $\n", + "\n", + "where $\\boldsymbol{X}$ is a matrix of shape $(n_{samples}, n_{features})$ that holds all training examples, and $\\cdot$ denotes the dot product.\n", + "* * *\n", + "\n", + "**Step 2: ** Apply the sigmoid activation function, which returns values between 0 and 1:\n", + "\n", + "$\\boldsymbol{\\hat{y}} = \\sigma(\\boldsymbol{a}) = \\frac{1}{1 + \\exp(-\\boldsymbol{a})}$\n", + "* * *\n", + "\n", + "** Step 3: ** Compute the cost over the whole training set. We want to model the probability of the target values being 0 or 1. So during training we want to adapt our parameters such that our model outputs high values for examples with a positive label (true label being 1) and small values for examples with a negative label (true label being 0). This is reflected in the cost function:\n", + "\n", + "$J(\\boldsymbol{w},b) = - \\frac{1}{m} \\sum_{i=1}^m \\Big[ y^{(i)} \\log(\\hat{y}^{(i)}) + (1 - y^{(i)}) \\log(1 - \\hat{y}^{(i)}) \\Big]$\n", + "* * *\n", + "\n", + "** Step 4: ** Compute the gradient of the cost function with respect to the weight vector and bias. A detailed explanation of this derivation can be found [here](https://stats.stackexchange.com/questions/278771/how-is-the-cost-function-from-logistic-regression-derivated).\n", + "\n", + "The general formula is given by:\n", + "\n", + "$ \\frac{\\partial J}{\\partial w_j} = \\frac{1}{m}\\sum_{i=1}^m\\left[\\hat{y}^{(i)}-y^{(i)}\\right]\\,x_j^{(i)}$\n", + "\n", + "For the bias, the inputs $x_j^{(i)}$ will be given 1.\n", + "* * *\n", + "\n", + "** Step 5: ** Update the weights and bias\n", + "\n", + "$\\boldsymbol{w} = \\boldsymbol{w} - \\eta \\, \\nabla_w J$ \n", + "\n", + "$b = b - \\eta \\, \\nabla_b J$\n", + "\n", + "where $\\eta$ is the learning rate." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T13:52:33.101260Z", + "start_time": "2018-03-11T13:52:33.093590Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.datasets import make_blobs\n", + "import matplotlib.pyplot as plt\n", + "np.random.seed(123)\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T13:52:34.810918Z", + "start_time": "2018-03-11T13:52:34.493190Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# We will perform logistic regression using a simple toy dataset of two classes\n", + "X, y_true = make_blobs(n_samples= 1000, centers=2)\n", + "\n", + "fig = plt.figure(figsize=(8,6))\n", + "plt.scatter(X[:,0], X[:,1], c=y_true)\n", + "plt.title(\"Dataset\")\n", + "plt.xlabel(\"First feature\")\n", + "plt.ylabel(\"Second feature\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T13:52:35.271152Z", + "start_time": "2018-03-11T13:52:35.258996Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape X_train: (750, 2)\n", + "Shape y_train: (750, 1)\n", + "Shape X_test: (250, 2)\n", + "Shape y_test: (250, 1)\n" + ] + } + ], + "source": [ + "# Reshape targets to get column vector with shape (n_samples, 1)\n", + "y_true = y_true[:, np.newaxis]\n", + "# Split the data into a training and test set\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y_true)\n", + "\n", + "print(f'Shape X_train: {X_train.shape}')\n", + "print(f'Shape y_train: {y_train.shape}')\n", + "print(f'Shape X_test: {X_test.shape}')\n", + "print(f'Shape y_test: {y_test.shape}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Logistic regression class" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T13:52:36.892670Z", + "start_time": "2018-03-11T13:52:36.796510Z" + } + }, + "outputs": [], + "source": [ + "class LogisticRegression:\n", + " \n", + " def __init__(self):\n", + " pass\n", + "\n", + " def sigmoid(self, a):\n", + " return 1 / (1 + np.exp(-a))\n", + "\n", + " def train(self, X, y_true, n_iters, learning_rate):\n", + " \"\"\"\n", + " Trains the logistic regression model on given data X and targets y\n", + " \"\"\"\n", + " # Step 0: Initialize the parameters\n", + " n_samples, n_features = X.shape\n", + " self.weights = np.zeros((n_features, 1))\n", + " self.bias = 0\n", + " costs = []\n", + " \n", + " for i in range(n_iters):\n", + " # Step 1 and 2: Compute a linear combination of the input features and weights, \n", + " # apply the sigmoid activation function\n", + " y_predict = self.sigmoid(np.dot(X, self.weights) + self.bias)\n", + " \n", + " # Step 3: Compute the cost over the whole training set.\n", + " cost = (- 1 / n_samples) * np.sum(y_true * np.log(y_predict) + (1 - y_true) * (np.log(1 - y_predict)))\n", + "\n", + " # Step 4: Compute the gradients\n", + " dw = (1 / n_samples) * np.dot(X.T, (y_predict - y_true))\n", + " db = (1 / n_samples) * np.sum(y_predict - y_true)\n", + "\n", + " # Step 5: Update the parameters\n", + " self.weights = self.weights - learning_rate * dw\n", + " self.bias = self.bias - learning_rate * db\n", + "\n", + " costs.append(cost)\n", + " if i % 100 == 0:\n", + " print(f\"Cost after iteration {i}: {cost}\")\n", + "\n", + " return self.weights, self.bias, costs\n", + "\n", + " def predict(self, X):\n", + " \"\"\"\n", + " Predicts binary labels for a set of examples X.\n", + " \"\"\"\n", + " y_predict = self.sigmoid(np.dot(X, self.weights) + self.bias)\n", + " y_predict_labels = [1 if elem > 0.5 else 0 for elem in y_predict]\n", + "\n", + " return np.array(y_predict_labels)[:, np.newaxis]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initializing and training the model" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T13:53:08.008432Z", + "start_time": "2018-03-11T13:53:07.714396Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cost after iteration 0: 0.6931471805599453\n", + "Cost after iteration 100: 0.046514002935609956\n", + "Cost after iteration 200: 0.02405337743999163\n", + "Cost after iteration 300: 0.016354408151412207\n", + "Cost after iteration 400: 0.012445770521974634\n", + "Cost after iteration 500: 0.010073981792906512\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "regressor = LogisticRegression()\n", + "w_trained, b_trained, costs = regressor.train(X_train, y_train, n_iters=600, learning_rate=0.009)\n", + "\n", + "fig = plt.figure(figsize=(8,6))\n", + "plt.plot(np.arange(600), costs)\n", + "plt.title(\"Development of cost over training\")\n", + "plt.xlabel(\"Number of iterations\")\n", + "plt.ylabel(\"Cost\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Testing the model" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T13:53:48.726560Z", + "start_time": "2018-03-11T13:53:48.714892Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "train accuracy: 100.0%\n", + "test accuracy: 100.0%\n" + ] + } + ], + "source": [ + "y_p_train = regressor.predict(X_train)\n", + "y_p_test = regressor.predict(X_test)\n", + "\n", + "print(f\"train accuracy: {100 - np.mean(np.abs(y_p_train - y_train)) * 100}%\")\n", + "print(f\"test accuracy: {100 - np.mean(np.abs(y_p_test - y_test))}%\")" + ] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.9" + }, + "toc": { + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/perceptron.ipynb b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/perceptron.ipynb new file mode 100644 index 0000000..043bdd0 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/perceptron.ipynb @@ -0,0 +1,366 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Perceptron algorithm in plain Python\n", + "\n", + "The perceptron is a simple supervised machine learning algorithm and one of the earliest **neural network** architectures. It was introduced by Rosenblatt in the late 1950s. A perceptron represents a **binary linear classifier** that maps a set of training examples (of $d$ dimensional input vectors) onto binary output values using a $d-1$ dimensional hyperplane.\n", + "\n", + "The perceptron as follows.\n", + "\n", + "**Given:** \n", + "- dataset $\\{(\\boldsymbol{x}^{(1)}, y^{(1)}), ..., (\\boldsymbol{x}^{(m)}, y^{(m)})\\}$\n", + "- with $\\boldsymbol{x}^{(i)}$ being a $d-$dimensional vector $\\boldsymbol{x}^i = (x^{(i)}_1, ..., x^{(i)}_d)$\n", + "- $y^{(i)}$ being a binary target variable, $y^{(i)} \\in \\{0,1\\}$\n", + "\n", + "The perceptron is a very simple neural network:\n", + "- it has a real-valued weight vector $\\boldsymbol{w}= (w^{(1)}, ..., w^{(d)})$\n", + "- it has a real-valued bias $b$\n", + "- it uses the Heaviside step function as its activation function\n", + "\n", + "* * *\n", + "A perceptron is trained using **gradient descent**. The training algorithm has different steps. In the beginning (step 0) the model parameters are initialized. The other steps (see below) are repeated for a specified number of training iterations or until the parameters have converged.\n", + "\n", + "**Step 0: ** Initialize the weight vector and bias with zeros (or small random values).\n", + "* * *\n", + "\n", + "**Step 1: ** Compute a linear combination of the input features and weights. This can be done in one step for all training examples, using vectorization and broadcasting:\n", + "$\\boldsymbol{a} = \\boldsymbol{X} \\cdot \\boldsymbol{w} + b$\n", + "\n", + "where $\\boldsymbol{X}$ is a matrix of shape $(n_{samples}, n_{features})$ that holds all training examples, and $\\cdot$ denotes the dot product.\n", + "* * *\n", + "\n", + "**Step 2: ** Apply the Heaviside function, which returns binary values:\n", + "\n", + "$\\hat{y}^{(i)} = 1 \\, if \\, a^{(i)} \\geq 0, \\, else \\, 0$\n", + "* * *\n", + "\n", + "** Step 3: ** Compute the weight updates using the perceptron learning rule\n", + "\n", + "\\begin{equation}\n", + "\\Delta \\boldsymbol{w} = \\eta \\, \\boldsymbol{X}^T \\cdot \\big(\\boldsymbol{\\hat{y}} - \\boldsymbol{y} \\big)\n", + "\\end{equation}\n", + "$$ \\Delta b = \\eta \\, \\big(\\boldsymbol{\\hat{y}} - \\boldsymbol{y} \\big) $$\n", + "\n", + "where $\\eta$ is the learning rate.\n", + "* * *\n", + "\n", + "** Step 4: ** Update the weights and bias\n", + "\n", + "\\begin{equation}\n", + "\\boldsymbol{w} = \\boldsymbol{w} + \\Delta \\boldsymbol{w}\n", + "\\end{equation}\n", + "\n", + "$$\n", + "b = b + \\Delta b\n", + "$$" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:19:10.378213Z", + "start_time": "2018-03-11T14:19:09.797615Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.datasets import make_blobs\n", + "from sklearn.model_selection import train_test_split\n", + "np.random.seed(123)\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:19:11.134727Z", + "start_time": "2018-03-11T14:19:10.768744Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X, y = make_blobs(n_samples=1000, centers=2)\n", + "fig = plt.figure(figsize=(8,6))\n", + "plt.scatter(X[:,0], X[:,1], c=y)\n", + "plt.title(\"Dataset\")\n", + "plt.xlabel(\"First feature\")\n", + "plt.ylabel(\"Second feature\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:19:15.540354Z", + "start_time": "2018-03-11T14:19:15.521985Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape X_train: (750, 2)\n", + "Shape y_train: (750, 1))\n", + "Shape X_test: (250, 2)\n", + "Shape y_test: (250, 1)\n" + ] + } + ], + "source": [ + "y_true = y[:, np.newaxis]\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y_true)\n", + "print(f'Shape X_train: {X_train.shape}')\n", + "print(f'Shape y_train: {y_train.shape})')\n", + "print(f'Shape X_test: {X_test.shape}')\n", + "print(f'Shape y_test: {y_test.shape}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Perceptron model class" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:20:42.352899Z", + "start_time": "2018-03-11T14:20:42.297906Z" + } + }, + "outputs": [], + "source": [ + "class Perceptron():\n", + "\n", + " def __init__(self):\n", + " pass\n", + "\n", + " def train(self, X, y, learning_rate=0.05, n_iters=100):\n", + " n_samples, n_features = X.shape\n", + "\n", + " # Step 0: Initialize the parameters\n", + " self.weights = np.zeros((n_features,1))\n", + " self.bias = 0\n", + "\n", + " for i in range(n_iters):\n", + " # Step 1: Compute the activation\n", + " a = np.dot(X, self.weights) + self.bias\n", + "\n", + " # Step 2: Compute the output\n", + " y_predict = self.step_function(a)\n", + "\n", + " # Step 3: Compute weight updates\n", + " delta_w = learning_rate * np.dot(X.T, (y - y_predict))\n", + " delta_b = learning_rate * np.sum(y - y_predict)\n", + "\n", + " # Step 4: Update the parameters\n", + " self.weights += delta_w\n", + " self.bias += delta_b\n", + "\n", + " return self.weights, self.bias\n", + "\n", + " def step_function(self, x):\n", + " return np.array([1 if elem >= 0 else 0 for elem in x])[:, np.newaxis]\n", + "\n", + " def predict(self, X):\n", + " a = np.dot(X, self.weights) + self.bias\n", + " return self.step_function(a)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-09T14:34:26.829303Z", + "start_time": "2018-03-09T14:34:26.824652Z" + } + }, + "source": [ + "## Initialization and training the model" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:20:44.931917Z", + "start_time": "2018-03-11T14:20:44.435152Z" + } + }, + "outputs": [], + "source": [ + "p = Perceptron()\n", + "w_trained, b_trained = p.train(X_train, y_train,learning_rate=0.05, n_iters=500)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Testing" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:21:17.074704Z", + "start_time": "2018-03-11T14:21:17.064633Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "training accuracy: 100.0%\n", + "test accuracy: 100.0%\n" + ] + } + ], + "source": [ + "y_p_train = p.predict(X_train)\n", + "y_p_test = p.predict(X_test)\n", + "\n", + "print(f\"training accuracy: {100 - np.mean(np.abs(y_p_train - y_train)) * 100}%\")\n", + "print(f\"test accuracy: {100 - np.mean(np.abs(y_p_test - y_test)) * 100}%\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-09T14:35:14.630757Z", + "start_time": "2018-03-09T14:35:14.626460Z" + } + }, + "source": [ + "## Visualize decision boundary" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:21:45.003755Z", + "start_time": "2018-03-11T14:21:44.975880Z" + } + }, + "outputs": [], + "source": [ + "def plot_hyperplane(X, y, weights, bias):\n", + " \"\"\"\n", + " Plots the dataset and the estimated decision hyperplane\n", + " \"\"\"\n", + " slope = - weights[0]/weights[1]\n", + " intercept = - bias/weights[1]\n", + " x_hyperplane = np.linspace(-10,10,10)\n", + " y_hyperplane = slope * x_hyperplane + intercept\n", + " fig = plt.figure(figsize=(8,6))\n", + " plt.scatter(X[:,0], X[:,1], c=y)\n", + " plt.plot(x_hyperplane, y_hyperplane, '-')\n", + " plt.title(\"Dataset and fitted decision hyperplane\")\n", + " plt.xlabel(\"First feature\")\n", + " plt.ylabel(\"Second feature\")\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:21:45.957357Z", + "start_time": "2018-03-11T14:21:45.585392Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAf0AAAGDCAYAAAAh5Mk5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4wLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvFvnyVgAAIABJREFUeJzs3Xd4VHXWwPHvmZYeSmgKAgqKhS6KiL3XVbGBumtb276KutbVXXvbXXtZXXctawFExV6x9wIEkKYggjSpgfRkynn/uBeYhJlkEpLclPN5njzM3HqmMOfeXxVVxRhjjDGtn8/rAIwxxhjTNCzpG2OMMW2EJX1jjDGmjbCkb4wxxrQRlvSNMcaYNsKSvjHGGNNGWNI3ppkRkd4ioiISSLK+n4jki0iRiIwVkcdE5G9exZNg+6dF5LatPOfpIvJ+Cts1ymsXkZtE5LmGPm5Dq+tnY4x9UYxnRGQR0BWIAFFgDvAM8LiqxlLYvzfwCxBU1Ugjxtkk56mDq4FPVHVI9RUicgDwnKr2iFt2E9BXVc9osgi3kqo+DzyfwnYXNkE4xrQadqdvvHasquYAvYC7gGuAJ7wNqdnrBcz2OgjTuMRhv9GmQdkXyjQLqrpBVV8HTgXOFJH+ACJytFuUXSgiS9y71o0+c/9dLyLFIjJCRPqIyEcislZE1ojI8yLSfuMOInKNiCxzi8Z/FJGD3eU+EblWRH52950oIh2Tnad6/CKyp4h8LSLrRWSFiDwsIqG49SoiF4rIfBEpEJFHRETcdX4RuduNdyFwdLL3SUQ+Ag4EHnZj2WljcbqIZAHvANu664pF5DTgOuBU9/kM9zjtROQJN9Zl7v7+usbjbj9ERKa57+kLQHq19ceIyHT3vflKRAbGrdtORCaJyGr3fX/YXX6WiHzhPhYRuU9EVonIBhGZGff9qFKVICLnicgCEVknIq+LyLapfAZJhETkGfd1zRaRYe5xrhKRl6u9xodE5H738ScicqeIfOfG+1rcdwkR2ct9H9aLyAxxSmeI2/d2EfkSKAV2qO141eI4W0TmujEvFJEL4tYdICJLReQK971cISJnx61Pcz/3X0VkpThVJxk1vD+mJVJV+7M/T/6ARcAhCZb/ClzkPj4AGIBzgToQWAkc767rDSgQiNu3L3AokAZ0xknY97vr+gFLgG3j9u/jPr4M+Abo4e77b2B8svMkiHl3YC+cKrPewFzgsrj1CrwJtAd6AquBI9x1FwLzgO2AjsDHNZ0P+AT4Y9zzp4Hb4t6vpdW2vwmnyD9+2avua8wCugDfARfUNR4gBCwGLgeCwElAOC6eocAqYDjgB850P/c09/kM4D43jnRgH3e/s4Av3MeHA1Pd906AXYBtErz2g4A17jnTgIeAz1L5DBK8rpuAcuAoN847gW/cddsAJUB793nAfY27x30+y4D+7ut6eeP7D3QH1rrH9eF8V9cCneP2/RXYzT1usJbj9Y7/bHAu0Pq479P+OBcOQ+O+GxHgFve4R7nrO7jr7wdedz/zHOAN4E6vfyfsr2H/PA/A/truH8mT/jfA9Un2uR+4z31c5QcvyfbHA/nu477uj/MhOPXz8dvNBQ6Oe74NTvIKpHKeBOe9DHgl7rniJjT3+UTgWvfxR8CFcesOq+l8bGXSx2lHUQFkxC0bA3xc13iA/YDlgMQt+younkeBW6vt86ObkEbgJN5Exz2LzUn/IOAnnIsqX7Xt4l/7E8A/4tZlu59h79o+gwTnvwn4IO75rkBZ3PN3gPPcx8cAc6p9PndV27cS5+LhGuDZaud6Dzgzbt9bEnzeyY7Xu5bvyqvApXHfjTKqXiSvct9XwbmQ6RO3bgTwS13+T9tf8/+z4n3THHUH1gGIyHAR+dgt/t2AcxfaKdmOItJFRCa4RdaFwHMbt1fVBTjJ+CZglbvdxuLfXsArbpHrepyLgChOgqyVW8z+poj85p73jgRx/hb3uBQnKQFsi1MCsdHiVM65FXrh3OmtiHu9/8a5469rPNsCy9TNEgm27wVcsfE87rm2c/fbDlistTSOVNWPgIeBR4CVIvK4iOQmiWVx3H7FOHfR3eO2SfYZJFJ923TZ3Er+f8DGhpFnAM9W27f6+xfE+T70Ak6u9n7sg3ORmWjf2o5XhYgcKSLfuNUb63Hu5uO3W1vt/d74HnQGMoGpcXG96y43rYglfdOsiMgeOD/SX7iLxuEUOW6nqu2Ax3DuSsC5w6nuTnf5QFXNxflB3lRvq6rjVHUfnB9fBf7urloCHKmq7eP+0lV1WZLzVPcoTpH4ju55r4s/by1W4CTAjXqmuF8iiWKtvmwJzp1+p7jXmququ9UjnhVA92p14/HbLwFur/a+ZqrqeHddT0mhu5mqPqiqu+MUe+8EXJVgs+U4nysA4rRxyMMpGm9orwID3bYFx7BlT4Pq718Yp+phCc6dfvz7kaWqd8Vtn+gzTHa8TUQkDafo/26gq6q2B94mte/hGpxSgN3i4mqnqjVdFJkWyJK+aRZEJFdEjgEm4BRF/+CuygHWqWq5iOwJnBa322ogBuwQtywHKMZpdNeduOQgTv/2g9wfx3KcH7mou/ox4HYR6eVu21lEjqvhPNXlAIVAsYjsDFxUh5c/ERgrIj1EpANwbR32rW4lkCci7aot6y1uS3BVXQG8D9zjvu8+cRpA7l+PeL7GqSceKyIBERkF7Bm3/j/AhW6JjYhIljiNM3Nw2hGsAO5yl6eLyMjqJxCRPdz9gzhF0OVs/tzijQPOFpHB7md8B/Ctqi6q8R2rB1UtB15yz/mdqv5abZMzRGRXEcnEqUN/SVWjOCVPx4rI4eI0mEx3G9j1oGbJjhcvhNOWYTUQEZEjcapmUnk9MZzP6j4R6QIgIt1F5PBU9jcthyV947U3RKQI5w7oeuBe4Oy49X8CbnG3uQEnIQGgqqXA7cCXbpHkXsDNOA25NgBvAZPijpWG0y1wDU7RbRecO3KAB3BKFN53z/UNTuOzZOep7kqcC5IinB/PF+rwHvwHp153BjCtWsx1oqrzgPHAQjfWbYEX3dVrRWSa+/gPOEliDlCAk8A2FjGnHI+qVgKjcOrgC3B6X0yKWz8FOA+neL4AWOBui5u0jsVpa/ErsNTdv7pcN6YCnKLttTh3s9Vj+RD4G87d7gqcBm2jk8XeAP6H08i0etE+7rKncb5n6cBYN8YlwHE437vVON/7q6j9tzjh8eKpapG7fCLOe3Uaznc6VdfgfD7fuFVUH+A0fjWtiFStijPGGJMKEemJU6XTTVUL45Z/glNa9d8GOk+DHs+0bXanb4wxdeRWlfwZmBCf8I1p7mwYXmOMqQO3geBKnKqGIzwOx5g6seJ9Y4wxpo2w4n1jjDGmjWiSpC8iT7pjPc+KW9ZRRCaLMw72ZLdrUKJ9z3S3mS8iZzZFvMYYY0xr1CTF+yKyH07f6WdUdeNEGf/A6X99l4hcizP+8zXV9usITAGG4QxYMRVnfOuCms7XqVMn7d27d8O/EGOMMaYZmjp16hpVrXUExSZpyKeqn4kzJ3m843DGgganv+snOP1E4x0OTFbVjUOyTsZpODO+pvP17t2bKVOmbFXMxhhjTEshIikN3+1lnX5Xd2SwjSOEdUmwTXeqjjm9lKrjaBtjjDEmRc29IV+iMaMT1keIyPkiMkVEpqxevbqRwzLGGGNaHi+T/koR2QbA/XdVgm2WUnWiiR44k2psQVUfV9Vhqjqsc2ebGMoYY4ypzsuk/zqwsTX+mcBrCbZ5DzhMRDq4rfsPc5cZY4wxpo6aqsveeJzZuPqJyFIRORdn4pNDRWQ+cKj7HBEZJiL/BXAb8N0KfO/+3bKxUZ8xxhhj6qZVjsg3bNgwtdb7xhhj2goRmaqqw2rbrrk35DPGGGNMA7Gkb4wxxrQRlvSNMcaYNsKSvjHGGNNGWNI3xhhj2ghL+sYYY0wTen/2bxRXRDw5tyV9Y4wxpgmUVUb5y6SZnP/sVJ74/BdPYmiSWfaMMcaYtmzeb4VcMi6fBauL+dMBffjTgX08icOSvjHGGNNIVJXnvv2V296cQ25GkGfPGc4+O3byLB5L+sYYY0wjWF9ayTUvz+S92SvZf6fO3HPKIDplp3kakyV9Y4wxpoF9v2gdl47PZ3VxBdcftQvn7rM9Pl+i2eKbliV9Y4wxpoFEY8ojHy/g/g9+YruOmbx80d4M7NHe67A2saRvjDHGNIDfNpRz2Qv5fLNwHccP3pZbj+9PTnrQ67CqsKRvjDHGbKUP567kyhdnUBGJcffJgzhxaHdEvC/Or86SvjHGGFNPFZEod749j6e/WsRu2+by4Jgh9Omc7XVYSVnSN8YYY+rh59XFXDIunzkrCjl7ZG+uPXJn0gJ+r8OqkSV9Y4wxpg5UlZemLuXG12eTFvDxxJnDOHiXrl6HlRJL+sYYY0yKisrD/PXVWbw2fTl77dCR+08dQrd26V6HlTJL+sYYY0wKZi5dzyXj81myrpQrDt2JPx3YF38z6HtfF5b0jTHGmBrEYsoTX/zCP96bR+fsNF64YAR79O7odVj1YknfGGOMSWJNcQVXTJzBpz+t5vDduvL3EwfSPjPkdVj1ZknfGGOMSeCL+Wu4fOJ0NpSFue34/pw+vGez7HtfF5b0jTHGmDjhaIx7J//EY5/+TN/O2Tx77p7s3C3X67AahCV9Y4wxxrVkXSljJ+ST/+t6xuzZkxuO2ZWMUPPue18XlvSNMcYY4M2Zy/nLyz+AwCOnDeXogdt4HVKDs6RvjDGmTSurjHLzG7OZ8P0ShvRsz4Ojh7Bdx0yvw2oUlvSNMca0WfN+K+Ticfn8vLqYPx3Qh8sP3Ymg3+d1WI3Gkr4xxpg2R1V57pvF3PrWXNplBHnu3OGM7NvJ67AanSV9Y4wxbcr60kqueXkm781eyQH9OnP3yYPolJ3mdVhNwpK+McaYNuO7X9Zx2YR8VhdX8Nejd+Gckdvja2FD6W4NS/rGGGNavWhMefijBTzw4U/07JjJyxftzcAe7b0Oq8lZ0jfGGNOqrdhQxmUTpvPtL+s4YUh3bj2+P9lpbTP9efaqRaQf8ELcoh2AG1T1/rhtDgBeA35xF01S1VuaLEhjjDEt2uQ5K7nqpRlURmLcc/IgTty9h9checqzpK+qPwKDAUTEDywDXkmw6eeqekxTxmaMMaZlKw9HueudeTz91SJ22zaXh8YMYYfO2V6H5bnmUr5xMPCzqi72OhBjjDEt28+ri7lkXD5zVhRyzsjtuebIfqQFWs9QulujuST90cD4JOtGiMgMYDlwparObrqwjDHGtBSqyktTl3Lj67NJD/p54sxhHLxLV6/DalY8T/oiEgJ+B/wlweppQC9VLRaRo4BXgR2THOd84HyAnj17NlK0xhhjmqOi8jB/fXUWr01fzogd8rh/9GC65qZ7HVaz0xzGGjwSmKaqK6uvUNVCVS12H78NBEUk4ZBJqvq4qg5T1WGdO3du3IiNMcY0GzOWrOfoB7/gzZkruPKwnXjuj8Mt4Sfh+Z0+MIYkRfsi0g1YqaoqInviXKSsbcrgjDHGNE+xmPLfLxbyj3d/pGtuOi+cvxfDenf0OqxmzdOkLyKZwKHABXHLLgRQ1ceAk4CLRCQClAGjVVW9iNUYY0zzsbqogitenMFnP63myP7duGvUQNplBr0Oq9nzNOmraimQV23ZY3GPHwYebuq4jDHGNF+fz1/N5S/MoKg8zG3H9+f04T0RaTtD6W6N5lC8b4wxxtQqHI1xz/s/8dinP7Njl2ye/+Nw+nXL8TqsFsWSvjHGmGZvybpSLhmfz/Ql6xmzZ09uOGZXMkLW976uLOkbY4xp1t6YsZzrJv0AAo+cNpSjB27jdUgtliV9Y4wxzVJpZYSbX5/DC1OWMLRnex4YPYTtOmZ6HVaLZknfGGNMszN3RSEXj5vGwjUl/N+BfbjskJ0I+pvD0DItmyV9Y4wxzYaq8uw3i7ntrbm0zwjy3LnDGdk34Zhsph4s6RtjjGkW1pdWcvVLM3l/zkoO7NeZu08eRF52mtdhtSqW9I0xxnjuu1/WcemEfNYUV/DXo3fhnJHb4/NZ3/uGZknfGGOMZ6Ix5aGP5vPgh/Pp2TGTSReNZECPdl6H1WpZ0jfGGOOJFRvKuHTCdL77ZR2jhnTnluP7k51maakx2btrjDGmyU2es5KrXppBZSTGPScP4sTde3gdUptgSd8YY0yTKQ9HufPtufzv68Xstm0uD40Zwg6ds70Oq82wpG+MMaZJLFhVzCXj85m7opBzRm7PNUf2Iy1gQ+k2JUv6xhhjGpWq8uLUpdz42mwyQn6ePGsYB+3c1euw2iRL+sYYYxpNYXmYv74yi9dnLGfEDnncP3owXXPTvQ6rzbKkb4wxplFMX7KeS8ZPY/n6cq48bCcuOqAvfut77ylL+sYYYxpULKY8/vlC7n7vR7rmpjPxgr3YvVdHr8MyWNI3xhjTgFYXVfDnidP5fP4ajuzfjbtGDaRdZtDrsIzLkr4xxpgG8dlPq/nzxBkUlYe5/YT+nLZnT0SsOL85saRvjDFmq1RGYtwz+Uf+/elCduqazfN/HE6/bjleh2USsKRvjDGm3n5dW8olE/KZsWQ9pw3vyd+O3pWMkPW9b64s6RtjjKmX12cs5/pJPyAC/zp9KEcN2MbrkEwtLOkbY4ypk9LKCDe9PpuJU5aye68OPDB6MD06ZHodlkmBJX1jjDEpm7O8kEvGT2PhmhIuPrAvlx2yIwG/z+uwTIos6RtjjKmVqvLM14u5/e25tM8I8vy5w9m7byevwzJ1ZEnfGGNMjQpKKrn65ZlMnrOSA/t15u6TB5GXneZ1WKYeLOkbY4xJ6tuFa7nshemsKa7gr0fvwrn7bG9971swS/rGGGO2EInGeOijBTz00Xx6dsxk0kUjGdCjnddhma1kSd8YY0wVy9eXcdmE6Xy3aB2jhnTnluP7k51m6aI1sE/RGGPMJu/P/o2rX55JZSTGvacMYtTQHl6HZBqQJX1jjDGUh6Pc8fZcnvl6Mf275/LQmKFs3ynL67BMA7Okb4wxbdyCVUVcPC6feb8Vce4+23P1Ef1IC9hQuq2R50lfRBYBRUAUiKjqsGrrBXgAOAooBc5S1WlNHacxxrQ2qsrEKUu46fU5ZIT8PHXWHhy4cxevwzKNyPOk7zpQVdckWXcksKP7Nxx41P3XGGNMPRWWh7lu0g+8OXMFe/fJ475TB9M1N93rsEwjay5JvybHAc+oqgLfiEh7EdlGVVd4HZgxxrRE+b8WMHZCPsvXl3PV4f24cP8++H3W974taA5JX4H3RUSBf6vq49XWdweWxD1f6i6zpG+MMXUQiyn//mwh97z/I11z05l4wV7s3quj12GZJtQckv5IVV0uIl2AySIyT1U/i1uf6PJTqy8QkfOB8wF69uzZOJEaY0wLtaqonCsmzuDz+Ws4akA37hw1kHYZQa/DMk3M86Svqsvdf1eJyCvAnkB80l8KbBf3vAewPMFxHgceBxg2bNgWFwXGGNNWffrTaq6YOJ2i8gh3nDCAMXtuZ0PptlGezocoIlkikrPxMXAYMKvaZq8DfxDHXsAGq883xpjaVUZi3Pn2XM588js6ZoV445J9OG14T0v4bZjXd/pdgVfcL2AAGKeq74rIhQCq+hjwNk53vQU4XfbO9ihWY4xpMX5dW8ol46cxY+kGTh/ek78dsyvpQet739Z5mvRVdSEwKMHyx+IeK/B/TRmXMca0ZK9NX8b1r8zCJ/Do6UM5csA2Xodkmgmv7/SNMcY0kNLKCDe+NpsXpy5l914deGD0YHp0yPQ6LNOMWNI3xphWYPbyDVwyPp9f1pRw8YF9ueyQHQn4PW22ZZohS/rGGNOCqSr/+2oRd7w9j/aZQZ4/dzh79+3kdVimmbKkb4wxLVRBSSVXvTSTD+au5KCdu/DPkwaSl53mdVimGbOkb4wxLdA3C9dy2YTprC2p4G/H7Mo5I3tbVzxTK0v6xhjTgkSiMR78aAEPfzSfXnlZvHLmSPp3b+d1WKaFsKRvjDEtxPL1ZVw2YTrfLVrHqKHdueW4/mSn2c+4SZ19W4wxpgV4b/ZvXP3STCLRGPedOogThvTwOiTTAlnSN8aYZqw8HOX2t+by7DeLGdC9HQ+OGcL2nbK8Dsu0UJb0jWdUY1D5NYRngK8rpB+B+OzHzJiNFqwq4uJx+cz7rYg/7rM9Vx+xM6GA9b039WdJ33hCtQJddyZE5oGWARlQdCd0fB4J9vM6PGM8papMnLKEm16fQ2bIz1Nn7cGBO3fxOizTCljSN57QkichPAcod5eUgoKuvwzp/I6XoRnjqcLyMNdN+oE3Z65gZN887jtlMF1y070Oy7QSlvSNN8peZXPCjxNdikaXI/5tmzwkY7yW/2sBYyfks3x9OVcd3o8L9++D32d9703DsaRvjDEei8WUf3+2kHve/5GuuelMvGAEu/fq4HVYphWypG+8kXECFP+LLe72/T08u8tXjUHFR2jZa4AgGSdA2gE2yplpVKuKyrli4gw+n7+Gowdswx2jBtAuI+h1WKaVsqRvPCFZZ6MVn1RtyCcBpP39nsSjquiGq6HiA9BSZ1nFp5DxO6TdrZ7EZFq/T39azRUTp1NUHuGOEwYwZs/t7CLTNCpL+iYpVYXyt9DScaAVkHEskjkGka2f0EMkDTqOh8qv3C573SD9cO+67IVnQPlkoCxuYRmUvYZmnoYEd/EmLtMqVUZi3P3+jzz+2UL6dc1h3Hl7sVPXHK/DMm2AJX2TlBZeD2VvsSkRFs1Hy96AvBcQ2fqvjohA2kjnz2Na8TlQkWBNBCq/BEv6poEsXlvC2PH5zFi6gdOH9+Rvx+xKetDvdVimjbCkbxLSyEIoe4OqibAcoj87ReDpR2zd8VUbvBhTVYEwEKzzscWXgxIAKqutCYJkN1CEpq17bfoyrn9lFj6BR08fypEDtvE6JNPG2NBOJrHKKST8emgpWvFFvQ+r4bnE1o5GV+5MbOUgYuuvJxYrq33HWsRKxqOrR6ArB6Kr9yZW+kLdDpB+FEn/O6QfvtXxmbatpCLClS/O4NIJ09m5Ww5vX7qvJXzjCUv6JjFfHkiir0cQfPUbGUyjy9B1YyA8DWcknjIofxFWDSNW9ma9Q42VvgBFd0FsHRCD2FoovINY6SspH0P8XZD2D4BkOnf27p90eATxWdcpU3+zl2/g2Ie/4OVpS7nkoL5MOH8venTI9Dos00ZZ8b5JLG1fIA0oBTRuhR/JPLFeh9SS/4FWLz4HCMOGv6C+zkja8LofuPhBqjbAw3le/ABknpDyYST9QEj7Biq/BQRCwxuk0aJpm1SVp79axJ1vz6NDVpDn/zicvft08jos08ZZ0m+DUqlPFwlBx2fR9RdBbA0gQBBpfzfi716/E4fnAJEkKyvQkkfrlPQ1PA8tvBdiqxNvEPutziGKpEPa/nXez5h4BSWVXPXSDD6Yu4qDd+7CP08eRMeskNdhGWNJv61QrUSL7oayiaBlaHAAknsTEuyfdB8J7gidJkNkPlABgV22rtV+sL9btJ8k8UeXpHwoDc9F144m4VC+G/m3q1N4xjSEr39ey+UvTGddSSU3HLMrZ4/sbX3vTbNhSb+N0PVXQMWnbEqS4ZnoutMh7w0k0DPpfiICwZ227twag8rvwd8dCJI46fsgOLSW40QhMhvwoYX347wWTbJ1OpJz1daEbUydRKIxHvxwPg99vIDeeVlMOnNv+ndv53VYxlRhSb8N0OhyqPiELfqhaxgteQppd2PjnTuyFC34A8QK3PwcBkJs0TVOMpDs/0t+nMrv0fVjQd1Er2UkTfj+3kjONUj6wQ3yGoypzfL1ZVw6IZ/vFxVw4tAe3HLcbmSl2c+raX7sW9kWRH4BCTmj6lVdAZE5jXpqXf8niC4HYtXWBJxlkgOhPSH7crRyKlpwrtOGILCrk7hDg9FYAVpw3qbhcWuWhnR63ambN6YJvDvrN655eSaRaIz7Tx3M8UPq2ebFmCZgSb8tCPRJ0mo+6NSzNxKN/AqRRWyZ8GFTEb+kIe0fQkuegJKH3Tt4IDwVXfcHyBsHldNBEx2junTIOLFBE77GSiC2AnzdEJ8N0mM2Kw9Huf2tuTz7zWIGdG/HQ2OG0LuTR8NIG5MiS/ptgPi7oemHQPmHVGn4JkEk8+zGO7GWgfiTV7sDaDEang4l/9qc8DepQIvuh8DO1NhgjyDgg4xRSO51mw8dK0XLXoGKj5xSAn8vCOzgjKMf2huR5EOfqsacho+lz4IEQCNo5ilIznU17mfahgWrirh4XD7zfivivH2356rDdyYUsGFPTPNnSb+NkHb/QP0PQul4JwEGhyC5f0UCPRrvpIG+OPX3JTVs5IPoKhKXBqjTzS+6oubzSBp0/gSfL3fznpVT0HV/xBlnwBWe6h41A/x50HEc4u/mLIuuQEuehvAPENgFJANKnwcqNleLlL6ISjskZ2zN8ZhWS1V54fsl3PTGbLJCAZ46ew8O7Fe/waqM8YIl/TZCJIjkXAE5VzT6uVSjzrz05R9AcJAzk94WY9pv3DgKaXsnL773dYboolrPKZF5TtsA3O6JBRdSJeFXUQbRFej6K5C859HwfHTdqW5yD0N4Ool7GJRD6f/Akn6bVFge5i+TfuCtmSsY2TeP+04ZTJdcaztiWhZL+qZBqUbRdee4d9VJEn08Xy6i5WhgR7dRYXzy90H0V2ou2gc0gjN4kKvyexKXHMSLQng6GluPFt0GWsLmeohkAwgBWkSs9GUk/XCr429Dpv1awNjx+azYUM7VR/Tjwv364PNZ33vT8nhWCSUi24nIxyIyV0Rmi8ilCbY5QEQ2iMh09+8GL2I1qdOyVyH8DSklfIDYGnTNkRD5iS0TdQynaqCmRgEA5WggfurbcIrRCmgYKqemcI44hbeiq/dFK6ekvo9pkWIx5V+fLODkx74G4MULR/CnA/pawjctlpd3+hHgClWdJiI5wFQRmayq1fuQfa6qx3gQX5ulWoGWvwvhmU7r/rTj8PlSvD4sfow6JVCCoMV13CeBDTdAh3vR2AY0sjxB98QEpB3i74xKVpLeDcmUOkMFFPwJuny1daMUmmZrVVE5f35hBl8sWMPRA7bhjlEDaJcR9DqqLuGeAAAgAElEQVQsY7aKZ79WqroCWOE+LhKRuUB3oHE7jpsaaWQRunaUm4g3uoFY3sv4UhmZL7ayDmfz45QIbGXCB6h4m9jqHyE6n5QLsHy5xMLLwNcBogXVVqZB2kFABCo+J3EVQxjC+RDaY6tCN83PJz+u4oqJMyipjHDnqAGM3mM7G0rXtArN4hZFRHoDQ4BvE6weISIzgOXAlao6uwlDa3O04E/VEj5ABawdRcy/HWgRpO2LZF+6qeV7Fb4ciNVSB79JdGvDjRNzE777eHNAOBcVCS4sor/C2gMTHy44EGn/d0TSia07Fyo/T7CROA0RTatRGYnxz/fm8Z/Pf6Ff1xwmnLYXO3bN8TosYxpMrbdE4jhjY326iPQUkT0bKgARyQZeBi5T1cJqq6cBvVR1EPAQ8GoNxzlfRKaIyJTVq5PMumZqpNE1EF2YZG0lRH+G2CooexVdcxwaW7flZpln0EyuJV0xIFkL6xrq/sMz0bLXAJCME0CSzH8eqnm+ANNyLFpTwkmPfcV/Pv+F3+/Vi9cuHmkJ37Q6qZSD/gsYAYxxnxcBjzTEyUUkiJPwn1fVSdXXq2qhqnPbqapvA0ERSTghtao+rqrDVHVY586dGyK8BqXhWcQ23ERs/VVo+WSnW1uzk8qodwBR0BK05Nkt1kjWuW7XuXSc4vvmMGBJqiUP8Sqg8AZikeWQfiSERjh99wFn7IF0pP29zhTEpsV7NX8Zxzz0BYvWlPDYGbtz6/H9SQ/aIEym9Unllmy4qg4VkXwAVS2QBvilE6eC7Algrqrem2SbbsBKVVW3dMEHrN3acze1WMn/oOgenPrrGFo+2akH7vBYsxrdTfxdUF8n526+VpVQ+d2Wx5AQ2v5JKH0Syl50utNJe4j+0PABp6y+bQYU1hwBXb5B2v8LKr9DKz8H6YBkHIP4uzZolKbplVREuOG12bw8bSnDenXggTFD6N4+o/YdjWmhUkn6YXEykwKISGdSvyWsyUjg98APIjLdXXYd0BNAVR8DTgIuEpEIUAaMVtUGaPXVdDS2DorupuoMd6VOX/KKjyD90OT7hn9CSx6HyI8Q7I9knY8Etm+8WCOLIDAAKj9MYWsBomisAPF1qLqq+D4ofQbnIwNY0qBxNq1ytOTf+HIuh7ThSNpwrwMyDWTWsg2MHZ/PL2tLGHtQX8YevCMBf3MomTKm8aSS9B8EXgG6iMjtOIn4r1t7YlX9giojqiTc5mHg4a09l6cqvnbHbq/ehawULX8XSZL0nWFkz2Fj6QCRBWj5O9DxeSS4W4OHqeEf0HW/d6euTWkPCM9CV+2LZpwIob2chKhRKH2KlPvptwTl70PO5V5HYRqIqvLUl4u46515dMgKMu6PezGiT57XYRnTJGpN+qr6vIhMBQ7GSdLHq+rcRo+stZBMEl/b+ECSj+imhTdRtS46ClqKFt6B5D3fsDECWnhLLVPXClsWk7uJvWw8lI1H8UPoIFIfHKeF8HX0OgLTQNaVVHL1SzP4YO4qDtmlC/84aRAds6xdhmk7akz6IuIDZqpqf2Be04TUyqSNJHHSDyGZJyXcRTUCkfkJ1znjwsdtG56Llk0CLUbSDoO0/XE+tkTHjUHlF86Y+JKFZIxCgju6x62lzt3f12m9X2PNThQqJ9d8nBZHwJdHrOACCA5FMk9FfO29DsrUw9c/r+WyF/IpKAlz47G7ctbeva3vvWlzakz6qhoTkRki0lNVf22qoFoTkRB0+A9acB6bEqaGIedyJDggyV5+kPQEU80CcTPJxUqeh6K/s7mB4DsQ2gva/2uLxK8aQ9dfApVfunf0frT0eTTnOnxZo0GynD74CWVCdDEN05SjuRLwdYNY9Rn9/FDxIRCGiq/Rkqeg0yuIfxsvgjT1EInGePDD+Tz08QK2z8viiTP3oH/3dl6HZYwnUqnT3waYLSLfETdHqqr+rtGiamUkNBS6fAUVbsINjUD8yesQRQTNGO1Mg1uliD8DMs8EQGMFUHQXVRoIailUfOM2EDyk6kErPo5L+OAMjBOFotvRjCMg4zQo/S+JB8wpo0FGzWvW/El6LcRPvlMOWokW3YO0v7upAjNbYdn6Mi6bkM/3iwo4afce3Py73chKa07jSBjTtFL59t/c6FG0ASJpkH5Q6tvnXIHG1kL5uyAhp3Qg4zgk6zxngxobCL6DVEv6Wv5O4jp7CUDl10jOWDSyMEHxfICGHTmvOQpQ48x6VcSg4lM0VoAWPwrl7zn99zNPRzJPa1ZdMNu6d2f9xjUvzyQaUx4YPZjjBnf3OiRjPJdKQ75PmyIQU5VICGl/Nxq9FqJLIdATiW9QJukkbyCYleCAGc66LYroBUhDJIh0fIRY2ftQdIdbzB0Efzd3etvWrI7VFpLuzE8QXcWmRotFd6PhfKR9wiEnTBMqD0e57a05PPfNrwzs0Y6HxgyhV16C/xPGtEG1Jn0RKWJz2W4ICAIlqpqbfC/TUMTfCfwJBiFMG5lkjxCSceKWx8k4ES17nc19510aQUueRIsfB182VH6Nc9erOEPvLt26F9Ai1CXpp0OgP1R+RdVeCmVQPhmN/NKoYymYms1fWcQl4/OZ91sR5++3A1ce1o9QwPreG7NRKnf6VQafFpHjgQYbe9/Uj0gadHgcLTgfZ55XBSKQPRYJDdpy+9BgNPtCKP4XiA/wuVUDMQhvObLeZq258V4qBEgH8TtVLGkHuMsTNLIUv9MLwpJ+k1NVJny/hJvfmE1WKMDTZ+/BAf26eB2WMc1OnVu0qOqrInJtYwRjklNVCH8PkZ8h0AeCeyChYW4Dwc/dBoJ7I/7k8w74si9CM06Aiq/Q2Hpn5DxSmHe+TQtAu9sRCUJgZyTQi1jRvVARJOF4BNaqv8ltKAtz3aQfeOuHFezTtxP3njqILjnJJlkypm1LpXh/VNxTHzCM1t+Uu1nRWJEzWl50EWjMuVP394aOzyC+3BqH8q1O/N0gcxSUPLcVH2JnYD0texCeRO0bEglD6TNI3kQANPKrc+G1RcM/P/i6QHBYA8dpajJ1cQGXTsjntw3lXHPEzlyw3w74fNb33phkUrnTPzbucQRYBBzXKNGYhLToNnewHjfJKhCZjxbdjrT7e/0O6mufpPV/KtbQ4q/70g6Bis9IaQa+8AxnVsTocnTtCaAlVH39PggOQdrfZ4O9NJFYTHn005+5d/JPbNMunYkXjmBozw6172hMG5dK0v+vqn4Zv0BERgKpTMVmGkLZ22x5Vx12lrtJXzWMlr4C5ZMAQTJOdrr4JetCln4wFN5Qz4BaeMIHqHgfyAaygHKQXHcwpEQXASHAh5b8y+32WL2EIA3p+JTTzsI0ulWF5Vw+cTpfLljLMQO34Y5RA8hND3odljEtQipJ/yFgaArLTKNJ1k/eKWJWVbTgQqicwsYGZhqeAxUfojk3ILoBAts79dKARpehhbclHvGvTSkG0qD9vyE4FAqvh4oPqHqBlQYZJzoDJlV+T8LPQnwQWQzBnZom7Dbs4x9XceXEGZRURvj7iQM4Zdh2VrpiTB0kTfoiMgLYG+gsIn+OW5UL2AgkTSm0D1R+RtU7TJ+zHKDyWwhPpWqL8jJn+NiKT1Bx71Rz/oakH4yuORF0PdYyH6ACiu6E6DKcr/XG9yTTeRzaA8l12636uyces0DDibtVmgZTGYnxj3fn8d8vfmHnbjm8cNpe9O2SU/uOxpgqarrTD+GUfwaA+P9dhTjT65omIu1udBN1GU5izwDJQHJvBEArv0syQ17M+VP3zrXwBjQ82z2OJfxNoj8nWOiDvJfwBftuWiJZ56OV06l6cZUGaQdUHTjJNKhFa0oYOyGfmUs38IcRvbjuqF1ID9p9hzH1kTTpuyPxfSoiT6vq4iaMyVQj/u7Q+QO07DWIzHO6jmUch/icqXnF1xElndobpVW4ddltvVg/BaJIbCkQl/TTRqK5NzglAxoGopB+MJJ7h2dhtnav5i/j+ld+IOD38dgZu3NE/25eh2RMi5ZKnX6piPwT2A3Y1PlVVVMfSN5sNfFlI1mnJ16ZcTQU351C+zrFucNP5QKhjVOF2JazDkrGsahWQMmTECuAyh/Q0vGQdToi1je8oZRURLjhtdm8PG0pe/buyP2jB7Nt+wyvwzKmxUsl6T8PvAAcA1wInAmsbsygzJY08gvE1kBgl013+BuJr4Mzfe/6saDl7uh8iYr7Q5B+OJS95nbVawWt8BtNFEJVB55UjaDr/gDhGWxq0BcrguK70fI30UA/qHjXGUsh7SAk9/oaB0syic1atoGx4/NZtLaEsQfvyNiD+hLw21C6xjSEVJJ+nqo+ISKXxhX52yQ8TUSja9GCCyDyk9uvPoJmX4ov+9wq20loD+j8BUTmAoJWfA4lj8a10A+ALwfJuggyT0c3/M0Z4c8SfwIZkHUu4u9adXH5+xCew5Yt+KMQmeNUvWxcV/EeujYfOr9vXflSpKo89eUi7npnHh2zQow7by/22iH5FNTGmLpLJelv7L+0QkSOBpYDPRovJBNP1/+fk1CIbM7PxQ+iwT7IpnHgHSJ+CPZ3Hgd3QwN90ZInnBKC0H5I9gWIPw/IQ/KeI7bufKj8pAlfTTMXGAL+bkjmqUja3lVWafgHtPB2kleLKFUvBqKgG5ypkTNsLKvarCup5KoXZ/DhvFUcsksX/nnSIDpkhbwOy5hWJ5Wkf5uItAOuwOmfnwtc3qhRGQA0shTCs9lyyNcytOSpLZJ+dZJ+CJJ+SOJjR1e7xdRmI8mbkLDPt1bOcIZBrms7CC1Fw/MQS/o1+urnNVz+wnQKSsLcdOyunLl3b+t7b0wjSWWWvTfdhxuAAxs3HFOFbgAJJh4qN7Z26w5dcAFowVYdo1UJDAAtJFb0iHN3LmmQMRrJ+gNafDf1a/iYiQT61r5ZGxWJxnjgw/k8/PECtu+UxZNn7cFu27bzOixjWrVUJtzZCXgU6Kqq/UVkIPA7Vb2t0aNr6wJ9SVznHoS0/et9WI0shMiC1Hfw7+z2ZW/JE+zUIrgHuuYEiK1k0+ssfgANT3Hr8WvSHnzpTjXKplIZH/gyIf3Ixou5BVtaUMplE6YzZXEBJ+/eg5uP243MUJ0n/TTG1FEqTWL/A/wF95dQVWcCoxszKOMQSYOc64nrKQkEwdcByTo32W61i61zGgWmJB2yL6bVD8JY9iTEllL1wqYcKr4EX7KJXELQYRLS9Ruk06uQdjDOdbQfQiORvBcRX2ajh97SvDtrBUc98DnzfivigdGD+efJgyzhG9NEUvmflqmq31WrY6teyWwaiWSMQsPToOwVnD72Acg6f+tGgAvssnmUvtqkHYikH4oWdYbYkvqfs8USCI2E8tVV5yqQDMg4A19af/d5R6TDQ6gqoIhYF7PqysNRbn1zDs9/+yuDerTjwTFD6JWX5XVYxrQpqST9NSLSB7ecWUROAlY0alRmEy15FMreYnPL8DIouhv1d0XSD6/fQcM/kHwSn2oqPgYqoP29sO5UWv7wvULduykKBPeGym/Y9L5ljEFy/rzlliLuOUy8n1YWccm4fH5cWcQF++3AFYf1IxSwCyNjmloqSf//gMeBnUVkGfALkGRoONOQVKNQ8l+2HDa3HC16oF5JX1XRDddQp8Ka2Hp8oUHEpCPomjqfs3mpS8IXoAzKXsZ5v4KQfizk/g2fz0bfS4WqMv67Jdzy5myy0wL875w92X8nG7DIGK/UNMvepar6ALCNqh4iIlmAT1W3HJvUNA4tTdxyHyC2vH7HjK1who9NWQUaW49qWStI+HXhY/MFwsbPIArlryOZx0NoD4/iajk2lIW5btIPvPXDCvbdsRP3nDKILjl2sWSMl2oqXzvb/fchAFUtsYTfxCQbfEm6MAV2rOcx06lbEb3C+kuh+Mn6na+l8vUhcTF9BVoybtMz1bBbj2/iTV1cwFEPfM57s3/j2iN35n9n72kJ35hmoKbi/bkisgjoLCIz45YLoKo6sFEjM4gImn0lFN5M1X7i6UjO1fU7pq8jGhoKld+RcvKPrgBfgnnkW7PY/OTrIj+hFd+ihTe5XRlDaPpRkHsbPl/bHkUuGlMe+/Rn7p38E9u2T+fFC0cwpGey3g/GmKZW09S6Y0SkG/Ae8LumC8nE82WeiPqy0eIHIbocAn2RnKudsfbrSdrdi6490SnqT2kHHwR3g/C3tPyGfA0hghacx+YLsUoofxUqJqN5ryCB3h7G5p2VheX8eeJ0vlywlmMGbsMdowaQmx70OixjTJwaG/Kp6m/AoCaKxSQh6YfXv6V+ouP5O6Gd3odVe5DSSHOSDVnnQdlLoOsbLI4WKwab6/njaAm67gzo/KkzD0Ib8vG8VVzx4gxKKyP8/cQBnDJsOxtK15hmyNM+MyJyhIj8KCILROTaBOvTROQFd/23ItK76aNsnXy+NAgOqGUrAQKQfQWUjU/eqLDFCZFax5VkSkjaCyBWBJXfb8WxW5aKiNP3/uynv6dLThpvXrIPp+7R0xK+Mc2UZ8NgiXMr9AhwKLAU+F5EXlfV+DFPzwUKVLWviIwG/g6c2vTR1p1G10B4CkguhIY3uzs/jS6H8Mwka0M4/dHdv8K/4IzIFz+gjx9n7qWWOH5/FDq9BaUToWwCIHED76RQfSFSQ88/cUY8bAN+WVPCJeOnMWtZIX8Y0YvrjtqF9GDz+p4bY6rycuzLPYEFqroQQEQmAMcB8Un/OOAm9/FLwMMiItrMm0vHih+B4kdBQoA6o7d1+B8SrGeL+8YQWeLEl/DuPczmrKbuX/VkGAV/JtLpC3TlSKAlFfsL4u+B5F6L5vwZIr+gkgsl/3KqMGobuMjXxe32WJlgZRRCQxsh5ubllfyl/PWVWQT8Pv79+905fLduXodkjElBTf3036CG+xlV3drGfd2B+HFdlwLDk22jqhER2QDkAVt0GBeR84HzAXr27LmVodWfVnwFxY8DlaBuUtAStOCP0PnjZjM8q2olJO2BmeI1VXS1cwwJ1H2QO88I+LpDZDEEd0QkBMF+Tue8drcSyzwD1p5I4oQOkAEZJ0OwH6w7i6oDJ2VA5umIv/UmwOKKCDe8NotJ05axZ++O3D96MNu2z/A6LGNMimq607/b/XcU0A14zn0+BljUAOdOVOlXPXWkso2zUPVxnJEDGTZsmGcpSEvHseUIeoAWOsXpocFNHtMWocTWwYaxSdb6SLmFfqAPuuGWZjBFr4B0A02lN4JCbAm69kQ09wZ8mSdVWesL9iOW81couh3nfYir0pBMCPRDMkchEkK7fI2WToDyd8CXjWSe7k660zrNWraBS8bns3htCZcevCOXHNSXgL95XMQaY1JTU5e9TwFE5FZV3S9u1Rsi8lkDnHspsF3c8x5A9WHmNm6zVEQCQDugeVeYxpLdPQtoSZOGkohqJbr+Rme0v0SkA2gxCVunV5HmtFeoeLuhQ6wHBQmC+kltToEYUA6FN6PpRyC+7CprfVmj0fQDoeJjNLbGLdEoR9L2h/RDEXG6oYkvE8k+B7LPafBX1JyoKk9+uYi73plLXlYa487bi712yPM6LGNMPaRSp99ZRHaIq3vfHmiIwbO/B3Z0j7cMZ7re06pt8zpwJvA1cBLwUXOvzyf9KAhPZ4u7fY1CcIgnIW0KQSPoujPd+JK8jboWp5FeDXf8gQHgy4XKKY0TaI2STJgTW06dxxCQIFR+C+lb3p2Lvytkjm7zU+esLa7gyhdn8PGPqzlkl67886SBdMhq2wMQGdOSpZL0Lwc+EZGF7vPewAVbe2K3jv5inMF//MCTqjpbRG4Bpqjq68ATwLMisgDnDn/01p63sUnm8WjZRIgswEn8PiAEuTd4P7d6xYcQmUvtd8MKof0g8gPENrB5cp4MyByDZF+MrtqL5PXejUmAYIJzR3B6HQRxutSlQMNodDGoWhezBL76eQ2XTZjO+tIwN/9uN/4wope9T8a0cJLKjbOIpAE7u0/nqTbvDtvDhg3TKVO8uAt1qFZC+dto+Qfgy0MyT0WCu3oWz0axDddA2SupbezfAcl7AS15Asongy8XyfyDU5IRW46uPoqEbReahB/nrj7Bdze0D/i3g7JJ1F5FAZABgd5Ix2eQZPMctDGRaIz7P5jPI58sYPtOWTw8Zii7bpvrdVjGmBqIyFRVHVbbdql22dsd5w4/AAwSEVT1ma2Ir1UTCUHG8UjG8V6HUpUvD+cjrG1aXYHAjoivnTNnfLV549XX1e3ul2rS90PakRBdApE5VO3vX0MMztkSrEtWUuEDf1ck9yY00BOK/wu6Dvx9nNb25W8nOF4ZRBaghbcg7e9J8fW0XksLSrl0wnSmLi7glGE9uOl3u5EZ8rJnrzGmIdX6v1lEngX6ANPZ/GurgCX9FkYyTkZLnqP2pJ+GZF+Y/DgSQLMuguK7ajiGH3LuRDL2A8lCJM0pASl7FS173ekypytr2L8+TTdCSObvEREk61zIOnfTmljBhThf90QXHGEofxfVu9t08fU7P6zgmpdnElN4YPRgjhvc3euQjDENLJVL+GHArs2+AZ2plQS2R9vdBYXXsWm+eMmC0EioeM+5c/fvgOTegAR3q/lg0WUkbVQH4GuPZOyH+DpuPr+E0NBeUDoOdHUDvCK3vYQEQGOQc3PCahSNrYOKL6i5hCGK81raXtIvD0e55c05jPv2Vwb1aMeDY4bQKy/L67BarSU/LmPaBz+QmZvByOP3JDPHxjkwTSeVpD8Lp59+ilOymebMl3EUmn4wVE4HSYfgAER8qN4FhJ2qiVSE86nxbjy2Hi26D2l36+ZFpROh8BYarAFgcDBknQ/F90PkRyi6nljkWyTnesSXhWoMKr9GKz6s5UACoT2bzcBJTemnlUVcPG4aP60s5oL9d+CKQ/sRCrS996EpqCqPXv40b/3nA1DFF/Dz0P/9l9ve/AsD9/O+zY9pG1JJ+p2AOSLyHXEtoxpgRD7jEZE0SBtebZngtH5PUaCvWz+frJtcFMrfBTfpa2wdFN5Kw7X4D0L6ybDhKndcAXWOXfYyWvElmvcCrP+zE2OyMQkA8INkI7m3NFBcLYOqMu67X7nljTnkpAd45pw92W+nhuiJa5KZ8v4M3nniQyrLNv4fcEqebjzhH7z4238JBK3thGl8qXzLbmrsIEzLECt9A0oehthK8PfC+frUkMRl81zqWv4eqQ2ck6owFP2FTdUUm88EsRWw+jB3ebIW/O4MglkXIFlntqmW+xtKw1w7aSbvzPqNfXfsxL2nDKZzTprXYbV67z7xIeUlW34fY9EYMz+by9CDa5v10pitV2vSV9VPRaQrsIe76DtVXdW4YZnmJlbyHBT9k03d9CJzgRD4ukHstwR7pEHGCQBorACK7qP2BoT1iizJ8vIky33g7wGhfZHsC1r1OPmJTF28jrHjp7OysJxrj9yZ8/fdAZ+v7bVj8EK4Mvn3P1LDOmMaUq2VdyJyCvAdcDJwCvCtiJxU816mNVGNOPXmW/TLr4RAL8h7z5nERrJwhufNhOCuSPbFzv4l/2kWQxA7QkiHJ/C1u7FNJfxoTHn4o/mc8u9v8PngxQtHcOH+fSzhN6FDztiP9KwtS1Ri0RgD97c6fdM0Uinevx7YY+PdvYh0Bj7AmerWtAWxgiRT8ALhH/EFt0c7T4bKL5wpe4O7QHD3zd3fyj8ktb75DS1B7wJ/V/DXfRZGVYXwVLTiE6cLYvqxSKBHg0TZ2FYWlnPZhOl8vXAtxw7alttP6E9uerD2HU2D2mfUcD4a9zlTJ8+kvKSCYCiA+H1c/fTFpGda9YppGqkkfV+14vy1pFBCYFoRXzuSfuR+J/GJBCDtAEj02+XLTVKdX0OXvzpJdJwM8HeG6FI2VwEEIPeOOvfFV1V0w1VQMRm0HAigxY+i7e7Al3HM1offiD6at5IrX5xJWWWUf5w4kJOH9WjTYxF4yefzcePLVzHjk9l8+/Y0cjpkcfDp+9G1lzWgNE0nlaT/roi8B4x3n58KvNN4IZnmRiSEZv4eSp+lahF/OpKTbIreOKF9ITwjwYo0EN+WreslC9r9HWLFbhe/mlrfA/ic0QZjhe5se5WQcSKUvUHViwGBotvR0Ct1S3wVn7gJf+NrDzt/G65D0w7YYpa+5qAiEuXv7/zIk1/+ws7dcnj4tCH07ZLjdVhtnogw+MD+DD6wv9ehmDYqlYZ8V4nIKGAfnFuqx1U1xQHcTWshOX9GJQilTztF/b4OkHMtknZA7TtH5iRZEQNycFrYbywKCICvM5J2MJRNRFOaOS8KWuRMauTfBoK7uCMPFlI16YchugjCUyFU6xDVm2j5m4mHHJYAVH4N6YemfKym8MuaEi4ZP41Zywo5c0Qv/nLULqQH/V6HZYxpBlIZhnd74G1VneQ+zxCR3qq6qLGDM82HiA/JuRTNvthJgJKV+t1yNMm4ThJy+vGXTYKKjwGB9MOR3OsR8Tuj96Va/K9lUPk10v4ep/695KnE+2oUIgvrlPSRmv6bNK++1ZOmLeVvr84iGPDx+O9357Dd2k5jxZasrLiMb9+aRkVZJcMOH0zeNh28Dsm0Uqn8Yr0I7B33POou2yPx5qY1E3EGs6mT0Ah3quFqjfk0goSGI+kHJT5XYHs042QoG09KffzVOb5WfkHy6XWjzsBCdSDpJ6Bl77Jl7wWFtBF1OlZjKa6I8LdXZ/FK/jL23L4jD4wezDbtbHjXlmDaBzO58YR/ID5BY0osGuOsW0dz8hU2/plpeKk0yAuo6v+3d9/hUVRfA8e/d3sKvVfpXbo0QUWKAgIKohQbYEWa/hRFbC+KomKhWFBRLDRpigiCotIEAem9l0AoIZSEJFvv+8cumJDdZANJNuV8nidPNjOzs2ey2ZyZO/eee6UCi+9xBkq3ifxORQzwnSgkP8cMg8jBKEPaNd5VwVeAYHqah6PCunofxn2Qxg7DwNwoiP0le4q1BYT3wdtL0QqEA2GowhNRypahfWWFbU/kh7cAACAASURBVFEXuGvCSn7afJzh7asz47EWkvBzicRLSbze4z2SLtlJjEsi6ZIdR5KTb16dxf5Nh0IdnsiDgrnSP6OU6qa1XgCglOoOxGRtWCIvUcaSUPwndPyn3mF9huKoiEdRQdwLV0ql38Cvwr2dBa3t0J4L3jr8gUQ8eU291w0FX0SH3w/2ld6OhrYOKENo55j3eDRfrT7EO7/upniklRmPtaB5lWIhjUlkzPrFm8DP36PT7mTpN39RrVHlEEQl8rJgkv6TwDSl1Md4b5JGAQ9laVQiz1HG0qhC/3dtT7a189bxT9HEbwBjObB2QFnb+ibMUWhPPN4/a38Vzoyo8L7XFgPe2w2YcsY/4bPxdp6bvYU/95yhQ51SvNuzPkUipAEut3EkOcHPBKYej8aeGKiEtBDXLpje+weAFkqpSEBpreOyPiyRk3kL1WxAJy4EFCqsG8rSOMteTxUYiXb86x2SRwIQDsqGKvI1ynRVoR1DGTAUAM/VZXgV2LqlezshN/h7fwzDZ23mfKKT0d3r8mCLG2TsfS7VpEN93K7U/VVsEVba9MwZ/UVE3hJM7/1SwFtAWa11J6VUHaCl1npKlkcnciQd9xYk/MDl+vY6cT46vB+GgiOy5PWUsSSUWAKJi9HOnWCqhgq7y+/4eKUMUPBN9PlheCcD8gAW70x6BZ7Jkviyi9Pt4aPf9/LJXweoUjyCqf2bUadsaG8xiOtTpFRhHn3nAaa8OA2nw4XH7cEWYaVF16Y06VA/3ecf23Oc1T+ux2gy0qZnc0pXKpkNUYvcTGk/TUspNlBqMfA1MEpr3UApZQI2aa1z7JRQTZs21Rs2bAh1GHmSdu5En+1N6gltbKji81AZ7BmfVbRzNzphKriOgqUFKuIBlKFoqMO6ZsdiExg2cxMbj57n/qYVeK1bHcItOWu4oLh2h7YdYem3y0m6ZKf1Pc1o3L5+uq033785hxlvz8ftcmNQCmU08NQHD3PXEx2zKWqRkyil/tVapzsWOZikv15rfZNSapPWupFv2WatdcNMijXTSdLPOjr+U3T8BFIPoTOhCjyLing0FGHlaYu2RfPC3K1oDW/1uJFuDcqGOiQRYoe2H2VI85HYE1NObW2xmflm30SKl5MOnflNsEk/mCF7l5RSxfBVOlFKtQAuXGd8IrdSFsBfdTcT/gvvi2uV6HAzct42Bk3bSJUSkSwa2kYSvgBgxZw1fqfqVUqxZoFc8IjAgmkffBZYAFRVSq0GSgAytW5+ZesMcR/5WaHBdme2h5NX7TkZx5AZG9l7Kp4nbq3Ccx1rYjbKPFdCiOuT7n8RrfVG4Fa8VfmeAOpqrbdmdWAiZ1LGMlDoLbyT5UR4v7BCoXdRRpkt7Hpprfl+7RG6TVpF7CUn3w5oxshOtSXhixRuubclJj99Ojxa07K7FEsVgQW80ldK3QQc01qf1Fq7lFJNgJ7AEaXU61rr2GyLUuQohrCuaOstYF8BKLDeijLIDG7X60KCkxfnbWXx9pO0qV6cD+5rSIkCcstEpFa5XkX6vtSD6W/Nw+NyowwGlIJB4/ujlGLamDkc33eS+rfUoW2fm7GGyd+R8ArYkU8ptRFor7WOVUrdAswEhgANgdpa6xzbxC8d+URus+FwLMNmbubUxSSev6Mmj7WpgsEgY+9F2qL2RfP3j+uuDNmLOXGOFzu+gcvpxml3YouwUqRUYSate5uCRTPvxHzjsm3M/fBnzp44R7NOjej5zF0UKi7DR0PpunvvK6W2aK0b+B5/DJzRWr/u+1l67wuRCdwezSd/7uejZfsoVziMCX0a0bBC4VCHJXIhrTX9aw7l+P6TKZabLSa6DrqDpz54JFNeZ8Env/L5iO+xJ3grBpqtZgoWi2Ty5nGS+EMoM3rvG31j8gHaAX8kWycDhIW4TqcuJvHAl//w/m976XJjGX4Z2loSfi6xc+1ePnpyMu8+Mol/Fm0kvaHP2eFs9DnORJ1NtdzpcLFyztpMeY2kBDtfvPBfwgfvPAEXz8Yz76NfMuU1RNZKK3nPAJYrpWLwzim6EkApVQ0ZsifEdVm26xTPzd5CktPDu/fWp1eT8lJKN5f4bvRsZr37E45EB1prVs5dS4u7mvDS9OFBv4cup4s1CzYQtTeaG+qWp3nnxhhN/obCpqa1Zs/6/excs5diZYrQsltTLDYLFqsZj8f/yYclLJiZKtN3aNtRDH46lTrtTv5ZtJH+b/bJlNcRWSdg0tdaj1FKLQPKAEv1f6eyBrz39oUQGWR3uRm7eDdfrz5M7TIFmdinEdVKpi4nLHKmU0fOMHPsfO9EOT5Jl+ysXfgvW/7aQcO29dLdx9nocwxrNYqLsXHYL9mxRlgpVqYI41ePoWCxtO+7u5wuXu/xHlv+2oHL6UZ7NFprmnZswKNj+1GreTV2/r0Xj9tz5TnWMAtdHk9/RstgFC5REJcz9VwBAEXLFMmU1xBZK81xQFrrtVrr+VrrS8mW7fUN4xNCZMDBM/H0+ORvvl59mEdaVWL+oFaS8HOZf5duQfnpYGlPsLP6p/UBn2dPtLNnwwFOHTnD+wM/4fTRMyTGJeHxaBLjkog+eIrP/vdNuq+/cPJvbP5zO0mX7LgcLtwuNx63h3WLNzGk5SjuGdKZkhWLE1bAhi3CijXMQpM7GtBjWJfrOu7LylQpRbWGlTCaU7ZKWMOt3Pts10x5DZG15N68ENlg7r9RvPLTdiwmA1881JQOdUqFOiRxDazhVgyG1NdKBqOR8EgbAPs2HmT1j+s5vi+aIqUL4Uh08Pv3KzCajCRdSsLjTt0E73Z5WP7DGkZMHZzm6y/64nfsCQ6/6+wJdr4bPZupeyfw58y/OXsilpvubEiVG2+4hiMN7PX5I3jtnnc5sPkwJrMRt8vDo2P70bhdjp2ORSQTkqSvlHoP6Ip3GrQDQH+t9Xk/2x0G4vAWencF0zNRiJwk3u7ilR+3M3/TcZpVLsr43g0pUygs1GGJa9SiaxM+fMKTarnRbKTdA2344LHP+H3acpxJqUvkpsfpcKa7jb9peJM7vP0Y3Qs9hMvhwmgy8utXf/DyzGeo2qBSUDG4nC6UUmn2LyhSshATVo/hxIGTnD9zkSr1b8AWLnUAcotQlfn6Dainta4P7AVGprFtW611Q0n4IrfZFnWBuyas5KfNx3mmfQ1mPNZCEn4ucHT3ccYN+JgnGz/PuIGfcGzPcQDcbjffvzHnvyt1BWarCYvNzOAJAzh1+Ax/zlx1TQkfvB30HPa0E3+7B25Jt1OePcGB2+XBkeQkas8Jnmv7OglxiWk+J/rQKUZ0GE2X8H50Ce/HK93Gcjb6XJrPKVu1NHVa1JCEn8uE5Epfa7002Y9rkVr+Ig/xeDRfrT7EO7/upniklZmPt6RZ5dw7rW9eprVmw9It/DVzNUazkWoNK/HZ/77Bafcm7oNbj7D8h795b9lrrJizhp8/XYrzcmLW3q/hnz9Bhwdv5a1+40m6ZA/8YukwGg0YDAqPx8OxPSc4e/wsGrihdgWKl/P+/fQc3oW/f1zHgS1HcPmZcMcfl9PFitlruHPA7X7XJ15KYmjLUVyMuXil9//6XzczvPXLTN0zIehRBSJ3yAn39AcAswKs08BSpZQGJmutPw+0E6XU48DjABUrVsz0IIUIRky8nedmb+GvPWfoWKcU795bn8LhllCHJfzQWvPuI5NYNe+fgMlaezRJl+xMGvIVh3ccSzE+Hbxj4Od88DMdHryV6IOnriuexh0asHX5Tt7qN56LMXEpxv4XLlWIkd8PxRZuZcTUwRzdc5zvRs/h8Laj2MKtaV7J2xMcnD0R+Kp9+Q9rvH0Nkg33c7vcXIi5yLrFm2jZVRpZ85IsS/pKqd+B0n5WjdJa/+TbZhTgAqYF2M3NWusTSqmSwG9Kqd1a6xX+NvSdEHwO3op8130AQmTQ6v0xDJ+1mQuJTkZ3r8uDLW6Qsfc52I6/96SZ8JPbs35/wPfyzLGzRO2LZv+mQ9cci1JQp1UNRnYeg8eVus/A+VMXeKHDG9girGitqVirHK/NeY7tq3axfeUuls9eQ8JF/4nfGm6hdovqAV/72O4ov78Dp91J1N7oaz4mkTNlWdLXWrdPa71S6mHgLqCdDlDOSmt9wvf9tFJqPtAM8Jv0hQgVp9vDh7/t5dPlB6hSPIJv+jejTlkpR5rTnDpyBkeSg3LVy2AwGFj78waSEoJvjg9Uda9i7XJ8PWq632Qd/L7hu9dnpxhf78/l5Lxv0yEerj4Yg1IBC/IAGIwGqjWqTKM0etZXbVCJsEgbifFJKZabLWaq1JdW07wmVL337wReAG7VWicE2CYCMGit43yPOwKjszFMIdJ1LDaBoTM3senoee5vWoHXutUh3M+UpyJ0Thw4yf/dO46ovdEYDIqIwhHepvJIGyaTMWCxmWAYTQb2rD8AWuPxXHvSB9JN+Cn48rzHz4mIMijQGovNwv0v3M39I7qn2eLUumcLvn55Jg67E7fvd2GymChTpVSaJwsidwo44U6WvqhS+wErcLlQ9Fqt9ZNKqbLAl1rrzkqpKsB833oTMF1rPSaY/cuEOyI7/LI1mhfnbQUNb/W4ka4NyoY6JHEVt8tNv8qDiI0+h052RWyLsDJ2ySuM6DAaR6L/ce/pMVvNKEWK6nz+KINK8dpZzRZhZdI/b3NDnQpXlrmcLn6cuJhfPv8dp93Jbfe3os/Ie4goFAHAudMX+Pz5b1k1/x/QUKtZdZ4Y9yDVGlXJtrjF9bnuWfZyM0n6IislOtyMXriDGeuO0aBCYSb2bkTFYuGhDitfOLbnOH9MX0lSgoNW3W6iXutaaV7Frlu8iTd7f0jiVR3dzFYTfV7qgS3CypSR0zEYDBjNRpx2Jwrvla7L4UJr8Hg815y0TRYTxcoW5tThmGt6/rWw2Cz8kpCym9Srd7/Dxt+3XinsY7aaKFWpJJM3j8Ni9Q4BPH30DP9r+zoXYi6C9p4w3XpfK577apDfgkQiZ8mMWfaEEFfZczKObpNWMWPdMZ68tSpznmwpCT+bLPryd55sPIIZb//I3A8W8lLnMbzX/+M0Z7g7eyIW7afZ3Wn3Tngz9eVZKKXQWuOyO3l64gA+3zIOW4QNpRRul/uaEr7BaODJDx6masNK2ZrwUVC4ZEEmP/8th3ccA+DAlsMpEj54jz/meCwrZq+5smx0r/c5fTSGxLgkEuOTcCQ5WTFnLb9O+SPVy4jcS5K+EEHQWvP92iN0m7SKcwlOvhvYjBc71cLsZ8YxkfkuxFxk0tCvcCQ6vIlYe4fSrZy7lg1Lt5AQl+g3+ddpWcNvRzdruIVDW4/gSHLgcri8X043nw2fyqIpf5BwMQFnkOPg/fG4PXz+/HfsWbf/mvcBQEYHf2g4fTSGOe//zJONn2fRl7+z+599fjdNik9i28qdAMQcP8vBbUdT9SuwJ9hZ8MmSa4lc5FDyH0uIdFxIcPLU9xt5+cftNK9SjMXD2tCmeolQh5Wv/Lt0CyZz6iIxSZfsvHzX2/Qo9ggPVRvMusWbUqy/oU4Fbu5+E9arqsbZExx+O/C5XG5+nbIs3fv0wchQx7xAtLezoC0i7ap3/iYBcjvdTBj0JZFFIv1Oh2uxmQmLsDFv/C8s/WZ5wNskSZeS/C4XuZN0MxYiDesPxzJsxiZOx9l5qXMtHm1dBYOff7AiaxnNJlSAy97LyfXkodOMvncc7/3xOkd3RfHt6z9w9sQ5ylUvTaeBt/PrV394h+il0VrvcXmIP+93QFHIuF0e3C47SoEyGFKdTFjDrXjcnv8qBaZ4rptPhn+FwXC52l+yAjxuDz9/thTtO7FwJKXu0Gi2mmhzb8vMPygRMpL0hfDD7dF88ud+Pvx9L+WLhDP3qVY0qFA41GHlWzfd2TCoK2dHkoMPHvuU6IOnr1TPO7rruK9ankoz4ed0WoN2ezAYDRiMBiw2My6Hi86P3s78iYsDPi82+jwmi9HbGuBL+rYI74nC5RYNZ7JyBUazAbfTgy3CSrGyRbl/RPcsPS6RvSTpC3GVkxeSGD5rE2sPxtK9YVnevLseBWxpT3IislZ4gTBemf0/Rvd6H2UAt9P/la3WcGRnVKrOd067y28TeG5ki7AyeMIAKtapQNmqpZg0ZEq6z3E5Ut7KCNTiYYu0cdMdDTGZjTS8/Uba9WuNNUwm1MlLJOkLkcyyXad4bvYWkpwe3ru3Pvc2KS+ldHOIZp0aMTNqMmsWbOBibDxTRk5LlfgNRkPA3vb+lpssvuI8mdgCcHm4X1bRWlOyYglqNq3KP4s28vdP6zMef4DtFdCgbV3ueqIDp4/G8N3o2Zw+epbG7etze5+bsdhkHoncTsbpCwHYXW7GLt7N16sPU6dMQSb2bUTVEpGhDkukYcpL05g/YXGKSXBsEVaUUqlKysLle9/uKzPoKaWIKBxOjSZV2PznjkzpeKcMisjCEcTFxl/3vgIpWqYI049+itFoZOyDE1g2bWWm7t8WYcVgNOK0O9Aeb2EfW4SVEhWKM3HtW0QUlCGqOZGM0xciSAfPxNPjk7/5evVhHmlViXmDWknCzwUGjOnL4+8+QKlKJbBF2mjcvj4frnyDB17tlaq3vjXcwkOv9aLuzbUwW0wog6JB27oMnjCQPRsOZFrFPO3RWZrwAW66s8GV1ieTxURmN0QlXbJ7hyzaXbicrivLTh0+zdwPF17ZLmpfNPs2Hryyjcgd5Epf5Ftaa+ZuPM6rP23HajLw3r0NaF+nVKjDEtdJa838CYuYPmYuF2LiKFGhOGGRVk4dicFoNOB2ual/ax2e/3oQD1cf6rdVIC3ZXVbXn6KlC/N/P47AkeTkpc5jUhTeyUoVa5djzC8v8Wr3dzhx4CRGoxFlVPzvy0G06dE8W2IQ/kkZXkn6Ig3xdhcvz9/Gj5tP0LxyUcb3bkTpQrZQhyUyUUJcIvPGL2Tuh79w6XxCiuI9FpuZ+rfUYfvq3UFNrZsjKej0aDsObTnC7ustAhSkGk2rEhcbz6nDp1MM/7OGWfh4/dgU9f5F9go26UtHPpHvbI06z5AZmzgWm8CzHWrwdNtqGPNIz27hZU+0M6TFSKIPnrpyDz85R5KTrSt3ZU4BnVDRsPiLZQCpxuBnBVu4lSYd6vPjpMWpXsvpcLHg06UMmTgwS2MQ10+Svsg3PB7NlFWHeHfJbkpEWpn1REtuqlQ01GGJLPDnjNWcPhrjN+Ff5nF7MJoMuLKnZTxLZXbCN5q8oyAu941wu9zc1vtmqjWs7Hc0i8ft4czRbJxjQFwz6cgn8oWYeDv9p65nzKJdtK1ZkkXD2kjCz8PW/7opzWZ7pRSN29fntvtapVviNi8qVrZIqroFBpOBiELhlK5ckq5P3cGHq9+gQdu6FCxWgMYdGnDP0M7Uubmm3+GIZquZ6EOnePHON/n9+xW43alLHIucQa70RZ63al8Mz/ywmQuJTt7oXpcHWtwgY+/zuBIVimE0GXG7Uicfk8WELcLKoI8eoWzV0rTo2pRfv/qDwzuOcfpITJqz9uUViXGJdHmsPUu/+Quj2URifCLa7cHlcBF/7hLFyxXlhQ5v4kh0eK/ij8Wwadk23ljwAt2evpOFny29clKlDAqn3cnh7cc4vP0YO1bv5q9Zq3ljwYvyOcuBpCOfyLOcbg8f/LaXz5YfoGqJSCb2aUTtMgVDHZbIBlF7T/Bk4xEpxvCDd6753iPvpuuTHSlcotCV5Wejz9Hvhqf8niSgyNXlewOpeVNVXp71DI/WfRZ7YnD3OMpVL8PXu8ezcu5a5k9YxL6Nh1L9jsFb2e//5o+gcbsbMztsEYCM0xf52rHYBO6bvIZP/zpA75sqsGDwzZLw85HyNcoyasZwChSNJKyADWu4hco3VuTL7R/w4Cu9UiR8gPnjf8HjCdCpLw8mfIC9Gw4ypu/4oBM+eCc1SrqUxC33tqTboDv9nyThnbZ3w5LNmRWqyETSvC/ynF+2RvPivK2gYVLfRtxVv2yoQxIh0LJrU2af/JJD249ii7BRvnqZK+sS4hL5a9bfnDp8mhpNq7Jlxc6Qj73Pblprdq/dl6HneNxu3u3/MYWKFeTo7uMByw0bTUYKFpMCVzmRJH2RZyQ63IxeuIMZ647RsEJhJvZpRIWiUjI0PzOajFRrWBnwJvoNSzZz6vAZpr81D5fTRdIlOwajwuPOXwn/WmkNq+b+gzKoNCsBGoyK9g/ckn2BiaBJ0hd5wu6TFxkyfRP7z8Tz1G1VebZDDcxGuXuVH61bvImFny0lIT6R2+67mY6P3MamZdt4874PMBgNJF5KSnFVLwk/47RHp3nX464nOvLL579T+caKtOp+EyazpJqcQjryiVxNa833/xzlzYU7KRhm5sP7GtK6evFQhyVCZMpL0/hx4uIrPcstNjOV6lXgyM6obCtVm5+YLCa01ph93wHMNjNuh5vE+CTCIm0UKV2YCX+PuTJqwmg0hjjqvEnK8ErSz/POJzh4Ye5Wluw4xa01SvD+fQ0oHpn/xlwLr5jjZ3mo2pBU0+0q5U1OaRXqEdcmvGAYgycOxOP2EF4wnJ8mLWbbip0pigUZDAqzzYLL4cJsNdHt6TsZ8GYfjCZJ/plJyvCKPG394ViGzdjEmXg7ozrXZmDryhiklG6+tnX5Tr9ldbX2lokVqSmlrqsugdFk5Lb7W2G2mHE6nLx5/wepqgN6PPrKsD63y81PkxbjTHIy6KP+1xW7uDZy01PkKm6PZsKyfdw/eQ1mk4G5T7XisVuqSMIXRBaJDDiELK8Ou7te15LwwyJthBcMo0CRCN5ePAqzxQx4TyAI4mNoT3Dwyxe/k3gpY7MbiswhV/oi1zh5IYnhszax9mAsdzcsyxt316OAzRzqsEQO0ahdvYDrlFJYwswZvq9vtpoxW00kXEy83vByl8vJO9k5gS3cytilLxNz/BxhkTYatat3JeEDmMwmmrSrz7+/b013IiODQXHhzEXCImRmy+wmV/oiV/h95yk6jV/B1qgLjOvVgA/vbygJX6Rgtpip0bSq33VN72jI0E8ey/B95GadGzL96Gd8suGd/FejP1nCVwbF8MmPU7dVLW7t1ZJmnRqlSPiXPfvlkxQrW4SwAjaMJgOGACNolFIULVMkqyIXaZArfZGj2V1u3l60m6l/H6Zu2YJM6NOIqiWk6Ifw74VvhzC05UvYE+24HG7MNjO2cCtPT+hP/LlLWMLMJMYFPxnMukWb6F3ucdo9eAthkbY0J/HJU65q9dcezZ8zV3N73zZp1tMvXq4Y3+ybyNqf/+X4vmisEVamjJyWooXFGm6l3yv3YrHKSXsoSO99kWMdOBPPkOmb2Bl9kf43V+LFTrWwSo9f4ePxeFjwyRLmfPAzcbHx3NimNo+98wCFShRk0ZfLOLDpENWbVKXzo+0oWKwAbpebniUHcOl8wjW9nsliCliBLl9QULVBJd5ePIoipQoH/bTd6/bxxYjv2bfxIEVLF6bvqJ50eOhWmYwnk8mQPUn6uZbWmjn/RvHagh1YTQbG9WpAu9qlQh2WyGE++983LJz825We4UqBLTKMyZvfo0xl/38vA+sO5+iu49kZZp5iNBmp3bIGHy4fHepQxFVkwh2RK8UlORk+azPPz9lK/fKFWDzsFkn4IpWLsXH8/OmSFDO8aQ32BDuThkxh59q9fifQOXHgVHaGmW06PnJbtryO2+Vm7/r9xJyI5eju43z54vd89ORk1i78N/CERSJHkXv6IsfYcuw8Q2du4lhsAv/rUINBbathlKF4wo+ovdGYrWYcSSkL8XjcHtb/upltK3ZRoGgkY5e8TIWa5dBaM/OdH/Ns8/yfM1YRFmkjMT7rh8EZTEZ+/24534+eg8vpxu1ys2zaKm5sU4s3fn5RKu7lcHKlL0LO49F8seIgPT/9G5db88MTLRnSrrok/Hzk6O7jbF+9O+ix2yUrFk+V8C/THk1ifBKnj8Ywov1o3G43i6csY9qbczMz5BzFaXdlaIrcYBjNRr+jHcwWE9/932zsiY4rdRGSLiWxbeUuVs5Zm6kxiMwXkqSvlHpdKXVcKbXZ99U5wHZ3KqX2KKX2K6VezO44RdaLibfTf+p6xizaRbvaJVk0tA1NKxUNdVgim8SciOWpJiMY1HQEo7q8Ra9Sj/LTx4vTfV7xskVp3qUxlnSGbcYcj6VXqUeZ8tL0FLcC8iKP24PZYqJC7XIYTNf/r714uaIUKV0IS5j3d2wwGrCGW+j6ZAdMltSNxEmX7Pw5c/V1v67IWqFs3v9Qaz0u0EqllBH4GOgARAHrlVILtNY7sytAkbVW7YvhmR82cyHRyZt316Nf84rSozefeaXrWA5uPZKimMsXL0yjUt2KNLitbprPHfn9UD4e9jW/f7cch90ZsOpeXGx8ULEYTcbAFf1yCbPNzOAJA2l0ez26FnjguiYZSopPovvgTpjMRjb+vo3SlUpw99DOXIiJ48dJv/p9jjU8n9UyyIVy8j39ZsB+rfVBAKXUTKA7IEk/l3O6PXzw214+W36AaiUi+W5gM2qVLhjqsEQ2O7IrimN7jqeq3mZPsDNv/C/pJn2LzcIzk59g8MQBLPzsN74aNf26xtFXqF2WoztTx5ObJFxMZN2vG/n16z9wXGdz/4WYOGa9+yNNOjbgvWWvXVnucrr8NvvbIqx0frTddb2myHqhvKc/WCm1VSn1lVLKX2mmcsCxZD9H+Zb5pZR6XCm1QSm14cyZM5kdq8gkx2ITuG/yGj796wC9b6rIgsGtJeHnU3Fn4wJWyIs9eT7o/ZgtZro83p7yNcpeaYq+Fkd2RgWV8A1GAxGFwq/5dbLa3PcX8uf0VWTGaGx7goMNS7ZweMd//4pNZhNvLhxJRKFwwguEYYuwYrGZ6TG8Cw3bBi6FLHKGLLvSV0r9DpT2s2oU8CnwBt4GuTeA94EBV+/Cz3MD/hlrrT8HPgfvOP1rCFlksYVbTzBy7jZQ8HHfxnSpXybUuc1bwgAAIABJREFUIYkQqtqwEm5n6uZ0i81Mi7saZ2hfFpuFj1a9wdJvlvPJ8K/99tKvUKscifGJxETF+t2Hdqf/b+OuJ9ozeNKjLJz8G5MGT8lQjLmVUoo96/dTqW6FK8vqtKjBrBOfs27RJi5dTKRxu3qUrFgihFGKYGVZ0tdatw9mO6XUF8BCP6uigArJfi4PnMiE0EQ2S3S4+b+fdzBz/TEaVSzMhN6NqFA0514piewRFhnGo2P78eXI/zrZWWxmCpcqRPenOwFw4sBJvhjxPRuXbSUsMoy7B99Jr+e6+W0hsIZZ6fpkR8xWM5OGfJmy9GuYhcETBlCtcWUGNx/J6SMxGb5/rwxQunJpnHYXX77w/XUcee7iSHJgDbdwcOsRKtQqe6XmvjXMSpueLUIcnciokFTkU0qV0VpH+x4/AzTXWve+ahsTsBdoBxwH1gN9tdY70tu/VOTLOXafvMjg6Zs4cCaep26tyjMdamAOMAmHyJ82/7mdeR/9QuzJ87Ts1oTuT3cisnAEsSfPMbDuM1y6kID2zdFuDbfQpkcLXvh2SKr9XLqYwMfDvuKvmatxOlxYbBa01txQuzyPvfMANZpWZdW8f4iLjcdgMhB/7hLfvzEnQ7H2er4bLruTHyf+el3z0Oc2JrMRs82MUopBH/XnjkfahjokcZVgK/KFqiPfu0qphnib6w8DTwAopcoCX2qtO2utXUqpwcASwAh8FUzCFzmD1prv1x7hjV92USjMzPcDm3NzteKhDkvkQA3b1vN7L3jBx79iT7BfSfjgvce8fM4a+r/ZO0VzstaaF+94k/2bDl1p2ncmOYgoFMHbv47i8PZj9KnwBOCtKmcwGGj34C2Uq16a4/tOBh3r2gUbOHXkTL5K+AAupxuX71bMxMFfUq5aaeq1rh3iqMS1CEnS11o/GGD5CaBzsp8XAYuyKy6ROc4nOHhh7laW7DjFbTVLMK5XA4pHylAekTE7/t6L05763rzFaubwjqgUSX/P+v0c3n40xb18rcFhd/LL5N+Y/f7PqXr2//7tcu57vjuzxy1IUdjGbDGhtb6S5JI7tidv3GE0W024XW48QfRjuJo9wcHs93+WpJ9LSTuryFTrDsXSefxK/th9mpe71Oarh2+ShC+uyQ11y/u9d+9yuChduSTgHfb33ejZzBz7Y4oWgcsciQ42/bHNb698R5KTNQs3MHrBi9RuXp3IIhHUbl6d56c+jTLk7X+NrXu2uK5jPH00JhOjEdkpJ4/TF7mI26OZ9Md+xi/bS8Wi4cx9qhX1ywc//aYQV7tnaGeWfP1nig53ZquJ2i1qULFWOWa/v4Cpr87C7XTj8Xj8Jn1rmIWy1cqwY/Uev69xaOtR6rWuxYQ1b6VYPueDhezdcCBzDyinUFDzpqqsX7yJ+HOXUq0uWKwASimMFhMXTl9I1eHRbDXR9I4G2RWtyGR5+3RWZIvoC4n0/WItH/6+l+4Ny7FwaBtJ+OK6latWhrFLXuGGuhUwmoyYLSZuubcl//fjCE4ePs3UV2bi8NV/95fwDQaFNdzKQ6/fh9vlf/y9yWzkxP7U9/R7DO+cKaVscyQNO1btpu+oHqkq6FnDLIycNow5p6cwK2oy/cf0wZZsG5PZSGThCHo+c1d2Ry0yiVzpi+vy285TPD9nCw6Xh/d7NaBnk/KhDknkIXVb1eTLbR+QEJeI2Wq6Mlzs16/+8F98RnnvyYOiSYf6DBrfn+Jli1KxTjmO7IhKtbnHoylUInVxqFbdbvJbKCSzGQwGDCYDbqcrU4rpBGvl3H84tO0oj7/3ADPenk9s9HnKVS/DE+MeomnH/67i73++OxVrlWPO+z9z7vQFbrqzIfeP6E7hEoWyL1iRqSTpi2uS5HQzdvFupv59mLplCzKxTyOqlIgMdVgijwovEJbiZ4PRgPIzC6PRZOSBV3vRd2SPFMsfe+dBRt/7Po6k/zrsmSwmmnZsQJGSqRNYWGQYN7apw+Y/t2fSEfjn8Xi479lu3FCnAu88PDGN8mP+la5Sko4P38b88YuCnmPgsqi90YRFhDHj6OQUy08fPUP0odPcUKc8hUsUomXXprTsmu5IMJFL5NH2K5GVDpyJp8cnfzP178MMuLky8wa1koQvskTsyXO8/cB4uhV6kHuKPsKkoVNIjE+k9T3N8HdpbDQaueXelqmWN+/cmMfefQBbpI3wAmGYrWaadKjPi98PDfjad/Rviy0i6zuhzv3wF265twUdHrwVozn4uejNVhP3DO7Mg6/0onyNstf02p8+O5WLZ+MASEqw80q3sfSvNYzX7n6Xvjc8xYSnv8Djyb1zEYjU5EpfBE1rzZx/o3htwQ5sZiNTHm5Ku9qlQh2WyKOSEuw83Wwk506ev9KZbNEXy9i9bj8T17zFkI8fZeLTX6KU8l4ga82j7/SjfHX/5Z3vHtyJzo+2I2pvNIVLFqRoaX9Tfvznll4tmT1uAYd3HMvSSXiUQTG8zSsc3RWFRwf/OkaTkQLFvCfb5WuWZdfavRl+7fjzl3jjvg94b9lrTBoyhY2/b8WR5MSR5ARg6TfLKVe9DD2Hyz38vCIkFfmymlTky3xxSU5e/nE7P20+Qcsqxfiod0NKFbSFOiyRh/369Z98PHRKqvH1tkgbYxaOpP4tdYg5Ecuan9bjdnto1a1pptd/T7yUxHv9P2blnLXXtgNFuk32RpMRZVB+5wtIiyXMzJxTUwiLDGPfxoMMaTHSf4fFdGIw28x8tfMjBtQZjtOX7JMrWbE40w5/mqHYRPbL6RX5RC6y5dh5hszYxPHziTzXsQZP3VYNo5/7qUJkpv0bD/idKtfjcnNo21Hq31KH4mWL0vWpO67rdZwOJ6vmrWPH37spXbkkHR+6jYLFCgAQFmHjxW+HcHj7MaIPncLlKxZktppx2lMnyFSCuKbK6BwAl9VuUYOwyDCSEuycPXGOtr1v5s+Zf/vdnzXckmIuguRMZiNnT8TiCTDCIf586mF9IveSpC8C8ng0X646yLu/7qFUQRuzHm9B00pFQx2WyCcq1q6ALcKaKvEbzUbKBWjCz6hLFy4xtNUozhw7S2J8EtYwC9++/gPPfP4kNZtWpWzV0lhsFiaufYs5H/zM8ll/Y4uw0W3QHUwaNgX7peubs/5aKYOiTJVS/L1gPW/3G4/BN5+F0WhAa0/KSnvaO1Ne/dvqsn3VrlTJXSlF9SZVKV2pBMevGr6olKLBrXWz/HhE9pGkL/w6E2fnf7O3sGLvGTrVK83YHvUpFH7tc5ULkVHt+rXmm9dmYk9wXKl1bzQZKVamCI3b35gprzFtzDyiD566Uu73cjnet/uOx2w1UbRMEZ58/2Fadb+Jh1+/n4dfv//Kc1fOW8u6RZuu6XWVUQU1lW8gFpuZNj2aM/re91OUEA4k6ZKd4mWLULBoAS5duITT7kIpsIRZGTS+PxarmWGfPc4r3d7BaXficXswmU1Ywy089u4D1xynyHnknr5IZeW+MzwzawtxSU5euasO/ZpXRClpzhfZL2pfNB8+/hnbV+1GKUXzLo0ZPvkJv8PsrkW/Sk+lW1JWKShdpRTvLH2FMpX/67j6zy//8urd72ZpJ7/LwguFg0eDAqfDxSOj7+fA5iP8NWtVUPXzreFWBr7Vh9t6t2b++F/YsGQLJSsW495nu6aooX94xzF+GPcTR3dGUadlTe79X1dKVpCJsnKDYO/pS9IXVzjdHt5fupfPlh+geslIJvVtTM3SBUIdlhA4HU4MBoPfWvzX4/7yjxN74lz6GyqoULMcU3Z8eOUE2O1y07vc45w/c9HvUwwmQ8D75H63NxoCnkC0e6ANHR68lYS4JCrWKsvITmM4d+pCwM5/BoPC46tSqJQisnA43+yfRIEiGR9au2HpFua8v4DY6PPc1KkRvZ7rKsV5cqBgk76M0xcAHItNoNdna/hs+QH6NKvIgsGtJeGLHMNsMWd6wgco4qcan18azhyL4fD2o1cWGU1G3v71ZQoVL0h4gTDCIm0YjAaKlinCzXffxKuzn8tQC5n2aMIK+B8Rs33VbhreXo82PZrz/RtziI0+FzDhW8Is1G9b11vASCnK1yzDe3+8dk0Jf974hfxfj/f497etHNp+lHnjf+HxBs9x/syFDO9L5AxyT1/w85YTvDRvGyj4uG9jutTPnE5SQuR0JW8owYEtR4La1mA0EH8+IcWyao0qM/P4ZLb8tYOEi4nUv7UOhYr/dyLx8Oj7mfrqzKB68VvCzH6HzAHERp9j4eTf6D7oTtb8/G/AuQSs4RZu79OGEwdOYrGZcdpdxETF8kKHN/lgxWgq1ioX1LGCd7jiV6NmYk/4ryOly+Ei/lw8cz/8hYFv9Q16XyLnkCv9fCzB4eKFOVsZMmMT1UtFsmhoG0n4Il9p17dN0FX3PG4P1ZtUSbXcZDbRpEMD2vRskSLhA/Qb1ZMRU5+mSKn0m8PtCQ5uvMX/HPVOu4ufP1kCQKBbskopXpn9HGWqlGT3P/tIumTH7XKTGJ/ExbNxjOn9YboxJHdo21GMfiYdctpdrP/12jowitCTpJ9P7Yq+SNeJq/jh32M83bYqs55oSYWi4aEOS4hs1bpnc+rfWgdbpLdZ3Wg2eovlGNV/tf2V9wp60Pj+KWacC1aHB2/jh+gvWZQ0HbM1cOOqLcJK8y5Nsdj8j5JJSrDjcroC3vcvV6MMzTs1YsnUv1L16Ndac2zvCWKOnw067iIlC+Fy+q8hULycDN3NraR5P5/RWvPd2iO8+csuCoeZ+X5gc26uJr1zRf5kNBp5Y8GLbFiyhTUL1hNZJIKOD99G8fLFWPL1n6z9eQNFyxSh26A7qNWs+nW9ltlipmaz6mxfucvvenuCg0a316VQiYKcOXb2queaaN2jOUd3HcdkMfq9n699NfID1cpXcKVzXzDKVClF9UaV2bN+f4rkbw23cu+zXYPej8hZJOnnI+cTHIyYs5WlO0/RtmYJxvVqQLHIrJ9QRIiczGAw0KxTI5p1apRi+d2DO3H34E6Z+lpmS+DOiFprpr46ixe+HcLLd72Ny+nG5XBhi7BSuGQh+r7Ug8S4pIAjAgr5etS3f+AWZr3z45X6+ZeVqlQiw8PvXp//PP/Xcxx7NxzAZDHh8WieGPcQDdvWy9B+RM4hST+fWHcolmEzNxETb+flLrUZcHNlDFJKV4gscWRXFJ8//y3bVuwisnAEPZ/pwj3DugQshXvZlr92MPrHF/hy+4csnLyU6AOnaNC2Hu0fvIWwCBsFixagSoNK7N1wIEUzvy3CSo9hXQDo9Vw31i78l6g9J0iMT8IWbsVoNvLS9OEZPo7CJQrx4Yo3OHXkDOfPXKRS3fJYw+RCITeTcfp5nNujmfjHPiYs20fFouFM7NOYG8vLGFshssqpI2d4vMH/SIxLvDL7rzXcSseHb6VMlVJ8/crMgL30S5QvxvSjn6W5/5gTsYy8401OHj6NwWjA5XDRY1gXBrzV978aAm436xdvZtfavZSoUJy2vVsRUSgiU49T5Cwy4Y4g+kIiw2du5p9DsfRoVI7Rd9cjMo2OREKI6zfrvR9JjE8i+fWUPcHOkq//ZMrOD1ny9Z8c23MiVYc8a7iVe4Z1Tnf/xcsW5fOt77N/0yFiT56nRtOqqSoUGo1GWtzVhBZ3NcmUYxJ5h2SAPOq3nad4fs4WHC4P7/dqQM8m5UMdkhD5wsq5/6D9dJgzGA3ERMUyad1YFn3+G9Pfnkdc7CWsYRbcLje3921Nj+FdgnoNpRTVG6cePihEeiTp5zFJTjdjF+9m6t+HqVu2IBP7NKJKiYxX4hJCZJw90c7FmDj/6xIclLyhBLZwKz2G30WP4XcRffAUJw+fpmLt8hQrUySboxX5kST9POTAmXgGT9/EruiLDLi5Mi90qok1C0qXCiH8uxATh9Fs9DuW3mQxUrJCceyJdi5dSKBwyUKUqVKKMlVK+dmTEFlDkn4eoLVm9r9RvPbTDsIsRr56pCm315J/JEJkt6KlC2O2mPx21KvbqiYfPPYZy6atACCiUDiDPurPbfffnN1hinxMKvLlcnFJTobN3MyIOVtpWKEwi4e1kYQvRIiYzCYefLVXqsp91nALZquZZdNX4Ehy4khycu7UBcYN/IQty3eEKFqRH0nSz8U2HztPlwmr+GVbNM91rMH3jzanVEH/s3QJIbLHvc92Zegnj1GuWmlsEVbqta7F6/OeZ/OfO3AkpmwBsCc4mD5mXogiFfmRNO/nQh6P5ouVB3lvyR5KFbTxwxMtaHKD1MIWIqfo8NCtdHjo1is/H95xDJPFiNOeutk/+tCp7AxN5HOS9HOZM3F2/jd7Cyv2nqFTvdKM7VGfQuH+J+gQQuQMZaqUDDiMr07LmiGISORX0ryfi6zYe4ZO41fyz8GzjLmnHp/0aywJX4hcwBpmpd/LPVPc61dKYQ238MDLPUMYmchv5Eo/F3C6PYxbuofJyw9So1Qk0x5tTs3SBUIdlhAiA3q/cA8lKxRnxtj5nDt5njqtajLwrb6Ur1HW7/ZulxujDLkVmSwktfeVUrOAy21ahYHzWuuGfrY7DMQBbsAVTF1hyFu194+eTWDIzE1sOXaevs0r8kqXOoSlMVOXECJ3+/XrP/j65ZnERp+jaOnCPPJmbzoNaBfqsEQOl6Nr72ut77/8WCn1PnAhjc3baq1jsj6qnGfBlhOMmrcNFHzSrzGdbywT6pCEEFlo6bd/MWnIV9gT7ADEnjzPx0O/xmA0cMfDbUMcncgLQnpPX3mnhLoPmBHKOHKaBIeLEXO2MHTGJmqULsDiYW0k4QuRD0x9ZdaVhH+ZPcHON6/MClFEIq8J9T39NsAprfW+AOs1sFQppYHJWuvPA+1IKfU48DhAxYoVMz3Q7LIr+iKDp2/kYMwlBretxvD21TEZpb+lEPlBzPGzAZbHorW+MnWuENcqy5K+Uup3oLSfVaO01j/5Hvch7av8m7XWJ5RSJYHflFK7tdYr/G3oOyH4HLz39K8j9JDQWvPd2iO8+csuCoeZmTawOa2qFQ91WEKIbFS6UkmiD6Yet1/qhuKS8EWmyLKkr7Vun9Z6pZQJ6AEEnPBZa33C9/20Umo+0Azwm/Rzs/MJDp6fs5Xfdp6ibc0SjOvVgGKR1vSfKITIUwa+3Y/3HpmEPdFxZZk13MLAt/uFMCqRl4Syeb89sFtrHeVvpVIqAjBoreN8jzsCo7MzwOzwz8GzDJ+1mZh4Oy93qc3A1pXljF6IfOrWXi0xGA1MeWkaJw+dpnSlkgx8qy9terYIdWgijwhl0u/NVU37SqmywJda685AKWC+LwGagOla61+zPcos4vZoJv6xjwnL9lGxaDjznrqZG8sXCnVYQogQa9OjOW16NA91GCKPClnS11o/4mfZCaCz7/FBoEE2h5Utoi8kMmzmZtYdiqVHo3KMvrsekdZQ96kUQgiR10mmyWZLd5xkxNytOFwePrivAT0alw91SEIIIfIJSfrZJMnp5u1Fu/hmzRHqlSvIxD6NqVw8ItRhCSGEyEck6WeD/afjGTJjE7uiLzKwdWVG3FkTq9TUFkIIkc0k6WchrTWzN0Tx2oIdhFmMfP3ITbStVTLUYQkhhMinJOlnkYtJTkbN387PW07QskoxPurdkFIFbaEOSwghRD4mST8LbD52niEzNnLifBLP31GTJ2+titEgY++FEEKEliT9TOTxaD5feZBxS/ZQqqCNH55oQZMbioY6LCGEEAKQpJ9pzsTZefaHzazcF0OneqUZ26M+hcLNoQ5LCCGEuEKSfiZYsfcMz/6wmbgkF2PuqUffZhWllK4QQogcR5L+dXC4PLy/dA+TVxykRqlIpj3agpqlC4Q6LCGEEMIvSfrX6OjZBIbM3MSWY+fp27wir3SpQ5hFxt4LIYTIuSTpX4MFW04wat42lIJP+jWm841lQh2SEEIIkS5J+hmQ4HDx+oId/LAhiiY3FGF874aULxIe6rCEEEKIoEjSD9LOExcZMmMjB2MuMbhtNYa3r47JaAh1WEIIIUTQJOmnQ2vNt2uOMGbRLgqHmZk2sDmtqhUPdVhCCCFEhknST0OS082QGZv4becp2tYswbheDSgWaQ11WEIIIcQ1kaSfBqvJgNVk4OUutRnYurKMvRdCCJGrSdJPg1KKiX0aSbIXQgiRJ0hPtHRIwhdCCJFXSNIXQggh8glJ+kIIIUQ+IUlfCCGEyCck6QshhBD5hCR9IYQQIp+QpC+EEELkE5L0hRBCiHxCkr4QQgiRT0jSF0IIIfIJSfpCCCFEPiFJXwghhMgnJOkLIYQQ+YTSWoc6hkynlDoDHMnEXRYHYjJxf6GUV44lrxwHyLHkVHnlWPLKcYAcS1pu0FqXSG+jPJn0M5tSaoPWummo48gMeeVY8spxgBxLTpVXjiWvHAfIsWQGad4XQggh8glJ+kIIIUQ+IUk/OJ+HOoBMlFeOJa8cB8ix5FR55VjyynGAHMt1k3v6QgghRD4hV/pCCCFEPiFJ30cp1UsptUMp5VFKNb1q3Uil1H6l1B6l1B0Bnl9ZKfWPUmqfUmqWUsqSPZGnzRfLZt/XYaXU5gDbHVZKbfNttyG740yPUup1pdTxZMfSOcB2d/rep/1KqRezO85gKKXeU0rtVkptVUrNV0oVDrBdjn1P0vs9K6Wsvr+9/b7PRaXsjzJtSqkKSqk/lVK7fJ/9YX62uU0pdSHZ392roYg1GOn9vSivCb73ZKtSqnEo4kyPUqpmst/3ZqXURaXU8Ku2ybHvi1LqK6XUaaXU9mTLiiqlfvPlh9+UUkUCPPdh3zb7lFIPZ0mAWmv58t7iqA3UBP4CmiZbXgfYAliBysABwOjn+T8AvX2PPwOeCvUx+YnxfeDVAOsOA8VDHWMasb8OPJfONkbf+1MFsPjetzqhjt1PnB0Bk+/xO8A7uek9Ceb3DAwCPvM97g3MCnXcfo6jDNDY97gAsNfPcdwGLAx1rEEeT5p/L0BnYDGggBbAP6GOOYhjMgIn8Y5BzxXvC3AL0BjYnmzZu8CLvscv+vvMA0WBg77vRXyPi2R2fHKl76O13qW13uNnVXdgptbarrU+BOwHmiXfQCmlgNuBOb5F3wB3Z2W8GeWL8T5gRqhjyULNgP1a64NaawcwE+/7l6NorZdqrV2+H9cC5UMZzzUI5vfcHe/nALyfi3a+v8EcQ2sdrbXe6HscB+wCyoU2qizVHfhWe60FCiulyoQ6qHS0Aw5orTOz2FqW0lqvAGKvWpz88xAoP9wB/Ka1jtVanwN+A+7M7Pgk6aevHHAs2c9RpP7HUAw4n+wfub9tQq0NcEprvS/Aeg0sVUr9q5R6PBvjyojBvmbJrwI0jwXzXuU0A/BeffmTU9+TYH7PV7bxfS4u4P2c5Ei+2w+NgH/8rG6plNqilFqslKqbrYFlTHp/L7nx89GbwBcqueV9ASiltY4G78kmUNLPNtny/pgye4c5mVLqd6C0n1WjtNY/BXqan2VXD3kIZpssE+Rx9SHtq/ybtdYnlFIlgd+UUrt9Z6zZJq3jAD4F3sD7e30D762KAVfvws9zQzI8JZj3RCk1CnAB0wLsJuTvSQA5/jOREUqpSGAuMFxrffGq1RvxNi3H+/qR/AhUz+4Yg5Te30uueU8AfP2iugEj/azOTe9LsLLl/clXSV9r3f4anhYFVEj2c3ngxFXbxOBtKjP5rmr8bZNl0jsupZQJ6AE0SWMfJ3zfTyul5uNtws3WBBPs+6OU+gJY6GdVMO9VtgjiPXkYuAtop3039PzsI+TvSQDB/J4vbxPl+/srROomz5BTSpnxJvxpWut5V69PfhKgtV6klPpEKVVca53j6r8H8feSYz4fQeoEbNRan7p6RW56X3xOKaXKaK2jfbdUTvvZJgpvX4XLyuPtY5appHk/fQuA3r7eyJXxnk2uS76B75/2n8C9vkUPA4FaDkKhPbBbax3lb6VSKkIpVeDyY7wdzbb72zZUrrr3eA/+41sPVFfekRQWvE2DC7IjvoxQSt0JvAB001onBNgmJ78nwfyeF+D9HID3c/FHoJObUPH1MZgC7NJafxBgm9KX+yIopZrh/Z95NvuiDE6Qfy8LgId8vfhbABcuNznnUAFbJ3PL+5JM8s9DoPywBOiolCriu33Z0bcsc4Wqh2NO+8KbSKIAO3AKWJJs3Si8vZX3AJ2SLV8ElPU9roL3ZGA/MBuwhvqYksU5FXjyqmVlgUXJYt/i+9qBtwk65HFfFe93wDZgK94PUJmrj8P3c2e8vbAP5MTj8MW4H++9u82+r8u93HPNe+Lv9wyMxnsiA2DzfQ72+z4XVUIds59jaI23+XRrsveiM/Dk5c8LMNj3+9+Ct9Nlq1DHHeBY/P69XHUsCvjY955tI9kopZz2BYTjTeKFki3LFe8L3hOVaMDpyykD8fZnWQbs830v6tu2KfBlsucO8H1m9gP9syI+qcgnhBBC5BPSvC+EEELkE5L0hRBCiHxCkr4QQgiRT0jSF0IIIfIJSfpCCCFEPiFJX4g8SCnlvmqmskpKqaZKqQkZ2EdhpdSgNNYPVd4Z6gJVFExr35WUUn0z+jwhxPWRIXtC5EFKqXitdWSQ216uJHn18kp4ZzKrF+B5u/HWrTh0DfHdhnfWxLsy+Dyj1tqd0dcTQnjJlb4Q+YRvDvKFvsevK6U+V0otBb5VStVVSq3ztQpsVUpVB8YCVX3L3rtqX5/hLQizQCn1jK8i3FdKqfVKqU1Kqe6+7SoppVYqpTb6vlr5djEWaOPb9zNKqUeUUpOS7X+h78QApVS8Umq0UuofvJOsNFFKLfdNLLNE5fyZ4oTIMfJV7X0h8pEwpdRm3+NDWut7/GzTBGittU5USk0Exmutp/lK6xrxzvtdT2vd8Oonaq2f9JUTbqu1jlFKvYW31O4ApVRhYJ1v0qHTQAetdZLvRGIG3ipkL5LsSl8p9UgaxxKBd27yV3218pcD3bXWZ5RS9wM/AZ7YAAABkUlEQVRjSD35khDCD0n6QuRNif6S9VUWaK0TfY/XAKOUUuWBeVrrfb7S5sHqCHRTSj3n+9kGVMQ7ocskpVRDwA3UyMhOfdx4J8UBqAnUwzuLHHhPTnJy/XghchRJ+kLkX5cuP9BaT/c1n3cBliilHgUOZmBfCuiptd6TYqFSr+Ody6IB3tuJSQGe7yLl7UZbssdJye7jK2CH1rplBmITQvjIPX0hBEqpKsBBrfUEvBMa1QfigAJB7mIJMCTZzGeNfMsLAdFaaw/wIN4rc/zs+zDQUCllUEpVwDstrD97gBJKqZa+1zErpeoGGaMQ+Z4kfSEEwP3Adl8/gFrAt1rrs8BqpdT2qzvy+fEGYAa2KqW2+34G+AR4WCm1Fm/T/uXWha2ASym1RSn1DLAaOIR39rdxwEZ/L6K1duCdqvcdpdQWvDPjtfK3rRAiNRmyJ4QQQuQTcqUvhBBC5BOS9IUQQoh8QpK+EEIIkU9I0hdCCCHyCUn6QgghRD4hSV8IIYTIJyTpCyGEEPmEJH0hhBAin/h/W0MGBidVJDAAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_hyperplane(X, y, w_trained, b_trained)" + ] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.9" + }, + "toc": { + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/principal_component_analysis.ipynb b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/principal_component_analysis.ipynb new file mode 100644 index 0000000..91554b9 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/principal_component_analysis.ipynb @@ -0,0 +1,622 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Principal component analysis (PCA)\n", + "\n", + "* [1. What is PCA?](#intro-pca)\n", + "* [2. Why do we need PCA?](#why-pca)\n", + "* [3. Key ideas of PCA?](#key-ideas)\n", + "* [4. Two ways of deriving PCA](#derivation)\n", + " * [4.1 Maximum variance perspective](#max-var-perspective)\n", + " * [4.2 Projection perspective](#proj-perspective)\n", + "\n", + "* [5. Interpreting the projection matrix](#interpretation)\n", + "* [6. Computing the eigenvectors](#comp-eigenvec)\n", + "* [7. Summary of important terminology](#terminology)\n", + "* [8. Implementation](#implementation)\n", + " * [8.1 Dataset](#dataset)\n", + " * [8.2 Standardization](#standardization)\n", + " * [8.3 Computing the data covariance matrix](#comp-cov-matrix)\n", + " * [8.4 Computing eigenvectors and eigenvalues](#comp-eig-vecs)\n", + " * [8.5 Choosing the number of eigenvalues](#num-eig-vals)\n", + " * [8.6 Constructing the projection matrix](#proj-matrix)\n", + " * [8.7 Projecting the data](#proj-data)\n", + " * [8.8 Plotting the transformed data](#plot-data)\n", + " * [8.9 Comparison to scikit-learn](#sklearn-comparison)\n", + "\n", + "* [9. Sources and further reading](#sources)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Link to interactive demo\n", + "\n", + "[Click here](https://mybinder.org/v2/gh/zotroneneis/machine_learning_basics/HEAD?labpath=principal_component_analysis.ipynb) to run the notebook online (using Binder) without installing jupyter or downloading the code.\n", + "\n", + "Sometimes, the GitHub version of the Jupyter notebook does not display the math formulas correctly. Please refer to the Binder version in case you think something might be off or missing." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. What is PCA? \n", + "\n", + "In simple terms, principal component analysis (PCA) is a technique to perform dimensionality reduction. It has been around for more than 100 years and is still heavily used. Although PCA is most often applied to find a lower-dimensional representation of data, it can also be used for other purposes, e.g. to detect simple patterns in data. \n", + "\n", + "## 2. Why do we need PCA? \n", + "A lot of data is high-dimensional. Imagine patient data collected in a hospital. For each patient we can have hundreds or even thousands of measurements (blood pressure, heart rate, respiratory rate, etc.). Working with such data is difficult - it's expensive to store, hard to analyze and almost impossible to visualize.\n", + "\n", + "Luckily, many dimensions in high-dimenstional data are often redundant and can be expressed by combining some of the other dimensions. Also, the key part of the data is often contained in a more compact lower-dimensional structure. Consequently, we can simplify high-dimensional datapoints using dimensionality reduction techniques like PCA.\n", + "\n", + "## 3. Key ideas of PCA \n", + "- PCA finds a lower-dimensional representation of data by constructing new features (called principal components) which are linear combinations of the original features\n", + "- The new features are selected carefully: PCA looks for features that can summarize the data best without losing too much information" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Two ways of deriving PCA \n", + "\n", + "Let's say we have an i.i.d dataset $\\boldsymbol{X}$ with $D$ dimensions and a mean value of $0$:\n", + "$\\mathcal{\\boldsymbol{X}} = \\{\\boldsymbol{x}_1, ..., \\boldsymbol{x}_N\\}$, $\\boldsymbol{x}_n \\in \\mathbb{R}^D$. The data covariance matrix (which will be needed later on) is computed as follows:\n", + "\n", + "$\\boldsymbol{S} = \\frac{1}{N} \\sum_{n=1}^{N} \\boldsymbol{x}_n \\boldsymbol{x}_n^T$\n", + "\n", + "In PCA our goal is to find projections of the datapoints $\\boldsymbol{x}_n$ that are as similar to the original datapoints as possible but have lower dimensionality. We can approach this goal from two perspectives:\n", + "\n", + "1. Maximum variance perspective: We try to find a low-dimensional representation which maximizes the variance of the projected data.\n", + "2. Projection perspective: We try to find a low-dimensional representation which minimizes the average reconstruction error between the original data and the reconstructed data.\n", + "\n", + "Both approaches reach the same result." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.1 Maximum variance perspective \n", + "\n", + "In the maximum variance perspective PCA is derived as an algorithm that tries to find a transformation matrix $\\boldsymbol{B}$ which projects the original data $\\boldsymbol{X}$ to a low-dimensional space, ideally without losing information. Let's say that this low-dimensional space has dimension $M$. \n", + "\n", + "How can we make sure that we find a matrix $B$ that retains as much information as possible? It turns out that this is achieved when $\\boldsymbol{B}$ projects the data in a way that maximizes the variance of the data in the (new) low-dimensional space.\n", + "\n", + "Let's take a closer look at $\\boldsymbol{B}$. We can define $\\boldsymbol{B}$ as a collection of vectors $\\boldsymbol{b}_1, ..., \\boldsymbol{b}_M$:\n", + "\n", + "$\\boldsymbol{B} := [\\boldsymbol{b}_1, ..., \\boldsymbol{b}_M] \\in \\mathbb{R}^{D x M}$\n", + "\n", + "The vectors $\\boldsymbol{b}_m$ are called *basis vectors* and form the axes of the new $M$-dimensional space we project our data to.\n", + "\n", + "When deriving which vectors $\\boldsymbol{b}_m$ we should select to maximize the variance we will find that maximizing the variance is equivalent to selecting those vectors that belong to the largest eigenvalues of the data covariance matrix $\\boldsymbol{S}$. That means that we can construct our matrix $\\boldsymbol{B}$ by first computing the eigenvalues and eigenvectors of the covariance matrix $\\boldsymbol{S}$ and then selecting the $M$ eigenvectors with the largest eigenvalues.\n", + "\n", + "To be more precise: $\\boldsymbol{b}_1$ will be the eigenvector with the largest eigenvalue. In the context of PCA it's called the *first principal component*. $\\boldsymbol{b}_2$ will be the eigenvector with the second largest eigenvalue and is called *second principal component* and so on. \n", + "\n", + "If you are interested in the derivation take a look at chapter 10.2 of the book [Mathematics for Machine Learning](https://mml-book.com).\n", + "\n", + "Once we have found our projection matrix $\\boldsymbol{B}$ we can transform each data vector $\\boldsymbol{x}_n$ by multiplying it with $\\boldsymbol{B}$. This will give us a low-dimensional compressed representation of $\\boldsymbol{x}_n$:\n", + "\n", + "$\\boldsymbol{z}_n = \\boldsymbol{B}^T \\boldsymbol{x}_n \\in \\mathbb{R}^M$\n", + "\n", + "Using matrix multiplications we could represent the computation as follows:\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.2 Projection perspective \n", + "\n", + "Another way to derive PCA is to consider the original data points $\\boldsymbol{x}_n$ and their reconstructions $\\boldsymbol{\\tilde{x}}_n$. In this perspective we are trying to find reconstructions $\\boldsymbol{\\tilde{x}}_n$ that minimize the averaged squared Euclidean distance between the original datapoints and their reconstructions: $J = \\frac{1}{N} \\sum_{n=1}^{N}||\\boldsymbol{x}_n - \\boldsymbol{\\tilde{x}}_n ||^2$.\n", + "\n", + "You can find more details about this perspective in chapter 10.3 of the book [Mathematics for Machine Learning](https://mml-book.com)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5. Interpreting the projection matrix \n", + "\n", + "In the beginning I mentioned that PCA constructs new features (the principal components) that are linear combinations of the original features. Let's take a closer look at what this means.\n", + "\n", + "Each datapoint is stored in a vector with $D$ elements: $\\boldsymbol{x}_n = [x_{n1}, ..., x_{nD}]$. Each of the $D$ dimensions represents a different feature. For example, think of an image with $D = 64$ pixels. We can describe each datapoint as a linear combinations of the features: $\\boldsymbol{x}_n = x_{n1} \\cdot \\text{feature}_1 + x_{n2} \\cdot \\text{feature}_2 + ... + x_{nD} \\cdot \\text{feature}_D$\n", + "\n", + "Using the example of pixels this would correspond to:\n", + "$\\boldsymbol{x}_n = x_{n1} \\cdot \\text{pixel}_1 + x_{n2} \\cdot \\text{pixel}_2 + ... + x_{nD} \\cdot \\text{pixel}_D$\n", + "\n", + "When PCA projects the data to a low-dimensional space it also uses a combination of the features. This becomes evident in the projection equation we have seen above:\n", + "\n", + "$\\boldsymbol{z}_n = \\boldsymbol{B}^T \\boldsymbol{x}_n \\in \\mathbb{R}^M$\n", + "\n", + "In this equation we find the compressed representation $\\boldsymbol{z}_n$ of the datapoint $\\boldsymbol{x}_n$ by performing a matrix multiplication. The new, compressed representation of a datapoint $\\boldsymbol{x}_n$ will be given by a linear combination of all its features values. We can make this more clear when considering an example.\n", + "\n", + "Let's say our data matrix $\\boldsymbol{X}$ has 3 datapoints and 2 features, so $\\boldsymbol{X} \\in \\mathbb{R}^{3x2}$ and we consider only the first principal component when performing PCA. Hence we have $\\boldsymbol{B} \\in \\mathbb{R}^{2x1}$. When multiplying the data matrix with the projection matrix we receive the compressed versions of the datapoints as a matrix $\\boldsymbol{Z} \\in \\mathbb{R}^{3x1}$. Each one-dimensional code $\\boldsymbol{z}_n$ is given by a linear combination of the original feature values:\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6. Computing the eigenvectors \n", + "\n", + "By now we know that we have to compute eigenvalues and eigenvectors to perform PCA. We have to ways to do that: \n", + "\n", + "1. Perform an eigendecomposition of the data covariance matrix $\\boldsymbol{S}$\n", + "2. Perform a singular value decomposition of the data matrix $\\boldsymbol{X}$\n", + "\n", + "The standard approach (which we will use in this tutorial) is approach one. You can find more on approach two in chapter 10.4 of the [Mathematics for Machine Learning](https://mml-book.com) book.\n", + "\n", + "Note: in many applications we only need the first few eigenvectors. Performing a full eigendecomposition or singular value decomposition would be computationally wasteful. Therefore, most software packages implement iterative methods which directly optimize the required number of eigenvectors." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 7. Summary of important terminology \n", + "\n", + "- $\\boldsymbol{x}_n$ are our datapoints, stored in the matrix $\\mathcal{\\boldsymbol{X}} = \\{\\boldsymbol{x}_1, ..., \\boldsymbol{x}_N\\}$, $\\boldsymbol{x}_n \\in \\mathbb{R}^D$\n", + "- $\\boldsymbol{S}$ is the data covariance matrix \n", + "- $\\boldsymbol{B}$ is the projection matrix and consists of column vectors $\\boldsymbol{b}_m$: $\\boldsymbol{B} := [\\boldsymbol{b}_1, ..., \\boldsymbol{b}_M] \\in \\mathbb{R}^{D x M}$\n", + "- $\\boldsymbol{z}_n$ is the low-dimensional representation of $\\boldsymbol{x}_n$: $\\boldsymbol{z}_n = \\boldsymbol{B}^T \\boldsymbol{x}_n \\in \\mathbb{R}^M$" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 8. Implementation " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.datasets import load_digits\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 8.1 Dataset \n", + "\n", + "We will use the digits dataset from scikit-learn for our implemetation. It contains 8x8 images of handwritten digits (1797 in total). The data is stored in a data matrix with 1797 rows and 64 columns (corresponding to all 8x8=64 pixel values)." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape of data matrix: (1797, 64)\n", + "Shape of label matrix: (1797,)\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "digits = load_digits()\n", + "data, labels = digits.data, digits.target\n", + "\n", + "print(f\"Shape of data matrix: {data.shape}\")\n", + "print(f\"Shape of label matrix: {labels.shape}\")\n", + "\n", + "# Example image\n", + "plt.imshow(digits.images[42], cmap=\"gray\");" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 8.2 Standardization \n", + "\n", + "Before we can apply PCA we should standardize the data. If you are wondering why this is necessary [check out this explanation on StackExchange](https://stats.stackexchange.com/questions/69157/why-do-we-need-to-normalize-data-before-principal-component-analysis-pca). Standardization rescales the data to have mean zero and standard deviation one." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "mean = np.mean(data, axis=0)\n", + "std = np.std(data, axis=0)\n", + "# If values have a standard deviation of zero, the normalization step\n", + "# will contain a division by zero. To prevent this we replace standard\n", + "# deviations of zero with one.\n", + "std[std == 0] = 1.\n", + "data_norm = (data - mean) / std\n", + "\n", + "# We could also perform standardization using scikit learn\n", + "from sklearn.preprocessing import StandardScaler\n", + "data_norm_sklearn = StandardScaler().fit_transform(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 8.3 Computing the data covariance matrix \n", + "\n", + "To find the principal components we first have to compute the data covariance matrix $\\boldsymbol{S}$:\n", + "\n", + "$\\boldsymbol{S} = \\frac{1}{N} \\sum_{n=1}^{N} \\boldsymbol{x}_n \\boldsymbol{x}_n^T$\n", + "\n", + "We can summarize the summation as follows:\n", + "\n", + "$\\boldsymbol{S} = \\frac{1}{N} \\boldsymbol{X}^T \\boldsymbol{X}$" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "n_samples, n_features = data_norm.shape\n", + "cov_matrix = (data_norm.T.dot(data_norm)) / (n_samples)\n", + "\n", + "# We could also compute the covariance matrix with numpy (see code below)\n", + "# Note: the numpy implementation divides by n_samples - 1. This\n", + "# is known as Bessel's correction. Refer to the corresponding \n", + "# Wikipedia article if interested in more details.\n", + "cov_matrix_numpy = np.cov(data_norm.T)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 8.4 Computing the eigenvalues and eigenvectors \n", + "\n", + "To compute eigenvalues and eigenvectors we perform an eigendecomposition of the covariance matrix $\\boldsymbol{S}$. Doing this manually is messy and it's hard to do the computations correctly. Therefore, we will make use of numpy to get both eigenvalues and eigenvectors. If you want to learn more about how to perform an eigendecomposition take a look at the [Wikipedia article](https://en.wikipedia.org/wiki/Eigendecomposition_of_a_matrix#Numerical_computations).\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape of eigenvalue matrix: (64,)\n", + "Shape of eigenvectors matrix: (64, 64)\n", + "=====================================\n", + "Eigenvalue: 7.340688819618325\n", + "Eigenvalue: 5.832243185889725\n", + "Eigenvalue: 5.151093084500989\n" + ] + } + ], + "source": [ + "eig_vals, eig_vecs = np.linalg.eig(cov_matrix)\n", + "print(f\"Shape of eigenvalue matrix: {eig_vals.shape}\")\n", + "print(f\"Shape of eigenvectors matrix: {eig_vecs.shape}\")\n", + "print(\"=====================================\")\n", + "\n", + "# We want to find the eigenvectors with the highest eigenvalues. \n", + "# To do so, we use argsort which returns the indices that would \n", + "# sort the array of eigenvalues. Since we want to sort from largest\n", + "# to lowest value we need to reverse the order of the result\n", + "sorted_indices = np.argsort(eig_vals)[::-1]\n", + "\n", + "# Look at the first few eigenvalues to make sure that we sorted them correctly\n", + "for idx in sorted_indices[:3]:\n", + " print(f\"Eigenvalue: {eig_vals[idx]}\") " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 8.5 Choosing the number of eigenvalues \n", + "\n", + "In order to decide how many eigenvalues we want to use we should ask ourselves what our goal is. Remember that the number of eigenvalues that we select corresponds to the dimensionality of the new low-dimensional space we are creating.\n", + "\n", + "Most of the time, PCA is used to reduce the dimensionality of data. But at the same time we want to make sure that our solution is good, meaning that we don't lose a lot of information. Consequently, we should try to select the eigenvalues that explain most of the variance in the data.\n", + "\n", + "Typically, the first few eigenvalues capture most of the variance whereas later ones don't add much information. When using tools like scikit-learn we can specify how much variance should be explained by the solution so we don't have to choose the number of eigenvalues ourselves.\n", + "\n", + "In our case we can decide how many principal components to use by computing the *explained variance* of the individual eigenvectors." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sum_eig_vals = sum(eig_vals)\n", + "sorted_eig_vals = sorted(eig_vals, reverse=True)\n", + "explained_variance = [(eig_val / sum_eig_vals) * 100 for eig_val in sorted_eig_vals]\n", + "cumulative_explained_variance = np.cumsum(explained_variance)\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "plt.bar(range(len(eig_vals)), explained_variance, label=\"Explained variance\", color=\"red\")\n", + "plt.xlabel(\"Index of principal components\")\n", + "plt.ylabel(\"Explained variance in percent\")\n", + "plt.title(\"Variance captured by the individual principal components\")\n", + "plt.show()\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "plt.bar(range(len(eig_vals)), cumulative_explained_variance, label=\"Cumulative explained variance\", color=\"blue\")\n", + "plt.xlabel(\"Number of principal components\")\n", + "plt.ylabel(\"Cumulative explained variance in percent\")\n", + "plt.title(\"Cumulative variance captured by the principal components\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The upper plot shows that the first principal components explain more variance than latter ones. However, the amount of variance explained is not very high. Consequently, we would lose a lot of information when using only the first few principal components. The lower plot shows that we would have to keep 31 principal components to explain 90% of the variance. This is a lot but still better than keeping all 64 values.\n", + "\n", + "For the purpose of this tutorial we will keep only the 2 largest eigenvalues and their corresponding eigenvectors. This will allow us to visualize the result in two dimensions." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Eigenvalues shape: (2,)\n", + "Eigenvectors shape: (64, 2)\n" + ] + } + ], + "source": [ + "# Select only the number of eigenvalues / principal components that we want to use\n", + "n_principal_comps = 2\n", + "eig_vals = eig_vals[sorted_indices[:n_principal_comps]]\n", + "eig_vecs = eig_vecs[:, sorted_indices[:n_principal_comps]]\n", + "\n", + "print(f\"Eigenvalues shape: {eig_vals.shape}\")\n", + "print(f\"Eigenvectors shape: {eig_vecs.shape}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 8.6 Constructing the projection matrix \n", + "\n", + "After finding the eigenvectors/principal components we can arrange them into a matrix (our *projection matrix* $\\boldsymbol{B}$)." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape of projection matrix: (64, 2)\n" + ] + } + ], + "source": [ + "vector_list = [vec.reshape(n_features, 1) for vec in eig_vecs.T]\n", + "proj_matrix = np.hstack(vector_list) # This is our projection matrix B\n", + "print(f\"Shape of projection matrix: {proj_matrix.shape}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 8.7 Projecting the data \n", + "\n", + "In order to actually project the original data $\\boldsymbol{X}$ into the lower-dimensional space we multiply it with the matrix $\\boldsymbol{B}$:\n", + "\n", + "$\\boldsymbol{Z} = \\boldsymbol{X} \\boldsymbol{B} \\in \\mathbb{R}^{N x M}$\n", + "\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape of projected data matrix: (1797, 2)\n" + ] + } + ], + "source": [ + "data_proj = data_norm.dot(proj_matrix) # This is our compressed data matrix Z\n", + "print(f\"Shape of projected data matrix: {data_proj.shape}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 8.8 Plotting the transformed data \n", + "\n", + "With only two principal components we can plot the transformed data easily. One axis will correspond to the first principle component, the other axis to the second." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "labels_str = [\"0\", \"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\"]\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "scatter = plt.scatter(data_proj[:, 0], data_proj[:, 1], c=labels)\n", + "plt.legend(handles=scatter.legend_elements()[0], labels=labels_str, loc=\"upper left\")\n", + "plt.xlabel('Principal Component 1')\n", + "plt.ylabel('Principal Component 2')\n", + "plt.title(\"Compressed digit dataset with labels\")\n", + "plt.show();\n", + "\n", + "# Stackoverflow post to add legend: \n", + "# https://stackoverflow.com/questions/17411940/matplotlib-scatter-plot-legend" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 8.9 Comparison to scikit-learn \n", + "\n", + "In practice it doesn't make sense to perform PCA manually. Instead, we can use packages like scikit-learn. This simplifies the computation substantially. Let's apply PCA as contained in scikit-learn to the digits dataset and compare it to our solution. As visibile in the plot below, our implementation of PCA gives the same result as the scikit-learn version!" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.decomposition import PCA\n", + "sklearn_pca = PCA(n_components=2)\n", + "data_proj_sklearn = sklearn_pca.fit_transform(data_norm)\n", + "# The eigenvectors in scikit-learn will point into the opposite direction\n", + "# compared to our eigenvectors (in other words: they are flipped). This\n", + "# does not make a difference regarding the solution. However, to make \n", + "# sure that we get exactly the same plot we multiply the result by -1.\n", + "data_proj_sklearn *= -1\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "scatter = plt.scatter(data_proj_sklearn[:, 0], data_proj_sklearn[:, 1], c=labels, label=labels_str)\n", + "plt.xlabel('Principal Component 1')\n", + "plt.ylabel('Principal Component 2')\n", + "plt.legend(handles=scatter.legend_elements()[0], labels=labels_str, loc=\"upper left\")\n", + "plt.title(\"Compressed digits dataset with labels (sklearn version)\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 9. Sources and further reading \n", + "\n", + "The basis for this notebook is chapter 10 of the book [Mathematics for Machine Learning](https://mml-book.com). I can highly recommend to read through the chapter to get a deeper understanding of PCA.\n", + "\n", + "Another fantastic explanation of PCA is given [in this post on StackExchange](https://stats.stackexchange.com/a/140579). " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/simple_neural_net.ipynb b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/simple_neural_net.ipynb new file mode 100644 index 0000000..8978b29 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/simple_neural_net.ipynb @@ -0,0 +1,565 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Simple neural network in plain Python\n", + "\n", + "\n", + "This notebook implements a simple neural network architecture that can map $2$ dimensional input vectors onto binary output values. Our network will have $2$ input neurons, one hidden layer with $6$ hidden neurons and an output layer with $1$ output neuron. \n", + "\n", + "We will represent the architecture by means of the weight matrices between the layers. In our example, the weight matrix between the input and hidden layer will be denoted as $W_h$, the weight matrix between the hidden and output layer as $W_o$. In addition to the weights connecting the neurons, each hidden and output neuron will have a bias weight with a constant input of $+1$.\n", + "\n", + "Our training set consists of $m = 750$ examples. Therefore, we will have the following matrix shapes:\n", + "- Training set shape: $X = (750, 2)$\n", + "- Targets shape: $Y = (750, 1)$\n", + "- $W_h$ shape: $(n_{features}, n_{hidden}) = (2, 6)$\n", + "- $b_h$ shape (bias vector): $(1, n_{hidden}) = (1, 6)$ \n", + "- $W_o$ shape: $(n_{hidden}, n_{outputs}) = (6, 1)$\n", + "- $b_o$ shape (bias vector): $(1, n_{outputs}) = (1, 1)$ \n", + "\n", + "\n", + "![caption](figures/neural_net.png)\n", + "\n", + "\n", + "### Loss Function\n", + "\n", + "We will use the same loss function as in logistic regression:\n", + "\n", + "\\begin{equation}\n", + "J(\\boldsymbol{w},b) = - \\frac{1}{m} \\sum_{i=1}^m \\Big[ y^{(i)} \\log(\\hat{y}^{(i)}) + (1 - y^{(i)}) \\big(1 - \\log(\\hat{y}^{(i)})\\big) \\Big] \n", + "\\end{equation}\n", + "\n", + "For a classification task with more than two classes, we would use a generalization of this function, namely the categorical cross-entropy.\n", + "\n", + "### Training\n", + "\n", + "We will train our network with gradient descent and we will use backpropagation to compute the required partial derivatives. The training procedure has the following steps: \n", + "1. Initialize the parameters (i.e. the weights and biases) \n", + "2. Repeat until convergence: \n", + "2.1. Propagate the current input batch forward through the network. To do so, compute the activations and outputs of all hidden and output units. \n", + "2.2 Compute the partial derivatives of the loss function with respect to each parameter \n", + "2.3 Update the parameters \n", + "\n", + "### Forward Pass\n", + "\n", + "We start by computing the activation and output of each unit in our network. To speed up the implementation, we won't do this for each input example individually but for all examples at once, using vectorization. We will use the following notation:\n", + "\n", + "- $\\boldsymbol{A}_h$: matrix with activations of all hidden units for all training examples\n", + "- $\\boldsymbol{O}_h$: matrix with outputs of all hidden units for all training examples\n", + "\n", + "\n", + "The hidden neurons will have $\\tanh$ as their activation function:\n", + "\\begin{equation}\n", + "\\tanh(x) = \\frac{sinh(x)}{cosh(x)} = \\frac{\\exp(x) - exp(-x)}{\\exp(x) + exp(-x)}\n", + "\\end{equation}\n", + "\\begin{equation}\n", + "\\tanh'(x) = 1 - tanh^2(x)\n", + "\\end{equation}\n", + "\n", + "The output neurons will have the $\\textit{sigmoid}$ activation function:\n", + "\\begin{equation}\n", + "\\sigma(x) = \\frac{1}{1 + \\exp(-x)}\n", + "\\end{equation}\n", + "\\begin{equation}\n", + "\\sigma'(x) = 1 - (1 + \\sigma(x))\n", + "\\end{equation}\n", + "\n", + "The activations and outputs can then be computed as follows ($\\cdot$ denotes the dot product):\n", + "\n", + "\\begin{equation}\n", + "\\boldsymbol{A}_h = \\boldsymbol{X} \\cdot \\boldsymbol{W}_h + \\boldsymbol{b}_h, \\text{shape: } (750, 6)\n", + "\\end{equation}\n", + "\\begin{equation}\n", + "\\boldsymbol{O}_h = \\sigma(\\boldsymbol{A}_h), \\text{shape: } (750, 6)\n", + "\\end{equation}\n", + "\n", + "\\begin{equation}\n", + "\\boldsymbol{A}_o = \\boldsymbol{O}_h \\cdot \\boldsymbol{W}_o + b_o, \\text{shape: } (750, 1)\n", + "\\end{equation}\n", + "\\begin{equation}\n", + "\\boldsymbol{O}_o = \\sigma(\\boldsymbol{A}_o), \\text{shape: } (750, 1)\n", + "\\end{equation}\n", + "\n", + "\n", + "### Backward pass\n", + "\n", + "To compute the weight updates we need the partial derivatives of the loss function with respect to each unit. I won't give the derivation of these equations here, you will find plenty of good explanations on other websites (for example [here](https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/)). \n", + "\n", + "For the output neurons, the gradients are given by (matrix notation): \n", + "\n", + "$\\frac{\\partial L}{\\partial \\boldsymbol{A}_o} = d\\boldsymbol{A}_o = (\\boldsymbol{O}_o - \\boldsymbol{Y})$ \n", + "\n", + "$\\frac{\\partial L}{\\partial \\boldsymbol{W}_o} = \\frac{1}{m} (\\boldsymbol{O}_h^T \\cdot d\\boldsymbol{A}_o)$ \n", + "\n", + "$\\frac{\\partial L}{\\partial \\boldsymbol{b}_o} = \\frac{1}{m} \\sum d\\boldsymbol{A}_o$ \n", + "\n", + "For the weight matrix between input and hidden layer we have: \n", + "$\\frac{\\partial L}{\\partial \\boldsymbol{A}_h} = d\\boldsymbol{A}_h = (\\boldsymbol{W}_o^T \\cdot d\\boldsymbol{A}_o) * (1 - \\tanh^2 (\\boldsymbol{A}_h))$ \n", + "\n", + "$\\frac{\\partial L}{\\partial \\boldsymbol{W}_h} = \\frac{1}{m} (\\boldsymbol{X}^T \\cdot d\\boldsymbol{A}_h)$ \n", + "\n", + "$\\frac{\\partial L}{\\partial \\boldsymbol{b}_h} = \\frac{1}{m} \\sum d\\boldsymbol{A}_h$ \n", + "\n", + "### Weight Update\n", + "\n", + "$\\boldsymbol{W}_h = \\boldsymbol{W}_h - \\eta * \\frac{\\partial L}{\\partial \\boldsymbol{W}_h}$ \n", + "\n", + "$\\boldsymbol{b}_h = \\boldsymbol{b}_h - \\eta * \\frac{\\partial L}{\\partial \\boldsymbol{b}_h} $ \n", + "\n", + "$\\boldsymbol{W}_o = \\boldsymbol{W}_o - \\eta * \\frac{\\partial L}{\\partial \\boldsymbol{W}_o} $ \n", + "\n", + "$\\boldsymbol{b}_o = \\boldsymbol{b}_o - \\eta * \\frac{\\partial L}{\\partial \\boldsymbol{b}_o} $ \n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:22:31.321874Z", + "start_time": "2018-03-11T14:22:31.312073Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.datasets import make_circles\n", + "from sklearn.model_selection import train_test_split\n", + "np.random.seed(123)\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:22:32.591001Z", + "start_time": "2018-03-11T14:22:32.237574Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X, y = make_circles(n_samples=1000, factor=0.5, noise=.1)\n", + "\n", + "fig = plt.figure(figsize=(8,6))\n", + "plt.scatter(X[:,0], X[:,1], c=y)\n", + "plt.xlim([-1.5, 1.5])\n", + "plt.ylim([-1.5, 1.5])\n", + "plt.title(\"Dataset\")\n", + "plt.xlabel(\"First feature\")\n", + "plt.ylabel(\"Second feature\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:22:35.570737Z", + "start_time": "2018-03-11T14:22:35.559629Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape X_train: (750, 2)\n", + "Shape y_train: (750, 1)\n", + "Shape X_test: (250, 2)\n", + "Shape y_test: (250, 1)\n" + ] + } + ], + "source": [ + "# reshape targets to get column vector with shape (n_samples, 1)\n", + "y_true = y[:, np.newaxis]\n", + "# Split the data into a training and test set\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y_true)\n", + "\n", + "print(f'Shape X_train: {X_train.shape}')\n", + "print(f'Shape y_train: {y_train.shape}')\n", + "print(f'Shape X_test: {X_test.shape}')\n", + "print(f'Shape y_test: {y_test.shape}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Neural Network Class\n", + "\n", + "Some parts of this implementation are inspired by the exercises of Andrew Ng's [coursera course](https://www.coursera.org/learn/neural-networks-deep-learning)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:23:14.802406Z", + "start_time": "2018-03-11T14:23:14.494249Z" + } + }, + "outputs": [], + "source": [ + "class NeuralNet():\n", + " \n", + " def __init__(self, n_inputs, n_outputs, n_hidden):\n", + " self.n_inputs = n_inputs\n", + " self.n_outputs = n_outputs\n", + " self.hidden = n_hidden\n", + "\n", + " # Initialize weight matrices and bias vectors\n", + " self.W_h = np.random.randn(self.n_inputs, self.hidden)\n", + " self.b_h = np.zeros((1, self.hidden))\n", + " self.W_o = np.random.randn(self.hidden, self.n_outputs)\n", + " self.b_o = np.zeros((1, self.n_outputs))\n", + "\n", + " def sigmoid(self, a):\n", + " return 1 / (1 + np.exp(-a))\n", + "\n", + " def forward_pass(self, X):\n", + " \"\"\"\n", + " Propagates the given input X forward through the net.\n", + "\n", + " Returns:\n", + " A_h: matrix with activations of all hidden neurons for all input examples\n", + " O_h: matrix with outputs of all hidden neurons for all input examples\n", + " A_o: matrix with activations of all output neurons for all input examples\n", + " O_o: matrix with outputs of all output neurons for all input examples\n", + " \"\"\"\n", + " # Compute activations and outputs of hidden units\n", + " A_h = np.dot(X, self.W_h) + self.b_h\n", + " O_h = np.tanh(A_h)\n", + "\n", + " # Compute activations and outputs of output units\n", + " A_o = np.dot(O_h, self.W_o) + self.b_o\n", + " O_o = self.sigmoid(A_o)\n", + "\n", + " outputs = {\n", + " \"A_h\": A_h,\n", + " \"A_o\": A_o,\n", + " \"O_h\": O_h,\n", + " \"O_o\": O_o,\n", + " }\n", + "\n", + " return outputs\n", + "\n", + "\n", + " def cost(self, y_true, y_predict, n_samples):\n", + " \"\"\"\n", + " Computes and returns the cost over all examples\n", + " \"\"\"\n", + " # same cost function as in logistic regression\n", + " cost = (- 1 / n_samples) * np.sum(y_true * np.log(y_predict) + (1 - y_true) * (np.log(1 - y_predict)))\n", + " cost = np.squeeze(cost)\n", + " assert isinstance(cost, float)\n", + "\n", + " return cost\n", + "\n", + " def backward_pass(self, X, Y, n_samples, outputs):\n", + " \"\"\"\n", + " Propagates the errors backward through the net.\n", + "\n", + " Returns:\n", + " dW_h: partial derivatives of loss function w.r.t hidden weights\n", + " db_h: partial derivatives of loss function w.r.t hidden bias\n", + " dW_o: partial derivatives of loss function w.r.t output weights\n", + " db_o: partial derivatives of loss function w.r.t output bias\n", + " \"\"\"\n", + "\n", + " dA_o = (outputs[\"O_o\"] - Y)\n", + " dW_o = (1 / n_samples) * np.dot(outputs[\"O_h\"].T, dA_o)\n", + " db_o = (1 / n_samples) * np.sum(dA_o)\n", + "\n", + " dA_h = (np.dot(dA_o, self.W_o.T)) * (1 - np.power(outputs[\"O_h\"], 2))\n", + " dW_h = (1 / n_samples) * np.dot(X.T, dA_h)\n", + " db_h = (1 / n_samples) * np.sum(dA_h)\n", + "\n", + " gradients = {\n", + " \"dW_o\": dW_o,\n", + " \"db_o\": db_o,\n", + " \"dW_h\": dW_h,\n", + " \"db_h\": db_h,\n", + " }\n", + "\n", + " return gradients\n", + "\n", + " def update_weights(self, gradients, eta):\n", + " \"\"\"\n", + " Updates the model parameters using a fixed learning rate\n", + " \"\"\"\n", + " self.W_o = self.W_o - eta * gradients[\"dW_o\"]\n", + " self.W_h = self.W_h - eta * gradients[\"dW_h\"]\n", + " self.b_o = self.b_o - eta * gradients[\"db_o\"]\n", + " self.b_h = self.b_h - eta * gradients[\"db_h\"]\n", + "\n", + " def train(self, X, y, n_iters=500, eta=0.3):\n", + " \"\"\"\n", + " Trains the neural net on the given input data\n", + " \"\"\"\n", + " n_samples, _ = X.shape\n", + "\n", + " for i in range(n_iters):\n", + " outputs = self.forward_pass(X)\n", + " cost = self.cost(y, outputs[\"O_o\"], n_samples=n_samples)\n", + " gradients = self.backward_pass(X, y, n_samples, outputs)\n", + "\n", + " if i % 100 == 0:\n", + " print(f'Cost at iteration {i}: {np.round(cost, 4)}')\n", + "\n", + " self.update_weights(gradients, eta)\n", + "\n", + "\n", + " def predict(self, X):\n", + " \"\"\"\n", + " Computes and returns network predictions for given dataset\n", + " \"\"\"\n", + " outputs = self.forward_pass(X)\n", + " y_pred = [1 if elem >= 0.5 else 0 for elem in outputs[\"O_o\"]]\n", + "\n", + " return np.array(y_pred)[:, np.newaxis]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initializing and training the neural network" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:23:21.234143Z", + "start_time": "2018-03-11T14:23:20.414484Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape of weight matrices and bias vectors:\n", + "W_h shape: (2, 6)\n", + "b_h shape: (1, 6)\n", + "W_o shape: (6, 1)\n", + "b_o shape: (1, 1)\n", + "\n", + "Training:\n", + "Cost at iteration 0: 1.0872\n", + "Cost at iteration 100: 0.2723\n", + "Cost at iteration 200: 0.1712\n", + "Cost at iteration 300: 0.1386\n", + "Cost at iteration 400: 0.1208\n", + "Cost at iteration 500: 0.1084\n", + "Cost at iteration 600: 0.0986\n", + "Cost at iteration 700: 0.0907\n", + "Cost at iteration 800: 0.0841\n", + "Cost at iteration 900: 0.0785\n", + "Cost at iteration 1000: 0.0739\n", + "Cost at iteration 1100: 0.0699\n", + "Cost at iteration 1200: 0.0665\n", + "Cost at iteration 1300: 0.0635\n", + "Cost at iteration 1400: 0.061\n", + "Cost at iteration 1500: 0.0587\n", + "Cost at iteration 1600: 0.0566\n", + "Cost at iteration 1700: 0.0547\n", + "Cost at iteration 1800: 0.0531\n", + "Cost at iteration 1900: 0.0515\n" + ] + } + ], + "source": [ + "nn = NeuralNet(n_inputs=2, n_hidden=6, n_outputs=1)\n", + "print(\"Shape of weight matrices and bias vectors:\")\n", + "print(f'W_h shape: {nn.W_h.shape}')\n", + "print(f'b_h shape: {nn.b_h.shape}')\n", + "print(f'W_o shape: {nn.W_o.shape}')\n", + "print(f'b_o shape: {nn.b_o.shape}')\n", + "print()\n", + "\n", + "print(\"Training:\")\n", + "nn.train(X_train, y_train, n_iters=2000, eta=0.7)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Testing the neural network" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:24:18.161094Z", + "start_time": "2018-03-11T14:24:18.153370Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Classification accuracy on test set: 98.4 %\n" + ] + } + ], + "source": [ + "n_test_samples, _ = X_test.shape\n", + "y_predict = nn.predict(X_test)\n", + "print(f\"Classification accuracy on test set: {(np.sum(y_predict == y_test)/n_test_samples)*100} %\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Visualizing the decision boundary\n", + "\n", + "In the lowermost plot we can see which parts of the input space are classified as positive and which are classified as negative by the trained network." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:24:26.206360Z", + "start_time": "2018-03-11T14:24:26.035186Z" + } + }, + "outputs": [], + "source": [ + "X_temp, y_temp = make_circles(n_samples=60000, noise=.5)\n", + "y_predict_temp = nn.predict(X_temp)\n", + "y_predict_temp = np.ravel(y_predict_temp)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:24:31.685165Z", + "start_time": "2018-03-11T14:24:27.151239Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5,1,'Decision boundary')" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(8,12))\n", + "ax = fig.add_subplot(2,1,1)\n", + "plt.scatter(X[:,0], X[:,1], c=y)\n", + "plt.xlim([-1.5, 1.5])\n", + "plt.ylim([-1.5, 1.5])\n", + "plt.xlabel(\"First feature\")\n", + "plt.ylabel(\"Second feature\")\n", + "plt.title(\"Training and test set\")\n", + "\n", + "ax = fig.add_subplot(2,1,2)\n", + "plt.scatter(X_temp[:,0], X_temp[:,1], c=y_predict_temp)\n", + "plt.xlim([-1.5, 1.5])\n", + "plt.ylim([-1.5, 1.5])\n", + "plt.xlabel(\"First feature\")\n", + "plt.ylabel(\"Second feature\")\n", + "plt.title(\"Decision boundary\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.9" + }, + "toc": { + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/softmax_regression.ipynb b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/softmax_regression.ipynb new file mode 100644 index 0000000..2e5289b --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/softmax_regression.ipynb @@ -0,0 +1,407 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "hide_input": false + }, + "source": [ + "## Softmax regression in plain Python\n", + "\n", + "\n", + "Softmax regression, also called multinomial logistic regression extends [logistic regression](logistic_regression.ipynb) to multiple classes.\n", + "\n", + "**Given:** \n", + "- dataset $\\{(\\boldsymbol{x}^{(1)}, y^{(1)}), ..., (\\boldsymbol{x}^{(m)}, y^{(m)})\\}$\n", + "- with $\\boldsymbol{x}^{(i)}$ being a $d-$dimensional vector $\\boldsymbol{x}^{(i)} = (x^{(i)}_1, ..., x^{(i)}_d)$\n", + "- $y^{(i)}$ being the target variable for $\\boldsymbol{x}^{(i)}$, for example with $K = 3$ classes we might have $y^{(i)} \\in \\{0, 1, 2\\}$\n", + "\n", + "A softmax regression model has the following features: \n", + "- a separate real-valued weight vector $\\boldsymbol{w}= (w^{(1)}, ..., w^{(d)})$ for each class. The weight vectors are typically stored as rows in a weight matrix.\n", + "- a separate real-valued bias $b$ for each class\n", + "- the softmax function as an activation function\n", + "- the cross-entropy loss function\n", + "\n", + "The training procedure of a softmax regression model has different steps. In the beginning (step 0) the model parameters are initialized. The other steps (see below) are repeated for a specified number of training iterations or until the parameters have converged.\n", + "\n", + "An illustration of the whole procedure is given below.\n", + "\n", + "![title](figures/softmax_regression.jpg)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hide_input": false + }, + "source": [ + "* * * \n", + "**Step 0: ** Initialize the weight matrix and bias values with zeros (or small random values).\n", + "* * *\n", + "\n", + "**Step 1: ** For each class $k$ compute a linear combination of the input features and the weight vector of class $k$, that is, for each training example compute a score for each class. For class $k$ and input vector $\\boldsymbol{x}^{(i)}$ we have:\n", + "\n", + "$score_{k}(\\boldsymbol{x}^{(i)}) = \\boldsymbol{w}_{k}^T \\cdot \\boldsymbol{x}^{(i)} + b_{k}$\n", + "\n", + "where $\\cdot$ is the dot product and $\\boldsymbol{w}_{(k)}$ the weight vector of class $k$.\n", + "We can compute the scores for all classes and training examples in parallel, using vectorization and broadcasting:\n", + "\n", + "$\\boldsymbol{scores} = \\boldsymbol{X} \\cdot \\boldsymbol{W}^T + \\boldsymbol{b} $\n", + "\n", + "where $\\boldsymbol{X}$ is a matrix of shape $(n_{samples}, n_{features})$ that holds all training examples, and $\\boldsymbol{W}$ is a matrix of shape $(n_{classes}, n_{features})$ that holds the weight vector for each class. \n", + "* * *\n", + "\n", + "**Step 2: ** Apply the softmax activation function to transform the scores into probabilities. The probability that an input vector $\\boldsymbol{x}^{(i)}$ belongs to class $k$ is given by\n", + "\n", + "$\\hat{p}_k(\\boldsymbol{x}^{(i)}) = \\frac{\\exp(score_{k}(\\boldsymbol{x}^{(i)}))}{\\sum_{j=1}^{K} \\exp(score_{j}(\\boldsymbol{x}^{(i)}))}$\n", + "\n", + "Again we can perform this step for all classes and training examples at once using vectorization. The class predicted by the model for $\\boldsymbol{x}^{(i)}$ is then simply the class with the highest probability.\n", + "* * *\n", + "\n", + "** Step 3: ** Compute the cost over the whole training set. We want our model to predict a high probability for the target class and a low probability for the other classes. This can be achieved using the cross entropy loss function: \n", + "\n", + "$J(\\boldsymbol{W},b) = - \\frac{1}{m} \\sum_{i=1}^m \\sum_{k=1}^{K} \\Big[ y_k^{(i)} \\log(\\hat{p}_k^{(i)})\\Big]$\n", + "\n", + "In this formula, the target labels are *one-hot encoded*. So $y_k^{(i)}$ is $1$ is the target class for $\\boldsymbol{x}^{(i)}$ is k, otherwise $y_k^{(i)}$ is $0$.\n", + "\n", + "Note: when there are only two classes, this cost function is equivalent to the cost function of [logistic regression](logistic_regression.ipynb).\n", + "* * *\n", + "\n", + "** Step 4: ** Compute the gradient of the cost function with respect to each weight vector and bias. A detailed explanation of this derivation can be found [here](http://ufldl.stanford.edu/tutorial/supervised/SoftmaxRegression/).\n", + "\n", + "The general formula for class $k$ is given by:\n", + "\n", + "$ \\nabla_{\\boldsymbol{w}_k} J(\\boldsymbol{W}, b) = \\frac{1}{m}\\sum_{i=1}^m\\boldsymbol{x}^{(i)} \\left[\\hat{p}_k^{(i)}-y_k^{(i)}\\right]$\n", + "\n", + "For the biases, the inputs $\\boldsymbol{x}^{(i)}$ will be given 1.\n", + "* * *\n", + "\n", + "** Step 5: ** Update the weights and biases for each class $k$:\n", + "\n", + "$\\boldsymbol{w}_k = \\boldsymbol{w}_k - \\eta \\, \\nabla_{\\boldsymbol{w}_k} J$ \n", + "\n", + "$b_k = b_k - \\eta \\, \\nabla_{b_k} J$\n", + "\n", + "where $\\eta$ is the learning rate." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:25:03.717091Z", + "start_time": "2018-03-11T14:25:03.058714Z" + } + }, + "outputs": [], + "source": [ + "from sklearn.datasets import load_iris\n", + "import numpy as np\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.datasets import make_blobs\n", + "import matplotlib.pyplot as plt\n", + "np.random.seed(13)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:25:04.443874Z", + "start_time": "2018-03-11T14:25:03.939860Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X, y_true = make_blobs(centers=4, n_samples = 5000)\n", + "\n", + "fig = plt.figure(figsize=(8,6))\n", + "plt.scatter(X[:,0], X[:,1], c=y_true)\n", + "plt.title(\"Dataset\")\n", + "plt.xlabel(\"First feature\")\n", + "plt.ylabel(\"Second feature\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:25:28.761719Z", + "start_time": "2018-03-11T14:25:28.749454Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape X_train: (3750, 2)\n", + "Shape y_train: (3750, 1)\n", + "Shape X_test: (1250, 2)\n", + "Shape y_test: (1250, 1)\n" + ] + } + ], + "source": [ + "# reshape targets to get column vector with shape (n_samples, 1)\n", + "y_true = y_true[:, np.newaxis]\n", + "# Split the data into a training and test set\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y_true)\n", + "\n", + "print(f'Shape X_train: {X_train.shape}')\n", + "print(f'Shape y_train: {y_train.shape}')\n", + "print(f'Shape X_test: {X_test.shape}')\n", + "print(f'Shape y_test: {y_test.shape}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Softmax regression class" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:25:55.797505Z", + "start_time": "2018-03-11T14:25:55.631917Z" + } + }, + "outputs": [], + "source": [ + "class SoftmaxRegressor:\n", + "\n", + " def __init__(self):\n", + " pass\n", + "\n", + " def train(self, X, y_true, n_classes, n_iters=10, learning_rate=0.1):\n", + " \"\"\"\n", + " Trains a multinomial logistic regression model on given set of training data\n", + " \"\"\"\n", + " self.n_samples, n_features = X.shape\n", + " self.n_classes = n_classes\n", + " \n", + " self.weights = np.random.rand(self.n_classes, n_features)\n", + " self.bias = np.zeros((1, self.n_classes))\n", + " all_losses = []\n", + " \n", + " for i in range(n_iters):\n", + " scores = self.compute_scores(X)\n", + " probs = self.softmax(scores)\n", + " y_predict = np.argmax(probs, axis=1)[:, np.newaxis]\n", + " y_one_hot = self.one_hot(y_true)\n", + "\n", + " loss = self.cross_entropy(y_one_hot, probs)\n", + " all_losses.append(loss)\n", + "\n", + " dw = (1 / self.n_samples) * np.dot(X.T, (probs - y_one_hot))\n", + " db = (1 / self.n_samples) * np.sum(probs - y_one_hot, axis=0)\n", + "\n", + " self.weights = self.weights - learning_rate * dw.T\n", + " self.bias = self.bias - learning_rate * db\n", + "\n", + " if i % 100 == 0:\n", + " print(f'Iteration number: {i}, loss: {np.round(loss, 4)}')\n", + "\n", + " return self.weights, self.bias, all_losses\n", + "\n", + " def predict(self, X):\n", + " \"\"\"\n", + " Predict class labels for samples in X.\n", + " \n", + " Args:\n", + " X: numpy array of shape (n_samples, n_features)\n", + " Returns:\n", + " numpy array of shape (n_samples, 1) with predicted classes\n", + " \"\"\"\n", + " scores = self.compute_scores(X)\n", + " probs = self.softmax(scores)\n", + " return np.argmax(probs, axis=1)[:, np.newaxis]\n", + "\n", + " def softmax(self, scores):\n", + " \"\"\"\n", + " Tranforms matrix of predicted scores to matrix of probabilities\n", + " \n", + " Args:\n", + " scores: numpy array of shape (n_samples, n_classes)\n", + " with unnormalized scores\n", + " Returns:\n", + " softmax: numpy array of shape (n_samples, n_classes)\n", + " with probabilities\n", + " \"\"\"\n", + " exp = np.exp(scores)\n", + " sum_exp = np.sum(np.exp(scores), axis=1, keepdims=True)\n", + " softmax = exp / sum_exp\n", + " \n", + " return softmax\n", + "\n", + " def compute_scores(self, X):\n", + " \"\"\"\n", + " Computes class-scores for samples in X\n", + " \n", + " Args:\n", + " X: numpy array of shape (n_samples, n_features)\n", + " Returns:\n", + " scores: numpy array of shape (n_samples, n_classes)\n", + " \"\"\"\n", + " return np.dot(X, self.weights.T) + self.bias\n", + "\n", + " def cross_entropy(self, y_true, probs):\n", + " loss = - (1 / self.n_samples) * np.sum(y_true * np.log(probs))\n", + " return loss\n", + "\n", + " def one_hot(self, y):\n", + " \"\"\"\n", + " Tranforms vector y of labels to one-hot encoded matrix\n", + " \"\"\"\n", + " one_hot = np.zeros((self.n_samples, self.n_classes))\n", + " one_hot[np.arange(self.n_samples), y.T] = 1\n", + " return one_hot" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initializing and training the model" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:26:10.831690Z", + "start_time": "2018-03-11T14:26:09.195738Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iteration number: 0, loss: 1.393\n", + "Iteration number: 100, loss: 0.2051\n", + "Iteration number: 200, loss: 0.1605\n", + "Iteration number: 300, loss: 0.1371\n", + "Iteration number: 400, loss: 0.121\n", + "Iteration number: 500, loss: 0.1087\n", + "Iteration number: 600, loss: 0.0989\n", + "Iteration number: 700, loss: 0.0909\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "regressor = SoftmaxRegressor()\n", + "w_trained, b_trained, loss = regressor.train(X_train, y_train, learning_rate=0.1, n_iters=800, n_classes=4)\n", + "\n", + "fig = plt.figure(figsize=(8,6))\n", + "plt.plot(np.arange(800), loss)\n", + "plt.title(\"Development of loss during training\")\n", + "plt.xlabel(\"Number of iterations\")\n", + "plt.ylabel(\"Loss\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Testing the model" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-03-11T14:26:32.425096Z", + "start_time": "2018-03-11T14:26:32.419943Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Classification accuracy on test set: 99.03999999999999%\n" + ] + } + ], + "source": [ + "n_test_samples, _ = X_test.shape\n", + "y_predict = regressor.predict(X_test)\n", + "print(f\"Classification accuracy on test set: {(np.sum(y_predict == y_test)/n_test_samples) * 100}%\")" + ] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.9" + }, + "toc": { + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/support_vector_machines.ipynb b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/support_vector_machines.ipynb new file mode 100644 index 0000000..f155608 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/machine_learning_basics/support_vector_machines.ipynb @@ -0,0 +1,891 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Support Vector Machines\n", + "\n", + "- [1, What are SVMs?](#what-are-svms)\n", + "- [2. Primal approach - Hard-Margin SVM](#hard-margin-svm)\n", + "- [(Optional) - Deriving the margin requirement](#margin-derivation)\n", + "- [3. Primal approach - Soft-Margin SVM](#soft-margin-svm)\n", + "- [4. Solving the primal optimization problem](#solving-primal-svm)\n", + " - [4.1 Hinge loss function](#hinge-loss)\n", + " - [4.2 Updated objective function](#updated-objective-function)\n", + " - [(Optional) Three parts of the objective function](#two-parts)\n", + " - [4.3 Subgradient descent](#subgradient-descent)\n", + " - [(Optional) Subgradient descent vs. gradient descent](#subgradient-descent-vs-gradient-descent)\n", + "- [5. Implementation of primal approach](#primal-implementation)\n", + " - [5.1 Toy dataset](#toy-dataset)\n", + " - [5.2 SVM class](#primal-svm-class)\n", + " - [5.3 Training and testing an SVM](#train-test-svm) \n", + " - [5.4 Visualizing the decision boundary](#decision-boundary)\n", + "- [6. Dual approach](#dual-approach)\n", + " - [6.1 Recap Lagrange multipliers](#recap-lagrange-multipliers)\n", + " - [6.2 Recap Lagrangian](#recap-lagrangian)\n", + " - [6.3 Dual optimization problem](#dual-optimization-problem)\n", + "- [7. Primal vs. dual approach](#primal-vs-dual)\n", + "- [8. Kernels / non-linear SMVs](#kernel-svms)\n", + " - [8.1 What is a kernel?](#what-is-a-kernel)\n", + " - [8.2 What are kernels good for?](#what-are-kernels-good-for)\n", + " - [8.3 Example](#kernel-example)\n", + " - [8.4 Can we also use kernels in the primal SVM?](#kernel-in-primal-svm)\n", + "- [9. Sources and further reading](#sources)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Link to interactive demo\n", + "\n", + "[Click here](https://mybinder.org/v2/gh/zotroneneis/machine_learning_basics/HEAD?filepath=support_vector_machines.ipynb) to run the notebook online (using Binder) without installing jupyter or downloading the code.\n", + "\n", + "Sometimes, the GitHub version of the Jupyter notebook does not display the math formulas correctly. Please refer to the Binder version in case you think something might be off or missing.\n", + "\n", + "I also wrote a [blog post containing the contents of the notebook](https://alpopkes.com/posts/machine_learning/support_vector_machines/)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. What are support vector machines? \n", + "\n", + "Support vector machines (short: SVMs) are supervised machine learning models. They are the most prominent member of the class of [*kernel methods*](https://en.wikipedia.org/wiki/Kernel_method). SVMs can be used both for classification and regression. The original SVM proposed in 1963 is a simple binary linear classifier. What does this mean?\n", + "\n", + "Assume we are given a dataset $D = \\big \\{ \\mathbf{x}_n, y_n \\big \\}_{n=1}^N$, where $\\mathbf{x}_n \\in \\mathbb{R}^D$ and labels $y_n \\in \\{-1, +1 \\}$. A linear (hard-margin) SVM separates the two classes using a ($D-1$ dimensional) hyperplane.\n", + "\n", + "Special to SVMs is that they use not any hyperplane but the one that maximizes the distance between itself and the two sets of datapoints. Such a hyperplane is called *maximum-margin* hyperplane:\n", + "\n", + "\n", + "\n", + "In case you have never heard the term margin: the margin describes the distance between the hyperplane and the closest examples in the dataset.\n", + "\n", + "Two types of SVMs exist: primals SVMs and dual SVMs. Although most research in the past looked into dual SVMs both can be used to perform non-linear classification. Therefore, we will look at both approaches and compare them in the end." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Primal approach - Hard-margin SVM \n", + "\n", + "When training an SVM our goal is to find the hyperplane that maximizes the margin between the two sets of points. This hyperplane is fully defined by the points closest to the margin, which are also called *support vectors*.\n", + "\n", + "The equation of a hyperplane is given by $\\langle \\mathbf{w}, \\mathbf{x} \\rangle + b = 0$, where $\\langle \\cdot, \\cdot \\rangle$ denotes the inner product and $\\mathbf {w}$ is the normal vector to the hyperplane. If an example $\\mathbf{x}_i$ lies on the right side of the hyperplane (that is, it has a positive label) we have $\\langle \\mathbf{w}, \\mathbf{x}_i \\rangle + b \\gt 0$. If instead $\\mathbf{x}_i$ lies on the left side (= negative label) we have $\\langle \\mathbf{w}, \\mathbf{x}_i \\rangle + b \\lt 0$.\n", + "\n", + "The support vectors lie exactly on the margin and the optimal separating hyperplane should have the same distance from all support vectors. In this sense the maximum margin hyperplane lies between two separating hyperplanes that are determined by the support vectors:\n", + "\n", + "\n", + "\n", + "### Goal 1:\n", + "When deriving a formal equation for the maximum margin hyperplane we assume that the two delimiting hyperplanes are given by: \n", + "$$\\langle \\mathbf{w}, \\mathbf{x}_{+} \\rangle + b = +1$$ \n", + "$$\\langle \\mathbf{w}, \\mathbf{x}_{-} \\rangle + b = -1$$\n", + "\n", + "In other words: we want our datapoints two lie at least a distance of 1 away from the decision hyperplane into both directions. To be more precise: for our positive examples (those with label $y_n = +1$) we want the following to hold: $\\langle \\mathbf{w}, \\mathbf{x}_n \\rangle + b \\ge +1$.\n", + "\n", + "For our negative examples (those with label $y_n = -1$) we want the opposite: $\\langle \\mathbf{w}, \\mathbf{x}_n \\rangle + b \\le -1$. This can be combined into a single equation: $y_n(\\langle \\mathbf{w}, \\mathbf{x}_n \\rangle + b) \\ge 1$. This is our first goal: **We want a decision boundary that classifies our training examples correctly.**\n", + "\n", + "\n", + "### Goal 2:\n", + "Our second goal is to maximize the margin of this decision boundary. The margin is given by $\\frac{1}{\\mathbf{w}}$. If you would like to understand where this value is coming from take a look at the section \"*(Optional) Deriving the margin equation*\" below.\n", + "\n", + "Our goal to maximize the margin can be expressed as follows:\n", + "$$ \\max_{\\mathbf{w}, b} \\frac{1}{\\Vert \\mathbf{w} \\Vert}$$\n", + "\n", + "Instead of maximizing $\\frac{1}{\\Vert \\mathbf{w} \\Vert}$ we can instead minimize $\\frac{1}{2} \\Vert \\mathbf{w} \\Vert^2$. This simplifies the computation of the gradient.\n", + "\n", + "### Combined goal\n", + "Combining goal one and goal two yields the following objective function: \n", + "$$\n", + "\\min_{\\mathbf{w}, b} \\frac{1}{2} \\Vert \\mathbf{w} \\Vert^2\n", + "$$\n", + "$$\n", + "\\text{subject to: } y_n(\\langle \\mathbf{w}, \\mathbf{x}_n \\rangle + b) \\ge 1 \\text{ for all } n = 1, ..., N\n", + "$$\n", + "\n", + "In words: we want to find the values for $\\mathbf{w}$ and $b$ that maximize the margin while classifying all training examples correctly. This approach is called the *hard-margin support vector machine*. \"Hard\" because it does not allow for violations of the margin requirement (= no points are allowed to be within the margin)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## (Optional) Deriving the margin equation \n", + "\n", + "We can derive the width of the margin in several ways (see sections 12.2.1-12.2.2 of the [Mathematics for Machine Learning book](https://mml-book.com)). Personally, I found the explanation of [this MIT lecture on SVMs](https://www.youtube.com/watch?v=_PwhiWxHK8o) easiest to understand.\n", + "\n", + "The derivation of the margin is based on the assumptions that we have already noted above:\n", + "$$\\langle \\mathbf{w}, \\mathbf{x}_{+} \\rangle + b = +1$$ \n", + "$$\\langle \\mathbf{w}, \\mathbf{x}_{-} \\rangle + b = -1$$\n", + "\n", + "Including the label of each example we can rewrite this as \n", + "$$y_i (\\langle \\mathbf{w}, \\mathbf{x}_{i} \\rangle + b) -1 = 0$$\n", + "\n", + "Let's say we have a positive example $\\mathbf{x}_{+}$ that lies on the right delimiting hyperplane and a negative example $\\mathbf{x}_{-}$ that lies on the left delimiting hyperplane. The distance between these two vectors is given by ($\\mathbf{x}_{+} - \\mathbf{x}_{-})$. We want to compute the orthogonal projection of the vector onto the line that is perpendicular to the decision hyperplane. This would give us the width between the two delimiting hyperplanes. We can compute this by multiplying the vector ($\\mathbf{x}_{+} - \\mathbf{x}_{-})$ with a vector that is perpendicular to the hyperplane. We know that the vector $\\mathbf{w}$ is perpendicular to the decision hyperplane. So we can compute the margin by multiplying $(\\mathbf{x}_{+} - \\mathbf{x}_{-})$ with the vector $\\mathbf{w}$ where the latter is divided by the scale $||\\mathbf{w}||$ to make it a unit vector.\n", + "\n", + "\n", + "\n", + "$$\n", + "\\begin{align*}\n", + "\\text{width} &= (\\mathbf{x}_{+} - \\mathbf{x}_{-}) \\cdot \\frac{\\mathbf{w}}{||\\mathbf{w}||} \\\\\n", + "&= \\frac{\\mathbf{x}_{+} \\cdot \\mathbf{w}}{||\\mathbf{w}||} - \\frac{\\mathbf{x}_{-} \\cdot \\mathbf{w}}{||\\mathbf{w}||}\n", + "\\end{align*}\n", + "$$\n", + "\n", + "For the positive example $\\mathbf{x}_{+}$ we have $y_+ = +1$ and therefore $(\\langle \\mathbf{w}, \\mathbf{x}_{+} \\rangle = 1 - b$. For the negative example $\\mathbf{x}_{-}$ we have $y_- = -1$ and therefore $- (\\langle \\mathbf{w}, \\mathbf{x}_{-} \\rangle) = 1 + b$:\n", + "\n", + "$$\n", + "\\begin{align*}\n", + "\\text{width} &= (\\mathbf{x}_{+} - \\mathbf{x}_{-}) \\cdot \\frac{\\mathbf{w}}{||\\mathbf{w}||} \\\\\n", + "&= \\frac{\\mathbf{x}_{+} \\cdot \\mathbf{w}}{||\\mathbf{w}||} - \\frac{\\mathbf{x}_{-} \\cdot \\mathbf{w}}{||\\mathbf{w}||} \\\\ \n", + "&= \\frac{(1 - b) + (1 + b)}{||\\mathbf{w}||}\\\\ \n", + "&= \\frac{2}{||\\mathbf{w}||}\\\\ \n", + "\\end{align*}\n", + "$$\n", + "\n", + "We conclude that the width between the two delimiting hyperplanes equals $\\frac{2}{\\mathbf{w}}$. And therefore, that the distance between the decision hyperplane and each delimiting hyperplane is $\\frac{1}{\\mathbf{w}}$." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Primal approach - Soft-margin SVM \n", + "\n", + "In most real-world situations the available data is not linearly separable. Even if it is, we might prefer a solution which separates the data well while ignoring some noisy examples and outliers. This motivated an extension of the original hard-margin SVM called *soft-margin SVM*.\n", + "\n", + "A soft-margin SVM allows for violations of the margin requirement (= classification errors). In other words: not all training examples need to be perfectly classified. They might fall within the margin or even lie on the wrong side of the decision hyperplane. However, such violations are not for free. We pay a cost for each violation, where the value of the cost depends on how far the example is from meeting the margin requirement.\n", + "\n", + "To implement this we introduce so called *slack variables* $\\xi_n$. Each training example $(\\mathbf{x}_n, y_n)$ is assigned a slack variable $\\xi_n \\ge 0$. The slack variable allows this example to be within the margin or even on the wrong side of the decision hyperplane:\n", + "\n", + "- If $\\xi_n = 0$ the training example $(\\mathbf{x}_n, y_n)$ lies exactly on the margin\n", + "- $0 \\lt \\xi_n \\lt 1$ the training example lies within the margin but on the correct side of the decision hyperplane\n", + "- $\\xi_n \\ge 1$ the training example lies on the wrong side of the decision hyperplane\n", + " \n", + "We extend our objective function to include the slack variables as follows:\n", + "$$ \\min_{\\mathbf{w}, b, \\mathbf{\\xi}} \\frac{1}{2} \\Vert \\mathbf{w} \\Vert^2 + C \\sum_{n=1}^N \\xi_n $$\n", + "\n", + "$$ \\text{subject to:} $$\n", + "\n", + "$$ \\begin{equation}\n", + "y_n(\\langle \\mathbf{w}, \\mathbf{x}_n \\rangle + b) \\ge 1 - \\xi_n\n", + "\\end{equation}$$\n", + "\n", + "$$ \\xi_i \\ge 0 \\text{ for all } n = 1, ..., N $$\n", + "\n", + "Note: the objective function is somewhat not displayed correctly within the GitHub version of the notebook. It should look as follows:\n", + "\n", + "\n", + "\n", + "The parameter $C$ is a regularization term that controls the trade-off between maximizing the margin and minimizing the training error (which in turn means classifying all training examples correctly). If the value of $C$ is small, we care more about maximizing the margin than classifying all points correctly. If the value of $C$ is large, we care more about classifying all points correctly than maximizing the margin." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Solving the primal optimization problem \n", + "\n", + "Theoretically, the primal SVM can be solved in multiple ways. The most well known way is to use the [hinge loss function](https://en.wikipedia.org/wiki/Hinge_loss) together with [subgradient descent](https://en.wikipedia.org/wiki/Subgradient_method).\n", + "\n", + "### 4.1 Hinge loss function \n", + "The hinge loss function given the true target $y \\in \\{-1, +1\\}$ and the prediction $f(\\mathbf{x}) = \\langle\\mathbf{w}, \\mathbf{x}\\rangle+b$ is computed as follows:\n", + "\n", + "$$\\ell(t)=\\max \\{0,1-t\\} \\quad \\text{where} \\quad t=y \\cdot f(\\mathbf{x})= y \\cdot \\big(\\langle\\mathbf{w}, \\mathbf{x}\\rangle+b\\big)$$\n", + "\n", + "Let's understand the output of this loss function with a few examples:\n", + "- If a training example has label $y = -1$ and the prediction is on the correct side of the marghin (that is, $f(\\mathbf{x}) \\le -1$), the value of $t$ is larger or equal to $+1$. Therefore, the hinge loss will be zero ($\\ell(t) = 0$)\n", + "- The same holds if a training example has label $y = 1$ and the prediction is on the correct side of the margin (that is, $f(\\mathbf{x}) \\ge 1$)\n", + "- If a training example ($y = 1$) is on the correct side of the decision hyperplane but lies within the margin (that is, $0 \\lt f(\\mathbf{x}) \\lt 1$) the hinge loss will output a positive value.\n", + "- If a training example ($y = 1$) is on the wrong side of the decision hyperplane (that is, $f(\\mathbf{x}) \\lt 0$), the hinge loss returns an even larger value. This value increases linearly with the distance from the decision hyperplane\n", + "\n", + "\n", + "\n", + "\n", + "### 4.2 Updated objective function \n", + "\n", + "Using the hinge loss we can reformulate the optimization problem of the primal soft-margin SVM. Given a dataset $D = \\big \\{ \\mathbf{x}_n, y_n \\big \\}_{n=1}^N$ we would like to minimize the total loss which is now given by:\n", + "\n", + "$$\n", + "\\min _{\\mathbf{w}, b} \\frac{1}{2}\\|\\mathbf{w}\\|^{2} + C \\sum_{n=1}^{N} \\max \\left\\{0,1-y_{n}\\left(\\left\\langle\\mathbf{w}, \\mathbf{x}_{n}\\right\\rangle+b\\right)\\right\\}\n", + "$$\n", + "\n", + "If you would like to understand why this is equivalent to our previous formulation of the soft-margin SVM please take a look at chapter 12.2.5 of the [Mathematics for Machine Learning book](https://mml-book.com)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### [Optional] Three parts of the objective function \n", + "\n", + "Our objective function can be divided into three distinct parts:\n", + "\n", + "Part 1: $\\frac{1}{2}\\|\\mathbf{w}\\|^{2}$\n", + "\n", + "This part is also called the *regularization term*. It expresses a preference for solutions that separate the datapoints well, thereby maximizing the margin. In theory, we could replace this term by a different regularization term that expresses a different preference.\n", + "\n", + "Part 2: $\\sum_{n=1}^{N} \\max \\left\\{0,1-y_{n}\\left(\\left\\langle\\mathbf{w}, \\mathbf{x}_{n}\\right\\rangle+b\\right)\\right\\}$\n", + "\n", + "This part is also called the *empirical loss*. In our case it's the hinge loss which penalizes solutions that make mistakes when classifying the training examples. In theory, this term could be replaced with another loss function that expresses a different preference.\n", + "\n", + "Part 3: The hyperparameter $C$ that controls the tradeoff between a large margin and a small hinge loss." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.3 Sub-gradient descent \n", + "\n", + "The hinge loss function is not differentiable (namely at the point $t=1$). Therefore, we cannot compute the gradient right away. However, we can use a method called [subgradient descent](https://en.wikipedia.org/wiki/Subgradient_method) to solve our optimization problem. To simplify the derivation we will adapt two things:\n", + "1. We assume that the bias $b$ is contained in our weight vector as the first entry $w_0$, that is $\\mathbf{w} = [b, w_1, ..., w_D]$\n", + "2. We divide the hinge loss by the number of samples\n", + "\n", + "Our cost function is then given by \n", + "$$\n", + "J(\\mathbf{w}) = \\frac{1}{2}\\|\\mathbf{w}\\|^{2} + C \\frac{1}{N} \\sum_{n=1}^{N} \\max \\left\\{0,1-y_{n}\\left(\\left\\langle\\mathbf{w}, \\mathbf{x}_{n}\\right\\rangle\\right)\\right\\}\n", + "$$\n", + "\n", + "We will reformulate this to simplify computing the gradient:\n", + "$$\n", + "J(\\mathbf{w}) = \\frac{1}{N} \\sum_{n=1}^{N} \\Big[ \\frac{1}{2}\\|\\mathbf{w}\\|^{2} + C \\max \\left\\{0,1-y_{n}\\left(\\left\\langle\\mathbf{w}, \\mathbf{x}_{n}\\right\\rangle\\right)\\right\\}\\Big]\n", + "$$\n", + "\n", + "\n", + "The gradient is given by:\n", + "$$\n", + "\\nabla_{w} J(\\mathbf{w}) = \\frac{1}{N} \\sum_{n=1}^N \\left\\{\\begin{array}{ll}\n", + "\\mathbf{w} & \\text{if} \\max \\left(0,1-y_{n} \\left(\\langle \\mathbf{w}, \\mathbf{x}_{n} \\rangle \\right)\\right)=0 \\\\\n", + "\\mathbf{w}-C y_{n} \\mathbf{x}_{n} & \\text { otherwise }\n", + "\\end{array}\\right.\n", + "$$\n", + "\n", + "With this formula we can apply stochastic gradient descent to solve the optimization problem." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### [Optional] Difference subgradient descent and gradient descent \n", + "\n", + "The subgradient method allows us to minimize a non-differentiable convex function. Although looking similar to gradient descent the method has several important differences.\n", + "\n", + "#### What is a subgradient?\n", + "\n", + "A subgradient can be described as a generalization of gradients to non-differentiable functions. Informally, a sub-tangent at a point is any line that lies below the function at the point. The subgradient is the slope of this line. Formally, the subgradient of a convex function $f$ at $w_0$ is defined as all vectors $g$ such that for any other point $w$\n", + "\n", + "$$ f(w) - f(w_0) \\ge g \\cdot (w - w_0) $$\n", + "\n", + "If $f$ is differentiable at $w_0$, the subgradient contains only one vector which equals the gradient $\\nabla f(w_0)$. If, however, $f$ is not differentiable, there may be several values for $g$ that satisfy this inequality. This is illustrated in the figure below.\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Subgradient method\n", + "\n", + "To minimize the objective function $f$ the subgradient method uses the following update formula for iteration $k+1$:\n", + "\n", + "$$ w^{(k+1)} = w^{(k)} - \\alpha_k g^{(k)}$$ \n", + "\n", + "Where $g^{(k)}$ is *any* subgradient of $f$ at $w^{(k)}$ and $\\alpha_k$ is the $k$-th step size. Thus, at each iteration, we make a step into the direction of the negative subgradient. When $f$ is differentiable, $g^{(k)}$ equals the gradient $\\nabla f(x^{(k)})$ and the method reduces to the standard gradient descent method.\n", + "\n", + "More details on the subgradient method can be found [here](https://web.stanford.edu/class/ee392o/subgrad_method.pdf)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5. Implementation primal approach \n", + "\n", + "### 5.1 Toy dataset \n", + "To implement what we have learned about primal SVMs we first have to generate a dataset. In the cell below we create a simple dataset with two features and labels +1 and -1. We further split the dataset into a test and train set." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAe4AAAGDCAYAAADtffPSAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAACPm0lEQVR4nOzddZxUZRfA8d9zpzdh6Q4REBFREQMssDAwMbBFsbsVxUKxuxADVERfMTARRbAwQEBBBUFE6Vq2puc+7x93WHZ27uzOLhssnO/n4+dlbz4DvJx56hyltUYIIYQQDYNR3w0QQgghRPokcAshhBANiARuIYQQogGRwC2EEEI0IBK4hRBCiAZEArcQQgjRgEjgFkKglNJKqS713Q4hROUkcAuxjVFKFZf5z1RKBcr8fEY9t61jPMg7t4f3CNEQyf8phNjGaK2zNv9aKfUPcIHW+ov6a5EQYlsiPW4hGgillEcp9bhSamX8v8eVUp74uflKqWPLXOtSSq1XSu2R4lk3KKVWxZ9zfrlzRyul5iilCpVS/yml7ixz+uv4/26KjwDsp5TaSSk1TSm1If7ON5RSjco87yal1AqlVJFSaqFSamD8uKGUulkptSR+79tKqbxU79ma3zshticSuIVoOG4D9gV6A7sDfYER8XPjgTPLXHsUsEprPaf8Q5RSRwLXA4cBOwOHlrukBDgbaAQcDVyilDo+fu7A+P820lpnaa1nAgq4H2gN7AK0A+6Mv6sbcDmwt9Y6GzgC+Cf+jCuA44GD4vfmA89U8B4hBBK4hWhIzgDu1lqv1VqvA+4Czoqfex04SimVE//5LOC1FM85BXhFaz1fa11CPMhuprWerrX+TWttaq1/Bd7ECq62tNaLtdZTtdaheLseLXN9DPAAPZRSLq31P1rrJfFzFwO3aa2Xa61D8XacLPPaQlRMArcQDUdrYFmZn5fFj6G1Xgl8B5wUH6YeBLxRwXP+K/ecUkqpfZRSXyml1imlCrACbNNUjVJKtVBKTYwPhxdifYloGm/XYuBqrKC8Nn5d6/itHYD3lFKblFKbgD+wAn2Lin4ThNjRSeAWouFYiRXsNmsfP7bZOKzh8iHATK31ihTPWYU1nF32OWVNACYD7bTWucDzWMPhAHblBO+LH99Na50Tb8Pm69FaT9Ba94+3XQMPxE/9BwzSWjcq85833m4pWyhEChK4hWg43gRGKKWaKaWaAndg9W43ex/YE7gKa847lbeBc5VSPZRSGcDIcuezgY1a66BSqi8wtMy5dYAJdC53fTFQoJRqA9yw+YRSqptSakB8EV0QCMTvB+sLwSilVIf4tc2UUsdV8B4hBBK4hWhI7gVmAb8CvwG/xI8BoLUOAJOATsC7qR6itf4UeByYBiyO/29ZlwJ3K6WKsL4cvF3mXj8wCvguPsS9L9Zc+55AAfBxuXd7gNHAemA10By4JX7uCaye/efxd/0A7FPBe4QQgNJaRqSE2F4ope4Aumqtz6z0YiFEgySrN4XYTsT3QA9jy0pzIcR2SIbKhdgOKKUuxFrs9anW+uvKrhdCNFwyVC6EEEI0INLjFkIIIRoQCdxCCCFEA9IgFqc1bdpUd+zYsb6bIYQQQtSJ2bNnr9daN7M71yACd8eOHZk1a1Z9N0MIIYSoE0qpZanOyVC5EEII0YBI4BZCCCEaEAncQgghRAMigVsIIYRoQCRwCyGEEA2IBG4hhBCiAZHALYQQQjQgEriFEEKIBkQCt9guxKIxTNOs72YIIUStk8AtGrTFc5dy+b63MMh7OsdknskjFzxHoDhQ380SQoha0yBSngphZ93yDVx70EgCRVagjoQifPnGN6xauoaHv7yzfhsnhBC1RHrcosH64JnPiIQiCccioQh//vgX/yz4r55aJYQQtUsCt2iwlv66jGg4mnTc4XSwfNHKemiREELUPgncosHq1rcLbq8r6Xg0HKVjz/b10CIhhKh9ErhFg3XsxYfj9rlRSpUec3td7HXY7rTduVU9tkwIIWqPBG7RYDVu0YinfrifvkftgdvrIjsvixOuOpoRb19b300TQohaI6vKRYPWdudW3PvhLfXdDCGEqDPS4xZCCCEaEAncQgghRAMigVsIIYRoQCRwCyGEEA2IBG4hhBCiAZHALYQQQjQgEriFEEKIBkQCtxBCCNGASOAWQgghGhAJ3EIIIUQDIoFbCCGEaEBqLXArpV5WSq1VSs0vc+whpdSfSqlflVLvKaUa1db7hRBCiO1Rbfa4XwWOLHdsKtBTa90LWARIdQghhBCiCmotcGutvwY2ljv2udY6Gv/xB6Btbb1fCCGE2B7V5xz3+cCnqU4qpYYrpWYppWatW7euDpslhBBCbLvqJXArpW4DosAbqa7RWo/RWvfRWvdp1qxZ3TVOCCGE2IY56/qFSqlzgWOAgVprXdfvF3Vr1d9reP+pT1n2x3J23b8bx15yOI2a5dZ3s4QQosGq08CtlDoSuBE4SGvtr8t3i7q34PuF3HzEPUTCUWKRGL99/TvvP/UJz/z8AC07Nq/v5gkhRINUm9vB3gRmAt2UUsuVUsOAp4FsYKpSaq5S6vnaer+of48Nf55gSYhYJAZAOBihOL+EsTennCERQghRiVrrcWutT7c5/FJtvU9sW0oK/SxftCrpuGlqZk2ZW/cNEkKI7YRkThO1wuVxoQxle86X7avj1gghxPZDAreoFW6Pi/4n9MXlSRzU8WS4Oe7SI2zvCQfDLP9rFSWFsvxBCCFSqfNV5WLHcfXzw1m/YiN//fI3DpeTaCjC/sf1Zcj1gxOu01rz9sOTef2ed1BANBrjsLMO4oqnh+F0yV9RIYQoS/5VFLUmMzeTx76+h6Xz/2X10rV02q297WryL9/4htfu+h8hf2jLsde/xu11cdkT59dlk4UQYpsnQ+Wi1nXq2Z79ju2TcgvYhPveTQjaAKFAmE/GfkkkHKmLJgohRIMhgVvUu/zVm2yPmzGTQFGwWs80TXMrWiSEENsuCdyi3nXbeyfb4zl5WWQ1zqzSs754fQant7+II5yncmqb4Xz68pc10UQhhNhmSOAW9e6CB87Em+lBqS3bxzwZbi55/FwMI/2/ol+8PoNHL3yB9cutonQbV+XzzJUvS/AWQmxXJHCLeteldyeenHkf/Y7vS/P2Tel1UA/umXwzB5/SL+1n/PnTXzx07jNEQolz4iF/mPEj367pJgshRL2RVeWiQmuWrSMcDNO2a+uEHnFN69SzPSMnXV+te4P+EDcfcS+maV+zZv2KjZimWaXeuxBCbKskcAtbKxav4u6TH2H5opUYDoOsRpnc/PqV7H7QrnXelvw1m3jz/vf48ZNfyGmSzcnXHMOBQ/Yr/SLx40ezK1yM1qxdUwnaQojthgRukSQWjXHdwSPZuHoTOt6LDZaEGHHM/bzy5xM0bdOkztpSuKGIi/a4gaINRUQjMVYuXs3Dw57l7/n/ct7dpwFQlF+CGbMP3A6nwfn32aXNF0KIhkm6ISLJrClz8RcFS4P2ZrFojM9e+apO2/LBM59RsqmEaLzCGFhfIt55eDKFG4sA6D2gZ1JbAVBw0rXHcugZB9ZVc4UQotZJ4BZJNqzaZNuDjYSirP13fZ22ZfbUeYSDyUlYXB4Xi+f8A0DbnVtx1AUD8WZ6Ss97Mz3sObAXw+4bavvckkI/87/9gxWLkyuYCSHEtkyGykWSHvt1BZ3cg/Vmeel98JY5btM0UUrV6qK1Fh2a8/vMRUk96nAgTKNmOaU/X/rE+ex1eG8+efELwqEIA884gAGn9y+d254y7ivGj3ybDSvzyWqcSUmBH4/PTTQcpcsenbjr/RvJbZqDEEJs65S2+Qd6W9OnTx89a9as+m5Gg1OwvpCp42ewYvFqevbrzgEn74vb40rr3lGnP8bMD2eXpiJ1e1207tKSZ2c9wMola3jy0hf57Zs/cLocDDi9P5c8fh6ZORk1/hkWzV7CtQfdQcgfTjiuDEXbrq158vtRZDWqOEnLh89P4YXrX0tKq7qZ0+Vg137deXjanTXVbCGE2CpKqdla6z625yRwb58Wz1nKdYeMJBqJEQ6E8WZ5adKqMU/9cB/ZjbMqvT8Wi/Hp2Gl89MLnhIMRDjmtHydfewyhQJjzul1FSUFJaafc5XHSZY/OPPHdvbXS+57xv5ncN/TxpOF7l9vJ0cMP47InUxci0VozpMUwCtYXVfgOt9fFuL+eqtOFd0IIkUpFgVvmuLdT95/5JP7CAOGA1VMNFgdZs2wdr9/zTlr3OxwOjrnoMJ7/5SFe/v1xzrpjCL4sH5+M/ZJwMJwwkh4JRVn62zIWzf67Nj4KfQ7vhd33gUg4yvS3v6/w3mBJkOJNJZW+w+FyULihuLpNrLZYLMabo9/ltLbDOTbnLG4/7gGWL1pZ5+0QQjQcEri3Q/lrNrHq79VJx6PhKDP+N3Ornv333H9sF4sppVi+sPoBZ+WS1fw+cyGB4kDysw0jZU/ecFTcw/dkeMhIYwjfMAzadW+dXmNr0KMXPM8b905iw8p8gsVBfvxoNpfvcwvrV2yo87YIIRoGCdzbIYfLYbe2DLDmc7dG1z474fa5k46bpqbDrm2r/LxN6wq4qt9tXNjrOm4ZNIohLS9k0uMfJVyTke1jl/26YjgS/7q6vS4OPfOgCp9vGAZn3n4SngyP7XmltuRFd7nTm/+vKetXbOCrid8lzN9rrQkFwrz7xCd12hYhRMMhgXs7lJOXTbe9d0oKdB6fm6MuGLhVzz5y2AC8GW6UsaWn6/a66N63C116d6ry8+466WEWzVpCOBDGXxgg5A/xyoiJ/PzZnITrbhp3BXktG5GR7cPpcuDL8tJ5946cecfJlb7jhCuP5oLRZ9CoeS4ATdvm0e/4vnTdqzP7H9+X0VNu54hzDqly27fWst+X4/Ymf1mIhqP88cOiOm+PEKJhkO1g26lb37iKaw68g6L8EmLRGIah6LFfN4ZcP7jC+5bM+4eZH87C5XZx4JB9adWpRcL5nLxsnv5xNM9c9TK/fPErLo+Lw885mGH3n1HlNs76fC6/f78wKcd4yB/inUc/Yu8j9yg91qJDM8YveZrvP5jF/G//oM3OrTjmosNwuqy/wuuWb8BwGDRp1TjpPUopjr98EMdfPmibylneqnMLIuFo0nGH06Djru3qoUVCiIZAVpVvx2LRGLOmzGXNsvV023snuu3dpcLrx9z4GpOf/YxIKIrhMDAMxeVPDWPQsK3rpdtZPGcpV/W7zXa+HKBjz3a8+OujCccWfL+QO098iFDA2tbldDkZdv9QJj32EWv+WYfW0L57G0a8dQ1tu9b9fHV13HrUKOZOX0CkzO+DN8PDc7882GA+gxCi5sl2MFGpP378ixsG3pm0X9rtdfH6P8/ROD7MXFNuOvwefvniV9tzTreTE648iuEPnlV6bNqEbxl99pP2qU3LadQshzf+fT7tPev1KVAS5JkrX2bahG8xYzHadmvD1c8Pp2e/7vXdNCFEPZLtYKJSM97+nnAgufdrOAx+/Gh2jb9v4c+LU55TCk65YcuQ/hdvfM1D5z+dVtAGKC70M/ODn7e6jXXBl+nl+pcu5cOi13gvfxxjf3tUgrYQokIyx92AxKIx5n/3J9FwlF37dccbXym99r/1THn1KzasyGfPQ3ej3/F9cTirtnrccCiUss10mrAQraY0ap5LSYHf9lwkHGXV32tp1CwXrTUv3vAa0XDM9lo70VCUV++YyLwZCzj8nIPp3ndnIuEIc76cT8H6QgBym+bQe0DPbaZX7nA68FXxz0wIsWOSwN1A/P7DIm4fPJpofDGTGTO54ZXLyMzNYOQJD2HGYkRCUb6c8A1vP/QBj0y/C4/PfguUnUNO68/kZ6ckDZWbMZP9jrUdrdkqp9wwmMeGv2B/UsPU8dPZZZ+d2bgqn01rC6r8/OWLVrFi8Wo+Hzedw885mOlvfU8oEC5NSOPyOHF73dz1/o31UmNcCCGqS+a4G4CgP8RpbYYn9VDdXhdurzspM5gnw82595zGydccW6X3jL/rbd568AN0zEQ5DNBw3UsXM+D0A7b6M5RnmibHZJ5JJGS/OG3QBQPpuldnnr92HKFA2PaamuDL8vLWyjH4sny19g4hhKgqmeNu4H78aDammVxmMxqJ2qbzDPnDTHvjmyq/5+yRp/DC3Ic5/76hDH/wLF77++kaD9qmafLZK19xed9byMi1D5Yuj5OdenesMGgrQzHogoEpE6tUxczJO+6XQiFEwyND5Q1AUX6JbX1sM5Z6tMTlTc5ulo62O7fi5Gur1lOvikcveI4Z/5tJsMTa0lV+Xt3lcTJw6AEs/Hkx4RS98YwcHxc+eBbHDD+Mjj3b8cptb5Y+r6pM08RfFKzWvUIIUR8kcDcAewzsmfaK6s123X/bW5m8YvEqvpr4XcLeba3B7XPT54jdade1NfsN3pse+3Xl9sGjbT+zL9vLjeMup99xfQE48cqjadOlFW/e9y7L/lhOcX7lBUXK0qZmr8N7bd0Ha+BM0+Sv2X8TCUXo1rdLnad+FUJUjQyVNwBturTi2IsPx5u5ZVjYm+khIyf1vOyHz33GPwv+q4vmobXmly9+5dHhz/P0lS+xcNaShPMlhX5eHfkW1xx4h22msHAgjDfDwwWjz2TX/buhlKLf8X1th8GjkRi79d8l4ViXPTqx+p+1REKJz/ZmePBlezn2ksPxZCSPQHh8bk68+uik7HA7ksVzl3JGh0u4YeBd3HbM/ZzcfBgzP5SpAyG2ZbI4rYHQWjNrylw+GfsFoUCEgUMPIBqO8tQVY5NWgoM1BN3nyD247+Nba71dD573DNMnfle64t0wFMdeeiSXP3k+4WCYS/a6kVVL1yZkByvL6XYw5LrBnD9qaOmxcDDM1f1H8N+fKwn6QygFbp+Hs+88hVPKpW194Jyn+OrN74hFE7eMtercgjG/PoI3w8PCWUv45MWpLPt9OdrUtOrcgkHDBrL7wdaK8qXz/2XcHW/x50+LadmpGWeMOJm9j+hdg79TlQv6Q/z86RyCJSH2PKyXbfrWmhQOhjmt7UUUbUwsZ+rJcPPib4/u0F9ohKhvFS1Ok6HyBkIpxd5H7pGQv1trze8zF/LJ2C+TrtcaFny3sNbb9ds3f/DVm98Si2wJmqap+eDpTzngpH1Yu2w9a/9dnzJogzVXv+ehvcrcb+LyuHj823v5fNwMvpk0k+wm2Qy+5AhadmrOyiWradW5RWmpzx8+mp0UtAHW/ru+dG1Atz470a3PTrbv//vXZVzV7zZC/jBaazas3MhdJz3EVc8N57CzKq4+VlPmf/sHtx1zP2gwtcaMxjhr5BBOu+mEWnvnj5/MSfhz2ywWjfH5q9M5565Ta+3dQojqq7XArZR6GTgGWKu17hk/lge8BXQE/gFO0Vrn11YbtndKKS5/ehhTX/vadltVbtOsWm/DjLe/t/3HH+CV294kp0lWpQvHzJjJbcfcz9XPXcikxz/m73nL8GR4OObiwzh/1Okcc9FhrFi8inuGPMp/C1egDEWjZrncOuEqeuzXDVeKJCpKpVfGdOwtrye1MeQP88J14xl4xgFJRUlM0+Szl79i8rOfESwJceDJ+3LKDceR1Siz0nfZCQfDjDh2NP7CxFrkr9/zDr0O2pUe+3at1nMrU7SxmJjNosdoOFatvfNCiLpRm3PcrwJHljt2M/Cl1npn4Mv4z2IruNwuDj/3INy+xODlyfBwyg3HEYvF+N8jkxna/mIG557N7YNH89/CFTX2/lQrvwFW/r2GWZ/PS+85gTAPnvsMS+b+g9aaYEmQD5+dwsPnP0s0EuXag0by96/LCAcjhPxh1ixbx81H3Ev+mk0cNWxAUo1wh8vB3oP2wF3J6vrfZy5k1mf2bQwUB2wD2GPDX+DZq19hydx/WPHXKt559EMu3+cWgv4twT8UCLFyyeqEY6n88sVv2E1ZhQMRprzyVaX3V1evg3qgbbYZerO89KnjaQIhRPpqrcettf5aKdWx3OHjgIPjvx4HTAduqq027Cgufew8SgoCfPfeT7g8TqLhKMdfMYijhx/GE5eM4YvXvyEUDyA/fvwLv379Oy/+9ijN2zWt8ruW/bGcb9/9kWg4ijfLg8emnvRm2Y0zKaniKu+yQoEw3777I3se1otgcTApuMWiMd4c/R5rl60DrLzqTrcTh8OgeYdmXDf2kgqfX7ixiJuPvNc2aAKgVFIveuWS1Uyb8E3CyvhIKMqGlRuZNuFbBg0bwLg73+KdRz6ytrqZmsGXHckFo89IWU40FAiDTRM2f4GpLW13bsUR5w9g6rjppSMOngwPO+/RiX2P3avW3iuE2Dp1PcfdQmu9Kv7r1UDK1S9KqeHAcID27dvXQdOqZvlfqxh3x0R+nfE7jVs24vSbT+CgU/avl7a4vW5um3A1+WsLWL98A627tCQzJ4P8NZv4fNyMhGF0rTXhQIRJj33EJY+em/CckkI/wZIQeS0blc4flzXhvkm8MepdouFo6dyxYShQ2AaezNzMCnvk6XC6nUx9bQb+okDSuXAwwuRnPsOM6dLga8ZiDLt/KCdccVTCZ9i4Op8Pnv6MP39eTKfd2nPCFUfx48e/2O6PB6vHvv9xeycNw//54184XA4oN2cfLAnxyxe/EiwJ8s4jH5V+UQKY/OwUMnMzOOO2k2zftcfAnkQjyavtvZkeDjx5vxS/MzXjiqeGsefA3fh4zBeEAiEGDj2Aw889GIdD8qYLsa2q1VXl8R73R2XmuDdprRuVOZ+vta506ey2tqp81d9ruHjPGwgWBzHje409mR7OHHFSrS4mqqq5X83nzhMfsi3m0X2fnXlq5n0AFOUX89C5z/DzlLkoQ9G4RSOuG3sJew7crfT6/xau4OI9bkhZP9uO2+vCjJlEy8+Bpwj0tqpybVxey0acfsuJ9D9pH5q2zmP5opVcse+thAIhIqEoTpcTl8fJQafuz2cvTUv5XpfHSZOWeYx893q69O4EwLzpC7j9uNEEyiVtMRwGrbu0ZPXStaWr68vKapzJexteTdnmj174nOevHUck/qXIm+VljwE9ufPdG1L21IUQ269tKeXpGqVUK4D4/66t4/fXiAn3TSJYEioN2gChkhCv3zMprTnNutKqcwvbRWuGw6Bjj7alP9929P38PGUu0XCUSDDC2mXrGHncAwlz4d+99xOxqH3vNJVwMJIUtA2HQbvurTEc5f7qpSpAVo3vlRtXb+LFm1/nnC6X88XrM3j+unGUFPhL93lHI1ECxUF++/oPvFnelO+NBKOs/mct1w+4s/TPdbcDd6FRs9yk9psxk+ULV9oGbYDi/BLbtLWbHXPR4Tz14/2ccNVRDBo2gNvfulaCthDCVl3/qzAZOCf+63OAD+r4/TXit2//tB1idTgNVi5eXQ8tste8fVM69eqA4UiMig6nwSFD+wPW/uW/f/0nKeCEg2Hee+KT0p9XLFlNLJZ+ac1UzJjJun83cOzFh+H2uvBmevD43LTu3DLl6vDqCAfChIMRHhv+AnOmzbedx16xeBXtu7dJWthWXrAkxPfv/wSAYRg8PG0kO+/ZCbfXhaeSezdr1711pUG4U8/2XPzwOVz74iX0HbSHBG0hhK3a3A72JtZCtKZKqeXASGA08LZSahiwDDiltt5fm1p1as6KRauSjkdCUfJaNar7BtkwTZN7TnmUZQv+S8ppbjgMRhw7moOG7McBJ++b4n7Nb9/9CVjDuNPe+LZavV87wZIQ3773ExNXjuHvucvIbZbDhPveZeXfNf+lRxkqdbs1/PvncqLhKNl5WUmJSDaLRWLkr9myurx5+2Y8/eNo1i3fwNfvzGTcyLeShs7L8vjcXPLYeZW2tWB9IW+Ofo+ZH8wiMzeDE648ikPPOtB2vYEQYsdVm6vKT09xamBtvbOunHbzCfz2zR8JGcvcXhf7HL0XjZrl1mPLLKFAiHce+ZCfPp1TWn864Xy83d9M+oHm7ZulrMC1YcVGwqEIL974OuFgzZbW3LhqE6/f/Q4XjD4Dl9tlVTmrheUWdlnlygoWh+LXVTzF0fOAXZKONWvbhA492qFSjPN7Mj3sun83zrpjCD37VZw7vqTQzyV73Uj+moLS0Y8nL3uRRbOXcNkT51d4rxBixyJjcdWw+0G7cu2LF5PbNBuPz43L46L/iftw47jLa/3ds6fO48r9b2NIy2HceNjd/PHjXwnnv5n0A0NaXMBrd79jG7TLCvnDfPHajJQBs2hjMSsXr0bXQkTVWvPR858z4pjRaK1p06XlVj0vac68isLBiNU7t9G4RW7KrGveTI/tynmPz80T397LA1NurzRoA3zy4hcUri9KmLIIloT4eMwXrF+5Mc1PIYTYEUjK02oacPoBHHTK/mxYsZGsxllkZKcu+FFTvpn0Aw+c81RpL3LOl7/x+8yFjP5sBD3778KqpWt44OynUvag7WxcnY/hNDBtFp65vS42rsonGt76uW074WCE32cu5N0nPubzcdO36lk1MZqslMKX4yXkDxOLxlBK4clw88j0u2yv//a9Hxl95pNJW7lcHheXPz2MnXbvmHA8FAjx82dzCfnD7HlYLxo33zI688sXv9r+ubk8ThbNWkLTwXlb/wGFENsFCdxbweFw0Lx9szp5l9aa5659NWnoN+QPM+bG13jy+/uYOn5GlReQVRSUw6EIdxz/ADvt3pE/f/or5XWpGA4Dt9dFKBBOWZY0Eorw4k2vp0ybCtC5Vwe67b0Tn4+fTixivzK7qive7TRv15QnZo7is5e+ZPGcf+jaZyeOumAgOU2yk641TZOnLh+bFGyVUuw9qDdHnjcg4fi8GQu447gHQFt/lrFojGGjz+DEK48GoGXH5hgOI2nRoxkzadJagrYQYgsJ3A1EKBBmw0r7tO5/z1sGQOH6wpSB2Om2MqrZBYeUtPXFYOPqfDwZ7krni8tr1q4J4/56ijlfzue9Jz9h1pS5Se9OJ+CuXraObn27pAzaNcFwGAwbPZS8Fo0Yeqt9opSy8tcU2Nb+1lqXFncpKSjh1Tve4quJ31GwvjBpSuLlWybQ68AedOndieOvGMTU12Yk/B47nAYtO7Wg616dt+7DCSG2KzLH3UC4vS68NvWpgdKV7H2P2st2X7LD6WD4g2fywtyH6LJnpyqvUt64Kp9rxlxU5TYffMr+OBwOOu3WHuVQ6X9hKMdf4OeHj2anVTBkM0+GG4fTsLKclWE4DDwZHhzOxONKKd564IPU6U/LycjxkerSRs1yiEaiXNVvBB+9MJWCdclBG6zRhs9ftXKRd+jRjtvfupZGzXLwZnpweVzssl83Hvh8hKwqF0IkkMDdQBiGwYnXHIOnXPD2Zng4Y8TJAPQ5Ynd23b8b3swt13gzPQy+9AhOuPJo/v1jBf/+vjzt4FT6bofBgSfvxwlXHYXDGf8rk0YsmTbxO4ryi7lkrxv58cPZVXpnefmrNyUlc6kong0YegBvrx7LfZ/cxsGn7s8+x+zJefeexs2vX4nT5UgqAxqLxlj+1yr+/GlxWu3xZXo56JT9cJfL1e6NF3eZ+eFs1v67PmVCFrC23JXdRrbP0XsxceUYnp31AK/9/QyPzbibvJa1W5NbCNHwyFB5A3LWHScTCUV4/6lPAY3D6eDM20/m8HMOBqzgPuqjW/hq4ndMm/ANLo+Loy4YSN+j9gTgnUc/rLTEZnkOl4Nue3fBXxjg0sfOo/+J+/DVm9+S2yyXlYtXM3PyzymfWbyxmFdvn2ht9apBLreTVju1YOWS1SmnBr5681syczO46KGzS1O3hgIhTm5xAcFi+z3XSlnpbL0ZbiY/O4X1KzbS96g9Oezsg2xHO656bjiB4iA/fTInXtwlxsnXH8thZx/EyyPeJJDiPZt5s7z0PylxH73D4aBdtzbp/DYIIXZQtZqrvKZsa7nKa8OGVfnkr9lEu26t8fjsh8Q3CwfDrFi8mpkfzWbZ/H/pfchuDDyjf1IJy5JCPzMnzyLkD9HniN7cMPAuVv29pkrtsipuOeKpUxXa1ChlDb+fctNxdNq1PY9e+LxtkMrI8dGuWxsW/pxeLxYFbo+LSCiSchi69NnZXvwVJD0Ba3rhzf9eKF1c9v7Tn/LMlS+nvt7n5ty7TmXcnW8RCcVzhmd6aNauKU//eH/KnQMbV+ezbvlG2nZtRWZOBgCfvvQlz179SsovNd4sL3sd1os7/nedZEgTQiSpKFe5BO56VlJQwqjTH2fe9AU43U5MUzNs1Okcf8VRKe9ZPHcpV+x7a8IwbHbjTF5Z+CS5TXMAa3vRyBMeRCmFaWq0adK5VwcWz1maXPTDThrFPRxOB8MfOosXb36daCh5SNjtdXH4uQfz0fNTK38f0KlXBx7+ciQnNx9W5eF8OxnZPnoe0J2/Zi8lI8eHqU1WLU79xWXvI3uz4PuF+AsTK5G5fW7OumMIp910fNrvDhQHOLPTpRRtLEn4LMpQKKXIyMng1BsGM+SGwVKJSwiRZFsqMiLKue+MJ5g7bT7hYAR/YYBgcZCxt0zgp0/npLzn5iPuTZo7LcovYdRpjwMQ9Ie488SHCJaECBQHCflDhIMR/v7tX3zZvtJ52QoXPaURN2PRGK+MmIgZtf8i0O/4vpx87bFpLa5ShqJL745orVMmQkm4XqlKr/MXBZg1ZR75azax4q9VFQbtVju1YOhtJ9qeCwfCfP3OzJT3Lp6zlEcueI5bBo3i/ac/JVASxJfl4/Fv76Xb3jvhdDlwOA0Mh4E2NWbMpDi/mNfvncRTl42t9LMKIURZErjrUf6aTcz5cj6RckE45A/x1oPvp7ynYF2h7bm5X80nEo4w+/N5tsEyEoyw7zF7ccqNx9Fj/24cOGQ/cpvlbFXWsWBJMCkX+mbzpi+gVecWnHbz8ZUuZtOmZsb/ZjLq9MfTSqbiyXCXji7YUQ4rsKezkl0pePCLO8jOy065PS2rUWbSsfy1Bdx2zH1c2udGPnt5GrOmzGXszW9w6V43UlLop123Njz1w/38b81LHHbOwUl/JiF/iM/HzyB/bUHSs4UQIhUJ3PVo07pCnG77YdJUe7YDJanndbXW3DDgLkIB+3nVzUO259x5Kk98ey8jJl7Ds7MeYM+Bu2E4DWsYN43ebrpKCv3Mm76A8+49nROuPAqX20lGjg9vpoeWnZsnbe8KB8LM/Wo+LTu3wKikHU63k7ELHuPYSw7HcFi92c1fDgyHolGz3JRJX8o7cthAWnZoTvvubWjW1j7ZicPp4M6THuLV299k/YoN5K8tYHiv6/jpkzkJ8/Ehf4i1/67ng2c+Kz2W1SiTJXP/SVrJDtaXqTvKlVAVQoiKSOCuR212bmVboMJwKLRp8uodE1n73/qEc+v+3VDhM5fM+wd/YSApDSdYW8MOPrVfwrHm7Zpy/2cj+LjkDS557LwaLa2pNfz7xwqUUlz62Hm8tvRZbhp/BQ9/dRcnXnW07aiANjUbVmykUYtGGM7kv54Ot0GTNnkceuaBfP/+Twy7/wzeWfsS1798Kde9eAkvzHuY9zeN56Ah+yXt1bbjy/LS7/i+gDX83qSNfeCe9flcvnvvJ95+eDLn73I1L970GsX59tXEwsEI3076MeFYx13bpRzZ+POnv7hi31tZv6LiP1shhAAJ3PXK7XEx7IEzkoKlGdOsXLKGtx/8gGE9rmb+t3+gtWbS4x9xy6B7K3xmsMTKh33508Pw+Nw4nA6UsoL2foP7sPeRvW3vc7qctO/eOr56vGYYhqJDj7alPzdp1Zj9B+9Ntz47kZOXnXIBWjQS5aAh+9muto6FTYo2FDH52Sk8c9XLnNxiGPec8ijrlm9g32P3ovNuHfBlejnu8kE43eV2O6rEvd8ur4u23VrT54jdAWs0Y970BfYfJt7USChKoDjIjLdnVrjILzsvK+HnU244DneqL0Xayoz3bpn650IIkYrs465Hv3z5G6+OmIjhUFYqUjM+v7o5SISjRMJRHjjnaY447xAmjn6fiM3q7bKUocjJy2LQ+QPp2a87X77xDf6iAPsP3pvdD941qZdbUuinZFMJ/qIgd570cPLwchqry1Np3aUlux+8q+25/Y/rk3LLl9Pp5IePZqdMXhIOWl8uyhZbWfDdn/zvock88f0o2ndvQ9udWzHqo1t4eNizbFiVjzY1ewzoSedeHZj+9veg4dCzD+KUGwaXfr5ZU+al/XErKnPq9rk5/opBCcc67tqOUZ/cygNnP8Xaf9cn3RMNR6uVD14IseOR7WD1ZNO6As7qfFlaCVFcXheGYVRaMxrAk+Hh4Wkj6d535wqvC5QEefSC5/ju/Z9RhkLHzKRFcltjl327ct8nt9ou6trs5RFv8uZ979qe82V7E7KKpUMp6HXQrjw87c7SY1prNq7ehDfTQ+H6It568AMW/ryYtt3boNB8//7PhIMROu/egX7H92XCfZPSqoZmOA1cblfSn4lSijNGnMQ5d51qe9/KJau5cLdrS798bOZwOjj6okO54qkLqvSZhRDbp4q2g0mPu55Mf+t7zDQXT2nTRFey1NrlcaKU4oL7h1YatAHuP+MJZk2ZW2kPviJOtwNvhpfmHZrx97x/So+369aaUR/fkhC0SwpKyF9TQPMOzYiGo3z/wc/kNsmmZadmrFu+Mak6WFWDNlhz6vOmL+DMTpdy/n2nc8hp/a1561aNWTr/X67qdxvhQIRYNMbiOUsT7l0y9x+WL1qZVnfb6Xay3+A+7LR7ByaMehfDYRCNxGjbtRW3v30t7bu3TXlv652sUYh50xckBG+Xx8VJVx9T5c8shNjxSOCuJ0Ubi4kEK59PNhwG3fp2ZcncpbbnMxtlMPSWE2nbrTW7HbAL2Y2zbK8ra8OqfGZNmVftoK2UNRw8aNhAdtm3K49e+HzC+VVL1zLqtMcYPeV2wqEIj1/0AtPf+t7KER4z0aaJ0+UkFo1hmrrGi2isWbaOB895mmULlnPevacD8MJ14yr9MhANR9ll3678NftvIuEIZkzj8jjJbpJNcX4JDqe1D7tdtzZEIzEmjHoXh8tBLBKjXfc2PDxtJD9+9Av3DX2C4vwS9jlmL84ccRKNWzRKeM8d71zPc9e+yhfjZxANR+nUqwNXPTec1ju1rNHfByHE9kmGyuvJ/G//4JZBo5KGyg2HYQ3DupygIK9lYx7+6k6mvDyNN0e/nzA06/G5GfXJrex+kP08cioLZy3hhgF3VppLuyLWULGTWNS0nYt2eV2MX/w040e+xZcTviUcqFpJ0JpgOAyGXH8sA884kCv2vSWtsqS77Lsz1429hKnjZxAoCdLv+H3YY0BP/v1zBf/89i8tO7dg1pQ5vHnfewm1uJ1uJ83bNWXj6vzSP1Ony0FO0xxe/O0RcvKSa3rHYjFiUTP1ojUhxA5Lhsq3Qbv2685eh/Vi9tRfS/+h92Z62PeYvThr5Cl8/b+ZLJq9GE+Glz9mLuLUm4/Hl+3jzdHvUbC2kHbd23Dxo+ekHbQDxQFeuH48X7z2NeFQpOIh4TRWaJlRk1A0dSB0uZysWbaOL17/ZqtWqvuyPASKq1YYZTMzZvL2Q5N5/8lP00oy44wXVOnQox0XjD4z4VyHXdrSYRdrCPzOEx9KCNpg9dZXLlmdeCwSozi/mI9emMrQW5KzsjkcDkl3KoSoMgnc9UQpxe3/u44Zb33PlFenowzFkecdwoFD9uODZz5j4gPvEQlGME3NDx/OZtd+3Rj18S2ceNXRlT7bXxRg09oCmrZtUtqbu/Wo+1j485JKg6jhNPBleyjJD1R4XWVMrWncPLfSRCqVadm5Bbv07conY79IOmc4Dbrs0YlFPy9Jeb82NaFAGJXGxkeX181J11jzzJFwhJ8/ncvG1ZvYdf+udNqtQ+l1wQqS4JQXDkaY88VvtoFbCCGqQwJ3PXI4HAwYegADhh5QeqxgfSFjb3o9YeFSsCTIgu/+5Pv3f+aAcmUgy4pGojx1+Ut88doMDKcDBZx916nsflAPFs9ZmhS0lVKJBTCUVU96a4O2y+PiwtFn0KJjMzwZ7qTeaVWs/nstlz1+nm3gNqMm+as34XQ7Kl0Jrs3kz7uZw+lgtwN34dLHz6Nlx+YsX7SSaw68nVBJmFgshjIU+xy9F7dOuAqHw0HfQXtYiwvLpVO1e77hMGi1U4tqfHIhhLAnCVi2MfOmL8DpSv4+FSwJ8fU7PyQd11rz1cTvuPqAEZza+kKmvPIV4WCEYHGQQHGQV2+fyGcvf2WfpUxrdt6zE627tCSnSRYHDtmffif03erPEAlFKN7kx+FwcNEj5+CxqWWdLm+Wlx8//iXl+XX/bcDhdJDZKKPSZ6UK2ufdezpXPTeccDBCJBzhugF3smltIYGSIOFghJA/zA8fzebTsdMAuGD0meTkZeH2WWVUHS4H3iwvbbu1Skrj6vI4OaHcnm4hhNgaErjrgWmaTH5uCud0vYKTmw/j/jOfYM2ydQB4M722BTmUocjI8ZG/ZlNCLvJnrnqZRy98jgXfLaRwQ3FSPuyQP8TPU+bYbj1z+9wcOGR/xi16iknrXuHWCVexYtGqGvmMr94xkb9/XcbhZx/MCVceVe0c6OFAiP898mGl151z16m8uuhJrnr2wpTX2H15cbodfDJ2KhfvcT03HnoXxzU6m402eeLDgTAfj7HKkzZr24T7p4ygaevGoKy59G59duL2t69ltwN74PK48GZ4aNwil9vfujZhmF0IIbaWDJXXg2euepnPX5lOML5CfPrE7/j5s7mMnf8oewzsicNmIZXT6eC7935k6vgZAAwY2p9jLzmcj1+YWml97eL8EnbeqxMLf9oyx62UwuNzc9QFA5k3YwHPXPkyS3/7F4erZhZLaVPz3hMfc+mT5/Pek5/YFvxwe13EYqb1ZSPFYriSgsqH7UP+MKuWrKFNl1YYhpFy6Nztc4PWpUP3hsMg5A+zsoJyn2VtXJ1PoCSIUopbjhxF4fpC0FZP/rdv/mDEsaMZt+gpijeVUFLgp1XnFrZpW4UQYmvIvyp1LH/NJj4dO600aAOYpiZYEuT9pz7F5XYx6pPbyG6cSUaOD1+2D6fbialNCtYXEQlFiIQiTH1tBlfsc0ulQVsp6N53Z+77+FYOP/dgvJkeHE6DPQ/djSdn3sfaf9dz29H3s/S3fwGSEqFsjdX/rGP+t3/isCkWAtCpVwcmF77GURccutXv2ryiu1XnFrTp0ipp1MKT4WHYfadz9p2n0KJDM1S8p1wVheuLGNruYv738GSC/lDCKIYZMynaWMyPH/9Co2a5pV8ihBCipkmPu479/esy3F5X0kKxSCjKb9/8AcAu++zMW6te5JcvfiNYHOTTl6cx+/N5CdebKepGl6WUwpPhZtj9Q/Fl+bj6ueFc/dzwhGvuOvnhWtljbTgN9jp8d9xeV8redPN2TXF7XLTo0HSr3zd32nyC/hDeDA8jJ13PtQeNJBwIE41Yi8v2PrI3gy87EofDwWevTEuZJ70i0UiM4k0lTHr8I4I2e+AjwQgr/qqZqQYhhEhFAncda9GxuW3CEsNh0HbnVqU/u9wu9jlqTwDG3/V2ld+T2yyHnv27c85dp9KpZ/uU1y2d/2/KKl220qzCoVAcPfxQMrJ9VvWzosQhb2+mh6MuPBTTNPn4xeQV41WllKJwfSHe9s1o160NE/59jh8//oWNqzbRY/+udOndCbC2eS3fynn8cCBsrZYvl9DF5XHRabfUv9dCCFETZCyvhsViMQIlwZTBsO3Orei+z864ypWcdHlcnHTtsbb39Niva1oJRDZzOK00nBc+cGaFQRugS++OVVo4ttPuHfD43JWuFHe6naz4axUlBX669ulcetxwGDg9TgZfdiR9Dt+d377+g8L1RWm/PxXDadC4ZaPSn11uF/1P2IfBlx5RGrTB+r3xxFeDp+Lxudnz0N1sFwmC9SUhOy87YQW50+2kZafm7HX47lv1OWZPncfdQx7mlqNGMXX8DNu66kKIHZsE7hoSi8YYc+NrHN/oHE5ofA5ndr6UmR/ap2m96/0b2XdwH1xuJy6Pi+YdmnLXezfQcdd2ttcPvfUkPBmetHN6x6IxSgr9jL3pjUqvPeO2k3B7Kw5km7Xt1ornf3mYZ2c/yMh3byC3eU7Ka6ORKNcPuJOTWwxj1pS5pce11uQ2yS6tnrVh5UZiaQz7V+askafgcleeOtQwDI65+HBrCN+Gw+Xg0ifPY+e9dkoVt9Eanpv9AAPPPJCMbB+ZuRkMGjaAx76+e6vmtV++bQJ3nvgQ30z6kVmfzeWh857mzE6Xsva/5DKgQogdl+QqryFPXPoiU8dPTxg+9WS4Gf3ZCHr238X2nkBJkGBxkEbNcysNyv/+uYKXb5vAb1//TnaTHEL+IEUbSyos9ZmRk8EHm8ZV2vbff1jEc9e8yqJZS6zetyZpW5k308ML8x6mdWerEMbiOUu55qA7bOd6K+PL8nL1Cxcx4PT+rPp7Ded1v3Krgvdeh/di9Ge3A9Y++P89Mpn1KzbS54jdOemaY2ncPJcNq/J568H3+WXqrzRp3RhlKH6d8TuxiFXoxOly4MnwsPvBuzJ76jzCwYjtSniA7Lws3l3/SrXba2ftf+s5r9uVSeU+ATJyfLy68MmkYiVCiO2X5CqvZSWFfqa8+lVSta+QP8zr97zD6Cm3297ny/Tiy/Sm9Y723dtw56Qbtjw7EOLzcTP4ZtJM5n61wDbIZOR40bry6ls99u3KUzPvY8b/ZvLw+c/YFj55+sfRpUH7k7Ff8PTlL1W7fnegOMiyBf+VbqMyY1v35fHaFy8pbdezV79S+uXp39+XM+WVrzj91hN58cbXrWFnDct+X44nw8P5o4ay+8G74nAamKbGNE2uPeCOSjO91cY89txp8zEc9n9OgeIgkx7/iAvuP9P2vBBixyJD5TVg46p8nE77/c//LVpZK+/0+Dwce/HhPDh1JAPPOMBaAFaWgvXLN3Jy8/N557EP01qA9u27PyQFbbDSoP4z39ouVryphGeufKXaQXuznz6bw9X9R/D4RS9U3LZKZgc69myPL8vL4rlLef7acQkjHpFwlE1rC3nu6letBYFlXhPyh3jtrv/RYdd2dO7VkS69O/Hjx79U+rk8Ge7SYf6alNU4k1Tl2bWp+WXqrzX+TiFEw7TD9bjz1xZQsqmEVp1b4EgRbKuqefumtpnJlFJ03XOnSu9fPHcpMz+chcfr5uBT96d5+2ZVev+Vz1zAxtWbmP/tnyilrOHzeHMKNxQz7va3iIajnHbTCRU+J6tRJoahkj+LsoZrAX6d8TtOt4Nw9SuCArD4F/v64kkq+b6x7Pf/OLXVhRhOI62yneX99+cKdtq9IwBOp9P6/Cm2srft2opLHjuPXgf2qPJ7KtPniN64XE7C2HwGZf0dE0IIqKcet1LqGqXUAqXUfKXUm0qp9MaLt0LhxiJuGXQvZ3S4hEv63MQprS5gxtvf18izPT4Pp954XNJKa7fPzVkjh1R473PXvMLV/Ufw+t3v8MrtEzmv+1V8Pn56ld7vy/LxwJTbGTPvYfLKrKzeLOgPMXH0+8RiFSdXGXTBQFw2i7YcTgd7DNwNsHqc2xJtaiLhaLWCdiQSpVHz3NKfDxyyL4bNlzm318WEf5/jlT+fpO+gPbaqvam4PS4e+nJkUq5zsFa5n3zd4Fp5rxCi4anzwK2UagNcCfTRWvcEHMBptf3ekcc/yNyvFhAJWQU4CjcU89D5z7Dw58U18vwzbz+ZSx47h5admuPN9NDroB48Mv0uOvdKnad6/rd/8PGLXxLyhzFjJtFwlHAwwhMXj6FwQ9W3SLXp0oqC9YW250KBMP7CitOHdt1rJy4YfSZur4uMbB8Z2T5ymmRz/2cjSguflBT4CaSxIC3dFfAVPsNgq8uCVmT3A3vQpFXj0p/bdGnF8Aetz795y5vb6+bK5y6kWdva7/HuvGdn3lz+Al377ITT5cCX5SWrUSZXPz+cnv261/r7hRANQ30NlTsBn1IqAmQAtTMRHLdi8Sr+mv13UuKTcCDC/x79kBFvXrPV71BKcfSFh3H0hYelfc/0t76zzVrmcDr46dM5HHrmgVVuR9uurVk0K7k+tS/LS2Zu5RW0jr98EAOG9ufXGb/jzfTS+5BdS4P2tDe/4dELn0+52nozl8fJWSNP4c373yVQVP0x9c69OrB84apqlQX1ZXsrfHdmbgY3vXZF0vHjLhtEv+P7MnPyLJRhsP9xfchr2djmCbWjUbNcnvlpNBtX51O0sZg2O7eyrRYnhNhx1XmPW2u9AngY+BdYBRRorT8vf51SarhSapZSata6deu26p0bVubjdCf/46e1Zs3StVv17K2hDKPCJB/VMez+M5ISjHgyPJxz1ykJe4w3rMrng2c+493HP2bF4lWEg2GK8ovRWpOTl03/E/ahz+G7JwSNF296Pa0hadPUDDi931bnPf/39xVc/Ng5Vu8/x2f1viv5bVFKsfuAXa296RVcGwlFeGz4C7bnmrZpwrGXHMExFx1Wp0G7rLyWjenQo50EbSFEkvoYKm8MHAd0AloDmUqppH0uWusxWus+Wus+zZpVbbFWeZ17dUjKDQ5Wz3Dz3G19GDD0ANvkJ7GYSd+jqjeXuufA3Rj57g102q09TreTFh2bccUzwzjusi01oae9+Q1n73Q5L974Gi/e/Drndb+KY7PP4pSWF3ButyuZN31B0nOjkSgbVmxMqw2GoXD7PJxy4/F4t6IWdzQaIxYxOf++oVz86Lk89eP9HHvx4VYyGkPRpmurhEQqhsPAm+lh78N7WyMZFQwMhIMRZn0+j2V/LK92+8rKX1vAWw+9zxOXjOHLN74hbPP3TQghakKdJ2BRSg0BjtRaD4v/fDawr9b60lT31EQClldHTmTSox+VbndyOB1kN85kzG+P0rjMAqW69vJtE5j0+MfomInhMNDAja9ezkFD9quV9xWsL2Ro+4ttE31s5s308MzPD9C+e5vSY1prTm5+PoUbiit9R4cebRk7/zG01tw95BG+fe9HFGA4HDgcBrFYLO2EK95MT3y7mKLHfl2598ObcXvdpfvT5341nzdGTWL132vpsX9Xzrz9ZKZN+JbX73mn0me7vC6uH3sJA4YekFZbUvnzp7+48dC7iUVjhIMRvFkemrVtylMzR5GZm7lVzxZC7Ji2tQQs/wL7KqUygAAwEKj1tGjn3HkqnXZtz/8emUzBuiL2HtSbobedVK9BG+D8UUM57OyD+OGjX3B7XRxw0j41PjwbDkWY/MxnTB0/wxoOr2SOOhyM8O7jH3H18xeVHlNKccaIk3jltokJJUnLU0px82tXAjBn2nwr3am2Or+xaMzKyFaFWYCy+8oXfPcnE+57l3PvPq10KqH3IT3pfUjPhHs69GiLL8tb6SK6SChCy07N02+MDa0195/5ZMK7gsUhVi9dw5v3v8cFoyVpihCiZtVLylOl1F3AqUAUmANcoLVOGQ0aQsrTbZVpmlw/4C4W/by4Sou82nVrzVEXHkrP/t3ptncXlFJorZn0+Ee8fs87lGzy296X16oxb60YA8DdQx7hm0k/JF+UZoUxO01a5zFxuf3c9GaRcITzul3F+hUbk1K3lvd57O0qryfQWhMKhHF7XWxYmc+5Xa+wHcFo1q4JE5Y9X6VnCyEEbHs9brTWI4GR9fHu7dnU12bwxj3vsGH1JnbavSPDHzqLYHGQxb/8XeWV2f8tXMmYG1/D7XHRZY9OdOjZFjQcclp/Jq17meG7Xce/f65IuMflcTJgaP/Sn/2F9sHdcBgp64krQ2EYKuVQeiRc+dyxy+3iqR/u49mrX+Gbd39MuUjOl+2tctD++p2ZPH/dODaszMfldrLv4D4p98evX76RhbOW0K1P5Ul4hBAiXVJkZDvxzmMf8ertExOKjngy3Aw4/QA+felL23sMw8A00y/uoZS1Qn3gmQdyzEWHcf0hdxINRwkFwviyvDRt24QbXr2MT178gn9/X44vy8v8b/9M+tLg8rpwOh0ES4KU/etnOAzMmInD5cCMmkmpUB0uB4efczDXjrk47TabpslJzc6nOL8k6dz5o4Zy+i0VZ5Mra9bn87jzxAeTVtYrBan+b5TXqhETl4+pkX3tQogdxzbX4xY1KxqJ8tpdbydVCgv5wyz4fiGeDE/SOXeGm32P2ov2u7YhWBTk63d+YO2/FZeP1Nqac/7itRkMGjaQ8Uue5ss3vmHl4tXsun83cppmc8OAu4iEIpgxE6fbgRnTuH0uwoEIhsPA5XZyxbMXsMs+XXntrrdL27d22brS4eayPWSX10UkGMGb6SGnaTbnjzq9Sr83hmHw1Mz7uKrfiC1JbRQcfs7BVQraAOPvfMt2O1xF3303rtrEv38sp0MP+5KtQghRVRK4twMbV29KObRcsL4QhzN515/b7eL6Vy4trU528Gn9uf6QkbZFRsoLByP88OEszrnrVE644qjS4+ftclXCF4RoOIZSig67tKXNzq1p1CyHoy4cSKfdrGxyt8UT39xx/AMsX5icg8eX7eWgIfujDEWPfbty8Gn9qrW9rG3X1ryz9iWWzP2H/LWb6Nl/l7SrspW1csmaKt8DsHjOPxK4hRA1RgL3diC3aXbKbl/rnVpy2RPncc8pj7JpnZUONa9lI+5457qE4JXXslGlC7k2czgdeMsFvkBxgFU2gU1rzfK/VvPsrAdTPs9lkxwHrBXqh5zenz2rsdd+4+p8pr/1PcWbStjrsN3psV9XuuzRqcrPKavTbu2ZO22+/ckUC+6UUuQ2y96q9wohRFkSuLcDHp+HYy89gg+f+zxpjvvsO0+h295deO3vZ1i+aCVKKdrs3CppzrVZ2ybsfvCu/PLFb5ixiue9DUNx8Kn7JxxzeVwYDsM2+GfGK4ulcuT5A/jp0zm2dcB7HbhLhfeWp7Vm0mMfMfaWNwBr2P1/D09mn6P34tYJVyVkj6uq8+49nesOHpmUOhfA6XQQjcaSgrfb66qVamJCiB2X1OPeTlww+gxOvPoofFleHE4HTVo35vqXL6XP4bsDVs+vXbc2tO3aOuVCqRFvXUv3fXZO+Q6H08DtdXPNixfTokNiNjuny8khp/dLyGQG1mK2E648ior0OaI3R10wELfXhdvrwpflxZft5e73b6pSys9oJMqtR43ihevHE4vESufKgyUhfvx4Nt+991Paz7LTY9+u3PfJrXgzE4frPRkeLnjgTPY5as/STHgOp4HL6+LWCVfbZscTQojqklXl25lYLEawJERGtq9aK5ljsRinthlOwdrEKmMuj5OTrz2WIdcPJrtxlu29QX+Ie055hLnT5uPyuIiEIgw880Cueu5CHI7Ka58vX7SSX774jYwcH/sftzcZ2ck99VVL17Dir9W036UNzdslVux6/+lPGXPDa7bpbQH2G9yHu9+/yfbchlX5zJ02n4wcH3sdvjtuT3J5083CoQhfvfkt30z6gey8LI69+HB67NcNrTVzps3n58/mkJOXxcAzDqhybXUhhICKV5VL4BZJFs9dyk2H30M0HEWbmmgkSp8jenPk+QPoc0TvCoMaWMF19dK1dOjRtsaywIUCIe455VHmfPkbLo+LcChC/xP24cZXLyvtlV+85w0smftPymfsf9ze3PXejUnHJ9w3idfvmYTT5UApheEwuP+z2+jeN/XogxBC1KaKArcMlYskXXp3YuLyF7h1wtXsMbAXYKUvfeDspzit9YUsmp1cNrSsVp1asMeA3Wo0devz141nzpe/EQ5GKCnwEwlG+P79n5gwalLpNRXNzbt9Lo4495Ck4/O//YMJ971HJBQhUBzEXxSgeFMJtx19H9FI8lx2fYnFYmklnxFCbP8kcAtbLrcLl8fFL1/MIxKKEiwO4i8MUJRfwm1H3Zf2CvSaEIlEmfLKtKS0oqFAmMnPbakIe+hZByWVNAVAwSGn9mO/wclfXj8Z+yXhQPIWuGgkZlslra75iwI8cO7THJt1JsdknMFlfW9m8Zyl9d0sIUQ9ksAtUvpkzFTbfd3hYIT53/1Z6+8PhyI8dflYjm90DpGQfe83UBQo/fXxlx9Jlz074c2ytqo53Q5cHic3vno51798me2cf6A4kDKBSjq1x2vapnUFLPx5MYUbrWQxI465nxlvfUckFMU0NYtmLeHag+5g3fINdd42IcS2QbaDiZQCqZKxKKx61zVMa83cr+azZO4/NG2bx8u3vWm7N7y0GQp2K7PVyu118+iMu5n9+Tx+/eYPmrbO45DT+5GTl3of9UFD9mfWlHlJX1Ci4Ri9Dqq7bVzRSJTHLx7DtDe/xeV2Eg1H2W9wHxbOWpL0pSUajvLhc1M4f9TQOmufEGLbIYF7B7P6n7Us/HkJTdvk0WO/rhWuPD/41P35dcaCpKAWi8bo2b97jbYrUBzg+oF38d8fK4iEo8RiMXQs9cJJp9uB2+vmkkfPSThuGAZ7H7kHex+5R1rvPeCkffn05Wn8/v1CgiWh0rSslzx+LlmN6q6W9qu3T2T6xO+IBCNE4lMC37//s20RtUg4yt+/Lquztgkhti0SuHcQpmny+EVj+PKNr3G6nGitadImj4e+HEnT1nm29xxyWj8+f3U6f/60mGBJEIfTwOlyctVzw/FlVZxUparG3fk2S3/9N+VWrrI8GR6OufgwTrr6GJq1bbJV73U4Hdz3ya388OFsvn3vR7IbZ3Lk+QPp3KvDVj23KrTWTH5uSlIxlohNohewkrpUtN9eCLF9k+1gO4hPxn7Js1e/kpBZzXAY7LLvzjz+zb0p74vFYsycPIvvJ/9MTpNsBg0bSIdd2tZ4+4a0GFaakrUyR5x7MNe/fFmNt6G+mKbJka7TkqqhgZU4x+V1lU5NKEOR1SiTl/94nEbNcuu6qUKIOiLVwQQfPP1pUoUwM2ayaNbfbFydn3LrlsPhoP8J+9D/hH1qtX2xStKslrbH5eC0W06s1bbUNcMw6Lhbe5baDH9369uFPQb25JMxXxD0h9jz0F5c/Mg5ErSF2IFVGLiVUjlAM631knLHe2mtf63Vloka5S+z+rosw2EQKA7WcWuSHXjyfkx59SvbPOCbGQ6Dez64ibY7t6ry8wPFAT4fN51fvviNVp2bc+wlR9CmS9WfU1uueGoYtwwaRSQYxjQ1hsPA7XVx+ZPn023vLpx/ryxEE0JYUm4HU0qdAvwJTFJKLVBK7V3m9Ku13TBRs/qd0Ne2CldWowxadW5RDy1KdP59p9O8fVN88a1c3kwPngw3jZrn4s30sPeRezDm10fSXnRWVuHGIob3up4Xb3qD7z/4mfef/oyLet/ArM/n1fTHqLbdDtiFp2aO4qBT+9Fx13YMGNqfp38aTbe9u9R304QQ25iUc9xKqbnAIK31KqVUX2A8cIvW+j2l1BytddX/Ba0mmePeeoUbi7h0r5vYtK6QkD+E0+XA4XJy13s3sNdhu9fKO7XW/PzZXD4Z+wUhf4gBpx/AIaf3S1k4JBKO8N17P/HXL3/TpksrDj6tn22+8qoac+N43n/y06TFXnmtGvHmfy9sVcUwIYSoDdXKVa6U+k1rvVuZn1sBHwHjgHO11nvWRmPtSOCuGYnDxS0YfOkRtN6pZa29b8yNr/Hhc1NKt5N5Mz1077szoz8fkVbRkZpydpfLWfV38n5wT4aH5+c8VK2hdyGEqE3VXZxWpJTaafP8drznfTDwPrBrTTdS1D5flo/jLhvEcZcNqvV3rVq6hvef/rR0TzJY5TX//HkxP378C/sP3ruCu2tWql67GTNLh+aFEKKhqGiM8BIgITuH1roIOBI4vzYbJRq+eV8twOFI/usVLA7yw0ez67Qtx11+JJ6MxBrahsNg570606RVzRVCEUKIupAycGut52mtF9scj2it36jdZomGLrNRpu3csdPlILdZTp225YjzDmHg0P64vC4ycnz4sry07tKS29+6pk7bIYQQNUH2cYtasc9Re2DY9LgdTodtec3aZBgG14y5mKG3ncSfPy1OK92rEEJsqyRwi1rh9roZ/fntjDjmfivrl7LmlK9/6dJ6WwzWokMzWnRoVi/vFkKImpJW4FZK+YD2WuuFtdwesR3p1mcnJq54gT9mLiIUCLNrv+54y801CyGEqJpKA7dS6ljgYcANdFJK9Qbu1loPruW2ie2Aw+GgZ/9d6rsZQgix3Ugn88SdQF9gE4DWei7QqdZaJIQQQoiU0gncEa11Qblj235JMSGEEGI7lM4c9wKl1FDAoZTaGbgS+L52myWEEEIIO+n0uK/AypQWAiYABcDVtdgmIYQQQqRQWVlPB/Cx1voQ4La6aZIQQgghUqmwx621jgGmUiq3jtojhBBCiAqkM8ddDPymlJoKlGw+qLW+stZaJYQQQghb6QTud+P/1RilVCNgLNATa4X6+VrrmTX5DiGEEGJ7VGng1lqPq4X3PgF8prU+WSnlBjJq4R1CCCHEdiedzGlLsdm3rbXuXJ0XxufLDwTOjT8nDISr8ywhhBBiR5POUHmfMr/2AkOAvK14ZydgHfCKUmp3YDZwlda6pOxFSqnhwHCA9u3bb8XrhBBCiO1Hpfu4tdYbyvy3Qmv9OHD0VrzTCewJPKe13gNrwdvNNu8do7Xuo7Xu06yZVHQSQgghIL2h8j3L/Ghg9cC3phzocmC51vrH+M/vYBO4hRBCCJEsnQD8SJlfR4GlwCnVfaHWerVS6j+lVLd4mdCBwO/VfZ4QQgixI0kncA/TWv9d9oBSamurg10BvBFfUf43cN5WPk8IIYTYIaQTuN/BmpMuf2yv6r40Xhq0T2XXCSGEECJRysCtlOqOVVwkVyl1YplTOViry4UQQghRxyrqcXcDjgEaAceWOV4EXFiLbRJCCCFECikDt9b6A+ADpdR+ko5UCCGE2DakM8c9Ryl1GdaweekQudb6/FprlRBCCCFsVZqABXgNaAkcAcwA2mINlwshhBCijqUTuLtorW8HSuIFR44G9qndZgkhhBDCTjqBOxL/301KqZ5ALtC89pokhBBCiFTSmeMeo5RqDNwOTAaygDtqtVVCCCGEsJVOPe6x8V/OAKpVylMIIYQQNaPSoXKlVAul1EtKqU/jP/dQSg2r/aYJIYQQorx05rhfBaYAreM/LwKurqX2CCGEEKIC6QTuplrrtwETQGsdBWK12iohhBBC2EoncJcopZoAGkAptS9QUKutEkIIIYStdFaVX4u1mnwnpdR3QDPg5FptlRBCCCFsVVQdrL3W+l+t9S9KqYOwio4oYKHWOpLqPiGEEELUnoqGyt8v8+u3tNYLtNbzJWgLIYQQ9aeiwK3K/Fr2bwshhBDbgIoCt07xayGEEELUk4oWp+2ulCrE6nn74r8m/rPWWufUeuuEEEIIkSBl4NZaO+qyIUIIIYSoXDrbwYQQQtQyHf0Pwj+BkQueA1HKXd9NEtsoCdxCCFGPtNbootHgnwDKgTUb6YS8cShXj/puntgGpZM5TQghRG0JTQf/RCAE2g+6BHQBOn84Wpv13TqxDZLALYQQ9Uj7JwIBmxMlEPmtztsjtn0yVC6EEPVJ2wRtABToYJ02xY42S9CByRD9DRxdUBknooxGNff82FqI/QOO9ihHyxp77vZMArcQQtQj5TsWHZ1nE8A1uHvXR5O2tCC2Br3hJDCLsEYFvOiSZ6HJRJSzy9Y9W0fQBbdC8FNQHtAhtPdQVO6DsjCvEjJULoQQ9cl3HDh3BZURP+AEvJBzP0p56rNl6KIHwNzAlqH8IOgidMGIrX928dMQnAKEQRdZ/xuchi56bKufvb2THrcQYrugdRR0GGVkVH7xNkQpN+SNh9A0dGgGGHko38koZ4f6bhqEvgJi5Q5qiMxF69DWfbHwvwGUnwoIQmAi5NxU/efuACRwCyEaNK1D6ML7ITAJiKId7VE5d6E8+9Z309KmlBO8h6O8h6e8RusYRBcCBji7oZRKeW3NcaU4brDVA7ban/K41rqOPl/DJEPlQogGTW+6Ph60Q0AMYkvR+RehI3/Wd9NqjA7/jF7XH71xKHrjaeh1h6AjC2r/xb7jgfK9aid4BqBUqqCeJtfu9sedPSVoV0ICtxCiwdKxNfHh3FC5MyF0yYv10aQap2Mb0PkXWnPN2m/9Z65EbzwHbabotdYQlX0NuHoCPus/lQGOjqjcuytub/ArdOQ3tE5dn0rl3B6f19+cXdsBKgOVc0dNfoTtkgyVCyEartiK+IrkcLkTJkQX10uTalzwQ9Dl55kBohD6AnyDq/VYHV2OLn4Swt+D0RiVeQF4Byf0dpXyQd4EiPwK0T/B0RHcfW17xFYGuEfA/yooN2CC0QryXrHd5qVcPaDJZHTJSxCZD65dUJkXoJwdq/V5diQSuIUQDZezI+jyvW0AB7h61XVraoWOrSN5RAHQkfiKb5tTOgqhGRD7F5y7gHufhGCrY6vRG44HXQyYYK5FF9wB0aWo7KsTnqWUAvfu1n8VCU2BwGtYq8TjX6Ri/6DzL0U1fdf2FuVsj8q9q+LniiQyVC6EaLCUkQe+IYC33AkvKvPCemlTTVOefcpsFSvLCe69k47q2Br0+sPRBdejix5Bb7oYveEktFmy5ZqSsfHFYWVTqgag5CW0WZj0zHToknE2e9FjEP0LHV1erWcKe/UWuJVSDqXUHKXUR/XVBiFEw6dyboesq8FoAcoH7v6ovLdQzvb13bSa4e4Pzp4kfjnxWRXEXD2TLtcFt0JslZUylbAVoKOL0MWPb7ko/DMQTX6XckN0SfXaaRakOGHE92mLmlKfQ+VXAX8AOfXYBiFEA6eUgco6H7LOr++m1AqlDMh7Ge3/HwTeBeVE+U61EreUo3UIwjNJ3nsdhsAHkHOb9aOjvTVnTbnFYzoMjhbVa6jnUPAvSX4mAbTRFFknXnPqpcetlGoLHA2MrY/3CyFEQ6KUGyPzDFTei+DsiC66B71mb8z8KzBD36FLF+dpkgPnZluGxVXmBSRv83KDe2+Uo3Wl7dFmCTq6zPqiUHp73xRXOyHwfqXPFOmrr6Hyx4EbSZxgSaCUGq6UmqWUmrVu3bo6a5gQQmyLtA6jNwyBwIfxYfBia0FY/vnotfuhg1NRyguu3iT/0+4E7xGlPyn37pD7EBhNsIbg3eA5BNXoyUraEMUsvAe9dl/0huPQa/tiFj9rJUzRa0laawBANN67FzWlzofKlVLHAGu11rOVUgenuk5rPQYYA9CnT5/UmwGFEGIHoAOTIbaa5LlpbeUP33QdNJ2Myr0fveHU+Gp7v7WwzWiCyr4u4S7lPRxtNIHoPHDuhuFJ1WMu86aix8H/P6za4fGDxS9YQ+GuXUjZ26/FnOs6tt5aQa+c1pcPY/uffa2POe5+wGCl1FFYX89ylFKva63PrIe2CCFErdFmCQQ/RceWoVy7gmcg4LT2RUd+BiMPPIejjKyKnxP5HQpHApEKroqiA29jZN8Izb6E4Mfo6D/We72HJ1Tc0mYhesOJEFuONfBpYDp3QTWZYO3dtmuDNiHwOsn5xQNQ8jyq2TS0ox3E/kq+OfgxOntEjeeRN0smQNH9oAzQCrgdnfsIhu+wGn3PtqbOA7fW+hbgFoB4j/t6CdpCiPqgo0sgthZc3VFG4xp+9j8JPV+tMkA1t/aeh3/ECsJuUPdC3quoFPvOtdboTVdRcdAGiFqfBawvAhmnplwQpjdeaO3xLmVCdAG64FZUo1TVuUIp9swDsfh+cmcX+8CNw1o05x1YyWdIn47+DUWjSej9AxRch/bMqPE/z22J7OMWQuxwtJmPueEU9PoT0JsuQ689ELPo0QpTdFb5HQU3gd4ExNOSaj+Y/0H4G6wymVHrnC5G519m9WjtxJZDbE0ab8xAeQ5CaxMd/Bwz/1LM/MvQwS8SPpdpRiE6x/4Rwc8qeL4XjOQMaAC4elj/qyrqC9bsunId+BD7LW0GBL+s0Xdta+o1cGutp2utj6nPNgghdjx60zVWmk2C8exhIfCPg+DHNfN8swQiv5E85xsjeasW1j7nVAu4lGHznPLc4OyE9hyOLrgBvelGKx1qaKqViKXw5jLv2ljBc+xSq8aboRQqZwSJC9AU4EVlW89XvhOsvfRJTPDsV8lnqCIdLyqTdNzENtPcdkR63EKIHYqObYDwLJJ6azqA9r9SMy9R1fmn1T44K0cbcLQldY/VAa49wdESih6B4FRKe/lg9fQDn5ZWE1NGo9TPUpmJLYrMx9x0HeaGoZjFz4J7L1TeS+De1+p9uw9GNZlorVIHcPcD73FYwd0Z/18vKvexlHPn1WWVQLVbxa7Bc3CNvmtbI7nKhRA7Fl0IymEfJ81NqW+LrUH7X7d60s7uqMxzUI5Wttcq5UO7+0D4JxJ3vW6uY13uS4PKsHKKp6AaPYneOBR0kC29SQNUC9D5EJmNNQfuTH42ABF0aAbKtStKudHeEyBokz88a8vKczPwCRTcDIStzxD5De1/E9X0A4y88Sk+t0Ll3o3OOB1CX1tfBLyDUI4mKT9bdSl3b7Tv+Pge8SDWlxE3ZF1mfdnZjqmanNOpLX369NGzZs2q72YIIbYDWsfQa/e3Al4CJ/hOx8i9fcu10aXownsh/ANWYDSwArELlBuV94ZV5cruPbGV8cVpxdawrnKD0RGMHIj+Gs8V7gVloBqPRbn7VNLuAASnomMrrdXozt5QcAnE/kvzk7sg43yrVCcmuvAuCLyD9Q3GCVlXYWRdGH9XJP57VD6NqQsyzsbIuSnNd9YurTVEZqEDn4FyoXyDU/55NDRKqdlaa9u/FNLjFkLsUJRyoHPuhoIbKO1N4gYjB5V1cel1OrYOveHk+Bz45g7O5t5zBHQEXXgXqslb9u9xtIZm09DFT0DgI6u37NoJMq9EmSvR4R9RRhPwHZPWCmilfOAbXDrIrWNrrXrkaYuAf7z1SVTM2pLm7g++k1DegSjl2nJpdCn2q9gjEJoGbBuB26pctjfKptjK9kwCtxBih2P4jkA726JLXrFWbbv7oTLPsKqNxWn/G/EFUBWMSkbmorVp5RO3of1vQslrWKvIsRa/hb6CJu9jlCufWVUahf2weEUC4B+D9U9/BPgDIj+h9R2ojJOs52qNjsyPD8vbMBpVu801xeppb94L3yS+Fz6z8hu3ExK4hRA7JOXaFdXo4dQXRH7F6pFXxEOqhV5ah6H4MUqDNgAmaD+65FlU7uiqNbi8otFUvtrctmUk9KZ1AIruQ/uOtea/ix4B/3hsM1IrHyrzvIqfHl1srQNwtAVXn4Q64DVB6yh60xUQ+p7EvfDjbKullW2XLnnJqn7m2hOVeS7KkWJ72zZOArcQQthx7VImUYodD/hOTB2YEhKclGXGF61VnzbzITiF6gVuuwdG0YFJaOdu4H+VlF9YnL3Bc4TtKSugXh1PP+qwDhotIO91lKNZuWtNMFeDykQZuVVrqv/deNDe/IUoamV9zb8cmn1l++ehQz+g84ezZaHdAnTgf9DkXZSzQ5Xevy2Q7WBCCGFDZZxpLShL4gC84O6LyrnZ5nyc0QR0iqBvVF6Bq0KxNVB2TnqrBaDwQdh4ChXUfoLonym/qOiSV6yV5ISshXfaD7F/0QXXJ14XmoFedyB63ZHotftjbrwQXcFq/iTBt0kcxdj84HyIJmdt01qjC2/HWnledo1CCbroofTfuw2RwC2EEDaUoxUq7w1w9aJ0q5FnEOQ+Gt8S9ZJVjSvV/UZj8AwguXymN2ERXFXpyML4HHRlKVBtODqmSJACUII1Z17BvLnOT51dLjCR5DzmMQjPQpuF1u2RRej8K8BcG782AuHv0fkXWT320Ex08Cu0WVxBG1KNMihsv3ToIoitsLnejNcub3hkqFwIIVJQrh6oJu+gdRRwVGm+VusIuPpYW8l0GGsLmQeyb0J5+le5LVqH0PmXWMljlANrmFyRPFyeB+TbHPehsi61qmkVP4kV5Cqbwy/H0Tn170GqxWyo0hzn2nYYPgKReeg1m7dxuQADnXMXRsaJyY/znQBFf5H0JUFlgbOrzeu9pOyjqoZZSUx63EKIBkfHVlvzlrFVdfI+pZxVDNoanX8hFD8Sz1ceD7KufTAyTqlWG3TxkxD+GStNawlb9pVngWpk9e4zhmENIycHbVy7gfdoVMbQeJWyioK23Wf1onJus2+b1uDc1f5RjtZgNLV+HV2G/VB82WMRIASFd1oL3cq3LOMUq+a42lxpzGvNlTd6IsXqfpdV/MTm85B5jn2bt3HS4xZCNBhaR9AFN1sLs5QHdAjtGYBq9HBC2cp6F54JkbkkzsWGIPIdOvIrOHeLb2eaB44WaGd3VPhbwAGeQ1GOpsnP3FwHO0HMekfG9eBsXWZvelkGeI9C5d4DaPTG01LnRd9MNYPMs6ytbLoInDuhcm6x3S+tY2vRG04Bc2Xye5UXlfvgli897n2tz5xWTz+M9r+TtI5AKTfkjbOG2MM/o4ym4Ds65V54XfwURP9OPuHeD5Vxdhrt2PZI4BZCNBi6+Ol4Lu5wfPgZCE1HFz2CyrmlXttWlg7/FM+MVv5EBB36AYo29543F8kIo3Fj9aBHoXNGYWQMLndzqsIZMSh5oILWmBBbgVJOdPAziKZa7V62nWut0YLNovPRRQ9C3viEnONaR9AbTgBznf1zcp9FuXuX/qgyz0AHJoBZQOV70E2bzG3x5ygFnn4oT7/EO8JzoWQMxFaBa2/ry4f/ZZLn3gFdkHL//bauYbZaCLFj8k8g+R/hIATss5fVFyuRi93CNTdE/ohvBwtg9Tw39z7DWJ8tBIW3WcVQEm49gGr/k21uQJeMRQenkVCApCoi86wtV2WFpleQ392ESGKqamXkoZq8B76TrK1iqgmp+48elCf9+t1mwUjYeKpVFS26AAKvwvojQaf4ghD9J+1nb2skcAshGg5dkuJ4IHU96/rgO8a+QpgyILIA2x5gAgNCUxNvzbkFVC72XwgqEVuMLnocgh+yVQOt4W8w/WVqdkf/oaJSoPjHo83EMqLK0RIj9x6M5t+gmn2cYpW7siqeeQ5JOKojizALbsfcOAyz+OXS1ec6PBsC/yN5bj9C6j3pdvPeDYMEbiFEw+Haw/64s+c2NeypjDxU4xdBNcZaJe20VjA3fhFUOl8wIpQPiMrRBtXsc8i6ykqEgqOC+w0SA7zGCmAxqp4mtZyiMhnfXDtbaw1S0QF0ycspTysjD5U3EVy7Y7VZgdEMsu9C5b2EUls+ow5+YeWOD7wD4W+g+DH0uoMwN5yJLryngs9l1QxP5EVtZcrZ+rTt/E0XQohKqJwR8dXEm3uNDisNZ+7I+myWPSMPa7X05jKeUWvxmOcwkvd2lxeNr/xOpIxcjKxhqLznSR243ZBxodVjrQ165ZbRDfcBYLQhdSiJQPDLCh+nXDtjNPkfqsVcVIv5GM2/w8g8DaW2jAxoHUUX3Io1UrH5C03IWjgX+Qmiv1fwBgMyr7CG5nFaJVkbP19pNbZtmQRuIUSDoVy7oJpMBt+pVi/NdwqqyWSUq1edt0VrjY6tQsfsF2bpgput2t+bF5VpP8RWg7kRnJ3KbGdKwWiW8pQy8iD7OpKHvRUYbVDZl4KzRSWfwAve41BZN0DmJYAb68tAGqvzY9YqbaUckPcGFX4RSaPymfUsb2KFsrKiS6nynvPNnD0xsi/EaP4NRsvfMZpORnn2r96zthGyqlwI0aAoZ/t672Hr8Dx0wXVW6lG0tZ2r0WMoZzu0WYwuuC2+7am8KAS/RLWYCaFp1nW6MPkyo2XCMLEdI/M8tGtPa3935E9rrtg3BJV5prXy23u8VafaLj0oAEFQTlTWhVYal6wr0aHpEP7F+mJR/KSVTzyJ23pffI5YRReilZEibboTVRN7pY0s0BXMpaei8lCNn9r6929jJHALIUQV6Nh6dP45idu9ovPRG89AN/0M1h1pbadKqQhC36C8R6BDsyAwrtx5NxhNMdf2B0crVOalKO8htk9S7t1ReS/Zv8a9L2ScFq/0ZRf0XBBZillwJ/hOtPaVFz1gZWXTMVJuP1NOcLTb8rO5GlItDHR0As/h9ueqQDlaoV3dITKfChfDAWScA2Y+eAaivEdsU2sfaooEbiGEqAIdeM+m92da861FT1QStAE0etPV6KxL4/m9y4tZ25nQYK5Fb7oKnTMiKeOa1qH4dqxCcO+DcrZPOK+UQjvaYw1/2wW7CER/sf4LTKA0fWqFBcecoPLQxU9YueB8J6KdPUkZ5H0nJ2Sc09qE8PcQXRQP6gdWOrJQKud+2HimVUwkZSMzMcpkd9M6hg5OQ4e+BiMP5TsR5Wyb3vu2YRK4hRCiKmLLsQ1UOgyRn9N8SAiKH031gnI/B6HoIbTvxNIFWzqyAL3xHKySlhow0RmnobJvLQ2UWgeg+EHSnxtOo0SoygBzBYSXW3eEfwZPv9T36vwtvzQL0BvPsAp+6LBVec1oBk0mxve9V9Ayswg2DY9vB6ygyEij+7bcoyPojedbtcHxAy50yVho9DjKO6Dyz7oN2/7GEIQQohZZq5Ht9h5HqjAPW8U62joUr6gV70VuPNuaG9d+rDnsEPjfhtBXZZqziIq3jFWVIz4fX7btIQh9Q8q95eFftnyEotHWIrPNedZ1CcSWowsqX6+g/RMgtpbkL0wK8ICjC6rxyxjeQVtOBT6whv9LE85EgCC64Hq0ruZCt22EBG4hhKgK7xHxilM2YkuonX9WtVVIhHjda11kc00A7S+TQc7Iq17pz5RSfSmJxP8rz2EtciOeAjbwns11UQh9mbpU6Gab09zavEM1HovR7JOk9Kc68AEpF+bZLhxsOCRwCyFEFSjlTlyclXDSA1nXk7w9Kt1ZSSdWwpbyNNo/wZoj9r+d+vbYljzkytkOXD2r8O6KVLJFzGhJcu/eBc7OmAV3WEPWtlXBAKLoNbthru2HWfyifQY8u7zvm+/VVnDWkYWYRY9hFj2KjvxO6s+tsf89bjhkjlsIIapAaw26OMXJiDV/mjkMHZkXXzjWB4KfWsUuzE2AAeYam5sV5IyC0A8Qeq/cuTAUP46O/VtBbnAgtgwdXQbRv9HFj8cLiritZytPPG93iCoP1Vc45K7ALB9YHVabix4h3UpgmOug+Cm0uRqVc3u5V2SluM9AEcIsfh6Kn8Xq0ZvokhdJ+RlVBtTDvv+aJD1uIYSoAh2YZC2wSqLAtQvK2RmlFIa7N4b3QAwjAyPjJIymH6OafQOeQ23u9UHmZSjf8RD5NsWbw/F83Db7vktF0QUPojddBdE/gBKsOV4NniOg2Vfgrk7ykVR7wQGygE0kDqXHsHrYVZ1LDoL/bbRZriqYZ2/sw5UbjQuKn2FLVjVd5v1lWWlnVeMXGvwWsYbdeiGEqGv+V0i5/Sn34Qpv1UWPQODd5BMZp6GyrgAdsDKrpWQXkMqJfEFyEZMoBN+F9QPBaFXx/VVWXHmbqkK5ILYs8VDGUJt1BS5wdUfF/iG9EQQFzaajXD1rqKH1RwK3EEJURfneYCl3Qn7t8rQOgv81bHuv0T+tbVzKCypzKxuYKohpa644WH4YfmtVddi9sseFwZG411o52qAajwNnV6xheJeVYKXxWKwZX2XzoGSqsuQtDYQEbiGEqApPf2znfI3ceCGLFGJrSRlgoksArCHczIuwz/2dXnCq3LYcvBzgGWS/r9vVHdXkA1Tzn1Et5qAaPQYqG7xpZmYzmloV2rYDsjhNCCGqQGVdhQ5+Fd+PHMbq/7hROfdUPHfqaFGanCyJs+uW52degEZDybNlVlM7rLnp8LcpHrAdMRKHxHX4J2uvd2wp4LZqdMf+i2eXc4PvJMi+DYpGYf1ZxEieWzcg67qELG4Nmap0/9w2oE+fPnrWrFn13QwhhADi+cr94yD8EzjaozLPR7l2qfQ+s/gpKB5L4nC5F5X3Gsq9e+I7tAnaj9YKZXispCFr+2EtONueuVHNv0YZeejIIvSGIVS8OM4D7n1RufdZe8LNgjKL1TZzgms3jCZvpXpI2nTkT3RgMhBBeY8E15618oVAKTVba21be1R63EIIUUXK0RSVfV3V78u8HK1yoWRMvLxnV1TOrUlBG+LD5ioLzCL0pmsh9CX1M8ztxKonXlMMKlzMpjzW1IE7L76tK8VCwFIhCP8A2o/KOA1d9BjJv09RiPyJjvyOcvWodsvN4peg+AmsHr1G+98G3/Ho7FtQSltV2eqABG4hhKgjSilU5tmQeXba9+j84fHUnTWZBa0KVFMgDHqj9UUi1R729B9orWzXQdCbSBr6L7s4LbqItFasKzfE/gFnh/g9Nr9XymGtVq9m4NaxVVD8OIlfJAIQeAsCb6MB7doNlTsa5excrXekq84Xpyml2imlvlJK/a6UWqCUuqqu2yCEEA2BjvwFkQXUW9AG0KutbWqN30I1esJKYLJVYlYSmcwLSc5x7gHPAShHfMuaqxdp5VvXYXDsVOYem8V9OgLObtVuNaEZ2C8QNLF6+DGIzENvONUqilKL6mNVeRS4TmvdA9gXuEwpVf2xCyHEDkOH52AWjMDcdAM6+JV9eswGSIemY248F3P9YMyix9Cbs6PF/rPqX1eZwvrnvabmXgNQPArc/cDVG/tV71V8XugrVOMxVnnP0naGIbYRHVkAgMq8MHVe+FJecO0BkZ/Q4XngOzX+5aJsePOAZ/+t6glrnFS+MFAD4fgceO2p86FyrfUqYFX810VKqT+ANsDvdd0WIUTDYRY/DcVj2JyyU4c+B/fBVpnGOlgtrGOr0f7XrR6wqwcq4yyUo+VWP9csHgPFT1O6mCr6NzrwPjSdDK5uVSgU4iZxNXUNf6mJzLfm3Ru/CIEP0CXjIbY4fjJepQt/+u/VfpRnH7R7HwispDQVa/QXq/xnk/dQzk6QNxFddB+E54CRDd5jILLQKqGqfIAPInPRhb9a9zu6Qt5rUPwUhOOVyzJORWVdVu2PrnU4niO+svl2rNGJ2D/Vflc66nWOWynVEdgD+NHm3HBgOED79u3LnxZC7EB0bCUUv0DCP5w6AOEZ1sIkz361+/7IX+iNp1pDsoQh/LNVajJvIspV/eFXM1YIxeUXU4XB3ID2v4GRdSnaeyQEp5CcDa0MlQV5b8CGk7GG1Wtjt5CB1lGUckHGyaiMk9E6BtGFgBNtBiH/5DSf5QXv0WgzP141rFxA1CF0yRhU7v0oVzdU3jjbp5gFd8Qz0YW3fOToH+B/BaPxU2m1RJvFaP+rEPgUDB8q4wzwHp/wZVD734bon2l+Nk+tZ2ertwQsSqksYBJwtdY6Kfmu1nqM1rqP1rpPs2bN6r6BQohtR+gbbP+50n508Itaf70uvCu+KGtzjzYMusQ6vjWKn8V+pXgYQtMBULmjIesKMJqkeIgD8t5ERZdYi7RqjYZQ4u+1Ug6UqwfK1dUqopIWD2CA/3V0/qUprolBZH7ljwpOJnnPdhgCH6XVEq1D1naz4hcg9hdEfkUX3okuHJF4YeADKvzilCCC9qSZFKaa6iVwK6VcWEH7Da21TeJeIYQoQ2WAbXITJxhbmyI0DZHZKY7/Unkt6YqEPkx9ztg8DG+g3H0h4zxw7g5s3nKkrKHijAswXN2sHN81NqdtJ4YOTqvg9JI0nqGwhtL9YK6M/77aDT8bCUlpUtKpiphE0vtzCXxstaP8SE5gMjq6pUSq9XubLhdKV5RvfuvV+VC5ssYfXgL+0Fo/WtfvF0I0QJ5DSJFyzKqoVduUN54pLfn4Vs2vmxtSn8s4G9MsgQ2nxOeSNaUlOt0HgKM5ynciyr03AFo1rqBudVmbF61VZ094BX09Z9f4sHlFnKS3Qt6Nyrwojcs2Z5MrO6+urIQsafy56PB3VqAuTzkgMgec1jStyjgVXbjA/trkp1ZQhrRm1EePux9wFjBAKTU3/t9R9dAOIUQDoYwsVKPnrAIcKiteiMMDObfX+p5ZAHxDSF5J7bHSbW6VCvpOjnaw/hhrCLf0S0sYCEF0ISpnVGnQNoueh/yzSG9hmBMyh1t5vjGsPdOOXUE1ptKQ4DvB9rCO/geRPyp5rye99jm7ofJesobfK6Fy7ojnH9+88txrle7MubPy9wA4WmH/Z6Cs3OabeY8Fz2Hx93jif/98JP+dcIGnP8rITe/91VQfq8q/pXbHc4QQ2yHl2Q+az4TQt0AE3PvX+j+Qpe/Ovg4dWwah761hUx2xenXZN1T7mTq2mtT1ql1W7W1zlf1pMx9dNBq8g9CqOZRUZfAyjMo4BZV9TWJ7tGnV8Q59ju3ohmqBcvdGh6aDNsG9D8rIxAzPg42nY59dzbA+i3NnyLoONl1ChT19ow1G0wqmD8o3ydkemk1F+ydB9Hdw7oLKOAllNErvft8p6JLXyrXdsL7UuPfF9L9rZUozV4OjDWRdhVJuMJqgPYdYuwH84621BToCrl6o3AfTbn91Sa5yIYRIk47+A9G/wdnJ6hGHpqFDX4ORh/KdbAWSdJ8V+ARdcD0pA55nEIQ+ruAJTsAFRuP4PG0VeAajcm5BORIXvJnh32HjEJKHs52Q8yAU3U5pv0vHrCQqJc/ZXI91XeYNGNkXbHl+4SjwTyTltirnrhhNa7rsaMV06Bt0wQ3xTG4mODugGj2DDv8AhaNIyivf6GFUmYpk2syHyCJwtEQ5O9RYuyRXuRBC1ADl7AjOjmgdRm882+rlaT/gRJe8is59GMOXbpnJPMCFbeB2tLfSd4YcpO6hRq3/zDT2FpcXmoxe9yU02bKdzQx8CAU3Jr9PNYHMS6DotuQ53pInK3iJTprzVtk3oqPLIDw9xT1bt/dc6xi65CWr7rkujo+K3GT9uaWgPAdAs++s/OjKi3K2txa2FZ9GcnGTILrokYTArYzG4Nlnq9pdVVKPWwghqkj737PKSpYuBosCQSi8yUrWkQ733lYN76SZQwc0egLlOxkrsFemusGuBF1wCzq2BjP0DRRcj+2XBL0Bih+0eqRV5WyV8KNSLsi+npRpTI3mVX8HYPrfxFx7CHpNLyh+FMw11mLC0DT0hpPi0xKpWdvaupYZMYmmXjgYW176Sx1ZiA68a5UercPRa+lxCyFEVQU/TLHCWEFknhWUK6GUA/LGo/MvgthqayUzQM4ojM0lQhs/id50A+gQFe8jTlXouxLR+eh1h7K52lVqaX4ZKS/4Paa5DpVxLsrVDa0jUHgHKb9shL/GLLwXlX1bylXhOrIIHfwclAPlPQJdcD9EZqRogAYdRPtfq+J6BKe1b95cn3zK0RatI+hNl0No5pZtikZLyHsd5WiafE8Nk8AthBBVlbJ8o4m1ZSvNxzg7QtPPILrY6iG6eliLnzaf9xwMzWeiS16B4odJHVwd4NobIr8DBWm/31KNofa0GBD7FQLz0YGPodET1ghF9E9Sfw4N/rfRzu6ojOQsbGbRk1AyFmtOXaGLn6by7WURK11qFSil0FlXQeF9JM1xZ1+LLhlrBW2CWz5K7F90wY2ovHQT0VSfDJULIUQVqYxT7YO3ygbXblV7llIo184od++EoL3lvBPlaE7FPeIoRP9EtfgJsu/C+vJQk0VGqsMs879BdME16IKRaew1D4L/laSjOrIoHrSDWEP6UdLbE+6wVrVXkZFxKuTcEU+Eo6xtc7mjUd4j4gvsyo+ARCH8I9rc2rKnabSt1t8ghBDbG8/A+N5uF1v+GVVWAQysohTaLKi5eU93v8qv0ZvQOoSReTqqxVxUkw8h534gr2bakLYUXxa0H0jKbm0vusyqkhZbu+X24OdUr7ypG5V5bsqzpv8DzHWHYK7eBXPd4ejg1NJzRsZJGM2/xmi5EKPZNAxfPOWIrmiUoprTClUggVsIIapIKYXKPC+eCnNzcNbgfwO9fjB6zV7otfuh1x2EGZha0aOsldDhWejQD+gUAUE5moKqrBKZhtC0ePviGcoK7wTKpt9UQC6orZiHNdqSXEc7obXVf3apMJS8hF4/CB3dnEq1quFKgaOLlczF2cn2CtM/CQpvh9gKIAaxf9CbrkMHv6z40d7DsJ1pdnRAGbX/RUkCtxBCVIMuHhvPlV22Vx2E2CKseeOolbij4Dp0+Gf7Z4Tnodf2Q+dfiN50KXrtvqmDRpM05k79b2x5dslLJPf+NFAEvuOoOPhWwFwbnw5IVZNbV+HZFQX5MOgidOHd1pW+I7FfluVIfo7nKFTzXzCafYJy226FthQ/SvKQdxBd9HDFrc66GoxmbMkb7waViWr0QIX31RQJ3EIIUR2RudgnTykviC5+Numo1gF0/nmgN1oL03SxVXFs0zXo2Iqk6w1nF8h7K56aNIXY0i2/jv6L/eptE/yvW/nfnbun0f7ywhD5FZy7pDhvgHcwVjDLIuXWLzyQfQ/kTQZvBaljwzMxS16zUttmX2vdV/a/nLuhyWRwHwLOHpB5A6rR/ahKis9oHbFfNQ4Q+9f+eJxyNEE1/QSybwbvcZB1CarpFFQV1zdUl6wqF0KI6nB2tmo/p7OPOrYs+VjwS+wXnMXQ/vdQ2ZcnnTHce6Cbf4te09P+XnMTWoetRW6efawEMbbzwiEITUM1/QBdMj5e07oq+7Q1xP6zP6W8qMyhkH01RP+wFmsV3FTu+YaVaSxjiLWC23UfOvgRKVe4F92PqXIwMs9Dew6D0JfWM7yHgVmA3jjUSjlKEKL/oAOvQ5N3kzLDJXJaSXDs9ms7Wlf6O6CMTFTm6cDplV5b06THLYQQ1aAyLyTtrV92c8q60EobmiQCelPqRykXW4ZoyzPAtLaDqYxz4sUwUtEQ+gaVcxtkDCF1zzjFe5w7Yd/30+DsjHI0RXkOwPANgtxRZYrDeMG5Myrv1dK92kqpeAGTVL+fUSi8ETMwBeVsi8o8B5V5FsrREl1wC+gitnwx8IO5Dl1ccf52pRRkXkny76UXsq5N8/ehfkjgFkKIalCu7qjGz1vpSSsLetE/kmtZu/fFvphHBspzYMXPc/VM0SivlbscUI5mqKbvg3PXFNc6QPlQyoWRczs0nwOeYyp+bykNObfEK4yV++yuvpTP+Gb4jkU1/wGVNw7V9AOMph+iHG0Sm5NzSwXD7/F3Ft6ELpPBTZvF8X3h5UUh+Hmln8LIPB1ybo3PVwNGK8gdZX3Z2IZJ4BZCiGpSnv1RTaeimv8U33qValFWCF38ROK9zs5WWVCVUeaoD1x7gLt/xe/Nvs7mXT7Iujq+ojx+naM1qvHT2C4k0xrK5Nw2DC9G40ch94UUb3UDGdazckdjuHa1kqqUXxgWno5ee4BVRaxsm5Ub5eqVtMJba40OTkPnX2qNQlS4YM2AMgv9rEV/KdYZ2OyJt31ixqkYzb9DtfgTo/kMDN+xad1Xn2SOWwghtoJSClQ2KuMkTOWIF+qwYTMnrHJGgucAtP9ta5+z7wSUbzBKVdynUu49IO9ldNFDViEPozlkXo6RMTj5YqM15IyCwhGgnFi9fI1q9IR9+cvQJ1h9unJz98oN2SNQ3gFb7gtMSr4OQK9H51+MzroBI2tYhZ9FF40G/wTSy+Cm2dyb12YhFFyd4jp3Qq10HfoeXfKilVrWvT8q60KUI3F7XWW/59sSCdxCCFFDlHcwunAUaJu0o84uydcrhWmut1ao6yKILkCbayHzopS5ukvvdfdBNXkr6bgOfYP2vwFmvjWHvnkBnWsf8B5mZWFz90MZGckPBQh/j30wDlhfLsrOm0d+t78WrOPFD2KahSjfEShXj+RHRpfHt7Clm7TECe69rF8GP0+dTE41Q2VdZrXC/1Zi6tLAMnTwQ2g6OSl4NxQN5yuGEEJs45QyIOtq7BY8qezrk643Ax9bNZ91PhC1toQVP2f1DqvBLH4qXvxiGkTmQPRXrFXlMYj8AMVPgnu/0qCtg1Mx1w/GXNMXc+N56Mj80jnyZDEoegi94dQt88yublQcRjT4n0NvOM2qxV1e5GcqHRrHa31ZUJmoxs/HF+dh/V6lKnmqV6MLR2KaxVA0msR849bvsy5ONSWw7ZPALYQQNcjIPMPaW+xoD3jAuSuq8Qsod9/ki4ufJHkbVgBKXkBrqyertbb2HFdCx9ZD8QspqpZBac7wwPvWT/630JuutxZ36U0Q/g694QzwDiL1qvUARBej/RMBUJkXkToRS1lBCLyNDv+SeFg1osLA7dgJsq9H5dyNavYtanNvG8DTn9QhLAaBT+Lb0OxEIfxtGu3eNkngFkIIG1oH0KGZ6PDc0iCaLiPjOIxmX2C0/A2j6Xsoz372F8ZWpXi5H62LMQvvR6/tjV7TE3PdUejQj6lfGpkdT8FaAR2A6EK0jkHRwyT2RLF+Dn4NmeeSemtWEIrHobVGubqh8sZiLVqrhA6iAx8lHvP0q6DSGlYilOJnwbVLUkIV5exibWNLeX8QQjPi2e1sGC0qb/M2SgK3EEKUY/onW+lHN12Gzj8Pve4gdGRhlZ6hdRCzcDTmmr0x1+yOmX8FOrYy8SLnTvY3G3lQeA/434z3oDXEFqPzL8QMfIoOfJzcHpWbRqt84OxuJR3RKRKuROdA8BPIuYeU29z0qtJV8sq9N6rp5DTerbbUrt58RLlReeMryAYXAp1vLXSzKdiiskegGqVYNQ+AYa3ST/oS4kNlXZBGm7dNEriFEKIMHV1srcDWgdI0pJhr0BvPSWvIuvQ5+cOthVe6wHpWaCp6/Ylos6j0GpV9I8nbupS1nzj4MXZ5tCm4Bl0wAr1hCOaGs9Cbh8bde8dTjKYaejbAyED5jgMjt4LrsDK9Fd5EyjlkTCh5ubSEpXK2B0fy4rtEbpQvedW7cnVDNZ8JjZ5PUfxEg7kOon8l36sUynMAeA6y/zzKA42eAndfwBOfK/dB9rVWrfMGSgK3EEKUof1vkzJNaPj79J4R+R3C80jc4mRaQ+CBSaVHlGc/VOMx4OxW9m6Izid1HnQTKAGCEJmNLhhtPUs5UHnjwGhj7Q1XmVg9ZhfgBM9BqCbvoIwslPJAxmmkNz+dgnImpHJVuaOw5sbLhxWn9Z7M81GuXvaPUgaGdwA4WqV4mUFFKVlV9tXxIfOy7/ZB9o0YjsYYeS+jmn2BynsD1fxHjMxzKvt02zTZDiaEEGWZG0jZ0zRttnnZiS4EpWy2KwUhNAtt5KBLXgWzGLwDwNE23qPcPJee7px6FIIT0eYNVkB2doZmX0J0AZgl4O6FspkD1jocz+2dTpGUFHQYjC3bqZR7D2jyDrrkBWvBm6MTOHdCGTngOSRlac0EvmOh6C+Sg7TLKiCSgnJ2sd5d9KS1tc7RGpV1Ccpz0JZrHC3A0XDntcuSwC2EEGUoz4B4aU1/4gkdiQ+5psHRMfW58FR0eBqlQdM/AeuLQqpNyZXR6JIX4tnU4glh4ilRtQ5ZC8JiK61j7v2soh6brrMWbqUcCq+MGzwDkop4KNfOqEYVl8RMaHlsLbr4aQhNByMbfGdYQ+7m39aecZyAE9XooYSMcHaUswuq8ZNV/ygNkARuIYQoy3s4+MdD5E9KV10rH2Sck37CDldvK3hHF5Hcq9XljlXU63WQVnANfATxwF36lugy9MbTrEVoOmjN9zq7onMftAJlWpnK7BjgG4zKucP2rNZRQKFU6vztWmu0uQE2HA/mJkprlxc/AO4BEPXHS5Sa1tx9HZXLbCgkcAshRBlKuSDvNbT/PWuBmJGFyjit8sIfCc9QkDfeyr8d+SnNu8qnGXWD5zAIfUalwdsmSOpN14K5kdKevPZD5A8ofs5KX6qrGrh91kpz72EYhs3we2wFetNN8aQqGo0bfENROddZc+pYQ/S66GHwv4X1pUiRMNKgAxD6uOxTITwTveFMaPpRg0pLWpskcAshRDlKuVGZp0LmqVW+V5sbITjd+sF7DETmkzTsnvxGMNqDudLqGeswuPdG5d6L3lQcTxaSKnh7wHdychuif5I8/B6C0PcpgrbDShoTW4ltb1wZKGcrlF3Q1gH0hpPL1bYOQ+BVa6Fek9fiQ/Q3QOgrtsxhpzM9ELV+X8I/gWffNK7f/kngFkKIGmL634fC27f0gHWU9OaRtRWcHB0h6zKUqyfK2c46lXsPesOp8frd8T3dwOb5X9y9UZnnp99IpcBoC7G/yx33ohqPRRc9ACGbkpgadGyN1UeOrbN6885OKOWG4KdQZptbguhciPyKdrSE0Jekn5e87LtNiP0DSOAGCdxCCFEjdGy1FbQJletIOrC2XW3uxXqtDGc6QOL8dhhii6H4cWj6WelR5WgJzaZaPdXoUrRzJ9AxlLkWXL3AtXtSQRJl5KGNZtaXgSQOiK0od0xB9kiUsx3afQCEviE5q1oJFFyHWXin1XblBhQ6++Z45bNUAdmE6O/W+c2jCSk5rOvL98SVKrdlbscmgVsIIWpC8LMUJxxWiUldAGYxyncUeI9BF9wMwY9IDFImmGsg8iu4dy89qpQbvEdYv06jKVrr1JnRzPJBG6sNwY8h43hUxmC0/+UUQ+Y6XjOb+HYyrCIpmedhZSezC8oOa7ubo1MF8+oOrDl+F8nTCm4r25urd4p7dzwy0y+EEDVBx6twJTFRjlYYjR7DyHsR5TvBWgBnbsJ+jtcoN1dcnbYE7EuLViSeTEUpH6rJJMi6KF4opbKvCgEr2YzRxP600dSqge1oCr7BJGeK80Hj8eA5BNvEN86dUI1fqbTM6Y5EArcQQtQE7yHYD2I6wDsw+bDnQJKDGNZQcooMYxXRph8dXWylIVVeK3uaLbsAaICrTA/fyMLIuhyVdXUFzynDXItq8i64Dy7zfAWufVBNJpZuDVM590DWxaDyADe4+lrn3XvFF63ZBO7YitS1w3dQMlQuhBA1QDm7oDPPhZJX2TJk7Lb2fzuT83gr38lo/3iIrdlyvfKB72yrd5omrTW6+DHrvcphLYjLGAIZF4D/+XJlPr3WF4aEOWxlLUzLuiT54c4uoCtbXOcCTz+Uowkqb4zVJrMQcCRX9FIOVNalkHVpuc9QwSK+CufEd0wSuIUQooYY2deivYehA9ZeZOU7KnV+biMTmryHLhlnreJWOajMs8FzeJXeqf3jwT8OCG4Zefe/A5nnQ+bFUPKiNbessqziGr5T0IF3oGSMtTLctQcq+0YrXWr5Nrq6o917QPgX7BO2OEFloTITK20pI6dKn0EpJ9q1p1WaNGH6wIiPTIiylF2ptFp/qVJHAk9grUgYq7UeXdH1ffr00bNmzaqTtgkhRENiru0P5trkEyoT1fwXrOImJVaATZHAROsAuuQlCEzGyow2BJV5Fkq50TqILnoUApOs3q+zG6WL1NwHoLIusvKAbyUdXRLf9hYGgtbog8pANXkXlbL4yPZLKTVba93H7lyd97iVNdnxDHAYsBz4WSk1WWv9e123RQghGjxzk/1x7Qei1kI4lboHrHUMveGMeJGTeK+6+Am0/3WrGInS4D0G1Ww6ysiu6daXUs6doNlUtP9dq0iLqyd4BoC5Dq28KCNVze4dT30sTusLLNZa/621DgMTgePqoR1CCNHwuXaxP+7oYAXtyoRmxJOxlB0KD1rbxvQ6MNeD/w30xtPic9G1RxmNMbKGoXLvh+hiWD8IvfFc9NoDMQtuq/X3NxT1EbjbAP+V+Xl5/FgCpdRwpdQspdSsdevW1VnjhBCiLmkdRgc+QRc/iw5+XuXgpLJvxVqdXna1uDdlEZCk90d+iffOKxKxkraEplWpbdWlS56DwPtYyWyKrf8NfIgufqpO3r+t22YXp2mtxwBjwJrjrufmCCFEhXRsLQQ/RpvFKE9/cPWudO+xjq1GbzgFdJEVPFUGGM2gyVtpDw1bdbAnWuUxI39Y+56zLke5e6d3v6MVGi/JNbDLN9aPjvyO8lZt8Vy1lIy3aU8Q/K9D9jW1//5tXH0E7hVAuzI/t40fE0KIBkkHp6E3XY21IjqMLhkL3kMh96EKK1rpgpFgrqN0K5QugVgIXTQalftA2u//f3v3HmNFfYZx/Pvs5bC7oCywGFuholargEVRiEpatTZeKkGNmmBaW9umUVupjdbGS/inl6St91ht0io2WlNjvRJLRUSrpq2AImgRbay1itFoo1huy7LL2z9mCMu6Fxb2zDBznk+y4ZyZPTvPb5fd98zvzPm9apyIRt22a+GbZsK663ei30cLqh+3a8cYrOhj3fNYT0TU/GIseUyVLwMOlnSApAowG5ifQw4zs90WsYn4+DKSM8TNJBVwU9JQo5+p5Ygu6HiGT75/uRPaF1Ytb0+qG4lG3wX1+5NMuQ8jecNP9+KoZG3yptOyCdU4qfftDYfVfNGGHAp3JC/gXAIsBFYD90XEqqxzmJkNiY6l9PqnNDYSmx7JPM6uUONk1PY4aluAxj6O2hZB41SSSdlGaDw8WeGsx4IqVcuz11ygme3f1zqgGe09N5Pj7+lyeY07IhYAC/I4tpnZ0Orv/KfvfVJ90omr41l2POtugGGnDFW4nSYJGrZPhWvMH4it64AY9IIqu52lMgXaHiDW/zp53b7xUDT8ItR4SKY59lR77MVpZmaFUJnex45m1HJWvw/VyB/3cnFaG9r7ykFFiM7XiQ13J+01K8egltlDUmyr+b7tAY/d8FnUen1ux9+TuXCbme0GaRi03kJ89N3kZeHoJGnlOQsqx/f/2Pp9YewT0L4Iut6EhoNh2JeQdv5Pc2x+hvjoEpIGHV3Q8Tyx8W4Y8zCq76NjlxWaC7eZ2W7SsBmwz9NJT+7YAJUZqPHQnXusKtB8+i4dN2Ir8fFV7PjWqXbY2kVsuM2vCZeUC7eZ2RBQXSu0zM72oF1r0gVKetoC7YvBhbuU3I/bzKyo6kb03XYz4wvKLDsu3GZmBaW60VDZ9rat7juaoeXruWSy6nPhNjMrMI28MbmoTc1Jz20q0HQWaj4772hWJX6N28yswFQ/BsY8DJ2roes9aJw0JP2xbc/lwm1mVnCSoHFi8mGl58JtZmZVEdEJmxcTHcuh/tOoedZOdz2zvrlwm5nZkIutG4gPz4Out9J+303E+ptg9F2o8XAiAjr+TnQsTS6ya56Z/GsDcuE2M7MhFxvugM5/k3RMA2iHgFh7GTHmT7D2QtjyYtKMhSZYfwOM+i2qTMszdiH4qnIzMxt67fPZXrS76XoPNtwJHcvTM3FIivpGYu33k3an1i8XbjMzq4J+JnQ3PwZs+uT2aIfOV6qWqCxcuM3MbOg1nws09dgoaDgQ1HP7NoHL0sD8HTIzsyGn4edDZRrQDFRAw6FuDGq9GbWcm27v+aAR0HBYxkmLxxenmZnZkJMqMOp22PISbFkB9fvCsBORKkT9eGh/CjqegdhCUtjrUOutSD6fHIgLt5mZVYUkqExJPnbYXo9G3UJ0rIQty0CjoelkVDcip6TF4sJtZma5UC9F3QbmOQkzM7MCceE2MzMrEBduMzOzAnHhNjMzKxAXbjMzswJx4TYzMysQF24zM7MCceE2MzMrEBduMzOzAnHhNjMzKxBFRN4ZBiTpA+A/g3hIG/DfKsXZ03nstadWxw21O/ZaHTfUztj3j4ixve0oROEeLEnPR8TReefIg8dee2Ov1XFD7Y69VscNtT32bTxVbmZmViAu3GZmZgVS1sL9m7wD5Mhjrz21Om6o3bHX6rihtscOlPQ1bjMzs7Iq6xm3mZlZKZW6cEuaI+lVSask/TLvPFmTdLmkkNSWd5YsSLo2/Xm/JOkhSa15Z6o2SadKek3S65KuzDtPFiSNl/SUpFfS3+1L886UNUn1kl6U9GjeWbIkqVXS/env+WpJx+adKQ+lLdySTgTOAKZExCTgupwjZUrSeOBk4K28s2RoETA5Ij4P/BO4Kuc8VSWpHrgVOA2YCJwnaWK+qTLRCVweEROBY4Dv1ci4u7sUWJ13iBzcDDwWEYcCU6jN70F5CzdwMfDziNgMEBHv55wnazcCPwJq5iKGiHg8IjrTu88B4/LMk4HpwOsR8UZEdAD3kjxZLbWIeDcilqe315H88d4v31TZkTQOOB24Pe8sWZI0EvgicAdARHRExNpcQ+WkzIX7EOALkpZIelrStLwDZUXSGcA7EbEy7yw5+hbw57xDVNl+wNvd7q+hhgoYgKQJwJHAkpyjZOkmkiflW3POkbUDgA+AO9OXCW6XNDzvUHloyDvA7pD0BLBvL7uuIRnbaJKptGnAfZIOjJJcRj/A2K8mmSYvnf7GHRGPpJ9zDcl06j1ZZrNsSRoBPAD8ICL+l3eeLEiaCbwfES9IOiHnOFlrAKYCcyJiiaSbgSuBufnGyl6hC3dEfLmvfZIuBh5MC/VSSVtJ1rj9IKt81dTX2CUdTvLMdKUkSKaLl0uaHhHvZRixKvr7mQNIugCYCZxUlidp/XgHGN/t/rh0W+lJaiQp2vdExIN558nQDGCWpK8ATcDekn4fEV/LOVcW1gBrImLb7Mr9JIW75pR5qvxh4EQASYcAFWpgYfqIeDki9omICRExgeQ/+9QyFO2BSDqVZApxVkRszDtPBpYBB0s6QFIFmA3MzzlT1Sl5RnoHsDoibsg7T5Yi4qqIGJf+bs8GnqyRok36N+xtSZ9LN50EvJJjpNwU+ox7APOAeZL+AXQA36iBM7Ba9ytgGLAonW14LiIuyjdS9UREp6RLgIVAPTAvIlblHCsLM4DzgZclrUi3XR0RC/KLZBmZA9yTPlF9A/hmznly4ZXTzMzMCqTMU+VmZmal48JtZmZWIC7cZmZmBeLCbWZmViAu3GZmZgXiwm1WApK6JK3o9jFhF77GmdVs1iHpMUlra62jldlQK/P7uM1qyaaIOGI3v8aZwKMMYlELSQ3dGrsM5FqgBbhw8NHMbBufcZuVlKSj0gY7L0haKOlT6fbvSFomaaWkByS1SDoOmAVcm56xHyTpL5KOTh/TJunN9PYFkuZLehJYLGm4pHmSlqbNH3rtUBYRi4F1mQzerMRcuM3KobnbNPlD6VretwDnRMRRJCsJ/iz93AcjYlpEbOtn/O2I+BvJcqlXRMQREfGvAY43Nf3ax5M0tnkyIqaTLDN8ba12bTLLgqfKzcphh6lySZOByWxf/rUeeDfdPVnST4FWYATJkqmDtSgiPkxvn0zS+OKH6f0m4DMkTwrMbIi5cJuVk4BVEXFsL/t+B5wZESvTbmon9PE1Otk+K9fUY9+GHsc6OyJe2+W0ZrbTPFVuVk6vAWMlHQtJG0xJk9J9ewHvptPpX+32mHXpvm3eBI5Kb5/Tz7EWAnPSrl1IOnL345tZX1y4zUooIjpIiu0vJK0EVgDHpbvnAkuAvwKvdnvYvcAV6QVmBwHXARdLepGkl31ffgI0Ai9JWpXe/wRJzwJ/BE6StEbSKbs6PrNa5u5gZmZmBeIzbjMzswJx4TYzMysQF24zM7MCceE2MzMrEBduMzOzAnHhNjMzKxAXbjMzswJx4TYzMyuQ/wPwVSqgTYIGdAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.datasets import make_blobs\n", + "from sklearn.model_selection import train_test_split\n", + "import matplotlib.pyplot as plt\n", + "\n", + "data_features, data_targets = make_blobs(n_samples=600, centers=2, n_features=2, random_state=42)\n", + "\n", + "# The function outputs targets 0 and 1 so we need to convert targets 0 to -1\n", + "transformed_data_targets = [-1 if t == 0 else +1 for t in data_targets]\n", + " \n", + "# Plot the dataset\n", + "plt.figure(figsize=(8, 6))\n", + "plt.scatter(data_features[:, 0], data_features[:, 1], c = transformed_data_targets)\n", + "plt.title(\"Toy dataset\")\n", + "plt.ylabel(\"Feature 2\")\n", + "plt.xlabel(\"Feature 1\")\n", + "plt.show()\n", + "\n", + "# Split data into training and test set\n", + "features_train, features_test, labels_train, labels_test = train_test_split(data_features, \n", + " transformed_data_targets, \n", + " test_size = 0.3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.2 SVM class definition \n", + "\n", + "Next, we would like to implement an SVM class. We will use the knowledge we already acquired:\n", + "\n", + "1. Our objective function using the hinge loss function is given by: \n", + "$$\n", + "J(\\mathbf{w}) = \\frac{1}{2}\\|\\mathbf{w}\\|^{2} + C \\frac{1}{N} \\sum_{n=1}^{N} \\max \\left\\{0,1-y_{n}\\left(\\left\\langle\\mathbf{w}, \\mathbf{x}_{n}\\right\\rangle\\right)\\right\\}\n", + "$$\n", + "2. We can minimize this function by computing the gradient: \n", + "$$\n", + "\\nabla_{w} J(\\mathbf{w}) = \\frac{1}{N} \\sum_{n=1}^N \\left\\{\\begin{array}{ll}\n", + "\\mathbf{w} & \\text{if} \\max \\left(0,1-y_{n} \\left(\\langle \\mathbf{w}, \\mathbf{x}_{n} \\rangle \\right)\\right)=0 \\\\\n", + "\\mathbf{w}-C y_{n} \\mathbf{x}_{n} & \\text { otherwise }\n", + "\\end{array}\\right.\n", + "$$\n", + "3. Given the gradient we use stochastic gradient descent to train our model\n", + "4. After training our model we can make predictions using the [sign function](https://en.wikipedia.org/wiki/Sign_function)\n", + "\n", + "As mentioned previously, we will assume that the bias $b$ is contained in our weight vector as the first entry $w_0$, that is $\\mathbf{w} = [b, w_1, ..., w_D] = \\mathbf{w} = [w_0, w_1, ..., w_D]$." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from sklearn.utils import shuffle\n", + "\n", + "class LinearSVM:\n", + " \n", + " def __init__(self, regularization_param):\n", + " \"\"\"\n", + " Initialize the model by setting the regularization parameter \n", + " and a boolean variable for our trained weights.\n", + " \"\"\"\n", + " self.regularization_param = regularization_param\n", + " self.trained_weights = None\n", + " \n", + " def add_bias_term(self, features):\n", + " \"\"\"\n", + " Add intercept 1 to each training example for bias b\n", + " \"\"\"\n", + " n_samples = features.shape[0]\n", + " ones = np.ones((n_samples, 1))\n", + " return np.concatenate((ones, features), axis=1)\n", + " \n", + " def compute_cost(self, weights, features, labels) -> float:\n", + " \"\"\"\n", + " Compute the value of the cost function\n", + " \"\"\"\n", + " n_samples = features.shape[0]\n", + " \n", + " # Compute hinge loss \n", + " predictions = np.dot(features, weights).flatten()\n", + " distances = 1 - labels * predictions\n", + " hinge_losses = np.maximum(0, distances)\n", + "\n", + " # Compute sum of the individual hinge losses\n", + " sum_hinge_loss = np.sum(hinge_losses) / n_samples\n", + "\n", + " # Compute entire cost\n", + " cost = (1 / 2) * np.dot(weights.T, weights) + self.regularization_param * sum_hinge_loss\n", + " \n", + " return float(cost)\n", + " \n", + " def compute_gradient(self, weights, features, labels) -> np.ndarray:\n", + " \"\"\"\n", + " Compute the gradient, needed for training\n", + " \"\"\"\n", + " predictions = np.dot(features, weights)\n", + " distances = 1 - labels * predictions\n", + " n_samples, n_feat = features.shape\n", + " sub_gradients = np.zeros((1, n_feat))\n", + "\n", + " for idx, dist in enumerate(distances):\n", + " if max(0, dist) == 0:\n", + " sub_gradients += weights.T\n", + " else:\n", + " sub_grad = weights.T - (self.regularization_param * features[idx] * labels[idx])\n", + " sub_gradients += sub_grad\n", + " \n", + " # Sum up and divide by the number of samples\n", + " avg_gradient = sum(sub_gradients) / len(labels)\n", + "\n", + " return avg_gradient\n", + " \n", + " def train(self, train_features, train_labels, n_epochs, learning_rate=0.01, batch_size=1):\n", + " \"\"\"\n", + " Train the model with stochastic gradient descent using the\n", + " specified number of epochs, learning rate and batch size.\n", + " \"\"\"\n", + " # Add bias term to features\n", + " train_features = self.add_bias_term(train_features)\n", + " \n", + " # Initalize weight vector\n", + " n_samples, n_feat = train_features.shape\n", + " weights = np.zeros(n_feat)[:, np.newaxis]\n", + " \n", + " # Train the model for a certain number of epochs\n", + " for epoch in range(n_epochs):\n", + " features, labels = shuffle(train_features, train_labels)\n", + " features, labels = train_features, train_labels\n", + " start, end = 0, batch_size\n", + " while end <= len(labels): # Training loop over the dataset\n", + " batch = features[start:end]\n", + " batch_labels = labels[start:end]\n", + " \n", + " grad = self.compute_gradient(weights, batch, batch_labels)\n", + " update = (learning_rate * grad)[:, np.newaxis]\n", + " weights = weights - update\n", + " start, end = end, end + batch_size\n", + " \n", + " current_cost = self.compute_cost(weights, features, labels)\n", + " print(f\"Epoch {epoch + 1}, cost: {current_cost}\")\n", + " \n", + " # Set the trained weights to allow making predictions\n", + " self.trained_weights = weights\n", + "\n", + " def predict(self, test_features) -> np.ndarray:\n", + " \"\"\"\n", + " Predict labels for new test features.\n", + " Raises ValueError if model has not been trained yet.\n", + " \"\"\"\n", + " test_features = self.add_bias_term(test_features)\n", + " if self.trained_weights is None:\n", + " raise ValueError(\"You haven't trained the SVM yet!\")\n", + " \n", + " predicted_labels = []\n", + " n_samples = test_features.shape[0]\n", + " for idx in range(n_samples):\n", + " prediction = np.sign(np.dot(self.trained_weights.T, test_features[idx]))\n", + " predicted_labels.append(prediction)\n", + " \n", + " return np.array(predicted_labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Compute some values to make sure the cost is computed correctly\n", + "# I calculated the values for this example by hand first\n", + "svm = LinearSVM(regularization_param=1)\n", + "weights = np.array([1, 2])[:, np.newaxis]\n", + "features = np.array([[0.5], [2.5]])\n", + "new_features = svm.add_bias_term(features)\n", + "\n", + "labels = np.array([-1, +1])\n", + "assert svm.compute_cost(weights, new_features, labels) == 4.\n", + "gradient = svm.compute_gradient(weights, new_features, labels[:, np.newaxis])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.3 Training and testing an SVM \n", + "\n", + "After defining our SVM class we can train a model and test it on unseen examples." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1, cost: 27.249462152357992\n", + "Epoch 2, cost: 7.348722759212155\n", + "Epoch 3, cost: 3.3972581191442885\n", + "Epoch 4, cost: 2.27870883462286\n", + "Epoch 5, cost: 1.8875111235175854\n", + "Epoch 6, cost: 1.6020090021589712\n", + "Epoch 7, cost: 1.413202164641454\n", + "Epoch 8, cost: 1.2452165334256207\n", + "Epoch 9, cost: 1.1141080363838292\n", + "Epoch 10, cost: 1.0118493571787424\n" + ] + } + ], + "source": [ + "# Initialize a new SVM and train it on the given toy dataset\n", + "regularization_param = 100\n", + "lr = 0.000001\n", + "svm = LinearSVM(regularization_param)\n", + "trained_weights = svm.train(features_train, labels_train, n_epochs=10, learning_rate=lr)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy on test dataset: 1.0\n", + "Recall on test dataset: 1.0\n", + "Precision on test dataset: 1.0\n" + ] + } + ], + "source": [ + "# Predict lables for unknown test samples\n", + "from sklearn.metrics import accuracy_score, recall_score, precision_score\n", + "\n", + "predicted_labels = svm.predict(features_test)\n", + "predicted_labels = predicted_labels.flatten()\n", + "\n", + "print(\"Accuracy on test dataset: {}\".format(accuracy_score(labels_test, predicted_labels)))\n", + "print(\"Recall on test dataset: {}\".format(recall_score(labels_test, predicted_labels)))\n", + "print(\"Precision on test dataset: {}\".format(precision_score(labels_test, predicted_labels))) " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.4 Visualizing the decision boundary \n", + "\n", + "Given our trained model we can visualize the decision boundary, as done below." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "\n", + "# Create dataset for visualization\n", + "size=40000\n", + "feat_1 = np.random.uniform(low=-7, high=8, size=size)\n", + "feat_2 = np.random.uniform(low=-2, high=14, size=size)\n", + "features_vis = np.column_stack((feat_1, feat_2))\n", + "\n", + "labels_vis = svm.predict(features_vis)\n", + "\n", + "# Plot the decision boundary\n", + "plt.figure(figsize=(7, 5))\n", + "plt.scatter(features_vis[:, 0], features_vis[:, 1], c = labels_vis)\n", + "# Plot original dataset\n", + "positive_samples = [idx for idx in range(len(transformed_data_targets)) if transformed_data_targets[idx] == +1]\n", + "negative_samples = [idx for idx in range(len(transformed_data_targets)) if transformed_data_targets[idx] == -1]\n", + "plt.scatter(data_features[positive_samples, 0],\n", + " data_features[positive_samples, 1],\n", + " c=\"yellow\", label=\"Original positive samples\")\n", + "plt.scatter(data_features[negative_samples, 0],\n", + " data_features[negative_samples, 1],\n", + " c=\"purple\", label=\"Original negative samples\")\n", + "plt.title(\"SVM decision boundary\")\n", + "plt.ylabel(\"Feature 2\")\n", + "plt.xlabel(\"Feature 1\")\n", + "plt.legend(loc=2)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6. Dual approach \n", + "\n", + "In the previous sections we took a detailed look at the primal SVM. To solve a primal SVM, we need to find the best values for the weights and bias. Recall that our input examples $\\mathbf{x} \\in \\mathbb{R}^D$ have $D$ features. Consequently, our weights $\\mathbf{w}$ have $D$ features, too. This can become problematic if the number of features $D$ is large.\n", + "\n", + "That's where the second way of formalizing SVMs (called *dual approach*) comes in handy. The optimization problem of the dual approach is independent of the number of features. Instead, the number of parameters increases with the number of examples in the training set. \n", + "\n", + "The dual approach uses the method of Lagrange multipliers. Lagrange multipliers allow us to find the minimum or maximum of a function if there are one or more constraints on the input values we are allowed to used.\n", + "\n", + "If you never heard of Lagrange multipliers I can recommend the [blog posts](https://www.khanacademy.org/math/multivariable-calculus/applications-of-multivariable-derivatives/constrained-optimization/a/lagrange-multipliers-single-constraint) and [video tutorials](https://www.youtube.com/watch?v=yuqB-d5MjZA&list=PLCg2-CTYVrQvNGLbd-FN70UxWZSeKP4wV&index=1) on the topic from Khan Academy." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.1 Recap Lagrange multipliers \n", + "\n", + "Lagrange multipliers allow us to solve constrained optimization problems. Let's say we want to maximize the function $f(x, y) = 2x + y$ under the constraint that our values of $x$ and $y$ satisfy the following equation: $g(x, y) := x^2 + y^2 = 1$. This constraint equation describes a circle of radius 1. \n", + "\n", + "The key insight behind the solution to this problem is that we need to find those values for $x$ and $y$ where the gradients of $f$ and $g$ are aligned. This can be expressed using a Lagrange multiplier (typically $\\lambda$):\n", + "\n", + "We want to find those values $x_m, y_m$ where $\\nabla f(x_m, y_m) = \\lambda \\nabla g(x_m, y_m)$.\n", + "\n", + "In our example the gradient vectors look as follows:\n", + "$$ \\nabla f(x, y)=\\left[\\begin{array}{c}\n", + "\\frac{\\partial}{\\partial x}(2 x+y) \\\\\n", + "\\frac{\\partial}{\\partial y}(2 x+y)\n", + "\\end{array}\\right]=\\left[\\begin{array}{c}\n", + "2 \\\\ 1\n", + "\\end{array}\\right]$$\n", + " \n", + "$$ \\nabla g(x, y)=\\left[\\begin{array}{c}\n", + "\\frac{\\partial}{\\partial x}\\left(x^{2}+y^{2}-1\\right) \\\\\n", + "\\frac{\\partial}{\\partial y}\\left(x^{2}+y^{2}-1\\right)\n", + "\\end{array}\\right]=\\left[\\begin{array}{c}\n", + "2 x \\\\ 2 y\n", + "\\end{array}\\right]$$\n", + "\n", + "Therefore, the tangency condition results in \n", + "$$ \\left[\\begin{array}{l}\n", + "2 \\\\ 1\n", + "\\end{array}\\right]=\\lambda \\left[\\begin{array}{l}\n", + "2 x_{m} \\\\ 2 y_{m}\n", + "\\end{array}\\right] $$\n", + "\n", + "We can rewrite the vector form into individual equations that can be solved by hand:\n", + "- $2 = \\lambda 2 x_m $ \n", + "- $1 = \\lambda 2 y_m $ \n", + "- $x_m^2 + y_m^2 = 1 $\n", + "\n", + "Solving the equations yields \n", + "$$ \\begin{aligned}\n", + "\\left(x_{0}, y_{0}\\right) &=\\left(\\frac{1}{\\lambda_{0}}, \\frac{1}{2 \\lambda_{0}}\\right) \\\\\n", + "&=\\left(\\frac{2}{\\sqrt{5}}, \\frac{1}{\\sqrt{5}}\\right) \\quad \\text { or } \\quad\\left(\\frac{-2}{\\sqrt{5}}, \\frac{-1}{\\sqrt{5}}\\right)\n", + "\\end{aligned} $$\n", + "\n", + "where the first point denotes a maximum (what we wanted to find) and the second a minimum. This solves our constrained optimization problem. For more details and a full solution look at [this Khan academy post](https://www.khanacademy.org/math/multivariable-calculus/applications-of-multivariable-derivatives/constrained-optimization/a/lagrange-multipliers-single-constraint)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.2 Recap Lagrangian \n", + "\n", + "The Lagrangian is a way to repackage the individual conditions of our constrained optimization problem into a single equation. In the example above we wanted to optimize some function $f(x, y)$ under the constraint that the inputs $x$ and $y$ satisfy the equation $g(x, y) = x^2 + y^2 = c$. In our case the constant $c$ was given by 1. We know that the solution is given by those points where the gradients of $f$ and $g$ align. The Lagrangian function puts all of this into a single equation:\n", + "\n", + "$$ \\mathcal{L}(x, y, \\lambda)=f(x, y)-\\lambda(g(x, y)-c) $$\n", + "\n", + "When computing the partial derivatives of $\\mathcal{L}$ with respect to $x, y$ and $\\lambda$ and setting them to zero, we will find that they correspond exactly to the three constraints we looked at earlier. This can be summarized by simply setting the gradient of $\\mathcal{L}$ equal to the zero vector: $\\nabla \\mathcal{L} = \\mathbf{0}$. The compact Lagrangian form is often used when solving constrained optimization problem with computers because it summarizes the elaborate problem with multiple constraints into a single equation. For more details and a full solution look at [this Khan academy post](https://www.khanacademy.org/math/multivariable-calculus/applications-of-multivariable-derivatives/constrained-optimization/a/lagrange-multipliers-single-constraint)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.3 Dual optimization problem \n", + "For the primal soft-margin SVM we considered the following optimization problem: \n", + "$$ \\min_{\\mathbf{w}, b, \\mathbf{\\xi}} \\frac{1}{2} \\Vert \\mathbf{w} \\Vert^2 + C \\sum_{n=1}^N \\xi_n $$\n", + "\n", + "$$ \\text{subject to:} $$\n", + "\n", + "$$ y_n(\\langle \\mathbf{w}, \\mathbf{x}_n \\rangle + b) \\ge 1 - \\xi_n $$\n", + "\n", + "$$ \\xi_i \\ge 0 \\text{ for all } n = 1, ..., N $$\n", + "\n", + "Note: the optimization problem is somewhat not displayed correctly within the GitHub version of the notebook. It should look as follows:\n", + "\n", + "\n", + "\n", + "To derive the corresponding Lagrangian we will introduce two Lagrange multipliers: $\\alpha_n$ for the first constraint (that all examples are classified correctly) and $\\lambda_n$ for the second constraint (non-negativity of the slack variables). The Lagrangian is then given by:\n", + "\n", + "$$\n", + "\\begin{aligned}\n", + "\\mathfrak{L}(\\boldsymbol{w}, b, \\xi, \\alpha, \\gamma)=& \\frac{1}{2}\\|\\boldsymbol{w}\\|^{2}+C \\sum_{n=1}^{N} \\xi_{n} \\\\\n", + "& \\underbrace{-\\sum_{n=1}^{N} \\alpha_{n}\\left(y_{n}\\left(\\left\\langle\\boldsymbol{w}, \\boldsymbol{x}_{n}\\right\\rangle+b\\right)-1+\\xi_{n}\\right)}_{\\text{first constraint}} \\underbrace{-\\sum_{n=1}^{N} \\gamma_{n} \\xi_{n}}_{\\text{second constraint}}\n", + "\\end{aligned}\n", + "$$\n", + "\n", + "Next, we have to compute the partial derivatives of the Lagrangian with respect to the variables $\\mathbf{w}, b$ and $\\xi$: $\\frac{\\partial \\mathfrak{L}}{\\partial \\mathbf{w}}, \\frac{\\partial \\mathfrak{L}}{\\partial b}, \\frac{\\partial \\mathfrak{L}}{\\partial \\xi}$. When setting the first partial derivative to zero we obtain an important interim result: \n", + "$$ \\mathbf{w} = \\sum_{n=1}^N \\alpha_n y_n \\mathbf{x}_n $$\n", + "\n", + "This equation states the the optimal solution for the weight vector is given by a linear combination of our training examples. After setting the other partial derivatives to zero, using the result and simplifying the equations we end up with the following optimization problem (for details see section 12.3.1 of the [Mathematics for Machine Learning book](https://mml-book.com)):\n", + "\n", + "$$\\min _{\\boldsymbol{\\alpha}} \\frac{1}{2} \\sum_{i=1}^{N} \\sum_{j=1}^{N} y_{i} y_{j} \\alpha_{i} \\alpha_{j}\\left\\langle\\mathbf{x}_{i}, \\mathbf{x}_{j}\\right\\rangle-\\sum_{i=1}^{N} \\alpha_{i}$$\n", + "$$ \\text{subject to:} $$\n", + "$$\\sum_{i=1}^{N} y_{i} \\alpha_{i}=0$$\n", + "$$0 \\le \\alpha_{i} \\le C \\text{ for all } i=1, \\ldots, N$$\n", + "\n", + "Note: the optimization problem is somewhat not displayed correctly within the GitHub version of the notebook. It should look as follows:\n", + "\n", + "\n", + "\n", + "This constrained quadratic optimization problem can be solved very efficiently, for example with quadratic programming techniques. One popular library for solving dual SVMs is [libsvm](https://github.com/cjlin1/libsvm) which makes use of a decomposition method to solve the problem (see [this paper](https://www.csie.ntu.edu.tw/~cjlin/papers/libsvm.pdf) for more details). However, several other approaches exist." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 7. Primal vs. dual approach \n", + "\n", + "Most SVM research in the last decade has been about the dual formulation. Why this is the case is not clear. Both approaches have advantages and disadvantages. In the paper [\"Training a Support Vector Machine in the Primal\"](https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.129.3368&rep=rep1&type=pdf) Chapelle et al. mention the following hypothesis: \n", + "\n", + "> We believe that it is because SVMs were first introduced in their hard margin formulation (Boser et al., 1992), for which a dual optimization (because of the constraints) seems more natural. In general, however, soft margin SVMs should be preferred, even if the training data are separable: the decision boundary is more robust because more training points are taken into account (Chapelle et al., 2000). We do not pretend that primal optimization is better in general; our main motivation wasto point out that primal and dual are two sides of the same coin and that there is no reason to look always at the same side." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 8. Kernels / non-linear SVM \n", + "\n", + "### 8.1 What is a kernel? \n", + "If you take another look at the optimization equation of dual SVMs you will notice that it computes the inner product $\\left\\langle\\mathbf{x}_{i}, \\mathbf{x}_{j}\\right\\rangle$ between all datapoints $\\mathbf{x}_{i}, \\mathbf{x}_{j}$. A kernel is a way to compute this inner product implicitely in some (potentially very high dimensional) feature space. To be more precise: assume we have some mapping function $\\varphi$ which maps an $n$ dimensional input vector to an $m$ dimensional output vector: $\\varphi \\, : \\, \\mathbb R^n \\to \\mathbb R^m$. Given this mapping function we can compute the dot product of two vectors $\\mathbf x$ and $\\mathbf y$ in this space as follows: $\\varphi(\\mathbf x)^T \\varphi(\\mathbf y)$.\n", + "\n", + "A kernel is a function $k$ that gives the same result as this dot product: $k(\\mathbf x, \\mathbf y) = \\varphi(\\mathbf x)^T \\varphi(\\mathbf y)$. In other words: the kernel function is equivalent to the dot product of the mapping function." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 8.2 What are kernels good for? \n", + "\n", + "Until now (apart from the soft-margin SVM) our SVMs, both primal and dual, are only able to classify data that is [linearly separable](https://en.wikipedia.org/wiki/Linear_separability). However, most datasets in practice won't be of this form. We need a way to classify data that is **not** linearly separable. This is where the so called **kernel trick** comes into play.\n", + "\n", + "Because the objective function of the dual SVM contains inner products only between datapoints $\\mathbf{x}_i, \\mathbf{x}_j$, we can easily replace this inner product (that is, $\\left\\langle\\mathbf{x}_{i}, \\mathbf{x}_{j}\\right\\rangle$ ) with some mapping function $\\varphi(\\mathbf{x}_i)^T \\varphi(\\mathbf{x}_j)$. This mapping function can be non-linear, allowing us to compute an SVM that is non-linear with respect to the input examples. The mapping function takes our input data (which is not linearly separable) and transforms it into some higher-dimensional space where it becomes linearly separable. This is illustrated in the figure below.\n", + "\n", + "\n", + "\n", + "In theory, we could use any mapping function we like. In practice, however, computing inner products is expensive. Therefore, we use mapping functions that have a corresponding kernel function. This will allow us to map the datapoints into a higher dimensional space without ever explicitely computing the (expensive) inner products.\n", + "\n", + "Let's take a look at an example. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 8.3 Example \n", + "Note: this example was taken from [this StackExchange post](https://stats.stackexchange.com/posts/153134).\n", + "\n", + "We can create a simple polynomial kernel as follows: $k(\\mathbf{x}, \\mathbf{y}) = (1 + \\mathbf x^T \\mathbf y)^2$ with $\\mathbf x, \\mathbf y \\in \\mathbb R^2$. The kernel does not seem to correspond to any mapping function $\\varphi$, it's just a function that returns a real number. Our input vectors $\\mathbf{x}, \\mathbf{y}$ are 2-dimensional: $\\mathbf x = (x_1, x_2)$ and $\\mathbf y = (y_1, y_2)$. With this knowledge we can expand the kernel computation:\n", + "\n", + "$\\begin{align*}\n", + "k(\\mathbf x, \\mathbf y) & = (1 + \\mathbf x^T \\mathbf y)^2 \\\\\n", + "&= (1 + x_1 \\, y_1 + x_2 \\, y_2)^2 \\\\\n", + " & = 1 + x_1^2 y_1^2 + x_2^2 y_2^2 + 2 x_1 y_1 + 2 x_2 y_2 + 2 x_1 x_2 y_1 y_2\n", + "\\end{align*}$\n", + "\n", + "Note that this is nothing else but a dot product between two vectors $(1, x_1^2, x_2^2, \\sqrt{2} x_1, \\sqrt{2} x_2, \\sqrt{2} x_1 x_2)$ and $(1, y_1^2, y_2^2, \\sqrt{2} y_1, \\sqrt{2} y_2, \\sqrt{2} y_1 y_2)$. This can be expressed with the following mapping function: \n", + "$$\\varphi(\\mathbf x) = \\varphi(x_1, x_2) = (1, x_1^2, x_2^2, \\sqrt{2} x_1, \\sqrt{2} x_2, \\sqrt{2} x_1 x_2)$$\n", + "\n", + "So the kernel $k(\\mathbf x, \\mathbf y) = (1 + \\mathbf x^T \\mathbf y)^2 = \\varphi(\\mathbf x)^T \\varphi(\\mathbf y)$ computes a dot product in 6-dimensional space without explicitly visiting this space. The generalization from an inner product to a kernel function is known as the **kernel trick**.\n", + "\n", + "Several popular kernel functions exist. Popular ones are, for example, the [polyomial kernel](https://en.wikipedia.org/wiki/Polynomial_kernel) or [RBF kernel](https://en.wikipedia.org/wiki/Radial_basis_function_kernel)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 8.4 Can we also use kernels in the primal SVM? \n", + "\n", + "Yes, the kernel trick can be applied to primal SVM's, too. It's not as straightforward as with dual SVMs but still possible. Consider [this paper by Chapelle et al.](https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.129.3368&rep=rep1&type=pdf) as an example." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 8.5 How do I choose the right kernel for my problem? \n", + "\n", + "The problem of choosing the right kernel has been answered in [this StackExchange post](\n", + "https://stats.stackexchange.com/questions/18030/how-to-select-kernel-for-svm). \n", + "\n", + "Summary:\n", + "- Without expert knowledge, the Radial Basis Function kernel makes a good default kernel (in case you need a non-linear model)\n", + "- The choice of the kernel and parameters can be automated by optimising a cross-validation based model selection\n", + "- Choosing the kernel and parameters automatically is tricky, as it is very easy to overfit the model selection criterion" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 9. Sources and further reading \n", + "\n", + "The basis for this notebook is chapter 12 of the book [Mathematics for Machine Learning](https://mml-book.github.io/). I can highly recommend to read through the entire chapter to get a deeper understanding of support vector machines.\n", + "\n", + "Another source I liked very much is [this MIT lecture on SVMs](https://www.youtube.com/watch?v=_PwhiWxHK8o)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/maths/README.md b/appkits/qpyapp/src/qpynotes/topics/maths/README.md new file mode 100644 index 0000000..f739bb2 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/maths/README.md @@ -0,0 +1,3 @@ +# README + +- [manim](https://docs.manim.community/en/stable/tutorials/quickstart.html) diff --git a/appkits/qpyapp/src/qpynotes/topics/maths/probablistic.ipynb b/appkits/qpyapp/src/qpynotes/topics/maths/probablistic.ipynb new file mode 100644 index 0000000..e124798 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/maths/probablistic.ipynb @@ -0,0 +1,31 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": "## Bayesian Methods for Hackers\n", + "id": "3477f9ed248406c4" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/.gitignore b/appkits/qpyapp/src/qpynotes/topics/pandas/.gitignore new file mode 100644 index 0000000..38fb41f --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/.gitignore @@ -0,0 +1,4 @@ +.ipynb_checkpoints/ +.DS_Store +*.pyc +extras/ diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/21_more_pandas_tricks.ipynb b/appkits/qpyapp/src/qpynotes/topics/pandas/21_more_pandas_tricks.ipynb new file mode 100644 index 0000000..87db951 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/21_more_pandas_tricks.ipynb @@ -0,0 +1,7139 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Data School: 21 more pandas tricks ([video](https://www.youtube.com/watch?v=tWFQqaRtSQA&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=36))\n", + "\n", + "**See also:** \"My top 25 pandas tricks\" [video](https://www.youtube.com/watch?v=RlIiVeig3hc&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=35) and [notebook](https://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/top_25_pandas_tricks.ipynb)\n", + "\n", + "- Watch the [complete pandas video series](https://www.dataschool.io/easier-data-analysis-with-pandas/)\n", + "- Connect on [Twitter](https://twitter.com/justmarkham), [Facebook](https://www.facebook.com/DataScienceSchool/), and [LinkedIn](https://www.linkedin.com/in/justmarkham/)\n", + "- Subscribe on [YouTube](https://www.youtube.com/dataschool?sub_confirmation=1)\n", + "- Join the [email newsletter](https://www.dataschool.io/subscribe/)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Table of contents\n", + "\n", + "1. Check for equality\n", + "2. Check for equality (alternative)\n", + "3. Use NumPy without importing NumPy\n", + "4. Calculate memory usage\n", + "5. Count the number of words in a column\n", + "6. Convert one set of values to another\n", + "7. Convert continuous data into categorical data (alternative)\n", + "8. Create a cross-tabulation\n", + "9. Create a datetime column from multiple columns\n", + "10. Resample a datetime column\n", + "11. Read and write from compressed files\n", + "12. Fill missing values using interpolation\n", + "13. Check for duplicate merge keys\n", + "14. Transpose a wide DataFrame\n", + "15. Create an example DataFrame (alternative)\n", + "16. Identify rows that are missing from a DataFrame\n", + "17. Use query to avoid intermediate variables\n", + "18. Reshape a DataFrame from wide format to long format\n", + "19. Reverse row order (alternative)\n", + "20. Reverse column order (alternative)\n", + "21. Split a string into multiple columns (alternative)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry')\n", + "stocks = pd.read_csv('http://bit.ly/smallstocks', parse_dates=['Date'])\n", + "titanic = pd.read_csv('http://bit.ly/kaggletrain')\n", + "ufo = pd.read_csv('http://bit.ly/uforeports', parse_dates=['Time'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for equality" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's create an example DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ab
01.01.0
12.02.0
2NaNNaN
\n", + "
" + ], + "text/plain": [ + " a b\n", + "0 1.0 1.0\n", + "1 2.0 2.0\n", + "2 NaN NaN" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.DataFrame({'a':[1, 2, np.nan], 'b':[1, 2, np.nan]})\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Do you ever have two DataFrame columns that look similar, and you want to know if they are actually identical?\n", + "\n", + "This is not a reliable method for checking:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 True\n", + "1 True\n", + "2 False\n", + "dtype: bool" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.a == df.b" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You would think that would return 3 `True` values, but it actually returns `False` any time there is a missing value:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.nan == np.nan" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Instead, you can check for equality using the `equals()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.a.equals(df.b)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Similarly, this is how you would check if two DataFrames are identical:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_new = df.copy()\n", + "df_new.equals(df)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We made a copy of \"df\" and then used the DataFrame `equals()` method." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Check for equality (alternative)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's create another example DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
cde
011.01.000000
122.02.000000
233.03.000005
\n", + "
" + ], + "text/plain": [ + " c d e\n", + "0 1 1.0 1.000000\n", + "1 2 2.0 2.000000\n", + "2 3 3.0 3.000005" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.DataFrame({'c':[1, 2, 3], 'd':[1.0, 2.0, 3.0], 'e':[1.0, 2.0, 3.000005]})\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It's important to note that the `equals()` method (shown in the first trick) requires identical data types in order to return `True`:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.c.equals(df.d)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This returned `False` because \"c\" is integer and \"d\" is float.\n", + "\n", + "For more flexibility in how the equality checking is done, use the `assert_series_equal()` function:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "pd.testing.assert_series_equal(df.c, df.d, check_names=False, check_dtype=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The assertion passed (thus no error was raised) because we specified that data type can be ignored.\n", + "\n", + "As well, you can check whether values are approximately equal, rather than identical:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "pd.testing.assert_series_equal(df.d, df.e, check_names=False, check_exact=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The assertion passed even though \"d\" and \"e\" have slightly different values.\n", + "\n", + "For checking DataFrames, there's a similar function called `assert_frame_equal()`:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "df_new = df.copy()\n", + "pd.testing.assert_frame_equal(df, df_new)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Use NumPy without importing NumPy" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Although pandas is mostly a superset of NumPy's functionality, there are occasions on which you still have to import NumPy. One example is if you want to create a DataFrame of random values:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
0123
00.5488140.7151890.6027630.544883
10.4236550.6458940.4375870.891773
\n", + "
" + ], + "text/plain": [ + " 0 1 2 3\n", + "0 0.548814 0.715189 0.602763 0.544883\n", + "1 0.423655 0.645894 0.437587 0.891773" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.random.seed(0)\n", + "pd.DataFrame(np.random.rand(2, 4))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "However, it turns out that you can actually access all of NumPy's functionality from within pandas, simply by typing `pd.np.` before the NumPy function name:" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/zn/8p5wr_855bjbd9s6fvn6wd7w0000gn/T/ipykernel_39811/2633834213.py:2: FutureWarning: The pandas.np module is deprecated and will be removed from pandas in a future version. Import numpy directly instead.\n", + " pd.np.random.seed(0)\n", + "/var/folders/zn/8p5wr_855bjbd9s6fvn6wd7w0000gn/T/ipykernel_39811/2633834213.py:3: FutureWarning: The pandas.np module is deprecated and will be removed from pandas in a future version. Import numpy directly instead.\n", + " pd.DataFrame(pd.np.random.rand(2, 4))\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
0123
00.5488140.7151890.6027630.544883
10.4236550.6458940.4375870.891773
\n", + "
" + ], + "text/plain": [ + " 0 1 2 3\n", + "0 0.548814 0.715189 0.602763 0.544883\n", + "1 0.423655 0.645894 0.437587 0.891773" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# NOTE: pd.np is deprecated in pandas 1.0\n", + "pd.np.random.seed(0)\n", + "pd.DataFrame(pd.np.random.rand(2, 4))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To be clear, this would have worked even if we had not explicitly imported NumPy at the start of the notebook.\n", + "\n", + "This could also be used to set a value as missing:" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/zn/8p5wr_855bjbd9s6fvn6wd7w0000gn/T/ipykernel_39811/4135636971.py:1: FutureWarning: The pandas.np module is deprecated and will be removed from pandas in a future version. Import numpy directly instead.\n", + " df.loc[0, 'e'] = pd.np.nan\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
cde
011.0NaN
122.02.000000
233.03.000005
\n", + "
" + ], + "text/plain": [ + " c d e\n", + "0 1 1.0 NaN\n", + "1 2 2.0 2.000000\n", + "2 3 3.0 3.000005" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# NOTE: pd.np is deprecated in pandas 1.0\n", + "df.loc[0, 'e'] = pd.np.nan\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "That being said, I would still recommend following the convention of `import numpy as np` rather than using `pd.np` since that convention is so widespread." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Calculate memory usage" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here's a DataFrame of UFO sightings:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY1930-06-01 22:00:00
1WillingboroNaNOTHERNJ1930-06-30 20:00:00
2HolyokeNaNOVALCO1931-02-15 14:00:00
3AbileneNaNDISKKS1931-06-01 13:00:00
4New York Worlds FairNaNLIGHTNY1933-04-18 19:00:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State \\\n", + "0 Ithaca NaN TRIANGLE NY \n", + "1 Willingboro NaN OTHER NJ \n", + "2 Holyoke NaN OVAL CO \n", + "3 Abilene NaN DISK KS \n", + "4 New York Worlds Fair NaN LIGHT NY \n", + "\n", + " Time \n", + "0 1930-06-01 22:00:00 \n", + "1 1930-06-30 20:00:00 \n", + "2 1931-02-15 14:00:00 \n", + "3 1931-06-01 13:00:00 \n", + "4 1933-04-18 19:00:00 " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can calculate the memory used by the entire DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 18241 entries, 0 to 18240\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 City 18216 non-null object \n", + " 1 Colors Reported 2882 non-null object \n", + " 2 Shape Reported 15597 non-null object \n", + " 3 State 18241 non-null object \n", + " 4 Time 18241 non-null datetime64[ns]\n", + "dtypes: datetime64[ns](1), object(4)\n", + "memory usage: 4.0 MB\n" + ] + } + ], + "source": [ + "ufo.info(memory_usage='deep')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can also calculate memory used by each column (in bytes):" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index 128\n", + "City 1205618\n", + "Colors Reported 671313\n", + "Shape Reported 1065230\n", + "State 1076219\n", + "Time 145928\n", + "dtype: int64" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo.memory_usage(deep=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This information might help you to decide how to optimize your DataFrame storage." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5. Count the number of words in a column" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's count the values in this column from the \"ufo\" DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "RED 780\n", + "GREEN 531\n", + "ORANGE 528\n", + "BLUE 450\n", + "YELLOW 169\n", + "RED GREEN 89\n", + "RED BLUE 78\n", + "RED ORANGE 44\n", + "GREEN BLUE 34\n", + "RED GREEN BLUE 33\n", + "ORANGE YELLOW 26\n", + "RED YELLOW 25\n", + "ORANGE GREEN 23\n", + "YELLOW GREEN 17\n", + "ORANGE BLUE 10\n", + "RED YELLOW GREEN 9\n", + "YELLOW BLUE 6\n", + "YELLOW GREEN BLUE 5\n", + "ORANGE GREEN BLUE 5\n", + "RED YELLOW GREEN BLUE 4\n", + "RED ORANGE YELLOW 4\n", + "RED YELLOW BLUE 3\n", + "RED ORANGE GREEN 3\n", + "RED ORANGE BLUE 3\n", + "RED ORANGE YELLOW BLUE 1\n", + "ORANGE YELLOW GREEN 1\n", + "ORANGE YELLOW BLUE 1\n", + "Name: Colors Reported, dtype: int64" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo['Colors Reported'].value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Notice that many of the entries have mulitple colors. What if all we cared about was the number of colors, and not the colors themselves?\n", + "\n", + "We can count the colors by using a string method to count the number of spaces, and then add 1:" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.0 2458\n", + "2.0 352\n", + "3.0 67\n", + "4.0 5\n", + "Name: Colors Reported, dtype: int64" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(ufo['Colors Reported'].str.count(' ') + 1).value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6. Convert one set of values to another" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using the Titanic dataset as an example, I'm going to highlight three different ways that you can convert one set of values to another.\n", + "\n", + "Let's start with the \"Sex\" column:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 male\n", + "1 female\n", + "2 female\n", + "3 female\n", + "4 male\n", + "Name: Sex, dtype: object" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.Sex.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are two different values in this column. If you need to convert these values to 0 and 1, you can use the `map()` method and pass it a dictionary specifying how you want to map the values:" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 0\n", + "1 1\n", + "2 1\n", + "3 1\n", + "4 0\n", + "Name: Sex_num, dtype: int64" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic['Sex_num'] = titanic.Sex.map({'male':0, 'female':1})\n", + "titanic.Sex_num.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As we specified, \"male\" has become 0 and \"female\" has become 1.\n", + "\n", + "Next, let's look at the \"Embarked\" column:" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 S\n", + "1 C\n", + "2 S\n", + "3 S\n", + "4 S\n", + "5 Q\n", + "6 S\n", + "7 S\n", + "8 S\n", + "9 C\n", + "Name: Embarked, dtype: object" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.Embarked.head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are three different values in this column: S, C, and Q. If you need to convert them to 0, 1, and 2, you could use the `map()` method, but the `factorize()` method is even easier:" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 0\n", + "1 1\n", + "2 0\n", + "3 0\n", + "4 0\n", + "5 2\n", + "6 0\n", + "7 0\n", + "8 0\n", + "9 1\n", + "Name: Embarked_num, dtype: int64" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic['Embarked_num'] = titanic.Embarked.factorize()[0]\n", + "titanic.Embarked_num.head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`factorize()` returns a tuple in which the first element contains the new values, which is why I had to use `[0]` to extract the values.\n", + "\n", + "You can see that \"S\" has become 0, \"C\" has become 1, and \"Q\" has become 2. It chose that mapping based on the order in which the values appear in the Series, and if you need to reference the mapping, it's stored in the second value in the tuple:" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['S', 'C', 'Q'], dtype='object')" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.Embarked.factorize()[1]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, let's look at the \"SibSp\" column:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 1\n", + "1 1\n", + "2 0\n", + "3 1\n", + "4 0\n", + "5 0\n", + "6 0\n", + "7 3\n", + "8 0\n", + "9 1\n", + "Name: SibSp, dtype: int64" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.SibSp.head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's say that you needed to keep the zeros as-is and convert all other values to one. You can express this as a condition, `SibSp > 0`, which will return a boolean Series that you can convert to integers using the `astype()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 1\n", + "1 1\n", + "2 0\n", + "3 1\n", + "4 0\n", + "5 0\n", + "6 0\n", + "7 1\n", + "8 0\n", + "9 1\n", + "Name: SibSp_binary, dtype: int64" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic['SibSp_binary'] = (titanic.SibSp > 0).astype('int')\n", + "titanic.SibSp_binary.head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Notice that the only value greater than 1 has been converted to a 1." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 7. Convert continuous data into categorical data (alternative)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the main tricks video, I used the `cut()` function to convert the \"Age\" column from continuous to categorical data:" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 young adult\n", + "1 adult\n", + "2 adult\n", + "3 adult\n", + "4 adult\n", + "5 NaN\n", + "6 adult\n", + "7 child\n", + "8 adult\n", + "9 child\n", + "Name: Age, dtype: category\n", + "Categories (3, object): ['child' < 'young adult' < 'adult']" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.cut(titanic.Age, bins=[0, 18, 25, 99], labels=['child', 'young adult', 'adult']).head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "When using `cut()`, we had to choose the edges of each bin. But if you want pandas to choose the bin edges for you, you can use the `qcut()` function instead:" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 (0.419, 23.0]\n", + "1 (34.0, 80.0]\n", + "2 (23.0, 34.0]\n", + "3 (34.0, 80.0]\n", + "4 (34.0, 80.0]\n", + "5 NaN\n", + "6 (34.0, 80.0]\n", + "7 (0.419, 23.0]\n", + "8 (23.0, 34.0]\n", + "9 (0.419, 23.0]\n", + "Name: Age, dtype: category\n", + "Categories (3, interval[float64, right]): [(0.419, 23.0] < (23.0, 34.0] < (34.0, 80.0]]" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.qcut(titanic.Age, q=3).head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We told `qcut()` to create 3 bins, and it chose bin edges that would result in bins of approximately equal size:" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.419, 23.0] 246\n", + "(34.0, 80.0] 236\n", + "(23.0, 34.0] 232\n", + "Name: Age, dtype: int64" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.qcut(titanic.Age, q=3).value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As you can see, the three bins are ages 0 to 23, 23 to 34, and 34 to 80, and they all contain roughly the same number of observations." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 8. Create a cross-tabulation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Sometimes you just want to count the number of observations in each category. If you're interested in a single column, you would use the `value_counts()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "male 577\n", + "female 314\n", + "Name: Sex, dtype: int64" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.Sex.value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "But if you want to count the number of observations that appear in each combination of categories, you would use the `crosstab()` function:" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Pclass123
Sex
female9476144
male122108347
\n", + "
" + ], + "text/plain": [ + "Pclass 1 2 3\n", + "Sex \n", + "female 94 76 144\n", + "male 122 108 347" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.crosstab(titanic.Sex, titanic.Pclass)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Just like a pivot table, you can include row and column totals by setting `margins=True`:" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Pclass123All
Sex
female9476144314
male122108347577
All216184491891
\n", + "
" + ], + "text/plain": [ + "Pclass 1 2 3 All\n", + "Sex \n", + "female 94 76 144 314\n", + "male 122 108 347 577\n", + "All 216 184 491 891" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.crosstab(titanic.Sex, titanic.Pclass, margins=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In fact, you can actually create this same table using the `pivot_table()` method with `'count'` as the aggregation function:" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Pclass123All
Sex
female9476144314
male122108347577
All216184491891
\n", + "
" + ], + "text/plain": [ + "Pclass 1 2 3 All\n", + "Sex \n", + "female 94 76 144 314\n", + "male 122 108 347 577\n", + "All 216 184 491 891" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.pivot_table(index='Sex', columns='Pclass', values='Survived',\n", + " aggfunc='count', margins=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 9. Create a datetime column from multiple columns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's create an example DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
monthdayyearholiday
012252019christmas
111282019thanksgiving
\n", + "
" + ], + "text/plain": [ + " month day year holiday\n", + "0 12 25 2019 christmas\n", + "1 11 28 2019 thanksgiving" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.DataFrame([[12, 25, 2019, 'christmas'], [11, 28, 2019, 'thanksgiving']],\n", + " columns=['month', 'day', 'year', 'holiday'])\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can create a new datetime column simply by passing the relevant columns to `pd.to_datetime()`:" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
monthdayyearholidaydate
012252019christmas2019-12-25
111282019thanksgiving2019-11-28
\n", + "
" + ], + "text/plain": [ + " month day year holiday date\n", + "0 12 25 2019 christmas 2019-12-25\n", + "1 11 28 2019 thanksgiving 2019-11-28" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['date'] = pd.to_datetime(df[['month', 'day', 'year']])\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The new date column has a datetime data type:" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "month int64\n", + "day int64\n", + "year int64\n", + "holiday object\n", + "date datetime64[ns]\n", + "dtype: object" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Keep in mind that you must include month, day, and year columns at a minimum, but you can also include hour, minute, and second." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 10. Resample a datetime column" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's take a look at the stocks dataset:" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateCloseVolumeSymbol
02016-10-0331.5014070500CSCO
12016-10-03112.5221701800AAPL
22016-10-0357.4219189500MSFT
32016-10-04113.0029736800AAPL
42016-10-0457.2420085900MSFT
52016-10-0431.3518460400CSCO
62016-10-0557.6416726400MSFT
72016-10-0531.5911808600CSCO
82016-10-05113.0521453100AAPL
\n", + "
" + ], + "text/plain": [ + " Date Close Volume Symbol\n", + "0 2016-10-03 31.50 14070500 CSCO\n", + "1 2016-10-03 112.52 21701800 AAPL\n", + "2 2016-10-03 57.42 19189500 MSFT\n", + "3 2016-10-04 113.00 29736800 AAPL\n", + "4 2016-10-04 57.24 20085900 MSFT\n", + "5 2016-10-04 31.35 18460400 CSCO\n", + "6 2016-10-05 57.64 16726400 MSFT\n", + "7 2016-10-05 31.59 11808600 CSCO\n", + "8 2016-10-05 113.05 21453100 AAPL" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What if you wanted to calculate the mean closing price by day across all stocks? Use the `resample()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Date\n", + "2016-10-03 67.146667\n", + "2016-10-04 67.196667\n", + "2016-10-05 67.426667\n", + "Freq: D, Name: Close, dtype: float64" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.resample('D', on='Date').Close.mean()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can think of resampling as a `groupby()` for datetime data, and in fact the structure of the command looks very similar to a `groupby()`. \"D\" specifies that the resampling frequency should be daily, and the \"on\" parameter specifics the column on which we're resampling.\n", + "\n", + "If the datetime column is the index, you can skip the `on` parameter. For example, let's give the ufo DataFrame a DatetimeIndex:" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedState
Time
1930-06-01 22:00:00IthacaNaNTRIANGLENY
1930-06-30 20:00:00WillingboroNaNOTHERNJ
1931-02-15 14:00:00HolyokeNaNOVALCO
1931-06-01 13:00:00AbileneNaNDISKKS
1933-04-18 19:00:00New York Worlds FairNaNLIGHTNY
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State\n", + "Time \n", + "1930-06-01 22:00:00 Ithaca NaN TRIANGLE NY\n", + "1930-06-30 20:00:00 Willingboro NaN OTHER NJ\n", + "1931-02-15 14:00:00 Holyoke NaN OVAL CO\n", + "1931-06-01 13:00:00 Abilene NaN DISK KS\n", + "1933-04-18 19:00:00 New York Worlds Fair NaN LIGHT NY" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo = ufo.set_index('Time')\n", + "ufo.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we can use `resample()` and it will automatically resample based on the index:" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Time\n", + "1996-12-31 851\n", + "1997-12-31 1237\n", + "1998-12-31 1743\n", + "1999-12-31 2774\n", + "2000-12-31 2635\n", + "Freq: A-DEC, Name: State, dtype: int64" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo.resample('Y').State.count().tail()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "That's the count of the number of UFO sightings by year.\n", + "\n", + "We can calculate the count by month by changing the resampling frequency from \"Y\" to \"M\":" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Time\n", + "2000-08-31 250\n", + "2000-09-30 257\n", + "2000-10-31 278\n", + "2000-11-30 200\n", + "2000-12-31 192\n", + "Freq: M, Name: State, dtype: int64" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo.resample('M').State.count().tail()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The string that you pass to `resample()` is known as the offset alias, and pandas supports [many offset aliases](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases) other than just \"D\", \"M\", and \"Y\"." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 11. Read and write from compressed files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "When you want to save a DataFrame to a CSV file, you use the `to_csv()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "ufo.to_csv('ufo.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "However, you can actually compress the CSV file as well:" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "ufo.to_csv('ufo.csv.zip')\n", + "ufo.to_csv('ufo.csv.gz')\n", + "ufo.to_csv('ufo.csv.bz2')\n", + "ufo.to_csv('ufo.csv.xz')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "By using one of these file extensions, pandas infers the type of compression you want it to use.\n", + "\n", + "You can use a shell command to see all of the files we've created:" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-rw-r--r-- 1 kevin staff 748033 Apr 27 14:27 ufo.csv\r\n", + "-rw-r--r-- 1 kevin staff 129189 Apr 27 14:27 ufo.csv.bz2\r\n", + "-rw-r--r-- 1 kevin staff 198030 Apr 27 14:27 ufo.csv.gz\r\n", + "-rw-r--r-- 1 kevin staff 149320 Apr 27 14:27 ufo.csv.xz\r\n", + "-rw-r--r-- 1 kevin staff 200317 Apr 27 14:27 ufo.csv.zip\r\n" + ] + } + ], + "source": [ + "!ls -l ufo.*" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can see that all of the compressed files are significantly smaller than the uncompressed CSV file.\n", + "\n", + "Finally, you can actually read directly from a compressed file using `read_csv()`:" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedState
Time
1930-06-01 22:00:00IthacaNaNTRIANGLENY
1930-06-30 20:00:00WillingboroNaNOTHERNJ
1931-02-15 14:00:00HolyokeNaNOVALCO
1931-06-01 13:00:00AbileneNaNDISKKS
1933-04-18 19:00:00New York Worlds FairNaNLIGHTNY
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State\n", + "Time \n", + "1930-06-01 22:00:00 Ithaca NaN TRIANGLE NY\n", + "1930-06-30 20:00:00 Willingboro NaN OTHER NJ\n", + "1931-02-15 14:00:00 Holyoke NaN OVAL CO\n", + "1931-06-01 13:00:00 Abilene NaN DISK KS\n", + "1933-04-18 19:00:00 New York Worlds Fair NaN LIGHT NY" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo_new = pd.read_csv('ufo.csv.gz', index_col='Time', parse_dates=['Time'])\n", + "ufo_new.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And we can confirm that the new ufo DataFrame is equivalent to the original ufo DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo_new.equals(ufo)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 12. Fill missing values using interpolation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's create an example time series DataFrame with some missing values:" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ab
2019-01-01100.09.0
2019-02-01120.09.0
2019-03-01130.0NaN
2019-04-01NaN7.5
2019-05-01140.06.5
\n", + "
" + ], + "text/plain": [ + " a b\n", + "2019-01-01 100.0 9.0\n", + "2019-02-01 120.0 9.0\n", + "2019-03-01 130.0 NaN\n", + "2019-04-01 NaN 7.5\n", + "2019-05-01 140.0 6.5" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.DataFrame({'a':[100, 120, 130, np.nan, 140], 'b':[9, 9, np.nan, 7.5, 6.5]})\n", + "df.index = pd.to_datetime(['2019-01', '2019-02', '2019-03', '2019-04', '2019-05'])\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If appropriate, you can fill in the missing values using interpolation:" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ab
2019-01-01100.09.00
2019-02-01120.09.00
2019-03-01130.08.25
2019-04-01135.07.50
2019-05-01140.06.50
\n", + "
" + ], + "text/plain": [ + " a b\n", + "2019-01-01 100.0 9.00\n", + "2019-02-01 120.0 9.00\n", + "2019-03-01 130.0 8.25\n", + "2019-04-01 135.0 7.50\n", + "2019-05-01 140.0 6.50" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.interpolate()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This uses linear interpolation by default, though other methods are supported." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 13. Check for duplicate merge keys" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's create two example DataFrames:" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
colornum
0green1
1yellow2
2red3
\n", + "
" + ], + "text/plain": [ + " color num\n", + "0 green 1\n", + "1 yellow 2\n", + "2 red 3" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "left = pd.DataFrame({'color': ['green', 'yellow', 'red'], 'num':[1, 2, 3]})\n", + "left" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
colorsize
0greenS
1yellowM
2pinkL
3greenXL
\n", + "
" + ], + "text/plain": [ + " color size\n", + "0 green S\n", + "1 yellow M\n", + "2 pink L\n", + "3 green XL" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "right = pd.DataFrame({'color': ['green', 'yellow', 'pink', 'green'], 'size':['S', 'M', 'L', 'XL']})\n", + "right" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We want to merge these DataFrames.\n", + "\n", + "What if we wanted to confirm that the merge keys (\"color\" in this case) are unique in the left dataset? We would use \"one-to-many\" validation:" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
colornumsize
0green1S
1green1XL
2yellow2M
\n", + "
" + ], + "text/plain": [ + " color num size\n", + "0 green 1 S\n", + "1 green 1 XL\n", + "2 yellow 2 M" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.merge(left, right, how='inner', validate='one_to_many')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It did the merge, and validated that the values of \"color\" in the left dataset are unique.\n", + "\n", + "What if we wanted to confirm that the merge keys are unique in the right dataset? We would use \"many-to-one\" validation:" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "# pd.merge(left, right, how='inner', validate='many_to_one')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This resulted in an error, because the values of \"color\" in the right dataset are not unique." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 14. Transpose a wide DataFrame" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's create an example DataFrame with 200 rows and 25 columns:" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(np.random.rand(200, 25), columns=list('ABCDEFGHIJKLMNOPQRSTUVWXY'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you wanted to get a sense of the data by examining the head, you wouldn't see all of the columns due to the default display options:" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ABCDEFGHIJ...PQRSTUVWXY
00.9636630.3834420.7917250.5288950.5680450.9255970.0710360.0871290.0202180.832620...0.7805290.1182740.6399210.1433530.9446690.5218480.4146620.2645560.7742340.456150
10.5684340.0187900.6176350.6120960.6169340.9437480.6818200.3595080.4370320.697631...0.3154280.3637110.5701970.4386020.9883740.1020450.2088770.1613100.6531080.253292
20.4663110.2444260.1589700.1103750.6563300.1381830.1965820.3687250.8209930.097101...0.6048460.7392640.0391880.2828070.1201970.2961400.1187280.3179830.4142630.064147
30.6924720.5666010.2653890.5232480.0939410.5759460.9292960.3185690.6674100.131798...0.8289400.0046950.6778170.2700080.7351940.9621890.2487530.5761570.5920420.572252
40.2230820.9527490.4471250.8464090.6994790.2974370.8137980.3965060.8811030.581273...0.6439900.4238550.6063930.0191930.3015750.6601740.2900780.6180150.4287690.135474
\n", + "

5 rows × 25 columns

\n", + "
" + ], + "text/plain": [ + " A B C D E F G \\\n", + "0 0.963663 0.383442 0.791725 0.528895 0.568045 0.925597 0.071036 \n", + "1 0.568434 0.018790 0.617635 0.612096 0.616934 0.943748 0.681820 \n", + "2 0.466311 0.244426 0.158970 0.110375 0.656330 0.138183 0.196582 \n", + "3 0.692472 0.566601 0.265389 0.523248 0.093941 0.575946 0.929296 \n", + "4 0.223082 0.952749 0.447125 0.846409 0.699479 0.297437 0.813798 \n", + "\n", + " H I J ... P Q R S \\\n", + "0 0.087129 0.020218 0.832620 ... 0.780529 0.118274 0.639921 0.143353 \n", + "1 0.359508 0.437032 0.697631 ... 0.315428 0.363711 0.570197 0.438602 \n", + "2 0.368725 0.820993 0.097101 ... 0.604846 0.739264 0.039188 0.282807 \n", + "3 0.318569 0.667410 0.131798 ... 0.828940 0.004695 0.677817 0.270008 \n", + "4 0.396506 0.881103 0.581273 ... 0.643990 0.423855 0.606393 0.019193 \n", + "\n", + " T U V W X Y \n", + "0 0.944669 0.521848 0.414662 0.264556 0.774234 0.456150 \n", + "1 0.988374 0.102045 0.208877 0.161310 0.653108 0.253292 \n", + "2 0.120197 0.296140 0.118728 0.317983 0.414263 0.064147 \n", + "3 0.735194 0.962189 0.248753 0.576157 0.592042 0.572252 \n", + "4 0.301575 0.660174 0.290078 0.618015 0.428769 0.135474 \n", + "\n", + "[5 rows x 25 columns]" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The easiest solution is just to transpose the head:" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
01234
A0.9636630.5684340.4663110.6924720.223082
B0.3834420.0187900.2444260.5666010.952749
C0.7917250.6176350.1589700.2653890.447125
D0.5288950.6120960.1103750.5232480.846409
E0.5680450.6169340.6563300.0939410.699479
F0.9255970.9437480.1381830.5759460.297437
G0.0710360.6818200.1965820.9292960.813798
H0.0871290.3595080.3687250.3185690.396506
I0.0202180.4370320.8209930.6674100.881103
J0.8326200.6976310.0971010.1317980.581273
K0.7781570.0602250.8379450.7163270.881735
L0.8700120.6667670.0960980.2894060.692532
M0.9786180.6706380.9764590.1831910.725254
N0.7991590.2103830.4686510.5865130.501324
O0.4614790.1289260.9767610.0201080.956084
P0.7805290.3154280.6048460.8289400.643990
Q0.1182740.3637110.7392640.0046950.423855
R0.6399210.5701970.0391880.6778170.606393
S0.1433530.4386020.2828070.2700080.019193
T0.9446690.9883740.1201970.7351940.301575
U0.5218480.1020450.2961400.9621890.660174
V0.4146620.2088770.1187280.2487530.290078
W0.2645560.1613100.3179830.5761570.618015
X0.7742340.6531080.4142630.5920420.428769
Y0.4561500.2532920.0641470.5722520.135474
\n", + "
" + ], + "text/plain": [ + " 0 1 2 3 4\n", + "A 0.963663 0.568434 0.466311 0.692472 0.223082\n", + "B 0.383442 0.018790 0.244426 0.566601 0.952749\n", + "C 0.791725 0.617635 0.158970 0.265389 0.447125\n", + "D 0.528895 0.612096 0.110375 0.523248 0.846409\n", + "E 0.568045 0.616934 0.656330 0.093941 0.699479\n", + "F 0.925597 0.943748 0.138183 0.575946 0.297437\n", + "G 0.071036 0.681820 0.196582 0.929296 0.813798\n", + "H 0.087129 0.359508 0.368725 0.318569 0.396506\n", + "I 0.020218 0.437032 0.820993 0.667410 0.881103\n", + "J 0.832620 0.697631 0.097101 0.131798 0.581273\n", + "K 0.778157 0.060225 0.837945 0.716327 0.881735\n", + "L 0.870012 0.666767 0.096098 0.289406 0.692532\n", + "M 0.978618 0.670638 0.976459 0.183191 0.725254\n", + "N 0.799159 0.210383 0.468651 0.586513 0.501324\n", + "O 0.461479 0.128926 0.976761 0.020108 0.956084\n", + "P 0.780529 0.315428 0.604846 0.828940 0.643990\n", + "Q 0.118274 0.363711 0.739264 0.004695 0.423855\n", + "R 0.639921 0.570197 0.039188 0.677817 0.606393\n", + "S 0.143353 0.438602 0.282807 0.270008 0.019193\n", + "T 0.944669 0.988374 0.120197 0.735194 0.301575\n", + "U 0.521848 0.102045 0.296140 0.962189 0.660174\n", + "V 0.414662 0.208877 0.118728 0.248753 0.290078\n", + "W 0.264556 0.161310 0.317983 0.576157 0.618015\n", + "X 0.774234 0.653108 0.414263 0.592042 0.428769\n", + "Y 0.456150 0.253292 0.064147 0.572252 0.135474" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head().T" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Since the columns have become the rows (and vice versa), we can now easily browse through the DataFrame's head.\n", + "\n", + "Transposing is also helpful when using the `describe()` method on a wide DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countmeanstdmin25%50%75%max
A200.00.4929930.2978210.0003670.2323340.4732080.7520130.995733
B200.00.5112420.2961460.0046550.2447920.5029610.7787990.995713
C200.00.4932750.2653980.0038660.2713780.5075850.6990230.993405
D200.00.5105970.2792090.0052060.2737340.5391890.7367330.999949
E200.00.4882650.2867360.0037100.2646440.4699480.7294160.992820
F200.00.4861800.3004100.0113550.2483370.4555000.7514750.999931
G200.00.4877670.2852900.0181730.2198240.4968470.7431750.980979
H200.00.4695140.2883660.0027030.2178340.4398010.7127900.985155
I200.00.4750420.2842670.0019620.2297870.4557270.7101700.996100
J200.00.4863570.2929390.0038600.2422520.4516370.7349570.983426
K200.00.5263010.2971700.0054950.2555190.5591200.7981000.994496
L200.00.5085080.2844170.0059390.2756340.5031450.7415090.999278
M200.00.5315110.2833770.0006640.3127750.5489910.7657840.997962
N200.00.4924450.2837170.0005460.2537790.4774100.7251160.990345
O200.00.4961020.2894960.0090600.2590390.4681760.7255850.995830
P200.00.5157630.3020130.0044750.2473960.5046640.8065460.997354
Q200.00.4993500.2969640.0009030.2499510.5245570.7477130.999964
R200.00.5065410.2837060.0081870.2586310.4809190.7868130.997994
S200.00.5094910.2922440.0062380.2766560.5006280.7459580.998355
T200.00.4899580.2766070.0050520.2738930.4692940.7339760.998023
U200.00.5020080.2954260.0055100.2525210.5133780.7491460.997858
V200.00.5330490.2982390.0020840.2748290.5539710.8067140.997046
W200.00.4613000.2943280.0000740.1870380.4293690.7093910.975735
X200.00.4702720.2919050.0000720.2194380.4532540.7172790.995813
Y200.00.4680690.2847500.0013830.2446200.4362730.7063540.998199
\n", + "
" + ], + "text/plain": [ + " count mean std min 25% 50% 75% max\n", + "A 200.0 0.492993 0.297821 0.000367 0.232334 0.473208 0.752013 0.995733\n", + "B 200.0 0.511242 0.296146 0.004655 0.244792 0.502961 0.778799 0.995713\n", + "C 200.0 0.493275 0.265398 0.003866 0.271378 0.507585 0.699023 0.993405\n", + "D 200.0 0.510597 0.279209 0.005206 0.273734 0.539189 0.736733 0.999949\n", + "E 200.0 0.488265 0.286736 0.003710 0.264644 0.469948 0.729416 0.992820\n", + "F 200.0 0.486180 0.300410 0.011355 0.248337 0.455500 0.751475 0.999931\n", + "G 200.0 0.487767 0.285290 0.018173 0.219824 0.496847 0.743175 0.980979\n", + "H 200.0 0.469514 0.288366 0.002703 0.217834 0.439801 0.712790 0.985155\n", + "I 200.0 0.475042 0.284267 0.001962 0.229787 0.455727 0.710170 0.996100\n", + "J 200.0 0.486357 0.292939 0.003860 0.242252 0.451637 0.734957 0.983426\n", + "K 200.0 0.526301 0.297170 0.005495 0.255519 0.559120 0.798100 0.994496\n", + "L 200.0 0.508508 0.284417 0.005939 0.275634 0.503145 0.741509 0.999278\n", + "M 200.0 0.531511 0.283377 0.000664 0.312775 0.548991 0.765784 0.997962\n", + "N 200.0 0.492445 0.283717 0.000546 0.253779 0.477410 0.725116 0.990345\n", + "O 200.0 0.496102 0.289496 0.009060 0.259039 0.468176 0.725585 0.995830\n", + "P 200.0 0.515763 0.302013 0.004475 0.247396 0.504664 0.806546 0.997354\n", + "Q 200.0 0.499350 0.296964 0.000903 0.249951 0.524557 0.747713 0.999964\n", + "R 200.0 0.506541 0.283706 0.008187 0.258631 0.480919 0.786813 0.997994\n", + "S 200.0 0.509491 0.292244 0.006238 0.276656 0.500628 0.745958 0.998355\n", + "T 200.0 0.489958 0.276607 0.005052 0.273893 0.469294 0.733976 0.998023\n", + "U 200.0 0.502008 0.295426 0.005510 0.252521 0.513378 0.749146 0.997858\n", + "V 200.0 0.533049 0.298239 0.002084 0.274829 0.553971 0.806714 0.997046\n", + "W 200.0 0.461300 0.294328 0.000074 0.187038 0.429369 0.709391 0.975735\n", + "X 200.0 0.470272 0.291905 0.000072 0.219438 0.453254 0.717279 0.995813\n", + "Y 200.0 0.468069 0.284750 0.001383 0.244620 0.436273 0.706354 0.998199" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe().T" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 15. Create an example DataFrame (alternative)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These are the methods that I taught in the main tricks video for creating example DataFrames:" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
col onecol two
0100300
1200400
\n", + "
" + ], + "text/plain": [ + " col one col two\n", + "0 100 300\n", + "1 200 400" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.DataFrame({'col one':[100, 200], 'col two':[300, 400]})" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
abcdefgh
00.2785100.2880270.8463050.7912840.5786360.2885890.3188780.592218
10.7398670.3840980.5095620.8880330.6497910.5355500.0712220.176015
20.2009920.6231480.1081130.0289950.3603510.7188590.6932490.792670
30.6962480.6132860.4861620.2084980.5685480.6366250.1237430.565147
\n", + "
" + ], + "text/plain": [ + " a b c d e f g \\\n", + "0 0.278510 0.288027 0.846305 0.791284 0.578636 0.288589 0.318878 \n", + "1 0.739867 0.384098 0.509562 0.888033 0.649791 0.535550 0.071222 \n", + "2 0.200992 0.623148 0.108113 0.028995 0.360351 0.718859 0.693249 \n", + "3 0.696248 0.613286 0.486162 0.208498 0.568548 0.636625 0.123743 \n", + "\n", + " h \n", + "0 0.592218 \n", + "1 0.176015 \n", + "2 0.792670 \n", + "3 0.565147 " + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.DataFrame(np.random.rand(4, 8), columns=list('abcdefgh'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you want an even simpler method, you can use `makeDataFrame()` to create a 30x4 DataFrame filled with random values:" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/kevin/miniconda3/envs/pd14/lib/python3.9/site-packages/pandas/util/__init__.py:15: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n", + " import pandas.util.testing\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ABCD
EmWXi3UyK3-0.250656-0.040365-0.8292030.296782
jgi4rj56bK0.919812-1.527617-0.670679-0.270356
a6Po2BAIfh2.445794-0.057607-0.3153850.736752
Ys4pDMq9Yd1.205698-2.4900900.4428201.157280
XfLAIHy1QI0.920549-0.026303-1.052564-0.658804
\n", + "
" + ], + "text/plain": [ + " A B C D\n", + "EmWXi3UyK3 -0.250656 -0.040365 -0.829203 0.296782\n", + "jgi4rj56bK 0.919812 -1.527617 -0.670679 -0.270356\n", + "a6Po2BAIfh 2.445794 -0.057607 -0.315385 0.736752\n", + "Ys4pDMq9Yd 1.205698 -2.490090 0.442820 1.157280\n", + "XfLAIHy1QI 0.920549 -0.026303 -1.052564 -0.658804" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# NOTE: pd.util.testing is deprecated in pandas 1.0\n", + "pd.util.testing.makeDataFrame().head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`makeMissingDataframe()` is similar, except that some of the values are missing:" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ABCD
8JAZ6EeRof0.0003410.5370350.656464-0.941815
GaUe9v7uYV-0.062205-0.2868350.065851-0.702835
No3fmW5dDH-0.3173491.634406-0.873631-1.378837
W5LsjKWdWfNaN0.571227-1.0577542.925250
8ijrQMVxS0-0.211620-0.789954-0.8972370.571752
\n", + "
" + ], + "text/plain": [ + " A B C D\n", + "8JAZ6EeRof 0.000341 0.537035 0.656464 -0.941815\n", + "GaUe9v7uYV -0.062205 -0.286835 0.065851 -0.702835\n", + "No3fmW5dDH -0.317349 1.634406 -0.873631 -1.378837\n", + "W5LsjKWdWf NaN 0.571227 -1.057754 2.925250\n", + "8ijrQMVxS0 -0.211620 -0.789954 -0.897237 0.571752" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# NOTE: pd.util.testing is deprecated in pandas 1.0\n", + "pd.util.testing.makeMissingDataframe().head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`makeTimeDataFrame()` is similar, except it creates a DatetimeIndex:" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ABCD
2000-01-030.470549-0.9811021.3583820.064058
2000-01-04-0.2358040.1651830.060856-1.063780
2000-01-050.678789-0.0166462.005891-0.079188
2000-01-061.1536180.1409330.081658-0.527496
2000-01-07-0.554733-0.725172-0.0792090.460215
\n", + "
" + ], + "text/plain": [ + " A B C D\n", + "2000-01-03 0.470549 -0.981102 1.358382 0.064058\n", + "2000-01-04 -0.235804 0.165183 0.060856 -1.063780\n", + "2000-01-05 0.678789 -0.016646 2.005891 -0.079188\n", + "2000-01-06 1.153618 0.140933 0.081658 -0.527496\n", + "2000-01-07 -0.554733 -0.725172 -0.079209 0.460215" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# NOTE: pd.util.testing is deprecated in pandas 1.0\n", + "pd.util.testing.makeTimeDataFrame().head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, `makeMixedDataFrame()` creates this exact 5x4 DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ABCD
00.00.0foo12009-01-01
11.01.0foo22009-01-02
22.00.0foo32009-01-05
33.01.0foo42009-01-06
44.00.0foo52009-01-07
\n", + "
" + ], + "text/plain": [ + " A B C D\n", + "0 0.0 0.0 foo1 2009-01-01\n", + "1 1.0 1.0 foo2 2009-01-02\n", + "2 2.0 0.0 foo3 2009-01-05\n", + "3 3.0 1.0 foo4 2009-01-06\n", + "4 4.0 0.0 foo5 2009-01-07" + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# NOTE: pd.util.testing is deprecated in pandas 1.0\n", + "pd.util.testing.makeMixedDataFrame()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It has 2 float columns, 1 object column, and 1 datetime column.\n", + "\n", + "There are many other similar functions that you can use:" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['makeBoolIndex',\n", + " 'makeCategoricalIndex',\n", + " 'makeCustomDataframe',\n", + " 'makeCustomIndex',\n", + " 'makeDataFrame',\n", + " 'makeDateIndex',\n", + " 'makeFloatIndex',\n", + " 'makeFloatSeries',\n", + " 'makeIntIndex',\n", + " 'makeIntervalIndex',\n", + " 'makeMissingDataframe',\n", + " 'makeMixedDataFrame',\n", + " 'makeMultiIndex',\n", + " 'makeNumericIndex',\n", + " 'makeObjectSeries',\n", + " 'makePeriodFrame',\n", + " 'makePeriodIndex',\n", + " 'makePeriodSeries',\n", + " 'makeRangeIndex',\n", + " 'makeStringIndex',\n", + " 'makeStringSeries',\n", + " 'makeTimeDataFrame',\n", + " 'makeTimeSeries',\n", + " 'makeTimedeltaIndex',\n", + " 'makeUIntIndex',\n", + " 'makeUnicodeIndex']" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# NOTE: pd.util.testing is deprecated in pandas 1.0\n", + "[x for x in dir(pd.util.testing) if x.startswith('make')]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "However, keep in mind that most of these have no arguments and no docstring, and none of them are listed in the pandas documentation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 16. Identify rows that are missing from a DataFrame" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's create a small example DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ABCD
00.00.0foo12009-01-01
11.01.0foo22009-01-02
22.00.0foo32009-01-05
33.01.0foo42009-01-06
44.00.0foo52009-01-07
\n", + "
" + ], + "text/plain": [ + " A B C D\n", + "0 0.0 0.0 foo1 2009-01-01\n", + "1 1.0 1.0 foo2 2009-01-02\n", + "2 2.0 0.0 foo3 2009-01-05\n", + "3 3.0 1.0 foo4 2009-01-06\n", + "4 4.0 0.0 foo5 2009-01-07" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# NOTE: pd.util.testing is deprecated in pandas 1.0\n", + "df1 = pd.util.testing.makeMixedDataFrame()\n", + "df1" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then let's create a copy of that DataFrame in which rows 2 and 3 are missing:" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ABCD
00.00.0foo12009-01-01
11.01.0foo22009-01-02
44.00.0foo52009-01-07
\n", + "
" + ], + "text/plain": [ + " A B C D\n", + "0 0.0 0.0 foo1 2009-01-01\n", + "1 1.0 1.0 foo2 2009-01-02\n", + "4 4.0 0.0 foo5 2009-01-07" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2 = df1.drop([2, 3], axis='rows')\n", + "df2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What if we needed to identify which rows are missing from the second DataFrame? The easiest way to do this would be to merge the two DataFrames using a left join and set `indicator=True`:" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ABCD_merge
00.00.0foo12009-01-01both
11.01.0foo22009-01-02both
22.00.0foo32009-01-05left_only
33.01.0foo42009-01-06left_only
44.00.0foo52009-01-07both
\n", + "
" + ], + "text/plain": [ + " A B C D _merge\n", + "0 0.0 0.0 foo1 2009-01-01 both\n", + "1 1.0 1.0 foo2 2009-01-02 both\n", + "2 2.0 0.0 foo3 2009-01-05 left_only\n", + "3 3.0 1.0 foo4 2009-01-06 left_only\n", + "4 4.0 0.0 foo5 2009-01-07 both" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df3 = pd.merge(df1, df2, how='left', indicator=True)\n", + "df3" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This adds a column to the DataFrame which shows the source of each row.\n", + "\n", + "In order to locate the rows that were missing from \"df2\", we simply filter \"df3\" to show the rows that were only present in the left DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ABCD_merge
22.00.0foo32009-01-05left_only
33.01.0foo42009-01-06left_only
\n", + "
" + ], + "text/plain": [ + " A B C D _merge\n", + "2 2.0 0.0 foo3 2009-01-05 left_only\n", + "3 3.0 1.0 foo4 2009-01-06 left_only" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df3[df3._merge == 'left_only']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we can see that rows 2 and 3 were the missing rows." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 17. Use query to avoid intermediate variables" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's take another look at the stocks DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateCloseVolumeSymbol
02016-10-0331.5014070500CSCO
12016-10-03112.5221701800AAPL
22016-10-0357.4219189500MSFT
32016-10-04113.0029736800AAPL
42016-10-0457.2420085900MSFT
52016-10-0431.3518460400CSCO
62016-10-0557.6416726400MSFT
72016-10-0531.5911808600CSCO
82016-10-05113.0521453100AAPL
\n", + "
" + ], + "text/plain": [ + " Date Close Volume Symbol\n", + "0 2016-10-03 31.50 14070500 CSCO\n", + "1 2016-10-03 112.52 21701800 AAPL\n", + "2 2016-10-03 57.42 19189500 MSFT\n", + "3 2016-10-04 113.00 29736800 AAPL\n", + "4 2016-10-04 57.24 20085900 MSFT\n", + "5 2016-10-04 31.35 18460400 CSCO\n", + "6 2016-10-05 57.64 16726400 MSFT\n", + "7 2016-10-05 31.59 11808600 CSCO\n", + "8 2016-10-05 113.05 21453100 AAPL" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you wanted to filter the DataFrame to only show rows in which the Symbol is \"AAPL\", this is the usual approach:" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateCloseVolumeSymbol
12016-10-03112.5221701800AAPL
32016-10-04113.0029736800AAPL
82016-10-05113.0521453100AAPL
\n", + "
" + ], + "text/plain": [ + " Date Close Volume Symbol\n", + "1 2016-10-03 112.52 21701800 AAPL\n", + "3 2016-10-04 113.00 29736800 AAPL\n", + "8 2016-10-05 113.05 21453100 AAPL" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks[stocks.Symbol == 'AAPL']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "However, this can also be done using the `query()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateCloseVolumeSymbol
12016-10-03112.5221701800AAPL
32016-10-04113.0029736800AAPL
82016-10-05113.0521453100AAPL
\n", + "
" + ], + "text/plain": [ + " Date Close Volume Symbol\n", + "1 2016-10-03 112.52 21701800 AAPL\n", + "3 2016-10-04 113.00 29736800 AAPL\n", + "8 2016-10-05 113.05 21453100 AAPL" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.query(\"Symbol == 'AAPL'\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are three things worth noting about the `query()` method:\n", + "\n", + "1. You don't have to repeat the name of the DataFrame within the query string.\n", + "2. The entire condition is expressed as a string, thus you lose any syntax highlighting.\n", + "3. Since there is a string within the condition, you have to use single quotes with the inner string and double quotes with the outer string.\n", + "\n", + "Let's look at another example that shows the real usefulness of `query()`. First let's group by \"Symbol\" and then take the mean of all numeric columns:" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CloseVolume
Symbol
AAPL112.8566672.429723e+07
CSCO31.4800001.477983e+07
MSFT57.4333331.866727e+07
\n", + "
" + ], + "text/plain": [ + " Close Volume\n", + "Symbol \n", + "AAPL 112.856667 2.429723e+07\n", + "CSCO 31.480000 1.477983e+07\n", + "MSFT 57.433333 1.866727e+07" + ] + }, + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.groupby('Symbol').mean()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What if I wanted to filter this DataFrame to only show rows in which \"Close\" is less than 100? The usual approach would be to create a temporary DataFrame and then filter that:" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CloseVolume
Symbol
CSCO31.4800001.477983e+07
MSFT57.4333331.866727e+07
\n", + "
" + ], + "text/plain": [ + " Close Volume\n", + "Symbol \n", + "CSCO 31.480000 1.477983e+07\n", + "MSFT 57.433333 1.866727e+07" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "temp = stocks.groupby('Symbol').mean()\n", + "temp[temp.Close < 100]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "But `query()` works even better in this situation, since you can avoid creating an intermediate object:" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CloseVolume
Symbol
CSCO31.4800001.477983e+07
MSFT57.4333331.866727e+07
\n", + "
" + ], + "text/plain": [ + " Close Volume\n", + "Symbol \n", + "CSCO 31.480000 1.477983e+07\n", + "MSFT 57.433333 1.866727e+07" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.groupby('Symbol').mean().query('Close < 100')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In fact, `query()` is a great solution to our previous trick, because it would have allowed us to filter the merged DataFrame without creating the \"df3\" object:" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ABCD_merge
22.00.0foo32009-01-05left_only
33.01.0foo42009-01-06left_only
\n", + "
" + ], + "text/plain": [ + " A B C D _merge\n", + "2 2.0 0.0 foo3 2009-01-05 left_only\n", + "3 3.0 1.0 foo4 2009-01-06 left_only" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.merge(df1, df2, how='left', indicator=True).query(\"_merge == 'left_only'\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 18. Reshape a DataFrame from wide format to long format" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's create another example DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
zipfactorywarehouseretail
012345100200300
134567400500600
267890700800900
\n", + "
" + ], + "text/plain": [ + " zip factory warehouse retail\n", + "0 12345 100 200 300\n", + "1 34567 400 500 600\n", + "2 67890 700 800 900" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "distances = pd.DataFrame([['12345', 100, 200, 300], ['34567', 400, 500, 600], ['67890', 700, 800, 900]],\n", + " columns=['zip', 'factory', 'warehouse', 'retail'])\n", + "distances" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's pretend that a manufacturing company has three locations: a factory, a warehouse, and a retail store. They've created the DataFrame above, which shows the distance between every US zip code and that particular location.\n", + "\n", + "Let's create one more DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
user_idziplocation_type
0112345factory
1234567warehouse
\n", + "
" + ], + "text/plain": [ + " user_id zip location_type\n", + "0 1 12345 factory\n", + "1 2 34567 warehouse" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "users = pd.DataFrame([[1, '12345', 'factory'], [2, '34567', 'warehouse']],\n", + " columns=['user_id', 'zip', 'location_type'])\n", + "users" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is a DataFrame of users. It shows the user's zip code and the location they would like to visit. We want to add a fourth column to \"users\", which shows the distance between that user and the location they want to visit. This information is available in the \"distances\" DataFrame, but how do we get it into the \"users\" DataFrame?\n", + "\n", + "We actually need to merge the DataFrames, but the problem is that the \"distances\" DataFrame doesn't have the right columns for merging. The solution is to reshape it using the `melt()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ziplocation_typedistance
012345factory100
134567factory400
267890factory700
312345warehouse200
434567warehouse500
567890warehouse800
612345retail300
734567retail600
867890retail900
\n", + "
" + ], + "text/plain": [ + " zip location_type distance\n", + "0 12345 factory 100\n", + "1 34567 factory 400\n", + "2 67890 factory 700\n", + "3 12345 warehouse 200\n", + "4 34567 warehouse 500\n", + "5 67890 warehouse 800\n", + "6 12345 retail 300\n", + "7 34567 retail 600\n", + "8 67890 retail 900" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "distances_long = distances.melt(id_vars='zip', var_name='location_type', value_name='distance')\n", + "distances_long" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We've reshaped the \"distances\" DataFrame from \"wide format\", meaning lots of columns, to \"long format\", meaning lots of rows. It contains the same data as before, but it's now structured such that it can easily be merged with the \"users\" DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
user_idziplocation_typedistance
0112345factory100
1234567warehouse500
\n", + "
" + ], + "text/plain": [ + " user_id zip location_type distance\n", + "0 1 12345 factory 100\n", + "1 2 34567 warehouse 500" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.merge(users, distances_long)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you're ever confused about \"wide\" versus \"long\" data, the easiest way to recognize a \"wide format\" DataFrame is that it doesn't tell you what you're looking at. For example, it doesn't tell me what these numbers represent, and it doesn't tell me what these column names represent. In contrast, the \"long format\" DataFrame tells you that the numbers represent distance and these names represent location types." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 19. Reverse row order (alternative)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You might remember the drinks DataFrame from the main video:" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa " + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drinks.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is the method that I taught in the main video for reversing row order, because it will always work:" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
192Zimbabwe641844.7Africa
191Zambia321942.5Africa
190Yemen6000.1Asia
189Vietnam111212.0Asia
188Venezuela33310037.7South America
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "192 Zimbabwe 64 18 4 \n", + "191 Zambia 32 19 4 \n", + "190 Yemen 6 0 0 \n", + "189 Vietnam 111 2 1 \n", + "188 Venezuela 333 100 3 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "192 4.7 Africa \n", + "191 2.5 Africa \n", + "190 0.1 Asia \n", + "189 2.0 Asia \n", + "188 7.7 South America " + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drinks.loc[::-1].head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Alternatively, you can use Python's built-in `reversed()` function to reverse the index, and then use that to reindex the DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
192Zimbabwe641844.7Africa
191Zambia321942.5Africa
190Yemen6000.1Asia
189Vietnam111212.0Asia
188Venezuela33310037.7South America
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "192 Zimbabwe 64 18 4 \n", + "191 Zambia 32 19 4 \n", + "190 Yemen 6 0 0 \n", + "189 Vietnam 111 2 1 \n", + "188 Venezuela 333 100 3 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "192 4.7 Africa \n", + "191 2.5 Africa \n", + "190 0.1 Asia \n", + "189 2.0 Asia \n", + "188 7.7 South America " + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drinks.reindex(reversed(drinks.index)).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you decide to use this alternative method, be aware that it will fail if the DataFrame has duplicate values in the index. To demonstrate this, let's give the stocks DataFrame a non-unique index:" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CloseVolumeSymbol
Date
2016-10-0331.5014070500CSCO
2016-10-03112.5221701800AAPL
2016-10-0357.4219189500MSFT
2016-10-04113.0029736800AAPL
2016-10-0457.2420085900MSFT
2016-10-0431.3518460400CSCO
2016-10-0557.6416726400MSFT
2016-10-0531.5911808600CSCO
2016-10-05113.0521453100AAPL
\n", + "
" + ], + "text/plain": [ + " Close Volume Symbol\n", + "Date \n", + "2016-10-03 31.50 14070500 CSCO\n", + "2016-10-03 112.52 21701800 AAPL\n", + "2016-10-03 57.42 19189500 MSFT\n", + "2016-10-04 113.00 29736800 AAPL\n", + "2016-10-04 57.24 20085900 MSFT\n", + "2016-10-04 31.35 18460400 CSCO\n", + "2016-10-05 57.64 16726400 MSFT\n", + "2016-10-05 31.59 11808600 CSCO\n", + "2016-10-05 113.05 21453100 AAPL" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks = stocks.set_index('Date')\n", + "stocks" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Since the index above is not unique, this will result in an error:" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [ + "# stocks.reindex(reversed(stocks.index))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 20. Reverse column order (alternative)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is the method that I taught in the main video for reversing column order, because it will always work:" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
continenttotal_litres_of_pure_alcoholwine_servingsspirit_servingsbeer_servingscountry
0Asia0.0000Afghanistan
1Europe4.95413289Albania
2Africa0.714025Algeria
3Europe12.4312138245Andorra
4Africa5.94557217Angola
\n", + "
" + ], + "text/plain": [ + " continent total_litres_of_pure_alcohol wine_servings spirit_servings \\\n", + "0 Asia 0.0 0 0 \n", + "1 Europe 4.9 54 132 \n", + "2 Africa 0.7 14 0 \n", + "3 Europe 12.4 312 138 \n", + "4 Africa 5.9 45 57 \n", + "\n", + " beer_servings country \n", + "0 0 Afghanistan \n", + "1 89 Albania \n", + "2 25 Algeria \n", + "3 245 Andorra \n", + "4 217 Angola " + ] + }, + "execution_count": 84, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drinks.loc[:, ::-1].head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Alternatively, you can use Python's built-in `reversed()` function to reverse the columns attribute, and then pass that as a filter to the DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
continenttotal_litres_of_pure_alcoholwine_servingsspirit_servingsbeer_servingscountry
0Asia0.0000Afghanistan
1Europe4.95413289Albania
2Africa0.714025Algeria
3Europe12.4312138245Andorra
4Africa5.94557217Angola
\n", + "
" + ], + "text/plain": [ + " continent total_litres_of_pure_alcohol wine_servings spirit_servings \\\n", + "0 Asia 0.0 0 0 \n", + "1 Europe 4.9 54 132 \n", + "2 Africa 0.7 14 0 \n", + "3 Europe 12.4 312 138 \n", + "4 Africa 5.9 45 57 \n", + "\n", + " beer_servings country \n", + "0 0 Afghanistan \n", + "1 89 Albania \n", + "2 25 Algeria \n", + "3 245 Andorra \n", + "4 217 Angola " + ] + }, + "execution_count": 85, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drinks[reversed(drinks.columns)].head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you decide to use this alternative method, be aware that it will fail if the DataFrame has duplicate column names. To demonstrate this, let's rename two of the columns in the stocks DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CloseXYZXYZ
Date
2016-10-0331.5014070500CSCO
2016-10-03112.5221701800AAPL
2016-10-0357.4219189500MSFT
2016-10-04113.0029736800AAPL
2016-10-0457.2420085900MSFT
2016-10-0431.3518460400CSCO
2016-10-0557.6416726400MSFT
2016-10-0531.5911808600CSCO
2016-10-05113.0521453100AAPL
\n", + "
" + ], + "text/plain": [ + " Close XYZ XYZ\n", + "Date \n", + "2016-10-03 31.50 14070500 CSCO\n", + "2016-10-03 112.52 21701800 AAPL\n", + "2016-10-03 57.42 19189500 MSFT\n", + "2016-10-04 113.00 29736800 AAPL\n", + "2016-10-04 57.24 20085900 MSFT\n", + "2016-10-04 31.35 18460400 CSCO\n", + "2016-10-05 57.64 16726400 MSFT\n", + "2016-10-05 31.59 11808600 CSCO\n", + "2016-10-05 113.05 21453100 AAPL" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks = stocks.rename({'Symbol':'XYZ', 'Volume':'XYZ'}, axis='columns')\n", + "stocks" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Since the column names are not unique, you will get multiple copies of those columns:" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
XYZXYZXYZXYZClose
Date
2016-10-0314070500CSCO14070500CSCO31.50
2016-10-0321701800AAPL21701800AAPL112.52
2016-10-0319189500MSFT19189500MSFT57.42
2016-10-0429736800AAPL29736800AAPL113.00
2016-10-0420085900MSFT20085900MSFT57.24
2016-10-0418460400CSCO18460400CSCO31.35
2016-10-0516726400MSFT16726400MSFT57.64
2016-10-0511808600CSCO11808600CSCO31.59
2016-10-0521453100AAPL21453100AAPL113.05
\n", + "
" + ], + "text/plain": [ + " XYZ XYZ XYZ XYZ Close\n", + "Date \n", + "2016-10-03 14070500 CSCO 14070500 CSCO 31.50\n", + "2016-10-03 21701800 AAPL 21701800 AAPL 112.52\n", + "2016-10-03 19189500 MSFT 19189500 MSFT 57.42\n", + "2016-10-04 29736800 AAPL 29736800 AAPL 113.00\n", + "2016-10-04 20085900 MSFT 20085900 MSFT 57.24\n", + "2016-10-04 18460400 CSCO 18460400 CSCO 31.35\n", + "2016-10-05 16726400 MSFT 16726400 MSFT 57.64\n", + "2016-10-05 11808600 CSCO 11808600 CSCO 31.59\n", + "2016-10-05 21453100 AAPL 21453100 AAPL 113.05" + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks[reversed(stocks.columns)]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 21. Split a string into multiple columns (alternative)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here's an example DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
namelocation
0John Arthur DoeLos Angeles, CA
1Jane Ann SmithWashington, DC
\n", + "
" + ], + "text/plain": [ + " name location\n", + "0 John Arthur Doe Los Angeles, CA\n", + "1 Jane Ann Smith Washington, DC" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.DataFrame({'name':['John Arthur Doe', 'Jane Ann Smith'], 'location':['Los Angeles, CA', 'Washington, DC']})\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is the method that I taught in the main video for splitting the \"name\" string into multiple columns:" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
namelocationfirstmiddlelast
0John Arthur DoeLos Angeles, CAJohnArthurDoe
1Jane Ann SmithWashington, DCJaneAnnSmith
\n", + "
" + ], + "text/plain": [ + " name location first middle last\n", + "0 John Arthur Doe Los Angeles, CA John Arthur Doe\n", + "1 Jane Ann Smith Washington, DC Jane Ann Smith" + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[['first', 'middle', 'last']] = df.name.str.split(' ', expand=True)\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here is an alternative method that also works:" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
namelocationfirstmiddlelast
0John Arthur DoeLos Angeles, CAJohnArthurDoe
1Jane Ann SmithWashington, DCJaneAnnSmith
\n", + "
" + ], + "text/plain": [ + " name location first middle last\n", + "0 John Arthur Doe Los Angeles, CA John Arthur Doe\n", + "1 Jane Ann Smith Washington, DC Jane Ann Smith" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['first'], df['middle'], df['last'] = zip(*df.name.str.split(' '))\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here's how the alternative method works. First, `str.split()` splits on a space character and returns a Series of two lists:" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 [John, Arthur, Doe]\n", + "1 [Jane, Ann, Smith]\n", + "Name: name, dtype: object" + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.name.str.split(' ')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then, you unpack the Series using the asterisk, and zip the lists back together using the `zip()` function:" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('John', 'Jane'), ('Arthur', 'Ann'), ('Doe', 'Smith')]" + ] + }, + "execution_count": 92, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list(zip(*df.name.str.split(' ')))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The first, middle, and last names are now paired together as tuples. These tuples become three new DataFrame columns through multiple assignment:" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
namelocationfirstmiddlelast
0John Arthur DoeLos Angeles, CAJohnArthurDoe
1Jane Ann SmithWashington, DCJaneAnnSmith
\n", + "
" + ], + "text/plain": [ + " name location first middle last\n", + "0 John Arthur Doe Los Angeles, CA John Arthur Doe\n", + "1 Jane Ann Smith Washington, DC Jane Ann Smith" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['first'], df['middle'], df['last'] = zip(*df.name.str.split(' '))\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Want more tricks? Watch [My top 25 pandas tricks](https://www.youtube.com/watch?v=RlIiVeig3hc&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=35) or [Read the notebook](https://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/top_25_pandas_tricks.ipynb)\n", + "\n", + "© 2022 [Data School](https://www.dataschool.io). All rights reserved." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/README.md b/appkits/qpyapp/src/qpynotes/topics/pandas/README.md new file mode 100644 index 0000000..197e2d4 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/README.md @@ -0,0 +1,70 @@ +# Python pandas video series + +The series is also available as a [free online course](https://courses.dataschool.io/pandas-in-30-days) that includes updated content, exercises, and a certificate of completion. + +## 📺 Videos ([playlist](https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y)) + +1. [What is pandas? (Introduction to the Q&A series)](https://www.youtube.com/watch?v=yzIMircGU5I&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=1) (6:24) +2. [How do I read a tabular data file into pandas?](https://www.youtube.com/watch?v=5_QXMwezPJE&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=2) (8:54) +3. [How do I select a pandas Series from a DataFrame?](https://www.youtube.com/watch?v=zxqjeyKP2Tk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=3) (11:10) +4. [Why do some pandas commands end with parentheses (and others don't)?](https://www.youtube.com/watch?v=hSrDViyKWVk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=4) (8:45) +5. [How do I rename columns in a pandas DataFrame?](https://www.youtube.com/watch?v=0uBirYFhizE&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=5) (9:36) +6. [How do I remove columns from a pandas DataFrame?](https://www.youtube.com/watch?v=gnUKkS964WQ&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=6) (6:35) +7. [How do I sort a pandas DataFrame or a Series?](https://www.youtube.com/watch?v=zY4doF6xSxY&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=7) (8:56) +8. [How do I filter rows of a pandas DataFrame by column value?](https://www.youtube.com/watch?v=2AFGPdNn4FM&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=8) (13:44) +9. [How do I apply multiple filter criteria to a pandas DataFrame?](https://www.youtube.com/watch?v=YPItfQ87qjM&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=9) (9:51) +10. [Your pandas questions answered!](https://www.youtube.com/watch?v=B-r9VuK80dk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=10) (9:06) +11. [How do I use the "axis" parameter in pandas?](https://www.youtube.com/watch?v=PtO3t6ynH-8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=11) (8:33) +12. [How do I use string methods in pandas?](https://www.youtube.com/watch?v=bofaC0IckHo&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=12) (6:16) +13. [How do I change the data type of a pandas Series?](https://www.youtube.com/watch?v=V0AWyzVMf54&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=13) (7:28) +14. [When should I use a "groupby" in pandas?](https://www.youtube.com/watch?v=qy0fDqoMJx8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=14) (8:24) +15. [How do I explore a pandas Series?](https://www.youtube.com/watch?v=QTVTq8SPzxM&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=15) (9:50) +16. [How do I handle missing values in pandas?](https://www.youtube.com/watch?v=fCMrO_VzeL8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=16) (14:27) +17. [What do I need to know about the pandas index? (Part 1)](https://www.youtube.com/watch?v=OYZNk7Z9s6I&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=17) (13:36) +18. [What do I need to know about the pandas index? (Part 2)](https://www.youtube.com/watch?v=15q-is8P_H4&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=18) (10:38) +19. [How do I select multiple rows and columns from a pandas DataFrame?](https://www.youtube.com/watch?v=xvpNA7bC8cs&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=19) (21:46) +20. [When should I use the "inplace" parameter in pandas?](https://www.youtube.com/watch?v=XaCSdr7pPmY&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=20) (10:18) +21. [How do I make my pandas DataFrame smaller and faster?](https://www.youtube.com/watch?v=wDYDYGyN_cw&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=21) (19:05) +22. [How do I use pandas with scikit-learn to create Kaggle submissions?](https://www.youtube.com/watch?v=ylRlGCtAtiE&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=22) (13:25) +23. [More of your pandas questions answered!](https://www.youtube.com/watch?v=oH3wYKvwpJ8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=23) (19:23) +24. [How do I create dummy variables in pandas?](https://www.youtube.com/watch?v=0s_1IsROgDc&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=24) (13:13) +25. [How do I work with dates and times in pandas?](https://www.youtube.com/watch?v=yCgJGsg0Xa4&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=25) (10:20) +26. [How do I find and remove duplicate rows in pandas?](https://www.youtube.com/watch?v=ht5buXUMqkQ&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=26) (9:47) +27. [How do I avoid a SettingWithCopyWarning in pandas?](https://www.youtube.com/watch?v=4R4WsDJ-KVc&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=27) (13:29) +28. [How do I change display options in pandas?](https://www.youtube.com/watch?v=yiO43TQ4xvc&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=28) (14:55) +29. [How do I create a pandas DataFrame from another object?](https://www.youtube.com/watch?v=-Ov1N1_FbP8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=29) (14:25) +30. [How do I apply a function to a pandas Series or DataFrame?](https://www.youtube.com/watch?v=P_q0tkYqvSk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=30) (17:57) +31. **Bonus:** [How do I use the MultiIndex in pandas?](https://www.youtube.com/watch?v=tcRGa2soc-c&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=31) (25:00) +32. **Bonus:** [How do I merge DataFrames in pandas?](https://www.youtube.com/watch?v=iYWKfUOtGaw&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=32) (21:48) +33. **Bonus:** [4 new time-saving tricks in pandas](https://www.youtube.com/watch?v=-NbY7E9hKxk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=33) (14:50) +34. **Bonus:** [5 new changes in pandas you need to know about](https://www.youtube.com/watch?v=te5JrSCW-LY&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=34) (20:54) +35. **Bonus:** [My top 25 pandas tricks](https://www.youtube.com/watch?v=RlIiVeig3hc&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=35) (27:37) +36. **Bonus:** [21 more pandas tricks](https://www.youtube.com/watch?v=tWFQqaRtSQA&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=36) (24:39) +37. **Bonus:** [Data Science Best Practices with pandas (PyCon 2019)](https://www.youtube.com/watch?v=dPwLlJkSHLo&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=37) (1:44:16) +38. **Bonus:** [Your pandas questions answered! (webcast)](https://www.youtube.com/watch?v=CWRKgBtZN18&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=38) (1:56:01) + +## 📓 Jupyter Notebooks + +- [Python pandas Q&A series](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas.ipynb) (videos 1 to 30) +- [How do I use the MultiIndex in pandas?](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas_multiindex.ipynb) (video 31) +- [How do I merge DataFrames in pandas?](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas_merge.ipynb) (video 32) +- [4 new time-saving tricks in pandas](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas_tricks.ipynb) (video 33) +- [5 new changes in pandas you need to know about](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas_changes.ipynb) (video 34) +- [My top 25 pandas tricks](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/top_25_pandas_tricks.ipynb) (video 35) +- [21 more pandas tricks](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/21_more_pandas_tricks.ipynb) (video 36) +- [Data Science Best Practices with pandas (PyCon 2019)](https://nbviewer.jupyter.org/github/justmarkham/pycon-2019-tutorial/blob/master/tutorial.ipynb) (video 37) + +## 📊 Datasets + +Filename | Description | Raw File | Original Source | Other +--- | --- | --- | --- | --- +[chipotle.tsv](data/chipotle.tsv) | Online orders from the Chipotle restaurant chain | [bit.ly/chiporders](http://bit.ly/chiporders) | [The Upshot](https://github.com/TheUpshot/chipotle) | [Upshot article](http://www.nytimes.com/interactive/2015/02/17/upshot/what-do-people-actually-order-at-chipotle.html) +[drinks.csv](data/drinks.csv) | Alcohol consumption by country | [bit.ly/drinksbycountry](http://bit.ly/drinksbycountry) | [FiveThirtyEight](https://github.com/fivethirtyeight/data/tree/master/alcohol-consumption) | [FiveThirtyEight article](http://fivethirtyeight.com/datalab/dear-mona-followup-where-do-people-drink-the-most-beer-wine-and-spirits/) +[imdb_1000.csv](data/imdb_1000.csv) | Top rated movies from IMDb | [bit.ly/imdbratings](http://bit.ly/imdbratings) | [IMDb](http://www.imdb.com/search/title?groups=top_1000&sort=user_rating&view=simple) | [Web scraping script](https://github.com/justmarkham/DAT5/blob/master/code/08_web_scraping.py) +[stocks.csv](data/stocks.csv) | Small dataset of stock prices | [bit.ly/smallstocks](http://bit.ly/smallstocks) | [DataCamp](https://www.datacamp.com/courses/manipulating-dataframes-with-pandas?tap_a=5644-dce66f&tap_s=280411-a25fc8) | +[titanic_test.csv](data/titanic_test.csv) | Testing set from Kaggle's Titanic competition | [bit.ly/kaggletest](http://bit.ly/kaggletest) | [Kaggle](https://www.kaggle.com/c/titanic) | [Data dictionary](https://www.kaggle.com/c/titanic/data) +[titanic_train.csv](data/titanic_train.csv) | Training set from Kaggle's Titanic competition | [bit.ly/kaggletrain](http://bit.ly/kaggletrain) | [Kaggle](https://www.kaggle.com/c/titanic) | [Data dictionary](https://www.kaggle.com/c/titanic/data) +[u.data](data/u.data) | Movie ratings by MovieLens users | [bit.ly/movielensdata](http://bit.ly/movielensdata) | [GroupLens](http://grouplens.org/datasets/movielens/100k/) | [Data dictionary](http://files.grouplens.org/datasets/movielens/ml-100k-README.txt) +[u.item](data/u.item) | Movie information from MovieLens | [bit.ly/movieitems](http://bit.ly/movieitems) | [GroupLens](http://grouplens.org/datasets/movielens/100k/) | [Data dictionary](http://files.grouplens.org/datasets/movielens/ml-100k-README.txt) +[u.user](data/u.user) | Demographic information about MovieLens users | [bit.ly/movieusers](http://bit.ly/movieusers) | [GroupLens](http://grouplens.org/datasets/movielens/100k/) | [Data dictionary](http://files.grouplens.org/datasets/movielens/ml-100k-README.txt) +[ufo.csv](data/ufo.csv) | Reports of UFO sightings from 1930-2000 | [bit.ly/uforeports](http://bit.ly/uforeports) | [National UFO Reporting Center](http://www.nuforc.org/webreports.html) | [Web scraping script](https://github.com/josiahdavis/josiahdavis.github.io/blob/master/supporting%20material/get_ufo_data.py) diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/basic.ipynb b/appkits/qpyapp/src/qpynotes/topics/pandas/basic.ipynb new file mode 100644 index 0000000..bfac365 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/basic.ipynb @@ -0,0 +1,582 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "# Pandas\n", + "\n", + "当然!学习 Pandas 的 30 分钟教程有很多,以下列举一些不错的选择:\n", + "\n", + "**1. 官方教程:**\n", + "\n", + "* **Pandas 官方 10 分钟入门教程:** [1](https://pandas.pydata.org/docs/user_guide/10min.html) 这个教程非常简洁,涵盖了 Pandas 的基本数据结构、数据读取、基本操作、索引和选择、分组和聚合等核心功能。\n", + "* **Pandas 官方教程:** [2](https://pandas.pydata.org/docs/getting_started/tutorials.html) Pandas 官方网站提供了一系列教程,其中包含了更深入的 Pandas 功能介绍,例如数据清洗、数据可视化、时间序列操作等等。\n", + "\n", + "**2. 第三方教程:**\n", + "\n", + "* **DataCamp Pandas 教程:** [3](https://www.datacamp.com/tutorial/pandas) DataCamp 提供了 Pandas 的入门教程,涵盖了数据结构、数据操作、数据分析、数据可视化等方面的基础知识。\n", + "* **W3Schools Pandas 教程:** [4](https://www.w3schools.com/python/pandas/default.asp) W3Schools 提供了 Pandas 的基础教程,包含了数据结构、数据操作、数据分析等方面的介绍。\n", + "\n", + "**3. YouTube 视频教程:**\n", + "\n", + "* **Sentdex Pandas 教程:** YouTube 上有很多 Pandas 教程,其中 Sentdex 的教程内容清晰,讲解细致,很适合入门学习。 [5](https://www.youtube.com/watch?v=ZyhVh-q0YwQ)\n", + "\n", + "选择教程时,建议根据自己的学习习惯和时间安排来决定,并根据自己的需求选择合适的教程。建议先学习官方 10 分钟入门教程,再根据自己的需求选择其他教程进行深入学习。\n", + "\n", + "## What Pandas todo\n", + "\n", + "- What kind of data does pandas handle?\n", + "- How do I read and write tabular data?\n", + "- How do I select a subset of a table?\n", + "- How to create plots in pandas?\n", + "- How to create new columns derived from existing columns?\n", + "- How to calculate summary statistics?\n", + "- How to reshape the layout of tables?\n", + "- How to combine data from multiple tables?\n", + "- How to handle time series data?\n", + "- How to manipulate textual data?\n" + ], + "id": "a8dce5d4bba25fa8" + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Pandas Quick start\n", + "\n", + "1. Basic data structure\n", + "- Series\n", + "- DataFrame\n", + "\n", + "> A DataFrame is a 2-dimensional data structure that can store data of different types (including characters, integers, floating point values, categorical data and more) in columns. It is similar to a spreadsheet, a SQL table or the data.frame in R." + ], + "id": "bc39196ce3e8e97" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "import pandas as pd \n", + "import numpy as np\n", + "# Series\n", + "s=pd.Series([1,1,3,5,8,13],index=['a','b','c','d','e','f']) \n", + "print(s)\n", + "\n", + "## Dataframe\n", + "dates = pd.date_range(\"20130101\", periods=6)\n", + "print(dates)\n", + "df = pd.DataFrame(np.random.randn(6, 4), index=dates, columns=list(\"ABCD\"))\n" + ], + "id": "c0f1e9fb3ccabf4", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Go through DataFrame\n", + "\n", + "- Data and Dataframe: 二维数据\n", + "![img](https://pandas.pydata.org/docs/_images/01_table_dataframe.svg)\n", + "- Tabular data\n", + "![img](https://pandas.pydata.org/docs/_images/02_io_readwrite.svg)\n", + "- subset of A table\n", + "![img](https://pandas.pydata.org/docs/_images/03_subset_columns_rows.svg)\n", + "- Create plots\n", + "![img](https://pandas.pydata.org/docs/_images/04_plot_overview.svg)" + ], + "id": "5682b2d52395e04f" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-07-05T07:53:04.283334Z", + "start_time": "2024-07-05T07:53:04.256915Z" + } + }, + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "print(\"go through dataframe\")\n", + "## DataFrame Col/Row\n", + "\n", + "df_cr= pd.DataFrame({\n", + " \"Name\":[\"Braund, Mr. Owen Harris\",\n", + " \"Allen, Mr. William Henry\",\n", + " \"Bonnell, Miss. Elizabeth\",],\n", + " \"Age\": [22, 35, 58],\n", + " \"Sex\": [\"male\", \"male\", \"female\"],\n", + "})\n", + "print(df_cr)\n", + "print(df_cr['Age'])\n", + "## Each column in a DataFrame is a Series\n", + "ages = pd.Series([22, 35, 58], name=\"Age\")\n", + "print(ages)\n", + "\n", + "## series features\n", + "print(df_cr['Age'].max())\n", + "print(df_cr['Age'].min())\n", + "print(df_cr['Age'].mean())\n", + "print(df_cr.describe())" + ], + "id": "2a479730433740f8", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "go through dataframe\n", + " Name Age Sex\n", + "0 Braund, Mr. Owen Harris 22 male\n", + "1 Allen, Mr. William Henry 35 male\n", + "2 Bonnell, Miss. Elizabeth 58 female\n", + "0 22\n", + "1 35\n", + "2 58\n", + "Name: Age, dtype: int64\n", + "0 22\n", + "1 35\n", + "2 58\n", + "Name: Age, dtype: int64\n", + "58\n", + "22\n", + "38.333333333333336\n", + " Age\n", + "count 3.000000\n", + "mean 38.333333\n", + "std 18.230012\n", + "min 22.000000\n", + "25% 28.500000\n", + "50% 35.000000\n", + "75% 46.500000\n", + "max 58.000000\n" + ] + } + ], + "execution_count": 17 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "## Read And Write Tablular Data", + "id": "29c528ea662c7d30" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-07-19T10:25:58.578596Z", + "start_time": "2024-07-19T10:25:58.508332Z" + } + }, + "cell_type": "code", + "source": [ + "import pandas as pd \n", + "\n", + "drinks = pd.read_csv('./data/drinks.csv')\n", + "print(drinks)\n", + "## access dataframe data\n", + "print(drinks.columns)\n", + "print(drinks.head(10))\n", + "print(drinks.tail(10))\n", + "print(drinks.describe())\n", + "print(drinks.dtypes)\n", + "\n", + "## read with sheet_name \n", + "users = pd.read_excel('user.xlsx',sheet_name=\"Sheet1\")\n", + "print(users)\n", + "print(users.info())\n", + "\n" + ], + "id": "56403160634e06c5", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + ".. ... ... ... ... \n", + "188 Venezuela 333 100 3 \n", + "189 Vietnam 111 2 1 \n", + "190 Yemen 6 0 0 \n", + "191 Zambia 32 19 4 \n", + "192 Zimbabwe 64 18 4 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa \n", + ".. ... ... \n", + "188 7.7 South America \n", + "189 2.0 Asia \n", + "190 0.1 Asia \n", + "191 2.5 Africa \n", + "192 4.7 Africa \n", + "\n", + "[193 rows x 6 columns]\n", + "Index(['country', 'beer_servings', 'spirit_servings', 'wine_servings',\n", + " 'total_litres_of_pure_alcohol', 'continent'],\n", + " dtype='object')\n", + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "5 Antigua & Barbuda 102 128 45 \n", + "6 Argentina 193 25 221 \n", + "7 Armenia 21 179 11 \n", + "8 Australia 261 72 212 \n", + "9 Austria 279 75 191 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa \n", + "5 4.9 North America \n", + "6 8.3 South America \n", + "7 3.8 Europe \n", + "8 10.4 Oceania \n", + "9 9.7 Europe \n", + " country beer_servings spirit_servings wine_servings \\\n", + "183 Tanzania 36 6 1 \n", + "184 USA 249 158 84 \n", + "185 Uruguay 115 35 220 \n", + "186 Uzbekistan 25 101 8 \n", + "187 Vanuatu 21 18 11 \n", + "188 Venezuela 333 100 3 \n", + "189 Vietnam 111 2 1 \n", + "190 Yemen 6 0 0 \n", + "191 Zambia 32 19 4 \n", + "192 Zimbabwe 64 18 4 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "183 5.7 Africa \n", + "184 8.7 North America \n", + "185 6.6 South America \n", + "186 2.4 Asia \n", + "187 0.9 Oceania \n", + "188 7.7 South America \n", + "189 2.0 Asia \n", + "190 0.1 Asia \n", + "191 2.5 Africa \n", + "192 4.7 Africa \n", + " beer_servings spirit_servings wine_servings \\\n", + "count 193.000000 193.000000 193.000000 \n", + "mean 106.160622 80.994819 49.450777 \n", + "std 101.143103 88.284312 79.697598 \n", + "min 0.000000 0.000000 0.000000 \n", + "25% 20.000000 4.000000 1.000000 \n", + "50% 76.000000 56.000000 8.000000 \n", + "75% 188.000000 128.000000 59.000000 \n", + "max 376.000000 438.000000 370.000000 \n", + "\n", + " total_litres_of_pure_alcohol \n", + "count 193.000000 \n", + "mean 4.717098 \n", + "std 3.773298 \n", + "min 0.000000 \n", + "25% 1.300000 \n", + "50% 4.200000 \n", + "75% 7.200000 \n", + "max 14.400000 \n", + "country object\n", + "beer_servings int64\n", + "spirit_servings int64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "continent object\n", + "dtype: object\n", + " Unnamed: 0 Name Age Sex\n", + "0 0 Braund, Mr. Owen Harris 22 male\n", + "1 1 Allen, Mr. William Henry 35 male\n", + "2 2 Bonnell, Miss. Elizabeth 58 female\n", + "\n", + "RangeIndex: 3 entries, 0 to 2\n", + "Data columns (total 4 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Unnamed: 0 3 non-null int64 \n", + " 1 Name 3 non-null object\n", + " 2 Age 3 non-null int64 \n", + " 3 Sex 3 non-null object\n", + "dtypes: int64(2), object(2)\n", + "memory usage: 228.0+ bytes\n", + "None\n" + ] + } + ], + "execution_count": 10 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "## Select subset of DataFrame\n", + "id": "8dec6d88de1258b0" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-07-19T10:33:15.437538Z", + "start_time": "2024-07-19T10:33:15.405943Z" + } + }, + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "\n", + "users = pd.read_excel('user.xlsx',sheet_name=\"Sheet1\")\n", + "print(users['Age'])\n", + "print(users['Age'].shape)\n", + "print(type(users['Age']))\n", + "users[[\"Age\", \"Sex\"]]\n", + "users[users['Age']>35]\n", + "users.loc[users['Age']>35,\"Name\"]\n", + "## I’m interested in rows 10 till 25 and columns 3 to 5.\n", + "users.iloc[0:1,1:2]" + ], + "id": "3fd5ca46ffc88aae", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 22\n", + "1 35\n", + "2 58\n", + "Name: Age, dtype: int64\n", + "(3,)\n", + "\n" + ] + }, + { + "data": { + "text/plain": [ + " Name\n", + "0 Braund, Mr. Owen Harris" + ], + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Name
0Braund, Mr. Owen Harris
\n", + "
" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 27 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "## create plot", + "id": "1d43a688435b650a" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-07-19T10:34:17.253111Z", + "start_time": "2024-07-19T10:34:15.924619Z" + } + }, + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "users = pd.read_excel('user.xlsx',sheet_name=\"Sheet1\")\n", + "users.plot()" + ], + "id": "1a4b05ca5da10bad", + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "
" + ], + "image/png": "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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 28 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Read Case for drinks\n", + "\n", + "\n", + "- Simple Chart to list all the country bar\n", + "- Chart for continent" + ], + "id": "5676e3d8680c2a60" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "drinks = pd.read_csv('./data/drinks.csv')\n", + "drinks.plot.bar(x='country',y = 'beer_servings', rot=90)\n", + "plt.xlabel('国家')\n", + "plt.ylabel('啤酒消费量')\n", + "plt.title('beer servings by country ')\n", + "plt.plot()\n", + "plt.show()" + ], + "id": "2db2b8eff5d6ede8", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "drinks = pd.read_csv('./data/drinks.csv')\n", + "\n", + "drinks_by_continent = drinks.groupby('continent')\n", + "for continent, group in drinks_by_continent: ## continent as topic for country\n", + " # 创建图形\n", + " plt.figure(figsize=(10, 6)) # 设置图形大小\n", + " group.plot(x=\"country\", y=\"total_litres_of_pure_alcohol\", kind=\"bar\", rot=90) # 创建条形图\n", + "\n", + " # 设置图形标题和轴标签\n", + " plt.title(f\"{continent} 的纯酒精总量\")\n", + " plt.xlabel(\"国家\")\n", + " plt.ylabel(\"纯酒精总量 (升)\")\n", + "\n", + " # 显示图形\n", + " plt.tight_layout() # 调整图形布局\n", + " plt.show()" + ], + "id": "cc6e2633ec9446f0", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "drinks = pd.read_csv('./data/drinks.csv')\n", + "\n", + "drinks_by_continent = drinks.groupby('continent')\n", + "\n", + "# 假设你的 DataFrame 叫做 df\n", + "grouped_data = drinks_by_continent[\"beer_servings\"].mean()\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "grouped_data.plot(kind=\"bar\", rot=0)\n", + "plt.title(\"bear servings\")\n", + "plt.xlabel(\"大陆\")\n", + "plt.ylabel(\"啤酒消费量 (升)\")\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n" + ], + "id": "465404f24c31d396", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "drinks = pd.read_csv('./data/drinks.csv')\n", + "drinks_by_continent = drinks.groupby('continent')\n", + "print(drinks_by_continent.describe())\n", + "# 假设你的 DataFrame 叫做 df\n", + "# grouped_data= drinks_by_continent[['beer_servings','spirit_servings']].sum()\n", + "group_data= drinks_by_continent.sum()\n", + "plt.title(\"all servings\")\n", + "plt.xlabel(\"大陆\")\n", + "plt.ylabel(\"消费量 (升)\") \n", + "group_data.plot(kind=\"bar\", stacked=True,rot=0)\n", + "group_data.plot(kind=\"bar\",rot=0)\n", + "plt.show()" + ], + "id": "845c769be7e36379", + "outputs": [], + "execution_count": null + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/basic_cheatsheet.ipynb b/appkits/qpyapp/src/qpynotes/topics/pandas/basic_cheatsheet.ipynb new file mode 100644 index 0000000..9306d53 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/basic_cheatsheet.ipynb @@ -0,0 +1,37 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": "", + "id": "3fe913c9c4fed950" + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "", + "id": "ebd80286ab68b088" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/chipotle.tsv b/appkits/qpyapp/src/qpynotes/topics/pandas/data/chipotle.tsv new file mode 100644 index 0000000..ddcb444 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/chipotle.tsv @@ -0,0 +1,4623 @@ +order_id quantity item_name choice_description item_price +1 1 Chips and Fresh Tomato Salsa NULL $2.39 +1 1 Izze [Clementine] $3.39 +1 1 Nantucket Nectar [Apple] $3.39 +1 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +2 2 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream]] $16.98 +3 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +3 1 Side of Chips NULL $1.69 +4 1 Steak Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +4 1 Steak Soft Tacos [Tomatillo Green Chili Salsa, [Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +5 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +5 1 Chips and Guacamole NULL $4.45 +6 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $8.75 +6 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +7 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole]] $11.25 +7 1 Chips and Guacamole NULL $4.45 +8 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +8 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Cheese, Sour Cream]] $8.49 +9 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +9 2 Canned Soda [Sprite] $2.18 +10 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +10 1 Chips and Guacamole NULL $4.45 +11 1 Barbacoa Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +11 1 Nantucket Nectar [Pomegranate Cherry] $3.39 +12 1 Chicken Burrito [[Tomatillo-Green Chili Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +12 1 Izze [Grapefruit] $3.39 +13 1 Chips and Fresh Tomato Salsa NULL $2.39 +13 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +14 1 Carnitas Burrito [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Sour Cream, Lettuce]] $8.99 +14 1 Canned Soda [Dr. Pepper] $1.09 +15 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +15 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +16 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Rice, Black Beans, Sour Cream]] $8.99 +16 1 Side of Chips NULL $1.69 +17 1 Carnitas Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +17 1 Bottled Water NULL $1.09 +18 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, Rice] $8.75 +18 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Cheese, Lettuce]] $8.75 +18 1 Chips and Guacamole NULL $4.45 +18 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +19 1 Barbacoa Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +19 1 Chips NULL $2.15 +20 1 Chips and Guacamole NULL $4.45 +20 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +20 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +20 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Pinto Beans, Lettuce]] $8.75 +21 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +21 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Fajita Veggies, Cheese]] $8.99 +21 1 Izze [Blackberry] $3.39 +22 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Sour Cream]] $8.99 +22 1 Chips and Guacamole NULL $3.99 +23 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +23 2 Canned Soda [Mountain Dew] $2.18 +24 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +24 1 Canned Soda [Sprite] $1.09 +25 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.99 +25 1 Chips and Fresh Tomato Salsa NULL $2.39 +26 1 Barbacoa Soft Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Lettuce]] $9.25 +26 1 Veggie Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +27 1 Barbacoa Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +27 1 Chips NULL $2.15 +28 1 Chips and Guacamole NULL $4.45 +28 1 Steak Soft Tacos [Fresh Tomato Salsa, Cheese] $9.25 +28 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +28 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +29 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +29 1 Steak Soft Tacos [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +30 1 Izze [Blackberry] $3.39 +30 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese]] $8.99 +30 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +31 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Sour Cream]] $8.99 +31 1 Side of Chips NULL $1.69 +32 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +32 1 Chips and Guacamole NULL $3.99 +33 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +33 1 Chips and Guacamole NULL $4.45 +34 1 Chicken Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +34 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Lettuce]] $8.75 +34 1 Chips NULL $2.15 +34 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +35 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Lettuce, Guacamole]] $11.25 +35 1 Chips NULL $2.15 +36 1 Barbacoa Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +36 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +37 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese]] $8.75 +37 1 Steak Soft Tacos [Tomatillo Red Chili Salsa] $9.25 +38 1 Veggie Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +38 1 Steak Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.99 +38 1 Bottled Water NULL $1.09 +39 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Sour Cream, Cheese]] $9.25 +39 1 Chips and Fresh Tomato Salsa NULL $2.95 +40 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +40 1 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Sour Cream, Guacamole]] $11.75 +40 1 Steak Crispy Tacos [Fresh Tomato Salsa, Sour Cream] $9.25 +41 1 Carnitas Burrito [Roasted Chili Corn Salsa, [Sour Cream, Guacamole]] $11.75 +41 1 Chips and Guacamole NULL $4.45 +42 1 Barbacoa Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream]] $9.25 +42 1 Chips and Guacamole NULL $4.45 +43 1 Carnitas Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +43 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $8.75 +44 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Sour Cream, Lettuce]] $8.75 +44 1 Chips and Guacamole NULL $4.45 +45 1 Steak Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +45 1 Steak Bowl [Tomatillo-Green Chili Salsa (Medium), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +45 1 Chips and Guacamole NULL $3.99 +46 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Sour Cream, Lettuce]] $8.49 +46 1 Nantucket Nectar [Pineapple Orange Banana] $3.39 +47 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Fajita Veggies, Sour Cream]] $8.99 +47 1 Canned Soda [Dr. Pepper] $1.09 +48 1 Steak Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $9.25 +48 1 Chips and Guacamole NULL $4.45 +49 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +49 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +49 1 Chips and Guacamole NULL $4.45 +50 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +50 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +51 1 Barbacoa Bowl [[Tomatillo-Red Chili Salsa (Hot), Tomatillo-Green Chili Salsa (Medium)], [Rice, Pinto Beans, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +51 1 Chicken Burrito [[Tomatillo-Red Chili Salsa (Hot), Tomatillo-Green Chili Salsa (Medium)], [Rice, Pinto Beans, Cheese, Lettuce]] $8.49 +51 1 Canned Soda [Diet Dr. Pepper] $1.09 +52 1 Steak Soft Tacos [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Cheese, Sour Cream, Lettuce]] $8.99 +52 1 Chips and Guacamole NULL $3.99 +53 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +53 1 Barbacoa Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $9.25 +53 1 Chips and Guacamole NULL $4.45 +54 1 Chicken Bowl [Fresh Tomato Salsa, [Guacamole, Cheese, Sour Cream, Fajita Vegetables, Rice]] $11.25 +54 1 Chips and Guacamole NULL $4.45 +55 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Fajita Veggies, Sour Cream]] $8.99 +55 1 Canned Soda [Coca Cola] $1.09 +56 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $9.25 +56 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +56 1 Chips and Guacamole NULL $4.45 +57 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.75 +57 1 Chips and Guacamole NULL $4.45 +58 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +58 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +59 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Sour Cream, Guacamole]] $10.98 +60 2 Chicken Salad Bowl [Tomatillo Green Chili Salsa, [Sour Cream, Cheese, Guacamole]] $22.50 +61 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +61 1 Chips and Guacamole NULL $4.45 +62 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Guacamole]] $11.25 +62 1 Chips and Guacamole NULL $4.45 +63 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Sour Cream, Cheese, Guacamole]] $11.25 +63 1 Chips and Guacamole NULL $4.45 +64 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +64 1 Veggie Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +65 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Sour Cream, Cheese, Guacamole]] $11.75 +65 1 Carnitas Bowl [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese]] $9.25 +65 1 Chips and Guacamole NULL $4.45 +66 1 Steak Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Black Beans, Sour Cream, Guacamole]] $11.48 +67 2 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream, Lettuce]] $17.98 +67 1 Side of Chips NULL $1.69 +68 2 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $17.50 +68 1 Chips and Guacamole NULL $4.45 +69 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +69 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +70 2 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Lettuce]] $17.50 +70 1 Chips and Guacamole NULL $4.45 +71 1 Chips and Guacamole NULL $4.45 +71 1 Veggie Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +71 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Cheese, Guacamole, Lettuce]] $11.75 +72 1 Chicken Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +73 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +73 1 Chicken Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Cheese, Guacamole, Lettuce]] $10.98 +73 2 Canned Soda [Diet Coke] $2.18 +74 1 Carnitas Bowl [Roasted Chili Corn Salsa (Medium), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +74 1 Veggie Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +74 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +75 1 Chips and Guacamole NULL $4.45 +75 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +75 1 Barbacoa Crispy Tacos [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +75 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream]] $8.75 +76 1 Chicken Burrito [[Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild)], [Rice, Black Beans, Cheese, Lettuce]] $8.49 +76 2 Canned Soda [Diet Dr. Pepper] $2.18 +77 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +77 1 Nantucket Nectar [Apple] $3.39 +78 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), Lettuce] $8.49 +78 1 Steak Soft Tacos [Roasted Chili Corn Salsa (Medium), Lettuce] $8.99 +79 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +80 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Rice, Black Beans, Sour Cream, Guacamole]] $11.48 +81 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +81 1 Canned Soda [Coca Cola] $1.09 +81 1 Canned Soda [Dr. Pepper] $1.09 +82 1 Barbacoa Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +82 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream]] $8.75 +82 1 Chips and Fresh Tomato Salsa NULL $2.95 +83 1 Steak Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream]] $9.25 +83 1 Chips and Guacamole NULL $4.45 +83 1 Veggie Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +84 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Guacamole, Lettuce]] $11.48 +84 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Cheese, Sour Cream, Lettuce]] $8.49 +84 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Cheese, Lettuce]] $8.49 +85 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Fajita Veggies, Cheese, Lettuce, Sour Cream, Rice]] $8.99 +85 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +86 1 Veggie Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +86 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +86 1 Chips and Fresh Tomato Salsa NULL $2.95 +87 1 Canned Soda [Coca Cola] $1.09 +87 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Sour Cream]] $8.99 +88 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +88 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +89 1 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Guacamole, Lettuce]] $10.98 +89 1 Canned Soda [Diet Coke] $1.09 +89 1 Chips and Guacamole NULL $3.99 +90 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +90 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Lettuce]] $8.75 +91 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +91 1 Nantucket Nectar [Peach Orange] $3.39 +92 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +92 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +92 1 Chips NULL $2.15 +93 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +93 1 Veggie Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +93 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +93 1 Chips and Guacamole NULL $4.45 +94 2 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Pinto Beans, Guacamole]] $22.50 +95 1 Chips and Guacamole NULL $4.45 +95 1 Steak Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +96 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +96 2 Chicken Crispy Tacos [Tomatillo Red Chili Salsa, [Cheese, Sour Cream, Lettuce]] $17.50 +96 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +97 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $9.25 +97 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +97 1 Chips NULL $2.15 +98 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $9.25 +98 2 Chips NULL $4.30 +98 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream, Lettuce]] $8.75 +99 1 Veggie Burrito [Tomatillo Red Chili Salsa, [Black Beans, Cheese, Guacamole]] $11.25 +99 1 Chips NULL $2.15 +100 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Sour Cream]] $8.99 +100 1 Canned Soda [Mountain Dew] $1.09 +101 1 Steak Burrito [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +101 1 Chips and Guacamole NULL $3.99 +102 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +102 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +102 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +103 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +103 2 Chips and Tomatillo Green Chili Salsa NULL $5.90 +103 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $9.25 +103 1 Carnitas Soft Tacos [Tomatillo Green Chili Salsa, [Fajita Vegetables, Pinto Beans, Cheese]] $9.25 +103 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +104 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Sour Cream, Cheese]] $9.25 +104 1 Chips and Fresh Tomato Salsa NULL $2.95 +105 2 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $17.50 +106 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $8.75 +106 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream]] $9.25 +107 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +108 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Lettuce]] $8.99 +108 1 Canned Soda [Mountain Dew] $1.09 +108 1 Canned Soda [Dr. Pepper] $1.09 +108 1 Canned Soda [Mountain Dew] $1.09 +108 1 Barbacoa Burrito [[Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium)], [Rice, Pinto Beans, Cheese]] $8.99 +109 1 Chicken Salad [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +109 1 Canned Soda [Diet Dr. Pepper] $1.09 +110 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $8.75 +110 1 Veggie Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $8.75 +110 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $9.25 +110 1 Barbacoa Crispy Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Lettuce]] $9.25 +111 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +111 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +112 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.99 +112 1 Steak Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.99 +113 1 Steak Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Sour Cream]] $8.99 +113 1 Canned Soda [Mountain Dew] $1.09 +114 1 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +114 1 Canned Soft Drink [Coke] $1.25 +115 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice]] $8.99 +115 1 Chips and Fresh Tomato Salsa NULL $2.39 +116 1 Steak Soft Tacos [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $9.25 +116 1 Chips and Fresh Tomato Salsa NULL $2.95 +117 1 Barbacoa Soft Tacos [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.99 +117 1 Chips and Guacamole NULL $3.99 +118 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +118 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +119 1 Chicken Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +119 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +120 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese]] $8.49 +120 1 Side of Chips NULL $1.69 +121 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream]] $8.49 +121 1 Chips and Guacamole NULL $3.99 +122 1 Steak Soft Tacos [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Lettuce]] $8.99 +122 1 Side of Chips NULL $1.69 +122 1 Canned Soda [Coca Cola] $1.09 +123 2 Steak Salad Bowl [Tomatillo Red Chili Salsa, [Black Beans, Cheese, Guacamole]] $23.78 +124 2 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $17.50 +124 1 Chips NULL $2.15 +124 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +125 1 Steak Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Lettuce]] $9.25 +125 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +125 1 Veggie Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +125 1 Chips and Guacamole NULL $4.45 +126 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +126 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole, Lettuce]] $11.25 +127 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Sour Cream, Guacamole, Lettuce]] $11.25 +127 1 Canned Soft Drink [Sprite] $1.25 +128 1 Steak Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream]] $9.25 +128 1 Chips and Guacamole NULL $4.45 +128 1 Veggie Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Lettuce, Guacamole, Sour Cream, Cheese, Black Beans, Rice]] $11.25 +129 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Cheese, Guacamole]] $11.75 +129 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Cheese, Guacamole]] $11.75 +129 1 6 Pack Soft Drink [Sprite] $6.49 +130 1 Steak Soft Tacos [Tomatillo-Red Chili Salsa (Hot), Lettuce] $8.99 +130 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +131 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +131 1 Chips and Fresh Tomato Salsa NULL $2.39 +132 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +132 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +132 1 Chips NULL $2.15 +133 1 Steak Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Sour Cream]] $8.99 +133 1 Side of Chips NULL $1.69 +134 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +134 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +134 1 Chips NULL $2.15 +135 1 Chips and Guacamole NULL $4.45 +135 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +136 1 Chicken Soft Tacos [Tomatillo-Red Chili Salsa (Hot), Fajita Veggies] $8.49 +136 1 Steak Burrito [Tomatillo-Green Chili Salsa (Medium), [Cheese, Lettuce]] $8.99 +137 2 Chicken Salad Bowl [Fresh Tomato Salsa, Fajita Vegetables] $17.50 +138 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese]] $8.49 +138 1 Canned Soda [Diet Coke] $1.09 +138 1 Bottled Water NULL $1.09 +139 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream]] $8.75 +139 1 Canned Soft Drink [Coke] $1.25 +139 1 Chips NULL $2.15 +140 1 Steak Burrito [Fresh Tomato (Mild), [Lettuce, Guacamole, Rice, Cheese]] $11.08 +141 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Pinto Beans, Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +141 1 Chicken Soft Tacos [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Rice, Fajita Veggies, Cheese, Lettuce]] $8.49 +142 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), Rice] $8.99 +142 1 Chips and Fresh Tomato Salsa NULL $2.39 +143 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese]] $8.75 +143 1 Chips NULL $2.15 +143 1 Bottled Water NULL $1.50 +144 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +144 1 Chips NULL $2.15 +145 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +145 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream]] $8.49 +146 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +146 1 Steak Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Lettuce]] $9.25 +147 1 Steak Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Cheese, Guacamole, Lettuce]] $11.75 +147 1 Canned Soft Drink [Coke] $1.25 +148 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +148 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Lettuce]] $8.75 +148 1 Chips and Guacamole NULL $4.45 +148 1 6 Pack Soft Drink [Diet Coke] $6.49 +149 1 Steak Soft Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $9.25 +149 1 Chips and Fresh Tomato Salsa NULL $2.95 +149 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Guacamole, Lettuce]] $11.25 +149 1 Chips and Guacamole NULL $4.45 +149 1 Canned Soft Drink [Lemonade] $1.25 +149 1 Canned Soft Drink [Sprite] $1.25 +150 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +150 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +150 2 Canned Soda [Diet Coke] $2.18 +151 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese]] $8.49 +151 2 Canned Soda [Coca Cola] $2.18 +152 2 Steak Burrito [Fresh Tomato (Mild), [Lettuce, Guacamole, Rice, Cheese]] $22.16 +153 2 Chicken Soft Tacos [Fresh Tomato Salsa, Sour Cream] $17.50 +154 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +154 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +154 1 6 Pack Soft Drink [Coke] $6.49 +155 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Cheese, Sour Cream]] $8.99 +155 1 Izze [Blackberry] $3.39 +155 1 Izze [Grapefruit] $3.39 +156 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Cheese, Sour Cream, Lettuce]] $8.99 +156 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.49 +157 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +157 1 Chips NULL $2.15 +158 1 Chicken Crispy Tacos [Tomatillo Green Chili Salsa, [Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +158 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +159 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +159 1 Canned Soft Drink [Diet Coke] $1.25 +160 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Cheese, Sour Cream, Lettuce]] $8.99 +160 1 Canned Soda [Diet Coke] $1.09 +161 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +161 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +162 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Sour Cream, Cheese]] $9.25 +162 1 Chips and Fresh Tomato Salsa NULL $2.95 +163 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Lettuce, Guacamole]] $11.75 +163 1 Bottled Water NULL $1.50 +164 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Sour Cream]] $8.99 +164 1 Canned Soda [Mountain Dew] $1.09 +165 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +165 1 Canned Soft Drink [Coke] $1.25 +165 1 Canned Soft Drink [Coke] $1.25 +166 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese, Guacamole]] $11.25 +166 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +166 1 Chips NULL $2.15 +167 1 Barbacoa Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +167 1 Side of Chips NULL $1.69 +168 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +168 1 6 Pack Soft Drink [Diet Coke] $6.49 +169 1 Chicken Burrito [Fresh Tomato Salsa, [Cheese, Sour Cream]] $8.75 +169 1 Steak Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream]] $9.25 +170 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +170 1 Chips and Guacamole NULL $4.45 +170 1 Canned Soft Drink [Coke] $1.25 +171 1 Veggie Burrito [Tomatillo Green Chili Salsa, Guacamole] $11.25 +171 1 Chips and Guacamole NULL $4.45 +172 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Pinto Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +172 1 Barbacoa Burrito [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +173 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese]] $8.49 +173 1 Carnitas Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Rice, Cheese, Lettuce]] $8.99 +174 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +174 1 Canned Soft Drink [Sprite] $1.25 +175 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +175 1 Canned Soft Drink [Coke] $1.25 +176 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.75 +176 1 Carnitas Soft Tacos [Fresh Tomato Salsa, [Cheese, Lettuce]] $9.25 +176 1 Chips and Guacamole NULL $4.45 +177 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +177 1 Chips NULL $2.15 +178 3 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Cheese, Guacamole, Lettuce]] $32.94 +179 1 Canned Soft Drink [Coke] $1.25 +179 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Sour Cream, Cheese, Guacamole]] $11.25 +180 1 Steak Bowl [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +180 1 Side of Chips NULL $1.69 +180 1 Canned Soda [Dr. Pepper] $1.09 +181 2 Chicken Bowl [Tomatillo Red Chili Salsa] $17.50 +182 1 Chips and Guacamole NULL $4.45 +182 1 6 Pack Soft Drink [Diet Coke] $6.49 +182 1 Barbacoa Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese]] $9.25 +183 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +183 1 Steak Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $9.25 +184 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +184 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Lettuce]] $8.75 +184 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +184 1 Chips NULL $2.15 +184 1 Chips and Fresh Tomato Salsa NULL $2.95 +185 2 Chicken Soft Tacos [Fresh Tomato Salsa, [Sour Cream, Lettuce]] $17.50 +186 1 Chicken Soft Tacos [[Tomatillo-Red Chili Salsa (Hot), Roasted Chili Corn Salsa (Medium)], [Guacamole, Cheese, Sour Cream]] $10.98 +186 1 Steak Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Rice, Cheese, Sour Cream, Guacamole]] $11.48 +186 1 Barbacoa Crispy Tacos [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Cheese, Sour Cream, Guacamole]] $11.48 +186 1 Izze [Grapefruit] $3.39 +187 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +187 1 Side of Chips NULL $1.69 +188 1 Carnitas Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +188 1 Canned Soda [Coca Cola] $1.09 +189 1 Veggie Burrito [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Rice, Black Beans, Pinto Beans, Fajita Veggies, Guacamole, Lettuce]] $10.98 +189 1 Nantucket Nectar [Pomegranate Cherry] $3.39 +190 1 Steak Crispy Tacos [[Roasted Chili Corn Salsa (Medium), Tomatillo-Green Chili Salsa (Medium)], [Rice, Black Beans, Cheese, Sour Cream]] $8.99 +190 1 Canned Soda [Dr. Pepper] $1.09 +191 1 Steak Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $9.25 +191 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +192 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +192 1 Chips and Guacamole NULL $4.45 +192 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +192 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese]] $9.25 +193 3 Bowl [Braised Carnitas, Pinto Beans, [Sour Cream, Cheese, Cilantro-Lime Rice]] $22.20 +194 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese]] $8.49 +194 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +195 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +195 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +195 1 Barbacoa Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +195 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream]] $8.75 +195 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +195 1 Carnitas Soft Tacos [Fresh Tomato Salsa, [Sour Cream, Lettuce]] $9.25 +195 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +195 1 Veggie Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +196 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +196 1 Chicken Burrito [Fresh Tomato Salsa, [Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +196 1 Chips and Fresh Tomato Salsa NULL $2.95 +196 1 Canned Soft Drink [Coke] $1.25 +197 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +197 1 Side of Chips NULL $1.69 +198 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +198 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +199 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese]] $8.75 +199 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +199 1 Chips and Guacamole NULL $4.45 +200 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +200 1 Chips and Guacamole NULL $3.99 +201 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Sour Cream, Cheese]] $8.49 +201 1 Chips and Guacamole NULL $3.99 +202 1 Barbacoa Bowl [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Cheese, Guacamole]] $11.48 +202 1 Side of Chips NULL $1.69 +202 1 Canned Soda [Diet Dr. Pepper] $1.09 +203 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Lettuce, Guacamole]] $11.25 +203 1 Bottled Water NULL $1.50 +204 1 Chicken Burrito [Fresh Tomato (Mild), [Guacamole, Lettuce, Rice, Fajita Veggies, Sour Cream, Cheese]] $10.58 +204 1 Side of Chips NULL $1.69 +205 1 Carnitas Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +205 1 Veggie Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +205 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese]] $8.75 +205 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +205 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +205 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +205 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese]] $8.75 +205 1 Barbacoa Crispy Tacos [Fresh Tomato Salsa, Guacamole] $11.75 +205 1 Chicken Burrito [Fresh Tomato Salsa, Cheese] $8.75 +205 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +205 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +205 1 Chips NULL $2.15 +206 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole]] $11.25 +206 1 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole]] $11.75 +206 2 Canned Soft Drink [Diet Coke] $2.50 +206 1 Chips and Guacamole NULL $4.45 +207 1 Steak Soft Tacos [Fresh Tomato Salsa, [Sour Cream, Cheese]] $9.25 +207 1 Chips and Guacamole NULL $4.45 +207 1 Veggie Salad Bowl [Fresh Tomato Salsa, [Rice, Lettuce, Guacamole, Fajita Vegetables, Cheese, Sour Cream, Black Beans]] $11.25 +208 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Cheese]] $8.49 +208 1 Chips and Guacamole NULL $3.99 +209 1 Steak Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Lettuce]] $9.25 +209 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $9.25 +210 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole]] $11.25 +210 1 Barbacoa Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +211 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Lettuce, Guacamole]] $11.75 +211 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Lettuce, Guacamole]] $11.25 +212 1 Canned Soft Drink [Lemonade] $1.25 +212 2 Carnitas Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $23.50 +212 1 Canned Soft Drink [Coke] $1.25 +213 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), Rice] $8.99 +213 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), Rice] $8.49 +214 1 Burrito [Adobo-Marinated and Grilled Chicken, Pinto Beans, [Sour Cream, Salsa, Cheese, Cilantro-Lime Rice, Guacamole]] $7.40 +214 1 Burrito [Braised Barbacoa, Vegetarian Black Beans, [Sour Cream, Salsa, Cheese, Cilantro-Lime Rice]] $7.40 +215 1 Veggie Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Lettuce]] $8.75 +215 1 Canned Soft Drink [Diet Coke] $1.25 +215 1 Chips and Guacamole NULL $4.45 +215 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +215 1 Chips NULL $2.15 +216 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +216 1 Chips and Guacamole NULL $4.45 +217 1 Burrito [Braised Barbacoa, Pinto Beans, [Sour Cream, Salsa, Cheese, Cilantro-Lime Rice, Guacamole]] $7.40 +217 1 Crispy Tacos [Adobo-Marinated and Grilled Steak] $7.40 +217 1 Crispy Tacos [Adobo-Marinated and Grilled Chicken] $7.40 +218 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Sour Cream]] $8.99 +218 1 Chips and Guacamole NULL $3.99 +219 1 Steak Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +219 1 Side of Chips NULL $1.69 +220 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +220 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese]] $8.75 +221 1 Chicken Salad Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Black Beans, Pinto Beans, Lettuce]] $8.75 +221 1 Chicken Salad Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +222 1 Veggie Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole]] $11.25 +222 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole]] $11.25 +222 1 Chips and Fresh Tomato Salsa NULL $2.95 +223 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +223 2 Steak Burrito [Fresh Tomato Salsa, [Sour Cream, Lettuce, Cheese, Rice]] $18.50 +224 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +224 1 Chips and Guacamole NULL $3.99 +225 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +225 1 Carnitas Bowl [Tomatillo Green Chili Salsa, [Pinto Beans, Black Beans]] $9.25 +225 1 Steak Burrito [Tomatillo Green Chili Salsa, Cheese] $9.25 +225 2 Bottled Water NULL $3.00 +225 1 Canned Soft Drink [Diet Coke] $1.25 +226 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +226 1 Barbacoa Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Pinto Beans, Sour Cream, Cheese, Lettuce]] $9.25 +226 1 Chips and Guacamole NULL $4.45 +227 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese]] $8.75 +227 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Lettuce, Guacamole]] $11.25 +227 1 Chips and Guacamole NULL $4.45 +228 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Black Beans, Fajita Veggies, Cheese, Guacamole, Lettuce]] $10.98 +229 2 Steak Burrito [Fresh Tomato (Mild), [Lettuce, Guacamole, Rice, Cheese]] $22.16 +230 1 Chips and Guacamole NULL $4.45 +230 1 Chicken Burrito [Tomatillo Red Chili Salsa] $8.75 +230 1 Steak Burrito [Tomatillo Green Chili Salsa] $9.25 +230 1 6 Pack Soft Drink [Diet Coke] $6.49 +230 1 Carnitas Crispy Tacos [Roasted Chili Corn Salsa] $9.25 +231 1 Veggie Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole]] $11.25 +231 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +231 1 Barbacoa Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +231 1 Chips NULL $2.15 +231 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +231 1 Chips and Guacamole NULL $4.45 +232 1 Barbacoa Burrito [Roasted Chili Corn Salsa] $9.25 +232 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +233 1 Steak Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $9.25 +233 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +233 1 Carnitas Soft Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Cheese]] $9.25 +233 1 Canned Soft Drink [Diet Coke] $1.25 +233 1 Canned Soft Drink [Diet Coke] $1.25 +234 1 Chicken Salad Bowl [Fresh Tomato Salsa, Fajita Vegetables] $8.75 +234 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Black Beans, Sour Cream, Cheese]] $8.75 +234 1 Steak Soft Tacos [Fresh Tomato Salsa, [Rice, Sour Cream, Cheese]] $9.25 +234 1 Chips and Guacamole NULL $4.45 +235 1 Steak Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Sour Cream, Lettuce, Guacamole]] $11.75 +235 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +235 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +236 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +236 1 Steak Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Lettuce]] $9.25 +237 2 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream, Lettuce]] $16.98 +237 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +237 1 Izze [Clementine] $3.39 +237 1 Izze [Grapefruit] $3.39 +238 1 Steak Crispy Tacos [Tomatillo Green Chili Salsa, [Fajita Vegetables, Cheese, Lettuce]] $9.25 +238 1 Steak Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +239 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +239 1 Chips NULL $2.15 +240 1 Chicken Salad Bowl [Fresh Tomato Salsa, Fajita Vegetables] $8.75 +240 1 Barbacoa Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese]] $9.25 +240 1 Chips and Guacamole NULL $4.45 +241 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Rice, Black Beans, Fajita Veggies, Cheese, Guacamole, Lettuce]] $10.98 +242 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +242 1 Carnitas Soft Tacos [Roasted Chili Corn Salsa] $9.25 +243 2 Chicken Salad Bowl [Tomatillo Green Chili Salsa, [Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $22.50 +244 1 Barbacoa Bowl [Roasted Chili Corn Salsa, [Rice, Cheese, Lettuce]] $9.25 +244 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +244 1 Bottled Water NULL $1.50 +245 1 Steak Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Rice, Cheese, Sour Cream, Guacamole]] $11.48 +246 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Lettuce]] $8.49 +246 1 Side of Chips NULL $1.69 +247 1 Chicken Crispy Tacos [Fresh Tomato Salsa (Mild), [Pinto Beans, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +247 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +247 1 Chicken Crispy Tacos [Fresh Tomato Salsa (Mild), [Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.49 +247 2 Nantucket Nectar [Pineapple Orange Banana] $6.78 +248 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Lettuce, Guacamole]] $11.75 +248 1 Chips and Guacamole NULL $4.45 +249 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Lettuce]] $8.75 +249 1 Chips and Guacamole NULL $4.45 +250 1 Steak Salad Bowl [Fresh Tomato Salsa, [Pinto Beans, Cheese, Guacamole, Lettuce]] $11.89 +250 1 Steak Salad Bowl [Fresh Tomato Salsa, Lettuce] $9.39 +251 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +251 1 Chips and Fresh Tomato Salsa NULL $2.95 +251 1 Canned Soft Drink [Nestea] $1.25 +252 1 Barbacoa Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +252 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream]] $8.75 +253 2 Steak Salad Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Cheese, Guacamole, Lettuce]] $23.78 +254 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Sour Cream, Lettuce]] $8.75 +254 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $9.25 +254 1 Chips NULL $2.15 +254 1 Chips NULL $2.15 +254 1 Canned Soft Drink [Diet Coke] $1.25 +255 1 Veggie Bowl [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +255 1 Chips and Guacamole NULL $3.99 +256 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +256 1 Canned Soda [Dr. Pepper] $1.09 +257 1 Veggie Burrito [Tomatillo Green Chili Salsa] $8.75 +257 1 Chips and Guacamole NULL $4.45 +258 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Cheese, Lettuce]] $8.75 +258 1 Carnitas Burrito [Tomatillo Green Chili Salsa, [Sour Cream, Cheese, Guacamole]] $11.75 +258 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +258 1 Chips and Guacamole NULL $4.45 +259 1 Steak Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $9.25 +259 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +260 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +260 1 Chips and Guacamole NULL $3.99 +261 2 Chicken Salad Bowl [Tomatillo Green Chili Salsa, [Black Beans, Cheese, Guacamole]] $22.50 +262 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Cheese, Guacamole]] $11.25 +262 1 Canned Soft Drink [Coke] $1.25 +263 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $8.75 +263 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +264 2 Steak Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $18.50 +264 1 6 Pack Soft Drink [Diet Coke] $6.49 +265 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +265 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Black Beans, Cheese, Sour Cream]] $8.75 +265 1 Chips and Guacamole NULL $4.45 +266 1 Veggie Bowl [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +266 1 Chips and Guacamole NULL $3.99 +267 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Sour Cream]] $8.99 +267 1 Canned Soda [Sprite] $1.09 +268 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.49 +268 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +269 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Sour Cream, Guacamole]] $11.48 +269 1 Side of Chips NULL $1.69 +270 2 Canned Soft Drink [Coke] $2.50 +270 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Sour Cream, Cheese]] $9.25 +270 1 Bottled Water NULL $1.50 +271 2 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Lettuce]] $17.50 +271 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +272 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Sour Cream, Lettuce]] $8.75 +272 1 Chips and Guacamole NULL $4.45 +273 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +273 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +274 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +274 1 Side of Chips NULL $1.69 +275 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +275 1 Chips and Guacamole NULL $3.99 +276 1 Steak Salad [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.99 +276 1 Steak Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +276 1 Chips and Guacamole NULL $3.99 +276 1 Carnitas Soft Tacos [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.99 +277 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +277 1 Chips and Guacamole NULL $4.45 +277 1 Canned Soft Drink [Lemonade] $1.25 +278 1 Chips and Guacamole NULL $3.99 +278 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +279 1 Bowl [Adobo-Marinated and Grilled Steak, [Sour Cream, Salsa, Cheese, Cilantro-Lime Rice, Guacamole]] $7.40 +279 1 Chips and Mild Fresh Tomato Salsa NULL $3.00 +279 1 Burrito [Adobo-Marinated and Grilled Chicken, [Sour Cream, Cheese, Cilantro-Lime Rice]] $7.40 +279 1 Chips and Guacamole NULL $4.00 +280 1 Veggie Bowl [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +280 1 Chips and Guacamole NULL $3.99 +281 1 Steak Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Lettuce]] $9.25 +281 1 Chips and Guacamole NULL $4.45 +282 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Guacamole, Cheese]] $11.25 +282 1 Canned Soft Drink [Coke] $1.25 +282 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Cheese, Guacamole]] $11.75 +282 1 Canned Soft Drink [Coke] $1.25 +283 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +283 1 Chips NULL $2.15 +284 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole]] $11.25 +284 1 Chips and Guacamole NULL $4.45 +284 3 Canned Soft Drink [Diet Coke] $3.75 +284 1 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +285 1 Carnitas Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +285 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +286 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Sour Cream, Cheese, Lettuce]] $8.75 +286 1 Chips and Guacamole NULL $4.45 +286 1 Canned Soft Drink [Diet Coke] $1.25 +287 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +287 1 Chicken Soft Tacos [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.49 +287 2 Canned Soda [Coca Cola] $2.18 +288 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Lettuce]] $8.49 +288 2 Canned Soda [Coca Cola] $2.18 +288 1 Bottled Water NULL $1.09 +289 1 Chicken Salad Bowl [Tomatillo Red Chili Salsa, [Black Beans, Cheese, Lettuce]] $8.75 +289 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +289 1 Canned Soft Drink [Lemonade] $1.25 +290 1 Bottled Water NULL $1.50 +290 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Sour Cream, Cheese, Guacamole]] $11.25 +291 1 Steak Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $9.25 +291 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +291 1 Canned Soft Drink [Lemonade] $1.25 +292 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +292 1 Chips and Guacamole NULL $3.99 +293 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +294 1 Chips and Guacamole NULL $3.99 +294 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +295 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +295 1 Canned Soft Drink [Diet Coke] $1.25 +296 1 Barbacoa Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +296 1 Side of Chips NULL $1.69 +297 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +297 1 Canned Soft Drink [Coke] $1.25 +298 1 6 Pack Soft Drink [Nestea] $6.49 +298 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +299 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +299 1 Chicken Burrito [Fresh Tomato Salsa] $8.75 +299 1 Chips and Fresh Tomato Salsa NULL $2.95 +300 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese]] $8.75 +300 1 Steak Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Black Beans, Sour Cream, Guacamole, Lettuce]] $11.75 +301 1 Steak Burrito [Roasted Chili Corn (Medium), [Sour Cream, Cheese]] $8.69 +301 1 Steak Crispy Tacos [Fresh Tomato (Mild), [Lettuce, Cheese]] $8.69 +301 1 Chips and Fresh Tomato Salsa NULL $2.29 +302 1 Chips and Guacamole NULL $3.99 +302 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +303 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese]] $8.75 +303 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +304 1 Canned Soft Drink [Sprite] $1.25 +304 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Cheese, Guacamole, Lettuce]] $11.75 +304 1 Veggie Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +304 1 Veggie Soft Tacos [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +305 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Guacamole, Cheese]] $11.25 +305 1 Canned Soft Drink [Coke] $1.25 +305 1 Steak Burrito [Roasted Chili Corn Salsa] $9.25 +306 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Guacamole]] $11.75 +306 1 6 Pack Soft Drink [Coke] $6.49 +307 1 Chips and Guacamole NULL $3.99 +307 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Cheese, Rice, Pinto Beans, Sour Cream]] $8.49 +308 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +308 1 Chips NULL $2.15 +309 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Sour Cream, Cheese, Guacamole]] $11.25 +309 1 Steak Salad Bowl [Roasted Chili Corn Salsa, [Rice, Cheese, Lettuce, Guacamole]] $11.89 +310 1 Barbacoa Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +310 1 Side of Chips NULL $1.69 +311 1 Steak Salad [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.99 +311 1 Steak Bowl [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Cheese, Fajita Veggies, Lettuce, Sour Cream, Rice, Black Beans]] $8.99 +311 1 Chips and Guacamole NULL $3.99 +311 1 Carnitas Soft Tacos [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Cheese, Lettuce, Black Beans]] $8.99 +312 1 Barbacoa Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +312 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +312 1 Chips NULL $2.15 +313 1 Burrito [White Rice, Adobo-Marinated and Grilled Steak, [Salsa, Cheese]] $7.40 +313 1 Burrito [White Rice, Adobo-Marinated and Grilled Steak, Pinto Beans, [Sour Cream, Salsa, Cheese, Cilantro-Lime Rice]] $7.40 +314 1 Veggie Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese]] $8.75 +314 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Lettuce]] $8.75 +315 1 Barbacoa Crispy Tacos [Fresh Tomato Salsa, [Sour Cream, Lettuce]] $9.25 +315 1 Chips and Guacamole NULL $4.45 +316 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +316 1 Canned Soft Drink [Sprite] $1.25 +317 1 Carnitas Burrito [Roasted Chili Corn Salsa, [Rice, Cheese, Guacamole]] $11.75 +317 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Guacamole]] $11.25 +317 1 Canned Soft Drink [Coke] $1.25 +318 1 Chips and Guacamole NULL $3.99 +318 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Cheese, Rice, Pinto Beans, Sour Cream]] $8.49 +319 1 Chicken Bowl [Tomatillo-Green Chili Salsa (Medium), Black Beans] $8.49 +319 1 Chicken Bowl [Tomatillo-Green Chili Salsa (Medium), Black Beans] $8.49 +319 1 Steak Crispy Tacos [Tomatillo-Green Chili Salsa (Medium), Pinto Beans] $8.99 +320 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +320 1 Chips NULL $2.15 +320 1 Canned Soft Drink [Sprite] $1.25 +321 1 Chicken Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +321 1 Canned Soda [Diet Coke] $1.09 +321 1 Bottled Water NULL $1.09 +322 1 Veggie Soft Tacos [Fresh Tomato Salsa, [Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +322 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +322 1 Canned Soft Drink [Nestea] $1.25 +323 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese]] $9.25 +323 1 Canned Soft Drink [Lemonade] $1.25 +323 1 Chips NULL $2.15 +324 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +324 1 Canned Soft Drink [Diet Coke] $1.25 +325 1 Chips and Guacamole NULL $4.45 +325 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +325 2 Canned Soft Drink [Coke] $2.50 +326 2 Chips and Guacamole NULL $8.90 +326 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +326 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $8.75 +326 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +327 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +327 1 Veggie Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Sour Cream, Guacamole, Lettuce]] $11.25 +328 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Rice, Sour Cream, Guacamole, Lettuce]] $10.98 +328 1 Chips and Guacamole NULL $3.99 +329 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +329 1 Chips and Guacamole NULL $3.99 +330 1 Side of Chips NULL $1.69 +330 1 Barbacoa Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +331 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese]] $9.25 +331 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese]] $8.75 +332 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Sour Cream, Lettuce]] $8.99 +332 1 Canned Soda [Mountain Dew] $1.09 +333 1 Steak Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Lettuce]] $9.25 +333 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +334 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +334 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +335 1 Chips and Guacamole NULL $3.99 +335 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Cheese, Rice, Pinto Beans, Sour Cream]] $8.49 +336 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +336 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +337 2 Chicken Salad Bowl [Tomatillo Green Chili Salsa, [Black Beans, Cheese, Guacamole]] $22.50 +338 1 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Rice, Black Beans, Fajita Veggies, Cheese, Sour Cream, Guacamole]] $10.98 +338 3 Bottled Water NULL $3.27 +338 1 Chips and Guacamole NULL $3.99 +338 1 Carnitas Soft Tacos [Fresh Tomato Salsa (Mild), [Rice, Pinto Beans, Cheese, Sour Cream]] $8.99 +338 1 Canned Soda [Coca Cola] $1.09 +339 1 Carnitas Bowl [Fresh Tomato (Mild), [Guacamole, Sour Cream, Cheese]] $11.08 +340 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +340 1 Chips and Guacamole NULL $4.45 +341 1 Steak Bowl [Fresh Tomato (Mild), [Guacamole, Lettuce, Pinto Beans, Rice, Sour Cream, Cheese]] $11.08 +342 1 Chips and Guacamole NULL $3.99 +342 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Cheese, Pinto Beans, Sour Cream, Rice]] $8.49 +343 2 Chips NULL $4.30 +343 1 Barbacoa Crispy Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Black Beans, Cheese]] $9.25 +343 1 Chicken Crispy Tacos [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +343 1 Veggie Bowl [Roasted Chili Corn Salsa, [Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +343 1 Veggie Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +343 1 Carnitas Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +344 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Sour Cream]] $8.49 +344 1 Carnitas Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Fajita Veggies, Sour Cream]] $8.99 +344 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Sour Cream]] $8.49 +345 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +345 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +345 1 Chips and Guacamole NULL $4.45 +346 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $9.25 +346 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +346 1 Steak Bowl [Tomatillo Green Chili Salsa] $9.25 +346 1 Veggie Bowl [Roasted Chili Corn Salsa, Fajita Vegetables] $8.75 +347 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Guacamole]] $11.25 +347 1 Chips and Guacamole NULL $4.45 +348 2 Veggie Bowl [Fresh Tomato Salsa (Mild), [Rice, Sour Cream, Cheese, Pinto Beans]] $16.98 +349 1 Veggie Burrito [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Cheese]] $8.49 +349 1 Chips and Fresh Tomato Salsa NULL $2.39 +350 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +350 3 Canned Soft Drink [Sprite] $3.75 +351 1 Carnitas Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Lettuce]] $9.25 +351 1 Chips and Guacamole NULL $4.45 +352 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream, Cheese]] $9.25 +352 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Cheese]] $9.25 +352 1 Chips and Guacamole NULL $4.45 +353 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Lettuce]] $8.75 +353 1 Barbacoa Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +354 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +354 1 Barbacoa Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $9.25 +355 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Lettuce]] $9.25 +355 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Fajita Vegetables, Black Beans, Cheese]] $9.25 +356 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Sour Cream, Guacamole, Lettuce]] $11.48 +356 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Sour Cream, Lettuce]] $8.99 +357 2 Chicken Salad Bowl [Fresh Tomato Salsa, [Black Beans, Cheese, Guacamole]] $22.50 +358 1 Carnitas Burrito [Roasted Chili Corn Salsa, [Cheese, Rice, Guacamole]] $11.75 +358 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Guacamole]] $11.25 +358 1 Canned Soft Drink [Coke] $1.25 +359 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream, Lettuce]] $8.75 +359 1 Chips NULL $2.15 +359 1 Canned Soft Drink [Diet Coke] $1.25 +360 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Sour Cream, Cheese, Guacamole]] $11.25 +360 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +360 1 Canned Soft Drink [Sprite] $1.25 +361 1 Veggie Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Guacamole]] $11.25 +361 1 Bottled Water NULL $1.50 +362 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +362 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Pinto Beans, Sour Cream, Guacamole]] $11.25 +363 1 Barbacoa Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream]] $9.25 +363 1 6 Pack Soft Drink [Coke] $6.49 +363 2 Chips and Guacamole NULL $8.90 +364 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +364 1 Chips and Guacamole NULL $4.45 +365 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Lettuce, Guacamole]] $11.25 +365 1 Canned Soft Drink [Diet Coke] $1.25 +366 2 Chicken Crispy Tacos [Tomatillo Red Chili Salsa] $17.50 +366 1 Steak Burrito [Tomatillo Red Chili Salsa] $9.25 +367 1 Veggie Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +367 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +367 2 Bottled Water NULL $3.00 +368 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +368 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +369 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Sour Cream, Guacamole]] $10.98 +369 1 Steak Salad [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +369 1 Chips and Guacamole NULL $3.99 +370 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +370 1 Chips and Guacamole NULL $4.45 +371 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Sour Cream]] $8.99 +371 1 Side of Chips NULL $1.69 +372 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +372 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +373 1 Veggie Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +373 1 Chips and Guacamole NULL $4.45 +374 1 Barbacoa Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Guacamole, Lettuce]] $11.75 +374 1 Canned Soft Drink [Coke] $1.25 +375 1 Steak Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole]] $11.75 +375 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +376 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +376 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +376 2 Canned Soda [Mountain Dew] $2.18 +377 2 Steak Bowl [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese]] $17.98 +377 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese]] $8.99 +378 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +378 1 Side of Chips NULL $1.69 +379 1 Steak Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +379 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +379 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +379 3 Canned Soft Drink [Lemonade] $3.75 +379 1 Steak Crispy Tacos [Roasted Chili Corn Salsa, [Cheese, Sour Cream, Lettuce]] $9.25 +380 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +380 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +380 1 Chips NULL $2.15 +380 1 Bottled Water NULL $1.50 +381 1 Chicken Soft Tacos [Tomatillo-Red Chili Salsa (Hot), Cheese] $8.49 +381 1 Chicken Soft Tacos [Tomatillo-Red Chili Salsa (Hot), Cheese] $8.49 +381 1 Nantucket Nectar [Pomegranate Cherry] $3.39 +382 1 Steak Bowl [Fresh Tomato (Mild), [Lettuce, Black Beans, Rice, Cheese]] $8.69 +382 1 Chips and Guacamole NULL $3.89 +383 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +383 1 Chips and Guacamole NULL $4.45 +384 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +384 1 Veggie Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Guacamole, Lettuce]] $11.25 +384 1 Chips NULL $2.15 +384 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +385 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +385 1 Side of Chips NULL $1.69 +386 1 Veggie Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Black Beans, Rice, Fajita Veggies, Cheese]] $8.49 +386 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +387 1 Canned Soft Drink [Lemonade] $1.25 +387 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Lettuce]] $8.75 +387 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Cheese, Lettuce, Guacamole]] $11.75 +387 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Sour Cream, Lettuce, Guacamole]] $11.75 +388 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +388 1 Bottled Water NULL $1.09 +389 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream]] $8.75 +389 1 Chips and Guacamole NULL $4.45 +389 1 Chicken Crispy Tacos [Fresh Tomato Salsa, Lettuce] $8.75 +389 1 Chips and Fresh Tomato Salsa NULL $2.95 +389 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $8.75 +389 1 Chips NULL $2.15 +390 1 Chips and Guacamole NULL $3.99 +390 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Lettuce]] $8.49 +391 1 Steak Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +391 1 Chips and Guacamole NULL $3.99 +392 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese]] $8.49 +392 1 Side of Chips NULL $1.69 +392 1 Canned Soda [Coca Cola] $1.09 +393 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +393 1 Canned Soda [Sprite] $1.09 +394 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese]] $9.25 +394 1 Veggie Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Lettuce]] $8.75 +395 1 Steak Soft Tacos [Tomatillo-Red Chili Salsa (Hot), [Cheese, Sour Cream, Lettuce]] $8.99 +395 1 Chips and Fresh Tomato Salsa NULL $2.39 +396 1 Canned Soft Drink [Diet Coke] $1.25 +396 1 Canned Soft Drink [Coke] $1.25 +396 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Sour Cream, Cheese, Guacamole]] $11.25 +396 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Sour Cream, Cheese, Guacamole]] $11.25 +397 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +397 1 Steak Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream]] $9.25 +398 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +398 1 Bottled Water NULL $1.50 +399 1 Chips and Guacamole NULL $3.99 +399 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Rice, Pinto Beans, Cheese, Sour Cream]] $8.49 +400 1 Veggie Burrito [Tomatillo Green Chili Salsa, [Rice, Fajita Vegetables, Pinto Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +400 1 Carnitas Burrito [Tomatillo Red Chili Salsa] $9.25 +400 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +401 2 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Lettuce]] $17.50 +402 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +402 2 Chips and Guacamole NULL $8.90 +402 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +402 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +403 1 Barbacoa Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream]] $8.99 +403 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +404 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +404 1 Carnitas Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +404 1 Chips NULL $2.15 +405 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Pinto Beans, Cheese, Guacamole]] $11.25 +405 1 Canned Soft Drink [Diet Coke] $1.25 +406 1 Barbacoa Soft Tacos [Tomatillo Red Chili Salsa, [Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +406 1 Canned Soft Drink [Diet Coke] $1.25 +407 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Sour Cream, Cheese, Guacamole]] $11.25 +407 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Sour Cream, Cheese, Guacamole]] $11.75 +408 1 Canned Soft Drink [Coke] $1.25 +408 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Sour Cream, Cheese, Guacamole]] $11.25 +408 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Pinto Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +409 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream]] $8.49 +409 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Sour Cream, Guacamole]] $10.98 +410 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans]] $8.75 +410 1 Canned Soft Drink [Diet Coke] $1.25 +410 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Black Beans, Lettuce]] $8.75 +411 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Cheese]] $8.49 +411 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +412 1 Bottled Water NULL $1.50 +412 1 Bottled Water NULL $1.50 +412 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Sour Cream, Cheese, Lettuce]] $8.75 +412 1 Chips and Guacamole NULL $4.45 +413 1 Chicken Crispy Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +413 1 Canned Soft Drink [Coke] $1.25 +413 1 Carnitas Crispy Tacos [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +414 1 Chicken Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +414 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +415 1 Steak Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +415 1 Chips and Guacamole NULL $4.45 +416 1 Steak Burrito [Tomatillo Red Chili Salsa] $9.25 +416 1 Chicken Bowl [Fresh Tomato Salsa] $8.75 +417 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream]] $8.99 +417 1 Side of Chips NULL $1.69 +418 2 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Black Beans]] $17.50 +419 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +419 1 Barbacoa Crispy Tacos [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Cheese, Sour Cream, Lettuce]] $8.99 +419 1 Steak Crispy Tacos [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.99 +420 1 Chicken Burrito [Fresh Tomato Salsa, [Black Beans, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +420 1 Chips and Guacamole NULL $4.45 +421 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +421 1 Chips and Guacamole NULL $4.45 +422 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $9.25 +422 1 6 Pack Soft Drink [Sprite] $6.49 +423 1 Chicken Crispy Tacos [Fresh Tomato Salsa (Mild), [Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +423 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Lettuce]] $8.49 +424 1 Chicken Burrito [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Cheese]] $8.49 +424 1 Canned Soda [Diet Dr. Pepper] $1.09 +424 1 Side of Chips NULL $1.69 +425 1 Barbacoa Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream]] $9.25 +425 1 Chips and Guacamole NULL $4.45 +426 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +426 1 Canned Soft Drink [Coke] $1.25 +426 1 Chips and Fresh Tomato Salsa NULL $2.95 +427 1 Chips and Guacamole NULL $3.99 +427 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Sour Cream, Cheese]] $8.49 +428 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Lettuce, Guacamole]] $11.75 +428 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans, Guacamole]] $11.75 +428 1 Chips NULL $2.15 +429 1 Steak Bowl [Roasted Chili Corn Salsa (Medium), [Pinto Beans, Rice, Guacamole]] $11.48 +430 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +430 1 Chips NULL $2.15 +430 1 Canned Soft Drink [Diet Coke] $1.25 +431 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +431 1 Chips NULL $2.15 +431 1 Canned Soft Drink [Sprite] $1.25 +432 1 Chicken Burrito [Fresh Tomato Salsa, Rice] $8.75 +432 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese]] $8.75 +432 1 6 Pack Soft Drink [Coke] $6.49 +433 1 Side of Chips NULL $1.69 +433 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +434 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Sour Cream, Lettuce]] $8.75 +434 1 Barbacoa Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Guacamole]] $11.75 +435 1 Chicken Burrito [[Tomatillo-Green Chili Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream, Guacamole]] $10.98 +435 1 Canned Soda [Mountain Dew] $1.09 +436 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream]] $8.49 +436 1 Izze [Clementine] $3.39 +437 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +437 1 Chips NULL $2.15 +437 1 Canned Soft Drink [Diet Coke] $1.25 +438 1 Carnitas Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Guacamole]] $11.48 +438 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +439 1 Chicken Salad [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +439 1 Chicken Bowl [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +440 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +440 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $9.25 +440 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $9.25 +441 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +441 1 Chips and Guacamole NULL $4.45 +442 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Green Chili Salsa (Medium)], [Rice, Black Beans, Sour Cream, Guacamole]] $11.48 +443 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +443 1 Veggie Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +443 1 Chips and Guacamole NULL $4.45 +444 1 Side of Chips NULL $1.69 +444 1 Steak Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +445 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Lettuce]] $8.75 +445 1 Chips and Guacamole NULL $4.45 +445 1 Bottled Water NULL $1.50 +446 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Guacamole]] $11.75 +446 1 Chips NULL $2.15 +447 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Sour Cream]] $8.99 +447 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +448 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Lettuce]] $8.75 +448 1 Chips and Fresh Tomato Salsa NULL $2.95 +448 1 Canned Soft Drink [Coke] $1.25 +449 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables]] $8.75 +449 1 Chips NULL $2.15 +449 1 Canned Soft Drink [Diet Coke] $1.25 +450 2 Canned Soda [Dr. Pepper] $2.18 +450 2 Canned Soda [Coca Cola] $2.18 +450 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Guacamole]] $11.48 +451 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Cheese, Lettuce]] $8.75 +451 1 Chips and Fresh Tomato Salsa NULL $2.95 +451 1 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Guacamole]] $11.75 +452 1 Carnitas Burrito [Fresh Tomato Salsa, [Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +452 1 Canned Soft Drink [Diet Coke] $1.25 +453 1 Chicken Burrito [Fresh Tomato (Mild), [Guacamole, Lettuce, Rice, Fajita Veggies, Cheese]] $10.58 +454 1 Barbacoa Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream]] $8.99 +454 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +455 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +455 1 Chips and Guacamole NULL $4.45 +456 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +456 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +457 2 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Lettuce]] $17.50 +457 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Sour Cream, Lettuce]] $8.75 +458 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +458 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Lettuce]] $8.75 +459 2 Chicken Salad Bowl [Fresh Tomato Salsa, [Black Beans, Cheese, Guacamole]] $22.50 +460 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +460 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +460 1 Chips and Guacamole NULL $4.45 +461 1 Steak Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Guacamole, Lettuce]] $11.75 +461 1 Canned Soft Drink [Diet Coke] $1.25 +462 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +462 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +462 1 Chips and Fresh Tomato Salsa NULL $2.95 +463 1 Barbacoa Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +463 1 Side of Chips NULL $1.69 +464 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +464 1 Chips and Guacamole NULL $4.45 +465 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +465 1 6 Pack Soft Drink [Coke] $6.49 +466 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $8.75 +466 1 Chips and Guacamole NULL $4.45 +466 1 Carnitas Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +467 1 Chips and Guacamole NULL $4.45 +467 1 Barbacoa Soft Tacos [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +467 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +468 1 Chips and Guacamole NULL $4.45 +468 1 Carnitas Salad Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole]] $11.89 +468 1 Steak Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +469 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +469 1 Chips and Fresh Tomato Salsa NULL $2.95 +469 1 Bottled Water NULL $1.50 +470 1 Chips and Guacamole NULL $4.45 +470 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Lettuce]] $8.75 +471 1 Steak Burrito [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +471 1 Bottled Water NULL $1.09 +471 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +471 1 Canned Soda [Dr. Pepper] $1.09 +471 1 Chips and Guacamole NULL $3.99 +472 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Fajita Veggies, Cheese, Guacamole]] $11.48 +472 1 Veggie Burrito [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +473 1 Steak Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $9.25 +473 1 Chips and Guacamole NULL $4.45 +474 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Fajita Veggies, Cheese, Guacamole, Lettuce]] $11.48 +475 1 Barbacoa Soft Tacos [Tomatillo Green Chili Salsa, [Sour Cream, Cheese, Lettuce]] $9.25 +475 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +475 1 Barbacoa Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese]] $9.25 +476 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +476 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +477 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream]] $8.99 +477 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Lettuce]] $8.49 +478 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Cheese, Lettuce]] $8.75 +478 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +478 1 Chips and Guacamole NULL $4.45 +478 1 Steak Salad Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $11.89 +479 1 Chicken Burrito [Fresh Tomato (Mild), [Guacamole, Rice, Fajita Veggies, Sour Cream, Cheese]] $10.58 +479 1 Chicken Burrito [Fresh Tomato (Mild), [Lettuce, Rice, Fajita Veggies, Sour Cream, Cheese]] $8.19 +479 1 Side of Chips NULL $1.69 +480 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +480 1 Chips NULL $2.15 +480 1 Canned Soft Drink [Diet Coke] $1.25 +481 2 Chicken Burrito [Fresh Tomato Salsa, Rice] $17.50 +481 1 6 Pack Soft Drink [Coke] $6.49 +481 1 Steak Crispy Tacos [Tomatillo Red Chili Salsa, Rice] $9.25 +481 1 Chips NULL $2.15 +482 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $8.75 +482 1 Chips and Guacamole NULL $4.45 +482 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +482 1 Canned Soft Drink [Coke] $1.25 +483 1 Barbacoa Bowl [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Cheese, Guacamole]] $11.48 +483 1 Barbacoa Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +484 1 Steak Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream]] $8.99 +484 2 Bottled Water NULL $2.18 +485 1 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Fajita Veggies]] $8.49 +485 1 Barbacoa Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Fajita Veggies]] $8.99 +485 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +485 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +485 2 Bottled Water NULL $2.18 +486 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese]] $8.75 +486 1 Chips and Guacamole NULL $4.45 +487 1 Chicken Burrito [Fresh Tomato Salsa, [Lettuce, Guacamole, Rice, Cheese, Fajita Vegetables, Sour Cream]] $11.25 +487 1 Carnitas Soft Tacos [Roasted Chili Corn Salsa] $9.25 +488 1 Barbacoa Burrito [Fresh Tomato Salsa, [Rice, Cheese]] $9.25 +488 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +488 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +488 1 Chips and Guacamole NULL $4.45 +488 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +488 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +489 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +489 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Pinto Beans, Cheese, Sour Cream]] $8.49 +490 1 Carnitas Crispy Tacos [Tomatillo-Green Chili Salsa (Medium), [Fajita Veggies, Cheese, Lettuce]] $8.99 +490 1 Side of Chips NULL $1.69 +491 1 Carnitas Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream]] $9.25 +491 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Guacamole]] $11.25 +491 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +491 1 Carnitas Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream]] $9.25 +491 1 Chicken Burrito [Fresh Tomato Salsa, [Cheese, Sour Cream, Lettuce]] $8.75 +491 1 Barbacoa Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Guacamole, Lettuce]] $11.75 +491 1 Chicken Burrito [Fresh Tomato Salsa, [Cheese, Sour Cream, Lettuce]] $8.75 +491 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +491 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +491 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole]] $11.25 +492 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream, Guacamole]] $10.98 +493 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +493 1 Chips and Guacamole NULL $4.45 +494 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Cheese, Sour Cream, Guacamole]] $10.98 +494 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Cheese, Sour Cream]] $8.49 +495 1 Carnitas Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +495 1 Izze [Clementine] $3.39 +496 1 Chips and Guacamole NULL $3.99 +496 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Cheese, Lettuce]] $8.99 +496 1 Canned Soda [Diet Coke] $1.09 +496 1 Canned Soda [Diet Dr. Pepper] $1.09 +496 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +497 2 Chicken Burrito [Tomatillo Red Chili Salsa, [Cheese, Rice, Black Beans]] $17.50 +497 1 Chips and Guacamole NULL $4.45 +498 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Guacamole]] $11.25 +498 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Cheese, Guacamole, Lettuce]] $11.25 +498 1 Chips and Guacamole NULL $4.45 +499 1 Steak Bowl [Fresh Tomato Salsa, [Black Beans, Cheese, Sour Cream]] $9.25 +499 1 Chips and Guacamole NULL $4.45 +500 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +500 1 Chips NULL $2.15 +500 1 Canned Soft Drink [Diet Coke] $1.25 +501 1 Barbacoa Salad Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Pinto Beans, Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.89 +501 1 Chips and Fresh Tomato Salsa NULL $2.95 +502 1 Steak Burrito [Roasted Chili Corn Salsa, [Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +502 1 Canned Soft Drink [Diet Coke] $1.25 +503 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +503 1 Chips and Guacamole NULL $4.45 +504 1 Barbacoa Bowl [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Cheese, Guacamole]] $11.48 +504 1 Barbacoa Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +505 1 Chips and Fresh Tomato Salsa NULL $2.95 +505 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +506 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Lettuce]] $8.75 +506 1 Barbacoa Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +506 1 Chips and Fresh Tomato Salsa NULL $2.95 +507 1 Veggie Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +507 1 Canned Soft Drink [Lemonade] $1.25 +507 1 Carnitas Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.75 +507 1 Canned Soft Drink [Lemonade] $1.25 +508 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Rice, Cheese]] $8.99 +508 1 Chips and Fresh Tomato Salsa NULL $2.39 +509 1 Canned Soft Drink [Diet Coke] $1.25 +509 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Sour Cream, Cheese, Guacamole]] $11.25 +509 1 Canned Soft Drink [Coke] $1.25 +509 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Guacamole]] $11.25 +510 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +510 1 Chips and Guacamole NULL $3.99 +511 4 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $35.00 +511 3 Steak Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $27.75 +511 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $8.75 +511 4 Chips and Fresh Tomato Salsa NULL $11.80 +511 2 Chips and Guacamole NULL $8.90 +511 2 Chips and Tomatillo Green Chili Salsa NULL $5.90 +511 1 6 Pack Soft Drink [Coke] $6.49 +512 1 Veggie Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +513 2 Steak Burrito [[Tomatillo-Green Chili Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Sour Cream]] $17.98 +513 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +514 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +514 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans]] $8.75 +514 1 Chips NULL $2.15 +515 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese]] $8.75 +515 1 Chips and Guacamole NULL $4.45 +516 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Rice, Cheese, Lettuce]] $8.49 +516 1 Side of Chips NULL $1.69 +517 1 Chicken Burrito [Tomatillo Red Chili (Hot), [Lettuce, Rice, Cheese]] $8.19 +517 1 Steak Burrito [Tomatillo Red Chili (Hot), [Lettuce, Rice, Sour Cream, Cheese]] $8.69 +518 1 Chicken Burrito [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Rice, Black Beans, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +519 1 Chips and Guacamole NULL $3.99 +519 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +519 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +520 1 Chips and Guacamole NULL $4.45 +520 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Rice, Sour Cream, Cheese, Lettuce]] $8.75 +520 1 6 Pack Soft Drink [Sprite] $6.49 +521 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +521 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +522 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese]] $9.25 +522 1 Canned Soft Drink [Diet Coke] $1.25 +522 1 Chips and Guacamole NULL $4.45 +523 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese]] $8.49 +523 1 Side of Chips NULL $1.69 +524 1 Carnitas Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +524 1 Chips and Guacamole NULL $4.45 +525 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Lettuce, Black Beans, Sour Cream, Cheese, Rice, Fajita Veggies, Pinto Beans]] $8.99 +525 1 Canned Soda [Sprite] $1.09 +526 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +526 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +527 1 Steak Bowl [Fresh Tomato (Mild), [Guacamole, Lettuce, Pinto Beans, Rice, Sour Cream, Cheese]] $11.08 +527 1 Carnitas Bowl [Fresh Tomato (Mild), [Guacamole, Lettuce, Rice, Sour Cream, Cheese]] $11.08 +527 1 Chips and Guacamole NULL $3.89 +528 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Rice, Black Beans, Fajita Veggies, Cheese, Guacamole, Lettuce]] $10.98 +529 1 Veggie Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole]] $11.25 +529 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +529 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Black Beans, Guacamole]] $11.25 +530 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $9.25 +530 2 Chips NULL $4.30 +530 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream, Lettuce]] $8.75 +531 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream]] $8.49 +531 1 Chips and Guacamole NULL $3.99 +532 1 Side of Chips NULL $1.69 +532 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Lettuce, Cheese, Sour Cream]] $8.99 +533 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese]] $8.49 +533 1 Side of Chips NULL $1.69 +534 1 Steak Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +534 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +534 1 Steak Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.89 +535 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $9.25 +535 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +535 1 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +535 1 Chips and Fresh Tomato Salsa NULL $2.95 +536 1 Veggie Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $8.75 +536 1 Chips and Guacamole NULL $4.45 +537 1 Chips and Guacamole NULL $4.45 +537 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +538 1 Chicken Burrito [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +539 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Rice, Cheese, Sour Cream, Guacamole]] $11.48 +539 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese]] $8.49 +540 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese]] $9.25 +540 1 Chips and Guacamole NULL $4.45 +541 1 Steak Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +541 1 Barbacoa Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.89 +542 1 Steak Crispy Tacos [Roasted Chili Corn Salsa (Medium), [Rice, Cheese, Lettuce]] $8.99 +542 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Cheese, Lettuce]] $8.49 +543 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Black Beans, Cheese, Sour Cream]] $8.75 +543 1 Steak Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +544 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +544 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +545 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +545 1 Barbacoa Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.75 +545 1 Chips and Guacamole NULL $4.45 +546 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Guacamole]] $11.25 +546 1 Carnitas Burrito [Tomatillo Green Chili Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +546 2 Canned Soft Drink [Coke] $2.50 +547 1 Steak Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +547 1 Side of Chips NULL $1.69 +548 1 Carnitas Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Guacamole]] $11.75 +548 1 Chips NULL $2.15 +549 1 Canned Soft Drink [Coke] $1.25 +549 1 Carnitas Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +549 1 Chicken Crispy Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Sour Cream, Lettuce]] $8.75 +549 2 Chips and Guacamole NULL $8.90 +550 1 Barbacoa Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +550 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +551 1 Veggie Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +551 1 Chicken Burrito [Tomatillo Green Chili Salsa, Guacamole] $11.25 +552 2 Chips and Guacamole NULL $8.90 +552 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole]] $11.25 +552 1 Steak Soft Tacos [Tomatillo Green Chili Salsa, [Fajita Vegetables, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +553 1 Steak Bowl [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +553 1 Side of Chips NULL $1.69 +553 1 Nantucket Nectar [Pomegranate Cherry] $3.39 +554 1 Barbacoa Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +554 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +555 1 Carnitas Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +555 1 Side of Chips NULL $1.69 +555 1 Chicken Soft Tacos [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Cheese, Sour Cream, Lettuce]] $8.49 +556 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Guacamole]] $10.98 +557 1 Veggie Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +557 1 Chips and Fresh Tomato Salsa NULL $2.95 +558 1 Steak Soft Tacos [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +558 1 Side of Chips NULL $1.69 +559 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables]] $8.75 +559 1 Chips NULL $2.15 +559 1 Canned Soft Drink [Diet Coke] $1.25 +560 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $8.75 +560 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +560 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $9.25 +560 2 Canned Soft Drink [Coke] $2.50 +561 1 Veggie Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +561 1 Canned Soft Drink [Coke] $1.25 +561 1 Carnitas Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.75 +561 2 Canned Soft Drink [Lemonade] $2.50 +561 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Pinto Beans, Guacamole, Lettuce]] $11.25 +561 1 Bottled Water NULL $1.50 +561 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Lettuce]] $8.75 +561 1 Canned Soft Drink [Coke] $1.25 +561 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +562 1 Barbacoa Bowl [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Rice, Fajita Veggies, Guacamole, Lettuce]] $11.48 +562 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +563 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream]] $8.75 +563 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $8.75 +563 1 Chips NULL $2.15 +564 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Guacamole]] $11.75 +564 1 Canned Soft Drink [Diet Coke] $1.25 +565 1 Carnitas Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +565 1 Barbacoa Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +566 1 6 Pack Soft Drink [Diet Coke] $6.49 +566 1 Carnitas Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +567 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +567 1 Veggie Soft Tacos [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +567 1 Canned Soda [Coca Cola] $1.09 +568 1 Chicken Bowl [Tomatillo-Green Chili Salsa (Medium), [Fajita Veggies, Cheese, Guacamole, Lettuce]] $10.98 +569 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +569 1 Canned Soft Drink [Diet Coke] $1.25 +569 1 Chips NULL $2.15 +570 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +570 1 Bottled Water NULL $1.50 +571 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +571 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Guacamole]] $11.25 +572 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Cheese]] $8.49 +572 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +573 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Lettuce]] $8.75 +573 1 Bottled Water NULL $1.50 +573 1 Canned Soft Drink [Diet Coke] $1.25 +573 1 Bottled Water NULL $1.50 +574 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese]] $8.75 +574 2 Canned Soft Drink [Diet Coke] $2.50 +574 1 Chips NULL $2.15 +575 1 Salad [Brown Rice, Adobo-Marinated and Grilled Chicken, Vegetarian Black Beans] $7.40 +575 1 Salad [White Rice, Adobo-Marinated and Grilled Chicken, Vegetarian Black Beans] $7.40 +575 1 Chips and Guacamole NULL $4.00 +576 1 Barbacoa Bowl [Tomatillo Red Chili Salsa] $9.25 +576 1 Barbacoa Salad Bowl [Roasted Chili Corn Salsa] $9.39 +576 1 Barbacoa Bowl [Roasted Chili Corn Salsa] $9.25 +576 1 Barbacoa Bowl [Roasted Chili Corn Salsa] $9.25 +576 1 Barbacoa Salad Bowl [Roasted Chili Corn Salsa] $9.39 +577 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +577 2 Chips and Guacamole NULL $8.90 +577 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Guacamole, Lettuce]] $11.25 +577 4 Bottled Water NULL $6.00 +577 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Guacamole]] $11.25 +577 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Cheese, Guacamole]] $11.25 +577 1 Veggie Bowl [Fresh Tomato Salsa, [Black Beans, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +578 2 Chicken Bowl [Fresh Tomato Salsa, [Rice, Sour Cream, Guacamole]] $22.50 +579 1 Carnitas Bowl [[Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild)], [Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +579 1 Canned Soda [Sprite] $1.09 +580 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Rice, Fajita Veggies]] $8.49 +580 1 Veggie Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Rice, Fajita Veggies, Lettuce]] $8.49 +581 2 Chicken Burrito [Fresh Tomato Salsa, Rice] $17.50 +582 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +582 1 Bottled Water NULL $1.50 +583 1 Carnitas Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +583 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Lettuce]] $8.75 +584 1 Chips and Guacamole NULL $3.99 +584 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +585 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $8.75 +585 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Sour Cream, Lettuce]] $8.75 +585 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +586 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables]] $8.75 +586 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Fajita Vegetables, Sour Cream]] $8.75 +587 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +587 1 Bottled Water NULL $1.50 +588 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +588 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.25 +588 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +589 1 Steak Crispy Tacos [Fresh Tomato Salsa (Mild), [Rice, Cheese]] $8.99 +589 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Guacamole]] $10.98 +590 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce]] $9.25 +590 1 Veggie Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Pinto Beans, Cheese]] $8.75 +590 1 Chips and Guacamole NULL $4.45 +591 1 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.49 +591 1 Canned Soda [Sprite] $1.09 +591 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +592 1 Veggie Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese]] $8.75 +592 1 Chicken Salad Bowl [Fresh Tomato Salsa, Lettuce] $8.75 +593 1 Steak Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +594 1 Carnitas Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.99 +594 1 Chicken Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Pinto Beans, Black Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.49 +595 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +595 1 Chips and Fresh Tomato Salsa NULL $2.39 +596 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +596 1 Chicken Soft Tacos [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +596 1 Chips and Guacamole NULL $3.99 +597 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Guacamole, Lettuce]] $11.75 +597 1 Chips and Guacamole NULL $4.45 +598 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice]] $8.75 +598 1 Chips NULL $2.15 +598 1 Canned Soft Drink [Diet Coke] $1.25 +599 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Sour Cream, Guacamole]] $10.98 +599 1 Steak Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Cheese]] $8.99 +600 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Lettuce, Guacamole]] $11.25 +600 1 Bottled Water NULL $1.50 +601 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +601 1 Chips NULL $2.15 +601 1 Canned Soft Drink [Diet Coke] $1.25 +602 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +602 1 Steak Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +602 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Sour Cream]] $8.75 +603 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +603 1 Bottled Water NULL $1.50 +604 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $8.75 +604 1 Canned Soft Drink [Coke] $1.25 +604 1 Chips and Guacamole NULL $4.45 +605 1 Chicken Soft Tacos [Tomatillo-Red Chili Salsa (Hot), [Fajita Veggies, Cheese, Sour Cream, Guacamole]] $10.98 +606 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +606 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +606 1 Canned Soft Drink [Nestea] $1.25 +607 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +607 1 Chips and Fresh Tomato Salsa NULL $2.95 +607 1 Canned Soft Drink [Sprite] $1.25 +608 1 Chicken Soft Tacos [Roasted Chili Corn Salsa (Medium), Cheese] $8.49 +608 1 Veggie Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +608 1 Chips and Fresh Tomato Salsa NULL $2.39 +609 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Pinto Beans, Guacamole, Lettuce]] $11.25 +609 1 Canned Soft Drink [Diet Coke] $1.25 +610 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +610 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +611 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +611 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +612 1 Steak Salad Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.89 +612 1 Canned Soft Drink [Diet Coke] $1.25 +613 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $8.75 +613 1 Chips NULL $2.15 +613 1 Canned Soft Drink [Lemonade] $1.25 +614 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Green Chili Salsa (Medium)], [Rice, Black Beans, Sour Cream]] $8.99 +614 1 Canned Soda [Mountain Dew] $1.09 +615 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +615 1 Chips and Guacamole NULL $4.45 +616 3 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $26.25 +617 1 Chicken Bowl [Fresh Tomato Salsa, [Sour Cream, Lettuce, Rice, Cheese]] $8.75 +617 1 Chips and Guacamole NULL $4.45 +618 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Guacamole, Lettuce]] $11.75 +618 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +619 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +619 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +620 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Guacamole, Lettuce]] $11.75 +620 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $8.75 +621 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +621 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +622 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Sour Cream, Cheese, Guacamole]] $11.25 +622 1 Chips and Guacamole NULL $4.45 +622 1 Canned Soft Drink [Coke] $1.25 +623 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +623 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +623 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +623 1 Barbacoa Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.99 +624 1 Barbacoa Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream]] $8.99 +624 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +624 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +624 1 Chips and Guacamole NULL $3.99 +625 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +625 1 Chips and Guacamole NULL $4.45 +626 1 Chips NULL $2.15 +626 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +626 1 Canned Soft Drink [Sprite] $1.25 +627 1 Chicken Burrito [Fresh Tomato Salsa, [Guacamole, Lettuce, Sour Cream, Fajita Vegetables, Cheese, Rice]] $11.25 +627 1 Steak Soft Tacos [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole]] $11.75 +628 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +628 1 Chips and Guacamole NULL $4.45 +628 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Guacamole]] $11.25 +628 1 Chips NULL $2.15 +628 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Sour Cream]] $8.75 +628 1 Chips and Guacamole NULL $4.45 +629 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans]] $8.75 +629 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans]] $8.75 +629 1 Canned Soft Drink [Diet Coke] $1.25 +630 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Guacamole, Lettuce]] $11.25 +630 1 Chips NULL $2.15 +631 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Lettuce, Black Beans]] $8.75 +631 2 Chips and Roasted Chili Corn Salsa NULL $5.90 +632 1 Steak Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.75 +632 1 Canned Soft Drink [Coke] $1.25 +633 1 Steak Burrito [Roasted Chili Corn Salsa, [Black Beans, Cheese, Lettuce]] $9.25 +633 3 Canned Soft Drink [Coke] $3.75 +634 1 Chicken Soft Tacos [Fresh Tomato Salsa] $8.75 +634 1 Canned Soft Drink [Lemonade] $1.25 +634 1 Chips and Guacamole NULL $4.45 +635 1 Steak Bowl [Tomatillo Green Chili Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +635 1 Chips and Guacamole NULL $4.45 +635 1 Chicken Burrito [Fresh Tomato Salsa, Rice] $8.75 +635 2 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $23.50 +636 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Cheese, Lettuce]] $8.75 +636 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +636 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +637 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Cheese, Lettuce]] $8.75 +637 1 Steak Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $11.89 +637 1 Chips and Guacamole NULL $4.45 +637 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +637 1 Canned Soft Drink [Diet Coke] $1.25 +638 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Cheese, Lettuce]] $8.75 +638 1 Chips and Guacamole NULL $4.45 +638 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +638 1 Canned Soft Drink [Sprite] $1.25 +639 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +639 1 Chips NULL $2.15 +639 1 Canned Soft Drink [Diet Coke] $1.25 +640 1 Steak Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Black Beans, Sour Cream, Lettuce, Guacamole]] $11.75 +640 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +641 1 Barbacoa Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +641 1 Nantucket Nectar [Peach Orange] $3.39 +642 1 Steak Burrito [Roasted Chili Corn Salsa, [Black Beans, Cheese, Lettuce]] $9.25 +642 1 Carnitas Soft Tacos [Roasted Chili Corn Salsa, [Cheese, Lettuce]] $9.25 +643 2 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Sour Cream, Lettuce]] $17.50 +643 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +644 1 Steak Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.89 +644 1 Bottled Water NULL $1.50 +645 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +645 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +646 1 Carnitas Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +646 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +647 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Cheese, Lettuce, Guacamole]] $11.25 +647 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +648 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream, Lettuce]] $8.75 +648 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $9.25 +648 2 Chips NULL $4.30 +649 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +649 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +649 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +649 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans]] $8.75 +649 2 Chips NULL $4.30 +650 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Fajita Vegetables]] $8.75 +650 1 Canned Soft Drink [Diet Coke] $1.25 +650 1 Chips NULL $2.15 +651 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream, Lettuce]] $8.49 +651 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Rice, Fajita Veggies, Sour Cream, Lettuce]] $8.49 +651 1 Izze [Blackberry] $3.39 +651 1 Izze [Blackberry] $3.39 +652 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Sour Cream, Guacamole]] $10.98 +652 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Guacamole, Lettuce]] $10.98 +652 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +653 1 Chicken Burrito [Fresh Tomato Salsa, [Guacamole, Cheese, Rice, Sour Cream, Fajita Vegetables, Lettuce]] $11.25 +653 1 Steak Soft Tacos [Tomatillo Green Chili Salsa, [Sour Cream, Cheese, Guacamole, Rice, Fajita Vegetables]] $11.75 +654 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.75 +654 1 Canned Soft Drink [Lemonade] $1.25 +654 2 Chips and Tomatillo Red Chili Salsa NULL $5.90 +654 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Lettuce]] $8.75 +654 1 Veggie Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +655 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +655 1 Chips and Guacamole NULL $4.45 +655 1 Bottled Water NULL $1.50 +656 1 Nantucket Nectar [Pineapple Orange Banana] $3.39 +656 1 Carnitas Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +656 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +657 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Guacamole]] $11.25 +657 1 Chips NULL $2.15 +658 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +658 1 Carnitas Crispy Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +659 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Guacamole]] $11.75 +659 1 Chips and Guacamole NULL $4.45 +660 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Guacamole, Lettuce]] $11.75 +660 1 Chips and Guacamole NULL $4.45 +661 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +661 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +662 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +662 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +663 1 Chicken Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +663 1 Barbacoa Soft Tacos [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.99 +664 1 Barbacoa Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +664 1 Veggie Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +665 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream]] $8.49 +665 1 Chips and Guacamole NULL $3.99 +666 1 Chips and Guacamole NULL $3.89 +666 1 Barbacoa Burrito [Fresh Tomato (Mild), [Guacamole, Rice, Black Beans]] $11.08 +667 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Lettuce]] $8.49 +667 1 Barbacoa Bowl [[Tomatillo-Green Chili Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Lettuce]] $8.99 +667 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Cheese, Lettuce]] $8.49 +668 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +668 1 Veggie Crispy Tacos [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +669 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +669 1 Chips NULL $2.15 +670 2 Chicken Burrito [Tomatillo Red Chili Salsa, Rice] $17.50 +670 1 Chicken Soft Tacos [Tomatillo Red Chili Salsa, Rice] $8.75 +670 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +671 1 Chicken Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Rice, Fajita Veggies, Cheese, Lettuce]] $8.49 +671 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Lettuce]] $8.49 +672 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Fajita Veggies, Guacamole, Lettuce]] $10.98 +672 1 Canned Soda [Diet Coke] $1.09 +673 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +673 1 Chips NULL $2.15 +674 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +674 1 Canned Soft Drink [Sprite] $1.25 +674 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese]] $8.75 +675 1 Carnitas Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +675 1 Barbacoa Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +676 1 Barbacoa Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +676 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +677 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +677 1 Chips NULL $2.15 +677 1 Canned Soft Drink [Lemonade] $1.25 +678 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +678 1 Chips and Guacamole NULL $3.99 +679 1 Carnitas Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +679 1 Chips NULL $2.15 +680 1 Carnitas Bowl [Tomatillo-Red Chili Salsa (Hot), [Lettuce, Sour Cream, Cheese, Fajita Veggies, Rice, Black Beans]] $8.99 +680 1 Izze [Clementine] $3.39 +681 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Lettuce]] $9.25 +681 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Lettuce]] $8.75 +682 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.25 +682 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.25 +682 1 Chips and Guacamole NULL $4.45 +683 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +683 1 Chips NULL $2.15 +683 1 Canned Soft Drink [Diet Coke] $1.25 +684 1 Steak Burrito [Fresh Tomato Salsa, [Sour Cream, Guacamole, Rice, Lettuce]] $11.75 +684 1 Chips and Guacamole NULL $4.45 +685 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $9.25 +685 1 Chips and Fresh Tomato Salsa NULL $2.95 +686 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Rice, Fajita Veggies]] $8.49 +686 1 Veggie Salad [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Rice, Fajita Veggies, Lettuce]] $8.49 +687 1 Veggie Burrito [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans, Lettuce, Guacamole]] $11.25 +687 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese]] $8.75 +687 1 Chips and Guacamole NULL $4.45 +688 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Guacamole]] $11.25 +688 1 Veggie Soft Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +688 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +688 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +688 1 Chips and Guacamole NULL $4.45 +689 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream]] $8.49 +689 1 Side of Chips NULL $1.69 +690 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +690 1 Nantucket Nectar [Apple] $3.39 +691 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream]] $8.75 +691 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Black Beans, Guacamole, Lettuce]] $11.25 +691 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +691 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +691 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +691 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole]] $11.25 +691 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.75 +691 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +691 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Guacamole, Lettuce]] $11.75 +691 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +691 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +692 2 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Lettuce, Guacamole, Sour Cream, Cheese, Rice, Black Beans]] $21.96 +693 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +693 1 Side of Chips NULL $1.69 +694 1 Steak Soft Tacos [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +694 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream]] $8.99 +695 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Cheese, Lettuce]] $8.49 +695 1 Side of Chips NULL $1.69 +696 1 Steak Bowl [Fresh Tomato Salsa, Rice] $9.25 +696 1 Chips NULL $2.15 +696 1 Bottled Water NULL $1.50 +697 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +697 1 Bottled Water NULL $1.50 +698 1 Chicken Bowl [Fresh Tomato Salsa, [Sour Cream, Cheese]] $8.75 +698 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +698 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +699 1 Chicken Bowl [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +699 1 Side of Chips NULL $1.69 +700 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +700 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +700 1 Canned Soft Drink [Lemonade] $1.25 +701 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Guacamole, Lettuce]] $11.25 +701 1 Chips NULL $2.15 +702 1 Carnitas Bowl [Fresh Tomato (Mild), [Guacamole, Sour Cream, Cheese]] $11.08 +703 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese]] $8.49 +703 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese]] $8.49 +703 1 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Fajita Veggies, Cheese]] $8.49 +704 1 Steak Bowl [Fresh Tomato Salsa, Guacamole] $11.75 +704 1 Canned Soft Drink [Sprite] $1.25 +705 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +705 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Black Beans, Lettuce]] $8.75 +706 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +706 1 Veggie Bowl [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +706 1 Chips and Guacamole NULL $4.45 +707 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +707 1 Bottled Water NULL $1.50 +708 2 Steak Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $23.50 +708 1 Barbacoa Soft Tacos [Tomatillo Green Chili Salsa, [Pinto Beans, Sour Cream, Guacamole]] $11.75 +708 1 6 Pack Soft Drink [Coke] $6.49 +709 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Sour Cream, Cheese, Lettuce]] $8.75 +709 1 Chips and Guacamole NULL $4.45 +709 1 6 Pack Soft Drink [Diet Coke] $6.49 +710 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese]] $8.75 +710 2 Canned Soft Drink [Diet Coke] $2.50 +710 1 Chips NULL $2.15 +711 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream, Lettuce]] $8.49 +711 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +712 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $8.75 +712 1 Steak Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +712 1 Chips and Guacamole NULL $4.45 +713 1 Carnitas Bowl [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream]] $8.99 +713 1 Veggie Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Cheese, Sour Cream, Guacamole]] $10.98 +714 1 Steak Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese]] $9.25 +714 1 Chips and Fresh Tomato Salsa NULL $2.95 +715 1 Steak Burrito [Roasted Chili Corn Salsa, [Lettuce, Black Beans, Cheese]] $9.25 +715 1 Carnitas Soft Tacos [Roasted Chili Corn Salsa, [Cheese, Lettuce]] $9.25 +716 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Guacamole, Lettuce]] $11.75 +716 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $8.75 +717 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $8.75 +717 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +718 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +719 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +719 1 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +720 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +720 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream, Lettuce]] $8.75 +720 1 Chips NULL $2.15 +721 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Guacamole]] $11.25 +721 1 Chips NULL $2.15 +722 1 Chips and Guacamole NULL $4.45 +722 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +723 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream]] $8.49 +723 1 Chips and Fresh Tomato Salsa NULL $2.39 +724 1 Carnitas Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +724 1 Canned Soft Drink [Coke] $1.25 +724 1 Canned Soft Drink [Coke] $1.25 +724 1 Canned Soft Drink [Coke] $1.25 +725 1 Canned Soft Drink [Coke] $1.25 +725 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +725 1 Chips NULL $2.15 +726 1 Chicken Bowl [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +726 1 Side of Chips NULL $1.69 +727 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +727 1 Bottled Water NULL $1.50 +728 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream]] $8.75 +728 1 Chicken Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream]] $8.75 +729 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream]] $8.49 +729 1 Chips and Guacamole NULL $3.99 +730 1 Barbacoa Bowl [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +730 1 Canned Soda [Sprite] $1.09 +731 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Pinto Beans, Black Beans, Lettuce, Guacamole]] $11.25 +731 1 Canned Soft Drink [Diet Coke] $1.25 +732 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +732 1 Chips and Fresh Tomato Salsa NULL $2.39 +732 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Cheese, Sour Cream]] $8.49 +733 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Cheese, Lettuce]] $8.75 +733 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $9.25 +734 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Cheese, Guacamole]] $11.25 +734 1 Chips and Guacamole NULL $4.45 +734 1 Chicken Salad Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Guacamole, Lettuce]] $11.25 +734 1 Steak Salad Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole]] $11.89 +735 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +735 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +736 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Lettuce]] $8.75 +736 1 Chips and Guacamole NULL $4.45 +737 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $8.75 +737 1 Steak Bowl [Tomatillo Green Chili Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +737 1 Steak Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +737 2 Chips and Guacamole NULL $8.90 +738 1 Barbacoa Salad Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $9.39 +738 1 Chips and Fresh Tomato Salsa NULL $2.95 +739 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +739 1 Chips and Guacamole NULL $3.99 +740 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +740 1 Chips NULL $2.15 +740 1 Canned Soft Drink [Diet Coke] $1.25 +741 2 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Sour Cream, Cheese, Fajita Veggies, Guacamole, Rice, Pinto Beans]] $21.96 +742 1 Veggie Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +742 1 Side of Chips NULL $1.69 +743 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +743 1 Chips and Guacamole NULL $4.45 +744 1 Chicken Soft Tacos [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Lettuce]] $8.49 +744 1 Carnitas Crispy Tacos [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +745 1 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium)], [Rice, Black Beans, Fajita Veggies, Cheese, Sour Cream]] $8.49 +745 1 Chips and Guacamole NULL $3.99 +746 1 Veggie Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +746 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +746 1 Chips and Fresh Tomato Salsa NULL $2.95 +746 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa, [Rice, Black Beans, Lettuce]] $8.75 +747 2 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream]] $17.50 +748 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $9.25 +748 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +749 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese]] $8.75 +749 1 6 Pack Soft Drink [Coke] $6.49 +750 2 Chips NULL $4.30 +750 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +751 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +751 1 Chips NULL $2.15 +751 1 Bottled Water NULL $1.50 +752 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Lettuce]] $8.49 +752 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Cheese, Lettuce]] $8.49 +752 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +753 1 Steak Burrito [Tomatillo Red Chili Salsa, Sour Cream] $9.25 +753 1 Chips and Guacamole NULL $4.45 +754 1 6 Pack Soft Drink [Diet Coke] $6.49 +754 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +754 1 Chips and Guacamole NULL $4.45 +755 1 Veggie Bowl [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +755 1 Side of Chips NULL $1.69 +756 1 Carnitas Salad Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $9.39 +756 1 Barbacoa Crispy Tacos [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $9.25 +757 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +757 1 Chips and Fresh Tomato Salsa NULL $2.95 +758 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +758 1 Chips NULL $2.15 +758 1 Canned Soft Drink [Sprite] $1.25 +759 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Guacamole, Lettuce]] $11.25 +759 1 Carnitas Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $9.25 +759 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Cheese, Lettuce]] $8.75 +759 1 Veggie Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +759 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +759 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Guacamole, Lettuce]] $11.25 +759 2 Canned Soft Drink [Coke] $2.50 +759 2 Canned Soft Drink [Diet Coke] $2.50 +759 4 Bottled Water NULL $6.00 +759 2 Chips and Guacamole NULL $8.90 +759 2 Chips and Fresh Tomato Salsa NULL $5.90 +760 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Guacamole, Lettuce]] $11.25 +760 1 Veggie Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +761 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +761 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Sour Cream, Guacamole]] $10.98 +762 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables]] $8.75 +762 1 Chips NULL $2.15 +762 1 Bottled Water NULL $1.50 +763 1 Steak Bowl [Fresh Tomato Salsa, Rice] $9.25 +763 1 Canned Soft Drink [Coke] $1.25 +763 1 Bottled Water NULL $1.50 +763 1 Chips NULL $2.15 +764 1 Canned Soft Drink [Lemonade] $1.25 +764 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +764 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +765 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Cheese, Sour Cream, Lettuce]] $8.49 +765 1 Chips and Guacamole NULL $3.99 +766 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Pinto Beans, Black Beans, Lettuce, Guacamole]] $11.25 +766 2 Chips NULL $4.30 +767 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Lettuce, Guacamole]] $11.75 +767 1 Chips NULL $2.15 +768 2 Barbacoa Crispy Tacos [Fresh Tomato Salsa, [Sour Cream, Cheese, Rice]] $18.50 +769 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream]] $8.49 +769 1 Chips and Fresh Tomato Salsa NULL $2.39 +770 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +770 1 Chips and Guacamole NULL $4.45 +770 1 Carnitas Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +771 1 Carnitas Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream]] $8.99 +771 1 Chips and Guacamole NULL $3.99 +772 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $9.25 +772 1 Steak Soft Tacos [Tomatillo Green Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $9.25 +773 1 Bottled Water NULL $1.50 +773 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +773 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +774 1 6 Pack Soft Drink [Diet Coke] $6.49 +774 1 Carnitas Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans, Cheese, Lettuce, Guacamole]] $11.75 +775 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Pinto Beans, Rice, Fajita Veggies, Sour Cream, Lettuce]] $8.49 +775 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +776 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese]] $8.75 +776 1 Chips and Guacamole NULL $4.45 +776 1 6 Pack Soft Drink [Coke] $6.49 +777 2 Chicken Salad Bowl [Tomatillo Green Chili Salsa, [Black Beans, Cheese, Guacamole]] $22.50 +778 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +778 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +779 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +779 1 Side of Chips NULL $1.69 +780 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Rice, Black Beans, Fajita Veggies, Cheese, Guacamole, Lettuce]] $10.98 +781 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +781 1 Chips and Guacamole NULL $4.45 +782 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Cheese, Guacamole]] $11.25 +782 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +783 1 Steak Bowl [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +783 1 Chicken Bowl [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream]] $8.49 +783 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +784 1 Steak Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +784 1 6 Pack Soft Drink [Diet Coke] $6.49 +784 1 Chicken Soft Tacos [Tomatillo Green Chili Salsa, [Sour Cream, Guacamole]] $11.25 +785 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Lettuce, Guacamole]] $11.75 +785 1 Chips and Fresh Tomato Salsa NULL $2.95 +786 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +786 1 Side of Chips NULL $1.69 +787 1 Steak Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Pinto Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +787 2 Canned Soda [Dr. Pepper] $2.18 +787 1 Canned Soda [Coca Cola] $1.09 +787 1 Steak Burrito [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +787 1 Carnitas Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +788 1 Canned Soda [Dr. Pepper] $1.09 +788 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Cheese, Lettuce]] $8.99 +789 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +789 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +790 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Sour Cream, Guacamole]] $10.98 +790 1 Canned Soda [Diet Coke] $1.09 +791 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.75 +791 1 Steak Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $9.25 +791 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Guacamole, Lettuce]] $11.25 +791 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Sour Cream, Guacamole]] $11.25 +791 1 Chips NULL $2.15 +792 1 Veggie Burrito [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans, Lettuce, Guacamole]] $11.25 +792 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese]] $8.75 +792 1 Chips and Guacamole NULL $4.45 +792 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +793 1 Carnitas Soft Tacos [Fresh Tomato Salsa, [Sour Cream, Guacamole]] $11.75 +793 1 Bottled Water NULL $1.50 +794 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +794 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +794 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +795 1 Chicken Burrito [Tomatillo Red Chili Salsa, Lettuce] $8.75 +795 1 Chips NULL $2.15 +795 1 Barbacoa Bowl [Tomatillo Red Chili Salsa] $9.25 +796 1 Bottled Water NULL $1.50 +796 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +796 1 Chips NULL $2.15 +797 1 Chips and Guacamole NULL $3.99 +797 1 Steak Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium)], [Rice, Black Beans, Fajita Veggies, Cheese, Sour Cream]] $8.99 +798 1 6 Pack Soft Drink [Diet Coke] $6.49 +798 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Sour Cream, Cheese, Lettuce]] $8.75 +798 2 Chips and Guacamole NULL $8.90 +799 1 Steak Soft Tacos [Tomatillo-Green Chili Salsa (Medium), [Cheese, Sour Cream]] $8.99 +799 1 Chips and Guacamole NULL $3.99 +800 2 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $17.50 +801 1 Veggie Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Guacamole, Lettuce]] $11.25 +801 1 Canned Soft Drink [Diet Coke] $1.25 +802 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $10.98 +803 1 Barbacoa Soft Tacos [Fresh Tomato Salsa, [Black Beans, Cheese, Lettuce]] $9.25 +803 1 Chips and Guacamole NULL $4.45 +803 1 Canned Soft Drink [Coke] $1.25 +803 2 Bottled Water NULL $3.00 +804 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +804 1 Chips and Guacamole NULL $4.45 +805 1 Chips and Guacamole NULL $4.45 +805 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +805 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $9.25 +806 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Guacamole]] $11.25 +806 1 Chips NULL $2.15 +806 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +806 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +806 1 Chips and Guacamole NULL $4.45 +807 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +807 1 Carnitas Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Lettuce]] $9.25 +807 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Guacamole, Lettuce]] $11.25 +807 1 Canned Soft Drink [Coke] $1.25 +808 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +808 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +808 1 Canned Soft Drink [Sprite] $1.25 +809 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Sour Cream, Lettuce]] $8.75 +809 1 Chips and Guacamole NULL $4.45 +810 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Rice, Guacamole, Lettuce]] $11.48 +810 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Guacamole, Lettuce]] $11.48 +811 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Rice, Black Beans, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +811 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +812 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Sour Cream, Guacamole]] $11.25 +812 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +812 1 Chips NULL $2.15 +813 1 Bottled Water NULL $1.50 +813 1 Chips NULL $2.15 +813 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +814 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +814 2 Chips and Guacamole NULL $8.90 +814 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +815 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +815 1 Canned Soft Drink [Diet Coke] $1.25 +816 1 Chips and Guacamole NULL $4.45 +816 1 Steak Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream]] $9.25 +816 1 Steak Crispy Tacos [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $9.25 +816 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +817 1 Carnitas Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $9.25 +817 1 Veggie Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $8.75 +817 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +818 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $9.25 +818 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Lettuce]] $8.75 +818 1 Carnitas Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +818 1 Carnitas Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +818 1 Veggie Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $8.75 +818 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +818 2 Chips and Guacamole NULL $8.90 +818 1 Chips and Fresh Tomato Salsa NULL $2.95 +819 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream, Guacamole]] $10.98 +820 1 Veggie Bowl [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +820 1 Chicken Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +821 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Cheese, Guacamole]] $10.98 +822 1 Steak Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +822 1 Steak Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream]] $8.99 +823 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +823 2 Chicken Burrito [Fresh Tomato Salsa, Rice] $17.50 +823 1 Steak Bowl [Tomatillo Green Chili Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +824 1 Chips and Guacamole NULL $3.99 +824 1 Chicken Soft Tacos [Roasted Chili Corn Salsa (Medium), [Cheese, Sour Cream]] $8.49 +825 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Guacamole]] $10.98 +825 1 Side of Chips NULL $1.69 +826 2 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $17.50 +827 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +827 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +828 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +828 1 Chips and Fresh Tomato Salsa NULL $2.39 +829 1 Canned Soft Drink [Sprite] $1.25 +829 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Lettuce]] $8.75 +829 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +830 1 Steak Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Cheese, Sour Cream, Guacamole, Lettuce, Rice]] $11.75 +830 1 Chicken Soft Tacos [Tomatillo Green Chili Salsa, [Guacamole, Sour Cream]] $11.25 +831 2 Chicken Burrito [Fresh Tomato Salsa, [Lettuce, Rice, Black Beans, Cheese]] $17.50 +832 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Rice, Fajita Veggies]] $8.49 +832 1 Veggie Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Rice, Fajita Veggies]] $8.49 +832 1 Chips and Fresh Tomato Salsa NULL $2.39 +833 1 Chicken Bowl [Fresh Tomato Salsa, [Sour Cream, Guacamole, Lettuce]] $11.25 +833 1 Bottled Water NULL $1.50 +834 1 Veggie Burrito [Fresh Tomato Salsa, [Cheese, Rice, Pinto Beans]] $8.75 +834 2 Bottled Water NULL $3.00 +834 1 Canned Soft Drink [Diet Coke] $1.25 +835 1 Chicken Bowl [Fresh Tomato Salsa, Cheese] $8.75 +835 1 Chips and Guacamole NULL $4.45 +836 1 Steak Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole]] $11.75 +836 1 Barbacoa Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Pinto Beans, Sour Cream, Guacamole, Lettuce]] $11.75 +836 1 Chips and Guacamole NULL $4.45 +837 2 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Cheese, Sour Cream, Rice, Fajita Veggies, Guacamole]] $21.96 +838 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream, Lettuce]] $8.75 +838 1 Chips and Guacamole NULL $4.45 +838 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream, Lettuce]] $8.75 +839 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream, Guacamole]] $11.25 +839 1 Carnitas Soft Tacos [Tomatillo Green Chili Salsa] $9.25 +840 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +840 1 Chips and Fresh Tomato Salsa NULL $2.39 +841 1 Barbacoa Soft Tacos [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream]] $9.25 +841 1 Veggie Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +842 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Guacamole]] $10.98 +842 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Sour Cream, Lettuce]] $8.49 +842 1 Chips and Guacamole NULL $3.99 +842 1 Izze [Clementine] $3.39 +843 1 Steak Bowl [Tomatillo Red Chili Salsa, [Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +843 1 Bottled Water NULL $1.50 +844 1 Chips and Guacamole NULL $4.45 +844 1 Carnitas Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $9.25 +844 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +845 1 Canned Soft Drink [Coke] $1.25 +845 1 Steak Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Guacamole, Lettuce]] $11.75 +846 1 Veggie Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese]] $8.75 +846 1 Bottled Water NULL $1.50 +846 1 Chicken Burrito [Fresh Tomato Salsa, [Cheese, Lettuce]] $8.75 +847 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +847 1 Chips NULL $2.15 +847 1 Bottled Water NULL $1.50 +848 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +848 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +848 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans]] $8.75 +848 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Black Beans, Cheese, Sour Cream]] $8.75 +848 2 Chicken Bowl [Fresh Tomato Salsa, [Black Beans, Cheese, Sour Cream]] $17.50 +848 1 Chicken Burrito [Fresh Tomato Salsa, [Pinto Beans, Cheese, Sour Cream]] $8.75 +849 1 6 Pack Soft Drink [Coke] $6.49 +849 1 Chips and Guacamole NULL $4.45 +849 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.25 +850 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Pinto Beans, Black Beans, Lettuce, Guacamole]] $11.25 +850 2 Chips NULL $4.30 +850 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +851 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Guacamole, Lettuce]] $11.25 +851 1 Chips and Guacamole NULL $4.45 +852 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Sour Cream, Lettuce]] $8.99 +852 1 Chips and Fresh Tomato Salsa NULL $2.39 +853 1 Steak Burrito [Roasted Chili Corn Salsa, [Cheese, Black Beans, Lettuce]] $9.25 +853 1 Carnitas Soft Tacos [Roasted Chili Corn Salsa, [Lettuce, Cheese]] $9.25 +854 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +854 1 Chips and Guacamole NULL $4.45 +855 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Cheese, Guacamole, Lettuce]] $11.75 +855 1 Veggie Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +855 1 Chips and Fresh Tomato Salsa NULL $2.95 +855 1 Chips NULL $2.15 +856 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +856 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +857 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +857 1 Chips NULL $2.15 +857 1 Bottled Water NULL $1.50 +858 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +858 1 Chips and Guacamole NULL $4.45 +859 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Guacamole]] $10.98 +859 1 Steak Burrito [Fresh Tomato Salsa (Mild), Black Beans] $8.99 +859 2 Canned Soda [Diet Coke] $2.18 +860 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +860 1 Chips and Guacamole NULL $4.45 +860 1 Canned Soft Drink [Diet Coke] $1.25 +861 1 Steak Soft Tacos [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Black Beans, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +861 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +862 1 Chips and Guacamole NULL $4.45 +862 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +863 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Cheese, Guacamole]] $10.98 +864 1 Steak Soft Tacos [Fresh Tomato Salsa, [Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +864 1 Bottled Water NULL $1.50 +865 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Guacamole, Rice, Black Beans, Cheese, Sour Cream]] $10.98 +866 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +866 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +866 1 Chips and Guacamole NULL $3.99 +867 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +867 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +868 1 Chips and Guacamole NULL $3.99 +868 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese]] $8.49 +868 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +868 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Lettuce]] $8.99 +869 1 Veggie Salad Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole]] $11.25 +869 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Guacamole, Lettuce]] $11.25 +870 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Guacamole]] $10.98 +871 1 Chicken Burrito [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Pinto Beans, Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +872 1 Chicken Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +872 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +872 1 Nantucket Nectar [Pineapple Orange Banana] $3.39 +873 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +873 1 Canned Soft Drink [Sprite] $1.25 +873 1 Chips and Fresh Tomato Salsa NULL $2.95 +874 1 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +874 1 Bottled Water NULL $1.50 +875 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Cheese, Guacamole]] $10.98 +875 1 Side of Chips NULL $1.69 +876 1 Chips and Guacamole NULL $4.45 +876 1 Chicken Burrito [Roasted Chili Corn Salsa] $8.75 +877 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Lettuce]] $8.75 +877 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Lettuce]] $8.75 +878 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +878 1 Chips and Guacamole NULL $4.45 +879 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream]] $9.25 +879 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $8.75 +879 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole]] $11.25 +879 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +880 1 Chips and Guacamole NULL $3.99 +880 1 Steak Bowl [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +880 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream]] $8.49 +881 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese, Guacamole]] $11.25 +881 1 Chicken Burrito [Fresh Tomato Salsa, [Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +881 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans]] $8.75 +882 1 Chips and Guacamole NULL $4.45 +882 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Lettuce]] $8.75 +883 1 Chips and Guacamole NULL $4.45 +883 1 Canned Soft Drink [Diet Coke] $1.25 +883 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Black Beans, Pinto Beans, Cheese, Lettuce]] $8.75 +884 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +884 1 Bottled Water NULL $1.50 +884 1 Chips NULL $2.15 +885 1 Carnitas Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans, Cheese, Lettuce, Guacamole]] $11.75 +885 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Pinto Beans, Cheese, Lettuce, Guacamole]] $11.75 +886 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +886 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +887 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese, Guacamole]] $11.75 +887 1 Bottled Water NULL $1.50 +888 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +888 1 Carnitas Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream, Lettuce]] $9.25 +888 1 Canned Soft Drink [Sprite] $1.25 +888 1 Chicken Burrito [Fresh Tomato Salsa, [Black Beans, Cheese, Sour Cream]] $8.75 +888 1 Chips NULL $2.15 +889 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Green Chili Salsa (Medium)], [Rice, Black Beans, Pinto Beans, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +889 1 Canned Soda [Mountain Dew] $1.09 +890 1 Chips and Guacamole NULL $4.45 +890 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.25 +890 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +891 1 Chips NULL $2.15 +891 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +891 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans]] $8.75 +892 1 Canned Soft Drink [Lemonade] $1.25 +892 1 Steak Bowl [Fresh Tomato Salsa] $9.25 +892 1 Chips NULL $2.15 +893 1 Steak Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +893 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Sour Cream, Guacamole, Lettuce]] $11.25 +894 1 Veggie Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +894 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +894 1 Chips and Guacamole NULL $4.45 +895 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Rice, Cheese, Lettuce]] $8.49 +895 1 Side of Chips NULL $1.69 +896 1 Veggie Salad Bowl [Roasted Chili Corn Salsa, Fajita Vegetables] $8.75 +896 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Pinto Beans, Sour Cream, Cheese]] $8.75 +897 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +897 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +898 1 Steak Crispy Tacos [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Lettuce]] $9.25 +898 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Guacamole]] $11.25 +898 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +899 1 Chips and Guacamole NULL $4.45 +899 1 Steak Crispy Tacos [Fresh Tomato Salsa, Guacamole] $11.75 +899 1 6 Pack Soft Drink [Coke] $6.49 +900 1 Carnitas Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Guacamole, Lettuce]] $11.48 +900 1 Steak Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Black Beans, Rice, Cheese, Sour Cream]] $8.99 +901 4 Canned Soda [Sprite] $4.36 +901 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Sour Cream, Guacamole, Lettuce]] $11.48 +901 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Cheese, Lettuce]] $8.99 +901 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +902 1 Carnitas Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Guacamole]] $11.48 +903 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +903 1 Chips NULL $2.15 +903 1 Bottled Water NULL $1.50 +904 1 Barbacoa Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream]] $8.99 +904 1 Side of Chips NULL $1.69 +905 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +905 1 Canned Soft Drink [Nestea] $1.25 +906 1 Carnitas Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +906 1 Barbacoa Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +907 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese]] $8.75 +907 1 Steak Soft Tacos [Roasted Chili Corn Salsa, [Black Beans, Sour Cream, Lettuce]] $9.25 +907 2 Chips and Guacamole NULL $8.90 +907 1 Chips NULL $2.15 +907 1 Barbacoa Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream]] $9.25 +908 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +908 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.49 +909 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream, Lettuce]] $8.75 +909 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $9.25 +909 2 Chips NULL $4.30 +910 1 Barbacoa Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +910 1 Chicken Bowl [Fresh Tomato Salsa] $8.75 +911 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese]] $8.75 +911 1 Chips NULL $2.15 +911 1 Canned Soft Drink [Diet Coke] $1.25 +912 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Lettuce]] $8.75 +912 1 Canned Soft Drink [Lemonade] $1.25 +912 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +912 2 Chips and Fresh Tomato Salsa NULL $5.90 +913 1 Carnitas Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +913 1 Veggie Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +913 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese]] $9.25 +913 1 Chips and Guacamole NULL $4.45 +914 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +914 1 Steak Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +915 2 Canned Soft Drink [Coke] $2.50 +915 1 Steak Bowl [Fresh Tomato Salsa, Rice] $9.25 +915 1 Chips NULL $2.15 +916 1 Steak Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $9.25 +916 1 Bottled Water NULL $1.50 +916 1 Canned Soft Drink [Coke] $1.25 +916 1 Veggie Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +916 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +916 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Lettuce]] $8.75 +916 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Lettuce]] $8.75 +916 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Cheese, Lettuce]] $8.75 +917 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream, Guacamole]] $10.98 +918 1 Chicken Burrito [Fresh Tomato Salsa, Rice] $8.75 +918 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Rice, Cheese]] $8.75 +919 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +919 1 Chips NULL $2.15 +919 1 Canned Soft Drink [Sprite] $1.25 +920 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +921 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +921 1 Chips NULL $2.15 +921 1 Bottled Water NULL $1.50 +922 1 Chicken Bowl [Roasted Chili Corn Salsa, [Cheese, Lettuce, Fajita Vegetables, Rice]] $8.75 +922 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +922 1 Canned Soft Drink [Sprite] $1.25 +923 1 Carnitas Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +923 1 Carnitas Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +924 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +924 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +925 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +925 1 Chips and Guacamole NULL $4.45 +926 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Lettuce]] $9.25 +926 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +926 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream]] $8.75 +926 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +926 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Lettuce]] $9.25 +926 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +926 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +926 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +926 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Lettuce]] $8.75 +926 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +926 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Rice, Sour Cream]] $8.75 +926 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +926 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +926 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream]] $9.25 +926 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +926 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Cheese]] $9.25 +926 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +926 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +926 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Cheese]] $8.75 +926 1 Barbacoa Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +926 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +926 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $9.25 +926 1 Veggie Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +927 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +927 1 Steak Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +928 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +928 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +928 1 Canned Soft Drink [Nestea] $1.25 +929 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +929 1 Bottled Water NULL $1.50 +930 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +930 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +931 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +931 1 Bottled Water NULL $1.50 +931 1 Chips NULL $2.15 +932 2 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Rice, Fajita Veggies]] $16.98 +933 1 Steak Bowl [Fresh Tomato Salsa, [Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +933 1 Bottled Water NULL $1.50 +934 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +934 2 Chips NULL $4.30 +934 1 Bottled Water NULL $1.50 +935 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +935 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +935 1 Canned Soft Drink [Nestea] $1.25 +936 1 Canned Soft Drink [Coke] $1.25 +936 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese]] $9.25 +936 1 Chips and Guacamole NULL $4.45 +937 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +937 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +937 1 Chips and Guacamole NULL $4.45 +938 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables]] $8.75 +938 1 Chips NULL $2.15 +938 1 Canned Soft Drink [Sprite] $1.25 +939 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Guacamole, Lettuce]] $10.98 +939 1 Side of Chips NULL $1.69 +940 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +940 1 Canned Soft Drink [Coke] $1.25 +940 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +940 1 Canned Soft Drink [Coke] $1.25 +941 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.25 +941 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +941 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +942 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +942 1 Side of Chips NULL $1.69 +943 1 Carnitas Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +943 1 Steak Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +944 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +944 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +945 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $9.25 +945 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +945 1 6 Pack Soft Drink [Sprite] $6.49 +945 1 Chicken Crispy Tacos [Tomatillo Red Chili Salsa, Cheese] $8.75 +946 1 Veggie Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +946 1 Steak Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $9.25 +946 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +947 2 Nantucket Nectar [Peach Orange] $6.78 +947 2 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Cheese, Lettuce]] $17.98 +947 1 Nantucket Nectar [Apple] $3.39 +948 1 Carnitas Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +948 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +948 1 Veggie Soft Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Black Beans, Pinto Beans, Cheese, Lettuce]] $8.75 +949 1 Chips and Guacamole NULL $4.45 +949 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Lettuce, Guacamole]] $11.75 +949 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Sour Cream, Cheese, Lettuce]] $9.25 +949 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Cheese]] $8.75 +949 1 6 Pack Soft Drink [Coke] $6.49 +950 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +950 1 Chips and Fresh Tomato Salsa NULL $2.39 +951 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Lettuce]] $8.75 +951 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole]] $11.25 +952 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +952 1 Chips and Guacamole NULL $4.45 +952 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +952 1 Chips NULL $2.15 +953 1 Barbacoa Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $9.25 +953 1 Barbacoa Bowl [Roasted Chili Corn Salsa, [Cheese, Lettuce]] $9.25 +953 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $9.25 +953 1 Steak Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Guacamole]] $11.89 +953 1 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Guacamole]] $11.75 +953 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Guacamole]] $11.25 +953 1 Carnitas Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $9.25 +953 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Lettuce]] $9.25 +954 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +954 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +955 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Lettuce]] $8.49 +955 1 Side of Chips NULL $1.69 +955 1 Bottled Water NULL $1.09 +956 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +956 1 Bottled Water NULL $1.50 +957 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +957 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.25 +958 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +958 1 Bottled Water NULL $1.50 +959 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Cheese, Lettuce]] $8.49 +959 1 Steak Crispy Tacos [Tomatillo-Red Chili Salsa (Hot), [Cheese, Lettuce]] $8.99 +960 2 Chicken Salad Bowl [Tomatillo Green Chili Salsa, [Black Beans, Cheese, Guacamole]] $22.50 +961 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice]] $8.75 +961 2 Chips NULL $4.30 +962 1 Chicken Crispy Tacos [Fresh Tomato Salsa, Fajita Vegetables] $8.75 +962 1 Chicken Salad Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole]] $11.25 +962 1 Chips NULL $2.15 +963 1 Veggie Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +963 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +964 1 Chips and Guacamole NULL $4.45 +964 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +965 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +965 1 Nantucket Nectar [Pomegranate Cherry] $3.39 +965 1 Chips and Fresh Tomato Salsa NULL $2.39 +966 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +966 1 Chips NULL $2.15 +966 1 Barbacoa Soft Tacos [Roasted Chili Corn Salsa, [Cheese, Sour Cream, Guacamole]] $11.75 +967 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +967 1 Chips and Fresh Tomato Salsa NULL $2.39 +968 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese]] $8.75 +968 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +969 1 Steak Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.89 +969 1 Canned Soft Drink [Diet Coke] $1.25 +970 5 Bottled Water NULL $7.50 +970 1 Barbacoa Salad Bowl [Tomatillo Green Chili Salsa, [Rice, Fajita Vegetables, Pinto Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.89 +971 1 Canned Soda [Coca Cola] $1.09 +971 1 Veggie Bowl [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +971 1 Chips and Fresh Tomato Salsa NULL $2.39 +972 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +972 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +972 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +973 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +973 1 Steak Soft Tacos [Tomatillo Red Chili Salsa, [Cheese, Sour Cream]] $9.25 +973 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +973 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Sour Cream, Lettuce]] $8.75 +973 2 Chips and Guacamole NULL $8.90 +974 1 Carnitas Burrito [Fresh Tomato Salsa, [Black Beans, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +974 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream, Lettuce]] $8.75 +975 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +975 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +975 2 Bottled Water NULL $3.00 +976 1 Bottled Water NULL $1.50 +976 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Guacamole]] $11.25 +976 1 Steak Crispy Tacos [Fresh Tomato Salsa, [Cheese, Guacamole]] $11.75 +977 1 Barbacoa Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Lettuce]] $8.99 +977 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Sour Cream, Guacamole]] $10.98 +978 1 Chips and Guacamole NULL $4.45 +978 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream]] $8.75 +978 1 Chips NULL $2.15 +979 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +979 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.25 +979 1 Chips and Guacamole NULL $4.45 +980 1 Side of Chips NULL $1.69 +980 1 Veggie Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Guacamole, Lettuce]] $10.98 +981 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +981 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +982 1 Steak Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $9.25 +982 1 Chips and Guacamole NULL $4.45 +983 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +983 1 Chips and Guacamole NULL $3.99 +983 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Pinto Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +984 1 Canned Soft Drink [Coke] $1.25 +984 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Pinto Beans, Sour Cream, Lettuce]] $9.25 +984 1 Chips and Guacamole NULL $4.45 +985 1 Veggie Burrito [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Guacamole, Lettuce]] $10.98 +986 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +986 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +987 1 Steak Burrito [Tomatillo Green Chili Salsa, [Lettuce, Guacamole, Sour Cream, Cheese, Fajita Vegetables, Rice]] $11.75 +987 1 Chicken Burrito [Roasted Chili Corn Salsa, [Guacamole, Sour Cream, Rice, Fajita Vegetables, Lettuce]] $11.25 +988 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Cheese, Lettuce]] $8.49 +988 1 Carnitas Bowl [[Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild)], [Pinto Beans, Cheese, Guacamole, Lettuce]] $11.48 +989 1 Chips and Guacamole NULL $4.45 +989 1 Canned Soft Drink [Diet Coke] $1.25 +989 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +990 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +990 1 Canned Soda [Coca Cola] $1.09 +990 1 Chips and Fresh Tomato Salsa NULL $2.39 +991 1 Chicken Bowl [Fresh Tomato Salsa, [Guacamole, Cheese, Sour Cream, Fajita Vegetables, Rice]] $11.25 +991 1 Chips NULL $2.15 +992 1 Chicken Bowl [Fresh Tomato Salsa, Cheese] $8.75 +992 1 Chips and Guacamole NULL $4.45 +993 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Cheese, Lettuce]] $8.49 +993 1 Side of Chips NULL $1.69 +994 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Guacamole, Lettuce]] $10.98 +994 1 Side of Chips NULL $1.69 +995 1 Steak Burrito [Fresh Tomato Salsa, [Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +995 1 Chips and Guacamole NULL $4.45 +995 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Guacamole, Lettuce]] $11.25 +996 1 Chicken Soft Tacos [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Cheese, Lettuce]] $8.75 +996 1 Chicken Crispy Tacos [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +996 1 Steak Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +996 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +997 2 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Guacamole]] $22.50 +998 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream, Lettuce]] $8.49 +998 1 Chips and Fresh Tomato Salsa NULL $2.39 +999 2 Canned Soft Drink [Sprite] $2.50 +999 1 Chicken Soft Tacos [Tomatillo Green Chili Salsa, [Rice, Fajita Vegetables, Cheese, Lettuce]] $8.75 +999 1 Chicken Crispy Tacos [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Cheese, Lettuce]] $8.75 +999 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Cheese, Lettuce]] $9.25 +1000 1 Barbacoa Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1000 1 Chicken Bowl [Fresh Tomato Salsa, [Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1001 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +1001 1 Canned Soda [Coca Cola] $1.09 +1002 1 Barbacoa Burrito [[Tomatillo-Green Chili Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1002 1 Side of Chips NULL $1.69 +1003 1 Carnitas Burrito [Tomatillo Red Chili Salsa, [Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +1003 1 Canned Soft Drink [Diet Coke] $1.25 +1004 2 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Rice, Fajita Veggies, Pinto Beans, Sour Cream, Cheese, Guacamole]] $21.96 +1005 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +1005 1 Chips NULL $2.15 +1005 1 Canned Soft Drink [Coke] $1.25 +1006 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Sour Cream, Lettuce]] $8.75 +1006 1 Veggie Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1006 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1006 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1006 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1006 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1006 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole]] $11.25 +1006 1 Chips NULL $2.15 +1007 1 Carnitas Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Cheese]] $8.99 +1007 1 Canned Soda [Diet Dr. Pepper] $1.09 +1007 1 Side of Chips NULL $1.69 +1008 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +1008 1 Chips NULL $2.15 +1008 1 Canned Soft Drink [Sprite] $1.25 +1009 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Lettuce]] $8.49 +1009 1 Canned Soda [Diet Coke] $1.09 +1009 1 Bottled Water NULL $1.09 +1009 1 Side of Chips NULL $1.69 +1010 1 Carnitas Bowl [[Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild)], [Rice, Pinto Beans, Cheese, Guacamole]] $11.48 +1010 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Rice, Black Beans, Cheese, Lettuce]] $8.49 +1010 1 Chicken Crispy Tacos [Fresh Tomato Salsa (Mild), [Rice, Cheese, Lettuce]] $8.49 +1010 2 Chips and Tomatillo-Red Chili Salsa NULL $4.78 +1011 1 Carnitas Soft Tacos [Roasted Chili Corn Salsa, [Lettuce, Sour Cream, Cheese, Rice]] $9.25 +1011 1 Canned Soft Drink [Coke] $1.25 +1011 1 Canned Soft Drink [Coke] $1.25 +1011 1 Canned Soft Drink [Coke] $1.25 +1012 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1012 1 Chicken Crispy Tacos [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1013 1 Carnitas Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1013 1 Chips and Guacamole NULL $4.45 +1013 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1013 1 Chips and Guacamole NULL $4.45 +1014 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Cheese, Rice, Pinto Beans, Sour Cream]] $8.99 +1014 1 Canned Soda [Coca Cola] $1.09 +1015 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Cheese, Guacamole, Lettuce]] $11.25 +1015 1 Chips NULL $2.15 +1016 1 Veggie Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +1016 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese]] $9.25 +1016 1 Carnitas Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1017 1 Veggie Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +1017 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Sour Cream, Guacamole]] $11.25 +1018 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream]] $9.25 +1018 1 Chips and Fresh Tomato Salsa NULL $2.95 +1019 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1019 1 Chips and Guacamole NULL $4.45 +1020 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +1020 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1020 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1021 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +1021 1 Bottled Water NULL $1.50 +1022 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Cheese, Sour Cream, Guacamole]] $10.98 +1023 2 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Rice, Fajita Veggies]] $16.98 +1024 2 Carnitas Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $18.50 +1025 1 Chicken Bowl [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole]] $10.98 +1025 1 Chips and Guacamole NULL $3.99 +1025 1 Canned Soda [Mountain Dew] $1.09 +1026 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +1026 1 Carnitas Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1026 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $8.75 +1026 1 Chips and Guacamole NULL $4.45 +1027 2 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $17.50 +1028 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1028 1 Chips and Guacamole NULL $4.45 +1029 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1029 1 Canned Soft Drink [Diet Coke] $1.25 +1029 1 Chips and Guacamole NULL $4.45 +1030 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Cheese]] $9.25 +1030 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1030 1 Chicken Bowl [Tomatillo Red Chili Salsa, Fajita Vegetables] $8.75 +1031 2 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $17.50 +1031 1 Chips and Guacamole NULL $4.45 +1032 1 Steak Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Lettuce]] $9.39 +1032 1 Canned Soft Drink [Diet Coke] $1.25 +1032 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +1033 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Guacamole, Lettuce]] $11.25 +1033 1 Chicken Crispy Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Lettuce]] $8.75 +1033 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +1034 1 Chicken Bowl [Fresh Tomato Salsa, [Sour Cream, Fajita Vegetables, Rice, Guacamole, Cheese]] $11.25 +1034 1 Chips NULL $2.15 +1035 2 Chips and Guacamole NULL $8.90 +1035 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1035 1 Carnitas Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.89 +1036 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +1037 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +1037 1 Chips and Guacamole NULL $4.45 +1038 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +1038 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.25 +1039 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Cheese, Lettuce]] $8.49 +1039 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Black Beans, Fajita Veggies, Guacamole]] $10.98 +1040 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Lettuce]] $8.49 +1040 1 Izze [Clementine] $3.39 +1041 1 Barbacoa Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Lettuce]] $9.25 +1041 1 Chicken Bowl [Tomatillo Red Chili Salsa, Rice] $8.75 +1041 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1042 2 Bottled Water NULL $3.00 +1042 1 Steak Salad Bowl [Fresh Tomato Salsa, [Black Beans, Sour Cream, Cheese, Lettuce]] $9.39 +1043 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Pinto Beans, Cheese, Guacamole]] $11.75 +1043 1 Chips and Fresh Tomato Salsa NULL $2.95 +1044 1 Bottled Water NULL $1.50 +1044 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Cheese, Guacamole]] $11.25 +1044 1 Steak Crispy Tacos [Fresh Tomato Salsa, [Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1045 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +1045 1 Chips NULL $2.15 +1045 1 Bottled Water NULL $1.50 +1046 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Lettuce]] $8.49 +1046 1 Izze [Clementine] $3.39 +1047 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.75 +1047 1 Canned Soft Drink [Diet Coke] $1.25 +1048 2 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $17.50 +1049 1 Veggie Burrito [Fresh Tomato Salsa, [Cheese, Sour Cream, Guacamole]] $11.25 +1049 1 Canned Soft Drink [Nestea] $1.25 +1050 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +1050 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1050 1 Canned Soft Drink [Lemonade] $1.25 +1051 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +1051 1 Steak Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +1051 3 Chips and Guacamole NULL $13.35 +1051 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1051 1 Carnitas Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1052 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.25 +1052 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1052 1 Chips and Guacamole NULL $4.45 +1052 1 Chicken Crispy Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Sour Cream, Guacamole]] $11.25 +1053 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1053 1 Nantucket Nectar [Pineapple Orange Banana] $3.39 +1054 1 Steak Soft Tacos [Fresh Tomato Salsa, [Cheese, Lettuce]] $9.25 +1054 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1055 2 Chips and Tomatillo-Green Chili Salsa NULL $4.78 +1055 1 Chips and Fresh Tomato Salsa NULL $2.39 +1055 1 Chips and Guacamole NULL $3.99 +1056 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +1056 1 Barbacoa Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +1057 1 Chicken Soft Tacos [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1057 1 Chicken Soft Tacos [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1057 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $8.75 +1058 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1058 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1058 1 Chips and Guacamole NULL $4.45 +1059 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $9.25 +1059 1 Chicken Crispy Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese]] $8.75 +1059 1 Chips and Guacamole NULL $4.45 +1060 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Fajita Veggies, Lettuce]] $8.49 +1060 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1061 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Rice, Black Beans, Sour Cream, Guacamole]] $10.98 +1062 1 Veggie Bowl [Fresh Tomato Salsa (Mild), [Pinto Beans, Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +1062 1 Chips and Guacamole NULL $3.99 +1063 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Sour Cream, Guacamole, Lettuce]] $11.75 +1063 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese]] $8.75 +1064 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Guacamole, Lettuce]] $11.75 +1064 1 Chips and Guacamole NULL $4.45 +1064 1 Bottled Water NULL $1.50 +1064 1 Canned Soft Drink [Sprite] $1.25 +1065 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Cheese, Lettuce]] $8.49 +1065 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1066 1 Veggie Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Lettuce]] $8.75 +1066 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1067 1 Veggie Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese]] $8.75 +1067 1 Carnitas Burrito [Fresh Tomato Salsa, [Cheese, Lettuce]] $9.25 +1068 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese]] $8.75 +1068 1 Chips and Fresh Tomato Salsa NULL $2.95 +1068 1 Canned Soft Drink [Diet Coke] $1.25 +1069 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Guacamole]] $11.25 +1069 1 Bottled Water NULL $1.50 +1070 1 Chicken Burrito [Fresh Tomato Salsa, [Sour Cream, Cheese, Guacamole, Rice]] $11.25 +1070 1 Chips and Guacamole NULL $4.45 +1070 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Lettuce]] $9.25 +1070 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Cheese]] $8.75 +1071 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +1071 1 Carnitas Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1071 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1071 1 Chips and Guacamole NULL $4.45 +1071 1 Bottled Water NULL $1.50 +1072 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Lettuce]] $8.75 +1072 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Sour Cream, Lettuce]] $8.75 +1073 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1073 1 Side of Chips NULL $1.69 +1074 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream, Lettuce]] $8.75 +1074 1 Chips NULL $2.15 +1074 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $9.25 +1074 1 Chips NULL $2.15 +1075 1 Bottled Water NULL $1.50 +1075 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +1076 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Guacamole]] $11.75 +1076 1 Chips NULL $2.15 +1076 1 6 Pack Soft Drink [Coke] $6.49 +1077 1 Steak Burrito [Roasted Chili Corn Salsa, [Cheese, Black Beans, Lettuce]] $9.25 +1077 1 Carnitas Soft Tacos [Roasted Chili Corn Salsa, [Cheese, Lettuce]] $9.25 +1078 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1078 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1079 1 Barbacoa Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +1079 1 Carnitas Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +1080 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1080 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1081 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1081 1 Chips NULL $2.15 +1081 1 Canned Soft Drink [Nestea] $1.25 +1082 1 Carnitas Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1082 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese]] $9.25 +1082 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Guacamole, Lettuce]] $11.25 +1083 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Cheese, Lettuce]] $8.75 +1083 2 Chips and Fresh Tomato Salsa NULL $5.90 +1084 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1084 1 Chips and Guacamole NULL $4.45 +1085 1 Steak Soft Tacos [Fresh Tomato Salsa, Sour Cream] $9.25 +1085 1 Carnitas Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1085 1 Chips and Guacamole NULL $4.45 +1086 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +1086 1 Chips and Guacamole NULL $4.45 +1087 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1087 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1087 1 Chips NULL $2.15 +1088 1 Steak Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Cheese, Sour Cream, Guacamole]] $11.89 +1088 1 Chicken Bowl [Fresh Tomato Salsa, [Pinto Beans, Cheese, Guacamole]] $11.25 +1089 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +1089 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1089 1 Bottled Water NULL $1.50 +1090 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice]] $8.75 +1090 2 Chips NULL $4.30 +1091 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +1091 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Guacamole, Lettuce]] $11.25 +1091 1 Barbacoa Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1092 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Guacamole]] $11.75 +1092 1 Chips NULL $2.15 +1092 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Guacamole]] $11.25 +1093 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1093 1 Bottled Water NULL $1.09 +1094 1 Veggie Burrito [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +1094 1 Veggie Salad [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +1095 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1095 1 Izze [Blackberry] $3.39 +1095 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Fajita Veggies, Cheese]] $8.99 +1096 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +1096 1 Chips and Guacamole NULL $3.99 +1097 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1097 1 Chips NULL $2.15 +1097 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese]] $8.75 +1097 1 Chips and Guacamole NULL $4.45 +1097 2 Canned Soft Drink [Diet Coke] $2.50 +1098 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Cheese, Guacamole]] $11.48 +1098 1 Canned Soda [Sprite] $1.09 +1099 1 Chicken Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1099 1 Chicken Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Pinto Beans, Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1100 2 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Rice, Fajita Veggies]] $16.98 +1101 1 Chips and Guacamole NULL $3.99 +1101 1 Veggie Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +1101 1 Canned Soda [Sprite] $1.09 +1102 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese]] $8.75 +1102 1 Chips and Fresh Tomato Salsa NULL $2.95 +1102 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans]] $8.75 +1103 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream]] $8.75 +1103 1 Chips and Fresh Tomato Salsa NULL $2.95 +1103 1 Barbacoa Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +1104 1 Chicken Bowl [Fresh Tomato Salsa, [Cheese, Guacamole, Sour Cream, Fajita Vegetables, Rice]] $11.25 +1104 1 Chips NULL $2.15 +1105 1 Steak Burrito [Fresh Tomato Salsa, [Pinto Beans, Cheese, Sour Cream]] $9.25 +1105 1 Chips and Guacamole NULL $4.45 +1106 1 Chips and Guacamole NULL $4.45 +1106 1 Barbacoa Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $9.25 +1106 1 Barbacoa Crispy Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Lettuce, Guacamole]] $11.75 +1107 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Guacamole]] $11.75 +1107 1 Chips NULL $2.15 +1108 1 Carnitas Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1108 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1109 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Sour Cream, Guacamole, Lettuce]] $11.25 +1109 1 6 Pack Soft Drink [Diet Coke] $6.49 +1110 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +1110 1 Veggie Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1110 1 Chips and Fresh Tomato Salsa NULL $2.95 +1111 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Cheese, Sour Cream, Guacamole]] $10.98 +1111 1 Chips and Guacamole NULL $3.99 +1112 1 Bottled Water NULL $1.50 +1112 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $9.25 +1112 1 Chips NULL $2.15 +1113 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Lettuce]] $8.75 +1113 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole, Lettuce]] $11.25 +1114 1 Steak Salad Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.89 +1114 1 Chips and Guacamole NULL $4.45 +1114 1 Bottled Water NULL $1.50 +1114 1 Canned Soft Drink [Coke] $1.25 +1115 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1115 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1115 1 Chips and Guacamole NULL $4.45 +1116 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Cheese, Guacamole]] $11.25 +1116 1 Steak Crispy Tacos [Roasted Chili Corn Salsa, [Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1117 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Lettuce]] $8.49 +1117 1 Canned Soda [Diet Dr. Pepper] $1.09 +1117 1 Bottled Water NULL $1.09 +1117 1 Side of Chips NULL $1.69 +1118 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1118 1 Nantucket Nectar [Apple] $3.39 +1119 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1119 1 Side of Chips NULL $1.69 +1120 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1120 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +1121 3 Bottled Water NULL $3.27 +1121 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Pinto Beans, Black Beans, Rice, Fajita Veggies, Lettuce]] $8.99 +1122 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1122 1 Canned Soda [Coca Cola] $1.09 +1123 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +1123 1 Side of Chips NULL $1.69 +1124 1 Chips and Guacamole NULL $3.99 +1124 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Cheese, Sour Cream]] $8.49 +1124 1 Canned Soda [Coca Cola] $1.09 +1125 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +1125 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +1126 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Sour Cream, Guacamole, Lettuce]] $11.75 +1126 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese]] $8.75 +1127 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $9.25 +1127 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1128 1 Nantucket Nectar [Peach Orange] $3.39 +1128 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.99 +1128 1 Steak Soft Tacos [Tomatillo-Green Chili Salsa (Medium), [Cheese, Sour Cream]] $8.99 +1128 1 Chips and Fresh Tomato Salsa NULL $2.39 +1129 1 Steak Crispy Tacos [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1129 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +1130 1 Steak Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream]] $9.25 +1130 1 Steak Burrito [Tomatillo Red Chili Salsa, [Cheese, Sour Cream]] $9.25 +1131 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Rice, Black Beans, Cheese, Lettuce]] $8.99 +1131 1 Chips and Guacamole NULL $3.99 +1131 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +1132 1 Veggie Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1132 1 Canned Soda [Diet Coke] $1.09 +1132 1 Veggie Soft Tacos [Roasted Chili Corn Salsa (Medium), [Black Beans, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1133 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1133 1 Nantucket Nectar [Apple] $3.39 +1134 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Lettuce, Guacamole]] $11.25 +1134 1 Canned Soft Drink [Diet Coke] $1.25 +1135 1 Steak Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium)], [Rice, Black Beans, Fajita Veggies, Cheese, Sour Cream]] $8.99 +1135 1 Chips and Guacamole NULL $3.99 +1136 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Sour Cream, Lettuce]] $8.75 +1136 2 Chips and Guacamole NULL $8.90 +1136 1 6 Pack Soft Drink [Diet Coke] $6.49 +1137 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1137 1 Steak Crispy Tacos [Tomatillo Red Chili Salsa, [Cheese, Sour Cream]] $9.25 +1138 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Guacamole, Lettuce]] $11.25 +1138 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Sour Cream, Guacamole, Lettuce]] $11.25 +1139 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Guacamole, Lettuce]] $11.25 +1139 1 Canned Soft Drink [Sprite] $1.25 +1140 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream]] $8.75 +1140 1 Steak Bowl [Roasted Chili Corn Salsa, [Black Beans, Pinto Beans, Cheese, Sour Cream]] $9.25 +1140 1 Chips and Guacamole NULL $4.45 +1140 1 Canned Soft Drink [Coke] $1.25 +1141 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream]] $8.75 +1141 1 Canned Soft Drink [Coke] $1.25 +1141 1 Chips NULL $2.15 +1142 2 Steak Crispy Tacos [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Cheese, Sour Cream, Lettuce]] $17.98 +1142 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.99 +1143 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Lettuce]] $8.75 +1143 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1143 1 Canned Soft Drink [Coke] $1.25 +1144 1 Steak Soft Tacos [Fresh Tomato Salsa, [Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1144 1 Bottled Water NULL $1.50 +1144 1 Bottled Water NULL $1.50 +1145 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans]] $8.75 +1145 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +1146 1 Carnitas Burrito [Fresh Tomato (Mild), [Lettuce, Black Beans, Guacamole, Rice, Sour Cream, Cheese]] $11.08 +1147 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1147 1 Side of Chips NULL $1.69 +1148 1 Carnitas Bowl [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1148 1 Side of Chips NULL $1.69 +1149 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Cheese, Guacamole]] $10.98 +1149 1 Chips and Guacamole NULL $3.99 +1149 1 Izze [Blackberry] $3.39 +1150 1 Steak Bowl [Roasted Chili Corn Salsa, [Pinto Beans, Rice, Cheese, Sour Cream, Guacamole]] $11.75 +1150 1 Chips NULL $2.15 +1151 1 Steak Burrito [Fresh Tomato Salsa, [Sour Cream, Rice, Guacamole, Lettuce]] $11.75 +1151 1 Chips and Fresh Tomato Salsa NULL $2.95 +1152 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +1152 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, Cheese] $8.75 +1153 1 Carnitas Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1153 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1154 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1154 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1154 1 Chips and Guacamole NULL $4.45 +1155 1 Veggie Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1155 1 Canned Soft Drink [Diet Coke] $1.25 +1156 2 Canned Soda [Coca Cola] $2.18 +1156 2 Canned Soda [Sprite] $2.18 +1156 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +1156 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa (Medium), [Cheese, Sour Cream, Lettuce]] $8.49 +1156 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1156 1 Chips and Fresh Tomato Salsa NULL $2.39 +1157 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole, Lettuce]] $11.25 +1157 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $8.75 +1158 1 Carnitas Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans, Cheese, Lettuce, Guacamole]] $11.75 +1158 1 Carnitas Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans, Lettuce, Guacamole]] $11.75 +1159 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1159 1 Chips and Guacamole NULL $4.45 +1159 1 Chips NULL $2.15 +1160 1 Chicken Bowl [Fresh Tomato (Mild), [Rice, Sour Cream, Cheese]] $8.19 +1160 1 Chicken Bowl [Fresh Tomato (Mild), [Guacamole, Rice]] $10.58 +1161 1 Chips and Guacamole NULL $4.45 +1161 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $9.25 +1162 1 Bottled Water NULL $1.09 +1162 1 Steak Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Pinto Beans, Fajita Veggies, Lettuce]] $8.99 +1163 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1163 1 Bottled Water NULL $1.50 +1164 1 Carnitas Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1164 1 Chips and Guacamole NULL $3.99 +1165 1 Chips and Guacamole NULL $4.45 +1165 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Guacamole]] $11.75 +1165 1 Chips NULL $2.15 +1166 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1166 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream, Lettuce]] $8.75 +1166 1 Chips and Guacamole NULL $4.45 +1167 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese]] $8.75 +1167 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $9.25 +1167 3 Chips NULL $6.45 +1167 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream, Lettuce]] $8.75 +1168 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1168 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1169 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +1169 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1170 2 Chicken Bowl [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $21.96 +1170 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Fajita Veggies, Cheese]] $8.99 +1170 3 Side of Chips NULL $5.07 +1170 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium)], [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1171 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Lettuce]] $9.25 +1171 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Cheese, Guacamole]] $11.25 +1171 1 Chips and Guacamole NULL $4.45 +1172 1 Nantucket Nectar [Peach Orange] $3.39 +1172 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1173 1 Carnitas Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1173 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1174 2 Chicken Burrito [Fresh Tomato Salsa, [Cheese, Rice, Black Beans, Lettuce]] $17.50 +1175 2 Steak Burrito [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $22.96 +1176 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +1176 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1176 1 Steak Salad Bowl [Fresh Tomato Salsa, [Black Beans, Cheese, Guacamole, Lettuce]] $11.89 +1176 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Guacamole]] $11.25 +1177 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese]] $8.49 +1177 1 Side of Chips NULL $1.69 +1177 1 Canned Soda [Sprite] $1.09 +1178 1 Barbacoa Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1178 1 Steak Crispy Tacos [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1179 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $9.25 +1179 1 Chicken Crispy Tacos [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +1180 1 Barbacoa Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Lettuce]] $9.25 +1180 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +1181 1 Chicken Salad [Fresh Tomato Salsa (Mild), Black Beans] $8.49 +1181 1 Chips and Guacamole NULL $3.99 +1182 1 Steak Bowl [Tomatillo-Green Chili Salsa (Medium), [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.99 +1182 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Rice, Black Beans, Cheese, Lettuce]] $8.49 +1182 3 Chips and Tomatillo-Red Chili Salsa NULL $7.17 +1182 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Rice, Black Beans, Cheese, Lettuce]] $8.49 +1182 1 Steak Bowl [Tomatillo-Red Chili Salsa (Hot), [Rice, Black Beans, Cheese]] $8.99 +1183 2 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $17.50 +1184 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1184 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1185 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +1185 1 Canned Soft Drink [Coke] $1.25 +1186 1 Carnitas Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Lettuce]] $8.99 +1186 1 Bottled Water NULL $1.09 +1187 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1187 1 Chips and Guacamole NULL $4.45 +1188 1 Chicken Bowl [Fresh Tomato Salsa, [Sour Cream, Fajita Vegetables, Rice, Guacamole, Cheese]] $11.25 +1188 1 Chips NULL $2.15 +1188 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1189 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Guacamole]] $11.25 +1189 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Guacamole]] $11.25 +1189 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1190 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream]] $8.75 +1190 1 Chips and Guacamole NULL $4.45 +1190 1 Canned Soft Drink [Diet Coke] $1.25 +1191 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +1191 1 Steak Burrito [Fresh Tomato Salsa, [Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +1191 2 Canned Soft Drink [Sprite] $2.50 +1192 1 Veggie Salad [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1192 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream]] $8.99 +1192 2 Bottled Water NULL $2.18 +1193 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1193 1 Chips and Guacamole NULL $4.45 +1193 1 Chicken Salad Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Guacamole, Lettuce]] $11.25 +1193 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +1194 1 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild)], [Rice, Pinto Beans, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1194 1 Carnitas Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild)], [Rice, Pinto Beans, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +1194 1 Side of Chips NULL $1.69 +1195 1 Canned Soda [Coca Cola] $1.09 +1195 1 Steak Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +1195 1 Barbacoa Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +1196 1 Chicken Bowl [Fresh Tomato Salsa, [Sour Cream, Guacamole, Lettuce]] $11.25 +1196 1 6 Pack Soft Drink [Diet Coke] $6.49 +1196 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1197 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1197 1 Chips and Guacamole NULL $4.45 +1198 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1198 1 Side of Chips NULL $1.69 +1199 1 Steak Bowl [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream, Guacamole]] $11.48 +1200 1 Barbacoa Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +1200 2 Canned Soft Drink [Diet Coke] $2.50 +1201 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Cheese, Lettuce, Rice, Black Beans]] $8.49 +1201 1 Canned Soda [Diet Dr. Pepper] $1.09 +1201 1 Bottled Water NULL $1.09 +1201 1 Side of Chips NULL $1.69 +1202 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1202 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +1203 1 Barbacoa Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Guacamole]] $11.75 +1203 1 Canned Soft Drink [Sprite] $1.25 +1204 1 Chicken Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Rice, Fajita Veggies, Cheese, Lettuce]] $8.49 +1204 1 Side of Chips NULL $1.69 +1205 1 Veggie Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1205 1 Side of Chips NULL $1.69 +1206 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Guacamole]] $11.75 +1206 1 Chips and Guacamole NULL $4.45 +1206 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Cheese, Lettuce]] $8.75 +1207 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +1207 1 Chips and Guacamole NULL $4.45 +1208 1 Veggie Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +1208 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1209 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole, Lettuce]] $11.25 +1209 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +1210 2 Chips and Guacamole NULL $7.98 +1210 1 Chicken Crispy Tacos [Fresh Tomato Salsa (Mild), Fajita Veggies] $8.49 +1210 1 Bottled Water NULL $1.09 +1211 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Cheese, Sour Cream, Lettuce]] $8.49 +1211 1 Chips and Guacamole NULL $3.99 +1212 1 Chicken Salad [Fresh Tomato Salsa (Mild), Black Beans] $8.49 +1212 1 Chips and Guacamole NULL $3.99 +1213 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1213 1 Chips and Guacamole NULL $3.99 +1214 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Guacamole]] $11.25 +1214 1 Chips and Guacamole NULL $4.45 +1215 1 Chicken Bowl [[Tomatillo-Red Chili Salsa (Hot), Tomatillo-Green Chili Salsa (Medium)], [Rice, Black Beans, Lettuce]] $8.49 +1215 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +1216 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1216 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +1217 1 Chips and Guacamole NULL $3.99 +1217 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +1218 1 Canned Soft Drink [Coke] $1.25 +1218 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Sour Cream, Cheese, Guacamole]] $11.25 +1218 1 Chips and Guacamole NULL $4.45 +1219 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1219 1 Chips and Guacamole NULL $4.45 +1220 1 Canned Soda [Dr. Pepper] $1.09 +1220 1 Steak Burrito [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Cheese]] $8.99 +1220 1 Chips and Guacamole NULL $3.99 +1221 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1221 2 Chips and Guacamole NULL $8.90 +1221 1 Carnitas Soft Tacos [Tomatillo Green Chili Salsa, [Cheese, Sour Cream, Lettuce]] $9.25 +1222 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1222 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Cheese, Lettuce]] $8.75 +1223 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole, Lettuce]] $11.25 +1223 1 Chicken Soft Tacos [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1223 1 Chicken Crispy Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1224 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1224 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1225 1 Steak Crispy Tacos [Fresh Tomato Salsa (Mild), [Cheese, Sour Cream, Lettuce]] $8.99 +1225 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1226 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa, [Cheese, Sour Cream]] $8.75 +1226 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa, [Cheese, Sour Cream, Lettuce]] $8.75 +1226 1 Chips and Guacamole NULL $4.45 +1227 2 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Rice, Fajita Veggies]] $16.98 +1228 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1228 1 Veggie Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole, Lettuce]] $11.25 +1228 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +1228 1 Chips and Guacamole NULL $4.45 +1229 1 Steak Crispy Tacos [Fresh Tomato Salsa, [Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1229 1 Chips and Fresh Tomato Salsa NULL $2.95 +1230 1 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Fajita Veggies, Lettuce, Rice, Black Beans]] $8.49 +1230 1 Side of Chips NULL $1.69 +1231 3 Canned Soft Drink [Diet Coke] $3.75 +1231 1 Chips and Guacamole NULL $4.45 +1231 1 Steak Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1232 1 Bottled Water NULL $1.50 +1232 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Sour Cream, Cheese, Guacamole, Lettuce, Black Beans, Rice]] $11.25 +1233 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +1234 1 Veggie Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Guacamole, Lettuce]] $11.25 +1234 1 Chips NULL $2.15 +1235 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1235 1 Steak Salad Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.39 +1236 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese]] $8.49 +1236 1 Chips and Guacamole NULL $3.99 +1237 1 Chicken Bowl [Fresh Tomato (Mild), [Lettuce, Fajita Veggies, Black Beans, Rice, Sour Cream, Cheese]] $8.19 +1237 1 Chips and Fresh Tomato Salsa NULL $2.29 +1238 1 Carnitas Bowl [Roasted Chili Corn Salsa (Medium), [Pinto Beans, Rice, Cheese, Guacamole, Lettuce]] $11.48 +1238 1 Side of Chips NULL $1.69 +1239 1 Steak Soft Tacos [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium)], [Rice, Fajita Veggies, Cheese, Guacamole, Lettuce]] $11.48 +1239 1 Chips and Guacamole NULL $3.99 +1240 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1240 1 Side of Chips NULL $1.69 +1241 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1241 1 Chips and Fresh Tomato Salsa NULL $2.95 +1242 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1242 1 Side of Chips NULL $1.69 +1243 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole, Lettuce]] $11.25 +1243 1 Chips and Guacamole NULL $4.45 +1243 1 Carnitas Salad Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.39 +1243 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +1243 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1244 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese]] $8.75 +1244 1 Chips and Guacamole NULL $4.45 +1244 1 Steak Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.89 +1244 1 Chips and Guacamole NULL $4.45 +1245 1 Chips and Guacamole NULL $4.45 +1245 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +1246 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream, Lettuce]] $8.75 +1246 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese]] $8.75 +1246 1 Chips NULL $2.15 +1247 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Sour Cream, Cheese, Rice]] $8.75 +1247 3 Canned Soft Drink [Diet Coke] $3.75 +1248 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $9.25 +1248 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Cheese, Guacamole]] $11.25 +1248 1 Chips and Guacamole NULL $4.45 +1248 1 6 Pack Soft Drink [Diet Coke] $6.49 +1249 2 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Fajita Veggies, Rice]] $16.98 +1250 2 Steak Burrito [Tomatillo Red Chili Salsa, [Cheese, Black Beans, Rice, Lettuce, Sour Cream]] $18.50 +1250 2 Canned Soft Drink [Coke] $2.50 +1250 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1251 1 Chips and Guacamole NULL $3.99 +1251 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1252 1 Chicken Burrito [[Rice, Cheese]] $8.19 +1252 1 Steak Burrito [Fresh Tomato (Mild), [Black Beans, Guacamole, Rice, Sour Cream, Cheese]] $11.08 +1253 1 6 Pack Soft Drink [Lemonade] $6.49 +1253 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.75 +1254 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +1254 1 Steak Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.99 +1254 1 Canned Soda [Diet Dr. Pepper] $1.09 +1255 1 Veggie Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Guacamole]] $11.25 +1255 1 Chips and Guacamole NULL $4.45 +1255 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole]] $11.25 +1256 1 Barbacoa Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1256 1 Side of Chips NULL $1.69 +1257 2 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole]] $21.96 +1258 2 Canned Soda [Dr. Pepper] $2.18 +1258 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Green Chili Salsa (Medium)], [Rice, Black Beans, Sour Cream]] $8.99 +1259 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1259 1 Chips and Fresh Tomato Salsa NULL $2.39 +1260 1 Barbacoa Burrito [[Black Beans, Rice, Cheese]] $8.69 +1260 1 Side of Chips NULL $1.69 +1261 2 Chips and Guacamole NULL $8.90 +1261 2 Canned Soft Drink [Diet Coke] $2.50 +1261 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese]] $8.75 +1262 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild)], [Rice, Pinto Beans, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +1262 1 Canned Soda [Coca Cola] $1.09 +1263 1 Veggie Salad [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +1263 1 Veggie Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +1264 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1264 1 Chips and Guacamole NULL $4.45 +1265 2 Chicken Salad Bowl [Fresh Tomato Salsa, [Pinto Beans, Cheese, Lettuce]] $17.50 +1266 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Lettuce]] $8.75 +1266 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Lettuce]] $9.25 +1267 1 Chicken Burrito [[Tomatillo-Red Chili Salsa (Hot), Tomatillo-Green Chili Salsa (Medium)], [Rice, Black Beans, Cheese, Lettuce]] $8.49 +1267 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +1268 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1268 1 Chips and Guacamole NULL $4.45 +1269 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Lettuce, Pinto Beans, Black Beans, Guacamole, Cheese]] $11.25 +1269 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Pinto Beans, Cheese, Sour Cream, Guacamole, Fajita Vegetables, Rice, Black Beans, Lettuce]] $11.25 +1270 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Sour Cream, Guacamole, Lettuce]] $11.75 +1270 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese]] $8.75 +1271 1 Chicken Bowl [Fresh Tomato Salsa (Mild), Lettuce] $8.49 +1271 1 Chicken Bowl [Fresh Tomato Salsa (Mild), Cheese] $8.49 +1271 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), Cheese] $8.49 +1271 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), Lettuce] $8.99 +1272 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +1272 1 Chips and Guacamole NULL $4.45 +1273 1 Barbacoa Soft Tacos [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Guacamole]] $11.48 +1274 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1274 1 Canned Soft Drink [Coke] $1.25 +1274 1 Chips NULL $2.15 +1275 1 Steak Burrito [Fresh Tomato Salsa, [Pinto Beans, Cheese, Sour Cream]] $9.25 +1275 1 Chips and Guacamole NULL $4.45 +1276 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Guacamole]] $11.75 +1276 1 Chips NULL $2.15 +1276 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa, [Rice, Sour Cream, Cheese, Guacamole]] $11.25 +1277 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Pinto Beans, Cheese, Lettuce]] $8.99 +1277 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +1278 1 Barbacoa Bowl [Fresh Tomato (Mild), [Lettuce, Black Beans, Rice]] $8.69 +1278 1 Steak Bowl [Fresh Tomato (Mild), [Lettuce, Black Beans, Rice]] $8.69 +1279 1 Steak Burrito [Fresh Tomato Salsa, [Guacamole, Lettuce, Sour Cream, Rice]] $11.75 +1279 1 Chips and Fresh Tomato Salsa NULL $2.95 +1280 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +1280 1 Bottled Water NULL $1.50 +1281 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +1281 1 Chips and Guacamole NULL $4.45 +1281 1 Bottled Water NULL $1.50 +1282 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole]] $11.48 +1282 1 Steak Soft Tacos [Fresh Tomato Salsa (Mild), [Cheese, Sour Cream]] $8.99 +1282 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +1283 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.25 +1283 1 Barbacoa Salad Bowl [Tomatillo Red Chili Salsa, [Black Beans, Cheese, Sour Cream, Guacamole]] $11.89 +1283 1 Chips NULL $2.15 +1283 1 Canned Soft Drink [Diet Coke] $1.25 +1284 1 Barbacoa Soft Tacos [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1284 1 Chips and Guacamole NULL $4.45 +1285 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Lettuce]] $8.75 +1285 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Lettuce]] $8.75 +1286 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1286 1 Chips and Guacamole NULL $4.45 +1287 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1287 1 Chips NULL $2.15 +1287 1 Chips and Guacamole NULL $4.45 +1288 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Sour Cream]] $8.49 +1288 1 Canned Soda [Mountain Dew] $1.09 +1288 1 Chips and Guacamole NULL $3.99 +1289 1 Veggie Salad Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole]] $11.25 +1289 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1290 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +1290 1 Chips and Fresh Tomato Salsa NULL $2.39 +1291 1 Steak Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +1291 1 Chips and Fresh Tomato Salsa NULL $2.39 +1292 1 Chicken Bowl [Fresh Tomato Salsa, [Guacamole, Cheese, Rice, Sour Cream, Fajita Vegetables]] $11.25 +1292 1 Chips NULL $2.15 +1293 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +1293 1 Chips and Fresh Tomato Salsa NULL $2.95 +1293 1 Canned Soft Drink [Coke] $1.25 +1294 1 Veggie Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +1294 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1295 2 Chicken Burrito [Fresh Tomato Salsa, [Sour Cream, Cheese, Pinto Beans, Rice]] $17.50 +1296 1 Steak Burrito [Fresh Tomato Salsa, [Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +1296 1 Steak Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1297 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Cheese, Guacamole]] $11.25 +1297 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa, [Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +1298 1 Chips and Guacamole NULL $4.45 +1298 2 Canned Soft Drink [Diet Coke] $2.50 +1298 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese]] $8.75 +1299 1 Carnitas Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium)], [Rice, Fajita Veggies, Lettuce]] $8.99 +1299 1 Barbacoa Bowl [[Tomatillo-Red Chili Salsa (Hot), Tomatillo-Green Chili Salsa (Medium)], [Rice, Pinto Beans, Fajita Veggies, Lettuce]] $8.99 +1299 1 Side of Chips NULL $1.69 +1300 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1300 1 Side of Chips NULL $1.69 +1301 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +1301 1 Canned Soft Drink [Diet Coke] $1.25 +1302 1 Steak Burrito [Fresh Tomato (Mild), [Lettuce, Guacamole, Pinto Beans, Rice, Sour Cream, Cheese]] $11.08 +1302 1 Carnitas Burrito [Fresh Tomato (Mild), [Lettuce, Rice]] $8.69 +1303 1 Barbacoa Bowl [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1303 1 Canned Soda [Sprite] $1.09 +1304 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Guacamole, Lettuce]] $11.25 +1304 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.25 +1304 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1304 1 Canned Soft Drink [Sprite] $1.25 +1305 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Pinto Beans, Lettuce]] $8.75 +1305 1 Canned Soft Drink [Diet Coke] $1.25 +1305 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Lettuce]] $8.75 +1306 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables]] $8.75 +1306 1 Chips NULL $2.15 +1306 1 Canned Soft Drink [Sprite] $1.25 +1307 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +1307 1 Chips and Guacamole NULL $3.99 +1308 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1308 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +1309 1 Chicken Bowl [[Tomatillo-Red Chili Salsa (Hot), Tomatillo-Green Chili Salsa (Medium)], [Rice, Black Beans, Cheese, Lettuce]] $8.49 +1309 3 Chips and Tomatillo-Red Chili Salsa NULL $7.17 +1310 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1310 1 Chips and Guacamole NULL $4.45 +1311 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Guacamole, Lettuce, Sour Cream, Rice, Cheese, Black Beans]] $11.48 +1312 1 Veggie Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +1312 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese]] $8.75 +1313 1 Barbacoa Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +1314 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1314 1 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1315 1 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Cheese, Lettuce]] $8.49 +1315 1 Chips and Guacamole NULL $3.99 +1316 1 Bottled Water NULL $1.50 +1316 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Guacamole, Lettuce]] $11.25 +1317 1 Chicken Bowl [Fresh Tomato Salsa, [Lettuce, Fajita Vegetables, Guacamole, Rice, Black Beans]] $11.25 +1317 1 Chicken Bowl [Fresh Tomato Salsa, [Lettuce, Cheese, Pinto Beans, Rice]] $8.75 +1318 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Lettuce]] $8.75 +1318 1 Chips and Guacamole NULL $4.45 +1319 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1319 1 Chips and Guacamole NULL $4.45 +1320 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Lettuce]] $8.75 +1320 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Cheese]] $8.75 +1320 2 Chips NULL $4.30 +1320 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1321 1 Veggie Salad Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1321 3 Bottled Water NULL $4.50 +1322 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Cheese, Lettuce, Pinto Beans]] $9.25 +1322 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Guacamole, Cheese, Sour Cream]] $11.25 +1322 1 Chips and Guacamole NULL $4.45 +1323 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1323 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1323 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese]] $8.75 +1323 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Black Beans, Cheese, Sour Cream]] $9.25 +1324 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables]] $8.75 +1324 1 Chips NULL $2.15 +1324 1 Canned Soft Drink [Sprite] $1.25 +1325 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +1325 1 Chips NULL $2.15 +1325 1 Canned Soft Drink [Nestea] $1.25 +1326 1 Carnitas Soft Tacos [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese]] $8.99 +1326 1 Chicken Crispy Tacos [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Cheese]] $8.49 +1327 1 Chicken Salad Bowl [Fresh Tomato Salsa] $8.75 +1327 1 Chicken Bowl [Fresh Tomato Salsa] $8.75 +1327 1 Canned Soft Drink [Sprite] $1.25 +1328 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.75 +1328 3 Bottled Water NULL $4.50 +1329 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Rice, Lettuce]] $8.75 +1329 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +1330 1 Chips and Guacamole NULL $3.99 +1330 1 Nantucket Nectar [Peach Orange] $3.39 +1330 1 Chicken Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Pinto Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.49 +1330 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +1330 1 Barbacoa Crispy Tacos [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium)], [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +1331 1 Bottled Water NULL $1.50 +1331 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Cheese, Guacamole]] $11.25 +1331 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +1332 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1332 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1332 1 Chips NULL $2.15 +1333 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables]] $8.75 +1333 1 Chips NULL $2.15 +1333 1 Canned Soft Drink [Sprite] $1.25 +1334 2 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $21.96 +1335 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +1335 1 Side of Chips NULL $1.69 +1336 3 Steak Bowl [Tomatillo Green Chili (Medium), [Rice, Black Beans, Sour Cream, Cheese]] $26.07 +1337 1 Steak Bowl [Fresh Tomato Salsa, [Cheese, Black Beans, Pinto Beans, Guacamole, Sour Cream]] $11.75 +1337 1 Bottled Water NULL $1.50 +1338 1 Steak Bowl [[Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild)], [Rice, Black Beans, Lettuce]] $8.99 +1338 1 Carnitas Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Rice, Pinto Beans, Lettuce]] $8.99 +1339 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +1340 1 Carnitas Soft Tacos [Tomatillo Red Chili Salsa, [Cheese, Sour Cream, Lettuce]] $9.25 +1340 1 Carnitas Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1341 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1341 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese]] $8.75 +1341 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Lettuce]] $8.75 +1341 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1341 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice]] $8.75 +1342 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Lettuce, Cheese]] $8.75 +1342 1 Chips NULL $2.15 +1342 1 Canned Soft Drink [Sprite] $1.25 +1343 1 Steak Salad Bowl [Fresh Tomato Salsa, [Cheese, Guacamole, Lettuce]] $11.89 +1343 1 Veggie Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese]] $8.75 +1344 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +1344 1 Chips and Guacamole NULL $4.45 +1345 2 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $18.50 +1346 1 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Lettuce]] $9.25 +1346 1 Barbacoa Salad Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.39 +1347 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +1347 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +1348 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium)], [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1348 1 Side of Chips NULL $1.69 +1348 1 Bottled Water NULL $1.09 +1349 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Cheese, Sour Cream]] $8.99 +1349 1 Chicken Salad [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +1349 2 Canned Soda [Coca Cola] $2.18 +1350 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.25 +1350 1 Canned Soft Drink [Nestea] $1.25 +1351 1 Veggie Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +1351 1 Nantucket Nectar [Pineapple Orange Banana] $3.39 +1352 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1352 1 Chips and Guacamole NULL $3.99 +1353 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1353 1 Chicken Crispy Tacos [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1354 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1354 1 Side of Chips NULL $1.69 +1355 2 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream]] $16.98 +1356 1 Barbacoa Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $9.25 +1356 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $9.25 +1356 1 Steak Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole]] $11.75 +1356 1 Canned Soft Drink [Diet Coke] $1.25 +1357 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Cheese, Guacamole, Lettuce]] $11.25 +1357 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Cheese, Lettuce]] $8.75 +1358 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Black Beans, Cheese, Lettuce]] $8.49 +1358 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Rice, Black Beans, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1359 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Lettuce]] $8.75 +1359 1 Canned Soft Drink [Diet Coke] $1.25 +1359 1 Canned Soft Drink [Lemonade] $1.25 +1359 1 Canned Soft Drink [Nestea] $1.25 +1360 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Sour Cream, Guacamole, Lettuce]] $11.25 +1360 2 6 Pack Soft Drink [Diet Coke] $12.98 +1360 1 Steak Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1360 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1360 1 Chips and Guacamole NULL $4.45 +1361 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1361 1 Barbacoa Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1362 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Pinto Beans, Black Beans, Rice, Cheese, Sour Cream, Guacamole]] $10.98 +1362 1 Chicken Bowl [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Black Beans, Rice, Fajita Veggies, Sour Cream, Lettuce]] $8.49 +1363 1 Veggie Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Cheese, Sour Cream, Lettuce]] $8.49 +1363 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +1364 1 Steak Burrito [Fresh Tomato Salsa, [Pinto Beans, Lettuce, Cheese, Rice]] $9.25 +1364 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Guacamole, Cheese, Sour Cream]] $11.25 +1365 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Cheese, Lettuce, Rice, Pinto Beans]] $8.75 +1365 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1365 1 Bottled Water NULL $1.50 +1366 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1366 1 Chips and Fresh Tomato Salsa NULL $2.95 +1367 1 Steak Crispy Tacos [Fresh Tomato Salsa, Lettuce] $9.25 +1367 1 Chips and Fresh Tomato Salsa NULL $2.95 +1367 1 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1367 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1368 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Pinto Beans, Guacamole, Lettuce]] $11.25 +1368 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Pinto Beans, Lettuce]] $8.75 +1369 1 Veggie Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $8.75 +1369 1 Chips and Guacamole NULL $4.45 +1370 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +1370 1 Canned Soft Drink [Coke] $1.25 +1371 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese]] $8.75 +1371 1 Chips and Fresh Tomato Salsa NULL $2.95 +1371 2 Canned Soft Drink [Diet Coke] $2.50 +1372 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Cheese]] $9.25 +1372 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +1373 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $9.25 +1373 1 6 Pack Soft Drink [Coke] $6.49 +1374 2 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $17.50 +1375 1 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Green Chili Salsa (Medium)], [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1375 1 Side of Chips NULL $1.69 +1376 1 Chicken Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Rice, Fajita Veggies, Cheese, Lettuce]] $8.49 +1376 1 Chips and Guacamole NULL $3.99 +1377 1 Chicken Bowl [Fresh Tomato Salsa, [Cheese, Black Beans, Rice]] $8.75 +1377 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1377 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1378 1 Chicken Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Cheese, Lettuce]] $8.49 +1378 1 Steak Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Rice, Cheese, Lettuce]] $8.99 +1379 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Rice, Cheese, Sour Cream]] $8.99 +1379 1 Canned Soda [Sprite] $1.09 +1380 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1380 1 Chips and Guacamole NULL $4.45 +1380 1 Canned Soft Drink [Coke] $1.25 +1381 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Cheese, Guacamole]] $11.25 +1381 1 Steak Crispy Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1382 1 Chicken Bowl [Roasted Chili Corn Salsa, [Black Beans, Cheese, Guacamole]] $11.25 +1382 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +1383 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Guacamole, Lettuce]] $11.25 +1383 1 Bottled Water NULL $1.50 +1384 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Guacamole]] $11.25 +1384 1 Chips NULL $2.15 +1385 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +1386 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +1386 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole]] $11.75 +1387 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +1387 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1388 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +1388 1 Steak Soft Tacos [Fresh Tomato Salsa, [Cheese, Sour Cream, Lettuce]] $9.25 +1389 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Cheese, Lettuce]] $8.75 +1389 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese]] $9.25 +1389 1 Chicken Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese]] $8.75 +1390 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese]] $8.75 +1390 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Cheese]] $8.75 +1390 1 Canned Soft Drink [Coke] $1.25 +1391 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Guacamole]] $11.25 +1391 1 Bottled Water NULL $1.50 +1391 1 Chips NULL $2.15 +1392 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1392 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +1392 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Guacamole, Lettuce]] $11.25 +1393 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1393 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Lettuce]] $8.75 +1394 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Guacamole]] $11.25 +1394 1 Chips and Guacamole NULL $4.45 +1395 1 Veggie Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Sour Cream, Lettuce]] $8.49 +1395 1 Veggie Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Rice, Fajita Veggies, Sour Cream]] $8.49 +1395 1 Veggie Salad [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +1396 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa (Medium), [Cheese, Sour Cream, Lettuce]] $8.49 +1396 1 Steak Soft Tacos [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream]] $8.99 +1396 1 Side of Chips NULL $1.69 +1396 1 Chips and Fresh Tomato Salsa NULL $2.39 +1396 1 Canned Soda [Coca Cola] $1.09 +1396 1 Canned Soda [Dr. Pepper] $1.09 +1397 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1397 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1398 3 Carnitas Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $35.25 +1399 1 Chicken Bowl [Fresh Tomato Salsa, [Cheese, Rice, Black Beans]] $8.75 +1399 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1399 1 Canned Soft Drink [Sprite] $1.25 +1400 1 Chicken Bowl [Fresh Tomato Salsa, [Guacamole, Sour Cream, Cheese, Rice, Fajita Vegetables]] $11.25 +1400 1 Chips NULL $2.15 +1401 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Lettuce]] $9.25 +1401 1 Chips and Guacamole NULL $4.45 +1402 1 Chicken Burrito [Roasted Chili Corn Salsa, Fajita Vegetables] $8.75 +1402 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +1402 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Sour Cream]] $8.75 +1402 1 Chips and Guacamole NULL $4.45 +1403 1 Canned Soft Drink [Diet Coke] $1.25 +1403 1 Steak Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Guacamole, Lettuce]] $11.89 +1404 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream, Lettuce]] $8.75 +1404 1 Chips NULL $2.15 +1404 1 Canned Soft Drink [Diet Coke] $1.25 +1405 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Lettuce]] $8.49 +1405 1 Canned Soda [Diet Dr. Pepper] $1.09 +1405 1 Bottled Water NULL $1.09 +1405 1 Side of Chips NULL $1.69 +1406 1 Steak Burrito [[Lettuce, Fajita Veggies, Rice]] $8.69 +1406 1 Steak Salad [[Lettuce, Fajita Veggies]] $8.69 +1407 1 Steak Crispy Tacos [Fresh Tomato Salsa] $9.25 +1407 1 Chips and Fresh Tomato Salsa NULL $2.95 +1408 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Guacamole, Lettuce]] $10.98 +1408 1 Chips and Fresh Tomato Salsa NULL $2.39 +1409 2 Chicken Salad Bowl [Tomatillo Green Chili Salsa, [Black Beans, Cheese, Guacamole]] $22.50 +1410 2 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole]] $21.96 +1411 1 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Rice, Black Beans, Fajita Veggies, Guacamole]] $10.98 +1411 1 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild)], [Rice, Pinto Beans, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1411 1 Side of Chips NULL $1.69 +1412 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Guacamole]] $11.75 +1412 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1413 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese]] $8.75 +1413 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1414 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Sour Cream]] $8.75 +1414 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1414 1 Chicken Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Sour Cream]] $8.75 +1415 1 Chicken Burrito [[Rice, Cheese]] $8.19 +1415 1 Chicken Burrito [Fresh Tomato (Mild), [Guacamole, Rice, Sour Cream, Cheese]] $10.58 +1416 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Cheese, Lettuce, Pinto Beans, Rice]] $8.75 +1416 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1416 1 Bottled Water NULL $1.50 +1417 2 Canned Soft Drink [Coke] $2.50 +1417 1 Carnitas Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce]] $9.25 +1417 1 Chips and Guacamole NULL $4.45 +1418 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans]] $9.25 +1418 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +1419 1 Carnitas Burrito [Fresh Tomato (Mild), [Lettuce, Rice]] $8.69 +1419 1 Steak Burrito [Fresh Tomato (Mild), [Lettuce, Pinto Beans, Rice, Sour Cream, Cheese]] $8.69 +1419 1 Chips and Guacamole NULL $3.89 +1420 1 Steak Burrito [[Lettuce, Fajita Veggies, Rice]] $8.69 +1420 1 Side of Chips NULL $1.69 +1421 1 Chips and Guacamole NULL $4.45 +1421 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1422 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1422 1 Chips and Guacamole NULL $4.45 +1422 1 Chips NULL $2.15 +1423 1 Chicken Burrito [[Lettuce, Fajita Veggies, Rice]] $8.19 +1423 1 Steak Burrito [[Lettuce, Fajita Veggies, Rice]] $8.69 +1424 1 Chips and Guacamole NULL $4.45 +1424 1 Veggie Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1425 1 Canned Soft Drink [Coke] $1.25 +1425 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +1425 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1426 1 Barbacoa Salad Bowl [Fresh Tomato Salsa, Guacamole] $11.89 +1426 1 Barbacoa Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1426 1 Barbacoa Soft Tacos [Tomatillo Red Chili Salsa, [Fajita Vegetables, Guacamole, Lettuce]] $11.75 +1426 1 Barbacoa Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1427 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1427 1 Chips NULL $2.15 +1427 1 Bottled Water NULL $1.50 +1428 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Guacamole]] $11.75 +1428 1 Chips and Guacamole NULL $4.45 +1429 1 Chips and Guacamole NULL $3.99 +1429 1 Steak Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.99 +1429 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream, Guacamole]] $10.98 +1429 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +1430 1 Canned Soft Drink [Sprite] $1.25 +1430 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1430 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $8.75 +1431 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1431 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1431 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1431 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +1431 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +1431 1 Chips NULL $2.15 +1432 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Sour Cream, Lettuce]] $9.25 +1432 1 Steak Soft Tacos [Fresh Tomato Salsa, [Cheese, Lettuce]] $9.25 +1433 1 Nantucket Nectar [Pineapple Orange Banana] $3.39 +1433 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Pinto Beans, Rice, Cheese, Sour Cream]] $8.49 +1433 1 Chicken Soft Tacos [Tomatillo-Green Chili Salsa (Medium), [Cheese, Sour Cream]] $8.49 +1433 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +1434 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Fajita Veggies, Cheese, Sour Cream, Guacamole]] $10.98 +1434 1 Canned Soda [Dr. Pepper] $1.09 +1434 1 Canned Soda [Coca Cola] $1.09 +1434 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream]] $8.49 +1435 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +1435 1 Canned Soft Drink [Diet Coke] $1.25 +1436 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1436 1 Bottled Water NULL $1.09 +1437 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +1437 1 Chips NULL $2.15 +1437 1 Bottled Water NULL $1.50 +1438 1 Chips and Guacamole NULL $3.99 +1438 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +1439 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +1439 1 Chips NULL $2.15 +1439 1 Bottled Water NULL $1.50 +1440 1 Chicken Burrito [Tomatillo-Green Chili Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1440 1 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Guacamole, Lettuce]] $10.98 +1440 2 Canned Soda [Diet Coke] $2.18 +1441 1 Chicken Crispy Tacos [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +1441 1 Chips NULL $2.15 +1441 1 Bottled Water NULL $1.50 +1442 1 Chips and Guacamole NULL $4.45 +1442 1 Steak Soft Tacos [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +1443 15 Chips and Fresh Tomato Salsa NULL $44.25 +1443 7 Bottled Water NULL $10.50 +1443 1 6 Pack Soft Drink [Coke] $6.49 +1443 3 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $33.75 +1443 4 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $35.00 +1443 3 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $27.75 +1443 2 Bottled Water NULL $3.00 +1444 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Guacamole]] $11.25 +1444 1 Steak Crispy Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1445 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Guacamole, Lettuce]] $10.98 +1445 1 Chips and Fresh Tomato Salsa NULL $2.39 +1446 2 Canned Soft Drink [Diet Coke] $2.50 +1446 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese]] $8.75 +1446 1 Chips and Guacamole NULL $4.45 +1447 2 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Cheese, Sour Cream, Fajita Veggies, Pinto Beans, Rice]] $16.98 +1448 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +1448 1 6 Pack Soft Drink [Nestea] $6.49 +1449 2 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese]] $16.98 +1449 2 Steak Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese]] $17.98 +1449 2 Veggie Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $16.98 +1449 2 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Cheese]] $16.98 +1449 1 Carnitas Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Lettuce]] $8.99 +1449 1 Carnitas Soft Tacos [Fresh Tomato Salsa (Mild), [Rice, Cheese, Lettuce]] $8.99 +1449 1 Chicken Soft Tacos [Tomatillo-Red Chili Salsa (Hot), [Cheese, Sour Cream, Lettuce]] $8.49 +1450 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Lettuce]] $9.25 +1450 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Lettuce]] $8.75 +1450 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1451 1 Steak Soft Tacos [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium)], [Rice, Fajita Veggies, Cheese, Guacamole, Lettuce]] $11.48 +1451 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +1452 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Pinto Beans, Lettuce]] $8.99 +1452 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +1453 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +1453 1 Chips and Guacamole NULL $4.45 +1453 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1453 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1454 1 6 Pack Soft Drink [Coke] $6.49 +1454 3 Chicken Burrito [Fresh Tomato Salsa] $26.25 +1454 1 Chicken Soft Tacos [Fresh Tomato Salsa, Rice] $8.75 +1454 3 Chicken Burrito [Fresh Tomato Salsa, Rice] $26.25 +1454 1 Chicken Soft Tacos [Fresh Tomato Salsa, Rice] $8.75 +1454 1 Chicken Crispy Tacos [Fresh Tomato Salsa, Rice] $8.75 +1455 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1455 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Guacamole, Lettuce]] $11.25 +1455 1 Chips NULL $2.15 +1456 1 Canned Soft Drink [Sprite] $1.25 +1456 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1457 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +1457 1 Chips NULL $2.15 +1457 1 Bottled Water NULL $1.50 +1458 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole, Fajita Vegetables]] $11.25 +1458 1 Chips NULL $2.15 +1459 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Pinto Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.99 +1459 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +1460 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Cheese, Guacamole, Lettuce]] $11.25 +1460 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Guacamole]] $11.25 +1460 1 Chips NULL $2.15 +1461 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.25 +1461 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1461 1 Chicken Salad Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Lettuce]] $8.75 +1462 2 Chips and Tomatillo-Green Chili Salsa NULL $4.78 +1462 2 Chicken Soft Tacos [[Tomatillo-Green Chili Salsa (Medium), Fresh Tomato Salsa (Mild)], [Cheese, Sour Cream, Guacamole]] $21.96 +1463 1 Veggie Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1463 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +1464 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Lettuce]] $9.25 +1464 1 Chips and Fresh Tomato Salsa NULL $2.95 +1465 2 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Rice, Fajita Veggies]] $16.98 +1466 1 Chicken Bowl [Fresh Tomato (Mild), [Lettuce, Fajita Veggies, Pinto Beans, Rice, Sour Cream, Cheese]] $8.19 +1466 1 Chips and Guacamole NULL $3.89 +1467 1 Steak Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1467 1 Bottled Water NULL $1.09 +1468 1 Steak Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Fajita Veggies, Cheese, Lettuce]] $8.99 +1468 1 Izze [Blackberry] $3.39 +1469 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +1469 1 Chips and Guacamole NULL $4.45 +1470 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole]] $10.98 +1470 1 Chicken Bowl [[Tomatillo-Green Chili Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole]] $10.98 +1471 2 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $17.50 +1472 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +1472 1 Canned Soft Drink [Coke] $1.25 +1472 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Lettuce]] $8.75 +1473 1 Steak Burrito [Fresh Tomato Salsa, [Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1473 1 Chips and Guacamole NULL $4.45 +1474 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole]] $11.25 +1474 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Rice, Guacamole]] $11.25 +1475 1 Steak Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild)], [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.99 +1475 1 Canned Soda [Coca Cola] $1.09 +1476 1 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Rice, Black Beans, Fajita Veggies, Guacamole]] $10.98 +1476 1 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot), Fresh Tomato Salsa (Mild)], [Rice, Pinto Beans, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1476 1 Side of Chips NULL $1.69 +1477 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Black Beans, Guacamole]] $11.25 +1477 1 Carnitas Soft Tacos [Fresh Tomato Salsa, [Cheese, Lettuce]] $9.25 +1478 2 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Sour Cream, Cheese, Black Beans, Rice]] $16.98 +1479 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1479 1 Chips and Guacamole NULL $4.45 +1480 1 Chicken Burrito [Roasted Chili Corn Salsa, [Guacamole, Lettuce, Rice, Fajita Vegetables, Sour Cream]] $11.25 +1480 1 6 Pack Soft Drink [Diet Coke] $6.49 +1480 1 Steak Crispy Tacos [Tomatillo Green Chili Salsa, [Cheese, Sour Cream, Guacamole]] $11.75 +1481 1 Carnitas Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1481 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1482 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +1482 1 Chips and Guacamole NULL $4.45 +1482 2 Canned Soft Drink [Diet Coke] $2.50 +1483 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1483 1 Steak Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1483 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Cheese]] $8.75 +1483 1 Steak Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1483 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1483 1 Steak Soft Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans]] $9.25 +1483 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1483 1 Steak Bowl [Roasted Chili Corn Salsa, [Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1483 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream]] $8.75 +1483 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1483 1 Steak Soft Tacos [Fresh Tomato Salsa, Guacamole] $11.75 +1483 1 Carnitas Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Lettuce]] $9.25 +1483 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1483 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1484 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream]] $8.49 +1484 1 Canned Soda [Dr. Pepper] $1.09 +1484 1 Canned Soda [Dr. Pepper] $1.09 +1485 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Lettuce]] $8.49 +1485 1 Canned Soda [Diet Dr. Pepper] $1.09 +1485 1 Side of Chips NULL $1.69 +1486 1 Chicken Bowl [Fresh Tomato Salsa, [Guacamole, Lettuce, Rice, Cheese, Sour Cream, Black Beans]] $11.25 +1486 1 Canned Soft Drink [Lemonade] $1.25 +1487 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables]] $8.75 +1487 1 Chips NULL $2.15 +1487 1 Bottled Water NULL $1.50 +1488 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1488 1 Side of Chips NULL $1.69 +1489 1 Canned Soft Drink [Diet Coke] $1.25 +1489 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +1489 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1490 1 Chicken Salad [Fresh Tomato Salsa (Mild), Black Beans] $8.49 +1490 1 Chips and Guacamole NULL $3.99 +1491 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice]] $8.49 +1491 1 Chicken Salad [Fresh Tomato Salsa (Mild), [Black Beans, Cheese, Lettuce]] $8.49 +1492 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1492 1 Veggie Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1492 1 Chips NULL $2.15 +1493 1 Bottled Water NULL $1.50 +1493 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1494 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Rice, Cheese, Sour Cream]] $8.99 +1494 1 Canned Soda [Sprite] $1.09 +1495 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream, Guacamole]] $10.98 +1496 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Fajita Veggies, Guacamole, Lettuce]] $10.98 +1497 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1497 1 Canned Soft Drink [Sprite] $1.25 +1498 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1498 1 Chips and Guacamole NULL $4.45 +1499 1 Chips and Guacamole NULL $4.45 +1499 1 Canned Soft Drink [Sprite] $1.25 +1499 1 Carnitas Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.89 +1500 1 Carnitas Salad [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Cheese, Sour Cream]] $8.99 +1500 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Pinto Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.99 +1501 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1501 1 Chips and Guacamole NULL $4.45 +1502 2 Steak Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $23.50 +1503 1 Veggie Burrito [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +1503 1 Chips and Guacamole NULL $3.99 +1504 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +1504 1 Chips and Guacamole NULL $4.45 +1505 1 Chips and Guacamole NULL $4.45 +1505 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $9.25 +1506 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1506 1 Chips and Guacamole NULL $4.45 +1507 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1507 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1508 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1508 1 6 Pack Soft Drink [Coke] $6.49 +1509 2 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $17.50 +1509 1 Chips and Guacamole NULL $4.45 +1510 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +1510 1 Chips and Fresh Tomato Salsa NULL $2.95 +1510 1 Bottled Water NULL $1.50 +1511 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese]] $8.75 +1511 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice]] $8.75 +1511 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1511 1 Chips and Guacamole NULL $4.45 +1511 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1512 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Cheese, Guacamole]] $11.25 +1512 1 Steak Crispy Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1513 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +1513 1 Chips and Roasted Chili Corn Salsa NULL $2.95 +1514 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1514 1 Chips and Guacamole NULL $4.45 +1514 2 Bottled Water NULL $3.00 +1514 1 Canned Soft Drink [Diet Coke] $1.25 +1515 1 Chips and Fresh Tomato Salsa NULL $2.95 +1515 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Pinto Beans, Sour Cream, Cheese]] $9.25 +1516 1 Steak Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.99 +1516 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +1517 1 6 Pack Soft Drink [Diet Coke] $6.49 +1517 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Sour Cream, Lettuce]] $8.75 +1517 2 Chips and Guacamole NULL $8.90 +1518 1 Carnitas Bowl [Fresh Tomato Salsa (Mild), [Fajita Veggies, Cheese, Sour Cream, Guacamole]] $11.48 +1518 1 Canned Soda [Diet Coke] $1.09 +1519 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $10.98 +1520 1 Barbacoa Burrito [Tomatillo Green Chili Salsa, [Rice, Fajita Vegetables, Pinto Beans, Sour Cream, Cheese]] $9.25 +1520 1 Steak Soft Tacos [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Lettuce]] $9.25 +1521 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Pinto Beans, Guacamole, Lettuce]] $11.25 +1521 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Lettuce]] $8.75 +1522 1 Steak Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole, Lettuce]] $11.75 +1522 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Sour Cream, Guacamole]] $11.25 +1523 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1523 1 Canned Soft Drink [Nestea] $1.25 +1524 1 Carnitas Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream]] $9.25 +1524 1 Chips and Guacamole NULL $4.45 +1525 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +1525 1 6 Pack Soft Drink [Sprite] $6.49 +1526 1 Steak Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1526 1 Steak Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1527 1 Barbacoa Burrito [Tomatillo-Green Chili Salsa (Medium), [Rice, Cheese, Sour Cream]] $8.99 +1527 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +1528 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Pinto Beans, Black Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.49 +1528 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1529 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1529 1 Carnitas Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1530 1 Canned Soft Drink [Coke] $1.25 +1530 1 Chicken Crispy Tacos [Fresh Tomato Salsa, [Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1530 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1531 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Cheese, Guacamole, Lettuce]] $11.75 +1531 1 Chips NULL $2.15 +1532 1 Veggie Bowl [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +1532 1 Veggie Burrito [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +1533 1 Barbacoa Bowl [Fresh Tomato (Mild), [Lettuce, Rice, Cheese]] $8.69 +1533 2 Chicken Burrito [[Lettuce, Rice]] $16.38 +1533 1 Chicken Burrito [Rice] $8.19 +1533 1 Chips and Guacamole NULL $3.89 +1533 1 Chips and Fresh Tomato Salsa NULL $2.29 +1534 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Guacamole]] $11.75 +1534 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1534 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1535 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Lettuce]] $8.75 +1535 1 Chips and Guacamole NULL $4.45 +1536 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1536 1 Chicken Soft Tacos [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1537 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +1537 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +1537 1 6 Pack Soft Drink [Coke] $6.49 +1537 1 Chips and Fresh Tomato Salsa NULL $2.95 +1538 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1538 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1538 1 Chips NULL $2.15 +1539 1 Steak Burrito [Fresh Tomato Salsa, [Pinto Beans, Cheese, Sour Cream]] $9.25 +1539 1 Steak Burrito [Fresh Tomato Salsa, [Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +1540 2 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Rice, Pinto Beans, Fajita Veggies, Cheese, Sour Cream, Guacamole]] $21.96 +1541 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Rice, Fajita Veggies, Cheese, Lettuce]] $8.49 +1541 1 Nantucket Nectar [Peach Orange] $3.39 +1541 1 Side of Chips NULL $1.69 +1541 1 Veggie Burrito [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1542 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1542 1 Chips and Guacamole NULL $4.45 +1543 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Pinto Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1543 1 Chips and Guacamole NULL $3.99 +1544 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +1544 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +1545 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1545 1 Chips NULL $2.15 +1546 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1546 1 Chips and Guacamole NULL $4.45 +1547 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +1547 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $9.25 +1547 1 Chicken Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese]] $8.75 +1548 2 Steak Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $18.50 +1549 1 Bottled Water NULL $1.50 +1549 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +1549 1 Chips NULL $2.15 +1550 1 Steak Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Guacamole, Lettuce]] $11.48 +1550 2 Canned Soda [Mountain Dew] $2.18 +1550 1 Chips and Guacamole NULL $3.99 +1551 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +1551 1 Bottled Water NULL $1.50 +1552 1 Steak Soft Tacos [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Cheese, Sour Cream]] $8.99 +1552 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +1553 1 Steak Burrito [Roasted Chili Corn Salsa, [Pinto Beans, Rice, Guacamole, Sour Cream, Cheese]] $11.75 +1553 1 Bottled Water NULL $1.50 +1554 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1554 1 6 Pack Soft Drink [Diet Coke] $6.49 +1554 1 Chips and Guacamole NULL $4.45 +1554 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1555 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +1555 1 Chips and Guacamole NULL $3.99 +1556 2 Canned Soft Drink [Coke] $2.50 +1556 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1556 1 Carnitas Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +1557 1 Chips and Guacamole NULL $3.99 +1557 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Pinto Beans, Cheese]] $8.99 +1558 1 Chicken Bowl [Fresh Tomato Salsa, Cheese] $8.75 +1558 1 6 Pack Soft Drink [Diet Coke] $6.49 +1559 8 Side of Chips NULL $13.52 +1559 2 Chicken Soft Tacos [Fresh Tomato Salsa (Mild), [Pinto Beans, Rice, Cheese, Lettuce]] $16.98 +1559 2 Veggie Soft Tacos [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Lettuce]] $16.98 +1559 2 Carnitas Crispy Tacos [Fresh Tomato Salsa (Mild), [Cheese, Lettuce]] $17.98 +1559 2 Chicken Crispy Tacos [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Lettuce]] $16.98 +1560 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1560 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +1561 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1561 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1562 1 Chicken Burrito [[Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1562 1 Canned Soda [Mountain Dew] $1.09 +1562 1 Side of Chips NULL $1.69 +1563 1 Canned Soft Drink [Lemonade] $1.25 +1563 1 Steak Soft Tacos [Fresh Tomato Salsa, [Cheese, Lettuce]] $9.25 +1563 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1564 1 Barbacoa Burrito [Fresh Tomato (Mild), [Black Beans, Rice, Sour Cream, Cheese]] $8.69 +1564 1 Chicken Burrito [Fresh Tomato (Mild), [Black Beans, Rice, Sour Cream, Cheese]] $8.19 +1565 1 Chicken Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1565 1 Chips and Roasted Chili-Corn Salsa NULL $2.39 +1566 1 Chicken Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1566 1 Chips and Fresh Tomato Salsa NULL $2.39 +1567 1 Chicken Bowl [[Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium)], [Rice, Fajita Veggies, Guacamole, Lettuce]] $10.98 +1568 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1568 1 Steak Soft Tacos [Tomatillo-Green Chili Salsa (Medium), [Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1569 1 Side of Chips NULL $1.69 +1569 1 Veggie Burrito [Fresh Tomato Salsa (Mild), [Black Beans, Fajita Veggies, Cheese, Sour Cream, Lettuce]] $8.49 +1570 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1570 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1571 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Pinto Beans, Cheese, Lettuce, Guacamole]] $11.25 +1571 1 Chips and Guacamole NULL $4.45 +1572 1 Chips and Guacamole NULL $4.45 +1572 2 Chicken Burrito [Tomatillo Red Chili Salsa, [Cheese, Black Beans, Rice]] $17.50 +1573 1 Chicken Burrito [Fresh Tomato Salsa, [Sour Cream, Cheese, Rice, Black Beans]] $8.75 +1573 1 Chips and Guacamole NULL $4.45 +1574 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1574 1 Chips NULL $2.15 +1574 1 Bottled Water NULL $1.50 +1574 1 Bottled Water NULL $1.50 +1575 1 Steak Bowl [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Fajita Veggies]] $8.99 +1575 1 Canned Soda [Dr. Pepper] $1.09 +1576 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese]] $8.75 +1576 1 Chips and Guacamole NULL $4.45 +1577 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +1577 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans, Cheese, Lettuce]] $8.75 +1577 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +1577 2 Chips NULL $4.30 +1578 1 Chicken Bowl [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Lettuce]] $8.49 +1578 1 Side of Chips NULL $1.69 +1578 1 Bottled Water NULL $1.09 +1578 1 Canned Soda [Diet Dr. Pepper] $1.09 +1579 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +1579 1 Chips NULL $2.15 +1579 1 Bottled Water NULL $1.50 +1580 1 Carnitas Soft Tacos [Tomatillo-Red Chili Salsa (Hot), [Cheese, Sour Cream, Lettuce]] $8.99 +1580 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +1580 1 Chips and Guacamole NULL $3.99 +1581 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +1581 1 Chips NULL $2.15 +1581 1 Canned Soft Drink [Nestea] $1.25 +1582 1 Steak Crispy Tacos [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1582 1 Chips and Fresh Tomato Salsa NULL $2.95 +1583 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1583 1 Chips and Guacamole NULL $4.45 +1584 1 Steak Crispy Tacos [Fresh Tomato Salsa, [Sour Cream, Lettuce, Rice, Cheese]] $9.25 +1584 1 Chips and Fresh Tomato Salsa NULL $2.95 +1585 1 Chips and Guacamole NULL $3.99 +1585 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.99 +1585 1 Veggie Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Fajita Veggies, Cheese, Lettuce]] $8.49 +1586 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $8.75 +1586 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +1586 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Pinto Beans, Guacamole, Lettuce]] $11.25 +1586 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +1586 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Lettuce]] $8.75 +1586 1 Chips and Guacamole NULL $4.45 +1587 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Guacamole]] $11.25 +1587 1 Canned Soft Drink [Coke] $1.25 +1588 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Cheese]] $9.25 +1588 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1588 1 Chips and Guacamole NULL $4.45 +1588 1 Chips and Fresh Tomato Salsa NULL $2.95 +1589 1 Chicken Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream, Guacamole]] $10.98 +1590 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Fajita Vegetables, Lettuce, Cheese, Sour Cream]] $8.75 +1590 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1591 2 Steak Burrito [Fresh Tomato Salsa, [Lettuce, Sour Cream, Cheese, Fajita Vegetables, Pinto Beans, Rice]] $18.50 +1592 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Lettuce]] $9.25 +1592 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Lettuce]] $9.25 +1592 4 Canned Soft Drink [Coke] $5.00 +1592 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Lettuce]] $8.75 +1592 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1593 2 Chicken Bowl [[Roasted Chili Corn Salsa (Medium), Fresh Tomato Salsa (Mild)], [Rice, Fajita Veggies]] $16.98 +1594 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Guacamole, Lettuce]] $11.25 +1594 1 Chips and Fresh Tomato Salsa NULL $2.95 +1595 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1595 1 Chips NULL $2.15 +1595 1 Bottled Water NULL $1.50 +1596 1 Chicken Salad [Fresh Tomato Salsa (Mild), [Pinto Beans, Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +1596 1 Chips and Fresh Tomato Salsa NULL $2.39 +1597 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Cheese]] $9.25 +1597 1 Chips NULL $2.15 +1597 1 Canned Soft Drink [Nestea] $1.25 +1598 1 Chicken Burrito [Tomatillo Green Chili (Medium), [Lettuce, Black Beans, Rice, Sour Cream, Cheese]] $8.19 +1598 1 Steak Burrito [Tomatillo Red Chili (Hot), [Lettuce, Black Beans, Rice, Sour Cream, Cheese]] $8.69 +1598 1 Chicken Salad [Roasted Chili Corn (Medium), [Lettuce, Black Beans, Cheese]] $8.19 +1598 1 Chicken Burrito [Roasted Chili Corn (Medium), [Lettuce, Black Beans, Rice, Sour Cream, Cheese]] $8.19 +1599 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +1599 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1599 1 Canned Soft Drink [Nestea] $1.25 +1600 1 Steak Crispy Tacos [Fresh Tomato Salsa, [Cheese, Lettuce]] $9.25 +1600 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1601 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +1601 1 Chicken Salad Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Black Beans, Cheese, Lettuce]] $8.75 +1601 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1601 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1602 1 Steak Burrito [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Pinto Beans, Fajita Veggies, Lettuce]] $8.99 +1602 1 Bottled Water NULL $1.09 +1603 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +1603 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +1603 1 Chips and Guacamole NULL $4.45 +1604 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Tomatillo-Green Chili Salsa (Medium), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +1604 1 Chips and Guacamole NULL $3.99 +1604 1 Chips and Tomatillo-Green Chili Salsa NULL $2.39 +1604 1 Canned Soda [Diet Coke] $1.09 +1605 1 Steak Burrito [[Fresh Tomato Salsa (Mild), Tomatillo-Red Chili Salsa (Hot)], [Pinto Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.99 +1605 1 Chicken Bowl [Tomatillo-Green Chili Salsa (Medium), [Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1606 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1606 1 Chicken Salad Bowl [Fresh Tomato Salsa] $8.75 +1607 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Cheese, Guacamole]] $11.25 +1607 1 Steak Crispy Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1608 1 Chips and Guacamole NULL $4.45 +1608 2 Canned Soft Drink [Diet Coke] $2.50 +1608 1 Chicken Soft Tacos [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1609 1 Veggie Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +1609 1 Nantucket Nectar [Pineapple Orange Banana] $3.39 +1610 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +1610 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce]] $9.25 +1610 1 Chips and Guacamole NULL $4.45 +1610 1 Canned Soft Drink [Lemonade] $1.25 +1611 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1611 1 Chips NULL $2.15 +1611 1 Chips and Guacamole NULL $4.45 +1611 2 Canned Soft Drink [Coke] $2.50 +1612 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese, Lettuce]] $8.99 +1612 1 Chips and Guacamole NULL $3.99 +1613 1 Chicken Soft Tacos [Tomatillo Red Chili Salsa, Cheese] $8.75 +1613 1 Chips NULL $2.15 +1613 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Cheese, Lettuce, Guacamole]] $11.75 +1614 1 Steak Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +1614 1 Canned Soft Drink [Coke] $1.25 +1615 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Sour Cream]] $8.75 +1615 1 Steak Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Sour Cream]] $9.39 +1615 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1615 1 Steak Soft Tacos [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1616 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese]] $9.25 +1616 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1617 1 Carnitas Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Sour Cream, Cheese]] $9.25 +1617 1 Chips and Guacamole NULL $4.45 +1618 1 Canned Soft Drink [Diet Coke] $1.25 +1618 1 Carnitas Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Pinto Beans, Sour Cream, Cheese, Lettuce]] $9.25 +1618 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +1619 1 Barbacoa Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Guacamole]] $11.75 +1619 1 Bottled Water NULL $1.50 +1620 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $8.75 +1620 1 Chips and Guacamole NULL $4.45 +1621 1 Steak Bowl [Roasted Chili Corn Salsa (Medium), [Rice, Black Beans, Fajita Veggies]] $8.99 +1621 1 Canned Soda [Sprite] $1.09 +1622 1 Steak Soft Tacos [Fresh Tomato Salsa, [Cheese, Lettuce]] $9.25 +1622 1 Chips and Fresh Tomato Salsa NULL $2.95 +1623 1 Steak Bowl [Fresh Tomato Salsa (Mild), [Sour Cream, Lettuce, Cheese, Black Beans, Rice]] $8.99 +1623 1 Side of Chips NULL $1.69 +1624 1 Barbacoa Bowl [[Rice, Cheese]] $8.69 +1624 1 Side of Chips NULL $1.69 +1625 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Guacamole, Lettuce]] $11.25 +1625 1 Chips and Guacamole NULL $4.45 +1626 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1626 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1626 1 Chips and Guacamole NULL $4.45 +1627 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1627 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1627 1 Chips and Fresh Tomato Salsa NULL $2.95 +1627 1 Bottled Water NULL $1.50 +1628 1 Chicken Burrito [[Lettuce, Rice, Fajita Veggies]] $8.19 +1628 1 Steak Burrito [[Lettuce, Fajita Veggies, Rice]] $8.69 +1629 1 Bottled Water NULL $1.09 +1629 1 Side of Chips NULL $1.69 +1629 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Cheese]] $8.49 +1630 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1630 1 Chips and Fresh Tomato Salsa NULL $2.95 +1630 1 Canned Soft Drink [Coke] $1.25 +1631 1 Chicken Bowl [Roasted Chili Corn Salsa (Medium), [Black Beans, Rice, Fajita Veggies, Cheese, Sour Cream]] $8.49 +1631 1 Chips and Guacamole NULL $3.99 +1632 1 Chicken Bowl [Fresh Tomato Salsa (Mild), [Black Beans, Rice, Sour Cream, Guacamole]] $10.98 +1632 1 Nantucket Nectar [Peach Orange] $3.39 +1633 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1633 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1633 1 Chips NULL $2.15 +1634 2 Steak Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $18.50 +1635 1 Veggie Burrito [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +1635 1 Veggie Salad [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium), Tomatillo-Red Chili Salsa (Hot)], [Black Beans, Rice, Fajita Veggies, Lettuce]] $8.49 +1636 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Rice, Guacamole]] $11.25 +1636 1 Bottled Water NULL $1.50 +1637 1 Chicken Bowl [[Fresh Tomato Salsa (Mild), Roasted Chili Corn Salsa (Medium)], [Black Beans, Rice, Cheese, Sour Cream, Lettuce]] $8.49 +1637 1 Chips and Tomatillo-Red Chili Salsa NULL $2.39 +1638 1 Steak Burrito [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Lettuce]] $8.99 +1638 1 Chips and Fresh Tomato Salsa NULL $2.39 +1639 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.75 +1639 1 Chips and Guacamole NULL $4.45 +1640 2 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $17.50 +1641 1 Steak Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1641 1 Carnitas Soft Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1642 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1642 1 Chips and Guacamole NULL $4.45 +1642 3 Canned Soft Drink [Diet Coke] $3.75 +1643 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +1643 1 Chips and Guacamole NULL $4.45 +1643 1 Steak Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1643 1 Chips and Fresh Tomato Salsa NULL $2.95 +1644 1 Canned Soft Drink [Lemonade] $1.25 +1644 1 Chips and Guacamole NULL $4.45 +1644 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $8.75 +1645 1 Canned Soft Drink [Coke] $1.25 +1645 1 Bottled Water NULL $1.50 +1645 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +1646 1 Veggie Salad Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1646 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Sour Cream, Guacamole, Lettuce]] $11.25 +1647 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1647 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1648 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $9.25 +1648 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Cheese, Guacamole]] $11.25 +1648 1 Chips and Guacamole NULL $4.45 +1648 1 Chicken Crispy Tacos [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Cheese]] $8.75 +1649 1 Steak Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1649 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1650 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Sour Cream]] $8.75 +1650 1 Chips and Guacamole NULL $4.45 +1651 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $8.75 +1651 1 Canned Soft Drink [Lemonade] $1.25 +1651 1 Chips NULL $2.15 +1652 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream, Lettuce]] $8.75 +1652 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $8.75 +1652 2 Chips NULL $4.30 +1653 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Lettuce]] $8.75 +1653 1 Canned Soft Drink [Sprite] $1.25 +1653 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1654 1 Steak Soft Tacos [Fresh Tomato Salsa] $9.25 +1654 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1655 1 Chips and Guacamole NULL $4.45 +1655 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1655 1 Veggie Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1655 1 Barbacoa Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1655 1 Carnitas Soft Tacos [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1655 3 Bottled Water NULL $4.50 +1656 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.75 +1656 1 Canned Soft Drink [Lemonade] $1.25 +1657 1 Barbacoa Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1657 1 Carnitas Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole, Lettuce]] $11.75 +1657 1 Canned Soft Drink [Coke] $1.25 +1657 1 Canned Soft Drink [Nestea] $1.25 +1658 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans]] $9.25 +1658 1 Chips and Guacamole NULL $4.45 +1659 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1659 1 Carnitas Soft Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole]] $11.75 +1660 2 Chicken Burrito [Fresh Tomato Salsa, Rice] $17.50 +1660 1 Chips NULL $2.15 +1660 1 Canned Soft Drink [Coke] $1.25 +1660 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1660 10 Bottled Water NULL $15.00 +1660 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Guacamole]] $11.25 +1660 1 Chips and Guacamole NULL $4.45 +1660 1 Chips and Guacamole NULL $4.45 +1660 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1661 1 Chicken Bowl [Fresh Tomato Salsa, [Guacamole, Sour Cream, Cheese, Rice, Fajita Vegetables]] $11.25 +1661 1 Chips NULL $2.15 +1662 1 Canned Soft Drink [Sprite] $1.25 +1662 1 Bottled Water NULL $1.50 +1662 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Pinto Beans, Sour Cream, Cheese]] $8.75 +1662 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Sour Cream, Cheese, Guacamole]] $11.25 +1662 1 Chips and Fresh Tomato Salsa NULL $2.95 +1663 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1663 1 Canned Soft Drink [Sprite] $1.25 +1664 1 Chips NULL $2.15 +1664 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1664 1 Carnitas Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1664 1 6 Pack Soft Drink [Diet Coke] $6.49 +1665 1 Canned Soft Drink [Diet Coke] $1.25 +1665 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese]] $8.75 +1665 1 Chips NULL $2.15 +1666 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1666 1 6 Pack Soft Drink [Coke] $6.49 +1667 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Guacamole]] $11.25 +1667 1 Bottled Water NULL $1.50 +1668 1 Veggie Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1668 1 Chips and Guacamole NULL $4.45 +1669 1 Chicken Burrito [Fresh Tomato Salsa, Rice] $8.75 +1669 1 Chips and Guacamole NULL $4.45 +1670 1 Steak Soft Tacos [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1670 1 Barbacoa Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1670 1 Canned Soft Drink [Coke] $1.25 +1670 1 Canned Soft Drink [Sprite] $1.25 +1671 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1671 3 Bottled Water NULL $4.50 +1672 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.25 +1672 1 Canned Soft Drink [Coke] $1.25 +1673 1 Bottled Water NULL $1.50 +1673 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $9.25 +1673 1 Chips NULL $2.15 +1673 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Lettuce, Guacamole]] $11.25 +1673 1 Chips and Guacamole NULL $4.45 +1674 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1674 1 Chips and Guacamole NULL $4.45 +1675 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream]] $8.75 +1675 1 Chips and Guacamole NULL $4.45 +1676 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese]] $9.25 +1676 1 Chips and Guacamole NULL $4.45 +1676 1 Canned Soft Drink [Coke] $1.25 +1677 1 Veggie Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Guacamole]] $11.25 +1677 1 Chips and Guacamole NULL $4.45 +1678 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1678 1 Chips and Guacamole NULL $4.45 +1679 1 Chicken Salad Bowl [Roasted Chili Corn Salsa, [Black Beans, Cheese, Lettuce]] $8.75 +1679 1 Chips NULL $2.15 +1679 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Black Beans, Cheese, Sour Cream]] $8.75 +1679 1 Chips and Guacamole NULL $4.45 +1679 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Lettuce]] $8.75 +1680 1 Steak Bowl [Fresh Tomato Salsa, [Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1680 1 Bottled Water NULL $1.50 +1681 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +1681 1 Chips and Guacamole NULL $4.45 +1682 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +1682 1 Chips NULL $2.15 +1682 1 Bottled Water NULL $1.50 +1683 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Lettuce]] $8.75 +1683 1 Chips and Guacamole NULL $4.45 +1684 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Lettuce]] $8.75 +1684 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Guacamole, Lettuce]] $11.75 +1685 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $8.75 +1685 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Cheese, Sour Cream, Lettuce]] $8.75 +1686 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1686 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1687 1 Bottled Water NULL $1.50 +1687 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese]] $8.75 +1687 1 Chips NULL $2.15 +1688 1 Steak Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Guacamole]] $11.75 +1688 1 Chips NULL $2.15 +1689 1 Steak Soft Tacos [Fresh Tomato Salsa, [Cheese, Lettuce]] $9.25 +1689 1 Chips and Fresh Tomato Salsa NULL $2.95 +1690 2 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $18.50 +1690 1 Canned Soft Drink [Coke] $1.25 +1690 1 Chips and Guacamole NULL $4.45 +1691 1 Chicken Bowl [White Rice] $8.50 +1691 1 Chicken Bowl [White Rice] $8.50 +1691 2 Chips and Guacamole NULL $8.50 +1692 1 Chicken Salad Bowl [Tomatillo Green Chili Salsa, [Black Beans, Sour Cream, Cheese, Guacamole]] $11.25 +1692 1 Carnitas Salad Bowl [Tomatillo Green Chili Salsa, [Black Beans, Cheese, Guacamole]] $11.89 +1692 1 Canned Soft Drink [Diet Coke] $1.25 +1693 1 Steak Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.39 +1693 1 Chips and Guacamole NULL $4.45 +1694 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1694 1 Chips NULL $2.15 +1694 1 Bottled Water NULL $1.50 +1695 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Cheese, Lettuce, Guacamole]] $11.75 +1695 1 Chicken Soft Tacos [Tomatillo Red Chili Salsa, Cheese] $8.75 +1695 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $9.25 +1696 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +1696 1 Chips and Guacamole NULL $4.45 +1696 1 Canned Soft Drink [Coke] $1.25 +1696 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1697 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1697 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1698 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream, Lettuce]] $8.75 +1698 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese]] $8.75 +1698 1 Chips NULL $2.15 +1699 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1699 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Guacamole]] $11.25 +1699 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1700 1 Veggie Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Guacamole]] $11.25 +1700 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +1701 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1701 1 Chips NULL $2.15 +1701 1 Veggie Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1701 1 Chips NULL $2.15 +1702 1 Steak Bowl [Rice, Tomatillo-Red Chili Salsa (Hot)] $8.99 +1702 1 Steak Burrito [Rice, Tomatillo-Red Chili Salsa (Hot)] $8.99 +1703 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1703 1 Steak Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1703 1 Barbacoa Soft Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1703 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1704 1 Chicken Bowl [Fresh Tomato Salsa, [Pinto Beans, Rice, Lettuce, Cheese]] $8.75 +1704 1 Chips and Guacamole NULL $4.45 +1705 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1705 1 Canned Soft Drink [Diet Coke] $1.25 +1705 1 Chips and Guacamole NULL $4.45 +1706 1 Veggie Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.25 +1706 1 Canned Soft Drink [Coke] $1.25 +1707 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1707 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +1708 1 Veggie Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +1708 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1709 1 Canned Soft Drink [Diet Coke] $1.25 +1709 1 Canned Soft Drink [Sprite] $1.25 +1709 1 Canned Soft Drink [Nestea] $1.25 +1709 1 Steak Soft Tacos [Fresh Tomato Salsa, [Cheese, Lettuce]] $9.25 +1710 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Guacamole]] $11.75 +1710 1 Chips NULL $2.15 +1711 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +1711 1 Chips and Guacamole NULL $4.45 +1712 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Lettuce]] $8.75 +1712 1 Chips and Guacamole NULL $4.45 +1713 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole]] $11.25 +1713 1 Steak Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $9.25 +1714 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $8.75 +1714 1 Steak Soft Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Cheese, Sour Cream, Lettuce]] $9.25 +1714 1 Chips and Guacamole NULL $4.45 +1715 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1715 1 Chips and Guacamole NULL $4.45 +1715 1 Canned Soft Drink [Coke] $1.25 +1716 1 Chips and Guacamole NULL $4.45 +1716 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +1717 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Cheese, Lettuce]] $9.25 +1717 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Pinto Beans, Guacamole, Lettuce]] $11.25 +1717 1 Chips NULL $2.15 +1718 2 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $23.50 +1718 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Cheese]] $9.25 +1718 1 Chips NULL $2.15 +1719 2 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Lettuce, Sour Cream]] $18.50 +1719 1 Chicken Soft Tacos [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1719 2 Chips and Tomatillo Red Chili Salsa NULL $5.90 +1720 1 Steak Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole]] $11.89 +1720 1 Chips and Guacamole NULL $4.45 +1721 1 Veggie Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Lettuce]] $8.75 +1721 1 Chips and Guacamole NULL $4.45 +1722 1 Steak Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $9.25 +1722 1 Chips and Fresh Tomato Salsa NULL $2.95 +1723 1 Veggie Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Guacamole, Lettuce]] $11.25 +1723 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1724 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Guacamole]] $11.25 +1724 1 Chicken Crispy Tacos [Tomatillo Red Chili Salsa, [Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +1725 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Guacamole]] $11.25 +1725 1 Chips and Fresh Tomato Salsa NULL $2.95 +1726 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1726 1 Carnitas Soft Tacos [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1727 1 Steak Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese]] $9.25 +1727 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1728 1 Chicken Bowl [Fresh Tomato Salsa, [Guacamole, Lettuce]] $11.25 +1728 1 Chips NULL $2.15 +1729 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +1729 2 Chips and Guacamole NULL $8.90 +1730 1 Chicken Salad Bowl [Tomatillo Red Chili Salsa, [Rice, Cheese]] $8.75 +1730 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1731 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1731 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1732 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1732 1 Chips NULL $2.15 +1732 1 Canned Soft Drink [Coke] $1.25 +1733 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1733 1 Canned Soft Drink [Sprite] $1.25 +1734 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Lettuce]] $8.75 +1734 1 Chips and Guacamole NULL $4.45 +1735 1 Canned Soft Drink [Coke] $1.25 +1735 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Guacamole]] $11.25 +1735 1 Chicken Crispy Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +1736 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1736 1 Canned Soft Drink [Coke] $1.25 +1737 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Rice, Guacamole]] $11.25 +1737 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Guacamole]] $11.25 +1737 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Guacamole]] $11.25 +1738 1 Chicken Salad Bowl [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Black Beans, Cheese, Lettuce]] $8.75 +1738 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Black Beans, Lettuce]] $8.75 +1738 2 Steak Soft Tacos [Fresh Tomato Salsa, [Cheese, Lettuce]] $18.50 +1739 1 Barbacoa Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Sour Cream, Guacamole]] $11.75 +1739 1 Canned Soft Drink [Coke] $1.25 +1740 1 Chips and Guacamole NULL $4.45 +1740 1 Barbacoa Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +1741 1 6 Pack Soft Drink [Coke] $6.49 +1741 1 Chips and Guacamole NULL $4.45 +1741 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Sour Cream, Cheese, Lettuce]] $8.75 +1742 1 Chicken Bowl [Fresh Tomato Salsa, [Pinto Beans, Rice, Cheese, Lettuce, Guacamole, Sour Cream, Fajita Vegetables]] $11.25 +1742 1 6 Pack Soft Drink [Diet Coke] $6.49 +1742 1 Steak Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1743 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1743 1 Steak Bowl [Roasted Chili Corn Salsa, [Black Beans, Cheese, Sour Cream]] $9.25 +1744 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Guacamole, Lettuce]] $11.25 +1744 1 Chips NULL $2.15 +1745 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1745 1 Chips and Guacamole NULL $4.45 +1745 1 Chicken Crispy Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1745 1 Chips and Guacamole NULL $4.45 +1746 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1746 1 Carnitas Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese]] $9.25 +1746 1 Chips and Guacamole NULL $4.45 +1746 1 Canned Soft Drink [Lemonade] $1.25 +1746 1 Canned Soft Drink [Sprite] $1.25 +1747 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Black Beans, Sour Cream, Lettuce]] $8.75 +1747 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1748 1 Barbacoa Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +1748 1 Chips NULL $2.15 +1748 1 Steak Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1749 1 Chips and Guacamole NULL $4.45 +1749 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1749 1 Canned Soft Drink [Coke] $1.25 +1750 1 Carnitas Burrito [Roasted Chili Corn Salsa, [Rice, Pinto Beans, Guacamole, Lettuce]] $11.75 +1750 1 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1751 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole]] $11.25 +1751 2 Chips NULL $4.30 +1751 1 Barbacoa Salad Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $9.39 +1752 1 Steak Salad Bowl [Fresh Tomato Salsa, [Black Beans, Pinto Beans, Cheese]] $9.39 +1752 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Pinto Beans, Cheese, Sour Cream]] $8.75 +1753 1 Canned Soft Drink [Coke] $1.25 +1753 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese]] $9.25 +1753 1 Chips and Guacamole NULL $4.45 +1754 1 Chicken Bowl [Fresh Tomato Salsa, [Black Beans, Rice, Sour Cream, Cheese, Guacamole, Lettuce]] $11.25 +1754 1 Canned Soft Drink [Sprite] $1.25 +1755 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Cheese]] $8.75 +1755 1 Canned Soft Drink [Coke] $1.25 +1755 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1756 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole]] $11.25 +1756 1 Chips and Guacamole NULL $4.45 +1757 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1757 1 Bottled Water NULL $1.50 +1757 1 Chips and Guacamole NULL $4.45 +1758 1 Chips and Guacamole NULL $4.45 +1758 1 Steak Burrito [Fresh Tomato Salsa, [Cheese, Black Beans, Rice]] $9.25 +1759 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +1759 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1759 1 Canned Soft Drink [Diet Coke] $1.25 +1760 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole, Lettuce]] $11.25 +1760 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1761 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream, Lettuce]] $8.75 +1761 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Lettuce]] $8.75 +1761 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese]] $8.75 +1761 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Cheese]] $8.75 +1761 2 Chips NULL $4.30 +1762 1 Steak Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +1762 1 Steak Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Cheese, Lettuce]] $9.39 +1763 1 Chips and Guacamole NULL $4.45 +1763 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +1763 1 Canned Soft Drink [Coke] $1.25 +1764 2 Chicken Bowl [Fresh Tomato Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $22.50 +1764 1 Chips and Guacamole NULL $4.45 +1764 1 Chips and Fresh Tomato Salsa NULL $2.95 +1764 1 Chips NULL $2.15 +1764 2 Steak Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $23.50 +1765 1 Carnitas Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +1765 1 Chips NULL $2.15 +1765 1 Canned Soft Drink [Coke] $1.25 +1766 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +1766 1 Chips and Guacamole NULL $4.45 +1766 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +1766 1 Steak Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Sour Cream, Guacamole]] $11.75 +1767 2 Chicken Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Lettuce]] $17.50 +1768 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1768 1 Carnitas Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1768 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +1769 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1769 1 Chips and Guacamole NULL $4.45 +1770 1 Barbacoa Bowl [Tomatillo Green Chili Salsa, [Rice, Cheese, Guacamole, Lettuce]] $11.75 +1770 1 Bottled Water NULL $1.50 +1771 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1771 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream]] $8.75 +1772 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Cheese, Lettuce, Guacamole]] $11.75 +1772 1 Steak Burrito [Tomatillo Red Chili Salsa, [Rice, Black Beans, Cheese]] $9.25 +1772 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +1773 1 Chips and Guacamole NULL $4.45 +1773 1 Steak Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.75 +1774 1 Carnitas Crispy Tacos [Fresh Tomato Salsa, [Pinto Beans, Sour Cream, Cheese, Lettuce]] $9.25 +1774 1 Chips and Guacamole NULL $4.45 +1775 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1775 1 Chicken Crispy Tacos [Tomatillo Red Chili Salsa, [Black Beans, Cheese]] $8.75 +1775 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Pinto Beans, Cheese]] $8.75 +1776 1 Chips NULL $2.15 +1776 1 Bottled Water NULL $1.50 +1776 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +1777 1 Chips and Guacamole NULL $4.45 +1777 1 Steak Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Lettuce]] $9.25 +1778 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese]] $8.75 +1778 1 Bottled Water NULL $1.50 +1778 1 Canned Soft Drink [Lemonade] $1.25 +1778 1 Canned Soft Drink [Lemonade] $1.25 +1779 1 Canned Soft Drink [Diet Coke] $1.25 +1779 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $8.75 +1779 1 Chips and Tomatillo Red Chili Salsa NULL $2.95 +1780 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1780 1 Veggie Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1781 1 Bottled Water NULL $1.50 +1781 1 Steak Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1782 1 Veggie Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1782 1 Chips NULL $2.15 +1783 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Lettuce]] $9.25 +1783 1 Chicken Soft Tacos [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Sour Cream, Cheese, Lettuce]] $8.75 +1784 1 Carnitas Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1784 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1785 1 Bottled Water NULL $1.50 +1785 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +1785 1 Bottled Water NULL $1.50 +1785 1 Canned Soft Drink [Diet Coke] $1.25 +1786 1 Chicken Bowl [Fresh Tomato Salsa, Rice] $8.75 +1786 1 Carnitas Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1786 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1786 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1786 1 Barbacoa Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Guacamole, Lettuce]] $11.75 +1786 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1786 1 Carnitas Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Guacamole, Lettuce]] $11.75 +1786 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Sour Cream, Lettuce]] $8.75 +1786 4 Chips and Guacamole NULL $17.80 +1786 4 Canned Soft Drink [Coke] $5.00 +1786 4 Canned Soft Drink [Sprite] $5.00 +1787 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1787 1 Chips and Tomatillo Green Chili Salsa NULL $2.95 +1787 1 Canned Soft Drink [Lemonade] $1.25 +1788 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Pinto Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +1788 1 Canned Soft Drink [Sprite] $1.25 +1788 1 Chips NULL $2.15 +1789 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Sour Cream, Guacamole]] $11.25 +1789 2 Canned Soft Drink [Coke] $2.50 +1789 1 Carnitas Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $9.25 +1790 1 Canned Soft Drink [Sprite] $1.25 +1790 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Cheese, Guacamole, Lettuce]] $11.25 +1790 1 Chips and Fresh Tomato Salsa NULL $2.95 +1791 1 Carnitas Bowl [Fresh Tomato Salsa, [Rice, Sour Cream, Guacamole, Lettuce]] $11.75 +1791 1 Chips NULL $2.15 +1792 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.25 +1792 1 Bottled Water NULL $1.50 +1793 1 Steak Burrito [Brown Rice] $8.99 +1793 1 Chips NULL $1.99 +1793 1 Barbacoa Bowl [Guacamole] $11.49 +1794 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Fajita Vegetables, Cheese, Lettuce]] $8.75 +1794 1 Chips and Guacamole NULL $4.45 +1794 1 Canned Soft Drink [Diet Coke] $1.25 +1795 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +1795 1 Chips and Guacamole NULL $4.45 +1795 1 Canned Soft Drink [Sprite] $1.25 +1796 1 Bottled Water NULL $1.50 +1796 1 Steak Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.75 +1797 1 Veggie Burrito [Fresh Tomato Salsa, [Rice, Pinto Beans, Cheese]] $8.75 +1797 1 Chicken Salad Bowl [Fresh Tomato Salsa, Lettuce] $8.75 +1798 1 Chicken Burrito [Roasted Chili Corn Salsa, [Guacamole, Lettuce, Rice, Fajita Vegetables, Sour Cream]] $11.25 +1798 1 6 Pack Soft Drink [Diet Coke] $6.49 +1798 1 Steak Crispy Tacos [Tomatillo Green Chili Salsa, [Cheese, Sour Cream, Guacamole]] $11.75 +1799 1 Chicken Burrito [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese]] $8.75 +1799 1 Chips NULL $2.15 +1799 1 Canned Soft Drink [Sprite] $1.25 +1800 1 6 Pack Soft Drink [Diet Coke] $6.49 +1800 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +1800 1 Chips and Guacamole NULL $4.45 +1801 1 Chicken Burrito [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Lettuce]] $8.75 +1801 1 Chips and Guacamole NULL $4.45 +1802 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1802 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1803 1 Chips and Guacamole NULL $4.45 +1803 1 6 Pack Soft Drink [Lemonade] $6.49 +1803 1 Steak Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Cheese]] $9.25 +1804 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1804 1 Canned Soft Drink [Coke] $1.25 +1804 1 Chips and Guacamole NULL $4.45 +1805 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +1805 1 Veggie Salad Bowl [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1806 1 Bottled Water NULL $1.50 +1806 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +1806 1 Bottled Water NULL $1.50 +1806 1 Canned Soft Drink [Diet Coke] $1.25 +1807 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese]] $9.25 +1807 1 Steak Salad Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Cheese]] $9.39 +1808 1 Chips and Guacamole NULL $4.45 +1808 1 Steak Soft Tacos [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Cheese, Sour Cream]] $9.25 +1809 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Fajita Vegetables, Cheese, Sour Cream]] $8.75 +1809 1 Chips and Guacamole NULL $4.45 +1809 1 Canned Soft Drink [Sprite] $1.25 +1810 1 Chicken Bowl [Roasted Chili Corn Salsa, [Black Beans, Sour Cream, Cheese, Guacamole]] $11.25 +1810 1 Steak Crispy Tacos [Roasted Chili Corn Salsa, [Fajita Vegetables, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1811 1 Chicken Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream, Lettuce]] $8.75 +1811 1 Chicken Burrito [Tomatillo Green Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1811 1 Carnitas Soft Tacos [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1812 1 Chicken Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1812 1 Chicken Burrito [Tomatillo Red Chili Salsa, [Rice, Cheese, Guacamole, Lettuce]] $11.25 +1812 2 Canned Soft Drink [Coke] $2.50 +1813 2 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Pinto Beans, Lettuce]] $17.50 +1814 1 Carnitas Bowl [Roasted Chili Corn Salsa, [Fajita Vegetables, Rice, Cheese, Sour Cream]] $9.25 +1814 1 Chips and Guacamole NULL $4.45 +1815 1 Chicken Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Pinto Beans, Cheese, Guacamole, Lettuce]] $11.25 +1815 1 Canned Soft Drink [Sprite] $1.25 +1816 1 Chicken Burrito [Roasted Chili Corn Salsa, [Pinto Beans, Cheese, Sour Cream]] $8.75 +1816 1 Chips and Guacamole NULL $4.45 +1817 1 Bottled Water NULL $1.50 +1817 1 Chicken Burrito [Fresh Tomato Salsa, [Fajita Vegetables, Rice]] $8.75 +1817 1 Bottled Water NULL $1.50 +1817 1 Canned Soft Drink [Diet Coke] $1.25 +1818 1 Steak Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Lettuce]] $9.39 +1818 1 Veggie Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Pinto Beans, Lettuce]] $8.75 +1819 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Cheese, Lettuce]] $8.75 +1819 1 Chips and Guacamole NULL $4.45 +1820 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.25 +1820 1 Canned Soft Drink [Coke] $1.25 +1821 1 Carnitas Burrito [Tomatillo Green Chili Salsa, [Rice, Pinto Beans, Sour Cream]] $9.25 +1821 1 Chips and Guacamole NULL $4.45 +1822 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Black Beans, Cheese, Guacamole]] $11.25 +1822 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Pinto Beans, Cheese, Sour Cream, Lettuce]] $8.75 +1822 2 Bottled Water NULL $3.00 +1823 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans, Sour Cream, Lettuce]] $8.75 +1823 1 Chips NULL $2.15 +1823 1 Canned Soft Drink [Diet Coke] $1.25 +1824 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole, Lettuce]] $11.25 +1824 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream, Guacamole]] $11.25 +1824 1 Chips and Guacamole NULL $4.45 +1825 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.25 +1825 1 Chicken Bowl [Roasted Chili Corn Salsa, [Rice, Black Beans, Cheese, Lettuce, Guacamole]] $11.25 +1825 1 Chicken Bowl [Tomatillo Red Chili Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce]] $8.75 +1825 1 Barbacoa Burrito [Tomatillo Red Chili Salsa, [Rice, Fajita Vegetables, Black Beans, Sour Cream, Cheese, Guacamole]] $11.75 +1825 1 Carnitas Bowl [Roasted Chili Corn Salsa, [Rice, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1825 1 Barbacoa Bowl [Roasted Chili Corn Salsa, [Pinto Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1826 1 Chicken Bowl [Tomatillo Green Chili Salsa, [Rice, Black Beans]] $8.75 +1826 1 Chips and Guacamole NULL $4.45 +1826 1 Canned Soft Drink [Nestea] $1.25 +1826 1 Bottled Water NULL $1.50 +1827 1 Chicken Bowl [Roasted Chili Corn Salsa, [Cheese, Lettuce]] $8.75 +1827 1 Chips and Guacamole NULL $4.45 +1827 1 Canned Soft Drink [Diet Coke] $1.25 +1827 1 Barbacoa Burrito [Tomatillo Green Chili Salsa] $9.25 +1827 1 Barbacoa Burrito [Tomatillo Green Chili Salsa] $9.25 +1828 1 Chicken Bowl [Fresh Tomato Salsa, [Rice, Black Beans, Cheese, Sour Cream]] $8.75 +1828 1 Chips and Guacamole NULL $4.45 +1828 1 Canned Soft Drink [Coke] $1.25 +1829 1 Steak Burrito [Tomatillo Green Chili Salsa, [Rice, Cheese, Sour Cream, Guacamole]] $11.75 +1829 1 Veggie Burrito [Tomatillo Red Chili Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Guacamole, Lettuce]] $11.25 +1829 1 Canned Soft Drink [Sprite] $1.25 +1830 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1830 1 Veggie Burrito [Tomatillo Green Chili Salsa, [Rice, Fajita Vegetables, Black Beans, Guacamole]] $11.25 +1831 1 Carnitas Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Rice, Black Beans, Cheese, Sour Cream, Lettuce]] $9.25 +1831 1 Chips NULL $2.15 +1831 1 Bottled Water NULL $1.50 +1832 1 Chicken Soft Tacos [Fresh Tomato Salsa, [Rice, Cheese, Sour Cream]] $8.75 +1832 1 Chips and Guacamole NULL $4.45 +1833 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Black Beans, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1833 1 Steak Burrito [Fresh Tomato Salsa, [Rice, Sour Cream, Cheese, Lettuce, Guacamole]] $11.75 +1834 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Pinto Beans, Guacamole, Lettuce]] $11.25 +1834 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Lettuce]] $8.75 +1834 1 Chicken Salad Bowl [Fresh Tomato Salsa, [Fajita Vegetables, Pinto Beans, Lettuce]] $8.75 diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/drinks.csv b/appkits/qpyapp/src/qpynotes/topics/pandas/data/drinks.csv new file mode 100644 index 0000000..da73437 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/drinks.csv @@ -0,0 +1,194 @@ +country,beer_servings,spirit_servings,wine_servings,total_litres_of_pure_alcohol,continent +Afghanistan,0,0,0,0.0,Asia +Albania,89,132,54,4.9,Europe +Algeria,25,0,14,0.7,Africa +Andorra,245,138,312,12.4,Europe +Angola,217,57,45,5.9,Africa +Antigua & Barbuda,102,128,45,4.9,North America +Argentina,193,25,221,8.3,South America +Armenia,21,179,11,3.8,Europe +Australia,261,72,212,10.4,Oceania +Austria,279,75,191,9.7,Europe +Azerbaijan,21,46,5,1.3,Europe +Bahamas,122,176,51,6.3,North America +Bahrain,42,63,7,2.0,Asia +Bangladesh,0,0,0,0.0,Asia +Barbados,143,173,36,6.3,North America +Belarus,142,373,42,14.4,Europe +Belgium,295,84,212,10.5,Europe +Belize,263,114,8,6.8,North America +Benin,34,4,13,1.1,Africa +Bhutan,23,0,0,0.4,Asia +Bolivia,167,41,8,3.8,South America +Bosnia-Herzegovina,76,173,8,4.6,Europe +Botswana,173,35,35,5.4,Africa +Brazil,245,145,16,7.2,South America +Brunei,31,2,1,0.6,Asia +Bulgaria,231,252,94,10.3,Europe +Burkina Faso,25,7,7,4.3,Africa +Burundi,88,0,0,6.3,Africa +Cote d'Ivoire,37,1,7,4.0,Africa +Cabo Verde,144,56,16,4.0,Africa +Cambodia,57,65,1,2.2,Asia +Cameroon,147,1,4,5.8,Africa +Canada,240,122,100,8.2,North America +Central African Republic,17,2,1,1.8,Africa +Chad,15,1,1,0.4,Africa +Chile,130,124,172,7.6,South America +China,79,192,8,5.0,Asia +Colombia,159,76,3,4.2,South America +Comoros,1,3,1,0.1,Africa +Congo,76,1,9,1.7,Africa +Cook Islands,0,254,74,5.9,Oceania +Costa Rica,149,87,11,4.4,North America +Croatia,230,87,254,10.2,Europe +Cuba,93,137,5,4.2,North America +Cyprus,192,154,113,8.2,Europe +Czech Republic,361,170,134,11.8,Europe +North Korea,0,0,0,0.0,Asia +DR Congo,32,3,1,2.3,Africa +Denmark,224,81,278,10.4,Europe +Djibouti,15,44,3,1.1,Africa +Dominica,52,286,26,6.6,North America +Dominican Republic,193,147,9,6.2,North America +Ecuador,162,74,3,4.2,South America +Egypt,6,4,1,0.2,Africa +El Salvador,52,69,2,2.2,North America +Equatorial Guinea,92,0,233,5.8,Africa +Eritrea,18,0,0,0.5,Africa +Estonia,224,194,59,9.5,Europe +Ethiopia,20,3,0,0.7,Africa +Fiji,77,35,1,2.0,Oceania +Finland,263,133,97,10.0,Europe +France,127,151,370,11.8,Europe +Gabon,347,98,59,8.9,Africa +Gambia,8,0,1,2.4,Africa +Georgia,52,100,149,5.4,Europe +Germany,346,117,175,11.3,Europe +Ghana,31,3,10,1.8,Africa +Greece,133,112,218,8.3,Europe +Grenada,199,438,28,11.9,North America +Guatemala,53,69,2,2.2,North America +Guinea,9,0,2,0.2,Africa +Guinea-Bissau,28,31,21,2.5,Africa +Guyana,93,302,1,7.1,South America +Haiti,1,326,1,5.9,North America +Honduras,69,98,2,3.0,North America +Hungary,234,215,185,11.3,Europe +Iceland,233,61,78,6.6,Europe +India,9,114,0,2.2,Asia +Indonesia,5,1,0,0.1,Asia +Iran,0,0,0,0.0,Asia +Iraq,9,3,0,0.2,Asia +Ireland,313,118,165,11.4,Europe +Israel,63,69,9,2.5,Asia +Italy,85,42,237,6.5,Europe +Jamaica,82,97,9,3.4,North America +Japan,77,202,16,7.0,Asia +Jordan,6,21,1,0.5,Asia +Kazakhstan,124,246,12,6.8,Asia +Kenya,58,22,2,1.8,Africa +Kiribati,21,34,1,1.0,Oceania +Kuwait,0,0,0,0.0,Asia +Kyrgyzstan,31,97,6,2.4,Asia +Laos,62,0,123,6.2,Asia +Latvia,281,216,62,10.5,Europe +Lebanon,20,55,31,1.9,Asia +Lesotho,82,29,0,2.8,Africa +Liberia,19,152,2,3.1,Africa +Libya,0,0,0,0.0,Africa +Lithuania,343,244,56,12.9,Europe +Luxembourg,236,133,271,11.4,Europe +Madagascar,26,15,4,0.8,Africa +Malawi,8,11,1,1.5,Africa +Malaysia,13,4,0,0.3,Asia +Maldives,0,0,0,0.0,Asia +Mali,5,1,1,0.6,Africa +Malta,149,100,120,6.6,Europe +Marshall Islands,0,0,0,0.0,Oceania +Mauritania,0,0,0,0.0,Africa +Mauritius,98,31,18,2.6,Africa +Mexico,238,68,5,5.5,North America +Micronesia,62,50,18,2.3,Oceania +Monaco,0,0,0,0.0,Europe +Mongolia,77,189,8,4.9,Asia +Montenegro,31,114,128,4.9,Europe +Morocco,12,6,10,0.5,Africa +Mozambique,47,18,5,1.3,Africa +Myanmar,5,1,0,0.1,Asia +Namibia,376,3,1,6.8,Africa +Nauru,49,0,8,1.0,Oceania +Nepal,5,6,0,0.2,Asia +Netherlands,251,88,190,9.4,Europe +New Zealand,203,79,175,9.3,Oceania +Nicaragua,78,118,1,3.5,North America +Niger,3,2,1,0.1,Africa +Nigeria,42,5,2,9.1,Africa +Niue,188,200,7,7.0,Oceania +Norway,169,71,129,6.7,Europe +Oman,22,16,1,0.7,Asia +Pakistan,0,0,0,0.0,Asia +Palau,306,63,23,6.9,Oceania +Panama,285,104,18,7.2,North America +Papua New Guinea,44,39,1,1.5,Oceania +Paraguay,213,117,74,7.3,South America +Peru,163,160,21,6.1,South America +Philippines,71,186,1,4.6,Asia +Poland,343,215,56,10.9,Europe +Portugal,194,67,339,11.0,Europe +Qatar,1,42,7,0.9,Asia +South Korea,140,16,9,9.8,Asia +Moldova,109,226,18,6.3,Europe +Romania,297,122,167,10.4,Europe +Russian Federation,247,326,73,11.5,Asia +Rwanda,43,2,0,6.8,Africa +St. Kitts & Nevis,194,205,32,7.7,North America +St. Lucia,171,315,71,10.1,North America +St. Vincent & the Grenadines,120,221,11,6.3,North America +Samoa,105,18,24,2.6,Oceania +San Marino,0,0,0,0.0,Europe +Sao Tome & Principe,56,38,140,4.2,Africa +Saudi Arabia,0,5,0,0.1,Asia +Senegal,9,1,7,0.3,Africa +Serbia,283,131,127,9.6,Europe +Seychelles,157,25,51,4.1,Africa +Sierra Leone,25,3,2,6.7,Africa +Singapore,60,12,11,1.5,Asia +Slovakia,196,293,116,11.4,Europe +Slovenia,270,51,276,10.6,Europe +Solomon Islands,56,11,1,1.2,Oceania +Somalia,0,0,0,0.0,Africa +South Africa,225,76,81,8.2,Africa +Spain,284,157,112,10.0,Europe +Sri Lanka,16,104,0,2.2,Asia +Sudan,8,13,0,1.7,Africa +Suriname,128,178,7,5.6,South America +Swaziland,90,2,2,4.7,Africa +Sweden,152,60,186,7.2,Europe +Switzerland,185,100,280,10.2,Europe +Syria,5,35,16,1.0,Asia +Tajikistan,2,15,0,0.3,Asia +Thailand,99,258,1,6.4,Asia +Macedonia,106,27,86,3.9,Europe +Timor-Leste,1,1,4,0.1,Asia +Togo,36,2,19,1.3,Africa +Tonga,36,21,5,1.1,Oceania +Trinidad & Tobago,197,156,7,6.4,North America +Tunisia,51,3,20,1.3,Africa +Turkey,51,22,7,1.4,Asia +Turkmenistan,19,71,32,2.2,Asia +Tuvalu,6,41,9,1.0,Oceania +Uganda,45,9,0,8.3,Africa +Ukraine,206,237,45,8.9,Europe +United Arab Emirates,16,135,5,2.8,Asia +United Kingdom,219,126,195,10.4,Europe +Tanzania,36,6,1,5.7,Africa +USA,249,158,84,8.7,North America +Uruguay,115,35,220,6.6,South America +Uzbekistan,25,101,8,2.4,Asia +Vanuatu,21,18,11,0.9,Oceania +Venezuela,333,100,3,7.7,South America +Vietnam,111,2,1,2.0,Asia +Yemen,6,0,0,0.1,Asia +Zambia,32,19,4,2.5,Africa +Zimbabwe,64,18,4,4.7,Africa diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/drinks1.csv b/appkits/qpyapp/src/qpynotes/topics/pandas/data/drinks1.csv new file mode 100644 index 0000000..d94e747 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/drinks1.csv @@ -0,0 +1,194 @@ +country,beer_servings,spirit_servings +Afghanistan,0,0 +Albania,89,132 +Algeria,25,0 +Andorra,245,138 +Angola,217,57 +Antigua & Barbuda,102,128 +Argentina,193,25 +Armenia,21,179 +Australia,261,72 +Austria,279,75 +Azerbaijan,21,46 +Bahamas,122,176 +Bahrain,42,63 +Bangladesh,0,0 +Barbados,143,173 +Belarus,142,373 +Belgium,295,84 +Belize,263,114 +Benin,34,4 +Bhutan,23,0 +Bolivia,167,41 +Bosnia-Herzegovina,76,173 +Botswana,173,35 +Brazil,245,145 +Brunei,31,2 +Bulgaria,231,252 +Burkina Faso,25,7 +Burundi,88,0 +Cote d'Ivoire,37,1 +Cabo Verde,144,56 +Cambodia,57,65 +Cameroon,147,1 +Canada,240,122 +Central African Republic,17,2 +Chad,15,1 +Chile,130,124 +China,79,192 +Colombia,159,76 +Comoros,1,3 +Congo,76,1 +Cook Islands,0,254 +Costa Rica,149,87 +Croatia,230,87 +Cuba,93,137 +Cyprus,192,154 +Czech Republic,361,170 +North Korea,0,0 +DR Congo,32,3 +Denmark,224,81 +Djibouti,15,44 +Dominica,52,286 +Dominican Republic,193,147 +Ecuador,162,74 +Egypt,6,4 +El Salvador,52,69 +Equatorial Guinea,92,0 +Eritrea,18,0 +Estonia,224,194 +Ethiopia,20,3 +Fiji,77,35 +Finland,263,133 +France,127,151 +Gabon,347,98 +Gambia,8,0 +Georgia,52,100 +Germany,346,117 +Ghana,31,3 +Greece,133,112 +Grenada,199,438 +Guatemala,53,69 +Guinea,9,0 +Guinea-Bissau,28,31 +Guyana,93,302 +Haiti,1,326 +Honduras,69,98 +Hungary,234,215 +Iceland,233,61 +India,9,114 +Indonesia,5,1 +Iran,0,0 +Iraq,9,3 +Ireland,313,118 +Israel,63,69 +Italy,85,42 +Jamaica,82,97 +Japan,77,202 +Jordan,6,21 +Kazakhstan,124,246 +Kenya,58,22 +Kiribati,21,34 +Kuwait,0,0 +Kyrgyzstan,31,97 +Laos,62,0 +Latvia,281,216 +Lebanon,20,55 +Lesotho,82,29 +Liberia,19,152 +Libya,0,0 +Lithuania,343,244 +Luxembourg,236,133 +Madagascar,26,15 +Malawi,8,11 +Malaysia,13,4 +Maldives,0,0 +Mali,5,1 +Malta,149,100 +Marshall Islands,0,0 +Mauritania,0,0 +Mauritius,98,31 +Mexico,238,68 +Micronesia,62,50 +Monaco,0,0 +Mongolia,77,189 +Montenegro,31,114 +Morocco,12,6 +Mozambique,47,18 +Myanmar,5,1 +Namibia,376,3 +Nauru,49,0 +Nepal,5,6 +Netherlands,251,88 +New Zealand,203,79 +Nicaragua,78,118 +Niger,3,2 +Nigeria,42,5 +Niue,188,200 +Norway,169,71 +Oman,22,16 +Pakistan,0,0 +Palau,306,63 +Panama,285,104 +Papua New Guinea,44,39 +Paraguay,213,117 +Peru,163,160 +Philippines,71,186 +Poland,343,215 +Portugal,194,67 +Qatar,1,42 +South Korea,140,16 +Moldova,109,226 +Romania,297,122 +Russian Federation,247,326 +Rwanda,43,2 +St. Kitts & Nevis,194,205 +St. Lucia,171,315 +St. Vincent & the Grenadines,120,221 +Samoa,105,18 +San Marino,0,0 +Sao Tome & Principe,56,38 +Saudi Arabia,0,5 +Senegal,9,1 +Serbia,283,131 +Seychelles,157,25 +Sierra Leone,25,3 +Singapore,60,12 +Slovakia,196,293 +Slovenia,270,51 +Solomon Islands,56,11 +Somalia,0,0 +South Africa,225,76 +Spain,284,157 +Sri Lanka,16,104 +Sudan,8,13 +Suriname,128,178 +Swaziland,90,2 +Sweden,152,60 +Switzerland,185,100 +Syria,5,35 +Tajikistan,2,15 +Thailand,99,258 +Macedonia,106,27 +Timor-Leste,1,1 +Togo,36,2 +Tonga,36,21 +Trinidad & Tobago,197,156 +Tunisia,51,3 +Turkey,51,22 +Turkmenistan,19,71 +Tuvalu,6,41 +Uganda,45,9 +Ukraine,206,237 +United Arab Emirates,16,135 +United Kingdom,219,126 +Tanzania,36,6 +USA,249,158 +Uruguay,115,35 +Uzbekistan,25,101 +Vanuatu,21,18 +Venezuela,333,100 +Vietnam,111,2 +Yemen,6,0 +Zambia,32,19 +Zimbabwe,64,18 diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/drinks2.csv b/appkits/qpyapp/src/qpynotes/topics/pandas/data/drinks2.csv new file mode 100644 index 0000000..5370783 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/drinks2.csv @@ -0,0 +1,194 @@ +wine_servings,total_litres_of_pure_alcohol,continent +0,0.0,Asia +54,4.9,Europe +14,0.7,Africa +312,12.4,Europe +45,5.9,Africa +45,4.9,North America +221,8.3,South America +11,3.8,Europe +212,10.4,Oceania +191,9.7,Europe +5,1.3,Europe +51,6.3,North America +7,2.0,Asia +0,0.0,Asia +36,6.3,North America +42,14.4,Europe +212,10.5,Europe +8,6.8,North America +13,1.1,Africa +0,0.4,Asia +8,3.8,South America +8,4.6,Europe +35,5.4,Africa +16,7.2,South America +1,0.6,Asia +94,10.3,Europe +7,4.3,Africa +0,6.3,Africa +7,4.0,Africa +16,4.0,Africa +1,2.2,Asia +4,5.8,Africa +100,8.2,North America +1,1.8,Africa +1,0.4,Africa +172,7.6,South America +8,5.0,Asia +3,4.2,South America +1,0.1,Africa +9,1.7,Africa +74,5.9,Oceania +11,4.4,North America +254,10.2,Europe +5,4.2,North America +113,8.2,Europe +134,11.8,Europe +0,0.0,Asia +1,2.3,Africa +278,10.4,Europe +3,1.1,Africa +26,6.6,North America +9,6.2,North America +3,4.2,South America +1,0.2,Africa +2,2.2,North America +233,5.8,Africa +0,0.5,Africa +59,9.5,Europe +0,0.7,Africa +1,2.0,Oceania +97,10.0,Europe +370,11.8,Europe +59,8.9,Africa +1,2.4,Africa +149,5.4,Europe +175,11.3,Europe +10,1.8,Africa +218,8.3,Europe +28,11.9,North America +2,2.2,North America +2,0.2,Africa +21,2.5,Africa +1,7.1,South America +1,5.9,North America +2,3.0,North America +185,11.3,Europe +78,6.6,Europe +0,2.2,Asia +0,0.1,Asia +0,0.0,Asia +0,0.2,Asia +165,11.4,Europe +9,2.5,Asia +237,6.5,Europe +9,3.4,North America +16,7.0,Asia +1,0.5,Asia +12,6.8,Asia +2,1.8,Africa +1,1.0,Oceania +0,0.0,Asia +6,2.4,Asia +123,6.2,Asia +62,10.5,Europe +31,1.9,Asia +0,2.8,Africa +2,3.1,Africa +0,0.0,Africa +56,12.9,Europe +271,11.4,Europe +4,0.8,Africa +1,1.5,Africa +0,0.3,Asia +0,0.0,Asia +1,0.6,Africa +120,6.6,Europe +0,0.0,Oceania +0,0.0,Africa +18,2.6,Africa +5,5.5,North America +18,2.3,Oceania +0,0.0,Europe +8,4.9,Asia +128,4.9,Europe +10,0.5,Africa +5,1.3,Africa +0,0.1,Asia +1,6.8,Africa +8,1.0,Oceania +0,0.2,Asia +190,9.4,Europe +175,9.3,Oceania +1,3.5,North America +1,0.1,Africa +2,9.1,Africa +7,7.0,Oceania +129,6.7,Europe +1,0.7,Asia +0,0.0,Asia +23,6.9,Oceania +18,7.2,North America +1,1.5,Oceania +74,7.3,South America +21,6.1,South America +1,4.6,Asia +56,10.9,Europe +339,11.0,Europe +7,0.9,Asia +9,9.8,Asia +18,6.3,Europe +167,10.4,Europe +73,11.5,Asia +0,6.8,Africa +32,7.7,North America +71,10.1,North America +11,6.3,North America +24,2.6,Oceania +0,0.0,Europe +140,4.2,Africa +0,0.1,Asia +7,0.3,Africa +127,9.6,Europe +51,4.1,Africa +2,6.7,Africa +11,1.5,Asia +116,11.4,Europe +276,10.6,Europe +1,1.2,Oceania +0,0.0,Africa +81,8.2,Africa +112,10.0,Europe +0,2.2,Asia +0,1.7,Africa +7,5.6,South America +2,4.7,Africa +186,7.2,Europe +280,10.2,Europe +16,1.0,Asia +0,0.3,Asia +1,6.4,Asia +86,3.9,Europe +4,0.1,Asia +19,1.3,Africa +5,1.1,Oceania +7,6.4,North America +20,1.3,Africa +7,1.4,Asia +32,2.2,Asia +9,1.0,Oceania +0,8.3,Africa +45,8.9,Europe +5,2.8,Asia +195,10.4,Europe +1,5.7,Africa +84,8.7,North America +220,6.6,South America +8,2.4,Asia +11,0.9,Oceania +3,7.7,South America +1,2.0,Asia +0,0.1,Asia +4,2.5,Africa +4,4.7,Africa diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/fake_items.csv b/appkits/qpyapp/src/qpynotes/topics/pandas/data/fake_items.csv new file mode 100644 index 0000000..1e936da --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/fake_items.csv @@ -0,0 +1,4 @@ +sku,name +1,A +2,B +3,C diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/fake_ratings.csv b/appkits/qpyapp/src/qpynotes/topics/pandas/data/fake_ratings.csv new file mode 100644 index 0000000..8861b07 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/fake_ratings.csv @@ -0,0 +1,7 @@ +sku,rating,user_id +2,10,100 +2,8,101 +1,5,102 +4,9,103 +1,6,104 +4,7,105 diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/imdb_1000.csv b/appkits/qpyapp/src/qpynotes/topics/pandas/data/imdb_1000.csv new file mode 100644 index 0000000..2d519da --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/imdb_1000.csv @@ -0,0 +1,980 @@ +star_rating,title,content_rating,genre,duration,actors_list +9.3,The Shawshank Redemption,R,Crime,142,"[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunton']" +9.2,The Godfather,R,Crime,175,"[u'Marlon Brando', u'Al Pacino', u'James Caan']" +9.1,The Godfather: Part II,R,Crime,200,"[u'Al Pacino', u'Robert De Niro', u'Robert Duvall']" +9,The Dark Knight,PG-13,Action,152,"[u'Christian Bale', u'Heath Ledger', u'Aaron Eckhart']" +8.9,Pulp Fiction,R,Crime,154,"[u'John Travolta', u'Uma Thurman', u'Samuel L. Jackson']" +8.9,12 Angry Men,NOT RATED,Drama,96,"[u'Henry Fonda', u'Lee J. Cobb', u'Martin Balsam']" +8.9,"The Good, the Bad and the Ugly",NOT RATED,Western,161,"[u'Clint Eastwood', u'Eli Wallach', u'Lee Van Cleef']" +8.9,The Lord of the Rings: The Return of the King,PG-13,Adventure,201,"[u'Elijah Wood', u'Viggo Mortensen', u'Ian McKellen']" +8.9,Schindler's List,R,Biography,195,"[u'Liam Neeson', u'Ralph Fiennes', u'Ben Kingsley']" +8.9,Fight Club,R,Drama,139,"[u'Brad Pitt', u'Edward Norton', u'Helena Bonham Carter']" +8.8,The Lord of the Rings: The Fellowship of the Ring,PG-13,Adventure,178,"[u'Elijah Wood', u'Ian McKellen', u'Orlando Bloom']" +8.8,Inception,PG-13,Action,148,"[u'Leonardo DiCaprio', u'Joseph Gordon-Levitt', u'Ellen Page']" +8.8,Star Wars: Episode V - The Empire Strikes Back,PG,Action,124,"[u'Mark Hamill', u'Harrison Ford', u'Carrie Fisher']" +8.8,Forrest Gump,PG-13,Drama,142,"[u'Tom Hanks', u'Robin Wright', u'Gary Sinise']" +8.8,The Lord of the Rings: The Two Towers,PG-13,Adventure,179,"[u'Elijah Wood', u'Ian McKellen', u'Viggo Mortensen']" +8.7,Interstellar,PG-13,Adventure,169,"[u'Matthew McConaughey', u'Anne Hathaway', u'Jessica Chastain']" +8.7,One Flew Over the Cuckoo's Nest,R,Drama,133,"[u'Jack Nicholson', u'Louise Fletcher', u'Michael Berryman']" +8.7,Seven Samurai,UNRATED,Drama,207,"[u'Toshir\xf4 Mifune', u'Takashi Shimura', u'Keiko Tsushima']" +8.7,Goodfellas,R,Biography,146,"[u'Robert De Niro', u'Ray Liotta', u'Joe Pesci']" +8.7,Star Wars,PG,Action,121,"[u'Mark Hamill', u'Harrison Ford', u'Carrie Fisher']" +8.7,The Matrix,R,Action,136,"[u'Keanu Reeves', u'Laurence Fishburne', u'Carrie-Anne Moss']" +8.7,City of God,R,Crime,130,"[u'Alexandre Rodrigues', u'Matheus Nachtergaele', u'Leandro Firmino']" +8.7,It's a Wonderful Life,APPROVED,Drama,130,"[u'James Stewart', u'Donna Reed', u'Lionel Barrymore']" +8.7,The Usual Suspects,R,Crime,106,"[u'Kevin Spacey', u'Gabriel Byrne', u'Chazz Palminteri']" +8.7,Se7en,R,Drama,127,"[u'Morgan Freeman', u'Brad Pitt', u'Kevin Spacey']" +8.6,Life Is Beautiful,PG-13,Comedy,116,"[u'Roberto Benigni', u'Nicoletta Braschi', u'Giorgio Cantarini']" +8.6,Once Upon a Time in the West,PG-13,Western,175,"[u'Henry Fonda', u'Charles Bronson', u'Claudia Cardinale']" +8.6,The Silence of the Lambs,R,Drama,118,"[u'Jodie Foster', u'Anthony Hopkins', u'Lawrence A. Bonney']" +8.6,Leon: The Professional,R,Crime,110,"[u'Jean Reno', u'Gary Oldman', u'Natalie Portman']" +8.6,City Lights,PASSED,Comedy,87,"[u'Charles Chaplin', u'Virginia Cherrill', u'Florence Lee']" +8.6,Spirited Away,PG,Animation,125,"[u'Daveigh Chase', u'Suzanne Pleshette', u'Miyu Irino']" +8.6,The Intouchables,R,Biography,112,"[u'Fran\xe7ois Cluzet', u'Omar Sy', u'Anne Le Ny']" +8.6,Casablanca,PG,Drama,102,"[u'Humphrey Bogart', u'Ingrid Bergman', u'Paul Henreid']" +8.6,Whiplash,R,Drama,107,"[u'Miles Teller', u'J.K. Simmons', u'Melissa Benoist']" +8.6,American History X,R,Crime,119,"[u'Edward Norton', u'Edward Furlong', u""Beverly D'Angelo""]" +8.6,Modern Times,G,Comedy,87,"[u'Charles Chaplin', u'Paulette Goddard', u'Henry Bergman']" +8.6,Saving Private Ryan,R,Action,169,"[u'Tom Hanks', u'Matt Damon', u'Tom Sizemore']" +8.6,Raiders of the Lost Ark,PG,Action,115,"[u'Harrison Ford', u'Karen Allen', u'Paul Freeman']" +8.6,Rear Window,APPROVED,Mystery,112,"[u'James Stewart', u'Grace Kelly', u'Wendell Corey']" +8.6,Psycho,R,Horror,109,"[u'Anthony Perkins', u'Janet Leigh', u'Vera Miles']" +8.5,The Green Mile,R,Crime,189,"[u'Tom Hanks', u'Michael Clarke Duncan', u'David Morse']" +8.5,Sunset Blvd.,NOT RATED,Drama,110,"[u'William Holden', u'Gloria Swanson', u'Erich von Stroheim']" +8.5,The Pianist,R,Biography,150,"[u'Adrien Brody', u'Thomas Kretschmann', u'Frank Finlay']" +8.5,The Dark Knight Rises,PG-13,Action,165,"[u'Christian Bale', u'Tom Hardy', u'Anne Hathaway']" +8.5,Gladiator,R,Action,155,"[u'Russell Crowe', u'Joaquin Phoenix', u'Connie Nielsen']" +8.5,Terminator 2: Judgment Day,R,Action,137,"[u'Arnold Schwarzenegger', u'Linda Hamilton', u'Edward Furlong']" +8.5,Memento,R,Mystery,113,"[u'Guy Pearce', u'Carrie-Anne Moss', u'Joe Pantoliano']" +8.5,Taare Zameen Par,PG,Drama,165,"[u'Darsheel Safary', u'Aamir Khan', u'Tanay Chheda']" +8.5,Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb,PG,Comedy,95,"[u'Peter Sellers', u'George C. Scott', u'Sterling Hayden']" +8.5,The Departed,R,Crime,151,"[u'Leonardo DiCaprio', u'Matt Damon', u'Jack Nicholson']" +8.5,Cinema Paradiso,R,Drama,155,"[u'Philippe Noiret', u'Enzo Cannavale', u'Antonella Attili']" +8.5,Apocalypse Now,R,Drama,153,"[u'Martin Sheen', u'Marlon Brando', u'Robert Duvall']" +8.5,The Great Dictator,APPROVED,Comedy,125,"[u'Charles Chaplin', u'Paulette Goddard', u'Jack Oakie']" +8.5,The Prestige,PG-13,Drama,130,"[u'Christian Bale', u'Hugh Jackman', u'Scarlett Johansson']" +8.5,Back to the Future,PG,Adventure,116,"[u'Michael J. Fox', u'Christopher Lloyd', u'Lea Thompson']" +8.5,The Lion King,G,Animation,89,"[u'Matthew Broderick', u'Jeremy Irons', u'James Earl Jones']" +8.5,The Lives of Others,R,Drama,137,"[u'Ulrich M\xfche', u'Martina Gedeck', u'Sebastian Koch']" +8.5,Alien,R,Horror,117,"[u'Sigourney Weaver', u'Tom Skerritt', u'John Hurt']" +8.5,Paths of Glory,APPROVED,Drama,88,"[u'Kirk Douglas', u'Ralph Meeker', u'Adolphe Menjou']" +8.5,Django Unchained,R,Western,165,"[u'Jamie Foxx', u'Christoph Waltz', u'Leonardo DiCaprio']" +8.5,3 Idiots,PG-13,Comedy,170,"[u'Aamir Khan', u'Madhavan', u'Mona Singh']" +8.5,Grave of the Fireflies,UNRATED,Animation,89,"[u'Tsutomu Tatsumi', u'Ayano Shiraishi', u'Akemi Yamaguchi']" +8.5,The Shining,R,Horror,146,"[u'Jack Nicholson', u'Shelley Duvall', u'Danny Lloyd']" +8.4,M,NOT RATED,Crime,99,"[u'Peter Lorre', u'Ellen Widmann', u'Inge Landgut']" +8.4,WALL-E,G,Animation,98,"[u'Ben Burtt', u'Elissa Knight', u'Jeff Garlin']" +8.4,Witness for the Prosecution,APPROVED,Crime,116,"[u'Tyrone Power', u'Marlene Dietrich', u'Charles Laughton']" +8.4,Munna Bhai M.B.B.S.,NOT RATED,Comedy,156,"[u'Sunil Dutt', u'Sanjay Dutt', u'Arshad Warsi']" +8.4,American Beauty,R,Drama,122,"[u'Kevin Spacey', u'Annette Bening', u'Thora Birch']" +8.4,Das Boot,R,Adventure,149,"[u'J\xfcrgen Prochnow', u'Herbert Gr\xf6nemeyer', u'Klaus Wennemann']" +8.4,Princess Mononoke,PG-13,Animation,134,"[u'Y\xf4ji Matsuda', u'Yuriko Ishida', u'Y\xfbko Tanaka']" +8.4,Amelie,R,Comedy,122,"[u'Audrey Tautou', u'Mathieu Kassovitz', u'Rufus']" +8.4,North by Northwest,APPROVED,Adventure,136,"[u'Cary Grant', u'Eva Marie Saint', u'James Mason']" +8.4,Rang De Basanti,NOT RATED,Drama,157,"[u'Aamir Khan', u'Soha Ali Khan', u'Siddharth']" +8.4,Jodaeiye Nader az Simin,PG-13,Drama,123,"[u'Peyman Moaadi', u'Leila Hatami', u'Sareh Bayat']" +8.4,Citizen Kane,APPROVED,Drama,119,"[u'Orson Welles', u'Joseph Cotten', u'Dorothy Comingore']" +8.4,Aliens,R,Action,137,"[u'Sigourney Weaver', u'Michael Biehn', u'Carrie Henn']" +8.4,Vertigo,APPROVED,Mystery,128,"[u'James Stewart', u'Kim Novak', u'Barbara Bel Geddes']" +8.4,Oldeuboi,R,Drama,120,"[u'Min-sik Choi', u'Ji-tae Yu', u'Hye-jeong Kang']" +8.4,Once Upon a Time in America,R,Crime,229,"[u'Robert De Niro', u'James Woods', u'Elizabeth McGovern']" +8.4,Double Indemnity,PASSED,Crime,107,"[u'Fred MacMurray', u'Barbara Stanwyck', u'Edward G. Robinson']" +8.4,Star Wars: Episode VI - Return of the Jedi,PG,Action,134,"[u'Mark Hamill', u'Harrison Ford', u'Carrie Fisher']" +8.4,Toy Story 3,G,Animation,103,"[u'Tom Hanks', u'Tim Allen', u'Joan Cusack']" +8.4,Braveheart,R,Action,177,"[u'Mel Gibson', u'Sophie Marceau', u'Patrick McGoohan']" +8.4,To Kill a Mockingbird,NOT RATED,Drama,129,"[u'Gregory Peck', u'John Megna', u'Frank Overton']" +8.4,Requiem for a Dream,R,Drama,102,"[u'Ellen Burstyn', u'Jared Leto', u'Jennifer Connelly']" +8.4,Lawrence of Arabia,PG,Adventure,216,"[u""Peter O'Toole"", u'Alec Guinness', u'Anthony Quinn']" +8.4,A Clockwork Orange,X,Crime,136,"[u'Malcolm McDowell', u'Patrick Magee', u'Michael Bates']" +8.4,Bicycle Thieves,NOT RATED,Drama,93,"[u'Lamberto Maggiorani', u'Enzo Staiola', u'Lianella Carell']" +8.4,The Kid,NOT RATED,Comedy,68,"[u'Charles Chaplin', u'Edna Purviance', u'Jackie Coogan']" +8.4,Swades,NOT RATED,Drama,189,"[u'Shah Rukh Khan', u'Gayatri Joshi', u'Kishori Balal']" +8.4,Reservoir Dogs,R,Crime,99,"[u'Harvey Keitel', u'Tim Roth', u'Michael Madsen']" +8.4,Eternal Sunshine of the Spotless Mind,R,Drama,108,"[u'Jim Carrey', u'Kate Winslet', u'Tom Wilkinson']" +8.4,Taxi Driver,R,Crime,113,"[u'Robert De Niro', u'Jodie Foster', u'Cybill Shepherd']" +8.4,Dilwale Dulhania Le Jayenge,NOT RATED,Comedy,181,"[u'Shah Rukh Khan', u'Kajol', u'Amrish Puri']" +8.4,Singin' in the Rain,APPROVED,Comedy,103,"[u'Gene Kelly', u""Donald O'Connor"", u'Debbie Reynolds']" +8.4,All About Eve,APPROVED,Drama,138,"[u'Bette Davis', u'Anne Baxter', u'George Sanders']" +8.4,Yojimbo,UNRATED,Action,110,"[u'Toshir\xf4 Mifune', u'Eijir\xf4 T\xf4no', u'Tatsuya Nakadai']" +8.4,The Sting,PG,Comedy,129,"[u'Paul Newman', u'Robert Redford', u'Robert Shaw']" +8.4,Rashomon,UNRATED,Crime,88,"[u'Toshir\xf4 Mifune', u'Machiko Ky\xf4', u'Masayuki Mori']" +8.4,Amadeus,R,Biography,160,"[u'F. Murray Abraham', u'Tom Hulce', u'Elizabeth Berridge']" +8.3,The Treasure of the Sierra Madre,NOT RATED,Action,126,"[u'Humphrey Bogart', u'Walter Huston', u'Tim Holt']" +8.3,Monty Python and the Holy Grail,PG,Adventure,91,"[u'Graham Chapman', u'John Cleese', u'Eric Idle']" +8.3,Full Metal Jacket,R,Drama,116,"[u'Matthew Modine', u'R. Lee Ermey', u""Vincent D'Onofrio""]" +8.3,The Apartment,APPROVED,Comedy,125,"[u'Jack Lemmon', u'Shirley MacLaine', u'Fred MacMurray']" +8.3,Ikiru,NOT RATED,Drama,143,"[u'Takashi Shimura', u'Nobuo Kaneko', u""Shin'ichi Himori""]" +8.3,The Third Man,NOT RATED,Film-Noir,93,"[u'Orson Welles', u'Joseph Cotten', u'Alida Valli']" +8.3,Snatch.,R,Comedy,102,"[u'Jason Statham', u'Brad Pitt', u'Benicio Del Toro']" +8.3,For a Few Dollars More,APPROVED,Western,132,"[u'Clint Eastwood', u'Lee Van Cleef', u'Gian Maria Volont\xe9']" +8.3,Metropolis,NOT RATED,Drama,153,"[u'Brigitte Helm', u'Alfred Abel', u'Gustav Fr\xf6hlich']" +8.3,Dil Chahta Hai,NOT RATED,Comedy,183,"[u'Aamir Khan', u'Saif Ali Khan', u'Akshaye Khanna']" +8.3,2001: A Space Odyssey,G,Mystery,160,"[u'Keir Dullea', u'Gary Lockwood', u'William Sylvester']" +8.3,Some Like It Hot,NOT RATED,Comedy,120,"[u'Marilyn Monroe', u'Tony Curtis', u'Jack Lemmon']" +8.3,L.A. Confidential,R,Crime,138,"[u'Kevin Spacey', u'Russell Crowe', u'Guy Pearce']" +8.3,Batman Begins,PG-13,Action,140,"[u'Christian Bale', u'Michael Caine', u'Ken Watanabe']" +8.3,Inglourious Basterds,R,Adventure,153,"[u'Brad Pitt', u'Diane Kruger', u'Eli Roth']" +8.3,Scarface,R,Crime,170,"[u'Al Pacino', u'Michelle Pfeiffer', u'Steven Bauer']" +8.3,Mr. Smith Goes to Washington,NOT RATED,Drama,129,"[u'James Stewart', u'Jean Arthur', u'Claude Rains']" +8.3,Toy Story,G,Animation,81,"[u'Tom Hanks', u'Tim Allen', u'Don Rickles']" +8.3,Indiana Jones and the Last Crusade,PG-13,Action,127,"[u'Harrison Ford', u'Sean Connery', u'Alison Doody']" +8.3,Unforgiven,R,Western,131,"[u'Clint Eastwood', u'Gene Hackman', u'Morgan Freeman']" +8.3,The Great Escape,UNRATED,Adventure,172,"[u'Steve McQueen', u'James Garner', u'Richard Attenborough']" +8.3,Jagten,R,Drama,115,"[u'Mads Mikkelsen', u'Thomas Bo Larsen', u'Annika Wedderkopp']" +8.3,On the Waterfront,NOT RATED,Crime,108,"[u'Marlon Brando', u'Karl Malden', u'Lee J. Cobb']" +8.3,The General,UNRATED,Action,107,"[u'Buster Keaton', u'Marion Mack', u'Glen Cavender']" +8.3,Raging Bull,R,Biography,129,"[u'Robert De Niro', u'Cathy Moriarty', u'Joe Pesci']" +8.3,Downfall,R,Biography,156,"[u'Bruno Ganz', u'Alexandra Maria Lara', u'Ulrich Matthes']" +8.3,Up,PG,Animation,96,"[u'Edward Asner', u'Jordan Nagai', u'John Ratzenberger']" +8.3,Wild Strawberries,UNRATED,Drama,91,"[u'Victor Sj\xf6str\xf6m', u'Bibi Andersson', u'Ingrid Thulin']" +8.3,The Gold Rush,NOT RATED,Adventure,95,"[u'Charles Chaplin', u'Mack Swain', u'Tom Murray']" +8.3,Ran,R,Action,162,"[u'Tatsuya Nakadai', u'Akira Terao', u'Jinpachi Nezu']" +8.3,Chinatown,R,Drama,130,"[u'Jack Nicholson', u'Faye Dunaway', u'John Huston']" +8.3,My Neighbor Totoro,G,Animation,86,"[u'Hitoshi Takagi', u'Noriko Hidaka', u'Chika Sakamoto']" +8.3,Judgment at Nuremberg,NOT RATED,Drama,186,"[u'Spencer Tracy', u'Burt Lancaster', u'Richard Widmark']" +8.3,Barfi!,NOT RATED,Adventure,151,"[u'Ranbir Kapoor', u'Priyanka Chopra', u'Ileana']" +8.3,The Seventh Seal,NOT RATED,Drama,96,"[u'Max von Sydow', u'Gunnar Bj\xf6rnstrand', u'Bengt Ekerot']" +8.3,Heat,R,Action,170,"[u'Al Pacino', u'Robert De Niro', u'Val Kilmer']" +8.3,Pan's Labyrinth,R,Drama,118,"[u'Ivana Baquero', u'Ariadna Gil', u'Sergi L\xf3pez']" +8.3,The Bridge on the River Kwai,PG,Adventure,161,"[u'William Holden', u'Alec Guinness', u'Jack Hawkins']" +8.3,Die Hard,R,Action,131,"[u'Bruce Willis', u'Alan Rickman', u'Bonnie Bedelia']" +8.3,Good Will Hunting,R,Drama,126,"[u'Robin Williams', u'Matt Damon', u'Ben Affleck']" +8.3,The Wages of Fear,NOT RATED,Adventure,131,"[u'Yves Montand', u'Charles Vanel', u'Peter van Eyck']" +8.3,The Secret in Their Eyes,R,Drama,129,"[u'Ricardo Dar\xedn', u'Soledad Villamil', u'Pablo Rago']" +8.3,Lagaan: Once Upon a Time in India,PG,Adventure,224,"[u'Aamir Khan', u'Gracy Singh', u'Rachel Shelley']" +8.2,The Wolf of Wall Street,R,Biography,180,"[u'Leonardo DiCaprio', u'Jonah Hill', u'Margot Robbie']" +8.2,It Happened One Night,UNRATED,Comedy,105,"[u'Clark Gable', u'Claudette Colbert', u'Walter Connolly']" +8.2,Blade Runner,R,Sci-Fi,117,"[u'Harrison Ford', u'Rutger Hauer', u'Sean Young']" +8.2,Warrior,PG-13,Drama,140,"[u'Tom Hardy', u'Nick Nolte', u'Joel Edgerton']" +8.2,Howl's Moving Castle,PG,Animation,119,"[u'Chieko Baish\xf4', u'Takuya Kimura', u'Tatsuya Gash\xfbin']" +8.2,The Elephant Man,PG,Biography,124,"[u'Anthony Hopkins', u'John Hurt', u'Anne Bancroft']" +8.2,Rebecca,NOT RATED,Mystery,130,"[u'Laurence Olivier', u'Joan Fontaine', u'George Sanders']" +8.2,Incendies,R,Drama,139,"[u'Lubna Azabal', u'M\xe9lissa D\xe9sormeaux-Poulin', u'Maxim Gaudette']" +8.2,"Lock, Stock and Two Smoking Barrels",R,Comedy,107,"[u'Jason Flemyng', u'Dexter Fletcher', u'Nick Moran']" +8.2,V for Vendetta,R,Action,132,"[u'Hugo Weaving', u'Natalie Portman', u'Rupert Graves']" +8.2,The Big Lebowski,R,Comedy,117,"[u'Jeff Bridges', u'John Goodman', u'Julianne Moore']" +8.2,Cool Hand Luke,PG,Crime,126,"[u'Paul Newman', u'George Kennedy', u'Strother Martin']" +8.2,Relatos salvajes,R,Comedy,122,"[u'Dar\xedo Grandinetti', u'Mar\xeda Marull', u'M\xf3nica Villa']" +8.2,Casino,R,Biography,178,"[u'Robert De Niro', u'Sharon Stone', u'Joe Pesci']" +8.2,Gone with the Wind,G,Drama,238,"[u'Clark Gable', u'Vivien Leigh', u'Thomas Mitchell']" +8.2,Gone Girl,R,Drama,149,"[u'Ben Affleck', u'Rosamund Pike', u'Neil Patrick Harris']" +8.2,The Best Years of Our Lives,PASSED,Drama,172,"[u'Fredric March', u'Dana Andrews', u'Myrna Loy']" +8.2,How to Train Your Dragon,PG,Animation,98,"[u'Jay Baruchel', u'Gerard Butler', u'Christopher Mintz-Plasse']" +8.2,Diabolique,UNRATED,Horror,116,"[u'Simone Signoret', u'V\xe9ra Clouzot', u'Paul Meurisse']" +8.2,Gran Torino,R,Drama,116,"[u'Clint Eastwood', u'Bee Vang', u'Christopher Carley']" +8.2,Rush,R,Action,123,"[u'Daniel Br\xfchl', u'Chris Hemsworth', u'Olivia Wilde']" +8.2,Into the Wild,R,Adventure,148,"[u'Emile Hirsch', u'Vince Vaughn', u'Catherine Keener']" +8.2,My Sassy Girl,NOT RATED,Comedy,123,"[u'Tae-hyun Cha', u'Gianna Jun', u'In-mun Kim']" +8.2,The Deer Hunter,R,Drama,182,"[u'Robert De Niro', u'Christopher Walken', u'John Cazale']" +8.2,Mary and Max,NOT RATED,Animation,92,"[u'Toni Collette', u'Philip Seymour Hoffman', u'Eric Bana']" +8.2,Hachi: A Dog's Tale,G,Drama,93,"[u'Richard Gere', u'Joan Allen', u'Cary-Hiroyuki Tagawa']" +8.2,The Maltese Falcon,NOT RATED,Crime,100,"[u'Humphrey Bogart', u'Mary Astor', u'Gladys George']" +8.2,A Beautiful Mind,PG-13,Biography,135,"[u'Russell Crowe', u'Ed Harris', u'Jennifer Connelly']" +8.2,Dial M for Murder,PG,Crime,105,"[u'Ray Milland', u'Grace Kelly', u'Robert Cummings']" +8.2,Trainspotting,R,Drama,94,"[u'Ewan McGregor', u'Ewen Bremner', u'Jonny Lee Miller']" +8.2,Tae Guk Gi: The Brotherhood of War,R,Action,140,"[u'Dong-gun Jang', u'Bin Won', u'Eun-ju Lee']" +8.2,Persona,NOT RATED,Drama,83,"[u'Bibi Andersson', u'Liv Ullmann', u'Margaretha Krook']" +8.2,Touch of Evil,PG-13,Crime,95,"[u'Charlton Heston', u'Orson Welles', u'Janet Leigh']" +8.2,Fargo,R,Crime,98,"[u'William H. Macy', u'Frances McDormand', u'Steve Buscemi']" +8.2,The Avengers,PG-13,Action,143,"[u'Robert Downey Jr.', u'Chris Evans', u'Scarlett Johansson']" +8.2,The 400 Blows,NOT RATED,Crime,99,"[u'Jean-Pierre L\xe9aud', u'Albert R\xe9my', u'Claire Maurier']" +8.2,The Princess Bride,PG,Adventure,98,"[u'Cary Elwes', u'Mandy Patinkin', u'Robin Wright']" +8.2,Hotel Rwanda,PG-13,Drama,121,"[u'Don Cheadle', u'Sophie Okonedo', u'Joaquin Phoenix']" +8.2,Stalker,NOT RATED,Drama,163,"[u'Alisa Freyndlikh', u'Aleksandr Kaydanovskiy', u'Anatoliy Solonitsyn']" +8.2,The Battle of Algiers,NOT RATED,Crime,121,"[u'Brahim Hadjadj', u'Jean Martin', u'Yacef Saadi']" +8.2,Underground,NOT RATED,Comedy,167,"[u'Predrag Manojlovic', u'Lazar Ristovski', u'Mirjana Jokovic']" +8.2,Fanny and Alexander,R,Drama,188,"[u'Bertil Guve', u'Pernilla Allwin', u'Kristina Adolphson']" +8.2,Network,R,Drama,121,"[u'Faye Dunaway', u'William Holden', u'Peter Finch']" +8.2,The Thing,R,Horror,109,"[u'Kurt Russell', u'Wilford Brimley', u'Keith David']" +8.2,Butch Cassidy and the Sundance Kid,,Biography,110,"[u'Paul Newman', u'Robert Redford', u'Katharine Ross']" +8.2,The Grapes of Wrath,NOT RATED,Drama,129,"[u'Henry Fonda', u'Jane Darwell', u'John Carradine']" +8.2,"Black Cat, White Cat",R,Comedy,127,"[u'Bajram Severdzan', u'Srdjan Todorovic', u'Branka Katic']" +8.2,Life of Brian,R,Comedy,94,"[u'Graham Chapman', u'John Cleese', u'Michael Palin']" +8.2,The Sixth Sense,PG-13,Drama,107,"[u'Bruce Willis', u'Haley Joel Osment', u'Toni Collette']" +8.2,Finding Nemo,G,Animation,100,"[u'Albert Brooks', u'Ellen DeGeneres', u'Alexander Gould']" +8.2,Nausicaa of the Valley of the Wind,PG,Animation,117,"[u'Sumi Shimamoto', u'Mahito Tsujimura', u'Hisako Ky\xf4da']" +8.1,Kingsman: The Secret Service,R,Action,129,"[u'Colin Firth', u'Taron Egerton', u'Samuel L. Jackson']" +8.1,Platoon,R,Drama,120,"[u'Charlie Sheen', u'Tom Berenger', u'Willem Dafoe']" +8.1,Guardians of the Galaxy,PG-13,Action,121,"[u'Chris Pratt', u'Vin Diesel', u'Bradley Cooper']" +8.1,In the Name of the Father,R,Biography,133,"[u'Daniel Day-Lewis', u'Pete Postlethwaite', u'Alison Crosbie']" +8.1,Kill Bill: Vol. 1,R,Action,111,"[u'Uma Thurman', u'David Carradine', u'Daryl Hannah']" +8.1,No Country for Old Men,R,Crime,122,"[u'Tommy Lee Jones', u'Javier Bardem', u'Josh Brolin']" +8.1,Le Samourai,PG,Crime,101,"[u'Alain Delon', u'Nathalie Delon', u'Fran\xe7ois P\xe9rier']" +8.1,12 Years a Slave,R,Biography,134,"[u'Chiwetel Ejiofor', u'Michael Kenneth Williams', u'Michael Fassbender']" +8.1,La leggenda del pianista sull'oceano,R,Drama,165,"[u'Tim Roth', u'Pruitt Taylor Vince', u'Bill Nunn']" +8.1,8 1/2,NOT RATED,Drama,138,"[u'Marcello Mastroianni', u'Anouk Aim\xe9e', u'Claudia Cardinale']" +8.1,Ben-Hur,G,Adventure,212,"[u'Charlton Heston', u'Jack Hawkins', u'Stephen Boyd']" +8.1,Amores Perros,R,Drama,154,"[u'Emilio Echevarr\xeda', u'Gael Garc\xeda Bernal', u'Goya Toledo']" +8.1,Stand by Me,R,Adventure,89,"[u'Wil Wheaton', u'River Phoenix', u'Corey Feldman']" +8.1,What Ever Happened to Baby Jane?,APPROVED,Drama,134,"[u'Bette Davis', u'Joan Crawford', u'Victor Buono']" +8.1,Annie Hall,PG,Comedy,93,"[u'Woody Allen', u'Diane Keaton', u'Tony Roberts']" +8.1,The Imitation Game,PG-13,Biography,114,"[u'Benedict Cumberbatch', u'Keira Knightley', u'Matthew Goode']" +8.1,Laura,APPROVED,Film-Noir,88,"[u'Gene Tierney', u'Dana Andrews', u'Clifton Webb']" +8.1,Departures,PG-13,Drama,130,"[u'Masahiro Motoki', u'Ry\xf4ko Hirosue', u'Tsutomu Yamazaki']" +8.1,Infernal Affairs,R,Crime,101,"[u'Andy Lau', u'Tony Chiu Wai Leung', u'Anthony Chau-Sang Wong']" +8.1,There Will Be Blood,R,Drama,158,"[u'Daniel Day-Lewis', u'Paul Dano', u'Ciar\xe1n Hinds']" +8.1,The Grand Budapest Hotel,R,Adventure,99,"[u'Ralph Fiennes', u'F. Murray Abraham', u'Mathieu Amalric']" +8.1,La Strada,NOT RATED,Drama,108,"[u'Anthony Quinn', u'Giulietta Masina', u'Richard Basehart']" +8.1,Sin City,R,Crime,124,"[u'Mickey Rourke', u'Clive Owen', u'Bruce Willis']" +8.1,Memories of Murder,UNRATED,Crime,132,"[u'Kang-ho Song', u'Sang-kyung Kim', u'Roe-ha Kim']" +8.1,Donnie Darko,R,Drama,113,"[u'Jake Gyllenhaal', u'Jena Malone', u'Mary McDonnell']" +8.1,Who's Afraid of Virginia Woolf?,TV-MA,Drama,131,"[u'Elizabeth Taylor', u'Richard Burton', u'George Segal']" +8.1,Gandhi,PG,Biography,191,"[u'Ben Kingsley', u'John Gielgud', u'Candice Bergen']" +8.1,Solaris,PG,Drama,167,"[u'Natalya Bondarchuk', u'Donatas Banionis', u'J\xfcri J\xe4rvet']" +8.1,Harry Potter and the Deathly Hallows: Part 2,PG-13,Adventure,130,"[u'Daniel Radcliffe', u'Emma Watson', u'Rupert Grint']" +8.1,"Paris, Texas",R,Drama,147,"[u'Harry Dean Stanton', u'Nastassja Kinski', u'Dean Stockwell']" +8.1,The Wizard of Oz,PASSED,Adventure,102,"[u'Judy Garland', u'Frank Morgan', u'Ray Bolger']" +8.1,3-Iron,R,Crime,88,"[u'Seung-yeon Lee', u'Hyun-kyoon Lee', u'Hyuk-ho Kwon']" +8.1,Boyhood,R,Drama,165,"[u'Ellar Coltrane', u'Patricia Arquette', u'Ethan Hawke']" +8.1,Million Dollar Baby,PG-13,Drama,132,"[u'Hilary Swank', u'Clint Eastwood', u'Morgan Freeman']" +8.1,The Last Picture Show,R,Drama,118,"[u'Timothy Bottoms', u'Jeff Bridges', u'Cybill Shepherd']" +8.1,Strangers on a Train,APPROVED,Crime,101,"[u'Farley Granger', u'Robert Walker', u'Ruth Roman']" +8.1,Cat on a Hot Tin Roof,APPROVED,Drama,108,"[u'Elizabeth Taylor', u'Paul Newman', u'Burl Ives']" +8.1,La Dolce Vita,NOT RATED,Comedy,174,"[u'Marcello Mastroianni', u'Anita Ekberg', u'Anouk Aim\xe9e']" +8.1,Chungking Express,PG-13,Drama,98,"[u'Brigitte Lin', u'Takeshi Kaneshiro', u'Tony Chiu Wai Leung']" +8.1,The Night of the Hunter,APPROVED,Crime,92,"[u'Robert Mitchum', u'Shelley Winters', u'Lillian Gish']" +8.1,La Haine,NOT RATED,Crime,98,"[u'Vincent Cassel', u'Hubert Kound\xe9', u'Sa\xefd Taghmaoui']" +8.1,Yip Man,R,Action,106,"[u'Donnie Yen', u'Simon Yam', u'Siu-Wong Fan']" +8.1,High Noon,PG,Western,85,"[u'Gary Cooper', u'Grace Kelly', u'Thomas Mitchell']" +8.1,Notorious,APPROVED,Drama,101,"[u'Cary Grant', u'Ingrid Bergman', u'Claude Rains']" +8.1,Before Sunrise,R,Drama,105,"[u'Ethan Hawke', u'Julie Delpy', u'Andrea Eckert']" +8.1,Elite Squad: The Enemy Within,UNRATED,Action,115,"[u'Wagner Moura', u'Irandhir Santos', u'Andr\xe9 Ramiro']" +8.1,The Bourne Ultimatum,PG-13,Action,115,"[u'Matt Damon', u'\xc9dgar Ram\xedrez', u'Joan Allen']" +8.1,Castle in the Sky,PG,Animation,124,"[u'Anna Paquin', u'James Van Der Beek', u'Cloris Leachman']" +8.1,The Celebration,R,Drama,105,"[u'Ulrich Thomsen', u'Henning Moritzen', u'Thomas Bo Larsen']" +8.1,"Spring, Summer, Fall, Winter... and Spring",R,Drama,103,"[u'Ki-duk Kim', u'Yeong-su Oh', u'Jong-ho Kim']" +8.1,Shutter Island,R,Mystery,138,"[u'Leonardo DiCaprio', u'Emily Mortimer', u'Mark Ruffalo']" +8.1,Barry Lyndon,PG,Adventure,184,"[u""Ryan O'Neal"", u'Marisa Berenson', u'Patrick Magee']" +8.1,Stalag 17,NOT RATED,Comedy,120,"[u'William Holden', u'Don Taylor', u'Otto Preminger']" +8.1,Three Colors: Red,R,Drama,99,"[u'Ir\xe8ne Jacob', u'Jean-Louis Trintignant', u'Fr\xe9d\xe9rique Feder']" +8.1,X-Men: Days of Future Past,PG-13,Action,131,"[u'Patrick Stewart', u'Ian McKellen', u'Hugh Jackman']" +8.1,Sleuth,PG,Mystery,138,"[u'Laurence Olivier', u'Michael Caine', u'Alec Cawthorne']" +8.1,In the Mood for Love,PG,Drama,98,"[u'Tony Chiu Wai Leung', u'Maggie Cheung', u'Ping Lam Siu']" +8.1,The Man Who Shot Liberty Valance,APPROVED,Drama,123,"[u'James Stewart', u'John Wayne', u'Vera Miles']" +8.1,Arsenic and Old Lace,NOT RATED,Comedy,118,"[u'Cary Grant', u'Priscilla Lane', u'Raymond Massey']" +8.1,The Big Sleep,APPROVED,Crime,114,"[u'Humphrey Bogart', u'Lauren Bacall', u'John Ridgely']" +8.1,Roman Holiday,NOT RATED,Comedy,118,"[u'Gregory Peck', u'Audrey Hepburn', u'Eddie Albert']" +8.1,The Philadelphia Story,NOT RATED,Comedy,112,"[u'Cary Grant', u'Katharine Hepburn', u'James Stewart']" +8.1,Akira,R,Animation,124,"[u'Nozomu Sasaki', u'Mami Koyama', u'Mitsuo Iwata']" +8.1,Anatomy of a Murder,UNRATED,Crime,160,"[u'James Stewart', u'Lee Remick', u'Ben Gazzara']" +8.1,The Cabinet of Dr. Caligari,UNRATED,Crime,67,"[u'Werner Krauss', u'Conrad Veidt', u'Friedrich Feher']" +8.1,The Help,PG-13,Drama,146,"[u'Emma Stone', u'Viola Davis', u'Octavia Spencer']" +8.1,The Sea Inside,PG-13,Biography,125,"[u'Javier Bardem', u'Bel\xe9n Rueda', u'Lola Due\xf1as']" +8.1,Elite Squad,R,Action,115,"[u'Wagner Moura', u'Andr\xe9 Ramiro', u'Caio Junqueira']" +8.1,The Hustler,UNRATED,Drama,134,"[u'Paul Newman', u'Jackie Gleason', u'Piper Laurie']" +8.1,Rio Bravo,NOT RATED,Western,141,"[u'John Wayne', u'Dean Martin', u'Ricky Nelson']" +8.1,Twelve Monkeys,R,Mystery,129,"[u'Bruce Willis', u'Madeleine Stowe', u'Brad Pitt']" +8.1,Harvey,NOT RATED,Comedy,104,"[u'James Stewart', u'Josephine Hull', u'Peggy Dow']" +8.1,A Christmas Story,PG,Comedy,94,"[u'Peter Billingsley', u'Melinda Dillon', u'Darren McGavin']" +8.1,Jaws,PG,Drama,124,"[u'Roy Scheider', u'Robert Shaw', u'Richard Dreyfuss']" +8.1,The Raid 2,R,Action,150,"[u'Iko Uwais', u'Yayan Ruhian', u'Arifin Putra']" +8.1,Rocky,PG,Drama,119,"[u'Sylvester Stallone', u'Talia Shire', u'Burt Young']" +8.1,Wings of Desire,PG-13,Drama,128,"[u'Bruno Ganz', u'Solveig Dommartin', u'Otto Sander']" +8.1,Pirates of the Caribbean: The Curse of the Black Pearl,PG-13,Adventure,143,"[u'Johnny Depp', u'Geoffrey Rush', u'Orlando Bloom']" +8.1,The Killing,APPROVED,Crime,85,"[u'Sterling Hayden', u'Coleen Gray', u'Vince Edwards']" +8.1,Papillon,R,Biography,151,"[u'Steve McQueen', u'Dustin Hoffman', u'Victor Jory']" +8.1,The King's Speech,R,Biography,118,"[u'Colin Firth', u'Geoffrey Rush', u'Helena Bonham Carter']" +8.1,Groundhog Day,PG,Comedy,101,"[u'Bill Murray', u'Andie MacDowell', u'Chris Elliott']" +8.1,A Fistful of Dollars,R,Action,99,"[u'Clint Eastwood', u'Gian Maria Volont\xe9', u'Marianne Koch']" +8.1,"Monsters, Inc.",G,Animation,92,"[u'Billy Crystal', u'John Goodman', u'Mary Gibbs']" +8.1,Dog Day Afternoon,R,Crime,125,"[u'Al Pacino', u'John Cazale', u'Penelope Allen']" +8.1,The Perks of Being a Wallflower,PG-13,Drama,102,"[u'Logan Lerman', u'Emma Watson', u'Ezra Miller']" +8.1,Young Frankenstein,PG,Comedy,106,"[u'Gene Wilder', u'Madeline Kahn', u'Marty Feldman']" +8.1,The Terminator,R,Action,107,"[u'Arnold Schwarzenegger', u'Linda Hamilton', u'Michael Biehn']" +8.1,Harold and Maude,GP,Comedy,91,"[u'Ruth Gordon', u'Bud Cort', u'Vivian Pickles']" +8.1,Before Sunset,R,Drama,80,"[u'Ethan Hawke', u'Julie Delpy', u'Vernon Dobtcheff']" +8.1,A Streetcar Named Desire,PG,Drama,122,"[u'Vivien Leigh', u'Marlon Brando', u'Kim Hunter']" +8.1,Bringing Up Baby,APPROVED,Comedy,102,"[u'Katharine Hepburn', u'Cary Grant', u'Charles Ruggles']" +8.1,The Diving Bell and the Butterfly,PG-13,Biography,112,"[u'Mathieu Amalric', u'Emmanuelle Seigner', u'Marie-Jos\xe9e Croze']" +8.1,His Girl Friday,APPROVED,Comedy,92,"[u'Cary Grant', u'Rosalind Russell', u'Ralph Bellamy']" +8.1,Sling Blade,R,Drama,135,"[u'Billy Bob Thornton', u'Dwight Yoakam', u'J.T. Walsh']" +8.1,All Quiet on the Western Front,UNRATED,Drama,136,"[u'Lew Ayres', u'Louis Wolheim', u'John Wray']" +8.1,Prisoners,R,Crime,153,"[u'Hugh Jackman', u'Jake Gyllenhaal', u'Viola Davis']" +8.1,The Return,UNRATED,Drama,105,"[u'Vladimir Garin', u'Ivan Dobronravov', u'Konstantin Lavronenko']" +8.1,The Manchurian Candidate,APPROVED,Mystery,126,"[u'Frank Sinatra', u'Laurence Harvey', u'Janet Leigh']" +8.1,Duck Soup,PASSED,Comedy,68,"[u'Groucho Marx', u'Harpo Marx', u'Chico Marx']" +8.1,Beauty and the Beast,G,Animation,84,"[u""Paige O'Hara"", u'Robby Benson', u'Richard White']" +8.1,The Truman Show,PG,Drama,103,"[u'Jim Carrey', u'Ed Harris', u'Laura Linney']" +8.1,The Wild Bunch,R,Action,145,"[u'William Holden', u'Ernest Borgnine', u'Robert Ryan']" +8,Rope,PG,Crime,80,"[u'James Stewart', u'John Dall', u'Farley Granger']" +8,The Graduate,APPROVED,Comedy,106,"[u'Dustin Hoffman', u'Anne Bancroft', u'Katharine Ross']" +8,Jurassic Park,PG-13,Adventure,127,"[u'Sam Neill', u'Laura Dern', u'Jeff Goldblum']" +8,Dogville,R,Crime,178,"[u'Nicole Kidman', u'Paul Bettany', u'Lauren Bacall']" +8,Furious 7,PG-13,Action,137,"[u'Vin Diesel', u'Paul Walker', u'Dwayne Johnson']" +8,Patton,GP,Biography,172,"[u'George C. Scott', u'Karl Malden', u'Stephen Young']" +8,The Nightmare Before Christmas,PG,Animation,76,"[u'Danny Elfman', u'Chris Sarandon', u""Catherine O'Hara""]" +8,Being There,PG,Comedy,130,"[u'Peter Sellers', u'Shirley MacLaine', u'Melvyn Douglas']" +8,Persepolis,PG-13,Animation,96,"[u'Chiara Mastroianni', u'Catherine Deneuve', u'Gena Rowlands']" +8,This Is Spinal Tap,R,Comedy,82,"[u'Rob Reiner', u'Michael McKean', u'Christopher Guest']" +8,East of Eden,PG,Drama,115,"[u'James Dean', u'Raymond Massey', u'Julie Harris']" +8,Pink Floyd The Wall,R,Animation,95,"[u'Bob Geldof', u'Christine Hargreaves', u'James Laurenson']" +8,Blood Diamond,R,Adventure,143,"[u'Leonardo DiCaprio', u'Djimon Hounsou', u'Jennifer Connelly']" +8,Big Fish,PG-13,Adventure,125,"[u'Ewan McGregor', u'Albert Finney', u'Billy Crudup']" +8,Slumdog Millionaire,R,Drama,120,"[u'Dev Patel', u'Freida Pinto', u'Saurabh Shukla']" +8,Star Trek,PG-13,Action,127,"[u'Chris Pine', u'Zachary Quinto', u'Simon Pegg']" +8,The Straight Story,G,Biography,112,"[u'Richard Farnsworth', u'Sissy Spacek', u'Jane Galloway Heitz']" +8,Crimes and Misdemeanors,PG-13,Comedy,104,"[u'Martin Landau', u'Woody Allen', u'Bill Bernstein']" +8,Charade,NOT RATED,Comedy,113,"[u'Cary Grant', u'Audrey Hepburn', u'Walter Matthau']" +8,JFK,R,Drama,189,"[u'Kevin Costner', u'Gary Oldman', u'Jack Lemmon']" +8,Dawn of the Dead,UNRATED,Horror,127,"[u'David Emge', u'Ken Foree', u'Scott H. Reiniger']" +8,Magnolia,R,Drama,188,"[u'Tom Cruise', u'Jason Robards', u'Julianne Moore']" +8,Manhattan,R,Comedy,96,"[u'Woody Allen', u'Diane Keaton', u'Mariel Hemingway']" +8,Central Station,R,Drama,113,"[u'Fernanda Montenegro', u'Vin\xedcius de Oliveira', u'Mar\xedlia P\xeara']" +8,Brazil,R,Sci-Fi,132,"[u'Jonathan Pryce', u'Kim Greist', u'Robert De Niro']" +8,The Exorcist,R,Horror,122,"[u'Ellen Burstyn', u'Max von Sydow', u'Linda Blair']" +8,Her,R,Drama,126,"[u'Joaquin Phoenix', u'Amy Adams', u'Scarlett Johansson']" +8,Dancer in the Dark,R,Crime,140,"[u'Bj\xf6rk', u'Catherine Deneuve', u'David Morse']" +8,Rain Man,R,Drama,133,"[u'Dustin Hoffman', u'Tom Cruise', u'Valeria Golino']" +8,Talk to Her,R,Drama,112,"[u'Rosario Flores', u'Javier C\xe1mara', u'Dar\xedo Grandinetti']" +8,The Adventures of Robin Hood,PG,Action,102,"[u'Errol Flynn', u'Olivia de Havilland', u'Basil Rathbone']" +8,"Aguirre, the Wrath of God",NOT RATED,Adventure,93,"[u'Klaus Kinski', u'Ruy Guerra', u'Helena Rojo']" +8,In the Heat of the Night,APPROVED,Crime,109,"[u'Sidney Poitier', u'Rod Steiger', u'Warren Oates']" +8,Nosferatu,UNRATED,Horror,81,"[u'Max Schreck', u'Greta Schr\xf6der', u'Ruth Landshoff']" +8,Black Swan,R,Drama,108,"[u'Natalie Portman', u'Mila Kunis', u'Vincent Cassel']" +8,Ratatouille,G,Animation,111,"[u'Brad Garrett', u'Lou Romano', u'Patton Oswalt']" +8,The Searchers,APPROVED,Adventure,119,"[u'John Wayne', u'Jeffrey Hunter', u'Vera Miles']" +8,Short Term 12,R,Drama,96,"[u'Brie Larson', u'Frantz Turner', u'John Gallagher Jr.']" +8,Doctor Zhivago,PG-13,Drama,197,"[u'Omar Sharif', u'Julie Christie', u'Geraldine Chaplin']" +8,Life of Pi,PG,Adventure,127,"[u'Suraj Sharma', u'Irrfan Khan', u'Adil Hussain']" +8,All the President's Men,R,Drama,138,"[u'Dustin Hoffman', u'Robert Redford', u'Jack Warden']" +8,Battleship Potemkin,UNRATED,History,66,"[u'Aleksandr Antonov', u'Vladimir Barsky', u'Grigori Aleksandrov']" +8,Dances with Wolves,PG-13,Adventure,181,"[u'Kevin Costner', u'Mary McDonnell', u'Graham Greene']" +8,Catch Me If You Can,PG-13,Biography,141,"[u'Leonardo DiCaprio', u'Tom Hanks', u'Christopher Walken']" +8,Cinderella Man,PG-13,Biography,144,"[u'Russell Crowe', u'Ren\xe9e Zellweger', u'Craig Bierko']" +8,Dead Poets Society,PG,Drama,128,"[u'Robin Williams', u'Robert Sean Leonard', u'Ethan Hawke']" +8,Ghost in the Shell,NOT RATED,Animation,83,"[u'Atsuko Tanaka', u'Iemasa Kayumi', u'Akio \xd4tsuka']" +8,Head-On,R,Drama,121,"[u'Birol \xdcnel', u'Sibel Kekilli', u'G\xfcven Kira\xe7']" +8,No Man's Land,R,Drama,98,"[u'Branko Djuric', u'Rene Bitorajac', u'Filip Sovagovic']" +8,Dallas Buyers Club,R,Biography,117,"[u'Matthew McConaughey', u'Jennifer Garner', u'Jared Leto']" +8,Days of Heaven,PG,Drama,94,"[u'Richard Gere', u'Brooke Adams', u'Sam Shepard']" +8,The Sound of Music,G,Biography,174,"[u'Julie Andrews', u'Christopher Plummer', u'Eleanor Parker']" +8,District 9,R,Action,112,"[u'Sharlto Copley', u'David James', u'Jason Cope']" +8,Shadow of a Doubt,APPROVED,Thriller,108,"[u'Teresa Wright', u'Joseph Cotten', u'Macdonald Carey']" +8,Frankenstein,UNRATED,Horror,70,"[u'Colin Clive', u'Mae Clarke', u'Boris Karloff']" +8,Shaun of the Dead,R,Comedy,99,"[u'Simon Pegg', u'Nick Frost', u'Kate Ashfield']" +8,Night of the Living Dead,UNRATED,Horror,96,"[u'Duane Jones', u""Judith O'Dea"", u'Karl Hardman']" +8,Kill Bill: Vol. 2,R,Action,137,"[u'Uma Thurman', u'David Carradine', u'Michael Madsen']" +8,Secrets & Lies,R,Drama,136,"[u'Timothy Spall', u'Brenda Blethyn', u'Phyllis Logan']" +8,The Artist,PG-13,Comedy,100,"[u'Jean Dujardin', u'B\xe9r\xe9nice Bejo', u'John Goodman']" +8,Aladdin,G,Animation,90,"[u'Scott Weinger', u'Robin Williams', u'Linda Larkin']" +8,The Lady Vanishes,PASSED,Comedy,96,"[u'Margaret Lockwood', u'Michael Redgrave', u'Paul Lukas']" +8,The Hobbit: The Desolation of Smaug,PG-13,Adventure,161,"[u'Ian McKellen', u'Martin Freeman', u'Richard Armitage']" +8,Let the Right One In,R,Drama,115,"[u'K\xe5re Hedebrant', u'Lina Leandersson', u'Per Ragnar']" +8,Fiddler on the Roof,G,Drama,181,"[u'Topol', u'Norma Crane', u'Leonard Frey']" +8,The Hobbit: An Unexpected Journey,PG-13,Adventure,169,"[u'Martin Freeman', u'Ian McKellen', u'Richard Armitage']" +8,Three Colors: Blue,R,Drama,98,"[u'Juliette Binoche', u'Zbigniew Zamachowski', u'Julie Delpy']" +8,Rosemary's Baby,R,Drama,136,"[u'Mia Farrow', u'John Cassavetes', u'Ruth Gordon']" +8,Mystic River,R,Crime,138,"[u'Sean Penn', u'Tim Robbins', u'Kevin Bacon']" +8,Serenity,PG-13,Action,119,"[u'Nathan Fillion', u'Gina Torres', u'Chiwetel Ejiofor']" +8,Amarcord,R,Comedy,123,"[u'Magali No\xebl', u'Bruno Zanin', u'Pupella Maggio']" +8,Planet of the Apes,G,Adventure,112,"[u'Charlton Heston', u'Roddy McDowall', u'Kim Hunter']" +8,True Romance,R,Crime,120,"[u'Christian Slater', u'Patricia Arquette', u'Dennis Hopper']" +8,Hannah and Her Sisters,PG-13,Comedy,103,"[u'Mia Farrow', u'Dianne Wiest', u'Michael Caine']" +8,Moon,R,Drama,97,"[u'Sam Rockwell', u'Kevin Spacey', u'Dominique McElligott']" +8,Before Midnight,R,Drama,109,"[u'Ethan Hawke', u'Julie Delpy', u'Seamus Davey-Fitzpatrick']" +8,My Name Is Khan,PG-13,Drama,165,"[u'Shah Rukh Khan', u'Kajol', u'Sheetal Menon']" +8,Scent of a Woman,R,Drama,156,"[u'Al Pacino', u""Chris O'Donnell"", u'James Rebhorn']" +8,Mulholland Dr.,R,Drama,147,"[u'Naomi Watts', u'Laura Harring', u'Justin Theroux']" +8,King Kong,UNRATED,Adventure,100,"[u'Fay Wray', u'Robert Armstrong', u'Bruce Cabot']" +8,The Fault in Our Stars,PG-13,Drama,126,"[u'Shailene Woodley', u'Ansel Elgort', u'Nat Wolff']" +8,The Incredibles,PG,Animation,115,"[u'Craig T. Nelson', u'Samuel L. Jackson', u'Holly Hunter']" +8,Edward Scissorhands,PG-13,Drama,105,"[u'Johnny Depp', u'Winona Ryder', u'Dianne Wiest']" +8,Casino Royale,PG-13,Action,144,"[u'Daniel Craig', u'Eva Green', u'Judi Dench']" +8,How to Train Your Dragon 2,PG,Animation,102,"[u'Jay Baruchel', u'Cate Blanchett', u'Gerard Butler']" +8,In Bruges,R,Comedy,107,"[u'Colin Farrell', u'Brendan Gleeson', u'Ciar\xe1n Hinds']" +8,The Untouchables,R,Crime,119,"[u'Kevin Costner', u'Sean Connery', u'Robert De Niro']" +8,Breathless,UNRATED,Crime,90,"[u'Jean-Paul Belmondo', u'Jean Seberg', u'Daniel Boulanger']" +8,Spartacus,PG-13,Action,197,"[u'Kirk Douglas', u'Laurence Olivier', u'Jean Simmons']" +8,The Iron Giant,PG,Animation,86,"[u'Eli Marienthal', u'Harry Connick Jr.', u'Jennifer Aniston']" +8,Midnight Cowboy,X,Drama,113,"[u'Dustin Hoffman', u'Jon Voight', u'Sylvia Miles']" +8,The Blues Brothers,R,Action,133,"[u'John Belushi', u'Dan Aykroyd', u'Cab Calloway']" +8,Freaks,UNRATED,Drama,64,"[u'Wallace Ford', u'Leila Hyams', u'Olga Baclanova']" +8,Letters from Iwo Jima,R,Drama,141,"[u'Ken Watanabe', u'Kazunari Ninomiya', u'Tsuyoshi Ihara']" +8,Edge of Tomorrow,PG-13,Action,113,"[u'Tom Cruise', u'Emily Blunt', u'Bill Paxton']" +8,Glory,R,Drama,122,"[u'Matthew Broderick', u'Denzel Washington', u'Cary Elwes']" +8,The African Queen,PG,Adventure,105,"[u'Humphrey Bogart', u'Katharine Hepburn', u'Robert Morley']" +7.9,Birdman: Or (The Unexpected Virtue of Ignorance),R,Comedy,119,"[u'Michael Keaton', u'Zach Galifianakis', u'Edward Norton']" +7.9,Big Hero 6,PG,Animation,102,"[u'Ryan Potter', u'Scott Adsit', u'Jamie Chung']" +7.9,Almost Famous,R,Drama,122,"[u'Billy Crudup', u'Patrick Fugit', u'Kate Hudson']" +7.9,The Notebook,PG-13,Drama,123,"[u'Gena Rowlands', u'James Garner', u'Rachel McAdams']" +7.9,The Conversation,PG,Drama,113,"[u'Gene Hackman', u'John Cazale', u'Allen Garfield']" +7.9,The Breakfast Club,R,Comedy,97,"[u'Emilio Estevez', u'Judd Nelson', u'Molly Ringwald']" +7.9,The Pursuit of Happyness,PG-13,Biography,117,"[u'Will Smith', u'Thandie Newton', u'Jaden Smith']" +7.9,The Killer,R,Action,111,"[u'Yun-Fat Chow', u'Danny Lee', u'Sally Yeh']" +7.9,Once,R,Drama,85,"[u'Glen Hansard', u'Mark\xe9ta Irglov\xe1', u'Hugh Walsh']" +7.9,Ying xiong,PG-13,Action,99,"[u'Jet Li', u'Tony Chiu Wai Leung', u'Maggie Cheung']" +7.9,The Remains of the Day,PG,Drama,134,"[u'Anthony Hopkins', u'Emma Thompson', u'John Haycraft']" +7.9,The Bride of Frankenstein,NOT RATED,Horror,75,"[u'Boris Karloff', u'Elsa Lanchester', u'Colin Clive']" +7.9,The Wrestler,R,Drama,109,"[u'Mickey Rourke', u'Marisa Tomei', u'Evan Rachel Wood']" +7.9,Nightcrawler,R,Crime,117,"[u'Jake Gyllenhaal', u'Rene Russo', u'Bill Paxton']" +7.9,Gravity,PG-13,Sci-Fi,91,"[u'Sandra Bullock', u'George Clooney', u'Ed Harris']" +7.9,Hard Boiled,R,Action,128,"[u'Yun-Fat Chow', u'Tony Chiu Wai Leung', u'Teresa Mo']" +7.9,Bonnie and Clyde,APPROVED,Biography,111,"[u'Warren Beatty', u'Faye Dunaway', u'Michael J. Pollard']" +7.9,The Bourne Identity,PG-13,Action,119,"[u'Franka Potente', u'Matt Damon', u'Chris Cooper']" +7.9,Key Largo,UNRATED,Crime,100,"[u'Humphrey Bogart', u'Edward G. Robinson', u'Lauren Bacall']" +7.9,Nine Queens,R,Crime,114,"[u'Ricardo Dar\xedn', u'Gast\xf3n Pauls', u'Leticia Br\xe9dice']" +7.9,Toy Story 2,G,Animation,92,"[u'Tom Hanks', u'Tim Allen', u'Joan Cusack']" +7.9,The Killing Fields,R,Drama,141,"[u'Sam Waterston', u'Haing S. Ngor', u'John Malkovich']" +7.9,All About My Mother,R,Drama,101,"[u'Cecilia Roth', u'Marisa Paredes', u'Candela Pe\xf1a']" +7.9,Cowboy Bebop: The Movie,R,Animation,115,"[u'Beau Billingslea', u'Melissa Fahn', u'Nicholas Guest']" +7.9,Ed Wood,R,Biography,127,"[u'Johnny Depp', u'Martin Landau', u'Sarah Jessica Parker']" +7.9,Stagecoach,NOT RATED,Adventure,96,"[u'John Wayne', u'Claire Trevor', u'Andy Devine']" +7.9,The Man Who Would Be King,PG,Action,129,"[u'Sean Connery', u'Michael Caine', u'Christopher Plummer']" +7.9,The Outlaw Josey Wales,PG,Western,135,"[u'Clint Eastwood', u'Sondra Locke', u'Chief Dan George']" +7.9,Children of Men,R,Drama,109,"[u'Julianne Moore', u'Clive Owen', u'Chiwetel Ejiofor']" +7.9,The Insider,R,Biography,157,"[u'Russell Crowe', u'Al Pacino', u'Christopher Plummer']" +7.9,The Right Stuff,R,Adventure,193,"[u'Sam Shepard', u'Scott Glenn', u'Ed Harris']" +7.9,Badlands,PG,Crime,94,"[u'Martin Sheen', u'Sissy Spacek', u'Warren Oates']" +7.9,A Prophet,R,Crime,155,"[u'Tahar Rahim', u'Niels Arestrup', u'Adel Bencherif']" +7.9,"4 Months, 3 Weeks and 2 Days",NOT RATED,Drama,113,"[u'Anamaria Marinca', u'Vlad Ivanov', u'Laura Vasiliu']" +7.9,Le passe,PG-13,Drama,130,"[u'B\xe9r\xe9nice Bejo', u'Tahar Rahim', u'Ali Mosaffa']" +7.9,The Fall,R,Adventure,117,"[u'Lee Pace', u'Catinca Untaru', u'Justine Waddell']" +7.9,Breaking the Waves,R,Drama,159,"[u'Emily Watson', u'Stellan Skarsg\xe5rd', u'Katrin Cartlidge']" +7.9,Mr. Nobody,R,Drama,141,"[u'Jared Leto', u'Sarah Polley', u'Diane Kruger']" +7.9,Crash,R,Drama,112,"[u'Don Cheadle', u'Sandra Bullock', u'Thandie Newton']" +7.9,Avatar,PG-13,Action,162,"[u'Sam Worthington', u'Zoe Saldana', u'Sigourney Weaver']" +7.9,Iron Man,PG-13,Action,126,"[u'Robert Downey Jr.', u'Gwyneth Paltrow', u'Terrence Howard']" +7.9,Do the Right Thing,R,Comedy,120,"[u'Danny Aiello', u'Ossie Davis', u'Ruby Dee']" +7.9,Carlito's Way,R,Crime,144,"[u'Al Pacino', u'Sean Penn', u'Penelope Ann Miller']" +7.9,"Crouching Tiger, Hidden Dragon",PG-13,Action,120,"[u'Yun-Fat Chow', u'Michelle Yeoh', u'Ziyi Zhang']" +7.9,Lilya 4-Ever,R,Crime,109,"[u'Oksana Akinshina', u'Artyom Bogucharskiy', u'Pavel Ponomaryov']" +7.9,The Chorus,PG-13,Drama,97,"[u'G\xe9rard Jugnot', u'Fran\xe7ois Berl\xe9and', u'Jean-Baptiste Maunier']" +7.9,The Boondock Saints,R,Action,108,"[u'Willem Dafoe', u'Sean Patrick Flanery', u'Norman Reedus']" +7.9,Miller's Crossing,R,Crime,115,"[u'Gabriel Byrne', u'Albert Finney', u'John Turturro']" +7.9,Walk the Line,PG-13,Biography,136,"[u'Joaquin Phoenix', u'Reese Witherspoon', u'Ginnifer Goodwin']" +7.9,Shrek,PG,Animation,90,"[u'Mike Myers', u'Eddie Murphy', u'Cameron Diaz']" +7.9,My Fair Lady,APPROVED,Drama,170,"[u'Audrey Hepburn', u'Rex Harrison', u'Stanley Holloway']" +7.9,The Ten Commandments,APPROVED,Adventure,220,"[u'Charlton Heston', u'Yul Brynner', u'Anne Baxter']" +7.9,The Fighter,R,Biography,116,"[u'Mark Wahlberg', u'Christian Bale', u'Amy Adams']" +7.9,Captain Phillips,PG-13,Biography,134,"[u'Tom Hanks', u'Barkhad Abdi', u'Barkhad Abdirahman']" +7.9,Cabaret,PG,Drama,124,"[u'Liza Minnelli', u'Michael York', u'Helmut Griem']" +7.9,Halloween,R,Drama,91,"[u'Donald Pleasence', u'Jamie Lee Curtis', u'Tony Moran']" +7.9,My Left Foot,R,Biography,103,"[u'Daniel Day-Lewis', u'Brenda Fricker', u'Alison Whelan']" +7.9,Miracle on 34th Street,APPROVED,Comedy,96,"[u'Edmund Gwenn', u""Maureen O'Hara"", u'John Payne']" +7.9,The Man from Nowhere,R,Action,119,"[u'Bin Won', u'Sae-ron Kim', u'Tae-hoon Kim']" +7.9,Toki o kakeru shojo,NOT RATED,Animation,98,"[u'Riisa Naka', u'Takuya Ishida', u'Mitsutaka Itakura']" +7.9,Little Miss Sunshine,R,Adventure,101,"[u'Steve Carell', u'Toni Collette', u'Greg Kinnear']" +7.9,Taken,PG-13,Action,93,"[u'Liam Neeson', u'Maggie Grace', u'Famke Janssen']" +7.9,Blue Is the Warmest Color,NC-17,Drama,179,"[u'L\xe9a Seydoux', u'Ad\xe8le Exarchopoulos', u'Salim Kechiouche']" +7.9,Boogie Nights,R,Drama,155,"[u'Mark Wahlberg', u'Julianne Moore', u'Burt Reynolds']" +7.9,Hot Fuzz,R,Comedy,121,"[u'Simon Pegg', u'Nick Frost', u'Martin Freeman']" +7.9,Ferris Bueller's Day Off,PG-13,Comedy,103,"[u'Matthew Broderick', u'Alan Ruck', u'Mia Sara']" +7.9,The World's Fastest Indian,PG-13,Biography,127,"[u'Anthony Hopkins', u'Diane Ladd', u'Iain Rea']" +7.9,Kiki's Delivery Service,G,Animation,103,"[u'Kirsten Dunst', u'Minami Takayama', u'Rei Sakuma']" +7.9,Down by Law,R,Comedy,107,"[u'Tom Waits', u'John Lurie', u'Roberto Benigni']" +7.9,Glengarry Glen Ross,R,Drama,100,"[u'Al Pacino', u'Jack Lemmon', u'Alec Baldwin']" +7.9,Clerks,R,Comedy,92,"[u""Brian O'Halloran"", u'Jeff Anderson', u'Marilyn Ghigliotti']" +7.9,Adam's Apples,R,Comedy,94,"[u'Ulrich Thomsen', u'Mads Mikkelsen', u'Nicolas Bro']" +7.9,The Girl with the Dragon Tattoo,R,Crime,158,"[u'Daniel Craig', u'Rooney Mara', u'Christopher Plummer']" +7.9,The 39 Steps,UNRATED,Mystery,86,"[u'Robert Donat', u'Madeleine Carroll', u'Lucie Mannheim']" +7.9,E.T. the Extra-Terrestrial,PG,Family,115,"[u'Henry Thomas', u'Drew Barrymore', u'Peter Coyote']" +7.8,Tombstone,R,Action,130,"[u'Kurt Russell', u'Val Kilmer', u'Sam Elliott']" +7.8,Predator,R,Action,107,"[u'Arnold Schwarzenegger', u'Carl Weathers', u'Kevin Peter Hall']" +7.8,Tangled,PG,Animation,100,"[u'Mandy Moore', u'Zachary Levi', u'Donna Murphy']" +7.8,Guess Who's Coming to Dinner,UNRATED,Comedy,108,"[u'Spencer Tracy', u'Sidney Poitier', u'Katharine Hepburn']" +7.8,Ordinary People,R,Drama,124,"[u'Donald Sutherland', u'Mary Tyler Moore', u'Judd Hirsch']" +7.8,The Best Offer,R,Crime,131,"[u'Geoffrey Rush', u'Jim Sturgess', u'Sylvia Hoeks']" +7.8,Silver Linings Playbook,R,Comedy,122,"[u'Bradley Cooper', u'Jennifer Lawrence', u'Robert De Niro']" +7.8,Hamlet,PG-13,Drama,242,"[u'Kenneth Branagh', u'Julie Christie', u'Derek Jacobi']" +7.8,Amour,PG-13,Drama,127,"[u'Jean-Louis Trintignant', u'Emmanuelle Riva', u'Isabelle Huppert']" +7.8,I Saw the Devil,NOT RATED,Crime,141,"[u'Byung-hun Lee', u'Min-sik Choi', u'In-seo Kim']" +7.8,The Motorcycle Diaries,R,Adventure,126,"[u'Gael Garc\xeda Bernal', u'Rodrigo De la Serna', u'M\xeda Maestro']" +7.8,Office Space,R,Comedy,89,"[u'Ron Livingston', u'Jennifer Aniston', u'David Herman']" +7.8,Evil,NOT RATED,Drama,113,"[u'Andreas Wilson', u'Henrik Lundstr\xf6m', u'Gustaf Skarsg\xe5rd']" +7.8,The Girl with the Dragon Tattoo,R,Crime,152,"[u'Michael Nyqvist', u'Noomi Rapace', u'Ewa Fr\xf6ling']" +7.8,Withnail & I,R,Comedy,107,"[u'Richard E. Grant', u'Paul McGann', u'Richard Griffiths']" +7.8,The Day the Earth Stood Still,APPROVED,Sci-Fi,92,"[u'Michael Rennie', u'Patricia Neal', u'Hugh Marlowe']" +7.8,Black Book,R,Drama,145,"[u'Carice van Houten', u'Sebastian Koch', u'Thom Hoffman']" +7.8,Evil Dead II,X,Comedy,84,"[u'Bruce Campbell', u'Sarah Berry', u'Dan Hicks']" +7.8,Kaze tachinu,PG-13,Animation,126,"[u'Hideaki Anno', u'Hidetoshi Nishijima', u'Miori Takimoto']" +7.8,Star Trek Into Darkness,PG-13,Action,132,"[u'Chris Pine', u'Zachary Quinto', u'Zoe Saldana']" +7.8,The Triplets of Belleville,PG-13,Animation,78,"[u'Mich\xe8le Caucheteux', u'Jean-Claude Donda', u'Michel Robin']" +7.8,Open Your Eyes,R,Drama,117,"[u'Eduardo Noriega', u'Pen\xe9lope Cruz', u'Chete Lera']" +7.8,The Magnificent Seven,NOT RATED,Action,128,"[u'Yul Brynner', u'Steve McQueen', u'Charles Bronson']" +7.8,Drive,R,Crime,100,"[u'Ryan Gosling', u'Carey Mulligan', u'Bryan Cranston']" +7.8,Mississippi Burning,R,Crime,128,"[u'Gene Hackman', u'Willem Dafoe', u'Frances McDormand']" +7.8,The Lego Movie,PG,Animation,100,"[u'Chris Pratt', u'Will Ferrell', u'Elizabeth Banks']" +7.8,The Day of the Jackal,PG,Crime,143,"[u'Edward Fox', u'Terence Alexander', u'Michel Auclair']" +7.8,Misery,R,Thriller,107,"[u'James Caan', u'Kathy Bates', u'Richard Farnsworth']" +7.8,Willy Wonka & the Chocolate Factory,G,Family,100,"[u'Gene Wilder', u'Jack Albertson', u'Peter Ostrum']" +7.8,Fantasia,G,Animation,125,"[u'Leopold Stokowski', u'Deems Taylor', u'Corey Burton']" +7.8,Gattaca,PG-13,Drama,106,"[u'Ethan Hawke', u'Uma Thurman', u'Jude Law']" +7.8,American Gangster,R,Biography,157,"[u'Denzel Washington', u'Russell Crowe', u'Chiwetel Ejiofor']" +7.8,Porco Rosso,PG,Animation,94,"[u'Sh\xfbichir\xf4 Moriyama', u'Tokiko Kat\xf4', u'Sanshi Katsura']" +7.8,The French Connection,R,Action,104,"[u'Gene Hackman', u'Roy Scheider', u'Fernando Rey']" +7.8,The Boy in the Striped Pajamas,PG-13,Drama,94,"[u'Asa Butterfield', u'David Thewlis', u'Rupert Friend']" +7.8,Empire of the Sun,PG,Drama,153,"[u'Christian Bale', u'John Malkovich', u'Miranda Richardson']" +7.8,About Time,R,Drama,123,"[u'Domhnall Gleeson', u'Rachel McAdams', u'Bill Nighy']" +7.8,Blue Velvet,R,Crime,120,"[u'Isabella Rossellini', u'Kyle MacLachlan', u'Dennis Hopper']" +7.8,In America,PG-13,Drama,105,"[u'Paddy Considine', u'Samantha Morton', u'Djimon Hounsou']" +7.8,The Curious Case of Benjamin Button,PG-13,Drama,166,"[u'Brad Pitt', u'Cate Blanchett', u'Tilda Swinton']" +7.8,The Last of the Mohicans,R,Action,112,"[u'Daniel Day-Lewis', u'Madeleine Stowe', u'Russell Means']" +7.8,Moonrise Kingdom,PG-13,Adventure,94,"[u'Jared Gilman', u'Kara Hayward', u'Bruce Willis']" +7.8,Rebel Without a Cause,PG-13,Drama,111,"[u'James Dean', u'Natalie Wood', u'Sal Mineo']" +7.8,Fantastic Mr. Fox,PG,Animation,87,"[u'George Clooney', u'Meryl Streep', u'Bill Murray']" +7.8,Invasion of the Body Snatchers,APPROVED,Horror,80,"[u'Kevin McCarthy', u'Dana Wynter', u'Larry Gates']" +7.8,October Sky,PG,Biography,108,"[u'Jake Gyllenhaal', u'Chris Cooper', u'Laura Dern']" +7.8,Dirty Harry,R,Action,102,"[u'Clint Eastwood', u'Andrew Robinson', u'Harry Guardino']" +7.8,Ghostbusters,PG,Comedy,105,"[u'Bill Murray', u'Dan Aykroyd', u'Sigourney Weaver']" +7.8,Captain America: The Winter Soldier,PG-13,Action,136,"[u'Chris Evans', u'Samuel L. Jackson', u'Scarlett Johansson']" +7.8,Wreck-It Ralph,PG,Animation,101,"[u'John C. Reilly', u'Jack McBrayer', u'Jane Lynch']" +7.8,The Hangover,R,Comedy,100,"[u'Zach Galifianakis', u'Bradley Cooper', u'Justin Bartha']" +7.8,Back to the Future Part II,PG,Adventure,108,"[u'Michael J. Fox', u'Christopher Lloyd', u'Lea Thompson']" +7.8,Belle de Jour,APPROVED,Drama,101,"[u'Catherine Deneuve', u'Jean Sorel', u'Michel Piccoli']" +7.8,"O Brother, Where Art Thou?",PG-13,Adventure,106,"[u'George Clooney', u'John Turturro', u'Tim Blake Nelson']" +7.8,Repulsion,UNRATED,Drama,105,"[u'Catherine Deneuve', u'Ian Hendry', u'John Fraser']" +7.8,Airplane!,PG,Comedy,88,"[u'Robert Hays', u'Julie Hagerty', u'Leslie Nielsen']" +7.8,Pride & Prejudice,PG,Drama,129,"[u'Keira Knightley', u'Matthew Macfadyen', u'Brenda Blethyn']" +7.8,Zulu,UNRATED,Drama,138,"[u'Stanley Baker', u'Jack Hawkins', u'Ulla Jacobsson']" +7.8,Night on Earth,R,Comedy,129,"[u'Winona Ryder', u'Gena Rowlands', u'Lisanne Falk']" +7.8,From Here to Eternity,NOT RATED,Drama,118,"[u'Burt Lancaster', u'Montgomery Clift', u'Deborah Kerr']" +7.8,Apocalypto,R,Action,139,"[u'Gerardo Taracena', u'Raoul Trujillo', u'Dalia Hern\xe1ndez']" +7.8,Atonement,R,Drama,123,"[u'Keira Knightley', u'James McAvoy', u'Brenda Blethyn']" +7.8,The Dirty Dozen,NOT RATED,Action,150,"[u'Lee Marvin', u'Ernest Borgnine', u'Charles Bronson']" +7.8,X-Men: First Class,PG-13,Action,132,"[u'James McAvoy', u'Michael Fassbender', u'Jennifer Lawrence']" +7.8,Run Lola Run,R,Action,80,"[u'Franka Potente', u'Moritz Bleibtreu', u'Herbert Knaup']" +7.8,The Longest Day,G,Action,178,"[u'John Wayne', u'Robert Ryan', u'Richard Burton']" +7.8,Zelig,PG,Comedy,79,"[u'Woody Allen', u'Mia Farrow', u'Patrick Horgan']" +7.8,The Last Emperor,PG-13,Biography,163,"[u'John Lone', u'Joan Chen', u""Peter O'Toole""]" +7.8,The Goonies,PG,Adventure,114,"[u'Sean Astin', u'Josh Brolin', u'Jeff Cohen']" +7.8,The White Ribbon,R,Drama,144,"[u'Christian Friedel', u'Ernst Jacobi', u'Leonie Benesch']" +7.8,The Fugitive,PG-13,Action,130,"[u'Harrison Ford', u'Tommy Lee Jones', u'Sela Ward']" +7.8,The Color Purple,PG-13,Drama,154,"[u'Danny Glover', u'Whoopi Goldberg', u'Oprah Winfrey']" +7.8,South Park: Bigger Longer & Uncut,R,Animation,81,"[u'Trey Parker', u'Matt Stone', u'Mary Kay Bergman']" +7.8,(500) Days of Summer,PG-13,Comedy,95,"[u'Zooey Deschanel', u'Joseph Gordon-Levitt', u'Geoffrey Arend']" +7.8,Lost in Translation,R,Drama,101,"[u'Bill Murray', u'Scarlett Johansson', u'Giovanni Ribisi']" +7.8,Argo,R,Drama,120,"[u'Ben Affleck', u'Bryan Cranston', u'John Goodman']" +7.8,Blazing Saddles,R,Comedy,93,"[u'Cleavon Little', u'Gene Wilder', u'Slim Pickens']" +7.8,Breakfast at Tiffany's,NOT RATED,Comedy,115,"[u'Audrey Hepburn', u'George Peppard', u'Patricia Neal']" +7.8,Finding Neverland,PG,Biography,106,"[u'Johnny Depp', u'Kate Winslet', u'Julie Christie']" +7.8,The Experiment,R,Drama,120,"[u'Moritz Bleibtreu', u'Christian Berkel', u'Oliver Stokowski']" +7.8,Lucky Number Slevin,R,Crime,110,"[u'Josh Hartnett', u'Ben Kingsley', u'Morgan Freeman']" +7.8,The Theory of Everything,PG-13,Biography,123,"[u'Eddie Redmayne', u'Felicity Jones', u'Tom Prior']" +7.8,Harry Potter and the Prisoner of Azkaban,PG,Adventure,142,"[u'Daniel Radcliffe', u'Emma Watson', u'Rupert Grint']" +7.8,Kung Fu Hustle,R,Action,99,"[u'Stephen Chow', u'Wah Yuen', u'Qiu Yuen']" +7.8,Being John Malkovich,R,Comedy,112,"[u'John Cusack', u'Cameron Diaz', u'Catherine Keener']" +7.8,The Social Network,PG-13,Biography,120,"[u'Jesse Eisenberg', u'Andrew Garfield', u'Justin Timberlake']" +7.8,3:10 to Yuma,R,Adventure,122,"[u'Russell Crowe', u'Christian Bale', u'Ben Foster']" +7.8,The Name of the Rose,R,Crime,130,"[u'Sean Connery', u'Christian Slater', u'Helmut Qualtinger']" +7.8,Mary Poppins,APPROVED,Comedy,139,"[u'Julie Andrews', u'Dick Van Dyke', u'David Tomlinson']" +7.8,The Game,R,Drama,129,"[u'Michael Douglas', u'Deborah Kara Unger', u'Sean Penn']" +7.8,Changeling,R,Drama,141,"[u'Angelina Jolie', u'Colm Feore', u'Amy Ryan']" +7.8,Donnie Brasco,R,Biography,127,"[u'Al Pacino', u'Johnny Depp', u'Michael Madsen']" +7.8,Serpico,R,Biography,130,"[u'Al Pacino', u'John Randolph', u'Jack Kehoe']" +7.8,What's Eating Gilbert Grape,PG-13,Drama,118,"[u'Johnny Depp', u'Leonardo DiCaprio', u'Juliette Lewis']" +7.8,Goldfinger,APPROVED,Action,110,"[u'Sean Connery', u'Gert Fr\xf6be', u'Honor Blackman']" +7.8,Nebraska,R,Adventure,115,"[u'Bruce Dern', u'Will Forte', u'June Squibb']" +7.8,The Sandlot,PG,Comedy,101,"[u'Tom Guiry', u'Mike Vitar', u'Patrick Renna']" +7.8,Boyz n the Hood,R,Crime,112,"[u'Cuba Gooding Jr.', u'Laurence Fishburne', u'Hudhail Al-Amir']" +7.8,The Bourne Supremacy,PG-13,Action,108,"[u'Matt Damon', u'Franka Potente', u'Joan Allen']" +7.8,Skyfall,PG-13,Action,143,"[u'Daniel Craig', u'Javier Bardem', u'Naomie Harris']" +7.8,Ray,PG-13,Biography,152,"[u'Jamie Foxx', u'Regina King', u'Kerry Washington']" +7.8,300,R,Action,117,"[u'Gerard Butler', u'Lena Headey', u'David Wenham']" +7.8,A Bronx Tale,R,Crime,121,"[u'Robert De Niro', u'Chazz Palminteri', u'Lillo Brancato']" +7.8,The Birds,PG-13,Horror,119,"[u'Rod Taylor', u'Tippi Hedren', u'Suzanne Pleshette']" +7.8,Battle Royale,NOT RATED,Action,114,"[u'Tatsuya Fujiwara', u'Aki Maeda', u'Tar\xf4 Yamamoto']" +7.8,Control,R,Biography,122,"[u'Sam Riley', u'Samantha Morton', u'Craig Parkinson']" +7.8,Kramer vs. Kramer,APPROVED,Drama,105,"[u'Dustin Hoffman', u'Meryl Streep', u'Jane Alexander']" +7.8,Deliverance,R,Adventure,110,"[u'Jon Voight', u'Burt Reynolds', u'Ned Beatty']" +7.8,Ocean's Eleven,PG-13,Crime,116,"[u'George Clooney', u'Brad Pitt', u'Julia Roberts']" +7.8,As Good as It Gets,PG-13,Comedy,139,"[u'Jack Nicholson', u'Helen Hunt', u'Greg Kinnear']" +7.8,Awakenings,PG-13,Biography,121,"[u'Robert De Niro', u'Robin Williams', u'Julie Kavner']" +7.8,The King of Comedy,PG,Comedy,109,"[u'Robert De Niro', u'Jerry Lewis', u'Diahnne Abbott']" +7.8,Man on Fire,R,Action,146,"[u'Denzel Washington', u'Christopher Walken', u'Dakota Fanning']" +7.8,Sabrina,UNRATED,Comedy,113,"[u'Humphrey Bogart', u'Audrey Hepburn', u'William Holden']" +7.8,Dark City,R,Mystery,100,"[u'Rufus Sewell', u'Kiefer Sutherland', u'Jennifer Connelly']" +7.8,Good Bye Lenin!,R,Comedy,121,"[u'Daniel Br\xfchl', u'Katrin Sa\xdf', u'Chulpan Khamatova']" +7.7,Remember the Titans,PG,Biography,113,"[u'Denzel Washington', u'Will Patton', u'Wood Harris']" +7.7,Star Trek II: The Wrath of Khan,PG,Action,113,"[u'William Shatner', u'Leonard Nimoy', u'DeForest Kelley']" +7.7,Road to Perdition,R,Crime,117,"[u'Tom Hanks', u'Tyler Hoechlin', u'Rob Maxey']" +7.7,Rushmore,R,Comedy,93,"[u'Jason Schwartzman', u'Bill Murray', u'Olivia Williams']" +7.7,The Machinist,R,Drama,101,"[u'Christian Bale', u'Jennifer Jason Leigh', u'Aitana S\xe1nchez-Gij\xf3n']" +7.7,Flipped,PG,Comedy,90,"[u'Madeline Carroll', u'Callan McAuliffe', u'Rebecca De Mornay']" +7.7,The Count of Monte Cristo,PG-13,Action,131,"[u'Jim Caviezel', u'Guy Pearce', u'Richard Harris']" +7.7,Detachment,NOT RATED,Drama,98,"[u'Adrien Brody', u'Christina Hendricks', u'Marcia Gay Harden']" +7.7,Love Me If You Dare,R,Comedy,93,"[u'Guillaume Canet', u'Marion Cotillard', u'Thibault Verhaeghe']" +7.7,Dead Man,R,Drama,121,"[u'Johnny Depp', u'Gary Farmer', u'Crispin Glover']" +7.7,The Purple Rose of Cairo,PG,Comedy,82,"[u'Mia Farrow', u'Jeff Daniels', u'Danny Aiello']" +7.7,21 Grams,R,Crime,124,"[u'Sean Penn', u'Benicio Del Toro', u'Naomi Watts']" +7.7,50/50,R,Comedy,100,"[u'Joseph Gordon-Levitt', u'Seth Rogen', u'Anna Kendrick']" +7.7,Kick-Ass,R,Action,117,"[u'Aaron Taylor-Johnson', u'Nicolas Cage', u'Chlo\xeb Grace Moretz']" +7.7,Delicatessen,R,Comedy,99,"[u'Marie-Laure Dougnac', u'Dominique Pinon', u'Pascal Benezech']" +7.7,Barton Fink,R,Drama,116,"[u'John Turturro', u'John Goodman', u'Judy Davis']" +7.7,The Last King of Scotland,R,Biography,123,"[u'James McAvoy', u'Forest Whitaker', u'Gillian Anderson']" +7.7,Adaptation.,R,Comedy,114,"[u'Nicolas Cage', u'Meryl Streep', u'Chris Cooper']" +7.7,A Very Long Engagement,R,Drama,133,"[u'Audrey Tautou', u'Gaspard Ulliel', u'Jodie Foster']" +7.7,Mysterious Skin,NC-17,Drama,105,"[u'Brady Corbet', u'Joseph Gordon-Levitt', u'Elisabeth Shue']" +7.7,Stardust,PG-13,Adventure,127,"[u'Charlie Cox', u'Claire Danes', u'Sienna Miller']" +7.7,Black Hawk Down,R,Drama,144,"[u'Josh Hartnett', u'Ewan McGregor', u'Tom Sizemore']" +7.7,Paprika,R,Animation,90,"[u'Megumi Hayashibara', u'T\xf4ru Emori', u'Katsunosuke Hori']" +7.7,Fear and Loathing in Las Vegas,R,Comedy,118,"[u'Johnny Depp', u'Benicio Del Toro', u'Tobey Maguire']" +7.7,Frost/Nixon,R,Drama,122,"[u'Frank Langella', u'Michael Sheen', u'Kevin Bacon']" +7.7,Enter the Dragon,R,Action,102,"[u'Bruce Lee', u'John Saxon', u'Jim Kelly']" +7.7,Short Cuts,R,Comedy,187,"[u'Andie MacDowell', u'Julianne Moore', u'Tim Robbins']" +7.7,A Hard Day's Night,APPROVED,Comedy,87,"[u'John Lennon', u'Paul McCartney', u'George Harrison']" +7.7,The Last Samurai,R,Action,154,"[u'Tom Cruise', u'Ken Watanabe', u'Billy Connolly']" +7.7,The Station Agent,R,Comedy,89,"[u'Peter Dinklage', u'Patricia Clarkson', u'Bobby Cannavale']" +7.7,Zombieland,R,Comedy,88,"[u'Jesse Eisenberg', u'Emma Stone', u'Woody Harrelson']" +7.7,Sympathy for Mr. Vengeance,R,Crime,129,"[u'Kang-ho Song', u'Ha-kyun Shin', u'Doona Bae']" +7.7,Despicable Me,PG,Animation,95,"[u'Steve Carell', u'Jason Segel', u'Russell Brand']" +7.7,Shane,APPROVED,Drama,118,"[u'Alan Ladd', u'Jean Arthur', u'Van Heflin']" +7.7,Forbidden Planet,PASSED,Action,98,"[u'Walter Pidgeon', u'Anne Francis', u'Leslie Nielsen']" +7.7,Titanic,PG-13,Drama,194,"[u'Leonardo DiCaprio', u'Kate Winslet', u'Billy Zane']" +7.7,Gone Baby Gone,R,Crime,114,"[u'Morgan Freeman', u'Ed Harris', u'Casey Affleck']" +7.7,The Dinner Game,PG-13,Comedy,80,"[u'Thierry Lhermitte', u'Jacques Villeret', u'Francis Huster']" +7.7,Dawn of the Planet of the Apes,PG-13,Action,130,"[u'Gary Oldman', u'Keri Russell', u'Andy Serkis']" +7.7,25th Hour,R,Crime,135,"[u'Edward Norton', u'Barry Pepper', u'Philip Seymour Hoffman']" +7.7,Ponyo,G,Animation,101,"[u'Cate Blanchett', u'Matt Damon', u'Liam Neeson']" +7.7,Shine,PG-13,Biography,105,"[u'Geoffrey Rush', u'Armin Mueller-Stahl', u'Justin Braine']" +7.7,The Blind Side,PG-13,Biography,129,"[u'Quinton Aaron', u'Sandra Bullock', u'Tim McGraw']" +7.7,Brokeback Mountain,R,Drama,134,"[u'Jake Gyllenhaal', u'Heath Ledger', u'Michelle Williams']" +7.7,Cast Away,PG-13,Adventure,143,"[u'Tom Hanks', u'Helen Hunt', u'Paul Sanchez']" +7.7,Malcolm X,PG-13,Biography,202,"[u'Denzel Washington', u'Angela Bassett', u'Delroy Lindo']" +7.7,Show Me Love,UNRATED,Comedy,89,"[u'Alexandra Dahlstr\xf6m', u'Rebecka Liljeberg', u'Erica Carlson']" +7.7,Boy A,R,Drama,106,"[u'Andrew Garfield', u'Peter Mullan', u'Shaun Evans']" +7.7,The Warriors,R,Action,92,"[u'Michael Beck', u'James Remar', u'Dorsey Wright']" +7.7,Close Encounters of the Third Kind,PG,Drama,137,"[u'Richard Dreyfuss', u'Fran\xe7ois Truffaut', u'Teri Garr']" +7.7,Match Point,R,Drama,124,"[u'Scarlett Johansson', u'Jonathan Rhys Meyers', u'Emily Mortimer']" +7.7,Training Day,R,Crime,122,"[u'Denzel Washington', u'Ethan Hawke', u'Scott Glenn']" +7.7,The Butterfly Effect,R,Sci-Fi,113,"[u'Ashton Kutcher', u'Amy Smart', u'Melora Walters']" +7.7,The City of Lost Children,R,Fantasy,112,"[u'Ron Perlman', u'Daniel Emilfork', u'Judith Vittet']" +7.7,Billy Elliot,PG-13,Comedy,110,"[u'Jamie Bell', u'Julie Walters', u'Jean Heywood']" +7.7,Love Actually,R,Comedy,135,"[u'Hugh Grant', u'Martine McCutcheon', u'Liam Neeson']" +7.7,The Producers,PG,Comedy,88,"[u'Zero Mostel', u'Gene Wilder', u'Dick Shawn']" +7.7,Harry Potter and the Deathly Hallows: Part 1,PG-13,Adventure,146,"[u'Daniel Radcliffe', u'Emma Watson', u'Rupert Grint']" +7.7,The Visitor,PG-13,Drama,104,"[u'Richard Jenkins', u'Haaz Sleiman', u'Danai Gurira']" +7.7,Philadelphia,PG-13,Drama,125,"[u'Tom Hanks', u'Denzel Washington', u'Roberta Maxwell']" +7.7,Sense and Sensibility,PG,Drama,131,"[u'Emma Thompson', u'Kate Winslet', u'James Fleet']" +7.7,Three Colors: White,R,Comedy,91,"[u'Zbigniew Zamachowski', u'Julie Delpy', u'Janusz Gajos']" +7.7,La grande bellezza,NOT RATED,Drama,142,"[u'Toni Servillo', u'Carlo Verdone', u'Sabrina Ferilli']" +7.7,Primal Fear,R,Crime,129,"[u'Richard Gere', u'Laura Linney', u'Edward Norton']" +7.7,Where Eagles Dare,,Action,158,"[u'Richard Burton', u'Clint Eastwood', u'Mary Ure']" +7.7,Dazed and Confused,R,Comedy,102,"[u'Jason London', u'Wiley Wiggins', u'Matthew McConaughey']" +7.7,Blood Simple.,R,Crime,99,"[u'John Getz', u'Frances McDormand', u'Dan Hedaya']" +7.7,This Is England,UNRATED,Crime,101,"[u'Thomas Turgoose', u'Stephen Graham', u'Jo Hartley']" +7.7,Fearless,PG-13,Action,104,"[u'Jet Li', u'Li Sun', u'Yong Dong']" +7.7,Dangerous Liaisons,R,Drama,119,"[u'Glenn Close', u'John Malkovich', u'Michelle Pfeiffer']" +7.7,Saw,R,Horror,103,"[u'Cary Elwes', u'Leigh Whannell', u'Danny Glover']" +7.7,Snow White and the Seven Dwarfs,APPROVED,Animation,88,"[u'Adriana Caselotti', u'Harry Stockwell', u'Lucille La Verne']" +7.7,Coraline,PG,Animation,100,"[u'Dakota Fanning', u'Teri Hatcher', u'John Hodgman']" +7.7,The Hunger Games: Catching Fire,PG-13,Adventure,146,"[u'Jennifer Lawrence', u'Josh Hutcherson', u'Liam Hemsworth']" +7.7,Sophie's Choice,R,Drama,150,"[u'Meryl Streep', u'Kevin Kline', u'Peter MacNicol']" +7.7,La Vie en Rose,PG-13,Biography,140,"[u'Marion Cotillard', u'Sylvie Testud', u'Pascal Greggory']" +7.7,Star Wars: Episode III - Revenge of the Sith,PG-13,Action,140,"[u'Hayden Christensen', u'Natalie Portman', u'Ewan McGregor']" +7.7,True Grit,PG-13,Adventure,110,"[u'Jeff Bridges', u'Matt Damon', u'Hailee Steinfeld']" +7.7,After Hours,R,Comedy,97,"[u'Griffin Dunne', u'Rosanna Arquette', u'Verna Bloom']" +7.7,Frozen,PG,Animation,102,"[u'Kristen Bell', u'Idina Menzel', u'Jonathan Groff']" +7.7,Lolita,NOT RATED,Drama,152,"[u'James Mason', u'Shelley Winters', u'Sue Lyon']" +7.7,Eastern Promises,R,Crime,100,"[u'Naomi Watts', u'Viggo Mortensen', u'Armin Mueller-Stahl']" +7.7,Midnight in Paris,PG-13,Comedy,94,"[u'Owen Wilson', u'Rachel McAdams', u'Kathy Bates']" +7.7,The Muppet Christmas Carol,G,Comedy,85,"[u'Michael Caine', u'Dave Goelz', u'Steve Whitmire']" +7.7,Who Framed Roger Rabbit,PG,Animation,104,"[u'Bob Hoskins', u'Christopher Lloyd', u'Joanna Cassidy']" +7.7,Sympathy for Lady Vengeance,R,Crime,112,"[u'Yeong-ae Lee', u'Min-sik Choi', u'Shi-hoo Kim']" +7.7,Grindhouse,R,Action,191,"[u'Kurt Russell', u'Rose McGowan', u'Danny Trejo']" +7.7,In a Better World,R,Drama,119,"[u'Mikael Persbrandt', u'Trine Dyrholm', u'Markus Rygaard']" +7.7,Blow-Up,NOT RATED,Drama,111,"[u'David Hemmings', u'Vanessa Redgrave', u'Sarah Miles']" +7.7,The Secret World of Arrietty,G,Animation,94,"[u'Bridgit Mendler', u'Amy Poehler', u'Will Arnett']" +7.7,Kiss Kiss Bang Bang,R,Action,103,"[u'Robert Downey Jr.', u'Val Kilmer', u'Michelle Monaghan']" +7.7,Lost Highway,R,Drama,134,"[u'Bill Pullman', u'Patricia Arquette', u'John Roselius']" +7.7,Zodiac,R,Crime,157,"[u'Jake Gyllenhaal', u'Robert Downey Jr.', u'Mark Ruffalo']" +7.7,Les Miserables,PG-13,Drama,158,"[u'Hugh Jackman', u'Russell Crowe', u'Anne Hathaway']" +7.7,Moulin Rouge!,PG-13,Drama,127,"[u'Nicole Kidman', u'Ewan McGregor', u'John Leguizamo']" +7.7,Whale Rider,PG-13,Drama,101,"[u'Keisha Castle-Hughes', u'Rawiri Paratene', u'Vicky Haughton']" +7.7,End of Watch,R,Crime,109,"[u'Jake Gyllenhaal', u'Michael Pe\xf1a', u'Anna Kendrick']" +7.7,Philomena,PG-13,Biography,98,"[u'Judi Dench', u'Steve Coogan', u'Sophie Kennedy Clark']" +7.7,Fury,R,Action,134,"[u'Brad Pitt', u'Shia LaBeouf', u'Logan Lerman']" +7.7,The Big Blue,PG-13,Action,168,"[u'Jean-Marc Barr', u'Jean Reno', u'Rosanna Arquette']" +7.7,First Blood,R,Action,93,"[u'Sylvester Stallone', u'Brian Dennehy', u'Richard Crenna']" +7.7,Minority Report,PG-13,Action,145,"[u'Tom Cruise', u'Colin Farrell', u'Samantha Morton']" +7.7,Spellbound,UNRATED,Film-Noir,111,"[u'Ingrid Bergman', u'Gregory Peck', u'Michael Chekhov']" +7.7,The Wicker Man,R,Horror,88,"[u'Edward Woodward', u'Christopher Lee', u'Diane Cilento']" +7.7,Seven Pounds,PG-13,Drama,123,"[u'Will Smith', u'Rosario Dawson', u'Woody Harrelson']" +7.7,Midnight Express,R,Biography,121,"[u'Brad Davis', u'Irene Miracle', u'Bo Hopkins']" +7.7,Kelly's Heroes,GP,Action,144,"[u'Clint Eastwood', u'Telly Savalas', u'Don Rickles']" +7.7,MASH,R,Comedy,116,"[u'Donald Sutherland', u'Elliott Gould', u'Tom Skerritt']" +7.7,The Player,R,Comedy,124,"[u'Tim Robbins', u'Greta Scacchi', u'Fred Ward']" +7.7,Traffic,R,Crime,147,"[u'Michael Douglas', u'Benicio Del Toro', u'Catherine Zeta-Jones']" +7.7,Y Tu Mama Tambien,R,Drama,106,"[u'Maribel Verd\xfa', u'Gael Garc\xeda Bernal', u'Daniel Gim\xe9nez Cacho']" +7.7,Stranger Than Fiction,PG-13,Comedy,113,"[u'Will Ferrell', u'Emma Thompson', u'Dustin Hoffman']" +7.7,Inside Man,R,Crime,129,"[u'Denzel Washington', u'Clive Owen', u'Jodie Foster']" +7.6,127 Hours,R,Adventure,94,"[u'James Franco', u'Amber Tamblyn', u'Kate Mara']" +7.6,The Fifth Element,PG-13,Action,126,"[u'Bruce Willis', u'Milla Jovovich', u'Gary Oldman']" +7.6,Milk,R,Biography,128,"[u'Sean Penn', u'Josh Brolin', u'Emile Hirsch']" +7.6,United 93,R,Action,111,"[u'David Alan Basche', u'Olivia Thirlby', u'Liza Col\xf3n-Zayas']" +7.6,Jin ling shi san chai,R,Drama,146,"[u'Christian Bale', u'Ni Ni', u'Xinyi Zhang']" +7.6,Dracula,APPROVED,Horror,85,"[u'Bela Lugosi', u'Helen Chandler', u'David Manners']" +7.6,High Plains Drifter,R,Western,105,"[u'Clint Eastwood', u'Verna Bloom', u'Marianna Hill']" +7.6,I Am Sam,PG-13,Drama,132,"[u'Sean Penn', u'Michelle Pfeiffer', u'Dakota Fanning']" +7.6,Fried Green Tomatoes,PG-13,Drama,130,"[u'Kathy Bates', u'Jessica Tandy', u'Mary Stuart Masterson']" +7.6,Watchmen,R,Action,162,"[u'Jackie Earle Haley', u'Patrick Wilson', u'Carla Gugino']" +7.6,28 Days Later...,R,Horror,113,"[u'Cillian Murphy', u'Naomie Harris', u'Christopher Eccleston']" +7.6,The Illusionist,PG-13,Drama,110,"[u'Edward Norton', u'Jessica Biel', u'Paul Giamatti']" +7.6,Superbad,R,Comedy,113,"[u'Michael Cera', u'Jonah Hill', u'Christopher Mintz-Plasse']" +7.6,The Godfather: Part III,R,Crime,162,"[u'Al Pacino', u'Diane Keaton', u'Andy Garcia']" +7.6,The Royal Tenenbaums,R,Comedy,110,"[u'Gene Hackman', u'Gwyneth Paltrow', u'Anjelica Huston']" +7.6,The Jungle Book,APPROVED,Animation,78,"[u'Phil Harris', u'Sebastian Cabot', u'Louis Prima']" +7.6,Thank You for Smoking,R,Comedy,92,"[u'Aaron Eckhart', u'Cameron Bright', u'Maria Bello']" +7.6,Man Bites Dog,NC-17,Comedy,95,"[u'Beno\xeet Poelvoorde', u'Jacqueline Poelvoorde-Pappaert', u'Nelly Pappaert']" +7.6,A Few Good Men,R,Drama,138,"[u'Tom Cruise', u'Jack Nicholson', u'Demi Moore']" +7.6,The Legend of Drunken Master,R,Action,102,"[u'Jackie Chan', u'Ho-Sung Pak', u'Lung Ti']" +7.6,The Kite Runner,PG-13,Drama,128,"[u'Khalid Abdalla', u'Ahmad Khan Mahmoodzada', u'Atossa Leoni']" +7.6,When Harry Met Sally...,R,Comedy,96,"[u'Billy Crystal', u'Meg Ryan', u'Carrie Fisher']" +7.6,Munich,R,Drama,164,"[u'Eric Bana', u'Daniel Craig', u'Marie-Jos\xe9e Croze']" +7.6,House of Sand and Fog,R,Drama,126,"[u'Jennifer Connelly', u'Ben Kingsley', u'Ron Eldard']" +7.6,Lethal Weapon,R,Action,110,"[u'Mel Gibson', u'Danny Glover', u'Gary Busey']" +7.6,Animal House,R,Comedy,109,"[u'John Belushi', u'Karen Allen', u'Tom Hulce']" +7.6,Lord of War,R,Crime,122,"[u'Nicolas Cage', u'Ethan Hawke', u'Jared Leto']" +7.6,Blow,R,Biography,124,"[u'Johnny Depp', u'Pen\xe9lope Cruz', u'Franka Potente']" +7.6,Sherlock Holmes,PG-13,Action,128,"[u'Robert Downey Jr.', u'Jude Law', u'Rachel McAdams']" +7.6,Harry Potter and the Goblet of Fire,PG-13,Adventure,157,"[u'Daniel Radcliffe', u'Emma Watson', u'Rupert Grint']" +7.6,La piel que habito,R,Thriller,120,"[u'Antonio Banderas', u'Elena Anaya', u'Jan Cornet']" +7.6,The Crow,R,Action,102,"[u'Brandon Lee', u'Michael Wincott', u'Rochelle Davis']" +7.6,West Side Story,UNRATED,Crime,152,"[u'Natalie Wood', u'George Chakiris', u'Richard Beymer']" +7.6,The Thin Red Line,R,Drama,170,"[u'Jim Caviezel', u'Sean Penn', u'Nick Nolte']" +7.6,American Psycho,R,Crime,102,"[u'Christian Bale', u'Justin Theroux', u'Josh Lucas']" +7.6,The Blind Swordsman: Zatoichi,R,Action,116,"[u'Takeshi Kitano', u'Tadanobu Asano', u'Yui Natsukawa']" +7.6,The Last Temptation of Christ,R,Drama,164,"[u'Willem Dafoe', u'Harvey Keitel', u'Barbara Hershey']" +7.6,The Naked Gun: From the Files of Police Squad!,PG-13,Comedy,85,"[u'Leslie Nielsen', u'Priscilla Presley', u'O.J. Simpson']" +7.6,The Others,PG-13,Horror,104,"[u'Nicole Kidman', u'Christopher Eccleston', u'Fionnula Flanagan']" +7.6,The Party,PG,Comedy,99,"[u'Peter Sellers', u'Claudine Longet', u'Natalia Borisova']" +7.6,Army of Darkness,R,Comedy,81,"[u'Bruce Campbell', u'Embeth Davidtz', u'Marcus Gilbert']" +7.6,The Hurt Locker,R,Drama,131,"[u'Jeremy Renner', u'Anthony Mackie', u'Brian Geraghty']" +7.6,The Raid: Redemption,R,Action,101,"[u'Iko Uwais', u'Ananda George', u'Ray Sahetapy']" +7.6,Volver,R,Comedy,121,"[u'Pen\xe9lope Cruz', u'Carmen Maura', u'Lola Due\xf1as']" +7.6,Following,R,Mystery,69,"[u'Jeremy Theobald', u'Alex Haw', u'Lucy Russell']" +7.6,Kung Fu Panda,PG,Animation,92,"[u'Jack Black', u'Ian McShane', u'Angelina Jolie']" +7.6,Mad Max 2: The Road Warrior,R,Action,94,"[u'Mel Gibson', u'Bruce Spence', u'Michael Preston']" +7.6,Jusan-nin no shikaku,R,Action,141,"[u'K\xf4ji Yakusho', u'Takayuki Yamada', u'Y\xfbsuke Iseya']" +7.6,The Man Who Wasn't There,R,Crime,116,"[u'Billy Bob Thornton', u'Frances McDormand', u'Michael Badalucco']" +7.6,The Counterfeiters,R,Crime,98,"[u'Karl Markovics', u'August Diehl', u'Devid Striesow']" +7.6,The Hunt for Red October,PG,Action,135,"[u'Sean Connery', u'Alec Baldwin', u'Scott Glenn']" +7.6,Lone Survivor,R,Action,121,"[u'Mark Wahlberg', u'Taylor Kitsch', u'Emile Hirsch']" +7.6,A Fish Called Wanda,R,Comedy,108,"[u'John Cleese', u'Jamie Lee Curtis', u'Kevin Kline']" +7.6,The Impossible,PG-13,Drama,114,"[u'Naomi Watts', u'Ewan McGregor', u'Tom Holland']" +7.6,Garden State,R,Comedy,102,"[u'Zach Braff', u'Peter Sarsgaard', u'Natalie Portman']" +7.6,Escape from Alcatraz,PG,Action,112,"[u'Clint Eastwood', u'Patrick McGoohan', u'Roberts Blossom']" +7.6,Apollo 13,PG,Adventure,140,"[u'Tom Hanks', u'Bill Paxton', u'Kevin Bacon']" +7.6,"Lust, Caution",NC-17,Drama,157,"[u'Tony Chiu Wai Leung', u'Wei Tang', u'Joan Chen']" +7.6,Selma,PG-13,Biography,128,"[u'David Oyelowo', u'Carmen Ejogo', u'Tim Roth']" +7.6,Funny Games,UNRATED,Crime,108,"[u'Susanne Lothar', u'Ulrich M\xfche', u'Arno Frisch']" +7.6,The Abyss,PG-13,Adventure,139,"[u'Ed Harris', u'Mary Elizabeth Mastrantonio', u'Michael Biehn']" +7.6,Robin Hood,G,Animation,83,"[u'Brian Bedford', u'Phil Harris', u'Roger Miller']" +7.6,Enemy at the Gates,R,Drama,131,"[u'Jude Law', u'Ed Harris', u'Joseph Fiennes']" +7.6,Falling Down,R,Crime,113,"[u'Michael Douglas', u'Robert Duvall', u'Barbara Hershey']" +7.6,Little Children,R,Drama,136,"[u'Kate Winslet', u'Jennifer Connelly', u'Patrick Wilson']" +7.6,Hunger,NOT RATED,Biography,96,"[u'Stuart Graham', u'Laine Megaw', u'Brian Milligan']" +7.6,Indiana Jones and the Temple of Doom,PG,Action,118,"[u'Harrison Ford', u'Kate Capshaw', u'Jonathan Ke Quan']" +7.6,Ip Man 2,R,Action,108,"[u'Donnie Yen', u'Xiaoming Huang', u'Sammo Kam-Bo Hung']" +7.6,The Little Mermaid,G,Animation,83,"[u'Jodi Benson', u'Samuel E. Wright', u'Rene Auberjonois']" +7.6,"It's a Mad, Mad, Mad, Mad World",APPROVED,Action,205,"[u'Spencer Tracy', u'Milton Berle', u'Ethel Merman']" +7.6,The Reader,R,Drama,124,"[u'Kate Winslet', u'Ralph Fiennes', u'Bruno Ganz']" +7.6,The Omen,R,Horror,111,"[u'Gregory Peck', u'Lee Remick', u'Harvey Stephens']" +7.6,A Royal Affair,R,Drama,137,"[u'Alicia Vikander', u'Mads Mikkelsen', u'Mikkel Boe F\xf8lsgaard']" +7.6,Braindead,R,Comedy,104,"[u'Timothy Balme', u'Diana Pe\xf1alver', u'Elizabeth Moody']" +7.6,Secondhand Lions,PG,Comedy,109,"[u'Haley Joel Osment', u'Michael Caine', u'Robert Duvall']" +7.6,Disconnect,R,Drama,115,"[u'Jason Bateman', u'Jonah Bobo', u'Haley Ramm']" +7.6,A Single Man,R,Drama,99,"[u'Colin Firth', u'Julianne Moore', u'Matthew Goode']" +7.6,Hoosiers,PG,Drama,114,"[u'Gene Hackman', u'Barbara Hershey', u'Dennis Hopper']" +7.6,Moneyball,PG-13,Biography,133,"[u'Brad Pitt', u'Robin Wright', u'Jonah Hill']" +7.6,The Book Thief,PG-13,Drama,131,"[u'Sophie N\xe9lisse', u'Geoffrey Rush', u'Emily Watson']" +7.6,Die Hard: With a Vengeance,R,Action,131,"[u'Bruce Willis', u'Jeremy Irons', u'Samuel L. Jackson']" +7.6,Interview with the Vampire: The Vampire Chronicles,R,Horror,123,"[u'Brad Pitt', u'Tom Cruise', u'Antonio Banderas']" +7.6,Midnight Run,R,Action,126,"[u'Robert De Niro', u'Charles Grodin', u'Yaphet Kotto']" +7.6,An American Werewolf in London,R,Comedy,97,"[u'David Naughton', u'Jenny Agutter', u'Joe Belcher']" +7.6,The Great Debaters,PG-13,Biography,126,"[u'Denzel Washington', u'Forest Whitaker', u'Kimberly Elise']" +7.6,Tucker and Dale vs. Evil,R,Comedy,89,"[u'Tyler Labine', u'Alan Tudyk', u'Katrina Bowden']" +7.6,Dead Man Walking,R,Crime,122,"[u'Susan Sarandon', u'Sean Penn', u'Robert Prosky']" +7.6,The Piano,R,Drama,121,"[u'Holly Hunter', u'Harvey Keitel', u'Sam Neill']" +7.6,The Town,R,Crime,125,"[u'Ben Affleck', u'Rebecca Hall', u'Jon Hamm']" +7.6,Rise of the Planet of the Apes,PG-13,Action,105,"[u'James Franco', u'Andy Serkis', u'Freida Pinto']" +7.6,Boys Don't Cry,R,Biography,118,"[u'Hilary Swank', u'Chlo\xeb Sevigny', u'Peter Sarsgaard']" +7.6,Ice Age,PG,Animation,81,"[u'Denis Leary', u'John Leguizamo', u'Ray Romano']" +7.6,Of Mice and Men,PG-13,Drama,115,"[u'John Malkovich', u'Gary Sinise', u'Ray Walston']" +7.6,Sideways,R,Comedy,126,"[u'Paul Giamatti', u'Thomas Haden Church', u'Virginia Madsen']" +7.6,High Fidelity,R,Comedy,113,"[u'John Cusack', u'Iben Hjejle', u'Todd Louiso']" +7.6,The Meaning of Life,R,Comedy,107,"[u'John Cleese', u'Terry Gilliam', u'Eric Idle']" +7.6,Hugo,PG,Adventure,126,"[u'Asa Butterfield', u'Chlo\xeb Grace Moretz', u'Christopher Lee']" +7.6,Leaving Las Vegas,R,Drama,111,"[u'Nicolas Cage', u'Elisabeth Shue', u'Julian Sands']" +7.6,The Evil Dead,NC-17,Horror,85,"[u'Bruce Campbell', u'Ellen Sandweiss', u'Richard DeManincor']" +7.6,Collateral,R,Crime,120,"[u'Tom Cruise', u'Jamie Foxx', u'Jada Pinkett Smith']" +7.6,"Planes, Trains & Automobiles",R,Comedy,93,"[u'Steve Martin', u'John Candy', u'Laila Robins']" +7.6,Hodejegerne,R,Crime,100,"[u'Aksel Hennie', u'Synn\xf8ve Macody Lund', u'Nikolaj Coster-Waldau']" +7.6,Field of Dreams,PG,Drama,107,"[u'Kevin Costner', u'James Earl Jones', u'Ray Liotta']" +7.6,Batman,PG-13,Action,126,"[u'Michael Keaton', u'Jack Nicholson', u'Kim Basinger']" +7.6,Tell No One,UNRATED,Crime,131,"[u'Fran\xe7ois Cluzet', u'Marie-Jos\xe9e Croze', u'Andr\xe9 Dussollier']" +7.6,Ghost Dog: The Way of the Samurai,R,Action,116,"[u'Forest Whitaker', u'Henry Silva', u'John Tormey']" +7.6,Chaplin,PG-13,Biography,143,"[u'Robert Downey Jr.', u'Geraldine Chaplin', u'Paul Rhys']" +7.6,Keith,PG-13,Drama,93,"[u'Elisabeth Harnois', u'Jesse McCartney', u'Margo Harshman']" +7.6,Juno,PG-13,Comedy,96,"[u'Ellen Page', u'Michael Cera', u'Jennifer Garner']" +7.6,The Assassination of Jesse James by the Coward Robert Ford,R,Biography,160,"[u'Brad Pitt', u'Casey Affleck', u'Sam Shepard']" +7.6,The Fisher King,R,Comedy,137,"[u'Jeff Bridges', u'Robin Williams', u'Adam Bryant']" +7.6,House of Flying Daggers,PG-13,Action,119,"[u'Ziyi Zhang', u'Takeshi Kaneshiro', u'Andy Lau']" +7.6,The Hours,PG-13,Drama,114,"[u'Meryl Streep', u'Nicole Kidman', u'Julianne Moore']" +7.6,The Damned United,R,Biography,98,"[u'Colm Meaney', u'Henry Goodman', u'David Roper']" +7.6,Star Trek: First Contact,PG-13,Action,111,"[u'Patrick Stewart', u'Jonathan Frakes', u'Brent Spiner']" +7.6,The Natural,PG,Drama,138,"[u'Robert Redford', u'Robert Duvall', u'Glenn Close']" +7.6,The Hobbit: The Battle of the Five Armies,PG-13,Adventure,144,"[u'Ian McKellen', u'Martin Freeman', u'Richard Armitage']" +7.6,Equilibrium,R,Action,107,"[u'Christian Bale', u'Sean Bean', u'Emily Watson']" +7.6,August Rush,PG,Drama,114,"[u'Freddie Highmore', u'Keri Russell', u'Jonathan Rhys Meyers']" +7.6,Saving Mr. Banks,PG-13,Biography,125,"[u'Emma Thompson', u'Tom Hanks', u'Annie Rose Buckley']" +7.6,The Hurricane,R,Biography,146,"[u'Denzel Washington', u'Vicellous Reon Shannon', u'Deborah Kara Unger']" +7.6,Jacob's Ladder,R,Drama,113,"[u'Tim Robbins', u'Elizabeth Pe\xf1a', u'Danny Aiello']" +7.6,The Curse of the Were-Rabbit,G,Animation,85,"[u'Peter Sallis', u'Helena Bonham Carter', u'Ralph Fiennes']" +7.6,Christmas Vacation,PG-13,Comedy,97,"[u'Chevy Chase', u""Beverly D'Angelo"", u'Juliette Lewis']" +7.5,"Good Night, and Good Luck.",PG,Drama,93,"[u'David Strathairn', u'George Clooney', u'Patricia Clarkson']" +7.5,Straw Dogs,UNRATED,Crime,113,"[u'Dustin Hoffman', u'Susan George', u'Peter Vaughan']" +7.5,42,PG-13,Biography,128,"[u'Chadwick Boseman', u'T.R. Knight', u'Harrison Ford']" +7.5,Rudy,PG,Biography,114,"[u'Sean Astin', u'Jon Favreau', u'Ned Beatty']" +7.5,Sleepers,R,Crime,147,"[u'Robert De Niro', u'Kevin Bacon', u'Brad Pitt']" +7.5,The Wind That Shakes the Barley,NOT RATED,Drama,127,"[u'Cillian Murphy', u'Padraic Delaney', u'Liam Cunningham']" +7.5,Gangs of New York,R,Crime,167,"[u'Leonardo DiCaprio', u'Cameron Diaz', u'Daniel Day-Lewis']" +7.5,Elizabeth,R,Biography,124,"[u'Cate Blanchett', u'Geoffrey Rush', u'Christopher Eccleston']" +7.5,Green Street Hooligans,R,Crime,109,"[u'Elijah Wood', u'Charlie Hunnam', u'Claire Forlani']" +7.5,Reign Over Me,R,Drama,124,"[u'Adam Sandler', u'Don Cheadle', u'Jada Pinkett Smith']" +7.5,RoboCop,R,Action,102,"[u'Peter Weller', u'Nancy Allen', u""Dan O'Herlihy""]" +7.5,The Life of David Gale,R,Crime,130,"[u'Kevin Spacey', u'Kate Winslet', u'Laura Linney']" +7.5,Life as a House,R,Drama,125,"[u'Hayden Christensen', u'Kevin Kline', u'Kristin Scott Thomas']" +7.5,Despicable Me 2,PG,Animation,98,"[u'Steve Carell', u'Kristen Wiig', u'Benjamin Bratt']" +7.5,Jackie Brown,R,Crime,154,"[u'Pam Grier', u'Samuel L. Jackson', u'Robert Forster']" +7.5,Menace II Society,R,Crime,97,"[u'Tyrin Turner', u'Larenz Tate', u'June Kyoto Lu']" +7.5,The Class,PG-13,Drama,128,"[u'Fran\xe7ois B\xe9gaudeau', u'Agame Malembo-Emene', u'Ang\xe9lica Sancio']" +7.5,Bullets Over Broadway,R,Comedy,98,"[u'John Cusack', u'Dianne Wiest', u'Jennifer Tilly']" +7.5,American Splendor,R,Biography,101,"[u'Paul Giamatti', u'Shari Springer Berman', u'Harvey Pekar']" +7.5,Perfume: The Story of a Murderer,R,Crime,147,"[u'Ben Whishaw', u'Dustin Hoffman', u'Alan Rickman']" +7.5,Cloud Atlas,R,Drama,172,"[u'Tom Hanks', u'Halle Berry', u'Hugh Grant']" +7.5,Marathon Man,R,Crime,125,"[u'Dustin Hoffman', u'Laurence Olivier', u'Roy Scheider']" +7.5,Pinocchio,APPROVED,Animation,88,"[u'Dickie Jones', u'Christian Rub', u'Mel Blanc']" +7.5,The Painted Veil,PG-13,Drama,125,"[u'Naomi Watts', u'Edward Norton', u'Liev Schreiber']" +7.5,A Simple Plan,R,Crime,121,"[u'Bill Paxton', u'Billy Bob Thornton', u'Bridget Fonda']" +7.5,The Conjuring,R,Horror,112,"[u'Patrick Wilson', u'Vera Farmiga', u'Ron Livingston']" +7.5,The Man Who Knew Too Much,PG,Thriller,120,"[u'James Stewart', u'Doris Day', u'Brenda de Banzie']" +7.5,Quiz Show,PG-13,Drama,133,"[u'Ralph Fiennes', u'John Turturro', u'Rob Morrow']" +7.5,American Graffiti,PG,Comedy,110,"[u'Richard Dreyfuss', u'Ron Howard', u'Paul Le Mat']" +7.5,The Bridges of Madison County,PG-13,Drama,135,"[u'Clint Eastwood', u'Meryl Streep', u'Annie Corley']" +7.5,Gallipoli,PG,Adventure,110,"[u'Mel Gibson', u'Mark Lee', u'Bill Kerr']" +7.5,L'illusionniste,PG,Animation,80,"[u'Jean-Claude Donda', u'Eilidh Rankin', u'Duncan MacNeil']" +7.5,Miracle,PG,Drama,135,"[u'Kurt Russell', u'Patricia Clarkson', u'Nathan West']" +7.5,Maria Full of Grace,R,Crime,101,"[u'Catalina Sandino Moreno', u'Guilied Lopez', u'Orlando Tob\xf3n']" +7.5,Scott Pilgrim vs. the World,PG-13,Action,112,"[u'Michael Cera', u'Mary Elizabeth Winstead', u'Kieran Culkin']" +7.5,Pleasantville,PG-13,Comedy,124,"[u'Tobey Maguire', u'Jeff Daniels', u'Joan Allen']" +7.5,Sherlock Holmes: A Game of Shadows,PG-13,Action,129,"[u'Robert Downey Jr.', u'Jude Law', u'Jared Harris']" +7.5,Doubt,PG-13,Drama,104,"[u'Meryl Streep', u'Philip Seymour Hoffman', u'Amy Adams']" +7.5,The Fly,R,Horror,96,"[u'Jeff Goldblum', u'Geena Davis', u'John Getz']" +7.5,The Orphanage,R,Drama,105,"[u'Bel\xe9n Rueda', u'Fernando Cayo', u'Roger Pr\xedncep']" +7.5,Malena,R,Drama,109,"[u'Monica Bellucci', u'Giuseppe Sulfaro', u'Luciano Federico']" +7.5,Three Days of the Condor,R,Mystery,117,"[u'Robert Redford', u'Faye Dunaway', u'Cliff Robertson']" +7.5,[Rec],R,Horror,78,"[u'Manuela Velasco', u'Ferran Terraza', u'Jorge-Yamam Serrano']" +7.5,A Perfect World,PG-13,Crime,138,"[u'Kevin Costner', u'Clint Eastwood', u'Laura Dern']" +7.5,To Catch a Thief,APPROVED,Mystery,106,"[u'Cary Grant', u'Grace Kelly', u'Jessie Royce Landis']" +7.5,Best in Show,PG-13,Comedy,90,"[u'Fred Willard', u'Eugene Levy', u""Catherine O'Hara""]" +7.5,Everything Is Illuminated,PG-13,Comedy,106,"[u'Elijah Wood', u'Eugene Hutz', u'Boris Leskin']" +7.5,A Nightmare on Elm Street,R,Horror,91,"[u'Heather Langenkamp', u'Johnny Depp', u'Robert Englund']" +7.5,The Ice Storm,R,Drama,112,"[u'Kevin Kline', u'Joan Allen', u'Sigourney Weaver']" +7.5,X2,PG-13,Action,134,"[u'Patrick Stewart', u'Hugh Jackman', u'Halle Berry']" +7.5,We Need to Talk About Kevin,R,Drama,112,"[u'Tilda Swinton', u'John C. Reilly', u'Ezra Miller']" +7.5,Felon,R,Crime,104,"[u'Stephen Dorff', u'Marisol Nichols', u'Vincent Miller']" +7.5,Still Alice,PG-13,Drama,101,"[u'Julianne Moore', u'Alec Baldwin', u'Kristen Stewart']" +7.5,Rust and Bone,R,Drama,120,"[u'Marion Cotillard', u'Matthias Schoenaerts', u'Armand Verdure']" +7.5,Freedom Writers,PG-13,Biography,123,"[u'Hilary Swank', u'Imelda Staunton', u'Patrick Dempsey']" +7.5,Legends of the Fall,R,Drama,133,"[u'Brad Pitt', u'Anthony Hopkins', u'Aidan Quinn']" +7.5,Buffalo '66,R,Comedy,110,"[u'Vincent Gallo', u'Christina Ricci', u'Ben Gazzara']" +7.5,The Constant Gardener,R,Drama,129,"[u'Ralph Fiennes', u'Rachel Weisz', u'Hubert Kound\xe9']" +7.5,My Cousin Vinny,R,Comedy,120,"[u'Joe Pesci', u'Marisa Tomei', u'Ralph Macchio']" +7.5,The Texas Chain Saw Massacre,R,Horror,83,"[u'Marilyn Burns', u'Edwin Neal', u'Allen Danziger']" +7.5,Mulan,G,Animation,88,"[u'Ming-Na Wen', u'Eddie Murphy', u'BD Wong']" +7.5,A History of Violence,R,Crime,96,"[u'Viggo Mortensen', u'Maria Bello', u'Ed Harris']" +7.5,Open Range,R,Action,139,"[u'Kevin Costner', u'Robert Duvall', u'Diego Luna']" +7.5,Total Recall,R,Action,113,"[u'Arnold Schwarzenegger', u'Sharon Stone', u'Michael Ironside']" +7.5,Pi,R,Drama,84,"[u'Sean Gullette', u'Mark Margolis', u'Ben Shenkman']" +7.5,The Devil's Backbone,R,Drama,106,"[u'Marisa Paredes', u'Eduardo Noriega', u'Federico Luppi']" +7.5,The Aviator,PG-13,Biography,170,"[u'Leonardo DiCaprio', u'Cate Blanchett', u'Kate Beckinsale']" +7.5,Devil's Advocate,R,Drama,144,"[u'Keanu Reeves', u'Al Pacino', u'Charlize Theron']" +7.5,"The Adventures of Priscilla, Queen of the Desert",R,Comedy,104,"[u'Hugo Weaving', u'Guy Pearce', u'Terence Stamp']" +7.5,Harry Potter and the Half-Blood Prince,PG,Adventure,153,"[u'Daniel Radcliffe', u'Emma Watson', u'Rupert Grint']" +7.5,Fruitvale Station,R,Biography,85,"[u'Michael B. Jordan', u'Melonie Diaz', u'Octavia Spencer']" +7.5,In the Bedroom,R,Crime,130,"[u'Tom Wilkinson', u'Sissy Spacek', u'Nick Stahl']" +7.5,Source Code,PG-13,Mystery,93,"[u'Jake Gyllenhaal', u'Michelle Monaghan', u'Vera Farmiga']" +7.5,Biutiful,R,Drama,148,"[u'Javier Bardem', u'Maricel \xc1lvarez', u'Hanaa Bouchaib']" +7.5,From Russia with Love,APPROVED,Action,115,"[u'Sean Connery', u'Robert Shaw', u'Lotte Lenya']" +7.5,Calvary,R,Drama,102,"[u'Brendan Gleeson', u""Chris O'Dowd"", u'Kelly Reilly']" +7.5,The Mission,PG,Adventure,125,"[u'Robert De Niro', u'Jeremy Irons', u'Ray McAnally']" +7.5,In the Loop,NOT RATED,Comedy,106,"[u'Tom Hollander', u'Peter Capaldi', u'James Gandolfini']" +7.5,The Three Burials of Melquiades Estrada,R,Adventure,121,"[u'Tommy Lee Jones', u'Barry Pepper', u'Dwight Yoakam']" +7.5,Babel,R,Drama,143,"[u'Brad Pitt', u'Cate Blanchett', u'Gael Garc\xeda Bernal']" +7.5,Frenzy,R,Thriller,116,"[u'Jon Finch', u'Barry Foster', u'Alec McCowen']" +7.5,Heavenly Creatures,R,Biography,99,"[u'Melanie Lynskey', u'Kate Winslet', u'Sarah Peirse']" +7.5,Sweeney Todd: The Demon Barber of Fleet Street,R,Drama,116,"[u'Johnny Depp', u'Helena Bonham Carter', u'Alan Rickman']" +7.5,Dracula,R,Horror,128,"[u'Gary Oldman', u'Winona Ryder', u'Anthony Hopkins']" +7.5,Looper,R,Action,119,"[u'Joseph Gordon-Levitt', u'Bruce Willis', u'Emily Blunt']" +7.5,The Proposition,R,Crime,104,"[u'Ray Winstone', u'Guy Pearce', u'Emily Watson']" +7.5,Bullitt,PG,Action,114,"[u'Steve McQueen', u'Jacqueline Bisset', u'Robert Vaughn']" +7.5,Harry Potter and the Sorcerer's Stone,PG,Adventure,152,"[u'Daniel Radcliffe', u'Rupert Grint', u'Richard Harris']" +7.5,2046,R,Drama,129,"[u'Tony Chiu Wai Leung', u'Ziyi Zhang', u'Faye Wong']" +7.5,Transamerica,R,Adventure,103,"[u'Felicity Huffman', u'Kevin Zegers', u'Fionnula Flanagan']" +7.5,Smoke,R,Comedy,112,"[u'Harvey Keitel', u'William Hurt', u'Giancarlo Esposito']" +7.5,Suspiria,X,Horror,92,"[u'Jessica Harper', u'Stefania Casini', u'Flavio Bucci']" +7.5,The Judge,R,Drama,141,"[u'Robert Downey Jr.', u'Robert Duvall', u'Vera Farmiga']" +7.5,Bad Education,NC-17,Crime,106,"[u'Gael Garc\xeda Bernal', u'Fele Mart\xednez', u'Javier C\xe1mara']" +7.5,Up in the Air,R,Drama,109,"[u'George Clooney', u'Vera Farmiga', u'Anna Kendrick']" +7.5,Begin Again,R,Drama,104,"[u'Keira Knightley', u'Mark Ruffalo', u'Adam Levine']" +7.5,Running Scared,R,Action,122,"[u'Paul Walker', u'Cameron Bright', u'Chazz Palminteri']" +7.5,Ghost World,R,Comedy,111,"[u'Steve Buscemi', u'Thora Birch', u'Scarlett Johansson']" +7.5,Witness,R,Crime,112,"[u'Harrison Ford', u'Kelly McGillis', u'Lukas Haas']" +7.5,Trading Places,R,Comedy,116,"[u'Eddie Murphy', u'Dan Aykroyd', u'Ralph Bellamy']" +7.5,Mud,PG-13,Drama,130,"[u'Matthew McConaughey', u'Tye Sheridan', u'Jacob Lofland']" +7.5,Across the Universe,PG-13,Drama,133,"[u'Evan Rachel Wood', u'Jim Sturgess', u'Joe Anderson']" +7.5,Les Miserables,PG-13,Crime,134,"[u'Liam Neeson', u'Geoffrey Rush', u'Uma Thurman']" +7.5,Notes on a Scandal,R,Drama,92,"[u'Cate Blanchett', u'Judi Dench', u'Andrew Simpson']" +7.5,Inside Llewyn Davis,R,Drama,104,"[u'Oscar Isaac', u'Carey Mulligan', u'John Goodman']" +7.5,Brick,R,Crime,110,"[u'Joseph Gordon-Levitt', u'Lukas Haas', u'Emilie de Ravin']" +7.5,Clerks II,R,Comedy,97,"[u""Brian O'Halloran"", u'Jeff Anderson', u'Rosario Dawson']" +7.5,Say Anything...,PG-13,Comedy,100,"[u'John Cusack', u'Ione Skye', u'John Mahoney']" +7.4,Man on the Moon,R,Biography,118,"[u'Jim Carrey', u'Danny DeVito', u'Gerry Becker']" +7.4,Mean Streets,R,Crime,112,"[u'Robert De Niro', u'Harvey Keitel', u'David Proval']" +7.4,Harry Potter and the Order of the Phoenix,PG-13,Adventure,138,"[u'Daniel Radcliffe', u'Emma Watson', u'Rupert Grint']" +7.4,Beetlejuice,PG,Comedy,92,"[u'Alec Baldwin', u'Geena Davis', u'Michael Keaton']" +7.4,"Crazy, Stupid, Love.",PG-13,Comedy,118,"[u'Steve Carell', u'Ryan Gosling', u'Julianne Moore']" +7.4,Excalibur,R,Adventure,140,"[u'Nigel Terry', u'Helen Mirren', u'Nicholas Clay']" +7.4,True Grit,,Adventure,128,"[u'John Wayne', u'Kim Darby', u'Glen Campbell']" +7.4,Labyrinth,PG,Adventure,101,"[u'David Bowie', u'Jennifer Connelly', u'Toby Froud']" +7.4,Alice in Wonderland,G,Animation,75,"[u'Kathryn Beaumont', u'Ed Wynn', u'Richard Haydn']" +7.4,Predestination,R,Drama,97,"[u'Ethan Hawke', u'Sarah Snook', u'Noah Taylor']" +7.4,Much Ado About Nothing,PG-13,Comedy,111,"[u'Kenneth Branagh', u'Emma Thompson', u'Keanu Reeves']" +7.4,A Bridge Too Far,PG,Drama,175,"[u'Sean Connery', u""Ryan O'Neal"", u'Michael Caine']" +7.4,Raising Arizona,PG-13,Comedy,94,"[u'Nicolas Cage', u'Holly Hunter', u'Trey Wilson']" +7.4,The Bucket List,PG-13,Adventure,97,"[u'Jack Nicholson', u'Morgan Freeman', u'Sean Hayes']" +7.4,Terms of Endearment,R,Comedy,132,"[u'Shirley MacLaine', u'Debra Winger', u'Jack Nicholson']" +7.4,Take Shelter,R,Drama,120,"[u'Michael Shannon', u'Jessica Chastain', u'Shea Whigham']" +7.4,Far from Heaven,PG-13,Drama,107,"[u'Julianne Moore', u'Dennis Quaid', u'Dennis Haysbert']" +7.4,Eraserhead,UNRATED,Drama,89,"[u'Jack Nance', u'Charlotte Stewart', u'Allen Joseph']" +7.4,Frances Ha,R,Comedy,86,"[u'Greta Gerwig', u'Mickey Sumner', u'Adam Driver']" +7.4,Home Alone,PG,Comedy,103,"[u'Macaulay Culkin', u'Joe Pesci', u'Daniel Stern']" +7.4,Bound,R,Crime,108,"[u'Jennifer Tilly', u'Gina Gershon', u'Joe Pantoliano']" +7.4,Sleepy Hollow,R,Drama,105,"[u'Johnny Depp', u'Christina Ricci', u'Miranda Richardson']" +7.4,Pirate Radio,R,Comedy,117,"[u'Philip Seymour Hoffman', u'Bill Nighy', u'Nick Frost']" +7.4,The NeverEnding Story,PG,Adventure,102,"[u'Noah Hathaway', u'Barret Oliver', u'Tami Stronach']" +7.4,X-Men,PG-13,Action,104,"[u'Patrick Stewart', u'Hugh Jackman', u'Ian McKellen']" +7.4,Zero Dark Thirty,R,Drama,157,"[u'Jessica Chastain', u'Joel Edgerton', u'Chris Pratt']" +7.4,Manhattan Murder Mystery,PG,Comedy,104,"[u'Woody Allen', u'Diane Keaton', u'Jerry Adler']" +7.4,National Lampoon's Vacation,R,Comedy,98,"[u'Chevy Chase', u""Beverly D'Angelo"", u'Imogene Coca']" +7.4,My Sister's Keeper,PG-13,Drama,109,"[u'Cameron Diaz', u'Abigail Breslin', u'Alec Baldwin']" +7.4,Deconstructing Harry,R,Comedy,96,"[u'Woody Allen', u'Judy Davis', u'Julia Louis-Dreyfus']" +7.4,The Way Way Back,PG-13,Comedy,103,"[u'Steve Carell', u'Toni Collette', u'Allison Janney']" +7.4,Capote,R,Biography,114,"[u'Philip Seymour Hoffman', u'Clifton Collins Jr.', u'Catherine Keener']" +7.4,Driving Miss Daisy,PG,Comedy,99,"[u'Morgan Freeman', u'Jessica Tandy', u'Dan Aykroyd']" +7.4,La Femme Nikita,R,Action,118,"[u'Anne Parillaud', u'Marc Duret', u'Patrick Fontana']" +7.4,Lincoln,PG-13,Biography,150,"[u'Daniel Day-Lewis', u'Sally Field', u'David Strathairn']" +7.4,Limitless,PG-13,Mystery,105,"[u'Bradley Cooper', u'Anna Friel', u'Abbie Cornish']" +7.4,The Simpsons Movie,PG-13,Animation,87,"[u'Dan Castellaneta', u'Julie Kavner', u'Nancy Cartwright']" +7.4,The Rock,R,Action,136,"[u'Sean Connery', u'Nicolas Cage', u'Ed Harris']" +7.4,The English Patient,R,Drama,162,"[u'Ralph Fiennes', u'Juliette Binoche', u'Willem Dafoe']" +7.4,Law Abiding Citizen,R,Crime,109,"[u'Gerard Butler', u'Jamie Foxx', u'Leslie Bibb']" +7.4,Wonder Boys,R,Drama,107,"[u'Michael Douglas', u'Tobey Maguire', u'Frances McDormand']" +7.4,Death at a Funeral,R,Comedy,90,"[u'Matthew Macfadyen', u'Peter Dinklage', u'Ewen Bremner']" +7.4,Blue Valentine,NC-17,Drama,112,"[u'Ryan Gosling', u'Michelle Williams', u'John Doman']" +7.4,The Cider House Rules,PG-13,Drama,126,"[u'Tobey Maguire', u'Charlize Theron', u'Michael Caine']" +7.4,Tootsie,PG,Comedy,116,"[u'Dustin Hoffman', u'Jessica Lange', u'Teri Garr']" +7.4,Back to the Future Part III,PG,Adventure,118,"[u'Michael J. Fox', u'Christopher Lloyd', u'Mary Steenburgen']" +7.4,Master and Commander: The Far Side of the World,PG-13,Action,138,"[u'Russell Crowe', u'Paul Bettany', u'Billy Boyd']" +7.4,Poltergeist,PG,Horror,114,"[u'JoBeth Williams', u""Heather O'Rourke"", u'Craig T. Nelson']" +7.4,Wall Street,R,Crime,126,"[u'Charlie Sheen', u'Michael Douglas', u'Tamara Tunie']" diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks.csv b/appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks.csv new file mode 100644 index 0000000..8ce956e --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks.csv @@ -0,0 +1,10 @@ +Date,Close,Volume,Symbol +2016-10-03,31.50,14070500,CSCO +2016-10-03,112.52,21701800,AAPL +2016-10-03,57.42,19189500,MSFT +2016-10-04,113.00,29736800,AAPL +2016-10-04,57.24,20085900,MSFT +2016-10-04,31.35,18460400,CSCO +2016-10-05,57.64,16726400,MSFT +2016-10-05,31.59,11808600,CSCO +2016-10-05,113.05,21453100,AAPL diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks1.csv b/appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks1.csv new file mode 100644 index 0000000..9d285a5 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks1.csv @@ -0,0 +1,4 @@ +Date,Close,Volume,Symbol +2016-10-03,31.50,14070500,CSCO +2016-10-03,112.52,21701800,AAPL +2016-10-03,57.42,19189500,MSFT diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks2.csv b/appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks2.csv new file mode 100644 index 0000000..21fa4c1 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks2.csv @@ -0,0 +1,4 @@ +Date,Close,Volume,Symbol +2016-10-04,113.00,29736800,AAPL +2016-10-04,57.24,20085900,MSFT +2016-10-04,31.35,18460400,CSCO diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks3.csv b/appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks3.csv new file mode 100644 index 0000000..34b58fb --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/stocks3.csv @@ -0,0 +1,4 @@ +Date,Close,Volume,Symbol +2016-10-05,57.64,16726400,MSFT +2016-10-05,31.59,11808600,CSCO +2016-10-05,113.05,21453100,AAPL diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/titanic_test.csv b/appkits/qpyapp/src/qpynotes/topics/pandas/data/titanic_test.csv new file mode 100644 index 0000000..2ed7ef4 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/titanic_test.csv @@ -0,0 +1,419 @@ +PassengerId,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked +892,3,"Kelly, Mr. James",male,34.5,0,0,330911,7.8292,,Q +893,3,"Wilkes, Mrs. James (Ellen Needs)",female,47,1,0,363272,7,,S +894,2,"Myles, Mr. Thomas Francis",male,62,0,0,240276,9.6875,,Q +895,3,"Wirz, Mr. Albert",male,27,0,0,315154,8.6625,,S +896,3,"Hirvonen, Mrs. Alexander (Helga E Lindqvist)",female,22,1,1,3101298,12.2875,,S +897,3,"Svensson, Mr. Johan Cervin",male,14,0,0,7538,9.225,,S +898,3,"Connolly, Miss. Kate",female,30,0,0,330972,7.6292,,Q +899,2,"Caldwell, Mr. Albert Francis",male,26,1,1,248738,29,,S +900,3,"Abrahim, Mrs. Joseph (Sophie Halaut Easu)",female,18,0,0,2657,7.2292,,C +901,3,"Davies, Mr. John Samuel",male,21,2,0,A/4 48871,24.15,,S +902,3,"Ilieff, Mr. Ylio",male,,0,0,349220,7.8958,,S +903,1,"Jones, Mr. Charles Cresson",male,46,0,0,694,26,,S +904,1,"Snyder, Mrs. John Pillsbury (Nelle Stevenson)",female,23,1,0,21228,82.2667,B45,S +905,2,"Howard, Mr. Benjamin",male,63,1,0,24065,26,,S +906,1,"Chaffee, Mrs. Herbert Fuller (Carrie Constance Toogood)",female,47,1,0,W.E.P. 5734,61.175,E31,S +907,2,"del Carlo, Mrs. Sebastiano (Argenia Genovesi)",female,24,1,0,SC/PARIS 2167,27.7208,,C +908,2,"Keane, Mr. Daniel",male,35,0,0,233734,12.35,,Q +909,3,"Assaf, Mr. Gerios",male,21,0,0,2692,7.225,,C +910,3,"Ilmakangas, Miss. Ida Livija",female,27,1,0,STON/O2. 3101270,7.925,,S +911,3,"Assaf Khalil, Mrs. Mariana (Miriam"")""",female,45,0,0,2696,7.225,,C +912,1,"Rothschild, Mr. Martin",male,55,1,0,PC 17603,59.4,,C +913,3,"Olsen, Master. Artur Karl",male,9,0,1,C 17368,3.1708,,S +914,1,"Flegenheim, Mrs. Alfred (Antoinette)",female,,0,0,PC 17598,31.6833,,S +915,1,"Williams, Mr. Richard Norris II",male,21,0,1,PC 17597,61.3792,,C +916,1,"Ryerson, Mrs. Arthur Larned (Emily Maria Borie)",female,48,1,3,PC 17608,262.375,B57 B59 B63 B66,C +917,3,"Robins, Mr. Alexander A",male,50,1,0,A/5. 3337,14.5,,S +918,1,"Ostby, Miss. Helene Ragnhild",female,22,0,1,113509,61.9792,B36,C +919,3,"Daher, Mr. Shedid",male,22.5,0,0,2698,7.225,,C +920,1,"Brady, Mr. John Bertram",male,41,0,0,113054,30.5,A21,S +921,3,"Samaan, Mr. Elias",male,,2,0,2662,21.6792,,C +922,2,"Louch, Mr. Charles Alexander",male,50,1,0,SC/AH 3085,26,,S +923,2,"Jefferys, Mr. Clifford Thomas",male,24,2,0,C.A. 31029,31.5,,S +924,3,"Dean, Mrs. Bertram (Eva Georgetta Light)",female,33,1,2,C.A. 2315,20.575,,S +925,3,"Johnston, Mrs. Andrew G (Elizabeth Lily"" Watson)""",female,,1,2,W./C. 6607,23.45,,S +926,1,"Mock, Mr. Philipp Edmund",male,30,1,0,13236,57.75,C78,C +927,3,"Katavelas, Mr. Vassilios (Catavelas Vassilios"")""",male,18.5,0,0,2682,7.2292,,C +928,3,"Roth, Miss. Sarah A",female,,0,0,342712,8.05,,S +929,3,"Cacic, Miss. Manda",female,21,0,0,315087,8.6625,,S +930,3,"Sap, Mr. Julius",male,25,0,0,345768,9.5,,S +931,3,"Hee, Mr. Ling",male,,0,0,1601,56.4958,,S +932,3,"Karun, Mr. Franz",male,39,0,1,349256,13.4167,,C +933,1,"Franklin, Mr. Thomas Parham",male,,0,0,113778,26.55,D34,S +934,3,"Goldsmith, Mr. Nathan",male,41,0,0,SOTON/O.Q. 3101263,7.85,,S +935,2,"Corbett, Mrs. Walter H (Irene Colvin)",female,30,0,0,237249,13,,S +936,1,"Kimball, Mrs. Edwin Nelson Jr (Gertrude Parsons)",female,45,1,0,11753,52.5542,D19,S +937,3,"Peltomaki, Mr. Nikolai Johannes",male,25,0,0,STON/O 2. 3101291,7.925,,S +938,1,"Chevre, Mr. Paul Romaine",male,45,0,0,PC 17594,29.7,A9,C +939,3,"Shaughnessy, Mr. Patrick",male,,0,0,370374,7.75,,Q +940,1,"Bucknell, Mrs. William Robert (Emma Eliza Ward)",female,60,0,0,11813,76.2917,D15,C +941,3,"Coutts, Mrs. William (Winnie Minnie"" Treanor)""",female,36,0,2,C.A. 37671,15.9,,S +942,1,"Smith, Mr. Lucien Philip",male,24,1,0,13695,60,C31,S +943,2,"Pulbaum, Mr. Franz",male,27,0,0,SC/PARIS 2168,15.0333,,C +944,2,"Hocking, Miss. Ellen Nellie""""",female,20,2,1,29105,23,,S +945,1,"Fortune, Miss. Ethel Flora",female,28,3,2,19950,263,C23 C25 C27,S +946,2,"Mangiavacchi, Mr. Serafino Emilio",male,,0,0,SC/A.3 2861,15.5792,,C +947,3,"Rice, Master. Albert",male,10,4,1,382652,29.125,,Q +948,3,"Cor, Mr. Bartol",male,35,0,0,349230,7.8958,,S +949,3,"Abelseth, Mr. Olaus Jorgensen",male,25,0,0,348122,7.65,F G63,S +950,3,"Davison, Mr. Thomas Henry",male,,1,0,386525,16.1,,S +951,1,"Chaudanson, Miss. Victorine",female,36,0,0,PC 17608,262.375,B61,C +952,3,"Dika, Mr. Mirko",male,17,0,0,349232,7.8958,,S +953,2,"McCrae, Mr. Arthur Gordon",male,32,0,0,237216,13.5,,S +954,3,"Bjorklund, Mr. Ernst Herbert",male,18,0,0,347090,7.75,,S +955,3,"Bradley, Miss. Bridget Delia",female,22,0,0,334914,7.725,,Q +956,1,"Ryerson, Master. John Borie",male,13,2,2,PC 17608,262.375,B57 B59 B63 B66,C +957,2,"Corey, Mrs. Percy C (Mary Phyllis Elizabeth Miller)",female,,0,0,F.C.C. 13534,21,,S +958,3,"Burns, Miss. Mary Delia",female,18,0,0,330963,7.8792,,Q +959,1,"Moore, Mr. Clarence Bloomfield",male,47,0,0,113796,42.4,,S +960,1,"Tucker, Mr. Gilbert Milligan Jr",male,31,0,0,2543,28.5375,C53,C +961,1,"Fortune, Mrs. Mark (Mary McDougald)",female,60,1,4,19950,263,C23 C25 C27,S +962,3,"Mulvihill, Miss. Bertha E",female,24,0,0,382653,7.75,,Q +963,3,"Minkoff, Mr. Lazar",male,21,0,0,349211,7.8958,,S +964,3,"Nieminen, Miss. Manta Josefina",female,29,0,0,3101297,7.925,,S +965,1,"Ovies y Rodriguez, Mr. Servando",male,28.5,0,0,PC 17562,27.7208,D43,C +966,1,"Geiger, Miss. Amalie",female,35,0,0,113503,211.5,C130,C +967,1,"Keeping, Mr. Edwin",male,32.5,0,0,113503,211.5,C132,C +968,3,"Miles, Mr. Frank",male,,0,0,359306,8.05,,S +969,1,"Cornell, Mrs. Robert Clifford (Malvina Helen Lamson)",female,55,2,0,11770,25.7,C101,S +970,2,"Aldworth, Mr. Charles Augustus",male,30,0,0,248744,13,,S +971,3,"Doyle, Miss. Elizabeth",female,24,0,0,368702,7.75,,Q +972,3,"Boulos, Master. Akar",male,6,1,1,2678,15.2458,,C +973,1,"Straus, Mr. Isidor",male,67,1,0,PC 17483,221.7792,C55 C57,S +974,1,"Case, Mr. Howard Brown",male,49,0,0,19924,26,,S +975,3,"Demetri, Mr. Marinko",male,,0,0,349238,7.8958,,S +976,2,"Lamb, Mr. John Joseph",male,,0,0,240261,10.7083,,Q +977,3,"Khalil, Mr. Betros",male,,1,0,2660,14.4542,,C +978,3,"Barry, Miss. Julia",female,27,0,0,330844,7.8792,,Q +979,3,"Badman, Miss. Emily Louisa",female,18,0,0,A/4 31416,8.05,,S +980,3,"O'Donoghue, Ms. Bridget",female,,0,0,364856,7.75,,Q +981,2,"Wells, Master. Ralph Lester",male,2,1,1,29103,23,,S +982,3,"Dyker, Mrs. Adolf Fredrik (Anna Elisabeth Judith Andersson)",female,22,1,0,347072,13.9,,S +983,3,"Pedersen, Mr. Olaf",male,,0,0,345498,7.775,,S +984,1,"Davidson, Mrs. Thornton (Orian Hays)",female,27,1,2,F.C. 12750,52,B71,S +985,3,"Guest, Mr. Robert",male,,0,0,376563,8.05,,S +986,1,"Birnbaum, Mr. Jakob",male,25,0,0,13905,26,,C +987,3,"Tenglin, Mr. Gunnar Isidor",male,25,0,0,350033,7.7958,,S +988,1,"Cavendish, Mrs. Tyrell William (Julia Florence Siegel)",female,76,1,0,19877,78.85,C46,S +989,3,"Makinen, Mr. Kalle Edvard",male,29,0,0,STON/O 2. 3101268,7.925,,S +990,3,"Braf, Miss. Elin Ester Maria",female,20,0,0,347471,7.8542,,S +991,3,"Nancarrow, Mr. William Henry",male,33,0,0,A./5. 3338,8.05,,S +992,1,"Stengel, Mrs. Charles Emil Henry (Annie May Morris)",female,43,1,0,11778,55.4417,C116,C +993,2,"Weisz, Mr. Leopold",male,27,1,0,228414,26,,S +994,3,"Foley, Mr. William",male,,0,0,365235,7.75,,Q +995,3,"Johansson Palmquist, Mr. Oskar Leander",male,26,0,0,347070,7.775,,S +996,3,"Thomas, Mrs. Alexander (Thamine Thelma"")""",female,16,1,1,2625,8.5167,,C +997,3,"Holthen, Mr. Johan Martin",male,28,0,0,C 4001,22.525,,S +998,3,"Buckley, Mr. Daniel",male,21,0,0,330920,7.8208,,Q +999,3,"Ryan, Mr. Edward",male,,0,0,383162,7.75,,Q +1000,3,"Willer, Mr. Aaron (Abi Weller"")""",male,,0,0,3410,8.7125,,S +1001,2,"Swane, Mr. George",male,18.5,0,0,248734,13,F,S +1002,2,"Stanton, Mr. Samuel Ward",male,41,0,0,237734,15.0458,,C +1003,3,"Shine, Miss. Ellen Natalia",female,,0,0,330968,7.7792,,Q +1004,1,"Evans, Miss. Edith Corse",female,36,0,0,PC 17531,31.6792,A29,C +1005,3,"Buckley, Miss. Katherine",female,18.5,0,0,329944,7.2833,,Q +1006,1,"Straus, Mrs. Isidor (Rosalie Ida Blun)",female,63,1,0,PC 17483,221.7792,C55 C57,S +1007,3,"Chronopoulos, Mr. Demetrios",male,18,1,0,2680,14.4542,,C +1008,3,"Thomas, Mr. John",male,,0,0,2681,6.4375,,C +1009,3,"Sandstrom, Miss. Beatrice Irene",female,1,1,1,PP 9549,16.7,G6,S +1010,1,"Beattie, Mr. Thomson",male,36,0,0,13050,75.2417,C6,C +1011,2,"Chapman, Mrs. John Henry (Sara Elizabeth Lawry)",female,29,1,0,SC/AH 29037,26,,S +1012,2,"Watt, Miss. Bertha J",female,12,0,0,C.A. 33595,15.75,,S +1013,3,"Kiernan, Mr. John",male,,1,0,367227,7.75,,Q +1014,1,"Schabert, Mrs. Paul (Emma Mock)",female,35,1,0,13236,57.75,C28,C +1015,3,"Carver, Mr. Alfred John",male,28,0,0,392095,7.25,,S +1016,3,"Kennedy, Mr. John",male,,0,0,368783,7.75,,Q +1017,3,"Cribb, Miss. Laura Alice",female,17,0,1,371362,16.1,,S +1018,3,"Brobeck, Mr. Karl Rudolf",male,22,0,0,350045,7.7958,,S +1019,3,"McCoy, Miss. Alicia",female,,2,0,367226,23.25,,Q +1020,2,"Bowenur, Mr. Solomon",male,42,0,0,211535,13,,S +1021,3,"Petersen, Mr. Marius",male,24,0,0,342441,8.05,,S +1022,3,"Spinner, Mr. Henry John",male,32,0,0,STON/OQ. 369943,8.05,,S +1023,1,"Gracie, Col. Archibald IV",male,53,0,0,113780,28.5,C51,C +1024,3,"Lefebre, Mrs. Frank (Frances)",female,,0,4,4133,25.4667,,S +1025,3,"Thomas, Mr. Charles P",male,,1,0,2621,6.4375,,C +1026,3,"Dintcheff, Mr. Valtcho",male,43,0,0,349226,7.8958,,S +1027,3,"Carlsson, Mr. Carl Robert",male,24,0,0,350409,7.8542,,S +1028,3,"Zakarian, Mr. Mapriededer",male,26.5,0,0,2656,7.225,,C +1029,2,"Schmidt, Mr. August",male,26,0,0,248659,13,,S +1030,3,"Drapkin, Miss. Jennie",female,23,0,0,SOTON/OQ 392083,8.05,,S +1031,3,"Goodwin, Mr. Charles Frederick",male,40,1,6,CA 2144,46.9,,S +1032,3,"Goodwin, Miss. Jessie Allis",female,10,5,2,CA 2144,46.9,,S +1033,1,"Daniels, Miss. Sarah",female,33,0,0,113781,151.55,,S +1034,1,"Ryerson, Mr. Arthur Larned",male,61,1,3,PC 17608,262.375,B57 B59 B63 B66,C +1035,2,"Beauchamp, Mr. Henry James",male,28,0,0,244358,26,,S +1036,1,"Lindeberg-Lind, Mr. Erik Gustaf (Mr Edward Lingrey"")""",male,42,0,0,17475,26.55,,S +1037,3,"Vander Planke, Mr. Julius",male,31,3,0,345763,18,,S +1038,1,"Hilliard, Mr. Herbert Henry",male,,0,0,17463,51.8625,E46,S +1039,3,"Davies, Mr. Evan",male,22,0,0,SC/A4 23568,8.05,,S +1040,1,"Crafton, Mr. John Bertram",male,,0,0,113791,26.55,,S +1041,2,"Lahtinen, Rev. William",male,30,1,1,250651,26,,S +1042,1,"Earnshaw, Mrs. Boulton (Olive Potter)",female,23,0,1,11767,83.1583,C54,C +1043,3,"Matinoff, Mr. Nicola",male,,0,0,349255,7.8958,,C +1044,3,"Storey, Mr. Thomas",male,60.5,0,0,3701,,,S +1045,3,"Klasen, Mrs. (Hulda Kristina Eugenia Lofqvist)",female,36,0,2,350405,12.1833,,S +1046,3,"Asplund, Master. Filip Oscar",male,13,4,2,347077,31.3875,,S +1047,3,"Duquemin, Mr. Joseph",male,24,0,0,S.O./P.P. 752,7.55,,S +1048,1,"Bird, Miss. Ellen",female,29,0,0,PC 17483,221.7792,C97,S +1049,3,"Lundin, Miss. Olga Elida",female,23,0,0,347469,7.8542,,S +1050,1,"Borebank, Mr. John James",male,42,0,0,110489,26.55,D22,S +1051,3,"Peacock, Mrs. Benjamin (Edith Nile)",female,26,0,2,SOTON/O.Q. 3101315,13.775,,S +1052,3,"Smyth, Miss. Julia",female,,0,0,335432,7.7333,,Q +1053,3,"Touma, Master. Georges Youssef",male,7,1,1,2650,15.2458,,C +1054,2,"Wright, Miss. Marion",female,26,0,0,220844,13.5,,S +1055,3,"Pearce, Mr. Ernest",male,,0,0,343271,7,,S +1056,2,"Peruschitz, Rev. Joseph Maria",male,41,0,0,237393,13,,S +1057,3,"Kink-Heilmann, Mrs. Anton (Luise Heilmann)",female,26,1,1,315153,22.025,,S +1058,1,"Brandeis, Mr. Emil",male,48,0,0,PC 17591,50.4958,B10,C +1059,3,"Ford, Mr. Edward Watson",male,18,2,2,W./C. 6608,34.375,,S +1060,1,"Cassebeer, Mrs. Henry Arthur Jr (Eleanor Genevieve Fosdick)",female,,0,0,17770,27.7208,,C +1061,3,"Hellstrom, Miss. Hilda Maria",female,22,0,0,7548,8.9625,,S +1062,3,"Lithman, Mr. Simon",male,,0,0,S.O./P.P. 251,7.55,,S +1063,3,"Zakarian, Mr. Ortin",male,27,0,0,2670,7.225,,C +1064,3,"Dyker, Mr. Adolf Fredrik",male,23,1,0,347072,13.9,,S +1065,3,"Torfa, Mr. Assad",male,,0,0,2673,7.2292,,C +1066,3,"Asplund, Mr. Carl Oscar Vilhelm Gustafsson",male,40,1,5,347077,31.3875,,S +1067,2,"Brown, Miss. Edith Eileen",female,15,0,2,29750,39,,S +1068,2,"Sincock, Miss. Maude",female,20,0,0,C.A. 33112,36.75,,S +1069,1,"Stengel, Mr. Charles Emil Henry",male,54,1,0,11778,55.4417,C116,C +1070,2,"Becker, Mrs. Allen Oliver (Nellie E Baumgardner)",female,36,0,3,230136,39,F4,S +1071,1,"Compton, Mrs. Alexander Taylor (Mary Eliza Ingersoll)",female,64,0,2,PC 17756,83.1583,E45,C +1072,2,"McCrie, Mr. James Matthew",male,30,0,0,233478,13,,S +1073,1,"Compton, Mr. Alexander Taylor Jr",male,37,1,1,PC 17756,83.1583,E52,C +1074,1,"Marvin, Mrs. Daniel Warner (Mary Graham Carmichael Farquarson)",female,18,1,0,113773,53.1,D30,S +1075,3,"Lane, Mr. Patrick",male,,0,0,7935,7.75,,Q +1076,1,"Douglas, Mrs. Frederick Charles (Mary Helene Baxter)",female,27,1,1,PC 17558,247.5208,B58 B60,C +1077,2,"Maybery, Mr. Frank Hubert",male,40,0,0,239059,16,,S +1078,2,"Phillips, Miss. Alice Frances Louisa",female,21,0,1,S.O./P.P. 2,21,,S +1079,3,"Davies, Mr. Joseph",male,17,2,0,A/4 48873,8.05,,S +1080,3,"Sage, Miss. Ada",female,,8,2,CA. 2343,69.55,,S +1081,2,"Veal, Mr. James",male,40,0,0,28221,13,,S +1082,2,"Angle, Mr. William A",male,34,1,0,226875,26,,S +1083,1,"Salomon, Mr. Abraham L",male,,0,0,111163,26,,S +1084,3,"van Billiard, Master. Walter John",male,11.5,1,1,A/5. 851,14.5,,S +1085,2,"Lingane, Mr. John",male,61,0,0,235509,12.35,,Q +1086,2,"Drew, Master. Marshall Brines",male,8,0,2,28220,32.5,,S +1087,3,"Karlsson, Mr. Julius Konrad Eugen",male,33,0,0,347465,7.8542,,S +1088,1,"Spedden, Master. Robert Douglas",male,6,0,2,16966,134.5,E34,C +1089,3,"Nilsson, Miss. Berta Olivia",female,18,0,0,347066,7.775,,S +1090,2,"Baimbrigge, Mr. Charles Robert",male,23,0,0,C.A. 31030,10.5,,S +1091,3,"Rasmussen, Mrs. (Lena Jacobsen Solvang)",female,,0,0,65305,8.1125,,S +1092,3,"Murphy, Miss. Nora",female,,0,0,36568,15.5,,Q +1093,3,"Danbom, Master. Gilbert Sigvard Emanuel",male,0.33,0,2,347080,14.4,,S +1094,1,"Astor, Col. John Jacob",male,47,1,0,PC 17757,227.525,C62 C64,C +1095,2,"Quick, Miss. Winifred Vera",female,8,1,1,26360,26,,S +1096,2,"Andrew, Mr. Frank Thomas",male,25,0,0,C.A. 34050,10.5,,S +1097,1,"Omont, Mr. Alfred Fernand",male,,0,0,F.C. 12998,25.7417,,C +1098,3,"McGowan, Miss. Katherine",female,35,0,0,9232,7.75,,Q +1099,2,"Collett, Mr. Sidney C Stuart",male,24,0,0,28034,10.5,,S +1100,1,"Rosenbaum, Miss. Edith Louise",female,33,0,0,PC 17613,27.7208,A11,C +1101,3,"Delalic, Mr. Redjo",male,25,0,0,349250,7.8958,,S +1102,3,"Andersen, Mr. Albert Karvin",male,32,0,0,C 4001,22.525,,S +1103,3,"Finoli, Mr. Luigi",male,,0,0,SOTON/O.Q. 3101308,7.05,,S +1104,2,"Deacon, Mr. Percy William",male,17,0,0,S.O.C. 14879,73.5,,S +1105,2,"Howard, Mrs. Benjamin (Ellen Truelove Arman)",female,60,1,0,24065,26,,S +1106,3,"Andersson, Miss. Ida Augusta Margareta",female,38,4,2,347091,7.775,,S +1107,1,"Head, Mr. Christopher",male,42,0,0,113038,42.5,B11,S +1108,3,"Mahon, Miss. Bridget Delia",female,,0,0,330924,7.8792,,Q +1109,1,"Wick, Mr. George Dennick",male,57,1,1,36928,164.8667,,S +1110,1,"Widener, Mrs. George Dunton (Eleanor Elkins)",female,50,1,1,113503,211.5,C80,C +1111,3,"Thomson, Mr. Alexander Morrison",male,,0,0,32302,8.05,,S +1112,2,"Duran y More, Miss. Florentina",female,30,1,0,SC/PARIS 2148,13.8583,,C +1113,3,"Reynolds, Mr. Harold J",male,21,0,0,342684,8.05,,S +1114,2,"Cook, Mrs. (Selena Rogers)",female,22,0,0,W./C. 14266,10.5,F33,S +1115,3,"Karlsson, Mr. Einar Gervasius",male,21,0,0,350053,7.7958,,S +1116,1,"Candee, Mrs. Edward (Helen Churchill Hungerford)",female,53,0,0,PC 17606,27.4458,,C +1117,3,"Moubarek, Mrs. George (Omine Amenia"" Alexander)""",female,,0,2,2661,15.2458,,C +1118,3,"Asplund, Mr. Johan Charles",male,23,0,0,350054,7.7958,,S +1119,3,"McNeill, Miss. Bridget",female,,0,0,370368,7.75,,Q +1120,3,"Everett, Mr. Thomas James",male,40.5,0,0,C.A. 6212,15.1,,S +1121,2,"Hocking, Mr. Samuel James Metcalfe",male,36,0,0,242963,13,,S +1122,2,"Sweet, Mr. George Frederick",male,14,0,0,220845,65,,S +1123,1,"Willard, Miss. Constance",female,21,0,0,113795,26.55,,S +1124,3,"Wiklund, Mr. Karl Johan",male,21,1,0,3101266,6.4958,,S +1125,3,"Linehan, Mr. Michael",male,,0,0,330971,7.8792,,Q +1126,1,"Cumings, Mr. John Bradley",male,39,1,0,PC 17599,71.2833,C85,C +1127,3,"Vendel, Mr. Olof Edvin",male,20,0,0,350416,7.8542,,S +1128,1,"Warren, Mr. Frank Manley",male,64,1,0,110813,75.25,D37,C +1129,3,"Baccos, Mr. Raffull",male,20,0,0,2679,7.225,,C +1130,2,"Hiltunen, Miss. Marta",female,18,1,1,250650,13,,S +1131,1,"Douglas, Mrs. Walter Donald (Mahala Dutton)",female,48,1,0,PC 17761,106.425,C86,C +1132,1,"Lindstrom, Mrs. Carl Johan (Sigrid Posse)",female,55,0,0,112377,27.7208,,C +1133,2,"Christy, Mrs. (Alice Frances)",female,45,0,2,237789,30,,S +1134,1,"Spedden, Mr. Frederic Oakley",male,45,1,1,16966,134.5,E34,C +1135,3,"Hyman, Mr. Abraham",male,,0,0,3470,7.8875,,S +1136,3,"Johnston, Master. William Arthur Willie""""",male,,1,2,W./C. 6607,23.45,,S +1137,1,"Kenyon, Mr. Frederick R",male,41,1,0,17464,51.8625,D21,S +1138,2,"Karnes, Mrs. J Frank (Claire Bennett)",female,22,0,0,F.C.C. 13534,21,,S +1139,2,"Drew, Mr. James Vivian",male,42,1,1,28220,32.5,,S +1140,2,"Hold, Mrs. Stephen (Annie Margaret Hill)",female,29,1,0,26707,26,,S +1141,3,"Khalil, Mrs. Betros (Zahie Maria"" Elias)""",female,,1,0,2660,14.4542,,C +1142,2,"West, Miss. Barbara J",female,0.92,1,2,C.A. 34651,27.75,,S +1143,3,"Abrahamsson, Mr. Abraham August Johannes",male,20,0,0,SOTON/O2 3101284,7.925,,S +1144,1,"Clark, Mr. Walter Miller",male,27,1,0,13508,136.7792,C89,C +1145,3,"Salander, Mr. Karl Johan",male,24,0,0,7266,9.325,,S +1146,3,"Wenzel, Mr. Linhart",male,32.5,0,0,345775,9.5,,S +1147,3,"MacKay, Mr. George William",male,,0,0,C.A. 42795,7.55,,S +1148,3,"Mahon, Mr. John",male,,0,0,AQ/4 3130,7.75,,Q +1149,3,"Niklasson, Mr. Samuel",male,28,0,0,363611,8.05,,S +1150,2,"Bentham, Miss. Lilian W",female,19,0,0,28404,13,,S +1151,3,"Midtsjo, Mr. Karl Albert",male,21,0,0,345501,7.775,,S +1152,3,"de Messemaeker, Mr. Guillaume Joseph",male,36.5,1,0,345572,17.4,,S +1153,3,"Nilsson, Mr. August Ferdinand",male,21,0,0,350410,7.8542,,S +1154,2,"Wells, Mrs. Arthur Henry (Addie"" Dart Trevaskis)""",female,29,0,2,29103,23,,S +1155,3,"Klasen, Miss. Gertrud Emilia",female,1,1,1,350405,12.1833,,S +1156,2,"Portaluppi, Mr. Emilio Ilario Giuseppe",male,30,0,0,C.A. 34644,12.7375,,C +1157,3,"Lyntakoff, Mr. Stanko",male,,0,0,349235,7.8958,,S +1158,1,"Chisholm, Mr. Roderick Robert Crispin",male,,0,0,112051,0,,S +1159,3,"Warren, Mr. Charles William",male,,0,0,C.A. 49867,7.55,,S +1160,3,"Howard, Miss. May Elizabeth",female,,0,0,A. 2. 39186,8.05,,S +1161,3,"Pokrnic, Mr. Mate",male,17,0,0,315095,8.6625,,S +1162,1,"McCaffry, Mr. Thomas Francis",male,46,0,0,13050,75.2417,C6,C +1163,3,"Fox, Mr. Patrick",male,,0,0,368573,7.75,,Q +1164,1,"Clark, Mrs. Walter Miller (Virginia McDowell)",female,26,1,0,13508,136.7792,C89,C +1165,3,"Lennon, Miss. Mary",female,,1,0,370371,15.5,,Q +1166,3,"Saade, Mr. Jean Nassr",male,,0,0,2676,7.225,,C +1167,2,"Bryhl, Miss. Dagmar Jenny Ingeborg ",female,20,1,0,236853,26,,S +1168,2,"Parker, Mr. Clifford Richard",male,28,0,0,SC 14888,10.5,,S +1169,2,"Faunthorpe, Mr. Harry",male,40,1,0,2926,26,,S +1170,2,"Ware, Mr. John James",male,30,1,0,CA 31352,21,,S +1171,2,"Oxenham, Mr. Percy Thomas",male,22,0,0,W./C. 14260,10.5,,S +1172,3,"Oreskovic, Miss. Jelka",female,23,0,0,315085,8.6625,,S +1173,3,"Peacock, Master. Alfred Edward",male,0.75,1,1,SOTON/O.Q. 3101315,13.775,,S +1174,3,"Fleming, Miss. Honora",female,,0,0,364859,7.75,,Q +1175,3,"Touma, Miss. Maria Youssef",female,9,1,1,2650,15.2458,,C +1176,3,"Rosblom, Miss. Salli Helena",female,2,1,1,370129,20.2125,,S +1177,3,"Dennis, Mr. William",male,36,0,0,A/5 21175,7.25,,S +1178,3,"Franklin, Mr. Charles (Charles Fardon)",male,,0,0,SOTON/O.Q. 3101314,7.25,,S +1179,1,"Snyder, Mr. John Pillsbury",male,24,1,0,21228,82.2667,B45,S +1180,3,"Mardirosian, Mr. Sarkis",male,,0,0,2655,7.2292,F E46,C +1181,3,"Ford, Mr. Arthur",male,,0,0,A/5 1478,8.05,,S +1182,1,"Rheims, Mr. George Alexander Lucien",male,,0,0,PC 17607,39.6,,S +1183,3,"Daly, Miss. Margaret Marcella Maggie""""",female,30,0,0,382650,6.95,,Q +1184,3,"Nasr, Mr. Mustafa",male,,0,0,2652,7.2292,,C +1185,1,"Dodge, Dr. Washington",male,53,1,1,33638,81.8583,A34,S +1186,3,"Wittevrongel, Mr. Camille",male,36,0,0,345771,9.5,,S +1187,3,"Angheloff, Mr. Minko",male,26,0,0,349202,7.8958,,S +1188,2,"Laroche, Miss. Louise",female,1,1,2,SC/Paris 2123,41.5792,,C +1189,3,"Samaan, Mr. Hanna",male,,2,0,2662,21.6792,,C +1190,1,"Loring, Mr. Joseph Holland",male,30,0,0,113801,45.5,,S +1191,3,"Johansson, Mr. Nils",male,29,0,0,347467,7.8542,,S +1192,3,"Olsson, Mr. Oscar Wilhelm",male,32,0,0,347079,7.775,,S +1193,2,"Malachard, Mr. Noel",male,,0,0,237735,15.0458,D,C +1194,2,"Phillips, Mr. Escott Robert",male,43,0,1,S.O./P.P. 2,21,,S +1195,3,"Pokrnic, Mr. Tome",male,24,0,0,315092,8.6625,,S +1196,3,"McCarthy, Miss. Catherine Katie""""",female,,0,0,383123,7.75,,Q +1197,1,"Crosby, Mrs. Edward Gifford (Catherine Elizabeth Halstead)",female,64,1,1,112901,26.55,B26,S +1198,1,"Allison, Mr. Hudson Joshua Creighton",male,30,1,2,113781,151.55,C22 C26,S +1199,3,"Aks, Master. Philip Frank",male,0.83,0,1,392091,9.35,,S +1200,1,"Hays, Mr. Charles Melville",male,55,1,1,12749,93.5,B69,S +1201,3,"Hansen, Mrs. Claus Peter (Jennie L Howard)",female,45,1,0,350026,14.1083,,S +1202,3,"Cacic, Mr. Jego Grga",male,18,0,0,315091,8.6625,,S +1203,3,"Vartanian, Mr. David",male,22,0,0,2658,7.225,,C +1204,3,"Sadowitz, Mr. Harry",male,,0,0,LP 1588,7.575,,S +1205,3,"Carr, Miss. Jeannie",female,37,0,0,368364,7.75,,Q +1206,1,"White, Mrs. John Stuart (Ella Holmes)",female,55,0,0,PC 17760,135.6333,C32,C +1207,3,"Hagardon, Miss. Kate",female,17,0,0,AQ/3. 30631,7.7333,,Q +1208,1,"Spencer, Mr. William Augustus",male,57,1,0,PC 17569,146.5208,B78,C +1209,2,"Rogers, Mr. Reginald Harry",male,19,0,0,28004,10.5,,S +1210,3,"Jonsson, Mr. Nils Hilding",male,27,0,0,350408,7.8542,,S +1211,2,"Jefferys, Mr. Ernest Wilfred",male,22,2,0,C.A. 31029,31.5,,S +1212,3,"Andersson, Mr. Johan Samuel",male,26,0,0,347075,7.775,,S +1213,3,"Krekorian, Mr. Neshan",male,25,0,0,2654,7.2292,F E57,C +1214,2,"Nesson, Mr. Israel",male,26,0,0,244368,13,F2,S +1215,1,"Rowe, Mr. Alfred G",male,33,0,0,113790,26.55,,S +1216,1,"Kreuchen, Miss. Emilie",female,39,0,0,24160,211.3375,,S +1217,3,"Assam, Mr. Ali",male,23,0,0,SOTON/O.Q. 3101309,7.05,,S +1218,2,"Becker, Miss. Ruth Elizabeth",female,12,2,1,230136,39,F4,S +1219,1,"Rosenshine, Mr. George (Mr George Thorne"")""",male,46,0,0,PC 17585,79.2,,C +1220,2,"Clarke, Mr. Charles Valentine",male,29,1,0,2003,26,,S +1221,2,"Enander, Mr. Ingvar",male,21,0,0,236854,13,,S +1222,2,"Davies, Mrs. John Morgan (Elizabeth Agnes Mary White) ",female,48,0,2,C.A. 33112,36.75,,S +1223,1,"Dulles, Mr. William Crothers",male,39,0,0,PC 17580,29.7,A18,C +1224,3,"Thomas, Mr. Tannous",male,,0,0,2684,7.225,,C +1225,3,"Nakid, Mrs. Said (Waika Mary"" Mowad)""",female,19,1,1,2653,15.7417,,C +1226,3,"Cor, Mr. Ivan",male,27,0,0,349229,7.8958,,S +1227,1,"Maguire, Mr. John Edward",male,30,0,0,110469,26,C106,S +1228,2,"de Brito, Mr. Jose Joaquim",male,32,0,0,244360,13,,S +1229,3,"Elias, Mr. Joseph",male,39,0,2,2675,7.2292,,C +1230,2,"Denbury, Mr. Herbert",male,25,0,0,C.A. 31029,31.5,,S +1231,3,"Betros, Master. Seman",male,,0,0,2622,7.2292,,C +1232,2,"Fillbrook, Mr. Joseph Charles",male,18,0,0,C.A. 15185,10.5,,S +1233,3,"Lundstrom, Mr. Thure Edvin",male,32,0,0,350403,7.5792,,S +1234,3,"Sage, Mr. John George",male,,1,9,CA. 2343,69.55,,S +1235,1,"Cardeza, Mrs. James Warburton Martinez (Charlotte Wardle Drake)",female,58,0,1,PC 17755,512.3292,B51 B53 B55,C +1236,3,"van Billiard, Master. James William",male,,1,1,A/5. 851,14.5,,S +1237,3,"Abelseth, Miss. Karen Marie",female,16,0,0,348125,7.65,,S +1238,2,"Botsford, Mr. William Hull",male,26,0,0,237670,13,,S +1239,3,"Whabee, Mrs. George Joseph (Shawneene Abi-Saab)",female,38,0,0,2688,7.2292,,C +1240,2,"Giles, Mr. Ralph",male,24,0,0,248726,13.5,,S +1241,2,"Walcroft, Miss. Nellie",female,31,0,0,F.C.C. 13528,21,,S +1242,1,"Greenfield, Mrs. Leo David (Blanche Strouse)",female,45,0,1,PC 17759,63.3583,D10 D12,C +1243,2,"Stokes, Mr. Philip Joseph",male,25,0,0,F.C.C. 13540,10.5,,S +1244,2,"Dibden, Mr. William",male,18,0,0,S.O.C. 14879,73.5,,S +1245,2,"Herman, Mr. Samuel",male,49,1,2,220845,65,,S +1246,3,"Dean, Miss. Elizabeth Gladys Millvina""""",female,0.17,1,2,C.A. 2315,20.575,,S +1247,1,"Julian, Mr. Henry Forbes",male,50,0,0,113044,26,E60,S +1248,1,"Brown, Mrs. John Murray (Caroline Lane Lamson)",female,59,2,0,11769,51.4792,C101,S +1249,3,"Lockyer, Mr. Edward",male,,0,0,1222,7.8792,,S +1250,3,"O'Keefe, Mr. Patrick",male,,0,0,368402,7.75,,Q +1251,3,"Lindell, Mrs. Edvard Bengtsson (Elin Gerda Persson)",female,30,1,0,349910,15.55,,S +1252,3,"Sage, Master. William Henry",male,14.5,8,2,CA. 2343,69.55,,S +1253,2,"Mallet, Mrs. Albert (Antoinette Magnin)",female,24,1,1,S.C./PARIS 2079,37.0042,,C +1254,2,"Ware, Mrs. John James (Florence Louise Long)",female,31,0,0,CA 31352,21,,S +1255,3,"Strilic, Mr. Ivan",male,27,0,0,315083,8.6625,,S +1256,1,"Harder, Mrs. George Achilles (Dorothy Annan)",female,25,1,0,11765,55.4417,E50,C +1257,3,"Sage, Mrs. John (Annie Bullen)",female,,1,9,CA. 2343,69.55,,S +1258,3,"Caram, Mr. Joseph",male,,1,0,2689,14.4583,,C +1259,3,"Riihivouri, Miss. Susanna Juhantytar Sanni""""",female,22,0,0,3101295,39.6875,,S +1260,1,"Gibson, Mrs. Leonard (Pauline C Boeson)",female,45,0,1,112378,59.4,,C +1261,2,"Pallas y Castello, Mr. Emilio",male,29,0,0,SC/PARIS 2147,13.8583,,C +1262,2,"Giles, Mr. Edgar",male,21,1,0,28133,11.5,,S +1263,1,"Wilson, Miss. Helen Alice",female,31,0,0,16966,134.5,E39 E41,C +1264,1,"Ismay, Mr. Joseph Bruce",male,49,0,0,112058,0,B52 B54 B56,S +1265,2,"Harbeck, Mr. William H",male,44,0,0,248746,13,,S +1266,1,"Dodge, Mrs. Washington (Ruth Vidaver)",female,54,1,1,33638,81.8583,A34,S +1267,1,"Bowen, Miss. Grace Scott",female,45,0,0,PC 17608,262.375,,C +1268,3,"Kink, Miss. Maria",female,22,2,0,315152,8.6625,,S +1269,2,"Cotterill, Mr. Henry Harry""""",male,21,0,0,29107,11.5,,S +1270,1,"Hipkins, Mr. William Edward",male,55,0,0,680,50,C39,S +1271,3,"Asplund, Master. Carl Edgar",male,5,4,2,347077,31.3875,,S +1272,3,"O'Connor, Mr. Patrick",male,,0,0,366713,7.75,,Q +1273,3,"Foley, Mr. Joseph",male,26,0,0,330910,7.8792,,Q +1274,3,"Risien, Mrs. Samuel (Emma)",female,,0,0,364498,14.5,,S +1275,3,"McNamee, Mrs. Neal (Eileen O'Leary)",female,19,1,0,376566,16.1,,S +1276,2,"Wheeler, Mr. Edwin Frederick""""",male,,0,0,SC/PARIS 2159,12.875,,S +1277,2,"Herman, Miss. Kate",female,24,1,2,220845,65,,S +1278,3,"Aronsson, Mr. Ernst Axel Algot",male,24,0,0,349911,7.775,,S +1279,2,"Ashby, Mr. John",male,57,0,0,244346,13,,S +1280,3,"Canavan, Mr. Patrick",male,21,0,0,364858,7.75,,Q +1281,3,"Palsson, Master. Paul Folke",male,6,3,1,349909,21.075,,S +1282,1,"Payne, Mr. Vivian Ponsonby",male,23,0,0,12749,93.5,B24,S +1283,1,"Lines, Mrs. Ernest H (Elizabeth Lindsey James)",female,51,0,1,PC 17592,39.4,D28,S +1284,3,"Abbott, Master. Eugene Joseph",male,13,0,2,C.A. 2673,20.25,,S +1285,2,"Gilbert, Mr. William",male,47,0,0,C.A. 30769,10.5,,S +1286,3,"Kink-Heilmann, Mr. Anton",male,29,3,1,315153,22.025,,S +1287,1,"Smith, Mrs. Lucien Philip (Mary Eloise Hughes)",female,18,1,0,13695,60,C31,S +1288,3,"Colbert, Mr. Patrick",male,24,0,0,371109,7.25,,Q +1289,1,"Frolicher-Stehli, Mrs. Maxmillian (Margaretha Emerentia Stehli)",female,48,1,1,13567,79.2,B41,C +1290,3,"Larsson-Rondberg, Mr. Edvard A",male,22,0,0,347065,7.775,,S +1291,3,"Conlon, Mr. Thomas Henry",male,31,0,0,21332,7.7333,,Q +1292,1,"Bonnell, Miss. Caroline",female,30,0,0,36928,164.8667,C7,S +1293,2,"Gale, Mr. Harry",male,38,1,0,28664,21,,S +1294,1,"Gibson, Miss. Dorothy Winifred",female,22,0,1,112378,59.4,,C +1295,1,"Carrau, Mr. Jose Pedro",male,17,0,0,113059,47.1,,S +1296,1,"Frauenthal, Mr. Isaac Gerald",male,43,1,0,17765,27.7208,D40,C +1297,2,"Nourney, Mr. Alfred (Baron von Drachstedt"")""",male,20,0,0,SC/PARIS 2166,13.8625,D38,C +1298,2,"Ware, Mr. William Jeffery",male,23,1,0,28666,10.5,,S +1299,1,"Widener, Mr. George Dunton",male,50,1,1,113503,211.5,C80,C +1300,3,"Riordan, Miss. Johanna Hannah""""",female,,0,0,334915,7.7208,,Q +1301,3,"Peacock, Miss. Treasteall",female,3,1,1,SOTON/O.Q. 3101315,13.775,,S +1302,3,"Naughton, Miss. Hannah",female,,0,0,365237,7.75,,Q +1303,1,"Minahan, Mrs. William Edward (Lillian E Thorpe)",female,37,1,0,19928,90,C78,Q +1304,3,"Henriksson, Miss. Jenny Lovisa",female,28,0,0,347086,7.775,,S +1305,3,"Spector, Mr. Woolf",male,,0,0,A.5. 3236,8.05,,S +1306,1,"Oliva y Ocana, Dona. Fermina",female,39,0,0,PC 17758,108.9,C105,C +1307,3,"Saether, Mr. Simon Sivertsen",male,38.5,0,0,SOTON/O.Q. 3101262,7.25,,S +1308,3,"Ware, Mr. Frederick",male,,0,0,359309,8.05,,S +1309,3,"Peter, Master. Michael J",male,,1,1,2668,22.3583,,C diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/titanic_train.csv b/appkits/qpyapp/src/qpynotes/topics/pandas/data/titanic_train.csv new file mode 100644 index 0000000..5cc466e --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/titanic_train.csv @@ -0,0 +1,892 @@ +PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked +1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S +2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38,1,0,PC 17599,71.2833,C85,C +3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S +4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35,1,0,113803,53.1,C123,S +5,0,3,"Allen, Mr. William Henry",male,35,0,0,373450,8.05,,S +6,0,3,"Moran, Mr. James",male,,0,0,330877,8.4583,,Q +7,0,1,"McCarthy, Mr. Timothy J",male,54,0,0,17463,51.8625,E46,S +8,0,3,"Palsson, Master. Gosta Leonard",male,2,3,1,349909,21.075,,S +9,1,3,"Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)",female,27,0,2,347742,11.1333,,S +10,1,2,"Nasser, Mrs. Nicholas (Adele Achem)",female,14,1,0,237736,30.0708,,C +11,1,3,"Sandstrom, Miss. Marguerite Rut",female,4,1,1,PP 9549,16.7,G6,S +12,1,1,"Bonnell, Miss. Elizabeth",female,58,0,0,113783,26.55,C103,S +13,0,3,"Saundercock, Mr. William Henry",male,20,0,0,A/5. 2151,8.05,,S +14,0,3,"Andersson, Mr. Anders Johan",male,39,1,5,347082,31.275,,S +15,0,3,"Vestrom, Miss. Hulda Amanda Adolfina",female,14,0,0,350406,7.8542,,S +16,1,2,"Hewlett, Mrs. (Mary D Kingcome) ",female,55,0,0,248706,16,,S +17,0,3,"Rice, Master. Eugene",male,2,4,1,382652,29.125,,Q +18,1,2,"Williams, Mr. Charles Eugene",male,,0,0,244373,13,,S +19,0,3,"Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)",female,31,1,0,345763,18,,S +20,1,3,"Masselmani, Mrs. Fatima",female,,0,0,2649,7.225,,C +21,0,2,"Fynney, Mr. Joseph J",male,35,0,0,239865,26,,S +22,1,2,"Beesley, Mr. Lawrence",male,34,0,0,248698,13,D56,S +23,1,3,"McGowan, Miss. Anna ""Annie""",female,15,0,0,330923,8.0292,,Q +24,1,1,"Sloper, Mr. William Thompson",male,28,0,0,113788,35.5,A6,S +25,0,3,"Palsson, Miss. Torborg Danira",female,8,3,1,349909,21.075,,S +26,1,3,"Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)",female,38,1,5,347077,31.3875,,S +27,0,3,"Emir, Mr. Farred Chehab",male,,0,0,2631,7.225,,C +28,0,1,"Fortune, Mr. Charles Alexander",male,19,3,2,19950,263,C23 C25 C27,S +29,1,3,"O'Dwyer, Miss. Ellen ""Nellie""",female,,0,0,330959,7.8792,,Q +30,0,3,"Todoroff, Mr. Lalio",male,,0,0,349216,7.8958,,S +31,0,1,"Uruchurtu, Don. Manuel E",male,40,0,0,PC 17601,27.7208,,C +32,1,1,"Spencer, Mrs. William Augustus (Marie Eugenie)",female,,1,0,PC 17569,146.5208,B78,C +33,1,3,"Glynn, Miss. Mary Agatha",female,,0,0,335677,7.75,,Q +34,0,2,"Wheadon, Mr. Edward H",male,66,0,0,C.A. 24579,10.5,,S +35,0,1,"Meyer, Mr. Edgar Joseph",male,28,1,0,PC 17604,82.1708,,C +36,0,1,"Holverson, Mr. Alexander Oskar",male,42,1,0,113789,52,,S +37,1,3,"Mamee, Mr. Hanna",male,,0,0,2677,7.2292,,C +38,0,3,"Cann, Mr. Ernest Charles",male,21,0,0,A./5. 2152,8.05,,S +39,0,3,"Vander Planke, Miss. Augusta Maria",female,18,2,0,345764,18,,S +40,1,3,"Nicola-Yarred, Miss. Jamila",female,14,1,0,2651,11.2417,,C +41,0,3,"Ahlin, Mrs. Johan (Johanna Persdotter Larsson)",female,40,1,0,7546,9.475,,S +42,0,2,"Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott)",female,27,1,0,11668,21,,S +43,0,3,"Kraeff, Mr. Theodor",male,,0,0,349253,7.8958,,C +44,1,2,"Laroche, Miss. Simonne Marie Anne Andree",female,3,1,2,SC/Paris 2123,41.5792,,C +45,1,3,"Devaney, Miss. Margaret Delia",female,19,0,0,330958,7.8792,,Q +46,0,3,"Rogers, Mr. William John",male,,0,0,S.C./A.4. 23567,8.05,,S +47,0,3,"Lennon, Mr. Denis",male,,1,0,370371,15.5,,Q +48,1,3,"O'Driscoll, Miss. Bridget",female,,0,0,14311,7.75,,Q +49,0,3,"Samaan, Mr. Youssef",male,,2,0,2662,21.6792,,C +50,0,3,"Arnold-Franchi, Mrs. Josef (Josefine Franchi)",female,18,1,0,349237,17.8,,S +51,0,3,"Panula, Master. Juha Niilo",male,7,4,1,3101295,39.6875,,S +52,0,3,"Nosworthy, Mr. Richard Cater",male,21,0,0,A/4. 39886,7.8,,S +53,1,1,"Harper, Mrs. Henry Sleeper (Myna Haxtun)",female,49,1,0,PC 17572,76.7292,D33,C +54,1,2,"Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson)",female,29,1,0,2926,26,,S +55,0,1,"Ostby, Mr. Engelhart Cornelius",male,65,0,1,113509,61.9792,B30,C +56,1,1,"Woolner, Mr. Hugh",male,,0,0,19947,35.5,C52,S +57,1,2,"Rugg, Miss. Emily",female,21,0,0,C.A. 31026,10.5,,S +58,0,3,"Novel, Mr. Mansouer",male,28.5,0,0,2697,7.2292,,C +59,1,2,"West, Miss. Constance Mirium",female,5,1,2,C.A. 34651,27.75,,S +60,0,3,"Goodwin, Master. William Frederick",male,11,5,2,CA 2144,46.9,,S +61,0,3,"Sirayanian, Mr. Orsen",male,22,0,0,2669,7.2292,,C +62,1,1,"Icard, Miss. Amelie",female,38,0,0,113572,80,B28, +63,0,1,"Harris, Mr. Henry Birkhardt",male,45,1,0,36973,83.475,C83,S +64,0,3,"Skoog, Master. Harald",male,4,3,2,347088,27.9,,S +65,0,1,"Stewart, Mr. Albert A",male,,0,0,PC 17605,27.7208,,C +66,1,3,"Moubarek, Master. Gerios",male,,1,1,2661,15.2458,,C +67,1,2,"Nye, Mrs. (Elizabeth Ramell)",female,29,0,0,C.A. 29395,10.5,F33,S +68,0,3,"Crease, Mr. Ernest James",male,19,0,0,S.P. 3464,8.1583,,S +69,1,3,"Andersson, Miss. Erna Alexandra",female,17,4,2,3101281,7.925,,S +70,0,3,"Kink, Mr. Vincenz",male,26,2,0,315151,8.6625,,S +71,0,2,"Jenkin, Mr. Stephen Curnow",male,32,0,0,C.A. 33111,10.5,,S +72,0,3,"Goodwin, Miss. Lillian Amy",female,16,5,2,CA 2144,46.9,,S +73,0,2,"Hood, Mr. Ambrose Jr",male,21,0,0,S.O.C. 14879,73.5,,S +74,0,3,"Chronopoulos, Mr. Apostolos",male,26,1,0,2680,14.4542,,C +75,1,3,"Bing, Mr. Lee",male,32,0,0,1601,56.4958,,S +76,0,3,"Moen, Mr. Sigurd Hansen",male,25,0,0,348123,7.65,F G73,S +77,0,3,"Staneff, Mr. Ivan",male,,0,0,349208,7.8958,,S +78,0,3,"Moutal, Mr. Rahamin Haim",male,,0,0,374746,8.05,,S +79,1,2,"Caldwell, Master. Alden Gates",male,0.83,0,2,248738,29,,S +80,1,3,"Dowdell, Miss. Elizabeth",female,30,0,0,364516,12.475,,S +81,0,3,"Waelens, Mr. Achille",male,22,0,0,345767,9,,S +82,1,3,"Sheerlinck, Mr. Jan Baptist",male,29,0,0,345779,9.5,,S +83,1,3,"McDermott, Miss. Brigdet Delia",female,,0,0,330932,7.7875,,Q +84,0,1,"Carrau, Mr. Francisco M",male,28,0,0,113059,47.1,,S +85,1,2,"Ilett, Miss. Bertha",female,17,0,0,SO/C 14885,10.5,,S +86,1,3,"Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson)",female,33,3,0,3101278,15.85,,S +87,0,3,"Ford, Mr. William Neal",male,16,1,3,W./C. 6608,34.375,,S +88,0,3,"Slocovski, Mr. Selman Francis",male,,0,0,SOTON/OQ 392086,8.05,,S +89,1,1,"Fortune, Miss. Mabel Helen",female,23,3,2,19950,263,C23 C25 C27,S +90,0,3,"Celotti, Mr. Francesco",male,24,0,0,343275,8.05,,S +91,0,3,"Christmann, Mr. Emil",male,29,0,0,343276,8.05,,S +92,0,3,"Andreasson, Mr. Paul Edvin",male,20,0,0,347466,7.8542,,S +93,0,1,"Chaffee, Mr. Herbert Fuller",male,46,1,0,W.E.P. 5734,61.175,E31,S +94,0,3,"Dean, Mr. Bertram Frank",male,26,1,2,C.A. 2315,20.575,,S +95,0,3,"Coxon, Mr. Daniel",male,59,0,0,364500,7.25,,S +96,0,3,"Shorney, Mr. Charles Joseph",male,,0,0,374910,8.05,,S +97,0,1,"Goldschmidt, Mr. George B",male,71,0,0,PC 17754,34.6542,A5,C +98,1,1,"Greenfield, Mr. William Bertram",male,23,0,1,PC 17759,63.3583,D10 D12,C +99,1,2,"Doling, Mrs. John T (Ada Julia Bone)",female,34,0,1,231919,23,,S +100,0,2,"Kantor, Mr. Sinai",male,34,1,0,244367,26,,S +101,0,3,"Petranec, Miss. Matilda",female,28,0,0,349245,7.8958,,S +102,0,3,"Petroff, Mr. Pastcho (""Pentcho"")",male,,0,0,349215,7.8958,,S +103,0,1,"White, Mr. Richard Frasar",male,21,0,1,35281,77.2875,D26,S +104,0,3,"Johansson, Mr. Gustaf Joel",male,33,0,0,7540,8.6542,,S +105,0,3,"Gustafsson, Mr. Anders Vilhelm",male,37,2,0,3101276,7.925,,S +106,0,3,"Mionoff, Mr. Stoytcho",male,28,0,0,349207,7.8958,,S +107,1,3,"Salkjelsvik, Miss. Anna Kristine",female,21,0,0,343120,7.65,,S +108,1,3,"Moss, Mr. Albert Johan",male,,0,0,312991,7.775,,S +109,0,3,"Rekic, Mr. Tido",male,38,0,0,349249,7.8958,,S +110,1,3,"Moran, Miss. Bertha",female,,1,0,371110,24.15,,Q +111,0,1,"Porter, Mr. Walter Chamberlain",male,47,0,0,110465,52,C110,S +112,0,3,"Zabour, Miss. Hileni",female,14.5,1,0,2665,14.4542,,C +113,0,3,"Barton, Mr. David John",male,22,0,0,324669,8.05,,S +114,0,3,"Jussila, Miss. Katriina",female,20,1,0,4136,9.825,,S +115,0,3,"Attalah, Miss. Malake",female,17,0,0,2627,14.4583,,C +116,0,3,"Pekoniemi, Mr. Edvard",male,21,0,0,STON/O 2. 3101294,7.925,,S +117,0,3,"Connors, Mr. Patrick",male,70.5,0,0,370369,7.75,,Q +118,0,2,"Turpin, Mr. William John Robert",male,29,1,0,11668,21,,S +119,0,1,"Baxter, Mr. Quigg Edmond",male,24,0,1,PC 17558,247.5208,B58 B60,C +120,0,3,"Andersson, Miss. Ellis Anna Maria",female,2,4,2,347082,31.275,,S +121,0,2,"Hickman, Mr. Stanley George",male,21,2,0,S.O.C. 14879,73.5,,S +122,0,3,"Moore, Mr. Leonard Charles",male,,0,0,A4. 54510,8.05,,S +123,0,2,"Nasser, Mr. Nicholas",male,32.5,1,0,237736,30.0708,,C +124,1,2,"Webber, Miss. Susan",female,32.5,0,0,27267,13,E101,S +125,0,1,"White, Mr. Percival Wayland",male,54,0,1,35281,77.2875,D26,S +126,1,3,"Nicola-Yarred, Master. Elias",male,12,1,0,2651,11.2417,,C +127,0,3,"McMahon, Mr. Martin",male,,0,0,370372,7.75,,Q +128,1,3,"Madsen, Mr. Fridtjof Arne",male,24,0,0,C 17369,7.1417,,S +129,1,3,"Peter, Miss. Anna",female,,1,1,2668,22.3583,F E69,C +130,0,3,"Ekstrom, Mr. Johan",male,45,0,0,347061,6.975,,S +131,0,3,"Drazenoic, Mr. Jozef",male,33,0,0,349241,7.8958,,C +132,0,3,"Coelho, Mr. Domingos Fernandeo",male,20,0,0,SOTON/O.Q. 3101307,7.05,,S +133,0,3,"Robins, Mrs. Alexander A (Grace Charity Laury)",female,47,1,0,A/5. 3337,14.5,,S +134,1,2,"Weisz, Mrs. Leopold (Mathilde Francoise Pede)",female,29,1,0,228414,26,,S +135,0,2,"Sobey, Mr. Samuel James Hayden",male,25,0,0,C.A. 29178,13,,S +136,0,2,"Richard, Mr. Emile",male,23,0,0,SC/PARIS 2133,15.0458,,C +137,1,1,"Newsom, Miss. Helen Monypeny",female,19,0,2,11752,26.2833,D47,S +138,0,1,"Futrelle, Mr. Jacques Heath",male,37,1,0,113803,53.1,C123,S +139,0,3,"Osen, Mr. Olaf Elon",male,16,0,0,7534,9.2167,,S +140,0,1,"Giglio, Mr. Victor",male,24,0,0,PC 17593,79.2,B86,C +141,0,3,"Boulos, Mrs. Joseph (Sultana)",female,,0,2,2678,15.2458,,C +142,1,3,"Nysten, Miss. Anna Sofia",female,22,0,0,347081,7.75,,S +143,1,3,"Hakkarainen, Mrs. Pekka Pietari (Elin Matilda Dolck)",female,24,1,0,STON/O2. 3101279,15.85,,S +144,0,3,"Burke, Mr. Jeremiah",male,19,0,0,365222,6.75,,Q +145,0,2,"Andrew, Mr. Edgardo Samuel",male,18,0,0,231945,11.5,,S +146,0,2,"Nicholls, Mr. Joseph Charles",male,19,1,1,C.A. 33112,36.75,,S +147,1,3,"Andersson, Mr. August Edvard (""Wennerstrom"")",male,27,0,0,350043,7.7958,,S +148,0,3,"Ford, Miss. Robina Maggie ""Ruby""",female,9,2,2,W./C. 6608,34.375,,S +149,0,2,"Navratil, Mr. Michel (""Louis M Hoffman"")",male,36.5,0,2,230080,26,F2,S +150,0,2,"Byles, Rev. Thomas Roussel Davids",male,42,0,0,244310,13,,S +151,0,2,"Bateman, Rev. Robert James",male,51,0,0,S.O.P. 1166,12.525,,S +152,1,1,"Pears, Mrs. Thomas (Edith Wearne)",female,22,1,0,113776,66.6,C2,S +153,0,3,"Meo, Mr. Alfonzo",male,55.5,0,0,A.5. 11206,8.05,,S +154,0,3,"van Billiard, Mr. Austin Blyler",male,40.5,0,2,A/5. 851,14.5,,S +155,0,3,"Olsen, Mr. Ole Martin",male,,0,0,Fa 265302,7.3125,,S +156,0,1,"Williams, Mr. Charles Duane",male,51,0,1,PC 17597,61.3792,,C +157,1,3,"Gilnagh, Miss. Katherine ""Katie""",female,16,0,0,35851,7.7333,,Q +158,0,3,"Corn, Mr. Harry",male,30,0,0,SOTON/OQ 392090,8.05,,S +159,0,3,"Smiljanic, Mr. Mile",male,,0,0,315037,8.6625,,S +160,0,3,"Sage, Master. Thomas Henry",male,,8,2,CA. 2343,69.55,,S +161,0,3,"Cribb, Mr. John Hatfield",male,44,0,1,371362,16.1,,S +162,1,2,"Watt, Mrs. James (Elizabeth ""Bessie"" Inglis Milne)",female,40,0,0,C.A. 33595,15.75,,S +163,0,3,"Bengtsson, Mr. John Viktor",male,26,0,0,347068,7.775,,S +164,0,3,"Calic, Mr. Jovo",male,17,0,0,315093,8.6625,,S +165,0,3,"Panula, Master. Eino Viljami",male,1,4,1,3101295,39.6875,,S +166,1,3,"Goldsmith, Master. Frank John William ""Frankie""",male,9,0,2,363291,20.525,,S +167,1,1,"Chibnall, Mrs. (Edith Martha Bowerman)",female,,0,1,113505,55,E33,S +168,0,3,"Skoog, Mrs. William (Anna Bernhardina Karlsson)",female,45,1,4,347088,27.9,,S +169,0,1,"Baumann, Mr. John D",male,,0,0,PC 17318,25.925,,S +170,0,3,"Ling, Mr. Lee",male,28,0,0,1601,56.4958,,S +171,0,1,"Van der hoef, Mr. Wyckoff",male,61,0,0,111240,33.5,B19,S +172,0,3,"Rice, Master. Arthur",male,4,4,1,382652,29.125,,Q +173,1,3,"Johnson, Miss. Eleanor Ileen",female,1,1,1,347742,11.1333,,S +174,0,3,"Sivola, Mr. Antti Wilhelm",male,21,0,0,STON/O 2. 3101280,7.925,,S +175,0,1,"Smith, Mr. James Clinch",male,56,0,0,17764,30.6958,A7,C +176,0,3,"Klasen, Mr. Klas Albin",male,18,1,1,350404,7.8542,,S +177,0,3,"Lefebre, Master. Henry Forbes",male,,3,1,4133,25.4667,,S +178,0,1,"Isham, Miss. Ann Elizabeth",female,50,0,0,PC 17595,28.7125,C49,C +179,0,2,"Hale, Mr. Reginald",male,30,0,0,250653,13,,S +180,0,3,"Leonard, Mr. Lionel",male,36,0,0,LINE,0,,S +181,0,3,"Sage, Miss. Constance Gladys",female,,8,2,CA. 2343,69.55,,S +182,0,2,"Pernot, Mr. Rene",male,,0,0,SC/PARIS 2131,15.05,,C +183,0,3,"Asplund, Master. Clarence Gustaf Hugo",male,9,4,2,347077,31.3875,,S +184,1,2,"Becker, Master. Richard F",male,1,2,1,230136,39,F4,S +185,1,3,"Kink-Heilmann, Miss. Luise Gretchen",female,4,0,2,315153,22.025,,S +186,0,1,"Rood, Mr. Hugh Roscoe",male,,0,0,113767,50,A32,S +187,1,3,"O'Brien, Mrs. Thomas (Johanna ""Hannah"" Godfrey)",female,,1,0,370365,15.5,,Q +188,1,1,"Romaine, Mr. Charles Hallace (""Mr C Rolmane"")",male,45,0,0,111428,26.55,,S +189,0,3,"Bourke, Mr. John",male,40,1,1,364849,15.5,,Q +190,0,3,"Turcin, Mr. Stjepan",male,36,0,0,349247,7.8958,,S +191,1,2,"Pinsky, Mrs. (Rosa)",female,32,0,0,234604,13,,S +192,0,2,"Carbines, Mr. William",male,19,0,0,28424,13,,S +193,1,3,"Andersen-Jensen, Miss. Carla Christine Nielsine",female,19,1,0,350046,7.8542,,S +194,1,2,"Navratil, Master. Michel M",male,3,1,1,230080,26,F2,S +195,1,1,"Brown, Mrs. James Joseph (Margaret Tobin)",female,44,0,0,PC 17610,27.7208,B4,C +196,1,1,"Lurette, Miss. Elise",female,58,0,0,PC 17569,146.5208,B80,C +197,0,3,"Mernagh, Mr. Robert",male,,0,0,368703,7.75,,Q +198,0,3,"Olsen, Mr. Karl Siegwart Andreas",male,42,0,1,4579,8.4042,,S +199,1,3,"Madigan, Miss. Margaret ""Maggie""",female,,0,0,370370,7.75,,Q +200,0,2,"Yrois, Miss. Henriette (""Mrs Harbeck"")",female,24,0,0,248747,13,,S +201,0,3,"Vande Walle, Mr. Nestor Cyriel",male,28,0,0,345770,9.5,,S +202,0,3,"Sage, Mr. Frederick",male,,8,2,CA. 2343,69.55,,S +203,0,3,"Johanson, Mr. Jakob Alfred",male,34,0,0,3101264,6.4958,,S +204,0,3,"Youseff, Mr. Gerious",male,45.5,0,0,2628,7.225,,C +205,1,3,"Cohen, Mr. Gurshon ""Gus""",male,18,0,0,A/5 3540,8.05,,S +206,0,3,"Strom, Miss. Telma Matilda",female,2,0,1,347054,10.4625,G6,S +207,0,3,"Backstrom, Mr. Karl Alfred",male,32,1,0,3101278,15.85,,S +208,1,3,"Albimona, Mr. Nassef Cassem",male,26,0,0,2699,18.7875,,C +209,1,3,"Carr, Miss. Helen ""Ellen""",female,16,0,0,367231,7.75,,Q +210,1,1,"Blank, Mr. Henry",male,40,0,0,112277,31,A31,C +211,0,3,"Ali, Mr. Ahmed",male,24,0,0,SOTON/O.Q. 3101311,7.05,,S +212,1,2,"Cameron, Miss. Clear Annie",female,35,0,0,F.C.C. 13528,21,,S +213,0,3,"Perkin, Mr. John Henry",male,22,0,0,A/5 21174,7.25,,S +214,0,2,"Givard, Mr. Hans Kristensen",male,30,0,0,250646,13,,S +215,0,3,"Kiernan, Mr. Philip",male,,1,0,367229,7.75,,Q +216,1,1,"Newell, Miss. Madeleine",female,31,1,0,35273,113.275,D36,C +217,1,3,"Honkanen, Miss. Eliina",female,27,0,0,STON/O2. 3101283,7.925,,S +218,0,2,"Jacobsohn, Mr. Sidney Samuel",male,42,1,0,243847,27,,S +219,1,1,"Bazzani, Miss. Albina",female,32,0,0,11813,76.2917,D15,C +220,0,2,"Harris, Mr. Walter",male,30,0,0,W/C 14208,10.5,,S +221,1,3,"Sunderland, Mr. Victor Francis",male,16,0,0,SOTON/OQ 392089,8.05,,S +222,0,2,"Bracken, Mr. James H",male,27,0,0,220367,13,,S +223,0,3,"Green, Mr. George Henry",male,51,0,0,21440,8.05,,S +224,0,3,"Nenkoff, Mr. Christo",male,,0,0,349234,7.8958,,S +225,1,1,"Hoyt, Mr. Frederick Maxfield",male,38,1,0,19943,90,C93,S +226,0,3,"Berglund, Mr. Karl Ivar Sven",male,22,0,0,PP 4348,9.35,,S +227,1,2,"Mellors, Mr. William John",male,19,0,0,SW/PP 751,10.5,,S +228,0,3,"Lovell, Mr. John Hall (""Henry"")",male,20.5,0,0,A/5 21173,7.25,,S +229,0,2,"Fahlstrom, Mr. Arne Jonas",male,18,0,0,236171,13,,S +230,0,3,"Lefebre, Miss. Mathilde",female,,3,1,4133,25.4667,,S +231,1,1,"Harris, Mrs. Henry Birkhardt (Irene Wallach)",female,35,1,0,36973,83.475,C83,S +232,0,3,"Larsson, Mr. Bengt Edvin",male,29,0,0,347067,7.775,,S +233,0,2,"Sjostedt, Mr. Ernst Adolf",male,59,0,0,237442,13.5,,S +234,1,3,"Asplund, Miss. Lillian Gertrud",female,5,4,2,347077,31.3875,,S +235,0,2,"Leyson, Mr. Robert William Norman",male,24,0,0,C.A. 29566,10.5,,S +236,0,3,"Harknett, Miss. Alice Phoebe",female,,0,0,W./C. 6609,7.55,,S +237,0,2,"Hold, Mr. Stephen",male,44,1,0,26707,26,,S +238,1,2,"Collyer, Miss. Marjorie ""Lottie""",female,8,0,2,C.A. 31921,26.25,,S +239,0,2,"Pengelly, Mr. Frederick William",male,19,0,0,28665,10.5,,S +240,0,2,"Hunt, Mr. George Henry",male,33,0,0,SCO/W 1585,12.275,,S +241,0,3,"Zabour, Miss. Thamine",female,,1,0,2665,14.4542,,C +242,1,3,"Murphy, Miss. Katherine ""Kate""",female,,1,0,367230,15.5,,Q +243,0,2,"Coleridge, Mr. Reginald Charles",male,29,0,0,W./C. 14263,10.5,,S +244,0,3,"Maenpaa, Mr. Matti Alexanteri",male,22,0,0,STON/O 2. 3101275,7.125,,S +245,0,3,"Attalah, Mr. Sleiman",male,30,0,0,2694,7.225,,C +246,0,1,"Minahan, Dr. William Edward",male,44,2,0,19928,90,C78,Q +247,0,3,"Lindahl, Miss. Agda Thorilda Viktoria",female,25,0,0,347071,7.775,,S +248,1,2,"Hamalainen, Mrs. William (Anna)",female,24,0,2,250649,14.5,,S +249,1,1,"Beckwith, Mr. Richard Leonard",male,37,1,1,11751,52.5542,D35,S +250,0,2,"Carter, Rev. Ernest Courtenay",male,54,1,0,244252,26,,S +251,0,3,"Reed, Mr. James George",male,,0,0,362316,7.25,,S +252,0,3,"Strom, Mrs. Wilhelm (Elna Matilda Persson)",female,29,1,1,347054,10.4625,G6,S +253,0,1,"Stead, Mr. William Thomas",male,62,0,0,113514,26.55,C87,S +254,0,3,"Lobb, Mr. William Arthur",male,30,1,0,A/5. 3336,16.1,,S +255,0,3,"Rosblom, Mrs. Viktor (Helena Wilhelmina)",female,41,0,2,370129,20.2125,,S +256,1,3,"Touma, Mrs. Darwis (Hanne Youssef Razi)",female,29,0,2,2650,15.2458,,C +257,1,1,"Thorne, Mrs. Gertrude Maybelle",female,,0,0,PC 17585,79.2,,C +258,1,1,"Cherry, Miss. Gladys",female,30,0,0,110152,86.5,B77,S +259,1,1,"Ward, Miss. Anna",female,35,0,0,PC 17755,512.3292,,C +260,1,2,"Parrish, Mrs. (Lutie Davis)",female,50,0,1,230433,26,,S +261,0,3,"Smith, Mr. Thomas",male,,0,0,384461,7.75,,Q +262,1,3,"Asplund, Master. Edvin Rojj Felix",male,3,4,2,347077,31.3875,,S +263,0,1,"Taussig, Mr. Emil",male,52,1,1,110413,79.65,E67,S +264,0,1,"Harrison, Mr. William",male,40,0,0,112059,0,B94,S +265,0,3,"Henry, Miss. Delia",female,,0,0,382649,7.75,,Q +266,0,2,"Reeves, Mr. David",male,36,0,0,C.A. 17248,10.5,,S +267,0,3,"Panula, Mr. Ernesti Arvid",male,16,4,1,3101295,39.6875,,S +268,1,3,"Persson, Mr. Ernst Ulrik",male,25,1,0,347083,7.775,,S +269,1,1,"Graham, Mrs. William Thompson (Edith Junkins)",female,58,0,1,PC 17582,153.4625,C125,S +270,1,1,"Bissette, Miss. Amelia",female,35,0,0,PC 17760,135.6333,C99,S +271,0,1,"Cairns, Mr. Alexander",male,,0,0,113798,31,,S +272,1,3,"Tornquist, Mr. William Henry",male,25,0,0,LINE,0,,S +273,1,2,"Mellinger, Mrs. (Elizabeth Anne Maidment)",female,41,0,1,250644,19.5,,S +274,0,1,"Natsch, Mr. Charles H",male,37,0,1,PC 17596,29.7,C118,C +275,1,3,"Healy, Miss. Hanora ""Nora""",female,,0,0,370375,7.75,,Q +276,1,1,"Andrews, Miss. Kornelia Theodosia",female,63,1,0,13502,77.9583,D7,S +277,0,3,"Lindblom, Miss. Augusta Charlotta",female,45,0,0,347073,7.75,,S +278,0,2,"Parkes, Mr. Francis ""Frank""",male,,0,0,239853,0,,S +279,0,3,"Rice, Master. Eric",male,7,4,1,382652,29.125,,Q +280,1,3,"Abbott, Mrs. Stanton (Rosa Hunt)",female,35,1,1,C.A. 2673,20.25,,S +281,0,3,"Duane, Mr. Frank",male,65,0,0,336439,7.75,,Q +282,0,3,"Olsson, Mr. Nils Johan Goransson",male,28,0,0,347464,7.8542,,S +283,0,3,"de Pelsmaeker, Mr. Alfons",male,16,0,0,345778,9.5,,S +284,1,3,"Dorking, Mr. Edward Arthur",male,19,0,0,A/5. 10482,8.05,,S +285,0,1,"Smith, Mr. Richard William",male,,0,0,113056,26,A19,S +286,0,3,"Stankovic, Mr. Ivan",male,33,0,0,349239,8.6625,,C +287,1,3,"de Mulder, Mr. Theodore",male,30,0,0,345774,9.5,,S +288,0,3,"Naidenoff, Mr. Penko",male,22,0,0,349206,7.8958,,S +289,1,2,"Hosono, Mr. Masabumi",male,42,0,0,237798,13,,S +290,1,3,"Connolly, Miss. Kate",female,22,0,0,370373,7.75,,Q +291,1,1,"Barber, Miss. Ellen ""Nellie""",female,26,0,0,19877,78.85,,S +292,1,1,"Bishop, Mrs. Dickinson H (Helen Walton)",female,19,1,0,11967,91.0792,B49,C +293,0,2,"Levy, Mr. Rene Jacques",male,36,0,0,SC/Paris 2163,12.875,D,C +294,0,3,"Haas, Miss. Aloisia",female,24,0,0,349236,8.85,,S +295,0,3,"Mineff, Mr. Ivan",male,24,0,0,349233,7.8958,,S +296,0,1,"Lewy, Mr. Ervin G",male,,0,0,PC 17612,27.7208,,C +297,0,3,"Hanna, Mr. Mansour",male,23.5,0,0,2693,7.2292,,C +298,0,1,"Allison, Miss. Helen Loraine",female,2,1,2,113781,151.55,C22 C26,S +299,1,1,"Saalfeld, Mr. Adolphe",male,,0,0,19988,30.5,C106,S +300,1,1,"Baxter, Mrs. James (Helene DeLaudeniere Chaput)",female,50,0,1,PC 17558,247.5208,B58 B60,C +301,1,3,"Kelly, Miss. Anna Katherine ""Annie Kate""",female,,0,0,9234,7.75,,Q +302,1,3,"McCoy, Mr. Bernard",male,,2,0,367226,23.25,,Q +303,0,3,"Johnson, Mr. William Cahoone Jr",male,19,0,0,LINE,0,,S +304,1,2,"Keane, Miss. Nora A",female,,0,0,226593,12.35,E101,Q +305,0,3,"Williams, Mr. Howard Hugh ""Harry""",male,,0,0,A/5 2466,8.05,,S +306,1,1,"Allison, Master. Hudson Trevor",male,0.92,1,2,113781,151.55,C22 C26,S +307,1,1,"Fleming, Miss. Margaret",female,,0,0,17421,110.8833,,C +308,1,1,"Penasco y Castellana, Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo)",female,17,1,0,PC 17758,108.9,C65,C +309,0,2,"Abelson, Mr. Samuel",male,30,1,0,P/PP 3381,24,,C +310,1,1,"Francatelli, Miss. Laura Mabel",female,30,0,0,PC 17485,56.9292,E36,C +311,1,1,"Hays, Miss. Margaret Bechstein",female,24,0,0,11767,83.1583,C54,C +312,1,1,"Ryerson, Miss. Emily Borie",female,18,2,2,PC 17608,262.375,B57 B59 B63 B66,C +313,0,2,"Lahtinen, Mrs. William (Anna Sylfven)",female,26,1,1,250651,26,,S +314,0,3,"Hendekovic, Mr. Ignjac",male,28,0,0,349243,7.8958,,S +315,0,2,"Hart, Mr. Benjamin",male,43,1,1,F.C.C. 13529,26.25,,S +316,1,3,"Nilsson, Miss. Helmina Josefina",female,26,0,0,347470,7.8542,,S +317,1,2,"Kantor, Mrs. Sinai (Miriam Sternin)",female,24,1,0,244367,26,,S +318,0,2,"Moraweck, Dr. Ernest",male,54,0,0,29011,14,,S +319,1,1,"Wick, Miss. Mary Natalie",female,31,0,2,36928,164.8667,C7,S +320,1,1,"Spedden, Mrs. Frederic Oakley (Margaretta Corning Stone)",female,40,1,1,16966,134.5,E34,C +321,0,3,"Dennis, Mr. Samuel",male,22,0,0,A/5 21172,7.25,,S +322,0,3,"Danoff, Mr. Yoto",male,27,0,0,349219,7.8958,,S +323,1,2,"Slayter, Miss. Hilda Mary",female,30,0,0,234818,12.35,,Q +324,1,2,"Caldwell, Mrs. Albert Francis (Sylvia Mae Harbaugh)",female,22,1,1,248738,29,,S +325,0,3,"Sage, Mr. George John Jr",male,,8,2,CA. 2343,69.55,,S +326,1,1,"Young, Miss. Marie Grice",female,36,0,0,PC 17760,135.6333,C32,C +327,0,3,"Nysveen, Mr. Johan Hansen",male,61,0,0,345364,6.2375,,S +328,1,2,"Ball, Mrs. (Ada E Hall)",female,36,0,0,28551,13,D,S +329,1,3,"Goldsmith, Mrs. Frank John (Emily Alice Brown)",female,31,1,1,363291,20.525,,S +330,1,1,"Hippach, Miss. Jean Gertrude",female,16,0,1,111361,57.9792,B18,C +331,1,3,"McCoy, Miss. Agnes",female,,2,0,367226,23.25,,Q +332,0,1,"Partner, Mr. Austen",male,45.5,0,0,113043,28.5,C124,S +333,0,1,"Graham, Mr. George Edward",male,38,0,1,PC 17582,153.4625,C91,S +334,0,3,"Vander Planke, Mr. Leo Edmondus",male,16,2,0,345764,18,,S +335,1,1,"Frauenthal, Mrs. Henry William (Clara Heinsheimer)",female,,1,0,PC 17611,133.65,,S +336,0,3,"Denkoff, Mr. Mitto",male,,0,0,349225,7.8958,,S +337,0,1,"Pears, Mr. Thomas Clinton",male,29,1,0,113776,66.6,C2,S +338,1,1,"Burns, Miss. Elizabeth Margaret",female,41,0,0,16966,134.5,E40,C +339,1,3,"Dahl, Mr. Karl Edwart",male,45,0,0,7598,8.05,,S +340,0,1,"Blackwell, Mr. Stephen Weart",male,45,0,0,113784,35.5,T,S +341,1,2,"Navratil, Master. Edmond Roger",male,2,1,1,230080,26,F2,S +342,1,1,"Fortune, Miss. Alice Elizabeth",female,24,3,2,19950,263,C23 C25 C27,S +343,0,2,"Collander, Mr. Erik Gustaf",male,28,0,0,248740,13,,S +344,0,2,"Sedgwick, Mr. Charles Frederick Waddington",male,25,0,0,244361,13,,S +345,0,2,"Fox, Mr. Stanley Hubert",male,36,0,0,229236,13,,S +346,1,2,"Brown, Miss. Amelia ""Mildred""",female,24,0,0,248733,13,F33,S +347,1,2,"Smith, Miss. Marion Elsie",female,40,0,0,31418,13,,S +348,1,3,"Davison, Mrs. Thomas Henry (Mary E Finck)",female,,1,0,386525,16.1,,S +349,1,3,"Coutts, Master. William Loch ""William""",male,3,1,1,C.A. 37671,15.9,,S +350,0,3,"Dimic, Mr. Jovan",male,42,0,0,315088,8.6625,,S +351,0,3,"Odahl, Mr. Nils Martin",male,23,0,0,7267,9.225,,S +352,0,1,"Williams-Lambert, Mr. Fletcher Fellows",male,,0,0,113510,35,C128,S +353,0,3,"Elias, Mr. Tannous",male,15,1,1,2695,7.2292,,C +354,0,3,"Arnold-Franchi, Mr. Josef",male,25,1,0,349237,17.8,,S +355,0,3,"Yousif, Mr. Wazli",male,,0,0,2647,7.225,,C +356,0,3,"Vanden Steen, Mr. Leo Peter",male,28,0,0,345783,9.5,,S +357,1,1,"Bowerman, Miss. Elsie Edith",female,22,0,1,113505,55,E33,S +358,0,2,"Funk, Miss. Annie Clemmer",female,38,0,0,237671,13,,S +359,1,3,"McGovern, Miss. Mary",female,,0,0,330931,7.8792,,Q +360,1,3,"Mockler, Miss. Helen Mary ""Ellie""",female,,0,0,330980,7.8792,,Q +361,0,3,"Skoog, Mr. Wilhelm",male,40,1,4,347088,27.9,,S +362,0,2,"del Carlo, Mr. Sebastiano",male,29,1,0,SC/PARIS 2167,27.7208,,C +363,0,3,"Barbara, Mrs. (Catherine David)",female,45,0,1,2691,14.4542,,C +364,0,3,"Asim, Mr. Adola",male,35,0,0,SOTON/O.Q. 3101310,7.05,,S +365,0,3,"O'Brien, Mr. Thomas",male,,1,0,370365,15.5,,Q +366,0,3,"Adahl, Mr. Mauritz Nils Martin",male,30,0,0,C 7076,7.25,,S +367,1,1,"Warren, Mrs. Frank Manley (Anna Sophia Atkinson)",female,60,1,0,110813,75.25,D37,C +368,1,3,"Moussa, Mrs. (Mantoura Boulos)",female,,0,0,2626,7.2292,,C +369,1,3,"Jermyn, Miss. Annie",female,,0,0,14313,7.75,,Q +370,1,1,"Aubart, Mme. Leontine Pauline",female,24,0,0,PC 17477,69.3,B35,C +371,1,1,"Harder, Mr. George Achilles",male,25,1,0,11765,55.4417,E50,C +372,0,3,"Wiklund, Mr. Jakob Alfred",male,18,1,0,3101267,6.4958,,S +373,0,3,"Beavan, Mr. William Thomas",male,19,0,0,323951,8.05,,S +374,0,1,"Ringhini, Mr. Sante",male,22,0,0,PC 17760,135.6333,,C +375,0,3,"Palsson, Miss. Stina Viola",female,3,3,1,349909,21.075,,S +376,1,1,"Meyer, Mrs. Edgar Joseph (Leila Saks)",female,,1,0,PC 17604,82.1708,,C +377,1,3,"Landergren, Miss. Aurora Adelia",female,22,0,0,C 7077,7.25,,S +378,0,1,"Widener, Mr. Harry Elkins",male,27,0,2,113503,211.5,C82,C +379,0,3,"Betros, Mr. Tannous",male,20,0,0,2648,4.0125,,C +380,0,3,"Gustafsson, Mr. Karl Gideon",male,19,0,0,347069,7.775,,S +381,1,1,"Bidois, Miss. Rosalie",female,42,0,0,PC 17757,227.525,,C +382,1,3,"Nakid, Miss. Maria (""Mary"")",female,1,0,2,2653,15.7417,,C +383,0,3,"Tikkanen, Mr. Juho",male,32,0,0,STON/O 2. 3101293,7.925,,S +384,1,1,"Holverson, Mrs. Alexander Oskar (Mary Aline Towner)",female,35,1,0,113789,52,,S +385,0,3,"Plotcharsky, Mr. Vasil",male,,0,0,349227,7.8958,,S +386,0,2,"Davies, Mr. Charles Henry",male,18,0,0,S.O.C. 14879,73.5,,S +387,0,3,"Goodwin, Master. Sidney Leonard",male,1,5,2,CA 2144,46.9,,S +388,1,2,"Buss, Miss. Kate",female,36,0,0,27849,13,,S +389,0,3,"Sadlier, Mr. Matthew",male,,0,0,367655,7.7292,,Q +390,1,2,"Lehmann, Miss. Bertha",female,17,0,0,SC 1748,12,,C +391,1,1,"Carter, Mr. William Ernest",male,36,1,2,113760,120,B96 B98,S +392,1,3,"Jansson, Mr. Carl Olof",male,21,0,0,350034,7.7958,,S +393,0,3,"Gustafsson, Mr. Johan Birger",male,28,2,0,3101277,7.925,,S +394,1,1,"Newell, Miss. Marjorie",female,23,1,0,35273,113.275,D36,C +395,1,3,"Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)",female,24,0,2,PP 9549,16.7,G6,S +396,0,3,"Johansson, Mr. Erik",male,22,0,0,350052,7.7958,,S +397,0,3,"Olsson, Miss. Elina",female,31,0,0,350407,7.8542,,S +398,0,2,"McKane, Mr. Peter David",male,46,0,0,28403,26,,S +399,0,2,"Pain, Dr. Alfred",male,23,0,0,244278,10.5,,S +400,1,2,"Trout, Mrs. William H (Jessie L)",female,28,0,0,240929,12.65,,S +401,1,3,"Niskanen, Mr. Juha",male,39,0,0,STON/O 2. 3101289,7.925,,S +402,0,3,"Adams, Mr. John",male,26,0,0,341826,8.05,,S +403,0,3,"Jussila, Miss. Mari Aina",female,21,1,0,4137,9.825,,S +404,0,3,"Hakkarainen, Mr. Pekka Pietari",male,28,1,0,STON/O2. 3101279,15.85,,S +405,0,3,"Oreskovic, Miss. Marija",female,20,0,0,315096,8.6625,,S +406,0,2,"Gale, Mr. Shadrach",male,34,1,0,28664,21,,S +407,0,3,"Widegren, Mr. Carl/Charles Peter",male,51,0,0,347064,7.75,,S +408,1,2,"Richards, Master. William Rowe",male,3,1,1,29106,18.75,,S +409,0,3,"Birkeland, Mr. Hans Martin Monsen",male,21,0,0,312992,7.775,,S +410,0,3,"Lefebre, Miss. Ida",female,,3,1,4133,25.4667,,S +411,0,3,"Sdycoff, Mr. Todor",male,,0,0,349222,7.8958,,S +412,0,3,"Hart, Mr. Henry",male,,0,0,394140,6.8583,,Q +413,1,1,"Minahan, Miss. Daisy E",female,33,1,0,19928,90,C78,Q +414,0,2,"Cunningham, Mr. Alfred Fleming",male,,0,0,239853,0,,S +415,1,3,"Sundman, Mr. Johan Julian",male,44,0,0,STON/O 2. 3101269,7.925,,S +416,0,3,"Meek, Mrs. Thomas (Annie Louise Rowley)",female,,0,0,343095,8.05,,S +417,1,2,"Drew, Mrs. James Vivian (Lulu Thorne Christian)",female,34,1,1,28220,32.5,,S +418,1,2,"Silven, Miss. Lyyli Karoliina",female,18,0,2,250652,13,,S +419,0,2,"Matthews, Mr. William John",male,30,0,0,28228,13,,S +420,0,3,"Van Impe, Miss. Catharina",female,10,0,2,345773,24.15,,S +421,0,3,"Gheorgheff, Mr. Stanio",male,,0,0,349254,7.8958,,C +422,0,3,"Charters, Mr. David",male,21,0,0,A/5. 13032,7.7333,,Q +423,0,3,"Zimmerman, Mr. Leo",male,29,0,0,315082,7.875,,S +424,0,3,"Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren)",female,28,1,1,347080,14.4,,S +425,0,3,"Rosblom, Mr. Viktor Richard",male,18,1,1,370129,20.2125,,S +426,0,3,"Wiseman, Mr. Phillippe",male,,0,0,A/4. 34244,7.25,,S +427,1,2,"Clarke, Mrs. Charles V (Ada Maria Winfield)",female,28,1,0,2003,26,,S +428,1,2,"Phillips, Miss. Kate Florence (""Mrs Kate Louise Phillips Marshall"")",female,19,0,0,250655,26,,S +429,0,3,"Flynn, Mr. James",male,,0,0,364851,7.75,,Q +430,1,3,"Pickard, Mr. Berk (Berk Trembisky)",male,32,0,0,SOTON/O.Q. 392078,8.05,E10,S +431,1,1,"Bjornstrom-Steffansson, Mr. Mauritz Hakan",male,28,0,0,110564,26.55,C52,S +432,1,3,"Thorneycroft, Mrs. Percival (Florence Kate White)",female,,1,0,376564,16.1,,S +433,1,2,"Louch, Mrs. Charles Alexander (Alice Adelaide Slow)",female,42,1,0,SC/AH 3085,26,,S +434,0,3,"Kallio, Mr. Nikolai Erland",male,17,0,0,STON/O 2. 3101274,7.125,,S +435,0,1,"Silvey, Mr. William Baird",male,50,1,0,13507,55.9,E44,S +436,1,1,"Carter, Miss. Lucile Polk",female,14,1,2,113760,120,B96 B98,S +437,0,3,"Ford, Miss. Doolina Margaret ""Daisy""",female,21,2,2,W./C. 6608,34.375,,S +438,1,2,"Richards, Mrs. Sidney (Emily Hocking)",female,24,2,3,29106,18.75,,S +439,0,1,"Fortune, Mr. Mark",male,64,1,4,19950,263,C23 C25 C27,S +440,0,2,"Kvillner, Mr. Johan Henrik Johannesson",male,31,0,0,C.A. 18723,10.5,,S +441,1,2,"Hart, Mrs. Benjamin (Esther Ada Bloomfield)",female,45,1,1,F.C.C. 13529,26.25,,S +442,0,3,"Hampe, Mr. Leon",male,20,0,0,345769,9.5,,S +443,0,3,"Petterson, Mr. Johan Emil",male,25,1,0,347076,7.775,,S +444,1,2,"Reynaldo, Ms. Encarnacion",female,28,0,0,230434,13,,S +445,1,3,"Johannesen-Bratthammer, Mr. Bernt",male,,0,0,65306,8.1125,,S +446,1,1,"Dodge, Master. Washington",male,4,0,2,33638,81.8583,A34,S +447,1,2,"Mellinger, Miss. Madeleine Violet",female,13,0,1,250644,19.5,,S +448,1,1,"Seward, Mr. Frederic Kimber",male,34,0,0,113794,26.55,,S +449,1,3,"Baclini, Miss. Marie Catherine",female,5,2,1,2666,19.2583,,C +450,1,1,"Peuchen, Major. Arthur Godfrey",male,52,0,0,113786,30.5,C104,S +451,0,2,"West, Mr. Edwy Arthur",male,36,1,2,C.A. 34651,27.75,,S +452,0,3,"Hagland, Mr. Ingvald Olai Olsen",male,,1,0,65303,19.9667,,S +453,0,1,"Foreman, Mr. Benjamin Laventall",male,30,0,0,113051,27.75,C111,C +454,1,1,"Goldenberg, Mr. Samuel L",male,49,1,0,17453,89.1042,C92,C +455,0,3,"Peduzzi, Mr. Joseph",male,,0,0,A/5 2817,8.05,,S +456,1,3,"Jalsevac, Mr. Ivan",male,29,0,0,349240,7.8958,,C +457,0,1,"Millet, Mr. Francis Davis",male,65,0,0,13509,26.55,E38,S +458,1,1,"Kenyon, Mrs. Frederick R (Marion)",female,,1,0,17464,51.8625,D21,S +459,1,2,"Toomey, Miss. Ellen",female,50,0,0,F.C.C. 13531,10.5,,S +460,0,3,"O'Connor, Mr. Maurice",male,,0,0,371060,7.75,,Q +461,1,1,"Anderson, Mr. Harry",male,48,0,0,19952,26.55,E12,S +462,0,3,"Morley, Mr. William",male,34,0,0,364506,8.05,,S +463,0,1,"Gee, Mr. Arthur H",male,47,0,0,111320,38.5,E63,S +464,0,2,"Milling, Mr. Jacob Christian",male,48,0,0,234360,13,,S +465,0,3,"Maisner, Mr. Simon",male,,0,0,A/S 2816,8.05,,S +466,0,3,"Goncalves, Mr. Manuel Estanslas",male,38,0,0,SOTON/O.Q. 3101306,7.05,,S +467,0,2,"Campbell, Mr. William",male,,0,0,239853,0,,S +468,0,1,"Smart, Mr. John Montgomery",male,56,0,0,113792,26.55,,S +469,0,3,"Scanlan, Mr. James",male,,0,0,36209,7.725,,Q +470,1,3,"Baclini, Miss. Helene Barbara",female,0.75,2,1,2666,19.2583,,C +471,0,3,"Keefe, Mr. Arthur",male,,0,0,323592,7.25,,S +472,0,3,"Cacic, Mr. Luka",male,38,0,0,315089,8.6625,,S +473,1,2,"West, Mrs. Edwy Arthur (Ada Mary Worth)",female,33,1,2,C.A. 34651,27.75,,S +474,1,2,"Jerwan, Mrs. Amin S (Marie Marthe Thuillard)",female,23,0,0,SC/AH Basle 541,13.7917,D,C +475,0,3,"Strandberg, Miss. Ida Sofia",female,22,0,0,7553,9.8375,,S +476,0,1,"Clifford, Mr. George Quincy",male,,0,0,110465,52,A14,S +477,0,2,"Renouf, Mr. Peter Henry",male,34,1,0,31027,21,,S +478,0,3,"Braund, Mr. Lewis Richard",male,29,1,0,3460,7.0458,,S +479,0,3,"Karlsson, Mr. Nils August",male,22,0,0,350060,7.5208,,S +480,1,3,"Hirvonen, Miss. Hildur E",female,2,0,1,3101298,12.2875,,S +481,0,3,"Goodwin, Master. Harold Victor",male,9,5,2,CA 2144,46.9,,S +482,0,2,"Frost, Mr. Anthony Wood ""Archie""",male,,0,0,239854,0,,S +483,0,3,"Rouse, Mr. Richard Henry",male,50,0,0,A/5 3594,8.05,,S +484,1,3,"Turkula, Mrs. (Hedwig)",female,63,0,0,4134,9.5875,,S +485,1,1,"Bishop, Mr. Dickinson H",male,25,1,0,11967,91.0792,B49,C +486,0,3,"Lefebre, Miss. Jeannie",female,,3,1,4133,25.4667,,S +487,1,1,"Hoyt, Mrs. Frederick Maxfield (Jane Anne Forby)",female,35,1,0,19943,90,C93,S +488,0,1,"Kent, Mr. Edward Austin",male,58,0,0,11771,29.7,B37,C +489,0,3,"Somerton, Mr. Francis William",male,30,0,0,A.5. 18509,8.05,,S +490,1,3,"Coutts, Master. Eden Leslie ""Neville""",male,9,1,1,C.A. 37671,15.9,,S +491,0,3,"Hagland, Mr. Konrad Mathias Reiersen",male,,1,0,65304,19.9667,,S +492,0,3,"Windelov, Mr. Einar",male,21,0,0,SOTON/OQ 3101317,7.25,,S +493,0,1,"Molson, Mr. Harry Markland",male,55,0,0,113787,30.5,C30,S +494,0,1,"Artagaveytia, Mr. Ramon",male,71,0,0,PC 17609,49.5042,,C +495,0,3,"Stanley, Mr. Edward Roland",male,21,0,0,A/4 45380,8.05,,S +496,0,3,"Yousseff, Mr. Gerious",male,,0,0,2627,14.4583,,C +497,1,1,"Eustis, Miss. Elizabeth Mussey",female,54,1,0,36947,78.2667,D20,C +498,0,3,"Shellard, Mr. Frederick William",male,,0,0,C.A. 6212,15.1,,S +499,0,1,"Allison, Mrs. Hudson J C (Bessie Waldo Daniels)",female,25,1,2,113781,151.55,C22 C26,S +500,0,3,"Svensson, Mr. Olof",male,24,0,0,350035,7.7958,,S +501,0,3,"Calic, Mr. Petar",male,17,0,0,315086,8.6625,,S +502,0,3,"Canavan, Miss. Mary",female,21,0,0,364846,7.75,,Q +503,0,3,"O'Sullivan, Miss. Bridget Mary",female,,0,0,330909,7.6292,,Q +504,0,3,"Laitinen, Miss. Kristina Sofia",female,37,0,0,4135,9.5875,,S +505,1,1,"Maioni, Miss. Roberta",female,16,0,0,110152,86.5,B79,S +506,0,1,"Penasco y Castellana, Mr. Victor de Satode",male,18,1,0,PC 17758,108.9,C65,C +507,1,2,"Quick, Mrs. Frederick Charles (Jane Richards)",female,33,0,2,26360,26,,S +508,1,1,"Bradley, Mr. George (""George Arthur Brayton"")",male,,0,0,111427,26.55,,S +509,0,3,"Olsen, Mr. Henry Margido",male,28,0,0,C 4001,22.525,,S +510,1,3,"Lang, Mr. Fang",male,26,0,0,1601,56.4958,,S +511,1,3,"Daly, Mr. Eugene Patrick",male,29,0,0,382651,7.75,,Q +512,0,3,"Webber, Mr. James",male,,0,0,SOTON/OQ 3101316,8.05,,S +513,1,1,"McGough, Mr. James Robert",male,36,0,0,PC 17473,26.2875,E25,S +514,1,1,"Rothschild, Mrs. Martin (Elizabeth L. Barrett)",female,54,1,0,PC 17603,59.4,,C +515,0,3,"Coleff, Mr. Satio",male,24,0,0,349209,7.4958,,S +516,0,1,"Walker, Mr. William Anderson",male,47,0,0,36967,34.0208,D46,S +517,1,2,"Lemore, Mrs. (Amelia Milley)",female,34,0,0,C.A. 34260,10.5,F33,S +518,0,3,"Ryan, Mr. Patrick",male,,0,0,371110,24.15,,Q +519,1,2,"Angle, Mrs. William A (Florence ""Mary"" Agnes Hughes)",female,36,1,0,226875,26,,S +520,0,3,"Pavlovic, Mr. Stefo",male,32,0,0,349242,7.8958,,S +521,1,1,"Perreault, Miss. Anne",female,30,0,0,12749,93.5,B73,S +522,0,3,"Vovk, Mr. Janko",male,22,0,0,349252,7.8958,,S +523,0,3,"Lahoud, Mr. Sarkis",male,,0,0,2624,7.225,,C +524,1,1,"Hippach, Mrs. Louis Albert (Ida Sophia Fischer)",female,44,0,1,111361,57.9792,B18,C +525,0,3,"Kassem, Mr. Fared",male,,0,0,2700,7.2292,,C +526,0,3,"Farrell, Mr. James",male,40.5,0,0,367232,7.75,,Q +527,1,2,"Ridsdale, Miss. Lucy",female,50,0,0,W./C. 14258,10.5,,S +528,0,1,"Farthing, Mr. John",male,,0,0,PC 17483,221.7792,C95,S +529,0,3,"Salonen, Mr. Johan Werner",male,39,0,0,3101296,7.925,,S +530,0,2,"Hocking, Mr. Richard George",male,23,2,1,29104,11.5,,S +531,1,2,"Quick, Miss. Phyllis May",female,2,1,1,26360,26,,S +532,0,3,"Toufik, Mr. Nakli",male,,0,0,2641,7.2292,,C +533,0,3,"Elias, Mr. Joseph Jr",male,17,1,1,2690,7.2292,,C +534,1,3,"Peter, Mrs. Catherine (Catherine Rizk)",female,,0,2,2668,22.3583,,C +535,0,3,"Cacic, Miss. Marija",female,30,0,0,315084,8.6625,,S +536,1,2,"Hart, Miss. Eva Miriam",female,7,0,2,F.C.C. 13529,26.25,,S +537,0,1,"Butt, Major. Archibald Willingham",male,45,0,0,113050,26.55,B38,S +538,1,1,"LeRoy, Miss. Bertha",female,30,0,0,PC 17761,106.425,,C +539,0,3,"Risien, Mr. Samuel Beard",male,,0,0,364498,14.5,,S +540,1,1,"Frolicher, Miss. Hedwig Margaritha",female,22,0,2,13568,49.5,B39,C +541,1,1,"Crosby, Miss. Harriet R",female,36,0,2,WE/P 5735,71,B22,S +542,0,3,"Andersson, Miss. Ingeborg Constanzia",female,9,4,2,347082,31.275,,S +543,0,3,"Andersson, Miss. Sigrid Elisabeth",female,11,4,2,347082,31.275,,S +544,1,2,"Beane, Mr. Edward",male,32,1,0,2908,26,,S +545,0,1,"Douglas, Mr. Walter Donald",male,50,1,0,PC 17761,106.425,C86,C +546,0,1,"Nicholson, Mr. Arthur Ernest",male,64,0,0,693,26,,S +547,1,2,"Beane, Mrs. Edward (Ethel Clarke)",female,19,1,0,2908,26,,S +548,1,2,"Padro y Manent, Mr. Julian",male,,0,0,SC/PARIS 2146,13.8625,,C +549,0,3,"Goldsmith, Mr. Frank John",male,33,1,1,363291,20.525,,S +550,1,2,"Davies, Master. John Morgan Jr",male,8,1,1,C.A. 33112,36.75,,S +551,1,1,"Thayer, Mr. John Borland Jr",male,17,0,2,17421,110.8833,C70,C +552,0,2,"Sharp, Mr. Percival James R",male,27,0,0,244358,26,,S +553,0,3,"O'Brien, Mr. Timothy",male,,0,0,330979,7.8292,,Q +554,1,3,"Leeni, Mr. Fahim (""Philip Zenni"")",male,22,0,0,2620,7.225,,C +555,1,3,"Ohman, Miss. Velin",female,22,0,0,347085,7.775,,S +556,0,1,"Wright, Mr. George",male,62,0,0,113807,26.55,,S +557,1,1,"Duff Gordon, Lady. (Lucille Christiana Sutherland) (""Mrs Morgan"")",female,48,1,0,11755,39.6,A16,C +558,0,1,"Robbins, Mr. Victor",male,,0,0,PC 17757,227.525,,C +559,1,1,"Taussig, Mrs. Emil (Tillie Mandelbaum)",female,39,1,1,110413,79.65,E67,S +560,1,3,"de Messemaeker, Mrs. Guillaume Joseph (Emma)",female,36,1,0,345572,17.4,,S +561,0,3,"Morrow, Mr. Thomas Rowan",male,,0,0,372622,7.75,,Q +562,0,3,"Sivic, Mr. Husein",male,40,0,0,349251,7.8958,,S +563,0,2,"Norman, Mr. Robert Douglas",male,28,0,0,218629,13.5,,S +564,0,3,"Simmons, Mr. John",male,,0,0,SOTON/OQ 392082,8.05,,S +565,0,3,"Meanwell, Miss. (Marion Ogden)",female,,0,0,SOTON/O.Q. 392087,8.05,,S +566,0,3,"Davies, Mr. Alfred J",male,24,2,0,A/4 48871,24.15,,S +567,0,3,"Stoytcheff, Mr. Ilia",male,19,0,0,349205,7.8958,,S +568,0,3,"Palsson, Mrs. Nils (Alma Cornelia Berglund)",female,29,0,4,349909,21.075,,S +569,0,3,"Doharr, Mr. Tannous",male,,0,0,2686,7.2292,,C +570,1,3,"Jonsson, Mr. Carl",male,32,0,0,350417,7.8542,,S +571,1,2,"Harris, Mr. George",male,62,0,0,S.W./PP 752,10.5,,S +572,1,1,"Appleton, Mrs. Edward Dale (Charlotte Lamson)",female,53,2,0,11769,51.4792,C101,S +573,1,1,"Flynn, Mr. John Irwin (""Irving"")",male,36,0,0,PC 17474,26.3875,E25,S +574,1,3,"Kelly, Miss. Mary",female,,0,0,14312,7.75,,Q +575,0,3,"Rush, Mr. Alfred George John",male,16,0,0,A/4. 20589,8.05,,S +576,0,3,"Patchett, Mr. George",male,19,0,0,358585,14.5,,S +577,1,2,"Garside, Miss. Ethel",female,34,0,0,243880,13,,S +578,1,1,"Silvey, Mrs. William Baird (Alice Munger)",female,39,1,0,13507,55.9,E44,S +579,0,3,"Caram, Mrs. Joseph (Maria Elias)",female,,1,0,2689,14.4583,,C +580,1,3,"Jussila, Mr. Eiriik",male,32,0,0,STON/O 2. 3101286,7.925,,S +581,1,2,"Christy, Miss. Julie Rachel",female,25,1,1,237789,30,,S +582,1,1,"Thayer, Mrs. John Borland (Marian Longstreth Morris)",female,39,1,1,17421,110.8833,C68,C +583,0,2,"Downton, Mr. William James",male,54,0,0,28403,26,,S +584,0,1,"Ross, Mr. John Hugo",male,36,0,0,13049,40.125,A10,C +585,0,3,"Paulner, Mr. Uscher",male,,0,0,3411,8.7125,,C +586,1,1,"Taussig, Miss. Ruth",female,18,0,2,110413,79.65,E68,S +587,0,2,"Jarvis, Mr. John Denzil",male,47,0,0,237565,15,,S +588,1,1,"Frolicher-Stehli, Mr. Maxmillian",male,60,1,1,13567,79.2,B41,C +589,0,3,"Gilinski, Mr. Eliezer",male,22,0,0,14973,8.05,,S +590,0,3,"Murdlin, Mr. Joseph",male,,0,0,A./5. 3235,8.05,,S +591,0,3,"Rintamaki, Mr. Matti",male,35,0,0,STON/O 2. 3101273,7.125,,S +592,1,1,"Stephenson, Mrs. Walter Bertram (Martha Eustis)",female,52,1,0,36947,78.2667,D20,C +593,0,3,"Elsbury, Mr. William James",male,47,0,0,A/5 3902,7.25,,S +594,0,3,"Bourke, Miss. Mary",female,,0,2,364848,7.75,,Q +595,0,2,"Chapman, Mr. John Henry",male,37,1,0,SC/AH 29037,26,,S +596,0,3,"Van Impe, Mr. Jean Baptiste",male,36,1,1,345773,24.15,,S +597,1,2,"Leitch, Miss. Jessie Wills",female,,0,0,248727,33,,S +598,0,3,"Johnson, Mr. Alfred",male,49,0,0,LINE,0,,S +599,0,3,"Boulos, Mr. Hanna",male,,0,0,2664,7.225,,C +600,1,1,"Duff Gordon, Sir. Cosmo Edmund (""Mr Morgan"")",male,49,1,0,PC 17485,56.9292,A20,C +601,1,2,"Jacobsohn, Mrs. Sidney Samuel (Amy Frances Christy)",female,24,2,1,243847,27,,S +602,0,3,"Slabenoff, Mr. Petco",male,,0,0,349214,7.8958,,S +603,0,1,"Harrington, Mr. Charles H",male,,0,0,113796,42.4,,S +604,0,3,"Torber, Mr. Ernst William",male,44,0,0,364511,8.05,,S +605,1,1,"Homer, Mr. Harry (""Mr E Haven"")",male,35,0,0,111426,26.55,,C +606,0,3,"Lindell, Mr. Edvard Bengtsson",male,36,1,0,349910,15.55,,S +607,0,3,"Karaic, Mr. Milan",male,30,0,0,349246,7.8958,,S +608,1,1,"Daniel, Mr. Robert Williams",male,27,0,0,113804,30.5,,S +609,1,2,"Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)",female,22,1,2,SC/Paris 2123,41.5792,,C +610,1,1,"Shutes, Miss. Elizabeth W",female,40,0,0,PC 17582,153.4625,C125,S +611,0,3,"Andersson, Mrs. Anders Johan (Alfrida Konstantia Brogren)",female,39,1,5,347082,31.275,,S +612,0,3,"Jardin, Mr. Jose Neto",male,,0,0,SOTON/O.Q. 3101305,7.05,,S +613,1,3,"Murphy, Miss. Margaret Jane",female,,1,0,367230,15.5,,Q +614,0,3,"Horgan, Mr. John",male,,0,0,370377,7.75,,Q +615,0,3,"Brocklebank, Mr. William Alfred",male,35,0,0,364512,8.05,,S +616,1,2,"Herman, Miss. Alice",female,24,1,2,220845,65,,S +617,0,3,"Danbom, Mr. Ernst Gilbert",male,34,1,1,347080,14.4,,S +618,0,3,"Lobb, Mrs. William Arthur (Cordelia K Stanlick)",female,26,1,0,A/5. 3336,16.1,,S +619,1,2,"Becker, Miss. Marion Louise",female,4,2,1,230136,39,F4,S +620,0,2,"Gavey, Mr. Lawrence",male,26,0,0,31028,10.5,,S +621,0,3,"Yasbeck, Mr. Antoni",male,27,1,0,2659,14.4542,,C +622,1,1,"Kimball, Mr. Edwin Nelson Jr",male,42,1,0,11753,52.5542,D19,S +623,1,3,"Nakid, Mr. Sahid",male,20,1,1,2653,15.7417,,C +624,0,3,"Hansen, Mr. Henry Damsgaard",male,21,0,0,350029,7.8542,,S +625,0,3,"Bowen, Mr. David John ""Dai""",male,21,0,0,54636,16.1,,S +626,0,1,"Sutton, Mr. Frederick",male,61,0,0,36963,32.3208,D50,S +627,0,2,"Kirkland, Rev. Charles Leonard",male,57,0,0,219533,12.35,,Q +628,1,1,"Longley, Miss. Gretchen Fiske",female,21,0,0,13502,77.9583,D9,S +629,0,3,"Bostandyeff, Mr. Guentcho",male,26,0,0,349224,7.8958,,S +630,0,3,"O'Connell, Mr. Patrick D",male,,0,0,334912,7.7333,,Q +631,1,1,"Barkworth, Mr. Algernon Henry Wilson",male,80,0,0,27042,30,A23,S +632,0,3,"Lundahl, Mr. Johan Svensson",male,51,0,0,347743,7.0542,,S +633,1,1,"Stahelin-Maeglin, Dr. Max",male,32,0,0,13214,30.5,B50,C +634,0,1,"Parr, Mr. William Henry Marsh",male,,0,0,112052,0,,S +635,0,3,"Skoog, Miss. Mabel",female,9,3,2,347088,27.9,,S +636,1,2,"Davis, Miss. Mary",female,28,0,0,237668,13,,S +637,0,3,"Leinonen, Mr. Antti Gustaf",male,32,0,0,STON/O 2. 3101292,7.925,,S +638,0,2,"Collyer, Mr. Harvey",male,31,1,1,C.A. 31921,26.25,,S +639,0,3,"Panula, Mrs. Juha (Maria Emilia Ojala)",female,41,0,5,3101295,39.6875,,S +640,0,3,"Thorneycroft, Mr. Percival",male,,1,0,376564,16.1,,S +641,0,3,"Jensen, Mr. Hans Peder",male,20,0,0,350050,7.8542,,S +642,1,1,"Sagesser, Mlle. Emma",female,24,0,0,PC 17477,69.3,B35,C +643,0,3,"Skoog, Miss. Margit Elizabeth",female,2,3,2,347088,27.9,,S +644,1,3,"Foo, Mr. Choong",male,,0,0,1601,56.4958,,S +645,1,3,"Baclini, Miss. Eugenie",female,0.75,2,1,2666,19.2583,,C +646,1,1,"Harper, Mr. Henry Sleeper",male,48,1,0,PC 17572,76.7292,D33,C +647,0,3,"Cor, Mr. Liudevit",male,19,0,0,349231,7.8958,,S +648,1,1,"Simonius-Blumer, Col. Oberst Alfons",male,56,0,0,13213,35.5,A26,C +649,0,3,"Willey, Mr. Edward",male,,0,0,S.O./P.P. 751,7.55,,S +650,1,3,"Stanley, Miss. Amy Zillah Elsie",female,23,0,0,CA. 2314,7.55,,S +651,0,3,"Mitkoff, Mr. Mito",male,,0,0,349221,7.8958,,S +652,1,2,"Doling, Miss. Elsie",female,18,0,1,231919,23,,S +653,0,3,"Kalvik, Mr. Johannes Halvorsen",male,21,0,0,8475,8.4333,,S +654,1,3,"O'Leary, Miss. Hanora ""Norah""",female,,0,0,330919,7.8292,,Q +655,0,3,"Hegarty, Miss. Hanora ""Nora""",female,18,0,0,365226,6.75,,Q +656,0,2,"Hickman, Mr. Leonard Mark",male,24,2,0,S.O.C. 14879,73.5,,S +657,0,3,"Radeff, Mr. Alexander",male,,0,0,349223,7.8958,,S +658,0,3,"Bourke, Mrs. John (Catherine)",female,32,1,1,364849,15.5,,Q +659,0,2,"Eitemiller, Mr. George Floyd",male,23,0,0,29751,13,,S +660,0,1,"Newell, Mr. Arthur Webster",male,58,0,2,35273,113.275,D48,C +661,1,1,"Frauenthal, Dr. Henry William",male,50,2,0,PC 17611,133.65,,S +662,0,3,"Badt, Mr. Mohamed",male,40,0,0,2623,7.225,,C +663,0,1,"Colley, Mr. Edward Pomeroy",male,47,0,0,5727,25.5875,E58,S +664,0,3,"Coleff, Mr. Peju",male,36,0,0,349210,7.4958,,S +665,1,3,"Lindqvist, Mr. Eino William",male,20,1,0,STON/O 2. 3101285,7.925,,S +666,0,2,"Hickman, Mr. Lewis",male,32,2,0,S.O.C. 14879,73.5,,S +667,0,2,"Butler, Mr. Reginald Fenton",male,25,0,0,234686,13,,S +668,0,3,"Rommetvedt, Mr. Knud Paust",male,,0,0,312993,7.775,,S +669,0,3,"Cook, Mr. Jacob",male,43,0,0,A/5 3536,8.05,,S +670,1,1,"Taylor, Mrs. Elmer Zebley (Juliet Cummins Wright)",female,,1,0,19996,52,C126,S +671,1,2,"Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)",female,40,1,1,29750,39,,S +672,0,1,"Davidson, Mr. Thornton",male,31,1,0,F.C. 12750,52,B71,S +673,0,2,"Mitchell, Mr. Henry Michael",male,70,0,0,C.A. 24580,10.5,,S +674,1,2,"Wilhelms, Mr. Charles",male,31,0,0,244270,13,,S +675,0,2,"Watson, Mr. Ennis Hastings",male,,0,0,239856,0,,S +676,0,3,"Edvardsson, Mr. Gustaf Hjalmar",male,18,0,0,349912,7.775,,S +677,0,3,"Sawyer, Mr. Frederick Charles",male,24.5,0,0,342826,8.05,,S +678,1,3,"Turja, Miss. Anna Sofia",female,18,0,0,4138,9.8417,,S +679,0,3,"Goodwin, Mrs. Frederick (Augusta Tyler)",female,43,1,6,CA 2144,46.9,,S +680,1,1,"Cardeza, Mr. Thomas Drake Martinez",male,36,0,1,PC 17755,512.3292,B51 B53 B55,C +681,0,3,"Peters, Miss. Katie",female,,0,0,330935,8.1375,,Q +682,1,1,"Hassab, Mr. Hammad",male,27,0,0,PC 17572,76.7292,D49,C +683,0,3,"Olsvigen, Mr. Thor Anderson",male,20,0,0,6563,9.225,,S +684,0,3,"Goodwin, Mr. Charles Edward",male,14,5,2,CA 2144,46.9,,S +685,0,2,"Brown, Mr. Thomas William Solomon",male,60,1,1,29750,39,,S +686,0,2,"Laroche, Mr. Joseph Philippe Lemercier",male,25,1,2,SC/Paris 2123,41.5792,,C +687,0,3,"Panula, Mr. Jaako Arnold",male,14,4,1,3101295,39.6875,,S +688,0,3,"Dakic, Mr. Branko",male,19,0,0,349228,10.1708,,S +689,0,3,"Fischer, Mr. Eberhard Thelander",male,18,0,0,350036,7.7958,,S +690,1,1,"Madill, Miss. Georgette Alexandra",female,15,0,1,24160,211.3375,B5,S +691,1,1,"Dick, Mr. Albert Adrian",male,31,1,0,17474,57,B20,S +692,1,3,"Karun, Miss. Manca",female,4,0,1,349256,13.4167,,C +693,1,3,"Lam, Mr. Ali",male,,0,0,1601,56.4958,,S +694,0,3,"Saad, Mr. Khalil",male,25,0,0,2672,7.225,,C +695,0,1,"Weir, Col. John",male,60,0,0,113800,26.55,,S +696,0,2,"Chapman, Mr. Charles Henry",male,52,0,0,248731,13.5,,S +697,0,3,"Kelly, Mr. James",male,44,0,0,363592,8.05,,S +698,1,3,"Mullens, Miss. Katherine ""Katie""",female,,0,0,35852,7.7333,,Q +699,0,1,"Thayer, Mr. John Borland",male,49,1,1,17421,110.8833,C68,C +700,0,3,"Humblen, Mr. Adolf Mathias Nicolai Olsen",male,42,0,0,348121,7.65,F G63,S +701,1,1,"Astor, Mrs. John Jacob (Madeleine Talmadge Force)",female,18,1,0,PC 17757,227.525,C62 C64,C +702,1,1,"Silverthorne, Mr. Spencer Victor",male,35,0,0,PC 17475,26.2875,E24,S +703,0,3,"Barbara, Miss. Saiide",female,18,0,1,2691,14.4542,,C +704,0,3,"Gallagher, Mr. Martin",male,25,0,0,36864,7.7417,,Q +705,0,3,"Hansen, Mr. Henrik Juul",male,26,1,0,350025,7.8542,,S +706,0,2,"Morley, Mr. Henry Samuel (""Mr Henry Marshall"")",male,39,0,0,250655,26,,S +707,1,2,"Kelly, Mrs. Florence ""Fannie""",female,45,0,0,223596,13.5,,S +708,1,1,"Calderhead, Mr. Edward Pennington",male,42,0,0,PC 17476,26.2875,E24,S +709,1,1,"Cleaver, Miss. Alice",female,22,0,0,113781,151.55,,S +710,1,3,"Moubarek, Master. Halim Gonios (""William George"")",male,,1,1,2661,15.2458,,C +711,1,1,"Mayne, Mlle. Berthe Antonine (""Mrs de Villiers"")",female,24,0,0,PC 17482,49.5042,C90,C +712,0,1,"Klaber, Mr. Herman",male,,0,0,113028,26.55,C124,S +713,1,1,"Taylor, Mr. Elmer Zebley",male,48,1,0,19996,52,C126,S +714,0,3,"Larsson, Mr. August Viktor",male,29,0,0,7545,9.4833,,S +715,0,2,"Greenberg, Mr. Samuel",male,52,0,0,250647,13,,S +716,0,3,"Soholt, Mr. Peter Andreas Lauritz Andersen",male,19,0,0,348124,7.65,F G73,S +717,1,1,"Endres, Miss. Caroline Louise",female,38,0,0,PC 17757,227.525,C45,C +718,1,2,"Troutt, Miss. Edwina Celia ""Winnie""",female,27,0,0,34218,10.5,E101,S +719,0,3,"McEvoy, Mr. Michael",male,,0,0,36568,15.5,,Q +720,0,3,"Johnson, Mr. Malkolm Joackim",male,33,0,0,347062,7.775,,S +721,1,2,"Harper, Miss. Annie Jessie ""Nina""",female,6,0,1,248727,33,,S +722,0,3,"Jensen, Mr. Svend Lauritz",male,17,1,0,350048,7.0542,,S +723,0,2,"Gillespie, Mr. William Henry",male,34,0,0,12233,13,,S +724,0,2,"Hodges, Mr. Henry Price",male,50,0,0,250643,13,,S +725,1,1,"Chambers, Mr. Norman Campbell",male,27,1,0,113806,53.1,E8,S +726,0,3,"Oreskovic, Mr. Luka",male,20,0,0,315094,8.6625,,S +727,1,2,"Renouf, Mrs. Peter Henry (Lillian Jefferys)",female,30,3,0,31027,21,,S +728,1,3,"Mannion, Miss. Margareth",female,,0,0,36866,7.7375,,Q +729,0,2,"Bryhl, Mr. Kurt Arnold Gottfrid",male,25,1,0,236853,26,,S +730,0,3,"Ilmakangas, Miss. Pieta Sofia",female,25,1,0,STON/O2. 3101271,7.925,,S +731,1,1,"Allen, Miss. Elisabeth Walton",female,29,0,0,24160,211.3375,B5,S +732,0,3,"Hassan, Mr. Houssein G N",male,11,0,0,2699,18.7875,,C +733,0,2,"Knight, Mr. Robert J",male,,0,0,239855,0,,S +734,0,2,"Berriman, Mr. William John",male,23,0,0,28425,13,,S +735,0,2,"Troupiansky, Mr. Moses Aaron",male,23,0,0,233639,13,,S +736,0,3,"Williams, Mr. Leslie",male,28.5,0,0,54636,16.1,,S +737,0,3,"Ford, Mrs. Edward (Margaret Ann Watson)",female,48,1,3,W./C. 6608,34.375,,S +738,1,1,"Lesurer, Mr. Gustave J",male,35,0,0,PC 17755,512.3292,B101,C +739,0,3,"Ivanoff, Mr. Kanio",male,,0,0,349201,7.8958,,S +740,0,3,"Nankoff, Mr. Minko",male,,0,0,349218,7.8958,,S +741,1,1,"Hawksford, Mr. Walter James",male,,0,0,16988,30,D45,S +742,0,1,"Cavendish, Mr. Tyrell William",male,36,1,0,19877,78.85,C46,S +743,1,1,"Ryerson, Miss. Susan Parker ""Suzette""",female,21,2,2,PC 17608,262.375,B57 B59 B63 B66,C +744,0,3,"McNamee, Mr. Neal",male,24,1,0,376566,16.1,,S +745,1,3,"Stranden, Mr. Juho",male,31,0,0,STON/O 2. 3101288,7.925,,S +746,0,1,"Crosby, Capt. Edward Gifford",male,70,1,1,WE/P 5735,71,B22,S +747,0,3,"Abbott, Mr. Rossmore Edward",male,16,1,1,C.A. 2673,20.25,,S +748,1,2,"Sinkkonen, Miss. Anna",female,30,0,0,250648,13,,S +749,0,1,"Marvin, Mr. Daniel Warner",male,19,1,0,113773,53.1,D30,S +750,0,3,"Connaghton, Mr. Michael",male,31,0,0,335097,7.75,,Q +751,1,2,"Wells, Miss. Joan",female,4,1,1,29103,23,,S +752,1,3,"Moor, Master. Meier",male,6,0,1,392096,12.475,E121,S +753,0,3,"Vande Velde, Mr. Johannes Joseph",male,33,0,0,345780,9.5,,S +754,0,3,"Jonkoff, Mr. Lalio",male,23,0,0,349204,7.8958,,S +755,1,2,"Herman, Mrs. Samuel (Jane Laver)",female,48,1,2,220845,65,,S +756,1,2,"Hamalainen, Master. Viljo",male,0.67,1,1,250649,14.5,,S +757,0,3,"Carlsson, Mr. August Sigfrid",male,28,0,0,350042,7.7958,,S +758,0,2,"Bailey, Mr. Percy Andrew",male,18,0,0,29108,11.5,,S +759,0,3,"Theobald, Mr. Thomas Leonard",male,34,0,0,363294,8.05,,S +760,1,1,"Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)",female,33,0,0,110152,86.5,B77,S +761,0,3,"Garfirth, Mr. John",male,,0,0,358585,14.5,,S +762,0,3,"Nirva, Mr. Iisakki Antino Aijo",male,41,0,0,SOTON/O2 3101272,7.125,,S +763,1,3,"Barah, Mr. Hanna Assi",male,20,0,0,2663,7.2292,,C +764,1,1,"Carter, Mrs. William Ernest (Lucile Polk)",female,36,1,2,113760,120,B96 B98,S +765,0,3,"Eklund, Mr. Hans Linus",male,16,0,0,347074,7.775,,S +766,1,1,"Hogeboom, Mrs. John C (Anna Andrews)",female,51,1,0,13502,77.9583,D11,S +767,0,1,"Brewe, Dr. Arthur Jackson",male,,0,0,112379,39.6,,C +768,0,3,"Mangan, Miss. Mary",female,30.5,0,0,364850,7.75,,Q +769,0,3,"Moran, Mr. Daniel J",male,,1,0,371110,24.15,,Q +770,0,3,"Gronnestad, Mr. Daniel Danielsen",male,32,0,0,8471,8.3625,,S +771,0,3,"Lievens, Mr. Rene Aime",male,24,0,0,345781,9.5,,S +772,0,3,"Jensen, Mr. Niels Peder",male,48,0,0,350047,7.8542,,S +773,0,2,"Mack, Mrs. (Mary)",female,57,0,0,S.O./P.P. 3,10.5,E77,S +774,0,3,"Elias, Mr. Dibo",male,,0,0,2674,7.225,,C +775,1,2,"Hocking, Mrs. Elizabeth (Eliza Needs)",female,54,1,3,29105,23,,S +776,0,3,"Myhrman, Mr. Pehr Fabian Oliver Malkolm",male,18,0,0,347078,7.75,,S +777,0,3,"Tobin, Mr. Roger",male,,0,0,383121,7.75,F38,Q +778,1,3,"Emanuel, Miss. Virginia Ethel",female,5,0,0,364516,12.475,,S +779,0,3,"Kilgannon, Mr. Thomas J",male,,0,0,36865,7.7375,,Q +780,1,1,"Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)",female,43,0,1,24160,211.3375,B3,S +781,1,3,"Ayoub, Miss. Banoura",female,13,0,0,2687,7.2292,,C +782,1,1,"Dick, Mrs. Albert Adrian (Vera Gillespie)",female,17,1,0,17474,57,B20,S +783,0,1,"Long, Mr. Milton Clyde",male,29,0,0,113501,30,D6,S +784,0,3,"Johnston, Mr. Andrew G",male,,1,2,W./C. 6607,23.45,,S +785,0,3,"Ali, Mr. William",male,25,0,0,SOTON/O.Q. 3101312,7.05,,S +786,0,3,"Harmer, Mr. Abraham (David Lishin)",male,25,0,0,374887,7.25,,S +787,1,3,"Sjoblom, Miss. Anna Sofia",female,18,0,0,3101265,7.4958,,S +788,0,3,"Rice, Master. George Hugh",male,8,4,1,382652,29.125,,Q +789,1,3,"Dean, Master. Bertram Vere",male,1,1,2,C.A. 2315,20.575,,S +790,0,1,"Guggenheim, Mr. Benjamin",male,46,0,0,PC 17593,79.2,B82 B84,C +791,0,3,"Keane, Mr. Andrew ""Andy""",male,,0,0,12460,7.75,,Q +792,0,2,"Gaskell, Mr. Alfred",male,16,0,0,239865,26,,S +793,0,3,"Sage, Miss. Stella Anna",female,,8,2,CA. 2343,69.55,,S +794,0,1,"Hoyt, Mr. William Fisher",male,,0,0,PC 17600,30.6958,,C +795,0,3,"Dantcheff, Mr. Ristiu",male,25,0,0,349203,7.8958,,S +796,0,2,"Otter, Mr. Richard",male,39,0,0,28213,13,,S +797,1,1,"Leader, Dr. Alice (Farnham)",female,49,0,0,17465,25.9292,D17,S +798,1,3,"Osman, Mrs. Mara",female,31,0,0,349244,8.6833,,S +799,0,3,"Ibrahim Shawah, Mr. Yousseff",male,30,0,0,2685,7.2292,,C +800,0,3,"Van Impe, Mrs. Jean Baptiste (Rosalie Paula Govaert)",female,30,1,1,345773,24.15,,S +801,0,2,"Ponesell, Mr. Martin",male,34,0,0,250647,13,,S +802,1,2,"Collyer, Mrs. Harvey (Charlotte Annie Tate)",female,31,1,1,C.A. 31921,26.25,,S +803,1,1,"Carter, Master. William Thornton II",male,11,1,2,113760,120,B96 B98,S +804,1,3,"Thomas, Master. Assad Alexander",male,0.42,0,1,2625,8.5167,,C +805,1,3,"Hedman, Mr. Oskar Arvid",male,27,0,0,347089,6.975,,S +806,0,3,"Johansson, Mr. Karl Johan",male,31,0,0,347063,7.775,,S +807,0,1,"Andrews, Mr. Thomas Jr",male,39,0,0,112050,0,A36,S +808,0,3,"Pettersson, Miss. Ellen Natalia",female,18,0,0,347087,7.775,,S +809,0,2,"Meyer, Mr. August",male,39,0,0,248723,13,,S +810,1,1,"Chambers, Mrs. Norman Campbell (Bertha Griggs)",female,33,1,0,113806,53.1,E8,S +811,0,3,"Alexander, Mr. William",male,26,0,0,3474,7.8875,,S +812,0,3,"Lester, Mr. James",male,39,0,0,A/4 48871,24.15,,S +813,0,2,"Slemen, Mr. Richard James",male,35,0,0,28206,10.5,,S +814,0,3,"Andersson, Miss. Ebba Iris Alfrida",female,6,4,2,347082,31.275,,S +815,0,3,"Tomlin, Mr. Ernest Portage",male,30.5,0,0,364499,8.05,,S +816,0,1,"Fry, Mr. Richard",male,,0,0,112058,0,B102,S +817,0,3,"Heininen, Miss. Wendla Maria",female,23,0,0,STON/O2. 3101290,7.925,,S +818,0,2,"Mallet, Mr. Albert",male,31,1,1,S.C./PARIS 2079,37.0042,,C +819,0,3,"Holm, Mr. John Fredrik Alexander",male,43,0,0,C 7075,6.45,,S +820,0,3,"Skoog, Master. Karl Thorsten",male,10,3,2,347088,27.9,,S +821,1,1,"Hays, Mrs. Charles Melville (Clara Jennings Gregg)",female,52,1,1,12749,93.5,B69,S +822,1,3,"Lulic, Mr. Nikola",male,27,0,0,315098,8.6625,,S +823,0,1,"Reuchlin, Jonkheer. John George",male,38,0,0,19972,0,,S +824,1,3,"Moor, Mrs. (Beila)",female,27,0,1,392096,12.475,E121,S +825,0,3,"Panula, Master. Urho Abraham",male,2,4,1,3101295,39.6875,,S +826,0,3,"Flynn, Mr. John",male,,0,0,368323,6.95,,Q +827,0,3,"Lam, Mr. Len",male,,0,0,1601,56.4958,,S +828,1,2,"Mallet, Master. Andre",male,1,0,2,S.C./PARIS 2079,37.0042,,C +829,1,3,"McCormack, Mr. Thomas Joseph",male,,0,0,367228,7.75,,Q +830,1,1,"Stone, Mrs. George Nelson (Martha Evelyn)",female,62,0,0,113572,80,B28, +831,1,3,"Yasbeck, Mrs. Antoni (Selini Alexander)",female,15,1,0,2659,14.4542,,C +832,1,2,"Richards, Master. George Sibley",male,0.83,1,1,29106,18.75,,S +833,0,3,"Saad, Mr. Amin",male,,0,0,2671,7.2292,,C +834,0,3,"Augustsson, Mr. Albert",male,23,0,0,347468,7.8542,,S +835,0,3,"Allum, Mr. Owen George",male,18,0,0,2223,8.3,,S +836,1,1,"Compton, Miss. Sara Rebecca",female,39,1,1,PC 17756,83.1583,E49,C +837,0,3,"Pasic, Mr. Jakob",male,21,0,0,315097,8.6625,,S +838,0,3,"Sirota, Mr. Maurice",male,,0,0,392092,8.05,,S +839,1,3,"Chip, Mr. Chang",male,32,0,0,1601,56.4958,,S +840,1,1,"Marechal, Mr. Pierre",male,,0,0,11774,29.7,C47,C +841,0,3,"Alhomaki, Mr. Ilmari Rudolf",male,20,0,0,SOTON/O2 3101287,7.925,,S +842,0,2,"Mudd, Mr. Thomas Charles",male,16,0,0,S.O./P.P. 3,10.5,,S +843,1,1,"Serepeca, Miss. Augusta",female,30,0,0,113798,31,,C +844,0,3,"Lemberopolous, Mr. Peter L",male,34.5,0,0,2683,6.4375,,C +845,0,3,"Culumovic, Mr. Jeso",male,17,0,0,315090,8.6625,,S +846,0,3,"Abbing, Mr. Anthony",male,42,0,0,C.A. 5547,7.55,,S +847,0,3,"Sage, Mr. Douglas Bullen",male,,8,2,CA. 2343,69.55,,S +848,0,3,"Markoff, Mr. Marin",male,35,0,0,349213,7.8958,,C +849,0,2,"Harper, Rev. John",male,28,0,1,248727,33,,S +850,1,1,"Goldenberg, Mrs. Samuel L (Edwiga Grabowska)",female,,1,0,17453,89.1042,C92,C +851,0,3,"Andersson, Master. Sigvard Harald Elias",male,4,4,2,347082,31.275,,S +852,0,3,"Svensson, Mr. Johan",male,74,0,0,347060,7.775,,S +853,0,3,"Boulos, Miss. Nourelain",female,9,1,1,2678,15.2458,,C +854,1,1,"Lines, Miss. Mary Conover",female,16,0,1,PC 17592,39.4,D28,S +855,0,2,"Carter, Mrs. Ernest Courtenay (Lilian Hughes)",female,44,1,0,244252,26,,S +856,1,3,"Aks, Mrs. Sam (Leah Rosen)",female,18,0,1,392091,9.35,,S +857,1,1,"Wick, Mrs. George Dennick (Mary Hitchcock)",female,45,1,1,36928,164.8667,,S +858,1,1,"Daly, Mr. Peter Denis ",male,51,0,0,113055,26.55,E17,S +859,1,3,"Baclini, Mrs. Solomon (Latifa Qurban)",female,24,0,3,2666,19.2583,,C +860,0,3,"Razi, Mr. Raihed",male,,0,0,2629,7.2292,,C +861,0,3,"Hansen, Mr. Claus Peter",male,41,2,0,350026,14.1083,,S +862,0,2,"Giles, Mr. Frederick Edward",male,21,1,0,28134,11.5,,S +863,1,1,"Swift, Mrs. Frederick Joel (Margaret Welles Barron)",female,48,0,0,17466,25.9292,D17,S +864,0,3,"Sage, Miss. Dorothy Edith ""Dolly""",female,,8,2,CA. 2343,69.55,,S +865,0,2,"Gill, Mr. John William",male,24,0,0,233866,13,,S +866,1,2,"Bystrom, Mrs. (Karolina)",female,42,0,0,236852,13,,S +867,1,2,"Duran y More, Miss. Asuncion",female,27,1,0,SC/PARIS 2149,13.8583,,C +868,0,1,"Roebling, Mr. Washington Augustus II",male,31,0,0,PC 17590,50.4958,A24,S +869,0,3,"van Melkebeke, Mr. Philemon",male,,0,0,345777,9.5,,S +870,1,3,"Johnson, Master. Harold Theodor",male,4,1,1,347742,11.1333,,S +871,0,3,"Balkic, Mr. Cerin",male,26,0,0,349248,7.8958,,S +872,1,1,"Beckwith, Mrs. Richard Leonard (Sallie Monypeny)",female,47,1,1,11751,52.5542,D35,S +873,0,1,"Carlsson, Mr. Frans Olof",male,33,0,0,695,5,B51 B53 B55,S +874,0,3,"Vander Cruyssen, Mr. Victor",male,47,0,0,345765,9,,S +875,1,2,"Abelson, Mrs. Samuel (Hannah Wizosky)",female,28,1,0,P/PP 3381,24,,C +876,1,3,"Najib, Miss. Adele Kiamie ""Jane""",female,15,0,0,2667,7.225,,C +877,0,3,"Gustafsson, Mr. Alfred Ossian",male,20,0,0,7534,9.8458,,S +878,0,3,"Petroff, Mr. Nedelio",male,19,0,0,349212,7.8958,,S +879,0,3,"Laleff, Mr. Kristo",male,,0,0,349217,7.8958,,S +880,1,1,"Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)",female,56,0,1,11767,83.1583,C50,C +881,1,2,"Shelley, Mrs. William (Imanita Parrish Hall)",female,25,0,1,230433,26,,S +882,0,3,"Markun, Mr. Johann",male,33,0,0,349257,7.8958,,S +883,0,3,"Dahlberg, Miss. Gerda Ulrika",female,22,0,0,7552,10.5167,,S +884,0,2,"Banfield, Mr. Frederick James",male,28,0,0,C.A./SOTON 34068,10.5,,S +885,0,3,"Sutehall, Mr. Henry Jr",male,25,0,0,SOTON/OQ 392076,7.05,,S +886,0,3,"Rice, Mrs. William (Margaret Norton)",female,39,0,5,382652,29.125,,Q +887,0,2,"Montvila, Rev. Juozas",male,27,0,0,211536,13,,S +888,1,1,"Graham, Miss. Margaret Edith",female,19,0,0,112053,30,B42,S +889,0,3,"Johnston, Miss. Catherine Helen ""Carrie""",female,,1,2,W./C. 6607,23.45,,S +890,1,1,"Behr, Mr. Karl Howell",male,26,0,0,111369,30,C148,C +891,0,3,"Dooley, Mr. Patrick",male,32,0,0,370376,7.75,,Q diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/u.data b/appkits/qpyapp/src/qpynotes/topics/pandas/data/u.data new file mode 100755 index 0000000..16ef21e --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/u.data @@ -0,0 +1,100000 @@ +196 242 3 881250949 +186 302 3 891717742 +22 377 1 878887116 +244 51 2 880606923 +166 346 1 886397596 +298 474 4 884182806 +115 265 2 881171488 +253 465 5 891628467 +305 451 3 886324817 +6 86 3 883603013 +62 257 2 879372434 +286 1014 5 879781125 +200 222 5 876042340 +210 40 3 891035994 +224 29 3 888104457 +303 785 3 879485318 +122 387 5 879270459 +194 274 2 879539794 +291 1042 4 874834944 +234 1184 2 892079237 +119 392 4 886176814 +167 486 4 892738452 +299 144 4 877881320 +291 118 2 874833878 +308 1 4 887736532 +95 546 2 879196566 +38 95 5 892430094 +102 768 2 883748450 +63 277 4 875747401 +160 234 5 876861185 +50 246 3 877052329 +301 98 4 882075827 +225 193 4 879539727 +290 88 4 880731963 +97 194 3 884238860 +157 274 4 886890835 +181 1081 1 878962623 +278 603 5 891295330 +276 796 1 874791932 +7 32 4 891350932 +10 16 4 877888877 +284 304 4 885329322 +201 979 2 884114233 +276 564 3 874791805 +287 327 5 875333916 +246 201 5 884921594 +242 1137 5 879741196 +249 241 5 879641194 +99 4 5 886519097 +178 332 3 882823437 +251 100 4 886271884 +81 432 2 876535131 +260 322 4 890618898 +25 181 5 885853415 +59 196 5 888205088 +72 679 2 880037164 +87 384 4 879877127 +290 143 5 880474293 +42 423 5 881107687 +292 515 4 881103977 +115 20 3 881171009 +20 288 1 879667584 +201 219 4 884112673 +13 526 3 882141053 +246 919 4 884920949 +138 26 5 879024232 +167 232 1 892738341 +60 427 5 883326620 +57 304 5 883698581 +223 274 4 891550094 +189 512 4 893277702 +243 15 3 879987440 +92 1049 1 890251826 +246 416 3 884923047 +194 165 4 879546723 +241 690 2 887249482 +178 248 4 882823954 +254 1444 3 886475558 +293 5 3 888906576 +127 229 5 884364867 +225 237 5 879539643 +299 229 3 878192429 +225 480 5 879540748 +276 54 3 874791025 +291 144 5 874835091 +222 366 4 878183381 +267 518 5 878971773 +42 403 3 881108684 +11 111 4 891903862 +95 625 4 888954412 +8 338 4 879361873 +162 25 4 877635573 +87 1016 4 879876194 +279 154 5 875296291 +145 275 2 885557505 +119 1153 5 874781198 +62 498 4 879373848 +62 382 3 879375537 +28 209 4 881961214 +135 23 4 879857765 +32 294 3 883709863 +90 382 5 891383835 +286 208 4 877531942 +293 685 3 888905170 +216 144 4 880234639 +166 328 5 886397722 +250 496 4 878090499 +271 132 5 885848672 +160 174 5 876860807 +265 118 4 875320714 +198 498 3 884207492 +42 96 5 881107178 +168 151 5 884288058 +110 307 4 886987260 +58 144 4 884304936 +90 648 4 891384754 +271 346 4 885844430 +62 21 3 879373460 +279 832 3 881375854 +237 514 4 879376641 +94 789 4 891720887 +128 485 3 879966895 +298 317 4 884182806 +44 195 5 878347874 +264 200 5 886122352 +194 385 2 879524643 +72 195 5 880037702 +222 750 5 883815120 +250 264 3 878089182 +41 265 3 890687042 +224 245 3 888082216 +82 135 3 878769629 +262 1147 4 879791710 +293 471 3 888904884 +216 658 3 880245029 +250 140 3 878092059 +59 23 5 888205300 +286 379 5 877533771 +244 815 4 880605185 +7 479 4 891352010 +174 368 1 886434402 +87 274 4 879876734 +194 1211 2 879551380 +82 1134 2 884714402 +13 836 2 882139746 +13 272 4 884538403 +244 756 2 880605157 +305 427 5 886323090 +95 787 2 888954930 +43 14 2 883955745 +299 955 4 889502823 +57 419 3 883698454 +84 405 3 883452363 +269 504 4 891449922 +299 111 3 877878184 +194 466 4 879525876 +160 135 4 876860807 +99 268 3 885678247 +10 486 4 877886846 +259 117 4 874724988 +85 427 3 879456350 +303 919 4 879467295 +213 273 5 878870987 +121 514 3 891387947 +90 98 5 891383204 +49 559 2 888067405 +42 794 3 881108425 +155 323 2 879371261 +68 117 4 876973939 +172 177 4 875537965 +19 4 4 885412840 +268 231 4 875744136 +5 2 3 875636053 +305 117 2 886324028 +44 294 4 883612356 +43 137 4 875975656 +279 1336 1 875298353 +80 466 5 887401701 +254 164 4 886472768 +298 281 3 884183336 +279 1240 1 892174404 +66 298 4 883601324 +18 443 3 880130193 +268 1035 2 875542174 +99 79 4 885680138 +13 98 4 881515011 +26 258 3 891347949 +7 455 4 891353086 +222 755 4 878183481 +200 673 5 884128554 +119 328 4 876923913 +213 172 5 878955442 +276 322 3 874786392 +94 1217 3 891723086 +130 379 4 875801662 +38 328 4 892428688 +160 719 3 876857977 +293 1267 3 888906966 +26 930 2 891385985 +130 216 4 875216545 +92 1079 3 886443455 +256 452 4 882164999 +1 61 4 878542420 +72 48 4 880036718 +56 755 3 892910207 +13 360 4 882140926 +15 405 2 879455957 +92 77 3 875654637 +207 476 2 884386343 +292 174 5 881105481 +232 483 5 888549622 +251 748 2 886272175 +224 26 3 888104153 +181 220 4 878962392 +259 255 4 874724710 +305 471 4 886323648 +52 280 3 882922806 +161 202 5 891170769 +148 408 5 877399018 +125 235 2 892838559 +97 228 5 884238860 +58 1098 4 884304936 +83 234 4 887665548 +90 347 4 891383319 +272 178 5 879455113 +194 181 3 879521396 +125 478 4 879454628 +110 688 1 886987605 +299 14 4 877877775 +151 10 5 879524921 +269 127 4 891446165 +6 14 5 883599249 +54 106 3 880937882 +303 69 5 879467542 +16 944 1 877727122 +301 790 4 882078621 +276 1091 3 874793035 +305 214 2 886323068 +194 1028 2 879541148 +91 323 2 891438397 +87 554 4 879875940 +294 109 4 877819599 +286 171 4 877531791 +200 318 5 884128458 +229 328 1 891632142 +178 568 4 882826555 +303 842 2 879484804 +62 65 4 879374686 +207 591 3 876018608 +92 172 4 875653271 +301 401 4 882078040 +36 339 5 882157581 +70 746 3 884150257 +63 242 3 875747190 +28 201 3 881961671 +279 68 4 875307407 +250 7 4 878089716 +14 98 3 890881335 +299 1018 3 889502324 +194 54 3 879525876 +303 815 3 879485532 +119 237 5 874775038 +295 218 5 879966498 +268 930 2 875742942 +268 2 2 875744173 +66 258 4 883601089 +233 202 5 879394264 +83 623 4 880308578 +214 334 3 891542540 +192 476 2 881368243 +100 344 4 891374868 +268 145 1 875744501 +301 56 4 882076587 +307 89 5 879283786 +234 141 3 892334609 +83 576 4 880308755 +181 264 2 878961624 +297 133 4 875240090 +38 153 5 892430369 +7 382 4 891352093 +264 813 4 886122952 +181 872 1 878961814 +201 146 1 884140579 +85 507 4 879456199 +269 367 3 891450023 +59 468 3 888205855 +286 143 4 889651549 +193 96 1 889124507 +113 595 5 875936424 +292 11 5 881104093 +130 1014 3 876250718 +275 98 4 875155140 +189 520 5 893265380 +219 82 1 889452455 +218 209 5 877488546 +123 427 3 879873020 +119 222 5 874775311 +158 177 4 880134407 +222 118 4 877563802 +302 322 2 879436875 +279 501 3 875308843 +301 79 5 882076403 +181 3 2 878963441 +201 695 1 884140115 +13 198 3 881515193 +1 189 3 888732928 +145 237 5 875270570 +23 385 4 874786462 +201 767 4 884114505 +296 705 5 884197193 +42 546 3 881105817 +33 872 3 891964230 +301 554 3 882078830 +16 64 5 877720297 +95 135 3 879197562 +154 357 4 879138713 +77 484 5 884733766 +296 508 5 884196584 +302 303 2 879436785 +244 673 3 880606667 +222 77 4 878183616 +13 215 5 882140588 +16 705 5 877722736 +270 452 4 876956264 +145 15 2 875270655 +187 64 5 879465631 +200 304 5 876041644 +170 749 5 887646170 +101 829 3 877136138 +184 218 3 889909840 +128 204 4 879967478 +181 1295 1 878961781 +184 153 3 889911285 +1 33 4 878542699 +1 160 4 875072547 +184 321 5 889906967 +54 595 3 880937813 +94 343 4 891725009 +128 508 4 879967767 +23 323 2 874784266 +301 227 3 882077222 +301 191 3 882075672 +112 903 1 892440172 +82 183 3 878769848 +222 724 3 878181976 +218 430 3 877488316 +308 1197 4 887739521 +303 134 5 879467959 +133 751 3 890588547 +215 212 2 891435680 +69 256 5 882126156 +254 662 4 887347350 +276 2 4 874792436 +104 984 1 888442575 +63 1067 3 875747514 +267 410 4 878970785 +13 56 5 881515011 +240 879 3 885775745 +286 237 2 875806800 +294 271 5 889241426 +90 1086 4 891384424 +18 26 4 880129731 +92 229 3 875656201 +308 649 4 887739292 +144 89 3 888105691 +191 302 4 891560253 +59 951 3 888206409 +200 96 5 884129409 +16 197 5 877726146 +61 678 3 892302309 +271 199 4 885848448 +271 709 3 885849325 +142 169 5 888640356 +275 597 3 876197678 +222 151 3 878182109 +87 40 3 879876917 +207 258 4 877879172 +272 1393 2 879454663 +177 333 4 880130397 +207 1115 2 879664906 +299 577 3 889503806 +271 378 4 885849447 +305 425 4 886324486 +49 959 2 888068912 +94 1224 3 891722802 +130 1017 3 874953895 +10 175 3 877888677 +203 321 3 880433418 +191 286 4 891560842 +43 323 3 875975110 +21 558 5 874951695 +197 96 5 891409839 +13 344 2 888073635 +194 66 3 879527264 +234 206 4 892334543 +308 402 4 887740700 +308 640 4 887737036 +269 522 5 891447773 +94 265 4 891721889 +268 62 3 875310824 +272 12 5 879455254 +121 291 3 891390477 +296 20 5 884196921 +134 286 3 891732334 +180 462 5 877544218 +234 612 3 892079140 +104 117 2 888465972 +38 758 1 892434626 +269 845 1 891456255 +7 163 4 891353444 +234 1451 3 892078343 +275 405 2 876197645 +52 250 3 882922661 +102 823 3 888801465 +13 186 4 890704999 +178 731 4 882827532 +236 71 3 890116671 +256 781 5 882165296 +263 176 5 891299752 +244 186 3 880605697 +279 1181 4 875314001 +43 815 4 883956189 +83 78 2 880309089 +151 197 5 879528710 +254 436 2 886474216 +109 631 3 880579371 +297 716 3 875239422 +249 188 4 879641067 +144 699 4 888106106 +301 604 4 882075994 +64 392 3 889737542 +92 501 2 875653665 +222 97 4 878181739 +268 436 3 875310745 +293 135 5 888905550 +213 173 5 878955442 +160 460 2 876861185 +13 498 4 882139901 +59 715 5 888205921 +5 17 4 875636198 +125 163 5 879454956 +174 315 5 886432749 +114 505 3 881260203 +213 515 4 878870518 +23 196 2 874786926 +128 15 4 879968827 +239 56 4 889179478 +181 279 1 878962955 +291 80 4 875086354 +250 238 4 878089963 +201 649 3 884114275 +60 60 5 883327734 +181 325 2 878961814 +119 407 3 887038665 +287 1 5 875334088 +216 228 3 880245642 +216 531 4 880233810 +203 471 4 880434463 +92 587 3 875660408 +13 892 3 882774224 +213 176 4 878956338 +286 288 5 875806672 +117 1047 2 881009697 +99 111 1 885678886 +11 558 3 891904214 +65 47 2 879216672 +295 194 4 879517412 +269 217 2 891451610 +85 259 2 881705026 +250 596 5 878089921 +137 144 5 881433689 +201 960 2 884112077 +257 137 4 882049932 +111 328 4 891679939 +91 480 4 891438875 +215 211 4 891436202 +181 938 1 878961586 +189 1060 5 893264301 +1 20 4 887431883 +303 404 4 879468375 +299 305 3 879737314 +187 210 4 879465242 +222 278 2 877563913 +214 568 4 892668197 +293 770 3 888906655 +285 191 4 890595859 +303 252 3 879544791 +96 156 4 884402860 +72 1110 3 880037334 +115 1067 4 881171009 +7 430 3 891352178 +116 350 3 886977926 +73 480 4 888625753 +269 246 5 891457067 +263 419 5 891299514 +70 431 3 884150257 +221 475 4 875244204 +72 182 5 880036515 +25 357 4 885852757 +290 50 5 880473582 +189 526 4 893266205 +299 303 3 877618584 +264 294 3 886121516 +200 365 5 884129962 +187 135 4 879465653 +184 187 4 889909024 +63 289 2 875746985 +13 229 4 882397650 +298 486 3 884183063 +235 185 4 889655435 +62 712 4 879376178 +246 94 2 884923505 +54 742 5 880934806 +63 762 3 875747688 +11 732 3 891904596 +92 168 4 875653723 +8 550 3 879362356 +307 174 4 879283480 +303 200 4 879468459 +256 849 2 882164603 +72 54 3 880036854 +164 406 2 889402389 +117 150 4 880125101 +224 77 4 888103872 +193 869 3 889127811 +94 184 2 891720862 +281 338 2 881200457 +130 109 3 874953794 +128 371 1 879966954 +94 720 1 891723593 +182 845 3 885613067 +129 873 1 883245452 +254 229 4 886474580 +64 381 4 879365491 +151 176 2 879524293 +45 25 4 881014015 +193 879 3 889123257 +276 922 4 889174849 +276 57 3 874787526 +234 187 4 892079140 +181 306 1 878962006 +21 370 1 874951293 +293 249 3 888905229 +264 721 5 886123656 +10 611 5 877886722 +197 346 3 891409070 +276 142 3 874792945 +308 427 4 887736584 +221 943 4 875246759 +131 126 4 883681514 +268 824 2 876518557 +109 8 3 880572642 +198 58 3 884208173 +230 680 4 880484286 +181 741 1 878962918 +192 1061 4 881368891 +234 448 3 892335501 +90 900 4 891382309 +193 941 4 889124890 +128 603 5 879966839 +126 905 2 887855283 +244 265 4 880606634 +90 289 3 891382310 +157 25 3 886890787 +305 71 3 886323684 +119 382 5 874781742 +21 222 2 874951382 +231 181 4 888605273 +280 508 3 891700453 +288 132 3 886374129 +279 1497 2 890780576 +301 33 4 882078228 +72 699 3 880036783 +90 259 2 891382392 +308 55 3 887738760 +59 742 3 888203053 +94 744 4 891721462 +130 642 4 875216933 +26 1015 3 891352136 +56 121 5 892679480 +82 508 2 884714249 +62 12 4 879373613 +276 40 3 874791871 +181 1015 1 878963121 +152 301 3 880147407 +178 845 4 882824291 +217 597 4 889070087 +79 303 4 891271203 +138 484 4 879024127 +308 81 5 887737293 +75 284 2 884050393 +269 198 4 891447062 +307 94 3 877122695 +222 781 3 881059677 +121 740 3 891390544 +269 22 1 891448072 +13 864 4 882141924 +230 742 5 880485043 +269 507 4 891448800 +239 1099 5 889179253 +245 1028 5 888513447 +56 546 3 892679460 +295 961 5 879519556 +271 1028 2 885848102 +222 812 2 881059117 +69 240 3 882126156 +10 7 4 877892210 +22 376 3 878887112 +294 931 3 889242857 +82 717 1 884714492 +279 399 4 875313859 +269 234 1 891449406 +6 98 5 883600680 +243 1039 4 879988184 +298 181 4 884125629 +282 325 1 881703044 +78 323 1 879633567 +118 200 5 875384647 +283 1114 5 879297545 +171 292 4 891034835 +70 217 4 884151119 +10 100 5 877891747 +245 181 4 888513664 +107 333 3 891264267 +246 561 1 884923445 +13 901 1 883670672 +276 70 4 874790826 +244 17 2 880607205 +189 56 5 893265263 +226 242 5 883888671 +62 1016 4 879373008 +276 417 4 874792907 +214 478 4 891544052 +306 235 4 876504354 +222 26 3 878183043 +280 631 5 891700751 +60 430 5 883326122 +56 71 4 892683275 +42 274 5 881105817 +1 202 5 875072442 +13 809 4 882397582 +173 289 4 877556988 +15 749 1 879455311 +185 23 4 883524249 +280 540 3 891702304 +244 381 4 880604077 +150 293 4 878746946 +7 497 4 891352134 +178 317 4 882826915 +178 742 3 882823833 +95 1217 3 880572658 +234 1462 3 892333865 +97 222 5 884238887 +109 127 2 880563471 +117 268 5 880124306 +269 705 2 891448850 +130 1246 3 876252497 +264 655 4 886123530 +207 13 3 875506839 +42 588 5 881108147 +246 409 2 884923372 +87 367 4 879876702 +101 304 3 877135677 +256 127 4 882164406 +92 794 3 875654798 +181 762 2 878963418 +213 235 1 878955115 +92 739 2 876175582 +292 661 5 881105561 +246 665 4 884922831 +274 845 5 878945579 +188 692 5 875072583 +18 86 4 880129731 +5 439 1 878844423 +236 632 3 890116254 +193 407 4 889127921 +144 709 4 888105940 +90 1198 5 891383866 +48 609 4 879434819 +5 225 2 875635723 +22 128 5 878887983 +311 432 4 884365485 +8 22 5 879362183 +276 188 4 874792547 +222 173 5 878183043 +72 866 4 880035887 +299 134 4 878192311 +1 171 5 889751711 +308 295 3 887741461 +165 216 4 879525778 +222 49 3 878183512 +181 121 4 878962623 +200 11 5 884129542 +234 626 4 892336358 +244 707 4 880606243 +90 25 5 891384789 +208 216 5 883108324 +263 96 4 891298336 +134 323 4 891732335 +279 586 4 892864663 +2 292 4 888550774 +288 593 2 886892127 +49 302 4 888065432 +286 153 5 877531406 +205 304 3 888284313 +22 80 4 878887227 +234 318 4 892078890 +223 328 3 891548959 +15 25 3 879456204 +268 147 4 876514002 +94 1220 3 891722678 +274 405 4 878945840 +7 492 5 891352010 +268 217 2 875744501 +16 55 5 877717956 +164 620 3 889402298 +290 161 4 880474293 +92 515 4 875640800 +239 1070 5 889179032 +56 449 5 892679308 +248 234 4 884534968 +234 10 3 891227851 +280 1049 2 891702486 +308 187 5 887738760 +276 64 5 874787441 +192 948 3 881368302 +122 509 4 879270511 +85 588 3 880838306 +262 931 2 879790874 +201 272 3 886013700 +181 870 2 878962623 +295 739 4 879518319 +263 568 4 891299387 +295 39 4 879518279 +201 1100 4 884112800 +93 820 3 888705966 +159 1028 5 880557539 +158 665 2 880134532 +293 423 3 888906070 +82 597 3 878768882 +276 181 5 874786488 +13 823 5 882397833 +217 2 3 889069782 +83 660 4 880308256 +189 20 5 893264466 +222 796 4 878183684 +146 1022 5 891458193 +267 121 3 878970681 +126 294 3 887855087 +181 1060 1 878962675 +125 80 4 892838865 +43 120 4 884029430 +13 780 1 882142057 +253 259 2 891628883 +42 44 3 881108548 +77 518 4 884753202 +291 686 5 874835165 +268 21 3 875742822 +262 28 3 879792220 +234 81 3 892334680 +29 245 3 882820803 +236 57 5 890116575 +158 729 3 880133116 +156 661 4 888185947 +232 52 5 888550130 +168 866 5 884287927 +37 288 4 880915258 +141 245 3 884584426 +235 230 4 889655162 +102 70 3 888803537 +77 172 3 884752562 +90 506 5 891383319 +186 566 5 879023663 +44 660 5 878347915 +118 774 5 875385198 +7 661 5 891351624 +49 1003 2 888068651 +62 68 1 879374969 +42 1028 4 881106072 +178 433 4 882827834 +85 51 2 879454782 +77 474 5 884732407 +58 1099 2 892243079 +56 1047 4 892911290 +197 688 1 891409564 +286 99 4 878141681 +90 258 3 891382121 +181 1288 1 878962349 +295 190 4 879517062 +224 69 4 888082495 +272 317 4 879454977 +221 1010 3 875246662 +66 877 1 883601089 +207 318 5 877124871 +234 487 3 892079237 +7 648 5 891351653 +87 82 5 879875774 +195 1052 1 877835102 +44 449 5 883613334 +306 287 4 876504442 +194 172 3 879521474 +94 62 3 891722933 +167 659 4 892738277 +108 100 4 879879720 +230 304 5 880484286 +181 927 1 878962675 +54 302 4 880928519 +90 22 4 891384357 +181 696 2 878962997 +286 357 4 877531537 +14 269 4 892242403 +311 179 2 884365357 +92 121 5 875640679 +21 440 1 874951798 +244 550 1 880602264 +181 405 4 878962919 +65 806 4 879216529 +37 540 2 880916070 +44 443 5 878348289 +244 183 4 880606043 +1 265 4 878542441 +270 25 5 876954456 +299 387 2 889502756 +94 572 3 891723883 +286 746 4 877533058 +239 272 5 889181247 +216 55 5 880245145 +254 121 3 886472369 +62 665 2 879376483 +178 385 4 882826982 +194 23 4 879522819 +268 955 3 875745160 +188 143 5 875072674 +276 294 4 874786366 +158 1098 4 880135069 +207 845 3 881681663 +161 48 1 891170745 +305 654 4 886323937 +47 324 3 879439078 +64 736 4 889739212 +191 751 3 891560753 +7 378 5 891353011 +59 92 5 888204997 +69 268 5 882027109 +10 461 3 877888944 +21 129 4 874951382 +58 9 4 884304328 +194 152 3 879549996 +7 200 5 891353543 +113 126 5 875076827 +173 328 5 877557028 +95 233 4 879196354 +16 194 5 877720733 +59 323 4 888206809 +311 654 3 884365075 +292 589 4 881105516 +43 203 4 883955224 +79 50 4 891271545 +235 70 5 889655619 +125 190 5 892836309 +284 322 3 885329671 +303 161 5 879468547 +254 378 3 886474396 +255 1034 1 883217030 +104 301 2 888442275 +90 923 5 891383912 +6 463 4 883601713 +279 122 1 875297433 +286 298 4 875807004 +222 448 3 878183565 +297 57 5 875239383 +42 625 3 881108873 +130 1217 4 875801778 +254 357 3 886472466 +109 475 1 880563641 +230 1444 2 880485726 +244 310 3 880601905 +6 301 2 883600406 +36 748 4 882157285 +256 443 3 882164727 +102 515 1 888801316 +104 285 4 888465201 +21 447 5 874951695 +111 301 4 891680028 +18 408 5 880129628 +25 222 4 885852817 +110 944 3 886989501 +270 98 5 876955868 +68 237 5 876974133 +83 215 4 880307940 +6 258 2 883268278 +89 216 5 879459859 +128 317 4 879968029 +305 512 4 886323525 +184 412 2 889912691 +286 175 5 877532470 +279 1428 3 888465209 +256 86 5 882165103 +221 48 5 875245462 +140 332 3 879013617 +190 977 2 891042938 +11 227 3 891905896 +201 203 5 884114471 +150 181 5 878746685 +126 245 3 887854726 +20 208 2 879669401 +144 742 4 888104122 +181 930 1 878963275 +109 566 4 880578814 +85 1065 3 879455021 +213 133 3 878955973 +222 379 1 878184290 +223 11 3 891550649 +215 421 4 891435704 +218 208 3 877488366 +174 937 5 886432989 +275 186 3 880314383 +68 742 1 876974198 +268 583 4 876513830 +160 462 4 876858346 +195 273 4 878019342 +224 178 4 888082468 +5 110 1 875636493 +99 1016 5 885678724 +2 251 5 888552084 +292 9 4 881104148 +72 568 4 880037203 +85 228 3 882813248 +83 281 5 880307072 +92 831 2 886443708 +7 543 3 891351772 +87 401 2 879876813 +287 926 4 875334340 +1 155 2 878542201 +234 632 2 892079538 +222 53 5 878184113 +24 64 5 875322758 +7 554 3 891354639 +82 56 3 878769410 +161 318 3 891170824 +196 393 4 881251863 +56 91 4 892683275 +82 477 3 876311344 +7 472 2 891353357 +256 761 4 882164644 +226 56 4 883889102 +279 741 5 875296891 +308 1286 3 887738151 +16 8 5 877722736 +180 202 3 877128388 +203 93 4 880434940 +145 56 5 875271896 +288 305 4 886372527 +84 742 3 883450643 +44 644 3 878347818 +17 13 3 885272654 +313 117 4 891015319 +148 1 4 877019411 +197 347 4 891409070 +21 164 5 874951695 +279 982 3 875298314 +239 491 5 889181015 +185 287 5 883526288 +297 89 4 875239125 +303 68 4 879467361 +186 250 1 879023607 +73 206 3 888625754 +104 756 2 888465739 +94 216 3 885870665 +239 194 5 889178833 +197 511 5 891409839 +280 1 4 891700426 +1 117 3 874965739 +224 583 1 888103729 +303 397 1 879543831 +60 162 4 883327734 +198 258 4 884204501 +239 513 5 889178887 +6 69 3 883601277 +233 375 4 876374419 +85 642 4 882995615 +110 38 3 886988574 +184 522 3 889908462 +99 873 1 885678436 +13 418 2 882398763 +201 518 4 884112201 +13 858 1 882397068 +214 131 3 891544465 +296 228 4 884197264 +222 87 3 878182589 +279 725 4 875314144 +217 182 2 889070109 +85 433 3 879828720 +239 234 3 889178762 +13 72 4 882141727 +194 77 3 879527421 +208 663 5 883108476 +109 178 3 880572950 +230 172 4 880484523 +59 485 2 888204466 +313 478 3 891014373 +70 1133 3 884151344 +62 182 5 879375169 +198 234 3 884207833 +65 125 4 879217509 +174 660 5 886514261 +90 12 5 891383241 +130 1248 3 880396702 +100 354 2 891375260 +283 432 5 879297965 +275 418 3 875154718 +311 98 5 884364502 +195 751 4 883295500 +130 105 4 876251160 +269 252 1 891456350 +286 73 5 877532965 +7 623 3 891354217 +56 222 5 892679439 +210 204 5 887730676 +239 9 5 889180446 +96 87 4 884403531 +297 73 2 875239691 +249 239 3 879572284 +94 860 2 891723706 +84 121 4 883452307 +275 265 4 880314031 +135 1046 3 879858003 +291 1178 4 875086354 +125 382 1 892836623 +70 399 4 884068521 +311 9 4 884963365 +301 523 4 882076146 +152 685 5 880149074 +244 172 4 880605665 +275 1091 2 875154535 +53 281 4 879443288 +198 118 2 884206513 +244 790 4 880608037 +26 125 4 891371676 +151 13 3 879542688 +124 496 1 890286933 +24 191 5 875323003 +271 65 3 885849419 +307 634 3 879283385 +294 1245 3 877819265 +234 241 2 892335042 +25 501 3 885852301 +293 137 3 888904653 +201 432 3 884111312 +75 240 1 884050661 +13 181 5 882140354 +207 68 2 877125350 +2 50 5 888552084 +313 566 4 891016220 +144 125 4 888104191 +188 443 4 875074329 +276 324 4 874786419 +145 974 1 882182634 +72 234 4 880037418 +83 385 4 887665549 +181 619 3 878963086 +109 402 4 880581344 +207 107 3 876198301 +185 216 4 883526268 +14 213 5 890881557 +149 319 2 883512658 +57 79 5 883698495 +230 963 5 880484370 +176 875 4 886047442 +253 97 4 891628501 +284 269 4 885328991 +106 526 4 881452685 +121 180 3 891388286 +62 86 2 879374640 +291 418 4 875086920 +84 1033 4 883452711 +293 380 2 888907527 +207 58 3 875991047 +194 187 4 879520813 +109 97 3 880578711 +283 845 4 879297442 +297 275 5 874954260 +181 334 1 878961749 +78 255 4 879633745 +11 425 4 891904300 +308 59 4 887737647 +193 1078 4 889126943 +297 234 3 875239018 +87 585 4 879877008 +250 204 2 878091682 +8 50 5 879362124 +186 148 4 891719774 +312 692 4 891699426 +91 683 3 891438351 +5 454 1 875721432 +291 376 3 875086534 +175 127 5 877107640 +145 737 2 875272833 +7 644 5 891351685 +276 419 5 874792907 +83 210 5 880307751 +102 524 3 888803537 +153 174 1 881371140 +62 302 3 879371909 +49 995 3 888065577 +268 298 3 875742647 +207 554 2 877822854 +313 616 5 891015049 +286 44 3 877532173 +279 168 5 875296435 +276 474 5 889174904 +62 59 4 879373821 +254 219 1 886475980 +83 97 4 880308690 +63 100 5 875747319 +16 178 5 877719333 +297 233 2 875239914 +90 945 5 891383866 +85 25 2 879452769 +42 98 4 881106711 +303 393 4 879484981 +274 50 5 878944679 +104 299 3 888442436 +94 792 4 885873006 +184 98 4 889908539 +293 708 3 888907527 +248 589 4 884534968 +18 950 3 880130764 +217 27 1 889070011 +200 892 4 884127082 +201 148 1 884140751 +296 222 5 884196640 +7 662 3 892133739 +196 381 4 881251728 +69 427 3 882145465 +72 196 4 880036747 +256 472 4 882152471 +128 182 4 879967225 +151 747 3 879524564 +7 171 3 891351287 +286 85 5 877533224 +172 220 4 875537441 +308 516 4 887736743 +190 974 2 891625949 +82 756 1 878768741 +308 436 4 887739257 +59 235 1 888203658 +64 1063 3 889739539 +145 756 2 885557506 +220 298 4 881198966 +21 324 4 874950889 +285 269 4 890595313 +207 65 3 878104594 +198 658 3 884208173 +220 333 3 881197771 +210 70 4 887730589 +181 14 1 878962392 +158 128 2 880134296 +143 682 3 888407741 +75 237 2 884050309 +199 221 4 883782854 +223 1150 2 891549841 +297 25 4 874954497 +276 78 4 877934828 +299 847 4 877877649 +293 325 2 888904353 +301 138 2 882079446 +1 47 4 875072125 +164 281 4 889401906 +96 673 4 884402860 +291 1016 4 874833827 +7 451 5 891353892 +233 177 4 877661496 +6 517 4 883602212 +202 283 3 879727153 +214 117 4 891543241 +184 602 4 889909691 +277 257 3 879543487 +194 212 1 879524216 +95 68 4 879196231 +25 257 4 885853415 +6 23 4 883601365 +38 573 1 892433660 +313 436 4 891029877 +22 241 3 878888025 +262 617 3 879793715 +130 569 3 880396494 +66 181 5 883601425 +21 948 1 874951054 +181 1332 1 878962278 +262 174 3 879791948 +206 302 5 888180227 +222 22 5 878183285 +76 61 4 875028123 +151 703 4 879542460 +314 28 5 877888346 +13 147 3 882397502 +44 258 4 878340824 +303 418 4 879483510 +16 89 2 877717833 +270 558 5 876954927 +248 117 5 884535433 +125 318 5 879454309 +138 523 5 879024043 +268 386 2 875743978 +291 15 5 874833668 +234 147 3 892335372 +239 96 5 889178798 +15 331 3 879455166 +94 155 2 891723807 +136 89 4 882848925 +223 423 3 891550684 +82 194 4 878770027 +145 355 3 888396967 +280 845 3 891700925 +179 339 1 892151366 +178 199 4 882826306 +307 949 4 877123315 +10 488 5 877888613 +116 331 3 876451911 +23 258 5 876785704 +308 174 4 887736696 +185 114 4 883524320 +188 237 3 875073648 +118 654 5 875385007 +246 721 4 884921794 +234 98 4 892078567 +194 239 3 879522917 +94 24 4 885873423 +122 378 4 879270769 +312 100 4 891698613 +262 64 5 879793022 +154 242 3 879138235 +223 763 3 891550067 +99 403 4 885680374 +83 43 4 880308690 +130 307 4 877984546 +174 402 5 886513729 +256 487 5 882164231 +59 177 4 888204349 +161 168 1 891171174 +244 53 3 880607489 +250 196 4 878091818 +43 40 3 883956468 +285 150 5 890595636 +42 953 2 881108815 +97 670 5 884239744 +122 510 4 879270327 +61 323 3 891206450 +222 106 2 883816184 +4 264 3 892004275 +304 259 1 884967253 +37 403 5 880915942 +49 68 1 888069513 +303 1098 4 879467959 +165 372 5 879525987 +176 324 5 886047292 +3 335 1 889237269 +56 869 3 892683895 +44 15 4 878341343 +190 117 4 891033697 +29 189 4 882821942 +94 174 4 885870231 +130 949 3 876251944 +117 181 5 880124648 +303 779 1 879543418 +19 435 5 885412840 +194 191 4 879521856 +158 24 4 880134261 +56 447 4 892679067 +262 223 3 879791816 +181 1334 1 878962240 +214 137 4 891543227 +92 747 4 875656164 +188 96 5 875073128 +58 173 5 884305353 +244 154 5 880606385 +134 879 4 891732393 +298 625 4 884183406 +254 230 4 886472400 +230 138 3 880485197 +16 209 5 877722736 +151 835 5 879524199 +181 1327 1 878963305 +145 1248 3 875272195 +200 588 5 884128499 +248 257 3 884535840 +297 432 4 875239658 +312 133 5 891699296 +151 12 5 879524368 +110 568 3 886988449 +305 483 5 886323068 +141 258 5 884584338 +44 240 4 878346997 +186 263 3 879023571 +214 213 4 891544414 +233 208 4 880610814 +104 287 2 888465347 +312 153 2 891699491 +1 222 4 878873388 +206 323 1 888179833 +230 419 4 880484587 +56 450 3 892679374 +94 651 5 891725332 +205 316 4 888284710 +14 174 5 890881294 +268 790 2 876513785 +276 1081 3 880913705 +83 929 3 880307140 +268 580 3 875309344 +222 1041 3 881060155 +279 89 4 875306910 +5 424 1 875635807 +112 331 4 884992603 +296 429 5 884197330 +18 202 3 880130515 +13 868 5 882139901 +87 210 5 879875734 +10 285 5 877889186 +181 328 3 878961227 +23 463 4 874785843 +253 746 3 891628630 +234 228 3 892079190 +299 1047 2 877880041 +66 1 3 883601324 +216 174 5 881432488 +290 208 3 880475245 +79 1161 2 891271697 +264 448 2 886122031 +4 303 5 892002352 +144 831 3 888104805 +138 517 4 879024279 +64 433 2 889740286 +5 1 4 875635748 +276 357 5 874787526 +62 433 5 879375588 +239 475 5 889178689 +293 166 3 888905520 +130 234 5 875216932 +264 70 4 886123596 +208 197 5 883108797 +24 763 5 875322875 +279 1162 3 875314334 +3 245 1 889237247 +101 596 3 877136564 +162 1019 4 877636556 +223 908 1 891548802 +99 246 3 888469392 +239 430 3 889180338 +160 160 5 876862078 +172 580 4 875538028 +303 1160 2 879544629 +54 676 5 880935294 +44 507 3 878347392 +210 97 5 887736454 +164 930 4 889402340 +299 240 2 877878414 +28 217 3 881961671 +305 79 3 886324276 +18 729 3 880131236 +82 343 1 884713755 +109 1012 4 880564570 +207 25 4 876079113 +92 1209 1 875660468 +109 1 4 880563619 +15 222 3 879455730 +58 709 5 884304812 +303 693 4 879466771 +152 111 5 880148782 +194 160 2 879551380 +92 241 3 875655961 +77 91 3 884752924 +244 662 3 880606533 +177 321 2 880130481 +131 221 3 883681561 +197 302 3 891409070 +227 50 4 879035347 +85 282 3 879829618 +295 72 4 879518714 +181 1 3 878962392 +277 255 4 879544145 +279 96 4 875310606 +1 253 5 874965970 +18 182 4 880130640 +276 568 4 882659211 +87 177 5 879875940 +177 69 1 880131088 +213 13 4 878955139 +125 134 5 879454532 +128 739 4 879969349 +291 428 5 874871766 +25 208 4 885852337 +288 272 5 889225463 +207 1350 2 877878772 +271 56 3 885848559 +5 363 3 875635225 +274 748 5 878944406 +70 419 5 884065035 +311 559 2 884366187 +151 919 5 879524368 +199 268 5 883782509 +201 209 3 884112801 +99 274 1 885679157 +11 740 4 891903067 +59 77 4 888206254 +184 277 3 889907971 +222 88 4 878183336 +38 161 5 892432062 +59 418 2 888205188 +104 300 3 888442275 +298 1346 3 884126061 +180 1119 3 877128156 +7 674 2 891352659 +121 14 5 891390014 +268 1041 1 875743735 +252 277 4 891456797 +303 411 4 879483802 +210 527 5 887736232 +234 648 3 892826760 +312 573 5 891712535 +308 215 3 887737483 +234 1397 4 892334976 +75 546 3 884050422 +117 15 5 880125887 +246 239 3 884921380 +64 516 5 889737376 +85 187 5 879454235 +239 81 3 889179808 +59 54 4 888205921 +256 220 3 882151690 +216 196 5 880245145 +203 282 1 880434919 +13 195 3 881515296 +144 153 5 888105823 +100 268 3 891374982 +210 274 5 887730676 +94 471 4 891721642 +13 807 1 886304229 +125 657 3 892836422 +65 1142 4 879217349 +1 113 5 878542738 +76 175 4 875028853 +294 508 4 877819532 +263 1451 4 891299949 +294 930 3 889242704 +121 117 1 891388600 +85 13 3 879452866 +303 426 3 879542535 +212 180 1 879303974 +6 492 5 883601089 +181 240 1 878963122 +279 746 5 875310233 +303 1109 4 879467936 +184 191 4 889908716 +310 116 5 879436104 +313 22 3 891014870 +314 1150 4 877887002 +13 121 5 882397503 +43 5 4 875981421 +58 214 2 884305296 +215 164 3 891436633 +62 288 2 879371909 +280 127 5 891702544 +161 898 3 891170191 +11 723 5 891904637 +94 218 3 891721851 +35 243 2 875459046 +311 566 4 884366112 +48 680 3 879434330 +85 604 4 882995132 +288 527 3 886373565 +184 514 5 889908497 +151 929 3 879543457 +90 690 4 891383319 +11 38 3 891905936 +104 1016 1 888466002 +106 582 4 881451199 +181 1010 1 878962774 +37 117 4 880915674 +276 845 4 874786807 +22 258 5 878886261 +70 82 4 884068075 +5 98 3 875720691 +308 95 4 887737130 +60 208 5 883326028 +270 778 5 876955711 +243 208 4 879989134 +92 540 2 875813197 +81 280 4 876534214 +293 412 1 888905377 +200 478 5 884128788 +13 308 3 881514726 +56 184 4 892679088 +116 250 4 876452606 +295 172 4 879516986 +63 1007 5 875747368 +295 235 4 879517943 +104 1010 1 888465554 +156 641 5 888185677 +269 1165 1 891446904 +160 430 5 876861799 +237 191 4 879376773 +287 252 1 875334361 +290 132 3 880473993 +45 109 5 881012356 +224 678 3 888082277 +145 764 2 888398257 +277 1011 3 879543697 +65 100 3 879217558 +272 1101 5 879454977 +116 255 3 876452524 +184 86 5 889908694 +285 151 5 890595636 +222 148 2 881061164 +72 28 4 880036824 +271 187 5 885848343 +94 211 5 891721142 +246 425 5 884921918 +115 8 5 881171982 +176 327 3 886047176 +13 396 3 882141727 +129 331 2 883244737 +257 1260 2 880496892 +95 1 5 879197329 +147 904 5 885594015 +151 58 4 879524849 +184 660 3 889909962 +311 386 3 884365747 +105 268 4 889214268 +158 510 3 880134296 +34 312 4 888602742 +72 427 5 880037702 +263 416 5 891299697 +94 1048 4 891722678 +200 291 3 891825292 +45 118 4 881014550 +279 144 4 880850073 +145 22 5 875273021 +71 89 5 880864462 +182 69 5 876435435 +193 627 4 889126972 +214 302 4 892668197 +151 485 5 879525002 +102 322 3 883277645 +234 571 2 892318158 +249 930 2 879640585 +195 328 4 884420059 +109 258 5 880562908 +222 552 2 878184596 +282 288 4 879949367 +117 758 2 881011217 +23 381 4 874787350 +112 327 1 884992535 +303 145 1 879543573 +252 300 4 891448664 +151 372 5 879524819 +282 327 5 879949417 +304 237 5 884968415 +290 568 3 880474716 +64 160 4 889739288 +28 79 4 881961003 +168 1278 3 884287560 +265 471 4 875320302 +18 113 5 880129628 +83 82 5 887665423 +90 499 5 891383866 +234 1186 4 892335707 +87 196 5 879877681 +26 685 3 891371676 +150 129 4 878746946 +161 98 4 891171357 +70 210 4 884065854 +51 182 3 883498790 +222 1057 4 881061370 +92 176 5 875652981 +204 216 4 892513864 +164 685 5 889402160 +57 682 3 883696824 +184 207 4 889908903 +60 403 3 883327087 +92 180 5 875653016 +43 204 4 883956122 +222 1042 4 878184514 +197 300 4 891409422 +92 790 3 875907618 +294 282 3 877821796 +201 747 2 884113635 +201 215 2 884140382 +193 410 3 889127633 +271 705 4 885849052 +214 693 3 891544414 +73 657 5 888625422 +90 187 4 891383561 +315 273 3 879821349 +48 309 3 879434132 +255 472 1 883216958 +270 671 4 876956360 +66 7 3 883601355 +6 478 4 883602762 +101 222 3 877136243 +207 1046 4 875509787 +144 182 3 888105743 +85 83 4 886282959 +102 625 3 883748418 +158 770 5 880134477 +297 588 4 875238579 +90 507 5 891383987 +271 482 5 885848519 +130 901 1 884624044 +178 276 3 882823978 +90 245 3 891382612 +181 1094 1 878963086 +311 143 3 884364812 +267 17 4 878971773 +201 51 2 884140751 +194 647 4 879521531 +59 387 3 888206562 +1 227 4 876892946 +116 751 3 890131577 +170 292 5 884103732 +110 578 3 886988536 +60 1021 5 883326185 +287 347 4 888177040 +197 55 3 891409982 +38 679 5 892432062 +195 1014 4 879673925 +279 227 4 889326161 +84 748 4 883449530 +31 886 2 881547877 +316 98 5 880853743 +25 25 5 885853415 +168 274 4 884287865 +103 24 4 880415847 +299 588 4 877880852 +194 478 3 879521329 +287 294 5 875333873 +234 582 4 892334883 +279 1048 1 886015533 +87 9 4 879877931 +181 408 1 878962550 +279 1151 2 875744584 +49 47 5 888068715 +296 855 5 884197352 +44 95 4 878347569 +92 216 3 875653867 +135 39 3 879857931 +13 66 3 882141485 +262 386 3 879795512 +7 676 3 891354499 +116 942 3 876454090 +318 474 4 884495742 +141 826 2 884585437 +269 13 4 891446662 +222 1044 4 881060578 +82 455 4 876311319 +279 254 3 879572960 +42 685 4 881105972 +145 1245 5 875271397 +184 161 2 889909640 +49 625 3 888067031 +177 243 1 882142141 +313 99 4 891014029 +32 290 3 883717913 +308 848 4 887736925 +145 448 5 877343121 +130 542 3 875801778 +130 806 3 875217096 +165 288 2 879525673 +249 255 3 879571752 +49 581 3 888068143 +195 300 3 890588925 +118 475 5 875384793 +130 316 4 888211794 +104 293 3 888465166 +201 1229 3 884140307 +142 82 4 888640356 +119 718 5 874774956 +303 94 3 879485318 +99 50 5 885679998 +306 14 5 876503995 +92 709 2 875654590 +227 295 5 879035387 +3 337 1 889236983 +94 820 1 891723186 +59 1107 4 888206254 +30 539 3 885941454 +262 821 3 879794887 +6 508 3 883599530 +311 716 4 884365718 +268 364 3 875743979 +262 553 4 879795122 +214 275 3 891542968 +16 56 5 877719863 +262 293 2 879790906 +293 132 4 888905481 +62 132 5 879375022 +94 346 4 891725410 +13 59 4 882140425 +240 313 5 885775604 +102 161 2 888801876 +83 301 2 891181430 +291 7 5 874834481 +312 28 4 891698300 +31 484 5 881548030 +291 70 4 874868146 +56 172 5 892737191 +109 588 4 880578388 +110 1246 2 886989613 +59 429 4 888204597 +246 1218 3 884922801 +65 196 5 879216637 +24 367 2 875323241 +92 115 3 875654125 +308 741 4 887739863 +301 660 4 882076782 +214 1129 4 892668249 +158 241 4 880134445 +269 674 2 891451754 +308 493 3 887737293 +32 151 3 883717850 +224 191 4 888082468 +215 423 5 891435526 +32 1012 4 883717581 +154 289 2 879138345 +201 509 3 884111546 +85 298 4 880581629 +180 68 5 877127721 +184 36 3 889910195 +188 218 5 875074667 +305 11 1 886323237 +144 508 4 888104150 +73 94 1 888625754 +194 205 3 879524291 +177 203 4 880131026 +276 273 4 874786517 +198 7 4 884205317 +108 290 4 879880076 +189 197 5 893265291 +73 56 4 888626041 +172 462 3 875537717 +120 546 2 889490979 +101 471 3 877136535 +5 102 3 875721196 +26 235 2 891372429 +268 1249 2 875743793 +276 773 3 874792794 +13 150 5 882140588 +7 401 4 891354257 +128 482 4 879967432 +104 7 3 888465972 +293 39 3 888906804 +256 25 5 882150552 +90 821 3 891385843 +275 69 3 880314089 +22 510 5 878887765 +312 494 5 891698454 +207 192 3 877822350 +264 504 5 886122577 +137 687 4 881432756 +185 740 4 883524475 +307 687 1 879114143 +42 176 3 881107178 +145 472 3 875271128 +189 634 3 893265506 +262 121 3 879790536 +251 148 2 886272547 +259 772 4 874724882 +239 58 5 889179623 +312 921 5 891699295 +92 15 3 875640189 +81 742 2 876533764 +311 419 3 884364931 +102 448 3 888803002 +249 746 5 879641209 +95 527 4 888954440 +19 655 3 885412723 +79 100 5 891271652 +189 751 4 893265046 +253 510 5 891628416 +201 919 3 884141208 +1 17 3 875073198 +214 42 5 892668130 +7 81 5 891352626 +234 132 4 892333865 +59 148 3 888203175 +13 354 2 888779458 +6 469 5 883601155 +82 14 4 876311280 +109 627 5 880582133 +305 50 5 886321799 +195 154 3 888737525 +277 279 4 879543592 +223 8 2 891550684 +92 81 3 875654929 +201 69 2 884112901 +94 58 5 891720540 +217 144 4 889069782 +244 148 2 880605071 +313 200 3 891017736 +181 874 1 878961749 +116 1216 3 876452582 +303 433 4 879467985 +117 151 4 880126373 +221 327 4 875243968 +46 307 3 883611430 +91 28 4 891439243 +151 317 5 879524610 +64 176 4 889737567 +90 553 2 891384959 +116 271 4 886310197 +291 1139 3 874871671 +62 111 3 879372670 +196 251 3 881251274 +303 120 2 879544099 +49 547 5 888066187 +307 1022 4 879283008 +303 176 5 879467260 +286 154 4 877533381 +291 501 4 875087100 +235 87 4 889655162 +254 379 1 886474650 +276 157 5 874790773 +135 1208 3 879858003 +57 243 3 883696547 +276 1157 2 874795772 +7 576 5 892132943 +250 404 4 878092144 +318 768 2 884498022 +234 808 2 892335707 +289 282 3 876789180 +87 1079 2 879877240 +50 823 3 877052784 +25 258 5 885853199 +18 496 5 880130470 +193 790 3 889127381 +263 510 4 891298392 +209 906 2 883589546 +207 716 3 875508783 +314 535 4 877887002 +250 338 4 883263374 +262 568 3 879794113 +95 172 4 879196847 +94 470 4 891722006 +59 583 5 888205921 +277 282 4 879543697 +303 1286 4 879467413 +271 714 3 885848863 +269 235 3 891446756 +148 140 1 877019882 +223 977 2 891550295 +210 357 5 887736206 +185 199 4 883526268 +174 80 1 886515210 +235 480 4 889655044 +276 939 3 874790855 +99 354 2 888469332 +308 163 4 887737084 +303 738 2 879544276 +224 873 2 888082187 +298 252 4 884183833 +44 208 4 878347420 +315 13 4 879821158 +215 197 4 891435357 +269 9 4 891446246 +42 195 5 881107949 +293 79 3 888906045 +246 68 5 884922341 +101 405 4 877137015 +92 665 3 875906853 +249 88 4 879572668 +60 525 5 883325944 +13 331 3 881515457 +271 750 4 885844698 +92 731 4 875653769 +254 188 3 886473672 +311 203 5 884365201 +263 197 4 891299752 +201 660 3 884140927 +279 79 3 875296461 +138 496 4 879024043 +209 251 5 883417810 +217 7 4 889069741 +261 340 5 890454045 +176 258 4 886047026 +303 1037 3 879544340 +81 169 4 876534751 +62 114 4 879373568 +72 530 4 880037164 +276 364 3 877935377 +88 750 2 891037276 +49 7 4 888067307 +263 117 3 891299387 +9 298 5 886960055 +92 528 4 875657681 +249 708 4 879572403 +262 754 3 879961283 +196 655 5 881251793 +207 1436 3 878191574 +256 771 2 882164999 +276 226 4 874792520 +134 313 5 891732150 +311 849 3 884365781 +181 1383 1 878962086 +203 148 3 880434755 +247 736 5 893097024 +313 745 3 891016583 +311 83 5 884364812 +251 1014 5 886272486 +227 411 4 879035897 +59 550 5 888206605 +201 206 2 884112029 +58 100 5 884304553 +249 723 4 879641093 +286 1316 5 884583549 +11 725 3 891905568 +7 228 4 891350845 +92 846 3 886443471 +160 56 5 876770222 +103 127 4 880416331 +11 110 3 891905324 +87 2 4 879876074 +45 763 2 881013563 +293 605 3 888907702 +291 732 4 874868097 +254 575 3 886476165 +49 334 4 888065744 +222 1284 4 878184422 +161 162 2 891171413 +268 1 3 875742341 +59 215 5 888204430 +177 209 4 880130736 +151 1298 4 879528520 +299 235 1 877878184 +29 332 4 882820869 +30 435 5 885941156 +297 182 3 875239125 +315 185 4 879821267 +23 172 4 874785889 +262 47 2 879794599 +321 496 4 879438607 +191 754 3 891560366 +106 778 4 881453040 +7 151 4 891352749 +178 678 3 882823530 +84 12 5 883452874 +94 168 5 891721378 +264 33 3 886122644 +239 529 5 889179808 +90 657 5 891385190 +261 875 5 890454351 +190 302 5 891033606 +112 289 5 884992690 +144 106 3 888104684 +199 258 4 883782403 +224 20 1 888104487 +85 501 3 880838306 +301 202 5 882076211 +145 743 1 888398516 +294 127 5 877819265 +130 206 3 875801695 +103 121 3 880415766 +152 412 2 880149328 +267 840 4 878970926 +286 231 3 877532094 +200 24 2 884127370 +5 211 4 875636631 +160 117 4 876767822 +6 357 4 883602422 +158 72 3 880135118 +297 736 4 875239975 +250 244 4 878089786 +57 760 2 883697617 +58 268 5 884304288 +23 1006 3 874785809 +301 1228 4 882079423 +307 265 3 877122816 +276 1095 1 877935135 +223 411 1 891550005 +92 24 3 875640448 +137 300 5 881432524 +164 117 5 889401816 +276 38 3 874792574 +213 294 3 878870226 +286 34 5 877534701 +232 197 4 888549563 +150 221 4 878747017 +21 103 1 874951245 +130 731 3 876251922 +222 441 2 881059920 +1 90 4 878542300 +189 1005 4 893265971 +49 38 1 888068289 +311 5 3 884365853 +36 307 4 882157227 +128 228 3 879969329 +151 89 5 879524491 +248 475 5 884535446 +95 1229 2 879198800 +213 609 4 878955533 +203 181 5 880434278 +308 863 3 887736881 +269 47 4 891448386 +198 100 1 884207325 +297 307 4 878771124 +305 189 5 886323303 +266 676 3 892257897 +197 229 3 891410039 +74 272 5 888333194 +127 294 4 884363803 +194 4 4 879521397 +177 56 5 880130618 +45 473 3 881014417 +57 28 4 883698324 +239 187 5 889178798 +268 94 2 875743630 +238 252 3 883576644 +201 1010 3 884140579 +131 1281 4 883681561 +270 97 4 876955633 +159 127 5 880989744 +230 202 4 880485352 +92 219 4 875654888 +318 356 4 884496671 +123 531 3 879872671 +267 403 4 878971939 +232 630 3 888550060 +5 382 5 875636587 +16 155 3 877719157 +180 762 4 877126241 +178 282 3 882823978 +319 313 5 889816026 +180 737 3 877128327 +270 736 5 876955087 +269 658 2 891448497 +293 496 5 888905840 +269 793 4 891449880 +54 685 3 880935504 +21 98 5 874951657 +303 209 5 879467328 +13 766 4 882139686 +314 95 5 877888168 +151 387 5 879542353 +230 378 5 880485159 +201 403 3 884112427 +95 1206 4 888956137 +270 370 5 876956232 +256 716 5 882165135 +80 582 3 887401701 +303 435 5 879466491 +312 121 3 891698174 +151 1006 1 879524974 +62 258 5 879371909 +189 1115 4 893264270 +77 195 5 884733695 +99 742 5 885679114 +291 1028 3 875086561 +293 748 2 888904327 +181 1342 1 878962168 +206 900 1 888179980 +83 338 4 883868647 +262 179 4 879962570 +253 216 4 891628252 +223 596 3 891549713 +108 50 4 879879739 +94 347 5 891724950 +293 779 1 888908066 +101 281 2 877136842 +267 980 3 878970578 +201 1245 4 884141015 +314 1263 2 877890611 +271 111 4 885847956 +314 276 1 877886413 +18 387 4 880130155 +207 4 4 876198457 +313 96 5 891015144 +21 299 1 874950931 +215 144 4 891435107 +279 1376 4 886016680 +234 1015 2 892079617 +296 248 5 884196765 +270 83 4 876954995 +210 161 5 887736393 +201 79 4 884112245 +5 376 2 879198045 +184 181 4 889907426 +104 411 1 888465739 +275 449 3 876198328 +185 269 5 883524428 +276 550 4 874792574 +279 1182 3 875314370 +216 69 5 880235229 +21 457 1 874951054 +16 471 3 877724845 +147 292 5 885594040 +291 250 4 874805927 +28 95 3 881956917 +29 539 2 882821044 +291 471 4 874833746 +7 580 3 892132171 +181 16 1 878962996 +297 218 3 875409827 +308 559 4 887740367 +87 211 5 879876812 +97 89 5 884238939 +21 596 3 874951617 +59 710 3 888205463 +238 756 3 883576476 +178 209 4 882826944 +186 470 5 879023693 +299 615 4 878192555 +10 504 5 877892110 +110 682 4 886987354 +109 101 1 880578186 +157 250 1 886890296 +267 386 3 878973597 +181 327 3 878961780 +207 87 4 884386260 +47 995 3 879440429 +148 114 5 877016735 +94 9 5 885872684 +60 222 4 883327441 +244 409 4 880605294 +276 246 4 874786686 +90 906 2 891382240 +234 20 4 891227979 +106 107 4 883876961 +216 697 4 883981700 +294 1199 2 889242142 +323 257 2 878739393 +140 268 4 879013684 +220 303 4 881198014 +67 64 5 875379211 +170 299 3 886190476 +230 142 4 880485633 +299 641 4 889501514 +7 581 5 891353477 +275 501 3 875154718 +44 250 5 878346709 +291 214 4 874868146 +11 741 5 891902745 +59 286 3 888202532 +174 395 1 886515154 +194 234 3 879521167 +57 204 4 883698272 +314 417 4 877888855 +201 197 4 884113422 +184 155 3 889912656 +194 792 4 879524504 +159 1037 2 884360502 +186 983 3 879023152 +181 979 2 878963241 +68 7 3 876974096 +286 721 3 877532329 +316 306 4 880853072 +280 781 4 891701699 +13 14 4 884538727 +211 127 4 879461498 +187 215 3 879465805 +71 134 3 885016614 +306 242 5 876503793 +64 684 4 889740199 +303 277 3 879468547 +198 135 5 884208061 +232 91 5 888549515 +98 47 4 880498898 +53 24 3 879442538 +299 971 2 889502353 +254 1116 3 886473448 +7 106 4 891353892 +12 300 4 879958639 +239 10 5 889180338 +238 111 4 883576603 +130 267 5 875801239 +90 662 5 891385842 +63 20 3 875748004 +40 268 4 889041430 +181 221 1 878962465 +298 152 3 884183336 +104 327 2 888442202 +42 185 4 881107449 +181 995 1 878961585 +258 288 1 885700919 +291 578 4 874835242 +148 70 5 877021271 +305 187 4 886323189 +184 71 4 889911552 +94 556 3 891722882 +158 1011 4 880132579 +7 528 5 891352659 +174 237 4 886434047 +158 190 5 880134332 +201 853 4 884114635 +276 43 1 874791383 +278 311 4 891295130 +229 347 1 891632073 +101 252 3 877136628 +63 1028 3 875748198 +275 520 4 880314218 +275 173 3 875154795 +62 1073 4 879374752 +230 234 4 880484756 +109 975 3 880572351 +73 357 5 888626007 +83 118 3 880307071 +4 361 5 892002353 +130 245 1 874953526 +64 778 5 889739806 +15 473 1 879456204 +244 89 5 880602210 +7 643 4 891350932 +219 347 1 889386819 +295 704 5 879519266 +293 288 3 888904327 +125 997 2 892838976 +279 487 3 890282182 +76 582 3 882607444 +272 48 4 879455143 +269 285 5 891446165 +244 380 4 880608133 +271 220 3 885848179 +321 287 3 879438857 +306 864 3 876504286 +224 332 3 888103429 +57 1047 4 883697679 +145 591 4 879161848 +85 277 2 879452938 +116 7 2 876453915 +52 95 4 882922927 +209 688 1 883589626 +145 260 4 875269871 +208 202 4 883108476 +160 187 5 876770168 +141 274 5 884585220 +260 990 5 890618729 +177 299 4 880130500 +82 231 2 878769815 +223 969 5 891550649 +107 271 2 891264432 +26 25 3 891373727 +297 1016 3 874955131 +244 167 3 880607853 +15 678 1 879455311 +286 709 4 877532748 +82 411 3 878768902 +167 364 3 892738212 +99 181 5 885680138 +56 196 2 892678628 +293 346 3 888904004 +7 650 3 891350965 +90 425 4 891384996 +228 475 3 889388521 +82 919 3 876311280 +43 151 4 875975613 +10 289 4 877886223 +197 515 5 891409935 +57 756 3 883697730 +246 82 2 884921986 +62 24 4 879372633 +323 223 4 878739699 +13 320 1 882397010 +268 63 1 875743792 +18 863 3 880130680 +271 410 2 885848238 +307 509 3 877121019 +54 298 4 892681300 +295 47 5 879518166 +194 237 3 879538959 +194 82 2 879524216 +311 385 5 884365284 +287 257 4 875334224 +290 82 4 880473918 +262 96 4 879793022 +279 491 5 875296435 +290 393 3 880475169 +145 393 5 875273174 +305 61 4 886323378 +269 156 5 891449364 +276 180 5 874787353 +323 298 4 878739275 +296 258 5 884196469 +18 965 4 880132012 +72 528 4 880036664 +224 949 3 888104057 +125 239 5 892838375 +244 652 5 880606533 +135 431 2 879857868 +138 211 4 879024183 +59 604 3 888204927 +221 1059 4 875245077 +13 451 1 882141872 +42 69 4 881107375 +10 340 4 880371312 +219 882 3 889386741 +60 604 4 883327997 +125 152 1 879454892 +63 50 4 875747292 +255 448 3 883216544 +311 172 5 884364763 +7 582 5 892135347 +7 127 5 891351728 +189 203 3 893265921 +59 470 3 888205714 +313 148 2 891031979 +234 161 3 892335824 +6 143 2 883601053 +305 960 1 886324362 +226 147 3 883889479 +204 340 5 892389195 +13 493 5 882140206 +186 281 4 879023390 +6 275 4 883599102 +269 82 2 891450780 +69 300 3 882027204 +259 959 4 888720593 +5 62 4 875637575 +181 1164 3 878962464 +135 449 3 879857843 +222 1207 2 881060659 +5 231 2 875635947 +286 258 4 877530390 +104 249 3 888465675 +303 65 4 879467436 +295 73 4 879519009 +201 686 2 884112352 +13 289 2 882140759 +184 100 5 889907652 +262 786 3 879795319 +234 614 3 892334609 +1 64 5 875072404 +325 485 3 891478599 +312 641 5 891698300 +207 810 2 877125506 +262 509 3 879792818 +239 478 5 889178986 +142 181 5 888640317 +296 242 4 884196057 +291 571 2 875086608 +13 488 3 890704999 +294 676 3 877821514 +69 174 5 882145548 +195 265 4 888737346 +121 509 5 891388145 +279 509 3 875296552 +49 17 2 888068651 +7 196 5 891351432 +280 472 2 891702086 +221 780 3 875246552 +175 96 3 877108051 +180 431 4 877442098 +311 1222 3 884366010 +44 120 4 878346977 +318 257 5 884471030 +59 588 2 888204389 +320 117 4 884748641 +256 939 5 882164893 +310 24 4 879436242 +236 265 2 890116191 +83 139 3 880308959 +280 128 3 891701188 +43 52 4 883955224 +18 494 3 880131497 +303 87 3 879466421 +91 427 4 891439057 +318 631 4 884496855 +275 258 3 875154310 +97 482 5 884238693 +174 160 5 886514377 +268 470 3 875310745 +188 769 2 875074720 +94 89 3 885870284 +7 44 5 891351728 +158 85 4 880135118 +256 765 4 882165328 +221 69 4 875245641 +196 67 5 881252017 +232 175 5 888549815 +159 685 4 880557347 +99 182 4 886518810 +175 71 4 877107942 +254 624 2 886473254 +326 22 4 879874989 +303 291 3 879484804 +270 53 4 876956106 +181 1001 1 878963038 +254 418 3 886473078 +56 235 1 892911348 +11 190 3 891904174 +162 181 4 877635798 +117 829 3 881010219 +268 52 3 875309319 +320 177 5 884749360 +6 294 2 883599938 +210 380 4 887736482 +151 969 5 879542510 +42 684 4 881108093 +62 365 2 879376096 +207 121 3 875504876 +59 70 3 888204758 +26 455 3 891371506 +234 705 5 892318002 +270 466 5 876955899 +97 484 3 884238966 +11 660 3 891904573 +5 377 1 878844615 +56 797 4 892910860 +305 923 5 886323237 +173 286 5 877556626 +67 1095 4 875379287 +213 12 5 878955409 +268 684 3 875744321 +36 883 5 882157581 +100 321 1 891375112 +269 729 2 891448569 +131 100 5 883681418 +308 298 5 887741383 +14 709 5 879119693 +284 305 4 885328906 +191 752 3 891560481 +222 29 3 878184571 +201 421 2 884111708 +207 864 3 877750738 +303 1315 3 879544791 +52 1086 4 882922562 +305 529 5 886324097 +223 318 4 891550711 +22 79 4 878887765 +137 546 5 881433116 +292 328 3 877560833 +249 11 5 879640868 +269 616 4 891450453 +197 294 4 891409290 +42 603 4 881107502 +26 1016 3 891377609 +7 560 3 892132798 +193 435 4 889124439 +7 559 5 891354882 +299 186 3 889503233 +115 127 5 881171760 +59 433 5 888205982 +217 22 5 889069741 +279 709 4 875310195 +257 345 4 887066556 +279 789 4 875306580 +279 919 3 892864663 +63 222 3 875747635 +178 73 5 882827985 +90 1194 4 891383718 +111 313 4 891679901 +13 848 5 882140001 +94 625 4 891723086 +59 496 4 888205144 +179 905 4 892151331 +303 302 4 879465986 +299 516 4 889503159 +10 505 4 877886846 +62 464 4 879375196 +56 69 4 892678893 +92 289 3 875641367 +308 378 3 887740700 +13 144 4 882397146 +181 1348 1 878962200 +15 932 1 879456465 +244 155 3 880608599 +234 233 2 892335990 +15 127 2 879455505 +110 1179 2 886989501 +181 302 2 878961511 +236 313 4 890115777 +310 536 4 879436137 +37 55 3 880915942 +234 617 3 892078741 +303 369 1 879544130 +75 409 3 884050829 +197 518 1 891409982 +314 692 5 877888445 +187 523 3 879465125 +151 402 3 879543423 +268 264 3 876513607 +224 215 4 888082612 +292 195 5 881103568 +16 191 5 877719454 +99 597 4 885679210 +234 482 4 892334803 +303 323 1 879466214 +233 99 3 877663383 +66 249 4 883602158 +280 204 3 891700643 +301 174 5 882075827 +92 1142 4 886442422 +99 410 5 885679262 +221 1250 2 875247855 +97 98 4 884238728 +313 673 4 891016622 +58 109 4 884304396 +270 781 5 876955750 +13 476 2 882141997 +189 1 5 893264174 +67 147 3 875379357 +234 50 4 892079237 +40 880 3 889041643 +294 222 4 877819353 +293 629 3 888907753 +7 241 4 891354053 +87 775 2 879876848 +314 1289 2 877887388 +131 750 5 883681723 +296 48 5 884197091 +81 3 4 876592546 +151 186 4 879524222 +57 926 3 883697831 +234 134 5 892333573 +53 174 5 879442561 +280 544 4 891701302 +123 135 5 879872868 +109 797 3 880582856 +96 479 4 884403758 +236 286 5 890115777 +201 313 5 884110598 +174 471 5 886433804 +130 931 2 880396881 +151 15 4 879524879 +90 529 5 891385132 +59 12 5 888204260 +3 343 3 889237122 +310 845 5 879436534 +224 658 1 888103840 +4 357 4 892003525 +25 615 5 885852611 +11 517 2 891905222 +298 91 2 884182932 +59 170 4 888204430 +147 305 4 885593997 +314 1518 4 877891426 +256 413 4 882163956 +234 618 3 892078343 +246 8 3 884921245 +255 678 2 883215795 +92 106 3 875640609 +272 127 5 879454725 +104 269 5 888441878 +276 406 2 874786831 +276 34 2 877934264 +97 50 5 884239471 +150 121 2 878747322 +14 530 5 890881433 +23 170 4 874785348 +13 97 4 882399357 +165 325 4 879525672 +244 7 4 880602558 +95 416 4 888954961 +28 98 5 881961531 +259 269 3 877923906 +82 596 3 876311195 +28 173 3 881956220 +94 455 3 891721777 +276 384 3 874792189 +298 8 5 884182748 +151 210 4 879524419 +77 238 5 884733965 +200 241 4 884129782 +201 405 4 884112427 +193 332 3 889123257 +38 139 2 892432786 +291 226 5 874834895 +113 326 5 875935609 +313 191 5 891013829 +207 531 4 877878342 +214 151 5 892668153 +44 123 4 878346532 +18 154 4 880131358 +297 628 4 874954497 +279 116 1 888799670 +7 28 5 891352341 +115 92 4 881172049 +308 581 4 887740500 +62 138 1 879376709 +81 824 3 876534437 +293 1161 2 888905062 +13 781 3 882399528 +13 338 1 882140740 +41 28 4 890687353 +280 554 1 891701998 +287 249 5 875334430 +117 50 5 880126022 +178 106 2 882824983 +201 117 2 884112487 +256 1057 2 882163805 +221 204 4 875246008 +318 659 4 884495868 +262 11 4 879793597 +154 488 4 879138831 +186 385 4 879023894 +303 1095 2 879543988 +302 323 2 879436875 +198 179 4 884209264 +99 168 5 885680374 +229 313 2 891631948 +126 262 4 887854726 +72 226 4 880037307 +109 31 4 880577844 +34 242 5 888601628 +173 323 5 877556926 +156 276 3 888185854 +122 215 4 879270676 +276 583 3 874791444 +224 528 3 888082658 +208 88 5 883108324 +295 483 5 879517348 +279 65 1 875306767 +43 64 5 875981247 +89 197 5 879459859 +308 435 4 887737484 +315 305 5 881017419 +42 1041 4 881109060 +164 299 4 889401383 +7 153 5 891352220 +93 412 2 888706037 +125 1180 3 892838865 +70 50 4 884064188 +177 960 3 880131161 +75 476 1 884050393 +62 401 3 879376727 +130 366 5 876251972 +312 228 3 891699040 +158 414 4 880135118 +279 42 4 875308843 +210 58 4 887730177 +43 66 4 875981506 +151 490 5 879528418 +293 665 2 888908117 +293 36 1 888908041 +102 405 2 888801812 +276 291 3 874791169 +21 839 1 874951797 +194 663 4 879524292 +38 432 1 892430282 +92 453 1 875906882 +311 180 4 884364764 +198 214 4 884208273 +82 661 4 878769703 +267 238 4 878971629 +291 466 5 874834768 +151 692 3 879524669 +60 47 4 883326399 +92 79 4 875653198 +97 115 5 884239525 +314 1218 4 877887525 +319 338 2 879977242 +5 407 3 875635431 +15 685 4 879456288 +99 204 4 885679952 +123 192 5 879873119 +47 340 5 879439078 +222 135 5 878181563 +224 149 1 888103999 +58 284 4 884304519 +320 294 4 884748418 +268 135 4 875309583 +83 640 2 880308550 +106 692 3 881453290 +287 11 5 875335124 +305 186 4 886323902 +181 1320 1 878962279 +49 49 2 888068990 +6 221 4 883599431 +85 647 4 879453844 +128 736 5 879968352 +279 827 1 888426577 +271 630 2 885848943 +303 748 2 879466214 +249 124 5 879572646 +280 693 3 891701027 +207 827 3 876018501 +60 616 3 883327087 +21 184 4 874951797 +286 628 4 875806800 +145 183 5 875272009 +311 28 5 884365140 +25 228 4 885852920 +76 92 4 882606108 +246 406 3 884924749 +201 292 3 884110598 +235 647 4 889655045 +286 133 4 877531730 +48 174 5 879434723 +144 685 3 888105473 +5 24 4 879198229 +85 272 4 893110061 +286 7 4 875807003 +64 93 2 889739025 +151 429 5 879528673 +191 301 4 891561336 +287 56 5 875334759 +96 153 4 884403624 +125 615 3 879454793 +150 100 2 878746636 +93 15 5 888705388 +84 528 5 883453617 +318 50 2 884495696 +13 167 4 882141659 +213 471 3 878870816 +178 234 4 882826783 +128 418 4 879968164 +195 496 4 888737525 +13 570 5 882397581 +276 843 4 874792989 +54 268 5 883963510 +305 347 3 886308111 +14 474 4 890881557 +18 58 4 880130613 +263 921 3 891298727 +289 849 4 876789943 +194 321 3 879520306 +11 746 4 891905032 +298 842 4 884127249 +56 215 5 892678547 +13 844 1 882397010 +38 465 5 892432476 +308 165 3 887736696 +214 652 4 891543972 +102 300 3 875886434 +7 420 5 891353219 +61 328 5 891206371 +307 100 3 879206424 +21 590 1 874951898 +311 68 1 884365824 +95 1230 1 888956901 +303 182 5 879467105 +145 13 5 875270507 +50 253 5 877052550 +194 530 4 879521167 +145 1 3 882181396 +222 157 4 878181976 +7 188 5 891352778 +109 100 4 880563080 +90 631 5 891384570 +7 78 3 891354165 +181 1324 1 878962464 +201 332 2 884110887 +13 685 5 882397582 +82 73 4 878769888 +267 423 3 878972842 +194 1206 1 879554453 +269 106 1 891451947 +99 895 3 885678304 +235 1149 4 889655595 +200 665 4 884130621 +312 188 3 891698793 +145 50 5 885557660 +234 71 3 892334338 +213 48 5 878955848 +244 216 4 880605869 +316 588 1 880853992 +85 175 4 879828912 +124 50 3 890287508 +137 237 4 881432965 +13 567 1 882396955 +151 162 5 879528779 +187 116 5 879464978 +193 554 3 889126088 +49 741 4 888068079 +291 54 4 874834963 +316 292 4 880853072 +271 514 4 885848408 +194 404 3 879522445 +268 721 3 875743587 +277 1197 4 879543768 +301 606 3 882076890 +89 1048 3 879460027 +253 50 4 891628518 +102 732 3 888804089 +311 662 4 884365018 +201 943 3 884114275 +246 816 4 884925218 +172 488 3 875537965 +280 38 3 891701832 +43 1057 2 884029777 +311 661 3 884365075 +59 287 5 888203175 +268 83 4 875309344 +315 651 3 879799457 +145 299 4 875269822 +248 174 3 884534992 +327 191 4 887820828 +268 672 2 875744501 +297 286 5 874953892 +295 151 4 879517635 +13 877 2 882140792 +70 584 3 884150236 +145 460 1 875271312 +275 176 4 880314320 +48 259 4 879434270 +235 419 5 889655858 +83 413 1 891182379 +147 258 4 885594040 +92 521 4 875813412 +246 728 1 884923829 +43 284 5 883955441 +207 203 3 877124625 +234 485 3 892079434 +201 587 4 884140975 +286 689 5 884583549 +69 12 5 882145567 +237 494 4 879376553 +85 133 4 879453876 +276 85 3 874791871 +311 366 5 884366010 +320 399 3 884749411 +114 175 5 881259955 +42 121 4 881110578 +7 680 4 891350703 +154 302 4 879138235 +106 660 4 881451631 +313 71 4 891030144 +90 526 5 891383866 +94 186 4 891722278 +224 43 3 888104456 +44 230 2 883613335 +229 315 1 891632945 +151 480 5 879524151 +311 505 4 884365451 +320 202 4 884750946 +113 329 3 875935312 +255 859 3 883216748 +193 827 2 890859916 +276 789 3 874791623 +259 750 4 888630424 +204 172 3 892513819 +78 412 4 879634223 +85 98 4 879453716 +279 393 1 875314093 +222 323 3 877562839 +288 127 5 886374451 +42 606 3 881107538 +25 729 4 885852697 +119 213 5 874781257 +116 185 3 876453519 +123 13 3 879873988 +315 657 4 879821299 +142 243 1 888640199 +13 480 3 881515193 +201 326 2 884111095 +43 631 2 883955675 +195 387 4 891762491 +95 174 5 879196231 +130 332 4 876250582 +233 482 4 877661437 +44 530 5 878348725 +292 86 4 881105778 +176 294 2 886047220 +157 405 3 886890342 +207 787 3 876079054 +239 204 3 889180888 +251 144 5 886271920 +269 923 4 891447169 +178 148 4 882824325 +138 121 4 879023558 +30 82 4 875060217 +302 245 2 879436911 +34 690 4 888602513 +292 276 5 881103915 +271 11 4 885848408 +69 175 3 882145586 +42 456 3 881106113 +311 568 5 884365325 +183 241 4 892323453 +269 411 1 891451013 +288 196 5 886373474 +268 42 4 875310384 +308 634 4 887737334 +308 166 3 887737837 +57 831 1 883697785 +207 410 3 877838946 +271 211 5 885849164 +16 144 5 877721142 +90 603 5 891385132 +209 408 4 883417517 +299 238 4 877880852 +279 1228 4 890779991 +128 140 4 879968308 +307 173 5 879283786 +167 392 1 892738307 +22 791 1 878887227 +291 159 4 875087488 +194 705 2 879524007 +10 489 4 877892210 +95 128 3 879196354 +10 657 4 877892110 +59 855 4 888204502 +124 11 5 890287645 +7 133 5 891353192 +256 692 5 882165066 +85 629 3 879454685 +271 1266 2 885848943 +276 1416 3 874792634 +155 988 2 879371261 +318 476 4 884495164 +307 258 5 879283786 +28 7 5 881961531 +236 729 5 890118372 +38 672 3 892434800 +7 93 5 891351042 +255 217 2 883216600 +184 729 3 889909840 +154 175 5 879138784 +311 403 4 884365889 +116 301 3 892683732 +94 229 3 891722979 +221 508 4 875244160 +95 636 1 879196566 +44 56 2 878348601 +305 203 4 886323839 +207 508 4 877879259 +130 161 4 875802058 +98 163 3 880499053 +328 9 4 885045993 +178 218 3 882827776 +293 293 4 888904795 +162 742 4 877635758 +128 79 4 879967692 +307 1411 4 877124058 +269 514 4 891449123 +195 186 3 888737240 +327 533 4 887822530 +189 91 3 893265684 +206 1394 1 888179981 +95 143 4 880571951 +31 682 2 881547834 +94 157 5 891725332 +73 588 2 888625754 +256 819 4 882151052 +291 366 3 874868255 +222 153 4 878182416 +207 98 4 875509887 +222 298 4 877563253 +286 151 5 875806800 +116 262 3 876751342 +7 174 5 891350757 +148 495 4 877016735 +311 495 4 884366066 +178 255 4 882824001 +181 597 3 878963276 +123 847 4 879873193 +291 77 4 874834799 +237 528 5 879376606 +140 301 3 879013747 +290 222 4 880731778 +177 79 4 880130758 +65 202 4 879217852 +311 181 4 884364724 +125 796 3 892838591 +77 168 4 884752721 +58 960 4 884305004 +117 405 5 880126174 +248 127 5 884535084 +5 423 4 875636793 +254 286 1 887346861 +289 7 4 876789628 +241 294 3 887250085 +213 690 3 878870275 +99 508 4 885678840 +275 523 4 880314031 +168 284 2 884288112 +28 380 4 881961394 +144 31 3 888105823 +198 651 4 884207424 +181 1093 1 878962391 +221 268 5 876502910 +267 739 4 878973276 +129 303 3 883244011 +301 496 5 882075743 +94 33 3 891721919 +318 64 4 884495590 +298 477 4 884126202 +290 476 3 880475837 +16 942 4 877719863 +130 815 3 874953866 +181 304 1 878961586 +178 125 4 882824431 +42 506 3 881108760 +320 284 4 884748818 +138 151 4 879023389 +197 849 3 891410124 +215 157 4 891435573 +94 1119 4 891723261 +293 724 3 888907061 +79 246 5 891271545 +279 1492 4 888430806 +189 30 4 893266205 +233 806 4 880610396 +198 24 2 884205385 +222 172 5 878183079 +276 301 4 877584219 +70 417 3 884066823 +305 15 1 886322796 +201 370 1 884114506 +57 409 4 883697655 +13 314 1 884538485 +206 245 1 888179772 +125 173 5 879454100 +128 143 5 879967300 +92 763 3 886443192 +65 56 3 879217816 +236 506 5 890118153 +262 77 2 879794829 +90 958 4 891383561 +144 91 2 888106106 +63 841 1 875747917 +323 117 3 878739355 +197 176 5 891409798 +277 273 5 879544145 +176 288 3 886046979 +38 838 2 892433680 +99 546 4 885679353 +326 186 4 879877143 +59 663 4 888204928 +59 702 5 888205463 +26 15 4 891386369 +7 182 4 891350965 +112 354 3 891304031 +109 154 2 880578121 +121 405 2 891390579 +293 167 3 888907702 +297 198 3 875238923 +276 11 5 874787497 +222 210 4 878184338 +287 92 4 875334896 +62 443 3 879375080 +106 703 4 881450039 +276 1218 4 874792040 +230 210 5 880484975 +246 184 4 884921948 +22 511 4 878887983 +165 258 5 879525672 +161 174 2 891170800 +109 89 4 880573263 +305 87 1 886323153 +195 181 5 875771440 +7 193 5 892135346 +326 480 4 879875691 +77 125 3 884733014 +85 58 4 879829689 +186 588 4 879024535 +256 280 5 882151167 +84 529 5 883453108 +74 288 3 888333280 +102 432 3 883748418 +194 770 4 879525342 +267 114 5 878971514 +1 92 3 876892425 +16 504 5 877718168 +211 300 2 879461395 +90 31 4 891384673 +234 657 4 892079840 +60 1020 4 883327018 +92 947 4 875654929 +158 1 4 880132443 +87 1000 3 879877173 +276 104 1 874836682 +1 228 5 878543541 +42 143 4 881108229 +43 26 5 883954901 +299 1322 3 877878001 +130 200 5 875217392 +307 71 5 879283169 +147 339 5 885594204 +311 229 5 884365890 +296 286 5 884196209 +217 82 5 889069842 +80 886 4 883605238 +314 9 4 877886375 +64 527 4 879365590 +249 79 5 879572777 +21 298 5 874951382 +68 118 2 876974248 +215 151 5 891435761 +305 238 3 886323617 +308 417 3 887740254 +102 118 3 888801465 +189 120 1 893264954 +112 750 4 884992444 +130 622 3 875802173 +188 474 4 875072674 +56 585 3 892911366 +56 230 5 892676339 +20 11 2 879669401 +20 176 2 879669152 +222 25 3 877563437 +49 148 1 888068195 +307 431 4 877123333 +144 313 5 888103407 +23 404 4 874787860 +144 961 3 888106106 +160 3 3 876770124 +22 227 4 878888067 +79 508 3 891271676 +18 647 4 880129595 +151 481 3 879524669 +312 480 5 891698224 +256 29 4 882164644 +158 568 4 880134532 +311 141 4 884366187 +303 179 5 879466491 +25 478 5 885852271 +195 407 2 877835302 +152 147 3 880149045 +145 1001 4 875271607 +151 260 1 879523998 +194 576 2 879528568 +271 624 2 885849558 +162 121 4 877636000 +313 65 2 891016962 +6 532 3 883600066 +22 433 3 878886479 +13 915 5 892015023 +327 461 3 887746665 +200 402 4 884129029 +271 22 5 885848518 +269 478 4 891448980 +315 431 2 879821300 +178 121 5 882824291 +210 502 3 891035965 +76 135 5 875028792 +318 648 5 884495534 +279 1291 4 875297708 +75 121 4 884050450 +90 618 5 891385335 +44 174 5 878347662 +293 729 2 888907145 +217 195 5 889069709 +224 708 2 888104153 +246 121 4 884922627 +284 906 3 885328836 +301 172 5 882076403 +244 31 4 880603484 +95 395 3 888956928 +303 330 3 879552065 +198 640 3 884208651 +256 802 3 882164955 +46 690 5 883611274 +305 209 5 886322966 +83 364 1 886534501 +224 1208 1 888104554 +295 67 4 879519042 +116 248 3 876452492 +201 37 2 884114635 +155 748 2 879371261 +318 508 4 884494976 +274 288 4 878944379 +263 333 2 891296842 +145 172 5 882181632 +188 191 3 875073128 +119 313 5 886176135 +270 306 5 876953744 +262 91 3 879792713 +131 845 4 883681351 +250 260 4 878089144 +33 307 3 891964148 +37 183 4 880930042 +6 211 5 883601155 +85 517 5 879455238 +308 164 4 887738664 +42 746 3 881108279 +102 1025 2 883278200 +311 70 4 884364999 +181 1322 1 878962086 +17 508 3 885272779 +174 396 1 886515104 +125 150 1 879454892 +181 1364 1 878962464 +235 511 5 889655162 +1 266 1 885345728 +295 727 5 879517682 +56 194 5 892676908 +83 1035 4 880308959 +100 355 4 891375313 +106 828 2 883876872 +270 327 5 876953900 +181 680 1 878961709 +115 228 4 881171488 +286 771 2 877535119 +234 151 3 892334481 +16 92 4 877721905 +130 410 5 875802105 +271 121 2 885848132 +320 1157 4 884751336 +189 462 5 893265741 +313 31 4 891015486 +49 238 4 888068762 +60 79 4 883326620 +13 226 4 882397651 +1 121 4 875071823 +150 246 5 878746719 +13 548 3 882398743 +179 751 1 892151565 +222 426 1 878181351 +7 614 5 891352489 +157 1132 3 886891132 +193 368 1 889127860 +130 993 5 874953665 +166 322 5 886397723 +62 4 4 879374640 +253 183 5 891628341 +261 117 4 890455974 +269 1020 4 891449571 +269 136 4 891449075 +322 197 5 887313983 +7 647 5 891352489 +112 748 3 884992651 +170 245 5 884103758 +271 823 3 885848237 +294 288 5 877818729 +151 522 5 879524443 +311 213 4 884365075 +26 257 3 891371596 +291 627 4 875086991 +26 7 3 891350826 +221 468 3 875246824 +318 204 5 884496218 +87 996 3 879876848 +279 88 1 882146554 +279 562 3 890451433 +207 14 4 875504876 +279 163 5 875313311 +230 238 1 880484778 +94 235 4 891722980 +293 931 1 888905252 +121 86 5 891388286 +198 180 3 884207298 +292 653 4 881105442 +92 781 3 875907649 +291 572 3 874834944 +48 690 4 879434211 +102 264 2 883277645 +1 114 5 875072173 +180 79 3 877442037 +255 879 3 883215660 +250 2 4 878090414 +119 716 5 874782190 +101 282 3 877135883 +244 220 2 880605264 +67 1 3 875379445 +291 99 4 875086887 +59 238 5 888204553 +311 73 4 884366187 +177 919 4 880130736 +1 132 4 878542889 +144 778 4 888106044 +1 74 1 889751736 +268 68 4 875744173 +232 705 5 888549838 +49 758 1 888067596 +102 313 3 887048184 +279 1093 4 875298330 +279 1493 1 888465068 +22 173 5 878886368 +122 715 5 879270741 +145 315 5 883840797 +119 1101 5 874781779 +261 259 4 890454843 +1 134 4 875073067 +94 45 5 886008764 +330 11 4 876546561 +291 741 5 874834481 +6 180 4 883601311 +188 88 4 875075300 +299 921 3 889502087 +253 203 4 891628651 +215 194 4 891436150 +291 273 3 874833705 +303 867 3 879484373 +6 477 1 883599509 +307 1110 4 877122208 +130 876 4 874953291 +95 483 3 879198697 +74 326 4 888333329 +13 305 4 881514811 +4 260 4 892004275 +261 294 4 890454217 +159 259 4 893255969 +137 55 5 881433689 +174 699 5 886514220 +286 158 3 877533472 +87 1183 3 879875995 +270 230 3 876955868 +91 172 4 891439208 +296 272 5 884198772 +125 483 4 879454628 +62 1118 3 879375537 +328 200 4 885046420 +296 510 5 884197264 +234 500 3 892078890 +237 100 5 879376381 +150 13 4 878746889 +301 610 3 882077176 +151 25 4 879528496 +271 8 4 885848770 +87 303 3 879875471 +293 1220 2 888907552 +113 294 4 875935277 +311 518 3 884365451 +181 123 2 878963276 +328 905 3 888641999 +110 301 2 886987505 +288 742 3 886893063 +111 887 3 891679692 +194 196 3 879524007 +239 605 4 889180446 +109 5 3 880580637 +291 824 4 874833962 +16 168 4 877721142 +14 357 2 890881294 +22 687 1 878887476 +207 746 4 877878342 +312 1299 4 891698832 +268 250 4 875742530 +68 411 1 876974596 +195 887 4 886782489 +271 50 5 885848640 +74 9 4 888333458 +308 802 3 887738717 +144 66 4 888106078 +195 14 4 890985390 +18 199 3 880129769 +13 918 3 892524090 +174 41 1 886515063 +109 159 4 880578121 +227 293 5 879035387 +233 357 5 877661553 +264 475 5 886122706 +205 678 1 888284618 +275 1066 3 880313679 +56 68 3 892910913 +78 1160 5 879634134 +130 682 4 881076059 +127 380 5 884364950 +130 568 5 876251693 +58 1100 2 884304979 +49 473 3 888067164 +13 273 3 882397502 +203 336 3 880433474 +330 136 5 876546378 +109 195 5 880578038 +186 406 1 879023272 +293 148 1 888907015 +280 1028 5 891702276 +143 331 5 888407622 +183 96 3 891463617 +60 699 4 883327539 +178 131 4 882827947 +297 216 4 875409423 +59 1117 4 888203313 +276 429 5 874790972 +179 258 5 892151270 +87 386 2 879877006 +198 1169 4 884208834 +119 54 4 886176814 +297 20 4 874954763 +1 98 4 875072404 +268 205 5 875309859 +279 174 4 875306636 +64 187 5 889737395 +119 1262 3 890627252 +75 1017 5 884050502 +27 742 3 891543129 +307 21 4 876433101 +37 685 3 880915528 +82 15 3 876311365 +244 238 5 880606118 +271 274 3 885848014 +174 1014 3 890664424 +210 135 5 887736352 +262 258 4 879961282 +320 68 5 884749327 +85 660 4 879829618 +311 348 4 884364108 +82 208 3 878769815 +1 186 4 875073128 +145 368 3 888398492 +276 401 3 874792094 +23 213 3 874785675 +64 515 5 889737478 +63 237 3 875747342 +293 227 2 888906990 +322 32 5 887314417 +74 285 3 888333428 +297 202 3 875238638 +82 216 4 878769949 +280 145 3 891702198 +200 227 5 884129006 +290 21 3 880475695 +43 820 2 884029742 +95 573 1 888954808 +181 20 1 878962919 +178 926 4 882824671 +81 476 2 876534124 +194 410 3 879541042 +325 402 2 891479706 +276 347 4 885159630 +207 133 4 875812281 +87 135 5 879875649 +331 7 4 877196633 +315 8 3 879820961 +106 435 3 881452355 +286 83 5 877531975 +87 157 3 879877799 +87 163 4 879877083 +286 655 3 889651746 +232 8 2 888549757 +254 380 4 886474456 +96 91 5 884403250 +232 1 4 880062302 +315 98 4 879821193 +43 553 4 875981159 +305 679 3 886324792 +61 690 2 891206407 +44 665 1 883613372 +92 1016 2 875640582 +168 255 1 884287560 +276 270 4 879131395 +328 568 3 885047896 +222 1053 3 881060735 +93 222 4 888705295 +330 235 5 876544690 +82 504 4 878769917 +2 314 1 888980085 +89 732 5 879459909 +38 216 5 892430486 +308 85 4 887741245 +24 153 4 875323368 +235 1464 4 889655266 +1 221 5 887431921 +222 715 2 878183924 +222 69 5 878182338 +43 114 5 883954950 +331 486 3 877196308 +223 322 4 891548920 +201 452 1 884114770 +158 271 4 880132232 +32 249 4 883717645 +314 90 2 877888758 +313 245 3 891013144 +102 576 2 888802722 +211 526 4 879459952 +268 425 4 875310549 +332 770 3 888098170 +38 508 2 892429399 +280 975 4 891702252 +10 463 4 877889186 +92 386 3 875907727 +268 374 2 875744895 +69 258 4 882027204 +210 96 4 887736616 +213 144 5 878956047 +254 50 5 886471151 +58 272 5 884647314 +327 210 3 887744065 +291 385 4 874835141 +291 324 1 874805453 +246 596 3 884921511 +11 714 4 891904214 +329 100 4 891655812 +86 258 5 879570366 +7 621 5 892132773 +246 80 2 884923329 +308 481 4 887737997 +54 820 3 880937992 +177 651 3 880130862 +10 655 5 877891904 +83 631 2 887664566 +145 993 3 875270616 +255 185 4 883216449 +18 607 3 880131752 +226 180 4 883889322 +234 616 2 892334976 +274 25 5 878945541 +293 156 4 888905948 +83 476 3 880307359 +295 173 5 879518257 +286 1039 5 877531730 +42 48 5 881107821 +208 204 3 883108360 +232 275 2 885939945 +267 94 3 878972558 +271 242 4 885844495 +125 97 3 879454385 +323 333 4 878738865 +305 56 1 886323068 +145 250 5 882182944 +38 1030 5 892434475 +202 515 1 879726778 +181 975 2 878963343 +332 566 4 888360342 +108 13 3 879879834 +194 520 5 879545114 +144 62 2 888105902 +194 1183 2 879554453 +148 172 5 877016513 +144 1147 4 888105587 +269 961 5 891457067 +290 71 5 880473667 +249 597 2 879640436 +65 676 5 879217689 +301 395 1 882079384 +267 546 3 878970877 +207 754 4 879577345 +201 777 1 884112673 +314 1095 3 877887356 +210 631 5 887736796 +22 456 1 878887413 +59 931 2 888203610 +92 715 4 875656288 +50 475 5 877052167 +188 159 3 875074589 +303 700 3 879485718 +197 288 3 891409387 +244 676 4 880604858 +44 88 2 878348885 +164 597 4 889402225 +11 230 4 891905783 +6 297 3 883599134 +186 925 5 879023152 +190 147 4 891033863 +184 1137 5 889907812 +85 269 3 891289966 +185 127 5 883525183 +44 257 4 878346689 +293 484 5 888906217 +150 1 4 878746441 +60 179 4 883326566 +75 147 3 884050134 +269 640 5 891457067 +138 493 4 879024382 +299 271 3 879737472 +92 928 3 886443582 +299 24 3 877877732 +292 183 5 881103478 +5 394 2 879198031 +62 559 3 879375912 +198 549 3 884208518 +288 1039 2 886373565 +152 272 5 890322298 +42 999 4 881108982 +64 333 3 879365313 +99 682 2 885678371 +59 121 4 888203313 +135 233 3 879857843 +7 22 5 891351121 +24 427 5 875323002 +144 747 5 888105473 +261 322 4 890454974 +201 475 4 884112748 +133 258 5 890588639 +110 245 3 886987540 +5 384 3 875636389 +139 268 4 879537876 +112 322 4 884992690 +234 596 2 891227979 +301 184 4 882077222 +291 1471 3 874834914 +285 216 3 890595900 +85 53 3 882995643 +275 183 3 880314500 +296 275 4 884196555 +271 197 4 885848915 +29 748 2 882821558 +221 172 5 875245907 +323 9 4 878739325 +111 340 4 891679692 +95 176 3 879196298 +207 170 4 877125221 +136 276 5 882693489 +124 616 4 890287645 +185 528 4 883526268 +167 404 3 892738278 +286 341 5 884069544 +84 322 3 883449567 +151 529 5 879542610 +264 401 5 886123656 +289 1 3 876789736 +144 64 5 888105140 +56 29 3 892910913 +23 528 4 874786974 +328 742 4 885047309 +125 785 3 892838558 +200 72 4 884129542 +249 23 4 879572432 +130 56 5 875216283 +140 319 4 879013617 +49 102 2 888067164 +158 483 5 880133225 +222 58 3 878182479 +194 213 2 879523575 +177 89 5 880131088 +7 268 3 891350703 +59 549 4 888205659 +145 411 2 875271522 +265 7 2 875320689 +248 282 2 884535582 +239 47 2 889180169 +319 879 5 876280338 +42 102 5 881108873 +301 1035 4 882078809 +326 69 2 879874964 +180 67 1 877127591 +280 99 2 891700475 +145 682 3 879161624 +214 79 4 891544306 +259 210 4 874725485 +57 864 3 883697512 +261 597 4 890456142 +136 298 4 882693569 +293 705 5 888906338 +194 470 3 879527421 +75 496 5 884051921 +202 172 3 879726778 +23 183 3 874785728 +38 403 1 892432205 +52 1009 5 882922328 +95 720 2 879196513 +65 97 5 879216605 +207 290 2 878104627 +201 2 2 884112487 +190 751 4 891033606 +162 685 3 877635917 +221 250 5 875244633 +92 134 4 875656623 +49 695 3 888068957 +102 391 2 888802767 +6 500 4 883601277 +152 25 3 880149045 +145 278 4 875272871 +328 271 3 885044607 +116 750 4 886309481 +90 237 4 891385215 +221 318 5 875245690 +128 283 5 879966729 +94 467 4 885873423 +221 1218 3 875246745 +281 332 4 881200603 +294 539 4 889241707 +300 948 4 875650018 +326 153 4 879875751 +62 28 3 879375169 +159 249 4 884027269 +76 811 4 882606323 +74 237 4 888333428 +81 411 2 876534244 +280 227 3 891702153 +224 22 5 888103581 +64 77 3 889737420 +194 756 1 879549899 +15 20 3 879455541 +43 328 4 875975061 +244 100 4 880604252 +327 805 4 887819462 +21 928 3 874951616 +83 254 2 880327839 +14 22 3 890881521 +318 610 5 884496525 +92 756 3 886443582 +222 1078 2 878183449 +62 157 3 879374686 +13 840 3 886261387 +271 300 2 885844583 +59 13 5 888203415 +208 514 4 883108324 +289 815 3 876789581 +279 249 3 878878420 +326 50 5 879875112 +73 12 5 888624976 +28 234 4 881956144 +6 95 2 883602133 +90 354 3 891382240 +96 519 4 884402896 +7 627 3 891352594 +254 649 1 886474619 +328 519 5 885046420 +247 751 3 893081411 +45 472 3 881014417 +323 127 5 878739137 +268 566 3 875744321 +291 816 3 874867852 +59 405 3 888203578 +200 409 2 884127431 +332 975 3 887938631 +239 612 5 889178616 +22 399 4 878887157 +267 147 3 878970681 +235 319 4 889654419 +87 70 5 879876448 +216 143 2 881428956 +268 121 2 875743141 +239 317 5 889179291 +269 922 5 891457067 +207 468 4 877124806 +270 148 4 876954062 +184 559 3 889910418 +304 271 4 884968415 +331 479 2 877196504 +157 283 4 886890692 +239 183 5 889180071 +261 339 5 890454351 +301 58 4 882077285 +145 339 3 882181058 +10 321 4 879163494 +48 308 5 879434292 +321 631 4 879440264 +32 591 3 883717581 +125 1036 2 892839191 +1 84 4 875072923 +21 742 3 874951617 +22 186 5 878886368 +292 324 3 881104533 +72 129 4 880035588 +256 642 4 882164893 +92 1095 2 886443728 +73 475 4 888625753 +290 274 4 880731874 +83 543 2 887665445 +56 597 3 892679439 +83 216 4 880307846 +215 22 3 891435161 +101 369 2 877136928 +328 521 4 885047484 +307 175 4 877117651 +201 23 4 884111830 +197 570 4 891410124 +26 286 3 891347400 +90 489 5 891384357 +98 517 5 880498990 +57 250 3 883697223 +163 288 3 891220226 +1 31 3 875072144 +104 324 1 888442404 +333 894 3 891045496 +311 22 4 884364538 +237 211 4 879376515 +44 603 4 878347420 +22 96 5 878887680 +213 546 4 878870903 +257 258 3 879029516 +327 300 2 887743541 +279 1017 3 875296891 +53 845 3 879443083 +85 97 2 879829667 +43 286 4 875975028 +181 7 4 878963037 +297 574 1 875239092 +201 651 4 884111217 +320 99 4 884751440 +94 180 5 885870284 +235 85 4 889655232 +305 131 3 886323440 +234 229 4 892334189 +328 591 3 885047018 +328 754 4 885044607 +258 323 4 885701062 +3 323 2 889237269 +16 70 4 877720118 +286 425 2 877532013 +327 702 2 887819021 +200 265 5 884128372 +207 131 3 878104377 +292 10 5 881104606 +214 179 5 892668130 +155 321 4 879370963 +106 213 4 881453065 +200 586 4 884130391 +305 216 5 886323563 +279 1113 3 888806035 +178 984 2 882823530 +331 133 3 877196443 +58 45 5 884305295 +167 1306 5 892738385 +151 191 3 879524326 +326 168 3 879874859 +297 443 2 875240133 +191 288 3 891562090 +81 471 3 876533586 +284 258 4 885329146 +5 267 4 875635064 +150 325 1 878747322 +257 59 5 879547440 +145 443 3 882182658 +271 191 5 885848448 +176 297 3 886047918 +158 38 4 880134607 +152 716 5 884019001 +232 638 5 888549988 +109 930 3 880572351 +243 660 4 879988422 +57 744 5 883698581 +145 1057 1 875271312 +235 275 5 889655550 +181 124 1 878962550 +145 182 5 885622510 +249 476 3 879640481 +44 11 3 878347915 +194 566 4 879522819 +109 218 4 880578633 +49 10 3 888066086 +269 210 1 891449608 +87 233 4 879876036 +314 791 4 877889398 +292 132 4 881105340 +7 300 4 891350703 +291 460 5 874834254 +292 176 5 881103478 +290 1028 3 880732365 +122 427 3 879270165 +17 151 4 885272751 +59 47 5 888205574 +29 689 2 882821705 +274 411 3 878945888 +190 340 1 891033153 +213 50 5 878870456 +14 111 3 876965165 +321 131 4 879439883 +221 1314 3 875247833 +195 100 5 875771440 +236 187 3 890118340 +92 619 4 875640487 +303 576 3 879485417 +42 210 5 881108633 +246 423 3 884920900 +181 823 2 878963343 +197 231 3 891410124 +181 369 3 878963418 +130 172 5 875801530 +276 1131 3 874796116 +252 742 4 891455743 +221 1067 3 875244387 +292 488 5 881105657 +177 124 3 880130881 +42 785 4 881109060 +1 70 3 875072895 +13 178 4 882139829 +76 276 5 875027601 +269 72 2 891451470 +3 331 4 889237455 +290 429 4 880474606 +159 815 3 880557387 +248 474 2 884534672 +214 1065 5 892668173 +30 181 4 875060217 +8 182 5 879362183 +238 118 3 883576509 +249 176 4 879641109 +264 1069 5 886123728 +98 655 3 880498861 +123 275 4 879873726 +181 688 1 878961668 +7 162 5 891353444 +119 269 3 892564213 +181 457 1 878961474 +138 483 5 879024280 +56 63 3 892910268 +291 122 3 874834289 +326 468 3 879875572 +92 175 4 875653549 +293 654 5 888905760 +162 1047 5 877635896 +303 549 3 879484846 +325 504 3 891477905 +267 654 5 878971902 +130 546 4 876250932 +216 577 1 881432453 +301 53 1 882078883 +91 423 5 891439090 +301 384 5 882079315 +291 672 3 874867741 +18 196 3 880131297 +195 1084 4 888737345 +222 939 3 878182211 +327 274 2 887819462 +254 577 1 886476092 +332 693 5 888098538 +267 55 4 878972785 +16 443 5 877727055 +158 79 4 880134332 +305 14 4 886322893 +87 67 4 879877007 +313 175 4 891014697 +43 498 5 875981275 +234 1035 3 892335142 +90 11 4 891384113 +230 196 5 880484755 +1 60 5 875072370 +262 185 3 879793164 +221 1407 3 875247833 +279 382 4 875312947 +211 678 3 879461394 +287 1016 5 875334430 +167 603 4 892738212 +119 154 5 874782022 +126 878 5 887938392 +60 474 5 883326028 +296 427 5 884198772 +300 243 4 875650068 +194 971 3 879551049 +83 186 4 880308601 +207 1242 5 884386260 +311 1116 3 884364623 +181 406 1 878962955 +130 550 5 878537602 +245 222 4 888513212 +168 235 2 884288270 +256 756 4 882151167 +1 177 5 876892701 +59 10 4 888203234 +223 258 1 891548802 +243 225 3 879987655 +148 1149 5 877016513 +10 48 4 877889058 +178 549 4 882827689 +295 4 4 879518568 +99 124 2 885678886 +334 117 3 891544735 +263 523 5 891298107 +230 402 5 880485445 +152 132 5 882475496 +189 45 3 893265657 +130 231 3 875801422 +334 282 4 891544925 +91 193 3 891439057 +244 97 2 880605514 +83 866 3 883867947 +222 217 3 881060062 +10 203 4 877891967 +173 300 4 877556988 +269 168 4 891448850 +292 100 5 881103999 +60 508 4 883327368 +197 431 3 891409935 +313 265 4 891016853 +234 506 4 892318107 +234 959 2 892334189 +154 484 4 879139096 +14 56 5 879119579 +201 1211 3 884113806 +181 359 1 878961668 +52 748 4 882922629 +308 579 3 887740700 +212 515 4 879303571 +13 42 4 882141393 +268 99 3 875744744 +119 245 4 886176618 +44 202 4 878347315 +126 884 5 887938392 +159 111 4 880556981 +90 301 4 891382392 +320 42 4 884751712 +301 25 3 882075110 +114 269 4 881256090 +9 691 5 886960055 +315 17 1 879821003 +137 195 5 881433689 +183 562 3 891467003 +297 301 4 876529834 +334 603 5 891628849 +18 954 3 880130640 +152 97 5 882475618 +184 498 5 889913687 +325 430 5 891478028 +39 315 4 891400094 +231 127 3 879965565 +302 309 2 879436820 +63 150 4 875747292 +201 375 3 884287140 +200 103 2 891825521 +13 94 3 882142057 +297 22 4 875238984 +201 844 2 884112537 +14 93 3 879119311 +240 343 3 885775831 +184 716 3 889909987 +216 12 5 881432544 +38 122 1 892434801 +257 276 5 882049973 +256 778 4 882165103 +200 229 5 884129696 +148 177 2 877020715 +249 22 5 879572926 +184 47 4 889909640 +276 58 4 874791169 +268 432 3 875310145 +224 258 3 888081947 +145 25 2 875270655 +298 261 4 884126805 +244 743 5 880602170 +289 410 2 876790361 +59 132 5 888205744 +301 1112 4 882079294 +56 1090 3 892683641 +327 192 5 887820828 +285 288 5 890595584 +133 328 3 890588577 +71 346 4 885016248 +293 1132 3 888905416 +13 908 1 886302385 +1 27 2 876892946 +271 172 5 885848616 +286 269 5 879780839 +49 926 1 888069117 +290 153 3 880475310 +226 270 4 883888639 +104 122 3 888465739 +311 233 4 884365889 +60 178 5 883326399 +200 191 5 884128554 +128 276 4 879967550 +157 748 2 886890015 +303 460 4 879543600 +5 445 3 875720744 +268 540 1 875542174 +290 218 2 880475542 +181 1346 1 878962086 +189 276 3 893264300 +90 659 4 891384357 +321 134 3 879438607 +279 108 4 892174381 +197 770 3 891410082 +217 566 4 889069903 +193 682 1 889123377 +34 310 4 888601628 +293 157 5 888905779 +297 300 3 874953892 +24 742 4 875323915 +259 405 3 874725120 +303 1007 5 879544576 +326 282 2 879875964 +10 218 4 877889261 +334 635 2 891548155 +272 8 4 879455015 +76 1129 5 875028075 +13 300 1 881515736 +194 431 4 879524291 +256 291 5 882152630 +148 185 1 877398385 +276 318 5 874787496 +227 126 4 879035158 +311 553 3 884365451 +198 427 4 884207009 +13 180 5 882141248 +286 100 3 876521650 +271 451 3 885849447 +59 318 5 888204349 +328 655 4 886037429 +25 174 5 885853415 +90 971 4 891385250 +157 150 5 874813703 +106 69 4 881449886 +173 322 4 877557028 +276 1135 4 874791527 +276 76 4 874791506 +49 546 1 888069636 +115 234 5 881171982 +307 22 3 879205470 +82 218 3 878769748 +116 1082 3 876453171 +80 50 3 887401533 +59 381 5 888205659 +236 143 4 890116163 +56 174 5 892737191 +82 413 1 884714593 +82 69 4 878769948 +144 727 3 888105765 +7 526 5 891351042 +49 531 3 888066511 +1 260 1 875071713 +243 129 2 879987526 +313 488 5 891013496 +207 273 4 878104569 +334 222 4 891544904 +83 95 4 880308453 +162 230 2 877636860 +326 496 5 879874825 +236 686 3 890118372 +17 9 3 885272558 +92 1215 2 890251747 +82 147 3 876311473 +201 242 4 884110598 +223 237 5 891549657 +168 295 4 884287615 +186 977 3 879023273 +246 356 2 884923047 +62 135 4 879375080 +320 456 3 884748904 +48 603 4 879434607 +209 269 2 883589606 +236 1328 4 890116132 +92 673 4 875656392 +71 285 3 877319414 +5 167 2 875636281 +67 240 5 875379566 +188 554 2 875074891 +326 54 3 879876300 +234 462 4 892079840 +31 302 4 881547719 +228 886 1 889387173 +172 603 3 875538027 +314 1139 5 877888480 +297 652 3 875239346 +264 659 5 886122577 +118 174 5 875385007 +216 286 4 881432501 +290 1013 2 880732131 +256 278 5 882151517 +200 820 3 884127370 +49 312 3 888065786 +118 433 5 875384793 +293 195 3 888906119 +13 29 2 882397833 +42 405 4 881105541 +293 566 3 888907312 +125 158 4 892839066 +315 230 4 879821300 +296 83 5 884199624 +188 204 4 875073478 +201 4 4 884111830 +253 747 3 891628501 +315 531 5 879799457 +210 134 5 887736070 +119 1170 3 890627339 +151 509 4 879524778 +81 273 4 876533710 +324 748 5 880575108 +43 15 5 875975546 +298 432 4 884183307 +250 127 4 878089881 +286 1265 5 884069544 +203 294 2 880433398 +267 226 3 878972463 +194 735 4 879524718 +303 99 4 879467514 +193 195 1 889124507 +57 588 4 883698454 +92 672 3 875660028 +207 269 4 877845577 +325 154 3 891478480 +280 86 4 891700475 +197 449 5 891410124 +39 352 5 891400704 +197 510 5 891409935 +117 1 4 880126083 +132 922 5 891278996 +271 180 5 885849087 +222 433 4 881059876 +103 117 4 880416313 +201 26 4 884111927 +270 387 5 876955689 +104 100 4 888465166 +95 96 4 879196298 +130 204 5 875216718 +290 239 2 880474451 +314 833 4 877887155 +313 969 4 891015387 +295 722 4 879518881 +269 412 3 891446904 +49 1 2 888068651 +332 228 5 888359980 +301 11 4 882076291 +125 434 4 879454100 +336 66 3 877756126 +1 145 2 875073067 +327 230 4 887820448 +262 292 4 879961282 +313 205 5 891013652 +321 523 3 879440687 +248 185 3 884534772 +38 384 5 892433660 +224 778 1 888104057 +217 1222 1 889070050 +6 475 5 883599478 +331 47 5 877196235 +38 423 5 892430071 +1 174 5 875073198 +308 60 3 887737760 +207 642 3 875991116 +215 1039 5 891436543 +56 239 4 892676970 +109 1011 3 880571872 +10 124 5 877888545 +320 210 5 884749227 +269 180 3 891448120 +290 380 3 880731766 +311 205 5 884365357 +129 270 3 883243934 +109 281 2 880571919 +235 898 3 889654553 +335 328 3 891566903 +13 508 3 882140426 +201 558 2 884112537 +276 801 3 877935306 +81 118 2 876533764 +288 200 4 886373534 +263 97 4 891299387 +293 87 4 888907015 +136 117 4 882694498 +318 660 3 884497207 +295 405 5 879518319 +201 480 4 884111598 +232 708 4 888550060 +197 566 4 891409893 +313 180 5 891014898 +109 230 5 880579107 +168 596 4 884287615 +201 980 3 884140927 +222 554 2 881060435 +115 11 4 881171348 +334 224 2 891545020 +119 697 5 874782068 +198 385 3 884208778 +91 507 4 891438977 +62 281 3 879373118 +239 98 5 889180410 +324 1033 4 880575589 +201 823 3 884140975 +322 50 5 887314418 +107 305 4 891264327 +64 2 3 889737609 +28 50 4 881957090 +246 202 3 884922272 +168 1197 5 884287927 +34 259 2 888602808 +286 465 5 889651698 +184 521 4 889908873 +106 286 4 881449486 +198 1117 3 884205252 +291 53 5 874834827 +25 477 4 885853155 +1 159 3 875073180 +181 1393 1 878961709 +169 301 4 891268622 +60 172 4 883326339 +178 427 5 882826162 +149 327 2 883512689 +280 96 4 891700664 +205 984 1 888284710 +92 431 4 875660164 +244 369 4 880605294 +308 291 3 887739472 +235 684 4 889655162 +218 194 3 877488546 +307 313 5 888095725 +18 69 3 880129527 +23 215 2 874787116 +184 132 5 889913687 +244 237 5 880602334 +211 181 1 879461498 +236 696 2 890117223 +145 672 3 882182689 +235 648 4 889655662 +116 1016 2 876453376 +178 358 1 888512993 +11 561 2 891905936 +329 512 4 891656347 +183 405 4 891464393 +308 467 4 887737194 +207 576 3 877822904 +198 249 2 884205277 +100 750 4 891375016 +291 168 5 874871800 +115 762 4 881170508 +151 169 5 879524268 +305 403 2 886324792 +338 494 3 879438570 +292 525 5 881105701 +234 671 3 892336257 +234 584 3 892333653 +279 275 3 875249232 +234 638 4 892335989 +110 79 4 886988480 +106 273 3 881453290 +128 111 3 879969215 +298 151 3 884183952 +42 845 5 881110719 +128 747 3 879968742 +190 717 3 891042938 +1 82 5 878542589 +99 421 3 885680772 +313 208 3 891015167 +13 45 3 882139863 +305 302 4 886307860 +94 185 5 885873684 +271 204 4 885848314 +128 83 5 879967691 +267 50 5 878974783 +142 189 4 888640317 +1 56 4 875072716 +18 214 4 880132078 +188 234 4 875073048 +235 100 4 889655550 +303 408 4 879467035 +100 266 2 891375484 +178 302 4 892239796 +42 781 4 881108280 +18 488 3 880130065 +184 14 4 889907738 +293 521 3 888906288 +293 849 2 888907891 +198 156 3 884207058 +234 966 4 892334189 +181 1351 1 878962168 +194 153 3 879546723 +1 272 3 887431647 +265 279 2 875320462 +159 323 4 880485443 +332 229 5 888360342 +334 229 2 891549777 +126 258 4 887853919 +200 225 4 876042299 +63 246 3 875747514 +271 134 3 885848518 +179 316 5 892151202 +308 959 3 887739335 +270 70 5 876955066 +181 1198 1 878962585 +21 445 3 874951658 +326 675 4 879875457 +268 823 2 875742942 +109 845 4 880571684 +339 132 5 891032953 +244 95 4 880606418 +62 702 2 879376079 +321 615 5 879440109 +254 141 3 886472836 +295 423 4 879517372 +271 241 3 885849207 +7 519 4 891352831 +334 52 4 891548579 +136 14 5 882693338 +192 1160 4 881367456 +259 176 4 874725386 +244 509 5 880606017 +238 815 2 883576398 +73 127 5 888625200 +249 455 4 879640326 +320 291 4 884749014 +13 820 4 882398743 +10 283 4 877892276 +321 207 3 879440244 +201 991 4 884110735 +102 559 3 888803052 +190 742 3 891033841 +311 99 5 884365075 +309 333 3 877370419 +62 685 2 879373175 +116 187 5 886310197 +295 966 5 879518060 +234 72 3 892335674 +255 984 1 883215902 +161 582 1 891170800 +87 550 4 879876074 +59 559 5 888206562 +140 322 3 879013684 +224 301 3 888082013 +90 486 5 891383912 +14 792 5 879119651 +194 216 3 879523785 +222 501 2 881060331 +90 311 4 891382163 +328 43 3 886038224 +7 633 5 891351509 +151 228 5 879524345 +297 223 5 875238638 +207 529 4 878191679 +130 930 3 876251072 +314 743 1 877886443 +181 926 1 878962866 +13 509 5 882140691 +232 523 4 888549757 +201 87 3 884111775 +223 470 4 891550767 +18 602 3 880131407 +82 495 3 878769668 +144 403 3 888105636 +186 322 5 879022927 +250 174 3 878092104 +321 194 3 879441225 +28 12 4 881956853 +28 895 4 882826398 +151 405 3 879543055 +207 1102 3 880839891 +201 164 3 884112627 +6 509 4 883602664 +42 380 4 881108548 +221 895 2 885081339 +328 10 4 885047099 +270 159 4 876956233 +269 340 5 891446132 +216 249 3 880232917 +201 1424 3 884113114 +85 86 4 879454189 +95 843 4 880572448 +306 275 4 876503894 +256 235 3 882153668 +85 692 3 879828490 +11 312 4 891902157 +305 210 3 886323006 +181 321 2 878961623 +151 7 4 879524610 +296 961 5 884197287 +119 595 3 874781067 +314 929 3 877887356 +279 363 5 890451473 +188 357 4 875073647 +214 872 2 891542492 +234 209 4 892317967 +5 426 3 878844510 +1 80 4 876893008 +246 578 2 884923306 +294 979 3 877819897 +314 73 4 877889205 +312 98 4 891698300 +208 662 4 883108842 +43 382 5 883955702 +254 596 4 886473852 +3 294 2 889237224 +44 153 4 878347234 +25 742 4 885852569 +94 79 4 885882967 +262 406 3 879791537 +35 1025 3 875459237 +148 501 4 877020297 +70 423 5 884066910 +83 265 5 880308186 +5 222 4 875635174 +308 1028 2 887738972 +109 62 3 880578711 +49 173 3 888067691 +314 468 4 877892214 +334 1163 4 891544764 +269 205 3 891447841 +38 318 3 892430071 +102 222 3 888801406 +329 297 4 891655868 +305 1411 3 886324865 +236 289 4 890117820 +313 131 4 891015513 +332 284 5 887938245 +121 121 2 891388501 +60 183 5 883326399 +339 1030 1 891036707 +296 544 4 884196938 +11 720 1 891904717 +263 272 5 891296919 +303 203 5 879467669 +288 182 4 886374497 +291 17 4 874834850 +308 628 3 887738104 +13 755 3 882399014 +64 231 3 889740880 +277 24 4 879543931 +130 572 3 878537853 +293 386 2 888908065 +279 368 1 886016352 +189 253 4 893264150 +296 32 4 884197131 +305 169 5 886322893 +303 262 5 879466065 +95 211 3 879197652 +207 1098 4 877879172 +110 1248 3 886989126 +312 408 4 891698174 +279 1413 5 875314434 +15 301 4 879455233 +116 484 4 886310197 +198 51 3 884208455 +13 2 3 882397650 +332 232 5 888098373 +44 55 4 878347455 +62 716 4 879375951 +148 529 5 877398901 +303 421 4 879466966 +276 56 5 874791623 +311 484 4 884366590 +58 475 5 884304609 +85 488 4 879455197 +330 584 3 876547220 +181 1067 1 878962550 +301 515 3 882074561 +13 830 1 882397581 +127 268 1 884363990 +37 56 5 880915810 +314 924 5 877886921 +201 210 2 884111270 +198 511 4 884208326 +94 742 3 891722214 +209 258 2 883589626 +305 610 3 886324128 +67 405 5 875379794 +294 120 2 889242937 +246 98 4 884921428 +194 162 3 879549899 +307 393 3 877123041 +95 976 2 879195703 +268 252 3 875743182 +216 298 5 881721819 +5 453 1 879198898 +223 845 4 891549713 +293 124 4 888904696 +224 1119 3 888082634 +299 176 4 880699166 +130 71 5 875801695 +130 50 5 874953665 +54 313 4 890608360 +62 473 4 879373046 +312 495 4 891699372 +125 22 5 892836395 +318 357 4 884496069 +204 748 1 892392030 +182 293 3 885613152 +49 569 3 888067482 +69 56 5 882145428 +64 959 4 889739903 +325 179 5 891478529 +286 272 5 884069298 +116 880 3 876680723 +215 89 4 891435060 +46 333 5 883611374 +246 294 2 884924460 +213 25 4 878870750 +90 213 5 891383718 +110 188 4 886988574 +212 511 4 879304051 +57 1059 3 883697432 +57 825 1 883697761 +297 282 3 874954845 +276 176 5 874792401 +106 45 3 881453290 +151 66 4 879524974 +276 66 3 874791993 +269 76 3 891448456 +154 286 4 879138235 +210 219 3 887808581 +306 319 4 876503793 +324 471 5 880575412 +265 472 3 875320542 +85 389 3 882995832 +54 325 3 880930146 +18 498 4 880129940 +271 345 3 885844666 +123 22 4 879809943 +87 1189 5 879877951 +217 810 3 889070050 +198 148 3 884206401 +116 257 3 876452523 +131 274 3 883681351 +297 692 3 875239018 +266 874 2 892257101 +109 796 3 880582856 +189 480 5 893265291 +22 294 1 878886262 +234 471 3 892335074 +328 679 2 885049460 +56 79 4 892676303 +178 978 2 882824983 +216 226 3 880244803 +38 444 1 892433912 +219 179 5 889492687 +43 944 2 883956260 +279 1484 3 875307587 +236 507 3 890115897 +296 1009 3 884196921 +271 490 4 885848886 +206 903 2 888180018 +21 295 3 874951349 +318 47 2 884496855 +59 230 4 888205714 +151 175 5 879524244 +263 86 4 891299574 +308 193 3 887737837 +152 125 5 880149165 +123 165 5 879872672 +169 174 4 891359418 +294 10 3 877819490 +197 651 5 891409839 +263 892 3 891297766 +63 109 4 875747731 +206 362 1 888180018 +52 498 5 882922948 +316 213 5 880853516 +72 89 3 880037164 +189 705 4 893265569 +80 87 4 887401307 +198 746 4 884207946 +85 56 4 879453587 +194 56 5 879521936 +110 82 4 886988480 +99 741 3 885678886 +7 195 5 891352626 +323 546 2 878739519 +21 982 1 874951482 +334 93 4 891545020 +12 82 4 879959610 +43 235 3 875975520 +228 288 4 889387173 +109 90 3 880583192 +13 64 5 882140037 +178 288 5 882823353 +181 887 1 878962005 +123 606 3 879872540 +82 64 5 878770169 +138 285 4 879023245 +87 1182 3 879877043 +201 304 2 884110967 +70 202 4 884066713 +178 655 4 882827247 +327 558 4 887746196 +315 654 5 879821193 +251 55 3 886271856 +42 70 3 881109148 +311 482 4 884365104 +129 272 4 883243972 +307 193 3 879205470 +10 4 4 877889130 +338 211 4 879438092 +95 514 2 888954076 +342 1047 2 874984854 +342 792 3 875318882 +201 213 4 884111873 +32 276 4 883717913 +257 289 4 879029543 +14 175 5 879119497 +299 174 4 877880961 +6 134 5 883602283 +320 433 4 884751730 +305 257 2 886322122 +28 153 3 881961214 +308 609 4 887739757 +287 218 5 875335424 +62 421 5 879375716 +269 172 3 891449031 +119 628 4 874775185 +279 1142 1 890780603 +224 1442 3 888104281 +308 528 3 887737036 +151 435 4 879524131 +328 216 3 885045899 +295 493 5 879516961 +62 96 4 879374835 +59 1109 3 888205088 +255 258 4 883215406 +102 195 4 888801360 +128 660 2 879968415 +8 79 4 879362286 +197 1419 2 891410124 +217 578 5 889070087 +313 204 4 891014401 +162 298 4 877635690 +30 289 2 876847817 +260 319 2 890618198 +57 294 4 883696547 +334 86 4 891548295 +308 54 2 887740254 +210 255 4 887730842 +213 447 4 878955598 +189 1021 5 893266251 +220 306 4 881197664 +104 1241 1 888465379 +339 582 4 891032793 +28 184 4 881961671 +51 148 3 883498623 +244 157 4 880604119 +234 491 4 892079538 +275 588 3 875154535 +186 53 1 879023882 +99 1052 1 885679533 +269 131 5 891449728 +311 720 3 884366307 +270 1119 5 876955729 +286 1035 3 877532094 +311 94 3 884366187 +211 257 5 879461498 +239 671 5 889179290 +201 98 4 884111312 +43 403 4 883956305 +315 216 4 879821120 +53 924 3 879443303 +308 452 2 887741329 +338 613 3 879438597 +90 357 5 891385132 +303 327 1 879466166 +247 271 2 893081411 +144 303 4 888103407 +102 1030 1 892994075 +90 739 5 891384789 +72 527 4 880036746 +286 248 5 875806800 +201 32 3 884140049 +327 497 4 887818658 +141 125 5 884585642 +167 675 1 892738277 +262 217 3 879792818 +151 813 4 879524222 +13 859 1 882397040 +276 207 4 874795988 +246 1073 4 884921380 +298 98 4 884127720 +23 88 3 874787410 +94 700 2 891723427 +130 772 4 876251804 +5 403 3 875636152 +297 176 4 881708055 +178 250 4 888514821 +128 417 4 879968447 +270 281 5 876956137 +63 251 4 875747514 +42 357 5 881107687 +100 288 2 891374603 +334 100 5 891544707 +162 222 4 877635758 +184 1020 4 889908630 +13 625 2 882398691 +72 79 4 880037119 +213 8 3 878955564 +82 13 2 878768615 +314 735 5 877888855 +59 488 3 888205956 +14 313 2 890880970 +236 200 3 890115856 +325 240 1 891479592 +286 164 3 877533586 +268 768 3 875744895 +83 77 4 880308426 +313 230 3 891015049 +21 218 4 874951696 +325 656 4 891478219 +283 83 4 879298239 +223 323 2 891549017 +130 418 5 875801631 +28 282 4 881957425 +43 7 4 875975520 +293 559 2 888906168 +286 432 3 878141681 +176 272 5 886047068 +237 499 2 879376487 +332 451 5 888360179 +303 273 3 879468274 +286 13 2 876521933 +327 169 2 887744205 +262 50 2 879962366 +312 631 5 891699599 +102 734 2 892993786 +16 655 5 877724066 +23 90 2 874787370 +249 182 5 879640949 +18 209 4 880130861 +293 216 4 888905990 +308 607 3 887737084 +164 689 5 889401490 +306 1009 4 876503995 +327 655 4 887745303 +280 756 4 891701649 +106 97 5 881450810 +109 147 4 880564679 +156 58 4 888185906 +133 260 1 890588878 +23 511 5 874786770 +112 689 4 884992668 +116 313 5 886978155 +271 13 4 885847714 +313 136 5 891014474 +240 898 5 885775770 +52 405 4 882922610 +280 202 3 891701090 +262 1278 4 879961819 +275 252 2 876197944 +187 732 3 879465419 +13 428 5 882140588 +268 946 3 875310442 +234 283 3 891227814 +16 151 5 877721905 +336 108 3 877757320 +235 435 5 889655434 +216 274 3 880233061 +246 215 2 884921058 +13 913 1 892014908 +21 439 1 874951820 +94 99 3 891721815 +82 275 2 884714125 +339 55 3 891032765 +59 1116 3 888206562 +217 685 5 889069782 +295 736 5 879966498 +170 328 3 884103860 +151 826 1 879543212 +13 212 5 882399385 +223 1 4 891549324 +246 196 3 884921861 +154 137 3 879138657 +158 144 4 880134445 +11 120 2 891903935 +18 630 3 880132188 +197 181 5 891409893 +235 433 4 889655596 +331 69 5 877196384 +244 278 3 880605294 +217 540 1 889070087 +312 134 5 891698764 +299 168 4 878192039 +234 1172 3 892079076 +224 632 2 888103872 +327 474 3 887743986 +184 780 4 889913254 +62 1107 1 879376159 +65 70 1 879216529 +101 928 2 877136302 +210 465 4 887737131 +144 237 4 888104258 +320 250 4 884751992 +311 692 4 884364652 +159 328 3 893255993 +128 77 3 879968447 +167 48 1 892738277 +291 558 4 874867757 +56 143 3 892910182 +38 392 5 892430120 +293 264 3 888904392 +115 69 1 881171825 +276 250 4 874786784 +280 225 4 891701974 +295 588 4 879517682 +26 321 3 891347949 +302 328 3 879436844 +145 109 4 875270903 +201 380 1 884140825 +57 252 2 883697807 +280 100 3 891700385 +310 258 3 879435606 +26 269 4 891347478 +308 4 5 887737890 +269 174 1 891449124 +262 71 4 879794951 +221 684 4 875247454 +263 521 3 891297988 +256 276 3 882151198 +1 229 4 878542075 +266 508 4 892258004 +59 127 5 888204430 +325 505 4 891478557 +327 133 4 887745662 +282 269 4 879949347 +151 300 4 879523942 +104 283 4 888465582 +291 1017 4 874833911 +276 770 4 877935446 +334 1108 4 891549632 +224 879 3 888082099 +64 1133 4 889739975 +58 42 4 884304936 +106 584 4 881453481 +159 258 4 893255836 +268 248 3 875742530 +318 286 3 884470681 +6 525 5 883601203 +327 431 3 887820384 +77 23 4 884753173 +95 15 4 879195062 +255 452 3 883216672 +144 328 3 888103407 +102 307 4 883748222 +269 1014 3 891446838 +184 172 4 889908497 +306 306 5 876503792 +49 732 3 888069040 +181 1347 1 878962052 +293 514 4 888906378 +330 121 4 876544582 +125 1074 3 892838827 +291 147 4 874805768 +269 214 3 891448547 +13 168 4 881515193 +305 76 1 886323506 +313 435 5 891013803 +307 229 5 879538921 +314 54 4 877888892 +269 529 5 891455815 +283 186 5 879298239 +158 8 5 880134948 +92 87 3 876175077 +85 842 3 882995704 +20 118 4 879668442 +193 393 4 889126808 +167 222 4 892737995 +201 1187 3 884112201 +125 346 1 892835800 +144 880 5 888103509 +234 628 2 892826612 +291 574 1 875087656 +224 977 2 888104281 +152 780 5 884019189 +71 462 5 877319567 +151 755 3 879543366 +135 229 2 879857843 +92 931 1 875644796 +95 33 3 880571704 +130 125 5 875801963 +269 405 1 891450902 +297 277 3 875048641 +62 527 4 879373692 +221 17 4 875245406 +11 743 2 891904065 +230 50 5 880484755 +159 930 4 880557824 +174 107 5 886434361 +97 7 5 884238939 +84 289 5 883449419 +63 948 3 875746948 +125 143 5 879454793 +160 126 3 876769148 +316 483 4 880853810 +32 117 3 883717555 +327 93 4 887744432 +13 856 5 886303171 +216 202 4 880234346 +92 1212 3 876175626 +1 140 1 878543133 +263 183 4 891298655 +5 173 4 875636675 +85 372 4 879828720 +194 519 4 879521474 +109 550 5 880579107 +201 198 4 884111873 +340 172 4 884990620 +49 117 1 888069459 +7 642 3 892132277 +239 286 1 889178512 +198 568 3 884208710 +237 23 4 879376606 +239 135 5 889178762 +5 241 1 875720948 +72 382 4 880036691 +297 480 4 875238923 +249 826 1 879640481 +25 127 3 885853030 +94 227 3 891722759 +195 591 4 892281779 +92 85 3 875812364 +85 709 5 879828941 +308 502 5 887739521 +311 117 4 884366852 +247 251 4 893081395 +235 792 4 889655490 +329 326 3 891656639 +338 79 4 879438715 +244 428 4 880606155 +187 70 4 879465394 +253 483 5 891628122 +194 62 2 879524504 +70 71 3 884066399 +203 332 5 880433474 +49 72 2 888069246 +308 673 4 887737243 +246 426 3 884923471 +280 231 3 891701974 +180 433 5 877127273 +110 1250 3 886988818 +327 811 4 887747363 +339 47 4 891032701 +194 132 3 879520991 +1 225 2 878542738 +36 319 2 882157356 +342 746 4 875320227 +260 1105 5 890618729 +40 754 4 889041790 +175 31 4 877108051 +62 827 2 879373421 +138 100 5 879022956 +252 9 5 891456797 +59 421 5 888206015 +110 540 3 886988793 +1 235 5 875071589 +334 269 3 891544049 +301 95 5 882076334 +63 6 3 875747439 +269 805 2 891450623 +151 357 5 879524585 +268 404 4 875309430 +199 473 4 883783005 +22 780 1 878887377 +28 441 2 881961782 +299 210 4 889502980 +317 326 3 891446438 +254 384 1 886475790 +178 245 3 882823460 +297 194 3 875239453 +90 966 5 891385843 +11 734 3 891905349 +325 514 4 891478006 +249 411 3 879640436 +18 964 3 880132252 +311 118 3 884963203 +334 293 3 891544840 +294 483 4 889854323 +297 86 5 875238883 +293 647 5 888905760 +294 876 3 889241633 +286 142 4 877534793 +308 569 3 887740410 +222 164 4 878181768 +49 721 2 888068934 +303 1090 1 879485686 +73 474 5 888625200 +93 845 4 888705321 +85 1101 4 879454046 +223 216 5 891550925 +42 1043 2 881108633 +234 212 2 892334883 +16 288 3 877717078 +13 319 4 882139327 +135 294 4 879857575 +168 411 1 884288222 +72 204 4 880037853 +144 523 5 888105338 +303 398 1 879485372 +128 215 3 879967452 +320 11 4 884749255 +267 684 4 878973088 +60 490 4 883326958 +189 694 4 893265946 +116 905 2 890131519 +249 240 4 879640343 +110 300 3 886987380 +201 1063 3 884113453 +180 121 5 877127830 +87 1072 3 879876610 +6 209 4 883601713 +63 301 5 875747010 +179 895 5 892151565 +148 98 3 877017714 +13 312 1 883670630 +15 278 1 879455843 +176 305 5 886047068 +102 66 3 892992129 +293 251 4 888904734 +42 204 5 881107821 +328 523 5 885046206 +206 333 4 888179565 +279 67 4 875310419 +158 42 3 880134913 +70 151 3 884148603 +271 661 4 885848373 +37 222 3 880915528 +279 1095 1 886016480 +250 200 5 883263374 +103 144 4 880420510 +50 1084 5 877052501 +128 1141 4 879968827 +336 577 1 877757396 +275 191 4 880314797 +95 173 5 879198547 +87 651 4 879875893 +21 678 2 874951005 +145 1217 2 875272349 +13 860 1 882396984 +312 676 3 891699295 +200 431 5 884129006 +102 67 1 892993706 +325 506 5 891478180 +221 1073 4 875245846 +2 297 4 888550871 +305 733 3 886324661 +275 969 2 880314412 +11 215 3 891904389 +341 876 4 890757886 +231 126 5 888605273 +269 474 4 891448823 +13 540 3 882398410 +102 809 3 888802768 +254 240 1 886476165 +234 486 3 892079373 +256 932 3 882150508 +249 58 5 879572516 +305 947 4 886322838 +262 15 3 879962366 +325 187 3 891478455 +184 836 4 889909142 +11 428 4 891905032 +40 258 3 889041981 +313 740 2 891016540 +276 1314 3 874796412 +101 1051 2 877136891 +236 699 4 890116095 +207 134 4 875991160 +215 82 3 891435995 +125 945 5 892836465 +120 282 4 889490172 +293 461 2 888905519 +160 93 5 876767572 +298 418 4 884183406 +326 444 4 879877413 +246 849 1 884923687 +278 301 2 891294980 +166 288 3 886397510 +328 4 3 885047895 +70 265 4 884067503 +298 465 4 884182806 +343 186 4 876407485 +205 313 3 888284313 +201 461 4 884113924 +276 1478 3 889174849 +91 264 4 891438583 +250 294 1 878089033 +68 405 3 876974518 +246 99 3 884922657 +10 704 3 877892050 +97 435 4 884238752 +99 118 2 885679237 +102 302 3 880680541 +70 152 4 884149877 +41 31 3 890687473 +178 179 2 882828320 +6 19 4 883602965 +89 246 5 879461219 +254 257 3 886471389 +94 402 4 891723261 +42 404 5 881108760 +130 566 4 878537558 +13 614 4 884538634 +286 642 3 877531498 +291 410 5 874834481 +214 121 4 891543632 +246 284 1 884922475 +130 413 3 876251127 +320 1210 4 884751316 +60 810 4 883327201 +141 744 5 884584981 +288 97 4 886629750 +145 750 4 885555884 +189 496 5 893265380 +130 55 5 875216507 +328 431 2 885047822 +177 1039 3 880130807 +201 281 2 884112352 +301 456 3 882074838 +136 56 4 882848783 +74 15 4 888333542 +169 429 3 891359250 +1 120 1 875241637 +100 302 4 891374528 +303 716 2 879467639 +216 498 3 880235329 +6 476 1 883600175 +329 98 4 891656300 +230 511 2 880485656 +113 321 3 875075887 +64 100 4 879365558 +13 876 2 881515521 +269 771 1 891451754 +6 154 3 883602730 +327 962 3 887820545 +179 345 1 892151565 +60 152 4 883328033 +222 250 2 877563801 +83 252 4 883868598 +330 51 5 876546753 +125 290 4 892838375 +181 286 1 878961173 +327 451 4 887819411 +161 14 4 891171413 +18 82 3 880131236 +24 372 4 875323553 +200 286 4 884125953 +73 202 2 888626577 +22 29 1 878888228 +96 8 5 884403020 +343 1107 3 876406977 +297 12 5 875239619 +279 1411 3 884556545 +110 202 2 886988909 +94 257 4 891724178 +72 176 2 880037203 +102 89 4 888801315 +119 684 4 886177338 +60 151 5 883326995 +295 404 4 879518378 +308 447 4 887739056 +312 1203 5 891699599 +343 55 3 876405129 +284 259 2 885329593 +276 563 3 874977334 +280 736 2 891700341 +311 310 4 884363865 +18 739 3 880131776 +87 209 5 879876488 +13 90 3 882141872 +58 1097 5 884504973 +224 243 2 888082277 +279 780 4 875314165 +56 568 4 892910797 +330 215 5 876547925 +7 92 5 891352010 +179 315 5 892151202 +64 239 3 889740033 +297 699 4 875239658 +21 424 1 874951293 +188 792 2 875075062 +91 195 5 891439057 +293 194 4 888906045 +94 727 5 891722458 +274 148 2 878946133 +57 282 5 883697223 +276 780 3 874792143 +216 651 5 880233912 +151 241 3 879542645 +62 8 5 879373820 +197 68 2 891410082 +59 385 4 888205659 +119 275 5 874774575 +118 324 4 875384444 +304 298 5 884968415 +26 9 4 891386369 +312 847 3 891698174 +308 965 4 887738387 +270 707 5 876954927 +297 31 3 881708087 +221 100 5 875244125 +116 760 3 886309812 +119 193 4 874781872 +177 300 2 880130434 +161 654 3 891171357 +303 235 4 879484563 +117 174 4 881011393 +327 216 3 887818991 +327 1098 4 887820828 +23 516 4 874787330 +181 1051 2 878962586 +48 661 5 879434954 +76 531 4 875028007 +189 129 3 893264378 +1 125 3 878542960 +312 144 1 891698987 +301 410 4 882074460 +306 476 3 876504679 +38 616 3 892433375 +223 298 5 891549570 +145 1292 1 875271357 +328 528 5 886037457 +174 458 4 886433862 +303 31 3 879467361 +23 83 4 874785926 +6 175 4 883601426 +173 938 3 877557076 +313 239 3 891028873 +38 780 4 892434217 +184 89 4 889908572 +44 155 3 878348947 +244 13 4 880604379 +13 263 5 881515647 +344 479 4 884901093 +40 340 2 889041454 +141 222 4 884584865 +144 286 4 888103370 +324 597 4 880575493 +222 700 3 881060550 +96 484 5 884402860 +90 199 5 891384423 +1 215 3 876893145 +270 379 5 876956232 +251 257 3 886272378 +246 109 5 884921794 +130 90 4 875801920 +326 318 5 879875612 +9 521 4 886959343 +221 32 4 875245223 +20 186 3 879669040 +37 79 4 880915810 +279 871 4 875297410 +163 56 4 891220097 +84 284 3 883450093 +201 676 2 884140927 +46 1062 5 883614766 +72 82 3 880037242 +117 176 5 881012028 +269 608 4 891449526 +148 214 5 877019882 +294 1067 4 877819421 +121 174 3 891388063 +20 172 3 879669181 +59 724 5 888205265 +108 125 3 879879864 +49 53 4 888067405 +294 678 2 877818861 +240 301 5 885775683 +299 602 3 878191995 +246 802 1 884923471 +13 788 1 882396914 +303 1508 1 879544130 +207 1283 4 884386260 +255 271 4 883215525 +195 477 2 885110922 +312 557 5 891699599 +144 302 3 888103530 +102 399 2 888802722 +297 515 5 874954353 +106 165 5 881450536 +291 421 4 875087352 +145 552 5 888398747 +89 936 5 879461219 +85 71 4 879456308 +282 271 3 881702919 +339 856 5 891034922 +135 227 3 879857843 +151 91 2 879542796 +221 467 4 875245928 +286 196 4 877533543 +116 195 4 876453626 +94 738 2 891723558 +144 172 4 888105312 +214 208 5 892668153 +234 519 5 892078342 +244 596 4 880604735 +222 739 4 878184924 +74 126 3 888333428 +45 127 5 881007272 +344 306 5 884814359 +116 887 3 881246591 +181 1362 1 878962200 +144 461 4 888106044 +189 1099 5 893266074 +53 228 3 879442561 +2 290 3 888551441 +299 739 3 889502865 +313 139 3 891030334 +274 275 5 878944679 +321 521 2 879441201 +134 539 4 891732335 +269 486 3 891449922 +94 655 4 891720862 +262 1220 4 879794296 +181 1265 1 878961668 +109 4 2 880572756 +12 96 4 879959583 +109 42 1 880572756 +90 307 5 891383319 +77 498 5 884734016 +314 620 3 877887212 +48 210 3 879434886 +305 1101 4 886323563 +198 357 5 884207267 +222 293 3 877563353 +207 186 4 877879173 +158 580 4 880135093 +255 551 1 883216672 +87 1047 3 879877280 +301 9 3 882074291 +279 1498 4 891208884 +299 343 3 881605700 +339 288 3 891036899 +13 782 3 885744650 +210 722 4 891036021 +200 528 4 884128426 +193 693 4 889124374 +297 678 3 874954093 +128 216 5 879967102 +311 38 3 884365954 +169 879 5 891268653 +174 82 1 886515472 +13 440 1 882397040 +95 378 4 888954699 +321 224 3 879439733 +180 83 5 877128388 +150 127 5 878746889 +332 233 4 888360370 +102 83 3 888803487 +263 678 2 891297766 +128 97 3 879968125 +239 288 2 889178513 +275 202 3 875155167 +311 471 4 884963254 +267 145 4 878972903 +253 210 4 891628598 +250 64 5 878090153 +284 339 3 885329671 +327 849 2 887822530 +11 90 2 891905298 +222 93 2 883815577 +299 26 4 878192601 +276 748 3 883822507 +274 496 5 878946473 +252 129 4 891456876 +244 1225 2 880606818 +75 820 3 884050979 +194 52 4 879525876 +328 627 3 885048365 +201 955 3 884114895 +253 198 5 891628392 +221 39 4 875245798 +334 317 3 891546000 +271 414 4 885849470 +158 525 5 880133288 +64 705 5 879365558 +294 24 4 877819761 +28 480 5 881957002 +269 959 5 891457067 +299 270 4 878052375 +151 655 4 879542645 +177 87 4 880130931 +269 15 2 891446348 +279 740 3 875736276 +332 673 5 888360307 +269 483 4 891448800 +91 682 2 891438184 +246 17 2 884922658 +290 418 3 880474293 +9 487 5 886960056 +217 797 4 889070011 +234 14 3 891227730 +292 1050 4 881105778 +65 1129 4 879217258 +222 231 2 878182005 +299 32 3 877881169 +279 685 3 884982881 +15 620 4 879456204 +68 178 5 876974755 +293 210 3 888905665 +43 931 1 884029742 +344 278 3 884900454 +56 368 3 892911589 +339 30 3 891032765 +144 518 3 888106182 +125 734 3 892838977 +12 735 5 879960826 +269 484 3 891448895 +90 179 5 891385389 +185 237 4 883526268 +243 275 3 879987084 +269 1091 2 891451705 +11 429 5 891904335 +13 88 4 882141485 +120 25 5 889490370 +198 402 3 884209147 +165 304 3 879525672 +138 98 5 879024043 +94 561 3 891722882 +293 188 3 888906288 +39 258 4 891400280 +159 237 3 880485766 +344 39 3 884901290 +69 1017 5 882126156 +230 673 3 880485573 +160 124 4 876767360 +44 228 5 883613334 +298 1142 4 884183572 +345 1160 3 884994606 +94 133 4 885882685 +121 122 2 891390501 +325 109 2 891478528 +160 1019 5 876857977 +205 333 4 888284618 +343 44 3 876406640 +321 1028 2 879441064 +102 986 1 888802319 +268 123 3 875742794 +19 153 4 885412840 +125 511 5 879454699 +332 1188 5 888098374 +90 132 5 891384673 +16 657 5 877723882 +316 50 1 880853654 +272 11 4 879455143 +85 380 4 882995704 +279 1118 3 875310631 +269 761 2 891451374 +75 696 4 884050979 +249 469 4 879641285 +311 671 3 884365954 +58 222 4 884304656 +254 99 3 886473254 +308 632 3 887738057 +125 1272 1 879454892 +49 40 1 888069222 +83 1101 2 880308256 +16 294 4 877717116 +94 214 5 891725332 +295 624 5 879518654 +152 866 5 880149224 +128 227 2 879968946 +119 235 5 874774956 +122 1268 2 879270711 +276 561 2 874792745 +251 109 4 886272547 +7 90 3 891352984 +184 275 5 889913687 +262 628 2 879962366 +279 13 3 875249210 +181 764 1 878962866 +21 56 5 874951658 +298 660 3 884182838 +98 321 3 880498519 +145 949 4 875272652 +164 458 4 889402050 +232 64 4 888549441 +184 126 3 889907971 +269 209 4 891448895 +26 100 5 891386368 +57 1093 3 883697352 +117 338 3 886019636 +297 97 5 875239871 +276 969 4 874792839 +119 1263 3 886177338 +345 722 3 884993783 +318 72 4 884498540 +246 410 1 884923175 +158 809 3 880134675 +178 651 4 882826915 +254 625 3 886473808 +21 106 2 874951447 +225 136 5 879540707 +41 486 4 890687305 +234 191 4 892334765 +78 289 4 879633567 +90 9 4 891385787 +313 415 2 891030367 +180 716 1 877128119 +344 462 2 884901156 +268 810 2 875744388 +195 227 3 888737346 +72 603 4 880037417 +31 135 4 881548030 +303 1267 3 879484327 +64 731 3 889739648 +62 89 5 879374640 +151 662 4 879525054 +189 1372 4 893264429 +213 79 5 878956263 +219 13 1 889452455 +345 708 3 884992786 +244 712 3 880607925 +220 288 5 881197887 +1 6 5 887431973 +239 923 5 889179033 +290 202 4 880474590 +194 523 5 879521596 +200 831 4 891825565 +346 213 3 874948173 +267 214 4 878972342 +100 340 3 891374707 +42 521 2 881107989 +214 45 4 891543952 +264 320 4 886122261 +145 1102 1 888398162 +10 22 5 877888812 +299 71 3 878192238 +313 608 4 891017585 +209 242 4 883589606 +221 92 4 875245989 +293 646 3 888906244 +184 1012 3 889907448 +70 260 2 884065247 +90 30 5 891385843 +144 1169 4 888106044 +1 104 1 875241619 +21 288 3 874950932 +6 523 5 883601528 +248 181 4 884535374 +168 409 4 884287846 +234 878 2 892336477 +44 238 4 878347598 +296 1073 5 884197330 +296 96 5 884197287 +206 288 5 888179565 +76 100 5 875028391 +327 50 3 887745574 +308 811 4 887739212 +338 168 3 879438225 +125 238 3 892838322 +299 1074 3 889502786 +85 203 5 879455402 +77 431 5 884733695 +18 367 4 880130802 +293 572 2 888907931 +286 228 3 889651576 +246 568 4 884922451 +174 902 3 890168363 +268 163 2 875743656 +291 555 1 874868629 +151 478 5 879524471 +269 63 1 891450857 +11 97 4 891904300 +83 748 2 886534501 +83 125 5 880306811 +145 717 3 888398702 +56 426 4 892683303 +339 435 4 891032189 +35 242 2 875459166 +18 462 3 880130065 +194 708 3 879528106 +14 514 4 879119579 +345 651 4 884992493 +279 415 3 875314313 +12 471 5 879959670 +126 332 2 887853735 +16 22 5 877721071 +116 758 1 876452980 +220 325 1 881198435 +151 328 3 879523838 +280 11 5 891700570 +10 155 4 877889186 +73 1149 4 888626299 +180 213 5 877128388 +13 831 3 882398385 +181 1291 1 878963167 +92 132 3 875812211 +345 202 3 884992218 +269 482 3 891448823 +59 241 4 888205574 +322 508 4 887314073 +18 25 3 880131591 +343 135 5 876404568 +62 856 4 879374866 +144 528 4 888105846 +24 662 5 875323440 +108 282 3 879880055 +95 518 4 888954076 +276 383 2 877934828 +187 427 5 879465597 +13 315 5 884538466 +332 98 5 888359903 +12 172 4 879959088 +347 22 5 881654005 +201 8 3 884141438 +90 855 5 891383752 +193 1132 3 889127660 +99 203 4 885680723 +122 708 5 879270605 +15 742 2 879456049 +222 1239 2 881060762 +57 56 3 883698646 +332 595 4 887938574 +6 498 4 883601053 +339 58 3 891032379 +268 154 4 875743563 +102 202 4 892991269 +213 474 2 878955635 +73 196 4 888626177 +283 70 4 879298206 +122 212 5 879270567 +201 454 2 884111830 +298 652 3 884183099 +7 10 4 891352864 +314 29 5 877889234 +130 1277 4 876250897 +201 275 4 884113634 +304 681 2 884967167 +130 748 4 874953526 +118 176 5 875384793 +182 237 3 885613067 +13 794 4 882399615 +242 934 5 879741196 +69 1134 5 882072998 +77 153 5 884732685 +151 196 4 879542670 +279 202 4 875307587 +233 958 5 875508372 +284 682 3 885329322 +181 301 2 878961303 +286 419 5 889651990 +327 14 4 887744167 +256 195 5 882164406 +331 1100 2 877196634 +102 186 4 888803487 +119 338 1 892565167 +234 316 4 891033851 +295 378 4 879518233 +14 100 5 876965165 +184 1006 3 889910078 +216 721 4 880245213 +130 148 4 876251127 +130 229 4 875802173 +158 100 5 880132401 +222 972 2 881059758 +122 792 3 879270459 +59 14 5 888203234 +31 705 5 881548110 +254 501 3 886476281 +297 475 5 874954426 +193 328 3 889122993 +292 28 4 881105734 +1 49 3 878542478 +242 1152 5 879741196 +267 559 3 878972614 +82 705 3 878769598 +292 1039 4 881105778 +14 455 4 880929745 +308 511 5 887737130 +236 170 5 890116451 +334 4 3 891548345 +130 1215 2 876251389 +145 203 5 875271948 +156 205 3 888185735 +340 435 4 884990546 +94 385 2 891721975 +94 109 4 891721974 +168 988 2 884287145 +313 151 1 891014982 +96 645 5 884403020 +308 109 3 887738894 +94 393 3 891721684 +21 995 2 874950932 +5 234 2 875720692 +317 350 5 891446819 +102 62 3 888801812 +118 156 5 875384946 +276 786 3 874791694 +116 259 4 876452186 +81 93 3 876533657 +92 595 3 886443534 +250 111 4 878091915 +344 215 3 884900818 +320 148 4 884748708 +79 124 5 891271870 +94 313 4 891724925 +1 206 4 876893205 +128 966 4 879968071 +269 664 5 891457067 +318 795 2 884498766 +16 940 2 877721236 +54 276 5 880931595 +291 1109 4 874834768 +298 172 4 884124993 +234 292 4 891033821 +106 15 3 883876518 +114 1104 5 881260352 +299 137 4 877877535 +301 771 2 882079256 +73 7 4 888625956 +332 44 3 888360342 +308 1019 4 887738570 +187 28 4 879465597 +94 783 2 891723495 +15 137 4 879455939 +286 56 2 877531469 +222 756 4 877564031 +18 699 5 880130802 +68 245 3 876973777 +134 748 5 891732365 +334 1207 2 891550121 +243 223 4 879988262 +322 479 5 887313892 +334 481 5 891546206 +243 13 4 879987362 +268 16 3 875306691 +90 241 5 891384611 +267 484 5 878971542 +233 48 5 877663184 +77 4 3 884752721 +184 92 3 889908657 +148 596 5 877020297 +59 664 4 888205614 +110 734 2 886989566 +285 628 2 890595636 +244 101 5 880603288 +314 366 4 877891354 +303 654 5 879467328 +186 333 3 891718820 +92 785 3 875660304 +151 486 5 879525002 +6 188 3 883602462 +293 125 2 888905086 +194 51 4 879549793 +291 552 3 874834963 +87 790 4 879876885 +299 50 4 877877775 +56 1 4 892683248 +277 9 4 879543336 +174 823 4 886434376 +92 1047 1 875644796 +177 182 5 880130684 +41 751 4 890686872 +1 76 4 878543176 +113 262 2 875075983 +271 657 4 885848559 +323 7 2 878739355 +303 373 2 879544276 +138 238 5 879024382 +325 98 4 891478079 +106 64 4 881449830 +222 155 4 878184113 +345 367 4 884993069 +273 328 3 891293048 +144 1039 4 888105587 +157 127 5 886890541 +211 310 3 879461394 +56 31 4 892679259 +168 1016 5 884287615 +303 129 5 879468547 +76 258 3 875027206 +223 249 2 891549876 +60 28 5 883326155 +321 507 3 879441336 +141 932 3 884585128 +73 286 4 888792192 +226 480 4 883888853 +90 713 4 891385466 +272 172 4 879455043 +19 313 2 885411792 +145 286 3 875269755 +342 764 1 875318762 +224 322 2 888082013 +328 1126 3 885046580 +268 552 2 876514108 +179 354 4 892151331 +308 526 3 887739426 +267 693 4 878972266 +345 402 4 884993464 +6 213 4 883602462 +12 143 5 879959635 +210 160 4 887737210 +290 546 2 880475564 +293 300 2 888904004 +58 248 4 884794774 +303 181 5 879468082 +298 498 5 884182573 +347 501 4 881654410 +236 172 3 890116539 +102 121 3 888801673 +290 404 3 880475341 +92 123 2 875640251 +151 274 5 879542369 +6 432 4 883601713 +256 1289 4 882150552 +43 216 5 875981128 +189 632 5 893265624 +263 514 3 891299387 +22 117 4 878887869 +250 44 4 878090199 +269 188 2 891450675 +278 98 4 891295360 +155 294 3 879371194 +140 334 2 879013684 +18 190 4 880130155 +239 198 5 889181047 +104 342 3 888442437 +251 258 3 886271496 +72 64 5 880036549 +305 338 3 886308252 +72 566 4 880037277 +339 226 2 891034744 +1 72 4 878542678 +194 511 4 879520991 +316 549 5 880854049 +201 150 4 884139983 +206 1127 4 888180081 +48 187 5 879434954 +279 418 3 875733888 +94 153 5 891725333 +217 53 1 889069974 +94 765 3 891723619 +250 485 4 878092104 +79 288 3 891272015 +230 393 3 880485110 +128 64 5 879966954 +311 367 3 884365780 +76 518 3 875498895 +62 153 4 879374686 +6 515 4 883599273 +215 11 2 891436024 +145 569 4 877343156 +213 715 5 878955915 +94 1199 3 891724798 +10 294 3 879163524 +344 181 3 884901047 +53 100 5 879442537 +20 678 4 879667684 +207 294 3 875504669 +123 285 5 879873830 +256 1028 4 882151690 +174 94 2 886515062 +5 154 3 875636691 +308 488 4 887736696 +222 436 4 878184358 +200 7 4 876042451 +65 121 4 879217458 +7 485 5 891351851 +295 843 4 879517994 +63 111 3 875747896 +7 511 5 891351624 +198 11 4 884207392 +295 1503 2 879517082 +267 28 4 878972524 +91 99 2 891439386 +151 321 4 879523900 +13 302 5 881514811 +293 1098 2 888905519 +42 131 2 881108548 +328 1135 1 885045528 +14 519 5 890881335 +234 142 2 892334852 +230 154 4 880485159 +152 98 2 882473974 +164 313 5 889401284 +55 144 5 878176398 +318 1014 2 884494919 +3 332 1 889237224 +290 818 3 880732656 +125 175 2 879455184 +243 93 2 879987173 +21 670 3 874951696 +268 228 4 875309945 +7 654 5 892135347 +82 178 4 878769629 +318 524 3 884496123 +89 381 4 879459999 +301 123 4 882074726 +193 673 4 889126551 +1 185 4 875072631 +323 79 4 878739829 +21 219 5 874951797 +197 328 4 891409290 +184 15 3 889907812 +313 482 5 891016193 +109 823 3 880572296 +152 167 5 882477430 +297 629 3 875410013 +167 1147 4 892738384 +264 524 3 886123596 +280 571 3 891702338 +222 577 1 878185137 +21 591 3 874951382 +210 501 4 887736998 +280 230 3 891702153 +86 286 3 879569555 +320 174 4 884749255 +144 50 5 888103929 +256 97 4 882165103 +65 427 5 879216734 +198 429 4 884207691 +184 217 3 889910394 +151 709 5 879524778 +18 530 4 880129877 +43 724 4 875981390 +86 319 3 879569555 +242 305 5 879741340 +97 28 5 884238778 +114 195 4 881260861 +188 69 4 875072009 +301 230 4 882077033 +85 241 3 882995340 +129 313 3 883243934 +106 77 4 881451716 +261 748 3 890454310 +188 7 5 875073477 +13 208 5 882140624 +342 288 5 875318267 +299 286 4 877618524 +311 204 5 884365617 +125 813 1 879455184 +276 463 4 874792839 +13 421 2 882140389 +141 472 5 884585274 +222 550 3 878184623 +191 896 3 891562090 +144 516 2 888105197 +216 1047 3 881428365 +151 213 5 879524849 +144 845 4 888104191 +4 356 3 892003459 +96 64 5 884403336 +160 79 4 876859413 +49 369 1 888069329 +110 332 3 886987287 +209 351 2 883589546 +178 1004 4 882827375 +344 97 3 884901156 +11 203 4 891905856 +241 307 4 887249795 +239 312 2 889181247 +276 719 3 877935336 +18 191 4 880130193 +141 535 5 884585195 +18 971 4 880131878 +162 42 3 877636675 +342 591 3 875318629 +278 525 5 891295330 +102 217 2 888803149 +16 447 5 877724066 +343 82 5 876405735 +109 357 2 880572528 +301 732 4 882077351 +303 202 5 879468149 +250 378 4 878092059 +234 507 4 892334803 +217 68 3 889069974 +87 523 5 879875649 +95 26 3 880571951 +245 94 2 888513081 +95 289 2 879191590 +334 1008 4 891545126 +201 896 3 884110766 +126 323 3 887853568 +150 475 5 878746764 +59 871 2 888203865 +227 9 3 879035431 +169 603 5 891359171 +293 553 3 888907453 +201 190 4 884111873 +58 8 4 884304955 +303 840 2 879543988 +328 1106 2 893195825 +58 850 5 884305150 +299 101 2 889501721 +339 573 3 891036016 +235 198 3 889655044 +58 347 3 888638515 +291 455 5 874805958 +178 275 5 882823857 +99 1119 4 885680348 +296 292 5 884196057 +343 569 3 876406421 +18 513 4 880129769 +312 238 3 891699510 +62 294 1 879373215 +97 428 4 884239553 +215 64 4 891435804 +343 47 4 876405130 +334 223 5 891545973 +349 411 4 879466232 +311 433 3 884364931 +236 134 4 890116282 +27 596 2 891542987 +64 211 4 889739318 +144 713 4 888104322 +110 22 4 886987826 +109 665 5 880582384 +1 96 5 875072716 +267 597 3 878970805 +89 127 5 879441335 +59 258 3 888202749 +239 1245 5 889181092 +222 96 5 878181739 +8 294 3 879361521 +95 137 3 879192404 +280 566 4 891701188 +311 469 5 884366227 +11 521 2 891904174 +222 1226 4 883815840 +184 645 3 889910123 +17 1 4 885272579 +223 69 5 891550889 +64 429 4 889737800 +262 252 3 879790603 +87 154 4 879876564 +286 96 4 877532385 +207 53 1 881681725 +334 8 4 891547171 +79 937 2 891271180 +276 147 4 874786686 +314 328 4 877885887 +127 286 1 884364525 +94 203 5 885870577 +348 628 4 886523256 +348 370 4 886523621 +206 896 4 888180018 +85 508 2 879453040 +312 639 5 891698391 +59 1009 4 888203095 +344 1283 2 889814587 +188 211 4 875075062 +343 371 2 876405893 +184 972 3 889909962 +308 746 4 887739056 +62 298 4 879372304 +244 1017 4 880604583 +135 54 3 879858003 +14 151 5 876964725 +327 469 4 887822623 +148 71 5 877019251 +6 156 3 883602212 +52 257 3 882922806 +130 58 2 876251619 +222 413 3 881061213 +76 12 3 882606060 +44 317 4 878347633 +293 172 5 888905618 +95 32 1 888954726 +130 47 3 875801470 +12 97 5 879960826 +38 99 5 892430829 +13 409 3 882141872 +198 188 5 884208200 +328 144 4 885045740 +12 204 5 879960826 +241 750 5 887249576 +216 628 4 880235546 +201 357 4 884111217 +194 582 1 879535549 +72 45 5 880037853 +308 736 3 887738760 +128 427 5 879966685 +346 582 3 874951783 +178 546 3 888514680 +128 422 4 879968598 +44 82 4 878348885 +280 419 3 891701047 +13 910 2 890704721 +312 1021 3 891698365 +85 639 3 879454189 +222 313 4 883814858 +107 321 2 891264432 +5 436 5 875720717 +102 418 3 883748450 +309 326 5 877370383 +198 97 3 884207112 +339 97 4 891034626 +280 316 5 891700184 +303 325 1 879466249 +189 60 3 893265773 +279 1209 4 875314350 +293 68 3 888906990 +222 234 2 878181387 +184 855 4 889909474 +292 657 5 881103711 +323 1017 3 878739394 +303 450 3 879544386 +276 1210 2 877934988 +300 322 4 875650018 +59 972 4 888206125 +286 704 2 877531941 +249 13 4 879640396 +234 521 3 892079077 +83 294 3 887665569 +8 457 1 879361825 +279 1500 5 875306613 +200 218 5 884129410 +150 268 5 878746257 +257 305 4 882049607 +8 385 1 879362124 +28 100 5 881957425 +119 86 4 874782068 +155 328 2 879370860 +246 368 1 884924813 +273 345 3 891293108 +174 117 5 886434136 +230 125 5 880485090 +232 921 4 888549929 +198 323 2 884204637 +14 13 4 880929778 +276 448 4 874792692 +95 742 4 879193512 +103 126 5 880420002 +94 101 2 891720996 +234 1463 5 892333573 +267 187 5 878972071 +244 324 4 880601905 +279 577 1 889151559 +238 476 3 883576799 +158 228 5 880134296 +286 815 3 876521966 +195 298 4 888737703 +190 282 3 891033773 +92 42 4 875653664 +269 211 4 891449075 +188 628 5 875074200 +343 712 4 876406391 +343 375 2 876406978 +321 483 5 879439658 +45 121 4 881013563 +279 397 4 890780547 +23 483 4 884550048 +322 192 5 887313984 +13 318 3 882139686 +175 56 2 877107790 +91 331 5 891438245 +159 1002 3 884027027 +185 196 4 883524172 +244 179 5 880603833 +348 405 4 886523174 +296 950 4 884196741 +43 371 4 883955269 +16 230 5 877720813 +262 275 4 879961980 +102 686 3 888801673 +214 408 4 891543952 +277 151 3 879543768 +3 328 5 889237455 +119 526 2 886177762 +49 168 5 888068686 +63 288 3 875746948 +320 118 1 884748868 +92 825 4 875640487 +72 68 3 880037242 +271 133 4 885848971 +194 317 4 879521657 +13 898 1 884538403 +279 1495 4 889984565 +308 656 3 887736622 +253 568 4 891628295 +267 1401 4 878971816 +244 226 1 880602264 +295 401 3 879519390 +268 141 3 875744832 +344 119 5 884814457 +33 328 4 891964187 +344 619 4 885770181 +347 1035 3 881654522 +235 22 4 889655044 +313 114 4 891013554 +90 613 4 891383835 +72 12 5 880036664 +320 173 5 884750946 +271 435 4 885848802 +94 644 5 886008390 +194 648 4 879521936 +130 276 4 878537447 +340 1 5 884990988 +49 56 5 888067307 +307 143 3 879283203 +263 486 4 891299148 +1 213 2 876892896 +308 826 3 887739427 +151 464 4 879524089 +345 88 4 884992940 +265 328 4 875320084 +240 300 3 885775563 +82 191 4 878769748 +25 498 4 885852086 +151 100 3 879524514 +222 40 1 881060550 +197 385 2 891409893 +293 655 3 888905618 +280 404 3 891701114 +210 404 5 887736739 +234 213 3 892079190 +318 248 3 884494976 +104 544 3 888465413 +336 619 3 877759833 +308 475 4 887737193 +23 228 4 874785582 +234 850 2 892336047 +94 232 3 891721584 +1 233 2 878542552 +144 304 4 888103466 +295 1040 2 879519180 +130 228 4 875216420 +275 630 3 880315243 +63 250 5 875747789 +20 194 3 879669152 +354 462 3 891218116 +308 322 2 887736408 +145 185 4 875271838 +110 1206 3 886988321 +303 410 4 879484846 +317 300 4 891446313 +180 631 5 877544373 +343 76 4 876407565 +345 48 5 884902317 +301 89 2 882076046 +181 1312 1 878962349 +102 233 3 888801622 +64 222 4 889739733 +303 233 4 879484981 +41 313 3 890685449 +229 260 1 891632437 +144 855 4 888105510 +59 569 4 888206161 +191 313 5 891560481 +305 212 3 886324058 +14 408 5 879119348 +279 216 3 884983225 +316 735 4 880854337 +193 288 1 889123777 +216 231 2 880245109 +201 537 3 884141053 +348 240 3 886523839 +22 683 1 878886307 +104 823 1 888465554 +341 294 3 890757997 +169 172 5 891359317 +213 509 4 878955372 +101 840 3 877136659 +90 313 5 891382163 +159 831 2 880557604 +65 191 4 879216797 +114 204 3 881260441 +215 205 3 891435161 +184 259 3 889907096 +121 125 2 891388600 +279 992 4 889151559 +94 1074 2 891723427 +59 229 3 888205921 +73 479 5 888625127 +59 7 4 888202941 +254 472 3 886474456 +29 358 2 882821044 +145 553 3 875272786 +230 199 3 880484755 +234 731 2 892336194 +52 116 4 882922328 +218 33 4 881288386 +203 117 4 880434810 +99 346 4 885678415 +146 307 3 891457905 +59 100 5 888202899 +298 144 4 884182838 +343 655 5 876405697 +297 98 5 875238579 +119 866 3 874774575 +24 129 3 875246185 +181 824 1 878963305 +334 250 3 891544840 +32 250 4 883717684 +181 1384 1 878962052 +92 48 4 875653307 +197 748 3 891409323 +116 840 1 886309958 +251 121 4 886272118 +2 312 3 888550631 +158 68 3 880134532 +275 304 3 876197368 +145 174 5 882181728 +279 1487 1 875314076 +234 8 5 892079585 +193 234 3 889126551 +339 270 2 891036753 +64 8 4 889737968 +354 133 3 891217547 +215 239 3 891436297 +184 531 4 889910653 +233 174 5 877661553 +222 182 4 881058666 +7 168 5 891351509 +90 435 5 891383350 +140 289 4 879013719 +315 223 5 879799486 +293 781 2 888907644 +240 288 5 885775536 +222 829 3 877563934 +311 378 5 884366363 +201 271 4 884110967 +161 56 3 891171257 +181 882 1 878962006 +311 951 3 884365548 +7 269 3 891349991 +43 241 4 883955441 +59 208 5 888205533 +323 246 4 878739177 +224 325 1 888082045 +318 197 5 884496030 +178 1012 4 884837364 +214 531 4 891544222 +49 313 3 888065527 +95 737 3 879197021 +345 174 4 884992367 +333 66 5 891045515 +174 255 5 886434114 +21 569 3 874951820 +328 402 3 885047627 +280 323 2 891700106 +308 233 3 887738346 +314 623 5 877890927 +292 510 4 881104093 +276 684 4 874792436 +237 1192 5 879376553 +7 285 5 891351813 +58 340 4 884305708 +62 1060 1 879373007 +151 224 5 879524293 +96 100 5 884403758 +354 242 5 891180399 +79 269 5 891271792 +91 131 2 891439471 +299 645 4 877881276 +344 283 4 884814432 +62 1136 3 879375977 +152 220 5 884035907 +92 1041 3 875907675 +342 723 3 875319659 +268 949 2 875743909 +234 501 4 892334543 +178 135 2 882826915 +267 470 4 878972931 +159 871 4 880557003 +236 79 4 890118417 +254 183 4 886472713 +238 181 3 883576336 +329 129 3 891655905 +293 282 2 888905170 +135 176 4 879857765 +204 258 2 892388976 +294 547 3 877819972 +151 494 4 879524244 +311 258 4 884363706 +244 1178 3 880608134 +270 596 5 876954456 +83 892 2 891181444 +296 1142 5 884196524 +301 483 4 882076403 +130 222 4 874953769 +102 173 3 888803602 +299 1227 1 878192556 +16 228 5 877720733 +334 461 3 891547744 +343 187 4 876406006 +256 1119 3 882165032 +21 217 3 874951727 +276 22 5 874787496 +315 234 3 879821349 +194 30 3 879524504 +244 54 2 880607335 +87 629 4 879877006 +49 213 3 888066486 +255 249 5 883216245 +325 865 3 891478079 +178 210 5 884837073 +279 167 3 875312441 +11 47 4 891904551 +311 82 5 884364436 +292 405 3 881104820 +58 1106 4 892068866 +57 866 3 883697915 +162 174 4 877636772 +310 832 1 879436035 +345 473 2 884991244 +354 257 3 891216735 +164 322 4 889401432 +117 421 5 881012601 +330 447 4 876546619 +339 475 5 891032856 +5 42 5 875636360 +82 11 4 878769992 +209 898 3 883460304 +214 285 5 892668153 +60 751 2 883325421 +220 301 4 881197948 +214 1039 4 891544269 +133 315 4 890588524 +13 764 2 882141997 +338 204 3 879438063 +178 193 4 882826868 +11 204 3 891904920 +186 591 4 879023073 +193 117 4 889125913 +264 516 5 886123655 +248 100 4 884534716 +178 284 4 888514680 +117 168 5 881012550 +224 569 3 888104313 +223 248 1 891549683 +162 50 5 877635662 +129 339 2 883244737 +7 432 4 891352831 +77 181 3 884732278 +279 662 2 875310631 +287 39 5 875336652 +157 273 5 886889876 +331 190 3 877196308 +177 1 3 880130699 +286 234 3 877532093 +10 656 5 877886846 +89 117 5 879441357 +327 143 4 888251408 +116 806 4 876453800 +207 313 4 885066537 +87 519 4 879877652 +28 174 5 881956334 +181 1128 1 878962279 +297 56 5 875239422 +246 100 4 884921033 +188 173 5 875075118 +119 486 4 874781547 +283 588 4 879297965 +188 210 4 875071891 +291 770 4 874834799 +109 278 3 880571770 +11 402 4 891904662 +248 928 3 884536117 +258 313 5 885700778 +256 576 3 882164603 +187 792 5 879465340 +291 175 2 874867966 +189 652 5 893265428 +313 163 2 891016757 +181 1371 1 878962240 +239 479 5 889178762 +119 546 4 874775914 +144 521 4 888105312 +305 298 4 886322150 +343 823 3 876403851 +326 732 5 879877143 +95 675 2 888954310 +279 408 5 875249210 +276 456 2 874787237 +345 151 5 884991191 +184 604 4 889908693 +277 129 4 879543653 +197 720 2 891410039 +253 294 4 891627829 +303 9 5 879466830 +296 654 5 884197419 +32 246 4 883717521 +279 530 3 890780576 +49 590 1 888067579 +95 474 4 880570909 +318 1032 3 884498210 +318 194 5 884495590 +286 683 5 884583549 +191 307 3 891560935 +48 50 4 879434723 +298 195 4 884183277 +171 245 3 891034801 +339 82 4 891035850 +81 926 3 876533824 +207 42 4 877878688 +269 153 3 891449346 +303 1071 2 879485352 +7 54 3 892132380 +339 198 5 891033382 +11 435 4 891904968 +23 421 5 874786770 +188 511 2 875072211 +137 327 4 881432671 +76 690 2 882607017 +38 720 5 892432424 +221 1035 3 875246124 +59 928 4 888203449 +13 814 5 886302261 +318 315 5 884470294 +342 607 3 875318963 +200 121 5 876042268 +269 654 4 891448980 +7 89 5 891351082 +136 847 4 882693371 +254 243 2 887347834 +183 483 5 892323452 +84 265 5 883453617 +151 193 4 879524491 +70 751 4 884063601 +314 938 3 877886099 +291 1239 2 874835279 +234 192 3 892078984 +38 67 4 892434312 +156 12 3 888185853 +56 228 3 892676340 +354 463 4 891217575 +311 178 5 884364437 +122 214 2 879270676 +314 591 5 877887002 +1 258 5 878873389 +230 209 1 880485283 +42 142 4 881109271 +328 750 4 885044519 +130 357 5 875216933 +267 464 5 878974783 +267 324 3 878970114 +190 300 4 891033606 +276 853 5 889174849 +193 465 3 889126867 +59 126 5 888202899 +347 416 3 881654715 +109 69 4 880572561 +296 948 1 884196149 +28 143 4 881956564 +351 340 1 879481424 +59 760 2 888203659 +318 503 4 884497402 +181 335 1 878961748 +48 654 5 879434792 +94 693 4 891720921 +215 450 2 891436470 +82 518 4 878769747 +155 325 2 879371261 +303 318 5 879466523 +23 28 3 874786793 +1 81 5 875072865 +303 416 3 879468179 +320 472 3 884748750 +57 410 3 883697378 +305 192 2 886323275 +293 144 4 888905819 +13 387 3 886304229 +327 215 4 887820695 +327 886 2 887737493 +299 367 4 878192497 +9 286 5 886960055 +111 326 3 891680131 +246 451 2 884923003 +260 1025 5 890618729 +293 239 3 888907166 +305 151 4 886324433 +116 1253 2 876454109 +124 166 5 890287645 +161 213 2 891171887 +198 15 3 884205185 +313 132 5 891013589 +268 717 1 876513785 +113 100 4 875935610 +42 281 3 881105728 +234 709 4 892079337 +128 609 4 879967550 +293 1101 3 888906677 +156 64 3 888185677 +194 808 2 879527999 +25 455 4 885853415 +282 258 5 879949367 +327 82 2 887820448 +64 56 5 889737542 +201 276 5 884111598 +314 126 2 877886971 +325 177 5 891478627 +136 747 4 882848866 +181 1318 1 878962349 +280 265 4 891700588 +271 283 4 885847876 +262 405 2 879962367 +6 205 3 883600878 +308 283 3 887737194 +6 133 4 883601459 +130 158 5 875801897 +85 289 3 879452334 +239 530 5 889179290 +122 553 3 879270741 +7 530 5 891350900 +334 59 5 891546000 +18 14 5 880130431 +95 132 3 880570993 +313 670 3 891029877 +279 412 3 875297708 +184 462 4 889908873 +102 685 3 888801876 +271 732 4 885848672 +10 64 4 877886598 +164 125 5 889402071 +276 230 4 882659602 +216 367 3 881428365 +49 628 4 888068167 +141 50 4 884584735 +114 191 3 881309511 +82 127 2 878769777 +207 1378 3 877878714 +55 56 4 878176397 +89 221 1 879441687 +334 474 3 891546257 +160 21 1 876769480 +311 326 2 884364047 +286 191 4 877531407 +23 177 4 884550003 +32 100 3 883717662 +332 156 4 888359944 +236 478 3 890118106 +251 50 5 886272086 +7 489 3 891353477 +59 134 5 888204841 +43 117 4 883954853 +99 258 5 885678696 +295 153 5 879517324 +1 78 1 878543176 +6 70 3 883601427 +13 894 1 883670742 +279 753 2 875307443 +11 735 3 891904300 +92 778 4 875811457 +257 151 4 882050266 +23 705 4 874785526 +320 411 3 884749119 +288 202 5 889225535 +234 921 4 892079434 +358 469 4 891271063 +13 341 2 886952422 +343 275 5 876408139 +326 646 2 879875112 +256 172 3 882164443 +90 272 5 891382121 +294 118 3 877819941 +321 30 4 879439658 +339 133 4 891033165 +205 289 4 888284710 +236 307 4 890117902 +244 747 4 880606760 +303 194 5 879466742 +6 481 5 883600914 +236 204 3 890118393 +90 269 5 891382310 +181 319 3 878961173 +193 268 3 889122906 +159 451 5 884360502 +312 675 5 891698485 +234 79 3 892079910 +214 7 5 892668130 +303 480 4 879466523 +7 657 4 891351234 +305 806 3 886322720 +18 89 3 880130065 +181 676 3 878962392 +180 421 5 877128388 +119 272 5 886611471 +160 432 3 876861185 +227 244 3 879035205 +189 1098 4 893265506 +291 1253 3 874834944 +54 327 5 880928893 +95 417 3 888956158 +318 239 4 884497235 +303 506 4 879467328 +340 405 5 884991817 +62 306 4 879371909 +279 702 4 875309760 +181 742 4 878962623 +197 187 5 891409798 +10 702 3 877886722 +296 279 4 884196640 +269 179 4 891447141 +5 422 4 875636767 +58 663 2 884304728 +343 20 5 876408138 +270 441 5 876956420 +312 1124 4 891698553 +310 748 3 879435729 +236 735 5 890116599 +13 452 3 882397039 +291 470 3 874834768 +92 281 3 875812331 +295 412 2 879519237 +346 245 4 875266665 +46 127 5 883616133 +62 100 4 879372276 +343 12 5 876405735 +103 300 3 880416727 +174 369 1 886515272 +85 566 3 879454273 +217 554 3 889070050 +31 504 5 881548110 +82 476 3 878768765 +91 265 5 891439018 +48 202 4 879434791 +130 3 5 876250897 +83 22 5 880307724 +59 188 4 888205188 +236 661 3 890116451 +152 255 5 884035936 +352 55 1 884289728 +262 790 3 879795379 +326 503 3 879876542 +145 200 4 877343121 +216 172 4 880234639 +233 57 5 880190451 +314 1520 3 877892052 +131 313 5 883681723 +307 427 3 877121988 +360 334 4 880353736 +292 124 4 881104147 +152 1028 5 880149197 +314 268 5 877885836 +160 175 4 876860808 +277 117 4 879544145 +318 49 3 884497257 +354 694 5 891217299 +294 250 5 877819459 +264 1270 2 886122194 +276 249 4 874786632 +222 1089 1 877563659 +218 504 3 881288574 +56 623 3 892910268 +13 25 1 882141686 +13 632 3 884538664 +292 151 5 881104268 +130 374 4 875217392 +24 508 4 875323833 +318 384 3 884498210 +93 275 4 888705224 +7 142 3 891354090 +144 293 4 888104283 +308 1046 4 887740649 +78 269 3 879633467 +276 228 4 880913800 +142 895 4 888640143 +234 294 3 891033715 +234 1123 3 892335342 +87 1190 4 879876336 +286 790 1 877535208 +318 934 4 884495382 +215 474 4 891435022 +68 1047 1 876974379 +7 423 5 891351509 +110 204 3 886989276 +346 62 3 875263634 +72 181 1 880037203 +303 160 4 879468375 +200 357 5 884128498 +262 845 4 879962052 +235 474 5 889655112 +326 526 5 879874964 +125 949 3 892838623 +7 156 5 891351653 +347 79 5 881653890 +13 416 3 882398934 +127 227 4 884364867 +13 502 5 882141458 +308 490 4 887738104 +222 672 1 878183777 +251 132 5 886271641 +109 742 5 880564457 +97 655 5 884238860 +222 94 3 878184866 +303 234 5 879467260 +295 1459 5 879519237 +325 143 1 891479017 +186 742 3 879023073 +68 1028 4 876974430 +15 696 2 879456262 +256 662 2 882165032 +28 271 4 881955281 +49 129 2 888068079 +127 300 5 884364017 +102 326 3 879082298 +144 900 4 888103371 +314 204 5 877888644 +293 153 4 888905948 +79 286 5 891271792 +315 302 5 879799301 +181 1202 1 878962720 +23 188 3 877817151 +83 323 4 883868420 +59 48 5 888204502 +294 7 4 877819563 +257 307 4 879029581 +49 3 3 888068877 +56 98 4 892679067 +43 225 2 875975579 +280 125 2 891701148 +346 4 4 874948105 +292 429 5 881105587 +151 1065 3 879542413 +178 849 3 882828021 +145 281 4 875272299 +327 90 3 887819194 +130 183 5 875801369 +213 11 4 878956156 +42 451 2 881108982 +268 1059 3 875743310 +279 727 3 890780864 +18 194 3 880129816 +312 57 5 891699599 +69 109 3 882145428 +112 306 5 891299783 +308 170 3 887737130 +325 474 5 891478392 +314 785 3 877890960 +327 949 4 887819316 +94 829 2 891724800 +222 419 2 878182279 +42 25 3 881110670 +296 685 4 884196896 +189 274 4 893264735 +280 381 3 891700925 +144 22 5 888105439 +109 245 3 880562908 +119 658 5 874782127 +172 697 3 875536498 +18 515 5 880130155 +222 364 1 878185137 +87 393 4 879876703 +244 208 5 880606300 +363 391 2 891498811 +332 148 5 887938486 +272 474 5 879454753 +95 523 4 879197562 +102 183 4 888801360 +294 299 3 877818982 +27 925 3 891543245 +164 984 4 889401456 +121 9 5 891390013 +340 204 4 884990004 +115 530 5 881172117 +334 72 3 891549192 +268 31 4 875310311 +60 514 4 883326300 +145 637 3 882182689 +90 6 4 891384357 +344 508 4 884814697 +98 70 3 880499018 +279 1000 4 875314313 +279 390 3 875744641 +157 407 4 886891218 +334 289 3 891544491 +307 527 5 878066938 +327 237 4 887745494 +308 116 4 887737594 +211 687 2 879437184 +189 173 5 893265160 +271 200 5 885849356 +342 1007 4 874984507 +328 188 5 885046498 +144 204 2 888105116 +43 298 4 875975211 +268 826 1 875743065 +149 269 5 883512557 +92 252 4 886443582 +339 214 3 891033226 +18 286 5 880129305 +169 181 5 891359276 +189 281 2 893264766 +254 238 3 886473120 +250 1014 4 883263439 +130 946 4 875801830 +172 657 3 875538027 +10 615 4 877892276 +216 95 3 881428365 +95 24 3 879192542 +360 116 3 880354275 +301 692 3 882076619 +345 121 3 884991384 +164 245 5 889401362 +323 744 5 878739436 +264 558 5 886122447 +197 340 2 891409199 +237 28 4 879376435 +196 306 4 881251021 +179 305 4 892151270 +342 132 5 875319129 +56 82 4 892676314 +346 187 3 874948030 +118 547 5 875385228 +332 1150 3 887938631 +250 742 3 878089786 +193 871 3 890860319 +293 447 4 888907290 +348 928 5 886523683 +339 12 5 891032659 +292 343 2 881103478 +209 349 2 883589546 +23 99 4 874786098 +49 258 2 888065895 +234 490 4 892079803 +201 447 5 884112581 +43 501 4 883955605 +290 550 3 880475807 +276 290 4 874786854 +346 322 3 886273541 +292 252 3 881104881 +363 405 4 891497015 +355 300 4 879486529 +351 879 5 879481461 +211 263 3 879461395 +332 696 3 887938760 +118 185 5 875384979 +308 483 3 887736843 +100 689 3 891375212 +241 880 5 887249889 +253 566 4 891628578 +292 919 5 881103508 +334 207 4 891545950 +223 255 4 891549382 +313 174 4 891014499 +244 1098 5 880605578 +299 501 3 889501790 +328 284 3 885047593 +18 71 4 880131236 +232 471 3 880062414 +311 174 5 884364538 +7 608 4 891351653 +201 708 4 884140247 +345 285 5 884901701 +184 1136 4 889912890 +130 49 4 875802236 +232 22 3 888549988 +46 288 2 883611307 +213 151 5 878955886 +210 216 4 887737603 +75 475 5 884049939 +90 323 3 891382634 +14 7 5 876965061 +1 212 4 875072895 +272 772 2 879455220 +332 1016 5 887916529 +117 597 4 881010052 +184 287 4 889908050 +79 813 5 891271792 +10 200 5 877889261 +119 144 4 887038665 +158 277 4 880132658 +59 570 4 888205745 +322 185 5 887313850 +129 995 2 883245452 +42 692 4 881107773 +298 496 5 884127603 +318 481 4 884496156 +293 134 5 888905618 +60 1126 4 883327174 +285 538 5 890595479 +345 919 2 884991077 +72 70 4 880036691 +342 25 2 875318328 +94 31 4 891721286 +223 717 1 891550470 +339 190 4 891034215 +130 346 4 884623704 +218 265 3 881288408 +362 333 5 885019261 +334 450 1 891550338 +176 751 1 886046979 +145 1212 2 875272196 +189 815 3 893264558 +60 485 4 883327222 +293 257 2 888904696 +306 100 4 876504286 +308 319 4 887736408 +130 53 3 876251972 +320 501 3 884751462 +321 1194 5 879438607 +155 319 3 879370963 +338 310 3 879437522 +214 325 3 891542622 +49 418 3 888067031 +57 1028 3 883697432 +236 185 5 890118307 +138 617 4 879024128 +232 173 4 888549674 +331 100 4 877196308 +297 157 2 875238853 +95 88 4 880571016 +268 333 4 876513565 +58 156 5 884304955 +299 378 3 878192680 +294 327 3 877818982 +286 1091 4 877534859 +234 601 3 892334765 +207 156 2 878104438 +269 492 4 891449550 +357 284 4 878951691 +255 53 3 883216672 +92 717 3 886443416 +13 161 5 882397741 +65 197 5 879216769 +17 237 2 885272628 +167 698 4 892738307 +313 609 3 891014782 +42 99 5 881108346 +65 210 4 879217913 +303 366 3 879485221 +233 98 5 877661724 +354 86 5 891218312 +268 1090 2 875745536 +7 226 5 891353614 +81 7 4 876533545 +323 886 3 878738997 +119 87 5 874781829 +299 418 4 889501790 +174 456 1 886515240 +8 89 4 879362124 +79 900 4 891271245 +232 215 3 888549563 +271 338 1 885847194 +356 313 5 891405651 +177 271 2 882141868 +181 458 3 878962350 +6 151 3 883599558 +363 1495 5 891497278 +117 751 5 886018996 +306 744 4 876504054 +90 494 5 891383241 +117 368 3 881010610 +181 1386 1 878962119 +233 418 4 877664010 +44 542 3 878348036 +13 303 4 881514876 +127 243 5 884364764 +92 561 3 875812413 +236 864 2 890117073 +234 660 4 892334543 +363 1168 2 891496587 +177 150 4 880130807 +117 121 4 880126038 +301 514 3 882076021 +194 1 4 879539127 +276 496 4 882659476 +221 1210 3 875246887 +363 673 2 891496543 +218 516 5 877488692 +85 414 4 879828720 +60 498 5 883326566 +188 233 3 875074266 +144 960 2 888105784 +184 88 3 889909551 +83 412 1 883868208 +194 631 2 879546551 +11 751 2 891902092 +178 1051 3 885784583 +318 1023 2 884495091 +328 132 5 885046420 +142 28 4 888640404 +293 657 4 888905582 +13 437 1 882397068 +246 231 1 884922898 +346 727 1 874947794 +323 199 4 878739953 +194 510 4 879521474 +99 123 3 885678997 +280 483 4 891701066 +314 1276 4 877887179 +305 943 2 886323464 +106 923 4 881453355 +174 383 1 886515171 +62 955 4 879374072 +10 223 5 877888545 +234 526 3 892334045 +92 660 4 875654125 +361 273 3 879441215 +1 143 1 875072631 +332 258 5 887916151 +286 559 4 877534081 +308 805 4 887739471 +326 448 3 879877349 +323 22 5 878739743 +365 301 5 891303586 +23 315 3 884550320 +256 783 4 882165328 +3 334 3 889237122 +195 99 3 888737277 +236 223 5 890116032 +38 389 5 892433660 +95 505 3 888954513 +351 873 3 879481643 +271 83 4 885848408 +297 250 1 874955085 +91 351 4 891438617 +119 472 4 874775406 +42 1051 4 881106270 +270 703 4 876955019 +311 526 5 884364873 +94 562 3 891721494 +352 746 4 884290361 +350 174 5 882346720 +233 286 3 876690514 +250 1 4 883263374 +154 806 4 879139040 +255 569 1 883216672 +229 875 1 891632402 +332 1013 3 887938798 +58 237 4 884304396 +320 976 2 884749567 +307 169 5 879283625 +110 794 3 886988909 +244 818 2 880605010 +330 596 5 876544690 +343 474 5 876406677 +59 25 4 888203270 +64 173 5 889737454 +280 934 2 891702291 +283 627 4 879297966 +314 120 3 877887094 +336 13 3 877756890 +312 587 3 891699399 +222 411 3 878185137 +181 933 1 878962675 +270 741 5 876953967 +59 65 4 888205265 +174 63 4 886514985 +313 44 3 891015049 +264 208 5 886123415 +59 382 4 888205574 +301 511 4 882075803 +341 877 3 890758113 +60 1124 4 883326652 +303 849 3 879485589 +1 151 4 875072865 +13 786 3 886303088 +56 94 4 892910292 +59 175 4 888205300 +58 246 5 884304592 +234 95 3 892079689 +365 15 3 891304152 +164 148 5 889402203 +194 202 3 879524216 +151 425 4 879528647 +83 1043 3 880308807 +116 180 5 886310197 +49 347 3 888065487 +233 644 5 880610635 +102 271 2 888781860 +144 285 4 888103969 +71 475 5 877319330 +145 1077 3 875272245 +299 742 4 877878339 +263 79 4 891298047 +276 631 3 874796412 +308 968 4 887739987 +1 51 4 878543275 +269 435 3 891449011 +95 736 4 888954170 +311 708 5 884366397 +244 90 4 880607684 +313 318 4 891013712 +258 310 5 885700778 +123 485 5 879872792 +334 183 4 891545950 +130 743 2 878537778 +269 64 4 891447960 +328 451 4 885048159 +43 300 5 875975135 +130 12 4 875216340 +90 185 5 891384959 +12 132 5 879959465 +189 216 5 893265478 +207 135 2 877822350 +315 55 5 879821267 +5 139 3 875721260 +195 469 3 880710046 +88 302 3 891037111 +153 678 2 881370935 +148 1012 4 877400154 +270 155 5 876955770 +218 273 4 881288351 +145 674 4 877343184 +223 369 1 891550253 +222 4 3 878183924 +128 785 2 879968243 +192 127 4 881367456 +228 651 4 889388521 +354 191 4 891217082 +328 82 4 885046537 +344 716 3 884901403 +38 450 1 892432624 +269 137 4 891446193 +248 55 4 884534793 +310 304 5 879435664 +13 612 4 882140318 +130 335 3 875801254 +62 774 1 879376483 +135 77 4 879858003 +294 264 2 877819090 +89 813 5 879461219 +194 433 3 879523104 +94 39 3 891721317 +318 396 1 884498684 +151 223 5 879524088 +181 1120 1 878962279 +312 234 5 891712535 +177 175 5 880130972 +297 50 5 874954541 +313 162 3 891017270 +275 89 3 875154878 +293 202 3 888906490 +330 465 5 876547250 +323 100 4 878739177 +135 566 3 879857930 +229 358 1 891632437 +288 900 5 886372155 +295 1221 5 879518455 +162 151 3 877636191 +87 55 4 879875774 +128 378 5 879967804 +268 267 3 875742077 +282 302 5 879949347 +361 222 2 879441253 +280 286 4 891700185 +334 276 4 891545089 +361 387 3 879441008 +87 385 5 879875818 +344 175 5 884901110 +312 481 5 891698893 +130 1047 5 875801897 +357 222 5 878951498 +190 118 3 891033906 +308 192 5 887736696 +106 8 4 881452405 +357 928 4 878952041 +320 678 3 884748418 +217 117 4 889069842 +216 764 2 880233153 +230 633 4 880485283 +263 82 4 891299697 +233 495 4 877661364 +314 672 5 877888723 +204 310 1 892389073 +279 240 4 889151559 +188 195 3 875073179 +177 179 5 880131057 +181 330 1 878961668 +184 458 3 889907925 +86 872 3 879570366 +79 313 2 891271086 +53 181 4 879443046 +125 204 5 879454139 +326 528 3 879875112 +276 747 4 874795448 +238 300 4 883575836 +39 333 4 891400214 +201 175 2 884140022 +276 746 4 874791806 +13 334 1 886952467 +117 12 5 881011350 +301 651 5 882075994 +280 790 4 891702013 +3 350 3 889237076 +345 956 4 884916322 +174 393 4 886514837 +181 866 1 878963037 +290 158 5 880474977 +360 238 4 880355845 +247 257 4 893081396 +162 117 4 877635869 +43 336 4 880317271 +258 311 4 885700946 +348 819 4 886523710 +191 328 3 891562090 +215 483 4 891435022 +184 665 2 889910098 +114 157 2 881260611 +184 52 4 889910034 +49 821 1 888069246 +233 212 5 877665324 +345 173 5 884902317 +55 1089 1 878176134 +293 99 3 888906402 +13 353 4 886261450 +99 196 4 885680578 +49 325 3 888065744 +367 1012 4 876689825 +123 127 5 879809943 +194 383 1 879554842 +141 825 4 884585247 +323 150 4 878739568 +279 1180 2 890781034 +330 575 4 876547165 +109 1244 3 880571872 +177 318 4 880130618 +85 792 4 879828941 +248 249 4 884536117 +298 237 5 884126240 +276 139 4 889174904 +23 257 3 890276940 +52 657 5 882922833 +201 1194 4 884111899 +330 8 5 876546236 +268 403 4 875309914 +70 176 4 884066573 +280 53 5 891702544 +234 152 4 892826701 +13 759 2 882398542 +325 181 4 891478160 +268 269 4 876513523 +154 202 3 879139096 +222 689 4 881058008 +354 269 4 891180399 +42 222 4 881105882 +99 232 4 886519075 +96 170 5 884403866 +111 1024 3 891679939 +87 300 3 879875418 +328 349 2 888641949 +13 190 4 882397145 +347 227 4 881654734 +117 258 4 880126022 +229 286 4 891633029 +329 591 2 891655812 +345 508 4 884901000 +291 396 4 874867757 +320 1188 4 884749411 +94 34 1 891723558 +72 515 4 880036602 +218 695 3 881288574 +18 12 5 880129991 +346 1110 1 875264985 +218 762 4 877489091 +178 58 5 882827134 +334 302 5 891544177 +303 49 2 879483901 +145 1208 4 875272196 +42 925 4 881106113 +329 79 4 891656391 +286 11 5 877531975 +33 343 4 891964344 +326 79 4 879875203 +339 183 4 891032828 +308 521 3 887736798 +264 1225 3 886123530 +130 672 5 875801920 +114 183 5 881260545 +276 229 3 874792483 +11 383 2 891905555 +256 202 3 882165032 +273 311 4 891292905 +116 661 4 876454023 +13 137 5 882139804 +332 82 5 888098524 +6 479 5 883601053 +91 689 5 891438617 +79 137 4 891271870 +308 265 3 887737647 +10 651 4 877888812 +295 1401 5 879966498 +18 181 3 880131631 +49 299 2 888068651 +343 423 5 876408139 +92 423 3 875655990 +244 762 3 880604616 +363 288 4 891493723 +43 423 4 883955498 +201 1425 3 884111637 +84 31 4 883453755 +59 1047 2 888203371 +234 157 2 892334400 +300 328 3 875650068 +345 1082 2 884994569 +191 269 3 891562090 +268 114 5 875744966 +147 269 4 885593812 +71 222 3 877319375 +76 59 4 875027981 +232 462 4 888549879 +102 248 3 877915935 +205 326 4 888284454 +200 25 4 876042234 +311 431 4 884365201 +197 195 5 891409798 +356 937 2 891406040 +303 1016 3 879544727 +101 815 3 877136392 +119 1259 3 874780996 +264 56 5 886122261 +210 447 5 887737631 +276 63 3 874792168 +308 178 4 887737719 +64 181 4 889737420 +303 1014 3 879544588 +271 284 3 885847956 +201 513 3 884114069 +92 628 4 875639823 +54 333 5 880928745 +301 187 4 882076403 +81 410 4 876533946 +31 498 4 881548111 +21 234 5 874951657 +311 212 3 884366397 +264 792 5 886123415 +132 137 4 891278996 +307 463 5 879283786 +311 275 4 884963136 +22 403 5 878887810 +43 318 5 875975717 +201 61 2 884111986 +186 770 2 879023819 +125 475 1 879454244 +339 73 3 891035003 +145 120 2 888398563 +51 132 4 883498655 +130 84 4 876252497 +347 144 5 881654186 +110 715 2 886989440 +100 905 3 891375630 +311 470 3 884365140 +189 248 4 893264174 +365 1017 4 891304213 +44 227 4 883613334 +201 1098 2 884112747 +295 25 5 879518042 +193 276 4 890860319 +125 1093 1 892839412 +10 711 4 877888812 +276 272 5 885871447 +43 1053 3 883955859 +342 427 4 875319254 +14 211 4 879119693 +8 190 4 879362183 +280 144 2 891700514 +333 739 5 891045410 +11 721 3 891905279 +94 380 3 891722760 +8 686 3 879362356 +115 462 4 881171273 +264 559 5 886122446 +299 297 3 877877691 +299 1021 3 878192721 +268 483 5 875309859 +95 202 4 879198209 +24 25 4 875246258 +159 546 4 880557621 +174 312 5 886432972 +368 379 4 889783562 +293 943 2 888906576 +186 550 4 879023985 +250 582 4 878090114 +185 638 4 883524364 +234 566 2 892335108 +221 257 4 875244475 +187 659 5 879465274 +313 187 4 891014373 +116 199 4 876454174 +109 9 3 880564607 +174 412 1 886433919 +7 208 5 891352220 +371 97 5 877487440 +296 255 2 884196584 +280 82 2 891700925 +271 275 4 885847693 +110 791 2 886989473 +59 926 1 888203708 +217 576 1 889070087 +145 665 5 877343212 +334 204 4 891547190 +42 568 4 881107256 +200 143 5 884128499 +89 387 5 879459909 +311 588 4 884365284 +235 269 4 889654530 +287 156 5 875336804 +344 204 4 884901024 +43 289 4 875975085 +99 11 5 885680138 +145 159 4 875272299 +200 82 5 884129656 +269 316 4 891446132 +13 517 5 882139746 +184 208 4 889908985 +327 144 4 887820293 +218 517 3 877488634 +6 487 5 883600785 +279 792 3 875308843 +268 161 3 875744199 +85 124 5 882813248 +75 472 4 884050733 +18 483 4 880129940 +234 291 3 892335342 +196 238 4 881251820 +318 750 4 884469971 +2 281 3 888980240 +295 102 4 879518339 +276 81 4 874791101 +194 1409 2 879552662 +291 1078 4 875086920 +145 896 2 888396828 +160 762 3 876769148 +290 216 4 880475218 +174 1254 1 886434421 +327 435 4 888251521 +145 471 4 885622707 +83 465 4 880308578 +277 591 4 879543768 +214 56 5 892668130 +345 1315 3 884994631 +330 44 5 876546920 +328 1277 3 885049084 +6 131 5 883602048 +334 693 3 891547083 +156 192 4 888185735 +91 479 4 891439208 +130 22 5 875217265 +75 271 5 884051635 +328 265 5 885045993 +291 379 3 874834827 +222 815 2 877563716 +347 168 5 881653798 +328 510 5 885046376 +290 423 5 880474422 +12 157 5 879959138 +151 114 5 879524268 +294 603 5 889854323 +244 232 4 880608670 +130 63 4 876252521 +259 762 2 883372151 +58 425 5 884304979 +245 112 4 888513575 +184 1232 3 889910123 +122 727 4 879270849 +144 129 4 888104234 +305 357 5 886323189 +16 96 5 877717833 +1 175 5 875072547 +7 618 4 891350900 +16 546 4 877726944 +80 45 4 887401585 +173 294 5 877556864 +104 1017 1 888465634 +161 523 3 891170686 +179 1316 3 892151489 +12 71 4 879959635 +59 141 4 888206605 +339 636 4 891035248 +321 485 4 879439787 +201 204 4 884113082 +59 516 4 888204430 +56 118 4 892679460 +191 332 2 891562090 +65 318 5 879217689 +249 993 3 879571779 +145 229 3 885557699 +262 336 3 879961474 +235 52 4 889656168 +116 604 3 876454174 +49 476 1 888069222 +286 325 1 889651253 +221 588 3 875246209 +197 344 4 891409070 +198 23 4 884208491 +207 28 4 877822162 +345 251 5 884994119 +145 760 2 888398123 +316 1084 4 880853953 +77 179 5 884752806 +83 575 4 880309339 +328 55 4 885046655 +178 1035 4 882828350 +346 33 5 875261753 +89 26 3 879459909 +334 1315 4 891545185 +263 69 5 891298914 +53 199 5 879442384 +312 498 5 891699568 +213 1 2 878870719 +270 173 5 876955531 +85 690 2 890255371 +85 404 3 882994947 +184 949 3 889909618 +330 823 3 876544872 +230 1050 3 880485136 +184 255 3 889907468 +312 132 5 891699121 +322 179 5 887314416 +32 118 3 883717967 +184 1010 4 889907896 +18 180 4 880130252 +55 89 5 878176398 +373 588 3 877098821 +274 546 3 878945918 +363 97 2 891496513 +177 197 4 880130758 +87 796 4 879877280 +24 477 5 875323594 +137 261 5 882805603 +253 237 4 891628002 +298 200 3 884183063 +344 597 2 884900454 +305 638 5 886324128 +85 499 4 879455114 +44 168 5 878347504 +33 258 4 891964066 +293 8 3 888905736 +365 109 2 891304106 +90 42 4 891384885 +99 963 3 885679998 +176 250 4 886047963 +234 414 4 892336021 +308 515 3 887737536 +314 983 4 877892488 +85 1168 3 882995908 +137 50 5 881432937 +130 1016 4 874953698 +117 1057 2 881010401 +225 64 4 879539727 +109 117 5 880564457 +85 199 5 879829438 +15 924 3 879456204 +179 269 3 892151064 +154 333 3 879138287 +170 333 4 886190330 +49 202 3 888068816 +62 183 4 879374893 +343 1132 4 876403746 +43 866 4 883956417 +95 471 5 884266051 +116 294 2 876453376 +95 2 2 888955909 +223 120 2 891550504 +151 419 3 879524878 +291 1098 4 875086330 +303 79 5 879466891 +15 289 3 879455262 +308 443 3 887740500 +43 316 5 892349752 +334 77 3 891549247 +26 864 2 891383899 +130 779 4 878537558 +138 514 5 879024043 +234 237 3 892336021 +297 79 3 875239125 +335 324 1 891567098 +334 620 2 891545540 +276 597 3 874787150 +69 689 3 882027284 +297 864 3 874954541 +153 64 5 881371005 +184 699 5 889909914 +58 568 4 884304838 +178 480 3 882826048 +348 288 5 886522495 +62 173 5 879374732 +307 428 4 877118113 +222 946 2 878182237 +117 240 3 880126038 +10 705 4 877892050 +94 1032 2 891723807 +326 185 5 879875203 +59 739 4 888206485 +307 189 4 877121617 +339 431 4 891035488 +318 182 4 884496549 +321 494 4 879440318 +217 185 3 889069659 +72 435 5 880037242 +249 431 5 879641194 +299 1141 4 877880522 +13 888 2 886261388 +151 972 4 879543366 +235 705 5 889655204 +160 4 4 876861754 +12 15 5 879959670 +62 78 2 879376612 +314 42 5 877888610 +89 151 5 879441507 +230 582 4 880485380 +120 9 4 889489886 +316 614 2 880854267 +331 454 3 877196702 +40 271 2 889041523 +345 172 4 884991831 +55 1016 1 878176005 +92 1213 2 875907079 +73 28 3 888626468 +373 694 5 877098643 +373 707 4 877100378 +336 405 3 877760374 +325 484 5 891478643 +8 301 4 879361550 +141 237 4 884584865 +141 1258 4 884585071 +345 216 5 884901701 +87 88 5 879876672 +209 1105 2 883589568 +7 587 4 891353950 +290 98 4 880474235 +16 692 4 877719158 +175 176 3 877107255 +185 197 5 883524428 +328 331 4 885045085 +244 20 4 880604758 +181 1048 2 878963275 +246 840 4 884924045 +269 293 3 891446308 +246 385 1 884922272 +221 789 4 875245739 +130 150 5 874953558 +109 176 5 880577868 +174 332 5 886432901 +94 28 4 885873159 +85 1098 4 879828912 +48 522 2 879434886 +237 98 4 879376327 +293 23 4 888905865 +313 494 3 891016193 +178 70 4 882827083 +293 322 2 888904456 +6 528 4 883602174 +236 15 5 890116628 +38 393 5 892430282 +276 737 4 890979964 +143 328 4 888407656 +276 854 4 874791806 +90 693 3 891385752 +18 960 4 880131004 +251 222 4 886272547 +7 172 4 891350965 +44 106 2 878347076 +85 382 4 879454820 +184 13 3 889907839 +286 20 4 876521858 +56 219 5 892679144 +345 403 3 884992922 +45 1061 2 881016056 +73 156 4 888625835 +254 125 3 886473158 +184 202 3 889909768 +360 309 2 880354094 +214 236 5 892668153 +18 179 4 880129877 +57 1094 2 883697990 +363 616 3 891498135 +200 29 4 884130540 +148 228 4 877016514 +63 323 1 875746986 +270 66 4 876955531 +6 28 2 883603013 +291 834 3 874834358 +314 143 5 877890234 +82 520 3 878769703 +346 218 3 875263574 +103 222 3 880415875 +189 657 5 893265123 +154 182 5 879138783 +13 384 2 882141814 +291 1083 3 874834876 +148 473 5 877399322 +271 1091 4 885849648 +264 219 5 886122447 +154 50 5 879138657 +370 56 2 879434587 +27 298 4 891543164 +268 395 2 875744021 +82 480 4 878769373 +94 118 3 891723295 +342 1368 5 874984507 +299 889 3 884023918 +177 245 3 880130534 +44 185 4 878347569 +371 175 1 877487266 +186 237 2 879023934 +102 176 3 888801360 +43 238 2 883955160 +326 134 3 879875797 +243 713 3 879987495 +349 105 2 879466283 +82 25 2 878768435 +257 50 5 882049897 +14 70 1 879119692 +346 17 1 874950839 +6 467 4 883602284 +227 276 4 879035251 +157 298 4 886889876 +290 1336 3 880733010 +189 847 4 893264150 +86 889 5 879570973 +249 333 4 879571521 +42 211 4 881107880 +152 790 5 884018821 +328 1248 3 885047417 +193 485 5 889124252 +59 709 5 888204997 +293 228 3 888906315 +346 977 3 875264110 +207 183 2 875509832 +239 1020 3 889180920 +301 77 3 882076751 +248 183 5 884534772 +288 12 4 886374130 +303 451 5 879468581 +255 436 4 883216544 +210 202 5 887737338 +363 102 4 891498681 +299 479 4 878192556 +92 834 1 875906882 +323 327 4 878738910 +374 1047 3 880394179 +249 628 3 879640306 +222 401 2 878184422 +122 70 5 879270606 +122 511 5 879270084 +23 32 3 874785809 +10 696 4 877892276 +144 298 3 888103988 +196 663 5 881251911 +152 966 5 882829150 +157 740 2 886889876 +18 610 4 880130861 +107 258 4 891264466 +125 999 4 892838288 +334 475 4 891544953 +207 171 3 880839802 +85 480 4 879453658 +111 269 5 891679692 +12 191 5 879960801 +304 322 4 884968415 +342 544 1 875318606 +201 482 4 884111360 +333 748 4 891044596 +167 1126 5 892738418 +303 1224 2 879485475 +222 62 4 878183616 +6 136 5 883600842 +223 276 4 891549324 +340 1133 5 884991742 +70 546 2 884066211 +244 764 5 880605158 +355 310 4 879485423 +230 185 4 880485090 +295 210 4 879518378 +308 98 3 887737334 +210 49 3 891036116 +130 1228 3 878537681 +249 456 3 879640549 +215 230 3 891436469 +207 1118 3 878104017 +136 313 2 882693234 +276 117 4 874786568 +216 824 3 880233253 +269 50 3 891448926 +293 466 3 888906655 +275 142 2 880315197 +136 1142 4 882693569 +112 347 1 891302716 +292 1014 3 881104424 +77 176 4 884752757 +314 941 3 877889971 +181 829 1 878962675 +200 33 4 884129602 +291 551 2 874867824 +301 152 3 882077285 +291 237 4 874805668 +334 716 3 891548758 +216 218 4 880234933 +358 482 2 891270510 +13 243 3 882140966 +100 289 3 891375359 +119 12 3 874781915 +268 558 3 875309304 +94 273 4 885872684 +200 205 4 884128458 +333 98 4 891045496 +256 161 5 882164559 +265 409 3 875320462 +268 108 3 875742992 +320 3 4 884748978 +90 178 5 891384611 +347 609 4 881654064 +286 405 3 876522150 +136 223 4 882848820 +344 537 4 884814432 +244 22 4 880605665 +350 1 4 882345734 +299 127 5 877877434 +221 129 5 875244331 +328 403 3 885047281 +181 21 1 878963381 +254 174 5 886471720 +158 566 3 880134499 +262 419 3 879791710 +243 1466 3 879988104 +230 7 3 880484476 +301 411 1 882074867 +104 347 2 888442140 +348 1 4 886523078 +208 302 1 883108157 +151 675 2 879524368 +105 258 5 889214306 +72 210 4 880037242 +322 89 3 887314185 +280 180 4 891700453 +10 367 4 877892437 +156 137 4 888185735 +372 159 5 876869894 +363 316 3 891493918 +178 866 4 882825357 +181 112 1 878962955 +346 232 3 875263877 +114 507 3 881260303 +14 14 3 879119311 +271 248 4 886106129 +354 847 3 891216713 +263 328 4 891297330 +258 893 1 885701099 +100 691 4 891375260 +259 12 5 874809192 +90 604 5 891383350 +130 367 4 875801369 +327 293 3 887745574 +57 173 5 883698408 +239 493 5 889180616 +318 305 2 884470682 +13 776 2 882398934 +339 32 5 891032255 +253 188 4 891628416 +311 199 4 884365485 +311 226 4 884366397 +283 42 5 879298333 +125 386 3 892838827 +361 26 3 879440941 +283 24 4 879297867 +334 210 3 891546405 +181 1390 1 878962052 +336 202 1 877757909 +254 222 4 886471346 +276 544 3 889174870 +89 83 4 879459884 +268 265 3 875310603 +311 748 4 884364071 +270 17 2 876956064 +344 196 4 884901328 +58 480 3 884305220 +328 31 4 886036884 +234 221 2 891227814 +60 633 4 883326995 +2 13 4 888551922 +321 180 4 879440612 +131 1 4 883681384 +307 91 4 879283514 +264 709 5 886123727 +181 1282 1 878962496 +102 403 3 888801812 +197 808 3 891409893 +308 487 4 887736798 +374 126 3 880393223 +6 117 2 883599431 +367 250 5 876689824 +299 257 2 877877732 +25 480 4 885852008 +87 208 5 879876403 +277 748 3 879543879 +332 655 5 888360248 +16 735 3 877720186 +236 419 5 890116282 +11 736 4 891906411 +1 107 4 875241619 +6 32 4 883601311 +72 124 4 880035636 +214 952 3 891543176 +305 52 2 886323506 +345 297 4 884994156 +269 902 5 891446132 +336 864 1 877757837 +314 402 4 877888758 +33 313 5 891963290 +345 1017 2 884991303 +346 392 3 875266064 +123 50 3 879873726 +161 286 2 891169991 +330 204 5 876546839 +234 781 2 892335764 +181 148 2 878963204 +262 238 4 879792713 +233 492 5 880923253 +200 294 4 884125953 +213 135 5 878956101 +130 596 4 874953825 +346 167 2 875264209 +142 362 3 888639920 +325 135 5 891478006 +83 28 4 880308284 +90 521 4 891384570 +13 530 5 881515295 +314 765 3 877889480 +361 275 4 879440694 +334 436 3 891548203 +314 147 4 877886584 +363 906 2 891493795 +92 183 4 875653960 +247 272 4 893081381 +230 51 4 880484937 +44 755 3 878347742 +98 209 2 880498935 +326 674 3 879877433 +303 96 5 879466830 +92 318 2 875653307 +12 196 5 879959553 +94 64 5 885870362 +327 288 4 887743600 +288 317 4 886374497 +373 724 5 877103935 +337 106 2 875184682 +179 301 4 892151565 +267 7 5 878970503 +241 332 3 887249841 +87 182 4 879875737 +311 679 4 884365580 +58 20 1 884304538 +276 77 3 874795751 +194 450 1 879555001 +236 51 5 890116709 +44 9 5 878341196 +354 480 4 891217897 +303 62 2 879484159 +134 300 3 891732220 +92 692 4 875653805 +338 604 4 879438326 +224 86 3 888082612 +341 880 5 890757997 +194 218 4 879524892 +94 1206 3 891723593 +332 300 5 887916188 +180 111 5 877127747 +321 709 4 879441308 +108 181 3 879879985 +199 242 5 883782485 +46 313 5 883611274 +85 855 3 879827989 +188 504 3 875074589 +174 333 4 886432811 +153 22 2 881371140 +119 188 4 874781742 +45 476 3 881015729 +287 346 5 888177040 +14 498 5 890881384 +189 21 2 893264619 +363 189 5 891495070 +367 246 4 876689612 +268 82 3 875310784 +14 181 5 889666215 +200 570 4 884130484 +91 529 4 891438977 +195 258 4 882859352 +194 559 2 879521937 +301 281 4 882074903 +60 272 4 889286840 +278 347 4 891294932 +181 1370 1 878962550 +344 477 3 884900353 +44 209 5 878347315 +38 225 5 892433062 +18 276 5 880130829 +91 82 5 891439386 +336 395 2 877757094 +305 156 4 886323068 +102 810 2 888802508 +181 1272 1 878962349 +156 317 4 888185906 +365 258 4 891303515 +32 122 2 883718250 +6 15 3 883599302 +236 756 1 890117353 +234 965 3 892079538 +232 498 4 888549467 +130 625 5 875801750 +291 41 4 875086636 +344 25 4 884814480 +222 232 4 878183985 +13 907 1 884538485 +378 554 3 880333540 +214 327 5 892668196 +279 762 3 875297199 +363 1007 5 891499355 +297 135 4 875238608 +13 232 3 890704999 +13 861 3 882139774 +87 79 5 879875856 +195 61 3 888737277 +158 11 4 880134398 +13 48 5 882139863 +189 121 2 893264816 +344 663 5 884900993 +14 922 4 880929651 +181 840 1 878963204 +181 1259 1 878962496 +94 50 5 891720996 +206 904 1 888180081 +89 707 5 879459884 +62 1128 2 879372831 +288 340 5 886372155 +329 515 4 891655932 +354 882 4 891216157 +291 101 4 875087198 +153 127 3 881371140 +285 168 4 890595900 +303 153 5 879466421 +13 505 3 882140389 +246 675 4 884920978 +93 476 4 888705879 +268 129 2 875742437 +325 1411 4 891478981 +226 7 4 883889479 +297 175 4 875238883 +344 451 4 884901403 +233 69 5 877665324 +87 684 5 879875774 +70 472 3 884148885 +181 1378 1 878962169 +260 300 3 890618198 +200 45 3 884128372 +246 720 1 884923592 +92 527 3 875653549 +330 50 5 876544366 +82 103 2 878768665 +299 496 3 878192154 +28 218 3 881961601 +64 83 3 889737654 +262 1054 2 879791536 +59 102 2 888205956 +294 325 3 877818861 +294 471 4 877820189 +344 58 3 884814697 +276 46 3 874791145 +21 974 3 874951416 +43 993 3 875975211 +72 644 4 880036602 +273 902 5 891293008 +54 1016 4 890609001 +276 265 4 874792483 +328 162 4 885048004 +90 813 4 891384997 +161 127 3 891171698 +305 245 1 886308147 +69 9 4 882126086 +273 900 3 891292873 +95 14 5 879197329 +177 289 2 880130534 +334 922 4 891544810 +64 420 3 889739678 +119 562 4 886177206 +23 419 3 874787204 +154 480 5 879138784 +271 25 3 885847876 +276 231 3 874796373 +60 671 4 883327175 +279 464 4 875310041 +42 12 4 881107502 +320 576 3 884749411 +279 226 4 880850073 +378 63 3 880333719 +347 465 3 881654825 +15 508 2 879455789 +328 370 3 885048986 +204 292 5 892388857 +378 367 3 880055002 +295 485 4 879517558 +255 763 5 883217072 +67 121 4 875379683 +328 443 4 885048235 +57 237 4 883697182 +20 405 3 879668555 +243 28 4 879988215 +94 1210 3 891723558 +328 371 4 885046773 +188 148 4 875074667 +308 204 4 887737891 +344 568 5 884901419 +130 685 3 874953895 +206 258 4 888179602 +119 111 5 886176779 +347 208 2 881654480 +151 514 4 879524797 +13 21 3 882399040 +373 598 3 877112076 +210 186 4 887730532 +144 274 3 888104382 +58 813 5 884304430 +76 474 5 875498278 +294 147 4 877819845 +184 77 3 889910217 +137 222 5 881432908 +311 527 4 884365780 +259 235 2 883372151 +43 597 3 883956229 +92 196 4 875654222 +254 162 3 886472643 +95 83 5 880573288 +104 475 4 888465582 +214 248 4 891543001 +128 790 4 879969277 +293 55 4 888906096 +195 1013 3 877156636 +11 135 4 891904335 +178 178 4 882826395 +270 156 5 876955899 +269 1480 1 891451725 +151 234 4 879524819 +174 1001 1 886515030 +151 428 5 879542510 +276 164 4 874792663 +130 333 5 875801239 +332 288 5 887916151 +189 143 5 893266027 +43 847 5 875975468 +188 13 4 875073408 +172 485 3 875538028 +262 44 2 879794446 +135 802 2 879858003 +304 275 4 884968264 +308 393 4 887740367 +342 1071 4 875319497 +76 333 3 879575966 +345 988 2 884916551 +303 257 4 879544558 +293 679 2 888906699 +2 280 3 888551441 +368 50 4 889783678 +344 707 4 884900792 +92 552 3 875907078 +40 303 4 889041283 +288 157 4 886373619 +233 117 3 880190627 +90 478 5 891384754 +112 325 1 884992714 +45 276 5 881012184 +3 341 1 889237055 +159 877 3 893255740 +59 501 1 888205855 +117 358 4 880124509 +207 150 3 877847150 +318 401 3 884498292 +22 999 4 878886902 +267 384 3 878973734 +124 157 2 890287936 +6 135 5 883600747 +69 48 5 882145428 +263 1444 3 891299949 +82 1001 1 878769138 +57 7 4 883697105 +13 869 3 882141727 +286 89 4 877533381 +151 1297 1 879542847 +262 270 3 879961283 +218 410 3 881288574 +372 219 5 876869481 +213 204 5 878956130 +77 276 2 884732991 +7 8 5 891351328 +299 582 2 889502159 +145 752 4 888396828 +205 258 3 888284313 +106 1 4 881449487 +314 138 5 877890960 +346 237 4 874949086 +286 1503 3 877534107 +339 101 3 891034626 +293 31 2 888906244 +180 69 4 877355568 +347 317 1 881654409 +237 153 3 879376698 +295 154 5 879517801 +216 204 4 881432523 +291 1046 4 874834875 +334 1172 3 891545852 +329 258 3 891656639 +146 262 4 891457714 +144 194 5 888105287 +92 531 4 875653121 +313 487 3 891016378 +315 46 4 879799526 +344 106 2 884900583 +270 1014 4 876954062 +230 969 4 880484476 +90 1101 4 891384570 +276 234 5 880913767 +325 168 3 891478796 +15 754 5 879455080 +324 298 5 880575493 +73 48 2 888625785 +232 315 5 888364663 +328 98 4 885045899 +128 588 5 879967136 +43 315 4 883953665 +27 281 3 891543164 +189 100 4 893263994 +296 15 3 884196712 +342 518 3 875318858 +332 332 4 887916411 +339 693 5 891033200 +297 448 3 875240171 +303 260 3 879466291 +181 324 1 878961814 +244 287 3 880604326 +151 506 4 879524900 +251 183 5 886271733 +159 225 4 880557347 +342 156 4 874984128 +194 117 3 879535704 +85 1167 3 879829209 +244 122 4 880602804 +251 237 5 886272346 +180 216 5 877128388 +363 71 3 891495301 +233 269 5 891920842 +297 238 5 875409525 +223 1300 1 891550470 +185 318 4 883524172 +308 87 4 887737760 +262 145 1 879795155 +297 235 2 874954611 +209 304 2 883460468 +295 1446 4 879519026 +224 212 1 888104188 +279 739 1 879573060 +361 652 4 879440346 +42 82 4 881107449 +293 27 3 888907753 +234 603 4 892333573 +350 228 4 882347598 +280 159 4 891701944 +174 49 4 886513788 +296 455 1 884196921 +374 685 4 880393307 +256 12 5 882164696 +106 223 4 881450440 +181 269 1 878961511 +314 693 3 877891575 +87 1074 3 879876813 +366 853 5 888857750 +75 108 4 884050661 +85 498 4 879454400 +270 286 5 876953744 +128 423 4 879967966 +299 485 4 877881320 +378 202 3 880046229 +290 473 1 880475420 +233 97 5 877661882 +293 405 1 888905198 +92 295 2 886442386 +299 715 4 889503441 +130 678 4 874953526 +184 258 3 889906882 +183 225 1 891467546 +280 7 4 891700385 +374 231 2 880939228 +254 259 2 886470859 +149 305 4 883512658 +291 1213 3 874871655 +181 276 2 878962816 +251 265 3 886271641 +276 1013 3 874787150 +67 1093 5 875379419 +269 919 4 891446132 +276 1172 4 882659550 +41 170 4 890687713 +276 1253 1 874795729 +95 878 1 881599623 +298 473 3 884183952 +289 473 1 876790576 +6 286 2 883268170 +327 1067 4 887819538 +234 604 5 892078936 +345 197 4 884992141 +197 779 2 891410170 +120 257 2 889490979 +293 616 3 888907753 +174 196 5 886514108 +178 682 3 892239928 +137 172 5 881433719 +128 300 5 879966355 +253 127 5 891628060 +88 321 1 891037708 +222 449 4 878184899 +247 111 5 893097024 +60 176 4 883326057 +92 313 5 887042925 +256 385 5 882164603 +343 25 2 876402814 +314 215 4 877888722 +115 172 4 881171273 +263 210 3 891298792 +305 249 3 886322174 +244 62 2 880607269 +267 568 4 878972955 +87 810 3 879876111 +330 181 5 876544277 +134 258 4 891732122 +13 61 4 882140552 +346 133 5 874948513 +108 121 3 879880190 +368 637 2 889783617 +305 660 4 886324734 +298 286 4 884124929 +256 49 4 882165238 +286 277 4 875807003 +286 107 1 875807043 +327 32 4 887747266 +201 128 2 884111546 +288 15 4 886892177 +308 610 4 887738847 +334 387 4 891548579 +204 315 4 892388857 +257 165 4 879547534 +347 435 5 881654211 +181 827 2 878963276 +13 784 1 882397084 +26 508 3 891352941 +118 511 5 875384885 +239 114 3 889178616 +339 589 5 891032221 +171 327 4 891034835 +378 8 4 880045722 +14 509 5 890881521 +62 33 1 879374785 +64 284 4 889740056 +269 177 5 891449214 +200 151 3 876042204 +370 265 5 879434636 +327 478 4 887819860 +10 509 4 877889005 +108 275 5 879879739 +311 365 4 884365580 +199 324 1 883782509 +363 55 5 891495682 +180 56 5 877127130 +60 194 4 883326425 +14 121 3 876965061 +18 136 5 880129421 +270 222 5 876954521 +268 17 3 875743588 +323 203 5 878739953 +334 502 3 891546963 +354 716 3 891307157 +336 571 1 877756999 +144 33 5 888105902 +226 169 5 883888892 +301 168 4 882075994 +99 685 3 885678840 +181 1289 1 878962866 +197 271 2 891409352 +312 357 5 891698987 +54 1012 2 880936669 +200 38 3 884130348 +69 1143 5 882072998 +5 40 4 879198109 +181 766 1 878962675 +303 80 4 879484563 +110 575 3 886989566 +299 208 4 878191995 +275 423 4 880315322 +210 200 5 887737040 +327 1097 4 887819860 +99 7 4 885678784 +64 240 1 889740462 +101 1034 2 877136686 +18 778 2 880131077 +301 159 3 882076890 +90 166 4 891383423 +213 2 4 878955914 +251 520 5 886271955 +295 99 4 879517741 +279 175 5 875296461 +64 636 4 889740286 +303 231 4 879485292 +184 196 4 889908985 +197 92 1 891410082 +315 156 5 879821267 +23 662 3 874788045 +291 56 5 874834701 +5 90 3 875636297 +146 1294 4 891457749 +254 90 1 886475406 +326 559 3 879877413 +290 91 2 880474451 +94 472 3 891723707 +189 484 5 893266105 +292 479 4 881105516 +194 425 2 879522240 +326 633 4 879875852 +16 761 2 877727192 +304 288 3 884966696 +221 721 5 875246944 +160 209 4 876861185 +80 58 4 887401677 +178 76 3 882827288 +62 147 3 879372870 +158 550 3 880134445 +344 313 3 884814359 +291 365 3 874871570 +112 302 4 886398509 +207 188 3 875509262 +13 457 1 883670785 +234 1 3 891227689 +260 272 3 890618349 +63 13 4 875747439 +325 640 3 891478376 +194 124 4 879539229 +71 56 5 885016930 +30 678 2 885942002 +291 4 4 874835062 +378 1267 3 880055740 +177 260 2 880130534 +21 292 3 874950889 +326 132 4 879875398 +244 508 4 880604276 +128 602 4 879967478 +276 779 2 874977513 +263 245 4 891297417 +323 255 4 878739275 +92 986 2 890251716 +276 282 4 883822485 +186 1277 4 879023677 +264 25 4 886124197 +161 274 2 891172070 +86 300 3 879570277 +303 91 5 879483480 +10 135 5 877889004 +301 407 2 882075202 +60 502 4 883327394 +377 443 4 891299078 +142 350 4 888639882 +374 591 4 880393095 +110 732 3 886988018 +352 182 5 884290328 +109 1013 3 880572296 +328 350 3 886036374 +181 283 3 878963241 +354 631 4 891217449 +334 1073 4 891547714 +181 1373 1 878962052 +54 121 4 880936669 +293 12 4 888905665 +279 1489 3 891208884 +138 111 4 879022890 +298 502 5 884183406 +318 66 4 884495921 +67 151 4 875379619 +301 160 2 882077284 +47 321 4 879439040 +304 682 3 884967520 +109 204 4 880577844 +189 505 5 893265239 +16 183 5 877720733 +269 645 4 891448048 +297 116 4 874954260 +373 139 3 877111422 +274 815 3 878945763 +123 511 5 879872066 +13 40 2 886302815 +61 342 2 892302309 +76 421 3 875028682 +284 313 3 885328727 +339 806 4 891032737 +5 153 5 875636375 +280 1047 3 891701897 +199 322 2 883782636 +343 143 4 876406677 +303 926 2 879485814 +232 276 5 880062447 +1 218 3 876892856 +151 417 3 879543075 +270 241 5 876955633 +269 272 3 891445757 +339 248 4 891034592 +46 328 4 883611430 +198 1014 2 884206330 +151 505 5 879528909 +184 478 4 889908902 +234 274 3 892334765 +348 742 4 886523078 +374 129 5 880392846 +221 53 4 875247565 +308 584 4 887738717 +268 746 3 876513855 +263 127 4 891299514 +83 795 3 880309214 +168 7 1 884287559 +284 344 4 885329593 +375 44 3 886622131 +91 435 4 891439353 +311 58 3 884364570 +204 191 4 892513906 +109 200 2 880577734 +201 70 3 884112029 +312 241 3 891699655 +215 183 5 891435655 +128 173 5 879966756 +13 351 1 886302385 +378 52 5 880056491 +345 949 3 884992897 +12 754 4 879958810 +54 406 2 880938490 +128 237 4 879966954 +223 1014 4 891549975 +197 33 2 891409981 +270 800 5 876956106 +373 154 5 877098919 +24 275 5 875323507 +214 1401 4 891544290 +16 27 2 877726390 +325 521 4 891478160 +243 221 5 879989217 +200 578 5 884130085 +343 702 4 876406257 +345 479 4 884991812 +327 645 4 887818991 +141 750 1 886447564 +13 73 3 882141485 +299 347 4 887135610 +181 922 1 878963305 +13 467 5 882140588 +276 227 4 880913800 +189 483 5 893265291 +135 228 4 879857797 +256 1040 3 882152604 +84 151 4 883449993 +207 245 3 877994095 +189 96 5 893265971 +135 642 4 879857868 +84 523 4 883453642 +269 213 5 891447255 +307 154 5 879282952 +117 288 3 880124254 +43 648 5 883955293 +359 250 4 886453354 +373 2 4 877100416 +327 173 4 887747337 +326 82 3 879876861 +190 294 3 891033370 +72 520 5 880036515 +378 356 4 880045989 +91 338 4 891438529 +363 1267 2 891496481 +128 591 4 879967879 +252 268 5 891455329 +214 512 5 892668130 +303 249 4 879544739 +313 135 5 891014401 +239 168 4 889179478 +361 148 1 879441324 +94 447 4 891721562 +109 931 2 880572407 +298 311 3 884126552 +329 269 4 891655191 +66 117 3 883601787 +291 790 4 875086699 +175 629 3 877107942 +347 423 4 881654567 +291 155 3 875087371 +7 203 5 891352178 +201 285 4 884114471 +374 356 3 880937876 +303 326 2 879466116 +131 275 2 883681384 +186 1253 4 891719774 +347 1088 1 881653224 +184 588 5 889909812 +234 328 2 891033772 +293 147 2 888905229 +276 1239 1 874977512 +101 118 3 877136424 +269 497 3 891449429 +256 982 3 882152630 +305 602 3 886324058 +94 63 3 891723908 +327 650 4 887745699 +43 118 4 883955546 +347 268 4 881652169 +194 517 3 879521856 +281 989 2 881200789 +232 81 5 888549515 +42 88 5 881108425 +18 526 4 880131407 +55 678 3 878176206 +158 182 5 880134296 +288 13 5 886892241 +102 689 3 883277481 +323 249 3 878739488 +294 544 4 877819673 +268 232 3 875310745 +94 646 5 885873006 +157 3 3 886890734 +279 147 4 875297199 +90 475 3 891385465 +276 1073 3 874795613 +301 684 3 882077330 +191 343 3 891561856 +201 324 5 884110811 +213 448 4 878956074 +145 831 1 888398329 +65 135 4 879216567 +291 154 4 875086185 +379 69 4 880524754 +345 559 1 884901497 +62 179 4 879374969 +331 277 4 877196384 +43 54 3 883956494 +244 240 3 880604858 +279 469 4 884982881 +1 209 4 888732908 +313 417 2 891030334 +151 1074 2 879543342 +329 124 5 891655905 +332 354 5 888189331 +303 159 3 879484695 +249 472 3 879640502 +6 513 4 883600913 +1 259 1 875692979 +308 144 3 887737956 +174 577 1 886515295 +327 188 5 887745774 +332 271 4 887916217 +59 660 4 888205534 +130 959 4 876251865 +94 144 3 891721168 +280 117 5 891700366 +151 47 3 879528459 +249 169 5 879572106 +184 34 2 889913568 +344 315 5 884813342 +339 139 3 891036199 +74 1084 3 888333542 +347 69 5 881653687 +293 761 2 888907981 +308 234 3 887737084 +268 421 3 876513927 +328 185 4 885045899 +365 908 3 891303638 +200 15 4 884127745 +5 94 3 878844651 +318 509 5 884495817 +234 423 4 892334079 +118 816 3 875385335 +354 297 4 891216760 +130 405 4 875801984 +279 4 4 875296461 +198 217 4 884208273 +342 237 4 874984832 +195 1228 1 876632600 +48 988 2 879434387 +7 281 3 891353710 +64 318 4 889737593 +253 647 3 891628229 +99 56 5 885679833 +13 443 4 882140588 +151 775 2 879543366 +91 510 3 891439090 +343 211 5 876405820 +279 92 4 890282182 +57 248 5 883697223 +94 428 5 891725332 +42 28 5 881108187 +343 792 5 876405172 +144 209 2 888105116 +290 243 3 880473474 +100 316 5 891375313 +374 977 1 883628189 +249 684 4 879641285 +145 346 5 883840638 +379 705 4 888646088 +184 70 4 889908657 +94 657 5 891720761 +178 520 5 882826210 +303 1088 2 879544946 +21 774 2 874951898 +328 1042 3 885049024 +276 276 4 874786605 +77 50 4 884732345 +237 183 5 879376641 +5 389 1 875721315 +234 54 2 892336257 +22 502 4 878886647 +226 283 2 883889811 +199 678 1 883782636 +148 357 5 877016735 +326 612 2 879875083 +59 562 4 888206094 +94 206 4 891722843 +109 520 5 880572642 +329 276 4 891655905 +321 50 4 879438793 +174 655 5 886514168 +144 73 3 888105636 +56 186 3 892676933 +87 568 5 879875818 +269 387 3 891448283 +201 340 5 884110887 +165 419 4 879525706 +191 270 3 891560253 +190 628 4 891042883 +5 411 1 875635431 +169 308 3 891268776 +303 288 4 879466018 +69 151 5 882072998 +145 1040 1 888398492 +279 490 3 890282225 +1 108 5 875240920 +253 173 5 891628483 +77 265 3 884753152 +283 216 4 879298206 +224 1085 1 888104393 +336 117 3 877760603 +378 1284 2 880318158 +174 118 2 886434186 +296 98 5 884197091 +130 210 5 876252288 +1 262 3 875071421 +89 949 3 879460027 +58 204 4 884304701 +263 1473 5 891299877 +92 273 4 875640214 +67 743 4 875379445 +311 627 4 884366067 +234 727 3 892079475 +351 1316 4 883356883 +90 433 3 891384611 +194 1220 3 879524790 +222 819 2 877563353 +311 510 4 884366545 +59 1065 5 888205188 +195 421 4 892362736 +145 44 5 875272132 +38 1014 5 892429542 +186 71 5 879024535 +82 109 1 884714204 +264 436 3 886122352 +361 949 4 879440774 +200 173 5 884128554 +279 405 3 886015701 +7 505 3 891352341 +121 235 1 891390579 +301 380 4 882078459 +380 176 3 885481179 +332 7 4 887916547 +316 71 1 880854472 +7 266 4 891350703 +293 2 3 888907101 +18 792 5 880131106 +166 258 4 886397562 +373 849 3 877105005 +177 195 4 880130699 +254 15 3 886471307 +328 100 5 885046305 +344 111 4 884899767 +223 118 2 891549945 +189 607 4 893266204 +183 250 2 891464352 +276 1110 3 874977474 +194 509 3 879522085 +267 1073 5 878974783 +313 182 4 891013773 +10 498 5 877889333 +276 69 4 874790996 +60 729 4 883327975 +264 203 2 886122508 +116 531 2 876453519 +62 121 4 879372916 +345 313 4 884900467 +126 322 3 887854777 +90 423 5 891384997 +227 117 2 879035493 +271 713 4 885847800 +25 269 4 885851953 +361 1041 2 879441179 +85 971 3 879828156 +346 780 2 875264904 +338 56 3 879438535 +363 433 4 891495143 +217 1303 2 889069944 +159 245 5 880485488 +141 748 3 884584664 +49 122 2 888069138 +365 813 5 891303901 +373 25 4 877100016 +301 67 2 882078621 +149 312 1 883512950 +21 773 3 874951797 +357 742 4 878951691 +373 81 2 877100326 +82 281 3 884714290 +90 96 4 891384754 +327 198 4 887747337 +268 1157 1 875745428 +374 173 3 882158521 +83 783 4 880308453 +318 655 4 884496290 +216 693 3 881428365 +381 582 5 892696045 +333 316 5 891044659 +21 325 4 874950931 +279 195 4 875310631 +279 24 5 875295591 +349 370 2 879466283 +127 748 5 884364108 +56 95 4 892683274 +38 71 5 892430516 +276 879 3 877584219 +374 476 2 880394138 +248 198 5 884534695 +321 8 4 879440451 +344 268 3 884814359 +151 602 4 879542688 +194 284 3 879539410 +375 583 2 886622131 +380 197 3 885478886 +381 50 5 892696252 +103 527 5 880416238 +268 153 5 875743503 +232 651 3 888549515 +88 881 5 891038103 +11 268 5 891901652 +249 68 5 879641156 +67 276 4 875379515 +177 276 5 880130758 +234 96 2 892334141 +135 33 3 879857930 +345 845 3 884991220 +332 181 5 887916529 +346 561 3 874950172 +11 739 3 891906411 +239 654 5 889180747 +276 432 5 874792839 +214 294 3 891542520 +330 603 5 876545625 +363 182 1 891494962 +337 631 4 875429292 +244 411 4 880604798 +182 172 5 876435435 +43 393 4 883956417 +64 447 4 889739319 +116 421 3 876453800 +257 288 3 879029516 +130 4 2 875801778 +54 237 4 880935028 +312 603 5 891698454 +198 629 4 884209221 +279 732 3 879647301 +320 431 5 884749327 +1 12 5 878542960 +59 568 5 888205229 +257 221 3 882050202 +329 855 4 891656206 +58 1104 2 884305679 +43 486 4 883955969 +339 42 4 891033452 +344 45 5 884901210 +92 471 4 875640385 +200 313 5 884125806 +347 879 3 881652099 +18 732 3 880131698 +92 596 2 886443161 +358 1529 3 891269584 +87 231 3 879876110 +13 118 4 882397581 +305 154 4 886322670 +212 191 3 879303830 +41 746 3 890687019 +192 301 4 881366490 +344 421 2 884901561 +360 511 5 880355994 +365 124 4 891304039 +10 164 4 877889333 +234 847 4 891227730 +271 582 3 885849113 +109 96 5 880572614 +76 150 5 875028880 +59 1113 4 888205855 +381 212 5 892696982 +5 109 5 875635350 +279 386 3 889985007 +64 898 2 889737106 +41 435 3 890687550 +308 843 3 887739095 +85 661 4 879454005 +339 516 4 891033481 +95 510 4 879196188 +38 404 5 892431586 +347 735 2 881654134 +125 270 4 881357122 +345 295 4 884994592 +82 1101 4 878770169 +11 722 3 891905349 +239 79 3 889179544 +3 318 4 889237482 +56 179 3 892678669 +59 195 5 888204757 +119 930 3 874775945 +295 1135 4 879518696 +347 323 1 881652142 +291 46 4 874868045 +347 216 3 881653933 +337 257 3 875184963 +87 679 3 879876036 +381 281 2 892696616 +215 451 3 891436369 +177 948 2 882141918 +292 226 4 881105281 +314 1054 1 877886944 +256 294 3 882150053 +90 86 5 891383626 +267 622 3 878974077 +315 211 4 879821037 +62 209 4 879373849 +125 485 5 892836335 +345 317 4 884992465 +312 96 5 891699040 +201 68 2 884112487 +253 175 2 891628884 +152 204 4 882474587 +271 224 4 885847876 +313 1066 2 891030334 +99 363 4 885679262 +326 144 5 879876114 +26 343 3 891349238 +270 553 1 876955689 +206 873 3 888179833 +379 202 5 880525259 +70 527 4 884149852 +181 978 1 878963305 +94 156 5 891725332 +86 1175 5 879570973 +68 288 4 876973726 +60 71 3 883327948 +151 393 2 879528692 +22 435 5 878886682 +198 172 4 884207206 +96 474 4 884403095 +305 239 3 886323153 +301 182 5 882075774 +32 866 3 883718031 +279 114 5 879572694 +10 191 5 877888613 +279 207 5 875310394 +321 143 3 879439621 +10 496 5 877889005 +130 134 5 875801750 +26 871 2 891379664 +13 539 1 883670785 +49 594 3 888068245 +56 692 4 892676970 +318 127 5 884470970 +159 881 1 893256139 +130 940 3 875217392 +348 147 5 886523361 +243 582 5 879989217 +15 18 1 879455681 +85 514 5 879453684 +135 379 2 879857956 +286 512 2 877533101 +276 1274 1 874977513 +102 239 3 888804089 +293 871 1 888908066 +43 161 4 883955467 +290 622 3 880474204 +176 100 5 886047918 +226 14 5 883889691 +361 238 4 879440475 +38 383 2 892433801 +329 924 3 891655905 +378 65 3 880046132 +26 315 3 891347400 +5 230 3 875636070 +269 142 1 891451570 +43 275 4 875975546 +297 7 4 874954541 +151 735 5 879528438 +124 79 3 890287395 +23 405 4 874784638 +373 1135 3 877107043 +327 1141 3 887822681 +188 98 5 875071957 +69 591 3 882072803 +345 282 3 884991419 +194 417 2 879525695 +311 187 4 884364764 +204 286 3 892389046 +215 8 2 891436177 +18 970 3 880131591 +85 283 3 879454467 +96 173 3 884402791 +277 302 4 879544201 +327 25 2 887746728 +301 8 4 882076494 +33 895 3 891964187 +118 23 5 875384979 +280 542 3 891702199 +280 1479 3 891702457 +201 333 2 884110927 +7 570 3 891354639 +303 164 4 879466830 +69 748 2 882027304 +73 507 3 888625857 +296 10 2 884196605 +209 321 4 883461108 +94 420 4 891721317 +179 310 4 892151365 +188 38 3 875073828 +286 1113 3 877534107 +354 208 4 891217394 +119 385 5 874781994 +188 77 4 875072328 +184 124 5 889907652 +268 781 3 875743951 +125 28 4 879454385 +60 489 5 883326682 +220 343 3 881198738 +177 196 3 880130881 +129 307 2 883244637 +339 550 2 891035523 +378 289 5 889665232 +279 173 5 875296461 +314 105 4 877887292 +295 68 4 879518960 +145 105 2 875271442 +246 541 3 884923487 +234 117 2 892334976 +58 182 4 884304701 +108 237 3 879879796 +16 164 5 877724438 +139 303 5 879538021 +316 265 3 880854395 +337 230 5 875185319 +116 332 3 876451998 +92 376 3 875907366 +152 241 4 884035579 +168 748 2 884287031 +255 841 1 883216902 +265 181 2 875320180 +236 222 4 890116817 +326 659 4 879875397 +217 258 1 889069536 +312 209 3 891699207 +1 14 5 874965706 +287 591 5 875334293 +294 689 3 889241579 +314 255 5 877886221 +189 1403 4 893265921 +107 300 1 891264432 +267 250 5 878970399 +344 190 5 886382447 +151 65 4 879528729 +343 367 4 876406144 +10 385 4 877886783 +70 383 2 884151700 +109 131 1 880579757 +373 399 3 877105674 +378 1478 3 880333098 +125 64 5 879454139 +378 274 3 880055597 +41 98 4 890687374 +54 147 5 880935959 +213 514 5 878956130 +254 843 2 886474807 +334 245 2 891544367 +224 518 1 888103906 +31 493 5 881548110 +10 519 5 877892050 +125 25 1 879454987 +92 88 3 875656349 +194 26 3 879522240 +13 265 4 882140038 +279 578 4 879572694 +301 216 4 882076782 +2 303 4 888550774 +326 451 2 879877234 +188 205 3 875071710 +338 511 4 879438473 +328 482 3 885046580 +269 506 5 891449572 +125 407 2 892839312 +85 275 3 879454581 +92 181 4 876175052 +15 286 2 879455049 +374 162 2 880396511 +148 169 5 877020297 +54 257 4 880937311 +276 1228 1 874977422 +268 679 4 876514107 +385 1367 5 880879193 +56 181 5 892737154 +271 15 3 885847876 +308 184 4 887738847 +64 7 4 889737542 +330 38 4 876546948 +263 886 2 891297484 +244 180 4 880605920 +1 97 3 875073128 +156 211 4 888185606 +62 155 1 879376633 +271 170 5 885848827 +250 480 5 878090414 +295 419 4 879518107 +314 869 4 877891681 +346 72 3 874951714 +5 388 2 879198898 +347 87 3 881653830 +166 343 4 886397882 +194 366 2 879525761 +90 197 5 891383319 +193 174 4 889125720 +54 127 4 880933834 +201 265 3 884310104 +128 56 3 879966785 +342 974 2 874984789 +12 276 4 879959488 +276 121 4 874786897 +49 151 5 888067727 +377 354 4 891296044 +59 735 5 888205534 +219 303 4 889386799 +276 238 5 877935060 +59 125 3 888203658 +385 209 4 879441853 +373 290 5 877098784 +313 73 5 891015012 +308 205 3 887738191 +182 864 4 885613092 +1 44 5 878543541 +236 420 4 890116671 +321 474 4 879438607 +380 530 5 885478886 +288 887 5 886372155 +232 56 5 888549622 +90 203 5 891384611 +8 172 5 879362123 +308 1006 4 887739608 +303 210 4 879466717 +139 458 4 879538578 +145 1090 2 888398833 +90 962 2 891384721 +43 321 3 875975061 +66 471 5 883601296 +277 286 5 879544145 +293 82 4 888906402 +201 462 1 884141208 +267 449 3 878973358 +267 175 5 878972558 +279 101 3 891209021 +363 336 4 891494011 +340 418 5 884990669 +59 448 4 888205787 +64 216 4 889740718 +355 882 4 879486421 +208 430 4 883108360 +56 96 5 892676429 +84 237 4 883450093 +373 230 4 877107430 +74 100 4 888333428 +291 1244 4 874834345 +128 294 4 879966376 +186 554 1 879023751 +330 213 5 876546752 +293 208 3 888906071 +92 32 3 875653363 +18 57 4 880130930 +119 451 5 891286958 +99 237 5 885678886 +168 258 4 884286863 +43 50 4 875975211 +119 274 4 874775580 +151 837 4 879524642 +59 136 3 888205336 +230 153 5 880485090 +23 504 4 874785624 +131 14 5 883681313 +95 117 4 879193619 +85 8 4 879454952 +379 637 2 880962047 +25 135 3 885852059 +1 53 3 876893206 +314 1221 3 877889927 +181 740 2 878963085 +253 527 5 891628518 +172 478 3 875538027 +249 100 5 879572370 +344 87 4 889814195 +308 183 4 887736695 +330 1016 3 876544480 +130 353 1 888211764 +232 313 3 885939473 +378 196 4 880046306 +49 52 2 888066647 +313 448 3 891014956 +42 265 3 881107989 +313 100 5 891013681 +94 806 4 885873302 +7 567 1 892132019 +97 168 4 884238693 +235 292 3 889654638 +58 240 4 892242478 +325 325 1 891477695 +84 64 5 883450066 +60 186 4 883326566 +292 475 5 881103896 +94 258 5 891724044 +316 19 5 880854539 +94 483 5 885870115 +43 1 5 875975579 +218 654 4 881288234 +102 746 2 892993190 +367 760 4 876690021 +224 387 4 888103906 +7 637 4 891353570 +357 294 4 878951101 +296 277 5 884198772 +292 511 5 881105373 +79 370 2 891272016 +184 693 3 889909142 +382 127 3 875945781 +70 228 5 884064269 +38 218 3 892431871 +197 321 3 891409475 +7 624 4 891353892 +373 151 4 877100129 +378 215 4 880055336 +307 450 2 879538922 +350 530 4 882346161 +271 52 4 885849470 +13 854 1 882396914 +188 419 5 875072876 +178 22 5 882826187 +104 25 3 888465634 +320 278 3 884748886 +345 451 5 884993085 +64 582 4 889739834 +167 1309 1 892738341 +232 181 4 880062330 +89 737 1 879460376 +328 234 4 885046376 +295 737 5 879518607 +233 654 4 877665191 +235 346 4 889654483 +214 221 5 892668153 +374 111 2 880393268 +279 1133 2 892173598 +378 542 4 880333470 +249 198 5 879572349 +21 820 3 874951616 +125 1183 2 892839312 +6 125 3 883599670 +137 183 5 881433689 +194 185 4 879521254 +332 1218 5 887939171 +347 85 5 881654880 +1 163 4 875072442 +286 50 4 875806869 +181 149 1 878962719 +21 844 4 874951292 +299 318 4 877880649 +18 195 3 880131236 +232 194 4 888549988 +279 556 3 880666808 +57 975 3 883697990 +125 940 2 892838827 +194 527 4 879521474 +163 64 4 891220161 +257 237 2 882050168 +22 121 3 878887925 +64 229 4 889739490 +173 260 4 877557345 +265 15 3 875320574 +210 176 4 887735960 +291 174 5 874835062 +281 538 4 881200520 +79 301 3 891271308 +244 191 5 880605766 +248 210 3 884534946 +342 175 5 874984207 +236 111 4 890116939 +297 1296 4 875408935 +159 678 5 880485530 +255 565 1 883216748 +286 309 5 884583549 +318 88 4 884496367 +77 174 5 884733587 +109 252 5 880571629 +244 1045 5 880602132 +264 4 4 886123656 +128 190 4 879967016 +158 163 4 880135044 +83 609 4 880308453 +23 380 5 874787774 +214 313 4 892668197 +110 783 3 886988967 +308 219 3 887738717 +159 286 1 880485233 +113 327 5 875076987 +178 83 4 882826556 +254 214 1 886472608 +30 1007 5 885941156 +109 322 2 880562908 +73 923 3 888793388 +291 567 5 874867786 +60 480 4 883326273 +296 238 4 884199624 +356 689 5 891406372 +362 258 4 885019435 +16 69 5 877724846 +318 501 4 884496984 +227 286 3 879035072 +271 54 3 885849188 +184 553 3 889909746 +256 1207 3 882164999 +210 73 5 891035837 +321 215 3 879439658 +221 623 3 875245618 +311 136 5 884365357 +130 254 2 876251160 +293 1147 4 888907081 +115 466 5 881171558 +207 187 5 877878688 +346 932 2 875264752 +168 123 3 884287822 +327 238 4 887747410 +31 321 4 881547746 +182 763 3 885613092 +224 724 3 888082742 +352 216 4 884290390 +105 272 4 889214284 +90 177 5 891384516 +311 161 4 884365579 +213 735 5 878955474 +60 660 4 883327243 +8 511 5 879362183 +126 289 3 887855174 +247 50 5 893097024 +217 174 3 889069684 +34 299 5 888602923 +109 223 4 880572588 +59 659 3 888204553 +177 403 5 880131201 +311 418 4 884365202 +181 256 1 878962086 +99 369 4 885679382 +3 300 2 889236939 +137 235 5 881433357 +20 1 3 879667963 +287 111 3 875334126 +224 751 3 888081913 +298 651 5 884183063 +287 240 2 875334454 +56 73 4 892677094 +345 866 3 884991476 +110 232 3 886988449 +83 720 4 880308578 +387 1166 3 886483939 +43 47 1 883955415 +363 183 4 891494835 +6 484 5 883601011 +347 288 5 881652118 +224 148 3 888104154 +299 959 2 889503159 +280 499 4 891700496 +256 728 4 882165296 +378 191 5 880046229 +262 22 4 879792452 +90 707 5 891384476 +363 802 2 891498681 +337 1133 4 875236281 +7 82 3 891351471 +28 228 5 881961393 +151 1197 5 879542753 +64 38 3 889740415 +25 151 4 885853335 +262 98 4 879792331 +181 125 3 878962816 +97 97 5 884239525 +385 606 4 879441599 +62 235 4 879373007 +271 192 5 885848373 +20 69 1 879668979 +81 274 3 876534313 +271 328 2 885844746 +261 1025 5 890455190 +363 134 2 891494725 +70 211 3 884149646 +201 406 1 884114505 +92 189 4 875653519 +92 191 4 875653050 +77 210 3 884753028 +95 204 5 879197562 +372 635 5 876869445 +239 497 4 889180578 +89 716 3 879460027 +13 514 5 881515112 +374 125 5 880393424 +332 97 5 888359903 +339 478 5 891032466 +249 121 3 879572705 +152 162 5 882474898 +222 7 5 877563168 +360 14 5 880354149 +374 1028 1 880393425 +85 1153 4 879454751 +145 928 3 879161848 +106 86 3 881451355 +298 993 4 884125629 +151 489 5 879528623 +102 358 3 888957092 +68 50 5 876973969 +374 292 4 880392237 +56 746 4 892676885 +151 231 1 879543366 +9 6 5 886960055 +113 976 5 875936424 +295 215 5 879517247 +347 300 5 881652054 +13 752 1 886952569 +303 582 4 879483462 +194 58 4 879522917 +168 25 5 884287885 +311 188 4 884364437 +330 275 5 876544366 +360 134 5 880356025 +11 744 4 891903005 +158 825 4 880133029 +215 210 4 891436232 +311 402 4 884366187 +142 89 3 888640489 +330 255 4 876544278 +280 420 3 891701816 +387 56 5 886479649 +260 326 5 890618349 +90 611 5 891384789 +263 318 5 891298453 +96 478 2 884403123 +303 476 3 879485352 +58 193 3 884305220 +1 210 4 878542909 +181 368 1 878963440 +59 692 3 888205463 +58 1069 2 893027661 +178 1283 3 885784558 +327 127 4 887747338 +253 282 4 891628094 +201 673 3 884140115 +201 1427 2 884113975 +145 924 2 875270508 +232 96 5 888549563 +77 69 3 884752997 +246 469 3 884922475 +342 191 5 875319991 +18 185 3 880129388 +174 29 2 886514469 +343 951 1 876406144 +318 12 4 884495795 +181 1385 1 878962051 +259 180 5 877925033 +328 483 5 885045844 +219 546 4 889387867 +54 273 4 880934806 +13 857 3 881515348 +296 485 5 884197235 +178 89 4 882826514 +364 690 4 875931309 +112 678 3 884992714 +292 484 5 881105625 +10 156 4 877886846 +265 742 5 875320542 +354 508 3 891216607 +308 822 4 887739472 +373 241 5 877100326 +276 941 3 877934065 +328 148 3 885048638 +6 458 1 883599914 +178 286 3 882823324 +82 310 4 879788290 +303 183 5 879466866 +339 231 2 891035180 +359 751 4 886453467 +200 174 5 884128426 +336 208 2 877757930 +378 151 3 880044385 +213 684 4 878956000 +381 647 4 892697133 +354 268 4 891180399 +36 882 5 882157581 +270 218 5 876956206 +62 118 2 879373007 +198 184 3 884209003 +363 237 2 891496306 +94 222 3 891721258 +151 736 4 879542389 +6 199 4 883601203 +378 793 3 880046437 +332 235 3 887938723 +294 826 1 889243393 +363 270 2 891493723 +150 50 5 878746719 +295 498 5 879519556 +366 448 5 888857990 +36 682 1 882157386 +311 515 4 884365485 +348 975 4 886523813 +118 436 5 875385280 +92 190 4 876174729 +280 449 3 891702324 +291 72 4 875086090 +13 615 4 881515348 +310 257 5 879436576 +5 227 4 875636099 +358 643 3 891270091 +303 67 5 879485401 +345 221 5 884900899 +276 366 3 889174764 +385 221 5 881398053 +174 66 5 886513706 +201 193 3 884140078 +56 51 3 892677186 +72 265 4 880037164 +342 56 5 874984315 +276 840 3 874786897 +361 498 4 879441416 +249 172 3 879572106 +293 158 2 888907603 +85 300 3 879452259 +21 121 1 874951416 +330 485 5 876546839 +328 231 2 885048762 +92 129 4 886443161 +369 948 2 889428228 +299 1039 4 878191779 +56 391 3 892910950 +322 318 4 887314280 +373 420 4 877107630 +316 289 2 880853219 +177 47 3 880131187 +276 751 4 884286678 +48 266 3 879434387 +385 524 5 880924359 +109 472 2 880571715 +69 333 3 882027204 +224 223 3 888082468 +49 101 3 888067164 +328 218 4 885047281 +56 383 2 892910544 +264 153 5 886122031 +10 703 5 877892110 +296 846 2 884196985 +215 238 2 891435526 +92 31 4 875654321 +270 13 4 876954192 +305 557 4 886324521 +59 169 4 888204757 +365 287 4 891304301 +387 218 3 886481687 +75 137 4 884050102 +178 367 4 882828021 +92 11 4 875653363 +208 381 3 883108873 +23 229 3 874787162 +58 275 5 884305220 +15 148 3 879456049 +18 186 4 880131699 +1 184 4 875072956 +87 96 5 879875734 +119 742 5 874775406 +13 720 4 882397974 +94 1044 4 891722555 +295 226 4 879518166 +169 260 1 891269104 +387 180 4 886479737 +339 673 5 891034071 +326 566 4 879877073 +357 7 3 878951537 +115 511 5 881172117 +151 503 3 879524199 +323 332 3 878738865 +110 779 3 886988793 +291 28 4 875086920 +360 195 3 880355715 +178 99 4 882827574 +158 176 4 880134398 +201 596 4 884141438 +22 176 5 878887765 +195 831 2 884504132 +6 183 4 883601311 +286 738 5 877534903 +184 231 3 889910195 +199 988 1 883782655 +263 294 2 891297330 +293 425 4 888905923 +13 887 5 882140867 +43 596 3 883955650 +1 157 4 876892918 +181 10 2 878962955 +366 672 5 888858078 +13 683 1 886952521 +230 607 3 880484755 +266 272 4 892256705 +323 245 2 878739084 +194 215 3 879524291 +168 472 3 884287927 +346 546 4 875263238 +99 676 4 885678886 +21 758 1 874951314 +303 186 4 879467105 +310 14 5 879436268 +268 139 2 875744744 +270 295 5 876954248 +263 134 5 891299697 +388 313 5 886438122 +207 1226 2 882081278 +267 552 3 878973621 +90 100 5 891383241 +11 9 5 891902970 +354 175 5 891218024 +43 49 4 883956387 +92 581 4 875654189 +321 135 4 879439763 +265 125 4 875320516 +80 269 3 883605009 +60 493 5 883325994 +79 6 4 891271901 +72 509 4 880036638 +373 427 4 877099317 +62 232 3 879375977 +327 233 3 887820385 +246 1101 5 884921380 +236 596 4 890116575 +269 139 1 891451492 +178 204 4 882826048 +387 514 3 886480515 +222 780 3 881060370 +37 24 4 880915674 +49 143 3 888067726 +235 135 4 889655571 +385 4 2 879445260 +89 694 5 879460027 +268 209 4 875310311 +13 269 2 889292060 +59 202 4 888205714 +378 272 4 889665041 +225 143 2 879540748 +386 455 3 877654961 +119 209 4 886177544 +272 22 5 879454753 +286 354 4 889651029 +190 269 4 891033606 +374 122 2 882158328 +178 465 3 882827506 +38 94 5 892432030 +374 581 4 880938044 +178 244 1 884837126 +29 1018 4 882821989 +359 831 3 886453402 +92 98 5 875652934 +244 168 5 880606118 +76 64 5 875498777 +344 1007 4 889814518 +387 199 4 886483858 +193 33 3 889125912 +292 628 3 881105123 +280 576 3 891702276 +238 1190 3 883576603 +290 164 4 880474010 +380 132 4 885479186 +83 768 4 887665549 +248 515 5 884535085 +178 183 4 882826347 +178 342 4 892239863 +373 89 5 877098821 +122 191 5 879270128 +174 862 1 886515172 +297 273 4 874954763 +378 1180 3 880334269 +299 1020 4 878192237 +184 511 4 889908740 +301 31 3 882076463 +178 1169 4 882827134 +276 1044 3 877934374 +321 276 3 879438987 +195 1089 4 883295540 +1 201 3 878542960 +239 1192 1 889180949 +149 308 2 883512658 +234 1149 3 892318060 +331 653 3 877196173 +344 244 3 889814600 +134 339 2 891732507 +128 322 2 879966447 +30 255 4 875059984 +178 566 4 882826915 +83 932 4 881971414 +200 685 4 876042493 +310 274 3 879436534 +389 955 4 880087599 +65 661 4 879216605 +330 208 5 876546409 +363 163 3 891495143 +208 211 5 883108398 +198 748 2 884204577 +179 272 5 892151202 +273 690 4 891293008 +85 492 4 879454905 +121 126 3 891388936 +14 813 2 880929564 +264 672 3 886122447 +340 265 5 884990470 +280 690 2 891699964 +314 1220 5 877892293 +67 827 3 875379322 +194 471 3 879540807 +18 463 4 880131143 +308 45 4 887736843 +89 93 2 879441307 +267 575 3 878974052 +222 125 5 877563802 +268 978 2 876513927 +210 25 4 887730407 +302 307 4 879436739 +207 540 3 880161839 +15 864 4 879456231 +125 116 4 892838322 +62 225 3 879373287 +260 682 4 890618537 +299 100 3 877877600 +351 313 5 883356562 +356 272 5 891405651 +297 143 5 875239870 +288 300 5 886372155 +249 174 4 879572314 +385 367 4 879444640 +373 625 4 877104086 +387 414 4 886482969 +381 191 5 892696757 +309 324 3 877370419 +45 15 4 881012184 +56 56 5 892676376 +55 254 2 878176206 +318 105 1 884495164 +95 554 3 879196748 +41 69 4 890687145 +379 520 5 880524908 +184 766 3 889907738 +201 544 2 884140307 +243 387 4 879988752 +293 401 1 888907453 +6 499 4 883602283 +321 124 3 879438857 +172 183 5 875538864 +76 1158 4 875028190 +197 690 3 891409255 +16 418 5 877724727 +299 216 5 889502688 +99 1067 4 885679437 +340 186 4 884991082 +64 1139 1 889740260 +181 834 3 878962720 +246 1 4 884920918 +80 194 3 887401763 +128 238 4 879968125 +201 684 3 884114233 +371 24 4 877487500 +95 403 1 879196457 +174 1053 5 886514358 +85 449 4 882813248 +387 692 1 886482928 +234 210 3 892333616 +21 860 2 874951727 +72 504 4 880037461 +13 124 5 884538663 +3 345 3 889237004 +344 288 4 889813994 +254 967 3 886472139 +326 399 4 879877004 +246 588 4 884920998 +272 498 4 879454726 +235 193 5 889655204 +237 83 4 879376641 +181 1017 1 878962496 +281 877 4 881200643 +99 100 5 885678813 +141 225 3 884585523 +296 172 5 884197193 +89 121 5 879441657 +259 313 5 883370924 +6 197 5 883601203 +128 151 3 879968921 +347 588 3 881654321 +7 177 4 891352904 +334 170 3 891546181 +234 928 2 892336287 +102 443 3 888803148 +7 471 4 891352864 +141 405 3 884585105 +31 514 5 881548030 +271 258 3 885847357 +254 610 2 886472291 +236 237 4 890117001 +52 287 5 882922357 +214 50 3 891543114 +315 504 3 879821193 +61 1127 4 891206274 +181 1057 2 878963381 +312 919 3 891699263 +87 39 3 879875995 +63 1008 3 875748004 +85 108 2 880838201 +256 181 4 882164444 +279 571 4 878082781 +26 117 3 891351590 +290 432 5 880474590 +236 1013 2 890117465 +387 520 4 886480446 +119 109 5 874775580 +346 809 3 874951029 +339 523 5 891033044 +222 529 2 881059537 +230 8 5 880484501 +329 338 2 891655545 +184 647 5 889909024 +292 855 5 881105373 +60 207 3 883327342 +246 895 5 884924976 +231 252 4 888605273 +144 762 3 888104940 +254 755 3 886473489 +5 397 2 875635907 +303 473 4 879485111 +151 203 3 879524471 +168 117 5 884287318 +323 151 4 878739568 +90 995 4 891382708 +354 657 4 891218289 +372 200 5 876869481 +339 67 3 891035147 +284 328 4 885329322 +349 847 4 879466507 +177 508 4 880130825 +289 24 4 876790292 +262 195 2 879791755 +318 419 5 884495890 +1 150 5 876892196 +380 177 3 885479082 +23 549 3 874788290 +65 173 3 879217851 +56 435 3 892676429 +210 403 4 887736322 +147 340 4 885593965 +339 28 4 891032542 +12 753 5 879960679 +2 308 3 888979945 +264 283 5 886122952 +345 315 5 884900653 +193 111 1 889126375 +301 7 4 882074236 +373 68 5 877106741 +94 38 2 891722482 +357 833 4 878952341 +26 237 3 891351590 +316 197 4 880854227 +293 164 4 888906598 +217 226 1 889069878 +145 413 3 877343280 +371 177 4 877487135 +286 477 3 876521773 +74 150 3 888333458 +178 195 4 882826944 +321 527 3 879439763 +337 742 5 875184353 +90 190 5 891383687 +56 189 4 892683248 +325 403 2 891479102 +336 845 1 877758035 +13 802 2 882398254 +64 202 4 889738993 +181 1087 1 878962496 +296 281 2 884196985 +387 58 4 886484065 +293 720 1 888907674 +183 1217 3 891466405 +204 1194 4 892513906 +329 300 4 891655431 +124 226 4 890287645 +43 516 5 875981452 +181 846 3 878962586 +308 755 3 887740033 +204 482 4 892513906 +196 111 4 881251793 +200 743 3 891825607 +94 942 4 891721749 +383 319 2 891192377 +49 1078 1 888067164 +268 357 4 875309882 +389 176 4 880165047 +343 118 2 876403121 +233 205 4 877663548 +328 693 2 885046174 +17 245 2 885166209 +178 8 4 882826556 +367 17 5 876689991 +7 450 4 892132425 +118 853 5 875385228 +28 222 5 881961393 +224 704 3 888103812 +290 755 4 880475218 +312 131 5 891699702 +389 109 3 879915745 +82 529 4 878770028 +301 686 4 882078008 +158 149 3 880132383 +270 747 5 876955662 +262 237 3 879961980 +190 222 4 891033676 +271 510 4 885849140 +207 328 2 884386312 +87 229 4 879876037 +293 845 2 888904838 +94 1 4 885870323 +11 185 4 891905783 +373 596 3 877106741 +334 1010 5 891545108 +385 79 3 879441853 +297 257 3 874954763 +330 97 5 876547220 +378 162 4 880046332 +222 368 1 881061326 +326 210 3 879874964 +49 406 2 888067428 +234 87 3 892079336 +233 568 5 880612346 +215 215 3 891435680 +109 393 4 880579237 +79 325 5 891271792 +271 866 4 885848132 +97 466 3 884239449 +169 133 4 891359171 +344 148 2 884900248 +253 742 4 891628535 +15 244 2 879456447 +330 58 5 876546132 +267 177 5 878972756 +342 257 2 875318267 +114 496 4 881259994 +87 318 4 879877627 +25 189 5 885852488 +113 322 3 875076044 +5 444 2 875720762 +94 588 4 885873006 +232 1128 2 888549907 +95 111 4 879194012 +65 526 4 879216734 +158 62 5 880134759 +201 325 5 884111064 +90 1197 4 891384476 +24 178 5 875323676 +311 965 3 884365686 +280 559 3 891701583 +73 100 4 888626120 +110 384 2 886989524 +178 257 5 882823954 +201 527 3 884111360 +210 484 4 887736070 +74 137 3 888333458 +271 1101 4 885849025 +380 1449 4 885478845 +360 303 3 880353526 +323 282 3 878739543 +381 495 4 892696186 +215 222 4 891436469 +328 661 5 885047373 +145 592 3 888398867 +293 76 3 888906824 +262 625 3 879792751 +213 678 4 878870275 +267 24 5 878972682 +159 748 3 880485488 +130 240 4 875801750 +318 160 3 884497031 +363 426 2 891496927 +102 797 2 888802722 +223 225 3 891550193 +339 154 4 891032885 +332 978 4 888098459 +158 229 3 880134532 +18 215 3 880130930 +134 259 2 891732393 +13 890 1 883670672 +236 148 4 890117028 +246 719 4 884924026 +11 652 4 891905003 +107 340 5 891264356 +312 482 5 891698613 +224 846 4 888104116 +106 285 4 883876206 +313 578 3 891028241 +94 537 4 891722006 +129 269 4 883244011 +314 406 3 877887388 +336 239 3 877758001 +192 252 1 881368277 +328 183 5 885045805 +224 287 3 888104154 +125 73 5 892838288 +178 500 4 882827288 +71 923 5 885016882 +130 1274 2 878537853 +186 257 4 891719774 +293 445 4 888906315 +312 269 5 891698130 +268 998 1 875743929 +168 257 5 884287642 +203 326 4 880433398 +347 328 4 881652077 +155 286 4 879370860 +43 946 4 883955247 +374 454 4 880394997 +164 926 2 889402091 +291 179 5 874868255 +320 1011 3 884748978 +313 405 3 891028197 +82 414 4 878769748 +181 819 3 878962550 +201 1039 3 884111599 +130 541 3 876252307 +237 479 5 879376487 +9 479 4 886959343 +295 1115 5 879518568 +279 432 3 875296292 +256 866 4 882151198 +305 178 4 886322966 +378 875 3 880044108 +269 985 3 891446443 +352 4 3 884290328 +50 286 2 877052400 +311 845 4 884366824 +60 98 4 883326463 +84 7 4 883452155 +308 514 4 887738619 +95 655 4 879198109 +165 69 3 879525799 +174 288 3 886432770 +343 483 5 876404343 +296 151 2 884196964 +276 141 4 874792870 +301 427 4 882075775 +181 928 3 878963241 +293 183 4 888906119 +5 402 1 875720947 +378 4 3 880045612 +279 1231 4 875313583 +244 953 4 880607335 +334 316 4 891544407 +279 1 3 875295812 +244 164 3 880607154 +294 248 5 877819421 +114 182 3 881259994 +178 271 4 882823395 +211 286 4 879437184 +387 942 4 886483906 +278 22 5 891295360 +110 806 3 886987952 +36 885 5 882157581 +135 443 4 879857868 +385 262 4 884153000 +91 181 5 891439243 +357 291 4 878952137 +254 504 3 886472115 +123 255 1 879873905 +327 294 3 887743644 +320 716 1 884750992 +308 582 3 887736843 +264 381 4 886123596 +342 574 1 875320124 +361 286 5 879440286 +268 7 4 876513953 +77 405 3 884733422 +387 32 5 886479737 +1 183 5 875072262 +49 231 3 888069579 +380 587 4 885479274 +248 186 5 884534695 +144 454 3 888105993 +221 128 3 875246209 +22 222 4 878887925 +201 77 2 884140788 +335 245 4 891567053 +390 990 4 879693608 +136 19 4 882693529 +276 682 3 877933862 +138 150 3 879023131 +80 423 3 887401643 +308 433 5 887738301 +218 12 5 881288233 +382 546 2 875946234 +269 70 1 891447280 +326 452 3 879877470 +288 177 3 886629528 +128 48 4 879967767 +85 45 3 879455197 +233 58 3 880612403 +14 172 5 890881521 +386 121 3 877655145 +13 153 4 882139901 +379 732 5 880525995 +345 903 3 884900609 +13 343 1 883670672 +322 194 5 887313850 +243 127 4 879987045 +276 577 2 877935336 +314 399 3 877889359 +109 866 4 880571872 +248 153 3 884534716 +200 473 4 876042493 +109 91 4 880582384 +49 116 4 888066109 +23 1005 3 874787647 +198 241 3 884209264 +151 322 2 881771160 +301 772 3 882078250 +297 102 1 875240267 +144 480 4 888106322 +152 191 5 880149963 +186 44 5 879023529 +119 147 4 886176486 +196 580 2 881252056 +109 423 4 880577514 +270 551 4 876956264 +344 5 3 884901533 +246 161 3 884921679 +133 322 2 890588852 +327 476 2 887819538 +270 288 5 876953827 +243 1368 2 879987909 +8 685 4 879362423 +244 258 5 880601905 +354 900 4 891180527 +267 771 3 878973900 +43 531 4 883955160 +141 471 4 884585039 +176 13 4 886047994 +269 856 5 891448220 +99 322 3 885678499 +350 153 3 882347466 +135 603 4 879857765 +121 98 5 891388210 +297 173 4 875240237 +85 655 3 879454350 +56 761 3 892679333 +374 427 3 880396048 +214 39 4 891544845 +21 565 3 874951898 +340 526 5 884991396 +303 376 2 879543617 +277 405 3 879544027 +279 209 5 875308987 +128 65 4 879968512 +193 362 3 889122992 +325 95 2 891478895 +325 164 1 891479017 +389 1119 3 880088659 +30 286 5 885941156 +280 568 2 891701047 +346 134 5 874947644 +59 611 3 888204309 +64 217 2 889737568 +9 340 4 886958715 +224 893 3 888082350 +239 124 5 889178652 +363 212 1 891497278 +229 349 4 891633028 +96 483 5 884403057 +72 356 4 880036911 +276 669 1 874792767 +318 575 2 884497924 +210 238 3 891036021 +178 455 3 882825357 +222 1438 4 881059993 +338 408 5 879438570 +13 301 1 882140718 +232 204 4 888549515 +41 100 4 890687242 +201 578 2 884310148 +331 868 4 877196567 +321 205 5 879440109 +336 1047 4 877757063 +385 435 3 879443102 +145 5 3 875272196 +269 195 3 891449099 +167 136 4 892738418 +13 597 3 882397650 +42 939 4 881108484 +347 1283 1 881652730 +373 114 5 877098402 +303 391 1 879485747 +130 281 4 876250850 +65 328 4 879216131 +311 132 4 884365548 +6 195 4 883602283 +387 200 5 886481686 +271 402 4 885849791 +190 291 3 891042883 +15 274 4 879456168 +286 229 1 889652291 +347 472 5 881652813 +322 216 3 887313850 +275 300 4 875153898 +347 280 4 881652657 +331 64 4 877196504 +296 14 4 884196665 +130 282 5 875801750 +94 946 3 891723217 +377 748 4 891296945 +6 488 5 883601426 +11 350 4 891901991 +338 484 5 879438143 +7 481 5 891352341 +179 750 1 892151270 +314 282 5 877886862 +382 531 4 875946830 +26 597 2 891379753 +234 136 4 892317967 +290 193 4 880473802 +280 95 5 891700570 +378 141 3 880055565 +291 496 5 875088191 +181 266 1 878961709 +279 265 5 875655063 +210 50 5 887731014 +249 161 3 879572760 +293 479 4 888905923 +189 618 2 893265160 +95 712 2 888956400 +303 125 2 879467638 +43 252 4 875975363 +303 219 5 879484480 +378 386 3 880332643 +314 274 3 877886788 +151 83 5 879524611 +88 301 4 891037618 +325 185 5 891478140 +234 401 2 892336322 +293 464 3 888906927 +334 311 4 891628833 +268 244 4 875742316 +108 21 3 879880141 +374 200 5 880395735 +174 248 5 886433981 +181 682 4 878961586 +262 949 4 879792773 +8 144 5 879362286 +327 583 2 887820341 +5 100 5 875635349 +70 298 5 884064134 +181 1068 1 878962052 +7 385 5 891351585 +279 820 4 884984955 +350 340 4 882346257 +302 879 2 879436960 +393 1219 4 889729536 +374 735 5 880396359 +23 427 5 874789279 +387 447 4 886481687 +234 32 3 892078936 +286 1182 2 877535288 +181 929 1 878963122 +13 154 5 882141335 +87 239 4 879876673 +57 844 2 883697134 +269 436 3 891450675 +251 612 5 886271855 +119 174 4 874781303 +349 744 2 879465785 +128 568 4 879968544 +22 550 5 878888184 +23 739 2 874787861 +16 654 5 877720298 +361 709 5 879440974 +389 249 3 879915991 +189 225 4 893264703 +135 185 4 879857797 +151 411 4 879543228 +25 520 3 885852150 +389 613 5 880088038 +336 999 2 877757516 +236 546 4 890117223 +264 216 5 886123358 +7 667 5 892135347 +350 657 5 882346663 +160 484 5 876862243 +380 186 3 885479355 +374 930 2 880394179 +303 545 2 879544400 +7 210 4 891352904 +357 235 4 878951691 +38 1 5 892430636 +311 946 4 884366270 +387 559 3 886481737 +279 810 2 889984640 +257 100 5 882049950 +82 472 3 878768882 +295 162 4 879517157 +222 144 5 878182416 +60 218 4 883327538 +312 485 4 891699345 +157 137 5 886889876 +303 24 3 879468047 +327 153 4 887818596 +7 498 5 891351814 +10 99 5 877889130 +299 17 1 889503374 +271 294 2 885844698 +70 1065 4 884149603 +332 291 4 887938439 +322 92 4 887314073 +328 628 3 885047627 +44 148 4 878346946 +188 326 3 875071293 +347 173 2 881654503 +307 183 3 877121921 +368 396 2 889783617 +373 843 3 877106878 +312 483 5 891699156 +276 449 2 874792520 +20 742 4 879668166 +145 684 5 875273174 +310 740 4 879436292 +159 103 1 880557604 +92 568 3 875654590 +380 241 2 885479997 +311 1093 5 884963180 +13 601 4 882140104 +60 420 4 883327113 +11 100 4 891902718 +373 94 2 877111313 +5 143 3 875636815 +314 724 2 877888117 +389 160 4 880087897 +10 194 4 877886661 +269 98 4 891448951 +313 657 4 891013830 +167 133 5 892738453 +203 271 3 880433445 +50 9 4 877052297 +38 257 1 892429512 +373 357 4 877098568 +286 952 2 875807043 +95 660 5 880571456 +380 313 4 885477859 +257 531 5 879547608 +379 616 2 890464337 +1 248 4 874965954 +54 597 2 880934806 +267 22 4 878971816 +131 19 4 883681418 +327 203 3 887818540 +180 156 5 877127747 +60 163 4 883327566 +367 774 4 876690049 +213 97 5 878956299 +373 520 4 877098678 +152 699 5 882476911 +211 876 2 879461395 +299 462 5 878192463 +361 402 3 879441179 +200 231 4 884130679 +193 2 3 890860198 +341 948 3 890758169 +174 28 5 886434547 +378 73 3 880056667 +313 97 4 891016193 +38 145 1 892433062 +271 318 5 885848707 +280 62 3 891701747 +271 44 4 885849357 +372 183 5 876869667 +109 356 4 880578711 +392 178 5 891038945 +118 184 5 875385057 +1 208 5 878542960 +342 240 3 875318629 +320 974 3 884749097 +10 588 4 877886846 +7 669 1 892132020 +250 92 5 878091818 +178 508 3 884837419 +376 237 3 879459054 +195 67 2 874825826 +189 275 5 893264194 +268 91 3 875310311 +122 175 5 879270084 +1 128 4 875072573 +188 79 5 875072393 +276 418 4 874792870 +262 929 3 879791031 +44 237 3 878346748 +301 519 4 882076682 +181 990 1 878961814 +28 294 3 881954915 +276 340 5 880150440 +186 117 5 879023607 +13 808 2 882397833 +311 761 3 884366067 +364 1048 5 875931585 +297 1217 1 875240132 +342 95 4 875320297 +357 258 4 878951101 +178 596 3 882824194 +269 531 5 891447141 +87 7 4 879875735 +128 1 4 879966919 +366 447 5 888857990 +393 1034 2 889731413 +187 747 4 879465882 +7 232 3 891353766 +13 705 5 884538766 +64 151 3 879366214 +239 516 5 889180487 +7 658 3 891352419 +236 153 2 890118075 +59 974 3 888203343 +379 554 4 880525678 +360 237 4 880354484 +286 1140 3 877533586 +293 155 2 888907356 +102 663 3 892993190 +77 523 5 884752582 +380 172 3 885478334 +307 402 2 879283362 +194 161 4 879523576 +189 732 2 893277248 +293 642 3 888906804 +343 303 4 876402390 +6 466 4 883602422 +96 1 5 884403574 +206 889 2 888180081 +224 277 3 888103812 +295 164 5 879518395 +145 273 5 875270322 +3 299 3 889237199 +271 517 3 885848943 +328 726 4 885049112 +122 187 4 879270424 +368 551 4 889783617 +389 204 4 879991017 +292 288 3 877560833 +296 750 5 884196150 +296 484 4 884197308 +151 172 5 879524325 +230 739 5 880485611 +378 197 3 880056423 +58 654 5 884304865 +249 137 4 879572725 +374 9 1 880393056 +125 236 1 879454891 +268 762 2 875743216 +320 1090 3 884751376 +276 436 4 874792711 +92 214 4 875654732 +158 50 4 880133306 +62 697 4 879375932 +198 318 4 884207560 +295 450 4 879519438 +22 948 1 878887553 +334 961 4 891628832 +51 64 4 883498936 +374 1011 4 880393783 +352 96 4 884290328 +222 783 2 878184899 +113 319 2 875075887 +115 642 5 881171693 +75 952 5 884050393 +314 597 4 877887065 +5 370 1 875720814 +120 924 4 889490290 +7 183 4 891351624 +296 298 1 884196640 +373 278 5 877111423 +178 117 4 882824467 +51 679 3 883498937 +287 461 5 875336652 +222 280 3 878184545 +302 270 2 879436785 +297 705 2 875238726 +348 294 4 886522658 +194 744 3 879547130 +54 748 5 880928957 +343 228 5 876404757 +180 403 3 877355713 +374 948 2 880392592 +95 385 4 879196408 +300 261 3 875650018 +283 709 5 879298206 +291 156 5 874834768 +181 937 3 878961781 +339 11 4 891032379 +94 68 4 891722432 +109 392 3 880579237 +201 99 3 884141438 +324 1094 5 880575715 +286 1194 4 877533640 +42 418 5 881108147 +286 596 3 875806869 +105 307 2 889214381 +42 367 2 881109149 +59 131 4 888205410 +312 489 5 891699321 +327 710 4 887747410 +137 472 4 881433336 +323 467 5 878740017 +332 449 4 888360438 +99 331 3 885678247 +279 90 3 875314287 +279 228 4 889326161 +346 415 2 875265527 +113 508 4 875325377 +197 89 5 891409798 +199 294 1 883782636 +164 331 5 889401193 +287 301 3 875333873 +250 71 5 878090294 +94 576 2 891723593 +152 845 3 886535827 +66 597 3 883601456 +337 371 4 875236191 +99 312 2 885678576 +75 597 3 884050940 +393 471 4 887744549 +198 193 4 884207833 +370 42 3 879435462 +83 407 1 891182532 +344 684 3 884901249 +222 357 4 881059014 +60 82 3 883327493 +303 294 4 879466116 +52 531 5 882922833 +88 315 4 891037276 +193 258 3 889123038 +178 98 5 882826944 +200 208 5 884128904 +387 1007 5 886480623 +151 732 4 879542775 +276 450 1 874792634 +183 88 3 891466760 +387 224 5 886480703 +9 527 3 886959344 +199 111 3 883783042 +327 1056 2 887747971 +60 605 3 883326893 +325 614 4 891479038 +7 101 5 891350966 +363 82 3 891497047 +305 482 2 886323006 +305 188 2 886323757 +2 307 3 888550066 +263 143 5 891298592 +125 136 5 879454309 +342 58 5 875319912 +290 498 4 880473777 +303 15 3 879467607 +299 936 4 889417423 +236 183 2 890118206 +334 1524 4 891547467 +316 64 4 880853953 +226 9 5 883889811 +195 779 2 874825826 +249 98 5 879572256 +286 1411 2 877535425 +308 1047 3 887742130 +222 247 1 878714998 +234 12 1 892333830 +269 401 3 891451013 +135 504 4 879857843 +293 474 5 888905685 +305 511 4 886322560 +301 215 5 882077222 +299 67 2 889503740 +234 170 5 892333798 +200 373 4 884130754 +60 61 4 883326652 +224 392 4 888104154 +7 504 5 891352384 +208 428 4 883108430 +160 32 5 876859413 +102 565 2 888803395 +294 742 4 877819634 +5 176 3 875635962 +42 1044 4 881109271 +378 155 4 880333918 +322 521 5 887314244 +339 514 3 891037119 +56 231 3 892910931 +117 928 3 881009471 +303 232 4 879467191 +295 602 5 879517247 +321 855 3 879439733 +295 98 5 879517193 +70 588 5 884065528 +7 136 5 891351813 +363 555 1 891498920 +113 242 2 875075887 +360 735 5 880356059 +303 276 4 879467895 +102 47 2 888803636 +314 155 5 877891575 +64 161 3 889739779 +276 649 4 886483691 +389 28 4 880165411 +146 347 3 891457493 +206 1430 1 888179980 +333 79 3 891045496 +295 157 5 879966498 +118 655 5 875385136 +276 4 4 874791623 +160 109 2 876857844 +101 1057 2 877136789 +250 969 5 878092002 +292 1010 4 881104581 +228 313 5 889387172 +12 684 5 879959105 +195 325 2 880268330 +393 15 3 887744266 +182 423 5 876436480 +346 128 2 874950208 +56 738 3 892683978 +339 479 5 891032701 +194 451 2 879527145 +374 182 5 880395698 +263 125 4 891299573 +16 160 4 877722001 +76 197 5 875028563 +334 1133 4 891549192 +52 15 5 882922204 +117 1016 5 881008815 +59 473 3 888203610 +91 618 3 891438875 +234 435 3 892079040 +128 58 3 879968008 +279 50 3 890451347 +141 546 4 884585470 +375 356 4 886622131 +100 1236 3 891375630 +222 8 1 878182307 +344 195 5 884900771 +334 200 4 891547171 +314 1503 3 877890891 +380 518 3 885478821 +200 584 4 884129542 +311 491 4 884365168 +219 132 5 889403668 +363 2 4 891495809 +342 189 5 875319967 +210 735 4 887737338 +92 159 4 875810543 +328 291 4 885047865 +178 25 3 888514710 +104 412 3 888465900 +374 880 5 882156984 +283 659 5 879298239 +102 831 2 888802508 +59 609 2 888205855 +117 742 4 880126022 +97 432 4 884238997 +186 327 3 891717806 +334 608 4 891547668 +130 284 2 874953728 +13 100 5 882140166 +144 1286 4 888105846 +102 98 4 888802939 +6 193 3 883601529 +181 1361 1 878963122 +163 98 4 891220196 +207 832 3 877878424 +293 71 4 888906905 +116 1089 2 876453376 +270 716 4 876955563 +250 184 1 878091683 +167 169 1 892738419 +121 137 5 891388501 +393 1285 3 889555176 +13 71 4 882398654 +274 255 2 878945579 +145 302 4 879161553 +393 318 3 887745973 +303 396 4 879484846 +303 122 4 879485066 +59 45 5 888204465 +295 812 4 879518739 +164 300 5 889401221 +43 966 4 883955498 +378 508 4 880044278 +91 327 4 891438351 +135 564 1 879857956 +213 357 5 878955848 +182 121 3 885613117 +229 750 2 891631948 +253 298 3 891628074 +64 64 4 889737454 +43 210 5 883955467 +44 1058 4 878347392 +356 748 4 891406500 +295 1133 4 879519528 +162 544 4 877636167 +30 688 3 885941492 +245 411 3 888513425 +125 498 5 892836395 +303 722 2 879485372 +254 429 4 887347350 +174 1033 1 886515591 +99 245 3 885678500 +111 272 3 891679692 +256 2 5 882164480 +21 595 3 874951617 +332 218 5 888360396 +130 1208 4 875802211 +345 1247 2 884993996 +184 582 4 889909409 +343 333 3 876402468 +305 204 2 886323998 +113 324 2 875076180 +283 238 5 879298295 +89 762 3 879441491 +80 699 3 887401533 +294 346 3 889241377 +214 856 4 891543952 +380 427 4 885478193 +379 8 5 880525194 +286 55 4 877531574 +347 806 3 881653830 +223 321 1 891548920 +320 1041 3 884751084 +382 276 3 875946029 +279 1230 3 891209189 +235 523 5 889655044 +72 423 5 880036550 +301 470 4 882078199 +190 405 4 891626000 +262 762 2 879790974 +254 35 2 886475755 +75 1150 4 884050705 +3 324 2 889237247 +343 727 4 876406462 +267 433 5 878972314 +141 288 3 884584386 +151 49 3 879543055 +328 22 5 885045805 +223 25 1 891549382 +10 695 3 877892050 +83 122 1 886534501 +347 239 5 881654591 +249 39 4 879572284 +305 100 3 886323648 +293 480 5 888905685 +227 116 4 879035347 +279 290 4 875296924 +181 1129 1 878962675 +393 126 4 887743647 +70 398 2 884067339 +342 657 5 874984207 +250 324 2 878089033 +198 636 3 884209353 +340 181 4 884991431 +259 108 4 874724882 +292 118 3 881104701 +387 31 3 886483330 +85 318 4 879453684 +343 191 5 876404689 +235 237 4 889655435 +296 210 3 884197308 +313 650 4 891013829 +216 7 5 880232719 +139 127 5 879538578 +297 625 3 875240266 +305 174 3 886322635 +43 792 1 883954876 +312 584 5 891699263 +288 276 4 886892127 +110 77 4 886988202 +130 94 5 875802058 +48 423 4 879434752 +262 143 3 879793970 +200 196 4 884126833 +16 99 5 877720733 +75 100 5 884049875 +59 823 5 888203749 +269 444 3 891451971 +95 151 4 879193353 +380 1444 1 885480795 +181 1134 2 878963167 +19 310 4 885412063 +85 212 2 879454859 +332 728 4 893027298 +333 180 1 891045191 +1 242 5 889751633 +182 100 3 885613067 +235 174 4 889654971 +253 117 5 891628535 +285 313 5 890595313 +25 238 4 885852757 +33 292 4 891964244 +70 1035 3 884066399 +328 1015 3 885047737 +57 1071 3 883698324 +130 508 4 874953557 +262 778 4 879793536 +90 692 4 891384476 +293 91 2 888907499 +150 93 4 878746889 +263 205 5 891298792 +164 118 5 889401852 +128 686 4 879967174 +276 420 4 874792945 +62 475 4 879371980 +146 313 4 891457591 +201 20 2 884140275 +184 405 2 889908050 +267 642 4 878972524 +276 404 4 874792870 +222 432 3 881059142 +22 393 4 878886989 +234 945 3 892334189 +301 54 3 882076587 +7 435 5 891350845 +303 568 4 879468414 +65 239 5 879217689 +328 1109 3 885047100 +292 654 5 881105481 +394 67 5 881059383 +291 48 5 874868027 +393 402 3 889730187 +201 856 3 884140709 +365 894 1 891303760 +279 66 2 882146492 +280 92 3 891700366 +389 124 4 879916053 +363 228 3 891496481 +313 203 5 891013859 +96 435 3 884403500 +385 340 4 879438647 +21 687 2 874951005 +305 385 1 886324792 +308 28 3 887737036 +43 405 4 883956122 +336 742 3 877759928 +210 44 3 887737710 +64 238 4 889739025 +225 172 5 879540748 +292 173 5 881103631 +57 411 4 883697679 +221 272 5 885081264 +169 127 4 891359354 +385 474 5 881530739 +196 25 4 881251955 +311 715 2 884365746 +244 1107 2 880608699 +203 1 3 880434384 +307 746 4 875681078 +207 520 4 879665302 +321 514 4 879439706 +339 175 5 891032793 +85 211 5 879454005 +151 200 3 879525002 +131 286 5 883681514 +204 1022 5 892392078 +385 195 1 879453773 +92 930 2 886443582 +16 479 5 877720436 +378 1044 3 880332643 +10 447 4 877891747 +5 441 1 875720830 +151 414 5 879542474 +222 527 4 878183110 +60 88 4 883327684 +10 418 4 877886783 +360 197 5 880355888 +316 190 5 880853774 +378 123 3 880044532 +60 143 3 883327441 +394 42 4 880887152 +393 1206 3 889730494 +378 179 2 880055336 +94 282 3 891722758 +18 660 5 880130930 +130 833 4 876251037 +387 423 3 886484065 +92 238 5 875654159 +224 282 4 888082705 +172 582 4 875538864 +253 806 4 891628181 +178 746 3 882827019 +244 294 4 880601905 +370 116 3 879434707 +7 636 4 891351384 +177 1067 4 880131201 +343 163 5 876408139 +293 33 2 888907433 +308 705 5 887737837 +323 180 5 878739857 +317 328 4 891446438 +223 286 1 891548562 +279 433 4 880869018 +391 527 3 877399541 +178 454 4 882827247 +122 737 4 879270874 +296 22 4 884197068 +328 554 3 885049790 +177 878 1 882142141 +191 86 5 891562417 +280 157 3 891700733 +264 168 5 886122031 +99 69 4 885679833 +314 218 4 877889204 +352 7 3 884290549 +320 452 3 884751589 +294 355 4 889241426 +128 213 3 879967300 +381 378 4 892696019 +7 431 4 891351547 +149 896 4 883512689 +393 633 2 887746091 +125 198 3 879454385 +77 1028 1 884733400 +387 1019 4 886480288 +128 425 5 879967197 +276 727 3 889174919 +336 451 2 877756242 +323 289 2 878738910 +75 125 3 884050164 +324 754 5 880575045 +49 290 2 888069062 +258 751 5 885700946 +108 515 5 879879941 +94 921 5 891725332 +208 524 4 883108745 +210 243 2 887734998 +276 232 3 874792094 +201 443 3 884112580 +189 294 5 893264220 +332 249 3 891214777 +109 291 3 880571801 +274 478 5 878946577 +95 64 5 879197685 +392 333 4 891037531 +183 720 4 892323453 +293 619 1 888905229 +381 771 2 892696557 +385 661 4 879443045 +159 1025 2 893256139 +392 302 5 891037385 +130 1049 3 876251341 +385 99 2 879443186 +1 148 2 875240799 +372 672 5 876869512 +59 825 4 888203658 +222 239 5 878184392 +367 441 3 876690049 +42 1040 3 881106270 +141 151 2 884585039 +49 1009 3 888066133 +291 383 2 875086699 +115 763 2 881170725 +374 223 5 880394520 +173 242 5 877556626 +280 102 5 891701328 +60 511 4 883326301 +354 497 4 891217160 +320 188 4 884749360 +325 510 4 891478180 +145 7 5 875270429 +363 591 4 891499437 +5 69 1 875721555 +269 175 5 891455816 +268 182 4 875309882 +94 366 3 891722845 +116 286 3 876451911 +51 496 4 883498655 +263 95 5 891299324 +178 864 2 888514648 +363 658 3 891496543 +95 862 1 884266100 +90 367 4 891385250 +330 549 5 876547355 +7 483 4 891351851 +210 65 4 887731305 +120 405 4 889490580 +222 722 3 878184833 +130 66 5 875802173 +291 588 4 875086920 +276 672 3 874792692 +314 5 4 877889724 +43 63 3 883956353 +70 128 4 884067339 +216 4 5 880234469 +341 1527 4 890757717 +387 1097 3 886480657 +181 886 1 878961623 +385 1411 3 879447873 +393 539 3 891364757 +343 724 4 876404499 +385 224 2 879439728 +85 464 5 882996119 +13 363 3 882398076 +230 1192 4 880485352 +315 285 5 879799486 +269 7 3 891449055 +234 179 3 892079373 +149 310 2 883512689 +292 111 4 881104606 +294 748 3 877818861 +186 288 1 879022858 +326 204 3 879874964 +119 24 4 886177076 +163 234 3 891220137 +299 509 4 877880566 +117 307 5 880124339 +50 125 2 877052502 +280 448 3 891701765 +342 655 4 875319383 +94 731 3 891723295 +144 1016 3 888104322 +7 461 4 891352303 +308 70 4 887737244 +313 843 3 891030334 +257 116 3 879029742 +157 1 5 874813703 +1 112 1 878542441 +262 147 3 879790603 +42 736 5 881108187 +228 650 3 889388662 +277 15 4 879544145 +104 282 3 888465166 +18 237 3 880129991 +232 191 4 888549376 +144 96 5 888105691 +295 997 3 879518821 +279 652 4 890451408 +363 114 5 891494688 +165 181 5 879525738 +67 472 4 875379706 +275 95 3 875154535 +109 94 4 880579787 +60 673 4 883327711 +37 161 5 880915902 +378 159 3 880056887 +295 7 5 879518018 +181 262 2 878961749 +187 86 4 879465478 +145 39 4 875271838 +181 976 1 878963342 +127 449 4 884364950 +330 570 4 876547674 +174 845 5 886433771 +49 713 3 888066214 +279 105 4 875297381 +378 447 4 880056888 +307 81 5 879283091 +383 505 4 891193042 +70 48 4 884064574 +374 424 1 883628021 +334 1241 2 891545513 +380 154 3 885478624 +320 554 4 884751288 +363 366 2 891497583 +246 236 4 884921986 +263 144 4 891298792 +92 161 2 875654125 +303 1012 4 879544712 +275 662 3 880315170 +13 391 3 882398255 +43 432 3 875981421 +344 125 3 884899741 +219 114 5 889403091 +291 1188 4 874835165 +246 932 1 884923864 +21 118 1 874951382 +389 111 3 879916053 +58 283 1 884304592 +276 302 5 877584085 +190 748 3 891033388 +301 151 2 882074776 +313 831 3 891028426 +373 179 3 877104310 +328 570 3 885046498 +7 181 3 891351287 +104 248 2 888465604 +210 188 3 887737171 +130 669 4 888962754 +203 619 3 880434438 +94 390 5 891725333 +87 1187 2 879875893 +172 430 3 875537964 +373 228 4 877106328 +94 100 5 885872942 +222 670 3 878183657 +7 7 5 891352220 +188 485 3 875072087 +118 474 5 875384571 +105 286 4 889214306 +3 348 4 889237455 +368 436 3 889783562 +114 654 3 881259741 +235 213 4 889655044 +377 288 5 891295937 +296 504 5 884197394 +385 129 3 881467873 +3 351 3 889237315 +257 462 4 879547695 +398 514 4 875658794 +109 248 2 880564415 +119 250 2 874775731 +329 303 4 891655350 +346 31 4 874950383 +288 50 4 886374520 +56 815 4 892683960 +18 955 4 880130713 +194 175 3 879521595 +204 297 5 892514010 +11 291 4 891902815 +102 298 3 875886827 +271 58 3 885849325 +54 258 4 880928745 +187 175 2 879465241 +308 633 4 887739257 +290 118 4 880731896 +222 768 2 878185014 +293 1057 2 888905229 +43 17 3 883956417 +174 268 5 886432749 +293 181 3 888904734 +60 21 3 883327923 +94 82 4 891721777 +308 12 5 887737243 +30 28 4 885941321 +328 916 2 893195710 +389 429 4 879991352 +160 118 3 876768828 +307 101 3 888095824 +63 1011 1 875747731 +95 728 3 882804159 +293 69 3 888906576 +92 215 4 875656419 +41 423 2 890687175 +293 504 4 888905736 +379 452 3 880524614 +168 288 1 884287927 +201 847 2 884111546 +294 79 4 889854323 +186 225 4 879024148 +254 199 4 886472089 +378 148 4 880044944 +301 582 2 882077811 +312 496 5 891698664 +127 288 5 884363851 +11 216 3 891904949 +258 315 3 885701004 +311 592 5 884364845 +92 249 3 886443192 +161 215 2 891170866 +181 832 1 878963038 +18 188 3 880129388 +43 98 5 875981220 +312 967 3 891699321 +328 550 3 885047336 +280 50 3 891701027 +54 260 4 880930146 +325 305 2 891477638 +268 370 2 875745579 +389 845 4 879916053 +141 864 3 884585128 +301 66 4 882077330 +181 243 1 878961814 +387 773 4 886481800 +393 932 3 887744578 +38 211 1 892431907 +292 79 5 881103434 +234 91 5 892335920 +318 137 4 884494652 +80 208 5 887401604 +119 544 2 886177206 +308 5 4 887739608 +360 588 3 880355803 +151 79 4 879524642 +387 198 4 886480352 +271 425 2 885849275 +360 302 4 880353526 +378 546 2 880318158 +145 696 3 875271442 +357 125 5 878951784 +393 940 2 889731109 +85 89 4 879454075 +390 989 5 879693677 +109 1014 4 880571979 +1 193 4 876892654 +128 118 5 879968896 +145 895 3 883840687 +380 856 3 885479706 +298 69 4 884125058 +387 1115 3 886479575 +389 607 3 879991297 +206 750 3 888179981 +269 93 3 891446580 +15 9 4 879455635 +264 382 4 886123596 +135 183 4 879857723 +90 79 4 891383912 +342 108 4 874984574 +313 154 2 891014753 +340 205 4 884991516 +201 36 1 884140927 +303 739 5 879468547 +7 484 5 891351201 +354 1007 4 891216549 +85 702 2 879828054 +385 153 4 879442028 +145 713 4 875270616 +327 196 4 887745871 +246 145 1 884923922 +25 50 5 885852150 +368 219 2 889783453 +87 87 4 879877931 +7 550 4 891352489 +222 196 5 878183110 +276 1240 4 874977579 +195 46 3 891762441 +29 678 3 882821582 +313 156 3 891014838 +339 298 2 891032856 +393 128 3 887746145 +13 906 3 891749765 +279 120 1 888427451 +151 183 3 879524642 +286 168 4 877531760 +360 28 4 880355678 +275 496 3 880314031 +332 871 3 887938351 +312 443 4 891698951 +76 325 2 878101114 +246 547 4 884922512 +397 7 5 885349913 +147 751 2 885593965 +322 751 2 887313611 +8 568 4 879362233 +274 243 2 878944437 +339 188 4 891033735 +387 201 5 886484631 +42 183 4 881107821 +206 678 1 888179833 +276 403 4 888873675 +175 183 4 877107942 +201 187 3 884111312 +293 139 3 888908088 +23 747 3 874786903 +18 47 3 880131262 +307 153 5 875681145 +380 62 1 885479777 +194 286 1 879520306 +59 717 2 888203959 +311 193 5 884365075 +95 404 5 888954513 +288 69 5 886373426 +50 123 4 877052958 +117 588 3 881011697 +315 127 5 879799423 +259 357 5 874725485 +167 733 2 892738453 +79 7 5 891272016 +99 265 3 885679833 +174 950 3 886434204 +256 552 3 882164927 +18 428 3 880131325 +303 735 4 879483567 +66 280 4 883602044 +346 742 4 874948513 +54 827 3 880937813 +44 252 2 878346748 +184 69 3 889908694 +165 651 5 879525961 +211 357 2 879460172 +336 1057 4 877757373 +123 735 2 879872868 +274 208 4 878946473 +385 423 2 879445662 +13 230 3 882397503 +326 241 3 879875778 +351 984 5 879481675 +325 86 3 891478578 +250 195 2 878091736 +188 56 4 875071658 +64 879 3 879365313 +145 348 4 888397542 +126 302 4 887853469 +190 363 2 891626023 +261 359 5 890454351 +286 29 2 877533586 +284 887 4 885328906 +346 294 3 886273405 +83 63 4 880327970 +18 692 3 880130930 +303 742 4 879484899 +306 13 4 876504442 +373 747 4 877104048 +362 312 5 885019504 +360 283 4 880354215 +394 1210 3 881060330 +174 1028 4 886434087 +280 5 4 891701066 +60 523 4 883326837 +279 998 5 875313883 +323 772 3 878739904 +382 25 2 875945880 +399 813 3 882512003 +102 208 4 888803537 +286 993 2 875807043 +181 251 1 878962052 +59 597 2 888203610 +323 286 3 878738826 +390 124 4 879694232 +293 583 3 888908001 +201 1153 2 884140709 +92 961 4 875811128 +109 1039 2 880579418 +121 428 5 891388333 +295 82 4 879518126 +73 180 4 888626577 +101 121 4 877137015 +291 66 4 875086185 +293 209 3 888905519 +347 819 1 881653155 +72 203 3 880037462 +382 171 3 875946639 +180 28 3 877355568 +398 227 2 875908666 +331 705 2 877196173 +339 632 4 891033794 +398 181 4 875652318 +246 29 1 884922740 +173 1265 3 877557239 +303 184 5 879467436 +199 117 3 883782879 +374 931 3 880936233 +339 631 5 891033256 +244 204 4 880605812 +45 100 5 881010742 +315 603 5 879821267 +233 82 4 877663612 +264 183 5 886122577 +194 514 3 879521167 +303 237 5 879468307 +316 357 4 880854049 +91 230 4 891439560 +363 417 1 891498223 +117 109 4 880126336 +289 1016 5 876789843 +279 63 3 875313350 +13 665 2 882396984 +60 132 4 883325944 +276 595 2 874787195 +13 345 4 884538366 +361 183 4 879441285 +333 88 5 891045551 +197 62 2 891410039 +175 669 1 877107790 +339 1301 3 891032189 +336 282 3 877760032 +21 875 4 874951005 +309 938 4 877370383 +275 117 3 876197615 +243 286 4 879986908 +144 193 4 888105287 +115 32 5 881171348 +250 223 4 878090294 +186 988 4 891719775 +347 829 4 881653155 +378 549 3 880056701 +308 25 4 887740649 +265 477 3 875320371 +331 58 3 877196567 +130 742 5 876251053 +299 333 4 892249868 +54 741 5 880931687 +21 441 3 874951761 +130 39 4 875801496 +315 100 5 879821003 +243 268 4 879986951 +393 681 3 887742798 +276 1089 2 882659211 +336 655 3 877757752 +238 220 3 883576560 +296 923 5 884197193 +84 148 4 883452274 +18 968 3 880130155 +178 877 2 888513069 +158 286 4 880134261 +293 485 3 888905948 +387 208 3 886480484 +24 294 3 875246037 +48 511 5 879434954 +181 1374 1 878962391 +87 25 4 879876811 +382 474 5 875947199 +141 281 4 884584865 +178 187 4 882826049 +388 56 3 886441015 +90 14 5 891383987 +87 705 4 879877740 +172 1134 2 875536721 +13 261 1 883670785 +207 568 4 875509395 +270 1148 5 876955042 +252 275 5 891456464 +371 237 5 877487052 +318 158 5 884498709 +149 301 3 883512813 +148 509 5 877016605 +224 1044 3 888104353 +326 200 2 879877349 +87 64 5 879875649 +396 841 4 884646648 +389 715 3 880614012 +48 306 4 879434211 +201 636 2 884310149 +387 183 4 886480206 +325 193 4 891478627 +90 903 4 891383319 +156 124 3 888185677 +274 476 4 878945645 +326 563 3 879877470 +22 110 1 878887157 +152 67 5 882477689 +285 902 4 890595584 +18 193 5 880131358 +189 15 2 893264335 +144 181 4 888104032 +280 181 3 891701248 +14 603 4 890881484 +327 659 4 887819021 +262 447 3 879794206 +222 949 3 878183173 +198 410 1 884205385 +291 375 1 874868791 +125 63 3 892838558 +339 739 3 891036058 +249 245 2 879571999 +364 321 2 875931478 +312 659 5 891699321 +326 233 4 879876941 +262 781 3 879793667 +7 154 5 891353124 +277 121 2 879544058 +86 881 2 879570218 +13 816 1 882396983 +292 83 5 881104360 +231 846 4 888605274 +299 998 2 889503774 +360 79 4 880355485 +88 261 5 891038103 +182 471 4 885613216 +186 31 4 879023529 +343 684 3 876406878 +181 1388 1 878962168 +308 313 3 887736408 +231 151 1 879966209 +347 65 2 881654679 +64 9 4 889738085 +381 129 4 892697628 +276 307 4 878015917 +181 1284 1 878962773 +214 257 3 891543176 +311 239 3 884365284 +109 559 3 880579709 +83 452 3 880309214 +372 148 5 876869915 +369 271 5 889428642 +270 714 4 876954965 +94 685 4 891722382 +398 504 3 875722071 +311 1 4 884963202 +85 234 4 882995015 +334 1411 1 891549434 +94 170 5 891725362 +192 340 4 881366535 +56 433 4 892676970 +313 515 5 891013803 +72 127 5 880037702 +401 486 4 891033184 +255 259 3 883215759 +94 650 5 885870612 +396 291 4 884646289 +166 300 5 886397723 +398 69 5 875659191 +24 286 5 875323773 +335 260 3 891567159 +234 1050 3 892333616 +321 213 4 879440109 +385 767 1 879447361 +372 1083 3 876869878 +75 1001 1 884050531 +275 222 4 876198296 +72 177 4 880037204 +271 356 4 885849300 +188 717 4 875074329 +228 87 1 889388662 +217 840 1 889070087 +125 1000 3 892838977 +94 458 4 891722306 +326 141 3 879876235 +62 508 4 879372277 +373 204 5 877098222 +368 288 3 889783453 +313 67 1 891029117 +181 25 5 878962675 +357 118 5 878951691 +124 96 4 890399864 +276 203 4 877934910 +222 746 5 878183137 +36 269 3 882157258 +338 945 4 879438762 +323 300 2 878738827 +283 210 5 879298206 +8 56 5 879362183 +305 530 5 886323237 +140 258 3 879013617 +11 663 4 891905032 +255 833 4 883216902 +63 678 2 875747047 +194 44 4 879524007 +389 656 5 879991175 +91 322 4 891438397 +275 102 3 875154718 +352 173 1 884290361 +371 179 3 877487364 +330 72 5 876547087 +198 692 2 884208377 +365 7 2 891304213 +1 264 2 875071713 +64 1141 5 889739834 +87 63 4 879876848 +64 17 3 889739733 +179 303 1 892151270 +130 496 5 875216593 +269 276 5 891446193 +174 21 1 886515209 +303 118 2 879485623 +237 423 4 879376487 +249 108 3 879640452 +385 1353 4 879440098 +357 326 5 878951101 +299 482 4 877881508 +279 214 3 875306910 +217 281 2 889069842 +181 748 1 878961368 +319 302 4 876280242 +181 1009 1 878963276 +313 527 4 891013525 +248 11 5 884534992 +109 820 3 880572382 +269 525 4 891449055 +382 290 4 875946830 +378 1028 2 880044726 +210 185 4 887736232 +128 723 3 879967966 +363 472 1 891498469 +393 1048 3 887745120 +76 960 3 875028143 +102 510 4 888801316 +304 893 3 884967520 +360 194 3 880355803 +201 240 3 884114069 +254 951 4 886474619 +339 240 4 891036641 +234 73 2 892334368 +82 225 3 878768790 +383 464 4 891192986 +279 319 4 890780735 +89 845 2 879441335 +14 9 4 879119260 +286 1230 1 877535157 +181 260 1 878961623 +209 301 3 883460492 +330 47 5 876546409 +264 762 3 886122771 +267 578 3 878973153 +92 96 4 875656025 +303 574 1 879544184 +87 566 5 879875775 +393 88 3 889730066 +194 1058 2 879552923 +167 126 3 892738141 +90 1125 4 891384611 +69 150 5 882072920 +356 328 4 891406241 +92 393 3 875660494 +146 688 1 891457749 +363 1485 4 891496102 +269 1071 2 891449801 +119 199 5 874781994 +18 169 5 880130252 +171 1022 3 891034889 +325 340 3 891477473 +76 288 2 878101114 +114 520 3 881260473 +387 566 3 886483194 +291 1215 1 874834184 +396 148 4 884646436 +148 116 5 877398648 +11 597 2 891904037 +373 58 4 877100161 +369 988 3 889428228 +292 56 5 881105373 +128 280 1 879968579 +197 750 5 891409199 +216 15 3 881428365 +144 591 3 888104122 +374 824 4 880394331 +294 411 3 889242589 +389 1530 2 880088753 +301 161 3 882076558 +141 476 3 884585498 +299 222 2 877878148 +170 881 3 886190419 +85 327 3 884820110 +41 518 3 890687412 +393 683 4 887742110 +351 538 4 879481495 +308 177 5 887738570 +144 471 4 888104213 +332 928 5 887938706 +101 109 2 877136360 +60 492 5 883326525 +244 1039 4 880607570 +251 12 4 886271700 +125 692 3 892836523 +11 733 4 891904413 +7 166 3 891351585 +328 1041 3 885048762 +234 265 3 892078837 +181 1049 1 878963122 +44 5 4 878347598 +94 684 4 891721615 +363 62 2 891497639 +256 846 4 882151167 +205 269 3 888284347 +385 304 3 879438949 +328 696 3 885049376 +73 89 5 888625685 +354 180 3 891217274 +393 252 3 887744766 +393 763 5 887745086 +94 1089 2 891724829 +159 220 5 880557782 +339 65 4 891033452 +130 729 4 876252042 +274 742 4 878945322 +301 154 4 882076425 +293 151 4 888904927 +128 494 4 879967016 +102 597 3 888801673 +339 25 4 891035116 +90 471 4 891385752 +105 333 3 889214268 +185 28 5 883524428 +339 181 4 891033898 +222 288 4 883815252 +198 175 3 884207239 +63 300 4 875748326 +154 640 5 879138713 +256 370 3 882153321 +14 475 3 876964936 +90 1109 3 891385652 +21 834 1 874951293 +393 890 1 887742991 +38 118 5 892431151 +378 1037 2 880334476 +25 8 4 885852150 +178 739 4 882827737 +6 483 5 883601500 +276 168 5 874791623 +393 651 4 889728238 +1 219 1 878542327 +62 318 5 879373659 +224 1163 2 888104154 +85 340 3 893109920 +292 423 5 881105625 +304 310 3 884966697 +327 410 2 887819462 +373 506 4 877099211 +399 219 3 882345454 +261 988 3 890455190 +18 170 5 880130515 +158 403 4 880134650 +244 196 5 880605416 +72 121 3 880036048 +303 792 5 879484644 +37 22 5 880915810 +398 481 3 875659441 +327 200 4 887747338 +25 969 3 885852059 +222 9 5 877563227 +28 678 2 882826550 +387 144 3 886479649 +69 100 5 882072892 +342 1160 3 874984751 +141 1013 1 884585470 +268 474 5 875309718 +308 693 3 887738104 +293 92 4 888906071 +82 657 4 878769261 +82 458 1 884714145 +142 288 3 888639837 +264 844 1 886124097 +117 98 4 881012430 +233 276 5 877665324 +159 471 4 880485861 +227 1010 3 879035637 +244 1074 4 880607904 +234 77 3 892333890 +25 169 5 885852301 +296 56 5 884197287 +107 269 5 891264267 +13 501 5 882398724 +95 683 4 879193353 +216 108 4 880232917 +279 1032 3 880666757 +15 307 1 879455233 +380 1168 3 885479833 +181 825 1 878963304 +115 443 4 881171622 +363 569 2 891498259 +354 285 5 891216526 +95 366 4 880572628 +1 232 3 878543196 +145 406 3 875270692 +347 82 5 881654269 +312 275 5 891698553 +373 729 4 877099263 +245 473 2 888513344 +61 331 2 891206126 +397 1019 3 885349715 +7 185 5 892135346 +116 347 2 886309481 +122 470 3 879270901 +361 97 4 879440740 +379 402 3 880524943 +244 181 4 880604302 +318 162 5 884496123 +290 474 3 880474204 +200 560 4 884130655 +45 237 4 881008636 +225 418 5 879540650 +60 613 4 883326497 +55 685 1 878176134 +271 141 4 885849114 +387 564 1 886481800 +259 200 4 874725081 +119 1202 4 874775680 +279 1052 4 890451408 +312 8 5 891699263 +92 663 4 875653914 +158 803 3 880134848 +92 102 2 875813376 +327 517 2 887818991 +128 14 5 879967341 +67 7 5 875379794 +16 603 5 877719206 +87 97 5 879877825 +389 550 3 880088923 +393 62 4 889728895 +58 64 5 884305295 +308 160 4 887738717 +255 406 1 883216358 +121 249 1 891388708 +200 391 4 884130484 +13 219 1 882396955 +214 307 3 891542735 +399 591 3 882340599 +271 744 4 885847693 +266 124 4 892258004 +354 702 3 891307114 +336 276 4 877760310 +316 283 5 880853599 +87 521 3 879877772 +15 458 5 879456288 +246 470 4 884922964 +92 278 3 876175640 +379 443 4 880524640 +301 710 3 882078008 +229 748 3 891632402 +43 951 3 883955969 +351 1105 4 883356833 +203 24 4 880434359 +145 327 5 875269822 +268 735 3 876518557 +6 526 3 883602596 +294 105 3 889242660 +282 338 3 879949468 +379 192 4 880524972 +14 202 3 890881521 +94 624 2 891723459 +24 258 4 875245985 +391 188 3 877399658 +251 172 5 886271641 +267 475 5 878970368 +46 151 4 883616218 +292 285 4 881103896 +276 209 4 874791667 +222 142 2 878183984 +27 121 4 891543191 +402 257 4 876266701 +301 756 4 882074932 +167 1310 3 892738384 +7 562 5 891354053 +370 657 3 879434636 +320 159 4 884751190 +206 294 2 888179694 +326 67 2 879877284 +373 210 5 877098177 +201 57 4 884111958 +387 844 5 886480484 +59 490 4 888205614 +249 479 5 879641035 +314 1085 1 877892017 +280 1313 5 891700184 +354 1101 3 891218003 +12 28 5 879958969 +378 222 3 882712421 +60 180 4 883326028 +267 943 4 878972903 +354 61 5 891218091 +72 480 5 880037768 +256 77 3 882164955 +378 233 2 880333540 +7 191 5 891351201 +244 886 5 880601905 +303 300 1 879466166 +57 151 3 883697585 +334 216 3 891546348 +293 443 4 888906781 +388 816 4 886441248 +42 409 3 881106270 +18 393 3 880130930 +216 93 4 880232637 +250 948 3 878089182 +181 878 1 878961709 +210 257 5 887730789 +269 475 5 891457067 +399 284 2 882512342 +167 73 2 892738452 +336 49 4 877758001 +378 465 3 881582268 +263 215 4 891298273 +332 204 4 888098088 +271 411 1 885848062 +366 185 5 888857750 +268 169 5 875309829 +223 22 5 891550649 +156 180 5 888185777 +239 8 5 889179290 +7 683 4 891350703 +63 952 3 875747896 +345 443 5 884993464 +2 257 4 888551062 +164 619 4 889402160 +72 100 5 880035680 +301 273 1 882074800 +267 204 4 878971629 +276 315 4 892436298 +314 763 5 877886706 +56 195 5 892676429 +177 336 2 880130500 +311 183 5 884365519 +267 479 4 878971405 +117 143 1 881012472 +46 181 4 883616254 +43 705 4 883954970 +64 367 4 889739678 +399 1314 3 882349198 +354 276 3 891216760 +164 181 5 889401906 +296 274 4 884196741 +44 717 3 878346470 +301 849 4 882078883 +95 90 2 880572166 +1 236 4 875071898 +197 127 5 891409839 +232 234 3 888549595 +336 399 3 877757063 +305 190 3 886322966 +62 213 4 879375323 +389 507 5 879991196 +387 501 4 886483620 +81 412 1 876534408 +207 8 3 878103820 +338 663 5 879438627 +222 665 1 878184719 +299 916 3 892249868 +24 318 5 875323474 +7 399 4 891354357 +92 712 3 875656392 +29 98 4 882821942 +303 1222 3 879468513 +380 229 3 885481179 +264 745 5 886123656 +335 269 4 891566808 +244 475 4 880603582 +348 276 3 886523456 +217 363 1 889070011 +7 139 3 891354729 +343 306 4 876402516 +384 272 5 891273509 +378 396 4 880332879 +137 249 4 881433387 +92 46 4 875653867 +116 322 2 876452186 +101 24 4 877136391 +321 736 4 879439537 +77 52 5 884753203 +262 318 5 879793022 +312 615 4 891698893 +393 275 4 887744053 +268 246 5 875742316 +363 1099 2 891495402 +200 2 4 884130046 +62 845 3 879372383 +234 300 3 891033627 +393 1095 2 887745174 +77 144 3 884752853 +277 628 4 879543697 +240 289 4 885775745 +48 170 4 879434886 +197 578 3 891410039 +338 133 4 879438143 +113 277 3 875076416 +347 12 3 881653584 +315 180 4 879799526 +393 142 4 889730460 +379 1032 2 880568109 +136 42 3 882848866 +33 333 4 891964259 +82 479 4 878769703 +187 275 5 879465937 +111 896 2 891680243 +387 1012 4 886481073 +327 514 4 887747338 +373 487 4 877098177 +295 241 5 879518800 +379 401 3 880962187 +94 410 4 891721494 +378 1220 3 880055779 +343 458 5 876402894 +346 76 4 874950135 +10 160 4 877888944 +375 684 4 886622066 +158 244 4 880132772 +235 190 4 889656007 +21 859 2 874951859 +389 38 2 880089076 +345 333 3 884900543 +26 292 3 891347400 +213 200 5 878956100 +5 417 3 875636830 +58 950 1 892242020 +399 8 3 882510165 +395 151 3 883765297 +293 977 2 888908088 +188 732 3 875073828 +222 268 4 877562748 +3 330 2 889237297 +25 13 4 885852381 +308 309 1 887736408 +214 22 3 891544200 +42 79 5 881108040 +262 432 3 879794267 +255 405 4 883216902 +254 573 2 886475476 +94 96 3 885872942 +42 428 3 881108040 +299 1119 4 889502727 +109 68 3 880582469 +301 423 1 882076239 +57 1011 3 883697761 +263 177 4 891297988 +228 204 3 889388662 +342 204 4 874984261 +290 450 2 880473557 +311 485 1 884364538 +47 302 5 879439040 +378 284 3 880044835 +301 164 3 882076966 +72 581 4 880036996 +213 475 4 878870648 +192 1405 5 881367456 +339 23 5 891033481 +144 32 4 888105287 +42 234 4 881108093 +255 413 2 883216358 +224 662 5 888103671 +332 717 3 887938760 +315 732 3 879821158 +236 66 2 890118507 +301 1091 3 882079353 +374 159 4 880937920 +125 383 2 892839412 +21 665 3 874951858 +262 491 3 879793188 +328 332 3 885044782 +379 90 2 880740215 +7 227 3 892132317 +339 126 4 891032121 +197 286 1 891409255 +334 514 4 891545926 +379 164 4 880524582 +109 196 4 880578358 +320 742 4 884748800 +348 473 3 886523560 +152 51 4 882476486 +328 228 3 885046976 +6 459 2 883599228 +18 509 4 880129940 +374 761 3 880938370 +312 170 5 891698553 +308 161 3 887740788 +2 316 5 888979693 +4 294 5 892004409 +60 495 3 883327639 +368 96 3 889783678 +212 286 4 879303468 +48 427 4 879434653 +90 614 4 891384020 +271 311 3 885844547 +92 720 3 875813022 +269 183 3 891448823 +254 186 3 886472023 +92 109 3 886443351 +29 259 4 882821044 +279 384 4 875312946 +365 13 3 891303950 +308 199 4 887737760 +95 674 2 880572104 +25 197 3 885852059 +269 171 5 891447169 +269 527 5 891447841 +254 98 4 886472201 +253 95 4 891628416 +320 1081 4 884748997 +13 716 4 882141393 +102 167 2 892993927 +110 28 4 886987979 +399 1228 3 882345500 +64 71 3 879365670 +91 64 4 891439243 +122 423 4 879270805 +163 97 4 891220019 +301 88 4 882077142 +184 22 3 889908985 +1 252 2 875240677 +361 111 3 879440974 +293 64 5 888905519 +280 1015 3 891701631 +378 451 4 880055597 +393 1469 3 889729749 +331 305 5 877196819 +268 325 3 876513675 +206 260 3 888179772 +301 180 3 882076782 +63 412 3 875748109 +49 657 5 888068032 +18 629 3 880130515 +151 660 4 879524199 +109 183 5 880572528 +77 778 2 884753203 +320 90 4 884751034 +96 525 2 884402860 +160 123 4 876768949 +21 717 1 874951483 +354 70 3 891218208 +313 423 4 891013939 +197 258 4 891409255 +271 739 4 885849706 +227 150 3 879035347 +126 243 5 887855342 +250 477 3 878089716 +101 756 3 877136424 +15 476 4 879456404 +334 7 5 891544788 +6 238 5 883601713 +174 1032 3 886515591 +378 972 4 880056491 +256 9 4 882150644 +387 381 4 886482969 +7 589 5 891352451 +254 103 2 886476123 +63 979 3 875748068 +37 597 5 880915607 +95 142 4 880572249 +393 12 5 887745883 +63 106 2 875748139 +201 156 4 884111830 +146 302 4 891457538 +92 201 3 875654159 +13 317 5 882140552 +370 705 3 879434666 +314 64 5 877888346 +85 425 4 879454905 +160 926 2 876769148 +381 652 5 892696252 +199 276 4 883782879 +279 80 4 875313750 +144 1284 3 888104446 +381 724 3 892696616 +180 694 5 877128388 +299 115 3 877880474 +373 28 3 877103935 +40 243 2 889041694 +6 81 4 883602283 +7 501 5 891353411 +399 459 4 882340807 +95 185 3 879197886 +393 953 4 889555334 +378 1134 4 880044278 +156 346 3 888185561 +295 53 1 879519528 +328 736 3 885047737 +21 985 2 874951349 +366 860 2 888858078 +149 689 2 883512950 +213 628 5 878870648 +353 286 5 891402757 +373 386 3 877107403 +144 216 4 888105691 +215 70 3 891436232 +61 243 2 892331237 +181 1387 1 878962119 +363 959 1 891497523 +331 811 4 877196384 +62 176 5 879373768 +378 302 5 889664996 +95 699 2 882804187 +396 751 3 884645648 +234 76 2 892335564 +87 515 4 879876194 +128 136 5 879967080 +385 673 2 879445779 +327 382 3 887819316 +308 747 3 887740033 +279 1239 1 884982882 +320 869 4 884751068 +403 111 4 879785974 +405 56 4 885544911 +307 511 5 879282952 +354 155 2 891307206 +101 284 4 877136564 +141 117 4 884584929 +389 785 3 880613841 +194 588 4 879524393 +280 1459 4 891701747 +379 391 4 880525698 +303 1226 4 879544713 +198 654 5 884207733 +201 563 1 884114813 +70 542 2 884065248 +342 1048 1 875318536 +389 496 4 879991218 +147 690 4 885593965 +239 558 5 889178986 +342 4 4 874984395 +380 709 4 885478603 +331 933 3 877196235 +184 91 3 889909988 +62 815 3 879375391 +88 690 4 891037708 +362 336 2 885019468 +251 249 5 886272118 +325 492 4 891478557 +315 269 5 879799301 +303 1021 4 879484643 +343 919 5 876403348 +22 648 4 878886647 +310 251 5 879436035 +213 281 4 878871038 +327 239 3 887819316 +222 869 3 878182337 +269 5 2 891450780 +214 238 4 891544472 +303 55 4 879467328 +13 617 3 881515112 +385 1536 5 879441339 +168 1047 2 884288080 +20 597 3 879668190 +297 269 4 875774037 +393 456 3 887745501 +46 1024 5 883614766 +367 665 5 876689738 +328 546 3 885048861 +308 498 5 887736584 +116 260 2 887605412 +144 93 1 888104032 +363 347 3 891493723 +7 207 4 891352526 +221 118 1 875244940 +264 210 5 886123415 +267 88 4 878972873 +329 272 5 891655191 +85 1137 4 879452609 +326 443 5 879877349 +222 202 4 878181906 +367 436 4 876689962 +224 620 3 888104085 +378 304 4 880043929 +334 227 1 891547083 +345 1048 2 884991436 +381 694 4 892696929 +332 342 4 892484976 +399 73 3 882343731 +396 260 3 884645754 +256 226 5 882164644 +216 433 3 880233957 +357 819 4 878951653 +117 772 4 881012728 +345 93 4 884991191 +18 953 3 880131901 +141 328 4 886447679 +158 731 2 880135118 +328 1263 3 885048730 +344 12 5 884901024 +169 604 4 891359317 +389 792 4 880088115 +77 89 5 884733839 +10 176 4 877889130 +303 844 3 879468179 +313 228 3 891016986 +224 655 4 888103646 +218 789 3 881288574 +244 117 2 880604698 +13 546 3 882397741 +365 275 4 891304019 +214 12 5 892668153 +299 752 3 887136060 +230 186 4 880484937 +100 342 3 891375454 +354 382 5 891217897 +326 445 4 879877413 +315 48 4 879799457 +155 324 2 879370963 +259 98 4 874809091 +244 217 5 880606698 +119 105 2 874775849 +175 483 5 877107339 +373 117 4 877098599 +274 277 4 878945818 +312 180 4 891698174 +401 117 3 891032563 +394 568 5 880888167 +95 622 4 880571678 +345 1016 3 884994619 +405 592 1 885548670 +291 715 5 874868327 +144 191 4 888105081 +234 499 4 892334141 +352 181 4 884289693 +330 80 2 876547737 +393 1047 3 887745293 +16 693 4 877721905 +368 567 3 889783617 +311 43 4 884366227 +48 195 5 879434954 +244 723 3 880607154 +44 474 4 878347532 +145 685 4 875271229 +314 288 5 877885887 +268 382 3 875309282 +308 1211 3 887739669 +305 134 5 886322560 +387 578 2 886483252 +344 433 4 884901517 +321 497 5 879439860 +97 429 4 884238860 +290 685 3 880732365 +64 663 3 889737505 +299 285 5 877877847 +39 900 3 891400159 +130 322 4 874953525 +397 108 4 885350045 +346 685 3 874950383 +15 471 4 879456084 +70 89 4 884150202 +64 156 4 889737506 +102 50 4 888801315 +342 584 4 874984430 +269 642 3 891449464 +234 168 3 892079434 +131 302 5 883681723 +344 9 5 884814480 +152 1014 2 880149224 +393 596 4 887743611 +14 275 4 876964725 +112 300 4 884992508 +280 538 5 891700185 +57 476 3 883697990 +49 508 3 888068841 +363 144 4 891494865 +400 328 3 885676490 +405 1582 1 885548670 +339 380 3 891035584 +49 737 1 888066828 +327 281 3 887820341 +303 43 3 879485507 +83 663 5 887665423 +303 139 3 879543209 +70 169 4 884149688 +81 1028 1 876534277 +392 258 2 891037531 +383 474 5 891193072 +201 589 3 884113082 +53 250 2 879442920 +382 183 3 875946672 +313 501 5 891013742 +308 79 4 887737593 +48 433 3 879434791 +6 208 4 883602422 +249 634 5 879572314 +405 171 1 885549544 +253 448 2 891628883 +168 323 3 884286990 +13 436 2 882396869 +308 589 4 887737760 +214 195 4 891544200 +59 118 5 888203234 +270 217 5 876956360 +1 200 3 876893098 +354 962 4 891217274 +92 559 3 875660304 +405 580 1 885547447 +227 7 5 879035251 +234 493 3 892078567 +323 328 3 878739029 +99 926 3 885679437 +207 144 3 875509434 +294 350 4 889241426 +200 1060 3 876042340 +260 538 1 890618403 +174 14 5 886433771 +298 71 5 884183016 +279 654 5 875306552 +405 1409 1 885549045 +292 234 5 881105245 +13 290 4 882141814 +297 267 3 875409139 +392 1143 4 891038158 +381 216 5 892695996 +207 59 4 877846793 +237 199 4 879376606 +274 83 5 878946612 +239 1203 5 889180040 +387 82 4 886483098 +234 289 4 891033851 +405 953 3 885546487 +273 319 4 891292846 +201 176 4 884112281 +299 95 3 889501654 +338 486 3 879438392 +286 289 5 875806672 +174 423 2 886514276 +145 217 3 877343156 +66 15 3 883601456 +345 356 3 884993686 +181 1343 1 878962199 +387 333 3 886479484 +175 9 4 877108146 +296 475 4 884196555 +62 180 4 879373984 +343 8 5 876404836 +13 281 3 882397974 +262 191 4 879793022 +234 1457 3 892079538 +309 303 2 877370319 +210 211 5 887730297 +230 443 4 880485090 +303 531 4 879466457 +320 123 4 884748750 +307 1140 2 879114143 +210 679 3 887808619 +303 705 5 879467105 +151 160 4 879542670 +239 152 3 889179808 +385 337 4 879439469 +229 258 2 891632040 +297 195 1 875240053 +1 180 3 875072573 +373 102 5 877100096 +151 64 5 879524536 +313 199 4 891013938 +208 523 4 883108360 +194 98 4 879521329 +292 207 5 881105561 +231 121 4 879966609 +373 451 5 877107430 +378 288 3 880043804 +328 515 5 885045678 +125 120 1 892839312 +37 363 3 880915711 +285 276 4 890595726 +280 195 3 891700303 +378 527 4 880054954 +271 419 3 885848996 +176 240 4 886048230 +339 607 5 891032189 +365 321 5 891303536 +42 280 4 881106270 +56 38 2 892683533 +178 134 3 882826983 +101 975 2 877136659 +269 809 1 891451451 +102 184 2 888801465 +59 431 4 888205534 +344 248 4 889814539 +299 702 4 889502159 +399 486 3 882510290 +391 264 1 877398704 +230 432 4 880485110 +23 13 4 874784497 +267 824 4 878970953 +286 577 2 877535500 +393 431 2 887746965 +389 490 3 879991081 +49 514 4 888068686 +286 554 4 877535014 +313 565 1 891030027 +126 319 2 887938081 +264 443 5 886122447 +326 944 2 879877326 +59 527 5 888204553 +157 1283 2 886891173 +345 283 4 884991105 +195 304 4 876617344 +26 476 3 891384414 +43 91 3 883956260 +151 287 4 879528754 +222 944 3 878715192 +321 199 4 879439787 +398 12 3 875658898 +381 403 3 892696045 +276 743 1 874792634 +308 1404 4 887739257 +367 100 5 876689878 +13 447 2 882396869 +96 1232 5 884404017 +312 604 5 891698613 +387 168 5 886479610 +41 174 4 890687264 +164 323 4 889401318 +311 425 2 884365140 +174 293 5 890168505 +159 872 1 880485262 +95 445 4 888956272 +145 683 3 879161674 +396 1025 4 884645839 +11 260 1 891902426 +76 1007 4 875312109 +392 492 4 891038979 +290 227 2 880473557 +64 212 3 889740011 +213 193 4 878955442 +311 232 3 884364812 +308 806 4 887737594 +393 812 3 889555021 +282 307 3 881702875 +43 153 5 883955135 +48 132 5 879434886 +256 51 4 882165135 +363 588 2 891495339 +363 156 3 891494962 +345 284 4 884991348 +308 463 4 887738057 +290 739 3 880475757 +184 137 5 889907685 +405 994 1 885549746 +144 410 3 888104521 +11 752 4 891902157 +405 387 1 885546680 +38 82 5 892429903 +393 349 3 887742939 +9 507 4 886959343 +200 768 4 884130592 +368 17 5 889783562 +195 771 2 874825826 +209 50 5 883417589 +337 135 5 875236512 +342 32 5 874984207 +387 448 3 886481686 +383 321 5 891192376 +303 245 3 879466249 +256 974 3 882164059 +345 1011 3 884991127 +130 358 4 874953526 +346 569 3 875266064 +89 739 2 879460376 +75 1151 2 884050829 +316 9 4 880853774 +251 15 4 886272086 +250 129 4 878089677 +286 404 5 889651799 +339 228 4 891033960 +135 325 4 879857575 +293 554 1 888907794 +315 709 4 879821158 +194 12 5 879520916 +49 1076 2 888067187 +361 14 4 879440651 +320 54 4 884751209 +144 300 3 888103370 +204 45 5 892513906 +132 275 3 891278915 +312 157 1 891698516 +233 313 5 891920842 +234 70 3 892335587 +193 1258 3 889123806 +244 135 4 880606442 +231 748 4 888605273 +344 228 4 884901047 +399 924 5 882340678 +109 172 5 880572528 +18 423 5 880132437 +49 462 2 888066486 +249 202 4 879572167 +399 1543 3 882509891 +177 100 5 880130600 +59 640 5 888206445 +327 494 4 887822400 +230 291 4 880484825 +394 174 5 881057914 +59 95 2 888204758 +16 564 1 877726790 +208 435 5 883108430 +387 697 1 886483906 +188 209 2 875073246 +399 372 3 882511047 +303 778 4 879467815 +246 402 3 884922917 +303 364 2 879544153 +384 355 4 891274055 +293 435 4 888906464 +153 321 3 881370900 +379 176 5 886317511 +92 94 3 875812876 +263 153 3 891298727 +368 320 5 889783364 +348 406 4 886523521 +94 234 5 885882685 +83 1028 4 880307207 +41 289 2 890686673 +145 727 2 875272652 +83 106 4 887665549 +270 275 5 876954248 +281 938 2 881200789 +378 276 4 880044198 +393 278 4 887744473 +85 213 4 879454751 +68 282 1 876974315 +62 249 2 879372479 +57 1095 2 883698062 +364 289 3 875931432 +299 423 3 878192238 +406 48 5 879792811 +200 840 4 876042525 +343 88 4 876405130 +303 558 4 879467105 +95 422 2 888956665 +125 194 5 879454986 +361 185 5 879441215 +374 363 3 880394088 +334 153 4 891547306 +296 124 5 884196555 +292 222 3 881105195 +115 543 2 881172303 +290 22 5 880473942 +194 195 3 879521657 +334 515 4 891545898 +392 165 5 891038433 +160 463 4 876859777 +42 1045 2 881108873 +150 628 4 878747018 +325 152 4 891477905 +106 22 4 881449830 +30 294 4 875140648 +257 1462 5 879547695 +249 235 4 879640261 +232 202 4 888549515 +216 1161 4 881432609 +232 272 4 885939511 +405 1432 1 885549942 +234 205 3 892079288 +401 638 4 891033158 +378 66 3 880056632 +334 285 4 891544707 +320 892 3 884748299 +323 508 4 878739643 +296 963 5 884197352 +303 729 3 879483568 +60 216 4 883327827 +379 735 4 880525133 +305 305 3 886307860 +279 1035 3 875309935 +405 190 2 885546201 +374 952 2 883627906 +373 127 2 877099968 +360 242 4 880353616 +115 82 4 881172117 +178 259 1 882823437 +402 111 4 876267041 +342 1128 5 875318536 +222 931 1 881061396 +234 242 4 891033261 +312 151 2 891698832 +297 245 3 874954060 +279 1271 4 875659999 +59 846 4 888203415 +160 161 3 876861185 +8 7 3 879362287 +91 161 3 891439353 +222 12 5 878181387 +380 59 4 885478447 +234 502 4 892336077 +324 283 3 880575531 +354 904 5 891180419 +13 694 4 890704999 +92 820 1 875644796 +371 55 4 877487364 +379 230 4 880525540 +276 317 4 874791257 +70 121 3 884148728 +138 116 2 879022956 +393 778 3 887746301 +145 1054 1 888398563 +128 209 4 879968332 +405 521 4 885544698 +59 506 5 888205787 +94 102 3 891721462 +103 50 5 880416864 +13 624 5 882398691 +6 423 3 883602501 +234 1198 3 892335187 +276 831 3 874792634 +405 1177 1 885547766 +148 507 5 877398587 +207 241 3 877995673 +144 19 4 888103929 +380 732 4 885478646 +406 479 4 879445771 +75 290 4 884050451 +71 276 4 877319375 +392 23 5 891038466 +43 95 4 875975687 +18 485 5 880132437 +135 475 4 879857592 +117 411 3 880126232 +12 381 4 879958902 +250 748 2 878089033 +43 956 1 883956259 +18 64 5 880132501 +280 586 4 891701871 +318 485 5 884495921 +405 1503 1 885548932 +115 475 5 881170252 +84 222 4 883450020 +171 302 4 891034606 +201 1227 1 884140787 +394 88 3 880889400 +176 1012 4 886048145 +122 570 3 879270849 +392 293 4 891038137 +59 708 4 888206410 +99 12 5 885680458 +347 222 4 881652377 +58 1019 4 884305088 +85 502 4 879454633 +18 99 5 880130829 +207 194 4 875504118 +305 81 3 886323335 +16 51 4 877726390 +13 885 1 886302334 +334 684 4 891545768 +313 194 4 891014499 +290 832 3 880732491 +295 570 3 879518590 +121 294 4 891389522 +304 343 3 884967896 +287 248 5 875333965 +224 1053 3 888104281 +117 628 5 881012174 +359 295 3 886453325 +405 524 1 885547124 +389 378 5 880087695 +327 806 4 887747617 +225 492 4 879539767 +160 1223 4 876861799 +233 1194 5 880190371 +299 135 4 878191889 +346 518 4 874948889 +312 205 5 891699372 +348 472 4 886523758 +405 570 1 885546487 +326 508 3 879875432 +200 929 4 876042979 +399 196 5 882349678 +7 393 4 891352058 +393 1092 3 889731139 +13 270 4 881514876 +214 216 4 891544290 +238 121 4 883576443 +178 510 4 882826394 +23 209 5 874785843 +244 290 3 880604616 +201 467 2 884139983 +17 125 1 885272538 +201 302 4 884110637 +200 802 4 884130485 +385 249 2 879440892 +389 836 4 879991045 +391 56 5 877399745 +399 402 3 882344434 +151 87 4 879524420 +248 294 3 884534379 +313 64 4 891016193 +5 79 3 875635895 +269 756 1 891451947 +331 702 3 877196443 +393 265 4 887746301 +109 294 4 880562908 +145 3 3 875271562 +262 122 2 879791537 +279 208 5 875310631 +276 427 5 883822485 +20 931 1 879668829 +399 1232 3 882350831 +144 956 4 888105636 +103 471 4 880416921 +11 395 2 891905349 +366 436 5 888857932 +276 14 4 890979947 +393 136 5 889555050 +298 197 4 884183236 +135 744 4 879857612 +275 28 4 880314529 +236 532 2 890116915 +119 1086 4 874775136 +49 423 2 888067727 +216 368 2 880233298 +250 357 4 878091915 +254 176 3 886472768 +250 23 4 878090499 +346 210 4 874947700 +311 329 4 884363904 +130 363 3 876250781 +389 504 4 880087832 +157 1302 5 874813703 +255 748 1 883215630 +147 345 4 885594040 +115 89 5 881172049 +232 461 5 888549563 +323 713 4 878739299 +92 748 3 892655791 +328 245 4 885044703 +276 145 3 874792692 +347 318 3 881653563 +117 56 5 881011807 +249 748 3 879571586 +7 542 4 892131849 +125 1 4 879454699 +405 721 1 885547360 +37 195 5 880915874 +7 599 1 891353860 +326 679 3 879876941 +234 523 4 892334141 +187 196 4 879465507 +313 473 3 891030228 +308 611 4 887738971 +246 369 3 884924710 +100 990 3 891375428 +263 99 3 891298977 +287 268 4 888177170 +401 199 3 891032896 +354 47 4 891217110 +354 149 5 891216498 +378 54 4 880056976 +336 738 1 877757343 +279 1120 3 891209189 +314 578 4 877887763 +361 655 3 879440346 +192 302 5 881366489 +379 480 5 885063301 +353 271 2 891402567 +225 1443 4 879540778 +379 98 5 880524541 +55 405 1 878176134 +186 939 5 879023529 +171 344 3 891034889 +294 1007 4 877819761 +402 255 4 876266948 +92 463 4 875656623 +235 197 5 889655266 +85 94 3 882995966 +38 252 5 892429567 +174 276 5 886433862 +95 588 3 879198800 +91 484 4 891438977 +374 195 3 880938870 +321 191 3 879440365 +354 213 5 891217160 +94 88 3 891721942 +299 950 2 877878148 +130 33 5 876252087 +375 761 3 886622131 +308 181 4 887739095 +293 414 4 888906576 +345 660 5 884993418 +48 172 5 879434791 +19 692 3 885412840 +23 71 3 874789299 +109 441 2 880582633 +1 250 4 874965706 +92 977 2 886443494 +215 258 3 891434563 +174 949 5 886513729 +148 163 4 877021402 +20 95 3 879669181 +379 135 4 880524886 +344 678 2 884813365 +81 124 3 876534594 +370 209 5 879435461 +244 72 4 880607365 +389 583 2 880088039 +397 194 3 885349348 +234 196 3 892079910 +214 32 4 892668249 +85 157 3 879454400 +95 768 1 888956272 +325 458 3 891478877 +383 641 4 891192778 +42 834 1 881110763 +60 659 4 883326862 +95 161 3 879196298 +188 392 5 875073408 +100 333 3 891374528 +244 209 4 880605485 +307 515 4 875680871 +249 24 4 879640306 +109 409 2 880571920 +46 327 4 883611456 +308 466 5 887738387 +284 286 4 885328727 +237 513 5 879376328 +276 1180 2 877935306 +348 245 4 886522765 +148 1039 2 877015784 +104 546 1 888465491 +392 179 5 891038946 +49 542 2 888067096 +378 301 3 892382841 +141 880 1 886447847 +363 746 4 891495630 +283 407 3 879297867 +286 77 3 877533001 +40 333 4 889041402 +279 250 3 875249259 +104 1226 3 888465347 +65 48 5 879217689 +314 122 1 877887065 +7 514 2 891351121 +6 486 4 883601427 +56 201 4 892910604 +239 701 5 889179544 +58 546 2 892242190 +139 246 4 879538218 +342 483 4 875319745 +7 404 5 891352947 +313 69 5 891016193 +299 181 3 877877479 +293 16 2 888907499 +215 185 4 891436566 +343 654 5 876407006 +399 531 3 882342964 +347 291 5 881652746 +138 519 5 879024043 +249 271 4 879571521 +174 197 5 886434547 +227 19 4 879035431 +286 1 4 876521699 +406 664 2 884630973 +192 257 4 881367592 +374 216 5 880394997 +7 630 5 891352341 +23 191 3 877817113 +83 1 4 880306903 +393 31 4 887745912 +361 12 4 879441214 +13 866 3 882141814 +104 751 4 888442337 +309 1393 2 877370383 +334 322 3 891544584 +10 435 5 877889261 +256 864 4 882151623 +1 85 3 875073180 +334 340 3 891544264 +130 286 5 874953239 +381 634 3 892696872 +235 188 4 889655619 +295 318 5 879517010 +10 706 4 877888677 +279 121 4 875297708 +344 845 3 884899791 +370 12 4 879435369 +193 553 4 889126272 +276 571 2 874792118 +347 841 3 881652769 +117 886 5 880124413 +405 210 5 885547124 +90 17 4 891384721 +267 685 3 878970978 +268 258 2 876513675 +325 107 2 891479102 +266 313 4 892256705 +95 568 4 879196594 +64 215 5 889737914 +373 485 4 877098751 +274 319 5 878944379 +303 998 3 879544435 +298 213 3 884183130 +354 736 5 891218568 +59 140 1 888206445 +289 685 4 876789373 +354 79 2 891217274 +344 274 2 884899768 +308 742 4 887739172 +145 38 3 888398747 +290 523 3 880473735 +188 632 5 875071581 +326 205 4 879875507 +378 942 3 880056798 +360 663 4 880355888 +373 20 2 877098751 +313 665 4 891028323 +220 286 5 881197663 +286 636 3 877533185 +207 2 3 877822770 +227 106 3 879035775 +239 1056 5 889180041 +87 183 4 879875734 +286 57 5 877533419 +25 427 4 885852059 +244 554 3 880608733 +92 173 3 875656535 +292 300 4 877628139 +332 879 4 887916385 +334 182 3 891545793 +295 1028 5 879519556 +342 100 5 874984207 +58 61 5 884305271 +387 288 3 886484385 +346 684 4 874948929 +381 914 1 892697768 +393 374 3 889731702 +405 465 1 885548836 +269 1065 5 891447891 +236 614 5 890116335 +389 98 4 879991264 +355 336 4 879486529 +354 318 3 891217365 +280 692 3 891700983 +392 276 4 891039049 +234 929 1 891228099 +255 455 2 883216845 +315 508 4 879799457 +336 154 5 877757637 +327 921 4 887748028 +43 175 2 875981304 +347 286 3 881652054 +292 194 4 881105442 +210 182 5 887736232 +320 97 5 884750946 +339 770 4 891034895 +13 196 4 882140552 +286 195 4 877534618 +165 332 4 879525672 +244 631 4 880606760 +5 418 3 875721216 +87 1089 3 879876225 +56 216 4 892676885 +87 73 3 879877083 +395 172 5 883763041 +346 673 3 874951782 +221 231 4 875246359 +280 210 2 891700385 +164 333 5 889401383 +373 1230 3 877111313 +354 953 3 891218208 +276 471 4 874786657 +151 684 3 879524849 +387 672 2 886481687 +354 705 4 891217547 +380 22 4 885478334 +383 425 4 891193181 +303 201 5 879467573 +194 198 3 879522021 +152 151 4 880148735 +342 523 4 875319854 +188 216 5 875075300 +102 164 3 888803002 +393 686 4 889729185 +139 508 4 879538255 +91 326 3 891438245 +308 238 5 887736843 +234 21 3 892335042 +268 183 4 875309583 +343 130 3 876403883 +226 28 4 883889322 +184 1195 3 889909934 +406 823 3 879540147 +151 584 3 879525035 +174 1230 1 886515210 +109 318 4 880572680 +57 264 2 883696672 +301 597 3 882075202 +398 199 4 875721548 +234 739 3 892335990 +276 1471 2 877934947 +374 815 4 880393668 +318 237 5 884494712 +163 286 3 891219977 +206 882 1 888180049 +401 135 1 891032919 +363 1019 5 891496414 +279 117 5 875297199 +336 692 3 877757637 +303 578 2 879484846 +92 1207 3 875907179 +62 664 4 879376079 +1 91 5 876892636 +232 747 3 888549957 +198 197 4 884208200 +405 692 5 885547177 +301 96 5 882076239 +216 72 2 881721890 +296 204 5 884199625 +288 64 5 886374365 +90 964 5 891385843 +276 806 4 874787467 +363 370 3 891500269 +195 1417 3 877246560 +85 568 3 879455238 +345 246 4 884994156 +387 461 5 886483753 +22 118 4 878887983 +94 546 3 891723296 +49 111 2 888068686 +363 346 4 891493746 +221 1012 4 875244475 +72 96 5 880037203 +92 53 3 875656392 +258 873 5 885701062 +125 577 2 892839312 +379 522 5 880524753 +148 7 5 877017054 +221 265 3 875246247 +312 593 5 891698987 +49 95 2 888067031 +181 1357 1 878962240 +230 526 3 880485159 +16 318 5 877718107 +234 85 2 892334852 +184 642 4 889909446 +124 550 4 890287645 +81 282 5 876533619 +330 1028 4 876544953 +370 238 4 879435369 +85 443 4 879454582 +248 324 4 884534506 +402 480 5 876267206 +265 410 4 875320633 +177 270 1 880130452 +392 1014 3 891038205 +62 1131 3 879375247 +399 742 4 882340844 +256 188 5 882164559 +274 713 5 878945437 +389 492 5 880086944 +336 67 4 877756966 +405 583 1 885546112 +65 582 3 879216702 +70 197 4 884149469 +87 409 3 879877127 +392 319 5 891037385 +231 405 4 879966609 +363 145 1 891498589 +62 1074 4 879376299 +313 134 5 891013712 +389 100 5 879915701 +383 475 2 891193137 +160 24 5 876769689 +58 228 5 884305271 +174 571 1 886515295 +301 153 3 882075743 +222 1267 3 878183173 +94 674 3 891723748 +158 636 4 880134532 +378 88 4 880046408 +332 934 2 887938886 +95 3 1 879193881 +83 117 5 880307000 +199 285 4 883782879 +381 13 4 892696445 +81 595 4 876534437 +407 433 4 875117053 +56 294 4 892676056 +393 836 4 889728895 +160 693 5 876770193 +334 845 2 891544867 +85 528 4 879454859 +188 1213 2 875074847 +311 15 5 884963136 +118 528 4 875384514 +18 19 3 880130582 +405 186 5 885547176 +360 251 5 880354315 +243 511 5 879989217 +118 218 5 875385386 +409 65 4 881108777 +291 1273 2 875087634 +97 79 5 884238817 +330 692 5 876547032 +201 670 4 884112673 +52 845 5 882922485 +322 12 4 887313946 +203 7 3 880434438 +314 237 5 877886221 +128 965 3 879968279 +379 417 5 880525794 +64 476 1 889740286 +299 182 3 878192039 +82 527 3 878769479 +328 423 4 885046305 +12 402 5 879960826 +312 705 5 891698553 +250 1161 4 883263375 +249 55 5 879572331 +145 763 4 875271047 +402 764 3 876266985 +181 1376 1 878963167 +49 123 1 888068195 +399 33 3 882344942 +321 198 4 879439926 +5 429 3 875637429 +269 120 1 891446926 +28 568 4 881957147 +315 238 5 879821003 +195 651 5 875436683 +85 1074 3 882996039 +119 182 4 874781303 +5 385 4 875636185 +92 551 2 875906882 +79 740 4 891271870 +274 294 3 878944379 +226 24 4 883889479 +91 174 5 891439090 +222 92 3 878182632 +405 78 2 885549045 +345 724 5 884993139 +158 82 5 880134398 +404 687 3 883790465 +181 103 1 878962586 +407 205 4 875045371 +60 197 4 883326620 +372 441 4 876869512 +18 966 2 880132399 +380 652 3 885478241 +86 327 4 879570218 +16 161 5 877726390 +121 631 4 891387992 +234 1020 4 892078890 +214 483 4 891543972 +276 809 2 874977245 +296 117 3 884196741 +398 423 5 875659319 +297 209 4 875239535 +279 224 4 882369761 +352 234 4 884290549 +372 874 4 876869238 +359 273 4 886453325 +263 186 4 891299815 +389 395 2 880089133 +70 139 3 884150656 +308 455 4 887738226 +269 44 3 891449691 +279 952 3 875296676 +130 176 5 881536127 +389 479 4 879991535 +345 471 3 884991127 +389 194 4 879991147 +15 7 1 879455506 +130 28 4 875217172 +354 929 4 891216896 +238 458 4 883576622 +313 521 4 891013887 +308 616 2 887739800 +388 5 4 886441083 +116 895 2 886309812 +232 98 4 888549838 +276 210 4 874792094 +280 237 3 891700624 +92 135 4 875652981 +189 268 4 893265071 +330 200 5 876546668 +92 67 3 875907436 +335 678 3 891567251 +194 281 2 879540567 +328 289 4 885044566 +294 260 4 877819126 +406 962 4 879445810 +175 215 5 877107500 +405 11 4 885545263 +200 183 5 884128554 +200 8 4 884128904 +299 778 4 889502688 +282 294 4 879949525 +85 160 3 879454075 +405 1578 1 885549543 +178 363 3 882824467 +82 220 2 878768840 +332 1244 4 887938798 +269 238 5 891448850 +38 79 3 892430309 +372 547 5 876869481 +401 609 3 891033625 +119 550 4 887038665 +130 174 5 875216249 +399 154 3 882343327 +292 144 5 881105280 +374 127 4 880392936 +102 568 2 888801232 +328 480 3 885046244 +184 410 3 889908181 +246 289 2 884922658 +43 402 4 883956283 +269 1101 4 891448120 +65 211 4 879217852 +115 310 3 881169559 +130 1207 1 880396861 +130 443 5 876251446 +7 396 4 891354288 +194 289 1 879535548 +37 11 4 880915838 +308 1021 4 887736459 +222 204 5 878182370 +87 33 3 879876488 +334 69 1 891548032 +185 86 5 883524428 +217 398 1 889070050 +13 271 1 881514876 +215 432 5 891435574 +345 49 3 884993505 +8 689 4 879361873 +223 742 3 891549570 +40 345 4 889041670 +314 1028 3 877886816 +234 193 4 892334713 +354 699 3 891218474 +327 1012 2 887745891 +6 59 5 883601713 +130 226 5 876252420 +393 527 3 889727614 +345 100 5 884902317 +256 406 3 882152605 +374 279 4 880394233 +385 1071 4 879448426 +184 1396 4 889913490 +380 923 3 885478603 +291 218 4 874834799 +7 205 5 891351585 +301 1 4 882074345 +35 259 4 875459017 +363 196 4 891494658 +271 1133 3 885849536 +84 291 3 883452363 +213 180 5 878956047 +230 276 5 880485573 +276 68 4 874792483 +301 566 3 882076463 +27 370 4 891543245 +268 73 3 875743563 +112 312 5 884992872 +85 658 3 879829861 +212 179 1 879304010 +90 149 3 891384754 +301 173 4 882076403 +291 1376 3 874834323 +315 12 5 879821194 +389 414 4 879991485 +197 190 3 891410082 +183 159 4 892323452 +299 73 2 889503265 +279 940 5 889151559 +194 526 4 879521087 +99 255 3 888469419 +308 1073 3 887736798 +295 1170 5 879966498 +181 1052 2 878963441 +102 101 4 883748488 +184 1398 5 889911749 +11 300 3 891902092 +16 300 5 877717078 +269 55 4 891449214 +393 1032 3 889729296 +2 315 1 888550774 +313 674 2 891029918 +385 290 3 879440674 +405 787 3 885545672 +323 15 3 878739393 +291 188 3 874835198 +395 315 5 886480875 +204 259 2 892389195 +345 289 3 884901497 +223 282 4 891549627 +173 292 5 877557369 +42 432 3 881108147 +326 655 5 879875432 +342 581 3 875320037 +377 100 3 891298589 +184 286 4 889906905 +130 393 5 876252472 +7 79 4 891352261 +378 866 2 880044726 +83 181 4 880306786 +311 234 4 884364873 +130 99 5 875216786 +387 693 5 886484336 +117 195 5 881012255 +276 127 5 874786568 +345 33 4 884993069 +405 414 1 885547268 +398 50 5 875652927 +193 684 4 889125788 +18 659 4 880129489 +311 921 4 884364695 +95 265 3 879196513 +336 1074 5 877757516 +297 272 5 884039431 +341 292 5 890757659 +290 105 2 880732753 +295 946 2 879517994 +379 50 4 880525400 +178 273 3 882823858 +409 1295 1 881105367 +119 83 4 886176922 +345 302 5 884902317 +409 1242 2 881106087 +328 1136 4 885047018 +28 145 3 881961904 +303 1011 2 879484282 +308 664 5 887736999 +10 275 4 877888677 +181 881 1 878961781 +405 172 5 885545111 +222 840 3 878184392 +343 250 5 876403078 +405 430 1 885547177 +192 276 2 881367505 +387 393 2 886483009 +54 871 5 880938547 +409 50 5 881107281 +224 135 1 888103671 +99 3 3 885679237 +291 794 4 875087334 +269 886 3 891446133 +106 88 3 881453097 +328 556 3 885048930 +59 428 5 888205188 +315 792 5 879821120 +346 831 3 875003274 +178 181 5 882823832 +180 1131 5 877441985 +344 471 3 884899719 +268 477 3 875742407 +383 663 5 891192778 +265 257 4 875320462 +308 44 4 887740451 +16 76 5 877719863 +230 183 3 880484370 +10 371 4 877886912 +214 23 5 892668130 +201 531 2 884113949 +90 512 4 891383241 +239 650 5 889180530 +406 239 3 880131608 +87 411 4 879876946 +352 657 4 884290428 +236 1102 4 890117488 +345 732 4 884993418 +339 347 4 891034953 +104 744 1 888465413 +409 223 4 881107539 +377 751 3 891296044 +144 1142 5 888103968 +210 662 2 887730221 +334 663 5 891545852 +57 100 5 883698581 +370 175 3 879434804 +312 435 4 891699702 +310 1022 5 879435764 +210 692 4 887736796 +339 1139 3 891036557 +19 382 3 885412840 +340 402 4 884990922 +387 46 3 886484011 +269 1133 1 891451374 +1 10 3 875693118 +361 1074 3 879441179 +254 75 1 886475004 +318 63 3 884496932 +279 391 5 875313859 +67 122 3 875379566 +405 773 1 885548330 +178 55 4 882826394 +392 285 3 891039050 +151 121 5 879525054 +22 692 4 878886480 +354 732 2 891307157 +350 324 4 882345384 +391 26 5 877399745 +385 663 4 879446431 +185 285 5 883524507 +222 1179 1 881060550 +246 403 4 884922697 +121 57 5 891390014 +213 603 5 878955599 +151 654 4 879524514 +141 295 5 884585039 +373 488 3 877098343 +326 436 3 879877387 +386 50 4 877654961 +68 471 3 876974023 +139 286 4 879537844 +334 1051 4 891545347 +413 222 4 879969709 +72 357 4 880036550 +207 174 4 877750843 +286 881 5 884583549 +293 843 3 888907836 +1 254 1 878541392 +392 534 4 891038205 +49 401 2 888067975 +409 48 2 881108455 +194 739 3 879527263 +201 774 1 884114713 +174 124 5 886514168 +256 7 4 882151017 +64 566 3 889738085 +378 29 3 880332949 +56 1036 2 892910544 +56 202 4 892676933 +234 1458 4 892336165 +407 196 4 876340318 +198 95 3 884207612 +5 372 3 875636230 +184 64 4 889909045 +6 124 5 883599228 +393 715 1 889731592 +406 156 5 879446062 +291 395 3 875086534 +66 475 2 883601156 +268 1095 2 876513927 +267 3 4 878970901 +253 83 4 891628159 +361 88 4 879440974 +378 411 3 880045006 +7 131 5 891352383 +276 693 4 874790903 +347 257 4 881652610 +305 129 3 886323006 +224 1039 5 888082552 +387 488 3 886480163 +276 547 4 874786605 +352 183 5 884289693 +254 97 5 887346963 +334 427 4 891545821 +222 240 2 877563716 +246 260 5 884924991 +62 227 1 879375843 +85 70 4 879828328 +11 710 2 891905221 +380 69 4 885479301 +80 199 2 887401353 +109 672 2 880582045 +280 322 4 891700185 +405 178 3 885544947 +44 434 4 878348885 +162 628 4 877635897 +363 473 4 891498558 +399 655 3 882344372 +399 959 3 882343523 +354 58 3 891218356 +227 1008 4 879036009 +374 124 3 880392873 +298 28 4 884182725 +95 48 4 879197500 +293 255 3 888905146 +94 246 4 891724064 +243 435 4 879988913 +44 118 3 878341197 +222 395 1 878184924 +407 50 4 875045268 +1 129 5 887431908 +389 216 2 879991387 +253 87 5 891628278 +290 204 4 880473696 +399 527 3 882511093 +251 298 5 886272146 +7 673 3 891353744 +244 69 4 880603645 +91 1050 3 891439414 +215 216 4 891435782 +99 871 2 885679411 +318 435 5 884496069 +403 121 5 879786221 +13 405 2 882397742 +268 67 3 875743588 +405 647 1 885546069 +224 720 4 888103906 +397 988 1 875063722 +311 778 4 884365251 +158 273 3 880132356 +373 699 4 877105781 +175 496 5 877108098 +113 286 4 875325377 +187 522 3 879465125 +201 221 3 884111397 +286 1047 1 876522026 +18 275 5 880129421 +234 558 4 892079585 +21 977 2 874951416 +308 578 2 887738847 +181 1379 1 878962168 +250 678 2 878089182 +378 175 4 880055706 +10 234 4 877888877 +127 450 5 884364950 +18 131 4 880131004 +102 675 3 888802940 +181 225 3 878963038 +336 232 3 877757023 +393 1446 5 887746346 +236 705 4 890116402 +16 182 5 877719863 +295 183 1 879517348 +405 789 1 885547268 +14 242 4 876964570 +146 300 3 891457943 +303 591 4 879468082 +407 249 2 884614788 +401 519 4 891033158 +296 815 3 884196806 +200 215 4 884129346 +379 284 4 880568407 +291 89 3 874835116 +236 58 2 890118462 +134 892 2 891732532 +384 689 4 891274232 +130 356 4 880396792 +224 1212 2 888104457 +378 576 3 880333027 +158 593 4 880134261 +243 813 4 879987239 +44 91 2 878348573 +85 708 4 879828349 +115 12 5 881171982 +251 596 3 886272118 +391 180 5 877399066 +164 823 4 889402225 +286 53 2 877533506 +244 367 1 880603442 +26 255 3 891377609 +244 724 4 880605638 +65 736 4 879216949 +286 88 4 877533640 +7 121 5 891352904 +135 79 3 879857843 +389 53 2 880089337 +406 318 5 879792811 +54 411 5 880936296 +293 215 4 888906244 +200 112 3 884127370 +308 127 4 887737243 +376 269 5 879454598 +101 50 4 877135944 +334 525 5 891545876 +367 334 4 876689364 +373 378 5 877100232 +308 64 4 887737383 +380 753 4 885479082 +385 82 1 879446786 +316 1039 5 880854500 +291 755 2 875086958 +399 588 5 882342938 +58 684 4 884305271 +332 409 3 887938601 +268 206 3 875309232 +196 286 5 881250949 +389 153 3 880088510 +357 1095 3 878952190 +369 181 5 889428642 +303 651 5 879468021 +94 405 3 891721615 +210 419 4 887737678 +200 1033 2 891825441 +409 288 1 881104647 +221 70 3 875245870 +405 1118 1 885547268 +256 4 5 882164525 +253 705 5 891628598 +121 192 4 891388250 +75 291 1 884050502 +286 1286 5 877532683 +152 313 4 890322242 +406 496 4 879445378 +388 147 4 886436871 +357 334 4 878951101 +391 134 4 877399171 +303 42 5 879467223 +326 88 2 879877235 +115 470 2 881171694 +241 292 4 887250084 +399 1279 3 882341625 +230 11 4 880484911 +203 151 4 880434384 +218 5 3 881288574 +347 230 4 881654101 +406 605 5 882480749 +71 289 2 877319117 +320 552 4 884751336 +409 200 2 881109175 +13 472 5 882398327 +49 588 4 888067031 +332 22 5 887938934 +374 237 5 880392717 +306 116 5 876504026 +213 1215 1 878871089 +393 294 4 887742145 +181 1330 1 878962052 +303 1178 2 879544130 +141 872 1 886447698 +178 96 4 882826782 +59 1110 4 888206363 +184 116 4 889910481 +271 518 4 885849357 +276 214 5 874787353 +256 120 1 882163754 +372 327 5 876869183 +255 288 4 883216185 +295 380 4 879518455 +66 21 1 883601939 +49 343 2 888065786 +59 419 2 888205228 +363 351 2 891493864 +327 652 4 887819860 +405 426 1 885549192 +151 227 5 879542670 +194 232 2 879553731 +373 842 3 877098343 +343 199 5 876404464 +293 603 5 888905898 +151 792 4 879524268 +320 77 3 884751246 +348 411 4 886523790 +271 530 4 885848770 +385 285 5 879439637 +339 98 4 891032150 +194 226 3 879525761 +152 286 5 875562268 +223 756 3 891550295 +160 604 4 876859778 +5 421 1 875721019 +331 59 5 877196383 +354 124 5 891216632 +406 85 2 880131875 +392 873 3 891037851 +137 15 4 881432965 +294 300 4 877818861 +279 52 3 890780576 +381 1439 3 892696831 +380 433 3 885479186 +56 769 4 892679389 +279 235 3 891209153 +269 423 4 891448048 +92 184 3 877383934 +48 656 4 879434689 +59 1028 1 888203900 +308 175 5 887736999 +13 610 2 882140690 +346 732 3 874948955 +109 552 2 880582414 +82 276 4 876311344 +58 490 4 884304896 +59 729 4 888205265 +233 381 4 877665125 +244 1047 2 880605264 +295 655 5 879517010 +405 1338 1 885549790 +328 76 3 885046580 +409 99 3 881107750 +102 588 4 883748450 +311 528 4 884364724 +91 482 3 891439208 +102 445 2 888803148 +100 752 4 891375146 +367 551 3 876690048 +49 774 2 888067528 +22 386 3 878887347 +67 871 3 875379594 +374 540 3 880939304 +276 41 3 874792277 +90 328 3 891382490 +180 204 3 877127159 +334 160 4 891547190 +153 56 5 881371140 +59 528 4 888205300 +268 453 1 875744611 +87 403 3 879875996 +10 168 4 877888812 +181 1354 1 878962496 +70 189 4 884150202 +385 172 2 879442109 +189 510 5 893266326 +206 314 1 888179948 +116 65 2 876454052 +7 659 5 891351161 +376 289 3 879433599 +265 258 4 875320024 +136 100 5 882693338 +332 546 4 888098432 +393 546 2 887744578 +322 653 4 887314310 +201 50 4 884114471 +382 475 3 875946103 +64 746 5 889739138 +7 448 3 891353828 +385 503 3 879443217 +38 226 1 892431513 +347 685 3 881652684 +374 770 5 880938100 +290 54 3 880475218 +212 197 5 879303795 +405 1554 4 885546445 +324 332 3 880574766 +5 144 3 875636141 +329 147 3 891656072 +416 125 5 893213796 +305 268 3 886307860 +401 499 3 891033319 +175 660 3 877107836 +16 31 5 877717956 +313 649 3 891016325 +276 470 3 874790855 +216 28 4 880244902 +301 229 3 882078228 +194 188 4 879522158 +234 431 3 892078424 +4 288 4 892001445 +329 81 2 891656300 +270 471 5 876954223 +44 191 4 878347234 +312 52 5 891699399 +303 697 3 879484948 +249 216 4 879641305 +250 328 3 883262792 +232 318 5 888549757 +198 176 4 884207136 +280 663 4 891700783 +378 734 3 880334269 +408 689 3 889680045 +406 1126 3 879446588 +374 7 1 880393268 +242 361 5 879741340 +399 418 3 882343605 +193 815 3 889126332 +90 1193 4 891384789 +249 86 4 879572124 +402 16 3 876267096 +405 656 1 885548275 +201 89 3 884112245 +183 265 2 891466350 +166 894 4 886397905 +267 474 5 878974783 +49 172 1 888067691 +399 229 2 882349143 +94 76 4 891720827 +95 371 2 888955909 +59 476 2 888203814 +293 419 3 888906699 +241 350 2 887249889 +332 5 5 888360370 +405 1561 1 885546529 +410 300 3 888626538 +178 216 4 882826868 +358 896 4 891269077 +378 420 4 880056701 +405 440 1 885548330 +280 1478 4 891701090 +303 172 5 879467413 +189 381 3 893277551 +343 778 5 876406391 +22 226 4 878888145 +347 246 4 881652417 +10 497 4 877889261 +334 191 4 891545793 +18 497 4 880131358 +83 110 4 880309185 +407 211 4 875044400 +151 659 5 879524974 +370 511 4 879434804 +301 1028 5 882074801 +345 1 3 884990938 +244 950 1 880606274 +416 724 4 886316409 +393 227 4 889728385 +6 56 4 883601277 +59 447 5 888206095 +373 15 4 877098568 +398 520 5 875717106 +311 200 4 884365718 +279 201 5 890451408 +5 243 1 878844164 +199 405 2 883783005 +332 410 4 887938486 +283 288 2 879297867 +276 288 4 874786392 +328 636 3 885047556 +92 640 5 875653579 +234 322 2 891034007 +251 866 2 886272514 +399 148 4 882341362 +387 1069 2 886480288 +42 732 5 881108346 +94 583 3 891722174 +167 381 5 892738212 +279 1047 4 892864663 +398 493 5 875723337 +387 674 2 886481686 +269 636 3 891450453 +99 288 4 885678247 +27 246 4 891542897 +23 98 5 874786016 +250 813 5 878089581 +56 588 4 892683248 +77 483 4 884752665 +28 479 4 881961157 +13 847 4 882139937 +406 429 4 879446062 +77 357 3 884752970 +330 845 5 876544432 +378 739 4 880333239 +126 288 4 887853469 +350 616 4 882346383 +193 29 3 889126055 +405 722 1 885547735 +253 487 4 891628323 +230 176 4 880485445 +330 153 5 876545970 +243 173 3 879988913 +271 528 3 885848448 +64 633 5 889739243 +97 430 5 884238693 +160 447 4 876859413 +297 748 2 874954060 +314 1057 2 877887035 +254 448 3 886473775 +387 81 3 886483906 +125 174 5 879454309 +406 488 4 879445642 +223 252 1 891550326 +145 680 3 875269871 +158 137 5 880132443 +216 153 4 880244802 +379 294 3 880524363 +391 197 5 877399380 +405 540 1 885548163 +339 286 5 891032349 +56 849 2 892910913 +372 561 5 876869534 +387 651 2 886479689 +399 175 3 882342669 +49 1082 3 888066214 +367 56 5 876689932 +346 291 5 875002643 +119 829 5 874775406 +251 418 4 886271856 +90 501 5 891384885 +347 462 2 881654359 +10 475 4 877888545 +1 241 4 878543133 +343 708 4 876407006 +145 230 5 885557660 +294 125 3 877820272 +337 235 3 875184717 +216 1010 3 880232685 +7 564 3 891354471 +378 10 3 880044454 +99 827 3 885679504 +13 652 5 882141458 +308 486 4 887737432 +303 1048 4 879484871 +222 849 4 881060281 +295 86 5 879966498 +195 921 3 883934716 +130 597 4 874953866 +389 942 3 880165881 +137 51 1 881433605 +345 26 3 884993555 +222 276 5 877563550 +94 616 4 891720498 +334 22 4 891545821 +95 101 1 879198800 +357 864 5 878951653 +95 791 3 880572449 +339 522 5 891033165 +308 921 4 887738268 +56 70 4 892676996 +400 300 4 885676230 +379 523 4 880525108 +385 458 3 879440828 +222 82 4 878182453 +291 1157 3 874834944 +404 333 2 883790286 +303 44 4 879484480 +6 521 4 883601277 +363 307 5 891493795 +188 202 2 875073712 +334 505 4 891546405 +63 408 4 875747242 +291 106 4 874805958 +290 43 3 880475783 +13 294 2 881514683 +181 1151 1 878963304 +363 93 4 891495339 +57 281 4 883697404 +130 800 4 875802237 +416 250 4 876697074 +221 496 3 875246146 +264 683 2 886121811 +345 676 4 884991384 +95 657 5 879198697 +299 150 5 877877535 +409 197 3 881109215 +1 130 3 875072002 +228 427 4 889388547 +34 245 4 888602923 +115 471 2 881170791 +53 258 4 879442654 +413 271 4 879969027 +152 80 5 882477572 +393 742 4 887744517 +330 172 5 876546619 +19 201 3 885412839 +279 804 4 875744416 +399 732 2 882348089 +345 64 5 884902317 +92 475 5 875640148 +363 665 2 891498964 +411 172 5 892845604 +128 210 4 879968125 +401 273 2 891032334 +416 874 1 876696853 +144 393 4 888105743 +255 825 1 883216958 +360 222 2 880355094 +193 750 4 889122950 +7 260 1 892130982 +21 668 1 874951761 +23 518 5 874785194 +284 346 4 885329065 +99 402 4 885680617 +294 1013 2 889242788 +98 938 3 880498624 +41 153 4 890687087 +184 950 4 889907896 +59 547 3 888203482 +327 1075 4 887822832 +92 291 4 886443277 +125 648 4 879454793 +44 588 4 878347742 +286 1118 1 889652989 +184 237 4 889907945 +179 346 3 892151489 +14 845 3 880929564 +375 443 4 886622024 +177 334 3 880130467 +54 1088 3 880937311 +401 322 2 891031784 +263 526 5 891298854 +12 200 1 879959610 +279 184 5 890779991 +327 895 3 887743670 +257 130 2 882050236 +405 997 1 885547644 +29 270 4 882820803 +194 946 3 879527514 +276 156 5 874795704 +405 232 4 885547314 +160 228 2 876862243 +360 496 3 880356092 +94 949 5 885873160 +401 111 4 891032296 +374 385 4 880396048 +201 92 3 884112245 +85 1021 3 882995490 +345 387 4 884992823 +130 128 4 876251728 +85 632 3 879454304 +95 550 4 879196748 +405 1100 1 885546681 +30 538 4 885941798 +327 418 3 887820761 +223 143 4 891550845 +406 651 3 882480595 +311 775 3 884365579 +7 675 5 891352947 +207 1197 4 881681663 +347 182 5 881653736 +49 11 3 888069458 +92 728 3 875907574 +343 38 3 876406257 +293 751 3 888904180 +320 252 2 884749532 +331 503 4 877196504 +344 172 4 884814697 +203 50 5 880434810 +76 121 2 882607017 +256 566 5 882164559 +324 127 4 880575658 +130 184 4 875801695 +238 546 3 883576574 +406 645 5 880131905 +393 386 4 889731390 +389 1203 5 880087544 +5 185 3 875720692 +295 1188 3 879519354 +339 496 5 891032320 +43 191 5 875981247 +406 14 4 879539855 +378 230 3 880055984 +76 603 3 882606147 +119 568 4 874781915 +316 530 2 880853599 +99 107 3 885679138 +13 588 4 882398763 +339 1039 4 891033932 +406 463 5 879793261 +186 546 4 891719775 +271 185 3 885848448 +74 301 3 888333372 +374 87 5 880395320 +56 392 4 892678893 +277 181 3 879543653 +307 239 3 877122138 +194 443 3 879523104 +405 442 1 885548384 +268 385 3 875310206 +291 356 4 874834875 +222 399 4 878182686 +407 231 3 876342031 +344 191 5 889814194 +185 939 3 883524249 +270 569 4 876956419 +253 243 2 891628883 +407 785 3 876341444 +266 283 3 892257897 +303 1239 1 879544020 +378 500 4 880055891 +166 323 5 886397722 +181 980 1 878962496 +387 182 5 886483048 +216 421 5 880235229 +200 148 4 876042340 +221 161 3 875246183 +308 91 4 887737536 +270 509 3 876954965 +58 381 4 890321652 +379 1219 2 883156704 +243 531 4 879988157 +406 58 4 879446718 +363 87 3 891496306 +298 507 4 884182657 +62 125 4 879372347 +144 105 2 888104767 +286 161 2 877533419 +227 93 5 879035431 +174 1312 4 886434484 +158 373 2 880134781 +376 275 5 879455143 +269 512 5 891447216 +145 751 4 883840666 +339 772 4 891032413 +342 724 1 875320297 +279 238 4 891208908 +32 1016 1 883718121 +249 357 4 879572142 +385 1010 3 879440127 +249 42 5 879572630 +276 125 4 874786876 +159 1190 5 881680199 +417 3 4 879646344 +268 699 3 875744712 +417 781 3 880951559 +63 328 2 875746985 +7 273 3 891351547 +194 203 3 879522158 +82 140 3 878769668 +280 723 5 891701853 +294 475 5 877819310 +195 213 4 883934680 +194 222 1 879538960 +16 156 4 877719863 +393 342 5 887742179 +288 237 4 886892195 +283 455 4 879297707 +323 210 4 878739878 +294 895 4 889241309 +73 288 3 888792294 +405 72 3 885547268 +312 528 5 891698695 +371 746 4 880435397 +256 827 3 882163857 +87 732 4 879876703 +5 393 2 875636265 +72 161 5 880037703 +102 554 2 888801577 +398 172 5 875725927 +290 162 3 880474107 +6 470 3 883602690 +94 70 4 891722511 +137 250 5 881433015 +343 642 4 876404343 +112 754 4 884992508 +204 302 5 892389137 +92 576 2 875813171 +377 154 5 891298627 +334 443 3 891547128 +360 166 5 880355527 +92 148 2 877383934 +374 116 1 880393307 +197 289 4 891409422 +7 212 1 891353051 +299 511 4 878192311 +412 318 5 879716918 +301 673 4 882076751 +125 98 5 879454345 +130 195 5 875801470 +404 269 4 883790750 +406 469 4 879446588 +406 419 1 882480443 +349 455 2 879465712 +7 126 3 891353254 +235 7 4 889655723 +314 959 3 877888892 +381 1533 4 892696106 +151 1044 2 879524900 +43 751 2 883954803 +300 872 5 875650068 +263 432 2 891299448 +110 327 3 886987442 +405 135 5 885545333 +75 190 5 884051948 +344 245 3 884813365 +405 700 1 885547645 +296 845 5 884196689 +314 24 1 877886221 +303 208 5 879467706 +293 627 2 888906338 +102 99 2 883748488 +92 43 3 875813314 +410 312 2 888626881 +321 193 3 879441178 +27 978 2 891543222 +280 4 3 891700733 +110 367 3 886989340 +14 204 5 879119651 +342 274 2 874984895 +391 357 5 877399486 +416 348 3 886314660 +375 1073 2 886621950 +405 1434 1 885549942 +178 28 5 882826806 +409 497 3 881168631 +66 742 5 883601388 +286 25 3 875807003 +239 855 5 889179478 +75 151 5 884050502 +398 144 5 875658715 +10 269 4 877886162 +83 685 4 880306951 +80 234 3 887401533 +394 218 4 880889187 +27 475 2 891542942 +347 132 5 881654064 +332 831 3 887938760 +276 640 4 889174904 +80 215 5 887401353 +145 216 5 875272694 +397 1018 4 882839517 +393 169 3 887745912 +338 294 1 879437576 +81 151 2 876533946 +49 175 5 888068715 +325 432 5 891479263 +13 276 5 882140104 +95 627 4 880572288 +224 323 3 888082216 +59 186 5 888205660 +321 56 4 879438651 +7 619 3 891352831 +318 186 5 884498292 +109 237 4 880571770 +254 892 3 886470904 +106 1115 4 883876833 +307 408 5 875645579 +378 596 5 889665232 +343 156 4 876405857 +263 64 5 891298453 +76 23 5 875027355 +280 282 3 891700426 +214 268 2 891542445 +303 1118 3 879484004 +138 614 4 879024184 +49 185 5 888067307 +214 13 3 891543271 +305 258 4 886308064 +44 164 4 878348035 +289 405 2 876790576 +217 231 5 889069974 +199 286 5 883782485 +271 951 2 885849606 +18 1 5 880130802 +417 597 3 879646413 +397 178 5 885349759 +128 86 5 879966919 +200 559 4 884129920 +261 342 3 890454974 +154 462 3 879138831 +406 436 4 879792863 +24 56 4 875323240 +62 742 2 879372965 +264 433 5 886123530 +275 208 3 880314772 +405 96 3 885544881 +328 614 4 885046276 +3 327 4 889237455 +401 204 5 891033684 +72 172 1 880037119 +85 1149 3 886283002 +311 211 3 884364538 +311 86 5 884365252 +230 96 2 880484683 +201 56 5 884111269 +13 520 4 886302261 +280 40 5 891701614 +77 100 3 884732716 +130 567 2 876252225 +171 313 4 891034835 +222 1054 1 883816441 +409 659 5 881107410 +315 168 4 879821037 +189 474 5 893265238 +14 15 4 879119390 +385 629 2 879446643 +276 171 4 874795928 +322 1 2 887314119 +268 761 1 875744136 +189 79 3 893265478 +417 1095 3 879649322 +23 143 3 874786066 +405 1565 1 885549463 +216 1101 4 880235473 +339 642 5 891032953 +49 55 4 888068057 +91 504 3 891439471 +416 356 5 893213019 +99 66 3 886519047 +60 638 5 883326057 +405 734 2 885547506 +36 268 2 882157418 +216 282 5 880232597 +18 97 4 880131525 +21 671 5 874951657 +305 272 3 886307917 +233 257 4 883356847 +181 950 1 878963440 +307 449 4 879538922 +210 187 5 887736017 +200 1228 4 884130721 +1 255 2 885345822 +144 180 4 888105873 +280 54 2 891701747 +325 475 4 891478079 +256 742 5 882150552 +378 252 4 880045288 +125 1052 2 892839457 +269 152 4 891450623 +405 1469 1 885548932 +397 221 4 885349348 +14 42 4 879119579 +102 163 2 892993190 +130 534 5 874953728 +303 141 3 879483900 +292 320 5 881105373 +271 317 3 885848863 +412 218 3 879717147 +102 578 2 888801876 +213 132 5 878956263 +416 578 4 886318546 +325 175 5 891478079 +406 186 3 880131741 +249 919 5 879572668 +62 660 4 879375537 +409 1176 4 881104838 +60 499 3 883326682 +201 9 3 884113343 +301 241 3 882077222 +208 56 2 883108360 +200 717 4 876042493 +406 608 4 884630583 +382 98 3 875946563 +399 383 2 882350431 +269 1028 2 891446838 +405 964 1 885546154 +198 79 3 884208518 +307 655 4 877117166 +130 69 5 875216718 +311 89 5 884364845 +118 22 5 875385136 +48 28 2 879434653 +194 636 2 879553731 +59 1108 3 888204877 +374 1150 1 880937253 +14 176 1 890881484 +313 628 4 891016280 +180 732 3 877128137 +399 71 3 882351580 +186 100 4 879023115 +49 1068 3 888066187 +291 143 3 875086921 +342 255 4 874984574 +23 133 4 874786220 +373 269 5 877098075 +405 1250 1 885547997 +268 569 3 875744582 +405 214 4 885545235 +339 135 5 891033256 +293 866 3 888905322 +359 117 4 886453305 +234 135 4 892079769 +374 758 1 882158481 +243 655 4 879988104 +385 489 5 884631784 +346 1090 2 875265071 +405 450 1 885548093 +16 233 5 877727054 +354 414 4 891218492 +399 744 3 882510147 +326 403 3 879876976 +305 778 4 886325023 +387 169 5 886484336 +345 879 2 884901497 +303 226 4 879467295 +351 359 4 879481589 +60 13 4 883327539 +308 425 4 887737997 +271 1139 3 885849707 +242 291 3 879740593 +310 275 5 879436137 +248 179 3 884534649 +94 443 4 891721439 +234 451 3 892334578 +378 731 3 880056582 +299 724 3 889502687 +6 204 3 883601277 +305 1456 4 886324962 +361 340 3 879441805 +344 286 3 884813183 +248 484 2 884535013 +40 347 2 889041283 +143 347 5 888407741 +168 282 5 884287394 +296 121 5 884196689 +296 482 5 884197330 +316 234 1 880854473 +82 185 3 878769334 +405 127 5 885545167 +268 181 4 875309486 +344 79 4 884900993 +387 380 2 886484098 +389 1298 5 887868071 +293 467 4 888906263 +267 367 4 878971939 +308 264 2 887736408 +44 385 3 878348725 +303 26 4 879468307 +234 844 2 892078521 +112 303 4 884992535 +336 1012 5 877760082 +86 879 2 879570149 +399 986 3 882341586 +416 69 4 876699027 +83 684 4 880307898 +332 866 2 887938631 +286 268 4 884069298 +167 1307 2 892738277 +130 270 5 877984734 +94 566 2 891721815 +234 481 5 892079076 +44 214 5 878348036 +104 235 2 888465675 +387 1118 3 886482695 +363 767 2 891500179 +90 1206 2 891383912 +363 66 4 891496849 +409 199 4 881107117 +365 25 4 891303950 +343 980 5 876403239 +21 326 5 874950889 +280 722 3 891702122 +45 952 4 881014247 +201 331 4 884110967 +5 413 3 875635807 +276 732 4 874790903 +272 357 5 879454726 +334 888 2 891550464 +83 255 5 887665422 +234 202 3 892079585 +125 411 3 892839091 +406 588 4 879793081 +145 770 1 875272245 +399 62 3 882348876 +338 462 4 879438715 +64 1 4 879366214 +363 265 3 891495339 +99 762 2 885679411 +298 274 3 884183640 +102 94 2 892993545 +290 196 4 880474293 +354 57 5 891217575 +373 402 4 877105730 +15 937 4 879455128 +393 355 3 889554171 +115 187 5 881171203 +94 217 4 891722646 +299 151 4 877878227 +308 509 4 887738717 +11 194 4 891904920 +59 172 5 888204552 +278 269 5 891294959 +60 200 4 883326710 +378 133 5 889665232 +81 318 5 876534817 +26 979 3 891383899 +398 659 3 875738391 +286 329 4 886475961 +13 659 3 882141335 +261 410 5 890456142 +374 1407 2 880939304 +280 1168 5 891702544 +21 696 2 874951382 +130 298 5 874953769 +85 127 5 879829301 +239 603 5 889178616 +390 100 5 879694123 +345 132 5 884901371 +326 665 1 879876975 +297 423 3 875240237 +70 482 4 884068704 +343 196 4 876406257 +196 94 3 881252172 +313 56 2 891014313 +296 284 4 884196805 +220 682 4 881198014 +7 563 2 892131978 +361 1119 3 879440740 +385 447 3 879443150 +272 483 5 879454875 +144 65 4 888106182 +338 194 3 879438597 +417 551 3 879649224 +269 655 4 891448019 +301 105 3 882075202 +308 477 4 887739257 +312 543 5 891698424 +401 173 3 891032937 +183 203 3 891466266 +385 199 3 879442559 +291 401 4 875086766 +334 558 4 891546231 +363 561 2 891498884 +184 58 4 889908984 +104 288 2 888442140 +303 1258 2 879544756 +84 1040 3 883452630 +201 27 3 884140891 +327 64 2 887745699 +391 15 4 877399805 +189 31 3 893266027 +163 318 4 891220161 +406 501 5 879793081 +374 932 1 883628159 +363 1016 4 891499568 +401 527 4 891032919 +361 684 4 879441215 +373 404 4 877111422 +409 6 4 881109306 +295 504 4 879517299 +85 268 4 881705073 +276 268 4 877584085 +142 55 2 888640489 +206 990 1 888179913 +279 411 3 875296005 +291 1206 3 874871551 +193 301 4 889123257 +255 218 3 883216544 +268 211 4 875309583 +328 205 4 885045768 +3 307 3 889237224 +394 227 4 881132877 +228 655 4 889388489 +5 89 5 875636033 +102 393 3 892993302 +406 640 3 879793328 +280 468 4 891702028 +145 304 2 885557505 +323 172 5 878739988 +234 198 3 892078837 +279 1219 3 875744358 +70 185 4 884149753 +122 736 4 879270606 +276 742 4 874786756 +336 1059 3 877756890 +244 365 2 880608599 +413 306 4 879968793 +13 173 2 882139863 +57 225 3 883698039 +336 824 3 877756890 +256 722 3 882165269 +385 56 5 879441728 +163 216 3 891220196 +160 328 3 878078096 +385 48 5 879441777 +276 930 2 874787172 +151 164 5 879542984 +117 117 5 880126461 +412 28 4 879716962 +264 42 5 886123358 +373 105 3 877107173 +29 269 4 882820897 +385 216 2 879446868 +420 331 3 891357271 +110 658 3 886988065 +178 491 4 882827247 +392 538 2 891037851 +226 98 5 883889147 +145 69 5 882181632 +254 234 4 886472713 +130 217 3 875801940 +275 636 3 880314383 +383 603 5 891193242 +92 220 1 875644796 +8 183 5 879362233 +320 100 4 884748579 +298 202 3 884182867 +10 493 4 877886661 +110 759 3 886988850 +130 975 5 876251357 +300 257 4 875650267 +193 845 4 889124803 +405 719 1 885547447 +95 498 3 879197445 +416 272 5 893214332 +182 283 2 885613153 +374 1046 5 880938044 +222 160 1 878182154 +110 212 1 886988100 +378 655 4 880045553 +401 26 3 891033395 +71 151 1 877319446 +288 230 2 886629664 +350 176 4 882347653 +312 503 5 891699010 +339 469 5 891032633 +235 747 2 889655550 +323 248 3 878739519 +299 919 3 889501551 +381 97 4 892696960 +422 109 2 875130204 +109 849 2 880582384 +405 90 4 885547447 +289 471 4 876789373 +346 879 5 886273570 +314 377 3 877890982 +7 548 5 891352692 +145 79 5 875271838 +399 127 2 882346585 +58 257 5 884304430 +409 516 4 881109347 +405 1230 1 885547644 +99 628 4 885678813 +217 665 4 889070087 +411 651 4 891035278 +209 1137 4 883417491 +406 317 4 882480772 +346 158 2 875264945 +198 82 3 884209451 +313 98 4 891014444 +119 117 5 874775535 +162 254 3 877636476 +373 211 4 877099178 +181 150 1 878962465 +339 661 5 891033830 +292 535 3 881105031 +197 233 4 891409935 +303 430 4 879467260 +312 382 4 891699568 +371 663 5 880435238 +380 180 2 885478374 +95 432 3 879197886 +319 267 4 875707690 +363 546 3 891497440 +302 258 3 879436739 +283 50 5 879297134 +201 289 2 884111064 +312 474 5 891698454 +130 147 4 876250746 +117 214 5 881012193 +109 158 1 880579916 +268 568 3 875542174 +268 732 3 876514107 +141 1059 1 884584886 +276 169 5 874977555 +387 1008 4 886481183 +330 88 5 876546948 +67 833 4 875379794 +200 228 5 884128372 +279 489 2 888430298 +334 326 1 891544286 +301 864 4 882075110 +246 1222 3 884923372 +42 196 5 881107718 +279 25 5 875295736 +234 874 1 891227463 +305 655 4 886323937 +382 1534 4 875946830 +378 283 4 880044532 +230 181 4 880485066 +95 357 4 879198317 +399 22 3 882342834 +416 1188 3 886318953 +248 96 4 884534968 +97 174 4 884238817 +393 690 4 887742110 +320 33 4 884749385 +6 187 4 883600914 +1 103 1 878542845 +391 97 4 877399301 +246 151 5 884921727 +321 216 4 879441308 +393 1139 3 889729561 +269 614 3 891450471 +303 449 4 879485685 +264 345 4 886121516 +328 879 3 885044566 +59 866 3 888203865 +195 636 2 884504132 +280 942 5 891701431 +314 780 4 877890675 +85 154 4 879828777 +101 122 1 877136928 +122 464 5 879270541 +194 83 3 879521254 +405 206 1 885549589 +308 505 3 887737647 +315 340 4 881017170 +373 474 3 877098919 +126 682 1 887855034 +250 293 4 878089921 +314 772 1 877888212 +13 735 3 882140690 +201 597 2 884310149 +90 191 5 891384424 +393 789 1 887746015 +290 520 3 880473734 +385 168 3 879442109 +201 825 1 884112427 +323 215 5 878739988 +49 931 2 888068336 +293 1046 1 888907061 +195 823 4 881485704 +293 421 3 888906576 +413 124 5 879969734 +291 1210 4 875087656 +83 722 4 880308959 +417 147 4 879646225 +234 872 2 891033627 +125 87 5 892836464 +307 403 3 877122035 +188 127 4 875072799 +405 1531 1 885549094 +348 834 4 886523913 +344 1172 4 884901311 +373 704 2 877107100 +151 699 4 879525035 +16 28 5 877727122 +412 202 3 879717016 +248 290 3 884535582 +398 15 5 875651828 +410 882 3 888626612 +389 493 5 879991147 +290 1091 2 880475735 +312 656 5 891699156 +320 4 3 884749306 +274 117 4 878945264 +188 930 4 875074720 +83 692 4 880307979 +416 210 5 893213918 +327 258 1 887737355 +75 273 5 884050018 +347 871 4 881653300 +239 305 4 889178513 +129 258 2 883245452 +94 12 4 886008625 +342 220 1 874984455 +214 288 3 891542464 +321 484 5 879440244 +87 68 3 879876074 +200 1411 3 884130289 +416 43 1 886318186 +416 1035 3 892441480 +337 229 3 875185319 +5 400 1 878844630 +174 40 4 886514985 +189 513 4 893265865 +330 747 3 876546498 +366 218 3 888857866 +69 129 3 882072778 +268 715 1 875310603 +67 123 4 875379322 +178 15 5 882823858 +393 419 4 887746523 +193 689 2 890834966 +378 432 4 880331938 +405 695 1 885546287 +109 1028 4 880571831 +381 512 4 892696045 +388 184 4 886441083 +308 1421 4 887739212 +151 451 5 879542707 +409 59 5 881108455 +372 77 5 876869794 +276 408 5 874786467 +417 83 5 879648132 +328 79 4 885047194 +327 753 4 887745744 +189 639 4 893265893 +296 24 2 884196605 +117 313 5 886018980 +59 71 3 888205574 +285 455 4 890595726 +92 124 4 886440530 +296 179 4 884197419 +92 223 5 875653723 +11 573 3 891906327 +394 773 4 881060053 +298 185 3 884182774 +72 484 4 880037853 +44 378 3 878348290 +92 518 5 875653579 +94 969 4 891721026 +321 614 3 879440393 +144 197 4 888106106 +338 134 5 879438536 +79 13 3 891271676 +345 301 4 884900543 +374 147 3 880392747 +271 64 5 885848863 +11 277 5 891903226 +298 503 4 884183237 +279 541 3 882146458 +417 423 4 879647118 +44 96 4 878347633 +313 164 3 891014870 +224 294 4 888081976 +6 518 3 883603042 +334 421 4 891547307 +347 7 4 881652590 +150 147 4 878746442 +316 521 5 880854395 +321 89 3 879440716 +168 100 4 884287362 +290 436 2 880475469 +346 174 5 874948547 +1 118 3 875071927 +308 107 4 887741150 +92 678 2 875641428 +279 1110 3 875307379 +417 120 2 880949763 +412 175 4 879717286 +264 12 5 886122508 +113 246 5 875076872 +91 616 4 891439439 +321 647 3 879438699 +89 257 5 879461219 +249 222 4 879640306 +398 357 4 875657926 +263 162 5 891299630 +200 210 5 884128933 +417 578 3 879649610 +99 328 4 885678696 +181 1369 1 878962199 +385 408 5 879443065 +90 517 3 891384789 +197 161 4 891410039 +234 549 3 892335850 +318 414 4 884496008 +213 234 4 878955373 +177 22 4 880130847 +264 606 5 886122099 +393 500 4 887746523 +49 518 4 888069437 +102 144 3 888801360 +83 423 4 880308329 +363 217 2 891498286 +255 976 1 883217030 +89 283 4 879441557 +397 334 3 885349348 +416 1098 3 886316271 +222 71 4 878183173 +202 484 4 879727153 +13 483 5 882139774 +401 210 4 891032976 +288 178 5 886374342 +158 127 5 880132356 +85 523 4 879453965 +385 253 3 879439923 +151 482 4 879524345 +60 138 2 883327287 +405 92 1 885546287 +204 245 3 892391980 +21 245 1 874951006 +307 423 5 879283587 +222 15 3 877563437 +64 662 4 889739319 +327 197 4 887744023 +213 692 4 878955848 +91 234 5 891439503 +187 191 5 879465566 +257 949 3 880496958 +405 1176 3 885549942 +393 576 3 889729938 +405 639 1 885549635 +417 1044 3 879648939 +290 625 4 880475782 +270 872 5 876953827 +49 204 1 888068686 +308 133 3 887738225 +346 83 4 874949923 +145 470 5 875272299 +115 969 1 881172183 +214 461 4 892668249 +184 584 3 889909889 +312 588 5 891699490 +393 568 4 889554563 +328 211 4 885046276 +382 508 3 875946029 +223 111 4 891549792 +343 164 3 876404757 +146 346 4 891457591 +62 286 3 879372813 +29 343 3 882821673 +223 409 3 891549876 +342 558 5 874984341 +394 161 4 880888850 +181 1040 1 878962997 +349 823 4 879466156 +189 596 3 893264407 +145 574 2 888398833 +393 365 3 889729460 +311 125 4 884963179 +66 288 4 883601607 +268 928 1 875745536 +244 955 4 880606593 +189 135 4 893265535 +297 596 3 874955107 +330 427 5 876546920 +94 241 4 891721716 +314 395 2 877889770 +129 268 1 883245452 +314 68 4 877891637 +395 632 5 883764845 +271 95 4 885848916 +314 71 5 877888527 +251 427 4 886271675 +405 366 3 885545552 +7 626 5 892132773 +102 866 2 892993545 +145 100 5 875270458 +374 29 3 880939127 +282 305 4 879949347 +89 277 4 879441271 +393 363 3 887745086 +82 70 4 878769888 +405 470 1 885546247 +194 144 4 879547671 +257 301 3 879029620 +294 751 4 889241309 +214 132 5 892668153 +197 79 5 891409839 +82 1033 1 884714560 +276 94 2 882659602 +425 271 5 890346597 +183 227 4 891463592 +269 1168 2 891448386 +58 69 1 884663351 +56 993 3 892683353 +239 134 5 889179033 +308 168 4 887737593 +393 362 3 887741960 +254 140 4 887347350 +294 926 3 877819713 +276 74 3 884286759 +194 227 1 879535548 +276 566 4 874792601 +419 1451 4 879435722 +377 323 2 891297001 +284 324 3 885329468 +396 678 3 884645838 +305 83 3 886323464 +200 674 4 884130348 +125 781 3 892838463 +57 271 3 883696672 +23 222 4 876785704 +22 238 5 878886423 +279 236 5 875296813 +184 568 2 889909474 +44 433 4 878348752 +372 574 4 876869957 +379 655 5 888044628 +210 523 4 887730472 +293 632 3 888906464 +64 69 4 889739091 +409 201 1 881109019 +49 385 1 888069536 +283 125 5 879297347 +415 1524 5 879439791 +327 81 4 887818904 +65 435 4 879218025 +90 182 3 891383599 +397 325 3 882838853 +222 452 1 878184514 +361 466 4 879441285 +164 748 5 889401410 +151 433 3 879542510 +107 302 4 891264296 +325 835 5 891478099 +13 423 5 882398814 +158 222 3 880132771 +187 582 1 879465683 +42 172 5 881107220 +373 649 4 877098979 +344 660 3 884901235 +234 1455 2 892318158 +116 1257 1 876452651 +210 276 5 887731147 +328 356 3 885047763 +239 210 4 889179032 +372 325 4 876869330 +393 705 4 887746456 +183 273 4 892323452 +171 268 4 891034684 +297 24 4 874954260 +223 597 4 891549604 +49 878 2 888065825 +312 513 5 891698300 +184 805 3 889912232 +83 105 2 891182288 +199 948 1 883782655 +295 174 4 879517062 +314 819 4 877886971 +393 1314 3 889731561 +387 845 4 886484336 +101 237 5 877137015 +125 996 3 892838424 +422 671 4 879744143 +248 168 4 884534945 +311 523 5 884364694 +217 118 4 889070087 +405 1555 1 885549045 +406 213 2 879793179 +425 424 2 878738956 +137 117 5 881433015 +334 709 4 891548368 +379 211 5 880740437 +336 722 3 877757134 +311 208 4 884365104 +279 534 1 878971577 +145 298 1 885557579 +364 288 4 875931432 +227 475 4 879035252 +313 234 4 891013803 +185 223 4 883524249 +372 322 3 876869330 +326 265 4 879876489 +387 984 1 886484460 +387 436 4 886481737 +269 627 1 891451063 +399 128 3 882343293 +45 1 5 881013176 +125 864 3 892838591 +178 540 3 886678484 +18 224 5 880130739 +334 658 3 891547148 +181 277 1 878963441 +416 761 4 886318708 +316 180 4 880853654 +276 91 5 882659577 +168 222 5 884287759 +401 866 3 891032697 +425 748 3 890346567 +264 451 4 886123531 +406 523 3 879446062 +250 628 4 878090114 +110 195 2 886988480 +312 730 3 891699568 +400 259 3 885676490 +222 1059 1 883816150 +186 338 3 889818331 +92 288 3 878679005 +409 520 2 881107943 +344 213 4 884901351 +141 678 4 884584480 +216 234 4 880244870 +320 413 3 884749046 +201 319 2 884110967 +380 118 2 885480301 +27 515 4 891543009 +292 659 5 881105340 +306 269 5 876503792 +62 423 3 879373692 +49 108 2 888068957 +417 710 4 879647826 +112 316 5 892439693 +91 289 4 891438553 +342 952 3 874984619 +349 475 4 879466479 +423 744 4 891395655 +411 182 3 891035278 +194 25 2 879540807 +174 162 5 886514108 +181 948 1 878961474 +35 877 2 875459099 +312 1116 3 891698334 +399 436 2 882348478 +234 1454 3 892336257 +422 559 3 879744085 +87 491 5 879877930 +21 930 1 874951482 +322 313 5 887314417 +239 508 5 889178798 +269 414 3 891449624 +390 740 4 879694123 +425 191 3 878738186 +82 1028 2 876311577 +160 475 5 876767822 +270 684 4 876955938 +413 297 5 879969484 +422 922 4 875130173 +214 134 4 891544070 +401 284 3 891032453 +279 853 1 890451433 +313 1210 4 891032028 +125 275 5 879454532 +291 49 4 875086090 +365 1048 3 891304152 +409 214 4 881109216 +244 151 5 880604326 +276 379 3 874792745 +273 321 4 891293048 +411 209 4 891035550 +405 699 2 885546247 +47 292 4 879438984 +205 243 2 888284758 +268 825 3 875742893 +405 575 5 885547557 +87 186 5 879876734 +222 385 4 878183924 +393 781 4 889729159 +45 21 3 881014193 +18 126 5 880130680 +21 100 5 874951292 +92 164 4 875656201 +363 350 1 891493864 +393 783 3 889729561 +335 347 5 891567004 +43 684 4 883955702 +233 191 4 877665191 +94 61 5 891720761 +84 879 4 883449530 +387 432 4 886480353 +307 24 4 876176161 +13 482 5 882140355 +275 746 4 880314478 +405 422 1 885548836 +342 517 5 875320297 +184 72 3 889909988 +119 1197 4 886176922 +141 252 4 884585195 +198 509 4 884208710 +90 150 3 891385250 +8 687 1 879361825 +194 7 3 879538898 +268 189 4 875744966 +381 501 4 892697133 +378 1061 2 880044454 +222 252 2 877563934 +112 984 3 884992651 +303 763 4 879485319 +327 603 4 887745661 +332 1028 4 887938403 +399 946 3 882343172 +405 1353 1 885549745 +406 12 4 879445897 +26 410 2 891373086 +201 25 3 884114015 +247 1 4 893097024 +376 762 4 879459207 +338 483 4 879438092 +385 174 2 879924297 +317 271 3 891446575 +393 1441 3 889728554 +350 211 2 882347466 +422 184 4 879744085 +1 54 3 878543308 +407 217 4 875044400 +327 234 5 887745840 +400 895 4 885676452 +130 588 4 875216867 +278 173 5 891295360 +391 203 4 877399423 +250 240 4 878092171 +299 553 3 889502865 +91 313 4 891437978 +27 100 5 891543129 +393 366 4 889729345 +417 42 4 879647498 +234 732 2 892334713 +416 277 5 893212572 +406 701 5 879446269 +239 690 1 889178513 +90 131 5 891384066 +49 294 1 888065702 +318 15 5 884470944 +328 294 3 885044733 +253 64 5 891628252 +1 267 4 875692955 +232 515 2 880062413 +402 7 4 876267068 +311 1232 4 884366439 +7 482 3 891351083 +102 748 3 888800994 +286 574 4 877534137 +1 24 3 875071713 +100 323 3 891375359 +348 15 4 886523330 +234 693 2 892333980 +342 297 3 875318267 +295 88 4 879517964 +172 178 3 875538027 +201 642 4 884111485 +328 282 3 885047865 +415 154 4 879439865 +198 196 3 884208098 +99 413 3 885679299 +315 186 4 879821065 +64 72 4 889740056 +344 284 3 884899768 +222 895 4 883815361 +11 109 3 891903836 +173 880 4 877557168 +406 414 2 880131704 +56 122 2 892911494 +184 252 2 889907528 +405 1227 3 885546635 +398 417 3 875719399 +144 176 4 888105338 +287 28 5 875335018 +222 810 2 878184446 +109 949 3 880582384 +407 428 3 875553154 +239 100 3 889179131 +132 124 4 891278996 +94 1223 4 891721494 +83 468 4 880308390 +293 56 4 888905550 +363 1010 4 891496979 +230 182 2 880484370 +56 432 5 892737154 +249 186 4 879572516 +21 319 2 874950889 +334 742 2 891544972 +42 194 5 881107329 +42 496 5 881107718 +187 433 4 879465242 +24 216 4 875323745 +7 645 4 891353614 +125 732 4 879455019 +194 623 1 879551637 +417 159 4 879648656 +63 268 3 875746809 +301 99 4 882078419 +90 1048 4 891385132 +354 152 3 891306974 +277 25 4 879543902 +18 451 3 880131297 +276 386 3 877935306 +223 294 4 891548859 +264 1103 5 886123656 +172 1172 3 875538864 +308 729 3 887740254 +135 653 4 879857765 +10 495 4 877892160 +92 655 4 875654533 +417 12 4 879647275 +299 198 4 889501288 +373 318 5 877098222 +326 670 3 879877387 +234 234 4 892079475 +276 1129 4 874786876 +24 100 5 875323637 +306 150 5 876504286 +387 317 4 886483906 +102 827 2 888802722 +94 1226 4 891724081 +297 204 3 875239422 +193 127 5 890860351 +62 448 2 879375883 +125 493 4 879454448 +174 575 1 886515239 +313 161 4 891015319 +336 1054 1 877754876 +276 665 3 874792520 +378 419 4 880332643 +339 402 3 891034867 +268 1477 2 875742680 +92 276 5 875640251 +42 215 5 881107413 +379 496 5 892879481 +398 284 2 875654781 +372 581 5 876869794 +16 284 1 877719863 +407 616 3 875553018 +151 318 5 879524088 +325 188 2 891478944 +181 1367 2 878962086 +246 83 4 884921086 +294 246 4 889241864 +39 345 3 891400159 +25 239 4 885853415 +303 367 4 879468082 +273 303 4 891293048 +382 1229 5 875947240 +248 854 5 884534735 +425 227 4 878738597 +85 1169 4 879454952 +23 219 1 874788187 +347 324 1 881652230 +312 190 5 891698865 +343 435 4 876404343 +22 554 1 878888066 +268 433 4 876514107 +82 671 1 878769478 +62 181 4 879372418 +150 273 4 878746764 +385 480 5 879441313 +354 607 3 891218208 +7 190 5 891351728 +201 385 2 884112427 +383 86 5 891193210 +345 481 3 884916260 +429 73 3 882387505 +303 38 1 879484981 +297 1007 4 874954763 +90 312 4 891383319 +363 5 1 891497047 +178 326 4 888513095 +226 150 4 883889063 +16 174 5 877719504 +295 747 4 879518590 +28 646 4 881961003 +249 686 5 879641251 +301 333 4 882075454 +363 184 3 891494725 +271 384 3 885849582 +22 407 3 878886845 +329 181 4 891655741 +206 895 5 888179788 +30 531 5 885941156 +308 89 5 887738057 +358 132 5 891270652 +405 451 5 885547360 +5 80 2 875636511 +383 137 5 891192986 +15 929 1 879456168 +92 1033 2 890251592 +422 919 5 875130027 +379 651 4 880568511 +201 241 2 884112487 +399 1274 1 882350870 +64 95 4 889737691 +328 322 3 885044782 +393 1183 3 889731040 +72 180 4 880036579 +349 237 2 879466062 +347 568 4 881654339 +268 105 2 876513927 +416 226 4 886317030 +6 471 2 883599558 +3 272 2 889237055 +235 520 4 889655204 +316 22 4 880853849 +331 182 4 877196567 +120 245 3 889490633 +407 194 4 875115452 +279 59 4 875308843 +294 1016 4 877820189 +239 432 5 889180041 +327 408 2 887745910 +360 157 4 880355994 +13 268 4 881514810 +234 433 2 892079910 +23 238 5 874785526 +399 323 1 882340517 +378 699 4 880055564 +334 396 4 891549103 +417 67 4 880952837 +250 1137 5 878090066 +276 5 3 874792692 +145 42 5 882181785 +428 307 4 885944110 +314 220 4 877886279 +327 264 2 887743725 +69 321 4 882027133 +237 502 4 879376487 +280 465 3 891701148 +301 419 3 882076072 +215 443 4 891436566 +26 322 3 891349122 +92 101 2 875656624 +374 28 5 880395698 +145 51 3 875272786 +168 15 5 884287362 +87 382 3 879876488 +24 475 4 875246216 +221 940 4 875246482 +224 318 5 888082584 +311 62 3 884365929 +412 427 4 879717016 +345 51 5 884993744 +176 948 4 886047595 +94 193 5 891720498 +328 85 1 886038183 +351 292 4 879481550 +412 92 3 879717449 +156 197 5 888185777 +399 94 5 882349022 +206 315 5 888180018 +334 577 2 891550372 +417 658 2 879647947 +200 580 2 884130114 +294 322 1 889243393 +177 172 5 880130990 +332 144 5 887939092 +248 194 4 884534672 +197 1228 4 891410124 +94 1004 3 891723593 +210 751 4 890059441 +416 1147 4 888702100 +318 796 3 884496500 +110 233 4 886988535 +130 255 4 874953794 +339 509 4 891033140 +379 855 4 880961506 +378 194 4 880046100 +313 29 2 891028472 +94 334 3 891725440 +115 496 1 881171203 +295 389 4 879518298 +374 450 4 880938370 +192 1137 4 881367705 +178 1300 3 886678518 +53 748 2 879443329 +345 739 4 884993016 +187 1119 3 879465683 +56 715 1 892911247 +201 321 3 884111029 +201 551 1 884114770 +374 692 5 882158641 +357 405 5 878951784 +62 20 4 879372696 +299 13 4 877877965 +345 269 5 884900466 +10 195 4 877889130 +130 168 3 875216786 +387 854 5 886481686 +290 133 3 880473735 +150 235 4 878746792 +149 321 2 883512856 +87 192 3 879877741 +200 276 5 876041895 +217 38 3 889070266 +393 2 4 887746206 +10 521 4 877892110 +379 216 4 880525926 +393 215 4 887745912 +328 504 3 885046420 +378 696 3 880045044 +212 427 4 879303795 +318 815 3 884494938 +311 315 5 884364108 +429 64 4 882384744 +345 405 4 884991285 +57 222 5 883698581 +6 248 3 883598981 +120 286 5 889489943 +311 1046 3 884366307 +293 366 2 888907981 +276 686 3 874792547 +268 484 4 876513831 +222 471 3 881060992 +393 792 1 889729346 +416 234 5 893213644 +389 662 3 880613750 +46 7 4 883616155 +280 387 4 891701974 +43 181 4 875975211 +230 144 3 880484850 +95 232 4 879196513 +308 197 3 887736743 +183 222 4 892323453 +13 402 4 886303934 +39 306 3 891400342 +393 110 2 889730117 +336 1017 5 877757063 +42 742 4 881105581 +201 1163 1 884140382 +76 385 2 882607017 +394 450 3 881132958 +116 344 5 892683820 +59 82 5 888205660 +128 949 4 879968896 +59 1118 2 888206048 +299 1073 4 879123070 +416 56 5 893212929 +427 938 5 879701253 +239 195 5 889180747 +38 916 5 892428188 +302 299 2 879436932 +18 162 4 880131326 +303 436 4 879484644 +193 155 4 889126376 +279 841 4 879572893 +193 443 4 889126610 +59 18 4 888203313 +401 137 3 891032316 +393 1165 3 889730514 +224 549 3 888103971 +402 127 5 876267014 +92 66 3 875812279 +84 385 4 883453797 +7 264 4 891350703 +347 96 4 881653775 +263 495 5 891298977 +356 300 3 891405978 +128 50 4 879967268 +317 331 4 891446190 +416 134 4 878879619 +123 487 3 879872192 +393 779 3 889729673 +177 338 3 882142221 +398 70 4 875717315 +257 224 4 879029717 +7 681 1 891350594 +32 245 2 883710047 +389 217 3 880088774 +318 1521 3 884497824 +16 606 4 877721071 +385 156 4 881308434 +95 747 5 880573288 +291 1219 4 875087221 +339 845 4 891034718 +203 248 5 880434496 +110 68 2 886988631 +56 451 3 892676970 +64 58 3 889739625 +70 432 3 884067175 +76 772 3 875498117 +58 923 5 884305062 +363 685 4 891496979 +390 181 4 879694198 +354 428 4 891217298 +1 86 5 878543541 +49 39 2 888068194 +380 527 4 885479212 +261 892 5 890455190 +102 181 2 888801406 +130 173 3 875216593 +181 1174 1 878962200 +363 152 5 891494906 +387 943 4 886483357 +198 182 4 884207946 +409 518 1 881109347 +204 1 2 892513979 +21 328 3 874951005 +339 1248 3 891034538 +186 717 3 879023242 +429 86 5 882384579 +365 150 5 891303950 +406 195 5 882480710 +60 161 4 883327265 +379 300 3 890464279 +380 64 3 885481179 +417 552 2 880952066 +72 479 4 880037881 +412 436 4 879717649 +269 763 1 891450555 +381 473 5 892697150 +391 474 5 877399171 +49 998 2 888069194 +348 313 5 886522495 +5 433 5 875636655 +329 655 4 891656237 +357 287 4 878952265 +427 682 5 879701325 +200 50 5 884128400 +338 174 4 879438392 +87 254 4 879876256 +194 616 3 879523243 +109 1157 4 880583646 +94 425 5 885870665 +308 72 4 887740451 +295 133 4 879517432 +334 168 5 891546914 +115 93 3 881170332 +158 183 3 880134332 +256 227 4 882164603 +23 546 3 874784668 +276 588 4 874792907 +13 420 4 882398691 +43 568 4 883955363 +397 1298 3 885350543 +418 362 1 891282765 +279 233 5 875312745 +427 341 5 879701253 +379 54 2 880526100 +399 168 3 882342776 +58 50 4 884304328 +399 114 4 882341974 +398 661 3 875719399 +193 259 2 889123351 +70 109 3 884066514 +381 83 4 892695996 +184 174 3 889908693 +269 665 1 891451810 +363 505 3 891495238 +44 216 1 883613297 +7 622 4 891352984 +106 313 4 888706075 +366 164 5 888857932 +18 70 4 880129668 +254 699 3 886473120 +201 123 2 884114233 +7 161 3 891352489 +423 237 4 891395448 +44 357 4 878347569 +423 315 4 891395141 +14 116 5 876965165 +7 428 5 892133036 +247 151 4 893081396 +309 242 4 877370319 +255 98 5 883216449 +354 659 4 891217221 +7 288 4 891350703 +85 209 4 879454500 +314 1136 5 877890463 +104 827 2 888466086 +116 264 3 876452186 +373 566 4 877105809 +92 93 4 886444049 +374 121 4 880393095 +92 963 5 875652981 +344 176 5 884814507 +387 1538 3 886481151 +83 94 4 880308831 +286 778 5 877534025 +383 513 5 891193016 +316 463 5 880854267 +73 1073 4 888625753 +54 50 5 880931687 +417 196 5 879647090 +299 294 2 877618584 +327 381 4 887819354 +181 1336 1 878963241 +10 13 3 877892050 +28 423 2 881956564 +347 699 1 881654480 +157 93 3 886890692 +116 582 3 876453626 +184 447 3 889910653 +287 276 4 875334126 +311 50 5 884365075 +361 203 5 879441285 +177 198 4 880131161 +18 479 4 880129769 +363 188 4 891495711 +271 237 4 885847763 +381 498 5 892696252 +287 117 5 875334405 +368 218 2 889783453 +346 143 3 874948332 +178 431 4 882827400 +21 688 1 874950972 +35 680 4 875459099 +85 1009 2 879453093 +385 114 5 879441942 +49 70 2 888066614 +309 306 2 877370356 +1 196 5 874965677 +276 196 4 889174849 +246 195 3 884921138 +119 254 2 874781037 +197 174 5 891409798 +393 420 3 889728074 +385 1129 5 879440236 +314 764 3 877886816 +399 578 2 882348722 +92 89 5 875652981 +289 926 3 876790611 +94 448 5 891722939 +295 42 3 879517467 +249 1103 5 879572256 +297 742 3 875774155 +305 289 4 886308064 +128 1063 2 879967047 +393 554 4 889729486 +326 564 3 879877470 +314 948 3 877886029 +246 585 1 884923811 +287 291 5 888177402 +59 109 4 888203175 +365 289 3 891303694 +401 462 4 891033684 +280 1401 5 891700881 +270 402 5 876955770 +363 940 2 891498920 +200 652 2 884127370 +13 805 4 882141458 +331 242 4 877196089 +222 200 3 878181647 +362 268 2 885019435 +338 792 4 879438196 +345 15 4 884991220 +164 276 3 889401771 +286 710 4 889651672 +95 7 5 879197329 +22 878 1 878887598 +387 152 1 886479690 +201 1169 4 884141053 +145 212 2 875272786 +290 144 3 880473802 +373 31 3 877100199 +417 135 3 879647826 +416 304 5 893214225 +290 699 3 880473735 +38 140 5 892430309 +295 159 4 879518107 +275 930 3 876197904 +64 451 2 889739490 +367 201 5 876689991 +330 277 4 876544690 +328 223 4 885045645 +16 134 4 877719158 +145 265 5 875272131 +233 31 3 880610814 +244 559 4 880607154 +320 739 4 884750992 +178 294 2 882823301 +347 294 1 881652142 +250 474 5 878089964 +181 1344 1 878962240 +363 387 1 891497639 +283 95 5 879297965 +56 168 2 892679209 +416 417 3 886317568 +98 116 5 880499053 +246 230 3 884922070 +21 473 3 874951245 +199 475 5 883782918 +293 1217 1 888907913 +376 14 4 879454914 +361 100 5 879440386 +293 1011 3 888905146 +130 798 1 878537631 +43 11 5 875981365 +262 709 5 879795122 +289 147 3 876789581 +95 69 5 879198210 +407 755 3 875553509 +328 531 4 885046455 +330 393 4 876547004 +293 347 2 888904353 +409 680 1 881105677 +286 290 3 876522072 +417 208 3 879648026 +394 232 4 880889374 +144 273 4 888104213 +393 728 3 889730209 +76 286 5 875027206 +305 207 5 886323839 +56 44 4 892679356 +22 455 5 878886479 +417 1023 4 880949479 +18 13 5 880131497 +234 276 3 891228196 +264 602 4 886122194 +379 133 4 881000300 +181 1392 1 878961749 +252 740 3 891456738 +296 240 1 884196765 +141 1142 1 884584688 +334 300 3 891544209 +60 558 4 883326784 +110 751 3 886987183 +346 1018 3 874950536 +272 521 5 879454977 +399 230 3 882344512 +275 118 3 876197678 +320 692 4 884750968 +209 766 4 883460644 +244 926 2 880609193 +417 631 3 879647826 +345 1014 3 884994643 +417 747 3 879648325 +407 466 3 876339101 +344 304 3 884814359 +222 409 3 881061213 +11 241 4 891906389 +318 140 4 884496738 +358 357 4 891270405 +385 1135 1 879448181 +40 294 4 889041671 +417 235 2 879646413 +7 72 5 891353977 +64 96 4 889737748 +378 258 4 882712421 +318 211 5 884496432 +102 840 2 888802508 +276 816 2 874792793 +42 977 2 881106541 +23 70 2 874786513 +20 121 3 879668227 +345 77 3 884993555 +21 242 3 874951617 +389 478 5 879991264 +250 135 5 878091915 +393 83 4 887746523 +254 419 4 886472231 +75 824 1 884051056 +429 1222 3 882387074 +420 19 3 891356927 +276 206 5 874795988 +234 7 2 891227813 +79 262 5 891271203 +308 385 4 887740099 +104 1011 3 888465201 +308 124 4 887737647 +200 147 5 876042451 +256 925 5 882151017 +222 1419 1 878184947 +429 495 3 882385358 +385 194 3 879441538 +207 322 3 879001724 +63 508 4 875747752 +344 303 4 884814359 +49 386 4 888069222 +151 605 4 879528909 +416 738 2 886319825 +321 663 2 879439537 +32 235 3 883718121 +128 265 5 879968663 +330 193 5 876547004 +269 346 2 891445757 +153 216 2 881371032 +316 318 5 880853516 +325 357 4 891477957 +1 39 4 875072173 +20 252 4 879669697 +95 651 5 879196594 +272 201 3 879455113 +349 412 1 879466366 +407 642 2 875045627 +335 271 4 891567029 +125 357 3 879454100 +256 125 5 882150552 +184 11 3 889908694 +307 474 5 879283787 +76 200 5 882606216 +405 1188 3 885547506 +262 755 3 879794446 +30 301 4 875988577 +94 961 4 891721317 +106 48 3 881453290 +13 414 5 882141458 +343 97 4 876405893 +313 498 5 891015144 +10 183 5 877893020 +234 421 1 892334852 +33 751 4 891964188 +7 389 4 891354090 +189 479 5 893265123 +305 921 5 886324410 +405 1207 1 885548686 +59 98 5 888204349 +354 603 5 891217082 +70 338 2 884065248 +3 354 3 889237004 +363 1228 2 891498720 +311 387 4 884365654 +268 665 2 875310745 +405 230 2 885547953 +57 597 3 883697378 +343 475 5 876402668 +354 664 5 891217717 +94 723 3 891721851 +297 95 3 875238814 +59 200 5 888205370 +244 1048 4 880606567 +57 199 5 883698646 +11 524 4 891904949 +104 150 5 888465225 +58 1102 1 892242891 +92 403 4 875654189 +406 662 3 882480481 +13 772 1 882140070 +417 64 5 879647326 +123 707 5 879809943 +387 227 4 886483195 +422 854 4 879744014 +405 62 1 885547996 +98 745 3 880498935 +206 1313 1 888179981 +332 326 5 892484951 +253 496 5 891628278 +309 300 3 877370288 +285 682 4 890595524 +401 654 3 891033184 +385 462 2 881135090 +383 14 5 891192836 +234 15 3 892079538 +346 785 3 875263077 +320 129 4 884748661 +123 704 3 879873120 +106 194 5 881450758 +213 121 5 878870940 +378 939 4 880332307 +405 771 1 885548162 +417 403 4 879649224 +248 678 3 884534419 +280 1060 3 891701278 +404 327 2 883790366 +405 1247 1 885546681 +59 39 4 888205033 +13 812 2 882398933 +272 469 5 879455143 +169 705 5 891359354 +378 723 3 880055396 +314 1089 1 877887356 +44 193 3 878348521 +15 889 3 879455473 +404 748 4 883790430 +160 564 3 876861799 +416 532 3 888700659 +104 312 3 888442485 +303 384 3 879485165 +331 81 5 877196702 +108 10 5 879879834 +416 220 4 878879168 +314 1517 4 877891937 +2 301 4 888550631 +271 1 3 886106038 +75 410 5 884050661 +405 188 1 885547996 +344 511 4 884901311 +64 12 5 889738085 +297 128 4 875239346 +314 7 4 877886375 +135 12 4 879857764 +94 223 5 891721286 +23 512 5 874785843 +354 344 5 891180445 +316 14 4 880853881 +276 333 4 877584220 +398 991 2 875651527 +326 554 3 879877005 +156 22 3 888186093 +262 332 3 879961438 +360 181 4 880355353 +408 683 3 889679982 +295 414 4 879517157 +151 1101 4 879524586 +401 198 4 891033370 +234 186 3 892078567 +402 126 4 876266741 +338 606 3 879438275 +312 136 5 891698613 +343 214 4 876406604 +1 164 3 876893171 +405 578 1 885548093 +330 71 5 876546236 +343 132 5 876404880 +82 482 4 878769668 +249 218 3 879641322 +318 326 4 884470149 +424 1346 4 880859519 +323 764 3 878739415 +343 498 5 876408138 +331 180 5 877196567 +297 108 4 874955085 +311 134 5 884364502 +141 120 4 884585547 +393 222 4 887744239 +275 144 4 880314137 +221 154 3 875245907 +249 591 5 879572890 +249 9 5 879572402 +181 1377 1 878962496 +429 511 5 882385542 +338 306 4 879437548 +58 483 5 884305220 +274 88 4 878946677 +16 602 5 877719333 +102 635 2 888803148 +162 597 4 877636370 +87 8 5 879876447 +280 69 4 891700242 +393 378 4 887746824 +346 94 3 875263845 +399 817 4 882509927 +274 111 4 878945541 +94 715 4 891722278 +101 123 2 877136186 +92 722 3 875907596 +211 455 3 879461498 +194 99 3 879524643 +28 89 4 881961104 +290 826 2 880732271 +327 421 2 887745840 +360 13 3 880354315 +339 525 5 891032737 +354 529 4 891217610 +251 476 2 886272407 +385 293 3 879439728 +56 747 4 892677162 +13 564 1 882396913 +432 222 4 889416012 +256 1061 4 882153321 +177 168 4 880130807 +92 144 4 875810741 +161 1266 2 891170745 +22 358 5 878887443 +111 333 4 891680028 +18 775 3 880131878 +421 474 4 892241389 +435 780 2 884133284 +286 1202 3 876522185 +8 210 4 879362287 +200 576 4 884130415 +58 150 4 884304570 +14 517 4 890881485 +307 197 4 877122115 +249 212 4 879572890 +7 334 5 892130784 +424 25 4 880859723 +429 628 3 882385808 +59 367 4 888204597 +267 227 3 878973088 +230 357 5 880484391 +73 81 5 888626415 +277 872 3 879543768 +151 1017 2 879542939 +8 258 5 879361482 +269 505 3 891449551 +91 318 5 891439090 +296 45 5 884197419 +401 603 4 891033497 +244 161 4 880607990 +126 752 3 887855342 +339 194 4 891037070 +222 302 3 877562748 +176 750 4 886047176 +228 327 1 889387216 +308 100 5 887736797 +119 616 2 886177206 +90 518 2 891385787 +401 385 3 891033603 +387 431 3 886483150 +328 157 5 885046344 +194 127 5 879520813 +246 117 3 884921767 +22 208 5 878886607 +257 1008 5 882050187 +375 566 4 886621985 +94 496 3 885873159 +190 1313 2 891033445 +354 199 4 891217130 +210 953 3 887737488 +6 511 5 883601393 +281 258 2 881200457 +174 415 3 886515591 +5 219 3 875720744 +405 1563 1 885549635 +145 266 3 877343000 +416 49 4 893142283 +327 89 4 887744167 +115 1008 5 881171982 +398 216 5 875723337 +378 418 3 880331938 +385 485 4 879446591 +178 228 5 882826556 +168 819 4 884288270 +109 762 3 880571831 +354 87 3 891217482 +416 866 4 878879130 +425 39 4 878738335 +374 265 5 880937779 +339 1113 4 891033829 +339 76 3 891034254 +41 1 4 890692860 +13 519 5 882140355 +305 550 3 886325023 +399 774 3 882345053 +418 313 3 891282680 +406 745 4 880131550 +299 143 3 877880612 +92 1014 3 890251484 +26 333 3 891348192 +344 237 3 884900353 +334 792 4 891546257 +287 201 5 875334962 +378 48 5 880056701 +91 134 4 891439353 +416 32 2 888702297 +303 551 2 879544021 +138 185 4 879023853 +363 128 5 891495371 +429 45 3 882385118 +393 196 4 887746015 +387 1014 3 886480789 +256 779 4 882164644 +104 147 3 888466002 +303 218 4 879484695 +2 313 5 888552084 +85 530 3 879456350 +264 238 5 886122031 +241 313 4 887249795 +343 269 4 876402390 +395 174 5 883763561 +200 660 3 884129209 +260 362 5 890618729 +52 427 5 882922833 +235 65 2 889655723 +159 756 4 880557464 +389 518 4 880087073 +320 7 4 884748708 +392 286 2 891037385 +18 318 5 880132437 +318 312 4 884470193 +315 187 4 879799423 +85 417 3 882995859 +125 69 4 879454628 +308 129 5 887736925 +391 924 2 877400116 +284 300 3 885329395 +286 640 5 877531830 +393 1091 2 889731840 +239 492 3 889180411 +297 183 4 875238984 +223 846 2 891550193 +180 423 4 877355568 +189 134 5 893265239 +58 198 3 884305123 +130 288 5 874953291 +95 402 3 880571389 +2 279 4 888551745 +345 25 3 884991384 +425 185 2 878738853 +38 419 5 892429347 +28 450 1 881961394 +397 894 1 882838796 +145 270 5 879161577 +216 405 3 880232970 +429 1016 4 882386217 +297 231 3 875239913 +162 710 4 877636860 +58 955 4 884305062 +151 1264 4 879542389 +38 1034 1 892433062 +276 559 4 874792663 +79 150 3 891271652 +361 517 5 879440386 +293 54 3 888907210 +398 204 4 875716013 +6 284 2 883599590 +416 404 3 886316190 +159 411 3 880557677 +328 432 1 885047511 +421 443 5 892241459 +197 226 4 891410038 +109 157 4 880577961 +204 336 1 892391854 +23 269 5 877817151 +284 332 3 885329593 +391 1101 4 877399423 +350 589 5 882346986 +429 735 4 882387757 +398 31 3 875658967 +311 493 4 884364465 +6 304 4 883268322 +416 721 3 886317540 +262 581 3 879794667 +406 612 5 879446718 +181 9 4 878962675 +416 895 4 885114446 +267 273 4 878970503 +346 121 4 874948703 +96 50 5 884402977 +94 1028 2 891723395 +226 1117 3 883890262 +286 155 4 877533640 +398 228 5 875657926 +374 280 3 880393811 +16 9 5 877722736 +177 433 4 880131123 +263 423 5 891299630 +411 1470 3 892845746 +58 318 3 884305087 +432 295 3 889416352 +94 175 4 885870613 +234 747 3 892334578 +59 218 5 888206409 +402 234 4 876266826 +417 588 3 879647540 +13 875 1 881515613 +299 522 3 877880522 +213 174 5 878955848 +421 156 5 892241458 +268 98 4 875309583 +263 269 4 891296842 +267 240 4 878970503 +194 94 3 879528000 +88 904 5 891037276 +406 1047 3 879540358 +366 443 5 888857866 +213 568 4 878955941 +345 535 3 884994136 +409 202 3 881109347 +311 168 4 884365406 +243 196 4 879988298 +4 50 5 892003526 +82 222 3 876311365 +424 261 3 880859115 +8 127 5 879362123 +327 588 4 887820761 +416 770 4 878880154 +87 238 3 879876734 +297 471 3 874954611 +405 350 1 885549903 +1 230 4 878542420 +392 98 5 891038979 +240 336 3 885775745 +269 254 1 891456565 +283 1487 2 879297867 +393 233 3 889730460 +433 302 5 880585028 +405 1046 2 885548633 +428 690 5 885943651 +363 402 2 891498365 +200 597 4 876042824 +391 195 2 877399618 +43 692 5 883955884 +330 133 5 876545625 +405 432 3 885548785 +327 735 2 887818540 +198 65 2 884208241 +130 111 5 874953825 +343 48 3 876405697 +371 174 4 877487751 +393 328 5 887742798 +373 97 3 877099178 +280 735 2 891700475 +102 385 3 888801577 +104 245 2 888442404 +338 582 5 879438419 +83 977 3 880307382 +15 591 2 879455821 +171 306 3 891034606 +276 135 5 874787441 +234 287 3 891228196 +243 317 5 879989217 +398 501 3 875658898 +145 983 1 879161805 +301 357 5 882075994 +8 188 5 879362356 +393 71 3 889554977 +58 123 4 884650140 +397 56 5 882839517 +18 609 4 880130713 +315 746 3 879821120 +344 208 5 884901290 +426 480 5 879444473 +435 240 3 884133818 +393 94 4 889731465 +79 251 5 891271545 +83 568 4 880307724 +153 323 2 881370900 +343 62 2 876406707 +321 515 5 879440109 +349 9 4 879465477 +398 276 4 875652760 +59 521 5 888204877 +72 87 4 880036638 +417 436 3 879648478 +13 377 1 882399219 +432 620 4 889416352 +399 550 3 882345120 +339 153 4 891033932 +303 1188 4 879485204 +405 775 1 885547735 +298 178 5 884127369 +359 24 3 886453354 +286 766 3 877533724 +250 321 5 878089099 +200 542 3 884130592 +189 194 5 893265428 +336 216 5 877757858 +325 493 4 891477905 +354 174 4 891218068 +262 588 4 879793075 +232 14 4 880062574 +145 631 4 885557626 +139 307 4 879537876 +94 550 1 891723033 +159 117 5 880486047 +274 1 4 878945466 +325 313 2 891477489 +436 238 3 887769693 +21 448 4 874951727 +262 140 2 879794635 +435 299 4 884130671 +194 504 2 879523785 +11 22 4 891904241 +417 742 2 879646531 +138 357 4 879024327 +95 178 5 879197652 +244 1054 3 880609089 +36 310 4 882157327 +340 423 4 884990583 +251 295 4 886272249 +249 300 4 879571489 +234 782 3 892335372 +326 172 4 879875431 +244 255 2 880604077 +343 382 3 876406978 +200 123 4 884127568 +154 89 5 879138910 +104 354 3 888442202 +425 318 2 878737841 +393 49 4 889729674 +95 181 4 879193353 +274 150 5 878944679 +347 1059 3 881652813 +271 310 3 885844430 +234 236 3 892079336 +347 298 5 881652590 +89 14 4 879441357 +195 1418 4 891762646 +406 482 5 879446588 +430 10 4 877225726 +336 1218 3 877757790 +359 270 4 886453467 +184 382 5 889909691 +291 619 3 874805927 +396 274 4 884646263 +10 132 5 877893020 +276 551 3 874792767 +222 662 3 878182813 +308 147 3 887739831 +373 206 4 877104284 +74 129 3 888333458 +64 199 4 889737654 +62 541 3 879376535 +217 827 2 889070232 +342 92 4 875320227 +87 576 3 879876163 +215 186 4 891435731 +322 489 3 887313892 +416 294 4 876696739 +401 294 1 891031621 +290 172 5 880474141 +234 1048 3 892335501 +115 181 4 881172049 +243 69 3 879988298 +363 155 2 891497712 +82 357 4 878769888 +189 174 5 893265160 +94 1153 4 891721777 +417 684 3 879647380 +426 603 5 879444472 +1 36 2 875073180 +183 485 5 892323452 +23 189 5 874785985 +320 849 4 884749360 +13 340 2 881514684 +422 325 2 875129692 +405 650 1 885546336 +184 250 4 889907482 +254 621 3 886474807 +264 230 4 886122644 +92 154 4 875657681 +255 444 3 883216599 +21 294 3 874951616 +347 1028 2 881653087 +168 281 2 884288033 +276 186 5 874792018 +344 1050 3 884901290 +406 675 4 879792897 +402 151 5 876266984 +387 116 3 886480206 +345 332 1 884901497 +334 631 4 891547467 +76 1156 3 879576233 +398 654 4 875726730 +157 293 5 874813703 +18 523 4 880130393 +280 780 4 891701897 +123 480 3 879872540 +387 418 3 886483669 +181 1165 1 878962496 +401 50 1 891034050 +11 455 3 891903862 +174 204 4 886452552 +193 1406 4 889123926 +393 1221 3 889554834 +137 257 5 881433048 +276 118 3 874786964 +361 739 4 879441075 +269 1438 3 891448522 +429 1119 3 882387653 +342 129 5 874984684 +378 321 3 880317293 +203 250 4 880434495 +250 89 4 878092144 +347 55 5 881653603 +399 173 3 882349928 +269 447 3 891451303 +405 1316 1 885549942 +370 659 4 879435033 +381 304 5 892697982 +333 276 4 891045031 +152 22 5 882828490 +402 479 5 876267206 +400 689 3 885676316 +116 903 2 890632956 +270 1210 5 876956264 +177 475 4 880130898 +13 185 3 881515011 +323 56 5 878739771 +393 737 2 889730261 +308 461 4 887737535 +128 98 4 879967047 +223 826 1 891550404 +432 742 4 889415983 +151 633 5 879528801 +221 1134 4 875244289 +189 638 5 893265380 +128 1039 4 879967079 +118 164 5 875385386 +284 340 4 885328991 +324 258 4 880575107 +18 135 3 880130065 +383 313 2 891192158 +398 191 4 875721348 +256 402 4 882165269 +221 685 3 875244766 +417 1036 3 879649484 +301 269 5 882075432 +207 433 3 878104569 +117 222 5 886020290 +184 57 5 889908539 +35 322 3 875459017 +158 216 3 880134948 +434 1060 3 886724733 +7 495 5 891351328 +216 1035 1 880245238 +85 509 4 879454189 +354 435 4 891218024 +393 672 3 889729614 +14 23 5 890881216 +181 1360 1 878962119 +325 435 3 891478239 +54 475 5 880937251 +299 546 3 877879980 +301 300 4 882075500 +118 32 5 875384979 +263 483 5 891298336 +338 100 4 879438196 +409 995 4 881105366 +435 380 3 884133026 +125 722 3 892838687 +294 245 3 877818982 +90 287 4 891384611 +345 550 3 884993784 +189 9 3 893263994 +18 241 3 880131525 +256 1086 5 882150943 +94 581 4 891722249 +398 64 4 875660439 +92 203 4 875653699 +100 348 3 891375630 +347 392 2 881654592 +409 270 2 881104916 +344 559 3 884901351 +369 114 5 889428642 +200 363 3 876042753 +417 1135 4 880951717 +389 404 5 880087200 +101 1093 1 877136360 +95 1219 1 888956489 +380 428 3 885480320 +10 420 4 877892438 +283 676 3 879297867 +63 924 3 875748164 +252 100 5 891456797 +330 763 5 876544337 +130 756 4 874953866 +34 332 5 888602742 +219 935 3 889387237 +437 165 4 881002324 +386 546 2 877655195 +7 520 5 892133466 +314 682 5 877885836 +436 161 4 887771897 +183 331 3 892322382 +1 23 4 875072895 +432 111 4 889416456 +162 943 4 877636604 +211 303 3 879437184 +301 276 1 882074384 +426 493 4 879444473 +2 299 4 888550774 +286 732 5 877531899 +298 203 3 884182966 +362 288 4 885019304 +372 448 4 876869445 +418 301 2 891282738 +254 612 3 886471959 +426 504 4 879442083 +393 403 3 889727503 +268 168 4 875310384 +344 183 5 884814507 +405 1275 1 885548632 +90 705 5 891384147 +92 226 3 875813412 +318 657 5 884495696 +64 509 3 889737478 +405 361 2 885549942 +92 328 3 888469687 +201 184 3 884112245 +188 66 3 875075118 +186 118 2 879023242 +428 340 4 885943749 +339 961 3 891034778 +334 268 4 891544102 +429 371 2 882387715 +405 551 1 885548475 +361 179 4 879440545 +62 328 3 879371909 +405 1113 1 885546680 +370 493 5 879434886 +342 287 3 874984619 +307 114 5 879283169 +303 167 3 879468307 +92 62 3 875660468 +334 313 4 891544077 +409 1021 4 881168603 +14 168 4 879119497 +416 475 2 876697074 +303 685 1 879485089 +125 496 5 879454419 +419 705 5 879435663 +13 217 1 882396955 +128 99 4 879967840 +258 243 3 885701024 +337 450 2 875185319 +267 780 4 878973250 +313 849 3 891028360 +194 210 3 879521396 +331 215 3 877196383 +59 699 4 888205370 +342 975 2 875318509 +52 235 2 882922806 +374 475 1 880393191 +324 300 5 880574827 +286 792 3 877532230 +30 231 2 875061066 +158 116 5 880132383 +367 326 4 876689502 +197 316 4 891409535 +94 135 4 885870231 +327 179 2 887820493 +374 576 3 880939186 +269 427 5 891447960 +237 603 5 879376773 +428 316 4 892572382 +222 1 4 877563227 +334 132 3 891546231 +198 631 3 884208624 +299 655 3 889502979 +361 762 2 879440774 +360 127 5 880354149 +256 834 3 882163956 +93 235 4 888705939 +405 1109 1 885548632 +313 441 3 891029964 +14 596 3 879119311 +234 1298 3 892079373 +1 224 5 875071484 +263 265 4 891299815 +199 687 1 883782655 +119 995 4 891287008 +421 124 4 892241344 +48 286 3 879434181 +52 93 4 882922357 +251 1028 3 886272585 +320 369 4 884749097 +280 715 2 891700945 +297 129 4 874954353 +229 302 5 891633028 +380 630 2 885478780 +385 500 4 879443352 +399 768 3 882350401 +52 275 4 882922328 +8 651 5 879362123 +387 1143 5 886480623 +56 258 4 892675999 +10 712 4 877892438 +125 926 3 892839066 +275 101 4 875154535 +416 427 5 893213019 +43 272 5 883953545 +221 173 4 875245406 +404 892 2 883790550 +84 194 5 883453617 +181 424 1 878962240 +299 710 4 877881508 +85 192 4 879454951 +417 979 3 879646437 +49 346 4 888065527 +417 1209 3 879649368 +206 891 2 888180049 +71 65 5 885016961 +103 96 4 880422009 +385 128 5 879442235 +374 234 4 880396256 +354 629 3 891217659 +438 476 5 879868664 +373 732 3 877104048 +437 1121 5 880140466 +305 7 4 886323937 +385 965 4 879445779 +70 762 3 884066399 +291 769 1 875087673 +188 161 3 875073048 +299 662 4 878192429 +194 259 2 879520306 +279 465 5 875310157 +271 549 4 885849231 +262 358 3 879961513 +13 651 5 882140070 +222 719 1 881060578 +222 658 3 881059678 +174 67 1 886515130 +180 173 5 877128388 +405 785 1 885547407 +416 178 5 893213918 +13 24 1 882397741 +280 234 3 891700803 +334 1006 3 891549860 +167 290 3 892737936 +28 223 5 882826496 +200 432 5 884128458 +267 393 3 878973483 +90 148 2 891385787 +141 410 4 884585195 +10 186 4 877886722 +189 16 3 893264335 +416 768 3 893210187 +139 222 3 879538199 +375 39 3 886622024 +345 291 3 884991476 +389 736 5 880088229 +299 173 5 889501163 +389 778 4 880088995 +72 550 4 880037334 +378 100 4 880044198 +178 495 4 882827870 +125 83 4 879454345 +255 323 2 883215723 +244 456 3 880605333 +437 708 4 881002026 +292 168 5 881105318 +416 327 4 876696853 +154 143 3 879139003 +312 114 5 891698793 +405 581 3 885546530 +119 455 4 874774719 +201 1220 2 884140975 +7 579 4 892133361 +215 449 4 891436469 +60 507 4 883326301 +343 147 4 876402814 +15 1 1 879455635 +162 1012 4 877635965 +185 279 4 883525255 +286 546 1 876521835 +370 22 4 879434832 +71 50 3 885016784 +95 239 3 879198262 +378 1439 3 880333144 +429 709 4 882385267 +197 210 5 891409838 +10 199 4 877892050 +177 689 3 882141885 +354 153 3 891218418 +393 189 4 887745717 +269 433 3 891449900 +429 491 3 882384950 +112 307 4 884992585 +59 50 5 888205087 +373 1006 2 877100129 +288 357 5 886373591 +119 268 5 886175117 +216 357 4 880233635 +423 272 5 891394503 +159 121 3 880486071 +90 602 5 891385466 +109 121 5 880571741 +399 1135 2 882349170 +243 632 5 879988487 +13 673 3 882140691 +94 652 4 891721167 +361 234 4 879441285 +363 229 3 891497393 +213 229 4 878955973 +293 739 2 888906804 +118 193 5 875384793 +111 242 4 891679901 +195 235 3 883191566 +292 265 4 881105587 +13 287 1 882141459 +224 723 2 888104313 +200 692 3 884128400 +14 477 4 879119311 +299 136 4 878192078 +279 73 4 875310041 +345 716 3 884993686 +207 580 3 879665232 +235 515 4 889655086 +405 30 1 885549544 +312 173 3 891699345 +415 243 1 879439386 +422 258 4 875129523 +318 865 2 884496099 +233 193 4 877663646 +378 979 3 880333851 +437 1404 2 881002263 +2 298 3 888551441 +120 252 3 889490633 +437 190 3 880140154 +301 239 2 882076682 +269 843 3 891451374 +318 285 4 884470944 +181 1028 2 878962997 +44 204 4 878348725 +390 713 4 879694259 +346 1222 4 875263877 +292 223 5 881105516 +196 692 5 881252017 +399 1179 2 882352324 +363 9 3 891494628 +197 880 3 891409387 +291 540 3 874835141 +44 470 3 878348499 +263 648 5 891297988 +427 680 5 879701326 +234 1263 3 892335142 +102 286 3 883277645 +10 710 4 877892160 +27 508 3 891542987 +174 762 5 886434136 +346 53 1 875263501 +224 581 1 888104219 +312 265 1 891698696 +60 64 4 883325994 +184 606 5 889913687 +405 759 1 885548162 +174 1041 5 886513788 +95 393 5 880571678 +370 608 4 879434860 +380 185 4 885479057 +344 222 4 884899372 +236 298 4 890116793 +431 286 4 877844062 +272 288 4 879454663 +407 174 5 875042675 +113 1252 4 875935610 +363 474 5 891494929 +140 325 3 879013719 +331 514 3 877196173 +351 990 5 879481461 +265 151 2 875320661 +409 22 2 881108077 +22 172 4 878887680 +179 331 2 892151331 +254 655 4 886472313 +184 1397 3 889910233 +360 963 5 880355448 +234 484 5 892078936 +11 175 3 891904551 +221 824 3 875244694 +56 90 2 892677147 +71 135 4 885016536 +102 629 3 888803488 +417 99 4 879647498 +201 260 4 884110967 +244 584 5 880606634 +174 13 3 891551777 +413 255 3 879969791 +255 860 2 883216748 +347 215 4 881654211 +360 191 4 880355958 +345 748 2 884901497 +437 419 5 880141961 +398 479 4 875717020 +295 642 4 879517943 +429 941 3 882387506 +82 1126 4 878770169 +94 202 2 885873423 +14 655 5 879119739 +239 175 5 889180616 +58 558 5 884305165 +42 566 5 881107821 +271 289 4 885844666 +367 448 4 876690098 +354 321 2 891216128 +293 298 4 888904795 +285 514 3 890595859 +200 135 4 884128400 +223 975 1 891550094 +126 327 3 887855087 +271 642 5 885849231 +345 13 4 884991220 +224 51 4 888104457 +207 161 4 875509507 +291 1505 4 874868647 +361 531 5 879440545 +213 274 5 878955188 +75 1047 3 884050979 +287 98 4 875334759 +378 9 5 880044419 +121 515 4 891388391 +109 7 4 880563080 +334 652 5 891546992 +347 56 5 881653736 +399 1401 3 882342219 +1 73 3 876892774 +304 742 3 884968078 +345 98 5 884916235 +434 815 4 886724972 +158 433 3 880135044 +321 462 4 879440294 +49 738 3 888069138 +151 153 3 879524326 +7 223 5 891351328 +387 71 2 886483620 +409 664 4 881108648 +347 125 5 881652568 +118 17 3 875385257 +442 401 2 883388960 +286 127 4 877530570 +200 1049 3 876042922 +399 679 3 882344596 +42 63 4 881108873 +172 514 3 875537964 +389 517 4 880087977 +269 161 1 891451036 +267 545 2 878974723 +330 418 5 876546298 +406 396 3 879792974 +437 14 5 880140369 +407 969 4 884201736 +104 325 1 888442552 +390 304 5 879693561 +314 873 4 877886099 +406 503 3 884631010 +398 648 5 875733496 +159 289 2 880485415 +312 516 3 891699626 +312 195 5 891698254 +271 605 4 885849164 +95 496 4 879198746 +325 517 4 891478219 +314 418 5 877888346 +10 558 4 877886722 +405 1058 1 885546635 +178 323 3 882823530 +148 78 1 877399018 +422 126 4 875129911 +130 1136 4 876252373 +370 631 4 879435369 +336 124 1 877760244 +193 100 5 889124127 +176 50 5 886047879 +405 1317 1 885549746 +301 201 4 882076619 +126 313 5 887854726 +11 713 5 891903024 +279 719 4 875308222 +429 633 3 882385829 +428 875 4 885944136 +311 941 4 884365929 +363 169 5 891494563 +185 15 3 883525255 +417 132 4 879647850 +243 194 4 879988913 +399 295 4 882341264 +181 620 2 878963204 +7 259 3 891350464 +281 322 4 881200789 +416 1517 2 886320054 +316 132 4 880853599 +63 116 5 875747319 +222 161 4 878182279 +293 430 3 888905716 +59 142 1 888206561 +96 23 5 884403123 +328 503 3 885047696 +393 50 5 887743611 +244 738 4 880607489 +181 146 1 878962955 +239 836 5 889180888 +404 294 4 883790430 +380 496 4 885479537 +312 1039 5 891698951 +135 258 4 879857575 +401 435 5 891033250 +324 877 1 880575163 +62 1012 3 879372633 +432 237 5 889415983 +130 619 4 876251409 +82 151 2 876311547 +62 164 5 879374946 +435 431 3 884131950 +343 124 4 876402738 +222 2 3 878183837 +354 162 3 891217659 +367 288 5 876689418 +363 679 4 891497277 +58 195 4 884305123 +427 300 4 879700908 +405 1519 2 885546577 +145 549 5 875272786 +210 152 5 887730676 +405 1045 3 885546112 +361 524 4 879440386 +234 634 4 892079910 +291 294 5 874834481 +234 483 5 892078424 +200 258 4 876041644 +423 310 3 891394558 +398 1119 4 875812011 +194 193 4 879524790 +409 165 4 881107410 +256 1231 3 882164603 +1 67 3 876893054 +276 204 5 874791667 +60 505 4 883326710 +156 318 4 888185947 +436 73 4 887769444 +393 1169 5 887746015 +194 71 4 879524291 +405 959 1 885547222 +339 163 4 891035324 +160 137 4 876767299 +222 1029 1 881060608 +385 325 4 882175397 +210 864 3 887730842 +436 411 4 887771022 +224 300 4 888081843 +230 385 1 880485235 +54 118 4 880937813 +91 748 2 891438314 +297 197 3 875239691 +409 8 3 881108777 +301 385 3 882077055 +230 484 5 880484800 +8 176 5 879362233 +301 204 5 882076264 +407 655 4 875044037 +56 735 2 892678913 +22 230 4 878888026 +286 66 4 877533586 +202 173 2 879726914 +123 962 3 879872405 +311 195 4 884364538 +378 121 4 880044763 +276 101 4 874977555 +279 472 3 876609690 +95 226 4 879196513 +178 478 5 882826514 +56 25 4 892911166 +357 866 5 878951864 +201 693 4 884113949 +297 293 3 874954844 +92 508 5 886443416 +130 271 5 879352077 +354 511 4 891217340 +188 181 3 875072148 +301 231 2 882078580 +405 1217 3 885548633 +401 520 3 891033442 +389 402 3 880613797 +227 121 2 879035934 +391 530 5 877399337 +173 678 3 877556988 +342 1166 1 875319745 +94 603 4 891721414 +276 223 5 874790773 +72 135 4 880037054 +244 77 4 880603512 +269 499 4 891449099 +94 421 4 891721414 +135 939 4 879857797 +5 428 5 875636588 +130 689 2 880396150 +267 647 5 878971629 +32 259 2 883709986 +38 28 4 892429399 +279 248 4 875249259 +329 250 3 891656639 +109 388 5 880583308 +330 473 4 876544632 +276 1035 3 874793035 +164 121 5 889402203 +359 455 4 886453305 +196 8 5 881251753 +221 4 3 875245462 +14 50 5 890881557 +197 362 4 891409199 +94 288 3 885869993 +18 794 3 880131878 +435 1034 2 884134754 +13 27 3 882397833 +318 157 5 884496398 +385 385 1 879443352 +13 912 2 892014861 +374 204 4 880395604 +94 52 5 891721026 +183 450 3 891463592 +405 449 1 885548093 +92 582 5 875641516 +435 462 5 884131328 +230 97 5 880484544 +158 172 4 880134398 +201 1065 3 884113490 +23 1 5 874784615 +294 823 3 877820190 +406 642 3 884631033 +38 22 5 892429347 +119 511 5 874781407 +198 203 3 884207733 +268 134 5 875310083 +271 742 3 886106209 +99 694 1 885680616 +436 174 3 887769335 +208 402 4 883108873 +394 1079 3 881059148 +311 723 4 884366187 +22 997 1 878887377 +440 690 4 891546698 +372 649 3 876869977 +336 410 3 877758001 +117 1012 4 881008815 +392 321 5 891037685 +325 542 2 891479962 +409 480 5 881107056 +66 281 4 883602044 +344 246 4 889814518 +437 655 4 881001945 +239 705 4 889178652 +334 173 4 891628228 +442 385 3 883390416 +31 124 4 881548110 +357 984 3 878950923 +215 182 3 891435266 +115 1073 5 881171488 +90 1200 4 891384066 +102 5 3 888803002 +178 762 3 882824592 +70 96 4 884066910 +391 47 4 877399301 +325 554 1 891479912 +128 505 4 879967136 +426 1116 4 879444251 +60 416 4 883327639 +188 240 1 875072799 +13 201 1 882396869 +218 154 4 877488546 +393 380 2 887746482 +416 546 3 876697807 +393 1179 4 889731437 +325 127 5 891478480 +389 502 4 881384464 +339 302 4 891034592 +314 94 4 877891386 +303 462 3 879468082 +393 25 2 887744294 +389 1451 5 880087544 +44 274 4 878348036 +378 1046 3 880332857 +299 433 5 889501365 +49 583 4 888068143 +327 455 2 887819316 +360 207 4 880355888 +353 300 3 891402310 +385 705 3 879441538 +411 405 4 891035152 +383 19 4 891192911 +119 100 5 874774575 +130 881 4 875801239 +59 625 3 888206295 +435 443 3 884132777 +144 815 1 888104659 +340 174 4 884989913 +102 530 3 888801577 +251 181 4 886271733 +340 504 1 884991742 +442 31 3 883391249 +181 258 3 878961709 +169 234 4 891359418 +37 176 4 880915942 +167 1305 1 892738418 +190 333 4 891033606 +199 259 1 883782583 +160 23 5 876859778 +244 42 5 880602058 +99 409 2 885679411 +399 2 3 882512708 +94 824 4 891722882 +342 813 5 874984480 +409 339 2 881105677 +158 472 3 880132659 +303 1199 3 879468123 +23 527 4 874785926 +200 771 4 884130721 +332 295 3 887916529 +144 785 4 888106016 +24 109 3 875322848 +268 546 4 875743110 +328 1139 1 885049756 +406 199 5 879445810 +249 1016 3 879571752 +188 185 4 875071710 +1 65 4 875072125 +213 778 5 878955680 +385 42 1 879443252 +234 1400 3 892334400 +200 88 4 884128760 +405 169 1 885549192 +442 182 4 883390284 +79 290 3 891271741 +405 527 5 885545200 +117 1095 3 881010938 +387 744 3 886480818 +285 237 4 890595636 +353 316 5 891402757 +268 472 1 875743335 +232 474 5 888550036 +13 385 3 882397502 +308 660 3 887740410 +72 117 4 880035588 +60 234 4 883326463 +130 243 2 874953526 +262 815 2 879791216 +144 190 5 888105714 +393 1053 3 889730011 +406 527 4 879445599 +210 197 5 887736393 +210 300 4 887730066 +213 591 4 878955295 +239 89 4 889179253 +197 530 3 891410082 +236 549 4 890116628 +381 660 2 892696426 +389 498 5 880086918 +426 608 4 879444081 +18 151 3 880131804 +329 245 3 891656640 +416 107 5 893212929 +334 306 4 891544103 +198 527 4 884208061 +423 323 3 891395047 +181 459 1 878962349 +13 852 1 882396869 +246 628 1 884922554 +435 693 3 884131118 +239 488 5 889179033 +342 928 3 875318509 +278 306 5 891295043 +256 550 5 882164525 +393 591 5 887744372 +381 1400 3 892697394 +333 873 3 891045496 +13 238 3 881515411 +445 597 1 891200320 +429 431 5 882384870 +429 97 4 882386171 +178 619 3 888514710 +12 50 4 879959044 +283 209 4 879298271 +373 514 4 877098751 +79 1008 4 891271982 +348 1028 4 886523560 +15 933 1 879456447 +425 183 3 878738486 +63 306 3 875746948 +248 235 3 884536150 +394 181 4 880886796 +26 240 3 891377468 +151 484 4 879524563 +7 555 4 892134811 +222 81 1 878183565 +22 1001 1 878886647 +347 385 4 881654101 +198 228 3 884207206 +343 499 5 876405129 +10 483 5 877889333 +112 286 4 884992484 +44 21 2 878346789 +130 122 3 876251090 +1 190 5 875072125 +58 216 3 884305338 +141 1 3 884584753 +344 1165 1 886381986 +328 511 4 885045678 +406 181 5 879445859 +317 245 4 891446575 +393 303 4 891364609 +294 902 4 891404417 +445 195 2 890987655 +60 56 4 883326919 +226 209 3 883889146 +334 870 3 891545513 +401 196 5 891033497 +379 451 4 880525968 +182 222 3 885613180 +207 997 1 875508693 +397 324 2 882838749 +6 189 3 883601365 +241 887 4 887249685 +216 150 5 880232812 +126 1175 5 887856958 +222 300 5 877562795 +268 926 2 875743012 +256 368 1 882163778 +436 132 1 887769824 +343 69 5 876405735 +293 280 2 888905198 +378 471 3 880057018 +244 866 5 880605131 +378 1232 3 880333121 +435 756 3 884134134 +426 633 4 879444816 +338 603 5 879438690 +427 302 4 879700759 +407 157 2 875046752 +214 20 4 892668197 +416 1503 4 888702629 +74 121 4 888333428 +308 520 4 887738508 +121 508 4 891388333 +14 492 4 890881485 +81 544 2 876546272 +25 114 5 885852218 +308 58 3 887736459 +343 237 4 876402738 +346 455 3 874948889 +178 71 4 882826577 +320 403 4 884749281 +379 504 5 880526141 +342 1073 1 875320199 +250 69 5 878092059 +225 245 2 879539315 +244 52 4 880606476 +5 259 1 878844208 +133 304 3 890588639 +374 257 3 880393223 +372 12 4 876869730 +436 454 4 887768982 +194 941 2 879552569 +385 526 3 879445098 +396 106 4 884646537 +394 121 4 880888452 +195 271 4 879488450 +48 181 5 879434954 +63 225 2 875747439 +429 1113 3 882386711 +429 944 3 882387474 +329 12 4 891656178 +422 1017 4 875130063 +125 384 3 892838591 +412 4 3 879717253 +326 479 5 879875432 +242 1357 5 879741196 +312 156 3 891698224 +276 576 3 874792547 +293 206 4 888907552 +244 685 2 880604642 +351 750 5 883356810 +330 1044 5 876547575 +418 304 4 891282738 +392 1142 5 891038184 +257 405 3 882050397 +89 212 3 879459909 +387 444 4 886481800 +22 153 5 878886423 +416 819 3 888700844 +361 197 5 879440739 +242 237 4 879740594 +76 98 5 875028391 +193 210 4 889125755 +137 266 5 881432735 +10 56 5 877886598 +406 79 3 882480481 +7 604 3 891351547 +429 635 3 882387202 +417 725 4 880952970 +64 175 5 889739415 +430 527 4 877226209 +184 67 3 889912569 +342 179 5 874984175 +95 1018 3 879198946 +386 7 3 877655028 +221 24 5 875244352 +268 101 2 875542174 +109 215 3 880578598 +15 459 5 879455562 +425 825 2 878738643 +387 189 5 886483619 +268 1002 1 875743216 +224 1045 2 888082766 +125 94 5 892839065 +393 396 1 889730514 +330 588 5 876546033 +432 50 5 889416012 +230 140 3 880484320 +399 763 2 882340900 +417 195 5 879647380 +280 629 4 891701852 +233 923 4 877664010 +115 952 5 881170998 +282 879 2 879949504 +279 1312 3 890780962 +263 661 5 891298728 +442 54 3 883391274 +276 1220 4 874791048 +119 310 5 886175117 +73 318 4 888625934 +2 19 3 888550871 +97 192 1 884238778 +447 1034 2 878854918 +445 410 1 891200164 +268 238 3 875310352 +270 282 3 876954093 +227 25 4 879035535 +69 147 3 882072920 +411 196 4 892845804 +64 403 4 889739953 +421 915 4 892241252 +102 502 3 888803738 +153 510 3 881371198 +188 164 4 875072674 +87 161 5 879875893 +243 16 3 879987630 +320 895 4 884748346 +363 37 2 891498510 +197 550 3 891409981 +406 435 5 880131642 +110 11 4 886987922 +396 930 3 884646467 +438 1028 2 879868529 +13 783 3 886304188 +314 1032 4 877891603 +373 196 5 877098487 +43 271 3 880317103 +158 435 5 880134407 +357 713 5 878951576 +334 70 3 891546299 +151 702 3 879524849 +422 273 5 875129791 +313 604 4 891014552 +5 457 1 879198898 +373 651 4 877105075 +311 642 4 884365823 +429 693 4 882386628 +85 622 3 882995833 +277 93 4 879543972 +363 761 3 891498183 +313 155 2 891031577 +294 343 4 889241511 +20 568 4 879669291 +378 286 5 880043650 +216 200 5 880244802 +207 875 2 875718889 +328 690 3 885044418 +10 603 5 877886783 +281 682 3 881200519 +90 180 4 891384065 +311 41 3 884366439 +393 659 4 887746378 +11 726 3 891905515 +385 171 3 879750777 +387 48 4 886483753 +429 318 5 882387731 +339 159 3 891034681 +274 118 4 878945711 +334 708 4 891628833 +409 479 5 881106947 +268 122 2 875743310 +326 386 5 879877284 +178 16 4 882823905 +306 25 3 876504354 +395 365 5 883766403 +348 476 4 886523735 +269 194 5 891448951 +405 1029 1 885547735 +18 152 3 880130515 +279 434 4 892864609 +269 143 3 891450385 +271 430 5 885849419 +213 841 4 878871010 +294 1161 3 877819673 +276 423 5 874790926 +151 51 4 879543055 +343 194 5 876405200 +56 1092 3 892911573 +90 483 5 891384570 +406 209 1 880131608 +158 530 4 880134332 +181 1375 1 878962586 +381 100 4 892697442 +346 241 4 874948929 +275 627 3 875154718 +144 165 4 888105993 +380 181 3 885478391 +387 136 3 886480288 +256 685 5 882151576 +393 123 4 887744328 +92 248 4 886442565 +256 775 5 882165269 +422 926 2 875130100 +326 671 3 879876327 +271 265 5 885849275 +378 50 4 880045145 +308 966 3 887740500 +437 1262 3 881002091 +328 569 4 885049199 +207 100 2 875503786 +301 2 2 882076587 +435 746 4 884132184 +222 568 5 878183481 +56 169 4 892683248 +320 685 4 884748839 +334 1404 4 891549068 +442 98 4 883389983 +21 816 1 874951898 +7 496 5 891351083 +218 4 3 877488546 +393 394 5 889728627 +207 205 4 875991160 +279 638 4 875312441 +254 443 3 886473547 +178 696 4 882824869 +399 568 2 882345842 +25 432 2 885852443 +374 552 4 880938255 +200 1139 3 884130484 +160 7 3 876767822 +233 499 3 877664010 +387 441 1 886481800 +64 539 1 889737126 +186 226 5 879023664 +189 234 5 893265401 +296 309 1 884196209 +64 62 2 889740654 +435 115 4 884131771 +405 1248 1 885548633 +391 204 3 877399658 +425 38 3 878738757 +189 176 4 893265214 +379 196 4 880525062 +421 194 4 892241554 +86 288 3 879570218 +106 196 5 881450578 +297 201 4 875238984 +194 427 4 879521088 +449 971 4 880410701 +435 652 4 884131741 +74 324 3 888333280 +377 219 3 891299078 +57 456 3 883698083 +26 150 3 891350750 +90 83 5 891383687 +393 67 3 889730088 +393 756 4 887745258 +26 127 5 891386368 +354 483 4 891217298 +405 371 1 885549309 +447 121 5 878855107 +385 218 2 879447361 +435 141 2 884132898 +393 241 4 889554930 +301 194 4 882075827 +359 313 5 886453450 +296 268 4 884196238 +299 86 4 889502050 +328 579 3 885049836 +366 573 5 888858078 +59 274 1 888203449 +313 471 4 891015196 +292 408 4 881104068 +94 55 4 885873653 +429 1039 5 882386071 +250 688 2 878089182 +70 206 3 884067026 +203 304 3 880433445 +270 1471 4 876956264 +405 593 1 885549790 +346 265 4 874950794 +334 566 3 891548866 +363 809 4 891497712 +166 748 2 886397751 +249 28 4 879572106 +181 13 2 878962465 +292 125 2 881104401 +133 294 3 890588852 +329 483 4 891656347 +296 134 5 884197264 +328 199 4 885045528 +263 237 2 891300103 +135 265 3 879857797 +391 497 3 877399133 +42 118 4 881105505 +299 1132 1 877880196 +435 1028 2 884133284 +102 96 3 888801316 +22 154 4 878886423 +279 1501 1 889231898 +176 236 4 886048145 +109 295 4 880564707 +11 40 3 891905279 +325 197 4 891478199 +320 405 4 884748774 +348 100 4 886523207 +234 403 1 892335674 +21 291 3 874951446 +62 3 3 879372325 +381 77 2 892696367 +313 1050 4 891016826 +449 381 4 880410777 +389 1052 2 881384711 +328 164 3 885047484 +201 62 1 884310149 +158 516 5 880135044 +160 230 2 876860808 +92 845 3 886442565 +303 541 3 879543988 +321 607 4 879440109 +234 654 5 892333573 +81 98 5 876534854 +320 22 5 884749452 +246 55 4 884921948 +207 153 5 877750617 +202 286 1 879726342 +104 346 3 888442172 +233 423 4 877665239 +407 117 3 875550223 +408 748 5 889680073 +397 261 1 875063722 +28 665 3 881961782 +395 121 3 883765731 +136 515 5 882694387 +201 174 3 884112201 +82 405 3 876311423 +144 297 4 888104150 +305 175 4 886322893 +405 1435 1 885547735 +89 517 5 879459859 +394 508 4 880886978 +450 470 5 887139517 +256 1210 5 882164999 +99 748 4 885678436 +405 795 2 885547605 +346 967 2 874948426 +20 144 2 879669401 +38 550 2 892432786 +383 9 5 891192801 +262 393 2 879794140 +343 405 4 876403776 +308 618 4 887737955 +210 88 4 887737603 +264 175 5 886123472 +64 70 5 889739158 +293 53 3 888907891 +123 132 3 879872672 +1 100 5 878543541 +216 364 2 881721863 +312 611 5 891698764 +300 100 3 875650267 +417 32 2 879647924 +215 434 5 891435394 +13 349 1 892387807 +327 425 3 887822681 +450 783 3 882399818 +16 482 5 877718872 +25 633 4 885852301 +40 750 3 889041523 +254 258 4 887347560 +130 627 5 875801496 +338 516 5 879438366 +429 427 5 882385569 +437 173 4 881001023 +327 96 2 887822530 +279 721 5 875312719 +421 200 3 892241687 +177 470 5 880130951 +271 471 3 885847926 +91 515 5 891439090 +194 479 3 879521167 +265 300 5 875320024 +191 272 4 891560631 +21 258 4 874950889 +47 268 4 879439040 +85 451 4 882995934 +292 127 5 881104268 +435 217 4 884133161 +406 443 4 879792897 +354 1241 4 891216875 +115 9 5 881171982 +405 673 5 885545235 +312 183 5 891699182 +379 686 4 880525502 +267 67 3 878973088 +59 203 4 888204260 +194 660 3 879527421 +447 218 4 878856052 +378 896 4 889665232 +151 707 4 879528537 +416 479 5 893213917 +143 325 5 888407741 +429 109 3 882385034 +445 823 1 891200624 +69 508 4 882072920 +429 197 4 882384772 +276 977 2 874787090 +293 328 2 888904285 +347 73 2 881654773 +342 950 2 875318423 +303 755 2 879485016 +43 173 5 875981190 +389 29 2 880088659 +144 221 3 888104087 +85 479 4 879454951 +92 22 3 875653121 +158 117 3 880132719 +181 1395 1 878961847 +320 771 3 884751316 +125 208 3 879454244 +380 135 3 885479436 +321 100 4 879438882 +347 410 5 881653059 +357 237 5 878951217 +313 659 4 891013773 +114 482 4 881259839 +387 133 2 886480483 +327 423 3 887822752 +230 485 5 880484370 +42 72 3 881108229 +301 871 4 882075148 +181 952 1 878962720 +144 597 4 888104191 +406 99 5 879793081 +437 755 3 880143450 +420 283 5 891357162 +85 286 4 879452259 +90 652 4 891384611 +267 54 3 878973922 +342 122 4 875318783 +263 614 3 891298792 +49 1070 3 888068739 +198 33 3 884209291 +385 181 1 879439923 +276 774 2 877934722 +385 286 3 879438600 +47 323 2 879440360 +305 405 3 886324580 +141 322 4 884584426 +450 1147 4 882374497 +246 790 3 884923405 +50 325 1 877052400 +172 483 3 875538028 +412 135 4 879717621 +158 502 4 880135069 +72 230 1 880037277 +21 979 2 874951416 +341 288 4 890757686 +160 544 4 876768106 +157 147 5 886890342 +401 342 1 891031723 +181 879 2 878961542 +390 331 2 879693723 +373 494 4 877099178 +398 234 4 875659265 +145 477 2 888398069 +343 121 2 876407072 +64 214 3 889737478 +299 70 3 877881320 +234 208 4 892318002 +435 234 4 884132619 +405 1167 1 885547268 +336 153 5 877757669 +382 1142 3 875945451 +142 358 2 888640178 +363 218 2 891497174 +235 211 5 889655162 +405 396 1 885547408 +363 81 4 891496616 +60 606 4 883327201 +43 471 3 883955319 +437 86 4 881001715 +297 1014 3 874954845 +399 772 4 882343358 +311 576 3 884366269 +330 286 5 876543768 +305 201 3 886323998 +57 932 3 883697585 +208 208 4 883108360 +42 479 4 881108147 +320 276 2 884748579 +234 428 4 892334079 +214 187 4 891544070 +416 399 4 878879497 +85 237 3 879452769 +313 526 4 891028197 +387 561 3 886481800 +201 1008 3 884140891 +189 1117 5 893264678 +50 508 5 877052438 +303 1303 3 879543831 +59 564 2 888206605 +42 216 5 881108147 +423 258 5 891394747 +202 604 5 879727058 +42 1049 3 881105882 +178 196 4 882827834 +437 665 2 880143695 +437 239 4 880141529 +342 143 5 875318936 +245 50 4 888513664 +234 963 3 892078983 +407 200 4 875045685 +56 554 4 892679356 +6 506 4 883602174 +196 428 4 881251702 +263 163 5 891299697 +354 134 4 891217298 +95 591 5 880573287 +311 322 4 884364047 +326 98 5 879875112 +292 705 4 881105374 +318 138 4 884498115 +429 1136 4 882386532 +140 880 4 879013832 +134 751 5 891732335 +311 71 4 884364845 +342 13 3 874984480 +231 476 3 879966018 +326 969 4 879875151 +376 98 5 879454598 +346 405 3 886274098 +78 298 3 879633702 +311 420 1 884366334 +221 476 2 875244673 +356 892 1 891406241 +385 180 4 879442706 +26 294 3 891348192 +373 658 4 877105781 +417 226 3 879648096 +293 804 1 888907816 +417 636 3 879648435 +13 333 3 881514810 +435 386 4 884133584 +130 143 5 876251922 +374 405 4 880392992 +132 154 4 891278996 +332 95 5 888360060 +1 226 3 878543176 +70 191 3 884149340 +151 163 4 879542723 +345 325 1 884901497 +348 1120 3 886523387 +181 288 4 878961173 +276 409 3 874792310 +325 180 4 891478910 +239 954 5 889179253 +200 56 4 884128858 +325 525 5 891478579 +234 427 4 892078386 +151 356 2 879528852 +435 1217 3 884133819 +29 874 4 882821020 +393 1215 3 889731729 +416 1407 2 886320112 +94 17 2 891721494 +432 411 3 889416044 +405 1421 1 885546835 +56 728 3 892911420 +90 421 4 891383718 +95 229 3 879196408 +250 56 4 878090004 +42 95 5 881107220 +398 162 5 875811851 +193 56 1 889125572 +38 133 2 892429873 +331 11 2 877196702 +293 226 1 888906906 +29 302 4 882820663 +95 79 4 879196231 +194 568 2 879522819 +293 1042 3 888907575 +102 636 3 888801577 +405 1178 1 885547690 +174 768 1 886515569 +58 1103 5 884305150 +222 218 5 878182370 +426 614 4 879444604 +327 411 3 887818957 +186 300 5 879022858 +339 182 5 891033310 +21 148 1 874951482 +271 221 3 885847927 +445 628 1 891200137 +332 265 4 888360370 +72 51 4 880036946 +363 96 5 891494835 +6 269 4 883268222 +262 365 4 879793939 +22 194 5 878886607 +359 1 4 886453214 +446 332 3 879787149 +327 634 5 887820493 +59 209 5 888204965 +269 716 4 891451111 +58 311 4 890770101 +5 410 1 879198183 +213 238 5 878955635 +345 311 5 884900609 +303 765 3 879485608 +6 87 4 883602174 +405 1557 1 885547222 +103 69 3 880420585 +263 195 5 891299949 +118 421 4 875384946 +279 1247 2 875659924 +201 71 3 884111270 +174 216 5 886439516 +327 219 4 887746219 +145 195 5 882181728 +356 333 5 891405978 +31 79 2 881548082 +217 391 4 889070287 +234 1126 4 892079722 +314 1178 2 877892244 +85 418 3 879455197 +308 191 4 887736797 +130 385 5 875802080 +256 237 4 882150644 +417 563 2 879649560 +126 751 4 887853568 +301 631 1 882078882 +425 323 2 878737684 +81 756 1 876534097 +445 919 1 891200233 +151 1113 4 879542891 +342 1300 1 875318556 +399 389 3 882345078 +375 300 4 886621795 +181 284 2 878962996 +201 559 2 884112627 +128 284 3 879968663 +379 530 5 880525502 +435 252 2 884134677 +405 579 1 885547557 +437 197 5 880141962 +417 47 3 879648004 +276 8 4 874791623 +450 100 4 882374059 +114 100 5 881259927 +308 484 3 887736998 +45 1060 3 881012184 +193 147 2 890860290 +235 652 4 889655403 +293 710 3 888907145 +388 117 5 886436756 +10 127 5 877886661 +260 313 5 890618198 +198 154 4 884208098 +5 369 1 875635372 +449 291 2 879959246 +183 54 2 891467546 +268 55 4 875309998 +262 200 3 879794918 +293 1017 3 888904862 +95 1090 1 888956869 +161 187 3 891170998 +405 386 3 885547605 +18 432 4 880131559 +232 493 4 888549622 +246 3 2 884923390 +342 1009 1 874984596 +181 984 1 878961781 +1 243 1 875241390 +429 967 4 882386378 +106 684 4 881452763 +161 508 2 891171657 +374 150 4 882156767 +280 476 5 891702544 +102 930 2 888802677 +181 1333 1 878962120 +256 473 5 882151088 +224 962 2 888082584 +157 1258 5 886891132 +47 306 4 879439113 +144 531 5 888105473 +22 195 4 878887810 +222 127 5 881059039 +396 328 4 884645813 +59 101 5 888206605 +327 265 2 887818511 +156 11 2 888185906 +65 7 1 879217290 +320 161 4 884749360 +13 874 5 881514876 +59 33 3 888205265 +194 482 3 879521088 +263 528 4 891298854 +114 640 2 881260303 +130 717 3 874953928 +144 707 3 888106322 +119 40 4 886176993 +342 762 2 874984914 +436 133 3 887768982 +290 210 5 880474716 +417 29 2 880952218 +234 1078 2 892336322 +217 121 1 889069944 +439 125 3 882893688 +404 313 5 883790181 +94 541 3 891723525 +62 514 3 879374813 +44 412 1 883613298 +178 214 1 882827985 +62 216 4 879375414 +13 821 3 882141393 +223 300 3 891548712 +417 544 3 879646661 +181 873 1 878961542 +270 176 4 876955976 +425 475 5 878737945 +221 3 4 875244901 +59 427 5 888204309 +109 162 2 880578358 +82 8 4 878769292 +224 162 4 888103611 +150 410 4 878747090 +178 258 4 882823353 +109 546 3 880571979 +291 384 4 875086562 +291 24 5 874834481 +222 373 3 881060659 +10 133 5 877891904 +269 998 5 891451548 +108 14 5 879879720 +378 449 3 880333195 +405 510 1 885545975 +90 904 3 891382121 +89 268 5 879461219 +159 310 5 880989865 +450 58 3 882373464 +429 744 4 882386485 +315 31 3 879821300 +100 313 5 891374706 +393 55 4 889727862 +197 313 4 891409160 +314 795 4 877889834 +387 202 3 886482695 +85 420 4 880838337 +13 682 1 883670742 +290 588 4 880474652 +244 1209 3 880608315 +18 923 5 880132501 +130 44 4 875801662 +405 467 4 885545200 +330 22 5 876545532 +450 142 5 887835352 +315 194 4 879820961 +6 318 4 883600985 +178 597 4 882824869 +407 493 3 875552496 +325 286 4 891477597 +41 209 4 890687642 +181 308 1 878961847 +214 346 3 891542735 +342 134 4 875318936 +339 258 3 891033200 +405 765 1 885547735 +431 748 4 877844377 +379 2 3 880525540 +430 656 4 877226365 +63 126 3 875747556 +271 70 5 885849164 +406 40 3 880131875 +329 288 2 891655191 +425 172 5 878738385 +276 697 2 874791316 +295 1039 4 879517742 +57 321 4 883696629 +350 286 5 882345337 +413 628 4 879969791 +95 43 2 880572356 +24 9 5 875323745 +395 892 3 883762681 +150 278 2 878746889 +428 332 4 885943749 +393 27 4 889555050 +450 801 4 882469863 +115 431 4 881171558 +326 530 5 879875778 +270 237 1 876954484 +391 286 4 877398517 +442 554 2 883390641 +326 1231 3 879877039 +161 191 2 891171734 +19 258 4 885411840 +64 385 4 879365558 +15 411 2 879456351 +326 527 5 879874989 +249 168 4 879572370 +13 449 4 882398385 +445 204 3 890988205 +445 1591 4 891199360 +165 91 4 879525756 +367 452 4 876690120 +342 772 1 875319597 +328 639 2 885048730 +115 50 5 881172049 +299 276 4 877877691 +450 216 5 882373657 +326 197 1 879875723 +158 186 3 880134913 +354 651 3 891217693 +271 882 3 885844547 +327 13 2 887746665 +450 785 3 882395537 +401 100 4 891032170 +158 239 3 880135093 +426 211 4 879444320 +450 162 5 882395913 +405 1562 1 885549506 +293 649 4 888906726 +268 194 4 875310352 +334 476 3 891545540 +239 663 5 889180617 +418 269 5 891282765 +226 258 5 883888671 +384 343 3 891273716 +447 70 3 878856483 +405 768 3 885548932 +103 234 3 880420353 +389 136 4 880087671 +395 255 3 883765731 +450 144 5 882373865 +193 307 4 889123316 +313 586 2 891028426 +216 168 4 880234680 +303 248 2 879544680 +268 40 3 875743708 +308 154 4 887738152 +269 741 5 891457067 +181 337 1 878961709 +406 410 4 879540026 +145 301 4 877342952 +392 166 5 891038466 +416 975 2 878879391 +56 7 5 892679439 +365 742 3 891304039 +34 329 5 888602808 +311 1035 4 884365954 +21 396 2 874951798 +18 514 5 880129990 +389 756 2 880088942 +82 294 4 878768327 +363 741 3 891495338 +293 426 1 888907291 +122 382 3 879270711 +407 222 4 884197027 +145 258 4 875269755 +206 690 2 888179694 +151 461 4 879524738 +87 1184 3 879876074 +450 462 4 882396928 +60 417 4 883327175 +425 83 2 891986445 +87 702 3 879876917 +82 289 1 884713642 +117 25 4 881009470 +342 508 3 874984810 +144 750 4 888103444 +276 562 3 889174870 +382 137 2 875946029 +349 1117 3 879466366 +62 462 2 879373737 +363 792 4 891495918 +43 285 4 875975468 +299 954 3 889503503 +431 538 4 881127620 +339 1244 4 891036423 +367 219 4 876690098 +268 198 4 875309232 +183 257 2 891464558 +425 250 4 878739054 +198 218 3 884209412 +299 52 4 877880962 +243 83 4 879988184 +192 277 3 881367932 +64 230 5 889739994 +278 294 4 891295230 +291 729 4 874871442 +387 294 2 886484413 +445 408 3 891199749 +13 828 1 882399218 +379 199 4 880524860 +425 313 1 890346317 +163 347 4 891219976 +297 326 2 874953892 +186 299 3 879720962 +425 56 5 878737945 +363 215 3 891496306 +6 276 2 883599134 +85 216 3 879454500 +15 744 4 879455789 +429 1296 2 882387392 +407 238 5 875042378 +385 29 1 879447845 +354 197 4 891217512 +249 83 5 879640977 +405 1175 1 885549904 +280 431 4 891701531 +409 965 2 881108777 +402 235 3 876267014 +373 82 1 877099317 +204 304 3 892389328 +363 461 3 891495711 +184 9 5 889907685 +13 787 3 882141582 +174 56 5 886452583 +119 741 4 874774815 +18 487 4 880129454 +432 274 3 889416229 +207 628 3 876018608 +307 195 3 879205470 +280 153 5 891700681 +294 825 3 877820272 +114 210 3 881309511 +59 582 4 888205300 +416 405 5 893213645 +303 158 3 879543959 +167 568 3 892738341 +449 137 5 879958866 +245 240 1 888513860 +286 824 1 876522200 +286 421 1 889651848 +155 292 3 879371061 +450 384 3 882471524 +416 842 4 886317350 +86 289 3 879570366 +13 450 3 882398494 +135 943 3 879857931 +301 222 4 882074345 +234 588 3 892335541 +102 79 2 888801316 +416 568 4 878879861 +280 977 3 891701723 +294 358 2 877818861 +59 764 4 888203709 +201 413 3 884114505 +374 1 4 880392992 +43 409 3 884029493 +450 739 4 887660650 +10 98 4 877889261 +200 125 5 876041895 +152 483 5 882474435 +11 94 3 891905324 +318 708 4 884497994 +18 234 3 880131106 +267 168 4 878971716 +158 410 3 880132794 +297 435 3 875238726 +13 839 1 882396984 +105 752 3 889214406 +330 174 5 876546172 +280 274 5 891701188 +185 515 4 883525255 +64 154 4 889737943 +267 172 5 878974783 +395 924 4 883765156 +263 168 5 891299949 +256 476 4 882152914 +311 1479 3 884365824 +60 77 4 883327040 +345 71 3 884992922 +128 282 3 879967550 +286 275 4 875807074 +344 472 3 884899837 +184 515 5 889907599 +7 480 4 891352093 +151 432 5 879524610 +42 230 5 881109148 +429 423 4 882387757 +123 482 4 879872406 +422 276 5 875129791 +305 246 3 886322122 +451 289 1 879012510 +21 741 3 874951382 +109 58 4 880572950 +92 28 3 875653050 +6 534 4 883599354 +1 154 5 878543541 +352 568 5 884290328 +138 318 5 879024183 +393 38 4 889731010 +7 307 5 891350703 +214 246 2 891542968 +230 228 2 880485216 +450 1269 4 882812635 +262 111 4 879962292 +1 214 4 875072520 +43 628 3 875975580 +204 1281 2 892513979 +5 435 4 875636033 +11 730 3 891904335 +194 692 2 879524215 +437 640 1 881002300 +184 143 3 889908903 +409 187 3 881108126 +385 922 4 881569749 +223 1197 3 891549570 +181 261 1 878961814 +322 272 4 887313698 +419 173 5 879435628 +224 196 4 888103532 +44 229 3 883613334 +291 244 2 874805927 +95 328 5 888953921 +378 241 4 880057137 +70 511 5 884067855 +271 516 4 885849447 +221 258 1 875247297 +299 543 5 889501890 +417 207 4 879647580 +379 1206 2 880961672 +351 754 5 883356614 +42 410 3 881110483 +312 4 3 891698832 +303 358 2 879466291 +244 301 2 880601905 +311 751 3 884363758 +252 7 4 891455743 +242 306 5 879741340 +442 14 1 883389776 +214 269 3 891542735 +343 961 4 876404688 +83 471 3 891182000 +295 435 5 879519556 +219 568 1 889452455 +95 241 3 879196408 +325 47 3 891478712 +435 4 4 884132146 +22 411 1 878887277 +46 909 5 883614766 +323 1050 5 878739988 +59 204 5 888205615 +406 1010 4 879539929 +224 727 4 888082682 +106 699 4 881451421 +200 755 5 884129729 +376 274 3 879459115 +380 1 4 885478218 +74 124 3 888333542 +74 333 4 888333238 +452 25 2 875559910 +313 946 3 891030228 +339 192 5 891032438 +382 9 4 875946830 +234 284 3 892335460 +222 591 4 878181869 +387 210 4 886482928 +313 550 4 891028323 +229 312 3 891632551 +113 678 2 875076044 +305 423 4 886322670 +442 39 3 883390466 +90 143 5 891383204 +234 194 5 892333653 +256 724 4 882165103 +94 768 3 891722609 +144 1285 3 888105922 +236 195 2 890118507 +3 264 2 889237297 +417 11 5 879646938 +93 477 5 888705053 +411 168 5 892845604 +405 1180 1 885547605 +425 429 4 878737908 +375 218 3 886622024 +429 133 3 882385663 +405 511 2 885546112 +214 509 4 892668197 +207 265 3 877846793 +389 1074 2 880613841 +271 117 3 886106003 +215 357 4 891435573 +18 705 3 880130640 +344 896 4 884814359 +433 173 4 880585730 +450 179 5 882394364 +27 295 3 891543164 +437 584 3 880141243 +327 589 3 887743936 +314 327 4 877886099 +119 977 3 874780969 +231 924 5 888605273 +450 38 4 882474001 +429 321 3 882384438 +95 191 5 879198161 +258 748 5 885701004 +279 1007 4 879572694 +338 212 4 879438597 +406 188 4 882480772 +177 294 4 880130481 +235 1119 3 889655550 +114 96 3 881259955 +181 268 1 878961749 +399 1220 2 882343389 +222 833 2 877563913 +269 216 1 891449691 +301 252 3 882075148 +370 257 5 879434468 +417 541 2 879649389 +442 229 3 883391275 +116 137 2 876454308 +42 413 1 881106072 +311 785 3 884366010 +46 538 3 883611513 +361 156 4 879441252 +59 513 4 888205144 +276 569 4 874791169 +148 713 3 877021535 +28 70 4 881961311 +325 234 3 891478796 +62 229 3 879375977 +178 241 5 882827375 +409 684 4 881109420 +280 73 3 891700715 +38 424 3 892432624 +339 603 5 891032542 +319 880 4 889816332 +359 405 3 886453354 +406 50 5 879445897 +405 1004 1 885546577 +23 710 4 874785889 +184 423 4 889909409 +114 186 3 881260352 +62 270 2 879371909 +416 92 3 878880244 +416 833 3 888700719 +90 318 5 891383350 +437 418 3 880141084 +406 826 3 879540275 +379 448 4 880741811 +340 71 5 884990891 +417 98 5 879647040 +174 272 5 886432770 +62 228 3 879374607 +447 69 4 878856209 +13 596 3 882398691 +85 163 3 882813312 +158 184 3 880134407 +59 183 5 888204802 +317 268 3 891446371 +399 42 2 882510250 +207 986 3 877878384 +279 1011 3 875298314 +442 452 3 883390169 +115 178 5 881172246 +236 443 4 890116709 +90 202 3 891385298 +347 827 1 881653266 +305 98 4 886322560 +449 286 4 879958444 +141 300 5 887424721 +97 32 5 884239791 +407 1028 3 876348832 +90 879 3 891382542 +102 444 1 888803245 +174 1139 2 886514651 +198 183 5 884207654 +126 260 1 887855173 +230 926 3 880485489 +141 106 5 884585195 +416 941 3 876699946 +342 23 5 874984154 +207 154 2 878088217 +194 192 5 879521253 +371 98 5 877487213 +303 820 3 879544184 +423 1134 4 891395684 +389 159 2 880088330 +332 127 5 887916653 +38 88 5 892430695 +297 137 5 874954425 +409 491 2 881109019 +328 470 4 885046537 +122 46 5 879270567 +201 39 1 884112427 +387 52 5 886483497 +60 529 4 883326862 +10 1 4 877888877 +254 211 3 886472089 +381 30 4 892697174 +217 1228 2 889070050 +322 591 3 887313984 +221 461 4 875245574 +367 258 4 876689364 +429 710 4 882387731 +28 436 5 881961601 +388 310 5 886438540 +110 748 3 886987478 +331 947 5 877196308 +87 118 4 879876162 +435 675 3 884132873 +297 687 2 875409099 +85 215 4 879829438 +207 1147 4 879665042 +280 135 4 891700552 +330 66 5 876547533 +93 815 4 888705761 +429 273 4 882385489 +108 137 5 879879941 +416 41 3 886319177 +280 132 4 891701090 +7 176 3 891350782 +301 199 4 882076239 +361 934 3 879440974 +119 845 4 886176922 +393 747 4 889727969 +392 1160 2 891038137 +407 478 4 875042642 +308 74 4 887740184 +375 77 4 886622024 +452 523 2 887889774 +58 408 5 884304377 +394 217 5 880888972 +13 604 5 882139966 +379 239 4 880961874 +318 229 1 884497318 +62 168 5 879373711 +410 286 4 888627138 +291 181 5 874805804 +330 419 5 876546298 +254 132 4 886472022 +387 2 4 886483195 +429 1425 3 882387633 +413 260 1 879969148 +425 759 2 878738290 +234 927 4 892334267 +234 673 4 892334189 +333 315 5 891044095 +82 199 4 878769888 +416 51 5 893212895 +13 589 3 881515239 +244 145 3 880608842 +345 846 4 884991348 +379 83 4 880525002 +454 493 2 888267617 +5 214 3 875637485 +325 526 3 891478239 +194 1093 3 879540807 +366 7 2 888857598 +13 481 3 882140038 +409 381 2 881108364 +290 449 1 880473557 +161 276 5 891170881 +338 132 2 879438143 +291 92 4 874835091 +416 506 5 893214041 +305 856 5 886323839 +416 284 4 893142144 +270 740 5 876954062 +453 1032 1 877561911 +130 268 4 875801210 +451 269 2 879012647 +167 204 4 892738384 +389 275 5 879915860 +311 44 3 884365168 +168 619 3 884287536 +253 89 4 891628451 +16 357 5 877720297 +264 654 5 886122508 +10 652 3 877889130 +454 1063 4 881960029 +414 100 5 884999439 +225 22 5 879540678 +389 71 4 880088091 +158 148 4 880132613 +95 286 5 879193353 +435 628 5 884132990 +7 418 4 892131824 +125 283 5 879454986 +100 292 2 891375146 +85 984 2 884906441 +413 301 3 879968794 +246 232 3 884923073 +347 475 4 881652417 +409 937 2 881104966 +323 243 1 878738997 +6 524 3 883600632 +414 264 3 884998993 +207 866 3 876079054 +207 978 3 877878883 +13 477 4 882398934 +453 421 4 888203015 +429 144 4 882387773 +429 499 4 882384896 +134 15 5 891732726 +239 207 5 889180578 +118 134 5 875384916 +216 9 4 880232637 +385 794 2 879448181 +128 763 4 879968718 +208 367 2 883108324 +295 115 5 879517135 +276 578 4 888873675 +249 249 4 879571752 +299 59 5 877880394 +59 732 3 888205370 +151 189 5 879528495 +378 405 3 880044489 +398 1450 5 875717717 +97 661 5 884238817 +323 875 3 878739029 +450 659 5 882374217 +380 474 4 885478558 +189 127 4 893263994 +117 257 5 880125911 +198 381 3 884208273 +435 273 5 884131298 +409 654 3 881107697 +128 614 3 879967879 +14 716 5 879119651 +95 716 3 879198109 +409 154 5 881108648 +450 252 3 887834953 +338 170 5 879438301 +201 655 4 884112800 +382 481 5 875947078 +174 138 1 891551778 +85 317 3 882995577 +82 481 5 878769262 +295 290 4 879518630 +407 161 2 876338279 +222 159 3 878181457 +194 780 2 879527865 +271 423 4 885848802 +3 349 3 889237269 +417 425 4 879648132 +75 742 1 884050590 +94 696 4 891724381 +320 1 3 884748604 +14 283 4 882839936 +450 1160 5 886612330 +314 1165 2 877892566 +268 800 1 875744501 +229 340 4 891632142 +197 259 1 891409422 +268 38 1 875744228 +42 77 5 881108684 +130 41 3 875801662 +412 173 5 879717649 +222 281 3 878184596 +248 405 4 884536165 +264 179 5 886122031 +435 760 1 884133330 +307 214 5 879283091 +118 217 3 875385257 +355 307 4 879486422 +445 123 1 891200137 +394 559 4 880888746 +83 35 1 886534501 +406 942 4 882480890 +373 1079 4 877100061 +429 455 3 882386628 +200 420 5 884129837 +405 530 1 885547953 +20 98 3 879669547 +24 358 3 875246012 +301 737 2 882078906 +366 56 5 888857750 +198 559 3 884208739 +16 629 4 877720437 +268 233 3 875310412 +432 546 3 889416657 +407 68 4 875045269 +41 181 4 890687175 +269 396 4 891451856 +246 930 2 884924764 +429 162 4 882386378 +405 652 1 885547360 +1 161 4 875072303 +56 164 4 892910604 +392 129 4 891038945 +181 472 1 878963380 +7 541 2 891354662 +214 324 5 892668173 +154 708 4 879139003 +327 313 4 887744167 +293 1226 3 888905198 +45 108 4 881014620 +178 458 3 882824467 +303 452 2 879544276 +119 717 3 874775945 +361 513 5 879441215 +298 596 3 884126288 +70 69 4 884065733 +151 420 5 879524760 +292 135 4 881105701 +416 71 4 876699994 +451 323 4 879012510 +393 725 2 889731501 +450 566 4 882373928 +197 665 4 891410124 +181 985 1 878962465 +378 921 4 880056667 +185 447 4 883526268 +130 230 3 876251895 +374 1042 5 880937920 +347 959 5 881654545 +237 185 4 879376773 +82 240 1 884714385 +387 69 3 886480413 +22 168 5 878886517 +145 933 1 875270276 +104 713 3 888465491 +267 294 3 878970155 +222 261 1 878181251 +262 923 4 879962542 +43 215 5 883955467 +275 451 3 880315170 +303 152 4 879468274 +144 160 2 888106181 +391 238 5 877399659 +452 1109 2 875273609 +330 77 4 876547220 +197 323 3 891409422 +409 181 4 881109019 +442 559 2 883390048 +210 179 3 887736429 +453 125 3 877561349 +184 517 4 889909409 +381 135 5 892697150 +447 823 3 878855165 +454 182 3 888266685 +16 195 5 877720298 +447 544 4 878854997 +233 56 5 877661776 +345 312 3 884900709 +405 1550 3 885547691 +301 831 4 882075338 +451 882 1 879012812 +5 364 1 875636571 +325 100 4 891478504 +345 972 4 884993464 +454 418 3 888267128 +328 474 4 885046455 +234 472 2 891228099 +450 496 5 882373532 +407 82 3 876341409 +374 230 5 880396622 +158 204 4 880135001 +286 949 4 877534859 +243 778 4 879988663 +305 527 5 886323189 +38 234 5 892431607 +393 100 1 887744053 +82 1164 2 878768790 +13 516 5 882141485 +325 507 3 891478455 +387 83 4 886480244 +286 423 4 877532385 +276 803 2 874791487 +312 968 5 891698987 +417 1039 3 879647196 +145 1002 1 888398400 +87 201 2 879876673 +332 120 4 887938818 +161 135 2 891170656 +450 679 1 882374422 +341 887 5 890757745 +56 77 3 892679333 +343 921 4 876406640 +365 948 1 891303809 +325 99 5 891479244 +168 742 5 884287362 +64 232 2 889740154 +185 275 4 883524320 +293 653 5 888906119 +216 652 4 880235546 +293 637 3 888907186 +269 176 2 891448980 +1 62 3 878542282 +275 946 3 875154535 +393 840 4 887744658 +337 1016 4 875184825 +253 79 5 891628518 +198 174 5 884208326 +450 387 5 882376446 +234 848 3 892334577 +174 347 4 886432844 +96 1154 5 884403993 +279 616 3 890451408 +156 48 4 888185777 +437 1113 4 881002161 +394 552 3 881060176 +295 395 4 879519501 +327 226 3 887820341 +318 517 3 884496069 +393 148 4 887744419 +332 53 3 888360438 +393 41 4 889728736 +44 147 4 878341343 +405 522 1 885545975 +154 527 4 879139040 +312 179 5 891698793 +26 13 3 891373086 +85 511 4 879454112 +234 1459 3 892335261 +436 658 5 887769673 +125 568 5 879454277 +429 219 4 882386848 +389 4 4 879991352 +453 98 4 877554396 +271 272 3 885844583 +234 751 2 891033394 +238 258 3 883575728 +371 79 5 880435519 +303 759 1 879544385 +263 188 5 891299031 +416 117 5 893212930 +354 52 5 891217547 +22 204 5 878886607 +198 1094 1 884206807 +452 152 2 875264826 +344 251 5 889814518 +435 160 5 884133194 +455 135 5 879111248 +195 55 4 888737417 +233 515 5 875508080 +174 597 3 886434261 +450 908 1 885945114 +65 429 4 879216605 +198 501 4 884209264 +417 628 3 879646413 +360 269 4 880353525 +261 1237 3 890454045 +416 1092 3 886320054 +347 25 2 881652684 +196 1118 4 881252128 +39 300 3 891400280 +405 1424 1 885546725 +438 15 4 879868242 +444 50 5 890247287 +49 100 4 888067307 +277 274 4 879543902 +125 88 5 879455184 +344 486 4 884901156 +334 628 4 891544867 +90 45 3 891385039 +280 655 3 891700400 +89 952 2 879441400 +346 186 3 874948303 +195 132 5 875771441 +399 274 3 882512167 +160 218 4 876861878 +193 260 1 889123777 +344 255 4 889814555 +17 744 3 885272606 +311 265 5 884364812 +160 603 4 876861754 +175 132 3 877107712 +413 7 3 879969614 +43 56 5 875975687 +396 986 4 884646537 +120 148 3 889490499 +379 4 5 880525598 +190 895 3 891033327 +99 978 3 885679382 +429 467 4 882385210 +193 352 1 889123777 +269 498 4 891448926 +435 188 4 884131901 +174 122 1 886434421 +13 109 4 882141306 +13 431 1 882397271 +116 730 4 876453519 +445 12 2 890987617 +314 781 3 877891937 +318 697 5 884496008 +58 13 3 884304503 +354 136 5 891217717 +158 235 1 880132794 +87 628 4 879877709 +294 749 3 877818915 +26 742 3 891352492 +378 12 5 880046132 +334 135 4 891545793 +279 40 4 875306910 +366 184 4 888857866 +406 1267 3 882480710 +255 441 2 883216544 +450 265 5 882371526 +232 919 3 888550036 +246 176 4 884921613 +361 435 5 879440345 +412 634 5 879716918 +449 1009 4 879959190 +450 1226 4 887660820 +64 311 2 889737269 +216 928 3 880233026 +265 591 5 875320424 +30 7 4 875140648 +429 410 4 882387451 +64 4 3 889739138 +403 258 4 879785703 +445 763 2 891200233 +269 597 1 891450978 +417 614 3 879648156 +301 179 3 882076494 +234 651 4 892078485 +104 331 3 888442140 +406 732 4 880131666 +206 309 2 888179647 +167 235 3 892737972 +70 625 3 884151316 +4 354 5 892002353 +330 161 4 876545999 +95 443 3 879198747 +181 841 1 878963204 +417 127 4 879646144 +454 633 2 881959745 +389 699 5 880088038 +158 154 4 880135069 +405 217 1 885548385 +157 268 5 886889729 +102 363 2 888801622 +327 1131 4 887822736 +379 23 4 880524783 +276 876 3 885537717 +200 140 4 884129962 +454 181 3 881959187 +308 226 3 887740833 +79 1017 3 891271697 +99 406 3 885679353 +292 190 5 881105625 +160 1 4 876768025 +296 652 4 884197068 +89 815 4 879441637 +299 175 5 879123190 +92 1012 4 886443231 +361 654 4 879441253 +303 1187 4 879467895 +416 959 5 893213404 +227 1017 4 879035464 +64 52 3 889739625 +435 554 3 884133194 +296 89 5 884197352 +303 229 3 879468581 +228 272 5 889388440 +319 333 4 875707746 +94 161 3 891721439 +321 14 3 879438825 +448 1294 1 891887161 +452 495 4 875560508 +267 80 4 878973597 +92 802 2 875907134 +337 121 5 875185664 +102 720 2 888801812 +279 273 2 880869018 +450 183 4 882394180 +310 222 3 879436062 +154 479 4 879138831 +83 405 5 887665423 +43 732 4 883955498 +268 97 4 875310031 +92 410 3 875640583 +43 77 3 883955650 +407 476 2 884203501 +234 1456 4 892335142 +164 237 2 889401816 +330 527 3 876546071 +373 709 5 877105451 +271 644 3 885848916 +130 295 3 874953698 +193 928 2 889126609 +160 50 4 876767572 +439 14 5 882893245 +307 186 5 879283625 +432 1047 5 889416118 +416 332 4 876696823 +145 739 2 875272927 +429 1224 2 882387114 +75 411 5 884050760 +405 88 3 885547360 +445 1245 1 891200390 +363 91 4 891495238 +436 433 5 887770428 +393 831 1 887745454 +173 879 5 877557076 +382 639 3 875946881 +336 1098 3 877757790 +416 64 5 893212929 +26 1008 3 891377609 +380 483 4 885478668 +436 1206 3 887769868 +303 809 2 879543524 +246 743 1 884924780 +73 518 5 888625835 +389 1518 2 880165787 +48 71 3 879434850 +334 319 3 891544233 +406 164 5 882480748 +267 228 5 878972434 +18 527 4 880130109 +314 739 5 877889861 +385 942 2 879446208 +246 265 4 884921411 +130 1273 2 880396792 +330 95 5 876546105 +5 209 5 875636571 +297 70 5 875239619 +87 120 2 879877173 +178 895 3 884836516 +332 684 5 888360370 +321 730 3 879439179 +437 451 5 880143115 +320 62 4 884749306 +447 148 4 878854729 +401 70 4 891033625 +251 288 4 886271541 +110 1188 4 886988818 +314 409 4 877889480 +94 1147 4 886008354 +436 503 4 887769802 +347 241 3 881654386 +452 134 3 875265446 +396 1 4 884646346 +130 202 5 875216507 +423 269 3 891394558 +276 581 4 886483710 +222 222 4 877563462 +280 288 5 891700184 +244 566 4 880607489 +295 371 4 879518257 +423 15 4 891395573 +168 259 2 884287073 +205 328 3 888284454 +183 294 3 891467280 +167 949 1 892738341 +452 736 3 887890174 +193 327 1 889123777 +349 288 3 879466118 +391 748 3 877398619 +398 58 4 875717106 +140 872 3 879013651 +440 886 5 891550404 +374 369 1 880393864 +320 38 4 884751288 +244 40 2 880608016 +308 686 4 887739831 +224 686 4 888104030 +397 327 2 875063649 +271 312 2 885847280 +11 51 4 891906439 +344 535 3 889814539 +109 1023 2 880572350 +199 989 1 883782509 +43 950 3 883956417 +181 147 1 878963168 +258 690 4 885700811 +450 1037 2 882473760 +60 478 3 883326463 +85 1131 4 879454111 +62 763 1 879372851 +362 294 3 885019357 +326 525 5 879874989 +176 270 4 886047069 +81 222 2 876533619 +95 560 1 880572166 +21 327 3 874950932 +416 174 5 893213917 +397 183 4 885349348 +129 288 1 883245452 +354 211 2 891306946 +409 203 5 881107539 +119 282 5 874775136 +224 1441 3 888104522 +301 743 2 882075356 +350 604 5 882346086 +325 133 3 891478333 +121 275 4 891390233 +396 977 3 884646468 +211 228 3 879460096 +52 742 4 882922540 +313 66 1 891015049 +448 360 4 891887338 +269 568 2 891450719 +326 603 4 879875203 +13 878 1 883670785 +286 91 4 877532470 +254 561 3 886475446 +392 8 5 891039049 +92 412 2 875640609 +392 511 5 891038945 +417 545 1 880953033 +401 65 4 891033250 +385 403 3 879447181 +214 185 5 892668173 +416 301 5 893213796 +87 4 5 879876524 +311 604 3 884364570 +210 127 5 887731230 +303 1210 1 879543773 +387 458 1 886481183 +354 740 4 891216692 +90 33 4 891383600 +144 942 4 888106044 +422 379 2 879744218 +26 926 2 891385692 +425 281 2 878738486 +130 68 5 875216283 +71 154 3 877319610 +407 746 4 875046268 +423 348 3 891394910 +374 717 3 880938255 +119 1261 4 874781198 +345 476 3 884991505 +43 879 4 876159838 +239 736 5 889179291 +145 431 5 875272132 +276 124 5 880913800 +68 125 1 876974096 +109 214 1 880577604 +347 127 5 881652434 +387 39 3 886483049 +125 1060 4 879454699 +393 54 4 889555050 +377 164 4 891299009 +265 934 3 875320574 +222 70 3 878181804 +258 289 2 885701004 +115 77 2 881171623 +405 318 5 885545167 +299 56 4 877880350 +405 670 1 885548384 +221 403 4 875245374 +211 69 3 879460213 +313 403 3 891028285 +398 65 3 875743739 +385 523 4 879441454 +299 170 5 889501190 +232 270 3 880062259 +130 721 3 880396278 +92 455 2 876769302 +326 48 3 879875533 +437 696 3 880142991 +395 64 5 883763958 +224 11 3 888082468 +200 393 4 884129410 +56 372 3 892911290 +354 584 5 891217782 +453 248 4 887942143 +27 325 2 891543191 +287 340 5 888177097 +115 269 3 881169559 +379 157 4 880961600 +334 449 3 891549539 +363 554 1 891498012 +106 956 3 881453290 +194 180 3 879521657 +72 38 3 880037307 +194 951 3 879525761 +181 278 2 878963440 +49 413 1 888067460 +357 977 5 878952287 +408 258 3 889679857 +92 209 5 875652934 +348 1061 5 886523790 +442 41 4 883388609 +194 64 5 879521936 +61 347 5 892302120 +48 228 3 879434792 +399 475 5 882340827 +58 89 3 884305220 +43 155 4 883956518 +455 629 3 879111371 +374 310 5 880392237 +115 22 3 881171273 +18 961 3 880131830 +409 87 3 881108777 +389 142 3 880088878 +11 191 4 891904270 +26 1009 2 891384478 +387 203 4 886483330 +236 69 5 890116426 +130 564 4 875802137 +244 739 3 880604004 +416 266 3 876696853 +193 194 4 889125006 +119 1160 5 887038711 +290 742 2 880475310 +307 82 4 875645340 +189 820 1 893264782 +391 127 5 877399236 +318 792 2 884496218 +342 815 4 875318629 +373 100 3 877100199 +326 86 2 879875644 +312 204 4 891698254 +314 88 5 877888007 +308 284 4 887741554 +269 1154 3 891449608 +374 168 1 880434231 +167 719 1 892738341 +81 147 4 876533389 +94 92 4 891721142 +82 513 4 878769334 +422 200 5 879744015 +303 268 5 879466166 +322 514 4 887314352 +213 100 5 878870749 +148 588 4 877399018 +270 181 4 876954036 +230 70 4 880484637 +85 95 4 879455114 +253 333 2 891628883 +251 252 3 886272456 +16 496 5 877721905 +373 559 3 877106305 +442 578 2 883390466 +5 391 4 875636167 +301 176 4 882075774 +344 295 3 889814571 +49 268 3 888065620 +255 234 5 883216448 +151 729 4 879542492 +23 50 4 874784440 +160 1073 4 876859778 +273 305 4 891292905 +7 653 4 891351161 +374 544 1 880937070 +58 120 2 892242765 +405 28 4 885544947 +271 485 4 885848827 +301 443 4 882078008 +394 228 5 881132876 +313 516 4 891028829 +262 1048 2 879791335 +326 615 4 879875724 +338 435 4 879438597 +160 1016 4 876767440 +299 607 4 877881229 +256 1090 2 882164999 +145 620 3 875271660 +391 507 4 877399512 +60 199 5 883326339 +328 7 4 885046079 +51 485 1 883498790 +62 14 4 879372851 +301 552 3 882078267 +91 97 5 891438947 +392 298 1 891038205 +184 742 3 889908026 +380 114 3 885478539 +222 120 2 881061304 +405 437 1 885548435 +389 151 4 879916135 +222 763 3 881061165 +14 285 5 879119118 +363 154 4 891496306 +298 99 3 884127249 +93 125 1 888705416 +380 465 4 885478845 +287 208 4 875334896 +301 120 2 882079423 +141 290 1 884584817 +335 288 4 891566952 +374 233 3 880937876 +222 403 3 878183481 +435 173 5 884131085 +274 471 4 878945505 +433 50 5 880585885 +297 118 3 875239495 +450 194 5 882373786 +377 1105 3 891296275 +293 924 2 888904814 +436 742 5 887769050 +22 871 3 878886750 +222 808 3 881060130 +37 948 4 880915407 +62 162 4 879375843 +389 1286 5 880087873 +448 262 4 891888042 +457 182 4 882396659 +235 79 4 889655468 +447 234 4 878855782 +454 161 4 888267198 +456 175 3 881372946 +6 100 5 883599176 +342 160 3 874984365 +397 117 3 885349610 +181 690 3 878961511 +334 408 4 891547912 +339 1 5 891032349 +425 259 1 890346825 +206 313 5 888179565 +379 82 4 880525540 +450 902 4 889569016 +417 762 3 879646712 +405 192 5 885545401 +96 96 4 884403531 +387 55 3 886479649 +62 921 2 879375287 +145 796 3 875272833 +258 272 5 885700811 +324 9 5 880575449 +339 196 4 891033416 +358 59 4 891269617 +125 50 5 892836362 +417 1047 4 879646388 +426 429 5 879444081 +287 748 4 875333873 +405 1586 1 885549464 +303 185 5 879467465 +25 275 4 885853335 +24 117 4 875246216 +60 1123 4 883327997 +416 734 3 886319434 +192 258 5 881366456 +406 647 5 879792811 +286 214 1 889651605 +283 194 4 879298295 +12 318 5 879960826 +414 294 2 884999128 +154 135 5 879139003 +91 357 5 891439271 +440 1038 5 891550404 +343 100 5 876402668 +267 727 4 878972289 +328 623 3 885048801 +433 325 2 880585554 +428 343 2 885944093 +60 443 4 883327847 +354 498 4 891217610 +343 188 4 876407749 +320 156 5 884750574 +410 748 2 888626857 +303 825 3 879485016 +64 125 2 889739678 +263 22 5 891298107 +174 476 4 886434136 +453 246 5 877552590 +125 801 3 892838424 +301 22 4 882075859 +416 246 4 876697205 +88 886 5 891038103 +451 294 5 879012470 +435 185 4 884131741 +287 250 3 875334060 +393 313 4 887742040 +184 164 3 889911434 +405 1318 1 885549789 +276 549 3 874791194 +420 302 4 891356790 +444 751 4 890247172 +417 23 3 879647118 +234 218 2 892335541 +394 117 5 880887462 +426 486 3 879444604 +34 286 5 888602513 +366 854 5 888857750 +114 179 5 881260611 +233 249 5 883356871 +354 479 4 891217249 +378 110 3 880333027 +92 925 3 875640214 +401 13 2 891033204 +148 993 4 877400154 +73 173 5 888625292 +55 257 3 878176084 +217 176 4 889069842 +94 810 3 891723076 +207 191 4 877124663 +123 143 5 879872406 +442 129 4 883391146 +99 472 3 885679210 +429 127 4 882384603 +76 327 3 875027271 +201 100 4 884111485 +436 226 4 887770640 +287 298 4 875333965 +157 508 5 886890712 +343 52 5 876404793 +437 652 4 881001983 +393 36 3 889731618 +206 340 3 888180082 +98 173 1 880498935 +425 210 3 890346998 +130 433 3 875216718 +450 1263 4 882396799 +85 250 3 882592687 +366 219 5 888857932 +379 270 3 888646058 +380 449 3 885480902 +397 657 5 885349759 +361 173 5 879440774 +347 721 5 881654715 +305 237 2 886322796 +181 986 2 878963038 +447 100 5 878854552 +398 152 4 875721702 +160 969 1 876861185 +214 340 3 891542735 +327 344 4 887744167 +293 747 2 888905819 +394 97 4 880888223 +449 282 3 879958953 +42 866 4 881105972 +264 671 4 886122261 +439 13 3 882893171 +222 215 4 878183481 +248 114 5 884534901 +82 1162 1 884714361 +388 326 5 886438122 +62 55 5 879373692 +390 328 4 879693677 +307 145 4 879283672 +55 273 5 878176047 +224 15 4 888103611 +15 815 1 879456108 +89 213 4 879459859 +250 96 2 878090254 +130 890 4 880396249 +374 651 4 880395320 +254 1133 3 886475682 +318 142 4 884496219 +186 596 4 879024459 +96 79 4 884403500 +311 451 3 884366397 +450 64 4 882373656 +452 435 3 885476560 +99 273 5 886780105 +308 492 3 887737535 +90 514 3 891384423 +65 216 4 879217912 +393 805 2 889555410 +450 1036 2 882468686 +367 379 4 876690048 +385 257 3 879440236 +150 458 4 878746720 +254 679 2 886472434 +330 73 5 876546782 +380 631 4 885478668 +274 164 5 878946644 +409 325 4 881105077 +238 298 5 883576398 +268 1065 4 875310824 +97 357 5 884239493 +221 76 4 875246662 +313 218 2 891029847 +10 144 4 877892110 +450 942 5 882812558 +109 380 5 880578093 +268 527 4 875309430 +354 131 3 891217811 +312 520 5 891698254 +145 238 4 882181859 +253 98 5 891628295 +354 692 2 891307114 +458 1101 4 886397931 +270 258 3 876953744 +429 1028 3 882386601 +381 133 5 892697413 +12 282 5 879960679 +13 678 3 882140792 +392 872 4 891037790 +52 475 4 882922357 +198 660 4 884208624 +262 736 3 879794829 +342 1163 3 875318266 +442 572 3 883391344 +314 111 4 877886641 +279 831 5 875744257 +288 318 4 886374316 +256 121 5 882151123 +401 473 1 891034050 +303 948 2 879466249 +280 1181 2 891700496 +99 338 4 885678539 +194 95 3 879521719 +347 98 5 881654359 +96 198 5 884403465 +405 941 1 885546577 +164 1025 4 889401510 +92 727 4 875653242 +381 485 4 892696347 +41 286 4 890685449 +303 286 5 879465986 +293 22 3 888905819 +311 318 5 884364569 +58 194 3 884304747 +338 480 5 879438114 +117 298 5 886020525 +407 163 3 876338691 +16 812 2 877723882 +92 725 3 875907727 +274 181 5 878945365 +129 327 3 883244060 +416 230 4 886316797 +308 675 4 887740367 +450 467 4 882374332 +447 68 5 878855819 +390 289 3 879693677 +239 340 5 889178513 +220 268 4 881197771 +339 411 2 891035420 +409 168 5 881107410 +276 154 4 874791747 +267 222 4 878970681 +13 210 3 882140455 +451 300 4 879012550 +430 129 5 877225547 +437 1153 5 880141962 +256 748 4 882150192 +303 507 5 879466604 +401 162 5 891033395 +437 118 2 880142991 +416 54 5 893212929 +295 191 5 879517033 +125 1249 3 892838322 +181 329 1 878961781 +219 215 5 889403843 +313 226 4 891028241 +383 483 5 891192986 +406 238 2 879445475 +222 248 4 877563506 +182 123 4 885612994 +184 254 2 889907569 +295 94 4 879518339 +256 831 4 882152943 +325 345 3 891477660 +160 864 1 876770673 +128 54 2 879968415 +437 499 5 880141962 +327 419 4 887822832 +116 993 2 876453376 +267 480 4 878971438 +378 665 2 880333261 +13 524 4 886302261 +48 425 3 879434850 +405 565 2 885548474 +307 462 4 879284095 +258 332 5 885701024 +181 763 1 878962955 +5 379 3 875720814 +416 287 4 878879237 +130 684 5 875802236 +184 942 3 889909768 +46 294 2 883611307 +378 328 3 892382903 +378 433 4 880045652 +407 418 4 876338910 +43 237 4 875975579 +246 1232 1 884923425 +398 393 5 875732738 +450 1212 4 882396799 +355 872 4 879486529 +397 322 1 875063613 +399 273 3 882340657 +343 729 3 876407291 +458 144 4 886396390 +456 715 3 881373697 +108 471 2 879880076 +405 228 1 885547910 +94 23 5 885870284 +296 269 5 884196258 +151 546 2 879543400 +102 1239 2 888802319 +314 246 5 877886375 +295 142 4 879518590 +345 235 3 884991285 +70 193 4 884149646 +63 1137 5 875747556 +325 483 5 891478079 +44 245 4 878340887 +268 554 3 875744388 +144 195 5 888105081 +308 692 3 887738469 +363 825 4 891497881 +334 840 4 891545674 +423 898 4 891394952 +436 845 5 887771269 +28 800 4 881961904 +82 519 4 878770028 +21 452 4 874951727 +451 872 2 879012857 +406 591 3 879446062 +406 713 4 879539855 +13 11 1 882397146 +346 176 4 874947747 +151 1109 4 879542414 +406 490 3 879446228 +311 480 4 884364593 +76 89 4 875027507 +97 202 5 884239449 +1 188 3 875073128 +70 186 4 884065703 +412 480 4 879717147 +312 713 5 891698334 +399 1459 3 882345473 +92 2 3 875653699 +321 20 3 879440160 +296 435 5 884197108 +363 1074 2 891497679 +268 1079 3 875742916 +328 203 5 885045931 +43 71 4 883955675 +290 205 3 880473777 +417 769 1 880953071 +267 1471 2 878974509 +345 1047 4 884991457 +57 298 3 883697293 +393 21 3 887744765 +457 704 4 882397240 +305 183 4 886324028 +37 265 4 880930072 +210 210 5 887730532 +455 293 4 879109110 +49 179 5 888066446 +85 208 5 879828941 +193 722 3 889126402 +221 109 2 875244369 +59 566 4 888206485 +7 553 3 892134010 +435 696 3 884132342 +184 497 4 889909409 +215 179 4 891435107 +154 414 4 879138910 +426 430 3 879445005 +364 269 4 875931309 +250 117 3 878089628 +457 636 4 882548466 +393 70 3 889555251 +243 1281 5 879989217 +345 272 5 884900426 +429 26 3 882386333 +222 111 3 877563820 +44 176 5 883613372 +224 403 4 888104522 +344 301 4 889813946 +450 97 4 882396351 +401 661 3 891033158 +301 719 4 882079542 +442 38 3 883390674 +394 979 5 881060177 +13 842 2 882399156 +42 276 1 881105405 +454 487 4 888266565 +422 477 4 875130027 +450 762 3 882469627 +379 52 4 880741002 +454 484 3 881960445 +379 177 4 886835699 +18 921 5 880132437 +347 151 3 881652480 +312 609 3 891698634 +407 949 3 875045685 +148 204 3 877016912 +327 9 5 887819860 +220 319 4 881197771 +317 323 2 891446819 +405 541 1 885548162 +35 332 4 875459237 +49 219 1 888067405 +101 1047 2 877136424 +159 412 3 880557824 +381 175 5 892696268 +303 1047 2 879485277 +385 87 3 879441942 +56 402 5 892677186 +334 1137 4 891544764 +267 450 2 878974128 +228 690 5 889387173 +198 280 3 884206401 +286 1504 4 877534903 +58 32 5 884304812 +345 582 5 884992807 +208 186 4 883108518 +6 480 4 883601089 +424 9 5 880859623 +246 101 2 884922740 +401 225 1 891032474 +299 278 3 877879980 +226 250 4 883890491 +1 102 2 889751736 +347 223 4 881653669 +426 182 2 879442702 +144 655 5 888105116 +370 604 4 879434804 +396 322 4 884645790 +457 443 4 882396989 +59 511 5 888204965 +82 265 4 878770169 +198 455 3 884206191 +128 402 1 879969136 +399 400 3 882349170 +405 514 1 885547221 +372 286 5 876868994 +450 143 5 882394364 +330 70 4 876546470 +336 158 3 877756618 +299 393 2 889503503 +183 270 3 891462811 +447 879 3 878854056 +407 62 3 876348318 +7 515 3 891350757 +83 391 2 880308783 +1 69 3 875072262 +322 182 5 887314417 +320 50 4 884749227 +385 189 5 881530739 +444 906 4 891979402 +351 286 5 879481386 +360 423 4 880355623 +343 546 1 876403348 +21 931 2 874951446 +130 554 4 876252288 +261 304 3 890454941 +89 150 5 879441452 +94 8 5 885873653 +450 583 4 882473914 +348 924 4 886523361 +367 200 4 876689962 +381 49 2 892696328 +405 623 1 885549004 +401 501 2 891033184 +218 100 4 877488692 +378 172 4 880045886 +234 288 3 891033738 +402 48 5 876267173 +332 54 4 888360396 +345 126 5 884991105 +158 124 4 880134261 +429 464 3 882386171 +393 1043 3 889728324 +442 636 5 883390416 +387 268 3 886479430 +379 152 5 880740518 +416 254 2 878879391 +125 479 4 879454386 +82 174 5 878769478 +379 603 5 880526074 +286 472 3 876522340 +294 406 2 877819941 +450 480 4 882372178 +119 982 4 874775406 +405 216 2 885547124 +64 157 4 879365491 +313 414 3 891016425 +359 246 3 886453214 +363 403 3 891496414 +62 47 4 879375537 +310 181 4 879436104 +92 367 3 875654533 +276 628 4 874786538 +406 511 5 879792811 +90 155 5 891385040 +270 253 5 876954733 +181 925 2 878963418 +177 59 4 880130825 +121 181 5 891390014 +215 354 4 891434619 +294 1132 4 889242788 +426 526 4 879444734 +176 303 3 886047118 +405 87 1 885546112 +393 223 4 887746119 +407 182 4 887833034 +328 222 3 885046655 +462 682 5 886365231 +269 100 5 891446246 +450 846 3 882471524 +327 1100 4 888251464 +383 197 5 891192888 +339 265 3 891034779 +391 300 2 877398619 +90 547 3 891385899 +213 318 5 878955533 +320 184 5 884749360 +354 605 3 891218271 +152 157 5 882476486 +442 29 3 883390641 +378 636 3 880055186 +110 790 4 886989399 +407 147 4 887833034 +327 195 4 887744277 +363 101 1 891496953 +130 331 3 875801345 +457 775 3 882551021 +286 393 4 877534481 +416 607 5 893212622 +29 294 4 882820730 +188 864 2 875072148 +387 1199 5 886480970 +271 38 2 885849648 +382 717 3 875946347 +30 1013 3 875060334 +334 512 4 891547148 +222 270 2 878181181 +387 24 5 886484522 +459 934 3 879563639 +92 955 4 875658312 +276 262 4 892436298 +96 176 4 884403758 +7 491 5 891351432 +276 652 4 889174849 +14 18 3 879119260 +254 136 4 886471695 +452 191 5 876299004 +210 420 4 887737487 +407 265 3 876344062 +228 98 3 889388607 +82 202 4 878769777 +450 561 4 887660762 +235 494 4 889655112 +267 216 4 878972586 +453 697 4 877561235 +409 133 4 881108455 +102 102 3 883748488 +259 317 5 874809057 +435 576 3 884133447 +63 1009 4 875747731 +305 1104 4 886323779 +377 313 5 891295989 +299 1214 2 889502528 +7 118 2 891353411 +423 300 3 891394874 +271 31 4 885849325 +173 268 4 877556626 +279 1108 1 892174273 +398 176 4 875725256 +63 255 4 875747556 +38 526 1 892430636 +59 227 3 888206015 +317 351 3 891446819 +92 73 3 875656474 +392 632 5 891039015 +425 1314 3 878738813 +388 690 5 886438540 +39 347 4 891400704 +367 567 4 876690077 +417 200 4 879647708 +436 1522 2 887771123 +409 604 4 881108364 +457 192 5 882395018 +7 537 3 891352749 +92 476 2 886443602 +43 302 4 887731794 +417 131 4 879647254 +94 431 4 891721716 +374 210 4 880395202 +247 28 5 893097024 +301 1012 4 882074613 +299 475 4 877877600 +73 271 2 888792294 +10 698 4 877888877 +427 319 3 879700486 +449 1194 4 880410624 +392 847 4 891039015 +393 323 2 887742916 +194 235 2 879541343 +434 406 3 886725027 +221 33 4 875246632 +16 7 5 877724066 +416 936 5 893214127 +454 87 4 881960296 +243 137 3 879987084 +277 285 4 879543486 +363 1052 3 891500134 +384 347 4 891273509 +295 648 4 879517324 +207 181 3 877878828 +268 302 5 876513584 +116 914 2 892683732 +381 459 4 892696738 +450 487 4 887660504 +244 628 4 880604346 +436 157 5 887768982 +184 995 3 889907044 +416 22 5 893212623 +326 234 3 879875797 +455 755 3 879112189 +457 708 4 882398002 +303 483 5 879466795 +100 1238 2 891375068 +397 479 4 885349865 +268 582 5 875309344 +303 940 2 879485659 +130 218 5 875801388 +7 53 5 891354689 +11 12 2 891904194 +297 222 4 874954845 +59 707 3 888205336 +458 648 4 886395899 +102 350 3 892990700 +324 307 5 880574766 +275 226 3 880314914 +85 179 4 879454272 +56 64 5 892678482 +194 70 3 879522324 +350 193 4 882347653 +119 322 4 874774449 +223 332 4 891548802 +456 943 4 881372946 +454 1299 2 888266991 +234 589 3 892078567 +429 229 2 882385613 +378 1107 3 880056351 +460 10 3 882912371 +215 227 5 891436469 +129 245 2 883245452 +425 322 3 890346597 +32 257 4 883717537 +83 1165 2 883868300 +145 122 1 888398307 +60 842 4 883327175 +397 705 5 885350045 +23 357 3 874785233 +116 299 3 876452133 +455 282 3 879109664 +207 79 4 875509888 +318 69 5 884496572 +297 47 2 875240090 +13 258 4 882139327 +15 300 4 879455166 +438 50 5 879868005 +377 56 4 891298407 +412 193 4 879717549 +336 1230 2 877757516 +401 485 4 891033092 +336 926 1 877758935 +102 577 3 892993895 +117 1014 3 886021192 +291 284 4 874833687 +10 474 4 877886783 +110 550 3 886988664 +270 77 2 876956038 +389 705 5 879991196 +90 1020 5 891384997 +87 90 2 879877127 +13 379 1 882396984 +290 515 3 880473918 +286 167 5 877533419 +91 526 4 891439471 +384 748 4 891274028 +313 542 3 891017585 +425 273 4 878738435 +393 202 3 887746015 +75 118 3 884050760 +43 51 1 883956562 +208 70 3 883108430 +120 125 4 889490447 +295 496 5 879517682 +332 174 5 888359866 +186 95 3 879024535 +200 739 4 884130046 +370 153 2 879434832 +380 300 3 885481179 +20 87 5 879669746 +394 423 5 881057839 +452 641 3 875266415 +137 597 5 881432987 +241 302 3 887249576 +178 39 2 882827645 +204 874 3 892388976 +131 285 5 883681723 +59 173 5 888205144 +160 412 3 876768990 +44 161 4 878347634 +28 258 5 881955018 +436 546 3 887771826 +276 198 5 874795949 +275 435 3 880313886 +110 423 4 886987952 +456 294 1 881375667 +457 366 4 882549287 +406 24 3 879540026 +450 2 4 882474001 +234 434 3 892079288 +23 109 3 874784466 +21 320 3 874951658 +1 170 5 876892856 +436 66 5 887770457 +385 1021 5 879441572 +222 825 3 878184675 +391 222 2 877399864 +462 895 4 886365297 +268 288 4 875306477 +21 706 2 874951695 +207 527 4 877879172 +291 288 5 874805453 +60 524 4 883325994 +438 9 4 879868005 +297 69 3 875240171 +461 50 3 885356089 +447 252 3 878854975 +92 82 2 875654846 +28 443 4 881961671 +417 1550 3 879648707 +204 303 5 892389020 +201 658 3 884111677 +103 252 2 880420020 +321 190 4 879439562 +22 651 4 878887810 +279 407 4 875297479 +13 547 1 882397011 +198 198 4 884207654 +437 423 5 880141196 +404 328 4 883790749 +452 61 1 887718917 +409 527 4 881109175 +5 381 1 875636540 +450 237 5 887660650 +244 856 5 880602002 +308 482 5 887738152 +365 272 4 891303357 +72 7 1 880036347 +178 260 1 886678700 +222 1218 1 878183218 +313 391 3 891028360 +128 196 5 879967550 +322 188 3 887314244 +405 1066 1 885549111 +312 372 3 891699568 +421 238 5 892241576 +313 23 4 891013742 +168 9 1 884287394 +215 176 5 891435804 +168 930 3 884288243 +59 756 2 888203658 +374 466 5 880394929 +244 959 4 880607684 +385 486 2 879442189 +425 448 2 878738887 +200 419 4 884129232 +18 663 4 880129454 +59 64 5 888204309 +288 346 5 886372155 +177 23 5 880130758 +7 99 5 891352557 +145 688 4 875269822 +401 154 1 891033184 +189 89 5 893265624 +367 234 4 876690098 +119 755 1 886176678 +279 156 4 875306580 +324 322 4 880575163 +450 39 4 882376282 +246 831 1 884924025 +79 1022 5 891271792 +174 723 5 886514448 +255 322 2 883215723 +109 67 5 880580719 +199 508 4 883782899 +209 333 2 883589568 +314 1473 4 877891089 +190 539 2 891033370 +151 209 4 879524443 +109 173 5 880572786 +92 500 4 883433734 +435 343 5 884130744 +263 496 5 891298218 +90 609 5 891384357 +457 500 5 882553112 +234 1064 4 892333683 +329 282 3 891656300 +145 732 4 875272833 +4 271 4 892001690 +90 151 2 891385190 +194 939 3 879550615 +264 240 4 886124352 +231 289 4 888605273 +316 507 3 880853704 +416 1012 4 876697205 +83 597 2 891182270 +378 959 3 880046408 +94 7 4 885873089 +298 511 4 884127690 +92 56 5 875653271 +170 288 3 884706012 +435 434 2 884131542 +346 571 3 875264262 +189 198 4 893265657 +311 584 3 884365485 +276 734 1 877935262 +222 318 5 878181934 +417 250 4 879646463 +335 333 4 891566952 +459 596 3 879562939 +95 190 4 888954513 +13 757 3 882398934 +117 179 5 881012776 +409 173 3 881108246 +245 21 3 888513502 +247 269 4 893097024 +437 727 3 881001576 +230 141 4 880485489 +213 199 5 878956000 +116 872 3 876452228 +407 179 3 875046427 +299 606 4 889501393 +13 234 5 882140252 +331 475 3 877196173 +460 327 4 882912418 +18 404 4 880132055 +431 879 3 877844489 +346 147 4 874950172 +393 470 4 889554730 +95 597 3 879194663 +59 670 4 888206485 +389 510 3 880165367 +161 309 2 891170018 +435 410 5 884133733 +416 213 5 893213443 +313 662 3 891031576 +22 665 1 878888145 +276 325 3 874786419 +405 423 5 885545306 +70 175 3 884150422 +321 45 4 879439763 +363 44 3 891496927 +210 926 2 887730909 +459 194 3 879566291 +48 647 4 879434819 +251 1012 4 886272175 +385 1097 5 879440158 +224 366 3 888104457 +90 515 5 891385165 +335 258 1 891566808 +327 1019 3 887746665 +268 1476 2 876513897 +125 474 3 892836422 +398 663 2 875735255 +194 100 4 879539305 +64 300 3 879365314 +297 53 3 875239942 +450 778 3 887834953 +417 77 3 879649304 +1 38 3 878543075 +199 1 1 883782854 +249 250 4 879571678 +308 213 4 887739382 +316 191 5 880854539 +303 2 3 879467191 +347 273 5 881652456 +15 926 1 879456424 +134 316 4 891732418 +269 1017 5 892567767 +124 98 4 890287822 +379 179 5 880525132 +399 969 3 882346728 +139 1176 4 879538080 +457 243 2 882393104 +222 233 2 881060205 +316 276 2 880853849 +96 185 5 884403866 +334 945 4 891545973 +137 121 5 881432881 +334 531 5 891545949 +339 56 5 891032221 +1 9 5 878543541 +215 23 3 891436048 +405 1110 1 885547644 +336 41 3 877757477 +454 479 4 881959991 +159 918 4 893255798 +451 360 3 879012858 +7 565 4 892132019 +405 463 1 885548836 +144 173 5 888105902 +269 502 3 891449842 +255 245 1 883215723 +346 132 4 875261235 +387 184 3 886481634 +194 1045 2 879524644 +399 93 3 882512192 +50 288 4 877052008 +238 125 3 883576230 +322 150 4 887314027 +354 792 4 891217340 +385 455 4 879440701 +405 227 1 885548049 +207 1333 3 877995615 +312 512 3 891698951 +90 216 5 891383626 +59 1005 5 888206363 +250 50 5 878089393 +249 298 4 879571715 +214 527 4 891544089 +429 1545 2 882385518 +37 68 5 880915902 +180 729 5 877355598 +405 197 4 885545167 +250 687 1 883263007 +374 120 3 882158147 +43 211 4 883955785 +392 268 5 891037385 +457 527 5 882553113 +364 875 3 875931585 +405 393 4 885547314 +450 815 3 882396153 +144 213 4 888105387 +246 758 1 884924813 +346 550 4 886273914 +73 59 5 888625980 +344 73 3 884901371 +387 1537 4 886480681 +363 333 1 891493634 +268 284 3 875742407 +467 1017 2 879532403 +271 107 1 885848179 +233 509 4 877663646 +149 262 1 883512623 +43 278 3 884029259 +130 343 4 881536273 +304 294 4 884968415 +438 321 5 879867960 +9 276 4 886959423 +397 302 5 889760703 +73 135 5 888626371 +330 118 5 876544582 +457 1030 2 882551134 +256 98 5 882164696 +449 224 4 879958758 +426 527 3 879444550 +105 324 4 889214245 +468 926 2 875280331 +13 89 4 882139717 +84 245 4 883449530 +18 762 3 880132103 +328 448 3 885046744 +279 474 5 892173363 +181 137 2 878962465 +145 259 3 875269871 +102 667 3 888803002 +213 214 5 878955816 +106 1028 3 883876085 +450 708 4 882397049 +416 966 5 893212483 +308 23 5 887737293 +90 965 5 891383561 +207 15 4 876198392 +82 97 4 878769777 +347 597 3 881652788 +62 710 3 879375453 +91 211 2 891439208 +119 52 3 890627339 +222 183 4 878181535 +355 358 4 879485523 +99 815 2 885679237 +380 573 1 885480737 +160 405 3 876770441 +273 315 4 891292846 +116 193 4 876453681 +299 289 3 877877323 +130 305 4 886023938 +437 166 4 880140398 +422 1 3 875130063 +452 27 5 885816916 +64 405 3 889739288 +328 595 3 885048500 +94 525 5 891721439 +70 405 3 884149117 +457 164 4 882547645 +380 529 3 885479235 +423 355 3 891395020 +431 323 3 877844559 +62 9 4 879372182 +90 617 4 891383835 +339 269 5 891032379 +121 792 3 891388250 +458 191 5 886396192 +267 566 3 878973047 +181 294 2 878961173 +145 771 2 888398867 +179 893 2 892151565 +90 493 5 891383600 +223 620 2 891550253 +315 461 4 879799457 +363 258 3 891493603 +11 750 5 891901629 +293 549 3 888907166 +77 133 2 884752997 +450 400 3 882468790 +10 82 4 877886912 +109 1060 4 880571661 +466 308 1 890282957 +339 89 5 891033416 +280 77 3 891702086 +12 170 4 879959374 +92 208 4 875656288 +344 357 5 884814432 +426 199 5 879442702 +233 501 3 877663383 +393 316 5 889554297 +416 1478 2 886319906 +102 327 2 884870872 +426 651 4 879442702 +90 52 5 891385522 +439 242 5 882892424 +328 177 3 885047099 +393 99 3 889727536 +405 1391 1 885549789 +405 1168 1 885546725 +256 583 5 882164603 +90 127 4 891383561 +17 117 3 885272724 +360 10 5 880354624 +435 729 2 884133757 +272 79 5 879455015 +95 532 4 881011974 +74 354 3 888333194 +323 238 4 878740017 +437 5 2 880143663 +363 557 1 891496103 +389 526 3 880087200 +437 214 4 880141041 +10 510 5 877892209 +327 672 2 887746328 +249 114 5 879572314 +312 1167 4 891699295 +7 465 4 891353154 +437 50 5 881000958 +422 100 4 875129791 +159 273 5 880485935 +157 476 1 886891173 +64 168 5 889739243 +233 603 4 880190566 +28 11 4 881956144 +445 291 2 891200233 +447 300 4 878854011 +224 286 3 888081843 +401 248 3 891032367 +174 158 2 886514921 +83 64 5 887665422 +345 381 4 884993505 +59 845 5 888203579 +355 242 4 879486529 +393 161 4 887746883 +378 768 4 880333598 +276 98 5 874792663 +404 342 3 883790750 +259 179 4 877924028 +169 211 5 891359200 +301 607 4 882077176 +32 508 4 883717581 +405 949 5 885545702 +381 89 5 892696426 +174 433 5 886514757 +367 769 3 876690077 +322 64 5 887314148 +79 582 5 891271806 +435 216 3 884131118 +312 71 4 891699599 +186 243 2 879024099 +375 525 4 886621917 +430 253 1 877225484 +412 508 4 879716962 +399 228 2 882347783 +373 1113 1 877099968 +94 1118 4 891722482 +2 277 4 888551174 +378 724 3 880055520 +6 536 4 883599400 +268 391 3 876513897 +468 461 4 875291570 +158 20 4 880134261 +379 203 4 880526100 +4 300 5 892001445 +207 841 3 876018501 +432 250 1 889415895 +186 1016 5 879023643 +194 491 3 879520916 +81 1 4 876534949 +148 432 5 877019698 +416 202 4 876699334 +38 112 5 892432751 +195 47 5 876632643 +343 463 4 876404793 +378 231 3 880333327 +399 364 4 882350813 +426 848 4 879444117 +456 448 3 881374586 +299 204 4 889503112 +200 58 4 884129301 +257 324 5 879029543 +399 67 3 882350899 +75 413 2 884050979 +49 1066 2 888067187 +314 1229 2 877891681 +437 658 4 880141335 +389 965 5 880087599 +13 23 5 882139937 +11 168 3 891904949 +115 237 2 881171075 +345 196 5 884902317 +37 89 4 880930072 +332 106 4 887938687 +276 258 5 874786337 +422 358 2 875129640 +294 1079 2 889242624 +82 238 3 878769373 +430 237 5 877225965 +297 447 4 875239691 +18 403 3 880132103 +87 405 4 879875893 +201 223 4 884113343 +347 172 5 881653933 +55 597 2 878176134 +308 31 3 887739472 +373 215 4 877099211 +320 95 3 884751418 +437 283 1 880141716 +326 89 4 879875398 +312 653 5 891698365 +328 333 3 885044418 +330 67 4 876547500 +145 12 5 882182917 +95 815 3 879193708 +323 204 3 878739771 +158 430 5 880135093 +89 269 5 879461219 +176 347 4 886047442 +13 435 5 882141392 +144 68 2 888105665 +139 296 4 879538218 +182 257 3 885613117 +7 584 4 891352093 +82 588 5 878769917 +94 318 5 891721191 +65 378 5 879217032 +301 474 4 882075803 +313 768 3 891030367 +345 1221 3 884993703 +308 495 3 887740131 +292 20 2 881104760 +293 26 3 888907015 +460 257 2 882912342 +49 218 2 888068651 +437 485 4 880140854 +246 250 4 884924327 +402 245 1 876266860 +343 358 1 876402493 +416 168 5 893212929 +442 591 3 883391221 +349 20 5 879465642 +334 111 3 891547445 +243 14 3 879987239 +267 29 3 878973426 +458 318 4 886397771 +109 1222 4 880579758 +102 230 2 888801232 +416 85 3 893210246 +194 485 3 879546498 +269 928 1 891451754 +1 246 5 874965905 +406 22 3 882480671 +181 471 2 878962919 +269 425 5 891448345 +201 773 4 884112627 +411 451 4 892845634 +328 383 3 885049880 +333 300 4 891044389 +442 22 2 883390813 +197 188 3 891409982 +43 88 5 883955702 +457 720 3 882550925 +54 829 2 880937311 +37 550 4 880915902 +210 411 3 887730931 +11 370 3 891902880 +151 627 2 879542796 +212 382 5 879303929 +347 233 5 881654653 +380 183 4 885478192 +330 370 4 876545058 +284 301 5 885329593 +468 642 3 875291403 +292 214 3 881105701 +268 10 4 875306691 +299 473 3 877878561 +374 844 4 880394000 +59 83 4 888204802 +253 273 3 891628060 +117 743 1 881010401 +215 270 3 891434683 +223 929 3 891549975 +452 506 3 875276081 +91 520 4 891439414 +367 53 4 876690076 +301 42 4 882075743 +406 127 4 879445430 +246 38 2 884923175 +381 607 4 892696130 +268 710 3 875309719 +383 302 4 891192216 +413 326 3 879969027 +347 68 5 881654825 +459 1060 1 879563668 +339 45 5 891033200 +437 65 4 880140787 +339 179 5 891032793 +18 845 3 880131236 +356 326 4 891406193 +174 1074 4 886514529 +286 768 3 889652968 +264 204 5 886123472 +255 829 1 883216903 +234 419 4 892334644 +299 288 3 877618584 +184 657 4 889908497 +239 527 5 889178833 +459 216 3 879566321 +268 47 1 875310645 +373 195 4 877098487 +257 1472 2 880496943 +327 147 2 887820417 +17 150 5 885272654 +26 413 2 891386049 +2 282 4 888551922 +141 756 3 884585363 +271 495 5 885849052 +417 431 4 879647431 +204 242 5 892388935 +265 237 5 875320462 +144 24 4 888104541 +363 444 4 891500406 +22 187 5 878887680 +246 444 4 884923715 +13 550 4 882397741 +380 614 3 885478845 +194 642 2 879527514 +94 154 5 886008791 +42 1 5 881105633 +38 200 5 892432180 +277 237 4 879544145 +297 271 2 881707810 +343 175 5 876405045 +262 974 3 879791447 +330 1084 5 876544432 +224 1058 3 888104219 +430 547 2 877226365 +215 380 3 891436470 +13 538 1 884538448 +38 69 5 892430486 +334 174 4 891546992 +450 495 4 882395052 +299 345 4 884023998 +233 71 5 876812281 +262 1035 3 879794530 +222 450 3 881060824 +57 111 4 883697679 +406 187 2 879445897 +385 111 2 879440267 +373 949 4 877100016 +312 186 3 891699491 +324 872 5 880575045 +65 956 4 879216797 +250 501 5 878090199 +435 465 2 884132515 +308 648 4 887738509 +472 401 4 875982727 +216 122 5 881432488 +417 139 3 879648707 +435 929 2 884133635 +347 271 1 881652191 +373 414 3 877104259 +239 318 1 889178798 +406 1008 4 879539909 +160 844 3 876767822 +339 637 4 891035647 +145 554 3 875272245 +328 273 3 885046134 +348 831 4 886523913 +416 501 5 893213918 +334 1016 3 891545185 +280 158 2 891701764 +374 254 3 880394000 +387 403 3 886483099 +269 707 2 891449304 +405 1580 1 885549543 +258 333 2 885700811 +456 662 4 881374710 +87 132 5 879877930 +113 268 4 875935609 +453 356 2 888205866 +343 11 5 876405172 +151 136 4 879524293 +5 99 3 875721216 +151 1286 5 879524173 +150 151 4 878746824 +89 875 3 879441160 +299 185 3 878192039 +221 568 4 875246398 +219 269 5 889386655 +407 432 4 875552685 +222 636 4 878184055 +189 131 4 893265710 +239 91 4 889180487 +465 202 4 883531487 +43 283 2 883955415 +326 613 5 879874860 +458 387 4 886398246 +378 295 3 886614274 +160 640 3 876860808 +11 70 4 891904573 +472 11 5 892790676 +252 14 4 891456876 +125 364 3 892839191 +425 324 3 878737657 +200 99 5 884128858 +73 650 3 888626152 +450 382 3 882377479 +349 120 3 879466334 +145 150 5 875270655 +13 669 1 882397067 +405 1268 1 885546636 +116 1013 3 876453222 +277 844 4 879543528 +174 722 4 886513896 +363 568 2 891495070 +106 210 4 881450810 +13 475 3 881515113 +407 144 3 876338453 +420 137 4 891357104 +307 210 2 877123746 +70 181 4 884064416 +276 451 3 874792216 +405 999 1 885547557 +346 92 4 886274124 +13 889 3 892015236 +6 21 3 883600152 +459 134 3 879564941 +343 169 5 876405172 +87 791 2 879877280 +130 249 5 876250746 +18 6 5 880130764 +234 745 4 892333573 +181 931 1 878963205 +456 210 3 881374849 +76 769 1 882607018 +379 127 5 880524811 +379 517 4 888044628 +406 69 4 879446748 +346 302 3 877231140 +432 118 4 889416608 +376 197 4 879454598 +151 462 4 879524088 +450 518 4 882374134 +219 382 5 889451412 +280 1066 4 891701928 +406 825 4 879540275 +117 977 3 881009738 +437 501 4 880143315 +461 302 3 885355646 +387 114 5 886484336 +144 524 5 888105081 +249 1039 5 879572725 +405 308 1 885549942 +15 409 3 879456324 +289 151 2 876790499 +64 847 3 879365558 +158 797 3 880134701 +334 271 3 891544340 +298 471 4 884125847 +463 1132 1 889937778 +113 323 4 875325377 +383 237 4 891192836 +94 11 5 885870231 +339 461 5 891033226 +256 89 5 882164525 +399 413 2 882340900 +379 528 5 881996665 +402 511 5 876266775 +223 295 3 891549410 +90 889 3 891382731 +89 13 2 879441672 +42 387 3 881108760 +272 211 5 879454845 +346 394 4 874949116 +176 111 4 886048040 +450 110 4 882469250 +450 1203 3 882373723 +159 595 5 880486009 +174 846 5 886433996 +87 216 5 879876448 +270 183 5 876955938 +85 190 4 879453845 +282 689 2 881703044 +374 291 3 885107905 +342 111 3 875318267 +286 381 5 877532965 +339 447 4 891034923 +314 946 5 877888527 +472 193 5 875981789 +244 471 1 880606874 +224 28 4 888082468 +358 918 1 892731254 +234 23 4 892334368 +269 148 1 891446443 +60 593 5 883326185 +37 27 4 880915942 +393 317 4 889554707 +117 33 4 881011697 +200 188 4 884129160 +232 209 3 888549563 +130 1046 4 880396831 +110 315 4 886987726 +110 173 1 886988909 +399 746 5 882342158 +321 1331 4 879439017 +181 1363 1 878962279 +357 1 5 878951216 +406 183 5 882480567 +322 234 4 887313893 +290 1079 2 880732771 +430 234 4 877226323 +159 24 5 880989865 +428 750 5 885943651 +286 1280 5 884069544 +194 403 2 879527725 +145 242 5 875269755 +457 58 4 882397177 +369 168 3 889428494 +454 144 4 888266643 +417 1028 3 879646785 +94 739 2 891723156 +42 371 4 881108760 +390 515 4 879694259 +11 274 3 891906510 +286 125 4 876521650 +200 679 4 884129920 +398 167 3 875735638 +222 407 2 883816411 +435 597 3 884133284 +326 170 2 879874897 +119 591 4 886177235 +410 313 5 888627137 +221 64 5 875245350 +442 834 2 883389337 +115 596 1 881170663 +435 204 3 884132366 +18 378 3 880131804 +449 212 5 880410624 +193 246 3 890859402 +389 47 4 880086971 +429 208 4 882384772 +311 202 4 884364694 +472 877 3 892789947 +378 401 4 880332347 +130 1039 4 875216420 +99 28 3 885680578 +145 820 2 885557732 +272 746 3 879454797 +62 250 5 879372455 +452 276 1 885490917 +381 631 4 892696654 +373 421 4 877105563 +96 187 5 884402791 +350 204 4 882346161 +425 177 3 878738290 +26 1 3 891350625 +452 201 1 875875685 +399 41 2 882348876 +90 162 5 891385190 +30 242 5 885941156 +422 270 3 878058917 +286 186 5 877534903 +380 31 1 885479730 +64 81 4 889739460 +181 991 1 878961814 +41 474 5 890687066 +365 762 4 891304300 +233 584 4 877663548 +280 118 2 891701027 +92 456 2 888469668 +42 1047 4 881106419 +452 89 5 875263413 +154 474 5 879138783 +42 427 4 881107773 +121 124 5 891388063 +291 1073 5 874834701 +393 842 4 889729212 +144 1138 4 888104684 +102 778 3 892991448 +223 476 3 891550349 +286 47 4 877532419 +348 412 2 886523560 +188 568 4 875072583 +346 22 5 874948059 +98 629 5 880499111 +162 1011 4 877636370 +85 385 3 879455021 +459 358 2 879561783 +92 167 3 875656557 +108 304 3 879879662 +327 132 5 887820828 +309 331 5 877370356 +23 95 4 874786220 +43 742 5 883955650 +450 710 3 882468931 +234 1203 4 892079910 +108 718 4 879879985 +343 66 3 876406421 +305 963 4 886322635 +314 762 4 877886443 +319 340 3 879975481 +345 1053 3 884993903 +437 710 4 880140822 +225 1203 5 879540778 +401 71 2 891033549 +472 258 5 892790953 +312 633 5 891698951 +194 31 3 879549793 +450 660 4 887660762 +64 209 5 889737654 +65 65 3 879216672 +59 963 5 888204757 +447 9 2 878854195 +11 423 5 891904174 +256 38 4 882164927 +85 195 3 882995132 +471 95 4 889827822 +407 1118 4 876340043 +383 427 5 891192748 +214 752 2 891542578 +145 209 4 882181659 +389 475 5 879915780 +463 455 3 877385457 +405 1384 1 885549746 +177 154 4 880130600 +456 274 3 881371977 +174 388 1 886515335 +224 280 4 888104353 +244 410 4 880606593 +223 1291 3 891550431 +234 22 4 892334644 +393 497 4 889555021 +315 382 4 879821089 +450 152 5 882395052 +406 7 4 879445684 +414 678 1 884999066 +334 213 4 891546373 +158 173 5 880134913 +397 288 4 882839517 +457 385 4 882392950 +178 123 4 882824325 +474 8 5 887925497 +472 168 5 892791062 +417 422 3 879648212 +416 549 4 886316922 +137 181 5 881433015 +230 71 5 880484911 +295 720 4 879518801 +216 475 5 880232768 +433 682 2 880585431 +216 188 5 880245075 +280 699 4 891700341 +234 1200 3 892333865 +24 127 5 875323879 +281 288 4 881200264 +45 823 4 881014785 +13 51 3 882399419 +334 500 3 891547334 +471 140 5 889827918 +271 193 5 885848475 +432 871 2 889416456 +303 156 5 879466771 +436 787 5 887770640 +327 1 4 887745622 +307 286 3 881965984 +290 139 2 880475420 +94 274 4 891722511 +236 659 3 890116599 +405 53 2 885548137 +295 386 4 879519308 +149 326 3 883512856 +450 304 4 882216108 +351 751 4 883356614 +411 770 4 892845634 +335 313 3 891566808 +416 10 3 876698364 +324 288 5 880575002 +151 483 5 879524244 +334 347 3 891547445 +269 469 4 891448072 +95 415 3 888956582 +336 790 2 877758187 +95 1231 1 880572787 +131 124 5 883681313 +175 100 2 877107712 +472 449 5 875982967 +336 401 1 877757133 +109 179 4 880577961 +407 382 3 876342706 +309 1025 5 877370356 +466 354 2 890282795 +136 286 5 882693234 +294 122 3 889242661 +378 174 4 880045651 +342 727 3 875320082 +450 520 5 887136083 +410 289 1 888626819 +7 499 4 891351472 +169 213 5 891359354 +138 13 4 879023345 +405 753 1 885549464 +450 604 4 882373231 +398 993 3 875653043 +327 506 3 887744513 +222 623 2 878183985 +405 693 2 885546154 +303 872 3 879466018 +447 206 4 878856209 +66 24 3 883601582 +436 215 4 887770457 +334 429 4 891546299 +293 582 4 888906536 +119 597 4 874775465 +271 130 1 885848218 +105 288 4 889214335 +405 1530 1 885546835 +42 290 3 881106072 +429 636 3 882386027 +345 568 4 884993047 +331 223 4 877196173 +207 660 4 877847100 +255 200 3 883216544 +87 321 2 879876813 +174 742 4 886434087 +194 154 3 879546305 +13 329 2 886952246 +145 407 2 888398400 +201 53 3 884114713 +337 222 5 875185319 +334 239 3 891546914 +465 114 4 883530190 +1 22 4 875072404 +363 290 3 891496753 +435 1039 4 884132755 +223 1009 1 891549475 +119 50 5 874774718 +367 406 4 876689878 +10 216 4 877889333 +308 597 3 887738933 +189 423 5 893265796 +276 153 4 874791667 +303 321 3 879466065 +152 1054 1 880149643 +455 738 3 879112238 +308 712 4 887740833 +456 187 4 881372911 +98 523 5 880498967 +416 106 3 876697913 +5 21 3 875635327 +1 21 1 878542772 +407 510 4 875046752 +453 1157 2 888206576 +314 278 5 877886888 +403 546 3 879786221 +227 322 3 881518461 +110 1231 2 886988664 +44 946 3 878347847 +391 678 2 877398704 +291 685 5 874834254 +125 748 3 892835778 +394 383 2 881059704 +297 17 3 875240201 +150 324 4 878746225 +63 929 3 875747955 +13 804 2 882141997 +450 642 4 882397939 +474 602 3 887926436 +215 229 3 891436469 +75 301 4 884051510 +370 294 1 879434229 +167 1308 1 892738307 +178 2 4 882827375 +177 421 3 880130881 +288 22 5 886374286 +145 1288 4 888398197 +269 1148 4 891447062 +459 357 4 879564308 +274 71 4 878946612 +177 343 3 882141885 +374 135 4 882159077 +456 1248 3 881374767 +269 1479 2 891451111 +159 832 3 880557864 +460 744 3 882912261 +83 2 4 881971771 +373 527 4 877103846 +442 184 2 883390083 +194 456 1 879544303 +13 4 5 882141306 +87 230 5 879875818 +436 98 4 887769280 +412 526 4 879717572 +7 617 5 891354588 +138 435 5 879024232 +145 1047 3 875270764 +405 462 2 885549506 +327 88 2 887819194 +407 56 5 875042569 +42 15 4 881105633 +85 654 4 879454272 +417 449 3 880952674 +21 551 3 874951898 +7 219 1 892131924 +168 125 4 884287731 +90 303 4 891382193 +110 96 4 886988449 +276 380 3 874791383 +406 515 2 879445378 +429 1285 3 882386485 +437 663 5 880141084 +264 192 4 886122099 +144 20 4 888104559 +295 238 4 879517136 +145 673 4 875272299 +334 131 4 891547744 +386 1016 4 877654961 +346 572 5 875266600 +389 568 3 880087782 +280 1133 3 891700242 +455 724 3 879111500 +222 540 3 878184087 +24 249 4 875246216 +279 594 1 891209021 +444 916 3 891979403 +215 523 4 891435060 +193 187 4 890860351 +318 1120 3 884495206 +200 1 5 876042340 +447 760 4 878854838 +244 451 4 880608112 +144 470 2 888105993 +59 51 5 888206095 +295 420 4 879518233 +23 408 5 874784538 +374 71 5 880396292 +317 313 4 891446208 +367 561 4 876690048 +198 187 4 884207239 +188 1263 3 875071891 +267 33 5 878972650 +201 448 3 884112581 +198 979 5 884206748 +151 98 4 879524088 +342 663 4 875320297 +407 416 3 876348957 +99 64 5 885680578 +405 1119 3 885545306 +407 371 2 875116964 +128 622 4 879968332 +178 197 2 882826720 +405 77 1 885546248 +472 826 3 883904224 +299 264 2 877877290 +457 156 5 882397095 +108 222 2 879879720 +394 561 4 881060177 +95 520 4 879197970 +291 825 4 874833983 +303 953 3 879485016 +450 494 3 882373385 +222 89 5 878181739 +363 428 5 891495742 +397 95 4 885349999 +21 123 4 874951382 +184 736 3 889911633 +324 255 4 880575449 +75 225 2 884050940 +389 604 4 879991387 +130 132 5 875802006 +276 197 5 874787549 +64 313 4 889736971 +27 50 3 891542897 +456 979 3 881371694 +340 588 5 884991369 +135 173 4 879857723 +125 211 3 879455184 +403 925 4 879790468 +290 15 4 880474494 +166 751 4 886397665 +417 692 4 879648132 +423 333 3 891394747 +21 767 1 874951314 +59 919 4 888203018 +352 273 2 884290328 +363 137 5 891495742 +288 180 5 886373474 +405 946 2 885548836 +406 633 5 882461684 +235 194 5 889655232 +340 486 4 884991083 +145 558 2 877343121 +109 231 3 880582976 +181 1339 1 878962086 +417 1014 4 879646785 +11 433 4 891905003 +426 428 2 879444081 +117 748 3 880124378 +312 89 5 891698832 +416 258 5 893213549 +410 538 3 888626710 +305 96 3 886324172 +95 127 4 879195062 +383 639 4 891193181 +452 121 5 885816916 +295 965 4 879517271 +383 135 5 891193042 +236 504 3 890118075 +373 155 4 877107235 +85 150 3 890255432 +406 692 3 880131792 +225 566 4 879540678 +465 216 3 883531284 +305 628 4 886324661 +265 1197 2 875320542 +160 169 4 876862077 +308 235 3 887739800 +106 274 3 883876146 +469 513 5 879523891 +246 210 3 884921319 +305 12 5 886322930 +342 123 5 874984832 +233 506 5 877663337 +300 456 4 875650267 +26 300 4 891347537 +200 515 5 884129381 +311 185 2 884366617 +11 749 5 891901797 +5 427 3 875721167 +329 197 4 891656429 +105 270 5 889214245 +329 705 3 891656347 +1 179 3 875072370 +298 183 3 884182600 +460 275 3 882912261 +403 148 5 879786351 +425 678 1 878737593 +21 453 2 874951797 +360 1197 3 880355177 +464 289 4 878354626 +56 151 4 892910207 +460 20 4 882912469 +378 49 3 880332480 +324 123 4 880575714 +110 69 4 886987860 +320 92 5 884749306 +334 430 4 891546206 +366 559 5 888858078 +331 1141 3 877196504 +239 484 5 889179095 +59 435 5 888204553 +197 232 4 891410082 +330 252 4 876544734 +405 175 1 885546069 +334 582 5 891547235 +442 230 3 883390466 +312 863 5 891698695 +230 621 2 880485380 +435 587 3 884132403 +90 632 5 891384113 +59 612 3 888206161 +416 928 3 878879391 +450 211 5 882373865 +313 624 4 891030261 +10 211 5 877889130 +342 248 3 874984455 +223 95 5 891550649 +249 1012 3 879571998 +383 272 3 891192158 +469 855 4 879524302 +90 474 5 891383599 +466 181 4 890284857 +128 193 3 879967249 +288 223 3 886374497 +198 173 4 884207492 +347 403 5 881654386 +280 546 4 891702252 +385 616 4 884119121 +125 728 3 892838425 +203 475 3 880434318 +49 91 5 888066979 +347 820 2 881653340 +319 307 4 879975504 +10 531 5 877886911 +422 448 4 879744085 +311 306 4 884363791 +406 30 4 879793235 +380 161 2 885480046 +244 32 2 880605514 +379 9 4 880524886 +406 735 3 884630554 +416 288 5 893213796 +327 959 5 887819161 +201 188 4 884112201 +472 1011 4 875979187 +255 831 4 883216902 +275 294 4 876197443 +437 479 5 880141335 +213 502 5 878956263 +271 239 3 885849419 +326 136 4 879874933 +339 675 4 891034810 +63 258 3 875746809 +222 772 2 878181906 +92 122 3 875907535 +243 7 3 879987362 +145 452 3 882182762 +345 117 4 884991220 +303 222 3 879468414 +474 410 2 887915645 +275 50 4 876198296 +21 263 1 874951040 +37 127 4 880930071 +299 19 1 877877434 +450 847 4 882376188 +38 681 5 892429065 +425 690 1 890346866 +104 1012 4 888465708 +303 678 1 879544946 +354 7 4 891216607 +99 342 1 885678348 +454 705 3 881959818 +126 272 3 887853469 +379 187 5 880525031 +311 216 5 884364502 +385 603 5 880869422 +405 669 1 885548435 +295 729 4 879518018 +59 404 3 888205463 +269 517 4 891449189 +224 556 1 888103942 +457 285 5 882393648 +476 715 4 883364745 +425 53 4 878738596 +222 769 2 881060608 +91 568 2 891439018 +327 508 2 887744064 +62 188 3 879373638 +398 4 2 875723337 +141 282 5 884585642 +389 64 4 880087151 +419 488 5 879435722 +343 427 5 876405820 +125 56 1 879454345 +181 235 1 878963168 +380 134 3 885478583 +312 276 4 891699010 +343 174 5 876404464 +385 1524 5 879445662 +457 758 2 882551135 +13 96 4 882140104 +399 684 3 882344269 +389 712 3 881384338 +344 7 4 884814668 +407 313 4 893076947 +395 338 4 883762733 +429 747 3 882386071 +418 344 1 891282521 +373 660 4 877105075 +378 1523 2 880334067 +307 83 5 877120874 +234 285 4 891227771 +389 50 5 879915780 +458 530 4 886396005 +435 171 5 884131967 +60 618 3 883327113 +87 789 3 879876610 +328 620 3 885048861 +402 222 4 876266948 +391 510 5 877399066 +267 944 3 878973179 +408 300 3 889679857 +472 233 4 875981759 +403 181 4 879785916 +271 756 2 885848218 +7 216 4 891350900 +246 25 3 884922383 +139 740 2 879538254 +389 558 4 879991242 +190 354 4 891033606 +257 269 3 879029516 +409 429 5 881107817 +402 32 3 876267235 +201 435 4 884112201 +452 186 1 875875499 +407 173 5 875043948 +412 117 4 879717177 +92 153 4 875653605 +339 403 3 891034510 +416 652 4 876699526 +326 208 3 879875534 +202 258 4 879726342 +13 838 1 882397742 +474 480 5 887925186 +246 420 3 884922272 +122 673 3 879270511 +276 591 3 874786632 +221 385 4 875245948 +75 235 4 884050502 +69 123 4 882126125 +218 173 3 877488316 +186 79 5 879023460 +445 121 1 891200233 +299 692 4 877880915 +180 778 2 877128388 +42 469 4 881109324 +13 559 1 882396913 +233 483 5 876021170 +79 306 5 891271792 +445 246 1 891199682 +94 381 4 886008764 +380 414 2 885480046 +450 559 3 882376446 +417 550 3 879649178 +138 187 5 879024043 +141 335 1 886447735 +184 221 5 889907838 +88 308 4 891037396 +474 68 3 887926804 +405 142 1 885549004 +405 559 5 885548330 +69 235 3 882126048 +385 81 3 879442028 +233 828 4 875508169 +131 276 5 883681723 +294 1088 1 889243393 +116 346 4 886310197 +476 792 4 883365019 +478 143 5 889396797 +429 282 3 882386983 +268 195 4 875309719 +373 778 5 877105529 +328 748 3 885045245 +411 186 5 892845605 +407 69 4 875042569 +303 720 2 879468375 +358 382 2 891269913 +286 411 2 876522133 +378 778 3 880056073 +216 221 4 881432501 +474 736 3 887927509 +328 326 4 885044607 +402 96 5 876267234 +265 323 3 875320112 +279 1485 4 878262195 +201 76 4 884140709 +399 546 2 882341383 +22 53 3 878888107 +327 874 3 887737629 +473 273 5 878157329 +159 588 2 884027316 +176 246 5 886047994 +176 343 2 886047595 +291 9 5 874805804 +18 654 4 880130110 +244 92 4 880602478 +421 657 4 892241422 +178 202 5 882826782 +339 91 5 891034282 +268 241 3 875310603 +454 286 3 881958782 +118 180 5 875385136 +278 882 3 891295007 +42 679 2 881108548 +313 684 4 891017088 +40 269 1 889041283 +202 423 3 879727116 +458 178 4 886398187 +474 1014 3 887916567 +450 1446 4 882812558 +119 813 4 874774956 +463 250 4 889935953 +279 229 4 889326161 +423 1011 3 891395547 +466 188 3 890284766 +474 528 5 887923924 +259 185 4 874724781 +49 1080 4 888066734 +200 495 3 884129092 +26 316 3 891349122 +321 61 5 879441128 +463 950 3 877385590 +157 255 3 886889876 +5 451 1 875636571 +249 283 5 879572600 +262 7 4 879790603 +453 73 4 888206132 +49 561 2 888067460 +291 420 4 875086991 +322 513 4 887314185 +442 873 2 883388120 +10 357 5 877889186 +303 198 4 879467413 +56 781 4 892677147 +293 290 2 888905198 +291 412 3 875086669 +151 939 4 879524514 +463 225 3 877385489 +303 324 3 879466065 +450 204 4 882377590 +216 25 3 881428365 +405 654 2 885548579 +24 300 4 875245985 +22 515 5 878887869 +363 431 2 891495301 +23 629 4 874786098 +466 265 3 890285159 +104 1115 4 888465263 +313 8 3 891014551 +447 180 5 878855989 +115 7 5 881171982 +62 866 2 879373195 +394 288 4 880886919 +130 658 5 875802173 +91 495 4 891439171 +368 89 4 889783678 +145 313 4 883840638 +376 663 3 879434750 +184 210 4 889911069 +6 200 3 883602422 +101 111 2 877136686 +91 614 4 891439018 +464 678 3 878354722 +347 118 4 881652710 +305 904 4 886307860 +455 56 5 879110844 +7 556 3 891352659 +378 559 4 880056735 +279 367 3 875309861 +244 86 4 880605896 +391 89 3 877399380 +342 209 5 875319554 +391 200 5 877399269 +266 268 4 892256828 +458 319 4 889323714 +276 86 3 874791101 +472 931 2 883904681 +320 164 4 884751246 +311 323 3 884364139 +10 162 4 877892210 +324 879 4 880575234 +286 597 3 876522360 +276 396 4 874792118 +396 595 3 884646467 +267 128 5 878972170 +318 405 2 884494797 +454 51 2 888267158 +461 259 2 885355679 +43 385 5 883955387 +399 140 4 882343731 +70 496 4 884064545 +450 904 5 889568507 +26 129 4 891350566 +25 141 4 885852720 +316 199 3 880853598 +321 87 3 879439763 +416 1521 3 892440206 +406 25 1 879540106 +474 176 5 887923972 +428 313 5 885943749 +450 1092 3 882469627 +10 161 4 877892050 +308 209 4 887737686 +389 484 5 880087073 +198 959 3 884209264 +436 1061 3 887771997 +457 825 5 882553112 +435 381 4 884133585 +13 237 5 882140285 +226 405 4 883889507 +424 294 5 880858979 +456 708 4 881373756 +327 405 2 887745589 +186 306 4 891717690 +326 174 4 879874825 +334 877 3 891544264 +454 315 4 888015651 +455 20 3 879109594 +158 659 5 880134947 +239 443 5 889181015 +386 281 3 877655145 +435 382 3 884131949 +377 358 3 891297023 +308 408 5 887738268 +361 781 2 879441179 +267 189 4 878971874 +417 176 5 879646891 +133 308 4 890588639 +268 654 5 875309718 +373 286 3 877098042 +60 366 4 883327368 +397 896 4 889760725 +389 410 3 879916238 +175 64 5 877107552 +269 393 1 891451036 +446 269 4 879787730 +472 689 4 883903273 +454 310 4 881958464 +11 659 5 891904920 +116 879 2 876452094 +474 518 4 887926633 +149 338 2 883512904 +189 44 4 893266376 +342 1014 1 874984531 +13 770 4 882397581 +44 143 4 878347392 +293 491 4 888905923 +332 182 5 888098088 +303 223 4 879466742 +323 475 3 878739393 +291 448 5 874867741 +118 288 5 875385386 +429 415 3 882386785 +407 1188 2 876345492 +438 269 4 879867960 +37 92 4 880930072 +374 1014 1 880394138 +45 225 4 881014070 +405 793 1 885547313 +291 761 3 874834914 +195 558 3 890589408 +178 300 5 882823301 +227 124 4 879035158 +92 117 4 875640214 +454 174 4 888266643 +315 178 4 879799486 +416 723 4 886318827 +177 161 3 880130915 +212 527 5 879303892 +411 88 3 891035761 +398 163 3 875738333 +418 331 3 891282521 +114 89 5 881260024 +175 661 4 877107432 +5 430 5 875636631 +363 631 1 891497440 +397 338 4 882839517 +450 281 4 882399664 +81 100 3 876533545 +364 988 2 875931561 +457 546 2 882393860 +119 294 1 892564313 +361 66 4 879441075 +56 483 4 892682889 +44 1 4 878341315 +99 92 4 885680837 +269 488 4 891448926 +405 1479 1 885547735 +425 222 5 878738486 +445 50 2 891199715 +406 42 5 879445936 +333 294 3 891045496 +359 408 5 886453239 +345 148 3 884991303 +416 560 3 886319079 +468 39 3 875296309 +59 56 5 888204465 +345 1096 3 884994682 +435 184 5 884131771 +346 110 2 875266064 +11 707 5 891906389 +102 201 2 888803051 +407 2 4 875553509 +58 496 2 891611593 +42 729 3 881108345 +270 584 5 876955067 +246 41 2 884923811 +16 948 3 877717397 +449 293 4 879958803 +351 288 3 879481550 +450 526 4 882396245 +201 379 3 884114813 +174 238 5 890168700 +398 435 5 875717106 +262 385 2 879795030 +447 91 4 878856549 +393 540 3 889731753 +371 234 5 877487691 +90 721 3 891385215 +436 537 4 887769471 +388 678 4 886442062 +363 1512 1 891494754 +308 186 4 887738152 +307 380 3 879538922 +280 1297 4 891702230 +196 70 3 881251842 +90 193 4 891383752 +18 65 5 880130333 +435 313 5 884268770 +83 580 4 883869630 +222 229 3 878184315 +454 164 3 881960265 +451 243 4 879012510 +256 225 4 882152605 +363 443 4 891500334 +87 38 5 879875940 +99 751 4 885678397 +254 1470 2 886474650 +295 181 4 879517860 +393 571 3 889731793 +463 24 3 877385731 +354 958 4 891218271 +314 595 3 877886375 +194 376 2 879528752 +478 122 2 889397778 +73 269 4 888792172 +1 187 4 874965678 +455 334 3 892230883 +60 1121 3 883326215 +395 237 4 883764974 +427 263 5 879701253 +2 111 4 888551853 +416 480 5 893213918 +72 318 5 880037702 +189 499 4 893265596 +222 63 3 878183713 +276 825 3 874787006 +32 222 3 883717600 +82 111 4 876311423 +347 70 2 881654428 +112 301 3 884992566 +130 450 2 878537602 +452 69 5 875275699 +308 48 4 887736880 +201 288 4 884110887 +273 316 4 891293201 +463 347 1 889936589 +101 181 4 877137015 +387 463 4 886483526 +435 616 2 884133284 +271 196 4 885848886 +455 531 3 879111291 +394 72 4 880889629 +65 393 4 879217881 +456 22 4 881373573 +271 87 3 885848802 +392 99 5 891038433 +102 338 2 887051723 +378 91 3 880331510 +269 537 5 891455816 +474 735 4 887924619 +463 242 2 889935629 +421 89 5 892241362 +418 302 2 891282551 +159 260 2 893255969 +259 147 4 888630664 +301 824 3 882075055 +270 50 5 876954004 +378 176 4 880046362 +43 290 4 884029192 +351 326 5 879481589 +374 100 5 880392873 +374 24 3 880393553 +346 273 4 874948783 +235 191 4 889654971 +18 79 4 880131450 +260 748 4 890618198 +249 175 4 879572106 +279 532 1 875298597 +95 98 4 879197385 +466 128 2 890284819 +354 419 4 891217755 +279 274 3 875296792 +256 1 5 882150980 +357 1047 4 878951691 +147 313 4 885593965 +354 638 4 891217547 +424 14 4 880859552 +198 693 3 884207734 +391 12 5 877399745 +208 97 4 883108797 +447 288 4 878855082 +470 475 4 879178568 +437 162 4 880141129 +246 393 3 884922627 +15 308 5 879455334 +393 1407 3 889731010 +160 182 5 876770311 +128 172 3 879967248 +253 328 4 891627790 +162 508 5 877635662 +370 322 3 879434308 +13 563 1 882397039 +457 45 5 882397133 +397 174 5 885349999 +222 475 4 877563252 +232 76 3 888550060 +421 466 4 892241459 +387 473 4 886481033 +476 1037 1 883365384 +250 331 3 878089033 +305 582 4 886323506 +463 593 1 877386923 +72 147 5 880037702 +85 529 3 879827935 +435 82 5 884132100 +412 487 3 879717118 +152 234 4 882474970 +59 205 3 888204260 +354 513 5 891217782 +311 23 3 884364570 +301 73 4 882075962 +123 9 5 879873726 +454 875 1 888266433 +296 191 5 884197193 +272 514 5 879455254 +395 313 3 883762135 +13 478 4 884538571 +437 683 2 881001121 +179 321 1 892151331 +254 94 3 887347350 +215 15 3 891435761 +435 52 5 884132403 +70 150 3 884065247 +460 297 3 882912342 +474 661 4 887925620 +354 707 4 891217633 +276 951 3 874792969 +99 829 4 885679382 +178 219 4 882828350 +480 190 5 891208265 +165 500 3 879525832 +434 369 4 886724972 +267 108 4 878971224 +360 23 5 880356240 +405 189 1 885549192 +119 710 4 886177162 +13 872 3 882139327 +38 742 5 892430001 +21 17 4 874951695 +151 52 5 879524586 +441 25 3 891036306 +453 566 3 877561593 +377 268 3 891295937 +327 559 2 887746328 +181 681 1 878961474 +393 845 4 887744202 +56 403 4 892678942 +6 494 4 883601713 +474 52 4 887925751 +178 176 4 882826782 +445 886 3 891035539 +11 228 3 891905824 +183 229 3 891463591 +347 831 1 881653340 +171 262 4 891034641 +284 306 4 885329146 +84 98 4 883453755 +255 100 3 883216358 +7 97 5 891351201 +65 365 3 879216672 +417 484 4 879647380 +70 403 4 884064862 +472 977 3 875979317 +250 271 4 883263374 +219 616 5 889403435 +450 139 5 882812558 +417 1119 3 879648382 +158 798 4 880134815 +92 704 3 875812121 +399 597 3 882341330 +249 53 4 879572760 +263 300 3 891297330 +116 1226 2 876454090 +384 989 4 891273905 +99 275 1 888469419 +267 65 4 878972071 +95 892 3 882803890 +370 514 4 879434969 +232 150 3 891565095 +152 783 4 884018961 +305 200 3 886324661 +15 303 3 879455080 +373 715 2 877105075 +42 1042 3 881109325 +342 133 4 874984207 +23 175 5 874785526 +226 25 4 883890235 +385 136 3 879442402 +75 1028 4 884050590 +379 100 5 880524541 +216 1218 3 881428365 +429 153 4 882385090 +44 591 4 878341315 +148 69 5 877019101 +64 32 1 889739346 +31 340 3 881547788 +343 137 4 876402941 +158 570 3 880134445 +458 496 3 886398289 +94 629 4 891721286 +479 680 3 887064404 +327 55 4 887820293 +221 470 3 875245374 +403 7 5 879785867 +151 69 4 879524368 +426 606 5 879442044 +230 418 5 880484937 +303 90 4 879485111 +181 813 2 878962279 +269 821 1 891450427 +450 200 3 882376188 +276 1079 2 874787300 +95 447 2 880572166 +49 1028 2 888069304 +145 635 4 875272349 +332 1315 2 887916623 +151 476 3 879543423 +7 135 5 891351547 +452 502 2 885817844 +417 765 3 879649632 +270 26 5 876954995 +327 10 4 887744432 +264 367 4 886123656 +437 191 4 880140726 +95 140 3 879199014 +419 306 5 879435242 +232 289 4 880062259 +313 474 5 891016193 +200 841 3 876042556 +354 516 5 891217851 +373 1078 3 877105451 +92 826 2 886443534 +157 1051 4 886890835 +357 744 5 878951653 +429 32 4 882386309 +352 89 5 884289693 +100 879 4 891374946 +474 1028 1 887916438 +425 288 5 878737512 +445 150 2 890987617 +97 189 4 884238887 +49 928 2 888068651 +429 569 2 882387506 +293 578 2 888907913 +406 589 5 879445474 +429 1014 3 882386333 +405 574 1 885546724 +416 929 4 876698255 +102 993 2 883748352 +118 1079 4 875385442 +454 1454 2 888266907 +422 50 4 875129911 +110 55 3 886988449 +276 1083 3 877934891 +380 736 4 885478780 +458 174 3 886397109 +463 21 1 890453075 +130 555 4 888211930 +432 405 4 889416490 +254 498 4 886472115 +409 276 4 881108455 +43 1054 3 884029658 +457 79 5 882396869 +437 98 5 880141962 +394 39 4 880888501 +436 715 4 887770668 +22 85 5 878886989 +329 892 2 891655614 +453 231 2 877562293 +450 367 3 882376282 +326 183 5 879875851 +193 366 4 890860428 +472 940 4 875982560 +398 182 4 875657802 +64 143 4 889739051 +381 656 4 892696471 +59 201 4 888204260 +365 315 4 891303384 +385 185 5 880870205 +457 679 4 882547723 +145 1287 2 888398563 +381 79 3 892695996 +201 234 5 884112537 +168 121 4 884287731 +392 199 5 891038466 +416 217 4 886317880 +417 169 3 879647498 +328 1112 4 885049459 +380 416 2 885480239 +391 64 5 877399746 +42 443 3 881108093 +2 258 3 888549961 +417 358 2 879649763 +342 15 3 875318154 +102 671 3 888803002 +343 559 3 876406822 +292 153 4 881105587 +440 1073 4 891577814 +200 280 4 884127798 +412 288 4 879716566 +389 401 3 880088578 +334 969 4 891628832 +299 813 4 878192192 +344 764 1 886381986 +215 134 4 891435266 +366 98 5 888857750 +124 209 3 890399902 +56 423 5 892737191 +454 945 3 881960083 +178 1315 4 882824291 +429 806 2 882384950 +115 121 3 881170065 +264 774 2 886122446 +344 815 2 884900409 +87 167 4 879876703 +275 210 4 880314320 +54 272 5 890608175 +280 31 4 891701344 +478 318 5 889389232 +392 200 3 891038433 +464 269 5 878354626 +173 331 4 877557028 +450 553 2 882373928 +380 1404 2 885478646 +457 949 3 882549287 +351 327 5 883356684 +465 50 4 883530778 +222 24 3 877563622 +193 73 3 889127237 +430 744 3 877225965 +279 809 3 891208945 +292 7 3 881104068 +429 794 3 882385593 +452 609 4 875562374 +401 280 2 891032607 +283 435 5 879298206 +1 135 4 875072404 +479 228 4 879461060 +457 53 4 882548645 +201 962 4 884113082 +249 273 4 879640284 +205 300 3 888284245 +385 1286 3 879446952 +381 673 3 892696209 +286 394 5 877534771 +180 658 5 877355598 +299 728 2 889503159 +256 620 3 882151743 +307 230 5 879538921 +429 568 3 882385859 +84 15 4 883449993 +452 467 3 885491030 +425 491 2 890347047 +118 675 5 875385386 +204 300 3 892388900 +456 568 2 881374246 +321 529 4 879440342 +43 496 5 883955605 +301 237 4 882074291 +344 972 4 884901503 +395 210 5 883763136 +403 123 3 879786112 +320 566 3 884749384 +141 1244 3 884585364 +363 699 2 891495850 +378 280 2 880044489 +405 400 1 885549044 +380 58 2 885479355 +234 630 2 892334141 +416 496 5 893212572 +416 1089 2 876697695 +406 787 3 880132047 +484 235 2 881450160 +295 1473 4 879519473 +290 230 4 880473557 +330 357 4 876546439 +343 117 2 876403121 +144 847 4 888104063 +254 102 3 886473929 +127 750 1 884363851 +454 507 3 881960265 +239 162 5 889179131 +246 138 1 884923715 +326 705 3 879875399 +94 510 5 885873089 +484 550 4 891195390 +440 1504 4 891578226 +409 489 5 881107817 +201 950 3 884140610 +240 272 5 885775536 +416 930 3 878878814 +268 227 4 875310824 +21 563 2 874951898 +274 846 2 878946204 +60 97 3 883326215 +59 9 4 888203053 +246 652 5 884921033 +268 480 5 875309430 +301 94 4 882079172 +172 612 3 875537964 +486 846 2 879875154 +13 216 3 881515193 +405 302 4 885544635 +456 963 4 881374047 +187 735 4 879465532 +378 195 3 880046516 +405 778 1 885546248 +189 196 5 893266204 +268 407 1 876514002 +468 1008 4 875283843 +318 205 3 884496334 +48 483 5 879434607 +299 346 3 886101436 +401 144 5 891033523 +442 546 3 883390574 +140 294 3 879013651 +290 683 2 880473415 +236 1401 3 890116335 +87 100 5 879876488 +357 280 5 878951831 +422 181 4 875129839 +193 412 3 889127787 +416 1007 5 893213918 +198 403 4 884209353 +484 70 5 891195036 +389 630 3 880087389 +468 209 5 875296309 +94 419 3 891721615 +407 399 3 876342618 +41 196 3 890687593 +292 24 4 881104481 +125 210 5 879454243 +387 4 3 886482969 +461 682 1 885355705 +230 501 3 880485352 +250 844 4 878090414 +398 1126 4 875722533 +83 66 4 880307898 +451 262 1 879012647 +387 357 5 886479690 +138 518 4 879024327 +60 661 4 883326808 +445 1187 3 891200137 +236 523 2 890116221 +450 523 5 882371904 +391 205 5 877399337 +332 1011 3 887938631 +274 762 5 878945610 +332 298 4 887916575 +290 434 4 880474422 +455 343 4 882141285 +276 1006 3 874787353 +389 497 4 879991461 +279 824 4 875297456 +385 659 4 879441942 +174 1 3 886433898 +334 1313 4 891544407 +280 215 3 891701723 +406 1021 5 879446718 +15 251 2 879455541 +457 237 4 882393712 +323 121 3 878739618 +276 653 5 874795729 +465 198 2 883532119 +297 508 4 874955210 +341 358 1 890758050 +293 416 4 888907575 +320 763 4 884748683 +52 864 3 882922661 +200 546 3 884127745 +171 340 3 891034756 +262 99 3 879792262 +177 806 4 880131216 +387 603 4 886480548 +151 448 2 879528779 +15 936 5 879455889 +13 800 1 882397067 +246 211 4 884922605 +326 608 4 879875930 +417 928 3 879646821 +313 185 5 891013773 +308 208 4 887736798 +177 654 4 880131106 +254 1263 1 886474426 +405 625 3 885548836 +368 56 4 889783407 +78 301 5 879633467 +411 709 5 892845604 +447 133 4 878856052 +407 1230 2 876342822 +484 195 5 891195349 +360 744 4 880355066 +24 55 5 875323308 +327 746 3 887818992 +200 826 4 876042556 +6 165 5 883600747 +474 180 5 887924028 +60 181 4 883326754 +11 259 3 891902270 +330 699 5 876547032 +244 581 4 880607903 +467 50 4 879532385 +267 364 2 878974460 +49 145 1 888067460 +194 628 3 879540171 +184 117 2 889907995 +444 1483 2 891978807 +346 431 5 874950616 +374 151 3 880393811 +102 56 3 888801360 +269 357 5 891447773 +123 504 5 879872948 +425 241 2 878738548 +448 269 5 891887338 +406 93 4 879445562 +89 7 5 879441422 +405 671 2 885548330 +417 421 4 879647561 +7 192 4 891352010 +295 229 4 879519010 +359 7 5 886453325 +413 181 5 879969591 +46 125 4 883616284 +406 430 4 879445430 +183 216 4 891479033 +465 109 3 883532119 +425 204 4 890347138 +125 294 4 892835778 +299 167 3 889503159 +128 191 4 879967080 +373 162 3 877098568 +183 212 4 891467870 +408 319 5 889679947 +11 414 3 891905393 +92 234 4 875654297 +474 134 4 887923972 +274 1063 4 878946502 +234 182 3 892078567 +346 616 1 874948890 +23 597 3 874785024 +453 7 5 877562135 +262 423 4 879793854 +455 214 3 879112122 +253 156 3 891628614 +54 340 4 890608225 +102 650 3 888801063 +345 170 5 884902317 +159 1278 3 880557782 +334 230 4 891548808 +110 402 4 886988293 +453 456 3 877552540 +417 392 3 880950280 +141 235 1 884585437 +362 323 2 885019651 +387 233 3 886483151 +210 154 4 887730341 +102 182 3 889362833 +399 407 3 882341644 +465 474 3 883531246 +60 121 4 883327664 +326 38 3 879877005 +405 31 1 885548579 +356 315 4 891405619 +367 218 4 876689962 +435 1109 3 884132643 +287 200 4 875335237 +442 79 3 883390366 +77 201 4 884752785 +164 258 5 889401221 +452 805 4 875562441 +184 402 3 889910013 +256 234 5 882164696 +193 274 3 889126272 +268 402 1 875745231 +417 101 3 879649001 +479 931 2 879460681 +16 467 5 877720733 +416 385 5 893213103 +95 183 5 879197329 +54 7 4 880935294 +429 193 4 882385267 +264 222 5 886122577 +480 175 3 891208356 +7 447 5 891350900 +450 685 4 882374134 +253 732 4 891628651 +267 176 5 878971874 +458 48 4 886396192 +399 187 3 882346401 +370 435 3 879434999 +58 176 4 884304936 +258 258 2 885700811 +253 523 4 891628501 +374 202 3 880394716 +276 1245 3 874787091 +279 712 5 875312339 +416 176 4 876699652 +268 100 3 875742316 +188 483 5 875072009 +249 742 3 879640241 +294 472 3 889242370 +200 451 4 884129006 +339 233 1 891036503 +411 304 3 891034982 +69 763 3 882126156 +156 357 4 888185677 +186 106 2 879023242 +18 60 4 880132055 +451 322 4 879012510 +405 664 1 885546724 +279 990 1 875249134 +296 521 4 884197091 +417 748 4 879646785 +339 257 4 891033710 +249 583 4 879640918 +326 177 3 879876881 +85 319 4 879452334 +5 135 4 875637536 +330 238 5 876546323 +336 33 3 877756242 +254 400 3 886475790 +405 653 1 885548579 +480 183 4 891208651 +206 361 1 888180082 +405 452 5 885548434 +30 258 5 885941156 +442 44 2 883391146 +410 898 3 888627138 +94 1091 3 891722306 +378 423 4 880056287 +184 166 3 889910684 +295 217 4 879517705 +253 182 3 891628374 +385 479 5 879441538 +474 317 4 887925187 +254 133 5 886473158 +467 150 4 879532385 +312 488 5 891698334 +185 690 4 883526267 +82 514 4 878769442 +22 996 1 878887158 +130 746 5 876252012 +409 321 2 881104837 +372 23 5 876869701 +77 511 2 884753152 +62 230 2 879375738 +354 1017 3 891216896 +308 123 3 887738619 +437 213 4 881000931 +237 705 3 879376487 +342 28 2 875319383 +409 97 5 881109216 +157 50 4 886890541 +352 100 4 884290428 +99 619 4 885679091 +446 748 2 879787149 +92 29 3 875656624 +200 1419 5 884130679 +197 399 2 891410082 +95 175 5 879197603 +196 66 3 881251911 +387 273 4 886481151 +117 122 2 886022187 +143 272 4 888407586 +372 185 5 876869445 +94 386 4 891722382 +276 50 5 880913800 +312 428 3 891698424 +259 1135 5 877926006 +151 466 5 879528496 +184 631 4 889910612 +484 300 4 887519214 +387 215 2 886483906 +125 79 5 879454100 +316 170 4 880853810 +23 202 3 874785165 +469 499 5 879524485 +214 708 4 891544152 +145 559 2 877343156 +20 498 3 879669001 +296 257 5 884196921 +178 274 4 882824253 +354 173 3 891217394 +405 1240 1 885549192 +487 1044 3 884051761 +363 653 3 891495682 +459 978 2 879563435 +357 270 5 878951101 +280 232 3 891701649 +130 472 4 876251072 +254 313 5 886470465 +429 24 3 882386309 +348 225 3 886523645 +60 144 4 883325944 +412 724 4 879717095 +286 285 1 879781450 +194 197 4 879522021 +259 475 5 877925049 +361 525 4 879441253 +279 660 4 875313473 +428 301 4 885943782 +458 925 3 886395166 +354 387 4 891307180 +405 622 1 885548877 +450 478 5 887835272 +304 313 5 884968415 +417 655 4 879647900 +458 517 4 886398289 +385 1128 3 879441662 +234 48 2 892334107 +263 100 5 891298453 +387 223 5 886479771 +95 451 3 880572249 +463 410 1 890530286 +92 356 3 875813171 +417 638 4 879648078 +145 800 2 875272349 +198 1142 5 884205114 +447 174 5 878856052 +213 685 3 878870987 +422 15 3 875129882 +298 864 3 884183912 +487 56 4 883528441 +391 31 2 877399659 +269 51 2 891451111 +403 866 4 879786294 +194 135 3 879521474 +385 151 2 879440127 +303 12 4 879466937 +262 660 4 879794419 +222 80 2 881060155 +143 333 5 888407708 +286 251 5 876521678 +280 388 2 891702486 +407 684 3 875045268 +345 11 4 884992337 +416 338 3 880159023 +158 120 1 880134014 +459 322 4 879561679 +429 611 4 882385593 +416 204 5 893213404 +301 588 5 882077055 +65 50 5 879217689 +378 326 3 892382865 +110 1218 3 886989473 +75 220 1 884050705 +344 509 4 889814195 +429 56 4 882384683 +486 471 5 879874969 +159 294 4 884026788 +334 346 5 891544209 +387 1240 5 886483620 +401 202 4 891033319 +305 748 3 886308147 +373 161 4 877105005 +227 288 2 879035072 +194 633 3 879521254 +457 727 4 882396832 +276 426 3 874793092 +393 48 2 889728177 +13 523 4 882141306 +303 216 5 879466604 +291 285 4 874833746 +393 172 5 887745883 +405 40 2 885547735 +145 380 3 885557699 +7 612 5 891351121 +287 845 5 875334587 +437 89 2 880140101 +185 181 4 883524475 +279 234 2 875654542 +335 305 4 891566861 +448 292 4 891888178 +417 81 5 879647196 +363 566 3 891496439 +334 277 3 891544904 +26 151 3 891372429 +373 132 3 877106940 +399 809 3 882352357 +75 756 2 884050309 +62 273 4 879371980 +102 185 3 888802940 +10 697 3 877888677 +184 127 5 889907396 +42 229 4 881108684 +236 210 2 890118153 +85 393 4 879828967 +21 567 2 874951858 +427 1296 5 879701225 +249 1047 3 879640603 +85 10 4 879452898 +125 659 4 879454628 +55 117 3 878176047 +314 378 5 877888168 +69 282 3 882126048 +468 69 4 875291570 +158 168 5 880134948 +195 127 5 875771441 +7 91 3 891353860 +152 215 5 880149882 +286 658 5 877533543 +381 493 4 892697111 +72 443 3 880037418 +464 482 5 878355258 +339 484 5 891032495 +474 484 5 887925751 +54 25 4 880936500 +455 255 2 884027240 +392 180 5 891038371 +385 152 3 879445856 +222 679 2 881059678 +378 226 3 880332831 +361 813 4 879440475 +286 552 3 877535072 +416 997 3 876699526 +289 254 1 876790734 +336 122 5 877757134 +59 276 5 888203095 +234 980 2 891227851 +277 276 4 879543454 +457 370 3 882396133 +85 416 3 882994912 +387 735 2 886484012 +373 1087 1 877104086 +327 2 2 887820385 +394 132 4 880887000 +373 48 5 877098223 +279 1195 1 875312339 +152 410 4 882478038 +291 581 5 874834827 +207 993 3 877879206 +466 349 2 890283636 +393 1178 3 889729460 +456 710 3 881374649 +7 588 4 891352261 +429 128 3 882386424 +45 762 4 881013563 +393 81 2 889728324 +234 530 4 892333573 +398 154 2 875718614 +400 321 4 885676452 +151 525 4 879528570 +5 449 2 875636099 +332 8 5 888360108 +429 134 5 882385728 +416 328 5 893213644 +268 27 4 875744136 +38 84 5 892430937 +417 7 3 879646260 +94 225 3 891722646 +120 15 4 889490244 +5 226 3 875635962 +424 989 2 880859084 +482 321 3 887644023 +411 258 4 892845634 +435 63 2 884133757 +379 684 4 880525469 +95 180 3 880570852 +343 1067 3 876403078 +323 479 4 878739801 +451 683 1 879012470 +187 663 3 879465242 +76 216 4 875028624 +92 1040 3 876175658 +222 209 4 878181457 +377 7 4 891299010 +13 824 3 886302261 +236 1039 2 890115996 +437 131 5 880140787 +97 1 4 884238911 +455 508 4 882141385 +144 242 4 888103444 +381 1407 3 892697314 +454 378 3 888267128 +471 596 1 889827881 +329 198 4 891656268 +87 780 4 879877173 +387 549 5 886484012 +354 287 3 891216854 +458 321 3 889323855 +303 517 5 879484480 +20 588 4 879669120 +426 505 4 879445005 +28 164 4 881960945 +113 328 5 875076044 +1 68 4 875072688 +332 293 4 887916624 +343 79 4 876406144 +456 447 3 881374332 +251 22 5 886271955 +58 692 2 884305123 +235 69 4 889655468 +345 1226 3 884994592 +299 259 3 877877323 +332 12 5 888098205 +305 690 4 886307828 +130 469 5 876251693 +406 275 3 879446061 +96 174 5 884403020 +213 156 5 878955474 +212 199 5 879303831 +354 154 4 891217897 +317 264 4 891446843 +177 12 5 880130825 +435 225 3 884134076 +417 1215 2 879646712 +416 53 2 876699946 +152 371 4 882477356 +95 91 5 880573288 +454 153 3 888267521 +314 761 4 877889073 +407 88 3 876340144 +430 436 4 877226365 +153 294 2 881370859 +416 1041 3 886319408 +169 498 3 891359170 +487 280 5 883444860 +179 302 4 892151173 +21 872 2 874950889 +269 197 5 891447961 +102 672 1 888803148 +94 401 4 891722678 +320 586 3 884749412 +250 235 2 878089786 +7 660 5 891353051 +409 709 4 881108496 +222 651 4 878184290 +487 455 2 883444252 +304 286 1 884967017 +276 108 3 874786924 +94 451 4 891723494 +238 926 3 883576543 +270 546 4 876954484 +65 660 5 879216880 +327 484 3 887745303 +279 396 3 875314231 +322 196 4 887314352 +416 123 4 876697205 +271 118 3 885848132 +222 367 2 878181563 +363 222 5 891496513 +462 358 1 886365638 +471 477 5 889827918 +426 478 4 879442785 +373 633 4 877098262 +5 401 5 875636308 +389 95 3 880165832 +188 226 3 875074266 +280 161 4 891701249 +332 257 4 887916575 +182 191 4 876435434 +327 22 4 887744167 +354 955 3 891307180 +106 12 4 881451234 +55 181 4 878176237 +464 358 3 878354680 +35 261 3 875459046 +13 463 5 882140318 +207 224 3 884386473 +303 95 5 879484480 +21 680 1 874950972 +200 1219 3 884130289 +481 318 1 885828807 +13 327 3 881515521 +422 293 3 875130027 +406 769 1 879793011 +429 436 4 882386171 +38 445 2 892429399 +458 847 5 889324370 +42 173 5 881107220 +222 208 3 881059014 +2 295 4 888551164 +87 62 5 879875996 +27 286 3 891543393 +328 198 3 885045844 +115 183 5 881171488 +339 433 4 891033542 +339 383 1 891036834 +354 275 4 891216526 +431 988 2 877844657 +447 591 4 878855139 +119 1052 4 886177162 +183 77 3 891466405 +431 322 4 877844559 +62 431 2 879374969 +326 485 5 879875483 +271 479 4 885848615 +346 157 3 874950966 +439 257 4 882893737 +399 98 4 882342894 +91 612 4 891439471 +450 177 4 887136369 +130 769 3 880396541 +234 470 2 892335797 +166 984 5 886397802 +83 717 4 880307339 +276 473 4 874786831 +389 1147 4 879991387 +13 672 1 882396914 +463 311 4 889936814 +391 508 2 877400037 +293 742 2 888904927 +391 60 5 877399746 +279 153 5 891209077 +333 255 3 891045624 +405 1139 1 885546859 +414 310 4 884998993 +324 248 5 880575493 +487 597 4 883444674 +79 19 5 891271792 +221 23 4 875245462 +451 264 3 879012604 +385 1012 3 879440211 +379 89 4 880525424 +293 367 2 888906288 +450 742 4 882396564 +280 746 4 891701148 +327 151 4 887745871 +334 762 3 891545044 +263 1126 5 891298391 +487 470 5 883530409 +405 947 1 885548048 +7 294 1 892130809 +220 300 5 881197663 +11 56 4 891904949 +62 252 3 879373272 +389 80 3 880614254 +487 474 4 883445752 +365 342 2 891303614 +164 845 3 889402071 +145 988 1 891510040 +23 294 1 876785901 +311 483 4 884364437 +270 928 4 876956137 +94 647 5 891720921 +361 59 4 879440652 +173 321 4 877556864 +276 410 4 874786686 +18 476 3 880132399 +61 304 4 891220884 +72 134 5 880037793 +429 367 3 882386485 +151 286 5 879523838 +450 1044 4 887139844 +291 5 5 874834799 +135 98 5 879857765 +394 655 5 880888313 +5 405 3 875635225 +264 702 4 886123531 +339 1017 5 891033567 +354 100 5 891216656 +103 1089 1 880420178 +280 162 3 891701431 +44 98 2 878347420 +465 477 4 883530742 +308 143 4 887739136 +14 12 5 890881216 +293 313 4 888904004 +1 146 4 875071561 +456 231 2 881375226 +279 16 4 875296792 +314 1210 4 877889861 +423 977 1 891395787 +417 1018 3 879649247 +334 333 4 891544233 +467 762 3 879532478 +173 269 4 877556626 +311 276 4 884963282 +405 655 5 885545401 +460 129 3 882912261 +90 709 5 891383752 +435 841 2 884134553 +471 99 2 889827918 +279 398 4 875310764 +18 735 4 880130582 +435 123 2 884133509 +373 1147 4 877104115 +379 12 5 880524943 +346 29 4 875264137 +450 509 4 882398567 +115 4 4 881172117 +401 157 3 891033582 +472 118 4 875979082 +303 800 3 879485352 +399 265 3 882342776 +230 515 5 880484567 +416 366 4 886318128 +325 174 2 891478006 +69 475 3 882072869 +268 780 3 875743929 +343 23 5 876404499 +313 192 3 891015011 +87 575 3 879877208 +474 100 5 887915413 +339 451 3 891034151 +486 15 3 879875278 +469 484 5 879524062 +178 318 5 882826982 +83 846 3 891181639 +92 1073 5 875653271 +215 480 5 891436543 +130 54 5 876251895 +13 99 4 882398654 +112 879 4 884992566 +11 716 3 891905058 +454 607 2 888267315 +205 286 2 888284245 +295 660 5 879518143 +130 1151 3 877984840 +416 443 5 893213549 +311 622 3 884364437 +58 124 5 884304483 +378 845 3 880044419 +463 100 4 877385237 +401 528 5 891033442 +461 321 3 885355757 +418 315 2 891282521 +451 319 2 879012510 +75 123 3 884050164 +92 294 3 875640679 +432 123 3 889416312 +343 238 4 876404647 +38 70 5 892432424 +224 1221 3 888082742 +472 756 4 875978922 +381 526 4 892696831 +141 815 4 884585070 +307 215 4 879283036 +334 95 3 891548069 +454 746 2 881959778 +149 323 2 883512928 +474 474 5 887923789 +42 83 4 881108093 +229 245 3 891632385 +128 487 5 879968029 +392 297 4 891038137 +85 258 4 882812472 +458 591 3 886394730 +75 323 2 884049789 +10 50 5 877888545 +13 785 3 882141924 +325 211 3 891478627 +174 953 5 886514377 +463 10 1 890453075 +21 201 5 874951658 +151 137 5 879528754 +473 813 3 878157427 +409 162 4 881109264 +457 12 5 882397666 +412 70 4 879717449 +393 1074 3 889730296 +457 4 4 882397829 +269 154 3 891449189 +97 919 5 884239616 +130 1267 4 875217265 +321 633 5 879440109 +269 528 4 891447593 +280 56 5 891702544 +405 1566 1 885546248 +112 269 3 884992651 +58 11 5 884305019 +226 174 4 883889186 +196 257 2 881251577 +293 809 2 888908117 +352 195 4 884289693 +272 193 4 879455254 +340 946 5 884991647 +450 89 5 882371311 +256 1109 4 882164867 +487 76 4 883530484 +451 1392 1 879012812 +243 1 4 879987239 +393 391 3 889731703 +244 66 4 880607683 +402 25 4 876266926 +468 544 3 875280417 +276 1031 2 874793035 +349 10 5 879465569 +7 231 3 892132885 +328 553 3 885048235 +389 8 4 880086755 +468 405 2 875280462 +171 887 4 891034835 +65 185 4 879218449 +178 756 3 882824983 +178 846 3 882824467 +492 1021 3 879969415 +452 185 5 875264355 +416 1139 3 886318768 +458 410 1 886394778 +435 245 2 884130810 +415 328 5 879439135 +408 286 3 889679683 +398 158 3 875738202 +85 506 4 886282959 +463 3 2 877386083 +21 547 2 874951292 +334 61 3 891550409 +405 49 1 885547407 +461 1006 5 885355890 +178 764 3 888514648 +381 657 4 892696831 +484 554 4 891195565 +425 447 3 878738854 +28 670 4 881961600 +346 173 3 874948475 +20 866 1 879668583 +244 200 5 880606698 +286 1105 5 884583549 +181 1085 1 878962623 +459 181 4 879562939 +269 1135 2 891448456 +362 302 5 885019260 +401 237 3 891032367 +101 845 3 877136302 +177 693 4 880130653 +72 229 1 880037307 +406 526 5 882480511 +464 300 4 878354626 +152 1041 5 882477572 +198 871 1 884205277 +15 455 1 879455914 +84 111 4 883453108 +346 259 2 886273426 +128 328 2 879966406 +401 553 5 891033523 +268 399 3 875743656 +458 330 3 889324461 +222 282 4 877563227 +222 121 3 877564031 +293 111 2 888905062 +11 211 3 891905003 +405 648 1 885547124 +450 238 5 882396928 +1 176 5 876892468 +423 327 2 891394673 +478 151 5 889388038 +210 1012 4 887730789 +96 42 1 884403214 +144 257 4 888104258 +268 120 2 875743282 +65 294 4 879217320 +449 122 1 879959573 +373 366 4 877105857 +312 70 5 891699398 +89 187 5 879461246 +479 28 4 879461800 +429 826 3 882387139 +78 1047 1 879634199 +456 200 4 881374390 +334 89 4 891545898 +393 418 3 887746207 +311 768 2 884365889 +18 416 5 880131144 +429 170 5 882384526 +398 126 4 875652700 +463 103 1 890530703 +18 4 3 880132150 +435 300 2 884130647 +96 7 5 884403811 +446 883 3 879786837 +145 595 3 885557505 +445 504 3 890988206 +296 357 5 884197068 +42 385 5 881108147 +109 211 5 880578230 +358 584 4 891269913 +455 597 3 879110123 +141 121 4 884585071 +442 26 3 883388576 +405 772 1 885546379 +422 217 3 879744143 +276 942 4 889174904 +398 134 3 875658898 +197 333 2 891409111 +92 679 4 875660468 +451 331 5 879012431 +387 209 5 886480206 +151 382 4 879528754 +58 645 5 884304838 +486 823 4 879875347 +109 944 3 880579107 +318 238 3 884497359 +212 423 4 879304010 +270 60 5 876955066 +179 917 3 892151231 +299 1006 4 878192804 +348 409 4 886523710 +235 655 4 889655550 +84 1028 3 883452155 +18 45 5 880130739 +426 191 4 879442128 +328 380 3 885047737 +253 56 3 891628229 +122 193 4 879270605 +194 178 3 879521253 +404 243 3 883790465 +416 1495 3 886318707 +391 328 3 877398552 +23 14 4 874784440 +90 875 1 891382612 +59 232 3 888206485 +16 216 5 877722736 +110 849 3 886988664 +145 89 4 882181605 +227 294 3 879035431 +433 690 2 880585028 +130 501 5 875801716 +493 222 3 884130416 +301 143 4 882077330 +379 200 4 880524582 +222 546 3 877563462 +429 89 4 882385168 +450 29 3 887661438 +468 742 3 875280310 +308 473 3 887739951 +486 1014 3 879874784 +213 252 3 878870456 +380 1045 3 885479799 +291 1059 4 874834345 +274 924 3 878945918 +95 436 5 879198547 +7 201 2 891351471 +435 50 5 884132515 +281 333 3 881200457 +405 1210 1 885548670 +308 82 4 887738470 +407 660 3 876338986 +298 483 5 884125441 +301 550 3 882078040 +313 25 2 891016757 +195 59 3 888737346 +188 629 4 875073246 +456 3 4 881371660 +444 300 4 891979402 +24 238 5 875323274 +216 182 4 883981859 +437 433 3 880140369 +54 24 1 880937311 +128 942 5 879968742 +425 379 2 878738887 +125 323 3 892836124 +403 127 4 879786221 +288 544 5 886892241 +484 25 3 881449561 +65 168 4 879217851 +399 174 3 882342187 +407 4 4 876340144 +235 1021 5 889656090 +470 1097 3 879178487 +151 86 5 879524345 +60 195 4 883326086 +43 189 5 875981220 +389 152 4 880087647 +350 133 5 882346900 +336 168 5 877757700 +296 55 5 884197287 +299 191 4 878192039 +451 260 5 879012580 +14 920 4 880929745 +1 166 5 874965677 +320 627 4 884751418 +452 597 5 885816916 +405 1589 1 885549745 +128 838 5 879968164 +303 482 5 879467361 +158 546 3 880132719 +379 405 3 883156925 +387 64 3 886480206 +279 10 4 875295838 +343 77 3 876405004 +152 120 2 880149686 +189 1400 3 893265684 +189 172 5 893265683 +298 705 4 884182148 +387 1128 4 886481033 +60 385 4 883327799 +60 665 4 883326893 +336 1037 1 877757550 +311 465 4 884365406 +348 107 4 886523813 +437 466 2 881001121 +280 925 4 891701723 +249 1073 4 879640918 +234 183 4 892079585 +487 939 3 883446757 +459 846 4 879563435 +468 507 5 875295412 +407 869 3 875548522 +293 3 2 888905399 +435 226 4 884133161 +453 412 2 877553302 +416 259 2 885114559 +429 820 3 882387233 +419 286 4 879435190 +59 781 4 888206605 +468 294 3 875279153 +393 409 4 887745258 +330 864 4 876544278 +354 20 5 891216498 +403 240 1 879786084 +43 25 5 875975656 +437 969 4 881001888 +85 705 5 882994912 +378 117 3 880044419 +69 1142 4 882072956 +318 213 4 884497031 +254 1443 4 887347382 +332 815 4 887938224 +68 258 5 876973692 +346 89 4 874948513 +123 197 5 879872066 +406 453 2 880132319 +492 318 5 879969878 +451 875 2 879012721 +343 144 4 876405004 +101 1 3 877136039 +1 138 1 878543006 +102 175 4 892991117 +490 1 3 875427148 +436 102 4 887770588 +277 473 2 879543879 +262 169 3 879791844 +213 31 4 878956338 +343 155 1 876407379 +490 333 3 875427021 +458 939 4 886398187 +352 692 3 884290361 +407 859 3 876348639 +214 319 3 891542735 +416 423 4 878880195 +478 684 4 889396531 +264 269 5 886121456 +489 1293 5 891446623 +160 13 4 876768990 +37 665 3 880916046 +249 210 3 879641305 +424 683 3 880859084 +98 168 2 880498834 +213 286 3 878870598 +56 720 3 892910860 +313 837 4 891014898 +92 231 3 875654732 +384 878 4 891274962 +266 285 4 892257940 +328 241 5 885047252 +268 384 3 875743868 +15 306 5 879455165 +213 175 4 878955599 +394 154 3 880887152 +52 471 4 882922562 +445 475 5 891200869 +193 269 4 889123086 +465 481 4 883529984 +115 357 5 881171982 +435 257 4 884134363 +241 343 2 887250085 +74 313 5 888333219 +374 56 5 880394885 +434 546 5 886725076 +402 591 4 876267041 +200 282 4 884127745 +64 97 3 889738085 +244 111 4 880604550 +409 135 5 881107860 +187 97 3 879465717 +119 96 5 874781257 +403 410 2 879790445 +95 391 2 879196566 +457 228 5 882392853 +126 333 2 887853919 +276 1221 3 890979470 +486 221 4 879875040 +429 1443 2 882386601 +483 237 3 878953019 +130 888 3 881076146 +226 508 4 883889984 +271 1411 2 885849895 +293 240 2 888905086 +406 481 3 879446168 +472 250 5 875978059 +336 121 4 877760441 +308 432 4 887737036 +62 56 5 879373711 +1 247 1 875241619 +54 471 4 880937399 +406 715 4 880131821 +18 287 4 880131144 +453 568 3 888207161 +327 8 4 887819860 +299 895 2 884993860 +92 200 3 875811717 +452 1534 1 876298233 +308 254 2 887742454 +181 15 3 878962816 +433 748 4 880585491 +471 588 1 889827881 +221 335 4 876502948 +308 318 4 887736743 +100 300 4 891375112 +195 264 3 890721304 +94 642 4 891720590 +151 118 3 879542588 +151 631 3 879524849 +190 125 3 891033863 +393 808 4 889554882 +60 128 3 883326566 +94 190 5 885870231 +113 303 5 875935244 +373 480 3 877098643 +322 608 3 887314027 +394 550 4 881058101 +398 485 5 875657857 +332 11 5 888359882 +330 148 4 876544781 +117 237 4 880126232 +387 96 4 886480447 +1 89 5 875072484 +269 88 1 891450427 +9 615 4 886959344 +474 161 4 887926633 +145 1073 5 875272009 +490 9 4 875428765 +472 1210 3 875983484 +345 43 3 884993890 +128 873 1 879966524 +455 647 4 879111092 +110 33 4 886988631 +426 418 3 879444871 +472 625 4 875981968 +422 235 2 875130173 +92 198 5 875653016 +158 96 4 880134332 +450 15 3 882812350 +463 930 1 889936180 +458 152 5 886397275 +450 837 4 887835478 +327 4 4 887819161 +199 892 1 883782485 +293 258 3 888904092 +236 132 4 890115897 +279 129 1 884986081 +358 863 5 891269666 +226 527 4 883889430 +132 56 5 891278996 +271 392 3 885848343 +478 673 3 889395696 +119 831 2 874775980 +328 11 3 885047450 +404 259 5 883790491 +268 71 3 875309486 +11 577 3 891905555 +452 14 3 888568076 +428 289 4 885943981 +493 284 4 884130619 +194 90 3 879552841 +411 265 5 892845604 +313 328 4 891012907 +453 42 5 877554301 +94 943 3 891722338 +1 2 3 876893171 +336 94 3 877756890 +125 258 5 892835624 +175 193 4 877108098 +337 515 5 875184280 +393 997 1 889731703 +159 1095 5 880557824 +230 134 4 880484755 +487 1188 3 884045361 +301 144 4 882076021 +210 629 3 891035928 +246 412 1 884923305 +298 527 5 884182725 +437 1134 4 880141008 +344 272 5 885769962 +194 194 4 879523575 +76 324 4 875027206 +453 154 3 877554587 +196 108 4 881252110 +224 1401 1 888104554 +221 1090 3 875246783 +325 2 1 891478772 +445 87 3 890988205 +436 90 3 887770266 +429 640 3 882386533 +130 1034 2 876250833 +458 50 2 886396521 +380 770 3 885480222 +484 141 4 891195886 +270 713 5 876954122 +242 1 4 879740362 +253 588 5 891628416 +311 300 4 884363831 +482 988 4 887643499 +343 87 4 876404613 +13 739 4 886303745 +275 826 2 876197904 +305 163 3 886325627 +189 241 3 893265947 +301 76 4 882078250 +406 634 4 879446361 +293 89 5 888905582 +276 1047 3 889174658 +417 178 3 879646965 +288 427 5 886374342 +343 660 3 876405004 +468 31 3 875287615 +394 1033 3 880889475 +234 216 3 892078605 +389 174 4 879991115 +145 1132 3 875271522 +405 212 1 885546445 +313 525 5 891013525 +181 1349 1 878962278 +303 1270 1 879485770 +276 720 2 874791464 +155 990 3 879371194 +459 825 3 879563474 +397 513 5 885349715 +160 100 5 876767023 +403 471 5 879785822 +122 429 3 879270165 +146 258 4 891457714 +314 501 4 877888610 +244 537 5 880602593 +458 333 1 889323582 +286 417 3 877533993 +43 291 3 883955995 +395 342 4 883762414 +457 474 5 882398178 +400 304 4 885676490 +484 96 5 891195323 +376 514 4 879434613 +458 423 2 886396314 +286 475 4 875807074 +385 160 4 879441572 +450 65 3 882376885 +210 172 5 887736261 +222 79 5 878181906 +354 863 3 891306919 +416 708 4 889907392 +254 64 4 886472051 +267 231 4 878973153 +293 62 1 888907624 +210 23 5 887730102 +406 737 3 879793376 +312 1 5 891698832 +367 919 5 876689790 +43 82 4 883955498 +406 756 3 879540387 +373 392 4 877100061 +489 342 3 891445199 +313 480 5 891013742 +301 1074 2 882078580 +271 660 5 885848971 +14 127 2 879644647 +325 1 2 891478665 +308 30 4 887738933 +338 654 5 879438143 +450 49 5 882469728 +450 176 4 882373088 +162 11 4 877636772 +487 293 5 883441813 +407 269 3 893081121 +407 202 4 876338150 +405 552 1 885548686 +152 71 5 882900320 +305 88 2 886323966 +85 481 4 879454582 +446 294 1 879786984 +222 378 1 881059993 +389 172 5 879991175 +246 475 4 884921637 +174 221 4 886433771 +478 50 3 889396509 +474 921 3 887926271 +12 392 4 879959025 +438 237 5 879868278 +6 22 3 883602048 +213 181 4 878870552 +34 1024 5 888602618 +242 475 3 879740223 +207 137 3 877821612 +44 200 4 878347633 +71 64 4 885016536 +354 507 3 891306892 +435 550 3 884133253 +264 1074 4 886123727 +144 533 4 888104258 +479 168 5 889126007 +141 244 5 884585247 +325 272 3 891477537 +201 171 3 884111678 +263 316 5 891297416 +496 142 2 876067686 +344 955 4 889814195 +468 51 3 875293386 +394 554 4 881058101 +455 196 4 879111737 +250 288 4 878088970 +393 87 4 889554706 +398 95 5 875659266 +76 42 3 882606243 +440 283 5 891577894 +374 148 4 880392992 +380 71 4 885479082 +218 203 4 881288620 +25 479 5 885852569 +332 982 3 887938601 +13 83 2 886303585 +176 151 4 886048305 +194 503 4 879522916 +467 264 2 879532296 +455 161 4 879112098 +406 476 4 879540147 +494 64 5 879541207 +286 883 5 884069544 +100 328 4 891375212 +13 313 4 882774047 +64 265 4 879365491 +330 91 4 876547426 +326 491 4 879876235 +279 421 3 892864867 +335 902 5 891566808 +158 275 5 880132313 +452 173 4 875261350 +193 38 3 889126055 +151 528 5 879524849 +201 1422 2 884114194 +387 319 1 886484384 +360 45 4 880355747 +374 845 2 883627072 +71 257 5 877319414 +394 576 2 881058371 +417 727 5 879648325 +472 232 4 875983321 +268 369 1 875744021 +393 1120 3 887745409 +361 90 2 879441179 +271 218 3 885849087 +256 118 5 882151123 +457 471 4 882393421 +279 413 4 889151529 +396 288 3 884645648 +318 381 1 884497516 +50 319 5 877051687 +18 319 4 880129305 +385 865 4 879924267 +471 94 5 889828081 +378 87 4 889665232 +178 237 4 882824291 +314 794 4 877888952 +450 434 3 882372027 +433 657 5 880585802 +464 328 3 878354722 +77 97 2 884753292 +195 797 3 877835268 +455 300 4 878585250 +452 792 5 887890364 +422 410 5 875130230 +128 132 3 879966785 +181 1389 1 878962119 +373 648 4 877099048 +456 80 2 881374967 +326 720 2 879876975 +456 161 3 881374967 +59 216 4 888205228 +420 319 4 891357188 +178 472 4 882824194 +339 117 3 891034152 +435 136 4 884132434 +457 48 5 882397293 +184 528 5 889908462 +124 172 3 890287645 +483 144 2 878954228 +192 284 5 881367987 +73 255 2 888792938 +90 117 3 891385389 +168 126 5 884287962 +457 980 4 882395283 +145 510 4 882181859 +95 82 3 879196408 +19 319 4 885411465 +58 433 5 884305165 +21 322 3 874951005 +271 476 1 885848062 +195 753 3 874824313 +257 676 4 882050006 +430 9 3 877225726 +303 808 2 879484480 +271 12 4 885848314 +267 789 5 878972119 +5 443 4 875720744 +37 82 1 880915942 +313 823 3 891028555 +405 780 3 885547691 +385 24 3 879440726 +10 157 5 877889004 +15 928 1 879456404 +495 174 5 888632319 +454 82 4 881960446 +305 168 4 886323115 +328 739 3 885048611 +326 397 3 879876975 +432 246 4 889415895 +450 729 4 887139517 +301 527 4 882076238 +6 419 4 883602284 +198 690 3 884204427 +198 25 2 884205114 +452 488 4 885546945 +417 441 3 879648611 +207 291 3 876018608 +328 665 2 885048801 +379 461 4 880525031 +318 24 4 884495132 +90 175 3 891383912 +178 340 1 882823353 +449 1318 2 879959573 +323 741 3 878739543 +450 1184 1 882397049 +158 118 5 880132638 +495 167 4 888636958 +251 111 3 886272319 +145 1290 1 875272732 +224 276 3 888104116 +384 328 4 891274091 +486 689 2 879874064 +324 538 4 880574901 +234 174 3 892078605 +437 404 5 880141374 +13 462 5 882140487 +434 121 4 886724666 +293 503 4 888907145 +477 815 5 875941763 +333 435 4 891045245 +395 98 5 883764061 +454 245 3 881958782 +493 762 4 884130439 +481 210 4 885828165 +455 173 4 879111937 +374 819 3 882157793 +293 297 4 888905034 +58 501 2 884305220 +109 763 2 880571715 +6 50 4 883600842 +345 1117 4 884900810 +192 50 4 881367505 +454 172 2 888266906 +490 284 3 875427993 +56 183 5 892676314 +38 97 5 892430369 +280 98 5 891700208 +447 7 5 878854383 +313 496 5 891014753 +343 324 5 876402468 +479 174 5 889125837 +454 173 2 888267028 +311 729 4 884365451 +110 905 3 886987236 +23 414 3 874785526 +328 270 2 885044641 +416 105 2 876698430 +198 215 4 884208098 +94 25 3 891724142 +486 147 2 879875249 +6 520 4 883600985 +222 216 4 878182632 +15 14 4 879455659 +340 215 5 884990620 +460 286 4 882910838 +401 588 2 891033549 +457 631 4 882547620 +43 313 5 887076865 +353 328 2 891402259 +432 151 4 889415895 +445 845 2 891200320 +294 347 5 889241377 +429 1035 3 882386260 +457 699 4 882548615 +303 575 4 879544219 +493 69 5 884130995 +10 302 4 877886162 +387 50 5 886480108 +7 596 5 891351728 +312 434 3 891699263 +23 124 5 874784440 +256 232 3 882164525 +405 469 1 885546288 +284 262 4 885328836 +467 109 5 879532550 +426 754 1 879441707 +62 605 3 879375364 +486 476 3 879875371 +59 123 3 888203343 +361 475 4 879440475 +476 204 4 883364325 +493 751 5 884129793 +7 611 3 891351161 +106 211 4 881452532 +151 496 4 879524974 +339 650 4 891032438 +387 969 3 886480163 +345 696 3 884991267 +319 269 3 875707746 +131 251 5 883681723 +405 624 4 885548836 +487 658 4 883530434 +58 514 5 884305321 +280 94 2 891702028 +151 152 3 879525075 +363 752 5 891493885 +62 744 3 879372304 +460 289 4 882910838 +280 90 4 891701530 +497 234 2 879361847 +234 1447 3 892336119 +464 709 5 878355258 +456 443 4 881373019 +405 431 3 885547996 +326 501 3 879876688 +11 386 3 891905279 +269 723 1 891448643 +416 126 5 893213103 +20 423 2 879669313 +102 319 4 875886434 +295 91 5 879519556 +339 209 5 891032600 +200 1034 3 891825521 +60 210 4 883326241 +57 245 4 883696709 +473 1129 4 878157507 +473 257 4 878157456 +486 620 2 879875441 +363 469 2 891496077 +393 780 4 889731390 +487 121 4 883444832 +479 325 1 879459791 +291 8 4 874871766 +423 304 4 891394632 +406 28 3 882461684 +433 60 5 880585700 +13 768 4 882398724 +291 238 5 874871736 +274 274 4 878945963 +15 269 5 879455165 +468 71 5 875295148 +429 1203 4 882386357 +84 294 3 883449317 +435 254 3 884134910 +495 71 5 888634111 +42 228 4 881107538 +110 64 4 886987894 +80 303 4 883605055 +484 755 4 891195825 +94 260 2 891725049 +405 1111 1 885547360 +362 328 2 885019504 +457 871 1 882393765 +268 1074 3 875744051 +224 97 5 888082552 +312 69 4 891699182 +456 1 2 881371548 +396 329 2 884645615 +416 276 3 876697243 +232 133 4 888549988 +474 316 5 887914979 +48 480 4 879434653 +256 769 5 882164955 +332 159 5 887939071 +436 127 5 887769930 +62 241 1 879375562 +104 126 4 888465513 +256 568 5 882164603 +117 172 5 881012623 +378 1135 2 880333069 +399 91 4 882345023 +174 239 4 886439537 +406 831 2 879540249 +303 13 4 879484918 +357 10 5 878951831 +339 86 4 891032221 +318 605 4 884497425 +201 387 2 884140825 +315 56 5 879821037 +59 284 2 888203449 +457 597 3 882393908 +357 595 4 878951537 +468 283 4 875280331 +189 105 2 893264865 +472 181 5 875978034 +256 56 3 882164406 +373 1188 3 877106597 +181 845 3 878962816 +40 337 4 889041523 +484 53 1 891195663 +305 1513 2 886322212 +293 955 2 888906464 +244 281 3 880605010 +440 512 3 891578059 +368 181 4 889783678 +218 294 2 881288574 +100 1235 4 891375454 +6 169 4 883600943 +371 42 3 880435397 +301 405 4 882074727 +22 451 4 878887062 +158 745 4 880135044 +297 603 5 875239942 +497 840 3 879310679 +244 833 3 880607878 +331 694 4 877196702 +472 1091 4 875982804 +347 1 4 881652518 +488 480 3 891376110 +378 62 4 880333851 +331 482 2 877196235 +236 203 4 890116132 +396 591 3 884646114 +388 845 4 886437163 +498 475 3 881954617 +311 321 3 884363948 +493 61 4 884131263 +454 1003 2 881960446 +470 294 3 879178237 +297 265 3 875239454 +194 1412 2 879551921 +80 100 5 887401453 +214 427 5 892668172 +95 199 5 880570964 +422 590 2 879743948 +56 158 3 892911539 +177 121 2 880131123 +416 155 5 893212895 +456 479 5 881373900 +394 79 5 880887206 +401 318 4 891032737 +442 159 4 883391299 +256 1228 1 882164643 +207 12 3 878104200 +6 246 3 883599509 +268 158 2 875743678 +450 70 4 882374497 +370 98 4 879434937 +235 327 3 889654594 +207 562 2 875509507 +436 447 1 887769444 +256 1114 4 882153699 +165 15 5 879525799 +476 232 3 883364250 +101 924 4 877136535 +442 342 2 883388147 +178 1016 4 882824253 +255 672 2 883216544 +222 176 4 878181804 +495 139 2 888636810 +429 550 3 882387350 +416 197 5 893213103 +435 1419 2 884133785 +32 288 4 883709915 +478 282 3 889398216 +344 385 2 884901503 +104 10 2 888465413 +94 356 4 891722646 +255 118 1 883216958 +387 219 2 886481686 +379 158 1 885063748 +278 245 3 891295230 +294 332 3 877818915 +184 357 5 889913687 +440 515 4 891578301 +435 73 3 884132403 +316 173 1 880853654 +237 357 4 879376327 +236 211 3 890116539 +57 125 3 883697223 +391 460 4 877400091 +361 737 4 879441179 +377 316 4 891297001 +237 190 4 879376515 +125 1246 2 892838687 +87 48 4 879875649 +314 280 3 877887034 +487 501 4 883531122 +407 99 4 876338883 +495 674 3 888635995 +487 252 1 883445079 +474 649 4 887927588 +144 187 4 888105312 +315 25 5 879821120 +435 403 4 884132756 +308 708 4 887739863 +97 135 5 884238652 +249 203 5 879572167 +145 879 5 877343000 +110 94 4 886989473 +470 824 4 879178731 +346 7 2 874947923 +409 474 5 881107351 +450 728 3 887834953 +268 33 3 875310645 +44 135 5 878347259 +100 1237 3 891375630 +457 436 4 882547619 +402 1048 2 876266985 +429 403 4 882385902 +43 756 3 884029519 +194 357 4 879520916 +296 287 4 884196765 +463 864 3 890530351 +136 647 5 882848783 +395 328 4 883762528 +271 507 2 885848707 +43 939 3 883955547 +116 333 2 876452054 +104 845 3 888465634 +484 651 5 891194910 +394 455 4 880889066 +332 763 5 887938421 +18 520 4 880129595 +244 553 5 880606215 +385 674 3 879447250 +267 515 5 878970710 +26 276 4 891386369 +269 204 2 891449842 +60 510 5 883327174 +268 579 1 875744021 +415 56 5 879439865 +405 50 5 885544947 +397 504 5 885349865 +429 481 3 882386237 +201 1428 4 884114099 +72 525 4 880037436 +44 132 4 878347315 +416 1091 3 892441516 +91 988 2 891438583 +405 969 3 885545015 +313 486 3 891015219 +130 299 3 874953526 +336 63 2 877757268 +447 183 5 878856394 +59 59 5 888204928 +496 64 3 876066064 +434 275 3 886724633 +104 840 1 888466086 +497 1185 1 879363205 +488 568 3 891294707 +417 382 2 880949941 +347 187 5 881653652 +63 475 4 875747319 +452 420 3 875562510 +479 248 4 879460192 +246 853 5 884922383 +213 222 3 878870790 +437 393 3 880382747 +58 300 4 884388247 +405 185 4 885544769 +87 232 3 879876037 +488 510 4 891294854 +378 235 4 880045006 +21 878 2 874951039 +270 145 3 876956419 +198 168 4 884207654 +286 176 4 878142001 +383 81 4 891193072 +207 826 2 877751143 +472 400 5 892791062 +412 206 2 879717649 +7 682 2 891350383 +293 856 3 888905686 +75 845 3 884050194 +343 83 4 876404957 +436 392 4 887769079 +133 272 5 890588672 +338 301 4 879437655 +455 1174 3 879109663 +437 1211 4 881001208 +435 190 4 884132146 +290 403 2 880475542 +308 248 4 887741437 +436 895 4 887768717 +497 227 2 879310883 +287 50 5 875334271 +444 100 5 890247385 +406 596 3 879540078 +363 1035 2 891497925 +314 1152 4 877887469 +452 971 4 875560019 +92 742 3 886443192 +237 179 4 879376641 +52 22 5 882922833 +384 271 4 891283502 +456 818 3 881372114 +64 50 5 889737914 +16 143 5 877727192 +311 177 5 884364764 +94 77 3 891721462 +479 528 4 879461060 +328 823 3 885049024 +286 181 3 875807043 +487 672 4 884024462 +421 517 2 892241491 +453 188 4 877554466 +303 1157 2 879543711 +405 179 1 885546201 +230 570 4 880485689 +130 262 3 877926419 +186 829 4 891719775 +94 369 1 891723459 +497 363 2 879310649 +489 289 2 891366748 +432 763 5 889416570 +393 417 3 887746523 +454 88 4 888267560 +22 840 4 878888184 +251 64 5 886271640 +425 363 1 878739095 +429 705 4 882384896 +354 137 3 891216575 +230 609 3 880485311 +279 372 4 875310117 +268 124 4 875742499 +118 919 5 875385386 +417 508 3 879646123 +452 269 5 888568251 +406 222 3 879445735 +296 198 5 884197264 +92 91 3 875660164 +416 55 2 876699102 +181 989 1 878961780 +295 188 3 879518042 +181 1337 1 878963121 +22 932 1 878887277 +462 289 5 886365837 +59 606 4 888204802 +201 227 4 884310149 +264 194 5 886123358 +152 237 5 880148734 +7 529 2 891352626 +419 223 4 879435785 +234 47 2 892334543 +487 276 3 883444252 +363 760 1 891499993 +236 432 5 890118251 +239 675 5 889180617 +145 300 3 875269755 +13 606 4 882140130 +487 932 3 883444941 +391 288 3 877398679 +442 286 2 883388031 +64 162 3 889739262 +83 732 4 880308390 +90 302 5 891383319 +190 281 3 891042916 +404 289 1 883790492 +133 346 3 890588577 +423 1265 4 891394788 +62 554 1 879375562 +23 132 4 874785756 +194 229 1 879535548 +40 305 4 889041430 +312 206 5 891699399 +340 199 5 884990988 +469 610 4 879523947 +357 245 4 878951101 +334 345 2 891544177 +90 606 5 891383173 +5 257 5 875635239 +420 753 5 891356864 +236 483 5 890116221 +330 132 5 876546498 +328 399 2 885049405 +13 773 1 882396869 +416 554 3 886318394 +299 311 4 880198334 +128 340 4 879966355 +465 300 3 883529601 +18 168 3 880130431 +435 90 4 884132756 +455 511 5 879110971 +95 1091 3 880572658 +416 747 5 893212929 +342 606 5 875318882 +413 257 4 879969592 +417 715 2 879648656 +466 321 2 890282986 +450 174 5 882374422 +286 111 5 876521858 +436 746 5 887770015 +152 1301 5 884018462 +499 511 5 885599227 +499 210 3 885599201 +405 1592 1 885549903 +276 84 2 877934232 +437 483 5 880141962 +417 242 3 879645999 +82 168 5 878769748 +417 871 2 886187012 +416 402 5 893212623 +178 82 5 882826242 +126 315 4 887853469 +301 156 4 882076098 +311 549 2 884366111 +87 202 5 879876403 +200 69 5 884128788 +491 475 4 891185170 +267 455 3 878970578 +62 70 3 879373960 +84 274 4 883452462 +130 27 4 875802105 +276 264 3 892436418 +491 45 5 891189631 +276 750 4 882659186 +311 127 4 884364538 +370 856 3 879435033 +474 705 3 887924619 +301 91 3 882078906 +26 750 4 891347478 +334 310 3 891544049 +23 275 5 874785474 +450 1047 4 882469941 +272 98 4 879454797 +354 421 2 891306852 +194 546 3 879541806 +7 143 3 892132627 +13 200 3 882140552 +493 252 4 884130619 +75 926 3 884050393 +481 1089 3 885828072 +244 946 4 880607545 +311 63 3 884365686 +130 423 5 875216978 +268 222 4 875742275 +435 542 1 884133691 +346 141 4 874950692 +498 176 2 881956498 +435 186 4 884132367 +117 678 4 880124435 +292 250 3 881104679 +472 120 5 883904649 +393 727 3 889729614 +442 168 4 883388325 +7 678 3 891350356 +378 744 3 880044609 +87 199 5 879875649 +267 64 5 878972193 +18 153 4 880130551 +95 31 4 888954513 +453 33 4 877561522 +432 315 5 889415763 +437 737 1 880142614 +487 117 5 883443504 +307 227 5 879538922 +129 286 5 883243934 +407 879 3 878597296 +388 111 3 886437163 +85 432 4 880838305 +16 282 5 877718755 +109 735 5 880577989 +347 157 5 881654567 +215 496 5 891435183 +280 176 3 891700426 +130 252 5 876250932 +456 737 3 881375254 +94 703 3 891721562 +21 300 3 874950889 +207 23 4 875509888 +64 22 4 889737376 +387 61 3 886483565 +416 11 4 876699238 +90 703 3 891384997 +207 179 4 877822224 +151 1039 4 879524471 +43 1047 3 883956387 +42 582 3 881108928 +164 293 4 889402121 +286 1375 5 889651445 +200 169 5 884128822 +404 343 1 883790656 +477 280 4 875941022 +379 701 4 892879481 +301 240 4 882074494 +11 258 5 891901696 +61 258 4 891206125 +85 527 4 879455114 +16 502 4 877723670 +456 460 3 881371942 +145 929 2 888398069 +27 244 3 891543222 +445 829 1 891200624 +407 244 3 884614753 +427 874 5 879701326 +39 313 4 891400159 +429 140 1 882386260 +456 933 3 881371595 +367 176 5 876689738 +319 268 4 889816026 +334 1014 2 891545293 +15 13 1 879455940 +486 874 3 879874297 +45 934 2 881015860 +2 242 5 888552084 +427 245 5 879701326 +325 137 5 891477980 +362 264 1 885019695 +297 114 5 875239569 +59 161 3 888205855 +416 297 4 876697448 +328 28 5 885045931 +472 151 3 875978867 +85 284 3 879452866 +426 132 4 879442083 +360 1 3 880354315 +296 293 5 884196765 +455 323 3 878585277 +406 63 3 880131821 +59 22 4 888204260 +21 674 2 874951897 +117 789 4 881011413 +196 202 3 881251728 +279 70 1 875309141 +85 57 5 879828107 +59 1021 4 888204996 +374 763 3 880393754 +75 477 4 884050102 +119 1034 3 874775980 +374 144 5 880394716 +493 431 5 884132037 +28 859 3 881961842 +312 463 5 891698696 +493 121 5 884131690 +276 240 4 874786713 +321 211 4 879440109 +371 210 4 880435313 +83 71 3 880328167 +467 268 5 879532164 +376 246 3 879459054 +271 526 5 885849188 +360 582 4 880355594 +394 679 3 881058062 +201 1011 3 884140853 +393 1244 3 887745380 +272 210 5 879455220 +176 475 5 886047918 +463 285 4 877385125 +311 100 1 884963136 +392 169 4 891038978 +281 308 1 881200297 +325 604 4 891478504 +495 153 5 888633165 +244 721 5 880602031 +313 322 3 891014313 +472 195 5 875982005 +456 218 4 881374522 +169 483 3 891359200 +460 532 3 882912370 +291 706 3 874867785 +312 187 5 891699345 +127 222 5 884364866 +234 430 4 892333683 +380 28 4 885479436 +450 723 3 882399818 +474 488 3 887925977 +343 744 4 876402941 +173 874 4 877556926 +16 95 5 877728417 +59 99 4 888205033 +432 410 4 889415895 +451 457 2 879012890 +388 769 3 886441306 +181 455 1 878962623 +376 198 5 879454598 +442 780 3 883388986 +435 674 2 884132643 +334 678 3 891544446 +387 790 1 886482969 +211 9 3 879460172 +184 378 4 889909551 +298 194 5 884127249 +64 768 2 889739954 +402 864 3 876266926 +393 3 3 887745293 +328 699 4 885046718 +364 294 5 875931432 +53 121 4 879443329 +184 183 4 889908630 +102 665 1 888802319 +474 191 5 887923789 +11 745 5 891905324 +234 153 3 892333830 +165 176 4 879526007 +417 428 3 879647966 +16 404 5 877728417 +462 332 5 886365706 +184 44 4 889909746 +30 259 4 875058280 +95 170 5 880573288 +20 181 4 879667904 +416 289 3 876696788 +456 68 4 881374437 +474 136 4 887925187 +425 298 4 878738992 +92 755 3 875656055 +373 265 4 877105901 +407 185 5 875044597 +379 736 4 880525945 +434 220 5 886724873 +342 282 1 875318366 +366 413 4 888857598 +308 510 3 887736925 +339 69 4 891032633 +495 89 3 888632888 +130 269 4 881075976 +121 479 5 891388113 +318 289 3 884470682 +284 347 5 885328727 +446 880 2 879786943 +125 195 5 892836465 +380 213 2 885479319 +408 288 4 889679791 +486 321 3 879874153 +455 582 2 879111982 +313 770 4 891028285 +144 196 4 888105743 +312 174 5 891698224 +210 94 4 891036181 +348 988 3 886522799 +276 402 3 874791407 +386 515 5 877654961 +395 596 2 886481149 +435 800 4 884133819 +385 896 5 883869456 +189 99 5 893265684 +230 79 5 880484778 +256 403 4 882164603 +396 1399 3 884645942 +345 56 5 884902317 +423 276 5 891395602 +343 152 4 876404612 +85 447 3 882994767 +399 84 2 882345842 +375 939 3 886622024 +393 237 4 887744328 +405 996 1 885547268 +395 257 5 883765386 +296 100 5 884196489 +346 748 4 874947380 +479 135 4 879461255 +280 29 3 891701852 +339 99 4 891035180 +436 1119 4 887769368 +291 31 4 874834768 +199 116 5 883782807 +60 174 4 883326497 +405 66 5 885547268 +128 121 4 879968278 +206 269 4 888180018 +380 95 4 885479274 +500 111 4 888538350 +451 984 4 879012647 +492 492 4 879969512 +123 435 5 879809943 +206 308 2 888180049 +424 275 5 880859410 +496 526 3 876067597 +426 490 4 879444853 +135 288 3 879857575 +38 402 5 892430539 +331 32 4 877196633 +472 763 4 875978922 +484 265 5 891195476 +154 919 4 879138712 +144 215 4 888105714 +369 50 5 889428642 +89 111 4 879441452 +493 82 5 884132058 +457 241 3 882398086 +299 88 3 889502902 +497 566 3 879310941 +232 531 4 888549647 +425 257 3 878738992 +412 408 4 879717016 +165 222 5 879525987 +339 88 4 891035454 +399 405 3 882340599 +94 728 2 891723748 +13 663 5 882140252 +276 931 2 874836682 +174 269 5 886432811 +272 50 4 879454900 +276 79 4 874792436 +83 508 2 887665655 +409 676 2 881108777 +420 275 5 891357071 +180 186 4 877127189 +407 629 3 876339975 +359 286 5 886453161 +474 48 4 887923923 +312 850 5 891698764 +43 111 4 883955745 +339 436 4 891035147 +320 226 4 884749306 +181 363 1 878963342 +397 332 2 882838773 +383 268 5 891192338 +476 72 4 883364433 +12 133 4 879959670 +385 451 1 879447205 +95 1101 2 879197970 +301 265 4 882075672 +387 226 3 886483252 +391 8 3 877399030 +472 747 5 875982051 +450 477 4 887660762 +457 722 4 882550154 +314 393 4 877889133 +346 215 3 874948303 +262 433 4 879791790 +451 682 4 879012580 +114 56 3 881260545 +184 176 4 889908740 +83 527 4 880307807 +13 350 2 886302293 +348 934 4 886523839 +193 310 4 890834947 +405 1099 1 885549588 +379 285 5 880524753 +291 290 4 874834001 +430 273 4 877225894 +349 596 2 879465814 +459 79 3 879566291 +90 607 5 891384673 +82 1163 2 884714204 +502 892 2 883702867 +373 136 4 877099091 +432 258 4 889416657 +236 476 3 890117308 +417 217 4 879648594 +195 982 2 877835350 +488 748 4 891293606 +450 419 5 887660504 +192 121 2 881368127 +15 252 2 879456351 +109 323 3 880562908 +97 204 5 884238966 +334 655 4 891546257 +109 265 5 880578185 +450 689 3 882216026 +172 606 3 875537964 +37 273 3 880915528 +284 307 4 885329322 +423 326 4 891394874 +11 654 3 891905856 +222 735 5 878184087 +118 559 4 875385306 +85 188 2 879454782 +379 62 2 888646058 +437 517 4 880140927 +396 829 3 884646648 +376 111 4 879459115 +181 974 4 878963417 +391 604 4 877399380 +363 159 1 891496667 +214 181 3 891543036 +178 322 3 882823460 +85 222 2 879452831 +13 342 4 885744650 +84 276 4 883449944 +452 554 3 875562245 +214 650 5 892668173 +398 732 4 875719199 +182 203 3 876436556 +22 167 3 878887023 +48 1065 2 879434792 +249 89 5 879572229 +428 908 4 885944024 +457 456 2 882395851 +301 203 4 882077176 +497 465 3 879363610 +452 171 4 875277472 +253 22 5 891628435 +373 403 3 877106741 +464 333 4 878354761 +97 431 3 884239616 +421 182 5 892241624 +181 1038 1 878962005 +480 203 4 891208520 +328 1483 4 893195825 +336 105 4 877755098 +91 498 3 891439271 +434 125 5 886724708 +336 732 3 877756356 +429 15 5 882386941 +424 689 1 880858887 +370 285 3 879435193 +420 251 5 891357070 +500 781 3 883874776 +407 448 4 875553460 +446 326 2 879786943 +487 739 2 884046879 +367 179 5 876689765 +223 866 4 891549945 +389 514 5 879991329 +16 79 5 877727122 +145 202 4 875272694 +33 245 3 891964326 +454 605 2 888267487 +405 1018 1 885549589 +450 582 4 882394097 +339 234 4 891032255 +346 117 4 874950054 +60 8 3 883326370 +289 21 1 876790499 +241 335 3 887250085 +275 515 3 876197552 +43 1023 3 875975323 +297 8 5 875239795 +466 331 5 890284231 +396 619 3 884646191 +264 676 3 886123172 +64 568 4 889737506 +474 257 3 887915511 +198 210 4 884207612 +503 181 5 879438319 +416 1037 2 892440156 +381 150 4 892697542 +275 154 2 875154878 +343 786 4 876406181 +90 837 5 891384476 +85 423 4 879454046 +18 211 5 880131358 +11 57 2 891904552 +474 77 5 887926106 +459 282 3 879562995 +279 146 1 875297281 +94 176 4 891720570 +450 270 4 882216108 +502 301 1 883702370 +393 69 4 887745883 +89 1074 5 879459909 +406 431 3 882480710 +283 175 4 879298270 +222 41 3 881060659 +189 283 5 893264300 +347 77 5 881654386 +406 3 3 879540228 +80 213 3 887401407 +64 603 3 889737506 +474 76 4 887926573 +378 619 3 880044879 +418 258 5 891282551 +95 596 2 879193651 +198 101 5 884209569 +194 498 3 879521595 +472 682 4 887297923 +64 11 4 889737376 +493 100 5 884130308 +472 318 5 892791017 +332 273 5 887938277 +392 1012 4 891038184 +284 748 3 885329671 +294 340 4 889241280 +142 408 4 888640379 +450 7 4 882376885 +303 29 2 879485134 +440 323 1 891577504 +411 720 3 891035761 +427 989 5 879701253 +458 717 1 886395230 +325 1003 3 891480133 +396 1028 3 884646191 +213 432 4 878956047 +303 1273 2 879485278 +488 434 4 891294785 +188 498 5 875073828 +310 1386 1 879436177 +250 1199 3 878089467 +141 259 1 886447904 +13 829 3 882398385 +406 427 4 879445897 +503 1316 1 892667252 +253 331 3 891627664 +92 240 2 875640189 +151 171 5 879524921 +399 722 2 882348153 +429 201 3 882385399 +175 234 5 877108015 +391 69 4 877399618 +472 609 5 875981551 +467 288 4 879532804 +292 58 5 881105442 +499 664 3 885599334 +496 132 3 876065881 +286 90 4 877533224 +419 514 4 879435785 +254 548 2 886475319 +435 367 3 884131741 +496 1074 2 876068100 +346 12 5 874950232 +354 1194 4 891217429 +173 305 5 877556626 +3 321 5 889237455 +387 135 5 886480288 +305 479 3 886323275 +354 189 3 891217249 +378 924 3 880331938 +339 317 4 891032542 +122 661 4 879270327 +188 28 3 875072972 +57 833 4 883697705 +251 685 4 886272585 +345 288 3 884901497 +203 288 5 880433368 +43 269 5 888177393 +313 178 5 891013773 +51 83 5 883498937 +158 209 5 880135001 +487 172 4 883530409 +405 1267 1 885546379 +135 56 4 879857765 +489 292 4 891366693 +450 155 4 882396564 +161 265 2 891171597 +342 732 3 875319786 +222 729 4 878184315 +340 88 5 884991584 +360 405 3 880354347 +344 137 5 884814668 +450 12 4 882373231 +416 82 5 893213444 +360 174 3 880356240 +407 316 4 887833034 +248 196 2 884535013 +450 774 4 882399818 +363 742 2 891497076 +493 879 4 884129823 +314 411 4 877892461 +433 194 5 880585759 +404 258 4 883790181 +327 1170 4 887819860 +430 288 4 877225239 +77 56 4 884752900 +294 476 3 877819792 +15 927 4 879456381 +438 121 5 879868328 +200 177 4 884129656 +479 55 4 879461207 +167 225 3 892737995 +295 230 4 879517271 +43 408 5 875975492 +450 383 2 882468790 +180 380 5 877127796 +415 180 5 879439791 +295 158 4 879518932 +66 741 4 883601664 +383 504 4 891193108 +346 951 2 874950463 +495 478 4 888632443 +392 170 5 891039015 +446 311 2 879787858 +214 318 4 892668249 +334 28 3 891546373 +416 531 5 893212572 +424 243 4 880859115 +366 445 5 888857932 +226 408 5 883888853 +425 7 3 878738290 +170 326 5 886623057 +469 136 4 879524062 +449 171 4 880410599 +487 218 2 883531507 +26 304 4 891348011 +11 317 4 891904174 +324 275 4 880575531 +92 71 5 875654888 +92 12 5 875652934 +244 660 4 880603881 +280 1035 4 891701785 +305 1015 1 886323068 +458 13 4 886394916 +453 233 2 888206003 +437 133 5 880140122 +1 30 3 878542515 +429 291 4 882386309 +426 510 4 879441978 +450 488 4 882371415 +345 28 3 884916441 +7 628 3 891352831 +494 183 5 879541158 +394 50 5 881132876 +18 486 3 880131559 +343 528 3 876405004 +334 50 5 891544867 +423 690 4 891394832 +465 496 3 883531246 +474 265 5 887924425 +489 321 3 891447845 +495 658 3 888635380 +500 1012 4 883865021 +305 153 3 886323153 +15 255 5 879455764 +504 163 4 887840517 +177 55 3 880131143 +288 345 5 886372155 +184 443 3 889911552 +193 402 3 889126375 +21 675 5 874951897 +493 423 2 884131020 +4 328 3 892001537 +222 73 4 878181976 +500 159 2 883876251 +174 1035 4 886515532 +94 569 1 891722980 +368 201 5 889783407 +484 343 2 883402932 +272 23 5 879454725 +453 97 3 877554743 +123 100 4 879872792 +293 933 2 888905399 +416 339 5 893214225 +85 170 4 879453748 +429 1079 2 882387164 +5 25 3 875635318 +261 301 4 890454246 +270 722 4 876955689 +398 63 2 875732862 +399 157 3 882342019 +378 792 4 880046475 +85 100 3 879452693 +336 762 5 877756890 +329 284 3 891656072 +456 431 4 881374437 +275 196 3 880314969 +495 413 5 888636032 +268 541 3 875744357 +378 380 3 880333695 +1 63 2 878543196 +301 29 4 882078492 +462 678 3 886365335 +481 66 3 885828203 +431 754 3 881127436 +435 943 3 884131712 +406 514 1 879445562 +347 235 2 881653224 +323 186 4 878739988 +95 449 3 879196665 +500 665 3 883876714 +130 248 3 874953769 +450 145 3 887661438 +426 525 4 879442227 +221 218 4 875246308 +503 69 4 880383679 +143 313 5 888407586 +125 216 3 879454419 +435 40 3 884133544 +472 685 3 875978740 +5 442 1 879198898 +8 233 4 879362423 +18 61 4 880130803 +440 751 3 891549397 +215 191 4 891435460 +16 941 1 877720437 +48 1064 4 879434688 +294 363 1 889243393 +231 255 3 879965760 +355 264 4 879485760 +64 310 4 889737047 +498 191 4 881957054 +311 215 4 884364999 +151 185 4 879528801 +125 369 3 892838777 +280 217 3 891701832 +40 286 2 889041430 +454 519 2 888267455 +399 318 5 882342589 +222 228 5 878181869 +194 625 3 879527145 +119 689 4 886175431 +331 124 4 877196174 +339 100 5 891032286 +102 168 3 888803537 +405 1547 2 885546288 +174 451 5 886513752 +396 300 3 884645550 +416 21 3 876697415 +251 472 3 886272585 +417 201 4 879648478 +405 207 1 885549543 +498 192 5 881957546 +167 726 1 892738385 +336 796 3 877758035 +478 276 5 889388862 +436 739 4 887771853 +450 401 3 882397224 +70 214 3 884067842 +361 333 2 879441490 +435 11 5 884131542 +372 1273 4 876869957 +405 1400 1 885545975 +207 298 3 875509150 +178 790 3 882827870 +7 98 4 891351002 +346 50 5 874947609 +119 762 4 874775465 +474 553 2 887927339 +5 186 5 875636375 +268 738 2 875744021 +234 1121 5 892334481 +299 190 5 877881356 +10 694 5 877892437 +94 722 2 891723494 +201 82 4 884114471 +85 28 4 879829301 +478 866 1 889388273 +268 164 2 875744556 +82 9 4 876311146 +339 702 4 891035850 +409 749 3 881105367 +347 164 3 881654752 +179 690 1 892151489 +479 286 1 879533972 +435 215 2 884131576 +456 498 4 881373473 +128 499 5 879967767 +94 475 5 885870362 +483 181 4 878950971 +405 557 1 885549650 +130 892 3 884623832 +425 252 2 878739054 +314 697 3 877888996 +483 900 3 885170586 +393 685 3 887744517 +268 229 2 875310784 +227 137 5 879035289 +282 262 4 879949417 +369 243 3 889428228 +303 53 3 879485608 +429 195 4 882385519 +269 239 2 891448386 +463 306 4 877384836 +450 301 4 882216475 +499 312 4 882995923 +505 193 3 889334477 +350 172 5 882345823 +437 484 4 880140051 +345 702 4 884993418 +387 98 4 886480244 +470 544 3 879178830 +246 238 5 884921429 +466 172 4 890284706 +409 9 4 881107992 +489 1238 4 891445352 +371 265 5 880435544 +283 202 5 879298206 +417 184 4 879647749 +62 655 3 879375453 +233 261 5 883356913 +141 7 5 884584981 +426 605 4 879442083 +463 274 3 877385664 +497 31 3 879361802 +102 409 2 892993855 +256 31 5 882164867 +437 216 5 880141041 +263 174 5 891299697 +315 428 4 879821120 +13 686 5 882397146 +234 5 3 892334338 +279 283 3 875296652 +177 358 2 882141918 +14 319 1 884482684 +110 401 3 886989399 +144 435 4 888105387 +405 76 3 885545606 +284 900 4 885328991 +500 836 5 883874290 +177 223 4 880130758 +13 417 2 882398934 +105 748 2 889214406 +399 1035 3 882352065 +487 43 3 884042206 +416 83 5 893213444 +354 509 5 891218249 +145 939 4 875272050 +450 468 4 882376803 +454 482 3 881960230 +446 288 2 879786838 +234 1168 2 892335108 +234 855 3 892079803 +421 516 5 892241554 +193 562 3 889126055 +416 633 4 876699757 +210 56 5 887730264 +307 401 1 879114143 +457 455 4 882393384 +160 1012 5 876769689 +417 764 3 879646677 +48 519 3 879434689 +466 566 3 890284819 +497 540 2 879311007 +426 318 5 879442044 +65 255 3 879217406 +301 118 4 882074903 +126 346 3 887853735 +166 294 3 886397596 +3 260 4 889237455 +313 77 3 891031950 +145 276 1 882182634 +399 1137 4 882340556 +387 293 4 886481002 +352 172 5 884289759 +417 792 4 879648079 +499 347 4 885597932 +463 988 2 877384836 +294 752 3 889241377 +453 578 3 888205764 +264 184 5 886122447 +506 470 4 874873423 +170 984 5 884103918 +322 156 4 887313850 +144 326 4 888103530 +450 157 3 882394180 +379 704 3 880524835 +456 12 3 881373655 +157 290 4 886890787 +493 886 2 884129868 +210 180 4 887735872 +32 240 2 883717967 +422 222 4 875130137 +459 295 3 879563367 +417 475 4 879646437 +279 181 3 875298494 +4 258 5 892001374 +65 651 4 879216371 +416 142 4 886319340 +436 96 4 887769535 +92 92 4 875654846 +495 797 4 888635524 +303 458 3 879467936 +303 381 4 879467574 +394 229 3 881132958 +493 11 3 884130852 +59 3 4 888203814 +49 82 1 888067765 +85 641 4 879454952 +482 289 3 887644023 +405 649 1 885546445 +87 22 4 879875817 +128 71 4 879967576 +14 921 5 890881384 +6 293 3 883599327 +221 386 3 875246662 +495 127 4 888634955 +294 307 3 889241466 +450 771 3 887835478 +456 1478 4 881374993 +342 223 4 875318907 +386 222 4 877654961 +373 156 2 877098374 +405 239 3 885546112 +181 983 2 878963038 +365 1420 2 891303454 +399 1246 1 882511876 +244 780 4 880602843 +216 412 2 880233197 +416 739 5 893212896 +331 214 3 877196702 +279 470 3 878262194 +437 229 3 880142942 +110 226 3 886988536 +90 1097 4 891384885 +496 183 2 876065259 +474 79 5 887924027 +110 56 1 886988449 +178 281 3 882824028 +409 264 1 881105366 +405 1346 1 885549790 +267 1090 3 878973854 +235 303 4 889654483 +399 651 3 882509971 +405 812 1 885548877 +455 2 4 879111786 +70 483 5 884064444 +500 1047 3 883865985 +452 498 4 875264976 +472 380 5 875982511 +488 33 2 891294976 +414 300 4 884999066 +11 405 3 891904016 +327 85 2 887819507 +327 1103 4 887819614 +354 1065 3 891217512 +405 791 1 885547605 +292 1142 4 881104481 +459 3 2 879563288 +270 531 4 876954945 +210 195 4 887736429 +453 11 5 877554174 +118 7 5 875385198 +301 665 2 882079334 +90 485 5 891383687 +457 640 4 882548467 +83 204 5 880307922 +394 208 5 880888746 +5 432 4 875636793 +500 294 3 883864578 +295 43 4 879518107 +145 486 3 882181659 +506 1046 4 874874396 +30 2 3 875061066 +103 204 3 880423118 +308 499 3 887738619 +455 465 3 879112678 +495 140 5 888635419 +317 322 3 891446783 +387 217 3 886481687 +128 222 3 879967249 +405 761 1 885548049 +16 4 5 877726390 +452 96 2 875275699 +216 313 5 883981737 +472 27 4 875980283 +497 242 1 878759351 +282 890 4 879949468 +233 640 2 875508639 +303 847 4 879466830 +62 875 4 879371909 +452 483 5 875263244 +128 197 4 879966729 +381 517 4 892696557 +319 306 4 879975504 +387 222 4 886481073 +474 610 3 887924571 +174 12 5 886439091 +463 1383 2 890530703 +448 303 4 891887161 +214 479 4 891544052 +185 1020 4 883524172 +416 77 4 893142480 +488 198 4 891375822 +200 226 4 884130085 +504 546 4 887831947 +456 1019 4 881372849 +227 324 4 879035963 +417 419 4 879646986 +158 89 5 880133189 +328 1313 4 888641949 +390 277 2 879694123 +457 742 4 882393306 +458 209 4 886397155 +444 678 3 891979403 +293 1208 3 888906990 +269 157 3 891448092 +488 405 3 891294014 +175 147 3 877108146 +4 210 3 892003374 +198 300 2 884204427 +416 317 5 893213444 +7 199 5 892135346 +355 360 4 879486422 +49 627 2 888067096 +505 140 4 889334129 +409 12 4 881107056 +387 547 4 886484561 +435 659 4 884131515 +291 469 5 874867912 +430 1347 5 877226047 +429 570 4 882387434 +18 951 3 880129595 +409 60 5 881108715 +22 862 1 878886845 +448 884 4 891889281 +443 271 4 883504682 +454 196 2 881959778 +357 105 4 878952342 +308 88 4 887740568 +474 646 4 887925395 +271 137 4 885847636 +11 692 4 891905003 +493 96 4 884130793 +429 280 2 882387392 +435 174 5 884131627 +448 896 5 891887216 +291 1478 2 874871585 +399 1231 3 882350487 +1 249 4 874965970 +487 232 4 883530764 +361 1103 4 879440386 +365 995 4 891303694 +7 229 3 891352384 +168 275 3 884287822 +37 174 5 880915810 +328 688 1 886036585 +409 210 4 881109175 +339 483 5 891032121 +404 331 3 883790249 +381 995 4 892698031 +128 652 3 879966603 +44 380 4 883613334 +94 1014 4 891724256 +337 471 5 875235809 +346 944 3 874951714 +90 661 5 891385522 +290 483 5 880473845 +181 924 3 878963168 +437 473 5 881001888 +407 218 4 876338946 +469 641 4 879524241 +92 54 3 875656624 +474 506 5 887924084 +94 179 5 885870577 +224 470 4 888082742 +497 575 3 879362985 +297 302 4 875408934 +59 615 4 888204553 +152 69 5 882474000 +85 1173 4 884820209 +429 1010 3 882386216 +264 288 5 886121631 +407 227 2 875045190 +419 257 4 879435503 +63 108 2 875748164 +397 483 5 885349715 +159 243 4 880485529 +499 181 3 885598827 +113 7 3 875076827 +100 678 3 891375428 +197 586 3 891410170 +308 237 3 887737383 +313 420 5 891014782 +499 514 5 885599334 +453 117 4 877552540 +474 508 3 887915437 +451 303 2 879012648 +381 1018 4 892697031 +318 1044 4 884496985 +505 989 1 888631438 +159 333 5 893255761 +151 70 4 879524947 +470 268 2 879178216 +354 660 3 891218155 +448 268 3 891888367 +363 11 5 891494587 +352 50 5 884289693 +345 111 4 884991244 +454 707 3 881959576 +468 498 5 875291571 +81 726 4 876534505 +495 230 5 888632969 +270 356 3 876956064 +378 684 3 880332643 +468 4 5 875296868 +456 660 5 881374522 +59 55 5 888204553 +385 145 1 879449745 +381 20 5 892696426 +474 322 4 888627937 +305 631 3 886324028 +66 127 4 883601156 +381 318 5 892696654 +397 615 5 885349562 +234 746 2 892335213 +186 934 3 879023968 +405 191 4 885545235 +405 67 5 885547360 +7 23 3 891351383 +339 150 4 891033282 +138 182 4 879023948 +357 147 5 878951457 +476 765 4 883365442 +58 185 2 884304896 +233 192 5 875508485 +398 953 3 875658968 +424 289 5 880858924 +429 549 4 882385749 +181 1002 1 878963122 +374 70 4 880396622 +487 237 4 883441813 +56 200 4 892679088 +457 118 4 882395400 +6 503 3 883602133 +151 181 5 879524394 +452 216 3 888568700 +320 2 4 884749281 +230 240 1 880484320 +379 93 3 885063369 +25 655 4 885852248 +93 866 2 888705780 +26 1014 3 891384414 +145 1291 3 888398563 +42 54 4 881108982 +177 50 5 880131216 +253 1016 3 891628094 +271 443 3 885848943 +311 121 4 884366852 +383 357 5 891193137 +425 302 5 878737511 +442 569 2 883390140 +262 235 2 879790783 +447 135 5 878855989 +234 1269 3 892078297 +218 168 4 877488316 +411 22 4 891035239 +431 307 3 879038461 +239 181 3 889180411 +457 127 5 882396902 +454 323 2 881958783 +456 177 4 881373900 +249 12 5 879572472 +7 583 2 892132380 +478 354 3 889397221 +407 405 3 876348318 +378 223 4 880045651 +464 194 5 878355259 +181 477 1 878962465 +286 924 4 876521773 +118 223 5 875385386 +144 281 3 888104191 +114 156 4 881309662 +498 127 4 881954219 +416 14 4 876697017 +484 228 5 891195349 +422 324 5 875129523 +497 627 3 879310021 +379 568 5 880525566 +479 88 4 879462041 +373 401 4 877106711 +505 591 4 889333676 +342 301 5 874984045 +268 597 2 875743310 +158 684 3 880134332 +250 333 4 883263374 +429 504 3 882385065 +130 246 4 874953698 +189 204 5 893265657 +404 1238 3 883790181 +458 792 4 886398025 +393 321 3 887742179 +466 232 4 890284903 +504 66 4 887839165 +117 763 5 881009890 +387 746 1 886479737 +283 168 5 879298206 +16 770 3 877724979 +406 921 4 879793235 +303 117 3 879468581 +296 125 5 884196985 +378 157 3 880056104 +194 481 3 879524291 +299 300 4 877618619 +301 403 4 882076292 +463 1164 1 877385797 +450 650 4 882376446 +235 512 5 889656044 +486 690 2 879873973 +399 496 3 882349868 +18 430 4 880130155 +488 58 3 891376081 +212 268 5 879303468 +21 669 1 874951761 +506 479 4 874873571 +341 1025 5 890757961 +405 726 1 885547690 +401 483 4 891033121 +457 664 4 882549601 +344 696 3 884900567 +500 244 3 886358931 +487 140 3 883531085 +90 70 5 891383866 +385 604 4 879442189 +450 288 3 884097913 +365 269 4 891303357 +417 1139 3 879649448 +130 765 4 876252420 +484 463 4 882807416 +339 357 5 891032189 +7 175 5 892133057 +392 346 4 891037437 +102 652 2 892992129 +149 286 5 883512591 +52 121 4 882922382 +470 919 3 879178370 +43 1035 4 883955745 +497 780 2 879363181 +437 276 5 880141618 +459 1047 3 879563668 +234 156 2 892078936 +291 367 4 874871800 +13 855 4 882140130 +379 1022 3 892879380 +177 153 4 880130972 +269 778 3 891448547 +497 260 4 878759529 +415 641 3 879439960 +405 2 1 885547953 +325 271 3 891477759 +360 124 5 880354215 +268 4 4 875309829 +201 1193 4 884111873 +239 185 4 889178688 +345 143 5 884992940 +145 236 1 888397981 +141 974 4 884585300 +497 943 4 879362019 +253 494 5 891628341 +262 421 4 879792331 +374 289 1 880392482 +22 105 1 878887347 +506 410 2 882100955 +338 607 4 879438225 +125 451 4 892838288 +311 176 4 884365104 +435 135 3 884131771 +458 346 4 889323539 +465 525 3 883531111 +59 357 5 888204349 +480 172 3 891208492 +123 462 4 879872540 +468 116 4 875280180 +214 223 3 891544200 +437 88 3 880143140 +425 515 3 890347138 +174 364 1 886515240 +505 99 4 889333313 +451 749 3 879012773 +507 343 5 889964074 +98 514 5 880498898 +1 269 5 877482427 +416 1336 1 878879350 +385 429 4 879442028 +271 179 4 885848616 +271 393 4 885849648 +390 275 5 879694123 +406 461 3 879446269 +327 154 4 887747337 +293 7 3 888905062 +468 469 4 875296309 +417 483 5 879647355 +358 511 2 891271035 +416 1400 4 886317029 +313 94 3 891030490 +343 521 5 876408138 +49 382 2 888066705 +450 95 3 882395167 +254 542 3 886475034 +402 124 4 876266926 +151 230 3 879528647 +499 238 2 885599498 +254 196 4 886472400 +417 728 3 879648881 +463 282 3 877385664 +450 1 4 887835272 +87 871 4 879876734 +316 923 5 880854022 +336 4 4 877757790 +60 357 4 883326273 +279 128 5 875296461 +18 402 3 880132225 +378 806 4 880045760 +417 778 4 879648742 +239 474 5 889179095 +417 1000 4 879648403 +94 192 4 891721142 +417 1207 3 880952970 +308 157 5 887738268 +279 1435 3 892174339 +267 385 3 878972873 +429 625 3 882387474 +497 252 3 879310650 +477 781 4 875941191 +423 347 3 891394632 +85 1010 2 879452971 +221 298 4 875244331 +203 100 1 880434411 +455 504 4 879110573 +276 354 4 888873388 +250 527 4 878091735 +236 591 4 890117029 +104 257 4 888465582 +44 100 5 878341196 +183 55 4 891466266 +8 518 4 879362422 +32 475 5 883717766 +291 823 3 874833936 +128 268 3 879966355 +447 258 5 878853977 +5 194 4 878845197 +399 452 3 882350762 +405 554 1 885548049 +372 262 4 876869066 +381 566 2 892696512 +334 1170 4 891548729 +250 313 5 883262672 +230 98 5 880484391 +318 161 3 884496738 +313 118 4 891028197 +279 99 3 890451347 +18 165 4 880129527 +468 411 3 875284879 +308 641 4 887736459 +326 8 4 879875457 +256 106 4 882153724 +385 1159 4 885245956 +389 519 4 879991461 +450 154 3 882377590 +2 283 5 888552084 +497 508 3 878759705 +298 294 3 884184024 +389 132 5 880087544 +504 179 1 887839165 +391 318 4 877399030 +504 807 4 887839081 +417 561 3 879648707 +130 235 4 874953728 +463 127 5 890530105 +268 128 3 875744199 +299 1506 4 878192680 +6 465 1 883683508 +378 7 4 880044697 +130 411 5 876251217 +276 1301 4 885871474 +488 154 3 891293974 +88 311 5 891037336 +207 276 2 875504835 +92 674 4 875906853 +490 993 1 875427739 +5 229 2 875635947 +486 287 4 879875279 +456 484 4 881373983 +327 70 4 887819316 +497 657 3 879361847 +330 63 3 876547165 +80 154 3 887401307 +64 475 5 889738993 +389 467 3 879991512 +399 1184 3 882344638 +120 258 5 889490124 +181 105 1 878963304 +95 168 4 879197970 +262 210 3 879792962 +95 28 4 879197603 +217 29 2 889070011 +421 7 3 892241646 +334 591 4 891544810 +1 32 5 888732909 +452 207 4 875261261 +298 58 4 884182725 +388 301 4 886438602 +191 300 4 891560842 +514 96 5 875311192 +399 188 4 882344310 +378 210 4 880057137 +56 550 4 892910860 +280 220 5 891700426 +184 381 4 889909962 +99 315 4 885678479 +505 713 3 889334217 +221 7 4 875244204 +377 338 3 891297293 +287 237 5 875334151 +297 430 1 875238778 +426 613 3 879444146 +330 98 5 876546033 +392 813 3 891039015 +276 415 3 874793062 +94 111 4 891721414 +425 751 2 890346264 +394 101 4 880886670 +94 528 5 885870323 +251 33 3 886271675 +234 180 3 892079910 +383 100 4 891193016 +83 832 3 883868300 +41 202 2 890687326 +334 428 4 891547955 +378 385 4 880056761 +142 333 5 888639968 +95 491 4 879197783 +169 495 3 891359276 +416 93 4 876697105 +457 219 4 882550304 +336 1041 2 877757837 +363 68 2 891495809 +271 523 4 885848770 +425 877 3 890346198 +312 632 3 891698764 +330 99 4 876546172 +493 925 3 884130668 +493 156 1 884130995 +472 71 2 875981281 +314 423 4 877888060 +490 257 3 875428570 +276 823 3 874786807 +429 211 5 882385090 +468 23 4 875287535 +23 961 5 874785165 +66 405 3 883601990 +61 327 2 891206407 +49 159 2 888068245 +503 659 5 880472148 +417 1232 2 879649369 +234 1051 2 892336322 +503 900 5 892667389 +393 1468 4 887746091 +74 351 3 888333352 +105 690 3 889214306 +232 117 3 891565128 +286 703 2 889651672 +145 156 5 875271896 +503 194 4 880472591 +303 11 4 879467260 +355 271 3 879486422 +292 523 4 881105561 +236 496 3 890116499 +264 1355 4 886124417 +59 483 5 888204309 +474 293 4 887915269 +452 588 3 885804123 +22 431 4 878888026 +416 257 3 876697205 +63 333 4 875746917 +271 98 5 885848559 +508 238 4 883767343 +2 276 4 888551552 +102 245 3 883748222 +435 376 2 884134019 +301 181 5 882074291 +76 1157 1 882607018 +436 504 4 887769151 +503 164 3 880472507 +511 346 4 890004686 +450 1020 4 882376365 +90 89 5 891385039 +338 513 5 879438225 +504 72 4 887840134 +514 15 4 875309350 +6 461 4 883601393 +498 54 2 881961745 +246 441 3 884922538 +371 423 5 880435071 +157 100 5 886890650 +216 280 2 880233043 +315 173 4 879821003 +457 57 4 882397177 +498 187 4 881955960 +207 483 5 875774491 +77 268 5 884733857 +90 300 3 891382163 +104 258 3 888442249 +23 588 4 884550021 +455 70 3 879111194 +60 494 4 883326399 +401 404 2 891033395 +224 284 3 888104117 +493 411 1 884132934 +399 97 4 882343204 +222 186 5 878184195 +153 50 1 881371140 +489 310 4 891449022 +504 678 4 887831115 +486 994 3 879874811 +233 47 5 877661881 +450 712 3 882470642 +96 194 2 884403392 +488 474 2 891294439 +417 774 4 879648707 +413 302 2 879968794 +244 215 4 880603242 +337 127 3 875184682 +497 274 3 879309760 +483 462 3 884047754 +70 24 4 884064743 +417 1041 3 879648478 +253 12 5 891628159 +87 866 4 879877208 +450 227 3 882398313 +404 739 4 883790851 +506 281 3 880198144 +504 1263 4 887909532 +191 891 3 891560481 +477 709 5 875941763 +459 827 3 879563758 +267 732 4 878973650 +396 100 2 884646092 +201 751 3 884110766 +416 196 5 893214128 +425 156 5 878737873 +450 923 5 886612198 +312 493 5 891698365 +316 185 2 880853548 +201 455 3 884112487 +405 732 5 885545456 +200 984 3 884125996 +405 1439 1 885546724 +42 756 5 881106420 +85 205 4 879454004 +165 270 4 879525672 +484 560 4 891195886 +372 129 4 876869667 +360 328 3 880354094 +109 425 2 880582317 +347 432 4 881653973 +445 209 4 891200869 +167 318 5 892738307 +437 69 2 880140501 +254 435 3 886472089 +467 257 4 879532512 +307 56 4 878856967 +83 69 4 887665549 +279 132 3 875308670 +262 451 4 879794446 +480 615 4 891208185 +330 94 4 876547426 +325 434 5 891478376 +457 66 4 882547694 +330 28 5 876546526 +251 1016 3 886272197 +385 186 1 879445260 +311 562 3 884365746 +234 887 3 891034078 +266 25 3 892257940 +411 227 3 891035362 +472 758 1 875979359 +416 515 5 893214041 +425 32 3 890347138 +393 929 3 887745230 +83 233 4 887665549 +38 588 5 892429225 +92 409 3 890251791 +256 785 4 882165296 +435 86 4 884131844 +504 581 4 887910623 +83 15 4 880307000 +321 48 4 879439706 +11 508 4 891903005 +435 5 2 884133046 +472 568 5 892790676 +263 202 4 891299031 +214 64 5 892668130 +269 48 5 891455816 +438 181 4 879868005 +7 187 4 891350757 +281 304 5 881200745 +303 603 5 879466457 +506 229 4 874874895 +276 526 4 874791123 +486 882 2 879874018 +416 692 5 893212484 +402 182 5 876266775 +222 1016 3 877563530 +223 974 2 891550504 +62 50 5 879372216 +76 318 3 882606166 +413 236 4 879969557 +342 26 2 875320037 +385 1103 3 887269178 +194 562 2 879524007 +53 64 5 879442384 +415 754 4 879439311 +361 514 5 879440345 +237 408 5 879376434 +293 684 3 888905481 +404 348 3 883790400 +58 1101 5 890421373 +301 132 4 882076619 +208 194 5 883108360 +324 294 5 880575002 +11 79 4 891905783 +363 79 2 891494835 +109 79 5 880572721 +488 180 2 891294439 +276 192 5 874787353 +489 881 2 891447586 +210 517 4 887730342 +499 482 2 885599182 +177 92 4 882142295 +119 332 4 886175313 +428 331 4 885943847 +13 796 3 886304188 +311 783 3 884366439 +399 431 2 882344906 +469 153 4 879523891 +234 735 3 892079803 +436 642 4 887769079 +230 25 3 880485282 +438 118 4 879868529 +468 249 3 875280310 +383 654 5 891193016 +320 71 3 884751439 +76 7 4 875312133 +385 1160 2 879440211 +500 971 5 883876093 +270 90 5 876955770 +307 185 3 877118565 +121 165 4 891388210 +346 1135 4 874950993 +354 202 3 891307157 +425 68 4 878738386 +321 64 3 879438607 +384 316 5 891274055 +503 127 5 879438161 +13 827 3 882398327 +264 19 5 886122952 +249 588 3 879572256 +314 588 5 877888007 +406 923 3 879446108 +174 715 3 886514397 +193 82 2 889125880 +308 276 4 887736998 +479 1013 1 879460453 +191 900 4 891560481 +455 279 3 882141582 +506 494 5 878044851 +280 769 3 891702441 +210 568 4 887735960 +474 744 3 887916260 +94 187 4 885870362 +405 395 3 885547506 +213 143 5 878955766 +497 382 4 878759745 +500 469 4 883874813 +346 300 5 874947380 +214 127 4 891542986 +375 288 4 886621795 +381 961 3 892696616 +332 931 2 888360532 +64 82 3 889740199 +38 127 2 892429460 +389 127 5 879915701 +423 751 3 891394832 +391 774 2 877399541 +110 895 2 886987354 +215 271 4 891434733 +336 575 3 877757373 +454 404 3 888267590 +11 222 3 891902718 +18 91 3 880130393 +379 631 5 880961600 +343 614 5 876404689 +271 371 5 885849188 +91 132 3 891439503 +406 172 5 879792811 +506 465 4 874874630 +505 245 4 888631349 +190 471 5 891033632 +149 302 4 883512623 +446 888 1 879787859 +363 651 3 891495682 +442 42 4 883388401 +194 423 3 879548121 +405 560 1 885549045 +184 945 4 889909721 +113 424 1 875076357 +215 313 5 891436543 +468 13 4 875280104 +60 735 5 883327711 +437 747 4 880143167 +271 77 4 885849231 +60 435 4 883326122 +378 732 4 880056034 +417 1446 3 879648824 +274 866 4 878946107 +393 154 2 887746302 +450 1222 3 887834953 +331 1194 3 877196444 +461 269 3 885355705 +178 38 3 882827574 +169 684 5 891359354 +336 1437 2 877756890 +70 8 4 884064986 +34 324 5 888602808 +506 560 3 874874458 +151 1203 5 879542670 +194 736 2 879548122 +145 363 4 875271607 +352 129 5 884290428 +515 344 2 887660131 +275 71 3 875154535 +454 234 3 888267087 +31 268 3 881547746 +450 1152 5 882812558 +361 639 4 879440652 +487 255 2 883441890 +31 32 5 881548030 +409 153 4 881168603 +396 25 3 884646191 +447 748 1 878854056 +478 188 4 889396582 +293 588 3 888906748 +297 154 5 875239658 +469 605 4 879524302 +378 68 2 880333446 +395 231 4 883764456 +343 42 4 876404647 +301 739 2 882076966 +301 521 3 882076987 +406 175 5 879792811 +470 950 3 879178645 +326 435 3 879874897 +363 293 4 891499329 +130 692 5 875801422 +493 210 5 884131620 +59 770 4 888205534 +445 479 3 890988206 +496 318 4 876065693 +182 111 4 885613238 +64 511 4 889739779 +425 675 3 890347047 +276 343 4 881563147 +244 732 1 880604148 +227 1028 2 879035803 +305 971 4 886324608 +337 520 5 875236281 +466 546 4 890285159 +321 153 4 879440746 +387 277 4 886481033 +236 225 3 890117465 +10 606 5 877888876 +268 226 4 875310784 +416 750 5 893214128 +303 28 3 879466717 +429 673 3 882386485 +59 210 4 888204309 +186 1399 2 891718530 +393 717 3 887745086 +474 1009 4 887915722 +416 682 3 877902163 +308 1411 4 887741150 +451 1393 2 879012812 +470 546 4 879178950 +406 632 4 879446168 +145 767 2 879161882 +417 293 4 879646123 +486 257 3 879875315 +162 144 3 877636746 +450 101 5 882399359 +417 679 2 879649044 +179 307 3 892151565 +116 304 2 876453376 +342 423 4 875319436 +385 175 4 879441572 +43 97 5 883955293 +422 682 2 879743787 +314 996 4 877891354 +5 183 4 875636014 +487 710 4 883445721 +474 117 4 887915306 +102 210 3 888801522 +370 607 5 879435168 +346 746 3 874949116 +450 395 3 882470642 +145 1028 5 875271607 +58 310 4 884459024 +478 658 3 889395977 +437 124 5 880140101 +66 248 4 883601426 +389 167 3 880089170 +13 679 4 882397650 +113 948 3 875935312 +23 530 4 874789279 +450 1050 4 882812349 +136 137 5 882693339 +450 94 4 882468239 +468 258 4 875279126 +392 249 1 891038224 +387 161 1 886483252 +459 411 2 879563796 +489 457 3 891449254 +361 170 5 879440605 +498 474 4 881957905 +479 640 4 879462168 +512 265 4 888580143 +382 150 2 875946055 +235 83 4 889656068 +405 98 4 885544798 +206 748 4 888179833 +488 468 5 891295023 +347 240 5 881653300 +406 135 5 879445684 +330 451 5 876547813 +388 682 4 886439808 +276 62 2 874792574 +209 286 2 883417458 +59 675 5 888205534 +210 327 4 887735288 +293 25 3 888904696 +20 94 2 879669954 +66 508 4 883601387 +269 582 4 891447234 +62 512 4 879374894 +401 535 2 891032518 +290 496 4 880474156 +416 790 4 886318270 +45 820 4 881015860 +90 639 5 891385039 +239 512 5 889180921 +347 158 3 881654773 +450 272 5 886449009 +296 259 1 884196374 +230 951 5 880485181 +356 347 4 891405619 +389 90 3 880088659 +279 401 5 875310730 +275 62 3 876198328 +474 707 5 887925751 +5 440 1 878844423 +82 284 4 876311387 +451 270 4 879012684 +515 362 4 887658844 +327 328 2 887743600 +1 141 3 878542608 +18 519 4 880129991 +500 116 4 883865232 +293 250 3 888904862 +407 502 2 876338883 +196 340 3 881251045 +69 42 5 882145548 +296 663 5 884198772 +249 546 3 879640436 +339 410 2 891034953 +298 430 5 884182657 +223 930 2 891550326 +295 161 4 879518430 +170 323 3 884293671 +398 88 4 875733660 +360 483 5 880355527 +513 117 5 885062519 +385 425 3 879445724 +291 655 4 874868629 +233 14 4 876021262 +84 1 2 883452108 +374 252 3 880394179 +497 570 3 879362511 +178 24 3 882824221 +198 222 3 884204993 +119 56 4 874781198 +109 568 5 880578186 +244 521 4 880606385 +435 792 4 884131404 +487 12 5 883445580 +475 286 2 891451276 +256 79 5 882164406 +203 815 4 880434882 +406 148 3 879540276 +200 28 5 884128458 +308 19 3 887737383 +413 284 4 879969709 +224 313 5 888081843 +391 61 5 877399746 +249 423 4 879572167 +160 273 5 876767660 +327 475 4 887744405 +416 81 5 893213405 +504 370 3 887832268 +456 1267 4 881373756 +5 29 4 875637023 +450 629 4 882397940 +176 952 2 886048230 +350 185 5 882347531 +454 258 4 881958402 +73 32 4 888626220 +456 57 4 881374521 +177 268 3 880130452 +506 385 4 874873944 +344 291 3 884899791 +500 58 3 883873720 +24 180 5 875322847 +95 708 2 880571951 +497 188 3 879310762 +13 529 4 882140206 +271 127 5 885848863 +458 12 5 886395758 +456 423 3 881374586 +360 515 4 880354315 +339 678 2 891036781 +109 181 5 880563471 +18 284 3 880131804 +400 749 4 885676452 +478 48 4 889388587 +311 444 2 884365746 +262 1095 2 879791537 +313 428 3 891014649 +417 70 4 879647749 +94 763 3 891722006 +442 350 2 883387916 +346 636 3 874950794 +43 231 4 883955995 +45 756 2 881015244 +234 591 3 892335142 +43 196 4 875981190 +327 190 4 887832180 +78 257 4 879633721 +436 168 3 887769050 +105 264 2 889214491 +416 241 5 893213796 +463 249 2 889936035 +42 43 2 881109325 +523 114 5 883701800 +156 651 4 888185906 +378 501 4 880055454 +194 356 2 879524892 +157 934 2 886890878 +403 274 3 879786661 +267 164 3 878972342 +154 288 3 879138235 +429 124 4 882384821 +97 132 5 884238693 +500 237 3 883865483 +57 11 3 883698454 +308 231 3 887740410 +291 33 4 874834850 +417 708 2 879648798 +246 567 5 884923348 +447 151 3 878854520 +488 292 3 891292651 +295 60 5 879517492 +339 127 5 891032349 +415 479 4 879439610 +250 988 4 878089182 +417 56 5 879647519 +198 1 4 884205081 +430 293 3 877225865 +505 748 1 888631208 +512 23 4 888580248 +90 136 5 891383241 +144 1065 4 888105714 +48 294 3 879434212 +312 521 5 891698987 +276 691 4 888873488 +293 462 4 888905819 +435 153 3 884131243 +435 62 3 884133657 +280 507 3 891700682 +321 480 4 879440109 +445 844 2 891200138 +379 649 4 880525084 +387 1134 1 886481183 +222 521 5 878184866 +95 70 4 880571951 +457 229 4 882392853 +447 231 2 878856394 +493 652 5 884131287 +151 716 2 879528778 +398 94 2 875732304 +7 547 3 891353710 +474 172 5 887923789 +114 655 3 881260506 +253 202 5 891628392 +504 1437 2 887911545 +515 313 4 887658604 +518 124 3 876823071 +102 548 2 885126313 +497 258 4 878759351 +325 186 4 891478578 +158 39 5 880134398 +68 458 1 876974048 +309 319 4 877370419 +504 414 5 887838450 +425 583 3 878738245 +495 379 5 888636870 +405 374 1 885549094 +380 665 2 885480870 +387 147 2 886481073 +207 458 3 875991160 +110 215 3 886987894 +343 530 5 876405633 +116 511 4 876453519 +415 195 5 879439685 +85 194 4 879454189 +508 195 3 883767565 +477 15 4 875941863 +360 326 3 880354094 +268 324 4 876513708 +280 725 3 891702387 +407 519 4 875042466 +475 100 5 891452276 +102 231 2 888802319 +339 161 3 891034626 +95 463 5 880573287 +438 286 2 879867960 +417 20 2 880949408 +94 268 4 891724925 +23 100 5 874784557 +313 258 3 891012852 +406 276 4 879539824 +92 218 4 875654846 +495 56 5 888632574 +313 663 5 891013652 +113 124 3 875076307 +86 270 5 879570974 +416 331 4 890021365 +13 884 2 882140814 +392 134 5 891038371 +363 117 5 891495742 +249 741 4 879572402 +498 522 3 881956499 +303 258 4 879465986 +437 211 4 880140100 +118 79 5 875384885 +234 16 2 891227771 +334 642 5 891548436 +346 38 3 874950993 +280 1466 5 891700836 +194 121 2 879539794 +416 845 4 876697361 +495 451 4 888635524 +301 81 3 882077351 +505 498 5 889334274 +437 518 2 880143809 +186 754 2 891717690 +261 687 5 890455020 +308 118 3 887739670 +64 227 3 889740880 +455 321 2 892230438 +213 504 5 878955885 +499 661 3 885599474 +301 447 4 882078955 +26 246 4 891351590 +504 194 3 887832668 +387 470 3 886483970 +279 932 3 892174381 +103 405 3 880416424 +296 79 4 884197068 +7 449 3 891354785 +451 332 4 879012342 +167 96 5 892738307 +21 413 2 874951293 +393 802 3 889729420 +455 204 4 879111249 +31 175 5 881548053 +385 1066 4 879446591 +286 147 5 876522114 +59 642 5 888206254 +259 121 3 881379128 +428 896 4 885943685 +405 1221 1 885546155 +468 285 4 875280104 +328 62 3 885049275 +354 889 5 891217966 +446 303 2 879787859 +448 316 1 891887337 +56 399 4 892910247 +371 627 4 877487656 +96 195 5 884403159 +393 376 4 889730011 +201 772 5 884113343 +374 1215 1 880936522 +308 558 4 887737594 +383 1063 5 891192888 +116 268 5 886310197 +328 226 3 885048235 +178 685 4 882824253 +224 333 3 888081976 +270 5 5 876956064 +57 64 5 883698431 +374 1049 1 883628021 +167 478 5 892738452 +224 326 4 888082071 +193 781 3 889124469 +89 240 4 879441571 +409 483 4 881107602 +327 327 3 887737402 +347 756 2 881653266 +416 1074 5 893213103 +509 319 2 883590913 +326 657 5 879875431 +92 364 3 875907702 +495 391 3 888637440 +6 410 4 883599707 +472 739 5 875982967 +461 313 4 885355646 +122 180 5 879270327 +454 642 2 888267419 +518 1047 4 876823266 +494 237 4 879541375 +499 215 4 885599475 +472 255 5 892791017 +378 496 3 880045935 +387 91 4 886483669 +416 225 1 876697330 +361 430 5 879440475 +429 166 5 882384796 +373 423 2 877103846 +96 318 5 884403057 +307 181 5 879283232 +13 880 3 882140966 +387 151 3 886481228 +48 269 1 879434094 +275 99 3 875154718 +234 185 3 892078936 +68 286 5 876973692 +500 30 4 883875275 +473 547 3 878157600 +473 10 3 878157527 +177 11 4 880131161 +326 64 4 879875024 +366 561 5 888858078 +148 50 5 877016805 +49 1018 2 888066755 +90 972 4 891384476 +486 818 3 879874784 +479 422 3 879461207 +17 137 4 885272606 +64 436 5 889739625 +79 906 5 891271792 +516 199 3 891290649 +450 225 4 887662002 +407 635 3 876345934 +381 847 4 892697542 +479 161 3 879461399 +145 687 2 882181335 +321 510 5 879440317 +505 187 1 889333676 +201 956 4 884140522 +436 125 4 887770037 +256 684 5 882164480 +91 135 4 891439302 +358 558 4 891269511 +279 94 3 892865054 +312 176 4 891699295 +326 511 4 879875593 +301 502 4 882076558 +451 1296 3 879012685 +18 949 3 880131559 +94 90 3 891721889 +331 735 4 877196444 +72 212 5 880036946 +472 365 4 875983129 +421 11 2 892241624 +269 96 1 891450755 +406 641 5 884630523 +314 125 5 877886412 +303 137 4 879468414 +363 531 4 891495879 +518 291 3 876823926 +447 117 4 878854630 +145 23 4 875271896 +374 186 5 880395604 +333 513 4 891045496 +445 295 1 891199843 +383 340 5 891192276 +103 301 4 880416704 +346 180 5 874947958 +409 191 5 881107817 +75 678 3 884049758 +494 1 3 879541374 +326 651 4 879875663 +167 435 5 892738453 +271 286 4 885844610 +315 176 4 879821193 +416 283 5 893213796 +320 550 5 884749384 +307 204 3 879205470 +327 1007 4 887745272 +167 1304 4 892738277 +235 603 3 889655044 +279 624 4 875734996 +425 22 3 878738290 +221 358 3 875244232 +393 1258 3 887744688 +457 282 4 882392785 +145 877 2 885557506 +465 179 3 883531325 +472 88 2 875982607 +510 289 2 887667751 +325 50 5 891478140 +181 1359 1 878962200 +305 327 3 886307948 +361 502 4 879440475 +18 200 3 880131775 +214 154 3 891544000 +13 316 5 888073653 +387 47 4 886480384 +457 258 5 882392853 +487 136 5 883445606 +59 111 4 888203095 +145 789 4 875272132 +378 15 4 880044312 +305 64 5 886323406 +44 249 4 878346630 +348 126 5 886523560 +457 240 3 882395638 +359 298 5 886453354 +393 90 2 889729938 +294 619 3 877820328 +466 1313 3 890283690 +321 9 4 879440472 +174 1282 5 886433862 +132 175 3 891278807 +405 729 4 885545487 +5 378 1 875721167 +159 274 3 880557387 +279 444 3 875659746 +479 71 1 879461143 +435 154 4 884131434 +25 474 4 885852008 +374 161 5 880938965 +234 1133 3 892336358 +449 546 2 879959573 +430 302 4 877225173 +361 60 4 879440605 +328 70 4 885047252 +303 239 3 879484871 +479 748 3 879459710 +450 402 4 882395662 +434 756 2 886725027 +380 463 4 885479372 +476 781 4 883365135 +428 879 4 885943818 +474 234 5 887923788 +330 568 5 876546752 +269 77 1 891451374 +92 591 4 875640294 +351 300 5 879481425 +505 468 4 889334096 +379 233 3 880525638 +201 1268 4 884112077 +425 529 4 890346998 +22 231 2 878887983 +435 284 2 884132898 +406 71 3 879793081 +375 5 4 886622066 +327 12 3 887744205 +437 581 1 880143010 +466 350 4 890284651 +409 484 4 881107310 +202 204 3 879727058 +405 1253 1 885548671 +363 70 2 891496373 +394 84 4 880889583 +494 199 4 879541158 +486 6 4 879874902 +339 530 5 891032413 +383 531 3 891192888 +360 748 2 880354094 +232 246 4 885939945 +277 147 4 879543822 +416 347 4 893214333 +470 93 4 879178518 +22 367 1 878886571 +392 880 4 891037720 +271 505 4 885848475 +246 12 5 884921948 +389 997 3 881384536 +514 429 4 875311225 +280 239 3 891701344 +306 321 3 876503793 +524 151 1 884627327 +472 1469 4 875982337 +501 25 3 883347773 +15 50 5 879455606 +118 132 4 875384793 +495 1444 2 888637018 +125 790 4 892838462 +314 815 5 877886375 +13 155 2 882399615 +203 993 3 880434919 +405 1290 2 885546379 +376 427 4 879454598 +291 140 4 875086887 +244 941 4 880603618 +278 286 5 891295044 +210 435 4 887730407 +495 200 5 888637768 +325 28 3 891478796 +450 736 5 882395167 +43 479 4 875981365 +286 224 5 889651549 +481 313 4 885827861 +227 321 3 881518363 +525 1 4 881085964 +470 221 4 879178370 +250 676 5 878089547 +2 1 4 888550871 +221 156 5 875245533 +63 15 3 875747439 +128 133 5 879967248 +426 1204 4 879444321 +64 679 3 889740033 +389 474 5 879991535 +443 323 2 883504866 +521 81 1 885253861 +178 1101 4 882827019 +471 418 3 889827757 +52 117 4 882922629 +5 392 2 875637330 +181 877 2 878961668 +65 258 3 879216131 +379 191 5 880524886 +271 257 4 886106038 +170 348 3 887646014 +178 1157 3 882827375 +524 205 5 884634707 +56 234 4 892679067 +224 736 3 888082742 +193 94 3 889127592 +216 58 4 880244972 +271 1046 4 885849357 +524 89 5 884634533 +514 746 5 875309276 +158 293 4 880132513 +122 69 2 879270511 +128 655 3 879969064 +479 164 4 879461781 +454 11 1 888266433 +416 1426 5 893212572 +7 419 3 891350900 +486 123 3 879875278 +229 311 5 891633028 +416 268 4 876696643 +292 482 5 881103606 +470 293 4 879178455 +488 655 3 891294246 +71 175 4 885016882 +109 29 3 880582783 +445 480 3 890988206 +160 531 5 876942699 +178 95 5 882826514 +524 660 5 884636152 +447 642 4 878855819 +383 223 3 891193137 +181 336 2 878961709 +195 1416 2 884504132 +458 742 4 886394730 +308 15 3 887739426 +292 156 5 881105516 +130 982 1 880396831 +376 223 4 879454598 +483 250 3 878952837 +178 591 5 882827288 +213 655 4 878956300 +435 85 4 884132840 +405 1588 1 885549789 +40 245 3 889041671 +436 200 3 887769515 +393 257 4 887744294 +347 226 4 881653890 +178 238 4 882826577 +232 302 5 885939473 +524 285 3 884322168 +130 532 5 876250955 +184 512 4 889908716 +59 713 5 888203579 +13 646 4 882140037 +184 527 4 889908462 +479 385 2 879461567 +454 257 4 881959276 +230 265 5 880484544 +101 280 3 877136039 +428 988 1 885943955 +26 628 3 891372429 +454 197 4 881959961 +16 240 4 877724603 +405 573 3 885548435 +262 181 3 879961819 +13 689 2 881515735 +123 98 4 879872672 +62 1 2 879372813 +463 284 3 877385531 +151 781 3 879543181 +178 235 1 882824467 +405 1166 1 885546025 +13 347 5 885185824 +251 1098 3 886271920 +334 83 4 891628832 +325 768 3 891479564 +271 663 4 885849052 +416 329 3 886314592 +503 173 5 880383357 +64 431 4 889737376 +193 72 2 889127301 +22 449 1 878888145 +104 302 5 888441877 +336 388 1 877757418 +46 245 3 883614625 +429 485 3 882385210 +339 80 3 891035707 +378 693 4 880046022 +31 490 4 881548030 +271 614 4 885848373 +265 298 5 875320633 +381 283 5 892697655 +337 15 5 875185596 +467 240 3 879532773 +348 111 5 886523330 +64 748 1 879365314 +303 387 5 879485401 +497 385 3 879310792 +163 433 1 891220137 +470 246 2 879189432 +92 145 2 875654929 +475 347 4 891451341 +405 1590 1 885549789 +117 144 4 881011807 +354 753 5 891217482 +365 288 5 891303357 +10 221 4 877888677 +181 591 4 878962996 +457 1012 4 882393765 +373 655 5 877098374 +329 169 4 891656178 +276 797 3 877934643 +167 240 1 892737972 +102 566 2 888801876 +374 620 3 880394088 +417 123 2 879646500 +437 657 5 881001888 +195 1407 2 874825826 +387 97 2 886483859 +102 91 3 883748488 +506 1608 2 885135497 +327 211 3 887818682 +398 480 5 875658794 +57 763 5 883698581 +457 769 2 882551740 +486 3 2 879875347 +504 755 4 887841177 +217 33 4 889069878 +59 443 5 888205370 +417 273 3 879646286 +59 647 5 888205336 +484 778 5 891195246 +354 255 2 891216788 +441 9 4 891035528 +455 304 3 878585409 +104 313 4 888441878 +293 38 1 888907981 +10 432 4 877892160 +385 482 3 879441728 +374 974 4 880394331 +450 707 5 882373786 +246 208 4 884921394 +91 176 5 891439130 +518 25 5 876823197 +262 959 2 879794739 +492 483 2 879969210 +514 328 3 885180947 +393 876 3 889554316 +125 435 4 892836550 +440 971 5 891577871 +432 150 5 889415853 +270 335 3 876953900 +399 12 3 882509891 +378 248 3 883835834 +303 540 1 879543679 +474 285 5 888628044 +405 1148 1 885546680 +357 597 4 878952080 +479 436 4 879461856 +173 690 5 877557076 +181 475 2 878962720 +458 1261 4 886397413 +152 504 4 882476261 +374 924 5 880393095 +445 117 1 891199821 +298 134 5 884182966 +44 81 4 878348499 +346 366 2 874947609 +365 294 1 891303614 +262 40 4 879795405 +13 554 2 882397833 +343 89 3 876406006 +524 615 2 884637409 +394 128 3 880888896 +11 69 3 891904270 +116 306 3 876751342 +90 1195 5 891384789 +449 1006 4 880410701 +436 288 4 887768445 +84 225 4 883452307 +500 553 2 883876370 +327 1017 2 887819316 +285 302 5 890595313 +5 390 5 875636340 +456 50 4 881373473 +354 652 4 891217194 +142 124 4 888640379 +520 315 4 885169083 +508 69 3 883776748 +337 449 4 875185319 +95 193 3 879198482 +413 9 4 879969591 +303 3 3 879485184 +480 174 5 891208356 +60 1050 3 883327923 +67 25 4 875379420 +327 464 4 887822785 +122 582 5 879270644 +259 288 3 874724905 +519 1617 5 883250102 +496 156 3 876065933 +293 165 3 888905991 +222 31 5 878182453 +90 430 3 891383835 +267 229 4 878972558 +435 423 2 884131157 +495 235 5 888636603 +276 73 3 874791805 +116 116 3 876453733 +504 118 3 887831838 +514 189 5 875318291 +292 607 4 881105625 +450 60 3 882472089 +412 7 5 879717505 +508 144 3 883767728 +374 89 2 880395896 +437 218 2 880142830 +493 180 4 884130793 +26 126 4 891371676 +161 435 2 891171104 +405 525 1 885548632 +279 436 4 891209332 +148 89 5 877398587 +354 1197 3 891219490 +10 116 4 877888944 +321 175 3 879439706 +437 746 4 880141335 +435 751 4 884130725 +360 308 4 880353584 +495 216 4 888632443 +67 546 3 875379288 +354 515 3 891216526 +279 597 5 875297456 +463 1012 2 889935860 +234 602 4 892334368 +346 802 4 875265236 +398 735 4 875659266 +23 652 4 874785926 +435 1401 4 884131868 +456 369 3 881371942 +446 328 3 879786984 +43 140 4 883955110 +449 117 3 879958624 +299 484 4 877881169 +495 68 5 888634987 +267 926 2 878970785 +430 264 2 877225328 +94 809 2 891723155 +201 11 4 884112201 +453 172 5 877554587 +405 776 1 885549094 +393 1228 3 889728074 +222 388 2 878184765 +388 742 5 886437163 +495 44 3 888636032 +429 165 5 882384821 +316 168 3 880853599 +60 608 5 883326028 +363 72 1 891496850 +378 387 4 880056452 +453 384 2 888205711 +386 833 3 877655195 +468 251 4 875280180 +328 317 4 885046976 +6 504 3 883601155 +344 405 2 884900353 +72 582 4 880036783 +419 181 4 879435807 +453 427 3 877554174 +504 402 4 887839835 +483 249 2 878952866 +450 613 4 887660650 +206 262 1 888180049 +293 746 3 888906748 +94 66 2 891721889 +379 79 5 880525368 +455 778 4 879112582 +217 679 5 889069878 +435 161 3 884133710 +394 210 4 880888689 +280 1221 5 891701944 +450 465 4 887834823 +286 209 4 877531691 +459 274 4 879563226 +438 866 5 879868529 +504 215 4 887908861 +488 485 3 891294298 +442 82 3 883390497 +523 382 5 883701018 +417 206 2 879648778 +257 70 4 880496892 +479 230 4 879461898 +348 121 5 886523521 +72 15 5 880035708 +508 735 4 883775341 +246 95 3 884920949 +115 33 4 881171693 +139 460 3 879538199 +456 673 3 881374849 +450 747 4 882395166 +297 514 3 875239383 +442 943 4 883391221 +472 141 4 875982200 +327 321 3 887743761 +525 123 3 881086051 +472 501 3 875982868 +379 559 3 880524669 +523 153 4 883702054 +276 692 4 874791960 +466 2 1 890284819 +174 696 4 886434087 +94 586 1 891723707 +468 321 3 875279126 +230 28 5 880484444 +23 283 4 874784575 +487 143 3 883530841 +303 525 5 879466604 +314 1041 4 877888445 +181 934 3 878963086 +511 292 5 890004686 +382 56 5 875946830 +181 1162 1 878962392 +327 218 3 887746328 +255 685 3 883216845 +416 367 5 893212572 +248 7 2 884534968 +528 485 2 886101872 +378 651 4 880045681 +480 483 3 891208293 +504 199 4 887912236 +393 480 4 889554756 +38 1033 5 892432531 +393 559 3 889729614 +299 461 3 878192601 +284 272 5 885328727 +515 690 2 887660131 +234 4 4 892334610 +268 397 2 875744321 +327 285 4 887744459 +49 1072 1 888069194 +450 493 4 887660722 +14 96 4 890881433 +493 546 5 884131738 +417 265 3 879648026 +492 127 5 879969879 +484 926 4 881450136 +181 1026 1 878961781 +19 288 3 885411840 +85 197 5 879455197 +417 154 4 879647561 +193 300 4 889123039 +254 8 5 887347000 +194 405 2 879539305 +453 100 5 877552612 +497 100 4 878759828 +426 494 3 879442702 +305 121 3 886324898 +378 11 3 880046516 +298 23 4 884183236 +311 1042 3 884366187 +314 367 4 877889770 +205 315 4 888284245 +291 417 4 875086958 +429 216 4 882385090 +276 21 3 874787195 +233 378 4 877663429 +97 526 3 884239687 +406 215 3 884630523 +94 56 5 891725331 +56 210 5 892676377 +18 474 4 880129731 +308 591 3 887739608 +320 421 4 884750968 +32 248 4 883717816 +197 678 2 891409593 +245 133 2 888513058 +401 1016 3 891032607 +201 238 3 884113343 +254 78 3 886475476 +295 118 3 879518840 +498 197 5 881958414 +495 172 5 888632378 +528 239 5 886101632 +270 279 5 876954093 +399 559 3 882344096 +311 750 5 884363706 +416 219 4 876699946 +486 286 2 879873973 +296 523 4 884197235 +280 235 5 891701649 +429 31 3 882386966 +207 60 3 877845845 +16 469 3 877720916 +367 559 4 876690048 +433 59 5 880585730 +371 50 4 877486953 +83 322 3 889681216 +399 710 2 882342537 +493 298 3 884130668 +298 318 5 884182657 +263 690 5 891297209 +178 90 3 882827985 +112 321 3 884992484 +363 537 1 891495402 +6 321 3 883268353 +429 258 4 882386096 +286 144 3 877531434 +92 100 5 875640294 +499 742 4 885599334 +429 392 3 882386051 +497 82 4 879310792 +504 197 4 887832531 +123 483 4 879873020 +318 94 4 884498210 +313 404 4 891030189 +472 411 4 875979113 +126 328 5 887853735 +504 417 3 887841177 +130 82 5 875802080 +345 1008 3 884991267 +94 508 5 891720712 +469 530 5 879524376 +504 719 3 887841248 +504 281 4 887831447 +393 1185 3 889728606 +435 175 4 884132588 +518 919 5 876822967 +474 498 4 887924683 +504 934 4 887832170 +504 75 4 887912568 +497 864 3 879309734 +480 234 4 891208769 +286 216 4 877532013 +494 191 4 879541158 +311 724 4 884365406 +206 1434 1 888180082 +508 172 5 883767157 +314 11 5 877887837 +435 200 5 884131661 +422 53 4 879744183 +504 143 4 887838008 +347 982 1 881652709 +524 650 2 884637528 +474 196 5 887924469 +442 685 2 883390703 +197 684 4 891409981 +472 1095 4 883904614 +483 449 3 878953593 +425 841 1 878738597 +222 238 5 878181673 +450 123 2 882373464 +472 135 4 875982051 +263 87 4 891298977 +479 1244 3 887064647 +241 288 5 887249745 +445 248 1 891199774 +339 186 4 891032255 +456 1008 4 881371427 +18 9 5 880130550 +246 746 4 884922070 +265 245 4 875320112 +486 717 2 879875440 +95 971 3 879198262 +301 195 5 882076098 +532 58 4 888636374 +10 334 4 877886281 +13 613 4 881515411 +48 496 5 879434791 +26 181 4 891386369 +244 1079 2 880605333 +330 554 3 876547500 +458 288 3 886394667 +189 132 5 893265865 +160 671 5 876859778 +489 271 4 891448706 +180 258 5 877125493 +458 956 5 886397377 +354 66 2 891307180 +253 300 4 891627724 +429 137 5 882387731 +291 546 3 874805958 +257 245 4 884151807 +342 8 4 875319597 +436 325 3 887768756 +507 338 5 889964348 +472 578 5 892790952 +1 211 3 878541970 +530 527 4 883784654 +504 1442 3 887911444 +194 69 4 879521595 +416 746 5 893213444 +64 569 3 889740602 +287 9 5 875334089 +311 196 5 884365325 +396 742 4 884646346 +450 10 4 882398567 +276 558 4 874787526 +81 275 4 876533657 +406 204 5 879446718 +452 203 3 875275561 +280 765 4 891701816 +44 159 3 878347633 +531 990 5 887048789 +264 514 5 886123359 +524 1268 3 884637032 +7 574 5 892132402 +463 149 2 877385341 +279 71 3 890780576 +63 1012 3 875747854 +506 72 3 874874802 +503 137 5 879438072 +62 1009 4 879372869 +389 602 4 879991081 +86 328 2 879569555 +370 135 4 879434746 +232 603 4 888549376 +472 217 5 875982867 +478 496 5 889388862 +387 768 1 886483620 +7 616 4 891351002 +59 416 3 888205660 +399 554 3 882348592 +101 257 4 877137015 +321 83 4 879439926 +506 1219 2 874874760 +114 855 3 881260473 +145 117 5 875270655 +92 1011 3 886443471 +85 30 3 882995290 +425 17 4 878738290 +39 937 5 891400704 +42 720 4 881109149 +349 544 4 879465933 +102 501 2 883748418 +276 462 4 874795868 +270 727 5 876955563 +207 88 2 878104627 +151 782 4 879542566 +116 324 2 876452133 +456 273 3 881372328 +488 491 4 891294209 +81 1047 3 876533988 +176 25 3 886048188 +123 319 4 879809220 +213 511 4 878955442 +203 150 5 880434278 +230 237 5 880484800 +500 223 4 883873839 +92 143 3 875653960 +186 595 3 879023390 +374 106 3 880394088 +21 240 4 874951245 +417 118 4 879646548 +65 514 4 879217998 +459 336 2 879561708 +83 739 5 880308141 +266 286 4 892256662 +156 178 5 888185777 +256 185 5 882164696 +347 692 4 881654679 +236 216 5 890116163 +250 340 4 883263374 +353 272 5 891402757 +476 1188 2 883364780 +524 605 1 884637566 +496 633 3 876065822 +435 1074 2 884133415 +95 423 5 880571479 +118 53 5 875385280 +524 182 5 884635031 +401 430 2 891033582 +344 70 3 884901561 +200 107 3 884128022 +399 226 3 882344406 +459 121 5 879563474 +398 125 3 875719764 +73 171 5 888626199 +505 54 3 889334067 +518 284 4 876823324 +37 825 2 880915565 +130 261 4 874953525 +479 122 1 879460648 +190 898 2 891033349 +137 174 5 881433654 +351 245 3 879481550 +227 273 3 879035206 +382 332 3 876803039 +229 272 3 891632073 +109 216 3 880572891 +437 781 4 880143263 +452 1427 5 885816768 +479 655 4 879460959 +514 47 4 875462645 +450 514 5 882468931 +210 290 4 887730813 +409 478 4 881107155 +437 168 3 881002161 +409 1065 2 881109264 +343 1 5 876402668 +416 346 4 886314592 +342 131 5 875319786 +397 588 4 885349528 +458 284 4 886394527 +327 182 4 887744205 +268 729 3 875310673 +301 228 3 882076966 +502 683 3 883702867 +239 65 5 889180041 +467 100 5 879532420 +425 286 1 878737511 +361 129 4 879441285 +460 1115 3 882912235 +532 603 5 893119491 +363 1214 1 891497712 +373 432 5 877098949 +94 786 3 891723593 +314 1311 5 877889994 +234 69 4 892078567 +450 1041 4 882469432 +128 159 4 879968390 +5 101 5 878844510 +524 603 3 884637376 +338 443 5 879438570 +372 1109 4 876869818 +477 88 5 875941085 +456 985 3 881371492 +529 325 3 882535693 +464 705 5 878355258 +419 89 3 879435722 +251 429 4 886271955 +388 298 5 886436582 +198 763 3 884206482 +405 644 3 885545672 +354 193 3 891217782 +483 313 2 884046430 +456 86 2 881374332 +497 765 3 879363155 +160 248 5 876768828 +345 1023 2 884994658 +500 133 3 883875681 +425 445 3 878738887 +19 887 4 885411465 +236 673 4 890116132 +301 127 4 882074262 +294 410 4 877819897 +74 328 4 888333280 +378 404 4 880056034 +144 69 5 888105140 +161 181 2 891171848 +474 210 5 887928562 +105 271 2 889214245 +417 16 3 879646692 +445 831 1 891200447 +303 518 4 879468581 +10 692 4 877889261 +474 756 1 887915646 +454 100 4 881959917 +119 329 3 886433226 +303 420 4 879484563 +174 210 4 886514788 +327 69 2 887822711 +184 1014 2 889907468 +447 5 3 878856422 +94 932 2 891724691 +455 529 3 879111737 +501 307 4 883346651 +506 50 5 878044852 +454 143 4 881960230 +392 59 4 891039049 +394 156 4 880886855 +145 738 3 875272927 +5 208 4 875636675 +524 1044 4 884636931 +346 576 3 875264945 +484 879 4 891194665 +401 632 4 891033014 +401 282 3 891032584 +6 522 5 883601500 +416 94 2 886318546 +495 29 2 888636573 +483 271 3 881273325 +44 25 2 878346431 +303 25 4 879468047 +274 98 5 878946536 +436 276 4 887769824 +508 188 4 883767325 +184 1167 5 889913687 +15 333 1 879455128 +474 496 4 887923708 +171 258 4 891034801 +360 50 4 880354149 +157 1244 3 886891194 +373 143 3 877105005 +148 209 5 877398648 +437 132 5 880141962 +42 934 4 881106419 +416 915 5 893212483 +393 815 4 887744372 +474 676 3 887916369 +493 250 4 884130387 +497 802 2 879362118 +429 184 4 882386260 +234 137 3 891227730 +70 300 4 884063569 +480 319 3 891207539 +256 815 5 882151743 +371 64 4 877487052 +371 655 4 880435238 +457 54 4 882549322 +405 957 1 885549464 +94 93 4 891724282 +405 416 2 885548932 +58 652 5 884304728 +495 109 5 888633594 +496 97 1 876066848 +330 729 5 876545721 +347 356 5 881654134 +392 650 5 891038978 +406 219 3 879792897 +326 483 5 879874963 +271 235 3 885848062 +488 605 3 891294785 +13 357 3 881515411 +92 421 4 875654534 +87 228 5 879875893 +18 972 3 880130515 +3 268 3 889236961 +256 741 4 882151517 +436 794 4 887771123 +92 160 4 875654125 +495 222 5 888633277 +112 339 4 892439990 +315 327 4 879799583 +476 238 3 883364324 +417 198 4 879647924 +333 153 4 891045496 +296 180 5 884198772 +194 820 1 879541742 +222 506 2 878183264 +504 404 4 887910370 +422 327 3 875129603 +399 582 3 882343358 +87 21 3 879877173 +203 283 5 880434359 +299 1005 5 878192833 +311 648 4 884364694 +86 888 4 879570218 +298 1 5 884126061 +275 408 3 875154438 +379 447 4 880524582 +101 742 4 877136302 +496 380 2 876068433 +297 237 4 875239383 +279 291 3 878878420 +517 284 2 892659923 +143 323 3 888407656 +77 250 3 884732873 +500 739 2 883876573 +286 121 3 876522166 +293 939 2 888906516 +346 56 5 874949217 +60 173 4 883326498 +125 705 5 879454243 +455 47 2 879112172 +511 313 5 890004702 +245 1033 5 888513522 +506 779 2 885135954 +509 50 5 883591878 +23 856 4 874787288 +193 508 4 889125319 +104 289 4 888442112 +527 152 2 879456405 +339 276 4 891032495 +1 40 3 876893230 +450 13 3 882373297 +464 326 4 878354761 +527 956 4 879455847 +368 313 5 889783251 +454 509 2 881960230 +271 520 5 885848615 +339 157 4 891032379 +160 410 4 876769148 +524 198 4 884634707 +7 656 3 891351509 +474 61 3 887924619 +339 428 5 891032349 +468 137 4 875280126 +321 1126 3 879439860 +332 264 3 893027312 +387 972 2 886483859 +332 456 4 887938556 +437 208 5 880139997 +485 289 3 891041551 +37 566 4 880916010 +532 95 5 893118711 +7 558 4 892131924 +491 19 4 891185209 +13 191 3 881515193 +489 272 5 891448367 +500 164 4 883874469 +437 794 4 880143243 +436 159 4 887770192 +500 1163 1 883865290 +311 423 5 884365579 +342 1167 1 875319854 +52 204 4 882923012 +429 1217 2 882385489 +519 352 5 883250148 +178 127 5 882823978 +43 133 4 875981483 +532 70 4 888634801 +92 651 4 875653271 +42 58 5 881108040 +109 411 4 880572296 +435 49 4 884132072 +296 303 4 884196238 +406 1202 3 879445684 +85 712 3 882995754 +429 164 4 882385489 +425 55 4 878737945 +91 603 5 891439171 +13 909 5 890704721 +497 152 2 878759898 +177 176 4 880130951 +327 298 3 887744405 +276 222 4 880913800 +456 69 4 881373949 +507 826 5 889966127 +303 544 4 879483617 +200 392 5 884128858 +358 318 5 891271063 +128 387 2 879968774 +514 402 4 875463245 +489 263 2 891448268 +389 780 3 880614316 +495 642 4 888635050 +161 186 4 891171530 +345 223 5 884902317 +459 1 4 879562960 +417 367 2 879648898 +351 1024 4 879481495 +363 216 3 891495879 +26 831 2 891379753 +109 809 4 880582945 +280 324 5 891700185 +299 962 4 889501593 +339 709 5 891032982 +94 993 4 891724303 +450 451 4 882398220 +184 708 4 889909962 +197 895 3 891409199 +439 405 4 882893323 +406 474 5 884630554 +476 944 2 883364813 +42 125 4 881105462 +328 12 5 885045528 +398 494 3 875813142 +497 588 4 879309993 +199 1326 3 883782934 +430 221 5 877225547 +105 313 5 889214193 +210 69 4 887736482 +393 761 4 889728667 +476 734 4 883365274 +205 1025 1 888284495 +385 8 5 880870206 +295 631 5 879966498 +223 591 3 891549627 +268 179 4 875309258 +408 315 5 889679715 +466 334 3 890283690 +416 25 4 876697243 +107 268 4 891264387 +405 419 4 885548785 +360 248 4 880354484 +75 114 4 884051893 +393 421 2 889555000 +385 496 2 879441538 +533 949 4 879439519 +102 38 2 888801622 +18 94 3 880131676 +508 568 4 883777237 +497 230 2 879310762 +184 654 4 889908824 +110 231 1 886988664 +62 436 3 879375883 +507 1034 5 889966127 +521 1016 3 884476002 +223 749 4 891549049 +313 167 3 891029076 +380 566 3 885478519 +393 239 4 889728324 +102 332 3 883277920 +235 701 4 889655086 +350 265 2 882347466 +345 534 4 884994592 +454 651 4 881960083 +104 290 4 888465739 +52 588 4 882922927 +416 785 3 888703399 +447 678 3 878854056 +208 996 3 883108684 +389 208 5 880087415 +532 369 3 874792142 +138 133 4 879024043 +354 661 4 891306946 +312 514 3 891698516 +502 294 3 883702255 +405 1587 1 885546529 +373 189 5 877100416 +502 879 3 883701980 +496 154 2 876066424 +473 276 4 878157404 +452 684 4 888493923 +398 49 3 875736199 +35 881 2 875459127 +453 268 4 877552481 +119 276 2 874775262 +509 288 5 883590443 +189 647 4 893265826 +381 139 3 892697358 +294 413 3 889242166 +429 692 3 882385118 +303 54 3 879484695 +472 552 5 892790576 +291 231 3 874835024 +312 654 5 891698485 +339 640 5 891035035 +246 679 2 884922917 +500 386 3 883875610 +435 118 2 884132458 +493 175 4 884131933 +298 79 5 884182685 +125 780 2 892839270 +450 418 4 882395914 +95 205 3 888954412 +472 395 3 875982559 +506 1016 4 882100828 +318 282 4 884470775 +465 28 3 883531110 +244 105 2 880605333 +380 699 3 885479186 +129 302 4 883243934 +486 597 3 879875187 +425 1464 2 890346998 +26 24 3 891377540 +417 1182 3 879648798 +389 610 5 880086972 +109 403 5 880581719 +275 135 3 880314824 +387 195 4 886479528 +91 182 4 891439439 +195 326 3 887439400 +61 748 2 892302120 +327 708 4 887818596 +533 477 4 880402957 +500 640 4 883874776 +6 47 3 883600943 +346 181 5 874948332 +230 568 3 880484567 +256 88 5 882165296 +318 378 4 884497632 +18 707 3 880131450 +269 185 5 891448951 +425 679 3 878738548 +406 198 2 879793179 +389 612 4 879991218 +367 183 5 876689738 +373 64 4 877098643 +184 738 3 889910372 +330 293 3 876544311 +385 143 3 879446465 +336 1496 1 877757268 +387 650 2 886480163 +198 56 5 884207392 +314 284 3 877886706 +426 524 4 879442785 +293 660 2 888907433 +268 89 4 876513897 +262 735 4 879793854 +524 66 3 884636617 +497 101 4 879310070 +233 196 5 880610814 +254 1183 4 887347350 +497 87 3 879363565 +532 216 5 893119438 +374 928 1 880393892 +44 448 2 878348547 +43 86 4 883955020 +338 708 5 879438627 +313 493 3 891016193 +303 550 3 879467607 +222 806 4 878181534 +487 265 5 883530236 +422 250 5 875130100 +331 958 5 877196504 +474 529 5 887924571 +503 54 2 879454950 +476 585 1 883365336 +429 591 3 882385663 +286 14 4 875807003 +426 835 3 879444853 +460 301 3 882910579 +370 195 4 879434886 +257 1160 4 882049973 +496 727 5 876072633 +230 95 5 880484850 +303 382 3 879467815 +363 322 2 891493959 +279 649 3 875312719 +320 66 4 884751034 +456 1168 4 881375284 +486 276 4 879874969 +374 226 5 880937876 +327 428 4 887819021 +1 270 5 888732827 +446 754 3 879787858 +291 403 4 874835165 +478 604 3 889398289 +393 494 4 889727702 +304 895 3 884967017 +453 17 4 877553928 +35 678 3 875459017 +194 693 4 879524216 +466 333 4 890284652 +385 134 5 879441538 +455 692 3 879111249 +524 95 3 884636617 +239 421 5 889181048 +498 258 2 881955080 +501 324 4 883346694 +214 100 4 891542986 +345 70 5 884992248 +479 752 3 889125284 +1 133 4 876892818 +473 508 2 878157456 +106 216 5 881452998 +405 769 1 885548475 +456 640 4 881373697 +85 512 3 879456199 +90 26 4 891385842 +13 321 2 882140740 +453 276 5 877552564 +521 179 4 885253708 +503 402 3 880383467 +144 244 3 888104588 +484 94 4 891195856 +381 99 5 892696445 +416 710 4 893142441 +514 175 4 875462426 +472 475 5 892791017 +42 175 2 881107687 +291 215 4 874868382 +275 132 3 880314529 +314 78 4 877890463 +417 255 3 879646327 +234 950 2 892079538 +426 1064 4 879444117 +267 655 4 878971989 +145 761 4 882182850 +327 1069 4 887819136 +417 39 3 879648212 +533 1177 1 879192184 +532 333 4 875441189 +425 327 4 890346659 +504 403 3 887910409 +459 222 4 879562994 +416 144 5 893212730 +417 562 4 879648955 +144 144 4 888105254 +474 181 5 887915511 +159 72 3 884026946 +187 651 5 879465566 +64 191 4 889740740 +437 58 4 880141243 +328 559 3 885048986 +60 433 4 883327342 +334 125 3 891544925 +409 615 5 881107084 +450 611 5 887135833 +193 237 4 889124327 +405 211 1 885547177 +327 686 4 887820293 +405 1307 1 885546529 +523 662 4 883703070 +207 756 2 877878923 +435 27 1 884133911 +445 1277 2 891200736 +505 66 4 889333313 +532 399 3 888630360 +311 504 4 884364873 +121 1266 4 891388250 +365 151 4 891304106 +416 393 4 886316118 +378 1048 2 880333851 +429 93 4 882385136 +314 1267 3 877888117 +487 45 5 883446725 +291 563 3 874867824 +373 499 4 877098643 +495 217 5 888637768 +116 191 4 876453961 +305 180 4 886323806 +320 82 3 884749359 +338 83 2 879438064 +62 91 4 879375196 +279 1266 1 875308843 +416 158 3 886319235 +454 79 4 881960083 +453 288 4 877562071 +190 15 4 891033697 +151 549 4 879543324 +484 597 3 881450182 +487 87 5 883445606 +437 381 5 880142426 +405 788 1 885548275 +181 358 2 878961709 +478 17 2 889396180 +97 183 5 884238911 +83 249 2 887664680 +183 176 3 891466266 +18 480 4 880129595 +387 511 3 886483049 +94 741 4 891721352 +177 469 4 880131201 +496 1133 3 876070957 +429 762 4 882386814 +347 117 5 881652518 +13 401 1 882141841 +405 404 4 885548932 +385 483 4 879442028 +407 455 3 884201774 +390 126 5 879694123 +407 1012 3 875548480 +232 514 4 888549879 +87 722 4 879876946 +383 89 3 891193181 +524 143 3 884635085 +222 271 4 881057647 +194 1011 3 879539794 +374 69 5 880394840 +70 83 4 884065895 +313 168 3 891013589 +497 94 3 879363133 +354 272 3 891180399 +454 1269 3 881959698 +305 170 4 886322691 +197 56 1 891409799 +504 1508 3 887911686 +496 921 5 876072633 +268 981 1 875743283 +96 181 5 884403687 +145 977 3 879161931 +373 66 4 877099263 +453 68 4 877561411 +183 1159 3 891479702 +334 197 4 891546181 +521 156 4 884478171 +308 68 4 887740933 +505 705 3 889333758 +3 288 2 889237026 +501 151 4 883348543 +32 313 4 883709840 +308 241 4 887738509 +307 660 3 879205470 +303 357 5 879466717 +83 411 2 880307259 +116 203 5 876453915 +459 8 5 879563903 +73 272 4 888792247 +495 392 5 888635455 +450 258 4 882216108 +107 313 2 891264266 +510 330 2 887667808 +303 455 3 879484421 +189 1065 5 893265478 +23 433 5 874785233 +293 433 3 888907407 +372 559 4 876869481 +15 118 1 879456381 +269 715 4 891448092 +222 257 4 877563353 +160 455 4 876769689 +287 682 4 888177213 +416 468 5 893213549 +391 659 4 877399208 +518 934 3 876823143 +44 24 3 878346575 +533 526 2 879191265 +463 993 2 877387935 +429 531 5 882385729 +378 716 3 880056735 +457 395 2 882551605 +467 1142 5 879532478 +210 482 5 887736739 +13 553 2 882399419 +286 1239 3 877535344 +146 328 3 891458079 +77 215 2 884752757 +215 196 4 891435548 +497 1555 2 879363780 +473 293 4 878157507 +58 741 2 892242159 +525 281 3 881086562 +301 196 4 882077836 +417 485 3 880949880 +183 210 3 891465869 +236 462 4 890115933 +276 331 4 890979062 +60 405 4 883326958 +8 229 5 879362356 +120 121 4 889490290 +26 302 5 891386368 +428 877 5 885943685 +533 50 5 882902988 +464 116 4 878355167 +497 549 4 879310445 +263 543 5 891298727 +437 97 3 880141286 +487 188 4 883445900 +102 771 2 888802508 +463 124 5 877385381 +469 194 5 879524116 +293 160 4 888907036 +478 81 4 889395977 +276 128 4 874792436 +487 549 4 884046879 +407 208 4 887832999 +416 783 3 886318768 +435 54 4 884132403 +424 127 4 880859493 +503 281 3 879454576 +58 171 5 884663379 +276 120 2 874787172 +505 422 3 889333975 +312 1126 4 891699455 +43 735 4 875981275 +451 292 3 879012684 +58 172 5 884305241 +53 568 4 879442538 +118 56 5 875385198 +407 230 4 875045371 +483 277 3 878952636 +327 222 2 887744357 +216 790 3 881428365 +437 42 3 880141129 +486 1202 4 879874995 +199 93 4 883782825 +94 1218 4 891722511 +447 286 2 878855082 +102 53 2 888801577 +178 405 3 882823905 +497 77 3 879362093 +487 541 3 884050711 +85 412 3 879453288 +379 575 2 882044649 +290 1285 3 880475565 +373 828 3 877111951 +202 481 1 879726642 +24 69 5 875323051 +407 1 4 876338278 +18 639 4 880131407 +264 217 3 886122446 +60 835 4 883326893 +236 685 2 890117308 +257 181 5 882050131 +44 678 3 878340887 +504 529 4 887832391 +106 280 2 883876680 +7 140 5 891353124 +514 302 5 885180556 +151 657 5 879524760 +377 98 5 891299009 +334 746 3 891548622 +254 28 4 886472369 +64 218 1 889739517 +43 217 2 883955930 +479 133 2 879461970 +363 58 3 891494962 +287 181 3 875333964 +416 931 3 886315822 +436 381 4 887769209 +479 405 4 879460236 +506 77 3 874874850 +290 926 3 880732538 +351 322 5 879481589 +380 670 1 885480187 +24 486 3 875322908 +478 369 3 889388429 +448 900 3 891887393 +457 114 5 882396868 +399 1139 4 882348974 +53 118 4 879443253 +296 61 3 884197287 +486 886 3 879874388 +151 275 5 879524443 +241 682 2 887249745 +418 899 5 891282706 +16 11 5 877718755 +371 117 3 877487052 +417 665 2 880952400 +43 1048 3 883956260 +267 550 4 878973047 +303 616 4 879484948 +8 228 5 879362286 +435 354 3 889722012 +348 291 4 886523790 +244 746 3 880606180 +497 99 3 879310021 +379 168 4 891674489 +521 69 3 884477727 +499 11 3 885599372 +151 603 5 879524641 +262 55 3 879791790 +344 280 3 884899815 +496 38 2 876068615 +188 5 4 875074266 +299 508 4 877878451 +487 161 5 883530702 +194 1041 2 879553591 +8 195 5 879362287 +432 1016 3 889416397 +200 982 2 891825589 +396 333 4 884645528 +454 686 2 888267280 +495 629 3 888636032 +270 257 4 876954223 +315 271 3 879799546 +308 469 5 887738104 +454 50 4 881959144 +476 1074 4 883365274 +416 684 5 893213405 +85 27 4 879827488 +347 460 3 881652888 +295 705 4 879517682 +260 288 3 890618476 +279 219 2 875736276 +133 313 3 890588524 +374 983 2 880936289 +13 527 5 882140252 +69 886 4 882027284 +251 313 5 886271472 +230 204 4 880484616 +283 49 4 879298333 +405 667 1 885548275 +308 430 4 887738717 +201 735 3 884113975 +339 508 4 891032189 +60 59 5 883326155 +390 319 5 879693561 +456 222 2 881371766 +152 720 5 882477356 +334 657 4 891545898 +524 1560 4 884636444 +397 22 4 885349476 +64 182 4 889738030 +123 286 5 879809053 +222 473 1 877563622 +183 226 3 891466350 +393 630 4 889728150 +53 546 4 879443329 +398 28 5 875660302 +256 210 4 882164443 +312 214 3 891699121 +409 166 4 881107992 +129 311 3 883244059 +215 203 3 891435266 +43 347 3 888177393 +102 29 1 888802677 +330 135 3 876546172 +474 481 4 887927153 +253 8 4 891628323 +532 132 5 893118711 +450 905 5 885945656 +109 64 2 880572560 +314 627 4 877888996 +287 426 3 875336743 +124 28 3 890287068 +474 244 4 887915646 +456 111 3 881371942 +493 79 5 884131287 +308 715 5 887740700 +346 369 3 874948890 +426 492 5 879441931 +487 679 2 883530724 +340 50 4 884990546 +246 24 4 884921345 +380 81 3 885478908 +466 315 5 890284231 +314 1471 4 877892430 +256 15 5 882150644 +343 177 4 876407252 +304 300 5 884968415 +452 234 3 875264355 +269 1397 4 891450575 +417 270 2 879646036 +7 677 3 891354499 +487 735 4 884042206 +433 333 2 880585133 +524 1154 1 884637914 +500 287 3 883865268 +486 718 3 879874449 +115 922 3 881170252 +471 1 4 889827881 +450 1479 3 882377479 +13 843 5 882399156 +495 133 3 888632888 +158 194 5 880134913 +385 169 5 880870205 +249 467 4 879572795 +382 180 5 875946830 +122 724 4 879270677 +324 260 5 880575277 +382 197 4 875946830 +497 56 4 878759659 +239 50 5 889179131 +417 943 3 879648761 +269 212 4 891447002 +159 319 1 880485290 +337 636 4 875236281 +500 1014 2 884527433 +141 313 5 884584271 +380 340 3 885481179 +447 484 5 878856457 +535 1 3 879617663 +221 407 2 875245100 +419 134 5 879435722 +524 234 4 884634877 +453 234 3 877561411 +455 257 4 879109733 +207 524 4 878104569 +145 410 4 875270616 +244 173 4 880605458 +459 147 3 879563435 +174 323 1 886434241 +317 748 5 891446843 +533 288 2 882901971 +429 185 4 882386006 +279 764 3 888425981 +345 294 3 884901497 +305 195 3 886323006 +520 283 4 885170516 +91 98 5 891439130 +158 399 3 880134595 +405 1108 1 885546069 +536 174 5 882359065 +460 322 3 882910722 +267 405 3 878970953 +7 100 5 891351082 +251 813 3 886272086 +401 762 2 891032662 +23 82 3 874787449 +382 14 3 875946055 +97 197 3 884239655 +513 472 4 885062636 +487 820 3 883444884 +523 186 3 883703495 +234 381 3 892335739 +454 56 3 888267590 +219 1014 3 892039611 +303 270 4 879466088 +486 125 3 879874970 +269 783 1 891451889 +118 135 5 875384591 +59 432 4 888204802 +431 300 4 877844248 +221 50 4 875244125 +524 942 4 884636980 +256 22 5 882164259 +286 737 4 877532419 +119 1260 5 874781547 +253 100 4 891628122 +178 97 5 882827020 +478 739 4 889398528 +151 770 4 879542527 +387 113 4 886479575 +215 50 5 891436543 +282 340 3 879949394 +389 451 2 880165881 +405 714 1 885546379 +434 1051 3 886724453 +469 134 5 879524062 +527 588 4 879456289 +169 331 5 891268491 +417 461 3 879647140 +514 748 2 875463906 +528 58 5 886101994 +316 730 4 880853775 +194 762 3 879539305 +394 31 3 880887152 +334 286 4 891544049 +416 13 5 893212623 +325 1232 1 891479228 +405 1571 1 885549463 +2 305 3 888550065 +181 1277 2 878963085 +426 616 4 879444787 +181 920 1 878962496 +213 185 5 878955501 +430 286 4 877225174 +459 864 4 879563435 +476 748 2 883365634 +25 143 3 885852529 +189 501 4 893265893 +405 971 1 885549464 +434 1095 5 886724940 +43 3 2 884029543 +480 347 3 891207605 +314 801 3 877892017 +60 582 4 883327664 +152 275 4 880148664 +442 710 5 883388576 +405 1200 1 885548785 +22 202 5 878886480 +239 961 5 889181093 +293 29 1 888907499 +507 117 3 889965997 +492 124 4 879969345 +16 947 4 877719454 +268 234 4 875309430 +500 827 2 883876904 +465 588 4 883531380 +524 479 4 884637314 +446 688 2 879786985 +455 1137 3 879109881 +455 727 3 879112561 +7 557 4 892132145 +330 210 5 876546866 +495 1110 4 888637147 +15 15 4 879455939 +94 509 5 885873159 +272 96 5 879454845 +87 144 4 879875734 +151 238 5 879542286 +130 98 5 875216507 +535 286 2 879617123 +346 184 1 874950463 +251 151 5 886272118 +109 77 4 880578388 +454 736 3 888266991 +59 423 5 888204465 +416 67 4 886318740 +437 480 4 881002345 +435 294 4 884130584 +476 328 4 883365684 +497 71 4 879309993 +308 201 5 887737334 +535 519 3 879617931 +130 939 4 876252041 +393 410 4 887744419 +276 959 4 874791695 +385 487 4 887670073 +484 234 4 891195687 +533 103 3 887032538 +286 588 5 877532131 +119 22 4 874781698 +458 86 5 886397679 +463 1117 1 877385954 +344 129 4 884899346 +439 282 3 882893859 +450 502 5 882469061 +398 274 3 875655841 +535 515 3 879619224 +502 890 2 883702945 +430 12 4 877226164 +92 620 3 875813224 +389 105 3 880614316 +239 499 5 889179808 +235 181 3 889655360 +99 125 4 885678840 +429 12 5 882386424 +279 978 1 889231898 +504 288 5 887831273 +469 10 5 879525373 +413 245 2 879969027 +177 200 4 880130951 +363 7 3 891495510 +253 343 4 891627815 +198 276 3 884205317 +438 280 5 879868423 +527 28 3 879456289 +271 703 3 885848559 +381 1117 4 892697574 +16 498 5 877719333 +472 720 5 875982096 +455 31 4 879111937 +384 313 5 891273683 +201 631 2 884140750 +454 272 5 888007255 +389 384 2 880089211 +487 69 4 883445859 +456 168 4 881373794 +393 465 4 887746916 +123 657 4 879872066 +416 879 3 892439224 +339 197 5 891033653 +297 258 5 874953892 +457 157 5 882553112 +262 1013 2 879791471 +293 1229 1 888907210 +130 929 4 876251160 +340 520 5 884991544 +451 1025 3 879012773 +339 227 2 891035524 +474 696 3 887916330 +489 343 5 891447913 +134 328 4 891732335 +533 275 4 887721848 +526 7 4 885682400 +75 427 4 884051921 +308 523 4 887737084 +324 749 3 880575277 +394 541 3 880889741 +429 1017 3 882385399 +267 810 3 878973568 +340 173 5 884990703 +75 304 2 884051610 +116 888 2 886309958 +262 582 4 879962517 +89 724 4 879460027 +387 176 3 886480446 +41 318 4 890687353 +387 455 4 886481105 +527 615 4 879456312 +358 529 3 891269464 +145 54 5 888398669 +500 1 4 883865021 +158 652 4 880134966 +393 356 3 889731088 +479 211 4 879461447 +504 276 3 887831790 +485 347 2 891040688 +389 234 4 879991081 +313 483 5 891016193 +405 1549 1 885548671 +487 1217 3 884025080 +10 480 5 877888943 +276 17 4 874791894 +59 508 5 888203095 +184 411 3 889908207 +313 1091 2 891030261 +450 792 4 882396050 +110 230 3 886988750 +404 678 4 883790400 +472 1248 4 875983427 +56 232 4 892676339 +334 371 2 891547283 +141 118 5 884585274 +524 423 4 884635358 +16 200 5 877722736 +269 659 4 891449406 +269 462 3 891447216 +70 161 3 884067638 +381 898 5 892697869 +90 427 5 891384423 +213 405 3 878870904 +358 268 3 891269077 +100 286 3 891375629 +181 1280 1 878961668 +152 161 5 882476363 +487 81 3 883531507 +160 202 4 876862077 +57 24 3 883697459 +116 900 4 888311676 +473 1142 5 878157299 +130 159 4 875802211 +519 1280 5 883250102 +436 400 3 887771924 +506 475 1 874862229 +54 291 1 891898613 +532 746 5 893119438 +391 276 3 877399780 +234 143 3 892079288 +184 401 3 889910418 +274 591 4 878945466 +301 47 4 882076936 +301 235 2 882074408 +427 688 5 879701326 +291 391 1 874835242 +218 712 3 877488902 +497 1042 3 879362178 +456 581 3 881375155 +243 423 3 879988587 +456 578 2 881375127 +533 328 4 887032063 +249 64 5 879572210 +262 785 3 879794359 +524 187 5 884634646 +246 1052 1 884924710 +533 595 2 887032451 +119 916 1 892564442 +427 292 2 879701127 +426 673 4 879442227 +70 313 4 884063469 +517 300 5 892660728 +532 769 2 888630531 +256 54 5 882164955 +110 586 3 886988536 +94 404 4 891721615 +398 159 3 875717020 +114 318 3 881259495 +479 616 4 879462062 +100 908 1 891375068 +527 963 4 879456030 +303 658 5 879484327 +343 229 4 876407340 +18 166 4 880129595 +121 628 3 891389037 +299 1050 4 878192721 +407 29 3 876344410 +64 179 5 889739460 +468 1168 2 875302155 +128 1048 2 879968858 +279 189 5 878082781 +95 506 3 888954552 +457 959 4 882549180 +198 121 3 884206330 +411 527 4 892845926 +320 288 4 884748277 +478 403 2 889398645 +537 28 3 886031438 +312 524 5 891699345 +497 228 3 879310762 +405 226 2 885547953 +256 1041 4 882165328 +254 768 3 886475004 +514 269 4 885180864 +216 215 5 880235120 +63 741 3 875747854 +327 715 4 887819860 +535 789 2 879618613 +479 489 5 879460844 +325 655 4 891479312 +328 172 4 885045528 +499 463 5 885599498 +6 482 4 883601203 +6 529 4 883601459 +215 300 3 891434733 +279 109 5 880869018 +21 436 4 874951858 +450 131 4 882377861 +210 821 3 887730532 +90 651 5 891384997 +535 836 5 879617746 +13 883 3 882140848 +374 741 3 880392717 +201 588 4 884113490 +391 334 5 877399745 +1 239 4 878542845 +85 153 3 879453658 +279 1087 2 891209189 +533 245 3 890659336 +504 77 4 887840681 +339 423 3 891033602 +257 198 3 880496822 +320 79 4 884749255 +512 1 4 888589126 +104 748 2 888442461 +466 882 5 890284231 +482 298 4 887644085 +90 306 4 891382267 +416 452 3 886319106 +347 404 4 881654846 +246 216 3 884920949 +305 286 4 886307828 +490 123 2 875428570 +145 257 5 875270932 +336 56 4 877757601 +490 764 1 875427993 +378 1407 3 880334329 +323 678 2 878738910 +234 474 4 892317967 +311 479 5 884365519 +303 340 5 879466088 +3 355 3 889237247 +21 976 1 874951483 +500 143 3 883875092 +332 1090 5 888360508 +308 522 3 887737484 +92 554 2 875907180 +38 188 2 892431953 +342 367 5 875319967 +341 259 3 890758051 +27 148 3 891543129 +103 250 4 880415918 +416 248 5 893213103 +378 1211 3 880333516 +453 298 4 877552641 +97 96 5 884239712 +194 50 3 879521396 +13 95 5 882140104 +279 1402 1 888462243 +370 183 4 879434937 +303 952 3 879467706 +65 63 2 879217913 +82 99 4 878769949 +82 740 2 884714249 +102 194 3 888803537 +533 582 3 879192278 +334 905 1 891547612 +195 413 3 885110849 +214 180 5 892668130 +360 306 4 880353584 +305 792 4 886323406 +311 357 5 884365104 +406 772 4 882480836 +250 179 4 883263374 +58 1105 2 884794758 +222 710 4 881059714 +537 526 3 886031720 +109 70 4 880578038 +505 195 3 889334096 +189 855 3 893265657 +497 161 5 879310730 +535 165 4 879617613 +504 693 4 887832741 +478 1521 3 889397343 +346 172 5 874947609 +303 508 4 879467260 +497 54 3 879362071 +7 27 4 891352692 +420 288 3 891357271 +21 301 4 874951054 +435 157 4 884132146 +497 501 2 879309993 +456 462 3 881373506 +269 518 4 891447815 +500 815 3 883865374 +373 385 3 877099016 +389 483 5 879991535 +407 291 4 876348681 +533 252 4 880402784 +181 982 1 878963205 +90 170 5 891383561 +118 513 5 875384751 +533 651 4 888845036 +447 111 3 878854954 +527 127 5 879456132 +435 338 2 887509306 +406 508 4 879539883 +472 288 5 875977682 +536 274 4 882318394 +514 609 4 875462826 +489 331 5 891366606 +405 627 1 885548877 +123 479 4 879872066 +276 158 3 874791932 +178 751 4 882823353 +145 566 5 875272010 +454 531 2 888266785 +36 358 5 882157581 +15 302 4 879455049 +109 1074 4 880583308 +216 82 4 880244446 +5 399 3 875635947 +437 217 3 880143695 +71 197 5 885016990 +327 502 3 887747134 +38 105 3 892434217 +534 1047 4 877808361 +295 125 5 879518528 +421 914 3 892241236 +508 223 4 883767361 +285 198 5 890595900 +427 1265 5 879701253 +435 128 3 884132184 +388 895 4 886438540 +435 38 2 884133509 +7 609 3 891352749 +385 871 1 879440986 +79 690 4 891271308 +405 702 1 885547407 +416 448 3 886316797 +405 643 1 885546336 +427 303 5 879701253 +518 14 3 876822923 +458 282 2 886396958 +342 124 4 875318267 +524 483 4 884634533 +200 179 4 884129029 +59 52 4 888205615 +532 348 4 886364825 +184 82 3 889909934 +504 419 3 887832643 +504 1135 4 887911854 +537 46 3 886031678 +313 430 5 891013620 +144 823 3 888104659 +272 42 4 879454939 +239 190 1 889178616 +145 450 3 885557660 +278 258 3 891295099 +87 502 5 879876524 +313 409 2 891030334 +459 252 4 879563506 +342 410 3 874984661 +408 347 3 889679761 +422 515 4 875129882 +506 88 4 874873944 +454 326 4 881958362 +497 217 4 879362382 +398 700 2 875736199 +279 1305 4 875313406 +260 882 5 890618729 +327 582 4 887822711 +511 271 5 890004879 +119 300 5 874774286 +293 302 4 888904092 +329 274 3 891656639 +449 276 5 879958705 +417 89 5 879647604 +291 1303 3 874835279 +299 529 4 877880852 +28 323 3 882826593 +484 255 3 882079980 +535 1093 4 879617931 +450 673 3 882396928 +416 917 4 893214332 +405 399 1 885547408 +468 132 5 875292134 +433 1598 1 880585865 +305 16 3 886324058 +425 98 4 878738186 +399 587 3 882351626 +452 517 2 875562846 +83 191 4 880308038 +491 657 5 891189306 +486 1514 4 879874663 +387 250 4 886480970 +18 781 3 880132188 +342 174 2 875319681 +406 206 1 879445735 +83 121 4 880306951 +144 87 5 888105548 +92 64 4 875653519 +408 539 1 889680018 +466 176 4 890284766 +379 527 3 880524860 +454 631 2 888267643 +507 323 5 889964809 +201 423 4 884112901 +442 1067 3 883388576 +184 20 4 889907771 +327 1073 2 887744241 +308 1126 3 887738268 +188 764 4 875072087 +233 527 5 877665324 +141 127 2 884584735 +469 1558 5 879524177 +274 282 5 878945788 +254 1469 3 886473929 +498 1426 3 881959103 +439 93 4 882893737 +291 763 4 874833841 +18 425 3 880130713 +51 603 3 883498728 +7 77 5 891353325 +130 31 4 875801801 +293 824 3 888905252 +262 473 2 879791216 +346 288 2 886273342 +223 924 1 891549975 +490 126 2 875427812 +194 9 4 879535704 +392 325 4 891037634 +454 427 4 881960173 +454 735 2 888267387 +26 1012 4 891386369 +275 1 4 875154310 +34 294 1 888602808 +407 1044 3 876348639 +469 173 4 879524178 +222 723 3 878184812 +450 56 4 882371645 +493 528 5 884132246 +200 89 5 884128788 +503 182 3 880472321 +332 597 5 887938486 +385 1428 4 879447181 +213 24 5 878870846 +214 172 3 891544390 +50 324 5 877052008 +271 602 3 885848886 +370 425 3 879434860 +450 940 2 882471737 +506 230 4 874873847 +533 450 5 879191713 +217 546 2 889070196 +445 147 2 891199974 +334 510 4 891628832 +378 182 4 880055239 +276 763 3 874787214 +92 800 3 875906802 +88 300 3 891037466 +373 4 4 877100232 +342 196 3 874984128 +151 378 4 879528520 +92 449 3 875812511 +18 132 5 880132437 +5 456 1 875636375 +474 72 3 887927457 +214 522 4 891544052 +180 153 1 877126182 +455 126 5 879172791 +201 582 5 884111873 +437 421 4 881001983 +153 265 4 881371032 +489 681 3 891366805 +428 300 5 885943713 +313 418 3 891014838 +313 840 2 891028360 +488 228 4 891294854 +318 869 3 884498461 +504 1415 3 887912335 +484 122 2 889974407 +347 252 2 881653176 +183 181 2 891463937 +373 208 4 877106773 +520 1051 3 885170585 +59 1050 2 888205188 +224 744 1 888103646 +443 258 5 883504617 +49 80 1 888069117 +14 750 3 891014196 +252 1 5 891456989 +220 305 4 881197771 +42 161 4 881108229 +103 255 5 880416423 +450 1192 5 887137066 +256 233 4 882164479 +357 820 4 878952288 +429 47 4 882384950 +406 179 5 879446718 +168 871 3 884287711 +466 748 2 890283592 +72 118 3 880036346 +457 380 4 882392854 +527 204 5 879455847 +453 156 5 877554908 +25 195 4 885852008 +393 89 3 887745973 +385 192 5 884586327 +435 1133 2 884133224 +254 265 3 886471695 +435 672 1 884133253 +363 859 4 891500462 +58 463 3 884305241 +537 602 3 886031634 +207 210 3 878191574 +180 733 5 877128388 +22 216 4 878886682 +373 110 3 877104086 +256 174 4 882164406 +504 28 4 887839810 +459 22 5 879563903 +495 53 1 888637440 +486 146 2 879875188 +437 748 4 880139631 +450 158 3 882471524 +485 307 3 891040967 +201 789 3 884112840 +16 510 4 877727280 +455 584 4 879111528 +43 317 2 883955319 +454 568 4 888266906 +44 429 4 878347791 +177 628 2 882143736 +457 428 5 882553113 +503 313 5 884637568 +387 769 1 886481851 +110 325 3 886987561 +450 203 4 882396799 +23 780 1 874788388 +127 62 5 884364950 +128 218 3 879969244 +497 562 2 879310941 +133 749 4 890588720 +13 92 3 882397271 +343 508 5 876403514 +500 172 2 883873640 +7 405 3 891353290 +464 258 5 878354626 +348 323 5 886522579 +268 328 1 876513643 +391 462 4 877399588 +59 194 3 888204841 +311 651 4 884364623 +94 97 4 891721317 +230 427 5 880484501 +497 168 5 878760023 +297 117 4 874954497 +345 588 3 884992100 +332 322 4 887916365 +450 193 5 882372027 +534 455 5 877807816 +498 489 3 881956140 +208 739 4 883108873 +374 143 2 882159114 +275 416 3 880314991 +405 569 1 885546680 +110 802 3 886988793 +11 24 3 891904016 +389 131 3 880087739 +399 633 3 882347019 +104 508 2 888465201 +504 972 3 887910552 +409 514 5 881107310 +416 972 4 891476265 +474 11 5 887924571 +314 993 5 877886279 +328 589 4 885046244 +269 1006 3 891447409 +246 77 2 884921839 +497 655 4 878759862 +234 131 3 892334680 +328 649 3 885047417 +109 452 2 880583753 +425 474 4 890347138 +405 41 1 885547735 +405 70 3 885545912 +430 98 5 877226365 +533 724 4 888347691 +456 100 3 881372366 +95 94 5 880573288 +73 289 2 888792410 +405 1182 1 885547557 +497 105 2 879309836 +234 842 4 892334045 +49 692 1 888069040 +326 230 3 879876861 +344 459 4 884899741 +487 215 4 883446027 +489 302 5 891448109 +447 281 3 878854857 +56 1035 4 892910268 +64 183 5 889737914 +500 529 4 883874558 +85 1170 3 879456350 +11 580 5 891905222 +401 328 4 891031723 +2 14 4 888551853 +305 223 4 886322758 +354 423 4 891217575 +346 959 2 875260577 +99 845 3 885679183 +537 682 1 886029083 +181 760 1 878963418 +514 179 4 875463468 +450 612 4 882396564 +445 64 2 890987771 +13 292 5 882140867 +152 15 5 880148843 +348 546 3 886523256 +505 623 3 889333365 +374 872 5 880392268 +508 150 5 883767325 +246 413 4 884923922 +506 510 5 874873067 +321 530 4 879440109 +234 163 3 892335951 +363 895 3 891493840 +168 294 4 884286862 +5 168 3 875636691 +347 468 2 881654825 +62 715 2 879375912 +394 56 5 880887406 +488 662 4 891294896 +489 908 5 891446623 +406 211 5 879445936 +20 763 1 879668476 +476 33 4 883364475 +216 402 2 881432430 +442 482 3 883389747 +527 646 5 879455792 +230 1 5 880484370 +523 154 4 883702125 +96 216 4 884403095 +222 227 3 878184171 +486 270 2 879874064 +500 522 4 883875041 +537 557 3 886032245 +121 595 2 891390521 +252 410 5 891456989 +201 124 3 884112991 +271 864 3 886106165 +406 529 2 879446108 +393 870 3 887745454 +64 203 4 889737851 +269 53 1 891451111 +137 243 4 881432790 +527 64 3 879456030 +451 937 4 879012684 +291 232 4 874835198 +291 128 4 874835062 +233 223 4 875508225 +369 172 5 889428642 +514 83 5 875462568 +406 652 2 879793179 +172 772 1 875537099 +12 195 4 879959670 +451 299 1 879012721 +417 72 4 879649107 +254 423 5 886472799 +271 89 3 885848518 +487 73 3 884050038 +298 257 4 884126240 +82 211 4 878769815 +506 1014 3 880908472 +363 448 5 891497953 +102 235 3 892993605 +87 1041 4 879877007 +363 29 1 891498365 +488 333 4 891293606 +440 271 5 891550404 +541 756 4 883866028 +405 85 4 885547407 +537 504 3 886030652 +466 682 1 890282957 +528 358 2 888520491 +524 410 2 884832742 +497 79 4 879310730 +100 690 4 891375629 +249 1 4 879572210 +504 1004 4 887910023 +486 331 2 879874112 +286 707 5 877531975 +442 1183 3 883390674 +293 482 4 888906096 +82 462 4 878769992 +1 194 4 876892743 +7 391 3 892132943 +109 239 4 880578632 +407 345 4 884614729 +459 993 3 879563146 +393 404 3 889728713 +222 214 4 878182453 +163 272 4 891219977 +121 427 4 891388286 +254 678 3 886470859 +481 42 3 885828426 +291 236 4 874834128 +454 490 2 888266754 +363 603 4 891495109 +343 943 4 876406552 +160 474 4 876857977 +533 673 3 879439143 +382 7 2 875945837 +538 164 3 877108631 +374 550 5 880938965 +90 19 3 891384020 +381 682 2 892697982 +511 299 2 890004827 +450 1054 2 882812495 +293 732 3 888906516 +486 336 2 879874218 +405 548 1 885549095 +301 501 3 882078040 +537 1065 1 886030738 +59 176 5 888205574 +327 651 4 887745744 +343 180 5 876404613 +453 59 2 888202258 +429 264 3 882387551 +447 483 5 878855818 +60 95 4 883327799 +422 1199 3 875129975 +512 198 5 888579920 +279 395 4 875659329 +533 322 4 879193106 +421 174 5 892241362 +221 240 4 875244352 +387 1091 1 886483670 +488 200 2 891294606 +515 288 4 887658604 +360 170 5 880355485 +372 447 5 876869445 +200 195 5 884128822 +15 280 3 879456167 +504 443 3 887910511 +280 1041 5 891702544 +394 222 4 881132876 +325 191 3 891478408 +262 69 4 879793479 +417 286 5 879646286 +492 97 3 879969210 +450 134 3 882373597 +109 739 4 880579107 +64 269 5 879365313 +268 1091 2 875744895 +497 257 4 879309648 +305 215 2 886323464 +207 566 4 875509434 +532 655 5 892861435 +423 328 1 891394874 +303 151 5 879484534 +299 197 3 878192039 +373 163 4 877098891 +509 680 1 883591252 +236 151 2 890116964 +82 81 3 878770059 +409 496 5 881107817 +326 44 1 879875852 +392 344 4 891037490 +486 121 3 879875188 +508 13 4 883777366 +394 385 5 880889010 +524 702 4 884636262 +535 171 3 879618414 +10 527 4 877886597 +455 222 3 878585775 +361 53 2 879441351 +334 1041 3 891549667 +421 302 4 892241236 +94 183 5 891720921 +93 1 5 888705321 +506 520 5 878044852 +394 144 5 880886978 +267 408 5 878974783 +481 596 4 885828773 +181 360 1 878962005 +130 665 3 876252175 +205 875 2 888284532 +339 134 5 891033044 +474 199 5 887927456 +435 1044 4 884132515 +357 471 5 878951498 +94 41 3 891723355 +524 193 4 884636498 +535 506 5 879617819 +389 411 4 880088659 +246 572 3 884923127 +465 190 4 883530054 +240 245 4 885775831 +457 20 5 882393967 +373 144 3 877098949 +145 825 4 875271477 +64 195 5 889737914 +458 234 4 886397808 +393 1014 3 887745086 +327 172 4 887743986 +401 707 2 891032868 +84 866 4 883452174 +473 268 5 878156932 +435 710 4 884131267 +504 96 4 887840098 +200 54 4 884129920 +200 98 5 884128933 +256 117 5 882150313 +293 182 5 888905481 +277 742 4 879543845 +477 255 5 875941763 +276 1407 1 874977513 +28 200 2 881961671 +478 288 5 889388862 +537 150 3 886029974 +180 790 1 877127572 +537 203 4 886031437 +537 177 3 886031506 +95 179 3 880570909 +455 277 4 879109565 +59 489 4 888205300 +514 344 3 891900164 +12 202 4 879959514 +363 707 3 891494906 +219 855 5 889452619 +523 516 5 883702863 +429 179 3 882385012 +537 507 4 886030966 +126 311 4 887855173 +293 15 3 888904777 +499 213 3 885598989 +524 179 5 884635204 +458 952 2 886395119 +457 529 4 882397763 +45 50 5 881007272 +345 365 2 884993760 +370 114 3 879434587 +391 71 3 877399236 +236 275 3 890116499 +495 162 3 888633351 +145 379 3 875272299 +466 27 3 890285113 +458 182 4 886397771 +53 96 4 879442514 +351 880 2 879481460 +406 235 4 879540330 +42 219 1 881109324 +513 546 4 885062601 +298 133 3 884125093 +89 137 1 879441335 +455 1265 3 879108997 +125 41 2 892838510 +98 322 3 880498586 +90 18 3 891383687 +426 657 5 879442160 +535 662 3 879618414 +234 546 1 891227851 +246 1411 2 884924026 +457 64 5 882396868 +521 153 4 884478086 +503 153 2 880472250 +220 294 4 881197663 +442 403 4 883390466 +445 1528 2 891200355 +425 562 1 878738385 +435 255 3 884134290 +56 376 3 892911420 +425 597 1 878739095 +499 427 5 885599474 +393 56 2 887746015 +189 24 4 893264248 +532 412 2 874795951 +269 274 1 891450901 +354 604 4 891217755 +75 408 4 884050046 +194 414 3 879522240 +117 546 3 881009758 +406 411 4 879540199 +445 881 1 891199510 +154 482 4 879138831 +142 463 3 888640489 +450 99 4 882376803 +467 248 3 879532651 +185 276 4 883524475 +8 684 4 879362356 +380 512 3 885479355 +469 923 5 879523891 +299 275 4 877877535 +301 28 4 882076264 +542 206 2 886532602 +358 213 5 891269827 +500 319 4 883864793 +94 392 3 891722646 +291 79 5 874834799 +530 535 4 886198575 +185 111 4 883524529 +101 255 4 877137015 +99 358 2 885678520 +376 181 4 879454598 +255 281 1 883216902 +296 199 5 884197193 +320 568 4 884749327 +498 11 3 881956576 +450 607 5 887135753 +416 473 2 876697387 +521 100 3 884475872 +532 692 5 893119336 +21 261 1 874951006 +130 79 5 875217392 +217 79 5 889069741 +496 1401 3 876065499 +535 285 4 879619144 +67 24 4 875379729 +141 1283 3 884585168 +125 109 3 892838288 +59 149 4 888203313 +355 286 5 879485423 +454 215 4 881959917 +537 312 3 886029211 +501 127 5 883347773 +308 512 5 887736584 +9 690 1 886959344 +194 230 1 879535548 +87 781 5 879876524 +496 1444 1 876066465 +249 228 4 879572496 +144 476 2 888104625 +524 928 4 884323551 +466 550 3 890284903 +250 475 4 878089436 +436 1178 3 887771825 +164 370 5 889402443 +407 229 3 876338691 +178 298 2 882823905 +144 258 4 888103371 +416 12 5 893212572 +268 249 4 875742437 +399 747 5 882345053 +203 276 4 880434810 +487 194 5 883446322 +514 150 3 886189467 +339 203 4 891032466 +269 81 3 891448323 +279 139 3 890780864 +339 208 4 891032827 +195 152 3 890589490 +389 435 4 880087073 +363 849 2 891498365 +268 1037 2 875745255 +94 125 1 891721851 +360 205 5 880356240 +13 419 3 882398814 +95 649 4 880571678 +7 56 5 891351432 +58 732 3 884305321 +398 715 2 875736732 +472 374 2 875982922 +405 1558 1 885549506 +401 724 4 891033319 +312 671 5 891699182 +178 92 3 882827803 +234 610 4 892079769 +343 302 4 876402390 +308 71 4 887739257 +433 294 3 880585271 +339 735 4 891034717 +405 73 5 885547313 +495 163 5 888633277 +346 293 3 875000499 +393 274 4 887744549 +65 778 4 879216949 +537 206 1 886031720 +60 736 5 883327923 +392 488 4 891038978 +390 742 4 879694198 +497 174 4 879310705 +406 4 2 880131792 +332 370 2 887938849 +21 748 1 874950889 +83 1047 2 891182319 +498 302 3 881953659 +380 61 4 885478193 +130 407 2 876251388 +254 210 5 886472172 +429 1033 1 882387350 +255 447 3 883216599 +526 269 5 885681886 +62 729 3 879375414 +158 129 5 880132383 +293 252 2 888905086 +525 829 2 881086393 +57 249 5 883697704 +405 39 1 885546155 +234 140 2 892334766 +514 558 4 875318114 +512 318 5 888579569 +95 282 4 880573506 +458 293 5 886396767 +455 25 3 879109110 +58 512 3 890770101 +541 654 3 883875215 +194 182 3 879521475 +458 317 5 886397155 +445 959 5 891200869 +276 99 4 874792907 +215 288 2 891434563 +441 15 3 891035699 +207 237 4 877878342 +495 616 4 888635050 +250 270 4 883263374 +512 11 5 888579520 +5 50 4 875635758 +405 517 3 885547177 +115 96 3 881172117 +279 455 5 877236424 +236 56 5 890116254 +252 276 5 891456877 +322 23 5 887314417 +478 350 1 889387418 +24 176 5 875323595 +36 289 2 882157356 +242 331 5 879741340 +344 487 5 884900791 +523 242 5 883699464 +95 356 4 880571117 +489 682 4 891366606 +311 12 4 884364436 +135 234 4 879857797 +373 186 5 877099178 +318 376 3 884498314 +82 28 3 878769815 +339 29 3 891035759 +442 156 4 883391221 +417 1210 2 879649044 +295 738 4 879518546 +452 204 3 875275815 +524 127 5 884634533 +459 597 3 879563270 +537 570 2 886031831 +521 230 3 885254250 +354 14 4 891216575 +195 500 4 876617344 +49 13 3 888068816 +222 845 3 877563530 +255 982 2 883217030 +399 214 4 882344722 +325 961 4 891479312 +386 117 5 877655028 +474 1123 4 887923924 +178 249 3 884836855 +457 96 5 882553113 +95 63 3 880572218 +378 277 4 880044609 +412 56 5 879717071 +436 172 3 887768945 +222 132 2 878181829 +505 271 4 888631208 +351 343 3 883356591 +472 97 3 875981281 +318 628 4 884494757 +542 396 4 886533112 +60 153 3 883326733 +387 156 5 886484336 +405 1575 1 885549407 +399 975 2 882344974 +518 763 1 876823994 +393 423 3 887746849 +92 504 3 875653050 +487 294 4 883440572 +297 298 5 874954814 +164 866 5 889402121 +363 298 5 891499411 +184 25 4 889908068 +30 304 4 875988548 +112 323 3 884992651 +537 475 4 886029727 +187 214 4 879465632 +447 85 4 878856526 +311 8 4 884364465 +378 631 4 880045652 +537 134 5 886030862 +36 333 4 882157227 +527 1109 3 879455792 +141 279 1 884584817 +430 117 3 877225484 +197 39 2 891409982 +442 628 4 883391221 +532 1119 5 893119415 +494 107 4 879541405 +498 228 2 881961627 +154 191 4 879138832 +269 1011 4 891446246 +325 23 5 891478276 +532 345 4 884594358 +276 603 5 874795613 +271 570 3 885849742 +295 527 4 879517964 +545 554 3 879899497 +308 357 4 887738151 +399 432 3 882348283 +181 1132 1 878963342 +363 571 1 891498964 +309 334 4 877370356 +119 11 5 874781198 +506 463 3 874873157 +128 245 2 879966524 +463 221 5 877385180 +537 1085 4 886030416 +382 504 3 875946907 +497 1016 4 879310604 +253 685 2 891628884 +233 197 5 877663303 +402 529 4 876266775 +479 144 4 879461741 +459 1040 2 879563701 +532 96 5 892867296 +361 150 2 879440345 +405 1159 1 885549407 +44 71 3 878347633 +455 245 3 878585344 +391 294 2 877398619 +535 8 4 879618288 +429 602 5 882386628 +450 127 5 882373155 +416 588 5 893213644 +312 684 5 891698664 +223 682 4 891548828 +463 14 1 890453075 +361 504 4 879441215 +109 71 4 880578066 +174 111 5 886433898 +299 432 3 877880612 +447 447 3 878855724 +293 1248 2 888907527 +41 175 5 890687526 +62 238 5 879373568 +506 176 5 874873892 +52 237 4 882922227 +59 1119 4 888206094 +207 5 3 880839802 +521 288 3 884475470 +72 664 3 880037020 +237 9 4 879376730 +292 298 4 881103977 +379 398 1 880525638 +151 31 3 879524713 +276 100 5 874786605 +393 473 3 887745135 +514 4 4 875463440 +293 546 1 888904927 +94 83 4 885873653 +254 449 5 886475446 +58 175 5 884663324 +436 821 4 887769733 +486 220 3 879875441 +62 174 4 879374916 +206 691 1 888180081 +301 373 4 882079334 +494 194 4 879541298 +308 198 3 887739172 +193 541 1 889125976 +545 132 4 884134519 +44 231 2 878347915 +474 618 4 887927457 +356 316 4 891406372 +457 232 4 882397666 +144 333 3 888103371 +429 223 4 882385034 +506 97 4 874873374 +399 1090 2 882345212 +537 143 1 886031438 +233 8 3 877663612 +389 173 3 880087003 +506 402 4 877539905 +516 191 4 891290685 +504 234 3 887838740 +303 1510 3 879485659 +289 222 2 876789463 +450 428 4 887660722 +500 216 4 883873556 +405 1274 1 885548137 +344 202 4 884901180 +152 785 5 886535773 +479 54 3 879462121 +326 72 2 879877264 +353 326 2 891402444 +359 472 4 886453402 +151 561 3 879543342 +234 1044 2 892336194 +308 448 3 887740866 +532 338 3 879931705 +504 133 5 887832593 +344 647 4 884814401 +259 15 3 881378653 +482 257 4 887644063 +405 720 1 885546487 +453 416 2 888206132 +495 566 4 888635144 +201 438 1 884114813 +527 207 4 879455873 +454 837 2 888267315 +60 229 4 883327472 +95 779 3 880572288 +368 217 5 889783562 +15 930 2 879456381 +393 138 3 889731793 +389 69 5 880087345 +244 458 3 880604405 +279 190 3 875307407 +274 100 5 878945404 +505 651 3 889333598 +339 151 4 891033676 +254 227 4 886474806 +279 150 3 886019867 +474 42 4 887923923 +345 382 4 884992725 +539 382 5 879787825 +531 905 4 887049166 +380 435 3 885479124 +378 469 5 880046069 +151 517 2 879542588 +435 21 4 884134134 +290 484 3 880474174 +534 926 4 877807780 +128 82 5 879968185 +347 470 5 881654301 +536 2 4 882360227 +186 121 2 879023074 +43 778 5 883955363 +493 527 5 884132037 +410 886 2 888627018 +399 384 2 882345698 +399 234 3 882343294 +311 191 4 884364764 +545 222 4 879899157 +207 696 3 877751310 +18 588 4 880131201 +399 195 2 882342669 +293 460 3 888905005 +481 524 5 885829045 +401 1011 3 891032367 +450 378 5 882373995 +474 1172 4 887924469 +533 274 4 885305541 +45 596 3 881014015 +454 96 4 888266600 +300 876 5 875650105 +197 435 5 891409935 +456 523 4 881373353 +521 72 3 885254323 +249 789 5 879572911 +130 237 5 874953621 +532 301 4 874999563 +493 1278 5 884130215 +465 64 5 883530088 +84 543 5 883453713 +416 354 4 893214333 +287 4 4 875336652 +90 285 5 891383687 +295 421 4 879517802 +276 916 4 892436298 +151 1070 4 879524174 +246 993 3 884920770 +6 510 4 883600785 +466 269 2 890282759 +347 17 4 881654635 +59 673 5 888204802 +399 412 2 882352468 +187 65 5 879465507 +336 90 5 877757062 +458 307 4 889323481 +284 539 2 885329821 +458 1048 4 886395119 +132 523 4 891278996 +301 133 4 882077142 +198 208 3 884208571 +314 161 5 877888168 +233 91 3 876812281 +435 351 2 887509368 +190 823 2 891626040 +151 566 3 879528890 +152 354 3 890322242 +18 435 4 880130890 +271 135 4 885848373 +407 290 3 875042865 +291 1077 4 874834963 +363 271 4 891493840 +479 255 2 879460192 +240 873 2 885775857 +5 408 5 878844495 +514 1 5 875309276 +532 235 3 887041328 +498 1103 4 881957847 +13 79 3 882139746 +437 1075 4 881002374 +38 1035 5 892431907 +69 245 1 882027284 +442 12 4 883390912 +371 197 4 877487364 +211 457 4 879437184 +13 674 3 882396955 +104 316 4 888442461 +290 167 2 880475807 +270 7 4 876954004 +534 117 5 877807973 +221 402 2 875393426 +457 134 5 882396832 +404 300 4 883790749 +474 591 3 887915366 +44 69 4 878347711 +201 1224 2 884140891 +514 11 4 875318082 +542 648 4 886532950 +486 1589 3 879874515 +405 588 2 885548785 +293 133 3 888906045 +81 150 3 876533619 +193 1 4 890859954 +244 1132 4 880605132 +187 197 4 879465597 +94 750 4 891725501 +312 486 5 891699655 +206 1022 1 888179980 +533 475 1 879192500 +299 514 5 877881229 +308 1456 4 887739056 +547 328 4 891282757 +201 129 4 884114471 +392 270 4 891037437 +219 71 1 889452455 +496 746 3 876066633 +321 499 3 879440393 +337 125 4 875185574 +543 210 3 875721967 +303 328 3 879466166 +416 326 5 893214041 +367 145 3 876690077 +239 427 5 889180888 +6 493 5 883601713 +178 729 4 882827020 +201 1070 5 884111677 +269 1188 1 891451857 +82 283 2 884714164 +313 655 4 891014474 +533 122 1 879366118 +500 421 4 883875303 +497 268 4 878759399 +178 876 2 886678484 +406 168 3 879445642 +374 963 5 883629108 +108 127 4 879879720 +293 651 3 888905865 +10 274 4 877889333 +228 938 1 889387173 +393 95 4 889555295 +32 1023 3 883717913 +198 298 1 884204993 +406 468 1 879446361 +72 9 5 880035636 +15 866 4 879456288 +429 428 4 882386942 +437 674 3 880143714 +246 254 1 884924710 +398 85 4 875718731 +7 62 3 891354499 +256 794 4 882165135 +458 237 4 886394623 +290 629 3 880474716 +378 217 3 880332683 +12 242 5 879960826 +279 529 3 875308843 +339 195 3 891032576 +334 425 4 891548835 +59 135 5 888204758 +487 227 3 883531279 +527 99 3 879456186 +430 164 3 877226323 +254 71 3 886472737 +55 118 5 878176134 +409 855 4 881108246 +476 63 3 883365274 +271 441 3 885849648 +37 147 3 880915749 +207 319 3 879664891 +399 1393 3 882340421 +456 449 3 881375226 +58 189 3 884304790 +217 56 5 889069709 +425 325 3 878737684 +416 156 5 893212895 +423 696 3 891395759 +271 651 4 885848584 +455 97 5 879112436 +73 64 5 888625042 +266 275 5 892257831 +421 176 5 892241422 +435 111 3 884132777 +371 22 5 877487134 +243 1148 3 879988723 +21 406 1 874951293 +520 269 5 885168591 +213 942 4 878955533 +346 156 4 874948139 +416 916 3 893141069 +402 696 4 876267014 +246 81 5 884921638 +184 483 5 889908630 +537 844 4 886029692 +244 162 4 880606993 +416 627 5 893213918 +405 51 1 885546577 +533 303 4 893160944 +405 1425 1 885547557 +62 472 2 879373152 +474 183 5 887924619 +454 133 4 881959652 +508 239 2 883777257 +460 146 4 882912370 +533 847 3 880402996 +24 729 5 875323475 +81 121 4 876533586 +263 58 4 891299264 +541 28 4 883864739 +98 88 3 880499087 +533 218 2 879191652 +347 31 5 881654321 +416 87 5 893212484 +324 150 4 880575412 +233 204 5 880923202 +542 318 4 886532602 +227 1007 4 879035158 +399 143 5 882344638 +130 313 5 884623736 +234 195 2 892078936 +280 771 3 891702122 +253 15 4 891628019 +457 717 3 882395894 +401 316 5 891031756 +393 622 4 889555074 +479 523 4 879460894 +184 285 5 889907771 +311 31 4 884364570 +136 318 5 882848820 +488 243 3 891293400 +59 741 4 888203175 +334 423 5 891545821 +426 435 3 879444604 +479 50 4 879460160 +178 654 3 882827506 +18 213 5 880131201 +495 581 5 888635655 +222 396 1 878183381 +416 720 4 886318128 +428 323 3 885943869 +234 133 3 892334680 +221 732 4 875246330 +527 210 4 879455924 +401 197 4 891033417 +442 1098 4 883388237 +330 660 5 876546752 +504 25 4 887831419 +57 318 5 883698580 +151 154 4 879524642 +409 318 4 881107943 +176 325 3 886047375 +449 127 5 879958572 +455 428 4 879111268 +264 123 4 886122952 +456 286 3 887165765 +23 418 4 874786037 +416 985 3 876697165 +416 812 4 893212623 +548 273 5 891044411 +535 182 3 879617574 +307 419 4 877122115 +435 470 2 884131661 +268 1054 1 875744051 +354 32 3 891217929 +245 756 3 888513425 +13 849 1 882397833 +459 278 4 879563270 +405 1074 3 885546636 +217 373 2 889070307 +480 510 4 891208460 +474 237 4 887915366 +548 690 3 891042475 +178 280 4 882824592 +537 318 4 886030707 +416 98 5 893213644 +347 763 5 881652837 +532 938 3 892519553 +486 1093 4 879874692 +374 465 5 882158849 +457 15 4 882393688 +326 433 2 879875644 +104 181 5 888465972 +537 874 3 886029083 +486 1079 2 879875347 +201 546 2 884140891 +305 317 4 886323713 +268 72 3 875743831 +454 685 3 888267198 +320 1215 1 884749097 +325 654 4 891478276 +279 124 3 878261977 +318 763 3 884494897 +230 82 5 880485311 +145 356 4 875272299 +297 160 1 875238853 +268 1231 2 875744228 +121 313 5 891390013 +342 286 4 874984002 +507 682 5 889964620 +117 173 5 881011697 +450 294 4 882370316 +233 129 3 876374463 +263 222 4 891299573 +532 690 4 876696258 +435 1204 3 884132100 +292 209 5 881103874 +178 265 5 882826394 +307 135 4 877122208 +69 273 3 882072803 +334 488 5 891546231 +546 413 4 885140808 +269 931 1 891451754 +398 491 5 875718954 +508 502 4 883776778 +468 182 5 875292320 +263 498 5 891298046 +472 743 4 883904504 +13 339 3 882140718 +381 102 2 892696130 +361 673 4 879441286 +358 127 1 891269117 +375 185 5 886621950 +465 395 1 883532120 +7 29 3 891353828 +50 276 2 877052400 +130 974 4 876250932 +62 1134 2 879372936 +214 475 5 892668153 +32 271 3 883709953 +70 393 4 884068497 +533 161 4 879439465 +144 288 2 888103509 +36 875 3 882157470 +151 131 5 879525075 +401 272 3 891031508 +238 845 3 883576424 +429 448 3 882386006 +137 476 1 881433524 +180 684 5 877442058 +487 95 4 883446872 +466 357 4 890285706 +8 435 5 879362233 +486 285 5 879874482 +524 527 5 884634785 +201 505 3 884113772 +425 1597 3 878738596 +373 142 3 877111362 +548 636 4 891044538 +465 584 3 883531325 +338 175 4 879438762 +45 411 3 881015657 +26 14 3 891371505 +42 202 5 881107687 +158 985 4 880134261 +328 540 3 885048730 +452 161 5 885816915 +262 131 5 879961282 +274 69 5 878946644 +523 393 5 883702411 +409 89 5 881107539 +416 70 5 893213019 +59 462 5 888205787 +445 748 1 891199458 +352 385 4 884289760 +504 420 3 887840560 +59 403 5 888206605 +435 402 3 884131996 +492 511 5 879969879 +393 443 3 887745624 +537 687 1 886029526 +399 95 3 882343068 +450 469 4 882396153 +463 150 2 889943683 +327 919 5 887820828 +264 873 3 886121517 +495 501 3 888634536 +374 1134 4 880392846 +157 289 4 886889876 +103 257 3 880415892 +223 926 4 891549792 +524 467 4 884635287 +406 174 4 879445809 +468 98 5 875288196 +478 23 2 889388562 +188 157 3 875072674 +393 364 2 889731139 +399 38 2 882345164 +109 373 5 880583241 +380 306 4 885477802 +45 13 5 881012356 +454 228 3 881959960 +417 579 2 879649467 +339 180 5 891032793 +459 123 3 879563312 +222 941 3 881059736 +307 529 4 877381142 +292 180 5 881103652 +432 844 4 889415947 +474 171 4 887926804 +532 763 5 892866230 +264 185 5 886122261 +141 298 5 884584790 +435 80 2 884133610 +404 332 4 883790749 +533 82 4 879439204 +405 796 3 885547447 +532 532 3 887040858 +408 358 4 889680045 +385 144 3 879443102 +56 117 5 892679439 +299 474 5 877880474 +476 42 4 883364295 +301 746 3 882075774 +467 124 5 879532534 +537 663 3 886031540 +181 1097 1 878962720 +437 654 5 880141041 +327 865 5 887745774 +398 497 3 875717407 +110 41 4 886989399 +210 181 5 887731082 +249 237 5 879640361 +512 1459 4 888579569 +399 760 1 882341554 +535 181 4 879617818 +548 276 3 891415512 +147 937 3 885593997 +389 23 4 879991147 +545 399 4 879900794 +222 549 4 878184055 +503 88 4 880383468 +522 100 5 876960824 +330 197 5 876546071 +458 694 4 886396140 +201 95 3 884114015 +409 609 3 881108829 +378 403 4 880046408 +327 676 3 887746686 +176 741 3 886048145 +527 285 5 879456363 +391 544 4 877400092 +312 510 5 891699490 +254 588 3 886473701 +25 265 4 885853415 +7 552 4 891354531 +296 528 5 884197068 +393 117 4 887745575 +410 328 3 888626786 +433 12 5 880585803 +339 1110 4 891034657 +405 1579 1 885549408 +287 121 4 875334494 +496 42 5 876066676 +222 655 4 878182210 +393 479 4 889555295 +312 414 3 891699626 +184 97 2 889908539 +135 230 3 879857843 +542 214 3 886533452 +532 492 4 888637105 +456 133 3 881373084 +13 585 4 882141814 +26 546 2 891371676 +470 952 3 879178884 +508 73 3 883777329 +399 566 4 882344871 +521 241 4 885254006 +406 519 4 879445378 +129 678 1 883245452 +268 381 3 875309344 +417 685 1 879646570 +522 96 3 876961076 +7 600 4 891354090 +411 195 3 891035239 +213 257 4 878870846 +276 800 3 874792745 +174 739 5 886513729 +500 175 5 883874341 +497 1407 3 879362609 +456 61 4 881373228 +535 39 4 879617574 +487 196 5 883446830 +243 215 3 879988046 +484 422 3 891195825 +387 806 1 886483824 +450 208 5 882377358 +100 874 1 891374868 +394 433 4 880886919 +181 291 3 878962997 +311 732 4 884365617 +385 658 2 879445454 +506 603 5 874873198 +227 934 2 879035874 +288 234 4 886374473 +498 32 4 881956363 +184 215 4 889909812 +505 566 3 889334503 +217 541 3 889069974 +194 529 4 879523575 +443 327 4 883504593 +345 278 3 884991505 +499 750 5 885597747 +13 712 4 882141872 +221 79 4 875245715 +479 118 3 887064767 +450 290 4 882399509 +160 770 4 876861878 +533 405 3 879192793 +518 547 3 876823645 +10 333 4 877886359 +454 250 4 881959238 +454 566 4 888267087 +97 205 2 884238817 +490 15 1 875427739 +435 196 4 884131597 +85 134 5 879454004 +279 1499 4 890451408 +458 9 5 886394373 +429 77 3 882385705 +65 28 4 879216734 +504 295 4 887831567 +343 1073 4 876405771 +70 168 4 884065423 +521 202 3 884478530 +405 1112 2 885546530 +498 538 1 881962988 +487 260 2 883441026 +510 325 1 887667575 +413 275 5 879969557 +329 137 5 891655812 +303 50 5 879466866 +417 325 2 880949231 +327 772 3 887822646 +200 325 5 876041719 +517 1016 1 892607194 +535 212 4 879618613 +339 5 3 891034953 +389 954 4 880614031 +399 420 3 882347783 +137 260 3 881432735 +498 12 4 881957195 +378 632 5 880055564 +384 289 5 891283502 +525 411 3 881086612 +132 12 4 891278867 +534 237 4 877808002 +551 684 5 892783212 +538 963 4 877363775 +521 161 2 885254116 +181 413 2 878963241 +174 100 5 886433788 +338 216 4 879438196 +49 420 4 888067031 +498 515 4 881956953 +373 409 2 877107235 +95 275 3 879192819 +524 168 3 884634995 +293 810 1 888907674 +275 162 3 880315276 +295 417 5 879518474 +494 126 4 879541476 +417 386 3 879648382 +311 218 4 884366363 +277 925 4 879543592 +116 310 4 886309549 +328 232 3 885047670 +59 11 5 888205744 +437 91 3 880143315 +551 578 5 892784672 +378 720 2 880056798 +417 68 3 879647275 +452 458 1 875266197 +311 228 5 884365325 +527 634 5 879456363 +321 463 3 879440393 +13 110 3 882141130 +472 3 5 892790676 +435 637 4 884132691 +303 250 4 879544712 +429 366 3 882387181 +84 25 3 883452462 +24 421 5 875323712 +189 136 4 893265535 +194 837 4 879546671 +466 651 3 890284819 +488 520 4 891293660 +494 50 5 879541246 +339 649 5 891034007 +468 435 4 875292027 +360 165 4 880356059 +130 477 4 875216593 +492 185 3 879969512 +18 504 5 880129940 +438 845 4 879868042 +497 89 4 879310850 +487 586 2 884051840 +484 258 5 883402900 +521 232 3 886063553 +459 220 3 879563367 +297 283 4 874954387 +112 1106 4 892439835 +495 404 4 888635380 +9 294 4 886959453 +497 197 3 879310419 +7 446 2 892132020 +426 174 3 879442044 +69 246 5 882072827 +70 183 4 884149894 +21 281 2 874951416 +521 248 3 884476110 +515 292 3 887659805 +253 591 3 891628358 +472 368 3 875979685 +332 333 5 889069499 +395 378 5 883764421 +308 1154 2 887740367 +119 25 5 886177013 +84 317 3 883453587 +7 380 4 891354053 +340 417 5 884991544 +56 191 4 892678526 +291 946 4 875086887 +290 465 3 880474799 +551 756 1 892784437 +543 135 5 875667109 +387 593 3 886480483 +506 367 3 874873068 +479 1016 3 879460254 +3 320 5 889237482 +518 1017 3 876823071 +20 934 4 879668783 +544 326 3 884795580 +344 926 2 886381985 +488 186 4 891294108 +267 144 5 878971463 +276 271 4 880913800 +361 165 5 879440573 +487 202 5 883445943 +303 650 5 879483941 +537 529 3 886031375 +397 177 5 882843746 +450 1030 1 882468789 +473 7 2 878157329 +542 746 4 886532838 +435 474 3 884131085 +525 300 4 881085217 +303 1073 4 879467191 +90 174 5 891383866 +308 842 3 887740099 +60 418 3 883327342 +313 485 3 891016425 +458 521 4 886397377 +345 241 4 884992142 +467 340 3 879532198 +393 1040 3 887745410 +151 638 5 879528819 +471 969 2 889828154 +426 610 4 879444550 +347 276 3 881652657 +43 172 4 883955135 +506 678 3 879074774 +532 312 2 884594422 +160 201 5 876858346 +307 200 3 877117875 +450 632 5 882395914 +295 513 4 879517492 +535 489 4 879619000 +495 62 3 888635937 +22 988 1 878887116 +141 261 1 886447904 +524 742 3 884627446 +519 335 5 883248595 +291 12 5 874834701 +33 294 3 891964166 +90 317 4 891383626 +504 71 5 887909321 +363 121 2 891497393 +90 896 3 891382163 +346 2 5 875263473 +497 386 2 879363111 +234 1205 1 892335501 +339 474 4 891032286 +546 928 4 885141132 +445 313 2 890988206 +301 111 1 882074708 +332 1047 3 887938652 +504 716 4 887909532 +543 982 3 877452676 +496 1473 3 876072548 +416 264 3 876696938 +399 393 4 882343455 +119 226 3 887038665 +481 507 4 885828773 +543 83 4 877547441 +524 506 4 884634938 +299 811 4 877880794 +194 118 3 879539229 +293 942 4 888907210 +283 625 3 879298007 +450 663 4 882373019 +387 102 3 886483669 +498 218 3 881961877 +313 144 4 891015144 +474 346 5 887914688 +315 1065 4 879799526 +393 1224 3 889555176 +500 83 4 888538350 +452 259 2 888494119 +323 763 4 878739459 +206 359 1 888179980 +458 753 4 886397110 +101 841 2 877136763 +291 475 5 874805699 +429 805 3 882385963 +331 198 4 877196634 +222 391 3 881060635 +262 485 4 879793363 +405 519 2 885546025 +426 98 4 879442737 +363 88 2 891498087 +43 559 1 883956468 +393 843 3 889731861 +96 238 4 884403250 +548 322 4 891043509 +543 95 3 874865728 +336 1011 2 877754536 +263 204 4 891298854 +405 710 4 885547268 +64 237 4 889740310 +530 156 4 883790381 +450 878 2 884098534 +506 295 4 879074845 +454 210 4 881960361 +452 97 4 885476560 +109 122 2 880583493 +489 355 5 891447872 +215 636 2 891436690 +459 255 4 879563613 +226 507 2 883889146 +312 855 5 891699538 +416 316 3 888700030 +195 508 3 886782519 +523 83 5 883700870 +447 845 3 878854678 +551 405 3 892783612 +495 831 1 888637325 +450 132 5 882374422 +354 9 3 891216607 +315 276 4 879799526 +484 1 5 881450058 +535 923 4 879617531 +327 644 3 887747410 +336 125 3 877760032 +303 1142 4 879544659 +363 200 3 891495918 +393 1239 3 889729508 +286 763 2 876521809 +290 69 4 880473696 +399 48 3 882349868 +542 508 3 886532762 +480 298 2 891207665 +439 288 3 882892424 +435 834 5 884134910 +189 97 4 893277579 +503 385 1 880472298 +211 1127 1 879461395 +407 172 4 875044037 +339 737 3 891035180 +2 287 3 888551235 +535 454 3 879617894 +92 1157 2 875812435 +249 309 3 879571456 +521 238 3 884478101 +416 249 3 876697558 +339 22 5 891033735 +332 824 3 887938818 +44 313 4 883612268 +48 528 5 879434954 +201 591 3 884140307 +178 578 4 882828021 +301 559 4 882078955 +407 28 4 875042826 +327 209 4 887747939 +92 7 4 876175754 +96 190 4 884402978 +301 1135 3 882078906 +405 707 1 885549309 +270 447 4 876956360 +14 238 5 879119579 +314 806 4 877887802 +308 195 5 887738619 +38 356 2 892430309 +421 117 5 892241624 +224 689 3 888082246 +90 762 3 891385250 +10 33 4 877893020 +184 747 3 889909672 +435 1231 2 884134019 +263 646 5 891299877 +161 22 2 891171282 +271 234 5 885848640 +10 245 4 877886281 +504 204 3 887838908 +270 794 4 876955689 +279 1361 3 878261977 +453 239 3 877554927 +16 509 2 877720118 +363 77 2 891496587 +276 298 5 874786467 +459 323 3 879561708 +364 262 3 875931432 +460 302 4 882910837 +48 183 5 879434608 +141 333 5 887424639 +186 568 4 879024014 +210 483 5 887736482 +451 995 1 879012721 +453 651 4 877554743 +379 153 4 880525284 +239 1204 4 889178986 +334 1198 3 891544735 +345 709 4 884993033 +535 953 5 879618019 +380 168 4 885479436 +474 517 4 887925916 +68 475 5 876973917 +217 720 3 889070011 +527 190 4 879456362 +437 179 4 881002345 +293 291 2 888905377 +276 974 2 874786945 +548 264 4 891043547 +157 269 4 886889876 +458 8 4 886395899 +553 505 5 879949107 +181 290 2 878963168 +526 315 5 885682102 +106 1242 4 881516731 +102 204 4 888803487 +399 153 2 882351347 +499 414 3 885599533 +295 105 4 879519473 +545 210 5 879899158 +433 322 2 880585466 +406 1220 3 882480802 +286 212 1 877531830 +378 200 3 880045681 +516 523 3 891290649 +543 79 4 877545356 +511 294 4 890005011 +216 943 5 881721799 +178 469 3 882827870 +508 218 2 883777237 +94 49 4 891722174 +138 487 3 879023853 +88 1191 5 891038103 +220 264 3 881198524 +370 176 4 879435217 +87 111 4 879876611 +313 449 3 891028323 +370 64 4 879434745 +374 176 4 880937692 +494 748 1 879540720 +430 100 5 877225570 +303 928 3 879485589 +194 28 5 879522324 +12 168 4 879959513 +16 109 4 877719333 +544 312 2 884796086 +347 333 5 881652077 +279 172 2 878082751 +311 209 2 884364502 +239 268 2 889178512 +99 345 3 885678696 +234 160 2 892336119 +506 222 4 884517178 +330 151 4 876544734 +286 217 3 877533447 +532 682 4 877898976 +429 457 1 882384438 +293 14 3 888904985 +389 81 3 880086972 +552 13 3 879222238 +537 1111 3 886031506 +387 737 3 886484098 +314 942 3 877888346 +508 436 4 883777109 +385 811 4 879443315 +329 185 3 891656347 +109 1035 2 880579787 +541 210 5 883865575 +504 50 3 887831293 +64 588 4 889739091 +237 485 4 879376553 +405 1184 1 885547996 +20 210 4 879669065 +487 4 4 883531003 +456 54 3 881375416 +85 193 3 879454189 +506 70 4 874874055 +508 209 5 883767325 +102 211 3 892993190 +268 11 4 875309507 +484 202 5 891195179 +151 845 4 879525035 +422 558 4 879744085 +314 685 4 877886788 +498 652 5 881961182 +417 222 3 879646388 +389 693 4 880088038 +269 632 4 891447931 +551 552 3 892784259 +343 231 5 876407032 +458 663 4 886398289 +551 13 1 892783411 +463 689 2 889936731 +109 449 5 880581987 +453 174 4 877554564 +280 200 5 891702544 +10 404 4 877886911 +506 1279 4 880198144 +545 101 4 879901538 +113 116 3 875076246 +15 243 1 879455362 +389 1444 3 880088445 +454 203 2 888267487 +178 1048 2 884837073 +439 475 3 882893220 +447 963 5 878855963 +197 22 5 891409839 +201 381 3 884111986 +380 423 3 885478218 +407 732 4 876341443 +429 755 3 882387685 +363 193 3 891494962 +498 171 3 881955866 +203 222 4 880434318 +465 1078 2 883532119 +7 258 4 892135277 +75 294 3 884049758 +267 182 5 878971773 +450 751 5 885945114 +537 1068 3 886029974 +454 654 2 888267419 +182 126 5 885613153 +532 373 3 888630658 +320 1522 3 884751316 +416 865 3 886316477 +472 559 5 875981708 +490 1128 4 875428765 +343 63 4 876406062 +450 1039 5 887137271 +474 493 4 887925837 +450 967 5 882373994 +99 201 3 885680348 +356 310 3 891405721 +399 1192 3 882344638 +478 219 2 889398289 +540 7 4 882157011 +314 699 5 877888527 +407 91 4 875044337 +72 628 4 880035857 +128 815 3 879968827 +442 800 3 883390139 +210 208 5 887730443 +85 99 5 880838306 +453 721 4 888205696 +455 318 3 879111528 +303 1013 1 879544860 +454 1107 4 888267617 +535 607 5 879618700 +234 1445 4 892336286 +425 230 4 878738644 +435 473 3 884133544 +175 419 5 877108098 +308 655 4 887738664 +325 502 4 891479058 +533 525 3 879191770 +538 202 4 877108250 +450 1603 3 887139728 +437 512 4 880140978 +280 1207 4 891701998 +298 118 4 884183016 +447 435 4 878855756 +293 831 3 888905286 +60 506 5 883327441 +541 399 3 883866093 +407 118 3 876338309 +482 301 4 887643315 +506 655 4 874873892 +85 14 4 879452638 +454 248 3 881959238 +269 66 1 891451063 +387 117 3 886480788 +507 892 5 889964809 +5 416 1 875721196 +342 68 3 875319992 +56 88 1 892683895 +222 468 2 881060412 +456 216 4 881374193 +207 248 3 877878409 +201 191 4 884114471 +22 184 5 878887869 +497 298 3 879310580 +328 186 4 886037065 +328 344 4 893195665 +343 931 3 876403938 +489 334 4 891448453 +486 299 1 879874113 +373 90 4 877103846 +138 194 5 879024184 +146 301 2 891457905 +407 400 1 876348583 +497 722 3 879362985 +213 478 5 878956129 +363 179 4 891496373 +405 1265 2 885549942 +347 50 5 881652456 +92 204 4 875653913 +7 593 5 891351851 +534 1028 5 877807816 +128 1035 3 879968921 +421 56 5 892241421 +326 96 3 879875057 +472 633 4 875981428 +503 514 3 880472102 +299 47 4 877881508 +449 170 4 880410652 +459 832 3 879563758 +545 73 4 879900121 +456 92 4 881374048 +327 550 2 887820448 +532 515 5 889327324 +497 155 3 879310522 +504 1136 5 887840560 +506 608 4 874874055 +381 259 2 892698054 +59 181 5 888204877 +372 452 4 876869534 +321 186 4 879440245 +392 114 4 891038401 +8 174 5 879362183 +244 655 5 880605766 +535 174 4 879617747 +129 882 2 883244662 +338 514 5 879438114 +389 393 2 880088717 +554 28 4 876232758 +409 1537 4 881106605 +144 117 4 888103969 +528 751 4 888520371 +250 237 2 878089753 +440 319 2 891549397 +457 168 5 882395018 +217 550 1 889069842 +227 460 2 879035963 +492 86 3 879969454 +125 399 3 892838509 +372 100 3 876869388 +230 650 4 880484778 +437 684 3 880382747 +244 246 5 880604302 +399 382 3 882344134 +405 1239 1 885548163 +521 291 1 885254166 +478 79 4 889388743 +24 8 5 875323002 +305 1073 1 886323591 +497 692 3 879310379 +382 258 2 875945173 +59 174 5 888204553 +450 472 4 882397813 +184 956 3 889908693 +346 358 4 886273570 +313 479 5 891013652 +533 357 3 879191085 +90 480 5 891383835 +357 117 5 878951217 +521 427 3 884477630 +553 511 5 879948869 +298 97 4 884183063 +128 497 3 879967102 +294 240 3 877820294 +128 26 4 879969032 +280 219 2 891702199 +70 95 4 884065501 +125 914 1 892835594 +132 127 4 891278937 +348 7 4 886523302 +412 114 4 879716874 +506 646 4 874874947 +330 470 5 876546267 +32 405 4 883718008 +125 585 4 892838463 +416 388 2 886320177 +495 1419 1 888635995 +464 181 3 878354998 +536 143 5 882360425 +269 644 5 891447593 +442 210 3 883388609 +365 1137 5 891303950 +547 316 5 891282797 +380 286 5 885477802 +437 672 1 881002300 +318 566 4 884496472 +90 1199 5 891385652 +10 174 4 877886661 +85 659 4 879453844 +385 273 2 879440557 +497 748 4 878759432 +347 1016 3 881652730 +425 853 4 878738853 +456 1220 3 881375051 +550 259 2 883426119 +421 213 3 892241491 +83 871 2 891182319 +453 471 4 888205557 +398 82 5 875721348 +380 217 2 885480093 +455 694 4 879110870 +556 327 5 882135508 +101 597 3 877136928 +249 125 3 879640210 +387 246 3 886480623 +57 126 3 883697293 +104 333 2 888442305 +426 607 4 879444734 +181 1114 1 878963342 +343 277 4 876402978 +425 943 4 890347172 +499 207 5 885599533 +293 177 4 888906193 +276 151 5 874786568 +374 743 1 880394000 +200 411 3 876042824 +234 463 4 892333865 +532 331 4 890021268 +120 117 3 889490979 +69 181 5 882072778 +13 68 3 882397741 +533 931 2 879366160 +500 1111 4 883874529 +85 182 4 893110061 +518 717 5 876823963 +421 175 2 892241576 +161 50 2 891170972 +442 281 3 883391299 +495 69 3 888632070 +500 1616 4 883875501 +346 77 4 874950937 +203 257 3 880434298 +299 538 3 881605700 +398 385 3 875723253 +48 523 5 879434689 +311 520 5 884365251 +95 210 5 879196566 +426 601 3 879444321 +347 28 4 881654612 +301 426 4 882076967 +184 66 4 889910013 +537 1073 3 886031149 +405 1522 1 885548670 +394 7 5 880888390 +10 129 4 877891966 +336 237 5 877759598 +124 154 5 890287645 +492 64 4 879969539 +189 238 5 893265683 +197 230 4 891409893 +100 880 1 891375260 +87 172 5 879875737 +505 79 3 889333274 +7 178 4 891350932 +429 581 2 882385684 +535 185 4 879617931 +269 182 4 891447961 +389 531 4 880086918 +96 98 5 884403214 +111 344 2 891680243 +391 132 4 877398951 +311 194 4 884364724 +276 802 3 874792634 +515 329 2 887660131 +484 318 5 891194932 +429 55 4 882384847 +305 735 4 886324128 +532 210 5 888637085 +445 871 2 891200592 +351 289 5 879481613 +368 569 3 889783586 +90 568 5 891385165 +264 286 2 886121691 +506 209 4 874873529 +360 936 4 880354181 +372 332 4 876869330 +269 69 1 891448048 +465 855 4 883531444 +476 435 3 883364218 +416 576 5 893213103 +503 607 5 880472272 +387 265 4 886483049 +467 108 4 879532744 +249 483 5 879572314 +234 211 3 892079475 +446 270 4 879786892 +409 175 4 881107251 +524 284 3 884323525 +425 229 3 878738548 +435 357 4 884131771 +511 333 4 890004778 +246 118 1 884923175 +519 349 5 883250148 +453 475 5 877552514 +460 311 5 882912418 +28 449 2 881961394 +426 836 3 879444117 +559 524 3 891035917 +294 331 4 877818580 +13 709 4 882139863 +454 131 3 881960330 +394 1371 2 880886546 +385 127 4 879439667 +459 111 3 879563201 +537 1139 2 886032000 +445 405 4 891200869 +378 111 3 880044562 +417 181 3 879646286 +354 709 5 891217928 +186 303 3 891717938 +435 961 1 884133635 +456 919 4 881371548 +550 405 4 883426027 +54 1 4 880931595 +501 1278 3 883348372 +251 117 4 886272009 +234 393 2 892335108 +375 183 5 886621917 +370 323 2 879434333 +79 268 5 891271792 +331 414 4 877196504 +151 582 5 879524563 +334 312 2 891544286 +495 679 3 888634784 +535 203 3 879619035 +457 218 4 882547554 +87 1177 1 879877280 +186 332 4 891719775 +85 191 4 879455021 +551 690 5 892775584 +472 755 4 875981829 +445 544 2 891200417 +237 178 4 879376671 +523 549 4 883703144 +474 195 5 887923789 +130 181 5 874953621 +405 956 2 885546069 +405 555 1 885546835 +454 434 3 888267387 +95 1133 3 880572416 +373 191 4 877102549 +16 237 5 877719504 +478 392 2 889398571 +313 50 5 891013859 +201 1073 2 884111899 +515 893 1 887660131 +541 420 4 883874749 +399 826 2 882349353 +389 605 5 879991512 +504 567 2 887839196 +533 546 3 879192769 +184 399 3 889910159 +328 561 3 885049431 +250 100 5 878089786 +201 729 2 884140975 +405 1104 1 885549408 +482 295 3 887644063 +416 357 5 893213645 +429 81 3 882385243 +269 241 1 891450405 +381 1401 4 892697013 +75 1 4 884050018 +262 100 3 879962366 +452 614 3 875562198 +452 494 5 885805554 +445 325 1 891199533 +532 205 5 887788806 +357 1034 2 878952222 +551 365 5 892784524 +336 383 1 877758935 +553 182 3 879949290 +293 636 4 888906576 +6 495 4 883601366 +486 748 2 879874218 +270 250 2 876954223 +433 754 3 880585162 +62 1091 3 879376709 +448 750 5 891888099 +326 790 1 879877198 +63 405 4 875748109 +496 420 3 876069927 +8 82 5 879362356 +393 415 4 889730117 +313 629 3 891028873 +234 102 2 892335616 +405 183 1 885547909 +271 699 4 885849025 +447 405 2 878854704 +553 523 4 879948508 +435 786 4 884133657 +222 338 1 881058145 +116 258 4 876451911 +487 540 2 884050192 +128 732 4 879967047 +524 490 3 884634679 +186 540 4 879024014 +125 513 4 879454385 +460 149 4 882912174 +450 474 5 882812558 +276 88 3 874791960 +160 508 5 876768025 +249 568 4 879572256 +504 186 3 887840637 +373 382 4 877100458 +94 808 2 891723931 +338 1 3 879438143 +551 864 5 892785091 +437 1090 1 880143092 +518 458 3 876823266 +113 50 5 875076416 +339 663 5 891032952 +494 507 4 879541207 +527 513 4 879456030 +264 211 5 886123472 +38 395 3 892434164 +370 484 4 879434937 +262 559 3 879792792 +130 894 4 884624087 +90 528 5 891384065 +188 462 4 875073246 +495 1183 4 888637228 +144 729 4 888105665 +94 204 4 891721317 +234 516 3 892079140 +299 251 5 877877434 +79 319 4 891271278 +535 70 4 879618849 +553 22 5 879949324 +94 716 3 885873006 +15 310 4 879455049 +506 732 4 874874109 +21 989 3 874951039 +334 405 3 891547040 +474 198 3 887925621 +271 269 4 885844430 +489 878 2 891448565 +332 328 5 887916217 +188 553 4 875071775 +450 765 3 882471362 +115 56 5 881171409 +293 497 4 888906217 +243 1465 3 879988215 +70 1146 3 884151576 +385 506 2 879445291 +417 324 1 879646463 +263 250 2 891300103 +251 118 3 886272514 +455 898 3 883768822 +455 174 4 879111763 +299 746 4 889502979 +457 845 4 882393801 +221 59 2 875245514 +13 170 5 882139774 +75 196 4 884051948 +472 658 5 875983231 +92 425 4 875812898 +82 424 1 878768811 +339 614 3 891034867 +504 616 4 887910267 +416 58 5 893212929 +435 72 4 884132809 +290 1047 4 880475757 +472 1119 5 875983023 +524 199 4 884634646 +529 331 4 882535220 +313 393 4 891015268 +416 795 2 892440060 +487 732 5 884025080 +437 144 2 880141196 +232 132 5 888549721 +453 50 5 877562313 +58 1089 1 892242818 +24 582 4 875323368 +94 143 4 891722609 +234 515 5 892078424 +269 428 5 891448980 +295 134 5 879519556 +293 204 3 888906012 +500 275 1 883873439 +560 7 3 879975718 +181 118 2 878962955 +456 101 3 881375284 +202 242 3 879726342 +181 749 1 878961586 +506 148 3 877539905 +458 357 3 886397275 +334 1312 4 891628832 +503 241 5 880383425 +57 748 4 883696629 +495 470 5 888637768 +465 283 3 883530560 +540 100 5 882156948 +444 912 4 891978663 +299 498 4 878192237 +452 162 3 875277319 +70 132 4 884067281 +122 269 5 879269963 +23 7 4 874784385 +526 283 3 885682400 +381 228 4 892697373 +320 1091 4 884751462 +276 144 5 874792401 +21 760 1 874951293 +343 930 1 876403587 +424 323 5 880859084 +417 65 4 879647011 +42 471 4 881105505 +87 449 3 879876110 +58 70 4 890321652 +118 551 5 875385306 +416 462 5 893212895 +92 78 3 876175191 +385 961 4 879446868 +452 60 1 887718917 +38 247 5 892429460 +128 692 4 879967197 +464 1598 3 878355088 +178 11 5 882826162 +486 872 5 879874153 +454 485 4 888267386 +99 121 3 885679261 +449 105 1 879959573 +371 180 4 877487656 +125 1185 3 892838509 +216 318 5 880233564 +116 297 3 890633075 +339 511 5 891032885 +79 116 5 891271676 +204 262 4 892389137 +26 405 2 891376986 +269 42 5 891449646 +548 248 4 891043852 +60 160 4 883326525 +561 51 3 885810834 +215 202 4 891435295 +537 70 4 886031786 +234 528 4 892079689 +211 520 4 879460096 +497 720 2 879310941 +5 162 1 875721572 +332 746 5 888360129 +500 120 3 883865826 +551 286 4 892775466 +33 682 4 891964274 +62 283 4 879372598 +24 11 5 875323100 +429 578 3 882386942 +554 8 4 876550526 +354 1063 3 891218230 +393 552 2 889729638 +423 9 5 891395395 +406 202 3 880131704 +269 315 4 891446132 +82 409 1 884714421 +102 450 1 888802768 +497 13 2 878759927 +259 781 3 888630664 +279 843 4 875314313 +244 64 5 880605638 +327 164 3 887746219 +466 902 5 890283497 +551 458 2 892784166 +178 763 4 882824253 +279 1121 4 875310101 +38 313 5 892428216 +394 746 2 880888313 +378 285 4 880044312 +450 482 5 882371904 +503 747 3 880383424 +551 31 4 892783451 +560 123 2 879976542 +303 619 3 879467574 +511 355 2 890004827 +425 244 1 878739015 +43 280 3 883955806 +536 230 5 882359779 +303 168 5 879467223 +447 1132 3 878855164 +519 327 4 883248134 +266 14 4 892258004 +56 862 3 892910292 +500 276 5 883865290 +530 476 4 886198206 +560 108 1 879976988 +269 218 2 891450509 +267 380 2 878973426 +431 245 4 877844489 +322 656 5 887314027 +178 354 4 892239771 +505 1285 3 889333711 +508 88 3 883777299 +326 33 2 879876975 +508 109 3 883768886 +60 212 5 883327087 +11 238 3 891905032 +458 57 1 886395758 +15 257 4 879455821 +533 345 3 888347628 +361 190 5 879440573 +537 588 1 886031473 +541 781 5 883866093 +526 301 2 885682031 +511 358 1 890004916 +378 153 4 880055779 +18 582 5 880131450 +1 256 4 889751712 +268 1046 3 875745501 +7 416 5 891353051 +405 141 2 885548877 +435 151 3 884132898 +327 72 2 887819582 +114 176 5 881260203 +537 697 2 886031966 +552 151 3 879222238 +397 127 5 885349427 +489 991 3 891445439 +267 124 5 878970473 +361 274 3 879441034 +201 31 1 884114232 +374 97 5 880394571 +5 95 4 875721168 +68 409 3 876974677 +334 231 2 891549024 +152 274 5 880149166 +416 143 5 893213918 +157 117 5 886890296 +450 1261 4 882472964 +373 165 5 877100354 +327 340 4 887744167 +450 614 4 882377479 +532 468 5 893119491 +373 497 3 877099317 +456 202 3 881374586 +109 413 3 880572382 +58 209 5 884305019 +429 168 5 882387773 +360 284 3 880354991 +536 204 4 882359938 +230 216 4 880484444 +286 805 3 878141931 +454 194 3 881959698 +504 132 5 887838815 +374 64 5 880396256 +501 1534 4 883348743 +380 654 4 885478953 +311 521 4 884366686 +533 118 4 879192792 +24 727 3 875322727 +463 597 2 890531227 +483 405 3 878952966 +379 195 3 880525368 +454 655 3 881959746 +110 340 3 886987183 +401 321 2 891031554 +501 298 4 883347950 +405 528 1 885546248 +277 619 4 879543801 +374 5 4 880937875 +512 313 3 888578289 +130 227 3 875801868 +500 56 5 883873976 +487 288 4 883440572 +308 699 4 887737193 +101 117 4 877136067 +527 653 4 879456077 +499 183 4 885599718 +82 826 3 876311646 +476 175 4 883364143 +294 298 5 877819265 +338 490 5 879438275 +263 879 2 891297416 +445 595 2 891200624 +201 121 2 884114275 +505 258 1 888630999 +535 508 5 879617931 +62 222 5 879372480 +200 549 4 884129567 +393 194 4 887746239 +68 111 3 876974276 +116 1254 2 876453377 +57 1096 3 883697940 +343 257 3 876402941 +500 3 4 883865786 +249 183 4 879572540 +537 291 2 886030235 +561 164 2 885809626 +235 196 3 889655162 +434 833 4 886724914 +251 281 4 886272456 +360 845 3 880354942 +114 180 3 881309718 +321 7 4 879438793 +293 941 2 888907407 +452 969 2 875276006 +545 710 3 879900227 +387 76 3 886484215 +416 140 4 886317030 +369 166 4 889428418 +534 591 5 877807845 +126 344 4 887853735 +450 700 1 882469863 +318 174 4 884495590 +297 83 4 875774306 +545 228 5 879899266 +244 174 3 880605896 +22 1003 1 878887277 +351 678 4 879481675 +189 656 4 893265568 +481 435 5 885828510 +349 15 4 879465785 +90 356 4 891385752 +429 151 5 882386870 +542 8 3 886532908 +308 96 4 887737432 +532 685 5 892521554 +504 416 4 887910294 +151 198 4 879524472 +479 840 1 879460547 +514 45 4 876061444 +532 586 4 888636373 +397 156 5 885350381 +401 168 1 891033442 +385 461 4 879441942 +540 50 5 882156948 +145 17 3 875272132 +454 97 4 881960029 +532 591 5 893119335 +131 242 5 883681723 +387 123 3 886480970 +497 250 3 879310581 +189 516 1 893265568 +456 282 3 881371694 +15 323 1 879455311 +345 655 4 884991851 +553 1451 4 879949212 +25 968 4 885852218 +455 228 4 879111153 +541 660 5 883865039 +82 456 1 884714618 +496 11 4 876067022 +521 659 4 885253376 +158 250 4 880132356 +405 556 1 885546636 +429 382 3 882386601 +533 69 4 879438849 +342 382 3 875320623 +400 307 3 885676526 +181 456 1 878962586 +344 8 5 889814194 +472 49 5 875982607 +374 1277 3 880394331 +405 1539 1 885546724 +500 316 3 891916809 +480 517 4 891208460 +463 741 1 889937778 +85 291 3 882994658 +23 386 4 874789001 +243 509 4 879988369 +249 317 5 879572106 +7 571 3 891353950 +370 661 5 879435217 +264 14 4 886122771 +59 762 4 888203708 +53 628 5 879443253 +75 111 4 884050502 +332 70 2 888360179 +387 20 4 886480789 +94 732 3 891721216 +186 1046 3 879023751 +545 25 2 880348933 +561 23 5 885807888 +474 194 5 887924571 +504 372 4 887839195 +416 775 4 893142245 +25 186 4 885852569 +320 679 4 884749306 +295 22 4 879517372 +328 601 4 885048004 +548 1051 4 891415677 +339 160 5 891033512 +503 97 4 880383424 +224 349 4 888082246 +327 960 5 887745774 +308 97 1 887738469 +394 4 4 880888037 +479 117 3 889125627 +363 625 4 891498038 +77 209 4 884752562 +316 183 1 880853654 +323 292 4 878738997 +391 504 5 877398856 +435 290 3 884132484 +85 310 3 880838201 +92 1028 2 876769174 +303 586 2 879485659 +60 168 5 883326837 +280 197 2 891700836 +468 8 4 875288196 +198 6 2 884206270 +434 844 3 886724505 +501 844 4 883347023 +249 117 4 879640414 +446 690 2 879786892 +483 286 3 878950353 +385 631 3 879461422 +94 864 2 891723397 +325 208 3 891478771 +537 3 2 886030317 +554 582 3 876232758 +262 294 2 879962366 +489 872 2 891448530 +380 38 2 885479537 +54 930 1 880937813 +246 1139 2 884923811 +541 699 4 883864985 +63 224 4 875747635 +506 662 5 878044851 +11 290 3 891903877 +554 229 3 876369907 +514 307 4 880210104 +299 1103 4 889503013 +533 180 3 879439379 +479 288 3 879459836 +267 1185 2 878973995 +416 526 5 893214226 +417 157 4 879647966 +379 427 5 881996665 +295 403 4 879517762 +76 77 2 882607017 +269 445 3 891450385 +22 211 3 878886518 +504 117 4 887831694 +279 60 4 875310263 +312 211 4 891698254 +221 222 3 875244232 +425 590 3 878737945 +207 281 3 876018471 +422 370 2 879744287 +410 269 5 888627137 +13 578 3 882397974 +454 692 5 888267158 +434 763 5 886724873 +500 662 2 883876005 +509 751 3 883590443 +305 480 5 886322758 +244 318 5 880603082 +198 411 1 884206659 +10 178 5 877888677 +474 1050 4 887926106 +541 423 3 883864985 +95 448 3 879197783 +386 685 4 877655085 +249 471 4 879640241 +380 139 1 885480414 +114 679 2 881259741 +256 151 5 882151623 +354 89 4 891217547 +339 130 4 891034040 +527 56 4 879456611 +246 173 5 884921227 +393 85 3 889729375 +508 115 3 883767383 +479 463 4 879460984 +506 1110 1 885135955 +200 866 4 891825324 +472 1053 4 875982397 +327 11 4 887745303 +318 56 3 884495561 +223 993 4 891549876 +474 633 4 887926436 +417 323 3 879646820 +472 455 4 883903686 +556 496 5 882136252 +181 1255 1 878962086 +41 216 3 890687571 +405 1444 2 885549005 +450 92 4 887660650 +363 54 3 891497440 +479 182 4 879460984 +226 224 4 883889690 +28 195 4 881957250 +343 1211 4 876406677 +433 1005 5 880585730 +10 11 4 877888677 +494 100 5 879541475 +234 1204 3 892078297 +486 109 3 879874902 +536 441 2 882361018 +13 404 5 882399014 +92 182 4 875653836 +346 496 5 875260242 +318 480 4 884495795 +185 514 5 883524428 +398 476 3 875652760 +265 240 3 875320633 +293 403 3 888906869 +40 879 2 889041595 +543 199 4 875663056 +274 1152 4 878945939 +530 1300 2 890627207 +551 950 2 892783861 +177 568 3 880130915 +497 240 4 879309734 +194 225 3 879543589 +343 739 3 876406939 +130 412 4 874953866 +328 645 4 885046344 +351 341 4 879481425 +504 384 2 887912447 +343 86 5 876404836 +551 260 5 892775869 +479 1039 4 879461015 +95 72 2 880571389 +374 318 2 880394886 +457 403 4 882397177 +526 875 3 885682264 +535 137 4 879618502 +505 56 1 889333560 +417 474 4 879647118 +551 576 2 892784743 +436 347 4 887768398 +552 252 2 879222002 +211 423 5 879459846 +377 508 4 891298549 +286 818 2 877531281 +194 86 3 879520991 +533 26 3 879192035 +320 588 3 884750766 +542 399 2 886533172 +144 654 4 888105823 +152 794 5 886535773 +94 53 4 891721378 +465 286 4 883529338 +301 39 3 882076292 +158 123 3 880132488 +447 204 4 878856458 +411 568 4 892845634 +538 191 5 877106665 +246 92 1 884921661 +463 596 3 877385731 +498 919 4 881954451 +545 524 4 879900185 +456 60 4 881373838 +537 459 3 886030381 +468 582 3 875287535 +479 421 4 879460762 +92 411 4 875640189 +7 507 5 891352383 +429 1110 2 882387234 +532 284 5 893119438 +528 748 3 888520471 +318 132 4 884495868 +402 50 4 876266741 +183 1090 2 891467546 +360 357 5 880355958 +551 223 4 892776650 +536 70 2 882359906 +125 372 1 879454892 +249 290 2 879640521 +429 505 4 882384821 +551 292 3 892775612 +525 121 4 881085893 +451 242 1 879012857 +84 1047 2 883452694 +487 195 4 883446907 +116 519 5 886310197 +213 479 4 878955534 +539 661 5 879788045 +533 411 2 879365998 +551 581 5 892783972 +365 271 4 891303408 +168 678 1 884287109 +274 211 5 878946612 +92 1214 2 876174925 +157 685 3 886890372 +548 118 5 891415855 +520 289 4 885169052 +7 646 5 891351383 +551 181 2 892778074 +479 249 2 879460236 +416 416 4 886319038 +10 182 5 877888876 +87 181 5 879876194 +85 610 3 879454582 +345 1012 3 884994606 +426 332 4 879441781 +213 118 4 878870871 +426 194 4 879444919 +527 124 4 879455680 +291 565 2 874867852 +343 1194 4 876405129 +551 22 5 892776650 +470 19 4 879178813 +489 330 4 891445277 +553 434 3 879948771 +253 689 5 891627775 +481 514 4 885829045 +409 207 3 881108715 +524 185 4 884635204 +499 176 4 885599447 +429 520 3 882384603 +293 463 4 888906619 +412 96 5 879717286 +501 249 3 883348411 +521 423 3 884478792 +537 58 4 886031719 +33 678 4 891964306 +13 1 3 882140487 +303 1232 3 879484948 +435 413 2 884134104 +480 191 4 891208265 +242 111 4 879741196 +234 970 4 892335437 +400 323 4 885676582 +94 923 5 885882685 +226 176 4 883888978 +435 42 3 884131267 +538 237 4 877109986 +78 327 1 879633495 +497 783 3 879362908 +506 53 4 874874985 +83 546 4 887665549 +92 642 3 875654929 +435 109 4 884132297 +429 702 5 882387757 +40 896 4 889041402 +249 478 4 879572911 +75 685 4 884050134 +456 238 4 881373756 +288 175 1 886629664 +561 143 1 885810000 +472 1 5 892790627 +144 271 2 888103632 +193 354 3 889123158 +537 661 4 886031149 +9 483 5 886960056 +82 418 4 878769848 +538 496 5 877107491 +563 1035 4 880507204 +18 478 5 880129691 +474 495 4 887927728 +554 696 3 876232023 +60 515 5 883326784 +326 780 2 879877326 +256 739 5 882165135 +409 156 2 881108715 +469 705 5 879524302 +504 94 4 887841158 +542 265 4 886532238 +286 819 3 876521835 +122 660 3 879270644 +519 909 5 883250148 +194 1207 1 879555410 +234 608 3 892078741 +497 1157 2 879362178 +385 384 1 884118861 +537 1050 2 886031575 +201 180 3 884140078 +527 201 3 879456490 +144 280 1 888104625 +566 177 4 881650654 +563 692 5 880506842 +194 22 5 879521474 +556 192 5 882136440 +488 210 4 891294896 +126 690 3 887853735 +452 648 4 875273292 +320 24 3 884748641 +35 358 1 875459073 +374 521 4 880395530 +24 41 5 875323594 +550 892 2 883426119 +343 357 5 876408139 +478 381 5 889397221 +474 996 3 887927153 +145 823 3 875271397 +446 334 3 879787149 +164 411 2 889402407 +455 515 4 878585775 +194 732 3 879522021 +533 659 4 879439379 +160 1197 4 876768609 +472 99 3 875981595 +342 357 3 874984234 +58 116 5 884304409 +533 845 4 882902989 +406 133 5 882461684 +276 461 4 874787526 +342 1103 3 874984395 +533 4 3 888845066 +234 319 3 892334883 +159 96 4 884360539 +496 141 3 876067493 +115 273 4 881169984 +548 887 4 891043442 +524 42 3 884636453 +121 127 5 891388333 +481 650 3 885828650 +378 144 4 880046100 +308 605 4 887740603 +305 70 4 886324221 +334 338 1 891544524 +246 1028 3 884923653 +115 177 5 881172117 +543 694 4 874862966 +256 288 5 882150122 +497 3 4 879309715 +515 243 3 887659667 +195 809 3 877835548 +378 21 3 880044944 +527 203 4 879456662 +532 242 4 888817735 +534 1034 3 877808120 +339 1526 4 891035116 +537 654 3 886031506 +466 95 2 890285788 +407 712 2 876340043 +354 281 1 891216915 +130 1089 2 876250718 +121 250 2 891388676 +491 273 5 891188230 +295 137 4 879517271 +382 177 4 875947005 +6 203 3 883602864 +184 529 4 889909445 +308 517 4 887737483 +484 69 5 891194743 +387 663 4 886482883 +7 665 4 891354471 +532 241 5 892859148 +407 403 4 875045658 +399 118 3 882341383 +378 1230 2 880334305 +71 357 5 885016495 +389 454 2 880086868 +520 300 4 885168906 +342 7 4 875318266 +467 1016 4 879532671 +109 177 4 880578358 +58 1048 1 892242190 +516 628 4 891290649 +60 491 4 883326301 +109 12 4 880577542 +492 187 5 879969878 +394 802 1 881058201 +518 685 5 876823597 +193 763 3 889127457 +401 83 4 891033122 +447 248 5 878854383 +409 1393 1 881105367 +385 650 5 880870205 +464 1226 4 878355033 +530 214 2 886202320 +92 230 3 875656055 +450 928 3 882397813 +338 208 3 879438225 +279 684 3 880825843 +216 156 5 880233608 +201 408 4 884111436 +389 527 3 880086868 +347 1039 5 881653830 +405 1179 1 885547690 +345 416 4 884992142 +561 7 5 885808738 +363 164 2 891496722 +28 56 5 881957479 +557 262 2 882458820 +380 751 3 885481179 +377 271 4 891295957 +15 282 3 879456204 +326 434 5 879875203 +305 941 2 886324792 +380 163 2 885478539 +496 87 5 876073616 +328 323 3 885044940 +457 1140 2 882551344 +503 561 5 879454977 +463 1014 2 889936324 +557 166 4 881179397 +542 496 4 886532534 +62 44 3 879374142 +402 1060 3 876267041 +244 754 4 880603960 +360 304 4 880353660 +521 228 4 884478007 +391 282 4 877399894 +18 461 4 880130713 +545 89 3 879899125 +222 11 5 878181534 +456 693 3 881373949 +389 631 5 880087493 +451 308 1 879012890 +141 823 3 884585437 +110 196 4 886987978 +417 380 3 879648860 +552 225 3 879221876 +503 382 4 880383174 +52 13 5 882922485 +147 270 3 885594204 +457 105 3 882396001 +149 337 2 883512968 +405 1231 1 885548136 +450 589 3 882813241 +219 258 5 889386635 +49 946 2 888067096 +474 603 5 887923788 +253 485 5 891628435 +342 298 3 874984619 +417 245 4 879649779 +481 216 5 885828339 +34 292 5 888602742 +66 50 5 883601236 +373 71 5 877098891 +48 185 4 879434819 +276 1194 3 874790875 +498 182 4 881955596 +541 763 3 883866068 +232 750 3 885939690 +454 496 4 881959991 +416 245 2 876696788 +453 214 3 877553928 +545 229 3 879899380 +168 597 3 884288112 +13 654 5 881515295 +435 713 5 884131385 +359 546 3 886453373 +533 427 4 879191373 +532 721 4 874791671 +345 298 5 884902339 +152 49 5 882477402 +374 183 4 880434204 +406 173 2 879446684 +312 608 5 891699372 +537 488 4 886030622 +346 375 1 875266176 +417 385 5 879648184 +276 915 4 892436368 +542 866 2 886533046 +75 405 4 884050164 +539 242 5 879787770 +524 161 4 884637095 +455 57 4 879112460 +31 875 4 881547938 +295 202 5 879517943 +429 83 4 882385168 +399 301 4 882340242 +49 42 4 888068791 +378 736 4 889665232 +381 705 5 892696209 +413 250 3 879969674 +479 175 4 879461102 +561 805 3 885810240 +124 144 4 890287645 +214 705 4 891544414 +385 507 3 879445631 +546 17 4 885141411 +417 340 3 880949136 +503 488 5 880472216 +484 56 5 891195057 +440 937 5 891548567 +223 125 3 891549294 +236 127 5 890116032 +308 214 2 887738104 +354 166 4 891218379 +145 762 3 875272926 +160 282 4 876768025 +536 727 3 882359697 +523 935 5 883700186 +548 458 3 891415512 +87 657 4 879877740 +437 1007 5 881002374 +41 195 4 890687042 +72 220 3 880035786 +454 70 4 888267419 +385 900 4 885168653 +382 100 4 875945812 +541 1 4 883874645 +457 651 5 882396799 +99 475 5 885678785 +497 550 4 879310913 +187 216 5 879465394 +101 1132 3 877136954 +543 179 4 874862879 +542 69 4 886532552 +18 42 3 880130713 +145 412 4 888398492 +318 1012 4 884471076 +474 216 4 887924683 +22 94 3 878887277 +263 315 4 891296896 +201 425 3 884140246 +74 258 4 888333194 +406 421 4 882480628 +293 211 4 888906338 +456 721 4 881373756 +393 569 4 889728736 +291 566 4 874834799 +280 697 5 891701506 +15 676 4 879455871 +398 239 3 875747539 +472 38 4 875981358 +393 240 2 887745380 +189 246 4 893264048 +56 794 3 892683960 +496 39 5 876072633 +425 198 4 890347247 +277 1129 3 879543421 +530 692 4 883784258 +558 116 5 879436396 +563 233 4 880507165 +523 3 4 883702474 +542 56 5 886532706 +201 282 2 884140428 +556 170 4 882136162 +10 134 5 877889131 +56 11 4 892676376 +239 753 5 889179478 +452 79 4 875269386 +339 79 4 891032701 +174 1221 5 886514398 +130 420 5 876252472 +280 284 3 891701090 +457 483 5 882396705 +425 176 3 878738386 +361 269 4 879441490 +456 174 4 881373019 +226 713 5 883889884 +112 887 5 884992444 +483 199 3 882165665 +520 1028 1 885170476 +423 148 3 891395417 +207 111 3 880839802 +497 38 3 879310965 +532 1470 5 888630402 +545 472 5 879899266 +185 423 5 883524428 +532 562 5 892859148 +234 124 4 891227689 +551 132 5 892777583 +526 270 3 885681860 +463 15 4 877385287 +500 721 1 883875561 +451 690 4 879012382 +396 871 2 884646289 +193 476 2 889127698 +201 464 1 884140522 +274 685 5 878945542 +524 184 1 884636416 +138 15 4 879023389 +110 765 3 886989028 +339 4 4 891033653 +537 226 2 886032000 +332 369 4 887938556 +561 1101 3 885808887 +559 902 4 891035111 +343 168 4 876404612 +564 1399 2 888718470 +200 358 5 884127221 +474 521 5 887925977 +52 151 5 882922249 +57 820 3 883698039 +407 197 4 875553731 +504 258 5 887831273 +417 1247 3 880953033 +276 715 3 874791194 +30 172 4 875060742 +463 244 4 877387935 +286 930 2 876522240 +234 1169 4 892334543 +1 220 3 875241390 +524 554 4 884636746 +532 421 5 888637085 +405 1042 1 885548671 +405 265 2 885547910 +426 655 4 879444952 +269 58 2 891447842 +429 546 3 882387140 +560 1160 3 879976215 +450 591 4 887660762 +435 1103 4 884131627 +400 288 4 885676365 +405 1585 1 885546487 +544 1280 3 884795542 +122 956 4 879270850 +236 176 2 890115933 +16 642 5 877719075 +360 286 5 880353526 +447 926 3 878854438 +381 214 2 892697338 +535 433 5 879618160 +566 395 1 881651672 +528 423 1 888522642 +325 498 4 891478333 +548 311 3 891042194 +530 328 4 886198454 +313 633 5 891014597 +356 292 3 891405978 +494 289 1 879540630 +363 578 4 891497925 +99 22 5 885679596 +188 651 4 875073408 +474 170 4 887925620 +378 1181 2 880332537 +508 214 3 883775341 +334 305 2 891544135 +189 313 2 893263960 +264 856 3 886123472 +537 956 4 886031751 +497 127 5 879310580 +565 52 5 891037524 +209 1 5 883460644 +321 863 3 879440746 +425 187 3 878738386 +83 584 4 880308453 +10 137 4 877889186 +354 151 3 891218356 +454 318 5 881959576 +281 326 1 881200491 +104 628 4 888465347 +59 168 5 888204641 +128 690 3 879966274 +394 38 4 881058146 +479 58 4 879461432 +458 461 4 886397377 +552 336 3 879221267 +76 137 5 875498777 +334 640 4 891548129 +563 401 4 880507108 +551 561 5 892785363 +561 151 2 885808843 +536 265 5 882360300 +417 391 2 879649519 +406 117 4 879539824 +239 300 1 889178513 +118 320 5 875385386 +551 318 5 892776824 +7 286 4 891350703 +429 763 4 882387053 +251 978 2 886272585 +394 313 5 883304657 +573 194 4 885844431 +99 300 4 885678397 +506 663 4 874874947 +497 407 2 879309852 +450 385 4 882396489 +450 282 5 882377653 +69 236 4 882072827 +507 147 5 889965997 +275 257 3 876197645 +121 100 4 891388035 +308 56 5 887736924 +308 646 5 887738508 +523 50 5 883700186 +552 322 3 879220760 +499 136 4 885599447 +328 44 3 885047864 +541 560 3 883874872 +508 82 3 883777145 +537 242 3 886028498 +195 198 3 884420000 +453 424 1 888206768 +406 240 4 879540078 +549 866 4 881672573 +567 1019 5 882425874 +54 295 3 880936905 +485 538 3 891040560 +496 181 5 876064168 +532 155 4 888630086 +456 743 2 881372256 +363 831 1 891498469 +406 357 4 879446108 +243 1197 4 879988337 +144 319 3 888103509 +456 170 5 881373353 +332 237 5 887916529 +311 468 4 884365140 +352 12 4 884290428 +62 83 5 879375000 +194 8 3 879521719 +209 285 5 883417613 +500 28 3 883874078 +49 640 1 888066685 +444 515 4 891979402 +390 302 5 879693461 +118 55 5 875385099 +533 127 5 879192278 +201 803 2 884112282 +269 56 5 891455815 +561 204 3 885808716 +510 286 3 887667439 +567 636 4 882427155 +455 380 3 879112654 +7 613 4 891352010 +176 328 4 886047375 +569 111 3 879793948 +562 443 5 879196604 +291 998 1 875086728 +29 300 3 882820897 +416 237 3 876697330 +428 243 4 885943713 +144 1 4 888104063 +425 1596 2 878738695 +1 93 5 875071484 +489 687 3 891445439 +89 702 5 879459999 +416 1300 3 886315494 +92 120 2 875642089 +538 211 4 877109986 +425 566 2 878738695 +435 327 3 884130765 +56 173 4 892737191 +393 147 5 887744549 +459 250 5 879563270 +478 427 4 889388633 +303 1089 1 879544978 +488 419 3 891294976 +450 305 4 885944806 +417 1 4 879646413 +536 603 4 882359653 +84 95 4 883453642 +322 603 5 887314417 +276 755 3 874792870 +200 401 2 884130085 +236 9 5 890116792 +451 336 4 879012811 +502 338 4 883702370 +536 69 5 882359938 +435 584 3 884132297 +308 371 3 887738469 +416 934 2 876698178 +343 297 5 876403283 +337 380 4 875185319 +479 500 4 879461255 +184 508 4 889907738 +189 527 5 893265327 +321 60 4 879440954 +13 222 3 882140285 +87 281 4 879876074 +479 632 5 879460785 +437 12 5 880382685 +545 226 3 879899438 +195 1413 2 877835268 +397 345 4 889760663 +435 715 3 884133635 +70 208 4 884149431 +436 761 4 887770693 +104 13 3 888465634 +225 427 5 879539615 +419 617 4 879435628 +346 470 3 874948513 +543 513 4 874863035 +56 111 2 892683877 +187 428 4 879465308 +557 294 3 880484929 +138 513 5 879024043 +454 474 4 881959917 +561 343 4 885807035 +357 123 4 878951864 +457 172 5 882553113 +267 169 5 878972614 +406 212 2 879793210 +95 25 3 879192597 +450 275 4 882372178 +416 242 4 888819254 +299 129 4 877877733 +64 425 4 889739051 +339 235 3 891036387 +473 116 5 878157544 +221 108 3 875244866 +476 194 5 883364143 +452 99 3 875562410 +448 321 4 891888509 +428 272 5 885943651 +276 1042 1 874795823 +393 999 4 889730187 +416 1051 3 886319079 +496 136 1 876066424 +263 527 5 891299148 +479 127 5 879460192 +537 736 3 886031634 +537 470 2 886032029 +454 1 3 881959818 +378 257 4 880045207 +7 47 5 891352692 +43 660 4 883955859 +123 523 3 879872406 +151 761 3 879542813 +496 135 2 876066038 +406 434 5 879446269 +11 742 3 891902815 +424 172 3 880859385 +537 258 4 886029286 +42 924 3 881105677 +329 174 4 891656639 +567 252 1 882427384 +255 682 5 883215759 +441 288 2 891035056 +463 362 1 889943741 +498 512 5 881957757 +514 423 5 875462568 +311 501 5 884365954 +527 143 2 879456289 +94 22 4 885872758 +118 396 5 875385335 +484 293 5 881254899 +542 693 4 886533395 +308 24 4 887738057 +536 50 5 882318139 +89 321 4 879441049 +480 166 5 891208185 +463 1605 2 877387935 +456 505 4 881373473 +276 289 2 890979634 +239 132 5 889178986 +312 185 5 891699121 +313 95 3 891014313 +554 286 4 876231521 +6 501 5 883602730 +374 665 4 880939228 +474 203 5 887926059 +339 528 5 891033044 +184 651 3 889908462 +552 301 4 879220720 +109 1228 3 880582758 +457 31 4 882397543 +486 300 4 879874388 +435 825 3 884133372 +362 748 1 885019592 +234 1453 2 892335415 +501 282 4 883348185 +450 873 3 882216475 +487 68 5 883530949 +344 121 3 884899792 +535 1149 4 879618288 +505 151 3 889334162 +533 19 3 879365781 +6 259 1 883268375 +339 415 3 891035553 +576 9 3 887168978 +90 509 5 891383866 +264 202 5 886123596 +186 98 5 891719859 +291 569 3 874868580 +385 1007 3 879439949 +181 1331 1 878962052 +567 482 5 882425966 +417 174 3 879647498 +543 1262 2 876382812 +207 55 3 875509395 +399 69 3 882342019 +567 615 4 882425932 +532 500 5 889235367 +533 98 4 879438543 +354 116 5 891216692 +474 135 5 887924424 +206 1024 1 888180049 +130 1095 3 876251192 +399 186 4 882342669 +303 1110 1 879543939 +479 121 4 879460236 +533 435 4 879438455 +512 97 5 888579520 +434 1152 5 886724633 +18 177 3 880131297 +474 708 4 887927339 +119 168 5 874781351 +323 933 3 878739393 +305 793 5 886324712 +342 197 4 875318988 +60 12 4 883326463 +308 945 4 887739136 +44 450 2 883613335 +354 531 4 891217897 +529 873 4 882535091 +295 95 4 879518080 +387 194 3 886480206 +314 22 4 877889724 +429 48 3 882384896 +173 302 5 877556626 +308 494 5 887738570 +550 255 3 883425388 +537 681 1 886029488 +456 42 4 881373655 +313 1 4 891013436 +459 300 4 879561574 +523 1022 4 883699629 +453 79 3 888207161 +533 47 1 879191998 +5 452 1 878844397 +60 166 4 883326593 +561 584 3 885809781 +245 1047 3 888513393 +274 276 4 878945437 +194 1066 3 879554383 +471 8 5 889827881 +533 54 4 888844601 +379 385 2 882563616 +466 183 3 890284766 +251 282 4 886272223 +397 340 2 882838664 +491 190 4 891189631 +18 198 3 880130613 +343 703 4 876404426 +256 66 4 882165103 +306 756 3 876504472 +405 68 1 885547996 +202 1 3 879727059 +125 105 3 892839021 +504 82 4 887837918 +499 651 4 885598895 +401 194 4 891033395 +499 87 4 885599598 +495 507 4 888633316 +222 1139 3 878185137 +26 458 3 891352941 +140 302 4 879013617 +325 183 3 891477980 +286 390 1 889652378 +524 291 4 884627777 +535 735 5 879619067 +280 748 2 891700080 +405 1209 3 885547645 +460 14 5 882912418 +493 327 5 884129868 +510 294 3 887667681 +328 912 3 893195852 +174 764 4 886434343 +49 90 1 888069194 +506 227 4 874875062 +546 672 3 885141438 +90 543 3 891383173 +352 82 3 884290328 +192 108 4 881368339 +234 1450 3 892335213 +244 156 4 880602517 +63 676 3 875747470 +416 827 4 878879350 +208 310 4 883108105 +346 712 3 875264985 +268 1222 2 875744174 +417 218 3 879648184 +498 591 4 881961877 +429 161 3 882385934 +357 151 5 878951728 +406 559 3 879792974 +472 561 5 875982050 +334 297 5 891544680 +417 248 4 879646286 +392 255 3 891038224 +465 97 2 883532120 +495 1135 5 888634475 +474 173 5 887924027 +536 133 4 882359477 +405 427 5 885545306 +577 471 3 880471640 +246 559 3 884922898 +474 463 5 887927457 +406 234 4 879792863 +573 143 2 885844339 +456 720 3 881375515 +540 109 4 882157194 +261 125 5 890456142 +318 58 4 884496243 +347 1012 4 881652590 +336 111 3 877756999 +573 192 4 885844535 +554 546 3 876231886 +190 989 3 891033327 +532 538 4 881048155 +340 143 5 884990669 +130 100 3 874953558 +470 295 3 879178455 +416 298 4 876697387 +190 313 5 891033606 +92 265 4 875657620 +415 480 5 879439960 +1 8 1 875072484 +217 183 3 889069741 +271 357 5 885848408 +573 127 4 885843596 +542 367 4 886532881 +498 1083 3 881961932 +536 584 5 882360530 +49 698 2 888066776 +253 679 3 891628578 +533 240 1 879192474 +75 825 1 884050393 +198 98 4 884207611 +128 419 3 879967268 +466 117 5 890285034 +416 585 1 886318085 +553 478 4 879948964 +124 474 3 890287221 +73 382 4 888626496 +525 237 4 881085893 +56 78 3 892910544 +328 301 2 885044607 +90 954 4 891385522 +286 461 2 877532930 +449 273 4 879959003 +38 259 3 892428754 +276 391 2 874977442 +90 650 5 891384516 +110 1249 3 886989612 +29 286 5 882820663 +407 289 3 875115339 +496 222 3 876064290 +269 302 3 891446132 +174 417 4 886515490 +235 192 4 889655298 +72 194 4 880037793 +334 163 4 891548602 +506 550 4 885135881 +406 705 4 879445935 +2 291 3 888551647 +535 479 4 879617977 +262 288 3 879961374 +313 443 5 891013971 +178 819 2 882824670 +311 356 4 884365653 +539 19 5 879788007 +434 147 3 886724822 +474 461 5 887924683 +567 613 4 882426927 +463 235 2 877385457 +543 231 3 877545230 +513 265 5 885062919 +563 367 4 880507083 +326 654 1 879875151 +59 514 5 888204641 +290 125 3 880475245 +467 7 5 879532385 +496 1063 3 876066485 +457 144 5 882397494 +472 431 5 875982607 +214 166 4 891544512 +535 502 5 879618502 +454 12 3 881960114 +506 654 4 874876486 +299 58 3 878192601 +453 586 2 892447163 +244 268 5 880601904 +542 1218 3 886532762 +84 300 4 883449419 +422 127 4 875129839 +43 79 4 875981335 +235 431 2 889655490 +188 100 4 875074127 +62 195 5 879373960 +553 482 4 879948831 +478 161 3 889396645 +269 134 4 891448849 +257 129 4 880008245 +536 217 3 882360601 +518 370 4 876823963 +527 50 4 879455706 +449 702 5 880410778 +504 63 3 887912504 +339 942 4 891034484 +500 89 4 883873505 +189 13 4 893264220 +183 356 3 891466447 +99 471 4 885679091 +44 121 4 878346946 +497 625 3 879310021 +279 403 1 879573060 +354 216 3 891217782 +279 890 3 882146458 +1 205 3 878542909 +410 347 1 888626538 +409 1379 3 881106451 +293 591 3 888904712 +429 768 3 882387551 +579 1 4 880951740 +322 302 5 887314417 +514 318 4 875318331 +299 483 5 877880961 +363 264 3 891494049 +43 785 3 883956538 +109 164 5 880578066 +419 14 5 879435828 +574 300 4 891279012 +533 258 4 884007368 +49 96 1 888069512 +201 207 3 884111360 +465 12 4 883530088 +166 286 1 886397562 +417 73 3 879648343 +472 393 3 875983129 +188 97 5 875071891 +521 176 4 884477820 +498 23 4 881955596 +409 526 3 881107117 +474 653 4 887926999 +519 336 5 883248595 +393 173 5 887745759 +500 70 4 883875388 +312 208 5 891698334 +490 124 4 875427629 +308 568 5 887740649 +506 56 4 874873374 +151 204 4 879524641 +487 38 2 884052069 +402 273 4 876267014 +425 670 3 878738914 +401 153 2 891033466 +551 274 2 892783488 +393 825 4 887745230 +450 195 4 882371826 +311 639 4 884365686 +189 603 5 893265239 +290 435 3 880473802 +22 175 4 878886682 +385 444 1 879448994 +393 588 4 887746824 +407 100 5 875042905 +447 147 4 878854678 +171 315 4 891034835 +487 298 5 883442431 +474 684 4 887925977 +181 100 3 878962816 +454 58 4 881960029 +399 471 3 882340719 +385 739 1 879448665 +459 120 2 879563392 +70 576 2 884065248 +450 299 2 889568793 +405 1422 1 885548632 +561 582 4 885808796 +542 721 2 886533003 +452 491 4 875261100 +485 341 4 891042027 +342 194 3 875318858 +342 144 5 875319912 +523 792 4 883702263 +543 175 3 874864182 +59 61 4 888204597 +442 665 2 883390139 +21 854 5 874951657 +472 177 4 875981358 +136 204 4 882848866 +484 578 3 891195444 +334 937 3 891544367 +335 323 4 891567125 +417 855 2 879647450 +456 608 4 881373168 +409 382 4 881108170 +479 304 4 879459692 +296 294 1 884196374 +117 210 4 881012293 +551 237 4 892777825 +318 842 2 884495742 +454 603 4 881959876 +403 845 4 879786052 +344 322 2 889814470 +336 100 3 877756934 +194 73 3 879527145 +311 519 3 884365548 +421 87 4 892241736 +373 173 5 877098751 +426 488 5 879442785 +23 203 4 874786746 +560 203 4 879975613 +152 364 4 884019146 +60 609 3 883327923 +378 572 3 880333995 +164 100 5 889401998 +542 28 4 886533452 +537 516 3 886030966 +577 229 4 880475094 +328 755 3 885048801 +457 744 3 882393457 +234 873 3 891034007 +367 672 4 876689991 +521 474 3 884477677 +95 200 2 888954552 +399 58 3 882344942 +237 238 4 879376435 +130 215 5 875802035 +277 50 3 879543652 +483 612 3 878953751 +158 92 4 880134407 +1 234 4 876892355 +92 450 2 875907134 +417 214 5 879647254 +116 358 2 876452094 +16 234 5 877720185 +392 328 3 891037634 +340 662 2 884991584 +450 153 5 882374422 +426 204 3 879442128 +500 252 2 883865889 +29 480 4 882821989 +181 767 1 878963381 +479 101 4 879462185 +57 109 4 883697293 +401 9 3 891032218 +87 1049 3 879876812 +454 28 4 888267560 +131 293 3 883681442 +379 659 5 880568307 +528 193 4 886101873 +452 1089 1 876215899 +286 211 4 879781579 +517 283 4 892660728 +533 295 4 888844601 +511 895 4 890004863 +399 180 3 882345001 +50 1008 5 877052805 +533 879 3 892469600 +224 469 1 888104219 +567 302 4 882426300 +547 301 3 891282680 +234 178 5 892078890 +347 508 3 881652629 +85 229 3 882813248 +64 969 3 889737889 +267 235 3 878970578 +244 3 5 880602451 +378 1400 3 880057088 +342 699 4 875319808 +538 195 4 877108919 +297 13 3 874955210 +450 381 2 882374497 +286 179 5 889651822 +455 402 4 879112356 +141 292 1 884584906 +496 99 3 876066598 +531 323 5 887049081 +181 282 4 878962816 +519 1592 5 883250148 +504 428 3 887910511 +507 245 5 889964809 +285 100 4 890595636 +545 447 3 879899978 +496 509 3 876067272 +497 67 3 879362858 +503 405 3 879438685 +406 20 3 879446529 +13 13 5 882141617 +290 228 4 880473556 +116 252 2 876453376 +531 289 3 887048862 +363 317 5 891495596 +514 204 5 875318331 +442 318 4 883391046 +174 553 5 886513674 +472 229 5 875982560 +401 451 2 891033343 +532 1496 2 874795634 +161 132 1 891171458 +487 1035 4 884044329 +256 36 3 882165269 +109 125 5 880564534 +551 582 5 892783749 +207 514 4 877878343 +87 783 4 879877279 +425 307 4 890346411 +95 89 3 879196353 +299 255 2 877878036 +405 421 1 885549309 +538 956 3 877107914 +569 222 3 879794265 +3 258 2 889237026 +514 243 2 885181043 +327 1101 4 887746665 +555 168 4 879975419 +405 1518 2 885546577 +576 280 5 886985003 +244 1057 4 880608992 +347 258 4 881652077 +280 731 3 891702049 +534 930 4 877808002 +339 498 4 891033044 +425 144 4 878738335 +562 56 1 879195156 +327 273 2 887745911 +180 660 5 877372188 +215 99 4 891435731 +194 624 2 879525695 +84 203 3 883453587 +59 234 5 888204928 +497 1052 2 879309869 +84 597 3 883452200 +506 554 3 885135912 +276 323 3 874786392 +406 274 3 879539987 +561 469 4 885809099 +540 245 3 882157172 +156 187 5 888185778 +406 746 3 880131741 +94 80 2 891723525 +314 1014 3 877886317 +573 661 4 885844431 +222 284 3 877563462 +405 397 4 885548094 +293 550 1 888906781 +284 345 4 885328728 +187 660 5 879465744 +481 238 4 885828245 +299 732 4 889502688 +553 427 5 879948508 +548 255 4 891043852 +474 419 4 887925916 +279 81 4 875732652 +429 132 3 882385636 +545 810 4 879899523 +157 313 5 886889616 +291 975 2 874834146 +527 181 4 879456464 +458 180 4 886397679 +291 164 4 874834875 +459 225 3 879563777 +429 535 2 882386941 +562 636 2 879195007 +500 1324 2 883865985 +534 24 5 877807780 +1 105 2 875240739 +229 300 2 891632142 +299 652 3 877880522 +374 458 5 880393710 +211 491 3 879459876 +251 742 5 886272486 +524 707 4 884634995 +379 174 5 880525368 +222 569 2 878184866 +486 1017 3 879874970 +201 521 2 884111637 +545 54 4 884134519 +84 117 4 883450553 +151 609 4 879525075 +357 1277 5 878951918 +521 90 2 885254006 +338 474 4 879438627 +139 297 5 879538275 +455 191 5 879111422 +337 250 3 875185219 +194 997 3 879553988 +243 514 4 879989006 +313 88 2 891028956 +277 1283 2 879543592 +1 147 3 875240993 +424 427 4 880859346 +13 790 2 882141841 +508 443 4 883777071 +326 423 3 879876159 +441 751 4 891035247 +453 143 2 888206053 +62 98 4 879373543 +57 871 3 883697536 +366 217 5 888857990 +459 687 3 879561782 +354 98 3 891218312 +361 56 4 879440516 +115 23 5 881171348 +197 245 4 891409352 +577 284 4 880470732 +469 127 4 879525373 +251 275 4 886271675 +472 655 5 875982397 +484 924 5 880937157 +125 181 5 879454139 +95 77 4 880571746 +558 936 5 879436396 +239 498 4 889179623 +294 1081 3 889242328 +13 621 4 882398934 +307 395 3 877121789 +436 179 3 887770015 +532 1046 4 874790629 +200 68 5 884129729 +151 215 3 879524420 +71 248 3 877319446 +557 8 5 881179653 +332 123 4 887916653 +566 33 2 881650907 +276 358 3 874786419 +109 986 2 880572382 +530 322 4 886203949 +216 11 5 880234346 +493 746 4 884131143 +276 395 2 877935377 +567 7 4 882426622 +14 428 4 879119497 +478 98 5 889388862 +52 815 4 882922357 +58 640 5 884304767 +486 258 5 879874064 +450 231 3 887662002 +299 634 2 877880852 +564 333 3 888718521 +83 25 2 883867729 +399 43 3 882348664 +130 250 3 876250833 +381 16 4 892697266 +95 1188 2 880572787 +500 498 4 883873911 +561 501 3 885808620 +95 705 5 880570964 +495 1119 4 888634784 +457 230 4 882392853 +334 13 3 891545089 +253 895 4 891627893 +342 1170 3 875319659 +234 25 3 892335797 +72 228 1 880037204 +342 326 1 874984002 +406 72 3 880131954 +506 1073 4 874873247 +486 127 5 879874448 +556 520 5 882136441 +421 333 4 892241236 +509 310 1 883590443 +24 173 5 875323474 +534 595 4 877807747 +378 756 3 880057088 +447 1 3 878854273 +467 276 5 879532460 +137 1 3 881433048 +537 327 2 886028730 +543 85 2 877547580 +537 447 3 886031752 +334 127 4 891544840 +551 91 1 892783025 +354 169 3 891217511 +226 182 1 883889322 +505 402 5 889333937 +424 333 5 880859228 +151 26 3 879542252 +21 559 1 874951761 +498 1422 3 881961877 +401 172 3 891032896 +291 55 4 874834735 +398 229 3 875744031 +291 1217 3 874834850 +137 892 3 882809210 +343 58 4 876406283 +405 1442 1 885546835 +87 127 4 879876194 +523 1009 5 883701154 +280 729 2 891700963 +188 468 4 875073329 +472 473 4 875978867 +517 873 3 892660034 +370 107 4 879435244 +452 513 4 875561734 +466 302 5 890284651 +479 181 5 879460028 +86 683 5 879570974 +560 118 3 879976892 +294 269 5 877818457 +334 483 5 891628266 +385 508 2 879439728 +442 177 4 883390366 +158 544 2 880132638 +368 672 2 889783453 +416 689 4 885114578 +488 259 1 891293051 +13 871 2 882141924 +546 118 5 885141260 +521 173 4 884477896 +519 243 1 883250021 +85 143 4 879456247 +417 183 4 879647298 +276 634 4 874795888 +83 111 3 884647519 +472 748 5 875977682 +488 845 3 891294853 +200 760 4 876042753 +142 176 5 888640455 +533 283 3 879365733 +369 919 5 889428642 +280 174 3 891700588 +548 147 5 891415540 +286 969 5 878142001 +168 325 1 884287073 +405 504 2 885548579 +1 99 3 875072547 +28 227 4 881961393 +77 127 2 884732927 +572 300 4 879449243 +264 26 4 886123727 +181 977 1 878962997 +392 172 5 891038401 +454 661 4 881959991 +390 283 4 879694316 +474 132 4 887924683 +94 686 4 891720540 +195 143 5 875771441 +559 188 5 891034609 +393 64 4 887745973 +504 1439 4 887840517 +575 215 3 878148229 +49 433 5 888068739 +401 365 4 891033497 +222 1011 4 881061049 +536 271 3 882317149 +501 406 3 883348656 +301 109 5 882074236 +243 736 4 879988520 +537 151 2 886030177 +72 241 4 880037242 +503 233 5 879454811 +5 395 2 879198898 +483 538 2 886470912 +435 385 5 884131771 +493 235 2 884130593 +584 114 4 885778238 +189 630 4 893266376 +407 181 3 875045027 +560 319 4 879975173 +498 98 4 881957681 +280 315 5 891700184 +543 15 3 888209697 +535 22 3 879619107 +108 748 3 879879662 +113 237 3 875076246 +554 87 4 876550654 +430 1240 3 877226470 +504 237 3 887831753 +551 316 5 892696165 +385 256 4 879439728 +546 286 2 885139580 +493 343 3 884130074 +218 8 3 881288574 +379 205 5 880524973 +311 621 4 884365579 +102 436 2 888803051 +394 98 5 880887088 +564 750 3 888718771 +332 679 5 887939021 +455 24 3 879111662 +576 825 4 886986304 +87 1181 3 879875940 +457 143 5 882548099 +497 139 3 879363696 +16 531 5 877722736 +398 525 3 875908134 +378 203 4 880055239 +349 121 2 879465712 +278 315 4 891294932 +262 486 5 879794296 +311 416 4 884365853 +247 300 2 893081411 +72 655 5 880037702 +104 111 1 888465675 +288 880 1 886373007 +61 300 5 891206407 +398 502 3 875717717 +334 221 5 891544904 +301 568 4 882076538 +299 249 3 877878414 +236 692 4 890116670 +416 403 5 893212730 +64 196 4 889737992 +508 1 5 883777430 +6 530 4 883601203 +381 479 5 892696929 +200 758 3 884127370 +276 433 4 874791960 +201 1135 5 884140750 +346 100 3 874948426 +1 1 5 874965758 +320 241 4 884750968 +405 651 5 885545167 +543 1194 4 875659174 +318 26 5 884497471 +87 435 5 879875818 +41 414 4 890687550 +405 904 1 885549904 +533 234 2 879191373 +378 126 4 880057018 +18 98 5 880129527 +42 237 4 881105882 +92 5 4 875654432 +320 808 4 884749359 +407 565 3 876348702 +406 1065 2 882480567 +15 546 2 879456324 +394 265 4 880888390 +514 682 4 875463891 +526 346 3 885681860 +489 260 3 891366693 +148 151 4 877400124 +276 241 4 874792402 +454 118 4 888267128 +357 273 5 878951457 +387 127 4 886479575 +59 651 5 888204997 +425 340 4 890346264 +450 865 4 887136139 +435 211 4 884131627 +437 134 5 880139951 +416 194 5 893214041 +557 257 2 880485764 +222 175 3 878181739 +452 294 2 886148704 +16 385 5 877727192 +184 694 5 889908824 +405 606 3 885545070 +210 657 4 887736429 +181 307 1 878962006 +532 568 5 892521554 +498 1007 3 881954219 +246 198 4 884922196 +416 251 5 893213405 +343 57 5 876404426 +429 3 2 882386785 +551 566 5 892783212 +243 458 4 879987397 +361 83 3 879440345 +524 237 3 884322169 +588 31 3 890015722 +565 179 5 891037778 +538 405 3 877109564 +151 132 5 879524669 +497 792 3 879362954 +450 484 3 887662002 +500 584 1 883874528 +587 995 3 892871503 +506 490 3 874873529 +361 23 5 879441215 +145 515 5 875270394 +485 294 1 891041103 +469 654 4 879524177 +269 1040 1 891456425 +77 641 5 884733621 +569 1 4 879793399 +408 312 3 889680073 +429 157 4 882384920 +474 71 5 887926872 +488 70 3 891294854 +387 229 2 886483195 +506 28 4 874874308 +13 801 3 886303172 +249 135 5 879572668 +393 1063 4 889554540 +496 625 4 876067306 +323 873 3 878738949 +269 523 5 891447593 +373 214 4 877100326 +450 1033 3 882468401 +498 164 3 881961689 +488 28 4 891293805 +336 998 1 877757062 +94 797 2 891723848 +94 391 3 891723644 +438 100 4 879868024 +453 385 3 888207161 +14 210 5 879119739 +378 1042 3 880056287 +546 98 5 885141332 +553 131 5 879948655 +302 301 4 879436820 +380 182 3 885478391 +569 3 1 879795551 +479 190 4 879461354 +314 1519 4 877892181 +246 235 3 884921965 +446 302 4 879787730 +177 135 5 880130712 +458 469 4 886397377 +93 283 4 888705146 +363 650 2 891495197 +493 265 5 884131048 +100 349 3 891375629 +286 82 3 889651605 +85 955 4 879454400 +160 933 3 876767621 +20 174 4 879669087 +347 181 5 881652377 +567 1131 4 882426601 +59 410 3 888203270 +535 283 4 879618160 +503 654 5 879454753 +553 604 5 879949107 +524 866 2 884626810 +557 508 4 880485956 +305 135 3 886323189 +354 88 2 891307206 +457 549 4 882398178 +380 956 4 885478271 +567 1204 5 882427023 +272 205 5 879454726 +568 606 5 877907720 +387 8 4 886480108 +276 24 4 874792366 +504 51 4 887839260 +13 551 1 882397084 +405 1470 2 885549045 +393 1000 3 889731139 +449 410 3 879959134 +328 97 3 885046174 +184 639 3 889909590 +399 117 2 882347620 +568 835 4 877907157 +478 218 3 889396731 +574 315 3 891278860 +199 100 3 883782807 +569 283 4 879793847 +450 199 5 882371732 +193 23 4 889126609 +577 996 3 880475094 +529 323 4 882535091 +305 251 5 886321764 +290 176 4 880473971 +468 475 4 875280041 +504 396 2 887911369 +268 184 4 875310524 +346 183 4 874948382 +24 289 3 875245985 +12 591 5 879959212 +514 408 5 875311225 +474 7 5 887915414 +502 358 4 883702518 +363 380 4 891496481 +91 127 5 891439018 +536 21 3 882320267 +193 403 3 889125945 +64 144 3 889737771 +586 628 3 884064631 +492 186 3 879969539 +214 171 4 891544323 +556 479 5 882136162 +73 179 5 888626041 +308 275 4 887737891 +280 409 3 891702441 +271 546 2 885848102 +49 557 3 888066394 +514 1014 2 885180645 +311 133 3 884364652 +118 641 5 875385386 +497 810 3 879310941 +436 1468 5 887770668 +60 637 4 883327975 +405 1478 1 885546636 +468 612 4 875294549 +301 197 5 882075774 +184 203 3 889908571 +527 324 3 879455415 +157 286 5 874813268 +493 763 4 884130593 +560 756 2 879977032 +497 229 2 879310850 +90 990 3 891382522 +303 215 5 879467413 +378 686 4 880056350 +417 555 1 879649389 +164 515 4 889401906 +402 286 5 876266650 +467 298 4 879532385 +484 588 5 891195773 +201 231 2 884310104 +276 388 2 874792094 +363 423 3 891495711 +576 435 4 886986400 +181 117 2 878962918 +585 1488 4 891283921 +447 65 3 878856422 +119 412 4 874775136 +91 210 5 891439208 +541 465 4 883874716 +222 732 4 878183425 +455 1034 2 879110767 +429 356 3 882386942 +201 466 4 884113453 +464 301 4 878354829 +288 190 1 886374286 +435 752 3 887509539 +47 683 3 879439143 +587 748 1 892871438 +320 800 4 884751190 +378 729 4 880046069 +562 462 5 879196074 +59 610 4 888205615 +559 73 4 891035812 +416 1516 5 893213549 +291 941 4 874868284 +536 511 5 882359603 +13 795 2 882399219 +313 632 4 891013620 +489 873 3 891447008 +64 423 4 889739569 +532 1415 2 892520390 +216 569 3 880245291 +533 430 5 879191972 +145 294 4 875269871 +181 876 1 878961781 +405 184 1 885547952 +416 591 5 893212895 +524 541 1 884702593 +560 864 3 879976970 +399 1244 3 882341607 +393 243 4 887742916 +385 18 5 884915008 +508 216 5 883768886 +527 193 3 879455680 +494 322 2 879540819 +151 474 5 879524222 +416 9 5 893212572 +57 284 3 883697158 +44 737 1 883613298 +519 263 5 883250102 +522 523 5 876961133 +464 294 4 878354721 +416 469 4 893141989 +468 293 5 875280395 +28 609 3 881956220 +495 742 5 888632888 +588 721 5 890023722 +250 258 4 878088969 +334 68 3 891548387 +201 230 3 884112487 +506 82 5 874873745 +546 288 4 885141260 +234 432 4 892079722 +354 258 4 891180399 +138 12 5 879024232 +416 286 5 893212929 +551 121 5 892783411 +472 362 5 892790627 +13 603 4 884538571 +283 21 3 879297867 +369 890 3 889428268 +550 323 5 883425465 +536 582 2 882360100 +488 9 4 891294063 +486 936 3 879874629 +357 476 3 878951616 +402 515 5 876266860 +387 428 4 886482969 +299 915 4 892250102 +326 181 4 879875592 +503 714 4 880383126 +321 174 3 879441111 +478 145 1 889398599 +232 269 3 891565001 +521 182 3 884477993 +394 233 3 881058062 +545 22 3 879899158 +518 7 3 876823197 +532 734 3 874791786 +378 99 4 880045791 +416 918 4 893214332 +399 754 3 882340242 +206 749 2 888179980 +458 32 4 886395963 +402 10 2 876266985 +211 230 3 879460294 +207 462 3 877845656 +416 1 5 893212483 +294 237 4 889242035 +200 63 4 884130415 +342 125 2 875318585 +536 31 3 882360685 +392 515 5 891038110 +445 235 1 891200272 +489 689 5 891447913 +102 1240 2 883748450 +456 410 4 881372160 +109 722 3 880583493 +425 232 3 878738548 +417 518 5 879647604 +389 739 2 880088229 +500 535 3 890010025 +577 204 4 880474338 +517 111 3 892659922 +473 25 4 878157427 +493 98 4 884131460 +264 645 4 886123358 +201 1421 3 884141015 +318 70 5 884496368 +429 238 5 882384526 +428 312 4 885944005 +405 1193 1 885549506 +549 50 5 881672199 +269 191 5 891457067 +391 58 4 877398898 +357 220 5 878951954 +535 42 3 879618849 +561 53 3 885810538 +347 371 1 881654715 +536 387 3 882363919 +291 1 5 874834481 +215 1063 5 891436543 +201 1006 2 884112136 +343 950 3 876403121 +374 978 2 880936233 +320 570 4 884749384 +504 167 3 887909556 +520 274 3 885170516 +331 234 4 877196633 +38 1036 4 892433704 +345 226 3 884993418 +523 727 4 883703167 +389 642 4 880087804 +452 111 3 886061565 +551 161 5 892782936 +460 713 4 882912469 +325 82 3 891479263 +126 340 5 887854982 +334 151 4 891544925 +518 100 4 876822967 +283 294 4 879297013 +72 77 4 880036945 +189 207 5 893266161 +30 892 4 884310496 +278 313 5 891294932 +479 879 4 879459657 +336 1051 2 877757094 +462 271 1 886365928 +373 226 3 877107024 +440 921 5 891578264 +500 208 4 883873745 +110 258 4 886987183 +194 76 2 879549503 +454 121 4 888267128 +560 260 1 879977973 +311 539 4 884364268 +551 50 2 892776336 +263 699 4 891299207 +72 591 5 880035708 +561 109 1 885810271 +226 109 4 883889063 +401 1 2 891032170 +500 255 3 883865374 +401 276 4 891032433 +15 248 1 879455871 +565 212 5 891037453 +385 443 3 879445098 +560 423 4 879975586 +472 355 3 892790003 +339 566 3 891034717 +527 213 4 879456186 +227 14 4 879035463 +332 252 5 888098524 +556 48 5 882136252 +439 1048 4 882893602 +450 311 4 885945425 +504 655 4 887840713 +566 1232 2 881651126 +399 282 3 882340775 +567 221 5 882426927 +497 381 3 878759898 +289 125 2 876789373 +6 485 5 883602664 +533 378 4 879439290 +425 127 4 878738290 +141 831 2 884585470 +526 147 4 885682503 +514 732 5 875462901 +6 137 5 883599327 +561 489 4 885807743 +569 25 4 879793785 +198 191 4 884208682 +363 231 1 891497679 +586 665 3 884061256 +445 908 1 891199331 +405 1560 1 885549635 +41 188 4 890687571 +379 64 5 882563520 +251 147 3 886272319 +537 137 4 886029841 +399 77 2 882349094 +10 462 3 877891747 +533 65 4 879439465 +64 121 2 889739678 +429 404 4 882386121 +344 1142 5 889814518 +178 423 4 882826556 +371 393 2 880435397 +508 101 5 883777430 +561 1009 4 885810706 +276 1011 3 874836682 +455 223 4 879111554 +379 172 4 880525400 +450 433 3 882469061 +538 98 5 877107012 +254 181 5 886471151 +18 283 5 880130551 +529 292 4 882535180 +314 866 4 877892461 +561 15 3 885809291 +95 188 3 879196354 +504 1421 4 887841073 +295 121 4 879518455 +564 827 3 888731038 +507 827 5 889966088 +312 625 3 891699538 +587 327 3 892871252 +229 269 4 891633029 +283 409 4 879297442 +537 82 2 886031752 +235 496 4 889655662 +132 484 4 891278807 +197 228 4 891409894 +496 17 3 876065645 +59 975 4 888203610 +3 339 3 889237141 +137 680 5 881432735 +49 1083 2 888068651 +466 385 4 890284819 +453 963 4 888202307 +7 64 5 891350756 +130 565 3 880396541 +497 98 4 879361802 +282 300 3 879949438 +497 408 4 879309955 +485 245 3 891041782 +145 134 4 882181695 +88 319 3 891037708 +551 135 5 892778129 +280 389 5 891701913 +385 211 3 879446183 +372 333 5 876869109 +532 66 5 893118712 +409 1097 2 881108829 +194 13 4 879539410 +294 121 5 877819714 +537 417 2 886031831 +506 182 5 888848342 +479 1 5 879459939 +535 1124 4 879617613 +363 657 5 891494587 +311 399 4 884366269 +417 144 3 879647232 +453 69 4 877554647 +144 8 4 888105612 +582 948 1 882960718 +389 210 2 879990996 +298 514 4 884182989 +540 741 3 882157797 +362 322 3 885019651 +530 50 4 883781669 +480 642 4 891208822 +57 181 5 883697352 +476 209 4 883364218 +566 8 4 881650690 +345 464 3 884992084 +293 544 3 888905062 +379 144 5 880525367 +219 879 4 892039556 +253 220 4 891628060 +234 1461 2 892078297 +92 370 1 875644796 +380 506 3 885481179 +267 174 5 878971405 +196 287 3 881251884 +454 316 4 888015879 +391 511 5 877398855 +178 56 4 882825767 +533 479 4 879191184 +561 211 4 885808824 +39 270 4 891400609 +536 183 3 882359455 +399 941 3 882347577 +313 523 5 891014401 +551 616 5 892777052 +95 153 5 879197022 +503 246 5 884638548 +498 628 4 881961627 +77 246 5 884732808 +567 480 4 882426508 +301 455 5 882074437 +394 282 3 880888096 +507 300 5 889964239 +177 217 3 880131230 +327 301 3 887743725 +543 117 3 874861792 +206 683 1 888179980 +552 1277 3 879222763 +553 646 4 879949251 +210 301 4 887731435 +302 680 2 879437035 +435 122 3 884134677 +180 201 2 877127189 +480 165 5 891208390 +532 300 5 888635239 +216 257 3 880232830 +405 1206 1 885546530 +542 1059 4 886533193 +254 22 4 887347350 +405 802 1 885548049 +141 926 4 884585300 +509 300 3 883590800 +254 225 3 886475952 +420 475 4 891357162 +269 410 4 891446662 +343 471 4 876402941 +416 559 3 886317272 +584 258 4 885774483 +339 50 4 891032576 +194 549 3 879527263 +187 168 5 879465273 +303 721 4 879484194 +393 751 2 887741960 +12 708 3 879959394 +359 121 4 886453373 +342 547 5 875318347 +591 787 3 891031500 +524 497 2 884637467 +547 354 4 891282640 +438 255 4 879868242 +116 1214 3 876453422 +537 237 3 886030011 +460 676 4 882912285 +49 50 1 888067691 +137 210 5 881433654 +494 174 5 879541112 +69 98 5 882145375 +210 4 4 887730443 +406 699 4 884630617 +551 15 5 892782936 +53 1087 4 879443329 +472 117 3 875978740 +437 607 5 880140892 +566 1193 5 881649548 +504 563 3 887911314 +585 1347 2 891285658 +95 650 4 880572132 +455 42 2 879110767 +389 503 3 880087739 +500 179 4 883873782 +561 19 3 885808673 +579 845 4 880952549 +410 754 3 888626710 +271 509 4 885848559 +566 423 2 881649709 +305 1512 3 886322796 +62 1132 2 879373404 +178 9 2 882823758 +13 637 2 882396913 +533 190 2 879439379 +378 181 4 880045167 +415 269 4 879439108 +539 50 3 879788136 +386 24 4 877655028 +504 151 4 887831678 +194 467 5 879521253 +416 127 5 893213796 +504 210 4 887832643 +417 27 3 879648594 +437 660 4 880141441 +587 881 2 892871641 +363 518 4 891494835 +437 155 3 880143189 +314 379 3 877890463 +465 191 4 883530133 +465 199 3 883531026 +92 195 5 875652981 +588 365 5 890028385 +548 1405 3 891415572 +434 237 5 886724754 +420 408 4 891356927 +537 460 2 886030442 +197 265 5 891409893 +26 118 3 891385691 +486 250 1 879874753 +263 271 1 891297276 +255 564 1 883216600 +398 230 3 875908666 +416 432 2 878879861 +537 615 3 886031074 +228 750 3 889388440 +537 269 3 886028446 +527 156 3 879456334 +385 236 2 879439637 +561 1524 4 885809897 +313 333 4 891012877 +455 317 3 879111616 +543 207 5 875665787 +436 39 3 887769887 +488 199 4 891293911 +267 665 4 878973825 +31 319 4 881547788 +532 829 3 892520073 +248 176 5 884534808 +263 136 4 891298337 +561 518 4 885808620 +22 636 3 878888106 +7 603 4 891350757 +238 471 4 883576359 +20 820 2 879668626 +299 488 4 877881508 +314 845 5 877886483 +398 796 3 875732862 +177 963 4 880130736 +409 322 2 881105077 +276 1141 3 874790773 +552 14 4 879221649 +332 282 5 887916692 +314 196 3 877888212 +59 484 4 888204502 +479 358 1 879459732 +13 484 5 882139804 +561 1139 1 885810744 +90 20 4 891384357 +271 88 4 885849087 +588 204 5 890015323 +95 542 2 888954039 +246 981 1 884924765 +405 1471 1 885548670 +416 1217 4 886319366 +13 138 1 882399218 +296 237 5 884196785 +475 316 5 891627927 +30 174 5 885941156 +405 939 5 885545200 +533 9 4 879192414 +452 143 3 885805093 +405 1063 5 885548785 +561 678 2 885807080 +409 1524 4 881107666 +92 237 4 875640318 +501 181 4 883347857 +164 717 3 889402265 +401 64 3 891032757 +234 307 2 891033427 +15 235 1 879456424 +157 340 5 886889616 +553 98 5 879948996 +537 207 4 886030682 +533 1282 3 879773572 +435 148 3 884133284 +425 1089 2 878739095 +374 1513 2 883961242 +430 628 3 877225832 +561 468 1 885809291 +532 1210 4 888636373 +519 324 1 883248191 +473 137 4 878157357 +294 291 2 889242469 +591 1017 3 891039616 +311 77 5 884365718 +507 689 5 889964844 +404 270 4 883790749 +71 181 3 877319414 +524 525 3 884634615 +170 259 3 886623680 +581 50 4 879641698 +327 269 3 887737629 +144 61 3 888106182 +334 265 3 891545876 +22 24 5 878888026 +349 471 3 879465535 +411 566 4 892845634 +486 766 4 879874417 +303 1411 2 879483941 +442 53 3 883390048 +392 289 5 891037769 +23 224 5 874784638 +587 875 1 892871462 +535 238 4 879618809 +189 500 5 893266351 +379 576 4 880525678 +459 328 3 879561574 +308 216 3 887737789 +546 346 5 885139634 +208 517 3 883108398 +254 415 3 886475523 +539 131 4 879788159 +459 230 4 879564941 +11 357 5 891904241 +532 485 5 893119491 +405 537 1 885546445 +587 349 3 892871400 +399 735 3 882344512 +405 520 2 885546025 +484 50 5 881254239 +181 1059 1 878963440 +498 1142 4 881955432 +524 931 3 884627932 +457 132 5 882547619 +373 550 3 877105588 +62 651 4 879373848 +228 137 1 889388662 +13 117 3 882398138 +292 235 3 881104797 +429 627 2 882387114 +62 403 4 879375588 +456 1324 4 881371720 +150 288 4 878746174 +417 616 2 879648048 +561 124 3 885807842 +161 257 3 891172174 +214 462 4 892668197 +440 1191 5 891550404 +574 321 1 891279285 +336 290 3 877756934 +545 648 3 879899719 +83 406 2 891182431 +552 717 3 879222368 +343 153 5 876404539 +406 428 5 879446684 +363 678 1 891494012 +131 127 4 883681418 +104 294 3 888442404 +399 231 3 882350375 +18 973 3 880129595 +207 849 3 877822704 +397 878 1 875063722 +270 581 5 876955938 +244 401 3 880607424 +537 457 1 886029444 +500 660 2 883874835 +484 510 4 889974386 +378 620 3 880056582 +503 20 5 879438285 +268 544 3 875743090 +560 13 3 879976602 +523 629 5 883702125 +177 173 4 880130667 +455 462 3 879110436 +94 665 3 891723328 +528 310 3 888520371 +561 222 3 885807843 +451 881 4 879012721 +575 322 3 878146541 +555 87 4 879975505 +592 418 4 882956551 +145 282 5 875270570 +69 307 2 882027204 +393 797 3 889731138 +270 860 5 876956464 +553 307 4 879948235 +458 193 4 886396460 +54 546 3 880937583 +425 831 3 878739095 +487 1244 2 883444859 +516 310 4 891290565 +257 582 5 879547608 +374 483 3 880394716 +268 203 5 876513855 +422 1187 4 875130137 +580 825 4 884125339 +77 15 2 884732873 +551 959 5 892784166 +303 741 4 879466604 +264 1118 4 886123656 +271 285 4 885847876 +308 176 4 887736696 +334 955 1 891547563 +276 399 2 874792634 +316 83 4 880853992 +435 762 4 884132840 +532 153 4 888629670 +13 311 3 881514726 +128 924 3 879967341 +521 721 4 885253337 +60 404 3 883327287 +592 124 5 882607986 +88 313 3 891037201 +463 13 3 877385664 +75 13 5 884050102 +500 284 3 883865632 +401 1289 2 891032495 +537 7 4 886029727 +500 845 4 883865566 +303 780 5 879483900 +412 154 3 879717071 +456 13 4 881372604 +294 50 5 877819353 +495 214 5 888632219 +405 1553 1 885548632 +87 570 3 879876163 +592 50 5 882607872 +70 230 4 884064269 +586 148 3 884065745 +299 237 2 877877649 +92 737 4 875654125 +550 993 4 883425426 +543 176 4 874865635 +459 742 4 879562834 +11 727 3 891904335 +222 168 4 878181616 +405 1517 1 885547735 +57 405 4 883697459 +303 64 5 879466457 +566 83 4 881650148 +316 678 1 880853310 +487 794 5 883530503 +96 445 4 884403095 +450 1140 2 882471362 +338 135 5 879438570 +479 298 3 879459909 +537 241 3 886031540 +84 685 3 883452274 +13 12 5 881515011 +336 275 4 877759730 +294 928 3 889242468 +255 665 3 883216748 +92 271 2 880149111 +456 1218 3 881374921 +54 181 5 880931358 +592 204 5 882956158 +276 159 3 874795637 +8 273 3 879362287 +457 44 4 882548214 +460 591 2 882911603 +13 518 4 882140252 +474 503 4 887925838 +201 679 3 884310104 +582 246 4 882961082 +403 288 4 879785822 +314 121 4 877886221 +373 96 4 877098262 +271 277 4 885847714 +503 176 5 879454754 +551 307 4 892775516 +450 315 4 884098435 +154 874 3 879138368 +429 441 3 882386848 +102 187 3 888801232 +144 4 4 888105873 +85 1103 3 882995489 +389 423 5 880087461 +481 648 5 885828165 +22 684 3 878887983 +370 433 3 879434860 +286 396 4 877534414 +405 199 1 885546025 +405 1559 1 885546577 +351 888 4 879481589 +246 401 1 884923750 +329 331 3 891656639 +561 530 4 885807547 +439 300 4 882892424 +218 56 3 881288574 +449 558 4 880410599 +293 678 2 888904439 +288 121 2 886893063 +399 806 3 882344096 +49 71 3 888067096 +189 487 5 893265568 +178 87 4 885784558 +472 930 5 875979317 +425 147 3 878738643 +297 11 4 875240015 +497 145 4 879362382 +551 742 5 892782838 +374 48 5 880395426 +405 1032 1 885549044 +363 774 4 891498835 +465 318 4 883531487 +52 111 4 882922357 +456 182 3 881373228 +330 105 4 876545150 +145 603 5 875272009 +545 636 3 879899472 +48 209 5 879434954 +429 186 4 882385294 +387 582 3 886483497 +500 1326 4 883865020 +10 205 5 877888812 +181 1197 1 878962774 +551 238 5 892777638 +445 293 3 891199945 +328 195 3 885045899 +586 39 4 884061623 +447 981 2 878855139 +417 396 2 879649560 +178 200 3 882826983 +425 207 2 891986445 +405 415 2 885549005 +186 56 3 879023460 +342 866 1 875318585 +23 151 3 874784668 +435 318 5 884131385 +491 340 4 891189716 +189 7 3 893264300 +555 480 4 879975474 +197 373 1 891410124 +344 151 5 884899719 +328 1439 3 885048827 +178 226 4 882826187 +579 83 5 880952360 +476 710 5 883364324 +474 483 5 887924424 +503 204 3 880383703 +567 483 5 882425843 +10 663 3 877886598 +479 739 1 879461932 +267 53 4 878972842 +326 154 2 879875271 +255 5 2 883216599 +411 655 4 891035639 +291 829 2 874834308 +246 1044 1 884922869 +188 64 5 875071891 +449 753 5 880410700 +542 187 4 886533395 +394 172 4 880886919 +532 168 5 892519934 +42 627 2 881109271 +378 969 4 880056195 +206 1431 1 888180018 +81 283 4 876533504 +15 181 5 879455710 +299 965 4 889501260 +329 117 3 891655868 +36 288 4 882157227 +345 772 4 884993121 +10 467 4 877891904 +493 318 5 884132315 +435 260 3 884130810 +33 260 4 891964306 +101 147 4 877136506 +411 161 2 891035761 +270 79 4 876955938 +409 433 4 881108170 +323 144 4 878739988 +118 171 5 875384825 +549 252 3 881672538 +92 1018 4 875653769 +6 367 2 883602690 +154 174 5 879138657 +90 443 4 891385250 +406 960 2 879793376 +561 506 3 885809146 +399 727 4 882344722 +429 686 2 882385519 +25 116 4 885853335 +405 645 1 885546635 +268 174 5 875309882 +497 39 3 879310913 +561 497 4 885809064 +545 474 3 884134205 +16 12 5 877718168 +430 124 5 877225726 +577 662 4 880474933 +409 170 4 881107084 +567 1 3 882426899 +394 195 5 880886919 +405 461 3 885545639 +407 357 4 875042569 +592 297 5 882607844 +13 851 5 882139966 +435 95 3 884131868 +254 1028 2 886474619 +236 435 4 890115966 +405 807 1 885546680 +456 432 4 881374390 +561 1220 2 885810538 +7 157 5 891352059 +28 286 3 881955018 +590 285 5 879438735 +405 82 4 885547952 +387 238 5 886482928 +6 64 4 883600597 +416 1048 3 876698255 +416 824 2 876697592 +530 178 5 883787080 +463 50 4 890530818 +503 778 5 892667730 +164 1016 3 889402091 +506 747 2 874874629 +233 275 5 885147637 +280 140 4 891701223 +527 868 4 879456663 +396 405 3 884646314 +497 771 4 879362638 +515 315 4 887658604 +574 258 5 891278916 +543 591 4 876896210 +506 661 5 874874308 +397 457 1 875063722 +307 257 5 875645340 +421 164 4 892241687 +474 298 3 887915645 +532 818 2 888631077 +269 160 2 891448220 +503 45 5 880383064 +585 582 3 891282894 +566 480 4 881649471 +407 972 3 876340120 +59 498 5 888204927 +361 770 3 879441352 +243 162 4 879988459 +406 498 5 879445378 +409 204 5 881108496 +454 76 1 888266433 +38 418 5 892431026 +404 302 4 883790218 +447 17 3 878856110 +542 475 3 886532359 +298 588 4 884125022 +456 185 4 881372849 +435 317 2 884132483 +448 338 1 891888712 +290 141 4 880474740 +497 403 3 879310883 +435 436 4 884133691 +537 187 4 886030767 +374 463 1 880396511 +509 260 2 883591195 +326 317 3 879875243 +49 1071 3 888069138 +24 237 4 875323002 +92 949 3 875653664 +577 117 4 880471359 +579 528 4 880951708 +303 227 3 879542884 +85 495 3 882994860 +105 340 3 889214245 +537 313 4 886028446 +405 779 1 885548137 +111 303 3 891680028 +268 59 5 875309282 +416 864 3 888700529 +539 483 5 879788101 +551 185 5 892777885 +546 436 5 885141438 +405 1146 2 885546724 +435 435 3 884132230 +190 245 4 891033487 +401 121 3 891032662 +435 520 4 884132027 +267 159 4 878974659 +97 175 5 884239616 +94 484 5 891720996 +224 365 3 888104188 +551 355 4 892776041 +227 748 1 879035387 +428 334 4 885943847 +592 79 4 882955583 +543 238 3 874866319 +373 553 4 877100267 +324 323 4 880575163 +414 272 5 884998953 +253 190 5 891628278 +271 161 2 885849470 +399 1074 4 882345842 +506 54 4 874876651 +508 181 3 883767047 +288 268 4 886372812 +405 403 5 885546445 +494 924 4 879541475 +158 53 1 880134781 +455 65 3 879111396 +586 756 1 884067105 +269 318 4 891447791 +48 191 5 879434954 +480 265 3 891208390 +416 628 4 876697283 +60 73 4 883326995 +348 926 3 886523683 +488 299 3 891293051 +593 633 5 875671081 +486 305 3 879874218 +271 529 4 885848475 +13 233 4 882397650 +269 679 1 891449962 +453 401 3 888206038 +488 87 5 891294297 +194 159 3 879552401 +124 168 5 890287645 +364 319 3 875931309 +533 96 4 879438767 +158 221 2 880132421 +500 42 5 883874139 +434 148 3 886724797 +458 408 5 886396637 +109 156 5 880573084 +76 547 2 882607017 +7 595 2 891353801 +457 476 2 882392810 +561 1 2 885807713 +156 83 3 888185677 +474 258 4 887914688 +94 209 5 886008301 +440 243 1 891577504 +308 171 4 887738346 +158 111 4 880134261 +217 50 1 889069684 +98 25 5 880499111 +326 565 3 879877470 +94 200 4 891721414 +363 979 1 891497748 +76 1048 2 882607017 +87 50 5 879876194 +455 313 4 884649784 +354 1137 4 891219376 +592 969 4 882956718 +456 91 2 881373948 +586 559 5 884060807 +472 196 4 875982005 +95 198 5 880570823 +540 742 4 882157584 +449 1367 4 879958976 +524 31 4 884636205 +276 721 3 874791871 +85 1121 3 879454820 +406 813 4 879539824 +537 472 2 886030415 +239 589 3 889180978 +82 3 2 878768765 +408 302 5 889679683 +511 880 5 890004778 +52 19 5 882922407 +465 180 3 883530015 +391 191 3 877399336 +363 250 1 891499468 +194 134 2 879521719 +416 307 1 889907392 +270 559 5 876956442 +170 988 3 884706063 +451 687 2 879012510 +364 948 4 875931561 +282 343 4 881702939 +343 241 3 876407291 +391 11 3 877398951 +542 246 3 886532359 +396 282 4 884646052 +339 204 3 891033542 +405 509 1 885546112 +268 260 3 876513643 +583 83 4 879384338 +243 468 3 879988298 +429 154 3 882384683 +206 1395 1 888180081 +569 126 5 879793909 +328 161 4 885047670 +21 244 4 874951349 +174 278 5 886433833 +60 30 5 883325944 +568 269 4 877906547 +521 271 3 884475524 +234 417 3 892336119 +450 790 2 882374332 +548 1073 4 891044411 +106 25 4 881451016 +91 429 4 891439324 +517 369 5 892660727 +263 480 3 891298453 +537 467 3 886031634 +214 135 3 891544175 +393 905 3 887742851 +473 327 3 878156857 +523 166 4 883701018 +303 673 4 879468250 +457 934 3 882396092 +479 692 3 879461700 +279 158 3 875313351 +497 455 4 878759777 +318 191 5 884496069 +522 173 4 876961020 +26 748 1 891348192 +387 197 2 886483824 +541 274 4 883866093 +569 924 3 879793784 +94 506 5 891721642 +313 538 2 891014313 +262 420 3 879793854 +472 417 4 875982337 +506 530 5 874874110 +311 449 3 884365823 +450 371 3 887661961 +459 866 5 879563312 +183 375 2 891467545 +540 150 3 882157036 +301 3 2 882075082 +59 211 5 888206048 +576 181 4 887081041 +373 225 4 877106676 +118 564 1 875385335 +218 47 4 877488492 +524 607 3 884637314 +43 9 4 875975656 +124 174 3 890287317 +184 175 3 889908985 +435 229 2 884133544 +378 702 4 880056453 +537 922 3 886030442 +167 521 5 892738307 +59 226 4 888206362 +487 768 3 884025080 +524 290 2 884323525 +160 293 5 876767572 +119 879 5 875720232 +243 318 4 879988071 +308 202 4 887737084 +596 678 3 883538965 +457 373 2 882551189 +11 728 3 891905366 +119 459 4 887038711 +294 682 3 889241486 +472 123 4 875979317 +437 287 2 881000931 +405 22 5 885545167 +457 38 3 882549651 +435 797 3 884133872 +570 303 5 881262256 +401 493 4 891033370 +200 501 4 884129504 +460 7 3 882912205 +83 196 5 880307996 +525 412 2 881086757 +59 747 4 888205410 +592 20 4 882608315 +328 272 5 888641556 +545 144 3 879899125 +445 23 3 890987465 +599 682 4 880951079 +474 92 4 887927509 +234 477 1 892335108 +80 260 1 883605215 +115 174 5 881171137 +236 174 3 890116539 +468 181 3 875280041 +156 772 3 888185947 +385 122 3 883791694 +458 1070 4 886395963 +568 194 3 877907671 +233 143 4 877663383 +541 810 3 883871719 +587 879 1 892871536 +115 673 3 881171558 +593 392 3 886193788 +474 966 4 887925837 +466 324 1 890283690 +363 805 4 891497205 +524 724 3 884636444 +336 186 4 877757730 +262 72 3 879962366 +105 327 4 889214406 +478 518 4 889395638 +432 181 5 889416118 +448 304 3 891888137 +541 255 3 884046321 +119 301 4 886176779 +92 222 4 886440557 +213 187 5 878956022 +358 666 3 891269992 +201 334 4 884110927 +417 58 3 879647140 +437 497 5 880140192 +497 412 1 878759926 +56 408 4 892683248 +451 688 1 879012811 +244 716 3 880607641 +445 221 1 891200203 +495 504 4 888632546 +401 147 2 891032662 +472 4 3 875980418 +95 141 4 888954631 +550 300 4 883425652 +429 85 4 882387234 +357 274 4 878951784 +465 194 4 883531072 +234 188 2 892079288 +365 222 4 891303950 +535 168 5 879618385 +18 805 4 880131358 +13 661 5 881515411 +234 692 3 892335990 +525 332 4 881085178 +302 988 2 879436875 +181 19 1 878962392 +536 570 3 882361162 +276 356 3 874791101 +507 271 5 889964312 +249 148 3 879640361 +196 116 3 881251753 +472 80 3 875981230 +214 92 4 892668249 +114 646 4 881260473 +197 679 1 891409935 +577 684 4 880474394 +378 450 3 880334476 +452 485 2 875276589 +130 11 5 875216545 +503 134 5 880383588 +434 9 1 886724563 +291 38 3 874834914 +450 357 5 882373531 +548 657 5 891044411 +81 42 4 876534704 +576 70 5 886986361 +318 284 3 884470775 +19 211 4 885412840 +432 508 5 889415853 +303 979 4 879484213 +437 301 3 881002067 +423 689 4 891395020 +381 1532 2 892696831 +546 458 1 885140689 +291 22 5 874835062 +279 204 3 878082751 +537 90 1 886032029 +474 98 5 887924027 +471 102 5 889828081 +174 139 3 886515591 +553 496 3 879948460 +43 1056 3 883955498 +293 283 2 888904884 +18 709 5 880131028 +361 213 5 879440605 +181 129 2 878962279 +525 1011 3 881086274 +37 118 2 880915633 +463 813 4 877385125 +551 203 5 892782975 +433 95 3 880585802 +545 254 4 879898995 +136 237 4 882693597 +453 393 3 888207162 +479 216 3 879461399 +295 431 5 879518233 +495 650 5 888634956 +138 662 4 879024128 +193 742 4 889126673 +159 126 5 880557038 +308 566 4 887739014 +243 461 3 879988132 +201 644 3 884113924 +148 496 3 877015066 +533 708 2 879439167 +593 79 4 875671674 +350 210 4 882345918 +107 323 1 891264566 +177 64 4 880130736 +308 162 4 887739095 +437 1039 2 880140101 +303 709 5 879468021 +361 204 4 879440516 +94 549 5 891721528 +97 191 5 884239472 +305 181 4 886321799 +246 288 5 884922235 +589 313 5 883352434 +435 1228 2 884133972 +521 73 3 885253827 +195 93 3 891762536 +488 100 2 891293910 +301 1016 4 882074684 +373 393 4 877104284 +145 692 2 885557505 +497 384 2 879362985 +370 210 3 879434745 +329 194 3 891656429 +551 746 5 892777013 +489 539 4 891448834 +535 480 4 879618207 +503 430 5 880383653 +405 1404 1 885547360 +401 14 3 891032271 +270 1009 5 876954522 +495 389 5 888637643 +326 837 4 879875507 +535 521 5 879618809 +558 124 4 879435855 +535 629 4 879618776 +182 479 5 876436556 +548 235 3 891415746 +545 265 4 883115423 +523 575 4 883702800 +594 237 3 874784095 +348 756 4 886523735 +184 739 3 889910257 +474 641 4 887926436 +328 708 2 885048101 +207 127 5 875506634 +449 459 4 879958803 +326 228 4 879876861 +505 88 4 889334334 +256 203 4 882164867 +394 419 5 880887250 +561 62 3 885810144 +222 1336 2 877563998 +541 239 4 883865211 +435 451 4 884133487 +406 1118 3 880132091 +59 436 5 888206094 +347 544 4 881652862 +417 1157 4 880952616 +541 419 5 883874682 +566 71 2 881650958 +514 336 1 885180842 +568 923 3 877906995 +58 1012 4 884304627 +401 655 3 891033417 +498 144 1 881958471 +254 1033 3 886475034 +92 171 4 875652981 +257 475 5 879029716 +299 228 3 878191823 +538 692 3 877107765 +10 511 4 877888877 +52 1011 4 882922588 +577 95 5 880474747 +597 328 4 875339132 +293 70 3 888907101 +474 848 4 887926998 +453 591 3 877552969 +458 596 4 886395350 +533 380 4 879438510 +373 734 3 877111313 +543 810 3 877547004 +278 752 5 891295164 +577 188 3 880474715 +54 288 4 880928957 +344 298 4 889814571 +417 746 5 879648048 +472 951 1 875983426 +56 820 3 892683303 +95 208 4 879198353 +531 457 1 887049341 +283 208 5 879298239 +6 174 4 883600985 +130 118 4 874953895 +578 294 3 888957453 +425 1434 4 890346317 +271 276 3 885847800 +59 529 4 888205145 +85 79 3 879453845 +488 521 3 891294942 +551 340 4 892775584 +497 25 4 879309780 +379 124 5 883156810 +533 496 5 879439061 +586 203 3 884059027 +506 581 2 874874850 +393 255 4 887744328 +420 116 4 891357162 +543 385 3 877545717 +554 98 5 876550491 +180 367 1 877127486 +536 679 4 882360495 +545 219 2 880348933 +83 274 4 880306810 +589 268 1 883352463 +152 549 4 882476261 +72 174 5 880037702 +390 1 5 879694066 +504 183 3 887832531 +534 240 5 877807873 +498 1131 3 881955866 +173 306 5 877556626 +222 102 2 878183043 +504 54 4 887909936 +96 182 4 884402791 +95 121 4 879194114 +368 774 4 889783562 +378 319 3 884530934 +48 98 5 879434954 +293 196 4 888906012 +467 455 3 879532744 +91 50 5 891439386 +393 1210 3 889731593 +601 324 4 876346383 +213 985 3 878955164 +162 208 3 877636746 +363 710 5 891495596 +504 68 5 887912665 +63 546 2 875747789 +548 477 1 891415786 +5 172 5 875636130 +535 423 5 879618613 +602 678 4 888638193 +391 963 5 877399746 +499 202 4 885598961 +497 808 2 879310941 +528 479 4 886101505 +158 694 5 880133209 +405 5 4 885545070 +472 746 5 875983023 +532 679 5 888629565 +311 754 3 884363758 +298 530 5 884182600 +575 506 2 878148087 +237 197 4 879376515 +237 489 4 879376381 +472 370 4 875979317 +504 585 2 887909864 +347 471 4 881652518 +394 597 2 881058201 +537 1008 2 886030078 +480 8 5 891208576 +380 7 3 885478334 +314 562 4 877890960 +548 760 3 891416049 +552 829 3 879222738 +378 727 4 880055454 +488 176 4 891293734 +38 590 1 892434373 +184 523 4 889909618 +416 433 4 886316226 +483 365 2 878953277 +70 231 3 884064862 +429 150 5 882385569 +232 186 4 888549790 +500 39 4 883875092 +175 12 4 877108146 +167 8 5 892738237 +543 216 4 874864666 +181 18 1 878962623 +201 47 4 884140610 +268 180 3 875309719 +521 826 2 884476920 +600 92 3 888451665 +590 221 4 879439645 +181 224 1 878962623 +169 243 3 891268851 +162 1 4 877635819 +18 236 3 880131077 +256 405 4 882151088 +592 433 5 882956761 +189 124 5 893264048 +261 243 5 890454351 +353 340 4 891401942 +470 288 4 879178216 +561 239 3 885809336 +538 69 5 877107340 +303 106 2 879543796 +327 232 4 887819538 +342 818 4 875318488 +405 1484 1 885547690 +224 423 4 888103581 +457 673 4 882397829 +389 79 4 879991461 +383 480 5 891193242 +452 874 2 887718965 +293 199 5 888905582 +577 15 3 880470350 +288 289 3 886372937 +385 1143 4 880828451 +416 980 4 886314987 +566 89 4 881650423 +22 229 2 878887925 +223 864 3 891550094 +432 1049 2 889415983 +524 213 4 884635136 +184 393 4 889909788 +450 1172 5 882373231 +76 1006 3 875027907 +294 546 4 877819761 +8 241 4 879362423 +452 243 5 886148336 +92 405 2 875644795 +409 427 5 881107251 +605 127 5 879366240 +566 242 5 881649273 +603 21 3 891956715 +76 60 4 875028007 +59 79 5 888204260 +514 659 3 875463245 +537 102 1 886032123 +125 176 5 879454448 +95 274 4 879193881 +15 879 3 879455311 +263 732 5 891299265 +92 284 2 876175733 +221 29 3 875245739 +152 117 4 880148782 +253 96 5 891628651 +264 1070 4 886123415 +214 174 4 892668249 +579 179 3 880952038 +548 619 3 891415786 +47 327 4 879440360 +523 211 4 883702292 +518 1028 3 876824266 +429 248 5 882386870 +92 577 3 875907649 +164 291 5 889401963 +370 174 3 879434587 +592 323 1 882607690 +400 286 4 885676230 +389 179 4 879991461 +495 201 2 888633594 +181 111 3 878962774 +92 80 2 875907504 +109 332 3 880562908 +537 205 5 886031297 +603 230 4 891955922 +468 603 5 875296309 +533 87 4 879191184 +577 186 4 880472153 +576 381 3 886986445 +525 1012 3 881086078 +286 339 5 884583549 +40 270 3 889041477 +89 66 3 879459980 +62 1018 3 879375606 +533 1028 2 879192769 +580 7 3 884124844 +197 354 2 891409199 +592 336 1 882607476 +476 211 5 883365019 +293 48 5 888905819 +561 513 3 885807345 +130 1244 4 876251192 +385 511 4 879441881 +545 520 4 884133794 +318 864 2 884495032 +510 358 1 887667780 +348 368 3 886523876 +468 19 4 875280126 +291 82 4 874835116 +62 97 2 879373795 +119 23 3 874782100 +332 1 4 887938245 +399 53 4 882345271 +387 532 3 886480970 +406 125 3 879539987 +561 64 3 885809605 +299 1507 3 877881170 +443 644 3 883505465 +163 301 3 891219977 +334 235 3 891545293 +453 3 4 877552717 +442 56 5 883388237 +174 843 2 886515551 +537 461 3 886031105 +221 230 3 875246506 +200 890 4 884127082 +265 293 4 875320661 +500 125 3 883865632 +279 41 2 875313646 +378 476 3 880044642 +314 721 5 877891465 +568 59 1 877906995 +416 678 2 876696788 +276 189 4 874977555 +449 179 4 880410674 +485 288 3 891041171 +57 710 3 883698324 +530 70 4 886198864 +416 1014 3 876697847 +561 616 3 885808929 +371 523 4 880435210 +81 405 3 876533764 +87 427 4 879877824 +190 272 5 891033606 +538 216 4 877364204 +1 197 5 875072956 +433 435 4 880585700 +151 147 2 879524947 +334 498 4 891545898 +297 919 1 874954260 +450 1401 4 882372103 +37 231 2 880916046 +437 116 3 880139997 +323 11 5 878739953 +496 480 3 876065289 +378 629 5 880056318 +5 414 3 875636691 +474 418 3 887928562 +94 1222 3 891723848 +528 393 2 886101695 +484 15 5 881449527 +90 462 5 891383752 +236 423 5 890116304 +425 576 3 878738813 +432 322 3 889416657 +268 1314 2 875744289 +342 535 3 874984727 +595 1264 2 887588203 +308 732 4 887738847 +222 375 1 878182880 +416 1540 4 893142245 +213 393 3 878955973 +588 207 2 890025076 +556 325 2 882135684 +363 32 2 891496667 +436 21 3 887772028 +561 1119 3 885810144 +29 879 3 882821161 +518 123 2 876823143 +322 48 4 887313946 +215 127 4 891435183 +286 40 4 877534824 +29 661 5 882821942 +59 477 3 888203415 +207 38 3 875509507 +301 121 4 882075148 +539 185 4 879788101 +303 1426 2 879484804 +449 15 4 879958866 +161 133 2 891171023 +244 1168 4 880608788 +552 118 3 879222520 +405 1031 1 885549045 +398 519 4 875723337 +210 956 3 887736900 +561 1024 3 885806883 +409 1593 4 881108971 +193 739 4 889126427 +489 1243 4 891445231 +198 356 3 884208455 +535 59 3 879618338 +95 78 3 888956901 +416 1160 4 876697760 +6 505 4 883602422 +334 485 3 891548224 +586 281 3 884062405 +92 474 4 875653519 +551 62 5 892784524 +320 458 4 884748868 +451 1394 1 879012858 +136 116 5 882693723 +468 692 4 875292027 +479 226 3 879461280 +287 313 4 888177170 +533 196 4 888844941 +346 578 2 874950463 +429 732 4 882385882 +3 342 4 889237174 +181 831 1 878963241 +429 62 3 882387350 +263 515 5 891298592 +82 432 4 878769373 +6 507 4 883601310 +393 553 3 887747108 +381 934 2 892697495 +487 183 5 883446637 +446 292 5 879786838 +499 318 5 885599286 +500 304 2 883864749 +568 954 2 877907671 +496 229 2 876070655 +548 222 5 891044596 +552 760 3 879222306 +447 1028 3 878855139 +190 273 4 891033676 +279 12 2 875306515 +83 1016 4 883868345 +49 419 4 888067691 +392 491 5 891039049 +239 504 4 889179544 +417 50 3 879646123 +119 825 3 874780860 +152 402 5 882829501 +392 1258 1 891038247 +116 288 3 886309812 +533 221 3 888844601 +528 657 5 886101505 +569 50 5 879793717 +524 898 4 884701702 +456 696 3 881372078 +222 580 3 878715168 +234 642 3 892334766 +498 50 4 881954821 +516 181 4 891290566 +82 326 2 879788343 +561 163 3 885808963 +561 154 4 885807612 +275 431 3 880314969 +592 324 4 882607387 +221 544 4 875244512 +95 640 3 880571746 +2 293 4 888550939 +1 173 5 878541803 +94 399 4 891722802 +503 416 2 880472250 +181 270 4 878961270 +311 1119 4 884366703 +506 772 1 874873247 +441 117 4 891035489 +505 7 3 889334129 +606 123 3 878143605 +321 382 3 879440245 +592 202 5 882956803 +320 546 4 884748818 +437 732 4 880143167 +472 790 3 875981968 +562 114 1 879195156 +501 237 4 883348011 +597 824 3 875342875 +207 609 4 877879173 +330 216 5 876546470 +82 430 5 878769703 +49 262 5 888065620 +385 657 4 879442109 +405 94 5 885547408 +497 1419 2 879362638 +316 707 4 880853485 +214 608 4 891544114 +474 380 4 887927588 +207 239 3 876079016 +200 527 4 884129656 +321 132 5 879440342 +535 209 5 879617819 +195 1415 1 874825827 +351 323 5 883356710 +417 758 2 879649247 +561 671 3 885808673 +263 132 5 891298392 +267 62 3 878973597 +600 229 3 888451840 +543 86 4 876896210 +600 1110 3 888452564 +488 511 4 891294209 +523 707 5 883701093 +411 38 4 891035405 +201 923 3 884113592 +456 508 4 881371427 +339 527 4 891032793 +551 1267 4 892783906 +457 174 5 882397267 +414 346 5 884999037 +290 97 3 880475016 +533 202 4 879191938 +399 155 2 882348773 +406 573 3 880132319 +524 76 4 884636182 +399 395 3 882350733 +62 959 4 879375269 +13 433 4 881515239 +108 294 4 879879662 +303 715 4 879484441 +274 125 4 878945711 +421 674 5 892241687 +505 176 4 889333340 +517 269 3 892659922 +128 471 4 879967804 +452 660 4 875560068 +42 501 5 881108345 +524 642 4 884636182 +63 591 3 875747581 +537 770 3 886031913 +413 508 4 879969484 +509 879 1 883590913 +223 333 4 891548675 +454 968 2 888267198 +559 204 3 891035708 +600 127 5 888451492 +222 95 4 878182453 +490 237 1 875427993 +437 11 1 880139951 +500 1008 4 883865786 +381 529 5 892696060 +562 191 5 879196176 +13 7 2 882396790 +291 568 4 874835141 +222 365 4 878184765 +47 269 4 879438984 +122 11 1 879270424 +467 93 4 879532595 +47 258 4 879438984 +357 472 3 878952166 +524 178 3 884634968 +566 154 3 881651151 +151 847 5 879528459 +85 458 3 879452867 +309 304 3 877370319 +422 201 4 879744014 +493 172 5 884131597 +65 735 4 879216769 +7 215 4 891351624 +403 284 1 879790389 +577 393 4 880475363 +487 99 4 883530434 +523 652 2 883703495 +514 750 4 885180627 +107 286 2 891264266 +579 1074 3 880952579 +416 275 5 893212484 +561 458 4 885809197 +299 302 4 889501087 +194 659 4 879520743 +89 100 5 879441271 +575 181 2 878148295 +439 237 5 882893220 +429 225 2 882387599 +533 222 5 884007368 +573 427 4 885844091 +299 298 4 877878227 +474 923 4 887926632 +458 127 5 886396390 +269 200 4 891449984 +577 38 2 880475453 +256 808 4 882164559 +591 1099 5 891031203 +497 395 4 879363284 +7 572 3 891354331 +592 1623 4 882955794 +505 199 4 889333442 +251 405 3 886272547 +521 33 4 885254133 +485 313 4 891040423 +554 69 5 876232682 +405 1576 1 885549464 +318 892 3 884470391 +181 547 1 878962720 +331 238 4 877196383 +243 86 5 879989217 +435 697 4 884133372 +13 792 5 882139686 +537 11 3 886030937 +559 514 4 891035633 +1 75 4 878543238 +583 663 4 879384338 +568 185 4 877907834 +393 739 3 887746671 +544 332 3 884795437 +293 50 5 888905519 +495 550 3 888635235 +538 117 3 877107492 +405 1437 1 885547557 +63 282 1 875747657 +524 646 5 884637347 +141 293 2 884584735 +454 836 2 888266785 +407 525 4 875046427 +505 614 3 889334162 +543 190 5 875665787 +592 1315 2 882609056 +125 340 1 892835659 +514 367 5 875318164 +498 340 2 881954618 +537 95 1 886030891 +342 193 5 875320199 +503 1194 5 879438072 +392 288 4 891037531 +551 343 4 892775869 +487 779 2 884050879 +276 44 3 874795637 +57 826 2 883697990 +305 199 4 886323779 +389 763 1 879916203 +401 356 4 891033122 +449 244 4 879959152 +537 648 4 886031505 +389 40 3 880088825 +535 1396 4 879618058 +514 392 4 875463351 +264 1009 4 886124417 +16 427 5 877722001 +330 177 4 876546267 +354 956 4 891218271 +532 403 4 892865321 +264 656 4 886122099 +276 627 3 874792907 +68 25 4 876974176 +18 66 3 880131728 +582 250 3 882961000 +198 117 1 884205114 +309 1296 2 877370319 +250 325 4 883262927 +184 51 4 889909069 +158 744 4 880132462 +374 118 5 880393864 +216 408 3 880232547 +592 742 4 882608357 +518 236 3 876823597 +286 1288 4 876522114 +159 1049 4 880485972 +308 92 4 887737293 +536 199 3 882359499 +12 216 5 879960826 +174 662 5 886513752 +247 222 3 893081411 +493 191 4 884132225 +592 988 1 882607745 +518 222 5 876823597 +575 507 2 878148137 +351 301 3 879481424 +222 576 3 881060305 +198 143 3 884208951 +116 302 3 876451911 +151 492 3 879524738 +586 219 3 884060705 +495 465 5 888635180 +435 23 4 884132942 +523 514 4 883702172 +558 508 5 879436396 +525 685 4 881086295 +416 313 5 893214226 +397 273 4 889760803 +471 151 2 889828154 +21 243 2 874951039 +227 221 4 879035535 +529 269 3 882534996 +301 193 3 882075994 +85 510 4 879454400 +314 67 4 877891386 +13 791 5 882141686 +409 174 4 881108881 +405 739 2 885549309 +554 228 5 876550011 +476 288 4 883365734 +421 234 5 892241646 +197 172 5 891409839 +255 147 4 883216845 +190 591 4 891033863 +389 700 2 881384441 +268 658 3 875310524 +363 1 2 891494563 +109 597 2 880571715 +537 1105 1 886029153 +334 175 4 891546257 +508 173 4 883767140 +97 408 5 884238652 +593 211 4 875671198 +292 748 3 877718776 +42 402 5 881108982 +319 750 3 889816107 +603 174 3 891956927 +577 720 4 880475043 +559 294 1 891035519 +59 1101 5 888205265 +94 670 3 891722249 +608 1172 5 880404636 +46 50 4 883616254 +118 98 5 875384979 +423 628 4 891395602 +437 254 3 881002300 +592 288 5 882607528 +226 191 4 883889229 +102 127 2 888801316 +330 739 5 876545368 +318 255 4 884494693 +344 275 4 884899397 +451 1026 1 879012773 +280 156 4 891700643 +254 151 2 886474396 +537 13 4 886029806 +328 127 5 885045645 +204 170 5 892513865 +506 33 3 874873703 +552 471 3 879222306 +437 566 3 881002161 +456 179 5 881372779 +5 70 4 875636389 +480 237 2 891207836 +508 151 5 883768886 +400 306 3 885676230 +16 208 5 877727054 +579 168 4 880952142 +555 1054 3 879964335 +378 692 4 880045580 +450 354 4 892141784 +145 563 3 877343280 +542 238 4 886532706 +285 346 4 890595456 +523 208 5 883702209 +378 517 3 880056384 +405 586 4 885548136 +291 325 4 874805610 +474 283 3 887915437 +399 264 3 882340517 +514 1035 3 875463595 +523 269 5 883699464 +391 480 4 877398991 +276 572 3 874795823 +552 742 4 879222103 +7 237 5 891351772 +344 88 3 884901403 +92 1208 4 875812741 +519 908 5 883250148 +447 470 4 878856208 +523 285 5 883701962 +535 4 3 879618777 +378 1009 3 880318415 +200 568 5 884128372 +474 178 4 887926105 +394 449 3 881132958 +417 1183 4 879648676 +378 635 2 880333802 +409 877 2 881105366 +20 357 1 879669244 +161 473 1 891172358 +449 473 3 879958866 +407 483 4 875042642 +315 183 3 879821267 +201 181 2 884112245 +7 213 3 891351686 +354 1511 4 891216575 +472 567 4 875982922 +601 1073 2 876350230 +226 97 3 883889355 +293 248 3 888904985 +405 200 2 885548330 +316 187 2 880853548 +402 476 3 876266985 +457 234 5 882548426 +320 17 5 884751190 +472 477 5 875978387 +416 564 4 892440782 +429 218 3 882387350 +343 200 2 876404539 +237 180 4 879376730 +538 56 4 877107408 +577 218 3 880475269 +201 667 2 884114682 +33 348 4 891964404 +314 66 5 877887763 +554 542 3 876369995 +456 959 4 881375127 +244 468 1 880606947 +541 143 4 883874645 +555 546 3 879962551 +500 699 3 883875523 +379 622 5 880525839 +450 54 4 887138820 +13 441 1 882396984 +537 285 4 886029806 +256 147 4 882152540 +60 629 3 883327175 +215 228 5 891436543 +243 732 4 879988557 +21 874 2 874951005 +501 129 4 883348036 +292 98 5 881103758 +479 266 3 879459791 +601 181 5 876347039 +321 513 4 879440294 +385 851 5 880870205 +456 194 3 881373472 +83 477 2 887665798 +387 23 2 886479528 +425 178 3 878737841 +485 321 3 891041275 +607 487 4 883879213 +429 283 3 882385136 +29 79 4 882821989 +551 241 4 892783057 +432 100 3 889415895 +354 650 3 891217693 +384 333 4 891273509 +76 628 2 882606768 +569 151 5 879793948 +89 880 5 879461219 +214 156 5 892668172 +524 210 3 884635287 +407 993 4 884203128 +533 462 2 879190926 +560 478 4 879975752 +318 85 3 884497180 +484 143 4 891195746 +606 418 5 880923745 +449 1372 4 880410834 +588 432 4 890027113 +404 22 5 883790911 +397 171 5 882839540 +395 273 2 886481149 +580 148 4 884125773 +548 298 4 891043882 +123 289 1 879809220 +144 316 5 888103666 +13 914 2 892870589 +514 42 5 875318331 +99 405 4 885678813 +329 7 3 891655961 +586 187 4 884058566 +592 1134 5 882608234 +561 65 3 885808673 +495 88 4 888635380 +213 127 5 878870790 +498 59 4 881961312 +406 381 3 879793261 +160 185 5 876861185 +85 664 4 879829562 +524 172 3 884634849 +265 688 2 875320084 +495 84 3 888633011 +311 72 4 884365686 +487 367 3 883530674 +524 289 4 884321591 +201 665 2 884114770 +70 450 1 884064269 +130 449 4 878537516 +493 687 1 884130055 +479 195 4 879460939 +354 1119 4 891307114 +601 834 1 876348381 +136 275 4 882693723 +383 315 5 891192158 +494 9 2 879541404 +218 1073 5 881288265 +62 290 3 879373007 +303 470 4 879468375 +230 280 4 880485254 +248 69 1 884534695 +466 898 1 890283667 +404 754 3 883790218 +589 288 5 883352536 +272 183 4 879454726 +336 88 2 877757910 +233 194 4 877663913 +525 276 5 881086468 +455 265 4 879112152 +533 25 4 884096575 +6 516 4 883602664 +479 257 4 879459955 +453 509 4 877553850 +577 110 4 880475581 +470 813 3 879178370 +120 237 3 889490172 +428 329 3 892572335 +154 651 4 879138783 +437 70 3 881002161 +92 823 4 875654846 +506 792 2 874876598 +452 187 3 875265265 +299 209 3 889503013 +603 173 4 891956877 +151 211 5 879528588 +444 271 3 891979403 +221 763 4 875244232 +532 302 5 875441085 +352 17 2 884289728 +482 311 4 887643340 +313 820 2 891030228 +6 13 2 883599400 +392 248 4 891038205 +311 294 4 884364047 +155 332 2 879371121 +293 357 4 888905760 +568 1050 4 877907835 +392 173 4 891039050 +455 4 3 879111786 +293 483 5 888905481 +585 113 3 891283681 +436 287 4 887770169 +589 340 1 883352494 +276 239 4 874791194 +608 490 4 880405824 +338 650 5 879438275 +194 402 3 879524008 +327 100 4 887744513 +405 1078 1 885549004 +484 252 3 880270616 +453 367 2 888202813 +381 693 4 892697280 +577 1291 3 880471954 +605 527 4 879424429 +257 166 4 880496522 +399 928 2 882341586 +237 659 4 879376553 +283 820 4 879297904 +497 809 3 879362609 +551 991 2 892775935 +361 237 4 879440740 +147 319 4 885593812 +303 423 4 879483535 +130 5 4 876251650 +403 1047 2 879786381 +532 117 5 893119335 +293 356 3 888907955 +495 50 5 888632134 +474 615 4 887924619 +201 514 3 884112747 +486 696 3 879875041 +116 328 3 876452186 +119 823 3 874775406 +109 55 2 880572756 +472 924 2 875978994 +561 1074 3 885810813 +507 302 5 889963959 +326 609 3 879875930 +62 170 3 879373848 +592 1009 3 882608662 +104 273 3 888465972 +195 678 3 883295570 +479 535 3 887064690 +460 293 4 882911603 +526 754 2 885681886 +548 323 4 891043547 +518 1079 1 876824266 +216 403 3 880244446 +314 294 5 877885887 +528 82 4 886101632 +379 729 4 880961621 +194 183 3 879520916 +303 535 1 879544681 +312 165 5 891698726 +588 227 3 890028385 +603 11 5 891956927 +317 355 4 891446783 +13 494 4 881515295 +347 99 3 881654591 +303 413 2 879543524 +185 9 4 883524396 +405 364 1 885547766 +1 268 5 875692927 +168 685 3 884287759 +254 21 3 886474518 +537 60 3 886031297 +175 508 1 877107712 +370 923 4 879435074 +567 318 2 882425901 +422 742 2 875130204 +121 937 4 891389924 +579 89 3 880952102 +327 23 4 887745463 +207 684 3 875509307 +481 367 3 885829153 +116 655 4 886309958 +151 512 5 879524712 +373 181 5 877099178 +537 772 3 886031297 +214 249 3 891543256 +554 67 3 876369932 +361 258 3 879440286 +484 625 4 891195825 +360 100 5 880354379 +542 288 2 886532149 +470 137 3 879178406 +405 391 1 885548137 +199 7 4 883782854 +350 136 5 882347699 +279 554 1 875314231 +606 15 5 878143729 +553 199 4 879949153 +459 15 4 879563102 +7 590 2 891354730 +449 1404 5 880410801 +410 258 2 888626538 +585 463 5 891284816 +87 510 5 879875818 +589 289 3 883352679 +437 778 3 881002092 +280 313 3 891699839 +374 832 1 882157930 +35 328 3 875459046 +495 282 5 888637768 +13 833 2 882397974 +262 125 3 879961882 +304 278 4 884968415 +115 98 3 881171409 +128 25 3 879968185 +440 171 5 891577871 +478 41 3 889396330 +581 919 5 879643155 +437 95 4 880143315 +514 58 4 875462689 +547 311 2 891282699 +442 226 3 883390416 +95 1221 4 880572448 +378 300 4 889665232 +569 248 4 879793741 +442 810 2 883390674 +429 143 3 882385829 +588 71 4 890024195 +303 100 5 879466420 +514 170 3 875462764 +545 68 4 879899266 +561 1120 4 885807318 +74 7 4 888333458 +496 7 4 876064168 +350 258 3 882347465 +167 1225 3 892738277 +468 357 5 875294549 +554 82 4 876550257 +376 707 4 879434750 +519 299 5 884545961 +59 147 5 888203270 +600 1228 2 888452490 +592 408 5 882607955 +376 11 4 879454598 +484 135 4 891194820 +437 651 4 881002345 +457 507 4 882397059 +3 303 3 889236983 +269 151 5 891450489 +429 274 3 882386096 +43 686 3 883955884 +529 984 4 882535353 +535 603 4 879617613 +593 210 2 875673181 +59 650 5 888205534 +417 999 3 880952434 +539 367 3 879787801 +405 376 5 885547690 +325 114 5 891478307 +286 535 5 875806918 +1 34 2 878542869 +164 326 3 889401362 +455 447 4 879111153 +527 709 5 879455961 +537 937 3 886029488 +62 53 2 879376270 +313 739 3 891031747 +561 318 3 885807345 +27 118 3 891543222 +13 706 1 882396869 +270 583 5 876956038 +504 623 3 887910433 +406 452 2 879793011 +270 739 4 876955729 +193 1168 4 890860234 +94 132 4 891720862 +374 696 3 880394233 +204 318 5 892513819 +601 419 4 876351263 +292 528 5 881105657 +435 164 2 884132515 +606 241 3 880926246 +566 651 4 881650242 +235 175 4 889654971 +164 934 5 889402547 +121 582 2 891390034 +468 428 4 875291403 +437 1161 4 880141770 +493 115 4 884131665 +118 603 4 875384916 +280 126 3 891700643 +374 393 4 880395973 +524 474 4 884634578 +8 341 2 879361825 +587 347 3 892871223 +405 786 1 885547644 +68 275 5 876973969 +380 664 3 885479415 +297 55 4 875238922 +437 730 3 880141374 +509 687 1 883591489 +119 1166 5 887038711 +355 260 4 879485760 +249 1011 5 879640284 +553 265 5 879948508 +249 462 5 879572725 +537 352 1 886028544 +263 511 5 891299324 +536 163 5 882360080 +370 678 4 879435369 +372 79 5 876869667 +470 285 3 879178619 +28 760 3 882826399 +184 182 4 889908497 +158 181 3 880132383 +505 265 4 889333598 +152 1053 5 882475618 +382 507 4 875946809 +432 121 4 889416312 +345 747 3 884993139 +447 89 5 878855723 +454 195 4 888266810 +138 56 5 879024232 +363 590 3 891500527 +385 50 1 879440127 +522 79 3 876960824 +100 310 3 891375522 +383 517 5 891192748 +437 47 4 880140534 +109 628 2 880564640 +488 203 4 891295023 +593 5 4 875671525 +588 1047 3 890031141 +387 79 4 886483049 +58 269 4 884304267 +405 515 1 885546025 +181 1372 1 878962279 +606 186 5 880925290 +566 235 3 881650534 +416 1226 3 893013826 +69 50 5 882072748 +328 405 4 885047018 +222 642 3 878181421 +313 183 5 891013554 +608 1115 4 880406168 +119 537 5 886176618 +484 248 4 883973581 +434 347 1 886724329 +500 147 3 887720583 +551 1518 4 892785363 +358 324 4 891269077 +13 879 2 881515697 +548 649 4 891044538 +59 220 2 888203175 +198 55 3 884207525 +234 497 4 892334481 +497 452 2 879362202 +521 743 1 886061689 +136 303 4 882693234 +320 257 4 884749499 +595 1067 4 886922069 +385 208 3 879442360 +592 455 4 882608402 +361 98 5 879441215 +90 488 5 891384065 +453 318 4 877553761 +450 558 3 882396050 +334 1525 4 893074672 +21 925 2 874951447 +498 61 4 881957431 +312 166 5 891698391 +249 405 3 879640284 +568 475 4 877907782 +435 826 2 884134713 +96 486 3 884403392 +508 180 5 883767565 +588 144 3 890024564 +87 204 5 879876447 +566 7 4 881649747 +176 222 5 886048145 +18 95 4 880131297 +297 213 3 875240171 +181 104 1 878962866 +497 679 3 879310850 +523 289 4 883699869 +454 277 2 881959960 +561 42 3 885809025 +573 211 5 885843964 +514 210 5 876067462 +354 93 4 891216805 +395 343 5 883762614 +422 760 3 879744287 +533 286 4 879193088 +504 257 5 887831753 +607 529 4 883880027 +488 222 4 891376029 +381 1119 4 892696252 +462 321 5 886365734 +560 25 3 879976706 +77 175 4 884733655 +588 40 4 890026154 +429 365 2 882386237 +197 2 3 891409981 +608 661 3 880405927 +144 647 4 888105338 +454 419 4 881959917 +62 196 4 879374015 +201 483 3 884111546 +217 779 1 889070266 +221 273 5 875244183 +60 185 4 883326682 +543 194 3 874864870 +201 699 3 884140610 +498 525 4 881961547 +193 905 4 889123458 +498 1286 3 881956576 +184 1117 2 889907771 +507 405 5 889966127 +605 531 4 879424583 +321 654 4 879439927 +325 115 3 891478557 +194 655 5 879520813 +601 699 3 876350812 +503 156 1 880472250 +344 844 1 886381985 +72 476 4 880036048 +554 9 4 876231468 +552 864 3 879221876 +537 1009 2 886030254 +181 93 1 878962773 +445 174 4 891200869 +198 216 4 884208490 +393 186 3 887746734 +49 403 3 888069636 +269 111 1 891446703 +60 528 4 883326086 +248 50 5 884535013 +610 315 4 888702764 +327 117 3 887820385 +297 268 4 881707737 +293 294 2 888904410 +284 750 3 885328906 +393 821 3 889554756 +416 199 5 893214225 +75 1059 1 884050760 +399 50 3 882343040 +59 44 4 888206048 +21 984 1 874951040 +455 58 3 879111318 +230 447 1 880485513 +455 1136 3 879111705 +332 405 4 887938503 +144 1101 4 888105312 +450 241 4 882376658 +501 117 4 883347975 +276 1028 3 874787044 +488 523 3 891293699 +194 720 2 879553883 +566 755 2 881651561 +343 334 5 876402468 +399 1178 3 882350341 +417 815 4 879646741 +607 107 4 883879756 +488 8 3 891295067 +293 198 4 888906143 +321 657 4 879440660 +222 559 3 878184291 +611 300 5 891636244 +588 783 4 890027297 +270 244 3 876954004 +363 698 2 891495987 +545 231 4 879899472 +493 176 5 884132197 +7 80 4 891354381 +130 403 5 876251922 +364 261 2 875931432 +141 147 4 884584906 +405 132 5 885544698 +119 132 5 874782228 +222 1074 3 881060504 +528 50 5 886101695 +281 294 3 881200643 +218 183 5 881288265 +504 1110 2 887911583 +502 333 4 883701866 +253 125 3 891628033 +49 98 4 888067307 +543 53 3 877547190 +455 939 4 879111454 +594 744 3 874783298 +488 22 4 891294108 +7 51 2 891352984 +566 77 4 881651183 +416 203 3 886316596 +551 193 5 892777363 +421 96 4 892241343 +270 164 5 876956137 +23 161 2 874787017 +313 720 2 891028472 +556 132 5 882136396 +222 392 4 881059920 +342 478 3 875319967 +346 325 1 886273717 +243 694 4 879988262 +469 495 5 879525237 +506 250 2 880198224 +617 637 3 883789507 +388 569 5 886441248 +352 228 3 884289729 +440 582 3 891577919 +104 456 3 888465853 +6 310 2 883268353 +82 820 3 878768902 +445 310 1 891199331 +483 275 4 878951388 +483 12 2 878953999 +23 472 2 874784972 +293 1311 3 888907603 +297 288 3 874955131 +526 886 3 885682077 +417 472 2 879646369 +518 151 3 876823018 +553 89 5 879948386 +330 126 5 876544480 +521 1022 4 884475591 +58 474 4 884305087 +374 1051 4 880394138 +416 121 5 893213645 +506 611 5 874874525 +37 546 3 880915565 +532 404 5 893119336 +533 568 5 879438849 +13 193 5 882139937 +273 340 3 891292761 +484 451 4 891195127 +455 1 4 878585685 +144 135 5 888105364 +90 684 3 891385335 +330 866 5 876544998 +221 96 5 875245672 +500 517 4 883873839 +606 147 5 880922503 +238 286 5 883575683 +110 873 2 886987505 +18 157 3 880131849 +543 129 4 874862036 +332 470 5 887939157 +72 2 3 880037376 +234 321 2 891033393 +269 162 3 891448141 +503 248 4 884638469 +382 50 1 875945451 +405 1249 1 885547408 +476 186 5 883365019 +460 221 4 882912285 +269 660 1 891448220 +592 1187 4 882608358 +593 655 3 886193724 +559 435 2 891035781 +161 483 3 891171214 +506 193 4 874873944 +490 273 1 875427629 +188 281 3 875074772 +51 203 4 883498685 +592 201 5 882955794 +437 582 5 880140855 +293 233 2 888907266 +254 417 3 886473408 +567 606 4 882425630 +537 231 3 886032246 +393 951 3 889728531 +515 271 4 887658844 +222 28 5 878182370 +535 172 3 879617747 +504 38 4 887840134 +583 209 4 879384404 +542 63 3 886533090 +449 118 1 879959573 +518 595 3 876824266 +234 268 2 891033261 +557 343 4 881095995 +233 623 3 876374602 +545 680 2 879898486 +118 413 4 875385306 +565 640 4 891037837 +531 332 4 887048813 +582 750 5 882960418 +20 151 3 879668555 +299 1223 3 878191779 +405 562 1 885548137 +188 177 4 875073329 +417 669 2 880953014 +184 121 2 889908026 +608 150 3 880406299 +459 473 4 879563102 +376 268 3 879432976 +296 251 5 884196523 +527 22 5 879456132 +312 505 5 891698987 +551 755 4 892784008 +428 305 3 885944136 +36 873 3 882157386 +594 222 4 874783052 +437 736 5 881001888 +551 127 5 892776420 +405 215 5 885545263 +82 230 2 878769815 +507 310 4 889964162 +618 204 3 891307098 +207 712 4 877847025 +68 121 1 876974176 +353 332 5 891402757 +325 269 4 891477567 +532 266 4 875441640 +393 578 4 889728413 +521 250 3 884476020 +346 549 4 874950966 +11 719 3 891905279 +421 185 4 892241422 +586 1407 3 884063080 +537 201 3 886031831 +562 720 4 879196483 +394 1 4 880886855 +614 126 4 879464183 +52 762 3 882922806 +178 535 3 882824671 +381 95 4 892696534 +331 286 4 877196089 +429 679 4 882387653 +276 1170 4 877934392 +151 50 5 879525034 +493 150 5 884130495 +327 527 4 887745319 +151 499 5 879524585 +213 284 5 878955164 +63 828 1 875747936 +313 153 3 891015268 +504 499 4 887909595 +349 325 3 879465326 +577 380 3 880474991 +499 177 3 885599660 +416 50 5 893212730 +595 1134 5 886921392 +85 485 5 879454400 +586 174 4 884058898 +609 538 1 886895795 +378 161 4 880056034 +274 877 3 878944543 +263 1020 3 891298337 +389 181 4 879915806 +90 464 5 891385039 +497 1092 3 879363233 +264 88 3 886123728 +455 170 3 879111616 +110 2 3 886988536 +600 227 4 888451977 +618 100 4 891308063 +164 342 2 889401691 +532 750 5 884594358 +493 1126 2 884131517 +336 288 3 877760521 +334 324 4 891628832 +615 735 3 879448823 +193 199 5 889125535 +606 473 4 878149415 +550 254 1 883426119 +181 126 2 878962585 +328 180 4 885046134 +344 14 5 884814532 +457 186 5 882397575 +399 63 3 882348615 +610 11 4 888703432 +618 781 3 891309382 +239 489 5 889178833 +373 756 3 877106900 +592 184 5 882956419 +597 300 5 875338983 +587 261 3 892871438 +468 257 4 875280417 +508 211 3 883777047 +615 517 5 879449068 +303 56 5 879466547 +436 553 3 887769777 +339 521 4 891032737 +533 229 4 879191621 +250 153 2 878090066 +405 63 3 885547408 +95 71 5 880573288 +454 270 4 881958606 +411 732 4 892845634 +524 978 3 884628212 +26 222 3 891371369 +361 657 5 879441253 +437 151 5 881002374 +527 1333 3 879456104 +551 43 2 892784976 +600 554 4 888451977 +334 98 4 891545793 +283 393 4 879298295 +151 81 5 879524293 +566 727 4 881650850 +77 455 3 884732873 +403 748 5 879786406 +535 338 3 879617098 +518 546 4 876823447 +425 272 4 890346317 +577 443 4 880475269 +316 651 5 880854227 +158 252 3 880132893 +409 98 5 881107817 +618 185 5 891308260 +537 179 4 886031105 +246 219 5 884922801 +496 228 1 876065588 +599 282 5 880951657 +381 217 2 892696757 +455 288 2 879110767 +99 456 3 885679504 +314 202 5 877888610 +573 478 4 885844674 +59 393 2 888205714 +617 7 3 883789425 +568 525 3 877907720 +616 269 4 891224517 +608 65 5 880406469 +468 826 3 875284096 +399 338 1 882509709 +537 405 2 886030381 +95 539 4 884266022 +452 455 1 876297413 +95 586 2 881599672 +551 423 1 892782975 +44 871 3 883613005 +92 980 3 883433686 +198 161 3 884208454 +264 182 5 886122098 +603 172 5 891956139 +409 172 5 881107750 +227 1047 2 879035834 +618 367 3 891309319 +535 505 4 879618569 +489 264 4 891445721 +128 202 2 879968579 +615 170 4 879447895 +218 39 2 881288265 +470 847 3 879178568 +237 525 4 879376487 +593 172 4 886193379 +189 492 3 893265535 +437 1148 4 881001983 +178 1033 2 882824869 +374 642 1 880937920 +608 1153 3 880406623 +151 488 4 879524900 +23 185 4 874785756 +560 288 4 879975116 +566 196 4 881650405 +273 272 4 891292811 +416 498 4 876699287 +318 527 5 884496596 +374 1094 4 882158020 +566 485 3 881650242 +200 552 4 884130540 +454 191 4 888266724 +207 742 4 876018580 +200 756 3 876042493 +554 845 3 876231993 +254 204 4 886472434 +422 124 3 875129839 +163 269 3 891219977 +498 548 2 881957267 +57 546 4 883697482 +363 185 5 891495338 +524 712 4 884637147 +271 194 5 885848770 +536 49 3 882360753 +599 873 5 880951174 +589 995 1 883352562 +13 900 5 888279677 +164 742 5 889401981 +378 22 5 880045520 +583 265 4 879384522 +256 5 5 882164727 +145 816 5 877343156 +382 511 4 875946730 +551 692 4 892777092 +573 69 4 885844091 +277 111 4 879543487 +346 1025 3 886273570 +387 228 5 886484336 +280 751 3 891699925 +234 488 4 892078386 +365 100 5 891303901 +620 71 5 889988005 +280 1473 3 891700904 +591 191 5 891031116 +368 11 4 889783678 +524 192 4 884634877 +372 628 4 876869915 +506 86 3 874876551 +224 221 2 888103812 +13 565 1 882397040 +339 185 4 891032885 +334 288 3 891544209 +554 411 3 876231886 +221 566 3 875246308 +120 1 4 889490412 +593 1035 3 875671464 +618 93 3 891307019 +486 1134 3 879875040 +535 97 4 879618880 +614 287 3 879464456 +566 82 4 881650709 +3 329 4 889237455 +537 239 2 886031933 +196 382 4 881251843 +335 307 5 891566952 +589 327 3 883352535 +157 410 4 886890855 +21 443 4 874951761 +577 40 4 880475435 +586 928 3 884065665 +474 192 4 887924571 +487 462 2 883445859 +497 431 4 879310825 +537 606 3 886030938 +610 751 4 888702795 +487 402 4 883531507 +114 197 4 881260506 +508 506 5 883777430 +569 287 4 879795551 +197 11 1 891409893 +479 261 1 879533993 +456 325 3 881372687 +542 382 3 886532726 +506 342 3 888848304 +25 568 4 885852529 +399 64 3 882342313 +514 715 4 876067592 +499 1302 5 885598378 +330 31 5 876546812 +464 260 2 878354859 +393 926 4 887745200 +158 450 3 880134815 +484 665 4 891195602 +383 285 5 891193210 +292 492 4 881105318 +445 603 3 890988205 +323 619 3 878739519 +585 1512 5 891283000 +280 1112 4 891702324 +450 1402 2 882473230 +293 506 5 888906428 +253 81 4 891628614 +535 1166 4 879617779 +450 207 4 882374497 +523 794 4 883703144 +193 313 4 889122950 +385 492 2 879445531 +568 491 2 877907126 +94 160 4 891721942 +479 153 4 879462140 +145 934 1 875270394 +592 806 4 882956586 +611 350 4 891636399 +558 19 5 879436396 +347 97 4 881654101 +416 161 4 886316739 +178 313 5 884836422 +488 187 3 891293863 +435 831 2 884134677 +430 514 4 877226568 +551 944 2 892784320 +281 331 3 881200491 +115 847 4 881170844 +362 350 5 885019537 +373 175 3 877099352 +452 624 2 875560067 +201 458 4 884140428 +128 651 5 879966983 +399 977 3 882341607 +450 550 4 882473915 +3 317 2 889237482 +94 597 2 891723078 +600 2 3 888451908 +178 1314 3 882827134 +283 56 5 879298206 +363 559 3 891496927 +566 88 3 881650090 +87 80 4 879877241 +488 880 3 891293606 +588 260 2 890014930 +334 272 4 891544103 +60 602 4 883326958 +332 227 5 888360371 +416 375 1 886319930 +288 688 1 886373007 +72 405 3 880036346 +437 183 3 880140892 +35 258 2 875458941 +592 255 4 882608915 +200 1091 4 884129814 +385 1131 3 879445587 +145 1087 1 875271357 +497 1210 4 879362178 +444 313 4 890246940 +532 592 3 874791850 +504 97 4 887832760 +13 177 5 882397271 +363 226 1 891497015 +583 12 5 879384522 +190 685 3 891033725 +503 121 3 879438707 +114 485 3 881260409 +571 496 3 883354886 +559 4 4 891035876 +43 250 2 875975383 +472 218 4 875980120 +406 693 3 884630583 +486 284 2 879874784 +252 475 5 891456876 +195 877 3 887567629 +7 679 5 891353124 +325 190 4 891478432 +450 637 4 882395662 +291 123 4 874806006 +618 182 4 891307289 +286 336 5 884069544 +567 517 5 882426673 +385 238 5 879442085 +452 531 4 875263244 +4 329 5 892002352 +551 955 3 892783411 +64 190 4 889737851 +527 474 3 879455792 +530 483 3 883785248 +121 546 1 891390521 +301 82 5 882077078 +536 234 4 882360405 +553 485 3 879948695 +568 474 5 877907834 +425 357 5 878737981 +318 301 4 884470034 +357 24 4 878951457 +514 380 4 875462965 +463 112 1 890530721 +190 276 4 891033632 +618 28 4 891309887 +406 13 2 879539987 +537 558 4 886030584 +332 841 4 887938669 +388 266 5 886439918 +550 846 2 883426119 +503 498 5 880383588 +379 204 5 880525236 +2 294 1 888551648 +562 480 4 879195126 +608 9 4 880403765 +261 288 4 890454087 +580 358 4 884124472 +541 625 4 883874717 +619 245 4 885953743 +371 527 5 877487309 +425 1419 3 878738757 +130 452 4 880396495 +186 880 3 891718700 +429 833 3 882386895 +330 651 5 876547311 +498 649 3 881961745 +351 689 4 879481386 +328 155 4 885048198 +432 678 4 889416570 +452 654 2 875273543 +328 149 2 885048730 +484 151 4 881450017 +227 250 2 879035637 +278 288 5 891295230 +579 98 4 880951804 +272 604 4 879455113 +500 196 4 883874835 +417 674 2 879649560 +130 1079 3 876251217 +453 655 3 877553999 +520 678 2 885170330 +617 860 1 883789635 +206 300 1 888179565 +303 334 3 879466184 +125 191 5 879454385 +435 132 3 884131156 +509 258 4 883590526 +429 58 4 882385090 +239 150 5 889179131 +435 168 5 884131515 +457 411 3 882395894 +472 204 5 875980823 +393 476 3 887744688 +59 58 4 888204389 +500 235 5 883865567 +407 559 3 875553424 +537 210 3 886031912 +506 404 5 878044851 +554 742 3 876231546 +465 134 4 883530133 +56 323 3 892676028 +557 254 4 880485908 +210 423 5 887737338 +527 514 5 879455961 +1 144 4 875073180 +561 640 5 885809005 +461 121 2 885355890 +452 8 4 875266060 +474 221 4 888628044 +532 895 3 884594450 +536 724 4 882359988 +284 268 5 885329065 +268 506 4 875310625 +614 25 1 879464376 +13 442 1 890705056 +416 937 2 876696823 +592 847 5 882607986 +232 419 4 888550013 +13 845 3 882141503 +505 332 4 888631126 +580 300 3 884124103 +363 575 1 891498681 +217 210 4 889069709 +97 153 5 884239686 +1 271 2 887431672 +429 508 4 882385569 +451 337 2 879012857 +150 319 4 878746174 +116 20 3 892683858 +62 129 3 879372276 +452 168 4 888568251 +486 282 2 879875278 +378 575 3 880334409 +487 978 1 883445251 +326 232 2 879876941 +120 827 2 889490979 +210 99 4 887736937 +533 692 4 879191902 +486 762 4 879874939 +451 883 1 879012858 +403 685 4 879786662 +450 414 3 882396564 +613 258 5 891227365 +293 222 3 888904861 +537 136 4 886030583 +500 714 2 883874469 +327 546 2 887820448 +478 93 4 889387871 +339 427 5 891034778 +500 258 4 883864578 +543 770 4 874863803 +537 188 4 886030891 +268 1273 2 875745476 +538 97 5 877107086 +399 738 4 882350583 +373 748 4 877098042 +559 315 5 891033635 +622 2 4 882671363 +15 292 5 879455128 +621 404 3 874965496 +577 365 5 880475504 +435 455 3 884132208 +498 558 4 882205321 +276 739 2 874795538 +235 522 5 889655086 +174 147 4 886433936 +383 203 5 891193242 +303 170 5 879467574 +405 1569 1 885549505 +543 403 4 875663543 +222 326 4 877562819 +450 340 4 882216178 +151 504 4 879528868 +37 50 5 880915838 +601 623 1 876349897 +488 260 2 891293304 +263 194 5 891298107 +201 179 5 884114471 +423 313 4 891394595 +399 110 2 882343523 +535 357 2 879617531 +479 176 4 889125562 +216 423 4 881432467 +588 99 5 890023646 +534 456 5 877808300 +510 687 2 887667752 +23 155 3 874787059 +512 191 4 888579747 +222 620 3 877563873 +542 89 4 886532294 +538 196 4 877107408 +482 876 3 887644023 +515 322 3 887659073 +181 407 2 878963038 +24 919 3 875246185 +81 111 3 876534174 +22 546 3 878888107 +537 191 4 886030862 +6 186 4 883602730 +44 405 3 878346512 +315 175 5 879799423 +94 230 2 891723124 +189 166 4 893265657 +561 141 2 885809781 +241 346 3 887249482 +557 271 4 881179557 +575 173 5 878148258 +601 176 2 876348820 +85 378 4 879829642 +297 1 3 874954425 +621 567 3 874964991 +303 1511 3 879544843 +359 748 3 886453271 +85 496 4 879453781 +328 1478 3 885049275 +58 127 4 884304503 +448 340 4 891888137 +268 466 3 875310571 +457 122 2 882396158 +496 659 3 876065822 +274 280 1 878946162 +521 1059 1 884476821 +506 274 4 874862229 +345 50 5 884992367 +586 926 4 884067199 +13 688 1 883670819 +222 66 4 878183837 +619 117 5 885953778 +24 357 5 875323100 +48 479 4 879434723 +524 518 3 884635031 +393 722 2 889728736 +144 318 5 888105419 +343 631 4 876407175 +426 1079 3 879442892 +267 179 5 878972314 +474 121 4 887916260 +423 302 5 891394595 +476 890 1 883365989 +486 460 4 879875316 +486 7 5 879874753 +99 238 4 885680616 +442 684 3 883391221 +484 227 5 891195506 +276 31 4 874795704 +426 185 5 879445005 +416 763 5 893212623 +187 213 4 879465858 +428 344 3 892572308 +317 299 4 891446371 +119 348 3 886433226 +268 727 2 875310116 +137 385 5 881433719 +116 47 3 876454238 +297 474 4 875239125 +385 959 3 879446741 +345 736 3 884992897 +109 174 5 880572721 +514 239 5 876067462 +403 117 4 879786112 +59 595 3 888203658 +70 99 4 884067222 +551 25 1 892783366 +220 995 3 881197948 +244 772 4 880601937 +545 568 3 879899299 +498 151 4 881956140 +432 108 3 889416608 +5 437 1 878844423 +622 845 3 882590291 +431 358 2 877844489 +488 230 3 891375900 +380 382 3 885478759 +518 924 3 876822873 +6 512 4 883601155 +91 389 2 891439130 +425 338 1 890346781 +407 97 4 875116167 +457 56 4 882396868 +218 55 4 881288265 +465 175 5 883530054 +188 54 4 875074589 +94 142 3 891721749 +551 471 5 892783365 +276 771 2 874795795 +92 157 4 875653988 +429 265 4 882386096 +422 257 4 875129839 +378 227 3 880332857 +474 87 4 887925916 +181 1245 1 878962550 +532 329 4 886364769 +459 1016 4 879563506 +13 183 4 882397271 +303 78 2 879544238 +405 1568 1 885547222 +348 118 4 886523588 +524 191 4 884634707 +466 873 2 890283056 +445 28 4 890987772 +532 38 3 874789332 +130 427 5 875217033 +417 326 4 879649669 +540 125 3 882157011 +114 483 4 881260246 +334 328 3 891544311 +295 96 1 879517299 +450 506 5 882373088 +506 951 3 874875062 +592 157 5 882955918 +75 25 5 884049875 +308 419 4 887737194 +385 346 3 883791602 +497 578 4 879310965 +535 58 5 879618502 +109 451 5 880583192 +536 229 4 882361142 +130 470 2 875217096 +295 109 4 879517911 +181 1054 2 878963418 +221 695 4 875245776 +401 481 3 891033014 +606 1110 2 880927358 +602 304 4 888638022 +35 879 4 875459073 +346 54 4 874949217 +453 157 4 877561172 +450 313 5 882811655 +435 895 3 884130647 +393 271 3 887742179 +540 1 3 882157126 +487 781 3 884030528 +314 796 2 877891518 +615 1021 5 879448119 +205 268 2 888284618 +496 528 4 876065933 +615 886 2 879447692 +197 526 5 891409935 +442 17 4 883388535 +274 9 5 878945404 +82 866 3 878768840 +313 461 3 891014925 +608 69 4 880405702 +342 238 4 875319012 +343 581 4 876405820 +620 444 3 889987682 +35 937 4 875459237 +117 423 4 881012472 +551 273 4 892782865 +11 180 2 891904335 +271 79 4 885848672 +379 251 5 885063301 +476 790 4 883365274 +315 513 5 879821299 +378 485 4 880055921 +224 239 4 888104554 +70 554 3 884068277 +393 283 3 887744239 +534 290 4 877807845 +527 631 4 879456030 +497 405 3 879310621 +405 716 1 885547408 +201 672 2 884112673 +50 1010 5 877052329 +422 307 4 879743925 +318 404 3 884496639 +479 97 3 879461651 +423 754 4 891394832 +436 708 3 887770457 +566 207 5 881650502 +429 159 3 882386051 +472 946 2 875981122 +582 258 4 882960396 +585 863 5 891283000 +472 418 3 875980120 +299 647 4 878192804 +160 15 2 876768609 +291 121 2 874805984 +574 272 4 891278860 +76 358 2 878101114 +504 84 3 887840589 +541 222 4 883864848 +297 191 3 875238923 +401 357 4 891032896 +447 31 4 878856526 +56 386 3 892911494 +537 762 3 886030051 +334 237 4 891545067 +586 28 3 884066087 +573 480 4 885844481 +351 311 4 879481589 +450 1221 5 887660722 +17 286 3 885165619 +116 253 3 876452492 +312 1516 4 891698334 +208 371 5 883108842 +308 294 3 887736408 +399 80 3 882349068 +535 178 4 879618925 +308 1252 3 887741604 +110 288 4 886987145 +132 151 3 891278774 +537 402 1 886031752 +523 181 5 883700186 +6 191 4 883601088 +144 15 4 888104150 +318 269 5 884469970 +358 582 5 891269723 +524 215 2 884636735 +109 940 3 880583133 +551 719 1 892784898 +280 13 5 891700257 +339 1153 4 891035035 +435 732 4 884132341 +488 1025 2 891293263 +293 1298 3 888906045 +435 433 5 884131243 +450 283 3 887661961 +62 568 3 879375080 +185 205 3 883524320 +450 692 4 882373724 +417 963 4 879647431 +59 137 5 888203234 +537 421 2 886030863 +121 742 5 891390013 +551 1067 2 892785091 +401 69 3 891033417 +504 699 4 887838573 +487 411 3 883444793 +506 300 3 888178161 +597 1152 4 875339876 +336 70 5 877757910 +94 432 4 885873089 +312 519 5 891698726 +606 620 4 887059014 +622 797 2 882670862 +312 432 5 891699491 +200 472 4 884127890 +283 151 4 879297318 +499 1101 5 885599182 +297 1073 3 875238695 +619 39 2 885954083 +422 288 3 875129640 +399 825 2 882341586 +128 1221 3 879968279 +561 218 3 885810000 +604 444 2 883668175 +193 25 4 889127301 +59 288 5 888202787 +622 106 2 882591172 +269 602 4 891449346 +480 114 4 891208547 +524 24 3 884626906 +136 283 4 882693529 +26 109 3 891376987 +102 82 2 888801360 +374 1033 4 883628021 +446 286 3 879787730 +5 151 3 875635723 +151 1098 1 879528890 +617 396 1 883789590 +579 328 3 880951444 +178 153 4 882826347 +329 323 2 891655594 +490 298 3 875427532 +474 175 4 887925497 +450 80 3 882471737 +621 542 2 874965093 +215 218 3 891436607 +334 287 3 891545162 +615 87 4 879448780 +459 19 3 879563064 +500 43 3 883876859 +561 205 3 885807393 +380 425 4 885479163 +174 747 5 886513729 +52 126 5 882922589 +548 281 4 891044538 +286 761 4 877533640 +279 1059 4 891209332 +479 147 3 889125665 +64 520 5 889737851 +543 371 5 875665787 +592 125 2 882608795 +438 220 4 879868328 +379 511 4 880524811 +606 96 5 880925074 +95 144 5 879197329 +378 70 4 882642831 +561 346 5 885806862 +201 1045 2 884140788 +487 79 5 883446543 +231 1 3 879965704 +476 216 4 883364250 +518 696 5 876823266 +617 565 4 883789635 +304 328 3 884967167 +417 167 3 880952355 +255 834 4 883216358 +452 1403 1 875875272 +601 174 4 876348572 +130 328 4 874953525 +23 230 4 874785809 +110 294 3 886987540 +429 209 4 882384950 +593 234 2 875660850 +622 756 3 882591321 +152 632 4 882474734 +284 938 3 885329821 +593 196 5 875670939 +474 276 5 887915221 +255 559 4 883216748 +293 230 2 888907384 +540 249 3 882157687 +417 173 5 879647519 +349 458 4 879465933 +181 1150 1 878963305 +226 69 4 883889430 +591 382 4 891031500 +346 1231 3 875265106 +586 568 3 884061623 +90 531 4 891383204 +592 354 4 888553156 +385 1121 4 879443315 +97 663 5 884239791 +417 91 2 879647800 +607 86 4 883880079 +534 1199 5 877807780 +94 98 4 891721192 +512 527 5 888579645 +557 127 4 880485718 +259 154 5 876365003 +404 879 3 883790465 +255 121 2 883216902 +427 937 5 879701326 +498 933 3 881959018 +246 132 4 884921319 +521 206 5 884476637 +499 8 5 885599682 +336 859 2 877758103 +100 347 4 891375212 +561 661 4 885808715 +82 181 4 876311241 +417 15 5 879646166 +429 502 3 882385543 +618 96 3 891307749 +624 471 4 879792493 +389 185 5 879991434 +457 111 3 882393384 +72 98 5 880037417 +476 712 3 883364475 +385 305 4 879740222 +327 92 4 887748006 +447 150 4 878854438 +532 11 5 893119491 +568 165 4 877906935 +327 65 2 887747617 +567 257 3 882427250 +234 404 4 892333830 +85 476 3 879453018 +13 740 1 882140355 +234 111 3 892318060 +378 143 4 880046022 +72 25 5 880035588 +591 322 2 891031013 +596 123 2 883539767 +234 609 3 892335186 +121 357 5 891388063 +159 1013 4 880557170 +356 331 3 891405619 +334 906 5 891544177 +324 875 3 880575163 +128 168 4 879966685 +189 317 4 893265826 +608 276 2 880404975 +590 754 3 879438686 +303 195 4 879466937 +551 1087 1 892784437 +475 313 2 891451083 +496 77 2 876066531 +222 1087 1 878185102 +174 140 4 886515514 +387 320 4 886480325 +151 497 5 879524325 +442 67 3 883389028 +458 304 4 889323982 +209 14 3 883417547 +496 774 5 876066424 +455 197 5 879111057 +257 1129 5 879585415 +592 1008 4 882608357 +188 877 2 875071361 +612 926 2 875324789 +15 690 4 879455128 +532 195 5 892521554 +603 931 2 891956715 +268 941 2 875310463 +439 895 3 882892424 +57 1073 3 883698525 +184 644 4 889908947 +90 811 4 891384516 +476 343 4 883365634 +387 93 5 886480703 +592 347 4 885280098 +87 824 3 879877043 +439 147 4 882893737 +84 546 3 883452462 +417 384 4 879649284 +526 676 5 885682370 +442 672 3 883390048 +600 583 3 888451977 +566 117 4 881650886 +495 357 5 888633277 +234 64 4 892078983 +535 813 5 879618777 +485 326 2 891041705 +130 62 4 876252175 +367 324 5 876689418 +222 1178 2 878184392 +518 13 4 876823266 +498 484 4 881957546 +416 712 4 886318795 +567 919 4 882426105 +585 730 3 891285188 +399 1219 3 882348448 +327 856 4 887744167 +455 627 3 879111705 +486 181 4 879874482 +537 215 3 886031342 +32 9 3 883717747 +272 423 4 879454939 +437 387 2 880140726 +214 175 5 892668153 +603 157 1 891957031 +398 197 5 875660226 +128 729 2 879968447 +504 56 3 887832643 +380 1065 4 885478519 +542 411 4 886533275 +624 278 4 879793545 +561 393 2 885810309 +95 968 5 880571117 +82 523 5 878769373 +515 307 4 887659123 +234 646 3 892335500 +569 302 4 879792991 +506 183 5 874874308 +276 655 4 874791297 +314 216 3 877888722 +189 209 1 893265826 +457 357 5 882396735 +465 656 3 883531410 +60 327 4 883325508 +426 208 4 879442161 +597 242 4 875338983 +452 419 4 887719030 +544 286 4 884795135 +54 255 3 882153415 +456 955 4 881374162 +592 251 5 882607955 +605 601 5 879426339 +151 741 2 879524394 +303 443 4 879468459 +13 733 5 882399528 +178 744 3 882824028 +489 270 4 891448731 +433 268 3 880585162 +344 210 4 884814401 +336 763 3 877756890 +594 286 3 875917841 +537 330 2 886029488 +593 609 3 886194241 +588 143 5 890015684 +620 1043 4 889988340 +130 1231 4 878537778 +90 310 3 891382240 +11 237 4 891903005 +504 728 3 887908974 +210 72 3 891036310 +481 659 5 885829153 +17 294 4 885166209 +615 1192 4 879448715 +127 271 5 884364866 +543 516 4 876896210 +470 50 5 879178487 +136 475 4 882693339 +49 1067 3 888068842 +533 484 3 879190724 +325 548 3 891480086 +606 210 3 880924557 +586 176 3 884061623 +42 419 5 881107178 +416 762 3 876697524 +551 748 4 892775612 +429 188 4 882386566 +606 763 5 887060488 +2 310 4 888979061 +417 264 2 879649763 +595 289 4 886920602 +435 717 3 884134104 +468 662 4 875291570 +368 145 2 889783586 +373 209 4 877098437 +295 427 4 879517412 +87 323 3 879876256 +481 780 1 885829240 +483 20 2 878952993 +410 315 4 888627138 +405 383 1 885547605 +387 659 4 886480325 +489 266 5 891446232 +500 988 3 883864840 +471 501 3 889828027 +279 1215 2 884556545 +279 1025 2 880825843 +425 305 3 890346411 +606 124 3 878143246 +224 1152 3 888104313 +457 372 4 882548382 +558 847 4 879436396 +562 418 5 879195738 +560 1 4 879976449 +601 257 2 876347224 +401 684 4 891033651 +60 650 4 883327201 +593 245 3 888872154 +561 537 4 885808866 +480 127 3 891207715 +579 655 3 880952201 +456 1328 4 881372328 +394 665 2 881130009 +554 951 3 876369840 +411 50 5 892845604 +394 780 2 881059180 +592 318 5 882955863 +429 117 4 882387757 +546 860 4 885141439 +236 318 5 890116539 +405 388 4 885547558 +537 721 2 886031752 +200 43 3 884129814 +481 505 5 885828574 +476 1118 3 883364392 +593 402 4 875672970 +493 127 3 884130416 +456 95 4 881373756 +91 483 4 891439208 +279 802 4 875313600 +311 173 5 884364569 +430 222 4 877225682 +620 930 2 889987875 +488 172 3 891293863 +569 676 4 879793847 +534 150 3 877807873 +616 300 4 891224644 +70 204 3 884066399 +592 1377 3 882607872 +363 1073 4 891496337 +298 603 5 884125093 +344 216 4 884901156 +293 49 3 888907312 +537 1019 1 886031606 +164 298 3 889401835 +104 3 3 888465739 +217 568 4 889069782 +504 723 4 887910896 +279 869 1 892176473 +290 318 4 880473776 +452 636 5 885816916 +188 121 4 875073647 +551 2 2 892784780 +280 66 5 891701148 +207 1225 3 875508817 +542 319 3 886532950 +42 283 3 881110483 +437 288 2 880139533 +201 42 4 884113713 +619 809 1 885954238 +489 883 2 891448811 +365 340 5 891303536 +200 423 5 884129275 +450 66 4 882398770 +489 1025 5 891366652 +493 275 1 884131357 +169 480 4 891359137 +592 187 5 882956157 +437 83 4 880140325 +430 56 4 877226323 +303 264 3 879466214 +590 150 5 879438878 +627 26 3 879530824 +235 692 4 889655595 +17 323 1 885166256 +293 1016 2 888905086 +399 622 4 882343605 +334 58 4 891546914 +518 118 5 876823804 +536 189 5 882360143 +483 107 3 878951717 +472 378 4 875981759 +202 318 1 879727116 +275 420 2 875154535 +496 378 1 876066794 +346 642 3 874949952 +60 205 4 883326426 +558 14 4 879436097 +13 732 5 882141617 +577 845 4 880471578 +436 581 4 887772060 +278 538 4 891295164 +197 322 3 891409475 +200 141 4 884129346 +524 1456 3 884635031 +621 833 3 880738462 +554 432 4 876550491 +83 4 2 880336655 +384 751 4 891274091 +244 50 5 880604379 +286 312 4 884069415 +163 879 2 891219643 +13 427 5 882398814 +537 194 3 886030891 +498 203 5 881961547 +588 258 4 890014591 +577 932 3 880471287 +350 50 5 882345502 +220 289 4 881198113 +585 1266 3 891286059 +559 191 5 891034139 +582 826 3 882962652 +216 789 5 880233957 +540 591 3 882157036 +441 259 3 891035211 +279 1206 5 884986688 +405 1399 1 885549942 +592 147 4 882608357 +194 1411 1 879554331 +508 176 4 883767565 +483 432 3 884047278 +533 528 4 879438999 +234 524 3 892079910 +527 87 3 879456132 +271 527 5 885848736 +399 423 3 882344052 +19 210 3 885412840 +417 96 3 879646915 +533 276 1 889451077 +393 826 3 889731729 +82 121 4 876311387 +144 1197 4 888104322 +536 561 3 882364065 +301 51 4 882078928 +221 282 4 875244558 +373 1133 3 877112076 +475 259 5 891628024 +56 67 2 892677114 +21 988 1 874951005 +623 50 5 891035112 +453 357 5 877554174 +628 270 5 880776981 +92 4 4 875654222 +421 4 3 892241624 +497 724 5 879310445 +523 9 4 883700564 +239 634 4 889180487 +561 92 3 885809897 +288 515 4 886373591 +567 1020 3 882425820 +577 727 5 880474747 +398 124 5 875717717 +551 550 5 892784130 +381 176 4 892696698 +321 432 5 879439812 +405 798 1 885546724 +465 603 4 883531284 +51 479 3 883498655 +288 216 4 886629592 +554 274 3 876232317 +623 275 5 891035112 +95 509 4 879197728 +621 263 1 883800011 +420 100 5 891357104 +617 294 1 883788511 +144 588 4 888105549 +601 276 4 876346890 +198 923 3 884207946 +391 646 4 877399066 +43 276 4 883954876 +435 228 4 884131157 +536 214 2 882360450 +580 329 3 884124191 +622 284 1 882590670 +537 172 3 886030707 +66 294 4 883601089 +354 1085 3 891219432 +435 12 5 884131434 +541 596 4 884645816 +291 369 3 874834388 +625 748 3 891262561 +145 312 3 885622510 +276 1056 4 874796201 +450 222 3 882395778 +532 545 2 874791976 +354 25 2 891216854 +489 301 3 891366805 +11 286 5 891901606 +431 327 3 877844559 +533 151 3 879192474 +465 22 3 883531246 +509 603 4 883591826 +315 523 4 879799390 +500 1226 4 883865715 +501 293 4 883347823 +130 436 3 875801573 +8 259 1 879361604 +347 176 3 881653866 +450 647 4 887136622 +347 655 5 881653973 +505 203 4 889334162 +207 284 3 877746137 +474 382 3 887927339 +450 192 4 882467868 +268 53 3 875744173 +499 539 1 885598827 +87 477 3 879876610 +447 157 4 878856290 +440 86 5 891577919 +508 219 1 883767628 +104 276 4 888465290 +579 111 4 880952142 +504 58 3 887837740 +291 416 4 875087100 +565 730 5 891037837 +62 387 2 879376115 +378 132 4 880046256 +178 783 4 886678484 +536 862 3 882360834 +18 125 3 880131004 +65 238 3 879218449 +533 193 4 879439379 +436 721 3 887770092 +374 95 4 882158577 +398 737 2 875811449 +486 13 4 879874811 +622 993 4 882590809 +500 325 3 883864862 +479 210 4 889125866 +23 79 4 874785957 +125 1115 3 879454345 +429 301 3 882387252 +463 288 1 889943851 +524 613 4 884637347 +535 591 4 879617977 +507 316 5 889964844 +346 333 4 886273342 +615 259 1 879447642 +532 1337 3 874790930 +463 257 4 889935910 +536 227 5 882361066 +342 1315 1 875318742 +497 1000 2 878759777 +425 1016 3 878739054 +433 340 3 880585162 +497 645 3 878759659 +280 367 5 891701002 +92 396 3 875654733 +87 728 4 879876768 +456 603 5 881373019 +449 9 4 879958624 +85 435 4 879828911 +59 581 5 888206015 +194 991 2 879520306 +589 678 4 883352735 +450 549 3 882377358 +474 1518 3 887927338 +152 487 5 882474587 +425 346 5 890346198 +460 303 3 882910553 +560 258 5 879975116 +614 117 3 879464352 +437 51 1 880382644 +516 902 5 891290565 +627 699 1 879530263 +344 124 5 884899346 +472 715 4 875982607 +449 1195 5 880410754 +311 794 4 884366270 +279 294 2 875249117 +409 213 4 881107750 +585 1524 3 891283124 +561 597 3 885810428 +541 181 5 884046910 +608 162 3 880406862 +343 90 4 876406677 +403 1012 1 879786190 +429 671 3 882385065 +196 285 5 881251753 +12 159 4 879959306 +592 425 5 882956467 +417 800 2 879649467 +575 483 3 878148137 +574 690 3 891279174 +532 831 2 874790629 +151 430 4 879528418 +417 825 4 879646463 +533 195 4 879439082 +553 151 5 879949181 +148 521 1 877398836 +445 1252 1 891199749 +332 234 5 888360342 +180 1046 2 877442125 +304 111 3 884968264 +425 201 3 878738104 +57 295 5 883698581 +608 419 4 880405702 +194 944 2 879551999 +548 258 4 891042474 +24 200 5 875323440 +487 226 3 883531085 +588 73 3 890026262 +532 121 4 888636374 +524 29 3 884637173 +56 523 4 892676970 +551 698 4 892782734 +479 179 1 879461142 +7 324 1 892135078 +297 249 3 874955210 +295 204 4 879517655 +395 181 5 883764336 +457 531 5 882392906 +305 686 3 886324330 +438 471 4 879868184 +232 166 4 888549815 +312 663 5 891699599 +233 432 3 877663383 +347 163 4 881654801 +600 1407 2 888453083 +259 97 4 874809292 +524 286 5 884287379 +344 89 5 884814479 +387 732 1 886484215 +402 455 3 876266886 +536 402 4 882361042 +394 364 3 881059544 +430 1007 3 877225599 +435 1128 2 884132027 +538 238 5 877110174 +249 257 3 879571715 +537 509 4 886031540 +2 309 1 888980029 +621 147 3 880738282 +501 475 5 883348080 +477 25 5 875940755 +195 740 3 890985743 +115 657 3 881171488 +553 492 3 879949042 +268 630 4 875542174 +234 517 3 892333919 +40 316 3 889041643 +194 87 4 879523104 +566 707 4 881650442 +233 234 4 877664010 +179 333 5 892151459 +229 288 4 891633028 +457 100 5 882393244 +459 100 1 879562859 +385 498 3 879441942 +393 79 4 887745973 +517 597 4 892660034 +566 772 4 881650467 +298 127 5 884125847 +153 258 5 881371336 +13 328 3 881514811 +487 748 4 883440540 +567 298 4 882426279 +254 554 3 886475952 +417 145 3 879648979 +308 928 4 887742103 +276 421 4 874795500 +215 195 5 891435655 +621 107 4 880737311 +451 288 5 879012470 +514 658 4 875463028 +428 347 4 885943782 +207 1028 3 877847025 +106 161 3 881452816 +629 284 4 880117719 +102 892 2 883278138 +524 277 3 884322379 +7 429 5 891351002 +472 234 4 875980081 +523 66 4 883702292 +280 1182 3 891702214 +437 770 3 881001208 +313 484 5 891016193 +583 268 5 879384094 +559 687 3 891035551 +286 476 4 876521993 +141 284 5 884585071 +331 682 5 877196820 +456 99 3 881374767 +184 79 3 889909551 +567 191 3 882427124 +60 265 5 883327591 +305 184 3 886323937 +405 1408 1 885549094 +569 117 3 879793847 +551 317 5 892777092 +608 489 5 880403765 +379 1 4 883156176 +497 187 5 879310825 +407 521 3 884201716 +429 250 2 882386357 +94 29 2 891723883 +385 191 2 879444597 +389 168 5 879991434 +193 895 1 889123777 +601 196 3 876349810 +455 1028 2 879110767 +328 117 4 885046420 +497 153 4 878759659 +537 875 1 886028544 +244 357 5 880605553 +486 879 3 879874297 +401 509 4 891033582 +495 496 5 888632888 +297 185 5 875239870 +56 946 4 892737210 +6 274 4 883602501 +493 95 5 884131287 +595 1059 4 886921344 +151 9 4 879524199 +177 1218 4 880131231 +69 265 4 882145400 +299 283 3 889417370 +82 834 1 884714618 +621 748 4 880226710 +59 1 2 888203053 +393 29 4 889729398 +521 144 3 884478171 +537 653 4 886030738 +379 271 3 886835602 +452 924 5 885816916 +350 479 5 882345789 +57 105 3 883698009 +506 175 5 874873327 +104 255 1 888465604 +52 285 5 882922227 +421 448 3 892241687 +457 8 5 882397734 +271 521 5 885848373 +54 328 4 880928957 +327 631 3 887747133 +469 483 5 879524177 +528 238 3 886101782 +367 563 4 876690077 +381 931 4 892697628 +465 87 4 883530054 +499 657 5 885599413 +429 387 4 882386051 +268 455 3 875742499 +533 282 4 888844577 +50 268 4 877051656 +591 740 4 891039974 +608 609 5 880406950 +79 93 2 891271676 +621 135 5 885596819 +85 345 4 884820077 +479 483 4 879460844 +537 749 2 886028544 +224 329 3 888082187 +346 250 3 886274255 +25 837 4 885852611 +59 746 5 888204642 +537 698 3 886031178 +380 521 2 885479397 +276 53 4 883822485 +539 153 5 879788533 +387 952 5 886484561 +189 162 3 893266230 +570 245 1 881262497 +553 474 5 879948609 +601 184 3 876350230 +450 136 5 882812349 +402 258 4 876266650 +627 179 5 879530536 +286 172 4 889651549 +553 177 4 879949180 +526 408 5 885682562 +537 275 4 886029806 +56 778 4 892678669 +385 1154 5 880870205 +601 496 4 876349302 +388 333 5 886439561 +555 249 4 879963127 +429 761 2 882386711 +487 128 5 883531333 +191 750 4 891560253 +416 696 3 876697524 +448 1602 4 891888042 +151 463 5 879525002 +308 679 4 887739426 +417 642 5 879647947 +479 100 3 879460028 +181 1338 1 878962240 +109 531 4 880578066 +585 212 5 891282894 +545 88 3 879901941 +589 259 5 883352631 +551 651 4 892776750 +318 1063 3 884495973 +562 501 5 879196653 +457 265 5 882397699 +580 1028 3 884125829 +145 342 4 882181205 +533 14 3 879192582 +450 610 4 882371904 +99 1 4 886518459 +436 1135 4 887771022 +423 546 2 891395684 +334 185 4 891545950 +588 423 3 890015649 +6 178 4 883600785 +59 649 4 888205660 +394 184 3 880889010 +483 109 5 882165734 +468 273 2 875280499 +318 739 5 884496984 +389 480 5 879991175 +110 1210 3 886989191 +487 620 3 883445168 +392 304 4 891037720 +290 265 4 880475371 +453 1017 3 887942122 +288 435 4 889225633 +610 483 5 888702859 +308 288 4 887736408 +385 675 5 879446952 +25 131 4 885852611 +301 43 5 882078994 +621 541 4 874964605 +319 689 3 881355802 +633 28 4 877212366 +518 273 5 876823804 +605 137 5 879425432 +496 133 5 876066567 +145 652 5 882181571 +186 203 5 879023529 +437 244 3 881001270 +38 405 5 892432205 +365 895 4 891303515 +514 357 4 875462901 +370 497 3 879434636 +104 405 3 888466028 +19 268 2 885412034 +411 181 5 892845605 +290 732 4 880473777 +11 86 4 891904551 +152 692 5 880149963 +70 568 3 884149722 +592 195 4 882955863 +453 210 4 877554587 +297 4 1 875240201 +181 818 1 878963380 +291 798 4 874871655 +382 1381 3 875945757 +553 481 3 879948806 +406 190 5 879793210 +506 234 5 874873111 +541 376 3 883866210 +378 409 2 880044642 +344 316 4 889814343 +608 97 3 880405659 +6 473 2 883600111 +506 58 4 874874985 +301 142 3 882078420 +31 328 2 881547746 +605 180 4 879424315 +627 1004 4 879531504 +452 510 4 875562475 +537 235 1 886030317 +516 50 5 891290565 +483 270 3 891917351 +595 825 2 886921606 +125 367 4 892836551 +267 31 4 878972119 +452 430 3 885817719 +608 265 3 880406470 +455 1197 4 879109565 +320 453 3 884751610 +500 729 4 883875303 +601 411 2 876348107 +276 393 4 874792094 +430 50 4 877225516 +503 435 3 880472125 +622 730 4 882669509 +472 588 3 875979797 +307 209 5 879283798 +389 1114 2 880614050 +565 170 5 891037291 +420 508 3 891357162 +85 301 4 886283002 +338 427 4 879438419 +537 613 3 886031831 +542 191 5 886532338 +536 501 3 882360834 +6 408 4 883599075 +541 196 4 883864928 +145 1215 2 888398400 +532 250 3 891910110 +145 572 5 888398747 +343 527 5 876404757 +442 273 4 883390328 +409 283 4 881109264 +327 79 3 887745661 +328 29 3 885048930 +618 2 2 891309091 +393 566 3 887745717 +433 507 4 880585730 +64 1140 1 889740676 +293 492 5 888906096 +489 988 3 891446982 +128 181 4 879966954 +592 264 2 882607528 +64 188 4 889739586 +21 145 1 874951761 +555 236 5 879962769 +561 1529 3 885809064 +590 864 1 879439567 +621 451 1 874963028 +526 919 3 885682400 +345 378 4 884993436 +178 506 3 882827084 +277 124 3 879543421 +276 658 4 874791194 +119 210 5 874781407 +543 735 4 874863269 +174 9 5 886439492 +548 31 5 891044481 +130 354 5 888211701 +454 693 2 888267315 +555 489 5 879975455 +276 1244 3 874836608 +354 489 4 891217851 +508 317 4 883767246 +26 1011 3 891371597 +506 538 3 880908452 +566 15 3 881650030 +605 582 4 879424661 +405 52 1 885546379 +292 844 5 881104481 +275 96 3 880314914 +615 289 2 879447670 +91 136 4 891438909 +529 321 4 882535353 +582 222 4 882961804 +125 520 5 892836309 +109 82 5 880572680 +327 202 4 887822400 +354 558 4 891217082 +625 739 3 891263665 +608 789 3 880405971 +449 269 5 879958444 +504 1030 3 887911314 +608 695 5 880405565 +244 82 3 880606667 +94 173 4 885872758 +297 151 3 875239975 +497 741 4 879361707 +618 237 4 891307343 +334 115 5 891545768 +432 24 1 889416188 +533 10 2 879192414 +87 89 4 879875818 +532 879 3 892519328 +450 35 2 882468790 +116 390 4 876454090 +350 515 5 882346756 +478 763 5 889388375 +592 197 5 882955863 +380 1113 4 885479730 +526 678 1 885682214 +493 50 5 884131553 +184 93 4 889907771 +177 288 5 880130467 +618 131 4 891307343 +621 554 4 874964657 +6 538 2 883268483 +614 100 5 879464119 +308 428 5 887739426 +181 1302 1 878962086 +622 755 4 882670211 +498 1070 3 881959103 +308 825 4 887740700 +92 780 3 875660494 +201 1069 2 884111312 +498 603 4 881955960 +514 257 4 880209981 +107 902 5 891264501 +163 300 3 891219977 +407 25 3 876339975 +28 176 5 881956445 +426 99 4 879444081 +249 480 5 879572210 +18 613 5 880129769 +378 796 2 880333626 +592 271 4 882607647 +517 275 5 892660728 +539 956 5 879788405 +461 255 2 885355890 +504 180 4 887837918 +506 796 3 874875062 +320 231 2 884749411 +599 471 4 880953441 +541 257 5 884046320 +44 211 4 878347598 +619 403 5 885954159 +479 282 5 879460049 +592 1025 1 882607745 +591 204 4 891031500 +632 188 4 879457857 +312 835 5 891712535 +250 181 4 878089393 +452 245 2 876216206 +593 65 3 875671674 +521 1012 3 884476049 +472 1036 4 875983484 +541 215 4 885595771 +291 85 2 874877699 +389 525 4 880165277 +268 204 3 875310311 +280 67 4 891701785 +380 712 2 885480585 +442 695 5 883387935 +378 703 4 890572396 +268 12 4 875310116 +450 507 5 882373020 +601 164 4 876350875 +335 748 2 891567098 +7 597 3 891353744 +588 25 4 890024677 +76 513 5 882606305 +221 469 3 875245481 +197 38 3 891410039 +314 99 4 877888391 +406 89 4 879446361 +320 368 3 884748946 +535 658 4 879618569 +350 214 3 882347465 +113 273 4 875935609 +463 116 5 877385381 +486 1272 3 879875154 +450 490 5 882373786 +182 181 5 885612967 +566 512 4 881650148 +385 200 3 879446110 +308 135 5 887737243 +207 33 2 877125422 +495 227 5 888636899 +256 657 5 882164727 +239 228 2 889180651 +553 1021 2 879949153 +577 12 4 880474257 +346 98 2 874948173 +600 38 3 888452491 +298 186 4 884183256 +504 579 4 887911391 +591 286 4 891030956 +184 283 5 889913687 +350 489 4 882347465 +520 25 4 885170476 +545 217 5 879899934 +378 807 3 880334199 +371 357 5 877487751 +622 479 4 882669668 +312 613 5 891698454 +605 284 2 880762139 +378 28 4 880045989 +600 526 4 888451750 +270 121 4 876954093 +158 55 4 880134407 +524 281 2 884323464 +579 408 3 880951740 +454 740 2 888266433 +174 1262 5 886434566 +365 235 2 891304278 +624 864 3 879793198 +474 73 3 887928793 +286 428 5 877532303 +222 508 3 877563326 +416 658 5 893214226 +65 88 4 879217942 +64 135 4 889737889 +410 340 2 888626506 +521 392 3 886063254 +568 6 3 877907235 +491 900 5 891189761 +537 92 3 886031678 +457 52 4 882398055 +279 922 3 890451433 +195 1193 4 888737346 +207 414 2 876078916 +23 432 4 884550048 +181 1340 1 878962240 +479 79 4 879460894 +441 683 2 891035350 +204 321 1 892388900 +463 544 4 877385415 +601 250 4 876346930 +551 447 5 892783711 +425 568 3 878738643 +532 470 5 892859148 +322 528 5 887314418 +416 7 4 876697205 +126 300 4 887854943 +605 15 5 879427151 +92 125 4 876175004 +453 742 3 888207161 +254 1 3 887347350 +498 121 2 881962699 +407 40 1 876338799 +620 268 4 889986452 +405 233 1 885547952 +478 412 4 889388249 +385 250 3 879440701 +312 1020 5 891698553 +557 872 5 881095916 +583 239 2 879384522 +73 153 3 888626007 +537 349 1 886028845 +104 534 2 888465554 +546 56 5 885141332 +533 1 4 879192521 +35 876 2 875458970 +623 523 4 891034756 +454 451 4 888267455 +294 100 4 877819265 +577 385 5 880474530 +500 930 3 883865929 +303 475 4 879467155 +538 240 2 877109422 +472 72 5 892791017 +622 12 5 882669468 +590 244 3 879439431 +151 381 5 879528754 +15 291 3 879456084 +535 204 5 879617856 +308 423 5 887736999 +170 687 3 884706063 +620 565 4 889987682 +551 384 1 892785223 +104 237 3 888465263 +458 473 4 886395022 +562 197 4 879196105 +109 88 4 880581942 +354 251 5 891216691 +316 172 1 880854197 +53 7 3 879442991 +256 1051 4 882150552 +1 119 5 876893098 +478 237 5 889388863 +250 751 2 883262694 +399 1480 3 882350899 +406 543 4 884631010 +560 281 3 879976828 +474 99 4 887927339 +303 762 4 879468179 +89 237 4 879441381 +455 405 3 879109764 +522 318 4 876961248 +618 496 4 891307619 +527 59 5 879455792 +585 707 5 891282894 +484 250 4 891194646 +271 659 3 885848827 +405 1224 1 885546487 +435 944 2 884133911 +586 403 4 884061807 +592 876 1 882607690 +305 202 3 886323684 +458 709 4 886396192 +56 176 5 892676377 +416 195 5 893214128 +621 181 5 874965408 +250 367 4 878090330 +363 572 2 891498469 +293 895 3 888904410 +617 132 1 883789006 +478 216 5 889396029 +608 193 4 880405824 +152 133 5 882474845 +581 847 3 879641787 +279 666 2 890451373 +1 26 3 875072442 +602 125 4 888638674 +615 644 4 879448599 +554 576 4 876549377 +543 202 4 874863734 +608 1113 3 880406862 +406 203 4 882480891 +527 19 3 879456611 +486 864 3 879875041 +342 873 3 874984068 +109 118 3 880571801 +234 429 4 892079434 +22 163 1 878886845 +336 284 4 877759833 +479 209 4 879460863 +478 357 5 889388724 +526 243 1 885682295 +257 381 5 880496690 +318 215 2 884496218 +504 98 5 887832433 +592 263 1 882607779 +466 455 3 890285113 +343 515 4 876402626 +496 532 5 876072633 +181 322 1 878961814 +572 1010 2 879449683 +493 754 3 884129868 +195 373 3 875158215 +301 1283 4 882075386 +385 1158 5 879443150 +145 1025 4 877343020 +391 546 3 877400037 +115 13 5 881171983 +454 107 3 888267087 +44 90 2 878348784 +457 425 4 882397828 +31 299 4 881547814 +535 630 2 879619144 +487 1446 3 883530814 +458 287 4 886394822 +303 960 4 879467361 +545 69 4 884133906 +528 194 5 886101956 +13 754 4 882140718 +441 1 5 891035468 +352 194 3 884290361 +379 674 3 880524614 +551 1207 1 892785300 +402 1101 4 876267234 +286 527 4 877531407 +406 64 4 879445430 +560 235 2 879976867 +311 1221 4 884364502 +405 1359 1 885549790 +450 510 4 887660722 +405 584 1 885548785 +338 213 5 879438250 +465 529 3 883529984 +510 881 2 887667838 +592 42 5 882955918 +568 286 3 877906547 +179 362 1 892151231 +60 641 5 883326086 +60 411 3 883327827 +406 945 3 884631010 +620 465 4 889988232 +460 253 3 882912316 +458 427 4 886396460 +416 88 3 886316140 +313 152 3 891016878 +416 29 2 886318228 +484 97 5 891194957 +141 286 4 884584247 +267 826 3 878971266 +592 411 2 882608457 +108 252 3 879879961 +478 469 3 889395879 +468 275 4 875280143 +396 1215 2 884646709 +478 28 3 889395655 +303 1215 1 879544435 +406 607 4 882480511 +495 147 5 888637768 +355 681 4 879485523 +221 186 4 875245641 +173 984 4 877556988 +573 205 3 885844674 +64 340 4 879365313 +600 435 5 888451750 +537 193 4 886031375 +328 729 4 885047737 +534 628 5 877807747 +399 26 2 882510126 +586 235 3 884066859 +380 750 4 885477859 +393 1055 4 889728895 +271 126 3 885848034 +506 81 1 874874000 +244 197 4 880605838 +414 258 5 884998953 +507 328 5 889964162 +291 1229 2 874868027 +267 206 5 878974783 +620 768 5 889988069 +456 228 3 881374548 +139 150 4 879538327 +551 808 3 892783791 +498 271 2 881962988 +508 528 5 883777430 +312 537 5 891698516 +500 381 4 883875585 +207 175 1 877845982 +459 333 3 879561574 +292 264 3 877628138 +393 1440 3 889731359 +42 66 4 881108280 +414 260 3 884999193 +332 895 5 887916385 +525 255 1 881086078 +399 156 3 882342537 +532 865 2 888630531 +534 471 5 877807935 +561 13 3 885810060 +6 427 4 883600707 +441 405 3 891035507 +561 436 4 885807843 +447 176 4 878856148 +85 1172 4 879453781 +342 789 3 875319412 +555 7 4 879962172 +632 288 3 879458977 +85 462 4 879454189 +633 1132 2 875325691 +538 215 5 877107536 +361 212 5 879440941 +148 222 4 877398901 +566 95 2 881649913 +465 257 4 883530818 +495 671 2 888634956 +18 708 3 880129595 +567 273 5 882427068 +62 159 3 879375762 +601 109 4 876346930 +631 272 4 888464916 +560 480 3 879975613 +78 813 2 879633745 +634 458 4 875729148 +299 23 4 878192154 +2 306 4 888550774 +181 409 2 878963276 +363 506 2 891496077 +429 780 3 882387685 +291 735 4 874868027 +522 133 3 876961314 +334 315 4 891550535 +303 552 2 879485048 +604 183 3 883668021 +249 806 5 879572167 +592 460 3 882608873 +537 357 4 886030707 +320 760 3 884748946 +565 855 5 891037628 +188 470 5 875073647 +140 286 5 879013617 +561 1069 4 885808053 +417 797 3 880952656 +299 25 3 877878227 +537 133 4 886030707 +532 259 3 884594498 +601 39 1 876350443 +537 610 4 886031912 +553 648 4 879948552 +378 365 2 880318158 +141 330 1 886447735 +445 276 3 891199869 +145 274 3 875270800 +233 203 3 880923202 +554 118 4 876550257 +322 157 5 887314244 +535 151 4 879618338 +494 15 5 879541475 +407 484 4 875042378 +606 95 4 880924188 +186 1336 3 879024346 +324 827 4 880575715 +618 273 4 891309293 +176 874 4 886047118 +64 194 5 889737710 +417 404 3 879647947 +412 172 5 879717449 +535 282 3 879618091 +634 476 3 875729668 +463 7 4 877385180 +99 595 4 885679504 +488 208 4 891294298 +381 432 5 892696587 +11 544 4 891903226 +308 148 3 887740788 +308 8 5 887736696 +617 53 1 883789537 +497 1047 3 879309836 +622 283 4 882590534 +585 166 4 891283338 +83 1060 3 880306926 +274 15 5 878945505 +551 1314 2 892783750 +230 693 2 880485594 +130 1028 4 876250805 +455 281 3 879110281 +536 385 4 882359085 +553 490 4 879949073 +585 190 4 891282808 +555 285 5 879963127 +474 489 4 887923972 +537 85 2 886032123 +181 242 1 878961814 +552 455 3 879221764 +624 50 5 879792581 +311 498 4 884364931 +618 778 3 891308515 +324 14 5 880575531 +486 887 5 879874218 +33 879 3 891964230 +454 357 3 881959844 +238 301 3 883575855 +81 591 5 876534124 +10 32 4 877886661 +621 364 3 874963446 +437 181 4 880140466 +627 281 3 879531504 +600 550 4 888452071 +48 527 4 879434654 +458 124 4 886394822 +336 765 4 877757516 +567 496 5 882426184 +617 98 2 883789080 +387 13 4 886480788 +422 334 4 877162682 +546 569 4 885141502 +615 179 4 879447968 +399 508 3 882509971 +518 866 5 876823540 +511 872 5 890004728 +351 328 4 879481550 +151 516 5 879542707 +422 93 4 875129882 +561 304 3 891710572 +39 269 4 891400188 +119 931 1 886178294 +216 42 5 880234469 +496 432 4 876066652 +464 748 4 878354681 +560 813 4 879976478 +625 172 4 891263057 +279 502 5 875310263 +596 258 3 883539011 +495 168 5 888632738 +290 1060 3 880732271 +552 249 3 879222368 +329 313 4 891655191 +184 596 4 889907812 +59 491 4 888206689 +524 180 4 884634579 +227 1011 4 879035834 +548 270 5 891044304 +214 603 4 891544089 +536 176 3 882359726 +595 1094 3 886921820 +586 186 2 884059287 +593 216 5 875671277 +566 705 4 881649871 +621 33 4 874962824 +249 294 3 879571557 +569 252 3 879795551 +450 164 4 882396050 +455 301 2 879110767 +141 248 3 884585039 +552 620 3 879222738 +201 750 3 884110598 +559 265 4 891033696 +606 197 3 880926862 +458 425 3 886398246 +474 1045 4 887927728 +592 303 5 882607325 +561 32 4 885807455 +288 1358 5 886892241 +545 388 3 880347984 +276 647 4 874790903 +597 988 1 875339237 +5 415 1 875636842 +385 719 2 879447136 +559 127 4 891033956 +407 123 3 876342671 +588 347 5 890014648 +437 463 5 880141008 +94 281 3 891722576 +439 285 5 882893220 +413 300 4 879968959 +577 623 5 880475149 +634 237 5 877018125 +496 246 4 876064198 +66 121 3 883601834 +455 39 2 879111345 +365 125 3 891304152 +422 458 3 875130173 +6 435 4 883601529 +271 198 4 885848616 +639 88 3 891239638 +624 346 3 885215462 +85 1006 3 882995833 +3 181 4 889237482 +416 36 2 878879809 +314 628 5 877886606 +109 233 4 880578502 +128 705 3 879968096 +618 697 3 891308063 +325 319 3 891477638 +224 925 3 888104281 +634 273 3 875729069 +64 210 3 889737654 +538 127 5 877107231 +23 91 4 884550049 +542 1098 4 886532818 +551 79 5 892776824 +585 45 5 891282808 +456 490 4 881373084 +13 91 2 882398724 +437 234 4 880142851 +297 174 5 875410071 +524 530 4 884634785 +535 11 4 879618849 +627 210 3 879531248 +110 313 5 886987183 +399 386 3 882349353 +246 1228 1 884923971 +479 732 4 879461120 +603 100 4 891956776 +151 523 5 879524173 +588 1039 4 890024611 +279 1132 1 892864828 +123 276 4 879873830 +606 11 5 880923579 +292 1 4 881104147 +318 318 5 884496218 +95 515 5 879197329 +56 154 2 892911144 +542 58 4 886532571 +305 751 3 886307971 +181 275 3 878962720 +515 310 3 887658975 +385 945 5 879441313 +492 923 5 879969878 +394 763 3 881058929 +246 633 3 884920997 +315 154 5 879821158 +567 611 4 882425998 +588 15 5 890015608 +430 515 4 877225660 +514 69 4 875309276 +590 276 4 879439645 +114 357 4 881259525 +177 292 3 880130415 +352 302 4 884289619 +106 712 3 881452599 +537 22 2 886030767 +90 273 3 891385040 +301 465 4 882077811 +553 99 5 879948508 +457 155 4 882550065 +52 258 5 882922065 +128 1192 2 879967576 +528 174 5 886101821 +23 145 3 874786244 +534 1059 4 877807692 +577 561 4 880474955 +276 252 3 874787006 +417 1228 2 879649304 +133 300 3 890588577 +478 255 4 889398363 +176 321 4 886047176 +543 664 4 874863336 +298 435 5 884182573 +536 699 3 882360209 +230 239 4 880484320 +588 623 3 890026939 +98 428 5 880498834 +72 97 4 880036638 +85 516 4 879454272 +478 137 4 889398260 +87 235 3 879877208 +307 631 3 879283544 +532 1426 3 874791506 +405 195 5 885544881 +313 186 3 891017011 +585 116 3 891284393 +533 603 4 879190670 +312 491 5 891699702 +361 421 3 879440974 +406 624 5 879793112 +536 648 3 882359678 +561 382 4 885807842 +490 258 2 875427021 +497 746 5 878759777 +624 271 3 879791884 +595 928 3 886921820 +442 161 3 883390497 +554 86 4 876369678 +541 769 1 884046888 +537 171 3 886030967 +59 87 4 888205228 +102 260 2 883277645 +548 991 1 891044050 +599 1152 4 880951623 +630 294 4 885666018 +586 226 4 884061806 +303 502 4 879484421 +545 444 3 879899978 +452 482 5 885544110 +269 647 4 891447815 +412 276 5 879717572 +345 955 4 884993932 +416 660 5 893213404 +639 242 4 891238514 +174 15 5 886434065 +298 951 4 884183130 +499 326 3 892501059 +405 234 5 885548275 +95 186 5 880573288 +442 550 2 883390466 +279 186 5 875309482 +407 436 3 875045814 +484 144 4 891195298 +393 28 4 889554674 +246 97 3 884922272 +345 239 4 884993485 +537 498 3 886031105 +537 965 2 886031540 +71 14 5 877319375 +577 795 3 880476630 +621 876 2 883799203 +363 523 3 891494659 +169 300 5 891268491 +544 689 2 884795706 +184 1148 3 889910098 +248 64 5 884534735 +634 405 4 877017872 +466 89 3 890284819 +210 167 4 891036054 +342 47 5 874984430 +224 748 3 888082099 +239 434 5 889180041 +163 258 4 891219977 +484 239 4 891195036 +307 28 3 877119480 +287 546 4 875334271 +299 1056 4 889502292 +553 205 4 879948869 +627 144 2 879531158 +296 515 5 884196555 +544 325 1 884796016 +389 25 3 879916170 +405 219 5 885548384 +470 125 4 879178969 +561 193 3 885808673 +435 199 5 884132072 +630 934 3 885667624 +489 340 4 891448367 +325 236 3 891478695 +543 443 4 874864857 +137 405 5 881433336 +417 69 3 879647471 +551 42 5 892783212 +162 105 2 877636458 +346 204 4 874948730 +632 622 4 879459418 +429 276 5 882385542 +535 478 5 879617931 +495 191 3 888632219 +402 42 4 876267173 +591 56 4 891031344 +537 306 3 886028604 +239 221 5 889180447 +622 11 4 882669740 +620 294 5 889986557 +269 956 3 891448475 +361 694 4 879440774 +407 159 3 876338453 +593 70 5 875658983 +495 575 3 888637477 +530 319 3 891568424 +314 257 5 877886413 +489 294 3 891366748 +608 886 1 880402564 +405 661 3 885546025 +450 135 3 882373231 +23 250 4 874784338 +486 295 3 879874630 +221 1185 3 875246710 +457 509 4 882398086 +221 1017 4 875244268 +237 169 5 879376381 +44 655 3 878347455 +18 285 5 880130333 +271 461 5 885849582 +344 174 5 884900993 +545 161 4 879899472 +587 303 4 892871068 +474 15 5 887915600 +589 895 5 883352562 +342 1008 3 875318669 +453 168 4 877553708 +201 216 4 884111360 +7 134 4 892134959 +547 347 4 891282680 +472 550 5 875983066 +449 983 2 879959331 +308 663 5 887738469 +296 144 4 884197131 +381 151 5 892697526 +458 430 5 886398543 +158 187 5 880134332 +268 13 3 875742647 +398 710 2 875716830 +425 79 4 878738335 +125 455 5 879454987 +356 286 3 891405721 +312 191 5 891698334 +496 561 5 876068582 +448 333 2 891887161 +291 210 5 875086491 +2 25 4 888551648 +7 585 4 892133180 +561 410 1 885810117 +592 1060 2 882609057 +444 251 5 890247385 +627 1194 4 879529855 +630 845 3 885666918 +533 181 5 879191085 +417 13 2 879646591 +499 69 5 885599718 +561 735 3 885809712 +374 77 5 880937779 +51 173 5 883498844 +614 411 3 879465452 +559 1101 4 891035111 +642 70 2 886132189 +475 381 4 891627606 +294 235 3 877819532 +393 26 3 887746767 +484 9 1 881449910 +545 665 3 879899299 +120 742 4 889490549 +380 315 4 885477975 +472 584 1 875980377 +399 781 2 882350617 +301 64 5 882075672 +381 15 2 892697358 +7 194 5 891351851 +590 1017 4 879439196 +606 228 5 880924663 +178 143 4 882827574 +577 1032 3 880475561 +514 709 3 876067380 +609 287 5 886894940 +621 423 4 880739654 +162 358 3 877635375 +405 549 1 885546336 +373 1110 4 877107379 +504 1133 3 887910871 +306 111 4 876504442 +468 159 3 875292320 +387 99 5 886483620 +64 652 2 879365590 +586 276 3 884057692 +149 325 2 883512834 +620 101 2 889988069 +326 481 1 879874964 +552 123 3 879222033 +213 258 4 878870226 +254 1091 3 886475586 +521 132 3 885253186 +397 135 5 885349825 +620 121 5 889987825 +510 678 4 887667780 +3 338 2 889237297 +482 127 4 887644063 +637 100 4 882902924 +190 544 4 891033806 +619 328 1 885953684 +416 312 3 885114480 +624 262 4 891961078 +425 636 4 878738596 +308 404 3 887736998 +18 649 3 880131591 +501 508 4 883347920 +543 831 2 876718718 +487 845 4 883442260 +198 70 3 884207691 +627 403 2 879530694 +421 672 3 892241687 +560 1163 3 879976988 +59 237 3 888203371 +560 250 4 879976126 +500 129 4 886359266 +505 378 5 889333466 +330 501 5 876546719 +640 11 4 874777440 +512 302 4 888578289 +374 568 5 880396622 +548 603 5 891044356 +487 3 5 883444583 +214 196 4 891544493 +200 117 5 876042268 +323 258 4 878738826 +262 1 3 879962366 +637 690 5 882900888 +198 132 4 884208137 +546 895 3 885139608 +117 406 3 881010556 +620 379 4 889987656 +148 175 4 877016259 +417 395 4 879649199 +335 355 3 891567053 +195 433 3 878019342 +578 380 3 888957833 +418 288 5 891282836 +198 655 4 884209188 +577 595 4 880471170 +497 186 4 878759806 +87 414 3 879876673 +474 1020 3 887926573 +295 208 5 879517157 +343 461 2 876404957 +343 265 2 876406878 +566 1044 3 881651583 +387 121 2 886481228 +543 647 3 874864182 +116 285 4 876454023 +130 589 4 875216717 +622 30 4 882670190 +333 186 4 891045335 +548 307 4 891042474 +600 1231 2 888452152 +588 1041 2 890027063 +481 692 4 885828339 +632 164 4 879458692 +634 302 5 877974667 +416 821 4 886317146 +416 364 2 886319855 +311 197 4 884365686 +141 323 4 884584480 +194 238 5 879521396 +344 198 5 884814507 +409 28 2 881107943 +533 597 3 879192939 +579 100 4 880952201 +487 181 4 883441956 +532 1502 1 874796400 +263 622 4 891299949 +453 223 4 888203147 +642 1039 5 885602630 +385 502 3 879446235 +194 91 3 879524892 +27 9 4 891542942 +327 482 4 887745661 +458 1011 3 886394471 +435 67 4 884132919 +62 62 3 879375781 +28 429 5 881960794 +295 629 5 879518780 +116 325 3 876452186 +256 1047 4 882151743 +13 241 3 882397502 +85 813 4 879452664 +90 1137 2 891384516 +158 202 5 880135001 +585 639 4 891283921 +268 1228 1 875744357 +374 247 1 880936522 +553 86 3 879948771 +612 878 2 875324400 +524 100 5 884322047 +336 1188 3 877757418 +407 70 4 884197052 +456 658 3 881375351 +630 717 3 885667661 +276 765 3 877935335 +472 751 5 892790628 +435 392 3 884131404 +288 520 5 886374497 +519 288 4 883248089 +510 259 2 887667708 +69 742 3 882072956 +389 1041 3 880088269 +209 181 4 883417491 +483 99 3 884047323 +389 58 4 880087695 +445 346 5 891200869 +206 1062 3 888180018 +572 1137 3 879449708 +560 136 3 879975661 +409 58 4 881108170 +82 228 3 878769629 +610 216 4 888703291 +32 742 3 883717628 +468 15 4 875280518 +254 389 3 886473852 +566 392 4 881650519 +77 833 1 884733284 +142 346 5 888639815 +13 639 3 882139804 +346 318 5 874948105 +416 778 3 886316835 +72 170 3 880037793 +601 179 5 876351073 +506 226 4 885135844 +391 59 5 877399745 +554 227 3 876369198 +15 285 4 879455635 +447 1046 3 878856602 +546 930 5 885141260 +600 176 5 888451665 +540 240 3 882157662 +440 1591 5 891548567 +536 470 5 882360530 +405 523 2 885545975 +588 333 5 890014710 +312 154 4 891699372 +457 755 4 882549356 +542 346 3 886532149 +234 649 3 892335870 +509 332 2 883590800 +214 1073 5 892668130 +503 479 4 880383653 +457 462 5 882396283 +331 491 3 877196383 +533 319 3 879193132 +130 816 5 880396518 +592 457 1 882607779 +387 230 3 886483194 +552 866 3 879222002 +13 394 2 882399615 +374 123 2 880393511 +642 951 3 886568618 +587 272 5 892870956 +617 606 3 883788929 +286 433 5 877531537 +373 217 3 877098821 +160 763 4 876768025 +518 120 3 876824218 +83 371 3 880308408 +387 192 5 886484336 +533 412 1 879366159 +599 120 3 880953441 +450 735 4 882377590 +298 22 4 884182965 +23 156 3 877817091 +442 100 2 883388325 +207 735 4 877878688 +288 511 4 886373509 +72 461 3 880036824 +201 172 5 884111269 +506 417 4 874874396 +628 330 5 880777096 +642 38 4 885843141 +623 815 2 891034053 +618 1071 1 891308542 +85 210 3 879454981 +508 121 2 883767047 +82 288 3 876311518 +624 748 3 879792109 +102 228 4 888801465 +374 174 5 880395530 +334 936 3 891544764 +490 596 1 875427225 +626 288 3 878771243 +488 483 3 891293660 +325 443 4 891478817 +293 658 1 888907499 +144 475 1 888104032 +460 273 4 882912371 +313 133 5 891014956 +306 286 4 876503793 +559 238 1 891035674 +502 539 3 883701980 +23 174 4 874785652 +618 724 3 891309091 +464 298 4 878355061 +517 50 5 892660727 +194 449 1 879554897 +286 95 5 877531407 +468 423 4 875296868 +312 487 5 891699655 +181 820 1 878963342 +577 281 3 880470447 +416 1016 5 893213444 +214 24 3 891543176 +525 25 5 881085917 +417 388 3 879649178 +576 259 2 887168978 +562 427 4 879195244 +498 985 1 881961877 +435 404 2 884132266 +514 135 4 875311193 +378 742 4 880044697 +73 154 5 888625343 +492 523 4 879969583 +484 399 4 891195565 +305 91 2 886323303 +551 715 1 892785128 +85 465 4 879454437 +447 742 3 878854658 +618 12 4 891307263 +83 174 5 880307699 +160 240 4 876768990 +330 432 4 876546753 +442 508 3 883388283 +308 856 4 887738387 +294 249 5 877819941 +613 303 4 891227111 +334 74 2 891549246 +327 357 4 887747338 +217 147 3 889070174 +349 1128 3 879466062 +500 61 4 883875431 +345 245 2 884901497 +617 488 4 883789386 +612 1063 5 875325049 +371 186 5 880435288 +30 873 1 875061066 +373 603 4 877098262 +597 936 3 875343067 +429 662 3 882386309 +543 96 4 875665787 +126 326 2 887853919 +535 121 4 879618123 +193 280 4 889124016 +552 15 3 879222484 +535 421 4 879617701 +530 172 4 883790882 +454 612 3 881960145 +378 281 3 880044609 +504 452 2 887911974 +573 492 4 885843964 +466 87 3 890285706 +76 343 3 882129361 +435 183 5 884132619 +417 944 4 880952141 +448 305 4 891888509 +446 887 4 879786943 +270 694 5 876954927 +85 69 4 879454582 +429 69 5 882386309 +574 331 1 891279013 +458 169 5 886396390 +389 481 5 879991147 +3 302 2 889236939 +338 196 2 879438505 +57 8 4 883698292 +634 977 3 877018033 +541 82 3 883871562 +489 259 2 891445743 +495 2 2 888635595 +556 507 5 882136205 +587 688 3 892871536 +276 458 4 874786854 +279 659 5 877756699 +429 1418 3 882385267 +298 866 3 884183930 +469 656 5 879524116 +334 606 5 891545793 +536 195 4 882359431 +577 225 4 880470827 +592 291 3 882609008 +497 940 2 879362954 +314 410 5 877886706 +207 197 4 875774463 +534 151 4 877807692 +643 419 4 891448002 +600 27 3 888451977 +464 879 4 878354791 +21 262 4 874950931 +476 202 4 883364295 +389 407 1 880614292 +210 153 5 887730297 +592 56 5 882955948 +104 130 1 888465554 +429 275 4 882384603 +387 508 4 886479690 +627 467 5 879530042 +484 823 4 891195506 +468 214 5 875288771 +293 81 4 888906576 +234 863 5 892079689 +530 357 5 883784456 +290 271 3 880473557 +446 301 3 879786838 +270 443 3 876955976 +454 356 1 888267279 +246 741 5 884921533 +598 323 4 886711452 +606 966 5 880923745 +290 229 3 880473557 +174 151 3 886434013 +561 80 2 885810372 +239 659 3 889179808 +14 427 5 890881433 +500 246 5 883865128 +416 1220 3 886318155 +145 328 5 875270006 +54 338 3 880929490 +539 155 4 879788480 +616 355 4 891224881 +466 24 4 890285159 +295 559 4 879518674 +207 1049 3 877878860 +561 708 3 885809447 +141 250 4 884585128 +87 297 3 879877404 +436 218 4 887771123 +642 921 5 885603849 +262 95 3 879793503 +623 642 3 891034472 +102 188 2 888801812 +463 151 4 877385341 +621 197 4 885596884 +378 591 4 880044385 +397 475 4 885350045 +312 837 4 891699426 +618 944 2 891309266 +214 168 3 891544222 +486 237 4 879874629 +1 158 3 878542699 +407 705 4 875116117 +7 440 1 892131978 +211 462 4 879460096 +500 97 4 883874715 +244 527 5 880606155 +532 472 5 893119335 +506 356 3 874874630 +267 720 3 878973946 +532 177 4 888636501 +1 37 2 878543030 +484 568 3 891195417 +478 42 5 889388763 +542 179 4 886532571 +561 645 3 885808767 +573 176 3 885844481 +491 285 5 891185919 +375 302 5 886621795 +642 746 3 885602483 +455 125 3 879109133 +551 780 5 892785431 +615 660 4 879448882 +373 70 4 877099968 +638 194 3 876695774 +60 429 5 883326733 +194 15 4 879539127 +323 293 4 878739299 +110 451 4 886988909 +328 286 5 885044452 +537 491 4 886030584 +64 546 3 889739883 +554 79 5 876550491 +510 288 3 887667545 +450 245 4 892141986 +109 790 2 880580662 +145 354 4 891509877 +635 873 3 878878752 +468 856 4 875302155 +280 80 3 891701998 +279 380 4 889326161 +459 291 4 879563312 +538 168 3 877107408 +234 675 4 892078342 +433 174 5 880585730 +468 160 3 875295148 +569 340 4 879793075 +21 993 4 874951245 +621 72 2 874962900 +23 134 4 874786098 +640 53 4 874778274 +280 1048 4 891701002 +169 258 5 891268552 +606 287 4 880921656 +455 176 3 879111960 +625 96 5 892000372 +397 23 5 885350132 +342 656 5 875319151 +644 100 4 889076775 +237 127 5 879376671 +320 300 4 884748229 +618 196 4 891307889 +474 83 3 887925977 +532 357 5 892519935 +630 476 5 885667108 +353 258 5 891402757 +560 1171 3 879976807 +308 403 4 887738571 +606 1277 3 878148493 +14 32 5 890881485 +195 384 2 874825826 +207 180 3 879665352 +621 4 4 874962988 +435 246 5 884134345 +595 742 2 886921521 +523 189 5 883701800 +312 531 5 891698254 +487 419 3 883530644 +374 1248 3 880938044 +286 1038 5 884583549 +644 748 4 889076222 +11 549 4 891904617 +392 246 5 891038110 +429 1011 4 882387731 +91 31 5 891438875 +446 359 3 879787226 +635 294 3 878878588 +551 334 4 892775970 +406 404 5 884630554 +277 137 3 879543336 +627 956 2 879530463 +13 760 1 882396914 +130 864 2 874953595 +291 427 4 874868304 +297 455 4 874954611 +207 282 4 879577372 +76 56 5 875027739 +628 168 4 880777167 +451 263 2 879012811 +561 202 3 885808867 +177 527 4 880130898 +592 266 1 882607744 +504 385 4 887832571 +261 321 3 890455521 +631 286 3 888465033 +371 452 2 880435634 +457 173 5 882395049 +334 12 5 891547016 +144 423 5 888105714 +592 258 5 882607476 +67 105 4 875379683 +110 1222 2 886989191 +453 158 2 888205937 +497 173 5 878759659 +630 117 5 885666804 +230 91 3 880485043 +538 317 4 877107765 +513 181 5 885062332 +314 36 2 877889103 +627 97 2 879529958 +436 219 5 887770064 +198 200 4 884207239 +457 86 3 882397455 +138 603 4 879024184 +44 423 4 878348111 +567 132 3 882426021 +334 886 4 891544233 +490 515 3 875427224 +608 729 4 880407079 +622 240 3 882590420 +615 294 3 879447613 +529 340 1 882535181 +276 123 4 874786657 +210 732 4 887730676 +21 289 3 874950972 +83 755 5 887665423 +472 541 5 892791017 +579 288 4 880951346 +328 215 3 885046773 +488 385 4 891294014 +151 111 4 879542775 +378 273 4 880044221 +406 87 3 879445809 +450 842 4 882376446 +297 109 4 874954814 +551 354 3 892775752 +417 298 3 879646327 +301 693 5 882076806 +256 323 5 882150193 +481 4 3 885829196 +543 110 2 874865635 +144 251 4 888103929 +499 879 3 885598827 +109 386 1 880579916 +102 373 2 888802508 +506 892 1 888848224 +633 176 3 875325577 +405 585 1 885547447 +497 114 4 879309992 +361 86 4 879440941 +198 433 2 884208326 +215 237 4 891435761 +481 98 4 885828574 +406 52 5 879793235 +599 1095 4 880952316 +566 479 4 881649428 +564 121 4 888730534 +457 554 4 882549682 +303 1218 4 879484350 +543 1619 3 874865635 +286 1075 5 877532385 +328 684 5 885046537 +577 230 3 880474357 +442 276 4 883391027 +430 294 2 877225239 +624 742 4 879793093 +625 258 4 891262561 +454 520 4 881959607 +534 370 4 877808260 +542 204 3 886532762 +428 538 4 885944005 +452 188 4 875560300 +629 58 4 880117215 +232 32 4 888549467 +96 56 5 884403336 +506 140 3 874873327 +452 174 4 875263413 +538 568 3 877107491 +439 273 2 882892675 +417 709 3 879647355 +489 680 5 891445439 +510 1025 3 887667780 +10 513 4 877886598 +303 379 4 879485546 +173 937 4 877557077 +325 628 3 891478772 +200 235 2 884128065 +320 769 3 884751288 +551 56 5 892776450 +83 781 4 883868890 +537 101 2 886031860 +618 77 3 891309720 +506 38 3 885135912 +636 222 5 891449148 +481 1039 4 885828732 +13 850 4 882140318 +369 752 4 889428011 +526 312 2 885682295 +253 222 4 891628548 +193 1074 3 889126453 +405 482 3 885544739 +606 258 4 887058788 +452 286 4 876298932 +385 1462 4 879447555 +409 30 4 881108881 +495 705 4 888634111 +573 632 4 885844007 +385 89 4 879441853 +363 98 3 891495402 +44 89 5 878347315 +293 286 3 888904265 +14 222 4 876965061 +370 50 4 879434707 +483 1 4 878950971 +411 28 4 892845986 +460 258 3 882910637 +589 307 1 883352402 +137 89 5 881433719 +645 748 1 892052039 +521 117 4 884475913 +32 307 2 883709915 +317 288 4 891446190 +607 528 4 883879556 +267 391 3 878973675 +552 1315 3 879222452 +13 747 4 882140624 +551 846 3 892783942 +268 50 5 875309719 +425 358 4 890346630 +250 558 4 878091965 +94 589 5 891720786 +28 117 4 881957002 +522 128 4 876961133 +442 203 3 883391146 +435 89 4 884131489 +642 720 5 885606787 +599 934 3 880953441 +373 180 3 877098678 +387 496 3 886480515 +85 168 4 879454304 +504 5 4 887912462 +387 684 3 886483099 +315 770 3 879821348 +249 191 4 879572167 +497 2 1 879310883 +405 347 4 885544635 +342 1528 3 875318585 +540 126 3 882157105 +638 183 4 876694704 +419 478 5 879435785 +487 174 5 883446404 +466 568 3 890285034 +299 94 1 889503564 +233 95 5 877661496 +344 372 4 884901469 +465 638 3 883531380 +551 1035 2 892778244 +43 312 4 883953502 +642 728 4 886131674 +326 182 2 879876861 +640 941 5 874778095 +435 588 4 884131996 +234 181 3 892079373 +640 173 5 886354270 +401 815 3 891032662 +643 671 4 891446652 +166 243 3 886397827 +283 1079 4 879297526 +58 1006 2 884304865 +344 1014 4 889814600 +407 385 4 875045658 +201 402 2 884140975 +262 52 3 879792331 +363 451 2 891497130 +536 542 1 882364876 +586 578 3 884062621 +22 109 4 878886710 +478 111 3 889397582 +527 543 4 879455740 +293 272 4 888904180 +648 96 5 884368538 +213 521 4 878955474 +184 118 2 889908344 +548 504 5 891044482 +543 381 4 877547580 +13 194 5 882141458 +642 1469 4 886568725 +610 527 4 888703801 +459 264 4 879561755 +445 895 2 891035897 +54 151 2 880936670 +194 640 1 879535548 +385 32 5 879442988 +550 538 5 883425812 +397 197 5 885349825 +379 383 2 881000374 +580 294 4 884124337 +14 288 4 876964936 +553 479 5 879948386 +325 1230 3 891479737 +478 72 1 889397841 +82 511 3 878769948 +151 134 4 879524131 +548 345 1 891042194 +393 108 2 887744658 +542 479 4 886532265 +625 151 3 891999874 +425 219 2 878738956 +458 405 4 886395022 +19 325 4 885412251 +550 310 5 883425627 +595 763 3 886921551 +345 433 4 884992142 +527 317 4 879456405 +622 519 3 882591938 +456 71 3 881374710 +174 31 4 886434566 +534 322 4 877807461 +457 584 4 882548615 +562 727 5 879196267 +111 258 4 891679692 +235 338 1 889654821 +145 650 4 875273120 +632 71 4 879458649 +598 349 4 886711452 +393 109 3 887744419 +427 681 5 879701326 +60 546 4 883326837 +633 526 4 877212250 +197 29 3 891410170 +379 88 4 880525968 +416 748 4 876696687 +468 222 4 875279269 +90 497 5 891384996 +541 452 3 883874518 +642 132 3 885603636 +246 11 4 884922512 +253 1468 3 891628142 +592 1319 1 882608234 +399 288 3 882340200 +95 203 3 879198888 +324 50 5 880575618 +551 291 4 892778337 +472 1228 4 875983270 +127 343 5 884364151 +542 790 3 886533090 +351 748 4 879481613 +633 143 4 877211134 +606 756 3 878146986 +31 1021 3 881548082 +620 678 3 889986642 +62 483 4 879373768 +194 864 2 879539305 +640 38 4 874778612 +457 448 4 882548537 +230 99 3 880485066 +456 172 5 881373019 +145 405 3 875270970 +13 846 2 882141997 +470 284 4 879178884 +542 73 3 886533227 +334 228 5 891547894 +308 678 3 887736408 +630 278 4 885667508 +533 742 4 879192681 +195 1030 2 877835451 +392 324 1 891037720 +445 324 1 891199297 +580 123 4 884125199 +429 290 3 882386333 +497 781 3 879310445 +533 21 3 888239930 +401 235 1 891032474 +635 300 3 878879107 +1 181 5 874965739 +491 1281 3 891186806 +447 158 3 878856262 +630 1040 4 885667660 +194 241 2 879527725 +178 316 4 888513290 +622 196 3 882669695 +72 521 4 880036718 +435 24 4 884133084 +538 213 3 877364067 +298 205 5 884181969 +493 258 5 884129725 +385 653 4 881948265 +60 275 4 883326682 +385 276 3 879440098 +108 319 5 879879662 +533 194 4 879191061 +21 200 5 874951695 +551 658 5 892783559 +246 228 3 884921558 +592 952 4 882608699 +413 270 4 879969027 +585 638 4 891284016 +146 271 3 891457749 +489 286 4 891366571 +421 12 5 892241458 +532 151 5 892519935 +514 405 2 875463386 +503 168 5 880383624 +91 187 5 891438908 +524 679 2 884636746 +620 1035 4 889988232 +497 80 3 879363181 +195 313 5 883688297 +586 470 4 884064631 +462 313 5 886365231 +511 908 4 890004938 +532 914 5 893118711 +627 175 1 879530110 +437 99 4 881001946 +451 989 1 879012857 +500 298 4 890009939 +455 87 3 879110905 +497 288 2 878759351 +6 272 4 883717304 +645 69 4 892053644 +325 16 1 891478981 +74 294 4 888333311 +320 410 4 884748839 +49 217 3 888067405 +429 652 4 882385118 +527 507 5 879455654 +393 72 4 889730045 +426 134 4 879444787 +130 289 5 874953291 +171 906 3 891034684 +474 209 5 887927670 +85 631 4 886282927 +541 1035 3 883874749 +244 393 3 880607365 +561 170 4 885808738 +268 743 1 875743335 +85 180 4 879454820 +207 509 4 877878688 +642 105 5 885606482 +281 310 4 881200264 +361 659 5 879441324 +648 473 3 882211965 +449 748 2 879959273 +59 654 4 888204309 +561 302 4 885806797 +335 300 5 891567029 +535 131 4 879618532 +497 109 4 878759659 +330 168 3 876546439 +526 936 5 885682448 +445 1601 1 891199533 +357 546 5 878951729 +102 218 3 888803002 +308 239 3 887740033 +595 129 3 886921088 +298 393 4 884183099 +123 242 5 879809053 +442 186 4 883388429 +639 488 4 891240160 +286 315 5 889651138 +417 288 3 879647749 +561 1153 3 885808986 +236 866 3 890117223 +292 462 3 881105657 +504 537 3 887910811 +622 120 1 882592643 +429 183 4 882385489 +398 1020 3 875659843 +456 232 2 881374389 +356 1294 4 891405721 +13 430 5 882139495 +346 1228 4 875265825 +401 478 2 891033497 +392 127 5 891038110 +606 64 5 880923579 +49 1021 5 888066647 +450 714 4 882472144 +624 272 5 885215463 +128 70 3 879967341 +474 227 4 887926872 +573 183 3 885844091 +385 473 3 879440584 +189 191 5 893265402 +312 478 5 891698664 +500 742 3 883865290 +634 1008 2 877017951 +536 63 4 882360802 +577 808 3 880475094 +7 234 5 891351041 +429 95 3 882385012 +506 258 4 884517178 +57 42 5 883698324 +479 82 4 879461898 +524 670 4 884637203 +632 25 1 879459418 +648 288 4 882211654 +490 277 3 875428531 +506 878 3 874872812 +330 993 4 876544632 +630 127 2 885666536 +633 288 2 875324233 +473 275 5 878157527 +194 155 3 879550737 +488 83 4 891294530 +234 525 4 892078984 +232 127 3 888550101 +514 651 4 875462901 +456 806 3 881373617 +566 25 2 881651077 +551 825 5 892784049 +175 172 5 877107339 +393 228 3 889728385 +500 44 1 883875862 +244 169 5 880606274 +6 405 1 883600066 +229 344 5 891633028 +588 289 2 890015063 +184 1160 5 889907363 +481 427 4 885828807 +624 952 3 879793129 +592 238 5 882956321 +381 14 5 892696512 +543 185 4 875662979 +638 472 3 876695307 +303 109 4 879467131 +494 427 5 879541112 +642 1033 3 886569278 +525 118 3 881086393 +212 528 5 879303950 +271 494 4 885848770 +634 919 2 877979309 +387 325 2 886484460 +404 901 2 883790585 +83 161 4 887665549 +591 275 4 891039974 +44 260 4 878340905 +603 181 5 891956154 +609 878 1 886895827 +6 166 4 883601426 +62 405 3 879373118 +107 288 3 891264432 +535 44 4 879619035 +198 1244 2 884206659 +36 1026 5 882157581 +437 447 4 880143663 +267 218 4 878972650 +588 699 4 890024385 +254 1050 3 886472609 +405 58 1 885546247 +436 568 5 887769416 +484 257 5 882079956 +427 359 5 879701253 +13 763 1 882141458 +337 831 1 875236281 +276 47 4 874787407 +454 649 2 888267279 +160 192 5 876861185 +639 306 4 891238550 +18 134 5 880129877 +457 89 5 882397058 +234 531 3 892078984 +21 561 1 874951761 +7 403 4 891351234 +542 209 4 886532762 +300 288 4 875649995 +459 546 1 879563367 +600 228 3 888451840 +90 1134 3 891385752 +534 325 4 877807461 +385 131 4 879445754 +144 1226 4 888104737 +18 969 3 880131106 +531 312 5 887048899 +130 24 5 874953866 +642 1415 4 886569783 +595 597 2 886921634 +311 1041 3 884366334 +634 286 5 877018125 +603 748 5 891956302 +592 273 5 882607986 +324 289 5 880575163 +551 268 4 892775516 +550 304 3 883425743 +249 56 5 879572189 +389 191 5 880087493 +10 529 3 877892438 +577 655 4 880474394 +393 721 2 889727930 +56 97 3 892677186 +532 526 5 893119415 +556 64 5 882136162 +506 47 4 874876486 +600 226 4 888451977 +145 979 3 879161882 +621 559 5 874964915 +385 525 4 879444685 +412 64 4 879717505 +320 235 3 884748929 +585 224 2 891283681 +489 989 3 891446201 +634 124 3 875728913 +405 149 1 885549746 +280 79 4 891700453 +545 689 4 879898362 +534 742 5 877807653 +13 355 3 888688733 +269 365 2 891448738 +431 689 3 881127786 +450 4 3 882373865 +532 419 5 888635366 +16 1 5 877717833 +93 151 1 888705360 +621 293 3 880227385 +617 134 3 883788900 +146 319 4 891457538 +405 75 2 885546069 +297 230 2 875238814 +443 286 5 883504521 +588 316 5 890015021 +387 715 5 886484157 +99 117 5 885678784 +221 178 4 875245989 +374 1210 4 880938100 +221 181 4 875244087 +82 21 1 884714456 +634 221 1 875729105 +391 491 3 877398898 +226 652 3 883889012 +647 554 4 876533810 +479 189 2 879461298 +644 300 5 889075967 +206 343 1 888179788 +595 368 1 886921977 +207 70 3 875506737 +606 760 3 880923349 +588 652 2 890026339 +507 1089 5 889966088 +470 100 4 879178370 +187 69 4 879465566 +466 127 3 890284766 +585 1018 2 891286059 +26 121 3 891377540 +542 684 4 886532238 +151 965 5 879524849 +422 98 5 879744014 +494 1197 3 879541405 +399 551 1 882349022 +605 174 3 879424743 +327 204 4 887818658 +621 231 4 874964375 +246 576 1 884923864 +542 818 4 886533112 +536 139 4 882361317 +563 254 3 880506963 +223 284 2 891549683 +313 495 2 891016280 +498 483 3 881957625 +642 768 4 885606609 +380 152 2 885478312 +499 516 4 885599572 +271 648 4 885848770 +334 318 4 891545926 +493 273 4 884131717 +621 67 4 880739654 +374 554 2 880938370 +403 597 2 879786747 +416 662 4 876699994 +621 208 4 874962824 +335 342 2 891566976 +109 98 4 880572755 +151 632 4 879528779 +617 217 1 883789507 +346 276 1 874950029 +280 678 2 891700124 +650 630 5 891371061 +393 270 5 887742040 +592 689 2 882607690 +514 14 3 875318331 +537 182 4 886030862 +296 1160 4 884196964 +251 45 5 886271855 +184 845 3 889907971 +189 83 4 893265624 +308 367 4 887738571 +625 428 5 891953755 +553 641 4 879948386 +448 1176 2 891887393 +85 751 3 884820157 +590 126 5 879439316 +422 551 2 879744218 +450 302 5 882215617 +588 278 5 890027600 +644 823 4 889076997 +478 743 1 889388534 +262 443 3 879792027 +622 521 5 882670009 +626 324 4 878771281 +21 981 2 874951382 +378 528 5 880056034 +201 222 3 884112201 +435 176 5 884131627 +277 508 4 879543487 +612 9 3 875324876 +160 168 4 876858091 +487 300 5 883441026 +618 282 3 891307289 +587 873 3 892871284 +303 801 1 879543679 +593 66 5 875671807 +176 927 3 886048305 +642 210 5 885842610 +537 259 1 886029116 +458 192 4 886396240 +342 482 5 875318936 +319 259 2 889816172 +328 752 2 888641528 +144 70 4 888105587 +151 952 3 879528729 +642 135 3 886131953 +498 275 3 881955348 +198 265 3 884207206 +198 1245 4 884205317 +330 257 5 876544609 +311 530 3 884365201 +552 1620 3 879222071 +604 234 5 883668097 +276 274 3 874791960 +566 157 5 881649985 +63 302 3 875746809 +452 432 2 875264432 +296 282 4 884196712 +606 746 5 880925394 +459 148 5 879563367 +276 201 5 889174849 +194 483 4 879520916 +106 275 4 883877219 +495 288 4 888633165 +500 1018 3 883875756 +76 1019 3 879576256 +493 56 4 884130911 +525 595 2 881086803 +624 886 4 879792251 +429 91 3 882386260 +576 237 4 886985003 +508 1135 3 883777382 +2 273 4 888551647 +154 945 3 879138713 +363 682 1 891493634 +618 392 3 891308979 +231 471 5 888605273 +104 311 1 888442112 +639 58 3 891239296 +94 54 4 891722432 +239 428 5 889180978 +264 478 5 886122194 +650 517 3 891382033 +479 324 1 879459611 +118 210 5 875384825 +455 89 3 879111616 +457 470 5 882398204 +566 186 3 881649893 +13 286 3 881514683 +648 298 2 884884466 +436 216 4 887770064 +368 561 2 889783617 +592 1 4 882608021 +519 878 5 884545961 +284 690 3 885329468 +487 684 5 883446543 +622 105 3 882591726 +13 867 5 882399615 +521 11 4 884477993 +532 689 4 880484527 +151 14 5 879524325 +561 45 3 885808716 +417 24 3 879646531 +454 454 3 881959745 +405 356 5 885545912 +599 928 4 880953441 +301 702 4 882077784 +308 32 5 887737432 +387 515 5 886480755 +501 456 3 883348610 +271 845 1 885847800 +543 737 3 874866535 +556 288 4 882135646 +18 238 5 880132437 +643 154 4 891447286 +406 639 4 879793295 +450 121 3 882395537 +216 201 3 880235734 +561 14 3 885808929 +445 742 1 891200078 +601 290 3 876350501 +625 692 3 892000518 +637 829 2 882905070 +201 118 1 884310148 +406 712 3 880132091 +189 485 4 893265710 +561 1110 2 885809524 +577 1531 4 880475408 +474 963 5 887926105 +256 1046 4 882164927 +72 792 3 880036718 +334 902 4 891550520 +591 934 3 891039769 +421 100 4 892241422 +648 674 3 884883476 +135 260 3 879857575 +413 877 3 879969100 +394 391 4 881058330 +286 139 3 889653012 +305 315 5 886308168 +222 826 2 883816093 +271 190 4 885848707 +375 770 3 886622131 +13 413 1 882396984 +514 729 4 886189841 +561 715 3 885809606 +44 196 4 878348885 +313 892 4 891013059 +393 40 1 889729185 +543 28 4 875663543 +535 469 3 879618464 +559 210 4 891034957 +280 527 5 891700768 +638 50 4 876694704 +405 810 1 885548094 +344 708 4 884901561 +158 742 4 880134261 +633 778 2 877211886 +11 98 2 891905783 +57 472 1 883697253 +318 403 2 884496759 +487 111 3 883444558 +363 172 5 891495711 +94 518 5 891720950 +632 202 4 879457712 +532 601 3 888629518 +601 140 1 876351298 +378 787 3 880332480 +537 399 2 886032246 +497 651 4 879310762 +615 640 3 879448182 +142 514 5 888640317 +144 262 3 888103444 +552 7 3 879221580 +563 50 5 880507404 +198 185 3 884209264 +358 1021 5 891269464 +314 405 4 877886522 +3 322 3 889237269 +214 169 4 891544175 +551 527 5 892777123 +532 658 5 893119335 +647 748 4 876532501 +314 56 1 877887568 +59 1115 3 888203128 +450 430 4 882377590 +230 628 3 880485421 +437 212 3 880141402 +396 222 5 884646152 +643 229 3 891449640 +539 197 5 879787985 +551 98 5 892776524 +592 262 5 882607356 +622 194 4 882669762 +179 340 4 892151064 +618 79 5 891307494 +568 1203 5 877907281 +481 197 3 885828773 +535 514 5 879617531 +488 11 1 891294158 +650 514 3 891371020 +474 789 4 887927152 +651 292 2 879348881 +589 271 3 883352654 +554 252 4 876232528 +1 136 3 876893206 +481 153 5 885828165 +604 185 2 883668175 +592 272 5 882955387 +545 215 3 884133881 +487 956 4 883530702 +521 380 3 884478483 +648 304 5 884363798 +144 466 2 888105823 +497 526 3 879362478 +548 315 3 891415258 +308 11 5 887737837 +5 371 1 875720967 +178 50 5 882823857 +588 496 3 890023879 +378 234 4 880045652 +592 61 4 882956586 +627 300 4 879529486 +264 1474 2 886123728 +346 597 3 875003052 +181 844 1 878962816 +345 79 4 884992291 +81 237 4 876533764 +587 312 2 892871563 +422 665 5 879744143 +210 514 5 887730532 +543 71 4 874864870 +472 66 5 875981158 +543 748 3 876110379 +551 1079 1 892785431 +537 553 2 886032123 +592 32 5 882956067 +579 1047 3 880952579 +394 226 2 880888850 +92 1211 3 876175395 +501 313 3 883346623 +618 210 3 891308703 +561 98 4 885807393 +7 578 3 891354090 +363 1101 3 891495004 +210 15 4 887737710 +94 191 5 885870175 +136 744 5 882693569 +13 769 3 882397040 +405 603 3 885548578 +457 747 4 882397787 +399 237 3 882510490 +254 622 4 887347350 +62 357 4 879374706 +501 257 4 883348114 +393 824 3 889731793 +397 435 4 885349376 +243 708 3 879988520 +551 912 3 892775723 +1 257 4 874965954 +70 411 3 884066399 +311 509 3 884366590 +334 553 1 891548866 +457 655 5 882397879 +642 443 2 885603870 +210 392 3 887736017 +308 21 3 887740729 +634 150 3 875728834 +498 202 3 881958897 +18 627 3 880131931 +534 687 5 877807486 +393 273 3 889727768 +308 117 3 887738620 +503 640 1 880383201 +334 303 4 891544077 +567 181 1 882426246 +394 540 4 881058330 +188 22 5 875072459 +253 482 5 891628451 +128 770 3 879968008 +592 330 3 882607606 +618 50 5 891307175 +406 520 4 879445735 +568 1005 1 877907877 +628 302 5 880776981 +543 165 4 874863436 +639 170 4 891239790 +207 748 3 877750478 +523 8 5 883702125 +413 15 4 879969709 +398 87 4 875716709 +178 319 1 884836946 +234 290 3 892333980 +572 1171 3 879449734 +532 929 3 874791786 +354 59 5 891218208 +406 517 2 880131550 +373 275 5 877098437 +599 988 4 880951211 +73 213 4 888625753 +416 538 4 885114408 +180 12 2 877355568 +595 291 3 886921656 +560 1008 3 879976731 +479 241 3 879461800 +457 453 2 882551854 +417 402 4 879648656 +324 282 5 880575619 +612 924 5 875324710 +443 678 2 883504818 +279 760 3 875297522 +312 1451 4 891699156 +235 318 5 889654971 +305 664 2 886324462 +354 190 4 891217221 +99 367 4 886519075 +291 940 3 875086608 +549 288 4 881672605 +470 118 4 879178645 +449 61 5 880410700 +472 771 4 875983427 +472 384 3 875982051 +303 692 4 879468123 +317 879 3 891446575 +256 356 3 882164927 +194 174 4 879520916 +632 28 3 879458649 +466 344 5 890284231 +506 930 1 877984514 +474 513 5 887924571 +608 58 2 880406800 +472 228 5 875979910 +491 236 4 891185919 +606 33 4 880928180 +496 554 2 876070997 +566 856 5 881650690 +437 137 5 880140221 +479 197 4 879461102 +235 86 4 889656113 +496 89 5 876072633 +639 487 5 891240566 +496 418 3 876066848 +109 584 2 880581127 +297 243 1 878771163 +532 1226 4 893015131 +144 48 5 888105197 +234 613 4 892079434 +503 205 4 880472344 +43 588 4 883955745 +489 315 5 891448389 +264 603 5 886122508 +637 831 1 882904961 +213 463 5 878956000 +569 475 3 879793717 +472 90 5 892791063 +591 88 3 891031525 +303 98 5 879466572 +577 168 5 880472124 +606 288 4 877641931 +416 1132 2 876697913 +276 281 3 874787065 +222 929 1 881061213 +551 234 4 892777092 +570 302 4 881262145 +16 946 5 877724727 +452 781 3 888568714 +76 514 4 882129456 +295 69 5 879517911 +456 452 2 881375515 +256 451 4 882165135 +416 24 5 893212730 +629 9 4 880117485 +110 684 4 886988480 +514 510 3 886190480 +385 135 3 879444991 +594 14 4 874781173 +207 631 2 877847187 +621 576 2 874964605 +234 389 3 892335309 +630 871 2 885666918 +500 708 5 883873999 +542 655 4 886532908 +627 162 3 879530568 +395 97 5 883763800 +405 1222 1 885548049 +417 186 5 879647118 +435 167 3 884133224 +401 651 4 891032919 +300 300 4 875649995 +608 1119 5 880406552 +123 514 5 879872193 +505 553 4 889333937 +567 478 5 882426079 +523 72 4 883702351 +621 301 4 880226534 +295 228 4 879518414 +373 1228 2 877107379 +533 23 3 879191770 +503 318 5 880383679 +627 581 3 879530662 +593 501 2 886193661 +264 746 3 886123358 +110 421 4 886988873 +134 326 5 891732296 +326 219 2 879877349 +26 50 4 891386368 +455 71 3 879112098 +271 168 2 885848343 +279 558 4 875307210 +296 1284 4 884196765 +481 190 5 885828732 +619 62 1 885954185 +639 462 5 891239838 +545 208 3 879899619 +462 310 5 886365197 +541 15 3 883864806 +449 59 5 880410599 +435 924 3 884132072 +472 73 4 875981317 +269 173 1 891449429 +286 210 5 877535208 +463 270 3 889936535 +397 423 5 885349999 +194 380 1 879535549 +639 659 3 891240111 +548 327 3 891042794 +447 597 3 878855021 +642 97 4 885602418 +500 88 4 883875926 +363 174 4 891495109 +454 497 3 881959876 +479 70 4 879461630 +332 105 2 887938631 +479 185 4 879461604 +524 97 5 884636583 +622 693 4 882592383 +279 166 4 879572893 +526 1 5 885682562 +559 527 4 891034172 +137 748 4 881432626 +464 286 3 878354626 +342 208 4 874984430 +551 222 5 892783411 +234 88 3 892335920 +645 179 5 892054600 +97 82 4 884239552 +246 178 5 884920918 +334 484 5 891545793 +214 8 4 892668196 +534 825 4 877808281 +345 44 3 884992770 +554 174 5 876550257 +6 194 4 883601365 +601 740 4 876347196 +346 363 3 874951062 +433 474 3 880585759 +643 1101 3 891448002 +436 762 4 887771722 +295 213 5 879517324 +479 398 1 889125474 +110 689 3 886987584 +327 271 3 887743644 +543 186 3 877550660 +425 289 1 878737635 +597 298 5 875339723 +69 294 2 882027233 +409 461 3 881108364 +462 315 4 886365837 +450 1425 4 882471737 +185 25 4 883525206 +548 7 5 891044304 +234 313 4 891033261 +534 986 5 877808319 +519 748 2 883248307 +13 32 4 882140286 +642 1023 3 885842351 +207 185 4 875509832 +274 300 5 878944464 +210 393 3 891035904 +303 1145 2 879544219 +561 135 4 885809336 +452 479 5 885544109 +545 404 4 884133839 +642 133 5 886206274 +374 218 4 880396444 +442 635 4 883389380 +429 2 3 882387599 +642 50 5 885604280 +226 813 4 883890235 +644 294 4 889076095 +95 290 3 879193973 +144 327 3 888103444 +160 151 4 876769097 +318 193 3 884496367 +396 455 2 884646582 +295 196 5 879966498 +417 513 5 879647580 +13 204 5 882140318 +586 229 3 884062742 +381 121 2 892696793 +130 895 5 884623799 +194 81 2 879523576 +592 334 3 882607476 +618 378 4 891309514 +174 69 5 886514201 +341 682 3 890757961 +373 417 3 877099092 +654 4 4 887864830 +52 527 5 882922927 +595 1009 4 886921584 +76 1155 2 882607017 +414 301 3 884999128 +500 639 4 883875195 +622 168 4 882592041 +170 322 5 884103801 +537 301 2 886028647 +514 631 4 875463386 +643 546 3 891445660 +455 40 3 879111662 +527 517 5 879456186 +160 153 3 876860808 +504 318 5 887832593 +601 482 4 876350142 +394 416 5 880889350 +632 419 4 879457903 +102 72 3 888803602 +112 937 4 884992801 +321 212 3 879440342 +551 174 4 892776650 +545 55 3 879899233 +543 88 4 877550535 +161 100 4 891171127 +393 347 4 887742040 +76 172 5 882606080 +520 242 5 885168819 +315 645 4 879821065 +643 1149 3 891447835 +395 240 1 886481149 +605 754 3 879425457 +487 823 1 883445302 +470 508 5 879178932 +488 64 5 891294529 +476 367 3 883364475 +368 184 5 889783453 +536 1118 2 882360776 +328 315 4 885044782 +90 905 4 891383319 +81 619 3 876534009 +184 1061 3 889908264 +331 221 4 877196308 +493 59 5 884132315 +458 245 2 889324066 +244 763 4 880604830 +437 753 4 880140927 +21 7 5 874951292 +495 479 4 888632574 +178 155 4 882828021 +537 744 3 886030380 +360 64 5 880355485 +63 286 4 875746809 +634 596 3 875729105 +394 739 4 880889766 +551 240 3 892784673 +265 327 3 875320052 +639 709 3 891239581 +94 800 3 891723296 +279 1242 1 888797284 +118 800 4 875385280 +621 117 5 880227268 +363 206 2 891496587 +653 164 3 878854633 +529 1038 4 882535304 +541 225 4 885595846 +618 705 3 891307825 +13 5 1 882396869 +527 479 4 879455707 +277 293 4 879544145 +588 288 4 890014818 +286 132 5 877531791 +535 269 4 879617063 +316 69 3 880853881 +213 182 4 878955766 +267 180 5 878971690 +363 597 4 891498286 +293 159 3 888907674 +592 168 5 882955825 +308 49 3 887740833 +500 62 3 883876690 +514 109 3 876067235 +548 12 5 891044356 +290 252 3 880732575 +64 434 4 889739052 +146 331 5 891458193 +299 1226 2 877878602 +348 1060 3 886523621 +474 1016 3 887915567 +639 553 3 891240868 +368 292 4 889783251 +642 151 3 886568791 +620 625 3 889988005 +21 5 2 874951761 +191 339 3 891562090 +497 510 3 879362496 +543 187 4 874866535 +488 133 4 891294606 +66 237 4 883601355 +348 123 5 886523361 +276 9 5 889174849 +280 755 2 891701278 +565 10 5 891037453 +217 562 3 889070211 +65 15 5 879217138 +122 1044 5 879270923 +644 257 5 889077278 +521 258 4 884475503 +566 98 4 881649445 +604 413 3 883668175 +648 586 3 884883149 +653 573 1 880152843 +504 1522 3 887840942 +43 781 3 883956494 +580 281 2 884126077 +305 42 4 886324172 +401 97 4 891033582 +6 514 5 883600657 +588 1508 3 890029795 +71 282 3 885016990 +542 230 4 886533774 +606 22 5 880927357 +630 25 2 885666779 +456 922 4 881371595 +545 71 5 879901459 +559 528 4 891034209 +326 393 4 879876327 +637 595 3 882904537 +380 12 5 885478218 +497 95 4 879309993 +539 481 4 879788572 +561 241 2 885809119 +591 72 3 891040366 +406 665 3 879792928 +535 971 2 879618569 +619 241 5 885954083 +178 184 5 882827947 +650 843 2 891388266 +130 342 3 881076199 +94 219 4 891721528 +125 427 4 879454277 +493 7 3 884130372 +378 926 1 880318158 +293 65 3 888906945 +653 402 1 880151488 +465 478 4 883531246 +405 567 2 885548474 +567 617 4 882425843 +606 7 4 878143509 +385 745 4 879443352 +144 500 4 888105419 +592 319 4 882607434 +87 546 3 879876074 +90 863 4 891384114 +320 385 4 884749327 +125 300 5 892835836 +374 98 5 880394929 +585 1158 4 891282573 +378 294 2 880043804 +118 960 5 875385136 +422 436 3 879744085 +533 97 2 879438666 +532 353 2 886364951 +539 527 4 879788136 +561 93 4 885809224 +495 184 5 888633086 +533 313 5 884007337 +636 596 5 891449212 +388 259 3 886440334 +559 427 4 891034095 +474 435 5 887926573 +592 179 5 882956761 +555 326 4 879962096 +634 823 3 877017923 +159 195 3 884360539 +320 121 5 884748733 +119 986 3 874781068 +542 100 4 886532432 +363 171 5 891495849 +444 275 4 891979402 +110 376 2 886989340 +623 204 5 891035112 +553 603 5 879948695 +637 280 2 882904679 +104 345 4 888442171 +59 618 4 888205956 +389 616 4 879991329 +246 798 2 884924001 +561 959 3 885810060 +622 367 4 882670712 +653 444 1 880153329 +551 183 4 892776824 +592 345 4 888553233 +328 8 3 885047018 +458 1338 3 886395393 +437 281 1 881001148 +36 878 5 882157581 +407 423 4 876340001 +409 633 4 881108126 +555 271 3 879961963 +591 921 4 891031257 +13 332 3 881515457 +487 133 4 883530865 +415 323 2 879439205 +497 108 3 879309760 +391 421 2 877399269 +569 237 4 879793717 +465 319 3 883529372 +448 887 2 891888042 +450 686 4 882473826 +422 1007 4 875129839 +601 584 4 876350142 +587 343 4 892871337 +601 418 2 876350766 +181 326 1 878961709 +201 567 3 884112673 +592 28 4 882956586 +94 585 3 891723494 +13 737 4 882399615 +279 751 4 882593314 +151 1299 4 879543423 +230 420 5 880485726 +533 210 5 879191401 +465 475 3 883530313 +463 117 3 877385731 +533 1033 4 879192702 +618 549 2 891308342 +523 204 5 883702171 +500 181 3 883865462 +478 168 4 889388697 +187 736 4 879465632 +537 549 2 886031965 +413 269 4 879968793 +144 343 2 888103725 +560 975 3 879977081 +630 222 4 885666779 +14 628 5 880929697 +588 451 5 890026059 +532 197 5 889235367 +650 747 3 891384202 +514 735 4 875462764 +600 265 3 888451582 +551 12 4 892776419 +544 258 3 884795135 +286 749 3 889651060 +638 410 4 876695774 +334 176 3 891547040 +507 352 1 889964274 +622 72 3 882671142 +493 264 3 884129923 +193 343 1 889123777 +629 528 5 880117395 +405 536 1 885549746 +468 1014 3 875280539 +474 642 4 887927152 +343 3 4 876406256 +592 169 5 882955663 +450 775 4 882469432 +573 1012 2 885844339 +285 205 4 890595900 +255 264 2 883215829 +23 204 3 874786122 +588 428 4 890024730 +235 1193 4 889655232 +313 121 4 891015114 +363 56 5 891495301 +653 50 5 878854100 +92 1046 3 875812841 +346 168 4 874948252 +90 286 5 891382267 +625 602 3 891263057 +412 340 4 879716637 +627 157 4 879530110 +7 436 5 891351471 +654 423 4 887864432 +428 350 4 885944005 +343 283 4 876403212 +642 375 1 886131744 +399 926 2 882348850 +593 597 2 875660347 +151 661 4 879524419 +180 98 5 877544444 +10 664 4 877886911 +416 185 4 876699101 +488 111 4 891294785 +567 176 5 882425874 +417 97 4 879647326 +314 783 3 877888855 +332 210 5 887938981 +301 150 4 882074345 +279 425 4 875306430 +22 523 5 878886845 +409 631 3 881108077 +629 1109 4 880117813 +492 83 4 879969644 +334 855 3 891547513 +642 258 3 885601865 +1 237 2 875071749 +634 979 3 875729710 +405 57 1 885546577 +361 178 5 879441462 +269 192 4 891447979 +507 879 5 889964706 +549 225 3 881672804 +416 396 2 886318587 +653 1044 1 880153304 +535 435 5 879618246 +642 72 4 885843087 +609 901 1 886895886 +277 7 2 879543377 +354 50 4 891216498 +532 926 3 888630146 +409 618 4 881107011 +642 468 3 886568479 +466 62 3 890285159 +439 246 4 882892755 +405 379 1 885548475 +627 649 4 879530071 +405 1474 1 885547645 +222 225 1 877563353 +102 386 2 892993735 +618 143 4 891308515 +109 72 5 880577892 +312 515 5 891699677 +303 871 1 879485685 +181 919 1 878962550 +15 935 3 879455710 +213 483 5 878955848 +452 170 4 875261261 +393 4 4 889555384 +48 136 4 879434689 +130 65 4 875216786 +560 1333 3 879976071 +608 478 3 880403606 +353 245 4 891402405 +137 1117 2 881433435 +500 405 4 883865567 +327 26 3 887747299 +648 188 5 884882664 +210 235 3 887730842 +307 1 5 878066938 +435 684 4 884131356 +325 650 3 891478079 +130 763 5 874953728 +536 318 5 882359431 +524 469 4 884636416 +311 700 3 884365852 +450 312 4 882812205 +655 274 3 888474872 +333 168 4 891045496 +561 258 2 885806823 +104 307 2 888442249 +592 652 4 882956467 +326 216 2 879876235 +631 346 4 888465004 +555 147 4 879962172 +592 533 4 882608827 +531 358 1 887049187 +267 156 5 878971599 +293 203 3 888906781 +546 717 5 885141162 +611 303 3 891636073 +301 763 4 882074665 +450 205 4 882373531 +436 595 5 887770731 +108 255 2 879880094 +214 89 4 892668249 +344 1 3 884899372 +632 58 3 879459210 +592 137 5 882608145 +60 50 5 883326566 +327 403 3 887820384 +366 234 1 888857750 +334 634 4 891547513 +60 799 4 883326995 +269 403 1 891448522 +620 563 5 889987682 +567 504 4 882425874 +30 315 4 885941412 +493 181 5 884130308 +436 723 3 887771853 +456 672 1 881374849 +582 288 3 882960396 +141 126 5 884585642 +621 1012 5 880227233 +367 333 4 876689501 +537 1197 3 886029889 +145 123 4 879161848 +394 63 4 881059464 +271 580 2 885849386 +537 1069 2 886030938 +157 515 5 874813477 +557 1070 2 884357600 +461 347 4 885355679 +363 511 4 891495850 +596 288 4 883538847 +255 343 2 883215867 +271 282 2 885847666 +22 21 4 878886750 +455 678 3 878585344 +18 736 4 880131028 +136 525 5 882848925 +417 923 3 879647065 +276 1118 4 874791830 +66 295 3 883601456 +6 177 4 883600818 +532 1221 5 874788957 +99 763 5 885679138 +417 62 3 879648939 +385 664 3 879445335 +114 659 4 881259495 +622 66 3 882670480 +327 201 5 887820828 +247 259 3 893081411 +299 171 4 877880961 +406 919 2 879446684 +648 105 3 882212560 +384 300 4 891273809 +234 224 4 892334107 +62 199 4 879373692 +622 364 1 882672922 +601 21 3 876347113 +622 373 1 882672922 +454 1190 3 881959437 +447 153 4 878855756 +239 511 5 889178798 +256 282 3 882151017 +551 1376 1 892784524 +405 712 1 885547506 +488 496 4 891294246 +592 833 4 882608662 +647 326 3 876532517 +561 273 5 885808824 +332 651 5 888098060 +234 505 4 892333798 +181 883 1 878961847 +323 319 2 878738827 +416 209 5 893214332 +579 49 3 880952360 +178 809 4 882827084 +357 111 5 878951784 +496 33 4 876067108 +305 171 5 886323237 +525 111 4 881086051 +545 993 2 879898802 +470 248 3 879189434 +271 62 2 885849386 +617 89 4 883789294 +456 475 5 881372366 +600 403 3 888451908 +276 523 4 874787496 +200 496 5 884128904 +618 150 2 891308175 +400 294 3 885676411 +653 272 4 893275949 +561 228 3 885807930 +490 286 2 875427021 +69 237 3 882072920 +592 59 4 882956718 +385 187 4 879441728 +505 423 4 889333711 +449 100 5 879958664 +405 1225 1 885547176 +551 827 5 892784710 +592 64 5 882956039 +495 770 3 888635339 +194 580 4 879525876 +586 82 2 884062010 +587 300 4 892871171 +552 222 4 879221764 +130 527 5 875801447 +535 639 4 879618019 +234 175 2 892079076 +200 48 2 884129029 +9 402 4 886959343 +556 1065 4 882136162 +468 173 5 875295093 +561 461 3 885807369 +435 121 3 884133284 +600 210 4 888451665 +311 702 3 884365284 +225 604 5 879540778 +271 4 5 885849357 +503 38 3 879454977 +488 183 4 891293698 +435 546 4 884132942 +505 237 3 889333711 +430 165 4 877226130 +429 118 3 882386145 +650 552 4 891370031 +606 421 4 880923989 +655 126 2 887426732 +627 549 3 879530625 +314 1016 4 877886483 +378 1531 4 880056423 +651 306 5 880126473 +89 202 3 879459859 +503 558 5 880383098 +554 223 3 876232996 +536 54 2 882364876 +99 25 3 885679025 +193 294 1 889123777 +547 258 4 891282596 +642 501 2 885603740 +595 15 4 886921423 +221 346 5 885081300 +585 1535 4 891284816 +244 222 2 880604379 +642 966 5 886569140 +154 642 3 879138910 +495 195 5 888633396 +154 61 4 879138657 +648 154 5 884881621 +592 432 1 882956321 +128 478 5 879966840 +168 291 4 884287668 +347 245 5 881652230 +44 99 4 878348812 +493 117 5 884130416 +533 91 2 879190991 +601 1615 4 876348107 +627 720 2 879531397 +585 207 5 891284016 +488 211 4 891294158 +159 255 3 885501660 +574 245 5 891279362 +330 195 3 876546694 +539 58 3 879788195 +527 531 3 879456077 +638 127 2 876694861 +483 197 3 878953815 +174 340 5 886432749 +650 1474 3 891385288 +365 473 4 891304106 +437 154 4 880141129 +630 12 4 885667854 +621 151 5 880737929 +524 1204 3 884635225 +653 566 5 878854190 +234 1039 3 892078741 +321 604 5 879438651 +380 502 1 885480530 +505 133 5 889334189 +518 117 5 876823804 +105 302 5 889214193 +591 235 3 891039676 +503 186 5 880472061 +244 317 5 880602083 +125 201 3 879455019 +119 685 4 886177048 +387 619 1 886481073 +610 1558 3 888703475 +345 234 4 884991831 +286 174 4 877531537 +11 731 4 891904789 +497 72 3 879362835 +222 578 3 881060281 +475 315 4 891452177 +405 1583 1 885549543 +380 663 4 885478799 +504 323 4 887831274 +207 471 3 875509715 +621 300 3 890517589 +2 10 2 888551853 +342 135 3 874984395 +511 322 3 890005102 +607 847 4 883879638 +608 1124 4 880404846 +396 717 3 884646467 +575 194 4 878148087 +458 14 5 886394576 +41 516 5 890687242 +406 131 2 884630617 +640 385 5 874778569 +449 310 3 880410951 +190 310 4 891033607 +389 1098 4 880087096 +655 693 3 888984506 +436 186 3 887769801 +81 289 3 876533229 +655 1403 3 888813372 +181 1355 1 878963086 +643 189 4 891447093 +161 496 3 891171734 +455 100 4 878585826 +502 893 2 883702867 +601 127 4 876346810 +298 143 5 884182966 +638 161 4 876695307 +378 282 4 880044454 +13 403 2 882397271 +654 258 4 887863436 +593 100 5 875658824 +454 73 3 888267521 +378 1063 4 880046100 +553 111 4 879948869 +536 83 5 882359307 +379 563 2 880962106 +518 471 3 876822873 +7 527 5 891351772 +486 595 2 879875408 +592 823 1 882609009 +60 211 4 883327493 +450 81 4 882376188 +239 174 4 889179131 +545 739 4 884134780 +303 1153 3 879484899 +379 842 4 880525794 +108 284 3 879879911 +445 1010 1 891200506 +405 577 3 885547557 +542 588 4 886533562 +654 318 5 887864230 +480 603 4 891208239 +155 288 3 879370860 +339 199 5 891032576 +399 1086 3 882340827 +22 1002 1 878887186 +293 1048 3 888905034 +654 250 1 887863557 +429 475 4 882384579 +346 11 4 874948174 +49 270 2 888065432 +552 274 3 879222162 +217 300 4 889069555 +428 338 4 885943818 +627 704 4 879530967 +592 782 2 882956510 +483 230 5 878953592 +79 333 2 891271086 +297 347 3 885922424 +425 452 2 878738956 +621 249 5 880738282 +640 204 5 874777974 +43 1052 1 892350297 +14 124 5 876964936 +109 928 3 880572134 +369 268 5 889428642 +474 275 3 887915269 +548 117 4 891415384 +561 219 1 885809583 +637 363 2 882904148 +655 198 4 887428871 +620 148 3 889987299 +495 843 3 888637385 +524 181 3 884634731 +536 132 4 882359962 +545 135 4 884134060 +429 484 5 882384920 +416 419 4 892441448 +311 101 4 884366397 +311 684 4 884365075 +527 176 2 879455740 +58 12 5 884304895 +483 450 4 878953593 +639 166 3 891239838 +566 405 5 881650943 +125 751 5 892835624 +121 83 4 891388210 +592 820 3 882609057 +648 194 5 882213535 +409 482 4 881168712 +497 185 3 879361802 +555 269 5 879962096 +474 499 5 887924683 +312 207 5 891699121 +583 198 4 879384404 +462 288 5 886365260 +128 483 5 879966785 +456 346 5 887165765 +291 235 2 874805860 +455 518 4 879111318 +457 137 5 882393278 +403 370 3 879790344 +495 1118 5 888632888 +487 206 4 883531003 +246 204 3 884921638 +405 1053 5 885545456 +468 56 5 875286450 +234 177 3 892079040 +455 628 4 879109692 +501 288 4 883346694 +566 213 5 881649670 +308 531 4 887738057 +632 96 5 879457902 +495 145 4 888637147 +489 308 4 891447653 +620 281 5 889987852 +454 873 2 881958782 +551 479 3 892776380 +83 70 4 880308256 +548 532 4 891043910 +629 187 5 880117031 +448 902 4 891888779 +655 670 3 887430142 +308 65 3 887738301 +251 248 4 886272223 +213 192 5 878955474 +362 689 5 885019504 +486 111 4 879874693 +530 56 3 886202320 +632 159 3 879459460 +130 465 5 875801596 +264 1475 2 886123596 +268 151 3 875742470 +532 148 5 888817717 +407 648 3 875552647 +644 50 4 889077247 +16 58 4 877720118 +119 917 4 892564349 +95 207 5 880571164 +73 152 3 888626496 +354 135 3 891218230 +472 185 5 875980081 +402 475 3 876266741 +200 161 4 884128979 +579 183 4 880952038 +491 258 4 891189815 +642 596 5 885604113 +407 447 3 876338249 +343 449 5 876407138 +216 237 5 880232752 +496 50 5 876072633 +466 306 5 890284231 +534 820 3 877808340 +293 715 3 888907674 +433 303 4 880585068 +52 463 5 882922927 +592 236 3 882608061 +218 659 4 877488366 +501 124 4 883347919 +446 327 2 879787858 +530 163 3 886202320 +487 1019 5 883447117 +643 56 5 891446791 +312 526 5 891698334 +561 890 1 885807080 +328 449 3 885049607 +59 657 4 888204597 +560 597 2 879976914 +567 506 5 882425701 +319 751 3 889816136 +586 210 4 884059027 +481 678 3 885828016 +488 258 4 891293606 +307 739 2 877122317 +374 449 4 880938044 +99 591 4 885678840 +450 1286 3 882377479 +218 269 4 877487931 +279 663 3 875310394 +90 153 5 891384754 +505 161 3 889333711 +269 3 3 891446722 +429 22 5 882384744 +624 137 4 879792623 +385 254 1 879453094 +357 831 3 878952080 +450 525 3 882467271 +592 619 1 882608234 +270 226 4 876956038 +102 1228 1 888802508 +593 71 4 875661567 +567 497 5 882425901 +221 215 4 875245514 +542 23 5 886532602 +452 443 5 885544109 +487 28 4 883446352 +614 9 4 879464063 +528 181 5 886812857 +181 1152 2 878962496 +116 349 2 886977905 +622 252 1 882591582 +506 403 4 874874458 +130 531 5 875216628 +94 1073 5 891720540 +416 685 3 876697955 +315 209 5 879821003 +552 1152 3 879222002 +425 218 3 878738887 +460 294 2 882910637 +655 523 3 887427268 +537 649 3 886031720 +374 197 5 882158940 +533 133 5 879191085 +7 620 4 891353892 +366 671 5 888857990 +655 736 3 888685734 +592 682 4 882607573 +593 724 3 875670796 +504 1041 3 887910694 +606 530 4 880925074 +138 117 4 879023245 +595 369 3 886921977 +555 117 4 879962152 +260 891 5 890618729 +23 19 4 874784466 +587 682 3 892871372 +251 250 3 886272378 +216 100 5 880232597 +201 127 5 884111708 +268 235 3 875742556 +504 543 4 887908861 +559 199 5 891034040 +346 91 1 874950029 +101 7 3 877135944 +47 288 2 879439078 +214 516 5 892668173 +361 707 4 879440974 +500 1009 4 883865532 +151 88 5 879542645 +324 293 4 880575714 +437 56 4 880140325 +42 203 4 881107413 +338 52 5 879438690 +417 940 2 879649337 +616 689 4 891224748 +650 309 3 891369071 +11 39 3 891905824 +525 252 3 881086780 +639 1020 4 891240136 +495 622 2 888635886 +511 948 3 890004916 +234 785 3 892336119 +59 199 4 888205410 +425 333 3 890346411 +601 588 3 876350719 +152 527 4 882477356 +618 161 4 891308946 +610 568 4 888703648 +621 1118 3 874962824 +593 182 2 886193627 +58 511 5 884304979 +638 554 3 876695059 +204 1296 5 892392078 +316 673 2 880854083 +620 682 2 889986985 +639 1194 5 891239271 +493 742 3 884130253 +457 739 4 882549483 +380 60 4 885478292 +576 56 3 886986444 +608 673 4 880405484 +506 1244 2 884517295 +655 53 2 887429812 +110 1247 2 886988413 +181 756 2 878962866 +280 155 5 891702544 +567 491 3 882426135 +603 429 5 891956981 +437 642 1 880141441 +497 721 3 879362740 +178 62 4 882827083 +497 19 4 879310245 +479 945 5 879460785 +535 129 5 879619000 +440 328 3 891546895 +213 56 5 878955635 +510 876 2 887667574 +587 1624 2 892871752 +416 73 3 876699994 +357 275 5 878951784 +536 52 3 882360187 +624 327 4 879791819 +283 204 4 879298239 +617 100 4 883789425 +1 131 1 878542552 +436 649 5 887771269 +358 639 4 891269584 +13 17 1 882396954 +387 190 5 886483150 +312 175 3 891699321 +342 756 3 874984895 +178 230 4 882826889 +405 55 1 885547909 +463 1033 2 890530703 +14 820 3 882839856 +279 151 4 875249259 +477 724 4 875941086 +625 166 3 891960843 +621 769 3 874964991 +535 116 3 879618246 +453 238 4 877554396 +217 222 5 889069944 +276 453 1 880913767 +417 625 4 879649064 +521 625 3 885253937 +640 732 4 886354499 +6 12 4 883601053 +429 319 3 882387685 +409 1194 5 881107750 +363 778 4 891495510 +99 332 3 885678348 +270 742 2 876954248 +381 344 3 892697905 +468 200 4 875292319 +655 66 2 890887261 +276 367 3 874791667 +44 631 1 883613297 +639 527 4 891239323 +201 226 3 884114232 +561 317 3 885808824 +655 281 2 887426732 +184 50 4 889907396 +608 332 4 880402982 +442 975 3 883391377 +648 69 1 884628564 +519 1062 5 883250148 +504 195 4 887838510 +593 125 4 875659708 +313 193 4 891013887 +615 69 4 879448632 +639 517 2 891239492 +125 412 3 892839191 +474 238 4 887924083 +234 40 2 892335894 +632 237 3 879458570 +16 204 5 877722736 +320 233 4 884749281 +536 449 4 882361262 +655 52 3 891585279 +654 558 3 887864471 +610 402 5 888704000 +41 430 5 890692860 +236 196 1 890115966 +570 326 1 881262437 +617 242 3 883788511 +360 271 2 880354839 +625 209 3 891262633 +568 988 1 877906737 +407 180 4 875044597 +588 220 5 890025023 +645 675 4 892053747 +234 606 5 892318060 +532 51 5 888635365 +533 83 2 879191902 +529 294 4 882535466 +655 224 3 887425845 +576 275 3 886985695 +551 975 5 892784130 +429 629 3 882387163 +612 322 3 875324294 +95 182 2 879198210 +655 918 2 892436609 +547 312 4 891282824 +450 77 4 887139143 +634 460 3 875729710 +616 750 5 891224590 +601 1079 3 876347148 +381 487 5 892697083 +593 584 3 875671579 +56 1057 3 892683978 +160 195 4 876859413 +650 197 4 891372233 +59 523 4 888204389 +394 402 4 880888775 +622 780 4 882671574 +130 315 4 884623887 +313 177 4 891015566 +116 748 2 876452186 +374 185 5 880395665 +151 953 5 879524948 +347 930 2 881653340 +89 275 5 879441307 +138 222 4 879023345 +643 143 4 891447868 +543 578 3 877546305 +100 1234 1 891375068 +308 602 4 887737536 +425 145 3 878738956 +640 239 5 874778274 +450 921 4 882372178 +327 1070 4 887744513 +484 230 5 891195417 +301 418 3 882076751 +590 100 5 879438825 +655 344 4 888204230 +627 740 1 879530501 +655 14 3 891585450 +527 208 4 879456289 +551 156 5 892777723 +295 97 5 879517761 +457 553 5 882396314 +502 678 3 883702448 +405 1468 1 885546287 +614 281 3 879464308 +596 294 4 883539079 +603 380 4 891955972 +381 1098 4 892696045 +503 526 3 880472188 +649 1 5 891440235 +409 481 3 881107602 +452 64 4 875266518 +60 705 4 883326710 +94 81 4 885870577 +658 276 4 875145572 +549 678 3 881671982 +316 482 3 880854337 +339 64 5 891033629 +380 100 4 885478193 +272 175 5 879455043 +435 9 4 884131055 +553 174 4 879949073 +377 682 3 891296448 +7 503 4 891353950 +535 727 4 879618502 +551 875 4 892775970 +315 203 3 879821194 +621 17 4 880739965 +566 218 4 881650242 +7 444 5 891354288 +223 257 4 891550005 +417 364 3 880953014 +533 756 4 879193004 +401 659 3 891033061 +655 935 3 887425498 +502 342 4 883702088 +351 332 5 879481495 +296 688 1 884196374 +180 196 5 877355617 +429 845 4 882386401 +207 202 3 875506771 +236 429 1 890118632 +456 196 4 881374649 +607 382 3 883880110 +533 58 4 888845150 +406 845 3 879540051 +555 302 3 879962096 +334 143 2 891548647 +181 1022 1 878962006 +592 306 5 882607528 +437 238 5 880140369 +445 100 2 890987569 +504 212 4 887909911 +399 542 3 882344021 +336 42 5 877757669 +648 411 2 882212288 +374 986 3 880936113 +323 288 3 878738827 +244 629 4 880606442 +448 286 2 891887393 +567 646 5 882427046 +373 472 3 877111951 +524 480 4 884634911 +554 43 3 876369968 +222 712 3 881060735 +416 651 4 886316439 +141 25 5 884585105 +450 1048 3 882397813 +615 199 5 879448599 +416 181 5 893213019 +614 288 2 879463630 +437 185 5 880140192 +585 971 3 891282894 +438 245 5 879867960 +585 1323 3 891284588 +530 60 5 883790997 +477 36 4 875941224 +371 435 3 877487751 +255 895 2 883216185 +639 210 3 891240136 +548 23 5 891044410 +85 328 3 884906441 +280 393 4 891702323 +416 676 5 893213549 +553 218 4 879948996 +399 1541 3 882510107 +554 14 4 876550182 +567 641 5 882426158 +307 1028 4 875746067 +653 257 3 890181185 +92 174 5 875654189 +141 985 4 884585363 +655 179 4 888813272 +303 824 3 879483901 +342 408 5 875318266 +656 689 2 892319276 +656 327 2 892318738 +374 566 3 880394571 +579 216 5 880952299 +621 63 1 874963445 +189 150 4 893277702 +387 558 4 886480384 +399 215 2 882510226 +10 530 4 877892210 +498 288 3 881953815 +405 433 4 885545070 +643 484 5 891448756 +616 315 4 891224447 +303 1023 2 879544898 +91 192 4 891439302 +620 501 4 889988036 +551 80 1 892785300 +109 111 4 880564570 +244 697 4 880607335 +63 1010 3 875747829 +592 215 5 882956467 +16 227 5 877727193 +92 116 3 875640251 +295 65 5 879517655 +440 750 5 891546784 +650 50 5 891372232 +592 1609 1 882608698 +626 682 3 878771447 +554 318 5 876369730 +606 265 4 880924663 +393 1539 2 889730460 +92 383 1 876175191 +533 72 2 879192157 +499 692 4 885599119 +298 168 5 884182933 +401 735 5 891033158 +503 482 5 880383588 +450 965 4 882394364 +450 26 5 882396489 +510 333 3 887667465 +121 118 2 891390501 +582 93 5 882960844 +562 477 4 879195688 +639 198 2 891239885 +621 100 5 880227104 +271 405 2 885848179 +542 210 3 886532706 +181 758 1 878963418 +561 732 3 885809958 +592 250 4 882608145 +524 781 1 884636583 +504 218 4 887910267 +653 226 3 878867346 +276 679 3 874792520 +553 1200 3 879948964 +479 173 5 879460984 +647 604 4 876537591 +56 226 4 892679277 +280 294 2 891700021 +245 597 4 888513326 +85 606 4 886282959 +587 259 4 892871223 +637 332 4 882900888 +612 15 4 875324455 +526 250 2 885682477 +620 240 5 889987954 +348 25 4 886523521 +13 128 1 882397502 +595 282 4 886921344 +279 169 5 875306910 +653 576 1 880152955 +300 409 4 875650329 +462 22 5 886365498 +26 313 5 891386368 +303 474 5 879466457 +201 318 5 884111269 +378 930 2 880044906 +468 1051 2 875284635 +450 651 5 882376658 +109 227 5 880579417 +622 132 4 882669851 +536 215 4 882360530 +247 1022 4 893097024 +618 168 5 891308342 +43 482 4 875981421 +505 77 3 889334248 +435 227 4 884133372 +537 735 3 886031576 +515 682 4 887659192 +29 182 4 882821989 +328 637 3 885047865 +660 82 2 891200491 +492 69 3 879969385 +521 268 5 884475470 +447 559 3 878856172 +200 193 4 884129209 +532 482 5 888629254 +642 1011 3 885842351 +343 68 1 876406878 +559 523 4 891035812 +201 218 4 884114471 +327 150 4 887744356 +625 169 5 891263665 +452 404 4 875561978 +566 96 3 881650171 +90 647 5 891383204 +524 684 4 884636236 +292 1073 5 881105318 +618 9 3 891308141 +561 8 3 885807455 +279 679 4 884556545 +618 241 4 891309887 +534 147 5 877808031 +462 300 5 886365260 +151 469 1 879528852 +241 689 3 887250085 +109 395 3 880583672 +160 922 5 876767621 +346 144 4 886273914 +504 106 3 887831879 +537 458 3 886030176 +463 107 3 889936181 +655 98 4 887472744 +164 252 4 889402265 +303 70 4 879467739 +179 288 5 892151489 +474 282 4 887916411 +610 489 4 888703343 +635 269 5 878878587 +445 1598 1 891200592 +504 386 3 887912431 +595 994 4 886921897 +115 240 5 881171982 +658 8 5 875147873 +582 124 4 882961082 +477 289 5 875941793 +619 332 4 885953742 +268 576 1 875744289 +392 58 4 891038433 +378 694 3 880055101 +622 722 3 882670862 +100 270 3 891375016 +125 430 4 879454309 +528 523 4 886101846 +659 66 4 891385306 +86 242 4 879569486 +447 96 5 878855847 +466 210 4 890284706 +655 726 2 887475055 +551 717 3 892785164 +495 54 5 888637768 +487 921 5 884042629 +417 433 4 879648403 +394 238 5 880887348 +655 945 2 887476008 +451 301 4 879012431 +496 173 5 876065349 +623 692 3 891034951 +152 1300 4 886535827 +336 1048 4 877757134 +339 174 4 891032320 +18 386 2 880131986 +555 357 4 879975455 +610 97 3 888703453 +354 186 4 891217811 +532 450 2 874796421 +305 179 1 886323966 +390 329 3 879693608 +69 7 5 882126086 +586 249 2 884058005 +561 229 3 885810271 +638 172 4 876694787 +585 1121 4 891283339 +484 562 3 891195565 +321 519 4 879441336 +436 47 4 887769930 +290 211 3 880474235 +341 1280 2 890757782 +363 201 2 891495371 +648 133 4 882212651 +624 242 4 891961040 +118 201 5 875385198 +276 411 4 874786807 +60 69 4 883326215 +307 588 4 877118284 +58 255 4 890321652 +543 226 4 875663372 +269 417 2 891451303 +523 476 3 883702441 +653 153 2 878867228 +488 238 1 891375965 +577 241 5 880474766 +176 237 3 886048145 +653 1210 2 880153705 +493 48 4 884130995 +477 778 4 875941191 +56 42 4 892676933 +330 69 5 876546890 +276 768 3 874793118 +308 665 4 887741003 +524 1454 3 884637128 +72 647 1 880036550 +639 962 1 891243532 +588 215 5 890024564 +437 90 3 880143289 +56 53 3 892679163 +393 144 3 887746174 +606 410 3 880921656 +629 162 5 880117361 +452 427 4 875264976 +241 270 3 887250026 +551 118 5 892784008 +495 924 3 888634441 +378 298 3 883835761 +234 480 4 892078485 +529 245 3 882535639 +239 745 5 889180338 +561 231 2 885810744 +90 234 4 891383835 +58 25 4 884304570 +7 591 3 891352179 +282 268 4 879949438 +621 383 2 874963166 +606 423 5 880925200 +146 340 4 891457714 +375 573 4 886622131 +293 77 2 888907210 +554 209 4 876232997 +655 185 4 887430102 +363 640 2 891496927 +627 724 2 879530305 +215 517 5 891436543 +559 318 5 891033835 +634 597 4 877017923 +336 785 1 877758935 +227 1067 4 879035572 +445 268 1 890987410 +334 79 4 891546992 +454 478 2 888267487 +226 236 3 883889844 +487 92 4 883446600 +261 245 4 890454190 +413 690 4 879968793 +643 820 3 891446381 +59 755 4 888206254 +279 1012 5 875298447 +634 129 4 875729105 +440 313 4 891546631 +622 432 5 882670009 +342 433 5 874984395 +640 1073 5 874778299 +478 1101 4 889396005 +638 181 5 876694787 +277 472 1 879544058 +623 483 5 891035112 +592 484 4 882956551 +648 1050 4 884797033 +650 521 3 891387616 +222 44 3 881059877 +336 1446 1 877757790 +218 642 3 881288351 +593 1028 3 875659896 +506 73 4 874873703 +133 902 3 890588672 +548 302 4 891042194 +604 201 3 883668352 +532 164 5 892519934 +264 116 4 886122892 +586 161 5 884062671 +551 591 5 892783612 +588 751 3 890014887 +629 269 3 880115840 +94 164 3 891721528 +385 521 3 879446208 +315 286 5 879799301 +497 183 4 879310825 +648 1244 3 882212373 +389 923 5 880087151 +276 193 4 874790952 +254 323 3 886470765 +420 478 3 891356864 +58 213 5 884663379 +599 237 5 880951595 +655 347 3 887424948 +188 118 3 875072972 +429 500 1 882384772 +615 707 3 879447990 +650 217 3 891389162 +239 1332 3 889180888 +650 7 4 891369656 +151 408 5 879524222 +104 750 5 888442171 +159 7 5 880485861 +330 205 3 876546105 +452 465 5 886148336 +506 147 3 888848342 +426 1451 4 879444734 +276 183 5 874792402 +577 11 2 880474293 +26 591 3 891351590 +297 752 4 888643376 +505 96 4 889333442 +538 183 4 877106768 +160 514 4 876858091 +660 392 2 891200072 +222 328 5 877562772 +629 332 4 880116722 +543 586 3 877547190 +393 771 3 889731793 +392 257 5 891038184 +226 89 5 883889229 +658 257 4 875145667 +471 422 5 889827982 +650 737 2 891383832 +654 821 3 887864907 +201 186 3 884114069 +537 53 2 886032029 +276 725 2 877935392 +648 554 4 884883323 +538 31 3 877109422 +85 582 4 879828014 +354 81 3 891217249 +614 546 1 879463965 +499 127 4 885598312 +492 286 4 879969099 +629 204 5 880117285 +363 284 2 891495987 +537 111 3 886030077 +582 181 4 882961301 +263 443 5 891298914 +585 70 5 891286256 +646 690 3 888528417 +201 273 2 884112352 +577 423 4 880472124 +381 887 3 892697941 +218 591 3 881288574 +361 79 4 879441286 +6 302 4 883268222 +437 482 5 880140051 +347 550 5 881654734 +65 179 3 879216605 +592 508 5 882608021 +551 172 2 892778164 +95 485 5 888954129 +183 230 5 892323452 +403 129 4 879785822 +480 504 4 891208822 +155 327 2 879371061 +324 259 5 880575107 +541 477 4 883865654 +221 286 4 885081264 +189 1402 4 893266051 +328 328 4 885044566 +334 134 5 891545973 +181 263 1 878961709 +599 111 5 880951885 +543 519 4 875662979 +642 1181 2 885607143 +434 819 3 886724873 +244 71 4 880606874 +324 475 5 880575449 +655 1158 3 888984255 +608 238 5 880403810 +566 327 3 881649273 +541 8 5 883874645 +644 243 4 889076364 +90 194 5 891383424 +523 167 4 883702233 +625 188 4 891262724 +378 180 3 880045822 +299 730 4 889501926 +119 255 3 874775914 +399 210 3 882342805 +197 307 3 891409323 +458 529 3 886398120 +52 473 4 882922661 +254 393 3 886473489 +214 298 3 891543191 +518 591 3 876823447 +490 151 1 875428185 +604 670 5 883668352 +6 309 2 883268430 +499 272 5 885597680 +30 50 3 875061066 +514 275 5 875463028 +648 797 3 884883031 +521 227 3 885253808 +133 243 3 890589035 +185 116 4 883526268 +472 56 5 875979853 +358 8 5 891269179 +262 1014 5 879961954 +645 1018 3 892053518 +593 692 3 886193724 +85 152 5 879454751 +524 494 4 884637409 +13 471 1 882140455 +643 117 3 891445823 +11 603 4 891905783 +299 1 3 877877535 +524 831 3 884628212 +577 203 3 880474455 +62 582 4 879374753 +296 111 3 884196712 +624 475 4 879793223 +532 252 4 888636478 +95 209 4 879197021 +7 384 3 891353710 +280 2 3 891701278 +452 211 2 875266197 +21 992 2 874951349 +334 42 4 891545741 +94 930 2 891724747 +234 317 2 892334189 +18 414 4 880131054 +403 864 4 879786747 +655 205 3 887650538 +474 211 5 887925751 +72 187 4 880036638 +629 463 4 880117852 +488 500 4 891294568 +7 487 3 891352178 +270 421 5 876955633 +660 167 2 891201565 +327 111 4 887819462 +54 307 4 891813846 +58 497 2 884305123 +61 333 3 891206232 +327 682 3 887737629 +592 705 5 882955978 +423 1238 3 891394874 +318 77 3 884497078 +397 641 5 885349999 +312 490 5 891699655 +489 327 5 891448409 +663 588 4 889493628 +605 1040 2 879425689 +653 436 1 880151673 +639 1121 2 891239885 +458 278 2 886395469 +374 1010 5 880393921 +524 451 3 884637202 +634 1199 1 875728913 +312 607 5 891698424 +1 109 5 874965739 +294 1134 3 877819761 +90 126 2 891384611 +145 316 5 888396966 +648 1072 2 884882527 +551 505 5 892777397 +562 66 1 879195927 +653 622 3 880152377 +324 1 5 880575412 +40 272 2 889041283 +601 671 4 876348572 +563 412 2 880507108 +615 127 5 879448399 +537 176 2 886031606 +328 182 2 885045678 +518 126 4 876823018 +532 501 5 889235367 +586 651 3 884059287 +565 1018 5 891037862 +201 233 4 884310104 +497 273 4 879310604 +415 322 4 879439205 +598 350 4 886711452 +532 292 4 884594621 +397 100 5 882839517 +498 186 4 881960591 +249 4 4 879572142 +642 1178 3 885606067 +588 723 2 890026459 +645 197 5 892055244 +295 740 4 879517225 +84 258 4 883449347 +169 204 3 891359317 +90 519 5 891384423 +354 286 4 891180445 +527 202 3 879456691 +18 753 4 880129816 +417 51 3 879648526 +13 299 3 881515698 +460 250 2 882912261 +484 849 3 891195506 +630 258 3 885666143 +389 416 4 880087996 +472 665 4 875983023 +653 1014 2 884405682 +130 578 5 878537681 +465 511 4 883530991 +472 7 5 892790953 +16 321 3 877717116 +70 429 3 884150369 +642 552 4 886569347 +648 98 4 884368313 +321 170 4 879438651 +646 304 3 888529014 +643 203 4 891446956 +191 331 4 891560631 +189 378 4 893266137 +457 191 5 882396659 +655 550 2 887611677 +82 678 1 884714726 +388 628 4 886436661 +336 15 4 877754621 +371 431 5 880435601 +421 82 4 892241294 +250 993 5 878089881 +493 455 5 884131690 +627 172 3 879531196 +541 118 4 883871670 +401 11 2 891033227 +152 66 5 886535773 +555 169 5 879975419 +486 1369 3 879874582 +650 399 3 891381784 +303 22 5 879467413 +339 74 4 891033382 +385 433 4 879442673 +332 756 2 887938687 +537 582 3 886030966 +271 487 4 885848770 +577 338 3 880469983 +625 213 4 891999608 +1 182 4 875072520 +655 303 4 888474107 +534 274 3 877807846 +47 874 3 879439078 +514 531 3 875308734 +493 483 5 884131534 +43 969 5 875981159 +640 720 3 874778612 +650 708 3 891383356 +660 96 3 891200430 +588 282 5 890015894 +227 129 5 879035387 +458 98 3 886396240 +267 141 4 878972147 +464 293 5 878355033 +301 163 3 882076264 +655 805 2 888474327 +13 667 1 882397040 +341 330 5 890758113 +567 306 3 882426327 +561 81 2 885808000 +606 549 4 880926862 +653 83 5 878853936 +372 176 3 876869667 +504 527 4 887838624 +655 58 3 887427600 +534 619 4 877807653 +360 172 4 880356240 +108 124 4 879879757 +363 747 5 891495918 +394 496 5 880887206 +219 936 4 889387284 +291 924 4 874833962 +650 480 5 891371090 +653 1140 1 880153841 +286 888 5 884583549 +617 590 1 883789747 +466 56 4 890284706 +234 845 3 892335825 +291 90 5 874871800 +623 629 3 891034973 +298 946 3 884182868 +363 550 4 891497205 +592 1039 4 882955582 +479 213 4 879461039 +425 24 2 878738386 +96 89 5 884402896 +498 136 3 881958174 +635 748 2 878878838 +608 337 4 880402982 +94 735 5 891721528 +514 483 4 875462795 +429 298 5 882386145 +474 697 4 887928498 +406 487 3 884630973 +487 412 1 883445220 +643 597 2 891446301 +593 83 5 886194064 +198 237 2 884206191 +311 64 5 884364502 +145 88 5 875272833 +524 1129 2 884832580 +293 402 2 888907702 +659 507 5 891383561 +655 162 3 888474165 +542 195 3 886532294 +505 510 3 889334477 +642 53 2 885604940 +449 936 5 879958721 +655 100 3 888474138 +472 68 5 892791017 +271 173 4 885848672 +643 928 4 891445660 +505 660 3 889334477 +373 746 4 877098714 +457 209 5 882553113 +526 343 3 885682264 +588 832 1 890027865 +527 652 4 879456248 +18 747 3 880132225 +497 24 4 879310260 +290 199 3 880474799 +373 1119 5 877105708 +161 640 2 891171558 +435 163 3 884131489 +489 261 2 891449155 +597 293 5 875340939 +504 660 4 887839195 +417 257 3 879646244 +458 651 3 886397988 +655 1651 4 891913500 +393 354 4 889554151 +535 210 5 879618160 +655 51 2 887611677 +457 568 4 882547590 +543 410 3 877453103 +442 367 2 883388887 +592 174 5 882955918 +601 186 4 876349542 +103 211 3 880420565 +416 319 5 893213444 +630 243 2 885666301 +500 996 1 883875241 +279 301 4 878082781 +39 748 5 891400704 +315 121 2 879821300 +437 265 3 880142942 +629 886 3 880116278 +370 480 4 879434886 +407 710 4 875046460 +515 323 3 887659192 +464 176 4 878355211 +419 615 5 879435785 +506 198 2 874873703 +592 919 5 882608061 +398 430 4 875659265 +326 616 5 879875724 +438 21 2 879868683 +379 131 5 882563797 +660 845 3 891198385 +385 183 3 879442706 +647 588 4 876531955 +514 988 2 885180989 +64 531 3 889740718 +605 133 5 879424661 +523 163 5 883702411 +545 1 5 879901359 +479 183 5 889125563 +646 682 3 888529153 +630 71 3 885667854 +363 709 4 891495003 +23 211 4 874786512 +94 654 5 885872684 +151 195 3 879524642 +398 2 3 875718614 +429 566 3 882386357 +373 166 5 877098262 +495 151 5 888635236 +72 471 4 880035588 +640 663 5 874778240 +659 646 4 891332122 +642 65 4 886132172 +616 272 5 891224517 +156 806 3 888185777 +593 158 3 875671891 +458 301 1 889323539 +236 750 5 890117676 +655 727 2 888685914 +592 1265 1 882607690 +200 483 5 884128426 +517 1 3 892659892 +194 371 3 879527584 +373 239 3 877105708 +504 223 5 887832364 +486 322 2 879874262 +224 582 4 888104030 +1 71 3 876892425 +653 157 5 878855483 +90 56 5 891384516 +500 464 4 883875274 +564 345 4 888718521 +13 492 5 882140552 +198 195 3 884207267 +457 22 5 882396705 +592 521 5 882955703 +650 751 2 891369001 +401 630 4 891033370 +10 319 3 877886223 +504 1444 3 887911133 +99 240 4 885679279 +618 477 2 891308791 +536 662 5 882360100 +660 510 3 891199056 +592 546 4 882608500 +524 516 4 884634578 +545 633 3 884133963 +213 455 4 878870749 +451 680 1 879012811 +49 57 4 888066571 +290 930 3 880732131 +171 305 2 891034606 +423 471 3 891395626 +291 974 1 874833962 +1 223 5 876892918 +114 615 2 881260441 +239 172 4 889178833 +493 65 4 884132146 +472 1090 5 875983321 +537 919 4 886030012 +401 25 4 891032412 +532 354 4 887672256 +401 1009 4 891032626 +141 676 5 884585001 +227 1143 4 879035803 +454 660 3 888267128 +450 934 3 882471362 +23 102 3 874785957 +399 660 3 882510250 +642 259 5 885605095 +525 125 3 881085709 +597 15 5 875341758 +173 687 1 877557132 +291 219 4 874867785 +591 1111 4 891031603 +85 23 4 879454272 +633 79 5 875325128 +268 574 2 875745579 +44 64 5 878347915 +437 946 3 881002092 +514 713 3 875309415 +585 1009 5 891285491 +514 70 5 875462826 +536 596 3 882317312 +560 246 5 879976109 +92 72 3 875658159 +387 193 5 886484065 +43 28 4 875981452 +11 15 5 891903067 +458 582 1 886398488 +493 12 3 884132225 +312 640 2 891698951 +461 285 4 885356112 +345 66 3 884993069 +548 654 5 891044411 +655 744 2 887427636 +18 549 4 880131173 +588 97 2 890023587 +586 496 3 884059426 +608 4 3 880406168 +538 381 3 877110175 +450 1444 4 882468239 +236 181 4 890115933 +250 116 4 878089921 +572 476 4 879449573 +267 209 5 878971745 +569 458 2 879794498 +453 1230 2 888202271 +582 7 5 882961082 +293 531 4 888905642 +119 340 4 886176485 +294 148 3 877820155 +664 179 4 876523654 +311 796 3 884365889 +645 175 5 892054537 +568 435 2 877907721 +542 127 5 886532294 +472 485 3 875980377 +606 455 2 880923349 +522 430 5 876961314 +526 748 1 885682214 +373 627 4 877105901 +536 135 5 882359370 +174 546 3 886514323 +457 1168 5 882548761 +406 451 2 880131954 +518 864 3 876823324 +406 5 4 880132276 +215 28 4 891435416 +633 234 4 877212594 +531 327 3 887048718 +495 452 2 888637070 +618 173 3 891307404 +537 573 2 886031886 +43 301 5 875975135 +399 399 3 882342354 +72 380 1 880036854 +72 685 4 880035588 +95 67 2 879198109 +561 642 3 885809356 +99 1079 3 885679504 +645 512 5 892055072 +363 1012 4 891499355 +627 685 3 879531351 +236 934 4 890117570 +23 131 4 884550021 +405 842 5 885548932 +541 651 5 883864782 +394 164 4 880886612 +664 89 5 878092649 +222 934 2 877563758 +523 194 5 883702210 +537 44 3 886031886 +540 323 3 882156851 +158 583 3 880134477 +343 4 5 876408139 +389 65 4 880088171 +663 181 4 889493732 +267 679 4 878974509 +625 546 2 891273897 +653 211 1 880149947 +21 438 1 874951858 +106 495 4 881451016 +387 92 4 886483098 +488 185 4 891376137 +347 290 3 881653132 +537 873 2 886029211 +551 1169 4 892778297 +649 1016 4 891440511 +231 597 3 879966146 +3 352 2 889237055 +592 1047 1 882608736 +213 756 2 878955319 +429 1048 2 882386966 +293 1041 2 888907674 +538 710 3 877107726 +645 523 5 892053686 +409 286 5 881104697 +85 732 3 879455238 +591 580 2 891031526 +244 1109 4 880607116 +429 96 4 882387053 +399 575 1 882350762 +536 1039 5 882360029 +528 615 4 886101715 +457 50 5 882393620 +577 58 4 880474414 +495 447 4 888635420 +622 1303 2 882672060 +577 545 3 880476578 +18 434 3 880131297 +659 601 3 891386241 +235 483 5 889655204 +490 150 5 875428765 +401 161 2 891033603 +13 638 3 881515239 +507 898 5 889964202 +501 1007 4 883995203 +601 71 1 876349937 +618 762 3 891309636 +142 186 4 888640430 +109 542 3 880582045 +638 144 5 876694861 +457 223 5 882396734 +313 215 4 891015011 +577 866 5 880470570 +330 100 4 876544277 +655 1097 3 887426008 +524 436 4 884636864 +538 735 3 877108785 +374 248 1 880393191 +207 196 4 880911845 +476 386 2 883365135 +523 934 4 883702602 +254 82 4 886472767 +639 1163 1 891239349 +525 250 3 881085917 +368 183 5 889783678 +656 245 1 892319084 +90 154 5 891384516 +469 215 4 879523802 +517 222 4 892660033 +62 380 5 879375626 +545 413 4 879899977 +472 21 3 875978686 +479 295 1 879460424 +161 204 2 891170947 +589 294 5 883352600 +492 212 3 879969367 +297 419 3 875240016 +643 443 4 891446919 +61 271 1 892302231 +655 509 3 887427441 +650 665 2 891381819 +49 358 1 888065805 +663 1047 4 889492679 +419 604 5 879435590 +345 762 5 884991285 +401 515 4 891032367 +90 387 5 891385215 +629 880 4 880116722 +16 583 4 877720186 +657 690 4 884238002 +629 195 4 880116847 +312 596 5 891699626 +642 1079 5 885605987 +157 597 3 886890406 +615 527 4 879448399 +328 204 3 885045993 +201 258 2 884110667 +629 207 4 880117000 +405 1091 1 885549004 +324 328 4 880575002 +405 83 1 885545974 +280 496 5 891700321 +409 523 4 881106682 +655 959 3 887427958 +276 82 4 874792402 +430 328 4 877225327 +524 301 4 884321179 +659 607 5 891331825 +463 477 2 877385489 +496 164 3 876066153 +116 11 5 886310197 +51 210 4 883498844 +477 553 5 875941155 +353 905 4 891402674 +655 685 2 887426666 +665 762 4 884290480 +506 261 3 885135514 +665 287 4 884290575 +311 660 4 884365252 +387 206 4 886483429 +49 324 4 888065702 +554 692 4 876549579 +334 865 2 891549631 +605 827 3 879429729 +343 50 5 876402814 +387 1018 3 886483526 +663 245 4 889491891 +450 71 3 882377358 +56 655 4 892676996 +303 251 4 879544533 +450 98 4 882371732 +320 204 5 884750717 +552 50 4 879221876 +529 326 4 882535304 +399 204 3 882342061 +13 895 1 883670515 +593 77 4 875671619 +595 930 2 886921870 +551 421 4 892778202 +416 137 3 876697165 +291 411 4 874834220 +268 622 3 875310145 +207 435 4 875506807 +493 171 5 884130825 +664 73 2 878090764 +275 432 4 875154535 +425 117 3 878738435 +181 300 3 878961227 +253 153 3 891628278 +593 451 3 875672999 +579 603 5 880952006 +97 434 4 884239791 +397 1001 1 885350326 +582 760 3 882962886 +77 31 3 884753292 +468 144 5 875287826 +618 959 4 891309756 +633 410 2 875325865 +445 55 1 890987712 +497 222 3 879310580 +303 85 3 879484588 +295 357 4 879517136 +637 1374 1 882903447 +514 680 1 885180893 +588 272 5 890014748 +435 845 3 884132100 +291 1012 4 874805892 +174 246 5 886433833 +500 45 4 883874170 +588 110 3 890027247 +104 591 4 888465263 +500 531 3 883873911 +506 55 4 874873287 +429 114 5 882385663 +598 313 5 886711452 +489 243 4 891445389 +102 612 4 879082395 +139 100 5 879538199 +237 134 5 879376327 +382 122 3 875946440 +514 470 3 875462901 +276 1098 4 880913684 +594 126 3 874781173 +158 576 4 880134607 +201 682 3 884110887 +125 172 5 879454448 +167 530 5 892738453 +643 712 3 891449249 +540 310 4 882156710 +332 845 3 887938421 +291 282 4 874833788 +297 529 3 875238778 +648 252 4 882212374 +241 310 4 887249576 +653 310 4 884405406 +614 1009 3 879464119 +255 56 5 883216448 +387 196 2 886484012 +518 1011 4 876823645 +429 233 3 882385593 +474 215 5 887926804 +89 235 5 879441657 +379 137 5 890464307 +555 120 4 879964334 +379 436 3 885063346 +623 88 4 891034973 +201 469 4 884113453 +514 65 3 886190207 +170 304 4 887646133 +308 614 3 887739757 +398 194 5 875717638 +116 479 4 876454191 +524 77 3 884637095 +429 631 4 882385243 +373 568 4 877100199 +550 125 4 883425958 +239 45 5 889180578 +567 156 5 882426055 +440 1105 5 891548567 +620 99 3 889988005 +345 639 4 884993139 +469 611 5 879525237 +317 354 4 891446251 +640 566 4 874778569 +466 96 5 890284819 +95 65 4 879197918 +437 1036 5 880143562 +484 431 4 891194692 +486 1375 3 879874449 +409 708 4 881109019 +425 689 2 890346517 +363 22 3 891494962 +201 303 2 884110667 +653 732 2 878866724 +573 185 3 885844605 +344 367 5 884901560 +584 172 4 885778080 +574 302 4 891278860 +13 657 4 882139829 +493 22 5 884131114 +12 161 5 879959553 +493 238 3 884131985 +443 687 3 883504889 +11 430 3 891905032 +500 475 5 883865232 +197 403 3 891410038 +608 961 4 880405431 +326 173 5 879874989 +642 240 3 885606137 +657 300 2 884237751 +541 432 4 883874716 +648 203 1 884796571 +660 252 2 891198459 +591 514 4 891031383 +177 322 2 880130534 +65 423 5 879216702 +500 135 5 883875041 +122 469 5 879270644 +343 176 5 876405553 +264 100 5 886122261 +299 792 4 889503112 +639 51 2 891239613 +363 691 3 891493663 +326 229 3 879876941 +295 561 5 879518696 +5 396 5 875636265 +532 305 3 878372701 +493 209 5 884130933 +410 316 4 888627138 +600 50 4 888451492 +467 117 2 879532437 +615 988 1 879447735 +334 856 4 891545926 +592 313 5 882955258 +621 881 2 883798770 +201 1128 4 884140825 +194 432 4 879524007 +393 291 4 887744202 +375 233 4 886621985 +541 62 4 883871644 +295 265 4 879518042 +454 435 2 881960145 +452 521 3 885545770 +59 184 4 888206094 +536 97 3 882360662 +619 226 5 885954133 +618 1468 3 891308665 +603 923 4 891957139 +561 285 4 885808715 +72 56 5 880037702 +457 59 5 882397575 +660 926 2 891201587 +96 127 5 884403214 +176 298 4 886047918 +342 846 2 875318688 +653 527 2 878855510 +118 175 5 875384885 +373 679 2 877107355 +541 121 3 883871695 +10 273 4 877888613 +331 1296 5 877196820 +197 241 3 891409893 +468 1012 4 875280462 +387 258 4 886480818 +148 132 4 877020715 +665 527 3 884294880 +458 289 2 889323582 +551 402 4 892784049 +542 150 2 886532908 +650 429 4 891383523 +352 156 4 884290428 +595 926 1 886921897 +40 310 3 889041283 +175 133 4 877107390 +425 823 3 878738757 +503 840 1 879454292 +655 1370 3 890887261 +378 1145 3 880334409 +622 15 4 882590670 +13 179 2 882140206 +457 819 2 882396001 +407 201 4 875045240 +58 651 4 884305185 +492 291 4 879969692 +234 28 4 892079538 +601 133 4 876350812 +639 212 4 891239550 +416 369 2 888701033 +452 490 4 875261350 +650 1119 3 891383303 +358 512 5 891269511 +532 9 5 893119438 +546 347 5 885139580 +577 1209 4 880476578 +666 56 4 880139090 +490 7 3 875427739 +655 476 2 887428671 +121 644 4 891388035 +60 230 4 883327441 +239 165 5 889180411 +592 342 2 882607745 +37 841 3 880915711 +577 4 4 880474635 +58 135 4 884305150 +501 118 3 883348474 +56 395 3 892911625 +646 346 2 888528392 +159 1023 2 880557741 +605 237 3 879424661 +501 410 4 883348207 +59 479 5 888205370 +555 288 3 879962096 +608 301 1 880402633 +498 210 2 881957054 +131 269 5 883681723 +450 233 3 882474001 +644 121 5 889077344 +666 173 4 880139253 +515 258 4 887658676 +593 9 3 875659306 +642 623 4 886570010 +56 265 4 892676314 +648 33 1 884881722 +374 423 3 880394484 +392 209 5 891038978 +653 180 5 878854593 +380 265 3 885481179 +405 561 1 885548475 +409 1073 4 881107750 +609 314 1 886895941 +405 48 1 885546154 +234 197 5 892333616 +561 1230 3 885810813 +405 694 1 885546336 +405 1072 1 885547222 +660 184 3 891200741 +73 748 2 888792247 +498 56 3 881957353 +585 1344 3 891282573 +605 9 4 879365773 +429 742 4 882386711 +69 879 1 882027284 +244 949 4 880606874 +548 121 5 891415939 +55 79 5 878176398 +486 93 4 879874629 +666 1047 3 880313858 +552 117 3 879222412 +569 121 3 879794699 +655 273 4 887426373 +632 172 5 879457157 +357 304 5 878951101 +305 770 3 886324521 +592 253 1 882608279 +606 31 4 880925199 +524 435 4 884635053 +661 183 4 876035466 +389 661 4 880165168 +479 274 4 879460370 +195 1414 2 874825826 +70 173 4 884149452 +286 483 5 877531661 +401 174 4 891032803 +650 445 4 891388210 +379 238 5 880525236 +605 98 5 879425432 +534 823 4 877807973 +617 436 3 883789464 +125 122 1 892839312 +579 238 3 880952201 +566 461 4 881649853 +269 1444 1 891451947 +645 658 4 892054632 +405 1037 3 885547506 +655 1232 3 887472606 +524 44 4 884636416 +313 195 5 891013620 +655 1605 3 888685850 +455 275 4 878585826 +661 132 5 886841714 +648 178 4 884368273 +65 215 5 879217689 +484 168 4 891195036 +477 732 4 875941111 +587 326 3 892871284 +411 1197 4 892846971 +398 117 4 875653091 +280 402 4 891701249 +442 288 4 883390048 +498 222 3 881961877 +460 248 4 882912342 +388 508 3 886436930 +663 411 3 889492877 +622 165 5 882591938 +263 50 5 891300029 +205 322 3 888284577 +638 514 2 876695714 +301 797 4 882078558 +582 237 3 882960941 +387 321 3 886484384 +595 591 4 886921344 +158 238 5 880134913 +525 596 4 881086195 +116 1255 2 876453377 +653 181 4 878854145 +450 141 3 882377726 +663 658 4 889493467 +538 11 4 877109516 +662 515 4 880571006 +322 303 3 887313611 +487 471 3 883441956 +398 496 5 875721111 +248 22 2 884534752 +202 516 4 879726778 +650 95 3 891371186 +591 367 3 891031403 +135 1217 2 879857956 +70 28 4 884065757 +488 429 4 891375991 +82 412 1 884714513 +151 216 4 879524713 +567 133 4 882425790 +450 956 4 882394097 +246 431 3 884921661 +405 944 3 885547447 +627 399 3 879531557 +344 203 4 884901328 +664 433 3 876525998 +624 347 4 891961140 +222 1060 2 878184055 +276 759 1 874796412 +181 236 1 878962350 +279 210 4 878261893 +293 393 3 888906906 +601 476 1 876347765 +551 38 1 892784553 +639 971 4 891239913 +282 333 3 879949394 +524 845 5 884323426 +648 675 2 884883424 +353 331 4 891401992 +557 892 3 884357648 +363 408 5 891494865 +405 204 5 885544769 +486 236 3 879874629 +152 21 3 880149253 +457 623 3 882550065 +389 732 4 880087850 +545 181 5 879898644 +99 1132 4 885679319 +109 15 4 880577868 +634 275 3 875728834 +263 588 3 891298273 +454 431 3 888266991 +624 815 3 879793174 +574 1313 4 891278916 +463 147 3 877386047 +537 485 3 886031576 +661 131 3 886841714 +406 8 4 879445562 +655 508 3 887426030 +126 337 5 887938392 +240 353 1 885775959 +279 1486 1 875314076 +606 660 5 880926470 +536 496 5 882359455 +526 293 5 885682477 +560 134 5 879975406 +601 949 2 876351214 +90 10 5 891383987 +637 111 3 882903645 +91 143 4 891439386 +338 1124 4 879438301 +587 887 2 892871310 +621 755 3 874965299 +537 644 5 886031438 +614 410 3 879464437 +13 636 2 882397502 +331 269 5 877196819 +532 510 5 888635197 +355 324 4 879486422 +207 160 2 878191632 +75 56 5 884051921 +299 28 4 877880474 +659 272 4 891044849 +201 511 3 884112201 +634 1048 3 875729668 +130 934 4 876251341 +630 412 1 885667508 +405 201 1 885547176 +514 792 4 875462611 +496 1459 4 876067376 +586 156 4 884064459 +527 96 4 879456611 +374 222 4 880392778 +287 108 4 875334519 +405 1438 1 885546835 +248 283 1 884535157 +606 483 5 880924921 +483 1152 4 893098572 +262 402 4 879795059 +660 473 2 891198996 +224 676 3 888103942 +610 143 5 888703290 +85 230 3 882813248 +339 156 5 891032495 +454 414 2 888267226 +458 121 1 886395022 +602 871 3 888638589 +425 180 4 878738077 +242 1011 3 879740800 +283 433 4 879298333 +416 44 4 886316596 +608 506 4 880406728 +535 205 3 879618464 +579 303 3 880951494 +373 281 3 877103935 +542 501 4 886533562 +493 196 4 884130933 +210 315 5 887731417 +600 233 2 888452071 +396 546 4 884646647 +82 1 4 876311241 +660 97 3 891200406 +343 1140 3 876405943 +660 362 2 891197585 +11 662 3 891904300 +505 164 4 889334189 +6 71 4 883601053 +234 498 5 892078699 +378 245 3 880906161 +365 285 4 891303999 +644 326 5 889076148 +587 288 4 892870992 +648 507 1 884796598 +133 245 3 890588878 +660 1181 1 891200594 +667 234 2 891034730 +666 122 2 880313723 +7 631 4 891352984 +392 310 4 891037490 +58 151 3 884304553 +642 22 4 885602285 +26 111 3 891371437 +458 179 4 886397808 +334 736 3 891548979 +530 191 5 883785574 +536 169 5 882359047 +45 288 3 880996629 +655 533 2 887651114 +634 471 4 875729478 +524 380 2 884637202 +298 604 5 884127720 +565 70 5 891037629 +614 476 3 879464507 +388 773 3 886441083 +553 484 5 879949324 +540 596 4 882157126 +658 1 4 875145614 +667 285 5 891034810 +577 25 4 880470504 +9 371 5 886960055 +207 233 3 877124847 +37 96 4 880915810 +527 429 5 879456611 +427 990 5 879701326 +52 741 4 882922302 +346 520 5 874948105 +334 712 3 891549594 +268 1303 1 875744228 +74 690 4 888333352 +579 428 4 880952335 +624 258 4 879791792 +207 286 2 875504669 +640 952 4 886474538 +104 270 4 888442337 +486 273 3 879874871 +497 118 4 879310621 +479 588 1 879461378 +545 196 4 884133859 +178 1038 2 882823566 +99 975 3 885679472 +549 1047 3 881672700 +439 240 3 882893859 +191 340 4 891560842 +601 472 1 876348177 +459 472 5 879563226 +466 995 5 890284231 +159 326 3 880485345 +619 1314 3 885954341 +303 82 4 879467465 +518 300 3 876822581 +477 282 4 875941948 +592 631 3 882956624 +394 250 4 881130076 +641 59 4 879370259 +664 229 3 876526631 +60 482 4 883326958 +378 977 3 880334305 +650 243 2 891369215 +110 43 3 886988100 +459 174 4 879566291 +234 636 3 892336358 +592 283 4 882956241 +599 595 5 880952144 +666 223 3 880314144 +627 215 1 879529767 +62 463 4 879374916 +214 93 4 892668249 +561 172 2 885807743 +385 320 3 885367060 +487 17 3 883531279 +13 86 1 881515348 +639 70 3 891239862 +290 720 3 880475695 +466 294 3 890282986 +655 27 3 888984478 +196 1241 3 881251642 +527 467 3 879455999 +375 603 4 886621917 +200 118 4 876042299 +393 775 4 889731390 +521 229 2 884478314 +286 739 3 877532683 +286 137 4 884203281 +290 650 2 880475625 +109 508 4 880571629 +411 4 4 892845634 +380 462 4 885478374 +514 178 4 875308925 +661 480 5 876016491 +267 143 4 878973329 +254 465 3 886473078 +144 478 4 888105337 +615 194 5 879449164 +629 117 5 880116963 +659 569 2 891386910 +618 433 2 891309410 +224 356 4 888103840 +202 191 2 879727294 +655 517 4 891585450 +654 546 4 887863885 +399 549 4 882347190 +642 294 5 885601998 +393 755 3 889729831 +22 201 4 878886449 +474 971 4 887924469 +246 411 3 884923715 +193 69 5 889125287 +349 125 4 879466541 +542 47 5 886532855 +343 473 3 876403212 +450 491 3 882373297 +645 200 5 892054906 +667 223 5 891034767 +328 260 2 885044940 +474 12 5 887924683 +500 476 2 883865851 +158 367 4 880134913 +573 162 4 885844007 +429 804 3 882387599 +557 299 4 881095916 +458 183 4 886396460 +260 1243 5 890618729 +484 655 5 891194820 +194 209 3 879521936 +491 7 3 891185298 +535 527 3 879617574 +385 207 4 881530739 +413 471 4 879969642 +668 345 2 890349041 +664 187 5 876524699 +566 127 5 881650219 +621 417 3 874965299 +654 222 5 887863534 +86 338 1 879570277 +637 985 2 882905284 +561 179 4 885807261 +500 514 5 883873941 +90 141 5 891385899 +23 55 4 874785624 +398 432 3 875718670 +495 228 5 888632738 +661 97 4 888299980 +329 11 3 891656237 +664 659 5 876526518 +556 603 5 882136440 +655 628 3 890887261 +650 66 3 891384285 +590 1129 3 879438735 +404 310 4 883790750 +497 1303 2 879311007 +416 471 5 893213645 +368 98 3 889783407 +370 603 5 879435244 +385 430 5 880870206 +33 323 4 891964373 +490 473 2 875428417 +495 64 5 888632496 +353 346 4 891402757 +673 294 4 888787376 +90 134 5 891383204 +474 252 4 887916567 +55 22 5 878176397 +363 660 4 891496588 +514 228 5 875463202 +293 186 2 888906045 +450 185 5 882376365 +500 568 1 883874715 +363 195 4 891495238 +409 343 3 881105677 +620 288 4 889986452 +655 283 3 887425936 +435 214 4 884131741 +567 648 4 882426021 +416 239 5 893212730 +425 310 3 890346411 +264 156 2 886122577 +454 255 4 881959276 +343 657 5 876404464 +650 204 4 891369707 +472 768 5 875982771 +450 448 4 882371526 +579 269 3 880951346 +200 132 5 884130792 +250 222 4 878089547 +648 497 4 884796769 +450 169 5 882371732 +360 654 5 880355715 +417 582 3 879647749 +620 683 3 889986984 +643 87 5 891447663 +496 172 5 876065558 +459 7 5 879563245 +184 40 4 889910326 +653 87 4 878854332 +384 329 3 891273761 +609 304 5 886895436 +154 197 5 879139003 +256 1424 3 882165066 +643 794 3 891450376 +595 1259 3 886921819 +136 124 5 882693489 +519 1591 5 883250102 +271 347 3 885844634 +648 748 3 882211886 +567 60 5 882425966 +184 664 3 889911712 +666 1170 4 880568352 +662 291 2 880570487 +667 301 1 891034513 +90 610 5 891383753 +308 739 4 887739639 +655 36 2 888685955 +222 181 4 877563168 +399 454 3 882510989 +567 135 3 882426837 +654 66 4 887864727 +457 11 4 882397020 +664 118 3 876526604 +18 197 4 880130109 +493 271 1 884129823 +447 367 3 878856232 +453 1016 4 877552991 +459 1190 4 879563169 +631 289 4 888465216 +256 283 3 882150313 +11 646 3 891904389 +574 910 1 891279362 +671 947 3 884035775 +537 23 4 886030738 +405 553 1 885546379 +380 419 3 885479124 +619 288 3 885953931 +648 191 5 884368002 +116 1142 4 876452492 +569 125 3 879794348 +347 595 2 881653244 +62 128 2 879374866 +110 566 4 886988574 +250 95 5 878090499 +553 435 4 879948869 +662 50 3 880570142 +85 513 4 879454350 +500 25 3 883865755 +313 735 3 891014649 +605 318 5 879426144 +535 170 4 879618160 +270 324 2 876954733 +70 404 4 884149622 +669 505 3 891517159 +503 125 3 880390153 +484 313 5 885237934 +648 107 4 882212200 +201 269 3 886013700 +78 288 4 879633467 +409 285 4 881168712 +343 236 5 876402668 +171 346 4 891034835 +593 117 4 875659497 +479 356 3 879461951 +406 638 4 879446684 +379 188 4 892879481 +645 81 4 892055039 +537 268 4 886028647 +286 1502 2 877535499 +632 79 5 879457317 +548 14 1 891043182 +332 122 5 887938886 +661 118 4 876037058 +655 505 3 891735725 +537 427 4 886030831 +648 564 1 884883724 +405 1030 1 885547605 +582 1215 4 882963027 +99 173 4 885680062 +668 231 2 881605433 +217 181 1 889069878 +526 1084 5 885682590 +503 387 4 880383358 +99 210 5 885679705 +204 301 4 892389328 +537 170 3 886031211 +663 956 4 889493732 +429 53 1 882386814 +632 97 4 879458856 +624 285 5 879792557 +457 27 4 882549483 +618 597 4 891309041 +543 936 4 888209568 +401 507 4 891033014 +676 265 5 892686703 +533 12 4 879438543 +585 1485 3 891283124 +643 152 4 891446956 +407 479 4 875045240 +450 1441 3 882397940 +125 401 4 892838656 +217 472 3 889070011 +186 1083 1 879023599 +299 478 4 877880612 +653 1228 2 880153378 +510 258 4 887667465 +472 548 1 875982867 +643 216 4 891448136 +363 1009 2 891497205 +647 631 4 876532425 +268 1073 4 875309304 +663 7 4 889492841 +640 474 4 874777623 +62 723 2 879375738 +42 135 4 881109148 +641 514 4 879370062 +562 89 1 879195819 +660 462 2 891199293 +521 829 2 884476168 +648 685 5 882211924 +416 717 2 876697283 +659 602 4 891385986 +624 108 3 879793198 +586 239 3 884067058 +363 1157 2 891498558 +654 69 4 887864641 +485 319 3 891041485 +339 488 5 891032379 +648 118 4 882212200 +445 203 3 890988205 +291 1220 5 874868382 +328 118 3 885048396 +632 68 1 879459394 +419 100 5 879435722 +595 255 3 886921392 +499 182 2 885599551 +239 46 4 889180487 +487 273 5 883443504 +416 1054 3 876698083 +239 419 3 889178689 +663 117 4 889492390 +145 1023 1 885557545 +658 137 3 875145572 +455 471 4 879109692 +600 586 2 888453083 +425 171 3 890347138 +521 151 3 884476240 +599 815 3 880953441 +267 774 3 878973701 +429 123 4 882386448 +674 127 5 887762799 +450 1153 5 882397223 +450 328 4 886449488 +233 735 5 880610635 +509 302 5 883590443 +601 191 4 876350016 +666 203 4 880139180 +296 304 3 884196149 +44 67 3 878348111 +59 97 5 888205921 +494 222 5 879541375 +393 841 3 887745199 +561 100 4 885807484 +595 762 4 886922069 +77 252 1 884733379 +593 807 4 875672999 +380 708 3 885478759 +393 24 3 889729674 +514 73 4 876067258 +176 117 4 886048305 +233 100 4 877661294 +548 443 4 891044446 +374 322 4 880392482 +504 162 4 887832741 +479 283 4 879460140 +303 1092 1 879544435 +18 482 5 880130582 +637 471 2 882903822 +222 693 4 878184514 +457 181 4 882393384 +574 345 2 891278860 +551 476 5 892784259 +90 447 5 891385389 +1 46 4 876893230 +454 939 2 888267386 +629 317 4 880117430 +559 216 5 891035876 +450 421 4 887834823 +296 289 3 884196351 +94 944 1 891723619 +460 1 2 882911203 +397 192 5 885349610 +557 288 1 884357600 +200 385 5 884129696 +7 417 3 892132652 +595 237 3 886921315 +271 477 3 885847955 +589 538 5 883352494 +389 471 4 879916077 +393 628 4 887744626 +130 67 4 876252064 +606 144 4 880924664 +570 288 2 881262307 +393 477 3 889727833 +327 87 3 887818620 +470 458 4 879178542 +468 178 5 875296401 +535 604 4 879617663 +592 963 5 882955663 +314 106 2 877886584 +551 230 5 892782901 +90 64 4 891383912 +303 402 4 879485250 +606 28 4 880924921 +537 848 3 886030552 +203 258 3 880433368 +634 341 2 890779883 +653 502 2 878866995 +655 707 3 887472671 +44 163 4 878348627 +495 98 5 888632943 +279 591 2 875297381 +637 515 4 882902540 +409 1360 2 881106087 +313 744 3 891016986 +212 246 5 879303571 +503 297 5 879438346 +629 197 5 880117031 +269 661 4 891447773 +448 344 4 891888244 +416 31 5 893212730 +425 573 3 878738914 +592 339 3 882607572 +200 748 3 884125953 +380 258 4 885477742 +178 476 3 882824713 +592 11 5 882955978 +551 431 4 892777583 +344 1082 2 889814622 +417 559 4 879648979 +360 531 4 880355678 +585 1193 5 891282894 +270 213 5 876955067 +323 876 2 878738949 +464 603 5 878355259 +471 50 3 889827757 +305 282 3 886323806 +109 17 4 880582132 +221 1217 4 875247421 +183 380 4 891463592 +194 294 4 879520305 +3 271 3 889237224 +666 182 4 880139526 +501 7 4 883348236 +372 637 4 876869512 +524 504 5 884634877 +495 684 5 888634956 +583 276 4 879384338 +293 273 4 888904901 +615 22 4 879448797 +458 704 2 886397857 +332 450 5 888360508 +405 558 1 885546069 +405 1394 1 885549903 +504 141 3 887909578 +430 181 4 877225484 +188 566 5 875074200 +606 1518 4 880926760 +589 892 4 883352762 +59 106 4 888203959 +116 221 4 876453560 +115 124 5 881170332 +268 173 4 875310031 +666 638 3 880139563 +592 216 4 882955978 +316 515 4 880853654 +81 25 5 876533946 +472 254 4 875978191 +587 749 2 892871223 +350 183 3 882347465 +65 73 4 879217998 +397 199 5 885349790 +349 118 2 879466283 +53 257 4 879443188 +650 182 3 891385775 +308 962 4 887738104 +622 1 3 882590344 +519 330 5 884545961 +553 423 3 879948655 +271 603 4 885848802 +638 515 4 876694704 +628 938 5 880777095 +387 318 3 886479610 +552 412 2 879222583 +535 483 5 879618742 +506 66 4 874874676 +546 222 4 885141260 +488 98 4 891293698 +437 176 2 880143809 +531 288 1 887048686 +457 83 5 882396487 +601 287 1 876348215 +91 204 4 891438909 +447 27 3 878856601 +399 161 3 882344434 +162 403 3 877636713 +144 124 4 888104063 +630 250 1 885666650 +45 597 3 881014070 +664 478 5 878090415 +620 354 5 889986477 +18 411 3 880131986 +435 1215 3 884134810 +608 215 3 880406299 +70 264 4 884063668 +451 333 5 879012550 +655 280 2 888474490 +350 179 5 882347653 +453 975 2 887942451 +269 1073 3 891447169 +620 795 4 889988340 +297 582 4 875238814 +638 230 5 876695259 +576 514 5 886986400 +332 172 5 888098088 +630 191 3 885668090 +399 444 1 882350733 +650 140 2 891389132 +647 117 3 876776321 +488 265 4 891294473 +395 15 3 883765928 +69 298 4 882072998 +268 95 4 875309945 +627 182 4 879529916 +652 323 3 882567100 +437 603 5 880140051 +660 797 2 891201753 +642 826 5 888963032 +437 955 4 881002404 +436 313 5 887768521 +504 310 4 887831273 +537 265 3 886031473 +650 485 3 891385422 +153 325 2 881370935 +474 1113 3 887926059 +194 521 4 879524504 +514 28 5 875311192 +95 1228 3 880572689 +642 996 2 885605932 +393 118 4 887744578 +432 3 3 889416260 +284 754 3 885329065 +436 26 3 887771146 +328 685 4 885047450 +542 410 4 886532971 +526 282 3 885682370 +328 65 4 885046912 +460 127 4 882912150 +85 782 2 879829757 +660 546 2 891198588 +551 693 5 892777943 +504 208 4 887838450 +52 318 5 882922974 +577 560 3 880475363 +60 434 5 883327368 +603 183 4 891957110 +660 17 1 891265453 +405 516 1 885547314 +275 121 3 876197678 +645 434 4 892055389 +646 683 3 888529014 +301 210 4 882076211 +405 849 1 885548049 +625 265 3 892054198 +621 944 5 874963126 +46 100 4 883616134 +23 8 4 874785474 +660 63 2 891201823 +450 182 5 882376585 +113 255 5 875935609 +557 150 3 881179621 +666 183 5 880139180 +331 1017 2 877196235 +234 215 3 892079722 +622 1552 2 882670793 +234 166 5 892079237 +417 849 1 879649632 +677 286 1 889399113 +334 433 5 891628158 +271 177 3 885848373 +334 1426 4 891548647 +425 550 4 878738813 +593 815 3 875659826 +132 1154 3 891278896 +637 410 2 882904148 +293 234 5 888906726 +650 498 4 891369587 +59 503 4 888205855 +429 658 3 882386448 +268 56 4 875309998 +154 324 2 879138287 +106 739 3 881453290 +391 237 4 877399864 +321 32 3 879440716 +189 663 3 893265773 +99 105 2 885679353 +416 187 5 893214128 +455 475 4 879109069 +392 482 5 891038945 +477 1041 5 875941225 +457 197 5 882396705 +373 1066 4 877106233 +450 163 4 882377358 +435 117 3 884131356 +600 11 5 888451665 +619 651 5 885954053 +252 286 5 891455263 +643 282 3 891445230 +668 307 4 881523762 +435 358 4 884130864 +303 583 1 879483901 +457 77 4 882398345 +650 202 3 891372258 +219 4 4 889452481 +600 651 4 888451492 +484 679 2 891195476 +291 933 4 874833936 +608 199 1 880403606 +537 181 2 886031437 +190 121 3 891033773 +535 921 4 879617489 +422 287 3 878199757 +450 83 4 882372027 +500 250 4 883865195 +614 255 5 879464119 +15 925 2 879455764 +606 1039 4 880923690 +601 157 3 876349716 +496 1614 3 876070690 +638 89 4 876694704 +541 235 1 883866049 +524 1166 5 884635031 +577 1271 3 880475581 +387 625 2 886483669 +637 833 1 882905070 +597 225 4 875342875 +417 1011 3 880949438 +617 647 3 883789006 +682 924 5 888517627 +328 77 4 885046977 +628 874 5 880776981 +609 908 1 886895699 +521 475 3 884475889 +655 950 3 887611566 +623 234 4 891034343 +435 394 4 884132873 +606 214 4 880926018 +474 69 5 887924618 +358 1524 5 891269418 +592 100 5 882608182 +567 170 3 882426184 +291 423 4 874868210 +606 432 5 880926339 +200 91 4 884129814 +234 489 3 892079237 +593 220 3 875660274 +535 173 5 879617747 +234 504 4 892078485 +21 185 5 874951658 +613 471 3 891227410 +665 343 3 884292654 +204 146 3 892513979 +456 211 4 881374162 +245 894 1 888513860 +618 190 4 891307404 +235 195 4 889655162 +148 474 5 877019882 +607 180 4 883879556 +293 1286 4 888906844 +92 684 3 875656502 +292 665 3 881103478 +472 834 3 875979685 +622 568 4 882592449 +587 325 5 892871252 +158 231 2 880134532 +70 501 4 884067201 +405 774 1 885548475 +663 11 5 889493628 +343 193 4 876405857 +545 17 3 879899472 +432 117 4 889415853 +379 357 5 881000269 +332 121 5 887916692 +286 569 4 877534313 +276 735 4 874791214 +379 219 3 890464337 +650 435 4 891372286 +577 99 3 880474674 +354 248 4 891216956 +586 155 3 884067874 +414 302 5 884998953 +405 97 2 885545638 +659 258 4 891331825 +606 928 4 880928180 +422 260 3 875129668 +614 279 3 879464287 +478 238 3 889388818 +548 333 4 891042624 +602 50 5 888638460 +102 596 2 883748352 +549 515 5 881672276 +194 276 3 879539127 +500 274 3 883865807 +363 50 5 891495168 +38 452 5 892434523 +336 710 4 877757700 +406 504 4 879445859 +622 542 2 882671346 +92 274 4 876175626 +608 568 5 880406032 +58 249 4 892242272 +666 4 5 880314477 +249 96 4 879572600 +655 611 3 887475345 +423 340 4 891394504 +667 435 3 891035104 +653 1620 2 886052291 +407 183 4 875046799 +479 479 4 879461378 +503 210 5 880383703 +591 94 3 891031603 +496 1139 2 876073882 +606 709 5 880927417 +496 825 3 876065015 +380 1039 3 885481179 +664 1090 1 876526739 +618 132 4 891307057 +543 471 3 875657863 +527 93 4 879456078 +654 278 3 887863757 +94 501 4 891721642 +437 28 3 880140534 +246 1089 1 884924710 +506 539 4 884517135 +181 412 2 878963122 +344 96 4 889814195 +385 235 5 879440940 +81 596 3 876533824 +13 736 4 882399528 +268 802 3 875744388 +664 7 3 878091393 +106 14 4 881449486 +629 11 2 880116789 +393 1181 3 889731064 +655 210 3 888474646 +207 521 4 878191679 +474 1421 4 887928562 +535 133 5 879618019 +357 685 3 878951616 +43 174 4 875975687 +457 402 4 882548583 +659 96 4 891384552 +585 923 5 891282808 +543 44 3 874865728 +130 398 3 878537516 +587 892 3 892871462 +291 393 3 875086235 +230 223 5 880484415 +467 742 2 879532671 +533 685 4 887032380 +577 44 3 880474934 +469 64 5 879523802 +13 865 5 882141425 +151 265 5 879542566 +519 266 5 883248595 +393 105 3 887745544 +579 173 5 880951765 +405 853 1 885547124 +640 195 4 874778515 +334 155 2 891549927 +135 321 4 879857575 +587 342 1 892871503 +453 364 3 888206676 +246 748 1 884924441 +125 393 4 879455241 +97 603 4 884238817 +629 991 1 880115923 +663 603 4 889493540 +515 750 2 887658782 +430 462 3 877226164 +504 69 4 887837918 +67 1052 3 875379419 +660 313 4 891197481 +342 412 3 875318648 +655 576 2 888893313 +650 127 2 891369520 +303 150 5 879467190 +59 474 5 888204430 +639 692 3 891239550 +606 132 5 880923925 +544 749 4 884795471 +381 303 3 892697999 +551 979 4 892784479 +468 157 4 875294741 +447 1048 2 878854579 +293 129 3 888904814 +552 411 3 879222002 +437 180 4 880139868 +479 328 4 879459611 +296 186 3 884199624 +486 255 3 879874692 +592 331 3 882607528 +577 87 5 880474216 +417 399 3 879648898 +345 125 3 884991191 +459 969 3 879564882 +59 672 5 888206015 +43 12 5 883955048 +650 674 4 891386778 +502 680 3 883702255 +287 476 1 875334340 +28 322 2 881955343 +542 70 4 886532788 +85 419 5 882819427 +334 494 4 891547235 +13 656 5 882139746 +533 186 3 879438850 +513 405 3 885062559 +551 3 5 892784093 +655 1319 3 887426373 +417 63 3 879649021 +682 735 4 888517627 +660 432 4 891199104 +411 73 4 892845634 +503 216 5 880383357 +624 924 4 879792493 +669 537 3 891517159 +649 275 2 891440412 +608 658 3 880408150 +666 492 4 880139252 +616 299 3 891224801 +429 1 3 882385785 +621 41 4 874963273 +610 294 1 888702795 +614 122 3 879465320 +637 544 3 882903914 +457 540 3 882551740 +669 462 5 892550137 +627 586 3 879531557 +653 409 2 880153406 +497 248 4 879309673 +86 269 4 879569486 +178 124 4 882823758 +574 289 4 891279285 +599 535 4 880952267 +13 411 2 882141924 +479 188 2 879461545 +18 427 5 880129421 +403 477 4 879786165 +682 623 3 888523288 +144 405 4 888104419 +624 534 3 879792358 +288 173 3 886373474 +435 1225 3 884131597 +184 165 4 889911178 +319 332 4 876280289 +569 276 4 879793493 +407 255 4 884197052 +73 1 2 888626065 +514 19 4 875463128 +561 520 4 885807318 +267 186 5 878972071 +411 58 3 892845804 +494 479 3 879541207 +303 23 5 879467936 +474 699 4 887927457 +605 483 5 879425432 +664 732 3 876525315 +295 497 5 879519556 +472 343 5 892790628 +610 427 5 888703730 +633 183 4 875325577 +405 23 5 885545372 +546 349 4 885141260 +463 952 1 890453075 +374 619 3 880393553 +537 65 3 886030767 +116 355 2 887605347 +90 654 5 891384357 +528 178 4 886101695 +478 340 5 889398260 +145 284 4 888398104 +305 1485 3 886323902 +56 153 4 892911144 +642 80 5 885606557 +551 455 1 892783525 +153 181 1 881371140 +350 195 5 882347832 +287 710 4 875334807 +407 449 2 876344772 +298 153 3 884127369 +194 1091 3 879528568 +640 578 3 874778612 +588 172 5 890026459 +265 117 5 875320332 +577 651 5 880475043 +442 240 2 883388833 +625 248 4 891629673 +407 657 4 875553625 +655 252 2 888474490 +528 484 3 886101695 +308 321 3 887736408 +664 514 5 876526179 +165 260 3 879525673 +627 458 3 879530824 +659 419 5 891331916 +496 158 2 876069951 +537 317 3 886031786 +49 501 3 888066979 +653 1012 4 878854852 +537 525 3 886030891 +620 895 3 889986984 +548 1025 4 891043278 +313 503 5 891014697 +184 235 2 889907862 +196 1007 4 881251601 +537 512 3 886031438 +277 471 3 879543377 +422 452 3 879744183 +391 772 2 877399030 +617 185 5 883789042 +59 313 5 888202532 +332 77 4 888360343 +640 357 5 874778274 +618 71 4 891309041 +489 875 2 891449465 +552 291 2 879222661 +457 304 4 882392853 +566 483 4 881649357 +661 527 4 876035679 +232 170 5 888549929 +486 277 3 879874418 +682 215 4 888517197 +189 214 1 893266326 +641 83 4 879370119 +537 959 3 886032154 +664 466 4 876526519 +110 385 3 886988574 +23 479 5 874785728 +621 393 3 874962705 +314 151 4 877886522 +303 72 3 879485111 +378 715 4 889665232 +70 225 3 884148916 +466 326 3 890282925 +49 1079 1 888069165 +587 938 2 892871141 +682 265 3 888520922 +506 380 4 874874585 +655 1208 3 887430746 +13 568 3 882140552 +109 186 3 880572786 +326 180 1 879875457 +648 429 4 884368130 +682 325 4 888521174 +605 462 5 881016176 +587 902 2 892871584 +83 298 4 891181511 +436 785 2 887770731 +373 431 5 877098643 +591 238 5 891031228 +92 227 1 875654846 +522 179 5 876961190 +311 192 3 884366528 +541 50 5 884046910 +656 750 2 892318648 +144 55 4 888105254 +82 539 3 884713704 +188 294 2 875071249 +474 70 4 887928498 +588 318 4 890015435 +174 401 1 886515063 +442 449 2 883390739 +278 923 5 891295330 +666 206 4 880139669 +295 382 5 879519556 +495 1046 5 888636837 +476 83 3 883364143 +376 321 3 879433164 +188 742 5 875073909 +234 923 4 892078741 +199 323 3 883782655 +564 312 3 888718443 +595 678 1 886920819 +346 739 3 874950316 +385 428 3 879442706 +380 744 3 885480144 +1 169 5 878543541 +591 86 5 891031171 +514 214 5 875318163 +303 501 4 879484981 +159 364 1 884026964 +661 313 4 886829961 +627 732 3 879530568 +679 520 4 884487031 +291 456 3 874834165 +299 81 4 889504036 +298 484 4 884182627 +303 597 1 879485204 +97 195 5 884238966 +521 746 4 884478152 +655 1007 3 891585504 +308 153 5 887737484 +10 693 4 877886783 +311 1050 3 884365485 +474 60 3 887925620 +297 746 3 875239569 +346 55 5 874948639 +405 1570 1 885549544 +481 50 4 885827974 +373 169 5 877099016 +127 901 5 884363990 +212 645 3 879303795 +234 277 3 892334680 +351 310 5 879481386 +489 326 4 891362773 +290 174 5 880473891 +125 186 3 879454448 +342 378 4 875319617 +344 127 5 889814518 +608 98 5 880403855 +487 191 4 883446027 +300 264 1 875650132 +493 693 4 884132129 +451 880 1 879012773 +514 258 4 875308674 +630 477 4 885667200 +465 258 5 883529482 +122 135 4 879270327 +121 282 1 891389037 +411 229 3 891035362 +640 1016 3 886474538 +452 780 1 885476356 +373 95 5 877099263 +135 324 3 879857575 +586 200 4 884060941 +543 566 4 877545605 +130 1210 2 880396831 +523 25 4 883702054 +663 274 3 889493182 +381 640 5 892696168 +660 826 3 891198762 +474 604 4 887926059 +660 98 4 891199348 +87 1188 2 879876110 +489 752 5 891448109 +657 1009 4 884240629 +654 257 4 887863802 +136 9 5 882693429 +567 268 4 882426327 +308 603 5 887736743 +583 175 5 879384471 +559 187 3 891033911 +301 735 2 882077871 +533 333 4 886425803 +239 1098 5 889180487 +653 737 1 880151839 +601 58 1 876350400 +665 177 3 884294374 +301 742 4 882074437 +663 471 3 889492841 +532 26 3 888629359 +432 257 5 889416118 +478 231 1 889398598 +429 385 3 882386915 +252 290 3 891456877 +393 1168 3 889729346 +625 195 4 891262983 +43 491 4 883954997 +536 56 3 882360405 +405 697 1 885545883 +581 100 5 879641603 +627 117 3 879531248 +668 258 2 881523929 +537 307 3 886028791 +257 1022 2 879547764 +660 249 2 891198109 +545 729 3 884134114 +582 410 3 882961481 +290 121 4 880475266 +387 187 4 886483049 +587 338 4 892871462 +295 790 3 879519265 +257 313 5 884151683 +666 179 5 880139323 +521 235 3 884476221 +38 202 2 892431665 +145 352 4 885556043 +293 17 2 888907335 +94 250 4 891724257 +244 235 1 880604910 +263 180 4 891297921 +435 890 1 884130883 +597 713 2 875340010 +354 308 4 891180569 +158 455 4 880132772 +18 23 4 880130065 +659 855 2 891386576 +457 200 5 882396799 +605 191 5 879426212 +380 629 2 885478497 +271 381 3 885849536 +255 930 1 883216958 +388 288 5 886439506 +58 655 5 884304865 +642 1029 3 885606271 +598 750 5 886711452 +659 161 3 891386492 +421 50 5 892241294 +648 122 1 882212609 +264 525 5 886122508 +62 521 5 879374706 +389 66 3 880088401 +498 160 5 881958174 +559 163 4 891035840 +268 636 3 875744174 +447 1142 5 878854481 +161 428 3 891171023 +255 222 3 883216845 +537 468 2 886032029 +620 300 3 889986411 +389 300 3 879990863 +63 325 2 875747047 +537 202 3 886031540 +660 101 3 891201243 +567 604 4 882426508 +660 1178 1 891265453 +625 222 4 891273543 +671 250 5 875389187 +682 68 5 888522575 +524 81 1 884636262 +650 484 5 891372365 +618 192 5 891307367 +541 476 5 883866007 +632 470 4 879459677 +660 7 3 891198203 +421 219 3 892241687 +148 181 5 877399135 +534 756 4 877808175 +387 1129 4 886480623 +334 20 4 891544867 +450 187 5 882373597 +221 27 4 875247754 +256 679 3 882164525 +11 717 2 891902815 +505 496 5 889333534 +288 134 2 886374129 +613 64 5 891227204 +305 196 4 886324097 +592 81 4 882956201 +207 357 5 878191679 +452 603 4 887718667 +327 658 2 887747668 +605 340 4 879365132 +476 999 2 883365385 +559 519 5 891034004 +94 196 4 891721462 +457 756 2 882395742 +445 273 2 891199869 +640 12 5 874777491 +673 288 4 888787423 +539 22 3 879788195 +276 1267 4 874791102 +632 746 3 879459481 +406 524 4 879446361 +472 183 5 875980376 +343 65 5 876405172 +206 346 5 888179981 +160 461 5 876857977 +684 64 4 878759907 +163 357 4 891220097 +669 169 3 891517159 +606 68 5 880927127 +588 934 4 890030736 +627 86 3 879530263 +301 97 4 882076121 +63 480 3 875748245 +640 201 4 874778240 +588 531 3 890015722 +385 919 4 879440158 +347 100 3 881652417 +344 1137 3 884899339 +77 25 2 884733055 +634 293 3 877018347 +493 404 4 884132351 +305 165 4 886323153 +466 79 3 890284706 +161 272 5 891170514 +454 211 2 888267158 +546 185 4 885141360 +436 660 4 887771825 +350 173 4 882347465 +479 258 5 879459552 +5 398 2 875636167 +492 657 3 879969345 +301 340 4 882075432 +682 352 1 888518424 +485 303 4 891040688 +542 531 4 886533452 +634 100 4 875728834 +262 411 2 879791130 +488 776 4 891294298 +488 890 1 891293478 +666 831 2 880313841 +554 939 4 876550342 +326 1 3 879876159 +518 1335 3 876823018 +437 588 3 881002092 +542 192 5 886533421 +407 177 4 887833034 +416 86 1 886316439 +503 729 3 880472454 +216 216 4 883981877 +643 89 3 891448630 +406 143 1 879445935 +169 321 3 891268777 +130 538 5 884623983 +286 184 3 877534506 +380 170 4 885478192 +597 50 5 875339876 +95 102 4 880572474 +267 47 5 878972369 +577 132 4 880472153 +591 516 3 891031469 +537 489 3 886030738 +655 1351 3 888984539 +326 441 2 879877433 +156 510 4 888186093 +229 896 4 891633029 +600 761 4 888451977 +566 384 3 881651360 +537 727 2 886032245 +311 735 4 884366637 +637 1344 4 882901356 +313 748 3 891012934 +417 122 2 879646838 +665 684 3 884294286 +528 588 2 886101736 +198 581 3 884209504 +360 25 4 880355209 +568 504 3 877907596 +450 661 3 882373231 +459 164 4 879564941 +279 176 3 875310606 +620 993 5 889987954 +492 531 4 879969539 +115 137 5 881169776 +178 679 4 882826944 +151 97 5 879528801 +466 273 4 890284857 +276 1109 3 882659656 +385 417 2 879447671 +178 144 4 882825768 +643 70 3 892502414 +685 269 3 879451401 +665 1040 4 884291550 +166 347 5 886397562 +579 56 3 880952360 +401 477 1 891034050 +6 168 4 883602865 +405 808 1 885546487 +109 202 5 880578632 +532 915 4 891909850 +600 62 4 888452151 +94 302 4 891928684 +342 531 3 874984175 +568 659 3 877907050 +665 346 2 884289897 +70 135 4 884065387 +107 259 2 891264630 +506 972 3 874874760 +341 872 4 890757841 +21 573 2 874951898 +606 172 5 880924322 +436 655 5 887769233 +642 142 4 886569380 +500 15 2 883865129 +374 558 1 882158738 +552 926 2 879222698 +94 1012 4 891724100 +505 526 5 889333823 +662 591 4 880570112 +653 388 2 880153705 +541 234 5 883874433 +495 157 5 888635294 +538 258 3 877095640 +435 68 4 884131901 +334 887 5 891544491 +608 144 4 880405659 +662 286 3 880569465 +538 187 5 877107840 +222 158 3 878184171 +50 544 4 877052937 +7 634 5 891351287 +673 269 4 888786942 +503 485 4 880472383 +551 5 4 892783314 +450 471 4 882396153 +542 175 3 886532762 +184 185 4 889908843 +349 1028 2 879466200 +506 731 4 874873374 +600 89 5 888451492 +682 92 5 888519059 +347 689 4 881652250 +532 364 3 874791976 +655 1046 3 887430779 +411 117 2 891035761 +332 406 3 887938601 +655 1169 3 887427210 +112 272 5 886398204 +181 1173 1 878962052 +515 328 2 887660131 +500 393 3 883875793 +600 540 3 888453083 +418 895 4 891282595 +395 196 4 883764378 +504 479 4 887832571 +630 257 3 885667037 +200 509 4 884129602 +462 11 5 886365498 +487 160 4 884041685 +214 508 4 891543157 +606 225 1 880923349 +543 855 4 875663543 +551 332 4 892775547 +474 601 5 887927509 +529 886 4 882535353 +380 9 3 885479301 +405 783 2 885547645 +474 289 3 887914906 +49 1074 2 888069165 +536 283 3 882318369 +591 48 4 891031286 +629 509 5 880116818 +533 100 5 882902988 +174 871 1 886434166 +676 520 4 892686758 +207 655 4 877878342 +610 331 3 888702764 +64 101 2 889740225 +380 194 4 885478799 +374 66 3 880394571 +94 1211 5 891722458 +284 310 3 885328991 +588 597 4 890026543 +639 512 2 891239759 +489 325 5 891445439 +592 461 4 882955765 +460 458 2 882911603 +354 533 5 891216805 +546 100 3 885140706 +621 172 5 874965407 +417 827 2 879646860 +125 376 3 892838510 +200 462 4 884128858 +314 470 3 877889770 +683 1483 3 893286346 +193 177 4 890860290 +510 300 5 887667439 +269 762 1 891446662 +577 1033 4 880471170 +220 258 3 881197771 +56 473 2 892683323 +617 767 3 883789747 +429 68 3 882385963 +276 455 4 874786713 +380 270 3 885481179 +524 52 4 884636453 +682 351 4 888518468 +16 98 5 877718107 +621 222 4 880736904 +653 395 1 880153674 +443 340 5 883504748 +334 181 4 891544904 +429 82 4 882386121 +691 603 5 875543191 +342 692 1 875319090 +94 418 3 891721317 +684 147 2 878232961 +595 508 5 886921199 +654 746 3 887864204 +561 724 3 885808867 +432 864 2 889416657 +334 675 4 891547148 +634 14 3 875728783 +524 55 2 884634911 +659 77 4 891386680 +543 4 4 875658853 +503 50 5 879438161 +436 628 5 887770457 +537 299 2 886028791 +363 95 3 891496694 +338 197 5 879438473 +682 1303 2 888522699 +626 294 3 878771243 +585 1021 3 891283681 +561 684 3 885808867 +653 1206 3 880152377 +665 476 4 884291133 +460 307 4 882912418 +655 1395 3 887768594 +660 402 3 891201380 +299 531 3 877880350 +458 589 4 886396140 +577 829 3 880470884 +684 38 3 878759635 +460 1251 3 882912285 +82 7 3 876311217 +269 1110 2 891450385 +550 50 5 883425283 +654 1035 4 887864697 +163 28 3 891220019 +668 554 3 881702723 +11 125 4 891903108 +519 325 1 883248535 +487 955 5 884024462 +372 288 5 876869066 +561 216 3 885807173 +299 274 3 877878339 +621 257 5 880738699 +52 25 5 882922562 +483 195 3 878954753 +610 288 3 888702795 +539 285 4 879788623 +294 151 5 877819761 +648 28 5 884628437 +85 121 2 879453167 +650 581 2 891370155 +624 1047 3 879793436 +552 988 3 879220650 +49 25 2 888068791 +566 673 4 881649775 +537 718 4 886029771 +499 357 5 885599372 +430 276 1 877225753 +634 235 3 875729825 +499 271 3 882995586 +541 142 5 883874778 +624 237 4 879793174 +18 614 4 880130861 +139 302 3 879537844 +331 304 5 877196820 +198 153 4 884207858 +378 479 4 880055564 +437 702 1 880141335 +661 178 4 876013492 +647 490 4 876532145 +629 7 2 880117635 +360 523 3 880356240 +352 653 3 884290428 +276 328 4 874786366 +352 144 5 884290328 +643 223 4 891447696 +622 144 5 882592103 +605 879 3 879365417 +271 205 5 885848343 +487 686 4 884044329 +345 287 4 884991670 +639 98 4 891240643 +618 655 4 891309887 +314 1469 4 877889103 +327 845 3 887818957 +625 183 3 892000438 +531 302 5 887048686 +369 316 5 889428641 +524 65 4 884636646 +586 233 4 884062405 +345 69 4 884992755 +632 480 5 879459739 +7 641 5 892135346 +433 919 5 880585923 +472 577 3 875982680 +386 982 3 877655195 +541 88 3 883865738 +459 678 4 879561783 +577 56 3 880474934 +459 301 2 879561574 +115 654 5 881171409 +498 448 4 882205321 +617 519 3 883789105 +521 121 2 884475889 +296 221 5 884196524 +60 675 4 883326995 +626 328 1 878771505 +502 895 4 883702370 +622 82 3 882670767 +655 1418 4 888474646 +83 409 4 880307417 +595 1312 3 886921787 +2 311 5 888552084 +536 172 5 882359539 +13 224 4 882140166 +666 202 5 880139493 +561 240 1 885810726 +463 126 4 877385531 +451 286 1 879012343 +5 204 4 875636675 +618 1058 3 891309114 +363 227 4 891498135 +375 1217 4 886622131 +407 132 4 875043800 +644 307 4 889076031 +100 1233 3 891375112 +683 248 4 893286603 +580 471 3 884125018 +391 100 4 877399805 +607 121 2 883879811 +271 69 4 885848559 +654 1285 4 887864998 +601 842 1 876351171 +682 1118 3 888521711 +617 184 1 883789464 +458 126 4 886394730 +515 302 3 887658604 +624 881 3 879792132 +631 313 4 888464915 +458 750 5 889323771 +11 738 3 891905324 +314 742 4 877886221 +496 143 3 876067146 +526 342 2 885682295 +592 257 4 882608107 +291 67 4 875086308 +358 1149 3 891270043 +41 97 3 890687665 +445 333 2 890987410 +650 637 3 891387353 +42 462 2 881108093 +641 124 4 879370299 +674 405 4 887762861 +618 318 5 891307825 +655 134 4 887431976 +533 211 4 879191972 +200 924 5 876042368 +174 623 3 886515532 +632 131 4 879458941 +551 157 4 892782765 +567 168 5 882425736 +138 602 4 879024382 +406 505 4 879540515 +548 460 4 891416122 +493 876 1 884129923 +407 143 4 875117053 +234 418 3 892079373 +85 504 4 879453748 +18 178 3 880129628 +537 990 2 886029153 +279 763 3 875297522 +256 319 2 882150053 +614 405 2 879464525 +327 98 4 887746196 +360 933 3 880354408 +200 443 5 884129468 +353 315 4 891402757 +456 763 4 881372015 +299 213 5 878192555 +629 1119 5 880116756 +259 298 4 874724754 +350 271 3 882347466 +73 175 5 888625785 +623 66 4 891034993 +661 443 4 876035933 +624 1017 3 879792322 +659 144 4 891384499 +209 271 2 883589607 +280 609 4 891701278 +92 436 4 875654534 +533 1041 2 879192069 +591 116 4 891039616 +479 172 4 879461084 +84 87 5 883453587 +308 613 4 887738620 +672 127 4 879787729 +524 568 4 884636152 +692 56 3 876953204 +573 275 4 885843596 +459 1051 3 879563667 +504 942 4 887841136 +625 584 3 891636000 +588 217 4 890030473 +601 12 3 876348947 +473 256 4 878157648 +279 625 3 878261977 +577 939 5 880474933 +580 405 2 884126077 +314 496 4 877888060 +275 625 2 875154655 +474 617 3 887925620 +437 161 2 880140288 +592 320 5 882955735 +313 683 3 891030792 +269 629 2 891451396 +535 52 4 879618091 +542 237 4 886532238 +13 367 3 882141458 +13 33 5 882397581 +561 243 1 885807010 +624 249 3 879793380 +650 507 4 891371153 +378 5 3 880332609 +551 313 4 892775389 +171 354 3 891034606 +435 577 3 884133973 +426 511 4 879441978 +546 7 5 885140689 +660 710 3 891199942 +590 744 4 879438769 +458 980 5 886394667 +342 965 4 875319195 +453 93 2 887941962 +426 654 5 879442785 +134 315 3 891732122 +570 324 2 881262437 +145 173 5 875272604 +650 77 3 891370093 +370 181 4 879434832 +330 1 5 876544432 +160 825 2 876767299 +346 127 5 874947747 +553 617 4 879949042 +679 174 3 884486837 +503 280 1 892667653 +128 465 4 879968008 +599 756 5 880952037 +184 451 4 889909914 +654 313 5 887862952 +6 303 3 883268321 +57 496 4 883698362 +236 191 4 890116335 +294 111 4 877819999 +115 479 5 881171825 +457 1037 2 882551818 +311 623 2 884366112 +661 436 4 876036043 +421 144 5 892241624 +532 1207 2 874790439 +666 792 4 880568694 +121 300 3 891387810 +378 86 4 880045935 +508 23 4 883767361 +666 301 4 880138999 +585 510 5 891284016 +148 56 5 877398212 +21 978 1 874951483 +545 257 5 879898678 +424 310 3 880858829 +234 496 4 892079190 +640 336 3 886353894 +207 92 2 875509346 +682 780 3 888522217 +671 385 5 884035892 +639 664 2 891239324 +350 168 5 882346847 +488 692 4 891294707 +354 582 4 891217897 +663 544 4 889492841 +314 747 1 877889698 +690 384 3 881177804 +13 684 5 882397271 +630 1047 4 885667200 +506 203 4 874874152 +194 474 4 879521396 +587 687 1 892871683 +537 955 4 886031149 +622 56 5 882592103 +442 174 4 883389776 +552 147 3 879222412 +690 364 3 881178026 +537 530 4 886030768 +521 50 4 884475799 +263 482 4 891298976 +236 207 3 890116221 +550 748 4 883425365 +390 845 2 879694232 +62 597 2 879373254 +673 344 5 888787376 +178 724 4 882827433 +328 1217 3 885049790 +161 1117 3 891172402 +70 597 3 884148999 +181 323 2 878961304 +567 299 4 882426350 +655 1045 3 887427473 +474 605 3 887927670 +554 678 3 876231229 +664 168 4 878090705 +148 549 3 877398385 +268 159 2 875745350 +387 446 2 886481800 +246 404 3 884922434 +48 194 4 879434819 +256 1208 3 882164927 +429 23 4 882385243 +234 436 3 892334765 +405 1232 1 885546681 +405 679 1 885547997 +588 118 3 890026210 +660 24 3 891198277 +505 172 3 889334129 +268 479 4 875310463 +643 208 5 891448136 +392 312 4 891037561 +666 174 3 880139586 +573 713 4 885843817 +689 273 3 876676165 +690 218 5 881179906 +665 65 4 884293523 +466 231 1 890285159 +639 387 3 891239380 +184 707 4 889908873 +87 195 5 879875736 +406 610 1 879446228 +461 319 3 885355778 +592 367 4 882956510 +60 227 4 883326784 +364 990 4 875931478 +314 655 4 877887605 +7 540 3 892132972 +416 431 4 886316164 +527 238 5 879456405 +663 47 4 889493576 +518 1040 3 876823541 +271 498 5 885848672 +497 418 3 879310021 +345 4 4 884993619 +363 90 5 891498183 +201 556 4 884111397 +268 559 2 875744556 +586 742 3 884057578 +686 28 4 879546147 +624 628 4 879793198 +450 239 5 882373865 +453 871 1 888206233 +281 301 3 881200643 +653 98 2 878854633 +11 332 5 891901769 +665 328 4 884290055 +527 60 4 879456132 +634 258 4 884980585 +627 273 4 879531196 +452 423 5 885544110 +615 529 5 879448036 +472 12 5 892791017 +537 923 3 886031342 +655 32 4 887426900 +558 253 5 879436396 +514 186 4 875463028 +606 150 4 878143246 +92 51 4 875812305 +296 480 5 884197068 +527 962 3 879456312 +592 702 4 882956510 +274 628 4 878945505 +532 508 4 888636373 +340 428 1 884991618 +399 506 3 882344406 +507 298 5 889965997 +439 7 4 882893245 +315 642 5 879821267 +435 152 4 884132072 +178 1258 4 882823930 +171 303 4 891034801 +665 588 4 884294772 +396 9 4 884646401 +178 625 3 884837073 +264 637 4 886122446 +452 48 5 885816769 +153 357 5 881371059 +302 748 1 879436739 +618 216 3 891308791 +496 53 3 876070655 +590 475 4 879439645 +655 525 2 892333973 +455 127 5 879111586 +40 876 3 889041694 +299 202 4 889501325 +554 11 4 876233069 +682 655 5 888519725 +616 678 2 891224718 +527 655 3 879456464 +348 243 3 886522740 +457 412 2 882396217 +451 259 4 879012721 +458 588 5 886396460 +480 96 4 891208623 +385 93 3 880682080 +541 877 1 884046888 +537 147 2 886030012 +210 763 2 887730750 +655 962 5 887473674 +667 651 5 891034767 +592 751 3 882955258 +295 216 5 879517580 +1 41 2 876892818 +508 474 5 883777430 +393 636 3 889729508 +674 294 4 887762296 +213 106 4 878870904 +478 1270 1 889396212 +22 568 4 878887810 +645 55 3 892053748 +128 684 4 879969390 +586 144 4 884059287 +329 879 2 891655515 +454 614 3 888267590 +441 294 4 891035211 +361 207 4 879440545 +532 330 4 888636373 +66 763 4 883602094 +378 53 3 880333695 +1 162 4 878542420 +389 238 5 879991387 +181 1326 1 878963342 +450 497 5 882374422 +693 181 3 875483881 +70 174 5 884065782 +201 286 2 884110702 +106 244 4 883877094 +546 457 1 885139608 +668 294 3 890349076 +551 176 4 892776876 +648 184 5 884368643 +660 846 2 891198174 +11 715 3 891904764 +31 136 5 881548030 +363 173 5 891494658 +311 282 5 884963228 +276 51 3 874791025 +668 403 4 881605433 +552 125 3 879222484 +184 213 5 889909045 +551 180 5 892777052 +586 358 4 884069523 +625 528 3 891961633 +639 168 1 891240678 +346 120 3 875264287 +621 722 4 881444887 +151 507 5 879524394 +500 619 3 883865341 +686 98 5 879546651 +563 237 5 880506666 +653 685 3 878854769 +334 81 4 891546299 +592 144 5 882956668 +682 509 2 888517235 +334 462 4 891628832 +65 98 4 879218418 +49 240 3 888067031 +193 218 4 889126705 +653 7 2 878866951 +535 56 3 879617613 +425 231 3 878738435 +686 474 5 879545413 +614 472 3 879464416 +371 181 3 877486953 +409 493 4 881108364 +279 203 2 875310676 +101 926 3 877136628 +642 44 3 885603870 +669 898 1 891182812 +222 619 4 877563953 +429 527 5 882387757 +516 250 4 891290565 +436 95 4 887770037 +624 919 4 879792581 +654 128 5 887865053 +119 405 4 874775815 +454 69 4 881959818 +643 262 3 892502480 +481 430 4 885829196 +110 272 4 886987145 +397 611 5 885349562 +608 76 4 880408115 +321 286 4 879438932 +406 237 1 879540078 +188 162 4 875072972 +429 921 2 882385962 +618 559 3 891309382 +38 155 5 892432090 +682 1045 3 888517792 +254 69 5 886471959 +463 224 3 877385181 +46 305 5 883614766 +650 629 3 891387398 +426 427 5 879442737 +629 566 5 880117395 +474 14 5 887915306 +685 286 1 879447443 +666 1098 4 880314384 +472 121 5 875978600 +650 196 4 891370998 +591 466 3 891031116 +590 255 1 879439374 +406 220 3 879540388 +173 299 4 877556926 +627 214 3 879530408 +89 50 5 879461219 +152 8 5 882829050 +559 1141 2 891034316 +80 531 4 887401430 +652 259 2 882567058 +158 226 3 880134675 +671 204 5 884204510 +211 1025 3 879461394 +537 209 4 886030966 +655 782 3 887650483 +473 321 2 878156950 +566 529 4 881649358 +411 318 4 892845712 +647 222 4 876534274 +307 62 3 881966033 +495 444 3 888636958 +586 33 5 884061807 +279 976 3 877756631 +530 183 4 883790882 +586 849 3 884062742 +666 258 4 880138999 +643 249 3 891446323 +455 9 4 878585685 +222 219 4 878184675 +566 97 3 881650090 +102 328 2 883277645 +561 234 3 885808824 +436 974 5 887771997 +665 7 4 884290635 +445 9 2 891199655 +665 1283 3 884292654 +489 1612 5 891446623 +606 83 5 880925289 +457 417 4 882549575 +605 255 2 879510904 +381 514 5 892697394 +221 576 3 875246824 +181 6 1 878962866 +169 499 3 891359354 +367 302 5 876689364 +565 30 5 891037499 +533 107 3 879773606 +639 202 2 891239581 +18 489 4 880129769 +6 472 1 883600003 +293 200 4 888906655 +389 99 5 880087832 +303 171 4 879467105 +487 333 3 883440491 +339 449 3 891036316 +291 124 5 874834481 +682 164 3 888521005 +181 1084 2 878962550 +472 41 4 875982511 +538 173 3 877107914 +619 825 2 885953850 +312 172 4 891699677 +45 257 5 881008781 +608 607 5 880405395 +673 303 5 888787376 +297 750 5 888643345 +688 288 5 884153712 +21 637 4 874951695 +378 42 4 880046256 +435 258 4 884130647 +224 193 4 888082552 +586 720 4 884062742 +95 960 2 888954129 +429 708 3 882386895 +634 7 4 875729069 +385 58 4 879441881 +25 404 3 885852920 +1 110 1 878542845 +13 650 2 882140425 +344 864 3 884900454 +342 93 4 874984684 +416 333 4 876696788 +524 197 4 884637347 +405 642 1 885548579 +661 727 4 888300194 +457 452 3 882551228 +2 269 4 888550774 +29 264 3 882820897 +403 106 2 879786084 +618 720 3 891309293 +160 285 4 876767660 +450 264 3 882370581 +600 562 3 888452564 +648 216 4 882213596 +334 116 4 891545044 +405 37 1 885548384 +44 298 2 883612726 +11 367 3 891905058 +268 70 3 875309282 +666 199 5 880314253 +325 58 3 891478333 +429 237 3 882384526 +406 747 2 879446108 +606 89 5 880927358 +619 313 5 885953601 +400 301 4 885676411 +663 286 3 889491515 +346 240 1 874948929 +648 523 3 884628644 +450 966 4 882377861 +604 5 2 883668261 +629 50 5 880117395 +14 302 5 890880970 +537 455 1 886030317 +279 137 4 886014686 +629 709 3 880117062 +207 411 3 877750701 +569 9 5 879793493 +661 425 4 886841714 +398 211 4 875717407 +684 553 4 878760305 +243 22 3 879988104 +21 817 3 874951695 +95 95 3 879198109 +690 25 3 881177430 +276 160 4 874787441 +584 82 3 885778458 +581 813 5 879641603 +537 1101 3 886031720 +551 76 4 892778202 +373 727 4 877098784 +554 58 4 876549808 +207 317 4 875506634 +305 845 3 886323335 +7 73 3 892133154 +299 48 4 877880612 +407 96 3 875042569 +178 77 4 882827947 +655 159 3 887477216 +617 607 4 883789212 +194 542 3 879551849 +102 273 3 888801465 +650 227 2 891369836 +232 655 4 888549721 +159 876 2 893255905 +503 1317 4 879438874 +697 294 4 882621569 +439 591 4 882892818 +280 486 5 891700751 +432 471 3 889416229 +618 66 4 891309697 +262 427 4 879791999 +608 693 3 880405927 +608 132 2 880403899 +524 520 3 884637314 +551 917 3 892775466 +532 1 5 893119335 +116 1020 3 887605454 +608 702 1 880406862 +643 228 4 891447260 +387 107 3 886481002 +548 39 5 891044481 +595 268 4 886920576 +430 318 5 877226130 +244 1188 4 880608864 +407 729 4 876348660 +495 1182 3 888636871 +500 1441 2 885237683 +455 423 5 879111862 +542 109 4 886532416 +360 275 4 880354149 +208 86 2 883108895 +527 209 4 879456405 +514 132 4 875463469 +660 2 2 891201151 +189 50 5 893263994 +677 237 4 889399402 +378 1058 3 880333695 +276 794 2 874793198 +341 895 4 890757961 +82 274 3 876311492 +286 316 5 889651121 +311 88 4 884365450 +486 628 3 879875278 +406 92 4 882480836 +566 80 3 881651531 +642 1028 4 885605735 +667 124 5 891035164 +522 654 4 876960824 +256 975 3 882151017 +593 275 3 875658862 +234 259 2 891033686 +102 655 3 888803802 +198 369 1 884206806 +533 371 3 879439488 +497 358 4 878759378 +532 559 5 892859148 +495 435 5 888632969 +606 203 5 880926084 +601 98 3 876348526 +693 499 4 875484539 +562 5 4 879196576 +683 895 2 893284138 +313 499 3 891016452 +343 536 4 876403310 +643 53 4 891449719 +94 328 3 891724990 +269 631 4 891447891 +689 879 2 876674692 +658 433 4 875147994 +201 228 3 884112427 +486 508 4 879874753 +582 121 3 882961133 +667 316 4 891034584 +648 240 2 882211857 +637 294 3 882900888 +580 546 1 884126077 +601 185 4 876349577 +568 162 2 877906935 +56 969 3 892683303 +271 924 3 885847974 +592 14 5 882607986 +561 895 1 885807035 +437 207 4 880142365 +40 259 2 889041643 +615 160 3 879448599 +13 22 4 882140487 +360 1134 3 880355261 +648 878 3 884367366 +677 405 4 889399328 +374 192 5 880395665 +508 153 3 883777329 +648 174 5 884882664 +198 73 3 884208419 +655 1016 3 887425601 +526 323 2 885682214 +476 168 5 883364143 +610 12 5 888703157 +650 219 3 891386671 +64 384 2 889740367 +531 895 2 887049214 +557 58 4 880555684 +533 236 4 890659276 +346 67 3 875264985 +577 447 3 880475226 +682 1107 2 888517896 +347 386 1 881654846 +615 632 5 879448759 +669 23 4 891260474 +90 208 3 891384065 +660 431 4 891200658 +561 811 3 885808963 +527 651 5 879455654 +370 172 4 879435369 +586 1047 3 884067058 +207 722 3 878191750 +299 487 5 889501230 +685 302 3 879451401 +80 514 3 887401533 +535 166 4 879618385 +339 657 4 891032221 +280 416 5 891701666 +409 367 3 881109264 +697 713 5 882622505 +368 670 3 889783562 +174 763 1 886434260 +2 255 4 888551341 +43 747 4 883956169 +293 404 4 888907122 +698 1063 2 886367406 +218 175 3 877488492 +620 246 4 889987276 +523 944 4 883702324 +670 482 5 877975285 +592 4 4 882956418 +153 182 5 881371198 +59 465 2 888206363 +101 370 2 877136711 +308 230 4 887739014 +359 268 4 886453490 +135 55 4 879857797 +192 235 3 881368090 +313 432 5 891016583 +664 79 4 876526519 +610 56 3 888703213 +654 1009 3 887863885 +151 748 2 879523925 +643 288 4 891445255 +222 424 1 881061049 +690 210 3 881177581 +303 269 5 879466018 +533 20 5 882902988 +10 197 5 877888944 +626 243 1 878771505 +474 614 4 887926999 +684 48 4 875812176 +484 204 5 891195057 +664 197 4 876523654 +305 48 5 886323591 +508 185 5 883777430 +626 286 5 878771242 +682 333 4 888518279 +648 79 5 884796689 +542 772 4 886533694 +617 569 1 883789537 +379 516 4 880525306 +365 277 4 891304078 +328 549 4 885047556 +186 291 4 879023073 +453 53 3 877561894 +64 91 4 889739733 +445 245 2 891035830 +629 135 5 880117586 +511 288 4 890004795 +356 307 4 891406040 +409 186 5 881109420 +643 150 5 891445823 +503 321 2 879438024 +374 172 3 880434204 +669 257 3 892549514 +496 191 5 876072632 +605 252 4 879510953 +406 53 4 879792928 +493 195 3 884131314 +320 1059 4 884748868 +429 52 4 882387074 +268 1098 3 875743534 +437 1599 5 880142614 +474 218 4 887927588 +618 385 4 891309163 +95 1126 4 879197445 +474 416 4 887926271 +374 979 3 880936113 +92 243 1 875644795 +294 313 5 889241339 +94 317 5 885873653 +685 991 1 879451282 +256 363 3 882163834 +405 843 2 885549005 +533 382 1 879191998 +425 895 4 890346198 +28 28 4 881956853 +626 988 1 878771281 +490 455 4 875428152 +189 863 4 893266161 +524 322 4 884320358 +487 97 5 883446600 +659 127 5 891331825 +618 423 5 891309886 +428 326 3 892572448 +270 535 5 876954123 +686 425 5 879546651 +291 780 5 875086636 +58 98 4 884304747 +406 123 4 879540173 +227 274 4 879035963 +85 822 3 880581629 +268 561 3 876513897 +58 199 4 891611501 +586 240 3 884066799 +90 1205 3 891383687 +592 854 5 882955948 +592 173 5 882956276 +622 1207 2 882671958 +619 720 4 885954238 +59 679 4 888205714 +568 615 5 877907235 +497 1228 2 879362569 +600 810 3 888451977 +506 215 5 878044852 +185 160 1 883524281 +405 447 4 885548331 +305 143 3 886323275 +323 23 5 878739925 +488 328 4 891293606 +198 727 4 884208876 +466 885 2 890283667 +312 945 5 891699068 +463 473 4 877385731 +655 1029 1 887475032 +130 64 5 875801549 +537 425 3 886031297 +391 498 4 877399513 +623 504 3 891034343 +692 1023 2 876954083 +693 273 3 875481549 +660 996 1 891265453 +244 80 3 880607489 +225 286 4 879539027 +177 186 4 880130990 +279 61 4 875306552 +295 809 4 879519438 +268 728 2 875744051 +347 183 3 881654232 +536 435 3 882359755 +426 197 4 879444816 +484 405 4 881450182 +269 530 3 891448926 +608 166 3 880403388 +409 209 5 881107117 +234 154 3 892078605 +627 1134 1 879530305 +629 660 5 880117772 +561 679 3 885807235 +450 527 5 882374059 +6 185 5 883601393 +374 1013 2 880936476 +344 281 3 884900374 +644 597 4 889077513 +504 4 4 887839260 +20 148 5 879668713 +189 118 1 893264735 +354 473 3 891216498 +539 170 5 879788533 +638 430 5 876695714 +485 330 3 891042162 +415 748 5 879439349 +465 423 3 883531533 +543 480 4 876896210 +354 311 5 891180445 +586 31 4 884064631 +354 303 5 891180548 +326 484 5 879874933 +584 40 4 885778385 +648 676 2 882211384 +665 24 3 884291300 +577 63 4 880476606 +543 529 4 874866208 +586 27 3 884062405 +343 134 5 876404568 +370 199 4 879434999 +505 191 3 889333792 +655 1585 4 887523403 +125 508 1 892838351 +181 1391 1 878962168 +469 306 4 879450473 +391 182 4 877399696 +635 13 2 878879164 +470 1067 4 879178568 +698 568 2 886367955 +587 339 3 892871284 +94 780 3 891723558 +590 15 3 879438936 +682 1089 2 888518871 +424 538 5 880858861 +560 411 3 879976828 +346 391 2 875266600 +690 790 3 881177970 +467 249 3 879532671 +642 570 1 886131332 +559 197 4 891035111 +250 248 2 883263390 +619 515 1 885953778 +474 291 4 887916567 +568 638 3 877907877 +479 318 5 879461039 +672 50 3 879787753 +234 66 3 892334765 +389 491 5 879991352 +642 63 3 885606090 +484 73 4 891195199 +174 126 5 886433166 +441 342 4 891035267 +262 1135 3 879794599 +559 511 2 891034347 +254 231 3 886474712 +610 7 2 888703137 +694 1050 3 875726759 +267 153 5 878974783 +543 163 4 874864870 +655 527 3 887427568 +330 102 4 876546586 +361 611 4 879441462 +588 174 3 890015323 +645 286 4 892051844 +606 125 4 878148493 +624 687 2 891961362 +94 679 4 891722006 +396 245 3 884645720 +182 50 5 885613018 +361 49 3 879441179 +492 772 1 879969512 +318 385 4 884496398 +538 42 1 877108077 +586 591 3 884058249 +450 731 3 882398084 +470 1 3 879178428 +303 143 4 879483680 +690 80 3 881177778 +174 178 5 886513947 +72 1147 5 880036783 +517 127 4 892660033 +500 268 5 883864840 +7 666 4 892132192 +318 618 3 884496984 +327 152 3 887819194 +468 111 4 875280518 +435 162 1 884132755 +1 66 4 878543030 +345 255 4 884994156 +239 462 5 889179623 +13 39 3 882397581 +311 66 4 884365325 +658 96 4 875147873 +552 1014 4 879222520 +682 597 1 888522699 +622 855 3 882592103 +654 678 4 888687055 +262 153 3 879793346 +664 663 4 876525998 +481 283 5 885828389 +545 549 4 879901920 +593 183 4 875670915 +606 161 4 880926994 +426 135 3 879444604 +269 255 1 891446703 +536 708 3 882361179 +680 20 4 877075273 +76 93 4 882606572 +561 52 4 885809583 +207 475 2 875503932 +295 381 5 879518528 +346 541 3 874951104 +234 765 3 892336322 +276 769 1 874977334 +21 259 2 874951005 +677 148 4 889399265 +427 258 4 879700792 +606 993 5 887059716 +401 511 2 891033092 +138 509 4 879024232 +234 650 3 892078837 +478 1048 4 889388357 +388 9 3 886437226 +232 100 5 880062447 +483 180 2 878954086 +683 268 4 893286261 +90 496 4 891385787 +634 508 4 880067125 +542 357 5 886532534 +198 431 3 884208137 +496 356 2 876070764 +408 313 4 889679761 +417 1416 2 880952534 +379 434 3 880961672 +554 173 3 876369527 +622 50 5 882592815 +291 117 5 874834481 +642 462 4 886455357 +295 465 4 879518630 +486 935 4 879874516 +222 1188 3 881060281 +345 485 4 884992141 +434 7 1 886724505 +642 527 4 886207132 +176 286 2 886046979 +151 93 5 879525002 +223 1016 5 891549657 +705 1043 5 883427857 +682 357 3 888516979 +85 710 2 879828912 +85 82 3 879454633 +655 698 4 887473727 +543 518 3 874864736 +524 416 4 884636152 +363 204 2 891495402 +537 281 1 886030281 +693 132 4 875484562 +230 121 4 880484998 +256 538 5 882150122 +653 474 4 880150019 +551 943 5 892783451 +592 12 5 882955825 +26 116 2 891352941 +398 602 4 875660302 +680 1012 3 877075214 +110 1090 2 886989191 +597 264 4 875339156 +705 578 3 883428276 +524 705 3 884634818 +84 628 3 883450434 +378 94 3 880332752 +567 209 4 882426812 +129 903 2 883245311 +502 687 4 883702867 +514 293 3 880209950 +524 950 4 884323351 +115 176 5 881171203 +416 1262 5 893213019 +244 433 5 880603683 +299 91 4 889501654 +690 276 3 881178293 +655 1379 3 888685879 +149 346 4 883512658 +268 191 4 875310784 +387 429 3 886484065 +541 174 4 883871524 +59 180 4 888204597 +650 238 4 891382032 +276 475 5 874786756 +437 275 5 881001888 +655 208 3 888813272 +527 7 5 879456162 +532 251 4 888636374 +650 449 3 891370031 +111 315 5 891679692 +197 183 5 891409839 +513 127 4 885062286 +91 601 4 891439171 +605 475 3 879424369 +521 22 4 884477677 +500 98 4 883873811 +334 629 4 891548460 +145 1051 2 888398087 +528 298 4 888520849 +535 61 3 879619107 +279 1037 1 888806543 +405 666 1 885549635 +499 157 3 885599447 +543 704 3 875662979 +562 416 5 879195613 +659 179 1 891384077 +611 896 3 891636152 +72 5 4 880037418 +478 65 4 889395879 +660 197 3 891199965 +141 1014 3 884585572 +442 1218 2 883388960 +655 1134 3 887611594 +323 50 5 878739137 +203 323 3 880433558 +640 750 5 886353742 +487 239 5 883531507 +9 242 4 886958715 +624 342 3 891961267 +236 328 5 890117711 +670 651 4 877975070 +701 285 5 891447139 +223 1051 3 891549945 +429 418 3 882386096 +624 333 4 879791884 +299 502 4 878192756 +257 286 5 879029516 +299 402 3 889502865 +218 648 4 877488233 +693 131 3 875484953 +565 638 4 891037837 +406 405 3 879540296 +671 233 4 883547351 +620 35 3 889988340 +538 566 3 877107765 +443 12 5 883505379 +592 305 4 885280098 +92 363 3 886443455 +671 581 2 884035173 +584 313 5 885773921 +653 196 2 880151539 +642 1076 2 885606648 +693 480 4 875484454 +492 285 4 879969345 +435 195 5 884131118 +160 483 5 876859413 +493 60 2 884131263 +694 432 4 875727513 +91 328 4 891438245 +699 748 2 879382698 +507 690 4 889964074 +639 197 3 891239492 +337 879 3 875429233 +623 435 5 891035112 +214 582 3 891544236 +653 230 3 890181186 +699 100 4 878882667 +694 191 5 875727749 +240 269 5 885775536 +144 514 5 888105197 +698 512 4 886367644 +279 480 3 875309189 +632 184 5 879458277 +458 143 4 886396005 +456 143 3 881373983 +336 204 5 877757601 +495 1469 5 888636810 +532 1188 4 874790998 +495 229 3 888634918 +298 211 5 884125093 +560 654 5 879975613 +658 458 3 875145926 +518 147 4 876823324 +545 419 3 884134177 +655 909 3 890611503 +619 350 3 885953641 +279 342 4 881375917 +521 431 4 884478601 +416 754 5 893214128 +301 12 4 882076239 +59 789 4 888205087 +62 569 1 879376158 +632 282 4 879458806 +102 68 2 888801673 +621 398 2 874964605 +653 448 4 878867249 +692 285 3 876953204 +349 100 4 879466479 +606 174 5 880924663 +519 259 1 883248278 +371 183 5 880435519 +545 182 3 883115423 +388 307 4 886439506 +486 124 5 879874545 +655 1008 3 887426300 +343 98 5 876404836 +457 1039 5 882397934 +1 77 4 876893205 +111 354 4 891679692 +704 205 5 891397819 +417 258 4 879645999 +524 584 1 884635205 +606 153 3 880926700 +200 62 5 884130146 +659 654 4 891384526 +595 1061 3 886921945 +507 750 5 889964274 +671 23 4 883547351 +405 193 4 885544698 +669 326 1 891182678 +487 685 3 883444252 +546 164 4 885141360 +149 874 3 883512752 +618 576 4 891309608 +608 133 4 880405165 +125 687 3 892836268 +472 28 5 892791063 +679 288 4 884312660 +582 3 3 882961723 +555 410 4 879962769 +417 357 5 879647118 +301 250 4 882074236 +347 202 4 881654211 +553 515 5 879948386 +393 68 4 889729537 +72 466 4 880037461 +650 55 4 891369889 +301 393 3 882078735 +270 582 3 876955087 +279 1185 1 888805868 +436 92 3 887770115 +184 715 4 889909590 +373 435 4 877098979 +404 690 5 876889178 +338 215 3 879438092 +347 203 5 881654232 +647 328 3 876531582 +621 561 4 874964945 +650 692 3 891384226 +465 32 3 883531026 +322 258 4 887313698 +457 117 4 882393457 +59 185 5 888205228 +457 203 4 882397133 +435 15 3 884132146 +707 14 3 880060118 +609 258 3 886894677 +692 692 3 876953130 +499 275 3 885599447 +429 210 4 882387731 +160 589 3 876857977 +461 158 2 885355930 +234 1100 2 892335500 +623 659 5 891035112 +409 1093 2 881106087 +643 111 4 891446301 +589 286 3 883352372 +345 620 2 884991614 +195 386 2 874825826 +463 1163 4 877385982 +514 181 4 875463494 +498 212 3 881958238 +417 946 4 880950324 +389 283 5 879916099 +12 416 3 879959025 +476 1036 2 883364780 +653 1023 3 878855109 +487 550 3 883530841 +250 458 5 878092104 +210 443 4 887737487 +666 1266 5 880139493 +648 5 4 884883476 +543 111 4 874861699 +537 88 2 886032204 +268 831 3 875744357 +44 496 4 878348885 +435 31 5 884131157 +501 125 3 883348435 +224 687 2 888082135 +700 181 5 884493523 +194 88 3 879549394 +405 8 4 885545015 +682 94 3 888522021 +481 100 4 885828426 +145 447 5 877343185 +563 210 4 880507483 +200 410 3 876042204 +595 151 5 886921475 +704 209 3 891397667 +429 405 3 882387202 +618 97 5 891308913 +592 534 5 882608531 +457 70 4 882396935 +630 172 3 885667918 +23 214 3 874785701 +466 328 4 890284652 +643 24 4 891449614 +49 997 1 888069117 +64 273 2 889739381 +671 188 2 884035992 +685 319 2 879451401 +568 509 4 877906935 +411 1475 3 891035617 +178 7 4 882823805 +655 1607 3 887768472 +463 1377 4 889935837 +610 591 3 888703316 +518 820 2 876824218 +620 1 5 889987954 +697 331 3 882621431 +655 77 3 887430746 +655 500 2 887651149 +588 164 5 890026262 +94 951 3 891722214 +450 823 3 887139729 +141 619 4 884585039 +291 597 3 874833857 +450 274 4 882469627 +450 380 5 882398939 +474 664 4 887925620 +315 204 5 879821158 +664 469 3 876524474 +291 202 4 874871736 +85 132 5 879453965 +293 174 5 888905923 +269 792 4 891448436 +72 69 4 880036579 +592 307 4 882607528 +16 684 5 877719863 +627 939 3 879530264 +388 559 5 886441133 +548 234 4 891044356 +353 358 1 891402617 +249 421 5 879572516 +222 716 2 878183481 +490 926 2 875428185 +533 1016 3 887721769 +242 283 4 879740362 +244 68 5 880602170 +551 728 2 892785331 +504 448 5 887840134 +378 237 4 880044697 +686 187 5 879545481 +659 89 4 891384637 +500 611 5 883873940 +547 333 4 891282555 +222 816 1 881060412 +222 191 2 878181906 +5 216 1 875720967 +685 340 2 879451401 +704 354 4 891397015 +299 970 4 877880350 +479 281 3 879460285 +430 248 3 877225832 +405 1103 2 885546025 +110 88 4 886988967 +457 195 5 882395049 +405 1070 1 885547123 +113 9 3 875076307 +655 1538 3 887425498 +642 88 5 886131546 +692 287 3 876953130 +496 204 3 876066531 +666 529 5 880568129 +655 792 3 891585380 +642 139 1 886569417 +452 62 2 875563098 +102 49 2 892992129 +529 319 4 882535220 +655 284 2 887426732 +655 619 3 887430746 +235 1176 5 889655820 +187 179 5 879465782 +682 443 3 888520977 +405 684 3 885547996 +406 663 5 879446269 +648 471 4 882211685 +605 325 2 879365219 +397 855 4 885349476 +109 95 4 880572721 +455 64 4 879111500 +472 78 1 875982967 +158 1016 3 880132701 +687 245 3 884652276 +301 758 3 882075242 +263 1 5 891299207 +429 202 4 882385829 +531 688 1 887048998 +18 528 4 880129489 +682 940 2 888521907 +472 928 4 875979562 +627 1136 4 879530762 +299 77 3 878192638 +695 300 1 888805767 +657 151 4 884239886 +399 233 3 882347061 +182 150 3 885613294 +246 181 5 884920978 +693 289 3 889167919 +373 571 1 877111864 +457 231 4 882549998 +437 843 4 880143520 +593 193 4 886193361 +40 321 4 889041523 +85 136 4 879454349 +219 38 1 889452455 +543 239 2 877550660 +393 204 4 887746301 +60 684 4 883328033 +550 288 5 883425979 +234 443 3 892334079 +28 288 5 882826398 +388 596 4 886436661 +545 384 3 879900863 +542 273 3 886532466 +654 825 3 887863826 +582 50 5 882961082 +5 420 3 875721168 +655 733 3 888474138 +167 83 5 892738384 +653 967 2 880153123 +497 399 4 879310883 +328 692 4 885046976 +675 306 5 889488487 +405 1219 1 885549094 +533 22 4 879438961 +562 402 5 879196074 +650 650 2 891372203 +405 784 1 885548275 +524 403 4 884636182 +496 227 1 876066794 +658 772 3 875147591 +320 274 4 884748683 +661 676 4 886841222 +405 1044 4 885545552 +180 961 5 877544384 +90 454 2 891383423 +697 298 4 882621940 +291 100 5 874834481 +291 69 5 874868146 +378 125 2 880044609 +215 174 4 891435995 +543 170 4 874863269 +12 215 4 879959553 +666 699 3 880568297 +406 39 4 884630523 +645 59 5 892053429 +128 393 4 879969136 +632 150 2 879457525 +483 229 3 878953485 +151 628 5 879528674 +12 4 5 879960826 +479 727 5 879461818 +627 83 3 879530071 +457 792 4 882548312 +606 42 3 880926245 +59 616 5 888206049 +586 397 3 884063080 +361 168 4 879440386 +666 132 4 880139669 +72 222 1 880036346 +474 274 3 887916330 +633 172 3 877212250 +336 780 3 877756934 +141 871 3 884585148 +683 511 5 893286207 +568 478 4 877907235 +90 221 4 891383987 +621 250 4 880738568 +365 268 5 891303474 +589 749 3 883352631 +368 234 3 889783365 +523 509 4 883700870 +63 25 4 875747292 +181 1345 1 878962168 +255 325 1 883215723 +705 58 2 883518834 +373 510 3 877100379 +433 326 2 880585386 +639 305 1 891238668 +445 7 1 891200078 +116 323 3 876452186 +630 832 2 885667528 +480 89 4 891208651 +490 1386 4 875428416 +303 425 4 879466795 +587 350 3 892871372 +416 463 4 886316703 +13 818 3 882141814 +250 754 4 883263374 +650 1065 4 891383547 +634 748 3 875729217 +313 505 5 891014524 +269 496 5 891455816 +436 559 4 887770640 +682 1074 4 888517792 +43 294 5 875975061 +99 313 5 885678348 +201 196 4 884111677 +608 185 5 880405484 +405 480 4 885544739 +393 696 4 887745258 +435 105 3 884133872 +643 367 4 891447518 +194 507 4 879520916 +405 12 5 885545306 +440 350 5 891550404 +385 1069 4 879442235 +35 333 4 875459017 +697 301 5 882621523 +345 1281 4 884991105 +708 322 3 892719062 +534 273 5 877807747 +655 936 3 887425625 +301 462 2 882076587 +663 332 4 889491768 +569 473 4 879794699 +405 790 1 885547360 +537 168 4 886030552 +650 671 3 891386878 +621 180 4 885596944 +665 156 5 884294772 +444 9 5 890247287 +457 94 3 882549544 +671 748 3 875386402 +507 315 5 889964593 +64 288 4 879365313 +288 136 5 886374316 +56 443 4 892679144 +184 65 4 889909516 +551 685 1 892782901 +682 293 4 888523581 +217 403 5 889069944 +527 4 2 879456162 +398 174 5 875660535 +437 699 4 880143419 +534 294 5 877807461 +389 154 3 880087200 +416 472 4 876698204 +494 294 4 879540593 +622 472 3 882591687 +666 245 3 880138865 +561 702 3 885809873 +406 1194 4 879446588 +600 510 5 888451665 +184 1 4 889907652 +654 50 5 887863323 +655 1085 2 888813416 +284 751 3 885329322 +397 346 4 890172230 +246 172 5 884922042 +294 1011 2 889242370 +142 425 4 888640489 +601 225 1 876347462 +293 518 5 888906489 +487 96 5 883446801 +398 73 3 875723337 +445 118 2 891200506 +336 1183 1 877757972 +642 364 5 885843025 +56 373 4 892910950 +447 284 4 878854552 +619 405 3 885953826 +524 1152 3 884626906 +583 7 5 879384471 +207 69 4 877878342 +124 173 2 890287687 +655 481 2 888474390 +168 225 5 884288304 +307 70 4 877121347 +181 289 4 878961332 +655 1649 3 892333993 +325 200 2 891478120 +423 125 2 891395547 +707 663 4 886286979 +634 21 2 875729668 +20 378 3 879669630 +524 836 2 884637409 +661 95 5 876036190 +465 705 4 883531444 +569 508 3 879793785 +610 79 3 888702859 +629 340 2 880115971 +303 255 4 879544516 +313 211 5 891013859 +82 474 3 878769597 +548 1014 4 891043932 +474 208 3 887925497 +607 45 4 883880079 +592 1514 5 882608625 +623 648 5 891035112 +308 210 4 887737130 +383 345 2 891192251 +698 83 5 886366731 +618 596 4 891309065 +95 465 3 882803918 +567 484 4 882426508 +450 316 4 889568753 +450 166 5 887660440 +684 161 3 878760137 +627 69 3 879529855 +287 100 5 888177364 +409 192 4 881107666 +99 147 5 885678997 +537 64 3 886030707 +621 241 4 874964604 +202 269 4 879726420 +642 148 5 885604163 +495 143 1 888634315 +41 168 5 890687304 +602 988 4 888638248 +505 588 5 889333823 +655 672 2 891585573 +295 237 4 879517994 +450 125 4 882376803 +579 286 4 880951444 +617 175 4 883789386 +617 573 4 883789590 +686 180 5 879546147 +566 192 5 881649747 +609 288 2 886894677 +405 101 1 885549192 +90 218 5 891385899 +71 174 2 877319610 +642 68 3 885606765 +109 229 5 880578632 +599 1315 4 880951743 +346 423 4 874949057 +452 154 5 888568251 +618 239 3 891309293 +533 696 3 887032538 +450 535 3 882812636 +650 286 3 891369022 +533 204 4 879192157 +330 969 5 876546409 +346 842 1 874948513 +637 408 5 882901355 +682 50 5 888518639 +130 29 3 878537558 +94 228 4 891720996 +543 8 4 875658853 +476 80 3 883364392 +198 434 3 884208061 +637 255 3 882903645 +498 514 4 881958093 +457 405 5 882553113 +222 377 1 881060205 +624 741 4 879792557 +582 268 4 882960396 +393 1435 3 889731821 +87 153 5 879876703 +670 945 4 877975285 +56 501 3 892737210 +506 92 3 874876551 +435 566 4 884132643 +498 887 3 881953907 +655 213 4 888474934 +682 541 3 888522612 +648 399 4 884882104 +116 678 3 876452228 +111 302 5 891679971 +14 265 3 890881216 +457 732 4 882548426 +308 496 3 887736532 +472 569 4 892790676 +643 181 3 891445476 +595 929 2 886921722 +59 371 4 888206095 +506 224 1 885136005 +650 175 4 891372233 +505 204 3 889334162 +622 298 4 882590559 +682 122 3 888522260 +387 295 3 886480818 +14 923 5 890881294 +145 343 5 882181082 +709 219 4 879848120 +145 898 1 885555980 +621 268 4 890517367 +632 186 5 879459738 +704 381 3 891397713 +116 515 4 876452443 +659 659 3 891332006 +328 1107 3 885048532 +707 256 4 880061024 +664 81 5 876524474 +686 172 4 879545181 +233 633 5 877663185 +181 460 1 878963418 +707 716 2 886287051 +159 476 5 880557564 +660 625 3 891200513 +694 196 5 875727226 +262 283 3 879962366 +474 107 3 887915722 +650 143 5 891369656 +492 479 3 879969583 +409 661 5 881107817 +452 631 4 888568464 +38 401 3 892434585 +266 321 3 892256892 +535 153 4 879617663 +393 810 4 889731138 +525 15 4 881085964 +478 69 3 889388612 +435 239 4 884132968 +663 273 4 889492679 +92 258 4 886440479 +533 291 3 882902727 +90 133 5 891384147 +524 930 3 884832772 +628 305 5 880776981 +618 4 2 891308459 +553 135 4 879948996 +399 544 2 882340556 +524 72 4 884636958 +23 144 3 874785926 +551 595 2 892784744 +435 3 3 884133911 +148 227 4 877399083 +506 391 2 885135912 +334 879 3 891544264 +352 56 5 884289760 +609 125 4 886895193 +550 121 5 883426027 +276 184 4 874792547 +54 100 5 880931595 +204 316 4 892388935 +573 479 4 885844051 +504 651 4 887832531 +474 212 4 887927670 +167 288 3 892737972 +18 704 3 880131986 +693 1522 3 875483670 +401 566 5 891033684 +407 248 4 884197006 +592 405 4 882608531 +13 573 3 882396955 +530 582 4 883783631 +585 61 4 891283338 +234 416 4 892335616 +83 225 3 880307208 +541 1185 2 883866028 +361 794 3 879441033 +372 443 4 876869481 +456 226 2 881375482 +665 298 3 884292654 +426 50 4 879442226 +568 855 1 877906935 +506 241 2 874874850 +325 647 5 891478529 +257 275 4 879029716 +694 229 4 875728801 +552 286 4 879220564 +416 1441 3 886318546 +128 367 4 879968858 +569 826 3 879794660 +634 411 4 877018059 +8 227 4 879362423 +43 168 4 875981159 +705 827 4 883427297 +521 56 4 884478530 +346 385 5 886274124 +648 175 3 882213597 +201 317 3 884113634 +313 300 4 891012907 +588 94 2 890027865 +392 705 5 891038433 +325 32 3 891478665 +121 156 4 891388145 +588 419 5 890023646 +495 790 3 888636635 +705 400 4 883427817 +74 276 4 888333458 +622 47 3 882670406 +267 155 3 878973088 +577 407 4 880471271 +693 604 3 875484480 +474 168 3 887927670 +619 50 4 885953778 +590 14 5 879438852 +194 783 2 879527865 +420 603 4 891356864 +665 15 4 884290676 +276 546 3 874786568 +634 126 3 875729106 +432 815 3 889416260 +577 1 5 880470282 +532 636 5 892859149 +569 979 3 879793948 +269 508 4 891446265 +666 429 5 880139409 +389 506 4 879991330 +207 182 3 891759050 +653 509 4 878854441 +250 1426 5 878091771 +615 303 5 879447530 +385 46 5 880870206 +671 628 3 883950232 +276 313 5 885159577 +454 89 1 888266433 +297 984 1 881707865 +92 583 3 875907134 +426 705 5 879441931 +601 47 3 876349542 +378 1035 3 880332911 +210 234 4 887737108 +671 53 3 884034800 +487 742 5 883442053 +92 636 3 875812064 +478 160 2 889395921 +407 715 4 876340239 +709 564 1 879848318 +618 123 2 891308063 +300 881 5 875650105 +624 876 3 879792251 +362 245 4 885019504 +60 7 5 883326241 +682 1220 4 888518130 +665 172 4 884293523 +479 108 4 879460424 +642 769 5 885842903 +130 1279 4 876251217 +514 136 4 875462867 +352 39 5 884289728 +235 462 3 889656168 +378 410 3 882022445 +545 820 3 879901359 +59 198 5 888204389 +42 64 5 881106711 +645 87 4 892055444 +392 271 1 891037490 +457 65 5 882547967 +16 476 3 877720437 +537 243 1 886029239 +619 1016 4 885953826 +533 191 4 879192315 +711 421 4 879993674 +618 673 3 891309139 +632 483 5 879459738 +535 221 3 879618700 +44 102 2 878348499 +650 968 4 891372258 +417 106 2 879646741 +148 418 3 877019251 +416 737 3 886318613 +661 52 4 876017029 +603 229 4 891955972 +159 276 5 880485824 +497 731 3 879310474 +379 654 5 880526123 +666 474 5 880139323 +429 700 3 882386485 +660 527 3 891200073 +320 232 4 884749281 +561 578 3 885810575 +44 7 5 878341246 +664 450 3 876526604 +123 23 4 879873020 +638 238 4 876695819 +655 1017 3 887611566 +665 508 2 884290751 +293 638 4 888906168 +406 151 2 879540051 +378 318 5 880045823 +398 47 3 875738523 +639 724 3 891239581 +454 1035 3 888266601 +125 117 3 879454699 +474 511 5 887925620 +405 448 4 885548331 +109 81 2 880580030 +158 1067 4 880134261 +707 526 1 886287405 +655 728 2 887431019 +409 606 4 881108829 +454 237 4 881960361 +525 151 5 881086562 +308 203 5 887737997 +514 473 3 875462520 +454 879 4 881958402 +468 655 5 875294464 +405 1271 2 885547506 +633 322 3 875325888 +632 655 3 879457641 +506 68 4 874873944 +401 143 4 891033034 +663 1073 3 889493691 +117 596 3 880126392 +204 322 3 892391947 +636 740 4 891449263 +588 208 3 890023879 +635 301 3 878878587 +239 69 1 889179544 +449 1142 4 879958803 +183 202 4 891463320 +654 294 3 887863127 +233 498 5 877663465 +650 4 3 891386695 +655 97 3 887426931 +709 64 5 879846293 +537 135 5 886031149 +561 212 3 885809025 +709 769 3 879848239 +707 153 3 886286844 +200 582 4 884129782 +174 721 2 886514889 +503 275 5 879438411 +684 218 1 878232961 +621 746 4 874963028 +655 867 4 887427307 +313 142 3 891030261 +499 295 2 885598827 +501 1067 5 883348011 +235 50 5 889655403 +655 117 2 887426030 +682 97 4 888517587 +655 149 4 887425936 +667 318 5 891034976 +562 1039 4 879196105 +463 1197 4 877385180 +389 1036 2 880087170 +630 70 2 885667994 +442 27 2 883390416 +601 172 4 876348736 +621 174 3 874965407 +345 131 4 884992998 +87 926 4 879877043 +306 283 3 876503995 +72 402 4 880036824 +593 69 5 875660419 +248 250 3 884535532 +28 185 5 881957002 +581 181 3 879641787 +58 462 4 884304865 +658 98 4 875147800 +588 125 3 890026154 +91 750 5 891438209 +648 68 1 884882916 +622 46 4 882670610 +627 1074 3 879530694 +627 258 4 879529339 +710 627 4 882064377 +626 948 1 878771281 +480 213 5 891208492 +183 228 4 891463591 +642 195 3 885602718 +625 191 3 891636079 +361 451 3 879440740 +608 423 4 880406727 +524 578 5 884637031 +586 379 4 884060941 +417 393 4 879648096 +632 81 5 879458834 +498 183 4 881957905 +576 257 4 887168556 +13 761 4 882398076 +592 118 3 882609056 +337 181 2 875184353 +429 338 3 882387599 +602 127 5 888638491 +608 753 5 880405395 +509 754 1 883590676 +592 1097 4 882608021 +130 294 5 874953337 +338 525 4 879438449 +708 471 4 877325455 +416 27 4 886318270 +39 294 4 891400609 +59 1048 4 888203270 +279 31 3 875309667 +693 472 3 875484089 +598 292 4 886710735 +488 196 3 891293974 +665 111 4 884290608 +493 357 5 884130891 +334 744 3 891545108 +325 1149 4 891479228 +230 491 3 880484975 +458 696 3 886395512 +167 237 4 892737972 +393 290 3 887745322 +454 483 3 881960145 +605 300 2 879365101 +116 181 4 876452523 +466 258 4 890284652 +232 250 4 880062618 +528 402 4 888520911 +643 235 4 891445698 +45 1059 2 881014417 +707 676 4 880060180 +458 526 5 886396241 +634 313 5 884980565 +532 335 3 888636389 +478 300 3 889387471 +318 179 4 884497546 +499 605 1 885599533 +495 423 5 888633522 +442 117 3 883390366 +435 69 4 884131243 +707 866 2 880060974 +49 171 4 888066551 +694 419 4 875729907 +442 33 3 883388508 +60 204 4 883326086 +249 173 5 879572229 +705 298 5 883426892 +639 137 3 891239271 +490 93 4 875427993 +359 118 3 886453402 +452 947 5 885816915 +189 178 5 893265191 +265 756 4 875320574 +253 433 3 891628670 +694 300 4 875726453 +70 142 3 884150884 +429 181 5 882384870 +85 1136 3 879455402 +653 216 3 878866900 +506 173 4 874874308 +645 403 3 892055603 +537 1451 3 886030552 +104 871 2 888465853 +661 357 4 876014469 +618 356 2 891309608 +116 1039 4 876453915 +344 928 2 884900409 +540 1048 4 882157635 +693 427 4 875484908 +206 337 2 888180049 +82 367 4 878769848 +399 576 3 882350563 +178 735 5 882827083 +496 433 4 876066904 +561 1449 5 885808620 +592 121 4 882608573 +472 373 4 875983129 +399 451 3 882344684 +100 326 3 891375630 +201 346 4 884110766 +618 371 3 891308980 +588 781 2 890028509 +168 1012 5 884287509 +318 321 4 884470149 +268 525 4 875309913 +615 518 4 879448632 +248 1 3 884535744 +354 241 3 891307069 +70 408 4 884152129 +561 47 4 885809557 +569 16 3 879794348 +254 403 3 887347350 +301 576 4 882079199 +682 273 4 888520864 +614 717 4 879465414 +615 462 4 879447990 +705 622 4 883427778 +332 742 5 887938224 +141 1047 4 884585220 +479 177 4 889125665 +666 1045 4 880567974 +606 1280 2 889137292 +268 240 2 875742341 +570 690 3 881262307 +301 451 4 882078061 +435 159 5 884132898 +561 174 4 885808053 +684 88 4 878761788 +472 576 5 892790952 +378 79 4 880045722 +590 130 1 879439567 +373 380 4 877112017 +508 168 4 883767172 +450 1208 3 882399359 +618 215 4 891307494 +592 1281 3 882608795 +435 29 3 884133691 +221 1267 3 875246459 +493 71 5 884131020 +519 332 3 883248159 +456 135 4 881373169 +542 99 5 886533587 +648 195 5 884368313 +60 215 4 883327566 +56 227 3 892676430 +592 922 3 882608736 +699 1 3 878882272 +417 895 3 886186520 +393 168 4 887746482 +463 268 4 877384940 +474 45 5 887924618 +495 402 3 888635050 +405 143 5 885548785 +686 504 5 879545662 +618 1032 2 891309192 +13 670 3 882396955 +529 271 4 882535536 +463 472 3 877385922 +579 433 3 880952237 +643 100 5 891445140 +234 13 3 892335342 +59 212 4 888205463 +201 145 3 884114813 +318 722 4 884497546 +264 7 5 886122261 +230 266 4 880484286 +413 332 3 879968890 +686 357 5 879545549 +490 224 2 875428702 +622 705 3 882592217 +234 301 3 892826947 +586 254 4 884064246 +521 755 3 885254872 +655 271 3 887425103 +600 1188 3 888452152 +234 223 3 892079336 +704 316 4 891397015 +487 230 5 884036466 +504 631 4 887837701 +436 1048 2 887770379 +450 393 4 882812349 +381 132 5 892696426 +380 570 3 885479706 +373 83 5 877098599 +712 747 3 874730552 +488 612 4 891294210 +488 515 4 891293699 +663 924 3 889492351 +450 845 4 882373385 +612 237 3 875324455 +19 202 4 885412723 +194 419 2 879521088 +642 790 4 885605932 +683 264 2 893283997 +561 614 3 885809336 +617 429 3 883789212 +194 1044 2 879524579 +561 405 2 885809313 +474 497 5 887926106 +190 326 4 891033305 +398 495 4 875660439 +659 202 4 891385306 +343 179 5 876405633 +704 604 5 891397366 +198 69 4 884207560 +655 1067 2 887650593 +527 498 4 879455961 +655 572 2 887651149 +566 959 4 881651406 +577 208 4 880474556 +422 286 5 875129523 +608 318 4 880404916 +642 699 5 886568959 +189 934 2 893264678 +621 96 5 874963797 +559 502 4 891035946 +506 239 3 874874152 +569 15 4 879794265 +656 347 4 892318488 +514 215 4 875462689 +433 273 3 880585923 +399 564 3 882350899 +653 239 5 878854475 +226 203 5 883888978 +601 410 4 876347113 +456 421 3 881374086 +537 434 3 886031211 +459 332 3 879561630 +22 181 5 878887765 +320 89 4 884749327 +429 281 3 882386027 +487 403 4 884050247 +101 288 4 877137015 +633 385 4 875325497 +673 347 4 888787290 +534 1 5 877807718 +217 172 1 889069684 +297 168 5 875049192 +548 1278 4 891416371 +524 492 3 884634679 +648 385 5 884368130 +427 332 5 879701253 +648 290 3 882211707 +466 313 5 890284651 +330 15 5 876544366 +564 257 4 888731011 +102 95 4 883748488 +694 684 4 875730313 +552 248 4 879221795 +91 1126 1 891439301 +648 827 3 882211924 +152 173 5 882474378 +393 655 3 887746346 +694 193 4 875728435 +638 241 3 876695217 +394 257 4 881130047 +588 131 5 890024918 +665 307 3 884292654 +669 521 4 892550196 +456 845 3 881371839 +561 188 4 885807261 +38 409 5 892433135 +500 559 4 883875523 +655 1197 3 887474289 +158 866 2 880132701 +582 472 4 882962561 +189 165 5 893265535 +648 722 3 884882104 +344 285 5 889814068 +405 1036 1 885547506 +505 1 3 889333414 +680 276 5 877075135 +336 1079 1 877757094 +506 195 4 874873374 +661 1045 3 886841865 +429 90 4 882387731 +210 755 3 887737631 +650 313 4 891381546 +642 15 5 885602314 +186 356 5 879023663 +601 91 5 876349251 +600 530 4 888451664 +327 896 5 887820828 +537 321 3 886028791 +393 84 3 889731009 +347 159 4 881654635 +465 136 4 883530133 +303 746 4 879467514 +533 687 2 879193517 +541 1036 2 883866280 +514 313 5 891900147 +468 70 3 875287535 +626 289 1 878771281 +592 192 5 882955460 +700 144 4 884494252 +465 172 3 883531026 +417 1040 2 879649428 +585 1319 2 891285820 +343 1008 4 876403418 +327 86 4 887822433 +524 443 4 884636542 +407 315 4 891873158 +567 293 5 882427250 +201 185 5 884111217 +532 554 4 874790813 +389 285 5 879916076 +453 77 3 888207161 +18 189 5 880129816 +666 656 4 880139120 +248 180 3 884534735 +189 151 5 893264378 +548 717 4 891416050 +650 367 2 891387490 +653 748 5 878853734 +693 143 4 875484613 +664 210 4 878090054 +85 1174 3 879454633 +354 733 3 891217693 +505 294 3 888631311 +646 319 3 888529054 +653 405 3 878854810 +577 673 3 880474851 +193 153 4 889125629 +178 157 5 882827400 +13 453 2 882397067 +314 775 3 877888645 +683 286 2 893282977 +486 333 2 879873973 +479 270 4 879459641 +676 751 4 892685695 +405 1415 1 885549045 +505 210 4 889333508 +328 849 3 885048333 +344 71 3 884901371 +642 249 5 885604805 +385 173 4 879441386 +389 520 3 879991175 +549 472 3 881672408 +484 173 5 891195036 +246 672 4 884923047 +655 1252 3 887425601 +244 70 4 880604077 +643 77 3 891449557 +128 220 1 879968352 +18 631 5 880129691 +577 210 3 880474715 +276 42 4 874791623 +57 288 4 883696347 +533 294 4 879193088 +695 307 4 888806120 +506 425 4 874874585 +666 518 4 880567742 +393 132 2 887746207 +608 196 5 880405395 +190 148 4 891033742 +561 130 4 885810429 +387 774 3 886481737 +316 633 4 880854472 +94 710 3 891721117 +715 228 3 875963486 +181 109 1 878962955 +286 781 4 877532777 +701 316 5 891446857 +378 482 4 880046229 +588 85 5 890026882 +550 301 2 883426119 +625 179 4 891961170 +426 23 4 879444734 +60 9 5 883326399 +65 476 3 879217290 +100 269 4 891374641 +627 184 4 879531248 +499 902 5 892501173 +371 69 5 877486953 +311 404 3 884365406 +92 382 4 875656317 +587 269 3 892870956 +571 124 4 883354760 +177 258 3 880130379 +13 815 4 886303934 +492 131 3 879969720 +642 625 3 885603932 +561 12 5 885809356 +666 186 2 880139587 +254 1060 3 886472466 +456 1010 5 881371766 +622 166 5 882669695 +602 748 3 888638160 +577 949 2 880475408 +713 310 4 888882133 +311 755 4 884366035 +561 665 3 885810309 +537 479 4 886030938 +234 511 5 892078567 +668 286 4 881523612 +629 265 4 880116887 +195 276 4 880710086 +288 174 4 886374286 +474 182 5 887923924 +112 751 4 884992754 +667 1101 3 891035015 +149 1295 3 883512813 +664 169 5 878092569 +608 969 5 880407079 +713 539 3 888882085 +151 199 3 879524563 +271 131 4 885849419 +715 202 5 875962931 +586 672 2 884061084 +500 396 3 883876224 +429 496 4 882384603 +573 178 4 885844395 +698 497 3 886367473 +429 1218 3 882387653 +477 756 4 875940755 +387 434 5 886483970 +163 305 2 891219977 +592 294 3 882607434 +639 707 5 891239492 +392 250 3 891038158 +497 122 1 879309802 +181 1335 1 878963241 +533 504 4 888845229 +507 748 5 889964844 +399 628 3 882340719 +588 72 4 890026939 +437 1227 3 880142630 +64 650 3 889740225 +387 231 3 886483194 +450 609 5 882398312 +334 1132 2 891545616 +504 411 4 887831447 +181 683 1 878962006 +399 824 2 882341445 +497 28 3 879363586 +135 203 4 879857797 +619 258 5 885953622 +551 70 4 892783057 +653 22 5 878854284 +682 658 4 888517390 +484 51 4 891194910 +534 763 4 877808361 +192 25 4 881367618 +436 585 3 887771722 +329 295 4 891656012 +354 60 5 891217160 +412 651 4 879717548 +648 4 1 884881646 +640 4 4 874778065 +71 429 4 877319610 +690 85 1 881177430 +456 97 4 881373838 +661 531 4 876013552 +16 125 3 877726944 +654 969 5 887864204 +437 286 2 880139482 +707 640 2 886287471 +707 302 4 886285168 +561 132 2 885809269 +23 217 2 874787144 +327 447 4 887746196 +445 762 1 891200355 +716 318 5 879794962 +613 28 3 891227262 +363 69 3 891494865 +379 310 4 888646088 +569 748 2 879793228 +230 284 1 880485634 +622 737 5 882592678 +527 100 5 879455905 +538 275 4 877107050 +643 508 4 891445287 +144 282 4 888104123 +383 435 4 891192836 +506 715 2 874876486 +659 317 4 891331874 +506 802 4 885135954 +627 434 4 879529855 +236 100 3 890116402 +94 813 5 891720786 +659 181 3 891384107 +640 186 5 888026047 +190 508 3 891033905 +648 687 1 882212527 +569 225 3 879794408 +361 218 3 879441324 +713 1656 2 888882085 +606 56 5 880924483 +634 340 4 881952599 +682 1428 3 888518131 +149 1296 3 883512752 +24 79 4 875322796 +112 294 3 884992566 +406 136 4 879445522 +503 19 5 879438319 +425 1 2 878737873 +450 1091 4 882468047 +655 166 3 891585530 +167 512 5 892738341 +347 405 4 881652610 +293 192 5 888905582 +608 50 1 880403765 +14 191 4 890881557 +561 319 2 885809005 +154 211 4 879139002 +595 324 3 886920632 +200 622 3 884129782 +13 410 1 882141997 +536 746 5 882359838 +699 321 3 879383009 +158 408 5 880132313 +429 4 4 882385684 +407 561 4 887832999 +57 240 2 883697512 +405 1405 1 885549745 +668 354 4 890349060 +385 1252 5 879578355 +716 483 5 879795790 +566 1005 5 881650090 +416 425 4 886316647 +707 478 4 886285762 +11 29 3 891904805 +509 289 2 883590972 +13 775 4 886304188 +484 392 4 891194932 +622 558 2 882592523 +594 988 2 874780945 +497 545 3 879363233 +437 739 3 880143243 +586 436 2 884060807 +682 69 4 888519206 +478 196 3 889395921 +21 564 3 874951797 +519 1293 5 883250148 +499 300 4 882995625 +532 307 4 880831630 +524 604 4 884637501 +601 443 4 876350766 +593 470 2 875671062 +682 191 3 888517197 +679 181 5 884487279 +551 544 4 892784093 +665 427 5 884293309 +324 276 5 880575531 +655 1475 3 887477386 +697 273 5 882622481 +38 411 3 892433290 +659 735 3 891385079 +327 568 2 887820417 +711 64 4 876278860 +314 332 5 877886029 +586 237 4 884057783 +43 248 4 875975237 +102 88 3 892991311 +543 97 3 874864346 +25 495 4 885852862 +660 21 3 891198671 +588 399 3 890027379 +447 815 3 878854658 +89 49 4 879460347 +379 393 4 892879325 +711 684 3 879993758 +637 717 3 882905572 +263 98 4 891297988 +11 724 3 891904551 +145 66 4 875272786 +666 25 3 880313559 +661 408 5 876015530 +408 324 5 889680018 +656 286 1 892318343 +472 1110 5 875981429 +305 433 2 886324792 +347 943 4 881654545 +10 69 4 877889131 +561 447 3 885808767 +670 615 3 877974605 +603 1240 5 891956058 +495 90 4 888635637 +565 713 5 891037693 +640 168 5 886354114 +524 751 4 884701677 +342 251 5 875318267 +167 655 4 892738237 +659 402 3 891387400 +131 9 5 883681723 +616 1313 4 891224840 +224 660 4 888103703 +661 216 5 876017933 +672 281 3 879788819 +404 307 4 883790749 +6 79 3 883600747 +561 191 3 885807484 +681 898 4 885409515 +288 651 4 886374342 +660 202 2 891199683 +664 735 4 878092802 +64 559 3 889740310 +95 22 4 888953953 +545 79 4 879899233 +524 129 5 884322047 +178 460 2 882824869 +389 202 5 880087599 +416 395 2 886319620 +98 502 2 880499053 +453 552 2 877561713 +595 922 4 886921036 +437 1098 3 880141243 +291 1079 2 875086608 +633 276 3 875326698 +571 64 4 883355063 +152 153 4 880149924 +527 177 5 879456405 +449 742 3 879958839 +303 283 3 879467936 +633 317 3 875324598 +545 378 3 884134177 +526 50 5 885682426 +26 456 1 891386174 +5 438 1 878844423 +507 334 5 889964748 +694 195 4 875726708 +715 739 2 875964681 +588 154 4 890024529 +87 802 4 879875940 +87 47 3 879876637 +587 1483 4 892871337 +380 204 2 885479274 +523 116 5 883700766 +625 433 3 891636427 +29 268 5 882820686 +301 959 4 882078778 +708 268 3 892718876 +458 896 5 889323481 +472 69 5 892790628 +276 27 3 874787407 +373 24 4 877100016 +418 346 2 891282595 +663 985 3 889493210 +592 248 4 882608279 +642 235 2 885606047 +450 1220 5 882398084 +684 238 3 878759545 +622 577 2 882672143 +102 522 3 888803487 +523 866 5 883700618 +561 223 4 885807235 +90 836 5 891385190 +330 283 5 876544432 +633 651 3 877212283 +246 550 3 884922740 +477 1051 5 875941763 +267 230 4 878972493 +661 237 4 876037519 +591 100 5 891039565 +606 208 3 880925074 +651 242 5 880126430 +648 443 2 884883424 +269 196 1 891448283 +678 111 4 879544397 +514 200 2 875462867 +109 545 2 880583493 +370 423 4 879435369 +180 318 5 877355315 +585 970 3 891284915 +593 162 5 875671807 +343 747 4 876407174 +1 199 4 875072262 +139 676 4 879538275 +506 660 3 874873157 +640 64 5 874777701 +77 132 3 884753028 +293 1018 3 888907552 +658 724 3 875148059 +560 1014 4 879976215 +474 692 4 887927588 +663 741 4 889493351 +399 1540 3 882350282 +712 731 5 874729750 +660 1078 2 891201521 +370 613 2 879434587 +244 241 4 880602893 +393 258 4 887741960 +432 7 2 889415983 +543 24 3 874861639 +660 161 1 891201223 +628 300 5 880776981 +445 340 5 891035571 +524 79 4 884634818 +399 56 3 882346649 +181 1095 1 878962955 +243 724 3 879988459 +524 319 4 884638062 +653 378 3 890181185 +497 194 3 878759705 +546 322 4 885139921 +63 713 3 875747556 +561 1103 4 885807291 +396 237 4 884646092 +647 705 4 876530628 +487 651 5 883445606 +716 91 5 879796438 +655 393 2 887428334 +308 77 3 887740788 +374 229 5 880937780 +560 358 3 879975358 +588 559 5 890025951 +346 211 4 874948475 +655 958 3 887428993 +658 511 4 875147935 +276 375 1 874791339 +409 195 4 881109306 +610 699 2 888703507 +514 259 4 885180989 +367 670 4 876690021 +525 288 4 881085217 +673 311 4 888787396 +326 161 3 879875873 +417 498 4 879647540 +660 71 2 891200430 +94 201 4 891721378 +305 144 2 886323068 +168 280 4 884287580 +383 484 4 891192949 +650 223 3 891369656 +393 1182 3 889731413 +671 1222 3 884036365 +66 286 1 883601089 +346 743 2 875265295 +716 275 5 879793501 +648 862 1 884882441 +249 275 4 879572451 +454 259 4 881958606 +181 24 1 878962866 +239 921 5 889181092 +600 450 4 888453144 +580 181 5 884125042 +671 1239 3 884036683 +189 654 3 893265291 +410 311 3 888626913 +698 50 5 886366101 +412 81 2 879717829 +292 199 5 881105481 +343 385 3 876406939 +156 515 3 888185735 +648 636 4 884882916 +465 169 4 883531072 +372 446 4 876869512 +686 204 4 879546553 +591 47 3 891031426 +655 321 3 887425103 +601 378 2 876351041 +711 652 4 879993824 +201 86 4 884111637 +653 2 1 880151839 +276 233 3 874792436 +575 427 4 878148329 +290 1035 4 880475782 +249 258 5 879571438 +417 831 2 879646820 +648 226 4 884882916 +660 50 4 891197980 +16 945 4 877719158 +171 690 3 891034756 +17 471 2 885272779 +276 552 3 874795795 +660 930 2 891198762 +313 419 3 891014313 +601 1135 2 876351141 +493 597 4 884131738 +130 38 4 876252263 +627 177 5 879531158 +593 159 4 875671302 +653 101 3 880151817 +545 183 4 879899125 +648 103 1 884367274 +474 514 4 887926632 +495 660 3 888635144 +699 1060 3 879147367 +699 324 4 879147497 +648 434 5 884628437 +49 1081 3 888069246 +627 546 3 879531429 +548 292 4 891042530 +639 638 4 891239790 +683 748 3 893286347 +386 323 4 877655085 +642 412 2 885606271 +551 696 2 892785194 +584 229 3 885774172 +201 137 4 884112901 +301 186 4 882076121 +622 552 2 882671863 +650 269 4 891368885 +12 174 5 879958969 +393 561 3 889728438 +379 56 5 880524541 +617 644 4 883789386 +313 661 4 891015082 +535 686 5 879617489 +313 102 3 891030189 +442 7 4 883389983 +560 89 5 879975752 +276 195 5 874792483 +715 410 4 875962227 +144 963 4 888105254 +294 879 4 877818580 +104 15 5 888465413 +456 559 3 881373574 +601 1047 1 876347557 +308 22 4 887737647 +334 899 4 891547348 +524 71 3 884634755 +385 557 2 879446786 +664 673 3 876526718 +548 928 3 891415890 +421 603 4 892241422 +446 306 3 879786691 +521 28 3 885253323 +230 132 5 880484475 +378 2 2 880333851 +619 300 5 885953684 +13 655 5 886261387 +312 479 5 891698365 +486 1129 4 879874726 +524 649 4 884636205 +479 1007 4 879460140 +535 657 5 879618338 +456 9 3 881372328 +109 238 2 880580637 +503 603 3 880383653 +661 168 5 876017294 +270 869 1 876955633 +381 59 3 892697266 +492 242 5 879969878 +495 219 4 888636992 +667 186 4 891035033 +682 399 4 888522612 +385 177 4 879442673 +618 676 2 891307977 +660 569 2 891201499 +461 304 4 885355805 +532 29 3 888636521 +608 275 5 880403810 +532 97 5 893119415 +276 709 4 874792018 +671 258 5 875386402 +198 652 3 884209569 +670 228 5 877975344 +331 1101 4 877196633 +552 257 3 879221795 +417 202 4 879647140 +334 124 5 891544680 +406 575 1 880132188 +639 66 3 891240868 +402 135 4 876266775 +693 655 3 875482604 +429 249 4 882386662 +588 810 4 890029445 +389 178 4 880086755 +13 891 1 892015288 +313 502 3 891017395 +486 475 4 879874583 +69 289 4 882027133 +661 428 4 876016726 +498 594 2 881956498 +660 603 4 891199182 +295 70 5 879517779 +655 1103 3 887428417 +719 673 3 879360965 +74 13 4 888333542 +94 72 3 891723220 +621 273 4 880739654 +506 749 4 888178129 +405 81 3 885546025 +299 727 4 878192379 +458 195 4 886397318 +43 8 4 875975717 +666 467 4 880568094 +593 659 5 875671464 +505 228 2 889333894 +391 258 3 877398517 +344 694 5 884901093 +535 655 4 879618385 +589 300 5 883352600 +533 792 3 879190771 +471 768 3 889827982 +561 430 3 885809336 +223 619 2 891549570 +330 708 3 876545598 +562 684 4 879196517 +145 1273 5 875272196 +130 392 4 876252243 +654 756 4 887864071 +479 511 5 879461280 +451 877 4 879012471 +537 4 2 886031634 +560 183 5 879975586 +276 67 3 874791993 +711 720 3 879995077 +83 319 1 886532955 +472 51 5 875981708 +624 288 4 879791922 +214 69 2 891544445 +379 178 5 880741811 +297 200 3 875239092 +450 1271 2 882468686 +663 925 3 889493069 +655 291 3 887523177 +577 531 4 890089749 +308 196 3 887739951 +503 10 5 879438257 +683 313 2 893282664 +344 709 5 886382364 +101 125 4 877137015 +526 332 2 885682006 +1 57 5 878542459 +682 51 5 888517740 +658 182 5 875147448 +478 959 4 889396049 +712 392 5 874729996 +145 454 1 885557699 +454 289 3 881958783 +598 898 4 886711452 +450 79 4 882376446 +214 191 4 891544472 +429 537 4 882387773 +648 924 1 884795447 +82 946 2 878769748 +642 71 5 886131547 +416 834 3 878879314 +705 196 4 883518903 +638 100 3 876695560 +661 423 4 876016726 +702 346 1 885767306 +590 282 2 879439374 +416 281 5 893213103 +694 9 5 875726618 +7 551 1 892131978 +622 380 4 882592850 +207 242 4 890793823 +686 185 5 879545603 +514 301 4 880209797 +524 573 4 884636827 +184 476 2 889908207 +642 1413 3 886569809 +693 39 3 875482396 +234 510 4 892079840 +501 1010 4 883348308 +664 678 2 876523288 +65 402 4 879216949 +450 1116 3 887661961 +342 319 4 874984002 +176 1008 4 886048040 +561 431 2 885808738 +622 685 2 882590862 +64 419 2 889740310 +436 367 4 887770217 +721 87 3 877140859 +709 227 2 879848551 +445 1097 1 891199682 +268 77 2 875745453 +562 806 1 879195289 +343 429 4 876407138 +524 709 5 884635171 +526 879 3 885682102 +60 393 4 883327754 +481 163 4 885828389 +38 1031 5 892433801 +455 69 4 879111937 +621 420 4 874965298 +63 813 5 875747265 +339 1267 3 891033766 +323 544 4 878739459 +40 328 3 889041595 +497 568 3 879310792 +107 264 3 891264598 +270 574 3 876956038 +450 278 5 882473476 +659 566 3 891383889 +1 50 5 874965954 +429 393 3 882385749 +659 670 2 891385689 +276 355 3 887601451 +269 448 2 891450623 +707 487 2 886286360 +605 521 5 879424743 +624 286 5 879791792 +493 260 1 884129979 +655 286 3 887424831 +640 382 4 874777528 +659 492 3 891332189 +662 6 5 880571006 +311 56 5 884364437 +551 144 5 892778035 +619 331 4 885953574 +393 871 3 887745174 +674 118 3 887763150 +269 133 3 891449280 +160 211 4 876862171 +308 50 5 887737431 +639 199 3 891239155 +198 382 4 884207525 +627 92 4 879529702 +159 301 2 880485344 +539 45 4 879788345 +405 859 1 885547506 +638 118 3 876695385 +409 1449 5 881107817 +145 181 5 875270507 +669 340 4 891182948 +608 16 2 880406950 +714 282 4 892777903 +378 918 3 892383162 +454 657 3 881959876 +372 696 4 876869667 +552 243 3 879220651 +539 357 4 879787917 +537 414 4 886030938 +208 66 4 883108477 +223 185 2 891550684 +561 121 3 885810372 +545 743 3 879901322 +561 568 3 885807962 +699 456 1 880696679 +669 523 4 891260638 +648 1047 2 882212288 +174 371 5 886513674 +496 1286 2 876065382 +235 1451 4 889655112 +308 1135 4 887740099 +510 243 3 887667780 +498 443 3 881958237 +448 271 4 891888509 +440 1194 5 891577843 +107 312 4 891264535 +503 427 5 880472216 +498 607 3 881958093 +686 205 5 879545181 +11 123 3 891902745 +379 566 4 880525540 +637 148 3 882905070 +699 760 3 879147239 +652 699 5 882567383 +354 429 3 891218439 +429 432 4 882385443 +543 214 3 874864421 +328 181 4 885046244 +158 227 2 880134499 +452 318 5 885544110 +699 983 3 886568097 +453 122 3 877553532 +234 619 2 891227851 +697 150 5 882622127 +690 67 4 881177836 +503 451 4 880383425 +267 1336 1 878974659 +642 959 5 885605794 +450 969 4 882376584 +495 91 2 888634859 +577 265 5 880474851 +709 195 5 879848432 +593 866 5 875660236 +174 244 4 886433881 +676 181 5 892686164 +644 258 4 889075928 +399 147 5 882340620 +559 322 4 891034987 +398 474 4 875657926 +577 582 4 880475540 +326 239 3 879875612 +83 393 5 887665423 +488 1039 4 891294654 +697 333 3 882621431 +339 81 5 891033566 +526 750 4 885681886 +626 332 3 878771355 +242 268 5 879741340 +682 182 4 888523619 +552 240 2 879222133 +334 508 3 891544867 +279 1321 4 888806671 +717 287 5 884642558 +373 1039 4 877098437 +65 69 3 879216479 +719 659 4 879373935 +26 274 3 891385634 +11 42 3 891905058 +712 1178 4 874957086 +612 118 3 875324947 +532 506 5 889235367 +682 80 1 888521803 +684 520 4 875812065 +273 347 4 891293008 +425 100 4 878738853 +537 288 2 886028706 +454 1203 2 888267521 +660 1035 2 891201116 +22 17 4 878886682 +664 223 4 876523654 +712 385 5 874729778 +305 172 4 886323757 +429 726 2 882386751 +592 421 5 882956158 +561 744 3 885809781 +128 490 5 879966785 +382 135 3 875947078 +487 42 3 883446685 +715 231 3 875963273 +678 181 3 879544450 +411 435 3 891035478 +279 517 4 879572893 +267 100 5 878970427 +450 277 3 882397223 +284 333 3 885329146 +463 258 5 877387935 +328 984 3 885044940 +435 1411 1 884133104 +648 393 4 884881679 +664 805 5 878090381 +496 98 4 876073160 +374 820 4 882158327 +407 203 4 876341467 +162 237 4 877635980 +593 781 3 875671334 +233 12 2 880610333 +230 294 5 880484286 +709 561 3 879848209 +536 71 5 882360467 +533 284 1 879192641 +217 233 4 889069878 +625 214 4 891961632 +716 235 2 879794154 +474 527 5 887923923 +718 756 5 883349384 +450 1248 4 882399664 +70 143 5 884149431 +474 230 3 887927728 +712 366 5 874956713 +188 288 4 875071195 +457 632 5 882397543 +682 1305 3 888522021 +696 1176 4 886403631 +699 16 3 879148259 +684 186 4 878762087 +577 100 4 880470350 +176 129 3 886048391 +367 7 5 876689878 +655 183 4 887429999 +690 174 4 881179505 +671 685 5 884035992 +99 931 2 886780147 +659 675 4 891386936 +217 636 2 889069878 +361 276 4 879441417 +684 121 3 875810574 +637 411 1 882904678 +537 782 3 886031831 +498 172 3 881956362 +407 223 4 891868745 +345 81 4 884992998 +538 144 4 877107558 +539 127 3 879788046 +721 879 4 877136175 +503 132 5 880472148 +92 268 4 890251912 +635 875 2 878878838 +159 628 3 880486071 +655 1226 3 891585529 +560 111 3 879976731 +422 129 4 875129839 +655 1108 3 887427083 +13 886 5 881515613 +707 166 3 880061579 +198 122 1 884206807 +405 960 1 885545975 +417 44 2 880951252 +537 655 3 886030831 +343 10 4 876403009 +369 900 4 889428642 +557 269 3 881179139 +344 4 4 884901235 +715 181 4 875961816 +285 222 4 890595636 +483 116 3 878951532 +453 258 4 876191239 +716 143 5 879796171 +144 751 4 888103725 +716 118 2 879793763 +334 203 4 891546181 +472 271 5 892790628 +436 748 3 887768738 +712 97 5 874729816 +318 210 4 884496069 +13 231 3 882397582 +2 284 4 888552017 +581 283 2 879642274 +275 472 3 876197944 +265 628 4 875320516 +553 615 5 879949073 +58 603 5 884304812 +637 50 4 882901146 +405 1407 1 885548137 +705 427 2 883518783 +605 293 3 879366256 +291 129 5 874805699 +642 1473 4 886568874 +102 226 2 888801673 +660 404 2 891200621 +251 210 4 886271675 +59 584 4 888205145 +52 107 4 882922540 +686 79 4 879546443 +456 53 4 881375284 +373 232 3 877105075 +116 1134 4 886310197 +588 133 5 890015894 +722 546 3 891280866 +246 67 2 884923893 +271 182 3 885848408 +665 71 4 884293933 +711 95 4 879993758 +455 17 3 879111862 +698 168 3 886366731 +655 1194 5 887474605 +634 819 2 876171049 +173 324 5 877556864 +190 597 2 891626023 +707 154 3 886286742 +466 144 5 890284707 +244 126 4 880604302 +658 510 3 875147800 +659 837 3 891386307 +7 625 3 892131824 +688 682 5 884153712 +249 248 5 879571695 +654 111 4 887863635 +483 380 3 878953592 +308 1045 4 887740033 +654 317 4 887864757 +487 216 4 883530484 +457 559 4 882398054 +201 1131 5 884111359 +7 204 5 891351121 +51 184 3 883498685 +642 541 5 885607028 +635 262 5 878878654 +332 628 4 887938556 +716 196 5 879796596 +716 159 4 879797475 +311 186 3 884364464 +406 194 5 880131550 +551 554 5 892783906 +551 217 1 892784093 +505 988 3 888631371 +458 685 3 886394373 +642 250 5 886131457 +717 748 3 884641884 +650 663 4 891370971 +659 520 3 891332006 +537 199 4 886030682 +716 194 5 879795576 +655 923 3 888685734 +416 713 4 876697448 +421 653 3 892241422 +145 164 4 875271948 +698 529 5 886366731 +627 284 2 879530306 +634 282 4 875729749 +682 763 4 888521783 +503 615 5 880472061 +455 934 3 879110260 +596 313 5 883538815 +694 610 4 875729983 +666 5 2 880568465 +59 430 5 888205228 +402 471 4 876267041 +222 451 3 878185014 +394 230 3 881132958 +504 393 3 887909456 +666 661 4 880139765 +56 233 1 892679308 +363 435 3 891495850 +532 125 5 893119415 +660 125 3 891198421 +656 316 3 892318450 +539 289 4 879787770 +13 157 3 882140552 +450 191 5 887660440 +655 25 3 887611511 +655 1128 3 887472791 +290 109 3 880475564 +654 168 4 887864369 +435 673 3 884132341 +51 655 3 883498728 +586 273 5 884057692 +186 684 4 879023599 +712 72 4 874730261 +655 402 2 887431019 +87 578 3 879875940 +239 171 5 889178986 +321 1050 3 879441336 +637 475 1 882903191 +13 896 5 891036745 +487 404 4 883446725 +682 1016 2 888518747 +715 216 4 875963452 +197 879 4 891409535 +698 95 3 886367406 +417 142 3 879648184 +617 136 3 883789079 +707 283 4 880059957 +659 385 5 891331825 +425 62 4 878738548 +617 497 3 883788782 +354 381 5 891217851 +538 423 4 877108919 +487 578 3 884036466 +615 949 3 879448149 +405 736 5 885546336 +308 942 3 887737432 +486 14 5 879874725 +41 58 3 890687353 +378 95 4 880055296 +407 188 3 875043801 +601 763 5 876348035 +676 271 3 892685621 +426 648 3 879441931 +721 984 3 877137527 +457 783 3 882549936 +109 234 4 880578286 +486 137 4 879874871 +102 269 2 891427996 +421 183 5 892241459 +458 467 4 886396240 +618 969 3 891307889 +697 302 5 882621460 +184 340 5 889906905 +682 742 3 888519738 +399 755 2 882344757 +535 71 4 879618502 +707 1281 4 880060820 +487 49 4 884036466 +491 696 3 891188296 +634 274 3 876170992 +295 84 2 879518107 +361 166 4 879440605 +393 153 3 887746671 +638 228 3 876694917 +405 464 1 885546379 +291 364 3 875086699 +504 65 4 887838717 +634 924 4 877017810 +334 23 4 891545821 +501 147 3 883348080 +256 988 4 882150193 +514 647 3 875463079 +721 687 3 877137358 +178 1047 2 882824326 +201 59 4 884111546 +524 304 4 884321179 +460 1380 3 882912469 +482 315 3 887643146 +693 53 4 875483597 +488 135 4 891294785 +21 379 3 874951820 +437 812 3 881002092 +655 20 3 887611537 +354 528 5 891218155 +303 491 4 879466631 +393 924 4 887744688 +344 11 3 884901270 +97 23 5 884239553 +326 367 3 879877264 +711 204 3 879992994 +588 728 3 890027707 +592 322 1 882607647 +447 260 2 878854120 +712 734 4 874957027 +480 209 4 891208599 +622 157 4 882670389 +665 234 3 884293610 +7 402 5 891352904 +567 603 5 882425631 +378 775 3 880333305 +712 1119 4 874957269 +254 386 2 886475616 +552 282 3 879222133 +593 241 5 875672874 +717 25 5 884642710 +399 68 3 882347577 +565 970 4 891037757 +690 98 5 881179196 +699 544 4 879147109 +666 79 3 880567919 +62 402 3 879375883 +178 484 4 882826187 +152 1136 5 882477202 +388 300 4 886438122 +622 809 2 882671081 +686 64 5 879547224 +345 300 3 884900427 +570 301 3 881262404 +401 275 4 891032271 +267 127 5 878970529 +648 218 3 884883424 +567 430 4 882426927 +41 357 4 890687175 +648 56 1 884881592 +314 158 3 877892099 +525 127 3 881085647 +670 650 2 877975200 +437 496 4 880140662 +533 15 4 879192641 +494 357 5 879541245 +378 597 3 880044763 +293 180 5 888906428 +622 1039 5 882669575 +44 222 4 883613334 +307 163 3 879283384 +622 142 3 882670826 +630 411 4 885667108 +591 127 4 891031203 +448 307 2 891888042 +525 475 3 881086108 +82 71 4 878770169 +303 298 4 879544607 +307 736 3 877118152 +426 483 5 879442226 +407 226 3 876345024 +151 133 5 879524797 +583 258 4 879384094 +398 203 4 875908134 +344 297 4 889814555 +305 269 4 886307948 +64 235 4 889740567 +537 292 2 886029116 +693 23 4 875482168 +386 840 5 877655145 +497 597 3 879310649 +622 408 5 882590223 +540 820 3 882157545 +236 64 5 890116163 +222 747 2 878181976 +545 491 3 884134035 +429 21 2 882386508 +217 586 2 889070050 +637 1226 2 882903191 +661 501 4 876036190 +70 88 4 884067394 +318 866 4 884494976 +64 185 4 889739517 +682 379 4 888519260 +595 330 4 886920819 +566 240 3 881651225 +664 513 4 876524053 +717 324 3 884641842 +187 423 4 879465745 +416 686 5 893213444 +194 674 2 879553988 +194 157 4 879547184 +365 476 4 891304278 +373 577 1 877111423 +655 172 4 887477167 +303 127 5 879466523 +698 478 4 886366814 +567 675 4 882426812 +650 194 4 891369588 +94 544 3 891721562 +591 662 3 891031145 +724 305 3 883757259 +152 871 3 884018842 +239 652 5 889178762 +324 331 4 880574827 +727 123 3 883709402 +215 56 5 891436543 +416 476 5 893213796 +676 354 4 892685437 +425 750 2 890346317 +374 403 2 880939126 +109 755 5 880578814 +521 1244 3 884476887 +565 166 4 891037252 +650 210 3 891381585 +178 64 5 882826242 +379 116 4 880525194 +147 304 5 885593942 +633 252 3 875325273 +721 289 3 877137597 +280 8 5 891700303 +532 228 5 893118712 +405 238 5 885545070 +705 560 2 883427951 +709 29 3 879848695 +638 449 2 876694995 +656 875 2 892318842 +498 806 3 881957905 +301 802 2 882078883 +478 655 3 889395541 +69 182 4 882145400 +43 566 3 883955969 +495 416 5 888636899 +666 302 5 880138999 +198 164 3 884208571 +684 934 3 875811158 +655 875 3 888685850 +715 33 3 875964751 +606 562 4 880928181 +617 667 2 883789590 +60 136 4 883326057 +472 313 5 892790628 +622 496 4 882592314 +357 473 3 878951831 +694 671 3 875728989 +650 969 3 891371186 +453 186 4 877554466 +537 741 2 886030199 +13 306 3 881514876 +642 29 5 886454812 +676 748 4 892685538 +711 269 5 879991028 +95 665 2 879196666 +665 216 4 884293690 +648 1092 1 884882502 +191 316 5 891561456 +198 108 3 884206270 +595 844 4 886922069 +102 258 4 875886337 +715 284 4 875962109 +577 85 3 880475170 +429 482 3 882384683 +674 282 5 887763231 +709 22 5 879847946 +143 1038 3 888407656 +391 168 4 877399455 +188 144 3 875071520 +487 727 3 884029774 +493 410 4 884132883 +557 327 3 882458785 +454 392 2 888266991 +7 545 2 891354882 +60 745 5 883327442 +624 328 4 879792131 +466 518 4 890284903 +348 974 4 886523683 +621 624 5 874965093 +388 258 5 886439506 +537 519 3 886030584 +721 333 3 877137358 +365 137 3 891303999 +280 229 3 891702171 +564 344 4 888718521 +617 774 1 883789635 +725 1197 3 876106243 +394 109 4 880889159 +684 371 2 878576866 +60 70 4 883326838 +593 280 3 875660194 +701 297 4 891447197 +506 761 2 874873327 +508 222 3 883777281 +514 486 3 886189869 +538 143 3 877364003 +38 78 5 892433062 +7 652 3 891352659 +96 83 3 884403758 +488 318 4 891293734 +601 64 4 876349503 +305 708 3 886324963 +535 98 2 879617977 +707 531 5 886286214 +601 125 1 876347320 +87 72 3 879876848 +181 476 4 878962996 +503 443 5 879454811 +346 64 4 874948214 +239 180 5 889178833 +164 405 5 889402160 +633 566 3 877212173 +151 82 3 879524819 +16 273 5 877722736 +497 577 2 879363284 +524 513 4 884634938 +416 840 4 886315536 +398 756 3 875654592 +488 96 3 891294014 +13 789 5 882140389 +718 841 4 883349557 +640 126 4 886474802 +682 546 3 888517740 +76 192 5 875027442 +314 318 5 877888796 +682 157 4 888517484 +250 322 3 878089182 +660 132 3 891199683 +357 455 5 878951498 +665 369 4 884291747 +533 150 3 886425704 +608 328 4 880402983 +460 276 5 882912418 +533 239 3 879192157 +280 1217 5 891702544 +573 144 4 885844638 +716 153 4 879796311 +334 740 3 891548678 +395 154 5 883764878 +569 236 4 879793717 +629 182 5 880116818 +291 985 3 874805984 +479 272 4 889125255 +279 1491 5 890451408 +706 245 3 880996945 +291 94 2 875086354 +94 1011 4 891722214 +407 193 3 875046799 +642 597 4 885607065 +109 405 5 880564640 +233 588 5 877661553 +545 393 4 879900891 +279 546 3 875296924 +216 169 3 880233635 +666 515 5 880313230 +680 408 5 876816268 +560 137 4 879976427 +456 427 4 881372779 +719 291 3 884900301 +577 69 4 880474829 +617 631 2 883789212 +708 1051 4 892719193 +658 31 3 875148108 +178 172 4 882826555 +643 69 3 891447430 +592 1085 3 882608625 +276 174 5 874792366 +588 739 4 890025704 +655 129 3 887426008 +693 25 4 883975697 +589 258 2 883352463 +454 528 4 881959818 +207 470 3 879665381 +363 816 1 891498787 +516 169 5 891290685 +501 922 4 883347857 +87 423 3 879877710 +707 83 3 886286926 +709 823 3 879849573 +579 65 3 880951944 +458 597 3 886395022 +711 343 3 882457816 +567 582 3 882426899 +276 346 4 885159545 +639 269 3 891238599 +424 288 1 880858924 +553 186 3 879948552 +24 12 5 875323711 +454 300 4 881958326 +435 720 2 884133818 +707 1176 2 879438910 +727 678 3 883708229 +295 186 5 879517512 +682 70 4 888517416 +643 173 4 891447663 +303 124 4 879466491 +108 405 3 879880157 +449 337 4 880411035 +691 1 5 875543346 +223 243 3 891549079 +474 486 4 887924425 +445 144 3 890987569 +561 425 4 885808000 +3 333 2 889236939 +497 66 3 879362720 +551 1217 1 892784524 +497 225 3 879363510 +655 960 3 887427210 +568 462 4 877907236 +637 273 3 882903250 +674 929 3 887763150 +393 245 3 887742145 +715 756 2 875962280 +566 12 4 881649802 +622 449 2 882592850 +707 427 4 886285907 +622 212 3 882669740 +417 234 4 879646965 +18 223 5 880129731 +347 192 4 881653798 +452 156 4 875261819 +620 674 3 889987586 +141 597 4 884585071 +406 1 4 879446107 +6 173 5 883602462 +660 434 3 891200430 +648 373 3 884883149 +705 265 5 883428154 +181 718 1 878962675 +62 1077 3 879374607 +727 441 2 883711924 +653 765 1 880153207 +417 95 5 879646965 +13 279 5 882139804 +682 188 4 888522417 +499 483 5 885598854 +663 284 4 889492841 +545 746 4 879900321 +269 649 2 891448220 +379 746 3 880961839 +711 1074 3 879995754 +676 313 4 892685224 +727 117 3 883708660 +654 181 3 887863381 +650 648 3 891384201 +697 683 1 882621813 +727 181 3 883708750 +344 516 5 884901311 +472 29 5 875982867 +655 1255 3 887425732 +192 813 4 881367456 +83 864 4 883954588 +85 657 4 879454189 +472 63 4 875982511 +663 405 3 889492877 +148 168 5 877015900 +271 847 4 885847926 +625 945 3 891262724 +639 191 3 891239109 +90 482 5 891383204 +140 873 2 879013719 +545 97 3 879901865 +324 411 5 880575589 +489 313 4 891362740 +6 268 3 883268406 +655 1344 3 887474020 +554 864 4 876231993 +682 651 4 888517168 +720 872 3 891262780 +564 472 4 888730658 +568 301 1 877906737 +432 1 2 889415983 +429 141 3 882386966 +416 28 5 893212730 +698 210 5 886366690 +450 455 4 882376188 +521 25 2 884476002 +162 79 4 877636713 +632 357 4 879456844 +575 50 2 878148258 +718 975 2 883349301 +141 346 1 886447613 +560 100 5 879975752 +213 164 5 878956300 +588 395 4 890030781 +478 26 5 889396212 +712 213 3 876251366 +645 956 4 892053310 +407 250 4 890687564 +436 265 3 887769106 +680 248 4 877075312 +729 328 3 893286638 +334 9 4 891544707 +537 47 4 886030768 +716 707 4 879795121 +694 199 5 875728435 +623 183 3 891034294 +693 333 3 875481397 +49 428 5 888068791 +694 50 5 875730386 +727 105 1 883709884 +299 513 4 877881228 +682 222 4 888519725 +532 771 3 874791172 +435 977 2 884134829 +296 127 5 884196489 +199 313 4 883782557 +7 230 3 891353326 +619 118 5 885953827 +328 1518 3 885049503 +659 699 3 891384499 +551 328 5 892775584 +466 346 3 890283056 +387 742 2 886481105 +174 905 3 890168415 +675 531 5 889489108 +399 179 3 882344406 +298 423 5 884183063 +650 659 3 891369798 +718 222 4 883348712 +476 85 2 883364433 +524 640 1 884636541 +650 233 2 891370243 +642 391 4 885607143 +380 1116 4 885479397 +136 127 5 882693404 +693 432 4 875484908 +648 24 3 882211532 +727 720 2 883712037 +145 894 1 883840965 +601 151 3 876346930 +586 238 2 884059027 +393 377 3 889728200 +554 220 3 876232109 +234 1369 3 892333765 +292 499 5 881105245 +659 762 3 891387227 +663 280 3 889492841 +727 1119 3 883711923 +521 191 4 884477868 +30 683 3 885941798 +650 195 4 891369442 +142 7 4 888640489 +499 132 4 885599040 +637 150 1 882903447 +592 181 3 882608182 +523 533 4 883700395 +716 836 4 879795425 +613 127 4 891227204 +655 656 3 887430072 +711 483 5 879992739 +52 919 5 882922140 +141 930 4 884585247 +606 748 3 880921753 +502 300 2 883701980 +609 319 1 886895516 +643 155 2 891449345 +540 294 4 882156617 +478 451 5 889396282 +405 1107 1 885546635 +600 241 5 888451582 +618 955 2 891307540 +557 887 3 881179118 +567 357 2 882425901 +727 68 4 883710347 +339 1135 2 891033898 +711 229 3 879995461 +416 707 4 876699179 +615 275 4 879447872 +501 840 4 883348655 +726 355 3 889829235 +56 229 3 892676340 +486 1086 3 879874482 +303 956 4 879466421 +590 9 3 879438972 +159 405 5 880557564 +704 304 2 891396595 +682 581 2 888517948 +716 602 5 879795691 +450 197 5 882374059 +561 180 4 885807261 +537 581 3 886031886 +416 815 4 876697243 +622 403 4 882592735 +639 274 1 891240495 +595 411 3 886921448 +655 175 3 887426931 +443 343 5 883504771 +639 796 1 891240805 +715 175 3 875962964 +81 186 5 876534783 +498 425 2 881957431 +164 282 5 889401927 +479 187 4 879460785 +542 625 3 886533588 +699 678 3 879147032 +694 200 4 875726968 +707 140 2 886287191 +655 330 2 887425295 +59 191 4 888204841 +284 687 3 885329902 +114 474 5 881260170 +115 317 5 881171137 +666 410 2 880313447 +655 516 2 887523581 +480 462 4 891208520 +567 811 4 882426210 +647 250 3 876532975 +676 688 1 892685695 +642 559 5 885604874 +643 420 4 891449803 +338 488 5 879438449 +622 143 4 882670228 +646 258 3 888528417 +568 603 5 877907157 +83 235 1 883867920 +315 23 5 879821193 +659 805 5 891383561 +654 56 4 887864414 +724 342 3 883757874 +256 678 5 882150192 +279 130 1 892864707 +579 676 3 880951784 +283 866 3 879297867 +464 984 2 878354681 +453 12 5 877553813 +327 99 4 887820761 +500 569 4 883876370 +566 393 2 881651434 +684 625 3 878760041 +727 125 4 883710598 +600 188 4 888451750 +174 70 5 886453169 +669 508 3 892549292 +234 173 3 892334577 +644 1610 3 889077115 +345 9 4 884900976 +634 287 3 877018059 +392 615 5 891038371 +301 678 2 882075386 +450 86 4 887660440 +243 151 3 879987397 +102 200 3 888803051 +557 322 3 880485052 +648 479 4 884368538 +502 751 3 883702120 +588 142 5 890024117 +593 846 2 875660295 +429 79 4 882385243 +21 853 5 874951658 +472 392 4 875981503 +600 541 1 888451977 +328 723 3 885047223 +655 1642 4 888474934 +339 939 4 891034115 +437 204 5 880141528 +524 111 5 884323426 +608 213 4 880404693 +450 432 4 882377861 +92 428 4 875653519 +291 93 4 874805927 +675 509 5 889489465 +638 265 5 876695216 +579 1446 2 880952165 +87 577 4 879877127 +274 258 5 878944379 +409 179 5 881107817 +504 485 4 887839745 +54 252 3 880937630 +437 318 4 880140466 +593 476 2 875659943 +679 327 4 884312731 +699 749 3 893140897 +561 277 3 885809223 +429 419 4 882385293 +665 97 2 884294329 +557 334 4 881179362 +722 124 4 891280842 +15 931 1 879456507 +331 302 5 877196819 +181 305 2 878961542 +555 762 4 879964159 +527 425 4 879455792 +645 203 4 892053456 +693 69 3 875482336 +686 234 4 879546715 +110 161 5 886988631 +513 250 3 885062332 +130 475 3 874953595 +630 255 5 885666740 +729 689 4 893286638 +303 281 3 879543375 +658 70 3 875148196 +655 38 2 887429875 +712 465 4 874957113 +247 64 5 893097024 +13 444 4 882396984 +391 213 4 877398856 +591 487 4 891031203 +611 333 4 891636073 +621 333 4 890517503 +728 508 4 879443265 +212 269 3 879303468 +457 629 4 882397177 +256 460 4 882153987 +313 452 3 891029993 +57 678 3 883696547 +542 13 4 886533002 +650 679 3 891381709 +653 282 3 884405616 +116 896 2 890632896 +397 688 1 875063649 +627 121 3 879531397 +590 515 3 879438972 +708 535 2 877325838 +618 966 4 891307931 +416 990 2 876696739 +614 1134 2 879464556 +397 989 1 875063722 +648 367 3 884881837 +419 405 3 879435503 +426 133 5 879441978 +43 473 3 884029309 +563 118 4 880506863 +450 287 4 887660504 +657 1 3 884239123 +588 602 3 890015580 +561 710 4 885809897 +693 1232 2 875483114 +608 655 5 880405395 +660 153 4 891200388 +453 24 4 877553108 +13 797 5 882398327 +487 747 4 883531466 +653 476 2 878855211 +458 208 4 886395963 +682 124 2 888517097 +683 350 2 893284184 +405 377 1 885547690 +406 228 3 884630974 +545 258 3 879898617 +201 637 3 884112627 +97 100 2 884238778 +468 195 5 875291902 +405 1572 1 885549635 +181 292 1 878961781 +664 172 5 878090054 +429 178 4 882384772 +688 339 5 884153712 +551 272 5 892775389 +679 121 2 884488260 +13 561 1 882396914 +269 122 1 891446873 +92 735 3 875656121 +653 458 2 878866475 +293 265 3 888906193 +567 493 4 882426719 +152 284 5 880149045 +268 257 4 875742866 +581 9 5 879641787 +716 160 2 879797303 +300 833 4 875650329 +486 275 4 879874582 +660 357 2 891200014 +256 243 4 882150193 +286 70 5 877531975 +562 98 4 879195081 +397 134 5 885350132 +533 31 3 879191265 +246 1188 3 884924001 +658 718 3 875145667 +716 499 4 879796942 +615 306 4 879447556 +707 467 4 886286057 +702 294 1 885767555 +193 580 4 889127270 +567 174 1 882426869 +263 602 4 891298592 +524 133 5 884634968 +455 747 4 879111422 +230 451 4 880485402 +436 441 3 887772060 +286 946 3 889652221 +405 1218 5 885547360 +272 654 5 879454977 +425 316 4 890346705 +682 1437 2 888521942 +727 367 3 883712430 +294 252 4 877820240 +655 187 5 888474357 +588 1428 5 890032056 +592 338 2 882607647 +581 221 2 879642274 +456 79 3 881373228 +691 294 4 875542868 +234 473 5 892334976 +455 12 3 879111123 +479 215 3 879461651 +333 269 2 891044134 +637 1102 3 882904537 +472 240 4 875979187 +108 740 3 879880055 +727 217 3 883712913 +643 94 4 891450240 +327 311 3 887737629 +546 690 2 885139693 +257 60 5 879547440 +23 194 4 874786016 +704 211 5 891398726 +389 396 3 880089037 +109 636 5 880581817 +603 385 4 891957012 +627 461 3 879530042 +351 312 5 883356784 +682 29 2 888522699 +35 748 4 875458970 +727 933 1 883709009 +637 744 4 882903044 +457 931 2 882395916 +303 845 4 879485221 +703 293 4 875242990 +314 53 1 877891426 +684 111 4 878760164 +271 73 2 885848707 +658 943 3 875148196 +437 614 5 880139951 +429 232 4 882385859 +101 979 2 877136711 +354 518 3 891217340 +411 208 4 891035617 +548 313 5 891044304 +674 25 4 887763035 +548 591 3 891415465 +711 1466 4 883589693 +637 405 1 882903250 +567 475 4 882426508 +716 416 3 879796354 +543 38 3 877545717 +694 121 5 875726886 +128 742 3 879967197 +417 1086 4 879646369 +216 79 4 880235381 +220 332 3 881198246 +352 92 3 884289728 +478 222 2 889387931 +121 135 5 891388090 +561 356 1 885809752 +634 50 4 877018347 +661 310 2 889500835 +87 1179 3 879877127 +610 271 1 888702795 +313 331 3 891013013 +506 578 3 885135881 +145 331 3 879161554 +49 77 1 888068289 +514 283 4 875309231 +299 1036 2 889503856 +308 506 4 887738191 +537 198 2 886030652 +343 1039 5 876404689 +629 64 5 880117513 +721 403 4 877139638 +345 293 4 884994592 +714 252 3 892777619 +709 28 5 879847946 +606 191 5 880923988 +430 258 4 877225570 +716 470 4 879797152 +616 260 3 891224864 +159 250 3 881679988 +113 289 2 875075887 +632 404 5 879459544 +184 492 4 889908947 +689 151 3 876676501 +391 661 5 877398898 +588 417 5 890026009 +658 515 5 875145493 +280 575 2 891702422 +711 699 5 879993728 +279 410 5 890780547 +665 133 3 884294771 +269 1428 5 891447409 +587 905 3 892871503 +592 483 5 882955613 +307 168 5 879283798 +623 298 2 891032433 +479 602 4 879461492 +187 23 4 879465631 +665 194 3 884294671 +474 50 5 887915221 +332 294 5 887916324 +629 147 5 880117534 +647 134 4 876534275 +305 1 5 886323153 +429 468 3 882384896 +650 780 2 891389237 +717 293 5 884715103 +716 503 3 879795071 +579 709 5 880952142 +8 177 4 879362233 +664 481 5 878091912 +560 429 3 879975485 +343 127 5 876404464 +468 22 5 875287686 +269 509 4 891447280 +483 274 4 878953129 +585 171 3 891285491 +648 578 4 884882987 +707 186 3 886286133 +619 257 3 885953805 +648 265 4 884796886 +655 60 3 887564614 +73 268 3 888625754 +571 174 4 883354940 +394 411 4 881058969 +89 181 4 879441491 +529 310 4 882534996 +570 243 1 881262557 +490 475 4 875427629 +684 237 5 875811158 +684 94 3 878762183 +514 342 1 885180909 +144 651 4 888105197 +712 399 5 874956872 +535 447 5 879617574 +712 542 4 874956543 +483 480 3 878953862 +711 137 5 886030557 +567 836 3 882426998 +243 280 1 879987148 +727 585 2 883713257 +353 333 4 891402757 +738 188 3 875350456 +551 90 1 892784199 +648 117 2 882211301 +618 91 4 891309756 +695 882 4 888805836 +519 339 3 883248222 +468 25 5 875280214 +601 820 1 876348316 +488 659 3 891293771 +537 83 4 886030891 +56 144 5 892910796 +694 275 4 875727640 +41 276 2 890687304 +457 190 5 882396602 +659 661 5 891331916 +408 270 5 889679683 +314 65 4 877888855 +374 282 5 880392936 +493 188 5 884131314 +650 739 2 891384328 +170 258 3 884104016 +389 1197 3 880165664 +643 49 3 891449848 +719 126 2 884900234 +699 112 3 884152976 +41 1039 3 890687642 +689 471 4 876676433 +472 101 5 875981624 +21 983 2 874951416 +699 235 3 878882272 +11 25 3 891903836 +473 319 3 878156824 +78 237 5 879634264 +643 1074 2 891448630 +587 340 5 892871141 +665 127 4 884292654 +453 94 4 877561956 +618 44 4 891308791 +606 239 4 880926339 +234 56 3 892078837 +577 217 5 880475363 +383 514 5 891192949 +738 651 4 892957752 +169 683 3 891268976 +567 521 3 882425701 +311 581 3 884366137 +541 1074 1 884046888 +676 344 5 892685657 +466 22 5 890284706 +671 578 3 884036411 +339 144 3 891033794 +648 615 4 884796652 +619 55 1 885954053 +81 269 3 876533229 +588 315 4 890014591 +727 208 4 883711240 +559 69 5 891034003 +450 807 4 887834823 +101 278 2 877136737 +463 744 3 877385457 +721 317 4 877147872 +48 289 1 879434252 +386 273 3 877655028 +621 71 3 874965208 +679 357 5 884486812 +487 1 5 883443504 +504 70 3 887838869 +561 10 3 885808766 +640 249 4 886474493 +474 685 3 887915784 +379 186 5 880740495 +690 204 3 881177430 +599 975 5 880952357 +707 496 3 886286433 +671 576 5 884035939 +235 971 4 889656113 +655 228 3 887429594 +169 134 5 891359250 +479 472 1 879460354 +456 1057 3 881372191 +618 117 5 891307494 +498 156 5 881957054 +542 80 3 886533142 +270 200 5 876956360 +468 150 5 875280309 +655 610 4 887432283 +456 268 5 887165395 +642 1285 4 886132043 +586 250 3 884057661 +14 762 3 876964936 +76 6 5 875028165 +333 174 5 891045082 +648 568 5 882212651 +546 250 4 885141260 +379 63 2 880962215 +660 80 1 891201796 +719 66 3 888454637 +305 300 3 886307828 +342 98 3 874984261 +354 143 4 891217547 +343 67 3 876407663 +416 1058 5 893213019 +235 153 4 889655662 +222 678 3 877562973 +514 527 4 875462466 +479 198 5 879460939 +659 1119 4 891383674 +339 205 5 891033629 +543 474 5 875665787 +594 181 3 874781076 +467 273 4 879532565 +664 64 4 876524474 +468 191 4 875287686 +504 961 4 887839081 +410 873 4 888627138 +422 396 4 879744143 +90 660 4 891385652 +686 588 4 879546497 +480 705 4 891208520 +23 96 4 874785551 +77 1 5 884732808 +713 1431 3 888881939 +592 221 5 882608357 +632 423 4 879459003 +655 1629 3 887427083 +489 358 5 891445439 +666 864 3 880313523 +48 56 3 879434723 +736 181 2 878708646 +486 1171 3 879874417 +720 258 4 891262762 +262 278 3 879790741 +551 331 5 892775584 +504 88 3 887909839 +569 1014 3 879795581 +207 226 2 877125390 +181 885 1 878962006 +734 82 4 891022704 +276 382 4 874791236 +176 289 3 886047292 +144 357 4 888105254 +588 846 4 890025621 +270 665 4 876956419 +728 282 4 879443291 +654 284 4 887863914 +547 332 3 891282681 +339 1404 5 891034592 +640 684 4 874778568 +311 655 4 884365406 +147 750 5 885593812 +688 678 5 884153750 +84 744 4 883449965 +87 845 4 879876564 +425 686 3 878738757 +505 177 3 889334477 +514 156 4 875311225 +229 937 2 891632347 +195 358 2 883463275 +543 313 3 887912223 +524 118 4 884627463 +708 280 4 877325316 +405 770 1 885548048 +452 73 3 875277472 +607 485 3 883879442 +82 473 2 878768765 +637 546 1 882905182 +650 1126 4 891369620 +671 182 4 884035685 +374 412 4 883627129 +435 448 3 884132230 +370 136 4 879434999 +42 38 3 881109148 +437 402 2 880143263 +537 6 2 886029806 +550 328 5 883425652 +499 887 5 882995826 +524 382 3 884636596 +416 211 5 893214041 +201 65 4 884113806 +374 235 3 880394301 +707 1397 1 886289521 +712 728 4 874956384 +178 435 4 882827043 +235 1 4 889655571 +655 629 3 887428559 +536 472 3 882319003 +533 1047 3 887032276 +721 681 3 877137214 +701 304 4 891446679 +659 143 5 891384973 +470 150 5 879178406 +425 209 2 890347085 +658 318 4 875148196 +682 748 3 888516814 +653 416 1 880152426 +184 655 3 889908630 +526 328 2 885682006 +308 588 5 887738893 +661 709 4 886841685 +281 690 5 881200264 +543 302 4 887912238 +561 371 1 885809426 +606 628 4 878143729 +450 51 4 882377358 +327 663 4 887819582 +99 651 5 885679833 +393 949 3 889731465 +109 161 3 880572756 +346 1232 1 875264262 +141 100 4 884584688 +543 531 4 874864347 +705 50 4 883427012 +559 153 3 891035708 +705 172 3 883427663 +705 627 3 883427932 +276 1481 2 877934446 +532 346 5 885761690 +655 717 1 887430830 +639 155 3 891239638 +223 535 3 891549876 +618 692 4 891309091 +618 276 3 891309266 +239 632 5 889181015 +695 338 2 888806270 +650 222 4 891369924 +406 611 3 879446268 +184 591 3 889907711 +126 681 5 887938392 +442 217 3 883390083 +447 469 4 878856394 +392 345 4 891037385 +373 202 3 877099352 +194 29 2 879528342 +588 483 4 890015500 +345 303 4 884900448 +466 182 4 890284706 +210 684 3 887737171 +635 886 4 878878901 +79 258 5 891271308 +457 588 5 882397411 +51 136 4 883498756 +233 318 5 877665324 +313 28 3 891016193 +190 696 3 891042883 +574 310 4 891279012 +642 729 3 885603566 +43 418 4 883955387 +590 287 4 879439645 +655 150 3 888893279 +727 692 4 883711240 +730 298 4 880310426 +236 97 5 890118228 +688 332 5 884153712 +548 1089 2 891044049 +505 202 3 889333508 +486 880 5 879874112 +172 425 1 875536591 +743 321 2 881277690 +488 181 4 891376029 +74 340 5 888333194 +291 1209 1 875086308 +279 926 4 875296696 +399 79 3 882512214 +533 356 4 879191652 +78 880 5 879633600 +376 328 3 879433164 +698 177 1 886367366 +100 258 4 891374675 +539 303 5 879787770 +125 8 4 879454419 +622 597 5 882591687 +244 26 5 880606274 +41 238 5 890687472 +693 183 2 875483301 +110 326 4 886987417 +577 228 3 880474338 +222 571 2 881060823 +30 252 3 875140740 +100 900 4 891374832 +625 647 4 891263822 +686 170 5 879547043 +456 121 2 881372052 +682 356 3 888517986 +94 286 4 891724122 +707 170 5 886285824 +201 160 5 884113368 +472 1047 4 875979082 +682 573 4 888521116 +425 195 4 878738245 +717 268 5 884642133 +454 526 4 881959698 +173 334 4 877556926 +207 293 2 878104486 +650 198 4 891381546 +274 597 3 878946133 +716 163 4 879795949 +452 863 5 885816769 +393 203 4 887746091 +693 162 3 875482912 +653 77 3 880152843 +383 134 5 891192778 +553 136 4 879948655 +561 175 4 885807429 +650 234 4 891369890 +405 851 1 885549407 +577 140 4 880475043 +653 64 4 878867272 +615 211 5 879449164 +634 325 1 877974690 +630 595 5 885667660 +589 272 5 883352535 +588 386 2 890029445 +642 1219 4 885603932 +606 157 4 880926018 +301 68 4 882076558 +541 1053 3 883865317 +13 762 5 882141336 +318 1048 4 884495001 +151 1 5 879524151 +716 157 3 879796914 +378 755 3 880056073 +445 237 2 891199906 +577 8 4 880474257 +566 54 3 881651013 +271 747 3 885849087 +528 210 5 886101976 +286 198 4 877533887 +521 1014 3 884476320 +578 323 3 888957735 +611 344 5 891636073 +416 794 5 893213019 +64 31 4 889739318 +110 692 4 886988937 +705 233 3 883428154 +514 435 3 875463551 +554 222 4 876231802 +642 218 3 886130929 +151 642 3 879524713 +660 559 2 891201069 +703 294 2 875242281 +293 187 3 888905865 +604 200 1 883668261 +604 164 4 883668175 +639 313 1 891238514 +537 87 3 886030622 +698 485 4 886367473 +409 608 4 881107155 +593 4 4 877728878 +593 140 4 875671226 +721 305 3 877137285 +697 1059 2 882622208 +83 828 3 883868208 +675 305 4 889488548 +528 185 4 886101652 +586 761 3 884062742 +622 89 5 882669740 +533 197 5 882902988 +655 778 2 890497653 +276 29 3 874796373 +42 468 4 881108346 +537 32 3 886031178 +527 169 4 879455961 +671 405 3 884035939 +541 1078 4 883874834 +666 31 3 880314500 +508 154 5 883767704 +409 23 4 881109175 +711 25 4 876185920 +716 628 3 879793376 +721 632 4 877147675 +672 864 3 879789278 +234 44 3 892335707 +642 1 5 885603565 +677 150 3 889399402 +536 98 4 882360029 +7 668 4 891352778 +478 410 3 889388357 +655 739 4 891585450 +214 1017 4 891543156 +454 1105 3 888015988 +653 449 3 880153740 +308 151 4 887741795 +491 129 4 891185170 +697 123 5 882622016 +666 191 4 880139090 +742 258 5 881005590 +405 1441 1 885546835 +7 635 3 891352864 +454 742 3 888267315 +290 191 3 880474235 +181 932 1 878963121 +707 1628 5 886287353 +271 956 4 885848997 +328 229 3 885046977 +416 955 4 876699839 +498 53 4 881961689 +540 1014 4 882157224 +334 257 4 891544764 +145 678 2 879161675 +737 428 4 884315066 +708 1 5 877325375 +453 1170 3 877562135 +655 42 3 887428184 +679 169 3 884486904 +293 121 3 888905198 +334 710 3 891548295 +389 591 3 879915726 +708 938 3 892718896 +129 748 2 883245452 +478 568 5 889396615 +415 432 4 879439610 +537 404 3 886031720 +682 291 1 888517364 +313 696 3 891032028 +601 22 4 876348820 +579 82 3 880951783 +234 172 3 892078837 +533 237 2 879193048 +456 789 3 881374522 +551 24 5 892783142 +59 736 5 888205145 +655 1462 3 887429077 +439 293 3 882892818 +683 321 5 893286207 +651 268 2 880126473 +531 748 4 887049081 +276 219 4 874792692 +687 336 2 884652144 +280 71 4 891700818 +254 416 4 886472713 +297 211 4 875240090 +90 490 5 891383753 +527 466 2 879455765 +119 1244 3 874781037 +502 350 3 883701792 +514 431 4 875463595 +529 876 3 882535466 +642 56 4 885602656 +422 294 3 875129692 +343 7 5 876402941 +138 137 5 879023131 +541 941 4 883865394 +644 289 1 889076364 +630 295 4 885666875 +457 410 4 882393937 +142 259 3 888640104 +569 268 3 880559356 +497 204 3 879362683 +564 831 3 888730658 +459 258 3 879561574 +237 474 5 879376327 +711 488 4 879992407 +395 458 3 883765731 +467 327 4 879532164 +405 438 1 885548384 +484 746 4 891195179 +276 122 3 874787150 +426 168 3 879444081 +712 181 5 874729901 +279 710 4 890451408 +500 479 5 883873811 +655 1532 2 887476999 +213 69 3 878955534 +716 663 5 879795467 +303 111 3 879467639 +715 425 4 875964655 +342 3 2 875318606 +347 742 5 881652610 +588 873 3 890014887 +666 209 4 880139205 +567 192 4 882426021 +31 262 5 881547766 +661 222 3 876013121 +671 298 4 875389187 +659 393 3 891387054 +409 607 5 881107697 +69 1144 5 882126156 +716 471 2 879795375 +426 631 3 879442006 +354 855 4 891306852 +707 486 3 886287662 +354 246 4 891216607 +290 117 3 880474799 +403 472 4 879790319 +158 325 4 880133920 +705 385 4 883428084 +521 168 4 884477585 +605 282 4 879424743 +535 631 5 879619176 +536 82 4 882360929 +313 202 5 891014697 +338 286 4 879437522 +495 11 5 888634536 +733 10 3 879535559 +245 300 4 888513026 +734 204 4 891022938 +184 632 5 889913687 +500 775 1 883877001 +284 303 5 885328991 +303 395 2 879544080 +745 492 5 880123572 +42 926 3 881105766 +297 535 3 874954814 +435 182 4 884131356 +159 948 2 880485344 +435 206 5 884133223 +1 192 4 875072547 +268 208 4 875309430 +268 223 3 875745728 +637 535 2 882905573 +543 582 3 874863550 +265 748 5 875320112 +736 296 4 878709365 +552 1048 3 879221683 +235 923 4 889656132 +655 1131 5 887428772 +58 1084 4 884304896 +84 411 2 883452516 +664 127 5 876525044 +734 99 4 891023086 +26 148 3 891377540 +654 468 4 887864757 +291 1305 3 875086766 +521 7 3 884475973 +1 178 5 878543541 +478 843 5 889397582 +713 1434 3 888882133 +130 1088 2 876250805 +402 12 4 876266826 +360 1149 4 880356025 +354 109 3 891216692 +487 347 2 884806595 +653 517 1 880150330 +90 59 5 891383173 +62 1129 5 879372060 +604 48 5 883667946 +711 1152 1 879991762 +721 690 3 877136967 +379 514 3 880961718 +204 288 3 892389137 +394 28 4 880886821 +718 926 2 883348912 +405 659 4 885544739 +494 65 5 879541207 +676 948 1 892685803 +363 210 4 891494905 +638 234 4 876695627 +650 98 4 891369798 +708 326 4 892719007 +655 522 3 887426900 +690 239 2 881177532 +708 871 1 892719101 +456 234 3 881373473 +586 160 4 884066360 +405 1147 2 885546069 +169 50 5 891359250 +43 69 4 875981421 +537 942 3 886031913 +659 636 3 891387400 +268 860 1 875744501 +586 181 4 884057344 +405 745 1 885547506 +623 283 4 891032275 +62 949 4 879376210 +145 246 4 888397946 +745 190 5 880123905 +463 248 3 889935953 +645 91 3 892054990 +380 443 4 885480283 +615 526 4 879448735 +533 747 5 879438767 +664 268 3 876523093 +504 490 4 887909816 +200 202 5 884129275 +738 367 3 875351346 +694 48 4 875726759 +618 763 2 891309319 +130 1275 5 876252288 +207 1435 2 877821612 +389 1204 4 880165411 +320 122 3 884749097 +250 12 5 878090499 +655 806 3 887523224 +523 634 5 883700743 +442 144 4 883390328 +548 340 1 891042794 +601 673 1 876351264 +539 124 4 879788480 +270 1073 5 876955202 +422 151 4 875130173 +121 717 5 891390688 +123 64 3 879872791 +387 410 3 886480789 +685 334 1 879451168 +638 550 5 876695059 +683 900 1 893282740 +293 789 2 888906071 +592 150 5 882607955 +21 656 5 874951797 +328 427 3 885045740 +416 172 5 893213796 +506 1136 3 877539905 +92 193 4 875654222 +705 151 3 883427134 +504 53 4 887911730 +374 323 3 880392482 +566 163 5 881649622 +460 242 4 882910838 +620 975 3 889987852 +224 1381 3 888104589 +655 880 2 887523271 +450 606 5 882371904 +645 518 5 892055285 +565 652 5 891037563 +291 722 4 875086460 +650 183 4 891369924 +491 124 5 891185170 +533 1173 4 885820219 +655 1490 2 887489792 +321 357 4 879439832 +659 942 3 891386347 +188 678 3 875071361 +587 690 3 892871252 +1 5 3 889751712 +645 168 4 892054797 +606 1190 3 889137308 +537 882 4 886028791 +244 1 4 880604405 +686 134 5 879545340 +716 97 4 879794996 +660 164 2 891200307 +429 961 3 882385518 +343 288 2 876402428 +597 1534 1 875341758 +311 630 5 884365929 +712 790 4 874956931 +343 56 5 876404880 +637 1233 5 882900888 +625 255 2 891629673 +106 28 4 881451144 +486 248 4 879874663 +618 195 3 891308431 +716 484 4 879795867 +710 116 4 882063852 +313 63 4 891030490 +740 319 3 879522781 +59 458 4 888203128 +735 1 4 876698796 +83 56 1 886534501 +314 1074 3 877890857 +529 270 4 882535304 +351 989 4 883356684 +393 22 4 887745973 +253 1404 3 891628651 +684 722 2 878762302 +7 575 3 892133271 +653 214 3 880151311 +95 58 3 879197834 +385 1110 2 879446566 +232 1149 5 888549674 +693 11 4 875482197 +271 462 4 885848448 +235 179 5 889656028 +412 182 4 879716983 +588 433 5 890024246 +454 77 4 888266955 +538 385 3 877108345 +715 73 4 875964410 +551 1419 1 892785332 +543 56 5 874866535 +561 362 2 893105375 +705 8 3 883427904 +698 751 3 886365557 +437 707 3 880141374 +292 48 5 881105318 +7 672 1 892131925 +502 258 2 883701927 +645 627 2 892055244 +280 764 4 891701685 +560 489 3 879975662 +562 218 4 879196576 +429 1071 2 882385729 +590 125 3 879439509 +65 1044 3 879217002 +463 1244 1 890530329 +490 293 2 875427993 +619 568 5 885954083 +641 192 4 879370150 +648 177 5 884882702 +533 423 5 888844906 +520 286 5 885168591 +524 1113 3 884636236 +472 404 3 875982922 +298 208 5 884182867 +507 333 4 889964121 +222 180 3 878181804 +270 1074 5 876955770 +707 1171 3 880059687 +663 272 5 889491515 +716 381 4 879795644 +435 1268 5 884131950 +294 827 1 889243393 +43 699 4 883956040 +606 71 5 880923745 +458 134 5 886395963 +661 238 4 876016491 +13 87 5 882398814 +624 147 4 879792557 +610 275 4 888703453 +255 300 3 883215358 +455 276 4 879109594 +393 977 4 887745501 +697 1245 1 882622526 +620 740 5 889987349 +503 70 4 880383174 +453 9 3 888207161 +697 754 3 882621431 +67 235 3 875379643 +13 631 3 882140624 +665 748 4 884290076 +493 684 4 884132267 +472 1058 4 875980081 +167 735 4 892738277 +279 33 4 875308510 +536 188 3 882359755 +666 502 3 880567883 +478 616 4 889398260 +689 597 4 876676165 +515 900 4 887658975 +92 9 4 875640148 +634 756 3 875729749 +712 785 5 874730206 +712 82 5 874730031 +658 129 3 875145750 +305 684 3 886323591 +551 11 5 892777052 +342 327 4 874984025 +83 259 2 883869199 +459 1115 3 879563506 +664 92 4 876525002 +132 521 4 891278996 +586 468 3 884066087 +590 127 4 879439645 +234 1285 3 892335764 +457 473 4 882395360 +115 980 4 881169984 +222 294 3 877562795 +634 762 3 879787667 +43 550 3 883956040 +500 709 4 883873640 +60 378 4 883327566 +541 1442 1 884046888 +238 294 3 883575813 +363 208 4 891496190 +613 126 5 891227338 +734 419 4 891023066 +92 575 2 875907763 +695 301 3 888806120 +589 243 3 883352735 +82 1078 3 878769748 +624 1028 3 879793485 +94 928 3 891723774 +130 2 4 876252327 +683 306 3 893286347 +504 1084 4 887837958 +710 300 3 882063407 +644 293 4 889076851 +497 11 3 879310825 +480 661 4 891208327 +648 407 4 884367248 +151 290 1 879543400 +490 181 4 875427873 +184 223 4 889911195 +663 243 3 889492076 +527 182 5 879456132 +496 96 4 876065881 +469 582 5 879524266 +310 50 5 879436177 +144 98 4 888105587 +747 228 4 888639736 +699 495 3 878883113 +160 276 5 876768106 +7 434 4 891352384 +439 1328 4 882893891 +197 332 2 891409290 +59 321 4 888206764 +473 9 5 878157357 +655 753 3 887860615 +5 387 3 875637419 +189 175 5 893265506 +393 1051 3 887745544 +621 763 4 880738462 +103 181 4 880415875 +544 323 2 884796016 +655 1535 3 887429023 +59 774 2 888206562 +723 28 3 880498970 +497 373 4 879311007 +608 1183 1 880405484 +398 168 3 875658967 +607 498 4 883879556 +658 45 5 875147800 +606 25 5 878149689 +85 707 4 879454350 +739 359 5 886825529 +606 925 4 880922566 +474 86 4 887927456 +710 200 4 882063793 +243 477 4 879987736 +592 898 2 887257199 +536 62 4 882360873 +175 195 3 877107790 +655 1600 3 888474286 +188 928 3 875074847 +632 215 4 879458834 +653 506 2 880606619 +605 1226 4 879510864 +526 544 1 885682477 +711 707 5 879993579 +694 699 4 875728639 +178 229 4 885784558 +155 331 3 879370860 +316 531 5 880853704 +10 60 3 877892110 +506 423 5 874874850 +429 70 4 882386401 +740 748 3 879522872 +230 588 5 880484683 +503 753 1 880383064 +201 473 3 884141470 +145 111 3 875270322 +503 504 4 880472298 +655 1560 2 887429136 +669 82 4 892550310 +699 258 5 883278844 +374 1001 1 882158327 +179 300 4 892151231 +503 702 2 880383236 +749 2 4 878849375 +654 22 5 887864292 +332 230 5 888360342 +144 307 1 888103407 +10 708 4 877892438 +377 194 5 891298549 +617 145 1 883789716 +1 87 5 878543541 +748 154 3 879454602 +709 816 2 879848318 +487 1016 5 883444515 +459 117 5 879563146 +567 469 4 882426837 +675 1653 5 889489913 +632 181 5 879457016 +321 182 3 879439679 +603 1483 5 891956283 +537 1045 3 886032154 +676 169 5 892686524 +697 277 5 882622581 +661 200 3 876035896 +521 8 3 884477914 +276 72 4 874791960 +378 31 4 880045652 +630 895 4 885666143 +546 977 5 885140939 +648 238 3 882213535 +512 56 5 888579996 +548 344 1 891042530 +619 252 3 885953878 +301 546 4 882078228 +745 215 3 880123751 +405 45 1 885549506 +718 300 5 883348269 +490 1067 2 875428309 +457 235 3 882395894 +724 311 1 883757597 +618 11 4 891307263 +646 347 2 888528392 +707 995 4 879439418 +23 162 3 874786950 +378 674 3 880056735 +691 56 4 875543025 +234 1452 4 892335342 +321 283 3 879438987 +416 781 4 893142283 +121 411 1 891390544 +435 625 2 884132588 +655 700 3 887523200 +486 1082 2 879875221 +374 2 4 880939035 +493 183 5 884132225 +417 219 3 879648979 +716 969 4 879794815 +577 191 4 880472055 +694 22 5 875726759 +536 443 3 882360833 +222 56 5 878182058 +616 348 3 891224801 +735 258 4 876697561 +385 652 5 881530738 +63 596 2 875747470 +488 514 2 891294063 +577 194 4 880474216 +301 412 4 882075110 +405 351 1 885549942 +416 1469 3 878880195 +734 98 4 891025247 +747 25 3 888639318 +682 697 4 888517816 +715 217 2 875963452 +650 546 1 891382877 +488 724 3 891375751 +718 111 4 883348634 +621 109 4 880737607 +749 56 2 878847404 +373 946 5 877104048 +447 629 3 878855907 +748 528 3 879454880 +389 56 5 880086868 +608 136 3 880403280 +648 70 2 884881592 +680 274 3 877075312 +621 53 4 874964496 +326 419 3 879875203 +660 228 3 891200193 +462 259 3 886365773 +717 322 5 884642133 +587 691 4 892871031 +214 173 4 892668249 +280 528 3 891700553 +95 216 5 880573287 +13 668 1 882397068 +499 50 3 882996761 +311 499 4 884365519 +534 286 3 877807602 +266 319 2 892256765 +601 154 5 876350017 +399 31 3 882345649 +704 461 3 891397712 +69 234 5 882145505 +24 92 5 875323241 +654 13 1 887863780 +92 95 3 875653664 +644 291 4 889076949 +450 1435 4 882471362 +666 1011 4 880313723 +707 799 4 886287876 +716 187 3 879795189 +479 1608 2 889125499 +201 436 3 884112627 +339 131 5 891033382 +665 117 4 884290575 +328 597 3 885048465 +435 156 4 884131822 +646 1237 3 888529127 +749 125 5 878848764 +294 1012 4 877819792 +727 746 4 883710514 +655 1644 1 888474327 +486 298 3 879874871 +682 737 3 888518104 +453 496 4 888203066 +295 222 4 879517136 +585 1623 4 891283921 +350 435 5 882346900 +600 22 5 888451491 +682 327 3 888518299 +648 997 1 884882636 +653 234 3 878854633 +113 288 3 875075887 +279 1490 4 875312947 +440 70 4 891577950 +435 631 2 884132540 +479 24 3 879460236 +524 405 2 884627065 +405 794 5 885549309 +499 194 4 885599372 +653 451 2 880152351 +746 96 4 885075267 +654 963 4 887864414 +215 180 3 891435060 +537 42 3 886030622 +655 433 2 887428030 +378 213 5 880045935 +413 328 3 879968933 +532 451 4 874789474 +246 96 3 884920900 +654 268 1 887863017 +490 137 3 875427739 +506 67 3 874874894 +746 117 4 885075304 +718 591 4 883349191 +738 196 4 875350086 +85 65 3 879455021 +344 476 3 884900499 +89 731 3 879460347 +151 443 5 879524947 +666 636 4 880568322 +694 216 4 875729830 +286 301 5 879780879 +653 790 2 880152523 +393 1028 3 887745174 +357 760 3 878952080 +269 208 2 891449304 +573 10 4 885843818 +731 197 5 886185743 +417 232 3 879648510 +709 633 3 879846561 +515 1399 4 887659718 +699 224 3 878883249 +657 922 4 884239123 +586 202 4 884066689 +508 229 2 883777346 +716 1039 5 879796808 +546 234 4 885141332 +642 1480 1 886569922 +233 293 4 877660832 +708 751 4 892718687 +696 523 5 886404542 +611 751 4 891636098 +504 632 3 887837701 +455 270 4 878585321 +429 928 2 882386849 +577 71 5 880474433 +514 385 3 886189965 +233 371 5 880190399 +28 332 2 881954915 +692 1040 2 876954021 +690 64 5 881179682 +279 1488 4 875659924 +325 1523 4 891478504 +606 135 5 880926245 +332 96 5 887939051 +82 175 4 878769598 +495 944 5 888637768 +376 301 3 879433102 +276 235 4 874786734 +504 90 3 887910552 +488 168 4 891293910 +85 246 4 881704999 +577 147 4 880470604 +325 205 4 891478307 +701 100 5 891447139 +440 904 5 891546654 +716 191 5 879796046 +405 317 4 885544911 +734 166 3 891022849 +553 191 4 879949153 +629 984 3 880116278 +682 412 1 888521907 +549 100 4 881672333 +544 271 3 884795986 +561 1512 5 885807455 +733 253 3 879535407 +719 50 2 879358671 +164 222 4 889401927 +693 568 4 875483947 +641 303 3 879369827 +451 1265 4 879012772 +171 304 3 891034756 +439 121 2 882893768 +429 654 4 882385542 +207 546 3 876018553 +386 405 4 877655145 +1 238 4 875072235 +735 741 2 876698796 +653 520 3 880151488 +663 928 3 889492679 +606 326 4 889137188 +749 663 4 878847988 +450 761 4 882398939 +406 11 4 879446529 +606 194 4 880925199 +347 76 5 881654679 +490 246 2 875427812 +717 328 4 884641842 +737 186 5 884314944 +417 80 4 879649247 +627 4 2 879531248 +650 742 3 891369889 +514 582 4 875318224 +552 934 3 879222336 +643 501 4 891448062 +711 196 5 879993918 +315 324 3 879799302 +339 485 5 891032413 +405 563 1 885548475 +106 647 3 881450440 +450 67 3 882469941 +705 121 5 883427479 +551 216 5 892777609 +663 23 4 889493818 +595 294 2 886920748 +244 1136 3 880608162 +664 212 4 878090180 +586 29 5 884062405 +423 299 3 891394788 +561 980 3 885809146 +234 942 3 892334610 +393 930 3 889731593 +389 72 3 880614164 +378 254 1 880318158 +234 956 3 892826643 +514 393 3 876067592 +657 286 4 884238002 +548 284 3 891415619 +134 301 2 891732296 +616 333 2 891224448 +642 585 5 885606178 +749 366 4 878849903 +545 742 4 880347813 +699 300 3 893140897 +697 596 4 882622372 +299 152 4 877880474 +546 294 1 885139779 +608 25 4 880406506 +655 498 3 887523453 +280 1051 4 891700904 +557 325 3 880485074 +655 70 2 887474727 +721 259 3 877137527 +198 131 3 884208952 +712 812 4 874729996 +716 673 4 879797535 +2 274 3 888551497 +750 330 2 879446215 +457 472 4 882395768 +664 328 3 876523314 +663 268 3 889491617 +655 903 3 887425070 +320 145 4 884751552 +665 845 4 884292654 +552 25 3 879221833 +743 288 2 881277690 +564 300 4 888718470 +639 513 4 891239030 +653 696 1 880152989 +656 344 4 892318520 +525 1014 3 881086468 +49 181 1 888067765 +286 742 5 877530860 +483 318 3 884046480 +343 81 5 876408139 +409 430 4 881168604 +563 153 4 880507625 +32 111 3 883717986 +632 402 3 879458725 +682 317 4 888517390 +425 1595 2 878738757 +436 38 3 887771924 +694 504 3 875728912 +691 170 5 875543395 +694 197 5 875727926 +522 12 5 876960894 +721 191 3 877140490 +699 479 3 878883038 +66 825 3 883602268 +184 170 5 889913687 +633 110 3 877211817 +642 233 4 885606964 +532 1039 4 888629863 +689 125 3 876675152 +686 327 5 879543445 +327 7 3 887744023 +94 210 4 886008459 +707 286 5 879438988 +394 186 5 880887322 +739 69 5 886959069 +624 273 4 879793129 +721 82 4 877139015 +13 692 4 882141659 +514 403 3 875463202 +716 86 5 879796072 +682 205 3 888518164 +697 242 5 882621486 +56 578 3 892910860 +669 517 3 892550282 +627 226 1 879531397 +207 82 3 877125249 +694 1263 3 875729146 +682 75 4 888518185 +523 1 5 883701763 +194 871 2 879554603 +451 328 5 879012470 +384 302 5 891273509 +538 294 3 877095702 +251 300 4 886271472 +299 248 5 877877933 +747 108 4 888733415 +480 1007 4 891207715 +632 144 4 879457812 +738 318 5 892844112 +201 607 4 884111485 +691 8 2 875543346 +683 299 3 893283997 +361 742 1 879441351 +653 88 3 880152399 +577 549 5 880475539 +655 64 4 887426931 +721 749 3 877137359 +1 156 4 874965556 +743 273 3 881278061 +620 225 3 889988281 +294 743 2 889242905 +664 479 5 878090087 +535 962 4 879617747 +13 576 3 882398076 +682 554 3 888521116 +727 628 3 883709774 +648 173 5 882213502 +650 179 2 891383786 +654 288 3 887863064 +629 15 5 880117719 +503 739 1 880383490 +676 117 4 892686244 +532 796 5 888635445 +407 496 5 875042425 +655 906 2 888813416 +588 1053 3 890027780 +479 265 4 879460918 +634 932 3 877018004 +617 1019 4 883788782 +456 474 5 881373353 +655 740 3 888474713 +293 568 4 888906489 +738 151 4 875352737 +393 78 2 889731521 +222 1066 1 881060435 +186 38 5 879023723 +624 1048 4 879793223 +454 22 4 881959844 +38 717 1 892433945 +489 887 2 891447845 +747 208 5 888640862 +496 56 5 876066009 +85 87 4 879829327 +738 205 5 892844079 +715 70 3 875964105 +13 510 5 882139717 +537 392 2 886032245 +581 224 4 879641698 +503 285 4 884637911 +379 306 3 892879325 +533 663 5 879191022 +738 180 5 892844112 +749 49 4 878848137 +565 639 5 891037291 +699 325 5 879148050 +474 507 4 887924424 +334 91 4 891547306 +445 1012 1 891199843 +488 357 4 891293699 +727 259 4 883708265 +585 213 5 891284393 +661 603 3 876016726 +551 849 5 892785128 +561 559 1 885809336 +586 1042 4 884065773 +502 681 1 883702631 +479 96 4 879460959 +597 295 3 875340117 +642 89 2 886455538 +543 157 3 874863549 +548 1016 4 891043882 +605 260 4 879365417 +472 890 4 883903272 +450 479 4 882371526 +564 597 4 888730699 +256 387 4 882165328 +274 220 4 878946107 +7 202 3 891352947 +741 95 2 891018400 +588 230 1 890023692 +308 792 3 887737594 +393 944 4 889728712 +579 211 3 880952476 +268 1188 3 875743735 +479 380 3 879462007 +701 255 3 891447164 +487 790 3 884045135 +709 125 4 879847730 +748 748 4 879454208 +455 7 4 879111213 +522 192 5 876960894 +554 423 4 876550182 +545 199 4 880347770 +117 7 3 880125780 +693 403 2 875483049 +530 64 5 883790942 +704 152 2 891397819 +574 269 5 891279173 +250 1073 5 878090114 +121 472 3 891390599 +632 735 4 879458649 +472 391 2 875983129 +62 144 3 879374785 +269 818 3 891446873 +673 750 5 888786969 +389 615 4 879991115 +579 326 3 880951494 +215 168 5 891436024 +513 118 4 885062559 +479 111 4 879460323 +441 121 4 891035489 +590 13 4 879438972 +550 1620 4 883425448 +416 97 5 893213549 +655 239 2 887428507 +727 831 3 883709839 +251 60 4 886271641 +692 756 2 876953681 +345 461 3 884992175 +667 168 3 891035206 +561 432 5 885807776 +484 692 5 891194998 +721 135 3 877140490 +422 326 3 875129523 +6 502 4 883602664 +182 596 5 885613152 +405 441 1 885548435 +137 866 3 881433090 +405 61 1 885549589 +719 281 3 888897264 +453 49 3 877561172 +608 321 2 880402633 +458 255 2 886396521 +603 271 2 891955922 +655 92 3 891585477 +574 1062 5 891279122 +60 225 3 883327976 +500 72 4 883876155 +406 1203 2 884630860 +194 1410 2 879553404 +506 96 4 874873423 +648 143 4 884368002 +543 98 4 874863336 +370 269 5 879434206 +747 23 5 888639735 +135 452 2 879857843 +8 96 3 879362183 +198 820 1 884206773 +660 216 2 891199804 +738 183 5 892844079 +303 41 5 879485686 +363 854 1 891497047 +537 426 1 886032154 +452 659 4 875266415 +110 397 3 886988688 +145 597 4 875271477 +104 330 1 888442530 +680 845 4 877075241 +640 56 5 874777528 +489 874 2 891448774 +450 705 4 882373656 +584 449 2 885778571 +13 572 2 882398255 +716 496 5 879795467 +393 65 2 887746346 +593 661 2 886193103 +660 316 4 891197728 +331 178 3 877196173 +452 418 4 875275700 +457 948 1 882393156 +536 153 4 882359540 +517 538 4 892607155 +393 86 2 889729674 +450 821 2 882812495 +73 660 4 888625754 +714 181 5 892777876 +749 1 4 881602577 +699 276 3 885775479 +458 644 4 886397275 +5 447 3 875720744 +588 69 2 890023556 +207 216 5 877878688 +280 103 3 891702122 +597 763 4 875340191 +325 132 3 891478665 +659 157 4 891383636 +102 546 3 888801876 +537 469 3 886030652 +655 86 4 887650978 +664 778 3 876525192 +535 609 4 879618019 +429 207 4 882385729 +474 836 3 887926804 +537 445 3 886030767 +37 385 4 880915902 +727 33 3 883711150 +745 7 4 880123019 +659 172 3 891384526 +738 199 4 892938594 +654 116 4 887863436 +666 187 5 880139439 +291 756 3 874833878 +559 182 4 891035111 +690 649 4 881179906 +269 8 2 891449985 +381 778 4 892697066 +716 96 2 879795122 +642 565 4 886569870 +643 410 4 891445597 +642 579 4 885606537 +642 444 1 886569417 +286 724 3 877532013 +577 728 3 880475226 +185 321 5 883524428 +303 829 2 879485814 +342 1070 3 875319412 +7 523 4 891350845 +537 1335 3 886030347 +660 67 1 891201859 +663 25 4 889492917 +58 181 3 884304447 +508 423 5 883777430 +534 121 4 877808002 +543 272 3 888300821 +617 288 1 883788566 +726 845 3 889832358 +648 67 4 884882192 +738 96 5 892844112 +218 42 4 877488546 +601 201 5 876349503 +85 174 4 879454139 +429 66 2 882386357 +141 257 3 884584773 +669 117 1 891260577 +43 186 3 875981335 +305 382 5 886323617 +653 55 3 878854051 +724 937 3 883757670 +413 936 4 879969484 +480 479 4 891208215 +3 344 4 889236939 +717 150 4 884642339 +465 181 3 883530521 +728 117 4 879443321 +533 566 4 879191652 +654 28 5 887864610 +592 1014 4 882609009 +722 118 4 891281349 +339 719 3 891036753 +537 705 3 886031074 +606 313 5 887841727 +657 628 3 884241192 +749 142 4 878850456 +345 1074 3 884993890 +244 158 3 880608904 +648 406 3 882212373 +270 319 5 876955633 +657 475 4 884239057 +692 100 4 876953482 +503 133 5 880472272 +683 302 5 893286207 +440 988 1 891577504 +653 136 1 880149965 +624 323 2 879792155 +628 845 5 880777167 +239 514 1 889178562 +515 748 2 887660131 +733 147 1 879535938 +580 289 5 884124382 +572 289 3 879449277 +398 127 4 875651657 +524 204 3 884635358 +234 222 3 892079803 +676 1527 1 892685657 +528 505 4 886101956 +690 163 3 881177459 +279 239 4 875310418 +187 8 5 879465273 +474 519 4 887926872 +624 1095 2 879793408 +405 1548 1 885547952 +537 1134 3 886030176 +650 281 2 891382877 +650 554 2 891382877 +450 622 5 882468239 +699 989 4 883279196 +618 124 1 891308542 +303 174 5 879466523 +733 676 4 879535603 +625 483 5 891262983 +201 1192 3 884113772 +385 1037 1 879449950 +593 322 2 875644752 +432 294 4 889416229 +593 568 4 886193361 +345 258 4 884916532 +541 732 3 883865173 +682 1091 3 888523288 +537 141 3 886032183 +5 228 5 875636070 +130 290 3 876250955 +268 294 3 876513675 +624 678 3 879792155 +378 1047 2 880044726 +554 238 3 876232682 +655 354 2 891667570 +718 240 1 883349467 +751 568 3 889133334 +104 124 2 888465226 +332 323 5 888098276 +387 678 3 886484460 +717 294 3 884641842 +537 93 3 886030077 +113 1251 5 875325377 +630 1023 4 885667581 +747 223 5 888638913 +454 694 2 888266874 +247 750 4 893081381 +707 124 4 880059876 +74 539 3 888333255 +712 783 3 874956981 +618 625 4 891309192 +312 137 3 891698224 +168 313 5 884286862 +309 258 5 877370288 +749 399 3 878849433 +452 180 4 875560300 +234 1221 4 892334852 +506 461 2 874873944 +730 332 3 880309870 +684 239 4 878762118 +640 318 5 874777948 +388 237 5 886436813 +707 45 4 886286926 +666 591 2 880313604 +405 439 1 885548330 +727 24 3 883709711 +26 815 2 891371597 +301 503 3 882078228 +223 117 5 891549529 +707 705 4 886285851 +94 121 2 891721815 +7 141 5 891353444 +707 1109 5 886286283 +78 871 3 879634199 +749 252 3 878847057 +654 216 4 887864432 +716 340 3 879792665 +505 435 3 889333676 +538 100 4 877109748 +212 735 4 879304010 +392 303 4 891037437 +478 7 1 889387871 +716 23 4 879795643 +543 1441 3 874863436 +238 538 4 883575749 +528 168 4 888522642 +489 316 5 891447872 +697 125 3 882622559 +711 1119 4 879994632 +528 203 4 888522613 +747 432 5 888640567 +714 255 2 892777140 +416 42 3 876699578 +572 277 1 879449799 +452 518 5 885816768 +561 751 3 885806779 +467 246 5 879532534 +625 480 4 891263589 +599 508 3 880953441 +129 242 4 883243972 +727 73 4 883713048 +705 64 5 883518709 +702 228 5 885767774 +617 563 1 883789747 +750 286 4 879445755 +17 919 4 885272696 +417 804 3 879649153 +398 604 5 875658794 +669 902 2 891182948 +429 559 3 882386662 +59 900 4 888202814 +554 820 2 876232176 +711 739 3 879995215 +178 180 3 882826395 +216 98 5 881432467 +373 184 4 877104086 +712 498 3 874729935 +586 541 3 884063080 +639 414 3 891240719 +643 550 3 891450273 +532 227 4 874788566 +648 181 5 882211066 +523 70 5 883700743 +653 572 2 880153522 +593 619 3 877727927 +40 300 3 889041523 +328 135 3 885046853 +378 509 4 880055672 +298 523 4 884182774 +506 503 4 874874396 +296 628 5 884196640 +404 683 4 883790366 +24 288 3 875245985 +756 63 3 874830908 +738 178 4 875349628 +561 971 3 885809269 +426 491 4 879442702 +632 705 5 879459738 +627 239 3 879530662 +710 22 3 882063852 +174 381 5 886513706 +334 506 3 891547763 +497 325 2 878759505 +399 203 4 882344434 +33 271 4 891964166 +666 523 4 880314194 +303 734 1 879543711 +654 79 5 887864256 +665 393 3 884295080 +293 780 3 888907816 +749 31 5 878847209 +429 584 4 882385749 +269 68 3 891449751 +615 178 5 879448547 +606 729 4 880927247 +485 328 2 891040560 +262 955 2 879792604 +649 1244 3 891440676 +536 213 5 882360704 +727 433 5 883710994 +545 551 4 879900053 +676 144 4 892686459 +373 496 5 877098643 +671 720 3 884036050 +389 824 3 881384649 +373 150 4 877098821 +645 183 4 892053340 +244 871 3 880605010 +254 616 1 886473736 +586 11 3 884059693 +655 44 2 887564639 +700 96 4 884494310 +537 24 1 886030176 +757 399 3 888466782 +682 723 1 888518063 +271 474 3 885848518 +703 7 4 875242599 +705 1 5 883427101 +629 423 5 880117333 +711 463 5 879993959 +747 48 5 888639890 +450 90 4 887660650 +621 401 1 874963210 +615 175 5 879448439 +344 742 3 884900248 +525 124 3 881086108 +601 153 4 876350060 +469 511 5 879524062 +52 100 4 882922204 +455 709 3 879111471 +260 258 3 890618198 +707 735 4 886286792 +407 209 5 875042378 +267 198 5 878971745 +479 510 4 879461337 +648 679 3 884882802 +756 367 4 874827614 +500 118 3 883865610 +669 127 5 891260596 +549 127 5 881672441 +594 50 3 874783018 +513 222 5 885062519 +480 258 3 891207859 +403 291 4 879790319 +178 79 4 882826306 +751 301 5 887134816 +388 100 3 886437039 +635 276 3 878879257 +487 423 4 883446685 +672 1028 4 879789030 +293 1421 2 888907794 +373 99 5 877099091 +417 451 4 879649266 +141 291 5 884585220 +627 191 4 879529957 +274 200 4 878946612 +682 862 1 888522021 +532 135 3 888629938 +531 245 4 887049049 +268 1118 3 875310673 +560 240 3 879976970 +437 428 5 881001983 +627 729 1 879530600 +618 191 4 891307175 +660 810 3 891265495 +42 239 5 881108187 +566 575 1 881651652 +234 9 3 891227689 +436 65 4 887771753 +62 245 2 879373232 +660 755 2 891201026 +499 690 4 882995558 +399 289 4 882340311 +568 132 2 877907236 +399 1217 4 882350282 +470 283 5 879178370 +551 117 5 892782807 +483 582 3 887677797 +591 172 3 891031116 +498 89 5 881957353 +567 659 4 882426508 +286 451 5 877533993 +585 1005 4 891283339 +658 151 5 875148319 +611 286 5 891636244 +181 833 1 878963205 +711 658 4 879994581 +545 230 5 879899327 +399 227 2 882344794 +466 268 2 890282759 +482 269 4 887643096 +692 321 3 876946833 +370 31 3 879434766 +577 65 5 880475539 +579 209 4 880951944 +337 228 5 875185319 +392 272 5 891037437 +639 471 2 891239349 +699 825 3 879147917 +488 732 4 891294606 +454 199 3 881960413 +622 118 1 882591663 +664 70 3 878092758 +11 690 4 891901716 +718 689 4 883348355 +621 128 4 880740034 +232 48 5 888549879 +130 455 4 874953728 +504 447 4 887909816 +536 474 5 882359678 +733 294 2 879536001 +639 1195 2 891239838 +7 670 5 891353254 +655 647 3 888813306 +313 615 4 891013652 +603 12 5 891955991 +757 196 4 888445604 +207 1272 3 879132830 +734 607 5 891023066 +476 1271 2 883364433 +456 357 4 881373084 +241 268 4 887249576 +256 628 5 882150848 +347 660 2 881654186 +655 234 3 888474713 +60 755 4 883327639 +455 382 3 879112239 +561 214 3 885809670 +83 993 2 883868978 +95 197 4 888954243 +588 132 5 890015476 +669 527 3 891517185 +487 378 5 883530973 +699 307 3 893140697 +380 357 4 885478425 +606 176 5 880923925 +452 212 2 885490812 +527 628 3 879456289 +566 161 4 881651097 +682 673 3 888517049 +472 1074 5 892790676 +717 100 4 884642268 +682 1222 3 888523657 +64 153 3 889739243 +636 1 3 891448229 +498 447 3 882205321 +495 186 5 888633277 +666 604 3 880139669 +92 758 1 875644796 +650 180 3 891383164 +326 663 1 879877159 +417 546 3 879646712 +346 234 2 874950291 +618 197 3 891307825 +499 521 4 885599119 +741 783 3 891457633 +556 12 5 882136440 +711 476 4 876185832 +588 83 5 890015435 +576 319 3 886985695 +503 740 5 879438411 +567 124 4 882426812 +690 194 4 881177349 +631 301 4 888465107 +517 258 5 892660728 +94 436 5 891721815 +24 98 5 875323401 +697 989 2 882621813 +217 62 2 889070050 +543 161 4 877545356 +481 86 5 885828650 +551 710 5 892777753 +177 60 4 880130634 +682 9 3 888517168 +442 231 3 883390609 +757 71 4 888445838 +640 919 5 886474436 +60 286 5 883325421 +342 487 5 874984315 +453 164 3 877554771 +756 603 5 874831383 +381 94 3 892697337 +99 120 2 885679472 +432 249 5 889416352 +618 82 4 891308704 +655 537 3 887489086 +280 728 3 891701614 +629 292 4 880116722 +4 11 4 892004520 +669 300 4 892549238 +593 174 4 875660546 +416 200 5 893213103 +198 64 4 884207206 +671 1073 3 883949781 +385 1499 5 881047168 +246 841 1 884923829 +524 965 4 884635288 +586 452 3 884060941 +62 699 4 879375022 +526 690 3 885681910 +57 473 3 883697916 +639 584 2 891239790 +500 211 3 883875241 +298 88 5 884183236 +307 164 4 879283514 +624 124 4 879792358 +401 508 3 891032433 +707 163 2 886285939 +677 323 4 885191280 +693 1145 2 875483049 +716 105 2 879794450 +751 178 5 889132896 +548 466 5 891044446 +587 266 1 892871536 +495 231 3 888635294 +654 204 4 887864610 +435 862 1 884133972 +353 327 2 891402443 +504 102 3 887910409 +495 768 3 888636216 +334 248 4 891544997 +200 455 3 876042340 +647 291 3 876534275 +589 323 2 883352631 +141 717 4 884585470 +655 529 4 887428965 +451 268 2 879012684 +62 127 4 879372216 +468 238 3 875286036 +327 302 3 887737355 +551 235 1 892784629 +664 462 4 878091912 +551 188 5 892783672 +435 748 4 884130765 +727 132 2 883710271 +698 491 2 886367644 +399 164 2 882344553 +585 736 4 891284184 +738 916 3 892938181 +64 98 4 889737654 +679 416 3 884488226 +747 1050 3 888640099 +505 50 3 889334067 +707 371 3 886287497 +727 419 2 883710236 +653 1188 1 880153568 +180 739 3 877128156 +627 949 2 879530824 +537 625 3 886032184 +510 681 1 887667808 +326 176 2 879876184 +556 513 4 882136396 +158 284 5 880132638 +682 1655 2 888517922 +484 111 4 881450111 +567 9 4 882426696 +374 934 3 882158146 +724 877 1 883757834 +286 934 3 889653107 +737 89 4 884314664 +634 13 4 878916178 +514 890 1 885180929 +672 931 1 879789164 +406 480 4 882480802 +619 307 2 885953601 +276 1 5 874786568 +650 1247 1 891384110 +314 25 3 877886753 +727 177 4 883710687 +7 605 4 891353290 +457 176 5 882397542 +693 631 3 875482826 +294 535 4 877820240 +490 50 5 875428765 +459 260 2 879561782 +716 405 4 879793844 +168 405 4 884287927 +318 196 3 884495973 +715 204 4 875964025 +405 674 1 885548275 +618 419 4 891309887 +660 120 1 891198996 +144 632 4 888105472 +682 447 2 888522857 +622 250 4 882590252 +284 289 3 885329671 +756 527 3 874828242 +718 273 3 883348712 +537 664 3 886031634 +90 340 4 891382121 +410 690 4 888627138 +501 741 5 883347857 +632 98 4 879457217 +276 1046 3 874795772 +197 1222 3 891410082 +307 483 5 875680937 +591 393 4 891031644 +514 652 4 886189466 +16 180 5 877726790 +501 342 4 883346823 +551 55 5 892777753 +459 1039 3 879564915 +610 477 2 888703475 +717 331 3 884641681 +627 554 2 879531557 +684 204 4 875812299 +527 14 2 879456663 +472 895 4 892790628 +648 505 4 884796652 +460 515 5 882912418 +629 202 4 880117635 +271 1120 2 885847800 +200 405 3 884127370 +152 121 5 880149166 +23 541 4 876785720 +655 294 3 887425103 +710 264 2 882063564 +474 659 5 887925187 +682 761 4 888521090 +326 127 1 879875507 +536 151 3 882318442 +445 818 1 891200656 +457 185 5 882397375 +369 358 3 889428228 +727 1217 3 883711965 +219 631 5 889403559 +653 550 3 890181186 +622 233 4 882670423 +531 286 5 887048741 +595 824 3 886921748 +557 180 5 881179653 +291 11 4 874835024 +712 746 4 874730085 +314 731 4 877892099 +707 151 4 880059810 +624 260 2 879792251 +496 1060 1 876071243 +474 26 4 887927509 +747 486 5 888732609 +588 588 4 890023692 +181 864 2 878962774 +643 519 4 891447663 +363 161 4 891496753 +22 1000 3 878886333 +648 403 4 884882802 +708 1047 2 877325726 +280 203 4 891701530 +22 566 3 878888145 +620 404 4 889988232 +653 742 3 886052040 +747 1375 4 888732571 +745 425 4 880123540 +344 118 3 884900353 +648 1376 2 884367180 +656 303 4 892318553 +203 742 3 880434882 +195 451 5 875771441 +94 433 4 891721078 +551 282 5 892777092 +537 310 3 886028647 +639 275 4 891239492 +606 428 3 880927247 +411 56 4 891035278 +655 1221 3 891585477 +499 251 5 882996735 +699 319 3 883279146 +58 773 4 884304790 +508 230 2 883768706 +507 257 5 889966054 +378 663 3 880046437 +301 271 4 882075473 +393 501 3 889729614 +639 300 3 891238790 +227 240 1 879035934 +672 476 5 879789462 +711 340 5 886030557 +668 29 3 881605433 +99 282 3 885678753 +553 661 5 879949324 +741 399 2 891457456 +458 474 4 886397109 +546 145 4 885141502 +630 930 3 885667551 +504 1277 4 887832012 +678 7 4 879544952 +316 89 1 880854197 +699 977 2 879147550 +532 44 5 888637085 +561 589 3 885807510 +665 249 5 884290608 +374 975 4 880936113 +452 615 3 875261350 +597 235 4 875340062 +664 234 3 876526554 +634 864 3 877368475 +311 944 4 884366439 +128 404 3 879968308 +533 205 5 882902988 +650 163 3 891386878 +627 597 3 879531557 +698 603 4 886366770 +727 1231 3 883713082 +447 11 4 878856208 +181 1319 1 878962120 +690 1207 3 881180138 +664 47 4 876525076 +605 176 4 879426339 +521 655 4 885253904 +146 1293 5 891458080 +568 213 4 877907835 +703 117 4 875242814 +500 412 1 883876370 +668 333 3 881524020 +486 150 3 879874838 +620 118 4 889987825 +562 230 1 879195954 +187 462 5 879466062 +7 452 5 891353860 +618 427 5 891308431 +622 217 4 882671185 +458 203 5 886396460 +385 1008 4 879440628 +650 154 3 891381993 +417 168 4 879647355 +602 181 5 888638547 +433 246 4 880585885 +600 269 4 888451388 +682 83 3 888517011 +747 783 1 888732921 +537 81 3 886031106 +711 692 3 879993150 +640 751 4 886353742 +563 181 4 880507374 +611 299 1 891636223 +660 1183 1 891201049 +666 684 4 880568063 +374 637 4 882159237 +5 250 3 875635265 +59 402 4 888206296 +635 1 4 878879283 +63 473 2 875747635 +537 337 3 886029526 +660 1074 1 891201399 +416 216 5 893213444 +715 174 4 875963306 +618 176 4 891307426 +332 56 5 888098256 +305 713 4 886323115 +11 504 3 891905856 +521 135 4 885254226 +97 133 1 884239655 +305 198 4 886322838 +745 520 3 880123696 +316 44 4 880853881 +658 56 5 875148108 +714 121 4 892777903 +650 82 3 891381585 +345 498 4 884992117 +740 289 4 879523187 +561 657 4 885807235 +736 532 4 878709365 +496 186 4 876065558 +493 405 2 884130619 +665 195 3 884294819 +393 393 3 889731064 +526 475 5 885682635 +102 73 3 892992297 +532 925 4 892520642 +751 248 5 889132413 +588 638 4 890024289 +474 44 3 887926998 +33 339 3 891964111 +401 315 4 891031464 +587 271 4 892871310 +752 286 1 891207940 +749 188 3 878848302 +659 269 4 891331825 +653 204 4 878867093 +387 22 5 886483049 +645 228 3 892053748 +291 246 5 874834481 +651 286 4 879348880 +615 631 4 879448843 +525 928 3 881086586 +632 234 3 879457641 +541 588 4 883874682 +249 403 4 879640998 +139 288 4 879537918 +561 183 5 885807215 +715 150 4 875961898 +710 751 3 882860806 +271 815 3 885848153 +10 170 4 877889333 +698 659 3 886367013 +690 794 3 881180543 +648 125 2 882211654 +256 182 4 882164479 +758 347 3 885257453 +374 1218 2 881291426 +59 179 5 888204996 +7 606 3 891352904 +457 180 5 882396989 +632 510 5 879459738 +666 1132 3 880313992 +13 163 3 882141582 +405 91 2 885548932 +654 246 1 887863471 +573 174 4 885844431 +607 475 4 883879811 +22 144 5 878887680 +391 490 4 877399658 +49 85 3 888068934 +292 491 4 881105318 +659 177 5 891384850 +486 1120 3 879875465 +749 1337 3 882804605 +658 527 5 875147800 +363 248 5 891499595 +655 293 4 887650683 +671 241 5 884035686 +666 530 3 880139323 +655 1140 3 887474699 +599 319 2 880951046 +610 117 4 888704000 +436 111 4 887771773 +655 167 4 888474713 +604 448 5 883668261 +568 494 4 877907835 +749 735 5 878847716 +378 780 2 880334241 +655 1602 3 891817435 +450 709 3 882371826 +7 386 4 892133310 +440 198 4 891577843 +592 479 4 882956668 +507 222 5 889965997 +142 294 3 888640054 +554 66 3 876369615 +145 826 2 875271312 +399 455 4 882340924 +334 537 4 891547995 +407 257 4 884202243 +504 40 4 887910409 +399 332 3 882340242 +634 1142 3 877018347 +716 133 5 879795239 +344 86 4 884901129 +655 346 4 888474713 +417 5 4 879648593 +132 251 4 891278996 +575 304 2 878146638 +207 125 4 877878688 +194 1408 1 879555267 +468 121 4 875280628 +537 670 2 886031342 +627 405 3 879531458 +58 367 5 892243053 +436 790 3 887770428 +741 69 4 891018550 +416 843 3 886317748 +88 880 3 891037466 +221 384 3 875246919 +537 1113 3 886031606 +749 154 5 878847988 +389 383 2 881384649 +716 144 2 879795467 +557 96 5 881179653 +312 427 5 891698224 +373 22 5 877098919 +747 116 4 888639318 +457 257 3 882393036 +350 89 4 882347465 +727 569 2 883713286 +84 273 4 883452086 +430 42 3 877226568 +399 385 3 882344597 +715 1011 4 875962524 +344 13 3 884899768 +655 654 3 887474077 +676 1654 1 892685960 +595 181 5 886921199 +524 558 4 884634533 +405 1297 1 885546577 +749 406 4 881072892 +223 1088 4 891550326 +60 513 5 883325994 +279 1027 4 891208908 +675 1101 4 889490029 +78 93 4 879633766 +119 826 4 874775580 +527 283 4 879456405 +633 121 3 875325168 +405 173 5 885544798 +43 367 4 883956494 +82 546 3 876311423 +590 286 5 879439645 +742 109 1 881335960 +733 1009 2 879536723 +654 173 5 887864181 +272 238 5 879455143 +748 22 4 879455126 +314 1012 4 877886584 +457 658 4 882398308 +130 321 5 874953291 +682 204 3 888521413 +594 319 3 874780864 +682 1232 2 888517896 +737 222 3 884315127 +474 648 4 887926804 +727 432 2 883711298 +230 498 5 880484755 +393 369 3 887745174 +515 687 3 887659718 +363 325 1 891494012 +332 38 2 888360488 +359 323 3 886453431 +650 63 2 891388294 +181 1117 2 878962585 +554 100 3 876231441 +749 151 5 878846783 +586 1273 4 884065825 +716 443 4 879796381 +92 49 3 875907416 +707 525 3 886286999 +267 56 5 878972493 +478 1 4 889387931 +676 962 4 892686525 +393 135 1 887747108 +718 1048 2 883349363 +741 435 4 891455353 +159 25 5 880557112 +311 1217 3 884365686 +561 956 4 885809336 +407 393 2 876344736 +393 5 3 887746849 +595 880 3 886920819 +374 240 1 880394301 +678 924 2 879544397 +328 230 3 885048101 +148 234 3 877020297 +758 135 5 881974742 +311 393 4 884366066 +630 322 3 885666211 +732 300 4 882589552 +627 76 3 879530173 +588 959 5 890026459 +344 494 4 884901210 +307 178 3 877118976 +476 648 4 883364295 +291 783 2 875087432 +630 96 4 885668277 +731 378 1 886187652 +403 222 5 879786190 +666 427 4 880139382 +642 575 3 886454901 +646 300 3 888528418 +423 329 3 891394952 +532 267 3 875441348 +724 266 1 883758119 +379 161 2 880525502 +595 820 2 886921870 +535 1136 4 879618465 +514 26 3 875463595 +627 11 4 879529702 +104 1028 2 888465818 +160 1142 5 876768609 +637 289 2 882900047 +451 1022 4 879012858 +608 487 4 880406032 +737 47 3 884314970 +752 272 4 891207898 +63 284 3 875747581 +102 219 2 888803149 +559 393 2 891035917 +592 193 5 882955948 +436 182 5 887769150 +435 1061 3 884134754 +151 33 5 879543181 +523 306 5 883699583 +624 1016 3 879793582 +751 305 2 887134730 +6 308 3 883600445 +738 175 4 875349968 +427 304 4 879700850 +198 480 4 884207239 +7 238 5 891351814 +670 15 4 877975200 +698 307 4 886365629 +486 129 4 879874939 +549 118 4 881672479 +721 302 3 877137358 +694 654 4 875727099 +504 245 4 887831274 +69 197 5 882145548 +701 315 5 891446559 +555 121 3 879962551 +535 1045 4 879617663 +634 106 3 877017923 +683 187 5 893286501 +608 660 5 880406800 +617 648 3 883789080 +504 465 3 887909936 +621 391 3 874964657 +435 569 3 884134019 +286 386 3 877534975 +58 405 2 892242047 +458 117 4 886394623 +449 248 4 879958888 +661 48 4 876016726 +49 396 4 888067482 +276 1482 4 874791383 +643 732 3 891447868 +194 737 4 879553003 +472 226 5 875982867 +731 168 1 886185744 +167 513 4 892738385 +660 201 3 891200513 +416 66 5 893213019 +353 270 2 891402358 +588 475 2 890015684 +658 844 3 875145667 +707 269 4 882200810 +5 145 1 875720830 +161 486 1 891171657 +592 844 4 882608021 +712 431 3 874730552 +524 47 2 884635136 +623 181 5 891032291 +524 209 4 884634755 +642 8 5 885603662 +537 495 2 886031678 +537 510 3 886031575 +545 575 3 879900985 +110 184 1 886988631 +405 420 5 885548785 +453 1273 2 877561258 +159 1258 1 884026823 +608 61 5 880404693 +655 475 3 887693376 +92 202 3 875653805 +537 1245 3 886030051 +505 125 3 889334373 +505 385 4 889334477 +632 17 3 879459573 +234 712 2 892336077 +640 85 5 874778065 +296 313 5 884196114 +567 653 5 882425843 +500 204 3 883874265 +561 443 4 885809197 +655 1288 3 887523427 +466 292 4 890284651 +294 1254 3 889242661 +517 105 1 892654653 +125 144 5 879454197 +435 172 5 884132619 +643 195 5 891447063 +682 942 2 888517324 +619 1231 2 885954215 +89 1119 3 879459884 +551 747 3 892783025 +694 98 5 875726886 +28 447 3 881961532 +13 164 3 882396790 +758 298 4 880672727 +554 265 4 876232956 +714 597 3 892777533 +538 28 3 877107491 +59 197 5 888205462 +629 301 3 880115922 +715 58 4 875964131 +429 493 4 882385663 +487 88 4 884024901 +625 134 4 891263665 +140 245 3 879013720 +13 635 1 882396984 +608 300 1 880402327 +95 237 2 879192708 +468 372 2 875301098 +667 313 3 891034404 +511 682 4 890004844 +719 223 5 879360442 +757 161 3 888468909 +599 888 5 880951249 +459 108 1 879563796 +352 86 4 884290505 +94 194 4 885870284 +659 192 4 891384372 +83 356 4 880308755 +642 82 5 885602285 +532 268 4 875441085 +458 58 5 886396140 +431 302 3 877844062 +397 172 5 885350381 +211 64 3 879460213 +37 405 4 880915565 +303 93 5 879467223 +682 3 3 888519113 +381 1 5 892697394 +207 9 4 880911845 +532 898 4 884594575 +738 265 4 892957967 +543 761 2 876105554 +399 307 3 882340264 +104 926 1 888465936 +90 530 3 891385522 +644 1620 4 889077247 +448 301 1 891888099 +463 926 1 890453075 +488 50 4 891293974 +588 658 5 890025751 +495 161 4 888634746 +520 302 3 885170330 +720 304 4 891262697 +437 143 5 880141528 +712 584 4 874730342 +682 802 2 888521047 +698 275 4 886366558 +234 99 5 892333573 +538 82 4 877107558 +757 100 3 888444056 +692 412 4 876954196 +727 949 3 883711616 +533 43 4 879439341 +503 662 3 880383467 +407 258 4 884197027 +128 955 5 879969064 +696 689 1 886404208 +566 230 2 881650123 +64 141 4 889739517 +468 462 4 875288196 +758 517 3 881976377 +244 1119 5 880606993 +705 300 5 883426780 +405 1499 1 885549407 +416 500 5 893212573 +262 90 4 879795270 +587 316 4 892870992 +711 283 4 876185788 +660 483 4 891199804 +346 403 3 874950383 +618 22 4 891308390 +708 328 3 892718964 +264 93 5 886123993 +654 124 4 887863412 +301 145 3 882078040 +664 636 3 876526631 +385 37 4 880013483 +479 688 1 887064434 +181 1102 1 878963381 +606 216 5 880925579 +207 461 3 878104017 +671 327 1 875387273 +506 210 5 885135737 +557 50 4 881095916 +655 1061 2 887428623 +279 845 1 888426577 +592 825 1 882608795 +758 127 5 880672637 +514 169 5 875308734 +462 272 5 886365142 +303 246 5 879544515 +707 165 3 886285939 +536 210 5 882359477 +722 300 3 891279945 +663 287 5 889492720 +586 586 2 884063080 +232 423 4 888549595 +750 301 4 879445911 +749 1089 3 882804586 +562 118 3 879196483 +696 312 4 886404322 +298 196 4 884182891 +550 688 3 883425762 +703 458 3 875242935 +617 444 4 883789590 +716 588 4 879795606 +716 181 4 879793221 +758 258 4 880672230 +666 257 3 880313682 +279 1170 1 891209102 +244 1095 2 880605333 +551 44 4 892777825 +128 1053 3 879968494 +347 24 3 881652657 +611 268 5 891636192 +643 255 4 892502414 +354 520 3 891217811 +747 303 5 888638091 +756 99 3 874829258 +690 523 4 881177430 +92 1 4 875810511 +297 32 4 875239267 +619 879 4 885953743 +51 144 5 883498894 +237 187 3 879376553 +660 542 2 891201887 +201 202 3 884112747 +655 319 3 888685879 +749 73 4 878849586 +618 684 3 891306991 +303 653 4 879466937 +603 294 4 891956330 +72 50 2 880037119 +411 228 3 891035309 +620 423 5 889988168 +521 385 3 885254837 +284 903 4 885329238 +495 431 5 888632546 +608 174 3 880406506 +614 294 4 879464507 +224 54 3 888104313 +694 517 4 875727926 +693 300 2 875481397 +206 1176 1 888180049 +665 357 4 884293979 +323 1012 4 878739594 +705 932 5 883427339 +256 82 5 882164559 +607 222 3 883879613 +648 71 3 884368165 +560 270 4 879975173 +579 381 3 880952360 +293 179 4 888905898 +642 627 3 885606581 +593 423 4 875671505 +619 127 4 885953778 +655 772 3 887426972 +587 270 4 892871171 +158 29 3 880134607 +90 699 4 891385298 +498 631 3 881957905 +655 19 2 887472719 +524 432 1 884636151 +329 333 4 891655322 +308 615 3 887739213 +73 433 4 888626437 +459 879 4 879561630 +201 97 2 884140115 +13 346 4 883670552 +757 7 4 888444826 +234 550 2 892334883 +627 631 3 879529885 +741 94 3 891457483 +217 1034 3 889070266 +342 421 3 875319435 +663 321 5 889491739 +640 342 5 886353780 +592 752 4 888553156 +715 156 4 875964438 +296 1007 4 884196921 +641 484 5 879370299 +479 89 4 879460959 +712 49 3 874956872 +478 975 4 889388229 +592 223 5 882955863 +484 181 5 881254239 +58 210 4 884305042 +741 1029 1 891457506 +676 315 4 892685224 +398 13 3 875652318 +709 265 4 879846489 +653 423 2 880152039 +503 26 2 880383200 +398 399 4 875721702 +642 417 3 886568791 +606 749 4 888333338 +758 272 4 884413293 +733 1129 4 879535338 +293 47 3 888907061 +82 304 3 884713664 +480 511 4 891208599 +592 900 4 887257094 +320 833 1 884748904 +450 500 4 882376188 +566 202 4 881650551 +591 300 3 891030956 +699 234 3 878883172 +741 1090 1 891455880 +642 1140 4 886569732 +405 955 1 885549308 +762 302 5 878718810 +610 313 4 888702841 +489 288 4 891366693 +650 608 4 891369520 +569 281 3 879793466 +271 202 4 885849025 +374 467 4 880395735 +56 89 4 892676314 +478 134 2 889397467 +100 886 3 891375522 +455 241 4 879111808 +157 120 1 886891243 +650 501 3 891385980 +329 286 4 891655291 +493 239 5 884131952 +498 137 3 881954357 +372 56 4 876869445 +543 252 3 889308778 +731 510 1 886186091 +629 87 5 880117635 +642 974 3 886569765 +487 82 5 883446252 +708 847 3 892719246 +450 396 2 882469941 +648 447 5 884883578 +592 853 5 882956201 +455 217 4 879112320 +121 744 3 891388936 +479 751 4 889125759 +758 597 2 881978805 +291 204 4 874871736 +751 316 4 888871453 +479 651 5 889125921 +466 1176 5 890284651 +355 328 4 879486422 +744 127 5 881171481 +92 55 3 875654245 +65 87 5 879217689 +312 177 3 891698832 +626 264 1 878771476 +345 237 4 884991077 +593 15 4 875659636 +405 1195 1 885549590 +314 790 4 877889698 +738 22 3 875349713 +699 271 3 880695324 +473 14 4 878157242 +712 796 4 874957268 +178 168 4 882826347 +622 385 5 882592421 +385 727 1 879443102 +95 196 4 879198354 +463 1017 2 877385731 +303 132 5 879466966 +394 73 3 881058929 +13 199 5 882140001 +472 1002 4 883904649 +533 300 4 888844557 +374 468 4 880396359 +417 465 4 879648079 +721 258 3 877135269 +280 76 2 891700699 +524 472 3 884323500 +754 676 3 879451517 +711 1221 4 879994777 +400 332 2 885676526 +664 708 4 876525077 +474 207 4 887925751 +450 202 4 882397223 +249 1069 5 879572890 +537 50 4 886030805 +749 554 3 878849612 +398 132 5 875716829 +103 487 4 880421001 +13 67 1 882141686 +222 145 2 878181804 +627 39 4 879530408 +182 178 5 876435434 +731 192 5 886182457 +376 154 4 879434558 +708 538 2 892718762 +416 99 4 876700137 +650 673 3 891369924 +586 228 3 884061459 +704 180 4 891397491 +121 1194 4 891388210 +305 287 3 886324097 +758 235 5 881978274 +65 655 4 879216769 +398 403 4 875657734 +534 3 4 877808031 +435 81 3 884131661 +268 655 4 875309486 +437 87 3 880140891 +654 172 4 887864532 +735 9 4 876698755 +504 238 3 887912416 +747 650 4 888639014 +339 7 4 891032952 +736 255 1 878709025 +683 308 3 893284420 +514 173 5 875462826 +476 692 3 883364143 +536 1140 1 882364876 +478 1221 2 889398645 +253 659 5 891628358 +753 673 1 891402379 +116 539 2 886309573 +24 71 5 875323833 +539 236 3 879788345 +518 412 1 876824266 +296 50 5 884196469 +286 17 4 877531537 +705 275 5 883427048 +506 432 4 874873112 +757 569 3 888467400 +524 837 2 884637467 +676 172 5 892686490 +618 497 2 891307019 +682 410 3 888521740 +553 1124 4 879948695 +167 238 4 892738341 +468 58 4 875288771 +248 89 5 884535046 +260 333 4 890618198 +393 73 4 887746206 +655 310 3 887473937 +708 934 4 892719172 +22 2 2 878887925 +303 282 3 879467895 +693 523 4 875482448 +561 58 3 885809654 +409 498 4 881108715 +537 236 3 886029726 +524 1124 3 884637528 +548 100 5 891044304 +588 404 3 890026656 +763 28 3 878915765 +189 990 3 893264849 +442 294 2 883388120 +599 948 4 880951281 +311 487 4 884365519 +674 288 3 887762296 +498 675 4 881958414 +617 475 1 883789294 +618 462 2 891307540 +409 275 4 881107351 +313 636 4 891028241 +279 797 4 875744512 +622 215 3 882592523 +711 345 4 884485683 +529 682 4 882535256 +495 385 3 888633042 +495 505 5 888633473 +540 250 4 882157172 +536 419 3 882360993 +425 188 3 878738386 +51 172 5 883498936 +346 216 3 874949011 +666 238 4 880139615 +362 1025 2 885019746 +566 511 4 881649445 +343 582 3 876404836 +12 98 5 879959068 +666 742 3 880313723 +464 321 4 878354680 +342 294 3 874984067 +659 648 3 891332006 +393 620 4 887745199 +657 346 4 884238162 +175 11 5 877107339 +290 419 4 880474235 +489 678 4 891366693 +758 587 4 881978635 +690 79 4 881179809 +79 902 3 891271086 +734 591 4 891022977 +94 215 4 891722174 +666 339 4 880138999 +553 8 3 879949290 +655 326 2 888474742 +598 308 4 886710612 +3 326 2 889237224 +648 430 5 884881563 +455 292 3 879108751 +524 124 5 884322113 +764 86 3 876246358 +537 294 1 886029083 +674 117 5 887762861 +276 1074 3 877934446 +552 748 4 879220651 +390 1296 2 879693770 +638 636 3 876695108 +767 1068 4 891462829 +393 42 4 889554976 +545 82 4 879899266 +393 1337 3 887745380 +383 1005 3 891193072 +681 259 2 885409882 +738 127 4 892957753 +524 94 2 884637245 +276 582 3 874787407 +429 435 4 882385636 +500 448 3 883873745 +100 294 4 891375313 +551 627 3 892783906 +639 427 4 891239064 +148 135 5 877016514 +655 612 3 888474456 +676 245 4 892685592 +414 325 3 884999193 +567 607 4 882426762 +454 162 3 888267315 +548 282 4 891415384 +666 181 2 880139563 +737 175 5 884315246 +763 588 4 878918213 +62 13 4 879372634 +536 1115 5 882318369 +92 245 4 877966971 +500 964 4 883874557 +469 490 5 879524485 +365 326 2 891303614 +537 628 2 886030177 +705 174 5 883427640 +721 50 5 877138584 +47 289 4 879439040 +561 946 3 885810813 +587 353 2 892871706 +648 1003 4 884882375 +523 582 4 883701154 +620 8 3 889988121 +655 320 5 888474456 +537 975 3 886030281 +1 106 4 875241390 +712 568 5 874730491 +648 410 2 884882375 +741 54 3 891455610 +536 190 5 882359431 +498 293 4 881955189 +654 174 5 887864727 +504 731 3 887840014 +153 172 1 881371140 +8 187 4 879362123 +743 15 3 881277855 +60 1125 4 883326497 +538 12 4 877107633 +313 568 4 891015114 +618 1066 3 891309756 +246 185 5 884921428 +757 651 4 888445279 +532 824 4 888634802 +634 742 4 875729794 +374 846 2 883627509 +543 180 4 874866208 +717 980 4 884642268 +332 833 5 887938556 +682 809 2 888522755 +320 195 5 884749255 +541 585 2 883866114 +527 91 2 879455873 +608 172 1 880405927 +221 762 4 875244598 +484 222 5 883402900 +668 97 2 881702632 +622 31 3 882669594 +262 172 2 879791875 +376 288 3 879454598 +568 772 1 877906995 +561 608 3 885809119 +715 426 5 875964104 +457 14 4 882393457 +518 476 4 876823324 +293 510 3 888905716 +754 937 4 879451061 +592 8 5 882955582 +13 448 1 882396869 +524 612 3 884635204 +128 66 3 879969329 +527 528 3 879456104 +727 1657 3 883711991 +457 458 3 882393765 +732 873 5 882589845 +503 319 3 879438024 +767 486 4 891462560 +181 628 3 878962392 +480 1388 4 891207665 +16 302 5 877716993 +620 91 2 889988069 +234 836 4 892317967 +628 361 5 880776981 +645 209 5 892053483 +655 1436 2 888474679 +500 509 4 883874216 +458 286 4 886396637 +497 70 4 879362798 +551 195 5 892777052 +483 290 3 878953199 +727 1047 2 883709750 +395 89 5 883764264 +397 223 4 885350132 +728 871 2 879443321 +769 269 5 885422510 +648 225 1 882212527 +87 709 3 879876812 +21 437 1 874951858 +634 121 5 877018125 +566 215 3 881650739 +188 591 5 875072674 +425 200 4 878738854 +417 640 5 879648742 +553 238 5 879948655 +684 402 3 878759310 +230 504 3 880485136 +577 566 4 880474216 +720 995 4 891262762 +628 173 3 880777167 +448 327 2 891888367 +472 672 4 875982771 +699 1129 3 878882319 +320 946 5 884751462 +450 530 3 887661843 +416 807 4 886319649 +237 498 4 879376698 +665 1225 2 884294286 +528 56 3 886101428 +311 494 4 884364593 +486 1197 4 879874582 +94 1110 4 891722801 +275 169 3 875154535 +547 340 4 891282757 +606 91 5 880926610 +23 655 3 874787330 +244 609 3 880607154 +551 572 1 892784672 +691 98 4 875543281 +421 129 5 892241459 +271 511 5 885848736 +650 755 3 891386187 +455 98 4 879110436 +577 28 5 880472077 +315 520 4 879799526 +639 660 2 891239271 +75 831 3 884051056 +622 64 5 882669391 +437 514 4 880140369 +514 7 5 875309415 +744 603 5 881170528 +323 762 4 878739488 +233 521 5 877663071 +536 403 3 882360496 +717 301 4 884641717 +621 298 4 883801703 +561 157 4 885808053 +750 331 4 879446114 +17 126 4 885272724 +354 487 3 891217298 +209 16 4 883417810 +230 622 3 880485380 +582 477 4 882961540 +91 735 4 891439503 +57 258 5 883698581 +704 429 4 891397366 +671 986 2 884035173 +429 288 3 882387685 +324 292 3 880575045 +584 109 4 885778204 +524 895 4 884320358 +561 95 2 885809605 +145 1046 4 888398702 +59 1111 5 888204758 +101 820 3 877136954 +648 662 3 884368485 +293 371 2 888906906 +407 8 5 875042425 +331 1199 1 877196634 +495 265 5 888633316 +173 995 5 877556988 +537 385 2 886032098 +431 690 3 877844183 +13 82 2 882397503 +587 310 3 892870992 +82 133 4 878769410 +454 169 4 888266955 +389 427 5 879991196 +709 200 4 879848053 +655 979 3 888893279 +276 1140 2 874791894 +610 153 5 888703766 +212 86 4 879303830 +715 252 1 875962049 +416 1053 4 886319434 +344 269 4 884814359 +474 462 4 887925497 +744 237 4 881171907 +548 748 3 891043910 +154 515 4 879138657 +88 898 4 891037859 +618 485 3 891307646 +727 153 4 883710856 +487 772 3 883530885 +416 849 3 886318676 +605 276 4 879365773 +551 315 5 892775389 +758 810 3 881980195 +606 200 5 880923862 +188 1041 3 875072328 +1 167 2 878542383 +496 485 3 876065477 +472 540 3 875982239 +450 427 5 882371415 +344 95 4 884901180 +119 1016 5 874775262 +662 93 5 880571006 +715 732 3 875964179 +150 276 5 878746982 +94 435 4 885870418 +640 790 4 874777260 +463 319 1 889936589 +462 323 2 886365837 +731 183 1 886185744 +756 550 2 874829152 +719 660 5 879360493 +650 510 3 891371090 +417 216 3 879647298 +702 313 5 885767336 +659 23 5 891332006 +501 845 3 883348036 +318 732 5 884496267 +301 1013 3 882075286 +699 151 3 878882002 +545 96 5 879899233 +543 479 4 874866208 +709 187 5 879847945 +749 23 3 878849176 +682 127 5 888517011 +701 333 3 891446788 +490 302 4 875428765 +26 840 2 891386049 +642 1063 3 885603740 +339 549 4 891034040 +661 514 3 876013398 +452 88 2 875559842 +457 239 5 882397267 +618 125 3 891308704 +640 14 4 886474436 +597 283 5 875340010 +664 649 4 876525044 +266 245 1 892257446 +680 121 3 876816268 +16 158 4 877727280 +620 15 5 889987210 +227 127 4 879035387 +693 428 3 875484763 +280 1099 5 891701114 +521 184 4 884478358 +349 126 2 879465598 +704 50 5 891397262 +605 831 1 879429729 +629 172 5 880117333 +504 196 4 887838935 +464 302 5 878354626 +18 517 2 880129388 +554 125 3 876550913 +755 319 3 882569801 +279 1028 4 875296104 +408 1296 4 889679901 +498 435 3 881956363 +653 313 4 890180685 +267 411 3 878974325 +627 58 5 879529958 +758 431 3 881977309 +405 367 1 885547222 +224 92 1 888103812 +385 520 3 879441599 +252 149 5 891456876 +753 79 4 891401665 +731 357 5 886187538 +771 762 2 880659970 +644 328 4 889076222 +83 300 3 889050543 +450 481 5 882373231 +711 1014 4 886030873 +386 825 4 877655146 +318 540 4 884498141 +435 250 4 884134290 +119 252 3 874780832 +643 177 4 891448002 +294 1089 2 877820132 +653 197 3 878854332 +457 450 4 882392853 +514 430 4 875462901 +49 1036 2 888069304 +659 196 4 891384888 +659 153 4 891045891 +650 515 4 891369678 +312 506 4 891699121 +200 95 5 884128979 +738 210 5 892844112 +659 794 3 891386910 +477 369 4 875940836 +527 462 3 879455707 +276 890 3 880913460 +6 153 4 883603013 +669 174 3 891260369 +454 15 2 881960029 +101 1009 2 877136598 +450 936 5 889569270 +145 892 2 885557505 +618 1185 2 891309471 +416 322 3 876696788 +373 705 4 877099934 +768 173 5 883835053 +715 12 4 875963657 +298 284 4 884126240 +381 276 3 892696587 +619 281 4 885954133 +175 50 5 877107138 +758 892 2 883190434 +399 72 4 882350323 +682 808 4 888517762 +230 405 4 880485634 +566 288 3 881650627 +328 956 4 885046912 +503 452 1 879454950 +666 288 3 880138999 +716 82 5 879796138 +695 319 5 888806056 +196 411 4 881252090 +89 709 3 879459980 +482 748 4 887643365 +669 427 4 892550137 +717 290 3 884642738 +119 137 5 886176486 +222 393 4 878184028 +416 792 4 876699526 +601 840 2 876347599 +1 115 5 878541637 +773 169 5 888539232 +627 510 4 879529730 +236 427 5 890118153 +108 931 2 879880190 +606 183 5 880926162 +724 690 1 883757468 +554 151 4 876550100 +577 118 3 880471658 +627 582 3 879529916 +189 661 4 893265569 +13 881 2 881514876 +624 181 4 879792378 +64 228 4 889739438 +129 906 5 883245310 +749 879 4 878846449 +655 904 5 887473639 +758 7 5 881975243 +734 198 1 891022734 +551 95 5 892783791 +762 116 1 878719186 +42 523 5 881107375 +286 741 4 876521887 +436 1058 4 887770547 +514 48 4 875318114 +621 584 5 874965094 +525 762 4 881085917 +654 169 5 887864275 +184 396 3 889910326 +524 484 4 884634646 +749 144 5 878847835 +508 132 5 883767279 +487 1440 4 884045494 +387 27 1 886483252 +346 3 3 875265392 +308 134 5 887737686 +714 477 2 892777408 +234 770 4 892335920 +578 1264 3 890939815 +624 591 3 879792557 +655 124 3 887426087 +763 88 4 878918486 +425 2 2 878738757 +495 523 5 888632155 +757 226 3 888467038 +666 177 3 880567612 +716 491 4 879794934 +90 1005 2 891383912 +621 123 4 880738080 +340 584 3 884991369 +686 99 5 879546553 +506 294 4 877861414 +585 584 3 891286256 +523 477 3 883703495 +477 731 4 875941275 +288 632 4 886373591 +467 1 4 879532459 +545 379 4 879900010 +666 506 5 880139252 +561 790 1 885810538 +608 427 4 880403765 +135 327 4 879857575 +291 245 2 874805577 +455 96 4 879111616 +497 716 4 878759745 +453 254 2 877562293 +619 188 4 885954158 +409 733 4 881109264 +329 199 4 891656347 +158 283 5 880132421 +665 315 4 884697720 +487 566 4 883529540 +497 559 4 879362359 +339 568 3 891035061 +374 11 4 880395202 +708 864 3 892719172 +413 303 5 879968793 +270 251 5 876954752 +656 346 3 892318488 +59 622 4 888206015 +648 929 4 882211066 +747 173 3 888640862 +664 77 3 876526631 +234 357 4 892333573 +551 227 5 892783488 +435 219 5 884133691 +577 739 3 880474871 +734 174 4 891025247 +738 191 4 875350086 +466 327 3 890282956 +765 285 5 880346694 +452 66 4 885816884 +234 607 4 892079140 +134 302 2 891732150 +660 496 3 891199082 +643 423 4 891447370 +655 50 4 887425458 +660 825 2 891198549 +519 264 2 883248251 +7 68 4 891351547 +56 385 4 892676429 +543 742 3 874861699 +440 300 3 891546785 +426 178 4 879444080 +13 223 5 882139901 +667 527 4 891035121 +360 661 5 880356131 +450 73 3 887661438 +749 403 4 878849903 +551 1047 4 892785264 +541 527 3 883864638 +547 345 5 891282555 +405 564 1 885547606 +716 1 5 879793192 +233 504 5 877663128 +318 14 4 884471030 +211 205 5 879459952 +712 110 5 874956956 +727 155 3 883712068 +490 117 1 875427948 +558 20 5 879436396 +648 520 4 884367538 +561 515 3 885807215 +363 946 4 891498510 +275 434 3 880315396 +176 508 3 886047879 +664 484 5 878090705 +302 294 1 879436911 +249 31 4 879572688 +328 343 3 885044452 +682 15 4 888523581 +772 312 4 889028941 +495 101 5 888632943 +492 137 4 879969670 +378 220 2 880044944 +124 195 4 890399864 +286 340 4 879780905 +715 239 4 875963867 +582 455 1 882961481 +710 265 4 883705484 +70 289 3 884066399 +113 245 3 875325377 +749 11 5 878848189 +84 286 5 883449271 +416 619 4 886315423 +766 451 2 891310824 +669 310 4 892549126 +489 304 3 891362812 +640 210 5 876067710 +554 218 4 876550654 +756 117 4 874828826 +476 655 4 883365019 +756 178 5 874831383 +102 541 2 888801673 +704 178 5 891397535 +531 751 4 887048836 +487 31 5 883446685 +200 323 3 884125973 +758 177 5 881974823 +707 903 3 886285216 +665 185 4 884294200 +706 628 4 880997412 +720 906 4 891262697 +340 274 4 884991618 +588 645 5 890024488 +576 15 4 886985104 +435 7 4 884131597 +606 298 4 880920725 +525 289 3 881085256 +731 487 4 886184682 +198 27 2 884208595 +600 172 4 888451665 +63 287 3 875747829 +471 932 5 889828027 +621 385 5 874963797 +748 48 4 879455083 +506 208 4 874873423 +586 467 4 884066230 +586 790 3 884067151 +573 685 3 885843779 +393 51 4 887746456 +244 710 3 880607034 +378 393 3 880057018 +30 321 4 875988547 +669 118 2 892549838 +98 435 5 880498967 +293 686 3 888906869 +279 977 4 875297281 +268 652 4 875309232 +758 1142 5 880672766 +452 136 4 875266060 +699 1143 3 879146941 +429 642 4 882386600 +600 515 5 888451492 +725 264 1 876103811 +464 16 4 878355211 +764 223 3 876244625 +320 176 4 884749255 +290 31 4 880475032 +715 250 2 875962806 +561 607 5 885807173 +295 794 4 879518978 +385 529 4 879445949 +532 570 4 888629804 +655 547 4 887523176 +450 1028 4 882469250 +313 231 2 891028323 +435 561 2 884133064 +698 656 1 886367133 +659 498 3 891383733 +606 69 4 880926339 +197 554 4 891410170 +730 50 4 880310285 +379 395 2 880741868 +672 756 2 879789244 +26 250 3 891350826 +165 169 5 879525832 +301 71 4 882077007 +308 17 4 887739056 +49 239 2 888068912 +255 335 4 883215630 +352 176 5 884289693 +405 402 3 885546445 +524 583 4 884635326 +747 180 5 888639735 +536 707 5 882359678 +619 273 4 885953778 +62 1135 2 879376159 +586 153 2 884058956 +712 776 4 874730155 +610 705 3 888703710 +369 346 4 889427890 +654 109 3 887863635 +59 96 5 888205659 +72 972 4 880036911 +636 258 5 891448155 +699 413 3 884152706 +638 121 4 876694995 +145 62 2 885557699 +401 257 2 891032563 +187 134 3 879465079 +608 310 1 880402450 +733 1142 4 879535694 +179 1127 1 892151270 +500 59 4 883873528 +622 949 3 882672941 +154 258 3 879138235 +146 272 5 891457538 +435 568 2 884131868 +707 12 3 886286004 +514 172 4 875462726 +717 117 4 884642339 +176 319 3 886046979 +744 508 5 881171907 +661 196 3 888300680 +721 358 1 877137214 +6 89 4 883600842 +676 482 4 892686702 +399 470 4 882344832 +487 2 3 883531122 +699 285 4 879148050 +716 293 4 879793258 +216 22 5 880234346 +385 12 3 879441425 +767 478 4 891463095 +664 152 3 878091463 +279 778 4 891209332 +733 288 2 879535694 +137 411 5 881433490 +227 13 5 879035205 +758 248 4 880672747 +665 538 4 884290143 +774 1091 1 888558041 +460 1142 4 882911203 +462 237 5 886365387 +275 542 3 880313680 +750 270 4 879445877 +389 649 4 880165344 +457 148 4 882395360 +699 991 3 879382830 +586 676 3 884066112 +64 127 5 879366214 +507 313 5 889964121 +541 102 4 883874778 +164 307 5 889401284 +771 690 4 880659235 +536 740 4 882318630 +724 909 1 883758208 +561 746 3 885809025 +640 302 5 888025971 +31 271 4 881547854 +749 622 3 878850675 +394 797 3 881058330 +397 751 3 885349348 +671 925 3 883949781 +707 715 3 886286954 +452 197 5 885816768 +541 500 4 883874682 +774 1419 1 888557409 +683 358 2 893283948 +521 393 3 884478667 +373 259 5 877098041 +751 250 3 889132397 +642 1036 4 885606234 +711 763 1 876185767 +713 1127 3 888882225 +760 65 2 875667131 +763 200 4 878915015 +722 122 3 891281655 +751 472 2 889299043 +572 121 2 879449610 +643 163 4 891448839 +693 196 2 875482548 +488 414 2 891293863 +325 1203 5 891478159 +463 310 3 889936490 +540 258 4 882156584 +429 466 2 882384847 +660 265 2 891199241 +482 50 4 887644063 +145 31 5 875271896 +60 1060 4 883326995 +454 134 3 881959991 +504 219 3 887911314 +761 278 4 876190370 +456 23 4 881373019 +406 134 5 879445430 +556 481 5 882136441 +450 112 2 882468307 +38 400 1 892434036 +711 778 4 884485635 +721 328 5 877136303 +757 771 2 888467160 +655 1466 3 890497592 +746 128 3 885075211 +405 566 1 885547953 +279 671 2 875296238 +655 694 3 887428772 +765 237 3 880346797 +717 235 4 884642762 +763 1 4 878915559 +638 186 5 876695859 +411 210 5 892845605 +518 9 3 876822811 +687 749 4 884651746 +276 218 4 874792663 +533 823 4 879192901 +698 255 3 886366213 +705 554 2 883428201 +498 79 3 881959104 +59 369 2 888203959 +466 405 3 890284903 +693 423 3 875482136 +640 1244 3 886474849 +514 1160 4 886189748 +718 284 4 883349191 +682 41 3 888522073 +488 207 3 891294942 +548 237 4 891415540 +660 139 2 891202060 +574 900 4 891278860 +21 50 3 874951131 +751 418 5 889135211 +758 269 4 880672230 +747 531 4 888732609 +299 55 2 877881061 +693 673 4 875483050 +712 732 5 874730370 +694 641 4 875726618 +664 603 5 876526518 +761 289 2 876189871 +537 59 3 886031178 +586 76 5 884059196 +453 22 5 877553870 +18 702 3 880131407 +755 294 3 882569574 +719 392 4 879360846 +321 531 4 879440294 +79 676 3 891271957 +535 60 5 879618613 +611 313 3 891636125 +682 1440 2 888517538 +591 451 3 891040366 +684 181 4 875810999 +633 117 3 875326491 +345 191 5 884902317 +87 496 5 879877709 +707 712 3 886288624 +40 242 4 889041330 +648 230 5 884796822 +777 286 2 875979137 +537 1070 3 886031678 +655 288 3 887472814 +757 678 2 888443531 +495 188 4 888632250 +747 279 4 888732571 +738 95 4 875350122 +508 70 4 883776748 +567 511 2 882425701 +219 664 5 889403761 +26 249 2 891377609 +212 127 2 879303571 +527 855 2 879455814 +10 602 5 877889057 +435 983 2 884134830 +429 50 5 882384553 +715 399 2 875963418 +305 191 3 886322966 +259 181 4 874809057 +276 28 4 874787441 +561 644 3 885807743 +601 87 4 876349503 +402 19 4 876267096 +655 1639 4 887650483 +630 272 5 885756030 +398 589 3 875657734 +116 303 3 890633075 +666 496 4 880139149 +405 1229 1 885546835 +311 39 4 884364999 +680 1089 2 877075214 +271 504 3 885849025 +440 736 5 891578036 +560 12 5 879975661 +573 283 4 885843817 +474 288 3 887914615 +712 420 3 874957140 +654 431 4 887864414 +713 1176 3 888882224 +269 59 4 891447141 +653 578 1 880153009 +622 433 4 882669886 +542 864 3 886533112 +745 519 5 880123751 +660 386 2 891200904 +327 131 4 887818783 +389 499 4 880087873 +660 56 1 891265453 +313 157 3 891017372 +391 482 4 877399380 +666 430 4 880139614 +503 14 3 879438161 +332 222 4 887916529 +551 735 5 892783110 +13 160 4 882140070 +532 946 5 888635366 +757 2 3 888466490 +445 208 2 890987712 +682 304 1 888523810 +452 22 5 885544110 +554 294 3 876231229 +759 1016 5 881476922 +514 10 4 875462867 +730 748 4 880310082 +473 303 4 878156932 +655 831 2 887564549 +739 79 4 886958938 +215 692 3 891436277 +666 11 4 880314453 +518 10 3 876822744 +747 661 5 888639642 +222 51 3 881059816 +144 1010 3 888104834 +696 883 4 886404208 +642 624 3 885606608 +85 923 4 879455403 +605 121 1 879429706 +647 427 4 876534275 +551 68 2 892783972 +690 88 4 881177689 +543 1555 3 874863155 +456 46 3 881374613 +764 245 4 876244181 +650 232 3 891381634 +435 640 4 884132873 +776 422 2 892210688 +405 218 5 885548330 +389 94 2 880089115 +167 673 4 892738341 +605 118 3 879429729 +271 81 3 885849113 +435 424 1 884134536 +666 168 4 880314272 +620 416 4 889988196 +524 511 5 884634707 +543 1099 4 874863878 +731 393 5 886183978 +606 477 4 878143247 +465 1 4 883530054 +536 180 4 882359431 +303 1230 1 879485447 +704 486 4 891397764 +618 746 2 891308946 +666 924 2 880313582 +480 64 3 891208293 +374 156 2 880395896 +771 203 1 880659482 +669 347 3 891182948 +347 928 3 881653176 +545 541 4 879899548 +658 168 3 875148108 +537 638 3 886030682 +381 525 5 892696982 +625 588 4 891263057 +104 825 1 888466028 +551 182 5 892776824 +724 299 1 883758119 +641 434 4 879370259 +6 7 2 883599102 +437 412 3 880142147 +642 403 4 886454812 +551 186 5 892783142 +503 286 3 879438191 +602 148 4 888638517 +642 485 5 885602612 +145 859 3 882182763 +609 294 2 886895346 +622 67 1 882671463 +777 168 5 875980492 +709 164 3 879848120 +647 742 4 876534275 +554 21 1 876232212 +629 191 3 880116887 +399 1170 3 882510250 +405 1065 1 885546069 +545 151 4 880348074 +728 25 4 879443155 +469 520 4 879523947 +760 183 2 875667366 +429 190 5 882387773 +661 506 3 886841865 +168 252 1 884288304 +653 177 3 880150702 +80 237 4 887401732 +575 98 4 878146853 +554 132 4 876550453 +675 1255 1 889490151 +111 305 2 891680243 +92 432 3 876175031 +576 323 3 886960604 +749 121 3 878847645 +533 109 2 879192986 +555 748 4 879962096 +450 503 4 882371311 +455 1160 4 879108892 +22 161 4 878887925 +600 399 4 888452491 +94 553 3 891722511 +733 847 3 879535471 +758 288 4 882056007 +627 196 5 879530172 +102 13 3 892991118 +756 404 3 874830908 +780 70 2 891363969 +587 937 4 892871031 +717 291 4 884642479 +409 266 1 881105677 +773 72 3 888539531 +532 402 5 893118712 +416 401 2 886318651 +676 682 1 892685716 +757 260 3 888443511 +766 487 3 891309090 +712 4 4 874730179 +444 748 1 890247172 +694 448 3 875729489 +70 507 4 884066886 +538 79 4 877107050 +455 148 3 879110346 +572 13 4 879449763 +716 507 5 879796072 +716 1047 3 879794200 +606 248 5 887058736 +745 177 3 880123572 +560 847 4 879976449 +332 313 5 887916125 +699 109 3 879147109 +429 7 2 882385569 +133 750 4 890588720 +222 1440 3 878184697 +1 11 2 875072262 +727 343 3 883708149 +646 313 5 888528457 +361 727 3 879440740 +492 134 3 879969644 +299 60 5 878192680 +437 705 4 880141335 +470 471 5 879178593 +704 1296 4 891397015 +145 728 2 875272988 +774 195 3 888557236 +90 57 5 891385389 +510 313 5 887667439 +250 191 5 878091869 +571 964 4 883355063 +650 99 4 891372365 +699 277 3 878882319 +535 87 5 879618965 +719 742 4 879358893 +709 92 4 879848397 +658 1079 2 875145572 +604 56 2 883668097 +175 186 4 877107790 +391 603 5 877398991 +716 47 3 879795606 +276 943 4 883822485 +363 283 2 891495987 +751 487 5 889134705 +521 763 4 884476152 +437 219 3 880143663 +542 775 2 886533253 +340 66 5 884990798 +450 716 4 882469166 +586 427 3 884066016 +504 506 4 887910552 +761 147 4 876190370 +286 372 4 877532683 +709 229 2 879848645 +554 111 4 876550526 +693 572 2 875484148 +727 541 4 883712751 +664 52 5 876525736 +660 211 4 891199104 +334 169 4 891546348 +468 377 2 875288503 +726 819 3 889832688 +648 323 5 882212526 +429 603 4 882384847 +652 301 1 882566948 +592 261 1 882607744 +537 10 4 886030109 +728 322 4 879442761 +721 1392 3 877137598 +7 510 5 891352134 +554 216 3 876369162 +580 252 5 884125829 +1 245 2 875071713 +7 594 3 891354114 +677 307 5 885191227 +472 1035 4 875981759 +738 226 3 875351299 +109 732 3 880572588 +379 372 4 880961807 +406 727 3 882480749 +184 1008 4 889907896 +330 559 3 876547500 +542 15 2 886533483 +592 243 1 882607780 +537 739 1 886032154 +233 216 5 877665357 +357 411 3 878952041 +615 319 4 879447585 +669 114 5 892550196 +629 333 4 880116722 +766 1444 2 891310508 +655 216 4 887428086 +653 202 3 880151794 +645 640 4 892055285 +664 770 4 876526659 +347 15 2 881652535 +606 427 4 880924106 +664 425 3 876524937 +744 963 5 881170576 +68 1089 1 876974484 +605 288 5 879365158 +94 736 5 891721077 +7 640 3 891353614 +336 546 3 877760310 +621 122 2 880738838 +561 131 4 885808929 +389 420 3 880088229 +130 932 3 876251389 +761 294 3 876189664 +42 227 4 881109060 +72 233 4 880037242 +158 161 2 880134477 +128 274 4 879969084 +207 367 3 875508873 +295 385 4 879518864 +151 487 5 879524669 +314 401 3 877890769 +437 435 3 881001945 +660 663 2 891199833 +452 202 3 885547846 +450 82 3 887834953 +233 187 4 876021170 +293 527 4 888906598 +727 890 1 883708478 +279 170 3 875312643 +30 313 5 885941156 +116 289 4 876452094 +201 200 5 884112537 +81 284 3 876533894 +280 742 4 891701249 +642 120 3 886206256 +666 331 4 880138999 +505 154 1 889334555 +640 79 5 874778515 +497 164 4 879361872 +501 369 4 883348703 +537 123 2 886030109 +744 428 4 881170528 +645 188 4 892054906 +424 681 3 880859115 +561 91 4 885807455 +13 439 1 882397040 +110 808 2 886988250 +773 27 1 888540218 +7 387 3 892133670 +180 372 5 877127237 +407 235 4 875044531 +71 177 2 885016961 +294 323 3 877818729 +527 657 4 879455999 +629 81 3 880117689 +141 15 5 884584981 +714 871 3 892777903 +30 257 4 885941257 +650 444 2 891388341 +269 402 2 891448697 +765 15 2 880346491 +192 515 4 881367889 +474 945 4 887923923 +95 133 3 888954341 +774 739 2 888558187 +232 165 4 888550036 +399 340 2 882340517 +60 708 4 883326784 +152 278 4 880149166 +279 288 3 875249102 +761 924 4 876190723 +585 340 2 891281651 +387 474 5 886480163 +249 156 5 879572402 +655 474 3 888813306 +708 358 2 892719007 +711 1518 3 879993997 +614 458 4 879464287 +586 51 4 884066336 +378 762 3 880044879 +717 222 4 884642215 +613 1 4 891227410 +587 286 4 892870992 +779 284 3 875994401 +763 960 4 878915958 +655 24 3 887473831 +684 70 4 878761788 +409 1558 5 881107281 +495 155 3 888635455 +665 475 3 884290349 +474 478 4 887926804 +377 272 5 891295989 +319 346 3 889816026 +579 66 4 880952516 +752 748 4 891208392 +16 423 5 877721142 +460 847 3 882912205 +174 286 5 890168158 +766 53 4 891310281 +712 622 4 874730293 +220 269 5 881197597 +387 580 5 886483565 +603 449 4 891955972 +592 301 1 882607573 +727 826 2 883713738 +694 82 5 875728345 +406 96 5 879446529 +125 209 4 879455241 +360 187 4 880355527 +649 15 4 891440373 +407 72 4 876344772 +665 282 4 884291094 +677 126 1 889399265 +758 224 4 881975922 +472 122 3 875979153 +327 129 4 887744384 +276 202 4 874791871 +752 300 3 891208126 +676 50 5 892686083 +588 1 4 890015684 +301 1052 1 882075386 +587 878 2 892871641 +537 971 4 886031375 +576 137 3 886985695 +588 393 4 890026939 +737 180 4 884314644 +654 71 3 887864610 +405 816 1 885548435 +774 920 2 888559297 +764 118 3 876243046 +562 231 1 879196446 +37 172 4 880930072 +766 229 3 891310210 +661 117 4 886841250 +760 181 3 875666268 +115 229 3 881171693 +6 192 4 883600914 +399 132 3 882343327 +453 959 4 877561676 +428 268 4 885943818 +756 398 3 874831050 +776 769 3 892920446 +456 419 4 881374124 +303 813 4 879467985 +715 193 5 875965127 +223 309 4 891548750 +707 238 4 886286764 +764 140 3 876245940 +172 124 4 875537151 +560 496 3 879975752 +406 289 3 879445250 +711 230 3 879995053 +303 1135 2 879485589 +734 662 3 891022704 +682 556 2 888517840 +477 90 4 875941275 +303 670 2 879544062 +187 209 4 879465370 +655 1650 4 892871225 +497 96 4 879310705 +450 126 5 882396051 +219 223 5 892039530 +580 100 3 884124872 +665 833 3 884291210 +676 1 5 892686188 +328 153 2 886037257 +385 347 3 885844578 +470 235 3 879178486 +747 132 4 888732640 +201 515 5 884111546 +524 482 5 884634938 +59 510 4 888204502 +619 302 4 885953600 +533 596 2 880402996 +224 157 4 888103971 +643 1 5 891445287 +454 678 2 881958782 +326 515 5 879874897 +574 319 5 891279236 +327 31 2 887820531 +474 525 4 887925837 +372 5 4 876869445 +7 502 5 891352261 +722 7 4 891280842 +524 478 3 884637376 +95 405 3 879194159 +711 1285 3 879995238 +536 405 2 882318246 +711 588 4 879993173 +618 729 3 891308945 +745 285 1 880123905 +450 373 3 887834953 +665 191 3 884293475 +639 778 5 891239613 +727 809 4 883713082 +774 511 3 888556483 +615 523 5 879448735 +234 1170 1 892336077 +731 216 5 886184682 +778 94 2 891233603 +110 333 4 886987288 +763 367 3 878918871 +472 239 5 875982398 +627 318 5 879529701 +757 28 3 888467794 +406 368 2 880132115 +92 984 2 888469687 +671 591 3 883546333 +564 289 4 888718546 +343 26 3 876404689 +345 566 3 884992194 +624 123 3 879793223 +59 705 4 888205087 +49 182 3 888069416 +463 20 5 877385590 +707 492 2 886286818 +393 281 4 887745343 +299 820 3 889501620 +758 108 5 881978148 +679 64 4 884487052 +719 9 4 883354106 +416 252 4 876698115 +663 316 4 889491974 +435 125 3 884132483 +655 895 3 887472767 +58 169 4 884304936 +601 928 1 876348140 +417 290 4 879646661 +234 478 3 892079538 +272 204 4 879454939 +267 498 5 878971902 +559 55 4 891035111 +712 177 2 874730155 +92 743 2 890251826 +573 513 4 885844395 +385 318 2 879441572 +68 596 2 876974023 +761 1197 3 876190025 +73 187 5 888625934 +99 290 4 886518628 +382 134 3 875947149 +624 1120 4 879793269 +562 1 2 879194894 +409 945 3 881108971 +716 357 5 879795762 +655 289 3 887425070 +506 435 5 874873744 +407 656 4 875042865 +256 123 2 882150508 +616 873 3 891224767 +606 419 4 880924188 +683 1280 3 893284032 +116 902 2 890632896 +664 209 4 876525998 +743 224 5 881277931 +599 1277 4 880952496 +722 237 4 891280988 +110 393 3 886989363 +782 1216 2 891500150 +224 321 2 888082134 +655 521 3 887426900 +628 340 5 880777095 +664 180 4 876524641 +643 23 5 891447835 +665 31 3 884294880 +520 898 5 885168939 +468 246 5 875280352 +736 50 3 878708579 +758 619 4 881977205 +154 238 5 879139040 +586 318 3 884065986 +117 156 4 881011376 +314 717 3 877890769 +764 742 3 876243410 +517 761 5 892660727 +405 1228 1 885548137 +484 98 4 891195687 +588 731 2 890026705 +79 257 3 891271545 +758 58 4 881977169 +643 66 3 891448786 +463 121 3 877385797 +704 289 3 891396881 +102 856 2 892993927 +487 55 5 883446685 +738 63 3 875351905 +221 391 3 875247754 +312 657 5 891698485 +567 175 5 882425630 +625 202 3 891262633 +492 205 4 879969692 +286 4 5 877531899 +297 546 3 874954763 +786 276 1 882841875 +537 707 4 886031576 +416 412 2 892440119 +405 782 1 885546636 +195 60 3 888737240 +747 44 2 888639437 +477 237 4 875940451 +377 168 5 891298407 +711 741 4 886030774 +705 282 5 883427216 +618 68 3 891309608 +682 66 3 888521740 +198 186 5 884207733 +747 835 3 888640180 +704 154 3 891398702 +417 190 5 879647065 +754 284 3 879451775 +523 301 4 883700064 +328 778 3 885047822 +308 485 3 887737719 +430 674 4 877226405 +495 732 4 888634070 +715 82 4 875964025 +690 746 2 881177532 +764 820 3 876243953 +500 281 3 883865463 +716 661 3 879794870 +655 161 2 887429758 +588 578 5 890029212 +638 504 2 876695560 +180 747 4 877128156 +646 892 2 888529180 +399 673 3 882343789 +747 183 5 888732899 +663 258 3 889491560 +295 100 5 879518080 +244 144 1 880602264 +389 835 5 879991242 +97 83 1 884238817 +640 550 4 874778722 +213 458 4 878870679 +633 665 3 875325577 +682 87 5 888517235 +473 124 4 878157357 +680 9 4 876816106 +466 174 5 890284706 +395 472 3 883765965 +506 62 3 874874894 +601 123 1 876347148 +493 550 4 884132181 +506 69 5 874873327 +632 56 3 879458277 +758 1085 5 881975503 +18 957 3 880132188 +621 176 3 874963797 +608 699 5 880406507 +774 576 1 888557520 +275 1219 2 880313679 +457 216 5 882396765 +291 1067 4 874805892 +630 126 4 885667305 +758 56 5 881976031 +393 338 2 887742964 +92 186 4 875653960 +405 139 3 885549005 +773 64 4 888540507 +715 789 4 875963353 +291 636 4 874834799 +293 468 2 888906869 +395 215 5 883763768 +151 470 3 879528674 +517 335 3 875492066 +13 873 1 881515565 +286 884 5 884069544 +62 676 3 879372633 +548 185 5 891044356 +371 443 4 880435576 +312 194 4 891699207 +59 187 5 888204349 +76 223 2 882606623 +693 508 2 875482447 +92 1074 3 875907535 +747 292 4 888638293 +408 328 2 889679791 +325 210 2 891478796 +243 25 3 879987875 +474 116 5 887915366 +542 734 3 886533303 +551 356 4 892783829 +708 764 4 877325934 +465 143 4 883531380 +716 25 4 879793737 +233 50 3 876021213 +721 157 3 877140137 +4 327 5 892002352 +458 273 4 886394730 +472 43 4 875982560 +602 895 3 888637925 +553 513 4 879948806 +671 177 4 884035775 +121 276 3 891388453 +195 134 5 875771441 +92 789 5 875653242 +771 88 4 880659970 +642 99 2 885602446 +445 1008 1 891200320 +94 1225 3 891723262 +176 7 5 886048188 +311 238 4 884365357 +546 769 4 885141465 +650 91 4 891371061 +778 78 1 890803860 +267 742 3 878970621 +417 78 2 879649632 +459 748 4 879561754 +13 485 1 882140624 +327 792 4 887819021 +506 699 4 888848303 +709 82 4 879848645 +758 50 4 884999132 +704 191 3 891397262 +754 9 4 879451626 +435 187 4 884131489 +627 808 2 879531557 +250 943 4 878091870 +734 143 5 891022958 +256 218 3 882164727 +682 572 4 888521116 +723 174 4 880498996 +715 926 4 875962201 +450 280 4 882397940 +579 258 5 880951444 +642 815 4 892241051 +499 97 4 885599227 +671 356 3 883949781 +399 693 3 882510165 +5 409 2 878844651 +592 1023 1 882608873 +747 443 5 888640136 +181 116 1 878962550 +554 732 4 876550833 +401 151 1 891032584 +249 7 5 879572760 +721 357 5 877140221 +786 405 4 882842311 +328 357 4 885046244 +409 1099 4 881168712 +405 208 5 885547124 +588 485 5 890015835 +405 434 3 885546201 +639 648 3 891239491 +698 705 4 886366611 +566 582 5 881650186 +447 123 3 878854459 +624 111 3 879792671 +178 1 4 882823805 +716 502 3 879795867 +152 411 4 880149350 +95 389 4 880572388 +305 709 5 886324221 +592 265 4 882956039 +748 71 3 879454546 +401 748 3 891031784 +503 166 5 880472188 +698 190 5 886366515 +158 121 4 880132701 +543 919 2 874863549 +682 323 2 888516865 +221 42 5 875245813 +540 1226 4 882157732 +327 48 4 887745662 +347 188 5 881654480 +773 959 4 888539608 +201 1136 1 884140637 +711 509 4 879993674 +626 748 2 878771281 +15 328 3 879455192 +734 210 3 891022937 +587 304 4 892871141 +52 302 4 882922065 +92 771 1 875907180 +584 165 1 885778780 +747 654 5 888639939 +766 357 4 891309558 +640 1054 1 886474010 +286 1074 4 889652912 +1 35 1 878542420 +267 82 4 878973675 +173 319 4 877556926 +596 13 2 883539402 +663 125 3 889492720 +453 80 2 888205783 +699 24 3 879147239 +472 64 5 875981829 +612 604 4 875325256 +749 64 4 878847171 +333 100 4 891045666 +554 121 4 876232267 +664 222 3 876524641 +11 527 4 891904335 +650 164 4 891369798 +654 265 5 887864330 +618 501 4 891308884 +687 678 4 884652482 +682 834 3 888522971 +466 908 4 890284651 +725 245 4 876103793 +493 647 4 884131287 +405 180 3 885546069 +534 978 4 877808175 +704 514 4 891397112 +592 845 4 882608573 +25 463 4 885852529 +717 302 5 884641599 +727 566 3 883711449 +559 233 3 891034688 +487 257 4 883442260 +681 539 4 885409810 +295 743 4 879518674 +655 1281 3 891585477 +686 1184 1 879547337 +456 188 4 881373573 +740 242 4 879523187 +643 168 5 891447157 +459 523 4 879564915 +497 475 4 878759705 +527 200 3 879455999 +436 83 5 887770115 +87 514 4 879876672 +671 554 4 884036411 +671 29 3 884036050 +784 269 5 891387155 +748 496 4 879454455 +532 795 2 874789538 +415 185 4 879439960 +758 865 4 881975005 +768 282 4 880135987 +521 97 3 884478049 +505 22 5 889333274 +582 763 2 882961804 +264 137 3 886122892 +409 647 5 881107817 +354 606 5 891217633 +541 553 4 883865289 +326 187 1 879875243 +642 1531 3 886569226 +184 692 4 889909672 +222 418 2 878182959 +334 569 2 891548920 +327 108 3 887819614 +291 550 4 874835218 +405 80 1 885547557 +409 528 4 881107281 +677 1 4 889399229 +588 121 5 890026154 +504 409 4 889550757 +719 7 2 877311269 +435 218 3 884133194 +664 203 4 876526685 +709 4 3 879848551 +627 568 2 879531301 +347 1047 1 881653224 +727 562 2 883713548 +276 790 3 877935306 +721 699 3 877147080 +243 125 3 879988298 +757 195 4 888445802 +682 328 3 888518363 +720 306 4 891262635 +650 72 2 891386755 +239 242 5 889178512 +447 144 5 878856078 +389 205 4 880165939 +653 82 4 880150393 +711 694 5 879993318 +495 204 4 888632155 +533 866 2 887032297 +676 508 1 892686134 +771 83 5 880659369 +724 300 3 883757468 +328 194 3 885046976 +344 751 4 886381635 +331 175 4 877196235 +522 510 5 876961190 +711 432 4 879992870 +770 477 4 875972259 +393 644 3 889555074 +257 121 3 882050360 +92 783 3 875907574 +682 181 5 888518639 +495 176 5 888632496 +715 298 4 875962076 +716 417 3 879797257 +408 294 5 889680045 +504 1210 3 887840637 +377 173 5 891298589 +161 284 3 891172246 +777 153 1 875980541 +42 467 3 881108425 +724 1176 1 883757397 +561 631 3 885808000 +653 223 3 878866636 +313 402 3 891031747 +416 65 5 893212930 +495 226 4 888633011 +480 257 4 891208037 +345 742 4 884991191 +184 485 4 889908947 +710 50 4 882063766 +533 367 2 879191972 +176 881 3 886047531 +445 127 2 890987687 +704 496 5 891397712 +551 411 1 892784437 +626 330 3 878771447 +780 433 1 891363826 +707 378 3 886287628 +497 1240 5 879310070 +562 73 4 879195881 +561 48 4 885807547 +788 568 3 880869862 +514 174 5 875310992 +398 588 4 875659517 +615 187 5 879448598 +674 50 4 887762584 +642 392 4 886132237 +561 217 3 885810858 +722 412 2 891281679 +630 298 5 885666686 +472 186 5 888183325 +279 781 3 875314001 +230 435 4 880484444 +588 275 3 890024246 +655 221 3 891585242 +788 723 3 880870207 +708 271 1 892718796 +76 129 3 878101114 +640 347 3 886353742 +80 205 5 887401533 +222 386 2 881060205 +566 203 4 881650148 +437 523 3 881002191 +211 705 4 879459952 +291 262 4 874833603 +176 150 4 886047879 +115 279 3 881170725 +766 483 3 891309250 +173 303 5 877556864 +56 204 5 892676908 +655 1062 3 887650979 +417 109 2 879646369 +59 190 5 888205033 +532 842 4 888635407 +201 431 1 884112352 +766 82 3 891309558 +709 739 3 879849049 +543 169 4 875663267 +618 203 3 891308176 +152 143 5 882474378 +456 414 3 881374331 +650 188 3 891381610 +452 194 4 885816440 +758 153 5 881976377 +770 301 4 875971703 +671 1217 4 883547351 +209 127 5 883417589 +614 756 4 879465398 +738 969 4 892957860 +434 471 2 886724797 +608 499 4 880403484 +749 625 3 878848430 +472 780 4 875982922 +470 7 3 879178518 +627 183 5 879531196 +655 732 3 887428445 +776 672 3 892920381 +318 188 3 884497031 +650 229 2 891370031 +712 949 4 874730370 +498 754 2 881962988 +462 292 5 886365260 +707 1257 2 880061190 +788 23 3 880868277 +757 157 3 888467855 +698 1149 3 886367013 +328 572 3 885049658 +145 690 4 877342952 +751 735 4 889134332 +417 1091 3 879648435 +457 729 4 882547857 +758 287 5 881975182 +452 462 4 875264825 +756 122 1 874831227 +498 381 3 881961312 +702 259 3 885767604 +615 23 5 879448547 +694 1205 3 875727550 +468 95 4 875287826 +517 1047 2 892659923 +535 14 3 879618743 +655 604 4 888984325 +682 272 5 888523619 +632 204 4 879458277 +353 750 4 891402757 +680 98 4 876816224 +499 307 4 885597747 +586 405 5 884061807 +771 237 5 880659482 +416 133 2 876699903 +379 183 4 886317511 +583 357 5 879384575 +413 50 5 879969674 +586 800 3 884061189 +731 205 1 886187652 +655 1196 3 888984325 +332 452 4 888360508 +308 61 3 887739336 +532 72 3 888636538 +532 619 5 889235367 +387 528 4 886483906 +262 546 2 879791049 +97 169 5 884238887 +648 152 5 884368485 +622 550 4 882670929 +773 239 4 888539512 +766 77 2 891310313 +468 172 4 875293386 +567 188 5 882426055 +773 229 3 888540112 +234 412 2 892336322 +49 287 4 888068842 +149 328 2 883512689 +343 318 5 876406707 +435 393 2 884133610 +458 654 5 886397771 +403 515 4 879785867 +207 1331 3 877995673 +782 250 4 891499440 +91 22 5 891439208 +539 286 4 879787771 +746 184 4 885075267 +628 288 5 880777096 +503 423 5 880472321 +676 13 1 892686319 +479 604 3 879461084 +492 654 4 879969323 +290 49 3 880475542 +453 410 4 877552951 +478 40 1 889398198 +31 811 4 881548053 +13 205 2 881515193 +592 589 5 882955825 +254 172 5 886472051 +297 42 3 875238853 +679 73 4 884488036 +653 105 3 890181185 +650 403 3 891381709 +747 87 5 888640222 +264 23 5 886122577 +593 26 4 875660886 +268 200 4 875309459 +357 126 5 878951537 +720 345 2 891262762 +479 264 3 879459791 +145 329 4 888397542 +509 301 2 883591043 +250 418 5 878090199 +39 307 2 891400342 +682 1028 3 888523657 +747 467 4 888639222 +561 719 1 885810785 +234 226 2 892335673 +536 96 4 882359988 +474 89 5 887924425 +648 1176 1 884628278 +697 628 4 882622016 +682 806 3 888523658 +726 274 4 889831222 +739 100 5 886825383 +500 1385 4 883865290 +621 125 4 880739654 +660 515 2 891199391 +139 1233 5 879537844 +549 411 3 881672667 +715 447 3 875963452 +486 20 3 879875069 +749 521 4 878847765 +789 1012 4 880332169 +334 255 3 891544840 +625 190 3 892000576 +743 100 5 881277962 +671 510 3 884035892 +405 384 3 885547605 +717 286 3 884641644 +201 581 3 884140788 +727 1411 2 883713419 +710 197 4 882064200 +279 230 4 892865054 +786 177 4 882843646 +388 323 4 886442062 +465 154 2 883532119 +666 96 3 880568270 +708 690 4 892718919 +299 194 3 877881229 +393 111 3 887745293 +749 222 3 878847716 +186 477 4 891719775 +1 137 5 875071541 +715 83 4 875963792 +211 199 5 879459952 +706 333 1 880996945 +85 478 4 879454951 +234 605 3 892333798 +621 539 1 883799884 +409 1369 4 881106287 +782 1600 3 891500066 +545 563 3 879900011 +716 238 4 879797286 +406 158 2 880132115 +741 5 3 891455671 +707 1107 3 886288239 +757 248 4 888444209 +435 541 4 884134187 +579 514 3 880952165 +498 449 3 881961932 +320 572 3 884751316 +399 239 3 882344553 +642 395 5 885604187 +710 99 4 882064434 +646 310 3 888528483 +606 117 4 878143605 +109 679 3 880578093 +548 882 4 891043442 +514 31 4 886190665 +559 385 4 891035111 +409 303 4 881104727 +334 164 3 891548104 +539 239 3 879788572 +758 303 4 880672321 +643 233 4 891449249 +672 1061 4 879789566 +561 523 4 885809269 +393 405 4 887744626 +504 1050 4 887832433 +178 156 2 882826395 +307 99 4 879283449 +122 1119 3 879270769 +669 276 2 892550259 +772 898 3 889028941 +749 944 4 878849482 +786 633 4 882843237 +11 526 3 891904859 +682 520 4 888519725 +640 151 4 886474515 +500 50 3 883864992 +790 380 4 885157419 +715 159 3 875964330 +456 180 4 881373084 +790 1074 3 885158235 +528 109 4 886812980 +466 11 3 890284707 +618 404 5 891309192 +697 124 5 882622505 +504 399 4 887840882 +659 647 3 891384823 +311 967 3 884364764 +164 751 4 889401263 +435 83 4 884131434 +323 222 3 878739251 +787 310 5 888979007 +542 208 4 886532881 +539 640 2 879788101 +31 1020 3 881548030 +128 88 4 879969390 +581 1375 5 879641787 +693 684 3 875483435 +712 1091 3 874956543 +298 504 3 884127249 +630 288 4 885666102 +771 258 5 880659323 +420 750 4 891356790 +643 482 4 891447063 +495 95 3 888634315 +561 97 3 885809312 +244 9 5 880604179 +234 806 2 892334766 +747 1194 5 888639102 +207 56 4 875503973 +6 527 4 883600877 +747 211 5 888639014 +532 24 5 892867296 +128 433 4 879967225 +690 90 1 881179469 +23 694 4 884550049 +222 226 3 878185044 +352 98 5 884290428 +782 1023 3 891499611 +407 286 4 890687500 +766 90 1 891310313 +695 313 2 888805836 +527 671 5 879455873 +327 732 1 887819316 +537 262 5 886028446 +622 184 5 882592103 +417 809 3 880951251 +670 174 4 877975344 +786 230 4 882844295 +499 301 4 882995808 +650 452 2 891370155 +303 5 2 879484534 +606 507 4 880923689 +171 269 4 891034835 +655 1192 4 887650851 +188 153 5 875075062 +716 95 4 879794775 +770 875 4 875971612 +6 519 5 883601365 +782 322 4 891498381 +122 1168 4 879270902 +749 837 5 878848587 +751 1011 4 889132599 +694 491 3 875731050 +773 91 4 888539232 +398 205 5 875660535 +577 665 4 880475644 +546 447 3 885141360 +701 750 5 891446588 +639 371 1 891240495 +94 1058 4 891722609 +655 1211 4 887427681 +783 288 3 884326274 +6 491 4 883602174 +766 98 3 891309522 +654 117 4 887864350 +733 293 4 879535559 +455 95 4 879111057 +540 281 3 882157011 +406 499 5 884630973 +454 659 2 888267028 +314 546 4 877886788 +393 544 3 887745135 +659 313 5 891331825 +551 198 5 892778035 +450 292 5 882215922 +524 211 5 884635136 +455 307 4 892230486 +391 22 4 877398951 +773 639 4 888538931 +680 169 5 876816162 +145 135 5 885557731 +268 627 3 875310603 +92 58 4 875653836 +297 27 1 875239535 +660 890 1 891198996 +537 1267 3 886032123 +92 282 4 876769303 +749 159 4 878849956 +378 468 5 880055396 +286 1119 3 877534054 +90 1196 4 891383599 +655 202 2 887651114 +593 173 5 877728878 +508 96 2 883768886 +314 15 5 877886483 +748 8 4 879455126 +420 513 5 891356864 +474 179 5 887924424 +705 2 3 883428058 +682 465 3 888523054 +648 502 5 884881679 +741 31 3 891455516 +145 1009 2 875270764 +777 357 5 875980235 +332 118 5 887938330 +648 49 2 884881679 +580 455 4 884125492 +495 433 4 888634315 +603 62 2 891955972 +708 873 5 892718965 +500 8 4 883874621 +493 201 5 884131089 +5 386 2 875636230 +682 1048 3 888521564 +600 177 5 888451583 +768 278 2 883835210 +661 498 5 876017801 +755 875 1 882570023 +409 504 2 881106682 +313 385 4 891015296 +574 333 3 891279285 +783 334 3 884326461 +198 4 3 884209536 +476 738 3 883364812 +385 654 5 879442085 +146 245 5 891458080 +690 226 3 881179969 +785 195 4 879438984 +474 436 3 887926873 +484 275 3 891195973 +610 735 3 888703360 +548 581 4 891044596 +561 198 3 885808986 +645 70 4 892055325 +665 866 3 884290676 +256 1042 5 882164927 +621 24 4 880737433 +715 627 3 875964614 +541 168 4 883865555 +694 1203 4 875729489 +363 1014 1 891499760 +454 293 4 881959238 +467 919 2 879532535 +541 259 1 884046888 +484 24 1 881449826 +535 628 4 879618246 +523 663 5 883701962 +151 473 4 879524974 +697 222 4 882622016 +504 392 5 887908645 +642 125 4 885603586 +653 492 4 880149999 +442 11 4 883390284 +655 518 2 888813186 +345 204 4 884991925 +90 676 2 891384066 +622 214 4 882670228 +658 429 4 875147800 +757 50 4 888444056 +625 250 4 891273750 +716 414 4 879797152 +422 475 4 875129881 +472 173 5 875982641 +234 11 2 892079140 +551 150 3 892782807 +74 302 4 888333219 +535 558 5 879618385 +305 408 5 886323189 +53 151 4 879443011 +655 684 3 887473965 +634 985 4 877017790 +543 550 2 877547005 +343 9 5 876402738 +724 346 1 883757703 +727 203 5 883710236 +502 259 3 883702448 +265 111 2 875320371 +305 1074 2 886324330 +537 724 3 886031886 +328 433 2 885047670 +751 736 5 889134533 +778 7 4 890725886 +399 697 2 882345454 +542 789 3 886532909 +642 731 5 885605909 +747 500 4 888640222 +703 147 3 875243049 +707 778 3 886287160 +782 938 3 891498030 +661 69 4 876013492 +747 1660 2 888640731 +109 317 2 880573085 +374 68 1 880396622 +663 96 5 889493628 +751 480 4 889133129 +630 620 4 885667661 +601 107 4 876347113 +654 81 2 887864831 +116 272 3 886309505 +514 294 3 885180929 +184 428 4 889909551 +714 237 3 892776261 +776 234 5 892920290 +749 145 4 878849433 +372 436 5 876869445 +217 96 4 889069741 +616 347 4 891224677 +347 686 5 881654101 +133 316 4 890588928 +152 739 5 882475924 +653 480 4 880150239 +650 523 3 891382066 +467 475 4 879532460 +715 92 3 875963899 +711 65 4 879992968 +440 310 3 891546631 +313 519 5 891013436 +621 825 3 880738142 +653 523 4 878854284 +316 286 5 880853038 +417 1288 1 879646741 +81 288 3 876533229 +592 122 4 882608960 +671 54 3 884035173 +384 327 4 891273761 +789 127 5 880332039 +650 172 4 891369442 +264 789 4 886122644 +660 243 2 891197757 +763 286 4 878914901 +128 161 5 879968896 +770 508 5 875972322 +637 1051 2 882905388 +291 820 4 875087125 +94 32 5 891721851 +328 744 4 885046878 +731 507 3 886184771 +407 214 4 875042466 +67 412 1 875379540 +609 890 1 886895914 +508 191 5 883767383 +751 419 4 889134533 +600 449 4 888452564 +69 1016 3 882072956 +244 109 4 880604798 +703 257 5 875242990 +711 404 3 879993579 +17 7 4 885272487 +279 728 4 875314287 +303 241 4 879483301 +498 554 3 881962385 +749 550 4 878850212 +642 722 3 885606113 +417 574 2 879649428 +428 1024 4 885943651 +646 315 4 888528483 +305 89 3 886322719 +398 510 4 875658715 +788 480 3 880868473 +553 100 5 879948869 +727 801 2 883713194 +707 694 4 886286246 +399 291 3 882510126 +561 550 1 885810117 +379 414 5 880740415 +659 448 4 891385438 +668 210 5 881605849 +95 692 4 879198482 +152 423 5 882899511 +752 313 3 891207791 +21 800 1 874951727 +429 480 4 882386071 +18 737 3 880132055 +270 815 4 876954522 +400 690 3 885676365 +299 7 3 877877847 +760 723 2 875669011 +630 118 4 885666875 +397 853 4 885350045 +378 135 2 880046362 +655 800 2 887430197 +634 840 2 875729794 +222 585 3 881060062 +116 50 3 876452443 +454 55 2 888267617 +749 105 1 878849508 +234 1330 3 892078343 +592 1017 4 882608279 +3 319 2 889237026 +595 9 4 886922069 +25 183 4 885852008 +720 315 4 891262608 +445 752 1 891199167 +488 493 3 891294297 +774 527 1 888556698 +622 294 3 882589830 +87 472 4 879875996 +254 126 3 887347350 +23 526 3 874787116 +574 347 3 891278860 +711 1117 4 883589726 +165 318 5 879525961 +660 195 4 891406212 +608 319 4 880402983 +548 642 4 891044538 +648 816 1 884883724 +62 81 4 879375323 +567 479 5 882425997 +201 685 3 884112352 +13 50 5 882140001 +684 401 3 878762302 +451 329 4 879012721 +258 286 5 885700778 +794 242 5 891034156 +758 192 4 882053053 +420 14 5 891356927 +561 380 2 885809524 +280 226 3 891701998 +433 323 1 880585530 +181 875 3 878961623 +416 592 3 892441347 +750 294 4 879445961 +528 77 3 886101428 +648 66 5 882213535 +363 38 3 891498407 +629 22 5 880116818 +22 688 1 878886307 +149 268 4 883512715 +437 692 4 880143115 +507 269 2 889964121 +442 234 4 883389983 +733 1173 2 879535814 +241 300 4 887249685 +505 307 4 889332705 +593 50 4 875660009 +784 307 4 891387623 +504 291 4 887832043 +450 422 3 882467991 +574 332 3 891279410 +695 260 4 888806150 +276 225 3 874786854 +58 1063 1 884304728 +664 286 4 876523092 +497 603 3 879361802 +543 118 3 874862036 +776 485 2 891628656 +635 255 4 878879213 +448 345 5 891887440 +774 89 2 888557198 +297 111 3 874955085 +69 302 4 882027109 +439 301 3 882892424 +711 215 3 879994555 +749 238 3 878847863 +721 393 5 877138200 +43 121 4 883955907 +663 762 4 889492473 +279 1480 3 875314370 +407 1090 2 876348799 +329 651 4 891656639 +592 657 4 882956011 +303 1509 1 879544435 +627 797 4 879531504 +593 357 5 875661486 +664 504 4 876526518 +530 487 4 883784557 +109 367 3 880578121 +474 1134 3 887915306 +758 95 3 881977057 +747 496 5 888640136 +693 419 2 875484501 +393 472 3 887745199 +22 712 4 878887186 +389 731 3 880089152 +498 693 3 881957625 +497 849 2 879310913 +727 312 3 883708435 +664 427 4 876524053 +71 744 4 877319294 +145 394 1 888398833 +758 197 3 881975687 +711 744 4 876185896 +499 520 3 885599572 +537 99 2 886031375 +402 204 5 876267206 +559 194 3 891035781 +90 1039 5 891383599 +666 662 3 880568094 +463 1067 2 877385531 +749 86 4 878848369 +607 511 5 883879556 +707 1007 4 880060180 +669 324 3 891517159 +695 1024 5 888805913 +342 844 3 874984789 +542 1061 2 886533275 +650 216 4 891381546 +174 386 1 886515130 +145 731 3 875272833 +474 475 4 887915479 +497 423 3 879363586 +68 763 1 876973917 +767 207 5 891462759 +698 194 4 886366454 +627 562 2 879531504 +323 294 3 878738827 +601 427 4 876348736 +652 395 3 882567383 +499 484 4 885599013 +611 269 4 891636072 +567 1451 3 882426952 +738 405 2 875349968 +420 86 5 891357021 +49 320 5 888067334 +136 15 4 882693723 +13 406 1 882397011 +720 1062 5 891262812 +533 230 4 879191563 +401 127 1 891032170 +613 509 4 891227236 +565 83 5 891037628 +768 340 2 879523820 +697 268 5 882621548 +456 1059 4 881372052 +239 42 5 889180578 +488 164 3 891293911 +521 96 4 884477853 +395 252 3 883765897 +445 591 2 891200020 +748 174 5 879454405 +570 305 5 881262256 +442 746 3 883388354 +758 81 5 881975815 +463 93 4 877385457 +629 199 5 880117772 +676 300 4 892685403 +551 708 1 892783830 +503 732 3 880383467 +239 482 3 889180978 +166 313 5 886397478 +372 875 4 876869183 +13 473 4 882398724 +536 566 5 882360264 +500 202 4 883874239 +253 1 5 891628467 +405 64 5 885544739 +624 270 3 891961120 +453 181 5 877552612 +794 887 4 891034284 +437 82 3 880140192 +159 829 4 880557741 +452 135 3 875560790 +280 471 3 891700553 +95 1047 3 879193881 +413 258 4 879968794 +620 928 5 889987825 +729 333 4 893286638 +297 90 4 875239942 +655 417 2 888771346 +380 582 4 885478583 +690 716 1 881179469 +551 204 4 892777673 +711 1118 4 879994633 +758 427 4 881974742 +56 22 5 892676376 +532 77 5 892519935 +532 676 5 892521554 +62 71 4 879374661 +305 528 4 886323378 +608 333 4 880402983 +569 19 5 879794127 +747 316 4 888638552 +439 100 3 882892705 +538 181 3 877107700 +780 662 5 891363756 +456 864 4 881371660 +147 301 5 885594204 +13 348 2 886952246 +379 163 4 880740495 +756 642 2 874829924 +738 357 4 875353869 +758 155 1 882054226 +501 591 4 883348138 +157 118 2 886890439 +682 252 3 888518773 +648 550 4 884882802 +676 257 5 892686220 +676 288 1 892685437 +542 427 5 886532294 +615 237 4 879448843 +588 566 2 890023557 +181 1047 2 878962866 +630 100 3 885666592 +697 1 5 882622481 +724 245 2 883757874 +514 64 4 875462645 +343 159 2 876405893 +721 655 2 877140490 +344 562 2 886381985 +649 291 5 891440330 +697 818 4 882622228 +459 568 3 879564941 +514 425 5 875318291 +246 809 2 884923767 +327 186 2 887744064 +606 195 5 880926162 +578 355 1 888957758 +437 842 4 880143451 +521 732 3 884478135 +787 899 3 888979074 +764 143 5 876245331 +444 245 4 891979402 +451 305 3 879012647 +6 317 3 883602174 +778 1273 3 890726925 +354 737 4 891307206 +472 82 5 892791017 +735 744 3 876698714 +541 755 5 883874716 +461 242 3 885355735 +207 204 3 875506737 +704 131 5 891398726 +345 274 3 884991267 +781 483 5 879633942 +737 12 4 884314922 +225 606 5 879540649 +654 54 3 887864941 +524 1553 3 884635136 +533 297 4 893160944 +653 819 3 880149751 +234 1446 3 892335739 +758 172 4 881974880 +660 22 4 891199262 +533 134 4 879439379 +534 15 4 877807873 +548 1244 4 891043953 +542 418 4 886533562 +456 506 4 881374332 +655 190 3 887427338 +94 42 4 885870577 +731 95 3 886183978 +666 13 4 880313542 +445 181 2 891199945 +195 234 5 875771441 +771 28 5 880659392 +711 716 5 879995215 +687 340 4 884651894 +450 869 4 882470064 +786 471 4 882842311 +741 70 4 891456573 +85 231 2 882995615 +457 9 5 882393485 +458 23 4 886397931 +707 211 3 886287051 +541 1084 4 883864569 +774 294 1 888555792 +591 357 5 891031228 +699 933 3 878882226 +788 754 4 880867477 +472 1034 3 875979359 +538 234 3 877108077 +627 810 3 879531459 +747 648 5 888734012 +339 124 4 891032885 +42 294 4 881105296 +402 13 3 876266701 +416 1020 5 893212483 +705 241 4 883428128 +779 257 4 875993201 +796 1074 1 893047691 +462 100 4 886365387 +774 229 2 888557329 +644 261 4 889076502 +690 663 4 881177376 +311 54 4 884366439 +595 109 2 886921365 +59 277 4 888203234 +543 720 2 877546306 +597 250 4 875340939 +543 656 4 875665787 +10 582 4 877892276 +767 98 5 891462560 +452 181 4 886151027 +727 204 3 883710395 +437 77 4 880143040 +407 228 4 875046799 +470 257 4 879178568 +727 195 4 883710375 +452 124 5 885816768 +773 559 2 888540314 +632 275 3 879457582 +256 471 5 882150644 +210 105 3 891036331 +648 559 2 884883578 +761 214 1 876190510 +484 136 5 891194766 +721 70 3 877145403 +602 257 4 888638618 +416 873 5 893213645 +414 343 2 884999193 +291 200 4 874867740 +406 561 3 879792974 +13 897 1 886952422 +755 689 3 882570077 +648 519 4 884628482 +60 615 5 883326215 +693 488 4 875484539 +756 1119 4 874828349 +655 345 3 887473803 +533 176 1 879191332 +85 845 3 879828456 +774 403 2 888556814 +763 238 4 878915559 +795 172 3 880570209 +130 808 5 878537631 +237 656 4 879376730 +794 118 2 891035413 +642 845 5 891318088 +619 174 4 885953992 +660 215 3 891199082 +417 447 3 879649064 +555 150 4 879963127 +622 679 3 882671483 +53 25 4 879442538 +788 185 4 880868316 +756 234 3 874829924 +313 47 3 891015268 +569 286 5 879792991 +178 1197 4 882824055 +224 70 2 888103812 +592 259 2 882607573 +790 154 4 885156290 +224 715 1 888104487 +604 637 4 883668261 +679 132 4 884487374 +496 109 3 876064357 +332 79 5 888098088 +128 392 3 879967102 +157 276 4 886889876 +144 474 4 888105311 +694 174 5 875727061 +153 79 5 881371198 +393 7 4 887744419 +640 134 5 874777623 +795 117 4 880558122 +648 510 5 884796728 +130 236 5 876251160 +756 753 2 874832788 +667 137 3 891035206 +567 194 3 882425874 +622 86 4 882670587 +547 315 4 891282555 +587 886 2 892871171 +517 823 2 892659923 +759 332 4 881476516 +537 221 3 886029841 +754 619 4 879451517 +672 225 2 879789437 +619 183 5 885953992 +371 194 3 877486953 +588 421 5 890023830 +600 684 4 888451582 +417 223 5 879646986 +641 865 5 879370149 +758 889 3 889038958 +232 582 5 888549595 +694 131 5 875727715 +271 302 5 885844430 +450 476 4 882469306 +363 187 2 891494725 +545 373 3 879899523 +721 294 3 877137447 +780 491 4 891363651 +222 1045 3 881060412 +694 226 3 875729271 +793 276 3 875103971 +721 215 4 877141373 +709 636 3 879848645 +622 28 3 882592314 +648 231 2 884882987 +518 544 3 876823324 +771 242 4 880659235 +506 746 5 874875062 +638 227 2 876695259 +434 975 5 886724873 +592 763 5 882608531 +405 715 1 885546445 +758 324 5 880672230 +709 174 5 879848396 +532 295 5 884594761 +561 693 3 885808620 +708 50 5 877325186 +782 683 1 891498213 +577 151 4 880470604 +681 288 1 885409810 +727 401 2 883713521 +736 246 4 878708929 +417 1539 2 879649539 +121 197 4 891388286 +417 100 3 879646166 +660 177 2 891200014 +623 79 5 891035112 +782 249 2 891499399 +276 590 2 874977334 +574 270 3 891279121 +718 1165 3 883349598 +711 713 3 879991283 +409 404 2 881109019 +428 1313 4 892572362 +308 382 4 887739521 +664 132 4 878092569 +453 693 5 877561172 +741 651 4 891018507 +637 926 2 882904898 +727 201 4 883710717 +774 673 2 888556545 +201 64 3 884111436 +614 1 5 879464093 +660 898 4 891197561 +746 196 4 885075612 +758 826 3 882054854 +773 37 3 888540352 +293 427 4 888906288 +101 412 2 877136842 +76 270 3 879117602 +486 591 4 879874662 +521 163 3 884478483 +346 669 1 875265690 +697 751 5 882622481 +506 181 5 874874676 +533 13 3 879192475 +774 54 1 888556814 +781 100 5 879634175 +435 562 5 884133819 +690 94 4 881177836 +642 1509 2 885606270 +316 435 2 880854337 +474 792 4 887926573 +495 386 3 888636837 +15 111 4 879455914 +589 682 4 883352494 +158 471 4 880132513 +570 748 3 881262497 +423 924 4 891395602 +380 121 3 885479896 +621 472 3 880738462 +793 1067 4 875103875 +780 202 4 891363783 +721 300 5 877135806 +152 781 5 882476486 +642 1503 2 885602446 +276 1208 3 882659656 +7 4 5 891351772 +364 286 5 875931309 +665 597 3 884290853 +669 749 3 891517159 +731 462 5 886186568 +501 546 4 883348283 +318 4 2 884497516 +741 77 3 891455671 +249 409 4 879640452 +399 5 3 882345001 +711 949 4 879994719 +782 984 2 891498821 +795 367 3 883252202 +218 176 5 881288299 +645 474 5 892053398 +422 275 5 875130026 +542 451 3 886532971 +782 329 3 891498213 +194 89 3 879521328 +506 94 3 874876599 +796 401 3 893219427 +796 184 1 892761544 +521 99 3 885253937 +222 422 2 878183657 +13 832 4 882399156 +533 71 4 889450972 +599 255 5 880951479 +738 195 4 875349628 +747 844 4 888640136 +774 172 3 888557198 +487 356 4 884024462 +637 325 1 882899928 +417 294 4 879646463 +748 228 3 879454687 +432 300 4 889415763 +629 684 5 880117430 +761 546 5 876190468 +705 38 5 883428258 +790 157 2 885156193 +497 163 2 879363181 +749 293 4 878846783 +491 100 5 891186806 +761 148 5 876189829 +721 715 2 877147726 +447 209 4 878856148 +450 443 4 882377861 +403 235 5 879786165 +295 168 5 879517467 +119 410 1 890627339 +676 132 5 892686703 +374 1217 2 880938100 +781 474 5 879633976 +784 678 4 891387895 +655 385 3 887429669 +599 1014 4 880951885 +607 483 4 883879379 +665 143 4 884293475 +546 590 4 885141538 +494 98 4 879541158 +693 118 2 875483597 +747 705 5 888639939 +545 121 5 879899299 +735 333 4 876697647 +642 1014 5 886131547 +705 28 4 883427640 +364 302 4 875931309 +389 186 2 880087435 +321 86 4 879440294 +758 64 5 881974931 +672 25 5 879789056 +746 231 2 885075476 +507 678 5 889966088 +634 1284 3 875729794 +500 234 3 883875638 +698 230 3 886367337 +379 710 4 880961839 +15 934 4 879456507 +7 544 3 891353254 +318 712 4 884496368 +790 1063 5 885156478 +537 433 4 886031634 +595 475 5 886921166 +536 136 4 882359780 +716 131 5 879796311 +655 536 3 887650512 +539 238 3 879788045 +425 385 2 878738813 +749 1047 3 878849740 +345 323 3 884916551 +43 625 4 883956146 +437 709 5 881000931 +87 944 5 879876848 +434 477 5 886724940 +344 169 5 884814457 +246 69 3 884921202 +614 871 2 879465376 +504 628 4 887831678 +622 90 4 882671574 +679 8 2 884486856 +621 810 3 874964657 +493 323 4 884129979 +551 762 5 892784130 +102 431 3 888801407 +372 201 2 876869387 +774 644 4 888556777 +487 282 4 883442105 +642 367 5 885605866 +789 475 5 880332063 +407 427 4 876338966 +749 199 5 878847171 +393 794 4 889730117 +505 174 4 889333340 +13 37 1 882397011 +625 173 3 891953681 +524 238 4 884634755 +660 117 3 891197934 +537 290 2 886030254 +666 855 4 880568270 +749 254 2 881602674 +703 275 4 875242663 +18 221 5 880129816 +404 689 2 883790585 +506 1089 1 889979761 +399 121 3 882341403 +608 480 3 880405165 +606 816 2 880927358 +782 1538 3 891500109 +709 385 4 879848397 +543 1524 4 874866319 +406 218 3 879792863 +604 184 3 883668352 +643 468 4 891449900 +727 549 3 883712219 +653 127 5 878853780 +575 127 2 878148137 +43 539 3 883953716 +625 357 3 891262784 +416 318 5 893213549 +747 474 5 888639526 +766 521 4 891309261 +696 305 4 886403578 +777 100 1 875979380 +325 182 3 891478835 +747 152 3 888640222 +655 81 3 887427371 +560 277 3 879976731 +296 256 5 884196741 +551 1139 4 892785263 +129 304 3 883244707 +476 67 4 883365218 +373 389 3 877099352 +684 1283 3 875811708 +563 862 1 880507672 +474 356 5 887928793 +653 756 1 878854996 +6 489 5 883601011 +742 321 3 881005611 +698 513 2 886366558 +495 158 3 888637477 +551 1443 5 892784942 +533 514 3 879190670 +406 478 4 879445378 +696 344 5 886403672 +307 228 5 879538921 +312 23 4 891698613 +373 50 5 877098678 +758 607 5 881976032 +735 276 4 876698796 +167 99 4 892738385 +734 751 4 891021937 +592 522 5 882955662 +764 71 5 876429672 +660 186 3 891199781 +766 202 3 891310281 +181 1350 1 878962120 +85 531 4 879454112 +303 569 3 879484159 +60 445 5 883326273 +747 939 3 888639362 +87 410 4 879876565 +643 209 5 891446652 +548 283 3 891415572 +586 841 3 884063854 +450 832 2 882468307 +655 306 3 887424883 +308 122 4 887742165 +559 257 3 891035466 +456 1222 2 881375019 +716 1203 2 879795239 +724 680 1 883758119 +474 23 4 887925620 +542 186 4 886532909 +54 346 4 890608303 +25 604 4 885852008 +650 495 3 891372316 +423 245 4 891394952 +693 1311 1 875482939 +796 418 4 893218933 +592 234 5 882955863 +654 473 2 887863933 +751 88 4 889298660 +374 742 5 880393331 +506 161 4 885135881 +200 596 4 876042584 +707 293 4 880059810 +361 705 5 879441416 +301 420 3 882077285 +537 466 4 886031149 +495 181 5 888632180 +557 300 4 881095916 +654 660 5 887864532 +650 496 4 891369707 +664 149 3 876525315 +741 1074 2 891457395 +425 538 2 890346866 +508 511 4 883767246 +540 111 4 882157148 +557 198 5 881179513 +608 44 4 880406469 +451 359 2 879012721 +655 1069 1 887473535 +758 684 4 881977872 +774 1028 2 888558829 +206 1432 1 888180082 +562 181 3 879195125 +363 282 2 891495596 +535 196 4 879617894 +407 215 3 875045658 +554 819 3 876231688 +470 13 4 879178518 +23 713 4 874784337 +429 191 5 882385065 +192 125 3 881367849 +642 451 5 885605794 +342 212 5 875319992 +425 121 4 878738813 +758 24 4 881979891 +391 174 5 877399301 +606 48 4 880924483 +417 260 3 879649779 +742 117 2 881335528 +714 472 2 892777730 +379 636 3 880525502 +42 284 3 881105581 +655 708 3 887427307 +704 654 5 891397667 +171 310 4 891034835 +330 385 5 876546378 +721 881 3 877137359 +181 981 1 878962279 +535 482 4 879619107 +703 258 4 875242076 +20 274 4 879668248 +178 333 3 884836479 +686 651 5 879545413 +798 94 3 875914939 +417 413 3 879646327 +683 303 3 893283104 +216 735 5 880244758 +479 1444 1 879462121 +442 219 3 883390009 +405 675 1 885548275 +476 26 4 883364475 +592 925 3 882608915 +798 1 4 875295695 +172 463 4 875537502 +518 280 4 876824218 +645 28 4 892053310 +733 279 2 879535968 +222 742 5 877563597 +749 578 3 878850429 +609 1012 1 886896237 +367 800 4 876690049 +643 200 3 891448265 +525 1047 2 881086274 +796 229 3 893048471 +398 186 4 875733496 +660 208 4 891199201 +405 921 1 885549634 +535 9 5 879617779 +527 647 5 879455654 +616 322 4 891224840 +358 1266 4 891269944 +704 662 3 891397819 +786 404 4 882843500 +788 229 3 880870299 +788 51 4 880870018 +750 306 4 879445877 +664 175 4 876524699 +276 928 3 874836629 +346 97 4 874948929 +617 1073 3 883789105 +655 1368 5 888474285 +601 504 4 876350300 +279 28 2 875296461 +456 380 3 881375097 +196 153 5 881251820 +777 1 4 875979431 +614 841 2 879465398 +561 195 3 885808963 +328 133 5 885047018 +406 447 4 879792897 +749 172 5 878847239 +608 100 4 880403280 +143 294 3 888407708 +637 333 3 882900888 +230 371 4 880485330 +633 177 3 875325654 +682 1410 3 888517324 +707 730 3 886286742 +745 174 3 880123179 +536 713 4 882318741 +774 563 1 888557883 +536 498 5 882359906 +479 455 4 889125853 +94 4 4 891721168 +796 679 4 893048471 +276 185 4 874792663 +18 111 3 880131631 +394 386 3 881058897 +655 87 3 887476943 +610 95 2 888703316 +733 19 5 879535338 +350 132 5 882346929 +637 1 4 882902924 +542 122 3 886533253 +95 97 4 879198652 +758 689 1 881295176 +707 162 5 886285968 +715 475 4 875962049 +454 423 4 881959607 +177 216 4 880130653 +94 692 4 891722249 +798 998 3 875915317 +450 226 4 882474001 +326 194 4 879874825 +30 161 4 875060883 +222 402 4 878185044 +643 521 4 891448586 +10 701 4 877888812 +796 87 5 893218728 +764 321 1 876233034 +566 1437 2 881651434 +586 385 3 884058956 +758 752 3 887086705 +551 924 5 892783451 +708 21 1 877325316 +436 710 4 887769281 +757 743 2 888445172 +665 79 3 884293831 +110 366 3 886988341 +125 482 1 892836309 +731 194 3 886183681 +747 156 3 888639362 +645 433 4 892054906 +198 127 5 884204919 +288 1065 4 886373474 +181 1365 1 878963086 +402 237 4 876266948 +648 254 3 884367248 +405 42 1 885547313 +533 228 4 879191332 +683 316 4 893286208 +168 300 5 884287011 +671 1215 3 884036365 +234 279 3 892333980 +454 185 2 881960265 +458 514 5 886397504 +486 332 3 879874187 +29 326 2 882820869 +551 774 5 892783314 +640 1228 4 889235993 +645 963 4 892053241 +643 418 4 891447518 +671 559 4 884338399 +684 692 4 878576614 +625 154 3 891998289 +363 235 5 891497130 +48 357 5 879434653 +462 330 3 886365803 +716 392 2 879796895 +782 1390 3 891500028 +713 307 3 888882311 +543 1014 4 875655073 +184 7 3 889907738 +234 97 2 892334267 +655 324 3 890103072 +303 790 4 879485507 +314 433 3 877887642 +55 50 4 878176005 +747 1203 5 888639685 +682 259 3 888518424 +149 300 3 883512715 +724 1617 1 883757703 +791 289 4 879448087 +250 175 5 878090004 +760 216 2 875667366 +660 145 2 891202022 +788 235 3 880871328 +766 648 3 891309913 +160 237 3 876768609 +728 678 4 879442794 +655 249 3 887474630 +164 472 5 889402071 +588 724 2 890015648 +676 318 5 892686459 +802 135 4 875985347 +650 434 4 891382218 +650 627 2 891387520 +507 319 3 889964074 +629 258 4 880116722 +524 550 3 884636958 +733 7 3 879535603 +70 101 3 884150753 +665 319 4 884289897 +642 542 5 885606609 +308 285 5 887736622 +180 939 4 877355472 +642 143 5 885603018 +727 790 2 883711616 +468 42 4 875294549 +663 357 5 889493732 +342 276 3 874984531 +735 690 4 876697561 +593 631 3 886194296 +496 268 4 876063784 +195 582 4 883822804 +209 813 5 883417810 +563 781 4 880507582 +486 117 3 879874939 +630 276 1 885667108 +795 1036 2 883255578 +514 229 3 875463525 +25 98 5 885853415 +382 357 4 875947149 +49 432 5 888066979 +290 651 3 880474034 +758 391 3 881980386 +292 96 4 881103568 +709 96 5 879848397 +451 938 4 879012772 +93 121 3 888705053 +642 138 4 886570173 +551 448 4 892783242 +222 476 3 877563739 +608 448 5 880406593 +771 222 2 880659709 +503 432 5 880472102 +524 321 3 884321179 +148 8 4 877020297 +296 19 5 884196524 +758 163 5 881976089 +606 151 5 878148493 +389 671 5 880087516 +663 1324 3 889492473 +755 690 5 882569574 +798 988 3 875295469 +746 566 4 885075367 +560 318 4 879975406 +788 692 3 880869106 +647 255 4 876534131 +664 45 4 878090415 +733 121 3 879536723 +399 450 2 882350791 +343 197 4 876404836 +664 684 4 876526580 +435 331 5 884130671 +298 193 5 884182867 +714 289 3 892778092 +457 7 4 882393278 +504 357 4 887832705 +308 99 4 887738057 +787 361 3 888979075 +758 373 4 882055347 +275 470 3 880314772 +695 995 4 888806150 +696 315 5 886403578 +795 636 3 883253661 +223 820 4 891550371 +271 499 3 885848971 +785 209 3 879439043 +798 1119 3 875916421 +582 15 3 882961481 +506 676 1 874945513 +367 184 5 876689990 +236 133 5 890116059 +350 654 5 882345918 +279 948 3 891209078 +716 186 3 879795867 +292 631 5 881105778 +798 164 4 875303502 +623 227 4 891034528 +303 1052 2 879544365 +497 1177 1 879363111 +694 617 4 875728181 +679 69 4 884487688 +731 504 3 886183209 +622 94 2 882671694 +442 209 4 883388283 +450 939 4 882376803 +82 197 4 878769847 +800 742 4 887646477 +767 187 4 891462658 +664 480 5 878091393 +561 656 4 885807455 +499 12 5 885599040 +804 11 4 879442954 +411 230 3 891035362 +682 240 4 888521637 +22 384 3 878887413 +506 755 4 874876486 +751 1661 1 889299429 +650 1031 3 891369480 +595 1023 1 886921977 +76 70 4 875027981 +152 155 5 884018390 +424 50 3 880859519 +458 546 3 886394863 +538 210 3 877106665 +480 863 4 891208356 +705 373 3 883428237 +748 678 2 879454233 +294 181 5 877819532 +328 798 2 885048159 +13 758 1 882397084 +747 3 2 888733567 +688 326 5 884153606 +644 127 4 889076775 +731 153 3 886182555 +72 553 5 880036638 +125 269 1 879454002 +432 276 4 889415947 +675 650 5 889489971 +493 288 4 884129823 +2 237 4 888552017 +640 568 4 874778569 +435 100 3 884131711 +727 271 4 883708149 +705 568 5 883428058 +70 222 4 884064269 +354 865 3 891217109 +429 92 4 882385684 +501 685 3 883347774 +655 1099 3 887428965 +711 40 4 879994875 +253 192 1 891628884 +756 92 3 874828027 +84 466 4 883453148 +655 750 2 887472879 +668 311 4 881591023 +174 125 5 886514069 +693 650 3 875482364 +280 58 4 891700514 +798 274 5 875295772 +303 875 4 879466291 +548 3 1 891415967 +579 333 4 880951372 +727 765 2 883712780 +803 286 5 880054592 +92 47 4 875654732 +287 952 4 875334036 +682 687 2 888518871 +234 625 3 892336286 +189 61 3 893265826 +18 269 5 880129305 +665 181 4 884291936 +532 269 4 891288537 +487 258 5 883440613 +186 258 1 879720880 +796 1042 4 893194740 +802 294 4 875984637 +275 450 3 876198296 +697 689 4 882621714 +101 151 3 877136628 +395 50 5 883763009 +754 476 4 879451742 +345 220 3 884991457 +378 43 3 880056609 +416 159 1 886317412 +593 723 4 875671890 +648 172 5 884367538 +118 672 4 875385257 +119 354 5 890626231 +145 219 5 877343185 +201 1423 3 884140853 +180 785 4 877128388 +637 323 1 882899182 +721 989 3 877137527 +796 159 3 893194685 +6 257 2 883599478 +655 165 3 887650512 +654 276 1 887863866 +788 70 4 880869908 +593 761 2 875671951 +533 66 4 879439204 +670 232 3 877975448 +216 56 5 880233608 +536 480 5 882359370 +476 239 4 883364475 +336 26 5 877757877 +557 750 4 884357373 +405 231 3 885548094 +638 679 3 876695259 +467 10 4 879532496 +308 1515 4 887738346 +454 260 1 888000454 +551 739 4 892784710 +580 687 3 884124583 +194 488 3 879521475 +130 185 5 875217033 +437 30 4 880140855 +796 540 2 893048672 +633 405 4 875325654 +610 419 5 888703241 +501 24 3 883348519 +18 208 4 880131004 +675 347 4 889488431 +773 188 3 888540091 +92 974 2 886443626 +780 199 5 891363723 +757 4 5 888466461 +248 156 5 884534945 +505 31 4 889334067 +486 1302 3 879874515 +151 178 5 879524586 +537 678 1 886029181 +623 222 4 891034110 +472 2 5 892790676 +680 815 3 877075312 +475 902 5 891451402 +588 778 3 890027600 +551 72 5 892783972 +514 194 4 875463525 +582 411 1 882962652 +524 32 4 884634679 +628 333 5 880777096 +764 31 4 876246687 +536 493 4 882359333 +733 298 2 879535502 +278 515 5 891295330 +484 82 4 891195444 +780 98 1 891364027 +181 259 1 878961668 +712 842 3 874957160 +537 20 3 886029974 +233 511 5 876021120 +709 230 2 879848551 +294 324 4 877818729 +443 309 5 883504866 +122 1045 4 879270605 +780 467 3 891363904 +786 449 2 882844096 +83 31 5 880307751 +642 174 5 885842594 +381 742 4 892697677 +666 517 4 880139563 +740 322 3 879522839 +7 513 4 891351772 +719 778 3 883982002 +788 205 4 880868068 +643 205 5 891447222 +733 248 3 879535752 +387 919 5 886479575 +758 286 5 880672230 +360 321 3 880354094 +430 19 5 877225623 +405 728 4 885547690 +738 56 4 875350418 +301 249 3 882074801 +666 82 3 880314194 +592 312 2 882607780 +568 656 3 877907281 +519 313 5 883248134 +586 173 3 884059287 +727 747 2 883712519 +622 833 4 882590955 +629 467 5 880117565 +56 732 4 892677147 +615 855 4 879448088 +766 510 3 891310038 +759 300 5 875227686 +548 326 4 891043278 +296 297 4 884196665 +766 135 4 891309053 +796 527 3 892675654 +754 742 3 879451991 +327 44 3 887745840 +450 608 4 882373088 +796 154 3 892676155 +143 315 4 888407542 +374 228 5 880395973 +106 191 5 881451453 +608 28 4 880405484 +775 348 3 891032804 +495 472 5 888635144 +802 286 2 875984532 +655 257 3 887474020 +378 747 3 880055597 +689 7 5 876676334 +253 1039 4 891628199 +610 28 4 888703258 +244 1118 4 880608087 +804 546 3 879443884 +756 554 1 874829152 +638 403 3 876695059 +758 128 4 881977625 +751 652 4 889133951 +407 89 4 875043948 +804 31 4 879442792 +792 111 3 877910126 +537 1103 4 886031407 +425 669 3 878737908 +229 751 3 891632164 +735 813 4 876698570 +717 111 4 884642479 +694 178 4 875727099 +774 127 4 888557198 +504 725 3 887911973 +793 298 4 875103971 +642 1311 3 886569715 +405 29 4 885545639 +151 614 4 879528729 +592 678 2 882607690 +194 282 3 879539614 +251 471 3 886272319 +566 31 3 881650825 +637 338 4 882900888 +371 1 4 877487440 +730 109 4 880310390 +141 696 4 884585498 +385 283 2 879439984 +775 286 4 891032741 +618 70 3 891307495 +92 179 5 875653077 +562 161 3 879196445 +689 250 5 876676334 +663 1276 3 889492679 +295 79 4 879517600 +600 184 3 888451750 +751 85 3 889297767 +619 22 5 885953992 +593 660 5 875671372 +758 69 5 881976233 +684 742 4 875810830 +660 1411 2 891201294 +465 56 4 883531110 +398 498 5 875657734 +500 471 4 883865391 +454 956 2 888266955 +749 15 5 878846841 +54 117 5 880935384 +763 210 3 878915015 +546 53 5 885141502 +642 376 3 885606194 +34 990 5 888602808 +496 421 3 876066229 +487 25 1 883445130 +650 404 3 891369443 +645 4 4 892055347 +614 147 5 879464332 +752 271 5 891208452 +344 98 4 884901180 +526 288 4 885681910 +535 152 4 879618385 +290 1 5 880474327 +303 187 5 879466631 +714 685 4 892777903 +524 447 5 884636182 +636 9 3 891448185 +731 419 4 886183039 +604 127 4 883667946 +535 692 4 879618880 +85 232 3 882995966 +642 216 3 885603083 +735 628 3 876698755 +159 456 3 880557848 +513 323 5 885062636 +560 255 4 879976109 +650 1149 4 891383856 +709 2 4 879848511 +378 582 5 889665232 +299 154 4 878191943 +782 878 3 891498918 +634 315 5 889464384 +600 96 5 888451664 +389 197 5 879991485 +455 393 3 879112152 +592 191 5 882955735 +255 827 2 883216958 +715 87 4 875963024 +798 151 3 875554819 +43 581 3 883956468 +250 123 3 878089837 +675 874 4 889488679 +770 1 5 875972219 +497 552 3 879362155 +777 216 4 875980597 +774 28 3 888556698 +313 143 3 891014925 +437 698 2 880142426 +86 304 3 879570149 +724 304 4 883757703 +487 286 2 883439831 +763 11 4 878918333 +104 847 2 888465263 +727 539 2 883708523 +194 651 3 879520991 +535 1474 4 879618207 +786 86 4 882843006 +434 111 5 886724540 +735 25 4 876698684 +474 88 4 887926106 +741 280 3 891458403 +453 628 3 887942025 +406 284 1 879539987 +712 79 4 874729850 +334 172 3 891548954 +132 286 3 891278680 +671 231 3 884035993 +454 99 3 881960296 +744 628 2 881172357 +682 570 2 888517948 +601 143 3 876351073 +140 304 4 879013747 +777 690 4 875979137 +766 134 5 891308968 +746 546 3 885075434 +774 185 2 888557683 +758 634 5 881975922 +705 191 1 883518871 +151 971 5 879528607 +608 1009 4 880406032 +457 1210 4 882549905 +796 270 4 892611799 +712 660 4 874730234 +745 8 4 880123627 +758 1501 3 881978258 +537 322 1 886029153 +474 193 4 887925497 +738 208 4 875350418 +682 423 5 888519206 +442 576 2 883390703 +374 50 3 880394367 +241 895 2 887250085 +792 595 3 877910305 +747 494 5 888639015 +776 442 2 892920480 +445 330 2 891199274 +466 68 3 890285159 +800 127 4 887646980 +500 217 4 883876053 +718 820 2 883349642 +716 611 5 879795496 +223 339 4 891549212 +180 222 5 877127815 +557 12 5 881179653 +399 1210 2 882348690 +492 528 5 879969878 +593 161 5 875671464 +768 65 4 887305100 +654 283 5 887863471 +709 447 2 879848167 +663 1048 4 889492562 +675 258 3 889488679 +758 656 5 881976032 +605 100 5 879425432 +318 1050 4 884496738 +272 200 5 879455043 +35 327 3 875459017 +305 478 3 886323275 +738 172 4 875349895 +581 269 3 879641348 +630 975 4 885667108 +647 993 4 876534131 +682 167 2 888522101 +651 327 4 880126473 +73 82 2 888625754 +620 946 4 889988036 +406 196 2 879446588 +621 87 5 874965408 +697 283 5 882622146 +452 86 4 875274683 +666 603 4 880567943 +621 894 1 883800011 +629 523 3 880116963 +634 717 4 875729794 +763 375 2 878923513 +766 366 3 891310875 +201 972 3 884140522 +291 212 4 874868027 +463 751 4 889943769 +497 202 4 878760023 +161 316 5 891170275 +676 114 5 892686606 +793 121 3 875104193 +639 111 2 891239613 +551 1135 5 892785331 +527 673 4 879456587 +795 100 5 880555946 +643 99 4 891447485 +716 1050 4 879797303 +699 221 4 878882667 +268 405 2 875742822 +648 17 2 884882078 +396 125 3 884646191 +487 77 3 883530814 +659 649 3 891386307 +782 1658 2 891500230 +515 269 2 887658844 +318 514 2 884496524 +608 357 5 880404916 +405 1021 1 885549543 +774 871 1 888558876 +354 485 4 891217659 +327 95 3 887818596 +661 272 4 893281023 +638 510 3 876694704 +752 310 1 891207791 +663 50 5 889493502 +804 204 4 879441450 +533 125 5 891263021 +532 147 4 888634802 +181 744 2 878962720 +62 210 4 879374640 +749 736 3 878847988 +715 735 4 875964224 +158 188 4 880134332 +497 797 3 879362586 +641 268 4 879369827 +416 755 4 893214333 +188 180 5 875073329 +608 8 2 880405484 +655 632 3 887523224 +720 269 3 891262608 +618 1 4 891308063 +617 313 1 883788511 +193 161 3 889125912 +705 255 5 883427152 +502 243 3 883702945 +59 504 5 888205921 +624 1089 2 879793408 +342 496 4 875319334 +648 169 5 882212651 +484 294 4 878060860 +617 669 1 883789635 +548 245 4 891042624 +753 898 4 891400364 +508 357 5 883767246 +303 665 4 879485475 +727 54 3 883711045 +677 845 3 889399327 +754 819 3 879452116 +772 879 4 877533731 +454 961 1 888267279 +181 1252 1 878962168 +299 239 3 878192601 +276 387 3 874787526 +781 288 2 879633862 +355 1392 4 879485760 +429 63 2 882387505 +600 161 4 888451908 +429 1209 3 882387350 +354 270 5 891216082 +747 327 4 888638425 +559 508 3 891034209 +488 190 5 891376046 +92 1023 2 892655775 +320 825 4 884749550 +234 199 5 892079040 +708 313 5 892718687 +606 939 4 880927247 +796 164 3 893194548 +707 208 5 886285939 +492 482 3 879969720 +339 327 4 891032150 +617 480 4 883789179 +567 47 4 882426696 +193 755 4 889126919 +343 523 5 876404647 +727 294 4 883708087 +584 423 4 885778263 +804 82 5 879442001 +276 254 2 874796373 +76 1153 2 882607017 +685 325 3 879451401 +752 340 4 891208077 +114 168 3 881259927 +416 735 5 893213549 +688 336 2 884153728 +671 597 4 884036365 +523 430 4 883702125 +650 612 4 891369656 +406 115 4 879446108 +500 282 4 883875092 +541 91 5 883874683 +783 346 5 884326424 +429 340 5 882384870 +655 387 3 888984538 +299 512 4 889501995 +573 50 4 885843738 +397 181 4 885349955 +6 127 5 883599134 +779 471 4 875993165 +328 89 5 885046344 +798 719 1 875743196 +621 419 4 874965093 +457 161 4 882397829 +7 655 5 891351384 +98 152 3 880498968 +276 678 3 874786419 +647 257 2 876776321 +521 240 3 884476067 +487 652 5 883530374 +721 877 3 877137285 +331 268 5 877196820 +618 202 2 891307714 +552 1051 3 879222238 +391 458 4 877399864 +672 124 3 879787922 +684 1 4 875810928 +177 302 4 880130379 +796 193 3 892662964 +606 647 3 880924663 +578 343 2 888957735 +710 1039 4 882063736 +406 47 4 880131741 +764 527 4 876339982 +712 692 5 874729995 +503 268 5 884637610 +774 52 3 888556659 +659 195 4 891384152 +425 234 3 878738853 +463 301 5 889936512 +236 117 3 890116818 +96 144 4 884403250 +495 559 4 888635180 +545 29 3 880347984 +702 288 1 885767306 +624 905 4 891961250 +698 421 2 886367366 +706 100 1 880997211 +685 327 2 879451234 +620 98 4 889987560 +693 514 4 875484431 +743 297 5 881277931 +474 660 5 887926999 +645 488 4 892053241 +587 332 4 892871171 +790 174 4 885155572 +379 208 4 880525214 +658 117 4 875145879 +561 155 2 885810785 +204 268 3 892388935 +324 678 3 880575277 +724 310 5 883757170 +694 181 5 875730386 +524 50 4 884634615 +706 50 5 880997142 +642 463 3 885602232 +504 99 3 887837739 +474 566 5 887926632 +429 684 4 882385882 +44 197 4 878347420 +592 1199 5 882608358 +799 479 5 879254026 +95 707 3 880572009 +592 1073 5 882956276 +782 346 2 891497854 +650 96 4 891369479 +347 977 5 881653224 +585 10 3 891286256 +643 32 4 891447459 +691 50 4 875543191 +619 82 5 885954053 +595 358 2 886920714 +679 419 3 884487514 +804 1076 3 879446162 +534 405 3 877807935 +562 286 4 879194616 +592 328 1 882607476 +599 274 5 880952144 +85 173 3 879454045 +301 162 3 882078287 +534 546 4 877808120 +588 42 5 890024529 +707 631 4 886286844 +469 286 5 879450367 +90 1204 4 891384959 +430 137 3 877225433 +524 549 4 884636931 +327 709 4 887819411 +719 121 1 879372253 +588 184 4 890025951 +588 165 2 890015649 +796 431 4 892676231 +716 729 2 879795375 +505 71 4 889333937 +449 285 5 879958572 +546 751 3 885139871 +613 194 5 891227299 +745 527 3 880123486 +131 813 3 883681466 +115 282 4 881171009 +805 319 2 881696876 +773 92 4 888540041 +747 591 2 888640776 +506 42 3 874873247 +528 173 5 886101610 +776 168 5 891628656 +295 155 4 879518715 +543 70 4 874863155 +176 262 4 886047292 +721 527 5 877140046 +452 163 4 886151027 +544 343 2 884796062 +574 327 3 891279122 +592 1226 4 882608873 +392 244 3 891038247 +790 38 2 885157929 +690 281 3 881180005 +225 705 5 879540707 +339 238 5 891032827 +1 127 5 874965706 +409 300 3 881104697 +267 81 4 878972434 +383 193 4 891193072 +303 385 4 879467669 +608 305 3 880402633 +623 194 5 891035112 +625 403 3 891961882 +543 684 4 874864737 +621 1028 4 880737861 +805 715 4 881698828 +465 174 3 883531409 +250 933 3 878089467 +354 464 4 891217512 +724 880 3 883757834 +407 514 4 875042675 +670 480 5 877975017 +312 1192 3 891699491 +763 213 4 878917468 +171 286 3 891034801 +194 629 3 879552401 +767 495 4 891463095 +708 763 4 877326158 +751 778 3 889297178 +255 117 2 883216845 +358 1006 5 891269913 +350 23 5 882345823 +660 774 3 891200594 +56 596 4 892683275 +798 138 3 876176160 +539 69 5 879787801 +215 77 3 891436690 +774 105 1 888558946 +774 520 3 888556398 +690 12 4 881179631 +486 319 3 879874388 +92 8 5 875654159 +749 195 5 878848639 +591 517 4 891040366 +795 502 3 883251421 +757 693 4 888467498 +707 529 4 886287376 +804 318 5 879441450 +194 540 1 879554950 +201 183 4 884112245 +346 219 2 875263664 +145 1289 1 875271660 +325 480 4 891478455 +504 142 3 887841158 +682 38 3 888521116 +522 134 5 876961020 +15 220 4 879456262 +387 679 5 886483194 +564 323 3 888730838 +588 684 4 890024246 +758 316 5 888020827 +796 399 4 893048471 +378 568 4 880055779 +268 92 4 875310745 +465 404 2 883532120 +13 398 2 882398410 +268 578 2 875744388 +790 284 4 884461888 +655 594 3 887430778 +216 64 5 881432544 +122 1267 4 879270769 +10 185 5 877888876 +508 52 4 883777047 +497 208 3 878759806 +746 56 3 885075211 +119 181 4 874775406 +743 268 4 881277551 +747 502 5 888733182 +747 1028 1 888733480 +416 2 4 886317115 +782 246 3 891499321 +788 639 3 880870710 +354 171 4 891306892 +607 30 4 883880180 +538 153 4 877106976 +804 588 4 879442687 +424 435 3 880859346 +802 323 5 875984722 +751 856 2 889134393 +758 387 2 881978495 +698 222 4 886366611 +429 174 4 882387773 +407 135 3 875119886 +342 192 4 875320082 +437 111 3 881002067 +308 152 5 887739292 +647 72 4 876534083 +551 77 3 892784130 +447 298 4 878854195 +711 132 5 879993150 +125 70 3 892838287 +16 661 4 877726789 +690 376 3 881177910 +532 315 3 888636423 +492 192 3 879969583 +503 12 3 879454675 +236 255 3 890116747 +710 310 3 882063224 +796 1119 4 892675528 +145 930 2 888398833 +76 1071 3 882606017 +753 515 5 891401712 +750 271 4 879445911 +143 326 5 888407708 +447 498 4 878856321 +343 561 3 876405172 +508 1153 4 883768797 +766 228 3 891309811 +804 399 4 879445111 +435 743 3 884134910 +727 424 1 883713454 +764 77 4 876246687 +593 286 5 875660009 +345 715 4 884993069 +806 324 2 882384513 +671 431 2 883546677 +763 258 3 878914901 +553 520 5 879949153 +796 491 4 892662964 +790 412 4 885158495 +57 471 4 883697134 +666 300 3 880138702 +254 118 4 886475406 +715 53 1 875963946 +104 332 2 888442305 +786 429 4 882843237 +657 109 1 884239886 +658 603 4 875147994 +608 461 4 880406507 +391 173 4 877399030 +291 670 5 874867785 +463 845 3 877385830 +802 452 4 875985976 +387 62 2 886483252 +388 315 3 886438122 +659 76 4 891383917 +648 498 3 884368130 +510 457 2 887667969 +135 470 4 879857931 +450 631 4 882394251 +716 211 5 879796171 +493 890 3 884130074 +484 699 4 891195773 +763 461 4 878915015 +437 174 5 880140122 +417 55 5 879647900 +346 657 4 875260577 +548 331 4 891042530 +436 23 4 887770064 +222 156 4 878183777 +790 1183 2 885157956 +804 198 5 879441391 +707 191 5 880061699 +59 32 4 888205228 +514 747 4 875463245 +455 1171 3 882141702 +495 395 1 888637147 +363 552 4 891497853 +486 975 3 879874783 +58 153 5 884304896 +363 919 5 891494659 +655 466 3 887474630 +624 125 3 879793093 +281 289 3 881200704 +608 475 3 880405971 +796 517 2 893047208 +796 795 3 893219254 +425 168 5 890347172 +301 562 3 882077256 +452 729 1 885981574 +497 652 5 878759777 +605 873 3 879365219 +654 252 2 887864031 +675 311 3 889488647 +542 41 4 886533068 +524 186 3 884634995 +682 549 3 888517415 +554 595 3 876232109 +157 111 3 886889876 +689 222 5 876674954 +485 748 2 891041551 +42 369 4 881105931 +764 100 4 876242649 +435 45 5 884131681 +56 300 4 892675935 +159 67 1 884026964 +207 526 4 875509507 +501 13 4 883348011 +534 1327 2 877808281 +525 322 2 881085256 +591 1028 3 891039658 +381 418 3 892696471 +654 100 1 887863436 +221 151 1 875246008 +523 384 3 883703495 +698 434 4 886366515 +599 763 5 880952316 +611 262 4 891636223 +805 17 4 881695346 +562 143 5 879196074 +13 70 3 882140691 +804 433 4 879444714 +416 8 5 893212484 +5 450 1 875635962 +619 385 5 885954053 +601 163 4 876350400 +667 131 5 891034810 +733 242 4 879535011 +663 619 4 889493182 +585 1449 5 891283338 +712 699 5 874956586 +660 1020 4 891199833 +654 739 4 887864886 +458 147 2 886395065 +724 908 1 883758208 +91 657 4 891439130 +130 179 4 875217265 +269 163 2 891449751 +506 418 4 874874055 +687 264 3 884652197 +662 813 3 880570194 +768 1016 2 883834814 +497 233 2 879310883 +805 387 3 881696905 +60 479 5 883326301 +712 416 3 874957113 +769 15 3 885423824 +532 411 3 874792031 +699 929 3 879147366 +109 210 5 880573084 +256 284 4 882151576 +537 178 4 886030767 +751 659 5 889133012 +776 496 3 891628708 +130 827 4 876251312 +59 591 4 888203270 +125 746 3 879455018 +387 10 4 886481228 +378 269 4 890513693 +642 862 4 892241015 +660 68 4 891199391 +455 14 3 883768822 +711 732 4 879994495 +798 1224 2 875638842 +593 580 1 876507120 +804 231 4 879445334 +321 275 4 879440109 +521 402 3 885253501 +744 482 3 881171420 +606 175 4 880927127 +551 324 3 892775824 +658 952 2 875145926 +406 277 3 879540106 +724 288 4 883757597 +7 638 4 892132122 +504 1118 3 887911035 +244 118 2 880604981 +459 16 2 879562939 +379 210 4 883156880 +279 456 3 875296924 +798 196 3 875743006 +687 319 4 884652276 +340 179 1 884989963 +749 187 3 881073104 +475 70 4 891627606 +645 430 5 892054797 +428 1280 3 885944069 +458 181 2 886396824 +715 89 3 875963538 +89 1 5 879461219 +758 827 3 882055257 +25 23 4 885852529 +682 150 4 888517197 +592 744 3 882608500 +734 172 4 891022212 +796 742 3 892660505 +487 176 5 883445540 +716 866 3 879794200 +343 28 5 876404793 +498 464 4 881958471 +757 207 2 888468632 +733 1171 3 879535780 +265 100 5 875320601 +532 535 5 888637085 +394 578 2 880888927 +755 304 4 882569881 +747 497 5 888639890 +254 343 2 886470904 +59 684 3 888204553 +661 28 5 876013975 +537 614 3 886031473 +655 1171 3 887426200 +699 268 4 884152267 +738 69 5 892844079 +602 9 4 888638490 +727 187 5 883710104 +676 352 1 892685875 +267 579 3 878973126 +748 144 4 879454707 +486 10 4 879874871 +624 150 4 879792493 +592 344 4 888553156 +514 197 4 875310992 +758 1098 5 881976746 +243 116 4 879987526 +398 66 4 875736732 +24 402 4 875323308 +790 139 2 885157748 +796 871 1 893219001 +627 651 4 879530109 +308 274 3 887738760 +699 252 4 879148050 +793 824 3 875104000 +309 989 3 877370383 +787 269 3 888979547 +299 99 3 889501790 +690 712 4 881177880 +293 232 2 888907384 +758 765 2 881980315 +90 732 5 891383241 +92 658 3 875654353 +721 382 4 877147675 +786 187 4 882843112 +539 487 3 879788101 +533 1147 3 879439204 +216 396 3 880245260 +788 71 3 880868144 +121 237 5 891388708 +806 405 3 882385762 +727 284 3 883709607 +222 1035 2 881060015 +568 486 4 877907720 +741 228 2 891455610 +420 301 3 891357188 +630 1055 3 885667898 +374 225 3 882158071 +774 179 5 888556634 +380 549 3 885479926 +151 151 5 879524760 +416 154 4 876699839 +595 952 5 886921424 +357 1028 5 878951729 +763 151 4 878923488 +535 1039 4 879618058 +486 245 3 879875441 +601 156 4 876348782 +794 475 5 891035822 +775 258 4 891032837 +394 68 5 881058419 +655 48 4 887472744 +587 895 4 892871113 +221 174 4 875245514 +82 79 3 878769334 +807 399 4 893080801 +774 238 5 888555928 +711 401 3 879995405 +276 173 5 874791993 +327 523 4 887818800 +745 203 3 880123696 +194 516 3 879522021 +704 655 3 891397190 +489 748 4 891366838 +123 432 5 879873120 +659 182 4 891332044 +421 127 4 892241624 +654 385 4 887864308 +347 156 5 881653652 +671 33 5 883949781 +771 993 4 880660199 +807 419 5 892528813 +198 707 2 884207009 +323 179 4 878739904 +593 278 3 875659686 +222 363 2 877563852 +254 665 2 886475234 +650 849 2 891381745 +455 252 3 879110818 +290 527 4 880474590 +221 94 3 875246857 +735 147 1 876698643 +711 50 4 876185648 +303 386 4 879485352 +739 969 1 886959039 +280 384 4 891702137 +561 345 4 885806823 +758 412 5 882054797 +788 504 4 880867970 +806 629 3 882389862 +798 116 3 875554781 +470 360 2 879189269 +450 167 5 882469863 +748 196 3 879454958 +706 1 4 880997324 +3 325 1 889237297 +639 510 3 891239862 +145 1210 1 888398766 +279 198 3 882456211 +378 186 3 880055186 +707 382 3 886287191 +581 285 5 879641533 +655 1009 2 887523271 +561 46 4 885808796 +561 1015 2 885810060 +777 56 5 875980670 +766 588 3 891309484 +161 210 2 891171698 +342 499 5 875319912 +592 98 5 882955918 +695 346 5 888806011 +174 50 4 886433166 +751 1007 4 889132222 +782 288 4 891498079 +655 215 2 887472943 +693 357 5 875482169 +181 595 2 878962918 +591 381 4 891040366 +532 52 4 888629446 +569 405 3 879794498 +177 129 3 880130653 +276 624 2 874792969 +327 160 4 887822209 +499 198 5 885599682 +8 181 4 879362183 +773 56 2 888539328 +568 612 3 877907720 +807 117 4 892528813 +518 475 4 876822811 +717 274 4 884642581 +600 29 2 888452490 +627 673 2 879530110 +738 496 4 875351346 +727 356 3 883712365 +699 244 3 878882319 +268 156 3 875745398 +792 124 4 877909865 +109 834 3 880583308 +456 181 3 881373120 +611 873 3 891636399 +407 232 3 876344993 +488 269 3 891293606 +755 269 5 882569604 +177 340 4 880130415 +727 69 4 883710186 +704 302 4 891397015 +641 496 2 879370337 +287 1067 2 875334036 +648 215 2 884796689 +768 756 3 883835053 +291 1277 4 874834019 +757 89 4 888445279 +739 286 2 886825020 +682 977 3 888521090 +724 872 1 883757537 +22 290 5 878886607 +401 302 3 891031464 +557 298 5 881095916 +380 98 4 885478698 +83 862 4 883868805 +798 480 3 875303765 +643 790 4 891449249 +537 523 3 886030682 +218 186 3 877488366 +406 182 4 879445734 +417 452 2 880952970 +467 269 4 879532145 +682 100 3 888517011 +611 887 2 891636125 +561 168 4 885807261 +591 792 4 891031383 +741 785 3 891457371 +548 925 2 891415709 +16 172 5 877724726 +214 496 4 891544545 +543 134 5 874862967 +543 16 3 875655073 +746 232 3 885075304 +707 723 3 886286954 +577 77 3 880475561 +727 1088 2 883709884 +797 307 2 879439190 +372 299 4 876869147 +146 315 5 891458193 +109 748 3 880562908 +801 890 2 890333150 +459 249 2 879562860 +425 520 3 890347085 +385 53 1 879446110 +790 123 3 884461413 +551 66 2 892783281 +432 628 5 889416398 +704 735 4 891397305 +805 321 3 881705292 +313 465 3 891030096 +506 582 3 874873423 +748 258 5 879454081 +709 27 3 879848590 +459 815 4 879563102 +663 31 4 889493628 +749 69 5 878847576 +405 43 1 885546680 +145 176 5 875271838 +561 955 3 885808738 +37 827 3 880915607 +435 399 3 884133253 +305 285 5 886322930 +780 208 3 891364125 +640 231 5 874778424 +450 693 3 887139232 +416 295 5 893213405 +496 1229 1 876071097 +782 294 3 891498381 +45 282 4 881008636 +474 302 5 887914615 +326 385 3 879876882 +712 73 5 874730293 +796 932 4 893219254 +210 792 3 887730532 +655 265 3 887477314 +435 573 1 884132515 +653 722 1 880152800 +472 210 5 875981664 +748 135 4 879454998 +372 595 4 876869878 +698 489 3 886367849 +579 748 3 880951569 +776 127 5 891628731 +642 864 3 885605987 +796 496 5 892662223 +367 413 4 876689879 +499 313 5 885597821 +198 531 5 884207525 +578 1098 2 890939753 +325 529 4 891478528 +736 248 4 878709365 +207 302 4 891759118 +747 952 2 888733630 +393 385 4 887746207 +749 477 3 878848405 +782 310 4 891497963 +475 50 5 891627857 +809 678 2 891037172 +522 23 5 876961248 +608 549 4 880405824 +806 705 4 882387595 +489 892 3 891449532 +659 739 4 891387022 +535 654 5 879617856 +668 323 4 881591198 +543 102 4 874863155 +452 1383 1 886149828 +804 85 4 879445190 +59 792 4 888206362 +749 194 5 878847541 +681 304 3 885409742 +537 435 3 886031933 +561 367 3 885809583 +605 597 3 879427755 +125 72 4 892838322 +514 462 4 875310992 +234 30 4 892335951 +805 595 3 881695951 +711 111 2 876185574 +608 1039 5 880406552 +396 471 4 884646263 +697 336 3 882621523 +301 431 4 882078008 +399 15 5 882340828 +405 71 1 885548836 +743 311 5 881277551 +658 178 5 875148195 +796 765 3 893047691 +756 100 5 874831383 +711 735 5 886030557 +569 1284 2 879795512 +569 756 3 879794660 +189 4 5 893265741 +656 269 3 892318343 +92 1090 3 875907079 +342 381 5 875320312 +536 408 5 882318561 +690 159 3 881180005 +232 69 3 888549376 +82 286 4 876311004 +760 604 4 875668219 +807 385 4 892530349 +609 475 2 886896281 +782 308 4 891498030 +707 582 5 886286433 +290 323 3 880473346 +540 508 4 882156983 +489 1280 3 891447653 +707 1530 3 886288356 +327 338 1 887743815 +440 1265 5 891548567 +133 343 2 890589188 +312 10 5 891699455 +254 29 2 886474847 +184 496 5 889908539 +579 245 2 880951595 +754 255 3 879451585 +809 289 1 891037020 +138 45 5 879024232 +133 269 4 890588766 +363 449 3 891498863 +804 49 2 879447476 +561 276 4 885807713 +561 203 4 885807261 +479 180 4 879460819 +378 106 2 880334241 +718 274 3 883349363 +778 265 4 890726003 +524 496 2 884637314 +711 10 5 876185943 +650 654 3 891369890 +124 7 4 890287645 +644 237 4 889076775 +745 286 1 880123905 +330 185 4 876546236 +586 127 4 884057313 +355 288 5 879485523 +201 396 3 884114682 +152 778 3 882476683 +100 272 4 891375629 +551 732 4 892783711 +788 708 2 880869908 +325 105 3 891480175 +7 145 1 891354530 +479 1142 5 879459939 +104 50 5 888465972 +365 846 3 891304152 +632 588 2 879457217 +748 514 4 879454749 +523 210 5 883702209 +291 21 2 874834389 +525 1315 4 881086393 +551 73 2 892784130 +533 871 2 879192730 +276 881 3 885537717 +661 173 4 876014469 +558 1068 2 879435896 +463 870 2 877385615 +727 282 4 883709157 +516 660 5 891290593 +525 405 4 881086693 +447 98 4 878855873 +604 558 4 883668175 +556 187 5 882136396 +804 192 4 879441752 +795 4 4 881253238 +622 156 5 882592143 +206 360 1 888180081 +733 1658 3 879535780 +484 7 4 881449706 +677 1240 5 889399671 +532 318 5 893119439 +95 177 3 879196408 +389 674 2 880088900 +671 5 2 883949781 +711 286 4 876185488 +627 96 3 879531196 +379 173 5 880525259 +535 721 3 879618464 +815 196 4 878694526 +159 988 3 880485529 +666 197 4 880568129 +785 22 4 879438957 +709 939 4 879847082 +360 210 4 880356166 +671 4 5 884035939 +468 100 5 875279269 +493 300 4 884129725 +321 611 4 879439832 +144 54 2 888105473 +307 172 5 879283786 +727 1218 4 883712068 +276 479 5 874836703 +659 664 4 891386380 +272 651 4 879454797 +804 550 4 879445739 +650 416 3 891387312 +634 1009 2 875729794 +711 248 5 886030732 +537 346 3 886028544 +593 966 5 886193788 +650 715 3 891383206 +527 70 4 879455873 +496 10 5 876064845 +7 601 5 891353744 +763 22 4 878921853 +51 134 2 883498844 +653 381 2 880606620 +354 238 4 891217394 +655 207 3 888893279 +617 219 4 883789536 +763 275 5 878915958 +712 402 4 874729935 +509 345 1 883590115 +293 589 4 888906677 +87 1185 4 879876885 +295 89 5 879519555 +606 99 4 880923799 +90 8 5 891383424 +508 98 3 883767140 +450 431 5 882473914 +642 90 4 885606024 +617 201 1 883789465 +648 202 5 884881524 +298 265 4 884127720 +621 1013 2 880738282 +501 405 4 883347857 +339 191 5 891033676 +524 402 2 884636617 +739 132 4 886959039 +802 447 2 875985686 +387 241 1 886483194 +679 291 4 884487960 +18 204 3 880131407 +606 531 5 880924188 +670 98 2 877975731 +807 465 4 892529448 +497 420 3 879309993 +389 1050 4 879991242 +220 340 4 881197663 +592 875 4 882607434 +804 1222 3 879446276 +642 313 5 886454784 +650 571 3 891387915 +675 312 2 889488624 +716 527 5 879795813 +727 72 3 883712476 +766 423 3 891309844 +655 1501 3 887523200 +625 257 4 891273543 +654 591 5 887863412 +748 319 3 879454107 +721 324 3 877137447 +807 471 4 892775416 +796 49 3 893047287 +545 31 4 884133988 +313 520 5 891013939 +817 748 4 874815649 +6 425 3 883602865 +82 822 2 878769262 +653 563 1 880153406 +677 457 1 889399113 +417 783 3 879649064 +641 89 4 879370364 +664 12 5 876524699 +782 678 3 891498767 +786 200 5 882844010 +532 4 5 893119415 +715 976 1 875962339 +553 638 3 879948732 +708 255 5 877325601 +404 245 3 883790401 +639 750 2 891238514 +749 951 4 878848533 +521 31 3 884478135 +506 478 4 874873067 +694 1455 3 875727061 +773 234 2 888540279 +387 856 5 886484124 +390 286 4 879693461 +804 213 3 879441651 +454 842 2 881960266 +553 190 5 879949251 +251 24 3 886272283 +89 475 5 879441307 +752 288 5 891208452 +807 250 4 893084375 +749 472 4 878849149 +756 161 3 874831194 +624 7 4 879792623 +662 319 3 880569520 +749 78 3 878850632 +328 192 4 885045805 +499 497 2 885599498 +276 3 3 874786924 +88 354 5 891037708 +450 1521 3 882812350 +600 181 4 888451491 +307 1065 3 879205470 +677 471 4 889399171 +440 329 5 891548567 +805 755 3 881705810 +721 1296 3 877137285 +805 747 3 881696729 +267 483 5 878971463 +84 486 5 883453664 +806 177 3 882388254 +436 763 4 887771042 +102 288 2 887051621 +569 685 4 879794075 +537 180 4 886031342 +399 779 4 882350850 +60 89 5 883326463 +633 128 3 875325225 +627 578 3 879531351 +109 391 2 880581127 +181 1328 1 878962240 +710 603 4 882063921 +476 88 4 883364717 +561 2 3 885809752 +771 154 2 880659426 +708 748 4 892719033 +751 50 5 889132162 +693 660 3 875483020 +5 235 4 875635384 +655 152 3 890887261 +666 270 3 880138720 +575 294 1 878146447 +716 837 4 879796475 +234 867 4 892826174 +805 176 4 881684185 +648 414 1 884797033 +712 739 4 874729935 +268 562 4 875744357 +698 205 4 886367013 +234 130 1 892336194 +13 586 3 882398326 +763 1268 5 878918933 +705 231 3 883428201 +382 23 5 875946978 +374 12 4 880395202 +287 652 4 875335018 +420 484 5 891356864 +821 742 4 874793130 +634 125 4 875729710 +197 82 5 891409893 +406 15 4 879540051 +770 255 4 875972099 +307 580 4 879283514 +708 304 4 892718876 +671 96 5 884035686 +409 205 3 881107992 +474 64 5 887924027 +130 944 4 876252042 +539 962 4 879788195 +738 380 3 875351530 +518 1114 2 876824079 +758 1111 4 881977375 +533 94 4 879192184 +368 100 4 889783407 +213 597 5 878871062 +104 271 1 888442370 +652 245 4 882567058 +795 235 3 880560263 +501 111 3 883348474 +773 384 2 888539766 +576 248 4 887169019 +642 755 3 885603495 +210 451 3 891036054 +708 148 4 892719246 +762 237 3 878719294 +358 855 3 891269464 +188 76 4 875073048 +711 731 4 879994656 +530 815 4 886202404 +655 302 4 887424720 +774 208 2 888555897 +263 133 5 891298977 +543 576 4 877546306 +325 482 4 891478333 +320 183 4 884749255 +539 133 4 879788136 +758 997 4 881979969 +591 210 3 891031469 +552 250 3 879222336 +763 742 4 878921584 +758 302 5 882848498 +758 480 5 881975213 +815 944 3 878696318 +213 582 4 878955442 +561 1035 3 885810390 +467 24 4 879532496 +452 496 5 875261666 +537 543 5 886031074 +422 561 3 879744143 +666 489 4 880314194 +680 15 3 877075048 +768 845 2 880135875 +796 576 3 893048562 +688 754 5 884153606 +43 131 3 883954997 +557 529 5 881179455 +492 100 4 879969292 +268 268 5 876513491 +221 227 3 875247522 +790 232 4 885156773 +28 573 4 881961842 +625 517 3 891636079 +818 302 5 891870264 +381 509 5 892696872 +712 1043 3 874956788 +587 355 3 892871610 +655 919 2 888474490 +805 475 5 881704016 +774 672 1 888557772 +627 55 4 879531301 +543 204 4 874864737 +788 601 4 880868876 +456 186 4 881374048 +514 97 5 875462764 +795 407 3 880560679 +673 328 4 888787355 +75 322 1 884049789 +459 989 5 879561708 +648 825 4 882212039 +7 506 5 891353614 +793 294 5 875103584 +747 91 5 888640820 +538 22 5 877107232 +814 565 3 885411347 +588 747 4 890025797 +255 443 1 883216544 +741 38 2 891455832 +805 576 4 881695040 +747 135 5 888640437 +761 678 2 876189689 +806 182 5 882387925 +773 1021 5 888539011 +495 417 3 888636741 +524 107 3 884628284 +655 275 4 887425845 +378 1101 3 880055983 +181 1161 1 878962119 +704 136 4 891397819 +650 526 4 891369554 +435 567 3 884133785 +290 28 5 880474235 +6 1 4 883599478 +50 15 2 877052438 +529 328 4 882535256 +495 132 4 888632916 +639 178 5 891240543 +798 932 4 875637927 +328 73 4 885048062 +693 509 3 883975500 +5 169 5 878844495 +517 333 3 892659922 +595 748 2 886920655 +184 301 3 889907045 +618 507 4 891309239 +606 747 4 880927468 +110 468 3 886988202 +716 425 5 879796279 +236 274 1 890117073 +812 288 4 877625294 +16 71 5 877721071 +682 79 4 888520705 +91 56 1 891439057 +792 1132 3 877910160 +391 483 3 877399423 +561 196 4 885808620 +320 732 3 884751013 +189 517 4 893265535 +90 322 4 891382658 +336 151 1 877759473 +424 740 5 880859674 +400 258 5 885676316 +815 386 2 878696563 +786 231 2 882844127 +709 293 4 879847879 +798 21 5 875554953 +734 482 2 891025591 +159 1092 2 880989744 +605 22 4 879424548 +742 181 3 881335281 +627 636 4 879531302 +244 1041 4 880608788 +335 322 4 891567125 +130 1245 3 876251312 +552 826 2 879222002 +721 755 4 877139773 +796 716 3 893047167 +633 5 3 877212085 +298 215 5 884182685 +753 96 1 891401366 +526 508 4 885682590 +699 1615 3 883884998 +221 809 3 875247775 +279 515 3 875295943 +805 527 3 881698798 +500 100 4 883865104 +292 2 4 881105778 +474 22 4 887924571 +305 431 4 886323806 +751 100 4 889132252 +378 709 4 880055921 +622 795 2 882672079 +658 32 3 875147800 +548 678 4 891043547 +633 1019 4 875324766 +566 204 3 881649828 +399 268 3 882340284 +688 259 5 884153750 +748 173 4 879454831 +383 238 5 891192836 +216 466 4 880234347 +776 436 4 892920350 +303 144 5 879467035 +655 1223 3 891585242 +121 347 3 891389304 +749 468 3 878848333 +545 569 3 879900011 +457 82 5 882397494 +627 27 3 879530762 +623 291 3 891034129 +655 89 4 887650683 +738 298 3 875348670 +615 428 5 879449111 +57 1001 1 883698039 +798 586 2 875303765 +342 262 2 874984025 +216 238 5 880244446 +230 496 5 880484501 +59 240 2 888203579 +730 300 3 880309964 +618 1048 3 891308980 +500 1160 5 883865483 +823 94 2 878439497 +545 99 4 880347957 +551 88 4 892783314 +806 407 3 882386125 +671 684 3 883546890 +568 242 4 877906547 +709 860 3 879848318 +659 356 3 891385012 +367 637 3 876690021 +664 196 4 878090054 +671 144 4 884035686 +622 395 2 882672143 +768 117 4 883834981 +655 770 2 892011201 +567 205 3 882425736 +676 845 5 892686398 +555 181 5 879962172 +715 318 5 875963867 +474 709 5 887928755 +489 333 4 891362740 +566 318 4 881649471 +417 82 4 879647326 +805 222 4 881694823 +630 174 3 885668131 +622 169 5 882669374 +354 478 5 891217365 +332 125 5 887938224 +796 488 2 892662400 +303 228 4 879467574 +751 56 4 889132775 +517 405 4 892659893 +748 710 3 879455410 +385 133 1 879441728 +682 294 3 888516841 +416 183 5 893214127 +766 99 3 891309810 +788 570 3 880869862 +576 50 4 887081005 +757 1090 2 888467187 +543 89 4 877545605 +59 644 4 888205033 +746 550 4 885075367 +268 88 2 875743760 +570 258 3 881262189 +158 233 3 880134477 +548 1013 3 891043910 +642 418 5 885606581 +305 749 2 886308111 +532 708 4 877634392 +521 109 5 884475845 +702 300 3 885767461 +710 142 3 882064377 +788 403 3 880870516 +101 411 2 877136891 +704 1454 3 891397441 +306 1514 4 876504614 +768 257 4 880136012 +1 16 5 878543541 +805 473 4 881695591 +626 313 5 887772871 +222 109 3 878184136 +234 492 3 892078936 +642 234 1 885603662 +747 205 5 888639102 +655 1421 3 887523477 +788 54 4 880869174 +790 449 2 885157594 +178 658 5 882827162 +7 433 5 892135347 +529 288 4 882535353 +222 185 4 881059419 +592 327 4 882607387 +83 38 5 887665422 +805 96 4 881694713 +226 509 4 883889322 +508 196 3 883776704 +787 292 3 888979236 +804 365 4 879446194 +322 654 5 887314118 +535 284 4 879619144 +665 214 4 884294935 +63 1 3 875747368 +378 59 4 880046475 +11 434 4 891904270 +404 66 4 883790883 +663 127 5 889493540 +620 820 4 889987954 +320 751 4 884748470 +724 344 1 883757468 +676 259 4 892685621 +303 1220 2 879484899 +710 313 4 882860832 +276 392 3 874790996 +488 1050 4 891294568 +659 629 4 891386680 +44 553 3 878347847 +665 815 4 884290608 +561 22 3 885809223 +684 386 3 878759184 +798 197 2 875303502 +655 921 3 887474656 +530 660 3 883785464 +671 742 5 884035173 +788 188 4 880870083 +42 151 4 881110578 +806 3 2 882385916 +694 423 5 875727018 +536 121 4 882318820 +749 732 4 878848452 +650 631 3 891383424 +720 749 3 891262812 +806 192 4 882387798 +122 190 4 879270424 +798 1089 3 875295616 +7 649 5 891353254 +682 282 4 888519918 +452 509 4 875560790 +200 71 4 884129409 +535 942 4 879619035 +660 33 2 891200193 +620 125 2 889987255 +772 326 4 877533625 +674 1 4 887762799 +790 376 2 885157533 +429 172 5 882385118 +747 153 4 888639989 +456 582 5 881374162 +794 50 5 891035307 +510 323 4 887667752 +299 153 3 877881320 +618 942 2 891309293 +795 186 3 883249522 +653 385 4 878854190 +435 821 2 884132840 +554 405 4 876550654 +313 588 4 891016354 +682 476 1 888522100 +671 161 5 884035892 +712 215 3 874730031 +660 680 2 891405088 +116 607 2 876453961 +450 602 4 882373532 +280 22 5 891700552 +178 720 3 882827645 +776 164 3 892920290 +727 542 2 883712993 +804 654 3 879441651 +234 520 4 892078890 +686 176 3 879545413 +254 432 2 886473158 +342 461 3 874984315 +42 318 5 881107718 +435 222 3 884132027 +780 133 5 891364086 +617 183 4 883789386 +809 272 5 891036743 +768 70 4 888798611 +764 1152 3 876242755 +224 699 4 888103703 +738 42 2 875350012 +769 546 4 885424242 +804 81 4 879441913 +660 106 2 891903867 +334 82 4 891547083 +803 271 2 880054833 +176 93 5 886047963 +425 118 1 878738596 +2 300 4 888979197 +550 877 4 883425723 +398 523 4 875717779 +531 338 1 887048938 +174 780 1 886515030 +608 939 4 880405896 +708 756 2 877326062 +788 194 4 880870052 +786 180 4 882843112 +97 186 3 884239574 +698 220 3 886367874 +158 10 4 880132513 +530 88 4 890627443 +499 474 4 885599227 +405 1261 1 885546529 +301 218 4 882076643 +606 250 4 878143047 +700 50 5 884493899 +796 168 5 892662871 +766 654 4 891309090 +655 955 3 887860615 +804 609 3 879444583 +354 42 2 891217512 +796 202 4 893047167 +454 98 1 888266433 +92 627 3 875654159 +20 496 5 879669244 +243 191 5 879989217 +151 652 5 879524472 +210 708 5 887731391 +181 285 2 878962816 +716 490 4 879794870 +236 50 3 890116059 +532 498 4 888629124 +757 217 3 888467381 +262 56 4 879792027 +422 672 3 879744086 +423 823 3 891395759 +556 294 2 882135855 +87 13 3 879876734 +611 355 1 891636399 +559 226 5 891034688 +756 176 4 874828826 +688 329 5 884153606 +825 111 3 892947930 +715 172 4 875963452 +629 381 4 880117852 +804 151 3 879442412 +519 351 5 883250102 +243 737 3 879988557 +552 932 3 879222194 +807 239 4 892529805 +216 655 5 880233726 +817 124 4 874815885 +543 715 3 877550534 +543 709 3 874866535 +627 423 3 879530145 +601 389 2 876350537 +764 597 4 876243440 +619 346 3 885953622 +294 117 4 877819634 +554 596 3 876232758 +571 462 4 883354992 +508 200 4 883768842 +345 268 4 884900448 +292 64 5 881105373 +773 433 3 888539471 +367 564 2 876690077 +773 238 4 888539347 +726 257 3 889831166 +655 297 4 888474107 +347 195 4 881653603 +292 248 4 881103999 +88 286 5 891037111 +207 143 4 878191679 +489 258 5 891366570 +711 1046 3 879994367 +360 1039 5 880356131 +709 470 3 879847026 +690 739 3 881180564 +796 26 2 893047208 +178 1011 3 882824431 +823 211 5 878438585 +608 64 4 880405165 +535 193 4 879618700 +776 21 3 892313317 +449 1011 4 879958685 +466 98 3 890285762 +567 183 4 882425701 +771 91 4 880659815 +760 278 4 875666242 +727 42 5 883710375 +350 483 5 882347734 +650 155 2 891384249 +164 471 5 889402245 +738 79 3 875351019 +487 272 5 885322350 +804 175 4 879444583 +130 329 4 874953337 +763 196 4 878919206 +596 181 4 883539431 +694 203 4 875728801 +716 521 3 879796846 +671 864 3 884204727 +807 636 4 892530752 +389 118 2 880088900 +521 967 3 885254071 +749 216 4 878848137 +712 722 3 874957086 +770 118 4 875973080 +625 516 3 892000518 +721 732 4 877147079 +805 447 4 881695293 +608 56 5 880403690 +610 50 4 888702961 +216 67 3 881721843 +513 50 5 885062365 +771 949 5 880659941 +425 398 1 878738597 +639 97 1 891240495 +286 462 5 877531537 +339 546 4 891036423 +25 929 4 885852178 +746 157 4 885075590 +25 430 4 885852920 +293 213 3 888906905 +749 781 4 878849979 +62 474 4 879373613 +653 128 3 880606620 +802 327 2 875984861 +472 132 5 875979853 +769 934 4 885424462 +534 149 2 877808237 +535 194 5 879617663 +62 652 4 879375364 +305 1018 5 886324580 +733 14 5 879535368 +727 131 2 883711699 +591 615 4 891031116 +815 173 5 878695241 +434 743 1 886725027 +429 1089 2 882387053 +343 276 5 876403078 +747 739 3 888734072 +682 11 4 888517049 +345 305 4 884900483 +653 930 4 880148885 +420 270 3 891356790 +541 418 5 883874646 +655 188 3 888474807 +268 39 3 875309914 +732 882 5 882589819 +711 724 5 879995461 +500 9 4 883865042 +184 1297 2 889910257 +758 527 5 881977169 +709 637 3 879848168 +593 143 4 886193303 +795 675 3 883251659 +264 201 5 886122261 +566 182 4 881649428 +642 254 4 886454812 +752 896 3 891207846 +464 248 5 878354998 +699 250 4 879148050 +661 647 4 876013356 +684 208 3 878761120 +70 538 2 884066399 +827 329 3 882807787 +270 123 5 876954223 +790 29 2 885158082 +537 234 3 886031211 +113 258 5 875075887 +748 86 4 879455126 +37 930 3 880915711 +634 763 3 875729825 +642 723 4 886132088 +655 1378 3 887523176 +393 357 2 887745815 +284 302 4 885328906 +708 597 2 877326345 +774 1182 1 888556278 +715 1045 2 875965171 +654 300 5 887863017 +671 12 5 883546120 +451 884 1 879012890 +416 378 5 893212896 +749 148 3 878850212 +727 95 4 883710948 +354 494 4 891217194 +178 233 4 882827375 +500 285 3 883865020 +823 81 4 878437836 +716 481 4 879795025 +416 191 5 893213019 +536 736 5 882360264 +796 174 5 892662069 +637 274 5 882904065 +825 423 5 881101641 +802 444 4 875985840 +184 220 3 889908264 +561 67 1 885810240 +751 272 4 887134672 +677 1245 4 889399199 +524 517 4 884635136 +806 654 5 882387837 +645 73 3 892055445 +642 153 3 885602572 +595 246 4 886921068 +774 31 1 888558284 +628 292 5 880776981 +644 323 4 889076433 +648 1 5 882211109 +254 629 2 886472337 +593 155 5 875671579 +65 1 3 879217290 +782 264 4 891498381 +473 302 4 878156824 +224 328 4 888081947 +435 1151 1 884134019 +586 23 2 884058674 +95 257 5 879197329 +554 275 4 876231634 +795 514 4 883250472 +416 729 5 893212896 +429 1228 3 882387163 +721 318 4 877140047 +625 208 3 891968164 +734 699 4 891022752 +749 389 3 878849375 +655 1053 1 887489159 +15 237 3 879455871 +712 136 1 874730443 +56 87 4 892678508 +479 31 4 889125905 +497 1 4 879309955 +653 195 5 878854100 +211 275 2 879460096 +629 729 4 880117852 +466 187 3 890284857 +477 846 4 875942042 +806 238 4 882388082 +144 1012 4 888104521 +268 230 3 875310824 +567 234 3 882426762 +796 636 2 893048505 +194 133 3 879523575 +378 218 3 880056491 +745 646 4 880123416 +751 131 5 889132966 +675 937 1 889490151 +60 617 4 883326273 +13 264 4 882140848 +793 1142 5 875104068 +804 254 4 879441195 +660 64 3 891199035 +554 71 4 876550257 +1 79 4 875072865 +43 258 5 875975028 +82 1063 3 878769815 +401 892 1 891031867 +781 322 2 879633862 +710 23 5 882064200 +201 315 3 884111029 +663 330 4 889491739 +23 62 3 874786880 +551 1621 1 892785194 +780 357 5 891363723 +611 334 5 891636223 +270 943 5 876956038 +766 494 3 891309177 +344 713 3 884899742 +655 1167 3 887428384 +686 521 5 879546786 +189 10 5 893264335 +796 5 4 893194607 +279 211 4 875309616 +565 1396 5 891037333 +807 1444 3 893082702 +522 543 4 876961076 +711 232 3 879993799 +616 331 4 891224677 +648 500 5 884368002 +82 1128 1 884714361 +656 322 1 892319238 +801 895 5 890332929 +128 73 3 879969032 +804 1488 3 879445579 +457 841 4 882395516 +805 42 2 881704193 +655 405 2 887429900 +805 90 2 881705412 +778 239 4 890726303 +234 552 2 892336322 +635 1025 2 878878901 +221 184 4 875245574 +334 1504 3 891549718 +736 515 5 878709365 +650 525 3 891369954 +514 116 4 875462426 +650 530 4 891372233 +435 264 3 884130671 +795 797 3 883254750 +280 88 3 891701556 +660 191 4 891406212 +85 924 1 879453114 +371 504 4 880435576 +791 299 2 879448035 +829 278 1 881712488 +639 727 2 891239613 +782 1279 3 891499660 +707 86 4 886286283 +585 59 4 891283124 +569 13 3 879793847 +194 143 3 879524643 +721 22 5 877139147 +749 134 4 878847286 +723 137 3 880498970 +759 678 2 875227742 +343 606 5 876404836 +373 390 3 877098890 +655 631 4 887473570 +602 121 4 888638434 +731 1 2 886184421 +406 191 5 882480443 +364 325 4 875931432 +266 237 3 892257940 +747 634 5 888639222 +7 474 5 891351002 +727 1273 3 883713286 +682 53 2 888519519 +222 237 4 877563437 +621 1029 2 874963210 +788 739 2 880870149 +588 678 2 890015063 +276 871 2 874836608 +501 952 4 883348114 +804 385 4 879445904 +745 183 3 880123205 +600 779 2 888452564 +773 191 4 888540448 +189 1401 4 893266137 +338 189 4 879438449 +14 81 5 890881384 +642 83 5 885603636 +468 724 4 875287615 +807 1050 5 892529311 +692 127 3 876948910 +715 265 5 875964105 +790 790 2 885157928 +592 466 5 882955766 +201 192 4 884111637 +70 15 3 884148728 +580 250 5 884125072 +498 1161 3 881960777 +783 876 4 884326424 +742 508 4 881335461 +469 474 5 879524117 +804 664 3 879446090 +665 105 2 884291810 +417 1016 4 886186827 +496 607 3 876065822 +596 682 4 883539173 +678 50 4 879544450 +581 127 5 879643079 +100 881 1 891375186 +541 402 3 883864946 +432 284 4 889416521 +804 663 5 879442793 +76 517 5 882129432 +592 188 5 882956387 +537 238 4 886030966 +650 373 1 891382877 +403 276 4 879785941 +545 173 5 879900185 +752 347 4 891207846 +486 151 2 879875041 +490 847 3 875427873 +442 64 5 883389682 +472 323 4 892790117 +782 248 4 891499321 +370 321 2 879434265 +655 887 3 887650979 +774 1305 3 888555829 +699 118 4 879148051 +643 12 5 891446720 +829 189 4 891992008 +521 172 3 884478049 +405 662 1 885546155 +753 359 4 891399477 +804 674 4 879445699 +666 151 2 880313582 +53 50 4 879442978 +807 99 5 892529401 +642 168 5 885842943 +758 428 4 881976745 +528 69 3 886101761 +7 356 4 891351728 +380 959 2 885479455 +712 662 5 874730320 +380 684 3 885478886 +782 687 2 891498865 +398 25 4 875655011 +18 492 4 880131054 +537 709 4 886031342 +630 300 4 885665975 +602 457 3 888638305 +387 789 4 886482928 +16 448 5 877722736 +648 94 5 884882234 +807 842 4 892979600 +811 301 5 886377530 +682 21 4 888522194 +681 286 5 885409370 +757 58 3 888467592 +804 405 4 879443776 +487 941 3 884045297 +527 183 5 879456691 +679 56 4 884487418 +739 96 5 886959039 +709 451 1 879848969 +543 147 4 877543316 +456 1547 4 881373948 +752 326 1 891208299 +435 64 5 884131036 +710 335 1 882063564 +722 151 5 891281020 +393 550 3 887746482 +666 729 4 880314225 +450 1053 3 882396352 +560 321 3 879975151 +807 271 3 892527385 +682 419 3 888523054 +178 293 4 882823954 +625 393 4 891263665 +747 1142 4 888732952 +186 298 3 879023073 +308 434 4 887736584 +270 93 5 876954522 +762 1662 1 878719324 +577 226 4 880475094 +655 974 2 887477025 +430 152 4 877226569 +523 722 3 883703495 +796 1049 4 893219151 +515 286 2 887660131 +804 194 4 879442490 +342 875 1 874984045 +366 201 5 888857866 +325 199 5 891478199 +429 655 3 882385399 +741 88 4 891457456 +377 234 5 891299078 +613 607 4 891227236 +682 238 3 888521540 +259 65 3 883371001 +664 192 4 876524096 +458 96 4 886398543 +758 742 4 881976168 +815 483 5 878696284 +830 385 4 891561805 +263 258 3 891296969 +119 9 4 890627252 +798 993 3 875554639 +586 69 4 884059426 +825 20 2 889021180 +685 873 2 879451401 +619 665 5 885954261 +346 708 3 874951714 +221 210 5 875245760 +805 761 3 881695040 +606 841 3 880922625 +742 1012 4 881335528 +380 222 3 885478519 +615 732 4 879449211 +255 273 2 883216845 +661 427 4 876016491 +790 109 3 884461775 +304 763 4 884968415 +764 9 4 876242649 +704 491 5 891397535 +201 1170 4 884141053 +145 1283 1 875270903 +694 97 5 875727399 +375 176 4 886621917 +497 181 5 879310580 +178 792 5 882827834 +13 835 3 882139901 +795 80 3 883254212 +271 625 3 885849606 +624 305 4 891961140 +326 226 5 879876975 +385 732 3 879442189 +703 1047 3 875243028 +663 876 3 889491739 +537 988 1 886029488 +545 550 3 879899327 +524 546 4 884627594 +826 336 4 885690064 +234 286 3 891033314 +731 1269 3 886187652 +642 577 4 886569870 +804 1079 4 879444133 +655 1322 2 887523641 +630 280 2 885667148 +751 70 4 889297870 +405 518 1 885546287 +666 333 3 880138999 +817 118 3 874815947 +454 724 3 888267158 +622 1079 2 882591663 +758 790 4 881978115 +826 313 5 885689782 +612 300 4 875324266 +629 319 4 880116722 +314 542 4 877890300 +712 99 4 874729995 +559 398 3 891034904 +457 215 4 882398002 +537 746 3 886031149 +831 877 2 891354391 +757 549 5 888468540 +405 453 3 885548385 +729 683 2 893286511 +806 483 4 882387409 +38 144 5 892430369 +567 212 2 882427023 +92 566 4 875658112 +389 657 5 879991115 +365 276 2 891303901 +343 462 4 876404385 +778 193 4 890769241 +437 186 3 881001208 +598 258 5 886711452 +659 7 3 891331564 +311 97 4 884365357 +302 358 3 879436981 +345 280 3 884991457 +674 125 5 887762779 +85 483 5 879453933 +374 15 3 880393380 +318 100 5 884470896 +712 220 5 874729682 +741 722 3 891457528 +653 455 3 878854051 +452 7 5 885816915 +693 581 3 875482731 +322 127 4 887313801 +110 642 2 886989126 +393 459 4 887744517 +142 315 3 888639837 +44 144 4 878347532 +703 50 5 875242813 +268 1413 2 875744388 +236 98 5 890116253 +713 340 3 888882133 +766 646 4 891309053 +660 1419 1 891202022 +525 597 3 881086413 +379 227 4 880525638 +782 1241 2 891500150 +521 95 3 885253266 +393 1035 3 889731329 +45 1001 3 881014785 +561 28 2 885808053 +819 1537 5 884012662 +711 909 4 889911007 +378 722 3 880334017 +580 1014 3 884125135 +312 499 4 891699296 +753 182 3 891401851 +786 238 4 882843646 +683 56 5 893286364 +577 55 3 880474694 +748 474 4 879454475 +473 129 4 878157329 +487 50 4 883442018 +130 156 3 875801447 +773 60 5 888538931 +695 270 4 888805952 +215 98 5 891436543 +539 610 4 879788533 +650 735 3 891369588 +747 28 4 888640915 +778 1035 1 890804607 +710 134 5 882063648 +655 651 4 887564613 +682 7 4 888522455 +627 227 3 879531352 +717 271 2 884641842 +372 98 5 876869388 +790 229 3 885156686 +587 750 3 892871113 +43 729 4 883956387 +678 282 3 879544952 +452 183 4 888492759 +707 1113 2 886287990 +749 295 3 881602635 +474 414 4 887927153 +667 504 3 891035015 +653 228 4 878854190 +617 238 3 883789249 +650 212 3 891383713 +474 520 5 887925837 +69 124 4 882072869 +132 285 4 891278996 +454 385 3 888266810 +303 8 5 879467223 +682 31 3 888520705 +655 425 3 887477409 +565 382 5 891037586 +524 7 2 884627065 +416 693 3 878879976 +733 237 3 879535338 +521 13 2 884476240 +668 283 5 881605324 +778 616 4 890726086 +407 274 3 876344287 +5 431 3 875636099 +8 688 1 879361732 +712 625 3 874956516 +586 77 3 884065719 +457 1028 3 882393828 +450 648 5 887660503 +573 657 4 885843928 +745 515 4 880122863 +804 451 2 879446063 +567 185 5 882426899 +828 1646 4 893186124 +655 1632 3 888685759 +735 332 3 876698022 +654 144 5 887864907 +808 333 4 883949519 +537 657 3 886030966 +327 286 2 887737328 +450 715 3 887137066 +788 98 5 880868919 +250 98 5 878090365 +626 923 5 887772922 +94 469 4 891721048 +85 735 3 879454905 +632 432 3 879456910 +271 697 4 885848863 +815 182 3 878693424 +545 732 4 879899619 +451 879 4 879012580 +752 690 4 891208170 +430 101 2 877226501 +521 159 3 885253904 +543 651 3 877546306 +416 215 5 893213644 +663 363 2 889492990 +597 127 4 875340062 +543 211 4 877547441 +509 326 4 883591043 +756 55 5 875129318 +707 116 5 880059974 +694 132 5 875727640 +487 432 3 883447015 +520 240 1 885170476 +561 705 3 885808000 +276 1016 3 874786713 +92 68 3 875653699 +537 116 3 886029841 +721 196 5 877139147 +545 176 4 879899125 +648 820 2 882212131 +450 215 5 882396051 +387 33 3 886483098 +593 98 5 875661596 +296 301 5 884196284 +301 685 3 882074867 +285 357 5 890595777 +747 79 4 888640392 +330 1035 4 876547470 +588 362 3 890014710 +85 596 3 880838337 +394 96 5 880886919 +344 276 4 889814194 +655 449 3 887429732 +561 652 5 885809312 +487 144 5 883446725 +474 205 5 887924469 +551 346 4 892775547 +109 527 3 880577604 +450 900 5 885944864 +621 871 3 881445723 +602 343 2 888638022 +666 32 4 880139466 +796 367 5 893048150 +299 169 4 878192555 +629 307 5 880116722 +528 1618 1 888521905 +450 254 3 887662083 +59 425 4 888204928 +773 53 3 888540147 +233 478 5 877661437 +752 905 2 891207940 +732 690 5 882589626 +807 528 4 892530173 +606 237 4 878148365 +506 880 1 885135560 +151 606 5 879528496 +367 50 5 876689696 +806 89 5 882387756 +450 210 3 887835408 +827 347 3 892157356 +757 117 4 888444181 +694 692 4 875728729 +805 581 2 881695793 +554 215 5 876550833 +567 203 4 882426508 +543 11 3 874866116 +559 196 5 891033805 +776 486 4 892920189 +145 347 3 891509921 +532 218 5 889235367 +543 636 3 876718718 +416 1135 2 886319234 +798 384 2 875915279 +588 554 3 890032281 +537 688 1 886029153 +588 471 5 890024289 +721 264 1 877135806 +291 84 3 874868327 +823 684 4 878439391 +649 1283 2 891440528 +804 186 4 879442687 +94 368 2 891724846 +346 1039 2 874948303 +634 122 3 877017975 +336 475 4 877756934 +661 615 4 876013774 +308 1065 5 887739382 +799 45 4 879253969 +197 177 5 891409935 +101 826 3 877136686 +85 1171 3 879452638 +387 186 2 886480515 +726 1014 1 889832744 +37 1027 3 880930072 +555 195 4 879975438 +660 748 3 891197757 +95 139 4 880572250 +249 209 5 879572582 +119 277 4 874774993 +456 197 4 881373793 +639 153 3 891240752 +56 62 5 892910890 +751 62 4 889298660 +669 302 4 891182948 +778 230 2 890804025 +623 163 3 891034756 +777 205 4 875980306 +748 654 4 879454998 +456 655 3 881373838 +562 133 2 879195007 +770 919 5 875972024 +825 1047 3 880756934 +804 473 4 879443884 +684 710 5 875812109 +548 751 4 891042851 +823 1217 1 878438435 +643 399 3 891450376 +514 1047 3 876063961 +698 284 1 886368545 +399 616 1 882341881 +441 7 4 891035468 +199 539 1 883782509 +374 1101 4 880395634 +488 245 3 891292897 +64 89 3 889737376 +493 192 3 884132015 +771 241 1 880659791 +518 847 5 876823447 +814 656 3 885410957 +276 25 4 874786686 +7 214 5 891352384 +606 924 5 880921408 +437 697 4 880140978 +741 241 4 891019625 +474 248 4 887916438 +639 716 1 891240805 +682 64 5 888517011 +692 204 5 876953340 +561 31 2 885809146 +329 39 2 891656391 +506 29 2 874874894 +655 248 2 888685759 +417 767 1 879646860 +746 38 2 885075476 +378 1 4 880044251 +655 1 2 887650876 +795 219 3 883252104 +736 257 3 878708721 +655 26 3 887427338 +793 844 4 875103842 +823 502 5 878439008 +698 191 2 886367406 +656 272 3 892318343 +694 31 4 875728345 +592 289 4 882607606 +831 96 5 891354668 +794 238 5 891035135 +661 79 5 886841798 +798 839 4 875638649 +595 346 4 886920576 +63 321 3 875746917 +798 1282 3 875296234 +262 417 2 879795319 +92 934 2 875639642 +347 91 1 881654679 +488 69 4 891294209 +645 211 4 892054364 +804 121 4 879442377 +124 117 3 890287181 +804 185 4 879444890 +634 137 3 875728834 +770 25 5 875972582 +275 624 3 880313679 +429 87 3 882384821 +804 141 3 879445841 +391 234 4 877399455 +392 294 4 891037561 +397 498 4 885349955 +478 77 1 889395879 +183 431 2 891467545 +568 319 2 877906697 +696 234 4 886404617 +578 678 3 888957490 +90 527 5 891384959 +429 378 3 882386916 +790 378 3 885156934 +695 311 4 888805767 +552 591 3 879222412 +709 218 4 879848168 +601 222 4 876347039 +814 100 4 885410957 +60 96 4 883326122 +828 887 4 891033611 +577 111 4 880470604 +796 746 3 893048115 +796 855 3 893279958 +606 1199 3 878143246 +694 157 4 875729667 +181 1321 1 878962200 +151 724 4 879542270 +709 56 5 879848053 +658 181 3 875145614 +395 1 5 883765062 +213 213 5 878956300 +770 546 4 875972699 +7 671 5 891351728 +536 546 2 882318533 +618 790 3 891309471 +686 208 5 879547275 +345 738 3 884993636 +758 14 5 883287566 +588 28 5 890024051 +521 405 2 884476820 +707 133 2 886287268 +53 284 2 879442901 +637 936 4 882902487 +487 1011 3 883444768 +650 576 1 891382877 +495 234 5 888634144 +807 193 4 892529483 +459 172 5 879563902 +666 510 4 880139409 +756 423 3 874830675 +503 47 5 880472216 +829 1067 4 891990842 +246 432 3 884921511 +708 412 1 877326159 +749 826 3 878850038 +655 483 4 888685734 +745 222 2 880123126 +798 1249 4 875914785 +805 422 4 881695560 +599 845 5 880951974 +763 197 4 878918360 +378 1425 2 880056930 +521 748 3 884475618 +784 1038 3 891387704 +650 371 2 891387725 +720 302 5 891262608 +7 568 5 891352261 +815 183 5 878694381 +479 423 2 879461084 +805 470 5 881695872 +712 232 3 874956903 +823 739 4 878439582 +1 261 1 875692992 +682 699 3 888523658 +587 989 2 892871438 +586 185 2 884058860 +804 445 4 879445766 +35 326 3 875459017 +290 168 3 880474204 +761 181 5 876190072 +526 751 2 885681958 +682 281 3 888520864 +756 930 3 874830344 +653 152 2 878866951 +721 680 3 877137448 +758 271 4 884999132 +345 886 3 884900736 +666 28 3 880139381 +359 181 5 886453305 +653 674 3 880151983 +392 1007 5 891038137 +343 476 2 876403239 +373 418 5 877104235 +23 234 2 874785624 +457 318 5 882397337 +545 174 4 879899125 +581 275 3 879641787 +13 771 3 882398410 +655 1553 4 888474019 +279 21 3 875297456 +676 895 1 892685562 +13 58 4 882139966 +393 964 2 889555461 +644 322 5 889076364 +699 298 4 883278699 +790 56 4 885155150 +159 1014 4 884027206 +768 50 4 883834705 +825 369 3 880756862 +747 461 5 888639526 +665 405 3 884291300 +389 926 3 879916099 +682 779 3 888522754 +790 401 4 885157621 +741 82 3 891018400 +835 1 3 891033420 +625 181 4 891262633 +833 340 5 879818293 +833 544 1 875133458 +605 295 4 879366240 +689 111 3 876676501 +476 173 5 883364218 +679 204 3 884487191 +811 292 3 886377041 +237 58 4 879376434 +374 284 1 880393753 +344 235 3 884900423 +638 62 3 876695307 +601 131 4 876350766 +666 525 4 880139467 +146 336 5 891458193 +181 274 4 878962720 +727 202 4 883711354 +94 1046 2 891723262 +804 128 5 879441702 +725 258 4 876106729 +239 518 3 889180949 +715 826 2 875962652 +79 283 4 891271627 +144 116 4 888104258 +669 354 1 891182622 +523 1195 5 883700969 +416 315 3 889341306 +422 299 1 875129602 +183 177 5 892323452 +659 136 5 891331874 +727 38 1 883712993 +207 423 4 875774463 +782 243 3 891498381 +128 174 3 879966954 +758 282 3 881977488 +267 202 5 878972398 +222 68 4 881059876 +586 92 3 884061459 +373 12 5 877098343 +762 475 5 878719219 +556 134 5 882136252 +751 181 5 889132397 +609 408 5 886896185 +766 382 3 891310281 +770 300 5 875971612 +682 190 4 888519725 +768 1 5 883835025 +749 228 5 878848828 +749 501 4 878847209 +408 271 3 889679947 +548 295 5 891044304 +649 323 3 891440624 +537 480 4 886030622 +653 215 2 880606619 +551 28 4 892776982 +788 284 3 880869323 +354 811 5 891218091 +90 523 4 891383423 +10 499 4 877893021 +212 631 5 879303929 +452 384 2 875559398 +734 222 1 891022849 +823 31 5 878439038 +659 211 3 891384077 +804 210 5 879441372 +318 307 3 884470681 +85 221 2 879452693 +426 474 4 879442785 +695 288 4 888806120 +406 153 3 879445522 +495 79 5 888632546 +530 98 4 883784195 +747 492 4 888639060 +673 242 4 888787508 +89 736 3 879460027 +540 455 4 882157477 +234 1063 3 892079769 +279 636 5 875313387 +545 211 3 879900586 +749 250 3 878846978 +301 1230 1 882079221 +632 763 3 879459304 +468 126 3 875280214 +13 687 1 883670705 +244 708 4 880607231 +294 831 3 889242542 +790 1044 4 885158185 +666 234 3 880139323 +601 1028 2 876347557 +836 165 4 885754149 +774 537 2 888556893 +499 193 4 885599682 +233 23 5 877665324 +435 1047 3 884132315 +435 1185 1 884133371 +366 53 5 888857990 +429 430 4 882384553 +161 69 4 891171657 +707 221 4 880059749 +682 710 3 888521413 +18 175 4 880130431 +374 23 3 880395896 +101 717 3 877136928 +505 73 4 889334248 +593 118 4 875660009 +447 222 3 878854340 +659 173 4 891383412 +796 4 5 893048150 +653 300 4 889151716 +577 579 4 880475602 +2 100 5 888552084 +583 55 4 879384404 +714 50 5 892777876 +85 52 3 881705026 +766 174 3 891308968 +655 1074 3 891999461 +497 758 2 879362292 +774 293 1 888559123 +792 546 3 877910353 +699 13 4 879146941 +484 427 5 891195746 +697 295 3 882622733 +477 722 5 875941763 +765 127 5 880346722 +87 158 3 879877173 +619 144 5 885954083 +748 143 3 879454546 +645 11 4 892054278 +445 840 1 891200320 +823 210 4 878439498 +816 309 5 891711801 +753 484 5 891401757 +650 527 3 891383229 +667 880 3 891034568 +559 550 4 891035111 +207 1012 3 876109074 +694 645 4 875727143 +770 181 3 875972219 +682 619 3 888519226 +835 325 5 891032391 +698 153 2 886367586 +717 751 4 884642001 +550 252 1 883426119 +727 63 2 883713454 +13 602 4 884538634 +207 535 3 877750595 +624 358 3 891961210 +561 181 3 885807318 +450 657 4 887660504 +524 367 5 884636453 +405 1509 1 885547557 +629 322 3 880116240 +561 1149 4 885807713 +533 148 3 882902641 +605 496 5 879424600 +348 477 3 886523521 +428 271 2 892572448 +807 427 4 892528427 +385 405 2 879440961 +456 1009 5 881372160 +712 386 3 874956956 +82 235 1 876311517 +699 225 3 878882133 +320 172 4 884749227 +796 1090 4 893194992 +423 748 3 891394985 +125 388 2 892839270 +489 353 4 891449555 +693 942 2 875482396 +783 333 4 884326383 +468 96 5 875295148 +159 1048 3 880557584 +536 168 5 882359863 +694 393 3 875728952 +447 28 4 878856110 +201 715 4 884140382 +707 499 4 886287450 +435 191 4 884131200 +566 465 2 881650654 +94 181 4 885872942 +435 578 5 884132230 +752 1105 3 891207983 +275 22 3 880314528 +426 200 2 879442702 +249 242 5 879571438 +318 8 4 884495616 +496 393 1 876069951 +693 693 3 875482860 +222 78 1 878184899 +136 269 5 882693234 +711 144 2 879993871 +109 191 4 880577844 +535 381 3 879617818 +615 13 4 879449184 +733 146 3 879536001 +619 294 1 885953684 +486 1094 2 879874838 +591 732 3 891031500 +714 7 4 892777903 +487 100 5 883442105 +244 1053 2 880606993 +588 655 3 890025864 +409 486 3 881109175 +393 191 3 887745717 +766 230 3 891310444 +588 402 5 890026882 +790 52 4 885156934 +363 328 3 891493840 +684 728 2 878762243 +716 248 4 879793293 +389 59 5 880087151 +221 405 3 875244633 +494 528 3 879541245 +529 286 4 882534996 +370 494 3 879435033 +776 443 3 892920290 +770 295 4 875972290 +280 660 5 891701114 +543 303 4 875664365 +496 484 3 876065382 +461 9 5 885356112 +655 396 2 887428507 +381 443 5 892696616 +721 194 5 877138024 +751 734 1 889299637 +544 310 2 884795264 +77 154 5 884733922 +555 248 4 879963127 +521 154 2 884478119 +152 280 5 880148941 +74 307 4 888333329 +432 93 2 889415812 +658 654 4 875148059 +659 606 5 891331959 +826 1239 4 885690854 +686 182 5 879546217 +177 7 4 880130881 +593 385 4 886194041 +523 1041 4 883702411 +566 100 5 881649548 +90 211 5 891383424 +825 544 3 889021037 +782 690 4 891497793 +667 482 4 891035140 +378 58 4 880046408 +707 309 2 880684605 +796 117 5 892660283 +6 460 2 883600004 +640 369 3 886474977 +428 259 4 885943685 +648 111 5 882211886 +833 546 2 875036354 +561 451 2 885810117 +716 423 4 879795496 +738 136 4 892958170 +693 527 3 875482280 +747 997 3 888733480 +716 176 3 879795189 +445 744 2 891200272 +406 420 4 879793112 +823 191 5 878437623 +633 289 3 875324233 +407 588 4 875552964 +314 820 5 877892461 +630 983 3 885667699 +758 977 2 882055347 +225 215 5 879539789 +545 193 3 884133988 +618 421 3 891308615 +697 107 5 882622581 +537 979 2 886030317 +655 1647 3 891817435 +554 282 3 876232267 +772 321 5 877533625 +42 50 5 881107178 +483 151 2 878952582 +445 1011 1 891200320 +78 294 3 879633495 +716 111 4 879793443 +286 762 2 876522008 +188 519 4 875072972 +387 772 4 886483782 +201 81 1 884140488 +493 475 3 884130495 +524 748 2 884321592 +393 922 4 887744419 +815 357 5 878693906 +401 44 4 891032868 +644 1025 4 889076433 +437 521 4 880141164 +442 176 5 883390284 +500 257 3 883865321 +706 118 3 880997464 +387 129 5 886480583 +406 121 5 879540199 +830 413 1 891899475 +807 576 4 893081656 +458 285 4 886394423 +426 196 4 879444734 +221 485 2 875245265 +626 358 1 878771505 +347 293 5 881652709 +780 97 5 891363617 +567 847 4 882425791 +262 68 2 879794887 +805 443 5 881695196 +665 763 4 884291210 +450 88 5 882396799 +450 117 4 882397373 +593 164 4 875671861 +806 233 2 882390614 +749 1228 4 878850748 +766 127 5 891309011 +421 187 4 892241624 +721 875 3 877137527 +836 268 3 885753475 +659 50 3 891044882 +805 168 5 881704016 +264 47 5 886123472 +291 801 3 875086766 +654 1020 4 887864566 +682 654 4 888520799 +537 921 3 886031074 +838 298 3 887064476 +648 187 3 884882664 +459 25 2 879563201 +750 300 3 879446013 +601 1296 1 876346344 +537 14 4 886030108 +707 792 4 886287107 +471 404 2 889827757 +493 328 4 884129823 +796 176 5 892662523 +689 109 5 876675152 +477 49 5 875941155 +116 307 3 879864042 +506 642 4 874874000 +255 872 4 883215723 +402 1 5 876266860 +782 689 3 891498720 +234 653 3 892335108 +399 403 3 882350502 +710 318 4 882063710 +488 358 3 891293051 +206 272 5 888179565 +455 549 4 879112320 +737 127 5 884315175 +305 2 2 886324580 +839 237 3 875752317 +239 64 1 889178616 +790 771 4 885158436 +457 214 5 882548280 +716 445 3 879797221 +498 175 5 881956498 +823 7 5 878438298 +608 1101 4 880405863 +655 1005 4 887474605 +835 143 5 891033819 +659 316 4 891044849 +97 496 2 884238693 +585 529 3 891283124 +805 664 5 881697667 +363 67 1 891498038 +437 1091 3 880143392 +567 487 4 882427155 +790 566 3 885156618 +705 111 4 883427012 +128 869 3 879969064 +787 304 4 888980193 +761 1277 1 876190752 +724 361 1 883758241 +305 597 2 886324551 +308 657 4 887736696 +206 310 5 888179625 +64 271 3 889737047 +403 9 3 879786052 +840 479 4 891204385 +786 699 4 882844295 +82 475 1 884714181 +551 351 3 892775894 +759 258 4 875227686 +532 181 5 889235367 +194 393 2 879524007 +707 1018 3 886288455 +521 2 3 886063310 +551 147 4 892783525 +773 175 4 888539425 +1 45 5 875241687 +666 114 4 880567919 +210 230 3 887736323 +788 302 4 880867326 +452 52 3 888494119 +764 496 5 876244991 +712 787 3 876251366 +423 344 4 891394558 +625 380 3 891263589 +661 161 4 876013588 +707 952 3 880060724 +709 781 3 879849185 +660 250 4 891198174 +733 221 4 879535265 +271 238 4 885848408 +699 597 3 884152570 +119 286 5 874774286 +749 595 4 878850107 +529 258 4 882535091 +474 385 4 887927670 +479 629 3 879461161 +392 197 5 891038978 +230 205 3 880484476 +380 109 2 885480093 +432 845 4 889416260 +385 383 1 879449871 +387 68 4 886483099 +456 366 2 881374967 +472 172 5 892791063 +806 254 3 882387272 +747 967 3 888639318 +680 100 3 877075214 +428 286 3 885943980 +10 276 4 877891904 +453 369 2 877553051 +434 928 5 886724913 +332 983 2 887938886 +641 427 4 879370119 +595 298 4 886921166 +541 417 4 883874749 +370 134 4 879434859 +675 344 4 889488754 +674 763 5 887762799 +5 121 4 875635189 +798 563 2 875638323 +655 195 3 887473965 +774 834 1 888559013 +416 182 4 876698934 +697 129 5 882622016 +774 186 3 888556047 +796 728 3 893047691 +451 991 2 879012647 +796 1269 5 892662765 +760 819 1 875666064 +236 505 3 890116575 +16 15 5 877722001 +314 939 4 877888060 +771 707 4 880659507 +757 22 4 888466407 +775 264 4 891033071 +665 620 3 884291613 +484 829 2 891195663 +115 48 5 881171203 +840 152 4 891204160 +606 662 4 880926162 +630 409 3 885667037 +318 968 3 884496671 +654 736 5 887864757 +524 1065 1 884636646 +152 775 4 884018798 +545 391 2 883115552 +661 70 4 876017029 +536 486 4 882359652 +796 1001 2 893219180 +710 1101 4 883705436 +561 56 5 885807291 +199 9 5 883782853 +43 411 3 884029519 +763 879 3 878914901 +567 177 4 882426673 +416 1264 4 886316381 +629 327 3 880116201 +637 118 1 882904961 +406 655 3 880131704 +533 988 2 882821725 +7 470 3 891352489 +715 90 5 875964386 +526 742 3 885682562 +808 294 5 883949986 +297 215 2 875240133 +450 655 4 882377653 +749 173 5 878847740 +565 512 3 891037453 +542 433 3 886532838 +719 532 3 888449606 +450 269 5 882215617 +796 751 5 892611979 +383 182 5 891192836 +387 642 4 886483395 +655 174 3 888474456 +825 294 4 880755305 +768 1014 2 882816126 +632 276 2 879457856 +630 50 3 885666536 +727 91 4 883710396 +747 419 5 888640820 +38 410 3 892432750 +379 194 5 880525194 +343 223 5 876405735 +637 286 5 882900888 +757 588 3 888467286 +650 97 3 891383110 +627 553 3 879530967 +453 132 3 877554871 +840 845 5 891203553 +833 161 1 875224515 +763 164 4 878917850 +648 127 3 884365970 +437 378 4 880143451 +774 514 2 888555998 +790 172 4 885155540 +776 511 5 891628632 +823 1118 3 878437836 +833 156 4 875038775 +738 39 3 875350720 +541 843 4 884645883 +666 205 3 880139562 +816 258 3 891711378 +716 49 4 879797286 +83 566 4 880308099 +735 293 3 876698570 +690 431 2 881179856 +621 271 5 880226633 +43 354 4 891293957 +835 193 4 891033148 +218 466 4 881288234 +506 46 3 874874802 +299 98 4 877881229 +92 250 4 890251534 +183 62 2 891479217 +805 89 4 881694713 +358 179 4 891269666 +43 926 2 875975613 +426 432 3 879444192 +643 969 4 891446826 +826 431 5 885690636 +593 56 5 875658887 +7 566 4 891353411 +622 277 4 882590252 +653 11 2 878854145 +533 174 4 879191184 +781 127 5 879634017 +621 28 4 874965408 +767 100 5 891462560 +236 194 3 890116426 +770 253 5 875971949 +532 230 5 893118712 +782 1237 3 891497906 +738 393 3 875350944 +798 687 4 875295566 +699 1284 3 879147239 +385 219 1 879446952 +601 241 4 876350652 +605 528 5 879424273 +766 447 3 891309522 +115 284 2 881170902 +757 1210 2 888467187 +514 183 3 875462645 +301 50 5 882074647 +454 204 4 881960504 +524 618 3 884636416 +406 509 3 879540515 +740 288 4 879523187 +815 216 3 878693381 +799 50 4 879254077 +437 507 5 880140015 +745 1126 2 880123572 +741 98 5 891455516 +305 160 4 886323937 +840 423 5 891209449 +495 403 5 888634475 +756 1009 4 874827247 +788 1248 3 880871460 +643 715 5 891450210 +819 862 2 884012586 +684 734 3 878762302 +551 164 4 892776650 +366 200 5 888857990 +683 588 4 893286584 +683 887 4 893286261 +508 269 4 883766931 +638 98 3 876695560 +588 880 1 890014996 +186 820 2 879024345 +535 188 3 879618999 +722 147 3 891281158 +416 411 3 876698006 +363 234 3 891495197 +642 204 4 885602593 +650 134 5 891369520 +668 257 3 881605269 +758 512 5 881975416 +332 195 5 887939051 +354 313 3 891180399 +130 1019 4 875801530 +516 286 5 891290565 +746 523 3 885075497 +619 187 5 885953992 +480 272 4 891207539 +85 135 5 879453845 +392 189 4 891038433 +700 79 3 884494420 +650 476 2 891388080 +474 470 3 887926437 +447 56 5 878855782 +399 720 3 882348565 +743 300 4 881277267 +642 1049 3 885606271 +130 89 4 875216458 +782 1477 3 891499344 +447 156 5 878856625 +818 316 4 891870301 +117 96 5 881012530 +324 301 5 880575108 +764 11 4 876244652 +200 234 4 884129381 +711 315 4 886030353 +549 620 3 881672650 +561 921 3 885810769 +622 83 5 882592178 +324 327 4 880575002 +693 483 3 875484352 +815 524 4 878693381 +318 1204 2 884496156 +457 770 4 882547794 +507 894 5 889964162 +605 301 3 879365237 +807 405 4 892684722 +823 97 5 878439113 +580 249 5 884125243 +498 262 2 881954618 +660 62 2 891201243 +234 273 3 892336165 +455 53 1 879112415 +615 209 5 879449068 +1 48 5 875072520 +198 824 2 884206847 +42 273 3 881105817 +40 358 3 889041741 +49 93 5 888068912 +458 844 4 886394576 +833 673 4 875224039 +471 878 4 889827710 +740 938 1 879522906 +760 185 2 875667450 +716 192 3 879794870 +802 441 3 875985840 +816 343 4 891711423 +101 846 3 877135914 +748 183 4 879454584 +709 215 3 879846259 +621 410 4 880738623 +605 286 4 879365101 +555 21 4 879964265 +682 582 1 888517816 +518 276 5 876822923 +537 323 1 886029211 +747 99 5 888640524 +790 184 3 885156958 +814 185 3 885411030 +425 362 3 890346317 +280 928 5 891700850 +650 161 3 891381709 +326 498 5 879875083 +721 990 5 877137213 +13 630 2 886302261 +787 348 4 888979875 +637 149 2 882901356 +801 307 4 890332853 +256 1150 5 882152570 +463 508 4 877385125 +833 483 4 875122716 +504 298 4 887831717 +705 405 4 883427479 +779 411 3 875999002 +807 527 5 892528646 +531 690 5 887048789 +696 310 4 886403673 +805 200 5 881695244 +398 969 4 875659518 +711 99 3 879993534 +766 520 4 891309146 +451 325 3 879012721 +476 300 5 883365561 +417 444 4 880952691 +827 258 3 882201175 +667 461 4 891034913 +698 1299 2 886367775 +622 553 3 882670929 +269 831 2 891451611 +803 243 1 880055548 +733 284 2 879535129 +551 751 4 892775797 +438 864 3 879868547 +526 331 3 885681935 +643 663 4 891447747 +497 175 4 878759745 +495 1208 4 888636032 +802 300 4 875986155 +833 121 1 875133458 +487 572 1 884050940 +732 286 5 882589593 +618 785 3 891309351 +768 275 4 880135736 +22 430 4 878886607 +640 202 5 874778366 +450 180 4 882373020 +763 658 3 878915600 +474 628 4 887915414 +655 702 2 887477262 +757 685 3 888444684 +747 408 5 888639481 +788 301 2 880867855 +574 303 3 891278962 +599 260 1 880951113 +658 9 4 875145572 +830 739 4 892503093 +369 751 4 889428097 +326 391 4 879877005 +680 117 4 877075312 +545 578 4 884134936 +805 569 1 881695414 +666 945 4 880567883 +452 45 4 875265446 +711 966 5 879994390 +527 496 4 879456248 +294 597 3 889242306 +387 205 5 886480384 +476 4 4 883364143 +727 234 2 883711699 +149 678 2 883512928 +406 129 5 879539949 +378 1311 4 880332949 +746 226 4 885075434 +831 245 2 891354226 +823 33 3 878438332 +562 79 4 879196445 +654 926 4 887863981 +653 194 3 880150260 +755 259 3 882570140 +730 125 4 880310521 +776 648 3 893077100 +832 181 3 888260089 +650 288 3 891369889 +393 939 4 887745816 +642 49 4 885605909 +676 879 3 892685489 +404 323 3 883790430 +749 62 3 878849052 +694 210 4 875728293 +795 719 2 883254675 +807 1034 5 893082544 +708 846 2 892719269 +435 411 3 884132484 +835 708 5 891035078 +267 614 5 878972015 +6 242 4 883268170 +552 288 2 879221267 +609 243 1 886895886 +601 132 5 876350104 +398 235 2 875716709 +678 25 2 879544915 +751 483 5 889132849 +807 151 4 893081163 +435 1 5 884131712 +472 465 3 875982149 +591 508 4 891039616 +586 230 2 884061623 +524 393 3 884637032 +624 269 4 891961120 +734 111 3 891025993 +660 380 2 891201587 +830 69 5 891898262 +114 98 4 881259495 +707 630 3 886287608 +346 153 3 874948252 +271 47 3 885849386 +545 751 3 883115062 +810 301 5 890083124 +840 517 4 891204322 +339 168 4 891033710 +738 257 3 875348912 +632 156 3 879457437 +280 1114 4 891702199 +119 506 5 886176779 +225 194 5 879540678 +222 627 3 878183173 +534 21 4 877807905 +254 584 3 886473283 +786 318 5 882843190 +545 94 3 879900794 +255 760 1 883216185 +398 521 5 875717779 +145 642 3 875272010 +792 21 3 877910444 +659 604 4 891331916 +836 12 5 885754118 +256 526 3 882164443 +825 986 5 881185343 +87 179 4 879875649 +49 8 3 888067691 +378 417 3 880056034 +839 123 3 875752560 +805 248 4 881683074 +807 498 4 892529150 +771 275 5 880659392 +648 199 4 884368313 +490 741 4 875427629 +844 22 4 877386855 +758 385 4 881974742 +716 956 4 879796011 +406 32 5 879446639 +805 183 5 881684185 +399 380 3 882345164 +694 520 5 875726618 +650 1110 4 891388467 +201 568 3 884112245 +642 409 5 885605909 +693 282 4 875482626 +134 1 5 891732756 +749 843 3 878848998 +655 443 4 887430102 +697 748 5 882621569 +128 179 3 879967767 +788 237 4 880869584 +589 301 2 883352535 +74 245 3 888333280 +239 137 5 889178688 +742 250 3 881336006 +180 469 5 877372278 +587 351 2 892871683 +650 1118 3 891385746 +800 118 3 887646342 +403 928 3 879786008 +313 546 4 891028426 +401 582 4 891033523 +151 962 1 879524394 +608 462 4 880406552 +743 298 4 881278061 +162 147 4 877636147 +773 218 2 888540295 +843 186 2 879447170 +532 139 5 874792232 +659 481 5 891385866 +608 956 3 880405896 +634 628 4 876170992 +672 15 3 879787922 +562 141 4 879195334 +198 50 5 884204919 +387 385 3 886483150 +709 403 3 879848590 +532 316 4 888631773 +693 318 4 875482092 +429 756 2 882386711 +181 1394 1 878961847 +253 1025 3 891627878 +766 679 3 891310337 +713 689 3 888882225 +487 627 4 883531122 +840 647 5 891205004 +144 234 4 888105115 +563 403 4 880506963 +170 876 3 886190449 +711 89 5 879993997 +43 58 3 883955859 +398 591 3 875652876 +666 185 4 880139466 +178 66 4 882826868 +412 23 4 879717147 +520 100 4 885170394 +617 604 2 883788955 +708 147 4 892719246 +774 423 1 888556634 +527 153 5 879455847 +716 675 2 879796766 +655 116 2 887476999 +733 125 2 879535814 +331 506 2 877196504 +805 827 4 881695040 +496 417 1 876066465 +72 684 4 880037203 +699 181 3 878882082 +580 323 2 884124383 +753 483 5 891401712 +435 384 3 884134047 +309 690 3 877370319 +13 806 5 882140426 +254 871 2 886475682 +608 1204 2 880403606 +47 322 2 879439078 +733 1067 5 879535603 +640 68 4 874778479 +682 358 3 888518450 +711 277 5 879991476 +792 1011 3 877910730 +707 1381 3 880061346 +823 209 4 878438379 +664 160 3 876524731 +829 268 4 886631672 +579 877 1 880951594 +387 211 4 886480108 +458 189 4 886396460 +763 96 2 878918213 +669 348 1 891182572 +705 226 3 883428028 +747 29 1 888734152 +804 87 4 879442954 +454 322 2 881958782 +548 229 5 891044596 +769 824 2 885424511 +817 1 4 874815835 +535 612 4 879618385 +686 198 5 879546443 +611 346 5 891636152 +59 133 3 888204349 +487 125 5 883444736 +804 164 4 879442025 +607 474 4 883879473 +405 102 1 885548877 +363 675 3 891495849 +94 1188 3 891723525 +178 483 4 882826210 +13 675 5 882396955 +838 173 5 887065782 +807 622 3 892530656 +828 171 3 891036568 +449 763 2 879959190 +795 164 3 883253368 +802 559 2 875985840 +775 310 3 891032837 +752 270 4 891208077 +293 317 4 888906193 +577 425 2 880474808 +698 330 4 886365606 +92 466 4 875811549 +784 303 4 891387077 +551 232 5 892783365 +532 100 5 893119335 +639 59 3 891239658 +757 168 4 888468756 +724 271 2 883757834 +416 132 4 876699652 +655 65 2 887477511 +290 257 4 880731518 +636 313 5 891448155 +793 458 3 875104243 +834 269 5 890860566 +541 1315 1 884046202 +703 864 2 875242912 +738 153 4 875350223 +455 234 4 879110436 +196 13 2 881251955 +686 514 5 879545662 +798 748 5 875295521 +738 747 4 875351603 +301 157 2 882076021 +44 636 4 878348969 +286 728 3 889652740 +490 919 4 875428765 +666 471 4 880313423 +758 305 4 880672257 +601 183 4 876348674 +222 195 4 878182132 +280 167 4 891701631 +653 511 4 878854100 +286 204 3 877531941 +234 329 2 891033922 +181 1115 1 878962774 +764 756 3 876243595 +189 914 2 893265046 +487 692 5 883530434 +717 471 4 884642427 +301 363 4 882078326 +705 144 3 883427988 +836 896 3 885753506 +57 475 2 883697223 +561 503 4 885808887 +782 343 2 891498821 +744 28 3 881170416 +787 311 4 888979605 +699 455 3 878882178 +778 582 1 891232769 +271 208 4 885848916 +804 215 5 879441752 +804 33 4 879445975 +476 1180 3 883365336 +621 779 3 880740296 +846 1074 3 883950859 +797 50 5 879439314 +831 591 4 891355004 +314 70 1 877890531 +399 276 3 882510107 +761 1 1 876190094 +788 234 3 880868473 +766 419 3 891309913 +379 339 3 883031585 +698 507 4 886366611 +828 19 5 891035613 +780 508 3 891363826 +294 123 4 877819634 +188 151 3 875073909 +17 100 4 885272520 +564 50 4 888730974 +660 207 4 891199620 +807 420 3 892979368 +650 451 2 891384202 +655 133 4 888474106 +181 1323 1 878962119 +788 447 3 880870299 +619 29 1 885954238 +595 235 3 886921392 +671 568 5 884035686 +174 716 5 886513674 +805 108 3 881705082 +756 135 2 874827884 +843 452 2 879443442 +833 367 3 875123359 +109 54 3 880578286 +792 1335 4 877910353 +741 815 3 891458647 +764 323 3 876233088 +361 55 2 879441253 +694 632 4 875727399 +393 11 3 887745844 +642 1095 2 885606271 +763 237 3 878919153 +826 38 3 885690750 +344 122 1 886381985 +606 222 3 878147770 +687 748 3 884652276 +593 739 5 875672970 +465 615 3 883530991 +205 242 4 888284313 +592 293 5 882607986 +186 1033 3 879024212 +537 333 2 886028707 +763 176 4 878919116 +437 195 2 880141286 +703 259 1 875242336 +548 905 4 891044198 +663 678 2 889492140 +833 129 3 875035718 +751 380 3 889298548 +387 11 3 886480325 +567 173 4 882425630 +553 378 3 879948655 +186 887 4 891717761 +81 276 4 876533545 +825 283 2 880756224 +201 96 4 884112352 +181 1086 1 878962464 +279 514 4 875307210 +586 820 4 884057412 +246 223 5 884921033 +796 1228 4 893048713 +682 366 4 888517896 +682 568 3 888522575 +806 343 3 882384656 +599 748 4 880951144 +668 271 4 881523787 +533 257 4 882195275 +377 200 5 891299010 +804 202 4 879442079 +288 294 2 886372841 +835 393 5 891033718 +460 285 4 882912205 +814 200 4 885411204 +704 480 5 891397086 +838 596 5 887064275 +751 436 4 889135879 +697 682 2 882621523 +733 820 2 879536608 +751 405 3 889298528 +749 280 4 878847835 +179 691 3 892151331 +593 1119 5 875660823 +788 597 3 880870582 +788 73 3 880869174 +773 665 2 888540187 +363 151 4 891497076 +616 328 3 891224590 +709 89 3 879848397 +621 546 3 880738894 +336 628 3 877760374 +399 543 3 882509971 +293 163 4 888907290 +616 329 3 891224748 +846 94 4 883950711 +642 365 4 886569922 +7 186 4 891350900 +271 210 4 885848447 +298 276 2 884183833 +606 498 4 880923862 +487 318 3 883528237 +737 427 3 884314970 +712 421 4 874729935 +416 253 3 876697283 +686 528 5 879547336 +422 137 5 875129882 +571 604 3 883354886 +727 993 4 883709750 +450 1163 3 882396928 +308 507 3 887738893 +524 606 4 884634968 +642 946 2 885606581 +466 55 4 890284857 +830 82 3 891561673 +7 25 3 891352451 +378 207 4 880055002 +95 228 4 879196231 +256 796 5 882165328 +161 487 3 891171357 +833 187 5 875124348 +413 14 5 879969513 +439 307 3 882892424 +757 203 5 888445521 +750 269 4 879445755 +688 1234 5 884153712 +699 222 3 883884642 +379 712 3 880741832 +312 589 5 891698695 +605 124 3 879365748 +642 378 3 885603517 +761 261 1 876189871 +156 86 4 888185854 +704 170 3 891397086 +474 326 3 887914822 +715 455 3 875962109 +790 1132 2 885158329 +536 84 4 882363820 +328 662 3 885047593 +655 332 3 888984255 +405 943 1 885548633 +666 959 4 880139149 +846 627 4 883949594 +805 238 5 881704223 +756 418 3 874829333 +560 1405 4 879976215 +474 530 5 887926271 +567 1022 5 882426350 +674 300 3 887762296 +806 121 4 882385916 +739 216 4 886958831 +795 577 3 883254987 +506 248 2 880198305 +630 929 4 885667249 +804 205 4 879442434 +458 744 4 886394623 +774 240 1 888558787 +174 1086 5 886434047 +804 135 3 879444407 +690 742 3 881179878 +767 56 4 891462759 +664 227 3 876526718 +788 521 4 880869945 +666 423 3 880139381 +693 64 3 875482136 +778 262 4 891482843 +521 17 1 885254888 +568 493 3 877907281 +544 750 3 884795135 +730 15 4 880310264 +393 1249 4 889731329 +535 136 5 879619107 +151 1269 5 879528438 +116 340 3 879864008 +790 738 3 885158396 +158 823 2 880132941 +474 13 5 887915684 +606 100 5 878146986 +708 1117 4 892719269 +468 7 3 875280214 +729 879 3 893286299 +671 770 2 883547351 +684 781 3 878762183 +600 56 5 888451492 +399 55 2 882343171 +526 300 2 885682031 +780 887 4 891363073 +518 125 5 876823645 +389 428 3 880087461 +787 333 3 888979074 +846 57 2 883949121 +634 1 3 875728872 +653 763 1 878854906 +781 324 4 879633862 +766 188 4 891309484 +711 185 4 876278721 +682 4 3 888521599 +650 199 4 891369520 +716 205 5 879796438 +536 389 5 882360734 +215 234 4 891435655 +571 47 3 883354818 +803 748 1 880054885 +118 844 5 875385256 +130 42 4 875801422 +749 511 4 878847286 +632 161 3 879459053 +524 654 5 884634877 +67 125 4 875379643 +639 179 1 891239324 +128 715 4 879968512 +729 690 2 893286149 +1 25 4 875071805 +843 298 2 879444531 +449 1073 5 880410734 +346 1258 4 875002895 +807 143 4 892528062 +624 294 3 879792109 +738 186 4 875351773 +758 253 5 880672855 +676 916 5 892685849 +407 603 4 875044037 +440 312 5 891550404 +796 215 5 892676115 +319 261 3 889816267 +624 240 2 879793129 +230 214 4 880485573 +788 483 5 880867933 +757 265 3 888466614 +259 484 4 888720541 +690 216 4 881177302 +771 289 4 886640547 +840 732 3 891204947 +535 237 4 879617779 +160 497 4 876858346 +291 234 4 874834735 +472 1239 5 892790676 +405 626 1 885548877 +774 300 2 888555792 +579 186 3 880952237 +270 88 5 876955711 +181 828 1 878963086 +484 71 2 891194743 +648 123 4 884366184 +242 740 5 879741196 +606 652 3 880925200 +747 639 5 888732899 +263 357 5 891299573 +778 238 3 890725804 +626 268 4 878771355 +303 388 2 879544365 +658 518 4 875147873 +450 794 5 882473476 +87 273 3 879875857 +326 510 5 879876141 +720 333 4 891262669 +712 59 2 874730420 +443 358 1 883504748 +684 252 4 875812227 +531 890 1 887049341 +758 837 4 881976377 +423 591 5 891395547 +782 902 2 891497906 +655 96 3 887651060 +825 276 1 880756575 +450 951 4 882399508 +606 1047 2 880923349 +198 229 3 884209353 +308 365 3 887739915 +109 288 5 880562908 +807 584 4 892529031 +682 518 4 888517324 +235 207 4 889656132 +666 70 4 880139526 +637 124 3 882902835 +668 82 4 881702925 +639 237 1 891239296 +658 50 4 875145750 +516 212 4 891290649 +745 100 5 880122809 +615 792 4 879448632 +727 121 4 883709518 +656 338 3 892319359 +735 269 3 876698022 +64 186 4 889737691 +221 1011 4 875244792 +556 127 5 882136205 +539 963 4 879788533 +332 73 4 888360229 +201 144 4 884112245 +780 423 5 891363618 +670 657 5 877974857 +837 476 3 875722225 +566 403 3 881650654 +345 14 4 884991077 +60 131 4 883327441 +766 434 5 891309947 +778 780 3 890803133 +327 333 2 887737493 +85 526 4 879454500 +468 192 4 875291403 +670 479 5 877975594 +192 7 4 881367791 +23 235 1 874784712 +606 1010 3 878149278 +746 181 5 885075166 +813 294 1 883752051 +472 496 4 875980823 +334 238 4 891546231 +380 479 4 885478374 +566 763 4 881651045 +642 41 3 885605347 +371 77 5 880435601 +625 640 3 891999796 +727 248 5 883709207 +471 465 5 889827822 +606 1151 3 889137292 +90 65 4 891385298 +334 301 2 891544233 +621 735 4 880739654 +374 38 4 880937876 +501 1011 4 883348519 +640 778 4 886354499 +99 780 5 886780007 +712 575 3 874957053 +742 222 2 881336006 +95 495 4 888954760 +551 288 4 892775466 +406 170 3 879445599 +267 217 4 878973760 +834 744 4 890862527 +328 809 4 885048895 +276 405 3 874787044 +761 50 5 876189795 +450 568 4 882397939 +442 1188 3 883390609 +693 7 4 875483947 +256 546 4 882151088 +842 362 3 891217891 +532 496 5 893119491 +686 480 5 879547224 +442 62 2 883390641 +744 1134 3 881171482 +534 235 4 877807973 +334 19 4 891544925 +826 241 4 885690600 +474 150 5 887915188 +479 566 3 879461800 +727 210 3 883710123 +653 1028 2 880152902 +666 134 5 880567695 +389 584 4 879991512 +537 196 3 886030831 +577 29 3 880474903 +758 159 3 881977408 +417 179 4 879647749 +795 8 5 880569317 +682 339 2 888518364 +701 257 4 891447197 +293 1333 4 888905618 +772 307 4 889028773 +597 678 1 875339041 +344 273 4 884900677 +334 1048 4 891545480 +806 522 3 882388128 +226 275 3 883889764 +268 60 5 875309344 +567 1252 3 882427294 +739 1429 5 886825529 +606 121 4 878148425 +694 153 4 875728508 +758 380 4 884999133 +495 449 5 888637768 +750 688 1 879446013 +715 276 3 875962454 +661 166 5 888300194 +580 222 3 884125292 +318 133 4 884496432 +718 471 5 883348634 +647 22 5 876534131 +452 371 3 875562573 +790 941 3 885157061 +62 69 4 879374015 +194 219 2 879527865 +645 447 3 892053541 +682 420 3 888523115 +393 412 3 887745380 +293 4 4 888906489 +435 25 5 884132434 +719 23 3 888897264 +338 269 4 879437523 +543 509 3 874863734 +542 11 2 886533710 +542 97 4 886533754 +5 374 3 875636905 +307 196 3 879205470 +130 1013 4 876251287 +846 377 2 883950155 +706 25 4 880997385 +666 318 5 880139180 +405 951 1 885548877 +727 197 3 883710271 +773 1475 4 888539027 +308 141 3 887739891 +750 358 3 879446216 +457 692 4 882396989 +734 56 1 891022752 +514 234 3 876063765 +712 202 4 874730031 +588 354 5 890014930 +501 121 4 883347023 +792 844 4 877910822 +655 1506 3 887428871 +782 1389 3 891500028 +82 496 4 878769992 +307 72 3 877122721 +644 333 3 889075967 +462 866 5 886365387 +173 332 4 877557028 +648 193 4 884628607 +405 708 1 885546487 +796 203 3 892690173 +291 413 4 874834054 +11 208 4 891905032 +749 603 5 878847804 +664 154 5 876525963 +184 724 4 889909672 +295 451 4 879518864 +829 192 5 881712519 +837 845 4 875722392 +498 168 4 881958174 +588 62 2 890027865 +758 4 4 881977375 +679 710 4 884487374 +773 52 3 888538853 +499 7 4 882996793 +393 1049 4 887744688 +551 202 4 892783177 +543 12 5 875665787 +796 322 3 892611953 +700 180 3 884494278 +487 366 3 883530929 +650 141 4 891386210 +658 408 5 875145614 +537 127 5 886030622 +790 583 2 885157489 +749 633 4 878848764 +458 20 4 886394778 +535 461 3 879617663 +665 1009 4 884291936 +327 367 4 887819355 +535 778 2 879617819 +642 465 4 885603932 +847 290 4 878775523 +796 419 5 893219001 +785 423 2 879438957 +506 665 2 885135882 +299 753 5 877880852 +374 17 2 880937876 +673 268 1 888786997 +201 886 1 884110927 +26 283 3 891371437 +715 955 4 875963596 +578 258 1 888957735 +719 282 4 879358874 +683 332 3 893283997 +792 24 3 877910091 +567 134 5 882425873 +334 283 4 891544810 +774 468 2 888556968 +796 278 4 892660323 +790 265 4 885155770 +490 292 3 875428185 +161 15 2 891172284 +176 405 2 886048262 +234 219 2 892336287 +327 336 2 887737569 +487 270 5 883440572 +16 152 4 877728417 +739 526 5 886958895 +772 678 4 877533546 +655 1170 3 891585242 +521 1013 1 884476820 +472 546 4 875979041 +715 117 3 875961816 +199 14 4 883783005 +434 274 5 886724797 +293 1209 2 888908117 +782 1643 2 891499321 +836 180 5 885754200 +770 244 4 875973047 +716 504 5 879795189 +296 315 5 884196351 +633 939 4 877212045 +642 1126 1 885603495 +843 665 3 879443482 +630 31 2 885667968 +796 29 3 893048672 +613 514 4 891227236 +754 744 3 879452073 +484 315 3 883973609 +450 28 4 882377861 +610 276 4 888703766 +389 346 4 885681315 +59 228 4 888205714 +716 568 4 879796718 +844 403 3 877387825 +776 439 1 892920480 +788 781 3 880871205 +747 163 4 888733111 +128 405 4 879968859 +605 223 5 881015099 +339 173 5 891034254 +527 11 4 879456662 +399 172 3 882342537 +682 125 4 888523635 +683 690 4 893286260 +94 477 2 885870323 +624 276 5 879792446 +60 209 5 883326593 +405 501 3 885548837 +161 315 5 891169965 +370 443 5 879435369 +665 1132 2 884291662 +592 936 4 882608315 +422 5 3 879744085 +268 3 1 875743161 +760 202 3 875667834 +586 188 2 884058956 +270 475 5 876954122 +50 327 3 877052093 +835 660 4 891033986 +699 23 4 878883113 +326 378 4 879875724 +690 396 2 881177861 +132 50 3 891278774 +763 629 5 878918871 +840 135 5 891204356 +848 164 5 887043421 +503 25 4 879438685 +354 306 5 891180445 +620 969 4 889988037 +648 840 1 884367180 +610 272 4 888702815 +125 111 3 892838322 +286 202 4 877532204 +733 287 3 879535129 +833 441 1 875224352 +325 495 3 891478180 +805 33 5 881694885 +457 162 5 882548793 +249 252 2 879571998 +766 131 3 891309703 +715 27 3 875964051 +663 351 2 889491919 +125 395 3 892838687 +703 410 4 875243028 +506 393 3 874874802 +128 685 3 879968774 +676 902 4 892685740 +838 732 4 887066782 +332 9 4 887916653 +648 928 4 882212071 +642 377 3 886569809 +18 963 5 880132437 +721 175 5 877140282 +595 304 3 886920774 +550 294 3 883426119 +710 182 4 882063967 +474 141 4 887926059 +758 249 4 880672782 +648 756 2 884366939 +665 125 4 884291340 +130 426 4 875801897 +324 458 4 880575619 +694 468 4 875729270 +652 282 4 882567294 +295 71 5 879517822 +437 478 5 881002323 +823 48 5 878438642 +807 1 4 892528231 +360 199 5 880355678 +547 313 5 891282611 +308 659 3 887736532 +118 558 5 875385228 +516 194 4 891290593 +308 1169 5 887739136 +1 251 4 875071843 +396 121 5 884646235 +643 162 3 891448436 +833 160 5 875124535 +846 382 3 883948989 +694 480 4 875726759 +763 627 3 878923488 +591 202 3 891031469 +313 125 3 891017059 +605 132 5 879425432 +727 380 3 883712397 +267 92 4 878971514 +773 268 4 888538249 +694 659 4 875728181 +533 527 4 879191022 +770 289 5 875971655 +661 191 4 888300344 +670 168 3 877974549 +131 137 1 883681466 +567 12 4 882426508 +713 313 3 888882179 +394 179 5 880886919 +650 705 4 891371153 +622 222 5 882592815 +780 510 4 891363904 +554 1 3 876231938 +715 380 3 875965058 +22 210 3 878886479 +692 238 4 876953340 +790 609 2 885156773 +848 294 5 887037669 +383 657 5 891192858 +548 277 3 891415540 +622 1181 4 882670367 +698 144 2 886367586 +92 210 4 875653519 +674 685 3 887762861 +151 956 4 879542567 +798 257 4 875295842 +805 216 2 881696699 +540 300 3 882156618 +654 1016 4 887863841 +663 473 3 889492917 +719 357 4 879360583 +741 234 4 891455545 +843 238 3 879446359 +807 946 3 893081338 +454 124 4 881959960 +798 365 3 875639656 +795 381 2 883774317 +805 240 3 881705350 +719 289 2 877311150 +758 685 5 881979987 +561 403 3 885809690 +717 475 5 884642187 +840 478 3 891204627 +560 1265 3 879975194 +782 987 3 891499660 +374 39 4 880937876 +586 215 4 884066141 +843 98 3 879443668 +290 180 1 880474913 +514 154 4 875462689 +311 650 3 884364846 +722 291 4 891281228 +837 220 4 875722007 +608 694 3 880405085 +207 96 3 877847025 +332 31 4 888098205 +102 411 2 892993786 +828 57 3 891037640 +551 205 5 892776575 +10 629 4 877886722 +506 328 4 885135476 +764 176 4 876244856 +704 607 4 891397535 +524 638 2 884637914 +666 248 3 880313640 +734 604 4 891023086 +48 529 4 879434850 +716 4 2 879796046 +822 1091 1 891038627 +429 101 4 882386662 +577 436 4 880475339 +815 153 4 878695020 +144 1013 1 888104446 +125 756 4 892838424 +825 7 5 880755612 +792 476 1 877910206 +193 122 1 889127698 +85 521 3 879829471 +587 308 3 892871642 +223 984 3 891548987 +749 294 2 878846265 +474 584 5 887927728 +731 662 3 886183209 +488 304 4 891293606 +711 222 3 876185896 +601 258 5 876346344 +788 435 3 880869278 +184 488 5 889913687 +387 89 5 886483048 +815 528 5 887978255 +846 60 4 883948606 +119 89 4 874781352 +830 233 3 891561737 +533 471 4 882902330 +683 62 4 893286208 +487 249 1 884637200 +568 187 3 877907596 +541 71 5 883874716 +615 208 4 879449130 +551 809 5 892784629 +381 294 5 892698068 +796 273 2 892660856 +325 134 4 891478599 +786 70 4 882843534 +565 213 4 891037803 +763 195 4 878918360 +393 17 1 889728895 +774 521 2 888556483 +344 478 4 884901210 +90 97 5 891383987 +456 32 4 881372911 +796 781 4 893047241 +533 187 4 879438811 +666 1110 3 880314366 +711 402 4 879993674 +293 67 3 888907575 +682 12 5 888516953 +455 118 4 879109733 +711 8 5 879993707 +666 264 3 880138999 +713 347 4 888882337 +60 23 4 883326652 +640 66 4 874778345 +699 14 3 878881952 +363 89 4 891494688 +847 185 2 878939503 +468 1016 3 875280670 +648 222 5 882211258 +442 154 4 883389491 +632 183 4 879456909 +749 168 5 878847765 +838 748 3 887060972 +619 550 5 885954134 +830 100 5 891560934 +681 258 1 885409516 +806 172 3 882387373 +83 243 3 891181725 +405 529 1 885549543 +109 655 3 880577735 +385 940 3 879447089 +660 176 3 891199182 +823 144 5 878438535 +774 649 3 888556814 +405 861 1 885548275 +416 136 5 893212623 +465 651 3 883531155 +782 1315 3 891499440 +576 815 3 886985695 +763 111 2 878918871 +786 216 4 882843272 +551 761 1 892785164 +791 327 5 879447977 +354 496 3 891217109 +747 588 5 888639989 +1 195 5 876892855 +716 570 3 879797286 +810 879 5 890083124 +276 431 3 874977474 +699 308 4 879382955 +641 285 5 879370028 +807 265 5 892529076 +109 365 4 880581817 +668 358 3 881524153 +790 786 3 885157533 +766 318 5 891309522 +846 1518 2 883950186 +727 184 3 883710761 +500 238 4 883873839 +761 258 4 876189585 +724 882 1 883758267 +846 90 2 883950001 +18 81 3 880130890 +629 286 4 880115839 +567 640 4 882426927 +768 288 4 883834705 +537 652 3 886031074 +625 405 3 891273859 +200 243 3 876041719 +608 11 5 880405927 +830 511 5 891561673 +564 292 4 888718546 +727 154 3 883711567 +749 378 5 878847612 +526 307 2 885681958 +560 1073 3 879975586 +758 297 4 880672700 +416 285 2 876697165 +749 175 3 878847576 +231 50 4 888605273 +758 716 2 881978864 +745 188 3 880123540 +748 193 3 879454789 +731 97 5 886183681 +102 334 2 888295889 +780 22 4 891363969 +758 121 2 881978864 +561 427 4 885807484 +62 82 4 879375414 +450 633 5 887660440 +788 327 3 880867855 +676 173 5 892686665 +796 520 3 892662223 +828 971 4 891380167 +345 518 4 884916484 +747 580 5 888734112 +660 349 3 891197757 +560 653 4 879975529 +833 831 1 875297256 +634 240 3 877018033 +715 755 2 875964704 +588 79 4 890023722 +416 157 4 886317316 +234 479 5 892334107 +639 216 3 891239528 +564 181 4 888730974 +807 1091 3 893082703 +804 396 3 879445956 +556 493 5 882136441 +719 237 2 877917981 +498 922 5 881955432 +792 291 2 877910629 +682 234 3 888520705 +804 993 2 879441236 +553 23 5 879948806 +151 170 5 879524669 +682 578 3 888522575 +771 4 1 880659748 +823 475 5 878438297 +588 1058 2 890030656 +636 121 5 891449212 +611 336 5 891636399 +542 732 3 886533227 +727 275 3 883708927 +188 673 4 875074127 +666 176 4 880139120 +653 233 3 880151599 +328 606 3 885046244 +70 755 3 884150865 +746 399 3 885075211 +563 678 2 880506368 +362 332 5 885019537 +358 638 3 891269584 +805 660 3 881698881 +834 282 4 890863052 +663 1245 4 889492959 +506 10 2 874862734 +478 467 5 889395563 +774 741 1 888558762 +540 222 4 882157224 +588 1044 4 890025674 +648 1110 3 884881621 +221 259 4 875243990 +642 404 3 886569122 +807 177 4 892705191 +543 114 4 874864346 +585 19 3 891282808 +406 10 3 879445684 +831 181 5 891354866 +756 138 2 874830864 +766 211 4 891310009 +428 322 4 885943782 +240 751 3 885775683 +763 507 4 878918933 +655 662 2 888686011 +334 337 4 891544177 +848 1126 5 887043265 +44 480 4 878347315 +746 431 5 885075304 +716 127 5 879793293 +487 833 4 888262381 +109 431 3 880578186 +745 480 3 880123361 +535 16 4 879618532 +269 663 4 891449880 +693 215 4 875482860 +412 186 5 879717071 +638 204 5 876695917 +738 751 3 892938297 +639 87 3 891239218 +487 1410 5 883446637 +457 582 5 882548350 +751 591 1 889132375 +592 242 5 882607286 +298 419 5 884182774 +760 162 3 875668418 +301 219 4 882078955 +102 476 3 892993827 +452 461 4 875273609 +85 589 3 879453587 +834 293 3 890862974 +194 72 3 879554100 +833 205 4 875122814 +549 237 4 881672605 +178 748 4 882823460 +828 921 4 891037948 +798 403 4 875743140 +562 504 4 879196709 +435 71 3 884132208 +225 510 5 879539672 +821 180 5 874793517 +401 312 3 891031784 +758 191 5 881975853 +805 386 3 881704224 +518 829 3 876824156 +835 157 4 891033526 +731 8 2 886184681 +749 182 3 878848639 +699 121 3 878882366 +666 519 4 880139205 +619 576 4 885954261 +790 1 3 884461306 +313 147 4 891016583 +540 293 4 882157084 +795 200 3 883251581 +761 288 4 876189614 +561 494 4 885808824 +769 258 3 885422650 +795 433 4 880588141 +779 222 4 875503280 +773 1188 2 888539842 +174 155 4 886513767 +393 710 4 889554607 +405 1581 1 885548579 +216 302 5 881966913 +682 173 4 888521381 +694 614 4 875726886 +29 12 5 882821989 +445 1199 1 891200447 +472 109 4 875978686 +843 615 3 879446215 +805 40 3 881704553 +437 436 4 880143635 +648 728 2 884882078 +601 204 2 876348783 +821 97 5 874793848 +380 554 2 885479754 +89 88 4 879459980 +577 31 4 880474216 +216 50 4 880232637 +396 840 3 884646648 +848 481 3 887038527 +826 172 5 885690481 +10 478 5 877889004 +833 52 3 878078390 +148 663 5 877399018 +227 285 4 879035347 +699 211 1 878883113 +834 258 4 890860194 +504 211 4 887837739 +553 519 5 879949042 +216 184 4 880245056 +796 485 4 893279958 +593 747 4 877728878 +547 338 2 891282967 +788 183 5 880868743 +833 204 1 875039255 +346 203 4 874948139 +756 409 2 874830998 +484 216 4 891195105 +660 739 2 891201925 +352 79 4 884289693 +655 285 4 887425936 +616 323 4 891224801 +708 1061 3 892719143 +216 66 2 881428365 +91 501 2 891439130 +783 335 3 884326545 +407 239 4 875553509 +757 241 3 888466863 +647 403 4 876533657 +715 69 4 875963692 +757 202 4 888445730 +460 224 4 882911603 +834 100 4 890862311 +484 237 3 881450112 +778 195 4 890769370 +622 101 5 882592662 +585 713 4 891282808 +666 436 3 880568637 +94 658 3 891722533 +42 491 3 881106711 +92 235 3 875640338 +697 282 4 882622559 +147 898 5 885593965 +332 327 5 887916324 +724 538 2 883757537 +504 1046 4 887912298 +551 410 5 892784093 +504 294 2 887912722 +453 684 3 888205336 +500 762 4 883865532 +393 623 3 889731562 +788 69 4 880868144 +90 385 4 891385899 +852 685 3 891036435 +788 451 4 880871240 +729 354 5 893286637 +682 724 4 888517948 +588 231 4 890028987 +49 372 4 888069040 +815 623 3 878697043 +815 603 3 878694664 +751 42 5 889133429 +851 1009 2 874789084 +758 578 4 881977872 +782 991 2 891500230 +648 483 5 882212708 +201 855 4 884111873 +56 1028 4 892911227 +141 276 1 884584817 +152 740 4 880149197 +849 928 5 879695153 +527 170 3 879456637 +528 83 5 886101632 +828 269 4 891033574 +472 597 5 892791062 +787 329 4 888980193 +655 1375 3 887426008 +417 373 3 880952988 +484 29 3 891195532 +673 272 5 888786942 +342 1057 2 875318783 +798 690 4 877117972 +660 347 3 891197585 +500 780 3 883876904 +647 213 3 876534151 +367 98 5 876689932 +405 38 5 885548093 +257 57 5 879547717 +790 367 4 885156114 +660 771 2 891201984 +397 680 1 875063649 +721 688 3 877136967 +102 396 2 892993735 +835 628 3 891032930 +789 93 4 880332063 +655 125 2 887426200 +804 228 4 879441391 +796 98 5 892663090 +207 223 3 880388784 +653 121 4 878854769 +90 402 5 891385335 +567 32 5 882426644 +276 993 3 874787065 +385 484 4 879442559 +435 28 3 884131799 +788 798 2 880870827 +506 187 5 885135819 +468 367 4 875296868 +643 824 3 891449681 +23 216 4 874787204 +694 604 4 875727399 +493 91 3 884132287 +334 56 4 891546914 +637 873 1 882899608 +688 338 5 884153751 +669 490 5 892550283 +182 48 3 876436556 +830 288 1 891899475 +851 27 4 875806765 +680 285 5 877075079 +805 1232 3 881703472 +634 922 4 875728913 +649 147 4 891440214 +840 465 4 891204798 +425 124 2 878737945 +378 623 3 880333168 +524 195 2 884634849 +121 298 2 891388676 +671 147 1 884035992 +406 152 2 880131666 +313 504 5 891013859 +276 518 4 888873407 +339 404 4 891035147 +840 166 5 891204798 +763 283 4 878915600 +837 225 3 875722371 +26 252 3 891385569 +178 607 3 882826347 +168 744 5 884288058 +621 1047 3 880738080 +773 45 4 888538776 +301 4 4 882077033 +13 197 4 881515239 +805 147 5 881694286 +303 319 5 879466065 +342 216 5 875320104 +804 1178 3 879445990 +815 131 2 878698449 +119 70 3 874781829 +595 1165 1 886921748 +194 173 5 879521088 +425 976 1 878738992 +821 275 5 874792369 +291 3 3 874833936 +838 181 5 887063696 +43 222 4 883955547 +693 98 4 875483268 +450 87 5 882374059 +758 100 5 881975119 +96 183 4 884403123 +405 288 5 885544635 +837 274 4 875721989 +392 260 1 891037790 +699 820 2 880696597 +419 79 4 879435590 +472 94 5 892791063 +87 535 4 879876315 +77 96 3 884752562 +794 514 5 891035604 +60 656 4 883327018 +606 103 3 880923349 +442 204 3 883389028 +638 431 4 876695108 +418 333 5 891282520 +623 127 4 891032275 +788 699 3 880869323 +56 237 5 892679540 +694 1035 4 875728345 +659 496 5 891385258 +551 603 5 892776524 +782 872 2 891498513 +528 294 3 888520438 +639 57 3 891239862 +716 48 5 879795314 +535 45 3 879618655 +680 195 4 876816106 +222 154 3 878183747 +484 150 4 891195246 +847 826 3 878939266 +833 127 5 875035660 +566 70 4 881649563 +642 231 3 886454812 +770 282 5 875972927 +53 156 4 879442561 +560 127 5 879976071 +796 357 4 892662400 +758 221 3 881976335 +268 290 3 875742866 +618 815 4 891309552 +798 832 4 875637822 +755 343 3 882570077 +318 40 4 884497882 +727 684 4 883710948 +645 483 5 892053456 +305 166 4 886322719 +151 194 4 879524443 +323 295 3 878739519 +655 1406 3 888984325 +796 121 5 892661043 +805 148 2 881695911 +545 588 4 879901459 +782 352 1 891498513 +20 143 3 879669040 +407 127 3 875044597 +557 253 3 880485693 +605 294 4 879365219 +286 382 5 877531830 +661 751 4 886840577 +562 4 1 879196517 +588 742 4 890024002 +831 333 4 891353915 +730 117 3 880310300 +813 289 4 883752455 +699 717 1 878882511 +830 225 3 891560596 +402 276 5 876267014 +773 769 1 888540390 +351 882 5 879481589 +109 168 3 880577734 +839 260 2 875751560 +833 854 4 875038529 +639 958 4 891241052 +796 417 4 893218933 +735 126 3 876698570 +370 52 4 879434969 +707 97 4 886285876 +498 664 5 881955596 +671 117 3 875389187 +758 1159 5 881974639 +749 117 4 878846654 +751 291 3 889299155 +499 191 5 885599307 +343 53 5 876407421 +767 141 4 891462870 +682 17 3 888520923 +213 170 5 878955886 +733 16 3 879535969 +94 464 5 885873302 +643 1012 4 891445550 +424 151 2 880859722 +588 367 5 890024117 +489 319 3 891447218 +798 367 3 875743434 +844 195 3 877387825 +703 471 4 875242885 +654 275 5 887863394 +767 172 5 891462614 +497 1030 1 879363780 +738 233 3 875353678 +492 1147 1 879969670 +689 15 5 876676502 +839 257 3 875751930 +312 1298 5 891699426 +167 241 5 892738419 +191 345 4 891560753 +648 432 5 884368538 +854 186 3 882814298 +551 763 5 892784008 +246 570 1 884923592 +425 174 3 878738149 +756 399 2 874828967 +334 607 3 891546206 +637 291 4 882905183 +848 69 2 887043340 +600 231 3 888452152 +600 230 4 888451839 +656 301 3 892318648 +683 312 3 893284183 +18 529 5 880130515 +838 318 5 887067085 +758 26 4 881977108 +616 286 5 891224448 +627 62 4 879531397 +271 493 4 885848558 +486 1047 2 879875316 +586 204 3 884066723 +109 564 3 880582633 +455 298 4 882818787 +387 101 4 886479528 +194 465 3 879527513 +838 72 4 887067162 +87 808 3 879875996 +663 333 5 889491655 +253 427 5 891628229 +645 216 4 892054732 +791 328 4 879448087 +537 730 3 886031211 +506 576 4 885135954 +668 300 4 881523612 +826 50 5 885690525 +840 1065 5 891209285 +839 244 3 875751958 +694 176 5 875729146 +287 815 3 875334248 +660 272 4 891197481 +848 32 5 887042871 +805 137 5 881697713 +815 451 3 878696965 +788 540 3 880871394 +846 566 5 883948874 +537 1010 2 886030381 +69 117 4 882072748 +380 208 2 885480301 +650 1060 3 891387833 +850 204 5 883194859 +487 1425 4 884024462 +757 1188 3 888466651 +815 405 4 878692071 +806 197 4 882387728 +806 204 5 882388205 +573 182 4 885843892 +699 147 2 883279472 +392 493 4 891038945 +655 1273 2 888984386 +659 367 3 891385166 +650 1039 3 891383229 +458 190 4 886397771 +405 1584 1 885549407 +367 5 4 876689991 +451 1280 1 879012773 +502 270 2 883702043 +286 1051 4 876522261 +763 127 4 878920656 +484 79 5 891195322 +674 323 3 887762937 +655 258 2 887650944 +745 98 5 880123905 +648 40 4 884882234 +72 191 5 880036515 +704 259 2 891396904 +490 410 4 875428570 +500 387 2 883875388 +747 478 4 888639437 +666 504 4 880139120 +854 979 4 882813315 +790 1119 4 885156732 +125 21 3 892838424 +5 365 1 875637144 +836 880 4 885753506 +13 455 3 882141425 +452 856 4 885817937 +409 327 2 881104837 +65 511 4 879216567 +367 164 4 876690119 +308 519 4 887737997 +361 228 4 879441285 +397 286 4 882839517 +405 855 1 885549543 +749 132 4 878847926 +406 86 4 879793295 +843 444 2 879443442 +233 133 5 877661364 +470 181 4 879189434 +637 293 3 882902835 +606 491 4 880923799 +749 659 5 878847611 +37 833 4 880915565 +234 951 1 892334766 +715 655 4 875964203 +793 150 4 875103842 +378 275 5 880044312 +707 100 5 880059810 +746 79 5 885075165 +158 449 2 880134815 +55 121 3 878176084 +486 1011 4 879874939 +835 654 5 891033173 +545 234 3 879899905 +648 930 3 882212131 +818 912 3 891870301 +715 591 4 875962109 +782 1394 4 891498323 +222 140 1 881060062 +299 396 4 889503503 +606 138 3 880927923 +774 22 2 888556600 +627 161 2 879531302 +829 318 5 883149860 +648 413 2 882212609 +758 483 5 881975577 +459 289 4 879561679 +552 815 3 879222336 +851 1245 4 875730826 +323 93 4 878739177 +655 531 4 887473570 +405 747 1 885549309 +711 257 3 876185726 +291 772 4 874868169 +839 825 4 875752274 +459 245 3 879561731 +805 32 4 881697792 +207 117 3 875504809 +738 71 3 875350352 +682 201 4 888519365 +387 298 3 886480623 +620 409 4 889988196 +670 511 4 877975285 +230 211 5 880485181 +637 1011 1 882904961 +458 1067 5 886395311 +312 509 5 891699490 +13 307 2 881514684 +13 227 5 882397650 +653 139 2 880153123 +622 1074 2 882671185 +629 690 2 880116067 +784 328 3 891387502 +854 475 4 882812352 +497 291 3 879361707 +21 444 3 874951859 +293 245 3 888904265 +814 559 3 885411132 +569 321 4 879793103 +405 1194 1 885546201 +383 132 5 891193108 +804 203 4 879442122 +468 170 4 875301056 +782 1244 3 891499660 +601 69 3 876348987 +849 143 5 879695515 +286 955 5 877533914 +858 331 3 880932343 +847 288 4 878774722 +848 529 5 887042871 +456 546 4 881371942 +639 615 5 891240160 +749 434 4 878848369 +833 379 2 875224178 +751 381 1 889134419 +378 255 4 882642831 +573 507 5 885844638 +796 546 4 893048505 +503 1 5 879438233 +92 307 4 892655699 +851 987 1 875730601 +49 161 1 888069513 +399 102 3 882344236 +766 559 4 891310824 +749 616 3 878848612 +689 298 4 876676211 +393 122 1 889731465 +591 655 4 891031469 +786 82 4 882844096 +732 938 1 882590201 +807 450 4 893082931 +201 654 3 884113422 +837 535 1 875722246 +655 1213 2 887489282 +89 222 5 879441491 +794 221 4 891036222 +592 881 1 882607476 +543 730 3 874864346 +694 239 4 875729520 +542 585 2 886533068 +117 1165 3 881010727 +805 12 4 881695677 +654 218 2 887864330 +484 229 5 891195476 +760 125 4 875666242 +655 813 3 888474456 +504 139 3 887840589 +144 127 4 888105823 +130 1280 4 877984734 +203 1049 2 880434463 +190 546 3 891626000 +452 58 3 875261666 +747 501 5 888639362 +340 180 3 884991236 +660 222 2 891198063 +684 118 4 878760274 +854 499 4 882813537 +697 473 5 882622372 +593 371 3 875659076 +716 472 3 879794032 +432 248 4 889416352 +320 147 4 884748641 +751 755 4 889298116 +393 280 4 887744724 +405 444 3 885548385 +709 129 2 879846332 +806 144 5 882388658 +686 127 5 879545481 +197 4 3 891409981 +440 242 5 891546594 +786 520 4 882843311 +782 326 5 891498322 +813 335 2 883752417 +521 186 4 884478358 +717 106 4 884642932 +607 213 4 883880027 +826 92 4 885690636 +181 1199 1 878962675 +222 477 2 883815749 +506 211 4 874873198 +56 421 4 892677186 +606 685 3 880923349 +87 1028 4 879876946 +853 1025 4 879365360 +388 591 4 886437039 +435 679 3 884133372 +328 227 3 885047129 +621 121 3 880227385 +738 230 4 875351530 +788 712 3 880871804 +92 1042 3 875907079 +293 275 3 888904696 +698 505 2 886367750 +663 69 4 889493770 +245 596 4 888513361 +722 307 4 891280245 +618 69 4 891308176 +122 1113 5 879270677 +543 192 4 874863878 +582 369 1 882963114 +682 56 4 888519077 +454 279 4 881960330 +640 233 4 874778479 +710 187 5 882064096 +144 147 3 888104402 +378 392 3 880055636 +533 408 4 880402916 +851 693 5 875731816 +727 507 2 883710948 +768 111 3 880136139 +167 831 3 892738141 +752 289 1 891208299 +825 988 3 889020557 +846 258 3 883946284 +697 928 3 882622044 +200 94 4 884130046 +112 891 3 892439990 +782 1644 2 891500110 +642 366 4 886131707 +378 708 4 880055949 +734 83 4 891022733 +725 300 4 876106729 +801 259 3 890332986 +654 238 4 887864452 +804 662 4 879442413 +843 448 4 879443297 +708 866 5 892719143 +674 304 3 887762296 +758 482 5 881975922 +633 333 3 875567562 +766 482 3 891309117 +659 176 4 891045747 +109 576 3 880580663 +436 217 4 887771146 +301 232 4 882078287 +825 841 4 880756904 +560 845 3 879976602 +851 11 5 875731441 +31 153 4 881548110 +804 157 4 879442862 +802 445 3 875985686 +539 1211 3 879788371 +844 90 3 877387242 +690 223 4 881179069 +850 208 5 883194973 +748 179 4 879454728 +826 182 4 885690600 +224 380 4 888104188 +721 288 3 877137447 +751 168 5 888871900 +758 764 1 882054519 +695 305 3 888805797 +815 496 5 878694027 +855 283 3 879825383 +780 300 3 891362937 +294 254 3 889242937 +189 181 3 893264023 +840 1266 5 891204535 +422 219 4 879744086 +748 188 4 879455167 +752 322 1 891208261 +617 675 4 883789425 +640 22 4 874778479 +597 323 3 875339041 +782 750 4 891497793 +109 715 2 880583519 +830 194 4 891898720 +840 252 4 891203810 +805 175 5 881697229 +746 50 5 885075165 +533 77 4 879191713 +484 385 4 891195416 +807 705 4 892528918 +650 79 3 891369924 +592 281 4 882608573 +705 286 3 883426747 +146 345 4 891457538 +573 258 4 885843700 +423 286 4 891394632 +417 1090 3 879649577 +524 1093 4 884628136 +277 258 4 879544145 +465 7 5 883529916 +400 269 4 885676230 +592 1129 5 882608021 +31 303 3 881547719 +8 403 4 879362234 +303 477 3 879483827 +835 131 5 891033560 +817 358 4 874815679 +747 4 4 888733111 +833 653 4 875039558 +854 87 4 882814063 +424 115 1 880859385 +234 358 1 891034007 +824 678 3 877021121 +776 276 4 892313295 +700 168 3 884494420 +303 230 3 879483511 +786 161 4 882843534 +7 180 5 891350782 +655 371 3 887611537 +95 781 2 880572495 +381 178 4 892696291 +215 433 3 891435501 +747 302 5 888638091 +788 82 3 880870116 +846 205 5 883948141 +694 356 4 875729622 +796 282 4 892660364 +782 1609 1 891499439 +705 1228 2 883428258 +639 357 3 891239156 +470 276 5 879178619 +806 157 3 882387974 +615 736 5 879448149 +293 150 3 888904838 +531 259 1 887048789 +566 165 5 881649530 +790 748 1 884461073 +642 225 4 886569942 +632 91 3 879459187 +629 98 5 880117254 +785 1050 3 879439232 +620 951 3 889988258 +717 246 5 884715146 +665 293 4 884290728 +533 476 2 879365951 +828 325 2 891035438 +487 58 5 883446907 +591 211 4 891031469 +639 12 3 891239030 +606 845 4 878147770 +277 762 3 879543931 +653 746 5 878853936 +835 50 4 891035309 +378 951 3 880056547 +378 961 3 880055706 +787 307 4 888979074 +758 686 3 881974823 +184 813 4 889907711 +160 61 4 876861799 +635 327 5 878878752 +747 693 5 888732899 +158 562 4 880134607 +852 473 3 891036884 +706 331 5 880996945 +804 95 2 879447476 +738 603 5 892844079 +709 568 4 879848396 +615 423 5 879448672 +766 52 4 891309177 +852 408 5 891036843 +843 636 4 879443837 +624 250 4 879792623 +753 510 4 891401457 +627 697 5 879530042 +827 268 4 882201175 +293 316 3 888904392 +757 144 4 888466490 +666 632 4 880568028 +59 687 1 888206764 +796 731 3 893047320 +117 410 3 886021458 +715 288 4 875962201 +189 952 5 893264619 +677 222 4 889399171 +734 582 2 891022684 +711 193 4 879993092 +345 124 5 884900777 +707 65 4 886286004 +747 1204 4 888639102 +122 403 4 879270805 +833 154 5 875038775 +592 332 3 882607286 +230 100 4 880485856 +679 241 3 884488149 +827 313 3 892157221 +632 233 3 879459441 +798 356 3 875639236 +245 210 3 888513026 +642 383 5 886570062 +849 172 5 879695469 +710 223 4 882063766 +775 270 2 891032742 +493 124 3 884130253 +489 332 5 891447823 +840 428 4 891209547 +758 434 3 881976233 +580 258 5 884124103 +682 154 5 888521489 +399 57 4 882343260 +376 357 4 879434750 +704 172 2 891397058 +797 328 2 879439136 +682 254 2 888518871 +476 208 5 883364250 +606 435 4 880923862 +727 680 3 883708462 +641 242 5 879370299 +845 311 4 885409493 +788 125 3 880870335 +326 4 1 879876688 +689 748 5 876674637 +853 302 4 879364669 +13 507 1 882140070 +603 419 2 891957012 +463 243 1 877384970 +795 771 3 883255324 +788 744 4 880869621 +158 175 4 880135044 +774 203 2 888558447 +201 1401 2 884140670 +621 940 3 874963166 +443 313 4 883504564 +506 568 5 889979761 +578 250 2 888957735 +738 385 5 892844079 +472 810 5 875982922 +715 111 3 875962173 +308 420 4 887740216 +839 281 3 875752456 +851 272 5 891961663 +465 8 4 883530991 +648 455 3 882211685 +707 956 5 886287107 +500 301 2 888538350 +254 167 3 886474712 +841 892 3 889067182 +663 134 5 889493818 +796 1040 3 893047460 +506 770 3 874874110 +859 111 4 885776056 +807 495 4 892530792 +862 50 5 879304196 +791 50 5 879448338 +312 610 5 891698921 +757 1035 2 888469113 +846 36 2 883950665 +238 405 4 883576424 +360 56 4 880356131 +655 746 3 891999461 +197 182 3 891409935 +1 153 3 876893230 +684 596 3 875812351 +826 161 3 885690677 +436 43 2 887770300 +339 136 5 891033898 +586 295 3 884068393 +682 218 3 888520977 +856 879 3 891489450 +733 224 4 879535265 +546 181 5 885140754 +558 15 3 879436140 +530 204 4 883790833 +474 943 4 887925751 +727 109 2 883709266 +813 538 3 883752380 +773 1187 3 888540020 +724 326 4 883757671 +648 168 5 884797068 +486 1 4 879874870 +763 69 4 878915600 +738 174 5 875349968 +825 298 5 880756726 +391 471 2 877399864 +26 678 2 891349122 +820 538 3 887954906 +417 79 3 879647924 +292 50 4 881103977 +709 452 3 879848318 +863 754 3 889289067 +732 324 2 882590201 +749 245 4 878846423 +563 70 4 880506528 +784 292 4 891387315 +653 654 2 880606620 +280 228 3 891701405 +42 660 3 881108484 +706 7 3 880997412 +179 914 5 892151174 +332 356 3 888360396 +39 272 2 891400094 +815 102 3 878694028 +606 93 4 878142865 +308 182 5 887737194 +357 407 3 878952341 +642 726 2 886570131 +548 898 1 891043509 +327 507 4 887744205 +699 405 3 878882608 +532 781 5 877635505 +844 423 3 877382762 +418 750 2 891282626 +790 230 4 885155846 +536 404 4 882359838 +622 396 1 882671222 +772 332 4 877533731 +619 17 1 885954184 +852 323 3 891036039 +707 602 4 886287290 +658 488 4 875148196 +49 1075 2 888066424 +756 3 1 874829174 +666 255 4 880313423 +690 237 4 881178330 +653 597 4 878854810 +437 629 3 881002405 +766 95 3 891309421 +373 433 3 877098223 +793 109 4 875104119 +768 332 4 879523820 +201 212 4 884111899 +422 447 4 879744143 +715 232 4 875964905 +835 610 5 891034401 +272 208 4 879455176 +429 847 3 882385569 +543 663 4 874866208 +689 121 5 876676433 +661 194 5 876016667 +552 405 3 879222268 +690 234 4 881179878 +643 211 4 891447617 +776 569 3 892920403 +535 79 3 879618502 +571 194 3 883354818 +543 397 3 877547005 +633 1046 4 877212085 +786 240 1 882842762 +851 255 3 890343651 +412 211 4 879717177 +694 237 4 875728509 +846 136 3 883947861 +607 212 3 883880052 +653 193 4 878866951 +833 614 2 875131539 +381 462 4 892697442 +836 507 4 885754149 +851 544 4 874728396 +554 684 4 876550342 +722 678 3 891280443 +280 111 4 891700983 +823 233 4 878439365 +340 15 5 884991396 +391 148 3 877400062 +666 616 3 880139253 +499 153 4 885599269 +363 186 3 891494865 +405 60 1 885549589 +455 660 4 879111454 +650 69 2 891382877 +773 171 5 888538726 +582 475 5 882961000 +747 929 3 888733218 +5 189 5 878844495 +846 1411 4 883950364 +702 1127 2 885767414 +476 56 4 883365019 +690 233 3 881179968 +268 201 3 875309801 +393 184 4 889555251 +104 250 3 888465972 +632 1 3 879458692 +707 647 5 880061652 +494 86 3 879541298 +83 820 2 881971231 +639 651 4 891239349 +782 532 2 891499370 +389 588 5 879991298 +794 557 4 891036008 +436 1227 2 887772028 +587 323 4 892871284 +82 169 4 878769442 +280 385 5 891702544 +507 691 5 889964162 +452 127 5 885544109 +567 474 5 882426135 +405 727 1 885546247 +391 479 4 877399030 +802 1025 3 875984637 +355 329 3 879486421 +399 401 3 882350710 +643 1139 3 891449680 +118 258 5 875385386 +318 265 4 884495664 +102 265 3 888801622 +846 403 3 883948765 +244 1150 4 880604195 +804 675 3 879445355 +854 126 3 882812826 +390 13 2 879694409 +537 474 5 886030805 +795 742 2 880556833 +775 269 4 891032742 +158 810 4 880134759 +548 358 2 891043547 +798 465 4 876176115 +766 675 3 891308927 +368 777 2 889783586 +301 404 3 882076463 +498 83 3 881957846 +437 432 3 880140854 +830 22 5 891561673 +686 174 4 879545966 +59 633 3 888204641 +487 588 5 883446725 +445 644 3 890988205 +838 497 5 887067162 +12 228 4 879959465 +447 1326 4 878854838 +506 497 5 874873703 +14 173 4 879119579 +830 177 4 891561870 +508 234 4 883767465 +585 1558 5 891282893 +833 1214 4 875225193 +378 1053 3 880332831 +459 286 4 879561532 +643 404 4 891447959 +788 10 4 880869584 +582 293 5 882961082 +618 526 5 891308141 +308 567 4 887741329 +637 934 1 882905285 +433 293 3 880585843 +805 603 4 881696335 +676 64 5 892686563 +712 60 1 874730520 +573 347 4 885843476 +455 591 4 879109923 +714 15 3 892777197 +654 97 3 887864727 +606 12 2 880924384 +299 749 1 877618647 +398 429 4 875716829 +725 100 5 876106729 +691 478 4 875543281 +606 655 4 880926469 +417 810 3 879649178 +216 763 4 880232953 +788 53 1 880871717 +237 176 3 879376328 +749 841 3 878850768 +846 736 4 883948874 +804 1 5 879442661 +716 282 3 879793501 +850 490 5 883194859 +199 408 5 883782716 +389 945 4 880165070 +605 357 5 879426180 +397 210 4 885349825 +403 100 5 879785974 +665 109 4 884292654 +733 322 2 879536523 +230 168 4 880484616 +435 321 3 889722170 +345 65 4 884992158 +778 209 4 890769470 +391 628 4 877399864 +498 124 3 881955291 +790 572 3 885157956 +843 145 3 879443597 +479 148 2 879460354 +303 271 2 879466065 +766 674 3 891310772 +833 22 3 875122716 +450 1282 3 882394364 +489 268 2 891448453 +13 228 4 882140389 +177 642 4 880130972 +378 435 4 889665232 +216 673 4 880244779 +835 1153 4 891035309 +782 1379 3 891500028 +860 4 4 885991163 +561 673 3 885809313 +271 481 3 885848559 +623 121 4 891034129 +551 177 5 892777274 +756 1274 2 874828278 +407 756 2 876348232 +85 50 5 882813248 +435 926 3 884133972 +782 515 3 891500028 +553 1009 4 879949212 +412 150 4 879717621 +745 181 2 880122965 +743 879 4 881277656 +798 222 3 875295616 +116 315 3 886309605 +436 99 3 887770344 +825 864 3 880756725 +567 23 4 882426740 +749 231 4 878849660 +487 71 3 883530786 +472 386 5 892790953 +268 178 4 876518557 +716 526 5 879795269 +830 402 4 892503093 +360 297 4 880354484 +569 258 5 879792991 +848 152 5 887046166 +746 24 4 885075434 +642 292 2 887663326 +201 46 4 884140247 +379 141 4 880525839 +49 725 2 888069354 +712 26 2 874957053 +358 65 4 891270405 +744 238 4 881170416 +496 147 3 876064356 +508 91 4 883767246 +741 275 4 891019587 +776 22 5 891628752 +823 274 4 878439038 +694 378 3 875730313 +592 252 3 882608915 +566 684 4 881649802 +747 1067 2 888733348 +542 71 3 886533562 +22 89 5 878887680 +663 260 2 889491861 +806 24 3 882385394 +500 472 3 883865374 +642 66 5 885603740 +484 174 5 891195298 +787 259 4 888979721 +499 117 3 885599246 +627 70 4 879530408 +659 578 3 891387351 +774 258 1 888555792 +716 28 5 879794815 +667 192 5 891034947 +648 145 4 884883616 +78 25 3 879633785 +663 288 4 889491617 +328 318 5 885045740 +830 95 3 891561474 +625 168 3 891262837 +496 469 3 876065962 +585 18 2 891283124 +532 722 3 888629836 +524 498 5 884636453 +764 1221 4 876430033 +554 13 2 876232730 +826 684 3 885690600 +843 195 4 879444711 +766 951 3 891310540 +654 735 4 887864846 +845 903 4 885409493 +832 334 2 888259984 +59 662 3 888206125 +389 88 3 880613773 +854 409 2 882813421 +608 418 1 880405971 +599 276 2 880951439 +534 477 3 877807780 +683 133 5 893286208 +606 471 4 878146986 +61 269 3 891206125 +773 228 3 888539993 +472 174 5 875981595 +128 605 3 879967804 +293 469 4 888906378 +450 168 5 882376803 +407 158 2 876342927 +682 772 4 888517922 +640 180 5 874777528 +851 338 3 891961750 +707 900 4 890008041 +612 275 5 875324710 +488 707 2 891294707 +655 764 1 887431074 +682 121 4 888520799 +638 176 3 876694861 +727 265 4 883710326 +221 55 4 875245319 +595 546 4 886922069 +551 92 5 892783672 +608 742 4 880406299 +837 19 4 875721948 +529 322 4 882535383 +227 249 2 879035775 +665 9 4 884290608 +606 24 5 878143509 +795 240 2 883767338 +467 1226 4 879532744 +286 431 5 889651822 +682 47 1 888517870 +778 121 3 890803561 +588 161 4 890015580 +445 1081 1 891200447 +393 1016 5 887744688 +643 739 3 891449476 +627 802 2 879531557 +751 269 5 888871900 +373 213 4 877100061 +340 502 2 884991678 +405 545 1 885547766 +561 480 4 885807484 +774 135 3 888556600 +853 331 2 879364822 +788 218 4 880871328 +616 303 4 891224558 +727 50 4 883708951 +825 50 4 880755418 +593 106 2 875660347 +246 724 4 884922383 +853 245 3 879365091 +21 994 2 874951104 +856 678 3 891489666 +863 264 3 889289385 +436 327 5 887768694 +405 777 1 885548275 +392 50 5 891038110 +719 118 2 879360001 +846 1286 4 883948173 +642 871 3 885605835 +283 412 5 879297526 +828 753 4 891037047 +709 127 5 879847945 +592 939 3 882956510 +725 358 3 876103744 +766 493 4 891309261 +841 331 5 889066999 +843 183 5 879443800 +94 504 5 885870612 +553 56 4 879949042 +655 337 2 887433538 +660 99 2 891200704 +286 278 5 876521700 +297 228 2 875238984 +302 289 3 879436874 +561 215 3 885809872 +846 603 5 883947960 +666 856 5 880139765 +856 258 4 891489356 +755 302 4 882569771 +796 326 4 892612032 +659 131 4 891383412 +468 97 5 875288503 +757 193 4 888445521 +847 405 3 878938982 +782 1669 2 891500150 +807 612 5 892528690 +313 625 4 891030189 +696 313 3 886403672 +625 23 4 891263960 +524 414 4 884635136 +618 23 5 891306990 +774 849 1 888557482 +151 222 5 879525002 +759 298 4 875227858 +178 304 4 882823375 +798 142 3 876175427 +839 276 3 875751799 +486 327 3 879874112 +715 179 4 875963596 +826 1219 4 885690442 +606 129 3 878142865 +815 465 5 878694952 +425 343 3 890346517 +344 26 3 884901561 +308 671 4 887739014 +718 742 5 883348873 +514 13 3 876063880 +748 176 5 879454773 +381 134 5 892696347 +81 1059 3 876534366 +577 468 3 880474766 +472 742 5 883903715 +655 855 3 887428965 +807 22 5 892528470 +851 564 3 875806892 +621 578 5 874964604 +650 502 3 891387353 +766 272 4 891306880 +774 436 2 888557739 +841 748 4 889067253 +804 568 4 879442793 +380 651 3 885478292 +655 1147 3 887472767 +634 991 3 875729239 +727 378 3 883712603 +854 122 3 882813287 +857 294 3 883432251 +308 69 2 887738664 +711 420 5 879995302 +437 237 4 880140466 +727 386 2 883712805 +282 319 4 879949394 +434 151 5 886724453 +653 941 1 880153040 +850 202 4 883194737 +450 630 3 882376188 +846 674 4 883949046 +144 14 4 888104122 +864 71 3 888889389 +765 25 4 880346418 +682 566 3 888519260 +65 531 4 879218328 +249 327 4 879571489 +661 684 3 888299899 +625 498 4 891263703 +197 1420 1 891409683 +757 129 3 888444400 +545 1228 3 884134603 +346 1217 4 886274201 +804 522 3 879445190 +625 144 4 891962917 +823 659 4 878437589 +838 169 4 887067390 +85 238 2 879453965 +804 243 3 879440727 +710 192 5 882063921 +45 7 3 881008080 +863 301 4 889289240 +472 443 4 875982149 +718 546 4 883349158 +751 386 3 889299078 +655 311 3 887473702 +694 584 4 875727877 +447 1016 3 878854918 +311 645 5 884366111 +660 38 2 891201842 +167 615 5 892738277 +518 121 5 876823804 +760 50 3 875666268 +619 53 2 885954341 +798 662 3 875916187 +763 418 4 878921530 +722 458 4 891280955 +650 636 3 891370066 +763 98 4 878914968 +684 202 4 878759384 +796 393 4 893218933 +669 12 5 891517287 +690 120 1 881179469 +625 655 3 891999926 +601 210 4 876350060 +84 823 3 883452672 +653 575 1 880153406 +417 796 4 879648881 +788 76 3 880869323 +447 546 2 878854704 +806 150 4 882385563 +227 405 2 879035934 +298 820 4 884183897 +864 408 5 877214085 +682 384 2 888522073 +705 284 3 883427190 +751 748 2 887135437 +543 94 3 877550791 +183 94 3 891466863 +239 647 5 889180651 +711 143 5 879993236 +864 53 4 888891794 +865 1028 1 880144024 +648 368 2 884366748 +833 157 2 875132195 +753 499 3 891402323 +758 529 4 881979609 +551 779 4 892785399 +429 277 4 882386096 +778 738 1 891578101 +807 1483 4 892527385 +506 684 5 874873529 +297 156 4 875240090 +846 585 2 883949643 +606 307 4 888334083 +765 242 5 880345862 +841 288 3 889067046 +480 294 1 891208058 +343 154 5 876406552 +648 444 3 884883679 +544 331 3 884795516 +358 174 1 891270560 +847 238 2 878939975 +862 407 3 879303843 +672 815 4 879788819 +798 270 4 880483677 +712 623 4 874729778 +188 318 5 875072518 +683 682 1 893284032 +387 526 4 886483150 +357 687 3 878951101 +805 358 3 879971215 +16 87 4 877720916 +748 357 3 879454584 +786 234 3 882843753 +838 311 4 887060659 +403 118 5 879785974 +795 184 4 880588118 +279 550 4 880850073 +435 781 3 884133447 +693 606 4 875484584 +847 1172 1 878939803 +326 849 1 879876975 +788 1135 2 880871460 +811 304 5 886377311 +535 702 1 879619067 +848 584 3 887039531 +854 1014 3 882813315 +125 1270 3 892838977 +714 300 5 892778035 +757 423 3 888445279 +775 272 4 891032742 +864 642 3 888890432 +332 240 4 887938299 +826 188 4 885690636 +778 204 4 890726518 +807 1138 5 893084886 +825 832 3 881101246 +846 672 4 883949594 +537 338 1 886029239 +697 1160 1 882622824 +286 747 4 877533796 +798 1517 4 875743605 +703 237 5 875242787 +661 209 4 876013492 +743 222 4 881277962 +139 242 3 879537876 +567 1021 4 882425736 +752 311 3 891207983 +292 197 5 881105246 +648 15 1 884795447 +363 4 5 891494962 +475 127 4 891627857 +279 864 5 875296829 +663 742 4 889492720 +540 475 4 882156983 +370 193 4 879435168 +234 100 4 892079769 +829 250 3 882816754 +125 49 3 879455241 +598 343 2 886710795 +735 327 3 876698022 +669 258 2 891182622 +298 132 5 884182966 +417 501 3 879647540 +489 538 4 891448222 +716 412 2 879794727 +648 9 1 884795447 +524 419 1 884635031 +458 283 5 886394730 +790 191 3 885155209 +537 212 3 886032123 +727 232 3 883712780 +17 111 3 885272674 +294 268 4 889241426 +817 147 3 874815947 +268 423 2 875309859 +770 325 4 875971703 +767 176 3 891462759 +293 528 4 888906490 +254 142 3 886474489 +435 369 1 884134771 +535 511 3 879618655 +804 184 5 879441727 +255 546 3 883216902 +621 270 4 890517239 +419 50 5 879435541 +785 301 4 879438565 +515 1430 3 887658604 +618 98 5 891307494 +276 443 4 874792692 +773 100 4 888539347 +406 418 5 879793081 +834 762 4 890863072 +833 449 2 875223923 +645 427 5 892053483 +697 300 5 882621431 +337 50 5 875184413 +605 153 4 879424784 +58 313 5 884304267 +650 644 3 891371061 +645 134 5 892054364 +416 699 5 893212895 +775 331 4 891032923 +321 651 3 879441178 +757 24 4 888444616 +216 356 3 880245125 +535 213 5 879618849 +21 975 3 874951447 +288 528 4 886374286 +286 22 4 877532889 +474 131 4 887927509 +514 211 3 876067235 +851 760 4 875730418 +712 404 3 874730467 +234 125 3 892335739 +542 315 4 886532120 +334 931 1 891549513 +731 508 1 886186811 +786 183 4 882843150 +50 124 1 877052400 +758 1025 3 881295176 +741 25 3 891458428 +772 304 4 876250442 +727 775 4 883713147 +275 448 3 880314383 +308 194 5 887739257 +682 386 2 888521942 +795 1110 3 883251943 +868 204 2 877105882 +151 168 5 879528495 +103 118 3 880420002 +676 258 2 892685370 +717 282 5 884642817 +198 823 2 884206587 +42 1046 3 881108760 +786 143 4 882843039 +643 92 4 891447835 +293 663 3 888906516 +578 324 1 888957735 +437 450 3 880143040 +158 511 5 880134296 +802 56 3 875985601 +777 157 3 875980235 +718 879 2 883348355 +1 101 2 878542845 +854 273 4 882812852 +835 609 4 891034310 +784 286 3 891386988 +212 318 5 879303928 +94 417 3 891722799 +634 741 3 875728834 +830 633 4 891898661 +181 222 4 878962919 +345 1101 4 884993436 +458 250 1 886396637 +622 402 3 882670252 +122 83 5 879270327 +478 447 4 889396732 +427 328 4 879700908 +843 635 2 879443544 +733 459 4 879535440 +185 286 4 883523876 +711 1160 5 884485704 +301 318 5 882075962 +458 298 5 886396677 +832 326 4 888259121 +798 306 3 875637329 +436 340 5 887768445 +708 362 1 892718575 +434 283 3 886724505 +112 245 4 884992691 +668 752 4 890349005 +642 470 4 886206991 +851 527 5 891961663 +588 1469 3 890026705 +839 475 5 875751856 +741 202 3 891455316 +328 520 5 885045844 +312 673 5 891699426 +379 502 5 887437190 +308 653 5 887736999 +666 582 4 880139642 +532 833 4 888629804 +560 181 4 879975661 +573 22 4 885844394 +80 86 5 887401496 +867 660 4 880078723 +438 815 5 879868581 +776 661 5 893077159 +686 135 5 879547276 +585 740 4 891284588 +487 1074 1 884051840 +771 873 3 886635816 +796 427 4 892662355 +542 121 2 886532381 +851 172 5 875731567 +532 191 5 888635366 +852 118 4 891037262 +184 134 5 889909618 +579 194 5 880952271 +474 510 4 887925837 +838 480 4 887066078 +805 161 1 881694823 +655 582 2 887427131 +712 781 4 874956841 +658 1101 4 875147995 +782 1511 2 891500194 +828 1268 2 891038098 +85 357 4 879454045 +650 181 4 891371116 +313 489 4 891017372 +650 1 3 891369759 +409 530 4 881107602 +547 303 3 891282715 +796 56 5 892663009 +716 705 5 879794892 +435 108 1 884132540 +815 31 4 878695490 +314 72 2 877888996 +600 576 3 888451840 +717 358 2 884642001 +507 121 5 889965997 +756 325 3 874832132 +110 1182 2 886989566 +847 763 1 878775914 +619 295 4 885953804 +833 128 3 875123536 +548 13 1 891415677 +716 427 5 879795375 +268 588 3 875310745 +867 196 3 880079043 +201 173 3 884111360 +655 882 3 887473879 +665 215 2 884294880 +784 271 3 891387623 +457 709 5 882547856 +775 343 4 891033022 +627 51 5 879530866 +786 381 3 882843397 +758 441 3 882054797 +709 294 3 879847304 +682 659 1 888520638 +503 707 5 880382768 +334 217 2 891549805 +495 421 1 888634389 +682 991 2 888518871 +845 877 2 885409719 +70 63 3 884151168 +482 881 3 887644022 +553 197 5 879948831 +699 1068 3 879146547 +664 71 4 878090125 +682 720 4 888522699 +790 91 3 885157862 +196 762 3 881251955 +790 386 2 885158208 +864 50 5 877214085 +798 1049 3 875638150 +748 50 5 879454428 +512 273 5 888579645 +854 281 3 882813047 +627 12 4 879529819 +554 1042 3 876550610 +711 216 4 879993149 +593 1012 3 877727961 +846 519 4 883947694 +658 169 5 875147935 +786 132 5 882842946 +471 225 5 889828026 +655 512 3 887474050 +825 508 4 880756725 +417 668 2 880953014 +601 1540 2 876350017 +398 173 4 875719080 +825 1015 2 880756321 +867 480 5 880078401 +551 802 4 892784437 +703 222 4 875242704 +535 319 5 879617310 +650 228 4 891369954 +470 9 5 879178370 +727 658 5 883711720 +697 181 4 882621913 +780 172 5 891363723 +712 1469 4 874730206 +846 651 3 883948141 +859 25 4 885776056 +861 170 5 881274672 +334 154 4 891547235 +831 1 4 891354573 +805 223 5 881698139 +625 603 4 891636000 +632 684 5 879457903 +629 4 3 880117513 +694 228 4 875727306 +385 1022 3 883791570 +810 326 5 891873739 +94 69 3 885870057 +334 171 4 891546132 +44 447 4 878347598 +395 216 3 883764378 +221 121 2 875244813 +548 156 5 891044356 +867 23 5 880078723 +679 196 4 884487610 +830 227 3 891561737 +405 365 1 885545672 +391 48 4 877399171 +249 2 3 879641284 +798 29 4 875915913 +548 595 4 891416071 +865 928 1 880144368 +693 188 2 875483847 +653 97 3 878854383 +246 1039 4 884921227 +705 550 2 883428058 +454 114 3 881960330 +654 1 4 887863557 +782 1038 4 891498213 +202 195 4 879726914 +843 152 2 879446458 +405 202 4 885547221 +774 357 2 888556434 +846 601 5 883947500 +267 203 5 878972241 +319 682 3 879977089 +645 660 3 892055628 +289 742 4 876789463 +731 945 4 886183209 +179 902 1 892151064 +868 1031 1 877109535 +610 210 3 888703290 +300 1094 5 875650298 +572 124 5 879449610 +786 191 4 882843272 +434 628 1 886724873 +790 708 3 885158082 +711 568 3 879995238 +790 864 4 884462647 +276 1000 2 877935262 +225 603 5 879540649 +721 325 3 877137109 +363 120 1 891500218 +267 239 4 878972873 +334 1226 4 891545540 +276 783 1 874792143 +246 174 3 884921086 +588 51 4 890026395 +825 741 4 881343947 +119 259 4 886175571 +707 902 5 890008121 +598 312 5 886711452 +770 288 4 875971612 +434 287 5 886724359 +697 25 3 882622188 +843 159 2 879443951 +506 168 5 874874055 +765 286 5 880345862 +217 385 2 889069808 +151 208 4 879524443 +846 648 5 883948343 +610 183 4 888703749 +378 77 4 880056453 +497 195 4 879310730 +788 983 3 880871173 +530 195 3 883784105 +716 488 4 879796171 +767 506 5 891462829 +474 526 5 887927339 +221 1437 3 875245967 +659 524 4 891332158 +704 657 4 891397667 +10 59 4 877886722 +848 615 5 887037980 +455 289 3 892230574 +643 268 4 891450748 +805 154 5 881704063 +833 928 2 879818689 +523 1014 5 883700307 +330 202 5 876546948 +643 483 4 891446889 +373 941 4 877105563 +269 181 2 891448871 +418 327 1 891282836 +117 265 4 881012940 +500 69 4 883873839 +389 42 4 879991147 +854 925 2 882813179 +809 328 5 891036989 +355 306 4 879486422 +407 98 5 875044510 +788 121 4 880869469 +396 597 4 884646647 +796 615 4 892690263 +562 435 4 879195125 +804 403 3 879445739 +338 523 3 879438366 +701 50 5 891447197 +110 12 4 886987826 +545 546 3 879901281 +798 940 1 875914898 +276 820 3 874793062 +239 205 3 889181015 +639 83 4 891239790 +650 200 4 891386047 +343 234 1 876405633 +768 826 1 883835210 +588 443 3 890024876 +65 356 5 879216825 +786 15 3 882841855 +682 576 4 888522754 +648 931 2 882212609 +707 498 3 886286133 +127 228 5 884364866 +857 321 4 883432352 +690 168 3 881177376 +395 739 3 886481149 +832 471 4 888260089 +717 405 3 884642738 +773 14 5 888538620 +757 333 4 888443263 +750 881 2 879446114 +864 273 5 878179555 +591 428 4 891031500 +618 283 3 891309217 +18 956 5 880131525 +840 98 5 891204160 +796 381 3 893047208 +782 315 4 891497698 +561 71 2 885810039 +158 232 3 880134477 +624 295 3 879793511 +840 498 5 891204264 +686 181 4 879547337 +592 194 4 882955543 +537 464 4 886031506 +782 1258 2 891499440 +862 210 4 879304410 +504 773 3 887909936 +744 50 3 881172357 +532 1016 4 888636450 +575 321 3 878146540 +405 858 1 885548435 +679 70 4 884487325 +269 451 1 891450880 +557 532 5 881095916 +181 332 2 878961173 +786 465 4 882844010 +840 663 4 891204322 +265 107 1 875320398 +655 1198 3 888984538 +823 404 4 878438484 +320 240 3 884748818 +537 213 4 886031830 +795 831 2 880560971 +498 1073 3 881961496 +708 283 1 892719363 +846 193 5 883948417 +837 628 3 875722225 +843 403 2 879444934 +717 340 4 884641599 +841 270 4 889067045 +870 517 2 875680597 +805 1170 5 881700749 +804 209 3 879442538 +493 1 3 884130416 +766 431 3 891310067 +405 723 1 885546288 +535 64 5 879617531 +629 12 5 880117333 +305 486 5 886323563 +843 449 3 879444083 +48 524 3 879434723 +592 597 2 882609056 +293 97 4 888905898 +276 447 4 874792663 +571 657 4 883354992 +299 166 4 889501926 +181 1380 1 878962086 +828 1073 4 891036630 +815 96 5 878693871 +365 1 4 891303999 +505 604 5 889333598 +863 1294 4 889289618 +634 477 3 876171093 +820 289 2 887955020 +825 1291 2 889021258 +207 255 3 877845763 +843 227 3 879443908 +782 1386 3 891500066 +682 959 4 888521803 +843 205 4 879446888 +796 603 4 892662152 +472 33 5 875981829 +597 111 3 875342355 +738 511 4 875349584 +671 31 2 883546333 +655 845 2 887426446 +739 56 4 886958938 +774 254 1 888559144 +234 1021 4 892333765 +669 172 3 891517159 +722 13 2 891281876 +766 209 3 891309053 +236 655 3 890116670 +597 24 3 875341858 +757 179 4 888467855 +860 289 3 880829225 +715 1047 3 875962500 +772 313 5 889028363 +660 168 5 891199477 +527 211 4 879456289 +788 370 2 880870881 +839 1664 1 875752902 +372 44 4 876869837 +749 755 4 878848866 +577 307 3 890089564 +642 765 3 885606234 +659 204 4 891384152 +450 1303 4 887136016 +440 272 5 891546631 +843 151 2 879447007 +824 286 2 877020871 +686 12 5 879545758 +185 701 3 883524364 +308 131 4 887739383 +588 173 5 890024677 +324 270 5 880575045 +817 15 3 874815836 +233 121 4 880190627 +783 328 4 884326545 +256 554 4 882164644 +234 445 2 892334713 +541 676 3 883865063 +579 582 4 880952102 +586 121 5 884062010 +840 234 5 891204948 +109 222 4 880563471 +858 286 4 879458829 +489 751 5 891362773 +778 496 1 891234406 +707 224 4 880059876 +851 405 5 874767550 +828 301 2 893186210 +600 195 4 888451492 +823 229 3 878439211 +830 696 2 892502651 +262 418 3 879794223 +499 530 4 885599390 +268 259 3 876513675 +527 286 2 879455354 +87 27 4 879876037 +682 89 4 888522418 +549 181 4 881672241 +393 139 4 889729185 +634 1335 2 877017975 +45 151 2 881013885 +682 1090 2 888521047 +197 184 1 891409981 +495 144 4 888634070 +301 323 4 882075110 +868 398 1 877109082 +771 542 4 880659834 +271 40 1 885849558 +712 955 2 874957293 +489 1613 4 891449466 +38 501 5 892429801 +846 423 4 883949335 +299 165 4 889501890 +130 1276 4 876251312 +850 56 1 883195034 +104 127 3 888465201 +497 97 4 879310473 +749 183 5 878847286 +313 309 4 891031125 +698 283 2 886367849 +829 339 2 891992167 +64 751 2 889737047 +49 328 2 888068651 +818 1105 1 891883071 +462 136 4 886365498 +848 480 5 887040025 +145 890 2 885557505 +542 523 4 886532788 +761 222 4 876190025 +276 7 5 874786517 +115 741 3 881170065 +871 245 3 888192475 +416 509 5 893214041 +756 421 4 874829637 +796 974 3 893194740 +373 194 4 877098714 +437 292 5 880139631 +655 296 4 888474934 +532 310 4 888634802 +411 222 3 891035152 +761 1014 1 876190256 +757 205 4 888467498 +281 342 1 881200789 +22 228 4 878887810 +848 207 5 887043265 +766 504 3 891309484 +665 1061 4 884292654 +2 127 5 888552084 +825 472 5 880756442 +846 483 5 883948173 +6 298 3 883599558 +128 451 4 879967879 +394 216 3 880888063 +715 743 2 875962806 +11 54 3 891905936 +653 380 3 880151984 +749 176 4 878847954 +271 591 4 885847901 +495 202 4 888633042 +727 159 2 883712016 +293 285 5 888904632 +472 562 5 875983023 +453 48 4 877553761 +588 941 5 890026513 +607 311 4 883879971 +472 260 4 875977827 +854 79 4 882814298 +796 217 4 893218556 +62 708 3 879375912 +825 924 2 880756725 +862 505 4 879305016 +342 320 5 875318833 +805 423 1 881698175 +532 483 5 892867296 +303 773 4 879466891 +569 1197 4 879793465 +838 223 3 887065807 +357 322 3 878951101 +562 144 5 879196445 +830 651 4 891561737 +445 689 1 891199458 +846 796 1 883950524 +721 402 4 877147200 +290 596 4 880474141 +840 737 4 891205320 +830 183 4 891462467 +831 1063 4 891354668 +498 229 2 881961877 +807 679 4 892705307 +631 307 4 888465033 +279 44 1 875313514 +23 153 4 874786438 +783 345 4 884326461 +389 301 4 879916385 +59 290 3 888203750 +655 328 2 887425025 +468 180 5 875291902 +417 164 3 879648156 +862 127 5 879304196 +684 395 2 878762243 +708 274 4 877326086 +823 568 3 878439293 +786 199 4 882843006 +385 1017 3 883791666 +850 566 5 883195256 +674 315 3 887762296 +215 88 3 891436277 +460 279 2 882912316 +106 566 4 881452711 +811 294 4 886377483 +694 489 4 875727640 +683 911 3 893286346 +175 273 2 877107640 +851 240 4 875730629 +596 323 4 883538965 +269 464 3 891448283 +541 38 3 883871617 +710 1 4 882064377 +269 121 1 891451013 +709 181 4 879846375 +648 546 4 882211736 +587 313 5 892870956 +79 340 4 891271180 +378 13 3 880044609 +89 236 5 879441400 +766 1203 3 891309421 +608 207 5 880404975 +221 651 4 875245350 +870 952 3 880584584 +332 1042 4 888360396 +854 255 1 882812852 +854 291 2 882813074 +265 282 5 875320714 +554 378 4 876549808 +655 1071 2 888984293 +798 576 3 875639324 +405 1387 2 885549745 +773 204 3 888539559 +864 168 4 888888067 +773 47 4 888539512 +196 173 2 881251820 +846 1110 3 883950390 +847 434 3 878941520 +852 257 4 891036414 +764 588 5 876246409 +875 772 5 876465188 +783 260 4 884326690 +805 91 5 881695527 +867 211 3 880078484 +844 179 3 877387548 +500 300 4 883864749 +533 48 4 879191373 +18 603 3 880129388 +24 132 3 875323274 +592 730 4 882956011 +747 509 5 888639176 +503 744 2 879454442 +416 418 4 876699793 +560 1021 4 879975718 +567 647 5 882425998 +823 333 3 878439845 +664 717 1 876526555 +655 282 3 888685989 +660 100 3 891198063 +141 255 4 884585039 +707 1311 3 886287608 +775 307 4 891032989 +349 276 5 879465841 +137 1028 5 881433409 +605 143 1 879424345 +6 535 2 883600030 +32 298 5 883717581 +642 96 5 885842289 +661 189 4 876013850 +727 403 4 883712282 +343 189 4 876405697 +661 215 3 876015657 +821 181 4 874792521 +648 22 4 884628482 +727 156 4 883710326 +805 582 3 881698798 +254 62 3 886474009 +49 919 5 888066133 +605 126 5 880762240 +710 654 4 882064524 +303 833 2 879484327 +104 272 4 888441878 +497 167 2 879363111 +862 357 3 879305204 +492 193 4 879969415 +838 1115 4 887064476 +130 739 5 876252420 +699 111 3 878881875 +592 132 5 882955794 +553 153 5 879949107 +480 100 4 891207715 +789 1161 3 880332189 +415 531 5 879439684 +682 257 2 888518704 +731 56 2 886179161 +325 523 3 891478376 +463 137 2 877385237 +768 252 3 880136317 +694 528 3 875728842 +724 358 1 883757834 +664 588 3 878092569 +710 269 3 882063224 +650 187 2 891381585 +91 651 5 891439057 +846 1055 3 883949459 +694 230 4 875727143 +774 4 2 888556090 +794 24 5 891035957 +416 553 4 886317079 +565 462 4 891037692 +694 496 4 875727640 +797 781 5 879439594 +711 191 5 879993959 +21 260 2 874950972 +344 311 4 884814359 +683 915 2 893282977 +831 273 3 891354773 +709 145 3 879848319 +521 298 3 884476126 +807 127 3 892529647 +846 443 4 883948643 +606 196 4 880926759 +520 311 3 885168591 +539 372 2 879787985 +796 815 4 893047321 +160 1134 4 876768828 +876 294 4 879428145 +476 294 3 883365634 +334 896 5 891544049 +705 118 4 883427377 +429 483 5 882384821 +733 275 3 879535265 +453 196 4 877554174 +753 462 4 891401510 +601 288 1 876346515 +680 286 4 876815942 +655 403 2 891585574 +443 294 5 883504593 +716 478 4 879795735 +126 350 2 887854892 +758 202 5 881976821 +342 188 3 875318936 +582 151 4 882961133 +687 288 4 884651576 +323 993 4 878739488 +821 174 5 874793773 +727 866 3 883709710 +872 332 3 888480019 +160 150 4 876767440 +829 1018 2 881707829 +234 45 4 892079140 +472 215 4 875981968 +264 186 5 886123728 +627 205 5 879529767 +280 72 4 891702276 +680 515 4 876816268 +714 763 4 892777903 +200 742 4 876042133 +467 1012 3 879532534 +843 413 2 879443482 +32 268 5 883709797 +690 1042 4 881180035 +829 512 4 881698976 +576 475 1 887168978 +654 195 4 887864350 +757 684 4 888445864 +766 231 2 891310851 +758 554 3 882055007 +151 302 3 879523860 +579 204 3 880952201 +534 105 4 877808198 +276 148 3 874786924 +442 55 3 883390813 +831 340 4 891354000 +207 22 3 875509262 +844 71 3 877388040 +804 678 4 879440700 +788 204 3 880868644 +564 930 3 888730699 +643 50 4 891445140 +426 653 4 879442841 +303 1034 1 879544184 +846 555 2 883949508 +791 286 3 879447907 +246 1135 1 884922605 +566 219 1 881651286 +558 286 4 879435828 +864 708 3 888889863 +668 124 3 881605489 +843 416 2 879448352 +521 742 3 884477512 +347 369 4 881653300 +660 29 2 891357371 +659 58 4 891385012 +735 100 2 876698796 +450 332 4 882369964 +718 982 4 883348912 +574 262 5 891279122 +474 313 4 887914615 +620 769 4 889987706 +805 274 2 881705055 +385 217 2 879448208 +655 181 3 887425601 +875 169 5 876465025 +795 756 3 880559895 +747 282 2 888640475 +279 22 1 875296374 +845 750 3 885409719 +624 248 4 879793485 +536 164 4 882361018 +684 151 3 875810633 +279 1178 4 875744641 +804 259 4 879440700 +866 319 4 891221302 +835 216 4 891033560 +262 367 4 879792818 +834 275 3 890862648 +853 748 2 879364883 +407 508 4 876348660 +738 144 5 892844079 +679 184 4 884487491 +201 93 5 884113662 +694 449 4 875727271 +279 257 5 875295736 +608 283 4 880406623 +663 710 3 889493437 +452 132 2 875560255 +627 176 5 879531158 +6 132 5 883602422 +692 1054 3 876954197 +260 350 4 890618476 +527 197 4 879455740 +766 507 3 891309878 +682 255 3 888518722 +694 429 4 875726759 +497 1077 4 879361847 +645 673 3 892054600 +62 1130 4 879376686 +334 179 4 891546231 +854 318 5 882813825 +716 651 5 879796278 +868 738 2 877108624 +775 300 4 891032956 +234 116 2 892079434 +429 203 5 882385684 +727 783 3 883713737 +650 509 3 891372233 +429 729 2 882386684 +276 257 4 874786657 +285 194 4 890595777 +767 657 4 891462917 +2 285 5 888552084 +828 1196 2 891036492 +397 390 3 885349427 +812 1393 3 877625224 +643 470 4 891448352 +862 288 5 879302533 +298 479 5 884182685 +796 249 1 892661011 +833 208 3 875039326 +478 367 4 889396235 +868 562 2 877112440 +707 1251 4 880059647 +823 1107 3 878438332 +828 874 3 891380355 +506 90 2 874876599 +738 403 3 875351638 +777 117 5 875979380 +871 515 4 888193176 +666 432 3 880139439 +173 327 5 877557168 +543 29 2 877546306 +631 338 2 888465299 +630 7 4 885666571 +444 258 3 890246907 +470 286 4 879178216 +710 204 4 882063824 +709 161 5 879848511 +308 132 3 887737891 +393 496 5 887746119 +679 484 4 884486658 +864 208 4 888888994 +189 1315 3 893264220 +868 206 5 877108352 +560 132 3 879975485 +653 862 2 880153378 +652 538 4 882567012 +213 508 4 878870790 +387 1078 1 886483670 +104 895 2 888442507 +409 216 4 881107251 +864 1446 3 888889948 +297 92 3 875239346 +771 71 5 880659815 +860 283 4 885990998 +692 845 3 876948910 +545 202 4 879900388 +790 211 4 885156046 +457 91 4 882547302 +642 165 4 885604480 +805 83 4 881696671 +290 89 3 880473971 +393 206 3 889731329 +837 596 3 875721969 +794 847 5 891035822 +864 566 4 888889601 +653 222 3 884405596 +401 181 3 891032518 +102 117 3 888801232 +823 22 5 878438058 +854 287 3 882813143 +789 286 1 880332039 +825 742 4 880756224 +630 597 4 885667006 +5 446 4 875720845 +624 268 4 879791962 +833 191 4 875132134 +418 328 1 891282738 +397 195 3 885350381 +410 905 4 888627138 +781 64 4 879634387 +803 690 4 880055210 +782 1383 3 891499611 +798 52 3 876176979 +486 235 2 879875370 +741 48 4 891018550 +538 223 4 877107700 +798 71 3 875303589 +800 864 4 887646980 +650 430 4 891382138 +458 509 4 886397857 +608 606 5 880404693 +391 9 5 877399780 +804 105 3 879444077 +766 192 4 891309391 +757 38 3 888467038 +537 1475 2 886031786 +230 135 2 880485216 +6 462 5 883600914 +13 748 4 882140792 +402 628 3 876267067 +463 253 5 877387935 +711 173 3 879993890 +263 465 4 891299697 +707 419 3 886285968 +798 118 4 875295842 +655 605 3 887474241 +818 286 4 891870222 +474 58 4 887925977 +493 462 2 884132015 +234 378 4 892335213 +425 82 3 878738757 +823 91 3 878439365 +454 492 3 888266643 +680 25 4 876816310 +751 194 5 889297693 +748 250 5 879454383 +698 968 1 886368545 +701 272 5 891446559 +708 284 5 892719340 +618 471 3 891309041 +803 887 5 880054671 +148 190 2 877398586 +416 1428 3 886319204 +380 356 2 885480064 +758 732 4 881977057 +766 168 5 891309090 +343 568 1 876406640 +818 328 4 891870301 +92 257 2 875640273 +804 739 4 879444805 +642 554 4 885842962 +73 683 2 888792535 +821 118 3 874793218 +745 531 3 880123517 +264 98 5 886122098 +712 243 4 874956228 +654 210 5 887864350 +94 959 5 891725332 +280 584 4 891701223 +811 748 3 886377579 +255 294 2 883215406 +634 283 2 875728783 +213 218 4 878956074 +537 97 2 886031720 +699 1375 3 878882836 +429 163 4 882387599 +870 481 4 875680046 +862 215 4 879304624 +877 382 3 882677012 +23 171 5 874785809 +568 1286 4 877907327 +648 678 3 884366792 +753 50 4 891401902 +853 326 2 879364955 +843 265 3 879443865 +608 508 4 880406593 +453 184 4 877554846 +643 514 3 891446688 +868 1480 1 877111932 +1 168 5 874965478 +682 455 4 888521866 +707 8 5 886285762 +800 457 2 887646168 +612 1 4 875324876 +804 125 4 879443709 +648 179 4 884368442 +542 959 3 886532971 +320 27 3 884749384 +637 741 1 882903644 +709 727 2 879849049 +861 294 3 881274504 +381 855 3 892696291 +796 291 4 893188576 +523 508 3 883703495 +763 469 4 878915958 +488 498 3 891294707 +746 578 4 885075399 +763 162 4 878923433 +363 719 3 891498365 +747 109 5 888733274 +727 2 4 883711874 +87 692 5 879876565 +299 517 4 889502688 +786 283 4 882841906 +831 272 5 891353915 +711 217 4 879994454 +844 627 3 877388040 +799 499 4 879253969 +211 596 3 879460294 +741 288 4 891018070 +857 898 5 883432141 +774 234 2 888557683 +738 202 4 875351299 +59 15 5 888203449 +846 33 5 883948571 +495 173 5 888632180 +489 948 2 891447960 +500 768 2 883876596 +618 151 3 891309514 +692 249 3 876953681 +293 693 4 888906781 +472 358 5 892790676 +807 501 3 892529358 +13 371 3 882399385 +814 674 3 885411030 +666 200 5 880568465 +99 116 2 888469419 +450 3 4 882398220 +295 735 5 879519556 +843 217 4 879443341 +95 51 4 879198353 +577 399 4 880475269 +721 173 5 877138745 +840 496 5 891204089 +666 284 3 880313523 +796 313 4 892610692 +303 479 5 879466572 +747 596 5 888640437 +751 432 4 889134420 +405 1035 1 885548877 +606 735 5 880926610 +417 125 5 879646369 +493 168 5 884131143 +843 603 2 879446596 +96 265 5 884403758 +128 131 5 879967452 +642 13 4 886206806 +873 292 5 891392177 +327 257 2 887746728 +610 1 4 888703157 +747 301 1 888638335 +565 165 4 891037252 +851 68 3 875731722 +70 229 3 884064269 +731 478 4 886182555 +387 1110 2 886483009 +712 378 4 874730370 +792 1015 5 877910822 +496 743 2 876065190 +860 715 4 885991198 +586 809 3 884061459 +493 182 5 884130971 +387 569 2 886481737 +158 1047 4 880134261 +576 125 4 886985177 +378 173 5 880057088 +843 655 3 879447030 +468 1 5 875280395 +268 79 3 875309801 +786 588 5 882843039 +508 318 4 883767704 +782 1025 2 891498436 +326 449 3 879877039 +548 343 4 891043547 +123 182 4 879872671 +823 374 1 878438733 +779 243 4 875501402 +436 204 5 887769209 +794 751 3 891034523 +747 265 4 888639060 +821 64 5 874793649 +296 1 5 884196689 +593 276 1 875659150 +17 475 4 885272520 +827 331 3 892157376 +731 132 3 886182632 +592 1184 5 882956551 +661 300 3 876036477 +393 181 4 887743141 +496 288 2 876063810 +851 111 3 874767408 +862 193 4 879304326 +782 1663 2 891499700 +815 199 4 878694055 +497 393 4 879362858 +784 312 3 891387623 +628 242 5 880777096 +294 1014 2 889242306 +787 347 4 888979606 +817 281 4 874816007 +117 11 5 881011824 +843 208 3 879446716 +833 151 4 875036418 +342 654 4 875319745 +537 970 3 886032184 +383 180 5 891192778 +592 469 4 882955825 +843 288 4 879443544 +593 157 3 875671732 +864 693 4 888888168 +207 11 3 878104245 +662 285 5 880571005 +176 919 2 886048391 +840 169 5 891204215 +378 317 5 880056195 +506 430 4 874873703 +723 1 3 880499050 +753 199 5 891401510 +307 505 3 879205470 +655 860 3 887477386 +708 237 5 892719144 +168 1 5 884287509 +59 466 4 888204389 +659 4 3 891383917 +305 863 4 886324387 +389 477 4 880087939 +806 923 3 882389080 +840 628 4 891209285 +828 923 3 891037047 +291 631 5 874871479 +469 65 4 879524178 +234 647 3 892826411 +145 55 3 875272009 +731 480 4 886187652 +641 305 5 879369848 +561 952 3 885810192 +530 100 4 883784058 +716 492 3 879795425 +535 215 4 879619144 +126 353 5 887938392 +694 519 4 875728293 +168 763 2 884288033 +609 259 1 886895763 +727 178 4 883710123 +684 435 3 878761717 +608 1262 5 880406095 +532 226 4 892859148 +543 198 4 876896210 +392 181 5 891038137 +144 248 4 888104032 +798 155 3 875639581 +452 472 5 885816916 +758 508 4 881975962 +862 168 4 879304526 +757 128 3 888466490 +772 327 4 877533873 +393 58 3 887746734 +867 135 5 880079065 +862 1011 5 879303123 +537 26 3 886031913 +716 610 4 879795375 +826 184 3 885690677 +741 215 4 891456615 +791 269 4 879447940 +753 194 4 891401757 +804 925 4 879443946 +677 748 4 889399113 +795 265 3 881265483 +850 8 5 883195055 +629 331 3 880116067 +486 264 3 879874262 +653 510 2 880150040 +533 824 1 879366160 +118 172 5 875384751 +16 100 5 877720437 +749 465 4 878847716 +637 922 1 882902487 +710 720 3 882063649 +698 465 3 886367720 +748 699 3 879455454 +91 205 5 891438947 +864 227 4 888889510 +548 346 4 891042624 +262 65 4 879793897 +616 346 3 891224558 +43 122 2 884029709 +545 204 4 879899641 +450 717 4 887834953 +796 807 2 893047691 +677 245 5 885191403 +291 158 2 875086208 +776 135 4 891628656 +852 151 4 891036922 +299 1258 2 877878451 +587 678 2 892871438 +523 95 4 883701800 +758 605 3 881977057 +846 217 4 883950022 +880 386 3 880174995 +653 357 4 878854383 +622 100 5 882590252 +561 426 1 885810220 +823 71 3 878439008 +466 288 4 890284651 +13 323 3 882140848 +311 570 4 884365890 +196 1022 4 881251143 +325 530 4 891478376 +569 300 3 879793036 +796 315 5 892611769 +417 162 3 880951886 +851 680 3 886534717 +878 283 3 880868035 +130 188 4 876251895 +757 326 3 888443434 +650 661 3 891385206 +625 286 4 891262561 +740 300 4 879523187 +49 209 5 888068877 +92 50 5 875640148 +7 9 5 891351432 +851 363 4 875730629 +665 685 2 884290515 +796 218 3 893194607 +653 386 1 880152864 +569 284 4 879793886 +561 484 4 885807215 +254 441 3 886475831 +421 879 4 892241274 +828 347 1 891035438 +353 301 3 891401992 +515 289 1 887660131 +709 550 3 879848475 +815 250 1 878691779 +290 692 5 880474293 +684 365 4 878759820 +251 7 3 886272146 +707 488 4 886286491 +608 126 1 880405165 +195 748 2 876632518 +528 541 3 888520782 +833 50 2 875035718 +577 143 3 880474635 +130 1 5 874953595 +194 211 4 879524292 +184 56 3 889908657 +854 32 4 882813574 +730 815 3 880310490 +178 222 4 882823857 +385 512 5 880958750 +629 328 3 880116103 +840 191 4 891204160 +714 405 5 892777876 +622 866 2 882591484 +113 257 5 875935609 +606 537 2 880925074 +435 476 3 884133872 +790 1282 5 884462551 +379 257 4 880741811 +389 501 5 880087804 +792 7 4 877910822 +870 642 4 875680258 +782 297 3 891500067 +690 211 3 881177349 +232 4 4 888550130 +393 373 4 889731437 +880 824 4 880174879 +51 50 5 883498685 +661 144 5 876016580 +295 227 4 879517635 +473 242 3 878156824 +877 31 4 882678483 +833 203 5 875124299 +763 97 3 878919153 +532 107 5 893119415 +710 89 4 882063736 +207 158 3 878191798 +828 730 3 891036972 +648 563 5 884883679 +747 82 4 888639642 +173 259 3 877557239 +841 353 1 889067253 +450 557 5 882472306 +643 129 5 891445354 +112 346 5 891307980 +805 472 2 881695040 +437 1206 4 881002191 +13 382 1 882140624 +378 566 3 880045856 +711 58 4 879993028 +795 1052 3 883255477 +524 132 4 884634968 +18 382 3 880129595 +574 883 4 891279520 +498 656 3 881957999 +747 50 5 888639060 +869 412 5 884493279 +880 307 4 892958090 +702 229 4 885767775 +846 433 4 883948457 +655 256 3 887651060 +833 328 2 875035534 +271 313 4 885844583 +746 230 1 885075337 +848 204 5 887039078 +552 515 3 879221543 +642 423 3 885602506 +545 405 4 879899380 +236 88 2 890116709 +595 544 3 886921699 +83 240 1 883870084 +868 568 1 877107847 +29 312 4 882821705 +655 773 3 887430072 +815 215 5 878694820 +416 625 5 893212623 +627 521 2 879529767 +479 546 2 879460305 +707 473 4 880060820 +664 1101 3 876525002 +670 659 5 877974699 +807 358 3 892527606 +527 511 5 879456248 +648 379 1 884883724 +807 630 4 892529573 +478 327 3 889387577 +17 243 1 885166209 +851 742 5 874767519 +642 949 1 885605834 +848 318 5 887038231 +537 52 3 886030891 +871 346 3 888192859 +878 582 4 880866810 +804 584 4 879444964 +360 479 4 880356092 +792 282 3 877909931 +623 211 3 891034814 +840 66 3 891209509 +210 1028 3 887730931 +786 172 5 882843112 +336 3 1 877758935 +56 441 4 892679163 +815 125 5 878692242 +655 203 3 887476943 +737 156 5 884314693 +760 682 3 878530117 +362 313 4 885019304 +642 843 3 886569682 +450 218 4 882397224 +606 168 5 880924557 +314 997 1 877892214 +640 428 5 874778299 +424 1084 5 880859591 +846 1044 4 883950820 +749 627 2 878848951 +786 7 5 882841955 +648 1228 3 884883149 +532 1092 2 888630838 +831 266 3 891354338 +790 47 2 885156988 +844 553 4 877387242 +735 285 4 876698897 +435 665 3 884133973 +833 657 4 875123986 +664 319 4 876523133 +551 1011 5 892783177 +829 13 4 881086933 +595 293 4 886922069 +389 847 4 879915806 +839 321 1 875751470 +301 481 4 882075827 +870 566 2 882123618 +257 921 5 883982173 +312 612 5 891699263 +481 173 4 885828165 +813 342 1 883752417 +394 22 5 880886919 +682 1035 3 888523227 +642 94 2 885605909 +314 150 4 877886522 +447 293 4 878854459 +256 732 5 882165067 +551 518 4 892783212 +826 566 3 885690636 +791 319 2 879448086 +551 1059 3 892785128 +727 483 4 883710236 +450 223 3 882371732 +577 54 4 880474903 +292 117 4 881104606 +643 276 5 891445354 +399 501 2 882346851 +334 1074 2 891548979 +774 650 1 888556893 +830 613 4 891898603 +654 332 4 887863081 +585 634 4 891285491 +435 572 2 884133938 +630 988 2 885666301 +851 1132 3 875730757 +481 479 4 885828619 +823 273 3 878437890 +862 974 2 879304113 +846 231 2 883950711 +265 50 2 875320398 +823 732 5 878439183 +489 890 5 891447990 +686 467 5 879547336 +291 977 2 874834071 +653 94 2 880153494 +841 286 5 889066959 +880 299 4 892958517 +821 126 5 874792570 +622 206 1 882670899 +481 207 3 885828619 +535 83 4 879618091 +804 1188 2 879446245 +237 174 4 879376773 +367 443 4 876690119 +328 58 4 885046206 +450 499 5 882372178 +880 398 3 880167965 +834 313 5 890860566 +682 185 4 888520639 +665 926 3 884291376 +828 903 4 891380167 +401 133 4 891032847 +262 496 4 879792402 +151 4 5 879524922 +566 273 5 881650063 +334 707 4 891546153 +276 80 3 874792237 +279 29 2 879573041 +62 952 3 879372505 +703 235 1 875242885 +655 468 3 887427681 +200 245 3 884126687 +87 451 4 879876448 +815 132 5 878695278 +787 690 5 888979007 +843 578 3 879448604 +864 54 4 888891473 +830 126 5 892502421 +537 490 4 886031786 +684 225 3 875811341 +524 508 5 884322047 +477 20 4 875941888 +498 150 3 881954451 +236 370 3 890117353 +474 430 3 887925977 +345 737 3 884993418 +804 222 5 879442591 +698 433 4 886366848 +401 484 3 891032737 +871 174 5 888193176 +155 326 2 879371121 +407 45 4 875552352 +741 475 3 891018152 +880 232 4 880167806 +399 238 1 882342061 +271 51 4 885849386 +372 678 4 876869183 +37 230 4 880915942 +487 66 5 883530484 +800 304 3 887645987 +165 328 3 879525673 +622 41 3 882672060 +392 313 5 891037385 +694 127 5 875730386 +840 117 3 891209408 +506 200 4 874873112 +417 246 4 879646225 +757 566 3 888466490 +815 735 5 878695438 +825 1117 3 880756402 +782 1405 2 891499213 +822 333 4 891033747 +269 232 1 891450817 +632 174 5 879457856 +721 179 5 877141038 +450 173 5 882371526 +642 166 5 885604434 +796 717 3 893194862 +411 9 4 891035827 +252 224 4 891456738 +59 472 3 888203482 +476 73 4 883364475 +870 521 3 875679795 +223 259 3 891548920 +710 330 3 882063612 +752 294 3 891208261 +455 8 4 879111345 +707 216 3 886286092 +685 337 2 879451401 +445 79 4 890987742 +308 156 4 887738057 +474 315 5 887914615 +715 128 3 875964300 +837 283 5 875722069 +833 479 2 875039101 +542 172 4 886532265 +815 185 3 878693830 +804 771 3 879446108 +312 740 4 891699568 +457 393 3 882548583 +695 242 5 888805837 +551 26 4 892785056 +678 287 3 879544397 +749 934 3 878850333 +683 340 4 893286260 +589 873 5 883352600 +881 54 4 876539387 +690 51 3 881180543 +851 1314 1 890862741 +851 238 5 875731330 +782 990 3 891499611 +181 331 1 878961511 +448 319 5 891888099 +344 132 4 889814194 +655 212 3 887477409 +62 271 1 879371909 +486 262 1 879874017 +689 763 4 876676165 +305 197 2 886322758 +707 950 2 880061287 +588 68 5 890026705 +387 7 5 886479528 +738 209 4 875350485 +715 685 3 875962173 +635 323 3 878878714 +200 1073 3 884129542 +429 470 5 882386309 +833 512 4 875225257 +653 163 4 880151629 +844 154 3 877387052 +705 79 5 883428028 +501 221 3 883348011 +286 117 2 876521650 +648 200 2 884883476 +622 423 3 882670121 +861 1227 4 881274936 +601 56 3 876349577 +417 420 4 879648452 +832 25 2 888260157 +409 428 4 881109175 +706 288 3 880996945 +747 951 2 888640648 +363 143 2 891496667 +537 1129 1 886030051 +798 819 3 875295930 +821 1084 5 874792285 +447 55 4 878856573 +638 82 2 876694917 +846 610 4 883948221 +738 418 3 875353105 +488 1 3 891294896 +713 898 3 888882276 +212 863 2 879303863 +59 655 5 888204642 +63 79 3 875748245 +498 486 2 881957431 +643 65 4 891448786 +697 979 5 882622044 +721 330 3 877136967 +184 473 4 889908133 +638 174 5 876694861 +495 4 3 888633129 +747 1003 1 888733314 +863 270 3 889288943 +125 202 5 892836523 +197 538 3 891409535 +848 196 5 887044238 +586 655 4 884066294 +453 423 4 877554819 +567 179 5 882426135 +376 603 4 879434613 +474 286 5 887914646 +593 699 4 875671334 +450 161 5 882396245 +862 405 2 879303123 +881 133 4 876537718 +868 581 2 877109748 +521 77 3 885254338 +374 628 3 880392778 +456 4 3 881374849 +160 955 4 876862243 +535 492 4 879618742 +843 102 2 879449177 +162 7 3 877635869 +764 191 3 876244688 +380 561 2 885479519 +666 520 3 880139562 +619 363 2 885954215 +215 132 5 891435548 +826 294 4 885689918 +699 129 4 878882667 +405 1073 1 885548578 +854 117 3 882812755 +833 715 2 875133633 +200 79 5 884128499 +450 1119 4 882374332 +184 403 3 889909746 +618 234 4 891307714 +851 192 4 875731441 +880 301 4 880166557 +805 420 4 881695560 +765 248 2 880346392 +804 657 4 879445904 +291 291 5 874834054 +870 54 2 879714458 +846 622 4 883950220 +671 27 3 884036050 +457 97 5 882397699 +231 313 3 888604920 +232 690 4 880062259 +805 856 4 881698881 +664 153 4 876526152 +786 709 2 882843607 +151 663 4 879524268 +551 187 5 892776450 +650 209 3 891382032 +724 272 5 883756996 +489 1265 2 891449466 +244 153 4 880606069 +545 968 5 884134395 +691 524 5 875543153 +495 380 3 888635339 +567 198 5 882425631 +92 156 4 875656086 +881 423 4 876538726 +487 1276 2 885239896 +632 508 2 879458570 +836 429 4 885754200 +788 162 3 880869787 +41 56 4 890687472 +694 177 5 875726886 +95 99 4 888954699 +605 678 1 879366335 +92 304 4 888469716 +864 1531 3 888890690 +798 810 3 875915855 +852 546 4 891037245 +749 431 5 878848069 +865 7 5 880143425 +151 56 4 879524879 +119 125 5 874775262 +781 223 4 879634175 +655 1400 3 887427268 +694 23 3 875727926 +741 273 3 891458066 +804 363 4 879446245 +642 78 3 886570084 +640 170 5 874777583 +372 218 5 876869481 +42 97 3 881107502 +374 789 4 882158609 +852 127 4 891035544 +758 411 4 881978115 +872 258 4 888478698 +181 411 3 878963276 +416 274 4 893142100 +798 87 3 875639680 +621 540 3 874964657 +536 380 4 882360734 +879 300 3 887760802 +268 452 1 876514002 +847 1050 3 878940618 +711 451 5 879994749 +658 730 3 875147995 +514 202 4 875309414 +268 188 4 875309859 +501 1081 3 883348703 +774 402 2 888556938 +145 358 4 875273234 +210 832 3 887730264 +622 405 4 882590886 +738 470 4 875350551 +805 648 4 881696729 +830 187 2 891464054 +178 164 3 882827288 +757 288 4 888443307 +188 199 4 875071658 +405 32 1 885546025 +844 228 3 877387858 +184 272 4 889907301 +803 754 2 880054754 +13 111 5 882140588 +870 511 3 881001249 +871 27 2 888193275 +233 614 4 877661437 +255 597 4 883216958 +257 113 4 879547534 +686 48 5 879545180 +69 288 5 882027173 +693 193 4 875482092 +508 1067 4 883767665 +719 318 5 879360493 +617 447 4 883789386 +655 591 3 887426237 +782 323 3 891498512 +532 931 3 892520696 +189 418 3 893266204 +524 1126 1 884637409 +869 846 2 884492201 +767 163 4 891462560 +618 187 5 891307098 +414 690 4 884999347 +200 609 3 884129457 +758 484 5 881975814 +294 538 5 889241562 +773 588 1 888539232 +494 286 4 879540508 +83 591 4 880306745 +196 845 4 881251954 +567 100 1 882425791 +378 167 4 880333446 +286 257 3 875806837 +869 310 4 884493279 +416 657 5 893214225 +545 203 4 880347831 +593 366 4 875671255 +749 82 5 878848405 +82 338 1 884713704 +468 699 3 875287686 +486 845 4 879874995 +717 50 4 884715122 +271 707 4 885849140 +650 205 4 891370971 +564 313 4 888718415 +198 518 3 884208876 +145 546 3 875271047 +249 181 3 879571998 +851 826 4 875730719 +815 135 2 878694493 +864 70 4 888888168 +608 848 4 880403690 +256 44 4 882164893 +697 286 4 882621486 +693 199 3 883975558 +763 5 4 878920895 +624 14 5 879792623 +823 471 3 878438608 +721 457 3 877137214 +862 474 5 879304722 +758 29 3 882054935 +264 235 5 886122952 +724 989 1 883757874 +90 644 5 891384065 +303 588 5 879468459 +621 1 3 880227233 +698 294 4 886365733 +846 520 5 883947960 +435 96 5 884131822 +398 183 4 875659518 +749 480 5 878847328 +784 270 3 891387249 +707 155 3 886288598 +655 135 4 887427083 +843 79 2 879445658 +872 323 2 888480019 +90 1203 5 891385466 +360 1142 4 880354250 +665 699 4 884294374 +294 273 3 877819421 +264 742 2 886122578 +44 427 3 878348547 +747 430 4 888639437 +846 55 5 883948642 +604 100 5 883668097 +482 346 3 887644022 +580 871 4 884125135 +833 211 3 875124495 +721 69 4 877140282 +43 124 4 891294050 +837 15 3 875721869 +188 265 5 875071520 +627 1135 3 879530625 +537 273 3 886029727 +94 372 4 891723124 +659 49 3 891385438 +497 451 2 879310419 +11 718 5 891903836 +880 791 2 880174961 +591 923 4 891031116 +550 924 4 883426027 +279 1205 3 888461244 +267 98 5 878971989 +629 111 5 880117689 +624 597 3 879793129 +481 204 4 885829196 +836 875 1 885753752 +201 17 3 884112581 +716 215 5 879796046 +883 792 4 891694182 +709 210 4 879848432 +308 661 4 887736532 +867 79 4 880079142 +206 682 3 888179694 +206 332 3 888179602 +796 542 3 893219403 +200 1217 4 884130014 +773 509 4 888538995 +343 208 4 876404426 +862 187 4 879304672 +280 750 5 891700185 +483 121 2 878952692 +566 228 2 881650262 +619 323 3 885953878 +519 680 5 883248595 +299 72 3 889503305 +60 134 4 883326215 +747 558 4 888640046 +474 651 5 887927670 +855 198 4 879825613 +198 405 2 884206428 +766 378 4 891310540 +843 219 2 879443394 +814 590 2 885411749 +49 1077 4 888068057 +711 255 4 886030579 +747 427 5 888732899 +653 944 2 880152657 +239 208 3 889181015 +778 174 4 890725804 +519 340 5 883248251 +397 50 5 885349955 +774 654 2 888558284 +849 15 5 879695896 +239 238 5 889180747 +682 1011 4 888517986 +90 198 5 891383204 +795 181 4 880557060 +703 845 4 875243028 +653 291 4 878855275 +239 1115 2 889180651 +621 143 2 874965208 +788 579 3 880871804 +776 474 5 891628632 +843 588 2 879447579 +394 658 3 880889159 +878 642 3 880866971 +15 275 4 879455562 +21 635 4 874951727 +665 100 3 884290349 +753 215 5 891402272 +870 466 4 878737789 +158 174 5 880134332 +707 533 5 880060420 +6 497 4 883601088 +405 1305 1 885547644 +13 751 5 882774081 +774 1110 1 888557519 +581 253 5 879642333 +568 530 3 877907782 +757 474 3 888469045 +14 507 4 890881521 +533 203 4 879438743 +421 172 5 892241707 +774 373 2 888557557 +468 47 5 875301056 +417 182 4 879646938 +689 328 5 879211479 +796 219 4 893218453 +301 284 4 882074708 +844 690 3 877381230 +247 7 4 893081395 +851 50 5 891961663 +812 326 4 877625294 +761 688 2 876189913 +346 161 3 874950413 +841 272 4 889066780 +582 257 3 882961608 +864 526 4 888889784 +500 283 2 883865341 +535 195 4 879618288 +495 121 5 888633473 +653 328 4 884408848 +650 22 3 891369707 +834 7 4 890862974 +867 956 4 880079142 +880 651 5 880167695 +716 648 4 879796138 +815 675 2 878698831 +11 699 4 891904389 +771 313 3 886635643 +393 692 3 889554908 +823 124 4 878437925 +442 979 3 883391344 +806 286 3 882384513 +442 195 4 883390328 +832 245 3 888259984 +94 527 5 886008885 +661 568 4 888301266 +514 25 4 875463028 +648 185 5 884368485 +215 204 3 891436129 +454 117 3 888267343 +815 471 2 878692149 +832 681 2 888259984 +665 147 4 884291057 +504 969 4 887838677 +712 506 3 874730520 +843 515 3 879444801 +7 549 4 891353086 +312 152 2 891698485 +57 930 2 883698039 +593 11 4 875660482 +829 153 4 887584684 +648 357 2 884628534 +881 550 3 876539261 +846 464 2 883947778 +269 775 1 891451571 +537 132 3 886031074 +727 101 2 883711771 +588 162 5 890026339 +559 12 3 891034067 +189 133 5 893265773 +788 195 3 880868876 +862 214 3 879304834 +442 769 1 883391397 +878 427 5 880872394 +774 559 1 888557715 +271 124 4 886105886 +505 1039 4 889334004 +684 117 4 875810999 +697 121 4 882622066 +684 82 5 875812227 +665 183 4 884293933 +201 358 1 884111095 +582 300 3 882960446 +537 896 3 886028604 +711 168 4 879993318 +880 820 3 880167384 +1 123 4 875071541 +799 258 5 879253668 +655 724 3 887427600 +881 671 3 876537512 +452 195 4 875265114 +314 412 3 877892052 +430 300 3 877225239 +854 216 3 882814028 +674 151 2 887763274 +707 869 1 886289521 +522 492 4 876961190 +696 307 5 886404144 +164 407 2 889402443 +669 879 2 891182703 +629 651 5 880117163 +295 50 5 879517540 +880 295 5 892958887 +665 294 2 884289922 +655 268 3 887474077 +749 385 3 878848272 +543 521 4 874865636 +872 815 4 888479434 +875 334 4 876464800 +556 178 5 882136162 +193 79 4 889125755 +693 651 3 875482548 +846 1050 4 883949046 +796 186 3 892676114 +332 660 3 888098125 +500 210 3 883874290 +21 358 3 874951616 +711 162 5 879994875 +484 472 4 891195565 +295 83 5 879518257 +389 1007 4 879915832 +883 7 5 891754985 +660 144 3 891199856 +455 44 3 879112678 +574 213 4 891279712 +830 403 4 891561806 +184 216 4 889908539 +45 926 3 881015386 +291 172 5 874835062 +768 354 3 888798611 +554 237 3 876231570 +620 147 3 889987299 +334 521 4 891548835 +10 192 4 877891966 +870 171 4 875050698 +796 433 2 892675694 +186 330 4 891718038 +880 769 3 880241492 +671 201 3 884204509 +432 109 2 889416188 +585 83 3 891282808 +574 316 4 891279451 +524 273 3 884322113 +805 661 4 881697713 +393 1180 4 889731465 +624 831 3 879793545 +711 762 3 879991585 +750 749 3 879446271 +828 960 5 891036568 +474 97 5 887924028 +753 22 4 891401798 +453 550 3 888207161 +303 744 3 879467607 +495 86 5 888637768 +543 702 2 877550399 +784 321 3 891387249 +592 655 5 882955543 +578 272 2 888957735 +456 125 4 881372015 +561 116 4 885809146 +14 523 4 879119497 +757 173 4 888445604 +851 153 3 875806683 +804 56 3 879441371 +864 11 5 888887502 +845 1592 3 885409493 +883 144 4 892557605 +741 393 2 891040490 +880 833 4 880167288 +392 463 3 891038946 +846 524 3 883947819 +774 176 4 888557198 +677 268 5 889398907 +294 301 4 877818915 +378 606 5 880055478 +854 237 3 882812406 +790 774 4 885156904 +128 319 5 879966274 +854 15 3 882812451 +607 211 5 883879556 +739 327 5 886825529 +526 276 4 885682477 +463 1060 2 889936244 +451 874 4 879012684 +447 1315 4 878854838 +727 434 5 883710717 +660 640 1 891201223 +363 933 2 891498920 +593 591 4 877728878 +592 149 4 882607910 +810 294 5 879895233 +553 367 4 879949153 +13 239 4 882141752 +804 62 4 879445305 +92 993 4 890251516 +828 313 3 891033342 +782 533 2 891500151 +416 148 5 893212730 +299 207 3 877880394 +751 708 4 889298140 +42 559 2 881109271 +655 729 2 887476031 +682 467 3 888517364 +727 27 4 883711847 +680 273 3 877075214 +450 229 4 882474001 +863 882 4 889289570 +186 689 4 889817888 +833 550 2 887158946 +584 161 4 885778170 +868 1 4 877103320 +666 106 2 880313992 +880 80 2 880175050 +738 650 3 875351712 +877 237 4 882677827 +883 68 4 891696957 +59 480 5 888204802 +22 732 4 878886710 +678 147 4 879544882 +201 895 3 884110702 +548 257 5 891044304 +769 748 2 885422821 +588 181 5 890015608 +451 307 4 879012431 +835 673 4 891034117 +484 28 5 880937193 +682 72 3 888521540 +807 252 4 893084689 +821 100 2 874792285 +514 384 3 876067623 +58 111 4 884304638 +339 503 4 891035093 +327 718 4 887745494 +245 258 4 888513691 +105 269 4 889214193 +577 82 4 880474433 +666 269 5 880314564 +764 1012 4 876244181 +502 264 3 883702518 +326 505 3 879875271 +18 392 3 880130193 +882 193 5 879867263 +57 194 4 883698272 +435 885 3 887509396 +397 8 4 885349913 +653 81 1 880151651 +774 68 3 888557329 +804 68 3 879445975 +328 302 4 885044380 +506 542 3 874873794 +85 313 4 884820133 +660 290 4 891198549 +678 1 5 879544882 +796 210 3 892662441 +715 161 5 875964905 +758 257 5 880672700 +847 108 2 878939266 +487 596 5 883441956 +643 231 2 891450316 +757 1273 2 888467187 +533 318 5 879438849 +757 450 2 888467205 +463 283 5 877385287 +730 742 3 880310553 +716 64 5 879795314 +405 731 3 885546202 +752 258 3 891207898 +835 162 5 891033420 +126 266 5 887938392 +881 663 5 876538322 +457 62 3 882550925 +782 296 3 891500109 +880 204 5 880174652 +622 1078 3 882671160 +627 288 3 879529381 +68 9 4 876974073 +791 288 3 879447907 +216 91 4 880235546 +229 898 5 891633028 +465 132 4 883531325 +751 434 4 889297670 +846 417 4 883950129 +664 326 2 876523225 +643 639 4 891447790 +768 300 5 883835026 +815 202 4 878694341 +620 140 4 889988258 +833 663 3 875134317 +776 760 3 892920241 +807 1615 4 893084653 +873 258 3 891392818 +861 714 4 881274899 +119 121 4 874775311 +215 272 3 891434619 +347 204 4 881653830 +655 233 3 887611537 +804 196 4 879441752 +664 162 4 876525764 +392 323 3 891037769 +840 506 5 891204385 +877 270 4 882676054 +164 825 4 889402203 +201 157 4 884113453 +81 456 1 876533504 +446 268 2 879786892 +94 1209 2 891723459 +747 675 2 888640180 +747 526 5 888639642 +435 447 3 884132315 +592 292 1 882607434 +7 615 4 891351585 +606 3 5 880922084 +779 181 5 875501734 +606 385 4 880925200 +308 853 5 887736797 +663 844 2 889492841 +833 488 5 878078229 +234 207 2 892078605 +870 134 4 875050697 +90 1202 5 891385132 +416 240 1 886315446 +206 1429 1 888180018 +682 1231 2 888522612 +823 237 4 878439037 +102 841 2 888802319 +733 296 2 879535265 +457 194 5 882397058 +524 449 3 884637245 +82 100 5 876311299 +779 15 4 875501782 +174 709 4 890168554 +830 205 5 891462531 +782 680 1 891498865 +676 345 2 892685621 +127 258 5 884364017 +615 638 5 879447968 +643 28 4 891448002 +884 116 4 876858914 +798 493 3 875638514 +491 286 4 891184567 +479 294 3 879459578 +601 1084 5 876346849 +749 541 3 878850825 +882 616 4 879879807 +509 307 2 883590729 +7 488 4 891351041 +463 880 4 890452525 +754 595 2 879452073 +790 660 3 885156904 +424 15 4 880859722 +864 775 1 888891473 +782 1007 3 891500067 +164 678 4 889401432 +861 949 4 881274937 +782 1652 1 891500230 +561 475 3 885807393 +363 47 5 891496264 +706 756 4 880997412 +481 70 5 885828389 +880 841 3 880167411 +749 358 3 878846422 +256 1033 4 882152838 +629 504 4 880117719 +60 517 4 883327265 +775 345 5 891032895 +81 475 5 876533504 +206 242 3 888180049 +606 179 5 880927552 +537 48 4 886030805 +807 751 3 892527467 +393 731 3 889730227 +26 841 2 891380200 +176 268 5 886046979 +479 1028 1 879460192 +38 243 3 892429095 +825 174 5 881101782 +786 89 4 882842878 +495 796 4 888637070 +669 50 5 891517215 +747 15 4 888639780 +833 93 4 875036056 +336 959 3 877758138 +823 222 3 878438179 +709 282 5 879847945 +639 747 3 891239528 +770 151 5 875973080 +373 172 5 877098678 +552 410 3 879222070 +666 613 5 880139295 +821 405 4 874793022 +881 1118 3 876538131 +85 697 3 879829471 +145 925 4 875271047 +774 712 1 888556169 +731 204 4 886184682 +149 272 3 883512591 +810 333 5 886614819 +817 129 4 874815836 +805 197 5 881696671 +497 189 4 879309993 +95 420 4 888956001 +666 111 3 880313523 +642 1066 3 885606608 +258 328 3 885700877 +705 318 5 883518731 +476 579 2 883365385 +703 9 2 875242814 +405 860 1 885548435 +664 631 4 876525077 +751 257 4 889132542 +738 177 4 892958051 +326 135 3 879875852 +13 491 4 882140166 +59 451 5 888206049 +796 448 4 893218485 +823 240 3 878438119 +834 292 5 890860566 +883 129 5 891755088 +353 343 2 891402636 +776 706 3 892920480 +457 193 5 882397666 +435 307 5 884130744 +757 181 3 888444314 +644 988 4 889076475 +788 429 3 880868919 +537 98 3 886030583 +187 241 3 879465858 +201 134 4 884113772 +749 1274 2 878850212 +752 301 4 891208077 +745 124 5 880122775 +222 246 4 877563597 +405 543 1 885549407 +555 25 4 879963127 +707 719 3 886288189 +707 58 3 886285907 +815 89 4 878695092 +442 228 5 883390366 +642 1030 4 886570173 +826 1091 3 885690379 +551 1039 4 892777013 +393 996 3 889731139 +698 654 1 886367586 +881 180 5 876538063 +268 358 3 876513643 +686 56 5 879546147 +487 713 4 883444631 +865 825 1 880144123 +755 748 4 882570141 +209 9 3 883417547 +711 676 5 876185812 +714 1016 5 892777876 +655 270 4 887650943 +883 727 3 891696750 +846 8 4 883947861 +727 729 2 883711720 +838 24 4 887064231 +417 211 4 880949907 +748 69 4 879454849 +833 159 2 879818659 +447 233 4 878856526 +705 228 3 883428109 +330 225 4 876544507 +654 249 5 887863866 +883 83 3 891693200 +835 458 4 891032869 +596 276 3 883539431 +567 136 5 882426210 +537 387 4 886031860 +457 288 4 882392853 +537 566 2 886032183 +859 249 5 885775086 +748 692 3 879455410 +652 288 2 882566890 +828 246 2 893186163 +721 303 3 877137285 +660 366 1 891405958 +667 272 5 891034404 +763 510 4 878915559 +639 702 2 891240868 +878 692 4 880869191 +843 474 3 879445738 +472 416 3 875982867 +774 230 2 888557237 +343 408 5 876403121 +861 289 5 881274504 +805 537 5 881703643 +312 606 5 891698300 +770 678 2 875971655 +711 240 1 879991425 +811 690 5 886377248 +778 197 4 891232569 +643 204 3 891447901 +204 880 2 892388976 +863 1062 4 889289570 +64 111 4 889739975 +815 99 4 878694665 +770 7 5 875972185 +189 503 3 893266137 +648 477 3 882211585 +370 100 4 879435369 +141 1023 4 884585274 +815 94 3 878697705 +833 98 3 875123359 +399 66 3 882343171 +92 38 3 875657640 +654 336 3 887863227 +334 196 4 891547128 +830 790 1 891899476 +537 15 3 886030051 +628 326 5 880777095 +650 157 3 891382960 +500 94 2 883877023 +620 706 3 889987706 +838 276 4 887064825 +851 304 3 877831020 +847 658 3 878940855 +650 54 2 891385876 +848 419 5 887043421 +883 749 3 891695490 +861 52 5 881274718 +332 117 4 887916575 +184 487 4 889908571 +510 245 3 887667574 +865 929 2 880144539 +450 704 3 882372178 +721 471 5 877138200 +848 185 3 887037861 +456 127 5 881373019 +642 832 3 892240991 +620 145 5 889987682 +770 331 3 875971703 +474 66 4 887926437 +798 231 2 875638817 +738 926 3 875350456 +805 88 2 881696876 +70 473 3 884066399 +244 114 4 880603219 +350 480 5 882345918 +583 530 4 879384404 +830 99 3 891561474 +405 33 1 885547360 +406 528 4 879446361 +207 64 5 877846793 +833 111 2 875134110 +826 55 5 885690636 +753 211 4 891402240 +707 1008 3 880060460 +716 197 5 879794962 +425 540 2 878738486 +618 118 3 891309004 +741 401 3 891457483 +728 100 5 879443321 +58 1070 4 884304936 +877 949 3 882677440 +846 516 4 883948457 +825 595 3 889021134 +457 204 5 882397699 +757 31 4 888445570 +792 471 4 877910822 +848 423 4 887038197 +357 932 4 878952341 +492 56 5 879969878 +360 521 5 880355845 +811 258 5 886377311 +790 849 4 885157205 +264 447 5 886122352 +886 4 3 876031601 +562 127 5 879196401 +743 289 3 881277357 +715 546 4 875962076 +828 302 4 891380166 +608 865 4 880403537 +708 1280 1 892718819 +808 271 3 883949602 +881 49 5 876538986 +592 686 5 882956387 +250 28 4 878090153 +593 97 4 877728878 +659 215 4 891385258 +655 325 2 887425197 +674 252 2 887763151 +442 988 1 883388064 +589 689 4 883352787 +807 71 5 892530705 +215 226 4 891436633 +624 257 3 879793269 +708 126 4 892719340 +128 501 3 879968921 +771 197 1 880659919 +668 272 5 890349005 +537 117 2 886030011 +611 347 4 891636244 +116 640 3 876453560 +806 14 3 882385394 +843 402 2 879447599 +128 432 2 879968125 +254 168 1 886472400 +663 455 2 889492679 +864 716 2 888889744 +804 10 4 879442298 +733 137 5 879535406 +683 754 3 893284184 +862 198 5 879304484 +693 708 3 875483049 +880 54 3 880242503 +601 1063 3 876350340 +560 122 3 879977081 +747 97 5 888640437 +776 848 2 892210321 +64 625 3 889740286 +537 694 4 886031407 +617 615 3 883789294 +104 286 1 888442304 +837 289 5 875721539 +453 476 3 890939266 +881 53 2 876539448 +487 591 2 883444462 +804 932 3 879444077 +877 271 4 882676507 +790 282 4 884461590 +693 127 4 875482056 +727 1076 2 883712632 +599 872 2 880951046 +330 21 5 876544953 +605 14 5 879427619 +129 1176 4 883244059 +788 58 4 880868355 +868 91 3 877107817 +846 53 3 883950820 +144 9 5 888104191 +881 204 4 876538506 +256 591 5 882151017 +862 526 4 879304623 +470 258 4 879178216 +796 564 1 893194929 +846 216 4 883948571 +791 300 5 879447977 +541 526 4 883865088 +805 952 5 881704553 +756 566 4 874830168 +717 826 2 884642868 +663 1 4 889492679 +429 1118 4 882385902 +308 471 3 887739382 +694 523 4 875727877 +715 40 1 875964681 +878 511 4 880866810 +812 358 3 877625461 +535 30 4 879617531 +581 276 3 879641850 +862 216 5 879304410 +113 222 3 875076872 +659 1203 4 891385258 +474 939 4 887928562 +711 281 3 879995362 +881 559 2 876539220 +83 751 3 883869440 +770 358 3 875971655 +236 199 4 890118307 +458 28 3 886396005 +846 86 5 883949290 +168 473 2 884288178 +805 382 4 881698258 +290 825 3 880732508 +181 303 1 878961749 +833 640 3 875123986 +610 582 4 888703749 +178 31 4 882827083 +642 422 3 885606608 +627 47 2 879530346 +560 278 1 879976892 +851 1016 5 891961664 +807 384 4 893080838 +682 233 2 888520864 +299 313 3 887135516 +868 89 4 877107446 +832 328 3 888259020 +579 88 4 880952440 +663 1086 3 889492959 +222 470 3 878181869 +757 229 3 888466652 +828 10 3 891035970 +735 475 4 876698570 +562 132 4 879195721 +354 19 5 891216549 +531 300 4 887048862 +425 912 2 891986392 +810 313 5 885406451 +149 258 3 883512658 +274 318 5 878946577 +666 505 4 880139526 +299 244 2 877878001 +28 229 2 881961393 +454 610 3 881959576 +863 352 1 889289491 +405 854 1 885547222 +695 991 5 888806011 +662 1380 2 880570952 +820 748 1 887955223 +833 53 1 875224039 +727 1229 2 883713473 +606 508 4 878147350 +884 70 4 876859208 +472 24 5 892791017 +145 821 3 875272833 +880 50 5 880167175 +806 186 4 882387925 +520 690 5 885168677 +525 472 2 881086012 +878 659 4 880870854 +457 248 4 882393008 +807 1063 4 892529112 +92 546 2 875640512 +664 22 2 876524731 +795 554 3 883254802 +222 717 1 877563716 +804 414 4 879444890 +588 384 1 890032013 +22 4 5 878886571 +320 1047 4 884748733 +363 1215 1 891498920 +296 7 5 884196896 +824 991 3 877021121 +434 225 4 886724453 +844 1474 4 877387195 +6 474 5 883601277 +617 179 4 883789386 +712 102 4 874956543 +753 322 3 891401167 +137 289 3 881432671 +268 218 2 875744469 +389 82 4 880087977 +798 1270 3 875915190 +505 692 3 889334583 +534 331 4 877807429 +854 1077 3 882813907 +864 134 5 888887013 +749 88 4 878849534 +535 708 5 879618777 +354 209 3 891218155 +802 687 3 875984722 +862 181 5 879305143 +543 1199 2 877542776 +455 237 3 879109923 +495 232 5 888635202 +640 70 4 874778065 +821 15 5 874792835 +470 1134 4 879178486 +293 152 4 888905716 +883 311 4 891691505 +682 96 4 888523635 +593 200 5 875661567 +843 193 3 879446863 +711 1446 2 879994608 +761 127 3 876190025 +243 111 4 879987793 +200 378 5 884129301 +859 276 4 885776056 +458 187 5 886398543 +710 504 4 882063649 +567 195 3 882426782 +503 213 5 880383030 +711 219 2 879995792 +514 50 5 875462466 +692 328 4 876953340 +883 50 4 891696824 +716 102 2 879797256 +457 401 3 882550654 +594 483 3 874786695 +851 31 4 875807058 +740 286 5 879523187 +194 179 4 879521329 +423 322 3 891395020 +87 188 4 879875818 +249 144 4 879572567 +343 555 1 876407706 +308 200 5 887738933 +866 321 3 891221302 +490 127 5 875428765 +409 14 5 881107992 +788 200 4 880869075 +788 549 4 880869753 +782 268 3 891497854 +380 729 3 885479252 +424 1 1 880859493 +94 1045 4 891721815 +87 801 3 879876768 +316 192 1 880854267 +299 435 3 877881061 +851 772 3 875807019 +213 55 5 878955680 +747 481 5 888639525 +697 876 3 882621595 +587 880 3 892871536 +749 110 2 878850703 +537 713 3 886030177 +742 13 4 881335361 +864 219 4 888889129 +778 161 3 890727175 +637 275 3 882903191 +450 416 5 882395779 +664 276 5 876524053 +292 115 4 881104194 +747 923 5 888639939 +747 428 3 888640046 +343 510 5 876408139 +146 327 3 891457905 +846 659 5 883948908 +586 566 3 884062621 +805 550 3 881694854 +640 354 4 888262331 +847 225 1 878775647 +840 705 4 891204713 +796 233 4 893048471 +774 77 1 888556938 +405 1062 1 885549904 +735 124 5 876698643 +682 58 3 888517627 +514 587 4 880210105 +704 497 3 891397764 +717 846 4 884642339 +345 744 4 884991348 +796 2 5 893048377 +579 169 4 880951867 +486 995 4 879874388 +597 1 3 875339723 +838 249 4 887064315 +804 639 4 879442591 +445 302 1 891199195 +43 169 5 875981128 +769 831 1 885424534 +504 526 3 887838624 +561 50 3 885807429 +744 23 4 881171420 +425 355 3 890346705 +749 484 5 881073043 +666 709 4 880314144 +709 628 3 879847000 +435 790 4 884133818 +488 527 3 891294473 +807 505 3 892528110 +71 514 4 877319567 +291 773 3 874834827 +624 24 3 879793380 +733 129 2 879535299 +561 286 4 885806710 +836 216 4 885753979 +880 181 5 880166719 +50 547 4 877052297 +207 316 5 891759050 +659 13 4 891331361 +880 783 1 880175187 +347 137 2 881652568 +111 321 3 891680076 +42 86 3 881107880 +393 298 4 887743453 +717 1137 5 884642580 +216 747 4 880245260 +793 815 3 875103901 +850 173 5 883195008 +713 362 1 888882040 +886 175 4 876031550 +880 508 4 880166966 +385 47 4 879441982 +424 882 3 880858829 +880 721 1 880174749 +482 288 3 887644023 +634 127 5 877018347 +804 1285 2 879445766 +343 235 4 876403078 +749 1051 3 878846676 +655 1257 3 887433685 +854 289 2 882811962 +684 376 3 878762273 +56 280 4 892683913 +871 1197 3 888193136 +758 1052 5 882055497 +7 610 5 891353086 +805 343 5 881684185 +294 286 5 877818457 +640 338 5 886353852 +378 14 5 880044251 +486 924 3 879875069 +423 282 4 891395448 +580 748 2 884126077 +882 409 4 879863031 +668 538 5 881523787 +825 286 4 889912073 +757 210 4 888445570 +339 145 3 891036557 +398 56 4 875659843 +447 582 4 878855724 +222 455 3 877563437 +548 203 5 891044446 +433 358 2 880585554 +871 1119 3 888193384 +758 183 5 882055987 +883 135 4 891717319 +630 252 2 885667464 +280 619 4 891701913 +838 1005 4 887066678 +675 1007 4 889489522 +632 168 4 879457248 +736 1388 5 878709365 +207 692 3 877750738 +865 597 1 880144368 +751 3 3 889299391 +679 531 4 884487153 +601 238 2 876349897 +833 28 3 875135213 +591 25 4 891039658 +807 633 4 892529401 +523 412 3 883702351 +721 581 2 877141373 +392 663 4 891039049 +805 455 4 881694854 +332 840 4 887938781 +833 518 3 875039100 +201 58 4 884140488 +284 270 3 885328906 +243 283 3 879987362 +773 792 4 888539471 +640 304 4 876067605 +595 325 3 886920774 +509 343 3 883591319 +280 218 4 891701474 +222 356 4 878184571 +201 268 4 884110637 +516 431 3 891290649 +300 294 3 875649995 +655 730 2 890497653 +705 22 5 883427988 +502 261 2 883702945 +650 1035 2 891389132 +618 609 4 891309440 +540 220 3 882157820 +230 162 4 880484587 +486 1379 3 879874515 +863 902 5 889289456 +790 722 3 885157686 +763 961 5 878919083 +505 1409 3 889333974 +779 300 3 875501300 +525 257 4 881085739 +303 1407 1 879544063 +611 752 5 891636223 +26 475 3 891350826 +592 1048 3 882608625 +268 718 4 875306805 +758 122 4 881980408 +749 257 3 878846957 +303 73 3 879484918 +537 1084 3 886030050 +880 755 3 880242848 +529 749 4 882535466 +189 742 3 893264270 +837 237 3 875721793 +297 28 4 875239913 +758 489 5 881975687 +495 120 5 888637768 +864 892 3 887686497 +747 71 5 888639102 +880 1016 4 880167223 +167 493 4 892738307 +727 431 4 883711045 +338 498 4 879438250 +279 1072 4 890780735 +860 303 3 876074139 +790 111 3 884461849 +766 208 5 891309810 +749 523 4 878847285 +538 4 3 877107726 +846 132 5 883948840 +328 689 5 885044733 +207 871 5 880839802 +551 468 5 892783559 +514 648 3 886189869 +877 515 5 882677640 +866 306 4 891221165 +666 137 4 880313423 +670 949 2 877974465 +790 358 2 885154848 +325 1018 3 891479038 +796 873 3 892874827 +77 173 5 884752689 +512 258 3 888578768 +883 407 3 892557605 +291 774 3 874867852 +145 155 2 875272871 +44 109 3 878346431 +690 684 4 881179938 +716 965 2 879797504 +846 186 5 883948949 +851 109 4 875730379 +823 196 5 878439211 +414 748 3 884999147 +373 645 5 877098599 +711 1115 4 876185812 +868 448 2 877110401 +846 83 4 883947911 +429 214 3 882384526 +447 866 2 878855082 +18 143 4 880131474 +795 173 4 880567884 +884 275 4 876857845 +537 924 3 886030254 +846 92 4 883948495 +495 94 3 888636992 +877 274 4 882678105 +782 948 2 891499699 +823 140 3 878438332 +843 121 3 879444047 +642 202 3 885842351 +854 405 4 882812755 +883 867 5 891695588 +846 1168 4 883950569 +745 507 1 880123335 +796 810 3 893048622 +332 431 5 888360412 +405 47 5 885545429 +813 259 2 883752528 +764 14 4 876752116 +758 420 3 882053499 +738 229 3 875351906 +270 86 4 876955067 +648 423 4 884368442 +198 447 4 884209188 +450 417 4 882376365 +514 49 2 886189676 +666 222 3 880313423 +532 186 4 891910189 +870 48 4 875050603 +568 224 4 877907236 +621 80 4 874963126 +650 402 3 891383272 +620 623 4 889988232 +301 429 4 882076072 +380 228 3 885479235 +417 723 5 879648938 +716 946 2 879796718 +885 1311 2 885714582 +378 1438 3 880333098 +864 22 5 888888937 +743 338 1 881277800 +92 408 4 876175704 +398 692 4 875717020 +468 216 5 875288771 +828 61 5 891037466 +843 97 3 879447377 +286 821 4 877534550 +354 305 4 891180489 +624 15 4 879793330 +151 125 4 879542939 +708 596 4 877326158 +643 566 3 891449476 +840 462 3 891205287 +499 486 3 885599598 +587 243 3 892871401 +70 820 1 884152379 +741 290 3 891457956 +543 22 3 877545230 +655 789 3 887473879 +742 15 4 881335461 +748 517 3 879455083 +883 72 4 891694431 +665 432 4 884294025 +445 979 2 891200272 +557 268 5 881179653 +541 542 1 884046888 +645 268 4 892051811 +643 356 4 891448218 +648 831 1 882212131 +291 1248 4 875087634 +617 670 1 883789590 +854 1197 3 882812263 +653 258 3 886051833 +871 177 5 888193336 +82 87 3 878769598 +793 1187 2 875104167 +56 410 4 892911348 +59 151 5 888203053 +864 722 2 888892091 +833 675 4 875224252 +437 79 4 880143855 +472 161 5 875982149 +738 89 5 892844112 +747 736 5 888732899 +840 497 4 891209571 +699 880 3 893140941 +100 895 2 891375212 +130 196 5 875801695 +804 702 2 879447476 +849 288 5 879695056 +648 484 5 884368442 +637 866 3 882905285 +534 475 4 877807747 +860 211 3 885990998 +884 9 5 876858820 +75 460 5 884050829 +868 160 4 877104414 +435 230 3 884132809 +487 48 2 883445540 +704 347 4 891397015 +716 81 4 879796475 +665 423 4 884294611 +711 845 4 879991247 +870 663 3 879540005 +746 144 5 885075211 +383 479 4 891192985 +554 31 4 876369085 +655 1265 3 887425025 +778 234 3 890726231 +583 513 5 879384338 +848 209 5 887038397 +676 22 5 892686606 +854 268 3 882811865 +622 204 3 882592559 +655 55 2 887429302 +826 820 3 885690250 +428 886 4 885943651 +774 758 1 888559036 +879 237 4 887761309 +660 239 2 891200989 +618 582 4 891309217 +398 196 4 875746951 +796 197 3 892676231 +436 1028 4 887770693 +303 564 1 879485447 +643 505 4 891447260 +275 164 4 880313886 +840 945 3 891204509 +422 867 3 878059137 +200 951 5 884130014 +297 498 3 875239018 +666 133 3 880139439 +885 210 5 885713544 +699 978 4 886568066 +821 132 5 874793898 +846 708 3 883948685 +727 636 3 883711616 +535 496 5 879618246 +883 516 4 891694372 +682 67 4 888523581 +672 269 3 879787460 +884 269 5 876857704 +727 1042 2 883712068 +505 568 4 889333466 +673 315 5 888786942 +882 515 5 879865307 +788 271 3 880867855 +92 452 2 875906828 +399 9 3 882510018 +656 270 3 892318676 +429 411 3 882386848 +250 234 3 878091736 +881 601 5 876539186 +655 786 2 887472965 +727 928 3 883709802 +707 135 2 886286032 +872 106 3 888479624 +682 217 4 888523581 +327 184 3 887820341 +827 272 4 884213984 +95 1116 4 888956137 +450 483 3 882371826 +692 294 3 876946833 +690 496 4 881179222 +824 321 2 877021002 +788 56 3 880868235 +805 142 4 881705843 +84 477 4 883452307 +593 255 5 875659055 +764 696 3 876243465 +566 170 5 881650739 +885 405 4 885715691 +731 320 1 886186811 +798 62 4 875915855 +871 895 3 888192689 +130 95 5 875216867 +682 1084 2 888518164 +889 72 3 880181317 +566 419 2 881650907 +751 785 4 889298010 +721 111 4 877154765 +564 1034 3 888730838 +102 751 3 885100000 +830 50 5 891561606 +201 211 3 884112840 +852 597 3 891037562 +25 173 4 885852969 +243 285 5 879989217 +870 42 2 879270213 +138 209 4 879023948 +642 942 4 886207151 +788 432 1 880869323 +519 328 2 883248251 +747 216 2 888639060 +851 10 3 875730030 +592 885 2 887257199 +615 678 1 879447713 +465 100 3 883532119 +286 1101 5 877532715 +717 597 4 884642710 +889 659 4 880178367 +409 485 2 881107155 +862 230 3 879305273 +222 575 3 881060550 +298 210 5 884182891 +303 595 2 879484421 +399 241 4 882342866 +755 327 2 882569801 +591 196 4 891031116 +786 418 4 882843352 +488 182 3 891293734 +617 170 1 883788929 +843 1411 3 879449377 +397 318 4 885349610 +624 473 3 879793093 +710 268 4 882063276 +664 191 3 876523833 +782 258 4 891497906 +648 112 2 884367366 +577 173 5 880472055 +339 167 4 891036058 +672 275 5 879787955 +645 664 4 892054402 +838 385 4 887067127 +749 571 3 878850456 +1 191 5 875072956 +813 877 1 883752331 +279 364 4 891209077 +504 240 1 887832012 +669 1 5 892549412 +647 231 4 876533657 +833 444 3 875224352 +181 122 2 878963276 +126 678 3 887855283 +515 905 2 887660131 +676 1483 4 892685826 +600 385 3 888451582 +847 473 2 878938855 +391 76 3 877399618 +851 290 4 874728430 +698 511 2 886367693 +804 528 4 879443048 +536 141 4 882361042 +804 1074 1 879447476 +464 1025 2 878354829 +497 472 3 879310650 +385 1014 2 879450441 +230 22 5 880484850 +792 100 4 877910822 +774 2 1 888557383 +8 11 3 879362233 +590 237 3 879438911 +537 96 3 886031576 +102 294 2 883277645 +863 333 5 889289123 +48 215 4 879434751 +889 134 4 880179648 +647 88 4 876534041 +184 640 4 889909551 +886 819 4 876033897 +860 514 5 885991040 +109 282 3 880564678 +535 499 4 879617894 +601 508 4 876346964 +798 444 2 875639115 +622 674 2 882670929 +761 291 3 876190770 +838 179 5 887067340 +601 591 3 876347267 +865 245 3 880235263 +772 288 2 889028773 +386 127 5 877654961 +552 1047 3 879222521 +642 1047 3 885606327 +423 678 3 891395020 +889 160 4 880180945 +852 289 2 891035325 +307 64 4 879283371 +878 949 3 880871600 +334 73 3 891548695 +833 919 2 875124348 +378 707 3 880046475 +288 269 5 886373071 +592 48 5 882955735 +382 482 5 875946945 +201 1267 3 884141053 +59 89 5 888204965 +330 963 5 876547533 +766 212 5 891310125 +203 890 2 880433499 +771 709 5 880659894 +768 628 3 880136174 +845 313 4 885409374 +676 168 5 892686459 +863 315 5 889288910 +15 125 5 879456049 +699 1013 3 879147722 +854 382 4 882813761 +545 194 3 879899677 +881 790 3 876539549 +787 880 3 888979123 +435 928 3 884134187 +862 147 5 879304196 +561 428 4 885810084 +622 70 3 882670562 +774 515 2 888556398 +416 1189 5 893213917 +836 496 4 885754231 +698 625 3 886366731 +488 526 4 891294530 +125 153 2 879454419 +787 342 2 888979875 +659 69 3 891384916 +474 607 4 887926872 +889 654 3 880178512 +532 431 5 892521553 +747 347 5 888638091 +552 294 4 879220688 +505 190 4 889333598 +786 69 4 882844295 +459 676 3 879563288 +313 238 4 891013859 +604 443 3 883668352 +868 1035 1 877107817 +774 577 2 888556278 +409 879 1 881105366 +347 177 5 881654386 +747 409 1 888733595 +621 686 5 880739852 +409 714 3 881108170 +699 1011 4 880696196 +537 230 2 886031860 +749 133 4 878849052 +704 632 3 891397441 +425 879 2 878737593 +436 506 5 887770485 +59 69 5 888205087 +788 823 3 880871294 +244 214 5 880603219 +592 93 4 882608061 +551 71 4 892783281 +233 89 3 875508225 +566 191 4 881649853 +387 475 3 886480657 +782 1226 2 891499439 +452 530 3 875562062 +712 433 3 874956903 +581 515 4 879641533 +694 521 3 875730042 +22 127 5 878887869 +385 1495 3 879443186 +807 380 4 893080442 +363 65 4 891495682 +823 87 5 878438887 +609 877 5 886895649 +831 100 4 891354573 +782 1105 3 891498766 +610 283 3 888703316 +874 306 4 888632194 +886 781 4 876033340 +621 183 4 874963594 +532 520 5 892861434 +782 286 2 891497906 +749 496 5 878847673 +545 890 2 880347690 +782 989 3 891498267 +833 1016 1 875133458 +659 134 4 891332189 +474 657 5 887924028 +270 268 5 876953745 +889 65 4 880180817 +870 568 4 879714588 +879 282 4 887761865 +762 875 5 878718996 +450 505 5 882376658 +707 536 3 880059921 +862 1093 5 879304196 +638 685 4 876695307 +848 151 4 887043180 +429 88 3 882386895 +740 294 4 879523187 +868 265 3 877108302 +806 485 5 882388381 +731 588 3 886184682 +399 1396 4 882343455 +828 1153 3 891037948 +764 173 3 876245383 +666 319 4 880138999 +290 135 4 880474510 +214 960 2 891544152 +334 258 4 891544264 +577 64 5 880474394 +177 324 4 880130434 +402 9 4 876266741 +413 147 2 879969860 +684 274 2 878759884 +846 702 4 883949380 +679 143 2 884487135 +615 216 4 879449068 +632 50 5 879459738 +542 871 2 886533142 +694 1221 3 875728842 +751 95 5 889134419 +663 872 3 889491919 +561 474 5 885807318 +361 176 4 879441215 +720 1176 5 891262812 +489 750 5 891448080 +837 13 4 875721843 +257 61 5 879547534 +823 433 4 878438379 +296 181 5 884198772 +829 237 3 891204271 +592 178 5 882956241 +848 234 4 887037861 +862 491 3 879304799 +405 446 1 885548385 +885 428 4 885713461 +877 286 2 882675993 +486 1598 5 879874583 +867 318 5 880078424 +773 217 3 888540314 +436 1053 4 887771853 +889 58 3 880178130 +716 473 4 879794379 +477 294 4 875940693 +847 926 1 878938792 +774 56 2 888555928 +23 522 4 874785447 +345 118 3 884991520 +735 106 3 876698714 +884 322 3 876857745 +582 1033 2 882962030 +675 891 2 889488779 +435 22 4 884131156 +766 1126 4 891309767 +846 398 1 883950753 +215 552 3 891436730 +244 1467 5 880605553 +739 1431 5 886825529 +886 68 3 876032422 +378 381 4 882642831 +459 651 3 879564309 +748 222 4 879454707 +457 183 5 882397455 +802 672 3 875985767 +805 167 3 881705534 +650 420 3 891385826 +881 222 5 876536079 +179 1234 1 892151459 +883 239 3 891694401 +654 239 4 887864868 +878 172 4 880870854 +892 134 5 886608591 +44 133 4 878347569 +711 170 5 876279059 +848 1118 5 887048573 +328 720 3 885049535 +580 15 3 884125339 +234 238 3 892079040 +867 96 5 880078656 +298 333 5 884126600 +497 12 4 879362019 +119 82 2 874781352 +789 293 4 880332259 +709 405 3 879848590 +151 44 4 879542413 +380 515 4 885478218 +527 603 4 879456078 +758 546 3 882053613 +805 174 3 881694798 +789 9 5 880332114 +768 591 4 883834945 +857 300 3 883432251 +643 98 3 891446688 +694 492 4 875727581 +483 257 2 878952519 +712 1053 4 874730490 +606 969 5 880925074 +828 286 4 891033342 +872 597 4 888479370 +263 520 3 891298163 +577 7 2 880470447 +650 316 3 891369190 +843 23 2 879446696 +458 736 4 886398543 +271 48 4 885849087 +850 300 5 883194367 +758 547 5 881975472 +383 478 5 891193042 +397 109 4 889760803 +567 246 4 882426508 +763 209 4 878918213 +518 106 5 876823804 +661 433 5 876016545 +796 487 5 892676195 +393 463 4 889555225 +532 82 5 892521554 +313 514 4 891013887 +256 595 4 882164037 +653 425 2 880606619 +862 64 5 879304326 +630 310 3 885665975 +850 210 5 883195301 +804 679 4 879445393 +710 496 4 882063793 +413 286 5 879968793 +339 170 5 891032286 +450 528 5 882371526 +881 1124 4 876538627 +833 696 3 875036912 +566 122 2 881651583 +292 486 4 881105246 +880 228 3 880167843 +326 53 1 879877039 +119 288 4 886175150 +557 337 5 881179653 +663 1009 3 889493069 +489 339 3 891448428 +267 715 4 878972682 +743 303 5 881277357 +868 73 1 877108220 +886 147 5 876033228 +436 72 5 887770693 +524 216 5 884634849 +154 222 2 879138910 +251 535 3 886272283 +890 118 2 882915661 +787 245 3 888980193 +334 244 3 891545044 +600 679 2 888451839 +561 1018 3 885809806 +851 588 4 875731529 +892 273 4 886608681 +798 953 2 875639290 +833 628 4 875036102 +886 235 3 876032739 +491 237 3 891187226 +457 51 5 882397734 +178 246 4 884837324 +592 1143 5 882607872 +401 371 3 891033550 +676 9 2 892686134 +128 381 3 879969033 +699 1028 2 880696678 +870 255 2 889409590 +618 735 3 891308571 +234 663 4 892335707 +327 684 4 887820293 +889 168 4 880178449 +354 735 3 891218312 +534 243 3 877807461 +643 114 4 891446854 +80 483 5 887401328 +268 286 5 875306477 +435 1291 1 884134853 +224 980 1 888104353 +522 11 4 876961076 +889 762 3 880177154 +823 53 5 878439229 +739 661 2 886958831 +889 246 4 880176926 +669 194 3 891517159 +792 1197 4 877910822 +881 441 2 876539549 +773 531 5 888538853 +893 56 5 874829733 +843 625 2 879448542 +825 275 3 881100775 +692 763 3 876954381 +757 232 3 888466435 +825 122 1 889021209 +798 66 3 875639364 +452 237 2 875263068 +747 73 4 888640305 +703 628 4 875242762 +440 340 2 891549397 +290 405 2 880732365 +625 254 3 891273897 +885 1 5 885714990 +650 137 3 891385105 +838 96 4 887065781 +841 754 4 889067045 +783 264 4 884326726 +887 931 3 881379009 +592 544 4 882608107 +613 632 3 891227204 +886 233 3 876032126 +826 288 3 885689759 +863 1024 3 889289619 +653 366 2 880152901 +615 509 4 879448149 +727 174 4 883710186 +843 674 2 879443394 +489 324 3 891445320 +781 205 5 879634256 +756 1 4 874826629 +655 653 3 892011201 +854 505 4 882813600 +848 755 5 887046674 +314 132 4 877890644 +859 421 5 885776384 +882 204 5 879864697 +650 380 2 891383735 +526 277 2 885682657 +269 135 4 891447931 +881 13 4 876536364 +848 172 5 887038022 +537 76 3 886031934 +851 307 4 878574215 +664 528 5 876523833 +130 453 3 880396602 +663 123 3 889492562 +542 235 3 886533228 +648 619 3 882211301 +854 223 4 882814177 +798 163 3 875814110 +883 224 4 891692683 +891 546 3 883489282 +894 15 3 880416340 +303 554 2 879484500 +758 294 5 880672523 +321 197 5 879439812 +868 358 2 877103098 +347 174 4 881654248 +113 127 4 875935610 +867 174 5 880078991 +798 173 5 875656071 +886 160 1 876031550 +392 300 2 891037437 +399 99 3 882344269 +192 100 5 881367706 +634 331 4 875728702 +773 403 2 888540091 +771 1129 5 880660106 +821 213 5 874793806 +450 570 4 887139728 +87 94 4 879876703 +90 1045 2 891385843 +751 193 5 889133556 +174 1311 3 886514430 +741 673 4 891455671 +655 49 1 887428417 +593 471 3 875659826 +805 86 4 881696729 +758 123 1 881977872 +854 86 3 882814436 +747 1456 3 888732747 +608 269 3 880402272 +472 796 4 875981595 +437 170 5 880140787 +524 815 3 884627519 +314 722 1 877891089 +630 240 3 885667200 +868 109 3 877107627 +660 491 4 891199348 +783 269 4 884326274 +145 636 4 875272050 +748 237 4 879454880 +805 101 2 881695591 +412 24 3 879717177 +463 887 5 890452468 +617 646 4 883789386 +724 682 1 883757703 +653 70 2 880151340 +453 204 4 877554704 +555 340 4 879962096 +454 193 2 881959818 +893 147 3 874828569 +500 77 3 883875793 +805 212 3 881696729 +642 1146 1 886570084 +792 831 2 877910666 +810 331 4 891873686 +630 735 2 885668231 +749 87 4 878849558 +892 781 4 886610137 +889 819 2 880177738 +829 213 4 881698933 +766 639 3 891309622 +804 1028 3 879445556 +868 183 5 877104414 +286 931 4 876522340 +846 180 5 883947630 +846 317 3 883947778 +880 1291 3 880175468 +664 50 5 878090415 +666 286 5 880138999 +575 96 5 878148199 +7 573 5 891353828 +492 221 3 879969454 +22 926 1 878887062 +894 888 4 879896756 +354 83 4 891217851 +883 665 4 891695717 +880 396 2 880174995 +798 795 3 876176160 +435 571 2 884134047 +894 405 3 880416177 +860 294 2 880829225 +551 7 5 892777638 +805 771 5 881695999 +638 195 4 876694787 +578 222 4 888957788 +661 71 4 876015530 +215 87 5 891436543 +796 198 4 892662871 +754 359 3 879451299 +870 603 5 875050723 +69 172 5 882145548 +65 64 5 879216529 +405 198 2 885549506 +383 58 4 891193210 +716 265 5 879797414 +566 110 1 881651813 +854 1086 3 882812195 +881 89 4 876537577 +847 372 5 878940189 +752 306 5 891208451 +95 381 4 880571678 +561 209 4 885807369 +749 742 4 878849375 +601 405 1 876347765 +761 235 3 876190182 +625 238 4 891636000 +243 157 5 879989217 +224 553 4 888104393 +882 173 5 879867980 +716 632 4 879795691 +737 96 2 884314715 +881 1046 3 876539051 +840 48 3 891204418 +375 773 3 886621985 +425 522 3 878738077 +417 252 3 879646530 +854 603 4 882813600 +468 12 4 875291902 +880 72 3 880174996 +854 928 3 882813143 +648 227 3 884882803 +27 288 3 891543129 +778 98 4 890725951 +458 632 4 886398289 +174 724 5 886453169 +731 69 5 886179040 +579 732 4 880952335 +882 140 3 879879868 +11 372 4 891904968 +541 627 4 883874749 +846 755 3 883950311 +439 276 5 882892755 +854 22 2 882813691 +891 117 3 883488774 +790 98 5 885156375 +312 14 5 891698664 +788 693 2 880868705 +447 410 2 878854630 +802 443 4 875985686 +186 159 5 879023723 +200 449 5 884130540 +445 1143 4 891200870 +561 200 4 885807743 +781 204 4 879634256 +412 684 4 879717313 +864 966 4 888888994 +796 271 5 892874827 +877 60 5 882677183 +7 379 4 891353325 +102 55 3 888801465 +394 158 3 881059315 +645 513 5 892054481 +846 770 5 883948606 +847 1160 4 878939153 +686 451 4 879546847 +848 899 3 887037471 +881 294 3 876535642 +530 333 3 890627264 +815 596 5 878692043 +846 228 5 883947737 +867 258 3 880077751 +890 98 4 882403446 +780 526 5 891364125 +177 181 4 880130931 +543 233 4 877545716 +455 123 3 879111705 +627 713 2 879530306 +806 1071 4 882388965 +1 4 3 876893119 +405 526 1 885546154 +865 169 5 880235059 +715 376 2 875964545 +854 250 4 882812376 +313 82 3 891014838 +255 324 5 883215586 +692 168 2 876953204 +882 71 5 879867631 +629 655 5 880117333 +883 561 3 891695717 +561 539 1 885807035 +753 134 4 891402323 +60 501 3 883327472 +468 118 3 875280417 +537 646 2 886030552 +506 1407 2 885135954 +537 382 3 886030938 +1 263 1 875693007 +214 98 4 892668249 +671 257 5 875388720 +857 14 4 883432633 +892 151 4 886609330 +312 507 5 891698300 +796 9 3 892660251 +871 1385 3 888193136 +868 173 4 877107961 +804 188 4 879442096 +784 754 3 891387249 +90 270 4 891382310 +566 155 2 881651225 +42 71 4 881108229 +389 211 4 880087415 +393 1044 4 889731821 +456 403 2 881373900 +878 655 3 880866687 +145 227 4 885557660 +821 357 5 874793517 +741 496 5 891456718 +887 1012 1 881378153 +524 823 4 884628136 +863 303 1 889288911 +406 507 4 879445735 +551 461 3 892778074 +588 63 5 890028385 +870 386 4 880584752 +796 1101 5 892690382 +660 405 2 891198479 +840 529 4 891204891 +577 79 4 880474530 +655 209 3 887473831 +705 849 3 883428201 +484 449 4 891195602 +749 808 3 878849929 +474 490 5 887926059 +387 289 1 886484413 +559 515 4 891035111 +605 69 5 879425432 +559 144 5 891034551 +788 1 3 880867970 +468 471 3 875279269 +804 719 3 879445132 +402 117 3 876267173 +767 222 5 891462760 +751 849 2 889299133 +296 483 5 884197307 +545 426 3 879901483 +867 252 2 880078179 +696 1062 4 886403631 +666 544 4 880313682 +222 1220 4 878184290 +756 731 3 874827920 +481 322 4 885828016 +847 118 3 878775982 +506 873 4 889874717 +844 50 5 877388182 +814 448 3 885411030 +551 470 5 892783711 +411 449 3 891035405 +288 214 2 886374316 +455 1086 3 879109692 +687 988 3 884652429 +894 333 4 879896756 +679 268 4 884312834 +887 839 4 881379566 +894 246 4 882404137 +805 151 5 881705810 +871 747 3 888193541 +894 297 4 880416380 +622 209 5 882592421 +653 658 2 880151817 +543 391 3 877547190 +718 815 4 883348873 +435 1016 4 884134377 +334 950 3 891545162 +871 1345 3 888193136 +194 78 1 879535549 +648 13 3 882212071 +492 45 3 879969814 +852 820 4 891037754 +712 768 5 874956560 +586 85 3 884067003 +49 1017 3 888069040 +870 216 4 875680520 +327 1218 4 887822400 +642 1000 3 885602340 +727 1139 3 883713348 +637 24 2 882903511 +664 194 4 876525998 +655 269 3 888474807 +524 693 5 884636562 +825 120 3 889020852 +892 849 2 886610341 +758 213 5 881976377 +655 1623 4 887428735 +564 1016 2 888730699 +790 826 1 884462714 +785 12 4 879439137 +851 273 5 891961663 +763 157 4 878917467 +863 326 5 889289157 +846 239 4 883947694 +77 28 5 884753061 +763 70 5 878917468 +676 328 5 892685657 +536 1063 5 882359938 +859 1014 4 885775564 +727 820 2 883709539 +846 1018 4 883949421 +276 260 3 874786439 +536 179 2 882359625 +646 893 3 888529080 +655 46 4 887523403 +647 831 3 876776321 +268 25 3 875742556 +361 70 4 879440386 +756 435 3 874832788 +708 25 3 877325838 +886 1303 1 876033987 +466 1607 5 890284231 +642 1136 4 888123195 +655 1278 2 887433780 +483 743 1 893098548 +606 405 4 878148493 +145 901 1 885556116 +881 183 4 876537995 +592 547 4 882607910 +411 276 3 892845575 +655 520 3 887523427 +795 97 2 881529761 +835 526 3 891033927 +751 1078 3 889299290 +881 161 3 876538506 +79 1 4 891271870 +768 151 2 880135923 +450 1115 4 882395778 +45 111 4 881011550 +634 1047 3 875729668 +26 369 2 891379664 +181 1163 2 878963086 +405 417 2 885548836 +870 770 4 875679992 +881 514 4 876537457 +728 546 2 879443155 +353 260 1 891402617 +876 48 5 879428481 +417 17 4 879648183 +857 325 1 883432397 +698 258 3 886365527 +261 326 4 890454279 +524 499 4 884637598 +761 295 4 876190130 +696 245 4 886404208 +681 690 4 885409770 +293 455 2 888905229 +880 348 4 892958376 +663 322 4 889491739 +886 232 3 876032973 +453 515 4 876191626 +632 591 4 879459053 +290 809 4 880475664 +889 488 2 880180265 +820 315 3 887954828 +339 515 5 891033072 +768 121 4 883834705 +113 325 4 875935610 +176 876 3 886047375 +786 99 4 882843112 +301 294 4 882074408 +1 203 4 878542231 +450 196 5 882371526 +63 1138 2 875747789 +487 289 2 883441083 +862 478 4 879305016 +600 570 4 888452563 +896 1101 2 887159110 +177 96 3 880130898 +843 542 2 879448392 +896 403 1 887160554 +378 40 3 880333653 +313 172 4 891014335 +864 13 4 877214125 +682 946 4 888523155 +598 691 2 886710330 +699 831 2 884152570 +660 385 3 891199883 +385 419 2 879442606 +561 1131 4 885807173 +690 8 4 881177430 +389 509 4 880614449 +864 386 3 888891288 +721 216 5 877138498 +873 300 4 891392238 +363 315 3 891493603 +457 196 5 882397763 +642 67 4 885843025 +393 344 3 891364581 +68 713 2 876974073 +5 406 1 875635807 +451 327 4 879012580 +488 173 4 891294473 +293 956 3 888906726 +460 313 4 882910837 +457 151 5 882394010 +253 655 4 891628142 +486 1322 3 879875347 +880 566 3 880167880 +13 531 3 882140104 +864 163 4 888888680 +693 1135 3 875482689 +506 399 5 874874054 +824 294 3 877021002 +210 654 5 887737559 +880 931 3 880243564 +312 660 4 891699321 +401 604 4 891033370 +487 150 5 883442430 +788 645 3 880870626 +881 135 4 876537900 +796 196 5 892675693 +374 1048 3 880394179 +636 100 5 891448228 +858 292 3 879459087 +554 22 4 876232794 +63 748 4 875747010 +738 214 4 875350157 +601 99 3 876350536 +52 1085 4 882922454 +864 222 4 888887502 +655 655 3 888474285 +838 143 5 887067631 +848 162 2 887048541 +878 794 4 880869418 +33 329 4 891964326 +692 25 4 876953340 +812 294 5 877625367 +757 156 3 888445551 +361 216 5 879440740 +554 230 5 876369968 +422 670 2 879744143 +637 121 4 882904458 +867 524 5 880078604 +864 173 5 888889129 +455 455 3 879111862 +109 209 1 880572756 +713 345 3 888881939 +758 474 5 881976089 +870 549 2 879270213 +618 443 4 891308665 +782 266 1 891498919 +747 480 5 888639060 +807 485 5 892531977 +187 83 5 879465274 +753 195 1 891401851 +298 526 5 884182573 +336 367 3 877757910 +852 930 3 891037777 +290 235 3 880474451 +761 326 1 876189715 +711 82 3 879994632 +825 870 3 880931932 +465 428 3 883531246 +43 70 4 883955048 +887 1015 5 881377933 +590 116 5 879439196 +844 318 4 877382762 +328 939 4 885046655 +407 675 3 876349153 +877 59 5 882677012 +630 756 4 885667551 +329 302 5 891655191 +661 972 3 876016581 +447 227 2 878856233 +293 218 2 888906168 +248 172 4 884534992 +10 654 5 877886597 +639 1465 2 891239048 +883 69 2 891717356 +881 179 5 876538400 +731 648 4 886183515 +889 1589 5 880177219 +642 944 5 885605987 +833 427 3 878078390 +686 97 2 879546847 +846 46 4 883949199 +313 58 3 891015387 +655 287 3 890497592 +592 1010 5 882608357 +773 2 3 888540146 +838 302 4 887060659 +640 496 4 874777491 +356 312 3 891406317 +846 1133 2 883950711 +727 1 3 883708660 +639 116 3 891239739 +788 228 3 880870365 +854 487 4 882813990 +727 206 3 883711896 +893 426 4 874829733 +402 483 5 876267173 +286 116 5 875806888 +691 631 4 875543025 +311 210 5 884364652 +896 108 3 887159854 +601 259 1 876346515 +858 181 2 879460595 +702 687 1 885767629 +640 47 4 874777735 +279 862 5 875313646 +424 100 5 880859446 +661 230 4 888300344 +605 117 2 879365748 +845 272 3 885409374 +592 890 1 882607745 +852 678 3 891036414 +682 1188 3 888519408 +846 1101 3 883948685 +804 972 3 879445783 +365 309 1 891303566 +606 1055 4 880923690 +790 173 3 885156046 +882 186 5 879879731 +870 1006 2 881001249 +653 657 4 890181185 +882 215 5 879867816 +410 354 3 888626481 +591 79 4 891031171 +193 121 3 889125913 +57 117 4 883697512 +634 222 3 875728913 +308 73 3 887738972 +552 284 3 879222071 +844 69 5 877388182 +790 42 5 885156686 +878 286 4 880865183 +510 322 3 887667752 +595 948 3 886920919 +660 1110 2 891201823 +764 28 4 876245069 +755 311 4 882569771 +248 98 5 884534673 +799 654 5 879254027 +631 334 2 888464941 +846 504 5 883948221 +560 268 4 879975173 +782 1283 2 891499469 +650 568 3 891381709 +868 452 2 877111394 +382 334 5 876802971 +883 53 5 891696999 +449 60 5 880410652 +712 755 4 874957113 +842 268 5 891218059 +835 215 4 891033199 +862 22 5 879304571 +766 496 5 891309767 +592 89 4 882955543 +606 55 4 880926245 +437 415 4 880143591 +386 597 3 877655145 +805 7 5 881694693 +796 173 5 892662483 +764 866 4 876244181 +655 1634 2 888474019 +555 129 4 882385841 +543 367 4 876105366 +848 125 5 887040159 +463 475 3 877385341 +303 128 4 879467542 +466 184 4 890285113 +450 133 5 882373019 +889 196 5 880180612 +666 866 2 880313582 +894 134 4 879897198 +861 86 5 881274630 +91 511 5 891439243 +90 212 4 891384147 +892 87 5 886609263 +541 511 4 883864739 +159 1221 5 884027141 +879 1 4 887761865 +505 102 1 889334526 +666 89 4 880139149 +828 83 3 891036826 +703 596 3 875242912 +479 526 4 879461378 +454 1126 2 888266955 +645 239 3 892055445 +663 682 3 889491891 +734 423 4 891022734 +728 147 4 879443418 +95 195 5 879196231 +234 832 2 892335501 +698 482 2 886367406 +606 963 5 880923925 +768 966 4 883834814 +662 985 4 880571006 +682 249 3 888518722 +582 1014 4 882962247 +889 886 3 880176666 +618 127 5 891307619 +537 448 3 886032001 +479 95 4 879461818 +846 400 1 883950889 +450 620 4 882399818 +504 440 3 887910370 +710 334 2 882063327 +806 162 3 882388557 +802 484 3 875985239 +886 108 5 876033200 +889 73 3 880181663 +194 387 2 879527146 +882 105 3 879863735 +385 98 4 879442189 +450 310 4 887660650 +804 63 4 879445334 +297 210 4 875410100 +896 281 2 887161172 +660 230 3 891199856 +846 1182 2 883950488 +846 837 5 883948495 +429 28 3 882385636 +666 144 3 880314144 +372 674 5 876869512 +249 407 3 879640618 +758 231 3 881979012 +9 201 5 886960055 +804 826 3 879443776 +653 294 2 878853618 +682 274 4 888521740 +896 67 2 887160983 +727 29 3 883712603 +630 687 3 885666301 +717 975 2 884642843 +796 232 3 893048911 +886 273 2 876032274 +493 173 4 884131114 +603 216 4 891957139 +883 882 4 891691388 +886 419 3 876032353 +853 873 3 879365091 +18 22 5 880130640 +365 591 4 891303901 +698 199 2 886367065 +181 884 1 878961847 +244 249 4 880604930 +666 1021 5 880139669 +869 312 2 884490251 +533 120 1 879366160 +678 1115 3 879544815 +896 310 4 887157208 +51 181 5 883498655 +846 739 4 883949459 +506 323 3 875444631 +740 269 4 879523187 +665 12 4 884294286 +551 796 4 892785264 +481 484 4 885828686 +749 197 4 878848044 +878 126 3 880865940 +745 258 5 880122502 +727 435 3 883710687 +870 487 4 879270313 +500 821 2 883876837 +753 504 3 891401457 +388 680 5 886439808 +871 259 3 888192971 +798 283 5 875637963 +892 441 3 886610267 +450 618 4 882373995 +536 423 4 882360601 +332 307 5 888098170 +764 15 4 876242945 +814 443 3 885411132 +897 1 5 879994113 +642 1209 3 885606212 +554 756 3 876231938 +328 915 3 893195665 +594 357 4 874786664 +878 22 2 880866918 +279 373 4 875659844 +706 294 4 880996945 +682 948 2 888516865 +751 485 4 889134483 +399 181 3 882342689 +405 1311 1 885546859 +657 118 1 884240732 +777 521 5 875980235 +796 928 2 893194929 +779 71 4 875999285 +75 1152 1 884050502 +214 357 5 892668130 +848 195 3 887040097 +763 505 4 878919206 +848 99 3 887038397 +724 678 2 883757874 +642 122 2 885606463 +682 25 4 888521564 +405 161 1 885547997 +847 180 2 878939945 +847 183 4 878940332 +370 222 3 879434746 +851 313 4 883148627 +853 879 4 879364955 +419 275 5 879435520 +843 511 3 879447837 +606 173 5 880924859 +734 165 3 891025393 +458 603 4 886397155 +659 98 4 891045943 +825 1016 3 880756077 +663 1051 3 889493118 +711 241 4 879994536 +894 269 3 879896041 +560 476 2 879977124 +655 1296 3 891585242 +844 109 2 877381850 +314 508 3 877886789 +831 250 5 891354931 +293 420 4 888907356 +518 288 3 876822581 +363 429 5 891496077 +820 264 3 887955180 +399 378 3 882348284 +561 675 3 885808904 +383 205 4 891193210 +815 404 4 878695147 +504 939 4 887838869 +537 486 3 886031149 +862 433 4 879304445 +658 7 4 875145879 +271 690 4 885844430 +513 252 5 885063549 +839 220 3 875753029 +705 720 5 883428178 +469 199 4 879524006 +727 239 4 883711449 +393 597 3 887745293 +890 237 3 882575209 +293 571 2 888908041 +679 223 5 884487052 +450 300 4 882216475 +622 482 3 882592178 +788 492 3 880868235 +642 356 4 886132104 +758 273 4 881977714 +664 302 4 876523093 +347 200 4 881654452 +833 597 1 875133458 +826 627 4 885690342 +864 603 4 888888025 +131 744 4 883681384 +653 53 2 880153304 +829 640 3 881707829 +828 213 2 891037865 +717 678 3 884641842 +345 87 5 884991984 +7 546 4 891353444 +690 554 3 881180005 +291 1090 2 875087634 +423 307 3 891394673 +787 324 2 888979605 +328 657 4 885046134 +830 97 4 892502984 +540 628 3 882157148 +75 1048 4 884050705 +13 202 5 882141425 +807 678 3 892527569 +707 212 4 886286792 +862 429 5 879304526 +507 250 5 889966024 +890 181 4 882405808 +823 160 4 878438232 +620 123 3 889987190 +158 217 5 880133095 +693 378 2 883975537 +421 709 4 892241389 +694 511 5 875728048 +271 480 4 885848475 +890 89 4 882403446 +632 385 4 879458649 +547 289 3 891282775 +684 168 4 878761120 +618 109 2 891308615 +14 473 5 876964936 +398 72 3 875719399 +705 623 5 883427778 +823 164 3 878437658 +864 123 4 888890594 +588 82 5 890024829 +696 906 3 886403769 +222 537 4 881060735 +796 1 2 892660251 +846 172 4 883949834 +880 597 3 880167436 +727 926 3 883709438 +577 161 5 880475561 +698 588 4 886367558 +541 404 4 883874646 +853 292 4 879364669 +746 449 1 885075476 +705 89 2 883428083 +890 340 4 882402181 +750 683 1 879445911 +788 474 3 880868599 +790 288 4 884460942 +867 1608 2 880078110 +897 597 5 879993519 +451 330 3 879012721 +707 606 4 886285762 +887 993 5 881378251 +374 572 2 880938255 +839 129 4 875751893 +833 434 3 875038888 +881 141 3 876538889 +463 819 1 889937778 +818 322 2 891870389 +704 175 3 891397712 +626 258 4 878771243 +840 97 3 891205041 +796 183 5 892662441 +524 241 5 884635205 +18 210 5 880131054 +141 409 5 884585274 +621 676 3 880737607 +354 602 3 891217717 +535 699 4 879619000 +710 874 3 882063254 +379 193 4 880524783 +741 423 3 891018339 +758 33 4 881976335 +727 246 4 883708806 +790 231 4 885158057 +764 432 5 876245421 +565 381 2 891037628 +698 648 4 886367100 +249 179 5 879641140 +868 232 1 877109082 +56 50 5 892737154 +881 281 3 876536439 +675 318 5 889489273 +537 272 4 886028446 +889 655 4 880178224 +890 163 3 883010005 +683 22 4 893286550 +586 451 4 884067422 +892 226 3 886610201 +807 73 3 892532030 +606 260 3 887059561 +747 268 5 888638091 +846 238 5 883948377 +398 202 3 875725256 +795 386 3 883254649 +233 127 5 877661364 +641 50 3 879370150 +393 687 3 887742916 +814 675 3 885410957 +655 1214 2 891999461 +793 288 4 875103584 +825 258 4 880932625 +826 232 3 885690713 +535 425 5 879618338 +880 1284 4 880167355 +149 245 3 883512813 +658 86 4 875147873 +887 369 5 881378896 +770 93 5 875971989 +505 471 4 889333392 +831 150 3 891354815 +852 841 4 891037625 +880 879 3 880166529 +749 232 4 878848483 +322 346 3 887313611 +728 285 4 879443446 +554 1012 3 876231839 +684 49 4 878762243 +863 242 4 889289570 +496 150 2 876064230 +862 121 5 879304196 +864 215 4 888888994 +508 208 5 883776748 +747 508 5 888638876 +234 557 1 892335989 +639 582 3 891239739 +617 1021 4 883788730 +758 780 5 882054468 +450 114 5 887660504 +47 301 4 879440333 +880 451 2 880243230 +677 678 4 889399113 +883 709 5 891694431 +442 68 3 883390416 +889 1103 2 880180071 +845 1434 4 885409719 +334 225 3 891545645 +749 96 5 878847498 +731 196 5 886186811 +846 606 4 883948685 +387 430 3 886482882 +7 443 5 891353254 +766 175 3 891309118 +830 523 4 891898661 +701 311 5 891446679 +430 528 4 877226164 +299 93 2 877877775 +70 684 3 884149646 +456 1017 4 881372574 +271 792 4 885849536 +194 657 4 879521328 +537 1005 3 886031752 +805 541 3 882216971 +271 763 3 885847876 +897 472 5 879993620 +374 527 4 883628801 +789 50 5 880332114 +653 179 4 880149927 +731 427 5 886186940 +773 176 4 888539962 +561 70 4 885808673 +561 86 4 885809064 +863 361 5 889289618 +685 299 2 879451540 +887 1 5 881377972 +13 750 5 883670552 +379 644 5 880961648 +85 1070 4 879453809 +399 144 3 882342689 +697 288 2 882621431 +881 112 2 876536978 +632 82 4 879457903 +889 728 3 880181995 +554 204 5 876550610 +373 80 3 877107235 +198 462 3 884209535 +727 167 2 883713419 +676 471 3 892686273 +387 248 4 886481151 +833 1231 4 875132237 +878 212 3 880867987 +623 210 5 891035112 +781 174 5 879634256 +13 817 1 882396914 +171 288 2 891034606 +758 657 5 881975213 +458 129 4 886394667 +374 756 3 882157967 +165 174 4 879525961 +313 654 5 891013681 +648 275 5 882211016 +901 275 3 877130677 +780 187 5 891363904 +727 369 2 883709948 +655 375 2 888984293 +545 98 5 879899861 +823 642 4 878439089 +489 902 4 891448931 +181 847 1 878962550 +894 302 4 879896041 +379 96 5 880741811 +825 515 4 880756076 +846 673 4 883949422 +545 423 4 884134114 +495 665 1 888637169 +43 542 3 883956518 +572 319 4 879449209 +760 1037 5 875668781 +880 1001 2 880167435 +627 100 5 879529702 +751 226 3 889134237 +417 172 3 879647519 +505 127 1 889333711 +780 511 5 891364027 +271 2 1 885849386 +293 175 2 888906244 +629 475 4 880117121 +543 792 4 877550535 +494 121 4 879541429 +13 506 5 882140691 +488 289 1 891293263 +843 672 3 879443297 +886 118 1 876032673 +757 432 3 888467269 +209 1086 4 883417667 +586 83 2 884059196 +509 268 2 883590443 +815 1078 2 878695903 +803 688 1 880055043 +774 774 1 888557883 +369 179 4 889428442 +655 1256 3 887425655 +889 381 4 880180784 +308 185 4 887736925 +212 87 5 879304010 +634 544 3 875729478 +788 809 3 880870401 +545 78 2 884134578 +553 559 3 879949251 +577 1517 3 880475644 +168 458 1 884288058 +896 525 5 887158164 +7 651 5 891350932 +829 855 4 881698934 +23 367 4 874785957 +889 1267 3 880182629 +648 183 5 884368442 +840 495 3 891209322 +399 388 2 882350791 +493 369 2 884130271 +871 241 3 888193385 +682 881 3 888521291 +388 302 5 886438122 +379 331 4 880526281 +660 254 1 891357371 +417 596 3 879646244 +840 285 4 891203203 +896 212 2 887160582 +305 729 3 886324712 +765 522 5 880346951 +746 1 4 885075714 +592 358 1 882607690 +314 283 4 877886483 +65 25 4 879217406 +682 98 4 888520638 +503 277 4 879438580 +892 1219 2 886611079 +716 601 4 879794892 +707 311 4 879439624 +484 274 4 881450085 +385 855 5 882081995 +774 692 1 888556121 +272 234 4 879455143 +585 165 4 891284184 +666 163 3 880567742 +487 222 4 883442018 +892 661 5 886608473 +867 498 4 880078401 +617 859 3 883789590 +723 169 4 880498938 +750 288 4 879445808 +827 690 3 882807503 +429 433 3 882385858 +599 288 4 880950997 +573 180 4 885844091 +665 257 3 884292654 +598 347 3 886710330 +676 890 1 892685900 +416 38 3 886318228 +574 340 1 891279174 +749 746 5 878848764 +716 393 3 879796596 +561 87 3 885809197 +749 322 4 878846422 +405 229 1 885548048 +647 121 4 876534274 +654 215 4 887864587 +410 323 3 888626990 +805 5 4 881695293 +491 284 3 891185330 +371 449 3 880435733 +779 21 5 875996932 +627 471 3 879530463 +283 91 5 879297965 +343 410 3 876403212 +201 468 4 884140927 +773 1240 3 888539256 +713 342 3 888882179 +236 179 1 890118417 +749 237 3 878846782 +545 117 4 879899233 +21 769 1 874951916 +42 941 4 881109060 +13 69 4 884538766 +848 95 5 887041354 +718 1047 3 883349442 +892 432 4 886610996 +870 704 3 879714532 +629 193 5 880117565 +116 603 3 876454174 +746 222 3 885075267 +864 245 4 887686369 +896 136 5 887158768 +875 923 5 876465370 +709 508 4 879846590 +698 172 5 886367100 +813 988 3 883752528 +878 402 4 880869303 +721 77 5 877147200 +493 151 3 884130516 +853 301 1 879364744 +899 208 3 884121857 +901 509 4 877288977 +741 478 5 891456741 +727 79 4 883710806 +782 681 3 891498436 +826 11 4 885690526 +142 147 1 888640356 +221 1098 4 875245283 +833 385 3 875039204 +896 752 1 887161916 +311 1297 4 884365654 +505 742 4 889334162 +291 173 5 874871800 +450 511 5 882372178 +592 333 5 882607476 +316 174 1 880854539 +548 79 5 891044482 +385 59 2 879442490 +666 607 4 880139563 +747 1159 2 888639685 +779 195 5 875999211 +840 79 4 891204135 +622 1408 1 882672922 +715 1215 1 875962762 +365 316 4 891303638 +798 805 4 875743813 +749 510 4 878847404 +657 282 3 884239745 +825 281 3 880756678 +398 178 5 875718614 +503 1475 5 880382768 +764 743 1 876243100 +648 431 5 884882664 +878 71 4 880870130 +705 826 4 883428238 +457 226 3 882548825 +141 407 2 884585523 +846 1239 2 883950634 +774 528 4 888556698 +702 227 4 885767775 +671 226 3 883949693 +380 215 3 885479163 +642 141 4 886568744 +602 1 4 888638547 +798 280 2 875554523 +690 581 2 881180109 +409 435 3 881107310 +766 568 2 891310313 +833 558 4 875039204 +763 144 3 878915722 +286 988 3 875806722 +551 597 4 892784976 +677 14 1 889399265 +875 514 5 876465112 +125 709 3 879454891 +640 346 4 886353742 +13 902 3 891749765 +495 1245 5 888633129 +661 8 5 876016491 +457 378 4 882548312 +848 165 5 887038397 +627 230 4 879531397 +824 292 3 877020927 +833 185 5 875039416 +655 238 3 887473831 +727 127 4 883708830 +428 294 4 885943651 +561 511 4 885807510 +882 559 3 879876806 +719 293 3 883982002 +339 655 4 891033452 +368 127 4 889783678 +579 1110 1 880952516 +288 197 5 889225574 +881 630 4 876539187 +584 431 3 885774702 +777 1079 2 875979431 +886 173 5 876031932 +831 174 5 891354534 +634 288 3 875729178 +844 216 5 877388183 +682 151 5 888523115 +840 531 5 891204089 +18 72 3 880132252 +748 153 4 879454930 +771 1 5 880659449 +782 1251 3 891500028 +22 62 4 878887925 +363 735 3 891496077 +650 214 3 891369587 +90 1136 3 891385899 +889 402 3 880182496 +699 340 4 893140639 +731 705 5 886182632 +506 855 4 874874802 +840 507 4 891208667 +880 802 3 880167918 +533 934 3 879366118 +519 350 5 883250102 +276 501 4 874793035 +699 191 3 878883173 +705 99 3 883427691 +648 1028 2 882212288 +717 280 4 884642738 +711 496 5 879993073 +429 473 3 882387551 +504 517 4 887832782 +618 962 1 891307784 +655 899 2 887433492 +867 295 4 880078069 +753 180 2 891401712 +64 132 4 889737851 +804 511 4 879442792 +715 697 2 875963566 +882 15 5 879862141 +629 132 5 880117395 +727 5 3 883711680 +263 260 2 891297677 +894 845 3 881443365 +823 692 4 878439438 +831 258 2 891354020 +846 578 3 883949200 +287 235 4 875334248 +826 802 4 885690854 +897 214 5 879990923 +493 24 4 884130593 +730 410 1 880310440 +787 750 5 888979075 +44 194 5 878347504 +805 725 3 881705672 +712 729 5 874730491 +405 168 1 885547124 +385 427 4 879441386 +406 672 2 879792897 +506 518 4 874873198 +279 100 4 875249259 +852 515 5 891036414 +577 627 5 880475339 +664 56 4 876525962 +453 4 4 877554490 +843 450 2 879444083 +75 508 4 884050102 +188 194 3 875073329 +429 72 2 882387551 +248 121 2 884536206 +830 313 5 891462165 +62 704 2 879375477 +592 346 4 885280098 +821 106 2 874793196 +891 50 4 891638682 +619 566 4 885954105 +298 199 4 884127690 +788 1277 3 880870583 +391 215 4 877399100 +878 530 5 880872619 +416 614 5 893212572 +664 702 4 876526052 +881 151 2 876536241 +595 222 3 886921274 +881 118 4 876536332 +764 13 2 876242755 +625 1020 3 892000629 +896 686 3 887159146 +145 106 4 875270655 +623 216 4 891034756 +568 479 5 877906995 +899 694 5 884121009 +262 650 4 879792604 +189 433 5 893266326 +738 161 4 875350720 +746 202 5 885075518 +470 1084 3 879178406 +717 307 5 884642133 +903 1132 3 891031949 +533 182 3 879191265 +604 218 3 883668175 +637 1244 1 882904458 +13 690 3 881514811 +848 640 1 887037935 +721 181 5 877138951 +580 348 3 884124382 +670 611 5 877975129 +782 298 4 891499278 +826 228 3 885690600 +758 20 4 881976574 +595 864 4 886922069 +586 54 3 884068393 +493 154 4 884131952 +655 251 3 888984417 +880 1267 4 880242356 +145 222 5 885557660 +846 232 3 883949290 +835 197 5 891033889 +899 209 5 884121173 +804 24 5 879443776 +822 926 2 891040155 +886 208 3 876031764 +212 317 5 879303638 +894 752 3 888280083 +394 771 4 881060366 +277 221 4 879544146 +784 898 4 891387895 +543 423 3 874863035 +621 367 3 874962900 +854 147 3 882812492 +889 81 4 880180849 +808 245 4 883949822 +699 127 3 878881828 +174 1091 3 886515591 +552 280 3 879222002 +565 515 5 891037803 +868 101 4 877109996 +693 79 4 875483330 +806 133 5 882389908 +880 118 3 880167551 +597 118 3 875343067 +606 678 3 877642127 +606 206 4 880927552 +774 826 2 888558623 +230 161 5 880485468 +588 117 4 890027062 +697 833 3 882622228 +776 635 4 892920403 +389 77 2 880088922 +851 132 4 875731370 +896 849 2 887161563 +894 255 3 879896836 +539 275 4 879787917 +805 99 2 881695560 +13 558 1 882397011 +896 744 3 887160040 +110 54 4 886988202 +498 10 5 881960711 +880 1518 2 880242422 +648 1029 2 884882636 +177 1110 3 880131123 +796 222 5 892660364 +804 181 5 879440947 +761 471 3 876190336 +442 410 4 883388508 +805 259 1 879971049 +561 238 4 885807547 +472 1014 4 875978191 +880 4 4 880167843 +886 357 4 876031601 +492 527 5 879969879 +452 815 2 875277472 +882 1015 3 879863457 +402 510 5 876267235 +507 50 5 889965997 +821 763 3 874792491 +379 381 5 885063301 +904 9 4 879735316 +886 3 3 876032330 +303 1182 2 879543459 +397 268 4 889760703 +533 143 4 879438850 +18 59 4 880132501 +833 665 3 875224309 +264 675 4 886122352 +819 303 4 879952508 +795 217 1 883774317 +889 1074 3 880181515 +545 566 4 879899438 +235 82 2 889655403 +456 1198 4 881371595 +378 239 3 880055148 +887 111 5 881378370 +889 576 3 880182541 +520 310 4 885168862 +537 539 1 886029212 +758 109 3 881975687 +587 877 2 892871372 +786 732 4 882843353 +291 249 4 874805893 +546 313 2 885139580 +617 345 1 883788511 +619 808 3 885954053 +401 471 4 891032495 +533 126 4 879192414 +357 456 3 878952265 +815 501 3 878694028 +587 330 3 892871372 +760 172 3 875667294 +823 1135 3 878437836 +883 30 4 891693058 +334 753 4 891545741 +886 7 5 876031330 +514 216 5 875309350 +177 678 3 882142086 +707 194 4 886286246 +774 926 1 888558946 +454 317 4 888267343 +732 305 2 882590201 +837 20 4 875721919 +43 546 4 875975613 +706 471 4 880997172 +758 186 5 881974931 +390 258 5 879693461 +883 194 3 891694218 +112 310 4 884992444 +659 792 4 891384003 +667 216 4 891034894 +500 407 3 883877252 +622 111 4 882591014 +868 403 2 877111837 +907 1057 3 880159151 +846 229 3 883949771 +766 729 3 891310394 +463 1606 2 889936565 +864 124 5 877214158 +487 546 3 883444674 +655 1268 3 892914357 +796 403 4 893048410 +303 866 2 879485277 +731 1503 5 886184578 +577 735 5 880474338 +543 13 3 876896210 +711 829 2 879992018 +568 641 5 877907596 +704 603 5 891397262 +839 950 4 875752408 +840 638 3 891204239 +871 337 3 888192475 +880 578 3 880168411 +870 238 4 875050865 +666 26 3 880568505 +682 393 4 888521711 +653 638 1 878866636 +791 322 4 879448128 +905 333 3 884982806 +774 200 2 888557715 +868 1028 3 877103195 +780 496 4 891364027 +553 611 5 879948386 +764 289 5 876244991 +456 461 4 881373168 +588 1240 5 890025864 +433 276 5 880585843 +697 50 5 882621913 +380 238 3 885479057 +339 222 4 891033512 +487 259 2 883441083 +846 1540 3 883949121 +795 3 2 880561783 +6 170 4 883602574 +6 223 4 883600747 +874 321 3 888632275 +63 259 3 875747047 +907 763 5 880159081 +757 155 2 888469095 +757 101 4 888467309 +833 1071 3 875134150 +904 289 5 879735177 +524 1041 2 884636746 +499 663 5 885599718 +826 101 5 885690442 +454 66 4 888266685 +711 52 5 879993534 +812 748 5 877625368 +406 132 5 879445430 +567 297 3 882426246 +655 1267 2 887427840 +763 73 3 878919180 +435 820 1 884132367 +345 781 3 884993636 +474 434 4 887928562 +798 1283 4 875295695 +896 458 1 887235027 +749 24 2 878849508 +659 490 4 891384215 +570 289 1 881262497 +276 575 2 874792310 +530 196 5 883784601 +862 276 5 879303079 +896 48 4 887158635 +233 435 5 877665324 +197 947 2 891410083 +757 658 2 888467765 +543 174 4 874864666 +801 326 4 890332885 +561 1478 3 885809626 +887 279 5 881378478 +659 88 2 891385955 +897 478 3 879991105 +715 405 3 875962374 +234 204 2 892079617 +727 196 4 883710514 +650 662 3 891371153 +854 535 3 882813364 +881 88 3 876538595 +826 432 3 885690379 +567 109 2 882425673 +792 129 4 877909753 +387 181 4 886479610 +505 1063 3 889334334 +553 275 5 879948552 +854 333 3 882811742 +774 227 5 888557383 +479 66 3 879462103 +317 678 2 891446887 +887 200 1 881380883 +303 21 2 879484004 +234 243 1 891034107 +226 513 3 883889256 +864 1135 3 888890594 +642 560 4 886568978 +850 172 5 883195301 +726 1059 5 889832806 +689 295 1 876676334 +682 135 4 888517484 +846 723 2 883948949 +826 53 5 885690900 +798 862 3 875914534 +830 181 5 891561673 +758 1007 5 880672727 +592 172 5 882956011 +881 642 4 876538027 +761 476 2 876190468 +894 1016 3 879896920 +846 748 3 883946477 +833 403 1 875133458 +751 1101 1 889298379 +322 505 4 887314119 +868 651 5 877103249 +263 199 5 891298914 +537 149 3 886030078 +280 550 2 891701764 +795 153 3 880569085 +387 477 1 886480733 +437 145 1 880143663 +491 319 1 891184567 +611 301 4 891636152 +468 297 4 875280462 +729 288 2 893286261 +871 781 4 888193541 +409 505 5 881107943 +501 411 4 883348564 +188 174 5 875072741 +815 713 4 878692016 +378 89 4 880046363 +627 68 4 879531429 +244 234 3 880606593 +870 52 2 880584400 +406 606 3 879445642 +659 97 5 891384798 +608 603 5 880403537 +666 480 4 880568063 +798 79 4 875638627 +774 161 2 888557409 +459 873 4 879561731 +201 1056 2 884113592 +580 1 3 884125243 +892 73 3 886610523 +553 480 5 879948552 +864 349 4 887686388 +794 1 4 891035864 +468 153 5 875287720 +840 513 5 891204295 +551 570 4 892785264 +715 79 5 875964579 +896 684 4 887158959 +881 282 4 876536773 +506 186 4 874875062 +535 223 5 879618207 +907 619 2 880159038 +630 237 5 885666823 +758 864 4 882053726 +543 515 4 876896210 +655 644 3 887474288 +896 713 2 887159630 +804 143 3 879442490 +795 581 4 883253316 +823 286 5 878437499 +757 570 3 888466683 +759 1 5 875227798 +293 429 4 888906045 +706 742 2 880997324 +181 410 1 878962955 +596 149 3 883539402 +639 549 2 891239427 +561 780 1 885810769 +737 173 4 884314970 +238 1258 1 883576666 +836 659 5 885754096 +108 7 5 879879812 +174 132 2 886439516 +890 172 5 882402905 +468 318 5 875293386 +738 88 3 875351712 +405 755 2 885548877 +255 7 2 883216358 +796 474 2 892663009 +875 171 5 876465370 +648 219 4 884883578 +792 696 3 877910241 +902 258 3 879463109 +821 435 4 874793773 +672 280 2 879787729 +643 42 4 891446750 +735 286 5 876697561 +629 300 4 880115923 +848 1101 5 887046533 +281 271 5 881200457 +500 735 4 883873941 +896 318 4 887158294 +661 219 2 876035968 +699 98 4 878883038 +506 8 5 874873374 +82 125 3 877452380 +855 60 3 879825528 +896 384 2 887160860 +833 552 3 875223976 +559 180 4 891035111 +312 648 5 891699068 +268 186 3 875310311 +588 1074 5 890032056 +344 22 3 884901180 +763 56 5 878919116 +830 202 5 891464148 +648 780 1 884882501 +851 932 3 875730455 +634 322 3 875729217 +645 772 3 892055728 +222 255 3 883815804 +567 679 4 882426055 +533 132 5 879191220 +804 615 5 879442298 +639 528 4 891239239 +738 474 4 875349775 +427 286 4 879700792 +373 197 3 877099352 +537 380 2 886032154 +796 38 5 893048505 +741 403 5 891456083 +859 762 5 885775437 +851 258 4 883148669 +533 88 4 879191902 +628 338 5 880776981 +894 638 3 882404669 +201 733 3 884140522 +417 171 3 879647800 +532 79 5 889235367 +821 318 5 874793368 +637 225 3 882904829 +897 127 5 879990647 +661 538 3 886830056 +294 281 3 889242035 +625 514 3 891262724 +293 235 3 888905146 +880 243 2 892958608 +4 324 5 892002353 +766 662 3 891310281 +595 336 2 886920966 +334 275 4 891544707 +497 590 2 879362461 +750 879 4 879445961 +891 591 4 891639497 +293 100 4 888904734 +841 323 3 889066880 +486 678 1 879874297 +815 393 4 878696473 +414 340 4 884999066 +682 246 5 888518659 +621 395 4 880739654 +617 269 1 883788511 +514 191 5 875318224 +898 288 4 888294529 +187 186 4 879465308 +877 640 2 882677311 +903 100 5 891031203 +901 1049 3 877127021 +503 226 5 879454841 +584 25 3 885778571 +734 318 5 891022648 +788 1273 3 880871771 +388 871 2 886440608 +655 301 2 887424991 +872 932 4 888479498 +692 1012 1 876953553 +765 971 4 880346911 +18 52 5 880130680 +846 540 2 883950711 +895 597 2 879438101 +18 716 5 880131676 +758 185 4 881975182 +507 597 5 889966089 +109 11 4 880572786 +663 183 4 889493770 +397 748 2 889760845 +690 121 3 881179906 +751 538 4 887134672 +271 539 1 885847170 +402 116 3 876267067 +566 736 4 881650690 +270 603 5 876955868 +456 1081 4 881372191 +553 1126 4 879948508 +896 325 1 887157732 +635 237 3 878879257 +603 176 2 891956776 +601 8 3 876348736 +618 65 3 891309720 +85 64 5 879454046 +655 79 5 887429559 +782 338 2 891498676 +705 225 4 883427594 +473 1007 4 878157329 +515 347 3 887658604 +868 176 4 877103248 +524 228 3 884636152 +907 100 5 880158712 +906 100 4 879434846 +682 26 3 888517986 +540 20 4 882157509 +276 531 4 874790801 +645 65 4 892054824 +868 202 3 877104264 +741 281 2 891455792 +497 790 2 879362720 +826 174 5 885690481 +221 578 4 875247023 +601 230 4 876350583 +524 1101 4 884635053 +655 1100 3 887427371 +835 281 4 891032718 +417 732 4 879647825 +222 654 3 878184087 +11 748 1 891902270 +862 11 4 879305172 +889 1134 4 880177219 +500 245 2 883864862 +454 468 3 888267087 +588 1180 2 890032056 +669 133 4 891260779 +442 150 4 883388283 +880 182 5 880167670 +789 294 3 880332275 +896 789 2 887157978 +621 240 4 880738893 +871 275 3 888193384 +899 216 5 884121885 +807 374 3 893083109 +75 988 2 884049820 +697 455 4 882622170 +429 672 2 882387551 +312 143 4 891698893 +769 1028 3 885424186 +453 354 4 888201923 +890 443 4 882404541 +655 171 2 887523641 +642 473 1 886131585 +165 127 4 879525706 +853 323 3 879364883 +374 762 5 880393460 +716 520 4 879794935 +758 452 3 882054468 +314 710 3 877888796 +416 938 3 892439155 +430 148 2 877226047 +707 962 2 886285792 +44 756 3 878346904 +292 150 4 881105135 +49 455 1 888068791 +328 1021 3 885045740 +87 804 3 879877083 +559 195 3 891034647 +21 628 3 874951616 +370 525 4 879434666 +778 180 4 890725725 +193 286 4 889122906 +411 1 4 892845604 +752 327 5 891208451 +655 356 3 887430804 +726 310 4 889828404 +262 369 2 879791160 +864 98 5 888886946 +870 17 4 880584752 +246 227 4 884922475 +493 174 3 884131211 +752 1294 3 891207898 +568 512 1 877907596 +661 172 5 876036358 +747 482 5 888639526 +94 568 3 891721974 +416 1077 1 886317030 +790 17 2 885157399 +845 269 4 885409493 +906 121 4 879435598 +863 1038 1 889289327 +793 250 4 875104031 +882 815 2 879861678 +788 471 3 880869862 +98 988 1 880498668 +144 174 5 888105612 +805 93 5 881704016 +601 455 4 876347148 +409 100 5 881107992 +561 479 4 885807547 +435 655 2 884131799 +458 238 4 886397679 +879 151 3 887761425 +804 558 3 879441627 +872 1 3 888479151 +551 596 5 892784049 +774 431 4 888557329 +778 56 3 891232041 +397 991 1 875063678 +181 108 1 878963343 +782 1588 3 891500067 +104 268 3 888442172 +537 607 4 886030682 +889 382 2 880178248 +178 51 4 882828021 +753 23 2 891401665 +868 474 4 877105882 +634 116 3 875729069 +903 318 5 891032793 +643 679 3 891447747 +200 230 5 884128400 +704 344 4 891397015 +621 161 3 874964447 +640 313 5 888639815 +758 959 3 881978864 +639 381 2 891239581 +407 844 2 884196984 +181 1011 1 878963204 +814 219 4 885411030 +892 127 5 886607878 +437 559 3 880143695 +449 251 3 879958603 +642 679 2 885606986 +7 70 1 891352557 +805 180 3 881698139 +327 180 4 887745774 +586 1249 3 884067058 +263 28 3 891298219 +659 174 4 891384215 +393 333 4 889554171 +165 187 3 879526046 +807 140 3 892530004 +232 589 3 888549790 +896 159 2 887160880 +840 747 4 891209490 +755 881 1 882569732 +802 7 5 875986303 +711 393 4 879994778 +894 288 3 879896141 +251 845 4 886272378 +396 117 4 884646191 +611 324 3 891636399 +113 292 3 875076105 +653 56 5 878853975 +275 181 4 876197615 +548 525 5 891044446 +486 742 2 879874693 +843 831 4 879444977 +479 204 4 879461583 +870 51 2 879714500 +319 301 4 875707721 +748 56 4 879455083 +660 83 3 891199556 +897 227 3 879992190 +526 333 3 885681935 +885 866 3 885713102 +346 188 4 874948252 +733 302 4 879535011 +807 101 4 893080637 +862 184 2 879305097 +887 1136 5 881381071 +642 732 4 885605538 +758 567 4 881978016 +729 748 4 893286638 +840 884 5 891203087 +711 423 3 879993534 +798 825 3 875638178 +904 97 4 879735678 +684 178 4 878760250 +864 294 4 878179381 +521 12 5 884477853 +824 304 3 877020964 +524 1421 5 884637147 +372 164 4 876869446 +882 471 4 879861562 +836 288 1 885753475 +497 432 3 879309993 +751 945 3 889133852 +889 494 3 880181275 +665 472 3 884291242 +537 958 2 886030652 +803 311 5 880054754 +653 4 3 878866755 +661 749 2 889500304 +239 209 5 889179032 +835 179 5 891033819 +870 559 2 879714532 +781 180 4 879633895 +875 133 4 876464967 +668 252 2 881702925 +671 79 2 883546120 +774 233 2 888557383 +407 186 4 876348198 +887 473 4 881378896 +863 258 5 889289122 +608 86 5 880403484 +847 258 5 878774722 +875 268 4 876464755 +757 121 2 888444635 +456 1134 4 881372281 +840 210 3 891204592 +178 781 4 882827716 +854 591 2 882812451 +535 520 4 879618058 +835 237 4 891035310 +498 772 1 881957999 +648 104 1 884367274 +881 98 5 876537612 +742 50 4 881335248 +499 886 4 885598215 +646 332 3 888528870 +881 97 3 876537613 +804 624 2 879445536 +537 963 3 886030805 +60 484 5 883326370 +571 357 4 883355063 +537 640 3 886031211 +632 11 4 879458142 +634 595 4 877017923 +508 210 4 883777125 +336 781 3 877757373 +326 195 4 879875752 +896 186 4 887159069 +456 1240 3 881374332 +690 546 4 881178383 +774 98 4 888557682 +539 603 4 879787985 +469 507 5 879523803 +512 286 5 888578937 +303 432 3 879468274 +831 331 4 891353979 +849 298 5 879695086 +889 56 5 880177857 +654 137 4 887863596 +308 472 2 887739336 +849 588 5 879695680 +833 647 4 875123427 +758 1019 4 881975736 +716 99 5 879796214 +674 222 3 887762839 +880 252 2 880167551 +350 98 4 882347832 +815 188 3 878693906 +883 1045 5 891717462 +452 1013 1 876215773 +900 458 2 877833326 +805 95 3 881695527 +650 603 4 891369836 +694 88 4 875727018 +455 291 3 879109984 +577 405 3 880470282 +450 435 4 882374332 +200 9 4 884126833 +468 427 5 875291722 +666 482 4 880567997 +487 179 3 883528237 +559 587 4 891034095 +898 319 5 888294676 +188 510 3 875071775 +201 1174 5 884140670 +608 262 3 880402368 +334 689 3 891544340 +561 1170 3 885809407 +151 371 4 879542891 +31 306 3 881547814 +416 323 3 876696739 +820 301 2 887955046 +230 431 3 880485254 +406 582 4 879793295 +453 402 3 888207161 +527 1101 4 879456691 +81 928 4 876534214 +334 186 3 891547128 +250 55 5 878091915 +885 432 4 885714820 +882 8 5 879864789 +279 1244 3 875298652 +459 1038 4 879561654 +406 485 3 879445735 +327 174 4 887744513 +899 685 3 884119954 +387 583 4 886483098 +749 576 3 878850533 +756 111 4 874829670 +796 684 5 892676195 +727 411 3 883709905 +766 217 4 891310650 +618 164 3 891309041 +823 423 5 878438780 +701 689 3 891446822 +299 97 4 878192680 +521 89 3 885253266 +537 1445 3 886031576 +864 951 3 888891288 +535 198 4 879618850 +607 707 4 883880027 +262 86 3 879791948 +660 151 5 891198335 +826 588 4 885690342 +268 550 2 875310524 +268 940 2 875743888 +387 435 3 886480483 +900 137 3 877832803 +538 96 4 877109669 +758 421 4 881975814 +711 747 4 879993871 +259 39 4 888720644 +798 321 3 875286981 +592 1067 5 882608698 +840 153 3 891204627 +484 419 4 891195825 +703 25 3 875242683 +472 175 5 875979910 +332 827 4 887938503 +886 1324 2 876032308 +363 393 4 891497925 +379 428 4 880568452 +585 52 3 891284184 +782 260 2 891498079 +868 615 4 877109375 +773 393 2 888539711 +760 204 4 875668105 +659 185 4 891332223 +13 274 3 882399384 +823 159 3 878438484 +379 529 4 891674436 +557 197 5 881179653 +395 100 4 883765155 +664 531 2 876523833 +399 223 3 882343012 +849 27 5 879695469 +524 818 3 884628308 +892 604 5 886608296 +381 1115 4 892697600 +908 56 4 879722642 +831 328 3 891354000 +735 298 4 876698897 +534 748 4 877807429 +889 211 4 880180765 +361 186 3 879440516 +780 657 3 891363723 +345 137 4 884991077 +588 550 3 890026513 +311 726 3 884366035 +684 282 4 875811274 +774 79 2 888557236 +82 112 1 877452357 +828 52 3 891037639 +395 186 5 883764817 +886 17 4 876032596 +868 179 4 877107056 +826 403 4 885690750 +309 286 4 877370383 +811 323 5 886377579 +796 1037 2 893047967 +900 130 1 877833512 +442 436 3 883390048 +378 928 2 880044488 +653 200 4 878866952 +159 866 5 880557539 +758 414 4 881977487 +903 994 3 891031883 +437 253 1 880141796 +884 179 5 876859109 +702 538 4 885767461 +744 657 5 881170575 +454 136 3 881959745 +673 301 3 888787450 +95 419 4 879198547 +717 890 1 884642001 +645 616 3 892054508 +821 234 5 874793574 +613 1315 4 891227338 +644 181 4 889077189 +456 208 4 881374710 +577 663 5 880474612 +881 924 3 876536850 +774 795 1 888555864 +694 673 4 875726926 +655 1041 3 887611537 +464 264 4 878354886 +829 14 2 881712488 +256 322 4 882150152 +796 720 4 893048562 +354 168 5 891218507 +747 287 4 888733182 +682 631 3 888517922 +472 79 5 892790953 +334 529 5 891547445 +417 228 3 879646915 +569 294 2 879793149 +862 479 4 879305351 +850 969 5 883194908 +804 133 3 879445904 +826 56 5 885690525 +610 318 5 888703378 +840 213 4 891205199 +405 1076 2 885549044 +377 258 4 891296356 +663 655 4 889493869 +867 195 5 880078452 +13 511 5 882139863 +180 191 4 877372188 +804 559 3 879445334 +845 1463 1 885409374 +733 282 3 879535814 +558 283 3 879436097 +495 179 5 888632470 +719 79 4 877310859 +800 257 4 887646980 +686 527 3 879547177 +554 289 4 876549656 +727 1303 2 883713737 +429 8 3 882386237 +805 934 1 881705611 +538 318 5 877106768 +624 245 3 879792109 +621 455 4 880738462 +655 709 3 888475039 +876 178 4 879428378 +334 815 3 891545540 +39 339 3 891400609 +181 1171 1 878962773 +493 118 4 884132898 +626 323 1 878771505 +889 568 3 880179785 +311 942 5 884366112 +880 280 2 880243204 +233 168 5 877663302 +379 419 4 880525794 +783 887 5 884326620 +788 519 4 880868235 +916 467 3 880844420 +798 239 4 875814157 +782 539 3 891498865 +823 184 3 878439629 +804 419 3 879444624 +911 357 4 892838954 +663 180 4 889493691 +421 218 4 892241687 +838 111 4 887064357 +813 358 3 883752606 +486 1609 3 879875220 +332 255 4 887938330 +659 1297 2 891387306 +450 748 4 882370410 +617 174 1 883788820 +847 168 4 878939912 +650 427 4 891383424 +642 156 1 886454965 +711 114 5 879992870 +62 171 4 879373659 +634 475 5 877018125 +771 403 4 880659769 +896 82 3 887159068 +821 1 5 874792813 +912 238 4 875966320 +881 81 3 876538666 +505 495 3 889333823 +56 114 4 892683248 +456 433 4 881373120 +883 20 4 891693723 +460 117 3 882912342 +912 1041 4 875966616 +776 196 3 891628773 +870 1041 2 879270213 +566 387 4 881651512 +831 347 3 891354191 +806 433 4 882389523 +18 419 3 880131878 +506 271 4 880198184 +504 717 4 887911730 +887 210 5 881379649 +371 185 3 880435519 +705 215 2 883518871 +782 993 3 891499370 +539 269 5 879787770 +301 128 5 882078228 +716 546 1 879794094 +711 77 3 879994749 +357 150 4 878951615 +847 410 1 878938855 +885 596 4 885714990 +747 631 5 888638957 +908 414 3 879723022 +896 144 4 887158333 +300 687 2 875650042 +880 347 5 892958301 +390 9 5 879694232 +624 1 4 879792581 +479 8 5 879461415 +63 3 2 875748068 +407 216 4 875552401 +629 55 4 880117094 +800 1047 3 887646804 +875 582 5 876465408 +847 176 3 878941398 +312 419 3 891699182 +825 717 4 889021088 +863 294 4 889289327 +294 276 4 877819421 +699 21 3 884152916 +804 323 4 879440765 +890 324 4 882404093 +18 714 4 880130334 +749 160 3 878847461 +894 221 4 885428233 +868 122 3 877113586 +468 529 3 875287686 +398 1041 3 875733660 +412 357 4 879717548 +870 92 4 875679861 +605 405 3 879429706 +102 1052 2 892993983 +894 1142 4 882404137 +862 175 5 879305172 +880 1002 3 880175527 +798 1544 3 875638925 +548 628 2 891415890 +840 203 5 891204627 +825 14 3 880755942 +532 633 5 888635197 +636 813 5 891448297 +456 1020 4 881373506 +532 480 5 893119491 +655 8 3 887477336 +434 476 4 886725076 +434 288 5 886724797 +543 237 4 876896210 +759 121 5 881476858 +828 1597 3 891037813 +320 238 4 884751672 +882 117 4 879861492 +345 1009 2 884991546 +90 171 2 891384476 +839 285 5 875752138 +896 385 4 887160426 +707 517 3 886287079 +821 70 4 874793933 +389 820 3 880089211 +758 569 3 881978460 +664 156 4 876526784 +894 328 4 879896466 +788 38 3 880871359 +908 156 3 879722603 +663 919 3 889492562 +863 1607 2 889288973 +472 375 5 875982680 +682 471 3 888517537 +806 195 3 882388328 +502 288 5 883701866 +789 181 4 880332437 +323 268 4 878738865 +630 496 3 885667854 +472 760 5 892790953 +650 423 3 891372316 +903 182 5 891380461 +487 628 4 883444558 +808 302 5 883949986 +582 235 3 882962803 +280 670 2 891702485 +551 357 5 892777274 +201 48 3 884111485 +815 418 4 878695744 +392 340 5 891037437 +914 724 3 887123464 +466 82 3 890284819 +168 118 4 884288009 +833 183 5 875123026 +723 289 2 880498816 +325 195 2 891478276 +548 310 3 891042474 +741 15 4 891456573 +303 1046 3 879468375 +839 319 1 875751411 +882 86 5 879867568 +152 724 5 884035936 +823 55 4 878438484 +887 1540 5 881380739 +788 222 3 880869945 +514 176 4 875463128 +608 131 4 880406032 +409 357 5 881107410 +334 150 4 891628832 +453 508 4 877552612 +334 846 3 891545318 +741 566 4 891455671 +608 483 4 880404916 +630 640 1 885668276 +393 879 3 887742798 +452 70 5 888492838 +276 508 5 874786467 +72 526 4 880037164 +894 249 3 879896872 +684 100 4 875810574 +844 625 3 877388040 +738 238 4 875349895 +842 269 5 891217834 +345 5 3 884992922 +650 294 3 891369190 +648 89 4 884797033 +881 291 3 876537177 +862 111 5 879302844 +883 16 4 891692713 +177 183 4 880130972 +825 926 4 880756643 +23 195 4 874786993 +795 150 3 883766579 +503 234 5 879454675 +506 233 4 874874109 +823 155 3 878439211 +279 1088 4 877756804 +269 521 4 891448048 +875 474 5 876465188 +769 405 2 885424214 +606 806 5 880923579 +606 234 4 880927179 +416 90 4 876699102 +334 220 3 891545513 +757 62 3 888466758 +751 746 4 889133219 +795 182 4 881530041 +721 938 3 877137359 +725 15 4 876106206 +752 305 4 891207940 +851 123 4 875730379 +885 186 4 885713434 +234 622 2 892335415 +451 1395 1 879012858 +192 1171 2 881368358 +757 122 1 888445218 +295 470 3 879518257 +642 739 5 886568838 +565 1622 4 891037478 +718 118 4 883348912 +852 181 4 891036414 +405 746 1 885547176 +548 742 5 891044596 +693 729 4 875482912 +424 508 3 880859519 +870 789 4 879705466 +560 483 5 879975406 +846 1267 3 883949728 +454 627 2 888267643 +847 39 2 878940531 +897 186 5 879994113 +11 318 5 891904194 +878 275 4 880865469 +561 676 3 885810674 +871 302 5 888192970 +650 186 4 891370998 +666 210 2 880139493 +647 70 3 876776321 +914 111 1 887124121 +638 435 3 876694787 +277 278 1 879543879 +693 222 2 875482524 +59 265 4 888205410 +722 756 3 891281369 +592 1070 5 882956158 +911 588 4 892840837 +11 449 3 891906327 +388 1 5 886436813 +885 70 5 885713585 +864 1119 3 888890548 +648 566 4 884882702 +839 292 3 875751559 +99 1048 4 885679411 +551 281 5 892784320 +504 127 5 887831510 +671 68 3 884035892 +847 234 2 878939645 +184 506 4 889909569 +174 280 5 886433862 +846 22 4 883948222 +621 94 2 874963081 +718 717 4 883349214 +682 890 2 888518564 +46 300 3 883611307 +916 1428 3 880845415 +169 443 4 891359418 +256 229 3 882164644 +548 226 5 891044596 +705 399 5 883427778 +152 596 2 880148941 +148 191 1 877020715 +454 465 3 888267343 +802 760 3 875986303 +716 514 5 879796331 +788 518 3 880869754 +804 378 4 879445605 +869 118 1 884492338 +887 181 5 881378040 +705 195 2 883428083 +493 234 5 884132037 +890 843 3 882916650 +798 259 5 875295566 +876 238 4 879428406 +795 727 3 881530317 +864 176 5 888887289 +846 64 4 883948221 +659 1138 4 891045266 +577 298 4 884819086 +586 930 2 884063080 +525 291 2 881086644 +896 133 2 887159502 +137 118 5 881433179 +478 591 3 889387958 +561 733 3 885809099 +877 955 4 882677936 +877 216 4 882677827 +715 157 4 875963024 +181 598 1 878962623 +659 1172 4 891332122 +757 385 3 888468596 +297 465 3 875238984 +658 212 3 875148059 +897 393 4 879991493 +499 425 3 885599474 +846 482 5 883948173 +194 367 3 879525624 +514 152 4 875318163 +561 1070 4 885809043 +756 210 4 874828902 +441 313 4 891035056 +398 414 3 875721111 +175 88 4 877108146 +468 952 3 875280310 +90 242 4 891382267 +440 749 3 891547746 +587 294 3 892871197 +20 633 4 879668979 +677 687 4 889399113 +782 292 4 891498213 +698 176 4 886366814 +880 831 4 880167411 +847 448 4 878940013 +692 326 3 876948579 +826 946 3 885690342 +385 61 2 879441572 +780 275 4 891363685 +716 480 5 879795025 +365 352 1 891303728 +392 191 5 891039015 +788 133 5 880868473 +378 382 4 880055520 +870 1134 4 879376967 +749 802 3 878850789 +618 924 4 891309040 +498 204 2 881957267 +774 418 2 888558019 +764 99 4 876246687 +537 964 3 886031407 +758 203 5 881978016 +728 742 4 879443321 +889 217 4 880182582 +13 152 5 882141393 +489 349 4 891449155 +757 68 4 888466435 +617 440 4 883789635 +497 364 3 879363233 +808 325 1 883949873 +905 258 3 884982806 +870 504 5 880584497 +479 201 4 879461142 +328 64 4 885046276 +643 33 3 891449417 +906 321 4 879434436 +647 568 4 876533832 +643 516 4 891447037 +733 1023 1 879544411 +622 121 1 882590955 +606 88 4 880926533 +870 272 4 890920916 +457 628 4 882393688 +416 803 3 886319177 +833 186 1 875133458 +452 492 4 875263413 +593 546 3 875659849 +782 324 2 891498381 +26 298 3 891371505 +551 168 5 892777723 +198 291 2 884205219 +878 736 5 880868035 +627 123 3 879530305 +457 566 4 882548583 +892 76 4 886609977 +292 603 5 881105318 +796 1041 5 893047287 +738 181 4 875348856 +393 538 3 887742071 +884 1214 1 876860434 +694 965 4 875727672 +377 895 3 891296307 +804 1047 3 879443852 +101 819 1 877136424 +32 7 4 883717766 +682 380 4 888517510 +805 735 4 881698139 +172 23 3 875537717 +423 127 4 891395394 +659 469 4 891385136 +560 211 4 879975752 +13 662 5 882399420 +773 1367 5 888538643 +896 398 2 887161469 +520 294 3 885170330 +864 7 5 878179608 +840 238 5 891204239 +844 151 4 877381674 +862 199 5 879304761 +234 466 4 892334368 +889 479 4 880177994 +560 617 3 879975661 +892 71 3 886608348 +682 552 3 888520977 +896 222 4 887159109 +593 763 3 875660105 +458 25 1 886394576 +493 257 5 884130495 +798 391 3 875915855 +834 343 4 890860416 +729 901 1 893286491 +742 237 4 881335960 +324 250 4 880575531 +474 491 4 887925187 +663 289 1 889491861 +896 273 5 887157947 +437 583 1 880143040 +232 900 5 888364663 +528 31 5 886101761 +449 288 3 879959082 +803 245 4 880055378 +452 576 2 875563050 +537 100 4 886029692 +373 177 3 877100161 +639 135 4 891239239 +750 305 4 879445877 +234 164 3 892334644 +345 262 5 884901701 +653 89 5 878854100 +828 306 3 891033342 +892 578 4 886609469 +618 136 3 891307931 +339 823 3 891035850 +416 451 5 893212623 +429 972 4 882387757 +101 225 3 877136814 +38 288 5 892428188 +871 947 2 888193177 +144 12 4 888105419 +546 898 4 885141260 +705 148 5 883427134 +222 541 2 878184973 +705 29 5 883428237 +445 460 2 891200624 +480 12 5 891208433 +423 879 3 891394558 +642 1179 3 885606048 +823 180 4 878439008 +533 474 3 879190771 +892 708 4 886607879 +774 947 2 888557276 +795 238 3 881266197 +828 1005 3 891037813 +363 73 2 891497234 +787 271 1 888979721 +733 149 4 879535440 +864 720 3 888891238 +198 31 3 884207897 +746 89 4 885075243 +807 231 4 892530705 +504 451 1 887912584 +586 779 3 884062856 +664 151 4 878091912 +883 529 5 891693012 +846 731 3 883949594 +751 756 2 889299249 +902 318 5 879465522 +804 472 3 879443976 +758 125 2 881977205 +221 150 5 875244557 +556 604 5 882136205 +294 258 3 877818457 +825 491 4 881101782 +54 240 4 880936500 +193 24 2 889125880 +643 185 5 891447157 +850 228 5 883195394 +802 396 2 875985840 +847 479 3 878940405 +831 326 4 891354275 +881 655 4 876539448 +911 168 4 892838676 +736 1278 1 878709262 +561 232 3 885810428 +561 510 3 885808673 +804 406 3 879444133 +825 176 5 881101641 +727 755 2 883712828 +679 721 3 884487611 +395 423 5 883764742 +667 196 5 891034993 +763 16 5 878918332 +719 378 4 879360555 +875 176 4 876465112 +865 122 3 880144539 +907 290 4 880159259 +859 846 5 885775612 +850 15 5 883195256 +38 326 5 892428688 +158 686 5 880134499 +686 430 4 879546786 +860 159 3 889984855 +880 928 2 880167435 +847 367 3 878940189 +143 307 4 888407622 +879 763 5 887761425 +639 52 3 891239838 +28 230 4 881961393 +577 742 4 880470504 +748 89 5 879454831 +786 871 1 882842762 +524 173 4 884637436 +868 151 5 877104879 +682 276 3 888517097 +896 98 5 887158359 +712 969 4 874729850 +314 934 4 877887155 +435 1240 4 884132296 +534 333 5 877807486 +524 98 3 884634615 +527 172 5 879456490 +632 55 2 879457857 +916 271 3 880843185 +916 232 3 880844897 +908 192 2 879722489 +880 8 4 880174677 +798 1183 1 875915190 +399 845 3 882340719 +660 307 3 891197503 +901 287 3 877126935 +893 264 3 874828296 +835 354 3 891032224 +307 222 4 879538922 +660 1483 3 892520856 +744 1 4 881171926 +773 354 2 888538143 +867 210 5 880078547 +540 473 3 882157687 +864 217 4 888891524 +871 883 3 888192475 +727 257 2 883708806 +311 198 3 884364812 +659 62 4 891386380 +660 135 4 891199833 +844 431 4 877387825 +894 273 3 880416220 +840 194 3 891204264 +582 748 3 882960601 +543 944 3 877547863 +457 1119 4 882398308 +702 343 2 885767629 +815 7 4 878691975 +211 1330 3 879460096 +796 280 4 893047208 +423 750 5 891394704 +833 325 4 875035885 +798 405 5 875296148 +125 90 5 892838623 +881 50 3 876535927 +650 15 3 891383594 +828 224 3 891035614 +13 62 5 882397833 +724 336 1 883757784 +194 97 3 879524291 +75 79 5 884051893 +416 690 5 893214127 +576 276 3 887080905 +566 2 5 881650739 +451 681 1 879012773 +141 1028 4 884585168 +871 237 3 888193386 +459 685 3 879563613 +660 41 1 891265453 +717 281 4 884642958 +727 444 2 883712851 +810 304 4 885406558 +798 228 3 875915639 +877 275 4 882677183 +640 761 5 874778613 +702 683 1 885767576 +880 235 3 880166990 +405 568 4 885547910 +25 1 5 885853415 +824 268 4 877020871 +466 50 5 890284819 +899 275 4 884119877 +830 820 1 891899475 +70 451 4 884065678 +85 630 3 879453623 +869 181 3 884490825 +535 529 3 879618655 +727 1244 3 883709859 +768 405 4 883834883 +622 49 3 882671273 +489 303 4 891448109 +198 248 3 884205385 +712 738 4 874956841 +271 692 4 885849582 +181 1329 1 878962240 +615 937 2 879447530 +536 144 4 882359962 +862 413 4 879303952 +793 696 3 875104303 +514 111 5 875463165 +648 25 2 882211760 +808 750 5 883949986 +907 724 5 880159642 +380 190 5 885478668 +681 294 5 885409938 +92 451 3 875660083 +342 289 2 874984067 +796 597 5 892661043 +867 11 3 880078547 +916 100 5 880843288 +13 53 1 882396955 +875 501 4 876465335 +593 133 4 876507391 +840 99 5 891204509 +739 97 5 886959115 +214 482 4 891544114 +298 174 5 884125022 +723 191 3 880499019 +833 451 1 875134016 +654 742 4 887863339 +293 436 3 888906990 +918 488 3 891987846 +757 546 3 888444881 +886 472 3 876033755 +840 509 3 891204564 +663 148 4 889492989 +891 278 4 883489438 +64 87 4 889737851 +806 511 5 882387520 +253 234 4 891628252 +486 280 2 879875249 +698 480 2 886367100 +764 356 4 876430571 +815 436 3 878695241 +840 655 5 891205245 +823 92 5 878438357 +727 510 4 883710717 +563 476 3 880507311 +611 307 4 891636125 +533 489 4 879438961 +833 1597 5 875225193 +648 23 3 882212709 +537 673 3 886031505 +605 471 3 879365748 +269 657 4 891449550 +10 709 4 877888613 +804 1056 4 879442762 +776 192 5 891628836 +774 205 4 888556434 +907 685 5 880158960 +627 2 3 879531352 +312 222 3 891698764 +660 722 1 891265453 +823 216 5 878438584 +617 635 4 883789716 +707 449 2 886288688 +804 948 1 879447476 +537 1006 2 886032245 +429 514 3 882385243 +790 436 4 885156686 +464 322 3 878354680 +864 356 4 888889268 +882 294 4 879860936 +591 285 5 891039565 +892 177 4 886608507 +825 307 4 880755305 +452 526 4 875562645 +569 273 3 879793810 +416 238 4 876699179 +897 928 5 879993621 +435 291 4 884133446 +806 475 4 882385083 +636 275 3 891448229 +830 435 5 891561737 +429 665 2 882387474 +747 30 5 888638913 +222 117 5 877563227 +868 209 4 877103195 +796 181 5 892660177 +318 216 4 884495868 +834 151 4 890862974 +899 231 1 884122844 +342 11 5 874984315 +919 1101 5 875373470 +637 596 2 882903582 +606 187 4 880926861 +535 47 5 879618160 +845 1394 4 885409719 +886 161 5 876033478 +840 297 5 891203334 +846 675 2 883949379 +456 616 3 881373655 +457 469 4 882397208 +416 1221 5 893213103 +622 511 4 882592103 +411 485 4 892845986 +690 1028 4 881177836 +733 619 3 879536488 +919 787 3 875921283 +921 24 3 879380097 +916 366 3 880845658 +738 81 4 875351092 +392 347 4 891037600 +782 1605 2 891500194 +600 771 3 888452564 +453 717 2 888206467 +524 1050 2 884637501 +543 692 4 877547580 +586 550 4 884061459 +397 313 4 889760640 +70 596 3 884148728 +861 275 5 881274612 +846 289 4 883946548 +693 492 3 875484539 +769 284 3 885423927 +884 166 3 876859207 +755 264 2 882570077 +910 182 4 880821696 +447 290 4 878854838 +864 132 5 888887128 +503 736 4 880383174 +6 340 2 883268278 +896 672 2 887161218 +532 1189 5 892521554 +383 496 5 891192888 +886 318 5 876031308 +532 1168 4 888630436 +433 269 5 880585068 +606 294 2 880923349 +200 720 4 884130114 +847 474 4 878941562 +883 752 4 892872163 +908 173 3 879722901 +551 460 3 892784320 +596 895 3 883539049 +326 175 1 879874933 +532 272 5 884594422 +271 188 2 885849087 +758 676 2 881977428 +786 724 4 882844295 +339 121 3 891035454 +903 409 4 891031794 +716 50 5 879793192 +399 769 3 882350813 +197 326 3 891409199 +766 136 3 891310009 +891 280 3 883489646 +76 156 3 882606108 +896 526 4 887159211 +665 411 4 884291242 +567 481 5 882426899 +606 238 4 880927179 +639 923 4 891239702 +337 392 5 875236512 +846 269 5 883946315 +840 170 4 891204713 +296 11 5 884197131 +711 288 1 879991364 +773 547 4 888538643 +853 887 2 879365169 +860 1061 3 879169685 +305 176 4 886323839 +664 715 3 876525718 +913 99 4 881366878 +773 1097 4 888538590 +561 171 5 885807261 +910 1012 4 884229250 +899 154 5 884122420 +500 1166 4 883874139 +670 606 4 877975391 +826 229 4 885690713 +807 404 3 892528427 +72 493 5 880037768 +823 197 5 878437623 +889 498 4 880178748 +749 157 3 878847364 +854 127 4 882813933 +113 874 5 875935338 +734 132 3 891022212 +892 649 5 886608135 +896 356 3 887160427 +840 180 5 891205143 +527 180 5 879456334 +519 1612 5 883250148 +717 125 4 884642339 +749 448 2 878847645 +726 1028 2 889832592 +846 378 4 883948989 +850 663 2 883194768 +846 480 5 883947861 +605 949 5 879427164 +916 1046 2 880845722 +758 1022 5 885698979 +707 303 3 879438988 +542 180 3 886532602 +716 88 4 879796596 +545 627 3 879901504 +655 250 3 887425625 +696 347 1 886403578 +536 489 4 882360451 +603 747 3 891956897 +751 270 4 887134730 +751 89 3 889132966 +832 876 3 888259480 +798 463 3 876175467 +838 187 3 887067019 +6 9 4 883599205 +582 269 4 882960418 +56 161 4 892910890 +514 95 4 875309350 +603 751 4 891956242 +662 1381 5 880571005 +862 24 4 879302990 +634 118 4 875729106 +834 347 4 890860007 +378 458 4 880044697 +194 177 3 879523104 +871 50 5 888193275 +660 430 4 891199747 +106 162 5 881450758 +653 518 2 878866755 +882 476 3 879863735 +790 1446 4 885157230 +195 431 3 877835063 +788 258 4 880867855 +815 969 5 878694306 +90 223 4 891383912 +735 7 3 876698683 +882 692 4 879867631 +554 273 3 876231839 +650 472 3 891381784 +338 180 4 879438505 +332 682 4 889069561 +293 193 3 888905990 +454 202 3 881960201 +903 746 2 891033302 +870 381 3 889409590 +91 69 5 891439057 +875 173 5 876465111 +886 697 1 876033368 +809 286 4 891036809 +712 140 4 874957140 +839 866 2 875752687 +901 78 4 877131738 +817 328 4 874815679 +575 111 1 878148329 +916 470 3 880845476 +871 690 3 888192315 +881 434 2 876538889 +467 1011 2 879532630 +800 597 4 887646555 +562 458 2 879195982 +426 646 3 879444787 +790 559 3 885156773 +512 183 5 888579474 +18 216 4 880129527 +450 727 4 882812635 +705 685 5 883427190 +537 274 2 886030235 +805 25 4 881704193 +587 268 4 892871068 +426 1020 4 879442702 +648 204 5 884368002 +805 396 4 881695396 +692 300 4 876953340 +854 220 4 882813248 +551 159 4 892784743 +883 256 5 891692713 +642 386 5 885605932 +325 737 4 891479846 +766 526 2 891309558 +158 56 5 880134296 +868 167 1 877110191 +767 28 4 891462759 +782 344 3 891497854 +262 66 3 879794338 +787 350 1 888979721 +54 245 4 880929738 +299 384 3 889503774 +682 156 5 888519207 +450 926 4 882470125 +311 76 4 884365140 +16 199 5 877719645 +435 649 3 884133330 +709 217 5 879848168 +846 31 4 883948571 +896 768 2 887160653 +916 160 3 880844511 +553 132 4 879948610 +907 340 2 880158425 +694 660 3 875729270 +537 511 5 886030652 +506 742 5 878044851 +758 496 3 881976031 +782 535 3 891499469 +187 435 4 879465242 +890 153 3 882403345 +901 22 5 877131045 +11 176 3 891905783 +634 9 5 877018125 +299 603 3 877880474 +664 627 1 878090125 +463 304 3 877384881 +560 284 3 879976525 +897 151 5 879993519 +577 237 4 880470323 +854 191 4 882813825 +653 1444 3 880153077 +438 1 4 879868096 +454 222 3 888266785 +532 420 4 888636374 +677 980 2 889399470 +645 212 4 892054857 +655 781 1 887428384 +382 1017 4 875946830 +561 483 4 885807612 +293 161 2 888907081 +627 33 1 879531397 +848 428 5 887047809 +222 99 3 878182059 +764 174 5 876245475 +758 1046 4 881978767 +362 300 5 885019304 +831 749 2 891354225 +907 591 5 880158913 +887 1035 5 881381740 +479 300 2 879459641 +545 328 4 879898301 +201 656 4 884111775 +305 33 3 886325627 +688 304 5 884153606 +798 821 5 875916505 +541 403 3 883865110 +896 123 3 887159748 +916 451 3 880845227 +600 4 4 888451908 +280 380 2 891700226 +94 177 5 885870284 +804 4 4 879442192 +823 186 4 878438672 +826 231 3 885690713 +429 1020 4 882387757 +751 742 3 889132347 +796 809 4 893048471 +857 19 4 883432633 +445 1014 1 891200506 +314 1253 4 877892017 +694 161 4 875727018 +843 142 2 879448604 +747 949 5 888733182 +216 276 4 880232830 +183 144 3 891479783 +699 273 3 878882563 +738 662 4 875350418 +828 190 3 891036826 +834 117 4 890862386 +422 117 2 875129975 +250 151 4 878089677 +749 686 4 878850429 +709 363 3 879848695 +535 507 5 879617856 +618 925 2 891308854 +222 1439 3 878183951 +744 276 4 881171907 +847 202 4 878940255 +739 187 4 886959115 +787 331 3 888979235 +683 311 3 893283049 +807 62 3 892979256 +705 684 3 883428084 +293 217 3 888907955 +561 3 3 885810390 +537 750 3 886028498 +897 419 4 879990430 +823 68 3 878438930 +864 64 5 888887830 +607 275 4 883879756 +426 205 4 879444893 +64 326 3 879365313 +603 180 4 891956946 +616 313 5 891224590 +379 47 5 880740461 +244 845 3 880606634 +763 173 4 878914968 +717 237 5 884642400 +843 252 3 879445114 +854 270 4 882811810 +315 301 2 879799327 +378 118 4 880044879 +299 4 3 889503074 +532 7 5 893119415 +887 768 4 881381471 +766 179 4 891309484 +897 473 3 879993644 +790 496 3 885155172 +910 100 4 880821098 +805 117 3 881694798 +594 242 4 875997093 +417 156 3 879647380 +666 494 4 880314310 +711 16 5 886031006 +860 301 2 880829226 +455 193 4 879111586 +687 895 4 884652331 +919 257 4 875288848 +529 880 4 882535304 +730 276 3 880310390 +627 849 4 879531504 +650 272 4 891381546 +870 181 4 875680119 +756 226 3 874830103 +178 331 4 882823301 +880 237 4 880166798 +912 204 2 875966202 +74 268 3 888333195 +908 55 3 879722334 +629 294 3 880115922 +859 1095 2 885775513 +450 1284 3 887139594 +830 241 4 891464148 +493 338 4 884130032 +825 1028 3 889021037 +854 619 2 882812376 +683 344 3 893284138 +243 10 4 879987526 +314 846 3 877886971 +883 1121 3 891693702 +506 482 5 878044852 +889 273 4 880177016 +880 728 4 880243410 +916 252 2 880843864 +201 182 4 884111485 +542 763 4 886533253 +915 304 3 891030032 +222 258 5 877562748 +330 405 5 876544872 +783 271 5 884326506 +653 973 2 880150348 +816 259 2 891711423 +770 742 4 875972927 +845 1022 2 885409493 +184 317 3 889909426 +889 129 5 880177266 +671 222 1 883546333 +633 498 2 875324922 +758 542 2 881978495 +561 173 4 885807393 +207 763 3 877743609 +407 796 2 876338663 +747 672 4 888734152 +881 77 2 876538627 +637 151 5 882904064 +826 768 3 885690442 +126 990 4 887855231 +804 1041 3 879446037 +908 288 4 879722097 +642 102 5 885603849 +286 734 2 877534618 +590 6 5 879439145 +412 969 3 879716961 +751 2 4 889298116 +502 271 5 883702088 +398 484 4 875659319 +514 144 3 875462520 +908 694 4 879722603 +606 333 5 887059213 +450 749 4 892141807 +524 70 4 884636519 +887 633 5 881380584 +922 161 3 891450401 +890 516 2 882916537 +848 588 3 887043514 +312 178 5 891698553 +796 185 4 893194548 +676 270 4 892685489 +450 284 4 887139517 +864 422 3 888892968 +843 432 2 879447326 +894 244 4 879896985 +497 553 2 879310379 +886 1073 4 876031805 +638 229 1 876695108 +454 402 3 888267419 +773 260 2 888538348 +712 655 5 874730467 +749 404 5 878847673 +877 732 4 882677898 +894 281 3 880416102 +823 282 3 878439364 +905 245 3 884983273 +331 634 3 877196308 +648 926 3 882212400 +435 496 4 884131243 +854 7 4 882812352 +199 813 3 883782807 +258 294 4 885700898 +354 1466 5 891217547 +790 215 2 885157797 +606 108 1 880923349 +892 54 3 886609828 +882 473 3 879862936 +663 508 4 889492503 +342 169 5 875318907 +556 318 5 882136252 +901 8 3 877131307 +918 131 3 891987824 +870 470 3 879901727 +504 307 4 887831273 +201 506 4 884114471 +506 44 4 874874850 +923 410 3 880387908 +354 433 3 891217221 +503 293 4 879438411 +798 1034 2 875638547 +123 185 4 879873120 +653 403 2 880151461 +886 483 4 876031656 +745 151 2 880122948 +31 519 4 881548053 +896 191 4 887158604 +65 111 4 879217375 +724 349 2 883757537 +808 262 5 883949986 +453 226 3 877561214 +537 478 4 886030938 +620 859 4 889987657 +311 380 4 884366067 +405 942 1 885546336 +805 172 4 881694713 +543 2 3 877546306 +914 88 2 887124121 +665 186 4 884293569 +500 831 3 883866004 +427 289 5 879701326 +276 71 4 874792870 +911 435 5 892839993 +44 50 5 878341246 +7 71 5 891352692 +403 257 2 879786112 +378 160 2 880332998 +407 504 3 875043948 +828 958 5 891038262 +174 988 1 886515335 +829 275 4 892312770 +862 978 3 879303591 +425 265 3 878738643 +870 131 4 875050865 +790 1048 4 884462692 +705 94 4 883427857 +727 1034 2 883713692 +498 185 4 881955960 +758 76 3 881977265 +234 749 3 891033772 +407 930 2 876348901 +276 1145 2 874977115 +803 988 1 880055454 +840 8 5 891208958 +95 715 1 880572060 +810 321 5 879895290 +474 616 4 887924028 +246 133 3 884921705 +13 862 3 882399074 +643 1065 4 891448756 +313 481 4 891014000 +798 158 2 875914604 +378 543 4 880055840 +806 12 5 882388204 +901 988 4 877125716 +890 1065 3 882402949 +398 447 2 875658967 +712 585 4 874730234 +592 443 5 882956158 +577 172 4 880472124 +766 177 3 891309844 +315 303 4 879799302 +256 986 5 882164059 +913 58 5 880759221 +216 508 4 881432564 +94 172 4 885870175 +534 1054 5 877807973 +868 423 2 877107373 +861 736 4 881274672 +790 977 1 885158208 +880 363 4 880167200 +902 295 2 879465128 +751 490 4 889133429 +883 1 3 891914583 +727 157 3 883711965 +250 91 5 878091965 +833 384 3 875134724 +380 151 4 885478759 +198 230 3 884209073 +831 298 5 891355004 +881 385 4 876538666 +805 385 1 881694693 +922 143 4 891449021 +733 985 3 879535909 +263 662 4 891299324 +889 7 3 880177219 +18 48 4 880130515 +485 311 3 891040423 +928 8 5 880936905 +650 566 3 891369890 +840 405 4 891203585 +902 327 3 879463373 +682 22 5 888519725 +537 305 4 886028498 +326 521 2 879875399 +757 343 3 888443555 +624 300 4 879792132 +798 1539 2 876177839 +823 172 5 878437589 +333 520 4 891045117 +894 740 4 880416253 +653 28 4 878866814 +567 271 4 882426327 +892 230 4 886609793 +778 11 5 890725951 +374 203 3 880937735 +703 118 5 875242852 +864 511 4 888886846 +593 25 3 875659826 +764 274 3 876243410 +624 763 3 879792671 +620 164 5 889987586 +747 1098 4 888640437 +405 571 5 885547605 +450 318 5 882373531 +912 172 3 875966027 +187 300 4 879464783 +343 203 5 876406764 +450 968 4 882395537 +697 323 4 882621621 +851 974 2 875730979 +817 840 2 874816007 +782 1191 3 891498558 +308 410 4 887741329 +748 186 5 879454498 +861 1148 3 881274913 +857 475 5 883432663 +521 324 2 886059923 +557 292 4 880485019 +654 114 5 887864532 +746 127 2 885075243 +914 197 4 887122028 +291 96 4 874835062 +627 197 5 879529730 +311 417 3 884366035 +870 499 4 879713935 +447 294 4 878855082 +682 433 3 888521540 +749 211 5 878847887 +373 856 3 877105809 +913 357 5 880824372 +682 685 3 888522541 +620 63 5 889988232 +894 285 4 880416136 +465 281 2 883532120 +615 357 5 879448399 +839 286 4 875751411 +705 222 5 883427318 +892 89 5 886608714 +887 84 4 881381114 +313 222 3 891017708 +875 651 5 876466687 +795 826 3 880560736 +746 685 3 885075304 +883 1019 5 891695570 +863 305 4 889289122 +303 679 2 879484534 +886 98 4 876032352 +456 697 4 881374390 +650 578 3 891381661 +775 327 5 891032956 +787 938 3 888979605 +301 402 2 882076915 +592 60 4 882955460 +880 546 3 880167410 +840 474 5 891204089 +705 95 4 883427640 +864 1210 2 888892667 +903 203 4 891032911 +458 460 4 886394916 +272 133 1 879455143 +393 1039 3 887745973 +757 939 4 888467498 +805 45 4 881697128 +727 570 2 883713194 +456 395 2 881375542 +467 258 2 879532164 +125 243 2 892836123 +7 602 3 891352594 +775 312 3 891032866 +188 684 3 875073477 +519 903 5 883248595 +927 222 5 879177177 +561 455 3 885808766 +197 311 4 891409070 +280 142 4 891701747 +318 121 1 884495052 +671 234 4 883546890 +864 483 5 888886913 +189 498 5 893265773 +752 346 4 891207983 +922 210 3 891450368 +682 55 4 888520705 +303 1337 1 879485770 +343 215 5 876405943 +715 24 3 875962374 +659 175 5 891386829 +916 229 3 880845328 +437 425 4 880141374 +381 159 3 892696674 +778 268 2 890803859 +896 597 4 887159854 +859 1061 4 885776056 +449 14 3 879958603 +751 417 2 889297615 +394 405 3 880889010 +921 1060 2 879379942 +790 552 2 885157984 +867 68 4 880079020 +721 1039 5 877140780 +545 80 3 879900654 +561 268 3 885806710 +176 293 5 886048040 +487 392 4 883529363 +892 63 4 886610480 +882 526 4 879864642 +788 318 5 880868355 +889 462 5 880180707 +831 50 5 891354900 +843 429 4 879446503 +847 645 3 878940132 +514 1039 5 875318163 +334 29 2 891549751 +395 1028 2 886481149 +832 294 4 888259121 +655 193 3 887427307 +417 90 3 879649107 +782 1417 2 891500193 +790 188 4 885157399 +748 451 1 879455186 +844 258 4 877381147 +416 15 4 876697017 +843 800 4 879443482 +591 13 4 891039637 +568 135 4 877907782 +922 371 3 891448348 +867 650 5 880078818 +488 234 4 891293911 +733 127 3 879535265 +630 193 3 885667939 +285 258 2 890595408 +321 491 3 879440746 +167 554 1 892738237 +554 770 1 876369382 +620 760 3 889987073 +833 730 4 875038888 +653 117 4 878854810 +927 138 4 879198655 +450 501 4 882371416 +267 1028 3 878971143 +831 300 3 891354191 +805 412 3 881705592 +838 275 5 887064193 +454 48 4 881960114 +846 451 4 883949379 +881 38 3 876538763 +694 187 4 875727582 +537 789 2 886030805 +568 661 4 877907126 +311 699 4 884365075 +90 505 5 891383687 +693 313 5 885703726 +92 228 4 875653867 +757 751 3 888443398 +857 348 1 883432170 +210 222 4 887737603 +708 9 1 877325135 +487 156 4 883446027 +682 657 4 888520638 +724 301 4 883757670 +179 682 5 892151459 +450 307 5 882216475 +804 226 4 879445372 +686 317 5 879546553 +727 526 4 883711113 +712 173 5 874729901 +924 96 4 886760020 +875 4 3 876466687 +851 682 1 890804746 +588 570 4 890032281 +552 873 3 879220688 +3 347 5 889237455 +625 212 3 891968320 +699 322 3 879382698 +923 333 5 880386897 +655 766 3 891585450 +385 182 5 880870205 +796 826 2 893049362 +130 347 4 884623800 +279 1030 4 875659761 +249 603 5 879640935 +464 307 5 878354859 +265 676 2 875320487 +682 231 1 888522612 +699 116 4 887503290 +878 416 5 880870854 +593 744 3 886193049 +886 636 3 876032473 +721 306 3 877137285 +761 864 4 876190336 +855 1021 3 879825578 +705 143 3 883427663 +889 782 2 880182784 +892 173 5 886607778 +360 520 4 880355448 +806 95 5 882388658 +905 328 3 884983034 +721 260 3 877137109 +504 633 3 887912542 +866 300 1 891220881 +423 293 4 891395547 +537 647 4 886030891 +899 751 4 884120724 +655 1193 3 887477360 +655 28 3 887427210 +929 89 5 879640126 +896 546 2 887160938 +445 1051 1 891200390 +650 185 3 891369836 +805 55 5 881694693 +886 129 5 876033015 +823 95 4 878439257 +788 409 3 880871057 +747 56 5 888639526 +109 25 4 880571741 +846 135 4 883947694 +807 451 5 892530112 +924 117 2 887421305 +456 824 3 881372256 +6 261 3 883268522 +847 144 4 878940189 +508 179 4 883767465 +923 827 3 880387997 +919 243 3 875288418 +842 270 5 891218251 +896 562 2 887161448 +92 702 3 875656054 +497 629 2 878759862 +880 233 4 880167918 +848 490 5 887043514 +847 485 3 878941539 +537 277 2 886029973 +885 239 3 885713609 +900 589 5 877833631 +642 651 4 885602571 +205 748 4 888284710 +758 603 5 881976262 +828 340 5 891033756 +838 206 4 887067020 +442 222 3 883391221 +897 202 2 879990683 +409 1392 1 881105367 +676 193 5 892686606 +640 189 5 874778181 +860 153 4 885990965 +852 7 3 891036485 +796 1285 4 893188622 +790 776 3 885155119 +913 301 1 880753802 +521 226 4 884478721 +698 486 4 886366815 +928 98 5 880936884 +919 690 3 885059658 +91 418 2 891439503 +844 326 3 877381268 +246 616 5 884922475 +602 237 4 888638547 +169 538 4 891268653 +540 9 5 882156965 +922 215 3 891453653 +405 381 1 885547222 +743 292 3 881277267 +870 520 5 875050559 +731 434 1 886186811 +854 200 5 882814121 +862 603 5 879304445 +553 45 4 879948732 +658 100 4 875145493 +429 99 3 882386601 +575 963 1 878148199 +374 684 5 880937692 +534 1052 4 877808300 +896 685 3 887160465 +854 125 3 882813099 +885 65 2 885714336 +177 307 4 882141842 +798 1425 4 875915317 +804 200 3 879445493 +748 200 3 879454522 +286 1079 3 876522240 +833 504 4 875038671 +896 452 3 887161564 +712 560 3 874730261 +931 50 3 891036715 +916 781 3 880845451 +881 478 4 876537612 +823 153 4 878438856 +875 96 4 876465144 +391 50 4 877399588 +817 363 3 874816007 +751 1446 2 889298694 +886 62 3 876033265 +355 1175 5 879486421 +7 463 4 891353192 +867 228 5 880078958 +642 2 4 885606787 +822 408 5 891037291 +738 697 2 875353869 +839 696 2 875752479 +924 174 5 885458009 +864 276 5 878179411 +701 303 4 891446618 +874 340 3 888632194 +786 204 4 882843925 +488 751 3 891292771 +312 97 5 891698391 +292 169 5 881105625 +572 9 5 879449610 +507 538 4 889964239 +707 953 4 886288015 +642 801 3 885605794 +650 483 5 891372315 +903 708 4 891033808 +428 303 3 892572308 +887 692 5 881380654 +758 234 4 881974823 +846 528 5 883948417 +189 486 5 893266105 +758 533 4 882055948 +130 471 2 874953928 +803 338 2 880055454 +655 642 3 887430714 +682 153 3 888521465 +151 277 4 879524642 +840 165 5 891204239 +397 665 3 885349348 +543 700 2 874865923 +872 111 4 888479151 +330 318 5 876546377 +904 694 3 879735551 +87 49 5 879876564 +889 1419 2 880182924 +887 99 5 881380539 +99 310 3 885678348 +759 117 5 881476781 +98 211 4 880498797 +790 66 3 885156560 +645 243 1 892052232 +561 4 3 885809044 +746 684 4 885075337 +887 826 1 881379239 +618 699 3 891309410 +826 391 4 885690854 +861 547 4 881274857 +781 258 2 879633862 +883 64 4 891717988 +913 92 4 881725846 +917 25 4 882911390 +119 924 4 874775535 +927 501 4 879190422 +886 238 3 876031459 +190 328 3 891033305 +25 408 5 885852920 +924 1400 4 886327641 +790 96 3 885155648 +174 648 5 886513648 +22 250 5 878888251 +801 294 5 890332748 +826 343 5 885690046 +751 300 2 887134622 +621 501 3 874965299 +524 1074 2 884637128 +595 14 5 886921223 +733 546 1 879544466 +711 213 5 879994390 +711 69 3 879993194 +864 623 3 888889035 +858 289 3 879459337 +453 453 2 888206768 +870 554 2 879714800 +655 214 3 887650851 +374 288 4 885107876 +402 748 3 876266860 +854 537 3 882813797 +12 328 4 879958742 +747 651 5 888640862 +619 827 3 885953878 +497 4 3 879310825 +660 472 2 891198421 +244 1028 3 880604830 +899 660 4 884122564 +574 344 5 891278962 +727 88 5 883711394 +892 191 5 886607879 +889 302 4 880176518 +346 233 4 874948889 +295 52 5 879966498 +455 449 4 879112582 +267 293 4 878970785 +894 847 4 879897122 +790 781 4 885157107 +843 959 2 879447523 +838 271 4 887060972 +738 176 5 892844079 +844 778 4 877387195 +122 239 4 879270741 +882 237 5 879862327 +896 141 3 887159012 +864 56 5 888887097 +885 95 4 885714933 +285 300 4 890595584 +660 90 2 891201346 +707 174 2 886286133 +94 627 3 891722678 +916 1335 4 880843798 +679 28 5 884486732 +675 900 4 889488624 +637 7 1 882903044 +862 201 3 879304326 +893 117 4 874828772 +846 50 5 883948003 +25 419 4 885852218 +463 25 3 877385664 +655 939 3 887473905 +354 610 4 891217429 +582 597 3 882962267 +927 294 5 879199250 +845 900 3 885409719 +711 135 4 879992445 +900 280 2 877833364 +481 252 4 885828016 +711 1163 4 879991347 +721 107 4 877140780 +850 174 5 883195419 +782 1256 2 891500230 +657 9 4 884239123 +776 675 3 892920321 +650 215 2 891371152 +455 269 4 878585250 +701 690 4 891446520 +535 963 5 879617977 +556 172 5 882136441 +862 919 4 879303409 +840 56 5 891204239 +896 227 4 887161728 +903 204 3 891033335 +647 1047 4 876534275 +391 125 3 877399894 +417 1057 2 880949763 +679 154 4 884486658 +822 1240 3 891036703 +694 1028 3 875728581 +595 258 4 886920602 +889 186 5 880181563 +707 660 5 886287107 +637 25 4 882904537 +504 418 3 887832391 +820 343 4 887955241 +545 77 3 884134704 +230 117 5 880484320 +57 845 4 883697253 +486 741 3 879875221 +715 470 4 875963538 +293 1135 3 888907575 +618 54 3 891309319 +711 169 5 879992929 +915 288 2 891031450 +750 245 3 879446215 +694 648 5 875728639 +916 244 4 880843401 +683 906 4 893286261 +342 293 4 874984619 +648 14 2 882211223 +896 200 4 887158768 +818 887 4 891870590 +889 386 3 880182207 +652 294 2 882566890 +524 466 4 884636583 +919 259 4 875288362 +673 258 2 888786969 +891 934 3 883489806 +932 135 5 891249538 +738 455 4 875350551 +820 316 3 887955204 +437 721 2 880141335 +128 496 5 879967225 +425 546 3 878738548 +635 117 2 878879284 +23 56 4 874785233 +711 313 4 889910848 +651 294 1 879348880 +116 343 2 881246552 +639 792 2 891240752 +880 692 3 880174652 +47 307 4 879439112 +932 7 4 891250109 +751 737 4 889298945 +909 286 4 891919160 +932 435 4 891249821 +908 98 5 879722300 +493 1016 4 884130550 +796 211 3 893048115 +776 816 2 892920423 +694 498 5 875726618 +172 642 4 875538028 +800 125 3 887646608 +416 447 4 876699027 +843 96 3 879444711 +883 715 5 891694311 +807 657 4 892529573 +889 175 4 880180101 +805 546 2 881703473 +358 45 3 891269464 +932 285 4 891250392 +771 294 4 886640547 +886 172 5 876031527 +682 762 3 888521637 +836 419 2 885753979 +499 257 5 885598342 +889 678 3 880177352 +562 153 4 879195954 +608 70 4 880406552 +921 8 3 884673699 +610 8 4 888702902 +321 19 4 879438825 +682 5 3 888520799 +279 1494 1 889232401 +896 1672 2 887159554 +752 351 3 891207898 +759 742 5 875227798 +527 185 5 879455680 +862 737 4 879305386 +102 229 3 888801623 +620 1036 4 889988258 +709 203 4 879849372 +416 151 3 876697105 +880 1000 3 880175128 +659 167 3 891385438 +877 300 3 882676366 +774 405 1 888558539 +346 68 3 874951062 +592 467 5 882955582 +764 70 4 876244559 +566 386 1 881651375 +826 435 4 885690677 +786 708 4 882844171 +326 550 5 879876505 +660 134 4 891199153 +551 69 4 892776982 +630 325 3 885666301 +703 993 4 875242787 +913 260 1 881037229 +922 1035 3 891449552 +223 71 5 891550649 +916 523 3 880844511 +921 1 3 879379601 +506 95 5 874873198 +823 188 5 878438672 +709 173 4 879846169 +112 313 5 884992444 +896 367 4 887160227 +790 181 4 884461283 +896 549 2 887160209 +450 713 3 882395778 +455 121 4 878585685 +291 742 3 874805927 +435 265 3 884131996 +887 1278 2 881378087 +880 65 4 880241977 +629 23 5 880117001 +932 105 2 891252338 +922 89 5 891450368 +198 181 4 884205050 +527 492 3 879456405 +846 1148 3 883950220 +417 322 3 886186468 +541 405 3 883871695 +773 382 3 888538829 +916 170 4 880844612 +497 90 4 879310445 +835 1673 3 891034023 +393 785 3 889729749 +601 141 4 876350443 +846 507 3 883947861 +848 530 5 887043040 +629 174 5 880116847 +870 209 4 875680546 +679 153 2 884486904 +880 69 4 880175646 +868 121 2 877111542 +206 1175 1 888180049 +932 1204 5 891249821 +790 762 5 884462105 +487 783 4 884045361 +757 746 3 888468435 +64 79 4 889737943 +811 892 4 886377530 +643 219 5 891449614 +833 636 3 879818659 +338 497 3 879438165 +762 173 5 878719533 +29 1019 4 882821989 +566 443 4 881649505 +626 272 5 887772871 +442 859 3 883390169 +868 188 3 877103320 +806 28 3 882388286 +632 132 5 879459738 +116 249 2 876452705 +716 387 4 879797391 +587 918 3 892871113 +110 238 3 886989340 +13 38 3 882397974 +854 604 4 882813601 +833 72 2 875134724 +218 603 4 881288234 +421 197 3 892241491 +463 1284 4 877385381 +889 520 4 880179756 +316 275 5 880853810 +671 802 3 884036411 +795 1555 3 883249643 +311 231 4 884365746 +922 72 4 891452470 +661 1035 3 876017717 +802 657 4 875985239 +445 433 2 890987617 +757 809 4 888466758 +783 258 4 884326348 +201 441 1 884112537 +399 468 3 882344134 +508 232 3 883777109 +846 486 5 883948948 +610 9 3 888702961 +666 647 5 880139439 +595 3 4 886922069 +13 211 4 882140002 +788 614 4 880868803 +774 53 4 888557383 +716 180 3 879794815 +864 794 3 888889268 +256 409 4 882163654 +871 751 4 888192744 +43 208 5 883955547 +707 297 3 880060261 +804 981 3 879444077 +661 140 3 876013552 +128 702 3 879967879 +755 271 1 882570023 +380 272 4 885477742 +232 508 1 880062447 +913 1112 1 882044453 +868 96 2 877107056 +606 684 3 880925579 +445 1047 1 891200656 +522 521 5 876961190 +397 186 5 885349955 +833 1154 4 875039101 +804 984 4 879440727 +796 112 4 893219477 +881 196 3 876538185 +682 258 3 888516814 +747 887 5 888638335 +880 1276 3 880167384 +712 196 4 874730396 +863 349 1 889289457 +772 310 4 889028363 +589 879 4 883352654 +790 41 3 885158235 +774 684 1 888557329 +908 701 4 879722780 +752 345 1 891207898 +862 820 4 879303774 +795 576 2 883254780 +522 48 4 876961020 +301 409 4 882075242 +66 284 3 883601812 +846 1473 5 883949335 +782 900 3 891497963 +833 144 4 887158945 +648 637 2 884883424 +623 186 3 891034814 +896 76 3 887158359 +847 732 4 878940510 +846 71 4 883948141 +663 748 2 889492019 +719 240 1 879372631 +795 204 3 880570209 +455 213 4 879111453 +780 79 4 891363860 +416 232 5 893213549 +846 393 3 883949547 +144 223 4 888105197 +472 660 5 875982096 +887 710 5 881380709 +766 396 2 891310934 +664 159 3 876526739 +262 92 3 879794205 +894 332 3 879896233 +758 462 4 881975687 +653 1135 2 880152759 +158 518 4 880134398 +305 474 5 886322838 +870 781 3 881001249 +896 414 3 887159145 +881 103 1 876536745 +711 542 1 879995754 +918 1065 4 891988002 +881 127 4 876536079 +807 415 3 893082702 +703 1197 3 875242762 +903 254 2 891032101 +757 11 4 888466583 +916 1135 3 880845556 +321 493 4 879441110 +806 155 3 882390164 +880 1030 2 880243147 +397 652 3 885350326 +705 210 5 883427988 +444 306 5 890246907 +178 511 5 882827532 +846 552 4 883950634 +328 1401 2 885046537 +256 841 2 882163857 +468 50 5 875280352 +622 280 3 882590534 +234 629 4 892335042 +868 225 1 877111453 +642 783 4 885606024 +306 258 2 876503793 +870 591 2 879270212 +145 590 1 882182802 +725 181 4 876106206 +843 99 2 879448751 +496 961 2 876070655 +807 739 4 892684321 +886 813 4 876032029 +181 508 3 878962623 +216 1 4 880232615 +466 17 5 890284766 +643 481 4 891447127 +919 19 4 875288681 +749 185 4 878847740 +749 89 4 878848098 +839 326 4 875751519 +406 491 4 884631010 +782 335 2 891498918 +463 237 4 877385237 +707 220 2 880060549 +554 4 2 876369560 +554 531 4 876549731 +796 321 2 892611871 +521 87 3 884478314 +450 188 3 882395778 +932 504 4 891250236 +552 1278 3 879222452 +864 476 2 888892917 +497 62 4 879310913 +846 719 2 883949643 +328 159 3 885047194 +872 237 4 888479275 +761 426 1 876190510 +707 1174 5 880059749 +774 519 5 888556434 +201 366 2 884141015 +763 61 5 878915628 +889 515 5 880176807 +624 455 3 879793358 +226 286 4 883888600 +887 235 3 881378537 +733 405 2 879536659 +553 181 4 879948695 +551 636 5 892784130 +756 123 2 874830344 +616 289 4 891224840 +833 933 4 875035914 +144 126 4 888104150 +716 614 4 879795159 +881 943 4 876537404 +704 611 3 891397764 +919 253 3 875288748 +853 271 3 879364668 +896 423 3 887159172 +853 328 3 879364744 +474 188 5 887926437 +82 50 5 876311146 +786 66 4 882843607 +506 517 2 874874585 +846 72 4 883950129 +1 55 5 875072688 +716 792 4 879796010 +416 353 2 886314834 +928 187 5 880936884 +913 8 2 880825916 +345 628 3 884991105 +541 66 4 883865929 +145 310 4 883840666 +804 240 4 879443958 +605 269 4 879365101 +514 511 3 886189990 +828 895 2 891035437 +575 79 5 878148199 +71 286 4 877319080 +272 194 5 879455043 +908 204 4 879722427 +915 310 3 891029965 +746 172 5 885075165 +897 194 5 879991403 +877 402 3 882677997 +897 568 5 879992216 +491 127 3 891185129 +535 517 4 879617977 +896 436 3 887159692 +878 82 3 880870609 +537 129 3 886029889 +894 582 4 882404485 +328 69 4 885045844 +790 940 3 885157928 +916 866 3 880843798 +567 89 5 882425820 +749 628 4 878846903 +716 493 5 879795949 +837 276 1 875721843 +864 140 3 888892016 +724 876 1 883757784 +886 67 4 876033228 +745 205 2 880123205 +758 1016 4 880672855 +868 427 4 877103679 +625 408 4 891997054 +804 929 3 879444092 +181 1187 1 878962816 +834 150 5 890862564 +247 121 4 893081396 +693 1248 3 875483597 +924 6 4 886759441 +682 268 5 888518279 +708 926 3 877325523 +119 299 4 890626446 +11 121 3 891902745 +630 550 3 885667968 +505 313 5 889332743 +886 824 4 876033413 +798 722 3 875914534 +868 501 3 877103449 +361 28 3 879441417 +287 168 5 875335190 +667 86 5 891034894 +587 334 3 892871171 +716 622 3 879797152 +262 132 3 879792604 +447 13 5 878854630 +887 206 5 881381471 +739 301 5 886825529 +59 525 3 888204758 +655 9 3 891585450 +594 15 4 874783052 +896 132 3 887158579 +881 739 4 876539091 +334 307 3 891544135 +889 1079 2 880177647 +934 50 5 891189363 +756 473 3 874829296 +892 500 5 886609622 +881 401 1 876539260 +592 747 4 882956102 +870 462 4 875679860 +843 679 4 879444851 +899 230 4 884122472 +138 1 4 879023031 +934 423 3 891191660 +863 332 4 889288943 +228 286 5 889387172 +178 684 5 882827019 +649 254 4 891440695 +848 154 5 887038634 +846 746 3 883949254 +782 1382 3 891500109 +815 127 3 878691739 +889 399 3 880182359 +565 971 5 891037862 +10 482 4 877889262 +61 751 3 891206274 +792 13 4 877910822 +698 1021 1 886367615 +871 335 3 888192475 +655 204 3 887477192 +674 742 5 887762714 +68 276 5 876973884 +721 65 1 877140221 +788 227 3 880867890 +606 585 4 880927358 +806 1074 3 882390515 +334 129 4 891544735 +828 270 5 891034148 +864 216 4 888886882 +462 261 2 886365773 +933 1017 3 874854953 +880 579 3 880243882 +704 661 4 891397667 +913 12 4 881366897 +911 185 5 892841255 +918 1200 4 891988276 +655 1479 2 887475032 +889 771 2 880182961 +312 223 5 891698485 +788 85 1 880869984 +457 1029 3 882551135 +694 663 4 875727926 +804 212 3 879445933 +807 21 4 892823188 +830 230 3 891561806 +360 69 3 880355994 +919 322 3 875288253 +868 210 5 877103248 +886 27 2 876031829 +154 200 5 879138832 +825 413 3 889020940 +536 568 4 882360209 +854 3 1 882813047 +519 1295 5 883248595 +653 168 3 890181186 +707 1101 4 880061652 +72 188 4 880037203 +886 182 4 876031932 +458 499 4 886397450 +327 537 4 887744023 +458 1226 2 886396910 +759 257 4 881476824 +525 269 5 881087067 +587 264 4 892871400 +665 660 4 884294935 +903 181 4 891031309 +59 182 5 888204877 +663 192 4 889493628 +62 1028 1 879373215 +380 845 4 885479706 +7 586 3 891354639 +807 820 3 892532068 +892 102 3 886610078 +796 402 5 893047320 +796 132 4 892662222 +911 174 4 892838577 +437 221 5 880140154 +935 476 4 884472465 +602 538 4 888638048 +813 901 1 883752708 +643 673 4 891448095 +7 96 5 891351383 +363 549 4 891496225 +370 302 5 879434182 +664 215 4 876525293 +537 837 3 886031211 +854 176 3 882813877 +798 560 3 875638972 +693 855 2 883975636 +889 1072 3 880182444 +38 294 5 892428584 +194 518 4 879524291 +655 1514 2 887472879 +896 215 5 887158959 +711 318 5 879992968 +690 1041 3 881177804 +194 1107 3 879525624 +893 294 3 874827789 +130 257 4 874953665 +44 520 5 878347874 +416 1011 4 885114897 +539 132 5 879788284 +819 248 5 880382511 +830 432 3 891561474 +754 276 5 879451841 +59 1112 3 888206161 +727 845 3 883709325 +843 21 2 879448392 +584 230 4 885774171 +707 949 3 886287191 +666 169 4 880567883 +739 172 4 886958938 +709 728 4 879849185 +758 238 5 881975538 +889 747 4 880181515 +622 1203 3 882669645 +450 662 4 882395914 +843 176 4 879447837 +105 343 2 889214524 +130 355 4 888211731 +819 268 4 884012614 +730 258 5 880309940 +891 281 5 891639920 +643 153 4 891447196 +900 493 2 877833603 +682 1079 3 888523657 +497 237 3 879310314 +747 392 3 888734178 +585 919 2 891283681 +705 403 4 883428154 +478 12 5 889388862 +324 690 4 880574901 +897 1254 2 880253037 +885 418 4 885714933 +854 488 4 882813761 +842 886 4 891218459 +932 1065 5 891251538 +533 216 4 879191864 +460 298 2 882912440 +663 89 4 889493818 +889 183 3 880178019 +733 1115 3 879535338 +887 82 4 881381028 +846 102 2 883950286 +847 567 3 878940783 +938 864 4 891356827 +933 317 4 874853779 +899 2 3 884122563 +862 657 5 879304369 +291 184 4 874835198 +604 441 2 883668261 +896 462 3 887159069 +922 756 2 891455185 +343 403 4 876406878 +442 153 3 883388237 +812 261 1 877625461 +772 300 4 877533731 +602 358 4 888637965 +774 448 2 888557715 +774 1218 3 888556169 +900 474 4 877833781 +659 431 4 891385627 +843 447 2 879443297 +94 67 3 891723296 +455 144 3 879110436 +753 435 4 891401712 +903 276 5 891380461 +35 300 5 875458970 +821 427 5 874793649 +575 182 3 878148295 +868 524 3 877107730 +523 1047 5 883702800 +707 1068 4 880061405 +805 501 5 881695560 +589 322 3 883352631 +878 137 3 880865562 +895 284 3 879438062 +738 206 3 875350223 +328 235 3 885048464 +815 193 4 878696054 +374 294 2 880392193 +924 523 5 885458121 +887 423 2 881379954 +420 173 3 891356864 +435 58 3 884131328 +746 8 4 885075539 +222 150 3 878181869 +459 259 4 879561630 +833 670 1 875124428 +707 811 4 886287531 +721 873 3 877137447 +655 1529 2 887489792 +897 204 4 879990396 +919 358 3 875288304 +909 582 5 891920125 +399 302 4 882340101 +62 190 5 879374686 +935 284 4 884472673 +406 660 3 882461650 +476 66 3 883364433 +892 97 5 886608802 +339 343 3 891031800 +21 986 1 874951482 +909 292 4 891919160 +650 393 3 891386778 +160 213 4 876859778 +761 455 2 876190439 +846 780 4 883949380 +874 748 3 888633197 +500 183 4 883873461 +913 527 5 881036957 +435 144 4 884131085 +256 228 3 882164559 +724 1062 1 883758208 +660 227 2 891201172 +504 1147 4 887832741 +387 1011 3 886481033 +518 628 5 876823804 +792 591 2 877909865 +271 654 5 885848475 +919 887 3 885059452 +833 320 4 875124647 +727 398 2 883713714 +878 181 3 880865770 +716 172 4 879795542 +774 23 3 888556634 +868 273 3 877107284 +846 679 3 883948989 +442 447 3 883390048 +747 290 3 888733144 +295 1 4 879517580 +825 12 5 881101782 +501 597 3 883348260 +461 258 4 885355735 +385 1449 4 881047049 +891 471 5 891639941 +79 222 4 891271957 +497 210 4 878759777 +339 200 5 891033118 +234 989 2 891033966 +853 258 3 879364883 +899 218 4 884122155 +630 932 2 885667108 +846 1248 4 883949254 +664 285 5 876524053 +889 173 5 880178019 +815 200 5 878693871 +854 285 4 882812165 +870 396 3 875680668 +445 289 1 891199510 +458 735 2 886397679 +682 299 4 888518363 +474 469 4 887925916 +693 174 4 875483881 +775 329 3 891033071 +758 705 5 881976203 +862 183 5 879304834 +107 325 3 891264659 +929 209 3 880817752 +747 1225 3 888733314 +394 89 5 880889349 +815 50 5 878691739 +532 136 5 892865321 +484 2 4 891195391 +874 289 4 888633197 +885 91 3 885714820 +796 191 4 892690382 +343 198 4 876406006 +817 324 2 874815789 +352 431 2 884289728 +749 620 4 882804506 +788 211 4 880868401 +711 425 4 879993728 +863 898 1 889288973 +327 246 4 887744384 +634 272 5 889464384 +486 21 3 879875371 +878 15 4 880872273 +251 125 4 886272346 +709 11 5 879847945 +506 202 5 874873374 +285 270 4 890595456 +276 1213 1 874791407 +771 79 1 880659729 +707 1642 5 886286491 +496 842 2 876068249 +707 93 5 880059995 +927 24 3 879181042 +303 1039 5 879466457 +901 623 4 877131793 +745 427 4 880123361 +940 193 3 885921893 +642 237 5 885603870 +404 750 3 883790750 +387 563 2 886481851 +773 258 5 888538143 +655 1633 3 889331315 +883 28 3 891717908 +119 204 4 886177659 +897 143 5 879991069 +864 382 3 888887437 +882 222 5 879861562 +916 214 3 880844958 +474 200 3 887925497 +804 183 4 879445904 +916 175 4 880845011 +497 725 3 879363253 +87 476 2 879877241 +372 292 5 876869183 +790 1091 1 885157728 +747 313 5 888638265 +804 756 3 879443976 +628 1025 5 880777095 +632 143 5 879459053 +739 197 1 886958860 +378 949 3 880056318 +846 1118 5 883948495 +551 84 1 892785020 +919 347 3 885059569 +888 869 4 879365086 +900 183 3 877833781 +905 282 3 884983889 +524 570 4 884637128 +524 523 4 884634615 +642 571 3 885606113 +868 417 1 877108087 +788 661 5 880868473 +616 343 4 891224864 +497 49 3 879310474 +880 402 3 880242115 +223 313 5 891548750 +397 298 4 885349348 +474 1011 4 887916203 +932 176 5 891250449 +393 449 2 889731088 +313 15 2 891016962 +882 988 5 879861385 +782 898 3 891498720 +7 577 2 892133310 +881 1540 1 876539091 +894 83 4 882404250 +749 526 5 878847804 +833 396 3 875134063 +269 735 2 891448120 +593 233 2 875671549 +889 461 3 880181159 +819 1160 4 880382533 +707 1211 4 886287268 +886 171 4 876032072 +59 603 5 888204309 +454 480 4 881959652 +551 451 1 892784976 +608 1221 2 880406800 +940 568 3 885921870 +592 482 4 882955582 +897 56 2 879991037 +831 31 4 891354612 +222 770 3 878181592 +624 122 3 879793436 +870 68 3 879714087 +641 209 4 879370365 +621 88 2 874962772 +935 100 3 884472110 +715 274 3 875963899 +693 281 3 875483597 +872 748 3 888478942 +696 427 5 886404542 +892 144 5 886609179 +116 292 4 876453847 +940 14 3 885921710 +860 305 4 878567538 +771 69 5 880659606 +922 382 4 891451373 +863 1022 2 889289569 +331 22 4 877196235 +802 234 5 875985601 +899 172 4 884121089 +625 235 3 891631761 +925 5 4 884718156 +488 136 4 891294158 +771 144 1 880659507 +934 573 2 891197530 +710 174 4 882064283 +568 56 4 877907720 +595 275 4 886921166 +313 141 4 891030189 +942 117 4 891282816 +863 873 2 889289491 +889 155 3 880182582 +286 330 5 884069544 +771 408 5 880659302 +774 241 4 888557237 +466 895 3 890283056 +697 118 3 882622044 +123 14 5 879872540 +894 863 5 881105162 +664 408 5 878094973 +721 172 5 877138884 +880 864 3 880167200 +940 205 3 885921243 +548 181 4 891043008 +587 358 3 892871284 +444 328 5 890247082 +933 28 4 874853977 +84 318 5 883453617 +234 1075 3 892335797 +897 497 3 879990430 +256 50 4 882164443 +399 222 3 882344434 +846 967 3 883950791 +865 676 2 880144153 +940 272 4 884801316 +194 679 2 879523104 +640 461 4 874777833 +712 388 3 874957053 +846 727 4 883948873 +406 180 5 879445599 +911 496 3 892838954 +868 919 4 877103757 +817 546 4 874815947 +830 480 5 891462594 +766 393 3 891310372 +622 162 3 882670389 +847 404 3 878940732 +279 32 3 875298696 +608 22 4 880405395 +864 1228 3 888892375 +912 132 5 875965981 +610 127 5 888702902 +886 789 3 876031656 +937 275 4 876769323 +152 88 5 884035964 +868 117 2 877110332 +557 682 2 881179213 +1 42 5 876892425 +610 185 5 888703191 +882 33 2 879868197 +833 92 2 875135363 +706 181 4 880997105 +889 24 4 880177266 +835 313 5 891032224 +405 44 1 885548670 +748 326 3 879454171 +346 177 4 874948476 +825 117 5 889021393 +781 215 3 879634124 +860 300 4 874967063 +830 2 3 891561806 +394 252 3 881130112 +828 509 2 891036630 +253 490 5 891628374 +716 225 3 879794482 +606 111 4 878146986 +1 139 3 878543216 +790 25 2 884461925 +487 802 4 884051006 +479 509 4 879461756 +301 122 2 882074818 +846 469 2 883949290 +942 200 4 891282840 +798 97 1 875638474 +371 31 5 880435576 +846 190 5 883947694 +940 655 4 885921775 +529 343 3 882535180 +173 326 5 877556988 +806 216 4 882388128 +601 864 1 876347320 +443 260 1 883504818 +840 197 5 891204509 +305 275 2 886323153 +825 1244 5 881185672 +789 1 3 880332089 +592 472 1 882608795 +767 483 5 891462870 +913 1240 2 881037004 +896 25 3 887159261 +321 127 3 879438651 +831 316 3 891354338 +722 476 4 891281635 +890 625 3 882575104 +682 660 2 888517870 +730 327 2 880309964 +933 187 4 874854294 +258 877 3 885701044 +271 470 3 885848707 +429 65 3 882386216 +215 159 3 891436707 +766 386 3 891310620 +758 526 4 882052744 +593 288 4 877728878 +892 118 4 886610649 +805 655 3 881698175 +859 294 3 885775218 +710 299 3 882063612 +345 1007 5 884994119 +433 286 5 880585068 +831 7 5 891354947 +125 1204 3 879454419 +835 527 4 891033048 +537 1166 2 886031886 +932 55 3 891249994 +864 99 3 888890730 +938 122 1 891357190 +393 729 4 887746431 +911 381 5 892839846 +792 147 4 877910822 +903 288 4 891031105 +650 419 4 891370971 +774 201 2 888556090 +178 628 4 882824027 +843 191 3 879446755 +848 89 5 887040097 +896 481 4 887158683 +73 894 1 888625592 +880 40 2 880174904 +867 98 5 880078937 +830 612 4 891898061 +770 303 4 875971568 +437 101 3 880143355 +444 307 3 891979402 +161 929 1 891172377 +235 429 4 889655662 +469 161 3 879523802 +833 943 4 875124382 +671 56 1 883546120 +897 477 3 879993315 +17 628 1 885272724 +556 340 5 882135646 +865 268 4 880142652 +747 111 4 888733480 +883 212 5 891695570 +766 89 4 891309090 +843 675 5 879443174 +865 91 3 880235059 +753 294 5 891399737 +559 520 5 891033911 +194 79 3 879521088 +527 427 4 879455740 +903 191 5 891032872 +745 125 5 880123069 +389 302 5 879915633 +773 179 5 888538810 +655 5 2 887523641 +653 526 3 880151752 +551 294 4 892775824 +747 133 5 888732695 +688 359 5 884153606 +305 318 3 886322560 +450 96 4 887834823 +567 498 4 882425966 +435 44 2 884132619 +455 147 4 879109764 +92 385 4 875653665 +899 640 1 884122228 +893 148 3 874829287 +653 225 1 886052230 +864 87 5 888887403 +937 9 5 876769373 +542 627 3 886533604 +662 1652 3 880570909 +846 1311 2 883950712 +924 127 3 884371438 +805 631 5 881698243 +584 249 4 885774551 +905 300 4 884983556 +913 481 3 880758579 +379 1113 4 892879325 +659 568 4 891384850 +486 304 3 879874186 +128 258 2 879966299 +846 219 4 883948607 +779 109 3 875501782 +497 450 2 879362202 +825 293 3 880931805 +626 266 1 878771476 +637 301 1 882899527 +942 604 4 891283139 +452 663 2 885817516 +185 178 4 883524364 +881 117 5 876535796 +566 181 2 881649985 +826 510 4 885690677 +940 315 4 884801125 +642 742 5 885602839 +125 205 5 879454345 +911 98 2 892839015 +801 288 5 890332820 +141 1282 3 884585320 +681 1176 4 885409515 +587 689 1 892871438 +74 508 4 888333542 +144 56 4 888105387 +321 116 3 879439595 +902 50 5 879464726 +880 367 4 880174730 +885 195 4 885715827 +851 343 2 883148773 +301 205 4 882076046 +650 80 2 891389216 +795 42 3 881252510 +617 567 2 883789747 +701 328 4 891446707 +698 96 4 886366515 +645 186 4 892053340 +735 283 2 876698796 +854 1677 3 882814368 +291 98 5 874834701 +869 240 4 884491734 +642 780 5 885606270 +183 121 3 891463809 +544 288 2 884795135 +709 859 3 879848318 +885 56 3 885714641 +807 210 4 892528646 +442 433 4 883388283 +919 321 2 875288164 +826 678 4 885689942 +379 286 4 880524329 +654 153 4 887864414 +707 294 2 879438988 +828 1056 1 891036630 +588 1219 2 890028385 +435 687 2 884130834 +782 1380 2 891500150 +844 7 3 877381784 +378 98 5 880045760 +758 505 5 881979012 +826 570 4 885690790 +654 151 4 887863471 +474 467 4 887928498 +933 64 5 874853605 +401 286 2 891031464 +407 204 3 875116964 +325 383 1 891480034 +896 1018 3 887160116 +864 234 4 888887658 +910 845 4 880821405 +890 449 1 882915661 +886 218 3 876031829 +871 547 3 888193136 +733 117 2 879535779 +409 61 4 881109420 +881 94 2 876539020 +843 581 3 879443951 +643 169 4 891447222 +880 1053 3 880242660 +892 95 4 886608770 +710 510 4 882064283 +877 79 4 882678387 +537 714 3 886031886 +551 363 4 892784710 +942 423 5 891283095 +886 76 4 876033897 +41 96 4 890687019 +877 748 4 882676423 +933 447 2 874854678 +863 1679 3 889289491 +739 176 1 886958938 +887 91 5 881380884 +496 495 3 876066300 +671 779 3 884036683 +655 1473 3 888474872 +459 696 4 879563736 +474 174 5 887925750 +499 527 5 885599307 +915 300 3 891031477 +536 720 4 882361207 +870 395 3 879901999 +222 91 2 878183777 +850 121 5 883195055 +889 187 4 880177857 +622 210 3 882669784 +339 1258 3 891034717 +95 398 1 888956804 +503 130 5 879438837 +804 139 3 879444943 +472 432 5 875979964 +655 1129 3 891585242 +773 231 2 888540186 +896 20 1 887235027 +846 2 5 883948949 +621 432 4 874965093 +587 680 1 892871503 +452 842 2 875265368 +184 313 4 889906905 +892 596 3 886608136 +553 497 4 879948460 +846 588 4 883949380 +818 751 5 891870473 +583 708 5 879384338 +428 315 5 885943980 +734 193 4 891025340 +908 657 4 879722822 +846 654 5 883948089 +795 214 4 881265372 +910 237 4 880822060 +397 65 2 875063876 +181 596 4 878962866 +399 379 3 882512003 +521 751 3 884475485 +503 463 1 880383126 +802 53 4 875985840 +798 623 3 876175980 +894 1131 4 879897198 +894 511 4 879897198 +877 566 4 882678547 +916 81 5 880844527 +798 740 2 875296148 +620 313 5 889986477 +49 465 3 888067798 +703 508 3 875243028 +805 143 3 881705765 +871 22 5 888193177 +315 164 4 879821349 +760 739 4 875668888 +790 228 3 885156647 +940 66 4 885922016 +454 283 3 888267590 +868 81 4 877107373 +109 572 3 880583308 +933 156 4 874854135 +862 203 4 879305312 +892 110 3 886610523 +747 615 5 888640348 +561 542 1 885810858 +417 1230 2 880953088 +416 1119 5 893214225 +890 258 3 882404055 +885 173 4 885713357 +678 275 2 879544450 +648 161 3 884882802 +815 584 3 878696355 +568 234 3 877907092 +385 1456 4 879447205 +894 1560 4 882404641 +605 70 3 879424680 +474 96 4 887925497 +796 735 2 893188514 +894 257 3 880416315 +616 288 4 891224676 +798 603 3 875743267 +673 327 4 888787396 +919 596 3 885059887 +881 934 3 876537011 +917 471 4 882911099 +839 111 4 875752237 +923 237 4 880387908 +765 137 5 880346255 +815 174 4 878693424 +354 221 4 891216788 +934 1425 1 891197851 +926 286 4 888636202 +932 1266 4 891248937 +637 9 1 882902924 +181 678 2 878961369 +201 10 3 884114169 +899 282 5 884120007 +227 741 3 879035464 +778 568 3 890726190 +303 375 2 879544276 +768 310 4 883835026 +823 182 4 878438260 +690 435 5 881177616 +366 773 3 888858078 +320 185 4 884751141 +747 40 2 888733480 +222 67 4 878183616 +924 195 5 886065785 +882 660 3 879879731 +815 181 5 878691844 +943 58 4 888639118 +452 100 5 885544109 +503 694 5 880383030 +886 371 1 876033435 +884 165 3 876859070 +527 191 5 879455654 +794 269 5 891034213 +738 64 4 875351092 +825 243 4 884642187 +709 228 3 879848397 +424 286 4 880858792 +561 603 4 885807842 +478 11 4 889395638 +285 64 3 890595777 +417 231 4 879648798 +414 886 4 884999286 +686 173 5 879546847 +524 715 4 884636182 +932 679 2 891251538 +795 1199 3 880557953 +872 288 5 888478743 +924 273 3 889286721 +883 277 4 891717936 +864 161 4 888891288 +870 494 3 879865875 +745 204 3 880123335 +463 302 5 877384835 +907 317 5 880159910 +682 943 3 888520864 +782 1534 2 891500194 +751 917 2 892486699 +405 1577 1 885549506 +296 114 5 884198772 +499 588 4 885599334 +870 528 4 875050801 +541 584 3 883874646 +622 581 4 882670562 +880 722 3 880174904 +751 710 3 889298051 +480 443 4 891208746 +591 306 5 891030956 +676 295 1 892686220 +854 129 3 882812165 +776 195 3 891628836 +833 977 2 879818799 +551 1028 4 892785056 +860 347 4 886424396 +835 499 5 891033675 +846 1179 2 883949121 +693 121 2 875483564 +540 597 4 882157248 +622 484 3 882669803 +927 228 5 879184644 +655 170 3 887523224 +899 250 2 884120105 +551 226 5 892783411 +332 41 5 887938997 +693 157 4 875482779 +862 484 4 879304571 +456 952 4 881371766 +368 5 3 889783454 +655 1111 3 887473856 +561 1044 2 885810834 +116 246 5 876452405 +630 216 5 885667968 +837 275 4 875721989 +592 176 5 882956039 +882 225 5 879862865 +751 197 3 889296961 +919 462 3 875372844 +903 23 5 891033541 +840 144 3 891209104 +250 9 2 878089547 +669 151 5 892549370 +354 222 3 891216854 +896 1221 2 887159261 +650 622 3 891387468 +276 397 1 874792601 +104 246 3 888465319 +878 496 5 880867387 +921 932 3 879381128 +761 988 1 876189715 +592 224 5 882608357 +892 237 4 886608802 +867 250 4 880078091 +864 969 4 888887172 +682 683 2 888518503 +768 815 3 880135963 +31 1022 5 881547814 +744 340 3 881171820 +830 56 2 891464054 +305 326 2 886307917 +437 71 3 880141402 +901 929 4 877126902 +256 381 5 882165135 +788 621 3 880871026 +536 436 3 882359883 +846 387 3 883950634 +185 845 4 883524507 +833 511 4 875038742 +790 145 2 885158299 +59 524 3 888206689 +853 300 5 879364744 +782 873 4 891498512 +940 873 3 889480440 +370 137 4 879434707 +613 272 5 891227111 +298 50 5 884125578 +374 227 4 880937876 +383 660 4 891192748 +474 737 4 887926633 +276 385 4 874792547 +886 393 3 876033181 +27 930 2 891543222 +880 79 4 880167670 +416 550 4 886317599 +508 47 3 883777257 +634 473 2 875729558 +903 187 5 891033754 +764 121 5 876244991 +92 44 3 875906989 +627 328 4 879529486 +909 116 5 891920010 +541 659 5 883865555 +826 230 4 885690600 +627 358 3 879529556 +379 7 5 891674489 +398 231 2 875743840 +450 389 4 882396051 +868 98 4 877103371 +935 471 4 884472352 +618 52 3 891307224 +450 50 5 882371415 +327 181 4 887745537 +648 234 5 884368314 +425 12 5 878737791 +868 662 2 877103714 +825 1163 3 880756076 +840 515 5 891203280 +815 141 4 878694613 +907 620 4 880159113 +727 455 3 883709671 +933 98 5 874853734 +837 280 2 875722350 +495 1079 5 888636511 +301 233 4 882077872 +796 692 5 892761544 +561 1010 3 885809781 +773 958 4 888538908 +445 300 1 890987410 +360 223 5 880355803 +922 202 5 891448115 +664 664 4 876524474 +723 189 3 880498938 +658 42 4 875147873 +943 111 4 875502192 +889 1070 3 880178367 +716 418 4 879796620 +87 765 3 879877006 +907 274 5 880158986 +864 2 4 888889657 +708 473 1 877325656 +932 1305 2 891252260 +812 286 2 877625109 +843 582 2 879445658 +795 477 3 880558562 +889 755 3 880182017 +207 195 3 875509307 +610 172 4 888702962 +524 14 5 884322047 +939 931 2 880262196 +890 662 3 882575303 +6 531 4 883600747 +622 253 3 882591047 +344 546 3 884899837 +895 181 5 879437950 +840 257 3 891204056 +697 595 4 882622066 +823 90 4 878438552 +497 7 3 879310604 +401 428 4 891033092 +145 118 3 875270764 +751 704 2 889133429 +892 732 4 886610480 +880 44 4 880243712 +683 880 3 893283641 +181 1034 1 878962586 +684 158 3 878760372 +883 549 4 891696782 +870 179 4 875680165 +778 367 5 890802895 +747 234 5 888640099 +867 117 3 880079117 +829 222 4 882816987 +823 1267 4 878438780 +144 7 2 888104087 +741 118 1 891455855 +262 609 3 879793736 +130 326 5 874953239 +460 1067 4 882912316 +654 143 5 887864275 +406 122 3 879540405 +276 217 4 874792692 +58 137 5 884304430 +885 501 3 885714820 +731 613 2 886186568 +782 688 2 891498918 +854 4 2 882814436 +593 282 5 875659518 +788 120 2 880871520 +393 1076 3 889731109 +815 257 3 884320266 +889 223 4 880177906 +788 281 4 880871205 +462 326 4 886365297 +661 165 5 876013975 +394 358 3 880886546 +790 158 2 885157797 +548 56 5 891044356 +218 23 4 881288298 +604 7 4 883668097 +850 584 4 883195276 +886 1 4 876031433 +472 405 5 875978600 +671 265 3 884035992 +896 358 1 887235749 +586 581 2 884065745 +701 289 4 891446857 +665 202 3 884294612 +540 340 4 882156710 +286 42 4 877533698 +62 455 3 879372696 +618 218 3 891308115 +592 23 5 882955735 +222 167 3 878183588 +848 118 2 887047243 +843 551 3 879443544 +911 485 3 892839454 +864 747 3 888890380 +655 300 3 887476919 +239 531 5 889178762 +883 168 5 891694218 +303 1 5 879466966 +846 494 5 883947590 +446 245 4 879787226 +788 231 3 880871267 +608 317 5 880405527 +311 705 3 884365201 +344 431 3 884901469 +892 11 3 886608897 +573 157 4 885844161 +848 1021 5 887043777 +683 270 3 893283049 +896 175 2 887159603 +896 603 4 887158384 +833 7 3 875035953 +605 238 1 879424783 +943 11 4 888639000 +823 13 5 878438642 +872 363 4 888479582 +682 179 4 888517627 +38 637 2 892434452 +899 186 4 884121767 +916 46 4 880844480 +796 755 4 893219033 +936 1258 2 886833281 +650 478 4 891371186 +866 242 3 891221165 +882 243 4 879861325 +795 465 3 883252686 +921 313 5 884673044 +699 370 3 879148129 +458 204 4 886396390 +624 25 4 879792446 +796 1217 3 893194607 +908 133 5 879722603 +665 50 4 884290432 +577 313 4 890089462 +592 382 4 882956761 +853 259 3 879365034 +399 96 3 882342019 +846 554 4 883949728 +536 778 4 882359988 +917 50 3 882910915 +161 70 3 891171064 +715 135 2 875964203 +313 1470 1 891017319 +468 174 5 875294549 +894 713 4 880416177 +889 89 4 880177941 +680 269 4 876815942 +234 527 3 892334189 +731 136 4 886182826 +755 289 1 882569912 +690 1185 1 881177778 +665 473 4 884290882 +734 191 4 891025523 +162 179 3 877636794 +820 288 5 887954934 +886 801 3 876034205 +510 292 4 887667524 +776 564 3 892920446 +919 1136 2 875374269 +667 98 4 891035104 +806 1514 3 882385643 +928 496 5 880936863 +521 754 3 885252562 +655 458 3 887426407 +887 72 4 881381471 +741 204 4 891018266 +668 289 2 881523929 +747 606 5 888638958 +841 307 5 889067152 +727 760 1 883713388 +643 132 5 891448265 +601 436 4 876350230 +784 313 5 891386988 +773 198 4 888538950 +938 313 5 891349471 +731 521 1 886184682 +446 307 3 879786892 +339 396 4 891036316 +629 173 5 880116847 +756 274 3 874829637 +42 655 3 881107642 +275 380 3 876198328 +782 876 2 891498267 +932 614 4 891280138 +749 414 4 878848189 +413 327 3 879968933 +171 270 4 891034835 +564 1025 2 888718443 +536 79 4 882359813 +491 513 5 891189306 +357 121 5 878951576 +541 1047 2 883866173 +655 11 2 887427307 +194 204 4 879522324 +307 161 3 879205470 +901 12 5 877132065 +754 118 2 879451775 +336 1 3 877759342 +748 495 3 879454687 +795 209 5 880587862 +894 690 4 879896200 +489 885 4 891448861 +127 230 5 884364866 +445 257 2 891199945 +929 31 2 880817708 +95 8 5 879198262 +836 611 5 885754096 +505 132 5 889333598 +514 655 4 875462568 +650 218 3 891370065 +654 196 5 887864757 +802 263 1 875985032 +918 640 3 891988163 +851 301 3 890343401 +655 467 3 887523790 +541 140 5 883874682 +870 38 3 879714608 +43 257 4 875975276 +234 106 4 892336322 +763 462 5 878921529 +834 255 3 890862940 +621 7 4 880738353 +922 249 3 891455250 +474 924 4 887915600 +608 204 4 880405527 +622 588 4 882592246 +790 709 3 885156686 +504 187 3 887840559 +368 559 3 889783562 +864 780 2 888892968 +883 1591 3 891695570 +344 1048 3 884899815 +10 414 4 877891966 +880 746 4 892959246 +533 226 4 879191621 +13 903 3 890704759 +500 60 5 883874557 +518 129 5 876823804 +588 206 4 890025023 +328 903 3 893195755 +554 245 3 876231229 +759 937 4 881476756 +472 367 5 892790953 +788 223 4 880868181 +339 218 3 891034810 +643 674 3 891449901 +313 237 2 891016757 +886 388 1 876033850 +862 1117 4 879303668 +210 163 3 887730407 +577 102 4 880475043 +666 1071 3 880567771 +543 160 3 874863803 +870 1112 2 879714902 +929 517 5 879640329 +881 472 4 876537285 +715 227 3 875964272 +907 825 3 880159404 +805 106 5 881695968 +378 96 4 880055740 +910 245 2 881420474 +13 911 2 892015141 +835 543 5 891033232 +488 191 3 891293974 +868 150 5 877103834 +749 1615 4 878847076 +893 1 5 874827725 +814 665 4 885411204 +536 8 5 882359047 +244 58 3 880605438 +269 604 3 891448895 +862 117 5 879302844 +660 183 2 891199499 +77 519 5 884752874 +223 1284 1 891550295 +871 213 3 888193386 +299 515 4 877877691 +868 195 2 877104212 +630 323 4 885666237 +321 704 3 879440423 +896 515 3 887158029 +804 748 4 879440700 +845 268 3 885409374 +720 286 5 891262635 +738 203 3 892958137 +663 1017 2 889492679 +869 284 1 884491966 +727 199 4 883710288 +13 569 2 882396955 +894 344 4 887825614 +120 127 4 889489772 +868 178 5 877103714 +389 1168 3 880088717 +932 497 5 891249933 +550 1 3 883425913 +934 177 3 891192623 +792 1 4 877910822 +562 135 5 879196075 +639 213 5 891239528 +90 511 5 891384476 +464 299 4 878354791 +306 19 5 876503995 +749 223 4 881602704 +843 563 2 879443545 +846 493 5 883947590 +751 302 4 888870893 +600 232 3 888451839 +719 58 3 879360933 +867 289 5 880077950 +448 302 5 891887337 +854 55 4 882814467 +150 150 3 878746824 +923 472 4 880388547 +814 56 3 885410957 +408 327 5 889679982 +932 1184 3 891250169 +435 721 4 884132072 +451 335 4 879012721 +260 334 5 890618729 +503 503 3 880472250 +862 982 4 879303622 +897 172 4 879990466 +312 530 5 891698921 +395 286 4 883762088 +782 1302 3 891500028 +916 824 3 880843838 +894 355 3 889469028 +854 483 4 882813691 +931 237 3 891036552 +82 241 3 878769992 +893 405 5 874828864 +344 762 3 884900391 +458 519 4 886395899 +882 235 3 879863560 +738 423 4 875350223 +629 137 5 880117001 +918 428 5 891988001 +580 147 3 884125658 +655 980 2 888984354 +910 288 3 884229224 +851 291 4 875730244 +363 223 5 891495197 +790 208 3 885156014 +711 1170 3 879993842 +919 270 4 885059422 +774 118 1 888558594 +721 327 2 877136967 +862 179 5 879304410 +90 275 5 891383626 +311 96 5 884365653 +890 427 5 882405586 +533 169 4 879438543 +896 152 3 887160116 +869 50 4 884490892 +807 8 4 892528374 +97 69 5 884239616 +851 685 4 875731022 +942 261 4 891282673 +615 427 5 879448475 +694 1269 5 875726793 +826 449 4 885690819 +919 1047 3 875289697 +758 629 4 881978715 +187 707 5 879465882 +283 1009 3 879297867 +887 832 2 881379059 +618 183 4 891307494 +835 735 5 891033349 +757 222 4 888444400 +537 289 1 886029153 +709 441 4 879848239 +848 633 3 887043040 +903 1008 3 891031505 +885 233 3 885715889 +450 347 4 887047775 +13 288 1 882396790 +624 127 4 879792322 +483 283 5 878952582 +843 95 2 879446716 +907 282 4 880158939 +305 475 4 886324199 +886 71 4 876032274 +899 25 3 884120249 +897 951 3 879991186 +618 159 3 891309670 +299 480 4 878191995 +693 216 4 875484613 +667 238 3 891035140 +201 1426 2 884114015 +608 182 4 880403484 +210 655 5 887730496 +808 313 5 883949986 +409 1541 4 881107992 +825 546 5 880756603 +347 926 1 881654846 +921 282 2 879379714 +824 322 4 877021044 +938 240 2 891356847 +913 265 4 880757553 +708 150 4 892719246 +922 216 3 891448115 +930 121 4 879535392 +377 689 3 891297256 +276 586 3 874977512 +914 387 3 887124121 +881 678 2 876535695 +815 172 5 878694613 +881 178 3 876537512 +511 300 4 890004658 +921 720 4 879381128 +500 532 4 883865952 +495 511 4 888634536 +532 980 4 884594911 +918 204 1 891987317 +664 367 3 876526152 +943 570 1 888640125 +661 175 2 888299899 +790 248 4 884461888 +158 651 5 880134296 +435 527 4 884130995 +833 432 4 875132134 +465 48 3 883530313 +936 818 4 886832903 +868 419 3 877103449 +381 307 2 892697959 +347 418 4 881654134 +417 203 4 879646915 +524 521 4 884636182 +782 252 3 891499469 +758 144 4 881975267 +210 969 4 887730221 +932 967 4 891251331 +11 401 3 891905324 +716 22 5 879795159 +437 13 4 880141129 +319 358 3 889816233 +645 319 3 892051708 +915 1038 2 891030070 +940 289 3 884801144 +541 946 5 883874749 +508 710 4 883777071 +840 272 4 891202756 +760 928 1 875666242 +782 1666 2 891500194 +815 665 2 878698525 +913 237 4 881725960 +886 746 3 876032473 +788 620 3 880871088 +316 162 3 880854472 +508 524 5 883767608 +880 222 4 880166990 +406 629 3 880131977 +286 232 4 877534701 +653 307 4 889151627 +733 220 2 879544411 +896 872 3 887157322 +450 230 4 882371732 +768 471 3 880135875 +561 194 4 885807612 +457 371 4 882398275 +446 879 3 879786691 +846 230 3 883948720 +896 174 5 887161710 +846 716 3 883949508 +943 232 4 888639867 +621 1093 4 880738568 +619 181 4 885953778 +864 1217 3 888889327 +487 380 2 883531466 +505 123 3 889333894 +887 1473 1 881379522 +913 98 4 881725761 +707 1120 4 880060974 +339 639 4 891034115 +416 542 1 886317599 +754 328 3 879450984 +708 713 4 877325316 +577 568 3 880475021 +582 547 4 882961608 +788 164 3 880870115 +702 230 4 885767774 +786 423 5 882843150 +592 116 4 882608182 +700 28 3 884493712 +851 121 4 874728565 +823 1 4 878438206 +904 628 3 879735362 +665 631 2 884294459 +399 419 3 882343327 +713 344 5 888882276 +816 355 2 891711472 +922 56 1 891447628 +619 685 3 885953850 +801 300 5 890332748 +896 182 4 887157924 +804 227 4 879443136 +537 753 2 886030622 +655 1186 3 888984538 +807 684 5 892529851 +532 304 5 893118711 +901 196 4 877288864 +863 682 3 889289491 +890 135 5 882405546 +293 173 5 888905550 +672 109 4 879788774 +889 1006 4 880181563 +933 577 1 874938705 +62 466 3 879374785 +846 426 1 883949046 +788 657 4 880868277 +803 242 5 880054592 +661 181 5 876015607 +863 872 2 889289240 +709 192 4 879846705 +666 175 4 880567612 +875 71 2 876465336 +682 108 3 888521564 +899 265 4 884122087 +788 1518 3 880871394 +453 85 3 877561301 +757 271 3 888443307 +437 1063 5 880141661 +417 343 2 886186253 +896 217 2 887161198 +889 696 3 880177407 +454 632 3 881960145 +722 471 4 891281020 +901 168 4 877131342 +429 257 4 882386121 +834 288 5 890860566 +791 181 5 879448338 +311 496 5 884364593 +619 195 5 885954019 +896 880 4 887235664 +683 472 3 893286550 +798 423 3 875639864 +790 411 3 884462929 +13 158 1 882142057 +177 748 3 880130534 +7 341 3 892333206 +881 483 4 876537418 +786 125 4 882841745 +646 349 2 888529127 +880 140 4 880243001 +84 4 3 883453713 +787 1434 1 888979657 +897 177 5 879990465 +536 228 5 882359863 +942 427 5 891283017 +270 219 5 876956389 +846 415 2 883950605 +901 498 4 877131990 +60 237 4 883327442 +920 347 4 884220131 +102 947 3 888801360 +479 480 5 889125737 +870 447 4 879713953 +699 1187 4 879148051 +781 191 4 879633995 +919 298 3 875288983 +823 111 4 878438206 +334 246 4 891544952 +230 174 5 880484661 +286 41 2 877535323 +682 542 2 888523227 +392 589 4 891038946 +854 358 2 882812001 +618 420 3 891309163 +864 137 4 878179514 +758 152 5 881975853 +291 592 3 874834895 +59 219 5 888206485 +741 427 5 891018221 +567 187 5 882425673 +889 240 3 880177246 +851 1028 3 875730686 +485 301 2 891041551 +892 284 5 886610840 +764 294 3 876233213 +357 1048 2 878951217 +425 190 3 890347085 +756 53 3 874830432 +532 1428 4 874791420 +663 151 3 889492841 +487 248 1 883443504 +759 328 5 881476590 +298 121 4 884126202 +748 180 4 879454958 +850 742 5 883195214 +436 435 4 887769256 +932 229 4 891251063 +405 4 4 885547314 +593 153 5 875671107 +58 121 2 892242300 +798 486 4 875639889 +766 367 2 891309878 +47 303 4 879439112 +621 65 3 885596944 +747 483 5 888639318 +347 282 5 881652590 +805 769 2 881695999 +450 372 4 882396245 +931 678 3 891036247 +774 168 1 888555964 +922 395 4 891452879 +727 260 1 883708265 +654 381 3 887864886 +739 603 4 886959069 +930 148 1 879534886 +894 264 3 879896309 +455 568 4 879112298 +854 823 2 882813316 +409 1070 4 881107410 +897 409 4 879993553 +482 245 4 887643461 +805 225 1 881705892 +737 187 5 884315175 +620 174 5 889988121 +178 194 4 882826306 +894 1315 3 879896985 +618 1039 4 891309887 +308 479 5 887738346 +899 435 3 884122450 +623 286 2 891032107 +541 254 3 884046953 +776 438 2 892920506 +933 523 4 874853957 +935 846 4 884472999 +833 405 3 875038395 +654 1165 1 887864146 +913 234 4 880825443 +647 15 4 876532975 +942 487 4 891282985 +896 97 4 887158265 +416 846 3 878878779 +851 892 2 886534635 +836 134 3 885754096 +840 143 4 891209490 +897 603 5 879991666 +747 625 3 888640648 +533 549 4 879439340 +240 242 5 885775683 +425 217 1 878738914 +312 661 5 891698726 +887 871 5 881378325 +378 183 4 880331829 +916 82 4 880845772 +877 83 3 882677085 +881 129 4 879052141 +807 173 3 892528285 +625 484 4 891262783 +368 7 4 889783365 +839 1085 5 875752877 +894 346 4 884036796 +889 952 3 880178411 +655 461 2 887427130 +863 1237 4 889289618 +886 5 3 876032929 +655 240 3 887650538 +822 272 3 891033683 +222 100 5 877563052 +694 1020 4 875728345 +718 405 5 883349384 +789 1008 4 880332365 +275 473 3 880313679 +711 272 5 884485798 +840 632 3 891204296 +26 271 3 891348070 +102 384 2 892993827 +863 690 4 889289067 +727 233 4 883713473 +145 271 4 885557660 +419 191 4 879435590 +26 291 3 891379753 +669 222 3 892549434 +889 39 2 880181191 +577 1044 4 880475504 +556 323 2 882136058 +637 244 1 882903645 +799 690 3 879253668 +733 1114 3 879535603 +537 547 1 886029771 +788 193 4 880868235 +846 721 4 883948719 +200 380 5 884129381 +174 11 5 886439516 +355 1233 4 879486421 +592 92 5 882956358 +795 568 3 883251659 +907 828 5 880159361 +852 405 3 891037262 +793 456 3 875104752 +647 1014 3 876531583 +327 324 3 887743644 +682 551 2 888522977 +859 955 5 885776352 +464 257 4 878355088 +936 285 4 886832221 +385 215 2 879442559 +897 69 5 879990396 +911 423 4 892840837 +128 633 4 879967729 +748 425 4 879454773 +236 28 4 890116539 +72 654 4 880037461 +538 137 3 877108372 +883 1041 3 891694603 +846 479 4 883947694 +474 186 4 887925977 +642 472 5 885607081 +435 179 5 884131085 +889 212 2 880181225 +647 237 3 876776320 +4 359 5 892002352 +907 125 4 880159259 +760 841 3 875666421 +627 22 5 879530205 +435 298 4 884134500 +597 326 1 875339083 +145 228 4 885557660 +870 1042 2 879902127 +868 219 2 877107817 +279 193 2 875307407 +568 79 4 877907782 +562 385 2 879196483 +864 184 4 888890775 +822 410 1 891039486 +387 29 1 886483252 +782 1016 3 891499321 +929 419 4 880817844 +764 280 4 876244181 +551 128 4 892783829 +758 955 2 881977021 +887 410 4 881378040 +693 229 2 875483435 +119 28 5 874782022 +650 152 3 891382138 +717 126 5 884642580 +887 258 1 881377893 +929 134 4 880817752 +316 462 3 880853516 +639 174 4 891240160 +79 515 5 891271792 +807 121 4 892529278 +481 198 4 885828686 +303 293 4 879544515 +630 153 3 885668277 +356 322 3 891406289 +907 472 5 880159360 +790 235 1 884462551 +889 475 4 880176896 +465 528 3 883530190 +790 417 2 885156538 +535 427 4 879618246 +492 514 3 879969415 +919 937 4 875920627 +653 229 3 880153145 +268 143 2 875310116 +932 709 4 891251395 +709 747 2 879848925 +645 173 4 892053748 +660 474 2 891200037 +661 174 5 876013447 +838 300 2 887060778 +642 427 3 886132043 +592 87 4 882956467 +618 770 2 891309756 +665 69 5 884293475 +500 121 3 883865611 +821 509 5 874793574 +621 879 4 880227012 +886 22 4 876032378 +721 174 5 877139015 +632 99 5 879458941 +222 54 4 878183111 +907 301 4 880158537 +102 447 4 888803002 +764 276 3 876752289 +595 288 3 886920602 +474 197 5 887923788 +806 82 4 882389179 +823 428 5 878438511 +669 329 1 891182771 +870 90 4 875680668 +295 144 4 879518166 +625 210 3 892054095 +909 275 5 891920166 +865 845 1 880144123 +222 188 3 878184393 +537 699 4 886031149 +574 346 4 891278962 +896 798 2 887160983 +711 121 1 876185726 +752 316 3 891208329 +588 1061 5 890024876 +733 290 4 879535752 +840 611 4 891204509 +321 511 4 879440954 +886 96 3 876031392 +488 478 3 891294530 +766 183 4 891309484 +345 385 3 884993418 +532 313 5 884594326 +85 281 3 879452971 +783 872 4 884326545 +690 585 2 881177970 +787 898 3 888979182 +94 673 3 891721615 +788 12 5 880868919 +780 497 2 891364059 +665 274 3 884290408 +568 30 4 877907877 +11 83 5 891904335 +332 1157 4 888360532 +823 217 3 878439655 +806 153 4 882388658 +354 724 2 891307114 +508 204 3 883767510 +653 508 3 886052198 +776 50 5 891628977 +862 1110 5 879305386 +374 153 5 880395487 +911 1203 4 892838357 +790 274 3 884461950 +741 265 5 891455735 +355 689 4 879485423 +99 172 5 885679952 +450 181 4 882372103 +833 302 3 884828670 +710 180 4 882063736 +741 194 4 891457242 +474 611 4 887925395 +637 1033 3 882904233 +883 172 4 891696824 +753 527 4 891401510 +913 465 2 880826366 +715 7 3 875962110 +751 578 4 889298174 +897 588 4 879990877 +938 125 3 891356742 +13 370 1 882396984 +664 655 3 876524097 +889 1170 2 880182127 +741 1152 3 891458597 +844 210 4 877386928 +303 403 5 879468274 +758 751 4 882597651 +569 257 4 879794302 +908 185 4 879722822 +593 732 3 875660850 +95 431 3 879196629 +14 195 5 890881336 +919 50 3 875288570 +751 87 5 889297927 +886 732 3 876032029 +644 330 4 889076173 +885 949 4 885714452 +726 249 1 889832422 +907 86 5 880160162 +543 61 4 875659098 +698 204 2 886366770 +823 239 4 878438959 +90 156 4 891384147 +506 216 4 874873794 +329 1011 3 891655981 +782 1138 2 891499699 +931 476 3 891036974 +560 458 3 879976731 +716 479 4 879796010 +790 122 2 884462954 +939 106 3 880262019 +372 1090 5 876869878 +399 665 3 882345408 +453 215 3 877554419 +804 411 3 879443776 +768 476 4 883834705 +792 9 3 877909631 +487 809 2 884050192 +500 117 4 883865755 +642 628 3 891317897 +854 303 3 882811810 +903 845 1 891031450 +774 411 1 888558853 +942 323 3 891282644 +727 207 5 883710889 +833 573 1 875223976 +724 879 1 883757259 +409 115 2 881108777 +699 309 3 882000505 +551 508 4 892783366 +711 959 5 879995322 +794 248 4 891036463 +781 403 4 879634340 +758 802 3 881978572 +883 9 4 891717495 +682 232 3 888519408 +793 597 3 875104565 +890 183 3 882404917 +840 566 5 891209285 +393 96 4 889555434 +166 688 3 886397855 +917 740 5 882912385 +766 602 4 891310038 +416 265 5 893213796 +548 696 4 891415912 +615 26 4 879448233 +158 978 3 880133937 +751 79 4 889132776 +643 273 3 891445287 +562 174 5 879196105 +92 732 3 875812841 +252 847 4 891456738 +641 1194 3 879370299 +880 1059 4 880166939 +731 170 5 886179040 +567 223 4 882426508 +436 423 4 887769992 +190 100 4 891033653 +721 720 5 877138395 +868 455 5 877103410 +855 531 3 879825614 +897 871 3 879993519 +804 84 3 879445933 +271 215 4 885849300 +934 25 4 891195233 +693 144 4 875483847 +493 358 4 884129979 +880 12 5 880175622 +919 202 3 875373582 +886 150 4 876031656 +735 245 3 876698022 +655 636 3 888475015 +537 175 4 886030966 +710 172 4 882064283 +19 8 5 885412723 +668 882 3 881523929 +551 34 4 892778336 +731 127 4 886179415 +45 278 3 881014550 +905 150 4 884984148 +385 198 3 881128357 +608 517 4 880403856 +806 228 4 882389230 +819 340 5 879952627 +768 248 3 883834705 +609 894 1 886895852 +664 14 4 878090764 +870 443 3 882123736 +374 79 4 880394997 +773 1 3 888539232 +643 72 4 891449301 +916 1113 4 880844897 +686 192 5 879545340 +487 689 1 883441407 +418 300 3 891282656 +472 403 5 875982200 +642 35 2 886570027 +909 531 4 891920166 +833 198 4 875123677 +295 951 5 879517893 +880 92 4 880167778 +606 281 4 880922148 +921 1047 1 879380015 +665 410 3 884291165 +805 269 5 879971251 +854 829 2 882813287 +83 248 3 883868788 +885 356 3 885714317 +49 54 2 888068265 +627 431 4 879531302 +864 238 5 888890432 +442 188 3 883390782 +367 268 4 876689364 +851 916 3 891961195 +796 187 5 892662904 +707 603 3 886286926 +796 821 4 893047126 +115 684 3 881171489 +689 50 5 876676397 +709 117 4 879846623 +847 948 1 878774764 +657 273 3 884239566 +54 634 1 892681013 +269 939 2 891448177 +363 770 4 891497174 +560 301 3 879975116 +119 194 5 874781257 +941 147 4 875049077 +921 72 4 879380806 +795 403 3 883250829 +869 1134 1 884492445 +828 1672 2 891037722 +896 228 5 887158266 +903 91 5 891033005 +653 802 2 880153040 +807 554 4 892684529 +637 181 4 882902540 +786 222 4 882842044 +627 228 4 879531301 +432 15 4 889416456 +239 483 5 889179253 +704 22 2 891397441 +159 299 3 893256013 +627 180 5 879529794 +896 765 4 887160750 +385 55 2 879441728 +938 988 3 891356282 +606 293 5 878143605 +524 559 3 884637067 +640 174 5 876067863 +889 64 5 880178313 +806 2 3 882389862 +708 685 3 877326158 +713 327 2 888882085 +271 203 4 885848448 +903 521 5 891033781 +693 96 4 875483881 +890 101 2 882915661 +695 682 1 888805952 +235 524 5 889655204 +438 284 2 879868308 +844 511 3 877387825 +654 408 5 887863381 +667 79 3 891034930 +346 79 5 874948105 +336 257 4 877759730 +610 187 4 888703213 +573 216 4 885844674 +647 203 3 876776321 +757 176 5 888445730 +713 286 3 888881939 +642 441 1 886569942 +862 105 3 879303346 +487 231 1 884050940 +932 525 5 891250418 +918 419 3 891987622 +542 202 3 886532314 +870 69 4 875050603 +499 208 4 885599718 +854 134 4 882813825 +802 567 4 875985976 +524 476 3 884628212 +14 430 5 879119692 +405 1019 1 885549465 +896 161 3 887159302 +130 1142 4 874953595 +13 310 4 881514683 +727 1437 2 883713082 +644 298 4 889077513 +857 687 1 883432470 +826 576 4 885690900 +836 657 5 885754096 +894 129 4 880416253 +95 234 2 879197886 +503 13 3 879438377 +905 7 4 884984329 +935 127 4 884472086 +790 209 1 885155540 +752 904 4 891207845 +843 28 3 879446977 +838 100 4 887063994 +530 255 4 886198864 +934 197 5 891192041 +790 186 3 885156165 +316 716 5 880853881 +850 480 5 883194810 +942 615 3 891283017 +918 923 4 891987317 +49 820 1 888067164 +805 105 2 881705238 +504 176 3 887837739 +940 96 5 885921265 +924 1036 2 886759690 +892 472 3 886610523 +773 221 2 888540448 +875 692 2 876465230 +642 217 2 886569659 +932 1397 4 891250793 +13 172 5 882140355 +523 407 4 883702800 +37 210 4 880915810 +130 373 4 878537681 +570 879 2 881262795 +774 1017 3 888558829 +856 750 5 891489250 +677 1049 3 889399139 +159 130 1 880557322 +798 289 3 875286981 +843 135 5 879449177 +11 28 5 891904241 +924 300 2 884337243 +931 1152 4 891037177 +555 318 4 879975419 +693 298 3 885703740 +756 71 3 874828391 +624 928 3 879793511 +758 748 1 880672522 +828 382 3 891037639 +863 313 5 889288910 +832 873 2 888259984 +928 333 3 880937258 +308 654 5 887736881 +850 494 3 883195168 +892 5 4 886611354 +586 569 3 884060807 +851 352 1 890343544 +923 148 4 880387474 +897 455 3 879993772 +92 111 3 875641135 +697 820 3 882622373 +839 532 3 875752560 +822 432 3 891037394 +346 164 3 874948824 +881 443 5 876539448 +639 451 4 891239529 +846 168 5 883947737 +911 238 2 892839970 +738 434 4 875351872 +889 455 4 880177647 +566 523 4 881649622 +916 53 4 880844834 +629 416 4 880117813 +929 515 5 878402162 +886 1074 2 876033645 +650 550 3 891381661 +716 1020 5 879795314 +537 1400 2 886031678 +495 225 4 888635524 +454 972 2 888267128 +823 762 4 878439557 +13 722 3 882399528 +695 895 1 888805864 +447 15 1 878854481 +579 435 5 880952038 +913 789 4 880946415 +699 1033 4 884152917 +682 2 3 888522541 +592 69 5 882956201 +856 310 3 891489217 +648 295 4 882211464 +299 481 3 877880566 +541 79 5 883871524 +804 206 3 879445440 +825 984 5 884642187 +877 538 4 882676533 +700 222 3 884493899 +655 1022 3 887424948 +606 568 4 880923988 +452 83 3 885490812 +610 750 4 888702841 +532 1312 4 888631036 +873 294 4 891392303 +821 79 5 874793517 +664 1109 4 876526555 +407 95 3 875045190 +790 931 2 884462105 +712 210 5 874730293 +894 147 3 880993709 +859 368 3 885775880 +478 202 4 889396256 +757 91 4 888467309 +500 727 2 883875041 +749 210 4 878848587 +831 270 4 891354000 +332 471 4 887938351 +864 44 4 888890144 +733 534 3 879544377 +747 418 5 888639102 +901 71 4 877131654 +678 15 3 879544449 +912 154 4 875966027 +805 742 3 881695872 +796 659 3 892662482 +276 472 3 874787109 +464 255 4 878355061 +894 326 3 879896168 +668 269 5 881523612 +940 194 5 885921953 +904 66 4 879735641 +889 403 3 880179868 +406 521 3 882480511 +908 181 3 879722754 +932 179 5 891249239 +529 327 4 882535353 +890 85 1 882917090 +370 427 5 879435146 +918 137 5 891987879 +933 470 4 874854611 +522 200 4 876961314 +697 270 5 882622481 +860 245 3 880829225 +623 525 4 891034294 +883 270 4 891691436 +320 625 4 884751439 +444 286 2 890246847 +655 459 2 891408204 +90 268 4 891382392 +897 222 4 879993042 +835 23 4 891035310 +285 319 3 890595523 +639 311 3 891238599 +504 174 4 887909455 +823 150 4 878438058 +314 787 2 877889927 +886 186 4 876033460 +703 764 2 875242885 +765 14 5 880346204 +7 365 4 891353744 +854 616 4 882813877 +846 786 4 883949771 +560 928 3 879977062 +181 1382 1 878962168 +633 921 3 875324812 +130 552 5 876252225 +621 1228 3 880740296 +843 77 2 879443975 +916 506 3 880844728 +916 1206 2 880845543 +42 969 5 881107687 +826 373 3 885690900 +690 780 4 881177910 +627 7 5 879531158 +894 283 3 880993490 +174 384 1 886515121 +638 168 4 876695714 +933 63 2 874938563 +913 179 3 881368269 +881 15 3 876536241 +49 4 2 888069512 +894 336 3 879982820 +541 378 5 883864908 +807 511 5 892705391 +392 510 4 891038979 +660 318 3 891199133 +901 228 5 877131045 +766 72 2 891310704 +429 200 3 882386333 +112 333 4 884992566 +62 511 4 879373586 +778 451 1 891234405 +741 790 3 891457456 +919 204 4 875921396 +928 1007 5 880937163 +523 874 4 883699869 +844 56 4 877386897 +927 380 5 879196283 +828 198 4 891036492 +796 155 5 893047241 +181 333 3 878961227 +796 275 4 892660211 +374 273 2 880392747 +584 227 4 885774172 +216 416 3 880245165 +702 879 1 885767604 +897 451 4 879991607 +707 1401 3 886286663 +522 135 5 876960824 +766 182 4 891309053 +116 1256 1 876453222 +422 248 3 875130100 +797 988 1 879439230 +875 1422 3 876465274 +430 121 2 877225832 +505 69 3 889333974 +571 1039 3 883354760 +937 285 4 876769436 +868 449 3 877113540 +380 498 4 885478738 +686 197 5 879545814 +491 116 5 891185209 +137 685 5 881433296 +896 431 3 887159262 +798 1023 3 875295772 +497 83 2 878759898 +644 457 4 889076502 +930 8 3 879535713 +488 418 3 891294530 +385 954 4 879446235 +896 1284 2 887160958 +495 521 5 888632219 +632 720 3 879459025 +94 94 2 891723883 +727 62 3 883712603 +87 433 3 879876702 +110 722 3 886989028 +773 655 3 888539347 +601 118 1 876347320 +38 406 2 892434251 +436 81 3 887770244 +899 496 5 884121379 +621 95 4 880739654 +574 100 5 891279712 +935 717 4 884472872 +642 931 4 885606857 +389 134 5 879991045 +385 205 2 879443253 +704 318 5 891397491 +943 1067 2 875501756 +666 118 3 880313903 +639 655 3 891239406 +498 109 3 881955189 +588 8 5 890023557 +536 10 4 882318772 +256 64 5 882164231 +875 504 5 876465275 +868 240 5 877107373 +774 449 1 888557482 +920 331 3 884220094 +690 4 3 881177459 +690 451 4 881177910 +883 147 2 891717419 +715 433 2 875963082 +867 511 5 880078371 +832 258 3 888258960 +7 179 5 891352303 +776 184 4 892920381 +711 197 4 879993110 +538 188 4 877108195 +924 526 3 886327826 +632 227 3 879459025 +934 297 5 891189969 +916 17 4 880845135 +764 1028 4 876244181 +764 220 3 876243925 +773 1018 3 888539095 +763 1065 5 878915559 +763 174 4 878919019 +790 217 4 885158459 +374 4 2 880395924 +145 1041 5 875272987 +472 366 4 892790952 +846 191 5 883948048 +286 401 1 877535446 +864 1047 3 888888680 +309 879 4 877370319 +730 7 4 880310352 +545 450 2 883115718 +860 1602 3 893009852 +125 1271 2 892839021 +724 327 4 883757670 +551 824 1 892784629 +158 302 4 880132193 +831 117 3 891354970 +734 213 5 891022684 +880 1423 3 880175577 +665 240 5 884291271 +908 322 2 879722169 +817 245 2 874815789 +567 50 1 882426246 +472 230 5 875981876 +894 479 5 879897198 +102 11 3 888801232 +908 69 3 879722513 +451 334 3 879012648 +747 98 5 888639480 +790 117 5 884461283 +329 186 3 891656268 +44 157 4 878347711 +514 208 4 875463494 +669 915 3 892549178 +878 531 2 880866564 +830 226 5 891561806 +846 609 5 883949199 +774 175 3 888555897 +823 175 4 878438457 +868 436 3 877104913 +881 477 4 876536107 +393 141 2 889729537 +804 260 2 879440787 +13 275 3 886303585 +688 349 5 884153712 +897 484 3 879991341 +854 1061 1 882813421 +456 258 4 887165802 +936 340 4 886831535 +759 275 4 875227858 +795 1101 4 881528779 +905 321 4 884983463 +942 584 4 891283239 +670 417 4 877975129 +109 63 3 880582679 +841 300 4 889066780 +230 56 3 880484416 +943 808 4 888639868 +753 242 4 891399477 +904 778 3 879735678 +857 259 4 883432397 +539 496 3 879787985 +479 193 3 879460939 +796 949 4 893047460 +867 216 3 880079043 +921 471 2 879379821 +889 94 4 880181646 +896 216 5 887159658 +796 396 2 893218621 +861 382 5 881274780 +681 328 3 885409810 +841 358 1 889067348 +758 890 3 880672552 +883 250 3 892439468 +721 243 3 877137527 +829 100 4 881086893 +665 687 2 884290143 +280 173 3 891700453 +593 1221 3 875671982 +592 1356 4 882608915 +932 570 4 891251178 +724 347 4 883757670 +832 323 3 888259984 +734 275 4 891023019 +472 1079 4 883904360 +722 508 4 891281020 +94 403 3 891723188 +819 182 4 884105025 +798 225 4 875637487 +883 589 5 891754985 +498 663 4 881956363 +495 183 5 888633277 +79 276 3 891271957 +717 831 3 884642958 +532 367 5 893119439 +774 122 1 888558924 +870 550 3 879714310 +228 812 5 889388547 +262 58 3 879792452 +790 1039 3 885155490 +838 405 4 887064589 +680 318 5 876816106 +845 1399 3 885409493 +942 347 5 891282396 +835 357 5 891033232 +671 88 4 884036846 +529 264 2 882535820 +280 673 4 891701223 +787 1024 2 888979606 +902 134 3 879465523 +865 24 4 880143612 +640 1067 4 876068799 +654 1283 1 887863779 +940 172 4 885921451 +918 289 2 891988559 +653 719 3 880153841 +561 1039 3 885807612 +835 612 4 891033927 +916 655 3 880844350 +727 70 5 883710856 +588 561 3 890027780 +790 15 5 884461413 +865 101 1 880235099 +907 147 5 885862325 +764 227 4 876246358 +882 932 4 879863969 +89 301 5 879461219 +648 291 3 882211736 +919 57 5 875373621 +409 1512 5 881106947 +538 199 5 877364067 +334 137 2 891544953 +397 182 5 885349759 +254 496 4 886471982 +699 275 3 879148201 +585 170 5 891282573 +666 46 4 880139348 +891 531 4 883430128 +356 294 1 891406076 +883 79 4 891696864 +747 179 5 888639780 +590 546 1 879439538 +804 237 4 879443709 +788 64 5 880868005 +80 79 4 887401407 +727 1222 1 883713574 +774 367 2 888556047 +782 1013 3 891499439 +298 427 5 884127369 +716 497 3 879795949 +727 1249 3 883711991 +506 525 4 874876486 +881 755 4 876538922 +707 736 4 886286311 +882 496 5 879866320 +653 1016 3 890181186 +566 69 4 881650108 +872 310 4 888478698 +512 50 5 888579997 +921 288 3 879379265 +648 758 2 884795447 +736 293 4 878709365 +864 250 3 891044057 +505 98 4 889333792 +922 227 4 891447777 +561 772 4 885808715 +450 627 3 882396489 +859 928 3 885775473 +733 107 4 879536001 +738 1047 3 875351872 +588 385 3 890023557 +435 91 4 884131597 +434 974 5 886724940 +406 433 3 880131791 +5 239 4 875636655 +758 184 5 881974823 +872 118 4 888479560 +796 1407 3 893049362 +595 826 1 886921819 +841 271 4 889067216 +754 117 4 879451626 +308 1140 4 887740933 +627 550 1 879531352 +875 181 4 876465335 +727 358 2 883708462 +727 567 2 883713388 +592 55 4 882956067 +922 588 4 891448580 +487 399 5 884046800 +805 1017 3 881704337 +892 12 5 886608022 +880 346 5 892958128 +102 234 3 888802940 +869 756 1 884492780 +897 195 5 879991137 +752 539 4 891208357 +851 331 3 877830970 +830 627 3 891561541 +896 1 4 887158579 +896 479 3 887158713 +910 293 4 880822060 +823 419 4 878438780 +606 249 3 880922503 +828 1622 1 891038060 +800 276 3 887646245 +648 1030 2 884882552 +903 317 4 891033808 +298 546 3 884184098 +851 1277 2 875730418 +862 141 4 879305237 +860 716 2 887754411 +834 127 5 890862412 +566 121 3 881650755 +428 894 4 885943955 +625 216 4 891262899 +794 150 4 891034956 +861 83 5 881274672 +522 530 4 876961314 +647 357 5 876534131 +405 205 3 885546025 +846 499 4 883948840 +514 1074 4 876067623 +116 300 3 876452094 +894 558 5 882404250 +815 433 3 878695199 +734 742 4 891025958 +694 526 5 875729431 +422 185 4 879744015 +898 300 2 888294375 +526 294 3 885681982 +488 15 4 891294568 +927 15 5 879177509 +488 197 2 891294473 +751 1140 2 889299503 +133 306 4 890588612 +910 23 4 881421332 +409 1020 5 881107410 +817 24 4 874815947 +864 1 5 877214125 +64 480 3 879365619 +889 153 5 880181317 +621 625 4 874965299 +10 518 4 877886722 +711 134 5 876278804 +694 582 4 875728801 +896 134 5 887159109 +119 298 4 874775038 +505 227 2 889334334 +76 1154 5 878100710 +878 8 3 880866288 +888 269 5 879364981 +790 742 4 884461541 +763 518 4 878919180 +293 11 3 888905898 +641 338 3 879369958 +318 531 4 884495921 +918 211 2 891987752 +112 328 4 884992566 +339 506 4 891033766 +686 435 5 879545758 +660 568 3 891199182 +109 1245 2 880571872 +934 151 3 891189401 +669 355 2 891182792 +727 80 4 883713454 +627 195 4 879531301 +456 382 1 881374710 +934 202 5 891193132 +846 530 5 883948606 +790 65 4 885155846 +881 449 3 876539549 +854 135 4 882813933 +389 67 2 880614340 +324 285 4 880575412 +690 1090 3 881180138 +521 568 3 884478101 +117 132 4 881012110 +184 1121 4 889910545 +749 80 1 878850533 +85 270 3 890255063 +639 519 4 891239380 +635 879 3 878878866 +453 99 3 888205588 +649 24 4 891440460 +854 244 3 882812826 +756 181 4 874831383 +919 1315 2 875289611 +387 516 3 886482928 +633 328 4 875324298 +870 219 2 879714351 +729 322 4 893286637 +851 1047 3 874789005 +699 523 2 878883038 +435 203 4 884131434 +378 47 4 880055984 +283 100 4 879297160 +234 694 3 892079040 +472 222 5 876882530 +893 471 4 874828897 +536 94 4 882363972 +587 888 3 892871563 +524 661 3 884637467 +541 63 3 883866049 +932 379 2 891251798 +889 70 3 880180979 +781 187 5 879633976 +868 156 3 877103834 +747 31 4 888639222 +305 86 4 886323757 +633 958 3 877210979 +638 96 4 876694917 +907 740 5 880158960 +49 62 2 888069660 +796 89 5 892662222 +64 655 4 889739243 +840 606 4 891205004 +774 228 4 888557237 +919 168 1 875373074 +918 275 4 891987176 +711 660 5 879994825 +929 188 4 880817728 +758 353 4 886743253 +745 510 3 880123720 +183 274 5 892323452 +890 271 3 882404055 +660 328 3 891197585 +38 940 1 892434742 +921 181 5 879379562 +894 319 4 879896756 +763 39 4 878918360 +898 324 4 888294621 +564 245 4 888718546 +707 88 3 886287331 +916 39 4 880845011 +474 318 5 887923708 +655 1516 3 887474630 +922 63 3 891449363 +325 469 4 891478504 +777 42 5 875980670 +535 389 4 879619177 +293 513 5 888905990 +939 258 4 880260692 +846 565 2 883950712 +579 520 4 880951708 +894 1313 3 889229605 +907 181 4 880158692 +896 504 3 887159926 +711 86 5 886030557 +878 1065 1 880871600 +907 287 4 880158913 +151 385 3 879542775 +923 456 4 880388562 +365 237 3 891304278 +472 125 5 875979041 +711 202 4 879993194 +64 258 3 879365313 +773 427 3 888540484 +655 428 3 887428157 +478 68 1 889396582 +314 808 4 877892052 +851 696 3 874728338 +64 28 4 889737851 +476 746 3 883364295 +542 420 3 886533587 +709 53 3 879848272 +82 170 4 878769703 +854 93 5 882814571 +637 847 3 882903191 +864 218 4 888890316 +804 211 4 879444805 +435 919 5 884132184 +864 47 5 888887502 +452 514 3 875261350 +804 768 3 879445493 +825 116 3 880755693 +921 87 2 884673673 +592 71 4 882956668 +921 728 3 879381299 +521 520 3 884477585 +892 481 5 886610011 +798 485 5 875639784 +682 627 4 888523171 +644 117 4 889077418 +896 708 2 887159926 +165 156 3 879525894 +890 479 5 882402238 +890 515 5 882402518 +766 705 4 891309668 +624 319 3 891961140 +831 315 3 891353915 +708 125 4 877325601 +889 1011 3 880177287 +506 945 4 874874585 +711 301 4 889910848 +655 236 3 887426407 +13 777 1 882397084 +519 333 3 883248089 +880 22 4 880167695 +829 198 4 884736647 +825 925 4 880756904 +64 718 4 889739243 +889 67 2 880182541 +716 203 4 879796311 +737 58 4 884314970 +883 707 3 891693139 +851 271 5 883148692 +877 170 5 882677012 +715 1 5 875961843 +911 383 3 892841094 +798 756 3 875296109 +514 79 4 875462520 +63 276 4 875747265 +871 197 3 888193385 +758 436 3 881978572 +796 258 4 892611840 +474 294 3 887916330 +76 955 4 882606789 +303 405 4 879483802 +904 421 5 879735772 +747 530 5 888734041 +532 277 5 893119439 +523 451 5 883702441 +535 100 5 879617531 +807 1089 4 893084724 +721 8 4 877154765 +682 163 3 888521833 +291 575 2 875086699 +498 480 5 881960523 +782 354 2 891497698 +639 48 4 891239295 +721 518 2 877140221 +493 806 3 884131143 +201 640 4 884112029 +939 1054 4 880261868 +210 79 4 887736352 +435 127 4 884131681 +658 195 3 875148059 +934 195 4 891191600 +881 228 3 876537995 +721 735 4 877141039 +421 331 2 892241236 +863 879 2 889289123 +940 181 3 885921310 +642 622 4 886568941 +489 269 3 891362740 +110 939 4 886988042 +823 125 4 878438585 +913 144 5 880946236 +724 308 1 883757170 +851 144 5 875806849 +423 620 4 891395711 +864 182 3 888886913 +804 39 2 879447475 +880 826 3 880167551 +131 287 4 883681351 +661 135 5 876013398 +622 213 5 882670009 +782 1662 4 891500110 +476 732 3 883364250 +782 1296 3 891498030 +788 7 4 880868559 +645 558 4 892053429 +918 582 4 891987723 +85 519 4 879829265 +795 710 3 881265617 +936 106 3 886833148 +7 629 3 891352526 +534 93 1 877807692 +877 269 4 882676098 +796 628 4 893194740 +406 208 2 880131582 +934 411 3 891190377 +290 181 5 880473696 +627 792 4 879530501 +796 588 5 893218728 +846 110 3 883950568 +650 118 4 891381546 +405 646 2 885546202 +861 584 5 881274815 +801 333 5 890332885 +916 65 3 880845327 +889 497 4 880179893 +624 898 1 891961380 +425 1110 1 878738486 +635 15 3 878879346 +633 98 4 875324715 +796 97 3 892690059 +684 1028 4 875810966 +109 826 3 880572064 +864 588 3 888887289 +682 475 3 888521465 +533 443 3 879191595 +454 313 5 888000454 +90 481 5 891384516 +399 39 2 882344310 +886 941 2 876032072 +856 315 5 891489250 +889 127 4 880176845 +788 282 4 880869819 +919 1137 4 875289170 +17 221 2 885272654 +659 693 4 891331417 +844 251 4 877381484 +792 1047 3 877909798 +914 371 4 887122029 +288 327 1 886373007 +916 708 4 880845673 +910 117 4 880822012 +896 187 5 887157924 +561 96 1 885809336 +48 323 3 879434181 +471 420 1 889828027 +921 692 4 884673724 +780 660 3 891363969 +870 649 4 889717102 +293 1228 1 888908041 +698 173 5 886366652 +918 645 4 891988090 +682 109 3 888521539 +308 501 4 887740099 +648 665 2 884882987 +606 209 4 880926018 +650 482 3 891385775 +878 50 4 880865562 +837 762 2 875722318 +735 242 5 876697561 +632 195 5 879459738 +476 393 4 883365135 +682 451 3 888521637 +840 443 5 891209490 +931 303 4 891035917 +295 1297 4 879519529 +817 928 3 874815835 +541 622 3 883874804 +756 860 1 874830068 +844 300 3 877381268 +883 566 3 891696999 +198 201 3 884207897 +943 356 4 888639598 +883 455 4 891916411 +796 272 4 892610692 +311 69 5 884364999 +738 429 3 875353813 +782 244 4 891499321 +885 208 3 885713406 +896 12 3 887158604 +798 98 1 875639581 +699 243 2 879147597 +593 237 4 877728878 +291 844 5 874805804 +385 874 3 879438975 +119 473 3 874775647 +417 780 4 880952880 +529 309 3 882535353 +197 568 4 891410038 +834 50 5 890862362 +749 685 4 878848137 +710 234 4 882064321 +719 69 5 879360536 +790 364 2 885158161 +559 174 4 891035111 +568 483 5 877907281 +207 211 5 878191679 +919 327 4 875288304 +848 135 4 887038022 +305 428 3 886323902 +897 66 3 879990973 +496 652 5 876065693 +15 121 3 879456168 +254 269 2 887346935 +896 1406 3 887160676 +447 737 4 878855907 +902 993 3 879465180 +796 709 3 892676155 +486 301 4 879874113 +736 993 4 878709365 +562 229 1 879195848 +366 288 4 888857598 +283 211 4 879298271 +807 29 4 892530626 +774 428 1 888556090 +896 233 2 887160631 +328 23 3 886036795 +903 977 1 891031810 +843 141 4 879447327 +918 433 2 891987082 +682 824 1 888521907 +773 567 2 888540352 +474 468 4 887926999 +498 496 3 881957905 +629 210 5 880117689 +755 872 1 882569844 +725 321 2 876103700 +271 148 3 886106165 +648 229 4 884882802 +867 50 5 880078027 +870 10 4 879376967 +886 240 3 876031720 +683 609 3 893286502 +640 827 3 886474833 +496 174 4 876066507 +299 118 2 877880111 +886 80 3 876034228 +637 245 3 882900047 +830 15 4 891561065 +848 747 5 887043777 +720 313 3 891262608 +532 588 5 893119415 +229 303 1 891632073 +886 187 4 876031309 +417 506 4 879647471 +405 436 1 885548384 +693 12 4 875482056 +864 210 4 888887469 +798 1540 4 875743576 +59 42 5 888204841 +70 655 4 884150153 +184 29 3 889910326 +586 195 4 884058956 +318 482 5 884496156 +151 686 3 879525035 +806 496 5 882387798 +804 514 4 879443032 +49 717 2 888068651 +828 955 3 891379818 +831 288 1 891354043 +394 141 3 880888815 +766 604 4 891309329 +321 173 4 879440636 +643 29 2 891449901 +787 904 3 888979182 +742 7 3 881335492 +932 177 4 891250609 +543 466 4 874864094 +747 390 4 888640862 +868 621 2 877103449 +782 1528 2 891499577 +889 820 2 880182103 +68 127 4 876973969 +782 1300 2 891499469 +842 344 1 891217835 +174 215 5 886514220 +864 710 2 888888115 +5 425 2 875637440 +562 591 4 879196176 +913 82 3 881368310 +874 276 4 888632484 +714 250 5 892777876 +708 300 4 892718939 +932 617 4 891251588 +906 696 4 879435758 +778 42 5 890670510 +798 768 4 876175980 +682 849 2 888522699 +151 805 4 879542567 +868 229 3 877111154 +823 566 4 878439605 +145 240 5 875270764 +727 148 2 883709438 +919 1152 4 875288612 +548 978 2 891416122 +268 117 4 875742613 +733 740 3 879535886 +185 47 4 883524249 +638 222 4 876694787 +712 69 3 874730085 +486 1226 4 879874902 +864 31 4 888888202 +510 299 3 887667681 +666 147 3 880313661 +916 14 5 880843378 +263 135 5 891299877 +222 588 4 881059537 +916 179 3 880844420 +806 176 5 882387798 +899 428 4 884122254 +457 121 4 882393066 +913 127 4 882044440 +846 612 5 883949421 +181 713 2 878962774 +882 427 5 879877026 +405 36 2 885546859 +391 176 3 877398856 +789 508 4 880332169 +682 186 4 888521413 +643 631 3 891447930 +312 813 5 891698516 +655 1160 3 888685850 +715 42 5 875963112 +693 234 2 875483330 +618 64 4 891306990 +889 194 5 880178248 +653 428 1 880151580 +255 328 2 883215630 +634 678 2 877017632 +271 649 3 885849510 +889 172 4 880177941 +582 405 3 882962133 +827 750 3 892157198 +414 288 5 884999066 +721 299 3 877137447 +836 170 5 885754200 +864 496 5 888887944 +786 133 5 882843353 +354 896 4 891180527 +804 23 4 879442557 +541 427 4 883864638 +243 699 4 879988397 +130 350 4 886023989 +894 1226 4 879896920 +802 330 2 875985031 +535 640 3 879618742 +686 214 5 879546651 +911 659 3 892838677 +435 210 4 884131799 +637 283 2 882903822 +891 1197 5 891638734 +709 172 5 879848397 +42 132 5 881107502 +933 231 1 874939031 +684 173 3 878761120 +864 144 5 888887830 +708 149 3 892719246 +847 444 3 878940782 +708 476 3 892719385 +259 172 4 883371882 +664 483 4 878091463 +324 763 5 880575589 +854 257 3 882812877 +911 143 5 892840889 +751 239 4 889134237 +795 118 2 883254314 +399 225 3 882345212 +823 77 4 878438958 +913 1 2 880758579 +796 50 5 892660147 +880 90 3 880174858 +897 228 4 879991607 +577 62 3 880475504 +868 470 1 877107924 +457 222 5 882392853 +548 17 3 891044596 +474 111 4 887916203 +850 181 5 883195419 +727 87 4 883710347 +865 919 5 880143713 +592 302 5 882607325 +654 8 5 887864497 +933 433 1 874854251 +807 435 3 892528690 +350 181 4 882346720 +72 642 4 880037479 +715 248 4 875962280 +837 286 4 875721473 +699 1093 3 880696051 +896 232 3 887160427 +345 470 4 884992084 +876 19 5 879428354 +244 171 5 880606385 +883 656 5 891695666 +840 88 4 891209241 +826 127 5 885690482 +569 298 3 879793784 +752 259 5 891208451 +804 566 4 879444820 +648 454 3 884368232 +179 916 5 892151064 +787 326 4 888979547 +726 248 2 889832422 +344 529 5 884814668 +222 542 2 878183837 +788 646 3 880868513 +426 663 4 879444604 +551 111 5 892783612 +898 683 3 888294775 +880 173 3 880174780 +451 326 4 879012431 +749 1028 4 878849149 +669 664 4 892550104 +608 327 2 880402450 +669 96 2 891260392 +703 181 5 875242762 +565 707 5 891037453 +804 510 5 879441346 +940 8 5 885921577 +900 429 2 877833747 +878 274 3 880869003 +567 514 5 882425701 +645 89 4 892053483 +901 546 4 877127250 +805 383 2 881706146 +847 7 3 878775647 +190 7 4 891033653 +924 283 4 884371495 +77 527 4 884752853 +868 136 5 877104414 +880 810 3 880168411 +881 11 4 876537752 +577 240 3 880470884 +881 174 5 876537718 +903 223 5 891033354 +903 56 5 891466376 +586 96 4 884059110 +506 71 5 874873068 +799 319 4 879253668 +545 266 2 879898447 +757 471 4 888444738 +30 751 3 884310551 +864 94 4 888891423 +773 145 3 888540390 +804 89 4 879441524 +846 449 3 883950950 +645 32 5 892054906 +400 748 2 885676411 +914 155 5 887124121 +184 504 4 889908630 +35 264 2 875459099 +742 475 4 881335492 +119 475 4 874775580 +901 144 5 877288015 +621 780 4 874962824 +697 591 4 882622016 +527 640 4 879456464 +566 210 4 881650030 +585 86 5 891284016 +940 153 2 885921953 +347 106 2 881652813 +655 1141 3 888474986 +881 134 5 876539260 +892 648 4 886607642 +495 432 5 888633396 +645 514 5 892053686 +455 435 4 879110544 +788 630 2 880869355 +905 717 1 884984149 +749 932 3 878850333 +621 173 4 874965407 +588 842 3 890015542 +667 23 3 891035084 +618 432 5 891308979 +871 511 2 888193177 +90 220 4 891385165 +708 347 3 892718637 +286 929 4 876522098 +587 876 2 892871536 +484 88 4 891195179 +932 652 3 891248893 +485 286 2 891040897 +655 1635 3 887432079 +681 310 3 885409572 +661 192 4 888299461 +846 1029 1 883950859 +645 469 5 892054707 +295 511 5 879516961 +907 821 5 880160008 +798 705 4 875638447 +720 898 4 891262812 +932 566 4 891251463 +115 772 4 881171273 +648 250 4 882211464 +643 659 5 891447127 +627 523 4 879529767 +910 282 3 880821319 +782 1160 2 891500150 +886 222 4 876032615 +629 223 5 880117813 +18 137 5 880132437 +716 723 4 879796072 +896 429 5 887158866 +721 199 4 877147323 +652 257 2 882567356 +628 1296 5 880777096 +933 182 4 874854853 +798 1411 1 875639656 +511 260 4 890004916 +484 231 2 891195476 +905 326 3 884983034 +934 183 2 891190903 +503 58 4 880472565 +592 325 2 882607647 +618 1225 2 891309382 +493 134 3 884132246 +655 578 2 887488694 +13 326 3 882140792 +773 13 4 888539471 +69 334 3 882125962 +774 501 1 888558019 +641 1039 4 879370337 +725 286 5 876106729 +655 178 4 887427009 +897 200 5 879991434 +934 269 2 891188367 +374 526 4 880938965 +930 651 3 879535574 +851 182 5 875731406 +741 134 5 891455381 +566 11 3 881649962 +346 182 5 874948031 +885 419 4 885716328 +385 2 3 879446786 +200 172 5 884128554 +831 687 2 891354424 +566 631 4 881650605 +354 655 3 891217575 +505 419 3 889333560 +655 1014 3 890103072 +548 55 5 891044482 +883 462 5 891693085 +864 91 5 888887172 +489 245 3 891366838 +868 412 5 877112001 +431 294 5 877844377 +268 24 2 876514002 +823 401 4 878439365 +756 258 3 874826502 +796 722 3 893047460 +643 240 5 891445823 +635 328 3 878878752 +647 173 5 876534131 +923 762 4 880387525 +391 1163 2 877399864 +933 399 3 874939157 +896 196 3 887159173 +420 1347 3 891356927 +758 301 3 880672427 +749 642 2 878848137 +645 709 3 892054570 +786 102 4 882844096 +104 340 3 888441878 +756 742 3 874830026 +505 259 3 888631208 +345 91 4 884993016 +417 4 3 879648360 +709 808 4 879848645 +942 539 3 891282673 +749 229 3 878849482 +824 289 2 877021044 +730 273 2 880310324 +804 755 3 879445305 +663 693 4 889493732 +648 726 3 884882271 +892 203 5 886609390 +766 8 5 891309329 +653 186 5 880151557 +460 100 5 882912418 +579 69 2 880951868 +882 929 1 879863176 +539 319 5 879787770 +667 269 5 891034444 +622 125 3 882590457 +9 50 5 886960055 +694 52 4 875729667 +405 65 1 885546379 +903 467 3 891033606 +610 352 1 888702795 +913 430 2 882544617 +716 659 4 879794962 +654 154 3 887864797 +631 1527 2 888465351 +931 245 4 891037024 +693 159 4 875483521 +856 749 3 891489450 +707 1163 4 880060724 +773 183 4 888539962 +787 302 3 888979123 +674 1197 3 887763386 +748 181 4 879454455 +59 30 5 888205787 +802 260 4 875984938 +667 962 2 891035164 +846 1188 2 883950524 +643 121 4 891445741 +394 651 4 880888223 +216 546 2 880233197 +913 117 1 882544673 +894 691 3 889468982 +56 167 3 892911494 +727 249 2 883708927 +918 1101 4 891987824 +294 840 3 889242516 +393 451 3 887746995 +663 124 3 889492390 +721 145 4 877139773 +788 55 4 880868876 +868 50 5 877103449 +435 1014 2 884134515 +577 470 5 880475245 +896 942 4 887160209 +670 199 4 877974549 +527 187 5 879455999 +884 736 3 876859329 +659 494 4 891383965 +655 1499 3 888685556 +899 463 4 884121342 +514 419 4 875463468 +551 386 1 892785364 +784 272 4 891387077 +890 435 5 882574437 +787 1433 3 888979181 +524 170 4 884634785 +854 293 5 882812102 +493 204 5 884130852 +394 204 5 880888223 +307 433 5 879283625 +643 385 3 891449344 +840 631 4 891205004 +11 729 4 891904637 +655 1070 4 887474050 +796 510 3 892761578 +425 898 3 890346705 +880 195 4 880167670 +456 405 1 881371942 +782 935 2 891500150 +480 50 4 891207951 +806 461 4 882388706 +392 513 5 891039049 +749 100 3 878849052 +766 22 3 891309261 +721 197 4 877140221 +314 365 3 877891465 +361 194 4 879440345 +698 423 2 886366731 +893 724 3 874830160 +916 474 4 880844175 +544 338 2 884796062 +776 656 5 891628678 +527 661 5 879456186 +796 549 3 893047208 +85 1018 4 882995668 +675 463 5 889489003 +534 148 4 877808198 +13 746 3 884538766 +942 313 3 891282396 +746 183 4 885075165 +117 184 3 881012601 +776 177 4 891628937 +682 385 3 888522456 +826 397 3 885690854 +326 611 3 879875572 +562 194 5 879196075 +588 1411 1 890032421 +712 398 4 874957179 +429 843 1 882387114 +303 401 3 879543003 +552 127 4 879221580 +843 270 4 879442947 +859 1132 3 885775513 +756 121 3 874829152 +389 485 5 879991081 +798 208 3 875639010 +314 827 4 877887292 +686 209 5 879545550 +606 148 3 878150506 +941 124 5 875048996 +804 423 3 879441371 +293 143 4 888906428 +648 412 1 884367318 +674 257 4 887762641 +347 210 4 881653973 +773 210 2 888539398 +939 689 5 880260636 +642 401 4 885606178 +724 307 3 883757468 +761 1157 5 876189775 +883 197 4 891696689 +699 283 4 879147032 +119 7 5 874775185 +405 187 5 885544739 +733 124 5 879535213 +303 123 4 879468149 +370 390 1 879434587 +514 209 3 876062951 +577 410 3 880471170 +936 281 4 886832903 +847 1086 4 878775404 +825 257 4 880931887 +92 1216 4 886442386 +450 336 3 882370464 +880 368 1 880175503 +870 218 4 889717102 +711 704 4 879993650 +833 1012 4 875036418 +561 1059 1 885808867 +128 416 3 879967367 +15 249 1 879455764 +338 143 2 879438652 +654 98 5 887864641 +896 299 1 887235709 +823 193 5 878439113 +889 1218 4 880178511 +806 122 3 882385694 +2 289 3 888979353 +710 333 3 882063367 +94 195 3 885870231 +655 1121 3 887428938 +711 995 4 879991134 +394 672 3 880888540 +897 8 3 879990744 +926 322 2 888636270 +95 215 4 879198109 +849 427 4 879695317 +479 915 4 893281238 +246 447 3 884922714 +571 45 4 883354940 +936 952 4 886832966 +884 582 5 876859351 +875 478 4 876465025 +922 229 4 891447777 +532 491 5 893119491 +91 1192 4 891439243 +788 174 2 880868316 +62 134 4 879373768 +699 762 3 878882455 +561 379 2 885810428 +338 517 5 879438505 +290 234 3 880474451 +458 762 3 886395065 +524 582 3 884635326 +530 176 3 886202320 +332 748 4 887916385 +747 989 3 888638508 +533 1048 3 889450842 +642 28 5 885603636 +883 312 3 891692044 +474 655 5 887924083 +180 53 5 877442125 +871 56 5 888193177 +344 50 5 884814401 +922 451 4 891448247 +535 950 3 879618019 +311 747 3 884364502 +650 121 3 891369836 +532 203 5 893118712 +181 743 1 878963241 +768 744 3 880136272 +896 135 3 887158926 +363 239 3 891495272 +854 922 5 882813143 +561 655 3 885807930 +886 43 2 876033134 +389 15 2 879916135 +458 484 5 886397109 +406 492 4 879445859 +537 550 2 886032246 +663 187 5 889493869 +399 545 2 882345164 +525 100 4 881086108 +913 310 3 880753802 +758 98 5 881976289 +940 56 5 885921577 +500 286 1 883864527 +911 313 2 892838135 +880 1296 3 892958128 +495 196 3 888632546 +922 191 3 891454587 +514 272 4 885180603 +758 346 2 883099368 +537 855 3 886030937 +790 472 2 884462416 +823 459 4 878438379 +28 5 3 881961600 +271 1117 3 885847763 +630 98 5 885667898 +178 161 5 882827645 +886 506 4 876032308 +641 511 5 879370337 +798 707 2 875303559 +579 7 3 880952006 +870 244 3 875051043 +844 181 5 877388183 +514 168 4 875308925 +805 28 3 881698243 +561 849 2 885810193 +793 591 4 875104752 +580 597 1 884126077 +758 171 5 881976262 +658 735 3 875148108 +900 121 2 877832803 +655 18 3 888984478 +889 729 3 880179785 +620 28 4 889988121 +762 515 5 878719186 +870 23 4 875050865 +307 472 3 877123683 +798 769 2 876249507 +919 7 3 875288848 +640 91 4 874777998 +92 729 4 875656624 +913 475 4 880757473 +922 290 4 891451277 +524 39 5 884636583 +480 527 4 891208327 +85 316 3 893110061 +741 742 4 891455766 +900 1028 2 877833393 +733 126 2 879535938 +942 269 2 891282396 +833 33 2 875134264 +780 183 2 891363860 +847 71 4 878940653 +84 282 4 883450434 +880 269 4 892958090 +724 286 1 883758268 +514 22 4 875463202 +329 50 4 891655812 +334 209 3 891545821 +551 100 4 892776486 +727 550 4 883712519 +764 282 4 876243291 +756 402 4 874831383 +721 239 4 877147007 +269 639 4 891447216 +654 638 4 887864868 +676 302 5 892685224 +795 705 4 883250829 +831 317 4 891354798 +921 173 5 884673780 +219 906 4 892039575 +593 51 3 875671982 +840 582 5 891204265 +721 937 3 877137359 +689 150 4 876676134 +749 812 3 878849586 +883 405 3 891916961 +45 742 4 881013176 +487 559 3 884029657 +888 792 5 879365054 +804 367 3 879445605 +236 135 2 890116033 +313 651 3 891014552 +821 274 5 874792778 +649 298 4 891440293 +878 100 2 880865661 +682 243 1 888516865 +922 151 5 891449152 +712 486 4 874730521 +731 611 3 886184683 +871 896 3 888192858 +747 524 5 888640222 +435 268 5 884130688 +630 69 3 885667939 +621 577 3 874963446 +889 202 3 880178773 +243 631 4 879988298 +868 567 1 877113481 +682 148 3 888520923 +348 117 4 886523256 +373 367 3 877100458 +843 590 3 879443544 +671 22 4 884035406 +608 195 1 880405527 +882 195 5 879867568 +782 259 1 891498267 +712 88 4 874730155 +880 276 4 880166872 +806 588 4 882388795 +85 428 5 879454235 +514 88 4 875463468 +122 57 2 879270644 +666 121 3 880313603 +705 193 3 883518903 +823 64 5 878437753 +919 15 5 875289250 +429 196 4 882385012 +222 412 1 877564050 +158 107 3 880132960 +916 593 4 880843551 +665 483 4 884293610 +385 1070 5 880870206 +589 333 5 883352402 +919 475 3 875288898 +523 14 5 883700991 +418 1313 2 891282813 +624 313 5 885215463 +753 286 3 891399477 +618 193 4 891308432 +714 291 3 892777117 +143 286 2 888407586 +757 56 4 888445279 +187 173 5 879465307 +916 831 1 880843864 +561 660 3 885810144 +1 240 3 875071898 +838 7 5 887064072 +532 427 5 892519934 +924 836 3 885457975 +881 218 4 876539260 +846 241 4 883947911 +943 186 5 888639478 +940 355 1 889480552 +815 134 4 878694613 +149 340 4 883512775 +10 617 5 877892160 +13 917 4 892015104 +674 597 3 887763150 +883 692 3 891694249 +870 210 4 879270313 +721 261 3 877137214 +679 63 3 884489283 +393 259 4 887742851 +875 321 3 876464755 +919 201 4 875920887 +864 12 5 888886984 +699 930 2 880696344 +554 202 4 876232956 +223 1052 1 891550404 +682 175 3 888517265 +847 218 3 878940254 +921 132 3 884673699 +854 225 1 882813364 +655 735 3 887427338 +774 429 1 888556698 +726 535 3 889832806 +89 86 5 879459859 +771 189 5 880659815 +640 693 5 874778207 +617 448 3 883789507 +234 939 2 892333798 +303 1335 3 879485048 +850 82 5 883194950 +798 380 3 875638680 +417 185 3 879647708 +843 209 3 879446806 +655 423 3 887693376 +334 190 4 891547083 +863 288 4 889288911 +305 464 3 886322796 +881 304 3 876535642 +134 294 4 891732365 +889 451 3 880181488 +648 1271 4 884882234 +788 187 4 880867933 +452 501 3 885476356 +823 747 4 878438585 +198 939 3 884209412 +515 300 5 887658975 +729 362 4 893286637 +750 303 4 879445911 +627 735 4 879530600 +555 505 4 879975474 +826 332 3 885689821 +646 678 3 888529127 +495 182 5 888632043 +22 405 1 878888067 +661 249 3 886841443 +508 514 5 883767301 +864 102 4 888890997 +896 739 2 887159723 +294 986 3 889242810 +657 294 5 884238247 +246 257 4 884924327 +796 566 4 893048343 +707 1479 5 886287854 +292 181 4 881104068 +655 1068 3 891585417 +870 792 3 879540005 +880 595 1 880243541 +786 127 4 882841692 +435 427 3 884131542 +638 450 1 876695415 +923 1028 4 880387624 +293 168 4 888905716 +299 1068 3 877877600 +916 944 2 880845476 +908 147 2 879722932 +152 763 5 884018370 +43 100 4 875975656 +892 187 5 886608682 +659 197 5 891385080 +847 104 3 878939266 +450 235 3 887661217 +42 595 1 881106582 +151 1047 2 879543036 +305 13 3 886323998 +892 178 5 886608681 +23 679 3 874788443 +862 480 5 879304761 +847 756 1 878776020 +643 435 5 891447314 +648 153 4 884881621 +586 172 4 884058708 +476 94 2 883364780 +234 724 4 892335739 +168 931 3 884288329 +601 96 2 876350185 +916 1268 3 880845451 +916 381 3 880845738 +727 291 4 883709009 +841 344 3 889066880 +862 1199 2 879303729 +537 641 4 886031178 +650 239 3 891385876 +881 333 5 876535642 +564 117 4 888730974 +883 174 4 891696824 +606 596 4 878149415 +710 418 3 882063685 +62 451 3 879375716 +523 523 3 883703495 +454 472 3 888266874 +719 423 3 879360583 +863 749 2 889289419 +782 1391 4 891500066 +918 658 3 891987059 +551 415 4 892784710 +429 786 2 882386966 +889 879 3 880176596 +194 168 5 879521254 +711 559 3 879994020 +790 89 4 885155770 +943 215 5 888639000 +774 210 1 888555964 +618 288 3 891307343 +919 508 5 875288570 +804 134 4 879444890 +599 476 4 880953441 +655 2 3 888474138 +851 157 4 875731605 +836 238 4 885754200 +273 313 3 891292873 +846 518 4 883948571 +804 480 5 879442057 +730 301 1 880310202 +407 153 4 875042569 +655 511 3 887427009 +647 71 4 876534275 +629 69 5 880117485 +514 81 4 875463416 +855 45 3 879825383 +707 490 2 886285792 +588 98 1 890015324 +530 174 4 883784503 +183 649 4 891464079 +755 887 3 882569845 +379 577 4 892879355 +899 228 3 884121572 +620 834 2 889987073 +28 96 5 881957250 +934 461 4 891191660 +476 245 4 883365784 +102 550 2 888801812 +559 660 1 891034250 +833 108 2 875036102 +694 606 4 875727189 +670 135 3 877974549 +435 609 4 884132873 +389 709 4 879991115 +224 555 3 888104030 +887 183 1 881379449 +899 135 4 884121857 +894 937 4 880415903 +764 946 4 876246555 +875 527 4 876465230 +891 15 4 891638780 +648 810 4 884883031 +458 1 4 886394423 +943 443 2 888639746 +881 100 4 876536414 +919 286 4 885059400 +788 291 4 880870905 +536 487 4 882359813 +712 367 4 874956841 +397 480 5 885349476 +59 929 2 888203018 +624 100 5 879792581 +474 471 3 887915307 +662 10 4 880570142 +918 28 4 891987541 +833 1017 4 875036017 +84 79 4 883453520 +932 671 3 891250915 +913 42 3 880824372 +919 289 3 875288164 +737 196 3 884314694 +655 315 4 887424720 +267 158 4 878973126 +807 235 1 892530173 +715 658 4 875963693 +760 288 4 875665867 +887 8 4 881380025 +892 385 3 886608000 +936 298 4 886832134 +727 161 4 883712716 +934 228 4 891193778 +885 97 5 885714136 +919 819 3 875288805 +698 606 2 886366770 +651 285 4 879348966 +639 162 3 891239380 +547 319 4 891282926 +622 202 4 882670252 +632 95 5 879456955 +840 489 3 891204385 +276 1483 3 892436354 +559 87 4 891034003 +313 742 3 891016932 +690 722 3 881177937 +894 877 3 882403414 +592 895 3 882607528 +110 63 3 886989363 +660 1050 4 891200678 +287 941 3 875335424 +685 324 3 879451401 +897 926 4 879993674 +757 1240 3 888445820 +693 977 3 875483597 +835 180 5 891033675 +648 208 5 884796652 +788 380 3 880869215 +693 664 2 875482689 +506 566 4 885135819 +501 122 4 883348236 +488 294 4 891293606 +833 206 4 875038671 +260 270 5 890618728 +495 96 4 888634110 +844 1039 4 877382717 +886 230 2 876033106 +918 487 4 891987446 +291 717 3 874834388 +537 343 2 886029153 +639 786 3 891241022 +798 1297 3 875916505 +716 257 5 879793465 +224 591 3 888082584 +653 213 2 880150190 +257 14 5 879029742 +864 419 4 888887984 +758 8 5 881975577 +890 204 4 882403085 +463 749 3 877384882 +806 50 5 882385200 +189 1056 3 893265123 +868 475 4 877104987 +932 483 5 891249962 +486 306 1 879874063 +886 474 4 876031720 +374 1197 4 880393892 +932 157 4 891250667 +682 769 2 888522951 +758 212 4 881976919 +385 421 2 879446026 +887 934 4 881379188 +713 302 4 888882040 +664 137 3 876524641 +805 1091 2 881695591 +836 258 4 885753475 +896 168 4 887158738 +406 216 3 880131741 +663 108 2 889492796 +625 678 3 891262561 +496 277 5 876072633 +790 222 3 884461441 +622 207 5 882592278 +102 449 4 888802176 +425 5 1 878738887 +847 735 4 878940890 +399 890 2 882340517 +776 441 2 892920403 +819 321 4 880381928 +821 1060 5 874793022 +942 511 4 891282931 +758 200 5 881977229 +758 1039 5 881975787 +334 193 4 891547334 +452 82 3 886149040 +935 257 2 884472110 +416 164 5 893214041 +776 437 1 892920446 +707 696 4 880061405 +561 72 2 885810084 +270 185 5 876955938 +884 300 1 876857789 +537 1025 1 886029488 +748 189 4 879454749 +886 288 4 876031122 +421 208 2 892241554 +524 235 1 884628059 +452 23 2 876825745 +162 826 3 877635965 +99 326 3 885678267 +909 300 5 891919232 +659 319 3 891331322 +843 204 3 879448073 +405 1334 1 885549789 +460 1137 3 882912235 +543 1174 3 876894981 +927 456 2 879182709 +327 178 4 887745661 +49 367 3 888069117 +361 443 3 879441253 +194 265 4 879520991 +907 813 5 880158770 +846 196 4 883949290 +488 742 4 891295023 +910 332 2 880821834 +707 747 3 886287900 +125 663 3 879454956 +901 476 5 877289381 +648 180 1 884368643 +714 151 3 892777812 +897 485 3 879991037 +550 181 5 883425283 +683 300 3 893283728 +227 100 5 879035251 +757 233 3 888467038 +62 172 5 879373794 +922 212 2 891448473 +314 1094 1 877887065 +831 12 5 891354687 +774 986 1 888558594 +700 531 4 884494380 +514 185 3 875311225 +179 353 1 892151270 +919 742 4 875289499 +181 593 1 878962349 +554 597 4 876232176 +655 156 2 887430634 +881 230 4 876539291 +934 315 4 891188403 +689 118 4 876676433 +804 468 4 879442687 +655 211 3 887428334 +750 328 4 879445808 +908 200 2 879722642 +727 1016 3 883709802 +815 432 5 878694952 +11 52 3 891904335 +610 505 4 888703537 +863 691 3 889289067 +936 111 4 886832597 +474 748 3 887914979 +840 367 4 891205287 +43 755 3 883956075 +522 205 4 876961020 +718 751 5 883449953 +753 347 2 891401167 +663 323 2 889492230 +708 508 4 892719193 +457 485 4 882396832 +919 325 4 875288418 +606 156 4 880924789 +778 186 4 890802724 +897 736 3 879991186 +207 685 3 876018471 +631 310 4 888464980 +756 245 3 874832096 +625 4 4 892000372 +819 315 5 884618354 +671 472 5 884036411 +745 64 5 880123905 +151 611 4 879524514 +615 528 4 879448399 +1 7 4 875071561 +811 289 2 886377426 +747 463 3 888732695 +847 257 3 878775863 +595 815 3 886921584 +747 209 3 888640437 +389 946 3 880088363 +279 713 3 886015169 +344 19 4 884899346 +451 886 4 879012773 +721 455 5 877138884 +709 578 4 879848645 +919 1086 4 875289322 +896 572 2 887160676 +758 25 4 881977669 +738 193 5 892844112 +592 340 5 882607476 +798 961 1 875303558 +771 216 5 880659894 +783 750 4 884326274 +881 524 4 876537825 +391 322 3 877398619 +429 530 4 882384986 +625 100 3 891878363 +279 462 3 875309911 +227 1068 4 879035289 +663 307 4 889491690 +649 282 4 891440330 +384 879 4 891273874 +62 739 2 879375454 +753 71 5 891401457 +606 717 3 878147770 +454 367 4 888267128 +648 83 4 884628482 +848 603 5 887047308 +883 919 4 891692713 +938 1033 2 891357137 +921 82 3 884673954 +586 1207 2 884065879 +639 647 3 891239217 +634 929 3 877018033 +802 218 3 875985767 +210 402 5 887737171 +796 389 4 893219092 +747 945 4 888639481 +580 343 5 884124304 +542 168 4 886532602 +354 13 3 891216825 +452 607 5 875266680 +782 1142 3 891499243 +929 474 4 879640126 +933 734 2 874938644 +551 673 4 892778164 +731 15 4 886182632 +886 229 3 876032509 +710 95 3 882064434 +486 16 3 879874583 +907 118 4 880159360 +498 531 3 881957195 +94 423 4 885873302 +118 188 5 875384669 +751 588 5 889133291 +537 185 4 886030805 +603 450 3 891955972 +465 357 4 883531325 +146 269 4 891457591 +846 202 5 883949594 +682 223 1 888517011 +710 1019 4 882064555 +659 443 5 891385136 +659 642 2 891386492 +854 919 4 882812406 +255 743 1 883217030 +409 1159 2 881109019 +97 172 4 884238939 +650 38 3 891381784 +833 195 5 875038529 +752 358 4 891208452 +786 121 2 882842416 +650 21 2 891387767 +886 241 4 876032531 +747 189 4 888639272 +666 478 4 880139526 +527 154 3 879455814 +637 125 3 882903582 +656 326 1 892318888 +854 288 5 882814571 +416 118 2 876697479 +863 900 3 889289067 +880 123 4 880167247 +23 1004 3 874788318 +399 658 3 882350198 +682 211 4 888522311 +833 642 3 875038626 +792 151 3 877909753 +314 117 4 877886484 +407 395 1 876348957 +862 431 5 879305312 +666 805 4 880568436 +94 939 4 885873423 +96 200 5 884403215 +705 655 3 883518852 +406 23 4 879446529 +665 421 4 884294552 +70 678 3 884063627 +793 257 4 875103901 +369 335 2 889428072 +458 1109 4 886397318 +303 873 3 879466214 +405 418 5 885548836 +116 145 2 876452980 +751 142 4 889299175 +393 892 3 887742939 +454 312 3 888015842 +42 1048 1 881106220 +942 304 5 891282457 +510 261 2 887667780 +490 100 3 875427629 +577 96 4 880474257 +655 276 4 887473778 +201 12 4 884111269 +405 1540 2 885548877 +499 166 5 885599334 +806 17 4 882389506 +653 429 3 878866679 +799 484 3 879254077 +707 1141 3 886285791 +489 754 5 891448109 +848 642 5 887039164 +881 356 3 876539477 +556 209 5 882136162 +766 485 3 891309913 +653 1267 1 880153253 +848 179 5 887042377 +456 98 3 881372779 +863 1234 3 889289619 +885 28 4 885714136 +435 401 3 884133447 +802 258 5 875984532 +429 587 3 882386895 +766 196 3 891309703 +919 318 5 875372903 +422 773 3 879744183 +709 567 2 879848272 +757 350 3 888443511 +864 501 3 888891836 +913 185 4 881367173 +551 40 1 892785056 +532 1162 2 888631576 +574 896 2 891279013 +940 147 4 885921893 +643 127 5 891445476 +932 209 5 891250258 +802 424 2 875986303 +748 650 1 879454573 +741 121 2 891455766 +619 750 3 885953537 +823 98 5 878437890 +40 1038 1 889041741 +655 896 4 887474605 +591 45 5 891031257 +897 742 3 879993314 +880 272 5 892958036 +617 672 3 883789537 +804 234 4 879442862 +648 29 2 884883149 +903 118 4 891031794 +660 294 3 891197701 +666 48 4 880139180 +666 435 4 880567883 +450 190 4 882373385 +747 21 2 888733111 +880 471 4 880167114 +653 779 1 880153467 +943 210 4 888639147 +627 174 3 879531195 +58 1008 1 884304609 +322 33 4 887313946 +593 131 4 876506731 +799 173 5 879254077 +506 1019 5 878044851 +619 554 3 885954238 +933 219 1 874854217 +741 781 4 891457424 +798 709 5 875914860 +334 866 3 891545239 +655 751 3 888474960 +807 597 4 892705277 +890 193 4 882402826 +766 613 3 891310009 +486 1137 5 879874545 +488 754 4 891293606 +655 796 2 887428280 +688 341 5 884153606 +447 257 3 878854520 +880 697 2 880242281 +886 451 3 876033965 +658 477 3 875145750 +454 751 4 888265376 +934 239 4 891194802 +405 735 5 885545306 +796 623 3 893219122 +388 98 5 886441015 +661 197 4 876013975 +374 276 4 880393056 +914 736 3 887123465 +798 204 4 875742878 +214 188 5 892668173 +911 7 4 892839551 +10 230 4 877892210 +405 203 1 885548578 +760 120 1 875669077 +588 366 5 890027430 +480 197 3 891208215 +29 180 4 882821989 +545 177 3 879899299 +925 678 3 884717790 +201 692 3 884114895 +778 150 3 890802549 +246 941 1 884923547 +94 208 4 891720643 +939 476 5 880261974 +780 485 4 891363826 +301 282 4 882074561 +936 236 5 886832183 +917 1014 2 882911246 +757 969 3 888468741 +503 79 5 879454675 +429 234 4 882386566 +303 1097 3 879466523 +825 248 4 880755869 +828 702 2 891037466 +415 204 4 879439865 +742 1 4 881335281 +832 322 3 888259984 +663 150 5 889492435 +705 227 4 883428178 +621 68 4 880739654 +391 651 5 877399133 +671 50 5 875388719 +532 495 4 888634801 +901 568 5 877131045 +875 12 5 876465230 +851 866 3 875730895 +705 843 2 883427796 +649 50 4 891440235 +920 300 3 884220058 +235 1105 2 889654460 +23 59 4 874785526 +897 679 5 879991630 +925 218 4 884717862 +664 518 4 876524290 +712 61 3 874730031 +429 510 4 882387773 +665 196 4 884294026 +229 886 1 891632164 +544 328 3 884795581 +532 105 3 874789704 +887 416 2 881380539 +222 637 2 878183713 +330 237 4 876544690 +896 15 3 887158900 +334 142 3 891548272 +580 125 3 884125387 +29 306 4 882820730 +784 310 4 891387155 +632 845 4 879459677 +600 431 3 888451908 +543 508 4 874861792 +474 515 5 887915269 +751 98 5 889134186 +886 651 5 876034074 +790 226 3 885156396 +556 988 1 882135994 +612 117 4 875324599 +303 725 1 879544153 +921 252 4 879380142 +537 124 4 886029806 +592 343 3 882607476 +13 497 5 882140166 +398 133 3 875726786 +776 218 4 892920321 +943 685 4 875502042 +608 111 1 880406507 +655 363 3 887426770 +846 715 4 883949380 +940 610 1 885921953 +900 508 3 877832764 +578 288 3 887229335 +870 185 4 875050672 +664 529 4 878090125 +732 245 4 882590200 +918 174 3 891987154 +736 1089 1 878709187 +896 70 4 887160086 +385 656 5 879441425 +706 325 1 880996945 +598 269 3 886710494 +653 227 3 880151488 +493 25 4 884132717 +650 561 3 891370113 +865 189 4 880235059 +907 497 5 880160204 +854 846 3 882813453 +561 549 2 885809654 +630 742 5 885666918 +893 122 2 874829249 +933 214 3 874853666 +303 92 4 879467131 +704 648 5 891397667 +889 137 4 880177016 +774 1079 1 888558897 +463 271 1 889943811 +526 121 2 885682590 +800 300 4 887646980 +798 949 3 875914337 +655 144 3 887429594 +537 279 2 886030177 +324 340 5 880574827 +654 95 4 887864204 +366 675 4 888857866 +786 9 5 882841955 +843 225 2 879449256 +898 748 4 888294739 +747 11 5 888638958 +223 329 2 891549079 +222 596 3 877563739 +673 292 4 888787376 +931 362 3 891035970 +693 48 5 875482280 +872 864 3 888479498 +641 513 5 879370150 +848 476 3 887047674 +918 45 4 891986959 +919 477 4 875289025 +883 568 3 891696999 +674 1620 4 887763035 +654 11 4 887864452 +466 899 5 890284231 +360 879 3 880354094 +889 597 3 880182741 +487 841 2 883445168 +29 657 4 882821942 +486 926 2 879875408 +823 135 4 878438379 +276 540 1 874792519 +907 756 4 880159198 +773 12 3 888540448 +676 303 4 892685403 +65 1041 3 879217942 +164 329 4 889401410 +588 815 4 890024829 +653 797 2 880153841 +867 475 5 880078656 +863 751 4 889289122 +437 26 2 880142399 +399 552 1 882350733 +484 183 4 891195323 +731 140 2 886186811 +840 64 4 891204664 +768 25 4 880136157 +435 768 3 884133509 +840 750 4 891202784 +943 12 5 888639093 +935 742 5 884472266 +887 87 5 881380335 +856 323 2 891489593 +5 66 1 875721019 +416 421 5 893214041 +314 38 5 877889994 +586 231 3 884062010 +749 158 3 878849903 +682 591 3 888517097 +853 678 4 879365170 +881 484 4 876537512 +693 177 3 875484882 +480 1121 4 891208689 +880 1197 3 880167151 +823 474 5 878437890 +933 215 3 874854031 +194 186 5 879521088 +523 954 5 883702474 +571 114 4 883355063 +617 357 4 883789386 +755 288 1 882569771 +658 273 4 875148262 +663 815 4 889492759 +624 824 2 879793582 +713 311 3 888882040 +830 310 4 891462185 +463 764 2 877385457 +938 477 1 891356702 +505 501 2 889334373 +615 180 4 879448475 +488 144 3 891293974 +674 827 4 887762899 +798 720 5 875915940 +10 470 4 877891747 +704 272 5 891397015 +231 300 4 888605273 +927 7 3 879177298 +747 416 5 888640916 +889 430 4 880178411 +833 5 1 879818535 +669 408 5 892549316 +890 134 5 882403122 +911 89 4 892838405 +528 427 4 886813104 +878 66 3 880869354 +715 168 4 875963657 +840 707 5 891204114 +669 647 5 891260596 +864 178 4 888887248 +189 1020 4 893265657 +721 1265 3 877138661 +249 50 4 879571695 +487 53 2 883447118 +869 242 2 884490097 +639 196 3 891239456 +766 633 4 891309947 +676 539 4 892685920 +881 476 2 879052198 +622 99 4 882592383 +622 159 3 882670309 +858 269 4 879458608 +552 181 3 879221399 +479 222 4 879460028 +923 174 5 880388872 +448 258 4 891887440 +474 505 5 887924425 +13 145 2 882397011 +59 60 5 888204965 +771 137 4 880659302 +916 28 4 880844861 +436 239 3 887769952 +804 144 4 879444890 +661 707 5 876016858 +774 215 3 888556517 +474 671 3 887926105 +854 815 2 882812981 +660 485 3 891200491 +54 250 4 880933834 +716 842 3 879796846 +87 66 5 879876403 +72 1148 4 880036911 +416 898 4 885114374 +919 418 4 875373945 +560 472 2 879976945 +669 246 4 892549497 +897 22 5 879990361 +702 222 5 885767775 +903 1073 3 891032842 +666 507 3 880567771 +586 411 2 884067199 +651 116 2 879348966 +795 655 3 881530154 +882 597 4 879863106 +897 82 5 879990361 +886 549 3 876032929 +796 286 2 892610876 +226 370 3 883890235 +848 638 5 887038073 +661 318 5 876013935 +816 313 5 891710780 +894 515 4 879896654 +503 489 4 880383625 +876 187 4 879428354 +480 79 4 891208718 +511 887 5 890004747 +892 174 5 886608616 +593 122 1 875660347 +524 126 4 884323427 +833 654 5 875039558 +727 635 2 883713419 +413 289 4 879969027 +919 268 3 875920245 +683 317 4 893286501 +303 204 4 879466491 +892 845 4 886610174 +158 385 3 880134445 +620 924 3 889987164 +655 242 4 887424795 +698 662 2 886367406 +521 108 3 884476020 +405 781 5 885547447 +648 561 2 884883679 +851 1089 3 875730418 +534 7 4 877807780 +748 64 4 879454707 +923 181 5 880387363 +343 217 3 876405771 +896 95 4 887158555 +417 411 2 879649001 +514 1115 4 875462826 +882 122 2 879863831 +940 1401 1 885921371 +919 5 4 875374088 +660 3 1 891405958 +311 222 4 884366852 +774 231 1 888557383 +174 407 1 886515295 +719 582 3 888451748 +919 1114 3 875920823 +263 484 4 891298107 +733 324 4 879535694 +766 62 3 891310475 +435 1069 4 884131489 +485 269 4 891040493 +477 794 4 875941111 +210 1118 4 887730496 +455 124 4 879109594 +540 181 4 882157060 +296 285 5 884196469 +360 285 5 880354250 +343 157 4 876405045 +773 924 1 888540146 +4 362 5 892002352 +868 228 5 877103935 +595 744 3 886921274 +652 984 2 882567180 +846 294 3 883946477 +497 719 3 879363253 +158 208 5 880135093 +668 355 2 890349190 +497 684 3 879310792 +554 527 4 876233137 +342 763 3 874984854 +664 57 4 878092649 +368 573 3 889783617 +893 237 4 874828097 +913 655 4 881725846 +820 271 2 887955020 +784 751 4 891387316 +816 288 4 891710724 +298 845 3 884183773 +851 353 3 890862878 +853 330 1 879365091 +798 88 4 875743642 +595 240 3 886921424 +738 527 5 892844111 +385 176 2 879441386 +435 636 4 884134047 +262 631 4 879793536 +716 606 5 879796214 +207 515 5 878191679 +890 142 3 882916650 +450 102 4 882468047 +683 323 3 893283903 +830 1 4 891560596 +937 268 1 876762200 +796 570 2 893048505 +898 751 3 888294621 +747 14 3 888734152 +720 268 4 891262669 +130 300 5 874953239 +727 413 2 883709710 +716 474 5 879795122 +115 79 4 881171273 +481 498 5 885828619 +70 343 4 884066910 +116 1258 2 876453376 +858 307 3 880933013 +399 24 4 882341239 +632 451 4 879459505 +919 582 5 875373214 +776 194 4 891628752 +896 238 3 887158165 +659 252 4 891045227 +847 476 4 878775961 +682 239 3 888517439 +529 332 4 882535049 +504 575 3 887912401 +606 619 4 880922565 +280 866 3 891701997 +585 1155 5 891285820 +867 181 5 880078050 +502 343 5 883702370 +378 44 3 880055037 +733 1 2 879535129 +276 65 4 874787467 +449 544 3 879959023 +676 174 5 892686459 +488 678 2 891293400 +658 467 4 875147448 +897 132 5 879990531 +896 271 1 887157278 +347 95 4 881654410 +240 349 1 885775878 +911 99 3 892840889 +301 866 4 882075171 +893 259 3 874827960 +790 273 5 884461888 +804 28 4 879445904 +795 928 1 883774317 +796 443 2 893202878 +262 476 3 879962366 +561 210 3 885809146 +380 50 4 885478497 +835 633 5 891033889 +833 826 2 875297292 +931 121 2 891036604 +576 210 4 886986400 +297 124 4 874954353 +326 227 3 879876941 +864 63 3 888893088 +747 117 2 888639780 +213 117 4 878870987 +83 1041 4 880308909 +37 7 4 880915528 +542 196 4 886533452 +733 150 2 879535440 +521 651 3 885253376 +621 50 5 874965407 +880 327 3 880166475 +334 71 3 891546299 +836 654 5 885754150 +660 95 2 891200491 +823 228 3 878438435 +624 980 4 879793358 +21 980 2 874951349 +487 966 5 883530562 +727 808 2 883712245 +922 406 4 891447944 +417 993 3 879646800 +279 95 3 875309950 +881 286 2 876961961 +875 512 5 876465408 +634 740 2 875729749 +690 655 4 881177272 +577 693 1 880475408 +253 121 5 891628142 +435 56 5 884131055 +868 201 2 877104264 +493 109 4 884130416 +286 169 3 877533101 +487 64 5 883445859 +655 581 2 887477000 +634 676 4 875729633 +413 460 3 879969536 +782 347 1 891498139 +854 664 4 882814091 +851 147 4 874728461 +846 663 4 883948873 +913 588 3 881449256 +880 1023 2 880175405 +922 449 4 891447802 +499 430 3 885598989 +880 71 4 880241289 +608 218 4 880406862 +934 223 5 891191659 +151 436 3 879524947 +178 215 5 882826807 +518 1 4 876823143 +544 313 5 884795413 +788 562 3 880871294 +655 82 2 887429559 +773 364 4 888539875 +543 318 3 874863549 +766 173 4 891309261 +596 295 4 883539402 +401 278 4 891032412 +590 1014 3 879439283 +938 763 4 891356656 +936 1086 3 886832134 +902 333 3 879463310 +839 410 1 875752274 +600 665 5 888452152 +897 161 5 879993309 +901 96 5 877130999 +919 1048 3 875289113 +923 831 4 880388211 +700 318 4 884494420 +649 471 5 891440412 +650 168 4 891381546 +538 712 3 877109773 +561 162 3 885809781 +306 303 3 876503793 +847 11 3 878939876 +373 135 1 877098784 +456 485 4 881373574 +436 348 4 887768521 +665 721 3 884294772 +872 280 3 888479275 +185 50 4 883525998 +797 127 4 879439297 +664 692 3 878152048 +618 660 3 891309040 +11 737 4 891904789 +775 302 3 891032742 +627 679 3 879531429 +361 283 4 879440694 +625 22 3 891262899 +795 96 2 881530415 +655 186 3 887428157 +293 1 2 888904861 +936 313 4 886831374 +881 625 5 876538465 +679 748 4 884312926 +897 199 4 879990465 +875 1073 5 876465230 +747 485 5 888640222 +878 707 2 880866409 +678 237 3 879544915 +537 690 2 886028604 +592 431 2 882956510 +892 423 5 886608185 +489 346 5 891362904 +332 226 5 887939092 +66 282 3 883601266 +727 841 3 883709208 +566 173 3 881649945 +894 170 4 882404329 +678 742 4 879544783 +864 229 4 888891836 +109 1016 5 880571661 +705 699 5 883427640 +610 162 5 888703343 +757 79 4 888445750 +776 708 5 891628599 +405 392 5 885545487 +840 168 5 891204868 +566 156 4 881649428 +924 1011 3 886760052 +682 1217 3 888521047 +647 79 4 876530687 +790 69 1 885155209 +751 91 4 889134705 +682 271 4 888518279 +463 1 1 890453075 +921 15 4 879379621 +303 333 4 879466088 +901 13 1 877129839 +94 91 5 891722006 +399 78 3 882348948 +748 515 4 879454662 +763 47 3 878915692 +256 96 5 882164444 +864 100 5 877214125 +633 318 4 875324813 +894 310 3 882403366 +537 190 4 886030552 +789 284 3 880332259 +712 71 5 874730261 +889 317 4 880180849 +67 756 3 875379566 +455 620 3 879108829 +536 304 3 882317183 +902 250 4 879465073 +774 393 1 888556090 +883 213 2 891693058 +847 121 3 878775523 +929 23 3 880817681 +527 129 2 879455905 +472 257 4 875978096 +919 221 4 875288898 +341 335 4 890757782 +844 24 5 877388183 +727 228 4 883711527 +216 27 3 881428365 +866 305 2 891221006 +567 492 4 882425966 +276 1036 2 889174870 +882 82 5 879867885 +629 357 4 880117062 +184 262 5 889906946 +457 388 2 882551343 +537 121 1 886030380 +385 715 3 879446671 +276 55 4 874792366 +900 200 2 877833632 +751 28 5 889133064 +840 1018 3 891211664 +630 1 4 885666779 +595 273 3 886921140 +702 449 3 885767775 +476 319 1 883365561 +899 51 1 884122387 +854 170 4 882813537 +13 853 1 882397010 +896 343 1 887235690 +500 370 3 883865952 +566 879 2 881649273 +933 546 2 874939105 +303 596 4 879468274 +406 558 3 880132276 +913 202 4 880825052 +880 603 5 880243629 +532 452 5 888630585 +897 193 3 879990466 +921 79 4 879380704 +496 705 2 876065382 +189 318 5 893265191 +407 195 4 875119886 +327 56 2 887745805 +655 340 3 888984325 +796 739 5 893047207 +844 1099 2 877387391 +886 231 2 876032247 +450 403 4 887660440 +790 825 3 884462385 +763 625 4 878923488 +294 93 4 877819713 +887 38 5 881381503 +16 591 4 877726944 +41 152 4 890687326 +831 64 5 891354534 +892 214 2 886608897 +788 550 3 880869508 +450 221 4 882395052 +488 873 3 891293152 +727 283 2 883709009 +874 150 4 888632448 +749 25 4 878846697 +941 117 5 875048886 +716 199 4 879796096 +910 252 2 881421035 +932 1512 5 891249038 +671 159 5 883949781 +766 965 3 891310540 +661 418 4 876036240 +455 50 5 878585826 +894 381 3 882404430 +447 228 4 878855682 +688 898 5 884153606 +360 83 4 880355845 +761 293 4 876190130 +243 367 3 879988976 +405 1006 1 885546445 +279 385 4 875309351 +166 315 3 886397478 +938 333 4 891356146 +884 381 5 876859751 +934 100 4 891189511 +756 89 4 874828769 +655 869 2 889282952 +654 535 3 887863962 +865 302 5 880142614 +881 432 3 876537825 +618 731 2 891309514 +178 410 4 882824467 +533 846 2 879365886 +42 826 3 881106419 +790 63 2 885157837 +545 510 3 880347957 +839 1009 3 875752560 +897 182 4 879990683 +833 209 5 875124604 +592 514 5 882955543 +803 339 3 880054834 +622 135 4 882592346 +694 510 5 875726927 +792 597 3 877910478 +870 2 2 879714351 +643 496 4 891446688 +815 542 4 878694820 +666 433 3 880568560 +181 106 2 878963167 +653 176 3 878854145 +290 993 4 880473630 +539 204 4 879788045 +486 950 4 879875069 +628 8 2 880777167 +830 71 4 891561474 +925 682 4 884717586 +407 747 3 876339940 +56 559 4 892910646 +645 22 4 892054508 +796 434 4 892676195 +269 17 2 891449670 +896 631 2 887159464 +435 1552 3 884134187 +923 245 3 880387199 +177 127 5 880130667 +552 1095 3 879222738 +796 188 2 892675654 +871 173 5 888193383 +621 313 5 883798770 +655 128 3 887429732 +401 751 1 891031532 +468 82 5 875292320 +663 1119 3 889493437 +913 175 5 881366473 +890 655 3 882915818 +774 7 2 888558539 +92 199 3 875811628 +472 150 3 875978686 +776 187 4 891628632 +879 15 4 887761865 +867 276 1 880079020 +930 763 3 879535102 +592 357 4 882956102 +521 343 3 884475605 +586 22 3 884058708 +303 461 4 879484159 +887 418 4 881380025 +637 931 1 882905388 +916 222 3 880843419 +588 222 3 890015722 +896 201 3 887158900 +474 187 5 887923708 +911 501 3 892840916 +577 708 3 880475067 +794 420 4 891035662 +939 409 4 880261532 +886 657 5 876031695 +265 288 4 875320024 +853 688 3 879365169 +119 1265 3 891287060 +618 458 3 891309579 +210 98 5 887736429 +854 463 3 882814395 +564 118 4 888730699 +527 69 4 879456490 +618 62 2 891309697 +198 475 4 884205277 +716 482 5 879795867 +704 528 3 891397491 +934 405 5 891189819 +818 690 3 891870301 +405 1487 1 885546724 +537 183 3 886031407 +752 882 4 891207846 +925 56 3 884717963 +689 410 1 876676293 +781 268 2 879633862 +286 413 3 877531226 +655 255 3 887477336 +846 1069 4 883948221 +504 330 4 887831274 +13 566 5 882397502 +280 392 5 891701328 +645 318 5 892053241 +635 682 2 878878685 +178 12 5 882826162 +379 151 4 880525771 +453 826 1 877553430 +198 343 3 884204666 +766 216 3 891310038 +828 14 4 891035819 +773 475 3 888538533 +805 47 5 881698778 +846 492 3 883947737 +111 311 4 891680028 +880 245 2 892958350 +711 42 3 876278831 +901 566 5 877131118 +815 191 5 878693183 +936 927 4 886833052 +841 873 4 889067121 +846 684 5 883948141 +749 1088 2 881602596 +422 567 3 879744218 +693 56 4 875483268 +612 259 3 875324355 +618 403 4 891309608 +700 423 4 884493943 +666 385 3 880568028 +849 174 5 879695469 +591 866 3 891039658 +524 704 4 884636691 +637 740 2 882903914 +663 15 4 889493069 +763 475 4 878915722 +704 493 4 891397190 +450 23 5 887136837 +655 23 3 887426971 +344 588 5 884900993 +882 228 5 879867694 +860 890 2 880829225 +303 1040 1 879485844 +696 748 1 886404268 +90 316 5 891382658 +536 148 4 882318820 +16 732 5 877726944 +894 898 4 883518875 +667 69 3 891035104 +268 96 5 876513953 +498 135 5 881956576 +499 624 2 885599372 +881 403 3 876539330 +828 381 3 891036568 +655 900 3 887424991 +682 790 3 888521942 +692 1047 2 876953616 +893 1218 3 874830338 +916 91 4 880844223 +474 255 4 887915600 +694 89 4 875728220 +479 431 4 879461741 +879 1284 3 887761562 +796 238 3 892761427 +420 190 5 891356864 +616 339 3 891224718 +790 68 3 885157440 +919 4 1 875374032 +128 69 4 879966867 +682 696 4 888518035 +798 1164 3 875637744 +890 215 4 882916356 +249 853 4 879572256 +608 190 4 880405527 +654 3 3 887864071 +923 689 3 880387001 +11 427 4 891904300 +864 628 4 888890639 +683 307 3 893286347 +542 282 3 886533452 +545 168 4 879900156 +900 834 1 877833536 +648 2 4 884882742 +43 421 3 883954853 +618 275 3 891307577 +174 951 1 886515551 +927 367 5 879199250 +671 566 4 884035303 +568 520 2 877907327 +666 135 4 880139562 +798 194 4 875743366 +524 1046 3 884637173 +543 183 4 874864034 +298 125 3 884125912 +608 443 5 880405824 +943 237 4 888692413 +825 130 2 889021235 +756 171 4 874827062 +899 95 5 884121612 +716 615 3 879795269 +796 45 3 892675605 +903 1101 4 891033828 +6 468 3 883602174 +712 168 2 874956357 +834 475 5 890862311 +677 289 1 889399113 +440 361 5 891548567 +374 54 4 880396048 +782 339 3 891498676 +867 168 4 880078604 +28 448 4 881961600 +160 11 4 876858091 +789 1017 3 880332316 +590 740 4 879439645 +95 250 4 882803989 +918 135 1 891986634 +854 24 4 882812352 +749 866 3 878848639 +804 195 5 879442538 +13 262 4 881514876 +714 3 5 892777876 +548 286 1 891042194 +406 724 3 884630973 +915 270 3 891030070 +562 185 5 879196075 +524 461 3 884635287 +190 258 3 891033183 +869 15 1 884491993 +717 300 5 884641808 +387 953 2 886484012 +883 49 3 891694636 +851 828 2 875730482 +186 12 1 879023460 +886 1208 3 876032596 +643 448 3 891449580 +406 444 3 879792928 +76 264 3 875027292 +345 248 5 884994083 +13 393 3 882141617 +727 941 2 883711874 +654 70 4 887864663 +524 4 4 884636498 +776 145 2 892920381 +916 721 4 880845049 +715 64 5 875963242 +929 1 3 878402162 +647 73 5 876537697 +373 233 3 877105588 +901 679 4 877131205 +790 246 4 884461283 +385 357 4 879441339 +788 963 4 880868644 +807 313 5 892527050 +632 527 4 879458429 +790 49 3 885156852 +95 1227 2 880572581 +181 1356 1 878963204 +667 210 3 891035051 +916 281 3 880843727 +416 791 2 886319550 +682 229 4 888520923 +394 24 5 880889350 +852 260 3 891036414 +749 167 2 878848701 +696 302 5 886403632 +868 198 5 877103757 +643 156 5 891446826 +13 127 5 881515411 +346 159 4 874949011 +927 274 1 879181133 +342 152 4 874984341 +404 272 4 883790181 +618 25 2 891308260 +187 137 5 879464895 +666 514 4 880139295 +240 358 2 885775857 +283 291 2 879297867 +774 44 1 888558343 +886 54 3 876031279 +7 592 5 891353652 +734 97 4 891022993 +406 602 3 882480865 +524 259 3 884320358 +732 875 1 882590201 +508 629 4 883775341 +373 88 4 877106623 +878 60 4 880867035 +796 1303 2 893048713 +694 143 4 875727513 +298 549 4 884183307 +485 346 4 891040967 +637 676 3 882903767 +846 1045 3 883950364 +474 284 4 887915645 +854 840 2 882813364 +211 528 4 879459803 +825 385 5 881101641 +788 177 3 880868513 +716 70 4 879796046 +883 331 3 891691654 +751 83 5 889134705 +64 174 5 889737478 +796 611 4 892675694 +498 517 4 881957353 +793 282 4 875104340 +690 1273 3 881180382 +850 294 5 883194367 +655 1648 2 891817435 +766 435 3 891309053 +672 1023 2 879789672 +268 219 3 875744533 +643 144 4 891447286 +900 471 2 877833259 +823 318 5 878438179 +706 148 4 880997464 +588 553 4 890025864 +887 365 5 881381610 +443 333 5 883504654 +26 284 3 891371505 +655 47 3 887426972 +790 7 4 884461796 +721 28 5 877140137 +562 318 3 879194894 +463 16 4 877385830 +880 185 5 880241355 +601 357 4 876349150 +840 430 5 891204418 +684 763 2 878232961 +743 308 2 881277314 +470 319 3 879178216 +387 286 2 886484385 +847 411 1 878939349 +354 710 4 891217340 +13 474 4 881515112 +754 477 5 879451775 +642 993 4 891317955 +764 132 5 876246236 +724 748 1 883757784 +653 984 4 884408848 +683 305 4 893286261 +311 371 5 884366137 +449 640 5 880410734 +505 724 4 889333861 +207 393 4 877838977 +806 179 5 882387870 +756 173 3 874826565 +450 734 2 882471737 +62 204 3 879373737 +514 1600 4 875723266 +790 678 3 884461115 +782 1399 2 891498919 +864 466 4 888887794 +527 86 4 879456438 +537 484 4 886031105 +662 275 4 880571006 +936 250 5 886832337 +694 69 5 875727715 +593 318 5 875671413 +535 955 3 879618338 +804 160 4 879442707 +943 471 5 875502042 +727 421 5 883711181 +164 9 4 889402050 +56 678 4 892676056 +916 51 2 880845658 +896 118 2 887159805 +841 678 4 889067313 +725 9 4 876106243 +669 191 3 892550310 +790 249 3 884461849 +836 89 4 885754029 +5 366 3 875637145 +10 699 4 877893020 +712 462 3 874730085 +934 617 4 891191778 +867 175 5 880078818 +435 824 1 884134627 +887 1079 1 881378773 +707 137 5 880059876 +838 455 4 887064275 +901 748 4 877125480 +311 51 4 884366010 +672 255 2 879789278 +345 200 4 884916339 +474 213 4 887927509 +788 726 4 880871128 +931 310 3 891035876 +290 66 4 880731963 +428 302 5 885943651 +468 963 5 875286036 +731 606 3 886182366 +405 1055 3 885546202 +715 39 3 875964273 +803 303 4 880054629 +788 100 5 880868277 +796 100 3 892611093 +690 402 3 881180497 +544 259 1 884795581 +807 418 4 892529358 +883 559 3 891695692 +144 284 3 888104213 +881 265 5 876538286 +706 682 2 880996945 +840 429 3 891204827 +149 303 4 883512752 +717 262 4 884641621 +773 710 3 888539366 +851 981 1 875730826 +618 181 5 891307263 +761 15 5 876190314 +650 432 4 891386830 +665 566 2 884293741 +650 160 3 891383572 +690 763 4 881177553 +480 185 2 891208718 +764 218 4 876245837 +927 421 4 879194661 +541 265 5 885595654 +452 385 4 875560933 +836 793 2 885754029 +697 122 4 882622248 +885 402 3 885715489 +748 498 4 879454831 +777 818 5 875980669 +857 547 3 883432633 +896 89 5 887159262 +916 1109 3 880844861 +648 1041 3 884882192 +942 193 5 891283043 +256 222 4 882150313 +46 332 4 883611482 +473 246 5 878157404 +655 381 3 887474656 +508 378 5 883777430 +826 181 5 885690526 +840 300 3 891204056 +826 195 5 885690636 +621 568 5 874963797 +661 274 4 876037199 +938 476 4 891357137 +846 133 4 883948534 +41 180 5 890687019 +934 229 4 891194539 +606 501 4 880926084 +663 237 4 889492473 +269 89 2 891448800 +886 384 3 876034074 +806 56 5 882387999 +513 685 4 885062601 +883 60 5 891693012 +774 450 2 888557557 +880 549 4 880243230 +660 809 2 891201565 +407 388 2 876348849 +925 185 4 884717963 +148 238 4 877398586 +940 170 4 885921401 +802 413 4 875986303 +393 322 4 887742825 +607 494 5 883879556 +416 72 2 886318707 +619 176 5 885954053 +95 472 5 879197329 +870 483 5 880584497 +938 9 3 891356413 +161 197 3 891171734 +893 410 4 874828649 +697 1012 1 882622824 +768 16 3 880135943 +368 53 2 889783562 +682 427 4 888523581 +854 238 5 882813648 +712 234 2 874729935 +783 881 4 884326584 +145 436 5 877343121 +450 671 3 882371416 +633 56 2 875326491 +537 642 4 886031342 +109 226 5 880578503 +504 1090 4 887910961 +665 238 4 884294772 +606 919 2 880923349 +537 419 2 886031342 +698 427 1 886367013 +619 562 3 885954341 +453 732 3 877561695 +758 540 3 882054637 +497 169 4 879309992 +610 70 4 888703609 +406 193 4 879445771 +488 239 4 891294976 +890 1039 4 882403122 +796 699 4 893188576 +754 15 5 879451743 +836 192 5 885754118 +399 794 3 882349274 +927 79 3 879184644 +530 1226 4 891568366 +535 276 3 879618965 +403 151 4 879786270 +881 826 1 879052109 +7 39 5 891353614 +524 943 3 884636453 +545 232 3 883115515 +625 423 4 891263760 +862 56 3 879305204 +798 588 4 875638447 +899 69 3 884121125 +500 151 3 883874059 +72 1051 4 880035958 +92 246 4 890251289 +472 140 3 875980823 +592 189 5 882955583 +881 168 3 876537933 +606 825 5 878149689 +804 732 4 879445037 +782 1527 2 891498641 +521 23 3 884478428 +659 1168 4 891386641 +535 566 3 879618338 +884 258 5 876857704 +595 1142 5 886921199 +639 739 3 891240868 +406 565 3 880132319 +650 732 3 891371061 +896 472 2 887160983 +670 485 5 877974945 +663 827 2 889492796 +796 1057 2 893047967 +697 7 5 882622798 +612 1060 4 875324756 +653 712 3 880153639 +437 606 4 880140978 +848 732 5 887048573 +758 344 3 888715390 +267 69 4 878971659 +920 332 3 884219953 +867 270 5 880077780 +62 237 3 879372563 +532 204 5 892863286 +632 739 3 879459210 +787 305 3 888979721 +830 211 4 891898720 +916 530 4 880844202 +121 25 5 891390316 +889 170 4 880177994 +279 152 5 882146492 +918 1171 4 891988646 +694 485 4 875728952 +916 143 3 880844463 +308 42 4 887738191 +653 185 2 880606620 +120 744 4 889490522 +592 268 5 882607286 +665 134 4 884293569 +484 211 4 891195036 +923 546 4 880387507 +815 435 4 878694269 +833 616 5 875124024 +13 322 3 882140792 +863 346 5 889288911 +537 216 3 886031540 +210 205 4 887736393 +833 30 4 875225297 +930 245 3 879534165 +573 276 3 885843964 +479 22 4 879461280 +889 180 4 880180650 +256 265 4 882164479 +851 595 3 875731021 +867 150 5 880078677 +521 222 4 884475799 +286 97 4 877533101 +782 1096 2 891499699 +758 227 4 884999133 +908 648 4 879722333 +679 168 5 884487534 +280 595 3 891701666 +887 24 5 881378219 +622 183 4 882669826 +934 554 4 891194462 +551 67 5 892785164 +862 742 5 879303298 +880 801 3 880175239 +851 1025 2 884205201 +810 288 3 879895233 +567 387 4 882426899 +454 530 2 881960174 +59 620 4 888203959 +533 748 3 890659295 +597 181 4 875340062 +40 343 1 889041790 +922 172 5 891449021 +854 294 2 882811742 +593 301 4 877728878 +779 1028 4 875996932 +393 1531 4 889731794 +897 622 3 879990877 +428 754 4 885943847 +717 888 5 884642133 +698 525 1 886367615 +586 80 2 884067003 +666 196 3 880568129 +933 550 1 874939185 +7 125 4 891353192 +327 1129 2 887745891 +878 20 2 880865715 +52 333 4 882922038 +837 25 3 875722169 +580 271 5 884124248 +150 124 2 878746442 +312 638 5 891698580 +373 69 4 877099137 +92 39 3 875656419 +47 304 3 879439144 +618 7 4 891309887 +676 269 2 892685224 +665 157 3 884294671 +868 1098 5 877107416 +624 236 3 879792358 +495 498 3 888633165 +848 679 3 887047674 +796 794 4 893047320 +714 284 3 892777438 +682 562 2 888522700 +412 214 3 879717253 +551 655 5 892783142 +579 382 3 880952237 +615 135 4 879448599 +901 56 1 877130999 +709 234 5 879847945 +262 727 3 879792897 +677 508 5 889399171 +746 403 4 885075337 +543 62 3 875663687 +575 176 4 878148087 +694 470 4 875727144 +288 98 5 886373474 +554 328 4 878801354 +890 524 4 882403379 +792 276 3 877910305 +860 846 2 887754411 +567 1012 3 882427273 +888 69 4 879365104 +704 679 2 891398726 +537 1163 1 886030347 +841 333 4 889066780 +682 801 3 888521907 +61 310 4 891206194 +844 168 4 877386990 +724 750 2 883757170 +747 304 4 888638370 +158 648 5 880135020 +548 1011 2 891415746 +715 118 2 875962395 +735 117 3 876698897 +795 429 3 880568492 +426 609 3 879441931 +130 1058 5 876252064 +698 428 1 886367955 +64 48 5 879365619 +932 1573 4 891249239 +853 288 4 879364822 +234 702 2 892335707 +831 323 2 891354275 +894 223 4 879897149 +551 531 5 892777485 +537 61 4 886031211 +809 307 5 891036809 +18 516 5 880130861 +374 274 4 880393668 +864 770 3 888891322 +887 187 4 881381610 +835 185 4 891033957 +864 541 2 888892667 +682 1067 3 888520497 +636 118 5 891449305 +663 1011 3 889493027 +689 596 3 876676134 +466 226 4 890285034 +889 676 2 880176874 +360 955 5 880356166 +273 304 3 891292935 +650 109 3 891386167 +601 743 1 876348410 +298 204 4 884182148 +339 293 5 891033282 +655 312 2 892011201 +453 780 3 877561522 +328 347 5 885596118 +887 697 1 881380623 +378 55 4 880046229 +677 300 5 889398960 +346 196 3 874950692 +913 174 5 881367620 +512 325 2 888579139 +405 380 2 885545883 +516 214 3 891290649 +643 447 4 891449249 +862 60 5 879305143 +763 234 3 878923288 +711 485 4 879993278 +451 678 5 879012510 +871 313 5 888192858 +693 528 1 875484613 +712 627 4 874956515 +670 8 4 877975594 +7 663 5 891352220 +669 522 4 892550196 +385 671 3 879443315 +933 110 1 874938664 +698 1115 2 886367955 +902 515 5 879464726 +713 269 4 888882040 +562 173 5 879196308 +447 278 3 878854810 +387 109 4 886481073 +903 98 5 892760784 +484 153 5 891194716 +405 1551 1 885546835 +663 313 5 889491617 +884 640 1 876859161 +912 483 5 875965906 +487 746 4 883529540 +863 268 5 889289240 +602 117 5 888638674 +689 260 3 879211543 +144 276 3 888104122 +883 322 5 891692168 +515 294 3 887658910 +606 181 5 878143047 +476 47 3 883364392 +666 663 4 880139409 +795 135 3 881530126 +804 552 4 879446209 +693 258 4 875481336 +758 1001 5 882055227 +863 748 3 889289456 +786 28 5 882843646 +639 483 5 891240520 +714 1 3 892776123 +831 307 2 891354064 +43 127 4 875981304 +617 453 1 883789715 +567 631 3 882426869 +655 1063 3 888474909 +645 340 4 892051762 +259 293 4 883371861 +846 96 4 883947694 +809 313 4 891036743 +887 718 1 881377812 +903 177 4 891033541 +773 855 2 888538726 +805 331 4 879971214 +810 902 5 890083210 +846 488 5 883948343 +213 64 5 878955680 +919 58 5 875374032 +877 226 3 882678547 +669 531 3 892550310 +435 33 3 884132672 +503 174 5 880472250 +833 452 1 875224178 +871 750 3 888192689 +804 1170 3 879445393 +464 295 5 878355033 +868 159 2 877107416 +907 281 5 881030348 +618 8 3 891307862 +931 744 4 891036463 +721 334 1 877136831 +828 904 3 891618316 +900 325 1 877832320 +931 275 5 891037521 +294 1028 3 877819897 +149 345 4 883512623 +788 931 2 880871551 +711 921 5 879993318 +548 305 1 891042624 +387 550 2 886483252 +393 1270 3 889731673 +201 479 4 884111397 +480 654 4 891208718 +118 508 4 875385057 +690 9 3 881178232 +901 949 3 877131500 +474 127 5 887915188 +537 528 3 886030805 +489 351 5 891446623 +13 78 1 882399218 +276 12 5 874787407 +683 272 4 893286260 +275 199 4 880315170 +653 174 5 878854051 +361 285 4 879440516 +482 328 4 887643289 +523 258 5 883699583 +763 25 4 878922982 +504 216 4 887838450 +846 575 2 883950569 +863 1434 2 889289618 +194 496 4 879520743 +682 628 4 888517364 +625 174 4 891263589 +452 1057 1 876215627 +661 657 4 876013714 +733 1226 3 879535968 +647 405 4 876532747 +805 469 4 881698243 +932 54 4 891251038 +276 303 4 892436271 +889 11 5 880177941 +747 393 2 888733111 +829 170 4 881698933 +435 181 5 884132208 +622 781 3 882671595 +679 1 3 884487688 +922 403 3 891450805 +804 1228 3 879446090 +881 71 4 876538322 +396 823 2 884646647 +198 423 3 884208241 +321 435 5 879439860 +785 168 4 879438810 +100 892 2 891375484 +13 691 4 889316404 +447 12 5 878855907 +457 284 3 882394010 +442 227 3 883390574 +659 474 2 891384739 +697 328 5 882621486 +358 114 5 891270652 +274 472 3 878945918 +387 513 5 886483330 +758 331 4 882322862 +671 1597 1 884035892 +454 147 3 888267455 +654 476 3 887863914 +844 144 3 877387825 +694 118 4 875729983 +907 333 5 885860288 +914 1355 1 887123886 +533 1174 3 882821669 +224 468 4 888104030 +889 979 3 880177435 +455 181 4 878585826 +840 512 5 891205371 +773 184 2 888540041 +514 949 3 886189510 +640 269 5 886803575 +707 64 3 886286170 +626 333 1 878771281 +943 595 2 875502597 +621 588 3 874965208 +843 133 3 879448431 +796 111 4 893047288 +699 137 4 878882667 +883 384 3 891694431 +834 25 3 890862468 +561 524 4 885807888 +889 29 3 880182428 +585 1475 3 891283681 +693 576 2 875484148 +116 298 3 876452555 +752 1127 3 891208170 +906 740 4 879435415 +498 673 3 881958343 +121 736 5 891387992 +532 234 5 889235367 +667 28 5 891034913 +679 727 4 884487961 +890 423 5 882402905 +262 255 3 879790816 +847 216 3 878940356 +883 137 5 891717356 +429 39 3 882386378 +749 658 4 878849404 +557 289 4 880484992 +606 50 5 878142864 +148 174 5 877015066 +937 515 5 876769253 +860 900 3 886354648 +787 877 2 888980193 +877 55 4 882678512 +699 220 2 885775430 +738 231 3 875350995 +869 269 4 884493279 +880 1151 3 880167454 +515 342 3 887659423 +868 825 1 877109435 +922 265 5 891447777 +788 444 3 880870626 +291 800 2 874834944 +500 411 2 883865826 +378 1074 3 880332802 +607 887 3 883878999 +276 39 3 874790995 +338 275 5 879438063 +409 180 5 881107155 +480 249 1 891207975 +432 288 5 889416456 +881 202 4 876537825 +218 204 3 877488692 +795 432 3 881258945 +763 607 4 878917850 +344 83 4 884901503 +790 431 3 885157159 +627 520 5 879529916 +18 242 5 880129305 +488 215 5 891294742 +93 276 2 888705257 +624 117 3 879792446 +796 151 5 893218765 +730 875 2 880310201 +776 432 1 891628977 +679 294 1 884312763 +826 679 2 885690712 +922 71 4 891448580 +450 43 4 887139080 +655 645 3 887474288 +843 56 3 879443174 +466 173 3 890285762 +440 923 5 891577843 +95 399 4 880572449 +843 566 3 879444766 +890 637 3 882404610 +671 1109 2 883546677 +804 692 5 879442122 +870 154 4 876319311 +236 510 3 890118543 +870 988 2 875050439 +476 90 3 883364433 +749 98 5 878847404 +899 471 4 884120007 +921 190 2 884673602 +932 589 5 891250609 +916 727 4 880845049 +690 70 2 881179584 +324 125 5 880575714 +122 357 3 879270084 +698 175 3 886367406 +468 135 5 875287895 +809 302 5 891036743 +747 603 5 888639362 +896 46 2 887160750 +537 497 4 886030863 +857 116 5 883432663 +311 91 3 884366439 +542 42 3 886532726 +271 472 2 886106165 +504 729 5 887832571 +918 190 5 891986720 +459 619 4 879563169 +435 685 2 884134345 +189 137 4 893264407 +943 62 3 888640003 +795 25 5 880556527 +795 120 3 883255416 +706 273 3 880997142 +527 558 4 879456162 +934 388 3 891197678 +462 655 5 886365467 +666 195 3 880314272 +256 1471 3 882164999 +660 1135 2 891201675 +303 636 3 879484695 +279 450 4 889326161 +608 303 4 880402983 +527 214 4 879456030 +796 484 5 892675528 +110 364 3 886989612 +912 496 4 875965939 +450 172 4 882372103 +929 271 2 880817603 +405 373 2 885548162 +916 134 5 880844123 +940 95 5 885921800 +601 135 4 876350443 +906 628 5 879435551 +912 143 5 875966694 +94 636 4 891721351 +336 585 3 877756966 +716 420 4 879796766 +857 988 2 883432423 +666 153 4 880314103 +889 190 3 880177994 +660 403 3 891357371 +125 1170 1 892838591 +838 235 2 887064515 +880 254 2 880167599 +900 294 4 877832113 +774 808 1 888557451 +765 222 2 880346340 +883 1222 5 891696999 +655 902 2 892333973 +936 14 4 886832373 +245 151 3 888513279 +608 23 5 880403239 +486 1176 3 879874388 +28 31 4 881956082 +653 809 3 880153620 +843 436 2 879443394 +709 214 1 879846922 +890 489 4 882402826 +747 875 3 888638455 +932 647 5 891250987 +774 307 1 888555792 +660 470 2 891199883 +269 186 2 891449670 +897 566 2 879991976 +655 118 2 887426666 +496 483 4 876065259 +504 205 3 887909299 +840 664 3 891204474 +532 339 5 892859148 +773 61 5 888538908 +177 174 4 880130990 +877 702 4 882677386 +745 207 2 880123609 +545 175 4 879899641 +925 323 4 884633287 +743 269 4 881277267 +504 476 5 887831447 +789 137 2 880332189 +18 88 3 880130890 +527 192 4 879455765 +843 271 5 879442947 +665 188 4 884293366 +616 349 4 891224748 +927 41 4 879195407 +532 739 5 893119335 +854 69 4 882814395 +622 174 4 882592559 +823 531 4 878437890 +889 17 4 880181910 +912 423 5 875966694 +807 969 4 892528375 +712 401 3 874957027 +807 161 4 892528919 +870 697 4 875050603 +174 99 3 886515457 +793 293 4 875104091 +152 294 4 880149098 +619 96 5 885954083 +506 529 3 874873615 +778 157 3 891233153 +103 294 4 880416515 +786 237 5 882842195 +857 283 5 883432633 +883 226 3 892557605 +393 288 3 887741960 +728 304 4 879442794 +18 856 5 880131676 +540 280 3 882157797 +280 3 2 891702406 +361 603 5 879441215 +875 753 3 876465188 +101 546 4 877137015 +936 249 5 886832808 +407 739 3 876344062 +833 240 4 875035624 +709 431 5 879848511 +919 1012 4 875289611 +901 35 4 877131685 +345 974 3 884991581 +633 77 3 877212173 +880 734 3 880175240 +442 268 4 883388092 +838 12 4 887067063 +851 881 3 875729751 +766 672 3 891310824 +64 234 4 889737800 +907 198 5 880160162 +627 28 3 879529987 +786 696 3 882842149 +896 474 3 887159426 +684 67 3 878762144 +7 132 5 891351287 +394 69 5 880887063 +293 185 5 888905840 +289 121 3 876789736 +804 432 3 879441677 +699 50 3 878881875 +447 25 4 878854630 +815 65 5 878694664 +603 222 4 891955922 +632 693 2 879458692 +804 265 4 879445037 +788 270 2 880867855 +119 751 3 886175361 +804 173 4 879442412 +747 86 5 888638958 +885 946 3 885714933 +791 9 5 879448314 +274 629 5 878946645 +918 179 2 891988337 +894 744 3 880416072 +393 398 4 889731753 +618 99 3 891308019 +870 471 4 885071869 +758 364 4 882055394 +156 157 4 888185906 +498 9 2 881954931 +931 116 4 891036734 +655 566 3 888893279 +889 97 3 880178748 +924 202 4 886760020 +600 373 3 888452490 +897 73 3 879991341 +749 9 3 878846903 +218 663 3 877488492 +592 1258 1 882608960 +486 831 3 879875316 +880 88 3 880174705 +690 73 2 881177271 +940 174 4 885921310 +623 202 1 891034620 +711 189 5 886030557 +736 286 4 878709365 +709 1218 4 879846623 +321 603 5 879438607 +128 468 1 879968243 +437 121 3 881001766 +878 317 4 880866054 +474 929 3 887916330 +541 110 4 883866114 +766 402 3 891310565 +102 785 2 892991376 +890 737 3 882917152 +837 1047 1 875722267 +721 323 3 877137598 +880 405 4 880167328 +870 641 4 875050524 +700 169 3 884493862 +94 1009 4 891722845 +535 25 4 879619176 +71 52 4 877319567 +128 229 2 879968071 +712 66 5 874729816 +870 192 5 889717102 +417 268 4 879649657 +664 611 5 878090705 +334 1202 4 891544680 +757 175 3 888445551 +896 1078 3 887160983 +693 697 4 875482574 +655 658 3 887427130 +907 713 5 880159172 +684 1301 3 878760019 +937 297 4 876769436 +487 431 3 883529593 +846 179 5 883948571 +805 772 3 881698881 +5 455 4 875635174 +411 8 3 891035761 +867 207 5 880079094 +887 760 5 881378669 +615 168 5 879449110 +474 582 5 887927728 +825 235 3 880756678 +409 475 4 881107750 +827 301 4 882201885 +648 197 3 884628644 +459 105 4 879563819 +747 39 4 888640684 +423 339 2 891394788 +881 106 4 879052493 +437 511 5 880141962 +434 15 3 886724453 +671 17 4 883546889 +207 73 3 876079087 +757 276 4 888444181 +843 275 3 879446680 +572 14 4 879449683 +586 218 3 884060705 +764 89 4 876245837 +815 650 2 878696213 +911 404 3 892840950 +897 97 5 879990622 +716 122 2 879794727 +89 15 5 879441307 +433 205 3 880585730 +751 179 4 889298074 +716 175 2 879795644 +513 841 4 885062602 +932 238 3 891250609 +940 319 2 884800944 +184 238 4 889909069 +504 185 5 887838624 +693 649 2 875483169 +719 620 4 879359034 +299 1300 2 877878382 +347 123 3 881654301 +870 302 4 878737704 +846 143 5 883948804 +783 331 3 884326461 +267 233 4 878972731 +678 515 4 879544782 +751 215 4 889133334 +674 539 1 887763151 +134 269 3 891732122 +215 181 4 891435597 +11 8 4 891904949 +624 307 3 891961056 +815 631 4 887978234 +701 275 5 891447228 +880 365 2 880242660 +751 117 4 889132269 +788 79 4 880868559 +863 339 3 889289353 +587 914 4 892871031 +763 730 5 878923456 +654 291 4 887863914 +853 299 4 879365092 +923 288 5 880386897 +640 184 5 889235992 +828 60 4 891380167 +796 316 5 892610692 +880 768 2 880242848 +907 729 5 880159821 +719 97 3 879360845 +887 252 4 881378972 +129 990 2 883245452 +665 126 4 884290751 +787 352 2 888979657 +135 554 3 879858003 +659 241 3 891387121 +788 363 2 880871088 +817 289 2 874815789 +435 549 3 884132588 +85 515 5 879829265 +629 144 5 880117430 +543 463 3 874864034 +838 408 4 887066040 +234 611 5 892078605 +537 948 1 886029239 +847 456 1 878939393 +790 585 2 885157686 +727 39 2 883712780 +443 175 2 883505396 +912 482 5 875965939 +887 926 5 881378537 +815 163 4 878695841 +256 245 4 882150152 +911 204 4 892839930 +592 1016 4 882608145 +82 895 1 884713704 +682 1178 1 888521866 +707 200 2 886286491 +795 121 3 880558035 +363 176 4 891495109 +627 1478 3 879530967 +700 73 3 884494380 +694 215 3 875728181 +758 1143 5 880672637 +537 508 4 886030108 +897 183 5 879990531 +883 227 3 891696930 +454 252 2 881959336 +198 526 4 884208273 +326 178 5 879875175 +914 451 2 887122085 +788 436 3 880871127 +622 1407 1 882672922 +880 719 3 880174961 +908 488 4 879722642 +724 1234 1 883757170 +868 180 4 877104913 +682 678 1 888516814 +263 323 1 891297485 +823 8 5 878437925 +930 283 4 879535544 +451 988 1 879012773 +223 405 1 891550005 +846 23 4 883948089 +821 476 4 874792403 +503 183 5 879454754 +666 273 3 880313292 +913 530 2 881367312 +771 304 5 886640562 +173 301 5 877557076 +788 97 3 880868235 +907 1119 5 880159865 +373 1530 2 877107138 +201 770 3 884112426 +908 479 4 879723022 +943 1011 2 875502560 +571 484 4 883354992 +916 154 4 880844552 +694 451 4 875729068 +536 378 5 882360405 +920 682 3 884220058 +630 357 3 885668090 +620 1066 5 889988069 +542 95 3 886533562 +711 116 5 888458447 +778 200 5 890726264 +812 678 4 877625294 +642 136 3 885602232 +885 196 3 885714201 +537 639 2 886031438 +889 512 5 880181372 +398 705 5 875658898 +707 4 3 886286170 +621 1035 4 880739654 +313 511 4 891013742 +429 25 4 882385985 +178 283 5 882823784 +727 440 1 883713548 +860 285 5 885990901 +577 196 5 880474357 +583 425 5 879384575 +527 168 5 879456405 +389 521 3 879991330 +663 276 3 889492435 +504 629 4 887841136 +772 259 2 877533957 +833 649 3 875224178 +711 180 4 876279059 +10 589 5 877891905 +497 22 5 879310730 +712 1221 4 874956641 +267 1145 3 878974608 +863 877 1 889289277 +806 1016 1 882386110 +435 2 4 884132619 +924 1 5 884371535 +693 591 3 875482779 +531 892 3 887049187 +767 505 4 891462560 +931 515 5 891036506 +507 252 5 889966054 +881 276 5 876536079 +802 261 3 875985032 +919 1109 3 875373824 +689 405 5 876676292 +661 170 4 888300680 +499 429 4 885599372 +318 692 4 884495561 +777 527 4 875980306 +364 268 3 875931309 +666 116 4 880313270 +854 8 5 882814571 +472 426 4 875980010 +711 238 4 879993126 +699 458 4 879148051 +429 1076 2 882387350 +747 85 3 888733144 +671 181 5 875388719 +629 245 3 880116240 +864 93 3 888889948 +288 211 5 886374473 +758 118 2 881978326 +268 37 3 876514002 +804 163 3 879445579 +405 140 3 885548932 +889 55 4 880181191 +859 293 4 885776056 +378 292 3 882136243 +299 785 2 889502865 +894 753 5 882404278 +347 180 5 881654101 +474 357 5 887924618 +707 921 4 886286361 +655 1161 3 887426446 +899 527 4 884121767 +632 679 4 879459321 +682 866 2 888522101 +862 79 5 879304623 +571 191 4 883354761 +343 202 4 876406256 +921 651 3 884673891 +550 313 5 883425610 +933 934 1 874938412 +360 651 4 880355845 +230 233 1 880485513 +775 690 3 891033022 +851 264 2 890343477 +519 1238 5 883248595 +919 326 3 875288304 +942 31 5 891283517 +385 504 4 879442360 +456 580 4 881374767 +10 238 4 877892276 +695 268 5 888805864 +711 66 4 879994801 +396 472 5 884646647 +682 184 4 888519307 +943 549 1 888639772 +880 625 4 880242933 +660 231 2 891357371 +429 469 4 882386751 +716 218 3 879796766 +500 443 4 883873679 +878 197 4 880866971 +85 204 4 879828821 +355 682 4 879485523 +527 234 5 879455706 +200 176 5 884129627 +717 333 4 884641681 +762 955 5 878719551 +554 1046 4 876550526 +934 1037 1 891197344 +864 471 5 888888862 +815 434 3 878696619 +927 1089 5 879177457 +788 68 3 880869819 +847 211 4 878940383 +548 233 5 891044596 +186 55 4 879023556 +921 422 3 879380957 +900 124 4 877832837 +771 181 4 880659653 +796 12 5 892662483 +77 121 2 884733261 +894 107 3 880993709 +777 202 5 875980669 +109 144 4 880572560 +588 755 3 890025797 +747 1631 3 888638957 +826 554 4 885690749 +368 448 3 889783365 +655 942 4 888685850 +684 66 4 878762033 +850 71 5 883195118 +889 248 4 880176984 +618 470 3 891308615 +606 204 4 880924384 +215 208 4 891436202 +766 234 4 891309558 +552 237 4 879221617 +711 566 2 879995259 +551 1304 1 892783942 +279 805 3 879573022 +314 173 1 877889359 +922 568 3 891450524 +940 549 2 885921915 +643 474 5 891446955 +456 747 4 881374331 +440 57 5 891577949 +6 464 2 883601365 +127 50 4 884364866 +587 333 4 892871031 +624 293 4 879792623 +705 625 5 883427691 +854 744 2 882812787 +716 662 3 879794962 +372 326 4 876869330 +537 328 2 886029083 +710 185 4 882064321 +690 1118 1 881177459 +606 257 5 880922503 +561 762 3 885809654 +667 357 5 891034767 +599 1278 5 880952185 +659 234 4 891384798 +655 6 4 887425812 +805 209 4 881684202 +690 240 1 881179469 +905 475 3 884984329 +751 144 4 889133219 +629 196 4 880117062 +389 182 5 879991175 +360 257 4 880354515 +912 602 5 875965981 +897 385 3 879990622 +940 474 3 885921687 +766 747 5 891310210 +666 405 2 880313662 +468 584 4 875288771 +500 31 4 883875092 +622 721 4 882670610 +924 277 3 889286765 +663 318 4 889493576 +843 1480 2 879449377 +601 318 4 876348572 +524 230 3 884636907 +764 673 4 876246504 +774 412 3 888558924 +198 71 3 884208419 +625 204 3 891999874 +900 480 4 877833603 +620 323 5 889986580 +924 228 4 886327826 +673 345 4 888787396 +757 515 5 888444007 +794 127 5 891035117 +370 650 5 879435369 +901 1620 5 877126743 +259 294 3 881641699 +119 458 5 874774575 +708 1152 5 892719143 +655 912 3 891817522 +905 313 4 884982870 +665 154 3 884294025 +881 506 4 876539020 +419 212 1 879435749 +896 275 4 887158713 +894 751 3 885427971 +682 559 4 888522837 +537 286 3 886028498 +521 290 3 884477262 +643 179 4 891447901 +903 281 4 891031677 +49 301 3 888065640 +707 305 5 879439188 +240 340 4 885775710 +746 62 3 885075434 +331 467 3 877196702 +7 427 5 891352220 +634 515 4 877018346 +13 424 1 882397068 +429 506 4 882386711 +641 64 4 879370337 +749 1139 3 878850084 +891 717 4 883489728 +698 131 4 886366955 +886 803 2 876033015 +881 523 4 876537825 +286 189 3 877533296 +709 546 4 879848475 +637 685 3 882904829 +537 72 1 886031966 +453 750 4 888201942 +838 168 5 887066678 +777 204 5 875980670 +537 140 2 886032001 +899 410 1 884122535 +918 170 4 891987205 +666 1013 3 880314029 +730 873 2 880310035 +712 94 4 874957005 +899 188 2 884121720 +429 111 2 882386532 +308 550 4 887738847 +568 199 3 877906935 +429 167 3 882386629 +655 31 3 887523200 +911 203 4 892841196 +654 689 3 887863194 +831 748 2 891354297 +661 258 4 876012997 +73 197 5 888625934 +875 481 5 876465370 +447 200 3 878855963 +506 836 4 874875062 +689 475 4 876676334 +902 176 5 879465834 +458 302 5 886394314 +605 215 3 879426163 +559 70 3 891035917 +450 345 2 884906309 +640 55 5 874777765 +402 95 5 876267235 +336 294 4 877759103 +856 688 2 891489666 +934 629 4 891191334 +933 52 3 874854161 +716 136 5 879795790 +43 102 4 875981483 +896 302 2 887157234 +923 3 4 880387707 +438 281 4 879868494 +354 185 3 891218068 +46 93 4 883616218 +881 121 5 876536391 +630 123 4 885668203 +922 94 3 891449333 +437 203 1 880140978 +792 544 4 877910822 +79 10 5 891271901 +875 172 4 876465072 +788 503 4 880869984 +903 649 4 891033628 +903 412 2 891032077 +847 161 2 878940830 +443 748 4 883505171 +909 1121 5 891920703 +374 55 2 880394929 +923 117 4 880387598 +684 217 2 875811965 +461 575 2 885355930 +833 68 4 875224515 +588 1091 4 890027865 +526 100 5 885682448 +655 1113 3 887427810 +543 212 4 875659175 +13 184 1 882397011 +699 9 2 878882133 +880 87 4 880241913 +796 483 5 892663044 +864 658 2 888890690 +798 491 4 875743196 +487 385 4 883530454 +887 1033 4 881379295 +387 521 3 886483906 +909 509 5 891920211 +151 418 3 879525002 +732 322 3 882590201 +919 471 3 875289638 +385 234 1 879445493 +263 196 4 891298164 +84 70 5 883452906 +271 97 5 885848736 +758 479 5 881975539 +833 96 5 875132134 +601 173 5 876348736 +709 672 2 879848239 +795 768 3 883252985 +655 1356 3 887426059 +606 202 4 880924921 +860 286 4 874967063 +901 578 3 877131961 +870 385 3 879714159 +524 515 4 884637409 +660 657 2 891199579 +303 236 4 879468274 +934 88 4 891194866 +141 1280 1 887424890 +716 660 4 879796718 +627 289 2 879530899 +940 4 2 885922040 +643 629 3 891450168 +714 1028 4 892777877 +913 656 3 881726004 +666 127 5 880139180 +265 284 4 875320689 +327 305 5 887820828 +194 125 2 879548026 +94 238 5 891721168 +682 941 4 888518035 +677 151 4 889399431 +588 239 5 890025704 +249 195 4 879572911 +716 174 5 879795025 +889 178 5 880178078 +894 45 4 882404250 +538 172 4 877107765 +845 346 3 885409493 +880 1478 3 880242547 +804 64 5 879442001 +62 217 2 879376387 +729 313 3 893286638 +291 64 5 874867994 +642 51 5 886132172 +919 741 3 875288805 +532 918 4 893013954 +394 940 3 881059103 +796 724 2 893047241 +719 456 1 879373729 +684 265 4 878759435 +697 127 5 882622481 +807 624 3 892530705 +682 405 2 888522456 +790 926 2 884462598 +897 71 5 879991566 +717 685 4 884642581 +59 515 4 888204430 +72 518 4 880036824 +276 179 5 874791102 +450 741 3 882376282 +221 246 5 875244457 +286 455 1 889652378 +807 63 5 892531504 +600 182 4 888451750 +916 298 3 880843334 +389 135 2 879990996 +121 257 5 891390014 +645 191 5 892053644 +622 248 4 882590420 +716 428 3 879795838 +634 15 4 875729436 +913 183 4 880757553 +503 496 5 880472474 +889 652 5 880180784 +761 275 4 876190130 +863 306 5 889289570 +940 317 4 885921577 +751 399 3 889298912 +798 377 3 875639061 +255 840 1 883216958 +64 463 4 889739212 +938 595 2 891357042 +373 528 3 877104115 +558 744 4 879436027 +871 258 5 888192970 +474 222 4 887915479 +694 657 4 875728952 +593 949 2 875672949 +879 127 5 887761249 +483 50 5 878953485 +576 294 3 886960098 +940 751 3 884801227 +674 751 3 887762398 +645 172 4 892054537 +663 696 3 889492877 +634 933 3 877017951 +668 367 5 881605587 +800 751 4 887646980 +839 50 5 875751930 +544 294 2 884795581 +186 294 3 879024099 +881 175 2 876537418 +650 493 4 891369554 +454 471 3 881960445 +698 25 2 886367917 +662 13 4 880570265 +670 484 5 877975391 +272 174 5 879455043 +37 578 3 880916010 +552 100 4 879221716 +324 286 5 880574766 +183 449 2 891463592 +695 903 4 888806082 +711 381 5 879994749 +911 102 3 892840889 +216 496 5 880233635 +747 269 4 888638183 +934 208 5 891191258 +127 690 1 884363851 +506 710 5 874874151 +517 237 1 892659923 +721 84 3 877147675 +291 1489 2 875086766 +268 61 4 875309282 +738 260 2 875348571 +682 183 3 888520638 +887 699 1 881379566 +883 342 4 891692116 +669 269 3 891517159 +866 302 2 891220955 +735 277 3 876698604 +664 1098 3 876526152 +655 657 3 891585504 +494 845 4 879541429 +207 208 4 878191679 +210 1 5 887731052 +868 56 3 877107143 +453 273 4 877552678 +592 410 5 882608402 +919 144 4 875373889 +13 174 4 882139829 +927 560 2 879191978 +933 179 5 874854135 +530 443 4 883790943 +697 1089 3 882621958 +727 66 3 883712068 +632 64 5 879457525 +299 642 4 877881276 +807 96 3 892528564 +863 1243 4 889289277 +303 783 2 879543756 +663 173 3 889493818 +712 230 3 874730467 +842 754 1 891218251 +889 185 4 880180266 +897 435 3 879991069 +397 58 5 885349202 +807 968 4 892530498 +887 1051 4 881378773 +203 237 3 880434411 +655 1380 4 887425625 +835 272 4 891035309 +883 45 5 891695570 +671 210 5 884035892 +148 969 4 877398513 +709 79 3 879846440 +629 234 4 880117215 +652 286 3 882567012 +823 660 5 878438435 +893 1215 3 874829287 +110 1055 2 886988134 +542 952 4 886533193 +276 407 2 874792310 +343 13 5 876402894 +816 349 4 891711554 +912 318 4 875966385 +846 505 5 883948343 +871 435 3 888193336 +608 286 4 880402272 +240 307 4 885775683 +717 250 1 884715146 +297 248 3 874954814 +823 218 4 878438232 +560 249 5 879976247 +588 107 5 890030781 +499 915 4 892501128 +246 155 1 884923687 +727 393 3 883712397 +453 797 1 888206339 +503 823 2 879438817 +591 1041 2 891031644 +796 775 2 893047691 +607 435 3 883879473 +637 1028 3 882905182 +413 307 2 879968794 +587 315 4 892870956 +726 117 1 890080144 +912 197 5 875966429 +846 1035 4 883949771 +774 550 2 888557277 +569 7 4 879793909 +899 385 3 884121612 +234 686 3 892334976 +445 274 2 891200164 +215 172 4 891435394 +761 358 3 876189689 +896 1217 2 887160446 +943 181 4 875409978 +653 248 3 884405730 +764 95 5 876246475 +189 157 4 893265865 +764 591 3 876243572 +697 284 5 882622581 +788 427 2 880868316 +758 968 5 881976746 +125 168 5 879454793 +934 709 3 891196314 +90 192 4 891384959 +690 294 3 881177237 +656 896 5 892318842 +451 261 2 879012647 +892 501 3 886611023 +923 281 4 880387875 +822 1110 4 891036395 +833 56 4 875122716 +642 318 2 885602369 +287 222 5 875334224 +557 875 4 881179291 +503 269 5 879438024 +671 679 3 884036050 +916 427 4 880844654 +500 483 4 883874039 +807 174 5 892528866 +213 831 4 878871062 +247 340 3 893081396 +938 105 1 891357137 +931 1022 1 891036003 +750 304 4 879446013 +479 273 4 879459909 +18 100 5 880130065 +889 1195 3 880182317 +156 655 3 888185677 +622 8 4 882592421 +314 1053 5 877891490 +809 258 3 891036903 +883 399 5 891696999 +235 66 2 889655266 +796 301 1 892611903 +682 210 4 888522326 +639 661 4 891239155 +771 768 4 880659867 +671 176 2 883546120 +750 876 2 879446014 +330 376 4 876547378 +280 112 3 891702485 +808 286 4 883949560 +167 1200 4 892738384 +846 427 4 883948948 +495 185 5 888633042 +435 76 3 884131328 +889 154 4 880180612 +892 100 5 886607642 +374 443 5 880937735 +622 665 2 882671769 +576 255 3 887081086 +864 1016 4 877214125 +815 616 1 878697189 +772 323 4 876250551 +901 234 4 877287882 +406 88 2 880131608 +712 38 4 874730553 +451 878 1 879012811 +708 127 3 877325213 +894 307 3 880415834 +337 25 3 875184963 +943 412 2 875501856 +189 8 5 893265710 +559 661 3 891034040 +918 737 3 891988123 +916 2 3 880845391 +545 431 3 879899472 +405 59 1 885549507 +537 174 3 886030622 +114 153 3 881309622 +878 70 3 880868035 +804 180 4 879442348 +501 979 3 883348308 +749 584 3 878848483 +738 408 5 875349584 +366 637 5 888858078 +639 382 2 891239913 +666 1154 3 880567658 +450 118 3 882395166 +371 127 4 877487052 +591 216 4 891031426 +542 393 3 886533142 +437 94 4 881001436 +645 960 4 892054278 +855 86 2 879825462 +842 751 4 891218192 +558 275 4 879435896 +874 191 4 888633311 +916 317 4 880845098 +694 630 3 875728912 +865 111 1 880144123 +119 124 4 874781994 +796 178 3 892662223 +932 234 3 891250060 +663 56 5 889493502 +297 181 4 875410178 +748 328 4 879454208 +746 281 3 885075434 +660 266 2 891197639 +92 118 2 875640512 +393 249 3 887744373 +2 304 4 888979197 +887 763 5 881378087 +655 1107 4 888813272 +85 921 3 879827989 +759 222 5 881476922 +505 584 4 889334067 +7 31 4 892134959 +26 293 3 891371369 +532 352 3 886585109 +450 386 4 882397049 +472 1139 5 875983231 +698 143 3 886367530 +625 283 3 891629673 +641 30 4 879370365 +708 278 4 877325956 +939 121 5 880261373 +807 416 3 892528771 +707 648 4 886285824 +150 123 4 878746852 +922 173 5 891448040 +896 86 1 887159926 +481 580 4 885829153 +910 289 3 881420491 +281 323 3 881200789 +658 471 4 875145879 +915 328 2 891031450 +886 663 4 876032823 +724 683 1 883757834 +815 69 4 878694106 +854 597 2 882813143 +724 333 4 883757670 +303 97 5 879468459 +554 15 4 876231964 +805 1054 3 881705637 +849 633 5 879695420 +532 87 5 892866230 +324 310 4 880574827 +670 175 2 877975448 +835 97 5 891033501 +738 200 3 875350086 +634 285 4 875728872 +711 1168 4 879995753 +185 703 4 883524172 +880 124 5 880166847 +722 100 4 891280894 +577 174 5 880475043 +894 327 4 881625708 +374 278 2 880393754 +119 64 4 874781460 +885 383 2 885713939 +682 111 3 888521740 +924 121 4 886760071 +184 1101 4 889909515 +710 419 4 882063766 +864 38 3 888891628 +716 222 4 879793192 +796 451 5 893047167 +878 116 2 880869638 +637 13 1 882904458 +773 1071 2 888539662 +823 198 4 878439065 +581 222 3 879641698 +342 149 5 874984788 +840 132 4 891204356 +409 289 1 881105077 +498 134 3 881956498 +200 812 4 884130621 +796 516 4 893048115 +699 15 1 878882511 +788 591 3 880869469 +898 242 4 888294441 +686 11 4 879546083 +240 748 3 885775831 +848 25 5 887046890 +927 780 1 879195783 +417 49 3 880951737 +1 149 2 878542791 +291 195 4 874835165 +814 218 3 885411030 +883 134 5 891754950 +825 181 4 880756224 +587 258 4 892871069 +70 91 3 884068138 +72 58 4 880036638 +181 871 2 878963168 +632 196 3 879457064 +625 294 3 891536483 +76 182 4 882606392 +618 568 4 891309409 +936 181 4 886832596 +268 475 4 875306644 +417 180 5 879647604 +942 969 4 891282817 +805 288 1 881695244 +43 845 5 883955547 +932 380 4 891250498 +718 831 3 883349663 +364 687 1 875931561 +249 408 5 879572540 +751 367 4 889133950 +885 189 5 885714820 +749 141 4 878848217 +447 79 3 878856110 +314 419 4 877889039 +896 732 4 887159674 +773 265 2 888540146 +628 258 5 880777167 +675 286 4 889488431 +727 268 4 883708087 +452 945 4 888323595 +660 174 4 891199293 +222 734 2 881060735 +831 83 4 891354848 +936 333 3 886831415 +805 94 1 881705412 +894 748 3 879896233 +770 15 5 875971902 +733 286 4 879535471 +790 50 4 884461387 +248 806 3 884534772 +828 510 3 891037231 +655 1646 3 891913577 +690 238 5 881177302 +460 321 3 882910510 +632 1183 2 879458142 +514 306 4 876672606 +773 121 2 888540163 +735 676 3 876698837 +15 283 4 879455505 +707 347 5 886285277 +646 908 3 888529054 +268 51 3 875745202 +943 184 5 888639247 +798 781 2 875639061 +872 763 3 888479405 +13 619 3 886952245 +693 97 5 875482604 +417 713 2 879646052 +634 1049 2 877018004 +94 746 4 891721716 +498 234 4 881957625 +747 663 5 888733111 +661 64 4 876014060 +487 67 3 884050247 +666 640 4 880314477 +36 261 5 882157581 +896 721 4 887160465 +813 898 1 883752264 +681 990 4 885409770 +407 491 4 875550328 +800 292 5 887646979 +741 692 1 891019587 +892 291 4 886607744 +312 50 5 891698300 +203 879 4 880433474 +801 354 4 890332645 +416 311 3 886314877 +292 282 4 881104661 +655 874 4 888984255 +514 12 5 875318263 +786 71 5 882843786 +851 619 4 875730629 +62 207 3 879375676 +665 418 4 884294611 +60 654 4 883326399 +896 230 4 887161728 +854 511 4 882814298 +347 249 5 881652683 +867 183 3 880078863 +719 64 5 879360442 +764 117 5 876244991 +342 88 1 875320644 +246 651 4 884921638 +870 195 4 875050602 +896 226 3 887160270 +162 122 2 877636300 +666 499 4 880139562 +933 451 1 874938507 +253 699 4 891628630 +942 131 5 891283094 +892 172 5 886607743 +592 15 5 882608457 +472 252 4 875978191 +649 181 4 891440309 +790 298 5 884461849 +18 418 3 880130515 +472 678 4 883904118 +834 294 3 890860159 +239 12 5 889178729 +807 526 5 892530061 +401 678 3 891031936 +666 310 5 880313163 +715 158 2 875965035 +934 121 3 891189819 +883 506 5 891754950 +934 771 3 891196950 +724 328 4 883757727 +743 276 5 881277855 +552 323 2 879221267 +684 756 4 875811455 +660 1 3 891406276 +927 230 5 879199250 +624 845 3 879793129 +916 22 4 880844627 +35 266 3 875458941 +327 168 4 887820828 +870 28 4 875680258 +554 179 3 876369785 +537 428 4 886031506 +620 1503 4 889988196 +663 9 2 889492435 +457 956 4 882548214 +888 286 5 879364981 +356 258 5 891406040 +862 228 5 879305097 +275 229 3 876198296 +478 946 2 889396917 +825 245 5 882109193 +684 8 5 878761120 +880 678 3 880166662 +817 327 4 874815593 +692 208 4 876953340 +121 50 5 891390014 +671 686 3 884036365 +648 62 5 884882916 +785 183 5 879439232 +721 582 3 877140490 +888 762 5 879365497 +401 490 3 891033250 +8 336 3 879361664 +934 210 4 891191206 +463 866 3 877385862 +727 227 4 883710974 +664 321 3 876526179 +323 847 3 878739225 +770 326 4 876598016 +693 521 5 875482092 +201 566 3 884112352 +883 372 3 891694544 +774 204 3 888556316 +564 298 3 888730534 +833 249 1 875133458 +707 618 3 886288282 +330 989 5 876543930 +739 318 4 886958831 +847 153 4 878941496 +586 183 4 884059196 +655 1084 3 888813272 +698 1 4 886366815 +435 39 3 884131822 +501 100 4 883347799 +657 111 5 884239368 +578 298 4 888957584 +743 302 5 881277267 +711 265 2 879994536 +877 176 5 882678484 +648 7 3 882211109 +770 328 3 875971736 +642 173 5 885602314 +798 1066 2 876175427 +537 39 2 886031407 +823 83 3 878438024 +906 307 3 879434378 +788 554 3 880870257 +730 100 5 880310371 +130 928 4 876251287 +193 182 4 890860290 +670 969 2 877975070 +919 193 2 875373471 +932 498 5 891250363 +387 239 1 886483970 +741 239 2 891456040 +416 179 2 876699578 +94 357 5 891720921 +666 213 4 880139120 +825 250 5 880755693 +435 420 4 884132561 +796 554 2 893048713 +322 507 4 887314119 +932 515 4 891249373 +880 815 4 893028814 +707 527 5 880061699 +872 925 4 888479654 +478 283 4 889388137 +913 273 3 881037670 +499 173 5 885599307 +666 98 4 880139381 +13 774 1 882396913 +486 515 5 879874417 +636 10 5 891449123 +757 665 3 888466652 +580 866 4 884125856 +916 4 4 880844395 +889 435 4 880179536 +757 257 4 888444400 +848 65 2 887038527 +731 283 4 886182367 +669 323 1 891182792 +388 672 4 886441083 +269 202 2 891450405 +90 209 5 891383173 +927 67 4 879190473 +934 675 4 891192285 +848 133 4 887047308 +924 742 3 886065661 +460 137 5 882912418 +677 243 3 889399113 +896 542 3 887160677 +592 58 5 882956388 +683 271 3 893284183 +472 67 4 892790628 +943 655 4 888639269 +820 313 5 887954934 +882 1060 3 879862652 +784 333 4 891387501 +66 535 4 883602044 +539 306 4 879787770 +394 202 5 880888245 +943 96 4 888638920 +807 133 5 892705060 +21 619 2 874951416 +436 840 3 887771997 +143 288 5 888407586 +782 691 3 891498079 +645 258 3 892051708 +709 402 3 879849185 +924 173 5 885458060 +898 286 2 888294408 +648 1033 2 882212288 +682 86 2 888518206 +44 625 3 878348691 +938 1012 5 891356500 +821 161 4 874793898 +864 181 5 888887984 +921 1034 3 879380457 +935 121 4 884472434 +346 88 4 874949380 +833 1118 3 875133924 +645 208 5 892054797 +176 458 4 886048305 +391 187 4 877399030 +598 690 3 886710735 +739 465 1 886959039 +727 546 2 883709607 +409 705 2 881109175 +179 538 4 892151231 +733 742 3 879535502 +57 988 4 883696785 +708 258 5 892719007 +269 1103 5 891447773 +654 269 4 889451420 +886 1435 3 876034174 +661 304 2 886829961 +474 1286 2 887927670 +23 154 3 874785552 +682 820 3 888523323 +892 403 3 886610372 +389 603 5 880086943 +942 500 5 891282816 +910 508 4 880821349 +524 311 4 884287428 +655 514 5 887650683 +682 738 3 888522021 +868 214 3 877106470 +650 620 2 891383977 +932 1451 5 891249675 +500 16 4 883865462 +843 1118 2 879448112 +537 517 4 886031341 +943 373 3 888640275 +605 619 4 880762205 +880 421 2 880243204 +560 151 3 879976542 +653 1183 1 880153329 +887 318 5 881379649 +880 689 4 880166577 +921 755 4 884673910 +877 70 5 882677012 +911 835 3 892838405 +153 568 4 881371140 +932 161 3 891251507 +872 977 3 888479737 +653 161 4 878854247 +707 381 3 886286457 +885 237 5 885715151 +888 137 4 879365104 +422 302 3 877162650 +138 14 3 879022730 +770 1012 5 875972730 +463 1009 3 877386047 +727 665 3 883713257 +763 222 5 878918406 +848 501 3 887048073 +878 481 5 880870854 +942 479 4 891283118 +497 231 3 879310883 +650 1215 3 891381850 +730 237 3 880310233 +398 96 4 875716709 +542 181 4 886532359 +717 299 4 884641743 +363 1067 3 891496849 +581 475 4 879641850 +884 475 4 876858914 +417 743 2 880953053 +611 680 4 891636125 +532 22 5 892867296 +910 414 4 881421332 +674 313 5 887762296 +899 934 3 884120603 +630 535 4 885667624 +796 281 4 893194929 +776 866 3 892313273 +892 88 4 886609884 +659 70 4 891383412 +713 882 3 888881988 +883 55 4 891696864 +703 322 3 875242336 +707 317 3 886286433 +659 315 3 891044991 +676 750 4 892685252 +268 176 5 875309998 +57 323 3 883696709 +690 208 5 881177302 +845 909 4 885409789 +913 210 2 880826706 +251 79 5 886271733 +916 135 4 880844552 +457 676 3 882395400 +880 21 2 880174961 +916 50 5 880843436 +728 116 4 879443291 +812 245 2 877625367 +911 240 1 892840297 +643 159 3 891449345 +286 250 4 876521887 +405 26 3 885545552 +679 322 3 884312763 +650 391 2 891382877 +405 1041 5 885547447 +659 708 3 891386641 +774 447 1 888557715 +332 678 4 887916284 +531 898 5 887049081 +455 550 4 879112700 +830 265 5 891561607 +934 179 2 891191600 +754 237 3 879451805 +524 82 4 884636583 +843 69 3 879446476 +274 1051 4 878945763 +25 121 4 885853030 +452 179 5 875265368 +919 246 3 875288523 +522 480 5 876961076 +613 435 5 891227299 +882 416 4 879879868 +734 487 4 891025498 +474 479 5 887923972 +712 1503 4 874730235 +823 173 5 878438148 +715 28 5 875963242 +393 125 4 887744239 +317 260 4 891446887 +597 151 4 875342314 +919 717 3 875288805 +697 975 1 882622044 +13 49 4 882399419 +883 1115 4 891692765 +526 273 2 885682562 +889 226 2 880182016 +883 65 4 891717319 +553 506 4 879948655 +486 408 3 879874481 +85 1113 2 879454981 +608 735 4 880406799 +894 311 4 880993317 +210 174 5 887736045 +606 475 4 878143785 +318 275 4 884470718 +815 614 3 878695964 +707 638 4 886286361 +497 1046 3 879362041 +894 1379 4 879896673 +744 9 3 881170416 +918 64 4 891987025 +790 51 3 885156193 +860 311 4 882120528 +872 350 3 888478840 +693 191 2 875482136 +769 235 3 885424186 +233 70 5 879147810 +749 740 3 878847716 +660 742 2 891198312 +611 288 3 891636073 +234 641 4 892078297 +751 382 3 889298463 +932 489 4 891249710 +684 483 5 878576905 +59 1074 4 888206409 +877 582 2 882677280 +804 123 4 879443645 +551 209 5 892777123 +313 232 3 891014957 +883 89 5 891696864 +942 172 5 891282963 +886 1231 3 876033828 +938 300 3 891350008 +287 64 5 875336775 +712 417 4 874729750 +207 597 3 876018471 +669 482 4 892550170 +795 588 5 880587862 +389 1121 4 879991485 +805 806 4 881698175 +406 513 5 879445378 +151 427 5 879524108 +795 257 3 881252002 +747 1134 5 888732609 +201 1398 4 884140079 +342 1012 4 874984639 +660 238 3 891200340 +853 332 3 879364822 +883 770 4 891696957 +215 54 4 891436607 +553 528 3 879949180 +101 866 4 877137015 +551 1253 2 892784629 +303 993 2 879544576 +303 514 5 879466667 +811 307 4 886377248 +932 1050 4 891251015 +684 411 3 875811455 +650 133 4 891381546 +713 750 3 888881939 +314 949 4 877890428 +737 474 5 884314740 +704 173 4 891397058 +692 411 4 876954021 +862 597 3 879303697 +159 591 4 880557060 +758 91 4 881977375 +731 482 3 886184770 +933 209 2 874854678 +588 380 3 890028987 +806 521 3 882387595 +561 470 3 885809872 +332 769 3 888360532 +567 657 5 882425762 +889 71 3 880180849 +269 717 1 891456493 +931 312 4 891036105 +894 471 4 880416314 +846 69 5 883947500 +622 1060 3 882671160 +718 685 4 883349301 +805 195 3 881694693 +474 423 5 887924425 +458 845 3 886394527 +472 421 5 875982200 +97 173 3 884238728 +42 111 1 881105931 +489 299 2 891447522 +408 272 4 889679683 +858 690 3 879459087 +436 925 4 887770507 +838 128 4 887066724 +889 150 5 880176984 +435 472 2 884133466 +894 275 4 882404137 +494 181 4 879541298 +703 123 4 875242787 +435 501 3 884132266 +334 761 2 891549718 +326 520 5 879875151 +805 568 3 881694854 +26 751 4 891347477 +896 497 3 887158332 +532 549 5 888637085 +379 94 5 883156810 +314 756 3 877886641 +926 300 3 888351623 +889 734 3 880182815 +577 768 3 880474787 +557 246 5 880485693 +737 11 3 884314903 +481 663 4 885828297 +823 69 5 878438095 +504 364 2 887912382 +44 328 4 878340848 +716 432 5 879795269 +601 325 4 876346551 +496 559 5 876068153 +14 654 4 890881294 +870 79 4 879270313 +200 470 4 884129782 +721 991 3 877137214 +659 479 5 891383412 +176 340 5 886046979 +553 81 3 879948732 +893 411 3 874829056 +731 66 4 886184577 +573 179 4 885844091 +738 659 4 875350804 +402 228 3 876267173 +664 53 3 876526580 +716 208 5 879795790 +877 203 4 882678427 +821 56 5 874793847 +833 177 5 875123299 +883 86 3 891693086 +288 199 4 886629592 +909 682 3 891920763 +721 678 3 877137527 +882 684 3 879877026 +721 423 5 877141373 +902 294 2 879463212 +891 25 5 891638734 +835 294 3 891032356 +670 603 5 877974465 +453 120 1 877553678 +878 517 4 880866687 +918 638 4 891987267 +8 510 4 879362233 +224 991 1 888082277 +379 181 4 880525368 +567 527 3 882426673 +876 276 4 879428354 +932 428 4 891251105 +653 581 1 880152819 +301 69 5 882076682 +798 1469 3 876175427 +573 286 3 885843476 +711 736 5 879993871 +409 538 3 881104756 +496 721 5 876067215 +56 225 2 892910292 +679 50 5 884486758 +862 173 5 879304484 +191 315 5 891560253 +909 165 5 891920233 +314 1217 2 877891638 +690 202 2 881177349 +698 499 3 886366515 +648 205 3 884628607 +868 233 2 877109566 +116 56 5 886310197 +889 327 3 880176620 +425 92 5 878738335 +719 285 4 877917156 +731 207 4 886182827 +524 708 4 884636645 +286 274 2 876521917 +553 498 4 879949042 +913 302 4 880794297 +429 596 3 882385808 +90 1192 5 891384673 +291 223 5 874867912 +479 137 4 889125448 +897 205 3 879990556 +341 299 5 890757745 +676 687 1 892685803 +405 209 3 885547124 +345 38 2 884993830 +637 246 2 882903447 +295 461 5 879966498 +130 419 5 876251515 +270 234 5 876955976 +655 411 3 887650512 +514 24 3 875463164 +726 323 3 889828641 +487 720 4 884036466 +721 660 5 877147616 +763 1101 3 878918486 +432 827 3 889416570 +925 299 3 884717478 +425 1416 3 878738695 +748 234 4 879454475 +914 692 3 887122324 +416 302 5 893214127 +712 588 4 874956515 +918 213 5 891988054 +291 27 3 874835024 +285 183 4 890595859 +751 558 3 889298216 +387 175 5 886479771 +650 506 3 891385508 +665 98 4 884293569 +425 294 2 878737512 +222 17 2 878183079 +1 43 4 878542869 +716 185 5 879796046 +828 275 3 891035614 +405 856 1 885546287 +178 993 5 882824592 +822 25 3 891039543 +592 1022 5 885280183 +535 86 4 879618385 +668 50 5 881605642 +666 194 3 880139348 +943 127 5 875501774 +865 294 4 880235263 +926 288 3 888636202 +121 12 5 891390014 +707 882 4 879439382 +896 411 2 887160842 +799 174 5 879254026 +851 125 4 875730826 +503 223 5 880472362 +625 751 4 891536426 +880 435 4 880167778 +880 1013 3 880167355 +697 815 3 882622430 +334 187 4 891547107 +843 185 3 879443341 +870 186 4 875680186 +567 178 4 882425820 +41 194 3 890687242 +666 7 4 880313329 +231 866 3 879965961 +643 197 4 891446983 +586 288 4 884057861 +862 462 4 879304624 +918 606 4 891987132 +155 306 5 879371121 +660 746 4 891199478 +213 627 4 878955680 +291 785 4 875086308 +696 1126 3 886404617 +708 546 3 877325601 +866 887 3 891221165 +298 9 4 884126202 +474 487 4 887923972 +286 123 5 876521586 +902 480 5 879465711 +653 167 2 880153429 +263 434 4 891299514 +788 1112 3 880870428 +854 49 4 882814665 +773 154 5 888539471 +891 1028 3 883489521 +889 271 3 880176573 +229 316 1 891632347 +715 222 3 875962227 +710 135 5 882064041 +325 176 3 891478455 +802 299 4 875986155 +379 1075 3 888044628 +918 16 4 891988560 +269 65 4 891448072 +497 394 3 878759862 +933 80 2 874938689 +405 241 1 885547909 +627 665 3 879531459 +698 257 3 886366141 +878 99 4 880870130 +452 481 5 885544110 +634 109 4 877017810 +718 750 3 883449953 +927 125 4 879177298 +433 457 1 880585554 +793 129 4 875104067 +804 1210 2 879447476 +880 100 5 880166966 +720 262 4 891262608 +43 4 4 875981421 +922 50 5 891447447 +937 224 4 876769480 +569 325 1 879793149 +703 300 4 875242077 +496 651 2 876065610 +805 719 4 881705389 +776 479 4 891813013 +303 997 2 879544219 +716 399 3 879797414 +188 455 4 875075432 +892 588 5 886607879 +308 546 3 887740500 +724 893 3 883757874 +751 111 3 889132657 +459 455 2 879563392 +722 628 4 891280894 +864 191 4 888887869 +533 215 4 879438941 +484 22 5 891194841 +810 269 5 891293811 +557 176 4 880486028 +720 310 4 891262762 +524 796 3 884636958 +740 302 5 879523187 +736 127 4 878709365 +719 88 3 888454637 +641 134 5 879370062 +691 500 3 875543068 +210 302 5 890059415 +927 739 3 879191360 +687 313 5 884651420 +938 873 3 891356085 +601 168 5 876350944 +870 949 3 881001249 +77 156 4 884733621 +885 451 2 885713716 +378 531 4 880045520 +829 124 4 892312784 +749 357 4 878847862 +655 863 3 887473995 +303 83 5 879467607 +81 116 3 876533504 +92 707 4 875653162 +421 98 5 892241458 +426 143 3 879444852 +523 732 4 883702125 +902 181 3 879464783 +325 616 4 891477924 +698 404 1 886368545 +491 23 2 891189306 +62 167 2 879376727 +587 289 3 892871113 +268 713 4 875742365 +758 488 3 881976262 +301 117 5 882074584 +474 609 4 887927509 +249 223 4 879572370 +154 187 5 879139096 +708 111 4 877325570 +709 209 3 879846332 +363 12 5 891495070 +620 243 3 889986676 +815 252 2 884267891 +897 133 4 879991037 +90 656 5 891385132 +941 181 5 875048887 +716 1016 3 879794032 +806 168 4 882387595 +54 823 2 880938088 +826 1222 3 885690819 +486 685 3 879875188 +889 546 4 880177435 +747 845 2 888640046 +655 742 3 888813272 +932 175 4 891250449 +497 29 4 879362569 +271 9 4 885847738 +894 1381 3 880993766 +705 62 5 883428178 +214 253 5 892668173 +843 53 2 879443442 +847 99 2 878940013 +699 288 3 878881675 +885 278 3 885715468 +764 1 4 876244181 +239 633 5 889180040 +889 95 4 880178342 +416 742 4 876697524 +169 199 4 891359353 +749 99 5 878847804 +716 216 5 879795239 +268 273 3 875742470 +128 186 5 879966895 +831 1012 4 891354970 +648 121 5 882211654 +597 688 4 875339132 +902 304 3 879464257 +268 210 3 875310571 +359 930 4 886453402 +890 230 3 882404947 +828 271 2 891035438 +899 283 4 884121424 +130 404 5 875802137 +846 1004 3 883950791 +790 763 3 884462692 +276 902 4 890979199 +379 185 5 880524582 +677 742 4 889399139 +748 132 3 879454998 +747 69 5 888640475 +933 475 2 874853605 +893 172 5 874829883 +290 385 4 880474716 +883 902 4 891691534 +422 859 3 879744218 +870 527 5 875679687 +758 1023 4 880672855 +747 12 4 888639272 +835 423 4 891033857 +830 210 5 891561607 +87 222 4 879875940 +871 345 3 888192859 +497 367 4 879362835 +659 159 4 891386540 +622 98 5 882669449 +524 203 4 884634819 +517 25 2 892659923 +880 111 4 880167132 +561 79 3 885808887 +865 432 1 880235059 +671 455 4 884035775 +533 936 4 889450822 +655 12 3 887427130 +699 619 2 887503290 +924 258 3 884336994 +495 82 5 888632969 +181 1296 1 878962006 +430 235 2 877225727 +173 329 4 877557345 +551 1044 3 892785223 +8 222 5 879362356 +936 547 5 886833795 +8 431 2 879362356 +891 459 5 891638682 +906 10 4 879435339 +363 737 1 891497174 +711 354 3 889910865 +894 900 3 887044070 +537 283 4 886029889 +736 678 1 878709212 +883 229 4 891696930 +407 184 4 875044473 +943 1074 4 888640250 +595 410 4 886921315 +675 1628 5 889489837 +5 367 3 875636281 +519 879 5 883248595 +655 127 5 888474106 +853 327 3 879364955 +666 216 3 880139642 +806 181 2 882384988 +624 321 4 879791962 +666 143 2 880568064 +806 210 5 882387520 +499 143 3 885598961 +749 164 3 878848866 +753 185 3 891401410 +324 339 3 880574827 +734 603 4 891022958 +725 333 5 876106729 +798 1239 4 875915965 +805 1 4 881695527 +535 645 4 879617856 +665 1 4 884290491 +59 434 4 888205574 +429 147 2 882385859 +843 443 4 879443297 +854 274 3 882812906 +463 19 5 877385341 +303 121 3 879485016 +415 136 5 879439684 +724 259 2 883757726 +59 1093 5 888203578 +503 582 5 880383064 +644 250 4 889077463 +825 406 2 889021208 +14 919 4 876964725 +682 196 5 888523581 +537 271 2 886028791 +833 443 3 875124348 +160 458 5 876768025 +653 1207 1 880153329 +479 357 4 889125798 +13 916 4 892870589 +542 12 4 886533774 +924 705 5 885457858 +729 300 4 893286638 +478 195 4 889396509 +868 408 5 877103935 +297 144 3 875238778 +909 289 3 891920763 +804 168 5 879442377 +395 127 5 883765034 +223 873 3 891549111 +363 24 3 891494754 +592 196 5 882955978 +501 294 3 883346694 +747 519 5 888639989 +682 713 3 888517537 +796 859 2 893218622 +412 939 4 879717253 +893 144 4 874830101 +758 430 5 881975503 +697 1047 3 882622228 +778 281 2 890803859 +690 56 4 881177349 +345 238 5 884916495 +666 963 3 880139090 +683 269 3 893282664 +674 289 2 887763151 +891 285 5 891638757 +639 526 4 891239177 +796 307 4 892611799 +871 908 3 888192745 +896 993 4 887235498 +721 245 3 877137527 +916 295 2 880843551 +301 658 3 882076463 +409 923 5 881107410 +702 748 2 885767556 +889 470 4 880180554 +354 747 2 891307069 +13 235 2 882141841 +797 687 2 879439190 +664 83 4 876524869 +632 609 3 879459677 +348 237 4 886523078 +295 546 4 879518780 +846 184 5 883949697 +653 156 4 878854633 +669 132 4 891260519 +756 230 3 874829010 +438 148 5 879868443 +506 79 5 874874054 +758 887 5 882322840 +653 143 3 880150104 +894 535 4 879896920 +638 385 5 876694917 +936 741 4 886832808 +792 926 3 877909798 +807 381 2 892530004 +630 121 4 885666823 +602 880 4 888637925 +476 401 3 883364812 +655 1426 2 888474390 +592 117 5 882608234 +747 93 4 888639685 +665 239 3 884293475 +931 269 3 891035876 +540 333 4 882156617 +727 405 3 883709571 +663 235 2 889492917 +702 258 5 885767306 +528 258 4 886812857 +921 274 4 879379971 +893 246 3 874829968 +896 640 2 887160701 +246 418 3 884921453 +894 923 5 882404278 +645 47 4 892054824 +620 138 5 889988312 +688 307 4 884153505 +497 440 1 879362430 +782 247 1 891499700 +58 1 5 884304483 +543 660 3 875659098 +389 524 5 879991081 +725 322 4 876103762 +334 1020 4 891546181 +833 262 2 875035534 +846 42 5 883948606 +129 300 3 883243934 +221 12 5 875245283 +805 748 2 879971215 +308 273 2 887737084 +936 591 4 886832373 +92 685 3 875640708 +561 473 3 885810428 +419 28 3 879435663 +312 213 5 891699067 +474 323 2 887915020 +847 261 1 878774763 +648 449 3 884882987 +560 264 3 879975231 +385 1118 3 879447047 +638 523 4 876695917 +568 519 3 877907157 +897 33 5 879992310 +795 395 2 883255008 +885 88 4 885713461 +851 228 4 875731776 +880 156 4 880243680 +152 283 4 880148616 +458 433 4 886398289 +880 11 4 880167695 +864 231 3 888891288 +57 477 4 883697655 +455 230 3 879111291 +906 475 3 879435253 +85 405 2 879453018 +682 290 1 888522217 +328 983 3 885049234 +894 1010 4 880993662 +922 257 4 891455049 +694 836 4 875727821 +48 1063 3 879434654 +566 86 4 881649622 +234 837 3 892079434 +756 235 3 874827755 +733 1163 2 879535603 +933 583 3 874854217 +455 82 5 879110818 +168 546 3 884287962 +592 285 5 882607910 +145 449 3 885557699 +500 582 4 883874290 +454 463 2 888267560 +130 123 4 875216112 +618 121 4 891308913 +894 111 3 880416102 +130 291 4 876250932 +184 160 3 889911459 +606 468 4 880923989 +711 655 4 879993605 +727 278 2 883709325 +680 150 5 877075105 +627 187 5 879529855 +934 1449 5 891191976 +288 176 4 886373565 +830 98 5 891462467 +741 699 4 891018400 +896 1134 3 887159950 +913 432 3 881366721 +450 776 4 882468402 +758 38 3 881980408 +545 434 3 884134177 +159 873 2 893256062 +586 184 2 884060807 +747 525 5 888640684 +774 196 3 888556746 +922 471 3 891453501 +235 170 4 889656113 +804 1411 3 879446129 +780 164 4 891363996 +778 54 2 890803859 +793 508 4 875104620 +762 274 4 878719371 +892 50 5 886608802 +815 647 5 878694055 +501 1014 4 883348543 +145 628 2 875270932 +901 140 4 877288179 +741 174 5 891018303 +417 40 3 879649199 +559 205 5 891033805 +838 286 4 887061035 +119 449 5 874782190 +613 576 3 891227204 +537 513 4 886030891 +900 288 2 877832113 +479 474 5 879461279 +545 944 4 879900731 +639 604 4 891240520 +747 190 4 888640305 +880 288 4 880166451 +63 14 4 875747401 +851 977 3 875730533 +882 662 3 879879807 +840 7 4 891203408 +906 7 3 879434846 +864 67 4 888891190 +587 1265 4 892871252 +568 179 2 877906935 +885 151 4 885716221 +514 89 4 875318331 +677 109 1 889399327 +942 878 4 891282702 +357 926 4 878951831 +717 288 1 884641717 +885 386 2 885713680 +851 346 5 884831499 +690 167 2 881177662 +242 294 4 879740082 +385 558 2 879442673 +846 498 4 883947861 +895 13 5 879437950 +727 685 3 883709518 +653 531 5 878854284 +210 168 5 887730342 +565 190 5 891037563 +733 744 4 879535723 +934 436 3 891196610 +911 190 5 892838864 +733 1085 4 879536607 +875 183 5 876465144 +699 10 4 883884599 +896 87 4 887158295 +435 194 4 884131627 +145 742 4 875270616 +848 200 2 887040302 +941 993 4 875048996 +450 519 4 887660820 +660 219 1 891406212 +350 187 5 882347782 +481 88 4 885829153 +406 702 3 879793295 +455 250 3 879109966 +454 285 2 881959917 +846 1066 3 883950568 +698 487 2 886367508 +882 168 5 879867631 +59 193 4 888204465 +919 285 5 875288748 +660 456 1 891198996 +844 260 1 877381312 +840 121 2 891204056 +306 1251 5 876504026 +624 477 3 879793198 +757 153 3 888468995 +735 748 3 876698022 +533 1291 1 879366076 +858 100 3 880932746 +405 99 5 885548785 +428 352 4 885943651 +269 52 4 891447329 +616 879 4 891224864 +664 182 4 876524641 +131 297 4 883681514 +499 525 4 885599660 +766 133 3 891309844 +395 866 3 883766119 +314 1063 5 877887568 +600 511 5 888451492 +828 1466 4 891380166 +650 301 2 891385035 +328 313 4 893195532 +921 227 3 879381051 +835 196 5 891033173 +561 802 1 885810726 +826 176 5 885690600 +744 302 5 881171820 +704 269 4 891397015 +630 213 2 885667994 +44 87 5 878347742 +606 211 5 880926759 +617 656 4 883789386 +59 519 4 888204965 +552 756 2 879221683 +344 408 5 884814532 +751 11 1 889133177 +620 237 4 889987123 +889 121 4 880177308 +374 829 2 885083439 +508 183 5 883767588 +871 17 3 888193275 +682 833 1 888522260 +716 486 5 879795121 +365 1011 3 891304152 +601 294 1 876346515 +883 209 3 891694311 +927 69 4 879183164 +798 378 4 875743858 +727 511 4 883710948 +905 124 4 884983889 +749 291 4 878848137 +686 265 4 879545550 +622 586 3 882671916 +796 879 4 892612031 +865 472 1 880144229 +622 404 3 882670562 +577 472 4 880470570 +160 129 4 876768828 +934 393 2 891193013 +867 186 5 880078937 +507 288 5 889964020 +625 1016 2 891273699 +286 280 4 876522097 +550 596 2 883426119 +802 302 4 875984532 +871 876 3 888192689 +276 428 4 874791870 +644 871 4 889077513 +389 969 4 880086755 +717 298 3 884715172 +799 289 3 879253720 +930 151 2 879534724 +918 443 3 891988248 +756 197 2 874829446 +299 12 5 877880350 +13 826 5 882398385 +655 640 2 888685955 +883 464 5 891717533 +665 151 3 884291017 +788 331 4 880867372 +625 522 3 891968164 +721 406 1 877154989 +199 269 5 883782458 +655 160 3 887427473 +697 257 5 882621913 +693 742 3 875483407 +898 270 4 888294408 +330 403 5 876545417 +605 371 5 879427369 +696 311 5 886404063 +295 402 5 879518820 +807 1133 3 892823295 +254 451 2 886474426 +192 255 2 881367505 +363 751 1 891493772 +452 504 2 875273544 +860 202 4 885990932 +896 291 3 887160795 +361 319 5 879440941 +930 288 1 879534001 +297 357 4 875238922 +451 302 3 879012647 +117 931 3 881010728 +218 514 4 877488316 +860 316 3 889627165 +1 165 5 874965518 +442 218 3 883390048 +655 785 2 887490946 +577 48 5 880474530 +860 333 3 876074177 +794 275 4 891034792 +586 3 5 884068767 +661 210 5 876015530 +569 100 5 879793784 +429 227 2 882385934 +833 381 4 875134016 +877 258 4 882676234 +343 150 4 876402941 +535 707 4 879618809 +715 108 4 875962315 +757 313 3 888443263 +646 751 2 888528870 +910 137 3 880822060 +807 257 4 893084232 +932 172 5 891250472 +758 898 3 883287566 +505 144 3 889333861 +846 570 4 883949698 +718 15 5 883348962 +457 147 5 882395400 +705 183 2 883427988 +681 682 1 885409810 +348 685 4 886523560 +535 265 3 879619144 +692 866 4 876953733 +883 703 3 891693139 +758 154 5 881975267 +431 269 3 877844062 +222 446 3 881060824 +652 96 4 882567356 +303 869 2 879485703 +290 95 4 880474590 +937 242 3 876762200 +429 155 2 882387633 +732 289 3 882590201 +933 196 4 874854932 +904 328 2 879735136 +916 212 5 880844879 +474 608 4 887925187 +721 684 4 877138200 +95 511 4 879196298 +921 892 3 884673402 +591 709 4 891031426 +416 80 2 886317825 +870 384 3 875680597 +716 519 3 879796555 +579 202 5 880952270 +747 507 3 888639890 +741 173 2 891018366 +497 1415 2 879363748 +567 127 5 882426246 +393 121 4 887744419 +329 8 2 891656391 +707 248 4 886285498 +648 452 3 884883679 +853 264 3 879365169 +889 12 5 880177880 +699 124 4 878882667 +826 501 3 885690380 +856 313 5 891489217 +708 118 5 877325545 +674 245 4 887762430 +456 547 3 881371660 +903 333 4 891032653 +767 183 4 891462870 +536 427 5 882359455 +303 147 4 879467816 +374 779 3 880939186 +721 51 4 877141038 +804 284 4 879442732 +643 238 3 891448095 +532 240 3 888629938 +709 7 3 879846440 +943 51 1 888640088 +87 121 5 879875893 +682 195 4 888522418 +773 185 4 888540279 +298 357 5 884181969 +738 2 3 875351530 +610 508 3 888703629 +940 855 5 885921980 +932 154 5 891249994 +429 204 4 882387757 +864 789 4 888886946 +899 483 4 884121572 +45 284 4 881014130 +75 289 1 884049789 +881 375 1 876539387 +640 391 3 874778756 +458 513 4 886396314 +682 1093 3 888522100 +42 1050 3 881107538 +800 294 3 887645970 +716 202 4 879794935 +655 262 5 888474934 +882 21 2 879863909 +500 1311 1 883877467 +883 4 4 891694276 +908 151 3 879722875 +154 496 3 879138910 +749 135 4 878848189 +714 471 4 892777903 +690 197 4 881180427 +217 17 3 889069903 +553 514 3 879948695 +847 95 4 878939503 +263 23 3 891298654 +936 243 2 886831820 +868 227 1 877110060 +711 181 4 876185574 +936 1014 3 886833571 +901 161 5 877131147 +666 162 4 880568662 +883 873 3 891695173 +452 199 5 885816768 +70 559 3 884066399 +933 72 3 874938538 +933 1246 1 874938728 +847 198 4 878940161 +487 349 3 885239880 +714 410 3 892777767 +649 250 3 891440356 +653 154 3 878867137 +903 186 5 891466376 +707 318 5 880061699 +82 640 3 878769292 +847 428 3 878940732 +916 223 4 880844087 +717 866 1 884642932 +655 761 2 888686011 +429 381 3 882385882 +927 288 5 879199250 +659 603 5 891331825 +825 289 1 882109193 +788 144 4 880868599 +810 243 4 879895350 +325 771 1 891480115 +373 529 4 877105901 +201 603 4 884113924 +760 66 2 875668932 +444 272 5 891978637 +303 289 2 879466065 +397 289 3 885349348 +308 770 4 887738057 +883 346 4 891691353 +943 226 4 888639660 +715 88 3 875964633 +311 47 2 884365654 +699 482 2 878883038 +23 89 5 874785582 +445 96 4 890987655 +798 692 4 875743140 +298 187 5 884183063 +414 324 4 884999127 +294 881 3 889241707 +433 137 5 880585904 +758 338 4 881295151 +276 316 4 892436314 +913 269 5 881725938 +927 240 3 879177456 +187 52 4 879465683 +922 183 3 891450401 +883 19 2 891692657 +875 461 4 876466687 +630 11 5 885668028 +894 86 4 882404306 +916 393 2 880845067 +877 197 4 882677827 +374 281 3 880393425 +479 157 5 879461856 +901 257 4 877127196 +655 182 4 888474106 +474 956 4 887926271 +693 192 2 875482477 +503 949 3 892667891 +615 100 3 879448693 +535 275 4 879619177 +615 97 4 879448759 +783 307 5 884326506 +297 196 4 875239267 +795 167 3 883254348 +643 845 3 891445476 +774 545 1 888555864 +234 964 4 892334852 +913 89 5 880794731 +447 276 4 878854552 +577 546 3 880470483 +725 19 5 876106729 +272 56 5 879455220 +835 484 4 891034219 +137 96 5 881433654 +915 313 4 891029965 +315 4 4 879821065 +821 560 3 874793773 +749 1023 3 881073104 +548 762 4 891415709 +223 155 5 891550952 +664 845 2 878090381 +919 687 1 875288362 +758 514 5 881974823 +940 708 3 885921953 +642 1239 4 885607097 +126 316 4 887855231 +151 174 5 879524088 +279 971 4 875314231 +782 1514 2 891500194 +750 873 3 879446013 +838 8 4 887066972 +351 895 3 883356591 +826 226 4 885690677 +707 458 3 880060724 +655 723 3 887650851 +758 628 4 881977714 +692 211 4 876953340 +474 650 4 887925187 +934 174 5 891191511 +753 181 3 891402240 +850 97 5 883195168 +743 326 3 881277656 +500 295 4 883865128 +749 153 4 878848828 +109 151 5 880571661 +732 937 4 882589967 +749 968 3 878850186 +788 637 2 880870516 +896 1423 2 887160631 +894 59 5 882404397 +416 477 4 892441480 +269 281 1 891451590 +686 178 5 879546715 +936 301 3 886831637 +442 89 4 883390416 +363 150 5 891496667 +897 410 3 879993621 +934 514 5 891191546 +334 44 4 891548224 +846 268 4 883946938 +674 15 4 887762584 +393 395 3 889731753 +437 443 4 880142851 +712 1037 4 874956981 +903 1070 4 891033335 +151 629 4 879528754 +629 309 3 880116240 +840 96 2 891204592 +711 79 4 879992739 +648 72 4 884881722 +749 418 5 878847498 +322 1019 4 887314073 +436 167 3 887770403 +274 873 3 878944491 +310 294 1 879436712 +830 172 5 891561606 +379 435 5 882563752 +615 191 5 879448759 +425 319 1 878737511 +474 421 3 887928562 +145 308 2 885557505 +429 100 5 882385807 +305 49 3 886324962 +584 450 2 885778571 +193 826 2 889126146 +567 608 4 882426021 +921 845 4 879379601 +749 527 4 878847364 +1 116 3 878542960 +28 219 5 881961728 +738 517 3 892938492 +243 237 2 879987148 +904 739 4 879735678 +896 824 1 887161541 +234 119 3 892335261 +880 144 5 880167670 +618 651 5 891307263 +514 180 3 886189927 +622 532 3 882591091 +886 518 4 876031601 +18 510 4 880130680 +554 133 4 876369272 +863 340 3 889288911 +617 531 2 883788859 +750 322 2 879445877 +193 1407 3 889126146 +892 182 5 886608507 +151 945 5 879524419 +94 1221 3 891721216 +385 528 4 879470274 +174 65 5 886514123 +760 451 5 875668781 +696 9 5 886404617 +426 100 4 879442128 +488 486 4 891295023 +615 192 5 879448780 +889 1188 2 880182784 +768 315 3 883834448 +931 258 3 891036003 +328 646 3 885046174 +50 100 2 877052400 +504 441 4 887911314 +546 758 4 885140808 +839 277 2 875752082 +843 550 3 879449152 +500 552 1 883876738 +918 792 3 891986904 +797 181 5 879439362 +822 111 4 891039414 +639 286 4 891238618 +232 294 2 880062259 +535 471 4 879618743 +721 304 3 877137285 +743 744 5 881277892 +256 11 5 882164406 +733 713 4 879535938 +870 239 3 875680597 +943 200 4 888639388 +704 135 5 891397305 +758 654 4 881975061 +545 28 4 884133814 +489 322 5 891366571 +233 523 4 877663913 +731 143 5 886182827 +630 239 4 885668061 +271 506 4 885849052 +555 111 4 879964159 +664 494 5 878089975 +227 823 2 879035599 +719 214 2 879360965 +896 157 4 887159555 +521 246 4 884475913 +290 402 4 880474422 +757 206 4 888445683 +729 294 2 893286338 +941 258 4 875048495 +263 31 4 891299387 +815 712 3 878696563 +865 1011 1 880144405 +912 194 4 875966238 +372 872 4 876869330 +933 173 3 874855020 +251 1 4 886272009 +248 79 3 884534992 +940 89 4 885921828 +13 175 4 882139717 +933 318 4 874853605 +899 193 3 884121946 +739 55 1 886958972 +724 1127 3 883758267 +669 216 3 892550170 +134 508 3 891732726 +729 751 3 893286338 +870 1267 2 879270213 +868 184 3 877107730 +921 125 3 879379774 +676 546 3 892686371 +308 211 4 887737535 +184 371 5 889909840 +855 179 3 879825528 +843 498 2 879446155 +727 118 4 883709729 +724 343 1 883757259 +642 588 5 886131546 +602 294 5 888637987 +94 51 3 891721026 +744 156 4 881170452 +737 64 4 884314740 +897 660 4 879991630 +896 576 2 887160677 +472 231 5 875980418 +536 588 3 882359726 +426 519 4 879444117 +707 1168 3 886287990 +564 272 3 888718415 +894 904 4 890409804 +663 763 5 889492614 +495 1542 4 888637643 +805 122 5 881705350 +591 64 5 891031203 +238 257 4 883576261 +942 216 4 891282963 +326 588 3 879875691 +313 427 5 891014029 +393 1225 3 889731820 +491 654 5 891189306 +736 254 1 878709262 +752 325 2 891208126 +570 286 4 881262625 +234 82 3 892334079 +119 31 5 874781779 +694 135 5 875727018 +403 147 5 879786052 +618 895 3 891309929 +788 546 3 880871429 +768 742 3 880136033 +313 89 5 891014373 +870 715 3 875680597 +506 496 5 874873615 +779 328 4 875501334 +458 76 4 886398121 +804 498 5 879442239 +597 477 5 875339970 +919 217 4 875373669 +892 176 5 886608681 +940 427 5 885921451 +379 524 4 880961742 +790 384 2 885158374 +666 188 5 880314564 +891 282 5 891639793 +727 169 5 883710419 +326 568 4 879876882 +886 475 5 876031501 +804 401 2 879445798 +819 319 4 879952627 +561 546 1 885810557 +796 1522 3 893194740 +443 269 3 883504564 +705 69 3 883518834 +549 1 5 881672182 +561 153 3 885808844 +498 317 3 881957625 +840 492 5 891204215 +406 282 3 879539987 +221 847 4 875244051 +757 98 4 888445767 +287 246 4 875333964 +417 161 3 879647519 +712 365 3 874730234 +630 465 1 885668203 +833 69 2 875039326 +297 485 3 875240267 +683 301 2 893283728 +417 163 4 879647604 +758 1527 3 888039070 +484 951 1 891195886 +655 131 2 893002283 +13 165 3 881515295 +415 258 4 879439135 +890 527 4 882405473 +682 708 3 888518104 +922 222 4 891447681 +734 173 3 891025247 +495 67 3 888636635 +901 174 5 877130965 +937 126 4 876769374 +464 520 5 878355167 +741 274 4 891019587 +921 560 2 879380981 +880 188 4 880167842 +932 226 3 891251292 +269 23 5 891447773 +621 692 4 874962614 +630 819 3 885667108 +896 198 4 887158636 +804 172 4 879442001 +883 553 4 891696782 +16 939 4 877717833 +279 1001 4 882160106 +409 657 3 881108126 +719 87 2 879360617 +778 28 4 890726618 +589 688 4 883352707 +495 80 3 888636992 +447 201 2 878855723 +757 151 4 888444684 +232 50 4 880062302 +807 477 4 892775458 +608 83 5 880406862 +509 892 1 883591489 +561 423 2 885808796 +627 591 3 879530205 +790 108 3 884462415 +271 566 4 885848707 +87 252 3 879876224 +551 97 5 892777013 +643 88 2 891449417 +825 593 3 880755468 +537 515 4 886031297 +666 527 4 880139253 +363 589 3 891496077 +843 25 2 879447523 +707 880 2 887860711 +737 154 4 884314694 +168 276 1 884287642 +326 9 1 879875852 +892 25 4 886609828 +632 356 4 879459248 +877 111 3 882677967 +757 742 4 888444563 +868 189 5 877109300 +216 315 5 883981859 +264 150 5 886122952 +480 152 4 891208390 +929 174 3 879640329 +767 724 4 891462658 +677 7 4 889399171 +894 13 4 882404137 +883 461 5 891717988 +868 922 5 877106505 +687 300 4 884652089 +846 452 3 883950950 +634 25 4 877018125 +751 1 3 889132162 +545 167 3 879900731 +591 956 4 891031286 +666 180 4 880139562 +755 300 4 882569574 +798 946 2 875639889 +456 550 2 881375381 +85 141 3 879829042 +462 539 3 886365773 +109 53 4 880583336 +450 866 4 882396565 +868 447 2 877107284 +899 73 4 884121720 +698 100 2 886367809 +246 50 5 884920788 +537 109 1 886030051 +712 495 4 874730520 +254 138 1 886474122 +489 323 5 891445388 +472 1215 4 875979562 +709 423 3 879846741 +56 238 5 892676885 +460 124 4 882912150 +628 690 5 880776981 +847 243 1 878774856 +606 516 4 880924859 +751 216 4 889133602 +174 240 1 886434241 +723 322 2 880499254 +857 275 5 883432663 +481 393 3 885829045 +550 222 4 883425979 +943 188 4 888639269 +436 50 4 887769415 +773 6 3 888538620 +551 587 4 892783525 +770 258 5 875971568 +935 237 5 884472159 +159 291 4 880485766 +761 205 4 876190511 +239 505 5 889180169 +486 9 5 879874449 +615 213 5 879447990 +498 179 4 881961133 +654 597 4 887864812 +762 270 4 878718855 +18 958 5 880129731 +892 429 4 886608559 +399 540 2 882348722 +537 222 2 886029974 +618 154 3 891308615 +881 528 5 876538536 +642 1078 5 885604239 +788 684 5 880868401 +471 82 5 889827822 +363 312 3 891494106 +894 14 4 880416472 +916 48 5 880844861 +14 240 5 880929697 +747 262 5 888638242 +691 604 5 875543025 +561 1229 1 885810220 +589 339 5 883352494 +24 655 5 875323915 +213 7 4 878870518 +693 449 2 875483407 +405 1556 1 885549635 +561 512 4 885808000 +894 909 3 889469007 +889 721 3 880179536 +884 100 5 876858820 +406 466 4 879446228 +521 550 3 885253844 +189 792 5 893265741 +669 150 3 892549477 +807 491 5 892528062 +778 132 2 891232769 +94 411 3 891724508 +705 546 3 883427377 +489 897 2 891448565 +896 518 3 887159234 +887 1116 5 881381610 +913 222 3 881037459 +218 153 4 877488692 +747 423 5 888638958 +222 1079 1 878183984 +911 727 2 892842738 +38 1028 5 892432624 +39 301 3 891400280 +538 527 3 877364067 +846 91 4 883948417 +343 496 5 876404426 +551 720 2 892784744 +495 1157 4 888637300 +733 696 3 879535909 +764 405 4 876243772 +860 949 3 885991163 +707 168 3 886286170 +406 281 3 879540296 +586 118 4 884062671 +827 689 3 882201884 +393 627 4 889729296 +586 159 4 884065719 +541 278 2 883875063 +739 751 3 886825083 +587 331 3 892871197 +807 199 5 892528374 +537 186 4 886031211 +486 324 4 879874262 +534 410 5 877807816 +916 702 3 880845157 +825 591 4 880755943 +276 554 2 874795823 +938 281 2 891356594 +907 409 4 880159151 +899 257 4 884120185 +727 423 3 883710830 +773 462 5 888538776 +435 193 3 884131243 +887 472 4 881378402 +707 6 3 886285627 +422 237 4 875130230 +13 749 3 881515521 +787 300 4 888979657 +796 69 5 892662483 +92 322 3 890251700 +766 414 4 891310150 +892 671 5 886608212 +769 1312 2 885424776 +799 748 2 879253755 +429 582 3 882384950 +560 24 2 879976772 +699 685 3 879147367 +771 892 5 886640606 +119 827 3 874775815 +896 55 3 887157978 +807 605 3 892529150 +415 483 5 879439791 +807 1411 1 893082619 +716 732 5 879795375 +846 1209 1 883950858 +452 625 3 875562159 +906 15 3 879435415 +763 230 3 878923288 +786 866 3 882842173 +627 199 5 879529702 +883 283 4 891692742 +345 570 2 884993662 +871 121 4 888193275 +899 746 4 884121512 +691 318 5 875543281 +760 365 5 875668737 +606 959 5 880927128 +767 242 4 891462614 +74 315 5 888333194 +758 687 3 881295189 +388 218 5 886441083 +387 399 3 886482969 +546 258 4 885139634 +850 168 5 883195456 +894 885 2 887044250 +924 286 3 884337043 +653 631 2 880150412 +222 50 4 877563194 +881 4 3 876538286 +552 977 3 879222033 +709 62 3 879848590 +756 79 4 874829990 +847 109 5 878938982 +666 484 4 880139149 +43 277 1 883955498 +296 211 4 884197068 +503 306 5 879438024 +838 228 4 887067390 +889 79 3 880179705 +811 286 5 886376983 +887 69 4 881380025 +715 196 4 875964131 +728 124 3 879443155 +451 306 2 879012684 +545 403 5 879899380 +733 285 4 879535299 +537 616 2 886031752 +738 169 5 892844079 +716 11 4 879795790 +505 183 3 889333392 +901 405 4 877127250 +805 418 2 881695527 +806 240 2 882385455 +880 1052 1 880175503 +460 312 4 882910837 +222 101 4 878183539 +890 654 5 882404851 +102 435 3 888801315 +253 82 3 891628295 +500 1048 3 883865532 +615 387 3 879448915 +872 1028 3 888479434 +392 517 5 891038466 +874 124 4 888632411 +79 311 4 891271278 +405 737 1 885546487 +606 282 4 878147641 +717 327 3 884641681 +704 208 3 891397262 +457 831 2 882396001 +798 220 3 875295810 +798 90 3 875914860 +307 132 4 879283333 +789 111 3 880332400 +705 1035 4 883427737 +815 494 5 878696093 +755 937 4 882569604 +916 235 3 880843749 +659 660 3 891384798 +429 789 4 882385443 +269 170 2 891447216 +756 147 4 874828826 +535 518 5 879618569 +822 358 3 891037112 +847 82 4 878941466 +878 140 2 880870486 +714 111 3 892777330 +406 924 4 879540228 +731 213 5 886183515 +943 794 3 888640143 +816 326 4 891710803 +109 810 3 880583410 +655 469 3 887427778 +875 333 5 876464801 +313 127 5 891013620 +10 502 4 877889261 +207 3 2 877846284 +930 455 1 879534692 +693 288 2 883975203 +794 181 4 891035957 +110 338 1 886987540 +181 685 2 878963381 +487 229 3 884042207 +289 15 3 876789581 +938 181 5 891356390 +863 1678 1 889289570 +143 322 4 888407708 +884 509 4 876859090 +663 475 4 889492435 +395 163 5 883764378 +922 418 4 891448580 +422 333 4 875655986 +860 381 3 885990998 +170 678 4 886623680 +722 322 3 891280402 +327 47 4 887746553 +897 55 3 879990622 +624 544 4 879792557 +201 116 1 884112800 +579 289 2 880951569 +823 151 4 878438732 +479 670 3 879461530 +918 921 4 891988029 +289 477 2 876790323 +664 654 5 876526604 +616 326 3 891224590 +796 228 5 892761629 +880 1270 3 880175187 +848 474 5 887038441 +640 214 5 874778274 +597 1016 4 875342355 +924 632 4 885458121 +291 760 2 874834037 +506 449 2 885135882 +883 116 5 891692786 +514 778 4 876067546 +751 402 3 889298216 +922 174 5 891449021 +734 478 4 891022849 +814 17 3 885411073 +931 250 2 891036673 +802 563 3 875985976 +663 100 4 889492503 +59 959 4 888206095 +344 1020 5 884814457 +757 895 4 888443483 +786 186 4 882843786 +903 931 2 891032038 +941 7 4 875048952 +457 145 3 882549998 +665 56 5 884294611 +16 286 2 877716993 +852 840 3 891036866 +274 237 4 878945678 +693 506 2 875484932 +932 183 4 891249877 +456 265 3 881374048 +201 702 1 884111986 +56 298 4 892683695 +807 1413 2 893083486 +585 20 4 891285658 +379 143 4 880525839 +735 304 4 876697679 +70 1145 3 884151622 +834 246 4 890863023 +434 118 5 886724873 +192 1265 3 881366585 +1 198 5 878542717 +693 471 3 875482653 +868 23 5 877104949 +457 28 5 882396989 +773 431 1 888540063 +385 533 4 879440602 +709 232 5 879848590 +810 300 5 890083187 +503 484 4 880472188 +295 209 5 879518233 +776 28 5 891628895 +920 328 2 884220058 +691 185 5 875543281 +681 1394 5 885409742 +889 1014 2 880177778 +574 288 4 891279174 +863 752 4 889289277 +868 658 3 877108742 +749 661 5 878847576 +887 477 1 881378570 +786 202 4 882843812 +591 168 3 891031724 +896 64 4 887158926 +167 606 4 892738452 +749 435 4 878847888 +413 515 5 879969591 +521 684 3 884478807 +813 890 4 883752708 +693 195 4 875483847 +856 322 4 891489593 +763 702 3 878917877 +527 12 4 879456637 +774 226 2 888557330 +890 174 5 882405780 +590 1061 2 879439538 +637 268 2 882898692 +271 496 5 885849140 +613 478 5 891227262 +133 539 1 890588720 +239 304 1 889181248 +846 66 4 883949290 +727 176 4 883710948 +543 1159 5 875665787 +542 94 3 886533021 +870 673 5 875679721 +643 68 3 891447338 +689 13 1 876676397 +624 690 4 879791962 +717 130 2 884642958 +886 790 4 876034095 +879 222 4 887761460 +615 302 4 879447500 +927 300 5 879176156 +797 948 1 879439230 +301 15 4 882074460 +520 871 1 885170547 +920 1612 4 884219953 +500 919 3 883865341 +141 984 4 886447880 +752 621 1 891208491 +885 318 5 885714093 +682 719 2 888521982 +452 50 5 875264825 +639 511 4 891239240 +557 252 3 880485846 +610 484 3 888703507 +753 427 5 891401712 +771 243 3 886640629 +889 204 4 880179757 +665 286 4 884289850 +111 286 4 891680076 +701 313 4 891446521 +839 508 3 875752479 +721 56 3 877150031 +758 531 5 881975061 +889 4 3 880180765 +886 1046 2 876033755 +810 286 4 891293811 +399 151 2 882511876 +747 88 2 888733218 +588 762 4 890026705 +924 923 5 886327748 +881 546 4 876536012 +643 405 3 891445859 +916 182 3 880844123 +546 200 5 885141332 +181 151 2 878962866 +234 1101 3 892335372 +843 654 2 879446359 +659 135 3 891383412 +715 205 5 875964410 +535 792 4 879618655 +738 227 4 875353533 +176 285 5 886047963 +871 96 5 888193177 +846 692 3 883949594 +932 144 3 891249710 +635 874 3 878878714 +758 151 5 881975814 +682 925 3 888520923 +249 318 5 879572256 +605 302 4 879365132 +639 173 1 891239492 +750 748 3 879446013 +634 591 4 875729535 +883 1021 5 891693058 +880 418 4 880241256 +134 678 4 891732271 +406 73 2 880131704 +429 616 3 882386333 +749 1092 3 878850703 +445 1129 4 891199994 +152 33 5 882475924 +748 647 3 879454602 +727 258 2 883709325 +896 1074 2 887161393 +744 479 5 881171482 +764 845 4 876242972 +716 241 3 879796138 +11 196 5 891904270 +933 453 1 874938833 +887 176 5 881381348 +879 597 2 887761229 +854 50 4 882812102 +909 166 5 891920166 +682 250 4 888523635 +540 257 4 882157584 +374 713 1 880935656 +926 303 3 888351713 +919 878 2 875288443 +715 81 4 875963112 +803 269 5 880054592 +840 303 5 891202889 +524 855 4 884634911 +399 176 3 882342127 +862 100 5 879304196 +457 287 4 882394010 +118 317 5 875384885 +864 48 5 888886945 +632 549 3 879459210 +940 683 3 884800988 +682 1135 2 888518035 +695 354 4 888806056 +766 205 5 891309975 +563 255 5 880506528 +749 705 4 878847612 +691 672 1 875543153 +269 476 1 891446703 +846 542 3 883950712 +908 357 3 879723046 +333 483 4 891045496 +561 1267 3 885809690 +709 413 2 879848209 +716 151 5 879793631 +622 96 5 882592449 +868 402 1 877113412 +303 17 4 879466830 +308 293 4 887741415 +711 312 5 883589763 +615 514 5 879449110 +765 275 4 880346768 +864 562 4 888891794 +610 51 5 888703523 +269 1411 3 891451829 +823 157 5 878438435 +186 1213 3 879023882 +29 303 4 882820686 +771 8 5 880659583 +497 294 4 878759351 +890 168 5 882916704 +895 50 5 879438062 +712 652 3 876251407 +843 393 2 879448858 +207 538 2 880853139 +896 596 2 887159426 +899 239 3 884121946 +693 520 2 875485037 +629 100 5 880116847 +886 582 1 876032029 +710 282 2 882063921 +184 792 4 889909840 +397 693 4 885349955 +615 325 2 879447693 +655 272 3 888474138 +316 58 3 880854267 +707 485 4 886287079 +745 202 3 880123486 +659 212 4 891387227 +487 24 4 883444558 +793 823 3 875104648 +526 325 3 885682102 +497 826 3 879311007 +733 922 3 879535406 +776 947 2 891628836 +780 603 2 891364059 +710 198 4 883705435 +783 301 4 884326424 +693 99 3 875484763 +637 257 2 882903511 +624 316 4 891961232 +856 326 2 891489450 +637 322 3 882900888 +410 689 2 888626881 +876 529 4 879428451 +606 844 4 878149278 +652 307 4 882566890 +916 190 4 880846339 +699 1061 3 879147169 +450 33 5 882398083 +890 660 2 882917026 +320 1052 2 884749097 +889 207 3 880179785 +846 1451 4 883948089 +135 581 4 879857931 +735 181 4 876698604 +655 1101 2 887427243 +804 474 4 879441524 +864 43 3 888891524 +745 230 2 880123572 +651 683 3 880126096 +244 651 4 880606069 +864 523 4 888888202 +381 124 5 892697690 +864 432 2 888887502 +912 97 4 875966783 +821 705 5 874793649 +844 89 3 877387857 +727 82 3 883711527 +785 1 4 879439137 +399 780 1 882350850 +537 347 4 886028845 +751 372 3 889297990 +782 682 4 891498513 +860 313 4 885145375 +496 28 2 876066153 +454 135 2 888266433 +478 153 3 889396212 +711 1053 4 879995099 +780 286 4 891362937 +700 174 4 884493862 +754 459 4 879451805 +551 433 5 892777787 +592 123 4 882608573 +782 1385 4 891500028 +605 210 3 879424452 +145 98 5 875271896 +269 231 1 891451013 +517 311 3 892660034 +316 427 5 880853704 +449 268 2 880410988 +297 147 3 874955183 +943 73 3 888639598 +776 355 3 892210668 +447 535 4 878854954 +556 319 3 882135437 +828 283 3 891035864 +527 357 5 879455654 +323 98 4 878739699 +600 187 5 888451750 +922 98 5 891447665 +669 187 5 892550170 +868 208 3 877108624 +656 903 2 892318777 +131 248 3 883681262 +797 286 2 879438957 +587 890 1 892871503 +694 603 4 875727476 +405 1567 1 885547123 +806 156 4 882388128 +881 435 3 876538796 +938 840 2 891357190 +775 344 5 891032777 +721 15 4 877140632 +540 15 3 882157084 +916 527 4 880845135 +70 257 4 884063946 +280 68 3 891701066 +653 245 4 893276091 +776 181 4 891628916 +774 202 5 888555964 +862 831 3 879303542 +707 766 3 886287051 +504 559 5 887840745 +503 199 4 880383625 +99 678 2 885678479 +912 185 3 875966065 +937 293 4 876769530 +454 238 3 881960361 +201 792 4 884140579 +373 739 3 877111819 +899 710 3 884122619 +413 333 2 879968933 +655 292 2 889293132 +781 87 4 879634340 +872 1061 4 888479701 +214 114 4 891544290 +894 324 3 879896168 +766 185 4 891310038 +623 15 4 891032375 +768 313 5 883835026 +741 7 3 891040277 +805 545 1 881705488 +903 105 3 891031794 +766 187 4 891309053 +593 735 4 886193600 +619 326 2 885953601 +795 168 5 881528760 +717 343 4 884641983 +464 332 4 878354761 +425 184 4 878738596 +870 646 4 875050524 +926 325 1 888636269 +189 199 5 893265263 +648 436 5 884883476 +919 919 2 875288805 +83 79 5 887665423 +690 186 4 881177349 +932 194 5 891250472 +654 121 4 887863757 +30 164 4 875060217 +781 327 4 879633862 +843 569 1 879443482 +727 188 3 883711679 +934 488 5 891192197 +727 7 2 883708927 +707 279 3 886285627 +678 276 5 879544952 +594 19 3 874781004 +694 483 5 875727449 +606 1016 3 887062032 +934 648 3 891190695 +457 25 4 882393828 +926 315 4 888351623 +840 83 5 891204215 +881 395 3 876538322 +864 209 3 888887172 +877 381 4 882677345 +907 596 4 880159015 +450 702 4 882371904 +472 566 4 875982727 +815 993 2 878691939 +399 320 3 882342537 +830 197 4 891464415 +297 367 2 875239018 +790 584 4 885156773 +901 229 4 877131205 +416 942 4 893214333 +222 38 2 878185102 +328 586 1 885048666 +567 248 4 882427273 +671 203 3 884035173 +577 465 4 880474851 +932 114 5 891249903 +818 300 2 891870222 +588 468 3 890015835 +780 339 4 891363073 +268 80 3 875743909 +5 434 5 875637033 +25 133 3 885852381 +194 67 1 879549793 +62 22 4 879373820 +643 128 3 891447617 +378 370 2 880333494 +896 674 2 887160446 +548 50 5 891044304 +346 472 4 874950937 +736 253 5 878709365 +888 535 4 879365497 +868 47 2 877108302 +389 187 5 879990996 +840 505 5 891204714 +479 831 2 879460562 +727 471 3 883709188 +222 358 2 877562839 +347 121 3 881652535 +494 514 2 879541246 +823 770 4 878438754 +318 898 4 884470237 +807 194 4 892528427 +774 365 2 888556989 +650 136 4 891372203 +870 505 4 880584752 +627 233 2 879531351 +524 12 3 884634646 +727 596 4 883709188 +577 409 5 880470682 +256 665 4 882164644 +747 215 5 888732899 +758 1244 3 881713279 +910 125 3 880821383 +598 895 2 886710977 +890 228 4 882404879 +514 710 5 875318331 +504 928 4 887831353 +938 1014 4 891356632 +730 246 4 880310264 +889 22 3 880178158 +664 582 1 876525044 +751 347 4 887134587 +378 83 4 880045989 +846 414 4 883949771 +440 324 5 891548567 +457 179 4 882397963 +577 179 2 880474829 +892 729 4 886610174 +716 404 4 879796438 +892 265 4 886608380 +701 300 3 891446520 +57 15 4 883697223 +751 96 4 889133154 +897 50 5 879994113 +671 849 3 884036050 +796 785 5 893047287 +746 204 5 885075539 +904 451 4 879735584 +189 525 5 893265946 +766 577 3 891310934 +642 1053 3 886207279 +565 509 4 891037692 +18 512 5 880131407 +200 931 3 891825627 +406 1197 3 879539884 +916 246 5 880843318 +506 607 4 874874851 +770 748 5 875971655 +727 470 5 883711847 +807 79 5 892528690 +32 455 2 883717796 +922 949 5 891454320 +447 118 4 878854578 +881 526 5 876538251 +881 125 5 876536745 +881 405 4 876536667 +593 405 3 875659943 +727 1035 2 883712245 +561 496 3 885807369 +767 300 4 891462511 +711 427 5 886030557 +13 765 2 886303934 +172 428 4 875537964 +916 213 4 880844675 +704 187 4 891397143 +223 288 3 891548562 +499 98 4 885599119 +894 121 3 880993662 +805 554 1 881695080 +695 323 2 888806292 +497 53 3 879362178 +747 475 5 888639397 +816 294 5 891711801 +758 1012 4 880672727 +94 1135 4 891722646 +758 665 2 882055988 +910 24 3 880821367 +932 611 5 891250418 +479 408 5 879460091 +398 71 5 875743517 +712 724 3 874957268 +655 313 4 888474285 +939 1190 5 880260883 +622 375 2 882592625 +859 1315 4 885775251 +611 882 4 891636192 +875 300 3 876464800 +642 405 3 885606946 +247 70 5 893097024 +659 423 4 891384414 +893 412 3 874829249 +938 370 5 891357137 +864 1303 2 888890997 +279 946 3 875313032 +796 1048 2 893047288 +807 94 2 892823225 +394 715 4 880888689 +679 249 3 884486594 +648 826 3 882212526 +536 755 4 882360993 +916 194 4 880843997 +798 28 4 875638354 +23 423 3 874786488 +843 250 4 879445087 +594 245 3 874780909 +697 456 3 882622287 +921 411 2 879380142 +652 300 4 882566890 +650 633 4 891371091 +805 476 1 881705592 +10 430 3 877886597 +662 276 3 880570080 +83 728 4 880308909 +805 525 4 881696335 +567 673 3 882427089 +201 22 2 884112201 +634 1067 4 875729069 +773 152 5 888539398 +785 288 3 879438537 +534 760 2 877808098 +763 509 5 878920895 +429 529 4 882385243 +889 511 4 880178183 +674 678 3 887762480 +659 178 5 891332261 +535 302 3 879617063 +819 381 4 884105841 +930 269 4 879535392 +902 306 4 879463212 +877 340 3 882676395 +645 656 4 892053241 +881 27 3 876538953 +379 234 5 880524541 +38 1016 5 892429542 +737 169 4 884314644 +336 368 1 877756695 +472 472 5 875979153 +551 393 5 892782901 +919 112 3 875289417 +463 125 4 877385590 +547 302 5 891282575 +634 690 3 877368446 +707 1022 3 879439088 +303 47 5 879467959 +596 300 4 883539011 +811 315 4 886377579 +774 58 1 888556698 +588 202 1 890015500 +518 289 4 876823804 +942 607 5 891282931 +504 202 3 887909347 +925 948 2 884717790 +697 742 3 882622044 +437 1006 3 881001472 +216 81 4 880233726 +580 286 4 884124750 +867 651 5 880079065 +712 716 5 874730370 +394 173 5 881057730 +437 52 3 880141402 +808 300 4 883949681 +496 190 5 876072632 +823 152 5 878437703 +899 79 5 884122278 +927 1229 3 879197198 +764 284 4 876243015 +773 209 5 888539425 +57 50 5 883697105 +722 333 5 891279945 +484 117 4 881449561 +488 178 4 891294158 +894 252 3 879896897 +507 1237 5 889964311 +235 463 4 889656008 +716 117 4 879793542 +747 429 4 888639823 +892 496 5 886609435 +707 782 3 886288263 +749 986 3 878850107 +908 484 4 879722361 +724 289 1 883757703 +437 172 4 880140257 +43 274 5 883955441 +869 294 3 884490151 +868 59 4 877103757 +854 12 5 882813990 +561 544 2 885809872 +234 31 4 892334803 +758 580 4 881974880 +601 421 1 876350060 +934 664 4 891193331 +933 651 3 874854081 +889 117 4 880177154 +11 58 3 891904596 +804 22 5 879444407 +643 403 3 891449534 +775 900 3 891032956 +710 343 3 882063327 +731 527 5 886184682 +727 328 4 883708149 +64 591 4 889740394 +643 325 2 891446581 +538 642 3 877107633 +886 939 4 876031765 +933 746 4 874854762 +899 168 4 884121799 +393 483 4 889554540 +705 1544 4 883427691 +383 316 5 891192472 +608 1063 5 880405659 +527 135 2 879456587 +170 294 3 884705913 +821 117 3 874792442 +816 331 5 891710922 +727 71 3 883711069 +447 235 2 878854605 +927 1093 4 879177243 +943 195 4 888639407 +734 313 4 891022311 +744 301 3 881171857 +880 1210 4 880243790 +822 235 3 891039543 +693 582 2 875482477 +648 472 3 882211965 +435 271 4 884130671 +796 776 4 893219065 +852 50 5 891036414 +671 1491 1 884034132 +889 300 3 880176620 +804 1016 4 879441099 +754 282 4 879451804 +324 873 5 880575108 +537 197 4 886030891 +930 845 3 879534724 +758 218 4 881977487 +717 825 2 884642558 +640 169 5 874777890 +666 237 3 880313391 +836 1065 4 885754231 +468 1070 5 875301653 +823 721 4 878438695 +916 472 3 880843697 +2 272 5 888979061 +920 270 3 884219993 +741 66 3 891018266 +484 176 4 891195298 +708 1023 3 877326114 +663 410 3 889492759 +87 174 5 879875736 +479 169 5 879460917 +374 96 4 880938870 +693 187 3 875482336 +940 310 3 884800966 +11 301 4 891902157 +389 199 5 880165388 +860 690 4 876750421 +784 315 4 891386988 +527 116 4 879456611 +932 507 5 891249675 +222 198 4 881059039 +524 275 3 884832616 +189 255 2 893277551 +286 16 3 876521809 +650 658 3 891387571 +773 432 4 888539232 +857 258 5 883432193 +787 319 3 888979721 +871 307 3 888192315 +830 29 1 891899476 +919 458 2 875289212 +417 515 4 879646225 +328 121 4 885048266 +786 357 5 882842878 +870 276 4 889717102 +863 324 5 889289385 +627 468 2 879530408 +637 237 2 882903511 +734 496 5 891025523 +609 1 1 886896185 +551 125 4 892783791 +5 63 1 878844629 +479 756 1 879462203 +751 394 4 889297640 +696 520 5 886404617 +874 197 4 888633310 +883 487 5 891755066 +897 389 3 879991341 +630 273 5 885666779 +506 218 3 874873615 +303 4 4 879467936 +472 423 5 892791017 +745 28 2 880123671 +758 550 4 881978115 +486 297 4 879874629 +432 282 5 889416456 +913 25 3 881366974 +908 111 3 879723073 +782 748 4 891498720 +846 849 3 883950129 +739 195 5 886958939 +506 604 4 874873528 +484 415 3 891195857 +904 300 4 879735109 +655 200 4 887473639 +886 239 3 876032635 +868 132 4 877103195 +618 1212 2 891309410 +641 969 4 879370259 +666 657 4 880139642 +90 750 4 891383319 +847 1204 3 878940757 +387 204 2 886479771 +711 755 3 879994581 +697 246 5 882622798 +766 403 3 891310444 +781 318 3 879634124 +795 89 4 880569085 +938 151 4 891356679 +788 199 5 880868673 +764 56 4 876244472 +666 92 3 880139493 +758 481 5 881976031 +751 154 3 888871900 +847 93 1 878775570 +871 1024 3 888192689 +532 1228 3 874789704 +863 299 2 889289385 +922 746 4 891451143 +296 276 5 884198772 +91 343 4 891438151 +648 635 2 884883476 +873 750 3 891392303 +815 86 5 878693989 +23 116 5 874784466 +334 496 3 891547040 +633 147 4 875325740 +835 183 4 891034023 +445 298 2 891199906 +899 254 2 884122845 +796 66 5 893047241 +495 631 2 888632677 +903 183 4 891032872 +864 86 4 888890547 +788 141 3 880869984 +334 208 5 891546405 +899 83 4 884121214 +892 946 3 886610996 +94 365 3 891722383 +676 222 4 892686273 +846 4 5 883948908 +882 180 4 879865307 +496 771 2 876073865 +770 298 4 875971902 +422 218 4 879744086 +791 754 4 879448086 +454 111 1 888267086 +650 494 3 891371153 +871 1137 3 888193541 +450 1135 4 882396352 +654 147 3 887863488 +387 100 5 886484336 +13 132 4 882140002 +867 22 5 880078424 +682 187 5 888517235 +894 343 2 883518895 +38 35 5 892433801 +870 332 2 879982785 +888 180 4 879365004 +655 660 2 888475101 +782 1012 2 891499344 +540 274 4 882157662 +546 50 5 885140368 +650 56 3 891369798 +706 258 4 880997001 +758 170 5 881976233 +107 322 1 891264535 +862 977 4 879302877 +354 971 3 891217482 +551 310 4 892775516 +800 289 4 887646980 +354 196 3 891218457 +181 1025 1 878961668 +603 313 5 891956091 +655 953 3 887427243 +61 294 2 891220884 +303 559 4 879467670 +919 244 2 875289025 +763 55 4 878917384 +715 471 4 875962202 +486 288 4 879874153 +751 709 4 889132929 +655 1135 3 887427743 +216 210 4 880235229 +655 56 3 887428060 +747 188 5 888639890 +456 1107 4 881375587 +916 509 4 880844312 +360 96 3 880355803 +387 172 4 886480206 +893 240 4 874828864 +58 174 4 884305271 +486 268 3 879874064 +738 189 4 875351404 +758 141 4 881977533 +279 687 4 878793072 +785 152 4 879439527 +843 52 2 879447110 +848 82 5 887039164 +540 286 4 882156584 +5 181 5 875635757 +497 665 2 879310966 +5 412 3 875635416 +871 202 4 888193385 +472 176 5 875981664 +627 942 2 879530408 +405 970 1 885546487 +276 334 4 877935456 +642 54 4 886206959 +901 181 4 877127128 +246 1220 3 884921794 +262 338 4 879961532 +2 278 3 888551647 +474 4 5 887927588 +878 165 4 880866241 +833 118 2 875038483 +864 391 4 888893224 +525 14 3 881086078 +932 1205 5 891250643 +591 435 4 891031724 +556 268 4 882135646 +859 535 5 885774867 +906 544 4 879435664 +405 1308 1 885546336 +843 628 2 879443951 +868 685 1 877111394 +763 153 4 878915692 +617 56 1 883789425 +791 301 3 879448035 +767 170 5 891462717 +314 477 3 877886375 +600 174 4 888451665 +524 1048 4 884627594 +764 237 4 876243440 +826 422 2 885690379 +754 292 3 879451958 +328 911 3 893195879 +844 97 3 877386855 +293 877 2 888904265 +711 475 5 876185673 +924 421 4 885458060 +827 302 4 882201356 +389 486 4 880086971 +716 506 4 879794775 +727 55 3 883710375 +911 205 3 892839454 +452 661 4 875261747 +727 977 2 883709948 +782 127 4 891499213 +793 248 4 875103875 +472 227 5 875981429 +751 82 4 889133334 +459 409 2 879563796 +854 735 3 882813990 +709 50 5 879846489 +424 276 2 880859623 +426 968 3 879444952 +749 215 4 878847172 +488 89 4 891294854 +158 210 4 880134296 +940 343 2 884801246 +326 427 4 879875483 +586 234 3 884060614 +936 253 5 886832454 +863 903 3 889289570 +715 2 3 875964926 +303 615 4 879467413 +276 245 3 877935446 +405 920 1 885549746 +478 393 4 889397306 +900 284 2 877833287 +928 358 5 880936023 +774 222 3 888558539 +262 596 4 879961980 +625 192 2 892000438 +489 338 3 891448200 +880 849 3 880167918 +260 881 4 890618537 +659 1267 3 891385689 +269 1427 2 891448141 +791 245 4 879448087 +885 154 3 885713434 +709 1059 5 879847945 +18 32 2 880132129 +871 1022 3 888192689 +144 100 5 888104063 +653 496 2 878866679 +276 567 3 874792794 +788 118 3 880870335 +854 461 3 882814298 +387 191 4 886479610 +896 471 3 887159972 +883 175 5 891694312 +642 411 5 885605834 +454 486 3 881960385 +7 69 5 891351728 +222 692 4 878182370 +863 342 1 889289241 +665 135 4 884294880 +819 346 5 884012487 +455 239 3 879111397 +344 628 4 884899442 +844 184 3 877387769 +15 748 3 879455262 +303 287 4 879485203 +452 102 2 875560150 +546 379 4 885141465 +455 200 5 879111092 +807 227 4 892529805 +679 215 3 884487999 +60 496 4 883326682 +305 505 3 886323006 +895 301 4 879437793 +874 14 4 888632411 +939 993 4 880260853 +405 1591 1 885549943 +279 30 2 877756984 +672 284 4 879789030 +885 588 4 885714820 +16 202 5 877724726 +463 111 2 877385414 +843 71 2 879449256 +796 761 3 893048622 +741 181 4 891036681 +790 67 3 885158007 +705 82 5 883427663 +698 181 3 886366141 +405 923 2 885549464 +655 317 3 887474269 +577 215 5 880474556 +69 79 4 882145524 +663 978 4 889492614 +795 174 4 880569625 +650 926 3 891388294 +479 485 3 879460844 +927 105 1 879181879 +568 178 4 877907327 +880 793 4 880174677 +790 716 4 885158033 +833 428 2 875134110 +661 280 3 886841562 +848 845 5 887046565 +854 144 3 882814298 +762 246 1 878719294 +425 854 4 878738854 +648 1258 2 884366613 +903 248 2 891031309 +618 73 3 891309440 +664 497 3 878092649 +798 275 4 875295842 +886 200 3 876031573 +903 1 3 891031280 +699 828 3 884152917 +650 417 3 891387591 +83 756 4 883867791 +316 582 5 880854539 +592 235 3 882608662 +568 100 4 877907281 +764 4 3 876245421 +456 402 2 881375416 +449 475 5 879958603 +830 501 3 891561474 +655 1024 3 887650979 +653 780 2 880606620 +169 482 3 891359171 +936 93 5 886833795 +919 976 2 875289453 +578 245 3 887229523 +487 803 2 884045297 +771 97 1 880659919 +293 96 3 888905519 +933 132 3 874853605 +906 676 5 879435415 +899 479 4 884121612 +655 1407 2 887491131 +758 653 3 881975922 +592 480 4 882955662 +747 176 4 888638958 +397 243 1 875063613 +932 213 3 891249038 +931 690 4 891036003 +710 346 4 883705502 +22 50 5 878887765 +848 357 5 887038104 +378 323 3 890572396 +538 483 5 877109932 +542 780 3 886533003 +896 39 2 887158739 +606 942 4 880926700 +279 180 2 875308670 +788 679 2 880871057 +707 1545 2 886288189 +934 161 4 891193290 +851 79 4 875731722 +536 631 2 882363934 +742 100 5 881335492 +886 558 3 876031656 +747 8 5 888639175 +889 252 3 880177503 +738 179 3 875353869 +830 161 4 891561870 +923 928 4 880388306 +380 97 3 885478271 +764 125 4 876243795 +712 432 4 874730056 +610 755 5 888703710 +682 363 2 888522612 +868 998 2 877112063 +942 362 3 891282420 +399 235 4 882340876 +445 281 1 891200417 +13 819 1 882141924 +916 49 3 880845673 +709 427 4 879846489 +922 550 3 891450805 +590 274 3 879439256 +721 988 3 877137598 +391 194 4 877399486 +673 323 2 888787508 +506 2 4 874874850 +504 282 4 887831838 +851 915 5 893090752 +607 462 4 883880110 +31 1019 5 881548082 +647 496 4 876534275 +796 880 3 892611840 +425 443 2 878738956 +901 111 3 877126434 +406 97 5 879446639 +102 760 1 888803245 +931 220 3 891037046 +849 568 4 879695317 +546 816 3 885141411 +869 13 3 884491199 +880 584 3 880242933 +896 568 2 887159603 +851 455 3 875730379 +751 433 3 889134186 +601 148 3 876348140 +794 286 3 891034156 +496 22 4 876065259 +447 1009 4 878854876 +757 231 2 888466614 +757 258 5 888443306 +943 27 4 888639954 +796 414 3 892663044 +453 790 4 877561800 +616 748 3 891224840 +605 12 4 881016144 +630 15 3 885666718 +861 301 4 881274504 +184 368 1 889908104 +665 88 3 884294552 +624 1067 4 879793330 +847 173 5 878940332 +708 121 3 877325349 +669 190 3 892550170 +803 321 4 880054792 +894 979 3 880416473 +738 173 5 875350012 +748 169 4 879454848 +682 585 4 888522021 +655 464 3 887523367 +259 1074 3 874725264 +417 779 2 879649577 +758 290 5 881978495 +798 82 4 875915855 +727 1224 3 883712219 +312 614 4 891698865 +934 389 3 891195811 +796 409 3 893219122 +616 895 3 891224644 +320 1291 3 884749172 +878 175 2 880869911 +308 629 4 887738894 +100 887 2 891374868 +796 1299 2 892676043 +85 42 3 879453876 +316 100 4 880854083 +773 428 4 888539512 +882 419 5 879864917 +559 566 5 891034688 +500 740 3 883865632 +62 72 3 879375762 +293 815 2 888905122 +894 475 3 880416176 +379 97 3 882563752 +222 147 4 877563694 +880 29 2 880167965 +788 1407 3 880871717 +919 100 5 875288522 +796 194 4 892662826 +738 732 3 875350316 +912 611 3 875965830 +566 134 5 881649853 +736 323 1 878709187 +70 79 4 884149453 +765 50 2 880346255 +732 332 5 882589819 +642 416 5 886455469 +782 881 3 891498381 +897 659 5 879990923 +152 393 5 884018430 +717 1282 4 884642762 +622 227 3 882592815 +382 496 3 875946945 +719 220 5 888454728 +689 300 5 876674606 +625 91 4 891263057 +521 833 2 884476869 +545 679 2 879899438 +912 654 3 875966027 +718 255 4 883348773 +727 231 3 883713286 +721 286 5 877137285 +843 661 3 879447077 +426 482 5 879442737 +921 815 5 879379942 +669 290 2 892549820 +896 209 3 887158790 +714 117 5 892777876 +880 392 3 880242475 +383 488 4 891193242 +640 42 5 874778345 +234 89 3 892079910 +758 722 3 881980408 +666 172 3 880139090 +807 195 3 892528999 +560 93 3 879976559 +782 299 3 891498079 +336 871 2 877757550 +315 137 5 879799423 +387 178 3 886483824 +798 14 2 875295930 +7 217 4 891352778 +237 483 5 879376381 +644 259 4 889076433 +336 1249 3 877756356 +606 827 3 880922625 +653 290 3 880153522 +504 225 4 887832207 +655 1149 3 887429107 +907 628 5 880158986 +911 638 4 892839391 +907 202 5 880160204 +293 229 2 888907726 +458 631 4 886397541 +234 52 4 892334141 +875 496 4 876465144 +707 732 4 886287160 +416 150 5 893214041 +766 214 2 891309667 +804 456 3 879444011 +865 240 2 880143680 +805 1014 4 881694265 +527 431 3 879456363 +825 125 5 880755942 +561 40 2 885810834 +72 708 4 880036691 +457 154 5 882397058 +674 121 4 887762881 +550 271 5 883425652 +748 483 4 879455040 +798 602 3 875639260 +684 15 5 878759758 +116 916 2 892683699 +269 432 4 891450005 +718 289 3 883348391 +437 417 5 880143482 +569 762 3 879794740 +593 204 4 875660886 +886 1095 2 876033897 +897 429 5 879990587 +932 576 2 891252198 +790 216 5 885156435 +668 288 4 882818604 +522 208 5 876961248 +648 569 3 884883578 +503 224 3 880390128 +773 98 4 888540279 +343 1267 4 876406576 +406 163 3 880131582 +790 143 3 885156193 +916 87 3 880844262 +751 494 4 889133556 +450 485 5 882373088 +758 250 4 880672766 +759 756 4 875227922 +271 729 4 885848996 +94 587 4 891721078 +222 423 4 878183657 +601 234 1 876348947 +878 435 4 880866103 +184 241 3 889909812 +747 222 2 888640180 +899 1016 3 884120149 +276 844 4 877934677 +64 1065 1 889737968 +935 924 4 884472392 +402 275 5 876266741 +751 143 5 889133882 +932 657 5 891249767 +936 50 4 886832282 +704 185 4 891398702 +407 569 3 876348296 +378 193 4 880056160 +943 405 4 875502042 +763 972 3 878918333 +894 323 2 879896268 +684 215 5 875812176 +886 227 3 876032331 +747 985 2 888732640 +453 941 2 877561613 +578 246 2 890939697 +500 755 3 883876251 +650 230 4 891369656 +703 1 4 875242851 +886 157 4 876031695 +757 1016 3 888444563 +877 737 1 882677749 +913 963 4 881725737 +561 960 4 885809605 +686 969 5 879546083 +521 249 4 884476257 +798 95 5 876175467 +697 1067 5 882622170 +805 337 2 881180971 +698 9 3 886367956 +864 578 3 888889948 +749 258 4 878846265 +181 687 1 878961814 +329 248 3 891656640 +330 694 5 876545971 +551 284 4 892783110 +663 12 5 889493576 +899 747 1 884122535 +707 703 4 886287236 +389 728 3 880089302 +880 55 3 880167778 +77 199 5 884733988 +860 1041 2 887754411 +533 121 4 879192901 +498 174 3 881956953 +818 271 4 891870389 +915 333 3 891031450 +885 821 3 885713585 +409 45 4 881168603 +373 632 3 877106233 +720 316 4 891263387 +447 175 3 878855847 +331 160 5 877196702 +805 558 5 881695243 +761 1272 1 876190160 +445 327 2 891035830 +592 246 5 882608500 +645 214 4 892054570 +493 678 3 884129979 +566 1065 5 881650709 +871 270 5 888192858 +496 94 1 876070975 +817 597 2 874816007 +711 416 3 879995215 +7 318 5 891352010 +711 250 2 876185855 +454 942 2 888267198 +697 325 4 882621673 +749 72 3 878850388 +645 708 3 892055072 +906 276 5 879435299 +541 474 5 884047153 +659 43 4 891385955 +566 411 4 881651013 +840 483 5 891208703 +222 265 3 878182279 +727 597 3 883709641 +749 402 4 878849829 +805 50 4 879971214 +763 168 5 878919055 +749 1263 2 878850533 +592 245 1 882607434 +770 988 3 875971703 +682 558 1 888519276 +758 448 4 881978805 +766 50 4 891309053 +620 100 1 889987073 +618 90 1 891309351 +464 292 5 878354722 +790 550 4 885156618 +642 932 5 885605866 +932 225 2 891251985 +933 405 3 874939157 +524 385 3 884636453 +833 923 5 875039153 +102 4 2 888801522 +500 1195 4 883875468 +708 269 3 892718875 +782 251 3 891500109 +835 421 4 891034023 +253 132 5 891628416 +332 568 4 888098151 +608 306 4 880402983 +911 272 4 892838135 +63 269 3 875746948 +784 323 4 891387704 +715 4 4 875964300 +18 8 5 880130802 +864 596 4 888890001 +903 515 4 891031178 +915 268 5 891031477 +622 934 2 882591726 +582 932 2 882963114 +160 157 5 876858346 +807 234 3 892530216 +314 540 3 877890407 +918 514 2 891987082 +561 230 3 885809426 +815 57 5 878694854 +870 22 4 875680165 +706 410 4 880997444 +727 211 4 883710464 +569 14 4 879793948 +715 257 4 875962423 +894 1658 4 882404137 +913 156 3 880824512 +627 947 3 879531301 +487 197 3 883446404 +650 431 3 891369620 +652 333 4 882566857 +416 875 2 876696938 +897 238 4 879990779 +864 1412 1 888892461 +847 1137 5 878775404 +592 222 1 882608145 +844 597 3 877382339 +533 660 5 882902988 +683 322 2 893283903 +554 95 4 876550526 +804 322 5 879440700 +748 194 4 879454773 +808 288 3 883949454 +345 462 5 884901637 +913 79 4 880758974 +903 820 4 891031768 +738 222 4 875350913 +249 92 5 879572567 +790 1244 1 884462598 +911 484 3 892839363 +286 81 3 889652601 +394 577 2 881059704 +802 674 2 875985768 +741 582 3 891456156 +4 358 2 892004275 +666 546 4 880313640 +665 756 3 884292654 +332 411 4 887938738 +936 137 4 886832544 +744 188 3 881170528 +899 204 4 884121683 +763 357 4 878919116 +851 71 4 875731567 +804 443 5 879442122 +308 179 4 887736584 +808 312 3 883949873 +847 1012 1 878775729 +704 435 4 891397058 +889 1113 5 880182295 +922 159 3 891447853 +545 380 3 884134628 +781 181 5 879634318 +747 584 5 888640524 +796 1036 4 893219522 +416 491 4 886316596 +943 423 3 888639231 +417 651 4 879648212 +883 403 5 891696999 +774 569 2 888557857 +710 432 5 882064434 +493 186 5 884131897 +770 50 3 875971949 +326 500 3 879875644 +619 27 4 885954159 +804 25 4 879442490 +425 672 2 878738887 +296 9 4 884196523 +709 541 3 879848695 +867 176 3 880079094 +503 546 4 879438685 +933 385 3 874939207 +128 506 4 879968125 +840 163 4 891204295 +919 756 3 875289170 +382 59 5 875947049 +770 14 5 875972024 +387 1187 4 886480623 +610 98 5 888702902 +908 427 5 879722642 +724 313 5 883756996 +929 318 4 879640225 +894 1048 4 880993661 +918 382 4 891986846 +800 222 4 887646226 +429 176 3 882385542 +881 530 5 876538571 +194 515 4 879524216 +655 121 3 887651060 +802 448 3 875985686 +807 610 3 892684802 +851 406 2 875731674 +580 50 5 884124927 +748 175 5 879455019 +387 179 5 886484336 +911 399 5 892840120 +755 322 3 882569912 +645 174 4 892053518 +388 328 4 886439561 +846 949 2 883949643 +804 91 4 879442192 +453 575 2 892447163 +639 1193 4 891239702 +373 459 4 877106966 +886 66 3 876032442 +731 14 3 886179040 +756 183 4 874831383 +899 238 2 884121424 +916 33 2 880845135 +782 1127 2 891497793 +569 124 5 879793886 +239 507 5 889180651 +698 709 4 886367065 +890 211 2 882915661 +239 276 5 889179506 +523 67 4 883702654 +892 820 3 886611079 +880 42 5 880174808 +901 395 3 877131500 +783 948 3 884326726 +279 431 4 875310303 +622 195 5 882591938 +402 710 2 876267206 +773 790 3 888539825 +751 174 4 889133012 +715 564 2 875964300 +813 680 2 883752660 +897 616 5 879990877 +889 1073 5 880179893 +727 1215 2 883713521 +671 550 3 884035406 +561 235 3 885809806 +815 136 5 878695311 +437 475 3 880140288 +374 693 5 880396359 +533 402 4 888845284 +279 461 3 875306820 +473 20 3 878157568 +475 258 1 891451205 +549 121 4 881672461 +567 490 4 882425673 +497 141 3 879363611 +712 395 4 874957005 +796 500 4 892761629 +872 328 4 888478822 +109 228 5 880577604 +379 663 3 891674403 +163 316 5 891219976 +592 1275 3 882956624 +692 523 3 876953204 +487 98 5 883446637 +915 307 3 891030032 +452 15 4 875275763 +712 423 3 874729960 +425 301 4 890346705 +664 186 5 876526052 +469 603 5 879524376 +429 1101 5 882385399 +506 31 4 874873247 +682 88 4 888521599 +588 326 4 890014782 +346 96 5 874948252 +113 299 5 875076986 +639 204 3 891240751 +349 291 3 879465934 +805 625 3 881695560 +745 96 4 880123399 +289 455 4 876790464 +943 943 5 888639614 +437 716 5 881002345 +910 257 3 880821349 +844 121 3 877382055 +457 135 5 882397240 +880 176 5 880167731 +796 153 5 892676155 +536 191 4 882360187 +807 627 4 892684456 +416 103 3 886320119 +321 479 4 879438607 +833 67 3 875134891 +659 86 5 891386071 +639 580 2 891239581 +891 933 3 883429998 +532 982 3 888631077 +250 154 4 878090114 +846 76 4 883949200 +438 257 4 879868159 +764 255 4 876244181 +727 779 2 883712717 +642 140 3 886569257 +497 769 3 879362430 +234 465 2 892334803 +507 751 5 889964162 +682 781 2 888521833 +305 462 5 886323525 +416 218 3 876699488 +308 709 3 887737334 +746 568 4 885075211 +429 226 3 882386145 +286 348 4 889651179 +939 222 5 880260956 +18 633 5 880131358 +804 191 4 879442025 +551 770 2 892778244 +912 14 5 875966927 +795 189 3 881265284 +878 225 3 880870765 +716 605 3 879796215 +805 118 3 881695745 +800 25 4 887646980 +923 273 5 880387474 +524 239 2 884636498 +577 202 4 880474787 +788 729 4 880870052 +141 249 2 884585386 +711 172 5 879992445 +671 184 3 884035775 +534 717 5 877808198 +756 1074 4 874831383 +933 21 1 874854383 +939 1023 4 880262057 +151 423 4 879528570 +758 134 5 881975005 +769 121 4 885423865 +854 458 3 882812826 +444 269 4 891979402 +807 141 3 892684576 +650 719 3 891387833 +200 204 5 884128822 +441 338 4 891035289 +370 523 3 879434999 +835 210 5 891033303 +648 21 3 882212609 +708 319 5 892719062 +911 82 2 892840888 +747 357 5 888638876 +494 358 3 879540901 +627 77 2 879530305 +673 300 3 888786942 +668 137 3 881605093 +774 273 1 888558539 +777 509 4 875980449 +805 202 2 881696729 +551 640 4 892783750 +839 455 4 875752107 +590 248 4 879439645 +894 256 3 879896704 +907 42 4 880159957 +747 1205 3 888639594 +681 1105 3 885409742 +927 393 5 879193732 +831 713 5 891354970 +92 708 4 875654432 +42 141 3 881109059 +456 480 4 881373573 +795 552 2 883774317 +650 88 3 891384226 +601 483 4 876348782 +854 96 3 882814467 +804 127 3 879440947 +577 317 5 880474871 +249 69 5 879572600 +268 1208 2 875745398 +659 90 2 891386577 +298 356 3 884182627 +924 211 3 885457891 +533 135 3 879191022 +758 116 5 881976289 +924 285 4 884371386 +450 273 3 882377726 +128 458 4 879968921 +650 809 3 891383926 +669 208 2 891517215 +862 416 3 879305351 +595 845 3 886921448 +766 474 5 891309011 +717 269 5 884642133 +618 679 1 891308615 +624 979 4 879793511 +624 619 3 879793408 +548 950 4 891415643 +788 755 3 880870881 +782 302 3 891497698 +378 1221 3 880056351 +682 95 5 888523581 +387 718 4 886480206 +916 221 4 880843594 +21 990 2 874951039 +613 50 5 891227365 +527 174 4 879455847 +479 203 3 879460893 +870 658 4 875679992 +130 802 5 876252136 +495 211 5 888633194 +708 845 5 892719269 +655 910 3 889458990 +85 186 3 879454273 +882 50 5 879867694 +268 765 2 875743979 +904 278 5 879735616 +624 546 3 879793093 +870 856 3 879715002 +540 13 4 882157585 +653 659 1 880150330 +786 655 4 882843683 +371 73 5 880435397 +693 161 3 875484089 +201 924 3 884140751 +747 493 5 888734012 +648 565 3 884883679 +532 12 5 893119491 +878 204 2 880869911 +297 946 2 875239092 +757 328 3 888469286 +239 133 3 889178652 +417 230 3 879647850 +702 350 1 885767336 +640 315 5 886353894 +500 328 3 883864749 +889 818 4 880177540 +807 135 5 892705362 +666 479 4 880139642 +838 22 4 887065878 +527 179 3 879456587 +772 322 4 877533546 +854 283 3 882812492 +789 742 3 880332400 +488 97 4 891293863 +270 566 5 876955939 +120 508 2 889490979 +880 316 5 892958128 +843 860 3 879443443 +709 183 5 879846590 +831 603 5 891354535 +755 880 4 882569732 +253 168 3 891628278 +450 76 3 882395913 +94 637 3 891723186 +280 405 2 891700963 +848 971 5 887043421 +409 211 4 881108829 +445 272 3 890988205 +417 188 4 879647232 +84 100 4 883452155 +727 520 4 883710288 +892 1224 4 886609792 +387 243 1 886484460 +591 70 4 891031321 +763 1129 4 878918908 +815 391 2 878697734 +554 526 4 876550100 +586 1090 3 884065797 +738 235 2 875350764 +870 431 3 885586224 +592 276 5 882608401 +296 13 3 884196665 +693 507 4 875484837 +405 1412 1 885549005 +488 322 3 891293009 +796 298 5 892660954 +919 564 2 875373770 +632 133 4 879457064 +627 628 4 879530501 +194 167 2 879549900 +805 522 5 881698095 +683 132 5 893286207 +603 988 4 891956529 +650 528 3 891370998 +805 164 3 881695293 +15 297 3 879455606 +51 692 3 883498685 +880 1664 4 892958799 +643 685 3 891445354 +853 294 2 879365035 +450 492 5 882397049 +482 243 2 887644023 +524 194 4 884634646 +592 70 4 882956803 +902 300 4 879463373 +123 288 3 879809053 +900 186 2 877833957 +747 695 2 888733111 +846 810 3 883950434 +52 282 4 882922302 +758 571 4 882054936 +600 1239 2 888452564 +1 124 5 875071484 +880 2 3 880167732 +758 650 5 881979419 +409 1346 3 881168711 +46 748 5 883614645 +690 1210 3 881180035 +711 923 5 879993629 +440 883 5 891550404 +749 609 4 881073104 +802 196 3 875985239 +327 228 4 887820171 +875 50 5 876465370 +672 874 4 879787643 +442 121 2 883390544 +829 515 4 881698803 +743 294 2 881277656 +934 432 5 891191976 +902 483 4 879465448 +454 8 5 888266643 +788 1478 3 880871173 +853 1280 4 879365091 +387 28 5 886483939 +786 195 4 882843312 +818 875 1 891870590 +468 89 4 875291722 +804 526 4 879442792 +666 654 5 880139382 +919 1278 4 875289761 +730 181 2 880310465 +524 700 5 884637246 +828 45 4 891380166 +533 554 1 879191691 +864 114 5 888888168 +741 180 4 891457855 +756 91 3 874830954 +458 56 5 886397679 +922 184 3 891449901 +92 998 2 875907649 +731 481 3 886182456 +583 519 5 879384338 +194 1112 3 879527999 +933 4 3 874854383 +566 742 3 881650627 +655 914 3 891817471 +339 187 5 891032700 +892 321 5 886610341 +738 228 5 875350316 +815 154 5 878694453 +671 89 5 884035406 +222 249 1 883815768 +875 654 4 876465230 +845 690 5 885409719 +682 362 2 888518251 +886 1048 4 876032840 +942 514 4 891283069 +479 609 5 879461951 +393 724 3 889729159 +883 647 5 891717319 +429 1220 3 882387233 +399 82 3 882344512 +748 187 4 879454958 +119 316 4 890626706 +474 137 5 887915188 +932 131 4 891250525 +398 610 4 875745631 +318 809 4 884498210 +758 173 5 881975182 +655 246 3 887474020 +749 58 3 878847988 +748 527 5 879454749 +407 67 1 876339975 +896 696 1 887235027 +757 198 4 888445864 +778 8 1 891234406 +561 178 4 885807713 +847 239 5 878940688 +653 286 4 884405346 +912 152 4 875966320 +719 71 3 883354106 +754 243 1 879451163 +476 268 4 883365503 +800 223 5 887646979 +506 657 5 874873745 +582 841 2 882962133 +589 338 3 883352654 +303 46 3 879467706 +360 258 4 880353585 +782 908 3 891498322 +313 631 2 891014313 +342 249 3 874984661 +925 332 4 884717404 +773 233 1 888540112 +37 831 2 880915607 +871 813 3 888193136 +716 511 5 879795542 +459 50 4 879563064 +928 878 5 880936022 +747 318 5 888732899 +94 47 5 891720498 +449 639 5 880410700 +815 95 3 878693381 +836 318 5 885754172 +561 156 4 885807484 +717 326 3 884641621 +374 597 4 880393460 +851 342 2 888540205 +587 301 3 892871197 +645 496 3 892053686 +774 194 3 888555998 +927 449 4 879196230 +354 65 4 891218046 +148 133 5 877019251 +755 245 4 882569881 +407 134 5 875042569 +934 384 4 891195573 +930 405 3 879534803 +693 88 3 883975500 +758 228 3 881977021 +716 69 5 879795188 +805 559 3 881695347 +932 648 5 891249903 +669 181 5 892549390 +727 89 5 883711298 +748 137 3 879454958 +699 304 4 880695431 +880 948 4 880166662 +669 514 3 892550215 +896 22 5 887157947 +42 181 5 881107291 +897 136 5 879990843 +498 423 3 881957267 +883 176 4 891696895 +843 188 2 879444767 +782 1537 3 891500066 +314 41 5 877887802 +561 233 1 885809246 +392 1226 4 891038288 +592 22 5 882955506 +523 255 5 883700144 +747 187 5 888639318 +741 92 3 891456427 +880 412 3 880167306 +638 117 4 876694995 +715 96 4 875963538 +787 937 3 888979074 +886 589 3 876031365 +908 434 4 879723128 +887 421 5 881379954 +501 108 4 883348564 +804 176 4 879441702 +543 1073 3 874863269 +795 152 4 881260622 +13 799 4 882139937 +696 124 5 886404617 +543 23 4 874864183 +276 248 4 882659269 +727 397 2 883712780 +798 110 4 875914458 +791 259 3 879448087 +825 619 4 880756834 +630 125 3 885666875 +887 946 4 881381348 +753 357 4 891401901 +450 750 3 884098229 +653 219 1 880152780 +1 95 4 875072303 +279 191 3 875734031 +642 186 5 885602739 +927 237 4 879177508 +785 886 3 879438591 +25 134 4 885852008 +758 241 3 881977109 +3 336 1 889237198 +846 26 4 883949335 +330 422 4 876547853 +807 566 4 892528999 +774 526 4 888556600 +880 293 4 880166872 +797 748 1 879439105 +865 328 3 880142857 +664 173 4 876525963 +807 181 5 892528954 +259 271 3 888721050 +449 274 2 879959003 +916 9 5 880843378 +746 161 3 885075304 +291 50 5 874805860 +706 9 3 880997105 +484 226 4 891195390 +804 1140 3 879446276 +10 180 5 877889333 +236 526 3 890116500 +213 154 5 878956101 +504 356 4 887840098 +907 696 5 880159081 +806 258 3 882384589 +543 177 4 877545356 +812 881 4 877625537 +871 127 5 888193081 +871 575 5 888192909 +763 382 5 878922829 +675 896 5 889488575 +710 886 3 882063528 +747 959 5 888733144 +896 569 2 887161488 +188 356 4 875074200 +605 79 5 879425432 +481 8 3 885828245 +795 550 3 883252004 +222 738 3 878182959 +162 474 3 877636556 +354 676 5 891216788 +912 56 2 875966027 +774 679 5 888557383 +762 815 1 878719406 +555 258 3 879962096 +741 480 5 891457855 +322 9 4 887314212 +907 248 5 880159038 +551 280 3 892778337 +766 69 4 891309668 +130 1220 5 876252343 +864 1101 4 888887502 +741 660 3 891040362 +758 28 4 881975990 +870 194 3 875679795 +890 403 1 882915661 +535 258 5 879619286 +889 171 4 880177970 +883 355 5 891692168 +899 284 3 884120205 +349 106 1 879466283 +234 495 4 892335042 +852 681 4 891036414 +889 649 2 880178511 +528 845 3 886812857 +673 12 4 888787587 +313 210 4 891014898 +657 269 5 884238002 +548 15 2 891415854 +391 705 5 877399133 +551 64 5 892776380 +450 1311 4 887139844 +330 443 4 876546377 +650 193 3 891382901 +713 270 2 888882179 +758 124 5 884999132 +533 242 4 884698095 +864 62 4 888889035 +406 563 1 879792975 +906 273 4 879434882 +796 161 5 893048377 +597 289 5 875338983 +298 742 3 884125553 +532 1300 3 888632446 +12 88 5 879960826 +538 162 3 877363863 +932 98 5 891249586 +880 720 2 880167965 +497 176 4 879310762 +597 294 4 875339083 +798 451 2 875638547 +184 318 5 889908571 +593 417 5 875671598 +682 823 2 888522613 +815 423 5 878694613 +852 274 3 891036369 +672 321 4 879787518 +774 659 3 888555864 +592 1011 4 882608699 +502 263 1 883702448 +773 940 2 888539766 +790 151 4 884461988 +658 475 4 875145667 +614 14 3 879464093 +429 228 2 882386485 +409 116 4 881107117 +854 23 4 882813647 +457 13 3 882393883 +796 586 3 893049257 +95 566 2 879196594 +408 334 2 889679901 +883 8 4 891694249 +447 716 2 878856573 +749 68 4 878849612 +498 181 2 881955014 +59 24 4 888203579 +580 619 3 884125175 +854 324 3 882811937 +398 603 4 875721548 +122 86 5 879270458 +886 623 1 876033069 +622 506 3 882670139 +778 144 4 890670638 +399 560 3 882352404 +348 151 3 886523456 +406 150 4 879446748 +435 405 4 884132540 +712 172 5 874729901 +502 313 4 883701792 +642 407 5 885606482 +582 125 3 882961632 +894 1462 3 882404642 +199 751 3 883782557 +733 283 3 879535368 +668 328 4 881523787 +759 405 4 881476969 +727 240 3 883709607 +497 123 3 879361727 +447 223 5 878856394 +45 845 4 881011188 +758 384 5 881979788 +11 88 3 891905003 +738 47 3 875353569 +620 676 3 889987190 +72 1 4 880035614 +779 258 5 875501254 +805 229 2 881694885 +189 511 4 893265349 +588 210 4 890015500 +267 157 5 878971874 +771 15 5 880659303 +870 96 4 879270357 +782 992 2 891499370 +673 528 5 888787587 +865 121 1 880144024 +568 303 4 877906697 +225 482 5 879540707 +268 144 4 875744106 +892 229 3 886610011 +867 657 5 880078769 +864 202 5 888887354 +796 747 4 893047167 +499 898 4 885597901 +801 301 5 890332820 +796 180 2 892675606 +774 510 2 888556484 +363 148 3 891497439 +659 257 2 891044849 +738 568 3 875350485 +458 527 2 886397857 +222 457 1 878181287 +806 952 2 882385578 +201 29 3 884141053 +534 125 3 877807816 +804 831 3 879443852 +368 447 1 889783453 +864 29 4 888891794 +894 1251 4 879896654 +316 127 2 880853548 +870 6 4 875680311 +804 71 4 879442538 +308 47 4 887738933 +783 300 4 884326348 +886 1170 3 876031481 +416 924 5 893212623 +881 400 2 876539128 +640 926 3 886474913 +532 1136 2 888636558 +265 815 3 875320424 +805 709 4 881696699 +543 357 4 874863803 +437 200 4 880140398 +896 770 5 887160702 +784 258 5 891387249 +782 1144 3 891499243 +934 2 4 891192087 +936 9 4 886832373 +805 323 5 879971214 +804 282 4 879444714 +727 168 5 883710152 +763 941 3 878915958 +918 962 4 891988029 +189 659 4 893265796 +108 281 4 879879985 +437 189 2 881001946 +864 106 3 877214236 +712 794 4 874957243 +913 173 5 880826542 +782 358 4 891498641 +757 230 4 888466614 +769 111 5 885424001 +882 1444 4 879877245 +921 1032 5 879381199 +751 238 3 889297524 +766 1021 2 891309011 +921 133 5 884673843 +897 465 5 879992030 +201 201 4 884112537 +682 395 3 888523657 +643 665 3 891449930 +457 1047 2 882395964 +308 1147 4 887738387 +754 922 3 879452073 +541 111 1 884645883 +154 185 5 879139002 +912 168 5 875966107 +875 258 4 876464694 +393 282 4 887744053 +724 995 1 883757597 +936 116 4 886832636 +627 655 4 879530536 +870 959 4 875680046 +643 246 5 891445312 +734 479 4 891025541 +805 190 5 881694423 +143 258 3 888407586 +642 117 4 886131655 +942 303 4 891282477 +112 258 3 884992484 +274 744 5 878945678 +753 657 5 891401665 +806 222 4 882385563 +749 271 5 879788762 +752 302 5 891208451 +877 333 4 882676259 +751 310 3 887134816 +934 145 3 891196610 +824 288 3 877020927 +887 1413 4 881380176 +406 285 5 879792811 +816 687 2 891711554 +919 676 4 875289061 +897 840 3 879993887 +766 28 5 891309668 +271 100 5 885847738 +712 67 3 874957086 +7 265 5 891350845 +717 148 3 884642958 +764 275 4 876242851 +747 333 4 888638335 +51 705 1 883498756 +381 120 1 892696587 +847 301 5 878774832 +13 767 1 882397011 +586 217 5 884061084 +796 293 5 892660251 +496 168 3 876065324 +854 100 5 882812225 +932 778 4 891251272 +733 13 3 879535694 +758 425 5 881977337 +7 275 4 891352831 +402 168 5 876267206 +269 1074 1 891448697 +890 214 4 882916588 +308 1074 3 887741271 +815 158 2 878695645 +730 322 1 880310202 +804 199 5 879442239 +642 795 4 886570173 +675 303 5 889488522 +189 588 4 893266105 +850 28 5 883195214 +913 741 4 881037004 +709 318 5 879846210 +537 184 3 886032246 +815 203 4 878696650 +505 97 4 889333676 +848 214 5 887048573 +880 99 3 880241219 +279 1288 4 891209077 +650 928 2 891370093 +797 990 2 879439456 +447 274 1 878854552 +933 241 2 874855069 +746 82 4 885075337 +455 662 4 879111554 +429 772 3 882386508 +786 111 5 882841667 +379 709 5 880526032 +927 158 2 879198608 +130 96 5 875216786 +692 194 4 876953340 +893 849 3 874830372 +740 328 3 879522814 +345 54 3 884993506 +525 676 2 881086518 +802 304 3 875985142 +913 216 4 881725796 +641 23 5 879370364 +342 89 3 875319090 +608 507 3 880403899 +634 323 4 875729217 +807 699 4 892528515 +868 90 3 877109874 +724 258 4 883757537 +504 382 4 887839709 +901 523 4 877132400 +764 1284 3 876244529 +442 1170 4 883388909 +892 615 5 886609029 +903 529 4 891033278 +326 447 4 879877388 +727 90 3 883711991 +629 288 4 880116722 +887 969 5 881379954 +393 304 4 887742110 +386 118 3 877655085 +843 667 2 879443597 +934 949 3 891197678 +354 165 4 891217755 +796 22 4 892662523 +826 99 3 885690379 +516 204 4 891290649 +805 866 1 881705412 +889 151 3 880177016 +450 1249 3 882812821 +640 540 3 874778479 +796 230 5 893048377 +932 274 5 891250704 +825 827 4 881184695 +921 934 3 879380496 +798 143 5 875639061 +901 250 3 877127196 +497 216 3 879310399 +923 334 5 880387129 +128 462 4 879966729 +738 168 3 875353869 +749 635 1 878850703 +790 405 3 884461925 +650 235 3 891388080 +534 25 5 877807845 +748 709 4 879454546 +836 56 4 885754096 +503 1009 2 884638911 +741 17 2 891455711 +389 664 4 880088290 +523 179 3 883703495 +330 284 5 876544311 +864 317 4 888887128 +723 258 4 880498768 +766 265 3 891309357 +865 117 2 880143746 +450 1107 4 887138957 +854 264 1 882811888 +943 124 3 875501995 +459 98 5 879564941 +911 969 5 892840807 +670 191 4 877975731 +756 1060 4 874831383 +847 96 4 878940301 +758 355 4 888461050 +332 173 5 888360092 +503 221 5 879438377 +697 343 4 882621548 +838 289 5 887061035 +727 164 5 883711497 +387 551 2 886481800 +916 186 3 880844175 +756 591 4 874829924 +833 656 4 875123536 +629 273 2 880117001 +385 488 5 879441599 +868 187 4 877107284 +618 709 2 891308665 +652 125 2 882567383 +1 217 3 876892676 +694 163 4 875729982 +326 90 1 879877198 +234 148 3 891228196 +655 930 2 887429812 +60 1122 5 883326498 +347 1011 3 881653155 +752 307 5 891208451 +328 751 3 885596088 +467 293 4 879532385 +521 679 3 884478515 +758 39 2 881974931 +57 195 3 883698431 +716 134 5 879795314 +757 550 3 888445820 +308 180 5 887737997 +851 748 3 874788804 +758 31 3 881977872 +746 64 4 885075790 +712 50 4 874729750 +868 410 3 877104414 +601 178 4 876348526 +617 423 1 883789294 +341 908 3 890758080 +327 778 3 887819462 +291 97 4 875087264 +577 403 4 880475187 +12 238 5 879960826 +798 996 3 875638717 +886 179 2 876032673 +374 179 1 880395575 +567 96 4 882427155 +473 1143 4 878157242 +572 222 2 879449763 +780 659 4 891363756 +606 118 4 878143785 +488 153 2 891293974 +476 780 3 883365274 +576 208 3 886986445 +680 242 4 876815942 +637 282 3 882903250 +733 258 3 879535011 +796 106 2 893194895 +938 717 2 891357060 +106 100 3 881449487 +848 517 5 887043514 +429 358 3 882387053 +864 286 5 890463283 +526 302 5 885681860 +717 24 2 884642297 +894 258 4 879896109 +839 742 3 875752200 +450 260 2 889568753 +406 806 4 879446748 +463 539 1 889936753 +512 1238 4 888578602 +599 278 3 880953441 +417 663 3 879647040 +58 134 5 884304766 +268 127 4 875309945 +314 1145 4 877892488 +673 286 4 888787508 +617 234 3 883789464 +899 50 5 884119794 +885 71 4 885714820 +726 898 2 889829235 +532 8 5 893119415 +749 300 4 878846365 +790 402 2 885156796 +455 942 4 879112011 +655 963 3 888475015 +294 257 3 877819599 +653 679 2 880153406 +804 824 3 879444133 +442 181 4 883390416 +830 449 2 891899475 +339 1240 5 891033855 +92 558 3 875906765 +882 172 5 879864970 +286 1060 5 889652989 +796 467 3 892675654 +497 151 3 879363510 +788 132 5 880869014 +798 400 3 876176160 +470 305 4 879178257 +796 831 2 893049303 +833 122 2 875135058 +786 176 4 882843069 +602 259 4 888638160 +851 330 3 884205246 +526 260 1 885681982 +570 271 4 881262256 +934 663 5 891192849 +607 137 4 883879556 +788 582 4 880869396 +233 528 5 877665324 +899 658 2 884121911 +840 671 3 891204891 +846 59 4 883948457 +496 155 1 876070859 +889 235 3 880177648 +934 605 4 891195288 +159 125 5 880557192 +780 385 4 891364125 +406 130 3 879540147 +774 178 4 888556483 +467 127 5 879532478 +419 174 5 879435628 +622 625 3 882671120 +653 293 3 886051879 +918 495 3 891987689 +641 657 4 879370062 +592 9 5 882608182 +503 190 5 880383030 +892 570 3 886610566 +709 97 5 879846784 +711 433 4 879992994 +901 443 3 877287910 +932 218 3 891250915 +385 497 5 879443186 +138 474 5 879024327 +585 855 3 891284184 +162 55 3 877636713 +727 250 5 883709242 +787 258 5 888979605 +83 127 4 887665549 +463 591 4 877385590 +901 419 5 877131763 +650 117 4 891370852 +594 221 4 874781207 +936 475 5 886832282 +95 855 3 888954609 +487 568 4 883446322 +492 650 2 879969644 +490 1383 1 875428417 +883 693 4 891717988 +807 550 5 892979747 +239 463 5 889178689 +727 219 3 883712476 +751 313 2 889727869 +860 272 3 885145344 +655 223 3 887473856 +937 301 1 876768812 +192 269 3 881366436 +436 747 5 887770640 +796 432 2 893218728 +871 794 3 888193541 +705 142 2 883427932 +882 118 4 879863031 +940 628 4 885921800 +863 262 3 889289618 +655 220 2 887426583 +776 282 3 892313246 +934 56 5 891191922 +390 754 4 879693561 +894 1501 4 882404363 +828 327 4 891033756 +705 597 4 883427339 +271 178 3 885849087 +624 1289 3 879793093 +851 841 3 875730757 +557 165 5 881179653 +303 1228 2 879543459 +387 531 3 886479528 +647 1263 3 876776321 +417 405 3 879646531 +781 289 3 879633862 +718 121 4 883348773 +405 425 2 885546112 +279 1070 3 875309760 +790 250 5 885158562 +875 64 5 876465275 +393 560 3 889728584 +846 404 4 883949046 +698 479 2 886368545 +159 293 4 880485879 +210 121 4 887737244 +804 415 3 879446391 +592 680 1 882607690 +650 135 4 891381545 +144 58 3 888105548 +648 713 2 884795447 +880 770 4 880167880 +936 268 4 886831415 +504 834 2 887911059 +654 87 4 887864471 +595 111 4 886921496 +342 114 5 875318962 +621 2 3 880739909 +479 32 3 879461354 +655 741 3 887426201 +760 873 4 875665908 +655 218 3 887523477 +277 100 4 879543421 +457 210 5 882397337 +763 432 5 878922982 +145 1033 1 875270903 +374 1322 3 880394000 +764 64 5 876244991 +846 732 4 883948840 +243 26 3 879988459 +634 281 4 877017829 +437 153 5 881001888 +588 542 3 890026787 +476 451 3 883364475 +747 462 5 888639272 +498 190 4 881956203 +815 419 3 878695490 +795 231 4 883254844 +95 739 3 880572689 +340 95 5 884991083 +613 318 5 891227299 +711 380 3 879993959 +889 232 3 880182270 +145 226 1 875272196 +766 630 3 891310772 +796 250 5 892660984 +871 183 3 888193177 +672 515 5 879787812 +168 273 4 884287509 +823 100 5 878437658 +897 68 5 879994113 +900 618 4 877833957 +810 338 4 891873660 +193 715 3 890860076 +506 705 5 878044851 +130 820 5 876251312 +826 91 4 885690342 +702 688 1 885767629 +506 174 5 874873157 +363 302 5 891493571 +938 15 2 891356615 +694 318 5 875727099 +804 7 4 879443673 +940 300 5 884801316 +536 80 2 882360802 +907 98 5 880160037 +710 656 5 882064321 +806 789 4 882389319 +774 94 2 888556248 +450 1197 3 882395662 +778 79 3 890725776 +739 498 4 886958939 +330 423 5 876545971 +789 248 3 880332148 +562 50 5 879196445 +173 262 4 877556864 +493 89 4 884130933 +826 1 4 885690250 +890 1149 5 883009400 +199 243 1 883782636 +825 687 5 882109250 +425 233 2 878738643 +487 1314 1 883530929 +666 64 4 880139120 +122 127 5 879270424 +256 977 4 882154058 +555 319 5 879962096 +234 513 5 892333980 +747 529 5 888640099 +758 1074 1 882054297 +429 999 2 882387163 +416 282 5 893213796 +314 1 5 877886317 +625 176 4 891263960 +821 121 3 874792752 +62 1133 4 879376332 +592 568 5 882956201 +552 121 4 879222698 +524 739 2 884637128 +882 566 4 879876806 +899 157 4 884122419 +846 29 2 883949508 +649 121 2 891440214 +406 709 5 880131642 +437 139 3 881001576 +2 288 3 888550252 +848 650 4 887037822 +285 185 3 890595859 +842 313 4 891217891 +731 485 4 886187414 +568 653 4 877907877 +534 1215 3 877808120 +109 175 1 880577734 +621 783 3 874963273 +328 498 5 885046654 +761 123 3 876190160 +747 1497 4 888732538 +795 319 4 880554132 +896 405 2 887160270 +169 606 5 891359137 +802 379 4 875985976 +726 833 5 889832807 +456 289 4 881372687 +95 62 4 879196354 +737 192 5 884314970 +728 1355 4 879443265 +723 172 4 880498890 +203 477 4 880434755 +606 591 3 880923349 +486 289 3 879874262 +460 1011 4 882912205 +870 810 3 879714883 +804 720 3 879445072 +880 128 3 880167806 +59 285 4 888202941 +770 813 5 875971850 +867 431 4 880078841 +291 747 4 875087290 +374 1093 2 883627582 +346 515 5 874948890 +883 748 5 891692168 +276 109 4 874786686 +452 275 4 875264491 +716 121 5 879794116 +846 127 5 883947911 +407 708 3 876344712 +761 458 1 876190623 +189 531 3 893265327 +682 1225 4 888521783 +499 165 5 885598961 +772 315 5 889028363 +339 504 5 891032255 +936 1097 5 886833795 +164 826 4 889402340 +561 88 2 885810769 +943 94 4 888639929 +919 1277 4 875289887 +715 208 3 875963836 +921 96 4 879380656 +831 354 4 891354063 +728 237 4 879443155 +593 977 3 875660215 +802 681 4 875986155 +600 720 3 888452151 +936 1007 5 886833795 +894 306 4 879896756 +655 1174 3 887523477 +485 242 5 891040423 +839 93 4 875752056 +766 605 3 891310650 +659 705 5 891383561 +45 181 4 881010742 +533 393 4 879192069 +881 323 2 879051487 +671 810 2 884036050 +712 376 3 874956903 +730 269 5 880309870 +932 676 4 891251738 +279 449 3 875312378 +654 118 2 887863914 +234 661 5 892333573 +939 326 5 880260636 +757 96 4 888466461 +144 235 1 888104715 +749 650 3 878848189 +452 265 3 887719158 +378 225 3 880045006 +661 756 3 876037089 +44 419 4 878348784 +796 553 4 893047208 +661 573 3 876036043 +901 89 3 877288929 +778 249 3 891233675 +622 434 4 882592523 +533 550 4 879439340 +671 838 3 884036365 +916 56 5 880844038 +555 50 5 879962152 +456 209 3 881372849 +853 877 2 879364882 +612 147 4 875324975 +727 552 2 883712751 +821 28 5 874793469 +655 650 3 887427009 +222 174 5 878181934 +409 171 4 881107084 +864 568 4 888888115 +90 1201 5 891383687 +535 709 5 879618925 +492 199 3 879969255 +496 1157 1 876070937 +243 1115 3 879987465 +733 1047 2 879536659 +608 479 5 880404636 +846 401 5 883949643 +497 946 4 879310021 +771 274 4 880659941 +554 735 3 876369162 +387 567 2 886481737 +813 310 4 883752290 +577 1054 3 880471823 +628 332 5 880777096 +95 49 3 879198604 +611 353 3 891636125 +497 433 3 878759806 +429 307 3 882384437 +417 210 3 879647749 +894 299 3 879896200 +234 367 4 892334976 +279 1224 3 878082804 +774 29 1 888557519 +871 549 3 888193541 +537 732 3 886031912 +587 307 4 892870992 +463 276 3 877385287 +177 327 3 880130467 +670 1099 3 877975018 +650 1135 2 891383977 +838 56 5 887066782 +663 210 3 889493818 +929 185 5 879640184 +843 485 2 879447007 +450 588 4 882376658 +747 162 5 888639594 +279 2 4 875313311 +244 276 5 880604234 +405 182 1 885545974 +618 693 3 891307540 +805 123 4 881695723 +44 523 4 878348784 +653 1478 2 880153705 +764 22 4 876245549 +617 855 3 883789294 +543 197 4 874866116 +830 204 3 891898551 +244 528 3 880606533 +940 9 3 885921687 +655 7 3 887425969 +450 546 4 887139019 +774 188 3 888557329 +674 255 4 887763012 +190 327 2 891033349 +648 167 4 884882407 +13 779 3 882398255 +611 311 4 891636073 +185 258 4 883526267 +303 484 5 879466966 +391 177 4 877398951 +719 890 1 879358395 +773 1069 4 888539559 +773 216 4 888539608 +233 647 5 877661364 +586 393 3 884066799 +484 566 4 891195416 +903 696 3 891031906 +407 154 5 875116964 +588 155 5 890026882 +592 1071 4 882956668 +483 510 3 878953751 +909 744 3 891920763 +111 307 2 891680243 +708 742 1 892719385 +779 926 4 875992442 +926 289 3 888636269 +471 393 5 889827918 +694 527 5 875727449 +826 233 4 885690713 +784 326 5 891387155 +7 415 2 891354438 +537 1194 3 886030584 +939 818 3 880262057 +455 716 3 879112259 +891 313 5 891638337 +618 550 3 891308261 +901 135 4 877131961 +627 402 3 879530866 +194 435 4 879520813 +133 286 2 890588524 +532 1199 3 874789155 +68 181 5 876973884 +541 73 4 883865693 +458 960 1 886397726 +877 328 2 882676366 +655 219 2 890497653 +75 117 4 884050164 +495 491 5 888632443 +291 125 4 874834019 +693 130 1 875483144 +862 928 4 879303542 +747 285 5 888732899 +929 32 3 880817818 +749 136 5 878849404 +916 578 1 880844985 +299 597 3 877880111 +782 1252 3 891500066 +867 64 5 880078547 +537 314 1 886029239 +758 536 2 880672747 +291 151 5 874833668 +561 462 3 885809246 +833 218 4 875124495 +425 1222 2 878738757 +650 29 2 891382877 +585 543 3 891284393 +247 58 4 893081396 +756 159 4 874829924 +181 473 2 878962919 +682 298 4 888518639 +299 856 3 889503334 +429 443 4 882385210 +923 763 4 880387908 +880 180 5 880241822 +682 583 2 888517587 +766 181 4 891309177 +586 177 3 884061343 +869 411 4 884492828 +650 100 4 891369954 +786 416 4 882843534 +774 182 4 888556398 +943 281 4 875502299 +932 459 4 891250944 +72 198 5 880037881 +829 509 5 881698976 +891 286 5 891638433 +104 222 3 888465319 +526 248 4 885682635 +812 289 1 877625461 +803 306 4 880054629 +290 566 3 880474388 +830 203 4 891898061 +840 949 4 891211530 +445 546 2 891200417 +564 127 4 888730974 +213 197 5 878955707 +798 49 4 875814021 +773 187 5 888539962 +916 217 4 880845282 +263 322 3 891297485 +835 186 4 891034285 +605 408 5 881016144 +99 276 2 885678973 +451 304 3 879012684 +588 729 3 890024488 +381 96 5 892697174 +840 640 3 891209242 +619 298 5 885953778 +424 990 5 880858979 +770 334 5 876597960 +936 1344 5 886832183 +778 82 3 890803491 +1 58 4 878542960 +797 1254 2 879439548 +756 289 4 874828027 +62 546 4 879373118 +851 1094 1 875730455 +645 435 4 892054364 +776 5 4 892920320 +207 428 4 877838826 +262 567 1 879795430 +610 133 4 888703648 +833 445 4 875123299 +886 715 1 876033434 +13 810 5 882398076 +790 664 3 885158235 +577 550 3 880475130 +738 636 3 875350944 +447 508 3 878854195 +823 478 4 878439113 +640 691 4 890014144 +766 432 3 891309250 +152 367 3 882475972 +379 526 4 880525031 +399 526 3 882343171 +504 181 3 887831773 +924 82 4 885458168 +836 603 5 885754029 +626 681 1 878771477 +880 117 4 880166872 +648 90 3 884882271 +642 398 2 886454837 +347 284 3 881652480 +276 425 4 874791101 +715 462 4 875963998 +790 1025 1 884461188 +311 135 4 884366617 +804 1291 3 879444115 +560 405 4 879976970 +629 277 5 880117459 +829 70 4 881699060 +379 175 5 880525108 +851 367 2 875731674 +881 195 4 876539636 +553 525 4 879949153 +405 357 5 885544974 +796 39 3 893048562 +896 27 1 887235026 +363 455 5 891496927 +840 134 3 891204160 +870 77 3 879714103 +780 318 5 891364124 +776 514 5 891628916 +921 395 3 879380908 +738 147 3 875350764 +872 742 4 888479171 +883 286 3 891691654 +807 82 4 892529278 +862 271 5 879302763 +344 69 2 884901093 +703 276 3 875242964 +601 479 4 876349358 +498 509 3 881955867 +308 637 3 887741108 +934 529 5 891194866 +567 433 4 882426673 +766 215 3 891309250 +429 816 2 882387474 +496 195 4 876065715 +934 97 4 891192329 +15 258 3 879455473 +373 153 5 877100354 +250 183 4 878091870 +933 508 3 874853927 +588 969 5 890023831 +916 732 3 880844862 +500 7 5 883865104 +921 369 1 879380328 +217 761 4 889070232 +704 69 3 891397441 +793 1365 2 875104718 +674 866 5 887763062 +807 570 4 893081426 +936 1279 3 886833360 +301 387 3 882078084 +889 50 4 880176807 +251 468 2 886271641 +267 1110 3 878973329 +588 268 5 890014648 +201 232 2 884112282 +780 474 3 891363723 +232 178 5 888549988 +165 326 5 879525672 +854 246 3 882812195 +919 85 2 875372947 +18 524 4 880129816 +682 219 2 888522857 +296 244 1 884196896 +650 389 3 891387571 +379 474 5 886317533 +200 288 5 884125846 +928 877 5 880936022 +878 474 5 880868819 +425 181 4 878738435 +595 50 5 886921112 +279 269 4 892865492 +664 98 4 876526462 +393 585 2 889731649 +406 70 3 879793295 +757 183 4 888445864 +894 886 3 879982820 +916 85 2 880845115 +840 526 4 891204971 +343 64 5 876405697 +727 183 3 883710186 +835 133 5 891033718 +305 60 3 886324097 +834 405 4 890862563 +643 186 4 891447663 +545 164 4 879899906 +629 92 4 880117163 +931 347 4 891035946 +389 489 4 879991115 +107 327 3 891264501 +699 473 3 880696344 +834 315 5 890860687 +254 457 2 886470931 +97 1126 3 884239687 +744 307 4 881171839 +802 185 3 875985601 +322 483 5 887314417 +713 315 4 888881988 +645 98 4 892053241 +666 760 3 880313789 +92 401 3 875907535 +747 842 5 888640916 +337 227 5 875185319 +463 1115 4 877385531 +555 328 4 879962096 +894 919 4 881625708 +469 168 4 879524006 +738 254 2 875349111 +524 22 3 884634731 +174 781 4 886513788 +864 577 3 888892917 +716 73 4 879797256 +773 181 5 888540020 +761 1163 2 876190752 +748 323 4 879454208 +694 144 4 875728912 +845 751 2 885409719 +802 326 5 875984637 +862 172 5 879304243 +660 122 1 891198996 +13 438 1 882397068 +496 496 1 876066424 +862 182 5 879304526 +622 419 4 882670009 +508 451 3 883777281 +747 182 5 888639272 +599 1357 2 880952905 +682 202 4 888521413 +807 211 4 892529448 +412 174 5 879716918 +453 227 3 888207162 +416 293 5 893213019 +661 631 3 886841831 +787 681 3 888979657 +894 855 4 882404460 +871 92 3 888193338 +735 319 4 876697647 +235 344 5 889654419 +610 203 4 888703749 +798 162 3 876177353 +727 100 2 883708830 +817 7 4 874815885 +316 988 1 880853152 +854 133 3 882814091 +929 182 4 879640225 +862 143 5 879304722 +311 443 3 884365718 +751 559 4 889298622 +474 654 5 887924469 +842 1105 2 891218353 +745 79 3 880123540 +802 331 4 875986155 +480 485 4 891208186 +148 189 4 877019698 +805 56 4 881694423 +622 1016 3 882591014 +881 51 5 876538889 +161 194 1 891171503 +342 150 3 874984531 +367 185 5 876689991 +806 257 4 882385394 +758 252 3 880672830 +540 269 4 882156584 +650 588 3 891372286 +494 329 3 879540819 +332 225 3 887938706 +899 197 4 884121512 +860 274 3 885991476 +144 1028 3 888104495 +95 73 4 879198161 +788 1126 5 880869278 +128 223 5 879966839 +660 786 1 891265453 +622 29 4 882592735 +851 1034 1 875731105 +550 237 3 883426119 +565 171 5 891037252 +194 715 3 879527263 +880 742 4 880166847 +863 910 2 889289570 +58 203 5 884305185 +587 262 4 892871069 +405 468 3 885544698 +561 943 3 885809197 +639 1005 2 891239813 +535 207 4 879618613 +923 338 4 880387172 +592 754 3 882607325 +207 517 3 882081278 +472 191 5 875980283 +718 744 3 883348824 +896 50 5 887159211 +687 321 4 884651818 +549 748 4 881671952 +837 294 4 875721502 +297 527 5 875239018 +268 1178 1 875743534 +892 393 4 886607679 +771 462 3 880659426 +349 619 4 879466000 +648 746 4 884881524 +5 163 5 879197864 +774 554 1 888557556 +481 181 5 885827974 +829 462 4 881698976 +501 222 4 883347919 +617 443 4 883788782 +178 471 4 882823930 +934 168 4 891191875 +437 182 2 880140432 +222 193 4 878182005 +846 1107 4 883950128 +807 546 4 892978966 +149 313 5 883512557 +815 417 5 878694664 +613 297 5 891227338 +901 521 2 877289241 +850 648 5 883195527 +749 127 4 881073104 +566 133 4 881649670 +474 1200 4 887927339 +846 388 3 883950950 +860 56 4 885990862 +774 386 2 888556225 +595 717 2 886921977 +748 208 4 879454522 +653 642 1 878866604 +864 136 4 888886913 +484 471 4 881449737 +315 433 4 879821037 +788 685 3 880870996 +506 762 3 877861473 +18 172 3 880130551 +806 357 3 882387373 +498 14 4 881955189 +835 288 2 891032224 +727 180 3 883711589 +521 208 3 885253562 +786 280 3 882841745 +833 475 3 875035718 +782 1615 3 891499611 +833 431 2 875223813 +406 197 4 882480710 +758 352 4 885948283 +703 288 4 875242076 +786 501 4 882843534 +666 204 3 880139090 +450 392 4 887660762 +798 951 3 875639767 +634 1084 2 875728783 +786 1044 4 882844127 +862 434 5 879304410 +634 117 4 875729535 +533 38 2 879191691 +798 1139 3 876177661 +916 930 2 880843934 +380 89 5 885478583 +158 22 5 880134333 +198 474 5 884207298 +757 97 4 888445714 +938 284 2 891356827 +374 472 2 880393783 +749 655 5 878848044 +724 948 1 883758119 +276 728 2 874792277 +429 1109 2 882386448 +505 358 3 888631555 +702 352 1 885767435 +869 126 2 884491927 +934 67 4 891193373 +896 1248 2 887160187 +639 194 4 891240160 +727 774 3 883713257 +833 671 5 875039204 +843 379 2 879443394 +405 698 1 885546069 +902 298 2 879465016 +561 615 4 885807930 +485 345 1 891040560 +523 197 5 883703048 +747 26 3 888733314 +858 334 4 880933072 +592 96 5 882956241 +580 151 2 884126077 +819 300 5 879952538 +534 129 4 877807718 +541 29 2 883865336 +872 1047 4 888479603 +821 1197 5 874792889 +763 100 5 878915958 +682 228 4 888520923 +698 431 1 886367750 +767 524 5 891462560 +308 7 4 887738847 +758 291 4 881978115 +875 185 4 876466687 +807 154 2 892528919 +201 590 1 884114813 +759 984 2 881476642 +763 392 4 878919055 +804 1050 3 879442269 +506 132 4 874873615 +851 129 4 875730379 +561 186 3 885809447 +378 67 2 880332563 +830 968 4 891898211 +916 959 4 880845328 +110 780 3 886989566 +829 281 3 881712349 +425 157 2 878738149 +342 488 5 875319536 +916 1 4 880843361 +274 1060 4 878945645 +130 389 3 875216786 +686 518 5 879546497 +380 480 4 885478718 +779 7 3 875993165 +59 68 2 888205228 +468 508 4 875280539 +707 319 5 879439088 +551 509 4 892777274 +838 87 4 887065750 +843 177 3 879444767 +455 28 4 879111371 +13 209 3 882141306 +716 1124 3 879795838 +299 241 3 889502640 +592 475 5 882608107 +506 523 5 874873112 +899 474 3 884121612 +825 322 5 884642187 +398 837 4 875718614 +256 92 1 882164603 +653 62 3 880151691 +531 311 4 887048763 +503 356 4 879454841 +779 509 2 875999211 +805 102 4 881695591 +938 815 3 891356532 +648 38 5 884882803 +291 71 4 875086887 +890 636 3 882404879 +733 515 5 879535213 +833 522 2 875039039 +60 133 4 883326893 +881 554 1 876539636 +288 258 4 886372882 +871 1388 4 888193136 +741 22 5 891018303 +707 744 3 880060261 +450 78 2 882396245 +896 1522 2 887160750 +830 588 5 891561474 +347 148 3 881652888 +405 1546 1 885549408 +488 589 3 891294400 +327 255 3 887745911 +660 40 2 891201674 +743 301 4 881277357 +354 181 4 891216656 +548 659 4 891044446 +128 553 3 879968718 +303 1044 3 879485685 +470 129 3 879178542 +660 658 1 891200193 +405 303 1 885549904 +616 258 4 891224676 +374 239 4 880396622 +796 732 5 893047241 +893 1245 2 874828812 +291 939 4 874834768 +413 25 3 879969791 +279 56 4 875306515 +716 692 5 879795239 +682 226 3 888520923 +121 172 5 891388090 +475 354 2 891627606 +649 117 5 891440460 +541 393 3 883865693 +868 128 5 877108123 +818 346 4 891870364 +645 180 4 892054402 +249 238 5 879572451 +332 367 4 888360212 +48 243 3 879434330 +934 855 4 891192849 +889 191 4 880178078 +847 200 3 878940756 +450 597 4 882473914 +277 284 4 879543972 +728 289 3 879442761 +221 56 5 875245592 +429 1301 4 882385963 +796 608 3 892675492 +751 161 2 889134419 +13 187 5 882140205 +712 195 3 874730085 +625 519 2 891263703 +811 300 5 886377373 +509 338 3 883591319 +288 205 5 889225443 +806 1018 4 882389908 +877 921 4 882677128 +613 176 5 891227237 +913 603 4 880758150 +939 890 2 880260636 +881 21 3 876536667 +509 266 1 883591489 +653 728 2 880153568 +429 380 3 882387576 +903 96 2 891032842 +465 135 3 883531380 +795 143 3 883252292 +773 172 5 888539992 +907 934 4 880159222 +894 245 4 882404136 +807 1084 4 892529519 +832 286 3 888258806 +826 68 3 885690677 +815 1039 5 878693870 +588 24 2 890015766 +642 496 4 885603516 +429 637 3 882387506 +129 323 1 883245452 +654 1048 3 887864050 +741 83 4 891457855 +815 176 4 878694705 +653 702 3 880151918 +57 1016 4 883697730 +577 49 4 880474955 +868 94 1 877109814 +911 210 3 892839745 +836 269 5 885753475 +276 215 4 874791145 +459 235 1 879563367 +773 96 2 888540063 +500 215 1 883874528 +504 846 4 887831806 +455 183 4 879111862 +747 168 4 888639015 +503 197 5 880383358 +869 596 3 884491734 +886 237 4 876031850 +532 120 2 888630742 +645 367 3 892055039 +506 194 5 874873247 +533 511 4 879439379 +759 220 5 875227904 +833 684 3 875123195 +721 81 2 877139301 +95 552 1 888956422 +899 367 4 884122450 +498 657 3 881957488 +758 510 3 881974823 +761 840 4 876190753 +878 151 1 880870609 +670 83 3 877975018 +387 42 4 886480548 +646 1022 4 888528955 +806 98 4 882387798 +54 405 4 880934806 +889 1231 3 880182871 +224 222 4 888103729 +159 272 5 885501645 +724 938 3 883757671 +830 498 5 891899535 +489 749 4 891366571 +699 1336 3 884152976 +642 399 3 886131257 +194 661 5 879523104 +826 420 3 885690342 +904 736 4 879735499 +722 111 3 891281077 +892 143 2 886608238 +620 181 4 889988146 +854 195 3 882813537 +935 148 4 884472892 +151 258 5 879523838 +727 751 3 883708208 +843 82 3 879444801 +919 748 1 875288253 +416 415 4 886319408 +656 302 3 892318450 +916 961 3 880844202 +402 137 4 876266701 +705 252 1 883427552 +942 496 5 891283043 +933 73 4 874854629 +211 443 1 879460096 +804 576 4 879445355 +901 465 4 877131654 +682 248 3 888518640 +1 142 2 878543238 +207 385 3 875509346 +905 1011 3 884984382 +268 379 1 875744582 +623 228 3 891034343 +279 759 4 875313616 +483 222 3 878953485 +236 273 1 890116670 +720 347 3 891262608 +943 1188 3 888640250 +479 490 4 879461337 +880 1415 2 880243093 +798 161 3 875639235 +622 808 3 882671534 +28 672 3 881961728 +13 143 1 882140205 +762 749 1 878718996 +311 966 4 884365617 +924 13 3 887421305 +159 880 1 893256084 +894 1073 4 882404397 +537 693 4 886031786 +109 257 5 880563331 +804 70 4 879443137 +303 805 4 879485475 +636 283 3 891448916 +856 690 4 891489356 +796 1012 3 892660466 +648 210 4 882213502 +885 660 5 885714317 +819 70 4 884105841 +476 399 3 883364812 +923 125 4 880388289 +551 1136 5 892784049 +506 177 5 888848342 +916 54 3 880845790 +296 632 5 884197264 +290 102 3 880475585 +896 31 3 887158830 +919 240 3 875289611 +450 213 4 882396351 +802 678 4 875984776 +735 289 1 876698022 +881 812 2 876539505 +295 449 4 879518864 +760 631 3 875668368 +830 484 5 891898661 +815 77 4 878695798 +399 426 3 882350431 +195 1315 4 878019299 +689 257 5 876676397 +566 231 1 881651317 +934 963 5 891192914 +585 60 4 891282808 +660 204 3 891200370 +521 566 3 885254925 +881 90 3 876539595 +306 1028 2 876504581 +824 687 2 877021077 +804 358 3 879440787 +490 118 2 875428703 +769 1011 3 885424142 +663 121 4 889493182 +430 1375 4 877225660 +787 308 3 888979181 +788 405 4 880868974 +503 98 5 879454675 +917 276 5 882912385 +592 95 4 882956276 +829 1193 4 881699425 +864 72 4 888891288 +524 23 5 884635031 +788 636 3 880870583 +881 214 4 876538322 +887 96 4 881380403 +822 588 2 891037394 +815 87 5 878694199 +545 172 5 879899125 +781 245 2 879633862 +923 295 5 880387579 +882 89 5 879867508 +833 152 2 875134063 +406 670 3 879792928 +333 127 4 891045496 +887 47 5 881381679 +391 186 5 877399658 +694 1126 5 875727449 +815 518 3 878693183 +870 45 5 875679795 +617 413 1 883789635 +693 939 4 875483381 +840 514 5 891205093 +196 269 3 881250949 +833 589 5 875038807 +680 203 3 876816162 +889 566 3 880181275 +251 595 3 886272486 +588 225 5 890027113 +682 39 4 888518009 +595 121 2 886921550 +712 944 4 874956981 +43 144 4 883955415 +775 750 5 891032804 +916 77 3 880845620 +699 246 4 883278783 +843 501 2 879447578 +184 276 4 889907685 +905 125 3 884984009 +846 431 5 883947590 +851 299 4 886534617 +223 289 1 891549017 +648 63 4 884882103 +721 332 4 877137358 +10 70 4 877891747 +595 472 3 886921847 +342 1094 3 874984873 +269 187 4 891447841 +406 661 5 879446268 +889 93 3 880177219 +943 117 4 875501937 +655 503 3 887523477 +805 135 4 881698095 +1 216 5 876892701 +130 1157 3 880396861 +889 1067 3 880177131 +757 679 4 888466583 +407 176 4 875046427 +838 114 4 887065822 +727 771 3 883713692 +562 393 2 879195954 +122 513 4 879270084 +197 272 4 891409160 +835 318 5 891033718 +699 1163 5 879148050 +893 77 4 874829706 +741 56 4 891018303 +733 130 2 879544411 +669 614 4 891260778 +796 78 3 893219254 +826 258 4 885689759 +181 717 1 878963418 +787 306 3 888979007 +665 419 4 884295126 +305 228 2 886323998 +758 179 5 881976031 +178 588 4 882826242 +650 1627 3 891383786 +655 995 3 887424991 +870 1208 2 879902128 +884 1009 2 876859024 +880 68 5 880167843 +535 488 5 879618965 +889 749 2 880176718 +128 531 4 879966685 +797 269 3 879438957 +735 93 2 876698604 +927 410 1 879190223 +533 654 3 879191770 +327 245 1 887743705 +477 739 4 875941191 +275 393 3 880314772 +365 815 3 891304152 +861 531 4 881274529 +344 530 4 884901403 +796 1076 2 893219150 +92 368 1 886443672 +234 1011 3 891227730 +263 435 4 891298914 +738 164 5 892844112 +829 733 2 887584684 +591 182 3 891031171 +30 403 2 875061066 +805 1033 3 881706146 +491 294 2 891189842 +767 615 4 891463095 +936 508 3 886832282 +851 122 2 875731105 +716 549 4 879797372 +807 254 4 893085166 +878 371 3 880869239 +279 379 3 875314386 +586 50 4 884057387 +886 826 1 876032929 +683 325 2 893286346 +543 234 4 876896210 +897 234 5 879991729 +838 134 3 887066304 +891 237 5 891638601 +693 176 2 875483268 +777 15 4 875980306 +867 655 4 880078906 +325 511 4 891478047 +788 1303 3 880871577 +524 227 2 884636498 +207 847 3 885139179 +442 470 4 883391167 +551 196 5 892776982 +776 618 3 892474057 +562 582 4 879196249 +804 747 3 879445699 +749 239 4 878849286 +487 27 5 884044329 +188 11 5 875071520 +838 274 4 887064388 +846 209 4 883948377 +870 66 4 875680493 +450 489 4 882373464 +822 71 4 891037465 +564 685 3 888730658 +504 158 3 887910737 +796 945 5 892663009 +391 715 2 877399588 +850 519 4 883195168 +587 319 3 892871113 +365 741 2 891304059 +682 263 1 888518541 +524 222 2 884323500 +503 100 5 879438346 +795 58 4 881259362 +538 655 3 877108345 +833 515 3 875035660 +848 610 5 887046259 +727 114 5 883710152 +666 154 3 880568662 +159 742 2 880557192 +922 237 4 891448247 +833 667 1 875224381 +899 176 4 884121173 +846 367 4 883949121 +630 864 4 885667600 +933 1 3 874854294 +805 235 2 881705350 +560 109 3 879976651 +684 50 4 875810897 +862 70 4 879305172 +870 813 4 875051101 +846 185 5 883948534 +586 123 3 884057661 +828 902 4 891380167 +848 495 2 887039018 +574 242 5 891278860 +924 408 3 889286721 +495 636 3 888634475 +343 286 4 876402390 +90 479 5 891384147 +805 352 5 885845656 +887 254 4 881379145 +276 96 5 874792435 +291 404 4 875086958 +389 386 3 880089302 +608 157 1 880405085 +864 972 2 888890475 +919 11 4 875373582 +393 80 3 889729561 +927 763 4 879181749 +942 95 5 891283516 +825 363 4 881185343 +883 323 5 891692168 +757 270 3 888443434 +629 693 5 880117215 +464 270 4 878354762 +543 60 5 874864346 +896 840 2 887161469 +875 511 5 876465188 +392 495 3 891038401 +840 52 3 891205320 +321 1101 3 879440660 +345 86 4 884916235 +427 268 5 879701253 +622 451 4 882671221 +645 61 5 892054508 +846 608 4 883948377 +615 271 2 879447642 +698 483 3 886367133 +602 261 3 888638248 +499 55 4 885599598 +429 425 3 882385859 +494 143 5 879541245 +724 988 1 883758119 +773 455 4 888539471 +635 307 4 878878654 +622 22 4 882592178 +804 670 4 879444536 +712 63 4 874956903 +461 294 3 885355805 +880 1095 3 880175503 +642 771 3 885607115 +937 300 4 876768813 +363 257 2 891499595 +615 48 5 879448399 +804 1489 3 879445441 +854 188 4 882814368 +816 332 4 891710994 +914 643 4 887123886 +717 472 4 884642581 +815 582 1 878695311 +765 42 5 880346975 +896 8 5 887159343 +500 1135 3 883875561 +837 258 4 875721473 +749 1041 4 878849979 +456 544 3 881372114 +721 97 4 877140780 +592 887 5 882607780 +825 455 4 880756796 +939 934 3 880262139 +527 1211 3 879455765 +886 425 4 876032029 +831 28 3 891354848 +630 111 5 885666956 +239 116 5 889181093 +918 631 4 891986664 +786 496 5 882843312 +8 55 5 879362286 +405 398 1 885548094 +803 683 1 880054885 +593 238 4 877728878 +919 328 2 875288304 +846 525 4 883947819 +835 427 4 891033380 +774 1016 3 888559123 +938 472 4 891356656 +824 323 2 877020965 +506 580 3 874875062 +563 257 5 880506596 +72 215 4 880036718 +436 470 4 887770566 +859 1281 3 885774937 +757 53 3 888466737 +144 455 3 888104382 +496 443 2 876066353 +566 378 4 881650467 +533 289 2 879773297 +847 1007 4 878775444 +845 310 4 885409493 +407 402 2 876344329 +537 966 2 886032098 +653 208 3 890181185 +786 322 3 882842463 +481 199 5 885828543 +436 278 2 887771924 +189 405 2 893264487 +807 473 3 892530705 +868 181 5 877103280 +387 1 4 886480681 +846 227 4 883949698 +543 778 4 877550399 +830 96 3 891561673 +894 12 5 881625708 +919 1284 3 875289566 +815 240 2 878692319 +639 731 2 891239613 +804 636 3 879445334 +312 1172 5 891699538 +864 405 5 877214158 +645 60 5 892053748 +639 740 4 891239324 +665 1315 4 884291413 +847 151 4 878775914 +882 205 5 879865307 +15 823 2 879456351 +387 530 4 886483099 +655 1106 2 891817472 +496 506 3 876067215 +861 14 4 881274612 +551 1439 5 892783612 +445 902 4 891200870 +194 228 1 879535548 +450 619 3 882377861 +886 380 3 876032929 +671 379 3 884035303 +506 191 4 874873615 +582 919 5 882961540 +291 402 4 874871498 +566 576 2 881651013 +919 709 3 875374088 +793 928 3 875104864 +773 919 5 888538643 +585 1149 4 891283921 +870 873 2 875050370 +417 450 2 880953014 +98 210 4 880498968 +664 657 5 876526685 +116 1220 2 876453865 +712 996 4 874956903 +717 455 2 884642479 +425 326 1 890346567 +742 546 1 881335598 +521 1240 3 884478667 +789 249 3 880332296 +890 739 2 882915661 +455 15 2 879110767 +77 192 3 884752900 +663 3 4 889492614 +677 91 5 889399671 +627 387 2 879529916 +394 742 5 880888167 +880 986 3 880167569 +655 391 2 887429784 +719 216 4 879373935 +420 124 5 891356891 +666 1474 3 880567612 +924 504 5 885458009 +889 144 4 880178224 +833 100 4 875036169 +749 209 4 878848828 +871 272 2 888192859 +263 234 4 891298792 +464 515 5 878354965 +823 450 1 878439412 +887 294 5 881378219 +500 409 4 883865985 +754 1016 4 879451585 +763 1006 2 878919116 +699 1328 4 879148051 +682 553 3 888517627 +889 664 2 880182695 +398 100 3 875652816 +715 588 4 875963353 +450 214 1 882371416 +913 750 4 883110363 +200 429 5 884130014 +919 218 4 875374032 +474 523 5 887924083 +59 492 4 888205370 +659 720 3 891386492 +804 120 3 879444077 +878 213 3 880867854 +276 975 3 874836629 +545 720 3 883115664 +833 188 4 875124495 +848 265 4 887047808 +830 474 5 891898661 +532 118 4 888634813 +881 465 3 876538595 +629 658 4 880117813 +340 497 5 884990951 +697 310 3 882621431 +854 118 2 882813219 +848 496 2 887037980 +756 118 2 874828967 +630 181 3 885666650 +783 343 5 884326787 +33 880 3 891964230 +454 371 3 888267198 +299 640 3 889501995 +645 96 3 892054444 +920 350 4 884219953 +790 862 1 885158374 +186 1042 5 879023632 +535 144 3 879618123 +615 70 4 879448915 +326 474 5 879875025 +71 302 3 880864015 +642 1224 4 886132139 +654 462 4 887864998 +420 127 5 891357104 +790 105 2 884462907 +405 54 2 885546379 +13 504 5 881515011 +855 165 4 879825382 +455 77 4 879111528 +297 294 3 874953948 +304 243 3 884967391 +790 485 3 885156709 +727 158 2 883713668 +500 134 5 883873461 +889 1262 3 880182270 +790 294 2 884460878 +234 464 4 892079288 +640 182 5 874777925 +809 748 3 891037091 +857 24 1 883432711 +919 372 3 875920948 +883 127 5 891717319 +805 413 2 881695414 +542 347 3 886532176 +797 300 2 879439031 +556 707 3 882136396 +830 195 3 891464054 +189 1404 5 893266325 +875 98 5 876464967 +758 195 5 881975416 +429 808 3 882387576 +730 248 3 880310324 +892 1454 3 886610267 +896 223 4 887158830 +920 346 4 884219768 +390 475 1 879694232 +796 493 3 892675424 +919 628 3 875288898 +634 290 3 877017891 +851 355 4 888540240 +600 183 5 888451750 +790 214 3 885156618 +796 86 5 893047321 +887 28 5 881379522 +92 406 2 881008058 +880 258 4 880166499 +184 387 4 889909515 +486 303 4 879874388 +846 642 5 883950220 +845 302 3 885409374 +694 665 4 875728729 +5 404 2 875721216 +835 371 5 891034366 +795 175 5 881263767 +847 499 4 878940013 +313 326 4 891012907 +59 567 4 888206562 +852 1052 4 891037888 +716 485 5 879795375 +389 654 5 879991411 +729 272 4 893286638 +13 647 5 882140206 +716 724 4 879796138 +698 202 3 886367775 +389 371 4 880088309 +755 331 3 882569771 +394 29 3 881058201 +312 618 5 891698300 +715 11 4 875963306 +532 1217 4 888630453 +145 1216 2 888398238 +910 250 1 880821033 +622 80 3 882671446 +792 121 4 877910412 +682 192 3 888516979 +269 132 5 891449145 +297 148 3 875239619 +819 327 4 879952656 +178 147 4 886678902 +699 185 4 878883038 +625 121 3 891273698 +378 216 4 880055268 +870 327 4 875050410 +764 111 4 876243595 +405 401 1 885547448 +863 321 4 889289157 +660 391 2 891201823 +625 476 2 891632164 +450 696 4 882398666 +862 476 4 879303622 +719 298 2 888451537 +880 375 1 880242782 +108 1 4 879879720 +871 315 3 888192286 +661 89 5 888300344 +933 403 3 874939105 +880 217 4 880241411 +445 288 2 891035830 +805 1101 5 881698745 +601 121 2 876347267 +393 485 2 887746670 +693 685 4 875483947 +710 340 4 882063367 +457 175 5 882547139 +533 591 4 887721848 +805 1110 5 881694978 +420 855 5 891357021 +523 97 4 883702946 +882 380 5 879868197 +830 679 3 891561805 +605 338 2 881015064 +825 928 3 880756224 +198 682 3 884204709 +71 168 5 885016641 +730 257 5 880310541 +116 295 3 876452582 +917 150 5 882912385 +351 307 4 879481550 +659 451 5 891385534 +379 197 5 880568253 +745 194 4 880123262 +781 195 4 879633942 +447 83 5 878856458 +659 183 4 891385079 +897 265 3 879990466 +704 1299 3 891398702 +703 748 3 875242281 +908 447 3 879722850 +399 218 4 882344597 +896 1183 2 887160842 +682 686 4 888519725 +472 294 4 875977735 +301 636 3 882077811 +130 77 5 880396792 +897 240 4 879993823 +577 1219 3 880475067 +753 523 4 891401851 +716 620 3 879797287 +734 15 4 891026009 +780 294 3 891363259 +788 215 3 880869908 +642 21 5 885605148 +349 285 5 879465477 +815 117 3 878691884 +240 895 5 885775711 +655 568 3 887429640 +936 628 1 886832758 +166 687 1 886397777 +935 864 5 884472704 +704 631 3 891397366 +279 566 4 875313387 +884 382 5 876859351 +846 178 4 883947630 +849 121 5 879695086 +586 284 3 884057518 +628 294 4 880777167 +748 83 3 879455019 +846 751 5 883946938 +504 791 3 887911789 +788 286 5 880867372 +292 419 4 881105657 +276 919 4 874786467 +557 346 2 884357321 +780 186 4 891363651 +835 25 5 891032764 +474 504 5 887924469 +815 485 4 878694820 +398 208 5 875723253 +624 93 5 879792557 +181 546 2 878962919 +870 1118 3 881001249 +474 204 4 887924084 +753 174 4 891402323 +916 570 3 880845368 +933 471 3 874854611 +747 404 5 888640648 +840 659 5 891204827 +727 722 2 883712993 +654 568 4 887864868 +380 211 3 885479487 +843 174 4 879444670 +472 651 4 875981830 +332 147 4 887938524 +698 198 2 886367442 +497 951 2 879363695 +728 15 4 879443387 +234 925 2 892334976 +868 480 4 877103280 +385 210 1 879453773 +638 128 3 876695216 +181 1008 1 878963276 +524 485 2 884635085 +774 401 2 888556169 +889 262 4 880176620 +843 739 2 879447523 +835 69 5 891034366 +795 931 2 880560078 +793 148 4 875104498 +160 55 4 876858091 +885 79 4 885715803 +788 433 2 880869621 +936 282 2 886832714 +666 644 3 880314453 +782 1255 2 891500194 +745 12 5 880123905 +695 324 2 888805981 +853 358 1 879365035 +774 197 1 888556746 +642 288 1 885604085 +523 638 4 883701065 +178 100 4 882823758 +763 50 4 878914968 +839 713 2 875751774 +214 276 3 891543271 +201 549 3 884140750 +802 573 4 875985840 +354 451 3 891307114 +870 328 3 875050410 +577 496 5 880474455 +339 434 4 891033350 +325 93 4 891478627 +684 716 2 878761751 +833 435 2 878078229 +889 856 4 880181138 +601 50 5 876346810 +94 465 5 891721851 +608 505 5 880406862 +851 879 4 875729820 +804 988 4 879440663 +64 275 4 879365670 +870 401 3 880584584 +276 150 4 874786924 +568 631 5 877907367 +872 895 5 888478882 +255 332 2 883215586 +669 268 3 891517159 +455 553 3 879111907 +921 275 1 879379642 +581 1097 4 879641787 +139 237 3 879538254 +823 606 4 878438856 +805 217 2 881695293 +493 1088 2 884131777 +727 274 5 883709438 +495 568 1 888635294 +389 1 4 879915860 +889 636 4 880181663 +497 200 3 879362359 +833 168 5 875038775 +846 484 5 883948048 +770 929 4 875971989 +830 176 3 891561673 +921 1279 2 879380142 +804 447 3 879445625 +441 538 3 891035144 +271 181 5 885848707 +752 1024 3 891207940 +788 431 2 880868401 +450 220 4 882394097 +142 42 4 888640489 +747 13 3 888733348 +430 748 3 877225239 +859 287 5 885775358 +487 274 4 883444631 +461 327 4 885355757 +788 182 2 880868599 +715 234 4 875963242 +716 609 3 879796354 +880 790 3 880175050 +806 655 3 882388128 +730 328 2 880310201 +690 747 3 881180427 +47 286 3 879438984 +826 624 4 885690379 +833 289 1 875035487 +537 521 2 886030831 +453 1145 2 888206492 +452 475 2 876299004 +916 1005 4 880845303 +666 511 4 880139120 +439 290 4 882894084 +786 203 4 882843753 +922 217 3 891449993 +381 313 2 892697869 +543 249 2 888209667 +222 48 5 878181592 +634 276 5 877018125 +650 177 2 891371061 +814 53 4 885411132 +497 402 4 879310508 +746 2 3 885075304 +851 983 2 875731021 +763 483 4 878915628 +102 153 2 892991376 +14 186 4 879119497 +495 55 2 888634389 +793 151 5 875104142 +354 170 4 891217194 +85 9 4 879456308 +246 827 1 884923829 +907 8 3 880159688 +637 460 2 882905388 +833 238 2 875124225 +586 808 3 884062405 +837 151 5 875721734 +7 52 4 891353801 +378 71 4 880055672 +854 9 5 882814570 +913 747 3 881369407 +504 595 4 887832097 +851 250 5 875730379 +938 748 2 891356282 +846 559 5 883949200 +788 326 4 880867477 +758 242 3 880672230 +867 588 3 880078887 +894 1080 4 882404507 +699 886 3 893140639 +611 340 5 891636192 +200 930 3 876042790 +707 81 2 886286491 +224 125 3 888103942 +878 509 4 880866288 +807 541 4 893083740 +236 294 2 890116895 +417 212 1 879647800 +398 684 4 875908134 +863 1313 1 889289067 +925 333 3 884717790 +911 622 3 892840996 +621 25 4 880738699 +608 469 3 880405395 +761 877 2 876189931 +796 934 3 893048024 +748 210 3 879454584 +275 825 2 876197904 +867 9 5 880078958 +201 55 4 884114471 +919 794 4 875373521 +690 357 5 881179122 +796 480 4 892663155 +535 301 4 879617199 +795 472 3 880559543 +562 190 4 879196445 +588 625 3 890024325 +798 258 4 875286981 +450 812 4 882468402 +181 988 2 878961847 +796 768 2 893219065 +318 1160 5 884494976 +899 655 4 884121267 +631 682 2 888465247 +938 546 3 891356532 +759 591 3 881476891 +694 179 4 875730980 +409 127 4 881106605 +380 200 4 885479104 +903 185 5 891033070 +769 411 3 885424099 +844 117 4 877381450 +851 412 2 875731105 +868 739 2 877111542 +790 227 3 885156647 +308 392 4 887740367 +749 101 4 878848700 +474 25 5 887916608 +342 486 5 874984207 +82 770 4 878769777 +498 237 2 881957625 +852 825 3 891037586 +506 516 4 874874525 +808 332 4 883949639 +222 35 1 878184007 +896 327 5 887235643 +830 925 4 892502651 +279 321 5 875249102 +824 325 4 877021121 +851 411 3 875731021 +761 237 5 876190417 +645 482 4 892053340 +621 154 5 881444499 +13 863 4 882140487 +805 58 4 881698778 +381 596 3 892697297 +773 59 5 888540617 +918 856 4 891988491 +679 222 4 884487418 +826 33 3 885690600 +644 977 4 889076922 +684 63 4 878762087 +272 32 4 879455113 +768 14 5 883835026 +879 866 5 887761460 +500 1469 1 883876224 +700 173 5 884493713 +910 751 3 884229194 +848 478 5 887039531 +752 344 4 891208212 +497 68 4 879310850 +561 184 3 885808843 +346 175 4 874947644 +486 242 4 879874018 +887 411 4 881379059 +886 1209 2 876034041 +557 1244 2 880485863 +863 328 5 889288943 +601 239 3 876350537 +316 487 3 880853810 +429 235 3 882386966 +825 1087 3 881343153 +740 326 3 879522814 +786 289 4 882844336 +537 431 4 886031678 +869 1382 3 884492201 +42 174 5 881106711 +532 815 4 888635376 +354 527 4 891217394 +640 62 3 874778612 +117 475 5 880125746 +838 190 4 887066988 +586 164 2 884059486 +790 144 4 885155572 +192 289 4 881366615 +645 641 5 892054600 +904 155 4 879735616 +724 873 3 883757784 +903 48 4 891033005 +716 56 5 879796171 +804 515 5 879441000 +828 886 1 891035438 +318 134 5 884495639 +548 370 3 891416050 +715 71 3 875963354 +854 423 4 882813963 +929 483 4 879640036 +824 989 2 877021121 +457 120 2 882551344 +889 249 3 880177266 +540 332 4 882156677 +790 83 3 885155034 +734 274 4 891025943 +416 273 4 876697415 +855 529 4 879825613 +378 56 4 880045760 +933 1070 2 874854031 +739 333 4 886825227 +622 386 3 882671727 +822 539 2 891035086 +707 614 2 886287876 +551 559 5 892784479 +422 717 3 875130173 +758 23 4 881975814 +709 472 4 879848792 +76 203 4 875027507 +102 241 3 888802038 +407 659 5 875550174 +344 64 5 884900818 +393 195 3 889555272 +799 286 5 879253668 +576 763 3 886985695 +909 529 3 891920763 +839 121 3 875752237 +486 919 3 879874902 +798 417 3 876176043 +627 52 3 879530146 +854 924 4 882812314 +943 581 4 888639814 +777 127 1 875980391 +923 322 4 880387130 +534 291 4 877808031 +484 1016 4 883402866 +886 20 2 876031739 +846 188 3 883948642 +915 321 3 891030002 +25 527 4 885852248 +620 755 5 889988169 +634 248 4 877018311 +495 576 3 888637440 +556 324 4 882135805 +846 640 1 883948642 +156 480 5 888185606 +851 347 5 891961663 +71 153 4 885016495 +838 71 3 887066782 +813 892 1 883752708 +717 303 4 884641644 +790 393 2 885156290 +537 568 2 886031912 +843 206 3 879448112 +222 72 4 878183311 +935 1016 4 884472434 +579 234 3 880951708 +747 175 4 888640180 +18 493 5 880132437 +843 157 2 879448199 +932 550 2 891251331 +804 366 4 879445579 +655 1266 3 887428911 +542 321 4 886532928 +504 620 4 887831419 +801 328 5 890332748 +881 99 3 876538571 +932 211 5 891249710 +514 157 4 875309350 +630 9 2 885666536 +698 300 4 886365577 +75 833 2 884051113 +887 140 5 881381425 +293 451 3 888907245 +853 286 3 879364668 +655 584 3 887429171 +691 178 5 875543281 +887 828 3 881378854 +284 319 3 885329238 +366 17 5 888857866 +735 515 4 876698755 +600 947 4 888452071 +790 73 4 885157489 +795 419 3 880569526 +805 1098 3 881704150 +862 436 4 879305386 +541 151 3 883874717 +798 121 5 875295930 +751 751 4 887396425 +776 98 4 891628837 +338 86 4 879438505 +293 51 3 888907674 +878 588 2 880870048 +758 168 5 881975416 +867 323 3 880077951 +943 55 5 888639118 +764 747 3 876246291 +25 204 5 885853415 +559 863 5 891033956 +592 129 5 882608457 +833 202 4 875133924 +943 54 4 888639972 +340 480 5 884991114 +888 514 5 879365154 +825 979 4 889021134 +637 815 2 882904678 +445 508 2 891200078 +747 315 4 888638774 +847 527 2 878939536 +889 650 2 880178130 +736 533 3 878709108 +887 431 3 881379685 +790 237 4 884461541 +715 746 5 875964025 +603 22 4 891956776 +786 285 3 882842726 +711 155 4 879995382 +648 781 4 884882078 +388 276 2 886440608 +795 234 4 883251200 +704 492 5 891397491 +417 111 3 879647768 +60 175 5 883326919 +28 567 4 881961782 +548 546 4 891415815 +334 11 4 891545741 +532 426 5 888635197 +812 292 3 877625610 +908 963 4 879722397 +745 483 1 880123361 +782 289 3 891498436 +397 343 2 885349148 +642 673 2 886130929 +848 181 5 887046674 +290 472 4 880475495 +852 969 5 891037917 +181 1061 2 878963086 +940 521 4 885921915 +331 31 2 877196567 +920 302 4 884219701 +653 684 5 878854247 +327 28 3 887747971 +299 10 5 877878601 +863 327 5 889289327 +595 274 3 886921584 +850 568 5 883194768 +645 64 3 892053429 +846 697 5 883949254 +653 1139 3 880153145 +553 1 3 879949153 +580 121 4 884125457 +614 276 4 879464234 +872 274 3 888479560 +562 204 1 879196288 +766 481 4 891308968 +786 181 4 882841955 +805 22 1 881694423 +584 222 4 885774483 +854 1134 3 882812787 +896 508 2 887159035 +825 825 4 881187129 +268 172 5 875310031 +823 356 3 878439467 +844 70 4 877386990 +911 483 3 892838637 +756 96 4 874828640 +601 416 3 876350683 +506 48 2 874873158 +756 755 3 874830598 +465 98 4 883531409 +727 65 2 883712343 +738 118 3 875351438 +94 245 1 891724828 +737 475 4 884314693 +815 615 2 878696181 +874 325 2 888633197 +256 216 5 882165032 +892 153 5 886609793 +770 475 5 875972381 +566 20 4 881650551 +749 191 4 878848217 +860 49 2 885991316 +276 95 5 874792839 +843 380 3 879448262 +44 172 4 878348521 +269 441 1 891450857 +806 403 4 882388706 +850 22 5 883195527 +78 476 3 879633767 +758 896 5 886658068 +458 475 4 886394729 +833 1029 1 875134940 +854 64 5 882814121 +655 638 4 890497592 +848 509 4 887046674 +7 664 3 891353977 +933 765 1 874938644 +476 384 4 883365274 +249 302 4 879571438 +833 233 2 875223756 +655 480 4 888984506 +751 385 4 889135244 +182 1 4 885613092 +539 531 4 879788572 +336 1094 1 877757062 +7 11 3 891352451 +56 930 3 892679481 +828 322 3 891034515 +504 44 4 887838846 +751 55 4 889134419 +677 539 3 889399113 +773 386 3 888539643 +896 121 3 887159343 +868 217 2 877109895 +889 866 4 880177407 +905 742 4 884983888 +586 265 5 884062405 +436 264 2 887768669 +360 193 5 880355803 +464 288 4 878354626 +896 1437 1 887161564 +705 71 5 883427640 +826 309 4 885689892 +795 7 5 880557294 +666 293 3 880313310 +916 70 4 880845099 +865 21 2 880144229 +621 233 3 874964375 +892 132 5 886608897 +194 710 3 879524393 +345 412 3 884991600 +624 329 3 891961120 +933 161 2 874939105 +545 205 4 884134276 +749 1185 4 878849375 +711 955 1 879992739 +425 1013 1 878739054 +712 843 3 874957140 +426 404 3 879444321 +919 140 5 875373471 +508 175 4 883767465 +942 50 5 891282816 +79 275 4 891271627 +766 186 3 891309522 +875 174 5 876465025 +537 107 3 886030281 +648 769 1 884883724 +854 484 3 882814368 +576 324 2 887168978 +425 96 4 878738335 +343 387 4 876405521 +648 47 2 884881807 +551 380 3 892783488 +899 31 3 884121513 +907 318 5 880159642 +881 357 5 876537457 +896 808 3 887160270 +859 15 4 885776056 +908 423 4 879722822 +627 271 5 879529432 +846 468 4 883948949 +198 367 3 884209379 +756 195 3 874828967 +712 191 3 874730396 +727 179 3 883711150 +721 880 3 877137109 +537 723 2 886032098 +868 746 2 877109082 +437 1267 4 880141528 +536 209 2 882360030 +870 56 5 875050826 +541 655 4 883864782 +688 309 5 884153606 +870 174 5 875050698 +416 510 4 876698853 +453 56 5 877554771 +63 262 4 875746917 +831 741 2 891354726 +579 692 4 880952440 +7 632 5 891352261 +629 392 4 880117747 +881 63 4 876538853 +650 447 3 891386120 +900 318 4 877833672 +690 153 5 881177485 +815 684 4 878696441 +666 66 4 880568560 +906 125 4 879435365 +181 130 1 878963241 +548 316 4 891044139 +896 476 2 887161541 +624 246 4 879792493 +725 301 4 876106729 +393 332 4 887742764 +776 525 2 891629157 +222 90 2 878181647 +643 1016 3 891445766 +846 485 5 883947590 +909 14 4 891920763 +796 797 3 893049257 +655 237 3 887426116 +590 275 4 879439645 +406 472 3 879539884 +828 26 3 891037948 +372 53 5 876869553 +781 286 1 879633495 +823 28 3 878438058 +622 173 5 882670057 +738 128 4 875351873 +305 59 3 886322758 +741 50 5 891018339 +846 208 5 883949547 +749 531 5 878847171 +881 451 1 876539186 +456 739 3 881375226 +932 640 2 891249239 +503 66 3 880383468 +906 117 4 879435574 +474 482 3 887925395 +829 319 4 892312728 +622 480 4 882669414 +833 235 4 875036418 +566 49 2 881651561 +505 328 4 888631175 +315 741 5 879821349 +796 118 4 893048505 +267 554 3 878972040 +799 292 4 879253720 +682 876 3 888521290 +643 509 3 891448839 +924 1478 4 886759691 +657 302 2 884237291 +874 116 4 888632484 +864 401 4 888893271 +812 328 4 877625368 +814 672 3 885411030 +15 472 3 879456204 +846 720 4 883949643 +738 141 3 875352771 +435 479 3 884131901 +42 73 4 881108484 +650 551 3 891370446 +806 158 2 882390404 +912 173 4 875966238 +632 568 3 879458142 +536 222 4 882360552 +627 9 4 879530014 +693 272 4 885703603 +843 182 2 879444739 +805 24 4 881694923 +581 7 4 879643079 +833 324 3 875035487 +848 202 5 887043040 +393 820 3 887745380 +537 660 3 886031149 +97 193 4 884238997 +815 449 2 878698661 +936 275 4 886832134 +209 249 2 883417640 +580 282 5 884125292 +487 85 2 884044654 +527 508 3 879456363 +851 531 3 875731189 +804 177 5 879441727 +851 975 2 875731105 +797 340 2 879439735 +524 96 4 884635172 +698 855 2 886367615 +862 200 5 879304980 +708 687 2 892719062 +487 301 4 883440613 +305 469 2 886323757 +932 180 4 891251014 +921 322 3 879379428 +811 308 4 886377082 +748 318 5 879454475 +907 245 4 880158556 +647 29 4 876533657 +561 77 1 885809246 +246 252 1 884924473 +875 289 4 876464800 +704 14 3 891397190 +642 775 4 886569570 +690 629 1 881177459 +847 79 4 878941588 +643 432 5 891449771 +390 300 5 879693770 +749 284 4 878846812 +92 402 3 875813098 +817 258 3 874815541 +890 632 5 882916538 +901 520 5 877287882 +447 181 5 878854520 +698 490 3 886366814 +911 21 4 892840144 +861 179 1 881274672 +916 763 3 880843683 +639 662 2 891239581 +653 205 1 880150126 +788 356 4 880870827 +931 255 4 891036755 +608 127 5 880403320 +823 195 4 878437703 +585 509 4 891283000 +863 330 2 889289191 +102 511 3 888801407 +846 56 5 883948003 +665 89 4 884294935 +819 302 5 884012512 +854 455 2 882812906 +868 164 2 877104157 +498 410 3 881954931 +749 95 3 878848333 +479 584 3 879461873 +831 358 2 891354371 +461 748 1 885355839 +277 1008 3 879543621 +863 1431 4 889289618 +761 1287 1 876190072 +863 322 1 889289327 +828 694 2 891036717 +889 523 4 880178078 +848 498 5 887037935 +216 151 3 880232936 +880 1165 2 880175527 +758 143 5 881975314 +496 196 3 876066374 +758 217 2 881978805 +480 56 4 891208492 +159 298 5 880557386 +594 269 4 877816219 +469 152 4 879523947 +599 245 3 880953441 +788 1139 1 880871605 +515 304 4 887658782 +339 9 5 891033044 +91 662 4 891439439 +727 408 4 883708895 +892 367 4 886610588 +901 230 5 877131087 +655 1233 3 887650512 +524 69 4 884634578 +712 415 4 874957161 +851 840 3 875731105 +840 70 3 891208919 +756 50 4 874828592 +892 58 4 886609469 +896 88 5 887159426 +872 756 4 888479370 +770 275 5 875972219 +715 595 3 875962718 +916 228 3 880845049 +871 190 2 888193275 +882 748 5 879861155 +758 313 4 882926095 +586 1218 5 884066959 +735 288 4 876697610 +886 1119 4 876032553 +573 423 3 885844127 +851 336 4 890804691 +666 956 4 880568637 +782 355 3 891498821 +921 121 5 879379736 +339 211 5 891034215 +11 431 2 891905896 +435 202 4 884131901 +711 961 5 886030557 +660 449 3 891201796 +186 177 4 891719775 +850 705 5 883195034 +567 434 5 882425997 +765 1009 5 880346606 +798 1076 3 876176043 +474 652 4 887925838 +782 1082 3 891500230 +650 563 3 891388170 +823 709 3 878438095 +911 183 4 892839492 +791 748 3 879448035 +889 1016 3 880177070 +829 427 4 891204271 +537 319 4 886028604 +429 412 4 882387411 +645 72 3 892053686 +844 173 5 877388182 +868 153 2 877105916 +244 28 4 880606300 +385 378 1 879447555 +416 571 3 886318860 +875 195 4 876466687 +739 98 3 886958972 +896 636 3 887159464 +796 182 4 893048342 +749 398 3 878850038 +532 1407 2 874794386 +589 310 5 883352494 +943 174 4 875410099 +851 880 3 886534617 +889 1097 3 880176984 +587 681 2 892871641 +851 1676 2 875731674 +20 323 4 879667684 +686 299 5 879543557 +308 218 5 887738717 +770 246 5 875971813 +570 886 2 881262534 +648 717 4 884366425 +181 1353 1 878962200 +655 454 3 888813372 +840 173 5 891204356 +854 235 2 882813179 +868 382 4 877109874 +877 207 3 882677012 +650 231 2 891381709 +331 306 5 877196819 +867 1159 5 880078796 +751 173 4 889134393 +524 218 3 884636453 +881 108 3 879052402 +409 1328 2 881106287 +849 133 5 879696059 +614 508 4 879464093 +749 77 3 878849534 +823 215 4 878437925 +489 895 4 891448147 +825 1199 4 880755762 +617 424 1 883789716 +825 931 3 889021287 +848 663 5 887046329 +523 257 5 883700187 +711 275 5 876185855 +497 111 4 878759828 +905 302 5 884982870 +784 877 4 891387622 +659 56 5 891331825 +407 1263 2 876344668 +828 1068 4 891035864 +398 482 5 875657802 +796 568 4 892676114 +919 1134 2 875289356 +889 642 3 880181455 +635 331 4 878878654 +795 382 4 881529077 +896 887 2 887235769 +6 306 4 883268246 +835 650 5 891033957 +437 226 1 880142942 +863 901 1 889288972 +674 111 5 887763336 +327 393 3 887819507 +896 575 2 887161469 +437 15 4 881001946 +622 79 5 882591979 +838 172 5 887066143 +867 474 5 880078840 +653 132 3 880149897 +839 258 4 875751411 +863 319 2 889289123 +7 197 4 891351082 +152 944 4 882476632 +664 31 4 876526555 +612 864 4 875324756 +887 443 4 881380883 +630 282 3 885666804 +511 1527 4 890004952 +378 164 4 880056582 +906 473 4 879435598 +601 429 5 876349387 +488 286 1 891292852 +515 538 3 887658676 +843 434 4 879447146 +622 230 3 882592815 +659 294 4 891044849 +774 12 3 888559437 +690 66 3 881177581 +854 492 4 882814333 +932 661 5 891250109 +758 455 4 881977309 +394 431 5 880889607 +655 1086 3 888474358 +880 47 4 880174730 +693 218 4 875483473 +130 330 4 874953424 +622 1216 4 882590344 +894 1115 4 882404430 +657 301 3 884237633 +883 740 4 891692742 +115 644 3 881172183 +49 147 1 888069416 +241 286 5 887249482 +834 346 3 890860194 +637 147 1 882903645 +788 385 3 880869434 +553 609 4 879948806 +848 489 5 887043821 +937 14 4 876769080 +648 575 3 884882553 +934 674 4 891193814 +160 408 4 876767023 +749 540 3 878850388 +425 435 3 878738334 +815 602 3 878694269 +249 427 5 879572472 +919 531 3 875373669 +788 589 5 880868005 +804 582 3 879444963 +870 315 2 883876178 +774 831 2 888558594 +308 356 3 887740833 +666 1451 3 880139614 +624 993 4 879793486 +457 276 4 882393306 +795 1413 3 883254987 +506 137 2 874872872 +707 480 3 886286360 +886 591 3 876031765 +660 259 4 891197778 +868 783 1 877113481 +21 873 2 874950932 +643 504 4 891447370 +889 631 3 880178449 +833 293 4 875035885 +721 292 3 877137527 +727 191 4 883710717 +533 403 3 879439341 +932 441 2 891252504 +878 498 4 880866758 +880 394 3 880243319 +865 627 1 880235060 +296 194 5 884197193 +393 411 2 887745501 +454 984 3 891377968 +586 576 3 884062671 +729 310 3 893286204 +716 559 2 879796846 +192 9 5 881367527 +880 28 5 880175690 +660 173 5 891199556 +669 511 5 891260778 +447 411 2 878855107 +524 64 2 884634877 +32 628 4 883718121 +524 208 5 884635287 +671 174 5 884035685 +451 324 4 879012647 +460 304 2 882911101 +724 268 4 883757397 +13 445 4 882139774 +938 473 3 891357106 +897 184 4 879991226 +463 1028 2 877386082 +405 512 1 885549589 +754 291 4 879451991 +346 1011 1 874947609 +711 651 4 879993707 +940 358 1 884801227 +889 132 4 880181910 +913 498 3 880757473 +655 686 2 887427866 +854 106 3 882813248 +405 542 1 885549095 +916 484 4 880844156 +506 586 2 885135882 +474 1221 4 887926999 +773 357 4 888540448 +436 941 4 887771997 +823 56 5 878438119 +889 471 3 880176926 +716 162 4 879796311 +537 684 3 886030738 +690 705 1 881179505 +795 559 2 883774317 +846 198 5 883948457 +622 363 4 882591484 +561 794 2 885809731 +222 566 4 878185044 +347 696 4 881653266 +840 195 5 891204847 +932 745 5 891250584 +468 117 2 875280499 +716 58 5 879795239 +938 1028 5 891356679 +653 175 2 878854332 +919 1 4 875289321 +533 281 4 887032214 +588 713 3 890015791 +896 895 2 887235788 +655 927 3 887564613 +835 286 3 891032224 +279 1039 4 881731303 +942 1050 5 891283043 +746 423 3 885075612 +94 1010 4 891721117 +748 114 4 879454773 +313 181 4 891014782 +286 408 4 875806800 +536 614 4 882359653 +478 64 5 889388862 +325 408 5 891478307 +514 195 5 876063938 +850 196 3 883194792 +815 222 4 884320310 +655 731 3 888474872 +163 326 3 891219977 +479 196 4 879461207 +916 71 3 880844897 +752 350 4 891208357 +846 1530 2 883949335 +699 477 3 878882411 +516 515 4 891290566 +778 755 2 890804547 +807 1066 5 893081508 +113 300 3 875075887 +796 82 3 892676195 +498 462 3 881958897 +882 756 3 879863457 +880 284 4 880242528 +806 187 5 882387670 +830 79 4 891561607 +943 721 5 888639660 +843 153 3 879446281 +479 202 4 879461567 +660 1065 2 891201049 +749 184 2 878848137 +881 831 2 879052493 +834 316 5 890860566 +274 596 3 878945404 +821 845 5 874792591 +483 515 4 878950971 +535 186 4 879618925 +740 873 2 879522872 +246 56 1 884920948 +489 880 2 891447302 +932 1454 4 891251985 +933 1028 2 874938620 +87 715 3 879876885 +941 475 4 875049038 +778 69 2 890803860 +693 291 3 889167954 +694 194 5 875727143 +618 133 4 891307784 +851 1276 2 875730601 +535 187 2 879617701 +186 1385 2 879023968 +825 249 3 880755693 +831 260 2 891354371 +257 86 4 879547655 +480 302 4 891207539 +698 707 2 886366814 +569 288 3 879793228 +542 423 4 886532676 +6 285 3 883599431 +526 1007 3 885682657 +524 526 3 884636907 +543 188 4 877545717 +462 873 4 886365706 +190 237 5 891033773 +234 631 3 892334577 +916 1401 3 880844262 +158 1303 3 880134865 +846 513 5 883947589 +551 1220 5 892784524 +405 429 5 885545200 +911 923 4 892842509 +637 742 4 882904233 +457 528 5 882397543 +568 127 4 877907050 +116 650 2 876452806 +715 173 5 875963998 +804 637 3 879444943 +942 892 3 891282644 +894 316 4 888280105 +293 88 3 888907266 +621 55 5 874963594 +603 326 4 891956344 +933 559 2 874938808 +478 96 2 889396509 +621 40 3 874963273 +450 571 2 882471604 +336 734 1 877757516 +890 234 5 882404484 +655 722 1 887431047 +559 1556 3 891033759 +374 457 1 880392626 +543 265 4 877545356 +751 431 4 889134705 +896 73 3 887159368 +846 44 1 883947737 +757 562 3 888466737 +932 430 4 891249849 +815 217 3 878696681 +902 497 5 879465894 +889 237 4 880176874 +132 100 4 891278744 +577 559 3 880474903 +210 173 4 887730264 +373 684 4 877098784 +593 742 4 888872002 +676 294 4 892685591 +357 748 5 878951101 +870 1090 2 879902161 +758 147 4 881977021 +608 163 1 880405085 +406 657 5 884630493 +898 358 4 888294739 +334 527 3 891546231 +544 304 3 884795135 +768 15 2 883835210 +411 603 5 892845986 +893 820 3 874829161 +504 612 4 887838677 +863 1680 2 889289570 +794 14 5 891034956 +145 338 3 882181335 +847 426 2 878940485 +498 64 4 881956575 +870 469 4 875679958 +943 421 2 888639351 +380 79 4 885479104 +727 1165 2 883709948 +505 173 3 889333534 +699 596 3 884152780 +749 111 3 878848405 +843 627 2 879447718 +49 577 1 888069329 +664 356 3 876526685 +919 21 2 875289356 +886 1065 4 876033731 +659 64 4 891384152 +814 234 3 885410957 +705 862 1 883427875 +859 257 2 885775330 +793 235 3 875104068 +826 22 5 885690481 +790 944 1 885157299 +653 628 4 878866413 +828 24 4 891035864 +815 671 4 878695679 +486 269 4 879874388 +486 883 3 879874388 +392 837 5 891038466 +833 106 2 879818799 +654 845 4 887863613 +264 275 5 886122706 +533 483 4 879438470 +840 419 5 891208897 +104 678 2 888442404 +776 440 2 892920480 +498 7 3 881954741 +897 423 5 879994113 +535 211 4 879617489 +939 1051 5 880262090 +815 402 5 878695438 +807 222 4 892528174 +682 318 4 888517168 +917 278 3 882911767 +842 1395 4 891218060 +246 735 4 884921679 +887 470 3 881380773 +407 151 4 876340363 +785 318 4 879439232 +844 568 4 877387964 +454 498 3 888267559 +18 174 4 880130613 +872 313 5 888478786 +889 268 4 880176620 +715 122 4 875962718 +872 928 2 888479582 +881 392 5 876538155 +890 50 5 882405807 +236 333 3 890117748 +846 693 5 883949335 +804 292 2 879441099 +846 265 5 883947630 +551 326 4 892775612 +632 877 1 879459777 +838 70 4 887066207 +883 11 2 891696824 +883 603 4 891755017 +115 185 5 881171409 +863 334 5 889289353 +936 129 4 886832134 +875 55 3 876465370 +13 549 4 882399357 +437 23 4 880140288 +749 586 4 878850657 +747 504 5 888640605 +880 685 4 880167083 +896 430 3 887159234 +885 582 2 885714487 +846 772 4 883949421 +181 1366 1 878962200 +796 257 5 892660283 +454 275 2 888267419 +861 1009 5 881274857 +774 8 1 888556090 +664 642 4 876526554 +374 806 3 880396659 +942 97 5 891283239 +896 1471 1 887235026 +336 210 5 877757700 +747 732 3 888639138 +328 299 2 885044904 +5 383 3 875636588 +758 568 4 881977669 +540 270 4 882156731 +294 515 5 889242081 +494 300 5 879540593 +840 154 3 891204564 +886 1019 4 876031695 +728 319 3 879442612 +129 310 2 883244011 +464 510 4 878355167 +900 483 4 877833924 +733 1338 4 879536608 +541 99 4 883874717 +733 591 3 879535440 +452 474 3 875263067 +619 233 4 885954158 +889 282 4 880177246 +878 191 4 880866564 +633 50 4 875326664 +533 192 3 879438486 +752 900 4 891207791 +497 128 4 879362496 +805 393 3 881705843 +880 240 4 880167151 +495 378 5 888634896 +727 410 2 883709710 +363 385 4 891497129 +881 233 3 876538922 +847 220 4 878939327 +727 1025 2 883708149 +823 187 5 878438148 +937 93 4 876780336 +532 447 4 888630205 +585 1501 4 891284393 +779 235 4 875502286 +878 650 2 880866883 +763 59 5 878915765 +347 421 2 881653635 +660 172 4 891199017 +403 1 4 879785974 +771 588 5 880659815 +681 289 5 885410009 +501 829 3 883348656 +393 507 2 889554859 +391 301 4 877399745 +566 496 5 881649428 +615 699 3 879448823 +768 475 2 883835210 +86 326 3 879570423 +625 385 4 892053920 +663 628 4 889492615 +932 736 3 891249261 +643 515 4 891445140 +327 749 3 887743644 +115 192 5 881171137 +586 735 3 884066230 +805 436 3 881695347 +718 597 5 883348938 +663 147 3 889493069 +721 331 3 877137285 +823 654 5 878437703 +650 450 1 891382877 +776 431 4 891628916 +226 12 5 883889322 +773 168 5 888539425 +927 866 4 879181621 +843 657 3 879443668 +495 1188 5 888637147 +430 523 4 877226568 +707 425 5 886287268 +896 484 4 887159302 +727 739 4 883711735 +671 570 3 884036411 +648 384 4 884882235 +629 86 5 880117163 +552 126 4 879221876 +524 310 4 884701677 +711 662 3 879993918 +385 30 5 879442988 +892 117 4 886611161 +826 1228 3 885690900 +595 460 4 886921699 +653 15 3 878854383 +880 82 3 880167806 +686 2 3 879546443 +744 481 3 881171420 +321 705 3 879439812 +726 763 2 889831115 +688 1127 5 884153606 +506 443 4 874874760 +864 290 3 888892053 +873 286 2 891392091 +868 1509 1 877111487 +425 64 4 878738245 +655 794 1 887431019 +759 471 4 881476969 +102 879 3 879443144 +65 237 4 879217320 +416 869 3 892439992 +772 752 3 889028773 +782 325 2 891498720 +531 329 5 887049081 +154 641 5 879138831 +280 9 5 891700664 +158 195 5 880134398 +474 259 1 887914878 +821 237 5 874792491 +851 64 5 875731674 +268 388 1 875743979 +880 249 4 880166966 +343 531 5 876404539 +378 470 3 880056104 +299 855 4 889502087 +796 1297 2 893047504 +667 660 4 891035164 +676 892 4 892685900 +437 156 2 880140627 +903 528 4 892760784 +405 1552 1 885546636 +528 204 5 888522547 +721 359 3 877137359 +633 237 4 875324891 +606 451 3 880927247 +406 100 4 879446062 +933 218 3 874854678 +273 307 2 891292761 +318 735 5 884496182 +60 603 5 883326652 +729 338 1 893286373 +741 682 3 891455960 +645 1159 4 892054632 +864 561 4 888888937 +189 179 5 893265478 +621 721 4 874963126 +873 289 2 891392577 +678 100 5 879544750 +113 333 4 875935609 +533 580 3 879192034 +833 89 5 875124495 +233 304 5 877665323 +442 172 5 883389580 +687 294 3 884651894 +660 800 2 891201675 +568 427 4 877907720 +708 15 3 877325404 +707 111 4 880060420 +286 3 2 876522316 +95 238 5 880570823 +868 579 1 877108241 +770 333 5 875971612 +422 295 3 875130063 +880 456 3 880175270 +611 342 3 891636223 +877 727 4 882677967 +682 716 2 888522074 +622 257 3 882590485 +185 480 4 883526267 +709 144 3 879846622 +468 531 4 875295368 +733 277 1 879536523 +889 357 4 880177906 +843 258 4 879442947 +921 929 1 879380142 +943 161 4 888639772 +445 994 1 891199682 +222 628 5 877563485 +731 484 3 886179289 +262 216 3 879793216 +592 47 5 882955889 +276 97 3 874787549 +653 693 1 880151651 +661 1 5 876016545 +865 546 1 880143917 +840 50 4 891203366 +943 720 1 888640048 +478 762 4 889388161 +654 25 1 887863381 +788 586 2 880871490 +807 172 5 892528515 +84 756 3 883452765 +869 515 5 884493279 +790 161 4 885157181 +381 196 5 892697083 +772 748 3 877533625 +311 227 4 884365617 +650 355 2 891369190 +716 260 1 879793001 +870 340 3 882464808 +501 696 4 883348185 +836 322 2 885753639 +109 358 2 880562908 +453 257 3 877552590 +878 19 4 880865470 +13 811 5 882139829 +763 212 4 878920656 +867 56 5 880078818 +614 293 3 879464157 +883 276 5 891717462 +684 393 4 878761751 +537 276 4 886029806 +324 273 5 880575449 +872 278 3 888479206 +870 65 3 879713898 +943 23 4 888638897 +361 47 4 879440516 +870 333 3 882123130 +889 85 3 880181976 +463 275 5 877385287 +868 636 3 877103449 +7 144 5 891351201 +887 562 5 881381071 +536 694 5 882360622 +836 327 3 885753639 +666 81 4 880314194 +873 313 5 891392177 +943 928 5 875502074 +896 836 3 887158635 +871 937 3 888192689 +577 234 3 880474257 +476 430 4 883364143 +234 93 3 891227771 +796 144 5 892662524 +110 29 3 886988374 +871 195 5 888193274 +817 329 4 874815649 +699 7 2 878882272 +269 1005 4 891447427 +845 1238 2 885409374 +929 480 3 879639969 +920 292 3 884220058 +508 527 5 883775361 +868 239 3 877107924 +359 50 5 886453271 +687 323 2 884651894 +383 166 4 891192858 +500 168 4 883873616 +308 172 4 887736532 +881 56 1 876962037 +934 83 4 891191831 +833 291 3 879818619 +357 283 5 878951616 +694 141 5 875727399 +815 529 5 878694854 +796 447 3 893218485 +653 125 2 878866973 +659 610 3 891332044 +917 535 4 882912385 +174 284 4 886433771 +751 196 4 889133039 +773 737 3 888539064 +145 77 3 875272348 +198 204 3 884207584 +854 302 3 882811836 +878 462 4 880866509 +916 239 3 880844627 +838 210 4 887067359 +805 708 3 881699661 +623 603 4 891034294 +505 207 3 889334004 +854 203 4 882813933 +773 170 5 888538980 +716 636 2 879796651 +795 169 5 880567884 +642 584 4 885842877 +774 91 1 888558018 +889 718 4 880176807 +882 423 5 879878486 +308 1121 3 887737647 +585 640 2 891284816 +297 208 4 875049192 +590 1331 4 879439645 +15 938 3 879455233 +279 375 1 884556678 +299 747 4 889502640 +398 427 4 875657734 +659 476 3 891331534 +716 200 4 879795606 +934 526 2 891192197 +864 423 5 888887739 +882 11 4 879867816 +873 321 1 891392577 +707 641 1 886285907 +353 898 2 891402587 +833 508 5 875035953 +393 689 3 887742991 +703 323 2 875242281 +521 273 3 884476168 +864 663 4 888887248 +795 151 3 880558562 +897 416 5 879991186 +829 294 2 881707829 +780 520 4 891363904 +280 245 3 891700185 +677 294 5 885191227 +773 89 4 888540020 +568 604 4 877907156 +862 423 4 879305273 +814 441 2 885411347 +766 523 3 891309011 +385 1535 4 879448294 +807 826 3 893082505 +794 116 5 891035307 +488 79 4 891294334 +805 204 2 881704016 +716 209 3 879795543 +43 1055 2 883955969 +450 1297 4 882812635 +643 174 4 891446652 +788 720 3 880870482 +869 253 4 884493279 +504 121 4 887831642 +829 259 2 881707829 +680 14 5 877075079 +887 288 4 881378040 +62 673 2 879375323 +666 97 4 880139642 +24 223 5 875322727 +880 619 4 880243499 +437 961 5 881002323 +752 331 4 891208036 +757 204 4 888468577 +660 281 3 891198588 +301 24 4 882074312 +85 474 5 879454500 +880 246 5 892958837 +847 174 4 878941168 +648 743 1 884367366 +846 514 3 883947590 +456 367 3 881373900 +696 286 5 886403578 +854 124 5 882814570 +831 905 4 891354020 +846 441 4 883950252 +864 237 4 878179514 +907 647 3 880159844 +763 83 3 878917877 +804 94 4 879446194 +671 546 5 884036050 +380 179 3 885478313 +918 417 2 891988521 +828 70 3 893186210 +892 625 3 886610565 +345 12 5 884901701 +776 91 4 891628752 +712 238 3 874730206 +786 546 4 882844294 +746 385 5 885075367 +825 982 5 881184695 +916 1220 3 880845282 +96 514 4 884402977 +606 81 3 880924921 +497 416 2 879363611 +897 99 5 879994113 +328 275 4 885046420 +792 840 2 877910539 +72 271 1 880036346 +878 482 4 880866134 +426 484 5 879444662 +707 483 5 886286004 +592 893 1 882955292 +58 491 4 891611593 +870 354 4 889409590 +865 148 3 880144194 +741 209 3 891457342 +878 9 4 880865562 +393 384 3 889729508 +643 161 3 891449381 +537 89 4 886030862 +889 544 3 880177104 +884 323 2 876857745 +216 65 4 880233939 +883 387 5 891696750 +865 271 1 880142778 +527 275 3 879455961 +653 191 5 880150019 +872 905 4 888479034 +782 312 4 891498436 +95 110 2 880572323 +881 456 1 879052291 +722 294 2 891280219 +931 127 5 891037521 +705 419 3 883427663 +712 418 3 874730553 +71 98 4 885016536 +805 21 2 881705055 +900 1132 1 877833364 +393 748 3 887742851 +495 633 5 888632738 +580 288 5 884125658 +620 82 5 889988146 +900 871 1 877833443 +256 984 3 882150192 +836 292 5 885753475 +796 449 4 893048622 +493 1013 1 884131777 +892 425 5 886608977 +301 367 4 882076619 +524 495 4 884635358 +802 134 3 875985347 +859 1048 3 885775767 +456 191 3 881372849 +870 265 4 880584497 +558 9 4 879436069 +883 519 5 891717283 +758 93 5 881975922 +704 300 2 891396674 +524 269 4 884287379 +421 525 4 892241422 +645 654 5 892053686 +881 192 5 876537577 +851 1105 4 890862961 +698 1020 2 886367558 +59 380 3 888205956 +126 286 3 887853469 +526 285 5 885682503 +254 112 2 886473631 +889 408 3 880176960 +887 284 4 881378669 +886 685 2 876032378 +223 477 3 891550144 +826 849 4 885690750 +921 215 4 879380677 +304 879 3 884966972 +901 259 2 877129839 +848 393 5 887047962 +486 547 3 879874753 +405 703 2 885546112 +865 222 2 880143482 +910 298 2 880821124 +438 301 4 879867960 +349 546 3 879466200 +886 496 4 876031952 +809 245 3 891037127 +453 282 4 877561382 +25 79 4 885852757 +833 175 4 875124535 +815 195 4 878695278 +883 796 3 891696782 +85 1039 4 879453903 +749 429 4 878847461 +458 1039 5 886397275 +517 328 3 892660034 +577 183 5 880474747 +699 471 3 879147597 +752 354 2 891208261 +593 121 4 875660036 +286 473 3 875806918 +864 692 2 888890316 +863 350 1 889289457 +437 1142 4 880141696 +648 864 3 882211418 +804 161 4 879442269 +776 674 3 892920321 +453 82 3 877561694 +347 105 2 881653198 +784 304 4 891387501 +894 10 4 880416381 +868 139 1 877109300 +939 597 4 880261610 +663 591 3 889492759 +921 202 4 884673891 +647 77 4 876533851 +290 136 4 880474367 +540 117 4 882157706 +788 180 4 880869174 +663 42 5 889493732 +720 319 3 891263340 +708 151 4 892719211 +865 71 1 880235059 +806 1098 4 882387925 +862 519 4 879304326 +645 30 4 892054824 +667 268 3 891034404 +650 315 3 891368885 +769 222 4 885423824 +566 693 5 881649727 +313 216 4 891013525 +666 498 5 880139669 +883 1009 4 891692811 +588 29 3 890027063 +655 13 3 887426237 +851 473 4 874728396 +394 12 4 880887035 +804 969 4 879442687 +916 5 3 880845099 +648 585 3 884882234 +606 127 4 878143509 +754 295 4 879451626 +846 490 4 883947862 +854 757 3 882814235 +497 622 2 879363586 +650 499 3 891372316 +896 658 4 887159895 +647 177 5 876534131 +694 490 4 875727877 +663 129 3 889492503 +715 176 5 875963792 +864 629 3 888888282 +668 596 3 881591297 +627 135 4 879529702 +177 210 4 880130990 +643 656 4 891447196 +834 323 2 890860471 +503 237 4 879438505 +642 569 2 886569538 +218 288 2 877487931 +239 509 5 889180071 +286 101 5 877532204 +771 381 3 880659970 +864 735 5 888886882 +788 44 4 880869434 +716 213 5 879795906 +854 151 4 882812451 +838 28 4 887065709 +890 404 4 882915696 +592 299 1 882607573 +450 725 3 882469863 +880 568 5 880167843 +437 117 1 881001121 +943 450 1 888693158 +151 491 4 879524536 +735 50 5 876698683 +56 636 4 892683533 +870 772 4 875679767 +823 708 4 878438930 +627 511 4 879529986 +255 219 5 883216544 +780 419 4 891363826 +840 708 4 891209033 +551 9 5 892776982 +222 98 4 878181387 +230 499 4 880484870 +893 815 3 874830372 +405 443 4 885548330 +798 1285 3 876177330 +889 33 5 880180817 +737 32 4 884314993 +846 630 3 883948642 +854 150 3 882812314 +731 64 5 886179040 +748 271 3 879454302 +750 327 4 879446013 +409 890 1 881105677 +8 243 2 879361732 +886 1267 3 876032072 +280 423 5 891700276 +774 585 1 888556225 +541 172 5 884645816 +727 556 2 883713632 +653 521 4 878854441 +643 2 3 891448218 +746 22 4 885075211 +665 546 2 884291376 +734 28 4 891022627 +864 9 5 877214236 +885 662 3 885714362 +883 661 4 891718914 +579 210 3 880951944 +395 515 4 883765297 +566 234 3 881650148 +410 303 3 888626583 +346 720 2 875265528 +702 751 4 885767576 +452 153 4 875276361 +416 631 3 886316295 +788 1183 2 880871891 +497 441 2 879362407 +354 8 5 891217160 +882 275 5 879861678 +758 240 3 882053986 +864 25 4 888888240 +894 315 4 885428012 +793 118 2 875104119 +655 504 5 887650683 +697 235 4 882622188 +676 272 4 892685224 +545 1188 3 883115515 +232 172 4 888549412 +113 742 3 875076827 +634 546 4 875729535 +506 712 3 874873893 +886 202 3 876032509 +878 194 4 880869911 +932 646 4 891250498 +707 387 4 886287733 +756 739 4 874829743 +868 145 1 877109082 +655 676 2 887426665 +901 662 4 877132632 +655 1238 2 888474843 +727 28 5 883710075 +429 231 2 882385489 +860 220 3 885145702 +629 270 3 880116023 +837 763 1 875722123 +495 655 5 888634536 +651 127 4 879348965 +715 254 1 875962762 +922 153 4 891451037 +790 373 3 885158459 +844 207 4 877387392 +561 433 1 885808867 +399 28 2 882344134 +431 328 4 877844377 +538 528 5 877107536 +796 665 2 893048622 +660 435 4 891199883 +416 1337 1 876698083 +475 269 4 891451276 +843 435 2 879446477 +155 300 2 879370963 +816 328 4 891710968 +675 86 4 889489574 +698 435 3 886366980 +840 186 4 891204827 +533 53 1 879191621 +486 1611 3 879874692 +828 328 3 891033988 +506 739 4 874874525 +871 360 3 888192475 +618 111 3 891308946 +84 815 4 883452462 +796 356 4 893194646 +841 313 5 889066779 +886 783 1 876033784 +758 223 5 881975119 +896 83 5 887159554 +543 568 3 877547005 +747 83 4 888732571 +803 325 4 880054885 +805 629 3 881704553 +903 282 4 891031384 +332 385 5 888098398 +898 689 3 888294842 +470 273 3 879178370 +846 11 5 883948343 +848 606 4 887038441 +506 204 5 874874055 +457 367 4 882396989 +864 569 3 888891794 +846 662 3 883948765 +823 425 5 878438298 +871 1431 4 888192971 +416 520 5 893214225 +503 347 5 884637610 +388 294 4 886439561 +21 15 4 874951188 +833 521 4 875124495 +764 1046 4 876244895 +764 692 4 876246358 +588 12 5 890015324 +793 100 4 875104031 +498 269 4 881953527 +655 966 3 887477409 +823 170 4 878438357 +738 550 3 875351603 +881 654 4 876539156 +705 97 3 883518765 +930 1315 3 879534692 +650 625 3 891387616 +568 1125 4 877907281 +416 235 2 885115041 +936 813 5 886832222 +896 719 1 887235026 +256 274 5 882151456 +331 8 3 877196444 +459 294 5 879561755 +882 132 5 879864970 +524 92 4 884635171 +846 226 4 883948495 +682 245 3 888516841 +885 655 3 885713294 +919 681 2 875920347 +178 823 2 882824592 +448 1062 5 891888178 +749 227 4 878848189 +865 118 1 880144229 +833 234 3 875122884 +620 172 4 889988146 +207 18 2 877878739 +749 763 1 878848483 +308 449 3 887741003 +793 240 4 875104565 +880 380 3 880242281 +327 175 2 887744205 +828 547 2 891035864 +523 863 4 883700743 +303 1041 2 879485507 +648 95 3 884368371 +210 132 4 887736206 +758 175 4 881976061 +669 168 4 891517259 +378 473 3 880906178 +901 1041 5 877131443 +401 584 3 891033227 +782 1668 3 891500067 +728 287 4 879443155 +837 250 2 875722104 +707 443 3 886287191 +826 540 3 885690854 +886 10 3 876032030 +866 889 2 891221006 +889 687 2 880177797 +831 313 5 891354000 +236 282 5 890117028 +543 200 4 874864870 +813 9 3 883752051 +496 699 3 876068220 +345 980 4 884991688 +620 78 4 889988340 +890 480 5 882403477 +826 1409 2 885690442 +673 307 3 888787355 +883 724 4 891696689 +392 604 5 891039015 +454 687 3 881959468 +830 229 2 891561937 +759 748 4 875227708 +326 199 5 879875552 +177 144 5 880131011 +332 350 4 891214762 +884 268 4 876857704 +95 946 3 888956489 +457 225 4 882395825 +299 408 4 877877847 +151 1050 4 879524879 +943 765 3 888640227 +834 307 4 890860566 +870 503 4 879713899 +732 288 4 882590200 +865 847 5 880143386 +795 91 5 881265483 +519 874 5 883250102 +895 275 5 879438011 +774 318 1 888556483 +833 194 3 875133840 +520 893 2 885170330 +504 161 4 887839195 +405 1564 1 885546288 +807 588 5 892530251 +374 220 2 882158147 +387 588 3 886480163 +880 7 3 880166872 +735 764 3 876698837 +380 196 4 885479777 +926 340 4 888351623 +72 197 5 880037702 +815 1 5 878691975 +710 202 3 882063793 +535 614 5 879618850 +645 506 5 892055072 +378 64 4 880055239 +533 292 4 883583127 +269 11 3 891448365 +762 934 1 878719406 +311 131 3 884365252 +141 742 4 884584930 +798 472 3 875638178 +846 562 5 883950463 +87 1180 3 879877127 +497 232 3 879310850 +731 486 4 886182556 +99 789 4 885680176 +709 554 4 879848744 +939 1277 5 880261945 +899 121 5 884120164 +916 177 3 880844312 +500 10 3 883865391 +921 228 3 884673823 +716 230 3 879797198 +751 172 5 889133129 +642 368 4 885606271 +889 31 3 880178449 +303 687 1 879544923 +398 607 3 875720467 +856 289 1 891489525 +886 726 1 876033340 +495 418 4 888633440 +936 118 3 886833516 +835 1063 4 891034285 +933 367 4 874854190 +788 112 3 880871173 +90 69 1 891383424 +916 210 4 880844694 +773 288 2 888538199 +11 213 4 891906389 +788 9 4 880869508 +378 1092 3 880332683 +374 1206 2 880396080 +766 176 2 891308927 +843 420 3 879448073 +779 121 3 875503280 +741 1016 3 891458249 +805 451 5 881696759 +537 733 3 886031297 +504 664 3 887910718 +942 357 4 891283239 +840 580 3 891211972 +905 129 4 884984009 +923 291 4 880387707 +336 25 3 877756934 +90 753 4 891385751 +788 879 4 880867422 +907 283 4 880158827 +932 968 4 891250816 +123 187 4 879809943 +934 1285 3 891196516 +796 237 5 893047126 +798 577 2 875639441 +933 168 3 874853869 +943 98 5 888638980 +235 96 4 889654971 +854 194 3 882814235 +747 655 3 888639685 +327 161 3 887820417 +539 340 2 879787771 +842 315 3 891217834 +276 187 5 874791102 +828 512 5 891037948 +464 259 4 878354859 +921 603 3 884673868 +144 72 4 888105338 +861 529 5 881274718 +806 47 4 882387563 +792 596 3 877910241 +776 483 5 891628731 +527 475 3 879455847 +598 751 3 886710494 +130 88 2 875217265 +385 568 3 879446465 +587 260 4 892871284 +934 660 5 891194836 +804 1139 3 879446145 +709 849 4 879848590 +18 612 4 880131591 +758 105 2 882054936 +234 655 3 892333616 +843 473 2 879449193 +666 653 4 880139120 +785 56 4 879438920 +903 179 5 891466376 +314 1047 4 877886279 +721 269 5 877135269 +514 796 4 876067205 +326 202 4 879875724 +907 275 5 880158692 +9 7 4 886960030 +11 356 4 891906327 +716 210 5 879796651 +782 349 3 891498720 +932 649 4 891251199 +721 58 2 877140781 +592 97 4 882956718 +804 99 4 879442984 +73 96 2 888626523 +34 289 1 888602950 +460 19 5 882912418 +912 15 4 875967028 +797 336 2 879439136 +709 121 4 879848475 +896 190 5 887159530 +907 520 5 880159865 +721 942 4 877147140 +394 91 4 880886821 +618 172 5 891307098 +875 332 3 876464801 +454 81 1 888266433 +776 551 3 892920480 +805 665 4 881684185 +551 162 5 892783242 +592 526 5 882956241 +770 222 4 875973686 +825 871 3 880932283 +894 903 4 888280029 +682 932 1 888522017 +736 294 3 878709025 +807 386 4 893080516 +848 215 5 887046565 +870 514 5 875050637 +792 125 3 877910539 +451 358 1 879012550 +839 255 3 875752138 +880 571 2 880175187 +790 391 2 885158299 +883 319 3 891691560 +624 121 3 879793156 +95 671 3 880571045 +716 294 4 879793653 +796 429 4 892690102 +774 406 1 888559013 +541 931 3 883875370 +756 141 3 874831227 +774 732 1 888556814 +704 488 5 891397570 +893 118 4 874828864 +697 546 4 882622626 +872 826 3 888479654 +274 234 5 878946536 +112 888 4 886398699 +447 50 5 878854552 +825 118 4 880756725 +740 332 3 879522681 +805 13 3 881704063 +840 528 5 891209260 +861 582 2 881274796 +769 118 4 885424099 +844 255 3 877382008 +854 1226 4 882814571 +486 106 1 879875408 +883 1592 5 891692168 +224 924 3 888103646 +187 710 4 879465242 +738 252 4 875349045 +610 480 5 888702962 +848 166 5 887038159 +426 136 4 879442083 +887 597 5 881378325 +682 28 3 888516953 +904 216 4 879735461 +765 507 5 880347034 +538 276 1 877107340 +840 519 5 891204356 +588 178 5 890015323 +468 65 3 875294549 +647 1063 3 876776320 +870 582 5 879713817 +606 284 4 878148425 +523 432 5 883701800 +524 302 5 884287406 +622 763 4 882591047 +924 7 4 885458060 +313 176 4 891013713 +933 151 4 874853977 +128 275 5 879967016 +766 226 3 891310150 +452 1255 2 876298932 +877 549 4 882677935 +189 28 4 893266298 +424 969 1 880859385 +880 49 3 880174858 +916 561 3 880845227 +188 635 2 875074667 +345 244 3 884994658 +666 381 3 880139349 +315 163 3 879821158 +940 792 2 885921892 +733 273 4 879535603 +886 26 4 876032929 +665 96 3 884293831 +721 321 3 877137447 +894 179 5 882404485 +94 188 4 885870665 +556 286 4 882135437 +94 159 3 891723081 +848 527 3 887038280 +886 81 4 876032531 +766 194 3 891309117 +605 245 3 879366335 +347 11 5 881653544 +279 547 1 875295812 +660 393 2 891201541 +655 462 3 888474960 +751 631 5 889297711 +414 313 4 884998953 +804 373 2 879447476 +843 50 3 879444670 +716 183 2 879796279 +642 725 4 885606067 +435 444 3 884134075 +865 455 4 880143612 +763 171 3 878915015 +507 1016 5 889966088 +81 717 2 876533824 +848 433 3 887043180 +790 561 3 885158082 +805 509 5 881698095 +393 982 3 889731649 +1 126 2 875071713 +603 210 4 891957110 +699 683 3 880695597 +363 1056 4 891496169 +905 116 3 884984066 +617 653 4 883788955 +214 182 4 891544175 +901 28 5 877131624 +544 270 3 884795135 +343 72 5 876407706 +627 125 2 879530346 +887 412 5 881379188 +308 504 4 887738570 +828 59 5 891036972 +296 469 5 884197264 +807 1039 4 892528324 +886 79 5 876032884 +896 1004 2 887161542 +15 322 3 879455262 +889 1142 4 880176926 +882 739 4 879880131 +738 313 5 892938181 +643 568 4 891447663 +850 50 5 883195143 +389 419 3 880087003 +405 1192 1 885545975 +712 762 4 874956244 +833 79 3 875039254 +690 148 3 881178365 +293 85 3 888906927 +6 496 4 883601155 +621 1016 4 880737785 +692 476 3 876953279 +405 213 2 885549309 +555 89 4 879975438 +798 420 3 876175937 +445 1534 1 891199749 +897 98 5 879990361 +28 444 3 881961728 +942 1028 4 891283209 +373 170 5 877098751 +698 183 3 886366916 +447 471 4 878854340 +938 111 5 891356742 +486 251 5 879874582 +859 282 3 885774964 +854 1016 2 882812406 +862 521 5 879304762 +496 252 2 876065105 +664 449 2 876526718 +834 544 4 890862563 +568 735 2 877907327 +694 138 3 875730082 +391 228 2 877399486 +876 289 3 879428145 +844 99 3 877388040 +783 299 5 884326620 +676 480 5 892686666 +833 460 2 875036827 +748 97 4 879454848 +916 68 3 880845636 +848 805 5 887048111 +523 694 5 883703048 +795 123 4 880558447 +840 216 4 891205123 +361 202 3 879440941 +489 360 5 891362904 +793 273 3 875103942 +864 275 4 878179445 +918 133 1 891987267 +870 180 3 875679860 +452 196 4 875275763 +567 612 4 882427124 +18 212 5 880129990 +840 516 5 891205245 +248 343 4 884534436 +667 9 5 891034831 +684 172 5 875812299 +606 98 5 880923925 +851 160 5 875731224 +311 241 3 884364695 +399 541 3 882345622 +869 125 3 884491867 +666 811 4 880568396 +167 674 2 892738384 +406 124 4 879446588 +774 410 1 888558762 +235 970 4 889655204 +665 255 4 884290608 +455 463 4 879111737 +652 275 4 882567294 +807 520 5 892529358 +659 218 4 891384798 +655 451 3 887428280 +648 596 3 882211419 +267 1240 5 878974783 +406 483 4 879446062 +882 211 4 879867431 +643 67 4 891449476 +642 734 3 886569960 +654 274 4 887863635 +334 236 4 891544765 +690 781 2 881177662 +788 715 3 880871664 +905 748 2 884983627 +1 83 3 875072370 +880 577 3 880175207 +828 1062 4 891380166 +751 428 4 889297239 +518 744 4 876823266 +796 269 3 892610692 +870 763 4 879902059 +380 610 2 885478886 +301 425 4 882077033 +886 195 4 876032030 +486 713 3 879874902 +869 116 4 884490892 +682 237 3 888517324 +936 748 2 886831738 +827 269 5 882201356 +10 23 5 877886911 +110 576 2 886988574 +566 144 3 881649530 +421 269 3 892241210 +880 779 3 880167965 +424 690 3 880858792 +709 559 3 879848209 +852 259 4 891036414 +854 328 1 882811865 +922 476 1 891455167 +541 501 4 883874682 +101 763 3 877136789 +896 28 2 887158738 +788 655 3 880868644 +934 175 4 891190854 +780 210 5 891364027 +91 300 4 891438004 +543 469 4 875663056 +11 173 5 891904920 +686 654 5 879546954 +717 742 5 884642427 +705 83 4 883518834 +906 742 3 879435278 +889 54 3 880182815 +765 10 4 880346308 +897 230 4 879991607 +730 294 4 880309996 +862 96 4 879305051 +782 1393 2 891498512 +843 7 5 879443297 +276 172 5 874792435 +704 214 2 891398702 +96 196 4 884403057 +334 121 3 891545067 +160 59 4 876858346 +892 636 4 886609884 +682 1047 3 888521803 +761 748 4 876189614 +321 419 4 879439620 +504 292 5 887831273 +620 595 5 889987792 +588 88 5 890024730 +716 274 5 879793631 +741 196 5 891018460 +782 534 3 891500109 +234 1449 4 892333573 +893 151 4 874829427 +881 685 2 876536877 +844 83 5 877388183 +896 1194 3 887158604 +896 1042 2 887161151 +911 93 4 892839784 +246 597 2 884921965 +943 559 4 888639638 +925 563 2 884718204 +934 190 4 891191660 +579 70 3 880952299 +640 33 3 874778696 +894 61 4 882404572 +790 1188 3 885157984 +548 300 5 891044304 +908 47 3 879723095 +833 1386 4 875035660 +592 298 5 882608061 +749 4 4 878847863 +846 373 3 883950391 +91 294 3 891438288 +655 534 2 887693376 +878 732 4 880869302 +758 82 4 881976168 +889 177 4 880178183 +823 625 4 878438807 +58 354 3 890321652 +849 234 5 879695469 +533 739 5 882902988 +230 143 5 880484501 +889 473 4 880177503 +632 173 5 879458649 +268 408 5 875742316 +882 79 5 879878486 +790 687 1 884461162 +887 240 5 881378972 +934 302 4 891188367 +749 48 3 878848015 +806 6 2 882385063 +428 288 4 885943847 +886 466 1 876032577 +930 237 3 879534587 +650 491 3 891385775 +332 276 3 887938299 +875 135 4 876465188 +662 1342 4 880570112 +883 971 3 891693200 +886 449 3 876033784 +539 59 5 879788224 +279 284 1 886015853 +405 1419 2 885548137 +732 243 5 882589879 +343 22 4 876406181 +264 430 5 886123531 +227 319 4 879035072 +766 1298 3 891309736 +893 258 3 874827508 +788 553 3 880869687 +624 1012 4 879793408 +597 275 4 875339876 +698 89 4 886366454 +846 430 3 883947778 +682 732 3 888517740 +880 477 3 880166966 +881 527 3 876537900 +233 660 5 877661634 +479 199 5 879460863 +566 64 5 881649530 +798 585 3 875743912 +889 91 4 880180784 +183 739 4 891467353 +450 322 4 882370316 +925 245 3 884633287 +901 121 4 877127219 +810 323 4 879895314 +586 182 3 884066016 +940 116 2 885921741 +863 359 3 889289158 +26 760 1 891383899 +699 878 3 879382955 +328 651 5 885046580 +472 265 4 892790676 +506 63 4 874873944 +534 109 4 877808053 +641 270 3 879369827 +456 1604 4 881372849 +435 17 2 884132540 +296 250 2 884196689 +823 792 3 878438057 +897 95 3 879990586 +745 182 2 880123314 +872 820 3 888479624 +773 90 4 888539643 +896 1214 2 887159302 +305 66 3 886325023 +795 820 3 880560679 +868 200 3 877107189 +90 215 2 891385335 +526 150 2 885682370 +840 100 5 891203166 +640 591 4 875732368 +529 301 4 882535639 +789 1007 4 880332215 +269 603 5 891448871 +694 71 4 875730889 +804 153 4 879441346 +847 25 3 878775796 +939 220 5 880261658 +399 462 3 882510290 +540 1016 4 882157662 +301 258 4 882074363 +540 471 4 882157706 +707 367 4 886291531 +901 477 3 877127021 +784 300 4 891386988 +871 172 5 888193177 +345 469 5 884916274 +899 202 4 884122419 +921 240 1 879379621 +780 705 5 891363685 +833 55 3 875038807 +314 585 2 877890381 +132 664 5 891278996 +7 211 5 891352557 +629 238 5 880117285 +635 246 5 878879190 +899 153 5 884122331 +553 631 5 879948695 +727 67 4 883712652 +505 11 4 889333861 +880 105 3 880175077 +852 25 3 891036802 +560 121 3 879976705 +702 271 1 885767534 +323 64 5 878740017 +777 223 4 875980306 +790 116 4 884461334 +638 188 3 876694995 +703 15 5 875242814 +885 169 5 885714820 +826 1240 5 885690442 +896 202 2 887159464 +592 471 4 882608234 +758 311 4 880672321 +709 273 4 879847686 +940 321 4 884801316 +429 284 3 882386424 +188 50 4 875072741 +932 615 5 891249621 +938 405 3 891356847 +936 1368 5 886832337 +31 611 4 881548111 +643 7 4 891445354 +854 1 3 882812225 +864 472 4 888888861 +621 1036 1 874963446 +669 192 5 891260542 +746 121 3 885075337 +650 823 3 891381661 +788 498 5 880867933 +524 116 4 884322047 +240 286 5 885775625 +671 288 5 883950232 +282 358 3 879949594 +924 322 2 884337164 +916 163 3 880844834 +747 154 3 888733182 +667 283 4 891034947 +541 204 4 884645816 +537 30 3 886031606 +625 25 2 891632018 +840 45 4 891205222 +712 1055 4 874730155 +472 200 4 875981158 +497 541 4 879362546 +533 449 4 879191713 +130 771 2 878537631 +537 211 4 886030831 +43 73 4 883956099 +825 678 4 880757103 +771 134 4 880659482 +897 211 5 879991186 +796 565 3 893218556 +844 55 4 877387769 +863 300 5 889289157 +879 255 4 887761156 +880 64 5 880175646 +889 169 5 880177906 +496 426 3 876071419 +794 109 4 891035941 +883 315 3 891691353 +194 223 4 879547032 +456 1101 3 881374710 +451 1295 2 879012811 +240 302 5 885775536 +302 271 4 879436911 +777 238 4 875980541 +676 1234 1 892685775 +606 651 4 880926018 +894 279 4 880993709 +815 71 5 878694341 +117 252 3 881010322 +459 307 5 879561630 +896 820 2 887159926 +899 48 4 884122044 +756 323 3 874832096 +897 550 3 879990923 +697 369 5 882622481 +754 293 4 879451466 +627 528 4 879530662 +514 898 2 885180893 +844 921 5 877388183 +305 663 3 886323591 +846 1124 4 883948048 +65 471 4 879217434 +873 879 2 891392577 +457 125 4 882393343 +221 751 4 885081300 +503 124 5 879438233 +417 418 4 879647471 +833 135 4 875123677 +757 172 4 888445587 +647 197 5 876534131 +763 224 5 878919153 +707 702 3 886286193 +833 227 2 879818619 +429 136 4 882386071 +101 831 3 877136954 +460 306 4 882912418 +92 63 3 875907504 +11 393 4 891905222 +748 168 3 879454930 +889 428 4 880179536 +844 45 4 877387548 +894 508 3 880993490 +595 1028 3 886921475 +864 65 3 888890690 +256 187 3 882164444 +405 1544 1 885549095 +833 745 4 875134063 +843 164 3 879443297 +62 931 1 879373522 +588 168 5 890024002 +911 507 4 892839289 +425 11 3 878737981 +863 683 1 889289241 +560 1215 2 879977336 +416 78 2 886319785 +922 662 3 891448246 +16 480 5 877720297 +449 462 5 880410674 +690 393 4 881177616 +742 14 5 881335361 +782 270 4 891497963 +840 484 5 891204295 +747 811 3 888639735 +901 155 5 877132671 +899 222 4 884119910 +579 393 4 880952409 +862 647 5 879304369 +943 121 3 875502096 +527 878 1 879455511 +622 95 4 882669556 +916 931 1 880843798 +402 118 4 876267096 +450 111 4 882377590 +798 81 3 876177211 +861 319 5 881274504 +887 1029 5 881381740 +471 432 1 889827822 +395 750 5 883762266 +888 100 4 879365004 +922 274 3 891448247 +13 242 2 881515193 +621 1185 3 881445012 +336 591 5 877759598 +454 611 2 888266685 +234 280 3 892334803 +748 603 5 879454455 +505 181 3 889333974 +654 588 4 887864797 +286 235 4 875807003 +279 259 3 883546906 +806 271 3 882384844 +934 506 4 891193331 +862 238 4 879304624 +889 192 3 880178204 +452 94 1 888568349 +253 518 5 891628392 +888 644 4 879365054 +838 919 5 887064316 +484 720 4 891195532 +268 1110 3 876514077 +181 1079 1 878963122 +387 518 4 886483151 +318 187 4 884495742 +854 620 2 882813453 +411 79 4 892845634 +655 359 3 887424883 +775 313 4 891032837 +165 1119 3 879525922 +532 282 5 893119415 +896 1240 4 887159012 +899 291 4 884122279 +176 1097 4 886047963 +279 1481 4 875313925 +913 168 4 881725796 +18 604 5 880129731 +870 83 4 889717102 +486 544 4 879875249 +682 684 3 888520705 +758 895 4 883190310 +860 204 4 885990901 +823 640 1 878439315 +601 921 5 876351214 +833 436 2 875224252 +894 148 3 880416137 +459 127 4 879562834 +655 76 3 888813372 +497 743 3 879362638 +551 54 3 892784093 +897 378 5 879991137 +878 269 4 880865183 +648 217 2 884883616 +838 258 5 887060659 +880 876 4 892958376 +760 111 4 875666242 +847 447 3 878940890 +931 283 4 891036604 +648 629 4 882213596 +13 905 2 886302261 +829 286 4 891204271 +735 321 3 876698022 +350 427 5 882346118 +868 854 4 877103371 +915 334 3 891031477 +654 255 2 887863513 +934 257 4 891189598 +818 269 3 891870173 +933 211 4 874854251 +897 479 4 879991566 +796 478 5 892761629 +807 831 4 892530881 +804 238 4 879441727 +786 849 2 882844052 +903 89 4 891032842 +854 713 4 882812288 +851 833 3 875731105 +804 216 4 879441450 +851 340 5 883148669 +903 642 4 891033005 +452 520 3 875261100 +568 423 4 877907281 +736 748 2 878708465 +440 462 5 891577994 +833 24 4 875036213 +548 275 3 891415411 +11 451 2 891905003 +655 43 3 888474456 +798 191 4 875743458 +670 705 5 877974905 +942 322 3 891282539 +474 663 4 887924084 +630 1197 3 885667464 +757 27 4 888466683 +74 331 4 888333352 +665 33 2 884293873 +396 281 3 884646647 +882 405 4 879861939 +524 135 3 884634679 +815 660 4 878696441 +545 155 3 879902060 +541 993 4 884046295 +758 216 4 881974931 +180 40 4 877127296 +406 604 3 879446361 +94 474 5 885870322 +655 844 4 887650979 +525 282 4 881085648 +864 55 4 888887045 +763 732 3 878919206 +847 289 5 878774856 +885 274 5 885712996 +13 176 3 882140455 +916 423 3 880844654 +903 111 3 891031677 +216 129 4 880232615 +839 813 4 875752082 +537 302 4 886028446 +715 95 4 875963621 +425 1129 3 878738245 +653 96 4 878854145 +806 230 4 882388520 +756 22 3 874828592 +885 568 4 885715889 +406 531 3 879445475 +752 751 4 891208212 +913 132 3 880758150 +897 864 4 879993772 +569 471 3 879793466 +889 431 4 880179725 +931 300 5 891037521 +798 498 3 875639581 +747 288 4 888638091 +112 332 4 886398611 +936 926 4 886833191 +839 7 2 875751992 +887 22 5 881379566 +268 719 1 875744021 +896 143 4 887158901 +666 660 4 880568094 +560 168 4 879975718 +588 307 4 890014887 +331 1 1 877196567 +534 597 5 877808175 +533 255 2 882195237 +304 323 3 884967391 +804 393 3 879445072 +887 222 3 881378153 +805 214 2 881700713 +660 217 2 891200817 +888 153 4 879365154 +917 287 4 882911185 +747 367 3 888733070 +265 975 4 875320601 +870 211 3 879539713 +586 117 4 884057578 +23 181 4 874784337 +846 1218 4 883950434 +796 391 4 893048713 +523 42 3 883703495 +882 56 4 879865307 +707 632 4 886287426 +802 358 3 875984722 +872 272 4 888478822 +326 94 4 879877304 +653 670 1 880152902 +877 288 3 882675993 +548 254 1 891043999 +788 482 4 880869787 +719 655 4 879360617 +619 121 5 885953805 +931 896 3 891036080 +774 568 2 888557329 +720 321 4 891262762 +642 969 2 885603662 +756 1149 5 874827023 +851 266 3 886534672 +819 246 4 884012614 +734 144 2 891023019 +766 40 3 891310851 +922 175 3 891451240 +867 496 5 880078574 +161 177 2 891171848 +880 956 3 880242380 +731 125 3 886186940 +662 246 5 880571006 +815 945 4 878697261 +938 298 4 891356573 +847 56 1 878939975 +654 146 3 887864105 +773 42 3 888539398 +924 205 4 886327826 +337 67 4 875236631 +843 210 3 879444670 +807 28 4 892528918 +828 6 1 891035614 +840 1214 1 891211729 +406 506 4 882480802 +280 70 4 891700366 +892 613 5 886608714 +796 265 5 892761544 +632 201 4 879457641 +907 83 5 880159865 +146 294 1 891457668 +890 1 4 882402975 +886 178 5 876031829 +771 477 5 880660199 +620 406 4 889987073 +59 526 4 888204928 +405 1574 1 885546529 +854 632 4 882813797 +611 1243 3 891636244 +839 1048 1 875752990 +806 227 2 882388353 +713 752 2 888882276 +840 661 5 891204441 +749 161 3 878847461 +477 546 4 875941972 +894 1404 3 882404536 +198 89 5 884208623 +864 196 4 888887914 +568 488 5 877907782 +626 678 1 878771505 +620 94 5 889988340 +874 305 4 888632057 +751 214 4 889298463 +632 523 3 879458900 +826 578 5 885690713 +640 2 4 874778568 +7 569 4 892131978 +940 151 3 885921800 +664 566 4 876526631 +747 1020 4 888639642 +848 108 5 887040302 +808 751 3 883949560 +771 86 5 880659539 +49 652 5 888066446 +669 22 3 891517159 +924 496 5 886327689 +839 118 2 875752317 +846 705 3 883948141 +859 275 3 885774828 +548 347 2 891415257 +483 101 2 884047278 +463 313 4 889935655 +880 260 4 892958484 +822 91 3 891037394 +655 15 3 888685735 +638 202 3 876695819 +757 576 3 888469012 +869 1061 1 884492377 +617 496 1 883789080 +782 1378 2 891499494 +889 174 4 880178183 +230 422 3 880485633 +73 183 4 888626262 +902 172 4 879465522 +659 1064 5 891385866 +489 688 2 891448861 +899 255 4 884120149 +854 652 3 882813825 +883 100 4 891717462 +802 288 3 875984637 +790 928 3 884462598 +755 258 5 882569732 +503 211 5 880472435 +399 820 4 882341191 +404 938 4 883790749 +303 655 5 879483568 +698 10 4 886366652 +933 467 3 874854479 +279 833 4 875297410 +854 56 5 882814571 +864 239 4 888889466 +664 431 2 876526631 +891 111 3 891639737 +805 1629 5 881703690 +697 280 3 882622597 +544 877 2 884795612 +746 132 4 885075756 +655 803 3 888474358 +638 211 4 876695774 +614 289 2 879463669 +886 94 4 876033200 +923 105 4 880388547 +894 529 4 881625708 +510 748 3 887667707 +815 82 4 884267891 +780 204 5 891363651 +876 435 4 879428421 +798 394 4 875914484 +938 829 1 891357085 +487 204 4 883445495 +618 755 2 891309670 +843 1065 3 879448751 +786 198 5 882843753 +37 233 4 880916046 +603 250 5 891956173 +943 402 2 888639702 +883 1448 5 891695570 +806 1048 3 882385806 +883 956 4 891717885 +569 301 4 879793149 +753 272 4 891399135 +881 411 3 879052376 +527 279 4 879456438 +524 651 4 884634578 +806 45 4 882388159 +940 173 4 885921400 +561 507 4 885807429 +546 5 5 885141411 +276 685 4 874786784 +727 588 4 883710495 +535 484 5 879617819 +773 109 4 888539328 +453 763 4 877553221 +830 625 3 891561541 +453 451 2 877561836 +655 1098 3 887473905 +459 405 3 879563334 +327 83 2 887744101 +308 223 4 887737130 +622 541 2 882592781 +854 1335 2 882812288 +142 91 5 888640404 +394 123 5 880888566 +827 245 3 882807611 +801 302 4 890332645 +862 825 5 879303668 +836 531 4 885754150 +723 168 5 880498912 +807 470 5 892529448 +184 192 4 889908843 +919 558 5 875372988 +128 380 4 879968946 +611 906 2 891636223 +835 191 4 891033276 +699 286 3 880695246 +750 325 1 879446215 +838 705 5 887065750 +489 347 5 891448774 +42 168 3 881107773 +864 5 4 888889657 +221 399 3 875246459 +500 313 3 893192133 +94 86 5 891720971 +274 756 3 878946030 +747 210 4 888639272 +437 602 3 880140822 +586 780 4 884067151 +44 22 4 878347942 +861 286 4 881274504 +498 430 4 881958174 +747 238 3 888638957 +886 403 4 876031765 +796 54 4 893194685 +790 665 3 885158495 +807 402 5 892705096 +827 294 4 882807611 +833 506 2 875132079 +339 53 4 891034254 +593 111 5 875659576 +880 1258 3 880175368 +740 340 4 879523187 +640 580 5 874778096 +234 371 3 892335850 +880 238 4 880174652 +828 582 3 891037813 +453 452 2 888206630 +327 396 3 887819538 +733 458 2 879535129 +745 50 2 880122928 +835 15 5 891032930 +804 98 5 879441503 +796 226 3 893048410 +849 676 5 879695896 +871 300 4 888192971 +889 615 3 880180707 +833 1143 4 887158946 +686 542 1 879546443 +774 183 4 888557198 +250 259 1 883262792 +593 762 4 875659849 +576 124 4 886985002 +697 244 5 882622481 +827 288 3 882204460 +770 250 5 875971902 +883 1462 5 891695570 +449 515 5 879958685 +291 95 4 875086921 +766 197 3 891309011 +551 385 5 892783791 +719 284 2 888449573 +437 476 4 880142177 +903 693 5 891466376 +109 22 4 880572950 +346 660 2 874948979 +468 647 5 875293386 +497 944 3 879362798 +774 187 3 888556483 +405 663 2 885547221 +899 423 4 884121214 +889 575 3 880182850 +59 81 4 888205336 +806 408 5 882385237 +921 484 3 884673633 +790 196 3 885156500 +451 948 3 879012890 +880 208 5 880174652 +137 79 5 881433689 +122 519 4 879270129 +673 321 3 888787355 +481 202 4 885829240 +807 206 2 892684932 +823 1046 3 878439467 +790 72 2 885157661 +279 131 1 886020902 +870 168 4 875680472 +872 268 1 888478864 +485 889 5 891040560 +806 76 3 882389054 +863 906 4 889289570 +887 172 5 881379718 +758 53 4 882053613 +764 50 3 876242649 +303 77 4 879483978 +21 127 5 874951188 +908 527 3 879722754 +592 971 4 882955978 +429 192 3 882385612 +901 1389 5 877127052 +851 1280 4 890343493 +517 740 4 892660728 +606 323 4 877642209 +854 522 2 882814189 +567 79 2 882427023 +275 230 3 876198296 +770 117 5 875971989 +560 498 4 879975718 +868 218 3 877104913 +903 47 5 891033522 +927 405 5 879181451 +935 405 4 884472704 +662 100 5 880571006 +898 347 3 888294485 +790 1165 2 884462890 +406 176 5 879445474 +859 476 5 885775727 +627 1044 2 879530899 +517 294 1 892607194 +513 210 5 885063273 +406 569 3 879792974 +749 38 3 878850724 +257 285 5 882049950 +788 561 3 880870626 +716 284 3 879794116 +532 531 5 893119491 +932 863 4 891249063 +868 496 2 877107597 +175 869 3 877107500 +119 315 5 886175571 +913 418 3 881368742 +194 318 5 879521328 +667 182 5 891034767 +708 993 4 877325349 +933 176 3 874854315 +694 499 4 875728345 +887 1239 3 881381679 +13 590 2 882397068 +524 386 4 884637032 +903 443 5 891033755 +561 748 2 888557502 +396 118 4 884646314 +133 355 2 890588928 +903 196 4 891033781 +868 367 2 877106505 +867 204 4 880078958 +495 1133 3 888636487 +862 520 4 879304484 +907 284 5 881030348 +862 10 5 879303249 +870 288 4 875050370 +682 1039 4 888517510 +660 72 3 891201436 +499 328 5 882996296 +268 185 3 875309801 +795 546 3 880559275 +682 729 3 888518035 +747 136 5 888639481 +870 1021 2 881001249 +916 764 3 880843798 +708 299 1 892718964 +833 861 3 875224309 +863 908 1 889289240 +474 185 5 887923923 +586 17 5 884060807 +714 258 4 892777903 +851 48 4 875731489 +797 309 3 879438992 +344 290 2 884899837 +321 221 5 879438793 +124 1 3 890287733 +694 474 4 875727226 +885 685 3 885715671 +213 212 4 878955474 +514 134 3 875463665 +640 1258 3 886474866 +916 171 4 880844332 +870 135 3 875680045 +73 285 4 888792900 +880 845 3 880167200 +351 898 5 883356784 +537 702 3 886031375 +668 347 4 890349005 +883 202 4 891694312 +790 2 3 885156988 +749 214 3 878849177 +796 236 4 893048149 +828 1462 3 891037948 +922 176 3 891450401 +330 479 5 876546105 +578 346 3 887229335 +839 264 3 875751559 +798 415 3 875639260 +796 1046 3 893194607 +868 162 3 877109505 +181 245 2 878961369 +887 932 2 881379009 +244 744 3 880606923 +870 182 5 883876178 +792 363 3 877910478 +756 8 4 874827755 +903 180 5 891033585 +105 751 2 889214381 +851 56 5 875731489 +178 531 4 882826242 +905 237 3 884983951 +484 742 3 881449737 +586 1046 3 884064912 +867 12 5 880078656 +92 69 5 875653198 +885 584 3 885716328 +889 69 3 880179785 +619 391 3 885954215 +1 231 1 876893031 +589 334 1 883352631 +184 1086 4 889907711 +437 196 4 880140627 +629 1038 3 880116240 +907 260 2 885860511 +901 864 5 877289441 +880 1139 4 880242577 +807 542 5 893081951 +786 173 4 882843069 +682 174 4 888523581 +916 428 4 880844350 +719 127 3 879358453 +618 56 4 891307175 +880 1446 4 880174705 +509 328 1 883590800 +603 228 3 891955922 +942 183 3 891283184 +533 713 2 879192582 +312 602 4 891699263 +393 77 3 889729440 +870 479 5 875050801 +463 129 2 877385287 +889 847 4 880176926 +887 202 5 881379346 +813 271 4 883752455 +900 405 3 877833364 +724 751 2 883757397 +200 22 4 884128372 +758 652 5 881975853 +807 136 5 892529185 +655 176 2 887429999 +878 179 4 880866626 +712 393 3 874730320 +347 748 2 881652142 +871 210 5 888193275 +890 520 4 882403643 +923 168 5 880388872 +873 269 2 891392092 +741 79 4 891455610 +899 144 3 884121173 +922 155 2 891448473 +872 892 3 888479052 +707 15 4 880059876 +329 294 2 891655383 +648 405 4 882211924 +649 678 3 891440562 +144 294 4 888103573 +407 1041 3 876345492 +417 771 3 879649368 +878 168 4 880866626 +894 883 3 880415885 +414 895 4 884999170 +513 739 5 885063056 +372 844 4 876869481 +833 172 2 875224482 +533 480 4 879190670 +485 302 5 891040423 +536 500 4 882360946 +325 1118 3 891479665 +916 265 4 880844813 +647 300 4 876534131 +682 241 4 888522541 +881 226 3 876538400 +790 159 3 885156934 +67 273 4 875379288 +868 216 2 877109234 +619 406 2 885953931 +622 450 1 882592850 +889 554 4 880181976 +912 246 2 875967072 +717 312 5 884642133 +542 87 3 886532676 +892 482 5 886608136 +474 55 4 887926271 +727 609 3 883711923 +714 1152 2 892777651 +762 709 3 878719594 +409 206 4 881109264 +899 431 1 884122645 +528 526 4 886101505 +894 1258 3 879896949 +898 243 1 888294707 +343 663 5 876405045 +833 430 4 875133840 +210 114 4 887736175 +796 479 4 892761427 +883 1227 3 891693200 +796 63 3 893218764 +833 182 5 875039254 +749 423 4 878847645 +870 841 2 878737915 +802 217 3 875985767 +759 245 3 881476616 +622 153 4 882592314 +868 237 1 877108989 +472 91 5 892791063 +840 182 4 891204798 +778 117 3 890727011 +883 386 3 891694372 +867 286 5 880077721 +486 889 4 879873973 +760 776 5 875667247 +422 563 3 879744219 +834 333 5 890860566 +363 232 2 891495272 +835 488 5 891034117 +543 1416 2 876718718 +851 1376 2 875730895 +328 578 2 885048895 +115 218 3 881171623 +666 650 5 880139409 +710 479 5 882064120 +592 683 1 882607745 +921 924 3 879379736 +347 4 4 881654452 +301 90 3 882078360 +87 134 4 879877740 +907 1326 4 880159512 +917 591 3 882911185 +49 289 4 888065744 +790 959 3 885156686 +453 237 4 877552657 +757 559 4 888467400 +454 588 3 881960083 +846 176 4 883947694 +276 89 5 874792366 +655 122 2 887523605 +569 455 3 879794265 +673 310 5 888786997 +870 425 4 889717575 +767 22 4 891462614 +801 752 4 890332853 +747 792 5 888639102 +323 1073 4 878739857 +724 338 3 883758119 +453 1037 1 888206630 +714 100 1 892775786 +682 672 2 888522894 +795 201 4 880569984 +232 268 4 885939544 +10 700 4 877892277 +216 134 4 880233651 +804 1065 3 879441727 +655 823 2 888685759 +738 50 5 892844112 +914 1406 4 887123886 +862 650 4 879304941 +798 210 4 875743410 +788 241 5 880869075 +663 895 4 889491811 +867 132 3 880078629 +399 328 4 882340311 +575 357 5 878148388 +479 471 4 879460028 +852 235 4 891036765 +474 28 4 887924619 +896 53 1 887235026 +533 684 4 879191594 +862 186 3 879305143 +858 333 4 880933013 +682 159 3 888521005 +896 760 2 887235788 +815 258 4 884320310 +98 659 5 880498861 +916 55 3 880844369 +405 640 1 885549589 +841 306 4 889066824 +892 121 4 886609829 +915 345 4 891030145 +655 775 2 887523815 +851 912 4 891961214 +934 212 4 891194802 +409 603 5 881107351 +927 422 4 879199110 +715 1217 2 875963998 +881 480 4 876537679 +788 627 4 880870654 +400 343 4 885676552 +919 432 4 875373824 +717 546 3 884642932 +880 283 3 880167008 +894 126 3 880416381 +938 406 3 891357060 +455 924 3 879110154 +805 346 4 883766007 +286 629 5 877531661 +465 151 3 883530818 +880 38 3 880168411 +592 427 5 882955735 +524 433 5 884636444 +712 1036 5 874956981 +796 134 3 892663009 +91 527 4 891439057 +664 482 5 878090180 +503 172 5 880383588 +593 845 3 875671033 +805 678 4 879971214 +474 678 2 887915020 +234 662 3 892079585 +458 137 5 886394730 +684 585 2 878762273 +829 190 4 881698876 +548 472 2 891415967 +883 185 5 891695692 +848 435 3 887042427 +844 864 3 877381873 +116 326 2 876453376 +297 34 3 875410124 +413 283 5 879969484 +930 153 2 879535685 +259 173 4 874724843 +404 286 1 883790181 +174 582 4 886439537 +379 265 4 883156656 +514 265 4 886190600 +766 616 3 891309589 +897 510 3 879990531 +774 69 4 888556544 +638 455 3 876695059 +864 399 4 888893088 +907 144 5 880159937 +887 225 4 881379094 +864 96 5 888887830 +487 70 3 883530929 +919 323 4 875288362 +902 302 3 879463109 +847 369 1 878939451 +677 129 5 889399199 +726 255 2 889832297 +468 248 4 875280352 +640 96 5 874778240 +655 825 2 887429669 +667 315 4 891034426 +608 79 5 880405863 +405 668 1 885548275 +405 1535 1 885549635 +416 269 4 876696643 +719 185 4 877310932 +831 284 3 891355004 +556 427 5 882136440 +643 215 3 891447037 +900 602 1 877834025 +268 435 4 875309859 +484 684 5 891195390 +446 289 3 879786984 +851 754 2 891961831 +536 86 3 882360573 +846 139 2 883949508 +367 565 2 876690048 +624 302 4 885215462 +782 538 4 891498214 +816 342 4 891711519 +585 557 4 891285820 +846 391 3 883950605 +615 215 4 879448632 +616 245 3 891224767 +758 129 4 881975962 +646 294 2 888528870 +890 589 5 882403221 +297 479 5 875240015 +912 443 4 875966027 +922 427 5 891449123 +332 552 3 888360488 +796 23 2 892690382 +411 89 3 891035761 +109 476 3 880571831 +551 155 4 892784259 +880 148 2 880167030 +756 143 5 874831383 +109 831 2 880572296 +187 1065 4 879465717 +892 192 5 886608473 +567 423 2 882426869 +866 269 3 891221165 +783 286 3 884326274 +389 161 2 880088269 +899 546 2 884120317 +637 591 3 882904233 +883 634 3 891692874 +405 733 1 885546248 +92 926 3 875640542 +930 126 5 879535392 +753 750 2 891401167 +823 161 3 878438535 +663 98 5 889493540 +463 246 4 877387935 +707 1204 3 886286283 +896 317 4 887159069 +626 302 4 878771242 +727 222 3 883709350 +393 893 3 889554457 +521 147 4 884476837 +872 117 4 888479171 +450 286 4 882215617 +405 27 1 885546487 +435 930 3 884134019 +401 125 3 891033651 +48 650 3 879434819 +437 100 4 880140051 +880 655 4 880174623 +405 1266 1 885549634 +933 135 4 874854444 +448 1022 5 891888244 +840 616 5 891209364 +716 237 5 879793844 +892 417 3 886610588 +340 211 3 884991431 +458 199 4 886396140 +782 879 3 891498267 +641 336 3 879369943 +436 693 5 887769515 +846 436 4 883950286 +692 1132 4 876953954 +860 1047 2 885991563 +119 196 5 886177162 +758 475 5 881977205 +717 313 5 884642133 +880 70 4 880174677 +823 294 3 878439981 +849 197 5 879695782 +761 117 5 876190314 +391 652 4 877399588 +474 427 5 887923924 +864 800 1 888891154 +23 603 4 874785448 +896 425 2 887159110 +715 273 5 875961998 +650 271 3 891369143 +840 118 3 891204056 +896 371 2 887159723 +916 202 3 880845028 +405 725 1 885547691 +916 1208 2 880845249 +535 1063 4 879618613 +882 1 5 879864558 +806 288 3 882384554 +659 489 4 891045747 +593 8 3 875673098 +776 241 1 892313489 +779 1 4 875501555 +590 284 2 879439345 +1 204 5 875072688 +655 1445 3 887427538 +592 423 5 882955918 +178 881 2 886678484 +601 82 1 876351298 +785 748 3 879438705 +911 193 4 892839056 +896 426 2 887160722 +566 22 3 881649358 +436 469 3 887769128 +655 318 4 887473702 +877 553 4 882678137 +897 436 4 879991037 +466 4 3 890285034 +870 378 3 879902226 +892 68 4 886611162 +99 98 5 885679596 +640 81 5 874777735 +923 455 4 880387946 +334 130 4 891545318 +5 233 4 875729064 +629 425 3 880117163 +312 189 5 891698516 +865 501 1 880235060 +854 762 2 882812905 +534 685 3 877807653 +864 197 4 888888282 +724 1591 1 883757468 +880 825 4 880167288 +407 568 2 876338730 +921 304 2 879379428 +395 748 3 883762577 +694 435 4 875728639 +667 694 4 891034730 +363 153 3 891495169 +839 117 5 875752169 +412 431 4 879717549 +707 13 4 880059957 +843 616 3 879449256 +276 269 4 885871420 +487 22 5 883445495 +881 58 3 876538796 +637 235 1 882904233 +564 281 3 888730658 +70 739 2 884150753 +917 246 4 882910971 +849 421 5 879695588 +894 754 4 880993317 +244 65 4 880605766 +684 381 2 878762033 +889 484 4 880178313 +610 607 5 888703157 +271 216 5 885848672 +860 302 4 876074139 +90 276 4 891384476 +329 657 3 891656391 +747 95 3 888639318 +927 72 5 879193848 +921 328 5 879379338 +675 244 3 889489775 +883 24 4 891692657 +840 14 5 891203250 +828 86 3 891037047 +896 554 2 887161199 +913 742 3 881036957 +796 28 3 892662523 +620 742 5 889987792 +476 201 4 883364324 +892 222 4 886608094 +597 742 4 875341603 +788 984 3 880867855 +666 516 5 880139348 +707 1021 3 886287079 +715 268 4 875961674 +92 147 2 875640542 +788 151 1 880869908 +825 740 2 880756320 +311 81 3 884365451 +880 781 3 880174961 +616 307 2 891224448 +818 303 5 891870222 +864 755 4 888892128 +829 310 3 890956632 +617 446 2 883789590 +263 378 5 891299630 +896 154 3 887159212 +682 128 4 888522575 +802 219 5 875985767 +405 1545 2 885546201 +722 310 4 891279945 +866 900 4 891221165 +326 648 5 879875644 +886 201 3 876031695 +903 129 3 891031144 +605 135 5 879424369 +577 823 3 880471304 +538 182 4 877107408 +897 88 4 879991283 +883 257 5 891914605 +474 143 4 887926573 +389 482 5 880086777 +380 234 2 885478447 +862 59 5 879305204 +639 694 5 891239492 +321 133 5 879440612 +615 1065 4 879448567 +234 984 2 891033966 +838 204 4 887066040 +854 606 4 882813691 +125 1037 2 892839143 +429 42 5 882385593 +327 466 3 887820171 +843 158 2 879449336 +621 418 3 874965298 +630 820 4 885667391 +934 237 4 891189879 +943 68 4 888639500 +642 369 2 885606090 +267 210 4 878972434 +460 288 2 882910678 +773 675 5 888540279 +500 174 2 883873505 +330 64 5 876546409 +913 613 5 881725796 +764 151 4 876242912 +863 876 2 889289457 +671 511 3 884035406 +382 151 4 875946830 +727 384 2 883712804 +788 176 5 880868743 +178 295 3 882824055 +935 815 4 884472576 +747 466 3 888640136 +345 393 3 884993485 +345 678 2 884901497 +843 690 5 879442947 +843 144 3 879444711 +911 186 5 892839929 +541 812 3 883874872 +940 746 3 885921669 +871 662 3 888193541 +863 259 1 889289240 +933 710 2 874938309 +403 760 1 879790343 +465 868 2 883532119 +755 323 4 882570077 +883 316 5 891692168 +774 180 5 888556634 +538 208 3 877107085 +39 288 5 891400704 +927 623 3 879199110 +606 230 2 880926084 +716 468 3 879796596 +868 640 5 877103371 +916 417 2 880845949 +21 264 3 874950972 +940 316 4 889480582 +796 204 5 892662441 +880 780 3 880175157 +535 180 4 879618655 +548 750 4 891042353 +864 660 4 888889510 +882 841 1 879863909 +689 117 4 876676293 +758 737 3 881978864 +468 286 4 875279126 +374 1194 4 880396292 +653 199 4 880150239 +943 1028 2 875502096 +472 22 5 892790953 +452 515 4 875261747 +716 1113 4 879797443 +222 431 4 881059461 +892 401 3 886609264 +724 242 1 883758268 +802 184 4 875986155 +891 107 5 883490041 +815 1299 3 878697015 +610 516 3 888703710 +279 388 3 875659844 +92 631 4 875658112 +846 955 3 883948720 +293 176 4 888906536 +790 1215 1 884462737 +854 173 4 882813537 +624 298 4 879792378 +938 471 3 891356413 +417 823 2 879646860 +939 127 5 880260745 +887 755 5 881381425 +837 328 4 875721604 +925 773 1 884717862 +678 117 4 879544989 +700 48 4 884494215 +880 1215 1 880167599 +846 61 3 883947911 +815 227 2 878695147 +205 294 3 888284402 +201 217 3 884112627 +320 470 5 884751263 +903 582 3 891033564 +823 79 4 878439038 +653 63 2 880153077 +900 31 2 877833995 +707 197 4 886287130 +863 331 4 889289278 +593 283 4 875659665 +870 1230 2 879901998 +807 298 4 893083851 +796 339 2 892874859 +236 595 3 890117267 +881 8 4 876537457 +843 440 1 879443544 +13 362 4 890704999 +919 237 4 875288805 +885 523 3 885713357 +919 715 5 875921442 +497 774 4 879362407 +716 435 4 879795071 +747 604 5 888638913 +883 732 3 891694340 +293 237 3 888904696 +875 603 4 876465111 +885 225 3 885716242 +848 661 3 887040302 +694 427 4 875727226 +694 482 5 875728435 +762 332 1 878718996 +742 294 3 881005590 +654 596 3 887863802 +867 203 4 880078484 +889 686 3 880180612 +417 151 5 879646463 +734 465 4 891022734 +659 506 3 891385379 +815 9 4 878691739 +725 881 5 876106729 +417 537 4 880949849 +867 31 5 880078656 +327 121 2 887822530 +663 328 4 889491861 +387 367 3 886482883 +650 357 4 891372286 +831 237 4 891355004 +295 232 3 879518900 +847 125 3 878774969 +110 1228 3 886988689 +707 863 4 886286662 +715 480 5 875963387 +342 182 5 875319173 +591 1120 4 891039637 +256 989 5 882150192 +504 504 4 887909890 +631 288 3 888464916 +782 536 2 891500150 +611 272 5 891636098 +860 508 4 885991076 +796 318 4 892661988 +760 300 1 875665867 +627 576 3 879531504 +749 174 5 878847209 +657 117 4 884240629 +13 798 2 882397974 +896 237 5 887158714 +812 873 4 877625537 +922 1110 4 891450768 +921 66 5 884673700 +556 302 4 882135437 +916 76 3 880845049 +694 205 5 875726968 +216 47 4 880244870 +886 48 4 876031526 +821 111 4 874793049 +606 255 5 887061723 +788 649 3 880869649 +868 1285 2 877109926 +900 744 2 877833195 +776 1219 3 891628837 +391 696 4 877400117 +758 131 3 881975243 +868 451 2 877112063 +660 358 2 891197796 +588 66 3 890023646 +897 1051 3 879993772 +886 268 5 876031109 +431 332 3 877844377 +445 56 5 891200869 +738 258 4 875348442 +830 554 5 891561999 +877 88 4 882677967 +804 597 3 879444011 +907 1040 5 880159496 +389 430 5 880087003 +642 419 4 885603537 +757 827 3 888466758 +752 348 4 891208213 +833 1428 3 875123494 +927 257 5 879177353 +679 527 4 884486985 +606 8 2 880923579 +881 216 4 876538922 +634 294 4 876170101 +363 116 4 891495595 +152 319 2 890322385 +892 612 5 886609551 +705 755 5 883427691 +721 729 3 877141222 +347 147 4 881652710 +716 498 5 879795122 +707 106 3 886288189 +892 739 4 886609469 +551 264 3 892775970 +450 724 5 882395537 +885 69 4 885714201 +933 157 4 874854932 +697 287 4 882622170 +717 815 3 884642817 +752 909 3 891208036 +530 220 5 886628953 +870 640 3 886883147 +901 82 5 877131624 +828 207 4 891036492 +427 331 4 879700850 +870 684 3 879714246 +352 174 5 884289760 +807 1078 4 892979639 +540 405 3 882157612 +178 133 4 885784518 +533 227 4 879191563 +453 272 5 887941892 +847 1167 5 878939645 +616 362 3 891224517 +883 318 4 891717936 +802 769 5 875985976 +619 161 4 885954133 +84 408 5 883450553 +542 1 4 886532534 +881 188 4 876538665 +685 872 2 879447443 +406 631 5 882461650 +174 934 4 886434421 +840 473 5 891203408 +181 120 1 878963204 +881 414 5 876537752 +593 685 3 875660081 +308 525 5 887738847 +776 667 2 892920480 +843 179 4 879446774 +484 233 5 891195444 +452 516 3 888324014 +925 327 3 884717790 +492 153 4 879969454 +194 790 1 879535549 +916 709 3 880844123 +851 984 3 874809850 +898 334 3 888294739 +269 710 1 891449843 +843 175 4 879446911 +227 287 4 879035704 +279 451 1 888465592 +679 109 3 884488283 +795 12 4 881260621 +943 76 4 888639523 +653 755 2 880153077 +851 231 4 875807019 +500 289 4 883864818 +874 346 3 888632147 +709 231 3 879848646 +934 156 3 891190813 +846 665 4 883950434 +159 254 3 884026738 +913 518 4 881725761 +916 790 2 880845790 +846 699 3 883947960 +887 655 1 881379609 +314 8 4 877888059 +807 503 3 892530004 +896 139 2 887161033 +611 305 4 891636192 +916 433 3 880844958 +114 135 4 881260611 +655 1112 2 887475641 +846 474 5 883947960 +276 200 5 874792663 +76 806 4 882606471 +342 137 2 874984455 +747 320 5 888732899 +761 457 1 876189950 +144 527 5 888105665 +342 246 4 874984480 +936 827 2 886833191 +486 325 2 879874296 +600 578 2 888451839 +694 495 4 875727018 +536 28 5 882359678 +616 937 4 891224919 +867 483 5 880078372 +471 172 4 889827822 +907 869 5 880160123 +536 197 3 882359567 +774 385 1 888557329 +934 501 4 891196464 +942 1204 4 891283209 +798 254 5 875637836 +748 209 4 879454728 +928 1025 5 880936022 +802 98 4 875985601 +569 277 2 879794385 +911 482 4 892838864 +543 153 3 874863035 +758 502 4 881978864 +615 269 4 879447500 +63 257 3 875747342 +726 409 3 890087998 +592 249 4 882608795 +537 633 3 886031342 +716 735 5 879795644 +936 405 2 886833053 +457 660 5 882396449 +294 334 4 877818861 +798 1032 3 875639212 +918 707 5 891987446 +680 50 5 876816310 +890 447 3 882404541 +379 403 4 880525598 +881 1089 1 876537011 +896 204 4 887157947 +608 690 4 880402527 +733 1011 4 879535644 +698 127 4 886366101 +210 651 4 887736140 +178 232 5 882827162 +897 443 5 879991666 +908 525 4 879722300 +758 1135 2 881980034 +916 181 4 880843401 +572 286 4 879449179 +486 1016 2 879874970 +260 307 3 890618295 +796 514 3 892676231 +790 70 3 885157776 +881 1028 3 876537056 +699 985 3 879147814 +450 457 2 882466909 +758 11 3 881975289 +622 229 2 882592850 +930 107 3 879535207 +761 1152 2 876190623 +804 742 4 879442732 +655 674 3 887523427 +269 371 5 891450880 +903 523 5 891033606 +479 335 3 879459752 +648 684 4 884882702 +650 323 3 891369285 +551 82 5 892783525 +698 613 5 886366770 +385 251 2 879440098 +892 422 1 886610996 +567 199 4 882425820 +924 562 3 886759657 +896 591 3 887160702 +688 877 5 884153751 +73 129 4 888625907 +930 871 3 879535138 +892 274 4 886610451 +916 72 3 880845808 +763 60 5 878914968 +833 134 5 875038987 +776 95 4 892210688 +919 25 4 875289113 +670 519 5 877974604 +913 184 3 880826706 +378 932 2 880056930 +711 218 4 879994852 +658 24 3 875145493 +436 144 5 887769444 +916 96 3 880844813 +864 715 4 888891238 +943 122 1 875502576 +741 226 2 891455711 +492 651 3 879969814 +930 300 4 879535392 +871 352 3 888192971 +246 111 3 884921861 +765 847 4 880346466 +454 302 4 881958326 +852 1 4 891036457 +327 24 2 887745934 +186 331 3 889817888 +840 202 5 891204322 +918 1137 5 891986999 +909 261 5 891919599 +605 1 4 879365748 +869 276 4 884491082 +399 1 4 882340657 +844 432 5 877388183 +707 1061 3 880060118 +932 1021 4 891249146 +650 579 3 891370182 +363 180 3 891494754 +932 516 5 891249877 +766 191 4 891310067 +28 196 4 881956081 +655 607 4 887523427 +123 134 4 879872275 +82 118 3 878768510 +892 768 4 886609977 +184 837 3 889908630 +99 294 4 885678453 +826 271 4 885690022 +374 818 3 880394301 +834 751 3 890860298 +442 69 3 883390935 +583 483 5 879384338 +757 323 3 888443483 +894 879 4 879896141 +632 73 3 879459649 +833 1210 1 879818799 +865 1047 1 880144265 +458 79 5 886396192 +1 3 4 878542960 +303 284 4 879467465 +854 514 4 882813537 +246 164 3 884921613 +880 41 1 880175239 +829 129 4 881712252 +936 273 3 886832453 +106 9 4 883876572 +880 174 4 880167670 +864 732 4 888888067 +878 514 4 880870854 +707 718 5 880059876 +454 95 2 888266433 +592 877 2 882607647 +625 95 3 891953755 +932 141 4 891250363 +896 203 5 887158713 +804 573 3 879445232 +695 264 1 888806222 +890 265 2 882405059 +659 502 4 891385438 +655 30 5 888474646 +465 845 4 883530743 +878 529 5 880870854 +87 152 4 879876564 +466 909 5 890284231 +632 54 3 879459304 +930 45 4 879535492 +937 258 4 876762200 +796 769 4 893218622 +896 23 2 887159145 +429 685 3 882387434 +782 888 3 891498919 +932 659 5 891250770 +905 273 3 884984148 +347 186 5 881653912 +396 271 4 884645790 +805 636 4 881694978 +885 417 3 885716369 +533 111 4 879192474 +782 1388 3 891500028 +269 806 3 891448019 +381 1060 5 892697677 +747 286 4 888638335 +308 824 3 887742013 +788 186 3 880868559 +307 109 5 879283787 +496 416 1 876067754 +585 275 4 891283124 +848 170 5 887039271 +833 192 5 875038529 +904 781 4 879735678 +663 521 3 889493467 +595 979 3 886921847 +429 173 4 882384494 +328 237 4 885047373 +883 289 5 891692168 +655 295 3 887425530 +771 286 2 880659235 +889 13 4 880177179 +930 175 2 879535713 +721 301 4 877136358 +919 832 3 875289726 +907 1221 5 880160080 +892 81 3 886608473 +5 200 2 875720717 +728 243 2 879442892 +473 475 5 878157299 +110 651 4 886988018 +896 582 2 887160040 +877 164 5 882678547 +655 113 3 891585477 +766 972 3 891310907 +867 1039 5 880078677 +554 728 3 876369995 +878 318 5 880866013 +294 1 5 877819634 +653 471 2 884405560 +934 172 5 891191206 +650 73 3 891387542 +553 1194 5 879948995 +685 333 1 879451147 +760 237 3 875666179 +804 520 4 879445904 +891 742 4 891639497 +881 187 4 876539091 +776 670 3 892920351 +734 724 3 891022684 +159 1152 4 880557464 +697 1025 2 882621523 +862 496 5 879304902 +721 64 4 877139301 +922 747 3 891448247 +886 234 3 876031932 +827 316 3 892157262 +815 1157 2 884267828 +458 338 3 889323660 +915 315 4 891029965 +90 60 4 891385039 +618 487 4 891309886 +94 338 4 891725030 +922 294 4 891447296 +826 265 5 885690526 +43 580 3 883956417 +697 126 5 882622581 +730 535 2 880310506 +59 946 1 888206445 +642 245 4 891317923 +469 607 5 879524117 +921 380 4 879381051 +371 66 4 877487213 +657 744 4 884239566 +664 228 4 876526462 +943 485 5 888639523 +601 260 4 876346633 +540 1011 4 882157509 +936 117 4 886832713 +727 135 2 883711069 +805 998 4 881705327 +535 693 3 879619107 +620 596 2 889987954 +747 498 5 888639318 +478 708 3 889397239 +896 1231 1 887160880 +646 1176 4 888528955 +363 256 3 891499542 +932 188 3 891250142 +896 85 3 887160427 +211 117 4 879461498 +932 196 4 891251038 +889 562 3 880181911 +593 49 3 875671891 +328 327 3 885044566 +937 408 5 876769323 +91 474 3 891438947 +843 561 4 879443482 +889 87 4 880178367 +746 597 4 885075304 +83 151 3 880306745 +758 746 4 881976746 +922 22 5 891450586 +645 955 4 892054989 +919 222 3 875288983 +350 603 5 882345975 +943 756 2 875502146 +916 636 3 880845391 +537 950 3 886030347 +875 56 5 876466687 +901 91 1 877131817 +591 66 2 891031526 +835 234 5 891033857 +861 740 4 881274760 +820 333 5 887954878 +789 591 3 880332259 +49 789 4 888068033 +670 222 4 877974857 +704 98 5 891397305 +663 300 4 889491655 +886 127 4 876032472 +693 186 2 875484882 +303 631 4 879483617 +517 748 4 892660728 +764 25 2 876243015 +907 689 4 885860672 +940 168 3 885921597 +913 69 2 880757553 +167 86 4 892738212 +773 730 3 888538852 +881 412 1 876536523 +888 274 4 879365497 +454 327 3 881958428 +887 9 2 881378118 +928 266 5 880936022 +625 654 3 891262837 +747 479 5 888732719 +823 89 5 878438780 +393 1409 4 889729536 +763 135 5 878918332 +167 137 5 892738081 +843 172 3 879444711 +595 871 2 886921945 +862 174 5 879304721 +586 53 5 884061084 +41 969 4 890687438 +798 174 4 875743140 +347 546 4 881653059 +315 673 4 879821267 +860 516 3 885991040 +13 837 4 882139717 +711 403 4 879994513 +693 632 5 875482626 +927 417 4 879184710 +894 1023 3 879896898 +931 252 3 891037070 +707 57 4 886287310 +506 1063 5 888848303 +667 487 5 891035084 +887 125 5 881377933 +894 295 3 879896704 +389 274 4 880088421 +751 332 3 887134842 +314 144 3 877889275 +405 372 1 885547313 +716 650 3 879796278 +553 50 4 879948732 +837 284 1 875722104 +773 93 3 888539366 +864 118 4 888888994 +268 456 2 875743012 +617 611 4 883789386 +795 716 3 880569984 +936 1241 4 886832808 +301 226 5 882077222 +913 268 2 880753802 +899 111 4 884120105 +809 1025 1 891037205 +446 338 2 879786943 +535 197 5 879618288 +632 228 3 879457157 +654 83 5 887864680 +49 99 4 888067031 +442 1074 3 883389053 +741 367 2 891457280 +457 294 2 882393514 +608 59 5 880403856 +867 51 3 880079142 +839 100 3 875751991 +650 206 4 891371186 +880 1181 3 880242781 +522 168 5 876960956 +41 173 4 890687549 +878 88 4 880869418 +92 212 4 875656086 +870 95 4 875050559 +493 974 3 884132914 +533 117 5 879192901 +805 4 2 881694798 +852 122 1 891037738 +881 140 2 876538098 +806 856 5 882387644 +178 69 5 882826437 +592 975 4 882608873 +918 25 4 891988123 +694 100 4 875727640 +924 701 4 885457922 +749 748 3 878846384 +264 234 4 886122261 +831 144 5 891354815 +899 663 4 884122719 +885 143 4 885716344 +521 127 4 885253352 +825 1254 1 880756678 +624 235 4 879793156 +92 260 1 890463551 +714 1014 3 892777694 +643 55 4 891448218 +773 7 2 888539992 +301 288 4 882074291 +179 271 1 892151565 +354 292 4 891180489 +851 92 5 875806791 +608 288 5 880402982 +548 291 5 891415677 +896 468 2 887158866 +782 877 3 891498213 +618 723 3 891309514 +747 582 5 888639362 +804 982 4 879444048 +633 97 3 877211083 +570 358 2 881262582 +941 257 4 875048952 +224 544 1 888103812 +293 1264 3 888905582 +916 697 4 880844937 +573 654 4 885844535 +745 14 3 880122863 +204 269 4 892388976 +642 1133 3 886569295 +805 452 3 881695445 +416 1152 4 876697105 +896 234 4 887157925 +758 181 4 880672747 +311 436 3 884366269 +931 909 5 891037521 +678 1129 1 879544915 +325 71 3 891478981 +498 251 3 881954219 +327 268 4 887737629 +44 318 5 878347340 +504 503 4 887837958 +601 365 3 876350812 +806 1010 3 882385806 +655 553 2 887431019 +416 278 3 876698280 +259 748 4 883371839 +852 827 2 891036866 +82 483 5 878769888 +790 546 1 884461590 +887 476 1 881379059 +752 333 3 891207791 +393 310 4 887742040 +826 39 4 885690600 +670 245 4 877974070 +904 288 4 879735109 +653 407 1 878867398 +937 286 4 876762200 +919 98 5 875373470 +234 165 5 892079040 +738 951 2 875351906 +224 402 5 888103872 +267 188 5 878971745 +896 746 3 887159658 +936 1190 3 886833707 +545 142 3 884135088 +450 259 3 887834953 +881 209 3 876537718 +807 142 3 892530752 +766 518 3 891309878 +864 174 5 888887354 +883 463 3 891693058 +518 240 1 876824079 +676 326 2 892685592 +868 843 1 877109748 +731 28 4 886182826 +807 102 4 892979501 +791 306 5 879447977 +267 135 5 878972463 +866 344 2 891221165 +866 347 4 891221165 +690 993 3 881178697 +868 426 4 877103935 +577 318 5 880472055 +770 294 3 875971655 +825 291 5 880756603 +158 514 3 880135093 +59 116 4 888203018 +831 479 4 891354726 +586 241 4 884061623 +65 66 3 879217972 +840 215 4 891209285 +807 1409 4 892978256 +749 326 4 878846365 +500 249 3 887720111 +689 237 3 876676293 +747 64 5 888639642 +864 655 4 888887128 +475 327 4 891451149 +679 100 3 884487089 +846 174 5 883947737 +863 344 4 889289456 +836 210 4 885754058 +829 1120 2 881707829 +521 210 3 884478119 +683 347 4 893286208 +780 498 5 891363756 +484 4 4 891195154 +921 196 5 884673724 +779 304 3 875501254 +934 135 4 891191659 +102 792 3 892992297 +846 234 5 883948495 +847 1400 5 878940830 +898 539 3 888294441 +695 328 3 888806056 +715 549 3 875964519 +919 245 2 875288253 +664 237 2 876525002 +823 101 3 878438807 +936 325 5 886831709 +840 204 4 891205245 +775 245 3 891032989 +715 31 4 875963692 +897 323 4 879988868 +200 934 2 884127370 +934 65 4 891192914 +502 328 4 883701980 +896 11 2 887158333 +707 185 3 886286032 +504 505 4 887837957 +653 69 4 878854284 +886 544 4 876031850 +880 200 4 880241355 +312 1050 5 891698832 +933 1228 1 874939247 +648 164 4 884883424 +790 4 3 885156773 +128 117 5 879967631 +670 195 4 877974787 +831 301 2 891354275 +716 228 4 879794870 +804 55 4 879442141 +940 286 3 884800898 +709 5 4 879848167 +932 30 4 891249196 +643 492 4 891448586 +648 386 4 884882192 +7 12 5 892135346 +916 118 2 880843838 +301 80 3 882078883 +547 294 1 891282757 +450 44 3 882376658 +21 330 4 874951040 +891 1040 3 883489783 +474 485 4 887926804 +735 331 3 876698022 +650 132 4 891372365 +453 202 4 877553999 +655 304 2 888475101 +940 294 4 884801316 +721 162 2 877147503 +395 21 3 883764534 +872 300 5 888478766 +449 106 3 879958936 +727 1049 1 883709711 +168 181 4 884287298 +181 1276 1 878962586 +109 1135 4 880582976 +836 690 3 885753435 +622 24 4 882590367 +923 264 3 880387199 +551 765 1 892785194 +863 1395 4 889289491 +483 68 1 878953693 +919 284 3 875289280 +633 871 3 875326698 +885 756 2 885713101 +374 1059 2 883627906 +881 193 5 876538131 +863 885 1 889289456 +291 943 4 874834735 +864 433 3 888887703 +334 882 3 891544135 +663 315 4 889491560 +719 215 4 879360781 +476 940 3 883365336 +593 1014 1 875659755 +181 107 1 878963343 +603 50 5 891955922 +680 137 4 876816310 +802 879 5 875984938 +682 895 4 888518380 +608 168 1 880403810 +600 566 3 888451908 +145 827 2 888398238 +901 378 5 877131654 +881 64 5 876537933 +940 69 2 885921265 +354 45 5 891218046 +885 625 3 885714858 +885 1061 2 885713138 +717 147 4 884642297 +412 169 4 879717038 +894 248 4 879896836 +588 67 1 890032343 +846 602 4 883949255 +407 162 4 876339101 +551 218 5 892783212 +823 206 4 878439089 +804 69 4 879444890 +702 289 2 885767604 +668 993 4 881591257 +749 393 5 878849903 +815 523 4 878693462 +677 288 5 885191166 +838 713 4 887064193 +326 493 5 879874825 +528 422 2 886813066 +931 286 5 891037521 +761 125 4 876190798 +521 125 3 884476020 +660 747 4 891200639 +91 333 5 891438106 +715 195 4 875963657 +537 200 3 886031473 +923 100 5 880387474 +639 280 3 891240868 +838 494 4 887066644 +889 257 4 880176845 +892 435 4 886609149 +346 566 5 874950766 +862 97 4 879305143 +798 265 5 875915777 +523 408 5 883700527 +796 988 3 893219180 +787 1671 1 888980193 +514 474 5 875462689 +387 731 1 886482969 +943 42 5 888639042 +504 973 4 887911444 +610 673 4 888704000 +21 321 3 874950972 +712 51 3 874957293 +601 475 4 876346890 +894 339 4 880415854 +504 735 5 887838510 +807 68 4 892705239 +406 671 5 879792863 +389 559 3 880088680 +847 98 4 878940067 +752 338 3 891208329 +297 751 4 885922463 +283 173 5 879298206 +770 936 5 875971902 +798 878 4 875295521 +905 873 3 884983396 +64 389 4 889739834 +526 127 4 885682426 +885 245 2 885712224 +829 458 3 891990881 +698 481 3 886367473 +927 738 3 879196762 +543 195 4 874863155 +504 200 4 887838450 +709 182 4 879846741 +922 99 4 891448580 +554 50 4 876550778 +880 282 2 880166966 +234 176 3 892079190 +870 1 5 889717102 +112 690 4 884992462 +724 269 4 883756996 +426 661 4 879444321 +893 759 3 874830137 +518 713 5 876823071 +109 1210 3 880582230 +537 689 1 886029239 +825 9 3 880755418 +795 746 3 881529904 +694 605 4 875727513 +202 96 4 879727059 +896 709 3 887158866 +292 472 3 881104760 +653 823 2 880153568 +919 895 4 885059623 +870 258 4 886883539 +659 191 5 891332293 +907 286 5 880158316 +749 71 4 878847576 +343 425 5 876406514 +868 946 1 877107189 +66 9 4 883601265 +840 1451 5 891205123 +881 208 3 876538098 +936 975 3 886832714 +848 443 5 887047921 +678 298 3 879544750 +213 195 5 878956156 +334 810 3 891549267 +320 56 5 884749227 +848 582 4 887046329 +802 669 1 875985840 +405 672 1 885548434 +695 748 1 888806270 +393 833 4 887744626 +518 237 4 876823804 +64 10 5 889739733 +870 178 4 875050559 +423 316 4 891394985 +870 474 4 875050559 +618 238 1 891308391 +615 435 5 879449089 +758 343 2 882055987 +76 293 4 879117673 +936 124 4 886832282 +870 50 3 875050865 +96 234 4 884403336 +398 79 4 875660535 +87 648 5 879876448 +790 1230 2 885158235 +62 509 4 879373568 +82 318 4 878769629 +916 762 3 880843579 +341 881 5 890757961 +556 133 5 882136396 +244 291 2 880604379 +710 210 4 882064283 +815 639 2 878696681 +18 15 4 880131054 +655 1176 4 888474934 +549 282 3 881672300 +919 740 3 875289113 +817 455 3 874815947 +788 572 3 880871891 +711 154 4 879992739 +639 193 3 891239177 +63 137 4 875747368 +891 274 5 883429853 +427 881 5 879701253 +913 317 4 881725876 +774 121 1 888558565 +405 35 2 885549095 +417 576 3 879649410 +303 7 4 879467514 +92 1194 4 875654432 +864 214 2 888890052 +868 61 5 877109435 +846 1439 2 883950463 +152 401 3 884018905 +881 9 3 876536198 +458 21 2 886395393 +486 292 4 879874388 +363 386 1 891498407 +11 399 3 891905279 +25 612 4 885852120 +445 249 2 891200447 +92 761 2 875907134 +907 294 4 880158502 +711 120 2 879992038 +467 1059 4 879532693 +128 507 4 879966685 +313 225 4 891030228 +311 739 4 884365823 +722 286 4 891280046 +384 258 4 891273683 +901 795 3 877131738 +867 652 5 880078745 +870 273 3 875051100 +415 684 3 879439610 +828 751 3 891034306 +899 258 5 884119973 +774 451 1 888556169 +537 960 3 886031540 +763 280 2 878915015 +524 514 5 884634938 +938 255 1 891356329 +478 178 4 889388562 +612 7 3 875324876 +592 286 5 882607356 +881 849 2 876539051 +883 648 4 891694249 +280 241 2 891700945 +905 294 3 884983556 +905 100 4 884983888 +450 722 5 882471524 +551 184 1 892777855 +932 613 4 891250363 +939 118 5 880261450 +727 43 3 883712123 +277 1 4 879544145 +592 269 4 882607286 +426 659 4 879442128 +863 329 2 889289157 +345 684 4 884992005 +902 246 1 879465073 +883 313 3 891692285 +566 135 5 881649389 +755 328 4 882569881 +939 298 5 880261184 +447 22 4 878856422 +715 761 3 875965009 +911 548 3 892841073 +250 276 4 878089436 +903 52 3 891466551 +254 163 2 886472023 +467 181 3 879532420 +497 33 4 879310730 +823 234 4 878438608 +326 196 4 879875822 +259 286 4 874724727 +894 236 4 880416177 +933 789 4 874853957 +174 87 5 886514089 +489 359 5 891362812 +756 95 3 874829258 +752 1265 3 891208126 +691 650 5 875543281 +942 315 4 891282355 +880 137 4 880166827 +897 470 4 879991493 +822 169 4 891037394 +627 237 4 879530346 +610 204 1 888703343 +637 285 3 882901356 +882 174 5 879864697 +892 90 2 886610078 +592 326 4 882607573 +275 188 2 880315243 +773 780 4 888539857 +815 83 4 878695311 +545 233 4 879899380 +897 699 4 879990973 +447 265 4 878856394 +851 823 3 875730532 +160 628 3 876767360 +870 1019 3 881001249 +916 318 4 880844175 +707 199 2 886285824 +276 237 5 874786756 +833 1019 5 875039039 +690 1 4 881179631 +822 751 3 891035141 +703 591 4 875243049 +848 88 4 887048260 +481 191 5 885828543 +624 1010 4 879793155 +342 428 5 875320334 +606 201 4 880927417 +598 286 5 886711452 +141 988 3 884584460 +551 153 3 892777310 +877 557 4 882677715 +380 199 3 885478845 +405 194 1 885547176 +864 609 3 888888861 +479 986 1 879460648 +653 1133 2 880153674 +881 1133 2 876539360 +311 511 4 884365202 +933 239 3 874938412 +924 196 4 886759657 +848 514 5 887043777 +923 685 4 880387396 +145 235 4 875270507 +625 855 4 891953479 +610 378 5 888703609 +550 1089 3 883425485 +572 301 4 879449243 +877 228 4 882678387 +618 468 3 891308665 +933 202 2 874854745 +937 304 4 876768813 +712 294 4 876251330 +904 1041 2 879735710 +896 160 3 887160247 +794 285 5 891035355 +930 174 3 879535513 +280 451 5 891701377 +881 864 3 876536198 +870 489 4 875050827 +562 357 1 879195125 +896 250 3 887235144 +94 71 4 891721642 +174 167 3 886514953 +684 408 5 875810796 +890 23 5 882403221 +899 717 1 884120967 +198 137 4 884205252 +936 258 3 886831374 +887 164 4 881380139 +655 574 2 887489222 +823 194 5 878439136 +870 1008 3 879377028 +389 553 2 880089015 +862 515 4 879302877 +587 916 3 892871610 +922 168 3 891450968 +383 286 5 891192186 +780 216 4 891363617 +891 100 5 891638433 +653 546 2 880153253 +861 26 3 881274936 +882 95 4 879877155 +453 144 4 877554443 +796 762 3 892676115 +943 318 3 888639093 +593 974 2 875660347 +336 949 4 877757952 +846 52 4 883949290 +724 302 3 883756996 +879 294 3 887760951 +881 185 5 876537418 +833 455 3 875297104 +883 1065 5 891717533 +417 134 4 879647196 +804 108 3 879443819 +827 748 4 882808465 +55 174 4 878176397 +860 865 4 885990862 +749 179 4 878848015 +896 1220 1 887161033 +756 251 4 875129238 +882 98 5 879865750 +639 283 4 891239913 +762 421 4 878719594 +615 475 4 879447919 +139 475 5 879538415 +660 159 1 891200817 +504 122 1 887832268 +829 408 4 891991300 +854 25 3 882813219 +846 657 5 883947590 +514 274 4 876067433 +566 56 4 881649828 +224 237 3 888082742 +836 42 3 885754266 +786 179 4 882843500 +751 497 4 889134393 +878 236 2 880865470 +524 663 2 884635358 +774 235 1 888558806 +776 109 4 892210576 +766 527 5 891309558 +450 47 3 882394180 +276 1199 4 888873674 +919 276 5 875288612 +543 324 3 890723992 +94 367 4 891723328 +764 864 4 876243232 +63 283 4 875747401 +896 651 4 887158958 +804 529 4 879441913 +643 603 5 891447459 +897 1028 4 879993621 +114 224 3 881259839 +821 284 3 874792521 +907 88 5 881030348 +683 245 2 893283728 +94 1219 4 891722306 +938 676 3 891356428 +301 820 3 882075082 +756 419 3 874830513 +500 170 5 883874446 +916 219 3 880845755 +116 1244 2 876453191 +938 127 5 891356446 +757 254 2 888445172 +758 292 4 880672402 +874 357 5 888633311 +666 974 4 880313929 +807 89 4 892528470 +94 233 3 891722934 +809 340 4 891036744 +932 650 5 891250498 +660 428 4 891200594 +883 211 5 891694249 +916 173 4 880844332 +625 479 4 891262983 +803 261 1 880054754 +848 431 5 887038528 +493 881 1 884130009 +864 188 3 888887172 +560 271 4 879975194 +670 474 3 877975070 +880 56 5 880167731 +828 896 4 891379760 +896 705 5 887158768 +37 472 2 880915711 +933 238 2 874853819 +722 130 4 891281679 +886 128 4 876031551 +756 30 4 874827283 +804 50 4 879440912 +312 169 5 891698893 +144 962 4 888105612 +76 919 3 875027945 +586 679 3 884062742 +625 200 3 892000686 +184 509 4 889908694 +843 181 3 879444670 +788 289 4 880867565 +682 76 3 888517049 +611 886 4 891636399 +561 701 3 885807930 +284 877 2 885329395 +894 300 4 879896466 +570 268 3 881262404 +608 611 3 880403537 +653 686 2 878854247 +756 501 3 874829296 +104 310 2 888442275 +399 54 4 882343126 +830 751 2 891464054 +232 744 3 880062645 +62 116 3 879372480 +851 302 5 888540054 +651 515 5 879348966 +456 150 4 881371453 +828 303 4 891033574 +936 269 4 886831415 +194 604 3 879546498 +632 69 4 879457371 +804 154 3 879441598 +848 462 5 887038634 +829 257 4 881699584 +868 506 4 877104879 +435 778 4 884131844 +932 494 4 891250060 +562 511 2 879195819 +543 462 4 874864182 +711 71 3 879994581 +561 739 2 885810271 +774 232 2 888556121 +312 836 5 891698921 +773 1529 5 888539120 +405 724 1 885546530 +933 87 4 874854723 +491 408 5 891185298 +896 54 2 887160606 +793 1014 3 875103810 +629 632 3 880117031 +790 241 5 885156825 +650 597 3 891381818 +798 736 5 875639010 +681 750 5 885409438 +442 313 3 883387916 +804 379 3 879445465 +504 214 4 887840764 +931 316 5 891037521 +608 294 3 880402450 +680 7 5 876816310 +303 290 4 879483941 +882 227 4 879879868 +916 1098 4 880844862 +560 302 5 879975087 +851 22 5 875731330 +880 423 5 880175690 +40 346 2 889041358 +48 302 4 879434954 +279 87 1 875306613 +881 1215 1 879052376 +262 655 4 879793938 +833 164 2 879818575 +803 300 3 880054629 +878 418 3 880870130 +592 1059 3 882608457 +813 307 4 883752265 +846 1206 3 883948989 +373 471 3 877100458 +936 248 4 886833006 +846 203 5 883948606 +468 955 4 875288504 +924 31 3 885458168 +450 616 4 882373597 +904 553 3 879735710 +745 923 3 880123720 +654 302 5 887862964 +913 9 5 881725816 +302 333 3 879436785 +429 121 3 882386145 +937 847 4 876769213 +723 89 3 880498996 +394 77 3 880888603 +790 269 3 892305174 +820 324 3 887955020 +500 423 3 883875388 +835 176 4 891035309 +682 158 2 888522260 +234 503 2 892333653 +292 789 4 881105701 +894 293 4 881625708 +668 302 5 881523612 +130 681 3 875801315 +601 100 4 876346757 +815 629 4 878695527 +798 63 5 875914939 +87 194 5 879876403 +474 630 3 887928793 +521 421 4 885254070 +927 1014 3 879176876 +563 321 5 880506197 +295 11 4 879517062 +749 498 4 878847926 +10 525 5 877892210 +462 181 4 886365443 +864 109 5 888888994 +916 480 4 880844201 +427 322 3 879701051 +721 631 5 877147260 +453 151 3 877552970 +890 127 5 882402949 +881 1177 1 876539418 +870 188 5 875050672 +764 595 4 876243703 +796 1163 3 892660364 +468 432 5 875287826 +64 172 4 889739091 +724 1432 1 883758208 +830 193 5 891898415 +916 528 3 880846339 +363 705 2 891495371 +926 258 4 888636202 +761 1012 1 876190417 +497 91 2 879309993 +916 631 4 880844654 +880 121 2 880167030 +782 751 2 891498323 +908 419 4 879722875 +927 395 3 879193732 +883 183 5 891696895 +796 143 5 893218728 +169 525 3 891359250 +497 569 2 879362359 +749 273 4 878848243 +429 1074 3 882387163 +882 1412 3 879867368 +367 876 3 876689418 +842 328 2 891218192 +336 407 1 877757373 +755 688 3 882570077 +787 328 3 888979874 +833 806 4 875122675 +825 127 3 880755612 +286 906 5 884069544 +664 705 4 878092802 +777 522 5 875980669 +610 423 4 888703710 +936 476 4 886832544 +894 26 4 882404460 +901 63 5 877131307 +541 678 5 883864160 +663 265 4 889493691 +603 273 1 891956124 +823 427 4 878439038 +846 288 4 883946837 +655 157 3 887611445 +313 229 3 891028241 +864 1112 2 888891097 +313 582 2 891016622 +893 161 5 874830122 +940 47 3 885921758 +864 95 5 888887045 +864 939 4 888890102 +173 881 3 877557168 +680 143 4 876816224 +938 25 4 891356532 +268 29 1 875744356 +943 64 5 875409939 +819 345 4 884618137 +276 332 4 877933879 +768 9 5 883835026 +536 1030 3 882364170 +796 849 4 893048562 +937 255 3 876769323 +805 1119 3 881696759 +87 1118 3 879877007 +184 629 3 889911162 +389 663 4 880087026 +456 56 5 881373353 +716 154 5 879795867 +864 546 4 888892015 +529 991 1 882535639 +937 124 4 876769212 +484 732 5 891194864 +463 740 4 877385922 +869 815 1 884491966 +823 141 4 878438484 +527 175 3 879456132 +877 307 3 882676190 +361 155 3 879441008 +344 463 4 884901210 +715 56 5 875963387 +497 239 4 879362835 +749 196 4 878848302 +833 742 3 875036468 +680 294 4 876816043 +805 724 2 881696699 +840 656 4 891205041 +689 181 5 876674861 +312 124 3 891698726 +902 307 3 879463582 +313 576 3 891028472 +423 100 5 891395448 +682 161 3 888522542 +796 172 4 892663090 +870 13 4 876319137 +328 50 4 885045702 +891 409 4 883490041 +880 357 5 880175622 +930 705 2 879535609 +601 934 1 876348285 +93 934 3 888705988 +725 288 3 876103725 +828 355 2 891035437 +698 28 2 886366916 +773 50 5 888539993 +531 1316 4 887049214 +37 226 5 880916010 +381 520 5 892696757 +916 715 4 880845099 +593 468 3 886193438 +814 444 2 885411347 +566 168 4 881650003 +347 237 4 881652629 +793 628 3 875103942 +627 79 3 879531158 +618 418 3 891308260 +537 1 2 886029889 +363 1478 1 891498469 +336 1118 4 877758055 +749 292 4 878846384 +525 742 3 881085843 +745 168 3 880123671 +907 1284 5 881030348 +527 23 5 879456611 +666 696 3 880313811 +565 207 4 891037393 +854 260 3 882812030 +864 993 4 878179411 +647 82 4 876533912 +532 761 4 874787387 +598 748 4 886711034 +883 269 3 891691436 +834 15 4 890863052 +458 276 5 886394470 +872 405 4 888479151 +936 259 3 886831709 +919 307 4 885059506 +902 228 3 879465834 +804 554 2 879447476 +786 208 5 882843150 +896 1351 2 887160399 +847 742 3 878774969 +854 153 4 882813990 +886 1067 5 876032509 +125 66 5 879455184 +902 423 4 879465765 +708 1054 3 877326158 +551 219 5 892784479 +214 896 4 892668197 +601 1039 4 876350185 +443 307 3 883504564 +653 54 3 880152523 +872 974 4 888479701 +919 367 4 875921085 +748 421 4 879454630 +561 24 3 885807776 +891 1278 5 883489709 +312 459 4 891698365 +450 91 4 887660763 +535 466 3 879618385 +655 695 3 891585242 +881 240 1 879052141 +792 237 3 877910444 +863 307 5 889289157 +297 100 5 874954183 +470 874 3 879189137 +653 38 3 880152955 +851 751 4 883148669 +615 262 4 879447556 +892 951 4 886610649 +806 419 5 882388706 +30 135 5 885941156 +407 234 3 875042268 +686 427 5 879546319 +564 302 3 888718415 +927 401 2 879196762 +863 310 5 889288943 +824 245 2 877021121 +654 1014 3 887863981 +841 689 5 889067253 +657 340 4 884237291 +406 1073 3 882480671 +489 984 5 891362904 +391 291 3 877400062 +826 1231 3 885690854 +778 154 5 890670560 +868 556 3 877110060 +804 685 4 879443946 +883 153 5 891723290 +792 118 2 877910538 +405 1488 1 885546680 +773 809 1 888540186 +763 527 3 878915692 +708 112 1 877325934 +535 919 4 879618207 +805 8 3 881704063 +328 810 3 885049535 +837 222 3 875721793 +253 200 4 891628392 +216 1067 5 881432392 +724 329 4 883757670 +6 533 4 883599830 +867 1154 5 880078991 +694 202 4 875727189 +845 1234 4 885409719 +927 227 2 879196283 +886 799 1 876032973 +721 1025 3 877138200 +788 322 4 880867422 +267 68 4 878972931 +795 109 3 880557210 +618 939 2 891308791 +883 523 5 891694276 +804 429 4 879445037 +797 243 2 879439104 +942 258 4 891282438 +933 233 2 874939008 +921 222 5 879381128 +622 578 4 882670843 +11 365 3 891904764 +446 322 3 879787226 +839 127 5 875751723 +912 186 3 875966202 +409 134 5 881106734 +566 790 3 881651464 +476 325 1 883365684 +804 79 4 879441627 +904 402 4 879735679 +677 455 5 889399470 +914 739 2 887124376 +927 625 3 879191360 +790 577 2 885158122 +892 195 5 886607710 +233 462 5 879147730 +535 132 5 879619035 +840 190 5 891211236 +790 1471 2 885158374 +757 125 2 888467666 +727 395 3 883713692 +919 261 3 885059658 +601 65 4 876350017 +886 721 5 876033460 +590 591 3 879439256 +880 210 4 880167670 +777 273 4 875979432 +847 47 2 878939700 +751 596 4 889133852 +921 1016 4 879379562 +717 289 4 884641911 +788 43 3 880870299 +535 268 3 879617199 +943 284 2 875502192 +521 257 3 884476035 +868 646 5 877109435 +933 195 4 874854589 +868 142 1 877109874 +265 294 4 875320052 +730 340 3 880309892 +840 23 5 891204827 +757 64 5 888445298 +871 310 3 888192858 +622 175 4 882669645 +293 223 4 888905990 +560 546 2 879976705 +804 307 4 879440600 +837 16 2 875721793 +588 584 3 890024677 +892 210 4 886608507 +798 482 3 875638884 +115 302 4 881169559 +896 742 1 887159464 +749 495 4 878847612 +749 1136 4 878847804 +901 73 5 877131416 +864 443 4 888890639 +401 216 4 891032803 +848 180 2 887038993 +130 144 5 875216717 +610 71 4 888703258 +889 480 5 880178019 +823 4 5 878438607 +767 1121 5 891462917 +660 118 2 891198479 +938 1047 3 891357107 +145 269 5 879161576 +700 202 3 884493899 +516 474 5 891290648 +486 405 4 879875040 +269 747 4 891449646 +838 1 5 887064024 +815 91 3 878696840 +708 276 2 877325905 +928 288 3 880935738 +470 222 3 879178711 +804 434 4 879442642 +429 1139 2 882387434 +233 135 4 877661881 +702 690 1 885767392 +917 100 4 882910830 +774 444 1 888557772 +749 428 3 878849534 +506 1020 4 874873067 +902 87 4 879465834 +661 515 5 876017294 +716 79 4 879794935 +596 328 5 883539103 +650 519 4 891381545 +864 282 3 888887469 +830 550 5 891561870 +797 720 2 879439735 +514 118 2 875463416 +624 312 4 891961343 +276 710 4 889174849 +653 356 1 880151734 +487 405 4 883443504 +406 432 5 879793081 +933 265 4 874854697 +368 844 3 889783453 +840 607 4 891204627 +709 250 4 879847626 +349 284 5 879466156 +104 121 2 888466002 +629 268 5 880116722 +405 382 1 885546336 +558 100 5 879436396 +899 742 4 884119830 +851 204 4 875731567 +362 347 5 885019261 +640 373 3 874778756 +406 1170 4 880131851 +343 258 5 876402390 +876 174 4 879428378 +662 268 5 880571005 +613 530 5 891227262 +899 566 3 884122535 +880 97 4 880175714 +326 507 2 879875873 +669 515 5 891517238 +936 995 3 886831637 +892 516 5 886608263 +892 155 2 886609435 +758 79 4 881976061 +708 281 4 877326014 +634 547 4 877979407 +621 276 4 880736723 +804 328 4 879440600 +758 1088 3 880672830 +553 507 3 879948831 +60 423 4 883326593 +589 304 5 883352599 +497 55 3 879310705 +259 168 5 876365003 +883 88 4 891696715 +100 885 2 891375359 +758 713 3 881977533 +519 895 4 883248222 +58 823 1 892242419 +790 268 4 884460878 +733 274 3 879536723 +836 286 3 885753435 +392 316 5 891037811 +577 1042 4 880475286 +804 152 4 879445466 +712 941 5 874730491 +175 136 4 877108051 +312 529 5 891699121 +624 411 4 879793269 +716 949 3 879796718 +916 30 4 880844463 +246 765 2 884924026 +535 179 4 879617489 +889 607 4 880179868 +569 274 4 879794740 +466 300 3 890282795 +717 121 2 884642762 +406 57 4 879446062 +710 156 4 882064524 +629 324 2 880116023 +711 98 5 879992994 +933 357 4 874853635 +643 780 4 891449442 +916 512 5 880844675 +633 45 3 877211326 +758 262 5 880672257 +533 177 4 879191300 +932 204 4 891250667 +846 792 4 883948221 +653 771 2 880606620 +595 127 5 886921199 +806 111 3 882385237 +567 340 3 882426300 +406 1109 4 882480865 +817 876 4 874815542 +868 434 3 877107056 +934 225 2 891197375 +506 447 4 874873847 +851 328 3 886534572 +897 28 4 879990779 +883 61 5 891693012 +886 176 4 876032143 +773 286 3 888538269 +886 212 2 876031897 +708 930 3 892719363 +835 509 4 891035309 +880 366 2 880242257 +492 462 3 879969292 +916 192 4 880844552 +875 963 4 876465275 +197 50 5 891409839 +478 71 3 889388790 +846 785 4 883950364 +927 95 5 879184447 +682 1132 3 888521907 +10 153 4 877886722 +542 88 3 886532727 +880 410 4 880166938 +733 20 5 879535299 +922 83 4 891448115 +716 740 4 879793714 +886 733 4 876032776 +881 22 5 876538028 +776 23 4 891628708 +524 221 4 884323464 +378 265 4 880045989 +13 60 4 884538767 +936 1023 2 886833661 +640 92 4 874778515 +270 242 5 876953744 +887 121 5 881378370 +901 436 4 877131961 +795 567 2 883253903 +52 277 5 882922661 +864 549 3 888890730 +679 42 4 884487584 +393 941 4 889729212 +880 575 3 880175077 +5 380 3 875637191 +94 584 4 885872942 +468 218 4 875294971 +804 239 4 879442122 +94 737 4 891723459 +818 245 4 891870515 +731 190 5 886187538 +562 483 4 879195954 +766 484 4 891309391 +606 215 4 880923925 +941 15 4 875049144 +805 226 3 881694978 +21 877 2 874950972 +796 977 2 893194992 +655 1018 3 887472791 +567 427 3 882427124 +294 872 4 877818580 +804 72 4 879445281 +823 1070 4 878438332 +882 510 5 879864642 +327 33 3 887820341 +931 297 4 891036673 +393 250 4 887743453 +878 796 2 880869473 +779 596 4 875994324 +848 485 5 887042341 +234 1120 3 892079288 +825 628 4 880756504 +660 235 3 891198401 +735 123 3 876698866 +831 210 5 891354612 +380 86 4 885478374 +766 23 4 891309177 +72 237 3 880036346 +210 28 4 887736175 +906 823 3 879435664 +456 588 3 881374462 +896 181 5 887158829 +197 576 4 891410039 +934 435 4 891191365 +851 159 3 875806953 +303 33 4 879468021 +107 1243 3 891264466 +795 425 3 883249522 +829 125 3 891990619 +639 423 2 891239030 +796 227 4 893048471 +412 1 4 879716962 +883 712 3 891694249 +932 432 4 891250109 +755 340 1 882569732 +632 100 3 879457603 +673 326 4 888787423 +727 94 4 883713257 +406 372 4 880131929 +798 418 4 875639212 +592 527 5 882955889 +897 239 2 879992310 +756 919 5 874831383 +429 498 5 882384796 +599 284 4 880952229 +381 118 1 892697051 +671 123 5 883546677 +463 892 2 889936774 +92 369 3 886443672 +710 92 3 883705436 +572 924 1 879449840 +829 276 4 891990694 +796 15 4 893188341 +363 127 4 891495169 +660 675 3 891199556 +58 191 5 892791893 +601 382 4 876351582 +851 127 5 891961664 +866 882 2 891221165 +883 39 4 891696864 +326 429 5 879875175 +727 226 3 883711966 +889 1153 4 880181935 +624 340 3 879791884 +189 489 5 893265452 +622 739 2 882671554 +825 930 5 881184695 +315 475 4 879821036 +5 105 3 875635443 +838 945 4 887065917 +614 235 5 879464437 +602 508 3 888638618 +804 2 4 879445493 +110 31 3 886989057 +1 207 5 875073067 +922 447 1 891449901 +901 866 3 877126963 +579 327 3 880951494 +413 276 4 879969674 +886 423 3 876032422 +712 40 5 874956956 +38 451 5 892431727 +758 199 4 881975687 +57 168 3 883698362 +214 209 5 892668173 +932 495 5 891251105 +925 876 3 884717404 +64 919 4 889739834 +405 792 5 885545552 +627 245 4 879529556 +769 597 2 885424001 +170 300 5 884103732 +530 607 5 883790567 +835 28 4 891034052 +932 1126 5 891250862 +804 1025 4 879440765 +901 216 4 877132578 +919 332 4 885059537 +42 2 5 881109271 +144 198 4 888105287 +929 435 3 880817753 +904 181 3 879735362 +429 293 4 882385293 +788 89 5 880869548 +728 471 4 879443291 +731 1086 1 886186091 +716 633 4 879796808 +734 288 4 891022311 +856 294 4 891489502 +666 443 4 880568638 +936 20 5 886833795 +851 1143 5 891961798 +838 82 4 887066783 +930 238 4 879535544 +919 283 4 875288748 +682 468 5 888517869 +655 699 2 887650593 +707 476 3 880061111 +389 684 4 880087761 +904 237 5 879735551 +854 507 4 882813623 +717 285 5 884642214 +906 1009 2 879435212 +588 22 5 890024195 +782 1611 3 891500066 +668 69 1 881702566 +872 591 3 888479253 +758 230 4 884999132 +532 298 4 892859148 +934 818 1 891190288 +617 668 4 883789716 +872 151 2 888479434 +801 332 5 890332719 +87 685 3 879875856 +943 182 5 888639066 +497 413 3 879362292 +614 7 2 879464215 +87 372 3 879876565 +504 676 4 887908756 +387 655 3 886480352 +495 210 5 888632496 +805 433 4 883415418 +606 38 4 880927923 +892 79 5 886609622 +871 1386 3 888193136 +934 427 4 891191027 +710 56 5 882064021 +868 64 5 877103548 +709 69 5 879846332 +391 209 5 877399541 +806 131 4 882390496 +679 83 5 884486694 +727 982 4 883713632 +830 294 3 891464054 +864 542 4 888892841 +806 455 3 882385455 +922 660 3 891453122 +267 161 4 878972706 +916 216 4 880844312 +880 468 3 880242422 +253 751 3 891627815 +495 582 4 888635080 +165 432 5 879526046 +650 670 3 891387915 +815 625 4 878694705 +283 732 4 879298239 +665 92 4 884295080 +837 278 3 875722246 +906 129 4 879435469 +747 235 5 888733444 +151 143 5 879524878 +796 200 5 893218420 +916 234 4 880845206 +389 686 3 879991434 +445 343 1 891199385 +850 69 5 883195456 +393 577 4 889731437 +933 160 3 874853755 +743 259 3 881277656 +89 25 5 879441637 +896 127 5 887158578 +906 270 4 879434471 +887 588 4 881380298 +640 226 5 874778569 +303 577 3 879544340 +766 436 4 891310038 +899 470 4 884122016 +566 508 4 881649577 +99 544 4 885679183 +903 1048 4 891031906 +766 659 3 891309736 +135 38 3 879858003 +699 333 3 893140662 +532 2 5 893119336 +206 1433 1 888180049 +921 526 4 884673930 +109 56 5 880577804 +399 139 3 882348153 +806 175 5 882387756 +566 172 3 881649644 +500 462 4 883874715 +764 278 4 876243343 +804 671 3 879445493 +18 50 4 880130155 +537 311 3 886028446 +691 748 4 875542868 +650 211 4 891370971 +899 1101 5 884122112 +796 126 3 892690173 +889 231 3 880182444 +279 1250 1 888466349 +606 82 5 880925646 +916 1042 3 880845328 +561 117 3 885810220 +735 13 4 876698643 +862 282 5 879303123 +788 423 5 880868235 +892 2 4 886609006 +832 243 2 888259984 +354 512 3 891306892 +758 222 4 884999132 +342 476 4 875318488 +592 140 3 882956551 +901 243 2 877129839 +194 570 3 879529356 +792 762 4 877910206 +927 403 4 879194335 +918 1265 1 891986494 +795 739 1 883774317 +805 1149 4 881697229 +905 319 2 884983463 +621 299 1 880227012 +749 678 2 878846423 +648 809 3 884883323 +604 98 2 883668097 +933 1110 3 874938728 +848 109 4 887043421 +37 568 3 880915942 +407 175 4 875042865 +651 301 3 880126632 +567 654 5 882425701 +498 479 3 881957054 +880 1496 4 880243147 +643 1221 3 891450316 +751 101 4 889298622 +916 511 5 880844395 +889 436 3 880181275 +181 1281 1 878963241 +363 17 4 891495918 +883 477 5 891914545 +913 483 3 880757975 +682 365 3 888517986 +924 480 3 885457891 +21 991 2 874951039 +415 174 5 879439864 +653 692 2 880151884 +705 96 5 883428028 +890 286 5 882402181 +691 304 3 875542868 +882 185 5 879877245 +442 77 3 883391325 +189 14 5 893263994 +854 512 3 882814063 +711 214 4 879993871 +890 167 2 883010326 +178 203 4 882826242 +938 762 4 891356780 +764 202 4 876246312 +32 50 4 883717521 +934 132 4 891190609 +916 735 4 880844879 +76 1159 3 882606623 +332 685 4 887938277 +942 234 4 891283161 +783 292 4 884326382 +878 855 3 880867803 +930 113 5 879535573 +805 271 3 880055033 +934 4 5 891195713 +429 180 5 882385464 +939 742 5 880260915 +833 271 5 879818341 +497 739 4 879310474 +924 2 3 886759997 +627 188 4 879531196 +889 23 3 880179785 +508 163 3 883768862 +656 312 1 892318777 +807 523 3 892529519 +739 168 1 886958831 +901 235 3 877126963 +292 228 5 881105211 +835 486 4 891034084 +551 228 5 892783212 +577 133 4 880474694 +660 175 3 891199367 +622 4 4 882671120 +253 4 4 891628670 +594 292 3 874780864 +425 89 4 878738435 +618 87 3 891307931 +871 1072 3 888193541 +64 356 3 889740154 +679 432 4 884487514 +224 107 3 888104522 +313 497 4 891015296 +603 89 5 891956825 +437 8 4 880140752 +943 218 4 888639929 +707 739 2 886287919 +436 869 4 887771722 +661 185 5 876013447 +851 298 5 875730379 +405 1464 1 885546154 +540 343 4 882156677 +922 195 3 891450401 +303 562 4 879485447 +402 15 5 876267115 +918 175 3 891987339 +6 216 5 883601500 +907 1163 4 880159015 +536 87 3 882359584 +733 151 4 879535694 +823 418 4 878438672 +436 986 3 887770300 +655 132 3 887565138 +421 423 2 892241707 +642 609 3 885604859 +590 111 3 879438936 +846 41 3 883950859 +566 50 2 881650063 +606 273 4 878143509 +788 810 3 880870773 +232 475 5 880062469 +821 125 4 874792860 +837 9 3 875721889 +923 222 4 880388211 +330 966 5 876547311 +524 792 4 884636519 +840 493 5 891208958 +479 151 4 879461914 +296 153 4 884197419 +846 561 3 883950753 +727 238 2 883710910 +864 684 4 888887289 +896 4 3 887159173 +933 230 3 874854338 +890 195 5 882403045 +886 29 1 876033576 +406 56 5 879792811 +330 209 3 876547032 +533 498 4 879438850 +794 473 4 891036222 +778 143 1 890804547 +752 269 5 891208451 +717 7 4 884642160 +457 69 5 882396659 +889 182 4 880179586 +741 451 3 891457395 +721 282 4 877145657 +450 699 4 882395537 +864 85 2 888889327 +889 250 4 880177179 +420 493 3 891356864 +825 121 5 880756076 +399 1207 3 882350813 +392 326 2 891037685 +653 1 4 878855383 +790 79 4 885156538 +373 1444 3 877112116 +936 1008 5 886833098 +393 684 4 889554811 +177 98 5 880131026 +864 805 4 888889327 +38 185 2 892432573 +916 73 3 880845829 +653 100 4 878854666 +328 72 3 885046686 +807 132 4 892530003 +551 1303 1 892785399 +394 546 4 881058167 +848 405 5 887046915 +435 249 4 884134242 +466 195 4 890284857 +889 627 2 880181646 +661 228 5 876016545 +932 509 3 891248893 +920 310 4 884219768 +882 203 4 879867508 +936 1163 5 886833099 +899 732 3 884122776 +768 245 2 879523820 +846 527 5 883947500 +567 190 4 882427068 +932 14 4 891248856 +429 1133 2 882386848 +633 423 4 877212367 +873 328 4 891392756 +668 13 4 881591075 +28 588 3 881957425 +20 22 5 879669339 +654 24 4 887863651 +927 588 5 879183683 +486 25 4 879874838 +786 97 4 882843683 +807 373 4 893081695 +864 1044 3 888891049 +851 262 4 890343320 +822 101 2 891037465 +654 14 2 887863557 +349 985 3 879466118 +871 187 5 888193081 +327 433 4 887818991 +655 435 2 887860616 +815 79 4 878694493 +545 218 4 879899906 +897 433 4 879991434 +881 1033 1 876536745 +640 150 4 886474493 +254 143 4 886472643 +897 173 3 879990779 +903 4 4 891033564 +655 316 4 889978343 +932 133 4 891249675 +798 112 3 875296234 +514 188 5 875463028 +746 506 3 885075824 +715 944 2 875963755 +593 478 5 875660788 +640 209 5 874778154 +920 299 2 884220163 +796 578 4 893048562 +707 707 5 886286133 +633 82 4 875325273 +748 192 3 879454584 +825 405 5 880756442 +635 358 1 878878838 +648 663 1 882213502 +930 265 3 879535685 +321 430 3 879439734 +128 28 5 879966785 +428 242 4 885943651 +896 578 2 887160653 +896 455 2 887159723 +593 285 2 886193129 +586 410 3 884057783 +893 928 3 874829129 +697 326 4 882621548 +490 952 2 875427532 +345 58 4 884916322 +825 685 4 880756321 +592 654 5 882955703 +623 451 4 891034973 +747 1021 5 888640099 +659 82 4 891384499 +472 214 4 875979964 +934 173 3 891192965 +409 876 2 881105677 +707 770 3 886287405 +234 162 3 892335541 +506 231 3 874873847 +682 49 3 888522194 +804 449 3 879445281 +810 876 3 886614969 +910 273 3 880821492 +393 790 4 889729773 +457 695 3 882398345 +24 7 4 875323676 +201 806 3 884140049 +922 82 3 891449123 +222 245 3 878181198 +882 216 4 879867508 +213 42 5 878956263 +870 513 4 879713578 +749 1188 3 878850610 +221 550 4 875246183 +702 895 1 885767534 +719 274 3 888449274 +336 273 5 877760032 +77 636 2 884753061 +627 53 4 879531504 +913 7 5 881725846 +292 193 4 881105734 +875 418 4 876465230 +358 258 4 891269077 +168 845 4 884287668 +836 163 5 885754058 +890 385 4 882574402 +901 393 5 877131738 +494 238 5 879541207 +626 336 1 878771477 +619 33 3 885954133 +914 313 3 887121969 +906 471 3 879435415 +867 1065 5 880078424 +916 256 3 880843551 +864 470 4 888890052 +798 568 4 875656111 +436 507 4 887769801 +854 825 3 882813143 +896 148 2 887160606 +671 62 5 884036411 +717 887 5 884642133 +753 98 5 891401366 +913 57 4 880758348 +798 73 4 875914114 +721 335 3 877137359 +560 1019 4 879975529 +896 9 4 887158266 +844 294 2 877381206 +279 854 1 875306613 +833 226 3 887158946 +303 390 3 879544365 +312 601 5 891699067 +870 58 5 875050723 +56 193 5 892678669 +847 262 5 878774788 +919 31 3 875373416 +916 685 2 880843727 +711 88 5 886030557 +840 1639 4 891211447 +484 121 4 881449910 +851 925 3 875731022 +521 195 4 884477775 +21 408 5 874951188 +506 521 5 874873529 +847 317 3 878940732 +784 334 3 891387812 +151 124 5 879524491 +893 976 1 874828981 +815 226 3 878698704 +932 519 4 891249710 +878 276 3 880865715 +679 568 2 884488259 +804 647 5 879442001 +697 324 5 882622481 +648 435 5 882212651 +903 461 3 891033334 +694 661 5 875727926 +497 63 3 879362985 +669 357 4 891260616 +650 628 3 891369982 +931 459 4 891036506 +587 328 1 892871284 +833 840 2 875297195 +659 611 4 891384606 +454 606 2 881960330 +934 492 4 891192087 +458 116 4 886394623 +394 168 5 880886919 +851 690 4 891961166 +907 462 4 880159666 +537 482 4 886031375 +650 604 3 891385178 +655 507 4 888813371 +422 339 2 879743848 +398 111 3 875652318 +664 95 4 878090125 +711 186 3 879993237 +928 165 5 880936863 +886 709 3 876032473 +450 601 3 882376658 +821 484 5 874793898 +450 186 3 882396799 +295 143 4 879517682 +887 257 5 881377854 +566 260 2 881649273 +805 768 2 881706049 +715 249 4 875961919 +514 177 3 886189816 +332 1210 3 888360460 +823 238 5 878438057 +576 471 4 886986237 +321 526 3 879440245 +541 83 5 883864806 +747 664 2 888638876 +144 411 4 888104588 +757 227 4 888466652 +259 928 4 874724937 +646 877 3 888529014 +854 58 3 882813825 +440 258 4 891547637 +453 229 2 888206219 +869 476 1 884492519 +311 939 2 884364694 +933 388 1 874938620 +454 504 2 888266955 +560 201 3 879975718 +87 1186 3 879876886 +372 7 3 876869387 +893 1012 3 874828163 +524 6 5 884627388 +823 631 4 878439293 +308 259 3 887736408 +548 539 2 891415257 +868 432 2 877108624 +808 340 5 883949986 +796 1055 3 893188577 +892 1035 3 886608643 +830 174 5 891561606 +664 306 4 876523133 +661 164 4 876035968 +774 150 1 888558787 +815 686 5 878695092 +303 63 1 879484327 +878 215 2 880866687 +766 429 4 891310067 +922 181 5 891449122 +586 44 3 884065692 +796 71 4 893218764 +865 412 1 880144504 +354 714 4 891217449 +372 234 5 876869387 +910 56 4 880821656 +13 825 1 882397651 +450 603 5 882373088 +847 1 3 878775523 +764 273 3 876242649 +487 210 4 883529505 +339 654 5 891032150 +798 125 3 875296178 +805 428 5 881704337 +936 274 3 886832858 +457 423 5 882397699 +488 193 3 891293911 +919 313 5 885059400 +254 241 4 886473190 +504 454 5 887838008 +939 255 5 880261094 +670 96 5 877975070 +897 483 3 879991921 +645 185 5 892054537 +826 779 3 885690900 +833 433 3 875124181 +194 136 5 879521167 +934 13 5 891189566 +530 237 4 886629307 +823 58 5 878438930 +394 118 4 880889066 +648 228 5 884882702 +881 575 2 876539330 +930 235 2 879535207 +887 243 1 881378370 +801 245 3 890333042 +712 142 4 876251366 +927 143 3 879196231 +567 507 5 882425820 +934 414 5 891191027 +279 1034 4 875297381 +230 423 5 880484825 +682 775 1 888521981 +645 50 4 892054824 +790 570 2 885158057 +279 428 1 875307379 +279 429 4 875306910 +581 844 5 879642274 +576 678 3 886960535 +848 739 5 887048260 +1 244 2 887431973 +936 696 2 886833191 +939 266 2 880260636 +815 230 5 878698098 +737 171 4 884314644 +478 780 3 889397808 +660 8 2 891199781 +590 476 3 879439345 +130 17 5 875217096 +727 627 3 883711150 +943 79 5 888639019 +498 100 3 881955291 +925 788 3 884718204 +936 678 3 886831820 +474 1124 4 887927152 +151 301 4 879523925 +655 191 4 887472744 +543 82 4 877545605 +457 47 4 882396935 +645 653 5 892054990 +197 802 4 891410082 +922 739 3 891448516 +479 235 3 879460503 +890 667 2 882404652 +758 362 5 888020763 +222 790 1 878185068 +821 471 4 874792752 +768 127 5 883835026 +918 154 2 891987411 +782 257 3 891499278 +497 417 2 879363627 +883 56 5 891694276 +92 1037 2 875907702 +842 752 4 891218353 +815 613 5 878694983 +927 1035 4 879199030 +588 552 1 890031021 +753 64 4 891402379 +365 108 2 891304019 +805 642 4 881695830 +393 625 4 889554780 +810 328 5 885406635 +862 655 5 879305016 +382 235 5 875946830 +833 150 3 875036213 +435 412 3 884134677 +848 520 5 887039329 +796 633 5 892662070 +879 181 4 887761088 +880 1277 4 880167355 +555 47 2 879975505 +916 581 4 880845543 +584 228 5 885774171 +890 501 4 882403085 +858 678 1 879459926 +82 603 5 878769479 +495 662 5 888636810 +625 300 3 891262561 +299 503 4 878192601 +846 506 3 883948908 +428 245 5 885943713 +347 627 4 881654545 +698 195 4 886366483 +880 250 3 880167521 +303 155 3 879484159 +288 210 3 886373509 +835 591 4 891032579 +280 403 3 891701506 +659 214 3 891387399 +562 1126 4 879196045 +804 655 4 879442377 +896 527 4 887159723 +838 175 3 887066186 +881 95 4 876537679 +660 210 4 891199293 +902 479 4 879465583 +813 266 2 883752660 +833 217 2 875224252 +933 181 2 874854100 +881 521 4 876537870 +94 248 4 891724341 +575 318 5 878148087 +634 950 5 877018125 +486 458 3 879875069 +630 22 3 885668328 +787 362 3 888979657 +83 479 5 880307699 +747 70 4 888733218 +68 926 1 876974298 +746 455 4 885075304 +868 709 4 877109197 +883 347 4 891691559 +796 48 3 892663090 +7 421 3 891352134 +828 179 4 891036972 +608 736 4 880403484 +221 737 4 875393346 +752 750 2 891207791 +562 323 2 879194768 +453 55 4 877554301 +916 290 3 880845206 +293 284 2 888905122 +624 3 3 879793436 +92 149 3 886443494 +825 100 4 880755942 +856 286 4 891489299 +943 508 5 875501795 +727 568 3 883711476 +853 270 4 879364822 +705 257 4 883426944 +537 1420 1 886029181 +938 756 3 891357019 +903 61 4 891033302 +854 98 4 882814394 +632 685 2 879459394 +897 526 5 879990813 +537 204 3 886031786 +762 286 4 878718810 +188 259 3 875071443 +223 1234 3 891548646 +566 685 3 881651183 +59 658 4 888205188 +606 833 5 887060394 +472 105 3 875979402 +932 429 5 891249675 +939 1028 5 880261868 +552 258 4 879220564 +339 92 4 891033452 +311 578 2 884365930 +548 597 4 891415890 +934 792 3 891193132 +629 153 5 880116818 +865 588 2 880235060 +716 495 4 879795762 +830 427 5 891462531 +854 297 4 882812263 +833 181 2 875036321 +658 69 4 875147995 +708 336 2 892718846 +524 676 3 884322379 +568 1137 4 877907092 +234 385 2 892335309 +16 135 4 877720916 +436 143 2 887770092 +647 1016 4 876534131 +796 779 3 893048713 +659 447 3 891386910 +454 604 3 881959960 +916 164 4 880845028 +825 148 4 880756725 +795 402 2 883254905 +509 690 3 883590676 +617 74 5 883788859 +521 203 3 884477896 +296 898 4 884196284 +234 144 3 892079840 +648 475 1 884364250 +931 137 3 891036552 +886 159 2 876031695 +639 215 1 891239271 +747 433 3 888733387 +779 111 4 875994324 +627 82 4 879531248 +871 262 3 888192970 +20 50 3 879667937 +876 604 5 879428406 +757 17 3 888466490 +535 32 3 879617574 +733 148 3 879536607 +774 778 5 888556046 +870 70 4 889409590 +30 780 4 875060217 +64 435 4 889737771 +588 159 1 890029795 +743 258 5 881277357 +897 406 3 879993577 +867 603 5 880078452 +233 180 5 877661364 +64 241 3 889739380 +696 327 4 886404144 +1 19 5 875071515 +38 673 5 892432062 +201 1355 1 884111637 +765 170 5 880346854 +853 304 4 879364822 +667 475 5 891035051 +896 265 4 887158604 +690 232 4 881177689 +774 548 1 888558041 +663 676 3 889492435 +716 630 4 879796138 +916 755 2 880845574 +371 176 4 877487135 +608 421 5 880406427 +666 124 3 880313391 +514 137 3 875318114 +506 333 4 887230118 +846 1297 3 883950665 +746 265 4 885075399 +655 1010 3 887477191 +154 475 4 879138832 +270 563 3 876956442 +804 32 3 879444352 +763 137 4 878918332 +458 275 5 886394471 +880 1058 2 880242421 +936 125 4 886832757 +913 200 5 880825443 +716 515 5 879793293 +159 118 4 880557464 +928 487 5 880936769 +927 420 5 879193437 +62 76 4 879374045 +271 428 4 885849188 +815 233 3 878694381 +363 372 4 891496077 +548 250 5 891044304 +712 178 2 874956357 +749 240 1 878850656 +880 1036 2 880243147 +913 235 1 881725960 +244 924 4 880604550 +535 608 4 879617856 +763 194 5 878918406 +843 504 2 879446911 +855 855 4 879825488 +534 288 4 877807429 +597 990 2 875339041 +782 181 3 891499213 +2 286 4 888549960 +842 306 4 891217942 +627 566 3 879531249 +407 737 4 875117053 +666 23 4 880139467 +343 222 4 876402978 +840 603 5 891204564 +790 739 4 885156686 +276 1052 2 889174870 +786 281 4 882842044 +571 69 2 883354760 +873 342 4 891392698 +95 52 4 879198800 +328 447 2 885045528 +472 825 5 875979439 +459 186 4 879566321 +892 8 5 886607879 +901 435 5 877131342 +894 171 3 882404595 +258 326 5 885701024 +577 50 4 880474394 +716 300 5 879792599 +878 14 5 880865865 +621 184 3 874964267 +56 393 4 892677047 +727 402 3 883711847 +899 174 5 884121125 +378 313 5 889665301 +276 1019 5 883822485 +733 544 1 879535407 +749 1013 1 881073081 +785 69 4 879439137 +932 38 2 891251696 +611 354 3 891636192 +682 23 4 888519725 +548 431 5 891044446 +873 339 3 891392871 +831 742 3 891354866 +887 596 5 881378118 +562 514 1 879195848 +20 243 4 879667799 +815 97 5 878694983 +653 183 3 878854100 +335 340 5 891566808 +827 289 3 882807571 +748 7 4 879454662 +833 163 3 875122814 +883 113 4 891693723 +650 1419 3 891381884 +880 85 3 880174904 +897 79 5 879994113 +18 142 4 880131173 +651 995 1 880126547 +467 222 3 879532651 +863 909 3 889289619 +256 449 3 882164999 +782 304 4 891497906 +922 579 3 891447988 +648 692 4 882213535 +424 840 4 880859693 +497 805 3 879362835 +398 655 4 875658967 +790 135 3 885156538 +722 25 4 891281108 +399 561 2 882345335 +861 242 5 881274504 +886 69 2 876031932 +939 756 5 880261532 +892 56 4 886607957 +919 238 3 875372988 +654 237 4 887863339 +880 150 4 880166798 +478 150 4 889388098 +727 815 3 883709188 +883 208 4 891694340 +673 895 3 888787423 +378 287 2 880044802 +655 502 4 887477168 +933 654 4 874854338 +831 327 2 891353940 +94 412 2 891724485 +280 452 2 891702387 +757 250 4 888444088 +642 91 4 885603897 +46 286 5 883611352 +250 588 5 878091736 +804 252 4 879441160 +343 116 5 876403009 +886 1010 5 876032103 +923 280 3 880388097 +795 191 4 883249962 +880 231 2 880167880 +425 161 3 878738187 +494 323 3 879540901 +699 546 3 879147769 +781 294 1 879633862 +447 211 4 878855724 +883 96 4 891696864 +832 264 3 888259480 +894 32 4 882404137 +605 508 5 879425432 +526 181 4 885682448 +929 195 4 880817681 +876 527 5 879428406 +508 228 5 883777430 +940 692 4 885921651 +437 249 5 880142027 +537 494 4 886031752 +35 321 3 875458970 +835 132 5 891033232 +916 559 3 880845658 +385 240 4 879447317 +916 767 4 880845522 +536 993 3 882318629 +848 238 4 887046329 +931 685 4 891036902 +620 432 4 889988036 +550 15 5 883426027 +476 959 3 883364433 +655 1082 3 887425655 +3 353 1 889237122 +119 727 5 887038711 +903 198 4 891032872 +843 1135 3 879447377 +634 410 4 877017872 +484 14 4 885237963 +847 417 2 878941588 +807 144 4 892528771 +863 292 2 889289067 +301 299 3 882075520 +119 172 4 874782191 +513 435 5 885063304 +160 832 1 876770673 +840 503 4 891209322 +925 260 3 884717669 +184 480 4 889908571 +699 270 4 893140745 +664 157 3 876524731 +405 181 5 885547909 +747 1170 2 888733182 +406 425 3 884630617 +764 222 4 876243440 +285 286 3 890595584 +527 582 2 879456078 +805 1118 5 881704553 +823 181 4 878438260 +804 1244 2 879441132 +937 326 1 876768813 +751 916 1 893113145 +851 327 4 890804671 +546 343 3 885140117 +913 227 1 881368310 +825 195 5 881101543 +586 356 4 884065692 +407 85 4 876339975 +655 793 3 888813186 +437 420 3 881002191 +919 126 4 875289170 +825 620 3 889021134 +579 268 3 880951444 +897 208 5 879991037 +698 187 2 886366916 +622 9 4 882669969 +394 418 4 880887462 +943 187 5 888639147 +897 168 3 879991341 +478 1041 3 889396449 +38 433 5 892433771 +592 815 3 882608625 +846 550 4 883949156 +42 658 2 881107502 +916 919 5 880843465 +846 448 5 883949547 +395 300 3 883762362 +393 541 3 889555384 +694 133 5 875727189 +81 79 5 876534817 +542 432 5 886532552 +158 83 5 880134913 +279 27 5 875313015 +372 273 5 876869730 +888 631 4 879365224 +794 224 4 891035793 +394 403 4 880889034 +836 289 1 885753691 +694 530 5 875726708 +683 288 3 893286259 +321 659 4 879440980 +149 311 3 883512752 +14 382 5 879119739 +49 200 3 888067358 +416 345 5 893214332 +846 1078 2 883949982 +832 895 2 888259285 +768 763 2 883835210 +643 716 3 891449507 +806 128 3 882388419 +942 528 5 891282840 +453 1303 2 888206730 +603 227 3 891955972 +435 658 3 884133223 +863 304 3 889289240 +119 287 4 874775465 +805 411 2 881705350 +843 216 2 879446806 +416 173 5 893214127 +537 506 3 886031860 +802 259 2 875984938 +911 134 4 892838823 +560 58 3 879975485 +629 42 2 880117430 +850 659 4 883194709 +896 379 2 887159805 +829 86 4 891992008 +523 202 4 883702054 +125 289 5 892835854 +942 659 5 891283161 +763 12 5 878918486 +406 9 5 879445735 +880 976 2 880243588 +727 108 3 883709948 +506 641 5 874873158 +886 9 5 876032274 +588 697 5 890024002 +892 357 5 886607568 +458 194 2 886397504 +823 174 5 878437589 +901 194 5 877131342 +747 199 4 888639102 +572 100 3 879449632 +600 1004 4 888451839 +595 1010 4 886922069 +393 720 3 889554648 +864 651 5 888888168 +577 763 3 880470638 +870 793 5 875680258 +566 78 1 881651829 +807 428 4 892530439 +933 392 3 874854652 +671 11 4 884035774 +497 795 1 879363284 +868 24 2 877108385 +756 225 1 874830864 +864 28 5 888887247 +829 410 3 881086959 +854 258 4 882811810 +907 117 5 880159172 +833 526 4 875224515 +184 676 4 889907925 +659 512 3 891386040 +498 268 2 881954618 +919 989 2 875288418 +589 751 4 883352562 +377 678 2 891297043 +846 425 5 883949156 +655 1578 3 887650714 +936 286 5 886833794 +892 465 4 886609295 +59 608 4 888204502 +757 143 3 888468693 +697 339 2 882621714 +661 86 4 876035679 +450 61 4 882376446 +872 845 3 888479313 +496 68 4 876067192 +299 211 4 877880961 +201 697 4 884140115 +751 865 2 889135211 +455 52 3 879112011 +919 116 3 875288749 +869 275 4 884490936 +807 205 3 892528605 +887 109 5 881378289 +554 717 3 876232553 +59 90 2 888206363 +361 121 2 879441324 +731 694 5 886184421 +479 143 1 879461669 +846 200 4 883948685 +927 815 3 879181259 +58 56 5 884305369 +405 435 1 885547176 +741 732 4 891456509 +542 401 3 886533193 +389 418 4 880165168 +682 752 4 888523634 +342 9 5 874984233 +932 654 5 891249877 +546 219 5 885141439 +897 530 3 879990531 +807 422 4 893082741 +868 193 2 877108123 +878 174 3 880872669 +569 118 4 879794265 +932 479 5 891249794 +303 419 4 879467328 +917 756 4 882911622 +92 841 3 886443455 +897 135 3 879990843 +712 510 2 874729749 +350 190 4 882346900 +830 173 4 891464148 +537 708 3 886031860 +804 632 3 879444488 +397 484 5 885349759 +795 202 3 881529874 +442 92 5 883389776 +749 22 5 878847327 +734 483 4 891025247 +565 86 5 891037757 +710 179 4 882063766 +701 326 4 891446707 +516 357 3 891290685 +864 203 5 888886846 +911 584 3 892841033 +892 136 4 886609365 +682 625 3 888523155 +840 22 3 891204265 +414 11 5 884999347 +934 614 3 891191334 +514 100 4 875318163 +654 508 1 887863355 +632 550 2 879458900 +768 682 3 883834776 +886 328 3 876031173 +727 186 5 883710598 +918 216 2 891987205 +712 42 1 874729935 +201 1 3 884113635 +392 11 4 891038371 +552 628 3 879221833 +315 466 1 879821349 +745 20 1 880123905 +922 455 4 891450688 +904 709 3 879735499 +222 472 2 877563998 +535 848 3 879618743 +476 433 4 883364250 +664 414 5 878090415 +711 941 3 879994608 +145 234 5 875271948 +915 346 2 891030070 +903 655 5 891466376 +846 489 4 883948606 +158 298 3 880132513 +896 188 3 887159011 +883 504 5 891754950 +764 371 3 876246436 +398 633 4 875726786 +486 50 5 879874582 +28 529 4 881957310 +340 969 5 884991647 +545 67 1 880348933 +934 661 4 891190960 +517 1177 5 892660728 +930 117 3 879534803 +869 1132 1 884492906 +328 316 5 888641915 +715 97 3 875964330 +381 268 4 892697982 +843 650 3 879447801 +847 663 2 878940954 +586 423 2 884058708 +484 87 5 891195746 +766 663 5 891310067 +634 744 5 877018125 +276 373 2 874977513 +878 921 4 880867665 +551 520 4 892777339 +870 286 4 875050332 +587 322 3 892871113 +881 1066 3 876538726 +892 663 5 886609330 +49 283 3 888066086 +848 183 3 887038104 +862 472 5 879303505 +403 476 4 879790468 +774 101 2 888558018 +704 432 5 891397535 +479 470 5 889125718 +747 1427 2 888639594 +231 15 4 879965704 +782 313 5 891497697 +806 29 4 882390296 +177 156 5 880130931 +666 294 3 880139037 +563 301 4 880506234 +59 73 4 888206254 +416 620 4 878879237 +833 200 4 875131847 +899 515 3 884121945 +336 85 3 877758078 +389 722 2 880089192 +932 67 2 891251611 +856 307 4 891489250 +450 11 5 882376365 +922 433 4 891451143 +919 129 5 875289025 +714 281 3 892777651 +882 208 5 879868197 +173 258 4 877556625 +828 752 1 891035438 +537 972 3 886032123 +301 41 3 882079446 +234 615 5 892079722 +862 81 5 879305237 +869 237 4 884490745 +805 928 3 881695930 +779 879 3 875501300 +899 455 3 884119910 +524 528 4 884634818 +18 187 5 880130393 +234 304 3 891033591 +582 742 3 882961082 +500 557 3 883875136 +847 210 3 878940584 +842 324 4 891218060 +915 347 5 891031477 +537 378 2 886032154 +870 53 2 879714351 +890 357 5 882403299 +429 357 5 882385636 +934 755 4 891196610 +848 973 5 887046619 +234 635 2 892336358 +875 187 4 876466687 +815 114 5 878695019 +758 62 2 881978368 +159 1012 5 880557080 +919 20 1 875289499 +466 260 4 890283592 +416 597 3 876698178 +798 432 4 876176259 +881 1480 2 876539636 +827 300 3 882201725 +861 292 4 881274504 +343 466 4 876404957 +734 485 5 891022976 +796 693 3 893188650 +592 182 5 882955662 +102 2 2 888801522 +472 402 5 892791063 +886 33 4 876033088 +474 431 4 887926999 +806 879 3 882384802 +303 412 3 879543756 +789 150 5 880332333 +878 285 5 880865562 +727 230 3 883711847 +826 29 3 885690750 +13 899 1 892015288 +876 511 5 879428354 +805 273 2 883415418 +545 1028 4 879900731 +823 426 4 878437658 +838 60 4 887067575 +881 756 4 876536012 +938 328 2 891356282 +269 167 1 891451648 +815 521 4 878694381 +659 517 5 891384888 +825 823 4 881342978 +932 173 3 891250337 +655 1042 2 887523641 +882 429 4 879866320 +774 508 3 888558731 +595 676 2 886921140 +734 202 5 891022684 +392 269 5 891037385 +899 827 2 884120388 +897 974 4 879993553 +903 188 5 891466376 +645 182 5 892053686 +524 1540 2 884635326 +805 890 3 882216972 +708 405 4 877325881 +764 2 3 876244856 +752 887 1 891207846 +897 528 3 879991933 +885 117 4 885715643 +903 871 3 891031833 +749 328 4 878846422 +648 186 5 882213597 +671 66 5 884204727 +820 328 2 887955079 +886 100 4 876032187 +796 31 4 893194547 +854 269 4 882811742 +606 1 5 878148365 +452 527 3 885490722 +452 825 5 885816916 +851 333 5 890862741 +435 288 4 884130605 +379 1035 3 880962256 +894 7 4 880993632 +731 655 5 886183515 +922 250 2 891454910 +913 19 5 881366383 +505 121 4 889334004 +887 559 4 881381555 +764 693 3 876246687 +881 23 4 876537419 +766 193 3 891309668 +896 800 3 887161448 +276 696 2 874786632 +542 435 4 886532818 +756 228 3 874828640 +875 213 4 876465408 +284 334 3 885329468 +936 272 4 886831374 +887 7 4 881377812 +786 210 4 882843039 +750 886 3 879446114 +805 950 3 881698828 +934 254 4 891190478 +292 331 5 877560833 +152 568 5 882829846 +608 268 4 880402983 +600 391 3 888452491 +378 561 3 880333695 +389 155 2 880088900 +916 24 2 880843419 +620 931 3 889987875 +622 88 3 882670749 +758 236 4 881974742 +921 97 2 884673891 +627 530 3 879531195 +834 276 5 890862468 +881 1411 2 876539595 +851 681 1 886534672 +896 33 2 887160209 +937 864 3 876769530 +250 323 2 878089100 +365 319 4 891303694 +753 313 5 891399135 +537 430 3 886031297 +546 109 5 885141260 +691 182 5 875543228 +887 118 5 881378289 +886 168 4 876031573 +770 240 2 875972582 +643 147 3 891445526 +308 480 4 887736532 +538 273 3 877107879 +678 222 3 879544989 +848 186 5 887039271 +734 605 4 891025555 +869 287 2 884492047 +883 1656 5 891692168 +592 24 4 882608021 +266 289 3 892256967 +764 819 3 876243159 +710 64 4 882063766 +717 628 5 884644605 +537 471 3 886030012 +102 174 4 888801360 +534 985 4 877807815 +880 281 4 880167384 +500 358 4 887755810 +887 151 5 881378325 +222 1145 3 878185137 +655 1195 3 887693376 +860 315 3 884029545 +896 284 4 887159972 +125 95 5 879454628 +486 100 5 879875465 +49 702 3 888066614 +937 236 4 876769373 +588 928 4 890027063 +840 639 4 891204564 +805 1002 1 881705592 +677 117 4 889399171 +826 586 4 885690819 +624 1059 1 879793358 +409 1050 4 881109420 +830 566 3 891561937 +862 767 4 879303807 +899 161 4 884122367 +246 226 2 884923329 +90 137 5 891384754 +773 235 4 888539677 +504 9 4 887831567 +299 381 3 889502198 +892 576 4 886610840 +125 85 3 892838424 +11 382 3 891904573 +943 609 2 888639702 +883 279 3 891717356 +803 304 3 880054792 +870 1451 3 891214479 +855 170 2 879825383 +823 202 4 878438672 +854 271 4 882811937 +938 343 4 891356062 +932 708 4 891251647 +933 105 2 874938475 +782 894 2 891498031 +464 479 4 878355167 +279 630 4 875313351 +592 180 5 882956102 +798 671 2 875639115 +500 554 3 883877162 +846 54 3 883949459 +855 919 3 879825462 +844 2 4 877387933 +370 57 5 879435431 +655 226 3 887429732 +870 64 5 889717102 +833 591 2 875036139 +659 73 4 891387083 +474 151 3 887916203 +167 216 4 892738237 +94 823 3 891722458 +698 135 3 886366483 +907 356 4 880159937 +804 290 4 879443795 +907 322 5 881030348 +392 657 5 891038401 +273 286 3 891292761 +600 518 5 888451908 +833 1335 2 875038433 +771 202 4 880659941 +840 71 3 891209572 +846 655 3 883948804 +786 455 1 882842762 +689 717 3 876676359 +886 12 5 876031279 +883 435 4 891696895 +362 879 5 885019357 +798 648 3 875914785 +773 887 2 888538175 +262 204 3 879793667 +621 790 4 874963081 +655 972 3 887475213 +618 633 3 891308571 +764 472 3 876243925 +761 7 4 876190206 +683 327 4 893286260 +524 488 4 884634707 +145 64 4 882181785 +769 473 3 885424337 +894 334 3 879896200 +874 751 3 888632147 +406 1101 4 879445771 +416 4 4 876699903 +772 344 4 889028581 +890 474 5 882403587 +314 812 4 877889163 +582 100 5 882960863 +879 685 4 887761865 +848 654 5 887038104 +567 182 5 882425701 +803 340 5 880055088 +895 988 3 879437845 +634 93 5 877018125 +617 452 1 883789590 +742 124 4 881335461 +711 1024 5 883589512 +13 28 5 882398814 +692 257 4 876953340 +934 94 4 891196117 +774 655 1 888555998 +554 284 3 876549009 +104 328 3 888442249 +843 226 3 879443865 +846 88 4 883948948 +203 748 2 880433474 +916 483 5 880844419 +455 22 4 879111500 +618 566 3 891308261 +804 629 3 879445072 +844 174 4 877387768 +334 561 2 891549455 +532 368 3 888630991 +846 140 4 883950634 +618 313 4 891306927 +216 97 4 880235571 +901 932 4 877127021 +886 191 5 876031309 +566 137 5 881649928 +337 151 5 875185627 +846 141 4 883948948 +749 568 4 878848098 +758 285 5 881974823 +942 484 5 891282963 +848 403 4 887043266 +664 96 3 878094973 +807 300 5 892527168 +916 550 2 880844985 +669 175 4 892550170 +760 71 4 875668080 +524 13 4 884323551 +497 372 4 879362875 +491 325 1 891189876 +56 1091 2 892737210 +875 518 4 876465408 +790 1185 2 885158257 +573 135 4 885843964 +663 466 3 889493467 +715 977 2 875962718 +833 429 3 875123506 +870 497 4 875050559 +829 116 4 881698644 +10 85 4 877892438 +119 349 3 887038665 +930 756 3 879535015 +374 825 3 880394233 +903 721 4 891380524 +504 705 4 887838935 +815 871 1 878693073 +941 455 4 875049038 +701 124 5 891447164 +632 485 4 879457157 +704 156 3 891397819 +938 243 4 891356085 +877 326 4 882676190 +804 651 4 879445904 +774 380 2 888556968 +63 10 4 875748004 +659 514 5 891385044 +847 181 4 878775821 +907 483 4 880159937 +785 661 3 879438810 +815 835 3 878694269 +653 111 2 878854996 +592 931 1 882608960 +782 1598 2 891499556 +7 509 5 891352778 +586 72 2 884067378 +91 183 5 891438909 +616 316 4 891224840 +883 659 3 891694218 +772 264 4 876250551 +457 169 5 882396935 +796 152 3 892690101 +868 169 5 877106505 +888 191 5 879365004 +749 1244 3 878847101 +864 133 5 888887984 +710 327 3 882063407 +612 477 2 875324876 +615 83 4 879448399 +933 95 3 874853666 +829 705 4 891204271 +907 699 5 880159619 +823 50 5 878438435 +907 471 5 880159059 +327 217 3 887746328 +691 64 5 875543191 +903 11 2 891033335 +868 127 4 877103679 +611 690 3 891636098 +880 823 3 880167435 +825 124 3 881097389 +886 156 4 876031413 +898 1296 4 888294942 +701 269 5 891446488 +892 515 5 886608380 +495 419 1 888632070 +916 204 3 880844813 +880 693 5 880242191 +531 894 1 887049214 +649 252 4 891440624 +543 69 4 874863436 +867 28 5 880078887 +727 544 3 883709518 +932 193 3 891250142 +78 411 4 879634223 +735 301 3 876697610 +276 452 3 880913767 +840 525 5 891204535 +145 9 2 875270394 +875 358 3 876464800 +885 142 2 885716369 +76 851 4 879576570 +487 393 4 884042207 +468 204 5 875287826 +852 252 3 891036866 +898 343 3 888294805 +851 483 4 875806721 +648 526 3 884368232 +665 456 4 884291662 +436 1248 3 887770485 +881 199 5 876538824 +758 388 3 882055289 +823 655 5 878439364 +525 293 3 881086108 +360 15 3 880354436 +44 175 4 878347972 +855 509 3 879825613 +308 684 3 887737593 +198 470 3 884208571 +936 1011 4 886832757 +687 879 3 884651894 +659 528 4 891385012 +918 69 3 891987497 +643 176 5 891447157 +545 271 3 879898362 +425 228 4 878738334 +16 127 5 877719206 +437 152 4 880141129 +399 433 3 882344269 +346 658 3 874949011 +880 902 4 892958301 +825 831 3 880756796 +648 428 2 884881754 +267 710 4 878972493 +495 77 4 888634475 +682 280 3 888517740 +870 98 4 880584497 +649 257 5 891440496 +530 1136 4 891568851 +823 12 4 878437925 +771 169 5 880659426 +201 1208 4 884140927 +738 28 4 875350913 +776 185 4 892920290 +494 603 3 879541298 +643 11 4 891446720 +709 38 3 879848744 +275 174 4 875155257 +749 1133 2 878850084 +511 343 3 890004892 +543 218 3 874864034 +90 847 5 891383753 +748 657 4 879455221 +363 8 5 891497853 +805 98 5 881695196 +707 251 5 880059647 +82 1059 1 884714456 +686 806 5 879546319 +536 275 5 882318287 +939 285 5 880261184 +452 1204 4 875560150 +860 692 5 885990965 +880 17 3 880174808 +699 870 3 879147814 +535 495 3 879618849 +504 756 3 887910240 +835 505 3 891033857 +521 827 1 884476904 +911 647 4 892839140 +782 300 4 891497906 +885 167 3 885713807 +886 144 4 876032509 +405 704 2 885546577 +393 82 4 887746174 +13 671 3 882396790 +500 425 4 883874413 +905 471 4 884983952 +881 182 3 876538571 +786 504 4 882843352 +648 391 3 884883031 +13 358 3 881515521 +577 98 4 880474530 +823 66 4 878439391 +770 596 4 875972988 +278 302 3 891294959 +474 606 3 887924571 +710 181 3 882064160 +721 326 4 877136236 +92 40 3 875656164 +393 732 4 889555272 +894 165 4 882404329 +908 216 3 879723074 +903 1067 2 891031412 +714 276 2 892777242 +804 797 4 879445280 +786 98 5 882843190 +791 304 4 879448035 +846 700 2 883950605 +671 451 4 884037004 +653 367 3 878867228 +318 294 4 884469971 +894 20 5 881625708 +790 685 4 884461988 +838 93 3 887063937 +914 732 2 887123465 +538 289 1 877095667 +378 803 3 880334440 +886 940 2 876034255 +745 276 1 880123905 +788 1459 2 880871857 +887 100 2 881377854 +835 988 3 891032391 +561 488 4 885807290 +870 1074 2 879270213 +460 151 3 882912205 +630 866 3 885667148 +933 575 1 874938620 +141 866 5 884585071 +840 657 5 891205287 +790 365 4 885157465 +455 770 3 879111586 +933 474 5 874853734 +521 216 2 885253247 +682 797 2 888522613 +798 1435 2 875639836 +445 93 1 891199945 +49 174 1 888067691 +913 604 2 882201336 +868 726 2 877109926 +851 591 5 891961663 +887 128 5 881380218 +327 318 5 887820828 +806 675 3 882388381 +566 136 4 881649621 +881 274 3 876536850 +889 789 2 880179508 +825 237 4 880931932 +92 155 2 875654888 +786 88 4 882844010 +542 293 3 886532466 +880 763 3 880167247 +401 211 4 891033092 +862 544 5 879304196 +846 357 4 883947960 +543 59 4 875659256 +871 324 3 888192689 +694 204 4 875728639 +933 153 3 874853779 +870 421 2 879539965 +653 79 4 878854051 +669 183 3 891260577 +788 130 2 880869396 +848 427 5 887039136 +458 97 1 886397931 +44 173 5 878348725 +455 159 3 879111500 +776 509 5 891628773 +870 722 2 879270213 +406 1153 2 882480836 +42 755 4 881108425 +622 127 5 882590534 +786 385 4 882844294 +877 56 5 882678483 +476 210 4 883364218 +923 282 4 880387624 +806 484 4 882387373 +846 478 4 883947819 +634 1197 4 875729106 +796 405 5 892660954 +881 1 4 876535796 +851 1287 1 875731105 +790 949 4 885156825 +745 169 4 880123671 +758 88 4 881979942 +618 144 4 891309887 +707 10 5 880059687 +174 143 5 886515457 +417 25 2 879646413 +561 636 1 885809670 +815 143 5 878694665 +747 735 4 888639735 +21 672 3 874951727 +760 375 4 875669114 +567 152 4 882426673 +651 690 3 880126508 +224 570 4 888104522 +653 739 3 880152902 +394 82 4 880889553 +393 66 3 889554707 +782 1620 3 891499440 +825 325 5 882109250 +835 127 4 891032536 +429 607 3 882385785 +806 79 3 882387448 +843 101 3 879447424 +863 990 1 889289385 +899 403 3 884122844 +884 529 5 876859301 +699 1057 3 880696553 +510 326 4 887667751 +708 225 2 892719172 +751 537 4 889134006 +880 385 4 880167843 +872 1165 2 888479537 +907 402 5 880160037 +408 310 4 889679761 +1 29 1 878542869 +886 761 4 876033368 +653 142 2 880153378 +484 197 4 891195973 +542 695 2 886532788 +846 836 5 883950186 +846 944 2 883949547 +727 576 4 883713454 +709 665 3 879848272 +140 321 4 879013651 +848 174 5 887038104 +151 135 5 879524471 +894 887 4 880993374 +932 480 5 891250746 +881 238 1 876537679 +943 1228 3 888640275 +789 276 5 880332063 +790 202 3 885156904 +854 498 3 882813877 +940 200 3 885922016 +789 151 2 880332365 +615 153 4 879449130 +621 142 3 874965299 +766 180 4 891308927 +670 144 4 877975285 +913 151 4 881368824 +342 12 5 874984315 +893 771 3 874830424 +472 385 5 892790676 +642 1336 2 885606520 +21 9 5 874951188 +472 831 5 875979498 +130 819 3 874953825 +542 509 4 886532209 +697 305 5 882621431 +115 628 5 881169883 +789 129 5 880332063 +645 301 2 892052070 +896 1267 2 887160165 +938 866 5 891356991 +425 743 4 878739054 +551 210 4 892777787 +446 321 4 879786943 +181 1368 1 878962200 +943 475 5 875501889 +781 69 3 879634147 +777 180 5 875980306 +677 290 1 889399295 +880 300 3 880166451 +280 33 3 891700715 +619 333 2 885953574 +877 159 4 882678512 +841 326 4 889067216 +915 301 2 891030032 +929 521 5 879640184 +492 275 2 879969210 +805 241 2 881694923 +160 288 5 876771285 +606 637 3 880927750 +663 845 3 889492796 +909 382 5 891920327 +769 1 4 885423720 +929 187 5 879640290 +409 511 5 881107943 +605 523 5 879424345 +92 217 3 875657595 +796 231 3 893048622 +643 1028 3 891446404 +907 819 4 880159442 +435 53 3 884133447 +824 319 2 877020927 +503 86 5 880383098 +5 210 3 875636099 +326 514 3 879875612 +660 652 4 891200370 +890 132 5 882403045 +846 65 3 883949254 +939 411 4 880261917 +943 840 4 888693104 +620 173 5 889988121 +913 176 5 880759221 +904 275 5 879735461 +521 526 3 885254307 +659 483 4 891383889 +907 185 4 880159801 +759 50 4 881476824 +752 323 1 891208261 +343 252 4 876403491 +875 131 4 876465229 +807 843 2 892684615 +875 421 4 876465335 +840 82 3 891209183 +885 72 1 885713631 +773 408 5 888539232 +604 672 1 883668261 +454 71 3 888266754 +201 284 3 884140336 +854 466 3 882813761 +465 929 3 883530818 +429 98 4 882384494 +752 1176 2 891208170 +867 528 4 880078371 +370 170 4 879435369 +829 529 4 881698976 +921 210 4 884673633 +716 52 5 879795467 +938 1016 3 891356799 +391 378 3 877399171 +880 818 2 880175468 +267 77 3 878972650 +643 959 3 891449741 +893 11 4 874829753 +931 333 5 891037521 +885 213 3 885715221 +588 568 4 890024876 +235 1134 4 889655723 +619 231 4 885954185 +698 357 4 886366454 +379 345 3 892879380 +537 91 2 886031438 +927 542 2 879193676 +642 410 1 885605988 +636 15 5 891449237 +823 176 4 878438807 +661 96 4 876015607 +886 228 4 876031601 +870 202 3 879714181 +406 207 2 879446529 +776 174 5 891629157 +94 622 3 891722609 +859 1009 4 885775277 +868 498 3 877104913 +535 192 4 879617931 +896 587 3 887159603 +62 7 4 879372277 +524 657 4 884634995 +876 288 3 879428101 +568 191 4 877907126 +751 25 5 889132252 +669 649 4 891260754 +864 82 5 888887830 +92 25 3 875640072 +327 176 4 887744240 +897 633 5 879991007 +733 471 3 879535814 +397 357 5 885350381 +504 514 4 887838485 +748 402 2 879454476 +909 880 4 891919406 +428 892 4 885944044 +642 1185 4 885606024 +697 276 5 882622505 +792 742 3 877909709 +854 479 4 882813623 +336 716 2 877758001 +846 95 3 883947778 +686 191 5 879546954 +207 45 3 878104569 +663 281 3 889492759 +425 334 4 890346567 +707 310 4 882200872 +818 312 2 891870546 +609 285 5 886894879 +593 144 4 875660569 +429 507 5 882385210 +615 238 3 879449044 +865 100 4 880143232 +766 219 3 891310241 +788 11 2 880868513 +709 959 4 879846169 +936 1202 4 886832221 +847 235 1 878776020 +843 708 2 879448230 +425 269 4 890346376 +682 693 3 888517537 +406 1147 4 879446228 +592 892 1 882607690 +544 300 4 884795612 +295 1050 5 879517761 +919 312 2 885059658 +896 173 5 887158683 +721 809 1 877139384 +332 89 5 888098060 +42 282 4 881105677 +778 712 3 890803176 +234 127 4 892078386 +638 22 5 876694787 +860 257 3 891733877 +738 121 4 875353780 +557 865 3 881179268 +655 1153 3 887477336 +775 347 3 891032837 +642 975 2 886130929 +615 521 4 879448475 +897 294 3 879988800 +749 140 3 878847673 +897 203 4 879990813 +774 100 1 888558731 +588 95 4 890015722 +233 64 5 880612285 +890 444 4 882404610 +697 307 4 882621431 +94 127 5 885870175 +303 71 3 879468179 +13 841 1 882398076 +896 557 3 887160426 +896 145 1 887161413 +862 211 5 879305051 +887 1120 5 881378439 +846 806 3 883948343 +144 760 2 888104283 +579 50 5 880951984 +798 571 3 875914458 +868 778 2 877109375 +929 100 4 878402162 +561 435 3 888232990 +542 90 4 886533227 +456 33 4 881374086 +829 639 4 881699005 +897 708 2 879991226 +156 9 4 888185735 +239 186 1 889179253 +892 67 4 886610480 +639 1065 1 891239030 +922 421 4 891448473 +73 188 5 888625553 +938 678 3 891356282 +806 161 3 882388328 +758 1090 1 882055460 +598 22 5 886711521 +4 360 5 892002352 +886 1489 1 876034074 +896 320 3 887159530 +870 433 3 879901879 +25 125 5 885852817 +871 216 3 888193384 +648 294 3 884366184 +933 940 1 874938664 +879 50 4 887761865 +643 226 2 891449476 +687 268 5 884652088 +804 1615 4 879441195 +921 662 4 884673724 +881 490 4 876538763 +398 478 5 875657857 +504 1037 1 887912584 +776 182 3 891628773 +405 46 1 885546445 +6 111 2 883599478 +748 813 4 879454497 +472 554 5 875982771 +610 195 3 888703583 +938 117 3 891356350 +868 509 3 877106470 +875 42 4 876465336 +373 238 4 877098890 +894 340 4 879896756 +932 1030 2 891252338 +880 550 4 880167880 +435 755 2 884132266 +524 1073 5 884635287 +774 573 2 888557804 +763 4 5 878917877 +880 31 4 880243629 +731 603 5 886182631 +624 696 4 879793223 +648 474 4 884368002 +546 760 5 885140808 +721 1119 4 877147795 +875 327 4 876464873 +650 585 1 891387979 +587 305 4 892871068 +846 89 5 883948003 +901 172 5 877131205 +682 300 2 888518320 +918 166 4 891987238 +536 483 4 882359625 +642 118 3 885603566 +795 640 4 883251200 +630 120 4 885667678 +857 892 3 883432515 +932 56 4 891250584 +130 219 5 876252472 +573 519 4 885844567 +905 137 3 884984148 +934 516 3 891191334 +840 414 4 891204535 +276 143 5 874792870 +871 526 5 888193337 +417 94 3 879649177 +883 154 4 891754985 +758 68 3 881977265 +105 880 3 889214335 +695 289 2 888806150 +932 167 4 891251647 +882 357 4 879864917 +198 128 3 884209451 +741 357 5 891018507 +13 803 3 882398255 +934 154 3 891191401 +472 916 5 892790627 +213 1012 3 878870719 +226 474 3 883889063 +936 1079 1 886832714 +880 1225 2 880174834 +886 188 4 876031365 +768 1061 1 883835210 +871 242 3 888192858 +795 1041 3 883254780 +805 150 5 883766549 +60 519 4 883326370 +799 427 5 879254077 +757 732 3 888467829 +646 748 3 888529054 +393 864 3 887745230 +833 64 3 875039204 +399 11 4 882344199 +405 940 1 885547605 +627 941 3 879530866 +303 173 5 879466604 +918 485 3 891987689 +852 358 3 891036414 +940 657 4 885921471 +106 463 3 881453413 +916 236 4 880843482 +933 216 3 874938239 +699 20 4 879147239 +363 582 2 891496306 +606 404 4 880925200 +430 168 4 877226568 +214 11 5 892668153 +633 94 4 877211684 +925 561 3 884718100 +646 272 4 888528483 +749 780 1 878849682 +864 52 4 888888861 +573 836 3 885844605 +401 99 4 891033582 +904 274 5 879735551 +896 810 1 887160958 +807 168 4 892529893 +791 275 5 879448314 +917 268 4 882910409 +715 155 4 875964580 +864 717 3 878179608 +880 93 4 880174623 +876 878 2 879428253 +458 99 4 886397110 +399 511 3 882341848 +489 312 2 891366748 +896 206 3 887159368 +846 177 3 883947737 +843 154 3 879446281 +677 101 5 889399671 +843 671 3 879446889 +854 799 3 882814298 +692 410 5 876953824 +296 150 1 884196556 +872 476 4 888479737 +850 419 5 883195394 +616 301 3 891224748 +303 221 5 879466491 +881 573 3 876539260 +639 86 4 891239406 +727 1188 2 883712632 +308 411 4 887739987 +748 216 4 879454998 +748 655 3 879454879 +560 1134 3 879976478 +752 315 2 891207791 +637 1258 1 882905070 +916 88 4 880845157 +320 827 4 884749030 +563 172 5 880507339 +741 164 3 891455766 +99 174 5 885679705 +788 523 4 880868559 +550 249 4 883425388 +928 176 3 880936817 +870 177 4 875050827 +289 117 4 876789514 +887 1383 4 881379239 +784 750 5 891386988 +474 378 4 887927152 +922 91 4 891448833 +734 95 4 891025573 +782 295 2 891499321 +593 73 2 875671807 +897 243 4 879988868 +385 1506 4 879442606 +758 99 3 882052960 +798 1043 3 875915279 +788 117 4 880869014 +793 406 2 875104221 +262 219 3 879794206 +380 514 2 885478780 +232 425 4 888549790 +65 77 5 879217689 +790 85 3 885156825 +592 1264 4 882955460 +373 328 4 877098041 +120 515 5 889489772 +856 347 2 891489217 +864 73 5 888888994 +203 628 4 880434810 +792 25 2 877909892 +885 135 2 885714159 +758 405 4 881978635 +586 696 3 884065851 +928 876 5 880936023 +533 919 2 888239673 +733 950 4 879535643 +663 111 3 889492562 +659 345 4 891044849 +831 294 4 891354043 +835 205 3 891034084 +927 541 5 879199250 +551 200 4 892782936 +756 432 4 874829258 +482 286 3 887644023 +663 294 3 889491811 +913 343 1 881037310 +548 271 3 891043509 +795 998 3 883255182 +883 511 4 891717419 +373 125 4 877098821 +416 765 4 886319522 +342 716 2 875320014 +661 294 4 876036384 +881 561 4 876538465 +174 708 5 886514243 +666 744 3 880313661 +823 410 4 878438535 +488 651 5 891294014 +839 323 4 875751559 +804 495 3 879442792 +934 316 4 891188727 +843 637 2 879443297 +686 89 4 879545481 +911 176 4 892841255 +486 1143 3 879874726 +918 1266 4 891988586 +671 443 3 884034132 +495 739 4 888637042 +774 1118 3 888556047 +942 661 4 891283139 +875 8 3 876465072 +592 886 3 882607476 +868 68 2 877106505 +784 344 4 891387078 +889 869 3 880182428 +782 1664 4 891499699 +919 305 4 885059623 +919 16 4 875289533 +721 948 1 877137109 +913 64 5 881725876 +328 96 4 885046174 +655 327 3 888685734 +823 230 3 878439557 +828 316 5 891034440 +758 137 5 881975539 +298 275 3 884125672 +637 300 3 882900888 +704 222 3 891397058 +374 595 3 880393921 +678 127 5 879544782 +874 311 4 888632098 +21 987 3 874951616 +870 172 4 875680098 +752 589 4 891208491 +232 196 5 888549757 +130 258 4 874953526 +908 123 3 879722822 +815 1204 5 878696619 +291 928 2 874834389 +143 271 4 888407708 +668 475 4 881605210 +697 881 2 882621523 +677 475 4 889399265 +896 231 1 887160771 +883 781 3 891694340 +751 7 3 889132251 +201 125 2 884140709 +497 391 3 879362545 +852 472 3 891037605 +837 111 4 875722050 +846 70 4 883949156 +655 88 2 890887261 +486 459 2 879875040 +734 283 5 891023066 +806 143 5 882390296 +595 290 4 886921748 +471 71 3 889828154 +804 97 4 879442057 +825 222 5 880755468 +151 922 4 879542847 +743 748 4 881277656 +675 321 2 889488708 +870 608 4 875680098 +788 391 2 880871746 +535 318 4 879618502 +712 1220 5 874729996 +830 661 4 891462594 +920 333 4 884219993 +244 1428 4 880603411 +548 515 5 891044304 +870 651 3 879539936 +44 151 4 878341370 +932 663 4 891251506 +385 1065 3 879445153 +816 260 3 891711579 +920 307 3 884219993 +846 47 5 883948803 +782 1513 2 891499440 +758 750 2 883518021 +761 283 4 876190160 +624 762 4 879793330 +851 875 5 884205151 +338 479 5 879438250 +553 487 5 879948996 +846 233 5 883949547 +763 738 2 878922982 +942 879 4 891282539 +896 92 1 887160296 +833 679 3 875224482 +532 917 4 892520128 +884 127 4 876858877 +911 83 4 892839784 +933 384 1 874938475 +7 50 5 891351042 +576 204 4 886986445 +452 290 2 875562903 +424 688 2 880859228 +896 282 2 887158555 +661 204 5 876017801 +663 324 2 889492019 +378 443 4 880055336 +761 263 1 876189950 +883 896 5 891691465 +908 28 4 879723073 +296 246 4 884196584 +791 302 4 879447940 +655 712 3 887474050 +894 512 5 879897489 +591 237 3 891039974 +654 367 4 887864923 +716 31 3 879794996 +938 275 4 891356350 +867 7 5 880078604 +882 177 5 879867885 +933 228 4 874854217 +804 402 3 879445441 +852 117 4 891036707 +885 815 4 885715169 +904 796 3 879735710 +886 385 3 876033293 +880 393 3 880174926 +158 285 5 880132383 +666 646 3 880139180 +860 629 3 885991198 +834 284 4 890862468 +694 481 4 875727781 +85 172 4 882813285 +864 128 4 888886882 +503 963 5 880472061 +330 25 5 876544582 +749 202 5 878847461 +161 225 1 891172322 +642 110 2 885606048 +870 127 5 875050602 +390 690 3 879693677 +661 199 5 876016726 +804 949 3 879445254 +524 131 5 884636498 +872 1040 3 888479701 +751 1035 2 889298585 +757 235 3 888444935 +908 223 4 879722953 +892 763 2 886609726 +368 164 3 889783364 +885 423 4 885714136 +566 385 3 881650825 +854 544 3 882812852 +903 64 5 891033564 +882 183 4 879864789 +417 117 4 879646484 +456 772 4 881373228 +880 161 2 880167778 +503 303 5 879438024 +537 1154 1 886032000 +840 588 4 891205321 +932 639 5 891249171 +688 302 5 884153425 +606 79 3 880927127 +709 176 4 879848432 +526 845 5 885682590 +330 228 5 876547220 +932 482 5 891250211 +716 525 3 879794815 +864 116 4 888887045 +862 845 4 879303249 +896 180 5 887158660 +401 591 3 891032607 +896 7 4 887159145 +860 26 3 885991163 +932 70 4 891249171 +758 1292 1 880672876 +56 281 2 892683611 +901 391 5 877131205 +848 163 5 887048073 +238 255 3 883576644 +621 91 3 874965299 +151 966 4 879543457 +933 476 2 874854953 +845 340 1 885409719 +156 528 4 888185906 +416 727 5 893212730 +504 449 4 887839810 +793 7 3 875104031 +896 80 2 887160938 +322 655 5 887313946 +800 476 3 887646776 +724 1434 1 883757597 +880 356 4 880242475 +592 151 4 882608402 +459 271 4 879561731 +527 1149 4 879456637 +875 921 5 876465275 +933 569 1 874938850 +682 378 3 888517986 +916 183 4 880844395 +624 508 4 879793092 +821 473 3 874792813 +551 333 5 892775584 +782 1590 3 891500028 +77 98 4 884752901 +934 1018 4 891192849 +130 752 5 888211864 +567 1298 5 882425998 +872 121 4 888479206 +537 224 3 886030109 +769 685 3 885424305 +450 423 5 882371904 +862 568 3 879304799 +727 559 2 883712282 +159 322 5 880485443 +788 665 2 880867890 +932 560 2 891252198 +102 301 3 885697464 +391 427 5 877399512 +715 98 5 875963792 +217 405 3 889069878 +387 324 4 886481002 +722 845 5 891280842 +805 38 3 881695080 +854 14 4 882812225 +710 357 4 882063649 +798 1063 3 875303502 +642 147 4 885606986 +104 407 2 888465936 +933 866 2 874938620 +655 1631 4 888685734 +782 316 4 891498436 +633 71 3 875325804 +176 181 3 886047879 +587 302 3 892870956 +790 155 3 885157061 +271 963 5 885848518 +387 173 4 886480288 +943 172 4 888638940 +602 243 3 888638277 +883 66 3 891694636 +537 131 4 886031407 +553 213 5 879949290 +788 470 3 880868042 +389 196 3 880087516 +878 739 3 880869303 +893 298 4 874827623 +344 473 4 884900248 +941 222 2 875049038 +482 249 2 887644102 +753 304 4 891399686 +854 1281 2 882812314 +305 865 3 886323563 +878 321 2 880865300 +472 143 4 875980823 +234 258 2 891033627 +521 496 2 885253668 +698 22 1 886368545 +184 212 4 889909618 +833 346 5 884828744 +762 256 3 878719448 +919 988 3 875288362 +518 742 5 876823804 +919 412 2 875289061 +914 775 3 887124121 +942 71 5 891282840 +896 172 5 887158555 +923 460 4 880388426 +773 652 3 888538950 +890 429 4 882403045 +790 1028 3 884462692 +280 364 3 891702291 +886 153 3 876031279 +880 369 1 880175503 +399 465 3 882350005 +631 294 3 888465155 +804 159 4 879445441 +833 655 2 875131810 +498 238 4 881957195 +864 69 5 888889863 +846 12 5 883947777 +892 420 2 886610267 +747 134 5 888640180 +940 50 4 885921542 +489 328 4 891366748 +326 428 5 879877283 +795 410 2 880559227 +134 338 4 891732532 +892 1124 4 886608423 +459 932 4 879563334 +883 170 3 891693139 +878 393 3 880870487 +653 145 2 880153705 +843 632 2 879447146 +727 53 1 883712851 +664 1 4 878090087 +25 7 4 885853155 +892 436 3 886610201 +712 78 4 874957207 +869 100 5 884493279 +669 252 2 892549865 +840 499 4 891209241 +350 127 5 882345502 +452 288 2 876298593 +903 824 3 891031833 +236 717 3 890117409 +851 8 4 875731776 +474 1063 5 887927728 +883 302 5 891691410 +385 100 4 879440098 +5 448 2 875720692 +913 204 4 880946539 +874 182 4 888633311 +7 357 5 892135347 +622 117 4 882590291 +798 785 3 875639553 +639 990 1 891238689 +712 228 3 874730261 +116 124 3 876453733 +933 25 2 874854589 +497 156 5 879361872 +483 173 4 884047454 +825 566 5 881101543 +513 257 4 885062519 +374 241 5 880939035 +862 823 4 879303869 +753 69 4 891401851 +405 730 1 885545975 +789 100 5 880332089 +846 495 4 883948840 +11 239 4 891904617 +851 831 5 875731105 +682 922 3 888517816 +847 740 4 878938982 +489 300 5 891366571 +932 155 3 891251869 +918 958 3 891988491 +889 156 5 880178204 +271 174 5 885848314 +776 200 4 892920381 +916 756 3 880843892 +709 226 3 879848551 +452 285 3 888492147 +298 485 3 884124993 +544 346 4 884795135 +605 546 2 879429729 +472 581 4 875981551 +342 475 5 874984233 +764 418 4 876430033 +903 156 5 891466376 +918 1 3 891987059 +826 89 5 885690526 +851 326 3 891961717 +524 501 2 884636262 +823 514 5 878438024 +773 1036 3 888539907 +462 322 5 886365773 +889 731 2 880181191 +895 1014 3 879438082 +881 504 3 876537577 +846 365 2 883950434 +862 222 5 879304196 +927 29 5 879194033 +804 1101 3 879444805 +302 266 2 879436981 +892 473 3 886611023 +351 258 5 879481386 +851 223 4 875731567 +846 580 5 883949335 +877 738 4 882678137 +919 99 4 875373945 +175 111 4 877108015 +897 498 5 879990683 +290 62 2 880473583 +314 93 1 877886221 +772 1025 3 877533820 +719 162 4 879361003 +823 588 3 878438179 +42 136 4 881107329 +416 147 5 893212730 +347 411 5 881653132 +650 363 2 891382876 +661 179 4 876014125 +850 435 4 883194859 +230 64 5 880484416 +781 135 5 879634387 +749 1034 2 878850656 +201 1166 3 884113806 +405 1027 1 885548048 +450 781 4 882398220 +886 435 3 876031459 +622 418 3 882669905 +178 873 3 886678647 +506 205 5 874874760 +711 447 4 879994656 +880 461 4 880175666 +863 302 4 889288910 +896 616 3 887160653 +851 180 5 875731605 +943 53 3 888640067 +840 504 3 891208647 +294 455 3 877819490 +910 284 3 880821969 +943 541 4 888639954 +868 1206 3 877112033 +314 1291 1 877892519 +576 1 4 886985079 +866 315 4 891221206 +707 70 3 886287376 +880 53 4 880168411 +782 1190 2 891500230 +862 257 5 879303207 +887 195 4 881380438 +741 28 3 891018339 +328 471 3 885048004 +609 948 1 886895886 +453 403 4 877562293 +782 331 3 891497854 +767 432 5 891462829 +872 334 1 888479894 +936 16 4 886832596 +856 300 4 891489386 +796 1197 3 892660955 +925 447 4 884717963 +792 405 3 877909753 +805 425 5 881698745 +747 22 3 888640099 +547 321 4 891282732 +561 639 3 885809291 +715 22 4 875963792 +647 294 3 876532501 +738 4 4 875351486 +722 405 3 891280918 +861 321 1 881274504 +725 873 4 876103794 +387 153 4 886479649 +680 1 4 876816224 +805 588 2 881695527 +887 168 4 881380067 +880 298 4 880166827 +503 381 5 880383174 +906 300 3 879434378 +787 748 4 888979606 +719 468 3 879361023 +939 15 5 880261094 +882 546 2 879863031 +405 757 1 885549095 +833 860 2 875124604 +796 525 4 892761390 +437 401 5 880143505 +847 496 4 878940954 +385 693 4 879443315 +793 181 4 875103810 +747 96 5 888639397 +6 182 4 883268776 +486 279 4 879874939 +82 212 4 878769410 +618 88 4 891309440 +10 40 4 877892438 +741 131 4 891456776 +405 341 1 885549904 +374 406 3 880936233 +871 326 5 888192971 +665 924 4 884291165 +899 427 5 884121267 +459 477 1 879562995 +668 340 4 881523737 +22 209 4 878886518 +805 1065 5 881697792 +521 183 3 884477630 +790 1016 2 884461925 +354 10 5 891216692 +429 737 4 882387505 +654 1115 3 887863779 +807 432 5 892530498 +916 268 5 880843093 +497 172 5 879310705 +598 260 3 886711034 +870 558 4 879270313 +650 1050 3 891369620 +930 282 4 879534667 +911 432 3 892839551 +632 318 5 879456843 +608 134 3 880403810 +612 202 2 875325221 +806 127 5 882386323 +770 302 2 875971568 +669 235 2 892549865 +924 12 4 885458093 +195 135 5 875771440 +835 1045 4 891034023 +801 682 5 890332775 +114 522 5 881309662 +805 942 3 881698861 +682 756 2 888521942 +778 550 4 890670638 +663 546 3 889493118 +459 926 4 879563639 +642 384 5 886131546 +13 280 4 882399528 +916 249 3 880843579 +892 755 4 886610048 +900 654 2 877833924 +620 112 4 889988341 +870 496 5 882801371 +914 381 3 887122325 +867 273 3 880078991 +886 87 4 876032473 +198 942 4 884209569 +831 156 4 891354751 +502 754 2 883701927 +599 846 5 880952229 +694 180 4 875727672 +405 658 4 885545516 +727 553 2 883710186 +751 121 4 889135401 +846 794 5 883948495 +846 376 2 883950665 +661 496 5 876015530 +921 71 4 879380957 +880 771 3 880243848 +875 652 5 876465275 +807 403 4 892979116 +922 288 2 891445064 +659 387 4 891387227 +788 520 4 880868919 +650 504 3 891369889 +934 66 4 891193187 +671 583 3 884034132 +378 550 2 880332949 +450 521 4 882394180 +63 285 3 875747470 +328 51 3 885047417 +809 319 3 891036744 +886 216 5 876031695 +911 855 5 892839084 +424 259 2 880858979 +761 9 2 876190235 +755 299 2 882569732 +479 154 3 889126007 +94 631 5 891720950 +759 127 2 875227798 +798 72 3 875638883 +664 4 4 876526152 +536 1 5 882318394 +707 275 4 880059687 +548 252 3 891043977 +619 597 4 885953850 +943 233 5 888639327 +902 275 4 879465894 +339 250 5 891033830 +793 50 5 875103942 +346 58 3 875122112 +545 385 3 879899266 +892 135 5 886608643 +843 162 2 879447625 +642 1054 3 885606482 +682 77 3 888517562 +456 204 3 881374086 +642 796 4 885605909 +539 202 5 879788405 +710 271 3 882063367 +851 9 4 875730379 +615 190 3 879447968 +835 257 3 891032738 +18 381 4 880131474 +896 801 2 887161564 +896 117 2 887159173 +766 178 4 891308968 +659 836 4 891045943 +545 395 4 879901092 +273 268 5 891292905 +486 148 2 879874903 +632 7 3 879456955 +448 874 3 891889281 +798 1003 3 875639478 +887 65 5 881381679 +391 131 2 877399455 +62 275 4 879372325 +782 1143 2 891500194 +629 276 5 880116887 +187 204 2 879465370 +878 662 1 880871600 +593 1016 4 888872636 +617 1612 1 883788511 +805 196 2 881698778 +846 173 4 883947819 +833 223 4 875038888 +878 237 3 880868955 +910 1025 2 881420507 +115 83 3 881172183 +891 866 5 883489497 +458 52 4 886398187 +932 484 5 891249586 +308 257 4 887741526 +537 676 4 886029889 +892 96 4 886608977 +537 514 4 886030583 +792 1054 1 877910666 +934 234 2 891191875 +408 242 4 889679947 +885 82 4 885715907 +864 283 5 878179514 +279 482 4 875306613 +833 401 2 875135113 +879 304 4 887760912 +698 211 2 886367066 +927 255 4 879177027 +442 871 1 883389455 +782 887 4 891498676 +660 429 4 891199833 +344 117 3 884899767 +308 66 4 887740788 +407 1160 1 890687550 +883 1404 3 891694372 +889 955 3 880179536 +843 527 3 879448138 +933 1188 1 874938474 +64 693 3 889737654 +919 331 4 875920290 +140 988 3 879013719 +840 127 4 891203366 +524 56 4 884634849 +913 60 3 880946006 +394 795 2 881059103 +916 42 5 880844958 +478 235 2 889388357 +782 333 3 891497698 +936 246 4 886832282 +410 272 4 888627138 +276 23 5 874787467 +639 714 2 891239886 +167 641 4 892738341 +279 47 4 875296375 +840 520 5 891204089 +434 411 5 886724873 +617 218 2 883789464 +749 208 5 878848044 +714 748 5 892777877 +894 117 3 880416219 +862 180 5 879305097 +896 632 2 887159261 +907 96 5 881030348 +303 831 4 879544080 +878 640 1 880867751 +934 495 4 891195604 +104 471 3 888465290 +416 1483 4 893214333 +339 94 2 891036423 +407 443 3 876341493 +496 333 3 876063848 +592 1276 1 882609057 +378 69 3 880046069 +933 652 3 874854424 +621 890 1 883799608 +870 458 1 879377028 +795 132 3 883249522 +724 264 3 883758119 +938 50 5 891356314 +798 1035 4 875638717 +201 1103 3 884140487 +387 53 4 886481737 +763 133 3 878923609 +716 142 3 879797555 +488 509 2 891294365 +748 286 3 879454107 +470 291 2 879178777 +707 173 2 886286380 +293 696 2 888905229 +848 121 4 887043266 +805 9 3 881697667 +775 887 4 891032866 +847 191 4 878940652 +528 202 5 886101846 +786 4 4 882844294 +582 271 4 882960418 +502 323 4 883702447 +666 108 3 880313929 +868 69 2 877107416 +659 467 3 891384414 +768 620 2 880136410 +76 24 2 882607536 +455 372 4 879112055 +346 395 1 875264785 +649 815 3 891440274 +271 125 3 885848062 +846 218 4 883948089 +848 421 5 887043777 +632 182 3 879457641 +699 19 4 878882667 +868 161 2 877107056 +749 621 3 878848795 +660 181 4 891197998 +286 173 4 877531407 +324 268 4 880575045 +847 8 4 878941082 +223 278 4 891549901 +788 448 2 880869355 +926 313 3 888351622 +869 127 5 884493279 +391 96 3 877399171 +798 476 2 875637822 +781 878 1 879633752 +385 514 4 879443045 +776 318 4 891628632 +888 280 3 879365475 +143 690 2 888407622 +919 260 4 875288362 +566 1028 2 881651339 +840 971 4 891209449 +870 317 4 875050723 +437 129 1 880140433 +625 705 3 891262983 +554 7 3 876549087 +793 122 3 875104532 +779 117 4 875503280 +652 748 3 882566948 +429 746 3 882386096 +710 12 4 882063648 +878 535 1 880871600 +417 121 3 879646591 +625 597 2 891273801 +932 178 5 891249821 +748 633 4 879454428 +101 1028 3 877136449 +716 227 3 879797177 +860 269 2 891535991 +630 264 2 885666353 +506 489 4 874876651 +345 215 4 884993464 +62 117 4 879372563 +848 504 3 887038397 +776 588 4 892210723 +558 137 4 879435896 +815 427 5 887978255 +586 693 3 884066060 +648 514 2 884796822 +709 1188 4 879848695 +882 194 3 879879668 +882 147 4 879863106 +805 68 3 881694886 +907 1244 5 880159381 +636 106 4 891449328 +275 419 3 880314383 +851 472 3 875730312 +875 937 4 876464830 +843 230 3 879443763 +23 451 2 874787256 +705 363 2 883427530 +167 184 1 892738278 +70 993 3 884064688 +363 39 4 891495339 +709 98 4 879846648 +938 1283 3 891357190 +840 212 4 891209159 +101 472 3 877136711 +123 294 1 879809529 +749 67 1 878850588 +659 226 4 891387194 +574 887 4 891279214 +280 216 5 891701685 +494 498 4 879541246 +883 1226 3 891914483 +683 879 3 893283997 +747 231 3 888734113 +786 286 4 882841571 +557 270 3 881179166 +880 762 4 893028813 +643 96 5 891447747 +874 676 3 888632585 +633 581 3 877212085 +833 576 3 875224603 +755 310 4 882569604 +734 22 3 891025301 +561 1294 1 891710133 +406 95 4 879793081 +916 792 3 880844569 +696 178 4 886404542 +910 300 4 881420194 +615 28 4 879448759 +426 617 3 879441978 +840 645 3 891204714 +894 902 3 890409704 +222 380 4 878184545 +773 318 4 888540484 +116 690 3 877934548 +593 284 4 875659236 +918 88 2 891988276 +622 1419 2 882672120 +577 427 4 880474715 +805 111 3 881696671 +504 548 2 887909864 +883 1131 5 891695570 +660 47 2 891200456 +543 603 5 875665787 +903 293 4 891031226 +480 208 2 891208650 +916 60 4 880844058 +862 260 5 879302583 +509 245 2 883591109 +595 986 2 886921945 +847 141 3 878941144 +607 174 3 883879516 +479 234 5 879461318 +862 195 5 879304902 +378 569 3 880056736 +881 143 5 876539128 +538 176 4 877106918 +889 279 2 880177104 +190 826 3 891626040 +638 511 3 876695478 +497 144 4 879310792 +882 191 5 879867694 +886 710 4 876031601 +709 651 4 879846705 +1 18 4 887432020 +821 95 5 874793898 +871 359 3 888192743 +577 1336 1 880472018 +804 616 3 879442984 +875 479 4 876466687 +612 243 2 875324355 +14 276 4 879119390 +393 33 3 889554648 +903 324 4 891031697 +936 535 2 886833052 +709 833 4 879848792 +929 172 4 879640329 +927 471 4 879193906 +58 730 5 884305004 +534 824 4 877808260 +561 182 3 885807318 +887 1496 4 881380996 +676 993 5 892686294 +653 585 2 880153522 +854 1047 1 882812906 +529 324 2 882535563 +880 302 5 880166451 +896 195 4 887159578 +486 307 3 879874388 +881 763 3 879052317 +301 334 3 882075500 +694 172 5 875727399 +893 845 3 874828772 +254 228 4 886472609 +894 260 2 879896268 +699 95 3 878883173 +196 110 1 881252305 +882 143 4 879876806 +682 472 3 888522699 +642 385 5 885602571 +653 118 3 878854810 +447 202 3 878856078 +94 134 5 886008885 +721 268 4 877136831 +663 326 4 889491861 +798 243 4 875295566 +804 155 3 879445660 +703 121 5 875243049 +733 1375 3 879535559 +864 186 4 888887658 +916 150 4 880843318 +389 488 5 880087260 +838 718 5 887064051 +354 744 4 891216656 +817 300 3 874815542 +117 249 4 880125911 +707 160 5 886286193 +668 895 3 890349136 +774 96 2 888557276 +698 516 2 886367809 +826 665 5 885690819 +903 7 2 891031259 +669 79 2 891260474 +487 340 1 883440613 +696 285 4 886404617 +561 284 1 885809626 +940 98 4 885921421 +911 428 4 892839929 +361 226 3 879441352 +896 662 3 887160529 +782 301 3 891498139 +837 1049 1 875722298 +881 62 4 876538666 +578 268 2 890939697 +606 713 4 878142865 +878 781 1 880871600 +885 1221 3 885714362 +821 281 3 874793218 +777 9 5 875979380 +916 159 3 880845303 +870 87 5 889717575 +892 82 3 886609149 +883 900 5 891691654 +765 151 4 880346204 +930 176 3 879535663 +777 523 4 875980235 +863 362 1 889289122 +894 971 3 882404460 +847 117 2 878775570 +690 63 3 881177804 +472 264 3 875977870 +395 318 4 883764004 +805 100 5 881695196 +468 24 3 875280462 +828 331 4 891380166 +869 298 3 884491734 +922 810 4 891450866 +551 721 5 892784898 +881 419 5 876538691 +868 67 3 877109597 +334 38 2 891550141 +303 240 3 879468513 +806 302 4 882384513 +533 208 4 879191374 +291 576 4 874835198 +924 144 3 885458093 +899 518 4 884121379 +516 582 5 891290594 +138 147 4 879023779 +568 529 4 877907877 +901 402 4 877132632 +837 472 3 875722141 +416 420 3 886318155 +388 219 5 886441083 +897 140 3 879991403 +592 315 5 885280156 +924 433 5 885458168 +593 553 2 875672852 +843 214 3 879447453 +848 689 1 887037584 +932 109 2 891251891 +502 682 5 883701927 +867 222 4 880079094 +663 176 5 889493502 +887 845 4 881378087 +897 501 5 879991566 +648 1060 2 882212373 +683 626 3 893286550 +747 202 4 888733047 +587 1625 4 892871732 +494 245 3 879540720 +921 778 3 879380704 +911 479 5 892838787 +705 566 4 883428058 +903 121 3 891031487 +632 2 4 879459505 +751 237 2 889132301 +894 116 4 880416473 +735 275 4 876698643 +374 654 3 880396622 +1 59 5 876892817 +855 171 3 879825383 +826 426 2 885690379 +189 459 4 893264595 +588 732 4 890024325 +937 222 3 876769530 +889 1 3 880177104 +883 945 4 891754985 +664 496 5 878090381 +943 816 4 888640186 +193 159 4 889124191 +919 88 2 875373621 +378 588 5 880318415 +500 122 3 883876795 +639 323 1 891238876 +863 538 2 889289122 +774 1228 1 888557556 +532 834 4 874796151 +774 72 1 888556121 +811 895 5 886377311 +374 27 4 880396444 +879 117 4 887761865 +13 522 5 882140425 +839 235 4 875752433 +871 4 3 888193338 +159 358 1 893255969 +301 62 3 882078419 +38 1032 4 892432624 +880 27 3 880167965 +504 322 4 887831274 +525 7 3 881086051 +804 230 4 879442001 +394 90 3 880889528 +782 340 3 891497963 +694 385 4 875730082 +833 264 2 878077967 +896 496 4 887158029 +840 209 4 891204418 +503 116 5 879438559 +943 97 2 888639445 +715 85 3 875964300 +749 809 3 878848673 +690 77 3 881179906 +747 185 5 888640437 +592 463 4 882956321 +810 881 4 879895350 +897 684 2 879991524 +244 188 4 880605869 +892 641 5 886607845 +405 378 4 885546379 +701 312 3 891446730 +198 151 4 884206401 +889 1139 1 880182582 +804 737 3 879444781 +1 15 5 875071608 +838 174 4 887066078 +788 651 4 880868838 +541 90 4 883866093 +896 393 3 887159464 +889 739 3 880182517 +932 524 5 891249675 +57 1 5 883698581 +931 471 3 891036506 +354 1039 4 891217249 +919 300 4 875288164 +936 1009 4 886833231 +883 210 4 891723351 +870 132 4 882123548 +435 406 3 884134810 +393 248 4 887744202 +549 24 3 881672556 +875 462 4 876465188 +916 978 1 880843949 +570 321 1 881262795 +916 863 3 880846735 +823 25 3 878438642 +901 195 5 877131118 +393 1 3 887743611 +727 17 1 883711011 +774 1090 1 888558419 +788 566 4 880869908 +758 276 2 881976574 +856 312 2 891489450 +293 315 3 888904513 +886 101 4 876032103 +643 430 5 891447403 +537 651 3 886030862 +899 173 3 884121089 +493 317 3 884132267 +342 1016 1 874984596 +803 289 3 880055309 +450 498 3 882396351 +932 222 4 891251485 +835 606 5 891033200 +911 1039 4 892838357 +880 473 3 880167132 +435 139 2 884134134 +882 135 5 879876806 +660 1615 2 891198441 +747 32 5 888639890 +913 428 3 881367151 +864 736 5 888888025 +748 847 4 879454546 +620 95 4 889988005 +894 262 4 879896141 +401 185 4 891033523 +835 160 3 891034219 +268 450 1 875745536 +305 650 4 886323406 +723 164 4 880499019 +331 132 3 877196174 +932 163 4 891251246 +884 86 3 876859208 +917 282 4 882911480 +912 28 4 875966756 +609 147 1 886895016 +833 23 5 875123427 +825 274 4 889020826 +846 134 4 883947630 +371 496 4 877487052 +526 271 3 885682124 +682 774 4 888522894 +875 288 4 876464755 +548 9 1 891043008 +758 229 3 881978057 +536 416 4 882360929 +653 619 3 880152085 +373 216 4 877100232 +932 529 4 891251153 +707 936 4 880059836 +655 1044 3 887564483 +916 196 4 880844920 +833 32 5 875123255 +790 10 1 884461988 +907 225 5 880159442 +577 588 4 880474808 +900 478 2 877833923 +279 62 3 875310303 +300 1012 4 875650329 +882 181 5 879867430 +678 332 4 879544254 +862 7 5 879304196 +363 25 3 891496337 +854 469 5 882814571 +837 125 5 875722032 +921 172 4 884673823 +456 59 4 881372779 +514 237 4 875462611 +682 367 3 888521783 +894 676 3 880416315 +847 219 4 878940618 +280 946 4 891701027 +942 316 4 891282618 +892 15 4 886608237 +911 709 5 892839846 +895 117 3 879438082 +843 446 3 879443442 +750 338 3 879445961 +903 9 3 891031309 +843 528 3 879447030 +405 954 4 885547268 +897 176 5 879990492 +878 127 4 880867444 +835 378 4 891035309 +833 184 3 875039039 +159 845 1 880557130 +442 928 3 883391299 +601 228 5 876350400 +896 153 4 887158165 +881 7 4 876536164 +751 118 2 889298074 +550 682 4 883425783 +458 531 5 886395758 +660 423 3 891199942 +707 172 2 886286134 +545 139 3 884134959 +436 928 4 887770547 +160 302 5 878078074 +773 1555 4 888540618 +776 191 5 891628837 +798 172 4 875639656 +557 305 3 881179268 +747 473 3 888640305 +393 272 4 887742006 +838 124 4 887063696 +543 9 4 876382812 +871 79 5 888193275 +518 235 4 876823597 +894 472 3 880993730 +659 121 4 891331301 +817 924 3 874815947 +532 684 5 888635197 +514 68 4 875463551 +344 100 5 886382272 +806 504 4 882388658 +567 39 3 882426974 +886 433 2 876032165 +908 183 4 879722427 +748 204 3 879454662 +454 988 2 888015879 +738 271 3 892938330 +907 268 4 885860288 +704 286 5 891397015 +749 391 3 878849149 +844 161 3 877387857 +303 238 4 879467295 +893 290 3 874829161 +561 596 2 885809958 +854 19 3 882812826 +938 291 4 891356594 +387 95 2 886483620 +203 458 3 880434336 +868 191 3 877107143 +749 200 4 878848302 +788 4 3 880868401 +521 1 2 884475825 +496 151 3 876067445 +907 182 5 880159844 +854 13 3 882812755 +699 269 4 893140697 +328 300 5 885044640 +916 7 4 880843361 +551 300 4 892775687 +2 275 5 888550939 +276 365 3 874791339 +493 208 4 884131897 +684 216 3 878761717 +749 930 3 878849558 +932 434 5 891251015 +60 592 4 883327566 +846 569 3 883949728 +484 930 3 880270596 +63 322 2 875746986 +607 950 3 883879691 +297 724 3 875238883 +650 898 3 891368914 +521 403 4 885253758 +916 111 4 880843636 +417 818 2 886186925 +885 7 3 885715889 +655 59 4 887564613 +697 254 2 882621958 +719 410 1 883354126 +940 529 3 885921669 +180 735 4 877355337 +692 762 4 876953681 +923 823 4 880388383 +181 1215 1 878963304 +846 302 5 883946861 +907 928 5 880159198 +655 427 4 891585242 +660 209 4 891406212 +814 413 2 885411749 +550 258 5 883425409 +311 428 4 884366111 +916 642 3 880845227 +907 1220 5 880159642 +625 135 5 891999874 +633 96 4 875324997 +617 674 3 883789536 +935 286 5 884471835 +620 234 3 889987560 +749 233 5 878849286 +910 357 4 880821718 +298 402 3 884183063 +745 1 2 880122809 +708 628 3 892719246 +707 865 5 886286360 +790 233 3 885157230 +299 733 3 888855244 +622 69 4 882592041 +907 123 4 880159442 +787 294 3 888979606 +889 469 4 880180414 +746 405 2 885075476 +405 89 1 885547952 +643 210 4 891448318 +908 654 3 879722822 +892 566 4 886610318 +665 313 4 884618217 +887 496 4 881379685 +885 209 2 885713502 +882 96 4 879878140 +83 944 3 880308871 +807 930 5 893082778 +601 1116 4 876350944 +928 269 5 880935738 +870 589 4 880584534 +660 163 2 891199992 +655 479 4 888474107 +619 11 2 885954019 +940 213 4 885921597 +1 111 5 889751711 +782 307 4 891497854 +650 25 3 891385826 +1 52 4 875072205 +721 319 3 877137527 +521 265 3 885253247 +503 44 5 879454841 +655 333 2 887472879 +916 597 2 880843727 +624 405 4 879792671 +588 1078 4 890026999 +880 1620 3 880167288 +374 137 2 880393511 +915 305 2 891030070 +911 211 3 892839418 +916 385 3 880844834 +878 57 4 880867987 +916 155 2 880845808 +795 412 3 883254675 +256 100 4 882150313 +833 581 1 875223813 +92 1052 2 890251841 +834 628 5 890862648 +394 1484 4 881059619 +357 825 3 878952080 +313 778 2 891028904 +942 174 5 891283209 +618 416 4 891309720 +498 180 4 881955866 +654 282 3 887863513 +835 928 3 891032899 +332 64 5 888359944 +851 303 4 890804569 +671 38 5 884035992 +279 1437 3 892173418 +881 289 1 876535544 +919 295 3 875289170 +881 215 3 876538726 +873 358 2 891392698 +937 225 2 876769436 +917 879 2 882910604 +883 1118 4 891694276 +892 765 2 886610840 +620 627 5 889988037 +379 843 4 880962285 +561 526 3 885808796 +95 294 2 884266083 +825 407 3 889021180 +671 452 4 884035173 +556 523 5 882136205 +580 25 3 884125457 +846 419 5 883948949 +530 275 5 890627396 +767 481 5 891462614 +417 141 3 879648510 +880 383 3 880243147 +588 313 5 890014782 +864 145 4 888892230 +561 11 4 885807743 +907 744 5 880159015 +447 24 3 878854520 +859 381 4 885776352 +305 45 5 886323275 +870 31 4 875680070 +592 409 1 882609056 +474 729 4 887927152 +891 121 4 883490041 +219 433 5 889403133 +940 482 5 885921198 +816 243 4 891711554 +378 412 2 880334409 +779 275 4 875992583 +429 230 2 882385985 +886 568 3 876032973 +741 255 3 891458098 +642 1425 2 885606024 +835 685 4 891032627 +916 684 3 880844395 +843 89 5 879444670 +618 1221 2 891309636 +468 91 5 875301056 +622 190 4 882669762 +933 194 4 874854135 +864 333 5 890463283 +607 855 4 883880027 +938 235 1 891357137 +526 298 4 885682528 +882 101 3 879879807 +774 174 3 888557198 +864 66 3 888889784 +385 231 2 879449309 +898 271 3 888294567 +880 409 2 880243069 +144 690 3 888103573 +903 13 5 891031632 +851 112 1 875730629 +619 849 2 885954184 +880 1093 3 880167384 +748 172 4 879454810 +924 178 5 885457922 +676 255 5 892686348 +844 930 2 877382574 +885 25 4 885713017 +886 28 4 876031413 +847 196 3 878939839 +896 450 1 887161728 +805 65 3 881698861 +919 236 5 875288681 +943 282 5 875502230 +795 81 4 883250055 +890 523 4 882403299 +639 28 4 891239239 +690 203 4 881179631 +144 137 4 888104150 +315 79 4 879821349 +904 732 3 879735584 +150 291 4 878746764 +932 100 5 891249586 +690 158 4 881177835 +881 322 4 879051511 +795 62 4 883254564 +913 461 4 881725816 +200 239 3 884129602 +417 158 2 879649389 +537 463 3 886030738 +902 289 3 879463433 +588 821 4 890026339 +826 720 3 885690819 +22 526 4 878888026 +721 329 3 877137214 +627 56 2 879531248 +587 321 2 892871113 +456 94 3 881375482 +715 125 3 875962477 +548 405 4 891415643 +160 250 4 876768106 +773 343 1 888538175 +854 696 2 882812961 +42 735 4 881108548 +671 121 4 875389187 +537 890 1 886029526 +868 158 1 877111328 +462 328 5 886365773 +943 614 5 888639351 +614 121 4 879464398 +609 313 5 886894637 +291 405 4 874805984 +708 678 2 892719007 +846 380 3 883949380 +907 1167 5 880160106 +894 298 3 879896673 +908 194 3 879722932 +933 229 1 874939078 +726 1 4 890079166 +933 89 4 874853957 +301 721 3 882076494 +655 975 3 887426446 +590 298 2 879438911 +712 451 5 874956872 +940 301 3 884800988 +381 142 3 892697337 +844 549 3 877387280 +655 378 1 887430410 +642 1091 4 885606608 +450 140 3 882376585 +904 747 4 879735584 +694 506 4 875727270 +416 387 3 886319288 +506 135 5 874873157 +541 304 4 883864207 +125 67 5 892838865 +843 300 3 879442947 +916 153 3 880844087 +655 448 4 888474934 +552 1362 3 879222698 +157 244 5 886890406 +745 275 1 880123905 +69 222 3 882072956 +924 288 3 886065748 +246 433 5 884921488 +907 1157 5 885862211 +663 975 4 889492720 +276 33 4 874792018 +870 569 2 879714631 +670 521 4 877975344 +865 99 1 880235060 +795 564 1 883774317 +292 203 4 881105442 +833 664 3 875124225 +492 172 3 879969415 +924 114 3 886327724 +106 70 3 881452355 +537 806 3 886031074 +645 177 4 892053274 +567 197 5 882425901 +157 235 5 874813703 +145 96 5 882181728 +405 69 4 885545111 +884 949 2 876860604 +582 676 2 882961133 +659 357 4 891331959 +871 286 3 888193136 +891 476 5 883489605 +716 283 4 879793294 +893 125 3 874828864 +495 969 4 888632443 +534 300 4 877807486 +782 261 2 891498865 +916 948 2 880843838 +233 9 5 876021262 +758 328 1 880672321 +60 483 5 883326497 +116 270 3 879864042 +870 461 4 875680099 +825 16 3 889020779 +889 1065 4 880180817 +855 59 3 879825488 +798 746 4 875914066 +265 1016 3 875320462 +783 880 4 884326545 +247 100 3 893081395 +642 779 3 885843177 +756 97 3 874829484 +699 1010 3 878882563 +835 465 3 891033957 +907 1048 5 880159404 +868 732 3 877107416 +804 96 5 879441677 +882 393 4 879880132 +495 233 4 888633594 +452 76 4 875562410 +548 683 4 891042954 +305 961 3 886323440 +269 479 4 891448980 +588 463 4 890023879 +802 665 4 875985469 +382 1268 5 875947296 +801 355 3 890332929 +566 108 2 881651360 +843 239 3 879447670 +701 292 4 891446754 +349 696 3 879465934 +416 255 5 893214041 +913 191 5 881725737 +758 506 3 881975061 +883 512 5 891693058 +721 380 5 877138661 +269 697 4 891447931 +757 148 4 888444948 +478 232 2 889396180 +632 475 3 879457582 +625 50 5 891273543 +943 151 4 888692699 +896 493 5 887157978 +938 222 5 891356479 +385 197 4 879442360 +445 1067 1 891200390 +863 886 3 889289327 +589 336 1 883352535 +318 208 4 884495664 +24 1007 5 875322758 +158 290 4 880135160 +450 151 5 882376658 +868 631 4 877111453 +910 50 5 880822060 +854 180 4 882813537 +663 1161 3 889493069 +280 379 5 891702171 +503 283 5 879438258 +897 418 4 879991282 +721 125 3 877147080 +881 176 4 876537679 +886 184 4 876031309 +806 174 5 882387870 +848 141 4 887040159 +880 1041 4 880175128 +476 70 3 883364680 +864 367 5 888890316 +894 935 3 879896815 +872 282 5 888479253 +933 53 1 874855104 +814 288 4 885410789 +941 358 2 875048581 +313 357 5 891013773 +719 509 2 879360933 +49 477 2 888067727 +761 402 3 876189829 +871 342 4 888192475 +624 410 4 879793156 +695 887 3 888805797 +622 154 4 882669740 +709 288 5 879847945 +892 168 4 886607778 +855 512 4 879825382 +23 642 3 874785843 +747 63 3 888733510 +373 229 4 877104048 +870 657 5 875050748 +741 1041 4 891457424 +885 100 3 885712944 +453 90 3 877561942 +239 382 3 889180578 +916 286 4 880843062 +535 429 3 879618569 +913 228 5 881368310 +880 177 5 880167778 +189 568 4 893266205 +328 385 3 885046027 +507 754 5 889964121 +880 230 3 880167732 +763 1039 4 878923513 +760 255 3 875666375 +598 243 2 886711192 +216 189 3 880244972 +882 131 4 879876573 +664 522 3 876525998 +559 259 3 891035407 +932 174 4 891250017 +645 23 5 892054364 +734 282 4 891025974 +559 261 3 891035378 +770 100 5 875971949 +805 127 3 879971215 +334 218 3 891548317 +18 28 3 880129527 +747 94 4 888733537 +561 737 3 885810706 +934 209 1 891190695 +900 100 4 877832904 +897 181 3 879990622 +847 568 4 878941442 +697 260 3 882621651 +178 328 3 882823416 +881 255 3 876536332 +466 7 4 890284819 +878 154 3 880866369 +878 1149 4 880868820 +563 167 4 880506771 +189 170 4 893265380 +655 515 4 887425458 +374 546 5 880936389 +423 887 5 891394673 +268 239 3 875310491 +643 527 3 891448502 +582 508 4 882961082 +614 286 2 879464507 +393 392 4 889555225 +58 223 5 884305150 +922 77 4 891447833 +757 470 3 888467016 +932 517 5 891250643 +899 71 4 884121424 +864 157 4 888886984 +561 478 4 885807290 +698 945 2 886367100 +207 129 3 877751037 +916 218 3 880845303 +825 456 3 889021287 +927 168 4 879193383 +642 581 2 886569209 +702 380 4 885767774 +787 879 4 888979721 +391 435 5 877399100 +665 1028 4 884291133 +487 94 3 884050838 +886 56 4 876031365 +864 1248 3 888891628 +693 211 2 875484789 +635 877 3 878878901 +833 38 1 879818760 +904 682 4 879735158 +653 198 4 880151426 +537 195 3 886031407 +261 300 5 890454310 +910 12 4 880821718 +429 697 3 882385858 +615 286 4 879447500 +537 483 4 886030583 +796 294 3 892611979 +903 421 3 891380488 +782 1173 2 891500230 +573 237 4 885843527 +892 378 4 886610137 +32 181 4 883717628 +513 258 4 885062286 +832 288 3 888259984 +758 209 5 881975118 +18 56 5 880129454 +939 717 4 880261784 +607 100 4 883879316 +85 745 3 879829021 +896 720 1 887235026 +751 21 5 889298093 +842 749 4 891218060 +479 498 5 879461179 +902 144 5 879465894 +708 117 4 877325236 +932 636 3 891251063 +119 492 5 874781198 +223 819 3 891550404 +769 237 3 885423954 +451 887 1 879012858 +878 97 3 880869090 +906 405 3 879435551 +653 318 4 878854383 +343 583 4 876407202 +826 177 5 885690676 +727 163 4 883711550 +578 313 5 887229355 +514 98 5 875309473 +488 223 4 891294158 +711 167 2 879995146 +568 523 3 877907877 +409 499 3 881168631 +627 17 2 879531397 +593 88 4 875672874 +813 304 1 883752380 +902 191 5 879465583 +95 194 5 879197603 +672 301 4 879787500 +757 405 4 888444583 +894 50 4 880416008 +328 71 4 885048004 +489 307 4 891363191 +682 550 2 888522541 +269 108 5 891457067 +878 1041 1 880871600 +227 756 3 879035658 +126 310 2 887854652 +892 72 4 886609939 +620 50 4 889988121 +903 272 4 892493587 +666 651 5 880139149 +577 1035 3 880475130 +707 506 2 886286742 +846 67 4 883950252 +882 202 4 879876806 +893 235 3 874829035 +456 214 4 881374586 +638 4 4 876695108 +653 333 5 878853678 +840 187 3 891205222 +90 942 4 891385165 +930 286 3 879533975 +833 1187 5 875035850 +426 489 5 879441978 +486 293 3 879874545 +293 411 2 888905170 +378 399 3 880333598 +545 227 4 879899380 +198 96 4 884208326 +870 428 4 875050672 +899 66 4 884122087 +805 234 5 881695244 +59 969 3 888204802 +793 237 3 875103842 +790 22 5 885155540 +824 748 1 877021077 +110 739 4 886988937 +305 222 2 886323378 +864 226 3 888889601 +747 608 4 888640475 +802 264 4 875986155 +622 1411 4 882671664 +500 161 2 883877001 +468 5 3 875287686 +648 763 2 882212200 +592 512 5 882956803 +429 241 3 882385934 +746 229 2 885075399 +851 1095 3 875731105 +870 55 3 879713899 +786 211 4 882843500 +835 405 3 891032793 +878 59 3 880866054 +659 210 5 891383889 +907 686 4 880159778 +733 762 4 879535847 +773 189 5 888539232 +693 504 5 875483302 +854 42 4 882813990 +934 1311 1 891195713 +733 245 3 879544466 +846 161 4 883948534 +796 248 3 892660465 +595 100 4 886921112 +542 64 4 886533421 +846 211 2 883948089 +494 204 5 879541298 +345 318 5 884916354 +737 258 5 884315127 +276 1232 3 874791488 +923 1011 4 880388097 +486 294 2 879874187 +532 229 5 892859148 +663 64 5 889493502 +311 79 4 884364623 +533 64 5 882902988 +903 157 4 891033430 +330 143 5 876546470 +393 1197 3 887743611 +924 482 4 885457858 +887 180 4 881380177 +910 313 4 884229092 +537 56 5 886030652 +653 237 2 878855365 +798 140 4 876175467 +320 358 4 884748485 +916 31 3 880844789 +883 273 4 892557850 +503 83 5 880383098 +478 869 2 889396102 +592 198 5 882956241 +613 1157 2 891227204 +207 177 3 891759050 +200 1028 2 884128176 +844 82 3 877387857 +504 667 3 887911808 +395 1060 2 886481149 +924 275 4 889286721 +397 474 5 882839559 +436 1489 2 887770731 +843 392 2 879447377 +217 11 4 889069741 +786 275 4 882841772 +710 301 3 882063407 +834 286 4 890860566 +862 99 4 879305097 +925 217 2 884718100 +537 325 1 886029153 +475 539 3 891451693 +868 503 3 877106421 +612 476 3 875324947 +805 140 3 881705892 +862 930 5 879303843 +734 162 3 891025393 +841 315 4 889066780 +622 1230 1 882672922 +806 628 3 882385309 +526 125 2 885682657 +746 233 4 885075399 +870 246 3 881000751 +541 924 5 883865133 +887 432 5 881379988 +401 429 3 891032847 +804 412 2 879445955 +505 951 3 889334067 +896 77 4 887160270 +85 482 4 879454304 +618 265 4 891307289 +487 426 3 884025034 +10 12 5 877886911 +30 69 5 885941156 +881 28 5 876537612 +652 328 4 882567058 +648 740 4 882211301 +932 675 4 891249538 +424 304 4 880858861 +738 91 4 875351462 +733 244 2 879535886 +836 750 3 885753475 +637 328 4 882900888 +916 1074 3 880844985 +942 272 5 891282420 +773 212 2 888538980 +406 502 1 880131642 +861 462 4 881274698 +932 603 5 891249877 +30 319 4 875060217 +580 829 2 884126077 +276 284 4 874786605 +500 367 3 883875835 +747 1015 4 888640046 +562 88 5 879196680 +916 820 2 880843636 +899 740 5 884120077 +583 286 4 879384052 +348 369 3 886523758 +711 408 5 886030557 +222 333 5 877562819 +468 124 5 875280331 +723 988 1 880499254 +934 211 4 891194661 +854 826 2 882813453 +754 127 4 879451420 +87 396 1 879877280 +95 392 3 880571428 +663 282 3 889492759 +795 431 4 883253193 +878 216 4 880869135 +271 427 5 885848518 +131 536 5 883681723 +711 958 5 876278721 +918 430 1 891987205 +935 274 5 884472352 +896 101 3 887160070 +766 514 4 891308927 +393 143 5 889554930 +851 456 2 875730719 +805 162 2 881698069 +727 111 3 883709266 +840 644 4 891204592 +825 106 4 880756504 +790 259 2 884461023 +577 1147 4 880474394 +671 2 4 884035892 +757 568 4 888466490 +592 762 5 882608402 +486 473 3 879875188 +831 208 2 891354612 +663 685 4 889492917 +894 9 4 880416039 +442 986 1 883391377 +100 346 3 891375630 +766 503 3 891309329 +709 825 2 879848744 +268 363 1 875744228 +642 121 5 885842289 +698 132 4 886367066 +435 432 3 884132968 +913 423 3 881368310 +566 660 4 881650172 +671 7 5 875388719 +543 66 3 874866535 +776 1172 2 892051948 +700 56 3 884493899 +782 1665 2 891500194 +830 418 3 891561540 +682 143 3 888523115 +796 385 5 893048342 +864 403 5 888887944 +928 114 5 880936742 +4 301 5 892002353 +387 676 1 886480733 +1 88 4 878542791 +826 1110 4 885690900 +610 66 3 888704000 +830 732 5 891464415 +614 237 2 879464216 +942 662 4 891283517 +883 382 3 891693200 +406 674 4 879792897 +271 176 3 885848640 +552 619 3 879222632 +838 750 4 887060879 +709 118 5 879848824 +751 90 3 889298528 +698 640 2 886367849 +655 164 2 887430072 +352 210 3 884290328 +807 757 4 892528374 +901 50 4 877126576 +886 1421 2 876034174 +851 193 4 875731722 +928 173 4 880936863 +617 1187 3 883788900 +883 52 3 891693169 +109 250 2 880563471 +851 248 4 875730379 +363 28 4 891495339 +798 50 5 875295810 +634 147 2 875729749 +405 1069 1 885546154 +867 1 4 880078521 +896 328 1 887235731 +860 216 4 885990901 +747 274 4 888733348 +927 154 3 879184534 +868 154 3 877107539 +744 174 4 881171421 +477 275 5 875941763 +693 382 4 875482689 +751 213 5 889132808 +486 222 3 879874939 +830 87 4 891462594 +810 678 4 879895453 +195 242 4 879141989 +659 609 4 891385769 +835 285 4 891032792 +567 59 5 882425762 +618 24 2 891308515 +622 7 5 882590269 +182 15 4 885612967 +843 194 2 879445590 +919 1014 4 875289384 +881 588 3 876538027 +360 175 3 880355888 +766 65 4 891309810 +633 148 1 875326138 +840 81 4 891204948 +922 252 2 891455230 +119 655 5 874781628 +883 1171 5 891695570 +867 182 4 880078521 +398 185 5 875717638 +406 185 5 879792811 +897 141 4 879991403 +126 303 3 887854825 +862 188 5 879305312 +903 214 4 891033781 +455 1167 4 879111123 +796 1415 3 893219254 +682 144 3 888522418 +413 321 3 879969259 +119 93 4 874775262 +151 531 3 879524738 +921 392 4 884673868 +640 161 4 874778479 +709 155 2 879849185 +195 841 2 891841129 +109 28 3 880572721 +902 328 3 879463212 +879 1047 2 887761477 +881 620 2 879052198 +893 597 4 874829230 +586 763 4 884067105 +184 197 4 889908873 +70 1 4 884065277 +583 655 5 879384471 +878 98 4 880866848 +871 289 3 888192475 +318 423 5 884495561 +936 1016 3 886832966 +293 117 3 888904696 +624 126 4 879792395 +796 300 4 892611903 +911 506 3 892839518 +296 514 5 884199624 +894 1281 3 885428159 +583 100 5 879384404 +691 692 5 875543153 +892 826 2 886610523 +852 826 3 891037806 +604 567 5 883668352 +647 196 4 876537620 +394 176 5 881130008 +628 984 5 880776981 +733 276 5 879535299 +939 283 5 880261291 +839 106 2 875752317 +877 173 4 882677865 +696 899 3 886403673 +903 12 5 891033334 +372 264 4 876869330 +506 199 4 874874109 +870 699 3 879901671 +894 331 4 881625708 +889 188 5 880181317 +645 746 4 892054683 +823 866 2 878438179 +435 946 2 884132072 +608 509 1 880403855 +921 1317 2 879380981 +886 399 3 876034041 +807 229 4 892530752 +738 117 3 875350913 +918 165 4 891986998 +642 1037 2 885605866 +884 923 3 876859109 +902 204 3 879465952 +527 433 4 879456464 +883 414 3 891694431 +906 124 4 879435212 +916 748 2 880843249 +757 472 3 888445086 +921 763 3 879380258 +738 269 2 892938254 +923 307 4 880386897 +463 1007 3 877387935 +807 421 3 892529805 +757 252 3 888444827 +564 924 3 888730534 +815 179 2 878694228 +439 268 4 882892424 +870 631 2 882123130 +894 1150 4 882404137 +784 332 4 891387812 +825 1008 1 889020680 +486 328 2 879873973 +870 945 4 879714039 +618 233 3 891309471 +399 356 3 882344512 +644 276 4 889077344 +655 1090 3 887430855 +492 478 2 879969583 +853 334 3 879364744 +715 367 3 875964272 +567 523 3 882425966 +782 1243 3 891498558 +864 159 4 888891049 +694 484 4 875726707 +943 824 4 875502483 +879 292 4 887760823 +847 480 3 878940039 +757 825 3 888444865 +79 285 5 891271652 +655 1248 3 887473879 +316 223 4 880853849 +929 127 5 878402162 +342 153 4 874984261 +885 735 3 885714764 +631 323 2 888465216 +646 259 3 888528978 +798 755 3 875638627 +794 455 4 891034986 +788 742 3 880869508 +704 506 4 891397712 +414 433 5 884999394 +892 180 5 886609622 +887 491 2 881379566 +488 127 4 891294606 +319 350 3 889816233 +430 123 2 877225965 +773 732 3 888539492 +649 127 5 891440356 +797 327 2 879438992 +588 716 5 890028167 +41 156 4 890687304 +901 739 5 877132671 +807 720 4 893080801 +419 1 4 879435590 +785 496 4 879438810 +535 300 3 879617199 +932 191 4 891249620 +897 196 3 879991258 +852 121 4 891036901 +363 230 2 891497440 +795 21 3 880557953 +599 1048 2 880952357 +844 588 4 877388040 +281 300 4 881200643 +830 424 1 891560972 +845 896 3 885409374 +142 268 5 888639837 +927 768 4 879195972 +537 79 3 886032123 +505 95 4 889333313 +412 195 4 879717621 +936 815 3 886833571 +864 223 5 888887097 +916 678 2 880843249 +912 479 4 875966107 +373 231 3 877104976 +936 300 3 886831501 +655 197 3 887426864 +299 399 2 889503373 +881 393 4 876539091 +894 289 2 879896109 +885 953 3 885714531 +720 896 5 891262669 +342 42 3 875319659 +350 1039 4 882345975 +16 943 3 877719206 +612 100 4 875324790 +321 942 3 879440954 +655 447 4 888813372 +919 750 3 885059452 +807 398 3 893082268 +279 231 2 879573060 +940 629 3 885921800 +306 257 4 876504354 +882 196 4 879867263 +451 873 5 879012684 +636 272 5 891448155 +896 928 3 887161033 +724 906 1 883757468 +802 201 4 875985601 +629 732 5 880117430 +833 273 3 875035954 +92 169 5 875653121 +916 549 3 880845543 +332 50 5 887916675 +870 653 4 875050559 +896 482 3 887158359 +271 43 3 885849817 +504 155 3 887912634 +805 729 3 881699728 +774 181 3 888557236 +537 603 4 886030622 +712 1074 3 874957086 +758 715 4 881977057 +870 191 3 881001249 +638 187 2 876694704 +914 781 5 887123464 +894 113 4 882404484 +749 143 4 878847926 +927 121 5 879199250 +924 172 4 885458060 +894 678 3 879896268 +520 990 4 885168906 +655 1136 2 887427568 +722 328 5 891280272 +406 367 4 880131929 +757 82 4 888466490 +916 198 4 880844463 +223 28 4 891550684 +732 294 3 882590201 +882 290 4 879862217 +269 268 5 891446132 +871 651 2 888193337 +399 1042 3 882348283 +345 40 3 884993662 +621 118 3 880738353 +655 639 3 887473803 +339 229 3 891035584 +715 145 2 875963657 +593 496 5 875671198 +911 209 5 892839784 +864 591 4 878179608 +385 204 1 879441728 +766 606 3 891309011 +456 217 3 881374883 +455 581 3 879111763 +62 747 3 879375247 +697 271 4 882621460 +896 679 3 887160813 +733 281 2 879536567 +868 566 1 877111394 +693 185 5 875483301 +930 255 3 879534667 +733 250 1 879535502 +63 993 2 875747635 +277 1012 3 879543454 +796 79 5 892661988 +726 294 5 889828701 +823 735 4 878438754 +766 172 3 891309052 +940 382 3 885921953 +894 1194 5 879897235 +263 181 4 891299448 +864 318 5 888887071 +621 3 5 881444887 +724 294 4 883757726 +553 187 5 879948609 +453 652 3 877554443 +885 174 5 885715780 +634 866 3 875729668 +655 1549 2 891585574 +344 258 3 884814359 +701 19 5 891447164 +394 294 4 880886919 +38 162 5 892431727 +892 233 5 886610049 +697 252 1 882621940 +916 380 2 880845206 +913 346 3 883110406 +592 813 4 882607955 +943 100 5 875501725 +92 418 3 875653769 +680 517 4 876816162 +845 308 4 885409493 +592 735 5 882956158 +758 922 5 881980034 +618 95 3 891309319 +75 222 5 884050194 +924 318 5 885458060 +354 887 4 891180527 +934 533 3 891189640 +6 8 4 883600657 +881 105 3 876537285 +922 715 3 891452354 +887 465 5 881381307 +931 293 4 891036604 +650 203 3 891369924 +592 287 3 882608457 +773 11 2 888539963 +897 118 5 879993275 +899 229 2 884122254 +851 820 3 875730947 +524 58 4 884635031 +314 1225 3 877891575 +405 1429 1 885549903 +578 751 3 887229503 +749 941 5 878849877 +786 174 4 882844294 +136 257 3 882693234 +442 164 2 883390083 +575 603 5 878148012 +684 73 4 878762087 +897 496 5 879994113 +340 196 4 884990861 +936 346 4 886831445 +773 23 5 888540507 +929 284 2 878402162 +727 810 2 883712652 +903 664 4 891033755 +222 685 4 881061165 +897 281 4 879993553 +911 154 4 892839492 +442 441 3 883390083 +276 636 4 874792483 +773 720 1 888540218 +916 746 3 880844262 +903 346 3 891380391 +693 611 4 875484406 +862 250 5 879303158 +347 713 3 881652568 +682 346 2 888518320 +57 257 5 883698580 +940 204 4 885922015 +782 321 2 891498381 +218 657 5 881288265 +789 741 5 880332148 +495 208 5 888632134 +910 98 4 881421309 +664 183 3 876526462 +828 906 3 891034148 +301 755 4 882078308 +682 235 1 888521833 +936 898 1 886831535 +932 528 5 891249962 +788 29 3 880871240 +680 24 4 877075214 +625 97 4 891263057 +826 79 4 885690526 +397 529 4 885350326 +642 926 5 885605454 +932 357 5 891280138 +814 669 3 885411204 +727 144 4 883710395 +940 12 4 885921979 +803 259 2 880054971 +934 550 4 891193097 +545 188 2 879899233 +882 412 1 879863735 +908 494 3 879723046 +927 928 4 879183019 +921 678 5 879379447 +458 969 4 886395899 +620 420 3 889988005 +943 202 2 888639170 +123 1269 2 879872867 +698 385 4 886367366 +499 205 5 885599413 +336 393 3 877756618 +851 895 3 886534529 +889 128 5 880180897 +911 172 4 892838636 +523 1472 5 883701124 +294 293 4 877819897 +786 451 2 882844171 +716 419 5 879794775 +781 56 3 879633919 +749 66 3 878849433 +470 277 4 879178593 +848 512 5 887040025 +868 433 4 877103195 +447 952 4 878854315 +271 315 4 885847170 +894 109 1 880416219 +666 493 5 880139252 +906 9 4 879434846 +894 313 4 883518874 +782 1014 2 891499611 +678 14 3 879544815 +529 307 5 882534996 +592 237 4 882608061 +175 566 3 877108015 +907 1051 5 880159530 +831 1119 3 891354751 +566 143 3 881650502 +551 1051 4 892784593 +10 286 4 877886162 +605 930 2 879429706 +479 338 1 887064372 +416 470 4 878880154 +758 509 5 881975213 +926 321 3 888636202 +160 9 3 876767023 +773 568 1 888540091 +942 99 5 891282880 +626 270 2 878771355 +905 345 4 884983089 +658 201 3 875147873 +637 1284 1 882905070 +421 173 1 892241319 +922 1 5 891448551 +943 426 4 888640027 +748 213 3 879455454 +26 471 2 891371676 +592 985 4 882608698 +693 230 2 875483381 +316 323 1 880853152 +18 83 5 880129877 +10 179 5 877889004 +314 69 5 877888212 +908 591 4 879722996 +805 403 4 881694886 +806 265 4 882388328 +742 24 3 881335248 +790 121 3 884461657 +682 82 4 888522541 +883 805 4 891723323 +495 9 5 888632069 +471 627 1 889827881 +833 174 2 875038529 +892 215 4 886608743 +168 1028 2 884287846 +699 1643 3 879147169 +916 476 2 880843775 +393 367 3 889730187 +833 1149 4 875123677 +860 100 4 885991075 +788 510 5 880867933 +843 495 3 879447170 +186 77 5 879023694 +934 153 5 891225716 +389 579 1 881384611 +328 56 4 885045993 +911 142 4 892840950 +654 751 3 887863034 +896 147 2 887159464 +727 1206 2 883712315 +632 258 4 879459777 +911 216 4 892839929 +189 1154 3 893265380 +807 510 5 892529401 +7 607 3 891352831 +596 289 3 883539079 +537 381 3 886031678 +885 94 2 885713833 +495 1263 4 888636062 +617 1316 1 883788511 +781 50 5 879634362 +874 100 4 888632411 +828 170 3 891037231 +795 1095 3 883767108 +279 17 4 875306552 +913 11 4 881037106 +711 70 5 879993824 +808 875 4 883949915 +878 152 4 880870854 +921 151 3 879379994 +875 28 4 876465408 +799 127 4 879254026 +884 146 3 876858877 +773 32 4 888540467 +715 68 4 875963486 +823 156 5 878438403 +851 824 4 874767550 +616 292 4 891224448 +659 186 3 891385197 +247 181 4 893081396 +913 164 2 880826620 +815 472 1 878692826 +851 1059 3 875730533 +249 1167 4 879572284 +897 673 5 879990744 +627 148 3 879530463 +879 751 2 887760879 +441 100 3 891035441 +756 275 3 874827103 +642 220 4 887663380 +711 317 4 879993173 +684 732 4 878761717 +752 1527 1 891208077 +727 940 2 883713521 +561 1021 4 885807962 +455 385 3 879111907 +907 19 5 880158730 +854 1011 2 882813047 +717 240 2 884642868 +450 756 3 882398940 +532 1483 4 891909911 +653 840 4 878854737 +624 689 3 891961187 +882 66 4 879867980 +829 151 4 891990672 +860 1059 1 891536049 +156 77 2 888185906 +859 458 3 885775382 +632 210 5 879459738 +851 410 4 875730379 +624 255 3 879793435 +405 313 4 885544635 +880 209 3 880174623 +588 370 5 890031141 +851 845 3 874767408 +685 882 3 879451401 +862 61 5 879304244 +843 215 2 879447214 +426 671 4 879444170 +877 241 4 882678194 +896 1098 3 887159146 +874 125 3 888632585 +854 493 5 882813933 +790 1118 3 885156046 +488 288 2 891292682 +853 690 2 879364744 +661 652 2 888300680 +748 197 3 879454630 +503 475 2 879438319 +912 474 3 875965906 +705 526 3 883428028 +933 127 5 874853898 +889 411 2 880177541 +838 568 4 887067309 +847 578 3 878940805 +879 125 5 887761174 +436 273 4 887769233 +864 169 5 888887402 +829 1121 4 883149815 +416 223 5 893212572 +871 955 3 888193541 +193 333 1 889123039 +821 148 3 874792650 +805 739 1 881697013 +185 239 3 883524206 +373 735 5 877099137 +704 210 4 891397112 +862 640 3 879305351 +43 226 3 883956442 +875 269 4 876464694 +890 452 2 882404723 +746 176 5 885075243 +145 869 4 875272926 +606 472 4 880921408 +194 550 3 879524504 +142 338 2 888640199 +370 173 3 879434707 +854 83 4 882813691 +306 289 3 876503793 +881 200 2 876538185 +881 728 3 876539129 +664 174 5 878092802 +875 707 4 876464967 +605 526 5 879426371 +81 210 4 876534704 +606 527 4 880924790 +588 21 5 890015791 +661 566 4 876015688 +270 1007 5 876954036 +561 692 1 885810084 +708 819 3 877325349 +181 299 1 878961749 +713 272 4 888881939 +801 343 4 890332986 +798 584 3 876176071 +621 108 3 881445012 +851 23 4 875806721 +886 772 1 876031973 +863 272 5 889288910 +186 405 3 879023677 +747 192 5 888639014 +894 60 5 882404363 +936 24 4 886832904 +868 747 2 877109566 +768 255 4 888798611 +73 246 3 888792938 +701 127 4 891447139 +896 735 3 887159262 +868 1037 1 877113481 +766 198 4 891310210 +206 1233 1 888180018 +805 432 5 881695527 +120 118 2 889490979 +807 208 4 892528646 +669 483 3 892550196 +7 86 4 891350810 +432 313 4 889415763 +889 746 4 880179893 +916 399 3 880845135 +738 216 3 875352679 +795 919 4 880557617 +882 465 3 879876573 +728 286 3 879442532 +851 676 3 875729887 +452 77 3 875562997 +42 411 4 881106317 +862 135 5 879304762 +807 659 4 892977077 +555 1013 4 879962642 +776 89 5 891628708 +690 89 2 881179505 +847 13 3 878938897 +757 174 5 888445637 +805 946 2 881695591 +804 496 5 879441973 +936 324 5 886831576 +881 136 4 876538537 +763 26 4 878919055 +907 173 4 880160140 +933 232 1 874938354 +592 458 3 882608107 +715 1016 4 875962049 +630 472 3 885667391 +574 1022 2 891278916 +862 89 5 879304526 +368 441 3 889783617 +589 690 4 883352600 +877 202 4 882677936 +429 739 3 882387140 +379 707 5 880525926 +753 173 5 891401757 +854 421 3 882814028 +864 474 4 888889863 +624 879 3 879792171 +561 201 3 885807291 +396 974 4 884646152 +714 924 3 892777408 +637 619 2 882903914 +780 28 5 891363618 +940 209 4 885921800 +892 1118 3 886609939 +655 944 3 891585504 +779 125 4 875996809 +429 651 4 882384772 +145 11 5 875273120 +326 1126 2 879875243 +798 554 2 875638884 +259 546 3 883372151 +869 1163 2 884492238 +442 239 3 883388401 +796 36 1 893047967 +896 1249 2 887161518 +559 22 1 891034003 +629 56 5 880117430 +450 1112 3 882396352 +217 684 5 889069782 +622 231 4 882592735 +690 53 2 881180005 +632 1028 2 879459649 +23 449 2 874787083 +460 9 3 882912150 +591 710 3 891031603 +716 826 2 879794410 +934 162 3 891191546 +618 174 5 891307539 +859 763 4 885775699 +882 568 5 879865629 +943 399 1 888639886 +902 95 4 879465834 +927 132 2 879194268 +425 403 4 878738548 +708 981 3 892719304 +889 98 4 880177857 +378 577 2 880333995 +894 990 3 879896268 +784 690 4 891387249 +645 521 4 892054990 +887 127 3 881377854 +897 188 5 879991493 +788 748 3 880867855 +666 707 5 880314103 +92 239 4 875654125 +887 928 5 881378620 +715 182 5 875965035 +62 285 4 879372455 +758 210 4 882053302 +438 619 4 879868159 +921 128 1 879381287 +830 222 3 891561065 +763 692 2 878915958 +830 451 4 892503035 +861 45 5 881274698 +328 258 5 885044482 +788 658 3 880869862 +429 540 3 882386916 +851 435 4 875731225 +653 172 3 878854051 +854 471 2 882812928 +695 312 3 888806193 +257 1010 4 882050150 +640 301 2 886353820 +591 85 3 891031500 +758 350 4 885016523 +488 132 3 891294108 +938 928 5 891356656 +141 294 4 884584247 +776 510 5 891628708 +817 294 4 874815593 +889 493 3 880178313 +886 63 3 876033015 +301 183 3 882076291 +389 87 5 879991330 +854 357 4 882814235 +802 200 4 875985686 +437 202 5 881001715 +796 550 3 893048562 +8 358 2 879361732 +787 359 3 888979547 +363 789 4 891494962 +711 582 5 879993605 +145 926 3 875271094 +865 547 5 880143232 +813 750 4 883752264 +95 679 2 879196513 +38 1029 1 892434626 +330 117 5 876544654 +532 311 2 885415471 +178 174 5 882826719 +892 7 4 886608473 +315 202 3 879821037 +430 151 4 877225516 +797 298 3 879439362 +940 1167 4 885921198 +334 290 3 891544997 +437 215 3 880140325 +742 127 5 881335361 +707 482 3 886286032 +922 29 3 891450805 +497 449 2 879310966 +561 1115 3 885809146 +644 546 4 889076875 +833 578 1 875224603 +880 541 2 880167918 +650 208 5 891371090 +881 43 3 876539595 +903 106 2 891031883 +591 712 3 891040366 +642 4 3 885605768 +936 25 4 886833231 +147 286 5 885594040 +495 1207 5 888637300 +465 275 4 883530521 +874 313 3 888632098 +698 228 3 886367442 +916 180 5 880844753 +910 307 2 880821815 +165 202 4 879525855 +34 898 5 888602842 +938 121 5 891356895 +327 875 4 887743600 +497 388 4 879363253 +805 679 4 881694854 +848 23 2 887040025 +652 879 3 882566924 +455 79 4 879112377 +896 62 2 887161488 +38 1037 4 892434283 +374 196 1 880395426 +743 9 5 881278061 +881 96 3 876537718 +658 530 4 875147995 +650 191 4 891381546 +405 1101 3 885546287 +835 200 4 891033927 +312 181 4 891699426 +883 124 5 891717419 +786 126 4 882842019 +114 200 3 881260409 +747 7 4 888639176 +761 742 2 876190370 +18 962 4 880131631 +922 380 4 891454218 +623 258 4 891032358 +760 195 4 875668535 +908 50 4 879722397 +911 1060 4 892841033 +887 56 5 881381382 +784 299 3 891387155 +943 393 2 888639638 +469 238 4 879525237 +848 50 5 887038397 +917 237 5 882912385 +843 651 2 879447837 +877 692 4 882677898 +631 315 4 888464916 +871 333 2 888192202 +763 13 3 878919116 +927 82 2 879197269 +930 165 5 879535609 +919 117 4 875288934 +903 120 2 891032101 +328 518 2 885048198 +668 902 2 890349285 +880 1119 3 880242028 +932 443 4 891250059 +847 70 3 878940584 +555 252 5 879962551 +894 70 3 882404536 +22 174 5 878887765 +19 294 3 885412034 +397 14 3 885349348 +795 95 4 881529851 +897 521 5 879990877 +916 825 1 880843750 +181 1325 1 878962816 +537 845 2 886030078 +559 94 3 891035979 +887 385 4 881380502 +804 425 4 879442643 +59 727 2 888205265 +886 919 4 876031869 +864 404 4 888890316 +519 268 5 883248065 +812 333 5 877625294 +600 53 4 888452563 +559 202 1 891035674 +523 169 5 883701800 +665 471 3 884292009 +749 180 4 878848483 +899 89 4 884121647 +490 255 1 875428309 +712 141 3 874730320 +451 1038 1 879012889 +940 70 3 885921500 +699 206 3 878883173 +893 260 2 874828296 +823 1067 4 878438511 +930 64 4 879535641 +216 3 4 880233061 +222 1250 1 881060635 +881 576 3 876538824 +916 147 1 880843578 +405 709 1 885547314 +840 654 4 891204160 +417 238 4 879647768 +551 265 4 892776336 +561 207 3 885809245 +759 118 5 875227954 +545 542 2 880348933 +751 486 3 889133737 +916 652 4 880844291 +804 930 3 879444115 +925 98 4 884717862 +716 494 5 879795542 +722 823 3 891281570 +927 775 3 879197949 +885 50 3 885712252 +279 222 1 875295943 +472 100 5 875978534 +881 768 3 876539505 +551 672 1 892785056 +538 174 4 877106619 +806 553 3 882389831 +519 751 4 884545801 +790 427 4 885155172 +913 180 3 880758150 +472 216 4 875981230 +10 479 5 877891966 +752 260 3 891208261 +450 59 4 882371904 +592 685 2 882608662 +59 505 4 888204260 +796 1039 4 892662223 +843 385 3 879444801 +896 422 3 887159972 +511 678 2 890005076 +913 83 4 881725904 +447 132 4 878855963 +896 380 2 887159748 +482 294 4 887643365 +334 419 3 891546181 +738 82 5 892844079 +843 229 3 879443908 +551 1118 5 892784199 +62 276 5 879372182 +420 286 4 891356790 +650 601 3 891386964 +864 127 4 888887216 +424 258 2 880858792 +854 1028 2 882813421 +698 526 2 886366611 +181 1242 1 878962349 +561 629 3 885809119 +896 655 4 887159109 +903 427 5 891466376 +626 879 1 878771418 +847 482 2 878940584 +664 724 3 876525695 +655 1144 3 888475015 +636 25 5 891449237 +422 271 3 879743635 +821 389 5 874793469 +854 756 3 882813364 +886 405 3 876033434 +768 597 2 883835210 +436 592 3 887770379 +893 476 3 874828772 +562 550 4 879196445 +887 501 4 881380884 +796 209 3 893048115 +938 260 4 891355996 +202 179 1 879727294 +943 406 3 875502597 +828 748 2 891035438 +247 258 5 893097024 +588 692 4 890024051 +862 467 4 879305143 +417 66 3 879648026 +551 760 3 892784592 +537 715 4 886032029 +894 1 4 880416286 +542 744 2 886532676 +751 481 4 889133684 +773 1170 3 888539711 +94 1065 4 885872942 +881 417 2 876538131 +426 641 4 879441931 +274 1163 2 878946162 +804 162 2 879446037 +727 474 3 883710910 +796 1511 3 892660955 +707 847 5 880060066 +506 484 4 882100828 +931 355 2 891036148 +8 566 3 879362423 +44 432 5 878347569 +749 485 4 878848097 +870 100 4 889717102 +929 22 5 879640394 +26 515 4 891352940 +774 250 3 888559123 +460 13 3 882912371 +838 9 4 887063696 +755 538 4 882570023 +923 1012 5 880387624 +551 211 5 892778035 +597 825 5 875343583 +177 42 4 880130972 +645 92 3 892054444 +930 137 2 879535734 +929 56 4 880817844 +871 181 3 888193335 +782 1292 3 891499700 +862 98 5 879304865 +1 13 5 875071805 +809 333 3 891036903 +875 32 5 876465275 +373 190 5 877100161 +880 1134 5 880241609 +457 160 4 882395078 +916 237 3 880843419 +153 322 3 881370900 +904 762 2 879735617 +938 323 3 891356282 +622 198 4 882669612 +622 431 5 882670169 +501 276 4 883348138 +891 148 5 891639793 +932 385 2 891251331 +933 144 4 874854932 +870 124 4 879376994 +60 228 4 883327472 +747 47 5 888639939 +588 286 4 890014710 +561 176 4 885807345 +655 471 3 887611594 +878 497 2 880872395 +897 1033 4 879993713 +859 288 4 885776056 +881 132 3 876538726 +117 1059 3 881008632 +715 629 2 875963921 +910 9 4 880821079 +555 301 4 879962096 +698 498 4 886366515 +653 482 2 880150218 +450 69 4 882373532 +406 1079 2 880132048 +846 87 4 883948417 +176 345 5 886046979 +838 83 5 887065807 +942 79 5 891282903 +33 288 4 891964066 +840 181 3 891204056 +717 1011 4 884644419 +868 755 4 877112184 +456 1421 3 881374437 +177 238 3 880131143 +898 327 5 888294529 +860 517 4 885991076 +385 23 5 879441313 +870 574 1 879902181 +363 384 1 891498066 +645 56 3 892053241 +227 15 4 879035725 +923 628 4 880387428 +753 653 4 891401851 +932 427 4 891249709 +880 109 4 880167114 +533 28 4 879192315 +690 636 4 881179969 +780 174 5 891363783 +887 419 2 881379748 +16 33 2 877722001 +936 455 3 886833148 +425 258 2 878737511 +921 820 3 879380328 +625 165 3 891999926 +145 333 2 885557626 +318 167 4 884497611 +926 302 4 888351713 +912 653 3 875965906 +508 79 2 883767543 +389 209 4 880087048 +16 410 5 877718107 +925 816 3 884718156 +865 475 4 880143425 +617 302 4 883788511 +928 48 5 880936817 +933 840 3 874939230 +933 167 2 874938491 +881 420 3 876539549 +360 471 4 880355177 +862 498 4 879304445 +504 401 2 887911789 +622 226 4 882670367 +661 195 5 888300488 +933 94 1 874938475 +897 65 4 879992811 +918 664 4 891987914 +921 1028 4 879380142 +689 358 4 876674762 +843 168 3 879446255 +222 230 4 878182058 +903 763 5 891031450 +740 271 2 879522753 +158 294 1 880132193 +66 300 5 883601089 +907 1016 5 880158939 +825 409 3 889020852 +622 1228 1 882672922 +872 546 4 888479560 +343 1047 1 876403776 +405 738 1 885547447 +848 127 3 887038159 +643 187 4 891447127 +499 519 3 885599040 +937 295 4 876780336 +813 263 3 883752606 +815 403 4 878697532 +859 118 3 885775193 +178 269 4 882823324 +21 286 3 874950889 +254 200 3 886472504 +754 286 3 879450947 +851 1014 3 874767408 +690 642 3 881179937 +867 69 2 880078797 +816 264 4 891711495 +771 172 4 880659482 +636 760 5 891449263 +707 167 2 886288133 +796 778 4 893047021 +772 328 5 876250551 +627 23 4 879529986 +766 497 3 891309736 +847 89 2 878940332 +896 24 4 887159344 +777 135 3 875980391 +837 1009 5 875721765 +724 895 4 883757727 +90 135 5 891384570 +387 12 5 886484336 +774 214 3 888556517 +929 433 2 880817753 +496 1091 1 876068433 +145 1279 1 875270903 +401 88 4 891033319 +734 164 3 891025524 +919 879 3 875920627 +764 633 5 876244991 +313 79 5 891015114 +425 455 2 878738992 +234 1010 2 892335415 +790 183 4 885156193 +919 875 1 875288362 +537 340 4 886028604 +792 15 4 877909865 +710 286 4 882063223 +419 69 4 879435628 +621 82 5 874964267 +748 408 5 879454428 +499 1483 1 892501259 +916 144 3 880844016 +719 98 5 877310859 +12 69 5 879958902 +908 515 4 879722463 +545 451 3 879900366 +897 866 5 879993797 +810 342 5 890083580 +686 50 4 879545413 +894 290 2 880416285 +605 333 4 880554130 +13 336 2 882140848 +629 435 4 880116756 +796 685 4 892660466 +892 98 5 886607912 +636 235 4 891449371 +932 162 4 891250704 +896 420 4 887158739 +213 924 4 878870846 +749 298 4 879788916 +807 515 4 892528999 +466 679 3 890285159 +344 496 4 889814194 +942 705 4 891283095 +941 763 3 875048996 +805 258 3 879971215 +883 785 3 891694372 +752 332 4 891208170 +326 523 4 879875057 +880 1014 4 892959041 +846 215 5 883949156 +688 879 5 884153712 +880 1224 3 880242632 +878 136 4 880866241 +344 319 1 886381985 +870 198 4 875679860 +218 98 5 881288233 +643 956 4 891448586 +752 752 3 891208213 +171 326 2 891034801 +695 333 2 888805952 +883 173 4 891694182 +394 549 4 880888452 +455 172 4 879112054 +795 50 3 880557114 +892 568 4 886610451 +608 197 5 880405431 +848 197 5 887038021 +266 100 5 892257865 +749 821 3 878847328 +846 515 5 883948457 +388 200 5 886441083 +883 304 3 891691534 +600 568 4 888451908 +891 118 4 883490041 +500 846 3 883865566 +513 763 3 885062453 +599 1 4 880951657 +663 864 3 889492917 +436 425 4 887769335 +326 519 5 879875533 +470 327 3 879178274 +889 405 2 880177567 +456 793 3 881374883 +716 72 3 879796766 +72 106 4 880036185 +373 465 4 877104202 +44 190 5 878348000 +833 13 2 875036139 +800 121 4 887646423 +908 482 3 879722667 +711 161 4 879994495 +655 372 3 887428507 +394 627 5 880888972 +727 25 3 883708927 +863 336 2 889289327 +724 351 1 883758241 +934 498 3 891191511 +751 739 3 889133556 +561 25 2 885809426 +221 117 4 875244633 +899 357 4 884121342 +436 11 5 887769777 +928 172 5 880936769 +293 410 2 888905034 +612 25 3 875324915 +160 325 3 878078115 +804 646 4 879441936 +916 425 5 880844102 +267 12 5 878971659 +647 202 4 876534275 +771 694 3 880659894 +798 801 3 875915317 +932 1411 4 891251647 +872 1376 2 888479603 +374 925 3 880394301 +704 197 5 891397948 +864 49 3 888892091 +523 1036 4 883702552 +829 20 3 881707829 +509 181 4 883591826 +13 813 1 882139863 +766 968 4 891310241 +877 98 5 882678427 +727 679 5 883712315 +650 642 3 891370065 +342 514 5 874984341 +778 35 1 891234406 +293 238 4 888906464 +458 515 4 886396729 +943 2 5 888639953 +614 1142 3 879463965 +862 1009 4 879303622 +638 226 5 876695217 +764 7 4 876243159 +272 134 5 879455176 +918 529 3 891987290 +887 143 5 881379781 +95 462 4 879197022 +840 637 3 891205199 +881 520 5 876538986 +883 550 3 892557605 +894 960 5 882404572 +936 221 4 886832373 +887 115 5 881380218 +642 393 5 885605834 +880 556 3 880242451 +549 323 2 881671879 +152 660 5 880150075 +833 76 2 875124382 +201 508 4 884140458 +833 197 3 875123427 +666 69 3 880139149 +910 1 4 880822060 +730 151 4 880310371 +932 165 4 891248996 +826 651 4 885690526 +293 820 2 888905306 +868 82 2 877112001 +757 145 3 888467442 +591 110 2 891031676 +642 191 4 886131970 +823 143 4 878438024 +916 188 3 880844789 +682 1019 5 888519519 +782 245 4 891498139 +782 1254 3 891499829 +592 688 1 882607744 +661 180 5 876016545 +721 876 3 877137447 +323 156 5 878739720 +94 997 4 891723190 +923 129 5 880387474 +250 202 4 878090253 +454 602 2 888267521 +795 203 3 881530198 +816 271 4 891711378 +116 127 5 876454257 +492 699 3 879969210 +193 347 4 889122906 +782 1088 2 891499611 +776 657 3 891628977 +896 183 4 887235690 +840 89 5 891204418 +501 544 4 883348372 +825 866 4 880756376 +627 690 5 879529406 +905 879 3 884983627 +13 882 3 886952438 +807 50 5 892529076 +916 566 3 880845574 +527 318 3 879456104 +12 127 4 879959488 +708 289 4 892719062 +796 559 3 893218453 +398 483 5 875720673 +592 1142 5 882608145 +393 9 4 887744448 +788 135 3 880869014 +328 715 2 885046853 +627 89 5 879531158 +907 71 5 880159911 +894 93 4 880416219 +374 823 1 880936476 +886 117 2 876033624 +374 181 3 880392846 +826 210 5 885690526 +910 25 3 880822203 +508 186 3 883777109 +901 210 4 877130999 +927 374 4 879195783 +659 79 4 891384036 +898 272 4 888294375 +920 288 3 884219768 +766 530 4 891309703 +328 167 3 885048861 +591 603 5 891031116 +813 270 5 883752380 +915 752 3 891030120 +834 287 2 890862974 +833 298 5 875036383 +932 478 4 891249962 +936 410 3 886833099 +896 68 3 887160313 +892 129 3 886608897 +183 50 2 891467546 +938 1254 1 891357019 +911 443 4 892841220 +727 128 4 883712016 +939 9 5 880260745 +706 117 4 880997195 +884 462 4 876859237 +870 693 4 879713979 +892 419 3 886609520 +860 307 3 879801617 +854 249 3 882812928 +880 147 4 880167224 +930 1048 2 879535160 +896 402 4 887159173 +872 930 3 888479654 +890 162 4 882403007 +936 6 5 886832636 +707 507 5 886286819 +830 134 3 891464054 +670 1299 4 877974905 +864 559 4 888888680 +805 810 2 881695105 +878 702 1 880871600 +870 9 5 879376967 +896 274 2 887158865 +591 283 4 891039565 +506 12 5 874873247 +655 61 3 887564614 +482 258 2 887644023 +882 1116 4 879879868 +899 684 3 884122501 +782 1670 3 891497793 +722 696 4 891281570 +931 315 5 891037577 +658 919 2 875145841 +774 597 2 888558565 +244 193 4 880605638 +588 216 5 890024781 +786 484 4 882843398 +660 257 4 891197934 +788 736 3 880870299 +435 55 5 884131434 +943 194 5 888639192 +864 194 4 888886984 +881 25 3 876536198 +537 980 3 886030051 +881 515 4 876535967 +763 317 3 878919180 +706 24 3 880997172 +430 303 4 877225239 +489 879 5 891366652 +590 137 5 879438878 +806 226 3 882389908 +676 286 4 892685252 +889 294 3 880176686 +38 768 5 892433062 +587 988 2 892871641 +758 640 5 881975119 +387 568 2 886483099 +871 1430 3 888192744 +716 489 4 879795496 +661 471 4 876037167 +829 1 4 891990554 +922 51 4 891448451 +95 631 4 880573627 +650 258 3 891368960 +844 222 3 877381629 +719 402 4 879360933 +748 4 4 879454912 +249 844 5 879572795 +643 357 5 891446889 +680 151 5 877075164 +450 366 3 882396489 +711 306 5 879991049 +425 50 5 878738335 +781 172 5 879634362 +903 1142 5 891466376 +673 898 3 888787312 +940 516 4 885921401 +844 919 3 877381534 +425 27 3 878738695 +457 208 4 882396705 +864 678 4 887686545 +659 655 4 891383561 +883 955 5 891696689 +929 423 4 879640394 +839 864 3 875751958 +790 80 2 885157575 +539 163 4 879788572 +714 9 3 892775786 +405 1529 1 885549635 +759 24 3 875227904 +723 178 3 880498938 +827 938 3 892157282 +330 82 4 876546298 +92 597 2 886443328 +711 200 4 879993918 +940 302 4 884801316 +807 393 4 892528954 +497 926 2 879309759 +592 518 5 882956011 +804 642 3 879445556 +238 237 3 883576281 +733 297 3 879535559 +846 213 3 883948534 +924 427 4 885458010 +560 22 2 879975613 +705 377 4 883427857 +898 315 5 888294375 +659 1044 4 891386071 +428 310 4 885943651 +766 71 3 891309913 +429 936 4 882385934 +711 387 4 879994777 +907 313 5 885860093 +551 143 4 892777274 +330 468 5 876547608 +887 142 1 881381207 +889 433 4 880180612 +213 288 4 878870226 +933 210 3 874853734 +882 1052 2 879864125 +393 315 5 887741960 +422 323 3 875129668 +851 332 1 884205263 +429 177 4 882385065 +940 651 4 885921243 +731 494 3 886179161 +541 623 3 883874778 +496 206 4 876068615 +868 114 5 877103371 +806 231 3 882390614 +904 202 2 879735584 +940 269 4 884801316 +656 300 2 892318614 +796 8 5 892690059 +878 515 4 880865900 +622 725 3 882672177 +766 1050 3 891309668 +632 203 3 879457217 +567 83 4 882425791 +823 42 4 878438357 +865 1240 5 880235099 +892 184 4 886609726 +224 729 3 888104188 +273 896 4 891292873 +938 508 4 891356367 +446 300 3 879787149 +840 756 4 891203664 +716 168 5 879796942 +804 182 4 879444924 +781 134 5 879634256 +896 128 4 887159321 +479 647 5 879461039 +933 665 1 874938878 +902 326 3 879463310 +870 382 3 875680568 +798 734 3 875639061 +527 134 5 879456490 +885 99 4 885714858 +883 1005 5 891695570 +883 778 4 891694372 +782 256 2 891500150 +790 203 4 885155459 +815 121 2 878692344 +825 844 2 892949244 +840 501 4 891209159 +499 258 2 885598932 +904 603 4 879735843 +435 818 2 884133938 +929 205 4 879639969 +933 186 4 874938563 +871 82 3 888193336 +916 568 4 880845949 +592 282 4 882608572 +764 531 5 876244991 +863 286 5 889289191 +880 384 3 880175157 +655 111 2 887523664 +899 603 4 884121379 +878 584 4 880867803 +871 331 3 888192202 +567 489 5 882426673 +655 357 4 887426864 +870 196 3 879539965 +114 172 5 881259495 +883 204 4 891694182 +181 370 2 878963418 +852 264 3 891035999 +758 61 3 881976289 +601 387 3 876350583 +537 173 4 886030682 +713 690 1 888882179 +870 477 4 876319062 +883 12 4 891717356 +506 85 3 874873795 +940 100 3 885921471 +883 285 5 891723351 +256 21 4 882163677 +405 170 1 885549506 +737 160 4 884314881 +756 983 2 874830305 +678 300 4 879544295 +846 802 2 883949508 +884 1018 2 876860514 +749 546 3 878849857 +855 475 4 879825383 +633 654 3 875324654 +622 172 5 882669826 +554 77 4 876550778 +851 176 4 875731816 +125 763 3 892836574 +121 315 4 891389282 +886 693 4 876033897 +572 813 4 879449573 +505 82 4 889333274 +435 235 4 884132266 +923 713 5 880388173 +624 282 4 879793330 +405 1573 1 885549464 +709 540 3 879848744 +844 421 4 877387219 +472 208 5 875981317 +663 13 3 889492562 +346 226 3 886273914 +788 528 5 880868144 +450 1518 4 887138957 +27 1017 4 891542897 +790 475 3 884461657 +846 432 3 883948457 +897 402 5 879991069 +280 411 3 891701871 +919 250 3 875288749 +904 794 4 879735710 +417 1411 3 880952418 +25 177 3 885852488 +795 405 1 883774317 +851 689 3 883148867 +715 233 3 875964468 +892 487 5 886609295 +222 223 4 878181535 +753 187 3 891401851 +868 1188 1 877110060 +620 1091 4 889988069 +903 79 4 891033070 +665 931 3 884291810 +809 315 5 891036743 +758 419 4 881974639 +561 925 3 885810084 +862 559 4 879305312 +911 153 5 892839784 +533 44 4 879191594 +939 280 5 880261291 +868 317 5 877107961 +749 139 4 878850084 +627 276 2 879530173 +934 213 4 891190744 +663 1067 3 889492562 +766 132 4 891309522 +786 50 4 882844295 +548 98 5 891044410 +267 89 5 878971690 +788 172 3 880869687 +593 179 5 877728878 +479 15 3 879460140 +653 232 2 880152426 +453 67 4 888205882 +870 710 3 875680212 +933 56 5 874853688 +634 225 3 875729668 +864 81 3 888891836 +7 317 4 892133670 +881 229 4 876538726 +94 721 2 891721078 +927 278 1 879181133 +934 99 3 891194379 +897 40 3 879990361 +529 689 2 882535049 +707 504 1 886286246 +937 50 5 876769374 +887 50 5 881377758 +778 246 2 890769632 +854 175 4 882813797 +159 597 5 880989838 +308 1118 4 887740500 +773 251 3 888538573 +868 550 4 877112393 +254 135 5 886471880 +217 825 3 889070266 +484 161 4 891195444 +643 234 4 891447260 +629 200 4 880117333 +450 405 4 882474001 +494 127 5 879541080 +751 99 4 889134483 +738 197 4 875353869 +829 258 3 886993238 +663 948 4 889492258 +788 662 4 880871359 +276 469 4 874787441 +524 1184 3 884637173 +916 535 3 880843949 +398 662 2 875723172 +73 514 4 888626153 +854 168 4 882814435 +529 260 4 882535693 +429 562 2 882387575 +795 39 4 883253661 +445 879 2 891199331 +880 1217 3 880243712 +704 100 4 891397491 +882 99 5 879878486 +162 28 4 877636746 +430 298 3 877225547 +201 45 2 884111958 +906 286 5 879434335 +74 300 3 888333194 +862 678 4 879302614 +181 287 2 878963038 +889 83 4 880180817 +524 418 1 884637598 +63 294 2 875747047 +226 23 3 883889355 +144 183 4 888105140 +919 334 4 885059506 +917 248 4 882912385 +395 288 2 886481149 +825 25 4 880756904 +883 430 5 891694401 +880 1244 3 880167411 +342 1011 3 875318467 +430 297 4 877225599 +670 419 4 877974945 +833 645 3 875039416 +72 770 4 880037306 +756 222 2 874828967 +738 930 3 875351956 +343 735 5 876406576 +452 71 3 875273415 +782 1257 1 891500230 +392 875 3 891037851 +646 323 3 888529153 +655 603 4 887473605 +894 276 5 880416314 +663 984 3 889491690 +738 1 5 892844079 +709 65 2 879846868 +938 456 1 891357161 +901 1 5 877129870 +329 322 3 891655570 +815 837 5 878694983 +933 735 3 874853846 +617 854 1 883789464 +934 732 5 891194089 +405 466 1 885548633 +642 812 4 886455357 +504 739 3 887841201 +887 13 1 881378928 +932 77 2 891251869 +892 64 4 886608347 +778 405 3 890727091 +437 248 2 880141716 +804 504 3 879444444 +883 584 3 891693200 +721 204 5 877154765 +794 137 5 891035307 +796 245 3 892612031 +894 268 3 879896041 +429 300 3 882385168 +831 688 1 891354424 +553 527 3 879949290 +250 159 4 878092144 +851 310 5 891961663 +60 141 3 883327472 +586 56 5 884060112 +798 1503 3 876176071 +244 1012 2 880604670 +582 313 5 882960461 +833 448 3 875124495 +570 340 3 881262145 +788 230 3 880869754 +833 980 3 875035800 +320 51 5 884750992 +529 300 4 882535049 +911 451 2 892840253 +753 316 4 891399903 +892 1091 2 886611079 +505 648 4 889334614 +38 413 1 892434626 +650 639 3 891371116 +849 118 5 879695153 +703 926 4 875242885 +793 222 3 875103971 +178 223 4 882827433 +522 180 5 876960824 +571 181 4 883354940 +853 880 5 879364822 +936 235 3 886833099 +922 576 4 891450805 +796 216 5 892761543 +749 226 4 878848533 +846 778 4 883948804 +234 843 2 892334400 +864 164 4 888887216 +293 73 2 888906869 +314 568 5 877888391 +823 503 5 878439315 +846 497 5 883948685 +506 455 3 876070976 +867 191 5 880079117 +630 568 4 885668328 +537 499 3 886031634 +252 124 5 891457490 +921 400 4 879381158 +882 411 3 879863457 +297 659 4 881708055 +710 100 4 882063920 +267 959 3 878972524 +378 82 4 880045935 +877 52 4 882677507 +886 180 5 876031392 +486 281 3 879874629 +932 1116 4 891250943 +75 866 2 884050733 +577 22 5 880472153 +399 919 2 882510379 +880 401 3 880175077 +892 238 4 886608296 +660 523 3 891200534 +913 100 3 880824823 +85 663 5 879454437 +546 892 4 885141260 +620 588 5 889988036 +457 252 4 882395638 +932 447 3 891250944 +378 204 4 880056826 +918 72 1 891988491 +715 713 4 875962201 +629 326 3 880116103 +908 79 4 879722850 +244 56 5 880602440 +299 510 5 889501392 +416 926 2 886315298 +608 234 5 880404847 +805 645 5 881704193 +919 304 4 875920245 +665 237 3 884290635 +761 282 4 876190752 +588 151 4 890026263 +775 315 5 891032742 +314 1048 4 877886221 +690 127 4 881178213 +293 66 2 888906781 +746 174 5 885075243 +886 58 4 876032331 +443 948 1 883504844 +617 200 5 883789425 +234 768 2 892335990 +450 415 3 882398220 +537 953 3 886031473 +903 240 4 891031730 +787 691 4 888979123 +493 959 2 884131263 +234 699 3 892079538 +783 294 3 884326506 +666 50 3 880313447 +877 463 4 882677311 +675 223 1 889490151 +230 10 3 880485530 +524 493 4 884638025 +860 287 3 885991407 +666 100 4 880313310 +450 232 4 882398666 +719 294 2 877311109 +295 941 4 879518359 +648 286 1 882210926 +868 207 3 877107189 +416 1136 4 886318186 +416 624 3 886317237 +429 583 3 882386121 +758 43 3 881977747 +932 470 3 891251331 +748 79 4 879454998 +468 143 5 875288197 +448 288 1 891887161 +459 1014 1 879563506 +269 673 4 891448322 +717 1051 3 884642868 +816 678 4 891710837 +43 143 4 883955247 +872 294 3 888478882 +846 99 4 883948989 +693 228 2 875483947 +670 161 2 877975392 +328 481 3 885048500 +470 742 4 879178455 +916 58 5 880844291 +756 88 1 874829743 +863 348 2 889289456 +374 732 4 880395320 +661 298 3 886841348 +405 1090 1 885548670 +349 459 4 879465569 +535 135 3 879617978 +679 111 3 884487715 +877 155 2 882677997 +296 659 5 884198772 +551 33 5 892778297 +790 168 4 885155230 +843 197 2 879446638 +833 467 2 875038626 +939 680 2 880260636 +159 15 5 880485972 +833 230 1 875223923 +751 738 4 889299733 +896 51 2 887159951 +327 250 2 887745272 +303 1209 2 879544021 +594 276 3 874783470 +790 283 2 884461517 +246 175 4 884921362 +933 411 2 874938689 +643 172 5 891447093 +591 511 3 891031145 +201 33 4 884112487 +889 147 3 880176926 +592 591 4 882608402 +6 237 2 883599914 +425 684 2 878738385 +655 1448 3 887523224 +268 449 2 875744357 +41 514 4 890687042 +130 203 4 875801716 +435 10 5 884131950 +7 164 5 891351813 +757 1014 3 888444827 +880 731 4 880175023 +90 491 4 891384959 +536 95 5 882360361 +445 1378 2 891199635 +362 678 2 885019651 +695 302 4 888805836 +407 189 4 875042268 +889 124 4 880177050 +538 58 4 877109688 +621 62 4 874964496 +858 754 4 879459087 +664 525 4 876526580 +846 212 5 883948804 +479 200 5 889125775 +910 124 3 880821124 +825 1051 4 880755693 +591 4 4 891040366 +887 471 3 881377972 +747 1041 4 888733567 +330 627 5 876545479 +936 244 4 886833099 +286 183 4 877531864 +859 410 4 885776056 +422 234 4 879744015 +872 717 4 888479582 +679 751 5 884325826 +835 514 3 891033986 +941 298 5 875048887 +378 728 3 880332998 +14 524 5 879119497 +682 48 4 888517264 +748 300 4 879454172 +877 531 5 882677128 +635 742 3 878879190 +567 303 3 882426350 +727 147 3 883709402 +463 286 4 877387935 +382 252 2 875946262 +846 181 5 883947694 +846 271 5 883946611 +174 98 5 886452583 +429 11 4 882385464 +921 762 2 879380237 +664 317 3 878095280 +694 241 3 875727877 +892 760 3 886609330 +870 713 4 879376966 +815 659 5 878694952 +539 215 4 879788623 +940 709 5 885921451 +918 1639 5 891987571 +830 399 5 891561999 +435 79 4 884131016 +757 188 3 888466614 +586 551 2 884061189 +514 268 4 885180579 +727 366 3 883712397 +918 1195 4 891986664 +851 597 4 875730686 +897 290 4 879993457 +435 155 3 884133710 +267 181 5 878974783 +222 465 2 878183898 +296 462 4 884197330 +543 47 3 877547672 +807 484 4 892530966 +790 568 3 885157087 +919 148 3 875289417 +774 674 2 888557683 +799 331 4 879253795 +224 526 4 888082495 +92 108 2 886443416 +455 744 3 879109881 +721 237 3 877145312 +892 525 5 886607957 +588 50 5 890024427 +881 580 5 876538251 +666 129 4 880313270 +588 403 3 890027525 +201 737 2 884112077 +582 473 3 882962062 +919 82 5 875373945 +405 621 1 885548932 +885 188 3 885715946 +606 1011 3 880921408 +671 654 3 884034800 +916 117 2 880843509 +851 1051 2 875730279 +618 1163 2 891309266 +741 216 4 891457342 +878 485 3 880866103 +846 182 5 883948089 +705 117 5 883426944 +786 188 5 882843237 +890 663 4 882402949 +585 286 4 891281385 +657 508 4 884239057 +318 941 4 884497715 +885 393 3 885713680 +239 179 5 889180410 +745 302 4 880122475 +803 264 2 880055309 +615 14 5 879448016 +889 239 4 880180554 +880 96 4 880167695 +731 202 5 886186568 +397 591 4 885349562 +474 126 4 887915366 +884 638 4 876859301 +883 338 4 891695193 +849 207 5 879695680 +648 151 2 882212288 +472 603 5 875980376 +588 720 4 890027247 +767 648 4 891462917 +864 625 4 888890273 +939 591 5 880260994 +413 100 4 879969535 +885 111 4 885712996 +398 283 3 875652760 +270 118 3 876956038 +916 674 3 880845522 +886 265 4 876032553 +864 563 3 888892539 +784 260 4 891387704 +435 953 3 884132968 +886 15 3 876031869 +599 866 2 880952229 +886 659 4 876033731 +776 679 4 891628708 +200 465 4 884129112 +676 483 4 892686459 +682 1228 1 888522699 +897 121 5 879993376 +880 761 4 880167965 +43 731 4 875981190 +449 213 3 880410652 +643 82 3 891448095 +529 690 3 882535180 +896 1045 3 887159012 +935 282 4 884472539 +592 99 5 882955663 +768 274 3 880136201 +804 951 3 879444781 +289 109 3 876789628 +655 1311 3 887474473 +794 273 4 891036111 +697 263 1 882621714 +815 190 5 878693381 +889 919 5 880177050 +868 547 3 877112559 +795 1 4 883767204 +660 182 2 891200213 +503 185 5 879454753 +727 399 3 883712717 +380 1101 4 885479487 +345 210 4 884992174 +189 185 5 893265428 +892 62 4 886610011 +862 483 5 879304326 +497 42 4 878759777 +716 234 5 879795269 +828 288 3 891034237 +880 24 3 880167175 +831 271 2 891354225 +758 616 4 881976377 +796 43 4 893188486 +942 265 5 891282880 +659 1021 5 891331825 +932 600 2 891252412 +886 92 3 876031481 +833 47 5 875123299 +491 493 4 891185129 +115 100 5 881171982 +886 959 3 876032473 +634 845 3 875729148 +588 234 5 890024161 +121 11 2 891387992 +883 863 3 891693497 +80 887 4 887401236 +201 705 3 884113302 +795 10 4 880556527 +943 1044 3 888639903 +793 3 4 875104592 +545 684 4 879899380 +311 781 2 884366307 +889 258 4 880176550 +665 121 2 884290480 +933 166 3 874854062 +633 195 4 875324997 +347 260 1 881652250 +910 118 3 881420857 +416 330 3 885114446 +754 1197 3 879451841 +747 644 5 888639397 +13 778 3 886302694 +757 449 3 888466782 +535 504 3 879617574 +938 597 3 891356679 +634 245 3 875729217 +710 420 4 882064434 +393 586 3 889731040 +181 1341 1 878962169 +209 293 4 883417796 +617 671 4 883789425 +880 588 4 880241219 +741 178 5 891018435 +312 484 5 891698174 +843 1 3 879446186 +655 93 3 888474986 +118 234 5 875385386 +897 235 3 879993519 +532 98 5 893119438 +934 1411 4 891195437 +814 667 2 885411204 +294 255 3 889241958 +782 880 4 891498322 +763 1180 2 878915765 +488 134 2 891294707 +524 429 2 884635358 +707 462 4 886286133 +895 294 4 879437727 +145 249 4 875270832 +818 258 4 891870301 +901 423 4 877131685 +853 340 1 879364744 +758 433 5 881976820 +758 447 4 881977487 +180 181 2 877125956 +541 709 5 885595735 +654 223 4 887864497 +860 712 3 885991316 +880 248 4 892958863 +487 178 5 883445540 +830 49 5 892503093 +887 378 5 881381207 +46 262 5 883614766 +842 340 5 891218192 +918 168 3 891986999 +880 234 5 880241327 +540 147 3 882157612 +655 1388 3 887477336 +823 52 3 878439605 +239 1065 5 889181015 +815 1133 3 878697466 +648 527 4 884368643 +592 1166 3 882956668 +528 250 3 886812886 +864 232 4 888889327 +841 1294 5 889067507 +26 936 4 891352136 +796 64 4 892662400 +887 1013 4 881379295 +145 218 3 877343121 +901 151 3 877129870 +918 196 3 891987267 +727 1185 1 883711847 +758 293 3 880672727 +942 310 4 891282396 +601 195 3 876348611 +44 181 4 878341290 +567 56 4 882425630 +889 385 3 880180376 +326 131 2 879875457 +932 487 3 891250558 +734 821 2 891023086 +885 420 4 885714858 +743 340 3 881277551 +654 12 5 887864389 +868 429 2 877103834 +774 566 2 888557277 +532 840 4 892867296 +299 49 4 889502823 +534 282 5 877808174 +513 121 5 885062602 +788 62 3 880870179 +716 708 4 879797443 +940 258 5 884801316 +38 627 5 892431586 +827 332 3 882204460 +596 50 5 883539402 +682 721 4 888518937 +533 451 2 879439465 +894 875 3 880415952 +383 528 4 891193242 +682 180 3 888516979 +537 1011 3 886030416 +892 418 4 886610996 +265 273 5 875320714 +894 961 4 882404642 +225 478 5 879539767 +642 928 5 886131546 +938 288 5 891354203 +401 482 4 891033343 +805 191 4 881697713 +402 408 5 876266741 +815 133 5 878694613 +833 378 3 875124648 +514 87 5 875318163 +559 521 2 891033911 +774 743 1 888558623 +561 709 3 885808824 +324 508 5 880575618 +880 930 2 880167551 +916 125 3 880843750 +409 79 4 881108246 +790 258 3 884461387 +938 225 4 891357161 +693 566 2 875483473 +919 315 3 885059569 +776 603 4 891628599 +796 1032 3 893219451 +804 413 4 879443918 +506 196 4 874873745 +924 200 4 885458093 +880 81 4 880242094 +725 748 4 876103744 +375 1046 2 886622131 +836 900 2 885753475 +846 381 4 883950311 +934 163 4 891193331 +919 28 4 875373888 +899 179 2 884121267 +795 72 3 883252003 +653 1136 2 880152759 +579 523 3 880951740 +917 751 2 882910409 +888 111 4 879365072 +405 665 1 885548094 +870 690 2 886372265 +634 696 4 875729535 +180 655 5 877127159 +758 66 3 881977169 +757 931 2 888445150 +846 638 4 883947694 +537 591 3 886030051 +383 124 4 891192949 +747 517 5 888734012 +871 182 5 888192925 +243 77 3 879988587 +686 22 5 879545181 +922 258 4 891454681 +646 880 3 888529127 +48 193 2 879434751 +532 864 4 887041540 +653 620 3 880153740 +533 508 4 879192702 +608 514 5 880403320 +922 67 3 891452928 +855 510 4 879825578 +111 304 4 891679840 +719 300 2 888449132 +635 333 5 878878685 +894 536 5 879896756 +406 210 5 880131703 +546 665 2 885141411 +903 684 3 891033828 +865 473 3 880144194 +634 1162 1 877017951 +569 333 3 879793036 +64 496 5 889737567 +894 736 4 882404572 +151 173 5 879524130 +548 293 4 891043760 +307 269 4 879283333 +892 194 4 886608423 +280 318 5 891700607 +74 358 2 888333372 +780 4 3 891363969 +889 203 2 880181275 +728 323 3 879442685 +864 258 5 877214042 +862 196 5 879304799 +33 300 4 891964131 +878 923 3 880866687 +938 1061 4 891357085 +890 194 5 882402774 +747 174 5 888639138 +447 762 3 878855139 +642 432 2 885602369 +583 195 4 879384404 +669 195 2 891260542 +751 204 4 889133950 +95 648 3 888954170 +866 896 2 891221006 +851 818 2 875730279 +805 597 3 881695080 +847 419 3 878941027 +823 231 3 878439337 +236 521 3 890115996 +823 128 2 878438733 +478 204 4 889388658 +497 928 3 879361744 +608 340 4 880402982 +542 22 3 886532314 +894 1005 5 882404669 +901 636 2 877131147 +811 988 4 886377686 +678 277 3 879544882 +151 28 4 879524199 +677 740 1 889399265 +743 408 4 881277931 +532 1240 2 874793852 +916 168 4 880844369 +890 484 3 882915942 +758 96 5 881976985 +877 690 4 882676098 +799 321 4 879253720 +672 181 3 879788708 +639 949 3 891240868 +881 409 4 879052545 +766 375 2 891310907 +190 24 3 891033773 +936 3 4 886833148 +539 56 2 879788046 +766 609 3 891309767 +757 164 3 888445684 +296 696 4 884196805 +398 97 4 875721348 +932 205 5 891250211 +935 9 1 884472352 +747 653 5 888639939 +892 659 4 886608681 +181 544 1 878962919 +878 64 5 880866446 +903 154 4 891033781 +891 924 5 891639737 +391 98 4 877399133 +393 652 3 889729375 +121 458 1 891388847 +883 275 4 891692657 +921 1051 3 879380433 +194 199 4 879521329 +898 312 2 888294707 +64 347 3 889737062 +648 576 4 884882916 +776 444 2 892920423 +877 302 2 882676054 +807 998 3 893081656 +398 135 3 875657802 +471 1219 4 889828026 +824 259 4 877020927 +738 225 3 875351837 +429 796 3 882386601 +102 1 3 883748352 +407 219 4 876348318 +498 337 4 881954617 +343 1117 3 876403563 +774 530 5 888557197 +100 751 4 891374868 +819 177 4 884105025 +787 313 5 888979547 +828 475 4 891035724 +921 1287 1 879380401 +778 216 3 890726264 +880 1017 3 880175077 +683 354 3 893286347 +930 106 4 879535392 +13 515 2 881515193 +465 836 3 883531155 +769 1093 3 885423632 +746 720 3 885075399 +880 470 4 880242306 +466 241 5 890284857 +868 327 4 877103039 +882 199 5 879867508 +327 183 3 887744065 +864 235 5 888891794 +913 596 1 881367210 +796 486 5 892676072 +523 1121 5 883700969 +363 301 3 891493918 +770 268 5 875971568 +907 50 4 880158692 +543 796 3 877550790 +378 660 4 880056547 +872 290 2 888479537 +840 175 4 891205004 +100 271 3 891375260 +860 321 3 880829225 +745 9 4 880122809 +646 1313 3 888529180 +943 31 4 888639066 +903 87 4 891032981 +787 286 3 888979007 +89 173 5 879459859 +932 195 4 891250643 +697 9 4 882622505 +406 294 3 879445250 +916 971 4 880845476 +424 300 2 880859199 +504 168 5 887839164 +148 173 5 877017054 +13 9 3 882140205 +903 60 4 891033048 +523 531 5 883700792 +682 27 3 888518104 +642 208 5 886131547 +681 292 4 885409883 +911 374 1 892841118 +429 80 3 882386684 +936 121 4 886832544 +938 1152 3 891357106 +880 310 3 892958036 +650 257 3 891384844 +889 651 4 880177906 +916 569 2 880845606 +916 97 4 880844789 +275 679 3 880315080 +234 447 3 892336047 +919 294 3 875288304 +561 928 2 885810330 +916 1101 4 880844419 +94 226 2 891721238 +807 543 2 892528427 +684 83 5 878761676 +854 411 2 882813143 +669 111 4 892549583 +912 661 2 875965981 +919 271 4 885059476 +312 429 5 891698951 +927 11 5 879183303 +408 751 4 889679982 +848 153 5 887039271 +895 742 4 879438123 +883 13 4 891723351 +942 750 4 891282355 +922 204 3 891451100 +261 596 2 890456142 +872 284 3 888479369 +158 70 4 880135118 +901 1047 3 877131391 +618 483 5 891308199 +894 277 4 880416341 +921 194 3 879380704 +934 420 4 891191469 +899 181 3 884119877 +318 1030 2 884498787 +894 212 5 882404572 +843 143 2 879447757 +896 179 2 887159630 +141 1040 3 884585547 +746 68 4 885075337 +582 294 1 882960396 +833 517 2 875133633 +632 468 3 879457925 +693 654 3 875483381 +805 141 2 881705843 +941 408 5 875048886 +563 220 4 880506703 +774 97 2 888556600 +796 387 3 893047504 +313 559 3 891029877 +864 665 3 888892300 +881 542 1 876538763 +157 1016 5 886890341 +738 211 3 892958137 +901 451 4 877132604 +913 531 2 880946475 +835 485 5 891033525 +593 393 4 886194041 +99 329 4 886518562 +848 484 5 887043040 +913 474 5 881725737 +881 186 3 876538221 +456 109 3 881371660 +214 518 3 891544000 +663 1059 2 889492614 +933 50 4 874854383 +293 712 2 888907603 +894 125 3 885428261 +784 346 4 891387077 +917 696 5 882912385 +596 286 4 883538815 +882 820 3 879863969 +642 660 3 886132089 +894 19 4 879897100 +927 535 3 879181694 +836 523 5 885754150 +598 300 4 886710671 +831 750 4 891354225 +569 546 3 879794302 +506 692 4 874873529 +683 315 4 893285557 +754 340 2 879451010 +541 95 4 883874682 +905 301 4 884983556 +722 866 4 891281108 +894 198 4 882404460 +881 582 1 876538465 +738 109 4 875353678 +256 829 4 882153751 +409 83 3 881108971 +474 9 5 887916203 +782 890 1 891498865 +937 19 1 876769436 +629 699 3 880117460 +374 88 3 880395665 +933 578 1 874939230 +796 342 5 892611871 +883 10 5 892557605 +916 193 4 880844420 +840 615 5 891204356 +892 484 5 886607568 +742 284 3 881335492 +798 694 3 875303718 +763 515 4 878915628 +208 781 3 883108498 +455 258 5 878585250 +79 763 5 891271741 +932 148 2 891252140 +776 524 5 891628752 +655 137 4 892333972 +882 151 5 879862327 +880 1185 1 880174995 +378 1168 3 880333383 +932 189 5 891250449 +896 29 2 887160916 +175 98 5 877107390 +773 541 1 888540187 +843 170 1 879446863 +456 14 5 881371427 +933 184 1 874938850 +894 190 5 879897100 +514 222 4 875462611 +932 530 4 891249903 +756 66 4 874829705 +591 194 4 891031171 +918 855 5 891987497 +825 597 5 880756933 +774 1215 1 888558623 +892 70 4 886608802 +848 528 3 887037980 +918 153 1 891987291 +588 100 1 890015374 +576 7 5 886985003 +840 609 4 891204627 +938 148 3 891356500 +641 558 5 879370299 +840 855 4 891205093 +894 303 4 879896756 +615 666 2 879448270 +815 168 3 878693424 +640 175 5 874777735 +882 121 4 879861739 +303 259 3 879466116 +206 326 1 888179713 +907 25 5 880159113 +645 48 4 892053748 +859 1008 4 885776056 +297 1136 3 875240053 +865 744 4 880144024 +694 72 4 875729107 +894 978 3 880416176 +303 81 4 879466866 +267 1035 4 878973971 +916 79 3 880845249 +712 946 4 874730521 +625 197 5 891262724 +7 309 3 891350704 +938 7 4 891356679 +568 430 3 877907834 +643 58 4 891448062 +795 17 2 883252686 +343 715 5 876405943 +771 164 2 880660025 +820 286 4 887954853 +757 1 4 888443974 +882 258 3 879860936 +834 148 4 890862563 +788 399 3 880871128 +655 298 4 887425564 +932 134 4 891250169 +642 40 4 885605866 +727 1250 1 883713760 +892 69 5 886610048 +24 699 3 875323051 +848 134 5 887043265 +914 1259 1 887123886 +835 135 5 891033560 +747 129 5 888639138 +733 116 4 879535368 +334 1011 4 891544680 +677 908 4 885191403 +503 8 5 880472435 +930 523 2 879535574 +910 254 1 881421240 +913 419 5 881725737 +890 179 5 882403299 +22 998 1 878886571 +752 995 4 891208261 +777 692 5 875980670 +790 582 3 885156852 +846 521 3 883948141 +588 111 1 890028509 +790 275 4 884461774 +561 588 2 885809197 +146 342 1 891457978 +880 381 4 880174808 +716 385 1 879796011 +758 12 5 881975243 +933 627 2 874854874 +551 727 5 892783559 +716 631 5 879795867 +669 654 5 891260754 +500 82 4 883874290 +427 334 5 879701326 +838 69 4 887067609 +930 1 3 879534525 +458 1335 1 886395565 +872 682 3 888478822 +715 1188 2 875964843 +916 250 4 880843361 +710 173 3 882063685 +313 235 3 891029148 +847 1031 2 878941005 +290 64 4 880474034 +847 820 1 878939375 +929 135 5 880817818 +276 293 4 874786686 +795 68 3 883253137 +916 541 2 880845206 +933 38 2 874939185 +221 423 2 875245167 +880 127 5 880167066 +934 428 4 891195503 +371 204 5 880435210 +643 202 3 891447835 +459 275 4 879562859 +935 597 4 884472576 +660 298 2 891198441 +342 324 1 874984002 +881 495 5 876537752 +886 132 3 876032399 +422 7 3 875129882 +923 293 4 880387908 +834 300 3 890860334 +207 1170 2 875506807 +218 431 3 881288386 +708 1049 2 877326086 +94 690 4 891928703 +561 385 2 885810144 +655 889 3 888474285 +288 100 5 886629749 +834 181 5 890862526 +532 660 4 888634801 +497 1041 3 879310473 +683 914 2 893283104 +932 616 5 891251153 +883 385 1 891696999 +464 50 4 878354966 +916 161 3 880845658 +927 111 4 879177457 +916 387 4 880845328 +617 192 5 883788900 +708 676 3 892719172 +488 31 4 891294439 +435 169 5 884130995 +59 143 1 888204641 +290 357 3 880474107 +841 325 3 889067216 +181 1352 1 878962240 +663 319 1 889492229 +738 528 4 875352679 +112 315 5 891299783 +881 1228 3 876538986 +645 46 5 892054508 +935 300 4 884471955 +670 483 5 877975200 +26 282 4 891373086 +826 82 3 885690482 +936 1335 4 886833325 +435 627 3 884133194 +931 126 4 891036463 +805 169 4 881695527 +870 197 5 875050723 +149 333 1 883512591 +411 194 5 892845605 +887 305 5 881377532 +896 637 2 887160041 +664 134 5 878092758 +89 405 3 879441586 +592 558 5 882955948 +671 526 2 884035406 +560 275 4 879975718 +943 231 2 888640186 +216 833 2 880233233 +605 934 4 879425706 +930 116 5 879535392 +830 88 4 891464148 +911 465 5 892840807 +843 74 2 879448830 +880 1188 2 880167880 +865 685 3 880144071 +445 271 1 891199458 +804 448 3 879445841 +793 106 3 875104340 +727 98 4 883710152 +537 518 4 886031105 +910 174 5 880822060 +886 566 3 876033461 +276 1273 2 874795823 +642 1058 3 886132139 +838 255 4 887063937 +711 727 4 879993629 +865 108 1 880143680 +803 538 4 880054834 +836 324 4 885753595 +655 1118 3 887473605 +95 50 5 879197329 +561 651 3 885807574 +648 220 3 882212039 +846 63 3 883950220 +868 378 2 877108056 +841 258 5 889067076 +650 290 2 891387979 +889 3 4 880177664 +102 684 2 888802176 +482 313 5 887643146 +892 159 4 886609977 +843 196 2 879446806 +937 303 4 876762200 +655 279 3 888685989 +934 630 4 891192285 +846 82 2 883948089 +542 249 4 886532432 +102 1076 2 883748527 +805 357 5 881697713 +620 151 4 889988196 +862 546 4 879302944 +787 351 3 888979657 +639 14 5 891239813 +858 9 5 880932449 +779 294 5 875501334 +194 712 3 879555147 +796 655 3 893048115 +825 840 4 880757103 +727 252 2 883709438 +620 758 2 889987073 +378 51 3 880333195 +824 243 1 877021002 +885 365 3 885714431 +777 652 5 875980670 +45 24 3 881014550 +748 118 2 879455040 +798 181 5 875295772 +421 509 2 892241532 +683 127 4 893286501 +934 712 4 891196564 +771 173 4 880659894 +809 322 3 891037069 +817 9 3 874815836 +406 462 5 879445562 +751 655 3 889133377 +932 493 5 891249767 +894 30 4 882404250 +530 470 3 891568895 +916 257 3 880843401 +932 228 4 891251442 +796 195 5 892675424 +894 718 3 885428386 +239 528 5 889178562 +932 520 4 891249794 +41 50 5 890687066 +329 534 3 891656639 +642 172 5 885604299 +59 507 4 888204877 +709 295 3 879847731 +389 367 4 880086820 +436 427 3 887769105 +905 751 3 884983034 +887 455 5 881378620 +693 546 1 875483234 +940 183 3 885921422 +551 17 5 892784942 +911 173 5 892838677 +250 469 4 878091772 +605 187 5 879425432 +863 895 5 889289385 +460 245 3 882910657 +881 194 3 876538185 +155 322 2 879371261 +798 1446 4 875914898 +690 69 5 881179293 +650 520 4 891369759 +938 259 2 891356282 +724 323 2 883757874 +608 42 5 880406168 +894 270 3 879896141 +514 199 3 875463351 +648 742 5 882211175 +545 50 5 879898644 +905 1051 2 884984329 +577 294 4 880469903 +933 39 3 874854100 +296 1251 5 884196469 +617 17 1 883789507 +294 21 3 877819897 +653 1035 2 880153099 +655 196 3 888685556 +919 880 3 885059601 +642 1032 4 886569012 +22 731 3 878887116 +180 235 4 877127758 +864 393 3 888889129 +934 449 4 891194900 +784 302 5 891386988 +782 752 4 891497793 +757 118 3 888444920 +870 427 4 880584516 +429 528 4 882385034 +897 25 2 879993346 +533 627 2 879439593 +151 664 5 879524713 +846 463 5 883948222 +910 597 3 881421048 +833 819 1 875133458 +378 956 3 880332034 +435 585 3 884133447 +468 55 5 875287615 +930 14 4 879535392 +492 474 5 879969879 +90 516 5 891383987 +286 1133 4 877534137 +645 288 3 892051741 +13 218 1 882396869 +840 463 5 891205287 +804 928 4 879443736 +864 58 5 888887739 +276 949 3 874836725 +868 1240 5 877107284 +429 71 3 882385705 +806 70 2 882388628 +109 50 5 880563331 +932 212 4 891249109 +805 549 3 881696759 +734 705 4 891023131 +838 487 4 887067126 +268 840 2 875744357 +846 97 4 883949255 +619 293 3 885953804 +502 307 4 883701980 +898 328 2 888294567 +543 144 4 874863269 +814 447 3 885411030 +805 82 3 881694854 +807 1274 3 893083179 +659 559 1 891386641 +307 121 1 879114143 +524 60 5 884634938 +416 303 4 876696643 +299 354 4 888854746 +145 544 4 875271312 +933 164 2 874854461 +328 610 3 886036967 +330 384 2 876547813 +553 483 5 879948423 +455 736 3 879112460 +872 975 4 888479654 +267 265 5 878972903 +758 319 4 880672321 +504 100 5 887831486 +536 205 5 882360424 +555 13 5 879964092 +934 89 5 891191157 +618 214 2 891308176 +657 7 3 884239057 +896 952 4 887159012 +798 828 4 875637986 +91 79 5 891439018 +756 151 4 874830550 +934 170 4 891190744 +224 147 3 888103646 +367 217 5 876690021 +870 88 2 879270213 +562 148 5 879195442 +864 509 5 888887944 +883 496 2 891755066 +622 427 4 882592178 +903 273 3 891031203 +363 1013 3 891499875 +645 135 5 892054707 +479 205 3 879461015 +722 117 4 891281132 +774 518 1 888556746 +650 145 3 891387953 +918 381 5 891988123 +896 129 4 887159531 +862 979 5 879303409 +837 277 2 875722169 +144 212 5 888105993 +537 19 4 886030051 +393 769 4 889731593 +329 423 4 891656237 +578 300 4 887229386 +405 550 2 885547909 +894 124 5 881625708 +883 237 3 891717963 +325 172 4 891478851 +179 347 3 892151064 +655 559 2 887472965 +896 164 4 887159321 +478 433 3 889396330 +897 125 4 879993314 +916 367 3 880845451 +222 597 1 877564076 +271 735 4 885849140 +552 111 3 879222238 +577 216 4 880472124 +398 237 3 875653168 +880 151 4 880242848 +929 28 4 879640084 +26 1013 1 891383836 +452 480 5 875261261 +323 273 4 878739355 +896 43 3 887161171 +758 77 3 882054049 +751 597 2 889299290 +472 235 5 875978994 +933 834 1 874938878 +788 828 3 880869396 +889 165 3 880178131 +881 748 3 876535544 +880 63 3 880174926 +886 214 3 876032072 +591 954 3 891031403 +877 222 2 882678484 +880 636 3 880167918 +723 150 3 880499050 +524 647 3 884634911 +332 472 3 887938277 +887 409 4 881378971 +868 55 5 877106505 +286 402 3 877534216 +932 96 4 891250060 +926 272 5 888351623 +650 176 4 891369798 +847 603 3 878939876 +279 945 5 879647064 +738 100 2 875349968 +747 172 5 888639222 +393 819 3 889731592 +487 1220 4 884050879 +795 583 4 883250168 +817 288 4 874815593 +943 204 3 888639117 +655 1628 2 888729735 +870 579 2 879902161 +586 232 3 884058809 +830 510 4 891561673 +263 141 5 891299877 +648 364 5 884882528 +870 313 4 883405554 +540 762 4 882157545 +698 214 1 886367874 +722 148 3 891281710 +916 369 2 880843906 +653 393 2 880152426 +747 1246 1 888733415 +774 211 3 888555897 +774 62 2 888557520 +537 792 3 886030805 +804 167 3 879445956 +805 338 1 879970974 +883 265 3 891696864 +801 358 4 890333094 +645 194 4 892053644 +773 324 3 888538269 +472 95 3 875980209 +603 474 4 891956803 +808 264 5 883949986 +922 834 1 891455565 +871 1434 3 888192689 +942 328 3 891282503 +537 978 2 886029841 +870 692 2 879270213 +943 132 3 888639093 +162 294 3 877634955 +85 162 2 879454235 +543 562 2 877547004 +601 406 2 876350998 +539 301 5 879787770 +828 462 3 891036630 +919 423 5 875374032 +490 289 1 875427021 +484 89 4 891195298 +430 64 4 877226130 +543 432 4 874862967 +727 1615 1 883709884 +577 941 4 880475435 +582 988 1 882960718 +846 737 4 883949771 +307 708 4 879283322 +918 82 3 891988521 +618 186 4 891307224 +919 287 4 875289611 +943 56 5 888639269 +705 423 2 883427904 +407 152 4 875043826 +886 64 5 876031573 +838 121 2 887064248 +919 527 4 875373416 +405 174 5 885544739 +279 242 3 877756647 +932 510 4 891249146 +784 268 3 891387501 +918 630 3 891988672 +617 164 1 883789664 +532 143 4 874788755 +916 462 4 880844058 +807 318 5 892528062 +935 546 4 884472743 +870 268 3 881000751 +629 881 3 880116023 +715 50 5 875961998 +234 1003 2 892334267 +747 169 5 888640305 +554 276 3 876548886 +860 332 2 880829226 +884 921 5 876859277 +840 11 3 891204921 +189 297 3 893264023 +454 732 4 888267560 +848 176 4 887037980 +804 250 4 879441000 +307 831 1 879114143 +704 382 4 891397571 +889 514 1 880178158 +807 449 5 893082893 +831 508 3 891354947 +823 127 5 878438357 +741 172 5 891018339 +481 144 4 885828732 +320 597 3 884748774 +318 451 4 884497546 +533 70 4 879191938 +771 128 2 880659482 +881 596 3 876536241 +883 396 2 891695743 +815 204 4 878693871 +896 654 3 887159895 +747 17 4 888733387 +650 614 3 891385876 +102 316 3 889362833 +870 1221 3 881001249 +592 789 4 882956419 +850 318 5 883194737 +848 647 5 887039329 +582 117 3 882961000 +883 530 3 891696823 +880 1049 3 892959087 +867 257 4 880078090 +772 294 4 877533625 +894 347 4 885427952 +758 386 3 881978259 +907 79 5 880160008 +13 870 3 882397271 +841 751 3 889066880 +645 39 3 892054324 +583 602 4 879384471 +568 482 4 877907781 +854 197 4 882813797 +862 633 5 879304722 +896 1028 2 887160554 +293 432 5 888906516 +505 755 3 889334248 +617 441 3 883789590 +704 494 5 891397948 +883 989 5 891692168 +936 717 2 886833325 +807 95 4 892529185 +303 116 5 879466771 +910 210 4 881421309 +642 794 4 886568429 +764 939 4 876245880 +846 48 5 883949046 +449 86 4 880410599 +758 196 4 881977229 +194 654 2 879522445 +890 176 4 882404851 +707 654 4 880061578 +776 7 4 891629077 +806 690 2 882384589 +931 845 3 891036883 +673 340 5 888786969 +851 349 3 890862917 +938 258 5 891353196 +834 13 2 890862648 +880 1047 3 880175157 +890 187 5 882403221 +919 953 3 875921051 +369 196 5 889428642 +854 121 1 882813074 +653 1087 2 880153207 +534 276 5 877807873 +463 985 1 877386923 +659 482 4 891383674 +936 358 4 886831820 +399 1060 3 882510269 +862 969 5 879304410 +463 936 2 890460826 +560 197 4 879975613 +897 120 3 879993886 +698 419 3 886367474 +600 759 2 888453145 +256 934 3 882163730 +642 64 5 885602482 +727 616 2 883713348 +346 195 5 874948703 +242 275 5 879741196 +498 1404 3 881957054 +577 121 5 880470258 +156 100 4 888185677 +907 475 3 880158692 +862 132 5 879304980 +495 135 3 888633011 +479 62 3 879462007 +479 250 4 879460393 +416 544 2 888700566 +705 230 4 883428083 +894 591 4 880416137 +763 79 5 878919083 +874 20 3 888632615 +661 31 3 876017533 +881 712 3 876539156 +693 402 3 883975558 +842 874 5 891218060 +891 595 3 883489668 +733 1117 2 879536659 +922 80 3 891452817 +773 174 3 888539962 +889 509 2 880180650 +874 127 5 888633310 +699 202 3 878883112 +429 1112 3 882386785 +660 87 2 891199133 +867 300 2 880077751 +877 14 5 882677048 +933 435 4 874854251 +497 1615 3 879310650 +627 693 2 879530205 +826 511 3 885690482 +281 259 3 881200789 +848 566 4 887046823 +821 71 5 874793969 +899 195 4 884121884 +176 273 4 886048230 +556 173 3 882136162 +876 22 4 879428451 +899 1 3 884120105 +900 117 2 877833029 +658 923 3 875148059 +940 164 2 885921915 +618 55 2 891308063 +514 568 4 875462689 +741 186 5 891455317 +807 748 4 892527267 +889 276 4 880177104 +287 742 3 875334196 +748 427 4 879454405 +930 411 1 879535272 +65 194 4 879217881 +776 860 3 892920381 +908 7 3 879722334 +422 441 4 879744183 +312 197 4 891698764 +60 419 3 883327612 +881 14 1 879051971 +892 318 5 886607641 +438 300 4 879867960 +916 650 4 880844711 +387 665 2 886481851 +521 231 2 885254307 +611 750 5 891636222 +880 342 3 892958275 +932 491 5 891249621 +846 661 4 883948840 +527 423 3 879456248 +870 606 4 875679687 +758 902 4 889328320 +577 819 3 880470604 +902 257 3 879464964 +886 550 4 876034228 +75 129 3 884049939 +1 28 4 875072173 +882 407 2 879863831 +867 855 5 880078604 +880 1012 4 880166827 +827 312 2 882809814 +934 965 4 891192914 +164 248 4 889402030 +847 928 3 878939375 +900 205 4 877833712 +632 22 4 879457394 +916 92 5 880844291 +927 25 3 879177403 +891 405 3 883489646 +721 682 3 877137285 +700 651 4 884493712 +194 575 1 879554453 +880 226 4 880167806 +942 1221 4 891282783 +768 237 4 883834705 +642 940 2 886569847 +706 237 4 880997482 +903 175 4 891032760 +943 625 3 888639427 +59 53 5 888206161 +659 170 3 891045943 +532 99 5 893119438 +786 419 4 882843312 +117 164 5 881011727 +25 82 4 885852150 +872 628 4 888479151 +625 652 4 891262983 +296 187 5 884198772 +785 269 5 879438537 +454 511 3 881960173 +691 322 3 875542976 +918 197 2 891987387 +796 243 3 892612354 +178 173 5 882826306 +382 514 3 875946730 +600 82 5 888451583 +592 748 2 882607434 +941 300 4 875048495 +643 408 4 891445176 +655 915 4 891817435 +805 419 4 881705766 +795 747 3 883252630 +707 134 4 886286004 +889 59 4 880177906 +711 378 4 879995099 +535 134 5 879619144 +878 740 2 880865813 +918 965 4 891988276 +798 1284 3 875637744 +763 143 3 878918332 +889 763 4 880177502 +848 945 5 887043821 +782 348 4 891498213 +861 70 4 881274672 +927 195 4 879183245 +711 729 3 879994413 +754 307 3 879451191 +618 713 4 891307224 +646 352 1 888529153 +327 952 2 887819354 +730 1 4 880310285 +435 101 3 884132184 +943 1330 3 888692465 +847 507 3 878940161 +405 641 1 885546201 +854 11 5 882814570 +409 663 4 881107251 +121 1 4 891388475 +291 293 5 874833668 +872 273 3 888479274 +882 7 4 879862652 +464 12 5 878355167 +887 368 5 881381679 +308 583 4 887737483 +624 595 3 879793408 +909 339 4 891919406 +389 412 3 880089170 +886 95 5 876032531 +34 899 5 888603123 +865 95 1 880235059 +496 1041 1 876068615 +402 100 5 876266904 +501 273 4 883347975 +508 215 3 883776977 +125 82 5 879454386 +132 1019 3 891278867 +796 477 2 892660465 +682 172 5 888522417 +204 9 5 892513979 +537 501 3 886032000 +100 898 4 891375454 +267 576 3 878973760 +532 754 4 892854961 +117 271 4 880124397 +908 124 3 879722694 +919 275 5 875288522 +851 480 5 875731406 +896 473 2 887161393 +843 521 2 879446359 +891 126 5 891638601 +887 1084 5 881377893 +870 490 3 886883147 +691 205 5 875543395 +880 467 4 880241821 +500 1315 4 883865463 +456 483 4 881372911 +836 260 2 885753691 +666 566 3 880314500 +532 453 4 888631524 +94 1007 4 891724282 +49 208 4 888068715 +786 703 3 882843190 +886 1014 5 876034371 +862 185 5 879304571 +665 248 4 884292068 +653 188 5 878854145 +706 125 5 880997172 +279 1274 3 875314001 +383 604 5 891193042 +447 474 3 878856022 +545 386 2 884134780 +561 531 1 885807215 +655 1636 4 887473570 +814 635 2 885411749 +561 357 3 885807612 +3 340 5 889237455 +715 692 3 875963836 +796 125 4 892660465 +942 520 5 891282963 +887 405 5 881378439 +943 569 2 888640186 +56 1074 3 892683941 +442 738 3 883389164 +621 386 3 874963126 +917 763 3 882911480 +440 245 4 891548470 +230 627 5 880484661 +932 705 4 891250017 +709 597 4 879848824 +524 117 3 884322113 +747 649 3 888640916 +884 14 4 876858946 +548 127 5 891043008 +553 170 4 879948806 +933 597 1 874939230 +686 603 5 879546847 +435 596 4 884132184 +747 276 5 888639989 +38 678 5 892428658 +887 25 2 881378537 +658 171 4 875147448 +758 1047 3 882054250 +880 732 4 880174652 +869 25 2 884491767 +860 894 2 883678286 +699 117 4 879148051 +840 91 5 891208998 +934 199 4 891191778 +907 291 5 880158913 +101 595 2 877136391 +886 42 5 876032248 +451 748 4 879012550 +814 201 2 885410957 +606 180 4 880926245 +896 710 4 887159657 +934 1065 2 891191108 +804 118 4 879443900 +771 496 5 880659606 +840 172 3 891204627 +705 393 4 883427716 +705 576 4 883428128 +943 546 4 875502229 +251 185 5 886271884 +922 15 4 891453122 +788 402 3 880870544 +21 858 1 874951858 +834 886 4 890860566 +889 1239 1 880182815 +847 66 3 878941398 +932 488 5 891250282 +916 713 3 880843636 +707 9 5 880059647 +862 1050 5 879305351 +495 577 1 888637477 +401 203 4 891033288 +291 739 3 875087334 +927 56 4 879184534 +650 71 3 891386755 +932 890 1 891248778 +574 305 3 891279012 +258 300 5 885700877 +437 558 3 880142365 +910 181 1 880821033 +927 477 3 879176876 +358 221 5 891269077 +246 477 4 884921767 +650 559 3 891387520 +110 569 4 886988321 +913 50 4 880758348 +846 576 4 883950186 +232 44 4 888549412 +924 511 5 885457827 +568 524 2 877907281 +727 371 2 883712193 +840 157 4 891208998 +916 582 4 880844728 +244 383 3 880608957 +746 186 4 885075497 +429 462 4 882386662 +528 79 5 886101911 +334 403 4 891547016 +49 225 2 888068651 +49 256 4 888066215 +745 127 2 880122986 +878 1100 3 880869418 +266 325 1 892257419 +927 412 1 879182833 +411 202 4 891035663 +641 203 4 879370337 +846 523 4 883948048 +921 538 4 884673311 +912 517 4 875966458 +705 283 5 883427048 +411 174 4 892845634 +892 27 4 886610682 +536 549 3 882360283 +867 188 4 880078796 +758 289 2 880672402 +936 19 5 886832092 +916 475 4 880843334 +743 242 4 881277267 +934 483 3 891190609 +26 328 2 891348011 +842 258 3 891217835 +591 8 3 891031203 +763 190 4 878917384 +248 187 3 884535046 +886 762 5 876033228 +883 517 4 891694218 +664 318 5 876525044 +877 61 5 882677244 +524 174 4 884634911 +334 214 3 891549045 +372 1212 4 876869932 +843 357 2 879446502 +788 22 5 880868513 +892 227 4 886609520 +798 944 4 875914573 +634 1011 4 875729633 +432 475 4 889416147 +790 721 3 885157017 +766 739 2 891310241 +161 118 2 891172421 +934 811 4 891192145 +504 622 4 887910487 +802 194 4 875986155 +727 748 4 883708119 +804 156 4 879444781 +631 877 2 888465131 +693 1090 4 875483564 +585 14 4 891282808 +541 826 3 883871755 +846 768 4 883949508 +899 203 4 884121513 +110 67 3 886989566 +922 450 4 891447876 +682 1153 3 888517869 +943 385 4 888639308 +910 831 1 881421142 +812 332 4 877625368 +932 612 5 891249620 +26 1010 2 891377609 +77 191 3 884752948 +846 1249 3 883949771 +195 109 3 878019342 +653 265 4 878866995 +896 1681 3 887160722 +889 42 5 880180191 +699 1009 4 878882668 +470 124 3 879178486 +940 191 4 885921710 +705 820 3 883427817 +707 242 4 879439088 +892 28 4 886607845 +276 541 3 874792520 +655 1638 3 887488947 +145 1011 5 888398162 +922 391 3 891450840 +328 566 5 885047374 +939 257 5 880260805 +893 288 3 874827526 +899 568 4 884121720 +763 819 2 878915766 +783 895 4 884326787 +560 1016 3 879976216 +275 228 4 876198296 +919 447 4 875372903 +878 663 5 880868635 +708 1028 2 877326217 +237 64 5 879376671 +815 443 3 878695055 +918 132 4 891986904 +773 153 5 888539425 +844 405 2 877382189 +690 154 3 881179222 +665 535 4 884291094 +606 63 3 880927666 +484 172 5 891195298 +403 50 5 879785736 +931 508 4 891036696 +697 291 5 882622481 +593 163 4 876506675 +374 193 4 883628973 +774 88 1 888556193 +842 349 3 891218459 +342 236 3 875318536 +788 175 3 880868401 +933 69 4 874854009 +927 761 3 879198085 +407 498 4 875046427 +416 603 5 893212484 +11 107 4 891903276 +617 515 3 883788782 +84 591 4 883451664 +795 226 3 883251800 +932 527 4 891249710 +854 1284 2 882812961 +916 233 3 880845391 +908 172 3 879722780 +826 190 3 885690636 +749 162 3 878848333 +906 991 3 879434410 +840 208 4 891204295 +927 71 5 879190473 +880 257 5 880167521 +228 275 3 889388521 +932 47 4 891250142 +525 181 4 881085740 +708 1040 2 877326037 +630 195 4 885667968 +94 355 2 891725090 +488 321 3 891293152 +592 681 1 882607780 +723 50 4 880498889 +596 222 3 883539402 +826 568 4 885690636 +752 678 3 891208299 +194 399 2 879528454 +938 250 3 891356532 +561 206 3 885809506 +686 168 5 879547129 +936 257 3 886832808 +808 748 4 883949873 +497 249 5 879309734 +57 717 4 883697960 +59 1120 1 888203900 +788 623 3 880870936 +804 245 4 879441132 +645 181 4 892053483 +914 216 3 887122324 +542 48 5 886533452 +653 447 2 880606620 +880 570 3 880167965 +907 506 5 881030348 +880 657 4 880243629 +653 238 1 878866604 +731 215 5 886182555 +838 257 5 887064014 +908 558 4 879722667 +796 511 4 892676155 +804 523 5 879441476 +723 433 3 880499019 +620 699 5 889988121 +180 356 3 877442079 +655 716 2 888475101 +807 417 3 892979746 +890 521 5 882916429 +410 352 3 888626682 +599 220 5 880951479 +624 870 4 879793155 +753 269 5 891399367 +878 549 4 880869303 +526 272 5 885681860 +897 179 3 879991069 +771 95 4 880659606 +899 147 2 884120106 +894 312 3 883518949 +623 70 4 891034950 +777 212 5 875980348 +577 452 3 880475644 +358 1159 5 891269617 +279 576 3 875312441 +106 82 3 881453290 +927 1415 4 879196853 +833 1070 5 875038987 +928 268 5 880935814 +770 410 4 875973047 +846 421 4 883948173 +435 559 3 884132342 +450 504 5 882377590 +9 385 5 886960055 +813 893 3 883752708 +416 1229 2 893210527 +835 187 4 891033078 +731 237 4 886185851 +933 204 3 874854723 +655 1137 3 888474807 +795 210 4 880567593 +874 521 5 888633311 +463 690 4 877384802 +450 63 4 882469941 +846 1220 2 883950434 +711 905 3 886559521 +70 449 2 884065247 +862 45 4 879304721 +693 28 2 875482280 +657 327 1 884238247 +864 225 3 878179608 +730 1012 5 880310426 +600 79 4 888451582 +639 835 4 891240543 +429 663 4 882385358 +846 728 4 883949422 +916 583 4 880845690 +710 277 4 882063967 +911 228 4 892841220 +705 173 2 883427640 +772 751 3 889028876 +493 170 3 884131089 +805 145 2 881695445 +834 515 5 890862231 +935 313 5 884471835 +934 82 4 891194221 +889 695 3 880179586 +1 172 5 874965478 +327 66 3 887819582 +353 313 5 891402757 +924 153 4 886327689 +883 59 5 891692982 +479 238 4 879461039 +894 1403 3 882404641 +871 905 3 888192744 +679 173 5 884486966 +846 68 3 883948765 +762 111 2 878719371 +867 678 3 880078004 +644 125 4 889076851 +703 328 3 875242303 +226 92 2 883889102 +417 102 3 879648656 +901 222 4 877126648 +407 71 3 875046460 +393 210 4 887747108 +846 385 5 883949156 +660 679 2 891201069 +840 650 4 891209364 +843 596 3 879448486 +936 1068 4 886832904 +896 966 4 887159531 +152 451 5 882476911 +889 164 4 880179757 +826 625 3 885690442 +416 1286 5 893213549 +913 131 5 881367150 +766 443 3 891309844 +897 1531 4 879991933 +401 634 1 891033319 +881 205 4 876538465 +933 154 2 874938389 +885 172 3 885715888 +407 408 4 875552445 +545 1091 3 879901483 +738 154 3 875353105 +883 251 5 891692657 +468 161 3 875296309 +931 181 4 891036786 +883 922 5 891717963 +487 789 4 883446757 +915 750 4 891030070 +506 172 5 885135819 +669 64 4 891260440 +615 683 1 879447642 +847 455 2 878775647 +943 227 1 888693158 +234 190 3 892079190 +437 319 5 881001538 +804 431 4 879442707 +929 204 4 879640126 +536 117 4 882318415 +537 284 3 886030347 +906 1011 4 879435365 +901 826 2 877129839 +801 681 1 890332820 +887 568 2 881379566 +643 436 4 891449870 +942 689 3 891282644 +634 760 3 879787621 +501 93 4 883347891 +752 1243 4 891207939 +854 89 4 882814467 +764 318 5 876244991 +733 1132 4 879536488 +805 417 2 881705918 +861 10 3 881274739 +651 269 5 880126096 +925 288 5 884633224 +705 15 3 883427297 +716 367 4 879796942 +416 1168 4 886318953 +130 239 4 878538071 +922 62 3 891450768 +286 856 2 877533698 +847 135 4 878941144 +888 202 4 879365072 +626 292 1 878771281 +805 155 1 881696923 +881 172 4 876538986 +934 703 4 891195437 +900 136 2 877833712 +301 217 3 882079503 +727 451 5 883712681 +825 932 3 880756862 +893 323 2 874827595 +877 371 5 882677935 +819 533 4 884618086 +674 292 4 887762415 +815 313 5 884222552 +23 387 3 874786098 +178 339 3 892239822 +892 405 4 886609977 +356 288 4 891406076 +861 116 4 881274739 +463 1216 3 877387935 +727 538 3 883708066 +864 380 3 888889744 +758 239 3 881976574 +885 179 1 885714226 +122 1074 4 879270901 +561 69 1 885807215 +940 357 4 885921219 +639 509 3 891239271 +823 102 4 878438807 +469 510 4 879523802 +393 866 3 889728074 +264 517 5 886123358 +409 529 5 881109019 +881 227 4 876538953 +691 79 5 875543025 +591 856 4 891040366 +399 182 4 882342570 +519 682 1 883248278 +40 302 3 889041283 +918 199 3 891986846 +47 1022 3 879440429 +933 62 1 874854994 +714 118 5 892777877 +561 514 4 885807713 +834 1017 2 890862563 +847 228 4 878940383 +13 135 5 882139541 +712 553 5 874729850 +24 97 4 875323193 +130 293 5 874953769 +236 520 4 890116095 +299 89 5 878192756 +892 213 3 886608942 +892 447 3 886610174 +916 121 3 880843864 +436 234 3 887769471 +923 325 4 880387081 +655 1284 2 887477511 +880 62 3 880168411 +908 496 5 879722361 +889 1194 4 880180817 +398 86 3 875726010 +923 257 5 880387946 +151 610 5 879528607 +106 318 5 881449830 +833 1427 3 875131974 +749 566 3 878849857 +935 1048 3 884472465 +848 432 2 887038022 +653 144 3 878867346 +698 607 2 886368545 +665 265 3 884294716 +18 133 5 880130713 +222 1291 2 877564031 +922 122 2 891455788 +230 549 5 880485380 +711 49 4 879994903 +871 147 5 888193136 +919 535 3 885059887 +911 514 3 892839454 +815 732 5 878694106 +930 274 4 879534803 +942 210 4 891283184 +621 8 5 874965407 +675 235 1 889490151 +651 302 5 879348880 +417 496 3 879647040 +796 147 5 893048410 +933 42 1 874853635 +399 100 3 882509855 +892 523 5 886607711 +886 833 5 876033460 +838 254 3 887065606 +72 23 4 880036550 +864 24 5 888887502 +495 448 5 888634896 +916 960 4 880844861 +624 301 3 879792131 +886 692 3 876032225 +880 39 4 880167731 +922 68 4 891450586 +942 480 5 891282985 +714 323 4 892777903 +647 136 5 876534131 +766 465 3 891310281 +586 79 4 884058986 +250 81 4 878092143 +207 1023 3 875506634 +584 541 3 885774508 +664 792 4 876524474 +425 4 4 878738290 +907 1028 5 880158913 +610 135 3 888703730 +806 1012 4 882385278 +312 511 5 891699156 +830 431 3 891561737 +883 794 4 891696750 +474 492 4 887925838 +906 237 4 879435469 +709 515 4 879846816 +835 225 2 891032898 +435 177 5 884131267 +897 826 4 879993578 +833 931 4 879818760 +906 240 3 879435758 +888 237 5 879365449 +548 1 4 891043182 +693 636 1 875483473 +669 196 3 892550234 +859 1326 4 885775859 +533 1086 3 880402916 +936 1 4 886832453 +404 876 2 883790286 +777 288 4 875979201 +745 936 1 880122907 +151 202 5 879542753 +804 527 4 879441752 +894 1255 4 879896949 +868 520 4 877103756 +884 515 4 876858914 +875 180 5 876464967 +919 125 4 875289113 +249 129 5 879571883 +558 285 5 879436396 +795 926 2 880561783 +85 715 4 882995967 +538 50 5 877107656 +863 343 5 889289328 +841 302 5 889066959 +804 444 4 879444743 +456 1551 3 881374193 +897 288 5 879988800 +924 313 4 886065805 +903 234 4 891033808 +475 303 1 891451341 +882 582 5 879876573 +916 211 4 880844395 +747 555 2 888734152 +936 1160 5 886833795 +425 300 2 878737512 +851 1023 3 875730601 +621 751 4 883799651 +782 1667 3 891500110 +935 255 4 884472247 +880 329 4 892958250 +852 109 3 891036505 +796 530 3 893048410 +878 45 3 880867665 +370 14 3 879434707 +896 461 3 887159069 +823 408 5 878437589 +705 161 5 883428028 +880 328 4 880166557 +328 38 3 885049275 +435 742 4 884132840 +682 288 4 888516814 +843 222 3 879443837 +901 204 5 877131307 +870 89 3 879539936 +23 176 3 874785843 +842 302 5 891217834 +787 749 4 888979657 +936 1199 4 886833148 +816 300 4 891710724 +749 419 5 878847765 +823 651 5 878438179 +889 474 4 880177941 +932 389 3 891251331 +854 222 4 882812492 +846 787 4 883949335 +890 186 2 882916276 +249 123 3 879640261 +363 260 2 891494049 +299 83 5 878192344 +846 614 5 883948765 +544 327 2 884795516 +916 69 4 880844694 +328 281 4 885048930 +381 483 5 892696698 +833 357 4 875038709 +864 77 4 888891627 +545 449 2 879899497 +825 1013 2 881185672 +536 73 4 882360894 +833 447 5 875224309 +870 223 4 878737979 +716 604 3 879795071 +716 193 5 879796596 +887 289 5 881380623 +87 56 4 879876524 +840 69 4 891204535 +592 350 4 885280124 +267 2 3 878972463 +109 385 4 880577961 +497 177 4 879310762 +936 756 4 886833052 +803 260 3 880055454 +877 739 4 882678105 +943 468 2 888639575 +886 512 1 876031526 +488 300 4 891293606 +749 969 4 878848243 +276 1010 3 874786784 +830 568 4 891561607 +315 1084 4 879799423 +848 1063 5 887038197 +301 655 1 882076187 +705 181 5 883426892 +912 64 4 875966027 +682 527 3 888517168 +389 675 3 880165702 +126 881 5 887938392 +693 135 4 875482524 +894 463 4 882404430 +899 8 4 884121572 +541 173 5 883865534 +922 11 5 891450401 +345 815 3 884991546 +931 306 4 891036026 +661 121 2 876037619 +907 476 4 880159134 +916 209 3 880844017 +650 159 3 891370093 +266 276 3 892258004 +254 405 3 886471522 +916 1070 4 880844202 +86 259 4 879570423 +800 237 4 887646980 +871 11 3 888193274 +782 293 2 891499278 +727 385 3 883710994 +795 222 3 880558122 +457 202 4 882398275 +704 889 3 891397015 +407 121 4 876343028 +880 1044 4 880242577 +904 1152 4 879735551 +890 657 5 882403379 +715 183 3 875964491 +846 581 4 883950129 +257 1137 5 882049896 +920 268 3 884220163 +896 774 3 887159973 +338 169 5 879438196 +378 1147 4 880055101 +49 904 2 888065527 +758 576 4 882055054 +883 1288 4 892439357 +889 322 3 880176717 +911 197 4 892842771 +650 162 3 891382928 +907 151 4 880159222 +546 567 4 885141502 +868 679 3 877109748 +146 286 3 891457493 +642 58 3 886131744 +502 266 3 883702255 +901 117 4 877127196 +405 385 1 885547910 +606 951 2 880928181 +880 992 4 892959014 +318 629 4 884497236 +916 693 3 880844087 +634 284 4 875729668 +870 7 4 875051072 +533 298 4 882195203 +823 136 5 878438206 +932 755 2 891251822 +677 351 2 889399113 +249 658 4 879572944 +896 307 3 887157636 +607 482 5 883879556 +709 379 3 879848209 +716 430 5 879796620 +934 972 3 891225716 +889 482 4 880178367 +711 254 2 879992038 +431 303 4 877844183 +419 197 5 879435749 +595 547 4 886922069 +880 122 3 880175208 +881 259 3 876535599 +646 895 3 888528978 +588 1098 4 890026656 +903 238 5 891033502 +897 368 1 879993886 +805 402 2 881697013 +334 14 3 891544810 +731 720 3 886184771 +423 10 4 891395734 +66 257 3 883601355 +221 288 3 875244232 +885 204 4 885713294 +641 198 5 879370028 +943 234 3 888693184 +816 323 4 891711324 +566 388 3 881651512 +136 258 5 882693234 +758 139 4 882053834 +486 532 4 879874871 +659 187 5 891331825 +854 275 4 882814571 +642 420 4 885606581 +313 490 4 891016280 +901 409 3 877129911 +314 476 5 877886921 +738 152 4 875350265 +872 871 3 888479677 +880 184 4 880167843 +848 1065 2 887048154 +872 354 4 888478822 +716 505 4 879796381 +44 201 2 878347392 +44 31 4 878348998 +347 1244 3 881653300 +875 211 5 876465144 +757 1073 4 888466983 +825 290 4 880755869 +807 602 5 893083772 +624 326 3 891961210 +716 451 4 879796961 +943 72 2 888639814 +833 577 1 875135113 +460 283 3 882912316 +796 660 5 892690101 +709 233 3 879848511 +503 684 4 879454950 +650 489 3 891387277 +417 549 3 879647924 +13 756 2 886302858 +221 1016 3 875244713 +269 825 1 891456033 +451 258 4 879012343 +844 172 4 877387768 +712 143 5 874957306 +896 1112 3 887161393 +457 133 4 882547820 +279 823 3 875297456 +751 153 4 889133240 +634 988 1 875729217 +95 450 2 880572787 +640 770 4 874777658 +901 560 3 877131624 +895 748 3 879437712 +559 56 3 891034550 +843 211 2 879446255 +666 208 3 880139467 +833 179 5 875124181 +198 81 5 884208326 +13 8 4 882140001 +727 930 3 883709802 +795 755 3 883254564 +840 196 4 891205070 +83 50 3 880327590 +305 311 5 886307971 +860 393 2 885991129 +627 658 3 879530536 +286 215 3 889651630 +738 343 3 892938330 +13 285 5 882139937 +727 578 3 883711897 +682 216 4 888521381 +767 344 4 891462511 +669 313 4 891182948 +844 946 3 877388107 +623 153 3 891034757 +940 150 3 885921422 +903 211 5 891033808 +627 317 5 879530071 +320 96 5 884749255 +533 744 2 887721800 +541 1091 3 883874804 +692 1028 3 876953823 +17 269 4 885165619 +717 476 4 884642868 +405 1043 1 885547644 +537 493 4 886030707 +642 69 5 885602631 +758 566 4 881977488 +276 161 3 874792483 +892 49 4 886610173 +90 708 5 891385787 +340 378 5 884990891 +550 275 4 883425958 +208 393 4 883108398 +586 431 3 884061343 +307 50 5 879284239 +928 749 5 880936022 +936 866 2 886833099 +450 795 3 882468790 +907 496 4 880159666 +577 356 4 880474903 +490 24 4 875428765 +805 231 3 881694978 +796 333 5 892610876 +271 136 3 885848863 +518 508 3 876823266 +707 190 5 886286283 +833 646 5 875123427 +250 991 2 878089202 +768 272 5 884970491 +13 260 1 882140848 +771 652 4 880659507 +486 1142 5 879874725 +940 161 3 885921870 +500 182 2 883873556 +299 1379 3 877878080 +724 749 4 883757670 +782 1278 4 891499278 +925 559 3 884717963 +844 471 3 877381736 +472 50 5 875978010 +939 424 3 880262019 +912 192 4 875966349 +222 162 2 878184087 +833 1274 1 878078280 +542 50 4 886532209 +643 393 4 891450273 +197 751 3 891409290 +878 755 2 880870486 +851 1291 2 875730979 +890 675 5 882404541 +908 603 4 879722361 +889 519 4 880179757 +246 240 3 884923547 +650 265 4 891370031 +932 9 5 891249649 +377 294 5 891296356 +851 174 5 875731776 +763 464 3 878918960 +795 473 2 880561783 +737 137 5 884314694 +872 347 2 888478743 +716 566 3 879796010 +393 302 4 891364609 +118 100 5 875384751 +802 436 4 875985686 +785 294 4 879438705 +933 117 2 874939157 +60 15 4 883328033 +450 628 4 882377590 +807 118 4 892529713 +118 5 2 875385256 +391 133 4 877398898 +507 181 5 889965997 +735 1012 2 876698897 +894 818 3 880416340 +768 762 1 883835210 +899 177 3 884122367 +887 1047 5 881378773 +877 475 4 882677085 +858 689 5 879459087 +757 69 3 888445768 +416 124 4 876697017 +749 380 3 878849586 +391 648 5 877399100 +82 134 4 878769442 +436 187 5 887768982 +913 171 3 880758348 +269 237 2 891446368 +923 294 4 880387081 +851 1675 3 884222085 +327 275 4 887747338 +776 607 4 892920221 +592 185 5 882956201 +695 678 4 888806292 +785 79 4 879438984 +561 185 4 885807173 +868 95 2 877108302 +686 23 5 879547177 +916 741 3 880843401 +812 300 5 877625461 +790 97 2 885155770 +387 232 2 886483289 +590 19 5 879438735 +154 152 4 879138832 +866 313 1 891220955 +622 176 4 882669851 +881 225 2 876536012 +446 340 2 879786691 +937 100 3 876769080 +45 826 3 881015386 +394 183 4 881130008 +897 546 4 879993489 +749 984 3 881073009 +863 750 4 889288973 +889 303 3 880176550 +826 96 5 885690600 +380 318 4 885478624 +841 316 4 889067313 +116 596 5 876452854 +927 755 5 879192381 +695 286 3 888805913 +7 561 4 891354611 +916 86 4 880844655 +901 403 2 877131086 +804 219 3 879445072 +399 404 3 882344684 +490 987 3 875428702 +804 603 5 879441937 +896 1119 3 887160040 +665 301 4 884290096 +683 678 1 893283948 +848 42 2 887040097 +472 338 4 892790531 +901 88 5 877132604 +650 173 5 891369520 +457 275 5 882393648 +498 527 3 881957757 +532 248 4 888635264 +587 292 3 892871141 +846 1221 3 883950220 +852 1615 2 891036457 +807 408 3 892528813 +561 133 3 885807888 +881 69 3 876537933 +887 105 3 881379009 +727 12 5 883710598 +889 524 4 880180650 +399 232 2 882350431 +894 698 4 882404669 +864 394 3 888890432 +738 234 4 875349850 +758 820 4 882054112 +458 619 2 886394778 +813 326 3 883752380 +843 422 2 879448431 +837 926 1 875722371 +882 420 5 879879807 +409 466 4 881107666 +895 283 4 879438028 +924 50 5 884371386 +308 121 3 887739471 +118 179 5 875384612 +881 234 3 876537870 +313 845 3 891016853 +633 300 4 875324233 +881 568 4 876539020 +617 427 4 883789042 +811 321 3 886377483 +796 607 4 892662964 +791 332 5 879448166 +553 657 5 879949212 +536 22 5 882359863 +622 218 3 882670057 +815 175 3 878694952 +911 194 4 892839929 +327 156 4 887747668 +535 1098 5 879618464 +483 228 5 878953485 +490 1012 3 875428416 +620 1219 3 889988069 +894 292 4 879896168 +825 370 3 889021180 +848 511 4 887037822 +207 805 3 882081278 +436 550 4 887771093 +92 233 3 875654732 +751 202 4 889133129 +385 132 4 879446235 +230 69 4 880484338 +85 325 2 879452386 +943 24 4 875502074 +768 235 2 885319496 +314 1297 4 877890734 +908 195 4 879722754 +679 588 3 884487825 +882 210 4 879867568 +658 960 4 875147873 +559 1401 3 891034172 +881 820 2 876537285 +286 345 4 884069337 +847 652 5 878941005 +907 272 5 885860093 +833 201 4 875134150 +10 610 4 877888613 +897 411 5 879993797 +268 1016 3 875742470 +405 1220 3 885546202 +698 174 3 886367337 +862 495 4 879305097 +500 1069 4 883876300 +280 276 5 891700664 +709 569 3 879848209 +901 118 3 877127250 +933 121 3 874855138 +5 419 3 875636815 +886 559 2 876033265 +885 29 1 885714487 +642 155 3 886568726 +749 637 1 878850456 +943 80 2 888640048 +782 936 3 891500110 +894 1009 4 880993709 +910 222 4 880822060 +889 159 3 880182295 +868 100 5 877103935 +627 193 5 879529767 +271 116 2 885847636 +758 312 3 883190351 +399 366 3 882345271 +760 1135 4 875668968 +472 866 5 875978600 +885 290 1 885712921 +815 479 4 878694106 +804 631 3 879444463 +557 739 3 881179539 +466 403 3 890284857 +249 93 4 879640194 +867 144 3 880078484 +552 300 4 879220610 +671 55 3 883546890 +863 316 5 889289419 +789 288 3 880331942 +200 139 3 884130540 +677 358 5 885191454 +749 234 4 878848044 +514 114 5 875462466 +751 227 4 889298892 +270 672 5 876956390 +883 479 5 891755017 +880 403 3 880167778 +907 697 5 880159982 +433 245 3 880585491 +908 100 4 879722427 +17 276 4 885272654 +548 164 5 891044446 +896 559 3 887160187 +843 530 3 879444670 +894 242 4 879896041 +363 496 4 891494563 +577 200 3 880475226 +817 222 4 874815835 +716 173 4 879797328 +643 194 4 891446652 +698 121 2 886368545 +554 70 4 876369382 +592 170 5 882955703 +798 105 3 875555000 +796 796 4 893047320 +890 151 5 882916941 +177 187 4 880131040 +834 9 3 890862311 +903 59 4 891466808 +452 164 4 875269386 +491 12 5 891189305 +870 235 3 885312790 +889 290 2 880181601 +929 50 4 878402162 +338 478 3 879438505 +927 64 5 879199250 +865 405 2 880144194 +846 470 5 883949200 +886 23 4 876031365 +873 875 1 891392577 +682 332 4 888518320 +655 22 2 888474424 +588 186 4 890024079 +758 332 4 886464043 +918 517 3 891987622 +639 516 4 891240678 +532 161 5 892519934 +892 601 5 886609149 +463 476 3 877385664 +653 1101 2 878866755 +870 583 2 879714351 +737 501 1 884314922 +815 705 5 878693183 +826 526 3 885690677 +932 496 4 891250169 +879 25 4 887761865 +835 134 3 891033927 +903 1098 5 891033606 +922 271 3 891445117 +883 198 5 891695570 +913 478 4 880824512 +59 28 5 888204841 +642 934 2 885606137 +880 187 5 880167671 +327 42 3 887746665 +891 181 3 891638601 +933 172 2 874939031 +577 402 4 880475318 +907 924 5 880159240 +929 484 3 879639969 +601 15 1 876347040 +846 194 4 883947630 +339 143 5 891034810 +44 633 3 878347633 +881 705 1 876537679 +711 622 4 879993997 +897 651 3 879990587 +875 423 5 876464967 +14 588 4 890881433 +897 760 5 879993609 +67 117 5 875379794 +848 97 5 887043607 +835 239 5 891034084 +782 895 4 891497964 +880 158 2 880175128 +62 191 5 879373613 +901 95 4 877131685 +838 354 4 892153360 +717 127 4 884715172 +930 50 2 879534410 +798 1509 3 875915155 +897 89 4 879990683 +916 206 3 880844597 +815 392 4 878697163 +694 238 3 875727306 +639 953 2 891239407 +796 284 3 892660954 +938 286 3 891356282 +119 258 2 887037225 +291 577 1 875086669 +823 183 4 878438403 +825 411 3 889021134 +936 1370 4 886833571 +389 494 5 879991411 +833 761 2 879818719 +800 181 4 887646203 +682 431 4 888520799 +852 407 3 891037778 +790 1040 2 884462954 +159 1132 5 880557584 +894 702 4 882404768 +423 292 4 891394504 +846 511 5 883947911 +758 841 3 882055193 +749 79 4 878848069 +621 795 1 874963273 +49 715 3 888069040 +458 83 4 886398071 +880 202 4 880174834 +561 617 4 885808738 +521 68 4 886061689 +509 309 2 883590609 +912 418 4 875966694 +883 151 5 892439523 +501 678 3 883346886 +909 86 5 891920125 +664 458 3 878091463 +704 58 3 891397366 +792 508 2 877910478 +890 152 4 882403299 +432 293 5 889415812 +881 1057 1 879052341 +857 328 3 883432301 +142 322 2 888640054 +786 197 3 882843431 +908 205 3 879722901 +788 65 4 880869584 +725 879 4 876106729 +687 324 2 884651648 +796 213 4 893047167 +864 288 5 878179381 +625 515 4 891263589 +201 7 3 884112201 +654 418 4 887864588 +919 70 4 875921442 +776 567 2 892920351 +896 660 5 887159872 +635 150 3 878879236 +653 571 1 880153406 +651 332 3 879348880 +805 959 2 881705327 +916 1194 4 880844753 +551 399 3 892785364 +934 131 4 891191778 +655 762 2 888984255 +222 64 5 878183136 +324 846 5 880575715 +774 708 2 888556893 +727 1028 2 883712016 +761 151 2 876190394 +828 20 2 891035969 +796 423 4 892690262 +928 134 5 880936742 +859 475 4 885776056 +788 167 3 880870582 +923 742 4 880387792 +510 873 3 887667780 +536 510 4 882359838 +887 204 5 881380067 +39 302 5 891400188 +868 7 5 877104157 +764 717 3 876243644 +796 283 3 892660322 +218 164 3 881288574 +844 176 3 877387933 +537 208 4 886031297 +943 449 1 888693158 +749 94 5 878849829 +716 161 3 879796651 +937 137 3 876769480 +405 1480 2 885549005 +378 97 5 880045612 +798 399 5 875638680 +488 205 4 891375784 +916 280 2 880843864 +659 521 5 891384499 +922 230 4 891447723 +815 527 5 878693830 +817 831 1 874816007 +712 95 4 874730552 +908 174 3 879722642 +846 623 1 883950889 +308 139 3 887741179 +506 324 1 877984213 +517 181 4 892660033 +403 405 5 879786747 +749 731 3 878848828 +796 672 3 893218485 +907 762 5 880159496 +704 639 2 891397667 +532 448 4 888635429 +777 196 5 875980306 +863 347 2 889289067 +420 690 5 891357271 +553 589 5 879948964 +854 132 5 882813877 +766 433 3 891309391 +373 131 4 877099968 +472 202 5 875979737 +632 194 4 879457712 +543 642 3 874863803 +556 482 5 882136440 +892 478 5 886608616 +655 57 3 887427743 +582 458 4 882961968 +449 1005 5 880410734 +588 735 5 890024196 +615 519 5 879448598 +558 269 4 879436396 +492 521 5 879969644 +405 1005 1 885549407 +771 114 4 880659539 +840 357 5 891204114 +711 228 3 879993997 +655 865 4 887523909 +560 50 5 879976109 +758 356 2 881977872 +886 578 4 876034205 +916 106 3 880843934 +878 512 5 880867709 +870 1073 5 875050748 +907 633 5 881030348 +763 99 4 878915765 +890 121 2 882915661 +472 419 4 875982337 +634 292 3 876170101 +409 326 3 881105077 +930 275 4 879534550 +48 428 4 879434608 +771 596 4 880659815 +70 946 3 884150691 +712 1040 4 874729682 +77 134 4 884752562 +890 185 5 882402301 +932 199 5 891249538 +936 294 3 886831679 +851 286 4 883148669 +819 286 5 879952508 +915 286 4 891030032 +654 785 4 887864976 +13 525 5 882140624 +724 898 1 883757784 +540 825 4 882157172 +943 205 5 888639478 +916 64 5 880843996 +911 427 3 892838538 +543 461 3 875659175 +15 845 2 879456108 +889 265 4 880180816 +411 238 3 891035525 +880 623 4 880243069 +880 315 5 892958175 +878 553 3 880869303 +311 448 5 884365718 +894 936 4 879896836 +767 921 5 891462717 +917 476 5 882912385 +804 257 5 879441014 +571 32 2 883355063 +627 435 5 879531158 +478 15 5 889397306 +383 736 5 891192949 +145 49 3 875272926 +394 62 4 881132876 +654 748 4 887863081 +174 202 5 886513729 +609 750 4 886895397 +190 930 2 891042916 +567 589 5 882425932 +457 1 4 882393244 +880 33 3 880167880 +664 69 3 876525364 +380 302 5 885477742 +932 541 1 891251421 +7 521 5 891353124 +601 284 4 876347523 +488 216 2 891294785 +642 447 4 886569328 +535 419 3 879618654 +878 202 4 880869090 +806 273 4 882385524 +881 1164 1 876537106 +305 485 2 886323648 +491 14 2 891185298 +620 260 5 889986624 +855 582 3 879825578 +664 54 3 876526684 +671 172 5 884035774 +560 508 3 879976502 +881 177 4 876537900 +798 38 4 875915806 +782 937 1 891498918 +833 824 1 875134843 +741 479 5 891456874 +318 458 4 884494861 +749 230 3 878848272 +495 637 3 888635995 +535 50 5 879618091 +758 340 3 880672345 +95 219 4 880572658 +825 748 5 880756504 +923 405 4 880387429 +863 271 4 889289191 +731 845 2 886184681 +72 81 3 880036876 +846 58 4 883949200 +886 584 4 876031993 +437 210 3 881002191 +49 1073 5 888066424 +665 1048 4 884292325 +6 539 2 883681433 +660 179 4 891200073 +833 267 1 875655669 +817 117 5 874815947 +897 232 5 879994113 +158 4 4 880134477 +655 543 3 887474050 +618 33 2 891309351 +399 123 2 882340807 +561 144 3 885807547 +936 323 3 886831820 +171 272 5 891034835 +708 222 5 892719172 +570 327 4 881262795 +331 511 5 877196633 +592 183 5 882955613 +763 125 3 878923322 +796 869 4 893047287 +451 321 3 879012470 +795 79 2 880568325 +854 855 4 882814063 +806 188 3 882388159 +186 147 4 891719774 +701 751 4 891446788 +819 245 3 879952688 +798 419 4 876175937 +387 641 5 886483824 +538 121 3 877110209 +933 823 2 874854813 +870 735 3 875679721 +622 719 2 882671622 +69 628 3 882126125 +863 887 3 889289328 +908 96 4 879722932 +907 1054 3 880159598 +938 929 2 891356966 +768 100 5 883835026 +648 88 4 884881679 +445 151 4 891200869 +894 278 4 880416419 +924 134 4 885457827 +890 451 2 882575274 +793 1 4 875104091 +846 1478 4 883950523 +545 95 4 879901458 +940 176 4 885921979 +850 98 1 883195192 +832 307 4 888259231 +804 926 4 879443993 +602 118 3 888638703 +899 748 4 884120232 +551 276 5 892783451 +763 191 4 878915063 +801 313 5 890332694 +887 1283 5 881378896 +201 583 1 884112352 +846 789 4 883948417 +509 294 2 883590972 +537 894 1 886029526 +942 135 3 891283017 +586 222 3 884057387 +923 50 5 880387306 +936 276 5 886832282 +806 249 4 882385476 +645 195 4 892054537 +533 168 4 879191864 +940 347 3 884801024 +119 271 4 886175150 +363 42 2 891495070 +152 1035 4 882477755 +13 793 5 882141841 +715 121 4 875962524 +774 265 3 888557237 +417 209 4 879647299 +825 147 5 880756643 +869 315 3 884490332 +798 473 2 875296109 +739 288 1 886825083 +344 715 4 889814195 +932 811 4 891250392 +407 191 5 876339940 +798 728 4 875914458 +643 4 4 891448136 +216 147 4 880232787 +889 338 1 880176666 +901 294 3 877125532 +539 258 4 879787770 +868 133 2 877108302 +833 523 3 875133840 +536 167 3 882361317 +736 324 3 878708991 +738 665 2 875351873 +230 195 3 880484416 +919 64 5 875374088 +851 128 4 875731330 +795 105 1 883774317 +900 129 4 877833080 +363 652 4 891495143 +584 181 4 885778120 +933 284 2 874854294 +877 451 4 882677865 +704 606 2 891397441 +916 1011 4 880843666 +566 467 3 881650030 +868 222 3 877108989 +746 208 4 885075569 +406 144 1 879445475 +389 608 3 880087832 +693 77 2 875482860 +705 815 3 883427297 +510 324 1 887667618 +774 199 4 888556517 +918 709 4 891986820 +483 9 2 878952471 +807 186 4 892530004 +416 732 5 893213404 +767 1 5 891462829 +927 568 5 879199250 +806 1 4 882385082 +664 121 3 876526659 +135 226 3 879857956 +927 1016 5 879199250 +846 270 3 883946284 +778 226 4 890670638 +326 237 2 879875572 +446 299 2 879787149 +883 47 3 891694182 +676 316 4 892685224 +838 45 4 887066644 +130 7 5 874953557 +854 742 2 882812960 +243 8 5 879989217 +517 472 2 892659923 +647 402 4 876534009 +851 1258 3 890343790 +646 286 3 888528927 +181 1317 1 878962086 +899 356 2 884122087 +896 219 3 887160500 +770 297 5 875972099 +624 750 4 891961163 +330 231 5 876545418 +669 657 5 891517185 +406 382 5 879793295 +934 193 4 891192236 +254 526 3 886472609 +517 755 3 892659893 +916 720 2 880844920 +859 313 5 885774773 +413 237 4 879969755 +846 586 2 883950712 +711 472 1 879991585 +673 313 4 888786942 +751 52 2 889297948 +716 108 2 879794290 +303 427 4 879466547 +405 806 1 885545974 +943 22 4 888639042 +796 371 5 893047167 +941 919 5 875048887 +653 1244 3 878854769 +796 95 4 892690382 +474 549 5 887926999 +864 200 4 888889162 +192 111 2 881368222 +879 121 4 887761865 +883 367 5 891694218 +669 271 2 891182948 +889 1428 3 880179757 +790 470 4 885158547 +109 1161 3 880564678 +906 221 4 879435365 +796 88 5 893047287 +802 183 5 875985469 +721 872 3 877137598 +345 161 3 884993555 +394 720 2 881058146 +28 603 3 881957090 +810 339 5 891294039 +882 288 3 879860762 +758 150 5 881975243 +868 234 4 877103935 +416 535 4 876697847 +314 322 4 877886029 +525 248 4 881085709 +864 597 4 888888625 +682 1267 3 888517627 +363 273 3 891495630 +618 148 3 891309670 +908 127 4 879722694 +87 128 3 879876037 +901 728 4 877132632 +800 275 4 887646203 +889 60 3 880181275 +613 603 5 891227298 +894 286 5 879896756 +800 50 4 887646263 +815 655 3 878694563 +774 567 1 888557772 +675 272 3 889488431 +864 1284 3 888891900 +815 210 2 878698553 +838 419 5 887066989 +478 182 5 889389014 +864 111 3 888888115 +311 614 4 884365357 +540 25 4 882157635 +850 153 4 883194792 +791 331 1 879447940 +903 25 4 891031259 +617 547 1 883789464 +867 529 5 880078863 +827 326 3 882807503 +450 22 5 882373865 +943 28 4 875409978 +760 25 2 875666317 +764 1057 1 876243990 +920 245 2 884220131 +505 117 4 889333508 +840 137 5 891203309 +828 961 2 891038222 +878 111 4 880867282 +771 283 4 880659303 +420 179 5 891356864 +929 136 3 879640184 +60 601 4 883325944 +560 257 3 879976172 +889 833 3 880177472 +716 501 5 879796215 +506 89 5 874874109 +334 1263 4 891549926 +615 283 4 879448015 +632 191 5 879457603 +896 1011 2 887160296 +844 684 3 877387933 +655 222 2 887650944 +920 258 4 884220094 +756 9 2 874828453 +615 72 2 879449164 +916 151 3 880843578 +405 428 1 885547314 +821 707 5 874793848 +903 357 5 891032872 +409 136 4 881107992 +878 432 3 880870048 +840 936 4 891203504 +391 23 4 877398992 +497 642 3 879362041 +454 589 2 888267487 +805 831 4 881695040 +457 368 1 882396133 +918 1099 4 891987571 +323 181 5 878739177 +538 204 3 877363950 +63 181 3 875747556 +878 234 1 880872619 +699 294 3 878881676 +58 200 3 884305295 +795 658 2 883251696 +83 845 3 880306648 +934 451 4 891192562 +715 941 2 875964072 +468 1134 5 875280670 +190 9 1 891033725 +716 229 3 879797177 +881 380 4 876538763 +250 629 4 878091965 +889 100 4 880176845 +655 1011 3 887651060 +894 462 4 882404278 +772 258 5 877533440 +234 1460 3 892335460 +916 11 4 880844369 +881 615 4 876539291 +445 933 1 891200390 +472 62 5 875981876 +648 109 5 882211419 +893 531 4 874830160 +181 281 2 878963038 +671 219 3 884338399 +58 7 5 884304656 +479 403 3 879461988 +531 908 1 887048836 +347 455 2 881653087 +887 1028 5 881379059 +928 246 5 880937184 +723 748 5 880498795 +534 919 5 877807816 +653 431 4 878854666 +907 748 5 880158537 +835 204 3 891033380 +851 252 3 875730418 +479 475 1 879460028 +618 135 4 891307224 +896 58 3 887159531 +890 434 4 882403587 +42 433 2 881108760 +831 129 2 891354866 +882 28 5 879867508 +844 175 3 877386897 +922 200 3 891449878 +881 197 3 876537870 +903 30 5 891466808 +699 106 3 886568066 +840 675 4 891205093 +588 237 2 890015894 +332 820 4 887938524 +886 49 4 876032187 +269 1478 1 891448643 +580 3 5 884125916 +750 1280 1 879445877 +877 584 4 882677507 +585 198 5 891283921 +819 304 4 879952565 +682 540 2 888521291 +727 802 2 883712780 +535 156 2 879617613 +566 23 4 881650405 +655 513 3 891585504 +832 748 3 888259984 +121 318 5 891390013 +357 412 2 878951918 +181 1358 1 878962120 +881 139 3 876538922 +118 427 5 875384751 +635 268 5 878878654 +886 89 4 876031720 +936 127 5 886833795 +537 371 3 886031407 +793 9 3 875103810 +851 284 3 874728338 +805 401 4 881705108 +653 1046 1 880151580 +942 300 5 891282564 +500 371 4 883874341 +486 1610 2 879874811 +286 1053 4 877532093 +864 473 4 888892300 +889 943 3 880178512 +537 270 3 886028498 +537 496 4 886030831 +931 14 4 891036648 +584 108 3 885774575 +455 11 3 879110971 +481 500 4 885828732 +938 290 3 891356679 +751 603 4 889132776 +747 1179 1 888733387 +244 88 4 880607684 +851 295 5 874728370 +869 696 2 884493021 +271 244 2 886106039 +890 69 4 882403446 +871 907 3 888192745 +719 510 4 879360493 +942 215 5 891283117 +569 295 3 879793983 +807 472 4 892530625 +294 520 5 889854323 +756 300 4 874826502 +846 568 4 883948571 +529 268 5 882535220 +866 272 2 891221006 +655 673 3 887523427 +648 633 3 884796858 +648 144 4 884368273 +782 749 4 891498079 +466 33 4 890285113 +622 249 5 882590394 +267 195 4 878972092 +886 174 5 876032739 +894 284 3 880416220 +254 842 3 886475952 +932 203 4 891250584 +320 248 5 884750644 +399 29 3 882349198 +294 354 3 889241377 +897 201 5 879990556 +851 825 4 875730533 +846 729 4 883950053 +896 763 2 887161199 +13 116 5 882140455 +921 230 3 879381051 +82 435 5 878769409 +336 238 3 877757700 +425 33 4 878738435 +490 222 3 875427103 +664 176 4 876526462 +920 340 4 884219993 +346 365 1 874951029 +907 121 4 880159015 +896 1208 3 887160339 +712 174 5 874729995 +919 732 3 875373471 +246 658 4 884923329 +724 332 4 883757670 +345 150 5 884991105 +533 385 4 879438666 +139 744 5 879538169 +677 322 4 885191280 +693 9 3 875481856 +867 134 5 880078723 +466 510 2 890284857 +682 403 3 888517792 +892 228 3 886608095 +758 520 5 881976089 +495 441 3 888633440 +790 328 3 884461023 +870 203 4 875680098 +798 1337 3 875554892 +892 582 3 886608559 +821 495 5 874793574 +325 386 4 891479890 +882 70 3 879876573 +500 763 3 883865589 +187 694 5 879465532 +919 264 3 875288362 +114 171 4 881309511 +401 663 1 891033549 +901 430 3 877131416 +497 73 3 879362858 +383 188 5 891192949 +805 405 3 881694885 +883 190 4 891693058 +251 480 5 886271733 +592 7 5 882607986 +540 515 5 882157105 +788 203 5 880869215 +7 173 5 891351002 +669 121 3 892549673 +896 809 2 887160771 +758 342 4 881295151 +825 288 1 880931932 +450 356 4 887138756 +535 1101 4 879619177 +716 627 4 879797475 +669 205 4 892550137 +916 943 4 880844834 +782 885 3 891498766 +332 974 4 888360532 +886 396 2 876032739 +934 902 4 891188580 +540 276 4 882157061 +875 357 5 876465072 +924 28 4 885457827 +870 208 4 879270313 +405 1306 1 885546529 +927 1095 2 879182939 +927 63 4 879197074 +863 289 4 889289457 +818 288 5 891870364 +514 190 5 875318224 +494 663 5 879541080 +831 204 5 891354645 +402 181 4 876266860 +846 604 4 883947777 +804 380 4 879445715 +468 772 4 875291722 +921 147 3 879379843 +619 546 2 885953826 +857 20 3 883432688 +914 402 5 887124376 +549 258 5 881671833 +892 31 4 886608643 +478 144 5 889396509 +883 58 3 891717380 +738 97 4 875350122 +563 304 2 880506234 +870 1098 4 889812986 +45 764 4 881015310 +938 411 3 891357042 +851 234 4 875731189 +72 403 3 880037277 +886 631 4 876033645 +912 523 4 875965830 +799 307 3 879253795 +554 288 3 876231123 +617 558 3 883789425 +932 665 2 891252058 +899 588 3 884122155 +306 285 4 876504354 +292 165 4 881105657 +619 68 3 885954105 +716 603 5 879794775 +342 165 3 875318907 +806 200 4 882387670 +772 354 4 889028692 +655 847 2 891585279 +555 244 5 879962642 +619 327 3 885953743 +488 174 4 891294853 +807 743 3 893083216 +919 813 4 875288681 +868 710 3 877103320 +782 350 4 891498641 +49 12 4 888068057 +496 217 5 876073320 +889 732 2 880179612 +1 122 3 875241498 +152 559 1 882475972 +468 127 4 875280126 +195 507 4 875436627 +460 1171 3 882912235 +805 294 1 879970879 +878 170 4 880867485 +468 226 2 875302208 +814 184 3 885411073 +943 732 4 888639789 +675 750 4 889488487 +774 1274 1 888557557 +693 178 5 875482309 +860 312 4 888169119 +721 1442 4 877147872 +912 648 3 875966616 +942 282 5 891282816 +539 660 5 879788346 +725 111 3 876106206 +445 1009 2 891200321 +655 961 3 888685735 +832 313 5 888258754 +889 92 3 880177970 +923 340 5 880387080 +892 1269 5 886607958 +45 993 4 881014785 +697 763 4 882622208 +875 806 4 876465230 +711 258 4 876185488 +916 276 4 880843551 +880 98 5 880241327 +666 12 4 880139323 +896 665 1 887235690 +900 864 2 877833000 +763 159 3 878917818 +854 472 1 882813143 +897 11 2 879990744 +864 465 3 888889327 +805 179 4 881697792 +927 826 4 879181451 +354 922 4 891216825 +532 1594 4 893115576 +741 283 4 891458250 +892 125 4 886610588 +592 501 4 882956276 +244 735 5 880605697 +407 168 5 875042424 +889 663 3 880180554 +532 576 5 893118712 +872 409 3 888479677 +275 227 3 876198296 +932 490 4 891250891 +883 306 3 891691410 +907 120 4 880159562 +651 322 3 880126632 +855 462 4 879825383 +934 1 2 891225958 +393 134 2 887746824 +895 885 2 879437868 +394 151 5 880886919 +555 274 4 879964240 +716 83 4 879795906 +891 323 3 883489806 +862 789 5 879304941 +943 831 2 875502283 +622 977 2 882591804 +645 357 5 892053274 +10 707 5 877886783 +764 231 3 876246409 +648 1626 1 884795447 +916 739 3 880845589 +167 465 5 892738341 +882 455 3 879862652 +343 260 1 876402556 +138 742 4 879023245 +592 3 4 882608960 +343 317 5 876405130 +416 96 4 893142245 +919 660 4 875373945 +918 143 4 891988726 +823 219 2 878439038 +896 715 3 887159895 +882 969 5 879880132 +236 411 1 890117095 +843 62 4 879444891 +671 237 5 884037003 +507 895 5 889964202 +815 167 2 878697705 +465 513 5 883530015 +18 317 5 880131144 +650 226 3 891370031 +798 133 3 875303559 +6 537 4 883601277 +795 144 4 881265483 +495 154 4 888633277 +655 715 3 887476942 +619 56 3 885953992 +828 116 4 891035724 +869 1014 4 884493279 +425 97 2 890347247 +840 221 4 891203309 +317 683 2 891446412 +761 243 3 876189749 +932 86 4 891249146 +592 628 3 882608107 +870 732 2 882123355 +936 1377 5 886832183 +854 509 4 882814333 +498 265 2 881957489 +834 237 5 890862437 +551 568 4 892783906 +847 77 4 878941421 +826 2 3 885690713 +856 316 5 891489547 +901 20 1 877130406 +898 313 4 888294375 +452 528 4 875261261 +638 185 5 876695601 +836 302 5 885753506 +536 88 4 882360601 +452 172 4 876297413 +927 8 4 879183164 +342 57 3 875319457 +929 654 3 879640290 +703 742 3 875242852 +933 483 4 874854424 +927 411 4 879182939 +207 238 2 876079087 +858 293 3 880932692 +932 836 5 891250142 +894 1153 3 882404642 +892 99 3 886610996 +907 393 5 880160009 +823 154 5 878438607 +119 471 4 886177338 +773 264 2 888538348 +748 588 4 879454497 +930 281 4 879535056 +747 9 5 888734012 +776 637 3 892920381 +894 25 2 880416137 +295 582 5 879517721 +546 271 5 885139779 +933 424 1 874938833 +451 885 1 879012890 +655 954 2 887428031 +666 282 3 880313482 +814 145 2 885411749 +846 175 5 883948048 +768 222 4 883834705 +500 49 4 883876053 +798 395 3 875915279 +643 428 4 891447196 +507 306 5 889964677 +886 282 3 876032378 +897 649 3 879992004 +757 433 4 888445684 +894 707 4 882404250 +903 479 4 891032793 +825 1034 4 881185343 +695 343 4 888806120 +394 33 4 880889259 +859 151 2 885775067 +916 176 4 880844419 +379 28 4 880524943 +862 566 3 879304571 +436 1263 3 887772060 +39 319 4 891400094 +269 940 1 891451908 +406 184 2 879792863 +592 203 5 882956276 +271 1282 2 885847666 +708 352 1 892718596 +719 427 4 883354106 +625 486 3 891953617 +894 639 5 882404430 +632 633 4 879459003 +933 67 1 874938430 +214 721 3 891635915 +450 1421 4 882399664 +943 173 5 888638960 +794 13 4 891035582 +456 129 3 881372604 +779 225 4 877454525 +833 336 2 878078056 +336 50 4 877759224 +864 195 4 888888937 +922 127 3 891453105 +889 269 4 880176518 +311 230 5 884364931 +896 470 2 887159531 +786 684 4 882843607 +864 97 4 888887216 +840 183 5 891204664 +908 12 3 879722603 +184 274 4 889907812 +831 197 4 891354751 +873 259 1 891392698 +770 123 3 875972100 +653 441 3 890181186 +916 1010 4 880843482 +889 700 3 880182295 +95 473 4 879193353 +917 285 4 882911122 +796 591 3 892611093 +905 871 2 884984149 +645 428 4 892054684 +829 582 4 881699060 +752 1279 3 891208491 +119 1137 5 886176922 +940 508 5 885921198 +10 484 5 877891904 +796 53 1 893048713 +655 1645 4 892871225 +854 185 4 882813877 +450 25 3 882376188 +880 172 5 880167695 +850 132 5 883195236 +790 317 4 885155949 +527 499 5 879456490 +293 558 3 888906143 +904 255 5 879735380 +868 588 1 877106421 +197 227 3 891409936 +405 972 1 885546445 +890 436 3 882402949 +443 39 1 883505492 +727 22 4 883710236 +899 318 4 884121512 +757 403 4 888466461 +77 222 4 884732873 +634 685 4 875729535 +585 462 3 891283124 +839 130 3 875753029 +806 1129 3 882384988 +905 322 3 884983341 +805 367 4 881705108 +686 194 5 879546443 +870 47 3 875679958 +916 1014 3 880843683 +617 559 1 883789507 +175 187 4 877107338 +846 73 4 883949728 +405 1208 1 885546577 +897 717 1 879993912 +588 283 4 890015835 +932 511 5 891250282 +405 638 1 885549589 +932 805 4 891250236 +896 399 1 887161151 +896 241 5 887158791 +117 895 2 886019030 +586 806 4 884058611 +807 578 4 892530582 +937 988 2 876768983 +521 79 4 884477656 +774 413 1 888559013 +85 1075 3 879454400 +627 229 2 879531459 +711 1289 2 879991458 +683 607 5 893286207 +551 51 5 892784780 +552 845 3 879222368 +882 69 5 879864917 +854 286 1 882811742 +741 313 4 891455095 +788 629 1 880870149 +919 333 4 875920290 +746 210 5 885075211 +922 145 3 891450315 +892 480 4 886607844 +660 121 2 891197954 +683 346 4 893286347 +936 864 4 886833360 +773 200 4 888540279 +483 473 3 878953090 +361 527 4 879441462 +466 121 3 890285034 +650 151 3 891387418 +889 540 2 880182317 +927 328 4 879176059 +299 319 3 889501480 +695 358 5 888806270 +148 164 4 877398444 +164 690 4 889401241 +882 378 5 879868198 +486 246 3 879874545 +151 498 5 879524150 +887 673 5 881381382 +846 615 5 883948003 +908 481 3 879722754 +907 5 5 881030348 +896 260 2 887157732 +246 384 2 884923632 +716 1101 5 879795467 +697 895 2 882621548 +693 662 4 875482604 +606 154 3 880923862 +814 98 4 885410957 +671 98 4 883949357 +405 877 1 885549903 +650 2 3 891381709 +924 100 4 884371558 +911 627 3 892840888 +26 248 3 891377468 +416 231 3 878880244 +666 428 3 880139439 +429 44 3 882386171 +248 323 1 884534472 +907 258 4 880158316 +747 258 2 888638335 +332 562 5 888098328 +916 1597 3 880845206 +892 202 4 886608135 +844 241 4 877387150 +815 88 4 878695176 +601 9 4 876347196 +77 183 5 884732606 +198 428 4 884209188 +935 125 4 884472575 +177 204 3 880131011 +115 696 4 881169984 +267 183 4 878971438 +834 268 3 890860194 +932 136 5 891249736 +222 1206 2 878184899 +378 428 3 880055101 +846 496 3 883947630 +683 513 5 893286208 +883 739 2 891696715 +679 423 3 884487112 +933 234 3 874853957 +927 118 5 879181042 +592 134 5 882955794 +798 703 4 876177414 +474 343 3 887915082 +159 1254 1 884360361 +804 746 4 879444890 +532 759 2 888631120 +387 188 5 886483151 +870 570 2 879714681 +591 26 3 891031526 +913 276 3 881037047 +926 292 3 888636202 +916 844 3 880843465 +796 649 3 893194646 +788 317 4 880869945 +909 170 5 891920276 +532 127 5 893119438 +543 732 3 877547863 +794 1251 4 891034755 +730 685 2 880310569 +10 686 4 877886911 +374 82 4 880394484 +922 219 1 891449901 +484 186 4 891195219 +13 141 2 890705034 +339 736 3 891035093 +691 227 4 875543108 +711 83 5 879993628 +749 833 2 878850565 +455 286 5 878585250 +663 597 3 889492917 +436 635 3 887771875 +823 204 4 878438930 +643 218 3 891449680 +835 523 3 891033560 +871 909 3 888192475 +707 923 5 886286092 +741 210 3 891455353 +499 524 4 885599073 +327 260 1 887743705 +889 26 4 880178748 +548 272 2 891042194 +886 467 4 876032577 +145 943 3 875272050 +727 209 3 883710186 +843 633 3 879447285 +666 357 4 880139526 +457 386 3 882549133 +759 294 5 875227708 +932 235 2 891250770 +234 1185 3 892335951 +711 419 5 879994581 +658 628 3 875145841 +536 181 5 882318369 +805 228 3 881694423 +682 728 3 888522021 +786 692 4 882843190 +70 418 3 884149806 +864 15 4 888887658 +943 419 2 888638920 +908 483 4 879722718 +880 218 4 880241355 +749 729 4 878848015 +697 879 4 882621486 +921 111 4 879380097 +487 11 5 883445495 +925 325 4 884633349 +896 489 5 887159674 +851 1598 3 886534882 +889 533 3 880177352 +921 259 4 884673369 +378 38 3 880333383 +936 904 5 886831415 +472 356 3 875983231 +508 50 5 883777430 +146 311 4 891457714 +920 313 5 884219701 +425 293 4 878738992 +943 239 5 888639867 +893 358 2 874828296 +721 222 5 877138584 +911 151 5 892840916 +669 97 4 891517238 +414 270 5 884998972 +405 176 1 885547909 +5 375 3 875637587 +24 518 4 875323552 +892 22 5 886608714 +846 28 5 883948685 +535 498 4 879619224 +524 134 5 884634848 +683 328 2 893283728 +13 182 5 882139347 +95 433 4 880571950 +357 826 3 878951984 +546 121 5 885140909 +559 513 5 891033956 +26 323 2 891349184 +919 23 3 875373074 +833 250 3 875036499 +716 178 5 879795269 +379 433 4 880525259 +787 288 1 888979236 +450 228 4 882373019 +932 1449 5 891248937 +904 815 4 879735678 +846 510 4 883948003 +807 230 4 892530216 +921 245 1 879379361 +618 31 4 891307577 +899 29 2 884122844 +932 1558 5 891248996 +618 506 4 891308296 +825 284 3 880756603 +416 392 5 893213444 +847 716 3 878941370 +56 295 3 893257941 +855 166 4 879825578 +721 1393 3 877137598 +934 708 3 891192329 +932 121 3 891251669 +671 562 5 884036365 +902 8 5 879465765 +913 95 4 880826766 +781 302 5 879633862 +299 114 4 878191943 +923 9 4 880387306 +913 729 3 881368824 +650 131 3 891372258 +305 69 3 886324299 +181 1137 1 878962392 +779 118 5 875994324 +642 1152 5 886569828 +880 227 2 880167918 +387 25 2 886481271 +864 257 4 891044192 +931 298 4 891036849 +887 95 4 881379718 +940 436 4 885921542 +699 323 4 879147366 +62 528 5 879375080 +841 322 4 889067152 +896 2 3 887160000 +560 606 4 879975613 +896 480 3 887158185 +693 58 3 875482477 +908 478 4 879723046 +759 281 4 881476991 +438 252 4 879868364 +906 283 4 879435524 +812 682 4 877625224 +901 94 4 877131738 +825 252 5 880757103 +913 427 4 881725960 +890 671 5 882404571 +932 855 5 891249109 +875 294 2 876464755 +671 118 5 875389187 +537 12 3 886031074 +934 72 3 891195982 +666 291 3 880313640 +622 3 1 882672922 +224 126 3 888103704 +684 210 3 878759474 +798 732 2 875638759 +669 248 4 892549412 +935 118 4 884472704 +392 174 5 891038979 +374 471 4 880393056 +913 919 4 880758150 +34 288 2 888601628 +711 94 2 879995728 +778 219 3 890727129 +283 109 4 879297237 +720 272 4 891262762 +864 729 4 888889035 +745 10 5 880123905 +651 276 4 879348966 +429 939 4 882384986 +719 520 5 879360466 +922 43 3 891454445 +864 143 4 888887703 +833 58 2 875124495 +805 716 4 881696980 +524 471 4 884322169 +910 628 1 880821319 +660 79 2 891199348 +53 15 5 879443027 +833 4 3 875123781 +542 72 3 886532818 +788 1107 3 880870773 +870 357 5 875679687 +456 72 1 881374801 +24 58 3 875323745 +342 1010 1 874984574 +902 271 2 879463433 +913 657 5 881725761 +788 96 3 880868803 +718 1028 4 883349191 +864 117 4 888889466 +715 576 2 875964468 +897 506 4 879991524 +889 28 4 880181995 +865 763 1 880143680 +911 655 5 892839719 +693 50 3 875483881 +651 309 1 880126632 +862 435 5 879304244 +727 827 3 883709839 +727 229 2 883711476 +554 866 3 876232486 +794 19 4 891036111 +883 694 5 891693110 +923 151 4 880388021 +404 339 1 883790609 +809 300 4 891036903 +711 157 3 879994608 +758 6 2 881976919 +648 441 3 884883724 +551 229 5 892784779 +931 750 5 891037521 +463 1199 1 889937778 +912 659 5 875966202 +523 155 4 883703091 +927 552 4 879196283 +664 509 4 876523654 +758 541 4 881977747 +833 940 2 875134411 +667 427 5 891034767 +666 513 4 880139323 +624 866 3 879793436 +878 1039 3 880866508 +860 344 3 887028250 +554 56 4 876550257 +749 478 5 878847328 +387 408 4 886484492 +768 346 3 883834705 +823 17 4 878439655 +398 712 2 875736732 +567 429 4 882426899 +627 526 4 879529916 +907 710 4 880160106 +95 507 4 880571226 +880 1184 3 880167806 +856 327 4 891489478 +551 628 5 892783177 +839 845 4 875752237 +804 357 5 879441450 +886 628 3 876031695 +704 519 3 891397262 +804 455 5 879443609 +354 936 4 891216607 +336 579 3 877757373 +639 165 3 891239658 +490 458 3 875428417 +907 1047 5 881030348 +890 313 5 882914803 +659 164 4 891384606 +20 82 4 879669697 +893 286 4 874828384 +942 435 5 891282931 +429 194 4 882385705 +312 644 5 891698987 +323 651 5 878739829 +786 458 3 882842195 +880 191 5 880175597 +675 427 5 889489691 +901 1605 5 877127052 +560 11 4 879975485 +618 49 3 891309514 +778 423 1 890803860 +819 147 5 884105025 +620 560 4 889988232 +926 294 3 888636269 +748 58 4 879455083 +862 82 4 879305237 +843 234 4 879443297 +378 436 4 880046437 +660 123 2 891198109 +700 98 3 884494215 +642 95 5 886131547 +822 1 4 891037291 +709 697 5 879847946 +886 943 3 876032248 +63 121 1 875748139 +890 136 5 882403045 +603 288 3 891956283 +927 155 4 879193972 +924 237 4 889286746 +826 810 3 885690854 +64 732 4 889739288 +659 499 4 891385438 +883 14 3 891693675 +689 1 3 876676211 +682 42 5 888518979 +374 25 5 880393191 +906 277 3 879435469 +363 100 5 891495070 +886 47 4 876031601 +93 118 3 888705416 +756 588 4 874829258 +664 100 5 876523833 +867 156 5 880078574 +940 271 2 884801053 +70 1030 2 884151801 +347 693 5 881654156 +592 1620 1 882609057 +703 1012 4 875242852 +884 713 3 876858914 +639 356 2 891239380 +608 187 4 880403055 +704 89 5 891397305 +499 100 4 885599040 +92 225 3 875640740 +648 496 4 884796822 +299 20 3 877880111 +606 546 4 878149278 +916 83 4 880845206 +578 325 1 888957735 +747 1659 1 888733313 +940 137 3 885921758 +919 755 3 875373889 +694 28 4 875729304 +533 1001 1 879366160 +290 183 4 880474054 +939 254 3 880262319 +939 841 4 880261868 +407 94 4 876345492 +913 436 3 881367312 +798 941 3 876176561 +867 328 5 880077855 +7 639 5 891353676 +409 854 4 881108648 +119 323 4 874774449 +896 387 2 887159368 +679 286 5 884312660 +386 181 3 877654961 +593 775 3 875672949 +620 422 1 889988036 +290 151 2 880474835 +406 157 3 882480865 +871 226 5 888193177 +749 977 4 878850502 +804 229 4 879445816 +894 1592 4 889469391 +784 331 4 891387155 +804 100 5 879445904 +892 521 5 886608263 +897 76 4 879992811 +352 175 1 884290574 +548 1047 4 891416011 +653 42 2 880151818 +554 117 4 876231777 +598 259 3 886710977 +323 334 3 878738865 +690 72 2 881177553 +669 125 3 892549622 +688 749 5 884153712 +889 1553 3 880180979 +900 237 4 877832803 +653 410 1 878855024 +933 227 1 874939078 +239 39 5 889181093 +766 550 3 891310210 +692 66 2 876953130 +49 235 2 888068990 +613 89 5 891227237 +927 404 4 879197692 +682 284 4 888519725 +613 12 5 891227299 +455 546 3 879110767 +849 406 4 879695125 +896 313 4 887235122 +869 151 5 884493279 +506 5 4 874874947 +804 208 5 879441412 +927 402 4 879192123 +758 208 4 881978148 +801 881 3 890332820 +417 568 2 879648155 +682 765 4 888523581 +919 301 3 875288164 +815 444 2 878698407 +646 288 3 888529127 +852 568 4 891037947 +808 872 5 883949986 +160 488 5 876862078 +890 603 5 882404851 +575 168 5 878148358 +683 331 2 893283728 +907 277 5 880158794 +72 844 4 880035708 +899 214 4 884122044 +56 405 4 892679460 +847 204 4 878939912 +764 286 4 876232900 +721 322 4 877136891 +188 300 4 875071195 +881 474 3 876537870 +428 269 5 885943749 +11 229 4 891905878 +405 1382 1 885549790 +758 435 5 881975853 +790 213 3 885156336 +779 252 3 877453656 +883 81 5 891717908 +906 287 5 879435524 +328 582 5 885045844 +694 434 5 875727018 +537 1147 3 886031473 +883 354 4 891692000 +939 405 4 880261450 +927 722 3 879197421 +749 401 1 878850015 +916 431 3 880844655 +932 45 5 891249063 +416 111 4 876697592 +430 127 4 877225484 +830 487 5 891898415 +615 86 5 879448439 +911 603 5 892838864 +708 457 4 892718965 +325 1487 3 891480086 +864 172 5 888887795 +381 588 3 892697338 +297 690 5 876717812 +921 136 4 879380806 +541 459 5 884047153 +648 671 3 884883476 +717 1047 4 884642981 +748 195 4 879455083 +314 609 4 877889311 +890 200 4 882402633 +896 1622 2 887160296 +886 181 5 876031392 +567 10 4 882426508 +940 82 4 885922040 +817 273 5 874815885 +927 756 4 879181259 +429 156 4 882384920 +42 87 4 881107576 +433 300 3 880585068 +731 1039 4 886182366 +201 239 1 884140275 +891 756 4 883429918 +600 1419 3 888452564 +846 616 3 883950753 +655 956 3 888984538 +743 286 3 881277602 +933 11 4 874853899 +776 193 3 891628895 +875 302 5 876464694 +633 226 4 877212085 +602 300 3 888637847 +889 1110 3 880182943 +660 1133 2 891201419 +638 405 3 876695338 +683 289 4 893286260 +568 134 5 877907092 +930 690 3 879534335 +650 144 3 891381585 +892 1285 4 886609435 +526 258 3 885681860 +790 90 2 885157440 +924 849 3 886760052 +934 286 4 891188367 +321 498 5 879438699 +650 443 5 891369982 +682 209 3 888521381 +890 604 5 882403299 +533 293 3 879191469 +579 4 2 880952271 +796 99 3 893218764 +782 328 5 891498030 +943 722 3 888640208 +181 273 1 878962774 +721 127 5 877140409 +868 1076 1 877111487 +711 723 5 879994852 +933 7 4 874854190 +608 216 5 880403239 +756 622 3 874830790 +627 660 4 879530463 +43 254 3 875975323 +889 881 3 880176717 +922 69 3 891453106 +435 208 4 884131515 +901 768 3 877131793 +654 189 4 887864230 +627 684 4 879531301 +880 881 4 892958401 +222 410 2 877563326 +406 26 3 879793235 +405 79 5 885544798 +567 705 5 882426105 +655 1173 2 887431157 +622 109 5 882590559 +622 391 2 882671827 +701 237 5 891447198 +666 962 3 880314272 +899 597 2 884120270 +41 191 4 890687473 +105 347 3 889214334 +93 14 4 888705200 +533 56 3 879439379 +919 319 3 875288164 +896 845 3 887159531 +409 632 3 881107902 +858 323 2 879459926 +843 180 3 879447234 +769 1322 2 885424730 +865 946 1 880235099 +896 42 4 887160000 +919 93 5 875288681 +354 432 3 891218380 +764 200 4 876244895 +761 1558 1 876190511 +393 1001 4 887745410 +200 447 4 884130014 +938 126 4 891356656 +889 684 2 880180376 +708 740 5 877325687 +514 153 4 875463386 +943 785 2 888640088 +635 688 2 878878838 +881 511 5 876537419 +660 419 2 891199348 +837 950 2 875722169 +440 304 5 891546785 +321 52 3 879440612 +15 225 3 879456447 +579 153 4 880952335 +551 49 3 892783281 +865 411 1 880144153 +850 496 5 883195079 +749 449 3 878850610 +276 92 4 888873675 +621 926 3 880738894 +291 240 4 874833726 +754 273 3 879451516 +64 651 4 889740795 +933 180 5 874854723 +883 199 4 891717462 +845 904 3 885409374 +890 173 4 882575167 +772 331 5 876250551 +835 632 5 891033747 +488 162 3 891376081 +593 535 3 875659943 +505 300 4 888631046 +894 272 4 885427952 +130 751 5 884623756 +796 748 5 892611979 +629 271 4 880116722 +862 658 5 879304526 +144 59 4 888105197 +658 192 4 875147935 +735 300 4 876697647 +226 596 3 883889884 +600 1274 2 888453145 +917 405 3 882911215 +561 492 4 885807369 +704 193 5 891397305 +943 229 2 888693158 +934 481 4 891191402 +874 514 5 888633311 +270 1109 5 876955899 +935 1 3 884472064 +879 118 3 887761562 +286 800 5 877534528 +839 1 4 875751723 +339 213 4 891033542 +861 463 3 881274698 +896 642 2 887160702 +184 735 3 889909868 +58 168 5 891611548 +826 183 5 885690482 +883 48 4 891717283 +747 403 5 888734113 +89 451 3 879459884 +373 168 5 877098297 +912 507 3 875965906 +479 131 3 879460999 +676 250 4 892686164 +594 100 4 874781004 +916 101 3 880845690 +846 183 4 883948048 +805 922 5 881702716 +741 67 3 891457456 +553 605 4 879949251 +474 509 5 887927457 +154 523 5 879138831 +262 747 4 879793641 +195 366 3 885110899 +592 531 5 882955765 +676 100 5 892686083 +854 709 4 882814395 +715 1088 1 875962454 +424 292 4 880859228 +919 419 5 875374269 +734 121 4 891026028 +804 763 4 879443776 +721 435 4 877139384 +806 196 5 882388437 +897 925 5 879993739 +747 726 2 888733387 +881 399 4 876538465 +393 575 2 889728712 +890 208 5 882403007 +655 153 2 887523641 +814 7 4 885411073 +735 237 4 876698714 +825 273 5 880756401 +308 396 4 887740099 +627 241 4 879531397 +943 566 4 888639886 +814 358 2 885410837 +825 696 3 889020961 +566 166 4 881649709 +504 561 4 887910023 +747 181 5 888639014 +14 663 5 879119651 +881 742 4 876536773 +778 168 5 890670560 +655 54 2 887430746 +373 79 4 877098979 +805 1157 5 881696124 +643 183 5 891447790 +563 294 3 880506121 +47 305 5 879439040 +802 266 3 875984938 +929 12 4 879640036 +85 196 4 879454952 +487 173 4 883445580 +145 293 4 875270276 +279 826 4 875297456 +681 538 3 885409516 +213 194 4 878955766 +642 252 5 885842962 +336 746 3 877758103 +530 181 3 886202320 +854 123 1 882812406 +14 25 2 876965165 +618 200 5 891307367 +936 928 3 886832502 +707 285 5 880059749 +903 46 4 891033123 +727 83 5 883710889 +523 56 3 883703495 +589 326 1 883352600 +561 160 3 885808904 +757 426 3 888467270 +943 230 1 888693158 +616 327 3 891224558 +887 756 5 881379094 +768 301 5 883835026 +880 186 4 880174808 +851 1254 1 875730895 +178 268 4 884837324 +795 154 3 881529904 +276 413 3 877934705 +551 660 3 892783672 +758 13 5 881977205 +67 1047 3 875379750 +495 1 4 888632943 +918 340 1 891986174 +556 321 4 882135994 +521 174 4 884478721 +866 303 4 891221165 +416 122 3 886315885 +5 373 3 875635907 +918 971 4 891987780 +534 118 4 877807935 +875 428 4 876465112 +620 393 5 889988196 +483 258 4 878950353 +802 569 3 875985840 +256 597 4 882152509 +49 404 3 888067765 +500 13 5 883865232 +648 1337 3 884367366 +454 387 2 888267279 +221 1208 3 875247565 +498 77 2 881961627 +924 429 4 886760020 +815 229 3 878695527 +650 174 4 891369479 +525 147 3 881085893 +848 199 5 887042341 +755 301 3 882569771 +697 237 5 882622414 +559 300 4 891035137 +775 333 4 891033022 +798 815 5 875295695 +398 8 3 875716709 +456 324 4 881372687 +727 472 2 883709374 +902 268 1 879463373 +862 69 5 879304244 +181 880 1 878961668 +848 483 5 887038021 +847 195 4 878940301 +459 257 5 879563245 +902 989 2 879465336 +314 12 4 877888758 +704 481 5 891397667 +660 444 2 891201948 +592 135 5 882955765 +847 172 4 878939803 +270 56 5 876955976 +586 978 2 884065825 +506 693 4 874876651 +843 431 3 879443763 +452 456 1 876209837 +751 484 3 889134483 +815 265 5 878696181 +880 67 1 880175023 +545 62 5 879899438 +883 195 5 891696824 +933 576 1 874939185 +870 802 3 879714763 +312 91 3 891699655 +923 926 4 880388383 +198 684 3 884208778 +189 473 5 893264558 +931 344 4 891035917 +880 179 4 880175735 +526 313 5 885681934 +435 98 5 884131576 +901 1643 5 877130473 +663 299 2 889491739 +271 466 4 885849490 +85 161 4 882819528 +435 333 3 884130647 +397 522 5 885349476 +452 223 5 885816768 +838 191 5 887065709 +798 323 4 875295469 +919 310 3 885059537 +727 96 4 883710152 +679 95 3 884487688 +727 363 3 883709641 +62 15 2 879372634 +579 331 3 880951346 +934 313 3 891188441 +916 402 3 880845177 +703 127 5 875242663 +931 125 4 891036786 +763 466 4 878922422 +122 197 5 879270482 +582 1 4 882961257 +655 1012 3 888474357 +456 229 3 881375482 +144 170 4 888105364 +130 794 5 875802137 +706 323 4 880996945 +832 678 2 888259984 +910 405 4 881420841 +848 519 5 887037980 +87 1178 3 879877208 +272 69 4 879455113 +932 506 4 891249710 +924 216 4 885458010 +644 873 4 889076310 +934 152 4 891194303 +592 148 2 882608961 +851 717 3 874728598 +682 692 3 888519207 +807 625 3 892978296 +301 17 4 882077142 +102 272 3 888112484 +943 431 4 888639724 +919 343 4 885059506 +922 631 3 891453171 +543 14 4 876896210 +916 132 3 880844597 +661 58 4 886841865 +394 393 4 880889350 +943 724 1 888639478 +650 378 3 891383879 +854 431 3 882813726 +943 67 4 888640143 +912 174 3 875966756 +918 86 4 891986798 +867 180 5 880078656 +922 402 3 891448451 +933 410 3 874854383 +843 161 2 879444891 +936 321 3 886831769 +757 455 3 888445035 +290 99 4 880473918 +41 205 4 890687353 +782 1589 3 891500028 +923 825 4 880387525 +864 451 4 888889563 +861 509 5 881274739 +864 228 5 888888067 +620 1480 3 889988281 +698 133 2 886367586 +721 748 3 877136967 +913 186 3 880946006 +883 514 4 891694182 +585 652 4 891285658 +911 163 4 892839846 +798 168 4 875743765 +720 902 4 891263460 +308 642 5 887738226 +846 204 3 883948141 +314 1029 2 877891603 +722 748 4 891280154 +537 703 3 886031859 +536 432 4 882360552 +919 946 4 875373416 +733 933 1 879535752 +889 1022 4 880176667 +940 313 5 884801316 +104 9 2 888465201 +884 198 5 876859237 +653 1231 2 880153349 +405 660 2 885546247 +757 561 2 888467380 +699 475 4 878882667 +405 389 2 885548932 +925 219 3 884718099 +943 201 5 888639351 +499 647 5 885599013 +682 1221 3 888517265 +892 1 5 886608185 +752 1463 4 891208261 +825 326 4 886696420 +507 345 5 889964202 +749 430 4 878847926 +189 532 4 893264150 +938 358 4 891355972 +407 131 3 875552400 +868 589 4 877106421 +943 386 1 888640186 +850 95 5 883195301 +862 252 3 879302910 +577 770 4 880475149 +234 623 2 892318107 +938 871 2 891356549 +553 524 5 879948996 +894 213 4 882404278 +631 332 3 888465180 +604 447 4 883668352 +94 182 5 885873089 +773 182 4 888539993 +907 111 5 880158883 +722 871 2 891281876 +90 500 4 891384721 +718 257 4 883348845 +334 10 4 891545265 +541 1409 4 883874778 +292 483 5 881105442 +642 759 3 885843824 +880 1035 4 880242933 +922 214 2 891454071 +488 323 1 891293263 +934 794 4 891192849 +532 187 4 884594932 +128 180 5 879967174 +907 405 4 880159113 +738 98 4 875350515 +886 194 3 876031365 +894 57 4 882404397 +757 574 3 888467187 +757 298 4 888444208 +339 346 5 891032255 +880 1157 4 880243817 +913 96 5 881725904 +533 778 4 879192157 +655 45 3 891585477 +880 591 4 880166990 +650 474 4 891385315 +870 1046 3 879714310 +771 111 4 880659919 +856 270 3 891489412 +932 153 4 891251063 +332 245 4 888098170 +751 809 3 889299429 +416 184 4 876699758 +770 473 5 875972612 +638 175 4 876695774 +623 185 4 891034343 +291 153 4 874871736 +682 24 4 888522575 +718 282 5 883348712 +641 483 5 879370259 +606 236 3 878150506 +822 189 4 891037394 +781 232 3 879634318 +854 482 3 882813761 +495 578 3 888636653 +916 531 4 880844331 +201 195 3 884111397 +447 237 4 878854234 +542 173 4 886532265 +918 462 3 891986933 +826 385 5 885690677 +828 463 2 891036717 +903 628 3 891031384 +894 933 3 880416472 +865 418 1 880235099 +542 384 3 886533227 +802 440 3 875985686 +233 215 5 877665324 +840 511 4 891204089 +585 30 4 891284393 +589 332 4 883352536 +643 118 2 891445741 +504 400 3 887911277 +889 9 4 880176896 +850 162 3 883195301 +647 298 3 876533005 +716 298 5 879793501 +821 459 5 874792698 +934 186 2 891190854 +620 418 3 889988005 +825 126 3 880755982 +59 129 5 888202941 +459 471 3 879562659 +886 581 4 876032103 +457 433 5 882397020 +533 755 3 888845338 +630 732 4 885668203 +280 222 3 891700624 +545 326 3 879898447 +622 161 3 882670712 +701 1 4 891447139 +901 688 2 877129839 +727 379 2 883712805 +854 811 3 882814091 +854 628 2 882812451 +480 169 5 891208327 +846 131 3 883948457 +653 76 3 880150702 +776 53 2 892313246 +592 1082 3 882608625 +885 300 4 885712224 +943 228 3 888693158 +896 386 3 887161172 +328 435 4 885045844 +473 285 4 878157404 +203 744 2 880434495 +798 826 5 875295695 +615 268 4 879447642 +320 340 2 884748230 +741 218 4 891455711 +935 934 4 884472743 +681 270 1 885409370 +921 419 5 879381234 +370 835 5 879434909 +398 153 4 875732862 +629 241 5 880116911 +839 1245 4 875752408 +466 684 4 890285034 +851 806 4 875731330 +645 674 3 892054402 +627 282 2 879530463 +637 1060 2 882904148 +663 1327 4 889493210 +922 375 2 891454552 +920 301 2 884220058 +927 204 4 879183511 +903 709 4 891033502 +879 276 4 887761865 +547 269 3 891282555 +889 427 4 880177880 +870 204 4 875680448 +115 117 4 881171009 +788 226 4 880870710 +933 79 3 874853819 +819 258 2 879952538 +932 562 2 891251611 +713 300 2 888881939 +546 682 3 885140097 +927 409 4 879176876 +903 520 4 891032911 +429 1438 1 882385705 +343 274 3 876403443 +899 499 3 884122308 +864 781 3 888891238 +923 1277 5 880388322 +774 525 2 888558305 +892 470 4 886609977 +563 871 2 880507263 +851 1540 2 875731529 +666 692 3 880568505 +927 819 3 879181508 +619 684 4 885954083 +345 42 2 884991873 +158 709 5 880135020 +911 191 5 892838676 +354 97 3 891217610 +839 181 3 875751991 +883 22 3 891696824 +403 237 5 879786221 +521 215 1 886062095 +217 808 2 889069808 +833 219 4 875224309 +548 294 3 891042954 +466 92 4 890285034 +910 134 3 880821676 +918 499 4 891986775 +933 200 4 874854783 +632 367 2 879459544 +297 338 2 881707832 +690 118 4 881180056 +919 183 3 875372802 +639 285 1 891239131 +535 190 4 879617747 +630 64 5 885668276 +781 1500 5 879634096 +793 685 3 875104718 +883 90 3 891694672 +935 281 5 884472310 +193 487 5 889124287 +498 1495 3 881958237 +85 520 3 882996257 +682 54 4 888517628 +889 297 3 880176845 +653 472 1 880606675 +606 58 3 880924483 +643 1098 4 891447696 +916 1682 3 880845755 +764 411 3 876243668 +904 117 4 879735316 +897 1219 4 879991137 +799 191 3 879254077 +707 26 3 886286954 +690 106 3 881180138 +811 678 5 886377686 +637 15 4 882903447 +135 5 3 879857868 +393 787 5 889554674 +308 537 4 887739136 +825 746 5 881101782 +607 19 3 883879613 +846 39 3 883948873 +919 1173 3 885059859 +927 174 3 879185327 +916 203 4 880844157 +884 213 4 876859207 +442 742 3 883391146 +901 211 4 877131342 +687 286 3 884651648 +769 476 4 885424142 +930 171 1 879535685 +537 584 2 886031678 +940 527 3 885921710 +882 369 3 879863257 +332 984 2 887916411 +820 302 5 887954906 +874 137 4 888632484 +142 134 5 888640356 +507 841 5 889966054 +537 423 2 886030622 +711 203 4 879994433 +880 201 4 880174834 +342 14 5 874984661 +616 302 5 891224517 +638 29 2 876694917 +889 216 4 880180191 +936 1115 4 886832859 +648 603 5 882212651 +889 1152 3 880177778 +847 705 3 878939700 +607 238 4 883879556 +860 310 4 880914645 +875 523 4 876465408 +708 294 3 892719033 +804 428 3 879445841 +270 554 1 876956264 +844 418 3 877388040 +694 185 4 875729520 +943 941 1 888639725 +933 561 3 874938808 +889 658 4 880181086 +606 184 5 880924790 +885 538 4 885712224 +896 392 3 887160187 +381 419 5 892696446 +585 283 4 891283124 +897 670 3 879991258 +870 253 4 887567321 +659 180 5 891385044 +562 566 4 879196483 +507 258 4 889963959 +659 162 3 891385136 +181 826 1 878963304 +535 382 5 879618058 +312 647 5 891698726 +899 433 4 884122178 +389 286 2 879915633 +890 102 3 882574982 +194 502 4 879548624 +642 568 4 885606735 +814 436 3 885411073 +450 170 5 887660440 +840 435 4 891204114 +766 385 3 891310281 +870 480 5 875680142 +58 584 5 884305271 +846 487 4 883948685 +771 251 5 880660087 +503 633 5 880472344 +927 96 5 879184761 +675 242 4 889488522 +890 210 4 882403587 +793 405 3 875104340 +6 490 5 883601365 +707 287 4 880059774 +454 86 2 888267280 +932 198 4 891249109 +87 598 2 879877279 +932 436 3 891251225 +790 240 3 884462692 +772 245 5 877533546 +932 101 3 891251225 +927 385 4 879193625 +749 1016 5 878846958 +676 912 3 892685489 +864 1033 2 888891473 +752 683 4 891208299 +846 549 4 883949421 +834 326 4 890860386 +897 117 3 879993210 +882 265 5 879867431 +145 268 4 888396828 +865 258 4 880142652 +921 405 3 879379774 +425 347 4 890346517 +432 1012 5 889415947 +907 553 5 880160056 +95 227 2 880572356 +756 155 4 874829637 +459 1013 3 879563226 +886 686 4 876033228 +916 230 3 880845177 +883 222 3 891717495 +898 316 5 888294739 +673 896 5 888787355 +843 419 2 879446617 +551 941 4 892782734 +70 227 3 884067476 +894 628 3 880416102 +582 321 3 882960555 +835 616 4 891033718 +660 91 4 891200193 +577 1028 4 880470764 +851 318 5 891961664 +851 17 5 875807089 +624 310 4 891961078 +823 26 5 878438930 +194 208 3 879521329 +916 3 3 880843838 +495 218 4 888635080 +761 477 1 876190235 +621 73 5 874962772 +864 343 5 887686545 +504 462 4 887838740 +707 1255 3 880061252 +671 255 5 884375221 +883 713 3 891692742 +663 509 4 889493437 +593 313 4 888871903 +551 475 5 892777910 +347 357 5 881653774 +541 543 4 883875432 +405 1260 1 885546835 +650 511 5 891369520 +878 1121 2 880867895 +243 306 4 879988830 +25 692 4 885852656 +899 28 5 884121214 +650 68 3 891381784 +479 252 2 879460628 +922 135 2 891453820 +796 707 3 892663154 +519 346 4 885929222 +889 125 4 880177435 +894 100 4 882404137 +756 1240 4 874829333 +658 55 4 875148059 +858 1368 4 880932449 +673 322 4 888787450 +655 528 5 887473570 +698 988 1 886365802 +922 228 4 891447665 +813 751 5 883752264 +334 304 3 891550557 +493 833 2 884131738 +417 191 5 879647498 +484 95 4 891195773 +932 208 5 891249794 +870 169 4 888095560 +201 15 3 884140670 +752 321 3 891208212 +615 582 3 879447968 +721 209 3 877150031 +883 515 5 891692657 +813 300 4 883752331 +514 432 4 875311156 +666 649 3 880568694 +194 501 3 879548319 +887 720 5 881380813 +793 979 3 875104620 +899 64 4 884121647 +899 724 5 884122776 +915 302 4 891029965 +933 159 3 874854190 +483 227 3 878953592 +178 118 4 882824291 +906 744 4 879435524 +417 153 5 879647580 +106 59 4 881453318 +797 257 5 879439362 +886 24 4 876031973 +913 169 4 880757553 +932 170 4 891248967 +548 471 5 891415709 +885 476 4 885713062 +223 173 5 891550711 +845 286 5 885409719 +535 632 4 879618965 +23 919 5 874784440 +802 646 4 875986155 +936 252 2 886833099 +661 50 5 876013935 +933 125 4 874854251 +586 227 2 884062010 +524 212 5 884635326 +889 742 3 880177219 +450 1126 4 887661961 +932 185 4 891250392 +941 273 3 875049038 +843 199 3 879446503 +848 479 5 887040302 +553 607 4 879949107 +251 202 4 886271920 +731 133 1 886184852 +380 174 4 885478924 +943 217 3 888640067 +894 350 3 886027788 +397 12 4 885349790 +860 70 5 885991040 +854 156 3 882813574 +332 554 3 888360460 +851 924 4 874789109 +493 262 3 884129793 +587 245 1 892871253 +796 91 2 893219033 +808 270 4 883949560 +71 100 4 877319197 +393 145 3 889731820 +886 367 4 876031622 +27 123 5 891543191 +936 825 4 886832502 +886 381 2 876032308 +747 511 5 888639138 +642 452 1 886569699 +843 660 2 879447484 +295 56 4 879517348 +405 582 3 885546336 +823 88 5 878438780 +20 204 3 879670039 +764 252 3 876244023 +405 657 1 885548578 +615 1128 1 879448715 +897 96 5 879990430 +561 89 4 885809556 +395 258 4 883762309 +429 778 3 882385294 +864 167 4 888891794 +691 243 1 875542944 +617 868 4 883788820 +759 181 5 875227798 +405 86 1 885546154 +721 1 5 877137877 +677 988 4 889399113 +128 1136 3 879969084 +938 596 5 891356532 +234 86 2 892333765 +892 430 5 886608296 +936 319 4 886831576 +940 420 4 885921979 +562 432 5 879196074 +642 827 1 886131332 +805 552 3 881696124 +880 1468 4 880242139 +486 108 4 879874810 +919 382 5 875373214 +934 581 2 891193814 +234 494 4 892078837 +515 259 3 887659123 +772 302 5 877533625 +918 520 3 891987571 +846 526 4 883947960 +869 1079 2 884493021 +328 54 3 885047194 +848 655 4 887040097 +95 623 3 880572388 +497 300 3 878759351 +181 237 5 878962996 +840 642 4 891204664 +447 282 4 878856290 +863 269 3 889288973 +643 79 4 891446826 +620 7 4 889987073 +804 193 4 879444518 +533 921 2 879439061 +683 259 3 893283642 +671 841 2 875388720 +932 632 4 891249649 +892 479 5 886608616 +361 50 5 879441417 +896 184 3 887159578 +784 327 4 891387315 +38 195 1 892429952 +917 473 3 882911390 +825 285 3 880756504 +838 584 4 887066143 +807 1076 3 893082227 +942 478 5 891283017 +927 217 1 879196955 +2 302 5 888552084 +806 234 4 882388036 +892 216 5 886609028 +234 792 4 892336165 +14 525 5 890881557 +637 93 3 882903511 +714 369 3 892777581 +559 347 3 891035343 +627 541 4 879531504 +842 288 3 891218192 +362 683 1 885019722 +862 258 5 879302461 +660 315 4 891197462 +776 219 3 892920321 +90 730 5 891384147 +293 501 4 888906378 +776 590 1 892920446 +892 150 5 886608136 +861 737 3 881274883 +669 474 4 891260369 +574 268 5 891279174 +440 213 4 891577950 +776 179 4 891628678 +528 1254 3 886812920 +659 519 4 891383889 +711 133 5 879992739 +465 127 4 883530667 +588 472 4 890026059 +185 302 4 883526267 +807 228 4 892529448 +788 511 5 880868277 +62 215 3 879374640 +92 922 1 875644796 +621 200 4 874964816 +671 504 4 883949781 +931 100 4 891036430 +770 129 5 875972352 +707 1024 5 890008041 +927 820 4 879177403 +621 79 5 874963594 +798 132 4 875639134 +695 989 3 888806056 +885 181 3 885712280 +305 242 5 886307828 +266 924 2 892258038 +795 108 3 880559483 +30 29 3 875106638 +735 127 4 876698755 +600 802 2 888453082 +881 217 3 876538131 +933 449 1 874939207 +898 310 4 888294441 +660 550 2 891201541 +912 268 2 875965695 +181 1033 1 878963381 +749 483 4 878847540 +38 447 5 892434430 +889 234 4 880177857 +913 56 5 880758974 +449 333 3 879958474 +748 732 4 879454749 +918 208 3 891988002 +116 275 2 876453519 +907 739 5 880159982 +916 405 2 880843579 +821 597 3 874793022 +864 357 5 888887794 +916 238 4 880845011 +250 144 4 878092059 +919 340 5 885059506 +878 451 2 880869135 +933 100 5 874853927 +838 127 5 887063657 +925 672 3 884718099 +826 95 5 885690342 +262 82 3 879794918 +725 328 4 876106729 +206 336 1 888179928 +659 616 4 891386577 +553 178 5 879948460 +862 197 4 879304623 +605 274 3 879425663 +907 235 4 880159222 +894 322 3 879896267 +586 257 3 884057471 +355 1429 4 879485423 +854 705 4 882813963 +805 79 5 881694423 +655 382 3 887427131 +894 1089 2 885428261 +893 69 5 874827818 +919 69 3 875921182 +666 211 4 880139382 +907 129 5 885862428 +643 571 3 891450316 +299 45 3 878192238 +864 402 3 888892128 +864 930 3 888892841 +877 185 4 882678387 +569 291 4 879794348 +880 684 4 880167778 +911 480 4 892838823 +924 896 4 884337242 +517 117 4 892659893 +90 498 5 891383173 +583 200 5 879384404 +795 28 4 880569414 +648 235 4 882212071 +927 1047 4 879181192 +709 693 4 879847082 +877 744 5 882677280 +880 239 4 880174808 +897 705 3 879991226 +864 1109 4 888890639 +826 227 4 885690713 +511 340 4 890004687 +880 95 3 880241219 +834 272 4 890860566 +551 4 2 892783711 +579 25 4 880952335 +807 1016 4 893083991 +576 100 4 886984965 +846 1210 2 883950791 +925 324 4 884633348 +707 692 4 886286092 +268 380 2 875310704 +693 443 2 875483741 +719 254 1 879360298 +373 317 4 877100061 +711 151 4 876185920 +18 116 5 880131358 +627 470 3 879530264 +222 405 3 877563570 +682 168 5 888521381 +733 100 5 879535471 +753 328 3 891401167 +489 876 2 891447218 +897 273 3 879993164 +551 85 1 892783749 +716 98 5 879795336 +877 971 4 882677386 +862 151 5 879304196 +394 928 4 881059902 +933 273 3 874855069 +842 303 5 891218002 +11 324 1 891902222 +25 657 4 885852720 +405 576 1 885548093 +343 1112 3 876406314 +582 240 4 882961804 +782 886 3 891498267 +936 295 3 886832502 +154 172 4 879138783 +863 354 1 889289191 +653 708 2 880152598 +921 50 4 879381051 +896 124 4 887158830 +933 58 3 874855121 +886 1228 2 876034228 +766 519 4 891308968 +896 435 4 887158579 +899 234 4 884122674 +758 211 4 881975736 +827 343 4 882201532 +26 288 4 891347477 +213 98 5 878955598 +22 385 4 878887869 +881 795 2 876539418 +660 271 3 891197561 +781 97 4 879634096 +830 648 5 891464148 +320 774 4 884751552 +755 938 3 882570023 +880 628 2 880166799 +439 1600 5 882893291 +524 226 3 884635085 +491 684 5 891189575 +457 88 4 882397763 +721 1221 3 877139637 +743 181 3 881277931 +880 1 4 880166744 +892 204 4 886608714 +268 747 3 875310412 +387 174 5 886480384 +880 194 5 880174623 +222 762 3 877563530 +923 475 5 880387664 +506 434 4 874876599 +758 300 2 880672402 +919 1073 4 875373416 +416 655 5 893213103 +805 181 3 879971215 +721 1295 3 877137214 +622 228 5 882592815 +905 508 4 884984066 +877 662 5 882677936 +622 501 3 882670480 +551 89 4 892777787 +903 302 4 891380461 +846 1479 3 883948720 +537 569 2 886032183 +854 171 4 882814333 +641 301 4 879369925 +326 478 3 879875083 +747 195 4 888640136 +665 222 3 884290676 +921 257 3 879379898 +721 266 3 877136967 +899 237 4 884120026 +934 157 2 891194498 +543 168 3 875663170 +419 494 3 879435749 +120 50 4 889489973 +588 1311 1 890029079 +825 98 5 881101641 +776 238 4 891628708 +943 41 4 888640251 +99 1047 4 885679472 +880 287 4 892958966 +451 990 3 879012684 +606 441 4 880927750 +401 610 4 891033651 +52 191 5 882923031 +533 521 3 879191022 +916 89 5 880844241 +223 121 3 891549294 +846 660 3 883948765 +763 845 4 878918712 +886 65 3 876031870 +672 237 2 879787811 +95 1222 2 880572602 +939 546 4 880261610 +908 528 4 879722397 +823 227 1 878439497 +894 689 3 880993390 +524 175 3 884634911 +629 160 4 880117361 +883 886 3 892439422 +917 312 2 882910627 +47 262 5 879439040 +788 670 3 880870935 +938 591 3 891356463 +691 735 5 875543228 +489 898 3 891366652 +748 479 4 879454428 +921 472 2 879380057 +943 92 5 888639660 +554 1284 3 876232053 +674 410 3 887763150 +805 431 1 881694713 +773 948 2 888538438 +796 33 3 893048471 +7 441 2 891354257 +867 198 5 880078723 +189 186 2 893266027 +293 628 3 888905004 +796 783 4 893047691 +733 846 2 879535848 +21 876 2 874950932 +354 210 3 891217717 +496 661 3 876067001 +933 679 1 874939078 +435 8 3 884131576 +758 582 3 881974823 +655 367 3 887428031 +49 1069 3 888068912 +804 174 5 879441476 +297 1109 3 875238922 +561 55 4 885808796 +918 83 4 891987914 +748 182 4 879454630 +712 90 3 874957027 +835 194 4 891034143 +405 110 1 885547506 +429 182 4 882384821 +881 1078 3 876539260 +684 477 5 878759560 +504 154 4 887839081 +501 1097 5 883347950 +751 689 2 888871738 +699 532 3 878882410 +507 307 5 889964239 +472 1029 4 875983321 +715 206 4 875964438 +663 749 3 889491617 +916 174 5 880844569 +449 1010 4 879958664 +756 82 3 874830748 +109 871 2 880572350 +921 760 2 879380164 +664 516 5 876525963 +663 259 2 889491861 +724 331 3 883757468 +833 347 3 887158791 +826 771 3 885690900 +671 1303 3 884036365 +94 559 4 891721777 +751 323 1 888871598 +899 190 4 884121051 +867 423 3 880078991 +376 705 3 879434750 +508 174 4 883767728 +450 516 5 882396564 +313 531 3 891014524 +722 597 3 891281710 +813 690 4 883752331 +731 195 1 886185851 +87 849 5 879875996 +286 240 3 876521858 +590 293 3 879439114 +645 198 3 892053644 +601 431 4 876351413 +544 301 2 884795580 +702 307 2 885767336 +419 300 4 879435347 +654 15 3 887863557 +125 571 3 892838827 +924 519 4 886759888 +548 413 3 891416049 +64 197 3 889737506 +657 455 1 884239498 +917 328 2 882910506 +682 944 3 888522073 +541 395 2 883866300 +298 282 4 884125629 +299 61 4 877880648 +851 4 5 875731489 +837 717 1 875722393 +897 646 5 879994113 +835 310 4 891035309 +875 286 3 876464694 +23 173 5 874787587 +592 260 4 882607690 +59 392 2 888206562 +846 195 4 883948141 +525 713 4 881086393 +92 433 5 875654665 +859 3 5 885775513 +332 302 5 893027264 +737 174 2 884314740 +632 651 5 879459738 +825 105 3 889021208 +474 448 5 887925751 +763 87 2 878919019 +693 628 4 875483020 +846 941 2 883949379 +339 178 5 891033310 +671 553 5 884036846 +871 752 3 888192744 +654 82 5 887864797 +870 193 5 889717102 +345 218 3 884992218 +861 381 4 881274780 +717 258 5 884642133 +821 483 5 874793517 +934 657 3 891191027 +110 403 3 886988134 +740 258 3 879522681 +551 245 3 892775723 +532 523 5 888637085 +912 655 5 875966320 +916 806 4 880844552 +299 179 4 878191943 +699 328 2 885775345 +279 644 1 875306552 +514 196 5 875318331 +870 21 3 876319159 +892 133 3 886609149 +830 127 4 891464054 +938 252 4 891357042 +551 790 2 892783942 +933 22 5 874853634 +896 258 5 887157258 +621 235 3 880738142 +92 855 5 875653162 +844 95 4 877388040 +864 531 5 888887739 +934 70 4 891195713 +551 96 5 892777987 +715 237 4 875962280 +679 290 2 884487715 +846 392 2 883950185 +938 245 3 891356282 +505 243 2 888631415 +913 189 3 881367594 +832 50 3 888260089 +870 1210 1 879902161 +435 366 2 884133134 +902 127 3 879464726 +804 187 4 879441973 +109 1139 2 880583463 +933 636 2 874939105 +820 358 1 887954972 +923 975 4 880388245 +932 486 5 891251177 +864 768 3 888890776 +665 271 2 884290055 +932 230 4 891251153 +537 45 3 886031786 +280 12 5 891700803 +458 64 4 886396005 +919 151 4 875289025 +597 286 3 875338983 +934 805 4 891194221 +484 125 4 881450017 +919 288 4 875288164 +345 286 3 884900521 +461 305 2 885355757 +914 778 5 887122085 +771 98 1 880659990 +577 732 4 880474414 +393 934 3 887745544 +655 535 2 888685914 +925 567 3 884718156 +434 424 1 886724913 +843 200 3 879447801 +269 1361 4 891446756 +897 180 5 879991007 +738 1016 3 875348912 +782 330 4 891498213 +905 117 3 884984066 +402 1284 3 876266984 +738 54 3 875351872 +697 225 3 882622680 +896 257 4 887235105 +176 257 1 886048188 +650 385 4 891381585 +918 70 3 891988248 +932 1139 2 891251562 +526 591 4 885682503 +864 79 5 888887830 +889 318 4 880180265 +659 155 3 891386540 +698 66 3 886367100 +297 284 4 874954497 +655 690 2 887477489 +805 71 3 881695560 +864 373 2 888892053 +472 549 5 892791063 +593 272 5 888871874 +565 923 4 891037333 +643 47 4 891446791 +159 9 3 880485766 +650 657 4 891372339 +911 478 5 892838823 +397 358 2 882838937 +293 98 4 888905898 +632 12 5 879456910 +894 1007 3 880416072 +846 142 3 883950053 +54 148 3 880937490 +763 85 4 878918960 +90 23 5 891384997 +892 181 4 886608212 +831 173 3 891354798 +823 715 5 878439065 +878 265 3 880866626 +327 249 2 887744432 +296 498 5 884197352 +867 197 4 880078796 +483 676 4 878950972 +151 73 4 879528909 +664 764 4 878092758 +758 608 5 881975182 +24 276 5 875322951 +429 479 4 882385358 +693 172 3 875483947 +445 1016 1 891200164 +892 684 5 886608743 +796 705 4 892690263 +76 96 5 875312034 +782 255 4 891499321 +773 240 2 888539273 +562 234 5 879196074 +452 210 4 875561852 +198 93 3 884205346 +927 229 3 879191722 +756 1031 2 874830819 +435 722 3 884133818 +757 228 4 888466461 +835 287 4 891035309 +727 879 4 883708208 +711 316 4 889911048 +943 50 4 875501835 +907 237 5 880159059 +561 159 1 885809356 +103 56 5 880416602 +880 554 3 880168411 +913 15 3 881367770 +870 1664 4 890057322 +924 605 3 885457975 +303 542 2 879484194 +871 989 3 888192744 +642 357 2 885603565 +919 191 5 875373824 +500 93 4 883865020 +934 650 4 891195503 +451 245 2 879012550 +363 224 4 891495682 +865 456 1 880144405 +889 604 3 880178342 +883 750 3 891691485 +890 7 4 882402739 +663 174 5 889493540 +551 215 4 892778035 +589 877 4 883352562 +786 265 4 882842946 +454 132 2 888266874 +936 100 4 886832092 +599 546 4 880953441 +666 655 4 880139439 +301 155 1 882078308 +911 625 5 892840807 +930 100 3 879534506 +644 308 4 889076095 +760 845 5 875666110 +612 127 2 875325049 +629 39 2 880117747 +825 323 4 881185672 +349 713 3 879465673 +611 302 5 891636073 +852 100 4 891036457 +875 45 3 876465072 +244 121 1 880604583 +797 1023 3 879439519 +489 683 2 891449099 +934 191 5 891190695 +918 498 4 891987025 +632 51 4 879459166 +716 135 3 879795071 +462 346 1 886365928 +885 338 3 885712224 +942 124 4 891283068 +868 80 2 877111453 +805 121 3 881694885 +407 650 2 875044400 +467 302 4 879532127 +581 137 5 879641787 +886 1093 1 876032654 +389 240 3 879916254 +921 659 5 884673799 +320 292 3 884748299 +77 42 5 884752948 +861 20 4 881274857 +815 98 4 878693183 +682 117 4 888522455 +943 367 4 888639679 +504 125 4 889550735 +715 17 3 875964105 +878 956 2 880866810 +936 237 4 886832672 +919 282 4 875289113 +326 701 4 879876141 +896 19 2 887159211 +905 591 4 884983951 +804 479 4 879441542 +816 322 4 891710922 +279 165 4 875310233 +774 64 3 888556517 +38 420 5 892429347 +845 242 4 885409493 +782 50 3 891499243 +868 12 5 877103834 +224 378 4 888103775 +566 94 2 881651636 +883 216 4 891694249 +913 22 5 881369920 +276 175 5 874787376 +130 117 5 874953895 +56 28 5 892678669 +533 820 2 887032380 +650 62 3 891381784 +586 67 5 884067059 +554 191 5 876243914 +482 682 3 887644022 +889 86 4 880180191 +328 176 5 885046052 +934 510 5 891193751 +648 82 5 884882742 +603 7 5 891956075 +280 1063 3 891700607 +839 458 5 875751893 +865 408 5 880143385 +496 88 1 876067346 +881 257 5 876536040 +802 565 3 875985976 +290 120 4 880732712 +595 1047 2 886921769 +795 2 3 883252599 +825 833 4 881101329 +886 546 1 876031550 +715 235 2 875962140 +750 258 3 879445755 +942 414 4 891282857 +930 24 1 879535015 +892 29 2 886610565 +899 498 4 884121767 +910 127 5 880822060 +761 508 1 876190206 +933 183 4 874853819 +804 1260 3 879445660 +776 134 4 892210460 +405 95 3 885548785 +916 382 4 880844674 +345 941 3 884993932 +889 291 3 880182815 +712 83 4 874730396 +234 659 3 892078660 +94 151 5 891721716 +757 95 4 888467270 +785 50 5 879439021 +912 498 5 875965830 +533 1142 4 888347670 +747 521 5 888640567 +526 245 2 885682124 +912 610 4 875966027 +894 345 4 884036815 +211 890 2 879461395 +911 431 4 892842368 +560 515 3 879976109 +641 432 5 879370119 +934 86 3 891191831 +815 559 3 878695877 +663 652 4 889493540 +919 303 4 875920245 +393 1058 4 887746916 +775 305 4 891032837 +694 15 4 875728842 +621 804 4 881445120 +843 423 2 879448019 +913 143 5 881725761 +207 792 2 876079016 +883 26 3 891693139 +919 1197 4 875288613 +550 257 4 883425337 +615 629 4 879449184 +719 382 2 879360965 +864 797 3 888892539 +59 86 3 888205145 +515 895 4 887659123 +920 286 2 884219953 +788 371 3 880870626 +793 127 5 875103773 +927 1 5 879191524 +757 554 3 888466683 +871 566 3 888193337 +782 1384 3 891500110 +910 684 4 880821696 +747 204 5 888732899 +659 712 3 891386307 +940 678 4 884801316 +486 813 5 879874516 +753 183 1 891401798 +840 521 5 891205069 +25 86 4 885852248 +866 340 2 891221165 +294 294 4 877818860 +606 185 3 880926759 +540 121 2 882157148 +910 310 3 881420170 +682 81 3 888517439 +782 269 3 891497698 +933 163 2 874938309 +752 902 5 891208452 +500 402 3 883875388 +846 558 4 883948221 +848 451 4 887042377 +358 208 2 891270510 +727 173 5 883710437 +833 802 1 887158946 +869 249 4 884493279 +846 386 3 883950154 +519 991 2 883250021 +931 304 4 891036105 +907 427 5 880159821 +912 646 3 875966429 +435 430 5 884131712 +631 873 2 888465084 +938 742 3 891356702 +932 474 5 891250418 +94 293 4 891724044 +875 23 5 876466687 +763 955 2 878917433 +851 161 3 875731490 +938 926 3 891357137 +716 1269 4 879795122 +896 100 3 887158294 +918 704 4 891988123 +294 295 4 877820132 +434 1 4 886724590 +922 432 5 891448551 +349 25 3 879465966 +533 609 4 879191184 +865 1 1 880143424 +896 211 4 887159554 +841 888 5 889067432 +103 98 3 880420565 +316 304 3 880853193 +332 550 5 887939092 +693 117 4 875483977 +679 483 5 884487010 +795 423 2 881265617 +919 118 4 875373582 +904 88 3 879735710 +893 220 3 874829187 +919 9 5 875288749 +555 235 3 879964209 +553 134 4 879948806 +892 196 4 886609622 +763 1098 3 878919083 +56 871 2 892910207 +552 1 3 879221716 +721 284 4 877141038 +477 111 5 875941763 +801 268 5 890332645 +880 23 5 880175735 +638 210 4 876695478 +621 585 4 874962988 +790 1047 3 885157621 +825 1049 3 880756834 +334 518 4 891547334 +49 300 1 888065577 +544 302 5 884795135 +523 168 4 883701962 +828 985 3 893186246 +297 153 5 875240053 +293 1119 1 888906655 +551 366 5 892784049 +916 157 4 880845011 +96 423 5 884403057 +788 323 3 880867855 +821 22 5 874793418 +892 239 4 886609829 +747 476 3 888733595 +716 696 2 879794615 +406 98 4 879446529 +642 402 4 885603792 +279 744 2 892864943 +758 176 5 882055987 +707 313 2 886288754 +900 661 4 877833747 +916 172 5 880843997 +403 282 5 879786052 +823 742 4 878438535 +889 135 2 880180101 +521 597 2 884476302 +919 137 2 875288749 +774 561 1 888557772 +532 407 2 874794386 +782 994 2 891500194 +854 343 3 882811773 +766 837 3 891309878 +406 286 3 879445250 +606 235 3 880922566 +114 527 3 881309586 +486 302 5 879873973 +903 210 4 891033541 +801 271 5 890332929 +936 988 3 886831912 +381 225 3 892697495 +923 544 4 880387507 +524 150 2 884832650 +551 686 3 892783829 +815 144 4 878693989 +646 307 3 888528902 +798 1102 4 875637680 +893 50 5 874829883 +840 1674 4 891211682 +942 678 3 891282673 +192 287 4 881368016 +606 198 4 880927665 +658 235 2 875145572 +747 659 4 888639175 +864 672 2 888889389 +893 819 3 874829355 +753 89 3 891402240 +897 371 2 879991007 +877 86 4 882677827 +805 371 1 881696759 +893 24 4 874828649 +514 1101 4 886189893 +847 164 3 878941056 +49 813 3 888068686 +693 134 4 875484539 +99 473 4 885679353 +881 70 2 876539220 +930 1010 2 879534692 +606 188 4 880924921 +878 153 5 880866177 +477 274 5 875941763 +872 685 4 888479348 +664 58 4 876525292 +712 501 3 874957140 +870 736 1 879901654 +312 83 4 891699538 +751 210 5 889133106 +666 192 4 880139615 +383 185 5 891192985 +312 525 5 891698424 +794 257 4 891036265 +711 91 4 879994413 +705 588 3 883427640 +758 345 5 883806413 +904 535 3 879735404 +708 880 3 892718919 +453 781 3 888206022 +896 288 3 887235788 +896 199 3 887158005 +896 79 5 887158384 +894 1295 3 879896268 +537 315 4 886029116 +889 82 4 880180122 +943 585 1 888640250 +881 79 4 876537825 +876 318 5 879428406 +504 153 3 887838624 +109 595 3 880572108 +833 284 1 885328485 +672 220 2 879787729 +308 530 4 887736584 +705 797 4 883428258 +634 111 4 875729794 +730 268 4 880309927 +773 29 2 888540218 +880 376 3 880175239 +661 665 3 876035999 +860 262 4 874967063 +138 497 5 879023947 +295 132 5 879517348 +933 452 1 874938808 +647 147 4 876532975 +463 269 5 877384802 +75 864 4 884049876 +871 97 3 888193541 +643 1215 3 891446489 +936 13 4 886832596 +714 257 3 892776410 +921 237 3 879379562 +213 70 3 878955766 +22 265 3 878888066 +379 317 5 880525001 +790 403 4 885157036 +773 367 2 888539576 +833 410 3 878078390 +782 361 3 891498139 +99 433 4 886780105 +11 11 2 891904271 +932 503 4 891249962 +764 69 5 876244991 +284 315 5 885329593 +784 340 3 891387895 +929 197 3 880817780 +918 972 5 891988054 +585 313 3 891281385 +862 406 4 879303843 +468 44 4 875302208 +630 471 4 885666955 +889 96 4 880181015 +264 173 5 886123358 +716 465 5 879797177 +682 586 1 888522700 +244 455 2 880604503 +846 509 4 883948765 +291 582 4 875087720 +486 825 2 879875188 +663 833 4 889492796 +628 301 4 880777046 +790 1014 2 884462551 +690 514 1 881177430 +641 258 3 879369806 +878 1092 3 880867444 +311 415 3 884365654 +880 91 3 880241256 +457 1221 4 882549438 +807 596 4 892530792 +880 411 4 880167328 +804 476 3 879443852 +674 181 4 887762603 +537 303 4 886028706 +829 10 3 881707829 +305 127 5 886322412 +788 148 3 880869215 +11 747 3 891906426 +690 443 3 881179937 +645 959 4 892053541 +579 294 4 880951494 +291 562 4 874835242 +655 916 2 892436455 +893 121 4 874830313 +711 549 4 879994719 +751 94 3 889298964 +661 218 3 876035933 +771 82 2 880659686 +829 212 4 881699005 +49 121 1 888068100 +581 936 3 879643155 +200 523 4 884129627 +906 284 4 879435469 +878 690 2 880865230 +877 306 3 882675993 +922 367 3 891452743 +823 919 4 878438206 +82 660 5 878769848 +10 604 4 877892110 +820 347 4 887954853 +915 691 4 891030108 +918 42 3 891987059 +682 401 1 888522260 +936 1171 5 886832757 +435 409 3 884134019 +343 478 5 876404499 +921 185 3 879380826 +758 237 4 881976377 +843 482 2 879447007 +130 444 4 880396495 +683 258 3 893282978 +729 346 1 893286168 +257 936 4 882050151 +682 147 1 888523619 +747 127 5 888639362 +378 25 4 880044489 +744 483 4 881171452 +740 1038 4 879523187 +716 1126 3 879796138 +892 288 4 886610626 +756 1652 1 874828198 +760 748 4 875665867 +721 1026 3 877137214 +804 40 3 879445739 +22 233 3 878888066 +493 435 5 884132015 +864 201 5 888887172 +326 56 2 879875691 +606 1065 5 880924323 +92 1210 1 875907179 +533 740 4 879192815 +890 448 2 882915661 +662 1511 4 880570301 +870 659 4 875680020 +454 1089 2 881959437 +935 620 2 884472627 +880 475 4 880166798 +881 473 2 876536636 +892 511 5 886608296 +639 865 1 891239427 +881 120 2 879052376 +682 62 3 888522541 +660 301 3 891197661 +902 79 5 879465952 +871 269 3 888192970 +711 969 5 886030557 +64 503 4 889740342 +731 608 4 886183515 +938 237 2 891356549 +840 653 5 891209389 +788 531 4 880868144 +932 1456 4 891250891 +932 502 4 891249710 +512 186 5 888579520 +339 644 5 891033200 +541 1030 3 885595972 +930 257 4 879535392 +800 15 4 887646631 +655 1142 2 891585344 +796 573 4 893218521 +588 447 3 890026009 +375 234 5 886621917 +788 159 3 880869135 +253 966 5 891628181 +763 198 5 878915958 +592 984 1 882607690 +880 794 4 880243265 +535 277 5 879619107 +846 51 4 883949121 +406 101 3 879793112 +846 1041 4 883950791 +679 318 5 884486812 +927 426 4 879191432 +918 1172 3 891987622 +618 1063 3 891308459 +804 483 5 879441627 +815 159 3 878694306 +509 271 4 883591195 +860 663 3 885991101 +871 301 4 888192475 +932 82 3 891251246 +13 429 5 884538727 +848 523 5 887042341 +787 345 3 888979007 +269 739 1 891451431 +734 230 2 891022803 +851 815 3 874767550 +653 1042 2 880151488 +924 527 4 885458009 +318 143 5 884495944 +911 26 4 892840048 +843 1157 3 879444114 +894 237 4 880416176 +913 258 4 889331049 +919 124 3 875288522 +934 624 4 891193290 +793 742 3 875104648 +548 176 4 891044355 +864 1140 1 888892491 +655 1245 3 887426087 +561 99 3 885808673 +279 544 1 890451433 +44 97 2 878348000 +805 213 3 881696699 +886 55 4 876031622 +178 1028 3 882824670 +852 506 4 891037917 +567 513 4 882426719 +907 312 5 885860416 +608 287 3 880406950 +16 66 4 877719075 +797 294 3 879439105 +495 240 4 888636773 +776 559 4 892920351 +601 473 3 876347665 +682 65 3 888517416 +117 282 5 880126295 +1 152 5 878542589 +933 393 2 874938371 +806 180 4 882388082 +177 160 4 880131011 +41 135 4 890687473 +658 198 5 875148108 +221 38 2 875246506 +622 1149 3 882592314 +514 421 4 875463269 +657 873 3 884238614 +659 505 4 891385769 +500 1057 3 883877359 +823 517 5 878437658 +919 111 4 875288681 +892 300 4 886607521 +445 183 2 890987687 +836 187 5 885754200 +705 471 5 883427339 +650 602 4 891371116 +305 97 4 886322560 +812 302 3 877625109 +303 191 5 879466937 +567 494 5 882425932 +919 147 4 875289322 +554 1028 3 876551044 +338 990 4 879437607 +758 117 4 881976203 +560 222 4 879976706 +913 408 5 880758348 +829 105 3 881711924 +435 603 3 884131118 +623 274 4 891034053 +639 60 3 891239790 +862 176 5 879304672 +373 178 4 877099352 +896 91 2 887159369 +279 7 5 891209102 +804 291 4 879443819 +930 143 2 879535462 +280 183 3 891700588 +561 9 4 885807546 +838 1039 5 887065782 +929 144 3 879640394 +315 288 3 879821349 +709 762 3 879848925 +588 301 5 890015021 +21 53 4 874951820 +630 1079 1 885667508 +642 257 5 886131546 +942 318 5 891282903 +891 127 4 883431353 +21 273 4 874951349 +883 70 3 891693169 +492 1121 2 879969720 +747 196 2 888640046 +499 56 4 885599182 +875 134 5 876465188 +899 414 2 884122228 +606 588 5 880923862 +642 1055 4 886569483 +839 333 4 875751442 +130 1278 5 876251127 +3 346 5 889237455 +887 1060 5 881378570 +719 255 2 883981599 +387 581 4 886483394 +382 756 3 875946185 +922 411 1 891455379 +769 13 4 885424214 +889 705 4 880178287 +904 785 5 879735731 +582 328 3 882960555 +870 1044 2 879714772 +729 894 1 893286511 +916 137 5 880843482 +749 433 3 878848217 +892 483 5 886607642 +938 118 5 891356799 +929 589 5 880817708 +846 187 4 883947911 +458 69 2 886397988 +645 202 3 892053518 +630 546 3 885667056 +889 959 3 880182103 +407 101 3 876338186 +935 181 4 884472039 +654 248 2 887863596 +330 496 5 876546172 +559 652 4 891035633 +896 69 5 887158768 +833 180 5 875123677 +932 523 4 891250080 +923 121 4 880387908 +650 153 4 891382138 +830 228 3 891561607 +896 661 4 887158384 +465 835 3 883531026 +788 192 4 880868838 +940 264 1 884801053 +901 321 1 877129839 +916 98 5 880844038 +911 87 5 892839056 +85 333 1 886282927 +691 772 5 875543281 +449 70 4 880410777 +907 172 4 880160008 +739 749 5 886825529 +847 157 1 878940463 +268 116 4 875306760 +484 393 1 891195246 +897 405 5 879993042 +932 99 4 891250236 +842 902 5 891218459 +524 1107 4 884636262 +833 26 1 875133661 +312 199 5 891698516 +293 162 3 888907312 +773 196 4 888540467 +374 117 5 880392846 +833 153 3 875038709 +881 651 5 876539549 +435 441 3 884133084 +239 203 1 889179291 +900 9 2 877832868 +943 427 4 888639147 +601 208 4 876350017 +577 97 5 880472153 +838 153 4 887066783 +896 300 2 887157234 +595 108 2 886921634 +770 323 5 875971612 +831 22 5 891354573 +829 475 4 891990718 +269 378 3 891449962 +868 65 2 877104212 +815 228 5 878694735 +682 804 3 888521740 +521 239 5 885254354 +625 732 3 891263960 +158 7 5 880132744 +374 477 1 885107929 +627 385 2 879531351 +894 271 2 880993335 +882 746 4 879865163 +908 663 3 879723022 +56 66 3 892911110 +932 513 5 891250316 +756 403 2 874828826 +659 526 5 891332224 +378 1091 2 880332911 +907 742 5 880158939 +931 281 3 891036883 +917 289 4 882910457 +184 95 4 889908801 +938 100 5 891356350 +885 1030 1 885713975 +642 400 4 886569278 +361 692 4 879440774 +407 73 4 892060474 +773 522 4 888539328 +803 322 2 880055043 +792 1164 3 877910629 +389 347 4 887868071 +894 52 4 882404507 +478 32 3 889395678 +527 9 5 879455873 +806 318 5 882387484 +916 1079 2 880843811 +621 148 4 880739654 +710 887 2 882063612 +894 595 3 880993632 +882 470 4 879867816 +715 101 3 875964131 +825 321 3 886697076 +733 9 3 879535406 +548 328 4 891042954 +923 1 3 880387306 +830 151 3 891560596 +847 602 3 878940732 +932 168 5 891250746 +329 127 4 891655741 +493 274 5 884131480 +167 1125 5 892738419 +823 168 5 878437658 +188 187 3 875072211 +496 419 2 876066874 +936 1323 4 886833281 +916 226 3 880845177 +727 447 3 883713194 +464 249 2 878355119 +749 178 4 878847540 +896 245 4 887235265 +864 108 3 888891627 +28 434 4 881961104 +588 382 3 890024730 +442 96 4 883390328 +913 172 5 881726004 +537 1048 2 886030381 +895 222 3 879437965 +574 312 4 891279410 +782 254 2 891499660 +901 429 5 877132301 +324 321 3 880575002 +868 155 2 877111623 +648 249 3 882211348 +766 294 2 891307007 +551 302 3 892775389 +43 202 5 875981190 +911 473 3 892840996 +890 133 5 882402518 +537 345 4 886028446 +747 100 5 888639397 +310 1142 5 879436467 +770 111 5 875972059 +897 185 5 879991137 +643 5 3 891449741 +834 298 4 890862648 +573 495 2 885844339 +654 455 3 887863826 +5 368 1 875635457 +85 181 4 882813312 +889 947 4 880181225 +849 38 5 879695420 +916 273 3 880843361 +531 313 5 887049364 +901 1035 4 877131793 +670 515 2 877974699 +804 820 4 879444115 +442 405 3 883390497 +939 274 5 880261334 +939 252 3 880261185 +805 1071 4 881705456 +474 411 2 887915684 +864 1425 2 888890475 +650 635 3 891370155 +37 62 5 880916070 +646 354 3 888528902 +774 217 2 888557772 +610 485 5 888703815 +656 340 3 892318488 +269 1267 1 891448643 +938 220 4 891357085 +181 280 4 878963381 +339 518 5 891033984 +854 476 3 882813219 +907 220 5 880159360 +887 578 4 881381610 +834 342 2 890860334 +601 660 3 876349937 +416 17 2 886318084 +807 139 2 893082430 +705 416 3 883427716 +924 1149 3 888351470 +556 135 2 882136252 +919 277 5 875288805 +907 988 3 880158612 +864 230 2 888889129 +896 483 3 887158333 +823 686 4 878439257 +286 367 5 877531574 +707 479 3 886286092 +642 131 3 885603566 +294 333 4 877818861 +943 185 2 888639370 +749 405 2 878848673 +908 264 3 879722206 +286 537 4 889651402 +640 1010 3 886474753 +400 313 5 885676316 +781 523 5 879634038 +672 1190 2 879789437 +201 440 2 884114770 +795 436 3 883767338 +634 269 4 890779855 +759 323 4 875227724 +943 403 4 888639746 +385 448 3 879448263 +804 145 3 879446276 +716 195 1 879795425 +882 230 5 879867508 +504 248 4 887831622 +934 1203 5 891193013 +566 521 4 881649802 +837 181 3 875721869 +943 401 1 888639867 +917 3 1 882911567 +751 658 3 889133106 +741 724 4 891019625 +843 228 4 879443763 +933 515 3 874854062 +749 356 4 878847804 +109 410 1 880564534 +125 222 5 892836465 +932 399 4 891251798 +655 1262 3 891585279 +881 447 4 876538953 +932 526 5 891250746 +851 339 4 888540093 +934 602 3 891195063 +450 1480 3 882468686 +533 147 1 884698117 +692 1 4 876953340 +44 183 4 883613372 +865 831 1 880144480 +917 255 3 882911158 +798 699 3 875303502 +719 137 1 884899841 +189 523 4 893265596 +409 178 5 881107817 +328 68 3 885048198 +870 170 5 875050637 +936 343 3 886831576 +789 762 3 880332232 +749 1440 3 878849534 +747 488 5 888640524 +65 9 5 879217138 +829 845 3 891990650 +622 742 3 882590420 +712 204 4 874956810 +321 428 4 879441336 +610 317 3 888703553 +611 315 5 891636098 +280 585 3 891702441 +648 211 4 884368643 +919 181 4 875289250 +864 121 4 877214085 +303 634 3 879467035 +833 1353 3 875035885 +863 355 4 889289419 +749 420 4 878849682 +664 230 3 876526659 +458 483 5 886396460 +798 402 3 875916297 +795 208 4 881252835 +407 288 4 890687293 +846 428 3 883948377 +653 182 3 878854051 +716 190 5 879797152 +709 738 1 879849330 +324 742 5 880575493 +201 1137 4 884111830 +761 201 2 876190511 +650 89 4 891381585 +65 392 5 879217689 +305 173 3 886322670 +551 546 2 892784673 +746 135 1 885075655 +500 242 3 891916883 +393 774 4 889731673 +145 53 2 875272245 +627 518 4 879530146 +806 96 5 882389908 +858 127 5 880932912 +861 213 5 881274759 +751 479 2 889132776 +804 218 4 879445072 +805 477 4 881705810 +608 1281 4 880407079 +886 1467 5 876033987 +24 151 5 875322848 +584 50 4 885777950 +774 177 4 888557277 +429 472 3 882387434 +758 204 4 881975787 +680 257 4 877075273 +528 213 4 886101505 +406 601 3 882480749 +323 1048 3 878739594 +593 40 1 875671757 +6 202 3 883602690 +922 431 4 891447723 +406 154 5 879792811 +840 176 3 891204755 +537 462 3 886030805 +883 207 3 891693012 +774 421 1 888558128 +715 100 2 875961816 +532 347 4 884594422 +699 591 2 880696196 +731 1275 1 886186940 +442 450 3 883391377 +536 1050 5 882360124 +860 327 3 880829225 +452 213 4 875265265 +521 181 4 884475845 +821 504 4 874793848 +828 345 1 891035438 +537 527 4 886031860 +774 82 2 888557277 +757 638 3 888468871 +421 79 4 892241459 +881 72 2 876539220 +123 321 4 879809220 +474 647 4 887924571 +916 640 4 880845157 +72 649 4 880036783 +314 932 4 877887316 +805 1105 2 884881781 +748 227 3 879455150 +932 89 5 891249586 +727 198 4 883710687 +435 201 4 884131356 +918 656 4 891986609 +660 1139 2 891201966 +642 686 5 886131546 +366 758 3 888857684 +846 560 1 883950889 +717 245 4 884641842 +648 176 4 884367538 +721 739 4 877139551 +749 155 2 878849829 +690 47 1 881179469 +578 1016 4 888957666 +887 228 4 881380709 +749 203 4 878848639 +936 1315 3 886833191 +919 1119 3 875373824 +459 298 3 879562895 +890 205 5 882405473 +435 635 3 884133544 +864 204 5 888888937 +738 655 3 875350456 +577 68 4 880475021 +877 1402 4 882677386 +868 655 4 877107996 +798 83 4 875303683 +936 289 5 886831769 +711 51 4 879994778 +526 123 3 885682614 +806 88 4 882390191 +907 107 5 880158939 +840 199 4 891209183 +918 507 5 891987363 +401 188 1 891033267 +934 303 4 891188441 +382 168 4 875946700 +347 363 1 881653244 +875 480 5 876465275 +262 234 3 879794359 +807 496 5 892528918 +843 427 2 879446281 +904 1074 4 879735710 +921 797 3 879381287 +913 4 4 874786460 +881 498 4 876537577 +556 243 1 882135994 +327 529 3 887822770 +844 100 4 877381607 +871 1176 3 888192858 +474 59 3 887923708 +884 212 4 876859238 +846 192 5 883949254 +631 886 4 888465216 +848 430 5 887041354 +532 1011 5 893119491 +873 326 4 891392656 +834 245 4 890860416 +889 737 3 880181515 +77 228 3 884753105 +808 327 5 883949986 +747 715 5 888733274 +360 137 5 880354379 +648 904 2 884794555 +23 73 3 874787016 +308 429 4 887737890 +660 636 2 891200704 +889 208 4 880181275 +940 879 3 889480535 +901 142 4 877131739 +457 356 4 882547670 +892 477 4 886609551 +537 1404 2 886032204 +234 2 2 892335142 +937 283 4 876769212 +772 271 4 889028773 +666 236 4 880313250 +790 176 3 885155489 +815 588 5 878693906 +851 261 3 877831111 +62 151 5 879372651 +804 235 5 879443736 +698 496 3 886366690 +588 356 4 890025751 +682 1311 3 888518035 +618 588 4 891307224 +833 1006 1 875039153 +666 642 5 880139586 +291 833 3 874834236 +721 228 5 877138585 +896 802 2 887161172 +903 509 4 891033380 +902 301 2 879463373 +389 487 5 879991115 +800 405 4 887646705 +454 527 4 881960201 +918 151 2 891988646 +592 603 5 882955543 +845 303 1 885409374 +844 125 3 877382269 +279 1496 3 875298419 +806 702 3 882388795 +862 651 5 879304624 +398 708 3 875747159 +533 243 3 879193517 +561 566 3 885809873 +385 92 3 879443217 +426 496 3 879442841 +339 790 2 891034151 +758 307 3 880672345 +181 815 3 878963168 +13 188 4 882140130 +707 345 5 886285168 +642 181 5 885603699 +782 1608 3 891499399 +457 569 3 882549356 +577 5 4 880475318 +749 181 5 878846998 +648 377 3 884881837 +882 291 4 879862936 +758 270 4 889062124 +788 153 3 880868277 +571 144 2 883354992 +88 326 5 891038103 +851 687 2 874728168 +174 1017 2 886434187 +641 528 4 879370150 +758 393 4 881979012 +417 473 2 879646860 +862 432 5 879304902 +459 125 4 879563169 +930 709 4 879535663 +351 304 3 879481675 +87 180 4 879875649 +924 181 3 884371535 +787 906 1 888979721 +871 271 5 888192349 +796 662 5 893047207 +919 293 4 875288681 +937 237 4 876769530 +295 416 4 879518630 +639 61 3 891239790 +862 91 5 879304762 +774 218 1 888557739 +916 52 5 880844813 +881 243 2 876535663 +655 815 2 887651149 +609 15 5 886895150 +854 322 1 882811865 +619 182 4 885954019 +551 895 3 892775752 +460 870 2 882912469 +151 705 5 879524778 +794 187 5 891035117 +503 529 2 880383030 +927 1178 2 879192052 +940 171 2 885921401 +897 763 3 879993404 +934 226 4 891191831 +318 944 2 884497208 +639 100 1 891240495 +521 204 4 884477853 +880 407 1 880175503 +214 55 4 892668197 +833 1628 3 875225219 +932 448 2 891251588 +922 385 3 891450586 +864 183 4 888888115 +864 189 4 888889268 +933 177 4 874854994 +336 173 5 877757637 +796 62 4 893048562 +929 496 3 879640256 +514 433 5 875462795 +622 769 1 882672922 +442 2 3 883390544 +715 1222 2 875965035 +751 315 3 887134587 +130 233 4 875801750 +559 167 3 891035840 +883 580 3 891693200 +889 210 4 880178342 +62 924 1 879373175 +851 1120 2 890343707 +561 1210 1 885810813 +934 705 4 891191778 +908 144 4 879722850 +870 12 4 875050748 +675 269 5 889488487 +697 986 1 882622680 +924 276 2 884371386 +399 47 3 882511093 +880 940 3 880175157 +886 204 3 876031932 +545 692 3 879900654 +536 386 4 882361162 +577 125 4 880470604 +934 144 4 891192087 +917 121 1 882911567 +738 240 3 875350385 +921 174 5 884673780 +901 756 4 877126935 +840 179 5 891205069 +886 209 4 876031850 +276 772 4 874790826 +936 7 4 886832221 +763 703 5 878923433 +932 462 4 891249038 +843 173 2 879446215 +566 265 4 881650849 +938 410 1 891356780 +83 704 3 880327216 +189 582 5 893265998 +856 272 5 891489217 +747 1045 4 888639823 +846 197 4 883948417 +805 144 3 881694693 +243 246 4 879987085 +451 266 2 879012811 +933 175 4 874854444 +404 301 3 883790286 +313 603 5 891013681 +896 248 4 887235249 +593 274 3 875659849 +924 56 3 886327724 +374 504 4 880395973 +655 1155 3 887474289 +874 285 4 888632411 +669 7 3 892549266 +59 243 1 888206764 +751 274 4 889298694 +933 9 3 874854402 +389 239 3 880087939 +943 576 4 888640106 +244 67 4 880608820 +239 14 5 889179478 +922 919 5 891454625 +183 1215 1 891467546 +177 221 3 880130775 +773 68 2 888540091 +872 926 4 888479516 +232 286 3 880062259 +796 450 3 893049399 +157 258 3 886890296 +528 678 3 888520525 +880 1222 4 880168411 +391 591 4 877399894 +919 406 3 875289417 +523 1069 5 883701962 +810 878 4 879895500 +363 313 5 891493571 +682 33 4 888520864 +742 282 3 881335857 +246 159 3 884923003 +913 466 3 882544673 +799 1545 4 879254026 +726 1038 2 889832053 +931 111 3 891036648 +847 50 4 878774969 +862 265 5 879304980 +923 815 4 880387792 +82 484 4 878769597 +884 510 5 876859330 +846 738 4 883950364 +883 349 2 892557605 +909 707 5 891920327 +503 187 5 880383625 +796 145 2 893218485 +929 429 4 879640225 +225 479 4 879539614 +59 4 4 888205188 +821 993 4 874792570 +339 216 3 891032286 +912 419 4 875966756 +305 566 3 886324486 +209 129 2 883417667 +374 411 3 880394088 +936 1375 5 886832596 +617 320 5 883789424 +315 318 5 879799422 +232 435 4 888550013 +276 182 5 874787549 +488 746 4 891293771 +854 1283 2 882813047 +919 22 5 875374269 +799 306 4 879253795 +788 294 3 880867855 +835 1278 5 891032653 +795 1030 3 883255381 +311 550 3 884364812 +907 978 5 880159473 +868 2 2 877112290 +660 94 2 891201887 +894 534 4 879896704 +655 307 3 892011201 +642 748 5 885601998 +681 894 1 885409742 +435 84 2 884133757 +523 213 5 883700743 +926 245 3 888636270 +429 129 4 882385065 +441 300 3 891035056 +293 122 3 888905399 +199 1354 1 883782952 +774 553 2 888556867 +151 380 5 879543146 +653 371 1 880152058 +921 276 1 879381004 +903 127 5 891031144 +542 194 4 886532534 +938 845 1 891356780 +885 549 3 885714409 +924 9 4 886759657 +709 17 4 879848120 +889 949 3 880181646 +903 928 2 891031749 +751 660 4 889297990 +610 176 4 888703157 +615 300 4 879447613 +882 133 5 879867263 +758 831 4 882054415 +548 924 3 891415786 +805 519 4 881698095 +892 497 4 886608347 +786 100 4 882841667 +803 305 5 880055604 +537 604 3 886031211 +813 243 3 883752660 +927 210 5 879194937 +759 237 3 881476891 +665 200 4 884293741 +79 236 5 891271719 +10 93 4 877892160 +773 24 3 888538677 +592 295 4 882608357 +758 320 5 881976061 +780 427 3 891363904 +894 287 4 880993766 +846 747 3 883948417 +345 181 4 884992479 +405 1445 1 885546336 +8 260 3 879361665 +699 291 3 892709098 +795 47 3 881265108 +181 1381 2 878962349 +164 328 5 889401362 +532 215 5 892866230 +436 856 4 887769952 +534 508 4 877807973 +870 367 4 875679768 +629 194 5 880116887 +604 288 3 883668261 +536 431 5 882359813 +701 286 4 891446488 +912 357 5 875966429 +537 609 3 886031606 +653 210 4 880150103 +13 400 4 885744650 +826 4 4 885690526 +159 932 3 880557464 +541 1041 3 883865929 +747 194 3 888639222 +682 1478 3 888519226 +667 275 4 891035084 +393 8 3 887746145 +734 498 4 891022938 +229 882 4 891633029 +871 402 3 888193541 +903 369 4 891032101 +425 827 1 878739095 +851 95 4 875731282 +416 95 3 878879688 +588 660 4 890024002 +537 228 3 886031474 +272 187 5 879455043 +910 121 1 880821492 +453 1079 1 887942484 +805 317 4 881698745 +497 226 3 879310913 +910 742 4 880822031 +547 751 4 891282597 +488 492 2 891375784 +910 183 4 880822060 +747 900 5 888638183 +788 445 4 880869718 +779 447 4 875999211 +830 231 2 891561938 +887 71 5 881380996 +854 508 4 882812492 +927 571 3 879196853 +271 610 3 885848584 +901 69 5 877132346 +825 1011 3 881101246 +332 619 3 887938524 +907 781 5 885862325 +870 939 3 879714066 +389 257 3 879916077 +796 234 2 892690173 +887 609 4 881381207 +860 781 2 887754411 +826 399 4 885690790 +943 717 4 875502116 +731 520 4 886186567 +892 797 4 886610372 +876 286 5 879428072 +758 315 5 883793836 +606 1149 4 880925289 +881 1217 5 876538506 +271 429 4 885848672 +876 523 5 879428378 +924 402 3 886759965 +916 66 3 880845264 +770 257 4 875972059 +927 1284 4 879181133 +916 421 5 880844291 +745 603 4 880123243 +586 939 4 884064459 +940 7 4 885921597 +815 239 5 878694563 +892 175 4 886608559 +921 69 4 879380862 +919 678 2 875288253 +848 132 5 887038197 +546 300 3 885139842 +919 95 4 875921182 +321 59 4 879440687 +597 748 5 875339041 +537 69 2 886031178 +785 137 2 879438810 +389 618 4 880088115 +484 38 4 891195532 +933 226 2 874854874 +746 83 4 885075497 +574 311 4 891279410 +637 127 2 882901356 +856 328 3 891489478 +862 202 5 879304624 +790 210 4 885155209 +618 776 2 891307098 +133 271 5 890588766 +495 393 5 888635339 +871 305 3 888192475 +728 748 3 879442532 +682 8 3 888521833 +469 487 5 879524178 +883 241 4 891696714 +721 1065 5 877147383 +201 28 3 884111217 +457 238 5 882392976 +536 640 4 882361042 +896 478 5 887158739 +776 427 3 892313246 +886 164 4 876033053 +655 410 2 891585344 +280 182 3 891700276 +303 88 4 879468307 +712 96 5 874729850 +896 427 4 887158384 +686 26 5 879546847 +42 591 4 881110138 +394 343 3 881130008 +350 429 4 882345668 +298 679 3 884183099 +598 538 4 886711452 +622 978 2 882591453 +934 1135 3 891196117 +710 501 3 882064435 +882 501 5 879879807 +802 748 4 875984776 +804 513 5 879441937 +791 294 3 879447940 +679 97 3 884487300 +495 590 4 888637612 +870 654 4 875050801 +916 23 4 880843997 +363 80 4 891498434 +917 1 3 882910888 +851 930 3 875730312 +864 88 4 888887469 +727 840 2 883709884 +860 678 3 887754112 +288 286 4 886372862 +639 863 4 891239702 +643 572 3 891450341 +930 210 2 879535713 +650 158 2 891388149 +889 193 4 880180191 +815 333 3 887978234 +624 275 4 879792493 +279 374 1 888806649 +768 284 1 883835210 +434 1197 5 886724913 +669 603 5 891260719 +735 756 2 876698684 +782 1387 3 891499278 +503 580 3 880383236 +895 151 5 879438101 +59 517 5 888205714 +392 528 5 891038371 +448 270 5 891888137 +592 750 5 886394208 +659 673 4 891384499 +847 222 5 878775470 +303 943 2 879467815 +100 315 5 891375557 +749 470 5 878849259 +882 432 5 879865307 +755 286 5 882569670 +20 15 4 879667937 +327 628 2 887820226 +880 527 4 880241943 +115 558 5 881171203 +557 307 5 881179653 +368 413 1 889783454 +943 216 4 888639327 +883 1012 5 891916324 +371 202 5 880435313 +790 792 2 885155603 +245 717 4 888513447 +901 1120 4 877127021 +416 100 5 893212895 +2 296 3 888550871 +605 111 3 879425663 +650 23 3 891369890 +923 741 5 880387792 +234 1448 3 892335187 +671 82 4 884035686 +924 129 4 889286888 +805 11 2 881694423 +21 1 5 874951244 +916 558 3 880844767 +907 15 5 880158861 +847 501 3 878940463 +844 12 5 877388182 +44 198 4 878348947 +883 82 3 891696999 +788 300 5 880867477 +860 339 3 882831410 +886 410 4 876031459 +546 236 4 885141260 +246 66 3 884922252 +830 692 4 891464148 +880 318 5 880241746 +334 161 3 891549304 +916 123 3 880843524 +908 709 4 879722490 +815 318 5 878693497 +928 127 5 880936905 +883 490 4 891755017 +911 199 3 892839333 +937 874 3 876768956 +655 1640 3 888474646 +724 1105 1 883757537 +786 376 3 882844096 +874 654 5 888633311 +383 213 5 891193137 +577 660 3 880474613 +804 841 4 879443709 +621 405 5 880740034 +930 240 1 879535207 +904 280 5 879735678 +655 734 3 887523477 +573 134 4 885843928 +18 127 5 880129668 +887 90 5 881381071 +934 204 4 891192444 +704 633 5 891397819 +779 255 4 875993165 +145 1012 4 875270322 +837 285 4 875722187 +894 922 4 882404137 +537 300 1 886028446 +216 181 3 880232597 +645 184 3 892055213 +515 326 2 887660131 +873 348 3 891392577 +943 763 4 875501813 +806 1059 3 882390426 +846 80 4 883949594 +774 399 2 888556169 +710 294 3 882063224 +374 31 5 880396659 +815 919 5 878691844 +646 328 3 888528457 +815 2 3 878696355 +658 127 5 875145614 +892 526 4 886608771 +425 70 3 878738245 +928 276 5 880937144 +798 2 4 875743787 +908 209 3 879722694 +886 53 1 876032422 +902 1 5 879465583 +864 8 5 888887402 +389 143 3 880087026 +727 491 4 883710213 +305 484 3 886322838 +239 433 5 889180447 +815 28 4 878694199 +894 874 4 879982788 +889 483 4 880178183 +819 255 1 884105841 +724 887 3 883757468 +937 508 1 876780336 +931 313 4 891035876 +862 92 5 879305051 +538 88 2 877108078 +916 710 3 880844332 +374 184 2 880939034 +627 1267 4 879530346 +634 300 3 881952599 +753 300 1 891401167 +868 168 3 877104157 +796 199 3 892662223 +293 507 4 888905665 +882 4 4 879868118 +924 71 5 885457922 +271 515 5 885848558 +609 352 1 886895699 +912 520 2 875966429 +640 802 3 874778756 +622 178 4 882592421 +711 365 3 879995850 +346 640 3 874947923 +749 975 4 878848369 +922 562 3 891450866 +727 849 2 883713348 +827 286 3 882201725 +682 783 2 888521291 +838 50 5 887063657 +910 291 1 881421090 +723 286 3 880498746 +641 497 5 879370259 +731 1087 1 886186091 +921 122 2 879380433 +468 943 3 875287721 +786 228 4 882844295 +903 475 4 891031144 +923 276 5 880387429 +315 93 5 879821065 +566 153 2 881649747 +878 166 4 880870854 +393 1419 3 889729319 +561 664 4 885807574 +798 111 1 875296109 +543 191 4 874863035 +473 127 5 878157299 +706 687 1 880996945 +428 751 5 885943818 +593 293 1 877727988 +785 995 3 879438736 +803 990 2 880054792 +620 419 2 889988169 +524 614 5 884634731 +189 59 3 893265191 +296 23 5 884197235 +774 193 5 888556746 +452 98 5 875263330 +819 744 5 880382355 +793 252 4 875104498 +308 513 3 887736584 +921 410 2 879380957 +916 227 3 880845067 +726 25 4 889831222 +360 474 5 880355803 +756 568 3 874828903 +543 528 4 874864666 +507 294 5 889964274 +290 378 3 880475169 +796 323 2 892611953 +854 945 3 882813761 +805 659 3 881695677 +703 100 4 875242663 +519 1434 5 883250102 +711 97 4 879993605 +894 509 4 882404278 +885 153 2 885713357 +443 245 3 883504796 +748 1 4 879455040 +693 735 4 875482912 +726 832 5 889832807 +405 177 1 885547996 +753 172 3 891401510 +911 419 5 892840916 +933 732 3 874854651 +918 161 1 891988824 +568 497 2 877907092 +575 531 1 878148199 +271 186 4 885848915 +766 380 2 891310475 +773 840 1 888540218 +420 285 5 891356891 +592 13 5 882608401 +588 56 4 890024246 +622 1406 3 882671381 +827 358 2 882808622 +693 180 3 875482309 +889 944 3 880182173 +416 1133 4 893142244 +399 246 3 882340639 +234 656 4 892079288 +551 233 4 892784259 +855 638 4 879825462 +452 1410 1 876297577 +843 91 3 879446155 +921 280 3 879379562 +943 69 5 888639427 +730 121 4 880310506 +923 249 4 880388021 +886 183 5 876033088 +71 6 3 880864124 +901 58 4 877132091 +193 405 3 889125945 +913 508 3 880759072 +796 606 4 892761504 +883 856 5 891694401 +119 257 4 874775614 +506 514 5 874873287 +727 235 3 883709518 +817 121 3 874815835 +883 684 3 891755066 +116 532 2 876452651 +930 244 4 879535392 +757 29 2 888466683 +909 294 3 891920763 +363 739 3 891498183 +840 174 4 891204114 +767 659 5 891462560 +892 449 2 886610565 +776 549 5 891628731 +279 486 4 875310041 +828 557 2 891036826 +850 79 5 883195192 +683 683 3 893286347 +901 180 2 877289290 +871 510 3 888193335 +798 845 5 875295930 +779 95 5 875999285 +828 737 1 891037948 +529 333 4 882534996 +919 12 3 875373294 +884 285 4 876858820 +655 1166 3 891585477 +922 1079 1 891455277 +794 936 5 891035219 +916 1217 1 880845606 +774 398 1 888557482 +943 168 2 888638897 +665 496 3 884294200 +850 385 5 883195099 +7 198 3 891351685 +697 1022 1 882621523 +650 565 3 891388266 +889 1069 1 880182127 +798 610 3 875743314 +907 366 5 885862156 +373 187 2 877098849 +773 70 3 888538810 +342 833 3 874984751 +938 1 4 891356314 +13 541 1 882397650 +938 273 5 891356532 +642 1287 2 885606463 +677 240 5 889399431 +396 151 3 884646401 +484 241 3 891195390 +889 32 4 880180376 +396 323 4 884645790 +916 158 2 880845829 +933 585 1 874938728 +188 176 4 875072876 +919 864 2 875288848 +847 142 3 878941168 +505 491 3 889333861 +805 406 1 881695445 +892 380 4 886609180 +830 837 5 891462467 +551 833 3 892784166 +594 127 4 874781076 +934 69 5 891193013 +157 475 3 886890650 +743 322 3 881277750 +874 111 3 888632411 +693 197 3 875482197 +589 324 1 883352402 +483 91 3 884047427 +533 1161 3 883583033 +13 893 3 882774005 +930 190 4 879535492 +323 535 3 878739643 +935 15 5 884472177 +749 549 3 878847926 +311 392 5 884366067 +280 739 3 891701359 +677 1011 3 889399431 +932 1020 5 891249621 +642 477 5 886131563 +907 485 5 880160008 +378 735 4 880046229 +847 133 3 878941027 +758 310 3 880672402 +753 179 2 891401410 +747 305 5 888638183 +749 85 4 878849259 +471 946 2 889827982 +930 16 1 879534925 +567 525 5 882425901 +234 200 5 892335074 +537 901 1 886029488 +764 21 2 876243794 +889 1048 3 880177435 +727 122 2 883709802 +748 133 3 879454455 +731 496 5 886179040 +699 3 3 879147917 +773 751 3 888538175 +720 311 5 891262635 +639 673 4 891239406 +541 139 3 884047204 +346 1188 1 875264472 +533 172 4 879191184 +803 307 4 880055604 +783 330 1 884326755 +763 609 4 878918712 +916 241 4 880845368 +870 647 4 879270400 +715 144 5 875962991 +682 176 4 888521195 +43 892 3 883954776 +660 1240 3 891201637 +934 527 3 891191334 +21 323 2 874950972 +836 357 5 885754173 +935 283 4 884472136 +934 584 4 891196384 +416 310 5 893214225 +653 1065 1 880152085 +901 66 5 877131307 +848 855 5 887046915 +908 300 3 879722076 +932 1149 4 891249767 +682 722 4 888522073 +796 939 3 892761504 +653 1132 1 880153429 +798 393 3 875915029 +156 646 4 888185947 +774 546 1 888558565 +13 629 1 882141582 +747 505 5 888639823 +204 12 4 892513865 +577 826 4 880470852 +158 431 5 880134477 +632 176 3 879457812 +727 651 3 883710104 +862 1109 5 879305016 +899 151 2 884122367 +645 650 5 892055285 +52 7 5 882922204 +780 604 3 891363933 +325 235 1 891479292 +782 272 5 891497698 +339 660 4 891034778 +868 578 2 877112439 +870 289 2 875050332 +378 238 3 880046161 +450 1061 4 882398313 +593 126 5 875659777 +923 1017 5 880387525 +711 710 4 879994903 +573 523 4 885844007 +334 479 4 891545926 +806 117 2 882385237 +183 258 3 891462811 +57 144 3 883698408 +895 328 4 879437748 +774 50 4 888557198 +805 210 3 881694693 +919 272 5 885059452 +606 393 4 880925453 +933 174 4 874854745 +751 209 4 889133377 +659 486 4 891383733 +544 748 3 884795986 +487 62 3 884042630 +899 213 4 884122698 +435 709 4 884131822 +642 553 5 886132153 +790 597 3 884462047 +262 269 3 879961283 +940 471 4 885921628 +918 660 4 891987752 +44 692 3 878347532 +642 1182 2 885606178 +774 866 1 888558853 +450 234 3 882396245 +799 1063 4 879254026 +738 250 4 875348912 +622 62 4 882592850 +869 288 3 884490011 +398 367 3 875717020 +887 122 5 881379239 +401 537 4 891033466 +222 241 3 878181696 +789 628 3 880332215 +242 1355 5 879741196 +497 265 4 879310883 +55 7 3 878176047 +778 196 2 890769633 +932 1035 4 891251869 +919 255 4 875289170 +174 1313 4 888155294 +926 262 3 888636082 +324 410 5 880575449 +928 168 5 880936817 +771 50 4 880659347 +880 926 3 880167328 +807 91 5 892684675 +827 333 3 892157242 +293 1044 2 888908117 +590 1009 3 879439483 +228 56 2 889388607 +903 192 5 891033628 +497 50 5 879310580 +868 199 5 877105882 +911 474 5 892838637 +894 827 3 880993766 +833 641 4 875038626 +890 97 4 882402774 +416 300 4 876696823 +594 199 4 877816302 +151 1041 3 879543306 +919 302 4 875920245 +883 345 3 891691465 +833 176 2 875038850 +881 29 2 876539091 +406 205 2 879445642 +780 515 3 891364124 +922 235 2 891452407 +658 22 4 875147448 +532 477 4 892520198 +840 198 3 891204356 +622 276 4 882590485 +629 127 5 880117605 +488 82 4 891294942 +927 742 5 879199250 +632 566 4 879458649 +871 161 5 888193275 +145 754 3 882181058 +436 468 4 887771826 +625 198 4 891263665 +406 217 4 879792928 +933 70 2 874855020 +617 816 1 883789747 +913 289 5 880658260 +880 795 2 880243147 +568 611 3 877907782 +880 379 4 880241434 +428 749 4 885943782 +279 83 5 878082781 +807 258 3 892527100 +647 174 4 876530784 +766 448 3 891310934 +940 259 4 884801316 +768 895 2 883750415 +52 288 3 882922454 +230 203 2 880484890 +870 111 3 880584548 +896 550 2 887160880 +846 633 3 883948534 +843 218 2 879443297 +592 109 4 882608145 +815 515 5 878691739 +847 240 1 878939309 +709 841 4 879848824 +880 120 2 880175503 +70 172 5 884064217 +232 357 4 888549721 +896 1222 2 887161393 +727 172 5 883710104 +659 199 4 891383965 +429 1012 3 882385963 +918 995 3 891986143 +891 597 3 883489324 +887 132 4 881380218 +693 484 3 875484837 +903 81 5 891466376 +870 284 2 875051072 +605 64 5 879425432 +581 1353 4 879641850 +59 91 4 888205265 +362 321 2 885019435 +326 211 4 879876184 +733 924 4 879536523 +763 737 2 878919055 +938 823 4 891357019 +848 812 2 887038475 +820 258 3 887954853 +738 919 4 875349807 +326 97 4 879874897 +894 250 4 879896898 +878 699 1 880871600 +716 177 2 879794935 +738 755 3 875350913 +934 196 5 891191108 +795 70 3 883253481 +894 1038 3 880415855 +155 872 3 879370860 +782 1089 2 891499660 +405 1423 1 885546725 +786 528 5 882842878 +910 286 3 883760216 +49 2 1 888069606 +932 607 4 891249621 +868 135 5 877104987 +933 959 1 874938430 +671 273 4 875389187 +858 515 4 880932911 +798 731 3 875303765 +679 172 5 884486758 +903 595 2 891031714 +562 485 5 879196074 +886 196 3 876031365 +566 289 1 881649273 +887 1279 3 881378402 +900 410 2 877833326 +378 402 4 880045856 +294 829 3 889242788 +907 764 4 880159113 +686 179 5 879545814 +435 763 5 884133544 +537 429 3 886030863 +938 106 5 891357019 +642 998 3 886569765 +544 292 4 884795470 +269 708 4 891448323 +709 68 5 879848551 +406 393 4 880131851 +904 90 2 879735731 +892 431 4 886607957 +685 289 2 879451253 +479 340 1 887064320 +577 88 3 880475226 +912 616 3 875966065 +898 309 5 888294805 +334 549 4 891547261 +861 475 3 881274760 +102 227 4 888801673 +60 135 5 883327087 +864 742 4 878179445 +817 405 3 874815947 +801 299 2 890333011 +916 90 3 880845115 +7 152 4 891351851 +779 50 5 875992279 +193 1090 2 889124778 +475 302 3 891451083 +561 197 4 885807484 +796 77 5 893194646 +887 427 5 881379718 +889 603 4 880180122 +303 368 1 879544340 +883 271 2 891692116 +222 133 1 878182338 +846 199 5 883947911 +878 258 3 880865562 +685 875 3 879451401 +561 17 2 885810167 +845 306 2 885409374 +704 523 5 891397667 +455 523 4 879110946 +323 322 2 878738910 +655 192 3 887473753 +318 25 5 884494757 +533 676 5 879439720 +685 886 1 879451211 +7 367 5 891350810 +927 99 2 879195472 +515 340 3 887658782 +919 223 4 875372844 +707 420 3 886287160 +508 655 4 883767525 +416 659 5 893213404 +932 841 2 891250317 +940 354 5 889480493 +862 748 4 879302533 +450 399 4 882468239 +453 25 4 877552872 +486 244 3 879875220 +749 118 3 878846841 +591 523 4 891031724 +896 730 4 887158294 +886 177 4 876031973 +716 1286 2 879795239 +938 248 1 891356390 +564 258 4 888718771 +766 584 3 891309844 +807 2 4 892978338 +246 739 2 884922678 +173 245 4 877556927 +716 655 4 879795838 +504 300 4 887831274 +863 1127 4 889289157 +896 588 5 887158265 +749 365 3 878848951 +291 1047 2 874834165 +760 258 5 875665793 +328 46 2 885048004 +363 168 4 891494905 +455 117 3 879111345 +504 742 4 887831860 +387 214 5 886483753 +887 393 4 881381114 +497 121 4 879310581 +267 5 3 878972399 +897 23 3 879990683 +314 768 5 877890261 +432 255 5 889416608 +256 230 4 882164480 +283 71 4 879297965 +561 942 3 885809712 +178 1119 4 882827400 +586 68 4 884062010 +870 1020 3 882385179 +478 710 5 889396029 +727 92 2 883710806 +659 188 3 891384606 +892 495 4 886609218 +561 199 4 885809939 +682 999 2 888521942 +724 322 1 883757784 +848 173 5 887038134 +931 290 2 891036883 +501 628 4 883348519 +901 732 5 877132578 +625 70 3 891262724 +235 285 4 889655204 +698 663 1 886366955 +653 160 3 878854441 +837 740 5 875722123 +643 630 3 891448352 +766 607 1 891309090 +883 513 5 891717319 +86 1176 5 879570973 +764 98 5 876244991 +747 178 5 888639939 +805 322 2 879971215 +798 15 4 875295810 +201 800 2 884114713 +865 471 1 880143612 +851 12 4 875731370 +919 877 3 875288304 +936 1129 5 886833795 +301 100 5 882074408 +943 526 4 888639523 +823 710 4 878438457 +828 558 3 891037047 +18 959 3 880131450 +899 133 3 884122308 +910 3 2 881421019 +233 845 4 880190627 +933 193 4 874853927 +665 210 4 884293789 +94 1101 3 891720590 +778 441 3 890804387 +897 77 4 879990877 +870 746 3 879270400 +620 452 3 889987604 +867 89 5 880078769 +892 692 4 886608296 +293 45 5 888906315 +374 164 4 880937735 +936 327 4 886831445 +296 209 4 884199625 +588 378 3 890026059 +213 125 5 878955295 +897 404 4 879991186 +796 96 4 892662523 +481 211 5 885828426 +908 631 4 879723128 +493 333 4 884133084 +343 963 5 876404880 +835 504 5 891033772 +897 187 5 879990622 +896 239 4 887158165 +916 195 3 880844920 +870 148 2 879377064 +931 302 4 891035876 +373 174 4 877099137 +943 196 5 888639192 +387 847 3 886480325 +890 483 5 882402477 +432 298 3 889415852 +357 841 3 878951918 +712 419 3 874730234 +782 905 4 891498791 +276 807 2 874795574 +869 122 3 884493060 +858 327 3 879459504 +903 1009 4 891031906 +686 318 5 879545814 +82 22 3 878769777 +861 937 4 881274504 +130 272 5 888962577 +896 570 2 887161198 +328 187 4 885045993 +495 1116 3 888632738 +536 450 2 882364152 +548 151 1 891415786 +490 547 4 875428765 +437 135 4 880140101 +889 219 2 880178131 +915 896 2 891030070 +933 391 1 874939230 +168 924 2 884287614 +790 368 2 884462954 +615 197 4 879448439 +116 311 3 886978067 +758 471 3 881975472 +796 58 3 892675605 +704 134 5 891397441 +902 754 3 879463310 +892 825 4 886610682 +13 166 5 884538663 +583 524 5 879384522 +826 550 3 885690750 +655 1554 2 887611677 +648 448 3 884883476 +756 256 4 874827486 +601 198 4 876350104 +890 229 2 882405059 +509 705 4 883591687 +933 763 3 874938644 +907 332 5 885862325 +870 475 5 875051100 +932 1 4 891249932 +605 275 4 879366177 +650 270 4 891368959 +943 9 3 875501960 +804 708 3 879445783 +17 222 3 885272751 +843 83 3 879446948 +629 275 5 880117565 +918 89 5 891987780 +710 302 4 882063224 +798 945 3 875743518 +900 696 2 877833195 +711 417 4 879994749 +655 1465 2 887472943 +887 404 4 881381071 +458 7 4 886394373 +654 720 4 887864923 +262 70 4 879962517 +16 367 3 877726390 +398 582 2 875659518 +870 318 5 875050865 +889 980 4 880178748 +804 288 1 879447476 +889 657 4 880177941 +868 186 2 877109234 +13 834 1 882397068 +653 187 4 878853780 +920 311 3 884219701 +612 480 4 875325049 +687 269 4 884651420 +854 20 2 882813179 +573 528 4 885843928 +868 174 5 877107320 +655 4 2 887611649 +853 682 4 879364823 +251 25 4 886272615 +885 739 4 885715241 +839 846 2 875753052 +811 243 3 886377579 +406 654 4 879445522 +500 383 3 883877467 +768 535 3 882190750 +727 392 4 883711847 +756 383 3 874831050 +836 185 5 885754118 +928 191 5 880936863 +727 465 2 883712159 +401 243 3 891031867 +666 483 5 880139348 +896 566 4 887159805 +472 96 5 875980823 +361 1152 2 879441008 +735 325 1 876698022 +938 458 4 891356780 +916 546 2 880843864 +505 182 1 889334555 +922 276 3 891453854 +450 178 4 882394251 +179 313 4 892151270 +923 866 4 880388383 +639 1101 3 891239177 +665 417 3 884293569 +916 1073 4 880844445 +61 301 1 891206450 +846 435 5 883948222 +606 87 4 880924483 +825 919 1 881099316 +846 396 5 883949508 +239 269 5 889181247 +768 269 3 885319349 +59 953 5 888205787 +642 756 5 885604859 +913 181 3 880825135 +363 238 4 891497583 +715 939 4 875964545 +49 154 5 888068715 +703 819 2 875242912 +147 302 4 885593845 +934 96 4 891191157 +376 815 3 879459207 +294 328 4 877818982 +732 321 3 882590201 +82 237 3 876311319 +774 219 4 888557739 +886 655 4 876032973 +864 125 4 888889162 +648 458 2 882211418 +348 827 4 886523387 +393 399 4 889728353 +793 117 4 875103739 +943 672 5 888640125 +477 451 5 875941763 +682 1046 3 888520799 +833 540 1 875224687 +766 161 3 891310372 +655 1637 3 888984255 +796 127 5 892660147 +932 521 5 891249994 +922 384 4 891452521 +673 302 3 888786942 +158 125 3 880132745 +42 103 3 881106162 +843 441 2 879443544 +864 1208 2 888890731 +916 1009 5 880843551 +683 294 3 893286346 +685 288 2 879451147 +923 591 5 880387875 +682 85 3 888521833 +624 833 4 879793582 +346 1210 3 875265335 +772 272 5 889028581 +938 841 3 891357190 +795 434 3 880569983 +137 690 2 881432482 +916 537 4 880844087 +66 1016 3 883601859 +830 89 5 891561607 +940 430 4 885921542 +515 332 3 887658676 +14 19 5 880929651 +655 1143 3 887425458 +757 358 3 888443570 +831 56 5 891354751 +833 12 5 875039416 +336 72 3 877756127 +293 765 3 888907836 +667 197 4 891035033 +423 508 4 891395394 +537 492 3 886031342 +842 272 4 891217834 +940 238 4 885921628 +823 96 4 878438179 +255 826 1 883216958 +943 38 3 888640208 +936 255 5 886833795 +655 911 2 891817522 +479 136 4 879461447 +507 118 5 889966127 +384 286 4 891273649 +587 539 3 892871437 +890 190 4 882403587 +938 1013 2 891357042 +796 94 3 893219065 +932 475 4 891248856 +758 174 5 881975005 +835 98 5 891034401 +308 778 3 887740603 +393 572 4 889731618 +898 258 3 888294407 +837 934 2 875722483 +942 197 5 891283043 +501 928 3 883347773 +22 792 4 878886647 +474 47 4 887927339 +903 410 4 891031677 +670 186 4 877975594 +934 134 4 891191157 +911 530 4 892838677 +929 98 5 879640394 +892 542 1 886611023 +934 181 4 891189275 +385 201 4 879441982 +458 435 4 886397504 +767 177 5 891462614 +921 294 4 879379338 +804 625 3 879445493 +551 58 5 892783451 +325 1140 3 891479681 +732 304 5 882589792 +701 344 3 891446788 +880 25 4 880166938 +939 508 5 880261141 +916 80 3 880845476 +468 237 4 875280181 +613 279 4 891227410 +889 179 3 880179705 +940 216 4 885921310 +867 690 5 880077751 +720 887 5 891262608 +592 127 5 882608021 +623 288 1 891032140 +890 530 4 882405780 +809 331 2 891036809 +941 1 5 875049144 +684 98 4 878759970 +474 381 4 887924683 +395 118 3 883765791 +922 1157 2 891447853 +883 98 3 891695666 +669 480 5 891517259 +844 257 4 877381784 +291 508 5 874805892 +899 98 4 884121572 +870 1014 2 884789665 +934 474 4 891191976 +599 280 5 880952229 +569 328 4 879793253 +537 745 2 886031074 +822 95 4 891037394 +339 241 4 891034152 +26 683 3 891350372 +798 930 5 875637661 +722 121 5 891281182 +416 680 3 876696938 +622 181 5 882592041 +715 282 3 875962423 +454 140 3 888267386 +690 428 1 881177506 +795 825 2 880559026 +625 961 4 891962917 +889 741 4 880177131 +553 655 4 879949289 +523 435 5 883702263 +682 746 3 888521413 +846 491 3 883947960 +233 4 3 877663337 +943 274 3 875502074 +711 22 4 879993073 +594 520 4 874786664 +582 25 3 882961608 +883 745 5 891694431 +883 408 5 891914522 +262 699 5 879793022 +913 469 3 881037459 +237 286 3 879376220 +401 191 4 891032847 +532 332 4 876696298 +429 217 3 882387715 +894 137 5 880416340 +786 196 4 882843683 +807 431 4 892528062 +437 66 3 880143167 +661 169 5 876017294 +450 584 5 882397223 +198 673 3 884209451 +721 153 4 877150031 +878 51 4 880869239 +504 1093 1 887841073 +749 204 4 878847576 +425 1188 3 878738695 +707 1142 1 880059921 +889 199 5 880181138 +629 876 3 880116023 +892 186 3 886608643 +938 257 5 891356350 +442 90 3 883388609 +766 712 3 891310444 +846 1109 3 883948908 +710 483 5 882063685 +535 162 3 879619035 +822 902 4 891033747 +829 284 3 891990799 +826 62 4 885690790 +880 748 4 892958250 +660 84 2 891201823 +308 9 4 887737194 +798 660 3 876177436 +887 548 1 881381555 +923 248 4 880387474 +292 602 4 881105481 +266 9 4 892258004 +840 185 5 891204356 +92 13 4 886443292 +660 196 4 891199557 +864 153 5 888886946 +880 585 1 880175050 +918 659 4 891987622 +552 148 3 879222452 +559 311 3 891033635 +308 169 5 887736532 +506 363 3 874862646 +618 521 2 891307784 +761 628 4 876190689 +230 699 4 880484975 +890 674 3 882404610 +344 173 5 884814697 +116 269 3 886309452 +874 302 5 888632098 +896 1046 2 887160583 +798 281 4 875296234 +937 1007 4 876769373 +758 1034 4 882054415 +13 822 3 884538634 +722 928 3 891281228 +448 312 1 891888653 +70 380 3 884066399 +710 258 2 882063224 +97 208 5 884239744 +109 924 3 880564415 +934 507 4 891192145 +634 934 2 877018033 +132 806 3 891278896 +889 195 4 880178204 +868 268 4 877102974 +881 430 4 876537870 +550 243 2 883426119 +426 289 2 879441754 +892 837 5 886608743 +815 54 3 878696355 +648 110 3 884882407 +852 250 4 891036414 +457 227 4 882392853 +405 1475 1 885547268 +246 158 1 884923955 +870 523 5 875050774 +537 928 1 886030442 +158 230 2 880134445 +655 1630 3 887428735 +497 184 3 879310792 +579 228 3 880951984 +890 496 5 882916460 +503 509 5 880383098 +802 176 5 875985469 +763 498 4 878915600 +574 754 4 891279122 +864 619 3 888889327 +358 1396 4 891269827 +551 583 3 892778369 +897 215 4 879990683 +521 188 4 884478101 +942 945 5 891283239 +904 111 4 879735641 +186 295 2 879023390 +551 192 5 892776750 +286 652 4 877531899 +864 190 4 888887437 +790 62 3 885157465 +881 679 1 876539129 +884 1073 4 876859138 +854 282 2 882812960 +280 172 3 891700768 +746 168 3 885075790 +499 174 3 885598961 +727 11 3 883710152 +933 282 3 874855104 +896 71 5 887158927 +705 229 3 883428154 +930 535 4 879535392 +763 132 3 878920656 +710 127 5 882064096 +825 137 2 880756224 +479 496 3 879461084 +941 294 4 875048532 +929 431 1 879640225 +639 19 4 891239813 +891 116 3 891639552 +429 222 4 882385518 +796 1126 1 892662826 +773 127 5 888539962 +848 71 5 887046915 +555 118 4 879962569 +269 823 3 891446514 +854 1013 1 882813453 +474 190 3 887923972 +889 1487 3 880182871 +330 732 5 876547220 +782 253 2 891500150 +95 386 2 880572356 +413 273 2 879969484 +788 1042 3 880871240 +921 323 4 879379428 +919 1060 3 875289322 +393 823 3 889730262 +939 275 4 880260852 +342 507 4 875319295 +119 1264 3 886176993 +293 502 3 888906428 +610 606 5 888703343 +589 328 5 883352562 +614 535 2 879464376 +655 1643 5 887611511 +590 547 4 879439086 +796 274 5 893047167 +518 920 3 876824121 +943 568 3 888639042 +826 71 5 885690342 +766 238 4 891309450 +663 182 5 889493691 +389 629 2 880166028 +733 1380 2 879536567 +907 1 5 880158712 +653 151 3 878866475 +299 212 4 878191889 +141 181 4 884584709 +405 513 1 885546112 +862 866 4 879303697 +913 238 3 880825052 +921 254 3 879380908 +910 748 3 881420228 +312 430 5 891699426 +387 1198 3 886479575 +506 228 5 874873571 +876 531 4 879428481 +364 678 4 875931478 +339 480 5 891032885 +798 926 4 875638203 +878 463 2 880866177 +464 127 5 878354966 +313 197 5 891013910 +7 598 3 891353801 +698 515 4 886366190 +22 68 4 878887925 +334 99 4 891548533 +749 186 4 878847862 +721 229 5 877138585 +615 708 2 879448882 +519 348 5 883250148 +816 1025 4 891711495 +466 161 2 890285113 +915 258 2 891030108 +666 91 3 880139409 +916 498 3 880844241 +940 1137 3 885921577 +286 72 4 877534025 +804 436 5 879444984 +724 352 1 883757259 +500 546 4 887720050 +936 919 5 886832808 +660 946 2 891201696 +943 139 1 888640027 +815 484 4 878693989 +548 288 3 891042794 +847 88 2 878941168 +303 546 2 879484373 +409 338 3 881104916 +355 319 5 879486529 +774 453 2 888557804 +501 274 3 883348474 +790 153 3 885155077 +535 638 4 879618655 +913 462 3 881037459 +712 400 3 874957179 +488 633 5 891294334 +761 245 5 876189715 +782 1610 1 891500230 +871 347 5 888192315 +521 300 3 884475555 +916 939 3 880844694 +907 326 5 880158448 +854 174 3 882813574 +896 210 4 887158332 +838 283 5 887063994 +281 748 5 881200745 +938 685 3 891356894 +286 403 5 877533543 +416 291 4 878879275 +749 739 3 878848558 +236 304 4 890117676 +916 12 4 880844445 +293 94 2 888908066 +83 88 5 880308186 +387 727 5 886484098 +802 670 4 875986155 +843 526 3 879447625 +457 451 4 882549212 +741 945 5 891456827 +710 303 4 882063224 +308 255 4 887741693 +727 56 3 883711150 +756 420 4 874829373 +919 258 4 875288164 +829 255 3 891547657 +648 39 3 884882742 +407 169 5 875042642 +923 1001 1 880388173 +682 717 3 888521090 +407 474 3 875042378 +907 271 5 881030073 +267 431 4 878973426 +517 229 3 892660034 +715 412 2 875962783 +727 205 5 883710104 +823 473 3 878439065 +765 283 4 880346282 +769 120 1 885424401 +919 1258 3 875289453 +524 265 4 884636583 +848 191 5 887038564 +725 294 3 876103726 +186 269 1 889818094 +655 155 4 887473702 +881 191 5 876537457 +889 161 4 880180897 +682 470 5 888517628 +273 338 3 891293304 +790 451 3 885157299 +870 1412 2 879714435 +716 487 5 879794934 +639 514 4 891240566 +454 64 4 881959652 +430 7 3 877225660 +327 678 3 887743705 +635 302 4 878878587 +178 111 4 882823905 +889 423 4 880177941 +932 119 5 891249586 +504 371 3 887912236 +454 748 4 881958551 +913 195 4 881725846 +774 117 2 888558646 +936 108 4 886832758 +790 13 3 884461820 +406 971 3 879793328 +836 174 5 885754266 +326 1118 2 879877264 +896 229 4 887160399 +655 558 4 887427506 +872 1011 1 888479333 +934 961 4 891193854 +864 328 5 887686456 +251 597 3 886272514 +932 169 5 891249649 +853 322 3 879364883 +719 77 3 879360846 +716 132 5 879796438 +833 288 2 875035487 +774 523 2 888555964 +881 82 5 876538286 +846 79 4 883947630 +807 69 5 892528110 +97 423 5 884239472 +648 50 5 882211016 +659 255 3 891045161 +548 475 4 891415411 +622 185 3 882592041 +755 879 4 882569844 +195 615 4 880650666 +487 825 3 883444674 +554 68 2 876368907 +753 193 4 891401366 +145 59 1 882181695 +917 9 5 882912385 +524 955 1 884637914 +548 183 5 891044410 +881 181 4 876535928 +894 318 5 879897168 +298 482 5 884182657 +673 79 5 888787587 +450 732 3 882395662 +921 284 4 879379943 +864 4 4 888890690 +931 900 4 891035917 +716 823 3 879794428 +738 7 4 875349530 +907 143 5 880159982 +487 1209 4 884045135 +911 215 3 892839140 +682 73 5 888521564 +828 652 5 891036492 +630 1061 2 885667581 +911 208 4 892839970 +690 284 4 881178442 +838 222 4 887064356 +881 31 5 876537577 +684 924 2 878232961 +894 531 3 882404363 +488 56 4 891294785 +456 1129 4 881371548 +892 969 4 886608380 +919 591 3 875289667 +12 480 4 879959161 +788 46 3 880870018 +393 97 4 889555126 +561 226 1 885809806 +802 197 3 875985347 +62 64 4 879373638 +634 333 4 881007052 +289 363 3 876790653 +527 144 4 879456186 +776 523 4 891628937 +518 619 4 876823018 +419 269 4 879435190 +606 692 5 880924790 +548 218 4 891044538 +907 97 5 880160204 +475 306 5 891451276 +18 724 4 880132055 +160 952 4 876767299 +468 64 5 875286450 +808 346 5 883949986 +889 831 2 880177387 +593 181 4 875658800 +758 735 5 881976855 +848 241 5 887047243 +344 756 2 884900529 +70 94 3 884151014 +932 481 4 891249877 +80 64 5 887401475 +847 609 2 878940383 +826 102 4 885690442 +868 230 3 877112349 +923 829 4 880388426 +130 761 3 876251650 +702 450 1 885767775 +893 781 3 874828569 +555 100 5 879964092 +883 228 4 891696824 +697 250 4 882621940 +901 237 3 877126757 +708 181 5 877325279 +494 707 4 879541112 +933 1183 3 874938596 +606 178 5 880925579 +864 265 5 888886946 +856 748 3 891489638 +932 1121 5 891249261 +714 294 4 892777903 +416 305 3 878877919 +501 248 4 883347975 +773 1252 4 888538643 +868 238 4 877103249 +192 118 2 881367932 +141 591 4 884584865 +804 1177 3 879446390 +825 282 4 880755693 +921 367 4 879381021 +581 1367 5 879641603 +582 831 2 882962561 +901 38 3 877131087 +844 13 3 877381708 +125 710 5 879454699 +293 303 4 888904220 +655 1641 3 887427810 +405 375 1 885546835 +697 886 5 882622481 +889 647 2 880181191 +607 56 5 883880155 +846 735 2 883948141 +805 1008 4 881699661 +201 471 2 884140637 +892 633 4 886609551 +826 187 4 885690481 +477 66 5 875941763 +882 25 2 879862652 +922 655 2 891451327 +426 481 5 879442892 +145 97 5 875272652 +381 480 5 892696019 +794 249 3 891035885 +493 249 4 884132784 +293 28 3 888906071 +892 679 3 886610049 +24 324 5 875322875 +666 370 2 880313811 +786 497 4 882842946 +405 445 4 885548435 +790 131 2 885156852 +811 901 4 886377771 +880 94 3 880175097 +916 109 3 880845099 +892 1078 3 886610566 +695 340 4 888806082 +798 827 4 875637541 +37 121 2 880915528 +846 942 4 883948765 +279 1444 3 875313351 +932 514 5 891249932 +711 1190 3 886030579 +767 180 5 891462870 +846 650 5 883948534 +901 322 4 877125575 +301 21 2 882074967 +843 378 2 879448230 +752 355 2 891208036 +934 502 4 891194539 +420 547 4 891357104 +557 1176 5 881179653 +774 391 1 888557520 +34 991 4 888602618 +883 238 4 891694218 +843 127 2 879445059 +942 498 5 891282931 +153 187 2 881371198 +941 1007 4 875049077 +903 252 3 891031715 +26 845 3 891377468 +897 210 5 879991007 +627 64 5 879530015 +843 1039 3 879446215 +919 292 3 875288253 +178 220 3 882827247 +943 825 3 875502283 +665 1047 1 884291376 +671 195 5 884035774 +892 183 5 886608681 +213 157 4 878955501 +478 124 4 889387982 +870 248 4 880124496 +943 193 4 888639093 +887 218 5 881381471 +870 724 4 875679906 +848 210 5 887039271 +145 121 2 875270507 +850 96 4 883195236 +642 955 3 888123262 +887 420 5 881381425 +913 288 2 880755823 +429 440 1 882387411 +666 193 4 880567810 +868 1183 1 877112141 +548 25 2 891415746 +778 623 1 890804625 +886 364 3 876034006 +49 475 4 888066109 +882 284 3 879862865 +933 88 3 874854696 +450 388 3 882471604 +933 82 3 874939130 +678 285 3 879544397 +873 307 3 891392360 +807 483 5 892529756 +404 288 3 883790314 +899 194 5 884121125 +932 414 4 891251959 +916 1119 3 880845505 +537 86 4 886031786 +885 216 3 885715221 +934 462 4 891191511 +766 810 2 891310620 +896 235 1 887161198 +815 514 1 878693183 +850 485 5 883195168 +899 96 4 884121125 +574 286 3 891278916 +665 742 4 884290704 +933 12 4 874854135 +854 321 3 882811913 +883 1074 4 891694340 +919 539 3 885059682 +542 386 3 886533046 +796 378 4 893218764 +407 210 4 875044037 +694 211 5 875727189 +721 878 3 877137598 +708 887 2 892718820 +121 292 4 891388960 +896 225 1 887161518 +880 273 5 880166770 +655 143 4 887523176 +561 504 3 885809447 +1 94 2 875072956 +843 465 2 879449152 +764 732 3 876246475 +942 259 4 891282673 +504 423 4 887840960 +551 258 4 892775584 +650 27 3 891381745 +184 372 3 889910053 +815 151 4 878692207 +543 64 4 874863336 +458 100 4 886394373 +399 90 2 882350653 +716 141 4 879797555 +909 326 4 891919458 +747 865 5 888640916 +654 496 4 887864230 +727 1446 3 883712123 +932 405 4 891251177 +943 470 4 888639814 +457 98 5 882553113 +894 305 4 880415834 +882 176 4 879867980 +294 1047 3 877820240 +821 294 4 874792194 +221 633 3 875246459 +833 1181 1 875133458 +567 650 4 882426762 +504 67 2 887912382 +807 289 4 892527665 +806 237 2 882385135 +796 328 5 892612057 +250 984 3 878089229 +846 1178 2 883950524 +764 106 2 876243990 +486 546 2 879875440 +797 259 3 879439136 +816 690 4 891710922 +788 443 4 880868473 +880 168 3 880174623 +399 343 2 882340517 +758 919 5 881976262 +932 197 5 891249649 +908 732 3 879722974 +59 602 2 888206295 +691 1172 5 875543191 +549 151 3 881672300 +721 995 3 877137447 +928 135 4 880936884 +828 640 2 891037948 +766 499 3 891310125 +303 1217 1 879484948 +16 39 5 877720118 +562 82 5 879196401 +224 731 4 888103872 +608 93 4 880406299 +927 38 5 879195783 +492 1098 4 879969512 +717 260 1 884641911 +919 1514 2 885059812 +861 305 4 881274504 +943 1047 2 875502146 +99 348 4 886518562 +804 310 4 879440600 +449 198 4 880410624 +842 333 4 891218107 +214 250 2 891543036 +933 568 2 874939207 +561 417 2 885809690 +810 873 3 879895403 +637 117 2 882904148 +361 367 3 879440475 +831 690 4 891354064 +937 116 4 876769080 +234 835 3 892334481 +94 1140 2 891723328 +405 1246 1 885547735 +264 209 5 886123415 +886 1217 4 876033602 +615 332 2 879447585 +287 895 2 888177213 +592 1079 1 882608873 +932 210 4 891250793 +786 117 4 882841996 +437 462 5 881002324 +897 849 4 879990877 +555 405 4 879962569 +189 180 5 893265741 +919 14 4 875288934 +887 929 1 881379059 +292 249 3 881104820 +836 663 5 885754266 +478 100 5 889388863 +896 1303 4 887161518 +65 178 5 879217689 +251 294 3 886272283 +271 28 5 885849025 +626 327 4 878771419 +13 432 4 882398654 +943 415 1 888640027 +174 168 1 886434621 +934 403 4 891195537 +738 204 4 875350053 +339 176 4 891032413 +906 408 4 879435212 +416 1594 5 893212484 +155 245 2 879371061 +880 268 5 892958128 +655 21 2 888685787 +862 12 5 879304571 +883 736 3 891696750 +592 1012 5 882608401 +806 81 5 882389727 +474 405 4 887916260 +638 153 3 876695819 +788 28 5 880868876 +82 582 4 878769410 +922 95 3 891448580 +919 174 4 875372947 +709 576 4 879848695 +697 245 3 882621621 +790 100 2 884461334 +821 14 4 874792369 +113 979 5 875936424 +910 205 4 880822060 +796 736 3 893047126 +480 98 4 891208239 +588 7 3 890024611 +704 322 2 891396881 +857 304 2 883432301 +256 930 3 882153258 +524 519 4 884634818 +875 179 5 876465188 +479 271 3 879459692 +880 627 3 880241256 +848 72 5 887042341 +253 318 5 891628323 +919 815 2 875289533 +606 926 3 880922625 +846 429 2 883947819 +739 22 5 886958860 +833 11 5 875038850 +865 625 1 880235099 +916 737 3 880845328 +56 748 4 892676028 +417 365 4 879648860 +889 298 4 880177016 +622 1231 2 882670653 +804 197 4 879443136 +354 283 4 891216632 +901 252 3 877127250 +501 150 5 883347773 +304 274 4 884968415 +864 734 3 888892874 +883 847 4 892557605 +890 514 5 882402478 +90 196 4 891385250 +622 199 5 882592143 +140 288 3 879013617 +929 479 4 879640329 +805 173 4 881696671 +794 515 5 891034755 +738 449 3 875351438 +486 1405 5 879874516 +339 217 3 891034254 +922 699 3 891449048 +846 210 5 883947500 +561 505 4 885807510 +917 628 5 882912385 +122 699 5 879270541 +145 740 2 875272786 +110 1229 3 886988374 +774 840 2 888558594 +26 122 1 891380200 +664 202 4 878094973 +305 1286 5 886324687 +809 299 4 891037069 +588 294 4 890014887 +280 588 5 891700803 +815 380 3 878695744 +198 238 4 884207733 +931 272 5 891037521 +524 430 3 884637914 +785 273 3 879439527 +850 88 5 883195479 +913 203 4 880825916 +692 508 3 876953424 +388 121 4 886436756 +720 242 4 891262608 +265 1 5 875320247 +919 892 3 885059724 +805 153 4 881704063 +223 546 5 891550118 +18 357 4 880129421 +367 331 4 876689418 +538 89 4 877109831 +190 288 5 891033606 +325 527 4 891478140 +880 294 4 880166557 +699 70 4 878883038 +707 815 2 880060609 +484 423 5 891195746 +894 280 3 880993709 +554 1041 3 876369560 +110 585 2 886989473 +870 644 2 882123665 +338 382 5 879438762 +694 357 5 875726618 +163 202 3 891220137 +83 1049 3 880307588 +709 1 4 879847730 +316 97 5 880854142 +882 588 4 879867430 +357 508 5 878951616 +296 137 4 884196741 +484 468 5 891194886 +551 403 3 892782807 +545 195 4 879899158 +894 16 3 880993614 +742 591 4 881335461 +919 297 4 875288749 +473 150 5 878157329 +276 300 4 874786338 +786 95 5 882843397 +549 405 4 881672556 +468 9 5 875280041 +385 522 4 879924244 +347 1291 1 881653340 +892 276 4 886608559 +900 1298 2 877833923 +774 452 1 888557805 +770 937 4 876598016 +624 1114 4 879792557 +655 69 3 887476943 +13 904 1 892015178 +517 131 3 892659922 +279 969 3 875308799 +555 265 3 879975505 +916 156 5 880844016 +871 276 5 888193136 +717 995 5 884642132 +737 357 5 884314944 +924 64 4 886327778 +776 132 3 891629157 +868 762 4 877109535 +933 97 2 874854161 +664 97 3 876525363 +943 219 4 888639575 +311 170 5 884364999 +269 124 5 891446165 +833 344 4 888536031 +758 1283 4 880672876 +438 282 5 879868264 +397 492 4 885349955 +376 100 4 879454598 +318 393 5 884497449 +445 458 2 891200272 +757 431 4 888466584 +896 692 4 887159173 +150 14 4 878746889 +806 518 3 882388231 +748 96 5 879454662 +719 735 5 888454612 +864 673 3 888890273 +148 194 5 877015066 +542 132 3 886532620 +828 900 2 891035438 +151 836 4 879524514 +770 924 5 875971902 +151 190 4 879528673 +102 154 3 888803708 +85 1166 4 879455021 +294 342 3 889241466 +31 192 4 881548054 +916 679 3 880845690 +908 318 5 879722717 +425 405 2 878738643 +787 751 4 888979235 +402 410 1 876266985 +904 724 4 879735616 +932 431 3 891250944 +883 582 3 891693387 +249 147 5 879640343 +523 949 5 883700792 +168 1051 4 884288222 +906 285 5 879434846 +18 952 2 880130582 +445 1 3 891199749 +197 306 2 891409160 +669 56 2 891260497 +851 475 4 875731674 +916 461 4 880844087 +270 283 5 876954456 +655 649 3 888685989 +618 382 2 891307540 +711 715 4 879994581 +360 144 2 880355527 +868 727 2 877110277 +853 261 3 879365360 +896 647 3 887159502 +522 514 2 876960956 +398 1 5 875652927 +159 288 3 884026901 +276 1413 1 874977513 +193 282 5 889124965 +778 629 2 890802784 +807 423 5 892528470 +902 1016 2 879464783 +838 238 4 887067359 +661 255 3 876037088 +574 750 3 891278962 +44 307 4 878340940 +527 526 5 879456312 +174 88 5 886513752 +868 211 3 877107730 +682 1 4 888523054 +637 508 2 882903301 +863 1296 3 889289617 +889 646 3 880177970 +748 199 4 879455454 +497 182 4 879310705 +907 288 5 880158476 +279 901 4 883893835 +403 1199 2 879790506 +853 307 1 879364744 +899 125 3 884120185 +897 609 5 879991105 +89 402 4 879460347 +788 696 3 880871173 +829 313 4 891204191 +582 118 2 882962523 +865 926 1 880144405 +864 550 4 888889389 +599 294 4 880951113 +429 409 2 882386751 +764 216 4 876245520 +551 926 2 892785300 +396 406 2 884646468 +932 64 2 891250059 +733 291 2 879536608 +416 79 5 893213405 +822 206 3 891036851 +870 655 4 875050865 +590 124 5 879438735 +577 1046 4 880475226 +731 591 1 886184577 +655 305 4 887523909 +412 208 4 879717621 +225 98 5 879539672 +694 183 5 875727061 +932 151 3 891251225 +895 1 4 879437950 +790 755 3 885157928 +716 517 5 879797221 +634 408 3 875728783 +543 947 4 877545605 +521 42 5 884478721 +916 284 2 880843666 +892 705 4 886607912 +864 801 3 888892667 +382 286 2 875945173 +889 209 2 880178019 +749 47 4 878848098 +938 276 3 891356572 +488 705 4 891294473 +832 260 3 888259404 +59 1114 5 888203415 +279 779 3 878262194 +926 237 3 888351813 +852 926 3 891036902 +682 1012 4 888518747 +458 823 3 886395119 +594 515 5 874781050 +747 1 5 888639138 +905 458 4 884984382 +455 259 2 884027220 +804 435 3 879444488 +821 98 5 874793847 +661 145 1 876035968 +749 845 3 878848189 +927 94 2 879198972 +668 896 4 882818549 +777 245 5 875979241 +660 154 4 891200534 +611 306 5 891636152 +810 289 5 879895403 +782 332 4 891498139 +455 164 4 879110844 +903 147 3 891031178 +919 200 4 875373294 +894 330 3 880415951 +776 217 4 892920351 +716 13 2 879793376 +405 196 1 885546112 +883 531 3 891693497 +181 1287 1 878963380 +280 233 4 891702049 +581 922 5 879642333 +923 411 4 880387664 +872 893 4 888478902 +885 161 4 885715827 +291 573 4 874834944 +785 174 5 879438957 +749 443 4 878847954 +938 289 1 891356282 +89 107 5 879441780 +899 117 4 884119830 +862 177 4 879305016 +747 58 3 888639594 +580 257 5 884125243 +122 28 4 879270084 +449 593 4 879959101 +640 689 4 886353852 +643 721 2 892502531 +806 252 1 882386110 +572 284 3 879449840 +344 302 5 884814359 +608 92 3 880408150 +940 215 2 885921451 +632 134 5 879457217 +899 180 3 884121308 +294 405 4 877819761 +698 86 2 886367508 +782 271 2 891498213 +666 960 4 880567810 +588 91 5 890026656 +891 740 5 891639497 +417 302 3 879645999 +160 127 5 876770168 +293 127 5 888904614 +802 333 4 875986155 +486 252 3 879875316 +699 764 3 886568162 +533 8 3 879191938 +911 420 4 892840950 +760 98 3 875667717 +804 294 5 879441099 +532 916 3 893115293 +737 100 5 884314664 +148 127 1 877399351 +506 686 3 889874717 +57 121 4 883697432 +732 269 5 882589593 +643 655 4 891448176 +708 1079 1 892719385 +684 409 3 878760614 +912 501 4 875966756 +541 1412 1 883874834 +886 217 2 876032776 +734 50 4 891022627 +932 606 4 891250169 +922 596 4 891448833 +892 188 5 886608185 +715 106 2 875962140 +347 427 4 881654004 +501 245 3 883346844 +933 1037 1 874938620 +889 513 4 880178748 +617 498 3 883788955 +782 342 2 891498322 +115 508 5 881170438 +529 875 4 882535714 +421 427 4 892241735 +875 1103 5 876465144 +936 845 4 886833006 +919 689 2 885059506 +644 255 4 889077513 +537 192 4 886031473 +346 693 4 874950937 +92 65 4 875653960 +798 929 3 875638090 +774 189 2 888557987 +58 238 5 884305185 +804 132 4 879445305 +815 214 5 878693497 +916 704 3 880845177 +690 274 3 881177721 +846 318 5 883947777 +497 584 4 879363611 +868 385 2 877103834 +618 15 3 891308391 +488 71 3 891294606 +621 38 3 874964495 +627 232 3 879531302 +561 49 2 885809269 +940 285 4 885921846 +927 91 4 879196955 +524 318 4 884635287 +788 357 4 880869687 +883 421 5 891696689 +883 952 3 891916924 +429 1018 3 882386051 +804 1060 3 879443918 +747 514 4 888639823 +542 240 3 886533142 +749 50 5 878846978 +916 215 3 880844552 +110 947 3 886988574 +165 223 4 879525894 +852 290 4 891036817 +894 166 4 882404306 +894 750 4 883518875 +902 879 4 879463485 +270 265 4 876956137 +766 664 2 891309589 +590 676 4 879439060 +10 9 4 877889005 +75 473 3 884050733 +933 222 1 874854783 +293 509 3 888905948 +201 237 4 884140307 +660 89 3 891199965 +893 96 4 874830314 +497 763 3 879309780 +926 269 5 888636082 +221 931 3 875245100 +805 185 5 881695196 +854 111 3 882812906 +226 179 4 883888853 +321 478 4 879439926 +721 161 5 877138816 +654 405 4 887863866 +537 25 2 886030199 +269 515 4 891446132 +109 180 3 880581127 +657 258 2 884238559 +936 312 3 886831853 +693 210 3 875484044 +622 474 3 882669509 +928 328 3 880937258 +643 451 2 891449301 +655 692 3 887523453 +244 650 3 880607231 +393 693 3 887746883 +894 905 3 887044109 +892 162 4 886609390 +806 100 4 882385063 +669 475 3 892549336 +938 293 3 891356501 +943 796 3 888640311 +541 258 4 883864123 +151 559 2 879543075 +450 1490 3 882396929 +566 462 4 881650090 +927 28 4 879183511 +541 468 4 883865007 +708 762 5 877325838 +928 9 5 880937163 +535 7 5 879618776 +881 566 4 876538796 +870 943 2 879714310 +707 505 4 886286311 +717 591 4 884642297 +847 685 2 878938922 +892 1444 3 886610267 +820 895 2 887955046 +334 47 4 891547171 +209 276 2 883417796 +495 1039 5 888635180 +786 1 4 882841828 +318 340 4 884470115 +465 408 5 883530391 +552 281 3 879222306 +867 294 3 880077831 +936 1226 3 886833148 +871 904 3 888192858 +903 405 4 891031678 +901 447 3 877132015 +934 419 4 891192849 +862 208 2 879304282 +59 273 2 888203129 +886 50 5 876031501 +912 427 5 875965830 +798 924 3 875296148 +892 131 4 886610451 +339 212 4 891035215 +909 224 5 891920089 +897 174 5 879990587 +593 58 4 875671579 +354 319 3 891180399 +64 184 4 889739243 +889 181 4 880177131 +798 443 3 876249370 +901 15 5 877130439 +830 834 1 891899475 +773 895 2 888538417 +528 410 4 886813104 +271 169 5 885848475 +346 151 4 874949244 +838 993 3 887064231 +698 134 3 886366558 +238 151 2 883576398 +474 31 4 887926573 +642 73 4 885605735 +870 11 4 875679992 +643 39 4 891447747 +887 98 3 881379345 +846 40 2 883950253 +846 98 4 883947819 +503 692 3 880383467 +898 302 4 888294567 +916 557 4 880844527 +896 751 4 887235605 +918 747 3 891988705 +664 660 3 876525718 +935 120 3 884472942 +766 498 4 891309913 +806 170 5 882387520 +907 278 5 880159016 +588 265 5 890025621 +805 128 5 881694798 +931 546 3 891036849 +554 181 4 876550100 +913 28 3 881369039 +820 751 1 887955180 +896 176 5 887235690 +306 741 1 876504286 +533 265 3 879191563 +939 237 5 880261056 +782 351 3 891498139 +738 135 5 892844111 +790 1077 3 885156619 +875 22 3 876465072 +83 245 2 891181703 +870 508 3 881001249 +787 268 4 888979007 +574 358 2 891279520 +303 627 3 879484733 +815 526 4 878696093 +621 384 3 874963081 +43 591 5 875975656 +43 123 1 875975520 +800 1 4 887646283 +847 120 1 878939349 +880 3 1 880175023 +518 405 5 876823926 +655 872 3 888685879 +712 1480 4 874957161 +25 176 4 885852862 +886 11 5 876031365 +890 157 4 882916239 +694 188 5 875727715 +881 732 5 876538465 +496 660 3 876067108 +749 444 2 878850632 +388 53 5 886441248 +704 340 3 891396636 +781 179 5 879634017 +682 71 5 888523135 +451 876 4 879012431 +474 56 5 887924083 +422 267 4 875655986 +920 272 3 884219701 +707 52 3 886287268 +741 151 3 891458539 +715 143 3 875963946 +870 4 2 879270213 +619 79 5 885953992 +648 281 3 884365970 +933 96 2 874855020 +746 228 4 885075243 +872 1284 3 888479434 +525 106 2 881086938 +691 496 5 875543025 +140 303 5 879013684 +327 498 4 887819860 +32 408 3 883717684 +892 208 4 886609029 +840 480 5 891208647 +98 194 5 880498898 +518 410 3 876823541 +798 202 2 875639095 +814 5 3 885411030 +577 181 5 880474612 +869 1047 2 884492571 +843 132 3 879446186 +472 420 3 875982149 +399 1542 2 882348592 +924 471 4 884371635 +474 124 5 887915269 +892 157 5 886609029 +939 471 5 880261254 +862 485 5 879304410 +495 573 4 888636928 +405 958 1 885549590 +749 712 3 878849375 +807 204 4 892528954 +721 242 3 877137597 +868 172 5 877107847 +854 290 1 882813179 +839 1381 3 875752456 +902 187 3 879465834 +864 418 3 888887247 +862 205 4 879304282 +766 428 5 891309622 +603 56 4 891957053 +789 124 4 880332089 +826 260 3 885690022 +18 967 3 880131901 +907 815 5 880158913 +450 654 4 882373928 +665 378 3 884294237 +854 528 4 882813623 +378 441 3 880333995 +880 110 3 880175128 +532 425 4 888634801 +851 553 4 875731225 +633 159 4 875325093 +653 135 5 878866755 +348 596 4 886523456 +749 205 4 878847804 +934 786 1 891194089 +806 875 3 882384802 +524 481 4 884634785 +860 732 4 885991129 +721 263 3 877137598 +618 531 4 891309886 +903 544 2 891031470 +737 22 4 884314993 +752 268 2 891208036 +897 523 5 879991186 +56 575 3 892911469 +865 743 1 880144504 +886 2 4 876033368 +781 210 4 879634295 +849 625 5 879695420 +606 576 3 880927750 +303 939 3 879467739 +870 435 3 880584549 +13 446 1 882397039 +747 124 5 888639138 +204 333 1 892391748 +925 558 1 884718099 +878 155 3 880869418 +880 5 3 880241379 +916 356 3 880845722 +188 484 5 875072392 +846 101 4 883949336 +389 133 5 880086888 +879 596 2 887761380 +840 432 5 891209342 +626 680 1 878771476 +804 233 4 879445815 +663 240 3 889493027 +145 769 2 877343280 +818 313 4 891870173 +574 328 3 891279174 +648 456 2 884367180 +806 169 5 882387756 +666 265 3 880139274 +794 100 5 891035063 +303 1086 1 879468021 +933 441 2 874938833 +519 887 5 883250102 +867 172 5 880078769 +889 550 3 880181434 +938 993 5 891356413 +532 990 3 875511963 +487 313 3 883439795 +659 216 4 891045892 +943 739 4 888639929 +416 153 4 886317272 +864 151 5 888889466 +932 416 3 891250498 +734 294 1 891025891 +874 275 4 888632448 +903 1381 4 891031864 +303 363 1 879485134 +921 25 3 879379736 +788 157 5 880869396 +634 1028 3 875729456 +916 148 2 880843892 +892 631 4 886609726 +401 405 2 891032453 +10 198 3 877889005 +689 258 5 876674954 +5 174 5 875636130 +891 978 4 883489282 +921 143 5 879381257 +23 227 3 874787738 +848 216 5 887040159 +739 50 4 886958895 +869 282 3 884490987 +747 510 5 888639890 +913 318 4 880794731 +835 588 3 891033857 +723 9 3 880498912 +935 685 4 884472310 +537 675 3 886031860 +694 705 5 875728048 +937 294 1 876769480 +707 864 4 880060262 +899 200 4 884122674 +561 611 5 885807547 +826 748 4 885689918 +773 232 3 888540146 +749 823 3 878850060 +806 90 4 882390164 +884 463 5 876859070 +707 708 3 886286170 +535 1170 3 879618019 +383 200 5 891193181 +903 651 5 891032793 +887 274 1 881378478 +484 210 5 891194743 +715 778 2 875965171 +879 111 4 887761865 +710 79 4 882064283 +711 48 4 879993053 +669 479 5 891260806 +684 248 3 878576473 +407 7 4 893253637 +889 8 3 880179757 +619 578 4 885954215 +485 752 3 891040967 +393 613 4 887745937 +853 333 4 879364669 +887 1063 1 881380404 +838 313 5 887060659 +447 770 3 878856601 +527 659 4 879455617 +606 97 5 880925453 +630 815 3 885667229 +806 209 3 882387837 +867 748 4 880077951 +693 1136 3 883975358 +648 318 3 884368371 +875 964 4 876465335 +749 636 4 878849929 +490 109 5 875428765 +441 282 4 891035528 +851 1013 2 891961856 +883 234 4 891695666 +102 7 2 888801407 +896 96 5 887158635 +935 117 4 884472229 +358 1005 4 891269723 +874 286 4 888632057 +896 511 5 887158830 +828 531 4 891036972 +835 174 5 891033623 +593 223 5 888872089 +904 173 3 879735499 +764 281 3 876243854 +741 696 3 891455901 +930 410 3 879534973 +798 659 4 875914337 +211 215 5 879460294 +554 172 5 876550372 +659 657 5 891383965 +931 257 4 891036530 +221 144 4 875245427 +207 173 3 877878923 +936 251 4 886832134 +868 405 1 877109082 +102 172 3 888801232 +903 50 5 891031329 +653 411 2 878854906 +895 100 4 879437997 +379 621 4 880525815 +130 824 3 875801830 +929 276 2 879640184 +788 328 4 880867477 +577 176 5 880474311 +725 276 4 876106243 +851 1337 3 875730719 +889 77 3 880182359 +780 313 5 891362901 +828 346 4 891380167 +593 1 3 875659150 +363 181 5 891494783 +925 200 2 884717963 +862 120 3 879303953 +848 708 4 887046619 +563 566 4 880507042 +500 1010 4 883865483 +780 50 5 891363685 +823 134 5 878438232 +130 93 5 874953665 +130 121 5 876250746 +537 778 3 886031106 +655 913 4 891817521 +889 2 3 880182460 +865 1009 5 880144368 +851 979 3 875730244 +833 474 5 875122675 +394 380 4 881132876 +193 690 4 889123221 +621 809 4 880740136 +766 91 5 891310125 +650 479 5 891372339 +429 199 5 882386006 +847 596 3 878938982 +934 216 1 891191511 +788 556 2 880871128 +897 369 4 879993713 +936 287 4 886832419 +936 766 3 886832597 +449 120 1 879959573 +661 762 2 876037121 +721 874 3 877137447 +821 151 4 874792889 +764 596 3 876243046 +537 443 3 886031752 +618 628 2 891308019 +487 291 3 883445079 +113 975 5 875936424 +943 391 2 888640291 +864 685 4 888891900 +750 323 3 879445877 +279 64 1 875308510 +646 750 3 888528902 +654 370 2 887863914 +617 582 4 883789294 +913 690 3 880824288 +660 229 2 891406212 +421 498 4 892241344 +495 1091 4 888637503 +806 421 4 882388897 +676 538 4 892685437 +721 262 3 877137285 +913 209 2 881367150 +378 78 3 880056976 +880 476 3 880175444 +716 204 5 879795543 +276 1090 1 874795795 +13 225 2 882399156 +12 203 3 879959583 diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/u.item b/appkits/qpyapp/src/qpynotes/topics/pandas/data/u.item new file mode 100755 index 0000000..61460b5 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/u.item @@ -0,0 +1,1682 @@ +1|Toy Story (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Toy%20Story%20(1995)|0|0|0|1|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +2|GoldenEye (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?GoldenEye%20(1995)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +3|Four Rooms (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Four%20Rooms%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +4|Get Shorty (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Get%20Shorty%20(1995)|0|1|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +5|Copycat (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Copycat%20(1995)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|1|0|0 +6|Shanghai Triad (Yao a yao yao dao waipo qiao) (1995)|01-Jan-1995||http://us.imdb.com/Title?Yao+a+yao+yao+dao+waipo+qiao+(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +7|Twelve Monkeys (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Twelve%20Monkeys%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|1|0|0|0 +8|Babe (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Babe%20(1995)|0|0|0|0|1|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +9|Dead Man Walking (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Dead%20Man%20Walking%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +10|Richard III (1995)|22-Jan-1996||http://us.imdb.com/M/title-exact?Richard%20III%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +11|Seven (Se7en) (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Se7en%20(1995)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0 +12|Usual Suspects, The (1995)|14-Aug-1995||http://us.imdb.com/M/title-exact?Usual%20Suspects,%20The%20(1995)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0 +13|Mighty Aphrodite (1995)|30-Oct-1995||http://us.imdb.com/M/title-exact?Mighty%20Aphrodite%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +14|Postino, Il (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Postino,%20Il%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +15|Mr. Holland's Opus (1995)|29-Jan-1996||http://us.imdb.com/M/title-exact?Mr.%20Holland's%20Opus%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +16|French Twist (Gazon maudit) (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Gazon%20maudit%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +17|From Dusk Till Dawn (1996)|05-Feb-1996||http://us.imdb.com/M/title-exact?From%20Dusk%20Till%20Dawn%20(1996)|0|1|0|0|0|1|1|0|0|0|0|1|0|0|0|0|1|0|0 +18|White Balloon, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Badkonake%20Sefid%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +19|Antonia's Line (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Antonia%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +20|Angels and Insects (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Angels%20and%20Insects%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +21|Muppet Treasure Island (1996)|16-Feb-1996||http://us.imdb.com/M/title-exact?Muppet%20Treasure%20Island%20(1996)|0|1|1|0|0|1|0|0|0|0|0|0|1|0|0|0|1|0|0 +22|Braveheart (1995)|16-Feb-1996||http://us.imdb.com/M/title-exact?Braveheart%20(1995)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +23|Taxi Driver (1976)|16-Feb-1996||http://us.imdb.com/M/title-exact?Taxi%20Driver%20(1976)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +24|Rumble in the Bronx (1995)|23-Feb-1996||http://us.imdb.com/M/title-exact?Hong%20Faan%20Kui%20(1995)|0|1|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +25|Birdcage, The (1996)|08-Mar-1996||http://us.imdb.com/M/title-exact?Birdcage,%20The%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +26|Brothers McMullen, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Brothers%20McMullen,%20The%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +27|Bad Boys (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Bad%20Boys%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +28|Apollo 13 (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Apollo%2013%20(1995)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +29|Batman Forever (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Batman%20Forever%20(1995)|0|1|1|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0 +30|Belle de jour (1967)|01-Jan-1967||http://us.imdb.com/M/title-exact?Belle%20de%20jour%20(1967)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +31|Crimson Tide (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Crimson%20Tide%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|1|0 +32|Crumb (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Crumb%20(1994)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +33|Desperado (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Desperado%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0 +34|Doom Generation, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Doom%20Generation,%20The%20(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +35|Free Willy 2: The Adventure Home (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Free%20Willy%202:%20The%20Adventure%20Home%20(1995)|0|0|1|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +36|Mad Love (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Mad%20Love%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +37|Nadja (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Nadja%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +38|Net, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Net,%20The%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +39|Strange Days (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Strange%20Days%20(1995)|0|1|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0 +40|To Wong Foo, Thanks for Everything! Julie Newmar (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?To%20Wong%20Foo,%20Thanks%20for%20Everything!%20Julie%20Newmar%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +41|Billy Madison (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Billy%20Madison%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +42|Clerks (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Clerks%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +43|Disclosure (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Disclosure%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +44|Dolores Claiborne (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Dolores%20Claiborne%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +45|Eat Drink Man Woman (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Yinshi%20Nan%20Nu%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +46|Exotica (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Exotica%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +47|Ed Wood (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Ed%20Wood%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +48|Hoop Dreams (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Hoop%20Dreams%20(1994)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +49|I.Q. (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?I.Q.%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +50|Star Wars (1977)|01-Jan-1977||http://us.imdb.com/M/title-exact?Star%20Wars%20(1977)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|1|1|0|1|0 +51|Legends of the Fall (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Legends%20of%20the%20Fall%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|1|1 +52|Madness of King George, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Madness%20of%20King%20George,%20The%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +53|Natural Born Killers (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Natural%20Born%20Killers%20(1994)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +54|Outbreak (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Outbreak%20(1995)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +55|Professional, The (1994)|01-Jan-1994||http://us.imdb.com/Title?L%E9on+(1994)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|1|0|1|0|0 +56|Pulp Fiction (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Pulp%20Fiction%20(1994)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +57|Priest (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Priest%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +58|Quiz Show (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Quiz%20Show%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +59|Three Colors: Red (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Trzy%20kolory:%20Czerwony%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +60|Three Colors: Blue (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Trzy%20kolory:%20Niebieski%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +61|Three Colors: White (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Trzy%20kolory:%20Bialy%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +62|Stargate (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Stargate%20(1994)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +63|Santa Clause, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Santa%20Clause,%20The%20(1994)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +64|Shawshank Redemption, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Shawshank%20Redemption,%20The%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +65|What's Eating Gilbert Grape (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?What's%20Eating%20Gilbert%20Grape%20(1993)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +66|While You Were Sleeping (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?While%20You%20Were%20Sleeping%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +67|Ace Ventura: Pet Detective (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Ace%20Ventura:%20Pet%20Detective%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +68|Crow, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Crow,%20The%20(1994)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0 +69|Forrest Gump (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Forrest%20Gump%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|1|0 +70|Four Weddings and a Funeral (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Four%20Weddings%20and%20a%20Funeral%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +71|Lion King, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Lion%20King,%20The%20(1994)|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +72|Mask, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Mask,%20The%20(1994)|0|0|0|0|0|1|1|0|0|1|0|0|0|0|0|0|0|0|0 +73|Maverick (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Maverick%20(1994)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1 +74|Faster Pussycat! Kill! Kill! (1965)|01-Jan-1965||http://us.imdb.com/M/title-exact?Faster%20Pussycat!%20Kill!%20Kill!%20(1965)|0|1|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +75|Brother Minister: The Assassination of Malcolm X (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Brother%20Minister:%20The%20Assassination%20of%20Malcolm%20X%20(1994)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +76|Carlito's Way (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Carlito's%20Way%20(1993)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +77|Firm, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Firm,%20The%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +78|Free Willy (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Free%20Willy%20(1993)|0|0|1|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +79|Fugitive, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Fugitive,%20The%20(1993)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +80|Hot Shots! Part Deux (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Hot%20Shots!%20Part%20Deux%20(1993)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0 +81|Hudsucker Proxy, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Hudsucker%20Proxy,%20The%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +82|Jurassic Park (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Jurassic%20Park%20(1993)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +83|Much Ado About Nothing (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Much%20Ado%20About%20Nothing%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +84|Robert A. Heinlein's The Puppet Masters (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Robert%20A.%20Heinlein's%20The%20Puppet%20Masters%20(1994)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0 +85|Ref, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Ref,%20The%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +86|Remains of the Day, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Remains%20of%20the%20Day,%20The%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +87|Searching for Bobby Fischer (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Searching%20for%20Bobby%20Fischer%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +88|Sleepless in Seattle (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Sleepless%20in%20Seattle%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +89|Blade Runner (1982)|01-Jan-1982||http://us.imdb.com/M/title-exact?Blade%20Runner%20(1982)|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0|0 +90|So I Married an Axe Murderer (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?So%20I%20Married%20an%20Axe%20Murderer%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|1|0|0 +91|Nightmare Before Christmas, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Nightmare%20Before%20Christmas,%20The%20(1993)|0|0|0|0|1|1|0|0|0|0|0|0|1|0|0|0|0|0|0 +92|True Romance (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?True%20Romance%20(1993)|0|1|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0|0|0 +93|Welcome to the Dollhouse (1995)|24-May-1996||http://us.imdb.com/Title?Welcome+to+the+Dollhouse+(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +94|Home Alone (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Home%20Alone%20(1990)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +95|Aladdin (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Aladdin%20(1992)|0|0|0|1|1|1|0|0|0|0|0|0|1|0|0|0|0|0|0 +96|Terminator 2: Judgment Day (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Terminator%202:%20Judgment%20Day%20(1991)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +97|Dances with Wolves (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Dances%20with%20Wolves%20(1990)|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1 +98|Silence of the Lambs, The (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Silence%20of%20the%20Lambs,%20The%20(1991)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +99|Snow White and the Seven Dwarfs (1937)|01-Jan-1937||http://us.imdb.com/M/title-exact?Snow%20White%20and%20the%20Seven%20Dwarfs%20(1937)|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +100|Fargo (1996)|14-Feb-1997||http://us.imdb.com/M/title-exact?Fargo%20(1996)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|1|0|0 +101|Heavy Metal (1981)|08-Mar-1981||http://us.imdb.com/M/title-exact?Heavy%20Metal%20(1981)|0|1|1|1|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0 +102|Aristocats, The (1970)|01-Jan-1970||http://us.imdb.com/M/title-exact?Aristocats,%20The%20(1970)|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +103|All Dogs Go to Heaven 2 (1996)|29-Mar-1996||http://us.imdb.com/M/title-exact?All%20Dogs%20Go%20to%20Heaven%202%20(1996)|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +104|Theodore Rex (1995)|29-Mar-1996||http://us.imdb.com/M/title-exact?Theodore%20Rex%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +105|Sgt. Bilko (1996)|29-Mar-1996||http://us.imdb.com/M/title-exact?Sgt.%20Bilko%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +106|Diabolique (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Diabolique%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +107|Moll Flanders (1996)|14-Jun-1996||http://us.imdb.com/M/title-exact?Moll%20Flanders%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +108|Kids in the Hall: Brain Candy (1996)|12-Apr-1996||http://us.imdb.com/M/title-exact?Kids%20in%20the%20Hall:%20Brain%20Candy%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +109|Mystery Science Theater 3000: The Movie (1996)|19-Apr-1996||http://us.imdb.com/M/title-exact?Mystery%20Science%20Theater%203000:%20The%20Movie%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0 +110|Operation Dumbo Drop (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Operation%20Dumbo%20Drop%20(1995)|0|1|1|0|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0 +111|Truth About Cats & Dogs, The (1996)|26-Apr-1996||http://us.imdb.com/M/title-exact?Truth%20About%20Cats%20&%20Dogs,%20The%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +112|Flipper (1996)|10-May-1996||http://us.imdb.com/M/title-exact?Flipper%20(1996)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +113|Horseman on the Roof, The (Hussard sur le toit, Le) (1995)|19-Apr-1996||http://us.imdb.com/M/title-exact?Hussard%20sur%20le%20toit,%20Le%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +114|Wallace & Gromit: The Best of Aardman Animation (1996)|05-Apr-1996||http://us.imdb.com/Title?Wallace+%26+Gromit%3A+The+Best+of+Aardman+Animation+(1996)|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +115|Haunted World of Edward D. Wood Jr., The (1995)|26-Apr-1996||http://us.imdb.com/Title?Haunted+World+of+Edward+D.+Wood+Jr.,+The+(1995)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +116|Cold Comfort Farm (1995)|23-Apr-1996||http://us.imdb.com/M/title-exact?Cold%20Comfort%20Farm%20(1995)%20(TV)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +117|Rock, The (1996)|07-Jun-1996||http://us.imdb.com/M/title-exact?Rock,%20The%20(1996)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +118|Twister (1996)|10-May-1996||http://us.imdb.com/M/title-exact?Twister%20(1996)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +119|Maya Lin: A Strong Clear Vision (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Maya%20Lin:%20A%20Strong%20Clear%20Vision%20(1994)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +120|Striptease (1996)|28-Jun-1996||http://us.imdb.com/M/title-exact?Striptease%20(1996)|0|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0 +121|Independence Day (ID4) (1996)|03-Jul-1996||http://us.imdb.com/M/title-exact?Independence%20Day%20(1996)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0 +122|Cable Guy, The (1996)|14-Jun-1996||http://us.imdb.com/M/title-exact?Cable%20Guy,%20The%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +123|Frighteners, The (1996)|19-Jul-1996||http://us.imdb.com/M/title-exact?Frighteners,%20The%20(1996)|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0 +124|Lone Star (1996)|21-Jun-1996||http://us.imdb.com/M/title-exact?Lone%20Star%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0|0|0|0 +125|Phenomenon (1996)|29-Jun-1996||http://us.imdb.com/M/title-exact?Phenomenon%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +126|Spitfire Grill, The (1996)|06-Sep-1996||http://us.imdb.com/M/title-exact?Spitfire%20Grill,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +127|Godfather, The (1972)|01-Jan-1972||http://us.imdb.com/M/title-exact?Godfather,%20The%20(1972)|0|1|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +128|Supercop (1992)|26-Jul-1996||http://us.imdb.com/M/title-exact?Police%20Story%20III:%20Supercop%20(1992)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +129|Bound (1996)|04-Oct-1996||http://us.imdb.com/M/title-exact?Bound%20(1996)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|1|0|1|0|0 +130|Kansas City (1996)|16-Aug-1996||http://us.imdb.com/M/title-exact?Kansas%20City%20(1996)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +131|Breakfast at Tiffany's (1961)|01-Jan-1961||http://us.imdb.com/M/title-exact?Breakfast%20at%20Tiffany's%20(1961)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +132|Wizard of Oz, The (1939)|01-Jan-1939||http://us.imdb.com/M/title-exact?Wizard%20of%20Oz,%20The%20(1939)|0|0|1|0|1|0|0|0|1|0|0|0|1|0|0|0|0|0|0 +133|Gone with the Wind (1939)|01-Jan-1939||http://us.imdb.com/M/title-exact?Gone%20with%20the%20Wind%20(1939)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|1|0 +134|Citizen Kane (1941)|01-Jan-1941||http://us.imdb.com/M/title-exact?Citizen%20Kane%20(1941)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +135|2001: A Space Odyssey (1968)|01-Jan-1968||http://us.imdb.com/M/title-exact?2001:%20A%20Space%20Odyssey%20(1968)|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|1|1|0|0 +136|Mr. Smith Goes to Washington (1939)|01-Jan-1939||http://us.imdb.com/M/title-exact?Mr.%20Smith%20Goes%20to%20Washington%20(1939)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +137|Big Night (1996)|20-Sep-1996||http://us.imdb.com/M/title-exact?Big%20Night%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +138|D3: The Mighty Ducks (1996)|04-Oct-1996||http://us.imdb.com/M/title-exact?D3:%20The%20Mighty%20Ducks%20(1996)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +139|Love Bug, The (1969)|01-Jan-1969||http://us.imdb.com/M/title-exact?Love%20Bug,%20The%20(1969)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +140|Homeward Bound: The Incredible Journey (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Homeward%20Bound:%20The%20Incredible%20Journey%20(1993)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +141|20,000 Leagues Under the Sea (1954)|01-Jan-1954||http://us.imdb.com/M/title-exact?20,000%20Leagues%20Under%20the%20Sea%20(1954)|0|0|1|0|1|0|0|0|0|1|0|0|0|0|0|1|0|0|0 +142|Bedknobs and Broomsticks (1971)|01-Jan-1971||http://us.imdb.com/M/title-exact?Bedknobs%20and%20Broomsticks%20(1971)|0|0|1|0|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +143|Sound of Music, The (1965)|01-Jan-1965||http://us.imdb.com/M/title-exact?Sound%20of%20Music,%20The%20(1965)|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +144|Die Hard (1988)|01-Jan-1988||http://us.imdb.com/M/title-exact?Die%20Hard%20(1988)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +145|Lawnmower Man, The (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Lawnmower%20Man,%20The%20(1992)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +146|Unhook the Stars (1996)|30-Oct-1996||http://us.imdb.com/M/title-exact?Unhook%20the%20Stars%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +147|Long Kiss Goodnight, The (1996)|05-Oct-1996||http://us.imdb.com/M/title-exact?Long%20Kiss%20Goodnight,%20The%20(1996)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +148|Ghost and the Darkness, The (1996)|11-Oct-1996||http://us.imdb.com/M/title-exact?Ghost%20and%20the%20Darkness,%20The%20(1996)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +149|Jude (1996)|01-Nov-1996||http://us.imdb.com/M/title-exact?Jude%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +150|Swingers (1996)|18-Oct-1996||http://us.imdb.com/M/title-exact?Swingers%20(1996)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +151|Willy Wonka and the Chocolate Factory (1971)|01-Jan-1971||http://us.imdb.com/M/title-exact?Willy%20Wonka%20and%20the%20Chocolate%20Factory%20(1971)|0|0|1|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +152|Sleeper (1973)|01-Jan-1973||http://us.imdb.com/M/title-exact?Sleeper%20(1973)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0 +153|Fish Called Wanda, A (1988)|01-Jan-1988||http://us.imdb.com/M/title-exact?Fish%20Called%20Wanda,%20A%20(1988)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +154|Monty Python's Life of Brian (1979)|01-Jan-1979||http://us.imdb.com/M/title-exact?Life%20of%20Brian%20(1979)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +155|Dirty Dancing (1987)|01-Jan-1987||http://us.imdb.com/M/title-exact?Dirty%20Dancing%20(1987)|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0|0|0 +156|Reservoir Dogs (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Reservoir%20Dogs%20(1992)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0 +157|Platoon (1986)|01-Jan-1986||http://us.imdb.com/M/title-exact?Platoon%20(1986)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +158|Weekend at Bernie's (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?Weekend%20at%20Bernie's%20(1989)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +159|Basic Instinct (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Basic%20Instinct%20(1992)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +160|Glengarry Glen Ross (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Glengarry%20Glen%20Ross%20(1992)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +161|Top Gun (1986)|01-Jan-1986||http://us.imdb.com/M/title-exact?Top%20Gun%20(1986)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +162|On Golden Pond (1981)|01-Jan-1981||http://us.imdb.com/M/title-exact?On%20Golden%20Pond%20(1981)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +163|Return of the Pink Panther, The (1974)|01-Jan-1974||http://us.imdb.com/M/title-exact?Return%20of%20the%20Pink%20Panther,%20The%20(1974)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +164|Abyss, The (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?Abyss,%20The%20(1989)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +165|Jean de Florette (1986)|01-Jan-1986||http://us.imdb.com/M/title-exact?Jean%20de%20Florette%20(1986)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +166|Manon of the Spring (Manon des sources) (1986)|01-Jan-1986||http://us.imdb.com/M/title-exact?Manon%20des%20sources%20(1986)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +167|Private Benjamin (1980)|01-Jan-1980||http://us.imdb.com/M/title-exact?Private%20Benjamin%20(1980)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +168|Monty Python and the Holy Grail (1974)|01-Jan-1974||http://us.imdb.com/M/title-exact?Monty%20Python%20and%20the%20Holy%20Grail%20(1974)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +169|Wrong Trousers, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Wrong%20Trousers,%20The%20(1993)|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +170|Cinema Paradiso (1988)|01-Jan-1988||http://us.imdb.com/M/title-exact?Nuovo%20cinema%20Paradiso%20(1988)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|1|0|0|0|0 +171|Delicatessen (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Delicatessen%20(1991)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0 +172|Empire Strikes Back, The (1980)|01-Jan-1980||http://us.imdb.com/M/title-exact?Empire%20Strikes%20Back,%20The%20(1980)|0|1|1|0|0|0|0|0|1|0|0|0|0|0|1|1|0|1|0 +173|Princess Bride, The (1987)|01-Jan-1987||http://us.imdb.com/M/title-exact?Princess%20Bride,%20The%20(1987)|0|1|1|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +174|Raiders of the Lost Ark (1981)|01-Jan-1981||http://us.imdb.com/M/title-exact?Raiders%20of%20the%20Lost%20Ark%20(1981)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +175|Brazil (1985)|01-Jan-1985||http://us.imdb.com/M/title-exact?Brazil%20(1985)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +176|Aliens (1986)|01-Jan-1986||http://us.imdb.com/M/title-exact?Aliens%20(1986)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|1|0 +177|Good, The Bad and The Ugly, The (1966)|01-Jan-1966||http://us.imdb.com/M/title-exact?Buono,%20il%20brutto,%20il%20cattivo,%20Il%20(1966)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +178|12 Angry Men (1957)|01-Jan-1957||http://us.imdb.com/M/title-exact?12%20Angry%20Men%20(1957)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +179|Clockwork Orange, A (1971)|01-Jan-1971||http://us.imdb.com/M/title-exact?Clockwork%20Orange,%20A%20(1971)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +180|Apocalypse Now (1979)|01-Jan-1979||http://us.imdb.com/M/title-exact?Apocalypse%20Now%20(1979)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +181|Return of the Jedi (1983)|14-Mar-1997||http://us.imdb.com/M/title-exact?Return%20of%20the%20Jedi%20(1983)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|1|1|0|1|0 +182|GoodFellas (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?GoodFellas%20(1990)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +183|Alien (1979)|01-Jan-1979||http://us.imdb.com/M/title-exact?Alien%20(1979)|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0|1|1|0|0 +184|Army of Darkness (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Army%20of%20Darkness%20(1993)|0|1|1|0|0|1|0|0|0|0|0|1|0|0|0|1|0|0|0 +185|Psycho (1960)|01-Jan-1960||http://us.imdb.com/M/title-exact?Psycho%20(1960)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|1|0|0 +186|Blues Brothers, The (1980)|01-Jan-1980||http://us.imdb.com/M/title-exact?Blues%20Brothers,%20The%20(1980)|0|1|0|0|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0 +187|Godfather: Part II, The (1974)|01-Jan-1974||http://us.imdb.com/M/title-exact?Godfather:%20Part%20II,%20The%20(1974)|0|1|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +188|Full Metal Jacket (1987)|01-Jan-1987||http://us.imdb.com/M/title-exact?Full%20Metal%20Jacket%20(1987)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +189|Grand Day Out, A (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Grand%20Day%20Out,%20A%20(1992)|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +190|Henry V (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?Henry%20V%20(1989)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +191|Amadeus (1984)|01-Jan-1984||http://us.imdb.com/M/title-exact?Amadeus%20(1984)|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0|0|0|0 +192|Raging Bull (1980)|01-Jan-1980||http://us.imdb.com/M/title-exact?Raging%20Bull%20(1980)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +193|Right Stuff, The (1983)|01-Jan-1983||http://us.imdb.com/M/title-exact?Right%20Stuff,%20The%20(1983)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +194|Sting, The (1973)|01-Jan-1973||http://us.imdb.com/M/title-exact?Sting,%20The%20(1973)|0|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0 +195|Terminator, The (1984)|01-Jan-1984||http://us.imdb.com/M/title-exact?Terminator,%20The%20(1984)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +196|Dead Poets Society (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?Dead%20Poets%20Society%20(1989)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +197|Graduate, The (1967)|01-Jan-1967||http://us.imdb.com/M/title-exact?Graduate,%20The%20(1967)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +198|Nikita (La Femme Nikita) (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Nikita%20(1990)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +199|Bridge on the River Kwai, The (1957)|01-Jan-1957||http://us.imdb.com/M/title-exact?Bridge%20on%20the%20River%20Kwai,%20The%20(1957)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +200|Shining, The (1980)|01-Jan-1980||http://us.imdb.com/M/title-exact?Shining,%20The%20(1980)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +201|Evil Dead II (1987)|01-Jan-1987||http://us.imdb.com/M/title-exact?Evil%20Dead%20II%20(1987)|0|1|1|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0 +202|Groundhog Day (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Groundhog%20Day%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +203|Unforgiven (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Unforgiven%20(1992)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +204|Back to the Future (1985)|01-Jan-1985||http://us.imdb.com/M/title-exact?Back%20to%20the%20Future%20(1985)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0 +205|Patton (1970)|01-Jan-1970||http://us.imdb.com/M/title-exact?Patton%20(1970)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +206|Akira (1988)|01-Jan-1988||http://us.imdb.com/M/title-exact?Akira%20(1988)|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +207|Cyrano de Bergerac (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Cyrano%20de%20Bergerac%20(1990)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +208|Young Frankenstein (1974)|01-Jan-1974||http://us.imdb.com/M/title-exact?Young%20Frankenstein%20(1974)|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0 +209|This Is Spinal Tap (1984)|01-Jan-1984||http://us.imdb.com/M/title-exact?This%20Is%20Spinal%20Tap%20(1984)|0|0|0|0|0|1|0|0|1|0|0|0|1|0|0|0|0|0|0 +210|Indiana Jones and the Last Crusade (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?Indiana%20Jones%20and%20the%20Last%20Crusade%20(1989)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +211|M*A*S*H (1970)|01-Jan-1970||http://us.imdb.com/M/title-exact?MASH%20(1970)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0 +212|Unbearable Lightness of Being, The (1988)|01-Jan-1988||http://us.imdb.com/M/title-exact?Unbearable%20Lightness%20of%20Being,%20The%20(1988)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +213|Room with a View, A (1986)|01-Jan-1986||http://us.imdb.com/M/title-exact?Room%20with%20a%20View,%20A%20(1986)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +214|Pink Floyd - The Wall (1982)|01-Jan-1982||http://us.imdb.com/M/title-exact?Pink%20Floyd%20-%20The%20Wall%20(1982)|0|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0|0|1|0 +215|Field of Dreams (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?Field%20of%20Dreams%20(1989)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +216|When Harry Met Sally... (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?When%20Harry%20Met%20Sally...%20(1989)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +217|Bram Stoker's Dracula (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Bram%20Stoker's%20Dracula%20(1992)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0|0|0 +218|Cape Fear (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Cape%20Fear%20(1991)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +219|Nightmare on Elm Street, A (1984)|01-Jan-1984||http://us.imdb.com/M/title-exact?Nightmare%20on%20Elm%20Street,%20A%20(1984)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +220|Mirror Has Two Faces, The (1996)|15-Nov-1996||http://us.imdb.com/M/title-exact?Mirror%20Has%20Two%20Faces,%20The%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +221|Breaking the Waves (1996)|15-Nov-1996||http://us.imdb.com/M/title-exact?Breaking%20the%20Waves%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +222|Star Trek: First Contact (1996)|22-Nov-1996||http://us.imdb.com/M/title-exact?Star%20Trek:%20First%20Contact%20(1996)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +223|Sling Blade (1996)|22-Nov-1996||http://us.imdb.com/M/title-exact?Sling%20Blade%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +224|Ridicule (1996)|27-Nov-1996||http://us.imdb.com/M/title-exact?Ridicule%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +225|101 Dalmatians (1996)|27-Nov-1996||http://us.imdb.com/M/title-exact?101%20Dalmatians%20(1996)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +226|Die Hard 2 (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Die%20Hard%202%20(1990)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +227|Star Trek VI: The Undiscovered Country (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Star%20Trek%20VI:%20The%20Undiscovered%20Country%20(1991)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +228|Star Trek: The Wrath of Khan (1982)|01-Jan-1982||http://us.imdb.com/M/title-exact?Star%20Trek:%20The%20Wrath%20of%20Khan%20(1982)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +229|Star Trek III: The Search for Spock (1984)|01-Jan-1984||http://us.imdb.com/M/title-exact?Star%20Trek%20III:%20The%20Search%20for%20Spock%20(1984)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +230|Star Trek IV: The Voyage Home (1986)|01-Jan-1986||http://us.imdb.com/M/title-exact?Star%20Trek%20IV:%20The%20Voyage%20Home%20(1986)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +231|Batman Returns (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Batman%20Returns%20(1992)|0|1|1|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0 +232|Young Guns (1988)|01-Jan-1988||http://us.imdb.com/M/title-exact?Young%20Guns%20(1988)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1 +233|Under Siege (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Under%20Siege%20(1992)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +234|Jaws (1975)|01-Jan-1975||http://us.imdb.com/M/title-exact?Jaws%20(1975)|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +235|Mars Attacks! (1996)|13-Dec-1996||http://us.imdb.com/M/title-exact?Mars%20Attacks!%20(1996)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|1|0 +236|Citizen Ruth (1996)|13-Dec-1996||http://us.imdb.com/M/title-exact?Citizen%20Ruth%20(1996)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +237|Jerry Maguire (1996)|13-Dec-1996||http://us.imdb.com/M/title-exact?Jerry%20Maguire%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +238|Raising Arizona (1987)|01-Jan-1987||http://us.imdb.com/M/title-exact?Raising%20Arizona%20(1987)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +239|Sneakers (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Sneakers%20(1992)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|1|0|0|0 +240|Beavis and Butt-head Do America (1996)|20-Dec-1996||http://us.imdb.com/M/title-exact?Beavis%20and%20Butt-head%20Do%20America%20(1996)|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +241|Last of the Mohicans, The (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Last%20of%20the%20Mohicans,%20The%20(1992)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0 +242|Kolya (1996)|24-Jan-1997||http://us.imdb.com/M/title-exact?Kolya%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +243|Jungle2Jungle (1997)|07-Mar-1997||http://us.imdb.com/M/title-exact?Jungle2Jungle%20(1997)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +244|Smilla's Sense of Snow (1997)|14-Mar-1997||http://us.imdb.com/M/title-exact?Smilla%27s%20Sense%20of%20Snow%20(1997)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +245|Devil's Own, The (1997)|26-Mar-1997||http://us.imdb.com/M/title-exact?Devil%27s%20Own%2C%20The%20(1997)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|1|0 +246|Chasing Amy (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Chasing+Amy+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +247|Turbo: A Power Rangers Movie (1997)|28-Mar-1997||http://us.imdb.com/M/title-exact?Turbo%3A%20A%20Power%20Rangers%20Movie%20%281997%29|0|1|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +248|Grosse Pointe Blank (1997)|11-Apr-1997||http://us.imdb.com/M/title-exact?Grosse%20Pointe%20Blank%20%281997%29|0|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0 +249|Austin Powers: International Man of Mystery (1997)|02-May-1997||http://us.imdb.com/M/title-exact?Austin%20Powers%3A%20International%20Man%20of%20Mystery%20%281997%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +250|Fifth Element, The (1997)|09-May-1997||http://us.imdb.com/M/title-exact?Fifth%20Element%2C%20The%20%281997%29|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +251|Shall We Dance? (1996)|11-Jul-1997||http://us.imdb.com/M/title-exact?Shall%20we%20DANSU%3F%20%281996%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +252|Lost World: Jurassic Park, The (1997)|23-May-1997||http://us.imdb.com/M/title-exact?Lost%20World%3A%20Jurassic%20Park%2C%20The%20%281997%29|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +253|Pillow Book, The (1995)|13-Jun-1997||http://us.imdb.com/M/title-exact?Pillow%20Book%2C%20The%20%281995%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +254|Batman & Robin (1997)|20-Jun-1997||http://us.imdb.com/M/title-exact?Batman+%26+Robin+(1997)|0|1|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +255|My Best Friend's Wedding (1997)|20-Jun-1997||http://us.imdb.com/M/title-exact?My+Best+Friend%27s+Wedding+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +256|When the Cats Away (Chacun cherche son chat) (1996)|20-Jun-1997||http://us.imdb.com/M/title-exact?Chacun+cherche+son+chat+(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +257|Men in Black (1997)|04-Jul-1997||http://us.imdb.com/M/title-exact?Men+in+Black+(1997)|0|1|1|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0 +258|Contact (1997)|11-Jul-1997||http://us.imdb.com/Title?Contact+(1997/I)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|1|0|0|0 +259|George of the Jungle (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?George+of+the+Jungle+(1997)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +260|Event Horizon (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Event+Horizon+(1997)|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0|1|1|0|0 +261|Air Bud (1997)|01-Aug-1997||http://us.imdb.com/M/title-exact?Air+Bud+(1997)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +262|In the Company of Men (1997)|01-Aug-1997||http://us.imdb.com/M/title-exact?In+the+Company+of+Men+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +263|Steel (1997)|15-Aug-1997||http://us.imdb.com/M/title-exact?Steel+(1997)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +264|Mimic (1997)|22-Aug-1997||http://us.imdb.com/M/title-exact?Mimic+(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +265|Hunt for Red October, The (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Hunt+for+Red+October%2C+The+(1990)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +266|Kull the Conqueror (1997)|29-Aug-1997||http://us.imdb.com/M/title-exact?Kull+the+Conqueror+(1997)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +267|unknown||||1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +268|Chasing Amy (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Chasing+Amy+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +269|Full Monty, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Full+Monty%2C+The+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +270|Gattaca (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Gattaca+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|1|1|0|0 +271|Starship Troopers (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Starship+Troopers+(1997)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0 +272|Good Will Hunting (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-119217|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +273|Heat (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Heat%20(1995)|0|1|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0 +274|Sabrina (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Sabrina%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +275|Sense and Sensibility (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Sense%20and%20Sensibility%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +276|Leaving Las Vegas (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Leaving%20Las%20Vegas%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +277|Restoration (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Restoration%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +278|Bed of Roses (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Bed%20of%20Roses%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +279|Once Upon a Time... When We Were Colored (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Once%20Upon%20a%20Time... When%20We%20Were%20Colored%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +280|Up Close and Personal (1996)|01-Mar-1996||http://us.imdb.com/M/title-exact?Up%20Close%20and%20Personal%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +281|River Wild, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?River%20Wild,%20The%20(1994)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +282|Time to Kill, A (1996)|13-Jul-1996||http://us.imdb.com/M/title-exact?Time%20to%20Kill,%20A%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +283|Emma (1996)|02-Aug-1996||http://us.imdb.com/M/title-exact?Emma%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +284|Tin Cup (1996)|16-Aug-1996||http://us.imdb.com/M/title-exact?Tin%20Cup%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +285|Secrets & Lies (1996)|04-Oct-1996||http://us.imdb.com/M/title-exact?Secrets%20&%20Lies%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +286|English Patient, The (1996)|15-Nov-1996||http://us.imdb.com/M/title-exact?English%20Patient,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|1|0 +287|Marvin's Room (1996)|18-Dec-1996||http://us.imdb.com/M/title-exact?Marvin's%20Room%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +288|Scream (1996)|20-Dec-1996||http://us.imdb.com/M/title-exact?Scream%20(1996)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0 +289|Evita (1996)|25-Dec-1996||http://us.imdb.com/M/title-exact?Evita%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0 +290|Fierce Creatures (1997)|10-Jan-1997||http://us.imdb.com/M/title-exact?Fierce%20Creatures%20(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +291|Absolute Power (1997)|14-Feb-1997||http://us.imdb.com/M/title-exact?Absolute%20Power%20(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +292|Rosewood (1997)|21-Feb-1997||http://us.imdb.com/M/title-exact?Rosewood%20(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +293|Donnie Brasco (1997)|28-Feb-1997||http://us.imdb.com/M/title-exact?Donnie%20Brasco%20(1997)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +294|Liar Liar (1997)|21-Mar-1997||http://us.imdb.com/Title?Liar+Liar+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +295|Breakdown (1997)|02-May-1997||http://us.imdb.com/M/title-exact?Breakdown%20%281997%29|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +296|Promesse, La (1996)|16-May-1997||http://us.imdb.com/M/title-exact?Promesse%2C%20La%20%281996%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +297|Ulee's Gold (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Ulee%27s+Gold+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +298|Face/Off (1997)|27-Jun-1997||http://us.imdb.com/M/title-exact?Face/Off+(1997)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +299|Hoodlum (1997)|22-Aug-1997||http://us.imdb.com/M/title-exact?Hoodlum+(1997)|0|0|0|0|0|0|1|0|1|0|1|0|0|0|0|0|0|0|0 +300|Air Force One (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Air+Force+One+(1997)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +301|In & Out (1997)|19-Sep-1997||http://us.imdb.com/Title?In+%26+Out+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +302|L.A. Confidential (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?L%2EA%2E+Confidential+(1997)|0|0|0|0|0|0|1|0|0|0|1|0|0|1|0|0|1|0|0 +303|Ulee's Gold (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Ulee%27s+Gold+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +304|Fly Away Home (1996)|13-Sep-1996||http://us.imdb.com/M/title-exact?Fly%20Away%20Home%20(1996)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +305|Ice Storm, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Ice+Storm%2C+The+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +306|Mrs. Brown (Her Majesty, Mrs. Brown) (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Her+Majesty%2C+Mrs%2E+Brown+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +307|Devil's Advocate, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Devil's+Advocate,+The+(1997)|0|0|0|0|0|0|1|0|0|0|0|1|0|1|0|0|1|0|0 +308|FairyTale: A True Story (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Fairytale:+A+True+Story+(1997)|0|0|0|0|1|0|0|0|1|1|0|0|0|0|0|0|0|0|0 +309|Deceiver (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Liar+(1997)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +310|Rainmaker, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Rainmaker,+The+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +311|Wings of the Dove, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Wings+of+the+Dove%2C+The+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|1|0|0 +312|Midnight in the Garden of Good and Evil (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Midnight+in+the+Garden+of+Good+and+Evil+(1997)|0|0|0|0|0|1|1|0|1|0|0|0|0|1|0|0|0|0|0 +313|Titanic (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-120338|0|1|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +314|3 Ninjas: High Noon At Mega Mountain (1998)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-118539|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +315|Apt Pupil (1998)|23-Oct-1998||http://us.imdb.com/Title?Apt+Pupil+(1998)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +316|As Good As It Gets (1997)|23-Dec-1997||http://us.imdb.com/Title?As+Good+As+It+Gets+(1997)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +317|In the Name of the Father (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?In%20the%20Name%20of%20the%20Father%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +318|Schindler's List (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Schindler's%20List%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +319|Everyone Says I Love You (1996)|06-Dec-1996||http://us.imdb.com/M/title-exact?Everyone%20Says%20I%20Love%20You%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|1|0|1|0|0|0|0 +320|Paradise Lost: The Child Murders at Robin Hood Hills (1996)|06-Dec-1996||http://us.imdb.com/M/title-exact?Paradise%20Lost%3a%20The%20Child%20Murders%20at%20Robin%20Hood%20Hills%20(1996)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +321|Mother (1996)|25-Dec-1996||http://us.imdb.com/M/title-exact?Mother%20(1996/I)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +322|Murder at 1600 (1997)|18-Apr-1997||http://us.imdb.com/M/title-exact?Murder%20at%201600%20(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +323|Dante's Peak (1997)|07-Feb-1997||http://us.imdb.com/M/title-exact?Dante's%20Peak%20(1997)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +324|Lost Highway (1997)|21-Feb-1997||http://us.imdb.com/Title?Lost+Highway+(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0 +325|Crash (1996)|21-Mar-1997||http://us.imdb.com/M/title-exact?Crash%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +326|G.I. Jane (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?G%2EI%2E+Jane+(1997)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +327|Cop Land (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Cop+Land+(1997)|0|0|0|0|0|0|1|0|1|0|0|0|0|1|0|0|0|0|0 +328|Conspiracy Theory (1997)|08-Aug-1997||http://us.imdb.com/M/title-exact?Conspiracy+Theory+(1997)|0|1|0|0|0|0|0|0|0|0|0|0|0|1|1|0|1|0|0 +329|Desperate Measures (1998)|30-Jan-1998||http://us.imdb.com/Title?Desperate+Measures+(1998)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|1|0|0 +330|187 (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?187+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +331|Edge, The (1997)|26-Sep-1997||http://us.imdb.com/M/title-exact?Edge%2C+The+(1997/I)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +332|Kiss the Girls (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Kiss+the+Girls+(1997)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|1|0|0 +333|Game, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Game%2C+The+(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +334|U Turn (1997)|01-Jan-1997||http://us.imdb.com/Title?U+Turn+(1997)|0|1|0|0|0|0|1|0|0|0|0|0|0|1|0|0|0|0|0 +335|How to Be a Player (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?How+to+Be+a+Player+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +336|Playing God (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Playing+God+(1997)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0 +337|House of Yes, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?House+of+Yes,+The+(1997)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|1|0|0 +338|Bean (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Bean+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +339|Mad City (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Mad+City+(1997)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +340|Boogie Nights (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Boogie+Nights+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +341|Critical Care (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Critical+Care+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +342|Man Who Knew Too Little, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Man+Who+Knew+Too+Little%2C+The+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0|0|0|0 +343|Alien: Resurrection (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Alien%3A+Resurrection+(1997)|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0 +344|Apostle, The (1997)|18-Dec-1997||http://us.imdb.com/M/title-exact?imdb-title-118632|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +345|Deconstructing Harry (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-118954|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +346|Jackie Brown (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-119396|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +347|Wag the Dog (1997)|09-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-120885|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +348|Desperate Measures (1998)|30-Jan-1998||http://us.imdb.com/Title?Desperate+Measures+(1998)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|1|0|0 +349|Hard Rain (1998)|16-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-120696|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +350|Fallen (1998)|16-Jan-1998||http://us.imdb.com/Title?Fallen+(1998)|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +351|Prophecy II, The (1998)|16-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-119959|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +352|Spice World (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-120185|0|0|0|0|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0 +353|Deep Rising (1998)|30-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-118956|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0 +354|Wedding Singer, The (1998)|13-Feb-1998||http://us.imdb.com/M/title-exact?Wedding+Singer%2C+The+(1998)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +355|Sphere (1998)|13-Feb-1998||http://us.imdb.com/M/title-exact?Sphere+(1998)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +356|Client, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Client,%20The%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0|1|0|0 +357|One Flew Over the Cuckoo's Nest (1975)|01-Jan-1975||http://us.imdb.com/M/title-exact?One%20Flew%20Over%20the%20Cuckoo's%20Nest%20(1975)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +358|Spawn (1997)|01-Aug-1997||http://us.imdb.com/M/title-exact?Spawn+(1997/I)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +359|Assignment, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Assignment%2C+The+(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +360|Wonderland (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Wonderland+(1997)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +361|Incognito (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Incognito+(1997)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0 +362|Blues Brothers 2000 (1998)|06-Feb-1998||http://us.imdb.com/M/title-exact?Blues+Brothers+2000+(1998)|0|1|0|0|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0 +363|Sudden Death (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Sudden%20Death%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +364|Ace Ventura: When Nature Calls (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Ace%20Ventura:%20When%20Nature%20Calls%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +365|Powder (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Powder%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +366|Dangerous Minds (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Dangerous%20Minds%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +367|Clueless (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Clueless%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +368|Bio-Dome (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Bio-Dome%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +369|Black Sheep (1996)|02-Feb-1996||http://us.imdb.com/M/title-exact?Black%20Sheep%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +370|Mary Reilly (1996)|23-Feb-1996||http://us.imdb.com/M/title-exact?Mary%20Reilly%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +371|Bridges of Madison County, The (1995)|09-Feb-1996||http://us.imdb.com/M/title-exact?Bridges%20of%20Madison%20County,%20The%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +372|Jeffrey (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Jeffrey%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +373|Judge Dredd (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Judge%20Dredd%20(1995)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +374|Mighty Morphin Power Rangers: The Movie (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Mighty%20Morphin%20Power%20Rangers:%20The%20Movie%20(1995)|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +375|Showgirls (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Showgirls%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +376|Houseguest (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Houseguest%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +377|Heavyweights (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Heavyweights%20(1994)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +378|Miracle on 34th Street (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Miracle%20on%2034th%20Street%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +379|Tales From the Crypt Presents: Demon Knight (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Tales%20From%20the%20Crypt%20Presents:%20Demon%20Knight%20(1995)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +380|Star Trek: Generations (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Star%20Trek:%20Generations%20(1994)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +381|Muriel's Wedding (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Muriel's%20Wedding%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +382|Adventures of Priscilla, Queen of the Desert, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Adventures%20of%20Priscilla,%20Queen%20of%20the%20Desert,%20The%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +383|Flintstones, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Flintstones,%20The%20(1994)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +384|Naked Gun 33 1/3: The Final Insult (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Naked%20Gun%2033%201/3:%20The%20Final%20Insult%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +385|True Lies (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?True%20Lies%20(1994)|0|1|1|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +386|Addams Family Values (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Addams%20Family%20Values%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +387|Age of Innocence, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Age%20of%20Innocence,%20The%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +388|Beverly Hills Cop III (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Beverly%20Hills%20Cop%20III%20(1994)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +389|Black Beauty (1994)|01-Jan-1994||http://us.imdb.com/Title?Black+Beauty+(1994/I)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +390|Fear of a Black Hat (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Fear%20of%20a%20Black%20Hat%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +391|Last Action Hero (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Last%20Action%20Hero%20(1993)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +392|Man Without a Face, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Man%20Without%20a%20Face,%20The%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +393|Mrs. Doubtfire (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Mrs.%20Doubtfire%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +394|Radioland Murders (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Radioland%20Murders%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|1|1|0|0|0|0 +395|Robin Hood: Men in Tights (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Robin%20Hood:%20Men%20in%20Tights%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +396|Serial Mom (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Serial%20Mom%20(1994)|0|0|0|0|0|1|1|0|0|0|0|1|0|0|0|0|0|0|0 +397|Striking Distance (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Striking%20Distance%20(1993)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +398|Super Mario Bros. (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Super%20Mario%20Bros.%20(1993)|0|1|1|0|1|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +399|Three Musketeers, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Three%20Musketeers,%20The%20(1993)|0|1|1|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +400|Little Rascals, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Little%20Rascals,%20The%20(1994)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +401|Brady Bunch Movie, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Brady%20Bunch%20Movie,%20The%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +402|Ghost (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Ghost%20(1990)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|1|0|0 +403|Batman (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?Batman%20(1989)|0|1|1|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +404|Pinocchio (1940)|01-Jan-1940||http://us.imdb.com/M/title-exact?Pinocchio%20(1940)|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +405|Mission: Impossible (1996)|22-May-1996||http://us.imdb.com/M/title-exact?Mission:%20Impossible%20(1996)|0|1|1|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0 +406|Thinner (1996)|25-Oct-1996||http://us.imdb.com/M/title-exact?Thinner%20(1996)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0 +407|Spy Hard (1996)|24-May-1996||http://us.imdb.com/M/title-exact?Spy%20Hard%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +408|Close Shave, A (1995)|28-Apr-1996||http://us.imdb.com/M/title-exact?Close%20Shave,%20A%20(1995)|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|1|0|0 +409|Jack (1996)|07-Aug-1996||http://us.imdb.com/M/title-exact?Jack%20(1996)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +410|Kingpin (1996)|12-Jul-1996||http://us.imdb.com/M/title-exact?Kingpin%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +411|Nutty Professor, The (1996)|28-Jun-1996||http://us.imdb.com/M/title-exact?Nutty%20Professor,%20The%20(1996)|0|0|0|0|0|1|0|0|0|1|0|0|0|0|1|1|0|0|0 +412|Very Brady Sequel, A (1996)|23-Aug-1996||http://us.imdb.com/M/title-exact?Very%20Brady%20Sequel,%20A%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +413|Tales from the Crypt Presents: Bordello of Blood (1996)|19-Jul-1996||http://us.imdb.com/M/title-exact?Tales%20from%20the%20Crypt%20Presents:%20Bordello%20of%20Blood%20(1996)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +414|My Favorite Year (1982)|01-Jan-1982||http://us.imdb.com/M/title-exact?My%20Favorite%20Year%20(1982)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +415|Apple Dumpling Gang, The (1975)|01-Jan-1975||http://us.imdb.com/M/title-exact?Apple%20Dumpling%20Gang,%20The%20(1975)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1 +416|Old Yeller (1957)|01-Jan-1957||http://us.imdb.com/M/title-exact?Old%20Yeller%20(1957)|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +417|Parent Trap, The (1961)|01-Jan-1961||http://us.imdb.com/M/title-exact?Parent%20Trap,%20The%20(1961)|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +418|Cinderella (1950)|01-Jan-1950||http://us.imdb.com/M/title-exact?Cinderella%20(1950)|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +419|Mary Poppins (1964)|01-Jan-1964||http://us.imdb.com/M/title-exact?Mary%20Poppins%20(1964)|0|0|0|0|1|1|0|0|0|0|0|0|1|0|0|0|0|0|0 +420|Alice in Wonderland (1951)|01-Jan-1951||http://us.imdb.com/M/title-exact?Alice%20in%20Wonderland%20(1951)|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +421|William Shakespeare's Romeo and Juliet (1996)|25-Oct-1996||http://us.imdb.com/Title?Romeo+%2B+Juliet+(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +422|Aladdin and the King of Thieves (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Aladdin%20and%20the%20King%20of%20Thieves%20(1996)%20(V)|0|0|0|1|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +423|E.T. the Extra-Terrestrial (1982)|01-Jan-1982||http://us.imdb.com/M/title-exact?E%2ET%2E%20the%20Extra-Terrestrial%20%281982%29|0|0|0|0|1|0|0|0|1|1|0|0|0|0|0|1|0|0|0 +424|Children of the Corn: The Gathering (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Children%20of%20the%20Corn%3A%20The%20Gathering%20%281996%29|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +425|Bob Roberts (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Bob%20Roberts%20(1992)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +426|Transformers: The Movie, The (1986)|01-Jan-1986||http://us.imdb.com/M/title-exact?Transformers:%20The%20Movie,%20The%20(1986)|0|1|0|1|1|0|0|0|0|0|0|0|0|0|0|1|1|1|0 +427|To Kill a Mockingbird (1962)|01-Jan-1962||http://us.imdb.com/M/title-exact?To%20Kill%20a%20Mockingbird%20(1962)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +428|Harold and Maude (1971)|01-Jan-1971||http://us.imdb.com/M/title-exact?Harold%20and%20Maude%20(1971)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +429|Day the Earth Stood Still, The (1951)|01-Jan-1951||http://us.imdb.com/M/title-exact?Day%20the%20Earth%20Stood%20Still,%20The%20(1951)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|1|0|0|0 +430|Duck Soup (1933)|01-Jan-1933||http://us.imdb.com/M/title-exact?Duck%20Soup%20(1933)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0 +431|Highlander (1986)|01-Jan-1986||http://us.imdb.com/M/title-exact?Highlander%20(1986)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +432|Fantasia (1940)|01-Jan-1940||http://us.imdb.com/M/title-exact?Fantasia%20(1940)|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +433|Heathers (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?Heathers%20(1989)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +434|Forbidden Planet (1956)|01-Jan-1956||http://us.imdb.com/M/title-exact?Forbidden%20Planet%20(1956)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +435|Butch Cassidy and the Sundance Kid (1969)|01-Jan-1969||http://us.imdb.com/M/title-exact?Butch%20Cassidy%20and%20the%20Sundance%20Kid%20(1969)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1 +436|American Werewolf in London, An (1981)|01-Jan-1981||http://us.imdb.com/M/title-exact?American%20Werewolf%20in%20London,%20An%20(1981)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +437|Amityville 1992: It's About Time (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Amityville%201992:%20It's%20About%20Time%20(1992)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +438|Amityville 3-D (1983)|01-Jan-1983||http://us.imdb.com/M/title-exact?Amityville%203-D%20(1983)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +439|Amityville: A New Generation (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Amityville:%20A%20New%20Generation%20(1993)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +440|Amityville II: The Possession (1982)|01-Jan-1982||http://us.imdb.com/M/title-exact?Amityville%20II:%20The%20Possession%20(1982)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +441|Amityville Horror, The (1979)|01-Jan-1979||http://us.imdb.com/M/title-exact?Amityville%20Horror,%20The%20(1979)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +442|Amityville Curse, The (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Amityville%20Curse,%20The%20(1990)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +443|Birds, The (1963)|01-Jan-1963||http://us.imdb.com/M/title-exact?Birds,%20The%20(1963)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +444|Blob, The (1958)|01-Jan-1958||http://us.imdb.com/M/title-exact?Blob,%20The%20(1958)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0 +445|Body Snatcher, The (1945)|01-Jan-1945||http://us.imdb.com/M/title-exact?Body%20Snatcher,%20The%20(1945)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +446|Burnt Offerings (1976)|01-Jan-1976||http://us.imdb.com/M/title-exact?Burnt%20Offerings%20(1976)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +447|Carrie (1976)|01-Jan-1976||http://us.imdb.com/M/title-exact?Carrie%20(1976)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +448|Omen, The (1976)|01-Jan-1976||http://us.imdb.com/M/title-exact?Omen,%20The%20(1976)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +449|Star Trek: The Motion Picture (1979)|01-Jan-1979||http://us.imdb.com/M/title-exact?Star%20Trek:%20The%20Motion%20Picture%20(1979)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +450|Star Trek V: The Final Frontier (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?Star%20Trek%20V:%20The%20Final%20Frontier%20(1989)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +451|Grease (1978)|01-Jan-1978||http://us.imdb.com/M/title-exact?Grease%20(1978)|0|0|0|0|0|1|0|0|0|0|0|0|1|0|1|0|0|0|0 +452|Jaws 2 (1978)|01-Jan-1978||http://us.imdb.com/M/title-exact?Jaws%202%20(1978)|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +453|Jaws 3-D (1983)|01-Jan-1983||http://us.imdb.com/M/title-exact?Jaws%203-D%20(1983)|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +454|Bastard Out of Carolina (1996)|15-Dec-1996||http://us.imdb.com/M/title-exact?Bastard%20Out%20of%20Carolina%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +455|Jackie Chan's First Strike (1996)|10-Jan-1997||http://us.imdb.com/M/title-exact?Police%20Story%204:%20First%20Strike%20(1996)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +456|Beverly Hills Ninja (1997)|17-Jan-1997||http://us.imdb.com/M/title-exact?Beverly%20Hills%20Ninja%20(1997)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +457|Free Willy 3: The Rescue (1997)|08-Aug-1997||http://us.imdb.com/M/title-exact?Free+Willy+3%3A+The+Rescue+(1997)|0|0|1|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +458|Nixon (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Nixon%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +459|Cry, the Beloved Country (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Cry,%20the%20Beloved%20Country%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +460|Crossing Guard, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Crossing%20Guard,%20The%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +461|Smoke (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Smoke%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +462|Like Water For Chocolate (Como agua para chocolate) (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Como%20agua%20para%20chocolate%20(1992)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +463|Secret of Roan Inish, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Secret%20of%20Roan%20Inish,%20The%20(1994)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +464|Vanya on 42nd Street (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Vanya%20on%2042nd%20Street%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +465|Jungle Book, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Jungle%20Book,%20The%20(1994)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +466|Red Rock West (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Red%20Rock%20West%20(1992)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +467|Bronx Tale, A (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Bronx%20Tale,%20A%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +468|Rudy (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Rudy%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +469|Short Cuts (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Short%20Cuts%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +470|Tombstone (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Tombstone%20(1993)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +471|Courage Under Fire (1996)|08-Mar-1996||http://us.imdb.com/M/title-exact?Courage%20Under%20Fire%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +472|Dragonheart (1996)|31-May-1996||http://us.imdb.com/M/title-exact?Dragonheart%20(1996)|0|1|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0 +473|James and the Giant Peach (1996)|12-Apr-1996||http://us.imdb.com/M/title-exact?James%20and%20the%20Giant%20Peach%20(1996)|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +474|Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb (1963)|01-Jan-1963||http://us.imdb.com/M/title-exact?Dr.%20Strangelove%20or:%20How%20I%20Learned%20to%20Stop%20Worrying%20and%20Love%20the%20Bomb%20(1963)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0 +475|Trainspotting (1996)|19-Jul-1996||http://us.imdb.com/Title?Trainspotting+(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +476|First Wives Club, The (1996)|14-Sep-1996||http://us.imdb.com/M/title-exact?First%20Wives%20Club,%20The%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +477|Matilda (1996)|02-Aug-1996||http://us.imdb.com/M/title-exact?Matilda%20(1996)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +478|Philadelphia Story, The (1940)|01-Jan-1940||http://us.imdb.com/M/title-exact?Philadelphia%20Story,%20The%20(1940)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +479|Vertigo (1958)|01-Jan-1958||http://us.imdb.com/M/title-exact?Vertigo%20(1958)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +480|North by Northwest (1959)|01-Jan-1959||http://us.imdb.com/M/title-exact?North%20by%20Northwest%20(1959)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|1|0|0 +481|Apartment, The (1960)|01-Jan-1960||http://us.imdb.com/M/title-exact?Apartment,%20The%20(1960)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +482|Some Like It Hot (1959)|01-Jan-1959||http://us.imdb.com/M/title-exact?Some%20Like%20It%20Hot%20(1959)|0|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0 +483|Casablanca (1942)|01-Jan-1942||http://us.imdb.com/M/title-exact?Casablanca%20(1942)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|1|0 +484|Maltese Falcon, The (1941)|01-Jan-1941||http://us.imdb.com/M/title-exact?Maltese%20Falcon,%20The%20(1941)|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0|0|0|0 +485|My Fair Lady (1964)|01-Jan-1964||http://us.imdb.com/M/title-exact?My%20Fair%20Lady%20(1964)|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0|0|0 +486|Sabrina (1954)|01-Jan-1954||http://us.imdb.com/M/title-exact?Sabrina%20(1954)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +487|Roman Holiday (1953)|01-Jan-1953||http://us.imdb.com/M/title-exact?Roman%20Holiday%20(1953)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +488|Sunset Blvd. (1950)|01-Jan-1950||http://us.imdb.com/M/title-exact?Sunset%20Boulevard%20(1950)|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0 +489|Notorious (1946)|01-Jan-1946||http://us.imdb.com/M/title-exact?Notorious%20(1946)|0|0|0|0|0|0|0|0|0|0|1|0|0|0|1|0|1|0|0 +490|To Catch a Thief (1955)|01-Jan-1955||http://us.imdb.com/M/title-exact?To%20Catch%20a%20Thief%20(1955)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|1|0|0 +491|Adventures of Robin Hood, The (1938)|01-Jan-1938||http://us.imdb.com/M/title-exact?Adventures%20of%20Robin%20Hood,%20The%20(1938)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +492|East of Eden (1955)|01-Jan-1955||http://us.imdb.com/M/title-exact?East%20of%20Eden%20(1955)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +493|Thin Man, The (1934)|01-Jan-1934||http://us.imdb.com/M/title-exact?Thin%20Man,%20The%20(1934)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0 +494|His Girl Friday (1940)|01-Jan-1940||http://us.imdb.com/M/title-exact?His%20Girl%20Friday%20(1940)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +495|Around the World in 80 Days (1956)|01-Jan-1956||http://us.imdb.com/M/title-exact?Around%20the%20World%20in%2080%20Days%20(1956)|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +496|It's a Wonderful Life (1946)|01-Jan-1946||http://us.imdb.com/M/title-exact?It's%20a%20Wonderful%20Life%20(1946)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +497|Bringing Up Baby (1938)|01-Jan-1938||http://us.imdb.com/M/title-exact?Bringing%20Up%20Baby%20(1938)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +498|African Queen, The (1951)|01-Jan-1951||http://us.imdb.com/M/title-exact?African%20Queen,%20The%20(1951)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0 +499|Cat on a Hot Tin Roof (1958)|01-Jan-1958||http://us.imdb.com/M/title-exact?Cat%20on%20a%20Hot%20Tin%20Roof%20(1958)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +500|Fly Away Home (1996)|13-Sep-1996||http://us.imdb.com/M/title-exact?Fly%20Away%20Home%20(1996)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +501|Dumbo (1941)|01-Jan-1941||http://us.imdb.com/M/title-exact?Dumbo%20(1941)|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +502|Bananas (1971)|01-Jan-1971||http://us.imdb.com/M/title-exact?Bananas%20(1971)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0 +503|Candidate, The (1972)|01-Jan-1972||http://us.imdb.com/M/title-exact?Candidate,%20The%20(1972)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +504|Bonnie and Clyde (1967)|01-Jan-1967||http://us.imdb.com/M/title-exact?Bonnie%20and%20Clyde%20(1967)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +505|Dial M for Murder (1954)|01-Jan-1954||http://us.imdb.com/M/title-exact?Dial%20M%20for%20Murder%20(1954)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +506|Rebel Without a Cause (1955)|01-Jan-1955||http://us.imdb.com/M/title-exact?Rebel%20Without%20a%20Cause%20(1955)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +507|Streetcar Named Desire, A (1951)|01-Jan-1951||http://us.imdb.com/M/title-exact?Streetcar%20Named%20Desire,%20A%20(1951)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +508|People vs. Larry Flynt, The (1996)|27-Dec-1996||http://us.imdb.com/M/title-exact?People%20vs.%20Larry%20Flynt,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +509|My Left Foot (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?My%20Left%20Foot%20(1989)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +510|Magnificent Seven, The (1954)|01-Jan-1954||http://us.imdb.com/M/title-exact?Shichinin%20no%20samurai%20(1954)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1 +511|Lawrence of Arabia (1962)|01-Jan-1962||http://us.imdb.com/M/title-exact?Lawrence%20of%20Arabia%20(1962)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0 +512|Wings of Desire (1987)|01-Jan-1987||http://us.imdb.com/Title?Himmel+%FCber+Berlin,+Der+(1987)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|1|0|0|0|0 +513|Third Man, The (1949)|01-Jan-1949||http://us.imdb.com/M/title-exact?Third%20Man,%20The%20(1949)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +514|Annie Hall (1977)|01-Jan-1977||http://us.imdb.com/M/title-exact?Annie%20Hall%20(1977)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +515|Boot, Das (1981)|04-Apr-1997||http://us.imdb.com/M/title-exact?Boot,%20Das%20(1981)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +516|Local Hero (1983)|01-Jan-1983||http://us.imdb.com/M/title-exact?Local%20Hero%20(1983)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +517|Manhattan (1979)|01-Jan-1979||http://us.imdb.com/M/title-exact?Manhattan%20(1979)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|1|0|0|0|0 +518|Miller's Crossing (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Miller's%20Crossing%20(1990)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +519|Treasure of the Sierra Madre, The (1948)|01-Jan-1948||http://us.imdb.com/M/title-exact?Treasure%20of%20the%20Sierra%20Madre,%20The%20(1948)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +520|Great Escape, The (1963)|01-Jan-1963||http://us.imdb.com/M/title-exact?Great%20Escape,%20The%20(1963)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0 +521|Deer Hunter, The (1978)|01-Jan-1978||http://us.imdb.com/M/title-exact?Deer%20Hunter,%20The%20(1978)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +522|Down by Law (1986)|01-Jan-1986||http://us.imdb.com/M/title-exact?Down%20by%20Law%20(1986)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +523|Cool Hand Luke (1967)|01-Jan-1967||http://us.imdb.com/M/title-exact?Cool%20Hand%20Luke%20(1967)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +524|Great Dictator, The (1940)|01-Jan-1940||http://us.imdb.com/M/title-exact?Great%20Dictator,%20The%20(1940)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +525|Big Sleep, The (1946)|01-Jan-1946||http://us.imdb.com/M/title-exact?Big%20Sleep,%20The%20(1946)|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0|0|0|0 +526|Ben-Hur (1959)|01-Jan-1959||http://us.imdb.com/M/title-exact?Ben-Hur%20(1959)|0|1|1|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +527|Gandhi (1982)|01-Jan-1982||http://us.imdb.com/M/title-exact?Gandhi%20(1982)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +528|Killing Fields, The (1984)|01-Jan-1984||http://us.imdb.com/M/title-exact?Killing%20Fields,%20The%20(1984)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +529|My Life as a Dog (Mitt liv som hund) (1985)|01-Jan-1985||http://us.imdb.com/M/title-exact?Mitt%20liv%20som%20hund%20(1985)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +530|Man Who Would Be King, The (1975)|01-Jan-1975||http://us.imdb.com/M/title-exact?Man%20Who%20Would%20Be%20King,%20The%20(1975)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +531|Shine (1996)|22-Nov-1996||http://us.imdb.com/M/title-exact?Shine%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +532|Kama Sutra: A Tale of Love (1996)|07-Mar-1997||http://us.imdb.com/M/title-exact?Kama%20Sutra%20(1996)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +533|Daytrippers, The (1996)|21-Mar-1997||http://us.imdb.com/M/title-exact?Daytrippers%2C%20The%20(1996)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0 +534|Traveller (1997)|18-Apr-1997||http://us.imdb.com/M/title-exact?Traveller%20%281997%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +535|Addicted to Love (1997)|23-May-1997||http://us.imdb.com/M/title-exact?Addicted%20to%20Love%20%281997%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +536|Ponette (1996)|23-May-1997||http://us.imdb.com/M/title-exact?Ponette%20%281996%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +537|My Own Private Idaho (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?My+Own+Private+Idaho+(1991)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +538|Anastasia (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Anastasia+(1997)|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +539|Mouse Hunt (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-119715|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +540|Money Train (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Money%20Train%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +541|Mortal Kombat (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Mortal%20Kombat%20(1995)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +542|Pocahontas (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Pocahontas%20(1995)|0|0|0|1|1|0|0|0|0|0|0|0|1|0|1|0|0|0|0 +543|Misérables, Les (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Mis%E9rables%2C%20Les%20%281995%29|0|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0 +544|Things to Do in Denver when You're Dead (1995)|02-Feb-1996||http://us.imdb.com/M/title-exact?Things%20to%20Do%20in%20Denver%20when%20You're%20Dead%20(1995)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|1|0|0|0|0 +545|Vampire in Brooklyn (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Vampire%20in%20Brooklyn%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +546|Broken Arrow (1996)|09-Feb-1996||http://us.imdb.com/M/title-exact?Broken%20Arrow%20(1996)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +547|Young Poisoner's Handbook, The (1995)|23-Feb-1996||http://us.imdb.com/M/title-exact?Young%20Poisoner's%20Handbook,%20The%20(1995)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +548|NeverEnding Story III, The (1994)|02-Feb-1996||http://us.imdb.com/M/title-exact?NeverEnding%20Story%20III,%20The%20(1994)|0|0|0|0|1|0|0|0|0|1|0|0|0|0|0|0|0|0|0 +549|Rob Roy (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Rob%20Roy%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|1|0 +550|Die Hard: With a Vengeance (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Die%20Hard:%20With%20a%20Vengeance%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +551|Lord of Illusions (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Lord%20of%20Illusions%20(1995)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +552|Species (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Species%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +553|Walk in the Clouds, A (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Walk%20in%20the%20Clouds,%20A%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +554|Waterworld (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Waterworld%20(1995)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +555|White Man's Burden (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?White%20Man's%20Burden%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +556|Wild Bill (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Wild%20Bill%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +557|Farinelli: il castrato (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Farinelli:%20il%20castrato%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0 +558|Heavenly Creatures (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Heavenly%20Creatures%20(1994)|0|0|0|0|0|0|0|0|1|1|0|0|0|0|0|0|1|0|0 +559|Interview with the Vampire (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Interview%20with%20the%20Vampire%20(1994)|0|0|0|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0 +560|Kid in King Arthur's Court, A (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Kid%20in%20King%20Arthur's%20Court,%20A%20(1995)|0|0|1|0|1|1|0|0|0|1|0|0|0|0|1|1|0|0|0 +561|Mary Shelley's Frankenstein (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Mary%20Shelley's%20Frankenstein%20(1994)|0|0|0|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0 +562|Quick and the Dead, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Quick%20and%20the%20Dead,%20The%20(1995)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +563|Stephen King's The Langoliers (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?%22Langoliers,%20The%22%20(1995)%20(mini)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +564|Tales from the Hood (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Tales%20from%20the%20Hood%20(1995)|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0 +565|Village of the Damned (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Village%20of%20the%20Damned%20(1995)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0 +566|Clear and Present Danger (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Clear%20and%20Present%20Danger%20(1994)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +567|Wes Craven's New Nightmare (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Wes%20Craven's%20New%20Nightmare%20(1994)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +568|Speed (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Speed%20(1994/I)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0 +569|Wolf (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Wolf%20(1994)|0|0|0|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0 +570|Wyatt Earp (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Wyatt%20Earp%20(1994)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +571|Another Stakeout (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Another%20Stakeout%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|1|0|0 +572|Blown Away (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Blown%20Away%20(1994)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +573|Body Snatchers (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Body%20Snatchers%20(1993)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|1|1|0|0 +574|Boxing Helena (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Boxing%20Helena%20(1993)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|1|0|0 +575|City Slickers II: The Legend of Curly's Gold (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?City%20Slickers%20II:%20The%20Legend%20of%20Curly's%20Gold%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1 +576|Cliffhanger (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Cliffhanger%20(1993)|0|1|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +577|Coneheads (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Coneheads%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0 +578|Demolition Man (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Demolition%20Man%20(1993)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +579|Fatal Instinct (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Fatal%20Instinct%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +580|Englishman Who Went Up a Hill, But Came Down a Mountain, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Englishman%20Who%20Went%20Up%20a%20Hill,%20But%20Came%20Down%20a%20Mountain,%20The%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +581|Kalifornia (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Kalifornia%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +582|Piano, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Piano,%20The%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +583|Romeo Is Bleeding (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Romeo%20Is%20Bleeding%20(1993)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0 +584|Secret Garden, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Secret%20Garden,%20The%20(1993)|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +585|Son in Law (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Son%20in%20Law%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +586|Terminal Velocity (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Terminal%20Velocity%20(1994)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +587|Hour of the Pig, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Hour%20of%20the%20Pig,%20The%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0|0|0|0 +588|Beauty and the Beast (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Beauty%20and%20the%20Beast%20(1991)|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +589|Wild Bunch, The (1969)|01-Jan-1969||http://us.imdb.com/M/title-exact?Wild%20Bunch,%20The%20(1969)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +590|Hellraiser: Bloodline (1996)|08-Mar-1996||http://us.imdb.com/M/title-exact?Hellraiser:%20Bloodline%20(1996)|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0 +591|Primal Fear (1996)|30-Mar-1996||http://us.imdb.com/M/title-exact?Primal%20Fear%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +592|True Crime (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?True%20Crime%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +593|Stalingrad (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Stalingrad%20(1993)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0 +594|Heavy (1995)|05-Jun-1996||http://us.imdb.com/M/title-exact?Heavy%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +595|Fan, The (1996)|16-Aug-1996||http://us.imdb.com/M/title-exact?Fan,%20The%20(1996)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +596|Hunchback of Notre Dame, The (1996)|21-Jun-1996||http://us.imdb.com/M/title-exact?Hunchback%20of%20Notre%20Dame,%20The%20(1996)|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +597|Eraser (1996)|21-Jun-1996||http://us.imdb.com/M/title-exact?Eraser%20(1996)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +598|Big Squeeze, The (1996)|06-Sep-1996||http://us.imdb.com/M/title-exact?Big%20Squeeze,%20The%20(1996)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +599|Police Story 4: Project S (Chao ji ji hua) (1993)|16-Aug-1996||http://us.imdb.com/M/title-exact?Project%20S%20(1993)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +600|Daniel Defoe's Robinson Crusoe (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Robinson%20Crusoe%20(1996)|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +601|For Whom the Bell Tolls (1943)|01-Jan-1943||http://us.imdb.com/M/title-exact?For%20Whom%20the%20Bell%20Tolls%20(1943)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0 +602|American in Paris, An (1951)|01-Jan-1951||http://us.imdb.com/M/title-exact?American%20in%20Paris,%20An%20(1951)|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0|0|0 +603|Rear Window (1954)|01-Jan-1954||http://us.imdb.com/M/title-exact?Rear%20Window%20(1954)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +604|It Happened One Night (1934)|01-Jan-1934||http://us.imdb.com/M/title-exact?It%20Happened%20One%20Night%20(1934)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +605|Meet Me in St. Louis (1944)|01-Jan-1944||http://us.imdb.com/M/title-exact?Meet%20Me%20in%20St.%20Louis%20(1944)|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +606|All About Eve (1950)|01-Jan-1950||http://us.imdb.com/M/title-exact?All%20About%20Eve%20(1950)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +607|Rebecca (1940)|01-Jan-1940||http://us.imdb.com/M/title-exact?Rebecca%20(1940)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0 +608|Spellbound (1945)|01-Jan-1945||http://us.imdb.com/M/title-exact?Spellbound%20(1945)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|1|0|0 +609|Father of the Bride (1950)|01-Jan-1950||http://us.imdb.com/M/title-exact?Father%20of%20the%20Bride%20(1950)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +610|Gigi (1958)|01-Jan-1958||http://us.imdb.com/M/title-exact?Gigi%20(1958)|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +611|Laura (1944)|01-Jan-1944||http://us.imdb.com/M/title-exact?Laura%20(1944)|0|0|0|0|0|0|1|0|0|0|1|0|0|1|0|0|0|0|0 +612|Lost Horizon (1937)|01-Jan-1937||http://us.imdb.com/M/title-exact?Lost%20Horizon%20(1937)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +613|My Man Godfrey (1936)|01-Jan-1936||http://us.imdb.com/M/title-exact?My%20Man%20Godfrey%20(1936)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +614|Giant (1956)|01-Jan-1956||http://us.imdb.com/M/title-exact?Giant%20(1956)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +615|39 Steps, The (1935)|01-Jan-1935||http://us.imdb.com/M/title-exact?39%20Steps,%20The%20(1935)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +616|Night of the Living Dead (1968)|01-Jan-1968||http://us.imdb.com/M/title-exact?Night%20of%20the%20Living%20Dead%20(1968)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0 +617|Blue Angel, The (Blaue Engel, Der) (1930)|01-Jan-1930||http://us.imdb.com/M/title-exact?Blaue%20Engel,%20Der%20(1930)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +618|Picnic (1955)|01-Jan-1955||http://us.imdb.com/M/title-exact?Picnic%20(1955)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +619|Extreme Measures (1996)|27-Sep-1996||http://us.imdb.com/M/title-exact?Extreme%20Measures%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +620|Chamber, The (1996)|11-Oct-1996||http://us.imdb.com/M/title-exact?Chamber,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +621|Davy Crockett, King of the Wild Frontier (1955)|01-Jan-1955||http://us.imdb.com/M/title-exact?Davy%20Crockett%2C%20King%20of%20the%20Wild%20Frontier%20%281955%29|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +622|Swiss Family Robinson (1960)|01-Jan-1960||http://us.imdb.com/M/title-exact?Swiss%20Family%20Robinson%20(1960)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +623|Angels in the Outfield (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Angels%20in%20the%20Outfield%20(1994)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +624|Three Caballeros, The (1945)|01-Jan-1945||http://us.imdb.com/M/title-exact?Three%20Caballeros,%20The%20(1945)|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +625|Sword in the Stone, The (1963)|01-Jan-1963||http://us.imdb.com/M/title-exact?Sword%20in%20the%20Stone,%20The%20(1963)|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +626|So Dear to My Heart (1949)|01-Jan-1949||http://us.imdb.com/Title?So+Dear+to+My+Heart+(1949)|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +627|Robin Hood: Prince of Thieves (1991)|01-Jan-1991||http://us.imdb.com/Title?Robin+Hood%3A+Prince+of+Thieves+(1991)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +628|Sleepers (1996)|18-Oct-1996||http://us.imdb.com/M/title-exact?Sleepers%20(1996)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +629|Victor/Victoria (1982)|01-Jan-1982||http://us.imdb.com/M/title-exact?Victor/Victoria%20%281982%29|0|0|0|0|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0 +630|Great Race, The (1965)|01-Jan-1965||http://us.imdb.com/M/title-exact?Great%20Race,%20The%20(1965)|0|0|0|0|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0 +631|Crying Game, The (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Crying%20Game,%20The%20(1992)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|1|0 +632|Sophie's Choice (1982)|01-Jan-1982||http://us.imdb.com/M/title-exact?Sophie's%20Choice%20(1982)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +633|Christmas Carol, A (1938)|01-Jan-1938||http://us.imdb.com/M/title-exact?Christmas%20Carol,%20A%20(1938)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +634|Microcosmos: Le peuple de l'herbe (1996)|11-Oct-1996||http://us.imdb.com/M/title-exact?Microcosmos%3A%20Le%20peuple%20de%20l%27herbe%20%281996%29|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +635|Fog, The (1980)|01-Jan-1980||http://us.imdb.com/M/title-exact?Fog,%20The%20(1980)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +636|Escape from New York (1981)|01-Jan-1981||http://us.imdb.com/M/title-exact?Escape%20from%20New%20York%20(1981)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +637|Howling, The (1981)|01-Jan-1981||http://us.imdb.com/M/title-exact?Howling,%20The%20(1981)|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0 +638|Return of Martin Guerre, The (Retour de Martin Guerre, Le) (1982)|01-Jan-1982||http://us.imdb.com/M/title-exact?Retour%20de%20Martin%20Guerre,%20Le%20(1982)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +639|Tin Drum, The (Blechtrommel, Die) (1979)|01-Jan-1979||http://us.imdb.com/M/title-exact?Blechtrommel,%20Die%20(1979)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +640|Cook the Thief His Wife & Her Lover, The (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?Cook%20the%20Thief%20His%20Wife%20&%20Her%20Lover,%20The%20(1989)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +641|Paths of Glory (1957)|01-Jan-1957||http://us.imdb.com/M/title-exact?Paths%20of%20Glory%20(1957)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +642|Grifters, The (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Grifters,%20The%20(1990)|0|0|0|0|0|0|1|0|1|0|1|0|0|0|0|0|0|0|0 +643|The Innocent (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Innocent,%20The%20(1994)%20(TV)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +644|Thin Blue Line, The (1988)|01-Jan-1988||http://us.imdb.com/M/title-exact?Thin%20Blue%20Line,%20The%20(1988)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +645|Paris Is Burning (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Paris%20Is%20Burning%20(1990)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +646|Once Upon a Time in the West (1969)|01-Jan-1969||http://us.imdb.com/M/title-exact?C'era%20una%20volta%20il%20west%20(1969)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +647|Ran (1985)|01-Jan-1985||http://us.imdb.com/M/title-exact?Ran%20(1985)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +648|Quiet Man, The (1952)|01-Jan-1952||http://us.imdb.com/M/title-exact?Quiet%20Man,%20The%20(1952)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +649|Once Upon a Time in America (1984)|01-Jan-1984||http://us.imdb.com/M/title-exact?Once%20Upon%20a%20Time%20in%20America%20(1984)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|1|0|0 +650|Seventh Seal, The (Sjunde inseglet, Det) (1957)|01-Jan-1957||http://us.imdb.com/M/title-exact?Sjunde%20inseglet,%20Det%20(1957)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +651|Glory (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?Glory%20(1989)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +652|Rosencrantz and Guildenstern Are Dead (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Rosencrantz%20and%20Guildenstern%20Are%20Dead%20(1990)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +653|Touch of Evil (1958)|01-Jan-1958||http://us.imdb.com/M/title-exact?Touch%20of%20Evil%20(1958)|0|0|0|0|0|0|1|0|0|0|1|0|0|0|0|0|1|0|0 +654|Chinatown (1974)|01-Jan-1974||http://us.imdb.com/M/title-exact?Chinatown%20(1974)|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0|1|0|0 +655|Stand by Me (1986)|01-Jan-1986||http://us.imdb.com/M/title-exact?Stand%20by%20Me%20(1986)|0|0|1|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +656|M (1931)|01-Jan-1931||http://us.imdb.com/M/title-exact?M%20(1931)|0|0|0|0|0|0|1|0|0|0|1|0|0|0|0|0|1|0|0 +657|Manchurian Candidate, The (1962)|01-Jan-1962||http://us.imdb.com/M/title-exact?Manchurian%20Candidate,%20The%20(1962)|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0 +658|Pump Up the Volume (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Pump%20Up%20the%20Volume%20(1990)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +659|Arsenic and Old Lace (1944)|01-Jan-1944||http://us.imdb.com/M/title-exact?Arsenic%20and%20Old%20Lace%20(1944)|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0|1|0|0 +660|Fried Green Tomatoes (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Fried%20Green%20Tomatoes%20at%20the%20Whistle%20Stop%20Cafe%20(1991)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +661|High Noon (1952)|01-Jan-1952||http://us.imdb.com/M/title-exact?High%20Noon%20(1952)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +662|Somewhere in Time (1980)|01-Jan-1980||http://us.imdb.com/M/title-exact?Somewhere%20in%20Time%20(1980)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +663|Being There (1979)|01-Jan-1979||http://us.imdb.com/M/title-exact?Being%20There%20(1979)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +664|Paris, Texas (1984)|01-Jan-1984||http://us.imdb.com/M/title-exact?Paris,%20Texas%20(1984)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +665|Alien 3 (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Alien%203%20(1992)|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0|1|1|0|0 +666|Blood For Dracula (Andy Warhol's Dracula) (1974)|01-Jan-1974||http://us.imdb.com/M/title-exact?Andy%20Warhol's%20Dracula%20(1974)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +667|Audrey Rose (1977)|01-Jan-1977||http://us.imdb.com/M/title-exact?Audrey%20Rose%20(1977)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +668|Blood Beach (1981)|01-Jan-1981||http://us.imdb.com/M/title-exact?Blood%20Beach%20(1981)|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +669|Body Parts (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Body%20Parts%20(1991)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +670|Body Snatchers (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Body%20Snatchers%20(1993)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|1|1|0|0 +671|Bride of Frankenstein (1935)|01-Jan-1935||http://us.imdb.com/M/title-exact?Bride%20of%20Frankenstein%20(1935)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +672|Candyman (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Candyman%20(1992)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +673|Cape Fear (1962)|01-Jan-1962||http://us.imdb.com/M/title-exact?Cape%20Fear%20(1962)|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0 +674|Cat People (1982)|01-Jan-1982||http://us.imdb.com/M/title-exact?Cat%20People%20(1982)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +675|Nosferatu (Nosferatu, eine Symphonie des Grauens) (1922)|01-Jan-1922||http://us.imdb.com/M/title-exact?Nosferatu,%20eine%20Symphonie%20des%20Grauens%20(1922)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +676|Crucible, The (1996)|27-Nov-1996||http://us.imdb.com/M/title-exact?Crucible,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +677|Fire on the Mountain (1996)|24-Jan-1997||http://us.imdb.com/M/title-exact?Fire%20on%20the%20Mountain%20(1996)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +678|Volcano (1997)|25-Apr-1997||http://us.imdb.com/M/title-exact?Volcano%20%281997%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +679|Conan the Barbarian (1981)|01-Jan-1981||http://us.imdb.com/M/title-exact?Conan+the+Barbarian+(1981)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +680|Kull the Conqueror (1997)|29-Aug-1997||http://us.imdb.com/M/title-exact?Kull+the+Conqueror+(1997)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +681|Wishmaster (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Wishmaster+(1997)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +682|I Know What You Did Last Summer (1997)|17-Oct-1997||http://us.imdb.com/M/title-exact?I+Know+What+You+Did+Last+Summer+(1997)|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0|1|0|0 +683|Rocket Man (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Rocket+Man+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +684|In the Line of Fire (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?In%20the%20Line%20of%20Fire%20(1993)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +685|Executive Decision (1996)|09-Mar-1996||http://us.imdb.com/M/title-exact?Executive%20Decision%20(1996)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +686|Perfect World, A (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Perfect%20World,%20A%20(1993)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +687|McHale's Navy (1997)|18-Apr-1997||http://us.imdb.com/M/title-exact?McHale's%20Navy%20(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0 +688|Leave It to Beaver (1997)|22-Aug-1997||http://us.imdb.com/M/title-exact?Leave+It+To+Beaver+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +689|Jackal, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Jackal%2C+The+(1997)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +690|Seven Years in Tibet (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Seven+Years+in+Tibet+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +691|Dark City (1998)|09-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-118929|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|1|1|0|0 +692|American President, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?American%20President,%20The%20(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|1|0|0|0|0 +693|Casino (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Casino%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +694|Persuasion (1995)|25-Sep-1995||http://us.imdb.com/Title?Persuasion+(1995/I)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +695|Kicking and Screaming (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Kicking%20and%20Screaming%20(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +696|City Hall (1996)|16-Feb-1996||http://us.imdb.com/M/title-exact?City%20Hall%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +697|Basketball Diaries, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Basketball%20Diaries,%20The%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +698|Browning Version, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Browning%20Version,%20The%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +699|Little Women (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Little%20Women%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +700|Miami Rhapsody (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Miami%20Rhapsody%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +701|Wonderful, Horrible Life of Leni Riefenstahl, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Macht%20der%20Bilder:%20Leni%20Riefenstahl,%20Die%20(1993)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +702|Barcelona (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Barcelona%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +703|Widows' Peak (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Widows'%20Peak%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +704|House of the Spirits, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?House%20of%20the%20Spirits,%20The%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +705|Singin' in the Rain (1952)|01-Jan-1952||http://us.imdb.com/M/title-exact?Singin'%20in%20the%20Rain%20(1952)|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0|0|0 +706|Bad Moon (1996)|01-Nov-1996||http://us.imdb.com/M/title-exact?Bad%20Moon%20(1996)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +707|Enchanted April (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Enchanted%20April%20(1991)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +708|Sex, Lies, and Videotape (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?sex,%20lies,%20and%20videotape%20(1989)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +709|Strictly Ballroom (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Strictly%20Ballroom%20(1992)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +710|Better Off Dead... (1985)|01-Jan-1985||http://us.imdb.com/Title?Better+Off+Dead...+(1985)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +711|Substance of Fire, The (1996)|06-Dec-1996||http://us.imdb.com/M/title-exact?Substance%20of%20Fire,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +712|Tin Men (1987)|01-Jan-1987||http://us.imdb.com/M/title-exact?Tin%20Men%20(1987)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +713|Othello (1995)|18-Dec-1995||http://us.imdb.com/M/title-exact?Othello%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +714|Carrington (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Carrington%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +715|To Die For (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?To%20Die%20For%20(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +716|Home for the Holidays (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Home%20for%20the%20Holidays%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +717|Juror, The (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Juror,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +718|In the Bleak Midwinter (1995)|23-Feb-1996||http://us.imdb.com/M/title-exact?In%20the%20Bleak%20Midwinter%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +719|Canadian Bacon (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Canadian%20Bacon%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0 +720|First Knight (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?First%20Knight%20(1995)|0|1|1|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +721|Mallrats (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Mallrats%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +722|Nine Months (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Nine%20Months%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +723|Boys on the Side (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Boys%20on%20the%20Side%20(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +724|Circle of Friends (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Circle%20of%20Friends%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +725|Exit to Eden (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Exit%20to%20Eden%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +726|Fluke (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Fluke%20(1995)|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +727|Immortal Beloved (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Immortal%20Beloved%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +728|Junior (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Junior%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0 +729|Nell (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Nell%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +730|Queen Margot (Reine Margot, La) (1994)|01-Jan-1996||http://us.imdb.com/Title?Reine+Margot,+La+(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +731|Corrina, Corrina (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Corrina,%20Corrina%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|1|0|0|0|0 +732|Dave (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Dave%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +733|Go Fish (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Go%20Fish%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +734|Made in America (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Made%20in%20America%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +735|Philadelphia (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Philadelphia%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +736|Shadowlands (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Shadowlands%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +737|Sirens (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Sirens%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +738|Threesome (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Threesome%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +739|Pretty Woman (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Pretty%20Woman%20(1990)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +740|Jane Eyre (1996)|05-Apr-1996||http://us.imdb.com/M/title-exact?Jane%20Eyre%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +741|Last Supper, The (1995)|05-Apr-1996||http://us.imdb.com/M/title-exact?Last%20Supper,%20The%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +742|Ransom (1996)|08-Nov-1996||http://us.imdb.com/M/title-exact?Ransom%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +743|Crow: City of Angels, The (1996)|30-Aug-1996||http://us.imdb.com/M/title-exact?Crow%3A%20City%20of%20Angels%2C%20The%20%281996%29|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +744|Michael Collins (1996)|11-Oct-1996||http://us.imdb.com/M/title-exact?Michael%20Collins%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +745|Ruling Class, The (1972)|01-Jan-1972||http://us.imdb.com/M/title-exact?Ruling%20Class,%20The%20(1972)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +746|Real Genius (1985)|01-Jan-1985||http://us.imdb.com/M/title-exact?Real%20Genius%20(1985)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +747|Benny & Joon (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Benny%20&%20Joon%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +748|Saint, The (1997)|14-Mar-1997||http://us.imdb.com/M/title-exact?Saint%2C%20The%20(1997)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0 +749|MatchMaker, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Matchmaker%2C+The+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +750|Amistad (1997)|18-Dec-1997||http://us.imdb.com/M/title-exact?imdb-title-118607|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +751|Tomorrow Never Dies (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-120347|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0 +752|Replacement Killers, The (1998)|06-Feb-1998||http://us.imdb.com/M/title-exact?Replacement+Killers%2C+The+(1998)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +753|Burnt By the Sun (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Utomlyonnye%20Solntsem%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +754|Red Corner (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Red+Corner+(1997)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0 +755|Jumanji (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Jumanji%20(1995)|0|1|1|0|1|0|0|0|0|1|0|0|0|0|0|1|0|0|0 +756|Father of the Bride Part II (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Father%20of%20the%20Bride%20Part%20II%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +757|Across the Sea of Time (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Across%20The%20Sea%20of%20Time%20(1995)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +758|Lawnmower Man 2: Beyond Cyberspace (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Lawnmower%20Man%202:%20Beyond%20Cyberspace%20(1996)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +759|Fair Game (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Fair%20Game%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +760|Screamers (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Screamers%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +761|Nick of Time (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Nick%20of%20Time%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +762|Beautiful Girls (1996)|09-Feb-1996||http://us.imdb.com/M/title-exact?Beautiful%20Girls%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +763|Happy Gilmore (1996)|16-Feb-1996||http://us.imdb.com/M/title-exact?Happy%20Gilmore%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +764|If Lucy Fell (1996)|08-Mar-1996||http://us.imdb.com/M/title-exact?If%20Lucy%20Fell%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +765|Boomerang (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Boomerang%20(1992)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +766|Man of the Year (1995)|01-Mar-1996||http://us.imdb.com/M/title-exact?Man%20of%20the%20Year%20(1995)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +767|Addiction, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Addiction,%20The%20(1995)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +768|Casper (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Casper%20(1995)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +769|Congo (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Congo%20(1995)|0|1|1|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0|0 +770|Devil in a Blue Dress (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Devil%20in%20a%20Blue%20Dress%20(1995)|0|0|0|0|0|0|1|0|0|0|1|0|0|1|0|0|1|0|0 +771|Johnny Mnemonic (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Johnny%20Mnemonic%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +772|Kids (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Kids%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +773|Mute Witness (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Mute%20Witness%20(1994)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +774|Prophecy, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Prophecy,%20The%20(1995)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +775|Something to Talk About (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Something%20to%20Talk%20About%20(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|1|0|0|0|0 +776|Three Wishes (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Three%20Wishes%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +777|Castle Freak (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Castle%20Freak%20(1995)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +778|Don Juan DeMarco (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Don%20Juan%20DeMarco%20and%20the%20Centerfold%20(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|1|0|0|0|0 +779|Drop Zone (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Drop%20Zone%20(1994)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +780|Dumb & Dumber (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Dumb%20&%20Dumber%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +781|French Kiss (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?French%20Kiss%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +782|Little Odessa (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Little%20Odessa%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +783|Milk Money (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Milk%20Money%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +784|Beyond Bedlam (1993)|01-Jan-1993||http://us.imdb.com/Title?Beyond+Bedlam+(1993)|0|0|0|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0 +785|Only You (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Only%20You%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +786|Perez Family, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Perez%20Family,%20The%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +787|Roommates (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Roommates%20(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +788|Relative Fear (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Relative%20Fear%20(1994)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0 +789|Swimming with Sharks (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Swimming%20with%20Sharks%20(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +790|Tommy Boy (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Tommy%20Boy%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +791|Baby-Sitters Club, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Baby-Sitters%20Club,%20The%20(1995)|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +792|Bullets Over Broadway (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Bullets%20Over%20Broadway%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +793|Crooklyn (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Crooklyn%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +794|It Could Happen to You (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?It%20Could%20Happen%20to%20You%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +795|Richie Rich (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Richie%20Rich%20(1994)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +796|Speechless (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Speechless%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +797|Timecop (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Timecop%20(1994)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +798|Bad Company (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Bad%20Company%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +799|Boys Life (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Boys%20Life%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +800|In the Mouth of Madness (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?In%20the%20Mouth%20of%20Madness%20(1995)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0 +801|Air Up There, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Air%20Up%20There,%20The%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +802|Hard Target (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Hard%20Target%20(1993)|0|1|1|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0 +803|Heaven & Earth (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Heaven%20&%20Earth%20(1993)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +804|Jimmy Hollywood (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Jimmy%20Hollywood%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +805|Manhattan Murder Mystery (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Manhattan%20Murder%20Mystery%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0|0|0|0 +806|Menace II Society (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Menace%20II%20Society%20(1993)|0|1|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +807|Poetic Justice (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Poetic%20Justice%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +808|Program, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Program,%20The%20(1993)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +809|Rising Sun (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Rising%20Sun%20(1993)|0|1|0|0|0|0|0|0|1|0|0|0|0|1|0|0|0|0|0 +810|Shadow, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Shadow,%20The%20(1994)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +811|Thirty-Two Short Films About Glenn Gould (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Thirty-Two%20Short%20Films%20About%20Glenn%20Gould%20(1993)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +812|Andre (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Andre%20(1994)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +813|Celluloid Closet, The (1995)|15-Mar-1996||http://us.imdb.com/M/title-exact?Celluloid%20Closet,%20The%20(1995)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +814|Great Day in Harlem, A (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Great%20Day%20in%20Harlem,%20A%20(1994)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +815|One Fine Day (1996)|30-Nov-1996||http://us.imdb.com/M/title-exact?One%20Fine%20Day%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +816|Candyman: Farewell to the Flesh (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Candyman:%20Farewell%20to%20the%20Flesh%20(1995)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +817|Frisk (1995)|29-Mar-1996||http://us.imdb.com/M/title-exact?Frisk%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +818|Girl 6 (1996)|22-Mar-1996||http://us.imdb.com/M/title-exact?Girl%206%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +819|Eddie (1996)|31-May-1996||http://us.imdb.com/M/title-exact?Eddie%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +820|Space Jam (1996)|15-Nov-1996||http://us.imdb.com/M/title-exact?Space%20Jam%20(1996)|0|0|1|1|1|1|0|0|0|1|0|0|0|0|0|0|0|0|0 +821|Mrs. Winterbourne (1996)|19-Apr-1996||http://us.imdb.com/M/title-exact?Mrs.%20Winterbourne%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +822|Faces (1968)|01-Jan-1968||http://us.imdb.com/M/title-exact?Faces%20(1968)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +823|Mulholland Falls (1996)|26-Apr-1996||http://us.imdb.com/M/title-exact?Mulholland%20Falls%20(1996)|0|0|0|0|0|0|1|0|0|0|1|0|0|0|0|0|1|0|0 +824|Great White Hype, The (1996)|03-May-1996||http://us.imdb.com/M/title-exact?Great%20White%20Hype,%20The%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +825|Arrival, The (1996)|31-May-1996||http://us.imdb.com/M/title-exact?Arrival,%20The%20(1996)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +826|Phantom, The (1996)|07-Jun-1996||http://us.imdb.com/M/title-exact?Phantom,%20The%20(1996)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +827|Daylight (1996)|06-Dec-1996||http://us.imdb.com/M/title-exact?Daylight%20(1996)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +828|Alaska (1996)|21-Aug-1996||http://us.imdb.com/M/title-exact?Alaska%20(1996)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +829|Fled (1996)|19-Jul-1996||http://us.imdb.com/M/title-exact?Fled%20(1996)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +830|Power 98 (1995)|17-May-1996||http://us.imdb.com/M/title-exact?Power%2098%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +831|Escape from L.A. (1996)|09-Aug-1996||http://us.imdb.com/M/title-exact?Escape%20from%20L.A.%20(1996)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +832|Bogus (1996)|06-Sep-1996||http://us.imdb.com/M/title-exact?Bogus%20(1996)|0|0|0|0|1|0|0|0|1|1|0|0|0|0|0|0|0|0|0 +833|Bulletproof (1996)|06-Sep-1996||http://us.imdb.com/M/title-exact?Bulletproof%20(1996)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +834|Halloween: The Curse of Michael Myers (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Halloween:%20The%20Curse%20of%20Michael%20Myers%20(1995)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0 +835|Gay Divorcee, The (1934)|01-Jan-1934||http://us.imdb.com/M/title-exact?Gay%20Divorcee%2C%20The%20%281934%29|0|0|0|0|0|1|0|0|0|0|0|0|1|0|1|0|0|0|0 +836|Ninotchka (1939)|01-Jan-1939||http://us.imdb.com/M/title-exact?Ninotchka%20(1939)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +837|Meet John Doe (1941)|01-Jan-1941||http://us.imdb.com/M/title-exact?Meet%20John%20Doe%20(1941)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +838|In the Line of Duty 2 (1987)|30-Aug-1996||http://us.imdb.com/M/title-exact?In%20the%20Line%20of%20Duty%202%20(1987)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +839|Loch Ness (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Loch%20Ness%20(1995)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0 +840|Last Man Standing (1996)|20-Sep-1996||http://us.imdb.com/M/title-exact?Last%20Man%20Standing%20(1996/I)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1 +841|Glimmer Man, The (1996)|04-Oct-1996||http://us.imdb.com/M/title-exact?Glimmer%20Man,%20The%20(1996)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +842|Pollyanna (1960)|01-Jan-1960||http://us.imdb.com/M/title-exact?Pollyanna%20(1960)|0|0|0|0|1|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +843|Shaggy Dog, The (1959)|01-Jan-1959||http://us.imdb.com/M/title-exact?Shaggy%20Dog,%20The%20(1959)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +844|Freeway (1996)|23-Aug-1996||http://us.imdb.com/M/title-exact?Freeway%20(1996)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +845|That Thing You Do! (1996)|28-Sep-1996||http://us.imdb.com/M/title-exact?That%20Thing%20You%20Do!%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +846|To Gillian on Her 37th Birthday (1996)|18-Oct-1996||http://us.imdb.com/M/title-exact?To%20Gillian%20on%20Her%2037th%20Birthday%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +847|Looking for Richard (1996)|11-Oct-1996||http://us.imdb.com/M/title-exact?Looking%20for%20Richard%20(1996)|0|0|0|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0 +848|Murder, My Sweet (1944)|01-Jan-1944||http://us.imdb.com/M/title-exact?Murder,%20My%20Sweet%20(1944)|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0 +849|Days of Thunder (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Days%20of%20Thunder%20(1990)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +850|Perfect Candidate, A (1996)|27-Sep-1996||http://us.imdb.com/M/title-exact?Perfect%20Candidate,%20A%20(1996)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +851|Two or Three Things I Know About Her (1966)|01-Jan-1966||http://us.imdb.com/M/title-exact?Deux%20ou%20trois%20choses%20que%20je%20sais%20d'elle%20(1966)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +852|Bloody Child, The (1996)|26-Oct-1996||http://us.imdb.com/M/title-exact?Bloody%20Child%2C%20The%20%281996%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +853|Braindead (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Braindead%20(1992)|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0 +854|Bad Taste (1987)|01-Jan-1987||http://us.imdb.com/M/title-exact?Bad%20Taste%20(1987)|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0 +855|Diva (1981)|01-Jan-1981||http://us.imdb.com/M/title-exact?Diva%20(1981)|0|1|0|0|0|0|0|0|1|0|0|0|0|1|1|0|1|0|0 +856|Night on Earth (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Night%20on%20Earth%20(1991)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +857|Paris Was a Woman (1995)|08-Nov-1996||http://us.imdb.com/M/title-exact?Paris%20Was%20a%20Woman%20(1995)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +858|Amityville: Dollhouse (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Amityville:%20Dollhouse%20(1996)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +859|April Fool's Day (1986)|01-Jan-1986||http://us.imdb.com/M/title-exact?April%20Fool's%20Day%20(1986)|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0 +860|Believers, The (1987)|01-Jan-1987||http://us.imdb.com/M/title-exact?Believers,%20The%20(1987)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0 +861|Nosferatu a Venezia (1986)|01-Jan-1986||http://us.imdb.com/M/title-exact?Nosferatu%20a%20Venezia%20(1986)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +862|Jingle All the Way (1996)|22-Nov-1996||http://us.imdb.com/M/title-exact?Jingle%20All%20the%20Way%20(1996)|0|0|1|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +863|Garden of Finzi-Contini, The (Giardino dei Finzi-Contini, Il) (1970)|08-Nov-1996||http://us.imdb.com/M/title-exact?Giardino%20dei%20Finzi-Contini,%20Il%20(1970)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +864|My Fellow Americans (1996)|20-Dec-1996||http://us.imdb.com/M/title-exact?My%20Fellow%20Americans%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +865|Ice Storm, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Ice+Storm%2C+The+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +866|Michael (1996)|25-Dec-1996||http://us.imdb.com/M/title-exact?Michael%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +867|Whole Wide World, The (1996)|25-Dec-1996||http://us.imdb.com/M/title-exact?Whole%20Wide%20World,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +868|Hearts and Minds (1996)|10-Jan-1997||http://us.imdb.com/M/title-exact?Hearts%20and%20Minds%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +869|Fools Rush In (1997)|14-Feb-1997||http://us.imdb.com/M/title-exact?Fools%20Rush%20In%20(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +870|Touch (1997)|14-Feb-1997||http://us.imdb.com/M/title-exact?Touch%20(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +871|Vegas Vacation (1997)|14-Feb-1997||http://us.imdb.com/M/title-exact?Vegas%20Vacation%20(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +872|Love Jones (1997)|14-Mar-1997||http://us.imdb.com/M/title-exact?Love%20Jones%20(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +873|Picture Perfect (1997)|01-Aug-1997||http://us.imdb.com/M/title-exact?Picture+Perfect+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +874|Career Girls (1997)|08-Aug-1997||http://us.imdb.com/M/title-exact?Career+Girls+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +875|She's So Lovely (1997)|22-Aug-1997||http://us.imdb.com/M/title-exact?She%27s+So+Lovely+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +876|Money Talks (1997)|22-Aug-1997||http://us.imdb.com/M/title-exact?Money+Talks+(1997)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +877|Excess Baggage (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Excess+Baggage+(1997)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +878|That Darn Cat! (1997)|14-Feb-1997||http://us.imdb.com/M/title-exact?That%20Darn%20Cat%20(1997)|0|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0 +879|Peacemaker, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Peacemaker%2C+The+(1997)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0 +880|Soul Food (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Soul+Food+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +881|Money Talks (1997)|22-Aug-1997||http://us.imdb.com/M/title-exact?Money+Talks+(1997)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +882|Washington Square (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Washington+Square+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +883|Telling Lies in America (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Telling+Lies+in+America+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +884|Year of the Horse (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Year+of+the+Horse+(1997)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +885|Phantoms (1998)|01-Jan-1998||http://us.imdb.com/M/title-exact?Phantoms+(1998)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +886|Life Less Ordinary, A (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Life+Less+Ordinary,+A+(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0 +887|Eve's Bayou (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Eve's+Bayou+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +888|One Night Stand (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?One+Night+Stand+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +889|Tango Lesson, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Tango+Lesson,+The+(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +890|Mortal Kombat: Annihilation (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Mortal+Kombat%3A+Annihilation+(1997)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +891|Bent (1997)|18-Dec-1997||http://us.imdb.com/M/title-exact?imdb-title-118698|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +892|Flubber (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-119137|0|0|0|0|1|1|0|0|0|1|0|0|0|0|0|0|0|0|0 +893|For Richer or Poorer (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-119142|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +894|Home Alone 3 (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-119303|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +895|Scream 2 (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-120082|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0 +896|Sweet Hereafter, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Sweet+Hereafter%2C+The+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +897|Time Tracers (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?imdb-title-128755|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +898|Postman, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-119925|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +899|Winter Guest, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-120521|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +900|Kundun (1997)|25-Dec-1997||http://us.imdb.com/M/title-exact?imdb-title-119485|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +901|Mr. Magoo (1997)|25-Dec-1997||http://us.imdb.com/M/title-exact?imdb-title-119718|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +902|Big Lebowski, The (1998)|26-Dec-1997||http://us.imdb.com/M/title-exact?imdb-title-118715|0|0|0|0|0|1|1|0|0|0|0|0|0|1|0|0|1|0|0 +903|Afterglow (1997)|26-Dec-1997||http://us.imdb.com/M/title-exact?imdb-title-118566|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +904|Ma vie en rose (My Life in Pink) (1997)|26-Dec-1997||http://us.imdb.com/M/title-exact?imdb-title-119590|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +905|Great Expectations (1998)|01-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-119223|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +906|Oscar & Lucinda (1997)|31-Dec-1997||http://us.imdb.com/M/title-exact?imdb-title-119843|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +907|Vermin (1998)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-120881|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +908|Half Baked (1998)|16-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-120693|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +909|Dangerous Beauty (1998)|23-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-118892|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +910|Nil By Mouth (1997)|06-Feb-1998||http://us.imdb.com/Title?Nil+By+Mouth+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +911|Twilight (1998)|30-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-119594|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +912|U.S. Marshalls (1998)|10-Mar-1998||http://us.imdb.com/Title?U.S.+Marshals+(1998)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +913|Love and Death on Long Island (1997)|10-Mar-1998||http://us.imdb.com/Title?Love+and+Death+on+Long+Island+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +914|Wild Things (1998)|14-Mar-1998||http://us.imdb.com/Title?Wild+Things+(1998)|0|0|0|0|0|0|1|0|1|0|0|0|0|1|0|0|1|0|0 +915|Primary Colors (1998)|20-Mar-1998||http://us.imdb.com/Title?Primary+Colors+(1998)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +916|Lost in Space (1998)|27-Mar-1998||http://us.imdb.com/Title?Lost+in+Space+(1998)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +917|Mercury Rising (1998)|27-Mar-1998||http://us.imdb.com/Title?Mercury+Rising+(1998)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +918|City of Angels (1998)|03-Apr-1998||http://us.imdb.com/Title?City+of+Angels+(1998)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +919|City of Lost Children, The (1995)|01-Jan-1995||http://us.imdb.com/Title?Cit%E9+des+enfants+perdus,+La+(1995)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +920|Two Bits (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Two%20Bits%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +921|Farewell My Concubine (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Ba%20Wang%20Bie%20Ji%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +922|Dead Man (1995)|10-May-1996||http://us.imdb.com/M/title-exact?Dead%20Man%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +923|Raise the Red Lantern (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Da%20Hong%20Deng%20Long%20Gao%20Gao%20Gua%20(1991)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +924|White Squall (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?White%20Squall%20(1996)|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +925|Unforgettable (1996)|23-Feb-1996||http://us.imdb.com/Title?Unforgettable+(1996)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +926|Down Periscope (1996)|01-Mar-1996||http://us.imdb.com/M/title-exact?Down%20Periscope%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +927|Flower of My Secret, The (Flor de mi secreto, La) (1995)|08-Mar-1996||http://us.imdb.com/M/title-exact?Flor%20de%20mi%20secreto,%20La%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +928|Craft, The (1996)|26-Apr-1996||http://us.imdb.com/M/title-exact?Craft,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0 +929|Harriet the Spy (1996)|03-Jul-1996||http://us.imdb.com/M/title-exact?Harriet%20the%20Spy%20(1996)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +930|Chain Reaction (1996)|31-Jul-1996||http://us.imdb.com/M/title-exact?Chain%20Reaction%20(1996)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +931|Island of Dr. Moreau, The (1996)|23-Aug-1996||http://us.imdb.com/M/title-exact?Island%20of%20Dr.%20Moreau,%20The%20(1996)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +932|First Kid (1996)|30-Aug-1996||http://us.imdb.com/M/title-exact?First%20Kid%20(1996)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +933|Funeral, The (1996)|25-Oct-1996||http://us.imdb.com/M/title-exact?Funeral,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +934|Preacher's Wife, The (1996)|13-Dec-1996||http://us.imdb.com/M/title-exact?Preacher's%20Wife,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +935|Paradise Road (1997)|18-Apr-1997||http://us.imdb.com/M/title-exact?Paradise%20Road%20%281997%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +936|Brassed Off (1996)|13-Jun-1997||http://us.imdb.com/M/title-exact?Brassed%20Off%20%281996%29|0|0|0|0|0|1|0|0|1|0|0|0|0|0|1|0|0|0|0 +937|Thousand Acres, A (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Thousand+Acres%2C+A+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +938|Smile Like Yours, A (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Smile+Like+Yours%2C+A+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +939|Murder in the First (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Murder%20in%20the%20First%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +940|Airheads (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Airheads%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +941|With Honors (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?With%20Honors%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +942|What's Love Got to Do with It (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?What's%20Love%20Got%20to%20Do%20with%20It%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +943|Killing Zoe (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Killing%20Zoe%20(1994)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +944|Renaissance Man (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Renaissance%20Man%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|1|0 +945|Charade (1963)|01-Jan-1963||http://us.imdb.com/M/title-exact?Charade%20(1963)|0|0|0|0|0|1|0|0|0|0|0|0|0|1|1|0|1|0|0 +946|Fox and the Hound, The (1981)|01-Jan-1981||http://us.imdb.com/M/title-exact?Fox%20and%20the%20Hound,%20The%20(1981)|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +947|Big Blue, The (Grand bleu, Le) (1988)|01-Jan-1988||http://us.imdb.com/M/title-exact?Grand%20bleu,%20Le%20(1988)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +948|Booty Call (1997)|28-Feb-1997||http://us.imdb.com/M/title-exact?Booty%20Call%20(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +949|How to Make an American Quilt (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?How%20to%20Make%20an%20American%20Quilt%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +950|Georgia (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Georgia%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +951|Indian in the Cupboard, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Indian%20in%20the%20Cupboard,%20The%20(1995)|0|0|1|0|1|0|0|0|0|1|0|0|0|0|0|0|0|0|0 +952|Blue in the Face (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Blue%20in%20the%20Face%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +953|Unstrung Heroes (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Unstrung%20Heroes%20(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +954|Unzipped (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Unzipped%20(1995)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +955|Before Sunrise (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Before%20Sunrise%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +956|Nobody's Fool (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Nobody's%20Fool%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +957|Pushing Hands (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Tui%20Shou%20(1992)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +958|To Live (Huozhe) (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Huozhe%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +959|Dazed and Confused (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Dazed%20and%20Confused%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +960|Naked (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Naked%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +961|Orlando (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Orlando%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +962|Ruby in Paradise (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Ruby%20in%20Paradise%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +963|Some Folks Call It a Sling Blade (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Some%20Folks%20Call%20It%20a%20Sling%20Blade%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +964|Month by the Lake, A (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Month%20by%20The%20Lake,%20A%20(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +965|Funny Face (1957)|01-Jan-1957||http://us.imdb.com/M/title-exact?Funny%20Face%20(1957)|0|0|0|0|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0 +966|Affair to Remember, An (1957)|01-Jan-1957||http://us.imdb.com/M/title-exact?Affair%20to%20Remember,%20An%20(1957)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +967|Little Lord Fauntleroy (1936)|01-Jan-1936||http://us.imdb.com/M/title-exact?Little%20Lord%20Fauntleroy%20(1936)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +968|Inspector General, The (1949)|01-Jan-1949||http://us.imdb.com/M/title-exact?Inspector%20General,%20The%20(1949)|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +969|Winnie the Pooh and the Blustery Day (1968)|01-Jan-1968||http://us.imdb.com/M/title-exact?Winnie%20the%20Pooh%20and%20the%20Blustery%20Day%20%281968%29|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +970|Hear My Song (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Hear%20My%20Song%20(1991)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +971|Mediterraneo (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Mediterraneo%20(1991)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0 +972|Passion Fish (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Passion%20Fish%20(1992)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +973|Grateful Dead (1995)|18-Oct-1996||http://us.imdb.com/M/title-exact?Grateful%20Dead%20(1995)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +974|Eye for an Eye (1996)|01-Jan-1996||http://us.imdb.com/Title?Eye+for+an+Eye+(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +975|Fear (1996)|12-Apr-1996||http://us.imdb.com/M/title-exact?Fear%20(1996)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +976|Solo (1996)|23-Aug-1996||http://us.imdb.com/M/title-exact?Solo%20(1996)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +977|Substitute, The (1996)|19-Apr-1996||http://us.imdb.com/M/title-exact?Substitute,%20The%20(1996)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +978|Heaven's Prisoners (1996)|10-May-1996||http://us.imdb.com/M/title-exact?Heaven's%20Prisoners%20(1996)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +979|Trigger Effect, The (1996)|30-Aug-1996||http://us.imdb.com/M/title-exact?Trigger%20Effect,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +980|Mother Night (1996)|01-Nov-1996||http://us.imdb.com/M/title-exact?Mother%20Night%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +981|Dangerous Ground (1997)|04-Sep-1996||http://us.imdb.com/M/title-exact?Dangerous%20Ground%20(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +982|Maximum Risk (1996)|13-Sep-1996||http://us.imdb.com/M/title-exact?Maximum%20Risk%20(1996)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +983|Rich Man's Wife, The (1996)|13-Sep-1996||http://us.imdb.com/M/title-exact?Rich%20Man's%20Wife,%20The%20(1996)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +984|Shadow Conspiracy (1997)|31-Jan-1997||http://us.imdb.com/M/title-exact?Shadow%20Conspiracy%20(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +985|Blood & Wine (1997)|15-Nov-1996||http://us.imdb.com/Title?Blood+%26+Wine+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +986|Turbulence (1997)|10-Jan-1997||http://us.imdb.com/M/title-exact?Turbulence%20(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +987|Underworld (1997)|09-May-1997||http://us.imdb.com/M/title-exact?Underworld%20(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +988|Beautician and the Beast, The (1997)|07-Feb-1997||http://us.imdb.com/M/title-exact?Beautician%20and%20the%20Beast,%20The%20(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +989|Cats Don't Dance (1997)|26-Mar-1997||http://us.imdb.com/M/title-exact?Cats%20Don%27t%20Dance%20(1997)|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +990|Anna Karenina (1997)|04-Apr-1997||http://us.imdb.com/M/title-exact?Anna%20Karenina%20%281997%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +991|Keys to Tulsa (1997)|11-Apr-1997||http://us.imdb.com/Title?Keys+to+Tulsa+(1997)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +992|Head Above Water (1996)|20-Jun-1997||http://us.imdb.com/M/title-exact?Head+Above+Water+(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|1|0|0 +993|Hercules (1997)|27-Jun-1997||http://us.imdb.com/M/title-exact?Hercules+(1997)|0|0|1|1|1|1|0|0|0|0|0|0|1|0|0|0|0|0|0 +994|Last Time I Committed Suicide, The (1997)|20-Jun-1997||http://us.imdb.com/M/title-exact?Last+Time+I+Committed+Suicide%2C+The+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +995|Kiss Me, Guido (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Kiss+Me%2C+Guido+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +996|Big Green, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Big%20Green,%20The%20(1995)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +997|Stuart Saves His Family (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Stuart%20Saves%20His%20Family%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +998|Cabin Boy (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Cabin%20Boy%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +999|Clean Slate (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Clean%20Slate%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1000|Lightning Jack (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Lightning%20Jack%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1 +1001|Stupids, The (1996)|30-Aug-1996||http://us.imdb.com/M/title-exact?Stupids,%20The%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1002|Pest, The (1997)|07-Feb-1997||http://us.imdb.com/M/title-exact?Pest,%20The%20(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1003|That Darn Cat! (1997)|14-Feb-1997||http://us.imdb.com/M/title-exact?That%20Darn%20Cat%20(1997)|0|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0 +1004|Geronimo: An American Legend (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Geronimo:%20An%20American%20Legend%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1 +1005|Double vie de Véronique, La (Double Life of Veronique, The) (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Podwojne%20zycie%20Weroniki%20(1991)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1006|Until the End of the World (Bis ans Ende der Welt) (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Bis%20ans%20Ende%20der%20Welt%20(1991)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|1|0|0|0 +1007|Waiting for Guffman (1996)|31-Jan-1997||http://us.imdb.com/M/title-exact?Waiting%20for%20Guffman%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1008|I Shot Andy Warhol (1996)|01-May-1996||http://us.imdb.com/M/title-exact?I%20Shot%20Andy%20Warhol%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1009|Stealing Beauty (1996)|14-Jun-1996||http://us.imdb.com/M/title-exact?Stealing%20Beauty%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1010|Basquiat (1996)|16-Aug-1996||http://us.imdb.com/M/title-exact?Basquiat%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1011|2 Days in the Valley (1996)|27-Sep-1996||http://us.imdb.com/M/title-exact?2%20Days%20in%20the%20Valley%20(1996)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +1012|Private Parts (1997)|07-Mar-1997||http://us.imdb.com/M/title-exact?Private%20Parts%20(1997)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1013|Anaconda (1997)|11-Apr-1997||http://us.imdb.com/M/title-exact?Anaconda%20%281997%29|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1014|Romy and Michele's High School Reunion (1997)|25-Apr-1997||http://us.imdb.com/M/title-exact?Romy%20and%20Michele%27s%20High%20School%20Reunion%20%281997%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1015|Shiloh (1997)|23-May-1997||http://us.imdb.com/M/title-exact?Shiloh%20%281997%29|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1016|Con Air (1997)|06-Jun-1997||http://us.imdb.com/M/title-exact?Con%20Air%20%281997%29|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1017|Trees Lounge (1996)|11-Oct-1996||http://us.imdb.com/M/title-exact?Trees%20Lounge%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1018|Tie Me Up! Tie Me Down! (1990)|01-Jan-1990||http://us.imdb.com/Title?%A1%C1tame%21+(1990)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1019|Die xue shuang xiong (Killer, The) (1989)|01-Jan-1989||http://us.imdb.com/M/title-exact?Die%20xue%20shuang%20xiong%20(1989)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1020|Gaslight (1944)|01-Jan-1944||http://us.imdb.com/M/title-exact?Gaslight%20(1944)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +1021|8 1/2 (1963)|01-Jan-1963||http://us.imdb.com/M/title-exact?8%201/2%20(1963)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1022|Fast, Cheap & Out of Control (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Fast,+Cheap+&+Out+of+Control+(1997)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1023|Fathers' Day (1997)|09-May-1997||http://us.imdb.com/M/title-exact?Fathers%27%20Day%20%281997%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1024|Mrs. Dalloway (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Mrs%2E+Dalloway+(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1025|Fire Down Below (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Fire+Down+Below+(1997)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +1026|Lay of the Land, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Lay+of+the+Land%2C+The+(1997)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1027|Shooter, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Shooter,%20The%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1028|Grumpier Old Men (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Grumpier%20Old%20Men%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1029|Jury Duty (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Jury%20Duty%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1030|Beverly Hillbillies, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Beverly%20Hillbillies,%20The%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1031|Lassie (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Lassie%20(1994)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1032|Little Big League (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Little%20Big%20League%20(1994)|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1033|Homeward Bound II: Lost in San Francisco (1996)|08-Mar-1996||http://us.imdb.com/M/title-exact?Homeward%20Bound%20II:%20Lost%20in%20San%20Francisco%20(1996)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1034|Quest, The (1996)|26-Apr-1996||http://us.imdb.com/M/title-exact?Quest,%20The%20(1996/I)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1035|Cool Runnings (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Cool%20Runnings%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1036|Drop Dead Fred (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Drop%20Dead%20Fred%20(1991)|0|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0 +1037|Grease 2 (1982)|01-Jan-1982||http://us.imdb.com/M/title-exact?Grease%202%20(1982)|0|0|0|0|0|1|0|0|0|0|0|0|1|0|1|0|0|0|0 +1038|Switchback (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Switchback+(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1039|Hamlet (1996)|24-Jan-1997||http://us.imdb.com/M/title-exact?Hamlet%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1040|Two if by Sea (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Two%20if%20by%20Sea%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1041|Forget Paris (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Forget%20Paris%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1042|Just Cause (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Just%20Cause%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +1043|Rent-a-Kid (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Rent-a-Kid%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1044|Paper, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Paper,%20The%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1045|Fearless (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Fearless%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1046|Malice (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Malice%20(1993)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1047|Multiplicity (1996)|12-Jul-1996||http://us.imdb.com/M/title-exact?Multiplicity%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1048|She's the One (1996)|23-Aug-1996||http://us.imdb.com/M/title-exact?She's%20the%20One%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1049|House Arrest (1996)|02-Aug-1996||http://us.imdb.com/Title?House+Arrest+(1996/I)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1050|Ghost and Mrs. Muir, The (1947)|01-Jan-1947||http://us.imdb.com/M/title-exact?Ghost%20and%20Mrs.%20Muir,%20The%20(1947)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1051|Associate, The (1996)|19-Oct-1996||http://us.imdb.com/M/title-exact?Associate,%20The%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1052|Dracula: Dead and Loving It (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Dracula:%20Dead%20and%20Loving%20It%20(1995)|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0 +1053|Now and Then (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Now%20and%20Then%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1054|Mr. Wrong (1996)|16-Feb-1996||http://us.imdb.com/M/title-exact?Mr.%20Wrong%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1055|Simple Twist of Fate, A (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Simple%20Twist%20of%20Fate,%20A%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1056|Cronos (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Cronos%20(1992)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +1057|Pallbearer, The (1996)|19-Apr-1996||http://us.imdb.com/M/title-exact?Pallbearer,%20The%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1058|War, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?War,%20The%20(1994)|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1059|Don't Be a Menace to South Central While Drinking Your Juice in the Hood (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Don't%20Be%20a%20Menace%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1060|Adventures of Pinocchio, The (1996)|26-Jul-1996||http://us.imdb.com/M/title-exact?Adventures%20of%20Pinocchio,%20The%20(1996)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1061|Evening Star, The (1996)|25-Dec-1996||http://us.imdb.com/M/title-exact?Evening%20Star,%20The%20(1996)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1062|Four Days in September (1997)|23-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-119815|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1063|Little Princess, A (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Little%20Princess,%20A%20(1995)|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1064|Crossfire (1947)|01-Jan-1947||http://us.imdb.com/M/title-exact?Crossfire%20(1947)|0|0|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0|0|0 +1065|Koyaanisqatsi (1983)|01-Jan-1983||http://us.imdb.com/M/title-exact?Koyaanisqatsi%20(1983)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0 +1066|Balto (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Balto%20(1995)|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1067|Bottle Rocket (1996)|21-Feb-1996||http://us.imdb.com/M/title-exact?Bottle%20Rocket%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1068|Star Maker, The (Uomo delle stelle, L') (1995)|01-Mar-1996||http://us.imdb.com/M/title-exact?Uomo%20delle%20stelle,%20L'%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1069|Amateur (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Amateur%20(1994)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|1|0|0 +1070|Living in Oblivion (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Living%20in%20Oblivion%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1071|Party Girl (1995)|01-Jan-1995||http://us.imdb.com/Title?Party+Girl+(1995/I)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1072|Pyromaniac's Love Story, A (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Pyromaniac's%20Love%20Story,%20A%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1073|Shallow Grave (1994)|01-Jan-1994||http://us.imdb.com/Title?Shallow+Grave+(1994)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1074|Reality Bites (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Reality%20Bites%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1075|Man of No Importance, A (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Man%20of%20No%20Importance,%20A%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1076|Pagemaster, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Pagemaster,%20The%20(1994)|0|1|1|1|1|0|0|0|0|1|0|0|0|0|0|0|0|0|0 +1077|Love and a .45 (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Love%20and%20a%20.45%20(1994)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1078|Oliver & Company (1988)|29-Mar-1988||http://us.imdb.com/M/title-exact?Oliver%20&%20Company%20(1988)|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1079|Joe's Apartment (1996)|26-Jul-1996||http://us.imdb.com/M/title-exact?Joe's%20Apartment%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0 +1080|Celestial Clockwork (1994)|12-Jul-1996||http://us.imdb.com/Title?Cort%E1zar+(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1081|Curdled (1996)|27-Sep-1996||http://us.imdb.com/M/title-exact?Curdled%20(1996)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +1082|Female Perversions (1996)|25-Apr-1997||http://us.imdb.com/M/title-exact?Female%20Perversions%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1083|Albino Alligator (1996)|17-Jan-1997||http://us.imdb.com/M/title-exact?Albino%20Alligator%20(1996)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0 +1084|Anne Frank Remembered (1995)|23-Feb-1996||http://us.imdb.com/M/title-exact?Anne%20Frank%20Remembered%20(1995)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1085|Carried Away (1996)|29-Mar-1996||http://us.imdb.com/M/title-exact?Carried%20Away%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1086|It's My Party (1995)|22-Mar-1996||http://us.imdb.com/M/title-exact?It's%20My%20Party%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1087|Bloodsport 2 (1995)|01-Mar-1996||http://us.imdb.com/M/title-exact?Bloodsport%202%20%281995%29|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1088|Double Team (1997)|04-Apr-1997||http://us.imdb.com/M/title-exact?Double%20Team%20%281997%29|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1089|Speed 2: Cruise Control (1997)|13-Jun-1997||http://us.imdb.com/M/title-exact?Speed%202%3A%20Cruise%20Control%20%281997%29|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0 +1090|Sliver (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Sliver%20(1993)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1091|Pete's Dragon (1977)|01-Jan-1977||http://us.imdb.com/M/title-exact?Pete's%20Dragon%20(1977)|0|0|1|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +1092|Dear God (1996)|01-Nov-1996||http://us.imdb.com/M/title-exact?Dear%20God%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1093|Live Nude Girls (1995)|01-Mar-1996||http://us.imdb.com/M/title-exact?Live%20Nude%20Girls%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1094|Thin Line Between Love and Hate, A (1996)|03-Apr-1996||http://us.imdb.com/M/title-exact?Thin%20Line%20Between%20Love%20and%20Hate,%20A%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1095|High School High (1996)|25-Oct-1996||http://us.imdb.com/M/title-exact?High%20School%20High%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1096|Commandments (1997)|02-May-1997||http://us.imdb.com/Title?Commandments+(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1097|Hate (Haine, La) (1995)|09-Feb-1996||http://us.imdb.com/M/title-exact?Haine,%20La%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1098|Flirting With Disaster (1996)|22-Mar-1996||http://us.imdb.com/M/title-exact?Flirting%20With%20Disaster%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1099|Red Firecracker, Green Firecracker (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Pao%20Da%20Shuang%20Deng%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1100|What Happened Was... (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?What%20Happened%20Was...%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|1|0|0|0|0 +1101|Six Degrees of Separation (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Six%20Degrees%20of%20Separation%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0|0|0|0 +1102|Two Much (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Two%20Much%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1103|Trust (1990)|01-Jan-1990||http://us.imdb.com/Title?Trust+(1990)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1104|C'est arrivé près de chez vous (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?C%27est%20arriv%E9%20pr%E8s%20de%20chez%20vous%20%281992%29|0|0|0|0|0|1|1|0|1|0|0|0|0|0|0|0|0|0|0 +1105|Firestorm (1998)|09-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-120670|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1106|Newton Boys, The (1998)|14-Mar-1998||http://us.imdb.com/Title?Newton+Boys,+The+(1998)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +1107|Beyond Rangoon (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Beyond%20Rangoon%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1108|Feast of July (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Feast%20of%20July%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1109|Death and the Maiden (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Death%20and%20the%20Maiden%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +1110|Tank Girl (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Tank%20Girl%20(1995)|0|1|0|0|0|1|0|0|0|0|0|0|1|0|0|1|0|0|0 +1111|Double Happiness (1994)|01-Mar-1996||http://us.imdb.com/M/title-exact?Double%20Happiness%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1112|Cobb (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Cobb%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1113|Mrs. Parker and the Vicious Circle (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Mrs.%20Parker%20and%20the%20Vicious%20Circle%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1114|Faithful (1996)|03-Apr-1996||http://us.imdb.com/M/title-exact?Faithful%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1115|Twelfth Night (1996)|25-Oct-1996||http://us.imdb.com/M/title-exact?Twelfth%20Night:%20Or%20What%20You%20Will%20(1996)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|1|0|0|0|0 +1116|Mark of Zorro, The (1940)|01-Jan-1940||http://us.imdb.com/M/title-exact?Mark%20of%20Zorro,%20The%20(1940)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1117|Surviving Picasso (1996)|20-Sep-1996||http://us.imdb.com/M/title-exact?Surviving%20Picasso%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1118|Up in Smoke (1978)|01-Jan-1978||http://us.imdb.com/M/title-exact?Up%20in%20Smoke%20(1978)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1119|Some Kind of Wonderful (1987)|01-Jan-1987||http://us.imdb.com/M/title-exact?Some%20Kind%20of%20Wonderful%20(1987)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1120|I'm Not Rappaport (1996)|13-Nov-1996||http://us.imdb.com/M/title-exact?I'm%20Not%20Rappaport%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1121|Umbrellas of Cherbourg, The (Parapluies de Cherbourg, Les) (1964)|05-Apr-1996||http://us.imdb.com/M/title-exact?Parapluies%20de%20Cherbourg,%20Les%20(1964)|0|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0 +1122|They Made Me a Criminal (1939)|01-Jan-1939||http://us.imdb.com/M/title-exact?They%20Made%20Me%20a%20Criminal%20(1939)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +1123|Last Time I Saw Paris, The (1954)|01-Jan-1954||http://us.imdb.com/M/title-exact?Last%20Time%20I%20Saw%20Paris,%20The%20(1954)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1124|Farewell to Arms, A (1932)|01-Jan-1932||http://us.imdb.com/M/title-exact?Farewell%20to%20Arms,%20A%20(1932)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0 +1125|Innocents, The (1961)|01-Jan-1961||http://us.imdb.com/M/title-exact?Innocents,%20The%20(1961)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1126|Old Man and the Sea, The (1958)|01-Jan-1958||http://us.imdb.com/M/title-exact?Old%20Man%20and%20the%20Sea,%20The%20(1958)|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1127|Truman Show, The (1998)|01-Jan-1998||http://us.imdb.com/Title?Truman+Show,+The+(1998)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1128|Heidi Fleiss: Hollywood Madam (1995) |09-Feb-1996||http://us.imdb.com/M/title-exact?Heidi%20Fleiss:%20Hollywood%20Madam%20(1995)%20(TV)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1129|Chungking Express (1994)|16-Feb-1996||http://us.imdb.com/M/title-exact?Chongqing%20Senlin%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|1|1|0|0|0|0 +1130|Jupiter's Wife (1994)|09-Feb-1996||http://us.imdb.com/M/title-exact?Jupiter's%20Wife%20(1994)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1131|Safe (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Safe%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1132|Feeling Minnesota (1996)|13-Sep-1996||http://us.imdb.com/M/title-exact?Feeling%20Minnesota%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1133|Escape to Witch Mountain (1975)|01-Jan-1975||http://us.imdb.com/M/title-exact?Escape%20to%20Witch%20Mountain%20(1975)|0|0|1|0|1|0|0|0|0|1|0|0|0|0|0|0|0|0|0 +1134|Get on the Bus (1996)|16-Oct-1996||http://us.imdb.com/M/title-exact?Get%20on%20the%20Bus%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1135|Doors, The (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Doors,%20The%20(1991)|0|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0 +1136|Ghosts of Mississippi (1996)|20-Dec-1996||http://us.imdb.com/M/title-exact?Ghosts%20of%20Mississippi%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1137|Beautiful Thing (1996)|09-Oct-1996||http://us.imdb.com/M/title-exact?Beautiful%20Thing%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1138|Best Men (1997)|01-Sep-1997||http://us.imdb.com/M/title-exact/Independence%20(1997)|0|1|0|0|0|1|1|0|1|0|0|0|0|0|0|0|0|0|0 +1139|Hackers (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Hackers%20(1995)|0|1|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0 +1140|Road to Wellville, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Road%20to%20Wellville,%20The%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1141|War Room, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?War%20Room,%20The%20(1993)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1142|When We Were Kings (1996)|14-Feb-1997||http://us.imdb.com/M/title-exact?When%20We%20Were%20Kings%20(1996)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1143|Hard Eight (1996)|28-Feb-1997||http://us.imdb.com/Title?Hard+Eight+(1996)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0 +1144|Quiet Room, The (1996)|02-May-1997||http://us.imdb.com/M/title-exact?Quiet%20Room%2C%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1145|Blue Chips (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Blue%20Chips%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1146|Calendar Girl (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Calendar%20Girl%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1147|My Family (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?My%20Family%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1148|Tom & Viv (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Tom%20&%20Viv%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1149|Walkabout (1971)|20-Dec-1971||http://us.imdb.com/M/title-exact?Walkabout%20(1971)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1150|Last Dance (1996)|03-May-1996||http://us.imdb.com/M/title-exact?Last%20Dance%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1151|Original Gangstas (1996)|10-May-1996||http://us.imdb.com/M/title-exact?Original%20Gangstas%20(1996)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +1152|In Love and War (1996)|24-Jan-1997||http://us.imdb.com/M/title-exact?In%20Love%20and%20War%20(1996)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0 +1153|Backbeat (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Backbeat%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0 +1154|Alphaville (1965)|01-Jan-1965||http://us.imdb.com/M/title-exact?Alphaville%20(1965)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +1155|Rendezvous in Paris (Rendez-vous de Paris, Les) (1995)|28-Jun-1996||http://us.imdb.com/M/title-exact?Rendez-vous%20de%20Paris,%20Les%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1156|Cyclo (1995)|02-Aug-1996||http://us.imdb.com/M/title-exact?Cyclo%20(1995)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +1157|Relic, The (1997)|17-Jan-1997||http://us.imdb.com/M/title-exact?Relic,%20The%20(1997)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +1158|Fille seule, La (A Single Girl) (1995)|30-Oct-1996||http://us.imdb.com/M/title-exact?Fille%20seule,%20La%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1159|Stalker (1979)|01-Jan-1979||http://us.imdb.com/M/title-exact?Stalker%20(1979)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0|0 +1160|Love! Valour! Compassion! (1997)|16-May-1997||http://us.imdb.com/Title?Love%21+Valour%21+Compassion%21+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1161|Palookaville (1996)|25-Oct-1996||http://us.imdb.com/M/title-exact?Palookaville%20(1996)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1162|Phat Beach (1996)|02-Aug-1996||http://us.imdb.com/M/title-exact?Phat%20Beach%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1163|Portrait of a Lady, The (1996)|27-Dec-1996||http://us.imdb.com/M/title-exact?Portrait%20of%20a%20Lady%2C%20The%20%281996%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1164|Zeus and Roxanne (1997)|10-Jan-1997||http://us.imdb.com/M/title-exact?Zeus%20and%20Roxanne%20(1997)|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1165|Big Bully (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Big%20Bully%20(1996)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1166|Love & Human Remains (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Love%20&%20Human%20Remains%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1167|Sum of Us, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Sum%20of%20Us,%20The%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1168|Little Buddha (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Little%20Buddha%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1169|Fresh (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Fresh%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1170|Spanking the Monkey (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Spanking%20the%20Monkey%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1171|Wild Reeds (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Roseaux%20sauvages%2C%20Les%20%281994%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1172|Women, The (1939)|01-Jan-1939||http://us.imdb.com/M/title-exact?Women,%20The%20(1939)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1173|Bliss (1997)|06-Jun-1997||http://us.imdb.com/M/title-exact?Bliss%20(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1174|Caught (1996)|27-Sep-1996||http://us.imdb.com/M/title-exact?Caught%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +1175|Hugo Pool (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Hugo+Pool+(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1176|Welcome To Sarajevo (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Welcome+To+Sarajevo+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +1177|Dunston Checks In (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Dunston%20Checks%20In%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1178|Major Payne (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Major%20Payne%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1179|Man of the House (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Man%20of%20the%20House%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1180|I Love Trouble (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?I%20Love%20Trouble%20(1994)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1181|Low Down Dirty Shame, A (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Low%20Down%20Dirty%20Shame,%20A%20(1994)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1182|Cops and Robbersons (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Cops%20and%20Robbersons%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1183|Cowboy Way, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Cowboy%20Way,%20The%20(1994)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1184|Endless Summer 2, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Endless%20Summer%202,%20The%20(1994)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1185|In the Army Now (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?In%20the%20Army%20Now%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0 +1186|Inkwell, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Inkwell,%20The%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1187|Switchblade Sisters (1975)|17-May-1975||http://us.imdb.com/M/title-exact?Switchblade%20Sisters%20(1975)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +1188|Young Guns II (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Young%20Guns%20II%20(1990)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1 +1189|Prefontaine (1997)|24-Jan-1997||http://us.imdb.com/M/title-exact?Prefontaine%20(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1190|That Old Feeling (1997)|04-Apr-1997||http://us.imdb.com/M/title-exact?That%20Old%20Feeling%20(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1191|Letter From Death Row, A (1998)|01-Feb-1998||http://us.imdb.com/M/title-exact?Letter+From+Death+Row%2C+A+(1998)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +1192|Boys of St. Vincent, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Boys%20of%20St.%20Vincent,%20The%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1193|Before the Rain (Pred dozhdot) (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Pred%20dozhdot%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1194|Once Were Warriors (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Once%20Were%20Warriors%20(1994)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +1195|Strawberry and Chocolate (Fresa y chocolate) (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Fresa%20y%20chocolate%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1196|Savage Nights (Nuits fauves, Les) (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Nuits%20fauves,%20Les%20(1992)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1197|Family Thing, A (1996)|23-Mar-1996||http://us.imdb.com/M/title-exact?Family%20Thing,%20A%20(1996)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1198|Purple Noon (1960)|28-Jun-1960||http://us.imdb.com/M/title-exact?Plein%20soleil%20(1960)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0 +1199|Cemetery Man (Dellamorte Dellamore) (1994)|12-Apr-1996||http://us.imdb.com/M/title-exact?Dellamorte%20Dellamore%20(1994)|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0 +1200|Kim (1950)|01-Jan-1950||http://us.imdb.com/M/title-exact?Kim%20(1950)|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1201|Marlene Dietrich: Shadow and Light (1996) |02-Apr-1996||http://us.imdb.com/M/title-exact?Marlene%20Dietrich:%20Shadow%20and%20Light%20(1996)%20(TV)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1202|Maybe, Maybe Not (Bewegte Mann, Der) (1994)|19-Jul-1996||http://us.imdb.com/M/title-exact?Bewegte%20Mann,%20Der%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1203|Top Hat (1935)|01-Jan-1935||http://us.imdb.com/M/title-exact?Top%20Hat%20(1935)|0|0|0|0|0|1|0|0|0|0|0|0|1|0|1|0|0|0|0 +1204|To Be or Not to Be (1942)|01-Jan-1942||http://us.imdb.com/M/title-exact?To%20Be%20or%20Not%20to%20Be%20(1942)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|1|0 +1205|Secret Agent, The (1996)|08-Nov-1996||http://us.imdb.com/M/title-exact?Secret%20Agent,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1206|Amos & Andrew (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Amos%20&%20Andrew%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1207|Jade (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Jade%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1208|Kiss of Death (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Kiss%20of%20Death%20(1995)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|1|0|0 +1209|Mixed Nuts (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Mixed%20Nuts%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1210|Virtuosity (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Virtuosity%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +1211|Blue Sky (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Blue%20Sky%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1212|Flesh and Bone (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Flesh%20and%20Bone%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|1|1|0|0|0|0 +1213|Guilty as Sin (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Guilty%20as%20Sin%20(1993)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|1|0|0 +1214|In the Realm of the Senses (Ai no corrida) (1976)|08-Mar-1976||http://us.imdb.com/M/title-exact?Ai%20no%20Corrida%20(1976)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1215|Barb Wire (1996)|03-May-1996||http://us.imdb.com/M/title-exact?Barb%20Wire%20(1996)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +1216|Kissed (1996)|18-Apr-1997||http://us.imdb.com/M/title-exact?Kissed%20%281996%29|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1217|Assassins (1995)|01-Jan-1995||http://us.imdb.com/Title?Assassins+(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1218|Friday (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Friday%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1219|Goofy Movie, A (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Goofy%20Movie,%20A%20(1995)|0|0|0|1|1|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1220|Higher Learning (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Higher%20Learning%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1221|When a Man Loves a Woman (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?When%20a%20Man%20Loves%20a%20Woman%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1222|Judgment Night (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Judgment%20Night%20(1993)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1223|King of the Hill (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?King%20of%20the%20Hill%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1224|Scout, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Scout,%20The%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1225|Angus (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Angus%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1226|Night Falls on Manhattan (1997)|16-May-1997||http://us.imdb.com/M/title-exact?Night%20Falls%20on%20Manhattan%20(1997)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +1227|Awfully Big Adventure, An (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Awfully%20Big%20Adventure,%20An%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1228|Under Siege 2: Dark Territory (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Under%20Siege%202:%20Dark%20Territory%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1229|Poison Ivy II (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Poison%20Ivy%20II%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +1230|Ready to Wear (Pret-A-Porter) (1994)|01-Jan-1994||http://us.imdb.com/Title?Pr%EAt-%E0-Porter+(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1231|Marked for Death (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Marked%20for%20Death%20(1990)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1232|Madonna: Truth or Dare (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Madonna:%20Truth%20or%20Dare%20(1991)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1233|Nénette et Boni (1996)|01-Jan-1996||http://us.imdb.com/Title?N%E9nette+et+Boni+(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1234|Chairman of the Board (1998)|01-Jan-1998||http://us.imdb.com/Title?Chairman+of+the+Board+(1998)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1235|Big Bang Theory, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?imdb-title-109266|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +1236|Other Voices, Other Rooms (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-119845|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1237|Twisted (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?imdb-title-117994|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1238|Full Speed (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?imdb-title-118230|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1239|Cutthroat Island (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Cutthroat%20Island%20(1995)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1240|Ghost in the Shell (Kokaku kidotai) (1995)|12-Apr-1996||http://us.imdb.com/M/title-exact?Kokaku%20Kidotai%20(1995)|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +1241|Van, The (1996)|27-Jun-1997||http://us.imdb.com/M/title-exact?Van%2C%20The%20(1996)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1242|Old Lady Who Walked in the Sea, The (Vieille qui marchait dans la mer, La) (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?Vieille%20qui%20marchait%20dans%20la%20mer,%20La%20(1991)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1243|Night Flier (1997)|06-Feb-1998||http://us.imdb.com/M/title-exact?Night+Flier+(1997)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +1244|Metro (1997)|17-Jan-1997||http://us.imdb.com/M/title-exact?Metro%20(1997)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1245|Gridlock'd (1997)|29-Jan-1997||http://us.imdb.com/M/title-exact?Gridlock'd%20(1997)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +1246|Bushwhacked (1995)|01-Jan-1995||http://us.imdb.com/Title?Bushwhacked+(1995/I)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1247|Bad Girls (1994)|01-Jan-1994||http://us.imdb.com/Title?Bad+Girls+(1994/I)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +1248|Blink (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Blink%20(1994)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1249|For Love or Money (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?For%20Love%20or%20Money%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1250|Best of the Best 3: No Turning Back (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Best%20of%20the%20Best%203:%20No%20Turning%20Back%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1251|A Chef in Love (1996)|25-Apr-1997||http://us.imdb.com/M/title-exact?Mille%20et%20une%20recettes%20du%20cuisinier%20amoureux%2C%20Les%20%281996%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1252|Contempt (Mépris, Le) (1963)|27-Jun-1997||http://us.imdb.com/M/title-exact?M%E9pris%2C+Le+(1963)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1253|Tie That Binds, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Tie%20That%20Binds,%20The%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1254|Gone Fishin' (1997)|30-May-1997||http://us.imdb.com/M/title-exact?Gone%20Fishin'%20(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1255|Broken English (1996)|02-May-1997||http://us.imdb.com/M/title-exact?Broken%20English%20%281996%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1256|Designated Mourner, The (1997)|23-May-1997||http://us.imdb.com/M/title-exact?Designated%20Mourner%2C%20The%20%281997%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1257|Designated Mourner, The (1997)|23-May-1997||http://us.imdb.com/M/title-exact?Designated%20Mourner%2C%20The%20%281997%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1258|Trial and Error (1997)|30-May-1997||http://us.imdb.com/M/title-exact?Trial%20and%20Error%20%281997%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1259|Pie in the Sky (1995)|09-Feb-1996||http://us.imdb.com/M/title-exact?Pie%20in%20the%20Sky%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1260|Total Eclipse (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Total%20Eclipse%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1261|Run of the Country, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Run%20of%20the%20Country,%20The%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1262|Walking and Talking (1996)|12-Jul-1996||http://us.imdb.com/M/title-exact?Walking%20and%20Talking%20(1996)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1263|Foxfire (1996)|23-Aug-1996||http://us.imdb.com/M/title-exact?Foxfire%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1264|Nothing to Lose (1994)|16-Aug-1996||http://us.imdb.com/M/title-exact?Nothing%20to%20Lose%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1265|Star Maps (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Star+Maps+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1266|Bread and Chocolate (Pane e cioccolata) (1973)|01-Jan-1973||http://us.imdb.com/M/title-exact?Pane%20e%20Cioccolata%20(1973)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1267|Clockers (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Clockers%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1268|Bitter Moon (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Lunes%20de%20fiel%20(1992)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1269|Love in the Afternoon (1957)|01-Jan-1957||http://us.imdb.com/M/title-exact?Love%20in%20the%20Afternoon%20(1957)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1270|Life with Mikey (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Life%20with%20Mikey%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1271|North (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?North%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1272|Talking About Sex (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Talking%20About%20Sex%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1273|Color of Night (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Color%20of%20Night%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +1274|Robocop 3 (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Robocop%203%20(1993)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +1275|Killer (Bulletproof Heart) (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Killer%20(1994)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1276|Sunset Park (1996)|26-Apr-1996||http://us.imdb.com/M/title-exact?Sunset%20Park%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1277|Set It Off (1996)|25-Sep-1996||http://us.imdb.com/M/title-exact?Set%20It%20Off%20(1996)|0|1|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +1278|Selena (1997)|21-Mar-1997||http://us.imdb.com/M/title-exact?Selena%20(1997)|0|0|0|0|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0 +1279|Wild America (1997)|04-Jul-1997||http://us.imdb.com/M/title-exact?Wild+America+(1997)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1280|Gang Related (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Gang+Related+(1997)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +1281|Manny & Lo (1996)|26-Jul-1996||http://us.imdb.com/M/title-exact?Manny%20&%20Lo%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1282|Grass Harp, The (1995)|11-Oct-1996||http://us.imdb.com/M/title-exact?Grass%20Harp,%20The%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1283|Out to Sea (1997)|04-Jul-1997||http://us.imdb.com/M/title-exact?Out+to+Sea+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1284|Before and After (1996)|23-Feb-1996||http://us.imdb.com/M/title-exact?Before%20and%20After%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0|0|0|0 +1285|Princess Caraboo (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Princess%20Caraboo%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1286|Shall We Dance? (1937)|01-Jan-1937||http://us.imdb.com/M/title-exact?Shall%20We%20Dance?%20(1937)|0|0|0|0|0|1|0|0|0|0|0|0|1|0|1|0|0|0|0 +1287|Ed (1996)|08-Mar-1996||http://us.imdb.com/M/title-exact?Ed%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1288|Denise Calls Up (1995)|29-Mar-1996||http://us.imdb.com/M/title-exact?Denise%20Calls%20Up%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1289|Jack and Sarah (1995)|22-Mar-1996||http://us.imdb.com/M/title-exact?Jack%20and%20Sarah%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1290|Country Life (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Country%20Life%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1291|Celtic Pride (1996)|19-Apr-1996||http://us.imdb.com/M/title-exact?Celtic%20Pride%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1292|Simple Wish, A (1997)|11-Jul-1997||http://us.imdb.com/M/title-exact?Simple+Wish%2C+A+(1997)|0|0|0|0|1|0|0|0|0|1|0|0|0|0|0|0|0|0|0 +1293|Star Kid (1997)|16-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-120478|0|0|1|0|1|0|0|0|0|1|0|0|0|0|0|1|0|0|0 +1294|Ayn Rand: A Sense of Life (1997)|13-Feb-1998||http://us.imdb.com/Title?Ayn+Rand%3A+A+Sense+of+Life+(1997)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1295|Kicked in the Head (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Kicked+in+the+Head+(1997)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1296|Indian Summer (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Indian+Summer+(1996)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1297|Love Affair (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Love%20Affair%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1298|Band Wagon, The (1953)|01-Jan-1953||http://us.imdb.com/M/title-exact?Band%20Wagon,%20The%20(1953)|0|0|0|0|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0 +1299|Penny Serenade (1941)|01-Jan-1941||http://us.imdb.com/M/title-exact?Penny%20Serenade%20(1941)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1300|'Til There Was You (1997)|30-May-1997||http://us.imdb.com/Title?%27Til+There+Was+You+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1301|Stripes (1981)|01-Jan-1981||http://us.imdb.com/M/title-exact?Stripes+(1981)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1302|Late Bloomers (1996)|06-Jun-1997||http://us.imdb.com/M/title-exact?Late%20Bloomers%20%281996%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1303|Getaway, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Getaway,%20The%20(1994)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1304|New York Cop (1996)|01-Jan-1996||http://us.imdb.com/Title?New+York+Cop+(1996)|0|1|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +1305|National Lampoon's Senior Trip (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?National%20Lampoon's%20Senior%20Trip%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1306|Delta of Venus (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Delta%20of%20Venus%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1307|Carmen Miranda: Bananas Is My Business (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Carmen%20Miranda:%20Bananas%20Is%20My%20Business%20(1994)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1308|Babyfever (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Babyfever%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1309|Very Natural Thing, A (1974)|01-Jan-1974||http://us.imdb.com/M/title-exact?Very%20Natural%20Thing,%20A%20(1974)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1310|Walk in the Sun, A (1945)|01-Jan-1945||http://us.imdb.com/M/title-exact?Walk%20in%20the%20Sun,%20A%20(1945)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1311|Waiting to Exhale (1995)|15-Jan-1996||http://us.imdb.com/M/title-exact?Waiting%20to%20Exhale%20(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1312|Pompatus of Love, The (1996)|26-Jul-1996||http://us.imdb.com/M/title-exact?Pompatus%20of%20Love,%20The%20(1996)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1313|Palmetto (1998)|20-Feb-1998||http://us.imdb.com/M/title-exact?Palmetto+(1998)|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0|1|0|0 +1314|Surviving the Game (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Surviving%20the%20Game%20(1994)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1315|Inventing the Abbotts (1997)|04-Apr-1997||http://us.imdb.com/M/title-exact?Inventing%20the%20Abbotts%20%281997%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1316|Horse Whisperer, The (1998)|25-Dec-1997||http://us.imdb.com/M/title-exact?imdb-title-119314|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1317|Journey of August King, The (1995)|22-Mar-1996||http://us.imdb.com/M/title-exact?Journey%20of%20August%20King,%20The%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1318|Catwalk (1995)|07-Jun-1996||http://us.imdb.com/Title?Catwalk+(1995/I)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1319|Neon Bible, The (1995)|01-Mar-1996||http://us.imdb.com/M/title-exact?Neon%20Bible,%20The%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1320|Homage (1995)|03-May-1996||http://us.imdb.com/M/title-exact?Homage%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1321|Open Season (1996)|10-May-1996||http://us.imdb.com/Title?Open+Season+(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1322|Metisse (Café au Lait) (1993)|01-Jan-1993||http://us.imdb.com/Title?M%E9tisse+(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1323|Wooden Man's Bride, The (Wu Kui) (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Wu%20Kui%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1324|Loaded (1994)|12-Apr-1996||http://us.imdb.com/M/title-exact?Loaded%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +1325|August (1996)|12-Apr-1996||http://us.imdb.com/M/title-exact?August%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1326|Boys (1996)|10-May-1996||http://us.imdb.com/M/title-exact?Boys%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1327|Captives (1994)|16-Sep-1994||http://us.imdb.com/Title?Captives+(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1328|Of Love and Shadows (1994)|10-May-1996||http://us.imdb.com/M/title-exact?Of%20Love%20and%20Shadows%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1329|Low Life, The (1994)|10-May-1996||http://us.imdb.com/Title?Low+Life,+The+(1994/I)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1330|An Unforgettable Summer (1994)|01-Jan-1994||http://us.imdb.com/Title?Un+%E9t%E9+inoubliable+(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1331|Last Klezmer: Leopold Kozlowski, His Life and Music, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Last%20Klezmer%3A%20Leopold%20Kozlowski%2C%20His%20Life%20and%20Music%2C%20The%20%281995%29|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1332|My Life and Times With Antonin Artaud (En compagnie d'Antonin Artaud) (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?En%20compagnie%20d'Antonin%20Artaud%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1333|Midnight Dancers (Sibak) (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Sibak%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1334|Somebody to Love (1994)|14-Jun-1996||http://us.imdb.com/Title?Somebody+to+Love+(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1335|American Buffalo (1996)|13-Sep-1996||http://us.imdb.com/M/title-exact?American%20Buffalo%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1336|Kazaam (1996)|17-Jul-1996||http://us.imdb.com/M/title-exact?Kazaam%20(1996)|0|0|0|0|1|1|0|0|0|1|0|0|0|0|0|0|0|0|0 +1337|Larger Than Life (1996)|01-Nov-1996||http://us.imdb.com/M/title-exact?Larger%20Than%20Life%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1338|Two Deaths (1995)|09-Aug-1996||http://us.imdb.com/Title?Two+Deaths+(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1339|Stefano Quantestorie (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Stefano%20Quantestorie%20%281993%29|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1340|Crude Oasis, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Crude%20Oasis,%20The%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1341|Hedd Wyn (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Hedd%20Wyn%20(1992)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1342|Convent, The (Convento, O) (1995)|14-Jun-1996||http://us.imdb.com/M/title-exact?Convento,%20O%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1343|Lotto Land (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Lotto%20Land%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1344|Story of Xinghua, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Story%20of%20Xinghua,%20The%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1345|Day the Sun Turned Cold, The (Tianguo niezi) (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Tianguo%20Niezi%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1346|Dingo (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Dingo%20(1992)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1347|Ballad of Narayama, The (Narayama Bushiko) (1958)|01-Jan-1958||http://us.imdb.com/M/title-exact?Narayama%20Bushiko%20%281958%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1348|Every Other Weekend (1990)|01-Jan-1990||http://us.imdb.com/Title?Un+week-end+sur+deux+(1990)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1349|Mille bolle blu (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Mille%20bolle%20blu%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1350|Crows and Sparrows (1949)|01-Jan-1949||http://us.imdb.com/Title?Wuya+yu+maque+(1949)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1351|Lover's Knot (1996)|12-Jul-1996||http://us.imdb.com/M/title-exact?Lover's%20Knot%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1352|Shadow of Angels (Schatten der Engel) (1976)|01-Jan-1976||http://us.imdb.com/M/title-exact?Schatten%20der%20Engel%20(1976)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1353|1-900 (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?06%20(1994)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1354|Venice/Venice (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Venice/Venice%20(1992)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1355|Infinity (1996)|04-Oct-1996||http://us.imdb.com/M/title-exact?Infinity%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1356|Ed's Next Move (1996)|04-Oct-1996||http://us.imdb.com/M/title-exact?Ed%27s%20Next%20Move%20%281996%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1357|For the Moment (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?For%20the%20Moment%20(1994)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0 +1358|The Deadly Cure (1996)|16-Sep-1996|||0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1359|Boys in Venice (1996)|24-Sep-1996|||0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1360|Sexual Life of the Belgians, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Vie%20sexuelle%20des%20Belges,%20La%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1361|Search for One-eye Jimmy, The (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Search%20for%20One-eye%20Jimmy,%20The%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1362|American Strays (1996)|13-Sep-1996||http://us.imdb.com/M/title-exact?American%20Strays%20(1996)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1363|Leopard Son, The (1996)|27-Sep-1996||http://us.imdb.com/M/title-exact?Leopard%20Son,%20The%20(1996)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1364|Bird of Prey (1996)|04-Oct-1996||http://us.imdb.com/M/title-exact?Bird%20of%20Prey%20(1996)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1365|Johnny 100 Pesos (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Johnny%20100%20Pesos%20(1993)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1366|JLG/JLG - autoportrait de décembre (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?JLG/JLG%20-%20autoportrait%20de%20d%E9cembre%20%281994%29|0|0|0|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0 +1367|Faust (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Faust%20%281994%29|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1368|Mina Tannenbaum (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Mina%20Tannenbaum%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1369|Forbidden Christ, The (Cristo proibito, Il) (1950)|01-Jan-1950||http://us.imdb.com/M/title-exact?Cristo%20proibito%2C%20Il%20%281950%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1370|I Can't Sleep (J'ai pas sommeil) (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?J'ai%20pas%20sommeil%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +1371|Machine, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Machine,%20La%20(1994)|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0|0|0|0 +1372|Stranger, The (1994)|01-Jan-1994||http://us.imdb.com/Title?Stranger,+The+(1994/II)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1373|Good Morning (1971)|4-Feb-1971||http://us.imdb.com/M/title-exact?Good%20Morning%20(1971)|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1374|Falling in Love Again (1980)|01-Jan-1980||http://us.imdb.com/M/title-exact?Falling%20in%20Love%20Again%20(1980)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1375|Cement Garden, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Cement%20Garden,%20The%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1376|Meet Wally Sparks (1997)|31-Jan-1997||http://us.imdb.com/M/title-exact?Meet%20Wally%20Sparks%20(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1377|Hotel de Love (1996)|07-Feb-1997||http://us.imdb.com/M/title-exact?Hotel%20de%20Love%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1378|Rhyme & Reason (1997)|05-Mar-1997||http://us.imdb.com/M/title-exact?Rhyme%20%26%20Reason%20(1997)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1379|Love and Other Catastrophes (1996)|28-Mar-1997||http://us.imdb.com/M/title-exact?Love%20and%20Other%20Catastrophes%20%281996%29|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1380|Hollow Reed (1996)|02-May-1997||http://us.imdb.com/Title?Hollow+Reed+(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1381|Losing Chase (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Losing%20Chase%20%281996%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1382|Bonheur, Le (1965)|16-May-1997||http://us.imdb.com/M/title-exact?Bonheur%2C%20Le%20%281965%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1383|Second Jungle Book: Mowgli & Baloo, The (1997)|16-May-1997||http://us.imdb.com/M/title-exact?Second%20Jungle%20Book%3A%20Mowgli%20%26%20Baloo%2C%20The%20%281997%29|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1384|Squeeze (1996)|13-Jun-1997||http://us.imdb.com/M/title-exact?Squeeze%20%281996%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1385|Roseanna's Grave (For Roseanna) (1997)|20-Jun-1997||http://us.imdb.com/M/title-exact?Roseanna%27s+Grave+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1386|Tetsuo II: Body Hammer (1992)|20-Jun-1997||http://us.imdb.com/M/title-exact?Tetsuo+II%3A+Body+Hammer+(1992)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +1387|Fall (1997)|27-Jun-1997||http://us.imdb.com/M/title-exact?Fall+(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1388|Gabbeh (1996)|27-Jun-1997||http://us.imdb.com/M/title-exact?Gabbeh+(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1389|Mondo (1996)|27-Jun-1997||http://us.imdb.com/M/title-exact?Mondo+(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1390|Innocent Sleep, The (1995)|27-Jun-1997||http://us.imdb.com/M/title-exact?Innocent+Sleep%2C+The+(1995)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +1391|For Ever Mozart (1996)|04-Jul-1997||http://us.imdb.com/M/title-exact?For+Ever+Mozart+(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1392|Locusts, The (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Locusts%2C+The+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1393|Stag (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Stag+(1997)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1394|Swept from the Sea (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Swept+from+the+Sea+(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1395|Hurricane Streets (1998)|01-Jan-1998||http://us.imdb.com/Title?Hurricane+Streets+(1998)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1396|Stonewall (1995)|26-Jul-1996||http://us.imdb.com/M/title-exact?Stonewall%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1397|Of Human Bondage (1934)|01-Jan-1934||http://us.imdb.com/M/title-exact?Of%20Human%20Bondage%20(1934)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1398|Anna (1996)|13-Nov-1996||http://us.imdb.com/M/title-exact?Anna%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1399|Stranger in the House (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-120222|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1400|Picture Bride (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Picture%20Bride%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1401|M. Butterfly (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?M.%20Butterfly%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1402|Ciao, Professore! (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Io%20speriamo%20che%20me%20la%20cavo%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1403|Caro Diario (Dear Diary) (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Caro%20diario%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1404|Withnail and I (1987)|01-Jan-1987||http://us.imdb.com/M/title-exact?Withnail%20and%20I%20(1987)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1405|Boy's Life 2 (1997)|07-Mar-1997||http://us.imdb.com/M/title-exact?Boy%27s%20Life%202%20(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1406|When Night Is Falling (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?When%20Night%20is%20Falling%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1407|Specialist, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Specialist,%20The%20(1994)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1408|Gordy (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Gordy%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1409|Swan Princess, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Swan%20Princess,%20The%20(1994)|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1410|Harlem (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Harlem%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1411|Barbarella (1968)|01-Jan-1968||http://us.imdb.com/M/title-exact?Barbarella%20(1968)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +1412|Land Before Time III: The Time of the Great Giving (1995) (V)|01-Jan-1995||http://us.imdb.com/M/title-exact?Land%20Before%20Time%20III%3A%20The%20Time%20of%20the%20Great%20Giving%20%281995%29%20%28V%29|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1413|Street Fighter (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Street%20Fighter%20(1994)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1414|Coldblooded (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Coldblooded%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1415|Next Karate Kid, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Next%20Karate%20Kid,%20The%20(1994)|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1416|No Escape (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?No%20Escape%20(1994)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +1417|Turning, The (1992)|02-May-1997||http://us.imdb.com/M/title-exact?Turning%2C%20The%20%281992%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1418|Joy Luck Club, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Joy+Luck+Club%2C+The+(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1419|Highlander III: The Sorcerer (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Highlander%20III:%20The%20Sorcerer%20(1994)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0 +1420|Gilligan's Island: The Movie (1998)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-119195|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1421|My Crazy Life (Mi vida loca) (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Mi%20vida%20loca%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1422|Suture (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Suture%20(1993)|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0 +1423|Walking Dead, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Walking%20Dead,%20The%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +1424|I Like It Like That (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?I%20Like%20It%20Like%20That%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|1|0|0|0|0 +1425|I'll Do Anything (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?I'll%20Do%20Anything%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1426|Grace of My Heart (1996)|13-Sep-1996||http://us.imdb.com/M/title-exact?Grace%20of%20My%20Heart%20(1996)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1427|Drunks (1995)|01-Nov-1996||http://us.imdb.com/M/title-exact?Drunks%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1428|SubUrbia (1997)|07-Feb-1997||http://us.imdb.com/M/title-exact?SubUrbia%20(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1429|Sliding Doors (1998)|01-Jan-1998||http://us.imdb.com/Title?Sliding+Doors+(1998)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1430|Ill Gotten Gains (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-119352|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1431|Legal Deceit (1997)|01-Jan-1997||http://us.imdb.com/Title?Legal+Deceit+(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1432|Mighty, The (1998)|09-Oct-1998||http://us.imdb.com/Title?Mighty,+The+(1998)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1433|Men of Means (1998)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-119655|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1434|Shooting Fish (1997)|16-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-120122|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1435|Steal Big, Steal Little (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Steal%20Big,%20Steal%20Little%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1436|Mr. Jones (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Mr.%20Jones%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1437|House Party 3 (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?House%20Party%203%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1438|Panther (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Panther%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1439|Jason's Lyric (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Jason's%20Lyric%20(1994)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +1440|Above the Rim (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Above%20the%20Rim%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1441|Moonlight and Valentino (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Moonlight%20and%20Valentino%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1442|Scarlet Letter, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Scarlet%20Letter,%20The%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1443|8 Seconds (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?8%20Seconds%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1444|That Darn Cat! (1965)|01-Jan-1965||http://us.imdb.com/Title?That+Darn+Cat%21+(1965)|0|0|0|0|1|1|0|0|0|0|0|0|0|1|0|0|0|0|0 +1445|Ladybird Ladybird (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Ladybird%20Ladybird%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1446|Bye Bye, Love (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Bye%20Bye,%20Love%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1447|Century (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Century%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1448|My Favorite Season (1993)|19-Apr-1996||http://us.imdb.com/Title?Ma+saison+pr%E9f%E9r%E9e+(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1449|Pather Panchali (1955)|22-Mar-1996||http://us.imdb.com/M/title-exact?Pather%20Panchali%20(1955)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1450|Golden Earrings (1947)|01-Jan-1947||http://us.imdb.com/M/title-exact?Golden%20Earrings%20%281947%29|0|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1451|Foreign Correspondent (1940)|01-Jan-1940||http://us.imdb.com/M/title-exact?Foreign%20Correspondent%20(1940)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1452|Lady of Burlesque (1943)|01-Jan-1943||http://us.imdb.com/M/title-exact?Lady%20of%20Burlesque%20(1943)|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0|0|0|0 +1453|Angel on My Shoulder (1946)|01-Jan-1946||http://us.imdb.com/M/title-exact?Angel%20on%20My%20Shoulder%20(1946)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +1454|Angel and the Badman (1947)|01-Jan-1947||http://us.imdb.com/M/title-exact?Angel%20and%20the%20Badman%20(1947)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +1455|Outlaw, The (1943)|01-Jan-1943||http://us.imdb.com/M/title-exact?Outlaw,%20The%20(1943)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +1456|Beat the Devil (1954)|01-Jan-1954||http://us.imdb.com/M/title-exact?Beat%20the%20Devil%20(1954)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1457|Love Is All There Is (1996)|11-Oct-1996||http://us.imdb.com/M/title-exact?Love%20Is%20All%20There%20Is%20(1996)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1458|Damsel in Distress, A (1937)|01-Jan-1937||http://us.imdb.com/M/title-exact?Damsel%20in%20Distress,%20A%20(1937)|0|0|0|0|0|1|0|0|0|0|0|0|1|0|1|0|0|0|0 +1459|Madame Butterfly (1995)|20-Sep-1996||http://us.imdb.com/M/title-exact?Madame%20Butterfly%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0 +1460|Sleepover (1995)|25-Oct-1996||http://us.imdb.com/M/title-exact?Sleepover%20(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1461|Here Comes Cookie (1935)|01-Jan-1935||http://us.imdb.com/M/title-exact?Here%20Comes%20Cookie%20(1935)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1462|Thieves (Voleurs, Les) (1996)|25-Dec-1996||http://us.imdb.com/M/title-exact?Voleurs,%20Les%20(1996)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|1|0|0|0|0 +1463|Boys, Les (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-118764|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1464|Stars Fell on Henrietta, The (1995)|01-Jan-1995||http://us.imdb.com/Title?Stars+Fell+on+Henrietta,+The+(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1465|Last Summer in the Hamptons (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Last%20Summer%20in%20the%20Hamptons%20(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1466|Margaret's Museum (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Margaret's%20Museum%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1467|Saint of Fort Washington, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Saint%20of%20Fort%20Washington,%20The%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1468|Cure, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Cure,%20The%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1469|Tom and Huck (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Tom%20and%20Huck%20(1995)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1470|Gumby: The Movie (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Gumby:%20The%20Movie%20(1995)|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1471|Hideaway (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Hideaway%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1472|Visitors, The (Visiteurs, Les) (1993)|19-Jul-1996||http://us.imdb.com/M/title-exact?Visiteurs,%20Les%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0|0 +1473|Little Princess, The (1939)|01-Jan-1939||http://us.imdb.com/M/title-exact?Little%20Princess,%20The%20(1939)|0|0|0|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1474|Nina Takes a Lover (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Nina%20Takes%20a%20Lover%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1475|Bhaji on the Beach (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Bhaji%20on%20the%20Beach%20(1993)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1476|Raw Deal (1948)|01-Jan-1948||http://us.imdb.com/M/title-exact?Raw%20Deal%20(1948)|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0 +1477|Nightwatch (1997)|22-Apr-1997||http://us.imdb.com/M/title-exact?Nightwatch%20(1997)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0 +1478|Dead Presidents (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Dead%20Presidents%20(1995)|0|1|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +1479|Reckless (1995)|01-Jan-1995||http://us.imdb.com/Title?Reckless+(1995/I)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1480|Herbie Rides Again (1974)|01-Jan-1974||http://us.imdb.com/M/title-exact?Herbie%20Rides%20Again%20(1974)|0|0|1|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1481|S.F.W. (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?S.F.W.%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1482|Gate of Heavenly Peace, The (1995)|10-May-1996||http://us.imdb.com/M/title-exact?Gate%20of%20Heavenly%20Peace,%20The%20(1995)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1483|Man in the Iron Mask, The (1998)|17-Mar-1998||http://us.imdb.com/Title?Man+in+the+Iron+Mask,+The+(1998/I)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1484|Jerky Boys, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Jerky%20Boys,%20The%20(1994)|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1485|Colonel Chabert, Le (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Colonel%20Chabert,%20Le%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|1|0 +1486|Girl in the Cadillac (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Girl%20in%20the%20Cadillac%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1487|Even Cowgirls Get the Blues (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Even%20Cowgirls%20Get%20the%20Blues%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1488|Germinal (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Germinal%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1489|Chasers (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Chasers%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1490|Fausto (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Fausto%20%281993%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1491|Tough and Deadly (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Tough%20and%20Deadly%20(1995)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +1492|Window to Paris (1994)|01-Jan-1994||http://us.imdb.com/Title?Okno+v+Parizh+(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1493|Modern Affair, A (1995)|06-Sep-1996||http://us.imdb.com/M/title-exact?Modern%20Affair,%20A%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1494|Mostro, Il (1994)|19-Apr-1996||http://us.imdb.com/M/title-exact?Mostro,%20Il%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1495|Flirt (1995)|07-Aug-1996||http://us.imdb.com/Title?Flirt+(1995/I)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1496|Carpool (1996)|23-Aug-1996||http://us.imdb.com/M/title-exact?Carpool%20(1996)|0|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0 +1497|Line King: Al Hirschfeld, The (1996)|11-Oct-1996||http://us.imdb.com/M/title-exact?Line%20King,%20The%20(1996)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1498|Farmer & Chase (1995)|10-Jan-1997||http://us.imdb.com/M/title-exact?Farmer%20&%20Chase%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1499|Grosse Fatigue (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Grosse%20fatigue%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1500|Santa with Muscles (1996)|08-Nov-1996||http://us.imdb.com/M/title-exact?Santa%20with%20Muscles%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1501|Prisoner of the Mountains (Kavkazsky Plennik) (1996)|31-Jan-1997||http://us.imdb.com/M/title-exact?Kavkazsky%20Plennik%20(1996)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0 +1502|Naked in New York (1994)|01-Jan-1994||http://us.imdb.com/Title?Naked+in+New+York+(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1503|Gold Diggers: The Secret of Bear Mountain (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Gold%20Diggers:%20The%20Secret%20of%20Bear%20Mountain%20(1995)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1504|Bewegte Mann, Der (1994)|12-Jul-1996||http://us.imdb.com/M/title-exact?Bewegte%20Mann%2C%20Der%20%281994%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1505|Killer: A Journal of Murder (1995)|06-Sep-1996||http://us.imdb.com/M/title-exact?Killer:%20A%20Journal%20of%20Murder%20(1995)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +1506|Nelly & Monsieur Arnaud (1995)|12-Apr-1996||http://us.imdb.com/M/title-exact?Nelly%20%26%20Monsieur%20Arnaud%20%281995%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1507|Three Lives and Only One Death (1996)|11-Oct-1996||http://us.imdb.com/M/title-exact?Trois%20vies%20et%20une%20seule%20mort%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1508|Babysitter, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Babysitter,%20The%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +1509|Getting Even with Dad (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Getting%20Even%20with%20Dad%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1510|Mad Dog Time (1996)|08-Nov-1996||http://us.imdb.com/M/title-exact?Mad%20Dog%20Time%20(1996)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +1511|Children of the Revolution (1996)|01-May-1997||http://us.imdb.com/M/title-exact?Children%20of%20the%20Revolution%20%281996%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1512|World of Apu, The (Apur Sansar) (1959)|05-Apr-1996||http://us.imdb.com/M/title-exact?Apur%20Sansar%20(1959)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1513|Sprung (1997)|14-May-1997||http://us.imdb.com/M/title-exact?Sprung%20%281997%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1514|Dream With the Fishes (1997)|20-Jun-1997||http://us.imdb.com/M/title-exact?Dream+With+the+Fishes+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1515|Wings of Courage (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Wings%20of%20Courage%20(1995)|0|0|1|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1516|Wedding Gift, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Wedding%20Gift,%20The%20(1994)%20(TV)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1517|Race the Sun (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?Race%20the%20Sun%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1518|Losing Isaiah (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Losing%20Isaiah%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1519|New Jersey Drive (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?New%20Jersey%20Drive%20(1995)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +1520|Fear, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Fear,%20The%20(1995)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +1521|Mr. Wonderful (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Mr.%20Wonderful%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1522|Trial by Jury (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Trial%20by%20Jury%20(1994)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1523|Good Man in Africa, A (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Good%20Man%20in%20Africa,%20A%20(1994)|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1524|Kaspar Hauser (1993)|07-Jun-1996||http://us.imdb.com/Title?Kaspar+Hauser+(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1525|Object of My Affection, The (1998)|20-Mar-1998||http://us.imdb.com/Title?Object+of+My+Affection,+The+(1998)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1526|Witness (1985)|01-Jan-1985||http://us.imdb.com/M/title-exact?Witness+(1985)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|1|0|0 +1527|Senseless (1998)|09-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-120820|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1528|Nowhere (1997)|09-May-1997||http://us.imdb.com/M/title-exact?Nowhere%20%281997%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1529|Underground (1995)|29-Mar-1996||http://us.imdb.com/M/title-exact?Underground%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0 +1530|Jefferson in Paris (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Jefferson%20in%20Paris%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1531|Far From Home: The Adventures of Yellow Dog (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Far%20From%20Home:%20The%20Adventures%20of%20Yellow%20Dog%20(1995)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1532|Foreign Student (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Foreign%20Student%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1533|I Don't Want to Talk About It (De eso no se habla) (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?De%20Eso%20No%20Se%20Habla%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1534|Twin Town (1997)|30-May-1997||http://us.imdb.com/M/title-exact?Twin%20Town%20%281997%29|0|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0 +1535|Enfer, L' (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Enfer,%20L'%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1536|Aiqing wansui (1994)|22-Jul-1996||http://us.imdb.com/M/title-exact?Aiqing%20Wansui%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1537|Cosi (1996)|11-Apr-1997||http://us.imdb.com/M/title-exact?Cosi%20(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1538|All Over Me (1997)|25-Apr-1997||http://us.imdb.com/M/title-exact?All%20Over%20Me%20%281997%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1539|Being Human (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Being%20Human%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1540|Amazing Panda Adventure, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Amazing%20Panda%20Adventure,%20The%20(1995)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1541|Beans of Egypt, Maine, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Beans%20of%20Egypt,%20Maine,%20The%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1542|Scarlet Letter, The (1926)|01-Jan-1926||http://us.imdb.com/M/title-exact?Scarlet%20Letter,%20The%20(1926)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1543|Johns (1996)|18-Oct-1996||http://us.imdb.com/M/title-exact?Johns%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1544|It Takes Two (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?It%20Takes%20Two%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1545|Frankie Starlight (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Frankie%20Starlight%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1546|Shadows (Cienie) (1988)|01-Jan-1988||http://us.imdb.com/M/title-exact?Cienie%20(1988)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1547|Show, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Show,%20The%20(1995)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1548|The Courtyard (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Courtyard,%20The%20(1995)%20(TV)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1549|Dream Man (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Dream%20Man%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1550|Destiny Turns on the Radio (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Destiny%20Turns%20on%20the%20Radio%20(1995)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1551|Glass Shield, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Glass%20Shield,%20The%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1552|Hunted, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Hunted,%20The%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1553|Underneath, The (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Underneath,%20The%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0 +1554|Safe Passage (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Safe%20Passage%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1555|Secret Adventures of Tom Thumb, The (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Secret%20Adventures%20of%20Tom%20Thumb,%20The%20(1993)|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0 +1556|Condition Red (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Condition%20Red%20(1995)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +1557|Yankee Zulu (1994)|16-Feb-1996||http://us.imdb.com/M/title-exact?Yankee%20Zulu%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1558|Aparajito (1956)|29-Mar-1996||http://us.imdb.com/M/title-exact?Aparajito%20(1956)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1559|Hostile Intentions (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Hostile%20Intentions%20(1994)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +1560|Clean Slate (Coup de Torchon) (1981)|01-Jan-1981||http://us.imdb.com/M/title-exact?Coup%20de%20torchon%20(1981)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +1561|Tigrero: A Film That Was Never Made (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Tigrero:%20A%20Film%20That%20Was%20Never%20Made%20(1994)|0|0|0|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0 +1562|Eye of Vichy, The (Oeil de Vichy, L') (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Oeil%20de%20Vichy,%20L'%20(1993)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1563|Promise, The (Versprechen, Das) (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Versprechen,%20Das%20(1994)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1564|To Cross the Rubicon (1991)|01-Jan-1991||http://us.imdb.com/M/title-exact?To%20Cross%20the%20Rubicon%20(1991)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1565|Daens (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Daens%20(1992)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1566|Man from Down Under, The (1943)|01-Jan-1943||http://us.imdb.com/Title?Man+from+Down+Under,+The+(1943)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1567|Careful (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Careful%20(1992)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1568|Vermont Is For Lovers (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Vermont%20Is%20For%20Lovers%20(1992)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1569|Vie est belle, La (Life is Rosey) (1987)|01-Jan-1987||http://us.imdb.com/M/title-exact?Vie%20est%20belle,%20La%20(1987)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1570|Quartier Mozart (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Quartier%20Mozart%20(1992)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1571|Touki Bouki (Journey of the Hyena) (1973)|01-Jan-1973||http://us.imdb.com/M/title-exact?Touki%20Bouki%20(1973)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1572|Wend Kuuni (God's Gift) (1982)|01-Jan-1982||http://us.imdb.com/M/title-exact?Wend%20Kuuni%20(1982)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1573|Spirits of the Dead (Tre passi nel delirio) (1968)|01-Jan-1968||http://us.imdb.com/M/title-exact?Tre%20passi%20nel%20delirio%20(1968)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0 +1574|Pharaoh's Army (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Pharaoh's%20Army%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0 +1575|I, Worst of All (Yo, la peor de todas) (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?Yo,%20la%20Peor%20de%20Todas%20(1990)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1576|Hungarian Fairy Tale, A (1987)|01-Jan-1987||http://us.imdb.com/M/title-exact?Hol%20volt,%20hol%20nem%20volt%20(1987)|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0 +1577|Death in the Garden (Mort en ce jardin, La) (1956)|01-Jan-1956||http://us.imdb.com/Title?Mort+en+ce+jardin,+La+(1956)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1578|Collectionneuse, La (1967)|01-Jan-1967||http://us.imdb.com/M/title-exact?Collectionneuse,%20La%20(1967)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1579|Baton Rouge (1988)|01-Jan-1988||http://us.imdb.com/Title?B%E2ton+rouge+(1988)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1580|Liebelei (1933)|01-Jan-1933||http://us.imdb.com/M/title-exact?Liebelei%20(1933)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1581|Woman in Question, The (1950)|01-Jan-1950||http://us.imdb.com/M/title-exact?Woman%20in%20Question,%20The%20(1950)|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0 +1582|T-Men (1947)|01-Jan-1947||http://us.imdb.com/M/title-exact?T-Men%20(1947)|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0 +1583|Invitation, The (Zaproszenie) (1986)|01-Jan-1986||http://us.imdb.com/M/title-exact?Zaproszenie%20(1986)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1584|Symphonie pastorale, La (1946)|01-Jan-1946||http://us.imdb.com/M/title-exact?Symphonie%20pastorale,%20La%20(1946)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1585|American Dream (1990)|01-Jan-1990||http://us.imdb.com/M/title-exact?American%20Dream%20(1990)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1586|Lashou shentan (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Lashou%20Shentan%20(1992)|0|1|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +1587|Terror in a Texas Town (1958)|01-Jan-1958||http://us.imdb.com/M/title-exact?Terror%20in%20a%20Texas%20Town%20(1958)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1 +1588|Salut cousin! (1996)|21-Feb-1997||http://us.imdb.com/M/title-exact?Salut%20cousin!%20(1996)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1589|Schizopolis (1996)|23-May-1997||http://us.imdb.com/Title?Schizopolis+(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1590|To Have, or Not (1995)|06-Jun-1997||http://us.imdb.com/M/title-exact?En%20avoir%20%28ou%20pas%29%20%281995%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1591|Duoluo tianshi (1995)|21-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-112913|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1592|Magic Hour, The (1998)|30-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-119594|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1593|Death in Brunswick (1991)|16-Aug-1996||http://us.imdb.com/M/title-exact?Death%20in%20Brunswick%20(1991)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1594|Everest (1998)|10-Mar-1998||http://us.imdb.com/Title?Everest+(1998)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1595|Shopping (1994)|09-Feb-1996||http://us.imdb.com/M/title-exact?Shopping%20(1994)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1596|Nemesis 2: Nebula (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Nemesis%202:%20Nebula%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0 +1597|Romper Stomper (1992)|01-Jan-1992||http://us.imdb.com/M/title-exact?Romper%20Stomper%20(1992)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1598|City of Industry (1997)|14-Mar-1997||http://us.imdb.com/M/title-exact?City%20of%20Industry%20(1997)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|1|0|0 +1599|Someone Else's America (1995)|10-May-1996||http://us.imdb.com/M/title-exact?Someone%20Else's%20America%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1600|Guantanamera (1994)|16-May-1997||http://us.imdb.com/M/title-exact?Guantanamera%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1601|Office Killer (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?imdb-title-119819|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1602|Price Above Rubies, A (1998)|20-Mar-1998||http://us.imdb.com/Title?Price+Above+Rubies,+A+(1998)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1603|Angela (1995)|16-Feb-1996||http://us.imdb.com/M/title-exact?Angela%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1604|He Walked by Night (1948)|01-Jan-1948||http://us.imdb.com/M/title-exact?He%20Walked%20by%20Night%20(1948)|0|0|0|0|0|0|1|0|0|0|1|0|0|0|0|0|1|0|0 +1605|Love Serenade (1996)|11-Jul-1997||http://us.imdb.com/M/title-exact?Love+Serenade+(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1606|Deceiver (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Liar+(1997)|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +1607|Hurricane Streets (1998)|01-Jan-1998||http://us.imdb.com/Title?Hurricane+Streets+(1998)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1608|Buddy (1997)|06-Jun-1997||http://us.imdb.com/M/title-exact?Buddy%20%281997%29|0|0|1|0|1|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1609|B*A*P*S (1997)|28-Mar-1997||http://us.imdb.com/M/title-exact?B%2EA%2EP%2ES%2E%20(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1610|Truth or Consequences, N.M. (1997)|02-May-1997||http://us.imdb.com/Title?Truth+or+Consequences,+N.M.+(1997)|0|1|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0|0|0 +1611|Intimate Relations (1996)|09-May-1997||http://us.imdb.com/M/title-exact?Intimate%20Relations%20%281996%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1612|Leading Man, The (1996)|16-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-116845|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1613|Tokyo Fist (1995)|11-Feb-1998||http://us.imdb.com/M/title-exact?Tokyo+Fist+(1995)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1614|Reluctant Debutante, The (1958)|01-Jan-1958||http://us.imdb.com/M/title-exact?Reluctant%20Debutante,%20The%20(1958)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1615|Warriors of Virtue (1997)|02-May-1997||http://us.imdb.com/M/title-exact?Warriors%20of%20Virtue%20%281997%29|0|1|1|0|1|0|0|0|0|1|0|0|0|0|0|0|0|0|0 +1616|Desert Winds (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Desert%20Winds%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1617|Hugo Pool (1997)|01-Jan-1997||http://us.imdb.com/M/title-exact?Hugo+Pool+(1997)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1618|King of New York (1990)|01-Jan-1990||http://us.imdb.com/Title?King+of+New+York+(1990)|0|1|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0 +1619|All Things Fair (1996)|08-Mar-1996||http://us.imdb.com/Title?Lust+och+f%E4gring+stor+(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1620|Sixth Man, The (1997)|28-Mar-1997||http://us.imdb.com/M/title-exact?Sixth%20Man%2C%20The%20(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1621|Butterfly Kiss (1995)|26-Apr-1996||http://us.imdb.com/M/title-exact?Butterfly%20Kiss%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1622|Paris, France (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Paris,%20France%20(1993)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1623|Cérémonie, La (1995)|20-Dec-1996||http://us.imdb.com/M/title-exact?C%E9r%E9monie%2C%20La%20%281995%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1624|Hush (1998)|10-Mar-1998||http://us.imdb.com/Title?Hush+(1998)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1625|Nightwatch (1997)|22-Apr-1997||http://us.imdb.com/M/title-exact?Nightwatch%20(1997)|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|1|0|0 +1626|Nobody Loves Me (Keiner liebt mich) (1994)|09-Feb-1996||http://us.imdb.com/M/title-exact?Keiner%20liebt%20mich%20(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1627|Wife, The (1995)|26-Jul-1996||http://us.imdb.com/Title?Wife,+The+(1995)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1628|Lamerica (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Lamerica%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1629|Nico Icon (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Nico%20Icon%20(1995)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1630|Silence of the Palace, The (Saimt el Qusur) (1994)|02-Feb-1996||http://us.imdb.com/M/title-exact?Saimt%20el%20Qusur%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1631|Slingshot, The (1993)|01-Jan-1993||http://us.imdb.com/Title?K%E5disbellan+(1993)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1632|Land and Freedom (Tierra y libertad) (1995)|29-Mar-1996||http://us.imdb.com/M/title-exact?Tierra%20y%20libertad%20(1995)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0 +1633|Á köldum klaka (Cold Fever) (1994)|08-Mar-1996||http://us.imdb.com/Title?%C1+k%F6ldum+klaka+(1994)|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0 +1634|Etz Hadomim Tafus (Under the Domin Tree) (1994)|19-Apr-1996||http://us.imdb.com/M/title-exact?Etz%20Hadomim%20Tafus%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1635|Two Friends (1986) |26-Apr-1986||http://us.imdb.com/M/title-exact?Two%20Friends%20(1986)%20(TV)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1636|Brothers in Trouble (1995)|26-Apr-1996||http://us.imdb.com/M/title-exact?Brothers%20in%20Trouble%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1637|Girls Town (1996)|23-Aug-1996||http://us.imdb.com/M/title-exact?Girls%20Town%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1638|Normal Life (1996)|25-Oct-1996||http://us.imdb.com/M/title-exact?Normal%20Life%20(1996)|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0 +1639|Bitter Sugar (Azucar Amargo) (1996)|22-Nov-1996||http://us.imdb.com/M/title-exact?Bitter%20Sugar%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1640|Eighth Day, The (1996)|01-Nov-1996||http://us.imdb.com/Title?Huiti%E8me+jour,+Le+(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1641|Dadetown (1995)|18-Sep-1996||http://us.imdb.com/M/title-exact?Dadetown%20(1995)|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0 +1642|Some Mother's Son (1996)|27-Dec-1996||http://us.imdb.com/M/title-exact?Some%20Mother's%20Son%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1643|Angel Baby (1995)|10-Jan-1997||http://us.imdb.com/Title?Angel+Baby+(1995/I)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1644|Sudden Manhattan (1996)|13-Jun-1997||http://us.imdb.com/M/title-exact?Sudden%20Manhattan%20%281996%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1645|Butcher Boy, The (1998)|01-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-118804|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1646|Men With Guns (1997)|06-Mar-1998||http://us.imdb.com/Title?Men+with+Guns+(1997/I)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1647|Hana-bi (1997)|20-Mar-1998||http://us.imdb.com/Title?Hana-bi+(1997)|0|0|0|0|0|1|1|0|1|0|0|0|0|0|0|0|0|0|0 +1648|Niagara, Niagara (1997)|20-Mar-1998||http://us.imdb.com/Title?Niagara,+Niagara+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1649|Big One, The (1997)|27-Mar-1998||http://us.imdb.com/Title?Big+One,+The+(1997)|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0 +1650|Butcher Boy, The (1998)|01-Jan-1998||http://us.imdb.com/M/title-exact?imdb-title-118804|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1651|Spanish Prisoner, The (1997)|27-Mar-1998||http://us.imdb.com/Title?Spanish+Prisoner,+The+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|1|0|0 +1652|Temptress Moon (Feng Yue) (1996)|13-Jun-1997||http://us.imdb.com/M/title-exact?Feng%20Yue%20%281996%29|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0 +1653|Entertaining Angels: The Dorothy Day Story (1996)|27-Sep-1996||http://us.imdb.com/M/title-exact?Entertaining%20Angels:%20The%20Dorothy%20Day%20Story%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1654|Chairman of the Board (1998)|01-Jan-1998||http://us.imdb.com/Title?Chairman+of+the+Board+(1998)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1655|Favor, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?Favor,%20The%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1656|Little City (1998)|20-Feb-1998||http://us.imdb.com/M/title-exact?Little+City+(1998)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0|0|0|0 +1657|Target (1995)|28-Feb-1996||http://us.imdb.com/M/title-exact?Target%20(1995)|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1658|Substance of Fire, The (1996)|06-Dec-1996||http://us.imdb.com/M/title-exact?Substance%20of%20Fire,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1659|Getting Away With Murder (1996)|12-Apr-1996||http://us.imdb.com/Title?Getting+Away+With+Murder+(1996)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1660|Small Faces (1995)|09-Aug-1996||http://us.imdb.com/M/title-exact?Small%20Faces%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1661|New Age, The (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?New%20Age,%20The%20(1994)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1662|Rough Magic (1995)|30-May-1997||http://us.imdb.com/M/title-exact?Rough%20Magic%20%281995%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1663|Nothing Personal (1995)|30-Apr-1997||http://us.imdb.com/M/title-exact?Nothing%20Personal%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|0 +1664|8 Heads in a Duffel Bag (1997)|18-Apr-1997||http://us.imdb.com/Title?8+Heads+in+a+Duffel+Bag+(1997)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1665|Brother's Kiss, A (1997)|25-Apr-1997||http://us.imdb.com/M/title-exact?Brother%27s%20Kiss%2C%20A%20%281997%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1666|Ripe (1996)|02-May-1997||http://us.imdb.com/M/title-exact?Ripe%20%281996%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1667|Next Step, The (1995)|13-Jun-1997||http://us.imdb.com/M/title-exact?Next%20Step%2C%20The%20%281995%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1668|Wedding Bell Blues (1996)|13-Jun-1997||http://us.imdb.com/M/title-exact?Wedding%20Bell%20Blues%20%281996%29|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1669|MURDER and murder (1996)|20-Jun-1997||http://us.imdb.com/M/title-exact?MURDER+and+murder+(1996)|0|0|0|0|0|0|1|0|1|0|0|0|0|1|0|0|0|0|0 +1670|Tainted (1998)|01-Feb-1998||http://us.imdb.com/M/title-exact?Tainted+(1998)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|1|0|0 +1671|Further Gesture, A (1996)|20-Feb-1998||http://us.imdb.com/M/title-exact?Further+Gesture%2C+A+(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1672|Kika (1993)|01-Jan-1993||http://us.imdb.com/M/title-exact?Kika%20(1993)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1673|Mirage (1995)|01-Jan-1995||http://us.imdb.com/M/title-exact?Mirage%20(1995)|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0 +1674|Mamma Roma (1962)|01-Jan-1962||http://us.imdb.com/M/title-exact?Mamma%20Roma%20(1962)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1675|Sunchaser, The (1996)|25-Oct-1996||http://us.imdb.com/M/title-exact?Sunchaser,%20The%20(1996)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1676|War at Home, The (1996)|01-Jan-1996||http://us.imdb.com/M/title-exact?War%20at%20Home%2C%20The%20%281996%29|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1677|Sweet Nothing (1995)|20-Sep-1996||http://us.imdb.com/M/title-exact?Sweet%20Nothing%20(1995)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1678|Mat' i syn (1997)|06-Feb-1998||http://us.imdb.com/M/title-exact?Mat%27+i+syn+(1997)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 +1679|B. Monkey (1998)|06-Feb-1998||http://us.imdb.com/M/title-exact?B%2E+Monkey+(1998)|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0 +1680|Sliding Doors (1998)|01-Jan-1998||http://us.imdb.com/Title?Sliding+Doors+(1998)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|1|0|0|0|0 +1681|You So Crazy (1994)|01-Jan-1994||http://us.imdb.com/M/title-exact?You%20So%20Crazy%20(1994)|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0 +1682|Scream of Stone (Schrei aus Stein) (1991)|08-Mar-1996||http://us.imdb.com/M/title-exact?Schrei%20aus%20Stein%20(1991)|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0 diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/data/ufo.csv b/appkits/qpyapp/src/qpynotes/topics/pandas/data/ufo.csv new file mode 100644 index 0000000..1dcfcdc --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/data/ufo.csv @@ -0,0 +1,18242 @@ +City,Colors Reported,Shape Reported,State,Time +Ithaca,,TRIANGLE,NY,6/1/1930 22:00 +Willingboro,,OTHER,NJ,6/30/1930 20:00 +Holyoke,,OVAL,CO,2/15/1931 14:00 +Abilene,,DISK,KS,6/1/1931 13:00 +New York Worlds Fair,,LIGHT,NY,4/18/1933 19:00 +Valley City,,DISK,ND,9/15/1934 15:30 +Crater Lake,,CIRCLE,CA,6/15/1935 0:00 +Alma,,DISK,MI,7/15/1936 0:00 +Eklutna,,CIGAR,AK,10/15/1936 17:00 +Hubbard,,CYLINDER,OR,6/15/1937 0:00 +Fontana,,LIGHT,CA,8/15/1937 21:00 +Waterloo,,FIREBALL,AL,6/1/1939 20:00 +Belton,RED,SPHERE,SC,6/30/1939 20:00 +Keokuk,,OVAL,IA,7/7/1939 2:00 +Ludington,,DISK,MI,6/1/1941 13:00 +Forest Home,,CIRCLE,CA,7/2/1941 11:30 +Los Angeles,,,CA,2/25/1942 0:00 +Hapeville,,,GA,6/1/1942 22:30 +Oneida,,RECTANGLE,TN,7/15/1942 1:00 +Bering Sea,RED,OTHER,AK,4/30/1943 23:00 +Nebraska,,DISK,NE,6/1/1943 15:00 +,,,LA,8/15/1943 0:00 +,,LIGHT,LA,8/15/1943 0:00 +Owensboro,,RECTANGLE,KY,10/15/1943 11:00 +Wilderness,,DISK,WV,1/1/1944 10:00 +San Diego,,CIGAR,CA,1/1/1944 12:00 +Wilderness,,DISK,WV,1/1/1944 12:00 +Clovis,,DISK,NM,4/2/1944 11:00 +Los Alamos,,DISK,NM,6/1/1944 12:00 +Ft. Duschene,,DISK,UT,6/30/1944 10:00 +South Kingstown,,SPHERE,RI,7/1/1944 20:00 +North Tampa,,CYLINDER,FL,7/15/1944 13:00 +Ft. Lee,,CIGAR,VA,1/1/1945 12:00 +Salinas AFB,,DISK,CA,6/1/1945 12:00 +Jasper,,FIREBALL,FL,6/1/1945 13:30 +Winston-Salem,,DISK,NC,6/7/1945 7:00 +Portsmouth,RED,FORMATION,VA,7/10/1945 1:30 +Dallas,,SPHERE,TX,7/15/1945 14:00 +Huntington Beach,,DISK,CA,8/8/1945 12:00 +San Antonio,,OVAL,NM,8/16/1945 11:30 +Roswell,,SPHERE,NM,12/15/1945 2:00 +New York City,,DISK,NY,1/8/1946 2:00 +Merced,,SPHERE,CA,2/1/1946 17:00 +Alice,,DISK,TX,3/15/1946 15:30 +Blairsden,GREEN,SPHERE,CA,6/30/1946 19:00 +Index,,FIREBALL,WA,6/30/1946 21:00 +South Portland,,OVAL,ME,7/1/1946 13:30 +Oak Lawn,,FORMATION,IL,9/12/1946 0:00 +Dome,,FLASH,AZ,9/30/1946 20:30 +Conroe,,OTHER,TX,1/10/1947 20:00 +Syracuse,,DISK,NY,2/20/1947 22:15 +Miami,,OTHER,FL,4/15/1947 14:00 +San Deigo,,TRIANGLE,CA,4/15/1947 23:00 +Minden,,,LA,6/1/1947 0:00 +Cleveland,,LIGHT,OH,6/1/1947 2:30 +Espanola,,CIRCLE,NM,6/1/1947 17:00 +Oroville,,,CA,6/1/1947 18:00 +Oakmont,,,PA,6/13/1947 20:18 +Winona,,DISK,MN,6/15/1947 10:00 +Gackle,,OTHER,ND,6/15/1947 14:00 +Madison,,DISK,WI,6/15/1947 18:00 +Hayward,,CIRCLE,CA,6/20/1947 12:00 +Tacoma,,OTHER,WA,6/30/1947 0:00 +Baltimore,,OVAL,MD,6/30/1947 18:00 +Cashmere,,FORMATION,WA,7/1/1947 20:00 +Maywood,,DISK,CA,7/1/1947 20:00 +Wexford,BLUE,,PA,7/1/1947 20:00 +Sioux Falls,,,SD,7/4/1947 0:00 +Seattle,,OVAL,WA,7/4/1947 17:30 +Dell Rapids,,,SD,7/5/1947 0:00 +Philadelphia,,DISK,PA,7/5/1947 11:30 +Roswell,,,NM,7/7/1947 0:00 +Johnston City,,DISK,IL,7/9/1947 20:00 +Roswell,,,NM,7/11/1947 0:00 +Syracuse,,CIGAR,NY,7/14/1947 10:30 +Richmond,,CIRCLE,CA,7/14/1947 11:00 +Las Vegas,,DISK,NV,7/15/1947 10:00 +Keeneyville,,FORMATION,IL,7/15/1947 12:00 +Clintwood,,CYLINDER,VA,7/15/1947 15:00 +Hazelton,,DISK,ID,7/15/1947 15:00 +Minneapolis,,DISK,MN,7/15/1947 17:00 +Morehouse,,CYLINDER,MO,7/15/1947 21:00 +San Jose,BLUE,CHEVRON,CA,7/15/1947 21:00 +Raton,,OVAL,NM,7/20/1947 22:00 +Modesto,BLUE,DISK,CA,8/8/1947 22:00 +Green Valley,,,WI,8/10/1947 20:00 +Henrietta,,LIGHT,OK,8/12/1947 1:00 +Saranac Lake,,DISK,NY,8/12/1947 22:00 +Proctor,,CIGAR,OK,8/15/1947 20:15 +Whitmore Lake,,CIGAR,MI,12/24/1947 21:00 +Kelseyville,,DISK,CA,4/30/1948 12:00 +Scipio,RED,SPHERE,IN,5/10/1948 19:00 +Borger,,DISK,TX,6/15/1948 16:00 +Baltimore,,OVAL,MD,6/30/1948 0:00 +Jim Ridge,,,WV,6/30/1948 8:00 +Ojai,,LIGHT,CA,7/15/1948 22:00 +New York City,,CIRCLE,NY,8/1/1948 2:00 +Conshohocken,,OVAL,PA,8/15/1948 12:00 +Sharpsburg,,CIRCLE,MD,12/12/1948 23:30 +Seattle,,DISK,WA,4/10/1949 15:00 +Oak Ridge,,OTHER,WV,5/1/1949 14:00 +Grays,,LIGHT,SC,5/15/1949 6:30 +Los Angeles,,CIRCLE,CT,6/4/1949 10:00 +Anchorage,,DISK,AK,6/10/1949 21:00 +Knoxville,,OTHER,TN,6/30/1949 15:00 +Salem,,CIGAR,OR,6/30/1949 21:00 +Fairbanks,,DISK,AK,7/1/1949 11:00 +Marion,,FORMATION,AL,7/1/1949 16:00 +Booneville,,,MS,7/15/1949 20:30 +Excelsior,,CIRCLE,MN,8/15/1949 0:00 +Mill Valley,,LIGHT,CA,8/15/1949 21:00 +Tarrant City,ORANGE,CIRCLE,AL,8/15/1949 22:00 +Steilacoom,,DISK,WA,8/25/1949 19:00 +Mt Gilead,,CIRCLE,OH,9/15/1949 21:00 +Post,,DISK,TX,9/15/1949 21:00 +San Marcos,,CYLINDER,TX,10/10/1949 20:30 +Lackland AFB,,LIGHT,TX,10/10/1949 21:00 +Baltimore,,CIGAR,MD,10/15/1949 20:00 +Mount Hope,,,WV,1/1/1950 22:00 +New York City,,OVAL,NY,1/2/1950 0:00 +Roswell,RED,,NM,3/22/1950 0:00 +Arkansas,,DISK,AR,4/15/1950 8:00 +Waynesborough,,DISK,VA,4/15/1950 14:00 +Fort Lewis,,TRIANGLE,WA,5/12/1950 14:00 +Crowder,,,MS,6/1/1950 0:00 +Philadelphia,,DISK,MS,6/1/1950 16:00 +Pittsburgh,,OVAL,PA,6/1/1950 20:00 +Kensington,,OVAL,MD,6/7/1950 20:00 +Kansas City,,DISK,MO,6/8/1950 10:00 +Napa,GREEN,DISK,CA,6/10/1950 0:00 +Grosse Pointe Park,,OVAL,MI,6/15/1950 13:00 +Bonifay,,DISK,FL,6/15/1950 20:00 +Fort Worth,,DISK,TX,6/15/1950 20:00 +Booneville,,DISK,MS,6/20/1950 10:00 +Galveston,,SPHERE,TX,6/20/1950 17:00 +Lac Du Flambeau,,DISK,WI,6/30/1950 16:00 +Florence,,DISK,CO,6/30/1950 17:30 +Florence,,LIGHT,CO,6/30/1950 17:30 +Coeur d'Alene,ORANGE,CIGAR,ID,7/2/1950 13:00 +Bay St. Louis,,LIGHT,MS,7/2/1950 21:00 +East Palestine,,LIGHT,OH,7/10/1950 20:30 +Newark,,SPHERE,NJ,7/15/1950 21:30 +Los Padres National Forest,,FORMATION,CA,7/15/1950 23:00 +Smithport,,DISK,PA,7/20/1950 21:30 +Louisville,,OTHER,KY,8/1/1950 4:00 +Stanfield,,DISK,OR,8/15/1950 14:00 +Pikeville,,DISK,KY,10/1/1950 11:00 +Sandy Hook,,TRIANGLE,NJ,10/15/1950 15:00 +Half Moon Bay,,OTHER,CA,12/12/1950 22:00 +Palm Springs,,CIGAR,CA,1/20/1951 4:30 +Thompsonville,,DISK,CT,2/3/1951 22:00 +Los Angeles,,DISK,CA,2/15/1951 11:00 +Irving,BLUE,DISK,KS,4/15/1951 0:30 +Fort Sill,,OVAL,OK,5/15/1951 3:00 +Oklahoma,,CIGAR,OK,6/1/1951 19:00 +Jasper,,OVAL,NC,6/3/1951 13:00 +Mount Pinos,,DISK,CA,6/6/1951 2:00 +Greenville,GREEN,DISK,MS,6/15/1951 20:30 +Jackson Heights,,DISK,NY,6/30/1951 7:00 +Birmingham,,,AL,6/30/1951 19:00 +Otis Orchards,,DISK,WA,7/1/1951 3:00 +Atlanta,,,GA,7/1/1951 14:00 +Calaveras County,,DISK,CA,7/3/1951 3:00 +Green River,GREEN,SPHERE,WY,7/3/1951 12:00 +Provo,BLUE,DISK,UT,7/10/1951 23:30 +Spokane Valley,,SPHERE,WA,7/15/1951 14:00 +Sunland,,CIRCLE,CA,8/10/1951 1:00 +Altoona,,DISK,PA,8/15/1951 13:00 +Jacksonville,,DISK,FL,10/15/1951 20:00 +Holloman AFB,,CIRCLE,NM,11/15/1951 6:00 +Salt Lake City,,,UT,1/1/1952 0:00 +Binghamton,,DISK,NY,2/10/1952 21:00 +Nellis AFB,,DISK,NV,2/17/1952 18:00 +Chicago,,DISK,IL,4/15/1952 13:00 +Greenville,ORANGE,TRIANGLE,TX,4/15/1952 16:00 +Pittsburgh,,CYLINDER,PA,5/15/1952 10:15 +Allyn,,DISK,WA,5/15/1952 20:00 +Dousman,,,WI,6/1/1952 11:00 +Norfolk,RED,FIREBALL,VA,6/1/1952 22:00 +Evergreen,,DISK,CO,6/6/1952 13:00 +Chicago,,CIRCLE,IL,6/10/1952 12:00 +Fortville,,DISK,IN,6/13/1952 7:30 +Luke Airforce Base,,EGG,AZ,6/15/1952 0:00 +Piedra Blanka,,CIGAR,CA,6/15/1952 0:00 +Jacksonville,,TRIANGLE,FL,6/15/1952 21:00 +Maywood,,CIRCLE,CA,6/15/1952 23:00 +Lansing,,OTHER,MI,6/21/1952 22:00 +Chester,,OVAL,PA,6/22/1952 17:45 +Cheyenne,,DISK,WY,6/30/1952 0:00 +Pecos,,DISK,TX,6/30/1952 3:00 +Barksdale AFB,,,LA,6/30/1952 6:00 +Miami,,LIGHT,FL,6/30/1952 9:00 +New York City,,DISK,NY,6/30/1952 13:00 +Auburn,,OVAL,WA,6/30/1952 18:30 +Miami,,DISK,FL,6/30/1952 21:00 +Miami,,DISK,FL,6/30/1952 21:00 +Miami,,LIGHT,FL,6/30/1952 21:00 +Sebeka,,OTHER,MN,7/1/1952 15:00 +Detroit,,SPHERE,MI,7/1/1952 22:00 +Tacoma,,SPHERE,WA,7/5/1952 16:00 +Evergreen,,CIRCLE,CO,7/7/1952 10:00 +Arlington,,DISK,TX,7/7/1952 13:00 +Arlington,GREEN,OVAL,VA,7/13/1952 21:00 +Wilmington,,DISK,CA,7/15/1952 12:00 +,,DISK,CA,7/15/1952 12:30 +Litchfield,,OTHER,PA,7/15/1952 13:00 +South Gate,,CIRCLE,CA,7/15/1952 14:00 +North Bend,,OTHER,WA,7/15/1952 18:30 +New York City,,OTHER,NY,7/15/1952 19:00 +Okolona,,OVAL,MS,7/22/1952 9:30 +Tacoma,,SPHERE,WA,7/25/1952 16:00 +Manville,,SPHERE,RI,7/30/1952 15:00 +Tampa,,OVAL,FL,8/1/1952 21:30 +Smithson's Valley,,CIGAR,TX,8/15/1952 17:00 +Prairie Grove,,DISK,AR,8/15/1952 17:30 +Hamilton,,LIGHT,OH,8/15/1952 22:15 +Philadelphia,,CIRCLE,PA,9/9/1952 20:00 +Norridgewock,,DISK,ME,9/15/1952 14:00 +Kansas City,,DISK,MO,10/1/1952 12:00 +Richland,,CIRCLE,WA,10/15/1952 21:00 +Chicago,,OTHER,IL,12/6/1952 19:00 +Camp McCoy,,CYLINDER,WI,12/30/1952 12:00 +Nebraska,,,NE,1/1/1953 0:00 +Oklahoma,,CIGAR,TX,1/1/1953 14:00 +Palm Springs,,,CA,3/15/1953 0:00 +Haverhill,,CHEVRON,MA,4/1/1953 15:00 +Cambridge,RED,SPHERE,MA,4/1/1953 18:00 +Chariton,,OTHER,IA,4/10/1953 13:00 +Los Angeles,,FIREBALL,CA,4/15/1953 12:00 +Midwest City,YELLOW,FIREBALL,OK,4/15/1953 16:00 +Jamison,,CIGAR,PA,4/30/1953 16:00 +Kingman,,,AZ,5/20/1953 8:00 +Fresno,,,CA,6/1/1953 21:00 +Roswell,,,NM,6/15/1953 0:00 +Wenatchee,,DISK,WA,6/15/1953 12:00 +Fort Worth,,SPHERE,TX,6/15/1953 13:00 +North Bend,,CIRCLE,WA,6/15/1953 18:00 +Galveston,,CIGAR,TX,6/17/1953 7:30 +Cleveland,RED,FIREBALL,OH,6/30/1953 0:00 +Kelso,,OVAL,WA,6/30/1953 15:00 +Colorado Springs,,DISK,CO,7/1/1953 5:30 +,BLUE,DISK,MT,7/4/1953 14:00 +Ogallala,,OTHER,NE,7/4/1953 21:00 +Nashville,,CYLINDER,TN,7/15/1953 13:00 +Dublin,,CONE,IN,7/17/1953 22:00 +Berkeley,,FIREBALL,MO,8/1/1953 12:00 +"San Bernadino Mtns, Church Camp",,DISK,CA,8/1/1953 14:00 +Vallejo,,LIGHT,CA,8/7/1953 21:00 +Louisville,,CIRCLE,KY,8/15/1953 11:00 +Artesia,ORANGE,OTHER,NM,8/15/1953 19:00 +Bowleys Quarters,,SPHERE,MD,8/15/1953 21:00 +Homer,,,PA,9/15/1953 14:00 +Mauriceville,,DISK,TX,10/15/1953 14:00 +New Orleans,,OVAL,LA,10/31/1953 19:00 +Cicero,,OTHER,IL,11/13/1953 20:00 +Keansburg,,CIRCLE,NJ,11/15/1953 3:00 +Pendleton,GREEN,DISK,IN,11/21/1953 22:30 +Lackland Air Force Base,,DISK,TX,11/25/1953 4:25 +Brunswick,,,ME,1/1/1954 0:00 +Lakeland,,DISK,FL,1/1/1954 1:00 +Souix City,,CIRCLE,IA,1/1/1954 22:00 +Santa Monica,,LIGHT,CT,1/15/1954 20:00 +Fairbanks,,,AK,2/1/1954 2:00 +Burney,,DISK,CA,2/15/1954 19:30 +Stanford Campus,,DISK,CA,4/1/1954 22:00 +Corvallis,,DIAMOND,OR,5/15/1954 12:00 +Quincy,,DISK,IL,5/26/1954 4:30 +Houston,,DISK,TX,6/1/1954 0:00 +Ovid,,DISK,NY,6/1/1954 6:00 +Springfield,,CYLINDER,IL,6/1/1954 8:00 +El Cerrito,,LIGHT,CA,6/1/1954 19:00 +Toledo,,DISK,OH,6/1/1954 19:00 +Norfolk,,DISK,VA,6/1/1954 20:00 +Philadelphia,,DISK,PA,6/1/1954 20:00 +Fish Canyon,,LIGHT,CA,6/1/1954 23:00 +Atlanta,,DISK,GA,6/6/1954 10:00 +Estes Park,,CIGAR,CO,6/10/1954 20:00 +Glenburn,,,ME,6/11/1954 2:00 +Palm Beach,,LIGHT,CA,6/15/1954 11:00 +Claymont,,DISK,DE,6/15/1954 11:45 +Ellington AFB,,DISK,TX,6/15/1954 16:30 +Lorton,,OTHER,VA,6/23/1954 2:00 +Langley Air Force Base,,CIRCLE,VA,6/23/1954 23:00 +Thrifty,,CIRCLE,TX,6/25/1954 3:30 +Marion,,CIRCLE,VA,6/30/1954 0:00 +Methuen,,,MA,6/30/1954 0:00 +Hawthorne,,LIGHT,CA,6/30/1954 12:00 +Pasadena,,CIRCLE,CA,6/30/1954 15:00 +St. Louis Airport,RED,OVAL,MO,7/1/1954 21:00 +Los Angeles,RED,CIRCLE,CA,7/1/1954 22:00 +Walnut Creek,,,CA,7/7/1954 20:00 +West Columbia,,FORMATION,SC,7/7/1954 22:00 +Morroco,,VARIOUS,IN,7/12/1954 17:30 +Philadelphia,,DISK,PA,7/15/1954 11:00 +Greenfield,,CIGAR,IN,7/15/1954 14:00 +Kansas City,,CHEVRON,KS,7/15/1954 21:00 +Oakdale,,DISK,NY,7/15/1954 21:00 +Bridge Hampton,,LIGHT,NY,7/15/1954 22:00 +Farmingdale,,OVAL,NY,8/1/1954 12:00 +Dyer,,TRIANGLE,IN,8/1/1954 17:00 +Canton,,DISK,PA,8/1/1954 21:00 +North Hollywood,,LIGHT,CA,8/1/1954 22:00 +Puyallup,,OVAL,WA,8/15/1954 21:00 +Geneva,,DISK,NY,9/1/1954 13:00 +Beaumont,RED,DISK,TX,9/9/1954 12:30 +Palmer Township,,OTHER,PA,9/15/1954 9:30 +Flatwoods,,CIRCLE,WV,10/1/1954 19:00 +Blanco,,OTHER,TX,10/15/1954 16:30 +Manistee,,CIRCLE,MI,10/15/1954 21:30 +Denver,,FIREBALL,CO,11/1/1954 18:30 +Thelma,,DISK,TX,11/14/1954 1:00 +Red Bank,ORANGE,CIRCLE,NJ,12/15/1954 23:10 +Yucaipa,,OVAL,CA,12/16/1954 16:50 +New York City,,LIGHT,NY,2/15/1955 19:00 +Holbrook,YELLOW,EGG,MA,5/1/1955 15:00 +Warrington,,FIREBALL,FL,5/15/1955 3:00 +Homaland,,CIRCLE,CA,6/1/1955 0:00 +Bagley,,CIRCLE,MN,6/1/1955 2:00 +Cincinnati,,DISK,OH,6/1/1955 15:29 +Martinez,,CIRCLE,CA,6/1/1955 17:00 +Clinton,,EGG,TN,6/1/1955 20:30 +Pensacola,,LIGHT,FL,6/6/1955 1:00 +South St. Paul,,DISK,MN,6/15/1955 0:00 +Terre Haute,ORANGE,CIRCLE,IN,6/15/1955 0:00 +Missouri,,LIGHT,MO,6/15/1955 4:30 +Youngstown,,,PA,6/15/1955 8:00 +Daytona Beach,,FIREBALL,FL,6/15/1955 21:00 +Rantoul,,LIGHT,IL,6/17/1955 7:00 +Beach Haven Park,,DISK,NJ,6/23/1955 7:00 +Quartz Hill,,DISK,CA,6/30/1955 0:00 +Lubbock,,CIGAR,TX,6/30/1955 13:00 +Dumas,,LIGHT,TX,6/30/1955 21:00 +Morehead City,,DISK,NC,6/30/1955 21:00 +Carnation,,DISK,WA,7/1/1955 14:00 +Dierks,,CIGAR,AR,7/1/1955 22:00 +Woodland Park,,OVAL,CO,7/15/1955 14:00 +Ringold,,LIGHT,LA,7/15/1955 22:00 +Newtown Square,,CIRCLE,PA,8/6/1955 19:00 +Independence,,FIREBALL,MO,8/8/1955 1:00 +Madisonville,,LIGHT,KY,8/14/1955 1:00 +Eagle Pass,,CIGAR,TX,8/15/1955 0:01 +Covina,,DISK,CA,8/17/1955 21:00 +Bullhead,,DISK,AZ,9/10/1955 23:00 +Mono Lake,,CIRCLE,CA,10/1/1955 22:00 +West Covina,GREEN,,CA,10/9/1955 18:00 +Rhinebeck,,LIGHT,NY,10/15/1955 20:00 +Weirton,,DISK,WV,1/1/1956 5:30 +Petaluma,,OVAL,CA,3/1/1956 13:00 +Bowie,,DISK,MD,3/20/1956 20:00 +Hampton,,SPHERE,MN,3/22/1956 17:30 +Canton,,CIGAR,OH,5/1/1956 12:00 +Pine castle AFB,,LIGHT,FL,5/15/1956 20:00 +Ada,,CIRCLE,OK,5/17/1956 10:22 +Belton,,OTHER,MO,6/1/1956 19:00 +Memphis,ORANGE,CYLINDER,TN,6/1/1956 20:00 +Elmore,,SPHERE,AL,6/5/1956 0:00 +Salt Lake City,,CIRCLE,UT,6/5/1956 0:00 +Upper Glade,,EGG,WV,6/6/1956 12:00 +Akron,,OTHER,OH,6/6/1956 22:00 +Edroy,,,TX,6/15/1956 1:00 +San Francisco,,OTHER,CA,6/15/1956 12:15 +Palo Alto,,FIREBALL,CA,6/15/1956 18:00 +Richfield Springs,,CIGAR,NY,6/15/1956 18:00 +Vista,ORANGE,CIGAR,CA,6/15/1956 19:15 +Farragut,,CIGAR,TN,6/15/1956 20:00 +Tulsa,,FLASH,OK,6/15/1956 20:00 +Salem,,DISK,NJ,6/15/1956 20:32 +New York City,,LIGHT,NY,6/15/1956 21:00 +Cincinnati,,DISK,OH,6/16/1956 13:00 +Madera,,SPHERE,CA,6/24/1956 14:00 +Willow Grove,,LIGHT,PA,6/30/1956 1:00 +Cape Girardeau,,DIAMOND,MO,6/30/1956 13:00 +New Brunswick,,DISK,NJ,6/30/1956 16:00 +Houston,,TRIANGLE,TX,6/30/1956 18:30 +Beatrice,,OTHER,NE,7/1/1956 16:00 +Wichita,,,KS,7/12/1956 19:00 +Sacramento,,DISK,CA,7/14/1956 19:30 +East Hampton,,DISK,CT,7/15/1956 0:00 +Yellowstone Park,,DISK,WY,7/15/1956 0:00 +Sugarcreek,,DISK,OH,7/15/1956 5:00 +Harvard,,,MA,8/1/1956 20:00 +Bradford,YELLOW,SPHERE,AL,8/1/1956 23:30 +Norfolk,,CIGAR,VA,9/9/1956 5:55 +Middle River,BLUE,CIRCLE,MD,9/15/1956 20:00 +Hope,,CIRCLE,AR,9/20/1956 16:00 +Greenwich,,LIGHT,CT,9/21/1956 0:00 +Newport,,RECTANGLE,NH,10/1/1956 19:00 +Edna,,CIRCLE,TX,10/10/1956 21:00 +Mt. Vernon,,DISK,IN,10/15/1956 21:30 +Aberdeen,ORANGE,CIRCLE,SD,11/15/1956 18:30 +Painsville,,RECTANGLE,OH,11/27/1956 22:00 +Columbus,,FORMATION,OH,12/1/1956 23:00 +Dallas,,,TX,1/1/1957 21:00 +Jena,,SPHERE,LA,3/5/1957 19:30 +Fort Devans,,OVAL,MA,3/7/1957 4:00 +Los Angeles,,FORMATION,CA,3/15/1957 13:00 +Los Angeles,,DISK,CA,3/15/1957 15:00 +Canton,,CIGAR,OH,5/1/1957 12:00 +Rhinebeck,,DIAMOND,NY,5/25/1957 13:00 +Union Bower are irving,,FORMATION,TX,6/1/1957 0:00 +El Paso,,DISK,TX,6/1/1957 10:00 +E. Los Angeles,,LIGHT,CA,6/1/1957 12:00 +Glens Falls,,DISK,NY,6/1/1957 20:00 +Irving,,LIGHT,TX,6/1/1957 22:00 +Hicksville,,CIRCLE,NY,6/6/1957 22:00 +Green Lake,,OVAL,MI,6/12/1957 19:00 +Livermore Falls,,DIAMOND,ME,6/14/1957 10:00 +Great Falls,,,MT,6/15/1957 0:00 +Hartford City,,DISK,IN,6/15/1957 13:00 +Walled Lake,,CYLINDER,MI,6/15/1957 23:30 +San Leandro,,LIGHT,CA,6/19/1957 21:00 +Lubbock,,TRIANGLE,TX,6/21/1957 17:00 +Norwalk,,DISK,CA,6/21/1957 19:30 +Arctic,,CIGAR,AK,6/30/1957 0:00 +Dallas,,OTHER,TX,6/30/1957 0:00 +Birmingham,,,MI,6/30/1957 3:30 +New York City,,TEARDROP,NY,6/30/1957 12:00 +Burlington,,CIRCLE,IA,6/30/1957 13:00 +Russellville,ORANGE,SPHERE,AR,6/30/1957 18:00 +Barker,,DISK,NY,6/30/1957 20:00 +Albany,,CIRCLE,CA,6/30/1957 21:00 +Mullens,,OVAL,WV,7/1/1957 13:00 +Talcott,,SPHERE,WV,7/1/1957 13:00 +Del Rio,,CIGAR,TX,7/1/1957 20:00 +Phillipsburg,,CIGAR,NJ,7/10/1957 20:00 +Baltimore,,OTHER,MD,7/10/1957 22:00 +Chesapeake,,DISK,OH,7/13/1957 9:00 +Temple City,,LIGHT,CA,7/15/1957 12:00 +Houston,,DIAMOND,TX,7/15/1957 13:00 +Williamsport,,CIGAR,PA,7/15/1957 14:00 +Long Beach,,DISK,CA,7/15/1957 15:00 +Denver,,LIGHT,CO,7/15/1957 22:00 +Kresgeville,,,PA,7/15/1957 22:00 +Salt Lake City,,DISK,UT,7/15/1957 22:00 +Kansas City,RED,LIGHT,MO,7/15/1957 23:30 +Arco,,DISK,ID,8/1/1957 12:00 +Vandalia,,DISK,OH,8/3/1957 20:00 +Bainbridge,,FIREBALL,MD,8/4/1957 2:00 +Indianapolis,,LIGHT,IN,8/7/1957 1:00 +San Diego,,DISK,CA,8/9/1957 0:30 +Ticonderoga,,DISK,NY,8/14/1957 16:00 +California,,FIREBALL,CA,8/14/1957 21:00 +Longview,,TRIANGLE,WA,8/15/1957 1:00 +Ludlow,,CIGAR,MA,8/15/1957 1:00 +Exeter,,DISK,NH,8/15/1957 21:00 +Auburn,,,MA,8/15/1957 21:30 +Smith's Ferry,,DISK,ID,8/16/1957 21:30 +Huntington,,TRIANGLE,IN,8/17/1957 23:00 +Graham,,SPHERE,TX,9/1/1957 16:00 +Brecksville,,CIRCLE,OH,9/1/1957 23:00 +Los Gatos,,DISK,CA,9/5/1957 17:30 +St. Paul,,DISK,MN,9/10/1957 19:15 +El Paso,,DISK,TX,9/15/1957 4:00 +Lake Jackson,,FIREBALL,TX,9/15/1957 21:30 +Tacoma,,DISK,WA,9/15/1957 23:00 +Hopkinsville,,CIGAR,KY,9/20/1957 0:00 +Nelchina,,,AK,10/1/1957 16:00 +Martelle,,CIGAR,IA,10/1/1957 20:30 +Paterson,,DISK,NJ,10/1/1957 21:00 +Northeast Cape AFS,,,AK,10/1/1957 22:00 +St. Paul,,LIGHT,MN,10/5/1957 19:00 +England,,DISK,AR,10/15/1957 1:45 +New York City,,,NY,10/15/1957 2:00 +Houston,,LIGHT,TX,10/15/1957 20:30 +Commerce City,,FIREBALL,CO,10/15/1957 22:00 +Teaneck,,CYLINDER,NJ,11/10/1957 17:00 +Corpus Christi,,LIGHT,TX,11/10/1957 19:00 +St Lawrence Island,,OTHER,AK,11/10/1957 20:00 +Madison,,CIGAR,WI,12/28/1957 0:00 +Madison,,CIGAR,WI,12/28/1957 0:00 +Pep,,FIREBALL,TX,1/1/1958 22:00 +Howell,,CIGAR,MI,2/15/1958 2:30 +Winooski,,OVAL,VT,4/17/1958 21:30 +Winooski,,OVAL,VT,4/17/1958 21:30 +Palmer Park,,SPHERE,MD,5/5/1958 20:00 +North Hollywood,,CIRCLE,CA,5/7/1958 10:00 +Cincinnati,,DIAMOND,OH,5/16/1958 0:00 +North Hollywood,,SPHERE,CA,5/20/1958 0:00 +Middlesex,,CIRCLE,NC,6/1/1958 2:00 +San Francisco,,OVAL,CA,6/1/1958 19:00 +New York City,,OVAL,NY,6/1/1958 21:00 +Timpson,,LIGHT,TX,6/1/1958 22:00 +Grand Island,,CIRCLE,NE,6/1/1958 22:30 +Cincinnati,,DIAMOND,OH,6/6/1958 9:30 +Baldwin Park,,CIGAR,CA,6/10/1958 12:00 +Florala ?,,DISK,AL,6/15/1958 0:00 +Mountain View,,OTHER,MO,6/15/1958 0:00 +Coffeyville,,CIGAR,KS,6/15/1958 15:00 +Yonkers,,LIGHT,NY,6/15/1958 15:00 +Menlo Park,,LIGHT,CA,6/15/1958 19:15 +Houston,,DISK,TX,6/15/1958 20:00 +Oklahoma,,LIGHT,OK,6/15/1958 22:00 +Pawnee,,,OK,6/15/1958 23:00 +Pawnee,,LIGHT,OK,6/15/1958 23:00 +Silverdale,,CYLINDER,WA,6/30/1958 12:00 +Conyers,,TEARDROP,GA,6/30/1958 13:00 +Camden,,DISK,ME,6/30/1958 16:00 +Fort Worth,,DISK,TX,6/30/1958 20:00 +Durham,,LIGHT,KS,6/30/1958 21:30 +Thibodaux,,FIREBALL,LA,6/30/1958 23:00 +Osmond,,,NE,7/1/1958 4:48 +Muncie,,,IN,7/1/1958 21:00 +Cheektowaga,,TEARDROP,NY,7/10/1958 9:00 +Woodland Hills,,LIGHT,FL,7/10/1958 17:00 +no data,,DISK,UT,7/11/1958 23:00 +Novato,,DISK,CA,7/15/1958 17:30 +Rock Springs,,DISK,WY,7/20/1958 21:30 +Randallstown,,TRIANGLE,MD,7/30/1958 22:00 +Derby,,DISK,CT,8/1/1958 19:00 +Scarborough,,DISK,ME,8/8/1958 15:00 +Bellevue,,LIGHT,WA,8/10/1958 21:30 +Monroe,,OVAL,GA,8/15/1958 14:00 +Fargo,,DISK,ND,9/1/1958 20:00 +Perry,RED,TRIANGLE,IA,9/1/1958 21:00 +Arthur,,,ND,9/7/1958 19:00 +Ashland,,CIRCLE,KY,9/14/1958 19:30 +Davis Jct.,,FIREBALL,IL,9/20/1958 22:20 +Phelps County,,DISK,NE,9/25/1958 19:00 +St. Paul,,OTHER,MN,10/20/1958 21:00 +Terrebonne,,,OR,10/25/1958 20:00 +Riverside,,LIGHT,IL,10/30/1958 1:00 +Greenville,,DISK,RI,11/15/1958 22:30 +Milwaukee,,DISK,WI,11/25/1958 23:00 +South San Francisco,,DISK,CA,1/10/1959 18:30 +New York City,,,NY,3/1/1959 23:00 +Miami,,SPHERE,FL,4/1/1959 1:00 +Mendham,,DISK,NJ,4/15/1959 21:00 +Baden,,CYLINDER,PA,4/26/1959 19:00 +Columbus,,LIGHT,OH,5/1/1959 18:30 +El Sobrante,YELLOW,CIRCLE,CA,5/5/1959 9:00 +Evanston,,,IL,5/15/1959 4:00 +Cincinnati,,DISK,OH,5/30/1959 17:00 +Wabash River,,CIRCLE,IN,6/1/1959 8:00 +Nashville,,,TX,6/1/1959 12:00 +Orange,,CYLINDER,CT,6/1/1959 12:00 +Sidney,,LIGHT,OH,6/1/1959 18:30 +Nelson,,CIGAR,NE,6/1/1959 22:00 +Arvada,,CIRCLE,CO,6/5/1959 13:00 +Monroe,,,MI,6/10/1959 13:00 +Missoula,,,MT,6/15/1959 1:00 +Minneapolis,,OTHER,MN,6/15/1959 8:30 +Campbell,,DISK,CA,6/15/1959 10:00 +Buffalo,,LIGHT,WV,6/15/1959 23:00 +Minneapolis,,FORMATION,MN,6/23/1959 22:00 +Globe,,RECTANGLE,AZ,6/28/1959 13:00 +Campbellsport,,CIRCLE,WI,6/30/1959 14:00 +New York City,,OVAL,NY,6/30/1959 20:00 +Phoenix,,DISK,AZ,6/30/1959 21:00 +Strathmore,,DISK,CA,7/1/1959 1:00 +Castle Rock,,CIGAR,WA,7/1/1959 20:00 +Gardner Lake,,OVAL,ME,7/4/1959 20:00 +Long Beach,,LIGHT,CA,7/7/1959 23:00 +Nort Sutton,,,NH,7/15/1959 12:00 +New Albany,,CIGAR,IN,7/15/1959 23:00 +Worcester,,OTHER,MA,7/16/1959 18:00 +Salem,,DISK,OH,7/19/1959 1:00 +Fort Lauderdale,,LIGHT,FL,7/20/1959 21:30 +Allendale,,LIGHT,KY,7/22/1959 14:30 +Golden,,DISK,TX,8/1/1959 18:00 +Reseda,,DISK,CA,8/10/1959 1:30 +Troy,,,NY,8/13/1959 21:00 +Jewett,,LIGHT,NY,8/13/1959 22:30 +Roswell,,,NM,8/15/1959 15:00 +Mohave,,LIGHT,CA,8/15/1959 21:00 +Lake Bonita,,FIREBALL,NM,8/20/1959 3:00 +Fallon,,OVAL,NV,9/15/1959 0:00 +Goldfield,,LIGHT,NV,9/15/1959 1:00 +Dayton,,DISK,OH,9/15/1959 11:30 +New York City,,OTHER,NY,10/1/1959 16:00 +Jacksonville,,,IL,10/1/1959 19:00 +Duluth,,,WI,10/1/1959 20:45 +Duluth,,,WI,10/5/1959 18:30 +Rock Hill,,TRIANGLE,SC,10/5/1959 19:00 +Marysville,,OTHER,WA,10/15/1959 0:00 +Four States,RED,SPHERE,WV,10/16/1959 22:30 +Starke,,SPHERE,FL,11/11/1959 20:00 +Lafayette,,CIRCLE,IN,11/15/1959 1:30 +Los Angeles,,DISK,CA,12/20/1959 18:30 +Tehachapi,,FIREBALL,CA,12/30/1959 18:35 +Del Mar,,,CA,12/30/1959 23:00 +Bristol,,DISK,VA,1/15/1960 22:00 +St. Paul,,CIGAR,MN,2/1/1960 22:15 +Hartwell,,CIGAR,GA,2/1/1960 23:00 +Winston-Salem,,CIGAR,NC,2/18/1960 21:00 +Houston,,TRIANGLE,TX,3/12/1960 23:00 +Houston,,OTHER,TX,4/1/1960 21:00 +Tucson,,LIGHT,AZ,5/1/1960 20:00 +Schenectady,,,NY,5/15/1960 0:00 +Terre Haute,,OTHER,IN,5/15/1960 18:00 +Great Bend,,OTHER,KS,6/1/1960 0:00 +Salt Lake City,,DISK,UT,6/1/1960 0:00 +Seattle,GREEN,OVAL,WA,6/1/1960 0:00 +Yakima,,OTHER,WA,6/1/1960 2:30 +Palmdale,,DISK,CA,6/1/1960 12:00 +Sacramento,,CIGAR,CA,6/1/1960 12:00 +Chadd's Ford,,CYLINDER,PA,6/1/1960 13:00 +New Jersey,,CIGAR,NJ,6/1/1960 13:00 +Watervliet,,DISK,MI,6/1/1960 18:00 +Vassalboro,,OVAL,ME,6/1/1960 20:00 +Silverfdale,,VARIOUS,WA,6/1/1960 22:00 +Santa Ana,,DISK,CA,6/3/1960 18:00 +Cape Canaveral,,FIREBALL,FL,6/6/1960 12:00 +Philadelphia,,SPHERE,PA,6/10/1960 18:00 +Barstow-Baker,,DISK,CA,6/11/1960 2:00 +Great Falls,,FORMATION,MT,6/12/1960 14:30 +Quincy,,DISK,CA,6/13/1960 2:00 +Baltimore,,OTHER,MD,6/15/1960 21:00 +Kansas City,,DISK,KS,6/15/1960 21:45 +Chicago,,OVAL,IL,6/18/1960 23:00 +East Bernstadt,,DISK,KY,6/21/1960 14:00 +Albertson,,,NY,6/30/1960 0:00 +Litchfield,,OTHER,PA,6/30/1960 12:00 +Portland,,DISK,OR,6/30/1960 20:30 +,,DISK,NV,7/1/1960 12:00 +Stevens,,OTHER,MN,7/1/1960 12:00 +Portland,,,OR,7/1/1960 20:00 +New Berlin,,CIRCLE,WI,7/4/1960 21:30 +Springdale,,FORMATION,AR,7/7/1960 22:00 +La Verne,ORANGE YELLOW,CIRCLE,CA,7/15/1960 1:00 +Pacific Coast Highway,,,CA,7/15/1960 10:00 +Goldsboro,,SPHERE,NC,7/15/1960 16:00 +Amarillo,,DIAMOND,TX,7/15/1960 21:00 +Upland,,CIRCLE,CA,7/30/1960 21:00 +Allentown,,CYLINDER,PA,8/1/1960 12:00 +Taftville,,DISK,CT,8/1/1960 15:00 +Boston,,DISK,MA,8/1/1960 18:00 +Carteret,,CIGAR,NJ,8/1/1960 18:00 +Crystal,,CIRCLE,WI,8/1/1960 23:00 +Cherokee,,FIREBALL,NC,8/2/1960 23:00 +Belmont,,CIRCLE,NY,8/10/1960 1:00 +Watchung,RED,CIGAR,NJ,8/10/1960 18:00 +Cottonwood,,,WA,8/13/1960 19:00 +Saugus,,CIRCLE,MA,8/15/1960 15:00 +Framingham,,OVAL,MA,8/15/1960 16:00 +Long Beach,,OTHER,CA,8/17/1960 21:10 +Pittsburgh,,SPHERE,PA,8/20/1960 21:30 +Dickinson,,CIRCLE,ND,8/28/1960 21:00 +Buffalo,,OVAL,NY,9/5/1960 21:00 +Wichita,,OVAL,KS,9/10/1960 10:00 +Kingsport,ORANGE,CIRCLE,TN,9/15/1960 19:00 +Seattle,,DISK,WA,9/15/1960 20:30 +Susanville,,,CA,9/15/1960 21:00 +Kaneohe,,LIGHT,HI,10/10/1960 20:00 +Burnsville,,,MN,10/18/1960 0:00 +Westbury,,DISK,NY,11/2/1960 18:00 +Sumner,,SPHERE,WA,11/11/1960 2:00 +Kansas City,,,KS,11/15/1960 22:00 +Santa Clara,,CIRCLE,CA,1/1/1961 12:00 +Kendallville,,CIRCLE,IN,1/1/1961 13:00 +Lancaster,,DISK,CA,2/2/1961 1:00 +Panhandle,,DIAMOND,TX,2/22/1961 20:00 +McGuire AFB,RED GREEN,SPHERE,NJ,3/12/1961 21:00 +New York City,,CROSS,NY,3/29/1961 0:00 +Shenandoah,,LIGHT,PA,4/1/1961 20:00 +Altus,,CIRCLE,OK,4/15/1961 21:00 +Auburn,,CIGAR,WA,5/1/1961 22:00 +Parris Island,,VARIOUS,SC,5/15/1961 4:00 +Alpine,,DISK,UT,6/1/1961 0:00 +no data,,TEARDROP,NY,6/1/1961 18:00 +Opa Locka,,OTHER,FL,6/1/1961 18:00 +Carrollton,,,TX,6/10/1961 19:30 +Huntsville,,TRIANGLE,AL,6/15/1961 12:00 +Richardson,GREEN,LIGHT,TX,6/15/1961 15:00 +Frederick,,LIGHT,OK,6/15/1961 20:30 +Chicago,,DISK,IL,6/17/1961 19:00 +Webster Groves,,CIRCLE,MO,6/20/1961 0:00 +Dallas,,DISK,GA,6/22/1961 0:00 +Greensboro,,CIGAR,NC,6/30/1961 8:00 +Orlando,,DISK,FL,6/30/1961 15:00 +La Mirada,ORANGE,CIGAR,CA,6/30/1961 19:00 +Rotan,,SPHERE,TX,6/30/1961 22:00 +Lawrenceville,,CIRCLE,GA,7/1/1961 21:00 +West Haven,,LIGHT,CT,7/8/1961 21:00 +Sapulpa,,,OK,7/15/1961 1:00 +Gettysburg,,CIGAR,PA,7/15/1961 11:00 +Mount Hope,,,WV,7/15/1961 23:00 +Newberg,,EGG,OR,7/15/1961 23:30 +Arlington Heights,,DISK,IL,7/16/1961 19:50 +Mill Valley,,DISK,CA,8/1/1961 0:00 +Glenshaw,,DISK,PA,8/5/1961 21:15 +Pittsburgh,,SPHERE,PA,8/5/1961 23:00 +Palatine,ORANGE,DISK,IL,8/9/1961 20:00 +New York City,,DISK,NY,8/15/1961 19:00 +Evendale,,,OH,8/30/1961 0:00 +Fort Benning,,DISK,GA,9/1/1961 18:46 +Toledo,,LIGHT,OH,9/1/1961 20:30 +Wahoo,,EGG,NE,9/15/1961 20:00 +Toledo,,SPHERE,OH,10/1/1961 3:00 +Tulsa,,DISK,OK,10/1/1961 3:30 +Nashville,,DISK,TN,10/1/1961 19:00 +Graham,,TRIANGLE,NC,10/1/1961 22:00 +Bristol,,SPHERE,TN,10/10/1961 19:00 +Indialantic,,OVAL,FL,10/15/1961 18:00 +Bakersfield,RED,CIRCLE,CA,11/11/1961 23:00 +Leesville,,FLASH,SC,11/26/1961 10:00 +Bartow,,SPHERE,FL,12/17/1961 21:00 +Forestburg,,SPHERE,TX,12/26/1961 20:00 +Key West,,SPHERE,FL,1/1/1962 8:00 +Fayetteville,,CIRCLE,NC,2/19/1962 21:00 +Snohomish,,DIAMOND,WA,3/1/1962 8:00 +Wendover,,DISK,UT,3/3/1962 3:00 +Clayton,,,NC,3/8/1962 21:00 +Camden,,SPHERE,OH,3/15/1962 10:00 +Shenandoah,YELLOW,LIGHT,PA,3/31/1962 21:00 +Huntingdon,GREEN,,GA,4/15/1962 21:00 +Acoma,,CYLINDER,NM,5/15/1962 21:00 +Toms River,,DISK,NJ,5/15/1962 21:00 +Pittsburg,RED,VARIOUS,OK,5/15/1962 21:30 +Whitehouse,,LIGHT,NJ,5/20/1962 23:00 +Garland,,DISK,TX,5/30/1962 20:00 +Bartlesville,,,OK,6/1/1962 0:00 +Charleston,,DISK,SC,6/1/1962 12:00 +Ellwood City,,DISK,PA,6/1/1962 12:00 +Liberty Homes,,SPHERE,SC,6/1/1962 12:00 +San Francisco,,CIRCLE,CA,6/1/1962 19:00 +Aurora,,LIGHT,CO,6/1/1962 20:00 +Benton,,DISK,IL,6/1/1962 21:30 +Lempster,,CIRCLE,NH,6/14/1962 19:45 +Castle Rock,,SPHERE,WA,6/15/1962 0:00 +Lawrence County,,DISK,IL,6/15/1962 19:30 +Booneville,,DISK,NC,6/15/1962 20:00 +IL,,DISK,IL,6/15/1962 21:30 +Joyce,,OTHER,WA,6/16/1962 23:30 +Ossining,,,NY,6/25/1962 2:00 +Orlando,,SPHERE,FL,6/30/1962 0:00 +Granada Hills,,SPHERE,CA,6/30/1962 2:00 +Cadiz,,,CA,6/30/1962 7:00 +Royal Oak,,DISK,MI,6/30/1962 17:30 +Bethpage,,TRIANGLE,NY,6/30/1962 18:00 +Bay Area,,DISK,CA,6/30/1962 19:00 +Miami,,OVAL,FL,7/1/1962 0:00 +Chicago,,DISK,IL,7/1/1962 22:00 +Seattle,,OTHER,WA,7/1/1962 22:00 +Spearman,,,TX,7/4/1962 21:00 +Lindsay,,CYLINDER,OK,7/7/1962 2:00 +Tannersville,,LIGHT,NY,7/10/1962 10:00 +Avon-by-the-Sea,ORANGE,VARIOUS,NJ,7/15/1962 2:00 +Chicago,,OTHER,IL,7/15/1962 19:00 +East Windsor,ORANGE,CIRCLE,CT,7/15/1962 21:00 +Frankfort,,OVAL,MI,7/15/1962 21:00 +Mentor,,DISK,OH,7/15/1962 21:00 +Sunrise Beach,,CYLINDER,MO,7/15/1962 23:00 +Burkesville,,DISK,KY,7/20/1962 18:00 +Springdale,,LIGHT,AR,7/20/1962 21:00 +Rensselaer,,OTHER,NY,7/24/1962 12:00 +Savannah,,DISK,GA,8/1/1962 15:00 +Beaverton,,TRIANGLE,OR,8/1/1962 19:30 +Ship's Bottom,,,NJ,8/1/1962 23:00 +Lodi,RED,OTHER,OH,8/8/1962 14:00 +Wellington,,,KS,8/10/1962 15:00 +Denver,,DISK,CO,8/15/1962 17:30 +Nenana,,OVAL,AK,8/15/1962 19:00 +Ann Arbor,,DISK,MI,8/15/1962 20:00 +Haverhill,,DISK,MA,8/16/1962 12:00 +San Juan Island,,DISK,WA,9/1/1962 12:00 +Seattle,,CIRCLE,WA,9/1/1962 12:00 +Hopewell,,LIGHT,VA,9/1/1962 15:00 +St. Louis,,SPHERE,MO,9/4/1962 15:30 +Wisconsin,ORANGE,DISK,WI,9/14/1962 17:30 +Severn,,,NC,9/15/1962 14:00 +Island Beach State Park,,DISK,NJ,9/15/1962 18:00 +Savannah,,OVAL,GA,9/29/1962 22:00 +Ft. Lee,,,VA,10/15/1962 0:00 +Chicago,,OTHER,IL,10/15/1962 22:30 +Valparaiso,,CIGAR,FL,11/1/1962 18:00 +Pharr,,CHEVRON,TX,11/9/1962 20:30 +Alameda Naval Air Station,,,CA,11/15/1962 14:00 +Runge,,SPHERE,TX,11/15/1962 21:00 +New York City,,CIGAR,NY,12/21/1962 23:21 +Markleville,,DISK,CA,1/1/1963 10:00 +Helena,,DIAMOND,MT,1/1/1963 22:00 +Holyoke,,DISK,MA,1/20/1963 22:00 +Cape May Court House,,,NJ,2/21/1963 21:30 +Husten,,,TX,2/23/1963 11:30 +Normandy Park,,CYLINDER,WA,3/15/1963 13:00 +Great Lakes,,DISK,IL,3/15/1963 17:30 +Tucson,,TRIANGLE,AZ,4/1/1963 7:00 +Vero Beach,,DISK,FL,4/7/1963 20:00 +Russellton,,SPHERE,PA,4/10/1963 0:00 +Lompoc,,DISK,CA,4/15/1963 19:30 +Alexandria,RED,LIGHT,VA,4/20/1963 17:00 +Lynn,,DISK,MA,5/7/1963 3:00 +New York City,,OTHER,NY,5/15/1963 7:00 +Towson,,OVAL,MD,5/15/1963 14:00 +Tishimingo,,VARIOUS,OK,5/15/1963 22:00 +Emporia,,RECTANGLE,KS,5/30/1963 17:30 +Cocoa,,,FL,6/1/1963 0:00 +Houston,,,TX,6/1/1963 0:00 +San Francisco,,DISK,CA,6/1/1963 0:00 +St. Louis County,,CIGAR,MO,6/1/1963 2:00 +Williamsport,RED,OTHER,MD,6/1/1963 8:00 +Gonzales,,CIGAR,TX,6/1/1963 8:30 +Albemarle,,DISK,NC,6/1/1963 11:00 +Houston,,CIGAR,TX,6/1/1963 12:00 +Kirksey,,TRIANGLE,KY,6/1/1963 13:00 +Waukegan,,FORMATION,IL,6/1/1963 16:00 +Royal Oak,RED,TRIANGLE,MI,6/1/1963 18:00 +Laguna Beach,,LIGHT,CA,6/1/1963 20:00 +Rodeo,,SPHERE,CA,6/1/1963 21:00 +Big Kandiyohi Lake,,LIGHT,MN,6/1/1963 22:00 +Colorado Springs,,DISK,CO,6/1/1963 23:00 +Fort Collins,,CIGAR,CO,6/10/1963 3:00 +Menasha,,CIRCLE,WI,6/11/1963 11:00 +Hollywood,,DISK,FL,6/15/1963 1:00 +Milford,,OTHER,CT,6/15/1963 3:00 +Washougal,,,WA,6/15/1963 3:33 +North St. Paul,,DISK,MN,6/15/1963 11:30 +Jonesboro,,CIGAR,AR,6/15/1963 18:00 +Sacramento,,CYLINDER,CA,6/15/1963 18:15 +Newaygo,,SPHERE,MI,6/15/1963 19:00 +Trion,,CIRCLE,GA,6/15/1963 21:00 +Newburgh,,OTHER,NY,6/15/1963 22:00 +Mansfield,,LIGHT,CT,6/27/1963 19:00 +Johnstown,,RECTANGLE,PA,6/30/1963 0:00 +Zebulon,,OTHER,NC,6/30/1963 0:00 +Newark,,DISK,TX,6/30/1963 6:00 +Salt Lake City,,DISK,UT,6/30/1963 13:00 +Anaheim,,DISK,CA,6/30/1963 14:00 +New York City,,OVAL,NY,7/1/1963 16:00 +Jonesboro,,DISK,AR,7/1/1963 18:00 +Lincoln,,OTHER,MO,7/1/1963 21:00 +Lincoln,,OTHER,MO,7/1/1963 21:12 +Tucson,,OTHER,AZ,7/2/1963 19:30 +East Vassalboro,ORANGE,TRIANGLE,ME,7/3/1963 21:00 +Evanston,,DISK,IL,7/10/1963 20:00 +Albert Lea,BLUE,OVAL,MN,7/11/1963 20:00 +Hornell,,,NY,7/14/1963 21:30 +Mantua,,CIRCLE,NJ,7/15/1963 0:00 +Weingarten,,DISK,MO,7/15/1963 0:00 +Kimberling City,,DISK,MO,7/15/1963 10:30 +Great Lakes,,DISK,IL,7/15/1963 18:00 +Great Lakes,,CIRCLE,IL,7/15/1963 21:00 +Virginia Beach,,CIRCLE,VA,7/15/1963 21:00 +Oklahoma City,,LIGHT,OK,7/15/1963 22:00 +Santa Ana,,LIGHT,CA,7/15/1963 22:30 +Portland,,SPHERE,OR,7/15/1963 23:00 +Boston,,TRIANGLE,MA,7/17/1963 9:00 +Tupelo,,DISK,MS,7/20/1963 19:30 +Amsterdam,,DISK,NY,8/1/1963 2:00 +Compton,,LIGHT,CA,8/1/1963 22:00 +Wenatchee,,FORMATION,WA,8/1/1963 22:00 +Fresno,,OTHER,CA,8/10/1963 22:00 +Riverside,,DISK,OH,8/12/1963 21:00 +Claycomo,,,MO,8/15/1963 6:00 +Camas,,,WA,8/20/1963 2:30 +Broadalbin,,LIGHT,NY,8/23/1963 22:00 +Belchertown,BLUE,,MA,8/25/1963 22:00 +New York City,,CIRCLE,NY,10/3/1963 21:00 +Millington,,DISK,NJ,10/4/1963 0:00 +Prince George,,DISK,VA,10/4/1963 19:10 +Laurel,,OVAL,MS,10/9/1963 21:30 +Danville,,DISK,IN,10/20/1963 19:00 +Engelwood Cliffs,,,NJ,11/1/1963 0:00 +Rome,,OVAL,GA,12/10/1963 23:00 +El Cerrito,,FIREBALL,CA,1/10/1964 20:00 +Omaha,,SPHERE,NE,1/25/1964 20:30 +Bristow,,,OK,3/1/1964 20:00 +Cherry Valley,,CIRCLE,CA,3/29/1964 21:00 +Fries,,CYLINDER,VA,3/30/1964 13:00 +Miami,,OTHER,FL,4/3/1964 18:00 +Valley Station,,OTHER,KY,4/15/1964 19:00 +Bancroft,,LIGHT,MI,4/15/1964 20:30 +Seattle,,DISK,WA,4/15/1964 22:00 +Orangevale,,LIGHT,CA,5/1/1964 22:00 +Rangely,,,CO,5/5/1964 1:00 +Pineville,,,KY,5/10/1964 2:00 +Hardwick,,DISK,VT,5/15/1964 10:15 +Texarkana,,DISK,AR,5/15/1964 12:00 +Covina,,CIGAR,CA,5/15/1964 15:00 +Covina,,CIGAR,CA,5/15/1964 15:00 +Walden,,CIGAR,VT,5/15/1964 19:30 +Cave Springs,,,GA,5/16/1964 8:00 +Haltom City,,LIGHT,TX,6/1/1964 4:30 +Sallisaw,,LIGHT,OK,6/1/1964 15:00 +Butler,,,PA,6/1/1964 16:00 +Los Angeles,,DISK,CA,6/1/1964 20:00 +North Yakima,BLUE,CIRCLE,WA,6/1/1964 21:30 +New York City,,DISK,NY,6/5/1964 10:00 +Baltimore,,SPHERE,MD,6/9/1964 21:00 +Montrose,BLUE,LIGHT,CO,6/10/1964 3:00 +Chicago,ORANGE,CIRCLE,IL,6/10/1964 22:00 +Auburndale,,CIRCLE,MA,6/11/1964 20:15 +Dedham,,CIRCLE,MA,6/11/1964 21:40 +Reno,,DISK,NV,6/14/1964 13:00 +Winnamucca,,LIGHT,NV,6/15/1964 1:00 +Miami,,LIGHT,FL,6/15/1964 6:00 +Great Falls,,SPHERE,MT,6/15/1964 11:00 +Tulsa,,CIRCLE,OK,6/15/1964 13:00 +Milan,RED,SPHERE,TN,6/15/1964 21:00 +Anchorville,,DISK,MI,6/15/1964 21:30 +Marble Falls,,LIGHT,TX,6/15/1964 22:00 +Destrehan,,LIGHT,LA,6/15/1964 23:00 +Tucson,,TRIANGLE,AZ,6/19/1964 20:00 +Thompson,,DISK,GA,6/22/1964 14:00 +Alexandria,RED,DISK,VA,6/28/1964 21:00 +Atlanta,,VARIOUS,GA,6/29/1964 21:50 +Ontonagon,,RECTANGLE,MI,6/30/1964 1:00 +Hoquiam,,OTHER,WA,6/30/1964 14:00 +Ft. Wayne,,TRIANGLE,IN,6/30/1964 18:00 +Lewistown,,OTHER,IL,6/30/1964 21:30 +Paloma,ORANGE,OTHER,CA,6/30/1964 22:00 +Laurel Springs,,OTHER,NJ,7/1/1964 12:00 +Omaha,,DISK,NE,7/1/1964 20:00 +Wautoma,,LIGHT,WI,7/7/1964 21:30 +no data,,LIGHT,PA,7/8/1964 0:00 +Chicago,,DISK,IL,7/9/1964 22:30 +Defiance,,LIGHT,OH,7/10/1964 22:00 +Drew,,CIRCLE,OR,7/12/1964 12:00 +Hamilton,RED,OVAL,MT,7/14/1964 13:00 +Dayton,,DISK,OH,7/15/1964 8:00 +Brunswick,,FORMATION,GA,7/15/1964 12:00 +Washington,,OTHER,MO,7/15/1964 15:00 +Fishersville,,FIREBALL,VA,7/15/1964 19:00 +Las Vegas,,CIRCLE,NV,7/15/1964 23:00 +Rosebush,,,MI,7/16/1964 1:00 +New Jersey,,LIGHT,NJ,7/20/1964 20:00 +Holden,,LIGHT,MA,7/31/1964 22:00 +Stonington,,DISK,CT,8/1/1964 6:00 +Chicago,,FORMATION,IL,8/1/1964 9:30 +Duquesne,,CIGAR,PA,8/1/1964 15:00 +Samuel-,,FIREBALL,KY,8/1/1964 19:30 +Charlestown,,LIGHT,RI,8/1/1964 20:00 +Morro Bay,,TRIANGLE,CA,8/1/1964 21:00 +Boston,,CIRCLE,MA,8/4/1964 9:30 +Bonfield,,DIAMOND,IL,8/12/1964 0:00 +Taylorville,,DISK,IL,8/13/1964 23:30 +Portland,,CIRCLE,ME,8/14/1964 23:00 +St. Louis,,FIREBALL,MO,8/15/1964 20:00 +Atlantic Ocean,,CIGAR,VA,8/15/1964 21:00 +Los Angeles,,CROSS,CA,8/20/1964 13:00 +St. Petersburg,,,FL,8/20/1964 22:45 +Florence,,DISK,AL,8/22/1964 18:40 +Oxen Hill,,OVAL,MD,9/1/1964 20:00 +East Hartford,,FIREBALL,CT,9/1/1964 20:30 +New York City,,DISK,NY,9/5/1964 21:00 +Spartanburg,,DISK,SC,9/10/1964 22:00 +Crescent Junction,,DISK,UT,9/15/1964 2:00 +Arcade,,DISK,NY,9/15/1964 20:00 +Yakima,,DISK,WA,9/15/1964 21:00 +Cowpens,,DISK,SC,9/15/1964 22:00 +Monterey,,DISK,CA,9/15/1964 22:30 +Chicago,,SPHERE,IL,9/20/1964 20:00 +Mt. Prospect,,DISK,IL,9/25/1964 19:00 +Mt. Prospect,,DISK,IL,9/25/1964 19:00 +Wilmington,,,DE,9/30/1964 0:00 +Terrebonne,,CIGAR,OR,10/5/1964 16:45 +Bettendorf,,OTHER,TX,10/14/1964 2:00 +Columbus,,CIGAR,OH,10/15/1964 0:00 +New Iberia,,CIRCLE,LA,10/20/1964 12:00 +Detroit,,CIRCLE,MI,10/20/1964 21:00 +Cotullia,,SPHERE,TX,11/1/1964 18:00 +Glen Allen,,DISK,VA,11/12/1964 20:00 +Memphis,,CIRCLE,TN,11/15/1964 22:00 +Memphis,,SPHERE,TN,11/15/1964 22:00 +Memphis,,CIRCLE,TN,11/22/1964 22:00 +Mokena,,LIGHT,IL,1/1/1965 17:00 +Conway,,LIGHT,AR,1/1/1965 20:00 +St. Ansgar,,FIREBALL,IA,1/1/1965 20:00 +Indianapolis,,CIRCLE,IN,2/1/1965 7:30 +Seattle,,SPHERE,WA,2/2/1965 6:00 +Chicago,,OVAL,IL,2/15/1965 17:00 +Metairie,,CIRCLE,LA,2/16/1965 21:00 +Jonesboro,BLUE,DISK,GA,3/15/1965 14:00 +Waterville,,EGG,ME,3/15/1965 17:00 +Austin,,,TX,4/1/1965 5:30 +Schertz,,DISK,TX,4/1/1965 15:30 +Nesquehoning,,TRIANGLE,PA,4/1/1965 22:30 +Daytona Beach,,CIGAR,FL,4/14/1965 23:00 +Tampa,,DISK,FL,4/15/1965 12:00 +Orlando,,DISK,FL,4/20/1965 19:00 +Newtown Square,,TRIANGLE,PA,4/28/1965 0:00 +Guernsey,,SPHERE,WY,5/1/1965 13:00 +York County,,OVAL,PA,5/1/1965 15:30 +Appelton,,DISK,WI,5/1/1965 16:30 +St. Louis County,,CIGAR,MO,5/5/1965 5:35 +Scotland,,OTHER,AR,5/5/1965 17:00 +Massapequa Park,,OVAL,NY,5/12/1965 21:00 +Burlington,,DISK,WA,5/15/1965 7:30 +Gadsden,,SPHERE,AL,5/15/1965 14:00 +La Mesa,,DISK,CA,5/15/1965 15:00 +Shasta Lake,,DISK,CA,5/31/1965 13:00 +Norman,,DISK,OK,6/1/1965 0:00 +St. Louis,,SPHERE,MO,6/1/1965 1:00 +Deming,,DISK,NM,6/1/1965 5:00 +Laconia,ORANGE,CYLINDER,NH,6/1/1965 9:00 +Marathon,,DISK,WI,6/1/1965 11:00 +Knobnoster,,OVAL,MO,6/1/1965 12:00 +Long Beach,,CYLINDER,CA,6/1/1965 13:00 +Scottsville,,LIGHT,KY,6/1/1965 13:00 +Lakewood,,DISK,OH,6/1/1965 15:00 +Newport,,LIGHT,NH,6/1/1965 19:00 +Chicago,,LIGHT,IL,6/1/1965 20:00 +Fallon,,,NV,6/1/1965 20:00 +Miami,,OVAL,FL,6/1/1965 20:00 +Rochester,,SPHERE,NY,6/1/1965 21:00 +San Lorenzo,,LIGHT,CA,6/1/1965 21:00 +Toledo,,SPHERE,OH,6/1/1965 21:00 +Caliham,,LIGHT,TX,6/6/1965 2:45 +College Park,,CIRCLE,GA,6/6/1965 17:00 +Rustburg,,LIGHT,VA,6/8/1965 21:00 +Whittier,,OTHER,CA,6/15/1965 0:00 +Woodland HIlls,,CIRCLE,CA,6/15/1965 3:30 +West Corners,,OTHER,NY,6/15/1965 9:00 +Glenvil,,,NE,6/15/1965 10:00 +Thomson,,CIRCLE,GA,6/15/1965 10:00 +Hurley,,CHEVRON,MO,6/15/1965 12:30 +New Kensington,,DISK,PA,6/15/1965 19:00 +Utica,,DISK,MI,6/15/1965 19:00 +Mesquite,,OVAL,TX,6/15/1965 20:00 +Oklahoma City,,SPHERE,OK,6/15/1965 20:00 +St. Petersburg,,,FL,6/15/1965 20:00 +St. Marys,,DISK,WV,6/15/1965 20:15 +Medford,,OVAL,MA,6/15/1965 21:00 +Delano,,FORMATION,CA,6/15/1965 23:00 +Pottstown,,OTHER,PA,6/15/1965 23:00 +Wellington,,,KS,6/15/1965 23:00 +Albuquerque,GREEN,DISK,NM,6/20/1965 2:00 +Portland,,DISK,OR,6/25/1965 13:00 +Philadelphia,YELLOW,CIGAR,PA,6/25/1965 15:00 +Vassalboro,,DISK,ME,6/28/1965 0:00 +Cadotte Pass,,,MT,6/30/1965 0:00 +Colville,,FLASH,WA,6/30/1965 0:00 +Tampa,,,FL,6/30/1965 2:00 +Montgomery,,DISK,AL,6/30/1965 3:00 +Brentwood,,,NY,6/30/1965 14:00 +Mount Shasta,BLUE,CIGAR,CA,6/30/1965 14:00 +Ocala,,CIGAR,FL,6/30/1965 15:00 +Elkins,,DISK,AR,6/30/1965 19:00 +Chesapeake,,EGG,VA,6/30/1965 20:00 +Blasdell,,OVAL,NY,6/30/1965 21:00 +Otisville,,,NY,6/30/1965 22:00 +Fountain Valley,ORANGE,SPHERE,CA,6/30/1965 23:00 +Ringwood,,DISK,NJ,7/1/1965 12:00 +Mt. Vernon,,DISK,IL,7/1/1965 17:00 +Moberly,,LIGHT,MO,7/1/1965 21:00 +New Orleans,,,LA,7/1/1965 22:00 +Narragansett,,EGG,RI,7/2/1965 22:30 +Panama City Beach,,FIREBALL,FL,7/4/1965 19:00 +Hains Falls,,LIGHT,NY,7/4/1965 20:00 +Winnemucca,,LIGHT,NV,7/6/1965 0:00 +Waterford,,VARIOUS,MI,7/6/1965 23:00 +Hudson,,LIGHT,MA,7/7/1965 21:00 +Oak Park,,,IL,7/7/1965 22:30 +San Fernando,,OTHER,CA,7/10/1965 20:00 +Fayetteville,GREEN,CIRCLE,NC,7/12/1965 2:15 +Los Angeles,RED BLUE,CIGAR,CA,7/12/1965 18:30 +Tehachapi,,TRIANGLE,CA,7/15/1965 0:30 +Jackson,,RECTANGLE,MI,7/15/1965 6:30 +San Gabriel,RED BLUE,OVAL,TX,7/15/1965 14:00 +Sistersville,,FIREBALL,WV,7/15/1965 14:00 +Westbury,,EGG,NY,7/15/1965 15:00 +Nyona Lake,,CIGAR,IN,7/15/1965 16:00 +Hornick,ORANGE,FIREBALL,IA,7/15/1965 18:00 +Stoughton,,LIGHT,WI,7/15/1965 18:00 +Whitesburg,,LIGHT,KY,7/15/1965 21:00 +Aurora,RED,SPHERE,OH,7/15/1965 22:00 +Mansfield,,DISK,OH,7/15/1965 22:00 +Pittsfield,,DISK,MA,7/15/1965 22:00 +Pulaski,,FIREBALL,VA,7/20/1965 3:00 +Harrisburg,,OVAL,PA,7/20/1965 19:00 +Santa Ana,,CIRCLE,CA,7/20/1965 20:30 +Portland,ORANGE,DISK,OR,7/20/1965 23:45 +Highland,,SPHERE,MI,7/24/1965 13:00 +Concord,,,CA,7/25/1965 20:00 +Norwalk,,LIGHT,OH,7/27/1965 12:30 +Old Lyme,,OVAL,CT,7/30/1965 23:00 +Pell Lake,,EGG,WI,7/31/1965 22:00 +Wilson,,DISK,NC,8/1/1965 0:00 +Potter,,,NE,8/1/1965 1:30 +St. Louis,,SPHERE,MO,8/1/1965 16:00 +Virden,,SPHERE,IL,8/1/1965 18:00 +Pearland,,LIGHT,TX,8/1/1965 23:00 +Pittsburgh,,OVAL,PA,8/2/1965 1:42 +San Clemente,,FIREBALL,CA,8/3/1965 21:00 +San Antonio,,EGG,TX,8/6/1965 1:00 +South Yarmouth,,LIGHT,MA,8/7/1965 13:00 +Tularosa,,DISK,NM,8/8/1965 12:30 +Minneapolis,,VARIOUS,MN,8/8/1965 23:10 +Hollis,,SPHERE,NH,8/10/1965 18:00 +Culver City,,OVAL,CA,8/11/1965 21:00 +Virginia Beach,,DISK,VA,8/12/1965 1:00 +Dillon,,OVAL,MT,8/12/1965 21:00 +Fort Ord,,TRIANGLE,CA,8/12/1965 21:30 +Tahlequah,,OVAL,OK,8/15/1965 0:00 +Sullivan,,LIGHT,IL,8/15/1965 20:00 +Oneonta,,OVAL,NY,8/15/1965 20:45 +Beaverton,,CIGAR,OR,8/15/1965 21:00 +Aurora,RED,SPHERE,OH,8/15/1965 22:00 +Roseville,,DISK,MI,8/15/1965 22:00 +West Lafayette,RED,DISK,IN,8/15/1965 22:00 +Vernon,,LIGHT,TX,8/15/1965 23:00 +Lowell,RED,FIREBALL,IN,8/15/1965 23:59 +Lowell,,SPHERE,IN,8/15/1965 23:59 +Charleston,,SPHERE,SC,8/20/1965 19:00 +New York City,,CYLINDER,NY,8/20/1965 20:30 +New York City,,CYLINDER,NY,8/20/1965 20:30 +Rutland,RED,CIGAR,MA,8/20/1965 22:00 +Jefferson City,,SPHERE,MO,9/1/1965 13:00 +Spotswood,,CYLINDER,NJ,9/5/1965 8:25 +New Kensington,,CIGAR,PA,9/10/1965 0:00 +Indianapolis,,EGG,IN,9/15/1965 15:00 +Titusville,,TRIANGLE,PA,9/15/1965 20:00 +Terrebonne,RED,LIGHT,OR,9/15/1965 21:30 +Great Bend,,VARIOUS,KS,9/15/1965 22:00 +Kennewick,,OVAL,WA,9/23/1965 14:00 +Waterville,BLUE,CIRCLE,ME,9/27/1965 5:00 +Desert,,DISK,NM,10/1/1965 2:00 +Biloxi,,OTHER,MS,10/1/1965 6:40 +Colonial Heights,BLUE,SPHERE,VA,10/1/1965 14:00 +Dushore,,DISK,PA,10/1/1965 21:00 +Pittsburgh,,DISK,PA,10/2/1965 22:00 +Studio City,,,CA,10/7/1965 0:00 +Reseda,,DISK,CA,10/7/1965 10:00 +Norwalk,RED ORANGE,DISK,CT,10/10/1965 23:45 +Pittsburgh,,CIRCLE,PA,10/12/1965 12:00 +Pittsburgh,BLUE,DISK,PA,10/12/1965 13:00 +Ponca City,,,OK,10/14/1965 21:00 +New Rochelle,,SPHERE,NY,10/15/1965 15:00 +Tabor,,OVAL,IA,10/15/1965 21:00 +Beverly,,CYLINDER,MA,10/16/1965 15:00 +La Jolla,,,CA,10/17/1965 19:15 +La Jolla,,DISK,CA,10/17/1965 19:15 +La Jolla,,DISK,CA,10/17/1965 19:15 +Joppatown,,FIREBALL,MD,10/20/1965 15:00 +Danvers,,EGG,MA,10/24/1965 18:15 +Billerica,,CIGAR,MA,11/1/1965 19:00 +B-52; inflight,,LIGHT,NH,11/2/1965 0:30 +Jacksonville,,LIGHT,FL,11/5/1965 21:00 +Old Saybrook,RED,LIGHT,CT,11/9/1965 17:45 +Middletown,,SPHERE,NY,11/9/1965 18:00 +Syosset,BLUE,DISK,NY,11/15/1965 16:30 +Colmar Manor,,,MD,11/15/1965 21:00 +New York City,RED,OVAL,NY,11/15/1965 21:00 +Cherokee,RED GREEN,OTHER,OK,11/23/1965 20:00 +Poughkeepsie,,TRIANGLE,NY,12/1/1965 17:00 +Grand Island,,FIREBALL,NY,12/9/1965 0:00 +Newtown Square,BLUE,FIREBALL,PA,12/9/1965 0:00 +Pittsburgh,,,PA,12/9/1965 0:00 +Fairmont,,OTHER,WA,12/9/1965 16:00 +Mantua,,CIGAR,NJ,12/9/1965 16:30 +Enfield,,CIRCLE,CT,12/9/1965 16:48 +Enfield,,CIRCLE,CT,12/9/1965 16:48 +Enfield,,FIREBALL,CT,12/9/1965 16:48 +Enfield,,FIREBALL,CT,12/9/1965 17:00 +Middletown,,FIREBALL,CT,12/9/1965 17:00 +San Marcos,,LIGHT,TX,12/10/1965 21:00 +Spartanburg,,OVAL,SC,12/12/1965 23:00 +Houston,,FORMATION,TX,12/22/1965 9:00 +Davidsville,,LIGHT,PA,12/24/1965 1:00 +Bellmar,,TRIANGLE,NJ,12/24/1965 23:59 +Flagstaff,,DISK,AZ,1/1/1966 17:00 +Leavenworth,,TRIANGLE,WA,1/12/1966 0:00 +Fort Smith,,CIRCLE,AR,1/15/1966 22:00 +Ft. Smith,,,AR,1/15/1966 22:00 +Randolph,,OVAL,OH,2/1/1966 1:00 +Kent,,DISK,OH,2/10/1966 18:15 +Bakersfield,,DISK,CA,2/13/1966 17:00 +Gibralter,,DISK,MI,3/8/1966 11:00 +Ann Arbor,BLUE,,MI,3/14/1966 20:00 +Ft. Worth area,,CYLINDER,TX,3/15/1966 10:30 +Childs,,CIRCLE,MD,3/15/1966 14:00 +Warren,,SPHERE,NJ,3/15/1966 20:00 +St Joseph,,LIGHT,MI,3/15/1966 21:00 +North Stonington,,DISK,CT,3/16/1966 8:00 +Elizabeth,,CHEVRON,NJ,3/16/1966 22:00 +Hillsdale,,DISK,MI,3/21/1966 21:00 +El Paso,,OVAL,TX,3/24/1966 22:10 +Auburn,,CIGAR,WA,3/26/1966 16:30 +Roscoe,,CHEVRON,IL,3/29/1966 20:00 +Dearborn,,CHEVRON,MI,3/31/1966 23:50 +Dearborn,,OVAL,MI,3/31/1966 23:50 +Richmond,,DISK,MO,4/1/1966 19:00 +New Braintree,RED,CIRCLE,MA,4/1/1966 21:00 +Corpus Christi,,LIGHT,TX,4/1/1966 23:15 +Geneva,ORANGE,DISK,NY,4/14/1966 22:30 +Interior,,DISK,SD,4/15/1966 13:30 +Hingham,,OVAL,MA,4/15/1966 18:50 +Francis E Warren AFB,,,WY,4/15/1966 23:00 +Atwater,,OTHER,OH,4/17/1966 5:10 +Reading,,OTHER,PA,4/25/1966 20:25 +Bonney Lake area,,,WA,4/25/1966 23:00 +Kent,,SPHERE,WA,5/1/1966 0:00 +Omaha,,CIGAR,NE,5/1/1966 3:00 +Michigan City,RED,RECTANGLE,IN,5/1/1966 17:00 +Beltsville,,SPHERE,MD,5/5/1966 17:00 +Tulsa,,RECTANGLE,OK,5/10/1966 0:00 +East Liverpool,,TRIANGLE,OH,5/11/1966 19:30 +Gering,,,NE,5/15/1966 0:00 +Nanakuli,,DISK,HI,5/15/1966 17:00 +Mentone,,EGG,AL,5/15/1966 22:00 +no data,,DISK,AZ,5/15/1966 22:00 +Lexington,,OTHER,KY,5/19/1966 20:00 +Holly,,LIGHT,MI,5/20/1966 1:00 +Fort Lee,,LIGHT,VA,5/26/1966 23:00 +International Falls,,DISK,MN,6/1/1966 0:00 +New Rochelle,,LIGHT,NY,6/1/1966 2:00 +Gainesville,,DISK,MO,6/1/1966 8:00 +Old Washoe City,,DISK,NV,6/1/1966 9:00 +Bellingham,,DISK,WA,6/1/1966 12:00 +Chicago,,DISK,IL,6/1/1966 12:00 +Punxsutawney,,,PA,6/1/1966 12:00 +Carson City,,DISK,MI,6/1/1966 13:00 +Glenvil,,,NE,6/1/1966 13:00 +Betteravia,,OTHER,CA,6/1/1966 14:00 +Coyanosa,,DISK,TX,6/1/1966 15:00 +Odessa,,OTHER,TX,6/1/1966 15:00 +Miramar NAS,,DISK,CA,6/1/1966 16:32 +Cambridge,,DISK,OH,6/1/1966 17:00 +Grandview,,TRIANGLE,MO,6/1/1966 17:30 +Pleasantville,,DISK,NY,6/1/1966 17:50 +Dearborn Heights,,DISK,MI,6/1/1966 19:00 +District Heights,,DISK,MD,6/1/1966 19:30 +Oil City,,SPHERE,PA,6/1/1966 21:00 +Conshohocken,,DISK,PA,6/1/1966 22:00 +Billings,,LIGHT,MT,6/1/1966 23:00 +Sonoma,,CIGAR,CA,6/6/1966 12:00 +Sonoma,,CIGAR,CA,6/6/1966 12:00 +Hickory,,DISK,NC,6/10/1966 21:00 +Hickory,,DISK,NC,6/10/1966 21:30 +Ypsilanti,,DISK,MI,6/11/1966 13:00 +Playa del Rey,,LIGHT,CA,6/12/1966 1:30 +Vermontville,,OVAL,MI,6/12/1966 20:00 +Mexia,,OVAL,TX,6/12/1966 21:00 +Baltimore,,OVAL,MD,6/15/1966 0:00 +Stoughton,,SPHERE,WI,6/15/1966 4:00 +Columbus,RED,CIRCLE,OH,6/15/1966 5:00 +Roseburg,BLUE,OTHER,OR,6/15/1966 11:00 +Salem,,OVAL,OR,6/15/1966 12:00 +Reading,,SPHERE,PA,6/15/1966 15:00 +Oakdale,,DISK,PA,6/15/1966 16:00 +Monterey Bay,,DISK,CA,6/15/1966 17:00 +Cincinnati,,DISK,OH,6/15/1966 19:00 +Glendale,,CIRCLE,AZ,6/15/1966 19:00 +McClellandtown,,DISK,PA,6/15/1966 19:00 +Bellevue,,DISK,IA,6/15/1966 21:00 +Toutle River,,,WA,6/15/1966 21:00 +Whiteman AFB,,DISK,MO,6/15/1966 21:00 +Duluth,,DISK,MN,6/18/1966 11:00 +Newington,,TRIANGLE,CT,6/18/1966 21:30 +Greenhills,,DISK,OH,6/20/1966 17:00 +Huntington,,DISK,IN,6/20/1966 21:00 +Little Axe,,LIGHT,OK,6/21/1966 21:45 +Rapid City,,,SD,6/25/1966 21:30 +Rapid City,,DISK,SD,6/25/1966 21:30 +Manor,,OVAL,PA,6/30/1966 0:00 +New Mexico,,DISK,NM,6/30/1966 0:01 +Mendota,,DISK,CA,6/30/1966 1:00 +New York City,,CIRCLE,NY,6/30/1966 5:00 +Washington,,CIRCLE,IN,6/30/1966 10:00 +Lake Cushman,,OTHER,WA,6/30/1966 14:00 +Montague,,OTHER,CA,6/30/1966 14:00 +Jonesboro,,DISK,AR,6/30/1966 15:00 +Corning,,DISK,CA,6/30/1966 16:00 +Wayne,,CIGAR,PA,6/30/1966 17:00 +Blocksburg,,DISK,CA,6/30/1966 21:00 +Peoria,,CIGAR,IL,6/30/1966 21:00 +Spartanburg,ORANGE,LIGHT,SC,6/30/1966 21:00 +Santa Fe,,DISK,NM,6/30/1966 22:30 +Auburn,,OTHER,CA,6/30/1966 23:00 +Winston-Salem,,OTHER,NC,6/30/1966 23:00 +Dover,,DISK,DE,7/1/1966 0:30 +New Salem,,OVAL,PA,7/1/1966 19:00 +Jarrettsville,,LIGHT,MD,7/1/1966 20:00 +New Salem,,SPHERE,PA,7/1/1966 20:00 +Milton,,LIGHT,WV,7/1/1966 20:30 +Malden,,SPHERE,MA,7/1/1966 21:00 +Grand Prairie,,OTHER,TX,7/1/1966 21:30 +Cape Rosier,GREEN,LIGHT,ME,7/4/1966 0:00 +San Jose,,DISK,CA,7/4/1966 17:15 +Interlachen,,FIREBALL,FL,7/6/1966 21:00 +Hopkinsville,,OTHER,KY,7/9/1966 12:00 +Dracut,,CIRCLE,MA,7/15/1966 0:00 +Springfield,,OTHER,MA,7/15/1966 12:00 +Galveston,,OVAL,TX,7/15/1966 19:00 +La Puente,,TRIANGLE,CA,7/15/1966 21:00 +Centerville,,LIGHT,IA,7/15/1966 22:00 +Cold Springs,,,NY,7/15/1966 22:00 +Malibu,,TRIANGLE,CA,7/15/1966 22:00 +Waukegan,,CIRCLE,IL,7/17/1966 11:00 +Gahanna,,LIGHT,OH,7/31/1966 21:30 +Douglas,,CIGAR,MI,7/31/1966 23:00 +Columbus,ORANGE,CIRCLE,OH,8/1/1966 5:30 +Garden City,,CIGAR,MI,8/1/1966 22:30 +Santa Rosa,,DISK,CA,8/6/1966 1:30 +Newcastle,,,DE,8/9/1966 0:00 +Ovando,,OVAL,MT,8/10/1966 3:30 +Caseyville,,LIGHT,IL,8/12/1966 19:00 +Renton,,OVAL,WA,8/14/1966 14:30 +Rochester,,OTHER,NY,8/15/1966 12:00 +Amherst,,DISK,NY,8/15/1966 22:00 +Galesburg,,DISK,IL,8/15/1966 22:00 +Seattle,,DISK,WA,8/15/1966 22:30 +Bass Harbor,BLUE,DISK,ME,8/17/1966 1:45 +Beverly,,CIGAR,OH,8/17/1966 23:00 +Big Sur,,DIAMOND,CA,8/18/1966 19:00 +Indianapolis,,LIGHT,IN,8/20/1966 1:00 +Seatac,,,WA,8/22/1966 23:00 +Grovertown,,CIGAR,IN,8/28/1966 0:00 +Rochester,,DISK,NY,8/30/1966 17:30 +New York City,,SPHERE,NY,9/1/1966 22:00 +Bakersfield,RED GREEN BLUE,CIRCLE,CA,9/5/1966 0:00 +Columbus,RED YELLOW GREEN,CIRCLE,NE,9/5/1966 21:00 +Pasco,,DISK,WA,9/6/1966 21:00 +Hundred,,OVAL,WV,9/8/1966 20:30 +Terre Haute,,SPHERE,IN,9/15/1966 3:00 +Clifton,,FLASH,TX,9/15/1966 9:00 +Delta Junction,ORANGE,CIGAR,AK,9/15/1966 18:00 +Canoga Park,,CIGAR,CA,9/15/1966 20:00 +Toledo,,TRIANGLE,OH,9/15/1966 21:00 +Huntington,RED,TRIANGLE,WV,9/15/1966 23:00 +Chicago,,CIGAR,IL,9/16/1966 20:00 +Granby,,,CT,9/20/1966 19:00 +Los Banos,,EGG,CA,9/25/1966 17:00 +Norfolk,,OVAL,VA,9/27/1966 0:00 +Red Oak,GREEN,OVAL,IA,9/27/1966 1:00 +Coventry,,CIRCLE,RI,9/28/1966 20:00 +Huntington,,CIRCLE,WV,9/30/1966 21:00 +Buffalo,,LIGHT,NY,10/1/1966 20:00 +Anacortes,,LIGHT,WA,10/1/1966 22:00 +Anamosa,,,IA,10/1/1966 22:30 +Corvallis,,DISK,OR,10/1/1966 23:00 +Troy,,,OH,10/5/1966 21:00 +Pell City,,DISK,AL,10/10/1966 20:00 +Live Oak,,DISK,FL,10/10/1966 21:00 +Mission,,DISK,TX,10/13/1966 7:00 +Boca Raton,,CIRCLE,FL,10/15/1966 2:00 +Martinsville,,DISK,IN,10/15/1966 18:30 +Running Springs,,DISK,CA,10/15/1966 19:00 +Ukiah,,OVAL,OR,10/15/1966 20:00 +Utica,RED GREEN,TRIANGLE,NY,10/15/1966 20:00 +Fremont,,,CA,10/15/1966 22:00 +Albuquerque,,DIAMOND,NM,10/20/1966 2:00 +Santa Fe,,DISK,NM,10/21/1966 22:15 +Gulfport,RED,EGG,MS,10/30/1966 17:50 +Miami,,,FL,11/1/1966 12:00 +North Dade County,,,FL,11/1/1966 12:00 +Opa Locka,,CHEVRON,FL,11/1/1966 12:00 +Opa Locka,,CYLINDER,FL,11/1/1966 12:00 +Opa Locka,,DISK,FL,11/1/1966 12:00 +Kodiak Naval Station,,FORMATION,AK,11/10/1966 21:00 +Seattle,RED,DISK,WA,11/11/1966 2:00 +Hempstead,,,NY,11/11/1966 20:00 +Jacksonville,,CHEVRON,FL,11/12/1966 0:00 +Corpus Christi,,OVAL,TX,11/14/1966 22:15 +Huntington Beach,BLUE,CIRCLE,CA,11/15/1966 19:40 +Winston-Salem,,TRIANGLE,NC,11/15/1966 22:30 +Wanaque,,OVAL,NJ,11/25/1966 22:05 +Webster City,RED,SPHERE,IA,12/15/1966 17:30 +Valley Forge,,SPHERE,PA,12/15/1966 19:00 +Phoenixville,,OVAL,PA,12/15/1966 23:00 +Salem,ORANGE,DISK,OR,12/19/1966 2:39 +Rockford,,,IL,12/25/1966 4:00 +Hammond,,TRIANGLE,IN,12/28/1966 19:00 +Opa Locka,,CHEVRON,FL,1/1/1967 13:00 +Forbes AFB,,DISK,KS,1/15/1967 1:30 +Fort Bliss,,DISK,TX,2/1/1967 0:15 +Martin,,DISK,TN,2/1/1967 16:00 +Lakeview,,OTHER,OR,2/2/1967 21:00 +Stony Point,,,NY,2/13/1967 22:19 +Andover,,LIGHT,MA,2/15/1967 20:00 +Meriden,,,CT,2/20/1967 19:30 +Whittier,,OVAL,CA,3/1/1967 19:30 +Hickman,,FORMATION,KY,3/2/1967 19:50 +Oak Grove,,,LA,3/3/1967 22:00 +Mt. Washington,,CIRCLE,NH,3/10/1967 23:00 +San Angelo,,CIRCLE,TX,3/15/1967 8:00 +Norwalk,,CIGAR,OH,3/15/1967 18:00 +Galesburg,,OVAL,IL,3/16/1967 23:00 +Valdosta,,DISK,GA,4/1/1967 0:00 +Opa Locka,,,FL,4/1/1967 13:00 +Opa Locka,,OVAL,FL,4/1/1967 13:00 +Las Vegas,BLUE,LIGHT,NV,4/1/1967 17:45 +Homestead,,,FL,4/1/1967 21:00 +Tampa,,LIGHT,FL,4/1/1967 21:00 +Miami,,OTHER,FL,4/1/1967 23:00 +Albany,,,GA,4/4/1967 22:00 +middle of desert,,LIGHT,TX,4/5/1967 22:00 +Miami,,DISK,FL,4/7/1967 10:00 +Nashville,,DISK,TN,4/11/1967 15:00 +Westbury,,FORMATION,NY,4/14/1967 22:30 +El Paso,,CHEVRON,TX,4/15/1967 18:00 +North Hollywood,,FORMATION,CA,4/15/1967 22:00 +Stamford,,CYLINDER,CT,4/21/1967 19:30 +Gibson,,OVAL,NY,4/22/1967 21:00 +Chattahoochee,,LIGHT,FL,4/25/1967 21:00 +Enid,,DISK,OK,5/1/1967 12:00 +Maryville,,CIGAR,TN,5/1/1967 21:00 +Hallandale,,TRIANGLE,FL,5/5/1967 22:00 +Fallon,,OVAL,NV,5/10/1967 11:00 +Kent,,DISK,WA,5/15/1967 0:50 +Gainesville,RED,TRIANGLE,FL,5/15/1967 19:30 +Belvedere,,TEARDROP,CA,5/15/1967 20:00 +Palm Wells,,FORMATION,CA,5/15/1967 20:00 +Monroe,,LIGHT,LA,5/15/1967 23:00 +El Paso,,LIGHT,TX,5/29/1967 21:00 +Bangor,,,ME,6/1/1967 0:00 +Bangor,,,ME,6/1/1967 0:00 +Farmersville,,CIRCLE,OH,6/1/1967 0:00 +Oxen Hill,,SPHERE,MD,6/1/1967 0:00 +Shofield Barracks-Civilian,,VARIOUS,HI,6/1/1967 0:00 +Edgemoor,,DISK,SC,6/1/1967 1:00 +Fort Knox,,CYLINDER,KY,6/1/1967 6:00 +St. Paul,,DISK,MN,6/1/1967 6:00 +San Diego,,CIRCLE,CA,6/1/1967 12:00 +El Cerrito,,OVAL,CA,6/1/1967 14:00 +Red Oak,,LIGHT,IA,6/1/1967 16:00 +Warrensburg on Highway 13,,OTHER,MO,6/1/1967 16:00 +Cordova,,DISK,AL,6/1/1967 18:00 +West Bend,,LIGHT,WI,6/1/1967 20:00 +Myrtle Creek,,CIRCLE,OR,6/1/1967 20:30 +Cincinnati,,CIGAR,OH,6/1/1967 21:00 +Sumner,,FORMATION,WA,6/1/1967 21:00 +Gerry,,DISK,NY,6/1/1967 22:00 +Laddonia,,,MO,6/1/1967 22:00 +Yucca Valley,,LIGHT,CA,6/1/1967 22:00 +Hyde Park,,OTHER,PA,6/1/1967 23:00 +Ventura,,CIGAR,CA,6/1/1967 23:00 +Boise,,DISK,ID,6/1/1967 23:59 +Decatur,,LIGHT,AL,6/4/1967 20:30 +Tacoma,,OTHER,WA,6/5/1967 14:00 +Cedar Rapids,,OVAL,IA,6/6/1967 12:00 +El Paso,,LIGHT,TX,6/10/1967 19:00 +Poteau,,LIGHT,OK,6/12/1967 22:00 +Thomasville,BLUE,OTHER,GA,6/14/1967 15:30 +DeSoto,,LIGHT,KS,6/15/1967 0:00 +Kent,,DISK,WA,6/15/1967 0:30 +Highway,,CIRCLE,AZ,6/15/1967 2:00 +Detroit,,SPHERE,MI,6/15/1967 3:00 +China Lake,,SPHERE,CA,6/15/1967 8:00 +Edison,,OTHER,NJ,6/15/1967 12:00 +Glens Falls,,TEARDROP,NY,6/15/1967 14:00 +Oak Ridge,,SPHERE,TN,6/15/1967 19:30 +Arbuckle,,TRIANGLE,CA,6/15/1967 20:00 +Salt Lake City,,DISK,UT,6/15/1967 20:30 +Savannah,ORANGE,CHEVRON,GA,6/15/1967 22:00 +Baker,,DISK,OR,6/15/1967 23:00 +Fairfield,,CIGAR,CA,6/20/1967 18:00 +Boise,,LIGHT,ID,6/23/1967 22:30 +none,,DISK,MI,6/25/1967 13:00 +Glendale,,LIGHT,AZ,6/27/1967 23:00 +Peoria,,DISK,IL,6/30/1967 0:00 +Kansas city,,OTHER,KS,6/30/1967 1:00 +Lander,,LIGHT,WY,6/30/1967 3:00 +Oakwood,,CIRCLE,OH,6/30/1967 3:00 +Goleta,,,CA,6/30/1967 9:00 +Pine River,,LIGHT,MN,6/30/1967 13:00 +Portmouth,,DISK,RI,6/30/1967 19:00 +Reidsville,RED YELLOW,CIRCLE,NC,6/30/1967 20:00 +Slidell,,CIRCLE,LA,6/30/1967 20:00 +Lansing,,LIGHT,KS,6/30/1967 21:00 +Schofield Barracks,,CIRCLE,HI,6/30/1967 21:00 +Aiken,,OVAL,SC,6/30/1967 21:30 +Ft. Lewis,,LIGHT,WA,6/30/1967 22:00 +Glenview,,CIRCLE,IL,6/30/1967 22:00 +New Market,,TRIANGLE,AL,6/30/1967 22:00 +Maury Mountains,,FIREBALL,OR,7/1/1967 0:00 +Chatfield,,,MN,7/1/1967 1:00 +Corpus Christi,,OTHER,TX,7/1/1967 15:00 +East Hanover,,CIGAR,NJ,7/1/1967 20:30 +Colorado Springs,,TRIANGLE,CO,7/1/1967 22:30 +Fort Smith,,TRIANGLE,AR,7/5/1967 20:45 +Wyoming,,CIGAR,WY,7/12/1967 2:00 +Marshfield,,DISK,WI,7/15/1967 2:00 +Carmichaels,,CHEVRON,PA,7/15/1967 3:00 +Boydstown,,DISK,PA,7/15/1967 19:00 +Lakeville,,FORMATION,CT,7/15/1967 20:00 +Sacramento,,LIGHT,CA,7/15/1967 21:45 +Barboursville,,SPHERE,WV,7/16/1967 14:00 +Crystal Beach,,DISK,TX,7/16/1967 20:45 +West Lake,ORANGE,CIRCLE,ME,7/20/1967 9:00 +West Palm Beach,,FIREBALL,FL,7/20/1967 20:00 +Churchville,,DISK,NY,7/31/1967 18:15 +Wadsworth,,OTHER,OH,7/31/1967 22:30 +Marathon County,,DISK,WI,8/1/1967 15:30 +Coxsackie,,CIRCLE,NY,8/1/1967 19:00 +New York City,,DIAMOND,NY,8/1/1967 19:00 +Roseburg,RED,SPHERE,OR,8/1/1967 19:00 +Downey,,,CA,8/1/1967 20:00 +Davis Park,,TRIANGLE,NY,8/1/1967 21:30 +Sturgeon Bay,,CIGAR,WI,8/1/1967 21:30 +Fort Smith,,CHEVRON,AR,8/5/1967 1:00 +Fort Smith,,CHEVRON,AR,8/5/1967 21:00 +Fort Smith,,TEARDROP,AR,8/5/1967 21:00 +Middlesboro,,OVAL,KY,8/8/1967 10:00 +Babylon,,CIRCLE,NY,8/8/1967 11:00 +Alamosa,,LIGHT,CO,8/8/1967 16:00 +Little Rock,,CIRCLE,AR,8/11/1967 19:00 +Chicago,,TRIANGLE,IL,8/12/1967 19:45 +Albuquerque,,CIGAR,NM,8/15/1967 14:00 +Westford,,,MA,8/15/1967 20:00 +Melbourne,,,FL,8/15/1967 20:30 +Burien,,LIGHT,WA,8/15/1967 21:00 +Sag Harbor,GREEN,SPHERE,NY,8/15/1967 21:30 +Lee Vining,,DISK,CA,8/15/1967 22:00 +Gula,,CIRCLE,AK,8/15/1967 23:00 +Camden,,VARIOUS,NJ,8/16/1967 16:30 +Edgartown,,SPHERE,MA,8/20/1967 3:30 +Huron,,CIGAR,IN,8/20/1967 18:30 +Azusa Canyon,,,CA,8/20/1967 21:00 +Pittsburgh,,CIRCLE,PA,8/22/1967 20:00 +Fort Lauderdale,,CIGAR,FL,8/24/1967 19:00 +Princeton,,DISK,ID,8/25/1967 3:15 +Playa del Rey,,OVAL,CA,8/25/1967 23:30 +Fort Mitchell,,DISK,KY,8/29/1967 21:29 +Lansing,,,KS,8/30/1967 21:00 +Bentonia,,LIGHT,MS,9/1/1967 18:00 +Winchester,,CIGAR,KY,9/1/1967 19:30 +North Royalton,,DISK,OH,9/1/1967 23:00 +Crestone,,FIREBALL,CO,9/3/1967 21:00 +Corydon,,DISK,KY,9/5/1967 17:00 +Beatrice,,DISK,NE,9/6/1967 18:00 +Baltimore,,,MD,9/7/1967 17:00 +Hermosa Beach,RED,CIGAR,CA,9/8/1967 15:00 +Brownville,,CIRCLE,ME,9/10/1967 0:00 +Portsmouth,,OTHER,OH,9/10/1967 21:30 +Atlanta,,CIGAR,GA,9/10/1967 22:00 +Caribou,,DISK,ME,9/15/1967 0:00 +Cedar Point,,LIGHT,KS,9/15/1967 0:00 +Chiloquin,,DISK,OR,9/15/1967 19:30 +Schofield Barracks Military area,,CIRCLE,HI,9/15/1967 20:00 +Santa Rosa,,CIRCLE,CA,9/15/1967 22:00 +Woodland Hills,,TRIANGLE,CA,9/20/1967 21:00 +Tipp City,BLUE,LIGHT,OH,9/20/1967 22:30 +Albuquerque,,,NM,9/22/1967 22:30 +Lone Rock,,OVAL,WI,9/30/1967 23:00 +Chaffee,,SPHERE,NY,10/1/1967 2:00 +Greenville,,CIRCLE,IL,10/1/1967 13:00 +Minneapolis,,DISK,MN,10/1/1967 20:00 +Syracuse,,DISK,NY,10/5/1967 4:00 +Whippany,,DISK,NJ,10/6/1967 19:00 +Lantana,,OTHER,FL,10/7/1967 22:00 +Birmingham,,OVAL,AL,10/15/1967 18:00 +Hampstead,,DISK,NC,10/15/1967 21:00 +North Hollywood,,FIREBALL,CA,10/15/1967 21:00 +Saugus,,LIGHT,CA,10/15/1967 23:00 +Travis AFB,,,CA,10/15/1967 23:00 +Cherokee Village,,CIRCLE,AR,10/17/1967 23:00 +Old Greenwich,BLUE,DISK,CT,10/20/1967 18:00 +Midland,,LIGHT,TX,10/31/1967 20:00 +Ada,,CIRCLE,OK,10/31/1967 20:30 +Tiburon,,TEARDROP,CA,11/2/1967 22:00 +Fort Polk,,,LA,11/10/1967 6:00 +Clearmont,,,MO,11/10/1967 19:00 +Chicago,RED,DISK,IL,11/12/1967 21:30 +Blaine,,,WA,11/15/1967 23:30 +Silver Lake,RED,,OR,11/20/1967 21:00 +Broadview Heights,,LIGHT,OH,12/6/1967 3:30 +La Plata,,CIRCLE,MD,12/15/1967 19:30 +Bithlo,,DISK,FL,12/30/1967 17:10 +Burlington,,CIRCLE,NJ,1/1/1968 0:00 +Lawndale,,CIRCLE,CA,1/1/1968 0:00 +West Monroe,,LIGHT,LA,1/1/1968 21:00 +Wheaton,RED,CIRCLE,MD,1/1/1968 23:00 +Tucson,,DISK,AZ,1/8/1968 19:00 +Jacksonville,,,FL,1/10/1968 23:00 +American Falls,GREEN,DISK,ID,1/12/1968 22:00 +Anjean,,OVAL,WV,1/15/1968 17:30 +Gloucester,,DISK,NJ,1/20/1968 19:00 +Carpinteria,,SPHERE,CA,1/29/1968 18:00 +Dayton,,DISK,OH,1/30/1968 1:00 +on plane wing,,DISK,NY,1/31/1968 5:00 +Temple,RED,LIGHT,OK,2/15/1968 19:00 +Ironwood,,SPHERE,MI,2/25/1968 22:00 +New York City,,DISK,NY,3/1/1968 15:00 +Alamosa,,SPHERE,CO,3/12/1968 11:00 +Savannah,,CIRCLE,GA,4/1/1968 20:30 +Gainesville,,CIGAR,GA,4/3/1968 14:50 +Little Rock,,CYLINDER,AR,4/4/1968 10:00 +Westland,,DISK,MI,4/5/1968 23:00 +Columbia Station,,SPHERE,OH,4/7/1968 10:00 +Walla Walla,,TRIANGLE,WA,4/8/1968 18:45 +Scottsville,,DISK,KY,4/12/1968 21:00 +Overton,,OVAL,NE,4/15/1968 2:00 +Las Vegas,,SPHERE,NV,4/15/1968 18:30 +Silver City,,CIRCLE,IA,4/15/1968 23:30 +New Kensington,,CIRCLE,PA,4/19/1968 16:00 +Redfield,,CONE,IA,5/1/1968 13:00 +Franconia Notch,,CIRCLE,NH,5/1/1968 14:00 +Valparaiso,,,IN,5/12/1968 9:00 +Valparaiso,,,IN,5/12/1968 9:00 +Omaha,,DISK,NE,5/12/1968 21:00 +St. Louis,,OVAL,MO,5/15/1968 18:00 +Stevens Point,,SPHERE,WI,5/15/1968 19:50 +Jones,,OVAL,MI,5/15/1968 20:30 +Provo,YELLOW,SPHERE,UT,5/15/1968 21:00 +Towaco,,CIRCLE,NJ,5/20/1968 19:00 +Morehead,,LIGHT,KY,5/25/1968 20:00 +Delta,RED,SPHERE,CO,5/25/1968 21:30 +Binghamton,,DISK,NY,6/1/1968 0:00 +Clovis,,CIGAR,CA,6/1/1968 0:00 +Sanford,,FIREBALL,FL,6/1/1968 0:00 +Dayton,,OVAL,OH,6/1/1968 2:00 +Chicago,,OVAL,IL,6/1/1968 4:30 +Las Vegas,BLUE,LIGHT,NV,6/1/1968 13:00 +Camden,,CIRCLE,AR,6/1/1968 16:00 +Corry,,FIREBALL,PA,6/1/1968 17:00 +Billings,,CIRCLE,MT,6/1/1968 18:00 +Ash Grove,RED ORANGE,SPHERE,MD,6/1/1968 19:00 +Fairfield,,CIGAR,CA,6/1/1968 19:00 +Gadsden,,OTHER,AL,6/1/1968 19:00 +Columbia,,TRIANGLE,SC,6/1/1968 21:00 +Monmouth Junction,,LIGHT,NJ,6/1/1968 21:00 +Winnie,,FIREBALL,TX,6/1/1968 21:00 +Zanesville,,DISK,OH,6/1/1968 21:00 +Houston,,TRIANGLE,TX,6/1/1968 22:00 +Mississippi,,CIRCLE,MS,6/1/1968 22:00 +Renton,ORANGE,VARIOUS,WA,6/1/1968 22:00 +Minot,,CIGAR,ND,6/1/1968 23:20 +Rocky Mountains,,OTHER,CA,6/3/1968 11:45 +Rocky Mountains,,OTHER,CA,6/3/1968 11:45 +Lake Havasu City,,CIGAR,AZ,6/6/1968 11:00 +Duluth,,DISK,MN,6/6/1968 20:00 +NAS Fallon,,DISK,NV,6/6/1968 21:00 +Minot,,DISK,ND,6/6/1968 22:00 +State College,,OVAL,PA,6/6/1968 23:00 +Downers Grove,,DISK,IL,6/10/1968 11:00 +Woodland Hills,,DISK,CA,6/10/1968 20:30 +St. Paul,,CIRCLE,MN,6/12/1968 2:30 +Shrewsbury,,RECTANGLE,MA,6/12/1968 12:30 +Coyanosa,,LIGHT,TX,6/15/1968 0:00 +Panama City,,LIGHT,FL,6/15/1968 2:00 +Greensboro,GREEN BLUE,TRIANGLE,NC,6/15/1968 3:00 +Akron,,DISK,OH,6/15/1968 15:00 +Canoga Park,,CYLINDER,CA,6/15/1968 15:00 +Fort Hood,,DISK,TX,6/15/1968 16:30 +Baytown,,CIGAR,TX,6/15/1968 17:00 +Bishop,,DISK,CA,6/15/1968 17:00 +Louisville,,,KY,6/15/1968 17:00 +Oak Cliff,,DISK,TX,6/15/1968 17:00 +Oak Cliff,,DISK,TX,6/15/1968 17:00 +Pasadena,,CIGAR,TX,6/15/1968 17:00 +Livingston,,DISK,NJ,6/15/1968 18:00 +Allentown,,SPHERE,PA,6/15/1968 20:00 +Pittsburgh,,LIGHT,PA,6/15/1968 20:00 +Wytheville,,DISK,VA,6/15/1968 20:30 +Brevard,ORANGE,CIRCLE,NC,6/15/1968 21:00 +Mariposa,,,CA,6/15/1968 22:00 +Mojave Desert,,LIGHT,CA,6/15/1968 22:00 +Garden Valley,,DISK,CA,6/15/1968 22:30 +Salt Lake City,,LIGHT,UT,6/20/1968 7:00 +Fairfield,,OTHER,IA,6/20/1968 15:00 +York,,EGG,PA,6/20/1968 19:00 +Badlands,,,SD,6/20/1968 22:00 +Upper Lisle,,TRIANGLE,NY,6/21/1968 20:30 +Honolulu,,CIRCLE,HI,6/25/1968 11:00 +Wyoming,,DISK,MN,6/26/1968 13:00 +Cottonwood,,CIRCLE,AZ,6/28/1968 21:00 +Thurmont,,DISK,MD,6/29/1968 1:00 +Harahan,,LIGHT,LA,6/30/1968 0:00 +Chicago,,,IL,6/30/1968 1:00 +Whittier,BLUE,SPHERE,CA,6/30/1968 1:00 +Hueytown,,OVAL,AL,6/30/1968 9:00 +Auburn,,OTHER,MA,6/30/1968 10:00 +Ponca City,RED,LIGHT,OK,6/30/1968 11:00 +Gardendale,,DISK,AL,6/30/1968 12:00 +Gilmer,,CIGAR,TX,6/30/1968 12:00 +Yankton,,,SD,6/30/1968 12:00 +Christmas Valley,,DISK,OR,6/30/1968 13:00 +Hillsboro,GREEN,,KS,6/30/1968 14:00 +Oldtown,,DISK,MD,6/30/1968 20:00 +Stockton,,DISK,CA,6/30/1968 21:00 +Dallas,,OTHER,TX,7/1/1968 3:30 +Tempe,,TRIANGLE,AZ,7/1/1968 18:00 +Plantsville,BLUE,LIGHT,CT,7/1/1968 18:30 +New Castle,,DISK,PA,7/1/1968 19:00 +Salt Lake City,,CIRCLE,UT,7/1/1968 20:45 +Cincinnati,,DISK,OH,7/1/1968 22:00 +Santa Barbara,,FORMATION,CA,7/1/1968 22:00 +Vega,,DISK,TX,7/3/1968 20:30 +Otis Air Force Base,,LIGHT,MA,7/4/1968 21:00 +Otis Air Force Base,,LIGHT,MA,7/4/1968 21:00 +Thomasville,,,AL,7/6/1968 1:00 +Houston,,DISK,TX,7/7/1968 12:00 +Augusta,,TRIANGLE,GA,7/7/1968 20:00 +Rumson,,DISK,NJ,7/7/1968 20:00 +Nashville,,CIGAR,IN,7/9/1968 0:00 +Quantico Marine Base,,CIGAR,VA,7/10/1968 23:00 +Perth Amboy,,CIRCLE,NJ,7/13/1968 22:00 +North Little Rock,,CIRCLE,AR,7/14/1968 21:00 +Norwich,,DIAMOND,CT,7/15/1968 0:01 +Bena,,VARIOUS,VA,7/15/1968 0:50 +Phoenix,,LIGHT,AZ,7/15/1968 2:00 +Pyramid Lake Indian Reservation,,LIGHT,NV,7/15/1968 2:00 +Seattle,,CIRCLE,WA,7/15/1968 2:00 +Rosemead,,CIGAR,CA,7/15/1968 7:00 +Homeworth,,TRIANGLE,OH,7/15/1968 18:00 +Marion,BLUE,OTHER,MA,7/15/1968 19:00 +Columbus,,OTHER,MS,7/15/1968 22:00 +Stillwater,GREEN,FIREBALL,ME,7/15/1968 23:00 +Martinez,,DISK,GA,7/19/1968 23:00 +Des Moines,,CIRCLE,IA,7/20/1968 1:00 +Cleveland Heights,,OVAL,OH,7/20/1968 14:00 +Zell,,DISK,SD,7/20/1968 15:00 +San Jose,,CIRCLE,CA,7/20/1968 19:00 +Oakland,,CIGAR,CA,7/21/1968 14:00 +Brainerd,,CIRCLE,MN,7/22/1968 22:00 +Freeport,,DISK,IL,7/25/1968 23:00 +Draffenville,,DISK,KY,7/27/1968 20:00 +Corpus Christi,,OTHER,TX,8/1/1968 12:00 +Baytown,,LIGHT,TX,8/1/1968 18:00 +Coxsackie,,CIRCLE,NY,8/1/1968 19:00 +Panama City Beach,,LIGHT,FL,8/1/1968 19:00 +Georgetown,,OTHER,SC,8/1/1968 20:00 +Pollack Pines,,LIGHT,CA,8/1/1968 22:00 +Lake Dorothy,,DISK,WA,8/4/1968 23:00 +Cherry Hill,,DISK,NJ,8/8/1968 18:00 +Eugene,RED,CIGAR,OR,8/9/1968 21:00 +Vineland,,FIREBALL,NJ,8/10/1968 19:00 +Niantic,BLUE,DISK,CT,8/11/1968 20:20 +Morro Bay,,LIGHT,CA,8/12/1968 17:00 +Byron,,DISK,GA,8/14/1968 21:00 +Ft. Benning,,SPHERE,GA,8/15/1968 0:00 +Austin,,DISK,TX,8/15/1968 5:00 +Yosemite Pass,,DISK,CA,8/15/1968 11:30 +Sewickley,,CIGAR,PA,8/15/1968 12:00 +Cannon,,OVAL,DE,8/15/1968 13:00 +Church Hill,,SPHERE,PA,8/15/1968 15:00 +East Palestine,,DISK,OH,8/15/1968 18:00 +Pomona,,LIGHT,CA,8/15/1968 20:00 +Greensboro,,DISK,NC,8/15/1968 21:35 +Kansas Ciy,RED,VARIOUS,KS,8/16/1968 3:00 +Norfolk Naval Operation Base,,CIRCLE,VA,8/20/1968 3:30 +Elwood,,CIGAR,NJ,8/20/1968 18:30 +Gulf of Mexico,,OVAL,LA,9/1/1968 23:00 +Tracy,,,CA,9/9/1968 20:00 +Santa Rosa,ORANGE,CIRCLE,CA,9/9/1968 21:00 +Corydon,,DISK,KY,9/10/1968 16:00 +Colorado Springs,,SPHERE,CO,9/10/1968 19:00 +Tontitown,,,AR,9/10/1968 21:00 +White Owl,,FIREBALL,SD,9/15/1968 0:00 +Oelwein,,CIGAR,IA,9/15/1968 22:00 +covington,,CIRCLE,KY,9/20/1968 4:00 +Edison,,DISK,NJ,9/30/1968 21:00 +Edison,,DISK,NJ,9/30/1968 21:00 +Edison,,DISK,NJ,9/30/1968 21:00 +Boston,RED ORANGE,CIGAR,MA,10/1/1968 0:00 +Kennebunkport,,CIRCLE,ME,10/1/1968 20:00 +London Mills,,DISK,IL,10/5/1968 2:00 +Nunda,,DISK,SD,10/5/1968 21:30 +Hawthorne,ORANGE,CIRCLE,CA,10/10/1968 13:00 +Brevard,RED,FIREBALL,NC,10/10/1968 19:00 +Hastings,,TRIANGLE,MN,10/15/1968 2:00 +Crystal Lake,,CIGAR,IL,10/15/1968 7:30 +Bancroft,,LIGHT,WI,10/15/1968 20:00 +Fort Polk,,LIGHT,LA,10/15/1968 23:30 +Shadyside,,OVAL,MD,10/15/1968 23:30 +Ashtabula,,DISK,OH,10/20/1968 1:00 +Bullskin,,CIRCLE,PA,10/20/1968 19:00 +Wayne,,OVAL,MI,10/20/1968 20:00 +Lakeland,,DISK,FL,10/22/1968 20:00 +Walla Walla,,OTHER,WA,10/23/1968 15:00 +Springfield,,DISK,MA,10/25/1968 19:00 +Miami,,FIREBALL,FL,10/30/1968 19:00 +Loring AFB,,,ME,10/30/1968 22:00 +Enid,,FLASH,OK,11/1/1968 22:00 +Nacaome,,OVAL,MA,11/5/1968 16:00 +San Diego,,,CA,11/10/1968 3:00 +Ocean off Miami,GREEN,LIGHT,FL,11/18/1968 1:00 +Kent,,TRIANGLE,WA,11/20/1968 7:30 +Locust Fork,,LIGHT,AL,11/30/1968 21:30 +Gasconade,,,MO,12/3/1968 2:00 +Abbeville,,DISK,SC,12/10/1968 0:30 +Logansport,,CIGAR,IN,12/12/1968 3:00 +Joshua Tree National Park,,FLASH,CA,12/15/1968 21:00 +Hollywood,,OTHER,CA,12/15/1968 23:00 +Juneau,,OTHER,AK,12/20/1968 2:00 +Juneau,,OTHER,AK,12/20/1968 2:00 +Greensburg,,,PA,1/1/1969 10:00 +Farmerville,,OTHER,LA,1/1/1969 20:00 +Nevada test site,,TRIANGLE,NV,1/1/1969 23:00 +Naples,,OVAL,FL,1/4/1969 23:30 +Pittsburgh,,OTHER,PA,1/8/1969 21:30 +Butte,,RECTANGLE,MT,1/15/1969 23:00 +Miami,,SPHERE,FL,1/15/1969 23:00 +Butte,,OTHER,MT,1/19/1969 22:00 +Lake Wales,,DISK,FL,1/20/1969 19:00 +Monroe,,SPHERE,IN,2/15/1969 22:00 +Omaha,ORANGE,OVAL,NE,3/1/1969 0:00 +Oak Lawn,,DISK,IL,3/1/1969 15:00 +Perth Amboy,,LIGHT,NJ,3/1/1969 21:00 +Oroville,,CROSS,WA,3/15/1969 11:00 +Little Axe,,CIGAR,OK,3/15/1969 21:00 +Loganville,,CIGAR,GA,4/1/1969 7:00 +City of Commerce,,CIGAR,CA,4/5/1969 13:00 +At sea,,LIGHT,HI,4/15/1969 21:30 +Little Rock,,CYLINDER,AR,4/21/1969 16:30 +Youngstown,,DISK,OH,5/1/1969 5:00 +Ridgefield,,,CT,5/1/1969 6:00 +San Diego,,OVAL,CA,5/1/1969 12:00 +Wheaton,,DISK,MD,5/1/1969 20:00 +Estill,,CIGAR,SC,5/1/1969 22:00 +St. Louis,,CIGAR,MO,5/15/1969 14:00 +Dallas,,LIGHT,TX,5/15/1969 20:00 +Wilshire,ORANGE YELLOW,SPHERE,CA,5/15/1969 20:00 +Boulder,,OTHER,CO,6/1/1969 1:00 +Wacousta,ORANGE,SPHERE,MI,6/1/1969 3:00 +Kyle,,OVAL,TX,6/1/1969 12:00 +La Puenty,,FORMATION,CA,6/1/1969 12:00 +Sarasota,,LIGHT,FL,6/1/1969 12:00 +Barrington,,SPHERE,IL,6/1/1969 12:09 +Highwood,,DISK,MT,6/1/1969 13:00 +Oahu,,LIGHT,HI,6/1/1969 14:00 +Highwood,,DISK,MT,6/1/1969 17:00 +Falls Church,,OTHER,VA,6/1/1969 18:45 +HWY 77,,,TX,6/1/1969 21:00 +Lawrenceburg,,DISK,KY,6/1/1969 21:00 +Sausalito,,,CA,6/1/1969 21:00 +Akron,,LIGHT,OH,6/1/1969 22:00 +Athens,,RECTANGLE,NY,6/1/1969 22:00 +Orangevale,ORANGE,,CA,6/1/1969 23:00 +Philadelphia,,CIRCLE,MS,6/1/1969 23:00 +Chance,,DISK,MD,6/4/1969 1:00 +Windsor,,DISK,SC,6/5/1969 7:00 +Portland,,DISK,OR,6/10/1969 1:00 +North Wildwood,,TRIANGLE,NJ,6/10/1969 18:30 +Whitmore Lake,,LIGHT,MI,6/10/1969 22:00 +Land O'Lakes,RED,DISK,FL,6/14/1969 23:00 +Islip,,OTHER,NY,6/15/1969 6:00 +Grang junction colorado,,DISK,CO,6/15/1969 7:00 +Little Rock,,CYLINDER,AR,6/15/1969 15:00 +Kent,,OTHER,WA,6/15/1969 17:00 +Altoona,,OTHER,PA,6/15/1969 19:00 +Bryan,,TRIANGLE,TX,6/15/1969 20:00 +Fairfax,,OVAL,VA,6/15/1969 23:50 +Ronkonkoma,,,NY,6/21/1969 23:00 +Moline,,,IL,6/25/1969 0:00 +Fort Lauderdale,,OTHER,FL,6/29/1969 21:30 +Kyle,,OVAL,TX,6/30/1969 0:00 +Westphalia,,EGG,IN,6/30/1969 10:00 +Christmas Valley,,DISK,OR,6/30/1969 12:00 +Holliston,,,MA,6/30/1969 12:00 +Detroit,,LIGHT,MI,6/30/1969 15:00 +Indianapolis,,DISK,IN,6/30/1969 18:00 +Bristol,,,CT,7/1/1969 15:00 +Issaquah,,DISK,WA,7/1/1969 16:00 +Scottsdale,,,AZ,7/1/1969 18:00 +Whittier,,DISK,CA,7/1/1969 18:00 +New York Mills,,DISK,MN,7/1/1969 20:00 +Payson,YELLOW,DISK,AZ,7/1/1969 20:00 +Chambers County,,CIRCLE,AL,7/1/1969 22:15 +Lakewood,,OTHER,CO,7/4/1969 10:30 +Sunnyvale,,DISK,CA,7/4/1969 11:15 +Cachuma Lake,,OTHER,CA,7/4/1969 13:45 +Jacksonville Beach,,OTHER,FL,7/4/1969 20:00 +March AFB,,TRIANGLE,CA,7/5/1969 10:30 +Valdez,,DISK,AK,7/5/1969 10:53 +Fresno,,OTHER,CA,7/7/1969 22:00 +Brainerd,,TRIANGLE,MN,7/7/1969 23:00 +Miami,,LIGHT,FL,7/7/1969 23:30 +Salt Lake City,,CIRCLE,UT,7/10/1969 12:00 +Chariton,,CIRCLE,IA,7/10/1969 21:00 +Upper Dublin,,SPHERE,PA,7/10/1969 21:00 +Whitemarsh,,FIREBALL,PA,7/11/1969 21:00 +Bridgeport,,CIGAR,NY,7/14/1969 19:00 +South Glens,,FLASH,NY,7/15/1969 0:00 +Geneseo,,,IL,7/15/1969 1:00 +Enid,,,OK,7/15/1969 2:00 +Wasco,,DISK,OR,7/15/1969 9:00 +Cape Canaveral,,SPHERE,FL,7/15/1969 9:35 +Champaign,,DISK,IL,7/15/1969 14:00 +Peoria,,DISK,IL,7/15/1969 14:00 +Fairfax,,DISK,CA,7/15/1969 20:30 +Somerville,,LIGHT,OH,7/15/1969 22:30 +Burlington,,OTHER,WA,7/15/1969 23:00 +Hawley,ORANGE,CIRCLE,PA,7/25/1969 0:00 +Rocky Mount,,SPHERE,NC,7/27/1969 21:45 +Akron,,CIRCLE,OH,7/30/1969 13:00 +Summerville,,LIGHT,SC,7/31/1969 20:00 +Independence,,SPHERE,MO,8/1/1969 3:00 +Ohio,,OTHER,OH,8/1/1969 12:00 +Dayton,,DISK,OH,8/1/1969 17:30 +Fort Lauderdale,GREEN,LIGHT,FL,8/1/1969 20:30 +New Castle,,OVAL,PA,8/1/1969 21:00 +Minnetonka,,LIGHT,MN,8/1/1969 22:00 +North Haven,,DISK,CT,8/5/1969 19:00 +Barstow,,LIGHT,CA,8/10/1969 0:00 +Port Chester,,OTHER,NY,8/13/1969 0:30 +,YELLOW,CIRCLE,AZ,8/15/1969 1:00 +Baldwin City,,CIRCLE,KS,8/15/1969 1:00 +Johnstown,,TRIANGLE,PA,8/15/1969 2:00 +Port Jefferson,,DISK,NY,8/15/1969 12:00 +El Cajon,,OTHER,CA,8/15/1969 19:00 +East Barre,,CYLINDER,VT,8/15/1969 20:00 +Rockford,,OTHER,IL,8/15/1969 20:00 +Biola,,CIGAR,CA,8/15/1969 21:30 +Lamont,,FORMATION,CA,8/15/1969 22:00 +North Hollywood,ORANGE,SPHERE,CA,8/17/1969 2:30 +Enfield,,OVAL,ME,8/27/1969 21:00 +Walpole,,OVAL,MA,9/1/1969 2:30 +Austin,,SPHERE,TX,9/9/1969 21:10 +Merced,,,CA,9/15/1969 22:00 +Fairbanks,,CIGAR,AK,9/20/1969 23:00 +Raceland,,TRIANGLE,LA,9/29/1969 11:15 +San Francisco,,OVAL,CA,10/1/1969 16:00 +Millington,,FORMATION,TN,10/13/1969 21:15 +Memphis,,FORMATION,TN,10/13/1969 22:00 +Sharon,,OVAL,CT,10/15/1969 0:00 +Pearl,,CIGAR,MS,10/15/1969 6:00 +Portland,,CIGAR,OR,10/15/1969 13:00 +Wilmington,,CIRCLE,DE,10/15/1969 18:30 +Hurst,,DISK,TX,10/15/1969 19:00 +Miami,,VARIOUS,FL,10/15/1969 19:00 +Exeter,,CIGAR,NH,10/15/1969 21:00 +Alpine,,DISK,AZ,10/15/1969 23:30 +Erie,,CIRCLE,PA,10/25/1969 6:00 +Fulton,,CIGAR,NY,10/29/1969 21:00 +Fulton,,CIGAR,NY,10/30/1969 21:00 +Fulton,,CIGAR,NY,10/30/1969 21:00 +Fulton,ORANGE,CIRCLE,NY,10/31/1969 23:00 +San Juan Capistrano,,,CA,11/1/1969 7:00 +Fairbanks,,FORMATION,AK,11/1/1969 19:30 +Camp Pendleton,,LIGHT,CA,11/1/1969 22:00 +Hogans Camp Resort,,CIRCLE,CA,11/1/1969 22:00 +Buford,,DISK,GA,11/5/1969 1:00 +San Jose,GREEN,LIGHT,CA,11/13/1969 21:03 +Kenai,,LIGHT,AK,11/22/1969 17:00 +Glenmore,,CIRCLE,LA,12/15/1969 16:00 +Richmond,,CIRCLE,KY,12/15/1969 23:00 +Middletown,,FIREBALL,CT,12/23/1969 15:00 +Middletown,,CIRCLE,CT,12/23/1969 18:00 +Rogersville,RED,,AL,12/25/1969 21:38 +Joplin,,,MO,1/1/1970 2:00 +Grand Rapids,,DISK,MI,1/1/1970 12:00 +Candia,,LIGHT,NH,1/5/1970 22:00 +Hemet,BLUE,CYLINDER,CA,1/15/1970 21:00 +Lake Wales,,OVAL,FL,1/16/1970 19:00 +Danville,,EGG,NH,1/20/1970 15:00 +San Mateo,,SPHERE,CA,1/22/1970 10:00 +Denver,ORANGE GREEN BLUE,CIGAR,CO,1/24/1970 20:15 +Los Angeles,,DISK,CA,2/10/1970 20:30 +Colorado Springs,,,CO,2/15/1970 0:00 +Lafayette,,DISK,CA,2/15/1970 22:00 +Ft. Dix,,CIRCLE,NJ,2/20/1970 5:00 +Columbus,ORANGE,OTHER,GA,2/20/1970 19:30 +Cutler Ridge,,LIGHT,FL,2/22/1970 22:00 +St. Petersburg,,DISK,FL,3/10/1970 0:00 +Monessen,,CYLINDER,PA,3/12/1970 3:00 +Fort Worth,,DISK,TX,3/20/1970 16:00 +Camp Pendleton,,DISK,CA,3/21/1970 20:00 +Slocomb,,CIRCLE,AL,3/30/1970 21:00 +Interstate 40,,LIGHT,AZ,4/15/1970 3:00 +East Aurora,,EGG,NY,4/15/1970 21:30 +Evansville,,DISK,IN,4/20/1970 14:00 +New York City,,OTHER,NY,5/1/1970 0:00 +New York City,,OTHER,NY,5/1/1970 0:00 +Houston,,DISK,TX,5/1/1970 3:00 +Oak Ridge,,DISK,TN,5/1/1970 14:30 +La Grange,,CIRCLE,IL,5/1/1970 15:30 +New York City,,VARIOUS,NY,5/5/1970 19:00 +Kansas City,GREEN,LIGHT,MO,5/15/1970 16:00 +Vero Beach,,OVAL,FL,5/16/1970 17:00 +Tampa,ORANGE,OVAL,FL,5/18/1970 2:00 +Reading,,TRIANGLE,PA,5/20/1970 23:30 +Ritter,,DISK,OR,6/1/1970 0:00 +Hopewell,,DISK,VA,6/1/1970 1:00 +Burlingame,,DISK,CA,6/1/1970 11:00 +Hilmar,,DISK,CA,6/1/1970 15:00 +Rogers Dry Lake,,OVAL,CA,6/1/1970 15:30 +Columbus,,DISK,OH,6/1/1970 17:00 +Fulton,,CIRCLE,NY,6/1/1970 17:00 +Medford,,OVAL,MA,6/1/1970 19:30 +New York City,,DISK,NY,6/1/1970 19:30 +Westfield,,DISK,IA,6/1/1970 22:00 +Russia,,,OH,6/1/1970 23:00 +Cleveland,,DISK,OH,6/5/1970 0:50 +Downers Grove,,DISK,IL,6/6/1970 0:00 +Maui,,EGG,HI,6/6/1970 3:00 +Not sure,,DISK,CA,6/8/1970 10:00 +Eureka,,OVAL,CA,6/9/1970 15:00 +Kalispell,,CIGAR,MT,6/10/1970 13:00 +Princess Anne,ORANGE,OVAL,MD,6/10/1970 17:00 +Huntington,,,NY,6/10/1970 19:00 +West Ocean City,,LIGHT,MD,6/10/1970 21:00 +Geneseo,,,IL,6/15/1970 2:00 +Houston,,DISK,TX,6/15/1970 3:00 +Oxford,,OTHER,IN,6/15/1970 11:00 +Milford,,DISK,CT,6/15/1970 13:00 +San Bruno Mountain Ranges,,DISK,CA,6/15/1970 15:00 +Yorktown Heights,,LIGHT,NY,6/15/1970 18:00 +Chicago,,CIRCLE,IL,6/15/1970 19:00 +CT,,CIRCLE,RI,6/15/1970 19:30 +River Pines,,DISK,CA,6/15/1970 20:00 +Snowbank Lake,,DISK,MN,6/15/1970 21:00 +Malibu Canyon,,,CA,6/15/1970 23:30 +Whitmire,,CIRCLE,SC,6/17/1970 0:00 +Cheyenne,,CIRCLE,WY,6/20/1970 2:00 +West Jefferson,ORANGE,SPHERE,NC,6/23/1970 21:00 +Poughkeepsie,,DISK,NY,6/25/1970 15:00 +Honolulu,,SPHERE,HI,6/30/1970 1:00 +Kent,GREEN BLUE,DISK,WA,6/30/1970 23:00 +San Antonio,,OVAL,TX,7/1/1970 0:00 +Warren,,DISK,MI,7/1/1970 19:00 +Lockport,,LIGHT,IL,7/1/1970 23:30 +McLean,,OTHER,VA,7/7/1970 1:00 +La Habra,ORANGE,SPHERE,CA,7/7/1970 20:00 +Lansing,ORANGE,LIGHT,MI,7/11/1970 20:30 +Bemus Point,,OTHER,NY,7/15/1970 2:00 +Provo,,DISK,UT,7/15/1970 11:00 +South Windsor,,OVAL,CT,7/15/1970 19:00 +Indian Orchard,,,MA,7/15/1970 20:00 +Tyre,,OTHER,NY,7/15/1970 21:30 +Roseville,,DISK,CA,7/15/1970 22:00 +Pittsfield,,LIGHT,MA,7/15/1970 23:30 +Pearl Harbor,,,HI,7/16/1970 23:00 +Custer,,LIGHT,MT,7/18/1970 23:00 +Englewood,,SPHERE,FL,7/20/1970 19:00 +Kindred,,OVAL,ND,7/20/1970 19:00 +Levittown,,DISK,NY,7/20/1970 21:15 +Newark,,OVAL,NY,7/20/1970 22:00 +Grand Blanc,,,MI,7/22/1970 3:00 +Grand Blanc,,LIGHT,MI,7/22/1970 3:00 +Stockton,,FIREBALL,CA,7/22/1970 20:00 +Cottonwood,,CYLINDER,AZ,7/26/1970 23:30 +,,,NH,8/1/1970 9:30 +Racine,,,HI,8/1/1970 18:45 +Pompano Beach,,OTHER,FL,8/1/1970 20:00 +Everton,,LIGHT,MO,8/1/1970 21:00 +Palmdale,,CYLINDER,CA,8/1/1970 21:30 +Ocean City,,DISK,NJ,8/15/1970 0:30 +Newport,,RECTANGLE,RI,8/15/1970 12:00 +Seymore,,DISK,IL,8/15/1970 20:00 +Spring City,,FIREBALL,TN,8/20/1970 1:00 +Sebastian,,,FL,8/22/1970 21:30 +Toms River,,SPHERE,NJ,8/24/1970 23:50 +Brady,,CIRCLE,TX,8/26/1970 9:30 +Brady,,DISK,TX,8/26/1970 23:00 +Los Angeles,,DISK,CA,9/1/1970 14:00 +Pittsburgh,,DISK,PA,9/7/1970 23:11 +Mundelin,,DISK,IL,9/10/1970 11:00 +San Angelo,,LIGHT,TX,9/10/1970 21:30 +Deer Creek,,DIAMOND,CA,9/15/1970 7:30 +Sturgeon,,,MO,9/15/1970 20:00 +Russellton,ORANGE,TRIANGLE,PA,9/20/1970 20:00 +Quincy,BLUE,,IL,9/21/1970 18:30 +Homestead,,LIGHT,FL,9/22/1970 1:00 +New York City,,SPHERE,NY,9/22/1970 23:00 +New York City,,DISK,NY,10/1/1970 16:00 +Bentonville,,OTHER,AR,10/1/1970 17:30 +Summit Lake Indian Reservation,,OVAL,NV,10/1/1970 19:00 +Tampa,,OTHER,FL,10/1/1970 19:00 +New York City,,DISK,NY,10/1/1970 21:00 +Bellmore,,DISK,NY,10/10/1970 16:00 +Manchester,,,KY,10/10/1970 19:00 +Westland,,,MI,10/15/1970 10:00 +San Diego,,LIGHT,CA,10/15/1970 23:00 +Lindenhurst,,SPHERE,NY,10/29/1970 19:50 +Corpus Christi,,OVAL,TX,10/30/1970 3:00 +Rochester,RED,,NY,11/1/1970 20:30 +Beardstown,,LIGHT,IL,11/5/1970 1:00 +Franklin,,SPHERE,TN,11/7/1970 21:00 +Columbus,RED,SPHERE,OH,11/15/1970 20:00 +Somerville,,DISK,NJ,11/15/1970 21:00 +Union,,DISK,NJ,12/1/1970 16:30 +Albuquerque,,OTHER,NM,12/5/1970 20:00 +Newton Centre,YELLOW,OTHER,MA,12/15/1970 21:00 +Meriden,,,CT,12/20/1970 17:00 +Lake Wales,,OVAL,FL,12/21/1970 19:00 +Colorado Springs,,RECTANGLE,CO,12/24/1970 0:00 +Berlin,,CYLINDER,NJ,12/24/1970 18:00 +Tewksbury,,,MA,1/7/1971 22:00 +Waverly Hall,,CIRCLE,GA,2/1/1971 18:30 +Gorham,,LIGHT,NH,2/1/1971 19:00 +Conshohocken,,CIRCLE,PA,2/5/1971 18:45 +Havensville,,CIRCLE,KS,2/5/1971 20:30 +Everglades,,DISK,FL,2/15/1971 0:00 +Savannah,,CIRCLE,GA,2/15/1971 19:00 +Deltona,,VARIOUS,FL,2/15/1971 21:00 +Los Angeles,,OTHER,CA,3/3/1971 18:00 +Boulder Creek,,CIGAR,CA,4/1/1971 21:00 +Santa Rosa,,LIGHT,CA,4/3/1971 20:00 +Orlando,,DISK,FL,4/5/1971 18:00 +Talladega,,DISK,AL,4/5/1971 19:00 +Osceola,,DISK,IA,4/6/1971 20:00 +Carrolton,,CIRCLE,GA,4/11/1971 23:00 +Dennis,,,MA,4/14/1971 20:00 +Rural New Mexico,,TRIANGLE,NM,4/15/1971 3:15 +Burlington,,CIRCLE,NC,4/15/1971 15:30 +Thomasville,,DISK,GA,4/15/1971 21:00 +Lewisburg,,TRIANGLE,WV,5/1/1971 2:00 +Cherokee,,LIGHT,AL,5/1/1971 19:00 +Molson,,CIRCLE,WA,5/5/1971 18:00 +New Martinsville,,LIGHT,WV,5/5/1971 20:00 +Cowpen,,CONE,SC,5/15/1971 16:00 +Irmo,,CIRCLE,SC,5/20/1971 16:00 +Kennett Square,,DISK,PA,5/21/1971 18:00 +Palos Verde,,SPHERE,CA,5/29/1971 21:00 +Holliday,,DISK,TX,6/1/1971 1:00 +Newport,,LIGHT,TN,6/1/1971 1:00 +Westminster,,FLASH,CO,6/1/1971 3:00 +Albany,ORANGE,DISK,GA,6/1/1971 8:00 +Vancouver,,DISK,WA,6/1/1971 11:30 +Berne,,DISK,IN,6/1/1971 14:00 +Forrest City,,DISK,AR,6/1/1971 17:00 +Moultrie,,CIGAR,GA,6/1/1971 21:00 +Victorville,,LIGHT,CA,6/6/1971 21:00 +Fremont,,CIRCLE,CA,6/10/1971 9:00 +Allen,,SPHERE,MD,6/10/1971 10:00 +Goodman,,DISK,MO,6/10/1971 11:00 +Portage,,CIGAR,WI,6/10/1971 15:00 +Spokane,,DISK,WA,6/10/1971 15:50 +Broken Bow,,TRIANGLE,OK,6/14/1971 20:45 +Sparta,,OVAL,NJ,6/15/1971 0:45 +Brockton,,DISK,MA,6/15/1971 11:00 +Orange,,DISK,CA,6/15/1971 12:00 +Chuluota,,TRIANGLE,FL,6/15/1971 20:00 +Santa Clara,,DISK,CA,6/15/1971 20:00 +Karnes County,ORANGE,CIRCLE,TX,6/15/1971 23:10 +Sunnyvale,,OTHER,CA,6/27/1971 23:00 +Vandenberg AFB,,DISK,CA,6/30/1971 1:00 +Yellowstone National Park,,EGG,WY,6/30/1971 14:00 +Morrice,,DISK,MI,6/30/1971 20:00 +Ashland,,DISK,VA,6/30/1971 21:00 +Dayton,,OVAL,OH,6/30/1971 22:00 +Georgia,,CIRCLE,GA,7/1/1971 13:00 +Morgantown-Martinsville area,,OTHER,IN,7/1/1971 20:00 +Santa Barbara,,,CA,7/4/1971 19:00 +Liberal,,CIGAR,KS,7/4/1971 22:00 +Colorado River Highway,,CHEVRON,AZ,7/5/1971 3:00 +New Orleans,,OVAL,LA,7/10/1971 14:00 +St. Cloud,,LIGHT,MN,7/10/1971 18:00 +Danese,,,WV,7/14/1971 22:00 +Genoa,,CIGAR,WV,7/15/1971 12:00 +Big Rapids,,OVAL,MI,7/15/1971 18:00 +Steelville,,LIGHT,MO,7/15/1971 20:00 +Hancock,,FORMATION,MI,7/15/1971 22:00 +Wauwatosa,,DISK,WI,7/17/1971 21:00 +Kelso,,TRIANGLE,WA,7/20/1971 4:00 +Manchester,,LIGHT,CT,7/20/1971 21:00 +New Goshen,,DIAMOND,IN,7/20/1971 22:00 +Tucson,,TEARDROP,AZ,7/22/1971 0:15 +Allentown,,LIGHT,PA,7/25/1971 0:00 +Puyallup,,CIRCLE,WA,7/25/1971 23:40 +Bolivar,ORANGE,CIGAR,MO,7/30/1971 18:00 +Lamoille,,CIGAR,NV,8/1/1971 15:00 +Goldsmith,,LIGHT,TX,8/1/1971 20:00 +Fredonia,,,AL,8/1/1971 21:00 +Kauai,,DISK,HI,8/2/1971 20:00 +Holt,,DISK,CA,8/9/1971 23:00 +Corning,,DISK,NY,8/10/1971 22:00 +Fallsburg,,CROSS,NY,8/11/1971 13:00 +Beavercreek,,LIGHT,OH,8/15/1971 19:00 +Woodland,,LIGHT,WA,8/15/1971 23:00 +Nuevo Laredo,,FORMATION,TX,8/17/1971 18:30 +Quonsett Pt. NAS,,OTHER,RI,8/17/1971 22:15 +Oakland,,DISK,CA,8/19/1971 0:00 +North Ridgeville,,CIRCLE,OH,8/20/1971 21:30 +FREEWAY BY AIR FORCE BASE,,CIGAR,CA,9/1/1971 4:00 +Humboldt,,CIGAR,IA,9/1/1971 8:00 +Dexter,,SPHERE,ME,9/1/1971 14:00 +Buffalo,,TRIANGLE,NY,9/1/1971 15:00 +Orono,RED,RECTANGLE,ME,9/1/1971 22:00 +Forest Grove,,CIRCLE,MI,9/1/1971 22:30 +Indianapolis,,OTHER,IN,9/10/1971 19:00 +Mojave Desert,,DISK,CA,9/15/1971 1:00 +San Antonio,RED,OVAL,TX,9/15/1971 10:30 +Houston,,CIRCLE,TX,9/15/1971 18:00 +Crescent City,,,CA,9/15/1971 19:00 +Blacksburg,,DISK,SC,9/15/1971 20:00 +Hazlet,,DISK,NJ,9/15/1971 23:00 +Woodland,,DISK,WA,9/20/1971 16:00 +St. Marys,,CIGAR,PA,9/30/1971 7:30 +Pasadena,,DISK,CA,10/1/1971 22:00 +Lexington,,OVAL,NC,10/10/1971 21:00 +Menands,,CHEVRON,NY,10/12/1971 22:00 +Bristol,,DISK,CT,10/13/1971 21:00 +Lago Vista,,FORMATION,TX,10/15/1971 0:00 +Bremerton,,DISK,WA,10/15/1971 18:00 +Litchfield,,CIRCLE,CT,10/15/1971 20:30 +Tinley Park,,DISK,IL,10/15/1971 20:30 +Bristol,,TRIANGLE,CT,10/29/1971 16:00 +Holliston,,,MA,10/29/1971 18:45 +Monterey Park,,CIRCLE,CA,11/12/1971 16:45 +Lake Victor,,SPHERE,TX,11/15/1971 21:00 +Knox,,DISK,NY,11/17/1971 21:00 +Vindoen Island,YELLOW,DISK,OH,11/22/1971 8:05 +Mountainview,,TRIANGLE,CA,12/20/1971 16:00 +Oxnard,BLUE,SPHERE,CA,12/25/1971 8:00 +Seattle,,TRIANGLE,WA,1/1/1972 16:00 +Huntsville,,,AL,1/1/1972 20:00 +Gering,,LIGHT,NE,1/5/1972 19:30 +Malmstrom AFB,,,MT,1/15/1972 23:00 +Blacksburg,,LIGHT,SC,1/18/1972 21:00 +Cherry Hill,,,NJ,2/20/1972 6:30 +Salinas,,CIGAR,CA,3/1/1972 23:30 +Scottsville,,DISK,KY,3/4/1972 2:00 +Chicago,,OTHER,IL,3/8/1972 18:00 +Los Lunas,,,NM,3/15/1972 1:00 +Panama City,,SPHERE,FL,3/15/1972 19:00 +Millers Falls,,,MA,3/15/1972 22:00 +Anaheim,,CYLINDER,CA,3/20/1972 17:30 +Boca Raton,,TEARDROP,FL,3/24/1972 20:30 +Indianapolis,,DISK,IN,4/1/1972 19:00 +Sulphur Springs,BLUE,DISK,TX,4/1/1972 20:00 +New Mexico,,,NM,5/1/1972 1:00 +Moline,,SPHERE,IL,5/1/1972 18:00 +Port Penn,BLUE,,DE,5/1/1972 18:30 +Hico,,DISK,TX,5/5/1972 3:00 +Livingston,,FIREBALL,MT,5/8/1972 16:00 +Schaumburg,,OVAL,IL,5/15/1972 22:00 +Wilmington,,OTHER,DE,5/30/1972 17:00 +Gautier,,OTHER,MS,6/1/1972 0:00 +Oxford,,LIGHT,MI,6/1/1972 0:00 +Two Egg Mariana,,CIRCLE,FL,6/1/1972 2:30 +Burnsville,,CYLINDER,NC,6/1/1972 6:00 +Nevada Desert,,OVAL,NV,6/1/1972 12:00 +Austin,,LIGHT,TX,6/1/1972 18:00 +Farmers Branch,,SPHERE,TX,6/1/1972 18:00 +Shelter Cove,,DISK,CA,6/1/1972 19:20 +Monterey,,,CA,6/1/1972 20:00 +Stratford,,CIGAR,WI,6/1/1972 20:00 +Newnan,,,GA,6/1/1972 21:00 +Greenville,GREEN,CIRCLE,SC,6/1/1972 21:30 +Bilxoi,,DISK,MS,6/1/1972 22:00 +Sierra Vista,,SPHERE,AZ,6/1/1972 22:00 +Texas City,ORANGE,LIGHT,TX,6/1/1972 22:00 +Winnebago,,TRIANGLE,IL,6/1/1972 22:00 +Moreland,,LIGHT,KY,6/1/1972 22:30 +Vienna,,CIGAR,MO,6/1/1972 23:00 +Tate,,CIRCLE,GA,6/1/1972 23:30 +Asheville,,OTHER,NC,6/2/1972 5:00 +Lyndhurst,,OVAL,OH,6/7/1972 14:00 +Anderson,RED ORANGE,CIRCLE,CA,6/9/1972 13:00 +Millerton,BLUE,DISK,NY,6/10/1972 0:00 +LaCoste,,CIRCLE,TX,6/10/1972 5:00 +Broadelbin,,LIGHT,NY,6/11/1972 22:00 +Allentown,,CHEVRON,PA,6/14/1972 22:15 +Ohio City,,DISK,OH,6/15/1972 0:00 +Two Egg,,CIRCLE,FL,6/15/1972 2:00 +Union Grove,,FORMATION,AL,6/15/1972 20:30 +Chermont,,OTHER,FL,6/15/1972 21:00 +Greensboro,RED,DISK,NC,6/15/1972 21:00 +Lowell,,OTHER,OH,6/15/1972 22:00 +Provo,,DISK,UT,6/16/1972 18:30 +Pocono Mts.,,LIGHT,PA,6/20/1972 5:30 +Arlington Heights,,DISK,IL,6/20/1972 16:00 +Arlington Heights,,DISK,IL,6/20/1972 16:00 +Los Angeles,,LIGHT,CA,6/20/1972 20:00 +Oregon City,,TRIANGLE,OR,6/22/1972 3:15 +Williamsport,,CIGAR,PA,6/22/1972 18:00 +Millerton,,DISK,NY,6/22/1972 23:45 +Buffalo,RED,DISK,NY,6/24/1972 23:00 +Albany,,CIGAR,NY,6/25/1972 15:00 +Arroy Seco,GREEN,CIRCLE,CA,6/30/1972 0:00 +Fairfield,,FIREBALL,CA,6/30/1972 0:00 +Loomis,,,CA,6/30/1972 0:00 +Roanoke,,,VA,6/30/1972 3:30 +Roanoke,,OVAL,FL,6/30/1972 3:30 +Burnsville,,CIRCLE,NC,6/30/1972 5:00 +Dallas,GREEN,,TX,6/30/1972 12:00 +Sanford,,CIRCLE,FL,6/30/1972 14:00 +Fort Stockton,,OTHER,TX,6/30/1972 15:00 +Beachwood,,DISK,OH,6/30/1972 16:30 +Tarpon Springs,,LIGHT,FL,6/30/1972 18:00 +Lenoir,,DISK,NC,6/30/1972 19:00 +Hutsonville,,DISK,IL,6/30/1972 20:00 +Conway,,DISK,NC,6/30/1972 21:00 +Greensboro,ORANGE,LIGHT,NC,6/30/1972 21:00 +Highway,,CIRCLE,KS,6/30/1972 21:00 +Fort Collins,,OTHER,CO,6/30/1972 23:00 +Osowatomie,,CIRCLE,KS,6/30/1972 23:00 +Goshen,BLUE,OVAL,WI,7/1/1972 0:00 +Stone Mountain,,CIRCLE,GA,7/1/1972 3:00 +Salt Lake,,OVAL,UT,7/1/1972 12:00 +Bedford Park,,OTHER,IL,7/1/1972 15:00 +Provo,,DISK,UT,7/1/1972 19:00 +Campbell,,OVAL,CA,7/1/1972 21:30 +Rehobeth Beach,RED YELLOW,DISK,DE,7/4/1972 21:00 +Powell,,FIREBALL,WY,7/5/1972 1:00 +Park City,,DISK,KS,7/5/1972 14:00 +Bryan,,TRIANGLE,TX,7/9/1972 21:00 +Southington,,DISK,CT,7/12/1972 12:15 +East Brunswick,,DISK,NJ,7/15/1972 0:00 +Sioux Falls,,CYLINDER,SD,7/15/1972 0:00 +Kekaha Highway,,CIRCLE,HI,7/15/1972 13:00 +Brea,,OTHER,CA,7/15/1972 16:00 +Indianapolis,RED YELLOW,CIGAR,IN,7/15/1972 17:00 +Morton,ORANGE,TRIANGLE,MN,7/15/1972 17:00 +Chesterfield,,CIGAR,NH,7/15/1972 20:00 +Houston,,LIGHT,TX,7/15/1972 20:00 +Cincinnati,,TRIANGLE,PA,7/15/1972 21:00 +El Paso,,LIGHT,TX,7/15/1972 22:00 +Medford,,LIGHT,OR,7/15/1972 22:00 +Mariemont,,OVAL,OH,7/15/1972 23:00 +Williamsport,,FIREBALL,PA,7/20/1972 15:00 +Wayland,,LIGHT,MA,7/21/1972 22:00 +West Pittson,,CIRCLE,PA,7/28/1972 0:00 +Mojave,,LIGHT,CA,7/30/1972 18:00 +Phoenix,,DISK,AZ,8/1/1972 15:00 +Ponca City,,LIGHT,OK,8/2/1972 2:00 +Tucson,,CYLINDER,AZ,8/2/1972 23:00 +High Island,,LIGHT,TX,8/4/1972 23:00 +Bloomington,,CIRCLE,IL,8/10/1972 12:10 +Cincinnati,,DIAMOND,OH,8/10/1972 16:00 +Milford,,CIRCLE,CT,8/14/1972 6:00 +Ellensburg,,CIRCLE,WA,8/15/1972 1:00 +Mt. Sterling,,DISK,OH,8/15/1972 1:00 +Roanoke,,CIRCLE,VA,8/15/1972 9:00 +Aberdeen,,TRIANGLE,MD,8/18/1972 1:30 +Milwaukie,,LIGHT,OR,8/20/1972 19:00 +Sayreville,GREEN,LIGHT,NJ,8/22/1972 22:30 +Coldwater,,TRIANGLE,AL,8/25/1972 8:30 +Cincinnati,,DIAMOND,OH,8/25/1972 17:00 +Waukesha,,OVAL,WI,8/28/1972 1:15 +Bixby South,,CIRCLE,OK,8/28/1972 23:15 +Anchorage,BLUE,CIRCLE,AK,8/30/1972 1:30 +Onawa,RED,DISK,IA,9/1/1972 10:00 +Lago Vista,,LIGHT,TX,9/1/1972 19:00 +Loveland,,DISK,OH,9/1/1972 22:00 +Panama City,,,FL,9/15/1972 3:00 +Tupelo,,OVAL,MS,9/15/1972 7:00 +Maple Valley,,DISK,WA,9/15/1972 18:00 +Rensselaer,,LIGHT,IN,9/15/1972 21:00 +Hermann,ORANGE GREEN,DISK,MO,9/20/1972 16:00 +Hartville,,CHEVRON,MO,9/20/1972 17:30 +Sweet Home,,,OR,10/1/1972 0:00 +Potwin,,,KS,10/1/1972 1:00 +Denton,,,TX,10/1/1972 4:00 +Mosheim,,DISK,TX,10/1/1972 20:00 +Monroe,,RECTANGLE,WA,10/1/1972 23:00 +Pickens,,CHEVRON,SC,10/1/1972 23:00 +Greenville,,LIGHT,SC,10/4/1972 22:00 +Fortuna,,SPHERE,CA,10/5/1972 21:45 +Eatonton,,DISK,GA,10/8/1972 18:45 +Harlan County,,CIRCLE,KY,10/10/1972 19:00 +West Bloomfield,,DISK,MI,10/10/1972 22:30 +North Tarrytown,,DISK,NY,10/15/1972 16:00 +New Albany,,DISK,IN,10/17/1972 21:00 +Wellsville,,DISK,NY,10/25/1972 20:00 +Monroeville,,CYLINDER,AL,10/29/1972 15:30 +Winding Stair Camp Ground,,LIGHT,OK,11/1/1972 1:00 +Trinidad,,LIGHT,CA,11/1/1972 8:00 +Crescent City,,,CA,11/1/1972 19:30 +Hiawassee,,CIRCLE,GA,11/1/1972 22:00 +Tucson,,TRIANGLE,AZ,11/8/1972 20:00 +Lebanon,,OVAL,TN,11/20/1972 21:00 +Chattanooga,,CIRCLE,TN,12/1/1972 17:00 +Eddington,,CIRCLE,ME,12/1/1972 19:00 +Osowatomie,,CIRCLE,KS,12/1/1972 20:00 +Colorado Springs,,DISK,CO,12/24/1972 2:00 +Chattanooga,,OVAL,TN,1/1/1973 23:30 +Mussel Shoals,ORANGE,OVAL,AL,1/8/1973 21:00 +Farmington,,LIGHT,NM,1/12/1973 3:00 +Scranton,,RECTANGLE,PA,1/14/1973 19:00 +Glendora,,DISK,CA,1/28/1973 23:38 +Honolulu,BLUE,SPHERE,HI,2/1/1973 22:00 +Port Sulphur,,CIRCLE,LA,2/1/1973 23:00 +Roanoke,,SPHERE,VA,2/2/1973 21:00 +Fort Rucker,,LIGHT,AL,2/3/1973 16:00 +Houston,,RECTANGLE,TX,2/10/1973 16:00 +Lake Okeechoobee,,,FL,2/15/1973 22:00 +Santa Fe,,,NM,3/1/1973 1:00 +Winston-Salem,,LIGHT,NC,3/1/1973 6:00 +St. Augustine,,LIGHT,FL,3/1/1973 20:00 +Plain,,OTHER,WA,3/12/1973 2:00 +New Orleans,,CIRCLE,LA,3/13/1973 4:00 +Inkster,,FIREBALL,MI,3/15/1973 5:00 +Hartford,,TRIANGLE,CT,3/15/1973 17:00 +Sacramento,,CYLINDER,CA,3/23/1973 17:00 +Lufkin,,DISK,TX,4/1/1973 0:00 +Houston,,DISK,TX,4/5/1973 21:30 +Goose Creek,BLUE,CIRCLE,SC,4/15/1973 11:00 +Mayfield,,CIGAR,KY,4/15/1973 15:00 +Glenolden,,OVAL,PA,4/15/1973 18:30 +Oakcliff,RED GREEN,CIRCLE,TX,4/16/1973 16:00 +Grand Chenier,,SPHERE,LA,4/25/1973 18:30 +Ocean Springs,,TRIANGLE,MS,4/28/1973 20:00 +Gaithersburg,GREEN,DISK,MD,5/1/1973 9:00 +Brownfield,,LIGHT,TX,5/1/1973 14:00 +Rockville,,OTHER,MD,5/1/1973 20:00 +Texas City,,DISK,TX,5/1/1973 20:00 +Hampton,ORANGE,FIREBALL,AR,5/5/1973 3:00 +San Luis Obispo,,,CA,5/14/1973 16:00 +Madison,,DISK,AL,5/14/1973 20:00 +Tacoma,,SPHERE,WA,5/15/1973 1:30 +Chugiak,,RECTANGLE,AK,5/15/1973 22:00 +Huntsville,,DISK,AL,5/19/1973 20:10 +Huntsville,,CYLINDER,AL,5/21/1973 20:00 +Peoria,,OVAL,IL,5/23/1973 0:00 +Bentonville,,OTHER,AR,6/1/1973 0:00 +Schenectady,,CIRCLE,NY,6/1/1973 0:00 +Sultan,,CIRCLE,WA,6/1/1973 0:00 +Folkston,,LIGHT,GA,6/1/1973 2:00 +Oak Harbor,,,WA,6/1/1973 3:00 +San Rafael,,OVAL,CA,6/1/1973 13:00 +Gainsville,,SPHERE,GA,6/1/1973 18:00 +Eddington,,CIRCLE,ME,6/1/1973 19:00 +Landis,,LIGHT,NC,6/1/1973 19:30 +Austin,,SPHERE,TX,6/1/1973 21:00 +Fredericktown,,LIGHT,MO,6/1/1973 21:00 +Pensacola,,CIRCLE,FL,6/1/1973 21:00 +Honolulu,,DISK,HI,6/1/1973 22:30 +Larchwood,,DIAMOND,IA,6/6/1973 22:00 +Brockton,,SPHERE,MA,6/6/1973 23:00 +La Porte,,DISK,TX,6/7/1973 15:00 +Clearfield,,LIGHT,PA,6/8/1973 17:00 +St. Charles,,SPHERE,MO,6/10/1973 21:00 +Irwin,,OTHER,PA,6/12/1973 21:00 +Blackhawk,,CIRCLE,CO,6/15/1973 0:00 +Mechanicsburg,RED,DISK,PA,6/15/1973 0:00 +Fort Lawn,,OVAL,SC,6/15/1973 6:00 +Huntington Beach,,CIGAR,CA,6/15/1973 6:00 +Los Alamos,,CIGAR,NM,6/15/1973 8:00 +Hillsboro,RED,CIRCLE,WV,6/15/1973 14:00 +Bridgeport,,DISK,AL,6/15/1973 15:30 +Tampa,,CIGAR,FL,6/15/1973 19:30 +River Vale,,CIRCLE,NJ,6/15/1973 20:00 +Decatur,,CIRCLE,AL,6/15/1973 21:00 +Medaryville,,DISK,IN,6/15/1973 21:00 +Ballwin,,DISK,MO,6/15/1973 21:30 +Upper Freehold,RED GREEN,DISK,NJ,6/15/1973 21:50 +Citrus Heights,,CHEVRON,CA,6/15/1973 22:00 +Hampton,BLUE,FORMATION,VA,6/15/1973 22:00 +Whitesburg,,LIGHT,KY,6/15/1973 22:00 +Calera,,DISK,AL,6/15/1973 22:30 +San Jose,,TRIANGLE,CA,6/15/1973 22:30 +Weslaco,ORANGE,FORMATION,TX,6/15/1973 23:00 +Teterboro Airport,,CIGAR,NJ,6/21/1973 2:00 +Jackson,,OVAL,TN,6/21/1973 21:00 +Hinsdale,,DISK,MA,6/22/1973 10:00 +East Liverpool,,SPHERE,OH,6/25/1973 22:00 +Los Alamos,,,NM,6/30/1973 0:00 +Ocala,,,FL,6/30/1973 2:00 +Whitesburg,,CIGAR,KY,6/30/1973 17:30 +West Allis,,LIGHT,WI,6/30/1973 20:00 +Newport Beach,,FORMATION,CA,6/30/1973 23:00 +Dobson,,DISK,MT,7/1/1973 0:00 +Erie,,LIGHT,PA,7/1/1973 0:00 +Titusville,,,PA,7/1/1973 0:00 +Gaithersburg,GREEN,DISK,MD,7/1/1973 8:00 +Perth,ORANGE,LIGHT,NY,7/1/1973 20:00 +Powell,,SPHERE,OK,7/1/1973 20:00 +Macon,,DISK,GA,7/1/1973 21:00 +Richmond,,OTHER,CA,7/1/1973 21:00 +Alabama,,,AL,7/1/1973 22:00 +Wolf Lake,,LIGHT,IN,7/1/1973 22:00 +Fort Huachuca,,OTHER,AZ,7/1/1973 22:30 +Oakcliff,,DISK,TX,7/4/1973 8:00 +Powell,,,WY,7/5/1973 1:00 +Stockton,,VARIOUS,CA,7/5/1973 20:00 +Portland,,FIREBALL,OR,7/7/1973 17:30 +Odessa,,DISK,TX,7/7/1973 18:00 +Odessa,,DISK,TX,7/7/1973 18:00 +Odessa,,DISK,TX,7/7/1973 18:00 +Greensboro,,CIGAR,NC,7/8/1973 20:30 +Bar Harbor,,CIRCLE,ME,7/10/1973 0:00 +Norwalk,,CIGAR,CT,7/12/1973 0:00 +Green Bay,,OTHER,WI,7/14/1973 1:00 +Lexington,,OVAL,NC,7/14/1973 20:00 +Rochester,,SPHERE,NY,7/15/1973 16:30 +Columbus?,,OTHER,OH,7/15/1973 18:00 +Poland,,CONE,OH,7/15/1973 18:00 +Connellsville,,TRIANGLE,PA,7/15/1973 20:00 +Cleveland,,OVAL,OH,7/15/1973 21:00 +Dallas,,CIRCLE,TX,7/15/1973 21:00 +Decatur,,TRIANGLE,GA,7/15/1973 21:00 +Asheville,ORANGE,DISK,NC,7/17/1973 21:00 +Martinsburg,,DISK,WV,7/20/1973 19:00 +Salem,RED,CIRCLE,IL,7/20/1973 21:30 +Kenosha,,OTHER,WI,7/22/1973 1:00 +Warm Springs,GREEN,DISK,OR,7/22/1973 9:00 +Gilmanton,,CIRCLE,NH,7/22/1973 19:45 +Nags Head,GREEN,,NC,7/23/1973 20:10 +Blackfoot,,TRIANGLE,ID,7/24/1973 2:24 +St. Croix Falls,,DIAMOND,WI,7/24/1973 5:32 +Milwaukee,,,WI,7/25/1973 20:00 +Burlington,,DISK,NC,7/31/1973 18:20 +Morrow,,TRIANGLE,GA,8/1/1973 0:00 +Scituate,,TRIANGLE,MA,8/1/1973 0:00 +Kittery,,FORMATION,ME,8/1/1973 4:00 +Steubenville,,CYLINDER,OH,8/1/1973 13:00 +Appleton,ORANGE,,WI,8/1/1973 22:00 +Piedmont,,OVAL,MO,8/1/1973 22:00 +Charles City Co.,,CIGAR,VA,8/2/1973 21:30 +San Antonio,,SPHERE,TX,8/3/1973 21:45 +Irvington,,OVAL,NJ,8/3/1973 22:00 +Victory Lakes,,OVAL,NJ,8/5/1973 20:00 +Denver,,TRIANGLE,CO,8/6/1973 22:00 +Kenosha,,DISK,WI,8/10/1973 14:50 +West Hazleton,,DISK,PA,8/12/1973 20:00 +Mriemont,,OVAL,OH,8/12/1973 23:30 +San Diego,,,CA,8/15/1973 0:00 +Phillipsburg,,DISK,NJ,8/15/1973 19:00 +Farmers Branch,,DISK,TX,8/15/1973 20:00 +South China,,SPHERE,ME,8/15/1973 21:00 +Hudson,RED,TRIANGLE,KS,8/15/1973 21:30 +Takoma Park,,SPHERE,MD,8/15/1973 22:00 +Brocton,,DISK,NY,8/15/1973 23:00 +Yellville,,LIGHT,AR,8/19/1973 19:00 +Poland,,TRIANGLE,OH,8/20/1973 19:00 +Hallandale,,DISK,FL,8/25/1973 21:30 +Robbins AFB,BLUE,CIRCLE,GA,9/1/1973 20:00 +Elyria,,,OH,9/3/1973 9:00 +Lewisburg,,TRIANGLE,PA,9/8/1973 20:00 +Moss Point,,CIRCLE,MS,9/10/1973 17:00 +San Antonio,,CIRCLE,TX,9/12/1973 23:00 +Nassau,RED,DISK,FL,9/14/1973 23:00 +Laguna Beach,,,CA,9/15/1973 2:00 +Little Meadows,RED BLUE,OVAL,PA,9/15/1973 19:15 +Baldwinsville,,,NY,9/15/1973 19:30 +North Royalton,,DISK,OH,9/15/1973 19:30 +Loomis,RED,LIGHT,CA,9/15/1973 23:00 +Jefferson,,OVAL,IA,9/16/1973 23:30 +Mansfield,,OVAL,OH,9/20/1973 10:00 +Salina,,LIGHT,KS,9/20/1973 10:30 +Mansfield,,CIGAR,OH,9/20/1973 15:15 +Mansfield,,CIGAR,OH,9/20/1973 15:30 +Houston,,CHEVRON,TX,9/20/1973 17:15 +Philip,,DISK,SD,9/22/1973 15:00 +Cape Girardeau,,DISK,MO,9/22/1973 18:02 +Graybill,,DISK,IN,9/23/1973 0:00 +Strongsville,,OTHER,OH,9/28/1973 0:00 +Wooster,,TRIANGLE,OH,9/30/1973 22:30 +Montezuma,,SPHERE,IN,10/1/1973 1:00 +Virginia Beach,,DISK,VA,10/1/1973 15:00 +Bloomington,,LIGHT,IN,10/1/1973 20:00 +North St. Paul,,TRIANGLE,MN,10/1/1973 20:30 +Waco,,TRIANGLE,TX,10/1/1973 20:45 +Roseburg,,CYLINDER,OR,10/1/1973 21:00 +Beatty,,DISK,NV,10/1/1973 21:30 +Hixson,RED,OVAL,TN,10/1/1973 21:30 +Valley City,,DISK,OH,10/1/1973 22:45 +El Centro,,LIGHT,CA,10/6/1973 9:00 +Tupelo,,DISK,MS,10/8/1973 18:30 +Atwater,,OTHER,CA,10/8/1973 22:30 +Niantic,GREEN,DISK,CT,10/10/1973 19:00 +Jupiter,,EGG,FL,10/11/1973 16:45 +Birmingham,GREEN,DISK,AL,10/12/1973 19:00 +Weldon,RED,OVAL,NC,10/13/1973 18:00 +Spokane,,CIRCLE,WA,10/15/1973 12:40 +Collierville,,DISK,TN,10/15/1973 16:00 +Chazy,,LIGHT,NY,10/15/1973 17:30 +Englewood,,DISK,TN,10/15/1973 18:00 +Houston,,CIRCLE,TX,10/15/1973 19:30 +Millington,,DISK,TN,10/15/1973 20:00 +Warner Robins,,CIGAR,GA,10/17/1973 21:30 +Montgomery,,LIGHT,AL,10/17/1973 23:30 +Baltimore,,DISK,MD,10/18/1973 0:00 +Charlotte,,OVAL,NC,10/18/1973 20:00 +New York City,,,NY,10/20/1973 0:00 +Carthage,,FIREBALL,IN,10/20/1973 23:30 +Federalsburg,,DISK,MD,10/21/1973 14:30 +Baltimore,,DISK,MD,10/21/1973 17:30 +Baltimore,,DISK,MD,10/21/1973 18:30 +Jacksonville Beach,,VARIOUS,FL,10/24/1973 0:00 +Centerville,,OTHER,OH,10/24/1973 18:45 +Centerville,,CIRCLE,OH,10/24/1973 19:30 +,,FIREBALL,OH,10/25/1973 23:30 +Green River,,DISK,UT,10/30/1973 4:00 +Green River,RED,DISK,UT,10/30/1973 4:00 +Wilson,,CIGAR,OK,10/31/1973 19:30 +Huntington,ORANGE,,NY,11/1/1973 19:00 +Orange County,ORANGE,OVAL,CA,11/9/1973 1:00 +Boone,,DISK,NC,11/10/1973 20:00 +West Chester,,DISK,PA,11/11/1973 19:00 +New York City,,DISK,NY,11/15/1973 0:00 +Key West,RED,DISK,FL,11/15/1973 17:30 +Colbert Heights,YELLOW GREEN,DISK,AL,11/15/1973 18:00 +Talahassee,,LIGHT,FL,11/15/1973 23:00 +Kapaa,,CIGAR,HI,11/23/1973 19:00 +Florida,,OVAL,FL,11/24/1973 20:00 +Vienna,,CIGAR,VA,11/25/1973 22:00 +Avoca,RED,,IA,12/3/1973 19:00 +Glen Rose,,LIGHT,AR,12/5/1973 19:00 +Kirkland,,TRIANGLE,WA,12/12/1973 21:00 +Olympia,RED,DIAMOND,WA,12/15/1973 1:00 +Colorado,ORANGE,DISK,CO,12/23/1973 16:00 +Kent,,CIGAR,WA,1/1/1974 1:00 +Carbondale,,CIRCLE,PA,1/9/1974 21:00 +Terre Haute,,DISK,IN,1/15/1974 5:00 +Madison,RED YELLOW GREEN,OVAL,ME,1/18/1974 19:00 +Pawtucket,,DISK,RI,1/24/1974 0:00 +Pawtucket,,DISK,RI,1/24/1974 22:00 +San Diego,,,CA,1/30/1974 23:00 +Woodlawn,BLUE,FIREBALL,VA,2/14/1974 21:00 +Orange,,FLASH,CA,2/15/1974 20:00 +Simpson,BLUE,,PA,2/15/1974 22:10 +Indianapolis,ORANGE,DISK,IN,2/19/1974 3:00 +Metarie,,DISK,LA,3/15/1974 6:00 +Tula,,CIRCLE,MS,3/15/1974 18:00 +Moosic,,CIRCLE,PA,3/15/1974 19:30 +Cotton County,ORANGE,RECTANGLE,OK,3/15/1974 22:00 +Santa Rosa,,DISK,CA,3/15/1974 22:30 +Wewahitchka,,DISK,FL,3/21/1974 23:00 +Aurora,,VARIOUS,CO,4/1/1974 7:30 +Mill Valley,,CIRCLE,CA,4/1/1974 13:00 +Birmingham,,DISK,AL,4/2/1974 23:30 +Petaluma,,SPHERE,CA,4/4/1974 7:30 +Hallsville,,SPHERE,OH,4/10/1974 7:10 +Chicago,,OVAL,IL,4/15/1974 18:00 +Santa Ana,RED,SPHERE,CA,4/15/1974 22:00 +Ventura,,CIRCLE,CA,4/15/1974 22:00 +Wooster,,SPHERE,OH,4/15/1974 22:00 +Dexter,,DISK,MO,4/15/1974 23:00 +Galesburg,,DISK,MI,4/20/1974 2:15 +Rosalia,GREEN,CHEVRON,WA,4/23/1974 20:00 +Houston,,LIGHT,TX,4/23/1974 21:00 +Brooksville,,DISK,ME,4/25/1974 20:30 +Port Everglades,,,FL,4/29/1974 3:15 +Ft. Bragg,,CIRCLE,NC,5/1/1974 1:00 +Franklin,,OVAL,KY,5/1/1974 17:00 +Athens,RED,CIRCLE,GA,5/10/1974 19:00 +Taylorsville,RED ORANGE,DISK,NC,5/14/1974 21:00 +Jackson,,,MS,5/15/1974 0:00 +Esopus,,OTHER,NY,5/15/1974 1:30 +Bristow,,CIGAR,OK,5/15/1974 13:00 +Howard Beach,,DISK,NY,5/15/1974 15:15 +Atlanta,RED YELLOW BLUE,DISK,GA,5/15/1974 20:00 +Smyrna,,DISK,GA,5/15/1974 20:30 +Aurora,,DISK,OR,5/15/1974 21:00 +Passaic,,CIGAR,NJ,5/15/1974 21:00 +Jonesboro,,DISK,GA,5/20/1974 20:30 +Mescalero Indian Reservation,,RECTANGLE,NM,5/22/1974 5:30 +Spring Lake,,OVAL,MI,5/27/1974 12:00 +Lyndhurst,,CIRCLE,NJ,5/27/1974 17:00 +Bardstown,,DISK,KY,6/1/1974 0:00 +East Liverpool,,FIREBALL,OH,6/1/1974 0:00 +Garrison,,DISK,NY,6/1/1974 0:00 +Marquette,,OVAL,MI,6/1/1974 0:00 +Napa,,CIGAR,CA,6/1/1974 0:00 +Peebles,GREEN,CIRCLE,OH,6/1/1974 0:00 +Wilmington,,TRIANGLE,NC,6/1/1974 2:00 +Lakeside to North Bend,,LIGHT,OR,6/1/1974 6:00 +Ore City,,CIRCLE,TX,6/1/1974 10:00 +Colorado Springs,,CIRCLE,CO,6/1/1974 12:00 +Terrytown,RED ORANGE,OTHER,LA,6/1/1974 13:00 +Tucson,,CYLINDER,AZ,6/1/1974 13:00 +Niles,,FIREBALL,CA,6/1/1974 15:00 +Boulder Creek,,OTHER,CA,6/1/1974 19:00 +Davidson County,,DISK,NC,6/1/1974 21:00 +N. Miami,,FIREBALL,FL,6/1/1974 21:00 +Douglasville,,OTHER,GA,6/1/1974 22:00 +Ovid,,,CO,6/1/1974 22:00 +Placerville,,CHEVRON,CA,6/1/1974 22:00 +Madison,,SPHERE,CT,6/1/1974 22:30 +Manistee,,,MI,6/1/1974 23:00 +Milo,,LIGHT,MO,6/1/1974 23:00 +Green Cove Springs,,CIRCLE,FL,6/6/1974 14:00 +Bells,,TRIANGLE,TX,6/6/1974 23:00 +Commerce,RED GREEN BLUE,LIGHT,TX,6/7/1974 21:00 +Tulsa,,,OK,6/8/1974 5:00 +Merkel,,DISK,TX,6/10/1974 14:30 +Kentucky,,OTHER,KY,6/10/1974 19:00 +Rexburg,,OVAL,ID,6/12/1974 3:00 +La Mesa,RED,TRIANGLE,CA,6/14/1974 5:30 +Westline,,LIGHT,PA,6/15/1974 0:00 +Erie,,CIRCLE,PA,6/15/1974 2:45 +Roseville,,TRIANGLE,MI,6/15/1974 8:00 +Shady Point,,DISK,OK,6/15/1974 12:00 +Janesville,,OTHER,WI,6/15/1974 12:20 +Albany,,TRIANGLE,NY,6/15/1974 13:00 +Austin,,OTHER,MN,6/15/1974 13:00 +Live Oak,,TRIANGLE,CA,6/15/1974 15:00 +Bellingham,,OTHER,MA,6/15/1974 15:30 +San Diego,,SPHERE,CA,6/15/1974 20:00 +Kingston,RED GREEN BLUE,,MA,6/15/1974 21:00 +Pensacola,,SPHERE,FL,6/15/1974 21:00 +Truckee,,CIGAR,CA,6/15/1974 22:00 +Calera,,DISK,AL,6/15/1974 22:30 +Paulsboro,,OVAL,NJ,6/17/1974 13:00 +Gibralter,ORANGE,LIGHT,MI,6/20/1974 1:00 +Ashland,,DISK,OH,6/20/1974 5:30 +Minneapolis,,LIGHT,MN,6/20/1974 16:00 +Fort Scott,,DIAMOND,KS,6/20/1974 20:00 +South Haven,,DISK,MI,6/25/1974 9:00 +Caribou Maine,,DISK,ME,6/30/1974 0:00 +Columbus,,DISK,GA,6/30/1974 0:00 +Springfield,,CIRCLE,MO,6/30/1974 9:30 +Los Angeles,,SPHERE,CA,6/30/1974 12:00 +Hutchinson,,CIGAR,KS,6/30/1974 14:00 +New York,,DISK,NY,6/30/1974 18:30 +Camden,,RECTANGLE,NJ,6/30/1974 19:00 +Herkimer,,CIGAR,NY,6/30/1974 21:00 +Kingston,,DISK,MA,6/30/1974 21:00 +New York City,,CIRCLE,NY,6/30/1974 21:00 +Minot,,OTHER,ND,6/30/1974 22:00 +Bedford,,LIGHT,VA,6/30/1974 23:00 +Maple Valley,,LIGHT,WA,7/1/1974 6:00 +Benton,,FIREBALL,KY,7/1/1974 20:00 +Mishawaka,,CIRCLE,IN,7/1/1974 20:00 +Lynden,,LIGHT,WA,7/1/1974 21:30 +Plantation,,OVAL,FL,7/2/1974 22:00 +North Carolina,,CIRCLE,NC,7/4/1974 0:00 +Jackson,,TRIANGLE,MS,7/5/1974 23:00 +Council Bluffs,RED,DISK,IA,7/7/1974 3:00 +Boston,,CIRCLE,MA,7/7/1974 21:00 +Marion,,SPHERE,OH,7/10/1974 0:00 +Mosinee,,OVAL,WI,7/12/1974 10:10 +Conrath,,DISK,WI,7/13/1974 0:00 +Valley Falls,YELLOW,EGG,KS,7/15/1974 2:30 +Live Oak,,TRIANGLE,CA,7/15/1974 3:30 +Jermyn,RED,FIREBALL,PA,7/15/1974 5:30 +Vining,,OTHER,MN,7/15/1974 13:00 +Carthage,,,MS,7/15/1974 14:00 +Evanston,ORANGE,DISK,IL,7/15/1974 17:00 +Overland Park,,LIGHT,KS,7/15/1974 19:00 +Hampton,,LIGHT,VA,7/15/1974 20:00 +Jacksonville,,TRIANGLE,FL,7/15/1974 21:00 +Ottawa,,,IL,7/15/1974 21:00 +Bridgeview,,TRIANGLE,IL,7/15/1974 22:00 +Valencia,,DISK,CA,7/15/1974 22:00 +New Albany,RED GREEN,TRIANGLE,IN,7/15/1974 22:30 +Fort Lauderdale,,FIREBALL,FL,7/16/1974 1:00 +Scottsville,,CROSS,KY,7/16/1974 23:00 +Bremerton,,DELTA,WA,7/18/1974 20:00 +Marfa,,OVAL,TX,7/20/1974 2:00 +Morgan City,,TRIANGLE,LA,7/20/1974 3:00 +Salem,,CIGAR,MA,7/20/1974 18:30 +Woodbridge,,DISK,NJ,7/20/1974 22:00 +Newark,,DISK,DE,7/21/1974 21:00 +Apple Valley,,DISK,MN,7/21/1974 22:30 +Gulf of Mexico,,DISK,FL,7/22/1974 14:00 +Salida,,DISK,CO,7/22/1974 22:30 +Hagerstown,,DISK,MD,7/24/1974 19:00 +East Berkshire,ORANGE,LIGHT,VT,7/24/1974 21:00 +Hagerstown,,DISK,MD,7/24/1974 22:00 +Bridgeport,RED,CIRCLE,CT,7/25/1974 21:00 +Claremont,,OVAL,NC,7/26/1974 20:30 +Cohasset,,LIGHT,MA,7/27/1974 2:30 +Wilton,,CYLINDER,CT,8/1/1974 3:00 +Grafton,,CIRCLE,MA,8/1/1974 19:00 +Chester,,TRIANGLE,CA,8/1/1974 21:00 +Clarkston,,OVAL,GA,8/1/1974 21:00 +Pemberton,,CIRCLE,NJ,8/1/1974 21:30 +Springfield,,CIGAR,OH,8/1/1974 22:00 +Lexington,,DISK,KY,8/1/1974 22:45 +Campbell,,TRIANGLE,CA,8/1/1974 23:00 +Warren,,CIRCLE,OH,8/2/1974 16:00 +Morganfield,,CIRCLE,KY,8/7/1974 20:00 +East Haven,,LIGHT,CT,8/8/1974 3:00 +Mentor,,DISK,OH,8/8/1974 10:00 +Lake Zurich,,SPHERE,IL,8/8/1974 22:00 +Spokane,,CIGAR,WA,8/9/1974 12:00 +Spokane,,OTHER,WA,8/9/1974 12:00 +New Rochelle,,OVAL,NY,8/10/1974 1:00 +New Rochelle,,OVAL,NY,8/10/1974 13:00 +Greenville,,RECTANGLE,SC,8/10/1974 18:00 +Boardman,,DISK,OH,8/12/1974 20:30 +Kent,,DISK,OH,8/15/1974 7:00 +Pullman,,CIRCLE,MI,8/15/1974 17:00 +Gold Beach,,CIRCLE,OR,8/15/1974 20:00 +Niagara Falls,,TRIANGLE,NY,8/15/1974 20:00 +Redondo,,DISK,WA,8/15/1974 20:00 +Miami,,CIGAR,FL,8/15/1974 20:30 +Canon AFB,,LIGHT,NM,8/15/1974 22:00 +Girard,,,OH,8/15/1974 22:00 +Chubbuck,,OTHER,ID,8/15/1974 22:30 +Somersworth,,DISK,NH,8/16/1974 19:30 +King City,GREEN,OVAL,CA,8/20/1974 22:00 +Delta,,DISK,UT,8/20/1974 23:45 +Holloman AFB,,OTHER,NM,8/21/1974 11:00 +North Windham,,DISK,ME,8/23/1974 2:30 +Bridgeport,,TRIANGLE,CT,8/23/1974 19:30 +Colliers,,DISK,WV,8/25/1974 21:00 +Rochester Hills,,DISK,MI,8/29/1974 22:00 +Owensboro,,,KY,9/1/1974 16:00 +Cumberland,,LIGHT,MD,9/1/1974 17:30 +Auburn,,RECTANGLE,AL,9/1/1974 20:00 +Bremen,,DISK,IN,9/1/1974 21:00 +Sitka,,DISK,AK,9/1/1974 23:00 +Murfreesboro,,DISK,TN,9/3/1974 22:00 +Denver,,OTHER,CO,9/11/1974 20:00 +Columbia,,DISK,SC,9/13/1974 21:00 +Piedmont,,DISK,OK,9/14/1974 3:00 +Kelso,,TRIANGLE,WA,9/15/1974 2:00 +Chico,,CHEVRON,CA,9/15/1974 3:00 +"Heber Springs, Greers Ferry Lake",,DISK,AR,9/15/1974 17:20 +Detroit,,DISK,MI,9/15/1974 18:30 +Hattiesburg,,TRIANGLE,MS,9/15/1974 20:00 +Westerlo,,LIGHT,NY,9/15/1974 20:00 +no data,,DISK,KY,9/15/1974 21:00 +Woodburn,,RECTANGLE,IN,9/15/1974 21:30 +Independence,,OTHER,MO,9/15/1974 22:30 +Jamul,,FIREBALL,CA,9/22/1974 17:00 +Spanaway,,OTHER,WA,9/23/1974 21:30 +Baskin,,OVAL,LA,9/30/1974 1:00 +Denton,,,TX,10/1/1974 1:00 +Weirton,,SPHERE,WV,10/1/1974 18:00 +Deerwood,,,MN,10/1/1974 20:00 +Chester,,LIGHT,NJ,10/1/1974 21:00 +Chicago,,OVAL,IL,10/6/1974 22:00 +Yakima,,CONE,WA,10/7/1974 19:50 +Willow Beach,,LIGHT,AZ,10/10/1974 17:00 +Hudson,,OTHER,MA,10/10/1974 19:30 +Hudson,,LIGHT,KS,10/10/1974 23:00 +Fulton,ORANGE,DIAMOND,MO,10/14/1974 16:30 +Oran,,,MO,10/14/1974 20:00 +North of Colorado Springs,,LIGHT,CO,10/15/1974 1:30 +Oak Creek,,CIGAR,CO,10/15/1974 2:30 +Memphis,,CIGAR,TN,10/15/1974 18:00 +Bath,,OVAL,OH,10/15/1974 18:30 +San Francisco,,LIGHT,CA,10/15/1974 22:30 +La Junta,GREEN,OTHER,CO,10/15/1974 23:00 +Hopkinsville,,CIRCLE,KY,10/18/1974 1:00 +San Jose,,FIREBALL,CA,10/20/1974 7:00 +Houston,RED,CIRCLE,TX,10/20/1974 19:30 +Owensboro,,LIGHT,KY,10/20/1974 21:00 +Oneonta,,CIRCLE,AL,10/22/1974 20:00 +Eastland,,SPHERE,UT,10/27/1974 21:00 +Rockford,,LIGHT,IL,10/31/1974 7:00 +Chicago,,,IL,10/31/1974 17:45 +Nashville,,LIGHT,TN,11/1/1974 1:00 +Alpine,,LIGHT,TX,11/1/1974 20:00 +Davenport,,LIGHT,IA,11/1/1974 20:00 +Oil City,,,PA,11/1/1974 21:00 +New Orleans,RED,OTHER,LA,11/2/1974 0:00 +Tullahoma,,DISK,TN,11/4/1974 20:00 +Charlotte,,CIRCLE,NC,11/9/1974 22:00 +York,,TRIANGLE,ME,11/10/1974 21:00 +New Orleans,,DISK,LA,11/13/1974 22:00 +West Orange,,,NJ,11/15/1974 0:00 +Cordova,,DISK,AK,11/15/1974 9:00 +Aiken,RED GREEN,VARIOUS,SC,11/15/1974 21:00 +Higgins Lake,,CIRCLE,MI,11/15/1974 21:00 +Huber Heights,,DISK,OH,11/15/1974 21:00 +Deland,,LIGHT,FL,11/15/1974 22:00 +Van Nuys,,TEARDROP,CA,11/15/1974 23:30 +Juneau,,OTHER,WI,11/16/1974 17:01 +Higgens Lake,,LIGHT,MI,11/17/1974 21:00 +West Milton,ORANGE,CIRCLE,OH,11/25/1974 21:00 +Verbena,RED,SPHERE,AL,11/25/1974 22:00 +Fort Polk,,,LA,12/1/1974 1:00 +Cullowhee,,LIGHT,NC,12/1/1974 20:30 +Cullowhee,,SPHERE,NC,12/1/1974 22:30 +Presque Isle,,OTHER,ME,12/5/1974 20:30 +Pauncetony,,,PA,12/10/1974 10:00 +Palmdale,,DISK,CA,12/12/1974 3:00 +Beaumont,,CIGAR,TX,12/15/1974 2:00 +Goree,,LIGHT,TX,1/1/1975 1:00 +Jamestown,,SPHERE,NY,1/1/1975 3:00 +Phoenix,,DISK,AZ,1/1/1975 12:00 +Silver Hill,,DISK,MD,1/1/1975 13:00 +Waverly Hall,,SPHERE,GA,1/1/1975 19:00 +Denver,,DISK,CO,1/1/1975 20:00 +Houston,,DISK,TX,1/4/1975 22:40 +Uxbridge,,LIGHT,MA,1/13/1975 1:30 +Cairo,,TRIANGLE,NY,1/15/1975 16:00 +Pipestone,,SPHERE,MN,1/15/1975 16:00 +Miami,,LIGHT,FL,1/15/1975 19:00 +Springfield,,,PA,1/15/1975 21:15 +Albany,,LIGHT,NY,1/17/1975 18:00 +Pasco,,SPHERE,WA,2/2/1975 11:30 +Mukwanago,,CHEVRON,WI,2/15/1975 21:00 +Akin,RED,TRIANGLE,IL,2/18/1975 23:00 +Fall City,,,WA,3/1/1975 8:00 +Roseville,,DISK,CA,3/1/1975 21:00 +Cowiche,,DISK,WA,3/6/1975 21:00 +Fort Lauderdale,,DISK,FL,3/7/1975 19:00 +Detroit,,SPHERE,MI,3/8/1975 19:00 +New Cambria,,RECTANGLE,KS,3/15/1975 19:00 +Cowiche,,CIRCLE,WA,3/15/1975 21:00 +Carlsbad,,DISK,CA,3/20/1975 16:00 +St. Marys,RED,CIGAR,PA,4/1/1975 7:00 +New Boston,,LIGHT,TX,4/1/1975 19:30 +Reno,RED YELLOW,CIGAR,NV,4/1/1975 20:00 +Waterford,,CIRCLE,CT,4/1/1975 23:00 +Gilkey,,DISK,NC,4/10/1975 22:00 +Houston,,,TX,4/12/1975 7:00 +Florida,,SPHERE,FL,4/15/1975 0:00 +Huntsville,,LIGHT,AL,4/15/1975 0:00 +Highway location,,LIGHT,FL,4/15/1975 1:30 +Onalaska,,DISK,WI,4/15/1975 2:00 +Tifton,,SPHERE,GA,4/15/1975 2:00 +Waterford,,DISK,PA,4/18/1975 7:40 +Mount Vernon,,OVAL,VA,4/20/1975 17:00 +Kettering,,DISK,OH,4/23/1975 3:45 +Oil City,,DISK,PA,4/25/1975 0:00 +Alexandria,,FIREBALL,VA,5/1/1975 2:40 +Reno,,DISK,NV,5/1/1975 17:00 +Jacksonville,,SPHERE,NC,5/5/1975 2:00 +Lodi,RED,LIGHT,OH,5/7/1975 2:00 +Holmen,,DISK,WI,5/15/1975 0:00 +Little Rock,,CIGAR,AR,5/15/1975 1:00 +Denton,,OTHER,TX,5/15/1975 13:00 +Pomeroy,,DISK,WA,5/15/1975 16:00 +Lithia Springs,,DISK,GA,5/15/1975 20:00 +San Antonio,RED,DISK,TX,5/23/1975 17:00 +Delroy,,TRIANGLE,OH,5/25/1975 17:00 +Rochester,,FLASH,NY,5/25/1975 23:00 +Mountain Top,,TRIANGLE,PA,5/30/1975 20:00 +Clovis,,LIGHT,NM,6/1/1975 0:00 +Douglas,,CIRCLE,AZ,6/1/1975 0:10 +Benton Harbor,,DISK,MI,6/1/1975 2:00 +Iowa City,BLUE,DISK,IA,6/1/1975 3:00 +Cerritos,,,CA,6/1/1975 12:00 +Daleville,,DISK,IN,6/1/1975 12:00 +Lakewood,,CIGAR,CA,6/1/1975 12:00 +Nashville,,TRIANGLE,TN,6/1/1975 12:00 +Cold Spring,,OVAL,NY,6/1/1975 13:00 +Youngstown,,CIRCLE,OH,6/1/1975 13:00 +Milwaukee,,VARIOUS,WI,6/1/1975 15:00 +Milford,,DISK,MA,6/1/1975 18:00 +Scott AFB,,,IL,6/1/1975 18:00 +Cannon AFB,,,NM,6/1/1975 18:46 +Denver,,CIRCLE,CO,6/1/1975 19:00 +Half Moon Bay,,OVAL,CA,6/1/1975 19:00 +Silver Spring,,DISK,PA,6/1/1975 19:00 +Williams,,OVAL,CA,6/1/1975 20:00 +Kenmore,BLUE,DISK,NY,6/1/1975 20:30 +Kenmore,,OVAL,NY,6/1/1975 20:30 +Carthage,,,TX,6/1/1975 21:00 +Central,,FIREBALL,OK,6/1/1975 21:00 +Goffstown,,SPHERE,NH,6/1/1975 21:00 +Newnan,ORANGE,SPHERE,GA,6/1/1975 21:00 +Grand Island,,OVAL,NY,6/1/1975 21:30 +Robstown,,OVAL,TX,6/1/1975 21:30 +Clovis,,,NM,6/1/1975 22:00 +Kennett Square,,OTHER,PA,6/1/1975 22:00 +Richmond,,DISK,VA,6/1/1975 22:00 +Sciotoville,,OTHER,OH,6/1/1975 22:00 +Sedro-Woolley,,CIRCLE,WA,6/1/1975 22:00 +Longview,,DISK,TX,6/1/1975 23:00 +Minneapolis,,TRIANGLE,MN,6/1/1975 23:00 +Nashville,YELLOW,LIGHT,TN,6/1/1975 23:59 +Charlotte,,DISK,NC,6/6/1975 17:00 +Lexington,,CIRCLE,KY,6/6/1975 22:00 +Winchester,,FIREBALL,IN,6/8/1975 21:00 +Albany,,CIGAR,NY,6/10/1975 2:00 +Roberts Creek Mtn.,,,NV,6/10/1975 2:30 +Rockdale,,OTHER,TX,6/10/1975 20:00 +Albany,,LIGHT,NY,6/10/1975 22:00 +Bon Air,,CIGAR,VA,6/15/1975 0:00 +Cocoa Beach,,TRIANGLE,FL,6/15/1975 2:00 +Hallandale,,DISK,FL,6/15/1975 3:00 +Praire Creek,,,IN,6/15/1975 5:00 +Rifle,,DISK,CO,6/15/1975 10:00 +Noxen,,CIGAR,PA,6/15/1975 12:30 +Fulton,,DISK,NY,6/15/1975 13:00 +Baton Rouge,,DISK,LA,6/15/1975 16:00 +Reisterstown,GREEN,FORMATION,MD,6/15/1975 18:00 +Nulato,,LIGHT,AK,6/15/1975 18:30 +Riverside,,DISK,CT,6/15/1975 18:30 +Minneapolis,,TRIANGLE,MN,6/15/1975 20:00 +Detroit,,TRIANGLE,MI,6/15/1975 21:00 +Levittown,,LIGHT,PA,6/15/1975 21:00 +Burna,,LIGHT,KY,6/15/1975 22:00 +Florence,,RECTANGLE,SC,6/15/1975 22:00 +Angeles Crest,,OTHER,CA,6/15/1975 23:00 +Scotts,,OVAL,MI,6/15/1975 23:00 +Warren,,CIRCLE,OH,6/20/1975 0:00 +Brainerd,,CIRCLE,MN,6/20/1975 2:00 +East Grand Forks,,LIGHT,MN,6/20/1975 2:00 +Spokane,,DISK,WA,6/20/1975 11:30 +Brainerd,,CIGAR,MN,6/20/1975 12:00 +Bedford,,LIGHT,MA,6/20/1975 23:30 +Lincoln,,OVAL,IL,6/22/1975 9:00 +Arlington,,TRIANGLE,TX,6/23/1975 21:00 +Arlington,,TRIANGLE,TX,6/23/1975 21:00 +Arlington,,TRIANGLE,TX,6/23/1975 21:00 +Greenwich,,SPHERE,CT,6/30/1975 0:00 +Pensacola,,OTHER,FL,6/30/1975 0:00 +Rocky Point,,LIGHT,NY,6/30/1975 0:00 +San Jose,,,CA,6/30/1975 0:00 +Yorba Linda,,FORMATION,CA,6/30/1975 0:00 +Fairmont,,CIGAR,MN,6/30/1975 1:00 +Kimberly,,TRIANGLE,WI,6/30/1975 3:00 +Springfield,,CIRCLE,MO,6/30/1975 9:30 +Louisville,,CIRCLE,KY,6/30/1975 11:00 +Bourbonnais,BLUE,OVAL,IL,6/30/1975 13:00 +Keys,,OTHER,FL,6/30/1975 13:00 +Denison,,,IA,6/30/1975 17:00 +Anderson,,CIRCLE,SC,6/30/1975 20:00 +Miami,,SPHERE,FL,6/30/1975 20:00 +Miami Beach,,LIGHT,FL,6/30/1975 20:00 +Windsor,RED,DISK,NC,6/30/1975 21:00 +Lancaster,,,PA,6/30/1975 21:30 +Angeles Crest Forest,,LIGHT,CA,6/30/1975 23:00 +El Monte,,OTHER,CA,6/30/1975 23:00 +Salt Lake City,,LIGHT,UT,7/1/1975 3:00 +Coarsegold,GREEN,CIRCLE,CA,7/1/1975 9:00 +Sandy Springs,,LIGHT,SC,7/1/1975 13:20 +Marsh Creek,,CIGAR,CA,7/1/1975 16:00 +Kansas City,,OVAL,MO,7/1/1975 20:00 +Fair Haven,,SPHERE,NY,7/4/1975 10:00 +Marley Park,,CIRCLE,MD,7/4/1975 13:00 +Golden,BLUE,SPHERE,CO,7/4/1975 14:00 +Franconia Notch,,CONE,NH,7/5/1975 23:00 +Fort Washakie,,LIGHT,WY,7/7/1975 19:00 +Bellevue,,CIGAR,WA,7/8/1975 22:00 +Midway,,OTHER,KY,7/8/1975 22:30 +Manchester,,,CT,7/10/1975 1:00 +Marlborough,,DISK,CT,7/10/1975 19:00 +Mt. Hope,,TRIANGLE,WI,7/11/1975 20:00 +Cassville,,,WI,7/11/1975 22:00 +Shoreline,,EGG,WA,7/13/1975 19:30 +Girard,,,MI,7/14/1975 21:00 +Pound,,DISK,VA,7/15/1975 1:30 +Angleton,,SPHERE,TX,7/15/1975 5:00 +Mason,,TEARDROP,MI,7/15/1975 9:30 +Flathead Lake,,DISK,MT,7/15/1975 13:00 +Paul,,CIGAR,ID,7/15/1975 14:00 +Green Bay,,TRIANGLE,WI,7/15/1975 16:00 +Birmingham,,DISK,AL,7/15/1975 17:00 +Morehead,,CIRCLE,KY,7/15/1975 17:00 +Ramsey,,DISK,MN,7/15/1975 18:30 +Triadelphia,,DISK,WV,7/15/1975 18:30 +Decatur,,DISK,IL,7/15/1975 19:00 +Brea,,,CA,7/15/1975 20:00 +Wittman,,TRIANGLE,MD,7/15/1975 20:00 +Estes Park,,LIGHT,CO,7/15/1975 20:30 +Raleigh,,DISK,NC,7/15/1975 21:00 +Reseda,GREEN,FORMATION,CA,7/15/1975 21:00 +Smithland,,TRIANGLE,KY,7/15/1975 21:00 +Dover,,OTHER,NJ,7/15/1975 22:00 +Turbeville,GREEN,LIGHT,SC,7/15/1975 22:00 +Grinnell,,RECTANGLE,IA,7/15/1975 23:00 +Dumas,ORANGE,OVAL,TX,7/18/1975 19:00 +Spokane,,SPHERE,WA,7/19/1975 23:30 +Albion,BLUE,LIGHT,NY,7/20/1975 1:30 +Blackstone,,DISK,MA,7/20/1975 12:00 +Tupelo,,CIGAR,MS,7/20/1975 20:30 +Murphysboro,,,IL,7/21/1975 0:30 +Indiana,,CONE,PA,7/22/1975 2:00 +Cranston,,LIGHT,RI,7/22/1975 21:00 +Raleigh,,,NC,7/22/1975 21:00 +Port Washington,RED,DISK,WI,8/1/1975 3:15 +Sunland,,EGG,CA,8/1/1975 4:00 +Lopez Island,,CIRCLE,WA,8/1/1975 12:00 +Savannah`,,CIGAR,GA,8/1/1975 14:30 +Ravenna,,CYLINDER,OH,8/1/1975 18:00 +Pittsburgh,ORANGE YELLOW,FIREBALL,PA,8/1/1975 20:30 +James Island,,DISK,SC,8/2/1975 17:00 +Bristolville,,DISK,OH,8/4/1975 14:00 +Richmond,,OVAL,VA,8/5/1975 16:35 +Richmond,,EGG,VA,8/5/1975 18:31 +Walla Walla,GREEN,LIGHT,WA,8/7/1975 21:30 +Damarascotta Lake,,DISK,ME,8/8/1975 21:30 +Dekalb,,LIGHT,IL,8/8/1975 22:00 +River Ridge,ORANGE,CIRCLE,LA,8/10/1975 18:00 +Anthony,,TEARDROP,KS,8/12/1975 20:00 +Brigham City,,DISK,UT,8/15/1975 0:00 +Luning,,DISK,NV,8/15/1975 1:00 +Ricketts Glen SP,,OTHER,PA,8/15/1975 2:00 +Kingman,,CYLINDER,AZ,8/15/1975 3:00 +Orange Lake,,DISK,FL,8/15/1975 6:00 +Beverly,,DISK,MA,8/15/1975 18:00 +Grenada,,DISK,MS,8/15/1975 18:00 +McKenzie,,CONE,TN,8/15/1975 19:30 +Albion,,CIGAR,NY,8/15/1975 20:00 +Lapeer,RED,OTHER,MI,8/15/1975 20:15 +Fildale,,TRIANGLE,VA,8/15/1975 22:00 +Solomon,,FIREBALL,KS,8/15/1975 23:00 +Terre Haute,,CIRCLE,IN,8/15/1975 23:00 +Highlands,,FIREBALL,TX,8/16/1975 20:00 +Indianapolis,,TRIANGLE,IN,8/16/1975 21:00 +Dalton,,CIRCLE,MA,8/17/1975 23:00 +Santa Barbara,,DISK,CA,8/19/1975 1:00 +Portland,,DISK,OR,8/19/1975 21:00 +Fort Wayne,,OTHER,IN,8/20/1975 1:00 +Jackson,RED GREEN,TRIANGLE,NJ,8/20/1975 2:00 +Orange Lake,,DISK,FL,8/20/1975 7:00 +Brewster,,CYLINDER,NY,8/20/1975 16:30 +Joppa,RED ORANGE,CIRCLE,MD,8/20/1975 22:00 +White Bird,,LIGHT,ID,8/30/1975 22:00 +White Bird,,LIGHT,ID,8/30/1975 22:00 +Fullerton,,OTHER,CA,9/1/1975 20:00 +Independence,,DISK,MO,9/1/1975 20:00 +Valencia,,OVAL,CA,9/1/1975 22:00 +Palmyra,,CIRCLE,NJ,9/4/1975 0:00 +Union Grove,,CIGAR,AL,9/4/1975 2:00 +Sonoma Mountain,,LIGHT,CA,9/5/1975 20:00 +Vineland,,DISK,NJ,9/9/1975 15:00 +Meriden,YELLOW,DISK,CT,9/10/1975 19:45 +Grand Coulee,,CIGAR,WA,9/11/1975 21:00 +Anderson,,TRIANGLE,IN,9/12/1975 18:00 +Prescott,,,AZ,9/15/1975 0:00 +Prescott,,CIGAR,AZ,9/15/1975 0:00 +Prescott,,FIREBALL,AZ,9/15/1975 0:00 +Haines City,ORANGE,DISK,FL,9/15/1975 18:00 +North Branch,,CHEVRON,NJ,9/15/1975 18:30 +Pennsville,,DISK,NJ,9/15/1975 21:30 +Roscommon,,OVAL,MI,9/20/1975 18:30 +Wimberley,,LIGHT,TX,9/20/1975 19:00 +Weston,,CIRCLE,CT,9/23/1975 2:00 +Little Valley,,LIGHT,OR,9/25/1975 22:30 +St. Agatha,,LIGHT,ME,9/29/1975 21:00 +"Kincheloe Air Force Base, Michigan",,TRIANGLE,MI,10/1/1975 21:00 +Maricopa,ORANGE,VARIOUS,AZ,10/1/1975 22:00 +North Charleston,,LIGHT,SC,10/10/1975 17:00 +Warwick,,DISK,RI,10/13/1975 16:30 +Greenwich,,LIGHT,CT,10/15/1975 0:00 +Rockville,,DISK,MD,10/15/1975 2:30 +Rockville,,DISK,MD,10/15/1975 3:00 +Polland Junction,,CIRCLE,AZ,10/15/1975 3:30 +Killeen,,VARIOUS,TX,10/15/1975 6:30 +Batesville,,SPHERE,MS,10/15/1975 16:00 +Marianna,,DISK,FL,10/15/1975 16:00 +Marion,GREEN,LIGHT,KS,10/15/1975 16:00 +Scituate,ORANGE,CIRCLE,RI,10/15/1975 17:00 +Nesconset,,DISK,NY,10/15/1975 18:00 +Williston,,DISK,ND,10/15/1975 18:00 +Monroe,,DISK,NY,10/15/1975 19:00 +Swannanoa,,OTHER,NC,10/15/1975 19:00 +Montpelier,,OTHER,VT,10/15/1975 19:30 +Ryegate,,CIRCLE,MT,10/15/1975 22:00 +Collinsville,,TRIANGLE,AL,10/15/1975 23:00 +Greenwich,,CIRCLE,CT,10/17/1975 19:00 +McDermott,,SPHERE,NV,10/20/1975 1:30 +Watkins Glen,,,NY,10/20/1975 3:15 +Enterprise,,OTHER,AL,10/20/1975 22:00 +Indian Rocks Beach,,LIGHT,FL,10/21/1975 23:20 +Baytown,,LIGHT,TX,10/24/1975 22:00 +Muscatine,ORANGE,CIRCLE,IA,10/25/1975 22:25 +Limestone,,LIGHT,ME,10/27/1975 0:00 +Cleves,,CIGAR,OH,10/28/1975 18:00 +Allen,,DISK,KY,10/30/1975 20:00 +Kent,,CIRCLE,CT,10/30/1975 21:00 +Camp Pendelton,,FLASH,CA,11/1/1975 2:00 +Natchez,,OVAL,MS,11/1/1975 17:00 +Ware Shoals,,CIRCLE,SC,11/1/1975 23:00 +Winslow,BLUE,FIREBALL,AZ,11/5/1975 0:00 +Beloit,,DISK,WI,11/9/1975 21:15 +Falls Church,,CIRCLE,VA,11/13/1975 21:00 +Woodbridge,,CIRCLE,VA,11/13/1975 21:15 +Albany,,CIRCLE,NY,11/15/1975 20:00 +Catskill,,FORMATION,NY,11/15/1975 20:00 +Anderson,,DISK,IN,11/15/1975 21:00 +Girard,,OVAL,OH,11/15/1975 21:30 +Miami,,DISK,FL,11/15/1975 23:00 +Townsend,,CIRCLE,MA,11/15/1975 23:00 +Miami,,TEARDROP,FL,11/16/1975 3:00 +Miami,,OVAL,FL,11/20/1975 1:00 +Hudson,,,NY,11/20/1975 17:00 +Yonkers,,LIGHT,NY,11/20/1975 20:00 +,RED,TRIANGLE,WV,11/25/1975 23:00 +Reno,,DISK,NV,11/27/1975 16:30 +Edgewater,,FIREBALL,FL,12/1/1975 2:00 +Hollywood,,DISK,CA,12/1/1975 4:00 +Louisville,ORANGE,FIREBALL,KY,12/1/1975 22:30 +Jacksonville,,TRIANGLE,FL,12/7/1975 11:45 +Clermont,,DISK,IN,12/18/1975 0:30 +Sunnyvale,BLUE,LIGHT,CA,12/20/1975 21:00 +no data,,DISK,IN,12/20/1975 22:30 +North Attleboro,,SPHERE,MA,12/21/1975 19:00 +Bowie,,OVAL,AZ,12/23/1975 2:00 +Winters Freeway,,RECTANGLE,CA,12/24/1975 21:00 +Tampa,,TRIANGLE,FL,12/25/1975 23:00 +New Britghton,RED GREEN BLUE,SPHERE,MN,12/26/1975 20:00 +Webb,,DISK,MS,12/31/1975 19:30 +Lisle,,LIGHT,IL,12/31/1975 22:30 +Fort Gardens,,FLASH,GA,1/1/1976 21:00 +Dayton,,OTHER,OH,1/2/1976 12:00 +Cannon AFB,,DISK,NM,1/6/1976 1:00 +Nashville,,TRIANGLE,TN,1/8/1976 20:00 +"Fairbanks, Trans Alaskan Pipeline haul road 250 mi N of",,,AK,1/11/1976 23:00 +Thousand Oaks,,VARIOUS,CA,1/15/1976 20:00 +Millis,,,MA,1/20/1976 2:00 +Ft. Yukon,,OVAL,AK,2/3/1976 13:00 +Whiteland,,,IN,2/3/1976 22:00 +Fern Park,,,FL,2/11/1976 22:30 +Ft. Yukon,BLUE,OVAL,AK,2/13/1976 13:30 +Flint,,RECTANGLE,MI,2/14/1976 11:55 +Memphis,,DISK,TN,2/14/1976 18:00 +Spooner,,SPHERE,WI,2/15/1976 1:00 +Sacramento,YELLOW,OTHER,CA,2/15/1976 20:30 +Baker,,OVAL,MT,2/20/1976 22:00 +Pahokee,,OVAL,FL,3/15/1976 0:00 +Fountain,,DISK,CO,3/15/1976 12:00 +Bennington,,DISK,VT,3/20/1976 23:30 +Houston,,DISK,TX,3/24/1976 21:00 +Riverside,,TEARDROP,CA,4/15/1976 1:30 +Americus,,RECTANGLE,GA,4/15/1976 13:30 +Winchester,,DISK,KY,4/15/1976 20:30 +Marianna,,OVAL,FL,4/18/1976 17:00 +Dayton,,VARIOUS,OH,4/20/1976 13:30 +Brownsville,,CIRCLE,TN,4/25/1976 21:00 +Fricot City,,DISK,CA,4/30/1976 20:00 +St. Thomas,,DIAMOND,PA,5/1/1976 12:00 +Eastland,,,TX,5/1/1976 16:00 +Coventry,,FORMATION,RI,5/1/1976 20:00 +Lakewood,,TRIANGLE,CO,5/1/1976 22:00 +Miami,,SPHERE,FL,5/1/1976 23:00 +Covelo,,DISK,CA,5/10/1976 11:00 +New Danville,,DISK,PA,5/10/1976 20:15 +Grapevine,,EGG,CA,5/12/1976 23:50 +Hydes,,VARIOUS,MD,5/15/1976 19:00 +Newtown,,FIREBALL,CT,5/16/1976 20:00 +Ridgefield,,,CT,5/17/1976 2:00 +Enfield,,TRIANGLE,CT,5/20/1976 22:00 +South Lake Tahoe,,LIGHT,CA,5/29/1976 23:00 +Mountaintop,,CIGAR,PA,5/30/1976 18:00 +Mountaintop,,TRIANGLE,PA,5/30/1976 19:00 +Bell,,OTHER,CA,6/1/1976 0:00 +Haines City,,SPHERE,FL,6/1/1976 0:00 +Pine City,,CIGAR,MS,6/1/1976 0:00 +Washington,,LIGHT,IL,6/1/1976 0:00 +Midvale,,CHEVRON,UT,6/1/1976 1:00 +Scottsville,,OVAL,KY,6/1/1976 1:00 +Howell,,,MI,6/1/1976 2:00 +Pass Christian,,LIGHT,MS,6/1/1976 2:00 +Federal Way,,CIRCLE,WA,6/1/1976 4:00 +Syracuse,,OVAL,NY,6/1/1976 8:30 +Richmond,,DISK,VA,6/1/1976 9:00 +Meridien,,OTHER,CT,6/1/1976 12:00 +Orlando,,CYLINDER,FL,6/1/1976 12:00 +Gulf of Mexico,,OVAL,FL,6/1/1976 14:00 +Meriden,,,CT,6/1/1976 16:00 +Raceland,,CIRCLE,LA,6/1/1976 16:30 +Pacific Palisades,,TRIANGLE,CA,6/1/1976 17:00 +Barberton,,OVAL,OH,6/1/1976 18:00 +Fayetteville,,TRIANGLE,IL,6/1/1976 18:00 +Upper Saddle River,,DISK,NJ,6/1/1976 18:00 +Chunky,,DISK,MS,6/1/1976 19:00 +Glennville,,TRIANGLE,GA,6/1/1976 19:00 +Santa Paula,,RECTANGLE,CA,6/1/1976 19:00 +Columbus,,LIGHT,OH,6/1/1976 20:00 +Covington,,DISK,KY,6/1/1976 20:00 +Niagara Falls,,FLASH,NY,6/1/1976 20:00 +Shepherd,,TRIANGLE,TX,6/1/1976 20:00 +Tacoma,,SPHERE,WA,6/1/1976 20:00 +Jacksonville,,DISK,FL,6/1/1976 20:30 +Alexandria,,LIGHT,LA,6/1/1976 21:00 +Covington,,DISK,KY,6/1/1976 21:00 +Point Pleasent,,LIGHT,NJ,6/1/1976 21:00 +Cossayuna,,,NY,6/1/1976 22:00 +Gresham,,VARIOUS,OR,6/1/1976 22:00 +Kannapolis,,OVAL,NC,6/1/1976 23:00 +Newark,,CIRCLE,OH,6/1/1976 23:00 +no data,,LIGHT,TN,6/1/1976 23:00 +Rutherfordton,BLUE,,NC,6/1/1976 23:00 +Waco,,SPHERE,TX,6/1/1976 23:00 +Everett,,,WA,6/2/1976 0:00 +Holyoke,,DISK,MA,6/5/1976 23:00 +Copley,,DISK,OH,6/6/1976 13:00 +Fort Worth,BLUE,FIREBALL,TX,6/6/1976 16:00 +San Diego,,CIRCLE,CA,6/6/1976 21:00 +Imperial Beach,,LIGHT,CA,6/6/1976 22:00 +Mansfield,,DISK,OH,6/6/1976 23:00 +Littleton,,,CO,6/10/1976 22:35 +Wurtland,,CIGAR,KY,6/14/1976 3:30 +South Hattisburg,,OVAL,MS,6/14/1976 13:00 +Midland,,LIGHT,TX,6/15/1976 2:00 +Odessa,,DISK,TX,6/15/1976 2:00 +Greenbush,,CIRCLE,MN,6/15/1976 3:00 +"Woodberry Forest Preparatory School, VA",,LIGHT,VA,6/15/1976 3:00 +Bonney Lake,,OTHER,WA,6/15/1976 6:30 +Strathmore,,CIGAR,CA,6/15/1976 7:00 +Canton,,CIGAR,OH,6/15/1976 11:00 +Winchester,,CIRCLE,MA,6/15/1976 13:00 +Bergenfield,,CIGAR,NJ,6/15/1976 14:00 +Ford City,RED,CIGAR,PA,6/15/1976 17:00 +Mt. Royal,,,NJ,6/15/1976 19:00 +Simi Valley,,LIGHT,CA,6/15/1976 20:00 +Smithtown,,DISK,NY,6/15/1976 20:00 +Brentwood,,DISK,NY,6/15/1976 21:00 +Long Beach,,DISK,NY,6/15/1976 21:00 +Western,,RECTANGLE,KS,6/15/1976 21:00 +Wyandotte,,TRIANGLE,MI,6/15/1976 21:30 +Beaver Creek,,DISK,OR,6/15/1976 22:00 +Joshua Tree National Monument,,FORMATION,CA,6/15/1976 22:00 +Simi Valley,,CIRCLE,CA,6/15/1976 22:00 +Wilkes-Barre,,DISK,PA,6/15/1976 22:00 +Tulsa,,LIGHT,OK,6/15/1976 22:45 +Drumright,,,OK,6/15/1976 23:00 +Hobbs,,FLASH,NM,6/15/1976 23:00 +Dale,,OTHER,IN,6/17/1976 21:00 +Warden,,LIGHT,WA,6/18/1976 21:00 +Limestone,,CIGAR,ME,6/20/1976 0:00 +Dunbar,,TRIANGLE,WV,6/20/1976 20:00 +Little Rock,,SPHERE,AR,6/21/1976 1:30 +Palo Alto,,LIGHT,CA,6/22/1976 1:00 +Madison,,CIRCLE,NH,6/23/1976 22:00 +Phoenix,,DISK,AZ,6/25/1976 22:00 +Youngstown,,DISK,OH,6/25/1976 23:00 +Fargo,,DISK,ND,6/26/1976 11:00 +Lake McClure,,,CA,6/30/1976 0:00 +Kutztown,,DISK,PA,6/30/1976 0:30 +Cactus Flat,RED ORANGE,FIREBALL,SD,6/30/1976 1:00 +San Jose,,SPHERE,CA,6/30/1976 7:00 +Berrien Springs,,DISK,MI,6/30/1976 12:00 +Cambridge,,DIAMOND,MA,6/30/1976 18:00 +Hadley,,OVAL,KY,6/30/1976 20:00 +Simi Valley,,LIGHT,CA,6/30/1976 20:00 +Elmira Heights,,CIRCLE,NY,6/30/1976 21:15 +Springfield,,DISK,LA,6/30/1976 22:00 +Brooksville,,DISK,FL,6/30/1976 23:00 +Johnstown,,TRIANGLE,CO,7/1/1976 0:00 +San Diego,RED,TRIANGLE,CA,7/1/1976 0:00 +Santa Cruz,,,CA,7/1/1976 0:00 +Grand Chain,,FIREBALL,IL,7/1/1976 14:00 +Corpus Christi,,CYLINDER,TX,7/1/1976 15:00 +Lompoc,,CIRCLE,CA,7/1/1976 20:00 +Philadelphia,,OVAL,PA,7/1/1976 20:00 +Charleston,GREEN,,SC,7/1/1976 21:00 +Daytona,,FIREBALL,FL,7/1/1976 21:00 +Hudson,,CIGAR,MI,7/1/1976 21:00 +Ft. Belvoir,,FORMATION,VA,7/1/1976 22:00 +Gadsden,,DISK,AL,7/1/1976 22:00 +San Diego,,LIGHT,CA,7/1/1976 23:30 +Boulder,,DISK,CO,7/3/1976 21:00 +Allenspark,,TEARDROP,CO,7/4/1976 1:00 +Ridinger Lake,,RECTANGLE,IN,7/4/1976 2:00 +Ausable Forks,,SPHERE,NY,7/4/1976 22:00 +Taylorville,,LIGHT,IL,7/4/1976 23:59 +Allentown,,,PA,7/5/1976 2:46 +Kings Bay,YELLOW,LIGHT,GA,7/5/1976 23:45 +St. Clair Shores,,DISK,MI,7/8/1976 15:00 +Phoenix,,DISK,AZ,7/10/1976 11:30 +Strongsville,,TRIANGLE,OH,7/10/1976 23:00 +Warwick,,CIGAR,RI,7/12/1976 18:01 +Cave Junction,,TRIANGLE,OR,7/15/1976 0:00 +Nevada,,LIGHT,MO,7/15/1976 2:00 +Santa Monica,,,CA,7/15/1976 3:00 +Winter Park,,FIREBALL,FL,7/15/1976 10:00 +St. Louis,,CYLINDER,MO,7/15/1976 13:00 +Hyde Park,,DISK,NY,7/15/1976 14:00 +Vashon Island,ORANGE,SPHERE,WA,7/15/1976 14:30 +Berthold,,CIGAR,ND,7/15/1976 15:00 +Kissimmee,,CIRCLE,FL,7/15/1976 19:00 +Orlando,,DISK,FL,7/15/1976 20:00 +Silverthorne,,DISK,CO,7/15/1976 20:00 +West Liberty,,CIRCLE,IA,7/15/1976 20:00 +Memphis,,LIGHT,TN,7/15/1976 21:30 +Leakey,,LIGHT,TX,7/15/1976 21:50 +Pine City,,OVAL,MN,7/15/1976 22:00 +St. Charles,,LIGHT,MO,7/15/1976 22:30 +Bokchito,,CIRCLE,OK,7/15/1976 23:00 +Greenup,,LIGHT,KY,7/15/1976 23:00 +Leominster,,,MA,7/15/1976 23:00 +Hampton,,,NH,7/17/1976 1:00 +Iowa City,,CIGAR,IA,7/17/1976 21:00 +Roseville,,RECTANGLE,MN,7/20/1976 5:30 +New Gulf,,TRIANGLE,TX,7/20/1976 21:00 +Newbury Park,,,CA,7/20/1976 22:50 +Durham,,,FL,7/20/1976 23:30 +Warren,,DISK,MI,7/21/1976 1:00 +Brevard,ORANGE,SPHERE,NC,7/21/1976 23:00 +Casper,,CIRCLE,WY,7/25/1976 18:00 +Warwick,,LIGHT,NY,7/26/1976 19:00 +Cowley,,CYLINDER,WY,7/27/1976 1:00 +Fort Lauderdale,,DISK,FL,7/28/1976 3:30 +Fort Lauderdale,,DISK,FL,7/28/1976 21:00 +South Africa,,OVAL,AR,7/30/1976 20:00 +Georgetown,,LIGHT,TX,8/1/1976 0:00 +Arlington,,DISK,VT,8/1/1976 18:00 +San Jose,,DISK,CA,8/1/1976 21:00 +Houston,,,TX,8/1/1976 23:20 +Sacramento,,RECTANGLE,CA,8/8/1976 19:30 +Mountlake Terrace,,TRIANGLE,WA,8/8/1976 23:00 +Port Richey,GREEN,FORMATION,FL,8/8/1976 23:30 +Northwood,,LIGHT,IA,8/10/1976 1:00 +Arcola,,CROSS,VA,8/10/1976 21:00 +Sebago,,LIGHT,ME,8/10/1976 22:30 +Portland,,TRIANGLE,OR,8/11/1976 21:00 +Avenue City,,LIGHT,MO,8/15/1976 2:00 +McDermitt,RED,CYLINDER,NV,8/15/1976 16:30 +Birmingham,,DISK,AL,8/15/1976 18:00 +Buellton,,OTHER,CA,8/15/1976 19:00 +Kenosha,,TRIANGLE,WI,8/15/1976 21:00 +Lincoln Park,,CIRCLE,MI,8/15/1976 22:00 +Hatboro,,SPHERE,PA,8/15/1976 22:30 +Weekapaug,,FORMATION,RI,8/15/1976 22:30 +Ossipee,,LIGHT,NH,8/15/1976 23:00 +Tierra Verde,,VARIOUS,FL,8/15/1976 23:00 +Sycamore,,TRIANGLE,IL,8/18/1976 17:00 +Los Angeles,,RECTANGLE,CA,8/20/1976 1:00 +Kissimmee,,DISK,FL,8/20/1976 20:00 +Jonesboro,,TRIANGLE,LA,8/25/1976 22:00 +Portland,,CIGAR,OR,8/30/1976 2:00 +Canon City,,OVAL,CO,9/1/1976 4:00 +San Antonio,,SPHERE,TX,9/1/1976 9:00 +St. Agatha,,LIGHT,ME,9/1/1976 19:00 +Lighthouse Point,,DISK,FL,9/1/1976 21:00 +Washougal,,LIGHT,WA,9/1/1976 22:00 +Belzoni,,LIGHT,MS,9/1/1976 22:30 +Ahwahnee,BLUE,FIREBALL,CA,9/1/1976 23:00 +Moose Lake,,DISK,MN,9/2/1976 3:00 +Broadview Heights,,DISK,OH,9/5/1976 2:00 +County,RED,OTHER,KY,9/7/1976 18:45 +Franconia,,OTHER,NH,9/10/1976 3:00 +O'Fallon,RED,DISK,IL,9/10/1976 15:30 +New York City,,DISK,NY,9/10/1976 22:00 +Albany,,CIRCLE,NY,9/10/1976 23:00 +Rancho Palos Verdes,,SPHERE,MT,9/15/1976 16:30 +Laredo,,OVAL,TX,9/15/1976 18:00 +Lynch Station,,LIGHT,VA,9/15/1976 19:30 +Sacramento,,OVAL,CA,9/15/1976 20:00 +Centralia,,OTHER,IL,9/15/1976 21:00 +Hoodsport,,,WA,9/15/1976 21:00 +Bordentown,,OVAL,NJ,9/19/1976 22:00 +Williamsburg,,CIRCLE,KY,9/20/1976 7:30 +Akron,,LIGHT,OH,9/25/1976 22:00 +St. Paul,GREEN,,MN,9/27/1976 3:00 +Hartville,,DISK,OH,10/1/1976 7:00 +Fairport,,DISK,NY,10/1/1976 19:00 +Thonotosassa,,DISK,FL,10/1/1976 21:00 +Charleston AFS,,,ME,10/2/1976 1:00 +Limestone,,DISK,ME,10/2/1976 22:00 +Washougal,,OVAL,WA,10/10/1976 20:30 +Emporia,,DISK,KS,10/12/1976 23:00 +Mineral King,,DISK,CA,10/15/1976 17:30 +Rochester,RED,,NY,10/15/1976 19:30 +Eveleth,,LIGHT,MN,10/15/1976 21:00 +Almena,,,WI,10/15/1976 23:00 +New Gretna,,TRIANGLE,NJ,10/16/1976 0:00 +Avon Lake,,CIRCLE,OH,10/20/1976 0:00 +Soldotna,RED,SPHERE,AK,10/20/1976 22:00 +St. George,RED,LIGHT,UT,10/21/1976 21:00 +Dallas,,DISK,TX,10/30/1976 16:30 +Louisville,,DISK,KY,10/30/1976 22:50 +Los Angeles,,OVAL,CA,10/31/1976 18:00 +Garland,,OTHER,TX,10/31/1976 20:00 +Wilmington,,DISK,DE,11/1/1976 21:30 +Orchard Lake,,RECTANGLE,MI,11/5/1976 19:30 +Hartsville,,LIGHT,SC,11/11/1976 20:00 +Tarboro,,DISK,NC,11/12/1976 18:00 +Oscoda,,DISK,MI,11/15/1976 21:00 +Taunton,ORANGE,FIREBALL,MA,11/15/1976 22:00 +Bedford Heights,BLUE,OVAL,OH,11/15/1976 23:00 +Pennsylvania,,DISK,PA,11/17/1976 15:00 +Sierra Vista,,,AZ,11/19/1976 23:00 +Virginia,,FIREBALL,VA,11/25/1976 20:20 +Omaha,,RECTANGLE,NE,11/25/1976 23:00 +Houston,,CIRCLE,TX,11/26/1976 3:30 +Stead Nevada,,DISK,NV,11/27/1976 15:00 +Milford,,DISK,CT,12/3/1976 15:30 +Monrovia,,TRIANGLE,IN,12/3/1976 23:00 +Davie,,VARIOUS,FL,12/6/1976 5:30 +Junction City,,DIAMOND,KS,12/15/1976 22:15 +Winslow,,DISK,ME,12/25/1976 19:00 +Conshohocken,,OTHER,PA,12/27/1976 19:00 +New Canaan,,,CT,1/1/1977 2:30 +Great Neck,,CYLINDER,NY,1/1/1977 12:00 +New York City,,SPHERE,NY,1/1/1977 19:30 +La Crescenta,,FORMATION,CA,1/1/1977 20:00 +Westminster,,DISK,CA,1/1/1977 20:00 +El Paso,,,TX,1/14/1977 22:00 +Dingman's Ferry,,LIGHT,PA,1/15/1977 1:00 +Scottsbluff County,,CHEVRON,NE,1/15/1977 20:10 +Fall River,,OVAL,RI,1/18/1977 17:45 +Riverside,,OVAL,RI,1/18/1977 17:45 +Coventry,,TRIANGLE,RI,1/19/1977 20:30 +Ft. Knox,,LIGHT,KY,2/15/1977 2:30 +Joyce Kilmer Slickrock Creek Wilderness,,CIRCLE,NC,2/15/1977 20:00 +Bloomington,,OVAL,IN,2/21/1977 23:42 +Terre Haute,,,IN,3/1/1977 12:12 +Hamlet,,SPHERE,IL,3/1/1977 20:00 +Hometown,,TRIANGLE,PA,3/2/1977 20:45 +St. Louis,,CIRCLE,MO,3/11/1977 13:00 +Stevens Pass,ORANGE,SPHERE,WA,3/15/1977 20:30 +Brea,,FORMATION,CA,3/15/1977 22:00 +Los Angeles,,DISK,CA,3/17/1977 18:00 +Lake Worth,,CHEVRON,TX,3/19/1977 19:00 +Los Angeles,,OTHER,CA,3/19/1977 20:30 +Minneola,,CIGAR,FL,3/20/1977 11:00 +Ridgway,RED,RECTANGLE,IL,3/20/1977 20:00 +Southgate,,DISK,MI,3/27/1977 10:00 +Louisville,RED,LIGHT,KY,4/1/1977 22:00 +Silver Spring,,DISK,MD,4/11/1977 14:00 +Hattiesburg,RED GREEN,CIGAR,MS,4/15/1977 5:00 +Hattiesburg,RED GREEN,CIGAR,MS,4/15/1977 17:00 +Phoenix,,CIGAR,AZ,4/15/1977 21:00 +Clearence Center,,OVAL,NY,4/15/1977 23:00 +South Royalton,,DISK,VT,4/16/1977 14:00 +Long Green,,DISK,MD,4/17/1977 16:30 +Augusta,,RECTANGLE,GA,4/17/1977 22:00 +Kansas City,RED,OTHER,MO,4/26/1977 18:05 +Sinton,,OVAL,TX,4/30/1977 23:00 +Bridgeport,,DISK,CT,5/1/1977 0:00 +Jacksonville,,TRIANGLE,AR,5/1/1977 0:00 +none,,SPHERE,FL,5/1/1977 1:00 +Yazoo City,,OVAL,MS,5/1/1977 17:00 +Des Plaines,,OVAL,IL,5/1/1977 19:00 +Palatine,,OVAL,IL,5/1/1977 19:00 +Winamuccha,,CIGAR,NV,5/1/1977 20:25 +Freeland,,OTHER,MI,5/1/1977 21:30 +Denver,,LIGHT,CO,5/1/1977 22:00 +Kinder,,SPHERE,LA,5/8/1977 16:00 +Kemah,,LIGHT,TX,5/10/1977 1:00 +Salem,,CIGAR,OR,5/15/1977 0:00 +Elmont,,DISK,VA,5/15/1977 8:00 +Minneapolis,RED GREEN,,MN,5/15/1977 23:00 +Marana,,SPHERE,AZ,5/22/1977 20:00 +Mettacahonts,,CIRCLE,NY,5/23/1977 21:00 +Marshall,,CIGAR,IL,5/25/1977 1:00 +Meridian,,DISK,ID,5/28/1977 0:00 +Meridian,,DISK,ID,5/28/1977 0:01 +Los Angeles,,CIGAR,CA,5/28/1977 21:00 +Watertown,,CIGAR,NY,5/29/1977 23:30 +Bratenhaul,,DISK,OH,5/30/1977 10:00 +Clements,,VARIOUS,CA,6/1/1977 0:00 +Miami,,DIAMOND,FL,6/1/1977 0:00 +Raymond,,TRIANGLE,NH,6/1/1977 0:30 +Hesperia,,EGG,CA,6/1/1977 1:00 +Coral Springs,,TRIANGLE,FL,6/1/1977 1:30 +Hanna City,,CYLINDER,IL,6/1/1977 2:00 +Plantation,,CIRCLE,FL,6/1/1977 2:00 +Shaver Lake,,CIGAR,CA,6/1/1977 3:30 +Fort Worth,,DISK,TX,6/1/1977 16:00 +Shelby,,CIRCLE,OH,6/1/1977 17:00 +Meriden,,OVAL,CT,6/1/1977 20:00 +San Antonio,,OVAL,TX,6/1/1977 21:00 +Butte Meadows,,,CA,6/1/1977 22:00 +Hart's Location,,CIRCLE,NH,6/1/1977 22:00 +John Day,RED ORANGE,OVAL,OR,6/1/1977 22:00 +Simi Valley,RED,DISK,CA,6/1/1977 22:00 +Grand Forks,,CIRCLE,ND,6/1/1977 23:00 +Houtzdale R.D.,,EGG,PA,6/1/1977 23:00 +Yazoo City,,OVAL,MS,6/1/1977 23:00 +Hudson,,CIRCLE,NH,6/1/1977 23:30 +Gaithersburg,,CIGAR,MD,6/1/1977 23:45 +Valley Station,,CIRCLE,KY,6/4/1977 23:00 +Napa,,DISK,CA,6/6/1977 19:00 +Winston,,CIRCLE,OR,6/7/1977 23:00 +Kingsville,,DISK,TX,6/10/1977 15:00 +Stockton,,DISK,CA,6/10/1977 20:00 +Leesburg,,OTHER,FL,6/10/1977 20:30 +Santa Rosa,,CHEVRON,CA,6/10/1977 21:00 +Dekalb,,OTHER,IL,6/10/1977 22:30 +Barstow,,,CA,6/15/1977 1:00 +Fort Worth,,SPHERE,TX,6/15/1977 1:00 +Stillwater,,LIGHT,OK,6/15/1977 1:00 +Kodiak Island,,CIRCLE,AK,6/15/1977 2:00 +Indiana,,,IN,6/15/1977 10:00 +Cedar City,,TRIANGLE,UT,6/15/1977 13:00 +West Palm Beach,,DISK,FL,6/15/1977 15:00 +Arlington Heights,,DISK,IL,6/15/1977 19:00 +Medina,,DISK,OH,6/15/1977 20:00 +New Orleans,,,LA,6/15/1977 20:00 +Sacramento,,DISK,CA,6/15/1977 20:30 +Asheville,,,NC,6/15/1977 21:00 +Auburn,,TRIANGLE,CA,6/15/1977 21:00 +Gaithersburg,,OVAL,MD,6/15/1977 21:00 +Newington,,DISK,NH,6/15/1977 21:00 +Newport,,LIGHT,OR,6/15/1977 21:30 +San Diego,BLUE,SPHERE,CA,6/15/1977 21:30 +Fort Collins,,CIGAR,CO,6/15/1977 22:00 +Otis,RED GREEN,DISK,MA,6/15/1977 22:30 +Topeka,,LIGHT,KS,6/15/1977 22:30 +Ridgefield,,CIRCLE,WA,6/15/1977 23:00 +Rockville,,DISK,MD,6/16/1977 19:00 +Interstate 65,,LIGHT,AL,6/16/1977 22:00 +Columbia,,OVAL,NC,6/17/1977 1:00 +Lake Worth,,CIGAR,FL,6/17/1977 23:15 +Arvada,,LIGHT,CO,6/19/1977 22:05 +Accord,RED,TRIANGLE,NY,6/20/1977 20:30 +Chopin,,FIREBALL,LA,6/21/1977 21:00 +Boston,,SPHERE,MA,6/24/1977 1:00 +Scott County,,CIRCLE,KY,6/25/1977 0:00 +Waitesfield,ORANGE,LIGHT,VT,6/29/1977 3:00 +Lawrenceville,,DISK,GA,6/30/1977 0:00 +Russellville,,LIGHT,AR,6/30/1977 1:00 +Whittier,,TRIANGLE,CA,6/30/1977 16:00 +San Jose,,FLASH,CA,6/30/1977 20:30 +Cambridge,,OTHER,MA,6/30/1977 21:00 +Clarion,,DIAMOND,PA,6/30/1977 22:00 +St. Joseph,,OVAL,MI,6/30/1977 23:45 +Edgemoor,,DISK,SC,7/1/1977 0:00 +Edgemoore,,DISK,SC,7/1/1977 0:00 +Racine,,DISK,WI,7/1/1977 2:00 +Anniston,,DISK,AL,7/1/1977 12:00 +Miami,,TRIANGLE,FL,7/1/1977 15:00 +Fenton,GREEN,CIRCLE,MI,7/1/1977 19:00 +Burnet,,LIGHT,TX,7/1/1977 22:00 +Nashua,,DISK,NH,7/1/1977 23:00 +Close to Carlsbad Cavrans,,EGG,NM,7/2/1977 1:00 +Glen Head,,CIGAR,NY,7/2/1977 14:00 +Don't remember,,CIRCLE,NH,7/2/1977 20:30 +Hampton,,CIRCLE,NH,7/2/1977 21:00 +Waddy,,LIGHT,KY,7/3/1977 11:00 +Marley Park,,SPHERE,MD,7/4/1977 14:00 +Toppenish,,DISK,WA,7/4/1977 19:45 +Federal Way,,CIRCLE,WA,7/4/1977 22:00 +Happy,,DIAMOND,TX,7/4/1977 23:59 +Kekaha,,CIRCLE,HI,7/5/1977 2:00 +Greenup,,CIGAR,IL,7/7/1977 18:00 +Brier Hill,,DISK,PA,7/8/1977 15:30 +California Hotsprings,,DISK,CA,7/9/1977 20:30 +Calumet City,ORANGE BLUE,CIRCLE,IL,7/10/1977 21:00 +Des Moines,,TRIANGLE,IA,7/12/1977 1:30 +Hillsborough,,CIGAR,CA,7/12/1977 1:30 +St. Petersburg,,DISK,FL,7/12/1977 14:00 +Live Oak,,TRIANGLE,CA,7/14/1977 13:00 +Greenville,,,MI,7/14/1977 23:00 +Rock Hill,,DISK,SC,7/15/1977 0:00 +Edgemoore,,,SC,7/15/1977 0:01 +Arleta,,TRIANGLE,CA,7/15/1977 1:00 +New Albany,,OVAL,OH,7/15/1977 19:00 +Albuquerque,,CHEVRON,NM,7/15/1977 21:00 +Orlando,,DISK,FL,7/15/1977 21:00 +San Francisco,,CIRCLE,CA,7/15/1977 21:30 +Huntington Beach,RED GREEN,RECTANGLE,CA,7/15/1977 21:45 +Houtzdale,,FIREBALL,PA,7/15/1977 22:30 +Orlando,,DISK,FL,7/15/1977 23:00 +Fairview,,CIRCLE,NJ,7/17/1977 15:00 +Williamsburg,,CIGAR,VA,7/20/1977 20:15 +Milwaukee,,FORMATION,WI,7/20/1977 22:30 +Atwater,,DISK,CA,7/22/1977 23:00 +Albuquerque,,OVAL,NM,7/24/1977 7:00 +Cerrillos,,TRIANGLE,NM,7/24/1977 23:45 +Danbury,,DISK,CT,7/25/1977 20:00 +Hebron,,OVAL,KY,7/25/1977 23:00 +So. Farmingdale,BLUE,,NY,7/26/1977 14:00 +So. Farmingdale,,CIRCLE,NY,7/26/1977 14:00 +Aurora,,CHEVRON,CO,7/30/1977 3:00 +Aurora,,LIGHT,CO,7/30/1977 22:00 +Whittier,,CHEVRON,CA,8/1/1977 2:00 +Pleasenton,,DISK,CA,8/1/1977 16:00 +Tinsley,,CIGAR,MS,8/1/1977 16:00 +Fairfield,,OTHER,CT,8/1/1977 19:00 +Marthasville,,CIRCLE,MO,8/1/1977 21:30 +Mechanicsburg,,TRIANGLE,PA,8/1/1977 22:00 +Washburn,,CHEVRON,TN,8/1/1977 23:30 +Branford,,DISK,CT,8/7/1977 20:30 +Tomahawk,,OVAL,WI,8/7/1977 21:44 +Portsmouth,,RECTANGLE,NH,8/8/1977 18:00 +Jefferson,RED BLUE,TRIANGLE,OH,8/8/1977 21:00 +Twentynine Palms,,,CA,8/8/1977 23:00 +Denver,,TRIANGLE,CO,8/9/1977 22:00 +Hazard,,LIGHT,KY,8/10/1977 1:00 +Minneapolis,,DISK,MN,8/10/1977 21:10 +Cartecay,,TRIANGLE,GA,8/11/1977 17:00 +San Leandro,,DISK,CA,8/12/1977 3:00 +Michigan City,,SPHERE,IN,8/12/1977 22:00 +Olney,,TRIANGLE,IL,8/14/1977 16:30 +Rockford,,,MN,8/15/1977 1:00 +Brea,,LIGHT,CA,8/15/1977 2:00 +Portage Lake,,DISK,ME,8/15/1977 2:00 +Plymouth,,LIGHT,IN,8/15/1977 3:00 +Rolla,,DISK,MO,8/15/1977 17:00 +Bristol,ORANGE,SPHERE,IN,8/15/1977 20:30 +Caribou,GREEN,LIGHT,ME,8/15/1977 20:30 +Interstate 65,,LIGHT,AL,8/15/1977 23:00 +Black River Falls,,LIGHT,WI,8/18/1977 19:30 +Huntington Beach,,CIRCLE,CA,8/22/1977 0:00 +Ukiah,,VARIOUS,CA,8/28/1977 21:50 +Everton,,,MO,8/31/1977 0:00 +Bourbonnais,,TRIANGLE,IL,9/1/1977 0:00 +Middletown,,,PA,9/1/1977 0:00 +Plano,,DISK,TX,9/1/1977 13:00 +Everett,,TRIANGLE,WA,9/1/1977 16:00 +Arlington,,SPHERE,VT,9/1/1977 18:00 +Diamond Bar,,CHEVRON,CA,9/1/1977 18:30 +Middletown,,DISK,PA,9/1/1977 18:30 +Grand Rapids,,CONE,MI,9/1/1977 20:00 +Keene Valley,BLUE,LIGHT,NY,9/1/1977 20:00 +Dublin,,TRIANGLE,HI,9/1/1977 21:00 +Tahlequah,,TRIANGLE,OK,9/1/1977 23:00 +Texas,,CIGAR,TX,9/10/1977 13:00 +Gabbs,,TRIANGLE,NV,9/12/1977 19:00 +Beatty,,LIGHT,OR,9/15/1977 0:00 +Childs,,,AZ,9/15/1977 0:00 +Alhambra,,DISK,CA,9/15/1977 13:44 +Knoxville,,DISK,TN,9/15/1977 18:00 +Dublin,,TRIANGLE,NH,9/15/1977 20:00 +Heber,,TRIANGLE,AZ,9/15/1977 21:00 +Iselton,,LIGHT,CA,10/1/1977 1:00 +Fountain Valley,ORANGE,OTHER,CA,10/1/1977 19:00 +Ferndale,,OTHER,CA,10/1/1977 22:00 +Akron,,CYLINDER,OH,10/5/1977 22:00 +San Antonio,,OTHER,TX,10/10/1977 12:00 +Louisville,,LIGHT,KY,10/10/1977 22:00 +Biloxi,,TRIANGLE,MS,10/15/1977 21:00 +Orlando,GREEN,DISK,FL,10/15/1977 22:00 +Kennewick,RED,LIGHT,WA,10/15/1977 23:00 +East Haven,,DISK,CT,10/16/1977 18:00 +Christmas Valley,,FORMATION,OR,10/25/1977 19:30 +Ft. Wayne,,DISK,IN,10/27/1977 23:30 +Marble Hill,,,MO,11/1/1977 23:30 +Brockport,,DISK,NY,11/4/1977 17:00 +Weimar,,OTHER,CA,11/8/1977 14:00 +Jackson,,TRIANGLE,MS,11/11/1977 22:00 +Newburgh,,DISK,NY,11/15/1977 1:00 +Sidney,RED GREEN BLUE,CIRCLE,MT,11/15/1977 20:30 +Kalamazoo,,DISK,MI,11/15/1977 22:30 +Bensalem,RED,SPHERE,PA,11/17/1977 19:00 +Aurora,,CIRCLE,CO,11/20/1977 19:00 +Tahlequah,,TRIANGLE,OK,11/22/1977 23:30 +Saint James,RED,SPHERE,NY,11/23/1977 16:15 +New Hampton,,OTHER,NH,11/24/1977 22:30 +Canandaigua,,TRIANGLE,NY,11/26/1977 14:00 +Jones,RED BLUE,OTHER,MS,11/27/1977 19:06 +Fort Lauderdale,,CHEVRON,FL,12/3/1977 0:50 +New Albany,,DISK,IN,12/15/1977 12:00 +Malvern,RED,LIGHT,AR,12/15/1977 22:00 +Muscoda,RED,TRIANGLE,WI,12/17/1977 19:30 +Jackson,,,MS,12/24/1977 0:00 +Philadelphia,,OVAL,NY,12/24/1977 23:00 +Worcester,,DISK,MA,12/28/1977 20:00 +Carlyss,,,LA,1/1/1978 1:00 +June Lake,,DISK,CA,1/1/1978 1:00 +Whittier,,TRIANGLE,CA,1/1/1978 2:30 +Sagle,,SPHERE,ID,1/1/1978 13:00 +Warwick,RED,SPHERE,RI,1/5/1978 0:00 +Westport,,OTHER,CA,1/6/1978 1:00 +Bristol,,,TN,1/7/1978 2:00 +Chatsworth,,CIRCLE,CA,1/9/1978 3:30 +Thousand Oaks,YELLOW,CIRCLE,CA,1/9/1978 4:30 +Grand Rapids,,DISK,MI,1/12/1978 20:00 +Grand Rapids,,DISK,MI,1/12/1978 20:00 +Midland,,CIGAR,TX,1/20/1978 2:00 +Meriden,,DIAMOND,CT,1/22/1978 22:00 +Massachusetts,,FIREBALL,NH,1/27/1978 0:00 +Detroit,,,MI,2/1/1978 0:00 +Dublin,,TRIANGLE,NH,2/1/1978 22:00 +Brighton,,TRIANGLE,MI,2/9/1978 19:45 +Escawtawpa,,DISK,MS,2/11/1978 3:00 +Eastport,ORANGE,CIGAR,ME,2/15/1978 2:00 +Waltham,,,MA,2/15/1978 3:00 +Geneseo,,,NY,2/20/1978 19:00 +Soccoro,BLUE,,NM,2/21/1978 3:00 +Los Gatos,,OVAL,CA,3/1/1978 17:00 +Saint Clair Shores,,OVAL,MI,3/1/1978 19:30 +Stoughton,,OTHER,MA,3/1/1978 22:00 +Yreka,,TRIANGLE,CA,3/4/1978 22:00 +Rose Hill,,RECTANGLE,NC,3/5/1978 21:00 +Simi Valley,,OVAL,CA,3/7/1978 22:00 +Bellevue,,DISK,WA,3/10/1978 21:00 +Lolo,,LIGHT,MT,3/15/1978 1:00 +Mississippi,,DISK,MS,3/15/1978 13:00 +Denver,,TRIANGLE,CO,3/17/1978 19:00 +Medford,,DISK,OR,3/21/1978 4:00 +Winterhaven,,DISK,CA,3/25/1978 22:00 +Farmington,,CIRCLE,NM,4/1/1978 4:00 +Green Springs,,CYLINDER,OH,4/1/1978 21:30 +Los Angeles,BLUE,,CA,4/4/1978 2:00 +Natick,,SPHERE,MA,4/4/1978 21:00 +Natick,,SPHERE,MA,4/4/1978 21:15 +Natick,,SPHERE,MA,4/4/1978 22:00 +Chittenango,,FIREBALL,NY,4/6/1978 20:00 +Pleasant Hill,,,OR,4/15/1978 13:00 +Richardson,,OTHER,TX,4/15/1978 13:00 +Albuquerque,,DISK,NM,4/15/1978 18:00 +Westland,,DISK,MI,4/19/1978 23:00 +Tiffen Valley,,FLASH,OH,4/21/1978 0:00 +Wrightstown,,LIGHT,PA,5/1/1978 0:00 +Big Bear Lake,,DISK,CA,5/1/1978 18:00 +Midway,,OTHER,KY,5/2/1978 21:00 +Gardner,,OVAL,MA,5/5/1978 6:30 +Pasadena,,CIGAR,CA,5/5/1978 13:00 +Fort Worth,,LIGHT,TX,5/6/1978 0:00 +Barrington,,TRIANGLE,IL,5/6/1978 21:00 +Grand Prairie,,TRIANGLE,TX,5/7/1978 21:50 +San Diego,,VARIOUS,CA,5/10/1978 20:30 +Sandwich,BLUE,TRIANGLE,MA,5/10/1978 20:30 +Paramus,,CIGAR,NJ,5/24/1978 1:30 +Philadelphia,,FIREBALL,PA,5/29/1978 20:00 +Grants Pass,RED YELLOW GREEN BLUE,DISK,OR,6/1/1978 0:00 +Grand Saline,,LIGHT,TX,6/1/1978 0:30 +Marshall,,CIGAR,IL,6/1/1978 1:00 +Lancaster,,SPHERE,OH,6/1/1978 3:00 +Las Vegas,,LIGHT,NV,6/1/1978 5:00 +Hudsonville,,OTHER,MI,6/1/1978 12:00 +Katy,,EGG,TX,6/1/1978 13:00 +Georgia coast,,DIAMOND,GA,6/1/1978 14:00 +Attica,,OVAL,MI,6/1/1978 18:00 +Fulton,,FIREBALL,MO,6/1/1978 18:00 +North Adams,,SPHERE,MA,6/1/1978 19:00 +Pensacola,,OVAL,FL,6/1/1978 19:00 +Elsberry,,LIGHT,MO,6/1/1978 20:00 +Fort Hood,,CIRCLE,TX,6/1/1978 20:00 +Ocean City,,TRIANGLE,NJ,6/1/1978 20:00 +Philadelphia,,OTHER,PA,6/1/1978 20:00 +Columbia,,CIRCLE,SC,6/1/1978 21:00 +John's Island,GREEN,OVAL,SC,6/1/1978 21:00 +Paterson,,DISK,NJ,6/1/1978 21:00 +Lee Park,,DISK,PA,6/1/1978 21:30 +Bourbonnais,,DISK,IL,6/1/1978 22:00 +Florida Keys,,,FL,6/1/1978 22:00 +Paxton,GREEN,,IL,6/1/1978 22:00 +Sterling Park,,DISK,VA,6/1/1978 22:00 +Victoria,,OVAL,TX,6/1/1978 22:00 +Dallas,,OVAL,TX,6/5/1978 19:20 +Tennyson,,FLASH,TX,6/10/1978 13:00 +Diamond Bar,,,CA,6/12/1978 0:00 +Los Angeles,,TRIANGLE,CA,6/14/1978 9:15 +Warrensville,,TRIANGLE,PA,6/15/1978 0:00 +Appleton,,LIGHT,MN,6/15/1978 0:30 +Michigan,,,MI,6/15/1978 1:30 +Boston,,SPHERE,MA,6/15/1978 3:00 +Hoopa,,OVAL,CA,6/15/1978 12:00 +Orange,,CIRCLE,CA,6/15/1978 14:00 +Levittown,,DISK,NY,6/15/1978 17:00 +Granite Station,,CYLINDER,CA,6/15/1978 17:30 +Zimmerman,,TEARDROP,MN,6/15/1978 18:00 +Madison Heights,,CIRCLE,VA,6/15/1978 19:30 +Lowell,,CIGAR,MA,6/15/1978 20:00 +Mancelona,,DISK,MI,6/15/1978 20:00 +Baton Rouge,,OVAL,LA,6/15/1978 20:30 +Chattanooga,,DISK,TN,6/15/1978 21:00 +Mancelona,,DISK,MI,6/15/1978 21:00 +Stanwood,,OTHER,WA,6/15/1978 21:00 +Mancelona,,DISK,MI,6/15/1978 22:00 +Mansfield,,,PA,6/15/1978 22:00 +Seattle,,,WA,6/15/1978 22:30 +Madera,,FIREBALL,PA,6/15/1978 23:00 +St. Clair,,SPHERE,PA,6/20/1978 0:00 +Three Oaks,,DISK,MI,6/20/1978 23:00 +Albany,,FIREBALL,NY,6/21/1978 3:00 +Lemoore Naval Air Force Base,,OVAL,CA,6/23/1978 9:30 +Gulfport,,OTHER,MS,6/24/1978 1:00 +Sadieville,,DISK,KY,6/25/1978 7:00 +Griffin,,DISK,GA,6/30/1978 0:00 +New Bedford,,FIREBALL,MA,6/30/1978 1:00 +Twentynine Palms,,EGG,CA,6/30/1978 2:30 +SerlingHights,ORANGE,CIRCLE,IL,6/30/1978 3:00 +Hollister,,DISK,CA,6/30/1978 14:00 +St. Petersburg,,FORMATION,FL,6/30/1978 15:00 +Elmsford,,DISK,NY,6/30/1978 16:00 +Ashtabula,,CYLINDER,OH,6/30/1978 18:00 +Nashua,,DISK,NH,6/30/1978 20:00 +Del Rio,,OVAL,TX,6/30/1978 20:30 +Lake Havasu,,TRIANGLE,AZ,6/30/1978 21:00 +New York City,,OVAL,NY,6/30/1978 21:00 +Taylor,,DISK,MI,6/30/1978 21:00 +Miami,,LIGHT,FL,6/30/1978 22:00 +Piscataway,,,NJ,6/30/1978 22:00 +Oreland,,OTHER,PA,7/1/1978 0:00 +Edina,,TRIANGLE,MN,7/1/1978 0:30 +Lakes Region area of Central New Hampshire,,DISK,NH,7/1/1978 1:00 +Memphis,,TRIANGLE,TN,7/1/1978 1:00 +Los Angeles,,CIRCLE,CA,7/1/1978 2:00 +Fort Drum,RED,LIGHT,NY,7/1/1978 8:45 +Chester,,CHEVRON,NY,7/1/1978 14:00 +Quincy,,TRIANGLE,CA,7/1/1978 15:00 +Mojave,,SPHERE,CA,7/1/1978 17:00 +Carson,,,CA,7/1/1978 17:30 +Riverside,,TRIANGLE,CA,7/1/1978 20:00 +Toledo,,LIGHT,OH,7/1/1978 21:30 +Delta,BLUE,DISK,PA,7/1/1978 22:00 +Logansport,,SPHERE,IN,7/1/1978 22:00 +Monsey,,TRIANGLE,NY,7/1/1978 22:00 +New Rochelle,,OVAL,NY,7/1/1978 22:00 +Lake Martin,,OVAL,AL,7/1/1978 23:00 +Newnan,,RECTANGLE,GA,7/1/1978 23:00 +Kansas City,,DISK,KS,7/2/1978 8:00 +Kansas City,,DISK,PA,7/2/1978 9:00 +Greenriver Lake State Park,,CIRCLE,KY,7/4/1978 2:00 +Oak Harbor,,CIGAR,WA,7/4/1978 12:00 +Fayetteville,,DISK,NC,7/4/1978 19:00 +San Diego,,TRIANGLE,CA,7/4/1978 19:00 +Nashua,,CIRCLE,NH,7/4/1978 20:00 +Reseda,RED,SPHERE,CA,7/4/1978 21:00 +Danville,,SPHERE,IL,7/4/1978 22:15 +Morgantown,,VARIOUS,WV,7/4/1978 23:00 +Allentown,,DISK,PA,7/4/1978 23:59 +New Albany,,OTHER,IN,7/7/1978 12:00 +Ardmore,,SPHERE,AL,7/7/1978 13:00 +Tahlequah,,TRIANGLE,OK,7/7/1978 22:00 +Shelby,,LIGHT,NC,7/8/1978 0:30 +Grand Rapids,,TRIANGLE,MI,7/10/1978 21:00 +Corry,GREEN,LIGHT,PA,7/12/1978 8:00 +San Diego,BLUE,LIGHT,CA,7/12/1978 22:00 +New Symrna beach,,FORMATION,FL,7/14/1978 14:30 +Spokane,,DISK,WA,7/14/1978 22:30 +Santa Fe,RED,LIGHT,NM,7/15/1978 0:00 +Gautier,,DISK,MS,7/15/1978 2:00 +Mesa,,CIGAR,AZ,7/15/1978 12:00 +Weston,,DISK,MA,7/15/1978 16:00 +Pointe Reyes,,SPHERE,CA,7/15/1978 17:00 +Amenia,,DISK,ND,7/15/1978 18:00 +Ottawa,RED,OVAL,KS,7/15/1978 18:30 +Fort Mill,,CIRCLE,SC,7/15/1978 20:30 +San Francisco,,DISK,CA,7/15/1978 20:45 +March Air Force Base,,DISK,CA,7/15/1978 21:30 +Grant,GREEN,LIGHT,CO,7/15/1978 22:00 +Fargo,,TRIANGLE,ND,7/15/1978 23:00 +Centereach,RED,DISK,NY,7/16/1978 21:00 +Hammond,,OTHER,IN,7/18/1978 1:00 +Mojave,,LIGHT,CA,7/19/1978 21:00 +New York City,RED,TRIANGLE,NY,7/20/1978 2:00 +Arizona,,LIGHT,AZ,7/20/1978 4:15 +Livonia,GREEN,FORMATION,MI,7/20/1978 20:00 +Pine Grove,,FORMATION,CA,7/20/1978 20:00 +Westport,,,OR,7/20/1978 23:00 +Ft Irin,,OVAL,CA,7/22/1978 1:30 +Gulfport,,CHEVRON,MS,7/22/1978 2:30 +Phoenix,,VARIOUS,AZ,7/22/1978 18:00 +Brenham,,,TX,7/22/1978 20:00 +Kingsport,RED,DISK,TN,7/25/1978 21:00 +St. Robert,,LIGHT,MO,7/25/1978 21:30 +St. Robert,RED,LIGHT,MO,7/26/1978 0:00 +Eureka,,LIGHT,MO,7/26/1978 15:00 +St. Louis,,,MO,7/26/1978 18:30 +Union,ORANGE,LIGHT,MO,7/26/1978 20:00 +Union,,LIGHT,MO,7/26/1978 22:00 +Union,,LIGHT,MO,7/27/1978 0:45 +Fort Stockton,,LIGHT,TX,7/27/1978 21:00 +Valdosta,,OTHER,GA,7/29/1978 16:00 +Highland,,DISK,IN,7/29/1978 23:30 +Myles Inlet,,OTHER,SC,7/30/1978 23:50 +Phelan,,OVAL,CA,8/1/1978 5:30 +Van Nuys,,SPHERE,CA,8/1/1978 12:00 +Clifton Park,,OVAL,NY,8/1/1978 19:30 +Garland,RED,DISK,TX,8/1/1978 20:00 +Dundee,,SPHERE,FL,8/1/1978 20:30 +Yakima,,LIGHT,WA,8/1/1978 21:00 +Clarksville,,CIRCLE,TN,8/1/1978 22:00 +Reading,,FORMATION,PA,8/1/1978 22:00 +Shelley,,LIGHT,ID,8/2/1978 23:00 +Coldwater,,CYLINDER,MI,8/3/1978 22:00 +Ketchikan,,RECTANGLE,AK,8/5/1978 14:00 +Black Hills,BLUE,LIGHT,AZ,8/6/1978 22:00 +Pecos,,DISK,NM,8/7/1978 22:00 +San Diego,,OVAL,CA,8/10/1978 22:00 +Spokane,,DISK,WA,8/10/1978 22:20 +Auburn,,,CA,8/11/1978 22:00 +Des Moines,,TRIANGLE,IA,8/12/1978 2:00 +Arizona,,FORMATION,AZ,8/13/1978 11:00 +Saginaw,,FORMATION,MI,8/14/1978 13:00 +Simi Valley,,FIREBALL,CA,8/15/1978 2:00 +West Bloomfield,GREEN,FLASH,MI,8/15/1978 2:00 +Longmont,,RECTANGLE,CO,8/15/1978 12:00 +Rochester,,,MN,8/15/1978 13:00 +Gadsden,,SPHERE,AL,8/15/1978 15:30 +Romayor,RED,FIREBALL,TX,8/15/1978 16:30 +Covington,,DISK,WA,8/15/1978 17:00 +Cape Cod,,OTHER,MA,8/15/1978 18:00 +Provo,,DISK,UT,8/15/1978 18:00 +Carbon Hill,,TRIANGLE,AL,8/15/1978 19:30 +Statesboro,,LIGHT,GA,8/15/1978 20:30 +Lawrenceburg,,CIGAR,TN,8/15/1978 21:00 +Suffolk,,CIRCLE,VA,8/15/1978 21:00 +Ticonderoga,,TRIANGLE,NY,8/15/1978 21:00 +Heath,,CIRCLE,MA,8/15/1978 22:00 +Steubenville,,DISK,OH,8/15/1978 22:00 +Pendleton,,LIGHT,OR,8/15/1978 23:00 +Fullerton,,CYLINDER,CA,8/16/1978 0:00 +Ridgecrest,,DISK,CA,8/17/1978 23:00 +Harvey,,DISK,MI,8/18/1978 20:00 +New Britain,,FIREBALL,CT,8/19/1978 1:00 +La Mesa,YELLOW,DISK,CA,8/20/1978 0:00 +Lake Geneva,,DISK,WI,8/20/1978 21:15 +Bastrop,,RECTANGLE,LA,8/21/1978 19:00 +Monroe-Bastrop,,RECTANGLE,LA,8/21/1978 19:00 +Langhorne,,DISK,PA,8/22/1978 20:00 +Bluepoint,,DISK,NY,8/23/1978 19:00 +Fort Worth,,TRIANGLE,TX,8/24/1978 17:00 +Santa Rosa,ORANGE,OVAL,CA,8/25/1978 19:30 +St. Petersburg,,LIGHT,FL,8/27/1978 3:00 +Avon,,RECTANGLE,CT,8/30/1978 1:00 +San Francisco,,CIRCLE,CA,9/1/1978 3:00 +Sioux City,,OTHER,IA,9/1/1978 14:00 +Memphis,,TRIANGLE,TN,9/1/1978 19:00 +Sunnyside,,LIGHT,WA,9/1/1978 19:00 +Greenfield,,LIGHT,IN,9/1/1978 21:15 +Bartlett,,DISK,IL,9/1/1978 22:00 +Leavenworth,ORANGE,LIGHT,KS,9/2/1978 21:00 +Imperial Beach,YELLOW,OTHER,CA,9/9/1978 21:00 +Wells,,TRIANGLE,ME,9/15/1978 10:00 +Flemington,,OVAL,FL,9/15/1978 16:00 +Covington,,DISK,WA,9/15/1978 18:00 +Hayward,,,WI,9/15/1978 20:00 +Pampa,GREEN,LIGHT,TX,9/15/1978 20:00 +Braceville,,DIAMOND,OH,9/15/1978 21:00 +Shelby,,TRIANGLE,OH,9/15/1978 23:00 +Tampa,,SPHERE,FL,9/20/1978 16:00 +Park Ridge,,RECTANGLE,IL,9/20/1978 20:00 +Chelmsford,,DISK,MA,9/28/1978 18:00 +Windsor,,CONE,NC,10/1/1978 0:00 +Lecompte,,DISK,LA,10/1/1978 20:00 +Francesville,,CYLINDER,IN,10/1/1978 23:15 +Burt,,CIRCLE,MI,10/3/1978 18:00 +Philadelphia,,SPHERE,PA,10/4/1978 19:30 +Hudson,,CIRCLE,NH,10/5/1978 20:00 +Elmont,,RECTANGLE,NY,10/10/1978 2:00 +Brighton,,CIRCLE,MI,10/11/1978 23:00 +Kannapolis,,DISK,NC,10/12/1978 3:30 +Dyersburg,,TRIANGLE,TN,10/12/1978 21:00 +Alpine,,CIRCLE,AZ,10/12/1978 23:00 +Atlanta,,DISK,GA,10/14/1978 7:00 +Greenwich,,CIRCLE,CT,10/15/1978 0:00 +Redondo Beach,,OTHER,CA,10/15/1978 0:00 +Des Plaines,,DISK,IL,10/15/1978 2:30 +Shelby Township,,DISK,MI,10/15/1978 18:00 +Coeur d'Alene,,OVAL,ID,10/15/1978 19:00 +Port St. Joe,,CIRCLE,FL,10/15/1978 19:30 +Cherokee,,LIGHT,NC,10/15/1978 20:00 +"Haena, Kauai",BLUE,LIGHT,HI,10/15/1978 21:00 +Candia,,OVAL,NH,10/15/1978 22:00 +Birmingham,,OVAL,AL,10/18/1978 23:30 +West Seneca,,TRIANGLE,NY,10/20/1978 22:00 +Virginia City,,OTHER,MT,10/25/1978 16:00 +Monroe,,DISK,NC,10/25/1978 21:00 +Culloden,,,WV,11/1/1978 3:00 +Mooresville,,OTHER,IN,11/1/1978 8:00 +June Lake,,DISK,CA,11/1/1978 10:00 +San Angelo,,CHEVRON,TX,11/1/1978 13:00 +Troy,,LIGHT,NY,11/1/1978 20:00 +Lebanon,RED,TRIANGLE,NH,11/5/1978 19:00 +Carlyss,,LIGHT,LA,11/11/1978 13:00 +Las Vegas,,CIGAR,NV,11/15/1978 20:00 +West Tibury,,DISK,MA,11/15/1978 23:00 +Interstate 80,,OTHER,WY,11/17/1978 15:00 +North Branch,,RECTANGLE,MN,11/21/1978 23:45 +Fredericksburg,,LIGHT,TX,11/25/1978 22:00 +Baileyville,,LIGHT,ME,11/27/1978 19:00 +Ukiah,,SPHERE,CA,11/27/1978 19:00 +Ukiah,,SPHERE,CA,11/27/1978 20:00 +Arvana,,DISK,TX,11/28/1978 0:00 +Arvana-Lamesa,,DISK,TX,11/28/1978 18:00 +Mt. Rainier National Park,,,WA,11/29/1978 3:00 +Deer Park,,DISK,WA,11/30/1978 8:00 +Rockland County,,,NY,12/1/1978 1:00 +Edison,,OTHER,NJ,12/1/1978 1:30 +Ringwood,,TRIANGLE,NJ,12/9/1978 19:00 +Mexico,,DISK,PA,12/10/1978 1:00 +Lake Don Pedro,,RECTANGLE,CA,12/15/1978 14:00 +Sisters,,OTHER,OR,12/15/1978 20:00 +Huntington Park,,DISK,CA,12/20/1978 17:00 +Seattle,,DISK,WA,12/20/1978 18:00 +Helmetta,,CIRCLE,NJ,12/20/1978 19:00 +Valdosta,,CHEVRON,GA,12/23/1978 21:30 +Indianapolis,RED,DISK,IN,12/23/1978 22:00 +Hopewell,,DISK,NJ,12/31/1978 0:30 +Hwy 80,,DISK,CA,1/1/1979 2:00 +Orange,,DISK,CA,1/1/1979 17:00 +Redondo Beach,RED,DISK,CA,1/1/1979 20:00 +Norman,,,OK,1/2/1979 3:00 +Key West,,DISK,FL,1/9/1979 14:30 +Los Angeles,,FIREBALL,CA,1/15/1979 17:00 +Clines Corners,,TRIANGLE,NM,1/15/1979 20:00 +Salt Lake City,,TRIANGLE,UT,1/15/1979 20:30 +Houston,,RECTANGLE,TX,1/31/1979 11:00 +Lake Arrowhead,,CIRCLE,CA,2/1/1979 2:30 +Tallmadge,,TRIANGLE,OH,2/5/1979 21:00 +Helena,,DISK,MT,2/10/1979 9:30 +Huntersville,,OVAL,NC,2/10/1979 23:00 +Louden County,,DISK,VA,2/11/1979 14:00 +Alexandria,,LIGHT,VA,2/13/1979 1:00 +Grover Beach,,OTHER,CA,2/15/1979 21:30 +Pismo Beach,,TRIANGLE,CA,2/20/1979 2:00 +Tallmadge,,TRIANGLE,OH,2/25/1979 21:00 +Medford,,,OR,3/1/1979 4:00 +Downey,,CHEVRON,CA,3/1/1979 23:29 +Buies Creek,,DISK,NC,3/10/1979 2:00 +California Hot Springs,,DISK,CA,3/10/1979 20:00 +Lee's Summit,,FLASH,MO,3/11/1979 16:00 +Woodinville,,LIGHT,WA,3/15/1979 19:00 +Baker City,,CIGAR,OR,3/24/1979 22:00 +Big Sur,,TRIANGLE,CA,3/25/1979 20:00 +North Webster,,OTHER,IN,3/25/1979 23:50 +Middletown,,DISK,PA,3/29/1979 5:30 +Between Jackson Fla.,,CIRCLE,GA,3/30/1979 22:00 +Middletown,,OVAL,PA,3/31/1979 6:10 +Salinas,,DISK,CA,4/1/1979 17:00 +Berkeley,,RECTANGLE,CA,4/1/1979 21:00 +Thomasville,RED,TRIANGLE,NC,4/1/1979 22:00 +West Milford,,DISK,NJ,4/2/1979 0:00 +Dallas,BLUE,LIGHT,TX,4/4/1979 6:00 +Portland,,TRIANGLE,OR,4/4/1979 13:00 +East Providence,,CHEVRON,RI,4/12/1979 22:00 +Jupiter,,LIGHT,FL,4/13/1979 2:00 +Jacksonville,,OTHER,TX,4/15/1979 3:00 +Monterey,,RECTANGLE,NY,4/15/1979 8:00 +Kenton,,FORMATION,MI,4/15/1979 10:00 +Lexington,,TRIANGLE,NC,4/15/1979 21:00 +North Brunswick,,CIRCLE,NJ,4/15/1979 22:50 +New Brunswick,,DISK,NJ,4/20/1979 14:00 +Gainesville,,FIREBALL,FL,5/1/1979 21:00 +Marlboro,YELLOW,CIRCLE,NJ,5/5/1979 16:00 +Kerrville,,DIAMOND,TX,5/5/1979 20:30 +Watson,,DISK,LA,5/6/1979 1:00 +Panama City Beach,,LIGHT,FL,5/6/1979 21:00 +Wordens Pond Road,,DISK,RI,5/15/1979 1:00 +Albuquerque,,CIRCLE,NM,5/15/1979 2:00 +Sanderville,,OVAL,MS,5/15/1979 14:30 +Omaha,,TRIANGLE,NE,5/15/1979 20:00 +San Antonio,,OTHER,TX,5/15/1979 20:30 +Bradford,,CIRCLE,PA,5/18/1979 10:00 +Brady,,,TX,5/21/1979 21:00 +Baltic,,TRIANGLE,SD,5/22/1979 21:00 +Daytona,,DISK,FL,5/26/1979 17:30 +Minot,,RECTANGLE,ND,6/1/1979 0:00 +Tatum,,LIGHT,TX,6/1/1979 5:00 +Cleveland,,CROSS,OH,6/1/1979 16:00 +Laredo,,CIRCLE,TX,6/1/1979 16:00 +Alameda,,DISK,CA,6/1/1979 18:00 +Morrice,,DISK,MI,6/1/1979 18:45 +Ithaca,,CIGAR,NY,6/1/1979 19:00 +Margate,,OVAL,FL,6/1/1979 20:00 +Mesa,,OTHER,AZ,6/1/1979 20:30 +Fredericksburg,,OTHER,VA,6/1/1979 21:00 +Griffin,,DISK,GA,6/1/1979 21:00 +Knoxville,,LIGHT,TN,6/1/1979 21:00 +Victory Heights,,LIGHT,PA,6/1/1979 21:00 +Whitman,,SPHERE,MA,6/1/1979 21:00 +Wilsonville,,CIRCLE,IL,6/1/1979 21:15 +Castro Valley,,RECTANGLE,CA,6/1/1979 22:00 +Court House Bay,,LIGHT,NC,6/1/1979 22:00 +Farmington,,RECTANGLE,NY,6/1/1979 22:00 +Hollister,,EGG,CA,6/1/1979 22:00 +Whidbey Island,,CIRCLE,WA,6/1/1979 22:00 +Marion,,TRIANGLE,IN,6/1/1979 23:00 +Attica,,DISK,MI,6/1/1979 23:40 +Paterson,,OTHER,NJ,6/5/1979 18:30 +Green Township,,OTHER,PA,6/8/1979 0:00 +Huntington,,,NY,6/10/1979 19:00 +Sagamore Hills,,,OH,6/15/1979 3:00 +Los Angeles,,,CA,6/15/1979 4:30 +Dorchester,YELLOW,OTHER,IA,6/15/1979 14:00 +Baton Rouge,,DISK,LA,6/15/1979 15:00 +Woodland,,,WA,6/15/1979 15:00 +Fort Worth,,TEARDROP,TX,6/15/1979 17:00 +Manteca,BLUE,DISK,CA,6/15/1979 19:00 +Oquawka,,RECTANGLE,IL,6/15/1979 19:00 +Baton Rouge,,DISK,LA,6/15/1979 19:30 +San Jose,,DISK,CA,6/15/1979 20:00 +Huntsville,RED YELLOW,OVAL,TN,6/15/1979 21:00 +Jonesboro,,,AR,6/15/1979 23:00 +Napa,,TRIANGLE,CA,6/16/1979 23:30 +Terre Haute,,VARIOUS,IN,6/20/1979 13:00 +Orlando,,CIRCLE,FL,6/20/1979 18:00 +Valley Cottage,,DISK,NY,6/20/1979 20:00 +Bohemia,,LIGHT,NY,6/20/1979 23:30 +Las Vegas,BLUE,,NV,6/23/1979 0:00 +Two Rivers,,CIGAR,WI,6/26/1979 0:00 +St. Paul,YELLOW,LIGHT,MN,6/29/1979 22:45 +Leola,GREEN,LIGHT,PA,6/30/1979 1:00 +Richmond,,FORMATION,ME,6/30/1979 20:00 +Columbia City,,TRIANGLE,IN,6/30/1979 21:00 +Ramona,GREEN,LIGHT,CA,6/30/1979 21:00 +Wilsonville,,CIRCLE,IL,6/30/1979 21:00 +Janesville,,FIREBALL,IL,6/30/1979 23:00 +Sunnyvale,GREEN,,CA,6/30/1979 23:30 +Florence,,DISK,MS,7/1/1979 0:00 +Maxwelton Beach,,CIRCLE,WA,7/1/1979 0:00 +Chico,,OTHER,CA,7/1/1979 1:00 +Chico,,RECTANGLE,CA,7/1/1979 3:00 +East Orange,,DISK,NJ,7/1/1979 10:00 +Desert Center,,LIGHT,CA,7/1/1979 18:00 +Whitman,,DISK,MA,7/1/1979 19:00 +Whitman,,DISK,MA,7/1/1979 19:00 +Houghton Lake,,LIGHT,MI,7/1/1979 23:00 +Syracuse,,LIGHT,NY,7/4/1979 23:00 +Tampa,,DISK,FL,7/5/1979 2:30 +Pichacho Peak,,OTHER,AZ,7/6/1979 10:00 +Pasadena,,FORMATION,MD,7/10/1979 19:00 +Kansas City,RED,CYLINDER,MO,7/11/1979 2:00 +Santa Clarita,,DISK,CA,7/13/1979 22:00 +Honeoye Falls,,CIGAR,NY,7/14/1979 8:00 +Arcadia,,CIGAR,WI,7/15/1979 1:30 +Cumberland,,OTHER,KY,7/15/1979 1:30 +Clackamas,,LIGHT,OR,7/15/1979 7:30 +Hattiesburg,,,MS,7/15/1979 12:00 +Fairmount,,CIGAR,IN,7/15/1979 14:00 +Lansing,,OTHER,MI,7/15/1979 14:00 +Yorktown,,CIGAR,IN,7/15/1979 14:00 +Apple Valley,,SPHERE,CA,7/15/1979 14:30 +La Habra,,TRIANGLE,CA,7/15/1979 19:00 +Louisville,,DISK,KY,7/15/1979 21:30 +Rancho Palos Verdes,,CHEVRON,CA,7/15/1979 21:30 +Ranger,,TRIANGLE,WV,7/15/1979 21:30 +Yakima,,OTHER,WA,7/15/1979 22:30 +N. Cascades Nat. Park,GREEN,LIGHT,WA,7/15/1979 23:00 +Arnheim,,TRIANGLE,MI,7/16/1979 12:00 +Niagara Falls,,LIGHT,NY,7/18/1979 21:00 +Saginaw,,,MI,7/25/1979 15:00 +Hayti,,TRIANGLE,MO,7/28/1979 22:30 +Ocala,,VARIOUS,FL,7/29/1979 2:00 +Boone,,CYLINDER,NC,7/30/1979 22:00 +Fort Valley,,SPHERE,GA,8/1/1979 0:00 +Twenty Nine Palms,,,CA,8/1/1979 0:00 +North Miami Beach,,OTHER,FL,8/1/1979 19:00 +Little Falls,,FIREBALL,NY,8/1/1979 21:00 +Omaha,,TRIANGLE,NE,8/1/1979 22:00 +Springfield,,RECTANGLE,MA,8/1/1979 22:00 +Tinley Park,,LIGHT,IL,8/10/1979 21:00 +New Londons,,TRIANGLE,WI,8/10/1979 21:45 +Lee Vining,,DISK,CA,8/14/1979 1:30 +La Habra,ORANGE GREEN,OVAL,CA,8/15/1979 0:00 +Mammoth Lakes,,CIRCLE,CA,8/15/1979 1:00 +Bistolville,,TRIANGLE,OH,8/15/1979 1:30 +Campbellsville,,OVAL,KY,8/15/1979 17:00 +West New York,,DISK,NJ,8/15/1979 18:00 +Wenatchee,,TRIANGLE,WA,8/15/1979 22:00 +Beach Haven Terrace,,FIREBALL,NJ,8/15/1979 22:10 +Gaithersburg,,CIRCLE,MD,8/15/1979 23:00 +Phoenix,,SPHERE,AZ,8/17/1979 20:30 +Painesville,,TRIANGLE,OH,8/17/1979 21:37 +Clay City,,SPHERE,KY,8/19/1979 22:50 +Dekalb,RED,FIREBALL,IL,8/20/1979 19:00 +Phoenix,,DISK,AZ,8/20/1979 21:00 +Lake Wateree,,LIGHT,SC,8/22/1979 21:00 +Cass City,,DISK,MI,8/25/1979 12:36 +North Platte,BLUE,OTHER,NE,8/25/1979 22:00 +Stone Mountain,,TRIANGLE,GA,8/25/1979 22:00 +Chicago,,VARIOUS,IL,8/28/1979 2:45 +Rockford,,DISK,IL,9/1/1979 0:05 +Crowley,,,LA,9/1/1979 2:00 +New York City,,DISK,NY,9/1/1979 19:30 +Commack,,OTHER,NY,9/1/1979 20:00 +Farmville,,DISK,VA,9/1/1979 20:00 +Greenville,,TRIANGLE,PA,9/1/1979 20:00 +Kenna,,CIRCLE,WV,9/1/1979 20:00 +Spotsylvania,,OTHER,VA,9/1/1979 20:00 +Carrollton,,SPHERE,MO,9/1/1979 21:30 +Rockford,,FORMATION,IL,9/1/1979 22:00 +Sickles,,TRIANGLE,OK,9/1/1979 22:00 +Lake Conroe,,CIRCLE,TX,9/1/1979 23:59 +Mount Wilson Observatory,,SPHERE,CA,9/9/1979 22:00 +Honolulu,BLUE,SPHERE,IL,9/12/1979 4:00 +East New York,,DISK,NJ,9/15/1979 17:00 +Bryan,RED BLUE,OVAL,TX,9/15/1979 18:00 +Mobile,,RECTANGLE,AL,9/17/1979 18:15 +Fayetteville,,CYLINDER,NC,9/17/1979 20:10 +Baltimore,,LIGHT,MD,9/19/1979 22:45 +Cape Elizabeth,,LIGHT,ME,9/21/1979 1:00 +Cottage Grove,,CIRCLE,MN,9/25/1979 20:30 +Monsey,,DISK,NY,9/26/1979 17:00 +New Brighton,,DISK,MN,9/29/1979 10:00 +Haltom Ciy,,TRIANGLE,TX,9/29/1979 17:00 +Sanford,,CIGAR,NC,9/30/1979 18:00 +Ballentine,,OVAL,SC,9/30/1979 19:00 +Joliet,,EGG,IL,9/30/1979 21:03 +Lomita,,DISK,CA,10/1/1979 16:00 +Columbia,,RECTANGLE,MD,10/1/1979 19:00 +Buffalo,,LIGHT,NY,10/1/1979 21:00 +Olympia,,DISK,WA,10/1/1979 21:00 +Pittsburgh,,DISK,PA,10/1/1979 21:00 +Cranbury,,LIGHT,NJ,10/1/1979 23:00 +Poughkeepsie,ORANGE,CHEVRON,NY,10/10/1979 0:00 +San Diego,,OVAL,CA,10/10/1979 22:00 +Security,,,CO,10/10/1979 22:00 +Barnegat,,RECTANGLE,NJ,10/12/1979 0:45 +Ellwood City,,,PA,10/15/1979 16:30 +Bemidji,,,MN,10/15/1979 19:35 +Gig Harbor,,CIRCLE,WA,10/15/1979 21:00 +Arcadia,,DISK,LA,10/24/1979 17:00 +Wausau,,FORMATION,WI,11/1/1979 13:30 +Meriden,,LIGHT,CT,11/1/1979 16:30 +Haltom City,,TRIANGLE,TX,11/1/1979 21:00 +Emerson,BLUE,RECTANGLE,NJ,11/10/1979 1:00 +Ypsilanti,,OTHER,MI,11/10/1979 21:00 +Wickenburg,,,AZ,11/11/1979 19:30 +Wickenburg,GREEN,LIGHT,AZ,11/11/1979 19:30 +Fort Lauderdale,,CIGAR,FL,11/12/1979 22:00 +Hatcreek Campground,,RECTANGLE,CA,11/14/1979 22:00 +Honolulu,BLUE,SPHERE,HI,11/15/1979 4:00 +Austin,,TRIANGLE,TX,11/15/1979 21:00 +Wassaic,,CIRCLE,NY,11/15/1979 22:30 +Detroit,,LIGHT,MI,11/20/1979 7:10 +Clarksburg,,DISK,WV,11/22/1979 23:00 +Ft. Jackson,,,SC,11/30/1979 1:00 +Water Valley,,CIGAR,MS,12/1/1979 1:00 +Arkansas,,FIREBALL,AR,12/5/1979 22:00 +Albuquerque,,CIRCLE,NM,12/8/1979 20:30 +Morris,,LIGHT,IL,12/15/1979 19:00 +Houlton,,TRIANGLE,ME,12/20/1979 22:00 +Waterloo,,,IA,12/29/1979 2:00 +Kansas City,BLUE,CIRCLE,MO,12/31/1979 22:35 +Spartanburg,,CIRCLE,SC,12/31/1979 23:00 +Indianapolis,GREEN,LIGHT,IN,1/1/1980 1:00 +Omaha,,OTHER,NE,1/1/1980 2:00 +Chicopee,,DIAMOND,MA,1/1/1980 23:30 +Oklahoma City,,OTHER,OK,1/7/1980 13:00 +Exeter,ORANGE YELLOW,DISK,NH,1/10/1980 0:00 +Wichita,RED,CIGAR,KS,1/11/1980 23:00 +Orinda,,SPHERE,CA,1/12/1980 23:00 +Albany,,DISK,IL,1/15/1980 22:00 +Pittsburgh,,OVAL,PA,1/15/1980 22:00 +Los Angeles,,DIAMOND,CA,1/21/1980 14:30 +Murphy,,SPHERE,CA,1/22/1980 2:00 +Virginia Beach,,CYLINDER,VA,1/23/1980 22:30 +Georgetown,,TRIANGLE,DE,2/2/1980 20:30 +Hollister,,EGG,CA,2/15/1980 22:00 +Canton,,LIGHT,NY,2/17/1980 19:10 +Bend,,OVAL,OR,2/18/1980 18:30 +Oxford,,CIGAR,CT,3/1/1980 0:30 +Bisbee,,OTHER,AZ,3/1/1980 18:00 +San Francisco,BLUE,LIGHT,CA,3/1/1980 18:30 +Patterson,,DISK,NJ,3/1/1980 21:00 +Homestead,,CIRCLE,FL,3/14/1980 20:00 +Wayland,YELLOW,LIGHT,MA,3/15/1980 1:00 +Concord,GREEN,OTHER,NH,3/15/1980 2:00 +Manassas,,DISK,VA,3/15/1980 16:30 +Morning Sun,,DISK,IA,3/20/1980 0:00 +Not Sure,,OTHER,NH,3/20/1980 2:00 +Paterson,,DISK,NJ,3/20/1980 20:00 +Westminster,RED,DISK,CO,3/24/1980 14:00 +Canoga Park,,DISK,CA,3/31/1980 19:15 +Costa Mesa,,VARIOUS,CA,4/1/1980 16:00 +Seattle,,TRIANGLE,WA,4/5/1980 0:00 +Alameda,,FIREBALL,CA,4/10/1980 19:50 +Middletown,RED,SPHERE,OH,4/18/1980 23:59 +Dayton,,CIGAR,OH,4/20/1980 14:00 +Pittsburg,,OVAL,CA,5/1/1980 0:00 +Seattle,,DISK,WA,5/1/1980 7:00 +Salt Lake City,,CYLINDER,UT,5/1/1980 12:00 +Los Angeles,,LIGHT,CA,5/5/1980 4:00 +Livermore,,DISK,CA,5/5/1980 18:00 +Gladstone,,LIGHT,MI,5/10/1980 10:30 +Gladstone,,LIGHT,MI,5/10/1980 10:30 +Milford,,OTHER,CT,5/10/1980 13:00 +Wilton,GREEN,LIGHT,CA,5/10/1980 20:00 +Raytown,,DISK,MO,5/12/1980 20:30 +Greenfield,,LIGHT,IN,5/12/1980 21:00 +Hat Creek,,RECTANGLE,CA,5/15/1980 1:00 +Eureka,,CIGAR,CA,5/15/1980 16:00 +Yonkers,,TRIANGLE,NY,5/15/1980 17:40 +Oklahoma City,,VARIOUS,OK,5/15/1980 20:00 +Oklahoma City,,VARIOUS,OK,5/15/1980 20:00 +St. Cloud,,OTHER,MN,5/15/1980 22:00 +Salt Lake City,,SPHERE,UT,5/20/1980 12:30 +Denver,RED,OVAL,CA,5/20/1980 13:00 +Little Rock,,,AR,5/22/1980 2:00 +Dekalb,,CIRCLE,IL,5/25/1980 23:00 +Alma,,,KS,6/1/1980 0:00 +Overton,,OTHER,TX,6/1/1980 0:00 +Rochester,,OTHER,WA,6/1/1980 0:00 +Parkersburg,,CIRCLE,WV,6/1/1980 5:00 +Oldtown,,SPHERE,ME,6/1/1980 9:00 +Victorville,,LIGHT,CA,6/1/1980 11:00 +Baadon,,VARIOUS,MI,6/1/1980 12:00 +Temple Terrace,,DISK,FL,6/1/1980 13:00 +Evansville,,CIRCLE,IN,6/1/1980 14:00 +Montgomery,,DISK,AL,6/1/1980 16:00 +Ethell,,OTHER,WA,6/1/1980 17:00 +Andover,,DISK,MN,6/1/1980 18:00 +Homedale,,FIREBALL,ID,6/1/1980 18:00 +Auxvasse,,DISK,MO,6/1/1980 19:00 +Hamburg,,SPHERE,NY,6/1/1980 19:00 +Bethel,,OTHER,CT,6/1/1980 20:00 +Greeneville,,TRIANGLE,TN,6/1/1980 20:00 +Ladue,,TRIANGLE,MO,6/1/1980 20:00 +Oroville,,SPHERE,CA,6/1/1980 20:00 +Port Wentworth,,CIGAR,GA,6/1/1980 20:30 +Birmingham,,TRIANGLE,AL,6/1/1980 21:00 +Gray,,OTHER,GA,6/1/1980 21:00 +Newport,,,AR,6/1/1980 21:00 +Houston,,OTHER,TX,6/1/1980 21:30 +Marlow Heights,,LIGHT,MD,6/1/1980 22:00 +Morganton,,LIGHT,NC,6/1/1980 22:00 +Willard,,,OH,6/1/1980 22:00 +Algonquin,,DISK,IL,6/1/1980 23:00 +Warminster,,DISK,PA,6/1/1980 23:00 +Lake Forest,,TRIANGLE,IL,6/3/1980 15:00 +Darien,,,IL,6/5/1980 1:00 +Tucson,,DIAMOND,AZ,6/8/1980 16:00 +Seattle,,DISK,WA,6/10/1980 5:30 +Seiling,,CIRCLE,OK,6/10/1980 21:00 +Middle Valley,YELLOW,TRIANGLE,TN,6/12/1980 1:00 +Barnsdall,,OTHER,OK,6/15/1980 0:00 +Yacolt,,DISK,WA,6/15/1980 10:00 +Wapello,,CIRCLE,IA,6/15/1980 10:30 +Mentor,,DISK,OH,6/15/1980 18:00 +Columbia,,LIGHT,MO,6/15/1980 20:00 +Point Mugu,,LIGHT,CA,6/15/1980 21:00 +Sterling,,DISK,VA,6/15/1980 21:00 +Nashville,,TRIANGLE,TN,6/15/1980 21:42 +San Francisco,,DISK,CA,6/15/1980 21:45 +El Paso,,LIGHT,TX,6/15/1980 22:00 +Waterford,,OTHER,MI,6/15/1980 23:00 +Bridgeton,,CIRCLE,NJ,6/20/1980 20:00 +Philadelphia,,SPHERE,PA,6/23/1980 20:00 +Mount Weather,,,VA,6/24/1980 14:00 +Cave Junction,,,OR,6/25/1980 10:00 +Parma,,,ID,6/26/1980 19:00 +Clinton,,RECTANGLE,MO,6/30/1980 0:00 +Phoenix,,,AZ,6/30/1980 0:00 +North Lauderdale,,OTHER,FL,6/30/1980 4:00 +Hollister,,DISK,CA,6/30/1980 9:00 +South Lake Tahoe,,LIGHT,CA,6/30/1980 19:00 +Tampa,,CIRCLE,FL,6/30/1980 21:30 +Athens,,LIGHT,TX,6/30/1980 22:00 +Grand Rivers,BLUE,FLASH,KY,6/30/1980 23:00 +Del Mar,BLUE,,CA,7/1/1980 0:00 +Parm,RED,SPHERE,OH,7/1/1980 0:00 +Caldwell,,TRIANGLE,WI,7/1/1980 1:00 +Tracy,,TRIANGLE,CA,7/1/1980 2:00 +Black Earth,ORANGE,OVAL,WI,7/1/1980 21:00 +Plainfield,,CIRCLE,CT,7/1/1980 21:30 +Rapid City,GREEN,TRIANGLE,MI,7/4/1980 21:00 +St. Paul,,OVAL,MN,7/4/1980 22:00 +Forest Park,,DISK,GA,7/6/1980 21:00 +Hudson,,,MA,7/7/1980 8:30 +Louisville,,CIGAR,KY,7/8/1980 2:00 +Louisville,,CIGAR,KY,7/8/1980 4:00 +Town of Preble,,LIGHT,NY,7/10/1980 15:00 +Norwalk,,OVAL,CT,7/10/1980 21:00 +Knife River,,,MN,7/10/1980 22:00 +Ridgefield,,SPHERE,WA,7/10/1980 23:00 +San Andreas,,,CA,7/11/1980 11:00 +Hardwick,,CYLINDER,VT,7/13/1980 0:00 +Hamburg,,TRIANGLE,NY,7/14/1980 23:00 +Moline,,DISK,IL,7/15/1980 2:00 +Miami,,TRIANGLE,FL,7/15/1980 6:00 +Buffalo,,OVAL,NY,7/15/1980 8:30 +Conroe,,LIGHT,TX,7/15/1980 21:00 +Valencia,,DISK,CA,7/15/1980 21:00 +Fort Mill,RED,LIGHT,SC,7/15/1980 22:00 +Omaha,,OVAL,NE,7/15/1980 22:00 +Salt Lake City,,LIGHT,UT,7/15/1980 23:00 +Fleetville,,DISK,PA,7/16/1980 10:00 +Seattle,,CYLINDER,WA,7/16/1980 13:40 +North Platte,,FORMATION,NE,7/17/1980 22:10 +Benton Harbor,,CIGAR,MI,7/20/1980 1:00 +no data,,TRIANGLE,FL,7/20/1980 13:00 +Cleveland,RED YELLOW,OVAL,OH,7/20/1980 21:00 +Exeter,,CIGAR,CA,7/21/1980 14:00 +Exeter,,CIGAR,CA,7/21/1980 22:00 +Pecos,,TRIANGLE,NM,7/22/1980 23:00 +Gresham,,SPHERE,OR,7/29/1980 23:15 +Henrietta,,OTHER,NY,7/30/1980 20:30 +Clinton,,OVAL,ME,7/30/1980 22:00 +San Antonio,,DISK,TX,8/1/1980 8:00 +Kendall,,CIGAR,FL,8/1/1980 20:00 +Barrington,,TRIANGLE,IL,8/1/1980 23:00 +Bremham,,CHEVRON,TX,8/1/1980 23:30 +Maricopa,,OTHER,AZ,8/5/1980 21:00 +Glennallen,,RECTANGLE,AK,8/5/1980 23:15 +Tillamook,,RECTANGLE,OR,8/7/1980 1:00 +Tullahoma,,LIGHT,TN,8/8/1980 20:00 +Taunton,,DISK,MA,8/12/1980 17:45 +Honolulu,,RECTANGLE,HI,8/12/1980 19:00 +Bandon,,DISK,OR,8/12/1980 22:00 +Arthur,,LIGHT,NE,8/15/1980 17:30 +Bend,,,OR,8/15/1980 20:00 +Bricktown,,FORMATION,NJ,8/15/1980 20:00 +Apollo,,SPHERE,PA,8/15/1980 20:30 +Glenndale,,CIRCLE,MD,8/15/1980 23:00 +Detroit,,DISK,MI,8/15/1980 23:30 +Pine Springs,,LIGHT,TX,8/16/1980 23:30 +Clarksfield,,CIGAR,OH,8/18/1980 21:30 +Edwards,,CHEVRON,NY,8/20/1980 1:00 +Gifford Pinchot National Forrest,,DISK,WA,8/20/1980 21:00 +Kent,,TEARDROP,WA,8/22/1980 18:00 +Rush City,,,MN,8/30/1980 16:00 +Maquoketa,,,IA,8/30/1980 20:00 +Concordia,,SPHERE,MO,9/1/1980 17:00 +Hansville,,DISK,WA,9/1/1980 20:15 +Kansas City,,SPHERE,MO,9/3/1980 21:25 +Orlando,,RECTANGLE,FL,9/4/1980 17:30 +Morgan Hill,,DISK,CA,9/5/1980 17:00 +Brewerton,,VARIOUS,NY,9/8/1980 6:00 +Brick,,VARIOUS,NJ,9/9/1980 20:30 +Atlantic Ocean,RED,LIGHT,NC,9/12/1980 21:00 +Maynardville,,LIGHT,TN,9/15/1980 0:30 +Royal Oak,RED,DISK,MI,9/15/1980 1:30 +Fort Wayne,,CYLINDER,IN,9/15/1980 21:00 +Southwest Harbor,,LIGHT,ME,9/15/1980 21:00 +Black Creek Community,ORANGE,OVAL,GA,9/15/1980 22:00 +Dam B Lake,,LIGHT,TX,9/15/1980 22:00 +Elko,,LIGHT,NV,9/15/1980 22:00 +Tekamah,,,NE,9/15/1980 22:00 +Bridgeport,,TRIANGLE,CT,9/15/1980 23:00 +Clinton Township,,OVAL,MI,9/16/1980 23:00 +Louisville,,CIRCLE,KY,9/20/1980 20:30 +Samsonville,,DISK,NY,9/20/1980 22:00 +Savannah,,TRIANGLE,GA,9/24/1980 23:59 +St. Paul,,LIGHT,MN,9/27/1980 21:00 +Fremont,,OTHER,CA,10/1/1980 1:30 +Mountainboro,,FIREBALL,AL,10/1/1980 20:00 +Shirleysburg,,FORMATION,PA,10/1/1980 21:00 +Jersey City,,CIGAR,NJ,10/1/1980 22:00 +Homer,,DISK,LA,10/1/1980 23:00 +Irvine,,SPHERE,CA,10/2/1980 21:30 +Richardson,,DIAMOND,TX,10/3/1980 18:00 +Allenspark,,LIGHT,CO,10/5/1980 21:00 +Wind Lake,,DISK,WI,10/9/1980 6:45 +Houston,,SPHERE,TX,10/10/1980 19:00 +Dallas,,,TX,10/10/1980 22:00 +Manchester,RED,LIGHT,NH,10/10/1980 23:30 +Boonville,ORANGE,SPHERE,CA,10/15/1980 0:00 +Columbus,,FIREBALL,OH,10/15/1980 2:30 +Guntersville,,TRIANGLE,AL,10/15/1980 3:00 +Sandy,,SPHERE,UT,10/15/1980 14:00 +Avon,,DISK,CT,10/15/1980 19:00 +Denham Springs,,RECTANGLE,LA,10/15/1980 19:00 +National Forest,GREEN,CYLINDER,CO,10/15/1980 19:00 +Boonville,,SPHERE,CA,10/15/1980 20:00 +Jonesport,,OVAL,ME,10/15/1980 23:00 +Bald Knob,,TRIANGLE,AR,10/19/1980 1:00 +Corpus Christi,,DISK,TX,10/20/1980 18:00 +Dallas,RED,TRIANGLE,TX,10/20/1980 19:00 +Detroit,,RECTANGLE,MI,10/29/1980 20:00 +Virginia Beach,,OTHER,VA,10/31/1980 5:25 +Rochester,,OVAL,IN,11/1/1980 0:00 +Garland,,LIGHT,TX,11/5/1980 22:00 +Lansing,,RECTANGLE,MI,11/10/1980 20:00 +Lampasas,,LIGHT,TX,11/15/1980 22:00 +Clarksburg,,OVAL,WV,11/21/1980 0:00 +Alloy,,DISK,WV,11/22/1980 11:00 +Roswell,,,NM,12/1/1980 0:01 +Franklin,,RECTANGLE,TN,12/1/1980 21:00 +Newport News,,DISK,VA,12/1/1980 21:00 +Winfield,,LIGHT,KS,12/1/1980 22:00 +Artesia,,DISK,CA,12/8/1980 19:30 +Santa Monica,,DISK,CA,12/9/1980 0:00 +Newport News,,OTHER,VA,12/10/1980 0:00 +Weyerhaeuser,,DISK,WI,12/10/1980 21:00 +Bellingham,,FIREBALL,WA,12/12/1980 20:40 +Decatur,,,IL,12/20/1980 19:00 +Hanover,,LIGHT,MD,12/27/1980 11:00 +Savannah,,SPHERE,GA,12/28/1980 19:00 +Chicopee,GREEN,DIAMOND,MA,12/30/1980 23:30 +El Cajon,,SPHERE,CA,1/1/1981 0:01 +El Reno,,DISK,OK,1/1/1981 1:00 +Glendora,,,CA,1/10/1981 20:30 +West Jefferson,,TRIANGLE,OH,1/12/1981 22:00 +Davenport,,CIGAR,IA,1/15/1981 1:15 +Colorado Springs,,TRIANGLE,CO,1/15/1981 10:00 +Long Beach,RED,TRIANGLE,CA,1/15/1981 20:00 +Oroville,,DIAMOND,CA,1/17/1981 21:00 +Wilmont,RED,LIGHT,MN,1/19/1981 21:30 +Chula Vista,,OTHER,CA,1/21/1981 17:00 +Flagstaff,,CIGAR,AZ,2/12/1981 12:23 +Flint,,,MI,2/20/1981 14:00 +Cameron,,LIGHT,NC,2/23/1981 21:00 +Azusa,,LIGHT,CA,2/27/1981 10:00 +McKinleyville,,OTHER,CA,3/1/1981 17:45 +Campbell,,CIGAR,CA,3/1/1981 22:00 +Needles,,DISK,CA,3/15/1981 0:00 +Pompano Beach,,TRIANGLE,FL,3/25/1981 19:30 +Sarasota,,CYLINDER,FL,3/25/1981 20:00 +Arenzville,,OTHER,IL,4/1/1981 21:00 +Tomberlin,,VARIOUS,AR,4/12/1981 3:00 +Milwaukie,GREEN BLUE,DISK,OR,4/14/1981 0:00 +Mohave Desert,,OTHER,CA,4/14/1981 17:00 +Burbank,,SPHERE,CA,4/15/1981 15:00 +Long Beach,,FORMATION,CA,4/18/1981 17:00 +Citrus Heights,,CIRCLE,CA,4/22/1981 15:00 +Rochester,RED GREEN BLUE,,NH,4/23/1981 21:20 +Bridgewater,,TRIANGLE,MA,4/25/1981 20:00 +Petaluma,RED ORANGE,RECTANGLE,CA,4/28/1981 23:30 +no data,,DIAMOND,LA,4/30/1981 23:00 +Boulder,,FIREBALL,CO,5/1/1981 18:30 +San Diego,,TRIANGLE,CA,5/1/1981 20:00 +Scottsdale,ORANGE,FIREBALL,AZ,5/9/1981 0:00 +Wayne,,OVAL,NJ,5/10/1981 21:00 +Twenty Nine Palms,,LIGHT,CA,5/15/1981 2:00 +Grass Valley,,CIGAR,CA,5/15/1981 16:00 +Durham,,SPHERE,NC,5/20/1981 22:00 +Humboldt,,DISK,TN,5/20/1981 23:00 +Sierra Vista,,CHEVRON,AZ,5/25/1981 20:30 +Camden,,DISK,AR,6/1/1981 0:00 +The Dalles,,FIREBALL,OR,6/1/1981 17:00 +Lake Morena,,CIGAR,CA,6/1/1981 19:00 +South Saint Paul,,CHEVRON,MN,6/1/1981 19:00 +Detroit,,CIRCLE,MI,6/1/1981 20:00 +Kittanning,,DISK,PA,6/1/1981 20:00 +Mesa,,OTHER,AZ,6/1/1981 20:00 +New Bedford,,DISK,MA,6/1/1981 20:00 +Portland,,TRIANGLE,OR,6/1/1981 21:00 +South St. Paul,,CHEVRON,MN,6/1/1981 22:00 +Reno,,LIGHT,NV,6/1/1981 22:30 +Wedgefield,,DISK,SC,6/5/1981 10:00 +Myrtle Beach,,LIGHT,SC,6/5/1981 21:00 +Columbus,,OTHER,NE,6/6/1981 23:59 +Vandergrift,,DISK,PA,6/8/1981 20:00 +Camp Pendelton,,,CA,6/10/1981 14:00 +Fremont,,DIAMOND,CA,6/10/1981 22:00 +Hollywood,,OVAL,FL,6/10/1981 23:00 +Providence,,DIAMOND,RI,6/11/1981 18:00 +North Bend,,OVAL,OR,6/13/1981 19:30 +Kulpmount,,TRIANGLE,PA,6/13/1981 22:00 +none,,CIRCLE,NV,6/15/1981 0:00 +Point Barrow,,CYLINDER,AK,6/15/1981 0:00 +Morrow,RED,LIGHT,OH,6/15/1981 0:30 +Huntsville,,,OH,6/15/1981 1:00 +Baldwin,,CIRCLE,WI,6/15/1981 16:00 +Crawford,,FIREBALL,CO,6/15/1981 20:00 +Wellston,,TRIANGLE,OH,6/15/1981 20:00 +Red Bluff,,,CA,6/15/1981 21:00 +Aberdeen,,CYLINDER,WA,6/15/1981 22:00 +Hendersonville,,,TN,6/15/1981 22:00 +Las Vegas,,,NV,6/15/1981 22:30 +Seattle,,RECTANGLE,WA,6/15/1981 22:30 +Elizaville,,OTHER,KY,6/15/1981 23:30 +Kenner,,CIRCLE,LA,6/17/1981 13:00 +Mondel,,,NM,6/18/1981 3:00 +Whitney,,FORMATION,TX,6/20/1981 2:30 +Olympia,ORANGE,SPHERE,WA,6/20/1981 23:00 +Huntsville,RED,CIRCLE,AL,6/30/1981 0:00 +Webster,,OTHER,MA,6/30/1981 0:00 +Manchester,,SPHERE,CT,6/30/1981 12:00 +Whitney,,FORMATION,TX,6/30/1981 15:30 +Raynham,,DISK,MA,6/30/1981 17:00 +Sharon Springs,,CIRCLE,NY,6/30/1981 19:00 +Grand Rivers,,,KY,6/30/1981 21:00 +Lebanon,,TRIANGLE,MO,6/30/1981 21:00 +Paragon,,SPHERE,IN,6/30/1981 21:00 +Watsonville,,,CA,7/1/1981 21:30 +Indian Springs,,LIGHT,NV,7/1/1981 22:00 +Dillonvale,,LIGHT,OH,7/3/1981 22:30 +Brighton,,LIGHT,IL,7/5/1981 1:00 +Ellwood city,,SPHERE,PA,7/6/1981 13:30 +Edwards AFB,,DIAMOND,CA,7/7/1981 21:30 +Christiansburg,,LIGHT,VA,7/8/1981 20:00 +Lisbon Falls,BLUE,FIREBALL,ME,7/8/1981 20:00 +Cape Cod,,LIGHT,MA,7/10/1981 22:00 +Connorsville,,LIGHT,WI,7/10/1981 23:30 +Tabernacle,,RECTANGLE,NJ,7/11/1981 21:45 +Stony Brook University,,DISK,NY,7/15/1981 2:30 +Fayetteville,,OTHER,AR,7/15/1981 19:00 +Mayfield,,CIGAR,NY,7/18/1981 22:00 +Berkeley,,DIAMOND,MO,7/22/1981 13:00 +Foresthill,,CIGAR,CA,7/28/1981 23:59 +Vinton,,TRIANGLE,IA,7/29/1981 18:00 +Hobbs,,CONE,NM,7/30/1981 19:30 +Carnation,,DISK,WA,7/30/1981 23:00 +Coloma,YELLOW,SPHERE,CA,8/1/1981 2:00 +Austin,,FORMATION,TX,8/1/1981 3:00 +Carnes,,TRIANGLE,MS,8/1/1981 20:00 +Stockton,,RECTANGLE,CA,8/1/1981 20:00 +Estes Park,,,CO,8/1/1981 22:00 +Murphysboro,,CIRCLE,IL,8/1/1981 22:00 +Ruston,,OVAL,LA,8/8/1981 12:00 +Salinas,,DISK,CA,8/10/1981 19:00 +Murray,,,UT,8/11/1981 18:49 +Gurnee,,,IL,8/15/1981 1:00 +Jensen,,CYLINDER,UT,8/15/1981 7:00 +Sultan,,,WA,8/15/1981 10:40 +Jacksonville,,SPHERE,FL,8/15/1981 19:00 +Vichy,,,MO,8/15/1981 21:00 +Huntington Beach,,TRIANGLE,CA,8/15/1981 22:00 +Cambridge,,,OH,8/15/1981 23:00 +Jacksonville Beach,,VARIOUS,FL,8/15/1981 23:00 +Saratoga,RED,OVAL,NY,8/23/1981 3:30 +Los Angeles,,CIGAR,CA,8/28/1981 4:30 +Sadieville,,LIGHT,KY,8/30/1981 21:00 +Trona,,DISK,CA,8/31/1981 19:30 +Jacksonveil,GREEN,SPHERE,NC,9/1/1981 0:00 +Diamond,,LIGHT,MO,9/1/1981 16:50 +Fairburn,,DISK,GA,9/1/1981 19:00 +Port Jervis,RED,TRIANGLE,NY,9/1/1981 20:00 +Raynham,,DISK,MA,9/4/1981 17:00 +Solomon,,OTHER,KS,9/7/1981 3:00 +Henderson,,RECTANGLE,NC,9/10/1981 23:00 +Lilburn,,DISK,GA,9/14/1981 20:30 +Georgetown,,TRIANGLE,SC,9/15/1981 6:30 +Bryan,,OTHER,TX,9/15/1981 10:30 +Ft. Hauchuca,,CIGAR,AZ,9/15/1981 12:30 +Trenton,,RECTANGLE,MO,9/15/1981 19:30 +Star Junction,,CIRCLE,PA,9/15/1981 20:30 +Grand Prairie,,LIGHT,TX,9/15/1981 21:00 +Twin Falls,,OTHER,ID,9/16/1981 18:00 +Andrews AFB,,CIRCLE,MD,9/20/1981 18:00 +Blue Springs,,OTHER,MO,9/25/1981 22:00 +Keystone,,OVAL,SD,9/27/1981 15:30 +Edina,,DISK,MN,9/29/1981 0:00 +Texas City,,,TX,10/1/1981 0:00 +Hesperia,GREEN,OVAL,MI,10/1/1981 20:00 +Mt. Sterling,,DISK,KY,10/1/1981 20:00 +Columbus,,DISK,OH,10/4/1981 19:00 +Apache Lake,,EGG,AZ,10/15/1981 9:00 +Beaverton,,CIGAR,OR,10/15/1981 16:00 +San Jose,,DISK,CA,10/15/1981 16:30 +Clark County,,DISK,KY,10/15/1981 19:00 +Detroit,,CIGAR,OR,10/18/1981 7:30 +Boulder,,DISK,CO,10/18/1981 16:00 +Sherwood,,OTHER,OR,10/20/1981 21:00 +West Elk Wilderness Area,,CIRCLE,CO,10/30/1981 23:00 +Weed,,DISK,CA,10/31/1981 18:00 +Lincoln,,SPHERE,NE,11/1/1981 22:00 +San Francisco,,OTHER,CA,11/10/1981 21:00 +Plum Grove,,CIRCLE,TX,11/11/1981 3:00 +Sherwood,,OTHER,OR,11/20/1981 19:00 +Broken Arrow,,OVAL,OK,11/20/1981 20:00 +Delmar,RED GREEN BLUE,LIGHT,DE,11/21/1981 21:30 +Pacifica,,VARIOUS,CA,11/23/1981 20:30 +Angleton,,SPHERE,TX,11/25/1981 22:00 +Stowe,,RECTANGLE,VT,11/25/1981 22:00 +North Bergen,,FIREBALL,NJ,11/27/1981 9:00 +Bartlesville,,,OK,11/29/1981 0:30 +Vernon,,TRIANGLE,NJ,11/30/1981 20:00 +Albuquerque,,RECTANGLE,NM,12/1/1981 19:00 +Orlando,,LIGHT,FL,12/1/1981 21:00 +Fort Lauderdale,,,FL,12/20/1981 2:00 +Bedford County,,DISK,VA,12/24/1981 20:00 +Woodstown,,DISK,NJ,12/29/1981 22:00 +Orange County,,CIRCLE,NC,1/1/1982 20:00 +Carlsbad,RED,,NM,1/1/1982 22:00 +Edwards AFB,,LIGHT,CA,1/6/1982 17:00 +Fort Lee,,DISK,VA,1/14/1982 5:00 +Cape Hatteras,,CIRCLE,NC,2/1/1982 13:00 +Mt. Palomar,,,CA,2/1/1982 22:00 +Windsor,,TRIANGLE,CO,2/12/1982 23:54 +Windsor,,TRIANGLE,CO,2/12/1982 23:54 +Yuma,ORANGE,OVAL,AZ,2/15/1982 23:30 +Siamese Ponds Wilderness,,DISK,NY,4/1/1982 4:00 +Walhalla,,OTHER,SC,4/12/1982 20:30 +Piscataway,,DISK,NJ,5/1/1982 20:00 +Fort Collins,ORANGE,FORMATION,CO,5/7/1982 16:30 +Bono,,,AR,5/7/1982 20:00 +Longmont,,DISK,CO,5/9/1982 20:00 +Piscataway,,DISK,NJ,5/11/1982 20:00 +Edinboro,,,PA,5/12/1982 21:50 +Tullahoma,ORANGE,OVAL,TN,5/15/1982 4:30 +Detroit,,TRIANGLE,MI,5/15/1982 16:00 +West Reno,,OTHER,NV,5/15/1982 20:00 +Marin,,DISK,CA,5/18/1982 14:00 +Sterling,,LIGHT,KS,5/20/1982 2:00 +Cheshire,,,CT,5/20/1982 20:00 +Stewart State Park,,FORMATION,OR,5/28/1982 18:00 +Fort Worth,,OVAL,TX,6/1/1982 0:00 +Moki Dugway,,TRIANGLE,UT,6/1/1982 0:00 +Oakland,,LIGHT,MD,6/1/1982 0:00 +Olalla,,CIRCLE,WA,6/1/1982 0:00 +Hershey,RED,OVAL,PA,6/1/1982 1:00 +Sequim,ORANGE,OVAL,WA,6/1/1982 6:00 +Excelsior Springs,,TRIANGLE,MO,6/1/1982 10:00 +Tully,,TRIANGLE,NY,6/1/1982 12:00 +Pineville,,FORMATION,LA,6/1/1982 17:00 +San Antonio,,OTHER,TX,6/1/1982 18:00 +Agawam,,DISK,MA,6/1/1982 20:00 +Indianapolis,,CIRCLE,IN,6/1/1982 20:00 +Tullahoma County,,FORMATION,TN,6/1/1982 20:00 +Great Falls,,CIRCLE,MT,6/1/1982 21:00 +Malmstrom AFB,,CIGAR,MT,6/1/1982 21:00 +Titusville,,LIGHT,FL,6/1/1982 21:00 +Gainesville,,LIGHT,TX,6/1/1982 22:00 +Peekskill,,CHEVRON,NY,6/1/1982 22:00 +Arcola,,TEARDROP,IL,6/1/1982 23:00 +Clovis,,LIGHT,CA,6/2/1982 11:00 +Newark,,FIREBALL,NJ,6/6/1982 0:00 +Warwick,ORANGE,DISK,RI,6/6/1982 1:00 +Dennisport,,DISK,MA,6/8/1982 18:30 +Greensboro,,SPHERE,NC,6/10/1982 21:30 +Coronado,,EGG,CA,6/10/1982 22:00 +Flint,,SPHERE,MI,6/12/1982 13:00 +Steger,GREEN,DIAMOND,IL,6/12/1982 22:30 +Alpine,,LIGHT,CA,6/14/1982 10:00 +Bowie,,DISK,AZ,6/15/1982 0:00 +Sonisidro,,DIAMOND,CA,6/15/1982 0:00 +Seattle,,TRIANGLE,WA,6/15/1982 2:30 +Goldsboro,,DISK,NC,6/15/1982 12:45 +Juneau,ORANGE,SPHERE,AK,6/15/1982 14:00 +Lincoln,,OTHER,CA,6/15/1982 14:00 +Overland Park,,CIGAR,KS,6/15/1982 14:00 +Haughton,RED,DISK,LA,6/15/1982 15:00 +New York City,,CIGAR,NY,6/15/1982 19:00 +San Elizario,,DISK,TX,6/15/1982 19:00 +Agawam,,SPHERE,MA,6/15/1982 20:00 +Chesterfield,,OTHER,MI,6/15/1982 20:00 +Issaquah,,DISK,WA,6/15/1982 21:00 +New Bedford,,OTHER,MA,6/15/1982 21:00 +Sarona,,CIRCLE,WI,6/15/1982 21:00 +Rocky Point,,TRIANGLE,NC,6/15/1982 22:00 +Fontana,,DISK,CA,6/16/1982 14:30 +Chicago,,DISK,IL,6/19/1982 15:00 +Elgin,,CIRCLE,IL,6/19/1982 15:00 +Fort Stockton,,OVAL,TX,6/20/1982 0:00 +Collingswood,,LIGHT,NJ,6/20/1982 20:30 +Highland Springs,GREEN,TRIANGLE,VA,6/20/1982 20:30 +Harpursville,,TRIANGLE,NY,6/20/1982 22:00 +New Ross,,OTHER,IN,6/22/1982 8:30 +,,SPHERE,CA,6/23/1982 23:00 +Terre Haute,,LIGHT,IN,6/25/1982 0:00 +Fagstaff,,CIRCLE,AZ,6/30/1982 0:00 +Grass Valley,,CIGAR,CA,6/30/1982 0:00 +Garden City,,DISK,MI,6/30/1982 23:00 +Monticello,,,UT,7/1/1982 1:00 +Lakewood,,SPHERE,NJ,7/1/1982 8:30 +Marshall,,LIGHT,MO,7/1/1982 19:00 +Rock Hill,,CIGAR,SC,7/1/1982 19:00 +New York City,,DISK,NY,7/1/1982 20:00 +Highland Park,,CYLINDER,IL,7/1/1982 21:00 +Houston,,DISK,TX,7/3/1982 0:00 +Hermosa Beach,,DISK,CA,7/4/1982 21:00 +Madison,,LIGHT,CT,7/5/1982 0:00 +Hamilton,,LIGHT,OH,7/6/1982 19:00 +Malibu,,CIRCLE,CA,7/10/1982 0:00 +Boardman,,LIGHT,OH,7/10/1982 22:00 +Baker Lake,,CIRCLE,WA,7/15/1982 0:00 +Williamsport,,LIGHT,PA,7/15/1982 1:30 +Christiansburg,ORANGE,CIRCLE,OH,7/15/1982 15:00 +Chittenango,ORANGE,TRIANGLE,NY,7/15/1982 21:00 +Las Vegas,,DISK,NV,7/15/1982 21:00 +Reidsville,,OVAL,NC,7/15/1982 21:00 +Land Between the Lakes,,TRIANGLE,KY,7/15/1982 23:00 +Fayetteville,RED YELLOW GREEN BLUE,VARIOUS,NC,7/16/1982 4:37 +Portage Dunning Rs.,,LIGHT,WI,7/16/1982 22:00 +Mountian View,,CYLINDER,CA,7/18/1982 15:30 +Mount Rainier National Park,,LIGHT,WA,7/20/1982 1:00 +Shavertown,,,PA,7/20/1982 2:00 +Athol,,TRIANGLE,MA,7/20/1982 19:00 +Corry-Wattsburg,RED GREEN,TRIANGLE,PA,7/20/1982 22:00 +Grass Valley,,OTHER,CA,7/22/1982 20:30 +Bowling Green,,OTHER,KY,7/23/1982 1:00 +Sweetwater,,CYLINDER,TN,7/23/1982 19:00 +Carolina,,DISK,WV,7/28/1982 11:00 +Holden Beach,,OTHER,NC,7/30/1982 22:00 +Burnsville,,LIGHT,MN,8/1/1982 19:00 +Fremont,,DISK,CA,8/1/1982 23:30 +Rome,,CIGAR,NY,8/5/1982 20:30 +Banks Lake,,OTHER,WA,8/5/1982 23:00 +Townsen,,,MT,8/8/1982 22:00 +Manteca,,DISK,CA,8/10/1982 0:00 +Stockton,,DISK,CA,8/10/1982 7:30 +Stockton,,DISK,CA,8/10/1982 19:30 +Marysville,,DISK,CA,8/10/1982 22:30 +Littleton,,RECTANGLE,MA,8/13/1982 0:30 +Highland Heights,,TEARDROP,OH,8/15/1982 1:00 +Llincoln,,DISK,NE,8/15/1982 3:00 +Asbury Park,,SPHERE,NJ,8/15/1982 3:45 +Tuckerton,,SPHERE,NJ,8/15/1982 6:15 +Old Woman Mountains area,,DISK,CA,8/15/1982 22:00 +Los Angeles,,OVAL,CA,8/17/1982 16:00 +Vacaville,,FIREBALL,CA,8/17/1982 19:00 +Liverpool,,TRIANGLE,NY,8/18/1982 21:00 +Fowlerville,,OVAL,MI,8/20/1982 23:30 +Southwest Harbor,,CYLINDER,ME,8/27/1982 1:00 +Nome,GREEN,LIGHT,ND,9/1/1982 0:00 +Crestwood,,LIGHT,KY,9/1/1982 21:00 +Palm Desert,,DISK,CA,9/7/1982 18:00 +Mount Kisco,RED BLUE,SPHERE,NY,9/9/1982 16:10 +Mason City,ORANGE,SPHERE,IA,9/12/1982 5:30 +Wiley,,FLASH,GA,9/12/1982 22:00 +Murphysboro,,LIGHT,IL,9/13/1982 21:00 +Ripley,,,TN,9/14/1982 2:00 +Calion,,TRIANGLE,AR,9/14/1982 19:00 +Calion,,TRIANGLE,AR,9/14/1982 19:00 +La Crosse,,DISK,WI,9/15/1982 17:00 +Lost Creek,,LIGHT,WV,9/15/1982 21:00 +Eidson,,CHEVRON,TN,9/15/1982 22:00 +Janesville,,RECTANGLE,WI,9/15/1982 22:00 +Gilbert,,,WV,9/18/1982 19:00 +Slidell,,VARIOUS,LA,9/20/1982 12:00 +Luray,,,VA,9/20/1982 16:22 +Dixie,,DISK,ID,9/20/1982 19:00 +Swartz Creek,,FIREBALL,MI,10/1/1982 22:10 +San Antonio,,CIRCLE,TX,10/5/1982 23:00 +New Haven,,TRIANGLE,CT,10/7/1982 23:00 +Weaverville,,OTHER,NC,10/8/1982 18:00 +Pearlington,,LIGHT,MS,10/12/1982 5:30 +Pearlington,,LIGHT,MS,10/12/1982 5:30 +Van Nuys,,DISK,CA,10/15/1982 14:00 +Snoqualmine,ORANGE,OVAL,WA,10/15/1982 18:00 +Lake City,,,FL,10/15/1982 19:00 +Smithfield,,CIRCLE,RI,10/15/1982 19:30 +Barton,,RECTANGLE,VT,10/15/1982 20:00 +North Hudson,,DISK,NY,10/15/1982 20:00 +Hampton,,CHEVRON,VA,10/15/1982 20:30 +Concord,,RECTANGLE,OH,10/15/1982 21:00 +Omaha,,DISK,NE,10/15/1982 21:00 +Narragansette,GREEN,CHEVRON,RI,10/15/1982 22:00 +Chillicothe,,RECTANGLE,OH,10/15/1982 23:00 +Orem,,TRIANGLE,UT,10/21/1982 23:30 +Dilworth,ORANGE,OTHER,MN,10/31/1982 18:30 +East Texas River,,EGG,TX,11/1/1982 0:00 +Ft. Leonard Wood,,DISK,MO,11/1/1982 4:30 +Woolwich,,VARIOUS,ME,11/1/1982 6:15 +Oxnard,GREEN,SPHERE,CA,11/1/1982 23:15 +Florida,,LIGHT,FL,11/11/1982 0:00 +Marksville,,CIRCLE,LA,11/15/1982 3:00 +Fremont,BLUE,LIGHT,OH,11/15/1982 20:00 +Surfside,,DIAMOND,FL,11/20/1982 0:00 +Clinton Township,,CIRCLE,MI,11/23/1982 15:45 +Madill,,FIREBALL,OK,12/1/1982 2:00 +Nyack,,CIGAR,CA,12/1/1982 22:00 +Boone,BLUE,CHEVRON,NC,12/10/1982 22:00 +Huntington,,,NY,12/10/1982 23:00 +Sanford,,DISK,FL,12/15/1982 6:30 +Kingsport,,TRIANGLE,TN,12/15/1982 21:00 +Kansas City,,CIRCLE,MO,12/25/1982 1:45 +High Point,,LIGHT,NC,12/25/1982 19:00 +Crosby,,CYLINDER,TX,1/10/1983 20:00 +Seattle,ORANGE,SPHERE,WA,1/13/1983 17:00 +Glidden,,LIGHT,IA,1/20/1983 18:30 +Las Vegas,,CIRCLE,NV,2/11/1983 0:00 +West Palm Beach,,DISK,FL,2/15/1983 1:00 +Tilden,,FIREBALL,TX,2/28/1983 21:30 +Sandpoint,,DISK,ID,3/1/1983 19:00 +O'Fallon,,DISK,IL,3/1/1983 20:00 +Phoenixville,,SPHERE,PA,3/10/1983 3:00 +Milpitas,,CIRCLE,CA,3/22/1983 13:00 +Overbrook,,OTHER,KS,3/27/1983 21:57 +New Rochelle,,DISK,NY,4/1/1983 17:14 +Bishop,,,CA,4/1/1983 21:00 +Waikiki,,DISK,HI,4/5/1983 20:00 +Fruita,,TRIANGLE,CO,4/7/1983 0:00 +Honolulu,,OVAL,HI,4/7/1983 23:00 +Katonah,,SPHERE,NY,4/15/1983 12:00 +New Orleans,,OVAL,LA,4/15/1983 13:30 +Williamstown,,TRIANGLE,NJ,4/15/1983 19:00 +St. Robert,,OTHER,MO,4/20/1983 0:00 +Wyoming,,OTHER,WY,4/20/1983 0:00 +Prince William Sound,,OTHER,AK,4/20/1983 9:00 +Oshkosh,,TRIANGLE,WI,4/23/1983 8:30 +Oshkosh,,TRIANGLE,WI,4/23/1983 20:30 +Blythe,,VARIOUS,AZ,4/27/1983 23:42 +Lehi,,,UT,4/30/1983 9:00 +North Kansas City,,OTHER,MO,5/1/1983 17:30 +Washington County,,DIAMOND,MS,5/1/1983 19:00 +Chesterfield,,CYLINDER,VA,5/1/1983 21:00 +Minneapolis,,DISK,MN,5/2/1983 9:00 +Riverside,,CIRCLE,TX,5/5/1983 19:45 +Bremerton,,TRIANGLE,WA,5/10/1983 23:15 +Granite City,,DISK,IL,5/13/1983 21:30 +Roslyn,,DISK,NY,5/15/1983 0:00 +Willits,,DIAMOND,CA,5/15/1983 19:30 +Tallahassee,,,FL,5/17/1983 5:45 +Valley City,,OTHER,ND,5/20/1983 21:30 +Pacoima,,OTHER,CA,5/24/1983 1:30 +San Bernadino,,DISK,CA,5/28/1983 21:15 +Muskegon County,,DISK,MI,5/31/1983 8:00 +Hampton,,CIRCLE,GA,6/1/1983 0:00 +Nevada,,OTHER,NV,6/1/1983 10:00 +Cleveland,,OVAL,OH,6/1/1983 11:00 +San Diego,,,CA,6/1/1983 15:30 +Dearborn,,DISK,MI,6/1/1983 16:00 +St. Louis,,DISK,MO,6/1/1983 19:00 +Crosby,RED ORANGE,OVAL,TX,6/1/1983 20:00 +Phoenix,,CIRCLE,AZ,6/1/1983 21:30 +Sarasota,,DISK,FL,6/1/1983 22:00 +Alpena,,SPHERE,AR,6/1/1983 23:00 +Phoenix,,DISK,AZ,6/1/1983 23:00 +Westwood,,OTHER,CA,6/1/1983 23:00 +Jeffersonville,,OVAL,IN,6/2/1983 22:00 +North Bend,,OVAL,OR,6/6/1983 22:00 +North Canton,,VARIOUS,OH,6/15/1983 0:00 +Cloverdale,,EGG,CA,6/15/1983 0:15 +Shokan,,LIGHT,NY,6/15/1983 2:00 +Garden City,,DISK,MI,6/15/1983 11:30 +Borger,,OTHER,TX,6/15/1983 17:30 +Sandpoint,,DISK,ID,6/15/1983 18:00 +Amarillo,,TRIANGLE,TX,6/15/1983 19:00 +Phoenix,,SPHERE,AZ,6/15/1983 19:30 +Reno,GREEN,LIGHT,NV,6/15/1983 20:00 +Jacksonville,,TRIANGLE,FL,6/15/1983 21:30 +St. Paul Park,,TRIANGLE,MN,6/15/1983 22:00 +Red Wing,,TRIANGLE,MN,6/15/1983 22:30 +Truckee,,CIRCLE,CA,6/18/1983 23:00 +Tulsa,,CIRCLE,OK,6/27/1983 7:30 +North Port,,,MI,6/30/1983 0:00 +Williamsburg,YELLOW,CIRCLE,VA,6/30/1983 1:00 +Amesbury,,TRIANGLE,MA,6/30/1983 3:00 +San Diego,,OTHER,CA,6/30/1983 15:00 +Stonewall,,OVAL,LA,6/30/1983 18:00 +Wedgefield,,DISK,SC,6/30/1983 21:00 +Koneohe Bay,,,HI,6/30/1983 22:00 +Swayzee,YELLOW GREEN BLUE,,IN,7/1/1983 1:30 +Ft. Huachuca,,LIGHT,AZ,7/1/1983 2:30 +Strandburg,RED GREEN,FORMATION,SD,7/1/1983 4:00 +Sharps Creek,,DIAMOND,OR,7/1/1983 15:00 +Warwick,,DISK,RI,7/1/1983 18:00 +Pittsburg,,FLASH,KS,7/1/1983 21:10 +Lumberton,,DISK,TX,7/3/1983 0:00 +Sharpsville,RED,OVAL,PA,7/4/1983 21:00 +New York City,,FIREBALL,NY,7/10/1983 20:00 +Mountain Home,,OVAL,ID,7/10/1983 21:00 +Savanah,,RECTANGLE,GA,7/15/1983 0:00 +Vanderbilt,,OTHER,MI,7/15/1983 0:00 +Hollywood,YELLOW,FIREBALL,FL,7/15/1983 5:30 +Grand Prairie,,,TX,7/15/1983 18:00 +Lake City,,TRIANGLE,FL,7/15/1983 18:00 +Moreno Valley,,VARIOUS,CA,7/15/1983 18:30 +Fair Lawn,GREEN,SPHERE,NJ,7/15/1983 19:00 +Edison,,SPHERE,NJ,7/15/1983 20:00 +Poughkeepsie,,OTHER,NY,7/15/1983 21:15 +Little Falls,,RECTANGLE,NJ,7/15/1983 22:00 +Taylorville,,DISK,IL,7/15/1983 22:00 +Goldens Bridge,,CHEVRON,VA,7/20/1983 22:30 +San Antonio,,CIGAR,TX,7/27/1983 21:00 +Santa Rosa,RED,,CA,8/1/1983 1:30 +Reedsville,,SPHERE,WV,8/1/1983 14:30 +Mt. Kisco,,TRIANGLE,NY,8/1/1983 21:00 +Dallas,RED YELLOW GREEN,SPHERE,TX,8/1/1983 22:30 +Cassopolis,,SPHERE,MI,8/8/1983 15:00 +Pulaski,,TRIANGLE,VA,8/12/1983 23:40 +Hastings,,OTHER,MI,8/14/1983 2:00 +Plattekill,,DISK,NY,8/15/1983 0:30 +Citrus Heights,,DISK,CA,8/15/1983 17:00 +Cookstown,,TRIANGLE,NJ,8/15/1983 20:00 +Hartford,,FIREBALL,CT,8/15/1983 21:00 +Katonah,,TRIANGLE,NY,8/15/1983 21:00 +Quinton,,OTHER,VA,8/15/1983 21:00 +Shellsburg,,TRIANGLE,IA,8/15/1983 21:00 +Bedford Hills,,CHEVRON,NY,8/15/1983 21:05 +Columbus,,DISK,GA,8/15/1983 23:30 +Peoria County,RED ORANGE,CIGAR,IL,8/20/1983 18:00 +New Haven,,SPHERE,CT,8/21/1983 22:50 +Van Nuys,,TRIANGLE,CA,8/22/1983 22:00 +North Las Vegas,,DIAMOND,NV,9/1/1983 19:30 +Allentown,,DISK,PA,9/1/1983 20:00 +Boulder,,TRIANGLE,CO,9/1/1983 21:30 +Maroa,,DISK,IL,9/4/1983 15:10 +Mulberry,,LIGHT,IN,9/10/1983 19:00 +Plomosa Mountains,,FIREBALL,AZ,9/12/1983 21:00 +Ocean Isle Beach,,DISK,SC,9/13/1983 10:49 +Minden,,SPHERE,NV,9/15/1983 5:00 +Clovis,,TRIANGLE,NM,9/15/1983 21:00 +Stratford,,TRIANGLE,CT,9/15/1983 21:00 +Hamersville,RED,SPHERE,OH,9/30/1983 20:00 +Ayer,,,MA,10/1/1983 20:00 +Elizabeth Township,,OVAL,PA,10/1/1983 20:30 +Tarboro,,DISK,NC,10/1/1983 21:00 +California Valley,,DISK,CA,10/15/1983 0:00 +Crete,,TRIANGLE,NE,10/15/1983 19:00 +Upper Saddle River,,,NJ,10/21/1983 3:00 +California Valley,,DISK,CA,10/25/1983 2:00 +Orange,ORANGE,DIAMOND,MA,10/25/1983 20:55 +Rochester,,DIAMOND,NH,10/31/1983 19:00 +Citrus Heights,ORANGE,DISK,CA,11/1/1983 20:00 +Gibsonville,,LIGHT,NC,11/1/1983 20:00 +Kingston,,TRIANGLE,NY,11/1/1983 21:00 +Virginia Beach,,LIGHT,VA,11/15/1983 17:00 +Sutherland,,OTHER,NE,11/15/1983 23:30 +Lake Okeechoobee,,OVAL,FL,11/28/1983 23:00 +Madison,,,WI,12/1/1983 2:00 +Indian Springs,,,NV,12/3/1983 2:00 +Kent,,,WA,12/5/1983 5:00 +Garner,,TRIANGLE,NC,12/15/1983 1:15 +Charlottesville,,DISK,VA,12/31/1983 20:00 +Fayetteville,,FIREBALL,NC,1/3/1984 13:00 +St. George,,FORMATION,UT,1/8/1984 22:00 +Idaho,,VARIOUS,ID,1/13/1984 2:12 +Valier,,LIGHT,MT,1/21/1984 21:00 +Bozeman,,CIGAR,MT,1/23/1984 6:45 +Kirkland,,CIRCLE,IL,1/24/1984 0:00 +Rolla,YELLOW,LIGHT,MO,1/26/1984 19:30 +Columbia,,,SC,2/1/1984 21:00 +Marlow,,FIREBALL,NH,2/10/1984 22:00 +Eugene,,TRIANGLE,OR,3/1/1984 22:00 +Cowansville,,TRIANGLE,PA,3/14/1984 16:00 +Griffin,RED YELLOW,CIRCLE,GA,3/15/1984 20:00 +Greenville,,TRIANGLE,VA,3/15/1984 21:30 +Alton,,OTHER,ME,3/18/1984 2:30 +Newburgh,,CIRCLE,NY,3/24/1984 8:00 +Mettacahonts,,FORMATION,NY,3/27/1984 20:00 +Rosendale,,CIRCLE,NY,3/27/1984 23:00 +Griffin,,CIRCLE,GA,3/30/1984 13:00 +Arlington,,TRIANGLE,TX,4/5/1984 21:30 +Monahans,,,TX,4/11/1984 2:00 +Southwest City,,LIGHT,MO,4/11/1984 21:30 +Branford,,EGG,CT,4/15/1984 0:00 +Lake Worth,,DISK,FL,4/15/1984 2:00 +Elizabethtown,,DISK,KY,4/15/1984 15:00 +Yelvington,,TRIANGLE,KY,4/15/1984 21:00 +Magnolia,,DISK,TX,4/21/1984 22:00 +Auburn,,TRIANGLE,NY,4/23/1984 5:30 +Joliet,,CIRCLE,IL,5/1/1984 18:00 +Glen Rose,,TRIANGLE,AR,5/1/1984 19:00 +Burnsville,RED,RECTANGLE,MN,5/1/1984 20:00 +Proctorville,BLUE,DISK,OH,5/5/1984 12:00 +Cloquet,,OTHER,MN,5/5/1984 22:00 +Los Angeles,,DISK,CA,5/14/1984 15:00 +Cleveland,,OTHER,GA,5/15/1984 16:00 +Flower Mound,,DISK,TX,5/15/1984 18:45 +Winchester,,CIRCLE,VA,5/15/1984 23:00 +Barstow,,CIRCLE,CA,5/20/1984 21:00 +Marlette,,,MI,5/20/1984 22:30 +Longview,,TRIANGLE,TX,5/21/1984 21:30 +Huntsville,,SPHERE,AL,6/1/1984 0:00 +Huntsville,,SPHERE,AL,6/1/1984 0:00 +Mayfield,,DISK,KY,6/1/1984 0:00 +Sweetwater,,,TN,6/1/1984 0:00 +Tampa,,CYLINDER,FL,6/1/1984 2:20 +Colfax,,OVAL,WA,6/1/1984 12:00 +Orlando,,CIRCLE,FL,6/1/1984 12:00 +Bowling Green,,,KY,6/1/1984 13:00 +Elmendorf AFB,RED,DIAMOND,AK,6/1/1984 13:00 +Wakefield,,EGG,MA,6/1/1984 17:00 +Mobile,,SPHERE,AL,6/1/1984 17:15 +Sierra Vista,,TRIANGLE,AZ,6/1/1984 18:00 +Parker City,,FIREBALL,IN,6/1/1984 19:00 +Paramus,,CIGAR,NJ,6/1/1984 20:00 +Bandon,,RECTANGLE,OR,6/1/1984 21:00 +Ka'anapali,,LIGHT,HI,6/1/1984 21:00 +Perry,,OTHER,OH,6/1/1984 21:00 +Ferriday,,OTHER,LA,6/1/1984 22:00 +Tolland,,TRIANGLE,CT,6/1/1984 22:00 +Los Angeles,,CIRCLE,CA,6/1/1984 23:00 +Ravenna,,CIRCLE,MI,6/1/1984 23:30 +Clayton,,DISK,OH,6/10/1984 22:00 +Spalding,,LIGHT,NE,6/15/1984 0:30 +Burgettstown,,FIREBALL,PA,6/15/1984 1:00 +Ashville,,DISK,OH,6/15/1984 2:50 +Jacksonport,,DISK,WI,6/15/1984 3:00 +Methow,,OVAL,WA,6/15/1984 3:00 +Griffin,,,GA,6/15/1984 14:00 +Draper,,CONE,VA,6/15/1984 16:45 +Asheville,,CIRCLE,NC,6/15/1984 18:00 +Ely,,DIAMOND,MN,6/15/1984 19:00 +Mansfield,RED,FORMATION,OH,6/15/1984 20:00 +Wheeling,,,WY,6/15/1984 20:30 +Greenburg,,,NY,6/15/1984 21:30 +Grain Valley,,SPHERE,MO,6/15/1984 22:00 +Indjifa,,DISK,PA,6/15/1984 22:30 +Lorain,,CIRCLE,OH,6/17/1984 10:00 +Wilkes-Barre,,OTHER,PA,6/19/1984 11:00 +Sacramento,,CIRCLE,CA,6/20/1984 12:00 +Holmwood,,OVAL,LA,6/20/1984 20:20 +Columbia,,OVAL,SC,6/24/1984 19:00 +Tallahassee,,,FL,6/24/1984 21:00 +El Paso,,CIRCLE,TX,6/30/1984 0:30 +Adelanto,,SPHERE,CA,6/30/1984 6:40 +Malvern,,,AR,6/30/1984 8:30 +Atlanta,,,GA,6/30/1984 12:00 +Denton,,LIGHT,TX,6/30/1984 21:00 +Oakhill,,CIRCLE,TX,6/30/1984 21:30 +Milford,,SPHERE,CT,6/30/1984 22:00 +New York City,,TRIANGLE,NY,7/1/1984 21:30 +Peekskill,,TRIANGLE,NY,7/1/1984 22:00 +DeWitt,BLUE,FIREBALL,AR,7/4/1984 4:00 +Eatonton,,TRIANGLE,GA,7/7/1984 22:00 +Irvington,,CYLINDER,KY,7/8/1984 23:00 +Martin,,OVAL,SD,7/8/1984 23:00 +Blairstown,BLUE,LIGHT,MO,7/10/1984 3:30 +Lake Skinner,BLUE,LIGHT,CA,7/10/1984 4:00 +New Pine Creek,,LIGHT,CA,7/10/1984 22:30 +Portsmouth,,CIRCLE,VA,7/14/1984 22:00 +Deming area,,CYLINDER,NM,7/15/1984 2:00 +Brighton,,OTHER,MI,7/15/1984 23:00 +Knightstown,,TRIANGLE,IN,7/18/1984 1:30 +Millwood,,TRIANGLE,NY,7/19/1984 18:00 +Ossining,,OTHER,NY,7/19/1984 18:00 +Iowa City,,CIRCLE,IA,7/20/1984 22:00 +Brewster,RED,OVAL,NY,7/24/1984 22:00 +Perkiomenville,GREEN,DISK,PA,7/24/1984 22:00 +Terre Haute,,OTHER,IN,7/25/1984 4:00 +Watchung Mountains,,,NJ,7/25/1984 12:00 +Suffolk,ORANGE,SPHERE,VA,7/25/1984 20:00 +Rosebud,,OTHER,MO,7/31/1984 19:00 +Middlebury,,OTHER,CT,7/31/1984 22:00 +Middlebury,,OTHER,CT,7/31/1984 22:00 +Sandpoint,,DISK,ID,8/1/1984 4:00 +Manotowish Waters,RED,LIGHT,WI,8/1/1984 23:00 +Caribou,,EGG,ME,8/7/1984 21:00 +Gaylord,,OTHER,MI,8/8/1984 23:00 +Bellingham,,,WA,8/10/1984 4:30 +Boalsburg,,LIGHT,PA,8/10/1984 23:00 +Columbus,,RECTANGLE,OH,8/12/1984 21:00 +Eureka,,CIRCLE,MT,8/14/1984 0:00 +Wabeno,,OTHER,WI,8/15/1984 0:00 +Beckley,,,WV,8/15/1984 1:00 +Cape Canaveral,,LIGHT,FL,8/15/1984 1:30 +Haddon Heights,,TRIANGLE,NJ,8/15/1984 19:30 +Croton-on-Hudson,,SPHERE,NY,8/15/1984 21:00 +South Glens Falls,,CIGAR,NY,8/15/1984 21:00 +Stamford,,DISK,CT,8/15/1984 21:00 +Brewster,,CHEVRON,NY,8/15/1984 23:00 +Countryside,GREEN BLUE,TRIANGLE,IL,8/18/1984 8:30 +Cedarburg,,RECTANGLE,WI,8/21/1984 21:30 +Altha,,CYLINDER,FL,8/26/1984 16:00 +Baltimore,,TRIANGLE,MD,9/1/1984 19:00 +Pacific Beach,,OVAL,CA,9/1/1984 19:00 +Medanales,RED,LIGHT,NM,9/1/1984 21:00 +River Rouge,,SPHERE,MI,9/1/1984 22:00 +Manor,,,TX,9/1/1984 23:00 +Osage,,SPHERE,IA,9/2/1984 8:20 +Plumas Eureka State Park Camp Grounds,,TRIANGLE,CA,9/3/1984 23:00 +Alamo Lake,,,AZ,9/4/1984 22:00 +California,,CIGAR,CA,9/9/1984 22:00 +Schuylkill Haven,,TRIANGLE,PA,9/15/1984 20:00 +Sterling,,LIGHT,AK,9/15/1984 23:00 +Elwood,,CHEVRON,NY,9/16/1984 15:00 +New York City,,TEARDROP,NY,9/20/1984 21:00 +Waldport,,LIGHT,OR,10/1/1984 1:00 +Chatsworth,,LIGHT,CA,10/1/1984 20:00 +Acton,RED,TRIANGLE,ME,10/1/1984 21:00 +Augusta,,FIREBALL,GA,10/3/1984 21:00 +Houston,,CIRCLE,TX,10/10/1984 5:00 +Traverse City,,OTHER,MI,10/10/1984 12:00 +White Plains,,FORMATION,NY,10/10/1984 22:00 +Duchenne,,DISK,UT,10/15/1984 1:00 +Newbury,,CIGAR,OH,10/15/1984 2:30 +New Castle,,OTHER,DE,10/15/1984 8:15 +Quincy,,,CA,10/15/1984 9:00 +Skowhegan,,DISK,ME,10/15/1984 19:00 +Albuquerque,,DISK,NM,10/15/1984 19:30 +Strafford,,CIRCLE,MO,10/15/1984 21:00 +Uvalde,,CIRCLE,TX,10/15/1984 22:30 +New Boston,,EGG,TX,10/15/1984 23:00 +Allendale,,LIGHT,MI,10/18/1984 22:00 +Middle Town,,DIAMOND,CA,10/20/1984 3:00 +Columbus,,LIGHT,OH,10/20/1984 5:00 +Honey Grove,,DISK,TX,11/1/1984 17:30 +Carrollton,,OTHER,GA,11/7/1984 2:30 +Brandon,,CYLINDER,MS,11/9/1984 4:00 +Edgartown,,TRIANGLE,MA,11/11/1984 23:00 +Alvarado,,FIREBALL,TX,11/14/1984 20:00 +Jasper,,,FL,11/15/1984 18:00 +North Platte,,OTHER,NE,11/15/1984 18:00 +Ruggles Beach,,CHEVRON,OH,11/20/1984 5:00 +Columbus,,CIGAR,WI,11/24/1984 13:00 +Williamstown,,TRIANGLE,MA,11/24/1984 19:30 +St. Charles,RED,VARIOUS,IL,11/26/1984 22:00 +Montgomery,,FIREBALL,AL,12/1/1984 18:00 +Emporium,,CIRCLE,PA,12/4/1984 20:00 +Tocca,,TRIANGLE,GA,12/24/1984 23:15 +Holly,,OTHER,MI,1/1/1985 1:00 +Largo,RED,OTHER,FL,1/1/1985 21:00 +Virginia Beach,RED,,VA,1/1/1985 22:00 +Caribbean Sea,,OTHER,FL,1/1/1985 23:00 +Wampum,,CIRCLE,PA,1/15/1985 3:00 +McGrady,,VARIOUS,NC,1/15/1985 20:50 +Sunbury,,,PA,1/15/1985 22:00 +South Gate,,CYLINDER,CA,1/15/1985 22:30 +Hermiston,BLUE,OTHER,OR,1/27/1985 1:30 +Portland,,LIGHT,OR,2/1/1985 22:30 +Hinesville,,SPHERE,GA,2/15/1985 0:00 +Malden,ORANGE,FIREBALL,MO,2/15/1985 0:00 +Portland,,LIGHT,OR,2/28/1985 23:00 +Wichita,ORANGE,TRIANGLE,KS,3/1/1985 20:30 +Woodbridge,,,VA,3/2/1985 20:15 +Bellefontaine,,CHEVRON,MO,3/14/1985 19:13 +Unadilla,,CIGAR,NE,3/15/1985 14:30 +Nashville,,OVAL,TN,3/26/1985 1:25 +New York City,,VARIOUS,NY,4/1/1985 15:00 +Weston,,OTHER,CT,4/1/1985 20:00 +Stone Ridge,,OTHER,NY,4/4/1985 20:00 +Chicago,,DISK,IL,4/4/1985 23:00 +Nova,,TRIANGLE,OH,4/15/1985 21:30 +Granville Summit,,DISK,PA,4/15/1985 22:00 +Austin,,OVAL,TX,4/19/1985 21:00 +Sanford,,SPHERE,NC,4/20/1985 10:00 +San Francisco,,CYLINDER,CA,4/27/1985 18:30 +Dequincy,,,LA,4/30/1985 11:00 +Harrisburg,,LIGHT,NC,5/1/1985 13:00 +Milwaukee,,LIGHT,WI,5/1/1985 13:00 +Santa Cruz,,OTHER,CA,5/1/1985 14:00 +North Miami,,CIRCLE,FL,5/1/1985 17:00 +Grand Island,,SPHERE,NE,5/1/1985 19:00 +Lanett,,LIGHT,AL,5/1/1985 20:30 +Wiseman's View,,CIRCLE,NC,5/1/1985 21:00 +Orlando,,TRIANGLE,FL,5/8/1985 21:30 +Magna,,SPHERE,UT,5/10/1985 6:00 +Altoona,,DISK,PA,5/12/1985 20:00 +Beaver Damm,,CIGAR,WI,5/15/1985 17:00 +Clarksburg,,CIRCLE,WV,5/15/1985 20:00 +Tempe,,SPHERE,AZ,5/15/1985 22:00 +Little Rock,,CIRCLE,AR,5/23/1985 9:00 +Middletown,GREEN,RECTANGLE,NY,5/30/1985 0:00 +California,,CIGAR,CA,6/1/1985 0:00 +Pensacola,,FORMATION,FL,6/1/1985 0:00 +Winslow,,TRIANGLE,AR,6/1/1985 12:00 +Prineville,,OTHER,OR,6/1/1985 13:00 +St. Petersburg,,TEARDROP,FL,6/1/1985 14:30 +Tampa,,DISK,FL,6/1/1985 17:00 +Forestville,,DISK,CA,6/1/1985 17:30 +Trenton,GREEN,OVAL,TX,6/1/1985 17:30 +Bemidji,,TRIANGLE,MN,6/1/1985 18:00 +Phoenix,,,AZ,6/1/1985 20:00 +Reno,,OTHER,NV,6/1/1985 21:00 +Lola,,SPHERE,KS,6/1/1985 22:00 +North Tonawanda,,CHEVRON,NY,6/1/1985 22:00 +Snohomish,,TRIANGLE,WA,6/1/1985 22:00 +Wilkesboro,,FIREBALL,NC,6/1/1985 22:00 +Stratford,,SPHERE,NJ,6/1/1985 22:40 +Casselberry,,OTHER,FL,6/1/1985 23:00 +Sebastopol,,,CA,6/1/1985 23:00 +Old Faithful,,,WY,6/2/1985 23:30 +Ft. Huachuca,,TRIANGLE,AZ,6/6/1985 20:00 +Tulsa,,DISK,OK,6/7/1985 16:30 +Gainesville,,CIGAR,FL,6/10/1985 22:10 +Houston,,TRIANGLE,TX,6/11/1985 22:30 +Coronado,,,CA,6/12/1985 11:00 +Wallingford,,RECTANGLE,CT,6/14/1985 20:00 +Grayridge,,VARIOUS,MO,6/15/1985 0:00 +Seward,,DISK,AK,6/15/1985 2:00 +Route 7,,RECTANGLE,NY,6/15/1985 2:30 +El Paso,,DISK,TX,6/15/1985 12:00 +Stokes,,DISK,NC,6/15/1985 14:00 +Kalamazoo,,,MI,6/15/1985 17:00 +Fairfax,,,VA,6/15/1985 18:00 +Panther,,OVAL,WV,6/15/1985 18:00 +Mohave Desert,BLUE,OVAL,CA,6/15/1985 19:00 +Rolla,,CIRCLE,MO,6/15/1985 20:00 +Waverly Hall,,DISK,GA,6/15/1985 20:00 +Ladson,GREEN,CIRCLE,SC,6/15/1985 21:00 +New York City,,OVAL,NY,6/15/1985 23:00 +Wichita,GREEN,CIRCLE,KS,6/15/1985 23:00 +"Joshua Tree National Park, Twenty Nine Palms",,FORMATION,CA,6/17/1985 2:00 +Cottage Grove,,SPHERE,OR,6/18/1985 13:00 +Barboursville,,CYLINDER,WV,6/19/1985 20:30 +Salem,,SPHERE,NH,6/20/1985 14:00 +Kankakee,,CYLINDER,IL,6/20/1985 21:00 +Lorain,BLUE,CIRCLE,OH,6/20/1985 22:30 +Daisytown,,CIRCLE,PA,6/23/1985 22:00 +Hallandale Beach,,DISK,FL,6/30/1985 2:00 +Whitney,,FORMATION,TX,6/30/1985 2:30 +Jasper,,,MO,6/30/1985 12:00 +Big Bend National Park,,,TX,6/30/1985 13:00 +Harlan,,DISK,IN,6/30/1985 17:00 +Katy,,TRIANGLE,TX,6/30/1985 18:00 +Paterson,,DISK,NJ,6/30/1985 18:00 +Eustis,,LIGHT,FL,6/30/1985 18:30 +White Plains,,CHEVRON,NY,6/30/1985 20:00 +,,,AZ,6/30/1985 21:30 +Alvordon,RED,LIGHT,OH,6/30/1985 22:00 +San Diego,,LIGHT,CA,6/30/1985 22:45 +Sterling,,CIRCLE,VA,6/30/1985 23:00 +I don't know,ORANGE,SPHERE,MO,6/30/1985 23:30 +Los Alamitos,,VARIOUS,CA,7/1/1985 19:00 +Marysville,,,WA,7/1/1985 20:30 +Great Neck,,RECTANGLE,NY,7/1/1985 22:00 +Magnolia,,EGG,NJ,7/1/1985 22:00 +Golden Pond,,CIGAR,KY,7/4/1985 15:00 +Hardy,,TRIANGLE,AR,7/4/1985 21:00 +Peekskill,ORANGE,TRIANGLE,NY,7/5/1985 21:00 +Yosemite National Park,,LIGHT,CA,7/5/1985 21:30 +Kona,GREEN,TRIANGLE,HI,7/6/1985 4:00 +Presidio,,OTHER,TX,7/7/1985 21:00 +Eatonton,,FORMATION,GA,7/7/1985 23:00 +Yosemite Forest,,EGG,CA,7/7/1985 23:30 +Flint,,TRIANGLE,MI,7/10/1985 18:30 +Plant City,,TRIANGLE,FL,7/10/1985 22:00 +Haledon,,CHEVRON,NJ,7/13/1985 22:00 +Carlsbad,,LIGHT,NM,7/14/1985 23:00 +Greenville,,DISK,VA,7/15/1985 7:15 +Phoenix,,SPHERE,AZ,7/15/1985 13:00 +Belle Chasse,,OTHER,LA,7/15/1985 20:30 +Birch Bay,,DISK,WA,7/15/1985 21:00 +Holmdel,,VARIOUS,NJ,7/15/1985 21:30 +Trumbull,RED,,CT,7/15/1985 21:30 +Georgetown,,TRIANGLE,TX,7/15/1985 23:00 +Georgetown,GREEN,TRIANGLE,TX,7/15/1985 23:00 +Griffith,,OTHER,IN,7/16/1985 21:00 +Copalis Beach,,DISK,WA,7/19/1985 22:30 +Ironton,,LIGHT,MO,7/20/1985 23:00 +Concord,RED GREEN,OVAL,CA,7/21/1985 21:00 +Mercer Island,,DIAMOND,WA,7/23/1985 0:00 +Del Rio,,DIAMOND,TX,7/24/1985 21:00 +Arlington,,CIGAR,TX,7/28/1985 3:15 +Woodside,,CIRCLE,CA,7/30/1985 23:45 +San Carlos,,LIGHT,CA,7/31/1985 22:30 +Cimarron,,CIRCLE,NM,8/1/1985 1:00 +Alexandria,,TRIANGLE,MN,8/1/1985 13:00 +Black Diamond,,OTHER,WA,8/1/1985 20:00 +Wilburton,,OTHER,OK,8/1/1985 22:00 +Kirkland,,LIGHT,IL,8/10/1985 22:00 +North Tonawanda,,DISK,NY,8/12/1985 0:42 +Sagamore Hills,,RECTANGLE,OH,8/15/1985 2:00 +Arlington,,TRIANGLE,WA,8/15/1985 3:00 +Winnemucca,,OTHER,NV,8/15/1985 12:00 +Ramona,,FORMATION,CA,8/15/1985 13:00 +Eau Claire,,CIGAR,WI,8/15/1985 20:00 +South Nags Head,,TRIANGLE,NC,8/15/1985 20:00 +Houston,GREEN,TRIANGLE,TX,8/15/1985 21:30 +Garden City,,CIRCLE,SC,8/15/1985 23:00 +Columbia,,OTHER,AL,8/16/1985 19:00 +Levittown,RED,TRIANGLE,PA,8/20/1985 0:00 +Tarryall Reservoir,,SPHERE,CO,8/20/1985 1:00 +Hamilton,,OVAL,OH,8/20/1985 19:30 +Kelseyville,,LIGHT,CA,8/20/1985 21:00 +Friendship,,RECTANGLE,NY,8/20/1985 22:00 +Mechanics Town,,DISK,NY,8/24/1985 0:00 +Allenspark,,LIGHT,CO,8/25/1985 22:30 +Rockland,,DISK,NY,9/1/1985 9:00 +Pendleton,,RECTANGLE,OR,9/1/1985 13:30 +Waterbury,,OVAL,CT,9/1/1985 19:00 +Wappingers Falls,,FORMATION,NY,9/1/1985 21:00 +Juneau,,CIRCLE,AK,9/5/1985 1:30 +Rutland,,TRIANGLE,VT,9/5/1985 2:15 +Kaunakakai,,EGG,HI,9/12/1985 16:10 +La Veta,,CIRCLE,CO,9/12/1985 23:43 +Downingtown,,DISK,PA,9/14/1985 22:00 +Beacon Falls,,LIGHT,CT,9/15/1985 19:00 +Annandale,,OVAL,NY,9/15/1985 21:15 +Green River,,LIGHT,WY,9/15/1985 23:00 +Coconut Creek,,DISK,FL,9/20/1985 16:00 +Austin,,CHEVRON,TX,9/26/1985 21:25 +Sparta,,CIRCLE,WI,9/28/1985 18:30 +Amherst,,RECTANGLE,MA,9/30/1985 6:00 +Brandon,,TRIANGLE,FL,10/1/1985 0:00 +Holton,,LIGHT,MI,10/1/1985 5:30 +Monroe,,SPHERE,NC,10/1/1985 5:30 +Jefferson,,TRIANGLE,OH,10/1/1985 21:30 +Santa Margarita,,OTHER,CA,10/1/1985 21:30 +Lawrence,,SPHERE,KS,10/1/1985 22:45 +Swansboro,,DISK,NC,10/12/1985 23:45 +San Ramon,,DISK,CA,10/15/1985 0:00 +Cleveland,,DIAMOND,OH,10/15/1985 7:00 +Hixson,ORANGE,OTHER,TN,10/15/1985 19:00 +Hartford city,,TRIANGLE,IN,10/15/1985 20:00 +Camden,,DISK,SC,10/15/1985 22:00 +Throop,,OVAL,PA,10/20/1985 5:00 +Moorestown,,OVAL,NJ,10/20/1985 19:00 +New York City,,SPHERE,NY,10/22/1985 20:00 +Hawthorne,,TRIANGLE,CA,10/25/1985 1:00 +North Hollywood,,SPHERE,CA,10/25/1985 22:00 +New York City,,DISK,NY,10/31/1985 20:30 +Plan,,TRIANGLE,TX,11/1/1985 20:00 +Patterson,,CIGAR,NY,11/2/1985 1:00 +Lou Costello Recreation Center,,CIRCLE,CA,11/10/1985 19:00 +Sacramento,,FORMATION,CA,11/13/1985 20:00 +Vernon Valley,,OTHER,NJ,11/15/1985 20:30 +South Milwaukee,,LIGHT,WI,11/20/1985 0:00 +Cedar Grove,GREEN,SPHERE,WI,11/20/1985 4:18 +Big Cane,GREEN,LIGHT,LA,11/20/1985 22:30 +Edna,,,TX,11/25/1985 0:00 +Eatonton,,DISK,GA,11/26/1985 4:30 +Monterey Bay Area,,FORMATION,CA,12/1/1985 14:00 +Walden,,OVAL,NY,12/3/1985 18:15 +Manaus-Amazonas,,EGG,AL,12/5/1985 5:00 +Auburn,,,AL,12/15/1985 17:30 +Savannah,RED GREEN BLUE,TRIANGLE,GA,12/15/1985 23:00 +Buckner,,TRIANGLE,MO,12/16/1985 18:00 +Vallejo,,TRIANGLE,CA,12/16/1985 19:00 +West Yarmouth,,DIAMOND,MA,12/20/1985 22:00 +Ridgefield,,CIRCLE,CT,12/25/1985 22:00 +Crestwood,,OVAL,KY,1/1/1986 3:00 +South Yarmouth,,CIRCLE,MA,1/15/1986 22:00 +Lido Beach,,CIRCLE,NY,1/16/1986 9:10 +NASA,,OVAL,FL,1/28/1986 0:00 +Clarkton,,CIGAR,NC,1/28/1986 13:00 +Old Fort,,RECTANGLE,NC,1/29/1986 20:00 +Victor,,CIRCLE,MT,1/29/1986 21:30 +Van Nuys,,CONE,CA,2/6/1986 2:05 +Fort Leonard Wood,,FORMATION,MO,2/12/1986 16:00 +Mercedes,,OVAL,TX,2/14/1986 8:15 +Los Gatos,,DISK,CA,2/15/1986 17:00 +West Palm Beach,,TRIANGLE,FL,2/15/1986 21:00 +Portsmouth,,OTHER,VA,2/22/1986 21:00 +Nevada,,CIRCLE,NV,2/25/1986 22:00 +Victor,,CIRCLE,MT,2/28/1986 6:00 +Middle Smithfield Township,,TRIANGLE,PA,3/10/1986 0:45 +Delray Beach,,DISK,FL,3/15/1986 0:00 +St. Petersburg,,,FL,3/15/1986 10:30 +Midway,,LIGHT,GA,3/15/1986 15:40 +Los Angeles,,TRIANGLE,CA,3/25/1986 7:45 +Alamo,,RECTANGLE,NV,3/29/1986 19:30 +Chicago,,SPHERE,IL,4/1/1986 14:30 +Red Lodge,,,MT,4/1/1986 22:00 +Brownsville,,DISK,TX,4/1/1986 22:15 +Mt. Gilead,,OVAL,OH,4/2/1986 21:30 +Knoxville,,RECTANGLE,TN,4/4/1986 23:00 +Palm Springs,,DISK,CA,4/10/1986 12:00 +Oak Lawn,,OTHER,IL,4/12/1986 13:00 +Julian,RED BLUE,OTHER,CA,4/15/1986 0:30 +Lubbock,,OTHER,TX,4/15/1986 15:00 +Hayward,,DISK,CA,4/15/1986 17:00 +Lafayette,,LIGHT,LA,4/15/1986 21:50 +Marysville,,,CA,4/21/1986 18:30 +Bensalem,,FORMATION,PA,5/1/1986 19:00 +Jefferson,,SPHERE,CO,5/1/1986 19:00 +Vine Grove,,OVAL,KY,5/1/1986 21:00 +Fortuna,,TRIANGLE,CA,5/4/1986 12:30 +Crab Orchard,BLUE,LIGHT,KY,5/10/1986 21:30 +Dade City,,TRIANGLE,FL,5/12/1986 20:45 +Midwest City,,,OK,5/15/1986 2:00 +Jefferson,RED,SPHERE,CO,5/15/1986 8:00 +New York City,,CHEVRON,NY,5/15/1986 17:40 +Tompkinsville,,TRIANGLE,KY,5/15/1986 22:00 +Trimmer,,VARIOUS,CA,5/18/1986 20:30 +Adak,,LIGHT,AK,6/1/1986 0:00 +South Windsor,,CIRCLE,CT,6/1/1986 0:00 +Euclid,,OTHER,OH,6/1/1986 1:00 +Atlanta,ORANGE,SPHERE,GA,6/1/1986 2:00 +Schertz,,OVAL,TX,6/1/1986 3:00 +Plainview,,EGG,TX,6/1/1986 5:00 +Los Angeles,,TRIANGLE,CA,6/1/1986 12:00 +Flint,,,MI,6/1/1986 19:00 +Greenbelt,,,MD,6/1/1986 19:00 +New York City,,TRIANGLE,NY,6/1/1986 19:00 +Port Isable,,CIRCLE,TX,6/1/1986 20:00 +Milpitas,,LIGHT,CA,6/1/1986 22:00 +Tawas City,,TRIANGLE,MI,6/1/1986 22:00 +Jay,,,FL,6/1/1986 23:00 +Memphis,,TRIANGLE,TN,6/1/1986 23:00 +New Orleans,,LIGHT,LA,6/1/1986 23:00 +Brooksville,,OTHER,FL,6/6/1986 1:00 +St. Louis,,,MO,6/6/1986 16:30 +Panama City,,OTHER,FL,6/7/1986 19:00 +Conroe,,DISK,TX,6/7/1986 22:00 +Louisville,,CIGAR,KY,6/9/1986 16:00 +Severn,,TRIANGLE,MD,6/10/1986 21:00 +Colorado Springs,,SPHERE,CO,6/14/1986 18:30 +Allegan,,OTHER,MI,6/14/1986 19:00 +New Rochelle,RED,TRIANGLE,NY,6/14/1986 20:00 +Fairdale,,,WV,6/15/1986 0:00 +Gary,,OTHER,IN,6/15/1986 3:00 +Chilton,,TRIANGLE,WI,6/15/1986 13:00 +Milan,,DISK,OH,6/15/1986 16:00 +Princeton,,OTHER,SC,6/15/1986 21:00 +Ontario,,OTHER,CA,6/15/1986 22:30 +Gary,GREEN,,IN,6/15/1986 23:30 +Tucson,,FIREBALL,AZ,6/20/1986 17:30 +Teller,RED GREEN,OVAL,AK,6/20/1986 23:30 +Kentucy Lake area,,TRIANGLE,KY,6/21/1986 0:00 +Shelton,,CIRCLE,WA,6/25/1986 3:15 +Tampa,,LIGHT,FL,6/29/1986 1:30 +Jonesboro,,DISK,AR,6/30/1986 12:00 +Seattle,,OTHER,WA,6/30/1986 14:00 +Glidden,,DISK,IA,7/1/1986 16:00 +Nevada City,,DISK,CA,7/1/1986 19:00 +Fairfield,,CIGAR,IA,7/2/1986 20:00 +Louisville,,CIRCLE,KY,7/4/1986 22:00 +Lincoln,,LIGHT,NE,7/4/1986 23:30 +Bayside,,DIAMOND,NY,7/5/1986 21:00 +Waynesburg,,DIAMOND,PA,7/13/1986 17:00 +Phoenix,,FIREBALL,AZ,7/13/1986 18:00 +Chicago,,OVAL,IL,7/15/1986 3:00 +Las Vegas,,VARIOUS,NM,7/15/1986 7:30 +Lake Elsinore,,DISK,CA,7/15/1986 11:00 +Palos Verdes Peninsula,,RECTANGLE,CA,7/15/1986 17:30 +Albuquerque,,CHEVRON,NM,7/15/1986 19:30 +Smith,RED,,KY,7/15/1986 21:00 +East Sparta,,OTHER,OH,7/15/1986 22:00 +Pecos,,OTHER,NM,7/15/1986 22:00 +Tucson,,LIGHT,AZ,7/20/1986 1:00 +San Marcos,RED YELLOW BLUE,RECTANGLE,TX,7/20/1986 3:30 +New Haven,,TRIANGLE,CT,7/20/1986 23:30 +Apple Valley,,TRIANGLE,CA,7/23/1986 19:00 +Austin,,OVAL,TX,7/30/1986 16:00 +Kingwood,,DIAMOND,TX,7/31/1986 21:00 +Lawton,,DIAMOND,MI,8/1/1986 0:00 +Page,,SPHERE,AZ,8/1/1986 0:00 +Lubbock,,RECTANGLE,TX,8/1/1986 15:00 +Marcellus,,TRIANGLE,MI,8/1/1986 20:00 +Jamestown,,TRIANGLE,OH,8/1/1986 22:00 +Bankson Lake,,TRIANGLE,MI,8/1/1986 22:30 +Tuolumne,RED,DISK,CA,8/2/1986 23:00 +Harrisonburg,,,LA,8/4/1986 0:00 +Hutchinson,,TRIANGLE,KS,8/6/1986 2:00 +Girard,,FIREBALL,OH,8/8/1986 1:30 +Russells Point,,TRIANGLE,OH,8/13/1986 23:00 +Inez,,CHEVRON,KY,8/14/1986 11:55 +Ogden,,CIGAR,UT,8/15/1986 13:30 +Spokane,,TRIANGLE,WA,8/15/1986 18:00 +Stillwater,,,OK,8/15/1986 21:30 +Seattle,RED,DISK,WA,8/15/1986 22:00 +Newberg,,TRIANGLE,OR,8/15/1986 23:25 +Decatur,,SPHERE,IN,8/15/1986 23:55 +Del Rio,,TRIANGLE,TX,8/16/1986 21:00 +Myrtle Beach,,SPHERE,SC,8/20/1986 0:30 +Anchorage,,DISK,AK,8/20/1986 2:00 +Eldon,RED,OTHER,MO,8/20/1986 22:00 +Danville,,TRIANGLE,VA,8/24/1986 0:00 +Maysville,,TRIANGLE,GA,9/1/1986 0:00 +Oak Harbor,,OTHER,WA,9/1/1986 15:00 +Virginia Beach,,,VA,9/1/1986 20:00 +Calypso,RED YELLOW,SPHERE,NC,9/11/1986 22:00 +New York City,,SPHERE,NY,9/15/1986 3:00 +Tyler,,OTHER,TX,9/15/1986 20:00 +Calypso,RED YELLOW,OTHER,NC,9/15/1986 22:00 +Redding,RED,CIGAR,CA,9/15/1986 22:30 +Wingdale,,OTHER,NY,9/15/1986 22:30 +New Ellington,,OTHER,SC,9/16/1986 18:00 +Owensboro,,CYLINDER,KY,9/18/1986 16:00 +Colts Neck,,FIREBALL,NJ,9/18/1986 20:30 +Portsmouth,,,VA,9/19/1986 19:00 +Tucson,BLUE,,AZ,9/20/1986 23:50 +Jasper,,TRIANGLE,GA,9/21/1986 6:30 +Fredericksburg,ORANGE,TRIANGLE,VA,9/22/1986 16:00 +Klamath Falls,,CIRCLE,OR,10/1/1986 1:00 +N. Ridgeville,GREEN,TRIANGLE,OH,10/1/1986 22:00 +Wheeling,,LIGHT,WV,10/1/1986 22:00 +Bakersfield,,CIRCLE,CA,10/3/1986 21:00 +Cresson,ORANGE GREEN,DISK,PA,10/3/1986 21:00 +Holmes,,CHEVRON,NY,10/10/1986 20:00 +San Jose,GREEN,LIGHT,CA,10/14/1986 20:30 +Orangeburg,,CYLINDER,SC,10/15/1986 2:00 +Salem,,CIGAR,OR,10/15/1986 2:30 +Pinson,ORANGE,CIRCLE,AL,10/15/1986 14:00 +Bellevue,ORANGE,DISK,WA,10/15/1986 18:00 +Knoxville,,DISK,TN,10/15/1986 19:00 +Petaluma,,DISK,CA,10/15/1986 19:00 +Ridgecrest,,DISK,CA,10/15/1986 19:20 +Fayettville,,DIAMOND,TN,10/15/1986 21:00 +Onyx,,FIREBALL,CA,10/15/1986 22:00 +Eglin AFB,,DISK,FL,10/17/1986 17:00 +Bartlesville,,OTHER,OK,10/17/1986 18:00 +Raleigh,,TRIANGLE,NC,10/20/1986 19:00 +Selma,,LIGHT,NC,10/22/1986 22:00 +Decatur,,TRIANGLE,IA,10/26/1986 13:30 +Decatur City,,TRIANGLE,IA,10/30/1986 13:30 +Riverdale,,OTHER,GA,10/31/1986 3:00 +Landaff,,TRIANGLE,NH,11/1/1986 22:50 +Martinsburg,,OVAL,WV,11/1/1986 23:45 +Arvada,BLUE,SPHERE,CO,11/3/1986 20:30 +Grass Valley,,DISK,CA,11/10/1986 23:55 +Ft. Richardson,,,AK,11/15/1986 0:00 +Girdwood,ORANGE,SPHERE,AK,11/15/1986 14:30 +Savannah,,LIGHT,GA,11/15/1986 21:00 +Plains,GREEN,OTHER,MT,11/15/1986 23:00 +North Laguna Beach,,DISK,CA,11/21/1986 18:30 +New Windsor,,TRIANGLE,MD,11/23/1986 5:45 +Ocala,RED,RECTANGLE,FL,12/1/1986 22:00 +Pocahontas,RED,LIGHT,AR,12/12/1986 20:00 +Attleboro,,DISK,MA,12/15/1986 20:30 +Ocala,,TRIANGLE,FL,12/24/1986 22:00 +Pittsburgh,,TRIANGLE,PA,12/27/1986 10:30 +Kaneohe,,CIGAR,HI,12/31/1986 18:00 +Mt. Airy,,FORMATION,NC,12/31/1986 19:00 +Mt. Airy,,TRIANGLE,NC,12/31/1986 19:00 +Houston,,FORMATION,TX,12/31/1986 21:00 +Castro Valley,,OVAL,CA,1/1/1987 0:00 +Salem,RED,SPHERE,OR,1/1/1987 0:00 +El Centro,RED,SPHERE,CA,1/10/1987 17:00 +Montgomery,,CIGAR,AL,1/13/1987 0:00 +Ojai,,,CA,1/15/1987 0:00 +Elkader,,OTHER,IA,1/15/1987 1:45 +Las Vegas,,DISK,NV,1/29/1987 22:00 +East Meadow,,VARIOUS,NY,1/30/1987 13:00 +Kenai,,LIGHT,AK,1/30/1987 21:00 +Black Hawk,RED YELLOW,SPHERE,CO,1/31/1987 17:04 +Lucas,,OTHER,TX,2/1/1987 14:00 +Traverse City,,TRIANGLE,MI,2/3/1987 8:30 +Laurel Springs,,RECTANGLE,NJ,2/6/1987 13:00 +Bessemer,,,AL,2/20/1987 1:30 +Revere,,LIGHT,MA,3/1/1987 1:00 +Weaverville,,TRIANGLE,NC,3/1/1987 19:00 +Evansville,,LIGHT,IN,3/5/1987 3:00 +Ghent,,EGG,WV,3/8/1987 12:27 +Medford,,FORMATION,NY,3/10/1987 20:00 +Scottsdale,,LIGHT,AZ,3/15/1987 3:00 +New York City,,CHEVRON,NY,3/17/1987 21:00 +Apache Junction,,VARIOUS,AZ,3/23/1987 0:55 +East Helena,,TRIANGLE,MT,3/31/1987 23:00 +Stamps,,CHEVRON,AR,4/1/1987 18:00 +Malibu,,FIREBALL,CA,4/1/1987 21:30 +Lawrenceville,,OTHER,NJ,4/9/1987 19:20 +New York City,,TRIANGLE,NY,4/10/1987 13:00 +Carolina Beach,,CIGAR,NC,4/11/1987 22:00 +Butler,,OTHER,PA,4/14/1987 12:00 +Seal Rock,,SPHERE,OR,4/15/1987 16:00 +Clearwater,,OTHER,FL,4/16/1987 15:30 +American Fork,,FORMATION,UT,4/17/1987 12:00 +Carolina Beach,,CIGAR,NC,4/19/1987 22:30 +Hibbing,,CIRCLE,MN,4/21/1987 22:30 +Rockford,ORANGE,SPHERE,IL,4/22/1987 23:30 +Redmond,RED,CIGAR,WA,4/23/1987 20:30 +Seattle,ORANGE,VARIOUS,WA,4/24/1987 20:15 +Winslow,,,ME,5/1/1987 23:00 +Natick,,DISK,MA,5/5/1987 21:00 +El Paso,,DISK,TX,5/6/1987 18:15 +Marble Falls,,CIRCLE,TX,5/8/1987 0:00 +Selden,,OTHER,NY,5/10/1987 23:30 +Wales,,LIGHT,NY,5/10/1987 23:30 +Whitesburg,,RECTANGLE,KY,5/14/1987 20:45 +Las Vegas,,OVAL,NV,5/15/1987 0:30 +Island Lake,RED,LIGHT,IL,5/15/1987 23:00 +Temple,,CIGAR,TX,5/15/1987 23:00 +Evansville,,OTHER,IN,5/18/1987 22:30 +Galveston,,VARIOUS,TX,5/20/1987 2:00 +Mcpherson,,TRIANGLE,KS,5/20/1987 22:00 +San Antonio,,DISK,TX,5/21/1987 2:00 +Schenectady,,CHEVRON,NY,5/28/1987 19:00 +Burnside,,CIRCLE,KY,5/28/1987 20:30 +Iowa,,,LA,6/1/1987 0:00 +Kittery,,,ME,6/1/1987 0:00 +Coos Bay,,DISK,OR,6/1/1987 1:00 +San Francisco,,OTHER,CA,6/1/1987 2:30 +Olympia,,EGG,WA,6/1/1987 3:00 +Miami,,LIGHT,FL,6/1/1987 6:00 +Las Vegas,,,NV,6/1/1987 6:45 +New York City,RED,CIGAR,NY,6/1/1987 15:00 +Redding,,,CA,6/1/1987 16:00 +Segno,,DISK,TX,6/1/1987 16:00 +Ithaca,,OTHER,MI,6/1/1987 17:00 +Syracuse,RED GREEN,OVAL,NY,6/1/1987 19:00 +Gladstone,,DISK,MO,6/1/1987 19:30 +Minford,,FLASH,OH,6/1/1987 20:00 +Putnam Valley,,FORMATION,NY,6/1/1987 21:00 +Kansas,BLUE,FIREBALL,KS,6/1/1987 22:00 +Little Rock,,FORMATION,AR,6/1/1987 22:00 +Jackson Hole,,LIGHT,WY,6/7/1987 21:00 +Jackson,,DIAMOND,MS,6/10/1987 7:00 +Joplin,,DISK,MO,6/10/1987 22:30 +Sarasota,,DISK,FL,6/11/1987 9:00 +Middlebury,,DISK,CT,6/11/1987 21:00 +Pittsburg,,,KS,6/12/1987 1:00 +Depere,,,WI,6/12/1987 21:00 +Cedarburg,RED,FORMATION,WI,6/13/1987 1:30 +Londonderry,,OTHER,NH,6/15/1987 1:00 +Bullhead City,,FIREBALL,AZ,6/15/1987 18:30 +Burlington,,FIREBALL,CT,6/15/1987 20:00 +Miamisburg,,TRIANGLE,OH,6/18/1987 23:15 +Auburn,,FIREBALL,MA,6/20/1987 9:30 +Gettysburg,,,PA,6/21/1987 23:00 +Summerfield,,LIGHT,OK,6/23/1987 1:30 +Pahrump,,OTHER,NV,6/25/1987 23:00 +Crofton,,DISK,MD,6/30/1987 0:00 +Muskegon,,LIGHT,MI,6/30/1987 2:30 +Irma,,OVAL,WI,6/30/1987 4:45 +Canton,,LIGHT,OH,6/30/1987 15:00 +Osceola County,,OTHER,FL,6/30/1987 16:00 +Hancock,,TRIANGLE,MD,6/30/1987 19:00 +Palm Springs,,,CA,6/30/1987 19:00 +St. Cloud,,OTHER,FL,6/30/1987 21:00 +Thomaston,,CIRCLE,GA,7/1/1987 0:30 +Marshville,,OTHER,NC,7/1/1987 1:00 +San Pedro,,TRIANGLE,CA,7/1/1987 3:00 +Cherokee Village,,CYLINDER,AR,7/1/1987 16:00 +Lost Park,RED,SPHERE,CO,7/1/1987 20:00 +Erie,,TRIANGLE,PA,7/3/1987 20:00 +Frankford,,LIGHT,MO,7/4/1987 22:00 +Neenah,,OTHER,WI,7/7/1987 1:00 +Salina,,SPHERE,KS,7/7/1987 23:30 +Rockford,,TRIANGLE,IL,7/10/1987 22:05 +White Bear Lake,,DISK,MN,7/12/1987 15:00 +Sacramento,,OTHER,CA,7/14/1987 1:30 +Teller,,DISK,AK,7/15/1987 1:30 +Richton,,OTHER,MS,7/15/1987 2:00 +San Juan Capistrano,YELLOW,LIGHT,CA,7/15/1987 2:00 +Arkansas,,LIGHT,AR,7/15/1987 3:00 +Houston,,SPHERE,TX,7/15/1987 13:00 +Beaver Dam,,OTHER,WI,7/15/1987 20:00 +Dyersburg,,CIRCLE,TN,7/15/1987 20:30 +Lakeville,,CHEVRON,CT,7/15/1987 21:00 +Collinsville,,TRIANGLE,AL,7/15/1987 22:30 +Alton,,DISK,IL,7/15/1987 23:00 +Somerset,,RECTANGLE,KY,7/16/1987 21:45 +Rome,,SPHERE,GA,7/18/1987 21:30 +Jackman,,SPHERE,ME,7/20/1987 18:00 +Piscataway,,OTHER,NJ,7/20/1987 21:00 +Windsor,,CIGAR,MO,7/20/1987 23:59 +Gypsum,,OVAL,CO,7/21/1987 11:00 +New York City,,OVAL,NY,7/21/1987 23:00 +Seattle,,TRIANGLE,WA,7/22/1987 10:15 +Scottsdale,RED GREEN BLUE,,AZ,7/23/1987 0:15 +Lawton,,,OK,7/25/1987 2:00 +Tucson,,FLASH,AZ,7/28/1987 15:00 +Asheville,,LIGHT,NC,7/30/1987 21:20 +Indianapolis,RED,LIGHT,IN,8/1/1987 0:00 +Carlsbad,,DIAMOND,CA,8/1/1987 22:00 +Live Oak,,FIREBALL,FL,8/1/1987 22:00 +Crescent Junction,,OTHER,UT,8/6/1987 3:30 +Applegate,,,CA,8/11/1987 23:00 +Neosho,,RECTANGLE,MO,8/11/1987 23:00 +Springfield,,TRIANGLE,OH,8/13/1987 21:00 +Kitsap County,,LIGHT,WA,8/15/1987 0:00 +Marina,,OTHER,CA,8/15/1987 1:00 +no data,,TRIANGLE,NE,8/15/1987 1:30 +Bremen,,DISK,GA,8/15/1987 2:00 +Bessmer,GREEN,LIGHT,MI,8/15/1987 2:30 +Rte 7,,CHEVRON,VT,8/15/1987 2:30 +Chino Valley,,SPHERE,AZ,8/15/1987 16:00 +Bellefontaine,,RECTANGLE,OH,8/15/1987 19:00 +Brookline,,TRIANGLE,MA,8/15/1987 22:30 +Olancha,,DISK,CA,8/15/1987 22:30 +Springfield,,CIGAR,OR,8/17/1987 2:00 +San Diego,,DISK,CA,8/17/1987 2:30 +Jakes Corners,,LIGHT,AZ,8/17/1987 19:00 +Los Alamos,RED,CHEVRON,CA,8/17/1987 20:00 +Lincoln,,DISK,IL,8/18/1987 22:00 +Cedar Springs,RED,CIRCLE,MI,8/20/1987 1:00 +Port Aransas,,TRIANGLE,TX,8/20/1987 2:00 +Hastings On Hudson,,TRIANGLE,NY,8/20/1987 20:00 +Tallahassee,,CHEVRON,FL,8/20/1987 21:00 +Crown Point,,DISK,IN,8/20/1987 23:00 +Southbridge,,LIGHT,MA,8/22/1987 20:00 +Panorama City,,OTHER,CA,9/1/1987 0:00 +Hewlett,,DISK,NY,9/1/1987 20:00 +Conway,RED YELLOW,CYLINDER,AR,9/10/1987 18:00 +Liverpool,,CIGAR,NY,9/15/1987 7:30 +River Hills,,,WI,9/15/1987 20:00 +Yankton,,TRIANGLE,SD,9/15/1987 21:00 +Tulare,,LIGHT,CA,9/15/1987 23:00 +Spokane,,DISK,WA,9/16/1987 21:21 +Lima,,RECTANGLE,OH,9/18/1987 23:00 +Santa Fe,,,NM,9/20/1987 16:00 +Alvarado,,LIGHT,TX,9/25/1987 18:00 +West Palm Beach,,,FL,10/1/1987 1:00 +Roseburg,ORANGE,OVAL,OR,10/1/1987 20:00 +Alstead,,FIREBALL,NH,10/1/1987 21:00 +Louisburg,,TRIANGLE,NC,10/1/1987 23:00 +Wappingers Falls,,,NY,10/1/1987 23:00 +Wytheville,RED,LIGHT,VA,10/8/1987 23:00 +Minnetonka,,LIGHT,MN,10/11/1987 21:30 +Otto,BLUE,FIREBALL,MO,10/11/1987 23:59 +Raleigh,,TRIANGLE,NC,10/15/1987 2:00 +Burnet,,DISK,TX,10/15/1987 16:00 +Bolingbrook,,TRIANGLE,IL,10/15/1987 20:00 +Itta Bena,,CIRCLE,MS,10/15/1987 21:00 +Osawatomie,,OTHER,KS,10/15/1987 21:00 +Yonkers,,RECTANGLE,NY,10/15/1987 21:00 +Eastchester,,TRIANGLE,NY,10/15/1987 22:00 +Baker,,LIGHT,MT,10/15/1987 22:30 +Portsmouth,,CIGAR,NH,10/22/1987 20:00 +Fort Wayne,,,IN,10/26/1987 0:00 +Jackson,RED ORANGE,FORMATION,WI,10/26/1987 23:00 +Las Cruces,,VARIOUS,NM,10/28/1987 20:30 +Kerens,,CIRCLE,TX,10/29/1987 23:30 +Pleasant Hill,ORANGE,SPHERE,CA,10/30/1987 22:00 +Omaha,,TRIANGLE,AR,10/31/1987 18:30 +Dallas,,LIGHT,NC,11/1/1987 4:00 +Daytona Beach,,CYLINDER,FL,11/1/1987 20:00 +Lyons,,OVAL,CO,11/1/1987 22:00 +San Diego,,FLASH,CA,11/15/1987 2:00 +St. Petersburg,,RECTANGLE,FL,11/15/1987 19:30 +Reedsville,,TRIANGLE,WI,11/15/1987 22:00 +Crivitz,,,WI,11/15/1987 23:00 +Anchorage,,LIGHT,AK,11/17/1987 6:00 +Uvalde,RED GREEN,CIRCLE,TX,11/20/1987 21:30 +Knoxville,,CHEVRON,TN,11/23/1987 19:45 +Firebaugh,,TRIANGLE,CA,11/23/1987 23:00 +Tehachapi,,,CA,11/26/1987 6:30 +El Paso,,OVAL,TX,11/27/1987 17:30 +Lake Ozark,GREEN,CIGAR,MO,12/12/1987 21:00 +Mapelton,,CONE,IL,12/13/1987 1:00 +Tampa,,,FL,12/20/1987 1:00 +Las Vegas,RED,LIGHT,NV,12/20/1987 17:15 +Ocala,RED,TRIANGLE,FL,12/23/1987 22:00 +Exeter,,RECTANGLE,RI,12/24/1987 20:00 +Woodbridge,ORANGE,SPHERE,VA,12/31/1987 23:00 +Roselle,ORANGE,TRIANGLE,IL,1/1/1988 3:00 +Kenner,,CIRCLE,LA,1/1/1988 17:00 +Ellington,,TRIANGLE,CT,1/9/1988 23:00 +Williamsfield,YELLOW,,IL,1/10/1988 22:10 +Cambridge,,OVAL,MA,1/12/1988 3:30 +Little Rock,,OTHER,AR,1/15/1988 18:00 +Vandalia,,TRIANGLE,MO,1/15/1988 23:00 +Kingsville,GREEN,RECTANGLE,OH,1/17/1988 2:00 +Stonewall,,LIGHT,OK,1/18/1988 20:00 +Duluth,,TRIANGLE,MN,1/25/1988 4:00 +Houma,,DISK,LA,2/5/1988 15:00 +Brooklyn Park,,CYLINDER,MN,2/8/1988 0:10 +Indian Springs,,OVAL,AL,2/15/1988 2:30 +Huntsville,,OTHER,AL,2/15/1988 21:00 +Brandon,,LIGHT,FL,2/25/1988 21:00 +In flight,,,CO,3/1/1988 12:00 +New Brighton,,VARIOUS,PA,3/5/1988 16:30 +Shell Beach,,FIREBALL,CA,3/6/1988 3:00 +Powhatan,,TRIANGLE,VA,3/8/1988 5:20 +Quinton,,CIRCLE,VA,3/11/1988 0:00 +Klondyke,,CONE,AZ,3/15/1988 0:00 +Yuma,,LIGHT,AZ,3/15/1988 2:00 +Rock Hill,,CIRCLE,SC,3/15/1988 6:00 +Wataga,GREEN,DISK,IL,3/15/1988 10:00 +Gallup,,CYLINDER,NM,3/15/1988 19:30 +New York City,,OVAL,NY,3/17/1988 19:30 +Ossining,,EGG,NY,3/17/1988 20:00 +Pleasantville,,EGG,NY,3/17/1988 22:00 +Brunswick,GREEN,,ME,4/4/1988 2:00 +Akron,,LIGHT,OH,4/4/1988 23:30 +Pleasant Hill,,DISK,MO,4/12/1988 16:00 +Wasilla,,DISK,AK,4/15/1988 7:00 +Bremerton,,DISK,WA,4/15/1988 14:00 +Yuma,,OTHER,AZ,4/15/1988 19:00 +Dallas,,LIGHT,TX,4/26/1988 23:00 +Lincoln,,CIRCLE,MO,4/30/1988 0:00 +McNeill,,CIGAR,MS,4/30/1988 22:00 +Cleveland,,CIRCLE,OH,5/1/1988 16:00 +Houston,,,TX,5/1/1988 21:00 +Ray Center,,DISK,MI,5/1/1988 21:00 +Virginia Beach,,,VA,5/5/1988 22:15 +Allison Park,,SPHERE,PA,5/15/1988 8:00 +Edgewood,,SPHERE,MD,5/15/1988 15:00 +Kendallville,,TRIANGLE,IN,5/15/1988 21:00 +Chicago,,CHEVRON,IL,5/17/1988 19:45 +Wheeler,,LIGHT,TX,5/20/1988 20:00 +Ada,,CIGAR,MN,5/24/1988 14:00 +Valentine,,OTHER,TX,6/1/1988 0:00 +Corbin,,DISK,KY,6/1/1988 1:00 +Davis,,LIGHT,OK,6/1/1988 1:00 +Live Oak,GREEN,LIGHT,FL,6/1/1988 1:00 +Tamarac,,EGG,FL,6/1/1988 2:00 +Ironton,,,OH,6/1/1988 3:00 +Trinity village,,,CA,6/1/1988 4:00 +Sebastopol,RED,CIRCLE,CA,6/1/1988 15:30 +Venice Beach,ORANGE,,FL,6/1/1988 18:00 +Mankato,ORANGE,OTHER,MN,6/1/1988 19:00 +North East Orlando,,DISK,FL,6/1/1988 19:00 +Buras,,DISK,LA,6/1/1988 19:30 +Carrollton,,CIRCLE,MS,6/1/1988 20:00 +Blythe,,FORMATION,CA,6/1/1988 21:00 +Potomac,ORANGE,CIRCLE,MD,6/1/1988 21:00 +St. Augustine,,SPHERE,FL,6/1/1988 21:00 +Albuquerque,,SPHERE,NM,6/1/1988 21:30 +Walnut Creek,,,CA,6/1/1988 22:00 +Lackawanna,,,NY,6/1/1988 23:00 +Lakeline,,LIGHT,OH,6/1/1988 23:00 +Owego,RED,DISK,NY,6/10/1988 2:00 +Eden Prairie,,LIGHT,MN,6/10/1988 3:00 +Atlanta,,OTHER,GA,6/10/1988 12:00 +Pensacola,,LIGHT,FL,6/10/1988 22:00 +Omaha,,OVAL,NE,6/10/1988 22:30 +Carrollton,,CROSS,TX,6/14/1988 21:45 +Wilmington,,,IL,6/15/1988 0:00 +Westfall,RED,,PA,6/15/1988 1:00 +Los Angeles,,DIAMOND,CA,6/15/1988 21:00 +Julian,,OTHER,CA,6/15/1988 21:30 +Budd Lake,,TRIANGLE,NJ,6/15/1988 22:00 +North Freedom,,CYLINDER,WI,6/15/1988 23:00 +Jonesboro,,LIGHT,IN,6/18/1988 23:30 +Canton,,CIRCLE,GA,6/19/1988 3:00 +In-flight,,,NV,6/19/1988 5:30 +Woburn,,LIGHT,MA,6/20/1988 1:00 +Conroe,,FIREBALL,TX,6/20/1988 17:30 +Columbia,,OVAL,PA,6/20/1988 20:00 +Napa,RED,CHEVRON,CA,6/26/1988 16:00 +Phoenix,,,AZ,6/30/1988 1:00 +Pittsburgh,,TRIANGLE,PA,6/30/1988 3:00 +Frederid,,CIGAR,WI,6/30/1988 6:30 +Saline Valley,,SPHERE,CA,6/30/1988 11:00 +Harrison,,TRIANGLE,AR,6/30/1988 19:00 +Louisville,,CIRCLE,KY,6/30/1988 23:15 +North Pole,,,AK,7/1/1988 0:00 +Norwood,,CIRCLE,MO,7/1/1988 0:00 +Show Low,,,AZ,7/1/1988 1:00 +Baker,,LIGHT,CA,7/1/1988 13:00 +Tucson,,TRIANGLE,AZ,7/1/1988 13:00 +Yardley,,TRIANGLE,PA,7/1/1988 19:30 +Tucson,,TRIANGLE,AZ,7/1/1988 21:30 +Sarnia,BLUE,LIGHT,MO,7/1/1988 22:00 +Arcadia,,RECTANGLE,CA,7/1/1988 23:30 +Socorro,,TRIANGLE,NM,7/2/1988 2:30 +Morganton,,SPHERE,NC,7/4/1988 12:30 +Jacksonville,,TRIANGLE,FL,7/4/1988 21:00 +Rome,,SPHERE,NY,7/5/1988 0:30 +Denton,,RECTANGLE,TX,7/7/1988 22:00 +Monroe,,OTHER,WA,7/10/1988 21:00 +Fort Wayne,,OVAL,IN,7/14/1988 1:00 +Corona,,CROSS,NM,7/15/1988 0:00 +Connell,,OVAL,WA,7/15/1988 2:00 +Van Nuys,ORANGE,SPHERE,CA,7/15/1988 2:00 +Benson Landing,,,VT,7/15/1988 3:00 +Benson Landing,,,VT,7/15/1988 3:00 +Redding,,OTHER,CT,7/15/1988 18:00 +Corpus Christi,,CIRCLE,TX,7/15/1988 22:00 +Malibu,,OTHER,CA,7/16/1988 1:15 +San Jacinto Mountain,,SPHERE,CA,7/16/1988 14:00 +Whittier,,EGG,CA,7/16/1988 23:45 +Houston,,OVAL,TX,7/19/1988 22:00 +Fairfax,RED ORANGE,DISK,VA,7/20/1988 22:00 +Lousville,,LIGHT,KY,7/22/1988 10:45 +Cape Canaveral,,RECTANGLE,FL,7/26/1988 22:00 +Ft. Stewart,,LIGHT,GA,8/1/1988 0:00 +Rachel,,DISK,NV,8/1/1988 1:30 +North Hampton,,RECTANGLE,NH,8/1/1988 2:00 +Tecate,,LIGHT,CA,8/1/1988 5:30 +Bastrop,,SPHERE,TX,8/1/1988 11:00 +West New York,,SPHERE,NJ,8/1/1988 13:30 +Sacramento,,DISK,CA,8/1/1988 19:00 +Danbury,,CIRCLE,CT,8/1/1988 22:00 +Holbrook,,CIRCLE,NY,8/1/1988 23:00 +Clinton,,CIRCLE,MS,8/2/1988 20:00 +Posen,,FIREBALL,MI,8/5/1988 23:00 +Basking Ridge,,CHEVRON,NJ,8/7/1988 15:30 +Shobonier,,OTHER,IL,8/8/1988 18:00 +Plymouth,,TRIANGLE,OH,8/8/1988 22:00 +Benton,,SPHERE,ME,8/8/1988 23:00 +Denver,,OTHER,CO,8/10/1988 0:05 +Whitmire,,OTHER,SC,8/10/1988 6:00 +Jamesville,BLUE,LIGHT,NY,8/10/1988 16:08 +Johnstown,,TRIANGLE,PA,8/10/1988 22:30 +Union,,DISK,SC,8/12/1988 19:00 +Methuen,,,MA,8/13/1988 2:00 +Union,,DISK,SC,8/15/1988 0:00 +St. Charles,,OVAL,MO,8/15/1988 1:00 +Walker Valle,,,NY,8/15/1988 14:00 +Highlands,,RECTANGLE,NC,8/15/1988 21:00 +Mendham,ORANGE,FIREBALL,NJ,8/15/1988 21:30 +Azucena,,DIAMOND,LA,8/15/1988 22:00 +Ceres,,TRIANGLE,CA,8/15/1988 22:00 +Seabrook,,TRIANGLE,NH,8/15/1988 22:00 +Sutcliff,,,NV,8/15/1988 22:00 +West Milford,,LIGHT,NJ,8/15/1988 22:30 +Buchanan,,CIRCLE,NY,8/15/1988 23:00 +Harvey,,OTHER,MI,8/18/1988 14:45 +Splendora,,SPHERE,TX,8/20/1988 0:00 +Porterville,,,CA,8/20/1988 4:00 +Clayton,,SPHERE,NC,8/20/1988 19:30 +New York City,,SPHERE,NY,8/20/1988 22:00 +Farmington,YELLOW,,NM,8/20/1988 23:00 +Neb.-Mo. Line,,FIREBALL,MO,8/21/1988 20:00 +Las Vegas,,,NV,8/30/1988 6:00 +Carlsberg,,DISK,WA,9/1/1988 5:30 +Roswell,,DISK,NM,9/1/1988 17:30 +Yukon,,LIGHT,OK,9/1/1988 20:00 +Vaughn,,,NM,9/1/1988 21:00 +Harvard,,SPHERE,MA,9/3/1988 15:30 +Dolly Sods Wilderness Area,,CIGAR,WV,9/9/1988 21:50 +Oakvale,,CYLINDER,WV,9/12/1988 23:30 +Darlington,,,LA,9/15/1988 3:00 +Riverside,,FLASH,CA,9/20/1988 3:00 +New York City,,CIRCLE,NY,9/20/1988 18:00 +Mansfield,,SPHERE,OH,9/20/1988 22:50 +Detroit,,OVAL,MI,9/21/1988 15:51 +Monroe,,CIRCLE,WI,9/28/1988 21:00 +New Castle,,TRIANGLE,DE,9/30/1988 21:00 +Fishkill,,FORMATION,NY,10/2/1988 22:30 +Vermillion,,RECTANGLE,OH,10/7/1988 21:40 +Milwaukee,,TRIANGLE,WI,10/10/1988 18:00 +New Gloucester,,,ME,10/10/1988 21:00 +Boulder,,LIGHT,CO,10/10/1988 22:00 +Seattle,,,WA,10/10/1988 22:45 +Greers Ferry,,CIRCLE,AR,10/15/1988 0:30 +Bremerton,,CIRCLE,WA,10/15/1988 2:00 +Tacoma,,CIRCLE,WA,10/15/1988 13:00 +Orono,,TRIANGLE,ME,10/15/1988 19:55 +Missouri,,,MO,10/15/1988 20:00 +Pilot Knob,,CIGAR,MO,10/15/1988 20:00 +Belle,,,MO,10/15/1988 20:15 +Loveland,,CHEVRON,CO,10/15/1988 20:30 +Odessa,RED,CIRCLE,TX,10/15/1988 21:00 +Masfield,BLUE,LIGHT,OH,10/15/1988 22:00 +Big Spring,,OTHER,TX,10/15/1988 22:45 +Barnhart,,CYLINDER,NH,10/15/1988 23:30 +Philadelphia,,OVAL,PA,10/16/1988 9:30 +Tinker AFB,,CHEVRON,OK,10/17/1988 3:30 +Charlotte,GREEN,TRIANGLE,MI,10/17/1988 23:00 +Spokane,,VARIOUS,WA,10/20/1988 21:30 +Holmes,,FORMATION,NY,10/21/1988 21:00 +New York City,,SPHERE,NY,10/22/1988 20:30 +Interstate 10,,OVAL,LA,10/22/1988 22:33 +Green River,,CONE,UT,10/22/1988 23:16 +Miami,,LIGHT,FL,10/25/1988 5:00 +Rimini,,DISK,SC,10/26/1988 23:00 +Miami,,,FL,10/28/1988 3:00 +Collinsville,,LIGHT,IL,10/30/1988 22:00 +Tacoma,,DISK,WA,10/31/1988 4:00 +Tryon,ORANGE,TRIANGLE,OK,10/31/1988 22:00 +Clackamas,,CYLINDER,OR,11/1/1988 21:00 +Fort Lewis,,CIRCLE,WA,11/11/1988 19:00 +Sweetwater,GREEN,VARIOUS,TX,11/14/1988 22:30 +Dexter,,DISK,NY,11/15/1988 5:30 +Dexter,,DISK,NY,11/15/1988 5:30 +Dexter,,DISK,NY,11/15/1988 5:30 +Stockton,RED,TRIANGLE,CA,11/15/1988 18:00 +Scaley,,DISK,NC,11/15/1988 22:30 +Tecumseh,,OTHER,OK,11/19/1988 1:30 +Anaheim,,CIRCLE,CA,11/19/1988 18:15 +Anaheim,,DISK,CA,11/19/1988 18:15 +Sunnyvale,,OTHER,CA,11/19/1988 20:30 +El Dorado Hills,,,CA,11/27/1988 1:30 +Alamogordo,,LIGHT,NM,11/27/1988 21:00 +Hickory Plains,,,AR,11/30/1988 4:30 +south of the border,,DISK,NC,12/1/1988 22:00 +Fort Lauderdale,YELLOW,CIRCLE,FL,12/1/1988 23:30 +Hilo,,LIGHT,HI,12/2/1988 22:30 +Ohio City,,DISK,OH,12/14/1988 9:00 +Liberty,,TRIANGLE,NC,12/15/1988 23:30 +Miami to St. Paul,,VARIOUS,IL,12/20/1988 21:00 +Santa Rosa,,VARIOUS,CA,12/22/1988 3:55 +I-10,,,TX,12/23/1988 1:01 +Ovid,,FORMATION,MI,12/23/1988 20:35 +Memphis,,LIGHT,TN,1/1/1989 23:00 +Wagoner,,LIGHT,OK,1/1/1989 23:59 +Philadelphia,,CIGAR,PA,1/5/1989 0:15 +Fort Collins,,LIGHT,CO,1/7/1989 17:32 +Jackson,,FIREBALL,NJ,1/10/1989 23:00 +San Diego,,LIGHT,CA,1/10/1989 23:30 +Wenatchee,,VARIOUS,WA,1/15/1989 15:00 +San Bernardino,,,CA,1/15/1989 22:00 +Laramie,,OTHER,WY,1/17/1989 20:00 +Laramie,,DISK,WY,1/19/1989 20:15 +Bourbonnais,,OTHER,IL,1/20/1989 18:00 +Montgomery,,,IL,1/29/1989 23:00 +Waldorf,,OVAL,MD,2/1/1989 12:00 +Mahogany Hammock,,DISK,FL,2/4/1989 23:30 +Mont Alto,,OVAL,PA,2/10/1989 18:00 +Chicago,,OTHER,IL,2/11/1989 22:00 +Kenosha,,OTHER,WI,2/12/1989 19:00 +Savannah,,OTHER,GA,2/15/1989 5:00 +Shiocton,YELLOW,OTHER,WI,2/15/1989 22:00 +Eastern border,,,UT,2/27/1989 23:00 +Fort Worth,,LIGHT,TX,3/1/1989 1:30 +Marshall Creek,,DISK,PA,3/1/1989 12:15 +Poughkeepsie,,CHEVRON,NY,3/1/1989 20:00 +Yakima,BLUE,,WA,3/1/1989 21:00 +New Lenox,,EGG,IL,3/6/1989 1:00 +Sheridan,,,MT,3/10/1989 22:30 +Houston,,SPHERE,TX,3/12/1989 23:45 +Tulsa,,RECTANGLE,OK,3/15/1989 19:00 +Rockfish,,TRIANGLE,VA,3/15/1989 19:30 +Woodstock,,CIRCLE,GA,3/15/1989 23:30 +Grand Junction,,VARIOUS,CO,4/1/1989 9:30 +Wallops Island,,CYLINDER,VA,4/2/1989 13:00 +Idaho Falls,,RECTANGLE,ID,4/15/1989 3:30 +Mentone,RED,OTHER,CA,4/16/1989 18:00 +New York City,,OTHER,NY,4/19/1989 20:00 +Walnut Cove,RED,TRIANGLE,NC,4/21/1989 1:00 +Port Townsend,,CIGAR,WA,4/23/1989 14:00 +Lemoore,RED,OTHER,CA,5/1/1989 17:00 +Golden Shores,,FORMATION,AZ,5/1/1989 22:00 +Palo,,LIGHT,IA,5/1/1989 22:00 +Tuttle,,FORMATION,OK,5/1/1989 22:00 +Sedona,,OTHER,AZ,5/5/1989 17:00 +Talladega,,RECTANGLE,AL,5/7/1989 11:50 +Richmond,,CIGAR,VA,5/8/1989 14:00 +Tucson,,OTHER,AZ,5/10/1989 11:00 +Wichita Falls,GREEN BLUE,OVAL,TX,5/12/1989 14:30 +Tazewell,,OVAL,VA,5/12/1989 23:00 +Louisiana,,TRIANGLE,LA,5/15/1989 1:00 +Malvern,,TRIANGLE,AR,5/15/1989 1:00 +Tyler,,LIGHT,TX,5/15/1989 2:00 +Hooksett,,,NH,5/15/1989 14:00 +Interstate 40,,CIRCLE,AZ,5/15/1989 20:00 +Barneveld,,TRIANGLE,NY,5/15/1989 21:30 +Manassas,,TRIANGLE,VA,5/15/1989 21:30 +Ridgecrest,,FIREBALL,CA,5/15/1989 22:00 +Kent,,CHEVRON,CT,5/15/1989 22:30 +Quitman,,CIRCLE,MS,5/19/1989 20:00 +San Diego,,OTHER,CA,5/30/1989 16:00 +Baker City,,,OR,5/30/1989 21:00 +Chicago,,FORMATION,IL,6/1/1989 0:00 +New Mexico,,SPHERE,NM,6/1/1989 0:00 +Peoria,,CIRCLE,IL,6/1/1989 0:00 +Whitehouse Station,,DISK,NJ,6/1/1989 0:00 +San Diego,,OTHER,CA,6/1/1989 2:00 +Mansfield,,OTHER,OH,6/1/1989 4:55 +Daytona Beach,ORANGE,SPHERE,FL,6/1/1989 6:50 +Rhinebeck,,CHEVRON,NY,6/1/1989 16:00 +Groveland,,LIGHT,NY,6/1/1989 19:00 +Dallas,,CIGAR,TX,6/1/1989 20:00 +Hilo,,,HI,6/1/1989 20:00 +New Cumberland,,RECTANGLE,PA,6/1/1989 21:00 +Pittsfield,BLUE,DISK,MA,6/1/1989 21:00 +Wheelock,,OTHER,VT,6/1/1989 21:30 +South Elgin,,,IL,6/1/1989 22:00 +Vandalia,,TRIANGLE,MO,6/1/1989 22:00 +Enloe,,TRIANGLE,TX,6/1/1989 23:00 +New York City,,,NY,6/1/1989 23:00 +Roswell,,,NM,6/1/1989 23:00 +Upper Marlboro,,DISK,MD,6/1/1989 23:00 +Macon,,CIRCLE,GA,6/2/1989 21:00 +Hooverson Heights,,OTHER,WV,6/7/1989 22:00 +Sacramento,,OTHER,CA,6/11/1989 18:40 +Port Isabel,,DISK,TX,6/12/1989 17:00 +Houston,,OTHER,TX,6/12/1989 22:30 +Kansas City,,VARIOUS,MO,6/15/1989 0:00 +Point Pleasant,,,WV,6/15/1989 2:00 +Orem,BLUE,FORMATION,UT,6/15/1989 18:15 +Bakersfield,,DISK,CA,6/15/1989 20:00 +Brockton,,DISK,MA,6/15/1989 20:00 +Rancho,,,CA,6/15/1989 20:00 +Pensacola,,,FL,6/15/1989 20:30 +Patten,,TRIANGLE,ME,6/15/1989 21:00 +Cashmere,,,WA,6/15/1989 22:00 +Severna Park,,,MD,6/20/1989 1:00 +Albuquerque,,FORMATION,NM,6/20/1989 22:45 +Palm City,GREEN,LIGHT,FL,6/23/1989 22:00 +Sparta,,LIGHT,TN,6/25/1989 23:59 +Des Moines,,DISK,IA,6/30/1989 1:00 +Fort Jackson,,TRIANGLE,SC,6/30/1989 1:00 +Rathdrum,,SPHERE,CO,6/30/1989 16:00 +Banning,,TRIANGLE,CA,6/30/1989 21:00 +Ellenville,,OTHER,NY,6/30/1989 21:00 +Coolidge,,TRIANGLE,AZ,6/30/1989 21:30 +None,,OTHER,CO,6/30/1989 22:30 +Hebo,ORANGE,SPHERE,OR,7/1/1989 1:00 +Cedar Rapids,,TRIANGLE,IA,7/1/1989 3:30 +Laramie,,OTHER,WY,7/1/1989 14:00 +Green Bay,,CIRCLE,WI,7/1/1989 15:00 +Tupelo,GREEN,DISK,MS,7/1/1989 21:00 +Berkshire,,CHEVRON,NY,7/1/1989 21:30 +Stony Point,,TRIANGLE,NY,7/1/1989 22:00 +Lovell,,TRIANGLE,ME,7/1/1989 23:00 +Lawrence,,CHEVRON,KS,7/3/1989 22:30 +Belleville,,TRIANGLE,KS,7/3/1989 23:00 +Morganton,,SPHERE,NC,7/4/1989 12:30 +Los Angelas,,DISK,CA,7/4/1989 21:00 +Loveland,,CIGAR,CO,7/5/1989 23:30 +Waterford,,LIGHT,MI,7/6/1989 2:30 +Blyth,,RECTANGLE,AZ,7/7/1989 1:30 +Destin,RED,FIREBALL,FL,7/9/1989 7:00 +Beardstown,,CIRCLE,IL,7/9/1989 20:20 +Daytona Beach,GREEN,OTHER,FL,7/10/1989 0:00 +Mansfield,,LIGHT,OH,7/10/1989 23:00 +Sea Isle,,SPHERE,NJ,7/12/1989 5:00 +Defiance,,TRIANGLE,OH,7/15/1989 1:30 +Fire Mountain,,TRIANGLE,NV,7/15/1989 3:00 +St. Clair Shores,,SPHERE,MI,7/15/1989 6:00 +Avilla,RED,TRIANGLE,AR,7/15/1989 20:00 +Fresno,,FIREBALL,CA,7/15/1989 21:00 +Marion,,DISK,IN,7/17/1989 22:00 +Nags Head,,VARIOUS,NC,7/20/1989 22:00 +Waterloo,,SPHERE,IA,7/25/1989 20:00 +Jackson,,LIGHT,NJ,7/25/1989 22:00 +Beaverton,,CYLINDER,OR,7/26/1989 21:00 +Santa Rosa,RED ORANGE,SPHERE,CA,7/26/1989 22:00 +Clarksville,,LIGHT,IN,8/1/1989 11:00 +Yountville,,DISK,CA,8/1/1989 16:00 +San Diego,ORANGE,FORMATION,CA,8/1/1989 23:00 +Elk Park,,TRIANGLE,NC,8/1/1989 23:30 +Corpus Christi,,TRIANGLE,TX,8/3/1989 1:00 +Chappaqua,,CYLINDER,NY,8/8/1989 20:00 +The Dalles,,TRIANGLE,OR,8/8/1989 22:00 +Redmond,,TRIANGLE,OR,8/10/1989 0:00 +Martinsburg,,TRIANGLE,WV,8/10/1989 3:00 +Tupelo,,CYLINDER,MS,8/10/1989 14:00 +Novato,,DISK,CA,8/10/1989 18:00 +Portsmouth,,EGG,NH,8/11/1989 18:00 +St. Joseph,,LIGHT,MO,8/15/1989 0:00 +Dayton,,SPHERE,TX,8/15/1989 1:00 +Highlands,,OTHER,NC,8/15/1989 20:30 +Ft. Carson,,DISK,NM,8/18/1989 12:00 +Cleveland,,DISK,OH,8/19/1989 12:00 +North Kingstown,,LIGHT,RI,8/20/1989 14:00 +Grahamsville,,RECTANGLE,NY,8/22/1989 22:15 +Accokeek,,,MD,8/24/1989 23:45 +Key West,,TEARDROP,FL,8/30/1989 20:05 +Roswell,,,GA,9/1/1989 0:00 +Franklin,,SPHERE,NC,9/1/1989 14:00 +Hiddenite,RED,DISK,NC,9/1/1989 18:00 +Cincinnati,,TRIANGLE,OH,9/1/1989 20:00 +DuQuoin,,DISK,IL,9/2/1989 18:30 +Glennie,,LIGHT,MI,9/3/1989 4:00 +Palm Springs,,DISK,CA,9/6/1989 16:58 +Bellevue,,SPHERE,WA,9/6/1989 19:00 +Kent Cliffs,RED,DISK,NY,9/10/1989 23:00 +Englewood,,OTHER,FL,9/12/1989 0:00 +Waterloo,,OVAL,IA,9/12/1989 0:00 +Rocky Point,,,NY,9/15/1989 2:00 +Austin,,CIRCLE,TX,9/15/1989 21:00 +California desert,,LIGHT,CA,9/15/1989 21:00 +Peekskill,,,NY,9/15/1989 22:30 +Mt. Morris,,RECTANGLE,NY,9/15/1989 23:35 +Grandview,,CIRCLE,MO,9/17/1989 5:37 +Sierra Madre,,TEARDROP,CA,9/20/1989 16:00 +Oak Ridge,,DISK,TN,9/27/1989 20:30 +Miami,,CHEVRON,FL,9/29/1989 6:15 +McAlpin,ORANGE,,FL,9/30/1989 22:00 +MacKay,,DISK,ID,10/1/1989 16:00 +Ft. Walton Beach,,CIRCLE,FL,10/1/1989 18:00 +Winchester,ORANGE,OVAL,KY,10/1/1989 18:00 +Jacksonville,,CIRCLE,IL,10/1/1989 20:00 +Pawling,,OVAL,NY,10/1/1989 20:00 +Carmichael,,RECTANGLE,CA,10/1/1989 21:30 +Orono,,DISK,ME,10/1/1989 21:30 +Harrison,,OTHER,NY,10/7/1989 23:00 +Calabasas,,DISK,CA,10/10/1989 0:00 +Centralia,,TRIANGLE,WA,10/10/1989 21:00 +Kranklin,,TRIANGLE,KY,10/10/1989 21:00 +Kewanee,,SPHERE,IL,10/11/1989 21:00 +Kewanee,,SPHERE,IL,10/11/1989 21:00 +Hampton,,CIGAR,VA,10/15/1989 5:00 +Morgantown,,TRIANGLE,WV,10/15/1989 10:30 +Batesville,,DISK,AR,10/15/1989 19:00 +Bloomingdale,BLUE,SPHERE,NJ,10/15/1989 20:00 +Mint Hill,,TRIANGLE,NC,10/15/1989 20:00 +Glennallen,,,AK,10/15/1989 22:00 +Tucson,,SPHERE,AZ,10/16/1989 8:00 +Norwalk,,TRIANGLE,CT,10/17/1989 19:00 +San Jose,,TRIANGLE,CA,10/17/1989 21:00 +San Jose,,FLASH,CA,10/17/1989 22:30 +Wallingford,,OVAL,CT,10/18/1989 13:00 +Forest City,,DISK,NC,10/18/1989 21:00 +Shasta Lake,,DIAMOND,CA,10/18/1989 21:30 +West Palm Beach,,CYLINDER,FL,10/20/1989 0:00 +Newfoundland,,OTHER,PA,10/20/1989 3:00 +Diamond Bar,,VARIOUS,CA,10/20/1989 18:30 +Fayetteville,,FIREBALL,NC,10/22/1989 0:00 +De Soto,,OVAL,MO,10/30/1989 20:00 +El Jebel,,,CO,10/31/1989 18:30 +Amesville,RED,TRIANGLE,CT,11/1/1989 20:00 +Dallas,,VARIOUS,TX,11/1/1989 20:25 +Groom Lake,,EGG,NV,11/5/1989 2:00 +Kingman,GREEN,SPHERE,AZ,11/6/1989 2:00 +Washburn,RED,CIRCLE,MO,11/7/1989 19:30 +Phoenix,,LIGHT,AZ,11/10/1989 23:00 +Oklahoma,ORANGE,SPHERE,OK,11/14/1989 19:00 +Sapulpa,,TRIANGLE,OK,11/14/1989 20:00 +Dexter,,DISK,NY,11/15/1989 5:30 +San Antonio,,DIAMOND,TX,11/15/1989 18:00 +Currituck County,BLUE,DISK,NC,11/15/1989 22:00 +Wolf Creek drainage,,SPHERE,OR,11/15/1989 23:00 +Cooper City,,TRIANGLE,FL,11/22/1989 21:00 +Tallahassee,,SPHERE,FL,11/24/1989 12:00 +Davis,,TRIANGLE,CA,11/24/1989 13:30 +New Haven,,CIGAR,CT,11/25/1989 18:30 +Theresa,,TRIANGLE,WI,11/25/1989 19:00 +Monroe,,,LA,11/25/1989 22:00 +Dallas,,TRIANGLE,TX,11/26/1989 21:35 +Peace Vally,ORANGE,EGG,MO,11/28/1989 18:35 +Alvin,RED GREEN BLUE,SPHERE,TX,12/1/1989 17:30 +Kansas City,,OTHER,MO,12/1/1989 19:00 +Vancleave,,TRIANGLE,MS,12/1/1989 19:00 +Grand Canyon,,FORMATION,AZ,12/1/1989 21:00 +Independence,,TRIANGLE,MO,12/1/1989 22:00 +Bushnell,,TRIANGLE,FL,12/4/1989 1:55 +Cape May,ORANGE,SPHERE,NJ,12/10/1989 22:00 +Douglas Island,,SPHERE,AK,12/12/1989 7:00 +Tusayan,,DISK,AZ,12/13/1989 17:30 +Pineville,,RECTANGLE,LA,12/13/1989 23:00 +Glennwood,,SPHERE,OR,12/15/1989 18:00 +Sunnyvale,,OTHER,CA,12/16/1989 0:00 +Mosheim,,OVAL,TN,12/17/1989 22:00 +Cicero,,LIGHT,NY,12/22/1989 3:00 +Chicago,,DISK,IL,12/23/1989 8:00 +Hockessin,,SPHERE,DE,12/23/1989 20:00 +Orrington,,TRIANGLE,ME,12/24/1989 23:45 +Ocala,,TRIANGLE,FL,12/31/1989 23:00 +Minneapolis,,,MN,1/1/1990 0:00 +no data,,,NV,1/1/1990 23:00 +Barkhamsted,,,CT,1/3/1990 20:00 +New Orleans,,DISK,LA,1/6/1990 22:00 +Sutton,,VARIOUS,AK,1/7/1990 9:00 +Americus,,OVAL,IN,1/11/1990 3:30 +Livingston,,CIRCLE,CA,1/14/1990 20:00 +Platteville,RED ORANGE,DISK,WI,1/15/1990 1:00 +Hiawassee,,TRIANGLE,GA,1/15/1990 12:30 +Melvin,,DISK,IL,1/15/1990 18:30 +Richmond,,TRIANGLE,VA,1/23/1990 20:00 +Brigantine,,,NJ,2/1/1990 21:00 +Murfreesboro,,OVAL,TN,2/2/1990 17:10 +Douglas,,OTHER,GA,2/3/1990 11:30 +Lansing,ORANGE,FORMATION,MI,2/4/1990 2:16 +Sleepy Creek,,LIGHT,NC,2/5/1990 21:00 +Plattsburg,YELLOW,LIGHT,NY,2/9/1990 2:30 +Indianapolis,,TEARDROP,IN,2/14/1990 9:24 +Davenport,,TRIANGLE,IA,2/14/1990 19:30 +Boston,,OTHER,MA,2/15/1990 15:30 +Brockton,,OTHER,MA,2/15/1990 20:15 +Brockton,,TRIANGLE,MA,2/15/1990 20:17 +Waterloo,,FORMATION,IL,2/15/1990 21:00 +Brownsburg,,SPHERE,IN,2/20/1990 6:40 +Wimberley,,TRIANGLE,TX,2/25/1990 22:45 +San Clemente,,DISK,CA,2/28/1990 22:00 +Williston,BLUE,FIREBALL,FL,3/1/1990 21:00 +Maryville,,OTHER,TN,3/15/1990 17:30 +Valley Mills,,OVAL,TX,3/15/1990 19:00 +Sitka,RED BLUE,LIGHT,AK,3/15/1990 20:50 +Farmville,,DISK,NC,3/15/1990 22:00 +Los Altos,,,CA,3/15/1990 22:00 +Janesville,,LIGHT,WI,3/15/1990 22:30 +Buena Park,,,CA,4/10/1990 20:35 +Indianapolis,,CIRCLE,IN,4/14/1990 6:30 +Knoxville,,OTHER,TN,4/15/1990 0:05 +Charlottesville,,OTHER,VA,4/15/1990 1:30 +Thornwood,,LIGHT,NY,4/15/1990 22:00 +Datil,,DISK,NM,4/27/1990 7:20 +East Windsor,,TEARDROP,NJ,5/1/1990 13:00 +Kingman,,FLASH,AZ,5/1/1990 20:00 +New Castle,,LIGHT,PA,5/1/1990 20:30 +Malibu,,DISK,CA,5/4/1990 12:20 +Arlington,,CHEVRON,VA,5/5/1990 21:40 +Canton,,CIRCLE,OH,5/15/1990 13:35 +Tioga,,CIGAR,LA,5/15/1990 17:50 +Raymond,,OVAL,NH,5/15/1990 19:30 +West Point,,TRIANGLE,NY,5/15/1990 20:00 +Norwalk,,OTHER,CA,5/19/1990 17:15 +Seneca,RED,LIGHT,SC,5/21/1990 20:50 +Perl Island,,SPHERE,AK,5/22/1990 23:00 +Eugene,RED,LIGHT,OR,5/24/1990 23:00 +South Fallsburg,,CIRCLE,NY,5/25/1990 10:00 +Stanwood,,RECTANGLE,WA,5/26/1990 21:00 +Lenexa,,OTHER,KS,5/26/1990 23:15 +Sante Fe,,TRIANGLE,NM,5/28/1990 17:00 +Lextington,,FIREBALL,OH,5/29/1990 1:15 +Florissant,,SPHERE,MO,6/1/1990 0:00 +Levitown,RED,DIAMOND,NY,6/1/1990 2:30 +Lewisburg,,LIGHT,PA,6/1/1990 5:00 +Bridgeton,,DISK,NJ,6/1/1990 7:00 +Santa Rosa,,SPHERE,CA,6/1/1990 11:00 +Allentown,,OTHER,PA,6/1/1990 12:00 +Greenville,,DISK,DE,6/1/1990 12:00 +Orting,,DISK,WA,6/1/1990 12:00 +San Diego,,RECTANGLE,CA,6/1/1990 12:00 +Delta,,CIGAR,LA,6/1/1990 20:00 +Elfin Forest,,,CA,6/1/1990 20:00 +Henryetta,,LIGHT,OK,6/1/1990 20:00 +Maryland,,TRIANGLE,MD,6/1/1990 20:00 +Cannon,RED,CHEVRON,NY,6/1/1990 21:00 +The Dalles,,TRIANGLE,OR,6/1/1990 21:00 +Fullerton,,CIRCLE,CA,6/1/1990 22:00 +Fullerton,,DISK,CA,6/1/1990 22:00 +Colorado Springs,,OTHER,CO,6/1/1990 23:00 +Danville,,,IL,6/5/1990 20:00 +Stanton,,DISK,KY,6/6/1990 22:00 +Stonyford,GREEN,SPHERE,CA,6/8/1990 21:00 +Stonyford,,SPHERE,CA,6/9/1990 23:00 +Los Angeles,,,CA,6/10/1990 20:00 +Tallahassee,,,FL,6/10/1990 22:00 +Dells,,DISK,WI,6/11/1990 10:00 +Lafayette,,CIRCLE,GA,6/15/1990 0:00 +Springfield,,OVAL,OR,6/15/1990 1:00 +Peru,,CIRCLE,IN,6/15/1990 2:00 +Carlisle,,OTHER,PA,6/15/1990 3:00 +Tellicoplains,,DISK,TN,6/15/1990 19:00 +El Paso,,TRIANGLE,TX,6/15/1990 20:00 +Columbia Heights,,,MN,6/15/1990 23:00 +Kettering,,OTHER,OH,6/17/1990 20:30 +Bremerton,,TRIANGLE,WA,6/20/1990 1:00 +Salem,,EGG,NY,6/23/1990 22:25 +Newton,,CIRCLE,NJ,6/26/1990 1:00 +Santa Maria,,CIRCLE,CA,6/30/1990 0:00 +Riverside,,CYLINDER,CA,6/30/1990 13:00 +Scottsdale,,TRIANGLE,AZ,6/30/1990 20:30 +Carlisle,,FIREBALL,NY,6/30/1990 21:00 +North Fork,,OTHER,CA,6/30/1990 21:00 +Shaver Lake,,LIGHT,CA,7/1/1990 0:30 +Shaver Lake,,TRIANGLE,CA,7/1/1990 0:30 +Whitehouse Station,,,NJ,7/1/1990 1:00 +Lindenhurst,,TRIANGLE,NY,7/1/1990 5:30 +Lewistown,,LIGHT,IL,7/1/1990 17:00 +San Diego,,OTHER,CA,7/1/1990 20:30 +Corte Madera,RED,FIREBALL,CA,7/1/1990 21:00 +San Bernardino,,,CA,7/1/1990 21:00 +Jeffersonville,,TRIANGLE,IN,7/1/1990 22:00 +Mankato,,OVAL,MN,7/1/1990 22:00 +Miami,,FIREBALL,FL,7/1/1990 22:45 +Fontana,,LIGHT,CA,7/1/1990 23:00 +Lake Havasu,,SPHERE,AZ,7/1/1990 23:00 +Sacramento,ORANGE YELLOW,LIGHT,CA,7/1/1990 23:00 +Cape Girardeau,,SPHERE,MO,7/3/1990 22:00 +Lake Tahoe,,CIRCLE,CA,7/3/1990 22:00 +North Miami Beach,,LIGHT,FL,7/3/1990 23:00 +Rivrside,,OTHER,CA,7/5/1990 13:00 +Sawyer,,DISK,MI,7/5/1990 17:00 +San Antonio,,TRIANGLE,TX,7/7/1990 10:30 +Milwaukee,ORANGE,FIREBALL,WI,7/8/1990 0:10 +Tularosa,,,NM,7/12/1990 11:00 +Calnevari,,DIAMOND,CA,7/12/1990 12:00 +Willamina,,RECTANGLE,OR,7/12/1990 19:00 +Stonington,,TRIANGLE,CT,7/13/1990 22:00 +Lancaster,,OTHER,PA,7/15/1990 1:00 +Glen Burnie,,LIGHT,MD,7/15/1990 2:00 +Arizona,,LIGHT,AZ,7/15/1990 2:30 +Colorado Springs,,FLASH,CO,7/15/1990 3:00 +Salt Lake City,,DISK,UT,7/15/1990 4:30 +Snohomish Co.,BLUE,SPHERE,WA,7/15/1990 4:30 +Willits,,VARIOUS,CA,7/15/1990 13:00 +North Fork,,FIREBALL,CA,7/15/1990 14:00 +Chico,,DISK,CA,7/15/1990 20:00 +Fenton,,RECTANGLE,MO,7/15/1990 23:00 +Glenelg,,LIGHT,MD,7/15/1990 23:30 +Stockton,,CIGAR,CA,7/18/1990 6:10 +Ames,,DISK,IA,7/18/1990 22:00 +Ocean City,,OTHER,MD,7/20/1990 22:00 +Pittsburg,RED YELLOW,LIGHT,TX,7/20/1990 23:00 +Madison,,LIGHT,WI,7/22/1990 1:00 +Linden,,CIRCLE,WI,7/29/1990 23:00 +Neenah,,LIGHT,WI,8/1/1990 0:00 +Clearfield,,DISK,UT,8/1/1990 12:00 +Wright Patterson AFB,,DISK,OH,8/1/1990 21:00 +Carbondale,,OTHER,CO,8/5/1990 14:00 +Mt. Hood,,SPHERE,OR,8/6/1990 11:00 +Huntington Beach,,SPHERE,CA,8/8/1990 12:00 +Boston,,OVAL,MA,8/8/1990 22:00 +Omaha,,OTHER,NE,8/8/1990 23:08 +Southbridge,,,MA,8/10/1990 2:00 +Cross City,,TRIANGLE,FL,8/10/1990 21:30 +Lincoln,,CIRCLE,NE,8/12/1990 4:00 +Corpus Christi,,TRIANGLE,TX,8/12/1990 23:30 +Neptune,,FORMATION,NJ,8/13/1990 2:00 +Sponk,,,NY,8/15/1990 2:30 +Perris,,TRIANGLE,CA,8/15/1990 3:00 +Benbrook,,TRIANGLE,TX,8/15/1990 21:30 +Busby,,LIGHT,MT,8/15/1990 22:00 +Ramona,,,CA,8/15/1990 22:00 +El Dorado Hills,,,CA,8/17/1990 22:15 +Winslow,,FORMATION,AZ,8/20/1990 10:00 +Winslow,,FORMATION,AZ,8/20/1990 10:00 +Newport,,SPHERE,TN,8/20/1990 19:00 +Phoenix,,OTHER,AZ,8/21/1990 22:19 +Redding,ORANGE,VARIOUS,CA,8/23/1990 18:45 +Santa Cruz,RED ORANGE,OTHER,CA,8/24/1990 1:00 +Cherry Valley,,TRIANGLE,IL,8/24/1990 20:00 +Riverside,,RECTANGLE,IL,8/25/1990 5:25 +Punxsutawney,,SPHERE,PA,8/26/1990 23:00 +Sterling,,,MA,8/31/1990 22:00 +Dover,,CIRCLE,DE,9/1/1990 6:30 +Marion,,TRIANGLE,VA,9/1/1990 21:00 +Roscoe,,TRIANGLE,IL,9/1/1990 21:00 +San Antonio,,OTHER,TX,9/1/1990 22:30 +Dallas,,LIGHT,TX,9/2/1990 21:00 +Dover,,TRIANGLE,DE,9/7/1990 22:00 +White Lake,,OTHER,NC,9/14/1990 15:00 +Howe,,CIGAR,TX,9/15/1990 7:30 +Greencastle,,OTHER,IN,9/15/1990 18:00 +Campbell Hall,RED,TRIANGLE,NY,9/15/1990 21:00 +Middleville,,DISK,MI,9/15/1990 21:00 +Cloquet,,TRIANGLE,MN,9/15/1990 22:30 +Newburgh,,TRIANGLE,IN,9/20/1990 1:30 +Roseville,,OTHER,MI,9/20/1990 2:00 +Hoquiam,ORANGE,FIREBALL,WA,9/20/1990 21:30 +Level Cross,ORANGE GREEN,SPHERE,NC,9/20/1990 23:00 +Champaign,,EGG,IL,9/22/1990 19:00 +Pateros,,OVAL,WA,10/1/1990 17:00 +San Pedro,,LIGHT,CA,10/1/1990 20:00 +Jamestown,,LIGHT,NY,10/1/1990 22:15 +Fresno,,VARIOUS,CA,10/5/1990 22:00 +Ashburn,,TRIANGLE,GA,10/10/1990 21:00 +Rising Sun,,SPHERE,MD,10/13/1990 16:00 +Reidsville,GREEN,OVAL,GA,10/14/1990 21:00 +Endwell,,FORMATION,NY,10/15/1990 0:15 +North Windham,,FIREBALL,ME,10/15/1990 3:00 +Las Vegas,,LIGHT,NV,10/15/1990 17:00 +Prineville,,LIGHT,OR,10/15/1990 20:00 +Omaha,,CIGAR,NE,10/15/1990 21:00 +Auburn,GREEN,SPHERE,WA,10/15/1990 21:30 +Austin,,OTHER,TX,10/15/1990 23:00 +Flagler Beach,,TRIANGLE,FL,10/17/1990 1:30 +Forest City,,DISK,NC,10/18/1990 1:00 +Almont,,OVAL,MI,10/20/1990 18:30 +Glencoe,,OTHER,OK,10/20/1990 22:50 +Wells,,CYLINDER,NV,10/27/1990 21:00 +Paragould,,DISK,AR,10/29/1990 7:00 +Burlingame State Park,,OTHER,RI,10/29/1990 20:45 +Petit Jean Mountain,,LIGHT,AR,10/31/1990 17:00 +Friendship,,DISK,MD,10/31/1990 18:30 +Traverse City,,LIGHT,MI,11/1/1990 19:00 +Lowell,RED,LIGHT,MA,11/1/1990 21:30 +no data,ORANGE,DISK,MT,11/1/1990 23:00 +Stanton,,LIGHT,DE,11/12/1990 23:30 +New London,,OTHER,NH,11/14/1990 19:30 +Rockledge,,LIGHT,FL,11/15/1990 3:00 +Wylie,,TRIANGLE,TX,11/15/1990 3:00 +Gig Harbor,,FIREBALL,WA,11/15/1990 18:00 +Furnace Creek,RED,,CA,11/15/1990 19:00 +Kilgore,,LIGHT,TX,11/15/1990 22:00 +Hallowell,,FIREBALL,ME,11/17/1990 4:30 +Kenton,,CIGAR,MI,11/17/1990 17:55 +Roanoke,YELLOW,LIGHT,VA,11/20/1990 22:00 +Canal Fulton,,,OH,11/20/1990 22:30 +Naples,,OTHER,FL,11/30/1990 18:30 +Hollsopple,RED,DISK,PA,11/30/1990 19:00 +Canton,,OTHER,TX,12/9/1990 1:15 +Honolulu,,FLASH,HI,12/10/1990 18:00 +Madison,,LIGHT,WI,12/12/1990 9:00 +Ocean City,,OVAL,MD,12/15/1990 0:30 +Blocker,,CIGAR,OK,12/16/1990 2:15 +Great Falls,,LIGHT,MT,12/20/1990 17:00 +Bessmer,,OVAL,MI,12/23/1990 6:15 +Steamboat Springs,BLUE,,CO,12/24/1990 13:30 +Wayzate,,LIGHT,MN,12/24/1990 21:00 +Gonzales,,FIREBALL,LA,12/24/1990 23:00 +Madison,,,WI,12/30/1990 5:00 +Chinook,,,WA,12/31/1990 22:30 +Milford,,,NH,1/1/1991 0:54 +Helena,,TRIANGLE,AR,1/1/1991 21:00 +Canton,,LIGHT,MS,1/10/1991 2:15 +Derry,,DISK,NH,1/14/1991 20:30 +Buena Park,GREEN,SPHERE,CA,1/15/1991 22:00 +Willingboro,,,NJ,1/15/1991 22:00 +Scarsdale,,OTHER,NY,1/20/1991 3:00 +Quartzite,RED,LIGHT,AZ,2/1/1991 20:00 +Washington Township,,OTHER,NJ,2/11/1991 14:00 +Selma,,RECTANGLE,CA,2/14/1991 22:00 +Calistoga,,SPHERE,CA,2/15/1991 15:00 +Lakewood,,CIRCLE,CO,2/15/1991 19:00 +Grand Rapids,,DISK,MI,2/15/1991 22:00 +Rockyface,BLUE,CYLINDER,GA,2/19/1991 18:00 +Minneapolis,,EGG,MN,3/1/1991 4:30 +Ringwood,,CIGAR,NJ,3/1/1991 8:00 +Norwalk,,OVAL,CT,3/1/1991 11:00 +Franklin,,,NJ,3/1/1991 21:00 +Annapolis,,TRIANGLE,MD,3/7/1991 9:00 +Garden Grove,,LIGHT,CA,3/8/1991 19:00 +Boise,,DISK,ID,3/10/1991 3:00 +Chihuahua Mts,,LIGHT,NM,3/19/1991 2:00 +Signal Mountain,,FLASH,TN,3/20/1991 20:00 +Wishek,,SPHERE,ND,3/26/1991 20:30 +Wichita,ORANGE,TRIANGLE,KS,4/1/1991 0:30 +Fort Fisher,,LIGHT,NC,4/1/1991 18:00 +Mahopac,,LIGHT,NY,4/1/1991 19:00 +Limerick,,DISK,ME,4/1/1991 21:00 +Hammond,,TRIANGLE,IN,4/11/1991 13:00 +Monrovia,,DISK,CA,4/12/1991 0:00 +Pagosa Springs,,CIGAR,CO,4/13/1991 23:45 +Scott A.F.B.,,TRIANGLE,IL,4/15/1991 0:00 +Moab,,DIAMOND,UT,4/15/1991 10:00 +Greenwood,,OVAL,SC,4/15/1991 18:15 +Malad,,CIRCLE,ID,4/15/1991 22:00 +Placerville,,LIGHT,CA,4/15/1991 23:00 +New Boston,,OVAL,TX,4/17/1991 20:00 +Sacramento,,VARIOUS,CA,4/27/1991 21:00 +New York City,,CIRCLE,NY,5/1/1991 1:00 +Escondido,BLUE,CIGAR,CA,5/1/1991 3:00 +Garden Grove,,SPHERE,CA,5/1/1991 14:00 +Massapequa,,OTHER,NY,5/1/1991 20:00 +Milledgeville,,DISK,GA,5/1/1991 21:00 +Mayfield,BLUE,TEARDROP,KY,5/2/1991 2:15 +Grants,,LIGHT,NM,5/5/1991 20:30 +Lake Mead,BLUE,LIGHT,AZ,5/8/1991 4:30 +Peru,,DISK,IN,5/10/1991 2:00 +Reading,,LIGHT,PA,5/10/1991 16:00 +Huntington Beach,,OTHER,CA,5/11/1991 14:00 +Phoenix,,CIRCLE,AZ,5/11/1991 22:30 +Pittsburg,,,TX,5/13/1991 23:30 +Central Texas,,LIGHT,TX,5/15/1991 9:41 +Dayton,,OVAL,OH,5/17/1991 5:00 +Atlanta,,LIGHT,GA,5/20/1991 4:00 +Northfield,,FORMATION,MN,5/20/1991 21:00 +Hampstead,,DISK,NH,5/25/1991 21:00 +Lone Pine,GREEN,LIGHT,CA,5/25/1991 21:00 +Las Cruces,BLUE,FIREBALL,NM,5/30/1991 9:10 +Marshall,,DISK,MI,5/31/1991 13:00 +Rio Rancho,,DISK,NM,6/1/1991 0:00 +Yuma,,DISK,AZ,6/1/1991 2:00 +Port Vue,,SPHERE,PA,6/1/1991 4:00 +Port St. Lucie,,OVAL,FL,6/1/1991 10:30 +Roseville,,CIGAR,CA,6/1/1991 12:00 +Whitestone,,DISK,NY,6/1/1991 13:00 +Central Islip,,TRIANGLE,NY,6/1/1991 16:00 +Monument Valley,,DISK,AZ,6/1/1991 17:00 +Atlantic City,RED,CIRCLE,NJ,6/1/1991 18:00 +Las Vegas,,OTHER,NV,6/1/1991 18:00 +Warrenton,,CIRCLE,VA,6/1/1991 18:00 +Yucca Valley,,DISK,CA,6/1/1991 18:00 +Troy,,DISK,MI,6/1/1991 19:00 +Dwarf,RED,TEARDROP,KY,6/1/1991 19:30 +South Saint Paul,,TRIANGLE,MN,6/1/1991 22:30 +Highway 24,ORANGE,TRIANGLE,IL,6/1/1991 23:00 +Canton,BLUE,LIGHT,NY,6/1/1991 23:30 +Flint,,DISK,MI,6/1/1991 23:30 +Dixon,,DISK,IL,6/3/1991 22:00 +Brawley,ORANGE,LIGHT,CA,6/5/1991 17:00 +W. Wendover,,TRIANGLE,NV,6/6/1991 20:30 +College Park,,OTHER,MD,6/6/1991 23:00 +Levittown,,CIRCLE,NY,6/10/1991 23:35 +Gaffnet,,TRIANGLE,SC,6/12/1991 6:00 +Kingston area,RED,TRIANGLE,PA,6/12/1991 6:00 +Mifflinville,,LIGHT,PA,6/12/1991 19:15 +St. Petersburg,,OTHER,FL,6/13/1991 20:00 +Galconda,,,IL,6/15/1991 3:00 +North Lauderdale,BLUE,OTHER,FL,6/15/1991 3:00 +Stone Mountain,,DISK,GA,6/15/1991 3:30 +Trementina,,CYLINDER,NM,6/15/1991 11:00 +Huntington Beach,,CIRCLE,CA,6/15/1991 12:00 +Gainesville,,OTHER,FL,6/15/1991 18:00 +Mayfield,RED,TRIANGLE,KY,6/15/1991 22:00 +Oconomowoc,,LIGHT,WI,6/15/1991 22:00 +Dover,,TRIANGLE,DE,6/20/1991 20:00 +New York City,,OTHER,NY,6/23/1991 22:00 +Okanogan,,DISK,WA,6/25/1991 12:30 +Annandale,,,NJ,6/30/1991 0:00 +Bedford,,TRIANGLE,PA,6/30/1991 0:00 +Paloma,,CHEVRON,CA,6/30/1991 8:00 +Whitefish,,DISK,MT,6/30/1991 14:30 +El Cajon,ORANGE,DIAMOND,CA,6/30/1991 20:00 +Newburgh,,DIAMOND,NY,6/30/1991 22:00 +Hawk Mountain,RED,LIGHT,PA,7/1/1991 0:30 +Cuba,,TRIANGLE,NY,7/1/1991 1:00 +Maunk Chunk,,LIGHT,PA,7/1/1991 2:40 +Mount Vernon,BLUE,DISK,NY,7/1/1991 14:00 +Houston,BLUE,LIGHT,TX,7/1/1991 19:00 +Barberton,,CIRCLE,OH,7/1/1991 22:00 +Mulliken,,DISK,MI,7/1/1991 22:00 +Elk River,,LIGHT,MN,7/1/1991 22:30 +St. David,,TRIANGLE,IL,7/1/1991 23:00 +Suisun City,RED,CIRCLE,CA,7/4/1991 22:00 +Wichita,,DISK,KS,7/4/1991 23:00 +Snohomish,,,WA,7/5/1991 11:11 +Detroit,,LIGHT,OR,7/5/1991 22:30 +Avon,,TRIANGLE,MA,7/7/1991 21:50 +Austin,,TRIANGLE,TX,7/8/1991 19:00 +Derby,,TRIANGLE,NY,7/9/1991 1:00 +Albany,,EGG,OR,7/11/1991 13:00 +Grove Land,,SPHERE,CA,7/13/1991 16:45 +McKinney,,,TX,7/15/1991 2:30 +Pasadena,,DISK,CA,7/15/1991 12:00 +Sumter,,DISK,SC,7/15/1991 12:00 +Houston,,TRIANGLE,TX,7/15/1991 21:00 +Berea,,TRIANGLE,OH,7/15/1991 22:00 +Sidney,,TRIANGLE,MT,7/15/1991 22:00 +Abingdon,,EGG,IL,7/15/1991 23:00 +Sunset,GREEN,LIGHT,TX,7/15/1991 23:00 +Las Vegas,,OTHER,NV,7/18/1991 17:00 +Virginia Beach,RED,TRIANGLE,VA,7/19/1991 21:30 +Crittenden,,TRIANGLE,KY,7/20/1991 4:00 +Shields,,LIGHT,MI,7/20/1991 21:30 +Alamo,,CIRCLE,TX,7/20/1991 23:00 +Tawas City,,OVAL,MI,8/1/1991 1:30 +Commerce,,CIRCLE,TX,8/1/1991 2:00 +Hamden,,TRIANGLE,CT,8/1/1991 2:00 +Lewisburg,,LIGHT,PA,8/1/1991 3:00 +Kapaa,,,HI,8/1/1991 3:30 +Kissimmee,RED,OTHER,FL,8/1/1991 14:00 +Columbus,,TRIANGLE,MS,8/1/1991 19:00 +Toledo,,OTHER,OH,8/1/1991 22:00 +Mt. Hood,,CIRCLE,OR,8/5/1991 10:30 +Romeo,,LIGHT,MI,8/7/1991 21:15 +Selden,,LIGHT,NY,8/10/1991 20:30 +Peru,,EGG,IN,8/15/1991 1:00 +Chowchilla,,DISK,CA,8/15/1991 3:00 +Hagerhill,,CIGAR,KY,8/15/1991 20:30 +Toledo,,LIGHT,OH,8/15/1991 22:00 +Marquette,,EGG,MI,8/15/1991 22:45 +Arizona,,OTHER,AZ,8/16/1991 1:00 +Hanover,,LIGHT,MA,8/16/1991 23:00 +Overland Park,,DISK,KS,8/20/1991 16:00 +Asheville,BLUE,OVAL,NC,8/22/1991 22:30 +New York City,,EGG,NY,8/24/1991 22:00 +Marquette,,,MI,8/25/1991 23:00 +Canandaigua,,SPHERE,NY,8/28/1991 0:30 +Donnelly,,,ID,8/29/1991 3:00 +New Idria,,TRIANGLE,CA,8/29/1991 20:30 +Council Bluffs,,CYLINDER,IA,8/31/1991 20:00 +Abilene,,TRIANGLE,TX,9/1/1991 1:00 +Prescott,,SPHERE,AR,9/1/1991 13:00 +Tulsa,,RECTANGLE,OK,9/1/1991 15:00 +St. Louis,,RECTANGLE,MO,9/1/1991 16:00 +Yakima Indian Reservation,,OTHER,WA,9/1/1991 17:00 +St. Louis,,RECTANGLE,MO,9/1/1991 17:30 +Yakama Indian Reservation,,RECTANGLE,WA,9/1/1991 17:30 +Boston,,CIRCLE,MA,9/1/1991 19:00 +Holloman AFB,ORANGE,OVAL,NM,9/1/1991 20:30 +Grants Pass,,LIGHT,OR,9/1/1991 22:00 +Morgan Hill,,,CA,9/2/1991 21:30 +Groton,,TRIANGLE,NY,9/5/1991 22:00 +Lewiston,,LIGHT,ID,9/10/1991 21:30 +Renton,,FIREBALL,WA,9/12/1991 19:35 +Fayetteville,,LIGHT,NC,9/14/1991 21:00 +Greenbrier,,LIGHT,AR,9/15/1991 18:00 +Show Low,,FORMATION,AZ,9/17/1991 1:00 +Spirit Lake Highway,,TRIANGLE,WA,9/17/1991 22:30 +Olympia,RED,VARIOUS,WA,9/18/1991 22:00 +Westwood,,LIGHT,CA,9/23/1991 19:30 +Clemson,,TRIANGLE,SC,9/25/1991 18:00 +San Marcos,,TRIANGLE,TX,9/27/1991 1:00 +Easley,,OTHER,SC,10/1/1991 14:45 +Wilmington,,CIRCLE,CA,10/1/1991 17:00 +Maryville,,CIGAR,TN,10/1/1991 18:00 +Little Rock,,TRIANGLE,AR,10/1/1991 18:30 +Fort Lee,,,NJ,10/1/1991 19:00 +McKenzie,RED GREEN BLUE,DISK,TN,10/1/1991 20:30 +Las Vegas,,CIGAR,NV,10/1/1991 21:30 +Lafayette,,OTHER,GA,10/1/1991 22:00 +Virginia Dale,,LIGHT,CO,10/7/1991 20:15 +Frisco,,,NC,10/10/1991 22:00 +Harrisburg,,TRIANGLE,PA,10/10/1991 22:00 +Snyder,,DISK,TX,10/15/1991 3:00 +Los Angeles,,CIRCLE,CA,10/28/1991 13:10 +Boulder,,CIRCLE,CO,10/31/1991 13:30 +Willow Grove,,OTHER,PA,10/31/1991 18:34 +Niles,,TRIANGLE,MI,11/1/1991 3:00 +Britton,,TRIANGLE,MI,11/1/1991 10:00 +Bremen,,DISK,GA,11/1/1991 21:00 +Salem,,TRIANGLE,MO,11/10/1991 22:15 +Salem,,TRIANGLE,MO,11/10/1991 22:15 +Brooksville,,,FL,11/12/1991 23:00 +Colorado Springs,BLUE,TRIANGLE,CO,11/15/1991 1:00 +Pensacola,,DISK,FL,11/15/1991 1:00 +Pasadena,,,TX,11/15/1991 19:30 +Colorado Springs,RED BLUE,TRIANGLE,CO,11/18/1991 1:00 +Yeehaw Junction,,TRIANGLE,FL,11/20/1991 15:00 +Fulton,,LIGHT,KY,11/20/1991 21:30 +Salem,,TRIANGLE,MO,11/23/1991 22:00 +Brighton,,CIRCLE,MI,11/27/1991 20:15 +Copley,,LIGHT,OH,12/1/1991 23:00 +Tarzana,RED,SPHERE,CA,12/5/1991 19:30 +Grand Rapids,,OTHER,MI,12/10/1991 21:30 +Etowah,,VARIOUS,TN,12/13/1991 22:00 +Tell City,,CIRCLE,IN,12/14/1991 5:30 +Macon,,DISK,GA,12/20/1991 20:00 +Pleasanton,ORANGE,SPHERE,NE,12/23/1991 19:00 +Grant,,CIRCLE,MI,12/24/1991 23:59 +Vassar,,CIRCLE,MI,12/30/1991 0:00 +Seattle,,OTHER,WA,1/1/1992 0:00 +Windover,,EGG,UT,1/6/1992 20:00 +New Church,,SPHERE,VA,1/15/1992 17:30 +Bricktown,,DISK,NJ,1/25/1992 17:00 +Laffolette,,FIREBALL,TN,2/1/1992 0:00 +Grants Pass,,LIGHT,OR,2/1/1992 20:00 +Makawao,,OTHER,HI,2/2/1992 3:00 +Swarthmore,,TRIANGLE,PA,2/4/1992 2:00 +Rapid City area,,,SD,2/9/1992 21:30 +Shawnee,,CIGAR,OK,2/14/1992 1:30 +West Alexandria,,TRIANGLE,OH,2/15/1992 20:00 +Windsor,,EGG,CA,2/16/1992 2:00 +East Winn,,SPHERE,ME,2/23/1992 19:00 +Sacramento,,CIRCLE,CA,2/27/1992 2:00 +Dallas,,CIRCLE,TX,3/1/1992 1:00 +Lovelock,,LIGHT,NV,3/1/1992 19:00 +New York City,GREEN BLUE,FIREBALL,NY,3/5/1992 0:00 +Florence,,OVAL,AL,3/5/1992 6:45 +Tampa,,DISK,FL,3/15/1992 15:30 +Boonesboro,,CIGAR,MD,3/15/1992 19:00 +Beaumont,BLUE,,TX,3/22/1992 18:30 +,,FORMATION,TX,4/1/1992 2:00 +Fort Irwin,,LIGHT,CA,4/1/1992 2:00 +Ft. Irwin,,LIGHT,CA,4/1/1992 2:00 +Nashua,,OVAL,NH,4/1/1992 3:00 +Nampa,GREEN,SPHERE,ID,4/1/1992 10:00 +Wantagh,,RECTANGLE,NY,4/1/1992 13:00 +San Bruno,,OTHER,CA,4/1/1992 21:30 +Pebble Beach,GREEN,LIGHT,CA,4/2/1992 22:24 +Hartford,,,CT,4/8/1992 21:00 +Ventura,,DISK,CA,4/8/1992 21:00 +Yosemite National Park,,FORMATION,CA,4/10/1992 1:00 +George West,,OVAL,TX,4/12/1992 22:45 +Ely,,LIGHT,MN,4/13/1992 1:00 +Portsmouth,,DISK,VA,4/15/1992 14:00 +Midlothian,,EGG,VA,4/15/1992 19:30 +Landers,,FIREBALL,Ca,4/15/1992 22:00 +Neosho,,,MO,4/15/1992 22:00 +Bowling Green,,DISK,KY,4/16/1992 12:00 +Billings,,DISK,MT,4/17/1992 23:45 +Hamburg,,DISK,NY,4/24/1992 4:30 +Indianola,,,IA,4/30/1992 2:00 +Coupeville,,SPHERE,WA,5/1/1992 3:00 +Mt. Olive,,CIRCLE,MS,5/1/1992 17:00 +Orlando,,,FL,5/5/1992 4:00 +Malibu,,LIGHT,CA,5/5/1992 22:00 +Acton to Chelmsford,,TRIANGLE,MA,5/10/1992 9:45 +Carlsbad,,TRIANGLE,NM,5/10/1992 9:45 +Green Bay,,DISK,WI,5/10/1992 10:00 +Allston,,TRIANGLE,MA,5/10/1992 10:30 +Houston,,TRIANGLE,TX,5/12/1992 1:00 +Swanton,,LIGHT,OH,5/15/1992 3:00 +Willow Grove,,CONE,PA,5/15/1992 15:00 +Columbus,,LIGHT,OH,5/15/1992 21:00 +Montrose,,CIRCLE,PA,5/15/1992 22:00 +Elmer,,OTHER,NJ,5/18/1992 21:00 +San Lorenzo,,CIRCLE,CA,5/20/1992 14:00 +Langehorne,,,PA,5/21/1992 21:30 +Montrose,,OVAL,PA,5/25/1992 14:00 +Clarion,,OVAL,IA,5/25/1992 23:00 +Benton,,DISK,AR,6/1/1992 0:00 +Langhorne,,TRIANGLE,PA,6/1/1992 0:00 +Georgis,,,VT,6/1/1992 1:00 +High Desert,,OTHER,CA,6/1/1992 2:30 +New York City,,CIGAR,NY,6/1/1992 8:15 +Sugar Grove,,OVAL,IL,6/1/1992 15:00 +Dana Point,,SPHERE,CA,6/1/1992 18:00 +Lincoln,,CIGAR,NE,6/1/1992 18:00 +Live Oak,BLUE,TRIANGLE,CA,6/1/1992 19:30 +Austin,,FIREBALL,TX,6/1/1992 21:00 +Broward County,,FIREBALL,FL,6/1/1992 22:00 +Mesa,,VARIOUS,AZ,6/1/1992 22:00 +not shure,,CIRCLE,ME,6/1/1992 23:00 +Rosemead,,OVAL,CA,6/1/1992 23:00 +Yardley,ORANGE,TRIANGLE,PA,6/1/1992 23:30 +Jerseyville,,OTHER,IL,6/4/1992 1:00 +New York City,,LIGHT,NY,6/5/1992 13:00 +Leesburg,,LIGHT,AL,6/6/1992 20:00 +Houston,,CHEVRON,TX,6/10/1992 23:00 +South Conway,,SPHERE,NH,6/14/1992 0:30 +Maryville,,CYLINDER,TN,6/14/1992 0:45 +Tinnie,,FORMATION,NM,6/15/1992 0:30 +Jacksonville,,FORMATION,FL,6/15/1992 1:00 +Quinlan,RED,CIGAR,TX,6/15/1992 1:00 +Scarsdale,,,NY,6/15/1992 2:00 +Chesterfield,,TRIANGLE,IL,6/15/1992 16:30 +Area 51,,OVAL,NV,6/15/1992 18:00 +River Falls,,TRIANGLE,WI,6/15/1992 20:00 +Middleburg,,LIGHT,FL,6/15/1992 20:15 +Fort Worth,,,TX,6/15/1992 20:30 +Bloomfield,YELLOW,CIRCLE,NJ,6/15/1992 21:00 +Gastonia,,SPHERE,NC,6/15/1992 22:00 +Las Vegas,,LIGHT,NV,6/15/1992 22:00 +Montvale,,SPHERE,VA,6/15/1992 22:00 +Crystal City,,LIGHT,MO,6/15/1992 23:00 +Catalina Island,,FLASH,CA,6/19/1992 20:00 +Fruitland,,LIGHT,ID,6/20/1992 0:30 +Fresno,,OVAL,CA,6/20/1992 2:00 +Rocky Mount,RED GREEN BLUE,CIRCLE,VA,6/20/1992 21:00 +Jonesville,,RECTANGLE,FL,6/20/1992 22:00 +Mt.Vernon,,EGG,IL,6/21/1992 5:00 +Conesus,,,NY,6/21/1992 21:00 +Laramie,,LIGHT,WY,6/24/1992 22:00 +Big Bear Lake area,,VARIOUS,CA,6/25/1992 0:00 +Chapin,,OTHER,SC,6/25/1992 12:30 +Granite Shoals,,DISK,TX,6/25/1992 18:30 +Jackson,,CYLINDER,MI,6/28/1992 14:00 +Cortlandt Manor,,CIRCLE,NY,6/30/1992 0:00 +New Britain,GREEN,RECTANGLE,CT,6/30/1992 2:00 +Millinocket,RED,TRIANGLE,ME,6/30/1992 20:00 +Cape Canaveral,,OTHER,FL,6/30/1992 20:30 +Las Vegas,,SPHERE,NV,6/30/1992 21:00 +Willsboro,,FIREBALL,NY,7/1/1992 1:00 +Andover,,CIGAR,KS,7/1/1992 15:00 +Bangor,,FORMATION,ME,7/1/1992 18:00 +Summerville,,TRIANGLE,SC,7/1/1992 20:00 +Nags Head,,CIRCLE,NC,7/1/1992 21:00 +Garland,,TRIANGLE,TX,7/1/1992 22:00 +Pembroke Pines,ORANGE,OVAL,FL,7/3/1992 19:00 +Windham,,SPHERE,NH,7/4/1992 20:00 +Seatac,,,WA,7/4/1992 23:00 +Jerseyville,,FLASH,IL,7/5/1992 3:00 +Barronvale,,FORMATION,PA,7/5/1992 23:59 +Bowling Green,,OTHER,KY,7/7/1992 0:00 +Covington,,LIGHT,WA,7/7/1992 1:00 +Longview,,CIRCLE,WA,7/8/1992 22:00 +Swan Falls,,FORMATION,ID,7/10/1992 1:00 +Cincinnati,,SPHERE,OH,7/10/1992 18:00 +Houston,,TRIANGLE,TX,7/10/1992 22:00 +Tonasket,,,WA,7/10/1992 22:00 +Modesto,,CIRCLE,CA,7/10/1992 23:00 +Enid,,LIGHT,OK,7/15/1992 0:00 +Duluth,ORANGE,OTHER,MN,7/15/1992 1:30 +Los Angeles,,CHEVRON,CA,7/15/1992 23:00 +Duarte,,DISK,CA,7/18/1992 5:00 +Morris,,FORMATION,IL,7/19/1992 0:34 +Yosemite,,LIGHT,CA,7/20/1992 0:00 +Fort Carson,GREEN,,CO,7/20/1992 2:30 +Cedartown,,CIRCLE,GA,7/22/1992 17:00 +East Corinth,,OVAL,ME,7/26/1992 23:30 +Sioux Falls,,LIGHT,SD,7/28/1992 2:00 +Gil Community,,DIAMOND,TX,7/30/1992 6:00 +Takoma Park,,DISK,MD,7/30/1992 22:00 +New York City,,OVAL,NY,8/1/1992 0:00 +Belgrade,ORANGE,TRIANGLE,MT,8/1/1992 12:00 +Waukesha,,OTHER,WI,8/1/1992 16:00 +Union,,FIREBALL,WV,8/1/1992 17:00 +Keweenaw Peninsual,,SPHERE,MI,8/1/1992 22:30 +Bellevue,,CIRCLE,WA,8/1/1992 23:00 +Fort Collins,RED,LIGHT,CO,8/4/1992 21:00 +Jerseyville,ORANGE,LIGHT,IL,8/5/1992 23:00 +Wilmington,,TRIANGLE,NY,8/5/1992 23:00 +Kamiah,,,ID,8/6/1992 1:00 +Davis,,LIGHT,CA,8/10/1992 2:00 +Green Bay,,LIGHT,WI,8/10/1992 20:00 +Altivista,,TRIANGLE,VA,8/10/1992 23:00 +Scofield Reservoir,,VARIOUS,UT,8/11/1992 2:40 +Sugar Valley,,DISK,GA,8/12/1992 5:00 +Calistoga,,TRIANGLE,CA,8/14/1992 20:00 +Elk Grove,GREEN,OTHER,CA,8/15/1992 0:00 +New Hope,,TRIANGLE,PA,8/15/1992 22:00 +Interlachen,RED,OTHER,FL,8/15/1992 22:30 +Norwood,,CIGAR,PA,8/15/1992 22:30 +Limerick,,CIRCLE,ME,8/15/1992 23:00 +Santa Rosa,,,CA,8/16/1992 3:30 +Tigard,,,OR,8/16/1992 22:30 +Columbus,,DISK,GA,8/18/1992 2:00 +Wagarville,YELLOW,FIREBALL,AL,8/18/1992 17:00 +Louisville,,,KY,8/19/1992 0:00 +Kohala Coast,,LIGHT,HI,8/24/1992 20:00 +Pinecrest,,DISK,FL,8/24/1992 23:00 +Algonac,,LIGHT,MI,8/29/1992 18:00 +Lakewood,,DISK,NJ,8/30/1992 23:59 +Port Elizabeth,,RECTANGLE,NJ,9/1/1992 20:00 +Streamwood,,TRIANGLE,IL,9/1/1992 21:00 +Noblesville,,TRIANGLE,IN,9/1/1992 22:00 +Wilmington,,DISK,NC,9/3/1992 19:00 +Cougar,YELLOW GREEN BLUE,,WA,9/5/1992 0:00 +Kamiah,,CIRCLE,ID,9/5/1992 1:30 +Hat Point,GREEN,FIREBALL,ID,9/5/1992 23:00 +Kamiah,,CIRCLE,ID,9/6/1992 1:30 +Hancock,,TRIANGLE,MD,9/12/1992 19:00 +New Idria,,VARIOUS,CA,9/12/1992 21:45 +New York City,,TEARDROP,NY,9/12/1992 22:15 +Broward County,,CIRCLE,FL,9/15/1992 0:00 +Duchesne,GREEN,LIGHT,UT,9/21/1992 22:00 +Wetumpka,,TRIANGLE,AL,9/23/1992 2:34 +Chino,,DISK,CA,9/25/1992 19:00 +Golden Valley,,FLASH,MN,9/25/1992 21:30 +Clovis,RED ORANGE YELLOW,,CA,9/27/1992 19:00 +Fair Oaks,,DISK,CA,9/30/1992 20:00 +Echo Summit,,SPHERE,CA,10/1/1992 1:30 +Dublin,,TRIANGLE,GA,10/1/1992 17:30 +Springfield,,EGG,MO,10/1/1992 18:00 +Longview,,,TX,10/1/1992 19:00 +Henderson,,CROSS,NC,10/1/1992 22:00 +Mexi-Cali,,SPHERE,CA,10/2/1992 17:00 +Raleigh-Durham,,CHEVRON,NC,10/3/1992 13:35 +Palm Springs,BLUE,TRIANGLE,AZ,10/5/1992 22:50 +West Chester,,OVAL,OH,10/8/1992 18:00 +Seminole,,RECTANGLE,TX,10/9/1992 8:00 +Eastern United States,,OTHER,WV,10/9/1992 19:49 +Panama City,,FORMATION,FL,10/10/1992 17:00 +Stafford,,,TX,10/10/1992 18:00 +Seymour,,CIGAR,TN,10/10/1992 20:15 +Weatherford,,,TX,10/10/1992 22:00 +Albuquerque,,SPHERE,NM,10/11/1992 10:00 +Death Valley,,TRIANGLE,CA,10/13/1992 17:20 +Wilsonville,,LIGHT,OR,10/15/1992 6:50 +Gardnerville,,LIGHT,NV,10/15/1992 10:15 +Lubbock,,CIGAR,TX,10/15/1992 18:00 +Miami,,LIGHT,FL,10/15/1992 21:00 +Cincinnati,,LIGHT,OH,10/15/1992 22:00 +Pittsburgh,,DISK,PA,10/16/1992 23:00 +New York City,,DISK,NY,10/19/1992 14:00 +Oak Creek,,,CO,10/22/1992 21:30 +Orange Park,,CIRCLE,FL,10/23/1992 9:00 +Medway,,DISK,OH,10/23/1992 18:00 +Memphis,,FIREBALL,TN,10/29/1992 9:00 +Osterville,,RECTANGLE,MA,10/31/1992 19:00 +Connellsville,,,PA,10/31/1992 21:30 +Jackson,,FIREBALL,MI,10/31/1992 22:00 +Jerseyville,,DISK,IL,11/6/1992 15:30 +Dekalb,,RECTANGLE,TX,11/10/1992 23:30 +Walla Walla,,TRIANGLE,WA,11/13/1992 19:00 +Sage,,OVAL,CA,11/15/1992 10:00 +San Jose,ORANGE,LIGHT,IL,11/15/1992 18:30 +Fish Creek,RED,TRIANGLE,WI,11/15/1992 20:00 +Two Rivers,,TRIANGLE,WI,11/15/1992 22:15 +Atlantic Ocean,,DISK,MA,11/15/1992 23:00 +New York City,,FORMATION,NY,11/18/1992 19:00 +Little Tensas,,,LA,11/20/1992 17:00 +Deming,,CIGAR,NM,11/22/1992 0:00 +Yaphank,,FIREBALL,NY,11/24/1992 0:00 +Yaphank,,OTHER,NY,11/24/1992 0:00 +Santa Cruz,,LIGHT,CA,11/25/1992 4:30 +Columbus,,DISK,OH,11/27/1992 19:50 +Los Angeles,GREEN,OTHER,CA,11/28/1992 22:30 +Exeter,,DIAMOND,NH,12/8/1992 21:00 +Lenox,RED,DISK,MA,12/15/1992 5:55 +Fairview,,DISK,VA,12/15/1992 20:00 +Elkland,,OVAL,MO,12/15/1992 20:45 +Cincinnati,,TRIANGLE,OH,12/24/1992 20:00 +West Monroe,,DISK,LA,12/24/1992 22:00 +Bristol,,OTHER,VA,12/31/1992 23:00 +Reedborough,,,VT,1/1/1993 0:00 +Huntington,,TRIANGLE,NY,1/1/1993 20:00 +Ithaca,,OTHER,NY,1/10/1993 0:30 +Brookfield,,TRIANGLE,WI,1/12/1993 19:45 +So. Cal.,RED,,CA,1/14/1993 3:55 +Ridge,,,NY,1/14/1993 4:00 +Canadian,RED,TRIANGLE,TX,1/15/1993 22:30 +Battle Creek,,LIGHT,MI,1/15/1993 23:00 +Gainesville,ORANGE,LIGHT,FL,1/20/1993 18:50 +New Hope,,TRIANGLE,AL,1/20/1993 21:00 +Oliverea,,LIGHT,NY,1/20/1993 21:00 +Manteca,,TRIANGLE,CA,1/26/1993 0:00 +Randolph,BLUE,FLASH,NJ,2/1/1993 3:30 +Atlanta,,LIGHT,GA,2/3/1993 18:15 +Palestine,,OTHER,TX,2/4/1993 20:00 +Meadowdale,,SPHERE,WA,2/6/1993 21:55 +Lufkin,,DELTA,TX,2/9/1993 19:00 +Warner Robins,,TRIANGLE,GA,2/9/1993 19:30 +Mississippi,,SPHERE,MS,2/15/1993 0:00 +Zimmerman,RED,LIGHT,MN,2/15/1993 1:30 +Ironton,,SPHERE,OH,2/15/1993 20:15 +Paducah,,,KY,2/23/1993 10:00 +Chico,,TRIANGLE,CA,2/25/1993 23:30 +New York City,,LIGHT,NY,2/26/1993 5:00 +Ganado,,OTHER,AZ,3/1/1993 5:30 +Mesa,,OTHER,AZ,3/1/1993 12:00 +Prescott,,DIAMOND,AZ,3/1/1993 12:00 +Chattanooga,,SPHERE,TN,3/1/1993 13:00 +Greenville,,TRIANGLE,SC,3/1/1993 21:30 +Pittsburgh,,TRIANGLE,PA,3/6/1993 19:00 +Killeen,,,TX,3/11/1993 21:00 +Irving,,OTHER,TX,3/15/1993 16:00 +Round Rock,,LIGHT,TX,3/15/1993 18:30 +Chatsworth,RED,TRIANGLE,CA,3/15/1993 20:00 +Lee's Summit,,LIGHT,MO,3/15/1993 20:30 +Los Alamos,,DISK,NM,3/19/1993 15:25 +Amarillo,,LIGHT,TX,3/20/1993 2:00 +Joshua Tree National Monument,,FIREBALL,CA,3/20/1993 20:00 +Gastonia,,FORMATION,NC,4/1/1993 6:00 +Milwaukee,,TRIANGLE,WI,4/4/1993 19:00 +Three Rivers,,SPHERE,TX,4/10/1993 13:00 +Omaha,RED,EGG,NE,4/10/1993 17:30 +San Antonio,,DISK,TX,4/13/1993 18:30 +Indianapolis,,CIRCLE,IN,4/13/1993 22:30 +Pagosa Springs,,CIGAR,CO,4/13/1993 23:45 +Creston,,SPHERE,NC,4/14/1993 21:00 +Virginia Beach,BLUE,CIRCLE,VA,4/15/1993 3:00 +Huber Heights,,DISK,OH,4/16/1993 10:45 +West of Rye,,TRIANGLE,CO,4/17/1993 18:00 +Alamogordo,,LIGHT,NM,4/21/1993 19:30 +Magnolia,,CIGAR,MS,5/1/1993 18:00 +Sky Line Drive,,LIGHT,VA,5/1/1993 22:00 +Wenatchee,,TRIANGLE,WA,5/1/1993 22:30 +Vancouver,,,WA,5/2/1993 12:00 +Geneva,,CIGAR,OH,5/5/1993 9:00 +Sedona,RED,FORMATION,AZ,5/7/1993 20:00 +Glendale,,LIGHT,CA,5/9/1993 0:00 +Reno,,CIGAR,NV,5/9/1993 0:00 +Northridge,,LIGHT,CA,5/9/1993 20:00 +Laramie,,FORMATION,WY,5/10/1993 13:00 +Phoenix,,SPHERE,AZ,5/10/1993 22:00 +Woodinville,,,WA,5/14/1993 13:00 +Florence,,FIREBALL,MS,5/15/1993 2:30 +Branford,RED,DIAMOND,CT,5/15/1993 17:30 +Whittier,RED,LIGHT,CA,5/15/1993 17:30 +Barbers Point NAS,,FIREBALL,HI,5/15/1993 21:00 +Northfield,,OVAL,MN,5/17/1993 22:30 +Philadelphia,,LIGHT,PA,5/18/1993 1:00 +Box Elder,,TRIANGLE,MT,5/18/1993 3:00 +Sacramento,,TRIANGLE,CA,5/18/1993 23:00 +Topeka,,DISK,KS,5/22/1993 20:50 +Tucson,,CIRCLE,AZ,5/22/1993 21:00 +La Verne,,TEARDROP,CO,5/23/1993 21:30 +Buffalo,,RECTANGLE,NY,5/24/1993 14:30 +Liberty,,CIGAR,KY,5/27/1993 23:30 +Walla Walla,,FIREBALL,WA,5/29/1993 0:00 +Phoenix,,OVAL,AZ,6/1/1993 0:00 +Salt Lake City,,EGG,UT,6/1/1993 0:00 +Wolcott,,,NY,6/1/1993 0:00 +Bella Vista,,OTHER,CA,6/1/1993 1:00 +San Juan,,TRIANGLE,TX,6/1/1993 3:00 +Clinton,,OTHER,ME,6/1/1993 5:30 +Crofton,ORANGE,OTHER,MD,6/1/1993 6:30 +Sacramento,,OTHER,CA,6/1/1993 9:00 +Everglades,,FIREBALL,FL,6/1/1993 13:00 +Rogers,,CIGAR,AR,6/1/1993 13:00 +Pittsburgh,,SPHERE,PA,6/1/1993 14:00 +Gig Harbor,,DISK,WA,6/1/1993 16:00 +Newburgh,,DISK,NY,6/1/1993 17:00 +Colorado Springs,,CIGAR,CO,6/1/1993 17:30 +Mustang,,CYLINDER,OK,6/1/1993 19:00 +Camp Pendelton,,OVAL,CA,6/1/1993 20:00 +Oceanside,,OTHER,CA,6/1/1993 20:00 +Salton Sea,,VARIOUS,CA,6/1/1993 20:00 +Jamestown,,OTHER,NC,6/1/1993 21:00 +San Jose,ORANGE,CIRCLE,CA,6/1/1993 21:00 +Billings,,LIGHT,MT,6/1/1993 22:00 +Flagstaff,,,AZ,6/1/1993 22:00 +Oconomowoc,,CROSS,WI,6/1/1993 22:00 +Seymour,,DIAMOND,IN,6/1/1993 22:00 +Clarksdale,,OVAL,MS,6/1/1993 23:00 +Cumberland,,OVAL,TN,6/1/1993 23:00 +McClure,GREEN,FORMATION,OH,6/1/1993 23:00 +"West Coast, alt. apx 30' k, northerly flight",,OTHER,CA,6/3/1993 6:00 +Madison Heights,,CYLINDER,MI,6/4/1993 21:10 +Mammoth Hot Springs,YELLOW,CHEVRON,WY,6/4/1993 21:55 +Economy Borough,,TRIANGLE,PA,6/5/1993 0:15 +Worcester,,TEARDROP,MA,6/8/1993 16:09 +Lusby,,OTHER,MD,6/11/1993 1:00 +Kihei,,OVAL,HI,6/11/1993 22:00 +Sioux Falls,,FIREBALL,SD,6/13/1993 15:20 +Lafayette,,TEARDROP,LA,6/13/1993 21:45 +Traverse City,,TRIANGLE,MI,6/14/1993 20:00 +Des Moines,,RECTANGLE,IA,6/15/1993 0:00 +Fort Knox,,,KY,6/15/1993 0:00 +Joplin,,,MO,6/15/1993 0:00 +Rockville,,TEARDROP,MD,6/15/1993 0:00 +Anderson,BLUE,OTHER,CA,6/15/1993 1:30 +Milton,RED GREEN BLUE,CIRCLE,WA,6/15/1993 2:00 +Tracy,,LIGHT,CA,6/15/1993 2:00 +Grand Rapids,,CIGAR,MI,6/15/1993 2:30 +Memphis,,FIREBALL,TN,6/15/1993 3:00 +Kirkland,,CIRCLE,WA,6/15/1993 4:00 +Stony Brook,,CIRCLE,NY,6/15/1993 12:00 +Williamsburg,,TRIANGLE,MO,6/15/1993 12:00 +Newport News,,CIRCLE,VA,6/15/1993 13:30 +Beechnut,,TRIANGLE,TX,6/15/1993 19:00 +Ashville,,LIGHT,OH,6/15/1993 19:30 +Forest City,,OTHER,NC,6/15/1993 20:00 +Salem,,TRIANGLE,AL,6/15/1993 21:00 +Stonington,,LIGHT,CT,6/15/1993 22:00 +Trussville,,LIGHT,AL,6/15/1993 22:00 +Salisbury,,TRIANGLE,PA,6/15/1993 22:30 +NAS Whidby Island,,LIGHT,WA,6/15/1993 23:40 +Laramie,,,WY,6/17/1993 15:00 +Block Island,,OTHER,RI,6/18/1993 20:45 +Santa Cruz County,,OTHER,CA,6/20/1993 0:00 +Weymouth,,TRIANGLE,MA,6/20/1993 20:00 +Dover,GREEN,TEARDROP,DE,6/21/1993 0:00 +Colonial Beach,,CYLINDER,VA,6/22/1993 14:00 +Madison Heights,,CYLINDER,MI,6/25/1993 20:00 +Sierra,,OTHER,CA,6/25/1993 20:00 +Holy Cross Wilderness Area,,LIGHT,CO,6/26/1993 2:30 +Sun City,,LIGHT,CA,6/30/1993 1:30 +Matlock,,SPHERE,WA,6/30/1993 8:00 +Rochester,,VARIOUS,NY,6/30/1993 10:00 +Massachusets Turnpike,BLUE,OTHER,MA,6/30/1993 15:00 +no data,,TRIANGLE,NY,6/30/1993 18:00 +Milan,,TRIANGLE,OH,6/30/1993 19:00 +New York City,,OTHER,NY,6/30/1993 20:00 +Racine,,LIGHT,OH,6/30/1993 21:00 +Richalnds,,LIGHT,VA,6/30/1993 21:00 +Efland,,TRIANGLE,NC,7/1/1993 0:00 +Lynnwood,RED,LIGHT,WA,7/1/1993 1:00 +Hughson,,RECTANGLE,CA,7/1/1993 1:30 +Katy,,SPHERE,TX,7/1/1993 3:30 +Cottonwood Lakes Trail,,CIRCLE,CA,7/1/1993 12:00 +Houston,ORANGE,DISK,TX,7/1/1993 15:00 +Cottonwood Lakes Trail,,DIAMOND,CA,7/1/1993 22:00 +Oakdale,,TRIANGLE,CA,7/1/1993 22:00 +Oklahoma City,,TRIANGLE,OK,7/1/1993 22:00 +Manhatten Beach,RED,LIGHT,CA,7/3/1993 0:00 +New York City,,OTHER,NY,7/4/1993 3:00 +Gold Bar,,CIRCLE,WA,7/4/1993 21:30 +Tooele City,GREEN,SPHERE,UT,7/4/1993 23:45 +Papillion,,RECTANGLE,NE,7/5/1993 20:00 +Gorman,,SPHERE,CA,7/6/1993 0:26 +Paragon,,LIGHT,IN,7/7/1993 0:00 +Irvine,,DISK,CA,7/7/1993 23:00 +Marion,,CYLINDER,IN,7/7/1993 23:00 +Bowling Green,,CHEVRON,KY,7/9/1993 19:23 +New Egypt,GREEN,DISK,NJ,7/10/1993 2:00 +New Egypt,GREEN,CIRCLE,NJ,7/10/1993 2:15 +Ballinger,,TRIANGLE,TX,7/10/1993 23:00 +Little Fork,,OTHER,MN,7/10/1993 23:45 +Mishawaka,,CIRCLE,IN,7/12/1993 22:00 +Niagara Falls,,FORMATION,NY,7/12/1993 23:30 +Topeka,,TRIANGLE,KS,7/13/1993 21:00 +Cambridge,,,OH,7/15/1993 0:00 +Elkton,,LIGHT,MD,7/15/1993 17:30 +Minneapolis,,TRIANGLE,MN,7/15/1993 19:00 +Hilo,,FORMATION,HI,7/15/1993 21:00 +Magnolia,,CIRCLE,DE,7/15/1993 21:15 +Moscow,,OTHER,ID,7/15/1993 22:00 +Grand Coulee,RED,LIGHT,WA,7/15/1993 23:00 +Liberal,,OTHER,KS,7/18/1993 6:30 +S. Burlington,,TRIANGLE,VT,7/20/1993 18:00 +Maltby,RED GREEN,DIAMOND,WA,7/20/1993 21:30 +Honolulu,,,HI,7/20/1993 23:30 +Xenia,,LIGHT,OH,7/21/1993 23:30 +Wolcott,,CIGAR,CT,8/1/1993 15:00 +Warrenton,,CIRCLE,VA,8/1/1993 17:00 +Tillamoo,,LIGHT,OR,8/1/1993 21:30 +Newell,,CIRCLE,AR,8/4/1993 0:00 +LaHaina,,CHEVRON,HI,8/4/1993 20:30 +Marion,,OTHER,VA,8/8/1993 18:00 +Beloit,,TRIANGLE,WI,8/9/1993 2:45 +Chelmsford,,TRIANGLE,MA,8/9/1993 23:00 +Westminster,,TRIANGLE,CO,8/9/1993 23:50 +Bellevue,,SPHERE,WA,8/10/1993 20:30 +Frankfort,,DISK,NY,8/10/1993 21:00 +Julian,,OTHER,CA,8/12/1993 1:00 +Pembroke Pines,GREEN,SPHERE,FL,8/12/1993 2:00 +Fort Lauderdale,GREEN,SPHERE,FL,8/12/1993 4:36 +Jacksonville,BLUE,SPHERE,FL,8/12/1993 21:00 +Schuylerville,,SPHERE,NY,8/12/1993 22:00 +Lake of the Woods,,LIGHT,OR,8/12/1993 22:30 +Coatsville,,CIRCLE,IN,8/15/1993 0:00 +Bristow,,TRIANGLE,IN,8/15/1993 0:30 +Greenville,,CIRCLE,CA,8/15/1993 2:00 +Cloverdale,,FLASH,CA,8/15/1993 3:00 +Palm Desert,,TRIANGLE,CA,8/15/1993 4:00 +St. Augustine,,TRIANGLE,FL,8/15/1993 4:00 +Randle,,OTHER,WA,8/15/1993 16:00 +Menifee,RED BLUE,DISK,CA,8/15/1993 22:00 +Fort Collins,,,CO,8/19/1993 21:10 +Goshen,,TRIANGLE,OH,8/20/1993 2:00 +Bowling Green,,DISK,KY,8/20/1993 12:30 +Kennewick,,CIGAR,WA,8/20/1993 19:00 +Milwaukee,,OTHER,WI,8/20/1993 20:00 +Muncie,,TRIANGLE,IN,8/20/1993 22:00 +Selma,YELLOW,OVAL,NC,8/20/1993 23:15 +Lancaster,,TRIANGLE,CA,8/20/1993 23:30 +Biddeford,,DIAMOND,ME,8/21/1993 9:30 +Laramie,,VARIOUS,WY,8/23/1993 19:56 +Wilmer,,LIGHT,TX,8/25/1993 1:00 +Garner,,OTHER,NC,8/25/1993 2:00 +Lackawanna,,TRIANGLE,NY,9/1/1993 21:00 +Bethel,,LIGHT,ME,9/1/1993 22:00 +Burnt Ranch,,DISK,CA,9/3/1993 15:00 +Seattle,,TRIANGLE,WA,9/6/1993 0:30 +Phoenix,,RECTANGLE,AZ,9/10/1993 20:30 +Chicopee,,TRIANGLE,MA,9/10/1993 22:30 +Milan,,TRIANGLE,OH,9/11/1993 21:11 +Yuma,,TRIANGLE,AZ,9/13/1993 21:30 +Toledo,ORANGE BLUE,OVAL,OH,9/14/1993 21:00 +Fremont,RED GREEN,LIGHT,IN,9/15/1993 0:00 +North Bend,,TRIANGLE,WA,9/15/1993 0:00 +Long Beach,,CHEVRON,MS,9/15/1993 2:00 +Manchester,,DISK,NY,9/15/1993 3:00 +Reno,,FORMATION,NV,9/15/1993 16:00 +Bishop,,SPHERE,CA,9/15/1993 18:00 +Racine,,LIGHT,OH,9/15/1993 20:30 +San Francisco,BLUE,CIRCLE,CA,9/15/1993 21:00 +Fort Worth,,LIGHT,TX,9/15/1993 22:00 +Trumbull,,CIRCLE,CT,9/23/1993 19:00 +Tempe,,TRIANGLE,AZ,10/1/1993 2:00 +Delaware,,LIGHT,OH,10/1/1993 20:00 +Pryor,,LIGHT,MT,10/1/1993 20:00 +,,CIRCLE,MI,10/4/1993 17:30 +Peoria,,LIGHT,IL,10/10/1993 22:00 +Carthage,RED GREEN,OTHER,TN,10/10/1993 23:00 +Butte,,SPHERE,MT,10/15/1993 0:00 +Sulphur,,OVAL,LA,10/15/1993 15:30 +Garden Grove,,RECTANGLE,CA,10/15/1993 18:00 +Portsmouth,,LIGHT,NH,10/15/1993 18:00 +Owensboro,,SPHERE,KY,10/15/1993 20:00 +Moss Bluff,,DISK,LA,10/15/1993 21:00 +Woodward,,DISK,OK,10/16/1993 20:30 +Lihue,,DISK,HI,10/17/1993 18:00 +Wanakah,,TRIANGLE,NY,10/27/1993 21:38 +Bedford--Mt. Kisco,RED,TRIANGLE,NY,10/29/1993 21:30 +Eden,RED BLUE,CIRCLE,NY,10/30/1993 23:00 +Cape Coral,,TRIANGLE,FL,10/31/1993 20:00 +Sacramento,,TRIANGLE,CA,11/1/1993 23:00 +Trio,,CIRCLE,SC,11/1/1993 23:30 +Albuquerque,,CIGAR,NM,11/1/1993 23:45 +Evansville,,TRIANGLE,IN,11/2/1993 2:00 +Albuquerque,,TRIANGLE,NM,11/11/1993 22:00 +Rome City,,EGG,IN,11/15/1993 12:00 +Encinal,,RECTANGLE,TX,11/15/1993 14:30 +Gordon,RED,TRIANGLE,NE,11/15/1993 19:00 +Middleborough,,LIGHT,MA,11/17/1993 5:10 +Elkton,,TRIANGLE,MD,11/20/1993 3:30 +Fairbanks,BLUE,CIGAR,AK,11/23/1993 11:24 +Baton Rouge,ORANGE,TRIANGLE,LA,11/23/1993 23:30 +Harlowton,,FORMATION,MT,11/24/1993 19:00 +Mesquite,,OTHER,NV,11/25/1993 15:00 +Windham,,OTHER,NH,12/1/1993 2:30 +Arlington,,OVAL,TX,12/1/1993 14:00 +Poughkeepsie,,,NY,12/5/1993 1:00 +Morganton,,CIRCLE,NC,12/10/1993 19:30 +Lake Park,,OTHER,FL,12/14/1993 1:30 +Green Bay,,DISK,WI,12/15/1993 2:00 +Laguna Beach,,OVAL,CA,12/15/1993 17:00 +Warren,,TRIANGLE,PA,12/15/1993 20:00 +Valencia,,OVAL,CA,12/18/1993 13:00 +Ottumwa,,FORMATION,IA,12/19/1993 18:00 +Williamsport,,TRIANGLE,PA,12/20/1993 19:00 +Castaic Junction,,OVAL,CA,12/23/1993 12:00 +Bellflower,,LIGHT,MO,12/24/1993 21:00 +Topton,,,MS,12/28/1993 1:00 +El Segundo,,OTHER,CA,1/1/1994 0:00 +Honolulu,,LIGHT,HI,1/1/1994 0:00 +Interstate 10,GREEN,TRIANGLE,FL,1/1/1994 1:00 +Fort Lauderdale,,,FL,1/1/1994 3:00 +Ringwood,,,NJ,1/1/1994 18:00 +Redding,,TRIANGLE,CA,1/1/1994 20:00 +Albuquerque,,TRIANGLE,NM,1/3/1994 23:30 +Susquehanna,RED BLUE,TRIANGLE,PA,1/4/1994 23:00 +Cedar Key,,CHEVRON,FL,1/12/1994 18:00 +Midvale,,DISK,UT,1/14/1994 7:10 +Moorpark,,SPHERE,CA,1/14/1994 18:00 +Dillon,,SPHERE,CO,1/15/1994 0:00 +Acton,,,CA,1/15/1994 23:00 +Los Angeles,,FIREBALL,CA,1/17/1994 5:00 +Milford,,FLASH,IA,1/18/1994 19:00 +Summit,,DISK,SD,1/19/1994 19:00 +Los Angeles,,DISK,CA,1/24/1994 22:00 +Illinois,,LIGHT,IL,2/1/1994 0:00 +Savoonga,,LIGHT,AK,2/1/1994 22:16 +Lewiston,,TRIANGLE,ID,2/10/1994 23:55 +Salyersville,,TRIANGLE,KY,2/14/1994 17:30 +Kern County,,DISK,CA,2/15/1994 1:00 +New Mexico,,LIGHT,NM,2/21/1994 19:00 +Hendersonville,,VARIOUS,TN,2/22/1994 2:00 +Canandaigua,RED,RECTANGLE,NY,2/27/1994 0:15 +Menifee,,,CA,3/1/1994 1:00 +Lindsborg,,TRIANGLE,KS,3/2/1994 23:15 +Albany,,RECTANGLE,NY,3/3/1994 0:00 +Moab,,TRIANGLE,UT,3/3/1994 23:00 +Seattle,,FIREBALL,WA,3/8/1994 19:15 +Holland,,FORMATION,MI,3/8/1994 22:15 +Canton,,,MI,3/9/1994 21:00 +Whittier,,CIRCLE,CA,3/10/1994 18:00 +Wyoming,,DISK,MI,3/10/1994 18:00 +Olympia,YELLOW,OVAL,WA,3/10/1994 21:00 +Mesa,,TRIANGLE,AZ,3/10/1994 22:30 +Clovis,,LIGHT,CA,3/15/1994 0:30 +Avenal,,,CA,3/15/1994 1:00 +Columbus City,,CYLINDER,AL,3/15/1994 14:00 +Asheville,,DISK,NC,3/15/1994 21:00 +Flint,,TRIANGLE,MI,3/18/1994 5:10 +Sturgis,,DISK,MS,3/24/1994 23:30 +Oakland,,LIGHT,CA,3/28/1994 17:00 +Megargel,,,TX,4/1/1994 15:00 +Faribault,GREEN,FIREBALL,MN,4/1/1994 20:00 +Indiana,,DISK,PA,4/1/1994 21:24 +Cortlandt Manor,RED GREEN,DISK,NY,4/1/1994 22:00 +Taft,,LIGHT,CA,4/1/1994 22:50 +Lake Sonoma,,OTHER,CA,4/3/1994 23:30 +Hollywood,,CIRCLE,FL,4/4/1994 17:00 +Hollywood,ORANGE,CIRCLE,FL,4/4/1994 17:00 +Von Ormy,,OTHER,TX,4/4/1994 21:14 +Davis,,CIGAR,CA,4/6/1994 20:40 +Grosse Pointe,,LIGHT,MI,4/6/1994 22:00 +Jackson,,LIGHT,MI,4/7/1994 10:00 +Brookfield,,LIGHT,CT,4/7/1994 21:00 +Grosse Point,,LIGHT,MI,4/9/1994 21:00 +Willow Springs,,TRIANGLE,MO,4/10/1994 18:30 +Harrisonburg,,DISK,LA,4/11/1994 21:00 +Louisville,,TRIANGLE,KY,4/11/1994 23:00 +Summit Valley,GREEN,DISK,CA,4/14/1994 8:30 +Elkton,ORANGE YELLOW,OTHER,MD,4/15/1994 21:00 +Brooksville,,CHEVRON,FL,4/15/1994 22:00 +Prescott,,RECTANGLE,AZ,4/15/1994 23:00 +Mason City,,,IA,4/16/1994 1:30 +Virginia Beach,,DISK,VA,4/19/1994 22:00 +Albuquerque,ORANGE,SPHERE,NM,4/24/1994 0:01 +Albuquerque,,SPHERE,NM,4/25/1994 2:00 +Pascagoula,,FLASH,MS,4/25/1994 21:00 +Oswego,RED,TRIANGLE,NY,4/25/1994 22:00 +Capulin Mountain,,SPHERE,NM,4/30/1994 23:55 +Glencoe,,SPHERE,KY,5/1/1994 6:30 +Crystal Falls,,TRIANGLE,MI,5/1/1994 18:00 +Ocotillo Wells,,FIREBALL,CA,5/1/1994 20:00 +Great Falls,,SPHERE,MT,5/1/1994 22:00 +Phoenix,,,NY,5/5/1994 2:00 +Newport Beach,,FLASH,CA,5/5/1994 21:00 +Long Beach,,OVAL,CA,5/7/1994 9:00 +Frankfort,,,MI,5/10/1994 21:24 +New York City,,CIRCLE,NY,5/11/1994 22:00 +Mitchell,BLUE,,OR,5/12/1994 11:00 +Winslow,,DISK,ME,5/12/1994 22:15 +N. Seattle,,,WA,5/15/1994 0:00 +Portland,,SPHERE,OR,5/15/1994 14:00 +Zebulon,,OTHER,NC,5/15/1994 15:30 +Elkhart,,SPHERE,IN,5/15/1994 16:00 +El Centro,,TRIANGLE,CA,5/15/1994 17:00 +Fallon,,LIGHT,NV,5/15/1994 18:10 +Munds Park,,CHEVRON,AZ,5/15/1994 21:15 +Nixon,,DISK,TX,5/16/1994 23:30 +Millersburg,,LIGHT,MO,5/17/1994 20:00 +Liberal,,SPHERE,KS,5/20/1994 13:00 +Pittsburgh,BLUE,OVAL,PA,5/20/1994 23:59 +logansport,,DISK,IN,5/22/1994 15:00 +Bend,,DISK,OR,5/23/1994 0:45 +Sacramento,,TRIANGLE,CA,5/26/1994 22:37 +Marlington,,DISK,WV,5/31/1994 20:00 +Wilson,,LIGHT,WI,6/1/1994 1:00 +Atlanta,,OTHER,TX,6/1/1994 2:00 +Lahaina,,CIRCLE,HI,6/1/1994 2:30 +Raymore,,TRIANGLE,MO,6/1/1994 3:00 +Whithouse,,,OH,6/1/1994 6:00 +Franklin,,DISK,KY,6/1/1994 6:30 +Eagle Butte,,FORMATION,SD,6/1/1994 8:00 +Elkton,,,MD,6/1/1994 10:28 +Dayton,,OVAL,OH,6/1/1994 12:00 +Springfield,,CIRCLE,MO,6/1/1994 14:00 +Bloomingdale,,SPHERE,IL,6/1/1994 16:00 +Montgomery,,RECTANGLE,AL,6/1/1994 17:00 +Scottville,,VARIOUS,MI,6/1/1994 17:00 +Lacey,,RECTANGLE,WA,6/1/1994 18:00 +Farmington,,TRIANGLE,NM,6/1/1994 19:00 +Lindsay,,SPHERE,CA,6/1/1994 19:00 +Georgia,,FLASH,GA,6/1/1994 21:00 +Montgomery,,TRIANGLE,AL,6/1/1994 21:00 +North Bergen,BLUE,DISK,NJ,6/1/1994 21:00 +South Yarmouth,GREEN,LIGHT,MA,6/1/1994 21:00 +Las Vegas,,TRIANGLE,NV,6/1/1994 21:30 +Bethlehem,,TRIANGLE,PA,6/1/1994 22:00 +Montgomery,,TRIANGLE,AL,6/1/1994 22:00 +Morgan Hill,,DISK,CA,6/1/1994 22:00 +Lawrencbeurg,,OVAL,KY,6/1/1994 23:00 +Galveston,,TRIANGLE,TX,6/4/1994 10:00 +McDonough,RED ORANGE,OTHER,GA,6/5/1994 0:35 +Hyannis,,OTHER,MA,6/5/1994 19:00 +Vashon Island,,,WA,6/6/1994 3:30 +Idaho Falls,,VARIOUS,ID,6/8/1994 22:30 +Waterbury,,CIRCLE,CT,6/10/1994 21:00 +Boyden,,FLASH,IA,6/10/1994 23:59 +Macy,,FIREBALL,NE,6/11/1994 1:30 +Boston,RED,TRIANGLE,MA,6/11/1994 21:00 +Sawgrass,,OTHER,FL,6/12/1994 21:30 +Sawgrass,RED,OTHER,FL,6/12/1994 21:30 +Arkansas,,TRIANGLE,AR,6/14/1994 1:30 +Malibu,ORANGE,CIGAR,CA,6/14/1994 2:00 +Lemoore,,TRIANGLE,CA,6/15/1994 3:00 +Jupiter,,LIGHT,FL,6/15/1994 14:00 +Tallahassee,,EGG,FL,6/15/1994 15:00 +Daytona Beach,,OTHER,FL,6/15/1994 19:00 +Berrien Center,,TRIANGLE,MI,6/15/1994 20:00 +Auburn Lake Park,,OTHER,OH,6/15/1994 21:00 +Estill Springs,,LIGHT,TN,6/15/1994 21:00 +Fredericktown,,SPHERE,OH,6/15/1994 21:00 +Coquina Key,,,FL,6/15/1994 22:00 +Ferndale,,CYLINDER,MD,6/15/1994 22:00 +Montgomery,,TRIANGLE,AL,6/15/1994 22:00 +St. Louis,,TRIANGLE,MO,6/15/1994 22:00 +Darby,,,MT,6/15/1994 23:00 +Drain,,LIGHT,OR,6/15/1994 23:00 +Federal Way,,,WA,6/15/1994 23:00 +Cheyenne,,LIGHT,WY,6/15/1994 23:45 +Canton,,CIRCLE,OH,6/16/1994 15:00 +Old Bridge,GREEN,DISK,NJ,6/17/1994 21:50 +Richmond,,OVAL,VA,6/18/1994 23:00 +Oroville,,TRIANGLE,WA,6/20/1994 21:00 +Sioux Falls,,SPHERE,SD,6/21/1994 21:30 +Los Angeles,,DISK,CA,6/23/1994 21:00 +Dresden,,DISK,ME,6/23/1994 22:00 +Burbank,,LIGHT,CA,6/26/1994 21:00 +Dull Center,,LIGHT,WY,6/29/1994 23:00 +Burbank,,,CO,6/30/1994 0:00 +Spotsylvania,,DISK,VA,6/30/1994 0:00 +New York City,ORANGE,TRIANGLE,NY,6/30/1994 1:00 +Berea,,RECTANGLE,OH,6/30/1994 19:00 +Springfield,,TRIANGLE,MA,6/30/1994 23:00 +Weogufka,,LIGHT,AL,6/30/1994 23:45 +Placentia,,LIGHT,CA,7/1/1994 0:00 +Copake,,LIGHT,NY,7/1/1994 1:00 +Indianapolis,,OTHER,IN,7/1/1994 9:00 +Ben Lomond,,LIGHT,CA,7/1/1994 12:00 +Canton,,CIRCLE,OH,7/1/1994 16:00 +Easthampton,,TRIANGLE,MA,7/1/1994 19:28 +Ink-O-Pah,,OTHER,CA,7/1/1994 21:00 +Goshen,,TRIANGLE,OH,7/1/1994 23:30 +Erie,,RECTANGLE,PA,7/3/1994 18:00 +Oregon City,,,OR,7/4/1994 0:00 +Marion,,TRIANGLE,IL,7/4/1994 20:00 +Emporia,RED,,KS,7/5/1994 2:30 +Priest River,,DISK,ID,7/8/1994 1:30 +Lake Perris,,TRIANGLE,CA,7/9/1994 23:00 +Clovis,,TRIANGLE,CA,7/9/1994 23:15 +Defiance,,LIGHT,OH,7/10/1994 2:00 +New York City,,DISK,NY,7/11/1994 17:10 +Evansville,,CIRCLE,IN,7/12/1994 6:45 +Sherwood,,,OH,7/12/1994 10:00 +Osage Beach,,VARIOUS,MO,7/12/1994 21:40 +Canby,,,OR,7/13/1994 12:36 +Havelock,,,NC,7/14/1994 8:00 +Branchville,,CIRCLE,NJ,7/14/1994 20:00 +California desert,,TRIANGLE,CA,7/15/1994 0:00 +California desert,,TRIANGLE,CA,7/15/1994 0:00 +Kernville,,FIREBALL,CA,7/15/1994 1:00 +Safford,,SPHERE,AZ,7/15/1994 3:00 +Las Vegas,,TRIANGLE,NV,7/15/1994 9:00 +Clyde,,CIRCLE,TX,7/15/1994 12:00 +Hillsboro,,,OR,7/15/1994 12:00 +Hillsboro,,CIGAR,OR,7/15/1994 12:00 +Rehoboth Beach,,SPHERE,DE,7/15/1994 14:00 +Caldwell,,TRIANGLE,ID,7/15/1994 15:30 +Sebago Lake,,LIGHT,ME,7/15/1994 20:30 +Aventura,,EGG,FL,7/15/1994 21:00 +Wilkes-Barre,,LIGHT,PA,7/15/1994 21:30 +Raymond,,OTHER,MS,7/15/1994 22:00 +Big Bear Lake,,TRIANGLE,CA,7/17/1994 2:00 +Gales Ferry,,TRIANGLE,CT,7/17/1994 22:30 +Moses Lake,,TRIANGLE,WA,7/20/1994 22:00 +Hot Springs,,LIGHT,SD,7/21/1994 22:00 +Goshen,,TRIANGLE,OH,7/21/1994 23:15 +Corning,,TRIANGLE,NY,7/23/1994 1:00 +Cumberland,,,MD,7/24/1994 22:30 +San Diego,,RECTANGLE,CA,7/25/1994 0:30 +Boring,,,OR,7/26/1994 0:00 +Apex,YELLOW,EGG,NC,7/27/1994 22:00 +Bloom township,,LIGHT,OH,8/1/1994 0:00 +Tekoa,,TRIANGLE,WA,8/1/1994 0:00 +Renton,,,WA,8/1/1994 0:01 +Los Gatos,RED YELLOW GREEN BLUE,,CA,8/1/1994 12:20 +San Diego,ORANGE,FLASH,CA,8/1/1994 17:30 +Beloit,,TRIANGLE,WI,8/1/1994 22:30 +Kawashaway,,LIGHT,WI,8/1/1994 23:00 +Stone Harbor,GREEN,LIGHT,NJ,8/1/1994 23:00 +Salt Lake City,,LIGHT,UT,8/4/1994 19:00 +Opp,,CIRCLE,AL,8/4/1994 22:00 +Sedona,,SPHERE,AZ,8/4/1994 23:00 +Port Richey,,EGG,FL,8/7/1994 17:00 +New York City,,OVAL,NY,8/7/1994 22:00 +Ann Arbor,,OTHER,MI,8/7/1994 22:30 +Ann Arbor,RED,OTHER,MI,8/7/1994 22:30 +Ypsilanti,,FORMATION,MI,8/7/1994 22:30 +Everett,,TRIANGLE,WA,8/9/1994 23:00 +Grizzly Mountain,,LIGHT,CA,8/10/1994 1:30 +Macwahoc,,DISK,ME,8/10/1994 2:00 +Conover,,FIREBALL,NC,8/10/1994 21:30 +Fort Irwin,,,CA,8/10/1994 22:40 +Rock River,,DISK,WY,8/15/1994 0:00 +Springfield,,,IL,8/15/1994 3:45 +East Bernstadt,,CIGAR,KY,8/15/1994 11:00 +Glenwood Springs,,LIGHT,CO,8/15/1994 18:30 +Arlington,,DIAMOND,TX,8/15/1994 19:30 +Denver,,OTHER,CO,8/15/1994 20:00 +Gilette,,FIREBALL,WY,8/15/1994 22:00 +Hazleton,,,PA,8/15/1994 22:00 +Bakersfield,,TRIANGLE,CA,8/15/1994 22:30 +Bakersfield,,TRIANGLE,CA,8/15/1994 22:45 +Earlham,,RECTANGLE,IA,8/15/1994 23:00 +Rancho Mirage,,RECTANGLE,CA,8/15/1994 23:50 +Dillion's Beach,GREEN,FIREBALL,CA,8/17/1994 22:00 +Morrow,,DISK,OH,8/18/1994 0:00 +Navajo Point,,LIGHT,AZ,8/19/1994 22:00 +Normandy Beach,,TRIANGLE,NJ,8/20/1994 19:00 +Napa,,LIGHT,CA,8/20/1994 20:00 +Flint,,DISK,MI,8/20/1994 21:00 +Carthage,,,MO,8/20/1994 22:30 +Yuma,RED,OVAL,AZ,8/20/1994 23:00 +Circleville,,TRIANGLE,OH,8/21/1994 22:35 +Belfast,,TRIANGLE,ME,8/24/1994 23:30 +New York City,,EGG,NY,8/25/1994 11:45 +New York City,,EGG,NY,8/25/1994 12:00 +Wadsworth,,SPHERE,OH,8/25/1994 13:00 +Gila Bend,,OTHER,AZ,8/25/1994 20:20 +Swanton,,OTHER,OH,8/25/1994 22:00 +Alvaton,,TRIANGLE,GA,8/25/1994 23:00 +Crossville,YELLOW,TRIANGLE,IN,8/26/1994 0:00 +Fort McCoy,,DISK,WI,8/26/1994 13:00 +San Diego,,CHEVRON,CA,8/28/1994 20:15 +Stockton,,CIRCLE,CA,8/31/1994 2:30 +Canton,,,OH,9/1/1994 0:00 +PottsVille,ORANGE,SPHERE,AR,9/1/1994 1:30 +New York City,,LIGHT,NY,9/1/1994 2:00 +Grants Pass,,VARIOUS,OR,9/1/1994 11:00 +Sitka,,OVAL,OR,9/1/1994 16:00 +Tucumcari,,TRIANGLE,NM,9/1/1994 16:00 +San Francisco,,SPHERE,CA,9/1/1994 18:00 +Ewa Beach,,CIGAR,HI,9/4/1994 17:00 +Chico,YELLOW GREEN,FIREBALL,CA,9/9/1994 6:30 +Wurtsboro,,CIRCLE,NY,9/14/1994 23:30 +Andover,,CIGAR,MA,9/15/1994 2:00 +Melbourne,,DISK,AR,9/15/1994 15:30 +Lake Travis,,OTHER,TX,9/15/1994 18:50 +Arlington,,,WA,9/15/1994 19:30 +Pittsburgh,,DISK,PA,9/15/1994 19:30 +Kingston,,TRIANGLE,NY,9/15/1994 20:00 +North Washington,,OVAL,PA,9/15/1994 22:00 +Spokane,,DISK,WA,9/15/1994 22:00 +Carbonado,,OVAL,WA,9/16/1994 22:00 +Carbonado,ORANGE,VARIOUS,WA,9/16/1994 22:00 +Elizabeth,,DISK,NJ,9/17/1994 18:50 +Dickson City,,FIREBALL,PA,9/20/1994 6:50 +Rancho Cordova,,FIREBALL,CA,9/20/1994 20:00 +Higginsville,,OTHER,MO,9/20/1994 22:00 +Hinckley,,CIRCLE,OH,9/20/1994 23:45 +Montello,BLUE,OTHER,NV,9/21/1994 17:45 +Montello,,CIRCLE,NV,9/21/1994 18:30 +Orcas Island,BLUE,LIGHT,WA,9/24/1994 20:00 +Lewisburg,,DISK,TN,9/27/1994 23:20 +Pawnee,RED,TRIANGLE,OK,10/1/1994 11:30 +New York City,,DISK,NY,10/1/1994 13:13 +Tylertown,,VARIOUS,MS,10/1/1994 17:00 +Chicopee,,VARIOUS,MA,10/1/1994 20:00 +Santa Barbara,,TRIANGLE,CA,10/1/1994 20:00 +Warsaw,,CIGAR,MO,10/1/1994 21:00 +Las Vegas,GREEN,CIRCLE,NV,10/1/1994 23:00 +Fredericksburg,ORANGE,DISK,PA,10/1/1994 23:30 +Bingen,,FIREBALL,WA,10/2/1994 0:00 +Circleville,,CIRCLE,OH,10/5/1994 19:00 +Boynton Beach,,OTHER,FL,10/8/1994 13:00 +Hialeah,,SPHERE,FL,10/9/1994 21:05 +Mercedes,,CIGAR,TX,10/10/1994 15:00 +Burnt Hills,,RECTANGLE,NY,10/10/1994 18:30 +Pinebergen,,LIGHT,AR,10/10/1994 22:00 +Hot Springs,,TRIANGLE,SD,10/11/1994 0:00 +Jackson,,TRIANGLE,NJ,10/11/1994 2:00 +Riverside,,CHEVRON,CA,10/11/1994 4:00 +Schenectady,,OTHER,NY,10/12/1994 11:55 +Monticello,,CHEVRON,KY,10/12/1994 15:00 +Farmington,,CYLINDER,MO,10/13/1994 19:30 +Goodlettsville,ORANGE,VARIOUS,TN,10/14/1994 4:00 +Citra,,SPHERE,FL,10/14/1994 19:30 +Cornersville,,CIRCLE,TN,10/14/1994 20:30 +Stone Ridge,,OVAL,NY,10/15/1994 13:00 +Circleville,,DISK,OH,10/15/1994 14:00 +Bellevue,,,WA,10/15/1994 16:25 +Ithaca,RED GREEN,LIGHT,NY,10/15/1994 18:00 +Neah Bay,,SPHERE,WA,10/15/1994 19:00 +Oxley,RED,FIREBALL,AR,10/15/1994 19:00 +Milwaukee,RED,TRIANGLE,WI,10/15/1994 20:00 +Angola,BLUE,DISK,IN,10/15/1994 21:00 +Outside of Delaware,,TEARDROP,OH,10/15/1994 21:00 +Pittsburgh,,LIGHT,PA,10/15/1994 22:00 +Molalla,,OTHER,OR,10/15/1994 23:00 +Marshall,,DISK,TX,10/15/1994 23:15 +Kannapolis,,LIGHT,NC,10/17/1994 10:35 +Berkshire,,TRIANGLE,NY,10/17/1994 21:30 +Random Lake,,VARIOUS,AZ,10/18/1994 20:30 +Medina,ORANGE,SPHERE,OH,10/19/1994 7:30 +Plant City,,DISK,FL,10/20/1994 7:30 +Marlette,,FLASH,MI,10/20/1994 17:00 +Stone Ridge,,TRIANGLE,NY,10/20/1994 20:30 +Stone Ridge,,LIGHT,NY,10/20/1994 22:00 +Taunton,,CIRCLE,MA,10/20/1994 23:40 +Berkeley,,LIGHT,CA,10/22/1994 22:00 +Reston,,TRIANGLE,VA,10/24/1994 0:00 +Yardville,,CIRCLE,PA,10/24/1994 13:30 +Charlotte,,DISK,NC,10/24/1994 14:30 +San Antonio,,OTHER,TX,10/25/1994 1:30 +Fish Point,,FIREBALL,MI,10/25/1994 21:00 +Spring Hill,,CIRCLE,FL,10/30/1994 7:00 +Spring Valley,,LIGHT,CA,10/31/1994 18:00 +White Pine,,SPHERE,TN,10/31/1994 21:00 +Trezevant,,TRIANGLE,TN,11/1/1994 1:00 +Ypsilanti,,,MI,11/1/1994 22:00 +Lower Lake,,DISK,CA,11/1/1994 22:30 +Palmer,,LIGHT,AK,11/3/1994 20:30 +Hwy I-40,,OVAL,AZ,11/5/1994 14:00 +Alston,,TRIANGLE,MI,11/5/1994 21:00 +San Antonio,,CIRCLE,TX,11/10/1994 7:13 +Vidor,,,TX,11/10/1994 23:00 +Plymouth,,TRIANGLE,IN,11/11/1994 22:00 +Plymouth,,DIAMOND,IN,11/11/1994 22:20 +St. Florian,,DISK,AL,11/12/1994 12:00 +San Diego,,OTHER,CA,11/14/1994 20:00 +Inverness,,RECTANGLE,FL,11/14/1994 21:09 +Lucedale,,DISK,MS,11/15/1994 4:00 +Mountain City,,TRIANGLE,TN,11/15/1994 19:00 +Atlanta,,LIGHT,GA,11/15/1994 21:00 +Portsmouth,GREEN,FLASH,VA,11/15/1994 21:45 +Liberty,GREEN,FIREBALL,KY,11/15/1994 23:00 +Coram,,OTHER,NY,11/15/1994 23:25 +Petoskey,,TRIANGLE,MI,11/16/1994 19:15 +Glendale,BLUE,SPHERE,CA,11/23/1994 3:00 +Greensboro,,CIGAR,NC,11/26/1994 17:00 +Spokane,,,WA,11/27/1994 20:00 +Blanchester,,TRIANGLE,OH,11/27/1994 22:00 +Phillips,,LIGHT,NE,11/29/1994 18:00 +Sumter,,CIRCLE,SC,12/5/1994 23:00 +Farmington,,CHEVRON,MO,12/6/1994 21:20 +McCall,,FIREBALL,ID,12/8/1994 2:45 +Cromwell,,,CT,12/9/1994 1:00 +Lu Verne,ORANGE,LIGHT,IA,12/9/1994 20:30 +Temecula,,DISK,CA,12/10/1994 18:40 +Greensboro,GREEN,OVAL,NC,12/12/1994 23:00 +Murphy,,,NC,12/13/1994 18:55 +Vienna,,OTHER,OH,12/14/1994 0:00 +Youngstown,,TEARDROP,OH,12/15/1994 1:00 +El Toro,,LIGHT,CA,12/15/1994 5:00 +Alliance,,FORMATION,OH,12/15/1994 21:00 +Indianapolis,,TRIANGLE,IN,12/15/1994 21:30 +Carpinteria,,,CA,12/15/1994 22:00 +Knoxville,,VARIOUS,IA,12/15/1994 23:30 +Chaska,,OVAL,MN,12/17/1994 18:30 +Taunton,,OTHER,MA,12/20/1994 20:00 +Sloatsburg,,,NY,12/23/1994 21:00 +Seattle,,LIGHT,WA,12/24/1994 1:39 +Sherman Oaks,,TRIANGLE,CA,12/24/1994 21:00 +Huntington,,,WV,12/25/1994 4:30 +Cincinnati,ORANGE,CIRCLE,OH,12/25/1994 23:00 +West Hills,,FIREBALL,CA,12/26/1994 19:30 +Lakeview,,LIGHT,MI,12/29/1994 19:00 +La Crosse,,DELTA,WA,12/29/1994 21:45 +Oppenhium,,OVAL,NY,12/29/1994 23:10 +Los Angeles,ORANGE,LIGHT,CA,12/30/1994 2:05 +Roy,,,WA,12/30/1994 4:00 +West Union,ORANGE,,OH,12/31/1994 18:00 +Gig Harbor,RED,,WA,12/31/1994 18:32 +Orem,,,UT,12/31/1994 22:00 +Fontana,RED,LIGHT,CA,12/31/1994 22:30 +Pacific Grove,,,CA,1/1/1995 0:02 +Mt. Charleston,,OVAL,NV,1/1/1995 1:00 +El Granada,,FIREBALL,CA,1/1/1995 2:00 +Kansas,,LIGHT,KS,1/1/1995 3:00 +Travelers Rest,,TRIANGLE,SC,1/1/1995 6:00 +Oxnard,,VARIOUS,CA,1/1/1995 10:00 +Cedar Key,,TRIANGLE,FL,1/1/1995 15:00 +Greenwood,RED,SPHERE,SC,1/1/1995 15:00 +Tucson,,TRIANGLE,AZ,1/1/1995 21:00 +Shelton,,,WA,1/1/1995 22:00 +Anaheim,,,CA,1/1/1995 22:45 +Southampton,,LIGHT,NY,1/1/1995 23:00 +New Port Richey,,,FL,1/2/1995 6:25 +Tewksbury,,,MA,1/3/1995 4:45 +Gladstone,,TRIANGLE,OR,1/3/1995 5:00 +Marysville,BLUE,TRIANGLE,WA,1/3/1995 18:00 +Redmond,,,WA,1/3/1995 20:49 +Seattle,,,WA,1/3/1995 21:55 +Salinas,,,CA,1/3/1995 23:45 +Rodney,,TRIANGLE,MI,1/4/1995 0:54 +Noxen,RED BLUE,,PA,1/4/1995 21:55 +Seattle,,LIGHT,WA,1/5/1995 9:50 +Evart,,,MI,1/5/1995 17:30 +Sumner,,DISK,WA,1/5/1995 20:10 +Shelby,,,MT,1/5/1995 21:00 +Sumner,,DISK,WA,1/5/1995 21:05 +Warm Beach,,,WA,1/6/1995 0:15 +Glendo,,,WY,1/6/1995 17:30 +Makapiu Point,,,HI,1/7/1995 5:00 +Lake Grove,,DISK,OR,1/7/1995 14:00 +Malmstrom AFB,,,MT,1/7/1995 15:00 +Edison,,FIREBALL,NJ,1/7/1995 17:00 +McMinnville,,,TN,1/7/1995 17:30 +Enterprise,,,MS,1/8/1995 4:00 +Horton,RED,,MI,1/8/1995 23:00 +Marion,,,NY,1/9/1995 3:30 +Port Charlotte,,,FL,1/9/1995 19:00 +Memphis,,,TN,1/9/1995 23:55 +Riverside,,,CA,1/10/1995 7:15 +Cleveland Heights,,SPHERE,OH,1/10/1995 21:00 +Seatac,,,WA,1/11/1995 7:00 +Snohomish,,,WA,1/12/1995 0:45 +Mojave Desert,,CIRCLE,CA,1/12/1995 1:00 +Olalla,,,WA,1/12/1995 22:00 +Napoleon,,CIRCLE,MI,1/13/1995 22:30 +Beaverton,,,OR,1/14/1995 22:00 +Blythe,,LIGHT,CA,1/15/1995 2:00 +McKinleyville,GREEN BLUE,,CA,1/15/1995 2:30 +Flint,,TRIANGLE,MI,1/15/1995 4:30 +Mount Carroll,,TRIANGLE,IL,1/15/1995 4:30 +Gorham,,,ME,1/15/1995 12:00 +Morton,,,WA,1/15/1995 21:00 +Plymouth Meeting,,RECTANGLE,PA,1/15/1995 21:00 +Cleburne,,TRIANGLE,TX,1/15/1995 22:00 +Poulsbo,,,WA,1/15/1995 23:43 +Renton,,,WA,1/16/1995 0:20 +Bend,,,OR,1/17/1995 4:30 +Anchorage,,LIGHT,AK,1/17/1995 22:45 +Seattle,BLUE,,WA,1/17/1995 23:07 +Moorehead,RED,,MN,1/17/1995 23:45 +Grangeville,,,ID,1/18/1995 19:00 +Deer Lodge,,,MT,1/18/1995 19:30 +Richland,GREEN,,WA,1/19/1995 19:20 +West Bend,,CIRCLE,WI,1/20/1995 19:00 +Branford,,,CT,1/20/1995 19:40 +Portland,,,OR,1/21/1995 5:45 +Seymour,RED,,TN,1/21/1995 21:50 +Tonasket,,RECTANGLE,WA,1/22/1995 3:00 +Vienna,,,VA,1/22/1995 17:50 +Seattle,,,WA,1/22/1995 20:00 +Renton,,,WA,1/22/1995 21:45 +Seattle,,,WA,1/23/1995 6:15 +Ladysmith,,,WI,1/23/1995 23:42 +Lebanon,,,TN,1/24/1995 4:42 +Midland,,,TX,1/24/1995 21:00 +San Angelo,,,TX,1/24/1995 21:15 +Joyce,RED,,WA,1/25/1995 15:23 +Philadelphia,,TRIANGLE,PA,1/25/1995 22:40 +Concrete,,LIGHT,WA,1/26/1995 19:00 +West South Port,,,ME,1/26/1995 19:00 +Seatac,RED,LIGHT,WA,1/27/1995 6:26 +Burbank,,,CA,1/28/1995 10:53 +Elbridge,,OTHER,NY,1/30/1995 6:35 +Jacksonville,,,FL,1/30/1995 20:00 +Olympia,RED,,WA,1/30/1995 20:00 +Harrisburg,,,PA,1/30/1995 20:29 +Spanaway,,,WA,1/31/1995 2:00 +Alexandria,,,LA,1/31/1995 19:32 +Mason,,,MI,1/31/1995 20:07 +Eaton Rapids,,,MI,1/31/1995 20:10 +Bolivar - 170th,,TRIANGLE,MO,2/1/1995 4:00 +Fort Lewis,GREEN,,WA,2/1/1995 12:00 +Seatac,RED,,WA,2/2/1995 4:00 +Denmark,,CONE,WI,2/2/1995 19:15 +Eastport,,,MI,2/2/1995 20:00 +Traverse City,,,MI,2/2/1995 20:10 +Shady Grove,GREEN,,OR,2/2/1995 23:00 +Romulus,,,MI,2/3/1995 21:30 +Fontana,,,CA,2/3/1995 23:25 +New Orleans,,,LA,2/4/1995 0:00 +Lynnwood,,,WA,2/4/1995 15:05 +Lewiston,RED,,MT,2/4/1995 17:33 +Lewiston,,,MT,2/4/1995 18:45 +Chimacum,,,WA,2/4/1995 19:00 +Port Hadlock,,,WA,2/4/1995 19:10 +Atlanta,,,GA,2/5/1995 0:00 +Greensville,,,NC,2/5/1995 1:30 +Bloomington,,,IL,2/6/1995 0:00 +Little Rock,,DISK,AR,2/6/1995 18:28 +Nine Mile Falls,,,WA,2/6/1995 19:30 +Hamilton,,LIGHT,TX,2/6/1995 20:30 +Raymond,,,WA,2/7/1995 0:00 +Seattle,,,WA,2/7/1995 0:00 +Quilcene,,,WA,2/7/1995 4:55 +Renton,GREEN,,WA,2/7/1995 16:30 +Tacoma,,,WA,2/7/1995 20:35 +Shawnee,RED,,OK,2/7/1995 21:10 +Tidewater,,,OR,2/7/1995 23:00 +Tillamook,RED BLUE,,OR,2/8/1995 0:00 +North Bend,,,WA,2/8/1995 5:30 +Renton,,,WA,2/8/1995 18:32 +Auburn,,,ME,2/9/1995 0:00 +Huntington Beach,ORANGE,,CA,2/9/1995 0:00 +Anaheim,,,CA,2/9/1995 17:40 +Vancouver,,,WA,2/9/1995 19:00 +Vancouver,GREEN,,WA,2/9/1995 19:00 +Billings,,,MT,2/10/1995 0:00 +Oregon City,,,OR,2/10/1995 0:00 +Seattle,,,WA,2/10/1995 0:00 +Downey,,CIRCLE,CA,2/10/1995 20:00 +Cannon Beach,,,OR,2/10/1995 20:30 +Elizabethtown,,,KY,2/12/1995 0:45 +McKinleyville,,,CA,2/12/1995 6:25 +El Cerrito,RED,,CA,2/12/1995 21:00 +Gustavus,ORANGE,,AK,2/12/1995 22:30 +Cheboygan,,,MI,2/13/1995 22:15 +Chico,,,CA,2/14/1995 23:28 +Nashville,,,TN,2/15/1995 3:58 +Ohio,,DISK,OH,2/15/1995 4:00 +Fair Oaks,,,NY,2/15/1995 4:40 +Vaiden,,CIGAR,MS,2/15/1995 7:30 +North Washington,,SPHERE,PA,2/15/1995 20:00 +Phoenix,,LIGHT,AZ,2/15/1995 20:00 +Sacramento,,,CA,2/15/1995 20:00 +Liberal,,,KS,2/15/1995 21:00 +Santa Rosa,,,CA,2/15/1995 21:00 +Lyndhurst,,,OH,2/15/1995 21:30 +Lyndhurst,BLUE,,OH,2/15/1995 21:30 +Johnson City,,,TN,2/16/1995 0:00 +Sacramento,,,CA,2/16/1995 0:00 +Albuquerque,,,NM,2/16/1995 19:26 +Lyndhurst,BLUE,TRIANGLE,OH,2/16/1995 21:25 +Kalamazoo,,,MI,2/16/1995 23:10 +PawPaw,,,MI,2/16/1995 23:15 +Des Plaines,,,IL,2/16/1995 23:45 +Kalamazoo,,,MI,2/16/1995 23:45 +Seatac,,,WA,2/17/1995 22:30 +Andover,,SPHERE,MA,2/18/1995 10:00 +Vantage,,,WA,2/18/1995 12:00 +Warren,,,IL,2/18/1995 18:00 +Kalamazoo,,,MI,2/18/1995 21:00 +Fargo,,,ND,2/19/1995 0:05 +Mountlake Terrace,,,WA,2/19/1995 0:15 +Fenton,,,MI,2/19/1995 19:00 +Seattle,,,WA,2/19/1995 19:00 +Phoenix,,,AZ,2/19/1995 22:00 +North Cove,,FIREBALL,WA,2/20/1995 2:30 +Albuquerque,,,NM,2/20/1995 13:00 +Seattle,,,WA,2/20/1995 13:05 +Warren,,,IL,2/20/1995 18:00 +Redding,,TRIANGLE,CA,2/20/1995 19:00 +Lake Tahuyeh,,,WA,2/21/1995 1:10 +Sprague River,,,OR,2/21/1995 3:00 +Council Bluffs,,,IA,2/21/1995 19:00 +Lynnwood,,,WA,2/21/1995 19:00 +Colville Reservation,,,WA,2/21/1995 20:30 +Yakima,RED,,WA,2/21/1995 21:30 +St. Louis,,,MO,2/22/1995 1:15 +Woodinville,,,WA,2/22/1995 2:30 +Vancouver,GREEN,,WA,2/22/1995 5:36 +Seattle,GREEN,,WA,2/22/1995 5:37 +Mill Creek,BLUE,,WA,2/22/1995 5:45 +Kent,,,WA,2/22/1995 20:00 +Auburn,,,WA,2/22/1995 23:00 +Seattle,GREEN,,WA,2/23/1995 0:00 +Tacoma,,,WA,2/23/1995 0:05 +Hage,,,FL,2/23/1995 2:45 +Snohomish,,,WA,2/23/1995 18:20 +El Centro,,,CA,2/23/1995 21:00 +Lexington,,,KY,2/23/1995 22:00 +Redding,,,CA,2/23/1995 22:00 +Fernley,RED,,NV,2/24/1995 20:45 +Cam Highway,,,HI,2/24/1995 23:00 +Mercer Island,RED BLUE,,WA,2/24/1995 23:45 +Portland,GREEN,,OR,2/25/1995 20:20 +Tallassee,,,TN,2/26/1995 20:00 +Stanwood,,,WA,2/26/1995 21:00 +Mt. Vernon,,,WA,2/26/1995 23:30 +Harrisonburg,,,VA,2/27/1995 12:00 +Mukilteo,,,WA,2/27/1995 19:59 +Electric City,,,WA,2/28/1995 5:00 +Harrisonburg,,,VA,2/28/1995 19:00 +Eastgate,,,WA,2/28/1995 22:00 +Greenville,,LIGHT,IL,3/1/1995 21:00 +Sedalia,,,MO,3/1/1995 21:00 +Redmond,RED,,WA,3/2/1995 22:30 +Prescott Valley,,OVAL,AZ,3/4/1995 0:00 +Folsom,,,NJ,3/4/1995 16:32 +Anaheim,,OTHER,CA,3/5/1995 12:00 +Columbus,,,OH,3/6/1995 0:55 +Hilltop,,,NJ,3/6/1995 19:00 +Florence,,,OR,3/6/1995 19:10 +Mountain City,,,TN,3/6/1995 19:45 +Ft. Bragg,,,CA,3/6/1995 22:09 +Burley,,,WA,3/6/1995 23:30 +Tucumcari,,,NM,3/7/1995 4:00 +Bellevue,,,WA,3/7/1995 5:30 +Geneva,,LIGHT,NY,3/7/1995 15:00 +Portland,RED,,OR,3/7/1995 19:20 +Portland,RED,,OR,3/7/1995 21:25 +Ammon,,,ID,3/8/1995 5:45 +Byron Center,YELLOW,,MI,3/8/1995 22:00 +Lake Jackson,,,TX,3/8/1995 23:00 +Plant City,,,FL,3/9/1995 21:00 +Portland,,,OR,3/10/1995 20:45 +"Coconino Nat'l Forest north of Wupatki NM, AZ",BLUE,FORMATION,AZ,3/10/1995 22:00 +Chesapeake,RED ORANGE,,VA,3/11/1995 3:00 +Las Vegas,,,NV,3/11/1995 19:30 +Fort Wayne,,,IN,3/11/1995 20:00 +Show Low,,,AZ,3/11/1995 21:45 +Leavenworth,,,KS,3/12/1995 20:30 +Norfolk,,,VA,3/12/1995 21:00 +Borrego Springs,,TRIANGLE,CA,3/12/1995 22:00 +Avondale,,,AZ,3/12/1995 23:30 +Columbia,,,SC,3/12/1995 23:41 +Cumberland,,,MD,3/12/1995 23:54 +Cumberland,,,MD,3/12/1995 23:54 +Cumberland,,,MD,3/12/1995 23:54 +Seattle,YELLOW,,WA,3/13/1995 18:30 +Seattle,BLUE,,WA,3/14/1995 21:07 +Seattle,,,WA,3/14/1995 21:08 +Seattle,BLUE,,WA,3/14/1995 21:08 +Seattle,BLUE,,WA,3/14/1995 21:10 +Wenatchee,,,WA,3/14/1995 21:10 +N. Judson,,,IN,3/14/1995 21:45 +North Judson,,,IN,3/14/1995 21:45 +Fontana,,,CA,3/14/1995 22:05 +Whatcom County,,DISK,WA,3/15/1995 3:00 +Haymarket,,SPHERE,VA,3/15/1995 5:25 +San Antonio,,FIREBALL,TX,3/15/1995 6:30 +Orlando,,,FL,3/15/1995 14:00 +Shepard AFB,,OTHER,TX,3/15/1995 17:45 +Danbury,,CHEVRON,CT,3/15/1995 20:00 +Fontana,BLUE,,CA,3/15/1995 20:30 +Fontana,,LIGHT,CA,3/15/1995 20:30 +Clinton,,VARIOUS,IL,3/15/1995 21:00 +Cannis City,,,FL,3/15/1995 21:30 +Howell,,TRIANGLE,MI,3/15/1995 22:00 +Grain Valley,,,MO,3/15/1995 22:30 +Jefferson City,,,MO,3/15/1995 22:30 +Jefferson City,,,MO,3/15/1995 22:30 +St. Louis,,,MO,3/15/1995 22:30 +Litchfield,BLUE,,IL,3/15/1995 22:32 +Collinsville,BLUE,,IL,3/15/1995 22:40 +Gainesville,,,FL,3/15/1995 23:00 +Vienna,,,VA,3/15/1995 23:17 +Fairmont,YELLOW GREEN,,WV,3/15/1995 23:25 +S. Greensburg,,,PA,3/15/1995 23:28 +Jackson,RED BLUE,,TN,3/15/1995 23:32 +Molalla,,,OR,3/16/1995 0:00 +Toledo,,,OH,3/16/1995 23:45 +Lockwood,,,NV,3/17/1995 16:00 +Flint,,,MI,3/17/1995 19:40 +Evington,,,VA,3/17/1995 22:00 +Boulder Creek,,,CA,3/17/1995 23:30 +Bakersfield,,,CA,3/18/1995 21:49 +Bakersfield,,,CA,3/18/1995 21:49 +Mobile,,,AL,3/19/1995 19:30 +Jacksonville,,,FL,3/19/1995 20:00 +Patricia,,,TX,3/19/1995 20:31 +Fayetteville,,CYLINDER,NC,3/20/1995 0:00 +Ft Benning,,CIRCLE,GA,3/20/1995 23:00 +Beaver,,TEARDROP,OK,3/21/1995 4:30 +Bedford,,,VA,3/22/1995 5:10 +Redmond,,,WA,3/22/1995 17:30 +Everett,,,WA,3/22/1995 21:30 +Hwy. 18,,,WA,3/23/1995 1:30 +Snoqualmie,,DISK,WA,3/23/1995 1:30 +Spokane,,,WA,3/23/1995 21:23 +Lake Havasu,,,AZ,3/23/1995 22:00 +Flint,,,MI,3/23/1995 22:25 +North Dade,,,FL,3/24/1995 1:27 +Las Vegas,,,NV,3/24/1995 5:00 +Las Vegas,,,NV,3/24/1995 5:00 +Grover Beach,,,CA,3/25/1995 0:00 +Monterey,,,CA,3/25/1995 0:00 +Seattle,,,WA,3/25/1995 17:00 +Fort Wayne,,,IN,3/25/1995 18:20 +Burien,,,WA,3/25/1995 19:00 +Kingsford Heights,,TRIANGLE,IN,3/25/1995 22:00 +Redmond,,,WA,3/25/1995 22:30 +Auburn,,,WA,3/25/1995 23:10 +Salinas,,,CA,3/25/1995 23:10 +Scottsdale,,,AZ,3/26/1995 17:37 +Loveland,,LIGHT,CO,3/27/1995 21:15 +Harmony,,,ME,3/27/1995 21:50 +Florence,,,OR,3/27/1995 22:00 +San Francisco,,,CA,3/27/1995 23:00 +Cordova,,,AK,3/28/1995 0:36 +McAllen,,DISK,TX,3/28/1995 22:00 +Ventura,,,CA,3/29/1995 1:31 +Shippensburg,BLUE,OTHER,PA,3/29/1995 6:30 +Rainsville,ORANGE,,AL,3/29/1995 14:36 +Elma,,,WA,3/29/1995 20:15 +Jacksonville,,,FL,3/29/1995 20:35 +Mt. Ranch,,,CA,3/29/1995 23:54 +Fort Wayne,,,IN,3/30/1995 0:00 +Honolulu,YELLOW,,HI,3/30/1995 0:00 +Eugene,,,OR,3/30/1995 4:45 +Hollywood,,CIGAR,CA,3/30/1995 5:30 +Warren,,,MI,3/30/1995 19:30 +Murphy,,,NC,3/30/1995 23:32 +Placerville,,,CA,3/31/1995 21:45 +Costa Mesa,RED,,CA,4/1/1995 5:30 +Albany,,OTHER,OR,4/1/1995 18:00 +Holyoke,,LIGHT,MA,4/1/1995 18:00 +Mountlake Terrace,,,WA,4/1/1995 21:00 +Knoxville,,,TN,4/2/1995 10:20 +Central U.S.,,DIAMOND,ND,4/2/1995 13:00 +Smith River,,,CA,4/2/1995 23:25 +Bakersfield,,,CA,4/3/1995 2:00 +Haslett,,,MI,4/3/1995 10:30 +Williamsburg,,SPHERE,VA,4/4/1995 4:00 +Folsom,,,NJ,4/4/1995 23:50 +Bakersfield,,,CA,4/5/1995 1:00 +Mesa,,DISK,AZ,4/5/1995 12:01 +Boyertown,,,PA,4/5/1995 21:45 +Burlington,,,NJ,4/6/1995 0:58 +Hendersonville,,TRIANGLE,TN,4/7/1995 17:00 +Boulder,,,CO,4/7/1995 21:00 +Pridice Valley,,TRIANGLE,AZ,4/9/1995 17:00 +Alvin,,OTHER,TX,4/10/1995 0:30 +Apple Valley,BLUE,,CA,4/10/1995 1:30 +Goleta,,,CA,4/10/1995 2:25 +Tajunga,,,CA,4/10/1995 2:25 +Yarldey,GREEN,OTHER,PA,4/10/1995 12:00 +Newport,,OTHER,MI,4/10/1995 21:00 +Norristown,,CIRCLE,PA,4/12/1995 21:00 +Richmond,,,VA,4/12/1995 21:45 +Friday Harbor,,DIAMOND,WA,4/12/1995 23:00 +Pottstown,,,PA,4/13/1995 12:00 +Brooklyn,,,AR,4/13/1995 23:07 +West Memphis,GREEN,,TN,4/13/1995 23:07 +Brooklyn,,,AR,4/13/1995 23:08 +Tacoma,,,WA,4/14/1995 21:00 +Boston,GREEN,,MA,4/14/1995 22:00 +Newell area,,,SD,4/15/1995 0:00 +Austin,,OTHER,TX,4/15/1995 12:00 +Earlville,,,PA,4/15/1995 19:30 +Asheville,,TRIANGLE,NC,4/15/1995 22:00 +Gilbert,,,AZ,4/15/1995 22:00 +Pinehurst,,TRIANGLE,NC,4/15/1995 22:00 +Urbana,,CIRCLE,OH,4/15/1995 22:00 +Kilgore,YELLOW,CIRCLE,TX,4/15/1995 23:30 +Woodinville,,,WA,4/16/1995 1:10 +Great Falls,,OVAL,MT,4/16/1995 10:30 +Medford,,,MA,4/16/1995 20:30 +Carrollton,,,GA,4/16/1995 21:25 +Villa Rica,,,GA,4/16/1995 21:45 +Tacoma,,,WA,4/16/1995 22:10 +Milton,,DISK,DE,4/17/1995 19:00 +Pacificia,,OVAL,CA,4/17/1995 23:00 +Leesport,,,PA,4/18/1995 20:30 +Gilbertsville,ORANGE,,PA,4/18/1995 22:34 +New Smyrna Beach,,,FL,4/19/1995 0:30 +Pembrook Pines,,,FL,4/19/1995 19:30 +Clovis,,,CA,4/19/1995 19:58 +Binghamton,,,NY,4/19/1995 21:44 +Richmond,,,VA,4/19/1995 21:45 +Augusta,,,ME,4/19/1995 22:19 +Lake Sullivan,,LIGHT,ID,4/19/1995 23:00 +Fargo,RED,,ND,4/20/1995 0:02 +Watauga,,,TX,4/20/1995 23:20 +Hansville,BLUE,,WA,4/21/1995 0:00 +Palatine,RED,FIREBALL,IL,4/21/1995 9:30 +Newport,,,OR,4/21/1995 23:00 +Oregon,,,IL,4/21/1995 23:49 +Danville,,,IL,4/22/1995 0:00 +Louisville,,,KY,4/22/1995 0:30 +Oregon City,,,OR,4/22/1995 1:05 +Milpitas,,,CA,4/22/1995 15:00 +Portland,,,OR,4/22/1995 17:15 +Bakersfield,,,CA,4/22/1995 21:44 +Seattle,,,WA,4/22/1995 22:37 +Oregon,,,IL,4/22/1995 23:49 +Wheeling,,LIGHT,WV,4/23/1995 1:30 +MM 99 mile Exit,,,WA,4/23/1995 3:45 +Bradenton,,,FL,4/23/1995 21:30 +Hickory Corners,,,MI,4/23/1995 21:30 +Beaver Creek,,,OR,4/24/1995 22:14 +Quartzsite,,TRIANGLE,AZ,4/25/1995 1:30 +Grape Creek,,,IL,4/25/1995 2:30 +Portland,,,OR,4/25/1995 12:30 +Brooklyn,,,OH,4/25/1995 15:15 +Flagstaff,RED,TRIANGLE,AZ,4/28/1995 2:45 +Grand Rapids,,TRIANGLE,MI,4/28/1995 9:30 +Spokane,,,WA,4/29/1995 0:00 +Mt. City,,,TN,4/30/1995 11:55 +San Diego,,,CA,4/30/1995 20:55 +Riverview,,,FL,4/30/1995 22:00 +Lansing,,CIRCLE,MI,4/30/1995 23:30 +White Sands,,CHEVRON,NM,5/1/1995 12:00 +Killawog,RED YELLOW,LIGHT,NY,5/1/1995 18:00 +Sun Prairie,,CROSS,WI,5/1/1995 21:00 +Brockton,,TRIANGLE,MA,5/1/1995 21:30 +Zanesville,,,OH,5/1/1995 22:00 +Memphis,,,TN,5/2/1995 12:00 +Reno,,,NV,5/3/1995 0:54 +Amsterdam,,,NY,5/3/1995 4:05 +Alden,,LIGHT,NY,5/3/1995 22:30 +Fremont,,CONE,OH,5/5/1995 15:15 +Conifer,,CIRCLE,CO,5/5/1995 22:00 +Huntington,,,NY,5/6/1995 14:00 +Watertown,,LIGHT,CT,5/6/1995 21:00 +Lebanon,,,OR,5/6/1995 23:30 +Phoenix,,FORMATION,AZ,5/7/1995 1:00 +Gresham,,,OR,5/7/1995 1:30 +Cannon,,,NH,5/7/1995 4:25 +Massillon,,,OH,5/7/1995 12:20 +Seattle,,,WA,5/7/1995 23:45 +Vista,,,CA,5/9/1995 21:10 +Columbia,,,MO,5/10/1995 3:00 +Houston,BLUE,LIGHT,TX,5/10/1995 19:00 +Whiteriver,,LIGHT,AZ,5/10/1995 19:00 +Palm Desert,,,CA,5/11/1995 0:15 +Edwards AFB,,,CA,5/12/1995 0:00 +Carmichael,,,CA,5/12/1995 0:15 +Madison,,,WI,5/12/1995 2:00 +Starkey,,,OR,5/12/1995 7:30 +Lackland AFB,,DISK,TX,5/12/1995 12:00 +Ozark,BLUE,CIGAR,MO,5/12/1995 14:00 +Santa Fe,,CHEVRON,TX,5/12/1995 20:00 +Duarte,,,CA,5/12/1995 22:50 +Scottsdale,,OTHER,AZ,5/13/1995 14:00 +Seattle,RED,TRIANGLE,WA,5/13/1995 19:30 +Tampa,,,FL,5/13/1995 20:25 +Neah Bay,,,WA,5/13/1995 21:30 +Framingham,,,MA,5/13/1995 21:40 +Dayton,,,OR,5/14/1995 0:54 +Lake Forest,,,IL,5/14/1995 3:00 +Silver Beach,,,NY,5/14/1995 20:37 +McKenzie,,,TN,5/15/1995 0:00 +Normal,,TRIANGLE,IL,5/15/1995 0:00 +Kalama,,OTHER,WA,5/15/1995 3:30 +Geneva,,SPHERE,OH,5/15/1995 4:00 +Sage,,FIREBALL,CA,5/15/1995 4:30 +Portland,,,OR,5/15/1995 10:30 +W. Chicago,,,IL,5/15/1995 12:30 +St. Bonifacious,,LIGHT,WI,5/15/1995 15:00 +N. Seattle,,,WA,5/15/1995 16:15 +Claverack,,TRIANGLE,NY,5/15/1995 18:00 +Killawog,,LIGHT,NY,5/15/1995 18:30 +Hillsborough,,,NJ,5/16/1995 4:00 +Lakewood,,FIREBALL,WA,5/16/1995 11:00 +Lake Oswego,,,OR,5/16/1995 22:45 +Freeport,RED,OTHER,TX,5/16/1995 23:00 +Rochester,,FLASH,NY,5/17/1995 21:05 +Middletown,,,CT,5/18/1995 18:30 +Las Vegas,,,NV,5/18/1995 19:30 +W. Salem,,,OR,5/19/1995 9:55 +Glendale,RED,TRIANGLE,CA,5/19/1995 22:00 +Mt. Jackson,,,VA,5/19/1995 22:15 +Federal Way,,,WA,5/19/1995 22:30 +Marietta,,DIAMOND,GA,5/19/1995 22:42 +San Diego,,LIGHT,CA,5/20/1995 11:30 +Kansas City,,TRIANGLE,MO,5/20/1995 13:30 +Mesquite,,SPHERE,TX,5/20/1995 22:00 +Charlotte,,LIGHT,NC,5/20/1995 23:00 +St. Louis,RED GREEN,CIGAR,MO,5/20/1995 23:00 +Phoenix,,,AZ,5/21/1995 19:30 +Woburn,,,MA,5/21/1995 21:45 +Fox Chapel,,,PA,5/21/1995 23:20 +Brawley,,,CA,5/23/1995 5:20 +Kent,,FORMATION,NE,5/23/1995 20:00 +Woodland,,,ME,5/23/1995 22:50 +San Luis Obispo,,CIRCLE,CA,5/24/1995 3:00 +East Aurora,,,IL,5/24/1995 21:00 +Jeannette,,,PA,5/24/1995 22:15 +Brentwood,,,TN,5/24/1995 22:35 +Pueblo,,,CO,5/25/1995 0:00 +Silverdale,,,WA,5/25/1995 0:00 +Shalimar,,TEARDROP,FL,5/25/1995 15:00 +Rochester Hills,,TRIANGLE,MI,5/26/1995 1:00 +Rochester Hills,,TRIANGLE,MI,5/26/1995 18:00 +Vinton,,,LA,5/26/1995 22:45 +Arlington,,,WA,5/27/1995 0:30 +Tacoma,,,WA,5/27/1995 0:54 +Hialeah,,,FL,5/27/1995 2:00 +Southside,,CIRCLE,AL,5/27/1995 17:30 +St. Louis,,,MO,5/28/1995 0:00 +Deming,,,NM,5/28/1995 16:00 +Bellevue,BLUE,,WA,5/28/1995 23:35 +Eagle Creek,,,OR,5/28/1995 23:35 +Shelton,,,WA,5/28/1995 23:35 +Fairfield,BLUE,,CA,5/29/1995 2:04 +Jamestown,BLUE,,CA,5/29/1995 2:30 +Auburn,,,WA,5/29/1995 4:00 +Byron,,,MN,5/30/1995 4:45 +Loveland,,OTHER,CO,5/31/1995 18:00 +Colorado Springs,RED,LIGHT,CO,6/1/1995 1:00 +Colorado Springs,RED,LIGHT,CO,6/1/1995 1:00 +North Manitou Island Lake,,,MI,6/1/1995 1:30 +Culpeper,,,VA,6/1/1995 2:00 +Mt. Springs,,CIGAR,TX,6/1/1995 2:00 +Wilton,,LIGHT,NY,6/1/1995 2:00 +Carson City,,,NV,6/1/1995 4:00 +Los Angeles,,CIRCLE,CA,6/1/1995 12:00 +Mesa,,OTHER,AZ,6/1/1995 12:00 +Ravenna,,TRIANGLE,OH,6/1/1995 12:00 +Craig,,VARIOUS,CO,6/1/1995 13:00 +Los Angeles,,FORMATION,CA,6/1/1995 13:00 +Durham,,CIRCLE,NC,6/1/1995 15:00 +Saint Petersburg,,SPHERE,FL,6/1/1995 16:20 +Mesa,,OVAL,AZ,6/1/1995 18:00 +Clarksville,,FORMATION,TN,6/1/1995 19:00 +Ferndale,BLUE,LIGHT,WA,6/1/1995 19:00 +Madras,,OTHER,OR,6/1/1995 20:00 +Methuen,YELLOW,OVAL,MA,6/1/1995 20:00 +Warren,BLUE,TRIANGLE,OH,6/1/1995 20:00 +Austin,GREEN,LIGHT,TX,6/1/1995 21:00 +Homestead,,TRIANGLE,FL,6/1/1995 21:00 +Kingsford,,DISK,WI,6/1/1995 21:00 +Mercer Island,,TRIANGLE,WA,6/1/1995 21:00 +New Hampshire,,LIGHT,NH,6/1/1995 21:00 +Pensacola,,FLASH,FL,6/1/1995 21:00 +Kingsville,,OTHER,OH,6/1/1995 22:00 +Roebling,,LIGHT,NJ,6/1/1995 22:00 +Benton City,,,WA,6/1/1995 22:30 +Supply,,,NC,6/1/1995 22:30 +Angels Camp,,LIGHT,CA,6/1/1995 23:00 +Murphuys,,,CA,6/1/1995 23:00 +Provincetown,,,MA,6/1/1995 23:00 +Mebane,,TRIANGLE,NC,6/1/1995 23:30 +Wailuku,,FIREBALL,HI,6/1/1995 23:45 +Hillsboro,,,OR,6/2/1995 20:12 +Gardendale,,,LA,6/3/1995 3:00 +Syracuse,,FORMATION,NY,6/3/1995 13:00 +Marysville,,,WA,6/3/1995 22:12 +Olympia,,,WA,6/3/1995 23:30 +Goldsboro,,,NC,6/3/1995 23:53 +Addison,RED,,TX,6/4/1995 0:00 +Aurora,,TRIANGLE,IL,6/5/1995 20:00 +Dallas,,LIGHT,TX,6/6/1995 1:00 +Kentwood,,CIRCLE,MI,6/6/1995 16:00 +Kentwood,,SPHERE,MI,6/6/1995 16:00 +Golden,,OTHER,CO,6/6/1995 18:00 +Albany,,OTHER,NY,6/6/1995 21:00 +Oroville,,,CA,6/6/1995 21:45 +Albany,,,CA,6/7/1995 21:00 +Fresno,,,CA,6/8/1995 23:45 +Fontana,ORANGE,,CA,6/9/1995 0:10 +Arlington,GREEN,,WA,6/9/1995 21:53 +El Paso,,,TX,6/10/1995 18:00 +Crescent City,RED BLUE,OVAL,CA,6/10/1995 23:00 +New York,BLUE,TRIANGLE,NY,6/10/1995 23:00 +Glade Spring,GREEN,,VA,6/10/1995 23:20 +Cleburne,,,TX,6/11/1995 0:00 +Seattle,,,WA,6/11/1995 0:00 +Sharon,,,MA,6/11/1995 0:00 +Tacoma,,,WA,6/11/1995 17:15 +Modesto,,,CA,6/11/1995 19:20 +Farmington,,,UT,6/11/1995 19:30 +Ogden,,,UT,6/11/1995 19:30 +Fairfield,,,CA,6/11/1995 22:00 +Downey,,,CA,6/11/1995 23:00 +Puyallup,,,WA,6/11/1995 23:50 +Wichita,,,KS,6/12/1995 0:00 +San Francisco,,,CA,6/12/1995 0:15 +Drain,,CIRCLE,OR,6/12/1995 23:00 +Fort Wayne,,,IN,6/12/1995 23:26 +Long Valley,,DISK,NJ,6/13/1995 11:00 +Sequim,,OVAL,WA,6/13/1995 14:00 +Omaha,,DISK,NE,6/13/1995 18:00 +Tulare,RED,,CA,6/13/1995 21:25 +Ann Arbor,,,MI,6/14/1995 1:35 +Miami,,,FL,6/14/1995 21:40 +Lakewood,RED,DISK,CA,6/15/1995 0:00 +Bridgeport,ORANGE YELLOW,CIRCLE,CT,6/15/1995 2:00 +Cameron,,,LA,6/15/1995 2:00 +Leveland,,FIREBALL,TX,6/15/1995 2:00 +Washington,RED,,UT,6/15/1995 2:00 +Thomson,,OVAL,GA,6/15/1995 11:30 +Grand Rapids,,DISK,MI,6/15/1995 15:00 +Fort Bliss,BLUE,CIRCLE,TX,6/15/1995 18:00 +Orange,,OVAL,CA,6/15/1995 18:00 +Calipatria,,CIRCLE,CA,6/15/1995 19:00 +Albuquerque,BLUE,DISK,NM,6/15/1995 19:30 +Pennsylvania,,SPHERE,PA,6/15/1995 19:55 +Hesperia,GREEN,LIGHT,CA,6/15/1995 20:00 +Kapaau,BLUE,TEARDROP,HI,6/15/1995 20:00 +Long Beach,,CHEVRON,CA,6/15/1995 20:30 +Glendale,,FIREBALL,AZ,6/15/1995 21:00 +Malvern,,TRIANGLE,PA,6/15/1995 21:00 +Miami,,LIGHT,FL,6/15/1995 21:00 +St. Louis,,TRIANGLE,MO,6/15/1995 22:00 +Roy,,SPHERE,WA,6/15/1995 22:20 +Pawleys Island,,,SC,6/15/1995 23:00 +Freeport,,,FL,6/16/1995 0:00 +Toledo,,,OH,6/17/1995 0:00 +Croton Falls,,OVAL,NY,6/18/1995 0:35 +Fall River,,,MA,6/18/1995 21:45 +Las Vegas,GREEN,SPHERE,NV,6/19/1995 2:30 +Adair County,,,IA,6/19/1995 22:00 +Belle Plaine,,TRIANGLE,KS,6/19/1995 22:00 +Cottonwood,YELLOW,,CA,6/19/1995 23:45 +Howell,,OVAL,NJ,6/20/1995 2:00 +Multi,,VARIOUS,OH,6/20/1995 2:00 +Commerce,,CIRCLE,TX,6/20/1995 9:30 +Mascoutah,,SPHERE,IL,6/20/1995 14:00 +Hewitt,,CIGAR,TX,6/20/1995 18:00 +Winchester,,CIRCLE,WI,6/20/1995 23:00 +Cameron,,,MO,6/21/1995 0:56 +Oregon City,,,OR,6/21/1995 21:30 +Chelsea,,LIGHT,MA,6/22/1995 0:00 +Salem,,RECTANGLE,OH,6/22/1995 2:00 +Raton,,,NM,6/22/1995 13:30 +Amarillo,,TRIANGLE,TX,6/22/1995 15:00 +Monroe,,,WA,6/23/1995 0:01 +Austin,,DISK,NV,6/23/1995 3:00 +Austin,ORANGE,DISK,NV,6/23/1995 3:00 +Buena Park,,LIGHT,CA,6/23/1995 22:30 +Kirkland,,,WA,6/24/1995 0:10 +Los Angeles County,,TRIANGLE,CA,6/24/1995 0:30 +Snoqualmie,BLUE,,WA,6/24/1995 14:30 +Florence,,,AL,6/24/1995 21:52 +Farmingdale,,,NY,6/24/1995 22:30 +Sibley County,,,MN,6/24/1995 22:45 +Portland,,,OR,6/25/1995 0:00 +Mojave Desert,,DISK,CA,6/25/1995 9:00 +Tumwater,,,WA,6/25/1995 16:22 +Batesburg,,,SC,6/25/1995 19:00 +Sioux Falls,RED,,SD,6/25/1995 22:45 +Cherry Hill,,,NJ,6/27/1995 12:00 +Endicott,,,NY,6/27/1995 21:30 +Portland,,VARIOUS,ME,6/28/1995 21:00 +New Providence,,,NJ,6/28/1995 21:45 +Irving,,,TX,6/28/1995 22:20 +Tacoma,,,WA,6/28/1995 22:25 +Lisbon,,,ME,6/28/1995 23:00 +Klamath Falls,,,OR,6/29/1995 0:00 +Mankato,,OTHER,MN,6/29/1995 22:45 +Port Angeles,,,WA,6/30/1995 0:00 +Canton,,,OH,6/30/1995 2:00 +Northport,,LIGHT,NY,6/30/1995 10:00 +Gold Point,,CIGAR,NV,6/30/1995 12:00 +Grass Valley,,CIRCLE,CA,6/30/1995 13:00 +Medford,,DISK,OR,6/30/1995 15:00 +Corpus Christi,,CIRCLE,TX,6/30/1995 18:00 +Olathe,,,KS,6/30/1995 19:20 +Portland,,FORMATION,ME,6/30/1995 22:00 +Rockwood,,VARIOUS,MI,6/30/1995 22:00 +Longbranch,,LIGHT,WA,7/1/1995 0:00 +New York City,,CIRCLE,NY,7/1/1995 0:00 +Farmington,GREEN,CONE,NM,7/1/1995 1:00 +Mesa,,,AZ,7/1/1995 2:00 +Myrtle Beach,,LIGHT,SC,7/1/1995 3:15 +Bellevue,,,NE,7/1/1995 4:30 +Greenville,,OVAL,SC,7/1/1995 5:45 +Kittanning,,CIRCLE,PA,7/1/1995 9:00 +Wedowee,,SPHERE,AL,7/1/1995 19:00 +Seymour,,OTHER,IN,7/1/1995 21:00 +Broughtontown,,SPHERE,KY,7/1/1995 22:00 +Neenah,,TRIANGLE,WI,7/1/1995 22:00 +Ocean Shores,,,WA,7/1/1995 22:30 +Wenksville,,LIGHT,PA,7/1/1995 23:00 +Pendleton,,OTHER,NY,7/2/1995 13:30 +Winnemucca,RED,,NV,7/2/1995 23:15 +Glendale,RED,,AZ,7/3/1995 0:30 +Inspiration Pt.,,,CA,7/3/1995 10:30 +Bremerton,RED,LIGHT,WA,7/4/1995 0:00 +San Antonio,YELLOW,LIGHT,TX,7/4/1995 0:00 +Lakeport,,LIGHT,CA,7/4/1995 18:00 +Woodlake,RED GREEN,CYLINDER,CA,7/4/1995 20:50 +Orlando,YELLOW,,FL,7/4/1995 21:30 +Tacoma,RED,CIRCLE,WA,7/4/1995 22:00 +New Port Richey,,TRIANGLE,FL,7/4/1995 23:00 +West Milford,,TRIANGLE,NJ,7/7/1995 1:30 +Murfreesboro,,OVAL,TN,7/7/1995 21:30 +Aurora,,,IL,7/7/1995 23:59 +Ravenna,,,OH,7/8/1995 23:00 +Mojave Desert,,OTHER,CA,7/9/1995 12:00 +Versailles,,,MO,7/9/1995 23:00 +Versailles,,,MO,7/9/1995 23:00 +Bonanza,YELLOW,,OR,7/10/1995 21:50 +Fircrest,,,WA,7/11/1995 22:30 +Salt Lake City,,DISK,UT,7/12/1995 4:00 +Necedah,,LIGHT,WI,7/12/1995 15:00 +Olivet,,DISK,MI,7/14/1995 14:00 +Lake Havasu City,,LIGHT,AZ,7/14/1995 19:00 +Seattle,,,WA,7/14/1995 22:10 +Abilene,,SPHERE,TX,7/15/1995 0:00 +Hesperia,ORANGE,FIREBALL,CA,7/15/1995 0:00 +Massachussetts Highway rest stop,,CIRCLE,MA,7/15/1995 0:00 +Steelville,,CONE,MO,7/15/1995 1:00 +Buena Park,,LIGHT,CA,7/15/1995 1:30 +Arkadelphia,,SPHERE,TX,7/15/1995 2:00 +Acworth,,CIRCLE,GA,7/15/1995 5:30 +Auburn,,,WA,7/15/1995 7:10 +Illinois,,TRIANGLE,WI,7/15/1995 12:00 +Seattle,,,WA,7/15/1995 15:20 +Seattle,GREEN,,WA,7/15/1995 15:20 +Spokane,,DISK,WA,7/15/1995 19:00 +Penrose,,LIGHT,CO,7/15/1995 19:30 +Salem,YELLOW,EGG,NH,7/15/1995 20:00 +Urbana,,CIRCLE,OH,7/15/1995 20:00 +Brooklyn,,CIGAR,OH,7/15/1995 21:00 +Kensington,RED,LIGHT,CT,7/15/1995 21:00 +Methuen,YELLOW,OVAL,MA,7/15/1995 21:00 +East Tacoma,,DISK,WA,7/15/1995 21:30 +Santa Ana,,OTHER,CA,7/15/1995 22:00 +South Prarie,,FIREBALL,WA,7/15/1995 22:30 +Norman,,SPHERE,OK,7/15/1995 23:00 +Carthage,,LIGHT,IL,7/15/1995 23:30 +Edmonds,,LIGHT,WA,7/15/1995 23:49 +Santa Ana,,,CA,7/16/1995 1:40 +Macon,,,GA,7/16/1995 12:15 +Cherry Hill,,,NJ,7/16/1995 15:00 +Ringgold,,TRIANGLE,GA,7/16/1995 20:00 +Boone,RED,OVAL,NC,7/16/1995 21:30 +Holland County,,VARIOUS,AR,7/17/1995 1:30 +Fort Worth,,SPHERE,TX,7/18/1995 23:00 +Birmingham,,,AL,7/19/1995 0:30 +Sacramento,BLUE,,CA,7/19/1995 1:30 +Clinton Township,,OVAL,MI,7/19/1995 21:00 +Pacific,,,WA,7/19/1995 22:40 +Henry,,LIGHT,TN,7/20/1995 2:00 +Port Orchard,,,WA,7/20/1995 2:15 +Atlanta,,CIRCLE,GA,7/20/1995 12:30 +Mandan,,OTHER,ND,7/20/1995 16:00 +Vista,,,CA,7/20/1995 21:32 +Arlington,,FORMATION,MA,7/20/1995 22:00 +Renton,,,WA,7/20/1995 22:25 +Bellevue,,,WA,7/20/1995 23:00 +Philadelphia,RED,LIGHT,PA,7/21/1995 23:15 +Santa Clara,,,CA,7/22/1995 10:30 +Redding,,,CA,7/22/1995 20:00 +Springfield,,,IL,7/22/1995 20:00 +Snake River,,,ID,7/23/1995 23:00 +Olympia,,,WA,7/24/1995 3:00 +Tooele,,,UT,7/24/1995 21:00 +Arlington,,,IL,7/24/1995 22:30 +Ocate,,LIGHT,NM,7/25/1995 9:35 +West Seattle,,,WA,7/25/1995 15:00 +Chula Vista,,CIRCLE,CA,7/25/1995 19:00 +Marion,,,SD,7/25/1995 20:30 +Mason City,,,IA,7/26/1995 22:30 +Belleville,,,IL,7/27/1995 1:00 +Buffalo,,DISK,NY,7/27/1995 3:00 +Beaverton,,,OR,7/27/1995 13:52 +Riverside,,,CA,7/27/1995 21:30 +Rochester,RED GREEN,,NY,7/27/1995 23:20 +Bakersfield,,,CA,7/28/1995 0:01 +Belmont,,,CA,7/28/1995 0:10 +Folsom,,,CA,7/28/1995 0:15 +Seattle,,,WA,7/28/1995 3:45 +Racine,,,WI,7/28/1995 14:00 +Wauwatosa,BLUE,SPHERE,WI,7/28/1995 15:15 +Clarksville,RED,,VA,7/28/1995 23:10 +Parshallville,,,MI,7/29/1995 2:00 +Puyallup,,,WA,7/29/1995 13:52 +Culver City,,,CA,7/29/1995 22:30 +Portland,,,OR,7/29/1995 22:30 +San Fernando,,,CA,7/30/1995 0:10 +Bolivia,,,NC,7/30/1995 1:06 +Baltimore,,,MD,7/30/1995 22:00 +Chippewa Falls,,CIRCLE,WI,7/30/1995 22:00 +Newtown,,,CT,7/30/1995 22:00 +Highpoint,,,NC,7/30/1995 22:05 +San Fernando,BLUE,,CA,7/30/1995 22:45 +Trenton,,,NJ,7/31/1995 0:00 +Sarasota,,,FL,7/31/1995 21:30 +Morris Plains,,,NJ,7/31/1995 23:45 +London,,TEARDROP,OH,8/1/1995 0:00 +Van Nuys,,VARIOUS,CA,8/1/1995 1:45 +South East Merced,,DIAMOND,CA,8/1/1995 14:00 +Las Vegas,,FLASH,NV,8/1/1995 18:00 +Jack Fork Mountains,,LIGHT,OK,8/1/1995 21:45 +Pflugerville,,SPHERE,TX,8/1/1995 22:00 +Tacoma,,,WA,8/1/1995 22:10 +Seattle,,,WA,8/1/1995 22:45 +South Beach,,TRIANGLE,FL,8/1/1995 23:00 +Stanwood,,,WA,8/2/1995 13:30 +Deming,,,NM,8/2/1995 19:34 +Lynnwood,BLUE,,WA,8/2/1995 22:35 +Aurora,,,CO,8/3/1995 23:00 +Hazel Dell,,,WA,8/4/1995 1:00 +Bellevue,,,WA,8/4/1995 1:15 +Lynnwood,,,WA,8/4/1995 2:05 +Vancouver,,,WA,8/4/1995 2:40 +Shelton,,,WA,8/4/1995 20:00 +Nashua,,RECTANGLE,NH,8/4/1995 21:30 +Sacramento,,,CA,8/4/1995 21:35 +Crescent Lake,YELLOW,,WA,8/4/1995 22:30 +Santa Rosa,,,CA,8/4/1995 23:00 +Bothell,,,WA,8/4/1995 23:15 +Richmond,,OTHER,KY,8/5/1995 1:05 +Santee,,LIGHT,CA,8/5/1995 18:37 +Woodland,,,WA,8/5/1995 21:30 +Phillips,RED,,WI,8/5/1995 22:00 +Woodland,,,WA,8/5/1995 23:15 +Redwood,,,CA,8/6/1995 0:00 +Lacey,,,WA,8/6/1995 4:00 +Bakersfield,RED GREEN,,CA,8/6/1995 18:45 +Bakersfield,YELLOW,,CA,8/6/1995 20:50 +Reno,ORANGE,FORMATION,NV,8/6/1995 21:00 +Moosehead Lake,,,ME,8/6/1995 21:57 +Kalamazoo,RED BLUE,,MI,8/6/1995 22:30 +Bakersfield,,,CA,8/6/1995 23:45 +Bakersfield,RED GREEN,,CA,8/7/1995 0:30 +Bakersfield,,,CA,8/7/1995 12:00 +Memphis,,DISK,TN,8/7/1995 17:00 +Berthid,,,CO,8/7/1995 23:00 +Portland,,,OR,8/8/1995 0:40 +Clearwater,,,FL,8/8/1995 4:00 +Oregon City,,,OR,8/8/1995 21:30 +Clinton,RED YELLOW BLUE,,MO,8/8/1995 22:40 +Alum Creek,,,WV,8/8/1995 23:00 +Tucson,,,AZ,8/8/1995 23:00 +I-64,,TRIANGLE,IN,8/9/1995 2:10 +Fresno,RED,,CA,8/9/1995 21:25 +Panguitch,,LIGHT,UT,8/10/1995 21:00 +Oakland,,,CA,8/10/1995 21:45 +Beaverton,,,OR,8/11/1995 1:32 +Puyallup,,,WA,8/11/1995 4:00 +Sacramento,,,CA,8/11/1995 8:40 +Fort Myers Beach,,,FL,8/12/1995 1:00 +South of Sarasota,,VARIOUS,FL,8/12/1995 3:30 +Willamsburg,,DISK,VA,8/12/1995 15:00 +Interstate 10,,CIRCLE,FL,8/12/1995 17:00 +Arlington,,TRIANGLE,WA,8/12/1995 20:29 +Enola,,FIREBALL,PA,8/12/1995 21:00 +Laughlin,RED,LIGHT,NV,8/12/1995 21:00 +Bellevue,GREEN,,WA,8/12/1995 21:25 +Naples,,,FL,8/12/1995 21:34 +Seattle,GREEN,,WA,8/12/1995 21:43 +Lancaster,,,WA,8/12/1995 23:56 +Putman,,,CT,8/13/1995 5:00 +Newaygo,,CHEVRON,MI,8/13/1995 11:00 +Redmond,,,WA,8/13/1995 16:50 +Las Vegas,,TRIANGLE,NV,8/13/1995 18:30 +Martinez,,,CA,8/13/1995 21:05 +Ft. Dick,RED,,CA,8/13/1995 22:00 +Gig Harbor,,,WA,8/13/1995 22:00 +Coon Valley,,,WI,8/13/1995 23:10 +Federal Way,GREEN,,WA,8/14/1995 5:30 +Snoqualmie Pass,,,WA,8/14/1995 10:30 +Silverton,,TRIANGLE,OR,8/14/1995 20:30 +Martinez,,,CA,8/14/1995 20:50 +Tacoma,,,WA,8/14/1995 21:40 +Redmond,,LIGHT,WA,8/14/1995 23:00 +Cuena Park,,LIGHT,CA,8/15/1995 0:00 +Appalachian,,LIGHT,NY,8/15/1995 1:00 +Tacoma,,,WA,8/15/1995 4:30 +Arcadia Shores,,,WA,8/15/1995 5:15 +Vashon Island,BLUE,,WA,8/15/1995 5:28 +Fife,,,WA,8/15/1995 5:29 +Yankton,,OVAL,SD,8/15/1995 6:00 +Hoh River,BLUE,,WA,8/15/1995 11:00 +Chatsworth,,TEARDROP,GA,8/15/1995 17:00 +Hampton,,CIGAR,TN,8/15/1995 17:30 +Connecticut,,TRIANGLE,CT,8/15/1995 20:00 +Flagstaff,,OVAL,AZ,8/15/1995 20:00 +Hampton,ORANGE,OTHER,VA,8/15/1995 21:00 +Sandpoint,,DISK,ID,8/15/1995 21:00 +Grand Haven,,,MI,8/15/1995 21:05 +Brunswick,ORANGE,OTHER,ME,8/15/1995 21:30 +Crescent City,,,CA,8/15/1995 21:30 +Davis,,CONE,CA,8/15/1995 22:00 +Omaha,,DISK,NE,8/16/1995 20:00 +Aurora,,TRIANGLE,IL,8/16/1995 21:30 +Sumner,,,WA,8/16/1995 23:00 +Williston,,,VT,8/16/1995 23:00 +Redmond,,,WA,8/16/1995 23:30 +South Park,,,WA,8/17/1995 19:45 +McKenzie,,,ND,8/17/1995 20:45 +Granite,,,WA,8/17/1995 23:00 +Kearney,,,MO,8/18/1995 1:00 +Salt Lake City,,,UT,8/18/1995 15:00 +Dearborn,BLUE,TRIANGLE,MI,8/18/1995 22:45 +Forest Lake,,,MN,8/19/1995 1:15 +Hayworth,,,IL,8/19/1995 21:00 +Brunswick,,DISK,OH,8/20/1995 2:00 +Bowman,,TRIANGLE,SC,8/20/1995 4:00 +Beaverton,,,OR,8/20/1995 10:55 +Cantwell,,CIRCLE,AK,8/20/1995 11:30 +Colonial Beach,,,VA,8/20/1995 13:45 +Culver City,,,CA,8/20/1995 21:35 +Holly,YELLOW,,WA,8/20/1995 23:00 +Shapleigh,,,ME,8/20/1995 23:00 +Dowling,RED GREEN BLUE,,MI,8/21/1995 0:30 +La Crosse,,,WI,8/21/1995 2:00 +Tacoma,,,WA,8/21/1995 20:35 +Laporte,,,WA,8/21/1995 21:00 +Seattle,,,WA,8/21/1995 21:30 +Olathe,RED,,KS,8/21/1995 21:55 +Greensburg,GREEN,RECTANGLE,KY,8/22/1995 1:00 +Phoenix,,,AZ,8/22/1995 21:30 +Prescott,,,AZ,8/22/1995 21:45 +Bothell,,,WA,8/22/1995 22:00 +Fontana,ORANGE,,CA,8/22/1995 22:15 +Fontana,,,CA,8/22/1995 22:17 +Tempe,,,AZ,8/22/1995 23:25 +Puyallup,,,WA,8/23/1995 16:35 +Anaheim,,,CA,8/23/1995 20:35 +Upland,,,CA,8/23/1995 21:00 +Louisville,,,KY,8/23/1995 23:50 +Battle Creek,,,MI,8/24/1995 21:00 +Detroit,,OTHER,MI,8/25/1995 0:00 +Cheektowaga,,,NY,8/25/1995 0:30 +Adamsville,,,PA,8/25/1995 0:40 +Cleveland,,,OH,8/25/1995 0:40 +Edinboro,ORANGE,,PA,8/25/1995 0:40 +Greensburg,,,PA,8/25/1995 0:40 +Monticello,,,NY,8/25/1995 0:40 +Monticello,,CIRCLE,NY,8/25/1995 0:40 +Pittsburgh,,,PA,8/25/1995 0:40 +Niles,,DISK,OH,8/25/1995 0:42 +Nelson Ledges,,SPHERE,OH,8/25/1995 0:44 +Morris,,OTHER,AL,8/25/1995 1:00 +Breezewood,,,PA,8/25/1995 1:30 +Oxford,,LIGHT,MA,8/25/1995 3:00 +Olean,,TRIANGLE,NY,8/25/1995 9:15 +Kansas City,,,KS,8/25/1995 15:00 +Helena,,,MT,8/25/1995 20:00 +Bothell,RED BLUE,,WA,8/25/1995 20:30 +Sarasota,,,FL,8/25/1995 22:00 +Crescent City,,,CA,8/25/1995 23:00 +Interstate-5,,CIGAR,CA,8/26/1995 2:38 +Salida,,,CO,8/26/1995 10:00 +Provo,,,UT,8/26/1995 15:42 +Inyo Co.,,,CA,8/26/1995 20:00 +Auburn,,,WA,8/26/1995 21:15 +Williston,,,ND,8/26/1995 23:00 +Dade County,,,FL,8/26/1995 23:30 +Phoenix,,,AZ,8/26/1995 23:45 +Los Angeles,,,CA,8/27/1995 4:00 +Medford,,,OR,8/27/1995 13:10 +Lost Lake,,,OR,8/27/1995 21:00 +Oregon City,,,OR,8/27/1995 21:30 +Mass City,,,MI,8/28/1995 1:50 +Castle Rock,,,CO,8/28/1995 2:30 +Burbank,,,CA,8/28/1995 10:45 +Elizabethtown,RED,TRIANGLE,KY,8/29/1995 2:00 +Boise,,,ID,8/29/1995 5:50 +Inglewood,GREEN BLUE,,CA,8/29/1995 21:45 +La Habra,,,CA,8/29/1995 21:45 +Fresno,RED,,CA,8/30/1995 5:30 +Travis AFB,,,CA,8/30/1995 5:35 +Bakersfield,RED,,CA,8/30/1995 5:40 +Rock Valley,,TRIANGLE,IA,8/30/1995 23:10 +Reno,,,NV,8/31/1995 5:15 +Randolph,,,NJ,8/31/1995 20:30 +Mukilteo,YELLOW,,WA,8/31/1995 21:50 +Ocean Shores,,TRIANGLE,WA,9/1/1995 2:00 +Pahrump,,VARIOUS,NV,9/1/1995 9:00 +Pahrump,,LIGHT,NV,9/1/1995 9:30 +Savannah,,DIAMOND,GA,9/1/1995 10:00 +Eagle Butte,BLUE,LIGHT,SD,9/1/1995 10:30 +New York City,,,NY,9/2/1995 23:00 +Virginia Beach,,,VA,9/3/1995 22:30 +Playa del Rey,,LIGHT,CA,9/4/1995 5:45 +Colorado Springs,,,CO,9/4/1995 22:30 +Mercer Island,,,WA,9/5/1995 0:00 +Coweta,,DISK,OK,9/5/1995 15:00 +Albuquerque,,TRIANGLE,NM,9/5/1995 18:00 +Boise,,,ID,9/5/1995 23:00 +Grand Canyon,,LIGHT,AZ,9/6/1995 21:30 +Ashland,,CYLINDER,NH,9/6/1995 23:02 +Medford,,CIRCLE,OR,9/7/1995 3:30 +Portland,,,OR,9/8/1995 6:35 +St. Charles,,CHEVRON,IL,9/9/1995 0:30 +Lake Oswego,RED,,OR,9/9/1995 19:05 +Silverdale,,,WA,9/9/1995 22:50 +Nixon,,DISK,TX,9/10/1995 1:00 +Marion,,TRIANGLE,VA,9/10/1995 9:30 +Las Vegas,,,NV,9/10/1995 12:35 +Effingham,,CIGAR,IL,9/10/1995 20:00 +Auburn,,,WA,9/10/1995 22:00 +Salt Lake City,,,UT,9/11/1995 16:25 +Pierce City,,CIGAR,MO,9/11/1995 16:30 +Pierce City,,CIGAR,MO,9/11/1995 16:30 +Las Vegas,,,NV,9/11/1995 22:15 +Melbourne,,TRIANGLE,FL,9/11/1995 23:00 +Whitefish,,,MT,9/11/1995 23:23 +New London,,,CT,9/11/1995 23:30 +Leadville,,,CO,9/12/1995 8:58 +North Haven,,,CT,9/12/1995 10:21 +W. New Brunswick,,,NJ,9/12/1995 21:15 +Orangeburg,,,NY,9/12/1995 23:50 +Corpus Christi,,,TX,9/13/1995 0:10 +Tallahassee,,,FL,9/13/1995 0:20 +Missoula,,,MT,9/13/1995 0:30 +Superior,,,AZ,9/13/1995 1:39 +Midvale,,,UT,9/13/1995 4:25 +Potter Valley,RED,,CA,9/13/1995 5:05 +Silverdale,,,WA,9/13/1995 22:33 +Mason,,,MI,9/14/1995 3:55 +Potter Valley,RED,,CA,9/14/1995 5:05 +Clairton,GREEN BLUE,,PA,9/14/1995 19:00 +Douglas,,,AZ,9/14/1995 21:40 +Buffalo,,OTHER,NY,9/14/1995 21:45 +Wasilla,,LIGHT,AK,9/15/1995 2:00 +Kissimmee,RED,DISK,FL,9/15/1995 7:00 +Poway,,OTHER,CA,9/15/1995 7:30 +Redmond,,,WA,9/15/1995 10:25 +Las Vegas,,OTHER,NV,9/15/1995 14:00 +Seattle,,,WA,9/15/1995 15:00 +Windham,,LIGHT,ME,9/15/1995 21:00 +La Habra,,DISK,CA,9/15/1995 22:00 +New York City,,,NY,9/15/1995 22:00 +New York City,,,NY,9/15/1995 22:05 +Wyoming,ORANGE,,PA,9/15/1995 22:30 +Corvallis,,,MT,9/15/1995 22:45 +Wilsonville,,LIGHT,OR,9/16/1995 1:00 +Seattle,,,WA,9/16/1995 21:15 +Merlin,,,OR,9/16/1995 23:15 +Colorado Springs,,,CO,9/17/1995 0:30 +Richardson,RED,,TX,9/17/1995 20:00 +Alturas,,,CA,9/18/1995 4:10 +Wilcox,,,AZ,9/18/1995 4:20 +N. Kingston,,,RI,9/18/1995 18:40 +Seattle,,,WA,9/18/1995 20:55 +Kansas City,,,KS,9/18/1995 21:45 +Stanford,,,CA,9/19/1995 5:57 +Johnson City,,,TN,9/19/1995 22:46 +Humbolt,,,CA,9/19/1995 23:43 +Reno,,,NV,9/20/1995 3:30 +Wilberforce,,OVAL,OH,9/20/1995 5:00 +Green Bay,,DIAMOND,WI,9/20/1995 18:30 +Cold Bay,,FIREBALL,AK,9/20/1995 19:30 +Puyallup,,,WA,9/20/1995 21:00 +Sunflower,BLUE,CYLINDER,MS,9/20/1995 22:00 +Black Shear,,,GA,9/20/1995 23:30 +Concordia,,,KS,9/21/1995 21:00 +Seattle,,,WA,9/21/1995 23:00 +Virginia Beach,,,VA,9/22/1995 0:00 +Safford,,DISK,AZ,9/22/1995 3:00 +Portland,,,OR,9/22/1995 5:40 +Meridian,,OTHER,MS,9/22/1995 16:00 +Safford,,,AZ,9/22/1995 21:00 +Redmond,,,WA,9/22/1995 21:30 +Lake Charles,,,LA,9/22/1995 23:30 +Washington County,,,OR,9/23/1995 0:00 +Lake Oswego,,,OR,9/23/1995 15:45 +Delta,,FLASH,UT,9/23/1995 21:45 +Thibodaux,,OTHER,LA,9/23/1995 23:00 +Maple Valley,,,WA,9/24/1995 0:00 +Kissimmee,,DISK,FL,9/24/1995 20:00 +Boise,,,ID,9/24/1995 20:25 +Scappoose,RED,,OR,9/24/1995 20:45 +Lynnwood,,,WA,9/24/1995 23:00 +Hernando,,TRIANGLE,FL,9/25/1995 0:00 +Salt Lake City,RED,,UT,9/25/1995 6:01 +Lake Oswego,,,OR,9/25/1995 15:45 +Flushing,RED,,MI,9/25/1995 20:00 +Flushing,,,MI,9/25/1995 21:18 +Seattle,ORANGE,TRIANGLE,WA,9/25/1995 22:30 +Polson,,,MT,9/25/1995 22:50 +Ronan,,,MT,9/25/1995 23:00 +Ringtown,GREEN,TEARDROP,PA,9/27/1995 22:00 +Copley,,,PA,9/28/1995 0:00 +Napa,,,CA,9/28/1995 21:00 +Scottsdale,,FIREBALL,AZ,9/28/1995 21:00 +Las Vegas,,,NV,9/28/1995 21:50 +San Francisco,,,CA,9/29/1995 12:50 +Sacramento,,,CA,9/29/1995 19:00 +Manchester,,,ME,9/29/1995 19:30 +Manchester,,,ME,9/29/1995 19:30 +N. Providence,,,RI,9/30/1995 13:30 +Monroeville,,TRIANGLE,IN,9/30/1995 19:00 +Baltimore,,DISK,MD,9/30/1995 20:00 +Anderson,,,IN,9/30/1995 23:00 +Troy,RED GREEN,,ME,9/30/1995 23:10 +Iowa City,,,IA,10/1/1995 12:00 +Lake Oswego,,,OR,10/1/1995 14:00 +Lake Oswego,,,OR,10/1/1995 16:30 +Ashland,,DISK,KY,10/1/1995 17:00 +Williamsburg,,RECTANGLE,PA,10/1/1995 18:30 +Vacaville,ORANGE,,CA,10/1/1995 21:00 +Tinley Park,ORANGE,OTHER,IL,10/1/1995 22:00 +Wantagh,,TRIANGLE,NY,10/1/1995 22:00 +Austin,,,TX,10/1/1995 22:30 +Piedmont,,,CA,10/1/1995 22:30 +Dover,,TRIANGLE,NH,10/1/1995 23:00 +Santa Rosa,,,CA,10/2/1995 0:20 +N. Providence,,,RI,10/2/1995 10:15 +Garberville,,,CA,10/2/1995 16:08 +Farmington,,,MN,10/2/1995 19:50 +Fort Worth,,DISK,TX,10/3/1995 20:20 +Volinda,,,CA,10/3/1995 23:15 +Seattle,,,WA,10/4/1995 22:30 +North Las Vegas,,,NV,10/5/1995 19:00 +Slidell,,FORMATION,LA,10/5/1995 21:30 +Puyallup,,,WA,10/6/1995 19:00 +West Valley City,,,UT,10/7/1995 19:15 +Muskegon,,,MI,10/7/1995 20:15 +Wolf Lake,,,MI,10/7/1995 20:17 +Jacksonville,,TRIANGLE,FL,10/7/1995 22:30 +Phoenix,,,AZ,10/8/1995 18:00 +Iowa City,,,IA,10/9/1995 0:00 +Milwaukee,BLUE,,WI,10/10/1995 19:45 +Oakland,,,CA,10/10/1995 22:40 +New York City,RED,,NY,10/11/1995 18:30 +Huntington,,,WV,10/11/1995 20:00 +Pueblo,,TRIANGLE,CO,10/12/1995 20:30 +Crescent City,,,CA,10/13/1995 5:50 +New York City,,LIGHT,NY,10/13/1995 6:30 +Tacoma,,,WA,10/13/1995 20:00 +Meridith,,LIGHT,MI,10/13/1995 22:30 +Des Moines,,,WA,10/14/1995 13:25 +Belmont,RED GREEN,TRIANGLE,MI,10/14/1995 20:05 +Dayton,,,WA,10/14/1995 22:30 +Madison,,,WI,10/14/1995 22:30 +Sandpoint,,,ID,10/14/1995 22:30 +Spokane,ORANGE GREEN,,WA,10/14/1995 22:30 +Troy,GREEN,,MT,10/14/1995 22:30 +Abilene,,,KS,10/14/1995 23:20 +Santee,GREEN,LIGHT,CA,10/15/1995 1:30 +Fostoria,,DIAMOND,OH,10/15/1995 1:45 +Hawesville,,CIGAR,KY,10/15/1995 15:00 +Lawton,,SPHERE,OK,10/15/1995 15:00 +Westminster,,,SC,10/15/1995 17:30 +Godfrey,,,IL,10/15/1995 18:15 +Emporia,,LIGHT,VA,10/15/1995 20:15 +Evansville,,,IN,10/15/1995 22:00 +Woodstock,,,CT,10/15/1995 22:15 +Chatsworth,,FIREBALL,CA,10/15/1995 23:30 +Scofield Barracks,,,HI,10/16/1995 5:57 +Brooksville,,FIREBALL,FL,10/17/1995 1:00 +Ponte Vedra Beach,,OTHER,FL,10/17/1995 3:15 +Miami,,,FL,10/17/1995 20:45 +Mergas,,,GA,10/17/1995 21:15 +Crescent City,,,CA,10/17/1995 21:38 +Tonopah,,CHEVRON,NV,10/18/1995 3:00 +Grass Lake,,,MI,10/18/1995 18:45 +Vancouver,,,WA,10/19/1995 0:00 +Colorado Springs,YELLOW,OTHER,CO,10/19/1995 1:00 +Rocky Point,,,WA,10/19/1995 5:30 +Vancouver,,,WA,10/19/1995 9:15 +Beaverton,,,OR,10/19/1995 19:15 +Clayton,,OVAL,GA,10/20/1995 22:00 +Medford,,FIREBALL,OR,10/20/1995 22:00 +Simi Valley,,LIGHT,CA,10/20/1995 22:00 +Franklinton,,CIRCLE,NC,10/21/1995 20:30 +Rochester,,DISK,NY,10/21/1995 22:00 +Utica,,DISK,NY,10/21/1995 22:20 +Bessemer,,,AL,10/22/1995 2:30 +Auburn,,,CA,10/22/1995 19:35 +Johnson City,,,TN,10/23/1995 21:30 +Oklahoma City,,CIGAR,OK,10/24/1995 0:00 +Hollister,,,CA,10/24/1995 2:00 +Brunswick County,,,ND,10/25/1995 16:55 +Center Valley,,TRIANGLE,PA,10/25/1995 18:00 +Puyallup,YELLOW,LIGHT,WA,10/25/1995 23:00 +Prince of Wales Island,,,AK,10/27/1995 20:28 +Siletz,,,OR,10/27/1995 21:23 +Greenwood,,,CA,10/28/1995 1:30 +Auburn,,,WA,10/28/1995 20:00 +Antelope,,,CA,10/28/1995 21:00 +Ellisville,,,MO,10/29/1995 21:40 +Kodak,,,TN,10/29/1995 21:40 +,,TRIANGLE,WA,10/30/1995 21:30 +Seattle,,,WA,10/30/1995 23:30 +Tacoma,,LIGHT,WA,10/31/1995 19:00 +Startup,RED,,WA,10/31/1995 20:45 +Tacoma,,,WA,10/31/1995 21:10 +Rockdale County,,CIRCLE,GA,10/31/1995 22:00 +West Hartford,,,CT,10/31/1995 22:05 +Bothell,,,WA,11/1/1995 0:15 +Lakeport,RED,LIGHT,CA,11/1/1995 0:30 +Randolph,,CIRCLE,MA,11/1/1995 2:00 +Randolph,,LIGHT,MA,11/1/1995 2:00 +Palm Springs,,TRIANGLE,CA,11/1/1995 4:00 +Manson,,,WA,11/1/1995 11:40 +Lake Forest,ORANGE,,CA,11/1/1995 16:00 +San Juan,,SPHERE,CA,11/1/1995 18:30 +Stroudsburg,,SPHERE,PA,11/1/1995 20:00 +Sedro Woolley,,,WA,11/1/1995 21:45 +Fontana,,OTHER,CA,11/1/1995 22:00 +Daphne,,TRIANGLE,AL,11/1/1995 22:30 +Plano,,SPHERE,TX,11/1/1995 22:30 +Albany,,,NY,11/3/1995 0:00 +Maryland Heights,,,MO,11/3/1995 14:17 +Belmont,,,CA,11/3/1995 22:25 +Colton,,,CA,11/3/1995 23:00 +West Seattle,,,WA,11/3/1995 23:06 +Brockton,,,MA,11/4/1995 0:00 +Chelan,ORANGE,,WA,11/4/1995 11:53 +Alfalfa,,,OR,11/4/1995 23:45 +Lexington,,,KY,11/5/1995 0:00 +Kirksville,,SPHERE,MO,11/5/1995 18:00 +Champaign,,,IL,11/5/1995 21:45 +Mascoutah,,,IL,11/5/1995 23:20 +St. Augustine,,,FL,11/6/1995 0:15 +Tampa,,,FL,11/6/1995 0:20 +Lebanon,,,OR,11/6/1995 20:45 +Rockland,,,CA,11/7/1995 23:10 +Pilot Rock,BLUE,LIGHT,OR,11/8/1995 19:00 +Elizabeth,,OVAL,NJ,11/9/1995 16:30 +Beaverton,,,OR,11/10/1995 19:50 +Embarrass,,DISK,MN,11/10/1995 20:00 +Eilmsport,,,PA,11/10/1995 21:00 +Auburn,GREEN BLUE,,WA,11/10/1995 23:25 +Brownsville,,CIRCLE,TX,11/10/1995 23:45 +Eugene,,,OR,11/11/1995 1:15 +Pichacho Peak,,CIRCLE,AZ,11/11/1995 10:00 +Rock Island,,LIGHT,WA,11/11/1995 18:25 +Solvang,,,CA,11/11/1995 19:00 +Kirkland,RED,,WA,11/11/1995 21:45 +Keesler AFB,,,MS,11/12/1995 19:00 +Las Vegas,,,NV,11/12/1995 21:00 +Roy,RED,TRIANGLE,UT,11/12/1995 23:20 +Birmingham,,,AL,11/13/1995 0:15 +Lake Oswego,GREEN,,OR,11/13/1995 19:50 +American Canyon,RED GREEN,,CA,11/14/1995 18:30 +Midway,,,GA,11/14/1995 18:45 +Green Co.,,,TN,11/15/1995 3:00 +Milwaukee,,FIREBALL,WI,11/15/1995 19:30 +La Puente,,OTHER,CA,11/15/1995 22:00 +Boulder,GREEN,FORMATION,CO,11/15/1995 22:30 +North East,,OVAL,MD,11/15/1995 23:00 +Elk Grove,,,CA,11/16/1995 21:40 +Tacoma,,,WA,11/17/1995 0:30 +Simsbury,,,CT,11/17/1995 17:18 +Merrick,,CHEVRON,NY,11/17/1995 21:00 +Moriches,,OTHER,NY,11/17/1995 22:05 +Basking Ridge,RED,,NJ,11/17/1995 22:20 +Orange,RED,,VT,11/17/1995 22:20 +Sector 18,GREEN,,NY,11/17/1995 22:20 +Lower Nazareth,,,PA,11/17/1995 22:25 +Yarmouth,,,ME,11/17/1995 22:26 +York,,,ME,11/17/1995 22:27 +Fall River,GREEN,,MA,11/17/1995 22:30 +Biddeford,,,ME,11/17/1995 22:35 +Arlington,,,WA,11/17/1995 23:00 +Seattle,,,WA,11/17/1995 23:00 +Seattle,RED BLUE,,WA,11/17/1995 23:00 +Seattle,,,WA,11/17/1995 23:30 +Seattle,RED BLUE,,WA,11/17/1995 23:30 +Seymour-Johnson AFB,,,NC,11/17/1995 23:30 +Orlando,,,FL,11/18/1995 0:00 +Muskegon,RED,,MI,11/18/1995 1:15 +Seattle,,,WA,11/18/1995 15:08 +Mojave,,,CA,11/18/1995 17:40 +Ringgold,,DELTA,GA,11/18/1995 21:00 +Framingham,GREEN,,MA,11/19/1995 0:26 +Phoenix,,,AZ,11/19/1995 17:30 +Trenton,,,IA,11/19/1995 18:00 +Carson City,,,NV,11/19/1995 18:30 +Redding,RED ORANGE YELLOW BLUE,,CA,11/19/1995 18:30 +Placerville,,,CA,11/19/1995 18:35 +Redding,ORANGE GREEN,,CA,11/19/1995 18:37 +Holton,,,KS,11/19/1995 20:45 +Olathe,RED BLUE,,KS,11/19/1995 21:50 +Virginia Beach,YELLOW,,VA,11/19/1995 23:06 +Virginia Beach,,CIRCLE,VA,11/19/1995 23:06 +Elizabethtown,,OTHER,KY,11/20/1995 2:00 +College Station,,LIGHT,TX,11/20/1995 5:15 +Belle Fourche,GREEN,,SD,11/20/1995 6:15 +Tampa,,,FL,11/20/1995 13:42 +Mayfield,,TRIANGLE,KY,11/20/1995 19:00 +Sumter,,,SC,11/20/1995 19:12 +Federal Way,,,WA,11/20/1995 20:25 +Bremerton,,,WA,11/20/1995 21:50 +Christmas Valley,,LIGHT,OR,11/20/1995 22:00 +Peyton,,,CO,11/21/1995 18:00 +Memphis,,,TN,11/21/1995 22:00 +Washburn,,TRIANGLE,ND,11/21/1995 23:30 +Woodland,,,CA,11/22/1995 19:45 +Haltbro,,,PA,11/22/1995 20:03 +Gaithersberg,RED,FORMATION,MD,11/23/1995 1:00 +Comanche County,,,OK,11/24/1995 0:00 +Portland,RED GREEN,DISK,MI,11/24/1995 18:00 +Wishkah River,GREEN,,WA,11/25/1995 0:42 +Woodland,,,CA,11/25/1995 20:01 +Hickory,,SPHERE,NC,11/27/1995 0:00 +Lyons,,OTHER,CO,11/27/1995 20:00 +Fort Morgan,,,CO,11/27/1995 23:00 +Palm Springs,,,CA,11/28/1995 21:00 +Bellevue,,,WA,11/28/1995 21:30 +Antelope Valley,,LIGHT,CA,11/29/1995 16:40 +Redding,,,CA,11/29/1995 19:05 +Glen Ellen,,,CA,11/29/1995 21:28 +Howell,,,NJ,11/30/1995 22:35 +Waukesha,,,WI,12/1/1995 17:20 +Mount Shasta,,,CA,12/1/1995 21:00 +Owosso,,LIGHT,MI,12/1/1995 22:55 +Orland Park,,,IL,12/1/1995 23:40 +Sebastopal,,,CA,12/2/1995 22:00 +Chandler,,,AZ,12/3/1995 11:20 +Boring,,,OR,12/3/1995 21:00 +Nisqually Delta,,,WA,12/3/1995 22:00 +Deming,,VARIOUS,NM,12/4/1995 2:00 +Seattle,,LIGHT,WA,12/4/1995 2:14 +Geneva,,,NY,12/4/1995 22:16 +North Bend,,,WA,12/5/1995 20:30 +North Bend,,CHEVRON,WA,12/5/1995 20:30 +Bothell,,,WA,12/6/1995 17:00 +Lynnwood,,,WA,12/6/1995 22:45 +Oldsmar,ORANGE BLUE,LIGHT,FL,12/7/1995 20:40 +,,VARIOUS,CA,12/8/1995 18:00 +Springfield,,,IL,12/9/1995 18:30 +Rapid City,BLUE,CIRCLE,SD,12/10/1995 5:00 +Clayton,,,NM,12/10/1995 6:00 +Phoenix,,,AZ,12/10/1995 18:12 +Houston,,,TX,12/10/1995 22:45 +Jolliet,RED,,IL,12/10/1995 23:00 +Glen,,,NY,12/12/1995 22:30 +Upper Makefield,,,PA,12/13/1995 18:45 +Boise,,,ID,12/14/1995 4:24 +Pomona,,ROUND,CA,12/14/1995 14:45 +Las Vegas,BLUE,,NV,12/14/1995 21:40 +Elkridge,GREEN,FIREBALL,MD,12/15/1995 19:30 +Hawesville,ORANGE,VARIOUS,KY,12/15/1995 20:50 +Ainsworth,,LIGHT,NE,12/15/1995 22:00 +Greenville,ORANGE,,NC,12/17/1995 20:15 +New York City,,TRIANGLE,NY,12/18/1995 20:00 +Clinton,,TRIANGLE,MS,12/18/1995 21:00 +Scottsdale,,,AZ,12/18/1995 21:45 +Joliet,,OVAL,IL,12/19/1995 15:20 +Indian Heights,,,IN,12/19/1995 17:40 +Schnecksville,BLUE,,PA,12/20/1995 23:50 +Warren,,,MA,12/23/1995 23:50 +Pasadena,,LIGHT,TX,12/24/1995 0:00 +Moro,,TRIANGLE,AR,12/24/1995 17:30 +Centreville,,FIREBALL,AL,12/24/1995 22:00 +Christiansburg,,TRIANGLE,VA,12/24/1995 23:30 +California,,,CA,12/27/1995 20:15 +Indian Falls,,,NY,12/28/1995 4:35 +San Diego,,CROSS,CA,12/29/1995 23:00 +Seattle,,,WA,12/30/1995 1:00 +Livingston,,FIREBALL,MT,12/30/1995 9:30 +Longview,,,WA,12/31/1995 19:00 +Lake Stevens,,FIREBALL,WA,12/31/1995 21:00 +Crescent City,BLUE,LIGHT,CA,1/1/1996 1:30 +Key Largo,,TRIANGLE,FL,1/1/1996 3:30 +Phoenix,,,AZ,1/1/1996 7:10 +San Diego,,SPHERE,CA,1/1/1996 12:00 +Elizabethtown,,TRIANGLE,NC,1/1/1996 21:00 +Seattle,,SPHERE,WA,1/1/1996 23:00 +Scottsdale,YELLOW,,WA,1/2/1996 1:30 +Kelso,,,WA,1/3/1996 15:30 +Fort Smith,GREEN,,AR,1/3/1996 18:15 +Hayward,,,CA,1/3/1996 23:08 +Round Lake,RED,,IL,1/5/1996 1:30 +E. Greenville,,,PA,1/5/1996 22:00 +Portland,,,OR,1/7/1996 7:00 +St. George,,,UT,1/7/1996 11:30 +Boise,,TRIANGLE,ID,1/7/1996 17:00 +Logan,GREEN,,UT,1/7/1996 21:00 +Wenatchee,,,WA,1/8/1996 21:20 +Rockville,,,MD,1/9/1996 4:45 +Meadville,,,PA,1/10/1996 18:50 +Woodinville,YELLOW,,WA,1/11/1996 17:58 +Snowflake,,,AZ,1/11/1996 20:15 +Latour,RED,,MO,1/12/1996 21:40 +Springfield,,,MO,1/13/1996 0:00 +Lancaster,,,MO,1/13/1996 5:45 +Osage Beach,,,MO,1/13/1996 20:22 +Selma,,TRIANGLE,OR,1/13/1996 21:00 +Charleston,,,SC,1/14/1996 6:05 +Chesterfield,,,VA,1/14/1996 17:00 +Collinsville,,,IL,1/14/1996 21:00 +Panama City Beach,,CIRCLE,FL,1/15/1996 0:00 +Hill City,,OVAL,MN,1/15/1996 2:30 +Spanaway,,,WA,1/15/1996 5:00 +Loredo,RED,FORMATION,TX,1/15/1996 18:00 +Birmingham,,TEARDROP,AL,1/15/1996 22:00 +Seattle,,,WA,1/16/1996 7:40 +Monitor,,,WA,1/16/1996 22:32 +Monitor,ORANGE,,WA,1/16/1996 22:32 +San Diego,,,CA,1/18/1996 3:15 +Fayetteville,,,AR,1/18/1996 6:30 +Stockton,,LIGHT,NJ,1/20/1996 21:44 +Madison,,,WI,1/20/1996 22:00 +Fullerton,,TRIANGLE,CA,1/22/1996 11:00 +Redding,,,CA,1/22/1996 21:00 +Clark,,,MO,1/22/1996 21:30 +Minot,,,ND,1/23/1996 20:15 +Bartlett,,,TN,1/25/1996 15:04 +Redding,RED,,CA,1/25/1996 21:15 +Phoenix,,,AZ,1/25/1996 21:30 +Sedgewick,,,ME,1/26/1996 23:59 +Chandler,,,AZ,1/28/1996 0:00 +Oregon City,,,OR,1/30/1996 0:00 +Heflin,,LIGHT,AL,1/31/1996 2:00 +Buckhead Ridge,,LIGHT,FL,1/31/1996 20:15 +New Hampshire,ORANGE,,OH,2/1/1996 0:00 +Woodinville,,,WA,2/1/1996 6:07 +Doyline,,TRIANGLE,LA,2/1/1996 15:00 +Big Pine,,,CA,2/1/1996 21:00 +Las Vegas,GREEN,,NV,2/1/1996 21:05 +Kensington,,LIGHT,MD,2/1/1996 22:00 +Platteville,,CIRCLE,WI,2/1/1996 22:30 +Portland,,,OR,2/2/1996 20:35 +Lake Oswego,,,OR,2/3/1996 11:00 +Walla Walla Airport,YELLOW,,WA,2/3/1996 22:44 +Marblemount,,,WA,2/4/1996 13:30 +Gilbert,,,AZ,2/7/1996 17:30 +Redding,,,CA,2/8/1996 0:15 +St. Joseph,GREEN,SPHERE,MO,2/8/1996 7:11 +Danville,,DISK,VA,2/9/1996 10:00 +Langley,,CYLINDER,WA,2/9/1996 17:50 +Granite Falls,,CYLINDER,WA,2/9/1996 18:25 +Redmond,,,WA,2/9/1996 18:30 +Woodinville,,,WA,2/9/1996 18:40 +Seattle,,,WA,2/9/1996 18:45 +Whidbey Island,,,WA,2/9/1996 18:45 +Charleston,,,OR,2/9/1996 19:30 +Eureka,,,CA,2/9/1996 19:45 +Hollywood,,,FL,2/9/1996 21:40 +Mount Shasta,,FIREBALL,CA,2/10/1996 17:00 +Big Cypress Parks,,CIRCLE,FL,2/11/1996 14:00 +Lake Stevens,RED,,WA,2/11/1996 19:30 +Sweet Home,,,OR,2/13/1996 18:30 +Parkers Prairie,,CIRCLE,MN,2/14/1996 18:30 +New Gretna,,VARIOUS,NJ,2/14/1996 20:00 +Miltona,,CIRCLE,MN,2/14/1996 21:30 +Camden,,OTHER,SC,2/15/1996 16:00 +Cashmere,ORANGE,,WA,2/16/1996 4:10 +Reno,,,NV,2/16/1996 18:22 +Ithaca,,,NY,2/16/1996 21:45 +Cactus Flats,,,CA,2/17/1996 19:30 +Cedar Springs,,,MI,2/18/1996 2:05 +Gainesville,,DIAMOND,FL,2/18/1996 19:45 +Vero Beach,,,FL,2/19/1996 20:45 +Whidbey Island,,,WA,2/19/1996 22:44 +Benicia,RED,VARIOUS,CA,2/20/1996 1:00 +Poway,,LIGHT,CA,2/23/1996 12:40 +Los Angeles,,TRIANGLE,CA,2/23/1996 20:15 +Madison,,,TN,2/23/1996 21:29 +Prineville,,,OR,2/23/1996 22:30 +Edwards AFB,ORANGE,,CA,2/24/1996 3:15 +Tehachapi Mtns.,ORANGE,LIGHT,CA,2/24/1996 3:20 +Glendora,RED,,CA,2/24/1996 3:27 +Edwards AFB,,,CA,2/25/1996 0:00 +Doylestown,,,PA,2/25/1996 2:30 +Fort Lauderdale,,DIAMOND,FL,2/26/1996 12:20 +Seattle,,,WA,2/27/1996 0:00 +Troutdale,,,WA,2/27/1996 0:00 +Marysville,YELLOW,,WA,2/27/1996 19:45 +Detroit,,LIGHT,MI,2/27/1996 21:30 +Cleveland,,,OH,2/27/1996 22:00 +Saginaw,,,MI,2/27/1996 22:01 +Saginaw,,LIGHT,MI,2/27/1996 22:01 +Newcastle,,,WA,2/28/1996 7:10 +Tri-Cities,,,WA,2/28/1996 19:45 +Bothell,,,WA,2/28/1996 19:48 +Lynnwood,,,WA,2/28/1996 19:50 +Redmond,,,WA,2/28/1996 19:50 +La Crosse,,LIGHT,WI,2/28/1996 21:00 +Cedar Springs,RED GREEN,,MI,2/29/1996 1:15 +Redmond,ORANGE,,WA,2/29/1996 19:45 +Princeton,ORANGE,,WI,3/1/1996 0:00 +Norman,,LIGHT,OK,3/1/1996 8:00 +Byron,,FORMATION,NY,3/1/1996 19:00 +Issaquah,RED BLUE,,WA,3/1/1996 19:08 +Seattle,YELLOW,,WA,3/1/1996 19:30 +Redmond,ORANGE,,WA,3/1/1996 19:55 +Bothell,RED,,WA,3/1/1996 19:58 +Seatac,RED GREEN BLUE,,WA,3/1/1996 21:30 +Bath,,,IL,3/1/1996 22:15 +Mountain Village,,,AK,3/2/1996 0:30 +Seattle,,,WA,3/2/1996 19:10 +Casa Grande,,,AZ,3/4/1996 19:25 +Lemore,,,CA,3/5/1996 0:00 +Whidbey Island,,LIGHT,WA,3/5/1996 19:45 +Lakeside,,LIGHT,CA,3/6/1996 18:05 +Frankfort,BLUE,OTHER,IL,3/6/1996 19:00 +Coral Gables,,,FL,3/7/1996 0:25 +Henderson,,,NV,3/7/1996 20:55 +Llano,,OVAL,CA,3/8/1996 1:00 +Boise,,,ID,3/9/1996 1:15 +Morristown,,OTHER,NJ,3/9/1996 21:05 +Horry County,,,SC,3/11/1996 0:00 +Pink Hill,,,NC,3/13/1996 23:05 +Shafter,,,CA,3/14/1996 10:00 +Sewickly,,DOME,PA,3/15/1996 0:00 +Spokane,,FLASH,WA,3/15/1996 1:00 +Cotati,,SPHERE,CA,3/15/1996 1:30 +Wethersfield,,DISK,CT,3/15/1996 13:00 +Houston,,VARIOUS,TX,3/15/1996 18:00 +Evansville,ORANGE,,IN,3/15/1996 18:35 +St. Petersburg,,,FL,3/19/1996 20:30 +Texas highway 54 heading into NM - after crossing I-10,,OTHER,TX,3/19/1996 20:30 +Woodland,,,CA,3/20/1996 0:00 +Appalachin,,DISK,NY,3/20/1996 19:00 +Seattle,,,WA,3/20/1996 21:00 +Three Rivers,,TRIANGLE,MI,3/21/1996 0:00 +Three Rivers,,LIGHT,MI,3/21/1996 21:00 +Bethesda,,,MD,3/22/1996 8:00 +Meridian,,,MS,3/22/1996 16:00 +Maple Valley,,OVAL,WA,3/22/1996 21:30 +Houston,,,TX,3/22/1996 23:29 +Middletown,,,NJ,3/23/1996 0:00 +Guemes Island,,,WA,3/23/1996 19:16 +Ocalla,,,FL,3/23/1996 20:00 +Salinas,,LIGHT,CA,3/23/1996 20:58 +Medford,,,NY,3/24/1996 19:25 +Austin,,,TX,3/24/1996 20:10 +Allentown,,,PA,3/24/1996 23:15 +Portland,,,OR,3/25/1996 23:56 +Pleasant Valley,,,CT,3/26/1996 0:16 +Irvine,ORANGE,CONE,CA,3/26/1996 14:00 +Miami,RED YELLOW,,FL,3/26/1996 19:30 +Thousand Oaks,,,CA,3/26/1996 21:45 +Seattle,,,WA,3/27/1996 2:15 +Greendale,,RECTANGLE,IN,3/28/1996 19:40 +Greendale,,RECTANGLE,KY,3/28/1996 19:40 +Anderson,,CROSS,CA,3/30/1996 10:00 +N. Everett,,CYLINDER,WA,3/30/1996 17:00 +Throop,,LIGHT,PA,3/30/1996 21:00 +Auburn,RED,,WA,3/30/1996 23:00 +Lumberton,,,TX,4/1/1996 0:00 +Wartrace,,,TN,4/1/1996 1:00 +Kingston,,TRIANGLE,AR,4/1/1996 18:00 +Monument Valley,,LIGHT,UT,4/1/1996 19:00 +Harrisburg,,FORMATION,PA,4/1/1996 22:00 +Washington,,,PA,4/1/1996 22:00 +Mason,,,MI,4/1/1996 22:26 +Anamosa,,FIREBALL,IA,4/1/1996 23:00 +Dayton,,DISK,NV,4/1/1996 23:00 +Purchase,,TRIANGLE,NY,4/1/1996 23:00 +Mussel Shoals,BLUE,OTHER,AL,4/2/1996 13:00 +Jacksonville,,,FL,4/2/1996 20:15 +Lagrange,,LIGHT,KY,4/3/1996 16:00 +Las Vegas,,,NV,4/3/1996 22:30 +Fontana,,,CA,4/3/1996 23:00 +Fontana,ORANGE,,CA,4/3/1996 23:00 +Las Vegas,,,NV,4/4/1996 2:45 +Redding,,DISK,CA,4/5/1996 12:00 +San Diego,RED,,CA,4/5/1996 20:30 +San Diego,RED,,CA,4/5/1996 21:00 +San Diego,RED,,CA,4/5/1996 21:00 +San Diego,RED,FORMATION,CA,4/5/1996 21:00 +San Diego,RED,LIGHT,CA,4/5/1996 21:00 +Arlington,,DISK,WA,4/5/1996 23:30 +Billings,,,MT,4/6/1996 22:07 +Lakewood,,,CO,4/7/1996 11:50 +Bellflower,,,CA,4/7/1996 13:30 +Seattle,,,WA,4/7/1996 18:15 +Bradenton,,,FL,4/9/1996 21:50 +Moundhouse,,DISK,NV,4/10/1996 23:00 +Santa Cruz,,CYLINDER,CA,4/11/1996 12:44 +Memphis,RED,,TN,4/11/1996 13:00 +Nikishi,RED,,AK,4/12/1996 2:00 +Olathe,,,KS,4/12/1996 21:45 +Baltimore,,,MD,4/12/1996 22:08 +Phillipsburg,,,PA,4/12/1996 23:55 +Phillipsburg,,,PA,4/12/1996 23:55 +Fort Myers,ORANGE,,FL,4/13/1996 23:17 +Luck,,,WI,4/14/1996 0:00 +Minneapolis,,,MN,4/14/1996 2:00 +Polk County,,,WI,4/14/1996 2:00 +Petoskey,,,MI,4/14/1996 2:05 +St. Cloud,,,MN,4/14/1996 2:05 +Wyoming,,,MN,4/14/1996 2:10 +Cheboygan,,,MI,4/14/1996 3:05 +Petoskey,,,MI,4/14/1996 3:10 +St. Ignace,,,MI,4/14/1996 3:10 +Groton,,OTHER,CT,4/14/1996 13:00 +St. Johns,,,MI,4/14/1996 22:00 +Gretna,,SPHERE,LA,4/15/1996 0:30 +Long Beach,GREEN,FIREBALL,CA,4/15/1996 5:11 +Bakersfield,,,CA,4/15/1996 5:13 +Bakersfield,BLUE,,CA,4/15/1996 5:13 +Campbell,,,CA,4/15/1996 5:13 +Fort Morgan,,LIGHT,CO,4/15/1996 5:30 +Lacoochee,,FIREBALL,FL,4/15/1996 14:00 +Monrovia,,CHEVRON,CA,4/15/1996 14:00 +Fort Collins,,,CO,4/15/1996 16:35 +Big Stone Gap,,LIGHT,VA,4/15/1996 21:00 +Los Angeles,,OTHER,CA,4/15/1996 21:00 +Kelso,ORANGE YELLOW,CYLINDER,WA,4/15/1996 23:00 +Pleasant Hill,RED,,CA,4/16/1996 1:45 +Pine Bluff,,,AR,4/17/1996 21:00 +Socorro,,TRIANGLE,NM,4/20/1996 0:00 +Gilman,,,VT,4/20/1996 1:00 +La Crosse,,TRIANGLE,WI,4/20/1996 15:00 +Redding,,,CA,4/20/1996 22:05 +Rochester,,,MN,4/22/1996 3:15 +Gunteersville,,CIRCLE,AL,4/22/1996 17:00 +Edmonds,,,WA,4/22/1996 21:30 +Richmond,,,VA,4/23/1996 17:10 +no data,,,MO,4/23/1996 22:45 +Port Angeles,,,WA,4/24/1996 1:15 +Santa Barbara,,,CA,4/25/1996 21:30 +Gold River,RED,,CA,4/25/1996 22:00 +Bishop,,,CA,4/25/1996 22:05 +Riggins,,EGG,ID,4/25/1996 23:00 +Langley,,,WA,4/26/1996 3:30 +McAllen,YELLOW,DISK,TX,4/26/1996 12:30 +Merced,,,CA,4/26/1996 20:50 +Lake Nacemiento,,,CA,4/26/1996 20:55 +San Jose,,,CA,4/27/1996 1:30 +Albany,,,OR,4/27/1996 22:30 +Fort Walton Beach,,,Fl,4/28/1996 0:10 +Mile 69,,,WY,4/28/1996 1:00 +Kalispell,GREEN,,MT,4/28/1996 1:30 +Idaho Falls,BLUE,,ID,4/28/1996 1:40 +Idaho Falls,BLUE,,ID,4/28/1996 1:45 +Holopaw,,VARIOUS,FL,4/28/1996 12:00 +Sacramento,,OTHER,CA,4/29/1996 21:30 +Spokane,,,WA,4/30/1996 22:05 +Rochester,,TRIANGLE,NY,5/1/1996 1:00 +Burns,,TRIANGLE,OR,5/1/1996 1:30 +,,TRIANGLE,OH,5/1/1996 3:00 +Butler,,DISK,PA,5/1/1996 12:15 +Corvalis,BLUE,TRIANGLE,OR,5/1/1996 19:00 +Why,,LIGHT,AZ,5/1/1996 21:00 +Cody,,OTHER,WY,5/1/1996 22:00 +Lumpkin,,DISK,GA,5/1/1996 23:00 +Morris,,,MI,5/4/1996 5:30 +Graford,,LIGHT,TX,5/4/1996 21:45 +Fagle,,,ID,5/4/1996 23:15 +Cortero,,,AZ,5/5/1996 15:10 +New York City,,FIREBALL,NY,5/5/1996 20:00 +San Bruno,RED GREEN,,CA,5/5/1996 20:25 +San Francisco,,,CA,5/5/1996 21:45 +New York City,,LIGHT,NY,5/6/1996 20:00 +New York City,,LIGHT,NY,5/6/1996 20:00 +Tampa,,,FL,5/6/1996 22:00 +Fresno,,,CA,5/7/1996 20:00 +Snelling,,,CA,5/7/1996 21:15 +Tempe,,,AZ,5/7/1996 21:40 +Coos Bay,,,OR,5/7/1996 21:45 +Gardena,,,CA,5/8/1996 1:10 +Cocoa Beach,,,FL,5/8/1996 15:00 +Cle Elum,,,WA,5/8/1996 22:00 +Phoenix,,,AZ,5/9/1996 14:15 +Mansfield,,,TX,5/9/1996 20:20 +Macon,,,GA,5/9/1996 21:23 +Everett,,,WA,5/10/1996 21:30 +Norwood,,FORMATION,PA,5/11/1996 17:00 +Idaho Falls,,LIGHT,ID,5/12/1996 2:00 +Sewanee,,SPHERE,TN,5/12/1996 14:00 +Van Alstyne,,DISK,TX,5/12/1996 21:00 +Kelseyville,,,CA,5/12/1996 23:00 +Santa Cruz,,,CA,5/12/1996 23:00 +Black Hills,,,SD,5/13/1996 20:15 +Rochester,ORANGE YELLOW,,NY,5/13/1996 22:45 +Scottsdale,,,AZ,5/14/1996 21:00 +Tulsa,GREEN,SPHERE,OK,5/15/1996 3:00 +Atolicita Hills,,,CA,5/15/1996 4:50 +Jacksonville,,,FL,5/15/1996 6:15 +Frankfort,RED,TRIANGLE,IL,5/15/1996 21:00 +Bellflower,RED,,CA,5/15/1996 22:05 +Willard,,CIGAR,MO,5/15/1996 22:30 +Covington,,OTHER,KY,5/16/1996 21:17 +Miami,ORANGE,,Fl,5/17/1996 1:30 +Carneys Point,,CYLINDER,NJ,5/18/1996 12:35 +Hampton,,,VA,5/18/1996 22:30 +Seattle,YELLOW,,WA,5/18/1996 23:20 +Salisbury,,,MD,5/19/1996 0:00 +Santa Barbara,,,CA,5/19/1996 2:30 +Visalia,,,CA,5/19/1996 21:45 +Passaic,,DISK,NJ,5/20/1996 16:00 +High Point,,FIREBALL,NC,5/20/1996 23:00 +Burgettstown,,TRIANGLE,PA,5/21/1996 1:00 +Charleston,RED,,IL,5/21/1996 23:58 +Hilliard,RED,,OH,5/22/1996 0:00 +Venice,,,Fl,5/22/1996 20:30 +Huntington,,,WV,5/22/1996 22:30 +Rockford,,,WA,5/23/1996 22:30 +Mint Hill,,TRIANGLE,NC,5/24/1996 20:45 +Youngstown,,,OH,5/24/1996 22:30 +Bowie,,,MD,5/24/1996 23:05 +Chico,,TRIANGLE,CA,5/25/1996 23:00 +Fort Myers,,,Fl,5/26/1996 1:55 +Sullivan,,,MO,5/26/1996 18:36 +Neodesha,,,KS,5/26/1996 21:20 +Riverside,,,CA,5/26/1996 22:10 +Amargosa Valley,,LIGHT,NV,5/27/1996 20:30 +Baltimore,,,MD,5/28/1996 3:00 +Mindon,,CYLINDER,UT,5/28/1996 23:10 +Antioch,,,CA,5/29/1996 3:55 +Menoken,,SPHERE,ND,5/29/1996 23:10 +Chinquipin,,LIGHT,TX,5/31/1996 3:00 +Guerneville,,DIAMOND,CA,6/1/1996 0:00 +Hinckley,,,OH,6/1/1996 0:00 +Longmont,,OTHER,CO,6/1/1996 0:00 +Gibsonton,,LIGHT,FL,6/1/1996 2:00 +Ft Mead,,TRIANGLE,ME,6/1/1996 2:30 +Collingswood,ORANGE,CIRCLE,NJ,6/1/1996 2:50 +Waunakee,,CYLINDER,WI,6/1/1996 3:15 +Beltsville,,TRIANGLE,MD,6/1/1996 5:30 +Seattle,,OTHER,WA,6/1/1996 7:00 +Linden,,DISK,MI,6/1/1996 8:00 +Long Island,,CIRCLE,NY,6/1/1996 13:00 +Lakebay,,TRIANGLE,WA,6/1/1996 14:00 +Chapmansboro,,CIGAR,TN,6/1/1996 17:00 +San Marcos,,OVAL,TX,6/1/1996 17:00 +El Paso,,DISK,TX,6/1/1996 20:00 +Eugene,,TRIANGLE,OR,6/1/1996 20:00 +Klamath Falls to Medford,,LIGHT,OR,6/1/1996 20:00 +Richlands,,LIGHT,NC,6/1/1996 20:30 +New Orleans,,VARIOUS,LA,6/1/1996 21:00 +New Orleans,,VARIOUS,LA,6/1/1996 21:00 +South Kingstown,,DISK,RI,6/1/1996 21:00 +Johnstown,,OVAL,PA,6/1/1996 22:00 +Summerlin,,FIREBALL,NV,6/1/1996 22:00 +Midwest City,,TRIANGLE,OK,6/1/1996 22:30 +Concord,RED,LIGHT,CA,6/1/1996 22:45 +North Providence,,SPHERE,RI,6/1/1996 23:00 +Oglethorpe,,,GA,6/3/1996 18:30 +Gaithersburg,,,MD,6/3/1996 20:00 +Scottsdale,,,AZ,6/4/1996 21:00 +Show Low,,OTHER,AZ,6/4/1996 22:00 +Jackson,,,OH,6/5/1996 22:00 +Lancaster,,,SC,6/5/1996 23:30 +Palmdale,,,CA,6/7/1996 2:20 +Ely,,TRIANGLE,NV,6/7/1996 22:00 +Beloit,,OTHER,WI,6/8/1996 16:30 +Granite Falls,,,WA,6/8/1996 21:30 +Banning,,LIGHT,CA,6/9/1996 5:00 +Eddington,BLUE,TRIANGLE,ME,6/10/1996 1:00 +Blythe,,SPHERE,CA,6/10/1996 22:00 +Phippsburg,,DISK,ME,6/11/1996 1:00 +Seattle,,OTHER,WA,6/11/1996 15:00 +Norman,,SPHERE,OK,6/11/1996 17:30 +Annapolis,,,MD,6/12/1996 3:00 +,,OVAL,CA,6/12/1996 12:00 +Lansdale,BLUE,TRIANGLE,PA,6/12/1996 12:00 +Seattle,,LIGHT,WA,6/12/1996 12:15 +Seattle,,,WA,6/12/1996 21:00 +Ohio,,TRIANGLE,OH,6/12/1996 21:30 +Temple,,DIAMOND,TX,6/13/1996 22:45 +Chesapeake Bay,,DISK,MD,6/14/1996 15:30 +Chapel Hill,RED,CIRCLE,NC,6/15/1996 0:00 +Linesville,,LIGHT,PA,6/15/1996 0:00 +Show Low,,OVAL,AZ,6/15/1996 1:30 +Edmonds,,FORMATION,WA,6/15/1996 2:30 +Gillette,,CIRCLE,WY,6/15/1996 2:30 +Boise,,,ID,6/15/1996 3:05 +Buhl,,RECTANGLE,MN,6/15/1996 7:30 +Carlsbad,,DISK,NM,6/15/1996 12:00 +Van Nuys,,OTHER,CA,6/15/1996 13:00 +Aberdeen,,DISK,MD,6/15/1996 13:30 +Ridgefield,,OVAL,WA,6/15/1996 14:00 +Portland,,CHEVRON,OR,6/15/1996 15:00 +Butler,,CIRCLE,PA,6/15/1996 19:00 +Dundee,,CROSS,NY,6/15/1996 19:00 +Clinton,BLUE,CIRCLE,IL,6/15/1996 21:00 +Newport Beach,,DISK,CA,6/15/1996 21:00 +Woodbridge,,LIGHT,NJ,6/15/1996 21:00 +Millbury,,LIGHT,MA,6/15/1996 21:30 +Coeur d'Alene,,FORMATION,ID,6/15/1996 22:00 +Fayetteville,GREEN,OTHER,NC,6/15/1996 22:00 +Jeckyll Island,,CIRCLE,GA,6/15/1996 22:00 +Lodi,,TRIANGLE,CA,6/15/1996 22:00 +Valley Springs,,TRIANGLE,CA,6/15/1996 23:00 +Eau Claire,ORANGE,RECTANGLE,WI,6/15/1996 23:02 +Moses Lake,,,WA,6/16/1996 1:30 +Dyer,,DIAMOND,IN,6/17/1996 14:45 +San Diego,,LIGHT,CA,6/17/1996 16:00 +San Diego,,CIRCLE,CA,6/18/1996 8:26 +Alabama,,FIREBALL,AL,6/18/1996 17:30 +Seattle,BLUE,,WA,6/19/1996 1:00 +Bremerton,,,WA,6/19/1996 1:05 +Bremerton,GREEN,,WA,6/19/1996 1:05 +Fort Collins,,TRIANGLE,CO,6/19/1996 3:00 +Fort Collins,,TRIANGLE,CO,6/19/1996 3:00 +Tampa,,DISK,FL,6/19/1996 10:00 +Oakley,RED,,CA,6/20/1996 0:00 +Snohomish,,,WA,6/20/1996 0:00 +Renton,,,WA,6/20/1996 2:00 +Kanab,,FIREBALL,UT,6/20/1996 20:00 +Fort Myers,,LIGHT,FL,6/20/1996 22:00 +Palm Springs,RED,,CA,6/21/1996 3:20 +Winchester,,CONE,VA,6/21/1996 22:30 +Buckhannon,,TRIANGLE,WV,6/22/1996 22:30 +Garland,,,TX,6/22/1996 23:15 +Payson,,LIGHT,AZ,6/23/1996 1:30 +Cascade Mtns.,BLUE,,WA,6/23/1996 11:00 +Santa Paula,,,CA,6/23/1996 19:30 +Aurora,RED BLUE,VARIOUS,CO,6/24/1996 0:30 +Philadelphia,,LIGHT,PA,6/24/1996 7:00 +Smryna,,OVAL,GA,6/24/1996 15:00 +Redmond,,,WA,6/24/1996 22:30 +Washington,,DIAMOND,MO,6/25/1996 1:00 +Clinton,,,CT,6/27/1996 3:37 +Baltimore,,,MD,6/28/1996 3:00 +Tempe,,VARIOUS,AZ,6/28/1996 19:00 +Walled Lake,,LIGHT,MI,6/28/1996 22:00 +East Providence,,LIGHT,RI,6/29/1996 21:00 +East Providence,,LIGHT,RI,6/29/1996 22:00 +Nacagdoches,,LIGHT,TX,6/29/1996 23:47 +Salt Lake City,,CIRCLE,UT,6/30/1996 0:00 +Voorhees,GREEN,DISK,NJ,6/30/1996 0:00 +Lake Havasu City,,OTHER,AZ,6/30/1996 1:10 +Sacramento,,LIGHT,CA,6/30/1996 3:00 +Blackwood,,DISK,NJ,6/30/1996 7:00 +Weare,,LIGHT,NH,6/30/1996 21:00 +Chicago,,,IL,6/30/1996 22:00 +Hedgesville,,DISK,WV,6/30/1996 22:30 +Panama City Beach,,LIGHT,FL,7/1/1996 0:00 +Lake George,,LIGHT,NY,7/1/1996 3:00 +Yakima,,,WA,7/1/1996 12:00 +Los Angeles,,FORMATION,CA,7/1/1996 13:00 +Cypress,,OVAL,CA,7/1/1996 18:00 +Albany,,EGG,OR,7/1/1996 19:00 +Bovina,ORANGE GREEN,,TX,7/1/1996 19:00 +Katy,,DIAMOND,TX,7/1/1996 20:00 +Lumpkin,,DISK,GA,7/1/1996 22:00 +Brunswick,,LIGHT,ME,7/1/1996 23:00 +Monroe,,TRIANGLE,WA,7/1/1996 23:00 +Mt. Morris Township,,DISK,MI,7/2/1996 18:00 +Stoughton,,LIGHT,WI,7/3/1996 2:00 +Union City,GREEN,OTHER,PA,7/3/1996 5:00 +Hoh Rain Forest,,DISK,WA,7/3/1996 10:00 +University Place,,FIREBALL,WA,7/3/1996 10:00 +Beach,,DISK,ND,7/3/1996 11:30 +Salmon River,,LIGHT,ID,7/3/1996 23:00 +South Amboy,RED BLUE,TRIANGLE,NJ,7/4/1996 12:00 +Fayetteville,,VARIOUS,AR,7/4/1996 19:35 +Goshen,,LIGHT,NY,7/4/1996 21:30 +Wilmington,RED,TRIANGLE,NC,7/4/1996 22:00 +San Angelo,RED,LIGHT,TX,7/4/1996 23:30 +Traverse City,,OTHER,MI,7/4/1996 23:30 +Oak Hill,,FIREBALL,WV,7/5/1996 0:00 +Springfield,RED,CIRCLE,MA,7/5/1996 18:15 +Camden,ORANGE,OVAL,NJ,7/5/1996 22:00 +Newport,,,PA,7/5/1996 22:00 +Brinnon,,OVAL,WA,7/6/1996 23:00 +St. Louis,,TRIANGLE,MO,7/9/1996 23:30 +IndIan Nation Turnpike,,FIREBALL,OK,7/10/1996 1:30 +Cumming,,RECTANGLE,GA,7/10/1996 2:30 +Kenosha,,OTHER,WI,7/11/1996 0:40 +Pensacola Beach,,SPHERE,FL,7/14/1996 14:00 +Bountiful,,TRIANGLE,UT,7/15/1996 0:35 +Jacksonville,BLUE,LIGHT,IL,7/15/1996 1:30 +Kalamazoo,,OTHER,MI,7/15/1996 5:30 +Ellensburg,,RECTANGLE,WA,7/15/1996 13:30 +Conway,GREEN,OTHER,MO,7/15/1996 14:00 +Sussex,,TRIANGLE,NJ,7/15/1996 17:15 +Alamogordo,YELLOW,VARIOUS,NM,7/15/1996 19:30 +Sussex City,,OTHER,NJ,7/15/1996 20:30 +Amarillo,,OTHER,TX,7/15/1996 21:00 +Camden,ORANGE,CIRCLE,NJ,7/15/1996 22:00 +Sioux City,,TRIANGLE,IA,7/15/1996 22:00 +Tucson,,OTHER,AZ,7/15/1996 23:00 +Eau Claire,ORANGE,,WI,7/15/1996 23:02 +Gothenburg,,CIRCLE,NE,7/15/1996 23:30 +I-5,,DIAMOND,CA,7/17/1996 1:35 +Saline,,OTHER,MI,7/17/1996 20:45 +Winchester,,CONE,VA,7/18/1996 9:58 +Northampton,ORANGE,DISK,PA,7/19/1996 10:45 +Clear Lake,,TEARDROP,TX,7/20/1996 22:00 +Miami Beach,GREEN,TRIANGLE,FL,7/23/1996 21:32 +Danville,,DISK,VA,7/23/1996 22:30 +Seattle,,RECTANGLE,WA,7/24/1996 16:00 +Metalline Falls,,FIREBALL,WA,7/24/1996 23:10 +Rush City,,,MN,7/25/1996 1:30 +Winona,,FLASH,MN,7/30/1996 1:30 +Gilroy,,LIGHT,CA,7/30/1996 11:00 +Crestview,,TRIANGLE,FL,7/30/1996 14:00 +North Little Rock,,TRIANGLE,AR,7/30/1996 22:00 +East Setauket,,OTHER,NY,7/31/1996 21:00 +Beaverton,,DISK,OR,8/1/1996 0:00 +Independence,,TRIANGLE,MO,8/1/1996 2:00 +Raton,,LIGHT,NM,8/1/1996 2:00 +Sandy,BLUE,LIGHT,UT,8/1/1996 12:00 +San Jose,,FIREBALL,CA,8/1/1996 16:00 +Pueblo,,TRIANGLE,CO,8/1/1996 17:00 +Granite City,,SPHERE,IL,8/1/1996 17:45 +Durant,,TRIANGLE,OK,8/1/1996 19:00 +Hastings,,FLASH,MN,8/1/1996 20:00 +Canandaigua,RED,TRIANGLE,NY,8/1/1996 20:30 +Ellsworth,,CHEVRON,ME,8/1/1996 21:00 +Waterbury,,RECTANGLE,CT,8/1/1996 21:00 +Bishop,,TRIANGLE,CA,8/1/1996 21:30 +Newberg,,OTHER,OR,8/1/1996 22:00 +Woodlawn,,DISK,MD,8/1/1996 22:15 +Atwater,,LIGHT,CA,8/1/1996 23:30 +Fishers,,CIRCLE,IN,8/2/1996 11:33 +Fishers,,CIRCLE,IN,8/2/1996 11:33 +Knoxville,,OVAL,IL,8/4/1996 7:00 +Pottstown,,TRIANGLE,PA,8/4/1996 19:30 +West Manchester,,,OH,8/7/1996 23:00 +West Manchester,RED,OVAL,OH,8/7/1996 23:00 +Tularosa,,SPHERE,NM,8/8/1996 20:30 +Ventnor,,CIRCLE,NJ,8/9/1996 19:00 +Wharton,,SPHERE,OH,8/10/1996 21:00 +George,,FORMATION,WA,8/10/1996 22:00 +Seattle,,TRIANGLE,WA,8/10/1996 22:45 +No. Hollywood,,SPHERE,CA,8/10/1996 23:00 +Kerman,,LIGHT,CA,8/10/1996 23:30 +Seattle,YELLOW,,WA,8/12/1996 0:30 +Cheektowaga,,DISK,NY,8/12/1996 13:00 +Bayview Jetty,,DISK,OR,8/12/1996 19:00 +Eureka,,LIGHT,CA,8/12/1996 22:00 +Texas,,SPHERE,TX,8/13/1996 16:45 +Burlington,,LIGHT,CT,8/15/1996 1:00 +Lubbock,RED BLUE,CIRCLE,TX,8/15/1996 1:00 +New Braunfels,,DISK,TX,8/15/1996 1:00 +Grand Rapids,,LIGHT,MI,8/15/1996 2:30 +Grand Rapids,RED,LIGHT,MI,8/15/1996 2:30 +Beeville,,LIGHT,TX,8/15/1996 3:00 +Gold Beach,,OTHER,OR,8/15/1996 12:00 +Greenwich,,RECTANGLE,CT,8/15/1996 14:00 +Bethel,,TRIANGLE,AK,8/15/1996 14:30 +Clymer,,OTHER,PA,8/15/1996 17:00 +Richwood,,FORMATION,WV,8/15/1996 19:00 +Beckley,,OTHER,WV,8/15/1996 20:30 +Centerport,,CROSS,NY,8/15/1996 21:30 +Lexington,,LIGHT,VA,8/15/1996 22:00 +Penrose,,OTHER,CO,8/15/1996 22:00 +Wellfleet,GREEN,TRIANGLE,MA,8/15/1996 22:00 +Plattsburg,RED,TRIANGLE,NY,8/15/1996 23:30 +Tecumseh,,,OK,8/16/1996 0:00 +Fairfield,,TRIANGLE,OH,8/16/1996 14:30 +Santa Barbara,,TRIANGLE,CA,8/16/1996 20:15 +Coon Rapids,,OTHER,MN,8/18/1996 3:18 +Ft. Wayne,,SPHERE,IN,8/18/1996 23:00 +Brewster,,DISK,MA,8/19/1996 5:20 +Spencer,,,SD,8/19/1996 22:30 +West Manchester,ORANGE,DISK,OH,8/20/1996 2:15 +Phoenix,,LIGHT,AZ,8/20/1996 20:30 +Owensville,,,MO,8/20/1996 23:30 +Osborne,,,KS,8/24/1996 1:30 +,,EGG,FL,8/24/1996 15:00 +Fort Collins,,LIGHT,CO,8/24/1996 21:00 +Bothell,,TRIANGLE,WA,8/28/1996 20:15 +Blacksburg,,SPHERE,VA,8/30/1996 19:00 +Coral Springs,,LIGHT,FL,9/1/1996 1:00 +Tuscaloosa,,DISK,AL,9/1/1996 17:00 +Concord,,DISK,MA,9/1/1996 18:00 +Ohio-Michigan border,,LIGHT,OH,9/1/1996 18:00 +New Holland,,,IL,9/1/1996 20:00 +Wattsburgh,,OTHER,PA,9/1/1996 21:00 +Fort Collins,,DISK,CO,9/1/1996 21:30 +Fort Collins,,DISK,CO,9/1/1996 21:30 +Wabeno,,FIREBALL,WI,9/1/1996 22:30 +Wise,,OVAL,VA,9/1/1996 22:30 +Wanaque,,FORMATION,NJ,9/2/1996 19:50 +Belton,,TRIANGLE,MO,9/4/1996 21:30 +Faith,,TRIANGLE,NC,9/5/1996 1:00 +Snake River,,SPHERE,ID,9/5/1996 23:00 +Lake Shasta,,LIGHT,CA,9/6/1996 20:00 +Englewood Cliffs,,CHEVRON,NJ,9/6/1996 21:00 +Stockton,,OTHER,CA,9/7/1996 3:00 +West Manchester,ORANGE,TRIANGLE,OH,9/7/1996 10:50 +Savannah,,DISK,GA,9/9/1996 5:30 +San Francisco,,OVAL,CA,9/9/1996 8:30 +Siloam Springs,,TRIANGLE,AR,9/10/1996 23:45 +Arden Hills,,LIGHT,MN,9/11/1996 22:45 +Victorville,,DISK,CA,9/12/1996 11:00 +Kennewick,,OTHER,WA,9/12/1996 15:35 +York,,FLASH,PA,9/13/1996 2:30 +Austin,,TRIANGLE,TX,9/13/1996 20:30 +Des Moines,BLUE,DISK,IA,9/14/1996 18:00 +Battle Mountain,,DISK,NV,9/14/1996 20:00 +Smithville,,DISK,NJ,9/14/1996 20:30 +Salem,GREEN,TEARDROP,OR,9/15/1996 4:00 +La Mesa,RED,LIGHT,CA,9/15/1996 5:00 +Ironton,,SPHERE,OH,9/15/1996 10:30 +Solomans Island,,LIGHT,MD,9/15/1996 18:00 +Creston,,,WA,9/15/1996 20:45 +Forks,,,WA,9/15/1996 21:00 +Woodville,,TRIANGLE,AL,9/15/1996 21:00 +Madrid,RED,OTHER,NY,9/15/1996 22:00 +Trion,,TRIANGLE,GA,9/15/1996 22:30 +Georgtown,,DISK,CO,9/16/1996 6:15 +Arlington,,OVAL,MA,9/16/1996 18:00 +Concord,,OVAL,MA,9/16/1996 18:00 +Lee's Summit,RED,TRIANGLE,MO,9/17/1996 5:00 +Williamstown,,FORMATION,MA,9/17/1996 22:00 +Ann Arbor,,FIREBALL,MI,9/18/1996 0:20 +Avon Lake,,VARIOUS,OH,9/19/1996 21:30 +Coweta,,DISK,OK,9/20/1996 17:00 +Maxwell,,OTHER,CA,9/21/1996 21:30 +Denver,,LIGHT,CO,9/22/1996 1:00 +Pensacola,,CIGAR,FL,9/22/1996 21:00 +Smithport,,,PA,9/24/1996 13:00 +Cowen,,DISK,WV,9/26/1996 2:39 +Breckenridge,RED,VARIOUS,TX,9/26/1996 20:00 +Kelso,,,WA,9/29/1996 22:13 +Traverse City,,RECTANGLE,MI,9/30/1996 22:00 +Lake Berryessa,BLUE,SPHERE,CA,10/1/1996 1:00 +West Houston,,FORMATION,TX,10/1/1996 1:00 +Bainbridge,,TRIANGLE,OH,10/1/1996 5:30 +New York City,,OVAL,NY,10/1/1996 8:00 +Cupertino,,SPHERE,CA,10/1/1996 17:00 +Safford,,SPHERE,AZ,10/1/1996 18:00 +The Woodlands,ORANGE,FIREBALL,TX,10/1/1996 22:30 +Santa Fe,,RECTANGLE,NM,10/3/1996 20:00 +Crestone,,LIGHT,CO,10/3/1996 20:05 +Derby,,LIGHT,CT,10/3/1996 21:00 +Kansas City,BLUE,,KS,10/6/1996 3:40 +Duvall,,TRIANGLE,WA,10/6/1996 13:00 +San Francisco,,TRIANGLE,CA,10/6/1996 13:00 +New York City,,TRIANGLE,NY,10/6/1996 15:00 +Fire Island,,OTHER,NY,10/6/1996 22:00 +Deming,,OTHER,NM,10/9/1996 15:30 +Higginsville,,TRIANGLE,MO,10/10/1996 3:20 +Charleston,,LIGHT,SC,10/10/1996 22:00 +Monroe County,,CYLINDER,OH,10/10/1996 22:30 +Bismarck,,FORMATION,ND,10/11/1996 16:00 +Damascus,,LIGHT,VA,10/11/1996 22:00 +Reno,,TRIANGLE,NV,10/13/1996 3:19 +Gainesville,,CIRCLE,FL,10/13/1996 6:00 +Astoria,,CIRCLE,OR,10/13/1996 15:00 +Odessa,ORANGE,DIAMOND,TX,10/13/1996 19:47 +Encino,,TRIANGLE,CA,10/13/1996 20:00 +Gainesville,,CIRCLE,FL,10/14/1996 3:00 +San Mateo,,LIGHT,CA,10/15/1996 0:45 +Austin,,TRIANGLE,TX,10/15/1996 3:00 +Cazadero,,,CA,10/15/1996 3:00 +Milwaukee,RED,TRIANGLE,WI,10/15/1996 15:00 +Delano,,OTHER,TN,10/15/1996 18:00 +Blaine,RED,SPHERE,OR,10/15/1996 20:30 +Roanoke,,,VA,10/15/1996 23:00 +Roanoke,RED,TRIANGLE,VA,10/15/1996 23:00 +Memphis,,,TN,10/18/1996 23:30 +Tipton,,SPHERE,IN,10/20/1996 11:18 +Wichita,RED,LIGHT,KS,10/20/1996 18:20 +Odessa,,DIAMOND,TX,10/20/1996 20:20 +Springfield,,TRIANGLE,OH,10/24/1996 9:18 +Lake Charles,,VARIOUS,LA,10/25/1996 2:00 +Laurel,,,MD,10/25/1996 11:08 +Newport Beach,,VARIOUS,CA,10/26/1996 2:00 +Marksville,,TRIANGLE,LA,10/26/1996 20:30 +Manchester,,DIAMOND,NH,10/28/1996 14:00 +Pittsburgh,BLUE,DISK,PA,10/30/1996 7:30 +Goose Creek,,CIGAR,SC,10/30/1996 16:00 +Rose Hill,RED,LIGHT,KS,10/30/1996 18:50 +Richmond,,TRIANGLE,OH,10/30/1996 19:30 +Kokomo,RED,,IN,10/30/1996 22:25 +Boerne,,,TX,10/31/1996 2:15 +Murfreesboro,,CIRCLE,TN,10/31/1996 9:00 +Rockford,,FLASH,MI,10/31/1996 22:00 +Wichita,,LIGHT,KS,10/31/1996 22:00 +Vilonia,,CYLINDER,AR,11/1/1996 12:00 +Merrimac,,TRIANGLE,MA,11/1/1996 19:00 +Chillicothe,,OTHER,OH,11/1/1996 21:00 +Federal Way,,CIRCLE,WA,11/1/1996 23:00 +Reno to Dallas,BLUE,TRIANGLE,TX,11/2/1996 2:00 +New Albany,,,PA,11/2/1996 5:00 +Longmont,,,CO,11/3/1996 18:55 +San Jose,,FORMATION,IL,11/6/1996 17:00 +Seattle,,SPHERE,WA,11/7/1996 23:30 +Canyonville,,DISK,OR,11/9/1996 2:00 +Plymouth,,TRIANGLE,IN,11/9/1996 12:00 +no data,,TRIANGLE,NV,11/12/1996 1:00 +Donnelly,,TRIANGLE,ID,11/12/1996 22:30 +Hesperia,,TRIANGLE,CA,11/13/1996 19:45 +Seminole,,TRIANGLE,FL,11/13/1996 23:30 +Harrisburg,,LIGHT,PA,11/13/1996 23:56 +Corvallis,,SPHERE,MT,11/14/1996 14:15 +Salem,RED,,OR,11/14/1996 18:20 +Hobe Sound,,FIREBALL,FL,11/14/1996 19:00 +Harker Heights,,LIGHT,TX,11/15/1996 10:21 +Lincoln,,DIAMOND,NE,11/15/1996 17:00 +Blossburg,,,PA,11/15/1996 20:30 +Lima,,LIGHT,OH,11/15/1996 20:50 +Albuquerque,,SPHERE,NM,11/15/1996 22:30 +Gorman VOR,,,CA,11/16/1996 0:00 +Las Vegas,,LIGHT,NV,11/16/1996 16:30 +Canton,,LIGHT,PA,11/16/1996 21:30 +Silver Spring,,TRIANGLE,MD,11/16/1996 21:30 +Bandy,,,NY,11/16/1996 22:00 +Riverside,,,NJ,11/16/1996 22:00 +Lake City,,,WA,11/16/1996 22:15 +Frostburg,,,MD,11/16/1996 23:10 +Jacksonville,BLUE,,FL,11/16/1996 23:10 +New York City,,,NY,11/16/1996 23:10 +Odessa,,,NY,11/16/1996 23:10 +Reading,BLUE,,PA,11/16/1996 23:13 +Greenwich,YELLOW,,CT,11/16/1996 23:14 +Frostburg,YELLOW GREEN,,MD,11/16/1996 23:15 +Greenwich,,,CT,11/16/1996 23:15 +Watkins Glen,GREEN,,NY,11/16/1996 23:20 +Mansfield,ORANGE,ROUND,PA,11/16/1996 23:23 +Grandview,,,MO,11/17/1996 0:00 +Arcadia,,,CA,11/17/1996 2:30 +Big Flats,,,NY,11/17/1996 4:30 +Las Vegas,,LIGHT,NV,11/17/1996 21:00 +Middleville,,,MI,11/19/1996 23:05 +Los Angeles,,,CA,11/20/1996 0:00 +Wilmington,,DIAMOND,NC,11/20/1996 0:00 +Surfside,,DIAMOND,TX,11/20/1996 8:00 +Parma,,CIRCLE,OH,11/20/1996 21:30 +North Port,,,FL,11/20/1996 22:30 +Stamping Ground,,TRIANGLE,KY,11/23/1996 2:15 +French Camp,,,CA,11/23/1996 19:30 +Stockton,,,CA,11/23/1996 20:45 +Kingsville,,,OH,11/23/1996 21:40 +Poway,,,CA,11/24/1996 4:50 +Bismarck,,LIGHT,ND,11/24/1996 18:07 +Bismarck,ORANGE,,ND,11/24/1996 19:30 +Miami,,LIGHT,FL,11/24/1996 21:00 +Monterey,,,CA,11/25/1996 20:00 +Arnolds Park,,TRIANGLE,IA,11/25/1996 22:15 +Daytona Beach,YELLOW,DISK,FL,11/26/1996 3:20 +Bloomsburg,ORANGE,TEARDROP,PA,11/26/1996 9:00 +Poteau,,TRIANGLE,OK,11/26/1996 20:25 +Graham County,,,NC,11/27/1996 0:00 +Seattle,GREEN,,WA,11/27/1996 19:30 +Millington,,CHEVRON,TN,11/27/1996 20:00 +Bellevue,,,WA,11/28/1996 21:00 +Wheelersburg,,LIGHT,OH,11/28/1996 22:30 +Los Angeles,,,CA,11/29/1996 19:05 +Sedona,,LIGHT,AZ,11/29/1996 21:45 +Outlook,,LIGHT,WA,11/30/1996 3:00 +La Joya,RED,DISK,TX,11/30/1996 7:00 +Salida,,,CO,11/30/1996 17:12 +Vashon Island,,,WA,11/30/1996 19:15 +Shreveport,,,LA,11/30/1996 21:00 +Kirkland,RED BLUE,,WA,11/30/1996 21:15 +Sedona,,LIGHT,AZ,11/30/1996 22:00 +Kansas City,RED,,MO,12/1/1996 19:38 +Seattle,,TRIANGLE,WA,12/1/1996 21:00 +Columbia,,LIGHT,MO,12/1/1996 22:36 +Wrightwood Mtn.,RED,LIGHT,CA,12/1/1996 23:30 +Sumner,BLUE,,IL,12/2/1996 19:00 +North Bend,GREEN BLUE,,WA,12/3/1996 4:00 +Brooksville,,,FL,12/5/1996 5:30 +Seattle,,,WA,12/5/1996 22:00 +Peebles,,LIGHT,OH,12/5/1996 23:00 +Fort Worth,,CIGAR,TX,12/6/1996 9:35 +Jonesburg,,LIGHT,MO,12/8/1996 0:05 +Highway 15,RED,,NV,12/9/1996 5:00 +Hastings,,TRIANGLE,MN,12/9/1996 23:15 +Memphis,,OVAL,TN,12/10/1996 12:00 +Newtown,,TEARDROP,CT,12/10/1996 18:30 +Gulf Breeze,,SPHERE,FL,12/10/1996 19:50 +Pensacola,YELLOW,,FL,12/10/1996 19:55 +Quartz Hill,,CIRCLE,CA,12/10/1996 22:15 +Camarillo,,LIGHT,CA,12/10/1996 22:30 +Birmingham,,,AL,12/11/1996 17:15 +Gulf Breeze,RED ORANGE,FIREBALL,FL,12/11/1996 19:55 +"I-10, Marker 174",,,NM,12/12/1996 2:06 +Upland,GREEN,FIREBALL,CA,12/12/1996 5:30 +Elizabeth,,VARIOUS,NJ,12/12/1996 17:10 +Fredericksburg,,LIGHT,TX,12/12/1996 18:00 +Greensboro,,LIGHT,NC,12/13/1996 3:00 +Simi Valley,,EGG,CA,12/13/1996 15:20 +Karnak,GREEN,CYLINDER,IL,12/13/1996 20:00 +Detroit,,,MI,12/13/1996 21:00 +Stroudsburg,,LIGHT,PA,12/13/1996 23:00 +Vashon Island,,,WA,12/14/1996 17:15 +West Covina,,,CA,12/14/1996 18:08 +Issaquah,,,WA,12/14/1996 20:20 +Newtown,,TEARDROP,CT,12/15/1996 18:30 +Bartlett,,OTHER,TN,12/15/1996 23:00 +Spokane,,DIAMOND,WA,12/16/1996 14:25 +Everett,GREEN,,WA,12/16/1996 20:10 +Stevens Pass,ORANGE,,WA,12/16/1996 21:00 +Bellingham,,EGG,WA,12/17/1996 0:30 +Morton,,,WA,12/17/1996 1:15 +Redmond,,,WA,12/17/1996 2:30 +Hansville,BLUE,,WA,12/17/1996 6:14 +Bellingham,GREEN,,WA,12/17/1996 6:15 +Seattle,,,WA,12/17/1996 6:15 +Tigard,,,OR,12/17/1996 6:15 +Portland,,,OR,12/17/1996 6:20 +Seattle,BLUE,,WA,12/17/1996 6:20 +Sunrise,,SPHERE,FL,12/17/1996 20:00 +Woodville,,TRIANGLE,TX,12/17/1996 20:17 +Dana Point,,LIGHT,CA,12/17/1996 21:45 +Eugene,,LIGHT,OR,12/18/1996 4:30 +Salinas,GREEN,,CA,12/18/1996 4:45 +The Woodlands,YELLOW,LIGHT,TX,12/18/1996 22:00 +Winchester,,TRIANGLE,TN,12/19/1996 16:30 +Seattle,,,WA,12/19/1996 22:45 +Centralia,RED,,WA,12/20/1996 3:26 +New Castle,RED,CYLINDER,PA,12/20/1996 13:00 +Poulsbo,,,WA,12/21/1996 0:00 +Reno,,,NV,12/22/1996 1:45 +Reno,,OTHER,NV,12/22/1996 1:45 +Parma,,OTHER,OH,12/22/1996 12:30 +Harrisburg,,TRIANGLE,PA,12/24/1996 10:30 +Little Rock,,LIGHT,AR,12/24/1996 23:15 +Fresno,,LIGHT,CA,12/25/1996 2:35 +Seward,GREEN,LIGHT,AK,12/25/1996 22:00 +Fontana,,,CA,12/26/1996 22:40 +Hurst,ORANGE,LIGHT,TX,12/28/1996 1:00 +Rockford,,TRIANGLE,IL,12/28/1996 1:00 +Highway 37,,,CA,12/28/1996 20:15 +Hartsburg,BLUE,,MO,12/29/1996 19:00 +Bastrop,,LIGHT,LA,12/29/1996 20:00 +Elkins,,,WV,12/30/1996 2:30 +Tucson,,DISK,AZ,12/31/1996 18:30 +Gardner,,CIRCLE,MA,12/31/1996 20:00 +Tulsa,RED BLUE,CIGAR,OK,12/31/1996 20:00 +Chilhowie,,CROSS,VA,1/1/1997 0:00 +Chanute,,CIRCLE,KS,1/1/1997 7:00 +Jamestown,,VARIOUS,ND,1/1/1997 7:00 +Arrayo Grande,,OVAL,CA,1/1/1997 13:00 +Johnston,,RECTANGLE,RI,1/1/1997 15:30 +Phoenix,,CHEVRON,AZ,1/1/1997 19:30 +Clatonia,,,NE,1/1/1997 20:30 +Cayce,,,SC,1/1/1997 21:00 +Tom Sauk Moutain,,LIGHT,MO,1/1/1997 23:00 +Austin,,LIGHT,TX,1/2/1997 19:15 +Long Beach,,LIGHT,WA,1/3/1997 3:00 +Steinhatchee,RED,CIGAR,FL,1/4/1997 21:00 +Santa Rosa,,DISK,CA,1/4/1997 21:32 +Haleiwa,,TRIANGLE,HI,1/5/1997 1:10 +Amelia,,LIGHT,OH,1/7/1997 0:35 +Don't Know,,TEARDROP,NV,1/7/1997 21:30 +Brooklyn,,DISK,CT,1/8/1997 17:20 +South Attleboro,BLUE,DISK,MA,1/8/1997 17:22 +Eden,,LIGHT,NY,1/8/1997 19:00 +Columbus,,TRIANGLE,OH,1/10/1997 22:00 +St. Cloud,GREEN,PYRAMID,MN,1/11/1997 5:00 +Carrollton,,CIRCLE,TX,1/11/1997 22:00 +Billings,RED,LIGHT,MT,1/12/1997 23:00 +Lombard,,FIREBALL,IL,1/13/1997 17:30 +McKinlyville,,DISK,CA,1/14/1997 16:00 +Columbia,,LIGHT,SC,1/15/1997 0:30 +Mankato,,SPHERE,MN,1/15/1997 1:15 +Calabash,,OVAL,NC,1/15/1997 4:30 +Macon,,DISK,GA,1/15/1997 7:00 +Circleville,,DISK,OH,1/15/1997 11:30 +Pico Rivera,,OVAL,CA,1/15/1997 15:00 +Long Beach,,EGG,NY,1/15/1997 17:30 +Millsboro,,TRIANGLE,DE,1/15/1997 18:00 +Alturas,,DISK,CA,1/15/1997 18:30 +Ellensburg,,FIREBALL,WA,1/15/1997 23:00 +Seguin,,FIREBALL,TX,1/16/1997 6:30 +Moab,YELLOW GREEN,OTHER,UT,1/16/1997 18:00 +Babson Park,,DIAMOND,FL,1/18/1997 22:00 +Las Vegas,,SPHERE,NV,1/18/1997 22:00 +Blackwell,RED,TRIANGLE,OK,1/21/1997 19:15 +Altus AFB,,VARIOUS,OK,1/22/1997 3:35 +North Kingstown,,TRIANGLE,RI,1/23/1997 18:30 +Alta,,OTHER,UT,1/24/1997 19:00 +Marion,,TRIANGLE,WI,1/25/1997 21:00 +Flagstaff,,LIGHT,AZ,1/26/1997 22:00 +East Greenwich,,DISK,RI,1/29/1997 23:15 +Alto,,TRIANGLE,MI,2/1/1997 6:35 +Yucca Valley,,OTHER,CA,2/1/1997 9:30 +Unincorporated,,RECTANGLE,AZ,2/1/1997 13:00 +Winter Springs,,CONE,FL,2/1/1997 21:00 +Elizabeth,,SPHERE,NJ,2/1/1997 23:00 +Thackery,,,OH,2/2/1997 8:25 +Virden,,DISK,IL,2/3/1997 20:00 +Albuquerque,,FLASH,NM,2/5/1997 22:00 +Grove City,,,PA,2/6/1997 3:15 +Mesa,,TRIANGLE,AZ,2/6/1997 16:45 +Mesa,,TRIANGLE,AZ,2/6/1997 16:45 +Stacy,,,MN,2/8/1997 18:00 +Seattle,,OVAL,WA,2/9/1997 13:45 +Los Angeles,,TRIANGLE,CA,2/10/1997 0:10 +Brentwood,,LIGHT,TN,2/10/1997 18:00 +Phoenix,,CIGAR,AZ,2/11/1997 11:00 +San Antonio,,TRIANGLE,TX,2/12/1997 18:20 +Lakewood,,TEARDROP,CO,2/13/1997 7:00 +Las Vegas,,FORMATION,NV,2/14/1997 18:00 +Ormond Beach,,CHEVRON,FL,2/14/1997 20:00 +La Puente,,OTHER,CA,2/15/1997 3:00 +North Adams,,DIAMOND,MA,2/15/1997 13:00 +Prescott Valley,,OTHER,AZ,2/15/1997 20:00 +Harrisonburg,,FIREBALL,VA,2/15/1997 21:30 +Hudson,,,WI,2/15/1997 22:30 +Blairsville,,LIGHT,PA,2/15/1997 23:35 +Randolph,,CIRCLE,NY,2/16/1997 3:00 +Pittsburgh,,OTHER,PA,2/17/1997 0:47 +Waseca,,OTHER,MN,2/17/1997 22:15 +Guadelupe,,,AZ,2/19/1997 20:15 +Weston,,OTHER,MO,2/22/1997 14:21 +Crystal Lake,ORANGE,SPHERE,IL,2/25/1997 2:00 +Boiling Springs,,,PA,2/25/1997 14:20 +New Florence,,LIGHT,PA,2/25/1997 20:00 +Mobile,BLUE,OVAL,AL,2/26/1997 20:00 +North Beach,,OTHER,MD,2/27/1997 20:00 +St. David,,OVAL,AZ,2/28/1997 16:00 +Mesa,YELLOW,TRIANGLE,AZ,2/28/1997 23:00 +Dorchester,,,MA,3/1/1997 4:00 +Clinton,,CIRCLE,UT,3/1/1997 5:00 +Commerce City,,SPHERE,CO,3/1/1997 12:30 +Riverside,,TRIANGLE,CA,3/1/1997 21:00 +Louisville,ORANGE,FIREBALL,KY,3/1/1997 21:20 +Prairie du Sac,,CROSS,WI,3/2/1997 19:00 +Hemet,,TRIANGLE,CA,3/2/1997 21:00 +Dublin,,TRIANGLE,OH,3/3/1997 2:00 +Sullivan,,LIGHT,MO,3/3/1997 18:30 +Las Vegas,,LIGHT,NV,3/5/1997 0:00 +Phoenix,,CHEVRON,AZ,3/5/1997 14:00 +San Francisco,,OVAL,CA,3/5/1997 18:10 +Rohnert Park,,SPHERE,CA,3/6/1997 1:00 +Virginia Beach,YELLOW,LIGHT,VA,3/6/1997 22:00 +Las Vegas,,,NV,3/6/1997 23:00 +Tacoma,,DISK,WA,3/7/1997 19:00 +Monrovia,,DISK,CA,3/7/1997 22:00 +Seattle,BLUE,FLASH,WA,3/7/1997 22:50 +East Detroit,,DISK,MI,3/8/1997 19:00 +Arizona,,TRIANGLE,AZ,3/9/1997 1:00 +Alpharetta,,TRIANGLE,GA,3/10/1997 10:30 +Virginia Beach,,SPHERE,VA,3/10/1997 12:30 +New York City,,LIGHT,NY,3/10/1997 19:30 +Naples,,,FL,3/10/1997 21:00 +Las Vegas,,LIGHT,NV,3/10/1997 22:00 +Charleston,,SPHERE,WV,3/11/1997 18:30 +Holloman AFB,,,NM,3/12/1997 6:30 +Phoenix,,LIGHT,AZ,3/12/1997 8:00 +New Orleans,,OTHER,LA,3/12/1997 9:00 +Norfolk,,CHEVRON,VA,3/12/1997 20:09 +Terre Haute,,TRIANGLE,IN,3/12/1997 20:30 +Las Vegas,,CHEVRON,NV,3/12/1997 20:40 +Glendale,,LIGHT,AZ,3/12/1997 21:50 +Death Valley,,TRIANGLE,NV,3/12/1997 22:20 +Brentwood,,FORMATION,CA,3/12/1997 23:00 +Santa Fe,,OTHER,NM,3/12/1997 23:00 +Douglas,,TRIANGLE,AZ,3/13/1997 0:00 +Las Vegas,,,NV,3/13/1997 0:00 +Phoenix,,OTHER,AZ,3/13/1997 0:00 +Scottsdale,,TRIANGLE,AZ,3/13/1997 0:00 +Salt Lake City,,OTHER,UT,3/13/1997 5:30 +Casa Grande,,CIRCLE,AZ,3/13/1997 8:00 +Newfoundland,,OVAL,NJ,3/13/1997 10:30 +Seattle,,SPHERE,WA,3/13/1997 13:30 +Lubbock,,TRIANGLE,TX,3/13/1997 17:00 +Prescott,,FORMATION,AZ,3/13/1997 18:00 +New Braunfels,,TRIANGLE,TX,3/13/1997 18:30 +Phoenix,,CHEVRON,AZ,3/13/1997 18:40 +Phoenix,,TRIANGLE,AZ,3/13/1997 19:00 +Scottsdale,,TRIANGLE,AZ,3/13/1997 19:00 +Gila Bend,ORANGE,LIGHT,AZ,3/13/1997 19:45 +Stanfield,,TRIANGLE,AZ,3/13/1997 19:45 +East Mesa,,LIGHT,AZ,3/13/1997 20:00 +Glendale,,DIAMOND,AZ,3/13/1997 20:00 +Kingman,ORANGE,FORMATION,AZ,3/13/1997 20:00 +Phoenix,,CHEVRON,AZ,3/13/1997 20:00 +Phoenix,,CHEVRON,AZ,3/13/1997 20:00 +Phoenix,,CIRCLE,AZ,3/13/1997 20:00 +Phoenix,,OTHER,AZ,3/13/1997 20:00 +Phoenix,,TRIANGLE,AZ,3/13/1997 20:00 +Phoenix,,TRIANGLE,AZ,3/13/1997 20:00 +Phoenix,,TRIANGLE,AZ,3/13/1997 20:00 +Phoenix,,,AZ,3/13/1997 20:05 +Tempe,,OTHER,AZ,3/13/1997 20:10 +Prescott,RED,FORMATION,AZ,3/13/1997 20:12 +Black Canyon City,,CHEVRON,AZ,3/13/1997 20:15 +Phoenix,,LIGHT,AZ,3/13/1997 20:15 +Phoenix,ORANGE,LIGHT,AZ,3/13/1997 20:15 +Phoenix,RED,TRIANGLE,AZ,3/13/1997 20:15 +Prescott,,FORMATION,AZ,3/13/1997 20:15 +Prescott,YELLOW,FORMATION,AZ,3/13/1997 20:15 +Scottsdale,,TRIANGLE,AZ,3/13/1997 20:15 +Northwest Tempe,RED,FORMATION,AZ,3/13/1997 20:20 +Phoenix,,,AZ,3/13/1997 20:20 +Phoenix,,TRIANGLE,AZ,3/13/1997 20:20 +Buckeye,,SPHERE,AZ,3/13/1997 20:25 +Glendale,,,AZ,3/13/1997 20:25 +Cass City,,TRIANGLE,MI,3/13/1997 20:30 +Chandler,,,AZ,3/13/1997 20:30 +Chandler,,TRIANGLE,AZ,3/13/1997 20:30 +Chino Valley,,FORMATION,AZ,3/13/1997 20:30 +Gila Bend,,CHEVRON,AZ,3/13/1997 20:30 +Goodyear,,,AZ,3/13/1997 20:30 +Mt. Springs,,OTHER,TX,3/13/1997 20:30 +Phoenix,,,AZ,3/13/1997 20:30 +Phoenix,,CHEVRON,AZ,3/13/1997 20:30 +Phoenix,ORANGE,FORMATION,AZ,3/13/1997 20:30 +Phoenix,,TRIANGLE,AZ,3/13/1997 20:30 +Phoenix,,TRIANGLE,AZ,3/13/1997 20:30 +Tempe,,FORMATION,AZ,3/13/1997 20:30 +Tempe,,LIGHT,AZ,3/13/1997 20:30 +Libby,,LIGHT,MT,3/13/1997 20:35 +Mesa,,TRIANGLE,AZ,3/13/1997 20:40 +Phoenix,,FORMATION,AZ,3/13/1997 20:40 +Phoenix,,TRIANGLE,AZ,3/13/1997 20:45 +Henderson,,FORMATION,NV,3/13/1997 21:00 +Phoenix,,,AZ,3/13/1997 21:00 +Phoenix,,CHEVRON,AZ,3/13/1997 21:00 +Phoenix,,DIAMOND,AZ,3/13/1997 21:00 +Phoenix,,OTHER,AZ,3/13/1997 21:00 +Phoenix,,TRIANGLE,AZ,3/13/1997 21:00 +Prescott,,FORMATION,AZ,3/13/1997 21:00 +Phoenix,,RECTANGLE,AZ,3/13/1997 21:15 +Monterey,,SPHERE,CA,3/13/1997 21:30 +Sciotoville,,FORMATION,OH,3/13/1997 21:30 +Casa Grande,,FORMATION,AZ,3/13/1997 22:00 +Dateland,,CIRCLE,AZ,3/13/1997 22:00 +Glendale,,FIREBALL,AZ,3/13/1997 22:00 +Phoenix,,OTHER,AZ,3/13/1997 22:00 +Tucson,,LIGHT,AZ,3/13/1997 22:00 +Phoenix,,,AZ,3/13/1997 22:05 +Fresno,,FORMATION,CA,3/13/1997 23:00 +Dunnellon,,LIGHT,FL,3/14/1997 1:35 +Sahuarita,,TRIANGLE,AZ,3/14/1997 19:00 +Tonopah,,SPHERE,AZ,3/14/1997 20:00 +Los Angeles,,TRIANGLE,CA,3/14/1997 21:00 +Colorado Springs,,TRIANGLE,CO,3/14/1997 22:30 +New York City,,OVAL,NY,3/14/1997 23:59 +Kalamazoo,RED,FLASH,MI,3/15/1997 1:00 +San Tan Valley,,LIGHT,AZ,3/15/1997 1:00 +Woodinville,RED,TRIANGLE,WA,3/15/1997 2:00 +Buena Vista,,OVAL,CO,3/15/1997 10:30 +Miami,,LIGHT,FL,3/15/1997 18:00 +Bossier Parish,,RECTANGLE,LA,3/15/1997 19:00 +Fort Hood,,SPHERE,TX,3/15/1997 21:00 +San Diego,,DISK,CA,3/15/1997 21:00 +Iron River,,LIGHT,MI,3/15/1997 21:30 +Oakton,,DELTA,VA,3/15/1997 23:55 +Yuma,,TRIANGLE,AZ,3/16/1997 11:30 +Osterville,,SPHERE,MA,3/16/1997 17:39 +Mountain View,,SPHERE,CA,3/16/1997 18:48 +Salton Sea,RED,OTHER,CA,3/16/1997 20:30 +Maricopa,ORANGE,LIGHT,AZ,3/16/1997 21:00 +Lincoln City,,TRIANGLE,OR,3/17/1997 9:00 +Aquaduct,,TRIANGLE,CA,3/17/1997 10:00 +Wickenburg,,LIGHT,AZ,3/17/1997 20:00 +Mesa,,CHEVRON,AZ,3/17/1997 20:35 +San Diego,,CIRCLE,CA,3/17/1997 21:00 +Tucson,ORANGE,TRIANGLE,AZ,3/17/1997 21:00 +Cleveland,ORANGE,CIGAR,TX,3/19/1997 20:45 +Phoenix,,OTHER,AZ,3/20/1997 0:00 +Santa Fe,,TRIANGLE,NM,3/20/1997 13:00 +Whitefish,,LIGHT,MT,3/20/1997 20:25 +Yucaipa,ORANGE,FIREBALL,CA,3/21/1997 21:00 +Scottsdale,,CIRCLE,AZ,3/22/1997 16:00 +McDonough,,LIGHT,GA,3/22/1997 20:00 +Bakersfield,YELLOW,LIGHT,CA,3/22/1997 20:32 +Lake Geneva,,LIGHT,WI,3/22/1997 21:00 +Unadilla,,LIGHT,NY,3/22/1997 21:30 +Stevens Point,ORANGE,CRESCENT,WI,3/22/1997 22:30 +Albuquerque,,OTHER,NM,3/23/1997 16:30 +Tigard,,DIAMOND,OR,3/23/1997 19:37 +Nederland,,OTHER,CO,3/23/1997 20:30 +Nederland,,OTHER,CO,3/23/1997 21:45 +Manassas,,FORMATION,VA,3/24/1997 23:40 +Stockton,RED,DIAMOND,CA,3/25/1997 20:32 +Owings Mills,,LIGHT,MD,3/26/1997 22:10 +Huron,,CIRCLE,OH,3/26/1997 22:30 +Winslow,,TRIANGLE,AZ,3/26/1997 22:30 +Ann Arbor,RED,LIGHT,MI,3/27/1997 1:00 +Williston,,SPHERE,FL,3/27/1997 1:03 +Sun Prairie,BLUE,,WI,3/27/1997 16:00 +Carlisle,,FORMATION,PA,3/27/1997 20:10 +Carlisle,,FORMATION,PA,3/27/1997 20:10 +Springfield,,DISK,MO,3/27/1997 20:40 +Palm Springs,,LIGHT,CA,3/27/1997 21:00 +Yuma,,SPHERE,AZ,3/27/1997 22:00 +Toledo,RED GREEN,CIRCLE,OH,3/27/1997 22:30 +Carmichaels,,DISK,PA,3/28/1997 16:00 +Houston,,SPHERE,TX,3/28/1997 22:00 +Phoenix City,,,AL,3/29/1997 20:00 +Cobleskill,ORANGE,LIGHT,NY,3/30/1997 0:45 +Shallotte,ORANGE,FORMATION,NC,3/30/1997 20:30 +Juneau,ORANGE GREEN,LIGHT,AK,3/31/1997 21:00 +Gardena,,OTHER,CA,4/1/1997 0:00 +Foster,,CIGAR,VA,4/1/1997 1:00 +Houston,ORANGE,OTHER,TX,4/1/1997 4:00 +Round Rock,,TRIANGLE,TX,4/1/1997 10:00 +Monument Valley,,LIGHT,UT,4/1/1997 18:30 +Homestead,,,FL,4/1/1997 21:00 +Santa Fe,,,NM,4/1/1997 22:00 +Sedona,RED,SPHERE,AZ,4/1/1997 22:00 +Brush Creek,,,TN,4/1/1997 23:05 +Lebanon,RED,SPHERE,MO,4/2/1997 20:15 +Port Wentworth,,OTHER,GA,4/3/1997 1:35 +Seattle,,OTHER,WA,4/3/1997 17:30 +Gaston,YELLOW GREEN,,OR,4/3/1997 19:50 +Kosciusko,,LIGHT,MS,4/3/1997 21:00 +Phoenix,,OVAL,AZ,4/3/1997 21:00 +Atlanta,,SPHERE,GA,4/4/1997 2:15 +Winsted,,,CT,4/4/1997 20:30 +Palm Springs,,OVAL,CA,4/5/1997 1:00 +Fairhope,,CIRCLE,AL,4/5/1997 14:00 +Fairhope,,OTHER,AL,4/5/1997 14:00 +Randle,,LIGHT,WA,4/5/1997 19:50 +Colorado Springs,,CYLINDER,CO,4/7/1997 5:30 +Milwaukee,,OTHER,WI,4/7/1997 14:00 +Austin,,TRIANGLE,TX,4/7/1997 17:00 +Hastings On Hudson,,TRIANGLE,NY,4/7/1997 21:07 +Sonoma,,CHEVRON,CA,4/8/1997 19:45 +Las Vegas,,RECTANGLE,NV,4/8/1997 20:00 +Little Rock,,DISK,AR,4/10/1997 0:30 +Tompson,,LIGHT,GA,4/10/1997 1:30 +Houma,,CIRCLE,LA,4/11/1997 21:15 +Monrovia,,FORMATION,CA,4/12/1997 23:15 +San Diego,,LIGHT,CA,4/13/1997 19:07 +Edison,,TRIANGLE,NJ,4/14/1997 2:15 +Big Bear City,,OVAL,CA,4/14/1997 18:00 +Howard,,,SD,4/15/1997 0:00 +White Mountains,,OTHER,AZ,4/15/1997 1:00 +Fullerton,,VARIOUS,CA,4/15/1997 1:30 +Fort Pierce,,FIREBALL,FL,4/15/1997 2:30 +Plainwell,,DIAMOND,MI,4/15/1997 2:30 +Atwater,,,CA,4/15/1997 5:40 +Hawthorne,,LIGHT,CA,4/15/1997 10:00 +South Point,,EGG,OH,4/15/1997 13:00 +Charlotte,,,NC,4/15/1997 22:00 +Lincoln,,SPHERE,NE,4/15/1997 22:00 +Bakersfield,YELLOW,LIGHT,CA,4/15/1997 22:30 +Harrisburg,,FORMATION,PA,4/15/1997 22:30 +Coolidge,,LIGHT,AZ,4/15/1997 22:45 +Aurora,,CIGAR,TX,4/17/1997 6:00 +Okanogan,,,WA,4/17/1997 17:30 +West Memphis,,LIGHT,AR,4/17/1997 20:23 +Bismarck,,LIGHT,AR,4/17/1997 22:45 +Lake DeGray,ORANGE,FIREBALL,AR,4/17/1997 22:45 +Hartford,ORANGE,,SD,4/18/1997 4:20 +Dallas,,DIAMOND,TX,4/18/1997 7:05 +Cleveland,,TRIANGLE,OH,4/18/1997 20:40 +Tampa,,TRIANGLE,FL,4/18/1997 23:59 +Reno,,OTHER,NV,4/19/1997 1:30 +Suisun,,CIRCLE,CA,4/19/1997 22:00 +Carlinville,,OTHER,IL,4/20/1997 2:00 +Reno,,,NV,4/20/1997 4:00 +Greentown,,FORMATION,IN,4/20/1997 4:28 +Billings,,LIGHT,MT,4/20/1997 19:00 +Lakewood,,,WA,4/20/1997 20:05 +Las Vegas,,LIGHT,NV,4/20/1997 23:00 +La Conner,,,WA,4/21/1997 20:40 +Stanwood,,,WA,4/21/1997 20:40 +Los Angeles,,,CA,4/21/1997 21:20 +Worcester,,EGG,MA,4/22/1997 0:34 +Spokane,RED,LIGHT,WA,4/22/1997 1:00 +Seattle,,,WA,4/23/1997 0:05 +Guntersville,,OVAL,AL,4/23/1997 18:00 +Houston,RED,TRIANGLE,TX,4/23/1997 19:30 +Orlando,,LIGHT,FL,4/23/1997 21:00 +Clarion,,LIGHT,PA,4/24/1997 1:00 +Coos Bay,,SPHERE,OR,4/24/1997 21:30 +New Brighton,,TRIANGLE,MN,4/24/1997 21:45 +Depoe Bay,,,OR,4/24/1997 23:00 +New York City,,OTHER,NY,4/25/1997 0:00 +Delray Beach,RED,LIGHT,FL,4/25/1997 1:45 +San-Carlos mountains,,LIGHT,AZ,4/27/1997 1:00 +Williamston,,TRIANGLE,SC,4/28/1997 0:25 +Houston,,LIGHT,TX,4/28/1997 22:00 +Fresh Pond,GREEN,FORMATION,CA,4/29/1997 17:00 +Twelve Mile,,DISK,IN,4/30/1997 21:00 +Columbia,,LIGHT,MO,4/30/1997 23:00 +Westboro,,OTHER,MA,4/30/1997 23:30 +Maysville,,DISK,KY,5/1/1997 14:00 +Cedar Rapids,BLUE,TRIANGLE,IA,5/1/1997 22:00 +St. Petersburg,,TRIANGLE,FL,5/1/1997 22:00 +State College,,FLASH,PA,5/1/1997 22:00 +Syracuse,,,NY,5/1/1997 23:00 +Oceanside,ORANGE,OTHER,CA,5/2/1997 22:00 +Oceanside,ORANGE,OTHER,CA,5/2/1997 22:05 +Lincoln City,YELLOW,LIGHT,OR,5/2/1997 22:45 +Freeport,,TRIANGLE,IL,5/3/1997 21:00 +Stafford,,OTHER,TX,5/3/1997 21:03 +Freeport,,TRIANGLE,IL,5/3/1997 23:30 +Newport Beach,,TRIANGLE,CA,5/4/1997 22:20 +Norton,,TRIANGLE,KS,5/5/1997 1:00 +West Chester,,EGG,PA,5/5/1997 12:15 +Austin,,LIGHT,TX,5/5/1997 19:00 +Bee Caves,RED BLUE,OTHER,TX,5/5/1997 19:00 +Turlock,,LIGHT,CA,5/5/1997 19:45 +Round Rock,,RECTANGLE,TX,5/5/1997 20:30 +Seattle,,DISK,WA,5/6/1997 17:25 +Santa Monica,,DISK,CA,5/7/1997 1:00 +Corapeake,,FLASH,NC,5/7/1997 20:00 +Sylmar,,OTHER,CA,5/8/1997 1:30 +Citrus Heights,,OTHER,CA,5/8/1997 5:15 +Auburn,,TRIANGLE,WA,5/8/1997 22:00 +Las Vegas,ORANGE,LIGHT,NV,5/9/1997 21:00 +Phoenix,,LIGHT,AZ,5/9/1997 21:50 +Austin,,FLASH,TX,5/10/1997 0:00 +Provo,YELLOW,LIGHT,UT,5/10/1997 0:25 +Neoga,RED,TRIANGLE,IL,5/10/1997 4:10 +Lawton,,,MI,5/10/1997 5:30 +Southside,,OTHER,AL,5/10/1997 21:00 +Sedona,,LIGHT,AZ,5/10/1997 21:50 +Los Padres National Forest,,OTHER,CA,5/10/1997 22:45 +Azle,BLUE,CIRCLE,TX,5/10/1997 23:00 +Winthrop,,OTHER,WA,5/10/1997 23:59 +Porter,RED,OTHER,TX,5/11/1997 12:00 +College,,CIGAR,UT,5/11/1997 13:56 +Greenwich,,TRIANGLE,CT,5/11/1997 23:00 +Wright City,,FIREBALL,MO,5/11/1997 23:43 +Death Valley Gas Station,,OVAL,CA,5/12/1997 23:30 +Edinboro,,OVAL,PA,5/13/1997 3:00 +Valley Springs,,TEARDROP,CA,5/13/1997 19:30 +Petaluma,,TRIANGLE,CA,5/13/1997 21:00 +Cottonwood,,LIGHT,AZ,5/13/1997 22:30 +San Jose,,CIRCLE,CA,5/14/1997 11:40 +San Diego,,DISK,CA,5/15/1997 0:00 +Londonderry,,LIGHT,NH,5/15/1997 2:00 +Mesquite,,TEARDROP,TX,5/15/1997 8:30 +College Station,,LIGHT,TX,5/15/1997 10:00 +Mesquite,,CIRCLE,TX,5/15/1997 10:00 +Palm Beach Gardens,,FORMATION,FL,5/15/1997 16:53 +Sorrento,,CIGAR,FL,5/15/1997 18:30 +Waco,,LIGHT,TX,5/15/1997 20:00 +Asheville,,OTHER,NC,5/15/1997 21:00 +Great River,,OVAL,NY,5/15/1997 21:00 +South Bend,,TRIANGLE,IN,5/15/1997 22:30 +Bouse,,TRIANGLE,AZ,5/15/1997 22:45 +Oklahoma City,,TRIANGLE,OK,5/16/1997 23:00 +Las Vegas,,TRIANGLE,NV,5/17/1997 3:30 +Portland,,OVAL,OR,5/17/1997 14:00 +Grantville,,TRIANGLE,PA,5/18/1997 19:00 +Jackson,,LIGHT,MI,5/18/1997 21:00 +Kalamazoo,,VARIOUS,MI,5/19/1997 0:20 +Los Angeles,,OVAL,CA,5/20/1997 0:00 +Louisville,,CIRCLE,KY,5/20/1997 1:00 +Jupiter,,OTHER,FL,5/20/1997 4:01 +North Pole,,,AK,5/20/1997 15:00 +Caldwell,,OTHER,ID,5/20/1997 21:15 +Wolf Point,,FIREBALL,MT,5/21/1997 4:00 +Phoenix,,OTHER,AZ,5/21/1997 6:00 +Simi Valley,,FORMATION,CA,5/22/1997 21:25 +Chatham,,DISK,NJ,5/22/1997 22:21 +Arcadia,,LIGHT,FL,5/23/1997 4:00 +Lake Tahoe,,FORMATION,CA,5/24/1997 20:00 +North Tonawanda,YELLOW,TRIANGLE,NY,5/24/1997 22:15 +Skies over Sierra Nevada,GREEN,LIGHT,CA,5/25/1997 1:10 +Austin,,DISK,TX,5/25/1997 19:30 +Saxton,,FORMATION,PA,5/25/1997 22:00 +Syracuse,,TRIANGLE,NY,5/25/1997 22:00 +Pompton Lakes,,DISK,NJ,5/26/1997 16:50 +Winnsboro,,OTHER,LA,5/27/1997 0:00 +Laguna Park,,CIGAR,TX,5/27/1997 0:35 +Arlington,,DISK,VA,5/27/1997 15:30 +Huntington,,LIGHT,UT,5/27/1997 23:00 +Wichita,,LIGHT,KS,5/27/1997 23:30 +Central New York,,LIGHT,NY,5/28/1997 22:00 +Canastota,,LIGHT,NY,5/28/1997 23:12 +Aston,,OVAL,PA,5/29/1997 11:59 +Hinckley,,LIGHT,NY,5/29/1997 19:00 +Manchester,,,NH,5/30/1997 2:00 +Dallas,,SPHERE,GA,5/30/1997 11:45 +Pooler,GREEN,FIREBALL,GA,5/30/1997 20:00 +Glendale,,,AZ,5/31/1997 11:28 +Austin,,RECTANGLE,TX,6/1/1997 0:00 +Baltimore,,CHEVRON,MD,6/1/1997 0:00 +Elma,,DISK,WA,6/1/1997 0:00 +Houston,,CHEVRON,TX,6/1/1997 0:00 +Phoenix,,,AZ,6/1/1997 0:00 +Egg Harbor Township,,EGG,NJ,6/1/1997 0:01 +North Bergen,,LIGHT,NJ,6/1/1997 1:00 +Phoenix,RED,,AZ,6/1/1997 1:00 +Rushcreek,,OTHER,IN,6/1/1997 2:00 +Eden Praire,,TRIANGLE,MN,6/1/1997 3:00 +New Mexico,,DISK,NM,6/1/1997 3:30 +South Charleston,,,WV,6/1/1997 5:30 +Crestwood,GREEN,CIRCLE,KY,6/1/1997 6:35 +Hamilton,,CIRCLE,OH,6/1/1997 7:00 +Mt. Vernon,,LIGHT,NY,6/1/1997 8:00 +Garden Grove,,OTHER,CA,6/1/1997 9:00 +American Canyon,,TRIANGLE,CA,6/1/1997 10:00 +Waimanalo,,OVAL,HI,6/1/1997 10:00 +Lashmeet,BLUE,TRIANGLE,WV,6/1/1997 12:00 +Glen Wilton,,,VA,6/1/1997 13:00 +Fresno,,OVAL,CA,6/1/1997 14:00 +Greenfield,RED,,WI,6/1/1997 14:00 +Montebello,,CIRCLE,CA,6/1/1997 18:00 +El Centro,,CHEVRON,CA,6/1/1997 19:00 +Houston,,OTHER,TX,6/1/1997 19:45 +Meriden,,SPHERE,CT,6/1/1997 20:00 +Pelzer,,TRIANGLE,SC,6/1/1997 20:00 +Albany,,OTHER,NY,6/1/1997 21:00 +McComb,,TRIANGLE,OH,6/1/1997 21:00 +Merritt Island,YELLOW,LIGHT,FL,6/1/1997 21:00 +Southern California Operations Area,,TRIANGLE,CA,6/1/1997 21:00 +Springfield,,CHEVRON,MA,6/1/1997 21:00 +El Paso,,OTHER,TX,6/1/1997 21:30 +Park City,,CIRCLE,UT,6/1/1997 22:00 +Richmond,,OTHER,CA,6/1/1997 22:00 +Smithsburg,,OTHER,MD,6/1/1997 22:00 +San Fransisco,,FORMATION,CA,6/1/1997 22:30 +Raton,,,NM,6/1/1997 23:00 +Shoreline,,TRIANGLE,WA,6/1/1997 23:00 +Exeter,,DISK,NH,6/2/1997 1:30 +Spanaway,,DISK,WA,6/3/1997 22:30 +Coushatta,ORANGE,LIGHT,LA,6/3/1997 23:00 +Havelock,,OTHER,NC,6/4/1997 20:30 +White Plains,,OTHER,NY,6/4/1997 21:20 +New York City,,DISK,NY,6/5/1997 16:00 +Hayward,,OTHER,CA,6/5/1997 21:30 +Colorado,,DISK,CO,6/6/1997 18:00 +Bothell,ORANGE,LIGHT,WA,6/6/1997 21:45 +Jeffersonville,RED,LIGHT,IN,6/7/1997 3:00 +Weatherford,,FIREBALL,OK,6/7/1997 19:30 +Quincy,,CYLINDER,MA,6/7/1997 22:00 +St. Louis,,CYLINDER,MO,6/7/1997 22:30 +Santa Clara,,VARIOUS,CA,6/8/1997 15:00 +Renton,,DISK,WA,6/8/1997 19:16 +Monterey,GREEN BLUE,OTHER,CA,6/9/1997 1:15 +Doylestown,,TRIANGLE,PA,6/9/1997 1:30 +Kalamazoo,,FORMATION,MI,6/9/1997 12:00 +Holly,,TRIANGLE,MI,6/9/1997 22:30 +New York,,OTHER,NY,6/10/1997 12:00 +Newport,,DISK,ME,6/10/1997 12:00 +Knoxville,,TRIANGLE,TN,6/10/1997 16:00 +Rochester,GREEN,TRIANGLE,NY,6/10/1997 21:00 +Hart Mountain Elk Preserve,YELLOW,LIGHT,OR,6/10/1997 21:30 +Louisville,,OTHER,KY,6/10/1997 22:00 +Golden,,LIGHT,CO,6/10/1997 22:30 +Zion Grove,,LIGHT,PA,6/10/1997 23:00 +Reno,,CYLINDER,NV,6/11/1997 11:00 +San Angelo,,OTHER,TX,6/11/1997 21:20 +Hieleah,,DISK,FL,6/12/1997 13:00 +Newark,,LIGHT,NJ,6/12/1997 21:45 +Beverly Hills,,TRIANGLE,CA,6/13/1997 16:00 +no data,,OVAL,TX,6/13/1997 21:00 +Franconia,,FIREBALL,PA,6/13/1997 22:20 +Orlando,ORANGE,CIRCLE,FL,6/13/1997 23:00 +Meridian,,TRIANGLE,ID,6/14/1997 0:00 +Vancouver,,LIGHT,WA,6/14/1997 2:45 +Newberg,,OTHER,OR,6/14/1997 3:30 +Ludlow,RED,,CA,6/14/1997 20:00 +Austin,,TRIANGLE,TX,6/14/1997 23:20 +Altamonte Springs,,LIGHT,FL,6/15/1997 0:00 +Grove City,,TRIANGLE,PA,6/15/1997 0:00 +Lawton,,FIREBALL,MI,6/15/1997 0:30 +Orlando,,DISK,FL,6/15/1997 1:00 +Peoria,,DISK,IL,6/15/1997 1:00 +Middletown,,,NY,6/15/1997 2:30 +Las Cruces,RED,FIREBALL,NM,6/15/1997 3:00 +"Oak Brook Terrace, Dorathy Drennon Park in",,DISK,IL,6/15/1997 9:00 +Colorado Springs,,DISK,CA,6/15/1997 13:00 +Gaffney,,CYLINDER,SC,6/15/1997 13:30 +Edmond,,DISK,OK,6/15/1997 14:00 +Jackson,,SPHERE,MI,6/15/1997 15:00 +Ripley,,,TN,6/15/1997 15:00 +Wapakoneta,,EGG,OH,6/15/1997 15:00 +Eden Prairie,,CIRCLE,MN,6/15/1997 16:00 +McGregor,,SPHERE,TX,6/15/1997 16:00 +Marlboro,,CIRCLE,MD,6/15/1997 16:40 +Salt Lake City,,OTHER,UT,6/15/1997 17:30 +Akron,,DISK,OH,6/15/1997 18:00 +Columbus,,TRIANGLE,OH,6/15/1997 18:00 +Swanville,,LIGHT,ME,6/15/1997 20:27 +Blaine,,,MN,6/15/1997 21:00 +Medford,,SPHERE,NY,6/15/1997 21:00 +Seattle,,TRIANGLE,WA,6/15/1997 21:00 +Westport,GREEN,OTHER,CT,6/15/1997 21:30 +Eagle Butte,,LIGHT,SD,6/15/1997 22:00 +Fort Myers,,SPHERE,FL,6/15/1997 22:00 +Lawton,,SPHERE,MI,6/15/1997 22:00 +Olive Hill,,LIGHT,KY,6/15/1997 22:00 +Ponte Vedra,YELLOW,FIREBALL,FL,6/15/1997 22:00 +Irvine,,VARIOUS,CA,6/15/1997 22:15 +,,TRIANGLE,IL,6/15/1997 23:00 +Mena,,OTHER,AR,6/15/1997 23:00 +Silver City,,,NM,6/15/1997 23:00 +Sun City,,FIREBALL,CA,6/15/1997 23:00 +Virginia,,DISK,VA,6/15/1997 23:50 +Murphy,,OTHER,OR,6/16/1997 22:46 +Petaluma,,LIGHT,CA,6/17/1997 1:30 +Roswell,,CIRCLE,NM,6/17/1997 4:55 +Beaumont,,LIGHT,MO,6/17/1997 10:30 +Pico Rivera,,CHEVRON,CA,6/17/1997 12:00 +Prescott,GREEN,FIREBALL,AZ,6/17/1997 21:30 +Portland,RED,LIGHT,OR,6/17/1997 23:15 +Carsonville,,DISK,MI,6/18/1997 20:00 +New Albany,,CIGAR,IN,6/18/1997 22:00 +Gladewater,,OTHER,TX,6/19/1997 2:00 +Englewood Cliffs,YELLOW,LIGHT,NJ,6/19/1997 20:15 +Cottonwood,,DISK,AZ,6/19/1997 20:30 +Sunnyside,RED,LIGHT,WA,6/20/1997 0:35 +Ocala,ORANGE,LIGHT,FL,6/20/1997 1:00 +Black Horse pike,,DISK,NJ,6/20/1997 1:45 +Seattle,,OTHER,WA,6/20/1997 4:30 +Carefree,YELLOW GREEN,CIRCLE,AZ,6/20/1997 20:34 +Holland Patent,BLUE,CIRCLE,NY,6/20/1997 21:00 +Little Marsh,,TRIANGLE,PA,6/20/1997 21:00 +Alamosa,RED,LIGHT,CO,6/20/1997 21:45 +Collierville,,OVAL,TN,6/20/1997 23:00 +Libertyville,,DISK,IL,6/21/1997 0:00 +Phoenix,,CYLINDER,AZ,6/21/1997 9:45 +Ticonderoga,BLUE,TRIANGLE,NY,6/21/1997 11:28 +Edgemere,,OTHER,MI,6/21/1997 17:00 +Fort Collins,,DISK,CO,6/21/1997 23:30 +Orlando,YELLOW,,FL,6/22/1997 1:00 +Greensboro,,LIGHT,NC,6/22/1997 6:00 +Huffman,,OTHER,TX,6/22/1997 6:30 +Willow Creek Campground,,OTHER,CA,6/23/1997 1:00 +Howell,,SPHERE,NJ,6/23/1997 2:00 +Eunice,,LIGHT,LA,6/23/1997 9:30 +Cuba,,LIGHT,MO,6/23/1997 21:00 +San Francisco,GREEN,OVAL,CA,6/24/1997 1:57 +Fresno,,LIGHT,CA,6/24/1997 21:00 +Phoenix,,CHEVRON,AZ,6/25/1997 9:11 +Wendover,,DISK,UT,6/26/1997 23:05 +Helena,,,MT,6/27/1997 0:00 +Gresham,,TRIANGLE,OR,6/27/1997 0:50 +Lansing,,LIGHT,MI,6/27/1997 2:40 +North Babylon,,TRIANGLE,NY,6/27/1997 20:00 +Fountain Hills,,OTHER,AZ,6/27/1997 20:30 +Harvey's Lake,,OTHER,PA,6/28/1997 8:00 +Wilcox,,CYLINDER,AZ,6/28/1997 12:00 +Springfield,,DISK,OH,6/28/1997 18:00 +Cave Creek,RED YELLOW,TRIANGLE,AZ,6/29/1997 22:09 +Farmington,,,NM,6/29/1997 23:45 +Bigfork,,TRIANGLE,MT,6/30/1997 1:00 +Venice,,CIGAR,FL,6/30/1997 5:45 +Camarillo,,CIRCLE,CA,6/30/1997 6:00 +Anchorage,,CYLINDER,AK,6/30/1997 12:00 +Salisbury,,LIGHT,NC,6/30/1997 12:00 +Casa Grande,,TRIANGLE,AZ,6/30/1997 21:00 +Fort Smith,,LIGHT,AR,6/30/1997 21:00 +Tijeras,,CIGAR,NM,6/30/1997 23:00 +Freehold,ORANGE,LIGHT,NJ,7/1/1997 0:00 +Fort Benning,,,GA,7/1/1997 0:01 +Kilgore,,CIRCLE,TX,7/1/1997 1:30 +Kilgore,,CIRCLE,TX,7/1/1997 1:30 +Albion,,CIGAR,PA,7/1/1997 13:00 +Omaha,,DISK,NE,7/1/1997 15:20 +Hamilton,,OTHER,NJ,7/1/1997 18:00 +New York City,,SPHERE,NY,7/1/1997 18:00 +Kingston,,DISK,NY,7/1/1997 21:00 +Willow Creek,,SPHERE,CA,7/1/1997 23:00 +Davenport,,CIRCLE,CA,7/2/1997 21:00 +Petaluma,,VARIOUS,CA,7/2/1997 21:00 +Rachel,,SPHERE,NV,7/2/1997 21:15 +Calistoga,YELLOW,TRIANGLE,CA,7/2/1997 21:30 +South Hadley,RED,SPHERE,MA,7/2/1997 23:00 +Boonville,,LIGHT,MO,7/2/1997 23:30 +Pullman,,RECTANGLE,WA,7/3/1997 0:00 +Brentwood,,CYLINDER,TN,7/3/1997 3:00 +Vanleer,ORANGE YELLOW,FORMATION,TN,7/3/1997 21:30 +Fennville,,SPHERE,MI,7/3/1997 22:00 +Lexington,,TRIANGLE,KY,7/3/1997 22:30 +Harbor Springs,,OVAL,MI,7/3/1997 23:00 +Lake Tawakine,,OTHER,TX,7/4/1997 3:30 +Long Beach,,EGG,CA,7/4/1997 13:00 +San Diego,,CIGAR,CA,7/4/1997 16:00 +St. Paul,,SPHERE,MN,7/4/1997 16:00 +Evansville,,CIRCLE,IL,7/4/1997 19:00 +Earth City,,CIGAR,MO,7/4/1997 20:00 +Knob Lick,BLUE,LIGHT,MO,7/4/1997 20:00 +Troy,,CIRCLE,IL,7/4/1997 20:00 +St. Charles,GREEN,LIGHT,MO,7/4/1997 20:30 +Bellevelle area college,BLUE,LIGHT,IL,7/4/1997 21:00 +Belleville,BLUE,LIGHT,IL,7/4/1997 21:00 +Hazel Park,,DISK,MI,7/4/1997 21:00 +Millstadt,BLUE,LIGHT,IL,7/4/1997 21:00 +Phoenix,,CYLINDER,AZ,7/4/1997 21:00 +Troy,BLUE,LIGHT,IL,7/4/1997 21:00 +Lonedell,BLUE,DELTA,MO,7/4/1997 21:10 +Coldwater,,LIGHT,MO,7/4/1997 21:15 +Dadeville,,,MO,7/4/1997 21:15 +Des Peres,BLUE,LIGHT,MO,7/4/1997 21:15 +Elmwood,,LIGHT,IL,7/4/1997 21:15 +Granite City,,LIGHT,IL,7/4/1997 21:15 +"Mark Twain Lake, Monroe City",BLUE,LIGHT,MO,7/4/1997 21:15 +Oakville,GREEN,LIGHT,MO,7/4/1997 21:15 +Plymouth,,LIGHT,WI,7/4/1997 21:15 +Scottsdale,RED,,AZ,7/4/1997 21:15 +St. Charles,BLUE,LIGHT,MO,7/4/1997 21:15 +St. Charles,BLUE,SPHERE,MO,7/4/1997 21:15 +St. Louis,BLUE,LIGHT,MO,7/4/1997 21:15 +Chesterfield,,LIGHT,MO,7/4/1997 21:18 +Arnold,,LIGHT,MO,7/4/1997 21:20 +Olney,BLUE,LIGHT,IL,7/4/1997 21:25 +Auburn,,TRIANGLE,WA,7/4/1997 21:30 +Belleville,BLUE,LIGHT,IL,7/4/1997 21:30 +Crestwood,,LIGHT,MO,7/4/1997 21:30 +Creve Coeur,BLUE,LIGHT,MO,7/4/1997 21:30 +Florissant,,LIGHT,MO,7/4/1997 21:30 +Florissant,BLUE,LIGHT,MO,7/4/1997 21:30 +Gerald,BLUE,LIGHT,MO,7/4/1997 21:30 +Hazel Park,,OVAL,MI,7/4/1997 21:30 +Hazelwood,,OVAL,MO,7/4/1997 21:30 +Historic St. Charles Riverfront,,OVAL,MO,7/4/1997 21:30 +St. Charles,BLUE,LIGHT,MO,7/4/1997 21:30 +St. Louis,,LIGHT,MO,7/4/1997 21:30 +St. Louis,BLUE,LIGHT,MO,7/4/1997 21:30 +Troy,,LIGHT,MO,7/4/1997 21:30 +Fairview Heights,BLUE,LIGHT,IL,7/4/1997 21:35 +Millstadt,RED,LIGHT,IL,7/4/1997 21:35 +Collinsville,BLUE,LIGHT,IL,7/4/1997 21:40 +St. Peters,BLUE,LIGHT,MO,7/4/1997 21:40 +Belleville Community College,BLUE,LIGHT,IL,7/4/1997 21:45 +Brighton,BLUE,LIGHT,IL,7/4/1997 21:45 +Desoadoamd House Springs,GREEN BLUE,LIGHT,MO,7/4/1997 21:45 +East Alton,BLUE,LIGHT,IL,7/4/1997 21:45 +Lenzburg,,LIGHT,IL,7/4/1997 21:45 +Millstadt,BLUE,LIGHT,IL,7/4/1997 21:45 +Alton,,LIGHT,IL,7/4/1997 22:00 +Dupo,BLUE,LIGHT,IL,7/4/1997 22:00 +Granite City,BLUE,LIGHT,IL,7/4/1997 22:00 +Old Valmeyer Bottoms-Valmeyer,,TEARDROP,IL,7/4/1997 22:00 +Redding,RED,,CA,7/4/1997 22:00 +Redding,RED,LIGHT,CA,7/4/1997 22:00 +Rockport,,,IN,7/4/1997 22:00 +St. Louis,,DISK,MO,7/4/1997 22:00 +McMinnville,,DISK,OR,7/4/1997 22:14 +Columbia,BLUE,LIGHT,IL,7/4/1997 22:30 +Frontenac,GREEN,LIGHT,MO,7/4/1997 22:30 +St. Louis,BLUE,LIGHT,MO,7/4/1997 22:30 +Freeburg,,LIGHT,IL,7/4/1997 22:45 +St. Louis,BLUE,LIGHT,MO,7/4/1997 23:00 +Crete,,LIGHT,NE,7/5/1997 0:00 +Florence,,TRIANGLE,OR,7/5/1997 1:30 +N. Waterboro,,SPHERE,ME,7/5/1997 19:30 +Caseyville,,SPHERE,IL,7/5/1997 21:00 +Phoenix,,LIGHT,AZ,7/6/1997 1:30 +Arizona,,TRIANGLE,AZ,7/7/1997 0:00 +Casey,,CIGAR,IL,7/7/1997 12:00 +Stafford,,RECTANGLE,VA,7/7/1997 14:30 +Surgoinsville,,,TN,7/7/1997 16:53 +Las Cruces,,VARIOUS,NM,7/7/1997 20:45 +White Sands Missile Range,,CIRCLE,NM,7/7/1997 20:45 +Coopersville,,,MI,7/7/1997 23:00 +Olathe,,LIGHT,KS,7/9/1997 0:05 +Puyallup,GREEN,,WA,7/10/1997 1:30 +Onalaska,,SPHERE,WI,7/10/1997 13:00 +Onalaska,,SPHERE,WI,7/10/1997 13:00 +Hayward,,DISK,WI,7/10/1997 15:45 +Greenville,,OTHER,TX,7/10/1997 19:05 +Lafayette,,FIREBALL,IN,7/10/1997 21:00 +Allison Park,,CYLINDER,PA,7/11/1997 15:25 +El Paso,,CIGAR,TX,7/11/1997 18:00 +Gorham,,CIGAR,ME,7/11/1997 20:00 +Phoenix,RED ORANGE,TRIANGLE,AZ,7/11/1997 23:45 +Gaston,RED,LIGHT,SC,7/12/1997 1:30 +Reno,,TRIANGLE,NV,7/12/1997 2:45 +Trenton,,DISK,OH,7/12/1997 13:00 +Hayward,,FIREBALL,CA,7/14/1997 0:00 +Medford,,,OR,7/14/1997 0:00 +Salem,,LIGHT,OR,7/14/1997 1:30 +Philadelphia,,OVAL,PA,7/14/1997 5:20 +Gulf Shores,,CIRCLE,AL,7/14/1997 14:30 +Salt Lake City,,OTHER,UT,7/14/1997 15:00 +Hazelwood,,SPHERE,MO,7/14/1997 16:00 +Pascagula,,EGG,MS,7/14/1997 23:15 +Golden,,OVAL,CO,7/15/1997 0:00 +Six Flags,,DISK,NJ,7/15/1997 0:00 +Hinckley,,SPHERE,MN,7/15/1997 1:00 +Reedsville,,TRIANGLE,WV,7/15/1997 1:00 +Winfield,,LIGHT,KS,7/15/1997 1:20 +St. Cloud,ORANGE,SPHERE,MN,7/15/1997 3:00 +Allegany,,SPHERE,NY,7/15/1997 11:00 +Cottonwood,,DISK,AZ,7/15/1997 14:00 +Fairfield,,SPHERE,IA,7/15/1997 17:00 +Palatine,,OTHER,IL,7/15/1997 18:00 +Bensrun,,LIGHT,WV,7/15/1997 19:00 +Eden Prairie,,OTHER,MN,7/15/1997 19:00 +Caballo,,TRIANGLE,NM,7/15/1997 20:30 +Deer Field,RED,CIRCLE,NY,7/15/1997 21:00 +Goldsboro,,SPHERE,NC,7/15/1997 21:00 +New Jersey,,FIREBALL,NJ,7/15/1997 21:00 +Tucson,,TRIANGLE,AZ,7/15/1997 21:00 +Kernersville,,TRIANGLE,NC,7/15/1997 21:30 +Fayetteville,,TRIANGLE,NC,7/15/1997 22:00 +Kings Mtn.,,LIGHT,NC,7/15/1997 22:30 +Las Cruces,,FIREBALL,NM,7/15/1997 22:30 +Jefferson Estates,,LIGHT,PA,7/15/1997 22:45 +Asheville,,SPHERE,NC,7/15/1997 23:00 +Goldsboro,,FORMATION,NC,7/15/1997 23:00 +Lake Fork,,LIGHT,TX,7/15/1997 23:00 +Kokomo,,TRIANGLE,IN,7/15/1997 23:30 +Flagstaff,,LIGHT,AZ,7/16/1997 0:00 +Edmonds,,TRIANGLE,WA,7/16/1997 17:20 +Mojave,,LIGHT,CA,7/16/1997 20:00 +Parkland,,LIGHT,FL,7/16/1997 21:30 +Belfield,,LIGHT,ND,7/17/1997 23:00 +Hartford,RED,TRIANGLE,CT,7/17/1997 23:40 +Salem,RED BLUE,,NH,7/18/1997 2:00 +Shepherdstown,,LIGHT,WV,7/18/1997 23:00 +Newark to San Leandro,,OTHER,CA,7/19/1997 17:30 +Trout Lake,,,WA,7/19/1997 23:00 +Russellville,,LIGHT,AR,7/20/1997 3:00 +Hopewell,,DISK,VA,7/20/1997 4:00 +Bridgehampton,,TRIANGLE,NY,7/20/1997 20:00 +Buffalo,,VARIOUS,NY,7/20/1997 22:00 +Conway,,DIAMOND,SC,7/20/1997 22:00 +Beaver Island,,TRIANGLE,MI,7/20/1997 23:30 +Tequesta,,FIREBALL,FL,7/22/1997 11:45 +Desert,,,AR,7/22/1997 12:00 +Arabela,,TRIANGLE,NM,7/22/1997 13:00 +Port Orford,,CIGAR,OR,7/22/1997 14:00 +Susquehanna,RED,CIRCLE,PA,7/22/1997 22:00 +Hart Mountain,,TRIANGLE,OR,7/22/1997 22:15 +Los Angeles,,OTHER,CA,7/23/1997 13:30 +Warrenton,,TRIANGLE,VA,7/23/1997 20:00 +Phoenix,,TRIANGLE,AZ,7/23/1997 20:25 +Tooele,ORANGE,LIGHT,UT,7/23/1997 21:30 +Miami,,FORMATION,FL,7/23/1997 23:00 +Miami,,FORMATION,FL,7/23/1997 23:00 +Murphysboro,,CYLINDER,IL,7/24/1997 21:45 +Colfax,,FIREBALL,CA,7/25/1997 3:00 +Phoenix,,,AZ,7/25/1997 17:00 +Arlington,,VARIOUS,WA,7/26/1997 3:21 +Warrensburg,,TRIANGLE,MO,7/26/1997 18:00 +Chicago,,,IL,7/27/1997 0:00 +Medford,,TRIANGLE,NJ,7/27/1997 2:00 +Arlington,,LIGHT,WA,7/27/1997 2:53 +Las Cruces,,LIGHT,NM,7/27/1997 21:30 +Pete's Hole,,TRIANGLE,UT,7/28/1997 15:00 +Bristol,,CIGAR,VA,7/28/1997 21:30 +Wayzata,,FIREBALL,MN,7/28/1997 23:30 +South Euclid,,CIRCLE,OH,7/29/1997 21:20 +Lake Winnibigoshish,ORANGE,OTHER,MN,7/30/1997 0:30 +Corpus Christi,,OVAL,TX,7/30/1997 1:00 +Fridley,,FIREBALL,MN,7/30/1997 1:30 +Navarre,,CIRCLE,FL,7/30/1997 20:00 +Gulf Breeze,ORANGE,FORMATION,FL,7/30/1997 20:10 +Salem,,,OR,7/31/1997 2:40 +Salem,,,OR,7/31/1997 2:45 +Denver,,CIRCLE,CO,8/1/1997 13:00 +Palm Harbor,RED,DISK,FL,8/1/1997 22:00 +Hurricane,GREEN,LIGHT,UT,8/1/1997 22:30 +Chattanooga,,LIGHT,TN,8/1/1997 23:00 +Middletown,,DISK,CT,8/2/1997 4:00 +Sikeston,GREEN,LIGHT,MO,8/2/1997 10:10 +Albany,,OVAL,OR,8/2/1997 11:45 +Caldwell,,DISK,ID,8/2/1997 18:45 +Hwy. 15,ORANGE,FIREBALL,MS,8/2/1997 22:00 +Rocklin,,OTHER,CA,8/2/1997 22:50 +Overton,RED GREEN,SPHERE,NV,8/3/1997 2:00 +St. Louis,,CYLINDER,MO,8/3/1997 19:15 +Palm Springs,,LIGHT,CA,8/3/1997 21:15 +Bakersville,,LIGHT,NC,8/3/1997 22:03 +Sand Springs,RED BLUE,OTHER,MT,8/3/1997 23:30 +Santa Cruz,,DIAMOND,CA,8/5/1997 3:30 +Wichita,,LIGHT,KS,8/6/1997 5:55 +Aguila,,TRIANGLE,AZ,8/6/1997 22:00 +New York City,,OTHER,NY,8/7/1997 17:07 +Buckeye,BLUE,LIGHT,AZ,8/8/1997 2:35 +Dracut,,TRIANGLE,MA,8/8/1997 15:00 +East Rochester,,SPHERE,NY,8/8/1997 18:00 +Lynnwood,,OTHER,WA,8/8/1997 21:06 +West Islip,,OTHER,NY,8/8/1997 22:00 +Kenai,,CIGAR,AK,8/8/1997 23:00 +Bloomington,BLUE,TRIANGLE,MN,8/9/1997 0:30 +Bel Air,,OTHER,MD,8/9/1997 11:24 +Sedro Woolley,RED,OTHER,WA,8/10/1997 22:00 +Bellingham,YELLOW,LIGHT,WA,8/10/1997 23:30 +North Lynnwood,,LIGHT,WA,8/12/1997 0:30 +Grand Rapids,RED GREEN,LIGHT,MI,8/12/1997 1:00 +Fridley,ORANGE,SPHERE,MN,8/12/1997 17:08 +Canyon,YELLOW,LIGHT,CA,8/12/1997 21:15 +Papillion,,LIGHT,NE,8/12/1997 21:57 +Boundary Waters,BLUE,OVAL,MN,8/12/1997 23:00 +Fultz,,RECTANGLE,IL,8/12/1997 23:30 +Norco,BLUE,DISK,CA,8/14/1997 13:00 +Acton,ORANGE,OVAL,CA,8/15/1997 0:00 +Millerstown,,TRIANGLE,KY,8/15/1997 0:00 +Golden Valley,BLUE,LIGHT,AZ,8/15/1997 0:35 +Bigfork,ORANGE,SPHERE,MT,8/15/1997 1:00 +Shelbina,,,MO,8/15/1997 2:00 +Parkersburg,,TRIANGLE,WV,8/15/1997 4:00 +Lenexa,,DISK,KS,8/15/1997 5:40 +Denmark,,DISK,ME,8/15/1997 15:00 +Roy,,CHEVRON,WA,8/15/1997 20:00 +Buffalo,,SPHERE,NY,8/15/1997 20:15 +Idaho Falls,,OTHER,ID,8/15/1997 22:00 +Kingsman,,LIGHT,AZ,8/15/1997 22:00 +Robertson County,,OTHER,TX,8/15/1997 22:00 +Clearfield,,TRIANGLE,UT,8/15/1997 22:30 +Lahaina,,TRIANGLE,HI,8/15/1997 22:30 +West Sunbury,,LIGHT,PA,8/15/1997 23:30 +Rutherfordton,,CIGAR,NC,8/16/1997 12:00 +Loring AFB,,CIGAR,ME,8/16/1997 17:00 +Sciota,,DISK,PA,8/17/1997 0:30 +Salinas,,LIGHT,CA,8/17/1997 5:00 +Philadelphia,,SPHERE,PA,8/17/1997 9:30 +Kalamazoo,,DISK,MI,8/17/1997 18:00 +Sioux City,,TRIANGLE,IA,8/17/1997 22:30 +Kaiser,,LIGHT,MO,8/17/1997 23:10 +Woodridge,,LIGHT,IL,8/17/1997 23:50 +Manhattan Beach,,TEARDROP,CA,8/18/1997 19:00 +Oberlin,,TRIANGLE,OH,8/19/1997 23:30 +Grand Rapids,,DIAMOND,MI,8/20/1997 18:00 +Tucson,,LIGHT,AZ,8/20/1997 19:30 +Pinckney,,LIGHT,MI,8/20/1997 23:00 +Winslow,,OTHER,IN,8/21/1997 23:30 +Eustace,RED,LIGHT,TX,8/22/1997 0:00 +Kingsville,,CIGAR,TX,8/22/1997 6:22 +Kings Park,GREEN,OTHER,NY,8/22/1997 10:50 +Atlantic City,RED,LIGHT,WY,8/22/1997 23:30 +Cantoma,,TRIANGLE,FL,8/23/1997 1:00 +Dale Ville,,TRIANGLE,IN,8/23/1997 11:30 +Billings,,CIGAR,MT,8/23/1997 20:00 +Sherman Oaks,,FORMATION,CA,8/23/1997 22:00 +Palm Springs,,CIGAR,CA,8/24/1997 18:00 +Elk River,GREEN,TRIANGLE,MN,8/24/1997 21:00 +Biscoe,,VARIOUS,NC,8/24/1997 21:45 +Jay Co. into Wells Co.,,DISK,IN,8/25/1997 1:00 +Ft. Dix,,OTHER,NJ,8/25/1997 13:30 +Fontana,,TRIANGLE,CA,8/25/1997 22:00 +Hot Springs,,CIRCLE,AR,8/28/1997 0:10 +Page,,LIGHT,AZ,8/28/1997 20:00 +Coeur d'Alene,,TRIANGLE,ID,8/28/1997 22:00 +Lyons,,DISK,CO,8/29/1997 18:30 +Livermore Falls,ORANGE,FIREBALL,ME,8/29/1997 21:30 +Tucson,,CHEVRON,AZ,8/29/1997 22:00 +Woodlands,,LIGHT,TX,8/30/1997 0:00 +San Jose,,FORMATION,CA,8/30/1997 18:00 +Ocracoke,,OTHER,NC,8/30/1997 21:00 +Aston,,DIAMOND,PA,8/30/1997 22:00 +Lost Lake,BLUE,EGG,OR,8/31/1997 5:15 +Lincoln,,FORMATION,NH,8/31/1997 17:00 +Newberg,YELLOW BLUE,LIGHT,OR,8/31/1997 21:00 +Chicago Ridge,,LIGHT,IL,8/31/1997 22:00 +Brighton,,RECTANGLE,MI,8/31/1997 22:30 +Brighton,,RECTANGLE,MI,8/31/1997 22:30 +West Dennis,,OVAL,MA,8/31/1997 23:00 +Woodmont,,DISK,CT,9/1/1997 18:00 +Pleasant View,,FIREBALL,TN,9/1/1997 20:00 +Carlsbad,,LIGHT,CA,9/1/1997 22:30 +Albany,,LIGHT,ME,9/1/1997 23:00 +Algonac,,,MI,9/2/1997 21:45 +Portland,,FORMATION,OR,9/2/1997 21:45 +Covington,RED BLUE,TRIANGLE,WA,9/6/1997 4:47 +Gulf of Mexico,,CIGAR,LA,9/7/1997 12:00 +Las Vegas,,FORMATION,NV,9/9/1997 16:00 +Roseburg,,LIGHT,OR,9/9/1997 21:30 +Alta Loma,,CIRCLE,CA,9/10/1997 19:00 +Houston,,DISK,TX,9/15/1997 0:00 +Sherman Oaks,,CIGAR,CA,9/15/1997 9:00 +Colorado Springs,,RECTANGLE,CO,9/15/1997 15:00 +Comfort,,CYLINDER,TX,9/15/1997 17:00 +Farrell,,DISK,PA,9/15/1997 18:00 +Wedgefield,,TRIANGLE,SC,9/15/1997 19:00 +Angola,,CIRCLE,IN,9/15/1997 20:00 +Bellevue,,,WA,9/15/1997 20:00 +Salem,GREEN,LIGHT,OR,9/15/1997 20:00 +Sammamish,,,WA,9/15/1997 20:40 +Chicago,GREEN,LIGHT,IL,9/15/1997 21:00 +Foley,,,MN,9/15/1997 22:00 +West Milton,,LIGHT,OH,9/15/1997 22:00 +Woodstock,,SPHERE,CT,9/15/1997 22:30 +Woodmont,,DISK,CT,9/16/1997 4:00 +Minneapolis,,OTHER,MN,9/16/1997 19:00 +Delilah Lookout,,DISK,CA,9/17/1997 18:00 +West Manchester,,VARIOUS,OH,9/18/1997 4:15 +Panama city,,,FL,9/18/1997 20:15 +Orland Park,,RECTANGLE,IL,9/19/1997 5:40 +Seattle,,OTHER,WA,9/19/1997 21:00 +Crescent City,,DISK,CA,9/19/1997 22:00 +Poway,,TRIANGLE,CA,9/20/1997 22:15 +Manoa Valley,,DISK,HI,9/21/1997 14:00 +St. Louis,,OTHER,MO,9/22/1997 3:00 +Palo,,CIGAR,MI,9/22/1997 14:00 +Solomons Island,,DISK,MD,9/22/1997 20:00 +Denison,,DISK,IA,9/23/1997 19:00 +Hyde Park,GREEN,FIREBALL,VT,9/23/1997 20:00 +Rhinebeck,,TRIANGLE,NY,9/23/1997 20:00 +Brewster,,TRIANGLE,NY,9/23/1997 22:30 +Muskegon,,DISK,MI,9/24/1997 14:30 +Huffman,,TEARDROP,TX,9/24/1997 20:47 +Clearfield,,TRIANGLE,UT,9/25/1997 22:00 +Crestwood,RED GREEN,DISK,KY,9/27/1997 5:00 +Egan,,OTHER,SD,9/27/1997 23:00 +San Francisco,,TRIANGLE,CA,9/28/1997 23:15 +Madison,,LIGHT,WI,9/30/1997 22:00 +Bemidji,,TRIANGLE,MN,10/1/1997 0:00 +Fort Jennings,RED ORANGE,OTHER,OH,10/1/1997 1:10 +Garland,,RECTANGLE,TX,10/1/1997 1:20 +Jefferson,,OTHER,NY,10/1/1997 3:00 +Oregon,,RECTANGLE,OR,10/1/1997 8:00 +Charlotte,BLUE,CIGAR,NC,10/1/1997 9:00 +Green Bay,RED,LIGHT,WI,10/1/1997 19:00 +Pelzer,,TRIANGLE,SC,10/1/1997 19:00 +Hyannis,,TRIANGLE,MA,10/1/1997 21:00 +Bourbonnais,,TRIANGLE,IL,10/1/1997 21:30 +Oakland,,LIGHT,OR,10/1/1997 21:30 +Martinsville,,OTHER,VA,10/1/1997 21:55 +Summerville,,TRIANGLE,SC,10/1/1997 22:00 +Lakeland,RED,LIGHT,FL,10/1/1997 23:15 +Ringgold,,CIRCLE,GA,10/2/1997 2:00 +Los Angeles,,SPHERE,CA,10/2/1997 14:00 +Pleasanton,,,TX,10/3/1997 2:00 +Jim Thorpe,,OVAL,PA,10/3/1997 21:00 +Waco,,LIGHT,TX,10/3/1997 21:30 +Scottsdale,,LIGHT,AZ,10/4/1997 1:57 +Taylorsville,,LIGHT,KY,10/4/1997 13:00 +Warrenton,,LIGHT,VA,10/4/1997 18:00 +Cheyenne,,OTHER,WY,10/5/1997 19:00 +Utica,RED,LIGHT,NY,10/5/1997 20:30 +MM82,,CIRCLE,PA,10/7/1997 3:26 +Twin Mountain,GREEN BLUE,LIGHT,NH,10/7/1997 20:30 +Camarillo,,CIRCLE,CA,10/9/1997 11:40 +Detroit,,TRIANGLE,MI,10/9/1997 19:00 +Connersville,,DELTA,IN,10/10/1997 16:00 +Mesa,,SPHERE,AZ,10/10/1997 17:00 +Bonaire,,TRIANGLE,GA,10/10/1997 20:00 +Austin,,OTHER,MN,10/10/1997 21:00 +Huntington Beach,,SPHERE,CA,10/12/1997 18:30 +White Tank Mountains,,LIGHT,AZ,10/12/1997 19:00 +Kenner,,DISK,LA,10/12/1997 21:51 +Chicago,RED,LIGHT,IL,10/12/1997 22:30 +Franklin,GREEN,OTHER,NH,10/12/1997 23:00 +Sandy,,LIGHT,UT,10/13/1997 0:00 +Buffalo,,OTHER,NY,10/13/1997 3:00 +Ogden,,CIRCLE,UT,10/13/1997 5:00 +Reno,,OTHER,NV,10/13/1997 20:15 +Hollister,,LIGHT,CA,10/13/1997 22:15 +Syracuse,,,NY,10/14/1997 16:00 +San Diego,,LIGHT,CA,10/14/1997 23:55 +Naalehu,,SPHERE,HI,10/15/1997 0:00 +Paris,,LIGHT,TN,10/15/1997 1:00 +Duncan,,,OK,10/15/1997 2:15 +Atlanta,BLUE,LIGHT,GA,10/15/1997 3:00 +Brigham City,,OTHER,UT,10/15/1997 3:00 +Lagrange,,FIREBALL,NC,10/15/1997 3:00 +Pasadena,,OVAL,CA,10/15/1997 7:00 +Dallas,,LIGHT,TX,10/15/1997 10:00 +New York City,,CYLINDER,NY,10/15/1997 15:00 +New Britain,RED,RECTANGLE,CT,10/15/1997 17:00 +Daggett,,RECTANGLE,CA,10/15/1997 17:30 +Abingdon,,LIGHT,VA,10/15/1997 18:40 +Boulder,,TRIANGLE,CO,10/15/1997 19:00 +Shark River Hills,,TRIANGLE,NJ,10/15/1997 19:00 +Austin,,LIGHT,NV,10/15/1997 19:35 +Bladen,,SPHERE,NE,10/15/1997 20:00 +Rosburg,,TRIANGLE,WA,10/15/1997 20:00 +Westfeild,,LIGHT,WI,10/15/1997 20:00 +Harrodsburg,,,KY,10/15/1997 20:15 +Stephenville,,CIRCLE,TX,10/15/1997 20:45 +Waldorf,,LIGHT,MD,10/15/1997 21:30 +Alvarado,,CHEVRON,TX,10/15/1997 22:00 +Freeport,,FLASH,IL,10/15/1997 22:00 +St. Louis,,,MO,10/15/1997 22:00 +Deer Grove,,TRIANGLE,IL,10/15/1997 23:30 +Jacksonville,,SPHERE,FL,10/16/1997 1:30 +Hickory,RED,FIREBALL,NC,10/16/1997 5:34 +Rooseville,,LIGHT,MI,10/16/1997 8:00 +Hollister,,LIGHT,CA,10/16/1997 19:05 +Ignacio,,TRIANGLE,CO,10/17/1997 20:00 +Evansville,,,IN,10/18/1997 15:00 +Attleboro,,LIGHT,MA,10/19/1997 2:00 +Crofton,,OTHER,MD,10/19/1997 2:00 +Abilene,,,TX,10/19/1997 20:45 +Rome,,LIGHT,GA,10/20/1997 0:00 +Gig Harbor,,LIGHT,WA,10/20/1997 8:45 +"South of Kalamath Falls,",,FORMATION,OR,10/20/1997 19:30 +Round Rock,,DIAMOND,TX,10/20/1997 20:00 +Norristown,,CIRCLE,PA,10/21/1997 18:45 +Bluff,RED GREEN,LIGHT,UT,10/21/1997 22:00 +Milford,,DISK,CA,10/22/1997 15:00 +Billings,,CYLINDER,MT,10/23/1997 16:30 +Orlando,,OTHER,FL,10/23/1997 21:00 +Weehawken,,OTHER,NJ,10/23/1997 22:30 +Norfolk,,CIRCLE,VA,10/24/1997 0:00 +Blountville,,CIRCLE,TN,10/24/1997 6:30 +Houston,,TRIANGLE,TX,10/24/1997 18:00 +Fairfield,BLUE,SPHERE,CA,10/24/1997 20:42 +Santa Rosa,,CIRCLE,CA,10/24/1997 22:05 +Minneapolis,,TRIANGLE,MN,10/25/1997 21:45 +Charlotte,,TRIANGLE,NC,10/26/1997 22:00 +Sacramento,,LIGHT,CA,10/28/1997 18:05 +Willow Springs,RED,TRIANGLE,MO,10/28/1997 18:45 +Jackson Center,ORANGE,LIGHT,OH,10/28/1997 20:15 +Glen Alpine,,LIGHT,NC,10/29/1997 16:30 +Childress,,LIGHT,TX,10/29/1997 19:00 +Childress,,SPHERE,TX,10/29/1997 19:00 +Pittsburgh,,DISK,PA,10/30/1997 7:30 +Nocona,,SPHERE,TX,10/31/1997 0:00 +El Paso,,OTHER,TX,10/31/1997 10:00 +Santa Ana,ORANGE,LIGHT,CA,10/31/1997 22:18 +East Troy,,,WI,11/1/1997 1:30 +Bridgewater,,TRIANGLE,MA,11/1/1997 3:00 +Newton,,LIGHT,GA,11/1/1997 6:00 +Sartoga,,OTHER,CA,11/1/1997 18:30 +Doniphan,,FIREBALL,MO,11/1/1997 18:50 +Carson,,FORMATION,CA,11/1/1997 21:35 +Los Angeles,GREEN,LIGHT,CA,11/1/1997 22:00 +New York City,,LIGHT,NY,11/1/1997 22:00 +Houston,,LIGHT,TX,11/2/1997 0:00 +Lyons,,,CO,11/2/1997 2:20 +Green Bay,ORANGE,LIGHT,WI,11/2/1997 18:50 +Seattle,,LIGHT,WA,11/4/1997 20:45 +Kentwood,RED,OTHER,MI,11/6/1997 19:00 +Austin,,LIGHT,TX,11/7/1997 18:30 +Austin,RED,,TX,11/7/1997 18:45 +Saugus,,OTHER,CA,11/8/1997 18:20 +Louisville,,VARIOUS,KY,11/8/1997 19:30 +Newport,,FORMATION,OR,11/9/1997 6:15 +Perkinston,,CIGAR,MS,11/9/1997 21:00 +Lyons,,,CO,11/9/1997 22:41 +Boyertown,,LIGHT,PA,11/10/1997 18:50 +Orem,,TRIANGLE,UT,11/10/1997 20:00 +Hurricane,,CIRCLE,WV,11/10/1997 21:45 +Santee,GREEN,LIGHT,CA,11/10/1997 23:00 +O'Fallon,,TRIANGLE,MO,11/11/1997 1:00 +Columbus,ORANGE BLUE,CYLINDER,OH,11/11/1997 5:30 +Enumclaw,,CHEVRON,WA,11/11/1997 21:00 +Sodus,,CIGAR,NY,11/12/1997 0:03 +Divide,,LIGHT,CO,11/12/1997 16:30 +Seattle,,LIGHT,WA,11/12/1997 17:30 +Corvallis,,LIGHT,OR,11/13/1997 1:45 +Trenton,,LIGHT,NJ,11/13/1997 21:15 +Birch Bay,,OTHER,WA,11/14/1997 16:00 +Portland,,FORMATION,OR,11/14/1997 17:00 +Palo,,TRIANGLE,MI,11/14/1997 17:34 +Dallas,,FORMATION,TX,11/14/1997 18:35 +Oroville,RED,TRIANGLE,WA,11/14/1997 19:30 +Oakland,,DISK,CA,11/14/1997 19:55 +Buena Vista,,FORMATION,WA,11/14/1997 21:00 +Gig Harbor,,FORMATION,WA,11/14/1997 21:00 +Kenmore,,RECTANGLE,WA,11/14/1997 21:00 +Mt. Vernon,,CIRCLE,WA,11/14/1997 21:00 +Noblesville,,FIREBALL,IN,11/14/1997 21:00 +Olympia,,FORMATION,WA,11/14/1997 21:00 +Poulsbo,,FORMATION,WA,11/14/1997 21:00 +Seattle,,FORMATION,WA,11/14/1997 21:00 +West Seattle,,FORMATION,WA,11/14/1997 21:00 +Edmonds,,FORMATION,WA,11/14/1997 21:05 +Tonasket,,FORMATION,WA,11/14/1997 21:09 +Issaquah,,OTHER,WA,11/14/1997 21:10 +Mukilteo,,FORMATION,WA,11/14/1997 21:10 +Snohomish,,FORMATION,WA,11/14/1997 21:10 +Winthrop,ORANGE,FIREBALL,WA,11/14/1997 21:10 +Burlington,,FORMATION,WA,11/14/1997 21:11 +Renton,YELLOW,FORMATION,WA,11/14/1997 21:11 +Centralia,,SPHERE,WA,11/14/1997 21:12 +Freeland,,FORMATION,WA,11/14/1997 21:15 +McMinnville,,FORMATION,OR,11/14/1997 21:15 +Renton,,FORMATION,WA,11/14/1997 21:15 +Snoqualmie,,FORMATION,WA,11/14/1997 21:15 +Corbett,,FORMATION,OR,11/14/1997 21:30 +Olympia,,FIREBALL,WA,11/14/1997 21:30 +Olympia,,FORMATION,WA,11/14/1997 21:30 +Bellingham,,FORMATION,WA,11/14/1997 22:25 +Redondo Beach,,FIREBALL,CA,11/14/1997 23:15 +Tucson,RED,OTHER,AZ,11/15/1997 0:35 +Longview,,OTHER,WA,11/15/1997 2:30 +Reno,,TRIANGLE,NV,11/15/1997 3:50 +Lockport,,SPHERE,NY,11/15/1997 4:00 +Hubbard,RED,TRIANGLE,OH,11/15/1997 18:30 +West Palm Beach,,OTHER,FL,11/15/1997 18:45 +Tamaqua,,LIGHT,PA,11/15/1997 21:00 +Tennessee,,SPHERE,TN,11/15/1997 21:00 +Varysburg,,TRIANGLE,NY,11/15/1997 21:30 +Eureka,,TRIANGLE,CA,11/15/1997 22:00 +Chester,,CIRCLE,NJ,11/15/1997 23:00 +Chester,,CIRCLE,NJ,11/15/1997 23:00 +Pompano Beach,ORANGE,SPHERE,FL,11/15/1997 23:30 +Sioux Falls,,OTHER,SD,11/17/1997 2:00 +Clearwater Beach,,OVAL,FL,11/17/1997 3:00 +Wasilla,,TRIANGLE,AK,11/17/1997 3:00 +Bracketville,,CIGAR,TX,11/17/1997 5:30 +Greenfield,GREEN,,MA,11/17/1997 20:45 +Scott AFB,,LIGHT,IL,11/18/1997 2:00 +Oswego,,OTHER,NY,11/18/1997 14:36 +Malta,RED,RECTANGLE,MT,11/18/1997 19:30 +Springfield,,OVAL,MO,11/20/1997 1:00 +Chicago,,OTHER,IL,11/20/1997 2:00 +Frostbite Falls,,DISK,MO,11/20/1997 5:29 +Rock Hill,,TRIANGLE,NY,11/20/1997 18:00 +Cedar River,GREEN,FIREBALL,MI,11/20/1997 23:00 +Plattsmouth,,CIRCLE,NE,11/21/1997 12:00 +North Kingstown,,TRIANGLE,RI,11/21/1997 17:00 +Fremont,YELLOW,CIRCLE,MI,11/21/1997 20:00 +Flagstaff,RED,OTHER,AZ,11/22/1997 6:00 +Petoskey,GREEN,EGG,MI,11/22/1997 16:15 +Albuquerque,BLUE,OTHER,NM,11/22/1997 17:30 +Palo,,TRIANGLE,MI,11/22/1997 20:45 +Albuquerque,RED ORANGE YELLOW,FIREBALL,NM,11/23/1997 5:50 +Wichita Falls,,LIGHT,TX,11/23/1997 21:32 +Salisbury,,OVAL,MD,11/24/1997 2:00 +Salisbury,YELLOW,OVAL,MD,11/24/1997 2:00 +Palm Harbor,,TRIANGLE,FL,11/24/1997 22:55 +El Dorado,RED,OTHER,AR,11/25/1997 0:30 +Right outside the Maine state border,,CRESCENT,NH,11/25/1997 22:21 +no data,,CYLINDER,OH,11/27/1997 18:20 +Northampton,,OTHER,MA,11/27/1997 19:30 +St. Paul,ORANGE,FIREBALL,MN,11/28/1997 0:45 +Lake Geneva,,FIREBALL,WI,11/28/1997 19:30 +Orcas Island,,LIGHT,WA,11/29/1997 18:15 +Gorman,RED,LIGHT,CA,11/29/1997 20:00 +LeMars,,LIGHT,NE,11/30/1997 2:00 +Sacramento,,FLARE,CA,11/30/1997 18:00 +Warwick,,CIRCLE,RI,12/1/1997 0:00 +Naperville,,OVAL,IL,12/1/1997 3:30 +San Francisco,,OTHER,CA,12/1/1997 12:00 +Santa Cruz,,TRIANGLE,CA,12/1/1997 21:15 +San Jose,,TRIANGLE,CA,12/1/1997 21:45 +Greentown,,CIGAR,IN,12/1/1997 22:00 +Paramus,,FIREBALL,NJ,12/1/1997 23:30 +Birch Run,RED,DISK,MI,12/2/1997 20:00 +Birch Run,RED GREEN,CHEVRON,MI,12/2/1997 20:30 +Clearwater Beach,,OVAL,FL,12/5/1997 3:00 +Salton Sea,,DISK,CA,12/5/1997 18:00 +Ferndale,,,WA,12/5/1997 22:00 +Ashland,,TRIANGLE,MO,12/7/1997 3:00 +Mount Pleasant,,,SC,12/7/1997 20:16 +Wenatchee,,LIGHT,WA,12/8/1997 0:00 +East Wenatchee,RED ORANGE,LIGHT,WA,12/8/1997 19:40 +Kent,,CIRCLE,WA,12/9/1997 8:30 +Reno,RED,LIGHT,NV,12/9/1997 17:00 +Reno,RED,LIGHT,NV,12/9/1997 17:30 +Reno,RED,LIGHT,NV,12/9/1997 17:55 +Reno,RED,CIRCLE,NV,12/9/1997 18:00 +Oakland,,TRIANGLE,CA,12/10/1997 1:30 +Fort Ann,,OTHER,NY,12/10/1997 20:00 +Williamsburg,,DIAMOND,OH,12/10/1997 21:30 +Seattle,,LIGHT,WA,12/11/1997 19:15 +Kinaid,,TRIANGLE,IL,12/11/1997 21:27 +Lubbock,GREEN,OTHER,TX,12/12/1997 2:03 +Auburn,,SPHERE,IN,12/14/1997 6:45 +Aurora,,,CO,12/14/1997 20:30 +Prescott Valley,,OTHER,AZ,12/14/1997 23:30 +Thief River Falls,GREEN,DISK,MN,12/15/1997 1:00 +Naperville,,DISK,IL,12/15/1997 3:30 +Salida,,LIGHT,CA,12/15/1997 20:00 +Iola,,FIREBALL,IL,12/15/1997 22:00 +Scranton,,CIRCLE,PA,12/15/1997 22:00 +Gardiner,,DISK,ME,12/15/1997 22:30 +Marlette,,CIRCLE,MI,12/15/1997 23:35 +Tarzana,,TRIANGLE,CA,12/16/1997 2:30 +Baltimore,,TRIANGLE,MD,12/16/1997 18:30 +Allison Park,RED GREEN,HEXAGON,PA,12/16/1997 19:55 +North San Diego,,FIREBALL,CA,12/16/1997 23:23 +Ocala,,FIREBALL,FL,12/17/1997 0:15 +West Hollywood,,,CA,12/17/1997 0:20 +Burlington,,DIAMOND,VT,12/17/1997 11:45 +Colchester,GREEN,LIGHT,VT,12/17/1997 11:45 +Oxnard,,CIGAR,CA,12/18/1997 22:50 +San Jose,,TRIANGLE,CA,12/20/1997 2:24 +Prescott,,SPHERE,AZ,12/20/1997 22:00 +Las Vegas,,DISK,NV,12/20/1997 23:00 +Harrisonburg,,LIGHT,VA,12/21/1997 5:25 +Brewster,YELLOW,,MA,12/23/1997 20:00 +East Woodstock,,OVAL,CT,12/23/1997 20:00 +Charlotte,,LIGHT,NC,12/25/1997 2:00 +Los Angeles,,DISK,CA,12/25/1997 9:00 +Primrose,,LIGHT,GA,12/26/1997 20:00 +Bonham,,,TX,12/26/1997 21:35 +Dale City,BLUE,TRIANGLE,VA,12/26/1997 22:30 +Spokane,,LIGHT,WA,12/27/1997 20:00 +Victorville,,CIRCLE,CA,12/30/1997 17:40 +Milton,RED,TRIANGLE,FL,12/30/1997 19:30 +Gulfport,,TRIANGLE,MS,12/31/1997 17:45 +Gulfport,,TRIANGLE,MS,12/31/1997 17:45 +Crystal Beach,,CIRCLE,TX,12/31/1997 19:30 +Manassas,,FORMATION,VA,12/31/1997 20:30 +Warren,BLUE,OTHER,OH,12/31/1997 20:30 +St. Louis,BLUE,FLASH,MO,1/1/1998 0:58 +Allentown,,LIGHT,PA,1/1/1998 1:42 +Elizabethtown,,TRIANGLE,IL,1/1/1998 2:00 +Huelo,,LIGHT,HI,1/1/1998 4:00 +Hoboken,,DISK,NJ,1/1/1998 6:00 +Pittsburgh,RED,FORMATION,PA,1/1/1998 7:30 +St. Louis,BLUE,FLASH,MO,1/1/1998 12:58 +Baton Rouge,,CIRCLE,LA,1/1/1998 13:00 +Cannon AFB,,DIAMOND,NM,1/1/1998 13:00 +Graniteville,,DISK,SC,1/1/1998 20:00 +Coxsacke,,LIGHT,NY,1/1/1998 20:30 +Milwaukee,,VARIOUS,WI,1/1/1998 23:00 +I-90,GREEN,SPHERE,WA,1/3/1998 2:30 +Nashville,,CIRCLE,TN,1/4/1998 23:45 +Highland,,OTHER,CA,1/5/1998 15:50 +Phelan,,OTHER,CA,1/5/1998 16:15 +Hudson,,TRIANGLE,NY,1/5/1998 20:00 +Camarillo,,OTHER,CA,1/6/1998 18:00 +Renton,,SPHERE,WA,1/7/1998 16:10 +New York City,,DIAMOND,NY,1/7/1998 23:30 +Petoskey,,LIGHT,MI,1/8/1998 17:00 +Chico,,OVAL,CA,1/8/1998 20:00 +Satellite Point,ORANGE,VARIOUS,FL,1/8/1998 20:00 +Fairbanks,GREEN,OVAL,AK,1/8/1998 22:38 +Pottstown,RED,TRIANGLE,PA,1/9/1998 18:30 +Cape Coral,RED BLUE,LIGHT,FL,1/9/1998 20:00 +Beals,,CIRCLE,ME,1/10/1998 10:00 +Bremerton,,LIGHT,WA,1/10/1998 17:00 +Saginaw,,LIGHT,MI,1/10/1998 22:10 +Lowell,RED,,IN,1/10/1998 22:24 +Colorado Springs,,FIREBALL,CO,1/11/1998 0:10 +Cape May,,LIGHT,NJ,1/11/1998 6:55 +Rachel,,DISK,NV,1/11/1998 20:10 +Minot,,FIREBALL,ND,1/13/1998 1:00 +Goodyear,,LIGHT,AZ,1/13/1998 20:40 +New Washington,,,OH,1/13/1998 21:00 +Litchfield Park,,TRIANGLE,AZ,1/14/1998 21:00 +Neshanic Station,,LIGHT,NJ,1/15/1998 1:00 +New York City,,FORMATION,NY,1/15/1998 1:00 +Lake City,,LIGHT,CO,1/15/1998 5:00 +Daytona Beach,RED,LIGHT,FL,1/15/1998 5:30 +Alaska,,DISK,AK,1/15/1998 13:00 +Grants Pass,,TRIANGLE,OR,1/15/1998 19:00 +Fargo,RED,FIREBALL,ND,1/15/1998 20:30 +no data,RED,CYLINDER,CT,1/15/1998 23:00 +Columbia,,CONE,SC,1/16/1998 17:00 +Krum,RED,,TX,1/17/1998 16:30 +La Grande,,CIRCLE,OR,1/18/1998 19:30 +Tucson,,OTHER,AZ,1/19/1998 6:50 +Goldsboro,,FORMATION,NC,1/21/1998 22:00 +Holstein,,TRIANGLE,NE,1/23/1998 18:05 +Alberton,,CIRCLE,MT,1/23/1998 21:00 +Kaneohe,,TRIANGLE,HI,1/24/1998 5:45 +San Bernardino,,SPHERE,CA,1/24/1998 9:30 +Leander,,CYLINDER,TX,1/24/1998 15:20 +Tucson,,LIGHT,AZ,1/24/1998 15:30 +Orange Park,,,FL,1/24/1998 18:25 +Cape Coral,,DIAMOND,FL,1/24/1998 21:28 +Ripley,,LIGHT,MS,1/25/1998 20:30 +Coconut Creek,,CIRCLE,FL,1/26/1998 16:50 +Bartelso,,OVAL,IL,1/26/1998 20:45 +Las Vegas,GREEN,SPHERE,NV,1/26/1998 21:00 +Las Cruces,,DISK,NM,1/27/1998 17:00 +Schuyler County,ORANGE,,IL,1/27/1998 19:30 +Woodland,RED,TRIANGLE,WA,1/27/1998 19:30 +Woodinville,,SPHERE,WA,1/27/1998 20:20 +Miami,,LIGHT,FL,1/27/1998 21:23 +Anaheim Hills,BLUE,LIGHT,CA,1/27/1998 21:50 +Alberton,RED BLUE,OVAL,MT,1/28/1998 22:00 +Coventry,RED,DISK,RI,1/29/1998 14:00 +Scranton,,FIREBALL,KS,1/29/1998 21:15 +Dallas,,LIGHT,TX,1/30/1998 18:50 +Sedona,,LIGHT,AZ,1/30/1998 20:00 +Monroe City,YELLOW,FIREBALL,MO,1/30/1998 21:05 +Shirley,,DISK,NY,1/31/1998 20:00 +Four Corners,,OTHER,NM,2/1/1998 0:30 +Newbury Park,,CHEVRON,CA,2/1/1998 1:00 +East Los Angeles,,TRIANGLE,CA,2/1/1998 15:00 +Fort Cambell,ORANGE,LIGHT,KY,2/2/1998 19:00 +Aurora,,LIGHT,CO,2/2/1998 22:23 +Apache Junction,,OTHER,AZ,2/3/1998 2:45 +Portage,,SPHERE,MI,2/3/1998 18:50 +Memphis,,TRIANGLE,TN,2/5/1998 0:45 +Hart,,FIREBALL,MI,2/5/1998 7:11 +Gratis,,TRIANGLE,OH,2/5/1998 20:30 +Worcester,BLUE,FIREBALL,MA,2/6/1998 0:00 +Graham,RED,LIGHT,WA,2/6/1998 2:45 +Emporia,,LIGHT,KS,2/6/1998 19:00 +Webster,,LIGHT,TX,2/6/1998 19:06 +Twenty Nine Palms,,OTHER,CA,2/7/1998 11:00 +Moundsville,,LIGHT,WV,2/8/1998 19:20 +Austin,,CIRCLE,TX,2/9/1998 0:15 +Holland,,LIGHT,MI,2/9/1998 4:00 +Grayland,,LIGHT,WA,2/9/1998 21:10 +Crescent City,,RECTANGLE,CA,2/9/1998 23:30 +Sunnyvale,,OTHER,CA,2/10/1998 0:30 +Danbury,,CYLINDER,CT,2/10/1998 20:00 +Laguna Niguel,RED,SPHERE,CA,2/10/1998 20:00 +Three Points,,,AZ,2/10/1998 20:00 +Callicoon,,OVAL,NY,2/10/1998 21:00 +Londonderry,GREEN,LIGHT,NH,2/10/1998 21:00 +Burdett,,OTHER,NY,2/11/1998 22:15 +Shelby County airport,,CIGAR,AL,2/12/1998 12:35 +Merritt Parkway,,LIGHT,CT,2/12/1998 17:10 +Snohomish,,OVAL,WA,2/12/1998 18:20 +Sharon,RED,VARIOUS,PA,2/12/1998 22:15 +Crestone,,LIGHT,CO,2/13/1998 20:00 +Oceanside,,CHEVRON,CA,2/14/1998 5:00 +Rocky Mount,,DISK,NC,2/14/1998 10:45 +Glen Burnie,,OVAL,MD,2/14/1998 22:50 +San Jose,,CIGAR,CA,2/15/1998 8:00 +Yakima,,VARIOUS,WA,2/15/1998 12:00 +Duluth,,FLASH,MN,2/15/1998 19:30 +Fort Lewis,,,WA,2/15/1998 23:00 +Blackfoot,,FLASH,ID,2/15/1998 23:30 +Toledo,,OTHER,OH,2/15/1998 23:35 +Auburn,,FIREBALL,WA,2/16/1998 18:52 +Moreno Valley,,SPHERE,CA,2/17/1998 16:00 +Mobile,,CIRCLE,AL,2/18/1998 21:30 +Orlando,,TRIANGLE,FL,2/18/1998 23:00 +Amherst,YELLOW,TRIANGLE,VA,2/19/1998 0:01 +Fairfax,RED,TRIANGLE,VA,2/19/1998 19:05 +Fairfield,,DISK,CA,2/20/1998 11:30 +Kerrville,,VARIOUS,TX,2/20/1998 19:00 +Kalispell,ORANGE,LIGHT,MT,2/20/1998 20:30 +Columbus,,TRIANGLE,OH,2/20/1998 22:57 +Nokomis,,SPHERE,FL,2/21/1998 11:30 +Tappahannock,,CIRCLE,VA,2/21/1998 17:50 +Halifax,ORANGE,CIRCLE,NC,2/21/1998 20:00 +Ossipee,,LIGHT,NH,2/23/1998 5:30 +Wyoming,,VARIOUS,MI,2/23/1998 7:30 +McAlester,YELLOW,EGG,OK,2/23/1998 20:33 +Houston,ORANGE,CIGAR,TX,2/24/1998 17:00 +Licking,ORANGE,LIGHT,MO,2/24/1998 23:00 +Phoenix,,LIGHT,AZ,2/25/1998 3:00 +Stouthill,,CYLINDER,TN,2/25/1998 5:45 +Harrisburg,ORANGE YELLOW,CIGAR,PA,2/25/1998 11:25 +Nashville,BLUE,FIREBALL,TN,2/25/1998 20:00 +Ontario,ORANGE,DISK,NY,2/26/1998 19:09 +Colorado Springs,BLUE,FIREBALL,CO,2/26/1998 20:30 +Tallahassee,,TRIANGLE,FL,2/26/1998 22:30 +Chandler,,,AZ,2/27/1998 18:30 +Hesperia,BLUE,FIREBALL,CA,2/27/1998 19:35 +Morganton,,LIGHT,NC,2/27/1998 21:00 +Bellville,RED GREEN,CIRCLE,OH,2/27/1998 22:00 +Bangor,,FLASH,ME,2/27/1998 22:10 +Vancouver,,CIRCLE,WA,2/27/1998 22:30 +North Highlands,,LIGHT,CA,2/28/1998 19:15 +Columbus,,,OH,2/28/1998 23:30 +Lodi,,FIREBALL,WI,3/1/1998 2:20 +Leesburg,,,GA,3/1/1998 3:00 +Windham,,FORMATION,NY,3/1/1998 19:00 +New Albany,,LIGHT,IN,3/1/1998 22:00 +Flagstaff,,LIGHT,AZ,3/3/1998 20:00 +Houston,,SPHERE,TX,3/3/1998 20:00 +Goleta,,CIRCLE,CA,3/5/1998 10:00 +Spanish Fork,,TRIANGLE,UT,3/5/1998 16:00 +Norfolk,GREEN,FIREBALL,VA,3/5/1998 19:00 +Pittsfield,,FORMATION,ME,3/5/1998 22:45 +Port Salerno,,,FL,3/7/1998 0:00 +Malabar,,TRIANGLE,FL,3/7/1998 8:00 +Cocoa Beach,,LIGHT,FL,3/7/1998 18:00 +Benson,,FIREBALL,NC,3/7/1998 18:17 +Lake Placid,YELLOW,LIGHT,FL,3/7/1998 18:30 +Orlando,,SPHERE,FL,3/7/1998 18:35 +North Fort Myers,,SPHERE,FL,3/7/1998 18:40 +Temple Terrace,,LIGHT,FL,3/7/1998 18:40 +Fort Myers,,FIREBALL,FL,3/7/1998 18:45 +Lighthouse Point,,LIGHT,FL,3/7/1998 18:45 +Naples,,CONE,FL,3/7/1998 18:45 +Orlando,,LIGHT,FL,3/7/1998 18:45 +Port St. Lucie,,LIGHT,FL,3/7/1998 18:45 +Sebastian Inlet,,LIGHT,FL,3/7/1998 18:45 +Tampa,,,FL,3/7/1998 18:45 +Tampa,,OTHER,FL,3/7/1998 18:45 +Vero Beach,,FORMATION,FL,3/7/1998 18:45 +West Palm Beach,,CIRCLE,FL,3/7/1998 18:45 +Sarasota,,LIGHT,FL,3/7/1998 18:48 +Englewood,,SPHERE,FL,3/7/1998 18:50 +Lehigh Acres,,FIREBALL,FL,3/7/1998 18:50 +Sarasota,,CONE,FL,3/7/1998 18:50 +Central Florida,,LIGHT,FL,3/7/1998 19:00 +Port Charlotte,,LIGHT,FL,3/7/1998 19:00 +Bonita Springs,,OTHER,FL,3/7/1998 19:30 +Kennedy Space Center,,TRIANGLE,FL,3/7/1998 19:30 +West Palm Beach,,FORMATION,FL,3/7/1998 19:30 +Punta Gorda,,DISK,FL,3/7/1998 19:50 +West Palm Beach,,FIREBALL,FL,3/7/1998 20:00 +Chinook,,VARIOUS,MT,3/7/1998 22:00 +Wichita,,CYLINDER,KS,3/8/1998 12:00 +Columbus,RED,VARIOUS,GA,3/8/1998 22:00 +Butte County,,LIGHT,CA,3/9/1998 19:40 +Tucson,,TRIANGLE,AZ,3/9/1998 22:25 +Santa Monica,,SPHERE,CA,3/10/1998 7:00 +Fort Gordon,,LIGHT,GA,3/10/1998 18:00 +Savannah,,CONE,GA,3/10/1998 18:00 +Columbia,,DIAMOND,SC,3/10/1998 19:00 +Windber,BLUE,FORMATION,PA,3/10/1998 19:00 +Alexandria,,CHEVRON,VA,3/10/1998 20:00 +Kauai,,SPHERE,HI,3/11/1998 16:45 +Los Penisquitos,,LIGHT,CA,3/11/1998 19:30 +Northport,,LIGHT,NY,3/11/1998 20:10 +Colorado Springs,,OTHER,CO,3/11/1998 22:03 +Quincy,RED,CIRCLE,CA,3/11/1998 23:30 +Eagle County,GREEN,FIREBALL,CO,3/12/1998 1:10 +Kennewick,,DIAMOND,WA,3/12/1998 1:40 +San Antonio,,LIGHT,TX,3/12/1998 2:30 +Red River,RED,CYLINDER,NM,3/12/1998 4:30 +Greenland,GREEN,SPHERE,NH,3/12/1998 8:34 +Ashtabula,,CIGAR,OH,3/12/1998 22:10 +San Jose,,SPHERE,CA,3/13/1998 13:30 +Florence,,CIGAR,OR,3/13/1998 17:30 +San Diego,,CIRCLE,CA,3/13/1998 21:00 +Seattle,,SPHERE,WA,3/13/1998 21:50 +Novato,RED,FLASH,CA,3/13/1998 22:15 +Tulsa,,LIGHT,OK,3/13/1998 23:40 +Tacoma,RED,FIREBALL,WA,3/14/1998 7:50 +Bradenton,,CIGAR,FL,3/14/1998 15:00 +Frankfort,,TRIANGLE,IN,3/14/1998 21:00 +Roswell,,TRIANGLE,NM,3/15/1998 0:00 +Oak Creek,,LIGHT,CO,3/15/1998 4:00 +Southaven,,DISK,MS,3/15/1998 13:00 +Bozeman,,TRIANGLE,MT,3/15/1998 14:00 +Gunnison,,DISK,CO,3/15/1998 14:30 +North Pole,BLUE,SPHERE,AK,3/15/1998 20:00 +Anchorage,,OVAL,AK,3/15/1998 20:30 +Danbury,,CYLINDER,CT,3/15/1998 20:30 +Greensboro,,LIGHT,NC,3/15/1998 21:30 +Los Osos,,SPHERE,CA,3/15/1998 21:30 +Farina,,FIREBALL,IL,3/15/1998 22:30 +Holderness,GREEN BLUE,FIREBALL,NH,3/16/1998 3:15 +Lunenburg,GREEN,LIGHT,MA,3/16/1998 3:22 +Seattle,,SPHERE,WA,3/16/1998 13:30 +Albany,RED BLUE,CIGAR,OR,3/16/1998 20:30 +Bar Harbor,,FIREBALL,ME,3/16/1998 20:56 +Worcester,,,MA,3/16/1998 23:00 +Trout Run,,FIREBALL,PA,3/18/1998 2:00 +Spring Hill,,LIGHT,TN,3/19/1998 19:00 +Grosse Ile,,DIAMOND,MI,3/19/1998 23:00 +Harriman State Park,,LIGHT,NY,3/20/1998 0:00 +Kentwood,,TRIANGLE,MI,3/20/1998 1:00 +Okoboji,YELLOW GREEN,FIREBALL,IA,3/20/1998 18:00 +Kansas City,GREEN,FORMATION,MO,3/20/1998 20:50 +Kearney,,TRIANGLE,NE,3/20/1998 21:46 +Ten Sleep,,DISK,WY,3/21/1998 20:00 +Holland,,FLASH,MI,3/21/1998 20:15 +San Antonio,,FORMATION,TX,3/21/1998 22:30 +Doylestown,,DISK,PA,3/22/1998 23:30 +Dayton,,LIGHT,OH,3/24/1998 11:30 +Southport,,CIRCLE,CT,3/24/1998 16:38 +Lake Placid,,LIGHT,FL,3/24/1998 21:50 +Tempe,,TRIANGLE,AZ,3/24/1998 21:55 +Fort Pierce,ORANGE,FIREBALL,FL,3/24/1998 22:00 +Teague,,FIREBALL,TX,3/24/1998 22:10 +Alexandria,,TRIANGLE,LA,3/25/1998 23:30 +Beautiful Home Community of Monroe County,,LIGHT,KY,3/26/1998 19:00 +Poseyville,RED,OVAL,IN,3/26/1998 19:00 +St. Cloud,YELLOW,LIGHT,FL,3/26/1998 21:30 +Westhampton,,,NY,3/26/1998 21:30 +Kissimmee,,LIGHT,FL,3/26/1998 21:45 +St. Cloud,,LIGHT,FL,3/26/1998 21:50 +Lake Wales,YELLOW,LIGHT,FL,3/26/1998 22:00 +Portland,BLUE,LIGHT,OR,3/26/1998 22:00 +Milwaukee,,CIRCLE,WI,3/27/1998 20:40 +Pueblo,RED GREEN,LIGHT,CO,3/27/1998 21:00 +Arroyo Grande,,DISK,CA,3/27/1998 22:35 +Clifton Park,,OTHER,NY,3/27/1998 23:00 +Newnan,,DISK,GA,3/27/1998 23:00 +Malvern,,CROSS,PA,3/28/1998 4:30 +Urbana,,DISK,OH,3/28/1998 13:00 +Death Valley,,FIREBALL,CA,3/28/1998 20:30 +Yakima,,VARIOUS,WA,3/29/1998 2:29 +Indio,ORANGE,LIGHT,CA,3/29/1998 19:30 +Lunenburg,,FIREBALL,MA,3/29/1998 20:18 +Mountain View,,OTHER,CA,3/30/1998 22:00 +Bel Air,,FORMATION,MD,3/30/1998 22:30 +Davenport,,CIRCLE,IA,3/30/1998 23:00 +Baraboo,YELLOW,LIGHT,WI,3/31/1998 5:00 +Ozark National Forest,ORANGE,RECTANGLE,AR,3/31/1998 19:30 +Glendale,,CIRCLE,CA,4/1/1998 8:00 +Providence,,CIRCLE,RI,4/1/1998 13:00 +Henry County,,TRIANGLE,OH,4/1/1998 21:00 +Santa Clarita,,FIREBALL,CA,4/2/1998 5:00 +Midland,,DISK,TX,4/2/1998 14:10 +Austin,,FLASH,TX,4/2/1998 21:30 +Greenville,,OTHER,OH,4/2/1998 22:50 +San Antonio,RED GREEN BLUE,TRIANGLE,TX,4/3/1998 1:25 +Waldorf,,CIRCLE,MD,4/3/1998 7:30 +Fredericksburg,GREEN BLUE,EGG,VA,4/3/1998 18:42 +Fairfax,,OVAL,VA,4/3/1998 18:45 +Wickiup,GREEN,OTHER,AZ,4/3/1998 20:01 +Eau Claire,,DIAMOND,WI,4/3/1998 22:20 +Cheyenne,,SPHERE,WY,4/4/1998 9:00 +Northern California,,LIGHT,CA,4/4/1998 23:00 +Gardiner,,CIRCLE,ME,4/4/1998 23:30 +Winslow,,LIGHT,ME,4/5/1998 1:00 +Baraboo,,LIGHT,WI,4/5/1998 8:10 +Soquel,GREEN,OTHER,CA,4/5/1998 11:50 +it was in the middle of no where,,DISK,GA,4/5/1998 19:00 +Channahon,,TRIANGLE,IL,4/5/1998 23:35 +Lake Wales,,LIGHT,FL,4/6/1998 0:00 +Edwards AFB,,,CA,4/6/1998 22:45 +San Diego,,OVAL,CA,4/9/1998 10:00 +Colorado Springs,YELLOW,OTHER,CO,4/9/1998 21:15 +Colorado Springs,,OTHER,CO,4/9/1998 21:34 +Costa Mesa,,EGG,CA,4/9/1998 23:45 +El Cajon,RED,CIGAR,CA,4/10/1998 5:45 +Fort Lewis,,CIRCLE,WA,4/10/1998 11:30 +Charleston,,,SC,4/10/1998 17:00 +Pembroke Pines,,TRIANGLE,FL,4/10/1998 21:00 +Woodland Hills,,LIGHT,CA,4/11/1998 11:00 +Spring Valley,,FIREBALL,CA,4/11/1998 19:00 +Corralitos,ORANGE,OTHER,CA,4/11/1998 21:15 +Yucaipa,,LIGHT,CA,4/12/1998 0:30 +Level Cross,,,NC,4/12/1998 17:00 +Waldorf,,OVAL,MD,4/12/1998 17:00 +Cleveland,,LIGHT,OH,4/12/1998 18:45 +Castle Rock,,TRIANGLE,CO,4/12/1998 22:00 +Whitefish,,,MT,4/12/1998 23:00 +Cleveland,,TRIANGLE,TN,4/12/1998 23:30 +Binghamton,,OTHER,NY,4/13/1998 7:00 +Spokane,,LIGHT,WA,4/14/1998 3:20 +Vienna,,VARIOUS,VA,4/14/1998 13:19 +Texico,,OTHER,IL,4/14/1998 21:30 +Ashland,,FIREBALL,NE,4/15/1998 3:30 +Catawba,,TRIANGLE,OH,4/15/1998 7:45 +Passaic,,OTHER,NJ,4/15/1998 8:00 +Baraboo,,SPHERE,WI,4/15/1998 8:20 +South Zanesville,,LIGHT,OH,4/15/1998 9:00 +San Antonio,,CYLINDER,TX,4/15/1998 13:00 +Murfreesboro,,SPHERE,TN,4/15/1998 15:00 +Roanoke,BLUE,FIREBALL,VA,4/15/1998 17:44 +Richmond,,DISK,CA,4/15/1998 20:00 +Hartsgrove,,DISK,OH,4/15/1998 20:30 +Flagstaff,RED,CIRCLE,AZ,4/15/1998 20:48 +Warsaw,,,MO,4/15/1998 21:00 +Arlington,,LIGHT,VT,4/15/1998 22:00 +Magna,,LIGHT,UT,4/15/1998 22:00 +New Bedford,ORANGE,OVAL,MA,4/15/1998 22:00 +Lancing,,LIGHT,TN,4/15/1998 23:30 +Milpitas,,SPHERE,CA,4/16/1998 3:08 +Fort Gay,,DISK,WV,4/16/1998 15:00 +Lafayette,,FIREBALL,CA,4/16/1998 23:16 +Plainwell,,TRIANGLE,MI,4/17/1998 23:15 +Tampa,,VARIOUS,FL,4/18/1998 14:00 +Glenview,,TRIANGLE,IL,4/18/1998 21:30 +Chicago,,OTHER,IL,4/19/1998 22:10 +Vancouver,,SPHERE,WA,4/20/1998 9:00 +Valdosta,,CIRCLE,GA,4/20/1998 10:30 +Muskegon,GREEN,OTHER,MI,4/20/1998 21:00 +Brighton,,TRIANGLE,IL,4/20/1998 22:00 +Austin,YELLOW,LIGHT,TX,4/20/1998 23:59 +Pecos,BLUE,CHEVRON,TX,4/21/1998 0:24 +Broomfield,,TEARDROP,CO,4/21/1998 22:30 +Santa Cruz,GREEN,FIREBALL,CA,4/21/1998 23:46 +Melbourne,,LIGHT,FL,4/22/1998 5:00 +Machias,,LIGHT,ME,4/22/1998 16:00 +Sierra Vista,RED,LIGHT,AZ,4/22/1998 20:00 +Friday Harbor,,FIREBALL,WA,4/22/1998 21:20 +Portland,GREEN,SPHERE,OR,4/22/1998 21:20 +Snohomish,ORANGE BLUE,OVAL,WA,4/22/1998 21:20 +Shelton,,CIRCLE,WA,4/22/1998 21:22 +Bangor Submarine Base,,DISK,WA,4/22/1998 21:23 +Pacific,BLUE,LIGHT,WA,4/22/1998 21:24 +Federal Way,GREEN,LIGHT,WA,4/22/1998 21:30 +Vancouver,BLUE,LIGHT,WA,4/22/1998 21:30 +Yakima,BLUE,CIRCLE,WA,4/22/1998 21:30 +North Little Rock,,LIGHT,AR,4/22/1998 22:00 +Reno,GREEN,,NV,4/22/1998 23:25 +Oneonta,,LIGHT,NY,4/23/1998 4:01 +Epcot Center,,DISK,FL,4/23/1998 16:00 +Oconomowoc,,LIGHT,WI,4/23/1998 17:21 +Hollywood,ORANGE,LIGHT,CA,4/23/1998 18:00 +Shoreline,GREEN,OTHER,WA,4/23/1998 21:25 +West Boca Raton,,CIRCLE,FL,4/23/1998 22:30 +Bedford Park,GREEN,FIREBALL,IL,4/24/1998 0:25 +Mt. Charlston,,FORMATION,NV,4/24/1998 0:30 +Frisco,,OVAL,CO,4/25/1998 20:00 +Manito,,FORMATION,IL,4/25/1998 21:00 +Blanchard,RED GREEN BLUE,TRIANGLE,OK,4/25/1998 21:45 +Roca,,TRIANGLE,NE,4/25/1998 22:30 +Eagan,,LIGHT,MN,4/26/1998 21:45 +Comer,,DISK,GA,4/26/1998 23:50 +Santa Cruz,,OTHER,CA,4/27/1998 11:00 +Tulsa,,CIRCLE,OK,4/28/1998 22:00 +Colorado Springs,,FLASH,CO,4/28/1998 22:42 +Simpsonville,,LIGHT,SC,4/29/1998 6:25 +Republic,,FIREBALL,WA,4/29/1998 7:15 +Reno,,OTHER,CA,4/30/1998 1:00 +Danville,BLUE,TEARDROP,VA,4/30/1998 17:45 +Austin,,SPHERE,TX,4/30/1998 19:00 +Hardin,,TRIANGLE,KY,5/1/1998 0:00 +Rural,,FORMATION,NV,5/1/1998 0:00 +San Diego,,LIGHT,CA,5/1/1998 2:00 +Cordele,,DIAMOND,GA,5/1/1998 16:00 +New York City,,TRIANGLE,NY,5/1/1998 18:30 +Cleveland,,LIGHT,OH,5/1/1998 21:00 +Lufkin,GREEN,LIGHT,TX,5/1/1998 21:00 +Gwinn,,TRIANGLE,MI,5/1/1998 22:00 +Fort Smith,,DISK,AR,5/2/1998 1:00 +Los Angeles,,TRIANGLE,CA,5/2/1998 6:00 +Cheyenne,,,WY,5/2/1998 20:30 +Portland,,TRIANGLE,OR,5/2/1998 22:45 +Las Vegas,,TRIANGLE,NV,5/3/1998 21:00 +San Diego,BLUE,DISK,CA,5/4/1998 0:00 +Memphis,ORANGE,,TN,5/4/1998 0:45 +Moultrie,,VARIOUS,GA,5/4/1998 6:00 +Auburn,,SPHERE,WA,5/6/1998 13:30 +Manito,,TRIANGLE,IL,5/6/1998 23:30 +New York City,,TRIANGLE,NY,5/8/1998 19:15 +Deerfield Beach,,LIGHT,FL,5/8/1998 21:40 +Pompano Beach,,TRIANGLE,FL,5/8/1998 21:40 +Midlothian,,OTHER,IL,5/8/1998 22:00 +Asbury community,,LIGHT,NC,5/9/1998 20:00 +Bessemer,,,AL,5/10/1998 2:00 +Seattle,,FIREBALL,WA,5/10/1998 10:00 +Grand Rapids,,,MN,5/10/1998 19:00 +Carpentersville,,CIRCLE,IL,5/10/1998 21:30 +Oklahoma,,CIRCLE,OK,5/10/1998 22:00 +South Holland,,DISK,IL,5/11/1998 22:12 +Superior,,CIRCLE,WI,5/12/1998 1:00 +Pampa,,LIGHT,TX,5/12/1998 3:00 +Kinston,,CIGAR,NC,5/12/1998 16:00 +Chebanse,,DISK,IL,5/12/1998 21:00 +Rose,,TRIANGLE,NY,5/15/1998 0:00 +S. Beloit,,CIRCLE,IL,5/15/1998 0:00 +Ft. Campbell,,CIRCLE,KY,5/15/1998 7:30 +Nettleton,,LIGHT,MS,5/15/1998 7:30 +Des Plaines,,OTHER,IL,5/15/1998 18:00 +New York City,GREEN,OVAL,NY,5/15/1998 20:00 +Vincennes,,TRIANGLE,IN,5/15/1998 20:00 +Sebastopol,,LIGHT,MS,5/15/1998 21:45 +Newnan,,LIGHT,GA,5/15/1998 23:00 +Pueblo West,,TRIANGLE,CO,5/15/1998 23:30 +West Elkton,,,OH,5/16/1998 0:00 +Wilmington,,,NC,5/16/1998 2:20 +Westbrook,,OVAL,ME,5/16/1998 2:30 +Wheat Ridge,,CYLINDER,CO,5/16/1998 3:00 +Overland Park,,FIREBALL,KS,5/16/1998 16:00 +Andover,,LIGHT,MN,5/16/1998 21:45 +Manteca,,TRIANGLE,CA,5/16/1998 22:30 +Simla,GREEN,VARIOUS,CO,5/16/1998 23:47 +Belle Vernon,,OTHER,PA,5/17/1998 8:10 +Almont,,CIRCLE,MI,5/17/1998 17:00 +Colorado Springs,,LIGHT,CO,5/17/1998 22:25 +Kaleva,,LIGHT,MI,5/17/1998 23:20 +Salt Lake City,,TRIANGLE,UT,5/17/1998 23:30 +Rapid City,,OTHER,SD,5/18/1998 23:30 +Hill AFB,,CHEVRON,UT,5/20/1998 2:00 +Norfolk,,OTHER,MA,5/20/1998 3:15 +Granville,,LIGHT,OH,5/20/1998 4:30 +Atlantic City,BLUE,CIRCLE,NJ,5/20/1998 17:30 +Morristown,BLUE,FIREBALL,OH,5/20/1998 21:00 +Buffalo Grove,,LIGHT,IL,5/20/1998 21:45 +Salt Lake City,,CHEVRON,UT,5/20/1998 22:30 +Burlington,,LIGHT,VT,5/20/1998 22:40 +Old Appleton,,,MO,5/20/1998 23:00 +Spokane,,LIGHT,WA,5/21/1998 2:50 +Ridgway,,DISK,PA,5/21/1998 13:00 +St. Charles,,OTHER,ID,5/21/1998 20:00 +Denver,,FLASH,CO,5/21/1998 21:30 +Indianapolis,,VARIOUS,IN,5/22/1998 14:20 +Tigard,,TRIANGLE,OR,5/22/1998 21:00 +Moab,,FIREBALL,UT,5/23/1998 12:00 +Boston Location,,DISK,MI,5/23/1998 16:30 +Asbury Park,,CIGAR,NJ,5/24/1998 22:40 +Madison,,CYLINDER,WI,5/25/1998 12:05 +Denver,,TEARDROP,CO,5/26/1998 10:40 +Stanwood,,RECTANGLE,WA,5/28/1998 20:10 +Santa Fe,,FIREBALL,NM,5/28/1998 20:30 +Tucker,,VARIOUS,GA,5/28/1998 22:30 +Davie,GREEN BLUE,FLASH,FL,5/28/1998 22:43 +North Bend,,TRIANGLE,OH,5/29/1998 1:30 +Maple Shade,,SPHERE,NJ,5/29/1998 3:00 +Dallas,,DISK,TX,5/29/1998 4:45 +Phoenix,,OVAL,AZ,5/29/1998 5:00 +Phoenix,,CIGAR,AZ,5/29/1998 5:10 +Phoenix,,CIGAR,AZ,5/29/1998 5:10 +Elmira,,TRIANGLE,NY,5/29/1998 23:30 +Woodstock,GREEN,CIGAR,IL,5/30/1998 1:40 +Whitehorse,,LIGHT,MT,5/30/1998 4:00 +Salem,,OVAL,OR,5/30/1998 21:00 +Fort Hood,,LIGHT,TX,5/31/1998 2:30 +Tucson,,CONE,AZ,5/31/1998 10:30 +Penfield,,DISK,IL,5/31/1998 21:00 +Vancouver,,TRIANGLE,WA,5/31/1998 21:30 +Andrews,,CYLINDER,NC,6/1/1998 0:00 +Leo,,LIGHT,IN,6/1/1998 0:06 +Denver,,CIRCLE,CO,6/1/1998 0:15 +Bakersfield,,TRIANGLE,CA,6/1/1998 1:00 +Danville,,DISK,OH,6/1/1998 1:00 +Mechanicsburg,,OVAL,OH,6/1/1998 1:00 +Nipomo,,LIGHT,CA,6/1/1998 2:00 +Pensacola Beach,,LIGHT,FL,6/1/1998 2:00 +Wilmington,,OVAL,DE,6/1/1998 9:30 +Ellensburg,,LIGHT,WA,6/1/1998 10:00 +Winston-Salem,,CIRCLE,NC,6/1/1998 10:30 +Kelseyville,,TRIANGLE,CA,6/1/1998 11:00 +Bozeman,,DISK,MT,6/1/1998 12:00 +Boston,,DISK,MA,6/1/1998 14:00 +West Plains,,TRIANGLE,MO,6/1/1998 14:00 +West Richland,,OVAL,WA,6/1/1998 14:00 +Colville,,OTHER,WA,6/1/1998 16:30 +Toledo,,OVAL,OH,6/1/1998 17:00 +Denmark,,TRIANGLE,SC,6/1/1998 18:00 +Hunstville,,VARIOUS,AL,6/1/1998 18:00 +New Rochelle,,LIGHT,NY,6/1/1998 20:00 +O'Fallon,,TRIANGLE,MO,6/1/1998 20:00 +Lake Wales,,,FL,6/1/1998 20:30 +Salem,,OTHER,OR,6/1/1998 21:00 +Sulphur,,SPHERE,LA,6/1/1998 21:00 +Mt. Airy,,LIGHT,NC,6/1/1998 21:30 +Wendover,,TRIANGLE,UT,6/1/1998 21:30 +Bayfield,,FIREBALL,WI,6/1/1998 22:00 +Cockeysville,,,MD,6/1/1998 22:00 +Destrehan,RED,LIGHT,LA,6/1/1998 22:00 +Liberty County,,OTHER,MT,6/1/1998 22:00 +Valencia,,TRIANGLE,CA,6/1/1998 22:00 +Rancho Tehama,,DISK,CA,6/1/1998 23:00 +Lake Weir,,TRIANGLE,FL,6/2/1998 19:15 +Waco,,CYLINDER,TX,6/3/1998 17:30 +Rydal,,LIGHT,GA,6/4/1998 0:00 +Ocotillo,,TRIANGLE,CA,6/4/1998 6:19 +Chicago,,SPHERE,IL,6/4/1998 8:30 +Panama City Beach,,TRIANGLE,FL,6/4/1998 22:30 +West Paterson,,DISK,NJ,6/5/1998 3:31 +Bailey,,CIRCLE,CO,6/6/1998 0:30 +Ashland,,CONE,OH,6/6/1998 4:30 +Montverde,YELLOW,EGG,FL,6/6/1998 8:40 +Reno,,FORMATION,NV,6/6/1998 14:18 +Clifton,,SPHERE,NJ,6/6/1998 16:15 +Salinas,,FIREBALL,CA,6/6/1998 19:00 +Tampa,,LIGHT,FL,6/6/1998 21:30 +Elba,,LIGHT,NY,6/6/1998 22:00 +Vero Beach,,LIGHT,FL,6/6/1998 22:00 +St. Louis,,DIAMOND,MO,6/6/1998 23:15 +,,CIRCLE,TX,6/7/1998 7:00 +Los Angeles,,TRIANGLE,CA,6/7/1998 14:00 +Phoenix,,FIREBALL,AZ,6/7/1998 21:05 +Framingham,YELLOW GREEN,OTHER,MA,6/7/1998 21:40 +Cornville,,FIREBALL,AZ,6/7/1998 22:00 +Watertown,,CIRCLE,NY,6/7/1998 23:00 +Chesterfield,,FIREBALL,MO,6/7/1998 23:06 +Newport,YELLOW,LIGHT,RI,6/8/1998 21:00 +Chesterfield,,,MO,6/8/1998 22:20 +Salem,,LIGHT,OR,6/8/1998 23:40 +San Bernardino,,DIAMOND,CA,6/9/1998 0:00 +Lynch Mountain,,OTHER,KY,6/9/1998 6:20 +Brownsville,,LIGHT,TX,6/9/1998 21:30 +Chicago,,CIRCLE,IL,6/10/1998 2:30 +Newalla,,OTHER,OK,6/10/1998 22:00 +Palm Springs,,CIRCLE,CA,6/11/1998 13:00 +Lincoln City,,VARIOUS,OR,6/11/1998 17:25 +Patterson,,DISK,CA,6/11/1998 18:15 +Tampa,,LIGHT,FL,6/11/1998 21:00 +Kansas City,RED GREEN,LIGHT,MO,6/11/1998 21:58 +Grayling,ORANGE,SPHERE,MI,6/12/1998 10:30 +Halsey,,,OR,6/12/1998 14:00 +West Chicago,,RECTANGLE,IL,6/12/1998 21:00 +Santa Monica,,FORMATION,CA,6/12/1998 21:35 +Perris,ORANGE,LIGHT,CA,6/12/1998 22:30 +Montebello,,LIGHT,CA,6/12/1998 22:45 +Spokane,BLUE,OVAL,WA,6/13/1998 13:00 +Gresham,,CIRCLE,OR,6/13/1998 19:00 +Gresham,,CROSS,OR,6/13/1998 23:40 +Columbus,,FORMATION,OH,6/14/1998 4:30 +Cartago,,SPHERE,CA,6/15/1998 0:01 +Boy Scout Camp Royenea,GREEN,DISK,CA,6/15/1998 0:30 +CA,,,CA,6/15/1998 1:00 +Glide,BLUE,SPHERE,OR,6/15/1998 1:00 +Irwindale,GREEN,LIGHT,CA,6/15/1998 3:00 +Stockton,,FIREBALL,CA,6/15/1998 3:00 +Kingsville,,LIGHT,TX,6/15/1998 5:47 +Beavercreek,,OTHER,OH,6/15/1998 8:23 +Kalkaska,,CIGAR,MI,6/15/1998 11:00 +Navajo Lake,,SPHERE,NM,6/15/1998 11:00 +Florissant,,CIRCLE,CO,6/15/1998 14:00 +Lancaster,,CIRCLE,NY,6/15/1998 14:00 +Pontoto,,TRIANGLE,MS,6/15/1998 20:00 +Stoddard Valley,,OTHER,CA,6/15/1998 20:00 +Rochester,,LIGHT,IN,6/15/1998 20:30 +Bensalem,,DISK,PA,6/15/1998 21:00 +Valley Springs,,OTHER,CA,6/15/1998 21:30 +Campwood,,CIRCLE,TX,6/15/1998 22:00 +New Haven,BLUE,TRIANGLE,KY,6/15/1998 22:00 +Bryan,,LIGHT,TX,6/15/1998 22:10 +Healdsburg,GREEN BLUE,FIREBALL,CA,6/15/1998 22:34 +Edmond,,FIREBALL,OK,6/15/1998 23:00 +McHenry,,LIGHT,IL,6/15/1998 23:00 +Vincennes,,LIGHT,IN,6/16/1998 8:46 +Meadville,,TEARDROP,PA,6/16/1998 14:00 +Vincennes,,LIGHT,IN,6/16/1998 20:46 +Aspers,,CIRCLE,PA,6/16/1998 23:30 +Roseville,,LIGHT,MI,6/17/1998 1:30 +Corvallis,GREEN,SPHERE,OR,6/17/1998 22:45 +Annapolis,,TEARDROP,MD,6/17/1998 23:17 +Narcoossee,,LIGHT,FL,6/18/1998 18:45 +Kirkland,,DIAMOND,WA,6/18/1998 22:30 +Marina,,TEARDROP,CA,6/18/1998 23:44 +Tucson,,,AZ,6/19/1998 16:00 +Superior,BLUE,TRIANGLE,MT,6/20/1998 0:39 +Dover,,RECTANGLE,DE,6/20/1998 2:00 +Hartsgrove,,LIGHT,OH,6/20/1998 2:00 +Jacksonville,,CIRCLE,FL,6/20/1998 3:30 +Morris,,EGG,MN,6/20/1998 7:00 +Claremore,,SPHERE,OK,6/20/1998 14:00 +Covington,,CIRCLE,WA,6/20/1998 17:50 +St.Helens,,FIREBALL,OR,6/20/1998 18:00 +Medford,,CYLINDER,MA,6/20/1998 20:00 +Wilmington,,OTHER,NC,6/20/1998 21:30 +Eustace,,OVAL,TX,6/20/1998 22:00 +Rochester,,CHEVRON,NY,6/20/1998 22:30 +Wrightwood,,CIRCLE,CA,6/20/1998 23:00 +Cary,RED,CIRCLE,NC,6/20/1998 23:30 +San Bruno,,DISK,CA,6/21/1998 21:30 +Moundsville,,LIGHT,WV,6/21/1998 22:10 +Corpus Christi,ORANGE YELLOW,CYLINDER,TX,6/21/1998 22:30 +Waveland,,OVAL,MS,6/21/1998 23:30 +Evansville,,LIGHT,IN,6/22/1998 0:45 +Ellsworth,,LIGHT,WI,6/22/1998 1:00 +Belgrade,RED,,MT,6/22/1998 1:30 +Austin,,TRIANGLE,TX,6/22/1998 4:30 +Santee,,CYLINDER,SC,6/22/1998 22:30 +Neshkoro,,OTHER,WI,6/23/1998 0:30 +Apex,,TRIANGLE,NC,6/23/1998 1:15 +Richmond,,,VA,6/23/1998 20:58 +Lewiston,,LIGHT,ME,6/24/1998 18:30 +Austin,RED,OTHER,TX,6/24/1998 22:00 +Cleveland,,SPHERE,OH,6/25/1998 2:00 +Moab,,LIGHT,UT,6/25/1998 10:15 +Flagstaff,RED YELLOW,SPHERE,AZ,6/25/1998 10:23 +Boise,,SPHERE,ID,6/25/1998 11:00 +Plymouth,,CIRCLE,WI,6/25/1998 13:00 +Las Cruces,,CIRCLE,NM,6/25/1998 22:18 +Trumann,,OTHER,AR,6/26/1998 10:15 +Apple Valley,,OTHER,CA,6/26/1998 19:30 +East Amwell,,CIRCLE,NJ,6/27/1998 20:06 +East Amwell Township,,OVAL,NJ,6/27/1998 20:50 +Trenton,,DISK,NJ,6/27/1998 21:15 +Penfield,,CIRCLE,NY,6/27/1998 22:40 +Blossburg,,LIGHT,PA,6/28/1998 2:30 +Ellicott City,RED,SPHERE,MD,6/28/1998 5:00 +Craig,,OVAL,MT,6/28/1998 22:00 +Fitchburg,,CIRCLE,MA,6/28/1998 22:00 +Central Point,,LIGHT,OR,6/28/1998 23:00 +Goat Island,,FIREBALL,SC,6/28/1998 23:00 +Sacramento,RED,CIGAR,CA,6/28/1998 23:20 +Reno,,CIRCLE,NV,6/29/1998 12:00 +Yakima,GREEN,FIREBALL,WA,6/29/1998 23:01 +Corbin,,,KY,6/29/1998 23:30 +Waterford,BLUE,FLASH,WI,6/29/1998 23:45 +Jackson,,CYLINDER,MS,6/30/1998 0:00 +South Bend,,,IN,6/30/1998 1:00 +Quartzite,,FLASH,AZ,6/30/1998 1:30 +Indianola,,DIAMOND,IA,6/30/1998 2:00 +Port St. Lucie,,DISK,FL,6/30/1998 3:00 +Bettendorf,,LIGHT,IA,6/30/1998 3:58 +Algonac,,TRIANGLE,MI,6/30/1998 4:15 +Commerce Township,,VARIOUS,MI,6/30/1998 10:00 +Urbana,,CYLINDER,IL,6/30/1998 13:00 +Rome,,SPHERE,GA,6/30/1998 18:40 +Pasadena,,CIGAR,MD,6/30/1998 20:40 +Waldorf,,OVAL,MD,6/30/1998 21:30 +Los Angeles,,,CA,6/30/1998 23:00 +Roseville,,CIRCLE,CA,7/1/1998 0:00 +Rapid City,,SPHERE,MI,7/1/1998 2:00 +Garfield,,,NJ,7/1/1998 10:30 +Casa Grande,ORANGE YELLOW,CIRCLE,AZ,7/1/1998 17:20 +Fresno,,TRIANGLE,CA,7/1/1998 20:45 +Lockwood,,CIGAR,CA,7/1/1998 22:00 +Kalamazoo,ORANGE,CONE,MI,7/2/1998 1:30 +Bluewater Lake,ORANGE,LIGHT,NM,7/2/1998 4:30 +Huntsville,,LIGHT,AL,7/3/1998 21:30 +Hawii,,LIGHT,HI,7/4/1998 10:23 +Fenton,,DIAMOND,MI,7/4/1998 19:00 +Boston,,SPHERE,MA,7/4/1998 22:00 +Richmond,,CONE,IN,7/4/1998 22:00 +Nags Head,,LIGHT,NC,7/4/1998 22:30 +Burien,,LIGHT,WA,7/4/1998 22:55 +Boston,,SPHERE,MA,7/4/1998 23:00 +Huntsville,RED,LIGHT,AL,7/4/1998 23:00 +Hillsboro,,SPHERE,MO,7/4/1998 23:15 +Clarkston,,LIGHT,MI,7/4/1998 23:45 +Holland,,LIGHT,MI,7/4/1998 23:45 +Lake Vermillion,,DISK,MN,7/5/1998 0:00 +"Round Lake Beach, Illinois",,LIGHT,IL,7/5/1998 0:34 +Boundary Waters,,EGG,MN,7/5/1998 1:00 +Manasota Key,,FORMATION,FL,7/5/1998 2:00 +Panora,,SPHERE,IA,7/5/1998 3:00 +Portland,,TRIANGLE,ME,7/5/1998 21:00 +Cook,,LIGHT,MN,7/5/1998 23:30 +Loomis,,FLASH,WA,7/6/1998 1:24 +Elkhart,,CIGAR,IN,7/6/1998 13:30 +Rapid City,,OTHER,SD,7/6/1998 17:40 +Marty,,EGG,SD,7/7/1998 0:30 +Massillon,,FORMATION,OH,7/7/1998 1:35 +Denver,,SPHERE,CO,7/7/1998 17:00 +Livermore,,OTHER,CA,7/7/1998 21:00 +Hull,,OVAL,GA,7/7/1998 22:00 +Danville,BLUE,SPHERE,PA,7/7/1998 23:10 +Lakin,,TRIANGLE,KS,7/8/1998 2:00 +Albany,,RECTANGLE,NY,7/8/1998 7:30 +West Bloomfield,,OTHER,MI,7/8/1998 23:00 +Fernley,,TRIANGLE,NV,7/9/1998 20:24 +Hubbard,,TRIANGLE,OH,7/9/1998 21:30 +New York City,,DISK,NY,7/9/1998 21:30 +Sea Ranch,,,CA,7/9/1998 22:27 +South Prairie,,OTHER,WA,7/10/1998 0:45 +New Rochelle,,CIGAR,NY,7/10/1998 15:00 +Arnold,,LIGHT,MO,7/10/1998 17:30 +Brick,,SPHERE,NJ,7/10/1998 20:00 +Morristown,RED,,NJ,7/10/1998 20:29 +Westford,BLUE,DISK,VT,7/10/1998 22:00 +San Angelo,,FORMATION,TX,7/10/1998 22:15 +Medina County,,LIGHT,OH,7/11/1998 12:00 +"Hwy 30, heading west",RED,OTHER,PA,7/11/1998 13:35 +Lincoln,,SPHERE,MA,7/11/1998 17:00 +Chicago,,LIGHT,IL,7/11/1998 22:20 +Franklin Park,,CIRCLE,IL,7/11/1998 22:43 +Lock Haven,,,PA,7/12/1998 2:00 +Centerville,,LIGHT,OH,7/12/1998 2:50 +Decatur,,OTHER,AL,7/12/1998 20:00 +Salisbury,,FIREBALL,NC,7/12/1998 21:45 +Angola,,FORMATION,NY,7/12/1998 22:00 +Mt. Morris,RED BLUE,LIGHT,PA,7/12/1998 22:25 +McCook Lake,,,SD,7/13/1998 0:00 +San Francisco International Airport,,VARIOUS,CA,7/13/1998 2:00 +Schererville,,SPHERE,IN,7/13/1998 8:45 +Bakersfield,,,CA,7/13/1998 15:38 +Chocowinity,,DISK,NC,7/13/1998 21:00 +Idaho Falls,,TRIANGLE,ID,7/13/1998 23:05 +Bay City,,,TX,7/14/1998 22:30 +York,,,PA,7/14/1998 22:34 +Shanadoah,,TRIANGLE,IA,7/14/1998 23:00 +Minneapolis,,DISK,MN,7/15/1998 1:00 +Rachel,,OTHER,NV,7/15/1998 1:00 +Albuquerque,,FIREBALL,NM,7/15/1998 1:30 +Council,,TRIANGLE,ID,7/15/1998 1:30 +San Bernardino,,LIGHT,CA,7/15/1998 5:00 +Columbus,,OTHER,OH,7/15/1998 8:00 +New York City,,OTHER,NY,7/15/1998 14:00 +Dublin,,FLASH,OH,7/15/1998 14:30 +Bristol,,EGG,RI,7/15/1998 15:00 +Spokane,,OVAL,WA,7/15/1998 15:00 +Aurora,,,CO,7/15/1998 19:00 +Sterling,,DISK,VA,7/15/1998 19:00 +McMinnville,GREEN,OVAL,TN,7/15/1998 20:00 +Medford,,CIRCLE,OR,7/15/1998 21:00 +Chiricahua Mountains,,CIRCLE,AZ,7/15/1998 21:30 +Scales Mound,,LIGHT,IL,7/15/1998 21:30 +Lynnwood,,TRIANGLE,WA,7/15/1998 22:00 +Chapel Hill,,FORMATION,TN,7/15/1998 22:30 +Killeen,,FLASH,TX,7/15/1998 22:30 +Salem,,CIRCLE,NH,7/15/1998 23:30 +Whitehall,,LIGHT,MI,7/15/1998 23:30 +Muscatine,GREEN BLUE,OVAL,IA,7/16/1998 9:30 +Puyallup,,OTHER,WA,7/16/1998 15:00 +Pine Bush,,SPHERE,NY,7/16/1998 22:00 +Carson City,,SPHERE,NV,7/16/1998 23:00 +Jacksonville,,LIGHT,FL,7/17/1998 2:00 +Jacksonville,,OTHER,FL,7/17/1998 2:02 +Jacksonville,YELLOW,DIAMOND,FL,7/17/1998 2:10 +Indianapolis,,SPHERE,IN,7/17/1998 7:45 +Cleveland,,OTHER,OH,7/17/1998 16:00 +Fort Lauderdale,BLUE,FLASH,FL,7/17/1998 22:00 +Tukwila,,LIGHT,WA,7/17/1998 22:00 +Portland,,LIGHT,OR,7/17/1998 22:51 +Chandler,,LIGHT,AZ,7/18/1998 2:15 +Longmont,,TRIANGLE,CO,7/18/1998 10:07 +Rimrock Lake,,FORMATION,WA,7/18/1998 22:00 +Arcadia,,,KS,7/19/1998 0:30 +Winchendon,,SPHERE,MA,7/19/1998 5:00 +Hicksville,,EGG,NY,7/19/1998 11:30 +Ogden,,DISK,UT,7/20/1998 1:00 +Tinley Park,,LIGHT,IL,7/20/1998 2:00 +Des Moines,,OTHER,IA,7/20/1998 12:00 +Romulus,,FORMATION,MI,7/20/1998 18:30 +Brownstown,ORANGE,LIGHT,MI,7/20/1998 20:00 +Callaway,,FIREBALL,MN,7/20/1998 21:00 +Clearfield,,SPHERE,IA,7/20/1998 21:00 +Pembroke Pines,,TRIANGLE,FL,7/20/1998 21:00 +Canton,BLUE,FIREBALL,MI,7/20/1998 22:00 +Sun City,,FORMATION,CA,7/20/1998 22:00 +Mohrsville,,FORMATION,PA,7/21/1998 2:00 +Rochester,,OTHER,NY,7/21/1998 12:00 +Houston,,OTHER,TX,7/21/1998 21:00 +Leo,,LIGHT,IN,7/21/1998 21:45 +Napoleon,,,OH,7/21/1998 23:19 +Athens,,DISK,AL,7/22/1998 17:43 +"Hubbard,",,OTHER,OR,7/23/1998 0:00 +Fort Smith,,LIGHT,AR,7/23/1998 22:30 +Portland,,OTHER,ME,7/24/1998 1:40 +Tucson,,FIREBALL,AZ,7/24/1998 22:55 +Seely Lake,,LIGHT,MT,7/24/1998 23:30 +Baker,YELLOW GREEN,TEARDROP,CA,7/25/1998 2:30 +Tigard,,OVAL,OR,7/25/1998 16:30 +Jefferson,,OVAL,CO,7/25/1998 18:30 +Moscow Mills,GREEN,CIGAR,MO,7/25/1998 20:00 +Vancouver,,TRIANGLE,WA,7/25/1998 21:00 +Cascade Range,,LIGHT,OR,7/25/1998 22:00 +Tucson,GREEN,LIGHT,AZ,7/25/1998 22:00 +Erie,,LIGHT,PA,7/26/1998 0:30 +Portland,,CYLINDER,OR,7/26/1998 18:25 +Ballston Spa,GREEN BLUE,OVAL,NY,7/26/1998 21:30 +Corte Madera,,TRIANGLE,CA,7/26/1998 23:23 +I-84 exit about 1min off of highway.,,,CT,7/27/1998 0:49 +Southampton,,VARIOUS,NY,7/27/1998 3:00 +Charleston,GREEN,FIREBALL,WV,7/27/1998 4:40 +Castle Creek,,CIRCLE,NY,7/27/1998 21:13 +Yuma,,TRIANGLE,AZ,7/28/1998 1:30 +Omaha,,TRIANGLE,NE,7/28/1998 10:56 +Bristol,,DISK,VA,7/28/1998 18:10 +Bristol,,DISK,VA,7/28/1998 18:45 +Tulare,,RECTANGLE,CA,7/28/1998 22:00 +Aloha,,LIGHT,OR,7/29/1998 0:15 +St. Helen,RED,CIRCLE,MI,7/30/1998 22:00 +Auanga,,CIRCLE,CA,7/30/1998 23:45 +San Diego,,OTHER,CA,7/31/1998 0:00 +Las Vegas,,TRIANGLE,NV,7/31/1998 3:30 +Grass Valley,,LIGHT,CA,7/31/1998 4:00 +Binghamton,RED,SPHERE,NY,8/1/1998 0:00 +Pittsburgh,,TRIANGLE,PA,8/1/1998 0:00 +Provincetown,,LIGHT,MA,8/1/1998 0:00 +Excelsior Springs,BLUE,SPHERE,MO,8/1/1998 0:30 +Chicago,,LIGHT,IL,8/1/1998 3:00 +Fort Sill,,CYLINDER,OK,8/1/1998 14:00 +Howell,,,MI,8/1/1998 14:30 +Brigantine,ORANGE,LIGHT,NJ,8/1/1998 20:00 +St. Louis,,LIGHT,MO,8/1/1998 20:45 +Litchfield,,OTHER,IL,8/1/1998 21:00 +Big Sur,,CIGAR,CA,8/1/1998 22:30 +Lincoln,,LIGHT,NE,8/1/1998 22:30 +Minocqua,ORANGE,SPHERE,WI,8/1/1998 22:30 +Olean,ORANGE,LIGHT,NY,8/1/1998 22:30 +Albuquerque,,TRIANGLE,NM,8/1/1998 23:00 +Pierre,GREEN,,SD,8/1/1998 23:00 +Huntington Beach,,DISK,CA,8/2/1998 15:00 +Richmond,,SPHERE,VA,8/2/1998 23:30 +Salem,,VARIOUS,MA,8/3/1998 0:00 +Midland,,,SD,8/3/1998 0:30 +El Paso,,LIGHT,TX,8/3/1998 17:30 +El Paso,,FIREBALL,TX,8/3/1998 17:53 +Portland,BLUE,LIGHT,OR,8/3/1998 21:29 +Newton,,FORMATION,KS,8/5/1998 1:00 +East Machias,,LIGHT,ME,8/5/1998 21:00 +Grand Junction,RED BLUE,LIGHT,CO,8/5/1998 23:45 +Albany,,CONE,OR,8/6/1998 21:45 +Casa Grande,,TRIANGLE,AZ,8/7/1998 0:00 +Casa Grande,,TRIANGLE,AZ,8/7/1998 0:00 +Dickson City,,CHEVRON,PA,8/7/1998 14:00 +Lenoir City,,OTHER,TN,8/7/1998 19:00 +North Charleston,,,SC,8/8/1998 0:00 +Tacoma,,OTHER,WA,8/8/1998 9:30 +San Leandro,YELLOW,CHEVRON,CA,8/8/1998 20:00 +Chatsworth,YELLOW,CIRCLE,GA,8/8/1998 21:30 +Grayling,ORANGE,SPHERE,MI,8/9/1998 0:00 +Birkshire County,,VARIOUS,MA,8/9/1998 11:00 +Lompoc,,CIRCLE,CA,8/9/1998 23:20 +Big Pine,,LIGHT,CA,8/10/1998 1:00 +Albuquerque,,FIREBALL,NM,8/10/1998 6:00 +Otis,,SPHERE,OR,8/10/1998 15:00 +West. Simsbury,,OTHER,CT,8/10/1998 17:00 +Center Harbor,,LIGHT,NH,8/10/1998 21:30 +Sedona,,LIGHT,AZ,8/10/1998 21:30 +Seattle,,CIRCLE,WA,8/10/1998 21:40 +Harrisburg,,TRIANGLE,PA,8/10/1998 22:00 +Modesto,,TRIANGLE,CA,8/10/1998 22:00 +Trabuco,,LIGHT,CA,8/10/1998 22:00 +Georgetown,,VARIOUS,TX,8/10/1998 23:30 +Canby,,,OR,8/11/1998 0:00 +Mandan,,DISK,ND,8/11/1998 0:15 +Ettrick,RED,CIRCLE,WI,8/12/1998 0:30 +Cleveland,YELLOW,DIAMOND,OH,8/12/1998 3:15 +San Marcos,,OVAL,CA,8/12/1998 21:09 +Fair Lawn,,OVAL,NJ,8/12/1998 21:30 +Bothell,,DISK,WA,8/12/1998 22:24 +Midland,,DISK,TX,8/13/1998 0:00 +Tuskegee National Forest @ HWY 85,,DISK,AL,8/13/1998 1:00 +Lake Alpine,,SPHERE,CA,8/13/1998 2:00 +Hampton,,CIRCLE,NH,8/13/1998 3:00 +Belvidere,BLUE,FLASH,IL,8/13/1998 4:13 +Jeannette,,VARIOUS,PA,8/13/1998 10:10 +Plainview,BLUE,LIGHT,NY,8/13/1998 19:45 +New Riegel,,OTHER,OH,8/13/1998 21:43 +Coarsegold,RED,TRIANGLE,CA,8/13/1998 22:00 +Erie,,CIRCLE,PA,8/13/1998 22:30 +Blewett Pass-top of mountain pass,,LIGHT,WA,8/14/1998 0:00 +The Dalles,ORANGE,FIREBALL,OR,8/14/1998 3:15 +Burlington,,FIREBALL,ND,8/14/1998 16:00 +Seattle,,RECTANGLE,WA,8/14/1998 22:00 +Deshler,,RECTANGLE,OH,8/15/1998 0:00 +Stonewall,,,LA,8/15/1998 0:00 +Highlands Ranch,,FLASH,CO,8/15/1998 1:00 +Janesville,,LIGHT,WI,8/15/1998 1:30 +Logan,,TRIANGLE,UT,8/15/1998 2:00 +Perryville,,FIREBALL,MO,8/15/1998 11:00 +Everett,,OTHER,WA,8/15/1998 12:00 +Tracy,,CIRCLE,CA,8/15/1998 17:00 +San Fernando,,TRIANGLE,CA,8/15/1998 17:30 +Everett,,SPHERE,WA,8/15/1998 19:00 +Toledo,,,OH,8/15/1998 20:00 +Thomasville,,SPHERE,NC,8/15/1998 20:15 +Sterling,,,VA,8/15/1998 22:00 +Simi Valley,RED,LIGHT,CA,8/15/1998 22:15 +Seattle,,,WA,8/15/1998 22:30 +Pontiac,,LIGHT,MI,8/15/1998 22:45 +Annapolis,GREEN,TRIANGLE,MD,8/15/1998 23:00 +Crestline,,TRIANGLE,CA,8/15/1998 23:30 +New York City,,LIGHT,NY,8/15/1998 23:30 +San Juan Islands,,CIGAR,WA,8/16/1998 1:30 +Gridley,,FLASH,CA,8/16/1998 23:15 +El Dorado,,CIRCLE,KS,8/17/1998 8:00 +North Plains,,OVAL,OR,8/17/1998 14:10 +Beacon Falls,,LIGHT,CT,8/17/1998 21:00 +Friendswoods,,DIAMOND,TX,8/17/1998 21:50 +Darien,,TRIANGLE,NY,8/17/1998 22:30 +Dayton,,EGG,NV,8/18/1998 20:30 +Silverhill,,DISK,AL,8/18/1998 21:15 +Albuquerque,,LIGHT,NM,8/19/1998 0:00 +Dania,,DISK,FL,8/19/1998 10:00 +Flagstaff,,FIREBALL,AZ,8/19/1998 21:28 +Reno,,LIGHT,NV,8/19/1998 21:45 +Reno,,LIGHT,NV,8/19/1998 21:45 +Des Moines,,SPHERE,WA,8/19/1998 23:40 +San Antonio,ORANGE,FIREBALL,TX,8/20/1998 0:00 +Oxnard,,TRIANGLE,CA,8/20/1998 15:00 +Marysville,,TRIANGLE,WA,8/20/1998 19:00 +Rushville,ORANGE YELLOW,,IL,8/20/1998 22:00 +Gobles,,DISK,MI,8/20/1998 22:30 +Illwaco,,LIGHT,WA,8/20/1998 22:30 +Centreville,BLUE,SPHERE,VA,8/20/1998 23:30 +High Ridge,,FLASH,MO,8/20/1998 23:30 +Woodbridge,,TRIANGLE,VA,8/21/1998 3:00 +Torrance,,EGG,CA,8/21/1998 15:00 +Mt Sterling,,LIGHT,IL,8/21/1998 21:00 +Bishop,,RECTANGLE,CA,8/21/1998 22:30 +Salem,,CHEVRON,OR,8/21/1998 22:55 +Madera,,OTHER,CA,8/22/1998 2:00 +Osceola,ORANGE,LIGHT,IN,8/22/1998 8:50 +Telluride,,LIGHT,CO,8/22/1998 20:00 +Northglenn,,FIREBALL,CO,8/22/1998 22:20 +Xenia,YELLOW,,OH,8/22/1998 23:05 +Sparta,,,NC,8/22/1998 23:15 +East Hartford,,,CT,8/23/1998 5:00 +Houston,,LIGHT,TX,8/24/1998 6:15 +Albuquerque,,TRIANGLE,NM,8/24/1998 13:00 +Westfield,,TRIANGLE,MA,8/24/1998 20:45 +Landover,,DIAMOND,MD,8/24/1998 22:00 +Pebble Beach,,,CA,8/25/1998 2:00 +Sandpoint,,DISK,ID,8/25/1998 13:00 +Mariposa,GREEN,FIREBALL,CA,8/26/1998 22:00 +Waterford,GREEN,FIREBALL,MI,8/26/1998 23:00 +Oregon,ORANGE,FIREBALL,OH,8/27/1998 1:30 +Villa Nueva State Park,,CIGAR,NM,8/27/1998 23:00 +San Diego,YELLOW,SPHERE,CA,8/28/1998 2:15 +Minneapolis,,SPHERE,MN,8/28/1998 5:45 +Mobile,,LIGHT,AL,8/28/1998 5:45 +West Islip,,OTHER,NY,8/28/1998 19:00 +Mt. Vernon,BLUE,FIREBALL,OR,8/28/1998 22:25 +Frances,,FIREBALL,WA,8/28/1998 22:30 +San Francisco,,DIAMOND,CA,8/29/1998 17:00 +West Salem,,VARIOUS,OH,8/29/1998 21:30 +St. Augustine,GREEN,TRIANGLE,FL,8/30/1998 4:00 +Tucson,,,AZ,8/31/1998 22:00 +New York City,,OVAL,NY,9/1/1998 1:00 +Seaside,,TRIANGLE,OR,9/1/1998 1:00 +Leonardo,,DISK,NJ,9/1/1998 6:00 +Tolono,,CIRCLE,IL,9/1/1998 10:30 +Jonesville,,CIGAR,IL,9/1/1998 16:30 +Avoca,GREEN,TRIANGLE,PA,9/1/1998 19:30 +Thompson,RED,FORMATION,UT,9/1/1998 20:00 +Desert Center,,SPHERE,CA,9/1/1998 20:30 +Ft. Myers Beach,,TRIANGLE,FL,9/1/1998 22:00 +Snow Shoe,,CIGAR,PA,9/1/1998 22:00 +Cheyenne,,LIGHT,WY,9/2/1998 0:30 +Galesburg,,CIRCLE,IL,9/2/1998 6:00 +Schaumburg,,OVAL,IL,9/2/1998 21:00 +Juneau,,TRIANGLE,AK,9/2/1998 23:00 +Portland,,DISK,OR,9/2/1998 23:33 +Stanton,,LIGHT,CA,9/3/1998 2:00 +Crescent City,,FORMATION,CA,9/3/1998 3:00 +Rochester,,CIGAR,MN,9/3/1998 10:30 +Freeport,BLUE,SPHERE,NY,9/3/1998 23:38 +Cheyenne,,CIGAR,WY,9/4/1998 15:00 +Duarte,,LIGHT,CA,9/4/1998 20:20 +Blue River,,CYLINDER,OR,9/4/1998 20:45 +Hartsdale,,TRIANGLE,NY,9/4/1998 22:03 +"Mt. Rainier north side, near Cateract Valley",,LIGHT,WA,9/4/1998 22:30 +Charleston,,FIREBALL,SC,9/5/1998 2:00 +Kimball Twp.,GREEN,FIREBALL,MI,9/5/1998 21:30 +Medicine Bow Natl. Forest,,TRIANGLE,WY,9/5/1998 22:30 +Tyler,RED GREEN BLUE,SPHERE,TX,9/6/1998 1:05 +Bakersfield,,OTHER,CA,9/6/1998 18:51 +Cottonwood,RED,OTHER,AZ,9/6/1998 19:45 +Manashtash Ridge,,,WA,9/6/1998 20:00 +Kansas City,,DISK,KS,9/6/1998 21:20 +Idaho Falls,,OTHER,ID,9/6/1998 22:15 +Longmont,RED,LIGHT,CO,9/7/1998 0:45 +Fallon,,LIGHT,NV,9/7/1998 17:30 +Emory,,FIREBALL,TX,9/8/1998 21:30 +Tomah,,CYLINDER,WI,9/9/1998 1:25 +Horeshoe Bay,,CIRCLE,TX,9/10/1998 4:30 +Oceanside,,FIREBALL,CA,9/10/1998 7:15 +Poway,,FLASH,CA,9/10/1998 19:00 +Sophia,ORANGE BLUE,FIREBALL,NC,9/10/1998 19:00 +San Angelo,,FIREBALL,TX,9/10/1998 20:00 +St. Charles,,CIGAR,MO,9/10/1998 21:00 +Buena Vista,,VARIOUS,CO,9/10/1998 22:45 +Roswell,,DIAMOND,NM,9/11/1998 0:00 +Portland,,LIGHT,OR,9/12/1998 4:45 +Corpus Christi,RED,SPHERE,TX,9/12/1998 9:00 +Lolo,,DISK,MT,9/12/1998 10:30 +Mt. Baker,,OVAL,WA,9/12/1998 10:30 +Harris Ranch,,DIAMOND,CA,9/12/1998 16:00 +Shalimar,RED,FIREBALL,FL,9/12/1998 18:00 +Danville,,FIREBALL,CA,9/12/1998 18:15 +Sheridan,RED YELLOW GREEN BLUE,TRIANGLE,OR,9/12/1998 20:30 +Woodinville,GREEN,LIGHT,WA,9/13/1998 0:00 +Gainesville,,OTHER,GA,9/13/1998 18:00 +Grants Pass,GREEN,FIREBALL,OR,9/13/1998 21:00 +Weed,BLUE,FIREBALL,CA,9/13/1998 21:20 +Boulder,,OTHER,CO,9/13/1998 22:10 +Bradenton,ORANGE,OTHER,FL,9/13/1998 23:10 +Niagara Falls,GREEN,FLASH,NY,9/14/1998 0:00 +Randle,,CIGAR,WA,9/14/1998 12:00 +Okanogan,RED GREEN BLUE,,WA,9/14/1998 19:27 +Grand Island,,SPHERE,NY,9/14/1998 21:30 +"Hudson Valley, NY",,FIREBALL,CT,9/14/1998 22:00 +Salt Lake City,,SPHERE,UT,9/15/1998 4:00 +Salt Lake City,,SPHERE,UT,9/15/1998 4:00 +Edmond,,CYLINDER,OK,9/15/1998 12:00 +Jamestown,,EGG,NY,9/15/1998 12:00 +Seattle,ORANGE,OTHER,WA,9/15/1998 18:00 +Varysburg,RED,SPHERE,NY,9/15/1998 18:00 +New York City,,TRIANGLE,NY,9/15/1998 18:30 +Lubbock,,OTHER,TX,9/15/1998 20:00 +Pasadena,,FIREBALL,CA,9/15/1998 20:00 +Hodgkins,,SPHERE,IL,9/15/1998 20:15 +Anna,,LIGHT,IL,9/15/1998 21:00 +Bethel,,EGG,CT,9/15/1998 21:00 +Ft. Fairfield,,LIGHT,ME,9/15/1998 21:00 +Grimsby,,,VA,9/15/1998 21:00 +Gladwin,,,MI,9/15/1998 22:00 +Melbourne Beach,GREEN,CIRCLE,FL,9/15/1998 22:00 +Escondido,ORANGE BLUE,VARIOUS,CA,9/15/1998 22:30 +Auke Bay,RED BLUE,LIGHT,AK,9/15/1998 23:00 +Puyallup,,FIREBALL,WA,9/15/1998 23:00 +Auke Bay,RED GREEN,LIGHT,AK,9/15/1998 23:30 +San Diego,,LIGHT,CA,9/16/1998 21:30 +Ramona,ORANGE,SPHERE,CA,9/17/1998 18:30 +Mokena,,DISK,IL,9/17/1998 21:35 +Cozad,,VARIOUS,NE,9/18/1998 1:45 +Ashland,,OVAL,KY,9/18/1998 19:00 +Diamond Bar,,OVAL,CA,9/18/1998 21:00 +Del Mar,GREEN,FIREBALL,CA,9/18/1998 21:30 +Salt Lake City,,TRIANGLE,UT,9/18/1998 22:25 +Castaic,GREEN,FIREBALL,CA,9/18/1998 23:51 +Boulder City,BLUE,TRIANGLE,NV,9/19/1998 0:00 +Scottsdale,RED GREEN,DISK,AZ,9/19/1998 21:00 +Seattle,,DISK,WA,9/19/1998 21:00 +Seattle,,EGG,WA,9/19/1998 21:30 +Las Vegas,GREEN,OTHER,NV,9/20/1998 5:50 +Tolono,,CIRCLE,IL,9/20/1998 10:30 +Tukwila,,SPHERE,WA,9/20/1998 14:00 +Centreville,,LIGHT,VA,9/20/1998 22:00 +Spanaway,,,WA,9/20/1998 22:18 +Rosemead,,DISK,CA,9/20/1998 22:20 +Bothell,,CIRCLE,WA,9/20/1998 22:30 +Bodie,,SPHERE,CA,9/21/1998 15:00 +Bakersfield,,VARIOUS,CA,9/21/1998 17:10 +Redding,RED GREEN,LIGHT,CA,9/21/1998 19:00 +Sedona,,OTHER,AZ,9/21/1998 19:25 +Sedona,,OVAL,AZ,9/21/1998 19:40 +Bermuda Dunes,,FORMATION,CA,9/21/1998 20:00 +Austin,,TRIANGLE,TX,9/22/1998 0:10 +Westland,,TRIANGLE,MI,9/22/1998 0:10 +Big Lake,GREEN,LIGHT,AK,9/22/1998 3:00 +Colorado Springs,BLUE,FIREBALL,CO,9/22/1998 4:45 +Portsmouth,,EGG,RI,9/22/1998 16:18 +Poway,,CYLINDER,CA,9/22/1998 17:00 +Fargo,,TRIANGLE,ND,9/22/1998 20:00 +Eugene,,,OR,9/22/1998 21:06 +Doylestown,,OTHER,PA,9/22/1998 21:30 +New Berlin,,CHEVRON,WI,9/22/1998 21:30 +Cedar Crest,,FIREBALL,NM,9/22/1998 22:00 +Highlands Ranch,,OTHER,CO,9/22/1998 23:15 +Ladson,,SPHERE,SC,9/22/1998 23:55 +Adrian,GREEN BLUE,FIREBALL,MI,9/23/1998 0:00 +Deerhorn Valley,GREEN,LIGHT,CA,9/23/1998 0:00 +San Fernando Valley,BLUE,OTHER,CA,9/23/1998 0:00 +Plymouth,,CIRCLE,WI,9/23/1998 0:45 +Bellevue,,FIREBALL,WA,9/23/1998 2:40 +Los Angeles,,CHEVRON,CA,9/23/1998 4:00 +Schenectady,GREEN,SPHERE,NY,9/23/1998 4:50 +Bedford,,DISK,VA,9/23/1998 9:30 +Anson,,FIREBALL,TX,9/23/1998 10:30 +Westborough,,SPHERE,MA,9/23/1998 13:59 +Portland,GREEN,OTHER,OR,9/23/1998 18:35 +Salem,BLUE,SPHERE,OR,9/23/1998 20:11 +Hollywood,GREEN,FIREBALL,CA,9/23/1998 20:55 +Austin,RED YELLOW GREEN,DISK,TX,9/23/1998 21:00 +Everett,GREEN,FIREBALL,WA,9/23/1998 21:00 +Houston,,FIREBALL,TX,9/23/1998 21:00 +Winston,GREEN,LIGHT,OR,9/23/1998 21:00 +Winston,GREEN,TEARDROP,OR,9/23/1998 21:00 +Enumclaw,GREEN,OTHER,WA,9/23/1998 21:05 +Fort Worth,,FIREBALL,TX,9/23/1998 21:05 +Bayview,,FIREBALL,WA,9/23/1998 21:10 +Bothell,GREEN,FIREBALL,WA,9/23/1998 21:10 +Bothell,,LIGHT,WA,9/23/1998 21:10 +Poulsbo,YELLOW,FIREBALL,WA,9/23/1998 21:10 +Scottsdale,,FIREBALL,AZ,9/23/1998 21:10 +Seattle,GREEN,FIREBALL,WA,9/23/1998 21:10 +Tacoma,GREEN,FIREBALL,WA,9/23/1998 21:10 +Vancouver,,FIREBALL,WA,9/23/1998 21:10 +Everett,GREEN,FIREBALL,WA,9/23/1998 21:11 +Kent,BLUE,OVAL,WA,9/23/1998 21:15 +Poway,RED GREEN BLUE,FIREBALL,CA,9/23/1998 21:15 +Renton,,FIREBALL,WA,9/23/1998 21:20 +Browns Valley,ORANGE GREEN,SPHERE,CA,9/23/1998 21:35 +Houston,,FIREBALL,TX,9/23/1998 21:45 +Castaic,GREEN BLUE,CIGAR,CA,9/23/1998 22:45 +Puyallup,GREEN,OTHER,WA,9/23/1998 22:49 +Bellevue,,FIREBALL,WA,9/23/1998 22:50 +Mukilteo,,LIGHT,WA,9/23/1998 23:10 +Rochester,,SPHERE,NY,9/23/1998 23:20 +Sheridan,,OTHER,WY,9/24/1998 0:15 +Bowling Green,,FLASH,OH,9/24/1998 1:30 +Harrisburg,RED GREEN,FIREBALL,PA,9/24/1998 1:30 +Longmont,,DISK,CO,9/24/1998 20:15 +Huntington Beach,GREEN,FIREBALL,CA,9/24/1998 22:00 +Modesto,GREEN,LIGHT,CA,9/24/1998 22:15 +New York City,RED,FIREBALL,NY,9/24/1998 22:30 +North Pole,ORANGE,SPHERE,AK,9/24/1998 22:35 +Wyola,,DISK,MT,9/24/1998 23:59 +Marysville,,DISK,OH,9/25/1998 0:00 +Milwaukee,,OVAL,WI,9/25/1998 0:40 +Sunrise Beach,,DISK,TX,9/25/1998 4:40 +Memphis,,FLASH,TN,9/25/1998 5:41 +Fire Island Pines,,CYLINDER,NY,9/25/1998 12:15 +Acampo,ORANGE,TEARDROP,CA,9/25/1998 20:00 +Monroe,GREEN,FIREBALL,WA,9/25/1998 21:25 +Silverdale,GREEN,FIREBALL,WA,9/25/1998 21:25 +Fort Lewis,,FIREBALL,WA,9/25/1998 21:35 +Bellevue,,RECTANGLE,WA,9/25/1998 23:00 +Bosque Farms,,,NM,9/25/1998 23:00 +San Diego North County,GREEN,SPHERE,CA,9/25/1998 23:40 +Bishop,,FIREBALL,CA,9/26/1998 0:00 +Roslyn,,FORMATION,WA,9/26/1998 0:00 +Warwick,,CIRCLE,RI,9/26/1998 0:00 +Phoenix,GREEN,SPHERE,AZ,9/26/1998 1:00 +Grand Mound,,OTHER,IA,9/26/1998 2:25 +Rock Springs,GREEN,FIREBALL,WY,9/26/1998 3:05 +Mt. Vernon,,OVAL,NY,9/26/1998 9:30 +Pleasant Hill,,LIGHT,CA,9/26/1998 12:30 +Castle Peak Summit,ORANGE,DISK,CA,9/26/1998 13:00 +Lochbuie,,OTHER,CO,9/26/1998 19:03 +Littleton,GREEN,OTHER,CO,9/26/1998 20:15 +Athens,,CIRCLE,GA,9/26/1998 21:45 +San Jose,,FORMATION,CA,9/26/1998 22:30 +Fort Collins,RED,TRIANGLE,CO,9/26/1998 23:00 +Steilacoom,BLUE,FIREBALL,WA,9/26/1998 23:30 +Redmond,YELLOW,CIRCLE,WA,9/27/1998 0:00 +Mesquite,,TRIANGLE,TX,9/27/1998 1:15 +Johnson Creek,,SPHERE,WI,9/27/1998 16:15 +Burien,,TRIANGLE,WA,9/27/1998 23:35 +Austin,,TRIANGLE,TX,9/28/1998 4:35 +Cincinnati,,FIREBALL,OH,9/28/1998 4:39 +Crystal Falls,,LIGHT,MI,9/28/1998 14:30 +Everett,,,WA,9/28/1998 16:00 +Agawam,,OVAL,MA,9/28/1998 20:00 +Fair Lawn,,TRIANGLE,NJ,9/28/1998 21:30 +Mesa,RED,TRIANGLE,AZ,9/28/1998 21:30 +Arlington,,FORMATION,TX,9/29/1998 6:15 +Yuma,GREEN,FIREBALL,AZ,9/29/1998 18:44 +Wauconda,,FIREBALL,WA,9/29/1998 19:25 +Rochester,ORANGE,FIREBALL,NY,9/29/1998 20:15 +Tucson,,LIGHT,AZ,9/30/1998 1:00 +Herman,,TRIANGLE,MO,9/30/1998 21:00 +Logan,,TRIANGLE,UT,10/1/1998 0:00 +Portland,GREEN,LIGHT,OR,10/1/1998 0:10 +St. Paul,,FIREBALL,OR,10/1/1998 1:30 +Nisqually,,DISK,WA,10/1/1998 2:00 +Rio Rancho,,FIREBALL,NM,10/1/1998 4:30 +Bayfield,,LIGHT,CO,10/1/1998 5:30 +Chicora,RED GREEN,DISK,PA,10/1/1998 8:00 +San Francisco,,SPHERE,CA,10/1/1998 10:00 +Elgin,BLUE,DISK,IL,10/1/1998 13:30 +Del Mar,,FIREBALL,CA,10/1/1998 16:00 +La Jolla,ORANGE,FIREBALL,CA,10/1/1998 18:50 +Manchester,,OVAL,NH,10/1/1998 18:56 +Clarinda,,TRIANGLE,IA,10/1/1998 21:00 +Mt Sterling,ORANGE,FORMATION,IL,10/1/1998 21:02 +Ipava,,TRIANGLE,IL,10/1/1998 21:15 +Moundsville,,TRIANGLE,WV,10/1/1998 22:30 +Mosinee,,OTHER,WI,10/1/1998 23:10 +Sedona,,FIREBALL,AZ,10/2/1998 9:20 +El Monte,,CIRCLE,CA,10/2/1998 9:30 +Decator,,TRIANGLE,TX,10/2/1998 12:40 +Bettendorf,BLUE,LIGHT,IA,10/2/1998 19:55 +Key West,,VARIOUS,FL,10/3/1998 1:00 +Carbondale,,VARIOUS,IL,10/3/1998 14:30 +Albuquerque,,,NM,10/4/1998 2:45 +Suquamish,,FLASH,WA,10/4/1998 4:37 +Walla Walla,GREEN,FIREBALL,WA,10/4/1998 4:37 +Aberdeen,,FIREBALL,WA,10/4/1998 4:42 +Yamhill,BLUE,FIREBALL,OR,10/4/1998 4:45 +Columbia River { mile marker 230},GREEN,FIREBALL,WA,10/4/1998 5:00 +Charleston,,FIREBALL,SC,10/4/1998 21:00 +Charleston,BLUE,FIREBALL,SC,10/4/1998 21:00 +Charleston,RED ORANGE GREEN,FIREBALL,SC,10/4/1998 21:00 +Gold Canyon,,OVAL,AZ,10/4/1998 21:00 +James Island,,FIREBALL,SC,10/4/1998 21:00 +Savannah,,FIREBALL,GA,10/4/1998 21:00 +Charleston,,FLASH,SC,10/4/1998 21:10 +Goat Island,,FIREBALL,SC,10/4/1998 21:15 +Belmont,,CIRCLE,NY,10/4/1998 23:00 +Dana Point,GREEN,FIREBALL,CA,10/5/1998 20:00 +Houston,,FORMATION,TX,10/5/1998 20:55 +Mission Hills,,SPHERE,CA,10/5/1998 21:30 +Newhall,GREEN,SPHERE,CA,10/5/1998 23:29 +Vass,GREEN,CIRCLE,NC,10/6/1998 2:00 +Denver,RED,FIREBALL,CO,10/6/1998 19:05 +Bellevue,,,WA,10/6/1998 20:05 +Cream Ridge,,TRIANGLE,NJ,10/6/1998 20:45 +Miami,YELLOW,LIGHT,FL,10/7/1998 2:30 +Gonzales,,TRIANGLE,LA,10/7/1998 22:05 +Barrington,,DIAMOND,NJ,10/8/1998 19:00 +Fort Collins,,OTHER,CO,10/8/1998 21:00 +Austin,,TRIANGLE,TX,10/8/1998 21:12 +Sonora,RED,LIGHT,CA,10/8/1998 22:33 +Noblesville,,VARIOUS,IN,10/9/1998 16:00 +Pikeville,RED,DISK,NC,10/9/1998 17:50 +Oakland,,FIREBALL,CA,10/9/1998 19:40 +Richmond,,DISK,KY,10/9/1998 22:00 +Hollywood,,VARIOUS,CA,10/10/1998 2:30 +Phoenix,GREEN,FIREBALL,AZ,10/10/1998 3:30 +Elgin,,CYLINDER,IL,10/10/1998 13:15 +Las Vegas,,CIGAR,NV,10/10/1998 17:30 +Las Vegas,,CIRCLE,NV,10/10/1998 17:30 +NYC,,TRIANGLE,NY,10/10/1998 20:30 +Spokane,,TRIANGLE,WA,10/10/1998 20:30 +Mooresville,,LIGHT,NC,10/10/1998 20:50 +Delano,,FIREBALL,TN,10/10/1998 23:50 +Montara,,OTHER,CA,10/11/1998 2:15 +Mount Carmel,,LIGHT,TN,10/11/1998 14:30 +Highland,RED YELLOW GREEN,SPHERE,IN,10/11/1998 20:30 +Highland,RED YELLOW GREEN,SPHERE,IN,10/11/1998 20:30 +Bar Harbor,GREEN,SPHERE,ME,10/11/1998 22:40 +Elk Grove,BLUE,FIREBALL,CA,10/11/1998 22:45 +Miami Twp.,,OTHER,OH,10/12/1998 2:00 +Lincoln,,EGG,NE,10/12/1998 4:00 +Murray,RED,LIGHT,UT,10/12/1998 7:00 +Asheville,RED,FIREBALL,NC,10/12/1998 19:00 +Asheville,,LIGHT,NC,10/12/1998 19:00 +Heron State Park,,VARIOUS,NM,10/13/1998 2:30 +Painesville twp,,OVAL,OH,10/13/1998 6:00 +Otis,,OTHER,OR,10/14/1998 19:55 +Overton,,FIREBALL,NV,10/14/1998 19:55 +Tucson,,OVAL,AZ,10/14/1998 22:00 +Azuza,,TRIANGLE,CA,10/15/1998 0:00 +Red Bank,,FLASH,SC,10/15/1998 1:00 +Round Rock,ORANGE,EGG,TX,10/15/1998 1:30 +Houston,,FIREBALL,TX,10/15/1998 6:35 +Knoxville,,CYLINDER,TN,10/15/1998 14:00 +New Albany,,VARIOUS,IN,10/15/1998 15:30 +Winston-Salem,,SPHERE,NC,10/15/1998 16:01 +Glenwood,,DISK,AR,10/15/1998 18:00 +Warwick,,OTHER,RI,10/15/1998 18:00 +Asheville,,LIGHT,NC,10/15/1998 19:00 +Tyson's Corner,BLUE,FIREBALL,VA,10/15/1998 19:48 +Fort Lawn,ORANGE,LIGHT,SC,10/15/1998 20:00 +Enterprise,,TRIANGLE,AL,10/15/1998 21:00 +Laguna Niguel,ORANGE,,CA,10/15/1998 21:15 +Westlake,,LIGHT,OH,10/15/1998 21:15 +Hinton,,LIGHT,WV,10/15/1998 22:00 +Dublin,,DIAMOND,IN,10/15/1998 22:30 +Port Washington,,TRIANGLE,WI,10/15/1998 22:35 +Dallas,,DISK,TX,10/15/1998 23:00 +Ronan,,DISK,MT,10/16/1998 0:00 +Sacramento,,TRIANGLE,CA,10/16/1998 11:40 +Las Vegas,,CONE,NV,10/16/1998 12:30 +Baker,,VARIOUS,CA,10/16/1998 16:30 +San Francisco,,LIGHT,CA,10/16/1998 19:00 +Breckenridge,RED ORANGE,OTHER,TX,10/16/1998 20:00 +Middletown,,,CT,10/16/1998 20:00 +Salem,,LIGHT,OR,10/16/1998 21:30 +Carbondale,GREEN,SPHERE,IL,10/16/1998 21:55 +Oxnard,GREEN,FLASH,CA,10/17/1998 1:30 +Lake Stevens,,LIGHT,WA,10/17/1998 3:38 +Bridgewater,,OTHER,SD,10/17/1998 11:30 +Apple Valley,,SPHERE,CA,10/17/1998 15:00 +Pensacola Beach,,FIREBALL,FL,10/17/1998 16:00 +Duluth,,OTHER,GA,10/17/1998 19:00 +The Dalles,,SPHERE,OR,10/18/1998 0:01 +Bettendorf,,SPHERE,IA,10/18/1998 4:30 +Jacksonville,,LIGHT,IL,10/18/1998 9:30 +Germantown,,LIGHT,TN,10/18/1998 18:00 +Sandy Valley,,LIGHT,NE,10/18/1998 18:00 +Portland,GREEN,FIREBALL,OR,10/18/1998 23:54 +Vernal,,,UT,10/19/1998 0:34 +Las Vegas,GREEN,SPHERE,NV,10/19/1998 1:30 +Vancouver,GREEN,LIGHT,WA,10/19/1998 12:42 +Big Arm,,DISK,MT,10/19/1998 16:30 +Virginia Beach,,FIREBALL,VA,10/19/1998 18:00 +Defiance,BLUE,TRIANGLE,OH,10/19/1998 21:30 +Deweyville,GREEN,SPHERE,UT,10/19/1998 21:35 +Georgia,RED,TRIANGLE,GA,10/19/1998 21:45 +Tampa,,CIRCLE,FL,10/19/1998 21:45 +Antwerp,,TRIANGLE,OH,10/19/1998 22:30 +Bowling Green,,,KY,10/20/1998 0:00 +Lewiston,,FORMATION,ME,10/20/1998 2:00 +Corunna,,VARIOUS,MI,10/20/1998 11:30 +Spokane,,SPHERE,WA,10/20/1998 17:30 +Moorpark,,OVAL,CA,10/20/1998 18:00 +Avon,,CHEVRON,NC,10/20/1998 20:30 +Huntsville,,TRIANGLE,AL,10/20/1998 22:00 +Campbell,,OTHER,CA,10/21/1998 1:30 +Columbia,ORANGE,FORMATION,TN,10/21/1998 22:42 +Silverlake,,LIGHT,WA,10/22/1998 2:40 +Rupert,,SPHERE,ID,10/22/1998 3:30 +Cincy,,LIGHT,OH,10/22/1998 18:30 +Kenton,,DISK,OH,10/22/1998 18:40 +Newtown Square,,OVAL,PA,10/22/1998 23:40 +Chicago,,TEARDROP,IL,10/23/1998 0:00 +Cave Creek,,LIGHT,AZ,10/23/1998 16:30 +New Berlin,,DISK,WI,10/23/1998 17:00 +Marysville,BLUE,FIREBALL,WA,10/23/1998 18:00 +Seattle,GREEN BLUE,FIREBALL,WA,10/23/1998 18:04 +Vancouver,,OTHER,WA,10/23/1998 18:30 +Humeston,,CIRCLE,IA,10/23/1998 19:00 +Alexandria,,FIREBALL,LA,10/23/1998 21:45 +Westcliff,,CIRCLE,CO,10/24/1998 13:30 +Wilmington,,LIGHT,NC,10/24/1998 17:00 +Wilmington,,SPHERE,NC,10/24/1998 17:00 +Milwaukee,ORANGE,LIGHT,WI,10/24/1998 20:15 +Tacoma,,LIGHT,WA,10/24/1998 22:00 +Delray Beach,,TRIANGLE,FL,10/24/1998 23:15 +Pell City,,SPHERE,AL,10/25/1998 0:00 +Denver,,LIGHT,CO,10/25/1998 16:20 +State College,,DISK,PA,10/25/1998 18:30 +Vallejo,,TRIANGLE,CA,10/25/1998 19:30 +Perrine,,FORMATION,FL,10/25/1998 20:25 +Pocatello,,LIGHT,ID,10/25/1998 21:20 +Spencer,GREEN BLUE,FIREBALL,IA,10/26/1998 0:00 +Vancouver,,FIREBALL,WA,10/26/1998 0:00 +Marina del Rey,,,CA,10/26/1998 0:30 +Kaufman,,LIGHT,TX,10/26/1998 3:23 +Pewaukee,GREEN BLUE,FIREBALL,WI,10/26/1998 4:50 +Cleburne,RED,LIGHT,TX,10/26/1998 7:00 +Redding,,CIRCLE,CA,10/26/1998 17:00 +Redding,,OVAL,CA,10/26/1998 17:00 +,RED,FIREBALL,WA,10/26/1998 17:58 +Corfu,,TRIANGLE,NY,10/26/1998 18:05 +Seattle,,FIREBALL,WA,10/26/1998 18:15 +Tumwater,BLUE,FIREBALL,WA,10/26/1998 18:18 +La Veta,ORANGE,TRIANGLE,CO,10/26/1998 19:23 +Roseville,RED,FIREBALL,CA,10/26/1998 21:50 +Scottsdale,,OTHER,AZ,10/26/1998 23:14 +Newport,,CIRCLE,TN,10/27/1998 3:32 +Pageland,,LIGHT,SC,10/28/1998 1:00 +Spokane,,FIREBALL,WA,10/28/1998 1:38 +Polson,,DISK,MT,10/28/1998 3:00 +Detroit,,CIRCLE,MI,10/28/1998 10:30 +Louisville,,FORMATION,KY,10/28/1998 20:00 +observer enroute on MN hwy 61 north,GREEN,SPHERE,MN,10/28/1998 20:35 +Big Rapids,,FIREBALL,MI,10/28/1998 21:30 +Amarillo,YELLOW,CHEVRON,TX,10/28/1998 22:00 +Sherwood,,OTHER,AR,10/28/1998 23:10 +Chicago,RED BLUE,OVAL,IL,10/28/1998 23:50 +Danialson,BLUE,OTHER,CT,10/29/1998 0:01 +Lihue,GREEN,OTHER,HI,10/29/1998 3:00 +Grand Rapids,GREEN,FIREBALL,MI,10/29/1998 3:30 +Dublin,,CIRCLE,CA,10/29/1998 6:30 +Missoula,,LIGHT,MT,10/29/1998 7:00 +Yuba City,GREEN BLUE,FIREBALL,CA,10/29/1998 9:35 +Los Alamos,,,NM,10/29/1998 18:45 +Nashville,,OTHER,TN,10/29/1998 19:00 +Lahaina,,SPHERE,HI,10/29/1998 19:45 +Caldwell,,LIGHT,ID,10/29/1998 20:30 +Kirtland,,CHEVRON,OH,10/30/1998 20:00 +Anchorage,,CIRCLE,AK,10/31/1998 10:00 +Interstate 80,,LIGHT,OH,10/31/1998 19:00 +Missoula,,VARIOUS,MT,10/31/1998 19:00 +Kalamazoo,BLUE,FIREBALL,MI,11/1/1998 0:00 +Big Rapids,GREEN,FIREBALL,MI,11/1/1998 1:30 +Joelton,,OTHER,TN,11/1/1998 1:30 +Anderson,,CYLINDER,IN,11/1/1998 10:00 +Fort Hood,,CIRCLE,TX,11/1/1998 13:00 +Fort Worth,,LIGHT,TX,11/1/1998 15:00 +Phoenix,,CROSS,AZ,11/1/1998 16:30 +Great Cacapon,,TRIANGLE,WV,11/1/1998 17:00 +Skippers,,TRIANGLE,VA,11/1/1998 20:30 +Bailey,BLUE,FIREBALL,CO,11/1/1998 22:00 +West Bend,,LIGHT,WI,11/1/1998 23:59 +Grand Rapids,,FIREBALL,MI,11/2/1998 3:45 +Dallas,,FIREBALL,TX,11/2/1998 23:20 +Baton Rouge,ORANGE GREEN,FIREBALL,LA,11/3/1998 5:00 +Aurora,,,CO,11/3/1998 14:30 +Ogunquit,,SPHERE,ME,11/3/1998 20:13 +Mesa,ORANGE YELLOW,FIREBALL,AZ,11/3/1998 21:00 +Belmont,YELLOW GREEN,LIGHT,CA,11/3/1998 21:58 +Albuquerque,,OVAL,NM,11/4/1998 15:30 +Plymouth,GREEN,FIREBALL,MN,11/4/1998 20:30 +Novato,GREEN,FIREBALL,CA,11/4/1998 22:32 +Punta Gorda,,TRIANGLE,FL,11/5/1998 2:00 +Van Nuys,GREEN,SPHERE,CA,11/5/1998 18:12 +Burbank,,FIREBALL,CA,11/5/1998 18:15 +Burien,BLUE,FLASH,WA,11/5/1998 23:24 +Bothell,,OVAL,WA,11/6/1998 7:00 +Bothell,,CYLINDER,WA,11/6/1998 7:10 +Bend,,FORMATION,OR,11/6/1998 17:55 +Monroe,,CYLINDER,WA,11/6/1998 18:30 +Kingman,,FIREBALL,AZ,11/6/1998 21:15 +Barstow,,FIREBALL,CA,11/6/1998 22:00 +Chandler,GREEN,FIREBALL,AZ,11/7/1998 0:33 +Wanaque,,FIREBALL,NJ,11/7/1998 2:30 +Fullerton,,VARIOUS,CA,11/7/1998 17:30 +Cleveland,GREEN,LIGHT,GA,11/7/1998 20:44 +Sweetwater,,VARIOUS,TX,11/7/1998 21:30 +Isle of Palms,ORANGE,CONE,SC,11/7/1998 21:50 +Salt Lake City,BLUE,FIREBALL,UT,11/8/1998 13:07 +Los Angeles,,FIREBALL,CA,11/8/1998 22:30 +Peabody,,FIREBALL,MA,11/9/1998 1:00 +Pacifica,GREEN,LIGHT,CA,11/9/1998 20:00 +Arlington,,OTHER,TX,11/9/1998 22:00 +Roseville,,LIGHT,CA,11/9/1998 23:35 +Chicago,GREEN,SPHERE,IL,11/10/1998 0:00 +Maryland Height,,SPHERE,MO,11/10/1998 2:38 +Norman,,SPHERE,OK,11/10/1998 10:05 +Rancho Cucamonga,,DISK,CA,11/10/1998 11:38 +Overland Park,,DISK,KS,11/10/1998 18:30 +Federal Way,,EGG,WA,11/10/1998 18:48 +Fresno,,LIGHT,CA,11/10/1998 18:48 +DuBois,,FIREBALL,PA,11/10/1998 21:05 +Dayton,,FIREBALL,OH,11/11/1998 15:00 +Akron,ORANGE,FIREBALL,OH,11/11/1998 19:45 +Wheatridge,,TRIANGLE,CO,11/11/1998 20:23 +Bowling Green,,CIRCLE,KY,11/11/1998 21:45 +Oxford,,TRIANGLE,MS,11/11/1998 21:45 +Louisville,,CIRCLE,KY,11/12/1998 0:00 +Bend,,DISK,OR,11/12/1998 2:00 +Casper,,TRIANGLE,WY,11/12/1998 2:25 +John Day,ORANGE,FIREBALL,OR,11/12/1998 18:30 +Blaine,GREEN,FLASH,WA,11/12/1998 19:30 +Towanda,BLUE,TRIANGLE,PA,11/12/1998 21:00 +Waverly,GREEN,FIREBALL,NE,11/12/1998 21:00 +Lakewood,,TRIANGLE,CO,11/12/1998 21:30 +Lawton,,OTHER,OK,11/12/1998 22:40 +Maybrook,,,NY,11/13/1998 1:30 +Marion,,CYLINDER,IA,11/14/1998 13:30 +Denver,,LIGHT,CO,11/14/1998 17:24 +Mesa,BLUE,FLASH,AZ,11/14/1998 19:00 +Mattawa,,DISK,WA,11/14/1998 19:30 +Fenn,,FIREBALL,ID,11/14/1998 21:15 +Livonia,GREEN,FIREBALL,MI,11/14/1998 21:20 +Richland Center,,OTHER,WI,11/15/1998 0:00 +San Diego,GREEN,FIREBALL,CA,11/15/1998 0:15 +Windsor,,LIGHT,VA,11/15/1998 1:30 +I-35,,DISK,TX,11/15/1998 18:49 +Edison,,DISK,NJ,11/15/1998 20:00 +Madison,GREEN,LIGHT,WI,11/15/1998 20:00 +Wheat Ridge,,DIAMOND,CO,11/15/1998 20:30 +Cranston,,LIGHT,RI,11/15/1998 21:00 +Justice,,LIGHT,IL,11/15/1998 21:00 +Atlanta,,,GA,11/15/1998 22:00 +Camp Lejeune,,TRIANGLE,NC,11/15/1998 22:00 +Ellensburg,,FIREBALL,WA,11/15/1998 23:00 +Austin,,TRIANGLE,TX,11/16/1998 2:30 +Kirksville,RED,OTHER,MO,11/16/1998 2:30 +Las Vegas,GREEN,,NV,11/16/1998 4:45 +Belgrade,,CIRCLE,MO,11/16/1998 5:00 +Drumright,,FIREBALL,OK,11/16/1998 5:11 +Austin,,FIREBALL,TX,11/16/1998 6:40 +Darien,,OTHER,WI,11/16/1998 18:00 +Baraboo,,TRIANGLE,WI,11/16/1998 21:00 +Pittsburgh,,OTHER,PA,11/16/1998 21:00 +Las Vegas,,FIREBALL,NV,11/16/1998 21:30 +Greeley,,TRIANGLE,CO,11/16/1998 22:11 +Auburn,ORANGE,LIGHT,WA,11/16/1998 22:40 +Austin,,,TX,11/16/1998 23:00 +Kansas City,ORANGE,OTHER,KS,11/16/1998 23:41 +Alva,,TRIANGLE,OK,11/17/1998 1:30 +Joshua Tree National Park,,SPHERE,CA,11/17/1998 1:30 +Manitowoc Rapids,,FIREBALL,WI,11/17/1998 2:00 +Joshua Tree National Park,,LIGHT,CA,11/17/1998 4:00 +South Lake Tahoe,,DISK,CA,11/17/1998 4:30 +Tampa,,TRIANGLE,FL,11/17/1998 4:30 +Sacramento,,CIRCLE,CA,11/17/1998 4:35 +Davenport,,TRIANGLE,IA,11/17/1998 5:00 +Gila Bend,,FLASH,AZ,11/17/1998 5:50 +Port Charlotte,,FIREBALL,FL,11/17/1998 17:35 +Chico,,TRIANGLE,CA,11/17/1998 18:30 +Los Banos,,LIGHT,CA,11/17/1998 19:00 +Sherwood,,TRIANGLE,AR,11/17/1998 19:25 +Little Rock,,CIRCLE,AR,11/17/1998 19:50 +Cleveland,,EGG,OH,11/17/1998 21:00 +Knoxville,,FORMATION,TN,11/17/1998 21:03 +Goodyear,YELLOW,LIGHT,AZ,11/17/1998 21:30 +Port Orange,,TRIANGLE,FL,11/17/1998 21:30 +Morristown,RED GREEN BLUE,VARIOUS,TN,11/17/1998 23:30 +Tavares,,OTHER,FL,11/17/1998 23:55 +Gainesville,,TRIANGLE,FL,11/18/1998 0:00 +New Kent,,TRIANGLE,VA,11/18/1998 1:40 +North Little Rock,,TRIANGLE,AR,11/18/1998 1:55 +Kodiak,,LIGHT,AK,11/18/1998 18:00 +Dunns Mills,,DISK,NJ,11/18/1998 21:15 +New York City,,CIRCLE,NY,11/19/1998 3:00 +Montverde,,OVAL,FL,11/19/1998 7:00 +Auburn,,SPHERE,CA,11/19/1998 15:45 +Phoenix,ORANGE,LIGHT,AZ,11/19/1998 21:00 +Surprise,,FORMATION,AZ,11/19/1998 21:30 +Phoenix,YELLOW,LIGHT,AZ,11/19/1998 22:15 +Brentwood,ORANGE GREEN,FIREBALL,CA,11/20/1998 1:30 +Spokane,,TRIANGLE,WA,11/20/1998 3:30 +Irvine,,OVAL,CA,11/20/1998 11:45 +Moline,GREEN,FIREBALL,IL,11/20/1998 19:30 +Aurora,,TRIANGLE,CO,11/20/1998 20:00 +Seattle,RED GREEN BLUE,FLASH,WA,11/20/1998 22:25 +Hampton,,TRIANGLE,TN,11/20/1998 22:30 +Harrison,,SPHERE,MI,11/21/1998 15:00 +Helena,,CIRCLE,AR,11/21/1998 20:45 +Avon,ORANGE,LIGHT,NC,11/21/1998 22:00 +Boise,,DISK,ID,11/22/1998 18:30 +West Palm Beach,,OTHER,FL,11/22/1998 19:00 +Cheney,,SPHERE,WA,11/22/1998 19:32 +Vashon Island,,OTHER,WA,11/22/1998 20:00 +Coon Rapids,,OVAL,MN,11/23/1998 18:05 +Sycamore,,TRIANGLE,IL,11/23/1998 19:00 +Hartford,,CIRCLE,CT,11/23/1998 20:08 +Battle Ground,,LIGHT,WA,11/23/1998 20:30 +Carbondale,,VARIOUS,IL,11/23/1998 22:30 +Tulsa,RED BLUE,,OK,11/23/1998 22:45 +Sandpoint,,LIGHT,ID,11/24/1998 1:30 +Alton Bay,,LIGHT,NH,11/24/1998 5:00 +Calhoun,,,GA,11/24/1998 5:05 +Valdosta,RED,CIRCLE,GA,11/24/1998 18:25 +Kenton,,FORMATION,OH,11/24/1998 19:15 +Kenton,,FORMATION,OH,11/24/1998 19:30 +Ashland,,TRIANGLE,OH,11/24/1998 21:00 +Mechanicsburg,RED,LIGHT,PA,11/24/1998 22:30 +Bitterroot Valley,,LIGHT,MT,11/24/1998 23:15 +Louisville,,SPHERE,KY,11/25/1998 17:30 +Copperas Cove,,TRIANGLE,TX,11/25/1998 18:55 +Tigard,RED,FIREBALL,OR,11/25/1998 20:05 +Lee's Summit,,OTHER,MO,11/25/1998 21:15 +Gulf Shores,,FLASH,AL,11/25/1998 21:24 +Springtown,,LIGHT,PA,11/25/1998 21:30 +Lowell,,CIRCLE,MA,11/26/1998 10:00 +McKinney,,CYLINDER,TX,11/26/1998 14:00 +Hoffman Estates,,,IL,11/26/1998 20:30 +Fall River,,LIGHT,KS,11/26/1998 22:00 +San Diego,,OVAL,CA,11/26/1998 22:30 +Manistee,GREEN,FIREBALL,MI,11/27/1998 5:00 +Charleston,,FIREBALL,WV,11/27/1998 15:35 +Southbury,,TRIANGLE,CT,11/27/1998 18:30 +Windsor,,SPHERE,CA,11/27/1998 20:15 +Columbia,,FIREBALL,TN,11/27/1998 20:30 +Springfield,GREEN,LIGHT,MO,11/27/1998 20:30 +Standale,,TRIANGLE,MI,11/27/1998 20:45 +Katy,,FIREBALL,TX,11/27/1998 21:30 +Salt Lake City,,TRIANGLE,UT,11/28/1998 16:30 +Long Beach,,TRIANGLE,CA,11/28/1998 16:45 +Dunkirk,,OTHER,MD,11/28/1998 17:30 +Barto,RED,FIREBALL,PA,11/28/1998 20:42 +Douglasville,,CIRCLE,GA,11/28/1998 21:00 +Hampstead,RED ORANGE YELLOW,FIREBALL,NC,11/29/1998 1:50 +Palm Desert,,FIREBALL,CA,11/29/1998 19:10 +West Memphis,,TRIANGLE,AR,11/29/1998 19:55 +Rockford,,TRIANGLE,IL,11/30/1998 1:00 +Huachuca City,,CIRCLE,AZ,11/30/1998 5:32 +Latrobe,,LIGHT,CA,11/30/1998 20:00 +Phoenix,,LIGHT,AZ,11/30/1998 21:45 +Houston,GREEN,FIREBALL,TX,12/1/1998 4:30 +Lehigh Acres,,FLASH,FL,12/1/1998 6:09 +Traverse City,,FIREBALL,MI,12/1/1998 6:30 +Glenhaven,,CROSS,CA,12/1/1998 7:10 +Culpeper,,OVAL,VA,12/1/1998 17:50 +Westfield,YELLOW,FIREBALL,IN,12/1/1998 18:00 +Fort Wayne,,OTHER,IN,12/1/1998 21:20 +Miami,,LIGHT,FL,12/1/1998 23:15 +Columbus,,DISK,OH,12/2/1998 17:00 +San Saba County,,FORMATION,TX,12/3/1998 18:00 +Albany,,OVAL,NY,12/3/1998 18:15 +Albany,,LIGHT,NY,12/3/1998 18:30 +Kirkland,,TRIANGLE,WA,12/3/1998 23:30 +Kirkland,,TRIANGLE,WA,12/3/1998 23:30 +Stanford,,LIGHT,CA,12/4/1998 22:25 +Atlanta,,FIREBALL,GA,12/5/1998 3:00 +Marina del Rey,,,CA,12/5/1998 17:02 +Glendale,,OTHER,AZ,12/5/1998 18:15 +Las Vegas,,,NV,12/5/1998 20:30 +Pahrump,GREEN,CIRCLE,NV,12/5/1998 21:21 +Columbus,,FIREBALL,TX,12/6/1998 0:30 +Washington C.H.,GREEN,FIREBALL,OH,12/6/1998 7:30 +Rome,RED BLUE,FIREBALL,GA,12/6/1998 8:30 +Las Vegas,,TRIANGLE,NV,12/6/1998 18:25 +Phoenix,,CYLINDER,AZ,12/6/1998 18:45 +Santa Rosa,RED,LIGHT,CA,12/6/1998 19:40 +Culpeper County,,CIRCLE,VA,12/6/1998 20:30 +Philipsburg,GREEN,DISK,PA,12/6/1998 21:30 +Orange,ORANGE GREEN,FIREBALL,CA,12/6/1998 23:58 +Plano,GREEN,CIRCLE,TX,12/7/1998 0:00 +Medina,,FIREBALL,OH,12/7/1998 4:30 +Soddy Daisy,,SPHERE,TN,12/7/1998 10:00 +Anchorage,,LIGHT,AK,12/7/1998 18:00 +Soddy Daisy,,SPHERE,TN,12/7/1998 22:15 +Fort Smith,,TRIANGLE,AR,12/8/1998 6:30 +De Leon,,LIGHT,TX,12/8/1998 18:30 +Vilonia,,CIRCLE,AR,12/8/1998 20:00 +Lake Fork,ORANGE,LIGHT,TX,12/8/1998 20:05 +Belton,ORANGE,FIREBALL,MO,12/8/1998 23:02 +Kalamazoo,,LIGHT,MI,12/9/1998 0:00 +Alamosa,,OVAL,CO,12/9/1998 1:30 +Jerseyville,,LIGHT,IL,12/9/1998 6:25 +Eureka,,TEARDROP,CA,12/9/1998 7:15 +Phoenix,,CIRCLE,AZ,12/9/1998 8:05 +Chagrin Falls,,LIGHT,OH,12/9/1998 20:43 +I-81,,TRIANGLE,TN,12/10/1998 1:00 +Camp Pendelton,,SPHERE,CA,12/10/1998 1:15 +Fort Mill,ORANGE,DISK,NC,12/10/1998 3:05 +Manchester,,FIREBALL,NY,12/10/1998 3:19 +Lincolnshire,,FIREBALL,IL,12/10/1998 4:55 +Santa Rosa,,LIGHT,CA,12/10/1998 18:27 +Hesston,RED,TRIANGLE,KS,12/10/1998 19:50 +Plymouth,,DIAMOND,MA,12/10/1998 21:11 +Colorado Springs,,DISK,CO,12/11/1998 16:45 +Culver City,,LIGHT,CA,12/11/1998 19:00 +Pensacola,RED,FIREBALL,FL,12/11/1998 19:50 +New Boston,RED BLUE,LIGHT,NH,12/11/1998 22:30 +Bangor,,LIGHT,ME,12/12/1998 2:30 +Atlanta,,FIREBALL,TX,12/12/1998 18:45 +Bradenton,,LIGHT,FL,12/12/1998 23:30 +Lafayette,,OTHER,CO,12/13/1998 2:00 +Clayton,GREEN BLUE,OVAL,MO,12/13/1998 5:00 +St. Peters,,LIGHT,MO,12/13/1998 6:45 +Fall River,GREEN,LIGHT,MA,12/13/1998 12:30 +Denver,,FORMATION,CO,12/13/1998 14:00 +Hauser,,LIGHT,OR,12/13/1998 19:00 +Massachusetts,BLUE,FIREBALL,MA,12/13/1998 20:00 +Fort Smith,,LIGHT,AR,12/13/1998 20:45 +Baton Rouge,BLUE,LIGHT,LA,12/13/1998 23:00 +Indianapolis,GREEN,FIREBALL,IN,12/13/1998 23:10 +Leavenworth,BLUE,FIREBALL,KS,12/13/1998 23:10 +Sikeston,,SPHERE,MO,12/13/1998 23:20 +Sikeston,,SPHERE,MO,12/13/1998 23:20 +Cottontown,,OTHER,TN,12/13/1998 23:25 +Wharton,,LIGHT,TX,12/14/1998 0:00 +Mukilteo,,FORMATION,WA,12/14/1998 0:50 +Spokane,GREEN,FIREBALL,WA,12/14/1998 4:00 +Redding,,FIREBALL,CA,12/14/1998 4:10 +Bloomington,,FORMATION,IL,12/14/1998 5:50 +Redmond,RED,DISK,WA,12/14/1998 15:25 +St. Charles,GREEN,FIREBALL,MO,12/14/1998 20:15 +Littleton,,DISK,MA,12/14/1998 21:05 +Waterford,,RECTANGLE,WI,12/15/1998 0:00 +Baltimore,,DISK,MD,12/15/1998 0:30 +Petaluma,,CIRCLE,CA,12/15/1998 3:30 +Atlanta,,EGG,GA,12/15/1998 7:10 +Atlanta,,SPHERE,GA,12/15/1998 9:07 +Arab,ORANGE,SPHERE,AL,12/15/1998 9:25 +Rocky Point,,SPHERE,NC,12/15/1998 10:00 +Cincinnati,,EGG,OH,12/15/1998 15:15 +Carmel,,FIREBALL,IN,12/15/1998 17:00 +Saratoga Springs,,SPHERE,NY,12/15/1998 17:00 +Oroville,,LIGHT,CA,12/15/1998 17:10 +Saratoga Lake,,VARIOUS,NY,12/15/1998 17:40 +Easton,RED,CIGAR,PA,12/15/1998 19:30 +Fairbanks,,FORMATION,AK,12/15/1998 20:00 +Bethlehem,,TRIANGLE,PA,12/15/1998 21:00 +Albuquerque,,CROSS,NM,12/15/1998 22:00 +Middletown,,CIRCLE,OH,12/15/1998 22:00 +Millington,,CIRCLE,TN,12/15/1998 22:00 +Hinton,,LIGHT,WV,12/15/1998 22:30 +Grand Prairie,,DISK,TX,12/15/1998 23:00 +Fort Myers,,LIGHT,FL,12/15/1998 23:30 +Orlando,RED,,FL,12/15/1998 23:30 +Lubbock,,CHEVRON,TX,12/16/1998 19:40 +Conroe,,LIGHT,TX,12/16/1998 20:53 +Demotte,,TEARDROP,IN,12/16/1998 21:38 +Bakersfield,,FIREBALL,CA,12/16/1998 23:18 +Long Key,,FIREBALL,FL,12/16/1998 23:30 +Plantation Key,,,FL,12/16/1998 23:33 +Port Charlotte,,DISK,FL,12/16/1998 23:33 +La Habra,,FIREBALL,CA,12/17/1998 2:15 +Decatur,,VARIOUS,AL,12/17/1998 7:10 +Escondido,,OVAL,CA,12/17/1998 9:00 +Bossier City,BLUE,CIRCLE,LA,12/17/1998 14:12 +West Plains,ORANGE,,MO,12/17/1998 19:00 +Severn,GREEN,FIREBALL,MD,12/17/1998 20:38 +Seattle,,LIGHT,WA,12/17/1998 22:00 +Ironton,,,OH,12/18/1998 0:25 +Port Angeles,RED,DIAMOND,WA,12/18/1998 6:30 +Utica,,LIGHT,NY,12/18/1998 19:27 +Mechanicsburg,,,PA,12/18/1998 21:00 +Boca Grande,,DISK,FL,12/18/1998 22:00 +West Richland,,,WA,12/18/1998 22:00 +Magnolia,,LIGHT,TX,12/19/1998 0:57 +Kansas,,LIGHT,KS,12/19/1998 3:30 +Phoenix,GREEN,FIREBALL,AZ,12/19/1998 3:57 +Fleetwood,RED,LIGHT,PA,12/19/1998 18:20 +Riddle,,LIGHT,OR,12/19/1998 20:00 +Quartsite,,OVAL,AZ,12/19/1998 21:00 +Kansas,,,KS,12/20/1998 2:30 +Charleston,,SPHERE,SC,12/20/1998 19:30 +West Palm Beach,,TRIANGLE,FL,12/20/1998 20:30 +Myrtle Beach,,DISK,SC,12/21/1998 2:10 +Mansfield,,SPHERE,OH,12/21/1998 6:30 +Rupert,,DISK,ID,12/21/1998 18:30 +Denver,,OVAL,CO,12/22/1998 7:25 +East Bethel,,,MN,12/22/1998 12:00 +Phoenix,,SPHERE,AZ,12/22/1998 18:30 +Indianapolis,GREEN,CIRCLE,IN,12/22/1998 20:05 +Rome,,VARIOUS,GA,12/22/1998 21:00 +Missouri City,,FORMATION,TX,12/22/1998 23:30 +Grand Canyon,,OTHER,AZ,12/23/1998 17:20 +Miami,RED,CIRCLE,FL,12/23/1998 22:00 +Manitowoc,,CHEVRON,WI,12/23/1998 22:35 +Bartlett,RED,CIGAR,IL,12/24/1998 6:24 +Fairfax,,,VA,12/24/1998 19:00 +Hathaway,,CYLINDER,LA,12/24/1998 21:00 +Kansas City,,CHEVRON,MO,12/25/1998 13:30 +Fountain Hills,,SPHERE,AZ,12/25/1998 14:00 +Salt Lake City,,CIRCLE,UT,12/25/1998 19:04 +Jamestown,RED,LIGHT,PA,12/25/1998 22:50 +Eagle River,,OVAL,AK,12/26/1998 12:30 +Modesto,,RECTANGLE,CA,12/26/1998 23:00 +Stratham,BLUE,RECTANGLE,NH,12/27/1998 1:00 +Struthers,,SPHERE,OH,12/27/1998 10:30 +Hodgkins,,LIGHT,IL,12/27/1998 22:30 +Weatherford,,LIGHT,TX,12/28/1998 5:45 +Winter Park,GREEN,FIREBALL,FL,12/28/1998 19:45 +Hilton Head,,LIGHT,SC,12/28/1998 21:30 +Kure Beach,,CONE,NC,12/28/1998 22:35 +Silver Springs,ORANGE,SPHERE,NY,12/28/1998 23:50 +Primm,YELLOW,LIGHT,NV,12/29/1998 0:16 +Cape May Court House,,SPHERE,NJ,12/30/1998 2:00 +Spokane,,FIREBALL,WA,12/30/1998 17:58 +Cherry Hill,,LIGHT,NJ,12/31/1998 19:30 +Las Vegas,,DISK,NV,12/31/1998 21:31 +Jonesboro,,VARIOUS,LA,12/31/1998 23:00 +Burnt Hills,ORANGE,LIGHT,NY,12/31/1998 23:30 +Appleton,,TEARDROP,WI,12/31/1998 23:59 +Loma Rica,,LIGHT,CA,1/1/1999 2:30 +Bauxite,,,AR,1/1/1999 3:00 +Florence,,CYLINDER,SC,1/1/1999 14:00 +Lake Henshaw,,CIGAR,CA,1/1/1999 15:00 +Wilmington Island,,LIGHT,GA,1/1/1999 17:15 +DeWitt,,LIGHT,AR,1/1/1999 18:00 +Bainbridge Island,,,WA,1/1/1999 19:12 +Camano Island,,FIREBALL,WA,1/1/1999 19:30 +Cheaha Mountain,,TRIANGLE,AL,1/1/1999 21:00 +Coyoty Canyon,,DISK,NM,1/1/1999 21:00 +Rancho Cordova,,,CA,1/1/1999 23:59 +Seattle,GREEN,LIGHT,WA,1/2/1999 17:42 +Vancouver,GREEN,FIREBALL,WA,1/2/1999 18:30 +Spirit Lake,RED GREEN,LIGHT,ID,1/2/1999 20:00 +Jacksonville,RED BLUE,OTHER,FL,1/2/1999 20:30 +Marysville,RED GREEN,SPHERE,CA,1/2/1999 22:12 +Bellevue,,LIGHT,WA,1/3/1999 8:45 +Blithe,,OTHER,CA,1/3/1999 16:31 +Brigham City,,,UT,1/3/1999 17:00 +Longview,,CIRCLE,TX,1/4/1999 20:00 +Redding,RED GREEN,TRIANGLE,CA,1/4/1999 20:24 +Stillwater,,VARIOUS,NY,1/4/1999 21:50 +Portland,,OVAL,OR,1/5/1999 2:00 +Seattle,GREEN,FIREBALL,WA,1/5/1999 5:31 +Seattle,,TEARDROP,WA,1/5/1999 5:36 +Bremerton,,CIRCLE,WA,1/5/1999 5:38 +Estes Park,,CIRCLE,CO,1/5/1999 14:00 +Alamogordo,,DISK,NM,1/5/1999 20:00 +Lakeside,,FLASH,CA,1/6/1999 21:30 +Dallas,,FIREBALL,TX,1/6/1999 21:50 +North Dallas,,CIRCLE,TX,1/6/1999 22:00 +Charlotte,,TRIANGLE,NC,1/7/1999 14:10 +Chatsworth,GREEN,LIGHT,CA,1/7/1999 18:20 +Williamsport,,OTHER,PA,1/7/1999 20:45 +Tallahassee,,DIAMOND,FL,1/7/1999 23:00 +Tallahassee,RED,DIAMOND,FL,1/7/1999 23:00 +Portland,ORANGE,SPHERE,OR,1/8/1999 18:00 +Corvallis,,,OR,1/8/1999 19:00 +Paradiseand,,DIAMOND,CA,1/8/1999 19:25 +Chico,,,CA,1/8/1999 19:30 +Redding,,,CA,1/8/1999 19:30 +Madera,,,CA,1/8/1999 20:30 +Copper Center,,FLASH,AK,1/8/1999 22:45 +Palmer,,FLASH,AK,1/8/1999 22:45 +Wasilla,,FLASH,AK,1/8/1999 22:45 +Carmel,,LIGHT,LA,1/8/1999 23:30 +Spring Branch,GREEN,FIREBALL,TX,1/9/1999 1:30 +St. Louis,,LIGHT,MO,1/9/1999 17:45 +Longboat Key,,LIGHT,FL,1/9/1999 21:00 +Paradise,,,CA,1/10/1999 3:00 +Los Angeles,,FIREBALL,CA,1/10/1999 8:30 +Dallas,,LIGHT,TX,1/10/1999 17:45 +Cornwall Bridge,GREEN,DISK,CT,1/10/1999 19:00 +Newark,,FIREBALL,DE,1/10/1999 19:00 +Tyson's Corner,GREEN,CIRCLE,VA,1/10/1999 19:04 +Corpus Christi,,FIREBALL,TX,1/10/1999 20:30 +Gilbert,GREEN,CIRCLE,MN,1/11/1999 2:45 +San Ramon,,FIREBALL,CA,1/11/1999 5:47 +Lebanon,,CYLINDER,OR,1/11/1999 9:30 +Danville,,FIREBALL,CA,1/11/1999 17:47 +Rohnert Park,,SPHERE,CA,1/11/1999 18:00 +Washington County,,EGG,MO,1/11/1999 20:00 +Dallas,,CIRCLE,TX,1/12/1999 0:00 +Hastings,,DIAMOND,PA,1/12/1999 3:00 +Eureka,RED ORANGE BLUE,TRIANGLE,CA,1/12/1999 8:32 +Rio Rancho,,CIRCLE,NM,1/13/1999 7:15 +Port St. Lucie,,OVAL,FL,1/13/1999 20:50 +Edwardsville,,OTHER,IL,1/13/1999 22:45 +Morgan,,LIGHT,AR,1/13/1999 23:45 +Lake Wales,YELLOW,FIREBALL,FL,1/14/1999 19:00 +Langley,,FORMATION,WA,1/14/1999 19:00 +Seattle,,OVAL,WA,1/14/1999 21:50 +Lake Stevens,,FIREBALL,WA,1/14/1999 22:20 +Montgomery,,SPHERE,AL,1/15/1999 13:00 +Beaumont,RED,,TX,1/15/1999 16:00 +Owings Mills,,OTHER,MD,1/15/1999 17:30 +Plymouth,,TRIANGLE,MA,1/15/1999 17:30 +Canon City,RED,FORMATION,CO,1/15/1999 17:40 +Canon City,,LIGHT,CO,1/15/1999 17:40 +Contocook,,,NH,1/15/1999 20:00 +Dunkirk,,OTHER,MD,1/15/1999 20:43 +Lancaster,,LIGHT,CA,1/15/1999 21:00 +Stevens Pass,,TRIANGLE,WA,1/15/1999 21:30 +Lanoka Harbor,RED,DIAMOND,NJ,1/15/1999 22:01 +Olean,,FIREBALL,NY,1/15/1999 22:30 +Deptford,,CIGAR,NJ,1/16/1999 1:15 +Wrightsville,,DISK,GA,1/16/1999 4:45 +Mentor on the Lake,,SPHERE,OH,1/16/1999 16:00 +Clermont,,DISK,GA,1/16/1999 19:00 +Parkton,RED BLUE,DISK,MD,1/17/1999 22:47 +Brookhaven,,FIREBALL,MS,1/17/1999 23:00 +Olympia,BLUE,,WA,1/18/1999 0:30 +Arlington,,FIREBALL,TX,1/18/1999 1:15 +San Marcos,,LIGHT,CA,1/18/1999 2:00 +Baltimore,,LIGHT,MD,1/18/1999 17:00 +San Francisco,,,CA,1/18/1999 18:15 +Los Angeles,,LIGHT,CA,1/18/1999 18:20 +Timberline Lodge,,LIGHT,OR,1/18/1999 19:38 +Carlinville,,CIGAR,IL,1/19/1999 19:00 +Provo,GREEN,SPHERE,UT,1/19/1999 19:05 +Marshfield,,LIGHT,MO,1/20/1999 17:30 +Butte,,DIAMOND,MT,1/20/1999 19:30 +Olney,,CHEVRON,IL,1/20/1999 20:30 +Granada Hills,,OTHER,CA,1/20/1999 20:35 +Silverdale,,LIGHT,WA,1/22/1999 7:03 +Chicago,,DISK,IL,1/23/1999 4:00 +Ocala,,TRIANGLE,FL,1/23/1999 7:00 +Sherburne,,OVAL,NY,1/23/1999 20:00 +Richmond,,CHEVRON,VA,1/23/1999 21:00 +Oakland,,CYLINDER,CA,1/23/1999 21:30 +Portland,,OVAL,OR,1/24/1999 20:00 +San Francisco,RED,SPHERE,CA,1/25/1999 1:15 +Alabaster,,FIREBALL,AL,1/25/1999 17:40 +West Elkton,,LIGHT,OH,1/25/1999 20:22 +Humble,GREEN,FORMATION,TX,1/26/1999 20:00 +La Veta,,OTHER,CO,1/26/1999 20:15 +Mobile,YELLOW,LIGHT,AL,1/27/1999 18:04 +Scottsdale,,TRIANGLE,AZ,1/28/1999 6:30 +McAlester,,OTHER,OK,1/28/1999 21:15 +Maricopa,,DISK,CA,1/29/1999 7:20 +Germantown,,DISK,MD,1/29/1999 18:40 +Wilmington Island,,DIAMOND,GA,1/29/1999 19:45 +Palm Springs,,SPHERE,CA,1/30/1999 5:25 +Red Bluff,,FORMATION,CA,1/30/1999 23:30 +Riverton,,FIREBALL,WY,1/31/1999 19:30 +Lake Charles,,TRIANGLE,LA,1/31/1999 22:02 +Flagstaff,,CHEVRON,AZ,2/1/1999 0:00 +Lutz,GREEN,FLASH,FL,2/1/1999 18:00 +Molalla,,DISK,OR,2/1/1999 18:00 +Ocala,,TRIANGLE,FL,2/1/1999 21:30 +Arvada,RED GREEN,FLASH,CO,2/1/1999 22:05 +Arlington,,FIREBALL,TX,2/2/1999 1:15 +Mt. Horeb,,OTHER,WI,2/2/1999 2:00 +Bonner Springs,GREEN,FIREBALL,KS,2/2/1999 4:20 +Mountain View,,LIGHT,CA,2/2/1999 6:00 +Hesperia,,OTHER,CA,2/2/1999 6:05 +South Pasadena,RED,LIGHT,CA,2/2/1999 6:35 +Rancho Cucamonga,,FIREBALL,CA,2/2/1999 6:39 +San Miguel,BLUE,FIREBALL,CA,2/2/1999 6:40 +Redding,GREEN,OTHER,CA,2/2/1999 6:43 +St. George,GREEN,LIGHT,UT,2/2/1999 7:42 +New York City,,OTHER,NY,2/2/1999 10:00 +Sierra Vista,,,AZ,2/2/1999 17:20 +Chula Vista,,LIGHT,CA,2/2/1999 20:45 +Charlotte,GREEN,FIREBALL,NC,2/2/1999 21:30 +Grenada,GREEN,FIREBALL,MS,2/3/1999 4:00 +Orangeville,,LIGHT,IL,2/3/1999 17:00 +Franklin,,OVAL,MA,2/3/1999 17:35 +Van Nuys,,CIRCLE,CA,2/3/1999 18:30 +Conway,,TRIANGLE,AR,2/3/1999 22:48 +Prescott Valley,YELLOW,CIRCLE,AZ,2/4/1999 21:30 +Sonoma County,,CIRCLE,CA,2/4/1999 21:30 +St. Louis,RED BLUE,,MO,2/4/1999 22:13 +Henderson,,TEARDROP,NV,2/6/1999 23:45 +Natchez,,OVAL,MS,2/7/1999 1:30 +Quartzite,,EGG,AZ,2/7/1999 20:30 +Bulls Gap,,SPHERE,TN,2/8/1999 17:50 +Leon,RED GREEN,OTHER,WV,2/9/1999 13:30 +La Crescenta,GREEN,DISK,CA,2/9/1999 19:39 +Sterling,,OVAL,PA,2/9/1999 21:00 +Tucson,,,AZ,2/10/1999 18:45 +Huntsville,,LIGHT,AL,2/10/1999 20:15 +North Pole,,SPHERE,AK,2/10/1999 20:40 +Chino,ORANGE,CIGAR,CA,2/10/1999 23:00 +San Diego,ORANGE,FIREBALL,CA,2/10/1999 23:40 +Castro Valley,,TEARDROP,CA,2/11/1999 7:30 +Suitland,,,MD,2/11/1999 19:00 +Pittsburg,,FIREBALL,CA,2/11/1999 19:20 +Cotati,GREEN,FIREBALL,CA,2/11/1999 19:30 +Union Deposit-Hoernerstown,,TRIANGLE,PA,2/11/1999 21:34 +New Florence,,CIRCLE,MO,2/11/1999 22:35 +North Pole,,FIREBALL,AK,2/12/1999 1:30 +Palmyra,RED GREEN,SPHERE,MO,2/12/1999 4:55 +Mary Esther,,CYLINDER,FL,2/12/1999 8:01 +Albuquerque,,SPHERE,NM,2/12/1999 17:10 +Adrian,,OVAL,MI,2/12/1999 19:00 +Walnut Creek,,,CA,2/13/1999 13:30 +Lilburn,ORANGE YELLOW,LIGHT,GA,2/13/1999 18:30 +San Juan Island,,TRIANGLE,WA,2/14/1999 1:20 +Youngstown,,LIGHT,OH,2/14/1999 10:22 +Lewisville Lake,,LIGHT,TX,2/14/1999 18:20 +Anza Borrego Desert,,DISK,CA,2/14/1999 21:00 +Belfast,GREEN,SPHERE,ME,2/14/1999 21:20 +Ravenna,GREEN,CIRCLE,OH,2/14/1999 23:00 +Phoenix,,VARIOUS,AZ,2/15/1999 10:30 +Hopkington,,TRIANGLE,RI,2/15/1999 19:00 +Worcester,,,MA,2/15/1999 19:15 +Thousand Oaks,,VARIOUS,CA,2/15/1999 20:15 +Austin,RED BLUE,,TX,2/15/1999 23:00 +Ravenna,GREEN,SPHERE,OH,2/15/1999 23:10 +Beale AFB,GREEN,CIRCLE,CA,2/16/1999 6:45 +Boron,,VARIOUS,CA,2/16/1999 14:30 +Navarre Beach,RED,LIGHT,FL,2/16/1999 19:00 +Brady,,LIGHT,TX,2/16/1999 19:30 +Barstow,,OTHER,CA,2/17/1999 3:00 +Loxahatchee,,CYLINDER,FL,2/17/1999 17:00 +Racine,,FIREBALL,WI,2/17/1999 20:20 +Lee Vining,RED,RECTANGLE,CA,2/17/1999 20:45 +Roseville,RED,,CA,2/17/1999 20:50 +Jacksonville,RED,LIGHT,FL,2/18/1999 2:00 +Seattle,,,WA,2/18/1999 16:30 +Story,RED GREEN,RECTANGLE,AR,2/18/1999 20:00 +Portage County,,,OH,2/18/1999 23:20 +Colorado Springs,,FORMATION,CO,2/18/1999 23:27 +La Crosse,,TEARDROP,WI,2/19/1999 0:13 +Orlando,,CIRCLE,FL,2/19/1999 4:45 +Sarasota,,OTHER,FL,2/19/1999 18:30 +Richmond,BLUE,DISK,VA,2/19/1999 19:30 +Sedona,,OTHER,AZ,2/19/1999 19:30 +Marysville,,LIGHT,WA,2/19/1999 21:00 +Simi Valley,,OTHER,CA,2/19/1999 21:20 +Marshall,,LIGHT,MO,2/20/1999 3:00 +Cleveland,,OVAL,GA,2/20/1999 7:00 +Elk Grove,BLUE,TEARDROP,CA,2/20/1999 7:45 +West Phoenix,,SPHERE,AZ,2/20/1999 8:45 +Billings,BLUE,OTHER,MT,2/20/1999 17:50 +Palm Springs,,CIRCLE,CA,2/20/1999 19:00 +New Orleans,,LIGHT,LA,2/20/1999 20:00 +San Jose,,,CA,2/20/1999 20:20 +Glen Hope,,LIGHT,PA,2/20/1999 22:30 +Hope Valley,,TRIANGLE,RI,2/20/1999 23:40 +Auburn,,LIGHT,MA,2/21/1999 0:00 +New York City,,LIGHT,NY,2/21/1999 1:30 +Denver,,LIGHT,CO,2/21/1999 14:00 +Weyers Cave,BLUE,OTHER,VA,2/21/1999 18:00 +Fairbanks,,TRIANGLE,AK,2/21/1999 22:30 +Everett,,LIGHT,WA,2/22/1999 18:45 +New York City,,LIGHT,NY,2/22/1999 19:00 +Otway,,OTHER,OH,2/22/1999 19:00 +Point Marion,RED GREEN BLUE,LIGHT,PA,2/22/1999 20:00 +LaVerne,ORANGE,VARIOUS,CA,2/22/1999 20:10 +Phoenix,,FIREBALL,AZ,2/23/1999 0:00 +Los Angeles,ORANGE,FIREBALL,CA,2/23/1999 2:27 +Vandenburg AFB,,,CA,2/23/1999 2:29 +La Verne,,FIREBALL,CA,2/23/1999 2:30 +"Pomona,",,SPHERE,CA,2/23/1999 2:30 +Los Alamitos,,OTHER,CA,2/23/1999 2:33 +Huntsville,ORANGE,LIGHT,TX,2/23/1999 19:00 +Las Vegas,,LIGHT,NM,2/23/1999 19:00 +Interlochen,,LIGHT,MI,2/23/1999 19:45 +North Carolina,RED,SPHERE,NC,2/23/1999 20:00 +Spur,,TRIANGLE,TX,2/23/1999 20:30 +Clarkdale,,DISK,AZ,2/23/1999 21:30 +Deer Valley Airport-Phoenix,GREEN,OTHER,AZ,2/23/1999 22:40 +Austin,,CHEVRON,TX,2/23/1999 22:50 +Congers,,OTHER,NY,2/24/1999 0:00 +Chicago,GREEN,FIREBALL,IL,2/24/1999 5:20 +Fox Point,GREEN,FIREBALL,WI,2/24/1999 5:23 +Big Bend,,FIREBALL,WI,2/24/1999 5:30 +Sheboygan Falls,,FIREBALL,WI,2/24/1999 11:28 +Edwards AFB,,OTHER,CA,2/24/1999 13:00 +North Houston,,,TX,2/24/1999 18:36 +Ely,,CHEVRON,NV,2/24/1999 19:00 +Elmira Heights,,RECTANGLE,NY,2/24/1999 22:30 +Garland,,FLASH,TX,2/25/1999 9:35 +Johnson City,GREEN,FIREBALL,NY,2/25/1999 10:40 +San Jose,,OVAL,CA,2/25/1999 13:00 +Lewisville Lake,,OVAL,TX,2/25/1999 17:41 +Western Sky from Pflugerville,,OVAL,TX,2/25/1999 21:00 +Dayton,,VARIOUS,OH,2/25/1999 22:00 +Gilroy,,FLASH,CA,2/26/1999 0:15 +Crown Point,RED,LIGHT,IN,2/26/1999 4:00 +Bremerton,,OTHER,WA,2/26/1999 7:00 +Mt. Holly Springs,,,PA,2/26/1999 16:23 +Baltimore,,RECTANGLE,MD,2/26/1999 16:45 +I-84,,LIGHT,ID,2/26/1999 19:30 +Laughlin,,FORMATION,NV,2/27/1999 14:30 +Laughlin,,CIRCLE,NV,2/27/1999 17:35 +Dagsboro,,LIGHT,DE,2/27/1999 18:00 +Bishop,,LIGHT,CA,2/27/1999 18:30 +Chloride,,LIGHT,AZ,2/27/1999 21:15 +Coarsegold,,OTHER,CA,2/27/1999 21:30 +Laughlin,,CIRCLE,NV,2/27/1999 21:30 +Laughlin,,LIGHT,NV,2/27/1999 21:32 +Chino Valley,,OVAL,AZ,2/27/1999 21:45 +San Diego,,TRIANGLE,CA,2/27/1999 21:45 +Bellingham,,DISK,WA,2/27/1999 23:59 +East Rutherford,ORANGE,CIRCLE,NJ,2/28/1999 0:25 +Puget Sound,ORANGE,OTHER,WA,2/28/1999 8:45 +Fairborn,,OTHER,OH,2/28/1999 18:00 +Binghamton,ORANGE,FORMATION,NY,2/28/1999 21:02 +Las Vegas,,CIRCLE,NV,2/28/1999 23:35 +Covington,RED,SPHERE,WA,2/28/1999 23:45 +Chicago,,TRIANGLE,IL,3/1/1999 16:00 +Piney,,LIGHT,TN,3/1/1999 17:30 +Lumberton,,VARIOUS,MS,3/1/1999 18:00 +Butte,,DISK,MT,3/1/1999 18:30 +Eagle Mountain,,LIGHT,TX,3/1/1999 22:00 +Rockford,,,IL,3/1/1999 22:00 +Toronto National Forest,,LIGHT,AZ,3/1/1999 22:00 +Del Mar,RED GREEN,TRIANGLE,CA,3/1/1999 23:52 +Covina,,EGG,CA,3/2/1999 0:00 +Miami Beach,RED ORANGE,CIRCLE,FL,3/2/1999 19:04 +Dallas,,SPHERE,TX,3/2/1999 20:15 +Seffner,,LIGHT,FL,3/2/1999 20:30 +San Antonio,,TRIANGLE,TX,3/3/1999 12:10 +Fair Oaks,YELLOW BLUE,DISK,CA,3/3/1999 17:00 +Campbellsport,,TRIANGLE,WI,3/3/1999 21:00 +Clermont,,OTHER,GA,3/3/1999 21:00 +Gilroy,,FIREBALL,CA,3/3/1999 22:51 +Novato,,OTHER,CA,3/4/1999 6:55 +Fresno,,CIGAR,CA,3/4/1999 7:15 +Wichita,,DISK,KS,3/4/1999 12:15 +Miami Shores,,DISK,FL,3/4/1999 16:00 +Niles,,CIGAR,OH,3/4/1999 18:00 +Colville,GREEN,FIREBALL,WA,3/4/1999 18:48 +Nevada City,,LIGHT,CA,3/4/1999 18:55 +Renton,,SPHERE,WA,3/4/1999 18:55 +Chowchilla,ORANGE,FIREBALL,CA,3/4/1999 19:00 +Golden Valley,,LIGHT,AZ,3/4/1999 19:00 +Lancaster,,OTHER,CA,3/4/1999 19:00 +Wellington,,FIREBALL,NV,3/4/1999 19:00 +Bridgeport,,LIGHT,CA,3/4/1999 19:30 +Phoenix,,CONE,AZ,3/4/1999 19:55 +Greer,RED,LIGHT,AZ,3/4/1999 20:45 +Phoenix,,OTHER,AZ,3/4/1999 20:45 +Fairbanks,,SPHERE,AK,3/4/1999 21:00 +Morgantown,YELLOW,TRIANGLE,WV,3/4/1999 21:35 +Cape Girardeau,,,MO,3/5/1999 1:00 +New Fairfield,,CIRCLE,CT,3/5/1999 2:30 +Marana,,FIREBALL,AZ,3/5/1999 20:00 +Belvidere,,EGG,VT,3/7/1999 1:00 +Tarzana,YELLOW,LIGHT,CA,3/7/1999 20:30 +Arab,,LIGHT,AL,3/7/1999 22:00 +Champaign,,FORMATION,IL,3/7/1999 22:00 +Greenfield,,LIGHT,CA,3/9/1999 0:08 +Seattle,,TRIANGLE,WA,3/9/1999 12:30 +Howell,,TRIANGLE,NJ,3/9/1999 21:45 +Johnstown,,CIGAR,PA,3/10/1999 2:00 +Glen Burnie,,,MD,3/10/1999 20:00 +Tacoma,GREEN,SPHERE,WA,3/10/1999 22:15 +Jewell Basin National Park,,OTHER,MT,3/10/1999 23:24 +Collingdale,,CONE,PA,3/11/1999 1:00 +Greendale,,DIAMOND,WI,3/11/1999 2:35 +South San Francisco,,DISK,CA,3/11/1999 15:00 +Las Vegas,,,NV,3/11/1999 16:28 +Jacksonville,,TRIANGLE,FL,3/11/1999 19:01 +Venice,,FIREBALL,CA,3/11/1999 19:30 +Las Vegas,,LIGHT,NV,3/11/1999 20:20 +Lemont,,TRIANGLE,IL,3/11/1999 22:35 +Rockmart,BLUE,OTHER,GA,3/11/1999 22:48 +Santa Rosa,,TRIANGLE,CA,3/11/1999 23:55 +Bellevue,,LIGHT,OH,3/12/1999 0:45 +Columbus,,FIREBALL,OH,3/12/1999 5:10 +Grand Rapids,,TRIANGLE,MI,3/12/1999 7:15 +Agawam,,TRIANGLE,MA,3/12/1999 18:30 +Grand Rapids,GREEN,FORMATION,MI,3/12/1999 21:00 +Bradley,,TRIANGLE,IL,3/12/1999 22:00 +Angeles Crest Hwy,,SPHERE,CA,3/13/1999 1:00 +Fowlerville,GREEN,FIREBALL,MI,3/13/1999 3:40 +New York City,,RECTANGLE,NY,3/13/1999 19:35 +Waipahu Peninsula,RED ORANGE BLUE,LIGHT,HI,3/13/1999 20:03 +Diamond Bar,,SPHERE,CA,3/13/1999 23:00 +Parma,,TRIANGLE,OH,3/14/1999 0:45 +Lihue,GREEN,LIGHT,HI,3/14/1999 1:15 +Madison,,CIRCLE,WI,3/14/1999 14:00 +Shelby Township,RED GREEN,LIGHT,MI,3/15/1999 1:30 +Nashville,,LIGHT,TN,3/15/1999 4:00 +Wilmington Island,RED,FIREBALL,GA,3/15/1999 4:15 +Lombard,,,IL,3/15/1999 12:00 +Hurricane,GREEN,,WV,3/15/1999 20:00 +Atmore,,LIGHT,AL,3/15/1999 20:40 +New York City,,CIRCLE,NY,3/15/1999 22:10 +Albuquerque,,SPHERE,NM,3/16/1999 11:40 +Fort Lauderdale,,TRIANGLE,FL,3/16/1999 13:00 +Germantown,,DIAMOND,OH,3/16/1999 23:30 +Iowa City,,TRIANGLE,IA,3/17/1999 4:30 +Moira,RED,LIGHT,NY,3/17/1999 19:30 +Boise,RED,,ID,3/17/1999 19:55 +Gurnee,,TRIANGLE,IL,3/17/1999 20:00 +Vernon,,CYLINDER,NJ,3/17/1999 20:15 +Chicago,,TRIANGLE,IL,3/17/1999 20:30 +Salt Lake City,YELLOW,CIRCLE,UT,3/17/1999 20:30 +Lake Almanor,,LIGHT,CA,3/17/1999 21:00 +Kissimmee,,OTHER,FL,3/18/1999 21:10 +Chicago,,OTHER,IL,3/19/1999 7:00 +Weaverville,,OTHER,NC,3/19/1999 16:20 +Baltimore,RED,FORMATION,MD,3/19/1999 19:15 +Augusta,RED,OVAL,GA,3/19/1999 23:30 +Lansing,,DISK,MI,3/20/1999 1:24 +Macon,,EGG,GA,3/20/1999 16:00 +Salt Lake City,,DISK,UT,3/20/1999 16:00 +Horseheads,,CHEVRON,NY,3/20/1999 20:15 +Poca,,SPHERE,WV,3/20/1999 20:30 +Oconomowoc,,FORMATION,WI,3/21/1999 0:02 +Rome,RED,,NY,3/21/1999 0:55 +Bristol,,DISK,VA,3/21/1999 22:00 +Knappa,,,OR,3/21/1999 22:48 +Jasper,,,AR,3/21/1999 23:00 +Hikilki,,OVAL,MN,3/22/1999 3:30 +Jackson,,LIGHT,MS,3/22/1999 21:00 +Dallas,,DISK,TX,3/22/1999 21:45 +Plymouth,,OVAL,MN,3/23/1999 3:00 +Vantage,,,WA,3/23/1999 14:00 +Colorado Springs,,SPHERE,CO,3/23/1999 14:15 +Palm Springs,,TRIANGLE,CA,3/23/1999 14:15 +Cross Lanes,,CYLINDER,WV,3/23/1999 18:15 +Chesapeake,ORANGE YELLOW,OVAL,VA,3/23/1999 19:22 +St. Petersburg,,CHEVRON,FL,3/23/1999 21:15 +Newport,BLUE,SPHERE,KY,3/23/1999 21:30 +Lincoln,,DISK,NE,3/24/1999 11:57 +Overland Park,,DIAMOND,KS,3/24/1999 20:00 +Pacific City,,SPHERE,OR,3/24/1999 20:30 +Longmont,,DISK,CO,3/24/1999 21:00 +Hillsboro,,DISK,OR,3/25/1999 13:20 +"Interstate 40, East Bound",,OVAL,NC,3/25/1999 20:50 +Erie,,FIREBALL,PA,3/26/1999 22:37 +Colorado Springs,,,CO,3/26/1999 22:53 +Bowie,RED YELLOW,LIGHT,MD,3/26/1999 23:30 +Wheeling,GREEN,FIREBALL,WV,3/27/1999 2:30 +Follansbee,,DISK,WV,3/27/1999 17:30 +Marstons Mills,,EGG,MA,3/27/1999 22:00 +Kent,RED,SPHERE,WA,3/28/1999 18:00 +Enola,GREEN,,PA,3/28/1999 19:30 +Harvey's Lake,,LIGHT,PA,3/28/1999 21:30 +Henderson,GREEN,FIREBALL,CO,3/28/1999 23:32 +Jenkins,GREEN,CHEVRON,KY,3/29/1999 2:00 +La Verne,,SPHERE,CA,3/29/1999 4:00 +Pacific Grove,,TRIANGLE,CA,3/29/1999 20:00 +Norfolk,,,VA,3/29/1999 22:00 +Pomona,RED,LIGHT,CA,3/29/1999 22:20 +Atlanta,,SPHERE,GA,3/30/1999 14:30 +Pittsburgh,RED GREEN,LIGHT,PA,3/30/1999 19:30 +Pittsburgh,RED,CONE,PA,3/30/1999 20:23 +Southington,,DISK,CT,3/30/1999 21:00 +Covington,GREEN,FIREBALL,WA,3/30/1999 21:08 +Carson,,DISK,CA,3/31/1999 0:39 +Compton,,EGG,CA,3/31/1999 18:00 +Montoursville,,CHEVRON,PA,3/31/1999 19:30 +Post,,,TX,3/31/1999 21:00 +Issaquah,GREEN,FIREBALL,WA,3/31/1999 21:30 +Seattle,RED,TRIANGLE,WA,3/31/1999 23:45 +"Encinitas: along I-5, from encinitas to oceanside over ocean",ORANGE,CIRCLE,CA,4/1/1999 0:00 +Fenton,,FLASH,MO,4/1/1999 15:30 +Orlando,,SPHERE,FL,4/1/1999 20:00 +Warrensburg,,RECTANGLE,NY,4/1/1999 20:00 +San Diego,,CIRCLE,CA,4/1/1999 22:45 +New York City,,OTHER,NY,4/1/1999 23:00 +Tijeras,,SPHERE,NM,4/2/1999 22:03 +Natchez,ORANGE,TRIANGLE,MS,4/2/1999 22:30 +St. Louis Park,,EGG,MN,4/2/1999 22:30 +Coral Gables,,,FL,4/3/1999 16:30 +Thornton,,LIGHT,CO,4/3/1999 20:04 +Converse,,LIGHT,TX,4/3/1999 23:16 +Bainbridge Island,,,WA,4/4/1999 21:30 +Liberty,,DISK,MO,4/4/1999 22:00 +La Mirada,,FIREBALL,CA,4/4/1999 22:20 +Fort Worth,,CIRCLE,TX,4/4/1999 23:00 +Pullman,,LIGHT,WA,4/5/1999 8:20 +Huntsville,,CIGAR,AL,4/5/1999 15:00 +Mineola,,CIRCLE,TX,4/5/1999 21:10 +Baltimore,,FIREBALL,MD,4/5/1999 21:40 +Valhermoso Springs,RED,OTHER,AL,4/5/1999 21:40 +Lettsworth,,LIGHT,LA,4/5/1999 22:45 +Liberty,,TRIANGLE,MO,4/5/1999 23:15 +Austin,,FIREBALL,TX,4/6/1999 10:38 +Fayetteville,ORANGE,LIGHT,AR,4/6/1999 20:40 +Lakewood,RED GREEN BLUE,OTHER,WA,4/6/1999 22:00 +Columbia Falls,,TRIANGLE,MT,4/6/1999 22:50 +Las Cruces,GREEN,OVAL,NM,4/7/1999 3:20 +Kamuela,,VARIOUS,HI,4/7/1999 8:37 +Waikoloa,,VARIOUS,HI,4/7/1999 8:40 +Fargo,,OTHER,ND,4/7/1999 13:30 +E. Falmouth,,TRIANGLE,MA,4/7/1999 22:58 +Cardiff-by-the-Sea,ORANGE,FIREBALL,CA,4/8/1999 0:00 +Glendale,ORANGE,TRIANGLE,WI,4/8/1999 1:45 +Ridgecrest,,VARIOUS,CA,4/8/1999 14:30 +Manhasset,,TRIANGLE,NY,4/8/1999 20:45 +Granite City,ORANGE,LIGHT,IL,4/8/1999 22:30 +Murfeesboro,,VARIOUS,TN,4/9/1999 9:45 +Edmond,,FIREBALL,OK,4/9/1999 23:44 +Marmora,ORANGE,,NJ,4/9/1999 23:45 +VLA Radio Telescope,,LIGHT,NM,4/10/1999 2:58 +Charlotte,,OTHER,NC,4/10/1999 19:30 +Grand Rapids,,TRIANGLE,MI,4/10/1999 20:00 +Pleasantville,RED,LIGHT,IA,4/10/1999 21:47 +Saratoga Lake,,OVAL,NY,4/10/1999 21:50 +Burke,,,VA,4/10/1999 22:00 +Huntington Beach,,OTHER,CA,4/11/1999 3:15 +Grove City,YELLOW GREEN,,OH,4/11/1999 4:00 +Winter Park,,CHEVRON,FL,4/11/1999 23:49 +Ramona,,LIGHT,CA,4/12/1999 8:30 +Tacoma,,LIGHT,WA,4/12/1999 21:30 +Poca,,SPHERE,WV,4/13/1999 20:50 +Gardena,,DISK,CA,4/13/1999 21:20 +Youngstown,,OVAL,OH,4/13/1999 22:30 +Oglesby,,LIGHT,IL,4/14/1999 0:00 +Oak Ridge,GREEN,OVAL,TN,4/14/1999 0:10 +Houston,,CHEVRON,TX,4/14/1999 0:45 +New York City,GREEN,LIGHT,NY,4/14/1999 20:15 +Milford,,CIRCLE,DE,4/14/1999 20:25 +Oakton,GREEN,FIREBALL,VA,4/14/1999 20:30 +Pomona,ORANGE,SPHERE,CA,4/14/1999 22:20 +Marathon Key,,TRIANGLE,FL,4/14/1999 23:45 +Wendover,,OVAL,UT,4/15/1999 4:30 +Charlottesville,,OTHER,VA,4/15/1999 7:00 +Modesto,,DISK,CA,4/15/1999 10:30 +St. Charles,,OTHER,MO,4/15/1999 13:00 +Clay City,,DISK,KY,4/15/1999 17:55 +Fyffe,,RECTANGLE,AL,4/15/1999 19:00 +Sunnyvale,,LIGHT,CA,4/15/1999 20:00 +Stone Mountain,,LIGHT,GA,4/15/1999 22:00 +Gaithersburg,GREEN,OVAL,MD,4/15/1999 23:45 +Bettendorf,,OTHER,IA,4/16/1999 20:30 +Ward,,SPHERE,AR,4/16/1999 20:50 +Dallas,,DISK,TX,4/16/1999 21:00 +Butte,RED,LIGHT,MT,4/16/1999 22:10 +Iowa City,,CIRCLE,IA,4/16/1999 23:00 +Decatur,RED,CIRCLE,IL,4/17/1999 13:20 +Vashon Island,,TRIANGLE,WA,4/17/1999 14:03 +Los Angeles,,TRIANGLE,CA,4/17/1999 21:00 +Parkersburg,,TRIANGLE,WV,4/17/1999 22:30 +Wolf Creek,,VARIOUS,UT,4/18/1999 2:00 +New Mexico,RED,OTHER,NM,4/18/1999 19:00 +Lakewood,,CHEVRON,CA,4/18/1999 20:15 +Apache Junction,,LIGHT,AZ,4/18/1999 21:00 +Ventura,,LIGHT,CA,4/18/1999 23:00 +Milford,,CIRCLE,CT,4/19/1999 2:00 +Houston,,,TX,4/19/1999 3:45 +Rialto,GREEN,DISK,CA,4/19/1999 20:10 +Plant City,GREEN,OVAL,FL,4/19/1999 21:05 +Clarington,,OTHER,PA,4/19/1999 22:10 +Santa Cruz,,FIREBALL,CA,4/20/1999 4:20 +Denver,,FIREBALL,CO,4/20/1999 5:55 +Rockingham,,TRIANGLE,NC,4/20/1999 20:00 +Santa Monica,,TRIANGLE,CA,4/20/1999 21:30 +Plattsburgh,,LIGHT,NY,4/20/1999 21:45 +Vantage,,OTHER,WA,4/21/1999 9:15 +West Palm Beach,,LIGHT,FL,4/21/1999 21:00 +Kennewick,RED,CIRCLE,WA,4/21/1999 21:05 +Valley,,FIREBALL,WA,4/21/1999 21:20 +Richland,,,WA,4/21/1999 21:30 +Addy,,FIREBALL,WA,4/21/1999 22:30 +Berkley,ORANGE,FIREBALL,MA,4/22/1999 4:00 +Fort Lauderdale,,LIGHT,FL,4/22/1999 5:30 +Battle Creek,,,MI,4/22/1999 9:00 +Piedmont,ORANGE,CIRCLE,MO,4/22/1999 20:00 +Ambridge,,RECTANGLE,PA,4/22/1999 21:43 +Albuquerque,RED,FIREBALL,NM,4/22/1999 22:50 +Albuquerque,,TRIANGLE,NM,4/22/1999 23:40 +Fargo,,TRIANGLE,ND,4/23/1999 2:30 +Wanamingo,,TRIANGLE,MN,4/23/1999 2:33 +Seattle,,LIGHT,WA,4/23/1999 23:25 +St. Peter,,TRIANGLE,MN,4/24/1999 0:30 +Columbus,ORANGE,CIRCLE,OH,4/24/1999 1:15 +Marion,,TEARDROP,NC,4/24/1999 2:00 +Suncrest,,TEARDROP,WA,4/24/1999 11:30 +Fitchburg,,DISK,MA,4/24/1999 14:00 +Indianola,RED,,WA,4/24/1999 14:04 +Las Vegas,,CHEVRON,NV,4/24/1999 21:00 +Las Vegas,,LIGHT,NV,4/24/1999 21:00 +Olympia,,OTHER,WA,4/24/1999 21:30 +Trout River,,LIGHT,MI,4/24/1999 23:00 +Yuma,,LIGHT,AZ,4/25/1999 2:30 +Walker,RED,LIGHT,MI,4/25/1999 4:04 +Summersville,,DISK,WV,4/25/1999 13:00 +Bowling Green,,CHEVRON,KY,4/25/1999 19:00 +Ann Arbor,,FORMATION,MI,4/25/1999 20:30 +Paia,RED,CYLINDER,HI,4/25/1999 23:30 +Model,YELLOW,LIGHT,CO,4/26/1999 22:15 +Audubon,,SPHERE,NJ,4/27/1999 0:01 +Loveland,ORANGE,CIRCLE,CO,4/27/1999 4:30 +Flagstaff,,TRIANGLE,AZ,4/27/1999 20:45 +Casa Grande,,OTHER,AZ,4/27/1999 21:00 +Santa Cruz,ORANGE,VARIOUS,CA,4/28/1999 20:29 +Santa Cruz,,FIREBALL,CA,4/28/1999 20:30 +Chicago,,LIGHT,IL,4/29/1999 23:45 +"Interstate between C. Girardeau, MO",,OTHER,MO,4/30/1999 0:00 +Novato,BLUE,FIREBALL,CA,4/30/1999 1:30 +Cairo,BLUE,DISK,WV,4/30/1999 9:30 +Findley Lake,,CIRCLE,NY,4/30/1999 14:45 +San Bernardino,,TRIANGLE,CA,5/1/1999 3:00 +Snohomish,,OTHER,WA,5/1/1999 3:00 +Louisville,,CIRCLE,KY,5/1/1999 10:10 +Seattle,,OVAL,WA,5/1/1999 10:55 +Moultrie,,DISK,GA,5/1/1999 11:30 +Terre Haute,,SPHERE,IN,5/1/1999 14:00 +Lewisburg,,TRIANGLE,PA,5/1/1999 17:00 +Northport,,,NY,5/1/1999 21:00 +Portales,,FORMATION,NM,5/1/1999 21:00 +Van Buren,,FIREBALL,AR,5/1/1999 21:10 +Cape Canaveral,,CIRCLE,FL,5/1/1999 22:00 +Greenville,,FIREBALL,IL,5/1/1999 22:00 +Houston,RED,LIGHT,TX,5/1/1999 22:00 +Sherwood,,LIGHT,MI,5/1/1999 22:00 +Slinger,,LIGHT,WI,5/1/1999 22:00 +Cleveland,,DIAMOND,OH,5/1/1999 23:10 +Hollywood,,TEARDROP,FL,5/1/1999 23:50 +Chicago,,OTHER,IL,5/2/1999 13:30 +Lake Elsinore,,OTHER,CA,5/2/1999 15:30 +McEwen,,LIGHT,TN,5/2/1999 20:20 +Kingsland,,TRIANGLE,GA,5/2/1999 22:00 +Cape Cod,ORANGE,LIGHT,MA,5/2/1999 23:00 +Lebanon,YELLOW GREEN BLUE,CYLINDER,MO,5/2/1999 23:00 +Oklahoma City,,,OK,5/3/1999 17:00 +Oklahoma City,,FLASH,OK,5/3/1999 18:00 +Santa Rosa,,TRIANGLE,CA,5/3/1999 21:40 +Richmond,,DISK,VA,5/4/1999 17:45 +Margate,ORANGE,FIREBALL,FL,5/4/1999 19:52 +Orlando,,OTHER,FL,5/5/1999 2:00 +Boston,,LIGHT,MA,5/5/1999 3:00 +Blytheville,,LIGHT,AR,5/5/1999 18:00 +Littleton,,CHEVRON,CO,5/5/1999 21:30 +Walstonburg,,OTHER,NC,5/5/1999 21:45 +Kaneohe,GREEN,SPHERE,HI,5/5/1999 22:00 +San Jose,RED,LIGHT,CA,5/5/1999 22:30 +Phoenix,,LIGHT,AZ,5/5/1999 23:00 +Cranston,,EGG,RI,5/6/1999 4:30 +Anchorage,,DISK,AK,5/6/1999 13:30 +East Derry,,LIGHT,NH,5/6/1999 16:34 +Memphis,,OTHER,TN,5/6/1999 17:33 +Delhi,YELLOW,VARIOUS,CO,5/6/1999 20:00 +Vincennes,,CIRCLE,IN,5/6/1999 23:00 +Little Rock,,TRIANGLE,AR,5/6/1999 23:50 +Cherry Grove,,VARIOUS,NY,5/7/1999 0:30 +Phoenix,,SPHERE,AZ,5/7/1999 10:00 +Roy,,VARIOUS,UT,5/7/1999 22:30 +Nikiski,,OTHER,AK,5/8/1999 0:00 +Santa Ana,,VARIOUS,CA,5/8/1999 10:12 +Everett,RED,LIGHT,WA,5/8/1999 23:30 +Tarrant,,TRIANGLE,AL,5/8/1999 23:40 +Monte Rio,ORANGE,LIGHT,CA,5/9/1999 22:00 +East Liverpool,,DISK,OH,5/9/1999 23:00 +Oak Ridge,,TRIANGLE,NC,5/10/1999 3:00 +Tulsa,,,OK,5/10/1999 3:15 +Howell Township,,TRIANGLE,NJ,5/10/1999 7:30 +Little Rock,,TRIANGLE,AR,5/10/1999 11:30 +Memphis,,DISK,TN,5/10/1999 12:15 +Spencer,,LIGHT,NY,5/10/1999 21:00 +Forest Hills,,TRIANGLE,NY,5/10/1999 22:15 +"Grantsville, W.V.",,TEARDROP,WV,5/10/1999 22:30 +Marietta,,CIRCLE,GA,5/11/1999 4:35 +Corcoran,GREEN,OTHER,CA,5/11/1999 9:30 +Wichita,BLUE,LIGHT,KS,5/11/1999 20:10 +Monroe,,LIGHT,LA,5/11/1999 23:15 +Tarrant,,TRIANGLE,AL,5/11/1999 23:40 +Bloomington,ORANGE,LIGHT,IN,5/12/1999 0:00 +Potsdam,,SPHERE,NY,5/12/1999 20:55 +Salem,,CYLINDER,OR,5/12/1999 21:20 +Douglason,YELLOW,LIGHT,NY,5/12/1999 22:00 +Terre Haute,,TRIANGLE,IN,5/13/1999 1:15 +Memphis,,SPHERE,TN,5/13/1999 16:30 +Bellevue,,CIRCLE,NE,5/13/1999 19:00 +Neenah,,CIRCLE,WI,5/13/1999 19:10 +Tomahawk,,,WI,5/13/1999 19:30 +Memphis,,OTHER,TN,5/13/1999 21:00 +Punta Gorda,,LIGHT,FL,5/13/1999 21:00 +Selah,,LIGHT,WA,5/13/1999 21:00 +Marion,,CIRCLE,OH,5/13/1999 22:00 +Dixon,,TRIANGLE,IL,5/14/1999 0:00 +Hot Springs,BLUE,OTHER,AR,5/14/1999 0:15 +Woburn,,CIRCLE,MA,5/14/1999 3:00 +America West flt 2620,,OTHER,CA,5/14/1999 9:18 +Hiram,,OTHER,GA,5/14/1999 21:00 +Macomb,,FORMATION,IL,5/14/1999 22:00 +Fair Grove,,DISK,MO,5/15/1999 1:00 +Sturgis,,,MI,5/15/1999 1:15 +Palm Desert,ORANGE,VARIOUS,CA,5/15/1999 2:45 +York,RED,CYLINDER,PA,5/15/1999 10:00 +Ashtabula,,CIGAR,OH,5/15/1999 12:00 +Western Grove,BLUE,FIREBALL,AR,5/15/1999 17:30 +Atlanta,,DISK,GA,5/15/1999 18:27 +Derry,,DISK,NH,5/15/1999 22:00 +Wolfeboro,,LIGHT,NH,5/15/1999 22:30 +Massillon,,LIGHT,OH,5/15/1999 23:15 +Central Islip,,OVAL,NY,5/16/1999 0:30 +Dayton,,,OH,5/16/1999 12:45 +Silver Lake,,LIGHT,WI,5/16/1999 19:00 +North Orlando,,LIGHT,FL,5/16/1999 20:30 +San Antonio,,LIGHT,TX,5/16/1999 21:27 +Manchester,,TRIANGLE,NH,5/16/1999 22:30 +Royal Oak,,TRIANGLE,MI,5/17/1999 20:10 +San Antonio,,FIREBALL,TX,5/18/1999 0:00 +Renton,,DISK,WA,5/18/1999 7:36 +Tombstone,,EGG,AZ,5/18/1999 14:00 +Tombstone,,EGG,AZ,5/18/1999 14:00 +Fairview,,LIGHT,TN,5/18/1999 21:30 +Ventura,,OVAL,CA,5/18/1999 21:48 +Douglas,,EGG,GA,5/18/1999 22:00 +Keithville,RED,LIGHT,LA,5/18/1999 22:00 +Salt Lake City,,TRIANGLE,UT,5/18/1999 22:45 +Nashville,,CHEVRON,TN,5/18/1999 22:50 +Deerfield,,,IN,5/19/1999 1:00 +Des Moines,YELLOW,LIGHT,IA,5/19/1999 1:00 +Bakersfield,,CIRCLE,CA,5/19/1999 2:00 +Anaheim,,OVAL,CA,5/19/1999 15:30 +San Diego,,TRIANGLE,CA,5/19/1999 17:00 +Buckley,,OTHER,WA,5/19/1999 22:00 +Union City,RED BLUE,OTHER,TN,5/19/1999 22:00 +Fort Hood,ORANGE YELLOW,,TX,5/20/1999 4:45 +Roanoke Rapids,,CYLINDER,NC,5/20/1999 7:35 +Cartwright,,RECTANGLE,ND,5/20/1999 14:00 +Killeen,,SPHERE,TX,5/20/1999 17:45 +Jonesboro,,SPHERE,IN,5/20/1999 18:00 +Madison,,CONE,WI,5/20/1999 20:00 +Montrose,,CIRCLE,IL,5/20/1999 20:00 +Panama City,,TRIANGLE,FL,5/20/1999 23:00 +Panama City Beach,,TRIANGLE,FL,5/20/1999 23:00 +Flippin,,TRIANGLE,AR,5/20/1999 23:38 +Seattle,,LIGHT,WA,5/21/1999 3:00 +Marion,,SPHERE,OH,5/21/1999 16:00 +Patterson,,LIGHT,CA,5/21/1999 20:30 +Carmel Valley,,RECTANGLE,CA,5/22/1999 2:38 +Andrade,,FIREBALL,CA,5/22/1999 2:40 +US Hwy 200 between MP 39,,LIGHT,ID,5/22/1999 3:10 +Lansdowne,BLUE,FLASH,PA,5/22/1999 12:09 +Sacramento area,,OTHER,CA,5/22/1999 21:05 +Columbia,,LIGHT,MO,5/22/1999 21:15 +Greenwater,GREEN,,WA,5/22/1999 23:15 +Austin,,LIGHT,TX,5/23/1999 2:10 +Spanaway,,OTHER,WA,5/23/1999 16:00 +Lyle,,CIRCLE,WA,5/23/1999 23:40 +Glendale,,DISK,AZ,5/24/1999 11:00 +Anaheim,,,CA,5/24/1999 18:00 +Wilmington,,FORMATION,NC,5/24/1999 21:55 +Colville,,CIRCLE,WA,5/24/1999 22:15 +Lorian,,FIREBALL,OH,5/25/1999 2:45 +Poulsbo,,CIGAR,WA,5/25/1999 19:30 +Bellevue,,CYLINDER,WA,5/26/1999 13:00 +Arco,,CIRCLE,ID,5/26/1999 15:00 +Wacker City,,,AK,5/26/1999 18:00 +Tustin,,SPHERE,CA,5/26/1999 22:00 +Theodore Roosevelt National Park exit 32 on I-94 North Dakot,,OTHER,ND,5/26/1999 22:05 +Omaha,,,NE,5/27/1999 3:00 +Troy,,CIGAR,OH,5/27/1999 13:45 +"Interstate 10, somewhere by the border",,FIREBALL,CA,5/27/1999 22:31 +Bothell,,LIGHT,WA,5/27/1999 22:40 +Lansdowne,ORANGE,LIGHT,PA,5/27/1999 22:54 +Half Moon Bay,ORANGE,,CA,5/28/1999 2:00 +Olympic Mountains,,DISK,WA,5/29/1999 20:30 +Cheraw,,TRIANGLE,CO,5/29/1999 21:00 +Las Vegas,,FORMATION,NV,5/29/1999 21:00 +Westport,,SPHERE,WA,5/29/1999 21:00 +Hermiston,,,OR,5/30/1999 10:00 +El Paso,,SPHERE,TX,5/30/1999 13:10 +Lawndale,,CIRCLE,CA,5/30/1999 18:00 +Paso Robles,ORANGE,CIGAR,CA,5/30/1999 20:15 +Vestal,,CYLINDER,NY,5/30/1999 20:20 +Longview,RED,FORMATION,WA,5/30/1999 22:15 +Allen,,VARIOUS,OK,5/30/1999 22:35 +Colorado Springs,,CYLINDER,CO,5/31/1999 19:15 +Pekin,,LIGHT,IL,5/31/1999 21:00 +Andover,,,MA,6/1/1999 0:00 +Fremont,GREEN,LIGHT,MI,6/1/1999 0:00 +Bellevue,,CIRCLE,WA,6/1/1999 0:05 +Washington,,FIREBALL,CA,6/1/1999 0:42 +Breckenridge,,DISK,MN,6/1/1999 1:00 +Gig Harbor,,CIRCLE,WA,6/1/1999 1:00 +Guilford,,,CT,6/1/1999 1:00 +South Jordan,,CIRCLE,UT,6/1/1999 1:00 +Lorain,,LIGHT,OH,6/1/1999 2:00 +Rocky Hill,,SPHERE,CT,6/1/1999 2:00 +Rowland Heights,,LIGHT,CA,6/1/1999 2:00 +Venice,,DISK,FL,6/1/1999 2:00 +Renton,,DISK,WA,6/1/1999 12:00 +Tucson,,OTHER,AZ,6/1/1999 12:00 +Georgetown,,OTHER,IL,6/1/1999 14:00 +Los Osos,,CYLINDER,CA,6/1/1999 15:00 +East Stroudsburg,,CIGAR,PA,6/1/1999 15:14 +Woodstock,,,GA,6/1/1999 15:30 +Marlborough,,SPHERE,MA,6/1/1999 16:00 +Batavia,,LIGHT,OH,6/1/1999 19:00 +Gonzales,,VARIOUS,CA,6/1/1999 19:00 +Merced,,CIRCLE,CA,6/1/1999 19:00 +Sylmar,,RECTANGLE,CA,6/1/1999 19:00 +Roslindale,,LIGHT,MA,6/1/1999 20:00 +Spokane,,LIGHT,WA,6/1/1999 20:15 +Reston,RED,DISK,VA,6/1/1999 21:00 +Sandusky,,RECTANGLE,OH,6/1/1999 21:00 +Portsmouth,,OVAL,NH,6/1/1999 21:30 +Dayton,,SPHERE,OH,6/1/1999 22:00 +Lost Park area,RED,OTHER,CO,6/1/1999 22:00 +Merrill,,LIGHT,WI,6/1/1999 22:00 +Middletown,,TRIANGLE,DE,6/1/1999 22:00 +Townsend,,,DE,6/1/1999 22:00 +Greenville,,FIREBALL,IL,6/1/1999 22:30 +River Ridge,,CIRCLE,LA,6/1/1999 22:30 +Corpus Christi,,OTHER,TX,6/1/1999 22:45 +Bristol,,LIGHT,TN,6/1/1999 23:00 +Franklin,,TRIANGLE,TN,6/1/1999 23:00 +Bellevue,,,WA,6/2/1999 7:50 +Daytona Beach,,TRIANGLE,FL,6/2/1999 21:10 +Olympia,,CHEVRON,WA,6/2/1999 21:30 +Hillsboro,,TRIANGLE,OR,6/3/1999 0:44 +Burlington,,OTHER,WV,6/3/1999 13:30 +Sylmar,,OVAL,CA,6/3/1999 14:00 +Thornton,,TRIANGLE,CO,6/3/1999 19:55 +Delavan,RED BLUE,CIRCLE,WI,6/3/1999 22:00 +Mount Shasta City,,LIGHT,CA,6/3/1999 22:10 +Post Falls,,TRIANGLE,ID,6/3/1999 22:45 +Florida Panhandle,,,FL,6/4/1999 0:00 +Phoenix,,OVAL,AZ,6/4/1999 8:35 +Lake Conroe,,LIGHT,TX,6/4/1999 21:42 +Somerville,,LIGHT,NJ,6/4/1999 23:15 +Des Moines,,OTHER,IA,6/5/1999 2:00 +Wilmington,,EGG,DE,6/5/1999 15:00 +Medina,,LIGHT,TX,6/5/1999 23:30 +Huntsville,,FLASH,AL,6/5/1999 23:45 +Machesney Park,,LIGHT,IL,6/6/1999 3:40 +Meyers-Tahoe paradise,,VARIOUS,CA,6/6/1999 7:00 +Royal Plam Beach,,SPHERE,FL,6/6/1999 17:30 +Hollywood,,CIRCLE,CA,6/6/1999 19:00 +Sacramento,,,CA,6/6/1999 19:00 +Frankfort,,TRIANGLE,IL,6/6/1999 21:15 +Bangor,,LIGHT,ME,6/6/1999 22:00 +Pleasanton,,FIREBALL,CA,6/6/1999 22:00 +Virginia,,CIGAR,VA,6/6/1999 22:00 +Santa Monica,,FORMATION,CA,6/6/1999 22:29 +Spranger,GREEN,FIREBALL,CO,6/7/1999 4:15 +Vancouver,,SPHERE,WA,6/7/1999 19:30 +Hollywood,,CYLINDER,FL,6/7/1999 21:00 +Orem,,DIAMOND,UT,6/7/1999 21:50 +Cortez,,CIRCLE,CO,6/7/1999 22:15 +Cortez,,LIGHT,CO,6/7/1999 22:15 +Jacksonville,,OTHER,FL,6/8/1999 0:30 +Reno,,OTHER,NV,6/8/1999 2:00 +Manchester,BLUE,RECTANGLE,NH,6/8/1999 10:45 +Rochester,GREEN,OTHER,NY,6/8/1999 11:10 +Elkhart,,LIGHT,IN,6/8/1999 18:00 +Pasco,,LIGHT,WA,6/8/1999 22:30 +Newburg,RED,,PA,6/9/1999 0:30 +The Colony,RED,,TX,6/9/1999 1:10 +Phoenix,,LIGHT,AZ,6/9/1999 20:50 +Las Vegas,,LIGHT,NV,6/9/1999 21:14 +Las Vegas,RED,LIGHT,NV,6/9/1999 21:15 +Redondo Beach,,,CA,6/9/1999 21:58 +Everett,,DISK,WA,6/9/1999 22:00 +"Johnson Park, NE CA.,Shasta Co., calif",,CIRCLE,CA,6/9/1999 22:22 +Sacramento,,LIGHT,CA,6/9/1999 23:43 +Firth,,DISK,ID,6/10/1999 0:00 +Tupelo,,SPHERE,MS,6/10/1999 7:20 +Sleepy Hollow,,CIRCLE,NY,6/10/1999 22:21 +Alburquerqe,,LIGHT,NM,6/10/1999 22:30 +Springfield,,LIGHT,MO,6/10/1999 22:40 +Riverton,,TRIANGLE,WY,6/10/1999 23:00 +Shenandoah County,,SPHERE,VA,6/10/1999 23:30 +Cuba,,TRIANGLE,NM,6/10/1999 23:50 +Little Rock,,TRIANGLE,AR,6/11/1999 0:15 +Plain City,,LIGHT,OH,6/11/1999 4:00 +Wallkill,,TRIANGLE,NY,6/11/1999 22:40 +Salem,,FLASH,NH,6/11/1999 23:00 +Barksdale AFB,,TRIANGLE,LA,6/12/1999 1:00 +Shrewsbury,,OTHER,MA,6/12/1999 10:30 +Tomonium,,OTHER,MD,6/12/1999 12:03 +Wichita,,CYLINDER,KS,6/12/1999 20:30 +Los Angeles,,LIGHT,CA,6/12/1999 22:00 +Mecosta,,SPHERE,MI,6/12/1999 22:30 +Plainfield,,LIGHT,IL,6/12/1999 23:30 +Kent,BLUE,LIGHT,WA,6/12/1999 23:45 +Medina,,LIGHT,TX,6/13/1999 11:30 +Arvada,,LIGHT,CO,6/13/1999 20:00 +Latrobe,,OTHER,CA,6/13/1999 23:00 +La Verne,ORANGE,LIGHT,CA,6/13/1999 23:22 +Tacoma,,,WA,6/13/1999 23:37 +Weidman,,OTHER,MI,6/13/1999 23:50 +Hilmar,,TRIANGLE,CA,6/14/1999 0:10 +Ontario,,,NY,6/14/1999 1:00 +Kennewick,ORANGE,SPHERE,WA,6/14/1999 19:00 +Port Aransas,,LIGHT,TX,6/14/1999 21:30 +Bellingham,,FORMATION,WA,6/14/1999 23:45 +Acworth,,LIGHT,GA,6/15/1999 0:00 +Ashville,,LIGHT,OH,6/15/1999 0:00 +Heyworth,,CIRCLE,IL,6/15/1999 0:05 +Reno,,TRIANGLE,NV,6/15/1999 2:30 +Corpus Christi,,TRIANGLE,TX,6/15/1999 3:00 +Salt Lake City,,TRIANGLE,UT,6/15/1999 8:15 +Ontario,,EGG,CA,6/15/1999 11:00 +Inglis,,DISK,FL,6/15/1999 12:00 +Omaha,,FIREBALL,NE,6/15/1999 12:00 +St. Charles,,RECTANGLE,MO,6/15/1999 12:00 +Tamaqua,,DISK,PA,6/15/1999 13:00 +Fort Wayne,YELLOW,OVAL,IN,6/15/1999 15:00 +Noblesville,,CIRCLE,IN,6/15/1999 15:00 +Martinez,RED,SPHERE,CA,6/15/1999 16:00 +Rome,,OTHER,GA,6/15/1999 17:15 +Silverton,,CIGAR,TX,6/15/1999 18:00 +Northern Oglala,,FLASH,SD,6/15/1999 19:00 +Great River,,DISK,NY,6/15/1999 20:00 +Ridgewood,,LIGHT,NJ,6/15/1999 20:00 +Waterbury,,LIGHT,CT,6/15/1999 20:00 +Oldsmar,GREEN,FIREBALL,FL,6/15/1999 21:00 +Phoenix,RED,TRIANGLE,AZ,6/15/1999 21:30 +Farwell,,LIGHT,TX,6/15/1999 22:00 +New Haven,,SPHERE,WV,6/15/1999 22:00 +On highway; location unknown,,OTHER,WY,6/15/1999 22:00 +Santa Maria,,OVAL,CA,6/15/1999 22:00 +Lone Pine,BLUE,,CA,6/15/1999 23:00 +Point Pleasant,,TRIANGLE,WV,6/15/1999 23:30 +Columbus,,,OH,6/16/1999 11:35 +Savannah,,OTHER,GA,6/16/1999 21:00 +Lincoln City,,LIGHT,OR,6/16/1999 23:00 +Potomac,,LIGHT,IL,6/16/1999 23:45 +Iron Moutain,,DISK,MI,6/17/1999 12:00 +Santee,,SPHERE,CA,6/17/1999 17:40 +Laguna Vista,,DISK,TX,6/17/1999 20:00 +Council Bluffs,,CIRCLE,IA,6/17/1999 21:03 +Boulder,,LIGHT,CO,6/17/1999 22:00 +Lenior City,,FIREBALL,TN,6/17/1999 23:00 +Evansville,,LIGHT,IN,6/17/1999 23:30 +Grand Canyon,,CIGAR,NV,6/18/1999 1:22 +Galveston,,FORMATION,TX,6/18/1999 4:32 +Miami,BLUE,CIGAR,FL,6/18/1999 5:45 +Hamburg,,DISK,PA,6/18/1999 13:00 +Portland,,CIGAR,OR,6/18/1999 14:00 +New York City,,DISK,NY,6/18/1999 17:15 +Vestal,,CYLINDER,NY,6/18/1999 20:17 +Fallon,,LIGHT,NV,6/18/1999 21:45 +Woodside,,FIREBALL,CA,6/18/1999 21:46 +Kansas City,,DISK,MO,6/19/1999 1:00 +Honolulu,,OTHER,HI,6/19/1999 1:54 +Maricopa,,CIGAR,AZ,6/19/1999 11:45 +Corpus Christi,,CIRCLE,TX,6/19/1999 19:00 +Alvord,RED GREEN,,OR,6/19/1999 22:00 +Sacramento,,LIGHT,CA,6/19/1999 22:05 +Spring Valley,,CIRCLE,CA,6/19/1999 22:20 +Westchester,,OTHER,IL,6/19/1999 23:59 +Boise,RED,OTHER,ID,6/20/1999 1:20 +Boise,,LIGHT,ID,6/20/1999 1:40 +Lathorp,,SPHERE,CA,6/20/1999 2:34 +Bridgeport,,LIGHT,CT,6/20/1999 4:30 +Port Hadlock,,CIRCLE,WA,6/20/1999 8:30 +Pinecastle,,CYLINDER,FL,6/20/1999 10:00 +McKees Rocks,,RECTANGLE,PA,6/20/1999 15:00 +Las Vegas,,OVAL,NV,6/20/1999 20:00 +Laramie,BLUE,,WY,6/20/1999 23:00 +Palmetto,,CIRCLE,GA,6/20/1999 23:00 +Three Forks,,FIREBALL,MT,6/20/1999 23:00 +Rockford,,DISK,IL,6/20/1999 23:30 +Bradenton,,LIGHT,FL,6/20/1999 23:59 +Nicholasville,,LIGHT,KY,6/21/1999 0:10 +Nicholasville,RED YELLOW,TRIANGLE,KY,6/21/1999 0:15 +El Cajon,,,CA,6/21/1999 2:30 +Hiko,BLUE,SPHERE,NV,6/21/1999 18:30 +Louisville,RED,,KY,6/22/1999 19:15 +Reston,,SPHERE,VA,6/22/1999 22:33 +North Freedom,,LIGHT,WI,6/22/1999 23:30 +Orchard Park,,DISK,NY,6/23/1999 4:21 +Grants Pass,,CIRCLE,OR,6/23/1999 11:35 +San Diego,,CIRCLE,CA,6/23/1999 19:00 +Virginia Beach,,LIGHT,VA,6/23/1999 22:30 +South Royalton,,CIRCLE,VT,6/24/1999 0:00 +Seattle,,SPHERE,WA,6/24/1999 1:08 +West Hollywood,,SPHERE,CA,6/24/1999 16:00 +Minneapolis,,LIGHT,MN,6/24/1999 16:35 +Quincy,RED,VARIOUS,IL,6/24/1999 21:00 +Snake Creek,ORANGE,OVAL,NV,6/24/1999 21:00 +Bouse,,CYLINDER,AZ,6/24/1999 21:50 +Anderson,,EGG,CA,6/25/1999 0:00 +Oak Park,,OTHER,IL,6/25/1999 18:30 +Idaho Falls,,,ID,6/25/1999 22:00 +Huntsville,,OVAL,AL,6/25/1999 22:23 +Lamar,,,CO,6/26/1999 10:22 +San Fransisco Bay Area,,OTHER,CA,6/26/1999 12:30 +Seattle,,DISK,WA,6/26/1999 17:15 +Sacramento,,LIGHT,CA,6/26/1999 20:20 +Hesperia,,FIREBALL,CA,6/27/1999 0:14 +Overland Park,,CIRCLE,KS,6/27/1999 22:00 +Port Angeles,,SPHERE,WA,6/27/1999 22:30 +Fort Defiance,,OTHER,VA,6/27/1999 23:25 +Vacaville,,DIAMOND,CA,6/27/1999 23:30 +Ashland,,TRIANGLE,ME,6/27/1999 23:42 +Gulf of Mexico,,,FL,6/28/1999 13:30 +Colorado Springs,,TRIANGLE,CO,6/28/1999 21:00 +Cedar Park,,CYLINDER,TX,6/28/1999 21:30 +Jasper,,TRIANGLE,OR,6/28/1999 22:30 +Springfield,,CIGAR,IL,6/29/1999 12:50 +Navajo Lake,,CIGAR,NM,6/29/1999 16:00 +Pennsauken,,LIGHT,NJ,6/29/1999 21:30 +New Carlisle,,,IN,6/29/1999 22:15 +Phoenix,,RECTANGLE,AZ,6/29/1999 22:15 +Shingletown,RED BLUE,CIRCLE,CA,6/30/1999 0:00 +Cherry Hill,,OVAL,NJ,6/30/1999 0:20 +Tacoma,,,WA,6/30/1999 2:00 +Carrollton,,SPHERE,MO,6/30/1999 7:00 +Lombard,,SPHERE,IL,6/30/1999 20:30 +Port Isabel,,OVAL,TX,6/30/1999 21:00 +Mississippi,ORANGE,LIGHT,MS,6/30/1999 23:00 +Herron Lake State Park,,CIGAR,NM,6/30/1999 23:20 +Morganton,,DIAMOND,NC,7/1/1999 0:00 +Phoenix,,,AZ,7/1/1999 6:00 +Florence,,CIGAR,OR,7/1/1999 15:00 +Junction City,,LIGHT,AR,7/1/1999 15:30 +Birmingham,,FLASH,AL,7/1/1999 19:00 +Dannemora,ORANGE,,NY,7/1/1999 19:00 +Spokane,,SPHERE,WA,7/1/1999 19:00 +Charlotte,,OTHER,NC,7/1/1999 19:30 +Clover,,LIGHT,SC,7/1/1999 21:20 +Waltham,,TRIANGLE,MA,7/1/1999 21:30 +Coso Junction,GREEN,LIGHT,CA,7/1/1999 22:00 +Salida,,CIGAR,CO,7/1/1999 22:00 +Salida,,CIGAR,CO,7/1/1999 22:05 +Buffalo,,CYLINDER,WY,7/1/1999 22:30 +Charalton,,LIGHT,NY,7/1/1999 23:00 +Green River,,OTHER,WY,7/1/1999 23:00 +Greenville,,FIREBALL,IL,7/1/1999 23:00 +Plano,RED GREEN,,TX,7/2/1999 0:05 +Troy,,CIGAR,AL,7/2/1999 11:30 +St. Paul,,OTHER,MN,7/2/1999 12:00 +Luna Pier,,SPHERE,MI,7/2/1999 14:00 +Las Vegas,,TRIANGLE,NV,7/2/1999 21:00 +Greenwood,,DISK,IN,7/2/1999 21:30 +Meadville,,LIGHT,PA,7/2/1999 23:25 +Grand Rapids,,LIGHT,MI,7/2/1999 23:54 +Albuquerque,,,NM,7/3/1999 1:30 +Bedford,RED,LIGHT,MA,7/3/1999 18:00 +Laughlin,,LIGHT,AZ,7/3/1999 20:00 +Alamosa,,LIGHT,CO,7/3/1999 21:20 +"Medicine Bow National Mountains, Medicine Bow National Fores",,FLASH,WY,7/3/1999 21:45 +Johnson City,,,TN,7/4/1999 0:00 +Fremont,RED,CIRCLE,OH,7/4/1999 11:00 +Sacramento,,OTHER,CA,7/4/1999 15:30 +Arcadia,RED,,CA,7/4/1999 21:00 +Culver City,,OTHER,CA,7/4/1999 21:00 +Pine Ridge,YELLOW,LIGHT,SD,7/4/1999 21:00 +Dillard,,FLASH,GA,7/4/1999 21:30 +Lackawanna,RED,DIAMOND,NY,7/4/1999 21:30 +Lackawanna,RED,OTHER,NY,7/4/1999 21:30 +Northport,,LIGHT,AL,7/4/1999 21:30 +Little Rock,RED,LIGHT,AR,7/4/1999 21:50 +Millstadt,,,IL,7/4/1999 22:00 +Pauls Valley,,SPHERE,OK,7/4/1999 22:00 +Humboldt,,LIGHT,IA,7/4/1999 23:00 +Mount Pleasant,ORANGE,CIGAR,SC,7/4/1999 23:00 +Fort Bidwell,,LIGHT,CA,7/4/1999 23:30 +Lovingston,,,VA,7/4/1999 23:45 +Wachapreague,,CIGAR,VA,7/4/1999 23:59 +Morgantown,,VARIOUS,PA,7/5/1999 0:05 +Knotts Island,,,NC,7/5/1999 0:07 +State College,,OTHER,PA,7/5/1999 0:15 +Virginia Beach,,LIGHT,VA,7/5/1999 0:15 +Annapolis,YELLOW,FIREBALL,MD,7/5/1999 0:30 +Peabels,,,OH,7/5/1999 1:00 +Chicago,,CIGAR,IL,7/5/1999 15:00 +East Hoquiam,,,WA,7/5/1999 23:00 +Cranston,,EGG,RI,7/6/1999 0:00 +Rochester,,EGG,WA,7/6/1999 11:15 +Tacoma,,CIGAR,WA,7/6/1999 14:23 +Yakima,,SPHERE,WA,7/6/1999 14:30 +Newton,,SPHERE,IA,7/6/1999 20:30 +Omaha,,TRIANGLE,NE,7/6/1999 22:00 +Stokes County,,CHEVRON,NC,7/6/1999 22:30 +Pasco,,FLASH,WA,7/6/1999 22:40 +Kaukauna,RED,TRIANGLE,WI,7/6/1999 22:50 +North Hampton,,,NH,7/7/1999 2:30 +San Jose,,,CA,7/7/1999 3:00 +Barrington Hills,,,IL,7/7/1999 3:52 +Loomis,,LIGHT,CA,7/7/1999 4:15 +Lisbon,,LIGHT,OH,7/7/1999 11:23 +Woods Hole,,DISK,MA,7/7/1999 12:30 +Seattle,,LIGHT,WA,7/7/1999 16:30 +Charlotte,,VARIOUS,NC,7/7/1999 21:00 +Tampa,,FIREBALL,FL,7/7/1999 21:30 +Bald Eagle Lake,GREEN,FIREBALL,MN,7/7/1999 23:00 +Jeromesville,,FLASH,OH,7/7/1999 23:05 +Des Moines,,LIGHT,IA,7/7/1999 23:15 +Grissom AFB,,EGG,IN,7/7/1999 23:39 +Plymouth,,CIRCLE,WI,7/8/1999 10:25 +Crown Point,,OTHER,IN,7/8/1999 13:15 +Pottstown,BLUE,SPHERE,PA,7/8/1999 21:45 +Sheridan,RED BLUE,TRIANGLE,IN,7/8/1999 22:00 +Salem,,VARIOUS,OR,7/8/1999 22:21 +Healdsburg,ORANGE,LIGHT,CA,7/8/1999 22:30 +Ledyard,,LIGHT,CT,7/8/1999 22:30 +Colonial Heights,,LIGHT,VA,7/8/1999 22:35 +Mentor,,SPHERE,OH,7/9/1999 15:00 +Trinidad,,FIREBALL,CO,7/9/1999 20:00 +Seattle,,LIGHT,WA,7/9/1999 20:35 +Stone Mountain,,LIGHT,GA,7/9/1999 21:40 +Spring,,LIGHT,TX,7/9/1999 22:15 +Woodburn,,FIREBALL,OR,7/9/1999 22:45 +Cascade,,LIGHT,ID,7/9/1999 23:00 +Seabeck,,OTHER,WA,7/9/1999 23:30 +Columbus,,LIGHT,OH,7/10/1999 0:55 +Vancouver,ORANGE,CIRCLE,WA,7/10/1999 0:55 +Omaha,,TEARDROP,NE,7/10/1999 7:20 +San Diego,,SPHERE,CA,7/10/1999 15:00 +Tucson,,EGG,AZ,7/10/1999 17:10 +Portland,,CIGAR,OR,7/10/1999 18:00 +Green Acres,,FIREBALL,OR,7/10/1999 22:00 +Dousman,,SPHERE,WI,7/10/1999 22:30 +Seattle,RED BLUE,LIGHT,WA,7/10/1999 22:30 +Newberg,RED,CIRCLE,OR,7/10/1999 22:45 +New York City,,LIGHT,NY,7/11/1999 4:30 +Baileys Cross Roads,,OVAL,VA,7/11/1999 17:30 +Sayreville,ORANGE,OVAL,NJ,7/11/1999 18:30 +Manassas,,SPHERE,VA,7/11/1999 22:00 +Grandview,,FLASH,WA,7/11/1999 23:00 +Nicholasville,,TRIANGLE,KY,7/11/1999 23:20 +Nicholasville,,,KY,7/11/1999 23:40 +Santa Cruz,,CIRCLE,CA,7/12/1999 1:10 +Canterbury,RED ORANGE,CIRCLE,NH,7/12/1999 1:30 +Arlington,,,TX,7/12/1999 10:15 +Chico,,LIGHT,CA,7/12/1999 22:10 +Lake Oswego,,LIGHT,OR,7/12/1999 22:15 +Elko,,OTHER,NV,7/12/1999 23:00 +Chautaqua Road,,EGG,NY,7/12/1999 23:17 +Reynoldsburg,,SPHERE,OH,7/12/1999 23:30 +Livingston,,SPHERE,IL,7/13/1999 3:15 +New Roads,,TRIANGLE,LA,7/13/1999 7:45 +Morton Grove,,FIREBALL,IL,7/13/1999 12:30 +Tacoma,,CIGAR,WA,7/13/1999 18:00 +New Rochelle,,CIRCLE,NY,7/13/1999 19:30 +Missoula,,CIGAR,MT,7/13/1999 22:50 +Springfield,,LIGHT,MA,7/14/1999 1:35 +Weidman,,LIGHT,MI,7/14/1999 4:00 +Rochester Hills,,LIGHT,MI,7/14/1999 4:53 +Blyville,,OTHER,AR,7/14/1999 17:00 +Monument Valley,GREEN,FLASH,UT,7/14/1999 22:23 +Deer Park,,DISK,NY,7/14/1999 23:00 +Cleveland,,FIREBALL,WI,7/14/1999 23:50 +Guerneville,,FORMATION,CA,7/15/1999 1:00 +Mosier,,LIGHT,OR,7/15/1999 1:00 +Naperville,,LIGHT,IL,7/15/1999 2:00 +Somerville,,OTHER,TX,7/15/1999 2:00 +Reedsville,,,WV,7/15/1999 3:00 +Ontario,,SPHERE,NY,7/15/1999 3:30 +Paddock Lake,ORANGE,DISK,WI,7/15/1999 4:15 +Boulder,,OVAL,CO,7/15/1999 15:00 +Atlanta,,SPHERE,GA,7/15/1999 16:00 +West Bend,,EGG,WI,7/15/1999 17:05 +Oxford,,DISK,ME,7/15/1999 19:00 +San Jose,GREEN,FIREBALL,CA,7/15/1999 21:00 +Charlotte,BLUE,VARIOUS,NC,7/15/1999 21:50 +Independence,,LIGHT,MO,7/15/1999 21:55 +La Farge,ORANGE,FIREBALL,WI,7/15/1999 22:00 +Houston,,SPHERE,TX,7/15/1999 22:15 +Mallets Bay,,TEARDROP,VT,7/15/1999 22:15 +Carmel,,TRIANGLE,IN,7/15/1999 23:00 +Southern Utah,GREEN,FIREBALL,UT,7/15/1999 23:30 +Birmingham,,SPHERE,AL,7/16/1999 0:00 +Highland,,RECTANGLE,CA,7/16/1999 14:30 +Bouse,RED YELLOW,OTHER,AZ,7/16/1999 20:00 +Acworth,,TRIANGLE,GA,7/16/1999 20:30 +Temecula,,TRIANGLE,CA,7/16/1999 21:00 +Straughn,,LIGHT,IN,7/16/1999 22:00 +Bayfield,RED,SPHERE,WI,7/16/1999 23:50 +North Bowers Beach,,,DE,7/17/1999 0:00 +Lemon Cove,,DISK,CA,7/17/1999 13:15 +Sewell,,TRIANGLE,NJ,7/17/1999 22:00 +Sewell,RED,TRIANGLE,NJ,7/17/1999 22:00 +Hatton,ORANGE,SPHERE,WA,7/17/1999 22:30 +Sandusky,GREEN,SPHERE,OH,7/17/1999 23:00 +Atlantic Ocean,,,NJ,7/18/1999 0:00 +Columbus,,,OH,7/18/1999 1:00 +Malta,,LIGHT,NY,7/18/1999 1:00 +Jacksonville,RED,FLASH,FL,7/18/1999 2:00 +Escondido,ORANGE,FIREBALL,CA,7/18/1999 4:10 +East Springfield,ORANGE,CIRCLE,PA,7/18/1999 4:15 +San Antonio,,,TX,7/18/1999 5:04 +Chino Hills,,FLASH,CA,7/18/1999 11:45 +York,ORANGE,DISK,PA,7/18/1999 16:00 +La Grande,,VARIOUS,OR,7/18/1999 21:10 +Porterville,,LIGHT,CA,7/18/1999 21:30 +Blythe,,LIGHT,CA,7/18/1999 22:00 +Claremont,,TRIANGLE,CA,7/18/1999 22:00 +Houston,,CIRCLE,TX,7/18/1999 22:30 +Pound Ridge,,SPHERE,NY,7/18/1999 22:30 +Robbins,ORANGE,CIRCLE,TX,7/18/1999 22:30 +Lincoln,,,NE,7/19/1999 2:05 +Kennewick,GREEN,FIREBALL,WA,7/19/1999 2:30 +Durango,,,CO,7/19/1999 5:00 +Kansas City,,,KS,7/19/1999 11:00 +Las Vegas,,OVAL,NV,7/19/1999 21:30 +Tonasket,,,WA,7/20/1999 0:00 +Myrtle Beach,,TRIANGLE,SC,7/20/1999 1:00 +Minneapolis,,DISK,MN,7/20/1999 3:00 +Largo,,LIGHT,FL,7/20/1999 23:00 +Clarkson,RED,LIGHT,KY,7/21/1999 0:00 +Spokane,,CIRCLE,WA,7/21/1999 2:00 +Fort Lewis,,CYLINDER,WA,7/21/1999 23:30 +Tulsa,,LIGHT,OK,7/22/1999 2:00 +Hood River,,DIAMOND,OR,7/22/1999 2:15 +West Palm Beach,,VARIOUS,FL,7/22/1999 19:30 +Bay Point,RED,OTHER,CA,7/22/1999 20:00 +Owings Mills,RED,,MD,7/22/1999 23:59 +Wheaton,,OTHER,IL,7/23/1999 1:30 +Spring Green,,LIGHT,WI,7/23/1999 2:00 +Thornton,,LIGHT,IL,7/23/1999 3:00 +Trona,,OTHER,CA,7/23/1999 5:30 +South China,,OTHER,ME,7/23/1999 19:50 +Tracy,,,CA,7/23/1999 20:27 +Marietta,,CIGAR,OH,7/23/1999 22:30 +Modena,,CIGAR,NY,7/23/1999 22:30 +Cedar City,,OTHER,UT,7/23/1999 23:00 +Van Horn,,DISK,TX,7/23/1999 23:00 +Huntingdon Valley,,DISK,PA,7/23/1999 23:12 +Woodbine,,,IA,7/23/1999 23:40 +Coalinga,,TRIANGLE,CA,7/23/1999 23:45 +Lancaster County,,RECTANGLE,PA,7/24/1999 0:12 +Garland,,VARIOUS,TX,7/24/1999 0:25 +Philadelphia,,FLASH,PA,7/24/1999 19:00 +Alamosa,,DISK,CO,7/24/1999 19:50 +Hale,,CIRCLE,MO,7/24/1999 21:30 +Ashland,,LIGHT,OR,7/24/1999 22:20 +Boca Raton,,DISK,FL,7/25/1999 2:30 +Jacksonville,,LIGHT,FL,7/25/1999 3:55 +Oklahoma City,,OTHER,OK,7/25/1999 5:00 +Walworth County,,OVAL,WI,7/25/1999 11:35 +Manitowoc,,CIRCLE,WI,7/25/1999 15:00 +Seneca,,EGG,KS,7/25/1999 19:00 +Rocky Mount,,TRIANGLE,LA,7/25/1999 20:00 +Sandy,,TRIANGLE,UT,7/25/1999 20:30 +Moses Lake,,SPHERE,WA,7/25/1999 20:40 +Colorado Springs,ORANGE,LIGHT,CO,7/25/1999 22:00 +Cincinnati,,FLASH,OH,7/25/1999 22:30 +Verhalen,,DIAMOND,TX,7/25/1999 22:30 +Bricktown,ORANGE,RECTANGLE,NJ,7/26/1999 14:30 +Portland,,VARIOUS,OR,7/26/1999 16:00 +Leeds,,SPHERE,AL,7/26/1999 21:00 +Vestal,,LIGHT,NY,7/26/1999 21:30 +Chicago,,DISK,IL,7/26/1999 22:00 +Spokane,,FLASH,WA,7/26/1999 22:00 +Shelbyville,RED BLUE,OVAL,TN,7/26/1999 22:30 +Monroe,,LIGHT,WA,7/26/1999 23:00 +Edgewood,,,WA,7/26/1999 23:15 +Macwahoc,ORANGE GREEN,OTHER,ME,7/27/1999 1:30 +Palm Springs,,TRIANGLE,CA,7/27/1999 2:45 +Canon City,,FLASH,CO,7/27/1999 5:10 +Fort A.P. Hill,,OVAL,VA,7/27/1999 19:00 +Shoreline,,LIGHT,WA,7/27/1999 21:40 +Ravenna,,DISK,OH,7/27/1999 22:00 +The Colony,,OVAL,TX,7/27/1999 22:00 +Vancouver,BLUE,LIGHT,WA,7/27/1999 23:00 +Rogerville,,OVAL,TN,7/28/1999 1:00 +Winlock,,VARIOUS,WA,7/28/1999 1:00 +Lebanon,,OTHER,OR,7/28/1999 4:30 +Dayton,,OTHER,OH,7/28/1999 21:30 +Bremerton,,CIRCLE,WA,7/28/1999 21:33 +Ponca City,,TRIANGLE,OK,7/28/1999 22:00 +Twin Falls,,FIREBALL,ID,7/28/1999 22:50 +Bellingham,,LIGHT,WA,7/28/1999 23:30 +Dolgeville,,TRIANGLE,NY,7/28/1999 23:30 +HighPoint,,CYLINDER,NC,7/29/1999 0:00 +Redmond,,CIRCLE,WA,7/29/1999 2:15 +Kankakee,,CHEVRON,IL,7/30/1999 14:00 +Ballard,GREEN,LIGHT,WA,7/30/1999 22:30 +Akeley,,TRIANGLE,MN,7/31/1999 0:30 +Miami Beach,,OVAL,FL,7/31/1999 7:05 +Cortez,,LIGHT,CO,7/31/1999 21:50 +Salt Lake City,ORANGE,DISK,UT,7/31/1999 22:30 +Rocky Mount,,DISK,VA,8/1/1999 3:45 +South Point,,EGG,OH,8/1/1999 12:00 +San Jose,,DISK,CA,8/1/1999 13:00 +Tucson,,SPHERE,AZ,8/1/1999 13:00 +Cleveland,,CIGAR,NY,8/1/1999 15:00 +Seattle,,CIGAR,WA,8/1/1999 15:30 +Seattle,,CIGAR,WA,8/1/1999 15:31 +Seattle,,CIGAR,WA,8/1/1999 17:30 +The Colony,,SPHERE,TX,8/1/1999 17:35 +Bear Valley Ski Resort,,CIGAR,CA,8/1/1999 18:30 +Bethlehem,,SPHERE,PA,8/1/1999 20:00 +Rialto,,LIGHT,CA,8/1/1999 20:00 +Boalsburg,RED,LIGHT,PA,8/1/1999 21:00 +Redding,,LIGHT,CA,8/1/1999 21:10 +Seattle,,DISK,WA,8/1/1999 21:30 +Monterey,,OVAL,CA,8/1/1999 22:10 +West Kennebunk,,SPHERE,ME,8/1/1999 22:30 +Ferndale,,OTHER,WA,8/1/1999 22:45 +Shanty Creek,,,MI,8/1/1999 23:00 +Eugene,,OTHER,OR,8/1/1999 23:30 +Sausalito,,CIRCLE,CA,8/2/1999 0:00 +Hollywood,,OTHER,CA,8/2/1999 2:00 +St. Louis,,CIRCLE,MO,8/2/1999 6:10 +Federal Way,,,WA,8/2/1999 18:00 +Utica,,OVAL,NY,8/2/1999 18:15 +Marsden,,FLASH,AR,8/2/1999 21:00 +Westport,,LIGHT,WA,8/2/1999 23:30 +Salem,,,MA,8/3/1999 21:45 +Beaverton,,DISK,OR,8/3/1999 22:00 +Cockeysville,,LIGHT,MD,8/3/1999 22:00 +Madison,,LIGHT,WI,8/3/1999 22:13 +Lesage,,LIGHT,WV,8/3/1999 23:15 +Blue Ridge Summit,,,PA,8/3/1999 23:20 +Camp Ripley,BLUE,FORMATION,MN,8/4/1999 2:50 +Rochdale,,SPHERE,MA,8/4/1999 3:00 +Grants Pass,,EGG,OR,8/4/1999 4:00 +Rogue River,,LIGHT,OR,8/4/1999 21:00 +Arcade,,FLASH,GA,8/4/1999 22:05 +Spokane,,TRIANGLE,WA,8/5/1999 1:30 +Meridian,,LIGHT,ID,8/5/1999 5:15 +Cannon Falls,,,MN,8/5/1999 10:30 +Jacksonville,,VARIOUS,FL,8/5/1999 17:30 +Northfield,,EGG,MN,8/5/1999 19:00 +Tomah,,OTHER,WI,8/5/1999 23:20 +Orem,,TRIANGLE,UT,8/6/1999 1:30 +Grayling,,DISK,MI,8/6/1999 2:00 +Tooele,,LIGHT,UT,8/6/1999 4:00 +Newport Beach,,DIAMOND,CA,8/6/1999 16:00 +Manhattan Beach,,OTHER,CA,8/6/1999 20:45 +Eureka,ORANGE,CIRCLE,CA,8/6/1999 22:30 +Fittstown,,,OK,8/6/1999 23:00 +Titusville,,,FL,8/7/1999 2:00 +Santa Nella,,DISK,CA,8/7/1999 3:00 +Westminster,,DIAMOND,CA,8/7/1999 10:35 +New York City,,TRIANGLE,NY,8/7/1999 17:00 +Pampa,,LIGHT,TX,8/7/1999 20:30 +Payson,,DISK,AZ,8/7/1999 21:00 +Prescott Valley,ORANGE,LIGHT,AZ,8/7/1999 23:45 +Long Valley,GREEN,DISK,NJ,8/8/1999 10:30 +New York City,,OVAL,NY,8/8/1999 13:00 +New Brighton,,CIRCLE,PA,8/8/1999 20:00 +Reidsville,,TRIANGLE,NC,8/8/1999 22:15 +Denver,,,CO,8/8/1999 22:30 +Villa Rica,,OTHER,GA,8/9/1999 18:00 +Phillipsburg,,,NJ,8/9/1999 20:00 +Yosemite National Park,,OTHER,CA,8/9/1999 20:00 +Yakima,,FIREBALL,WA,8/9/1999 20:18 +King of Prussia,,CROSS,PA,8/9/1999 22:00 +Columbus,,FLASH,OH,8/9/1999 22:30 +Conway,,TRIANGLE,AR,8/10/1999 1:00 +Napa,,OTHER,CA,8/10/1999 1:00 +Gwinnett,ORANGE GREEN BLUE,LIGHT,GA,8/10/1999 2:00 +Tillamook,,CYLINDER,OR,8/10/1999 2:00 +Portland,,LIGHT,OR,8/10/1999 11:00 +Jericho,,,VT,8/10/1999 21:00 +Denver,,OTHER,CO,8/10/1999 22:30 +Munising,,EGG,MI,8/10/1999 22:30 +Westland,,LIGHT,MI,8/10/1999 22:30 +Sellersburg,,LIGHT,IN,8/11/1999 5:25 +Ettersburg,,RECTANGLE,CA,8/11/1999 16:00 +Hwy. 90,,TRIANGLE,SD,8/11/1999 17:30 +Cortez,,LIGHT,CO,8/11/1999 21:45 +Ketchikan,,CIRCLE,AK,8/11/1999 23:07 +Gold Canyon,,FORMATION,AZ,8/12/1999 2:30 +Long Beach,ORANGE,DISK,CA,8/12/1999 3:25 +Herminie,ORANGE,FORMATION,PA,8/12/1999 3:30 +Highlands Ranch,,FORMATION,CO,8/12/1999 3:30 +North Wilkesboro,,TRIANGLE,NC,8/12/1999 3:30 +Apex,,TRIANGLE,NC,8/12/1999 3:58 +Fort Wayne,,TEARDROP,IN,8/12/1999 9:30 +Flagstaff,ORANGE,LIGHT,AZ,8/12/1999 10:00 +Chesapeake Bay,,DISK,MD,8/12/1999 16:00 +Elizibethtown,,CIRCLE,IL,8/12/1999 21:00 +Marietta,,FIREBALL,OH,8/12/1999 21:00 +Fresno,,,CA,8/12/1999 21:25 +Milwaukee,,TEARDROP,WI,8/12/1999 22:00 +Myrtle Creek,,CIRCLE,OR,8/12/1999 22:00 +North South Padre Island,,,TX,8/12/1999 22:00 +Bloominggrove,,,NY,8/12/1999 22:30 +Strausburg,,TRIANGLE,OH,8/12/1999 23:00 +Woodland,,,CA,8/12/1999 23:30 +Put-in Bay,,SPHERE,OH,8/12/1999 23:45 +Winchester,,LIGHT,VA,8/13/1999 0:00 +Westby,,TRIANGLE,WI,8/13/1999 3:58 +Casa Grande,,TRIANGLE,AZ,8/13/1999 11:00 +Mesa,GREEN,OTHER,DE,8/13/1999 20:46 +Cheyenne,RED ORANGE,TRIANGLE,WY,8/13/1999 21:50 +Monticello,GREEN,FIREBALL,IA,8/13/1999 22:15 +Casa Grande,,TRIANGLE,AZ,8/13/1999 23:00 +Vancouver,GREEN,CIRCLE,WA,8/13/1999 23:00 +Vancouver,GREEN,OVAL,WA,8/13/1999 23:00 +Paw Paw,,,IL,8/13/1999 23:30 +Salt Lake City,,TRIANGLE,UT,8/14/1999 3:46 +Turnagain Pass,,FLASH,AK,8/14/1999 4:00 +Columbus,,CIRCLE,OH,8/14/1999 12:00 +Peoria,,OTHER,IL,8/14/1999 12:00 +Destin,,TRIANGLE,FL,8/14/1999 19:30 +Milwaukee,,LIGHT,WI,8/14/1999 20:50 +Richland,,LIGHT,WA,8/14/1999 22:00 +Fort Worth,,CIRCLE,TX,8/14/1999 22:07 +Fort Worth,,CIRCLE,TX,8/14/1999 22:07 +East Lynne,,DISK,MO,8/14/1999 22:30 +Grandville,YELLOW,,MI,8/14/1999 23:00 +Trout Lake,ORANGE,LIGHT,WA,8/14/1999 23:00 +Plano,,,TX,8/15/1999 0:00 +Parkersburg,,CYLINDER,WV,8/15/1999 1:00 +Talco,,LIGHT,TX,8/15/1999 2:00 +Boulder,,OTHER,CO,8/15/1999 13:00 +Seattle,,,WA,8/15/1999 13:00 +Valparaiso,,DISK,IN,8/15/1999 13:00 +Lake Saint Louis,,DIAMOND,MO,8/15/1999 13:30 +Greencreek,,CIGAR,ID,8/15/1999 14:00 +Eleanor,,CIGAR,WV,8/15/1999 16:00 +Lancaster,RED,FIREBALL,CA,8/15/1999 16:30 +Boulder,,LIGHT,CO,8/15/1999 17:30 +McCrory,,TRIANGLE,AR,8/15/1999 18:00 +Vancouver,,,WA,8/15/1999 18:50 +Glendale,,FORMATION,CA,8/15/1999 19:15 +Bath,,VARIOUS,ME,8/15/1999 20:30 +Gila Bend,ORANGE,FIREBALL,AZ,8/15/1999 20:30 +Fayetteville,,LIGHT,NC,8/15/1999 21:00 +Gaylesville,GREEN,,AL,8/15/1999 21:00 +Hobe Sound,,CIRCLE,FL,8/15/1999 21:00 +Huntington Beach,,CIRCLE,CA,8/15/1999 21:45 +Little Falls,,LIGHT,MN,8/15/1999 22:00 +Matteson,,LIGHT,IL,8/15/1999 22:00 +Sedona,,FLASH,AZ,8/15/1999 22:22 +Maury Island,,,WA,8/15/1999 22:23 +Jenks,,LIGHT,OK,8/15/1999 22:30 +Lake Powell,ORANGE,FIREBALL,UT,8/15/1999 22:30 +Los Lunas,,,NM,8/15/1999 22:30 +Socorro,,OTHER,NM,8/15/1999 22:30 +Eureka,,FLASH,IL,8/15/1999 22:45 +East Northport,ORANGE,FIREBALL,NY,8/15/1999 22:55 +Montauk,,CIRCLE,NY,8/15/1999 23:00 +Rio Rancho,,OTHER,NM,8/15/1999 23:00 +Salem,,OTHER,OR,8/15/1999 23:00 +Spokane,,LIGHT,WA,8/15/1999 23:00 +Jemez Springs,,,NM,8/15/1999 23:10 +Albany,,SPHERE,OR,8/15/1999 23:11 +Dinosaur,BLUE,,CO,8/15/1999 23:15 +See Report...,,,CO,8/15/1999 23:15 +Albuquerque,,,NM,8/15/1999 23:18 +Aztec,,LIGHT,NM,8/15/1999 23:18 +Bosque,,,NM,8/15/1999 23:18 +Denver,,FIREBALL,CO,8/15/1999 23:18 +Gallup,BLUE,,NM,8/15/1999 23:18 +Las Cruces,,FIREBALL,NM,8/15/1999 23:18 +Rawlins,,FIREBALL,WY,8/15/1999 23:18 +Tularosa,,FLASH,NM,8/15/1999 23:18 +Salem,,OTHER,UT,8/15/1999 23:50 +Janesville,,FLASH,WI,8/16/1999 1:45 +Trapper Creek,,OVAL,AK,8/16/1999 2:45 +Toledo,,LIGHT,OH,8/16/1999 4:00 +Woonsocket,,,RI,8/16/1999 8:30 +Langhorne,,OTHER,PA,8/16/1999 21:30 +Navarre Beach,RED,FIREBALL,FL,8/16/1999 22:40 +Bentonville,ORANGE,FIREBALL,IN,8/16/1999 22:45 +Grand Marais,,SPHERE,MN,8/16/1999 23:00 +Merritt Island Wildlife Refuge,,FIREBALL,FL,8/17/1999 2:30 +Moses Lake,BLUE,VARIOUS,WA,8/17/1999 3:15 +Portland,,OTHER,OR,8/17/1999 5:50 +Las Vegas,,DISK,NV,8/17/1999 16:00 +Phoenix,,DIAMOND,AZ,8/17/1999 19:30 +Fairfield,,OTHER,CA,8/17/1999 21:00 +Westfield,GREEN,CIRCLE,NJ,8/17/1999 21:00 +Grand Rapids,RED,LIGHT,MI,8/17/1999 22:57 +Marmora,,LIGHT,NJ,8/17/1999 23:34 +Holden,,CIRCLE,MO,8/18/1999 0:10 +Tollison,BLUE,FIREBALL,AZ,8/18/1999 1:30 +Sun Cove,,TRIANGLE,WA,8/18/1999 3:14 +Grove City,,OVAL,OH,8/18/1999 21:10 +Center,,FIREBALL,TX,8/19/1999 4:00 +Columbia,,SPHERE,MO,8/19/1999 11:30 +Wilmington,,TRIANGLE,NC,8/19/1999 15:45 +LaVergne,,SPHERE,TN,8/19/1999 19:45 +Great Falls,,OVAL,MT,8/19/1999 20:00 +Tukwila,,SPHERE,WA,8/19/1999 21:15 +Vallejo,,VARIOUS,CA,8/19/1999 22:00 +Barstow,,VARIOUS,CA,8/20/1999 1:00 +Fort Smith,,CIRCLE,AR,8/20/1999 5:45 +Spokane,,SPHERE,WA,8/20/1999 14:00 +Crisp Point,,FORMATION,MI,8/20/1999 16:30 +Grove City,,LIGHT,PA,8/20/1999 21:00 +Granville,,DISK,OH,8/20/1999 21:30 +Akron,,LIGHT,MI,8/20/1999 22:00 +Minneapolis,,SPHERE,MN,8/20/1999 23:00 +White City,,CIRCLE,OR,8/20/1999 23:30 +Renton,ORANGE,CIGAR,WA,8/21/1999 2:00 +Lake Whitney,,TRIANGLE,TX,8/21/1999 3:00 +Renton,,,WA,8/21/1999 15:15 +Snoqualmie Pass,,RECTANGLE,WA,8/21/1999 20:20 +Charlestown,,CIRCLE,IN,8/21/1999 21:40 +Colusa,,OVAL,CA,8/21/1999 23:00 +Easton,,RECTANGLE,MD,8/22/1999 0:30 +Oak Harbor,RED,LIGHT,WA,8/22/1999 1:00 +Syracuse,,OTHER,NY,8/22/1999 6:00 +Chicago,,OTHER,IL,8/22/1999 11:55 +Rocky Mount,,CIRCLE,NC,8/22/1999 13:30 +Dallas,,CIRCLE,TX,8/22/1999 19:30 +Lahaina,RED GREEN,SPHERE,HI,8/22/1999 20:00 +Redmond,,FIREBALL,OR,8/22/1999 21:15 +Cave Juntion,,CIGAR,OR,8/22/1999 21:30 +Hwy 199,,FIREBALL,CA,8/22/1999 22:00 +Two Rivers,,FIREBALL,WI,8/22/1999 23:00 +Portland,ORANGE,TRIANGLE,ME,8/22/1999 23:30 +Wilmington,,DISK,NC,8/23/1999 2:30 +Steelville,,SPHERE,MO,8/23/1999 12:00 +Ozark,,DISK,MO,8/23/1999 14:15 +Milford,,CIGAR,CT,8/23/1999 14:40 +Anaheim,,RECTANGLE,CA,8/23/1999 16:00 +Reno,,CIRCLE,NV,8/24/1999 1:03 +Sandy,,TRIANGLE,UT,8/24/1999 9:05 +Merced,RED,VARIOUS,CA,8/24/1999 9:10 +Boonville,,OTHER,MO,8/24/1999 19:50 +Ivanhoe,,LIGHT,CA,8/25/1999 0:00 +Hot Springs,,,AR,8/25/1999 5:32 +San Jose,GREEN BLUE,,CA,8/25/1999 9:00 +Reseda,,SPHERE,CA,8/25/1999 15:30 +El Dorado Hills,,FLASH,CA,8/25/1999 21:00 +Santa Cruz,,SPHERE,CA,8/25/1999 21:30 +Versailles,ORANGE,SPHERE,IN,8/25/1999 22:30 +Grapevine,,LIGHT,CA,8/26/1999 0:00 +Olympic National Park,,DISK,WA,8/26/1999 15:00 +Great Falls,,LIGHT,MT,8/26/1999 21:20 +Port Angeles,YELLOW BLUE,FIREBALL,WA,8/27/1999 0:15 +Auburn,,CIRCLE,WA,8/27/1999 5:30 +Newburgh,,TRIANGLE,NY,8/27/1999 19:00 +Southfield,,LIGHT,MI,8/27/1999 20:58 +Southfield,,LIGHT,MI,8/27/1999 20:58 +Brier,BLUE,CHEVRON,WA,8/27/1999 22:30 +San Diego,ORANGE,CIRCLE,CA,8/28/1999 2:00 +Burbank,,,CA,8/28/1999 5:31 +New York City,,SPHERE,NY,8/28/1999 11:45 +Albuquerque,,,NM,8/28/1999 18:00 +Wichita,,CIGAR,KS,8/28/1999 20:00 +Granada Hills,,FLASH,CA,8/28/1999 20:40 +New York City,,CIRCLE,NY,8/28/1999 22:00 +Chicago,,CIRCLE,IL,8/28/1999 22:10 +Oshkosh,,SPHERE,WI,8/29/1999 15:00 +Temple City,,LIGHT,CA,8/29/1999 20:35 +Temple City,RED,LIGHT,CA,8/29/1999 20:35 +Bloomington,,TRIANGLE,MN,8/29/1999 22:00 +Manitowoc Rapids,,FIREBALL,WI,8/29/1999 22:15 +Raquette Lake,,LIGHT,NY,8/30/1999 22:30 +"Raquette Lake, adirondack mts.",,LIGHT,NY,8/30/1999 22:30 +Lumberport,,LIGHT,WV,8/31/1999 1:00 +Elko,,LIGHT,NV,8/31/1999 20:30 +Elko,,LIGHT,NV,8/31/1999 20:30 +Madison,,CIRCLE,NC,8/31/1999 21:10 +Coral Gables,RED ORANGE,CIRCLE,FL,8/31/1999 21:30 +Havana,,FIREBALL,IL,8/31/1999 22:45 +Hunter,,TRIANGLE,NY,8/31/1999 23:00 +Matthews,,CHEVRON,NC,8/31/1999 23:30 +Batesville,,,TX,9/1/1999 0:00 +Junction City,RED,TRIANGLE,OH,9/1/1999 0:00 +Willsboro,,CIRCLE,NY,9/1/1999 0:00 +Santa Cruz,,,CA,9/1/1999 1:00 +Tinley Park,RED BLUE,TRIANGLE,IL,9/1/1999 1:00 +Bothell,,FORMATION,WA,9/1/1999 1:15 +Wadsworth,ORANGE,LIGHT,OH,9/1/1999 4:30 +Lincolnton,,VARIOUS,NC,9/1/1999 6:00 +Stockton,,FORMATION,CA,9/1/1999 6:30 +Cleveland,,LIGHT,OH,9/1/1999 12:45 +Chicago,,CIGAR,IL,9/1/1999 15:00 +Stuttgart,,CIGAR,AR,9/1/1999 16:00 +Flagstaff,,OVAL,AZ,9/1/1999 17:00 +Bicknell,,LIGHT,IN,9/1/1999 19:00 +Lakewood,,RECTANGLE,CO,9/1/1999 19:40 +Mexico,,,MO,9/1/1999 19:40 +Vallejo,,,CA,9/1/1999 19:40 +Gold Beach,,FIREBALL,OR,9/1/1999 20:30 +Suisun,,FORMATION,CA,9/1/1999 20:30 +Coon Rapids,,TRIANGLE,MN,9/1/1999 21:00 +Kapaa,,TRIANGLE,HI,9/1/1999 21:00 +Medford,ORANGE,VARIOUS,OR,9/1/1999 21:00 +Mica Mountain,,LIGHT,WA,9/1/1999 21:00 +Paola,,CIGAR,KS,9/1/1999 21:00 +Portland,,,OR,9/1/1999 21:00 +Sunriver,,FIREBALL,OR,9/1/1999 21:00 +Portland,,OTHER,OR,9/1/1999 21:10 +Fairfield,,TRIANGLE,CA,9/1/1999 21:13 +Coos Bay,,OTHER,OR,9/1/1999 21:25 +Florence,,FIREBALL,OR,9/1/1999 21:25 +Alturas,,,CA,9/1/1999 21:30 +Alturas,,FORMATION,CA,9/1/1999 21:30 +Auburn,,FIREBALL,CA,9/1/1999 21:30 +Auburn,,FIREBALL,CA,9/1/1999 21:30 +Beaverton,,,OR,9/1/1999 21:30 +Black Rock City,,FIREBALL,NV,9/1/1999 21:30 +Black Rock City,RED,FIREBALL,NV,9/1/1999 21:30 +Chico,,FIREBALL,CA,9/1/1999 21:30 +El Dorado Hills,,LIGHT,CA,9/1/1999 21:30 +Eugene,RED,LIGHT,OR,9/1/1999 21:30 +Lake Trinity,RED,FIREBALL,CA,9/1/1999 21:30 +Marinwood,,TEARDROP,CA,9/1/1999 21:30 +Northern California,,OTHER,CA,9/1/1999 21:30 +Novato,,LIGHT,CA,9/1/1999 21:30 +Portland,RED,,OR,9/1/1999 21:30 +Reno,,FIREBALL,NV,9/1/1999 21:30 +Saddleback Fire Lookout- Tahoe Natl. Forest- Downieville Dis,,,CA,9/1/1999 21:30 +Vacaville,,TRIANGLE,CA,9/1/1999 21:30 +Wilsonville,,LIGHT,OR,9/1/1999 21:30 +Portland,,,OR,9/1/1999 21:35 +Donner Summit,RED,LIGHT,CA,9/1/1999 21:40 +Orland,,FIREBALL,CA,9/1/1999 21:40 +Portland,,,OR,9/1/1999 21:40 +Sacramento,,VARIOUS,CA,9/1/1999 21:40 +Santa Barbara,ORANGE,CIGAR,CA,9/1/1999 21:45 +Nenana,,LIGHT,AK,9/1/1999 22:00 +Orwigsburg,,DIAMOND,PA,9/1/1999 22:00 +Santa Barbara,ORANGE,CIGAR,CA,9/1/1999 22:30 +Spokane,,TRIANGLE,WA,9/1/1999 22:30 +Alaska,,LIGHT,AK,9/1/1999 23:00 +Brier,,FORMATION,WA,9/1/1999 23:00 +Chico,BLUE,OTHER,CA,9/1/1999 23:00 +Everett,,,WA,9/1/1999 23:30 +Huntington,,RECTANGLE,WV,9/1/1999 23:30 +Independence,,OTHER,MO,9/1/1999 23:30 +Lima,ORANGE,LIGHT,OH,9/1/1999 23:30 +Murfreesboro,,FIREBALL,TN,9/1/1999 23:58 +St. Louis,,,MO,9/2/1999 0:45 +Los Angeles Airport,,OTHER,CA,9/2/1999 2:00 +Dallas,,,TX,9/2/1999 3:15 +Gold Beach,,LIGHT,OR,9/2/1999 3:30 +New Orleans,,LIGHT,LA,9/2/1999 3:30 +Vancouver,RED,SPHERE,WA,9/2/1999 13:00 +Galva,,VARIOUS,IL,9/2/1999 20:00 +Central Lake,,CYLINDER,MI,9/2/1999 20:30 +Seward,,LIGHT,AK,9/2/1999 21:00 +Seward,,LIGHT,AK,9/2/1999 21:00 +Beckley,,OTHER,WV,9/3/1999 0:00 +Savannah,,FIREBALL,GA,9/3/1999 1:30 +Hackensack,,SPHERE,NJ,9/3/1999 4:45 +New Smyrna Beach,,CIRCLE,FL,9/3/1999 10:30 +San Jose,,OTHER,CA,9/3/1999 12:38 +Salem,,CHEVRON,OR,9/3/1999 20:30 +Tonasket,,LIGHT,WA,9/3/1999 21:00 +Bloomington,,CYLINDER,IN,9/3/1999 21:20 +Salinas,GREEN,LIGHT,CA,9/4/1999 0:30 +Pittsburg,,OTHER,CA,9/4/1999 0:38 +Santa Clara,,LIGHT,CA,9/4/1999 0:40 +Indianapolis,BLUE,CYLINDER,IN,9/4/1999 8:40 +Red Rock Canyon,RED,,NV,9/4/1999 11:00 +Conway,,LIGHT,AR,9/4/1999 20:00 +New York City,,TRIANGLE,NY,9/4/1999 20:00 +Grand Rapids,BLUE,LIGHT,MI,9/4/1999 21:00 +Richmond,ORANGE,TRIANGLE,IN,9/4/1999 21:24 +Ridgefield,,LIGHT,WA,9/4/1999 21:30 +Brighton,,FIREBALL,IA,9/4/1999 22:30 +Nashville,,LIGHT,TN,9/4/1999 22:30 +Summerville,,CIRCLE,SC,9/4/1999 22:30 +Tonasket,,LIGHT,WA,9/4/1999 23:00 +Redmond,,LIGHT,WA,9/5/1999 0:30 +Sevierville,RED GREEN BLUE,CIRCLE,TN,9/5/1999 0:40 +Grand View,,FORMATION,WI,9/5/1999 1:30 +Hudson River,RED,CIRCLE,NY,9/5/1999 4:20 +Placervile,GREEN,SPHERE,CA,9/5/1999 4:45 +Durham,,RECTANGLE,NH,9/5/1999 6:15 +Sutton,,DISK,WV,9/5/1999 6:30 +Berkeley,,CIGAR,CA,9/5/1999 10:30 +Hawkinsville,,DISK,GA,9/5/1999 13:33 +Zumbrota,,CIRCLE,MN,9/5/1999 20:50 +Tustin,,,WI,9/5/1999 21:30 +Cedar City,,LIGHT,UT,9/5/1999 21:33 +Wiley,,LIGHT,WA,9/5/1999 22:10 +Brule,,FORMATION,WI,9/5/1999 22:30 +Green Ridge St Forest,RED GREEN,LIGHT,MD,9/5/1999 22:30 +Hanford,GREEN,FIREBALL,CA,9/5/1999 22:30 +West Liberty,ORANGE GREEN,LIGHT,KY,9/5/1999 22:30 +Baker,,OVAL,CA,9/6/1999 0:30 +Minneapolis,BLUE,,MN,9/6/1999 0:40 +Carrollton,YELLOW,FLASH,TX,9/6/1999 2:00 +Columbia,,LIGHT,NH,9/6/1999 3:00 +Kingman,,FIREBALL,AZ,9/6/1999 9:40 +Frankfort,,CIGAR,IL,9/6/1999 19:15 +DePere,,,WI,9/6/1999 20:00 +Sulphur Springs,,LIGHT,TX,9/6/1999 20:17 +Highland Park,,TRIANGLE,MI,9/6/1999 23:45 +Central Florida,,,FL,9/7/1999 0:00 +Traverse City,,,MI,9/7/1999 0:00 +Austin,RED,DIAMOND,TX,9/7/1999 1:00 +Salem,GREEN,OTHER,OR,9/7/1999 1:00 +Witchita Falls,ORANGE,FIREBALL,TX,9/7/1999 2:00 +Orlando Flrida,,FIREBALL,FL,9/7/1999 3:00 +Madison,RED,LIGHT,WI,9/7/1999 3:35 +Norman,RED,,OK,9/7/1999 3:55 +Clarendon,ORANGE,,AR,9/7/1999 4:00 +Charlotte Cty to Sarasota on Hwy. 75,,LIGHT,FL,9/7/1999 5:00 +Manasota Key,,FIREBALL,FL,9/7/1999 5:00 +Slidell,ORANGE GREEN BLUE,DISK,LA,9/7/1999 5:00 +Tampa,,OTHER,FL,9/7/1999 5:00 +South Miami,BLUE,FIREBALL,FL,9/7/1999 5:03 +Tavares,,CIGAR,FL,9/7/1999 5:04 +"Ocoee, FL but reported on radio as far south as Lake Wales,",,OTHER,FL,9/7/1999 5:05 +"Poinciana,Lake Wales,Lake Helen,Kissimmee",,VARIOUS,FL,9/7/1999 5:05 +St. Petersburg,,CIGAR,FL,9/7/1999 5:10 +Gulfport,RED,SPHERE,MS,9/7/1999 5:40 +Los Angeles,,OVAL,CA,9/7/1999 7:15 +Gallatin,,CYLINDER,TN,9/7/1999 12:15 +Elk Grove,,LIGHT,CA,9/7/1999 20:07 +Rhinelander,RED GREEN,TEARDROP,WI,9/7/1999 21:18 +Pierceton,,CONE,IN,9/7/1999 21:30 +Sumner,,FORMATION,WA,9/7/1999 22:30 +Salem,,OTHER,OR,9/7/1999 22:35 +Lake Oswego,,LIGHT,OR,9/7/1999 22:37 +Austin,RED BLUE,,TX,9/7/1999 23:00 +Andover,GREEN,,MA,9/8/1999 1:30 +French Village,,FIREBALL,MO,9/8/1999 12:00 +Prairie View,,LIGHT,IL,9/8/1999 12:00 +Desert Aire,YELLOW,OTHER,WA,9/8/1999 19:00 +Alsea,,LIGHT,OR,9/8/1999 20:00 +Redding Airport,,LIGHT,CA,9/8/1999 20:57 +Alsea,,FORMATION,OR,9/8/1999 21:00 +Denver,,LIGHT,CO,9/8/1999 21:10 +Spokane,,FORMATION,WA,9/8/1999 21:45 +Bellingham,,TRIANGLE,WA,9/8/1999 21:58 +Albany,,TRIANGLE,OR,9/8/1999 22:00 +Renton,,LIGHT,WA,9/9/1999 0:40 +Mentor,,VARIOUS,OH,9/9/1999 2:00 +Los Altos,,CIRCLE,CA,9/9/1999 5:00 +Shasta,GREEN,FIREBALL,CA,9/9/1999 12:35 +Marathon,,DISK,FL,9/9/1999 19:00 +Bothell,GREEN,OTHER,WA,9/9/1999 22:00 +Mount Shasta,,,CA,9/9/1999 22:00 +Santa Cruz,,OTHER,CA,9/9/1999 22:00 +Shasta,,DISK,CA,9/9/1999 22:00 +Florence,,LIGHT,MT,9/10/1999 2:00 +Vacaville,,FIREBALL,CA,9/10/1999 2:13 +Brentwood,ORANGE,,TN,9/10/1999 3:15 +Milwaukee,,TRIANGLE,WI,9/10/1999 5:00 +Modesto,,FORMATION,CA,9/10/1999 12:35 +Fair Oaks,,CYLINDER,CA,9/10/1999 13:35 +Gardendale,,OTHER,AL,9/10/1999 14:05 +Kansas City,,TEARDROP,KS,9/10/1999 19:43 +Arlington,,OTHER,VA,9/10/1999 21:41 +Bremerton,,TRIANGLE,WA,9/10/1999 22:00 +Cotton,,TRIANGLE,MN,9/10/1999 22:00 +Atlanta,,LIGHT,GA,9/10/1999 22:29 +Houston,,SPHERE,TX,9/10/1999 22:30 +Pollock Pines,,LIGHT,CA,9/10/1999 23:00 +Fargo,,LIGHT,ND,9/11/1999 5:50 +Pasadena,,DIAMOND,MD,9/11/1999 15:30 +Puyallup,,LIGHT,WA,9/11/1999 16:08 +Brownwood,,DISK,TX,9/11/1999 19:00 +Casper,,TRIANGLE,WY,9/11/1999 20:00 +Spokane,YELLOW GREEN,FIREBALL,WA,9/11/1999 20:00 +Vernal,,CHEVRON,UT,9/11/1999 20:10 +Spokane,GREEN,LIGHT,WA,9/11/1999 20:24 +Spokane,,OTHER,WA,9/11/1999 20:25 +Spokane,,VARIOUS,WA,9/11/1999 20:25 +Clifton,,OVAL,NJ,9/11/1999 20:45 +New Milford,,OVAL,NJ,9/11/1999 20:45 +Paramus,,CIRCLE,NJ,9/11/1999 21:20 +Boise,BLUE,TEARDROP,ID,9/11/1999 21:30 +Bradley Beach,,LIGHT,NJ,9/11/1999 21:30 +Fort Edward,,TRIANGLE,NY,9/11/1999 21:30 +Kirkersville,,VARIOUS,OH,9/11/1999 21:57 +Charlotte,,LIGHT,NC,9/11/1999 21:58 +Cornelius,,LIGHT,OR,9/11/1999 22:00 +Grand Rapids,,FLASH,MI,9/11/1999 22:00 +Acton,GREEN,FIREBALL,CA,9/11/1999 22:16 +Newark,,DISK,NJ,9/11/1999 22:45 +Nantahala National Forest,,LIGHT,NC,9/11/1999 22:50 +Jordon,,LIGHT,MN,9/11/1999 23:00 +Roland Heights,,FIREBALL,CA,9/11/1999 23:00 +Campbell,,LIGHT,CA,9/12/1999 1:15 +Philadelphia,RED ORANGE YELLOW,CIRCLE,PA,9/12/1999 5:15 +Darlington,,DISK,SC,9/12/1999 10:00 +Navajo,,OVAL,AZ,9/12/1999 12:45 +Union,,,NJ,9/12/1999 18:30 +Idaho City,,LIGHT,ID,9/12/1999 20:00 +Pagosa Springs,,CIGAR,CO,9/12/1999 20:55 +Olympia,,LIGHT,WA,9/12/1999 21:10 +Navarre Beach,ORANGE YELLOW,LIGHT,FL,9/12/1999 22:00 +Ashland,,FIREBALL,OH,9/13/1999 1:01 +Blanchardville,,OTHER,WI,9/13/1999 2:15 +Claremont,,LIGHT,CA,9/13/1999 4:00 +Selinsgrove,,,PA,9/13/1999 4:25 +Newburyport,,OVAL,MA,9/13/1999 4:30 +Mt Rainier,,LIGHT,WA,9/13/1999 11:00 +Wilmington,,OTHER,MA,9/13/1999 11:30 +Bellingham,ORANGE,OVAL,WA,9/13/1999 20:30 +DePere,,CIRCLE,WI,9/13/1999 21:00 +St. Joseph,,LIGHT,MI,9/13/1999 22:05 +Tulsa,,FLASH,OK,9/13/1999 23:10 +Laurel,ORANGE,CIRCLE,MD,9/14/1999 6:00 +Federal Way,,CYLINDER,WA,9/14/1999 9:00 +Federal Way,ORANGE,CYLINDER,WA,9/14/1999 16:30 +Gresham,,VARIOUS,OR,9/14/1999 19:07 +Center Moriches,,LIGHT,NY,9/14/1999 20:00 +Bryan,,TRIANGLE,TX,9/14/1999 21:45 +Vancouver,,DIAMOND,WA,9/14/1999 22:00 +Mukilteo,GREEN,CIRCLE,WA,9/14/1999 22:29 +Egg Harbor,,,WY,9/15/1999 0:00 +"Dayton,Trotwood,West Carrollton",,TRIANGLE,OH,9/15/1999 0:10 +Temecula,,SPHERE,CA,9/15/1999 1:30 +Terre Haute,,TRIANGLE,IN,9/15/1999 5:00 +Smithville,,LIGHT,TN,9/15/1999 7:00 +Bath,,TRIANGLE,ME,9/15/1999 9:00 +Minneapolis,,CIRCLE,MN,9/15/1999 18:50 +Nampa,,,ID,9/15/1999 20:00 +Pomona,,LIGHT,CA,9/15/1999 20:15 +Rushville,,FIREBALL,IL,9/15/1999 20:50 +Danville,,,VA,9/15/1999 21:00 +Lebanon,,TRIANGLE,OH,9/15/1999 21:00 +Rushville,ORANGE,LIGHT,IL,9/15/1999 21:05 +Nampa,,TRIANGLE,ID,9/15/1999 21:36 +Estacada,,VARIOUS,OR,9/15/1999 22:00 +Plantation,,TRIANGLE,FL,9/15/1999 22:00 +Santa Ana,,TRIANGLE,CA,9/15/1999 22:50 +Columbia Falls,,DISK,MT,9/15/1999 23:00 +Cedar Rapids,,,IA,9/15/1999 23:30 +Secane,,,PA,9/15/1999 23:45 +Elgin,,DISK,TX,9/16/1999 3:00 +Menomonie,,CIRCLE,WI,9/16/1999 4:04 +Menomonie,,EGG,WI,9/16/1999 4:05 +Menomonie,,CIRCLE,WI,9/16/1999 22:00 +Hinsdale,,OTHER,IL,9/17/1999 1:00 +Western North Carolina Mountains,,FIREBALL,NC,9/17/1999 5:35 +White Rock,,CIRCLE,SC,9/17/1999 6:10 +Payson,,SPHERE,UT,9/17/1999 16:30 +Honolulu,,CIRCLE,HI,9/17/1999 19:27 +Boring,,CIRCLE,OR,9/17/1999 20:11 +Anacoco,,DISK,LA,9/17/1999 20:50 +Canby,RED,CIRCLE,OR,9/17/1999 21:05 +Cheyenne,,,WY,9/17/1999 21:55 +Hazelwood,,TRIANGLE,MO,9/17/1999 22:00 +Phoenix,,OVAL,AZ,9/17/1999 22:00 +Council Bluffs,,FLASH,IA,9/17/1999 22:18 +Dandridge,RED,TRIANGLE,TN,9/17/1999 22:30 +Virginia Beach,,FIREBALL,VA,9/17/1999 23:55 +New York City,,,NY,9/18/1999 1:00 +Kill Devil Hills,ORANGE,FORMATION,NC,9/18/1999 1:38 +Seattle,,,WA,9/18/1999 6:25 +Catalina,,SPHERE,AZ,9/18/1999 8:25 +East Machias,,LIGHT,ME,9/18/1999 9:15 +Nashville,,CIRCLE,TN,9/18/1999 18:30 +John Day,,LIGHT,OR,9/18/1999 20:05 +Philadelphia,,CIRCLE,PA,9/18/1999 21:00 +Snohomish,RED,,WA,9/18/1999 21:08 +Seattle,,TRIANGLE,WA,9/19/1999 2:51 +Cleveland,,CIGAR,TX,9/19/1999 3:00 +Tampa,,FLASH,FL,9/19/1999 3:06 +Santa Barbara,,DISK,CA,9/19/1999 8:50 +Santa Barbara,,OTHER,CA,9/19/1999 8:50 +Ashville,,OTHER,OH,9/19/1999 11:00 +Janesville,,LIGHT,WI,9/19/1999 17:00 +Bothell,,LIGHT,WA,9/19/1999 17:10 +Philadelphia,,DISK,PA,9/19/1999 20:23 +Mission Viejo,RED,LIGHT,CA,9/20/1999 4:00 +I-80,,CIRCLE,UT,9/20/1999 5:30 +Highland Park,,TRIANGLE,CA,9/20/1999 10:45 +Hattiesburg,,SPHERE,MS,9/20/1999 13:00 +Barrington,,CIGAR,NH,9/20/1999 17:10 +Mesa,,LIGHT,AZ,9/20/1999 19:00 +Silver Fork,,SPHERE,CA,9/20/1999 22:30 +Denver,,LIGHT,CO,9/21/1999 8:00 +Hamilton,,DISK,MT,9/21/1999 9:10 +San Diego,RED,CIRCLE,CA,9/21/1999 18:00 +Indianapolis,,CHEVRON,IN,9/21/1999 18:45 +Spokane,,FIREBALL,WA,9/21/1999 18:55 +Post Falls,,FIREBALL,ID,9/21/1999 19:15 +Chatfield,,OVAL,TX,9/21/1999 19:30 +Columbia Station,,DISK,OH,9/21/1999 20:30 +Everett,,VARIOUS,WA,9/21/1999 20:49 +Manassas,,CIRCLE,VA,9/22/1999 0:20 +LaCygne,,VARIOUS,KS,9/22/1999 1:00 +Wharton,,TRIANGLE,OH,9/22/1999 21:30 +Maple Grove,,OVAL,MN,9/22/1999 23:45 +Millsboro,,EGG,DE,9/23/1999 14:00 +Victor,,FORMATION,ID,9/23/1999 18:25 +Whitefish,RED,CIRCLE,MT,9/23/1999 22:00 +Hailey,,CIRCLE,ID,9/23/1999 22:50 +Chico,,OTHER,CA,9/24/1999 7:00 +Philadelphia,,FIREBALL,PA,9/24/1999 18:00 +New York,,LIGHT,NY,9/24/1999 19:30 +Troy,,TRIANGLE,MI,9/24/1999 19:30 +Euless,,,TX,9/24/1999 20:30 +Lower Lake,,TRIANGLE,CA,9/24/1999 22:00 +Franklin,RED BLUE,CIRCLE,NC,9/25/1999 2:00 +Everett,,LIGHT,WA,9/25/1999 19:15 +Goldendale,GREEN,CIRCLE,WA,9/25/1999 19:30 +Ewen,BLUE,FIREBALL,MI,9/25/1999 20:00 +Nashville,,CIGAR,TN,9/25/1999 20:00 +Riverside,,OTHER,CA,9/25/1999 21:20 +Duanesburg,,LIGHT,NY,9/25/1999 22:00 +Las Vegas,,DISK,NV,9/25/1999 23:08 +Las Vegas,,OVAL,NV,9/25/1999 23:08 +Lake Oswego,,FORMATION,OR,9/25/1999 23:10 +La Grande,,FIREBALL,OR,9/26/1999 9:30 +Bellevue,,TRIANGLE,WA,9/26/1999 11:30 +Calumet City,,CIRCLE,IL,9/26/1999 15:31 +Cape Kennedy,,OTHER,FL,9/27/1999 14:00 +Canby,,FORMATION,OR,9/27/1999 19:57 +Encino,,LIGHT,CA,9/27/1999 20:30 +Upper Sandusky,ORANGE,FIREBALL,OH,9/27/1999 21:45 +Columbus,,LIGHT,OH,9/28/1999 1:20 +Scottsdale,,DISK,AZ,9/28/1999 18:50 +Poca,,DISK,WV,9/28/1999 22:00 +Lubbock,,OTHER,TX,9/29/1999 7:02 +Olathe,,SPHERE,KS,9/29/1999 15:25 +Nashville,,FIREBALL,TN,9/29/1999 18:45 +Midwest City,RED GREEN,RECTANGLE,OK,9/29/1999 21:10 +Lawrence,,TRIANGLE,KS,9/29/1999 21:37 +Overland Park,,FIREBALL,KS,9/29/1999 22:30 +Morrowville,,SPHERE,KS,9/30/1999 15:35 +San Jose,,CIRCLE,CA,9/30/1999 17:30 +Chandler,,SPHERE,AZ,9/30/1999 19:30 +Mount Vernon,RED,DISK,WA,9/30/1999 20:24 +Rockville,,TRIANGLE,MD,9/30/1999 20:29 +Aberdeen,,TRIANGLE,WA,9/30/1999 21:00 +Livingston,,OTHER,NJ,9/30/1999 21:00 +Montesano,,TRIANGLE,WA,9/30/1999 21:00 +Pearl Ridge,BLUE,SPHERE,HI,9/30/1999 21:00 +San Rafael,,TRIANGLE,CA,9/30/1999 22:30 +San Antonio,,FIREBALL,TX,10/1/1999 0:30 +Oak Brook,GREEN,LIGHT,IL,10/1/1999 1:00 +Portland,,LIGHT,OR,10/1/1999 4:00 +Elyria,BLUE,TRIANGLE,OH,10/1/1999 4:40 +New York City,,,NY,10/1/1999 17:00 +Norman,,CIGAR,OK,10/1/1999 18:12 +Las Vegas,,LIGHT,NV,10/1/1999 19:00 +Nellis Air Force Base,,LIGHT,NV,10/1/1999 19:00 +Miami,GREEN,,FL,10/1/1999 20:00 +Endicott,,FORMATION,NY,10/1/1999 21:30 +Independence,,CHEVRON,MO,10/1/1999 22:05 +Alhambra,GREEN,LIGHT,CA,10/2/1999 1:45 +Tulsa,,CHEVRON,OK,10/2/1999 1:45 +Lewiston,,OTHER,NY,10/2/1999 12:00 +Prairie City,,CIGAR,OR,10/2/1999 19:08 +Tracy,,OTHER,CA,10/2/1999 19:15 +San Diego Co.,,DIAMOND,CA,10/2/1999 20:00 +St. George,,DISK,UT,10/2/1999 20:00 +Newport,,VARIOUS,OR,10/2/1999 20:30 +Vicksburg,,CIRCLE,MS,10/2/1999 22:00 +Kalispell,,CHEVRON,MT,10/2/1999 22:45 +Bridgeport,,CIRCLE,CT,10/3/1999 15:30 +Anson,,SPHERE,ME,10/3/1999 19:00 +Duncanville,,TRIANGLE,TX,10/3/1999 20:20 +Battle Ground,BLUE,CIRCLE,WA,10/3/1999 21:40 +Clackamas,GREEN,FIREBALL,OR,10/3/1999 21:40 +Tacoma,GREEN,CIRCLE,WA,10/3/1999 21:41 +Beaverton,,FIREBALL,OR,10/3/1999 21:44 +Salem,,FLASH,OR,10/3/1999 21:45 +Seattle,,TEARDROP,WA,10/3/1999 21:45 +Wilsonville,GREEN,FIREBALL,OR,10/3/1999 21:55 +Trail,,FIREBALL,OR,10/3/1999 22:00 +Trail,,FIREBALL,OR,10/3/1999 22:15 +Tacoma,GREEN,FIREBALL,WA,10/3/1999 22:40 +Orondo,,,WA,10/3/1999 23:00 +Kennesaw,,CIGAR,GA,10/3/1999 23:15 +Broomfield,,,CO,10/4/1999 2:00 +Rochester,,LIGHT,MN,10/4/1999 3:00 +Mount Vernon,,FIREBALL,WA,10/4/1999 10:05 +Gillette,,OTHER,WY,10/4/1999 17:25 +Tucson,,,AZ,10/4/1999 19:25 +Houston,,EGG,TX,10/4/1999 19:51 +Tampa,,CIRCLE,FL,10/5/1999 8:25 +Los Angeles,,CIGAR,GA,10/5/1999 15:00 +Yuma,,OTHER,AZ,10/5/1999 20:30 +Rosemount,,TRIANGLE,MN,10/5/1999 20:35 +Chesapeake,,OTHER,VA,10/5/1999 21:00 +Houston,,CHEVRON,TX,10/5/1999 21:00 +Tucson,,TRIANGLE,AZ,10/5/1999 21:15 +Wichita,,LIGHT,KS,10/6/1999 19:32 +St. Petersburg,,,FL,10/6/1999 20:00 +Angleton,RED,CROSS,TX,10/6/1999 20:35 +Manchester,,DISK,MO,10/6/1999 21:00 +May's Landing,,DISK,NJ,10/6/1999 22:46 +Conestoga,RED ORANGE,LIGHT,PA,10/6/1999 23:10 +Austin,,OTHER,TX,10/7/1999 4:00 +Goose Creek,BLUE,DISK,SC,10/7/1999 6:45 +Bouse,,FORMATION,AZ,10/7/1999 19:50 +Elkton,,,MD,10/7/1999 22:00 +Springfield,,FORMATION,MA,10/7/1999 23:02 +Bellevue,,CIRCLE,WA,10/8/1999 19:45 +Munds Park,,CONE,AZ,10/8/1999 21:00 +Bel Air,,TRIANGLE,MD,10/8/1999 21:30 +Lakeside,RED,DIAMOND,CA,10/8/1999 21:30 +Tyler,,FLASH,TX,10/8/1999 22:00 +Detroit Lakes,,TRIANGLE,MN,10/8/1999 23:15 +Los Angeles,,TRIANGLE,CA,10/9/1999 0:33 +Fairfield,,FIREBALL,CA,10/9/1999 1:00 +Port Orange,,DISK,FL,10/9/1999 12:15 +Leesburg,RED,OTHER,FL,10/9/1999 21:30 +Harker Heigts,,OTHER,TX,10/9/1999 22:00 +Martinez,RED GREEN,VARIOUS,CA,10/10/1999 0:01 +Kansas City,,,KS,10/10/1999 4:00 +Dallas,,OTHER,TX,10/10/1999 6:00 +San Diego,,FIREBALL,CA,10/10/1999 11:00 +Kennewick,,SPHERE,WA,10/10/1999 12:40 +Hayward,,CIRCLE,CA,10/10/1999 20:35 +Ashland,,LIGHT,MO,10/10/1999 21:00 +Rachel,,LIGHT,NV,10/10/1999 21:00 +Humphrey,,SPHERE,NE,10/10/1999 21:30 +Casey Key,,TRIANGLE,FL,10/10/1999 22:30 +Elgin,ORANGE,CHEVRON,OR,10/10/1999 22:30 +Lewiston,,OVAL,MI,10/10/1999 23:45 +Montgomery,,LIGHT,AL,10/11/1999 0:15 +Los Angeles,,LIGHT,CA,10/11/1999 4:30 +Somerset?,RED,,WI,10/11/1999 6:10 +Three Rivers,,OVAL,MI,10/11/1999 7:40 +Canby,,LIGHT,OR,10/11/1999 9:10 +Portville,,OVAL,NY,10/11/1999 20:15 +Portville,,OVAL,NY,10/11/1999 20:15 +Portville,YELLOW,OVAL,NY,10/11/1999 20:15 +Portville,YELLOW BLUE,OVAL,NY,10/11/1999 20:15 +Kirbyville,,OTHER,MO,10/11/1999 20:35 +Winnemucca,,CIGAR,NV,10/11/1999 21:00 +Ashland,,TRIANGLE,OR,10/11/1999 21:10 +Augusta,,LIGHT,KS,10/11/1999 21:30 +Montgomery,,LIGHT,TX,10/11/1999 21:30 +Eureka Springs,,LIGHT,AR,10/11/1999 21:45 +Parker's Lake,,DISK,KY,10/11/1999 22:15 +Addison,RED,DISK,IL,10/11/1999 22:30 +Missoula,,TRIANGLE,MT,10/12/1999 1:30 +Albany,,FIREBALL,OR,10/12/1999 5:11 +Miami,,OVAL,OK,10/12/1999 9:00 +Jersey,,DISK,NJ,10/12/1999 10:30 +Breezewood,YELLOW,FIREBALL,PA,10/12/1999 12:07 +Scottsdale,,CIGAR,AZ,10/12/1999 17:15 +Palominas,,TRIANGLE,AZ,10/12/1999 20:00 +Minnesota,,CHEVRON,MN,10/12/1999 21:33 +Port Townsend,,TRIANGLE,WA,10/12/1999 21:35 +Phoenix,ORANGE,FIREBALL,AZ,10/12/1999 22:00 +Tulsa,,OTHER,OK,10/12/1999 22:15 +Little Falls,,FORMATION,MN,10/12/1999 23:00 +Norwark,,FIREBALL,CT,10/12/1999 23:00 +Santa Fe,,DISK,NM,10/13/1999 9:45 +Florence,,TRIANGLE,KY,10/13/1999 17:20 +Pittsburgh,,OTHER,PA,10/13/1999 18:00 +Boscobel,RED,LIGHT,WI,10/13/1999 19:45 +Lansing,,CIRCLE,MI,10/13/1999 22:00 +Prescott,,LIGHT,AZ,10/14/1999 8:30 +Yonkers,,LIGHT,NY,10/14/1999 14:00 +El Paso,,TRIANGLE,TX,10/14/1999 20:15 +Mead,BLUE,LIGHT,WA,10/14/1999 20:20 +Warrensville,,CIRCLE,NC,10/14/1999 20:30 +Nashville,,LIGHT,TN,10/14/1999 22:10 +Raymond,,TRIANGLE,NH,10/14/1999 22:50 +Weed,GREEN,FIREBALL,CA,10/15/1999 0:00 +Lexington,,FIREBALL,MA,10/15/1999 2:00 +Columbia,,TRIANGLE,MO,10/15/1999 2:30 +Clines Corners,BLUE,LIGHT,NM,10/15/1999 3:00 +Conconully,,LIGHT,WA,10/15/1999 3:00 +Ritzville,,TRIANGLE,WA,10/15/1999 3:00 +Millersburg,,TRIANGLE,MO,10/15/1999 4:30 +Holden,,OVAL,MA,10/15/1999 5:00 +Lewistown,GREEN,LIGHT,MO,10/15/1999 6:01 +Fairfield,,LIGHT,ME,10/15/1999 8:00 +Old Westbury,,DISK,NY,10/15/1999 12:30 +Fremont,,DIAMOND,IN,10/15/1999 14:30 +Sierra Vista,,CIRCLE,AZ,10/15/1999 18:00 +Taylor,,SPHERE,MI,10/15/1999 18:30 +Kansas City,,OTHER,MO,10/15/1999 19:00 +Newbern,,LIGHT,TN,10/15/1999 19:20 +Breckenridge,,OTHER,TX,10/15/1999 20:00 +Seattle,,CHEVRON,WA,10/15/1999 20:15 +Ellis,,LIGHT,KS,10/15/1999 20:30 +Ellis,,OVAL,KS,10/15/1999 20:30 +Yerington,,CHEVRON,NV,10/15/1999 20:30 +Phoenix,ORANGE,SPHERE,AZ,10/15/1999 21:00 +Buffalo,ORANGE,TRIANGLE,NY,10/15/1999 23:00 +Copeville,GREEN,TRIANGLE,TX,10/15/1999 23:00 +Stockbridge,,TRIANGLE,GA,10/15/1999 23:00 +Geyserville,,,CA,10/15/1999 23:30 +Conway,BLUE,SPHERE,AR,10/16/1999 0:05 +Redwood Shores,,OTHER,CA,10/16/1999 18:30 +San Mateo,,DISK,CA,10/16/1999 19:00 +Chattanooga,,TRIANGLE,TN,10/16/1999 21:35 +Danville,RED,LIGHT,KY,10/16/1999 22:00 +The Colony,,TRIANGLE,TX,10/16/1999 22:00 +Houston,,OVAL,TX,10/16/1999 22:15 +Chatsworth,ORANGE,SPHERE,GA,10/16/1999 22:30 +Signal Mountain,ORANGE,CIGAR,TN,10/17/1999 3:30 +Moab,,FIREBALL,UT,10/17/1999 4:00 +Charlotte,,CIGAR,NC,10/17/1999 14:00 +Jacksonville,,CHEVRON,FL,10/17/1999 15:00 +Jacksonville,,CHEVRON,FL,10/17/1999 15:00 +Covington,,VARIOUS,WA,10/17/1999 15:05 +Warrensville,,LIGHT,NC,10/17/1999 21:00 +Los Angeles,,CHEVRON,CA,10/18/1999 1:45 +Latrobe,,,PA,10/18/1999 3:00 +Ventura,,,CA,10/18/1999 4:30 +Bellevue,RED GREEN,LIGHT,WA,10/18/1999 4:33 +Page,,CIRCLE,AZ,10/18/1999 20:00 +Atlanta,,OTHER,GA,10/18/1999 23:38 +Van Nuys,,TRIANGLE,CA,10/19/1999 3:10 +Mesa,,LIGHT,AZ,10/19/1999 5:45 +Everson,,OTHER,WA,10/19/1999 7:35 +Bozeman,,,MT,10/19/1999 17:30 +Santa Clarita Valley,RED,DISK,CA,10/19/1999 18:30 +Indianapolis,,LIGHT,IN,10/19/1999 19:20 +Superior,,LIGHT,CO,10/19/1999 20:00 +Apache Junction,,OTHER,AZ,10/19/1999 22:00 +Round Rock,,SPHERE,TX,10/19/1999 22:45 +Conway,BLUE,TRIANGLE,AR,10/19/1999 23:35 +Seattle,,SPHERE,WA,10/20/1999 1:30 +White River National Forest,,LIGHT,AR,10/20/1999 2:00 +Boise,,LIGHT,ID,10/20/1999 7:25 +Stevensville,,OTHER,MT,10/20/1999 8:15 +Stevensville,,OTHER,MT,10/20/1999 8:15 +Temple,,CYLINDER,TX,10/20/1999 19:00 +Spanaway,,,WA,10/20/1999 22:20 +Shoreline,ORANGE YELLOW,FIREBALL,WA,10/20/1999 22:25 +Amity,ORANGE,CIRCLE,OR,10/20/1999 22:30 +Milwaukee,,SPHERE,WI,10/20/1999 22:30 +Montesano,,FIREBALL,WA,10/20/1999 22:30 +Tumwater,,FIREBALL,WA,10/20/1999 22:30 +Portland,,CIRCLE,OR,10/20/1999 22:33 +Kingston,,LIGHT,WA,10/20/1999 22:35 +Lewistown,,OTHER,IL,10/20/1999 23:00 +Lakeville,GREEN,LIGHT,MN,10/21/1999 3:45 +Kansas City,,CYLINDER,MO,10/21/1999 11:55 +Tehachapi,BLUE,CHEVRON,CA,10/21/1999 13:00 +Lancaster,,LIGHT,PA,10/21/1999 20:00 +Maryville,,CYLINDER,TN,10/21/1999 21:00 +Auburn,,LIGHT,WA,10/21/1999 22:35 +Tigard,,LIGHT,OR,10/21/1999 23:40 +Ripley,,RECTANGLE,TN,10/22/1999 1:30 +Klamath Falls,,SPHERE,OR,10/22/1999 6:10 +Hamilton,,CIGAR,OH,10/22/1999 9:00 +Kansas City,,CYLINDER,MO,10/22/1999 12:00 +Irvine,,DIAMOND,CA,10/22/1999 13:30 +Daytona Beach,,VARIOUS,FL,10/22/1999 14:10 +Sikeston,GREEN,LIGHT,MO,10/22/1999 22:45 +Rocklin,,,CA,10/23/1999 6:30 +Florien,,TEARDROP,LA,10/23/1999 7:15 +Erie,,CYLINDER,CO,10/23/1999 18:00 +Hayward,,CYLINDER,CA,10/23/1999 21:00 +Hayward,,DISK,CA,10/23/1999 21:30 +Norwood,,TRIANGLE,PA,10/23/1999 22:30 +Mesa,,LIGHT,AZ,10/24/1999 1:15 +Iowa City,,SPHERE,IA,10/24/1999 6:00 +Baldwin,,LIGHT,WI,10/24/1999 11:30 +Downers Grove,,OVAL,IL,10/24/1999 22:00 +Gardena,,CHEVRON,CA,10/24/1999 23:35 +Florence,,VARIOUS,MS,10/25/1999 11:30 +Corinne,,DISK,UT,10/25/1999 12:18 +Arlington,,SPHERE,TX,10/25/1999 15:00 +Huntington Beach,,EGG,CA,10/25/1999 19:30 +Lawrenceville,,TRIANGLE,GA,10/25/1999 21:00 +Yadkinville,,FIREBALL,NC,10/25/1999 21:00 +Bullhead City,RED,LIGHT,AZ,10/25/1999 23:05 +San Jose,,VARIOUS,CA,10/26/1999 0:00 +Reseda,,SPHERE,CA,10/26/1999 1:40 +Costa Mesa,,LIGHT,CA,10/26/1999 2:38 +Dallas,,TRIANGLE,TX,10/26/1999 2:40 +DFW Airport,,,TX,10/26/1999 2:40 +Carthage,RED,TRIANGLE,TX,10/26/1999 4:30 +Cookstown,RED GREEN,CYLINDER,NJ,10/26/1999 6:00 +Concord,,OTHER,NC,10/26/1999 7:05 +Clinton,,TRIANGLE,SC,10/26/1999 12:00 +Oshkosh,,CYLINDER,WI,10/26/1999 14:45 +Charlotte,,LIGHT,NC,10/26/1999 18:00 +Moravia,RED,FLASH,NY,10/26/1999 19:10 +Tacoma,,TRIANGLE,WA,10/26/1999 19:30 +Chesapeak Bay,,DISK,MD,10/26/1999 20:00 +Melbourne Beach,,TRIANGLE,FL,10/26/1999 21:00 +Studio City,,TRIANGLE,CA,10/26/1999 21:00 +Lombard,,DISK,IL,10/26/1999 22:00 +Westmont,ORANGE,OVAL,IL,10/26/1999 22:05 +Chicago,,,IL,10/26/1999 22:15 +Petal,,TRIANGLE,MS,10/26/1999 23:12 +Laurel,RED GREEN,OVAL,MS,10/26/1999 23:13 +Kansas City,,CIRCLE,MO,10/27/1999 16:45 +Austin,,OVAL,TX,10/27/1999 19:30 +Tucson,,FIREBALL,AZ,10/27/1999 23:00 +Knoxville,,,TN,10/27/1999 23:55 +Canfield,RED BLUE,LIGHT,OH,10/28/1999 1:40 +Augusta,,LIGHT,KS,10/28/1999 1:50 +Cedar Rapids,,TEARDROP,IA,10/28/1999 4:47 +Little Rock,,,AR,10/28/1999 13:45 +Phoenix,,VARIOUS,AZ,10/28/1999 17:55 +Rachel,,LIGHT,NV,10/29/1999 1:30 +Tuscaloosa,,CIRCLE,AL,10/29/1999 17:45 +Ocean City,,LIGHT,MD,10/29/1999 21:30 +Bozeman,,LIGHT,MT,10/29/1999 22:00 +Carpinteria,,LIGHT,CA,10/30/1999 0:25 +La Jolla,,TRIANGLE,CA,10/30/1999 3:36 +Woodbridge,RED ORANGE,OVAL,VA,10/30/1999 18:55 +San Diego,,CHEVRON,CA,10/30/1999 19:25 +Tracy,,DISK,CA,10/30/1999 20:00 +La Grande,,RECTANGLE,OR,10/30/1999 22:00 +Smithville,RED,CIRCLE,TX,10/30/1999 22:30 +Martha's Vinyard,,,MA,10/31/1999 0:00 +Houston,RED BLUE,CYLINDER,TX,10/31/1999 0:30 +San Diego,ORANGE,FIREBALL,CA,10/31/1999 9:30 +Denver,,SPHERE,CO,10/31/1999 17:30 +Rochelle,,FIREBALL,IL,10/31/1999 18:00 +Graham,,OTHER,WA,10/31/1999 18:15 +Nassau,,TRIANGLE,NY,10/31/1999 18:45 +Clinton,,,WA,10/31/1999 19:00 +Imperial Beach,RED,FIREBALL,CA,10/31/1999 19:30 +Ashland,YELLOW,OTHER,OR,10/31/1999 20:00 +Auburn,GREEN,RECTANGLE,GA,10/31/1999 20:00 +Auburn,GREEN,CIRCLE,GA,10/31/1999 20:30 +Billings,RED,,MT,10/31/1999 21:30 +Orland Park,,CIRCLE,IL,10/31/1999 23:30 +Turner,RED,CIRCLE,OR,10/31/1999 23:48 +New Orleans,,CYLINDER,LA,11/1/1999 0:00 +Newberg,,OTHER,OR,11/1/1999 2:00 +Scappoose,RED,OVAL,OR,11/1/1999 3:00 +Las Vegas,,OVAL,NV,11/1/1999 4:00 +South Bend,GREEN,TRIANGLE,IN,11/1/1999 6:22 +Walker County,RED,CIRCLE,TX,11/1/1999 15:00 +New York City,,CIGAR,NY,11/1/1999 16:40 +San Diego,,EGG,CA,11/1/1999 17:50 +Notrees,,LIGHT,TX,11/1/1999 18:30 +Clear Lake,,VARIOUS,TX,11/1/1999 19:10 +Torrance,,TRIANGLE,CA,11/1/1999 20:00 +Howell,,DISK,MI,11/1/1999 21:30 +South Republic,,TRIANGLE,MI,11/1/1999 22:30 +Kent,RED,DISK,WA,11/2/1999 1:00 +Baton Rouge,,TRIANGLE,LA,11/2/1999 19:15 +Duncan,,OTHER,OK,11/2/1999 20:25 +South Pasadena,ORANGE,CIRCLE,CA,11/2/1999 20:25 +Area 51,,CIRCLE,NV,11/3/1999 2:00 +Jackson,RED,LIGHT,TN,11/3/1999 3:30 +Amarillo,,CIRCLE,TX,11/3/1999 17:30 +Leighton,ORANGE,TRIANGLE,AL,11/3/1999 21:00 +Pueblo,,OTHER,CO,11/4/1999 0:28 +Issaquah,,TRIANGLE,WA,11/4/1999 13:50 +Kent,,DISK,WA,11/4/1999 22:50 +Hillsborough,,OVAL,CA,11/5/1999 0:00 +Santa Rosa,,,CA,11/5/1999 0:30 +Hauppauge,,DISK,NY,11/5/1999 3:10 +Burlingame,,VARIOUS,CA,11/5/1999 17:30 +Santa Clara,,RECTANGLE,CA,11/5/1999 18:15 +Raleigh,,DISK,NC,11/5/1999 18:44 +Carbondale,RED,DISK,KS,11/5/1999 19:30 +Rancho Santa Margarita,,CHEVRON,CA,11/5/1999 19:30 +Springfield,RED,FIREBALL,MO,11/5/1999 21:35 +Fair Oaks,,DIAMOND,CA,11/5/1999 22:34 +Wyoming,RED BLUE,LIGHT,MI,11/6/1999 0:23 +Landover,,CIRCLE,MD,11/6/1999 1:30 +Canon City,RED,LIGHT,CO,11/6/1999 2:15 +Allentown,,DISK,PA,11/6/1999 11:43 +Matawan,ORANGE,TRIANGLE,NJ,11/6/1999 18:03 +Chaco Canyon,,OTHER,NM,11/6/1999 20:30 +Ashland,,DISK,WI,11/6/1999 22:00 +Pittsburgh,,FORMATION,PA,11/6/1999 23:45 +Charlotte,,LIGHT,NC,11/7/1999 3:00 +Northbrook,,DIAMOND,IL,11/7/1999 17:58 +Almont,,LIGHT,MI,11/7/1999 18:00 +Princeton,,,NJ,11/7/1999 21:40 +Bullhead City,,LIGHT,AZ,11/7/1999 22:55 +Emmetsburg,,,IA,11/8/1999 5:28 +New York City,,LIGHT,NY,11/8/1999 6:32 +Iowa City,BLUE,EGG,IA,11/8/1999 10:00 +Hurst,,TRIANGLE,TX,11/8/1999 11:00 +San Francisco,,LIGHT,CA,11/8/1999 19:00 +Hinesburg,,,VT,11/8/1999 19:15 +Austin,,,TX,11/8/1999 20:45 +La Grande,,FORMATION,OR,11/8/1999 22:25 +Irma,,OTHER,WI,11/8/1999 23:00 +Atlanta,GREEN,TEARDROP,GA,11/9/1999 2:40 +Killeen,,LIGHT,TX,11/9/1999 3:45 +Fort Smith,,LIGHT,AR,11/9/1999 5:13 +Cave Spring,,DISK,GA,11/9/1999 6:30 +N State St,,DISK,MS,11/9/1999 17:10 +The Colony,GREEN,FLASH,TX,11/9/1999 18:35 +Flagstaff,,TRIANGLE,AZ,11/9/1999 18:43 +Phoenix,,LIGHT,AZ,11/9/1999 19:40 +Burgaw,ORANGE BLUE,LIGHT,NC,11/9/1999 20:00 +Dahlonega,RED GREEN,FIREBALL,GA,11/9/1999 20:25 +Mandaree,,CIRCLE,ND,11/9/1999 20:30 +Atlanta,,LIGHT,GA,11/9/1999 20:50 +Altoona,,TRIANGLE,PA,11/9/1999 21:00 +El Dorado,RED,LIGHT,KS,11/9/1999 22:49 +St. Louis,,,MO,11/10/1999 0:01 +Los Angeles,,OTHER,CA,11/10/1999 2:00 +Chicago,,,IL,11/10/1999 2:30 +Fair Oaks,,FIREBALL,CA,11/10/1999 5:12 +Henderson,,LIGHT,KY,11/10/1999 10:35 +House Springs,,LIGHT,MO,11/10/1999 18:10 +Flagstaff,,OTHER,AZ,11/10/1999 19:00 +Valatie,,TRIANGLE,NY,11/10/1999 20:00 +Florence,,FIREBALL,SC,11/10/1999 20:15 +Atlanta,,,GA,11/10/1999 23:00 +Meridian Navel Air Station,RED,FORMATION,MS,11/11/1999 2:00 +El Centro,,CIGAR,CA,11/11/1999 16:20 +Fallbrook,ORANGE,SPHERE,CA,11/11/1999 16:50 +Keasbey {Woodbridge},,CIGAR,NJ,11/11/1999 16:50 +Pflugerville,,LIGHT,TX,11/11/1999 19:42 +Bensalem,RED,LIGHT,PA,11/11/1999 20:20 +Wauwatosa,,CIGAR,WI,11/11/1999 23:05 +Burbank,,OTHER,CA,11/12/1999 1:03 +Denver,,RECTANGLE,CO,11/12/1999 19:00 +Wyandotte,,OTHER,MI,11/12/1999 19:00 +Gray,,TRIANGLE,TN,11/12/1999 20:30 +Jackson,,SPHERE,MS,11/12/1999 23:45 +Los Angeles,,LIGHT,CA,11/13/1999 2:30 +Moorehead,,FLASH,KY,11/13/1999 4:30 +Morristown,,,AZ,11/13/1999 6:35 +Midlothian,RED,DISK,IL,11/13/1999 17:30 +Boulder,,FORMATION,CO,11/13/1999 21:00 +Corbett,,FLASH,OR,11/13/1999 21:00 +El Dorado Hills,,LIGHT,CA,11/13/1999 22:00 +Sprague,BLUE,OTHER,WA,11/14/1999 0:45 +Asheville,,OTHER,NC,11/14/1999 2:00 +Bolivar,RED,LIGHT,TN,11/14/1999 2:06 +Addison,,TRIANGLE,TX,11/14/1999 3:30 +Stuart,,OVAL,FL,11/14/1999 4:30 +Arlington Heights,,CONE,IL,11/14/1999 5:00 +Sunland,,,CA,11/14/1999 15:00 +Port Richey,,LIGHT,FL,11/14/1999 18:05 +Cumby,,,TX,11/14/1999 18:45 +Grand Marsh,,CIRCLE,WI,11/14/1999 19:00 +Geneva,RED,,IL,11/14/1999 19:27 +Haltom City,BLUE,VARIOUS,TX,11/14/1999 21:30 +Port St. Lucie,ORANGE YELLOW,OVAL,FL,11/14/1999 22:05 +Yuma,,CIRCLE,AZ,11/15/1999 5:50 +Minneapolis,,CYLINDER,MN,11/15/1999 7:45 +Murfreesboro,,SPHERE,TN,11/15/1999 17:00 +Cedar Rapids,ORANGE GREEN,FIREBALL,IA,11/15/1999 18:00 +Yelm,,OTHER,WA,11/15/1999 20:00 +Ada,,LIGHT,MI,11/15/1999 21:15 +"Rancho Cordova, just east",,LIGHT,CA,11/15/1999 22:10 +Smithville,,CIRCLE,TN,11/15/1999 22:15 +Millwood,,FORMATION,KY,11/16/1999 0:00 +Griffith,,FLASH,IN,11/16/1999 2:00 +Tigard,,CHEVRON,OR,11/16/1999 3:20 +Dallas,GREEN,FLASH,TX,11/16/1999 5:00 +Diamond Bar,,DISK,CA,11/16/1999 7:15 +Springfield,,CYLINDER,MO,11/16/1999 14:00 +Albany,ORANGE,FIREBALL,NY,11/16/1999 16:00 +Burtons Bridge,,FIREBALL,IL,11/16/1999 16:15 +Lapeer,,CIGAR,MI,11/16/1999 17:00 +Winona,,FIREBALL,MN,11/16/1999 17:15 +Medina,BLUE,FIREBALL,OH,11/16/1999 17:20 +Alpena,,,MI,11/16/1999 17:30 +Scottsdale,,TRIANGLE,AZ,11/16/1999 17:30 +Chicago,,CIRCLE,IL,11/16/1999 18:00 +Chicago,,FIREBALL,IL,11/16/1999 18:00 +Fulton,,,MI,11/16/1999 18:00 +Kellogg,,CIRCLE,IA,11/16/1999 18:00 +Lowell,,RECTANGLE,IN,11/16/1999 18:00 +Madison,,FIREBALL,WI,11/16/1999 18:00 +Mequon,BLUE,FIREBALL,WI,11/16/1999 18:00 +Mexico,GREEN,TEARDROP,MO,11/16/1999 18:00 +Mt. Washington,,FIREBALL,KY,11/16/1999 18:00 +Nashville,,FIREBALL,IN,11/16/1999 18:00 +Nashville,,FIREBALL,TN,11/16/1999 18:00 +Neenah,GREEN,DISK,WI,11/16/1999 18:00 +Normal,,FIREBALL,IL,11/16/1999 18:00 +Owenton,,FORMATION,KY,11/16/1999 18:00 +Rural,RED GREEN,OVAL,MO,11/16/1999 18:00 +St. Louis,,FIREBALL,MO,11/16/1999 18:00 +Vandalia,,FIREBALL,OH,11/16/1999 18:00 +West Lima,,FIREBALL,WI,11/16/1999 18:02 +Norwalk,BLUE,FIREBALL,IA,11/16/1999 18:04 +Paddock Lake,,FIREBALL,WI,11/16/1999 18:04 +Apple Valley,RED,CIRCLE,MN,11/16/1999 18:05 +Appleton,YELLOW,FIREBALL,WI,11/16/1999 18:05 +Aurora,,FIREBALL,IL,11/16/1999 18:05 +Barrington,GREEN BLUE,FORMATION,IL,11/16/1999 18:05 +Chicago,GREEN,FIREBALL,IL,11/16/1999 18:05 +Cookeville,,OVAL,TN,11/16/1999 18:05 +Downers Grove,RED ORANGE GREEN,CHEVRON,IL,11/16/1999 18:05 +Durant,ORANGE GREEN BLUE,FIREBALL,IA,11/16/1999 18:05 +Fairfield,,FIREBALL,IA,11/16/1999 18:05 +Farmer City,,,IL,11/16/1999 18:05 +Jamestown,GREEN,LIGHT,TN,11/16/1999 18:05 +Jamestown,GREEN,LIGHT,TN,11/16/1999 18:05 +Milwaukee,GREEN,FIREBALL,WI,11/16/1999 18:05 +Mundelein,GREEN,FIREBALL,IL,11/16/1999 18:05 +Onalaska,YELLOW,TEARDROP,WI,11/16/1999 18:05 +Racine,GREEN,FIREBALL,WI,11/16/1999 18:05 +Shawano,ORANGE YELLOW,CIGAR,WI,11/16/1999 18:05 +St. Louis,,FIREBALL,MO,11/16/1999 18:05 +St. Louis,,FIREBALL,MO,11/16/1999 18:05 +St. Peters,ORANGE,FIREBALL,MO,11/16/1999 18:05 +Onton,,FIREBALL,KY,11/16/1999 18:06 +Woodstock,,FIREBALL,IL,11/16/1999 18:06 +St.Charles,ORANGE YELLOW GREEN,CIRCLE,IL,11/16/1999 18:07 +Hebron,,OTHER,IN,11/16/1999 18:08 +Elgin,,FIREBALL,IL,11/16/1999 18:10 +Sumner county,,FIREBALL,TN,11/16/1999 18:10 +St. Louis,,LIGHT,MO,11/16/1999 18:15 +Gallatin,,FIREBALL,TN,11/16/1999 18:20 +Oakbrook,GREEN,FIREBALL,IL,11/16/1999 18:20 +Taylorville,,LIGHT,IL,11/16/1999 18:20 +Grand Rapids,RED,LIGHT,MI,11/16/1999 18:25 +State College,RED ORANGE,FIREBALL,PA,11/16/1999 18:30 +Sycamore,,FIREBALL,IL,11/16/1999 18:30 +Elberfeld,,FIREBALL,IN,11/16/1999 18:40 +Houston,,LIGHT,TX,11/16/1999 18:40 +Over southern Lake Erie,,VARIOUS,OH,11/16/1999 18:45 +Lake Havasu,,TRIANGLE,AZ,11/16/1999 18:50 +Ashland,,LIGHT,KY,11/16/1999 18:55 +Louisville,,LIGHT,KY,11/16/1999 18:55 +New York,,VARIOUS,NY,11/16/1999 18:55 +Avilla,,FIREBALL,IN,11/16/1999 19:00 +Central Lake,GREEN,,MI,11/16/1999 19:00 +Chicago,,TRIANGLE,IL,11/16/1999 19:00 +Chillicothe,,LIGHT,OH,11/16/1999 19:00 +Cincinnati,RED YELLOW GREEN,FIREBALL,OH,11/16/1999 19:00 +Cleveland,,FIREBALL,WI,11/16/1999 19:00 +Cleveland,,LIGHT,OH,11/16/1999 19:00 +Columbus,,FIREBALL,OH,11/16/1999 19:00 +Columbus,,OTHER,MI,11/16/1999 19:00 +Detroit,,,MI,11/16/1999 19:00 +East Lansing,,,MI,11/16/1999 19:00 +Hadley,RED,FIREBALL,MI,11/16/1999 19:00 +Hilton,,FORMATION,NY,11/16/1999 19:00 +Kalamazoo,,FIREBALL,MI,11/16/1999 19:00 +Louisville,,LIGHT,KY,11/16/1999 19:00 +Manitowoc Rapids,,FIREBALL,WI,11/16/1999 19:00 +Michigan City,,FORMATION,IN,11/16/1999 19:00 +Middletown,GREEN,TRIANGLE,OH,11/16/1999 19:00 +Mount Vernon,,CIGAR,OH,11/16/1999 19:00 +New Philidelphia,,FORMATION,OH,11/16/1999 19:00 +North Royalton,,FIREBALL,OH,11/16/1999 19:00 +Rockford,,FIREBALL,MI,11/16/1999 19:00 +South Lyon,,FIREBALL,MI,11/16/1999 19:00 +Sterling Heights,,FIREBALL,MI,11/16/1999 19:00 +Toledo,,FIREBALL,OH,11/16/1999 19:00 +Two Rivers,,FIREBALL,WI,11/16/1999 19:00 +Waterford,,FIREBALL,MI,11/16/1999 19:00 +Dayton,,,OH,11/16/1999 19:02 +Jackson,GREEN,SPHERE,OH,11/16/1999 19:02 +Westerville,ORANGE GREEN BLUE,FIREBALL,OH,11/16/1999 19:02 +Kewadin,,CIRCLE,MI,11/16/1999 19:03 +Kewadin,,CIRCLE,MI,11/16/1999 19:03 +New York City,,VARIOUS,NY,11/16/1999 19:03 +Birch Run,,FORMATION,MI,11/16/1999 19:04 +Fremont,,OTHER,OH,11/16/1999 19:04 +Jeffersonville,,FIREBALL,IN,11/16/1999 19:04 +Lebanon,ORANGE,FIREBALL,OH,11/16/1999 19:04 +Louisville,GREEN BLUE,VARIOUS,KY,11/16/1999 19:04 +Springfield,,FIREBALL,OH,11/16/1999 19:04 +West Chester,GREEN,FIREBALL,OH,11/16/1999 19:04 +Anna,,LIGHT,OH,11/16/1999 19:05 +Baldwin,GREEN,FIREBALL,MI,11/16/1999 19:05 +Cincinnati,,LIGHT,OH,11/16/1999 19:05 +Cleveland,,FIREBALL,OH,11/16/1999 19:05 +Englewood Cliffs,,CIRCLE,NJ,11/16/1999 19:05 +Fairborn,,OTHER,OH,11/16/1999 19:05 +Fort Wayne,GREEN,FIREBALL,IN,11/16/1999 19:05 +Greenville,RED GREEN,CIGAR,IN,11/16/1999 19:05 +Hilliard,,FLASH,OH,11/16/1999 19:05 +Howell,,FORMATION,MI,11/16/1999 19:05 +Hudson,,OTHER,OH,11/16/1999 19:05 +Indianapolis,GREEN,LIGHT,IN,11/16/1999 19:05 +Kearneysville,,LIGHT,WV,11/16/1999 19:05 +Madison,,OTHER,IN,11/16/1999 19:05 +Napoleon,,FIREBALL,OH,11/16/1999 19:05 +Norwalk,,OTHER,OH,11/16/1999 19:05 +Springfield,,FORMATION,OH,11/16/1999 19:05 +Terre Haute,,FIREBALL,IN,11/16/1999 19:05 +Whitmore Lake,,TEARDROP,MI,11/16/1999 19:05 +Parma,GREEN,CIRCLE,OH,11/16/1999 19:06 +Sterling Heights,ORANGE YELLOW,FIREBALL,MI,11/16/1999 19:06 +Mt. Weather,BLUE,FIREBALL,VA,11/16/1999 19:07 +Shrewsbury,,CIRCLE,PA,11/16/1999 19:07 +Dearborn Heights,,FIREBALL,MI,11/16/1999 19:08 +South Point,,FIREBALL,OH,11/16/1999 19:08 +Vicksburg,ORANGE,FIREBALL,MI,11/16/1999 19:08 +St. Johns,,OTHER,MI,11/16/1999 19:09 +Cleveland,,DISK,OH,11/16/1999 19:10 +Columbus,,LIGHT,OH,11/16/1999 19:10 +Columbus Grove,,CIRCLE,OH,11/16/1999 19:10 +Crestwood,,CIGAR,KY,11/16/1999 19:10 +Detroit,,FORMATION,MI,11/16/1999 19:10 +Detroit,,FORMATION,MI,11/16/1999 19:10 +Holland,,FORMATION,OH,11/16/1999 19:10 +Indianapolis,,FIREBALL,IN,11/16/1999 19:10 +Joppatowne,,LIGHT,MD,11/16/1999 19:10 +Louisville,,FIREBALL,KY,11/16/1999 19:10 +Mechanicsburg,,FORMATION,PA,11/16/1999 19:10 +Shelby Township,RED ORANGE,CIGAR,MI,11/16/1999 19:10 +St. Clair Shores,,FORMATION,MI,11/16/1999 19:10 +Strongsville,,FIREBALL,OH,11/16/1999 19:10 +Hamilton,,FIREBALL,OH,11/16/1999 19:12 +South Lyon,,FIREBALL,MI,11/16/1999 19:12 +Chicago,RED,FIREBALL,IL,11/16/1999 19:15 +Cincinnati,GREEN,FIREBALL,OH,11/16/1999 19:15 +Cleveland,,EGG,OH,11/16/1999 19:15 +Swartz Creek,,FORMATION,MI,11/16/1999 19:15 +Urbana,RED YELLOW,FORMATION,OH,11/16/1999 19:15 +Kent County,,FIREBALL,MI,11/16/1999 19:20 +Columbus,,,OH,11/16/1999 19:30 +San Manuel,,TRIANGLE,AZ,11/16/1999 19:30 +West Virginia,,FIREBALL,WV,11/16/1999 19:30 +Duncannon,,SPHERE,PA,11/16/1999 19:35 +Lehighton,,LIGHT,PA,11/16/1999 19:40 +Flint,,FORMATION,MI,11/16/1999 20:00 +Harvey,,FORMATION,LA,11/16/1999 20:00 +Ocala,,TRIANGLE,FL,11/16/1999 20:00 +Fort Wayne,GREEN,FIREBALL,IN,11/16/1999 20:30 +Kelseyville,,LIGHT,CA,11/16/1999 20:35 +Alameda,,CHEVRON,CA,11/16/1999 20:50 +Rochester Hills,,OTHER,MI,11/16/1999 21:00 +Crystal Lake,,FIREBALL,IL,11/16/1999 21:05 +Simpsonville,,FIREBALL,KY,11/16/1999 21:30 +Smithville,,TEARDROP,TN,11/16/1999 22:15 +North Las Vegas,GREEN,OTHER,NV,11/16/1999 22:30 +Burlingame,,OTHER,CA,11/16/1999 22:40 +Kayenta,,LIGHT,AZ,11/16/1999 23:00 +Rocky Mount,,LIGHT,NC,11/16/1999 23:00 +Lafayette,,OTHER,CO,11/16/1999 23:03 +Columbia,ORANGE,CHEVRON,MO,11/16/1999 23:15 +Woodbury,,RECTANGLE,MN,11/16/1999 23:15 +Berks County,,LIGHT,PA,11/16/1999 23:30 +Oklahoma City,GREEN BLUE,EGG,OK,11/16/1999 23:30 +Overland Park,,DIAMOND,KS,11/16/1999 23:30 +Seattle,,OTHER,WA,11/17/1999 0:00 +Ringgold,RED ORANGE,CIRCLE,GA,11/17/1999 0:30 +Lincoln City,,LIGHT,OR,11/17/1999 2:00 +San Rafael,ORANGE,TRIANGLE,CA,11/17/1999 2:00 +Erie,,SPHERE,PA,11/17/1999 2:35 +Sandusky,,SPHERE,OH,11/17/1999 3:00 +Casa Grande,,LIGHT,AZ,11/17/1999 5:05 +Fort Worth,,CYLINDER,TX,11/17/1999 13:00 +Raymond,,TRIANGLE,ME,11/17/1999 14:30 +Franklin,,,TN,11/17/1999 16:30 +Conway,,TEARDROP,SC,11/17/1999 17:20 +Denver,,OTHER,CO,11/17/1999 18:15 +Sumrall,,,MS,11/17/1999 21:23 +Cliffside Park,,,NJ,11/17/1999 22:00 +Ashgrove,ORANGE,LIGHT,MO,11/17/1999 22:15 +Tucson,,TRIANGLE,AZ,11/17/1999 23:30 +Sumrall,,,MS,11/18/1999 0:18 +Braintree,,LIGHT,MA,11/18/1999 0:25 +Columbus,,TRIANGLE,OH,11/18/1999 1:00 +Houston,,TRIANGLE,TX,11/18/1999 1:20 +Columbus,,TRIANGLE,OH,11/18/1999 1:50 +Carlsbad,,TRIANGLE,CA,11/18/1999 2:18 +Redding,,OTHER,CA,11/18/1999 3:20 +Houston,,CIRCLE,TX,11/18/1999 5:00 +Houston,BLUE,FORMATION,TX,11/18/1999 5:00 +Lake Whitney - 90 miles south,,LIGHT,TX,11/18/1999 5:45 +Arcadia,,LIGHT,LA,11/18/1999 18:00 +Cleveland,,DISK,GA,11/18/1999 18:00 +Edison,,LIGHT,NJ,11/18/1999 19:15 +St. Petersburg,RED,LIGHT,FL,11/18/1999 20:00 +San Diego,,LIGHT,CA,11/18/1999 20:30 +Denver,,OTHER,CO,11/18/1999 21:10 +Ohio,,FORMATION,OH,11/19/1999 2:15 +Indio,,TRIANGLE,CA,11/19/1999 3:00 +Sherman Oaks,,OTHER,CA,11/19/1999 21:07 +Andes,,CYLINDER,NY,11/19/1999 22:00 +Anthony,,DISK,KS,11/20/1999 2:00 +Midlothian,BLUE,FIREBALL,VA,11/20/1999 5:30 +Toledo,,FIREBALL,OH,11/20/1999 14:00 +West Carrollton,,DISK,OH,11/20/1999 16:30 +Austin,,FORMATION,TX,11/20/1999 21:50 +Naples,,VARIOUS,FL,11/20/1999 22:22 +Toms River,,OTHER,NJ,11/20/1999 23:30 +Bellflower,,FIREBALL,CA,11/20/1999 23:45 +Lima,,SPHERE,OH,11/21/1999 1:30 +Rickman,,OTHER,TN,11/21/1999 2:10 +Norcross,,,GA,11/21/1999 17:03 +Auburn,,LIGHT,WA,11/21/1999 18:10 +Kalispell,,CIRCLE,MT,11/22/1999 23:00 +Bradenton,,FIREBALL,FL,11/22/1999 23:30 +Petaluma,,LIGHT,CA,11/23/1999 2:00 +Half Moon Bay,,CHEVRON,CA,11/23/1999 11:15 +Barbourville,GREEN BLUE,VARIOUS,KY,11/23/1999 16:45 +San Francisco,,DISK,CA,11/23/1999 17:20 +Kent,RED,LIGHT,WA,11/23/1999 18:00 +Belton,RED,OVAL,MO,11/23/1999 18:10 +Pekin,,CIGAR,IN,11/23/1999 18:15 +Fresno,,DISK,CA,11/23/1999 19:56 +Central,,OTHER,OK,11/23/1999 21:00 +Casper,,SPHERE,WY,11/23/1999 22:30 +Bullhead City,,SPHERE,AZ,11/23/1999 23:55 +Anaheim,,FIREBALL,CA,11/24/1999 10:00 +Brookfield,RED,LIGHT,MO,11/24/1999 18:00 +Tri-Cities,,CIRCLE,WA,11/24/1999 20:05 +Wilton,,VARIOUS,MO,11/24/1999 20:15 +Sacramento,,CHEVRON,CA,11/24/1999 20:35 +Atlanta,,CIRCLE,GA,11/24/1999 21:00 +Rocky Mount,YELLOW,CIGAR,NC,11/24/1999 21:00 +Spokane,,CIRCLE,WA,11/25/1999 15:00 +Angleton,,LIGHT,TX,11/25/1999 18:00 +Wappingers Falls,,LIGHT,NY,11/25/1999 21:00 +Monrovia,RED,OTHER,CA,11/26/1999 2:00 +Redondo Beach,,FORMATION,CA,11/26/1999 17:50 +Redondo Beach,BLUE,FORMATION,CA,11/26/1999 17:50 +Flagstaff,ORANGE,LIGHT,AZ,11/26/1999 21:30 +Weldon,,CROSS,CA,11/27/1999 4:30 +Seward,ORANGE,CIRCLE,AK,11/27/1999 11:00 +Urbana,,VARIOUS,IL,11/27/1999 16:00 +Colleyville,RED GREEN,LIGHT,TX,11/27/1999 19:15 +Dover,,DISK,AR,11/27/1999 19:30 +San Diego,,LIGHT,CA,11/27/1999 20:00 +Bardstown,,FIREBALL,KY,11/27/1999 20:15 +Watkinsville,,VARIOUS,GA,11/27/1999 21:00 +Liberty,,CIRCLE,NY,11/27/1999 21:23 +Purchase,,CIRCLE,NY,11/27/1999 21:30 +Dallas,,TRIANGLE,PA,11/27/1999 23:30 +Dubois,,FIREBALL,PA,11/28/1999 0:00 +North Miami,RED GREEN,OTHER,FL,11/28/1999 0:20 +Romeo,,CIGAR,MI,11/28/1999 8:00 +Rachel,,SPHERE,NV,11/28/1999 20:00 +Greensburg,YELLOW GREEN,FIREBALL,IN,11/28/1999 20:30 +Pittsburgh,,FIREBALL,PA,11/28/1999 20:45 +Birch Run,,SPHERE,MI,11/28/1999 20:53 +San Antonio,,,TX,11/28/1999 21:30 +Green Valley,,LIGHT,CA,11/29/1999 17:00 +San Diego,GREEN,SPHERE,CA,11/29/1999 20:30 +Phoenix,,FIREBALL,AZ,11/29/1999 21:15 +Cerritos,,DISK,CA,11/29/1999 22:15 +Fulton,,CIRCLE,MO,11/29/1999 22:40 +Lancaster,,TRIANGLE,CA,11/30/1999 0:00 +New Holland,RED GREEN,DISK,OH,11/30/1999 0:30 +Jackson,GREEN,FIREBALL,MI,11/30/1999 1:45 +Iowa City,,SPHERE,IA,11/30/1999 5:40 +Deerfield Beach,,CIRCLE,FL,11/30/1999 7:00 +Cucamonga,,,CA,11/30/1999 15:39 +Bloomington,,LIGHT,IL,11/30/1999 18:00 +Ft. Scott,,CIRCLE,KS,11/30/1999 18:45 +Palm Springs,,OVAL,CA,11/30/1999 18:45 +Ephrata,,,WA,11/30/1999 19:00 +Blue Springs,,FIREBALL,MO,11/30/1999 20:45 +Cumming,,CIRCLE,GA,11/30/1999 22:00 +Pasadena,,FLASH,TX,12/1/1999 4:50 +Ceder Lake,RED,LIGHT,IN,12/1/1999 6:00 +Chanute,,VARIOUS,KS,12/1/1999 16:00 +Grandview,,FORMATION,WA,12/1/1999 20:00 +Columbia,,TRIANGLE,MO,12/1/1999 21:45 +Columbia,,TRIANGLE,MO,12/1/1999 21:55 +Madison,,FORMATION,WI,12/1/1999 22:00 +Kennesaw,,LIGHT,GA,12/1/1999 23:00 +Reidsville,,DISK,NC,12/1/1999 23:00 +San Bernadino,,,CA,12/1/1999 23:00 +Fairborn,,,OH,12/2/1999 2:00 +Seattle,,LIGHT,WA,12/2/1999 17:10 +McLean,RED BLUE,,VA,12/2/1999 19:30 +Kent,,CIRCLE,WA,12/2/1999 21:00 +Warm Springs,,SPHERE,NV,12/3/1999 0:08 +Rochester,,,NY,12/3/1999 2:15 +Saddle Mountains,,,WA,12/3/1999 16:00 +Santa Clarita,,CIRCLE,CA,12/3/1999 16:50 +Lodi,,FIREBALL,CA,12/3/1999 19:30 +Colorado,,,CO,12/3/1999 21:00 +Corralitos,,DISK,CA,12/3/1999 22:00 +Union City,,FIREBALL,GA,12/4/1999 0:40 +Deming,,VARIOUS,NM,12/4/1999 2:00 +New York City,,LIGHT,NY,12/4/1999 11:00 +Fort Meade,,LIGHT,MD,12/4/1999 21:00 +Coolidge,RED,TRIANGLE,AZ,12/5/1999 0:05 +Manchester,BLUE,LIGHT,TN,12/5/1999 4:00 +Birmingham,,SPHERE,AL,12/5/1999 4:20 +Colombiana,,RECTANGLE,AL,12/5/1999 4:20 +Weogufka,,FIREBALL,AL,12/5/1999 4:20 +Sterrett,,DISK,AL,12/5/1999 4:25 +Toney,,FIREBALL,AL,12/5/1999 4:30 +Dalton,YELLOW,CIRCLE,GA,12/5/1999 5:05 +Knoxville,,FIREBALL,TN,12/5/1999 5:15 +Cassville,,CONE,GA,12/5/1999 5:45 +Guyton,,CIRCLE,GA,12/5/1999 17:50 +Burna,,,KY,12/5/1999 18:30 +Cleveland,ORANGE,CIRCLE,NC,12/5/1999 20:30 +Dallas,,LIGHT,TX,12/5/1999 21:00 +Alliance,,OTHER,OH,12/5/1999 22:00 +Lutz,,LIGHT,FL,12/5/1999 22:14 +San Diego,,FIREBALL,CA,12/5/1999 23:00 +Marshall,,FIREBALL,MO,12/6/1999 11:00 +Costa Mesa,,,CA,12/6/1999 11:30 +San Diego,,,CA,12/6/1999 16:45 +Indian Springs AFB,,LIGHT,NV,12/7/1999 3:30 +Dawsonville,,TRIANGLE,GA,12/7/1999 18:30 +Gramercy,,TRIANGLE,LA,12/7/1999 18:45 +Naples,,LIGHT,ME,12/7/1999 19:30 +Tomah,GREEN,CHEVRON,WI,12/7/1999 20:00 +Emory,,SPHERE,TX,12/7/1999 20:05 +Columbus,,LIGHT,OH,12/7/1999 21:00 +Seattle,BLUE,LIGHT,WA,12/8/1999 17:40 +Greenville,,TRIANGLE,NH,12/8/1999 18:15 +Millersburg,,CHEVRON,MO,12/8/1999 19:30 +Columbia,,TRIANGLE,MO,12/8/1999 21:30 +Reno,,DISK,NV,12/9/1999 11:00 +Fort Lewis,,SPHERE,WA,12/9/1999 17:30 +Purdy,GREEN,FIREBALL,WA,12/9/1999 18:00 +Lyle,ORANGE,FIREBALL,WA,12/9/1999 18:15 +Scottsdale,,VARIOUS,AZ,12/9/1999 21:50 +Rupert,,LIGHT,ID,12/9/1999 22:00 +Big Spring,,LIGHT,TX,12/9/1999 22:30 +OSU Experiment station,,EGG,OR,12/10/1999 15:32 +Sherman Oaks,,OTHER,CA,12/10/1999 16:45 +Grand Rapids,,OTHER,MI,12/10/1999 21:30 +Woodinville,,LIGHT,WA,12/10/1999 22:00 +Columbia,,TRIANGLE,MO,12/10/1999 22:15 +Woodbridge,,TEARDROP,NJ,12/10/1999 22:29 +Smithton,,FIREBALL,IL,12/11/1999 3:00 +Rocky Mount,,FIREBALL,NC,12/11/1999 18:00 +Stilwell,,FORMATION,OK,12/11/1999 18:00 +Lamar,,DISK,CO,12/11/1999 21:00 +La Plata,,,MD,12/12/1999 3:30 +Sunnyside,,OTHER,WA,12/12/1999 6:30 +Orlando,,DIAMOND,FL,12/12/1999 20:15 +Longmont,,TRIANGLE,CO,12/12/1999 21:30 +Savannah,,,GA,12/13/1999 5:30 +Michigan,ORANGE,LIGHT,MI,12/13/1999 15:40 +Puyallup,,TRIANGLE,WA,12/13/1999 21:00 +Las Animas,,FIREBALL,CO,12/13/1999 23:40 +Pocasset,,OTHER,OK,12/14/1999 1:47 +Seagrove Beach,,LIGHT,FL,12/14/1999 5:04 +Santa Cruz,,LIGHT,CA,12/14/1999 7:45 +Roanoke,,TEARDROP,VA,12/14/1999 16:52 +Atlanta,,FIREBALL,GA,12/14/1999 21:30 +North Syracuse,,LIGHT,NY,12/15/1999 0:00 +Wilkinson County,,SPHERE,GA,12/15/1999 0:00 +Athens,,TRIANGLE,OH,12/15/1999 17:30 +Woodville,,DIAMOND,NC,12/15/1999 17:45 +Katy,BLUE,FIREBALL,TX,12/15/1999 19:00 +Mountain Grove,ORANGE,LIGHT,MO,12/15/1999 19:30 +Omaha,,CIRCLE,NE,12/15/1999 20:00 +Gibsonville,,SPHERE,NC,12/16/1999 7:15 +Pico Rivera,,CYLINDER,CA,12/16/1999 9:50 +Greensboro,,CYLINDER,NC,12/16/1999 10:30 +Sun Prairie,,LIGHT,WI,12/16/1999 19:45 +Rock Hill,,LIGHT,NY,12/16/1999 20:00 +Plainview,,TRIANGLE,NY,12/16/1999 21:30 +Charlotte,,TRIANGLE,NC,12/17/1999 3:00 +Marietta,,LIGHT,GA,12/17/1999 5:45 +Ashgrove,,OTHER,MO,12/17/1999 22:15 +Windser,ORANGE,VARIOUS,CA,12/17/1999 23:15 +Groveland,,TRIANGLE,IL,12/18/1999 22:30 +Houston,,DISK,TX,12/19/1999 1:15 +Santa Fe,,CIRCLE,NM,12/19/1999 2:30 +Spring Hill,ORANGE,VARIOUS,TN,12/19/1999 3:00 +Kent,,OVAL,WA,12/19/1999 18:30 +Branford,,LIGHT,CT,12/20/1999 1:00 +Browns Valley,GREEN,DISK,CA,12/20/1999 4:00 +Canton,,CIRCLE,MA,12/20/1999 18:54 +Murrieta,RED,LIGHT,CA,12/20/1999 20:00 +Woodbridge,,FORMATION,CT,12/20/1999 22:00 +Trenton,GREEN,LIGHT,IL,12/20/1999 23:30 +Point Arena,,,CA,12/21/1999 3:00 +Toledo,,OVAL,WA,12/21/1999 6:45 +Seatac,,SPHERE,WA,12/21/1999 13:30 +Portland,,LIGHT,OR,12/21/1999 17:00 +Lakewood,,DISK,CO,12/21/1999 20:00 +Onodaga twp.,,DIAMOND,MI,12/21/1999 22:20 +Jacksonville,,DISK,FL,12/22/1999 2:00 +Clinton,,LIGHT,IN,12/22/1999 6:30 +Merrimac,RED,DIAMOND,WI,12/22/1999 7:00 +Salt Lake City,,FORMATION,UT,12/22/1999 7:30 +Hot Springs,,FLASH,AR,12/22/1999 10:05 +New York City,,,NY,12/22/1999 19:00 +Lackawaxen,,TRIANGLE,PA,12/22/1999 19:14 +White Sands,,LIGHT,NM,12/22/1999 19:15 +Baton Rouge,,OTHER,LA,12/22/1999 22:30 +Moses Lake,,OTHER,WA,12/23/1999 17:00 +Norman,YELLOW,SPHERE,OK,12/23/1999 17:20 +Savannah,BLUE,EGG,GA,12/23/1999 19:20 +Fulton,,TRIANGLE,AR,12/23/1999 20:30 +Howard,,LIGHT,CO,12/23/1999 22:15 +Atlantic City area,,LIGHT,NJ,12/24/1999 4:00 +Augusta,,OVAL,MT,12/24/1999 7:45 +Miami,RED,CIRCLE,FL,12/24/1999 21:00 +Youngstown,,TRIANGLE,OH,12/24/1999 23:24 +Milton,,TRIANGLE,TN,12/24/1999 23:55 +Columbia,,TRIANGLE,MO,12/25/1999 3:30 +Nashville,,LIGHT,TN,12/25/1999 4:00 +Mansfield,,OTHER,OH,12/25/1999 9:30 +Wellington,,OVAL,OH,12/25/1999 11:40 +Lake Elsinore,ORANGE,TRIANGLE,CA,12/25/1999 19:30 +Pleasanton,,CIGAR,TX,12/25/1999 19:30 +Poughkeepsie,,CHEVRON,NY,12/25/1999 19:30 +Spring Hill,,TRIANGLE,KS,12/25/1999 22:30 +Mt Vernon,,CHEVRON,MO,12/25/1999 23:00 +Gold Canyon,,LIGHT,AZ,12/26/1999 0:00 +Deer Lake,,LIGHT,PA,12/26/1999 1:17 +Huntington,,,WV,12/26/1999 6:45 +Sparks,ORANGE,TRIANGLE,NV,12/26/1999 17:00 +Vancouver,,,WA,12/26/1999 18:12 +Springfield,,LIGHT,MO,12/26/1999 19:00 +Dallas,ORANGE,FIREBALL,AR,12/26/1999 19:30 +Larose,,,LA,12/26/1999 19:55 +Boca Raton,,LIGHT,FL,12/26/1999 20:00 +New Orleans,,LIGHT,LA,12/26/1999 20:00 +Jamaica Estates,BLUE,LIGHT,NY,12/26/1999 20:25 +Jamaica Estates,BLUE,LIGHT,NY,12/26/1999 20:25 +Spring Creek,,,NV,12/26/1999 21:00 +Portland,,,OR,12/26/1999 22:30 +Temple City,ORANGE,SPHERE,CA,12/26/1999 22:30 +Ponchatoula,,DIAMOND,LA,12/26/1999 23:00 +San Diego,,TRIANGLE,CA,12/26/1999 23:30 +South Berwick,RED,LIGHT,ME,12/27/1999 0:00 +Hialeah,,OTHER,FL,12/27/1999 5:35 +Reno,,SPHERE,NV,12/27/1999 19:30 +Salem,,DIAMOND,OR,12/27/1999 21:30 +Dallas,,,TX,12/28/1999 2:00 +Lake Shasta,,LIGHT,CA,12/28/1999 2:00 +Sterling,,DISK,IL,12/28/1999 5:00 +Brigham City,,FIREBALL,UT,12/28/1999 5:13 +Saint Charles Township,,TRIANGLE,IL,12/28/1999 20:00 +Elisabeth,,LIGHT,CO,12/28/1999 22:00 +SC,RED ORANGE,FIREBALL,SC,12/28/1999 22:00 +Lakeland,ORANGE,FIREBALL,FL,12/28/1999 23:05 +Stockbridge,,,GA,12/29/1999 4:15 +D'Hanis,,,TX,12/29/1999 5:00 +Denver,,CHEVRON,CO,12/29/1999 17:50 +Denver,,,CO,12/29/1999 18:00 +Huntington,,LIGHT,WV,12/29/1999 19:20 +McMinnville,,,TN,12/30/1999 0:09 +Gansevoort,YELLOW GREEN,SPHERE,NY,12/30/1999 19:30 +Newman Lake,,OTHER,WA,12/31/1999 0:23 +Las Vegas,,CIRCLE,NV,12/31/1999 17:30 +Florissant,ORANGE,,MO,12/31/1999 19:30 +Dover,,CIRCLE,FL,12/31/1999 20:30 +Rockford,RED,SPHERE,IL,12/31/1999 22:00 +Loves Park,,CIRCLE,IL,12/31/1999 23:20 +Rockford,ORANGE,LIGHT,IL,12/31/1999 23:30 +Santee,,FORMATION,CA,12/31/1999 23:42 +Keys,,OTHER,CA,12/31/1999 23:47 +Keys,,VARIOUS,CA,12/31/1999 23:48 +Bellflower,,FIREBALL,CA,12/31/1999 23:59 +Bakersfield,,,CA,1/1/2000 0:01 +New York City,,SPHERE,NY,1/1/2000 0:01 +Los Angeles,,,CA,1/1/2000 0:03 +San Diego,GREEN,LIGHT,CA,1/1/2000 0:23 +Laporte,,OTHER,TX,1/1/2000 2:13 +Bellefontaine,RED,LIGHT,OH,1/1/2000 3:00 +Nellis AFB,,LIGHT,NV,1/1/2000 3:30 +Clovis,,LIGHT,CA,1/1/2000 5:00 +Gurnee,,LIGHT,IL,1/1/2000 14:45 +San Francisco,,LIGHT,CA,1/1/2000 16:20 +Medford,,FORMATION,OR,1/1/2000 17:00 +Houston,,FLASH,TX,1/1/2000 20:30 +Patoka,,TRIANGLE,IL,1/1/2000 21:00 +Houston,GREEN,SPHERE,TX,1/1/2000 21:35 +Evansville,,CIGAR,IN,1/1/2000 22:00 +Erath,,EGG,LA,1/1/2000 23:00 +Coral Springs,,,FL,1/1/2000 23:30 +Jacksonville,,RECTANGLE,FL,1/2/2000 0:00 +Mesa,,OVAL,AZ,1/2/2000 0:30 +Chandler,,DIAMOND,AZ,1/2/2000 18:30 +Murrieta,,FIREBALL,CA,1/2/2000 19:33 +Kennewick,,LIGHT,WA,1/2/2000 19:34 +Oroville,,LIGHT,CA,1/2/2000 20:00 +Studio City,BLUE,RECTANGLE,CA,1/2/2000 21:00 +Anaheim Hills,GREEN,LIGHT,CA,1/2/2000 21:30 +Redlands,GREEN,FIREBALL,CA,1/2/2000 21:30 +Temecula,GREEN,FIREBALL,CA,1/2/2000 21:30 +Glendale,,FIREBALL,CA,1/2/2000 21:33 +Big Bear Lake,BLUE,OTHER,CA,1/2/2000 21:35 +La Quinta,,FORMATION,CA,1/2/2000 21:35 +Sanger,BLUE,OTHER,CA,1/2/2000 21:35 +Claremont,,,CA,1/2/2000 21:36 +Vista,,DISK,CA,1/2/2000 21:37 +Jurupa,BLUE,LIGHT,CA,1/2/2000 21:40 +San Fernando Valley,,TRIANGLE,CA,1/2/2000 21:40 +Sierra Madre,GREEN,FIREBALL,CA,1/2/2000 21:50 +Tustin,BLUE,LIGHT,CA,1/2/2000 22:00 +South Pasadena,,CHEVRON,CA,1/2/2000 22:40 +no data,,TRIANGLE,NV,1/2/2000 23:00 +El Centro,,OTHER,CA,1/3/2000 7:30 +Union City,,CIGAR,TN,1/3/2000 15:18 +West Manchester,,LIGHT,OH,1/3/2000 21:30 +Reno,,LIGHT,NV,1/3/2000 22:43 +Union,,TRIANGLE,MO,1/4/2000 3:15 +Duryea,RED GREEN BLUE,OVAL,PA,1/4/2000 19:00 +Scottsdale,,LIGHT,AZ,1/4/2000 20:30 +Coleman,,FIREBALL,TX,1/4/2000 21:30 +Dupo,,TRIANGLE,IL,1/4/2000 23:35 +Spokane,,,WA,1/5/2000 0:00 +Florissant,,RECTANGLE,MO,1/5/2000 2:00 +Florissant,,RECTANGLE,MO,1/5/2000 2:00 +Caseyville,RED ORANGE,OTHER,IL,1/5/2000 4:00 +"Summerfield,",,VARIOUS,IL,1/5/2000 4:15 +Edwardsville,,TRIANGLE,IL,1/5/2000 4:25 +St. Louis,,,MO,1/5/2000 4:30 +Milton,,TRIANGLE,MA,1/5/2000 5:00 +Exton,BLUE,CYLINDER,PA,1/5/2000 9:50 +Hawkinsville,,TRIANGLE,GA,1/5/2000 19:55 +Galesburg,,TRIANGLE,IL,1/5/2000 20:00 +Ramona,,LIGHT,CA,1/5/2000 21:00 +Lakemoor,,TRIANGLE,IL,1/5/2000 22:45 +"Rock Spings, 2miles west of",,,WY,1/6/2000 5:45 +York,,CIGAR,PA,1/6/2000 10:25 +San Francisco,,CHEVRON,CA,1/6/2000 15:00 +Riley County,,TEARDROP,KS,1/6/2000 16:00 +Austell,BLUE,FIREBALL,GA,1/6/2000 22:00 +Edgewood,,SPHERE,WA,1/7/2000 0:10 +Rock Island,,CIRCLE,IL,1/7/2000 5:15 +Las Vegas,,,NV,1/7/2000 16:20 +Citrus Heights,,,CA,1/7/2000 19:00 +Three Rivers,GREEN,FIREBALL,MI,1/7/2000 21:35 +Westwood,,FORMATION,CA,1/7/2000 21:40 +Citrus Heights,,LIGHT,CA,1/7/2000 22:45 +Montgomery,,TRIANGLE,AL,1/7/2000 23:00 +Knoxville,,CIGAR,TN,1/8/2000 7:30 +Maitland,ORANGE YELLOW,FORMATION,FL,1/8/2000 16:45 +Kent,,VARIOUS,CT,1/8/2000 17:00 +Maitland,RED,LIGHT,FL,1/8/2000 17:00 +Las Vegas Blvd.,,LIGHT,NV,1/9/2000 0:20 +Los Angeles,ORANGE,SPHERE,CA,1/9/2000 17:30 +Guyton,,CIRCLE,GA,1/9/2000 19:07 +Grand Junction,BLUE,FIREBALL,CO,1/9/2000 21:50 +Amarillo,,LIGHT,TX,1/9/2000 23:00 +Sanford,,LIGHT,ME,1/9/2000 23:25 +Brentwood,,DISK,TN,1/10/2000 9:15 +Mannford,,OVAL,OK,1/10/2000 19:15 +Sevierville,,OVAL,TN,1/10/2000 20:30 +Conroe,,LIGHT,TX,1/10/2000 21:00 +San Diego,,LIGHT,CA,1/10/2000 21:30 +Erie,,,PA,1/10/2000 22:00 +Westchester,,TRIANGLE,IL,1/11/2000 2:00 +Brownell,RED BLUE,,KS,1/11/2000 11:15 +Boise,,,ID,1/11/2000 21:00 +Atlanta,BLUE,SPHERE,GA,1/11/2000 22:00 +Denver,RED ORANGE GREEN,FIREBALL,CO,1/11/2000 22:10 +San Diego,,OVAL,CA,1/11/2000 22:40 +Northbrook,,DISK,IL,1/12/2000 0:22 +Los Angeles,YELLOW BLUE,DISK,CA,1/12/2000 1:31 +Snohomish,,TRIANGLE,WA,1/12/2000 18:20 +Galesburg,ORANGE,FIREBALL,IL,1/13/2000 0:00 +Jacksonville,,,FL,1/13/2000 3:00 +Pine Mountain,,LIGHT,AR,1/13/2000 6:30 +Phoenix,,CIRCLE,AZ,1/13/2000 15:45 +Louisville,BLUE,FIREBALL,KY,1/13/2000 22:30 +Mt. Vernon,RED,DISK,WA,1/14/2000 6:30 +Houston,,DISK,TX,1/14/2000 12:25 +Charlesbourg,,RECTANGLE,CA,1/14/2000 17:45 +Louisville,,LIGHT,KY,1/14/2000 20:05 +Monroe,,,CT,1/15/2000 2:45 +Longview,RED,CIGAR,TX,1/15/2000 18:00 +St. Louis,,,MO,1/15/2000 18:00 +Keystone Heights,,CIRCLE,FL,1/15/2000 19:00 +Skowhegan,RED,OVAL,ME,1/15/2000 19:10 +Houston,,TRIANGLE,TX,1/15/2000 20:00 +Lake Charles,,LIGHT,LA,1/15/2000 20:00 +Channelview,,,TX,1/15/2000 22:00 +Milton,,LIGHT,WV,1/15/2000 22:00 +West Fargo,RED,SPHERE,ND,1/15/2000 22:30 +Kalamazoo,,CIRCLE,MI,1/15/2000 23:00 +Houghton Lake,,FLASH,MI,1/15/2000 23:45 +Christiana,,RECTANGLE,TN,1/16/2000 1:30 +Tifton,,DISK,GA,1/16/2000 13:10 +Becker,,TRIANGLE,MN,1/16/2000 18:00 +Davis,,CIRCLE,CA,1/16/2000 19:00 +Hagerstown,,LIGHT,MD,1/16/2000 20:50 +Lyons,,LIGHT,GA,1/16/2000 21:00 +Columbia,,,KY,1/17/2000 0:00 +Columbia,,,KY,1/17/2000 4:30 +Philadelphia,,RECTANGLE,PA,1/17/2000 18:05 +Oroville,ORANGE YELLOW,CONE,CA,1/17/2000 18:20 +Three Forks,,CYLINDER,MT,1/17/2000 20:30 +Orland,GREEN,TRIANGLE,CA,1/17/2000 21:40 +Pittsburgh,,LIGHT,PA,1/17/2000 22:10 +Buttonwillow,,CYLINDER,CA,1/18/2000 1:00 +Blackwell,,LIGHT,TX,1/18/2000 1:15 +Juneau,,,AK,1/18/2000 7:45 +Crescent City,BLUE,FIREBALL,CA,1/18/2000 18:15 +Dayton township,,OVAL,NV,1/18/2000 18:15 +Sixes,,LIGHT,OR,1/18/2000 18:20 +Los Gatos,BLUE,OTHER,CA,1/18/2000 18:25 +Ely,,SPHERE,NV,1/18/2000 18:30 +Pleasanton,,LIGHT,CA,1/18/2000 18:30 +Van Nuys,,LIGHT,CA,1/18/2000 18:30 +Los Angeles,,,CA,1/18/2000 18:39 +Wilsonville,,,OR,1/18/2000 19:45 +Lake Worth,,EGG,FL,1/19/2000 3:19 +Alvin,BLUE,,TX,1/19/2000 18:10 +Cairo,,CIRCLE,WV,1/20/2000 10:39 +Salt Lake City,,DISK,UT,1/20/2000 13:30 +Bryant,,CIRCLE,WI,1/20/2000 17:07 +Columbus,,FIREBALL,OH,1/20/2000 18:00 +Wilmington,,LIGHT,CA,1/20/2000 18:00 +Bradenton,,FIREBALL,FL,1/20/2000 21:30 +Bradenton,,FIREBALL,FL,1/20/2000 21:35 +Columbus,,TRIANGLE,NE,1/20/2000 22:00 +Houston,,TRIANGLE,TX,1/20/2000 22:10 +Houston,,DIAMOND,TX,1/20/2000 22:14 +Memphis,,OTHER,TN,1/20/2000 22:22 +Hialeah,,OTHER,FL,1/20/2000 22:30 +Belcamp,,TRIANGLE,MD,1/20/2000 23:10 +Pembroke Pines,,LIGHT,FL,1/20/2000 23:15 +,,RECTANGLE,NV,1/21/2000 11:30 +Whitefish,,FIREBALL,MT,1/21/2000 17:15 +Highland Park,,,IL,1/21/2000 18:30 +Tacna,,TRIANGLE,AZ,1/22/2000 11:30 +Sacramento area,ORANGE,TRIANGLE,CA,1/22/2000 19:00 +San Diego,,VARIOUS,CA,1/22/2000 23:00 +Petaluma,,DISK,CA,1/23/2000 11:05 +Rio Rancho,,SPHERE,NM,1/23/2000 15:00 +Covina,,OVAL,CA,1/23/2000 18:30 +Fontana,,DISK,CA,1/23/2000 18:50 +Mammoth Lakes,,DISK,CA,1/24/2000 13:00 +Edinburg,,LIGHT,TX,1/25/2000 19:55 +Gold Bar,,CIGAR,WA,1/25/2000 21:30 +Ottumwa,,DISK,IA,1/26/2000 6:45 +Westminster,RED,LIGHT,CA,1/26/2000 19:10 +Seattle,,FIREBALL,WA,1/26/2000 19:37 +Parrish,,TRIANGLE,FL,1/26/2000 21:00 +Omaha,,TEARDROP,NE,1/26/2000 21:11 +Sante Fe,YELLOW,OTHER,NM,1/26/2000 21:45 +San Gabriel Valley,,TRIANGLE,CA,1/27/2000 12:00 +Covina,,LIGHT,CA,1/27/2000 18:30 +Leavenworth,ORANGE,FIREBALL,WA,1/27/2000 19:40 +Monticello,,LIGHT,IN,1/27/2000 20:00 +Tucson,,CYLINDER,AZ,1/27/2000 22:00 +Damascus,GREEN,FIREBALL,OR,1/28/2000 0:00 +Beaverton,,CYLINDER,OR,1/28/2000 7:30 +East Rutherford,,TRIANGLE,NJ,1/28/2000 17:30 +Rohnert Park,,LIGHT,CA,1/28/2000 19:15 +Prescott Valley,YELLOW,CIRCLE,AZ,1/28/2000 20:40 +Laguna Niguel,,SPHERE,CA,1/28/2000 20:58 +Northbend,RED,CROSS,WA,1/29/2000 7:30 +Seatac,,FIREBALL,WA,1/29/2000 10:00 +Beaverton,,CYLINDER,OR,1/29/2000 13:00 +New Wilmington,,CIRCLE,PA,1/30/2000 10:30 +San Francisco,,TRIANGLE,CA,1/30/2000 23:15 +Cape Canaveral,GREEN,LIGHT,FL,1/31/2000 21:00 +Escondido,,CIRCLE,CA,1/31/2000 22:21 +Flagstaff,BLUE,,AZ,2/1/2000 1:00 +Lynn,,TRIANGLE,AL,2/1/2000 2:30 +Cottage Grove,,TRIANGLE,OR,2/1/2000 9:00 +Houston,,CHEVRON,TX,2/1/2000 10:00 +New York City,,OTHER,NY,2/1/2000 20:30 +Babbitt,,OTHER,MN,2/1/2000 23:00 +Flagstaff,,,AZ,2/1/2000 23:30 +Silverlake,,DIAMOND,WA,2/2/2000 0:00 +,,LIGHT,NV,2/2/2000 3:00 +Long Island,RED GREEN,TRIANGLE,NY,2/2/2000 10:00 +Denver,,OTHER,CO,2/2/2000 16:00 +Glenwood Landing,,VARIOUS,NY,2/2/2000 17:00 +Mattawa,ORANGE,OTHER,WA,2/2/2000 18:00 +Seattle,,,WA,2/2/2000 19:00 +Bouse,,,AZ,2/2/2000 19:33 +Seattle,,OTHER,WA,2/2/2000 19:49 +Seattle,,OTHER,WA,2/2/2000 19:49 +Kent,,CIGAR,WA,2/2/2000 20:00 +Rock Hill,,LIGHT,SC,2/2/2000 20:00 +Seattle,,CHEVRON,WA,2/2/2000 20:00 +Bagdad,YELLOW,OTHER,AZ,2/2/2000 21:30 +Castle Rock,RED GREEN,LIGHT,WA,2/3/2000 7:00 +Summerville,,TEARDROP,SC,2/3/2000 18:32 +Dillon,,TRIANGLE,SC,2/3/2000 19:10 +Crystal River,,LIGHT,FL,2/3/2000 19:45 +Temple City,,,CA,2/3/2000 20:00 +Sealy,,LIGHT,TX,2/3/2000 21:50 +Youngsville,,LIGHT,NC,2/4/2000 5:55 +Olympia,,LIGHT,WA,2/4/2000 19:30 +Houston,,TRIANGLE,TX,2/4/2000 19:40 +Prescott,YELLOW,CIRCLE,AZ,2/4/2000 20:30 +Prescott Valley,,CIRCLE,AZ,2/4/2000 21:30 +Prescott Valley,,FORMATION,AZ,2/4/2000 21:30 +Osceola,BLUE,OTHER,IN,2/4/2000 22:40 +Euless,GREEN,FIREBALL,TX,2/4/2000 23:59 +Tampa,,FORMATION,FL,2/5/2000 13:00 +Pollock Pines,,LIGHT,CA,2/5/2000 19:30 +St. Albans,,VARIOUS,WV,2/6/2000 6:30 +Las Vegas,,OTHER,NV,2/6/2000 19:30 +La Crosse,,,WI,2/6/2000 22:30 +Alton,,TRIANGLE,IL,2/7/2000 5:30 +Bullhead City,,OTHER,AZ,2/7/2000 13:00 +Sebring,YELLOW,LIGHT,FL,2/7/2000 19:35 +Pima,,FIREBALL,AZ,2/7/2000 19:40 +Ionia,,TRIANGLE,MI,2/7/2000 21:00 +Prescott Valley,YELLOW,CIRCLE,AZ,2/8/2000 0:30 +Ventura,,LIGHT,CA,2/8/2000 4:00 +Canton,,TRIANGLE,MA,2/8/2000 5:15 +Harbor City,,CIRCLE,CA,2/8/2000 9:10 +Avon Park,,FIREBALL,FL,2/8/2000 17:15 +North Hollywood,,OVAL,CA,2/8/2000 17:40 +Glendale,,DISK,CA,2/8/2000 18:00 +Seattle,RED,FIREBALL,WA,2/8/2000 19:07 +San Antonio,,OTHER,TX,2/8/2000 19:30 +Tucson,,,AZ,2/8/2000 21:00 +Southbury,,CIRCLE,CT,2/8/2000 23:00 +Columbia,,,MO,2/9/2000 8:25 +Bristol,,TRIANGLE,VT,2/9/2000 18:15 +Harrington,,OTHER,WA,2/9/2000 18:50 +Deer Park,,LIGHT,NY,2/9/2000 19:10 +Tucson,,OTHER,AZ,2/9/2000 19:30 +Columbia,,,MO,2/9/2000 20:25 +Ranger,,LIGHT,TX,2/9/2000 20:30 +Toledo,GREEN,OVAL,WA,2/9/2000 20:45 +Northport,,VARIOUS,WA,2/9/2000 21:00 +Sea Tac Airport,,TRIANGLE,WA,2/9/2000 21:00 +Lake Elsinore,,SPHERE,CA,2/9/2000 21:03 +Seattle,,CIRCLE,WA,2/9/2000 22:00 +Prescott Valley,ORANGE,,AZ,2/9/2000 22:12 +Kirkland,GREEN,OTHER,WA,2/10/2000 4:20 +Alturas,ORANGE,FIREBALL,FL,2/10/2000 19:30 +Tucson,,,AZ,2/11/2000 19:20 +Rockford,,LIGHT,IL,2/11/2000 20:15 +Rockford,ORANGE,FORMATION,IL,2/11/2000 21:00 +Rockford,ORANGE,FIREBALL,IL,2/11/2000 21:15 +Houston,,OTHER,TX,2/11/2000 22:00 +Buffalo,,CIRCLE,NY,2/12/2000 17:00 +Dundee,,FIREBALL,FL,2/12/2000 20:00 +Fort Lauderdale,YELLOW GREEN,FIREBALL,FL,2/12/2000 20:45 +Rockford,ORANGE,SPHERE,IL,2/12/2000 22:00 +Salem,,CIRCLE,OR,2/13/2000 2:00 +Sandpoint,,LIGHT,ID,2/13/2000 18:42 +Yuma,,,CA,2/13/2000 18:55 +Clermont,RED,LIGHT,FL,2/13/2000 20:00 +Jackson,,DIAMOND,MI,2/14/2000 5:20 +Hermitage,,SPHERE,AR,2/14/2000 16:26 +New York City,,OVAL,NY,2/14/2000 21:48 +Mahony City,,LIGHT,PA,2/15/2000 1:30 +Flushing,,EGG,NY,2/15/2000 1:38 +Alton,,CIRCLE,VA,2/15/2000 2:00 +Rocky Mount,,,NC,2/15/2000 2:30 +Petrified Forest National Park,,OVAL,AZ,2/15/2000 4:00 +Petrified Forest National Park,,OVAL,AZ,2/15/2000 4:00 +Honolulu,,DISK,HI,2/15/2000 12:30 +Scottsdale,,FIREBALL,AZ,2/15/2000 16:30 +Barnum,,TEARDROP,MN,2/15/2000 19:11 +Little Rock,RED ORANGE,OTHER,AR,2/15/2000 20:00 +New Canaan,,,CT,2/15/2000 21:00 +Fredericktown,,EGG,OH,2/15/2000 21:20 +Hubbard,,RECTANGLE,OR,2/15/2000 23:00 +West Memphis,,LIGHT,AR,2/15/2000 23:00 +Black Canyon City,BLUE,CIRCLE,AZ,2/16/2000 4:45 +Stevinson,,OTHER,CA,2/16/2000 12:30 +Atlantic,,FORMATION,IA,2/16/2000 18:35 +Dawsonville,,TRIANGLE,GA,2/16/2000 20:30 +Riverside,,LIGHT,CA,2/16/2000 21:05 +Seattle,,LIGHT,WA,2/16/2000 21:05 +Rockford,ORANGE,CIRCLE,IL,2/16/2000 21:30 +Rockford,ORANGE,CIRCLE,IL,2/16/2000 21:30 +Rockford,RED,CIRCLE,IL,2/16/2000 21:30 +Rockford,,FIREBALL,IL,2/16/2000 21:30 +Rockford,ORANGE,FIREBALL,IL,2/16/2000 21:30 +Rockford,,LIGHT,IL,2/16/2000 21:30 +Rockford,,TRIANGLE,IL,2/16/2000 21:30 +Rockford,,TRIANGLE,IL,2/16/2000 21:30 +Rockford,,VARIOUS,IL,2/16/2000 21:30 +Dallardsville,,RECTANGLE,TX,2/16/2000 22:00 +Walkerton,RED,LIGHT,IN,2/16/2000 22:00 +Rockford,,SPHERE,IL,2/16/2000 22:15 +Ashgrove,ORANGE,LIGHT,MO,2/17/2000 0:00 +Auburn,,TRIANGLE,WA,2/17/2000 18:30 +Rockford,ORANGE,DISK,IL,2/17/2000 19:00 +Wisconsin Dells,,LIGHT,WI,2/17/2000 19:35 +Pine Hill,,CHEVRON,NJ,2/17/2000 21:30 +Pasadena,,LIGHT,CA,2/18/2000 19:00 +Prescott Valley,,FIREBALL,AZ,2/18/2000 20:00 +Jacksonville,,TRIANGLE,FL,2/18/2000 22:00 +Glendale,,LIGHT,AR,2/18/2000 22:50 +Columbus,,,OH,2/19/2000 0:00 +Superior,,RECTANGLE,CO,2/19/2000 13:30 +Miami,,LIGHT,FL,2/19/2000 14:18 +Wilmington,,TRIANGLE,OH,2/19/2000 18:24 +Seatac,,LIGHT,WA,2/19/2000 19:05 +Los Banos,,OTHER,CA,2/19/2000 21:15 +Dallardsville,,VARIOUS,TX,2/19/2000 22:30 +Tacoma,GREEN,VARIOUS,WA,2/19/2000 23:00 +Malo,,FIREBALL,WA,2/19/2000 23:45 +Molson,RED GREEN BLUE,FIREBALL,WA,2/19/2000 23:45 +Athens,,CYLINDER,OH,2/20/2000 13:04 +Orlando,,OVAL,FL,2/20/2000 18:00 +Gresham,RED,,WI,2/20/2000 21:45 +Cottage Grove,,FORMATION,OR,2/20/2000 22:30 +Lodi,,OTHER,CA,2/21/2000 18:00 +Corvallis,ORANGE GREEN,FIREBALL,OR,2/21/2000 19:43 +Klamath Falls,RED,FIREBALL,OR,2/21/2000 19:43 +Orland Park,,FIREBALL,IL,2/21/2000 20:00 +Tupelo,,CYLINDER,MS,2/21/2000 20:40 +Los Altos Hills,,DISK,CA,2/21/2000 21:45 +Prescott Valley,,CYLINDER,AZ,2/22/2000 6:00 +Prescott Valley,ORANGE,CYLINDER,AZ,2/22/2000 6:00 +Prescott Valley,ORANGE,CYLINDER,AZ,2/22/2000 6:00 +Ogden,BLUE,LIGHT,UT,2/22/2000 19:00 +Kenai,,CONE,AK,2/23/2000 8:18 +Ridgecrest,,CIGAR,CA,2/23/2000 17:00 +Wrightsville,,TRIANGLE,GA,2/23/2000 22:55 +Huntsville,GREEN,DISK,AL,2/24/2000 1:15 +O'Brien,YELLOW,LIGHT,FL,2/24/2000 20:30 +Tallahassee,ORANGE,TRIANGLE,FL,2/24/2000 20:30 +Hollywood,,LIGHT,CA,2/24/2000 23:00 +Vandalia,,LIGHT,OH,2/26/2000 2:00 +Tonawanda,,EGG,NY,2/26/2000 6:29 +New York City,RED,DISK,NY,2/26/2000 10:00 +Durham,,CIRCLE,NC,2/26/2000 17:18 +McClave,ORANGE,LIGHT,CO,2/26/2000 19:20 +Goshen,,LIGHT,IN,2/26/2000 23:30 +Chicago,RED ORANGE,TRIANGLE,IL,2/27/2000 19:30 +Bloomington,,CIGAR,IN,2/27/2000 21:15 +Portland,,,OR,2/27/2000 23:00 +Virginia Beach,,CHEVRON,VA,2/28/2000 5:15 +Lehigh Acres,,LIGHT,FL,2/28/2000 11:00 +Olancha,,SPHERE,CA,2/28/2000 14:00 +Walworth,ORANGE,CIRCLE,WI,2/28/2000 19:30 +Charlestown,,LIGHT,RI,2/28/2000 21:30 +Hawaii's Volcano National Park,,SPHERE,HI,2/29/2000 13:35 +Las Vegas,,SPHERE,NM,2/29/2000 20:45 +New Haven,,LIGHT,MI,2/29/2000 21:50 +Tumwater,,EGG,WA,2/29/2000 22:00 +Antioch,ORANGE,LIGHT,CA,2/29/2000 22:40 +Hawthorne,,,NV,3/1/2000 0:00 +Pineville,,TRIANGLE,WV,3/1/2000 0:30 +Coram,,LIGHT,NY,3/1/2000 4:45 +Tucson,,OTHER,AZ,3/1/2000 14:00 +Fountain Valley,,LIGHT,CA,3/1/2000 17:00 +Sterling,,RECTANGLE,CO,3/1/2000 19:00 +Venice,,FIREBALL,FL,3/1/2000 20:00 +Lake Pontchartrain,,TRIANGLE,LA,3/1/2000 21:00 +Springfield,,CHEVRON,OH,3/1/2000 21:00 +Houston,,DISK,TX,3/1/2000 23:00 +Oskaloosa,,CHEVRON,IA,3/1/2000 23:00 +Memphis,,FORMATION,TN,3/2/2000 1:15 +Alhambra Golf Course,,FORMATION,CA,3/2/2000 13:00 +Springfield,,,MO,3/2/2000 19:00 +Paterson,,LIGHT,NJ,3/2/2000 22:45 +Pearl River,,OVAL,NY,3/2/2000 23:42 +Grove City,RED,TRIANGLE,OH,3/3/2000 1:15 +Longwood,,LIGHT,FL,3/3/2000 4:00 +Boone,BLUE,OVAL,IA,3/3/2000 19:55 +Prescott Valley,,CIRCLE,AZ,3/3/2000 20:00 +Ogden,,LIGHT,UT,3/3/2000 22:20 +Kansas City,,SPHERE,MI,3/4/2000 18:40 +Miami,,SPHERE,FL,3/5/2000 3:40 +Rockford,,OTHER,IL,3/5/2000 20:27 +Quincy,,LIGHT,IL,3/5/2000 21:45 +Kenosha,,VARIOUS,WI,3/5/2000 23:33 +Salt Lake City,RED BLUE,OVAL,UT,3/6/2000 3:30 +Ocean Shores,,TRIANGLE,WA,3/6/2000 4:30 +Irvine,,SPHERE,CA,3/6/2000 16:30 +Silver Spring,,OTHER,MD,3/6/2000 19:55 +Roland,,DISK,OK,3/6/2000 22:00 +Hugo,BLUE,LIGHT,MN,3/6/2000 22:20 +Venice,,OVAL,FL,3/7/2000 7:00 +Harrisonville,,OTHER,MO,3/7/2000 19:00 +Gaithersburg,YELLOW,FORMATION,MD,3/7/2000 19:20 +Kansas City,,CIRCLE,MO,3/7/2000 19:45 +Corry,BLUE,,PA,3/7/2000 20:15 +Severna Park,,CIGAR,MD,3/7/2000 20:50 +Fresno,,FORMATION,CA,3/7/2000 22:00 +Gulf Breeze,,FIREBALL,FL,3/7/2000 22:00 +Magna,,DISK,UT,3/8/2000 5:37 +Silver Spring Twp.,,OVAL,PA,3/8/2000 13:00 +Fort Smith,,OVAL,AR,3/9/2000 17:05 +Fallbrook,,CIRCLE,CA,3/9/2000 18:30 +Portland,,LIGHT,ME,3/9/2000 18:35 +Memphis,,FIREBALL,AR,3/9/2000 19:00 +Powhatan,,FIREBALL,VA,3/9/2000 19:00 +Fort Myers,,LIGHT,FL,3/9/2000 19:15 +Vassalboro,,OTHER,ME,3/9/2000 19:45 +Buffalo,RED,FIREBALL,MO,3/9/2000 20:15 +Eureka Springs,,FIREBALL,AR,3/9/2000 20:25 +Conway,ORANGE GREEN,FIREBALL,AR,3/9/2000 20:30 +Houston,,TRIANGLE,TX,3/9/2000 20:30 +Timbo,,SPHERE,AR,3/9/2000 20:30 +Timbo,,SPHERE,AR,3/9/2000 20:30 +Fredericksburg,ORANGE GREEN,FIREBALL,VA,3/9/2000 20:45 +Olive Branch,ORANGE,FIREBALL,MS,3/9/2000 20:45 +Smyrna,,FIREBALL,TN,3/9/2000 20:45 +Little Rock,,LIGHT,AR,3/9/2000 21:00 +Sallisaw,,FIREBALL,OK,3/9/2000 21:00 +Elmira,,DISK,NY,3/9/2000 21:20 +Springfield,,,IL,3/9/2000 21:30 +Lonoke,,LIGHT,AR,3/9/2000 22:00 +Mountain Home,,FIREBALL,AR,3/9/2000 22:09 +Rockford,,LIGHT,IL,3/10/2000 0:00 +Atlanta,,DISK,GA,3/10/2000 3:00 +Ephrata,,OTHER,WA,3/10/2000 4:00 +Price,,LIGHT,UT,3/10/2000 18:00 +Freedom,,LIGHT,ME,3/10/2000 19:20 +Rockford,,DIAMOND,IL,3/10/2000 20:58 +Rockford,,LIGHT,IL,3/10/2000 21:15 +Duncansville,,TRIANGLE,PA,3/10/2000 21:43 +,GREEN,,FL,3/11/2000 3:30 +Mobile,,TRIANGLE,AL,3/11/2000 12:30 +Houston,,SPHERE,TX,3/11/2000 16:30 +Citrus Heights,,CIRCLE,CA,3/11/2000 19:00 +Fair Oaks,RED,LIGHT,CA,3/11/2000 19:04 +Orangevale,,FIREBALL,CA,3/11/2000 19:45 +Gold Bar,GREEN,SPHERE,WA,3/11/2000 21:00 +Santa Barbara,,TRIANGLE,CA,3/11/2000 21:00 +Dover,,TRIANGLE,AR,3/11/2000 21:20 +Las Vegas,,OVAL,NV,3/11/2000 21:30 +Gold Bar,,LIGHT,WA,3/11/2000 21:45 +Buckeye,,,AZ,3/11/2000 22:45 +Coral Springs,RED,OTHER,FL,3/12/2000 0:00 +Ocala,,TRIANGLE,FL,3/12/2000 0:19 +Simi Valley,,FIREBALL,CA,3/12/2000 1:19 +Sunland,ORANGE,LIGHT,CA,3/12/2000 1:30 +Encino,BLUE,SPHERE,CA,3/12/2000 1:45 +Seattle,,CIGAR,WA,3/12/2000 8:00 +Marquette,,OVAL,MI,3/12/2000 13:30 +Sedona,,OTHER,AZ,3/12/2000 15:00 +Falconer,,TRIANGLE,NY,3/12/2000 19:35 +Escondido,,LIGHT,CA,3/12/2000 20:37 +Arkansas,,CIRCLE,AR,3/12/2000 21:10 +Plymouth Borough,,CROSS,PA,3/12/2000 23:00 +Jacksonville,,LIGHT,FL,3/13/2000 0:30 +Seattle,,DIAMOND,WA,3/13/2000 11:51 +Torrance,,,CA,3/13/2000 13:00 +Healdsburg,,RECTANGLE,CA,3/13/2000 17:00 +San Jose,BLUE,LIGHT,CA,3/13/2000 20:00 +Charleston,,CIRCLE,SC,3/13/2000 21:00 +Clarinda,,LIGHT,IA,3/13/2000 21:40 +New York City,,,NY,3/14/2000 4:50 +Scotts Valley,,FORMATION,CA,3/14/2000 16:35 +Ionia,,DIAMOND,MI,3/14/2000 21:00 +Indianapolis,,CYLINDER,IN,3/14/2000 22:30 +Imperial Beach,,LIGHT,CA,3/15/2000 1:00 +Merritt Island,,SPHERE,FL,3/15/2000 3:00 +Winthrop,,VARIOUS,MA,3/15/2000 6:39 +Pine Bush,,OTHER,NY,3/15/2000 8:30 +Utica,,DISK,NY,3/15/2000 14:00 +Blue Springs,,VARIOUS,MO,3/15/2000 14:46 +Aguilar,,RECTANGLE,CO,3/15/2000 15:00 +Boulder,,DIAMOND,CO,3/15/2000 16:30 +Okeechobee,,RECTANGLE,GA,3/15/2000 17:00 +Yelm,BLUE,DISK,WA,3/15/2000 19:30 +Riverside,,LIGHT,CA,3/15/2000 20:45 +Bakersville,,LIGHT,NC,3/15/2000 21:15 +New Philadelphia,,LIGHT,OH,3/15/2000 22:00 +Portland,,OVAL,OR,3/15/2000 23:00 +Owaneco,,,IL,3/15/2000 23:27 +Moab,,DISK,UT,3/16/2000 3:30 +Houston,,SPHERE,TX,3/16/2000 9:00 +Omaha,,CIGAR,NE,3/16/2000 13:05 +Anza,,LIGHT,CA,3/16/2000 17:15 +Thousand Oaks,,TRIANGLE,CA,3/17/2000 0:26 +Vancouver,,,WA,3/17/2000 3:15 +San Antonio,,TRIANGLE,TX,3/17/2000 4:00 +Memphis,,DIAMOND,TN,3/17/2000 10:15 +Everett,,LIGHT,WA,3/18/2000 20:20 +Pembroke,RED,,MA,3/18/2000 22:00 +Palm Desert,,LIGHT,CA,3/18/2000 22:30 +Las Vegas,,OVAL,NV,3/18/2000 23:45 +Lacey,RED BLUE,CROSS,WA,3/19/2000 8:10 +Albuquerque,,OVAL,NM,3/19/2000 9:05 +Tucson,,LIGHT,AZ,3/19/2000 21:00 +San Francisco,,FIREBALL,CA,3/19/2000 21:30 +Reisterstown,,,MD,3/19/2000 22:30 +Pasadena,,TRIANGLE,CA,3/19/2000 23:35 +Calhoun,,OTHER,GA,3/20/2000 13:00 +Fort Meade,,FIREBALL,MD,3/20/2000 21:00 +Elko,,FIREBALL,NV,3/20/2000 22:00 +Mt. Pocono,,OTHER,PA,3/20/2000 22:45 +Dickson,,CYLINDER,TN,3/21/2000 14:45 +Mattawan,,TRIANGLE,MI,3/21/2000 19:30 +Duluth,,,MN,3/21/2000 21:00 +St. Cloud,,CIRCLE,FL,3/21/2000 21:00 +East Springfield,,LIGHT,PA,3/21/2000 22:05 +Bonnie Spring,,FIREBALL,NV,3/22/2000 11:00 +Lake Forest,ORANGE,LIGHT,CA,3/22/2000 20:05 +St Clair Shores,,TRIANGLE,MI,3/22/2000 20:30 +Tuscaloosa,,FORMATION,AL,3/22/2000 21:40 +Norridgewock,,RECTANGLE,ME,3/23/2000 2:15 +Sioux Falls,,DIAMOND,SD,3/23/2000 18:00 +Fullerton,,TEARDROP,CA,3/23/2000 19:15 +Providence,ORANGE,RECTANGLE,RI,3/23/2000 19:30 +Somerset,RED,OTHER,OH,3/23/2000 19:30 +Lake City,BLUE,TRIANGLE,TN,3/24/2000 0:30 +Syracuse,BLUE,LIGHT,NY,3/24/2000 3:15 +Beaverton,,DISK,OR,3/24/2000 13:35 +Ionia,,OVAL,MI,3/24/2000 18:00 +Southport,,FIREBALL,NC,3/24/2000 18:30 +Saginaw,,FIREBALL,MI,3/24/2000 19:45 +Woodbury,,,NY,3/24/2000 20:27 +Des Moines,,FIREBALL,IA,3/25/2000 0:45 +The Woodlands,,,TX,3/25/2000 18:00 +Huron,,FLASH,KS,3/25/2000 22:00 +Lompoc,,CIRCLE,CA,3/25/2000 22:00 +Pittsburgh,,TRIANGLE,PA,3/26/2000 22:45 +Bella Vista,,VARIOUS,CA,3/27/2000 1:10 +Ann Arbor,,LIGHT,MI,3/27/2000 18:00 +Santa Cruz,,CIGAR,CA,3/27/2000 20:00 +Mexico Beach,,CIRCLE,FL,3/27/2000 21:40 +Elk,RED GREEN BLUE,LIGHT,CA,3/27/2000 23:20 +Prescott Valley,RED,CIRCLE,AZ,3/28/2000 0:00 +Summer Lake,RED ORANGE,SPHERE,OR,3/28/2000 7:45 +Miami,,CIRCLE,FL,3/28/2000 15:00 +Centreville,,CIRCLE,VA,3/28/2000 15:45 +Bouse,,LIGHT,AZ,3/28/2000 21:00 +Fort. Deposit,,TRIANGLE,AL,3/28/2000 21:15 +Corinth,,OTHER,TX,3/28/2000 22:20 +Hammond,,LIGHT,LA,3/28/2000 22:40 +Belton,,VARIOUS,SC,3/29/2000 0:00 +Steamboat,,OVAL,NV,3/29/2000 0:00 +Aberdeen,,VARIOUS,OH,3/29/2000 3:00 +Treasure Island,,CIRCLE,FL,3/29/2000 14:30 +Reno,YELLOW BLUE,CIRCLE,NV,3/29/2000 20:00 +Atlanta,,LIGHT,GA,3/29/2000 20:20 +Munising,,TRIANGLE,MI,3/29/2000 22:30 +Hooker,ORANGE,CIRCLE,OK,3/30/2000 3:30 +Phoenix,,FLASH,AZ,3/30/2000 12:25 +Phoenix,,LIGHT,AZ,3/30/2000 18:50 +Gilbert,RED,CIRCLE,AZ,3/30/2000 18:52 +Newton,,LIGHT,MA,3/30/2000 22:00 +Angelica,,FIREBALL,NY,3/30/2000 23:30 +Charlestown,ORANGE,DISK,RI,3/31/2000 5:05 +West,,LIGHT,TX,3/31/2000 9:40 +West Nyack,,OTHER,NY,3/31/2000 14:00 +Westchester,,CIRCLE,CA,3/31/2000 14:00 +Bristol,,,CT,3/31/2000 21:45 +Philadelphia,,CIRCLE,PA,3/31/2000 23:30 +Lake Havasu City,RED,LIGHT,AZ,4/1/2000 5:20 +Evansville,,SPHERE,IN,4/1/2000 6:28 +Mission Viejo,,FORMATION,CA,4/1/2000 13:00 +Elizabethtown,,DISK,KY,4/1/2000 16:00 +Chicago,,SPHERE,IL,4/1/2000 17:50 +Del Mar,ORANGE,FORMATION,CA,4/1/2000 19:00 +Huntington Beach,RED,LIGHT,CA,4/1/2000 21:00 +Dallas,RED GREEN BLUE,,TX,4/1/2000 21:30 +Copemish,,CIRCLE,MI,4/1/2000 21:50 +Los Alamos,,,NM,4/1/2000 22:00 +Young City,,DISK,TX,4/1/2000 22:15 +Indianapolis,,TRIANGLE,IN,4/2/2000 3:00 +Fremont,,,IA,4/2/2000 14:00 +Fairbanks,,OVAL,AK,4/2/2000 18:00 +Fort Wayne,,OVAL,IN,4/4/2000 2:00 +Sedillo Hill,RED,LIGHT,NM,4/4/2000 5:20 +Clearwater,,OTHER,FL,4/4/2000 16:30 +Bouse,,LIGHT,AZ,4/4/2000 21:05 +Hazelwood,,CYLINDER,MO,4/5/2000 18:30 +Baton Rouge,,LIGHT,LA,4/5/2000 20:00 +Ocean City,RED BLUE,DISK,MD,4/5/2000 22:00 +Perris,,CIRCLE,CA,4/6/2000 14:00 +Seagoville,,CIRCLE,TX,4/6/2000 15:28 +Glendale,,CIRCLE,AZ,4/6/2000 16:00 +Chattanooga,,OTHER,TN,4/6/2000 20:00 +Highlands,GREEN,,NJ,4/6/2000 20:00 +Tehachapi,RED,LIGHT,CA,4/6/2000 20:00 +Tuckerton,,SPHERE,NJ,4/6/2000 20:34 +Arlington,ORANGE GREEN,LIGHT,TX,4/6/2000 20:35 +San Antonio,,LIGHT,TX,4/6/2000 21:08 +"Des Moines--4 blocks east of the Marina, Wash",,OVAL,WA,4/7/2000 5:26 +Streetsboro,,,OH,4/7/2000 21:30 +Vero Beach,,DIAMOND,FL,4/8/2000 1:30 +Seattle,,EGG,WA,4/8/2000 18:00 +Seattle,,EGG,WA,4/8/2000 18:35 +Menifee,ORANGE GREEN,FIREBALL,CA,4/9/2000 1:10 +Oceanside,GREEN,FIREBALL,CA,4/9/2000 1:10 +Newport Coast,,FIREBALL,CA,4/9/2000 1:11 +Santa Barbara,GREEN,FIREBALL,CA,4/9/2000 1:11 +Richmond,,CIRCLE,IN,4/9/2000 1:30 +Hot Springs,,CIGAR,AR,4/9/2000 16:30 +Temple City,,LIGHT,CA,4/9/2000 20:00 +Schuyler County area,RED,OVAL,IL,4/9/2000 22:30 +Springfield,RED,OVAL,IL,4/9/2000 22:30 +Sunflower,,TRIANGLE,AZ,4/10/2000 0:00 +Fresno,,CHEVRON,CA,4/10/2000 8:13 +South Whitley,,OTHER,IN,4/10/2000 10:00 +Greers Ferry,,,GA,4/10/2000 18:00 +Owls Head,,DIAMOND,ME,4/10/2000 23:00 +Tonasket,,LIGHT,WA,4/11/2000 5:10 +Fayetteville,,LIGHT,AR,4/12/2000 19:30 +West Palm Beach,,CIRCLE,FL,4/12/2000 20:50 +Eugene,,LIGHT,OR,4/12/2000 20:58 +Alamo Lake State Park,ORANGE,,AZ,4/12/2000 21:45 +Antioch,ORANGE,LIGHT,CA,4/13/2000 5:30 +Waite Park,,LIGHT,MN,4/13/2000 20:00 +Texarkana,,OTHER,TX,4/13/2000 21:30 +Eugene,ORANGE,SPHERE,OR,4/13/2000 22:30 +Pittsburgh,,TRIANGLE,PA,4/13/2000 22:30 +San Luis Obispo,,OVAL,CA,4/14/2000 3:00 +Newfields,,,NH,4/14/2000 3:27 +Montauk,,DISK,NY,4/14/2000 3:42 +East Killingly,RED,DISK,CT,4/14/2000 21:00 +New Haven,RED,,CT,4/14/2000 21:45 +Gulf of Mexico,,SPHERE,FL,4/15/2000 2:00 +Hayden,,LIGHT,ID,4/15/2000 4:00 +Phoenix,,VARIOUS,AZ,4/15/2000 12:25 +Gig Harbor,,DISK,WA,4/15/2000 13:45 +Tokeland,,,WA,4/15/2000 15:00 +Torrance,,DISK,CA,4/15/2000 15:35 +Beatty,,FORMATION,NV,4/15/2000 22:00 +Meraux,,RECTANGLE,LA,4/15/2000 22:00 +San Diego,,FORMATION,CA,4/15/2000 22:00 +Sedona,YELLOW,SPHERE,AZ,4/15/2000 23:00 +Prescott Valley,RED,SPHERE,AZ,4/15/2000 23:45 +Santee,,LIGHT,CA,4/16/2000 1:30 +Albuquerque,,RECTANGLE,NM,4/16/2000 10:25 +New York City,,DISK,NY,4/16/2000 12:00 +San Diego,,CYLINDER,CA,4/16/2000 14:00 +Sanibel Island,,,FL,4/16/2000 19:40 +Omaha,,FIREBALL,NE,4/16/2000 20:00 +Forest Grove,,CONE,OR,4/17/2000 2:00 +Tulsa,,CIGAR,OK,4/17/2000 6:15 +Los Angeles,,SPHERE,CA,4/17/2000 16:00 +Sultan,,LIGHT,WA,4/17/2000 19:20 +Santa Fe,YELLOW,CYLINDER,NM,4/17/2000 20:00 +Antioch,ORANGE,FIREBALL,CA,4/17/2000 22:30 +Corvallis,,FIREBALL,OR,4/17/2000 22:54 +Arizona,YELLOW,CIRCLE,AZ,4/18/2000 0:00 +Tacoma,,OTHER,WA,4/18/2000 11:32 +Cottonwood,,CYLINDER,AZ,4/18/2000 19:00 +Cocoa Beach,BLUE,CYLINDER,FL,4/18/2000 22:00 +Arroyo Seco,,LIGHT,CA,4/19/2000 13:30 +Jellico,,DISK,TN,4/19/2000 18:15 +Alabaster,,EGG,AL,4/19/2000 19:10 +Culver City,,LIGHT,CA,4/19/2000 20:20 +Delray Beach,,CHEVRON,FL,4/19/2000 23:09 +Chicago,,OTHER,IL,4/19/2000 23:50 +Palm Desert,,CIGAR,CA,4/20/2000 5:38 +Austin,,FIREBALL,TX,4/20/2000 17:00 +Burlington Township,,TRIANGLE,IL,4/20/2000 19:00 +Tonasket,,LIGHT,WA,4/20/2000 19:55 +Santa Clara,ORANGE,EGG,CA,4/20/2000 21:05 +Magna,ORANGE,LIGHT,UT,4/20/2000 21:23 +Clearfield,,CIRCLE,UT,4/20/2000 21:35 +Clearfield,,FORMATION,UT,4/20/2000 21:35 +Joshua,,,TX,4/20/2000 22:30 +Redlands,RED,,CA,4/20/2000 23:00 +Rockport,,OVAL,MA,4/20/2000 23:00 +Harrison,,CYLINDER,AR,4/21/2000 17:00 +Marion,,DISK,IN,4/21/2000 22:00 +Healdsburg,,TRIANGLE,CA,4/21/2000 23:15 +Manitowoc,,LIGHT,WI,4/22/2000 1:23 +Piqua,,,OH,4/22/2000 15:00 +Sullivan,,CIGAR,MO,4/22/2000 17:15 +Birmingham,,VARIOUS,AL,4/22/2000 22:00 +Victor,,FIREBALL,IA,4/22/2000 22:20 +Lake Charles,,TRIANGLE,LA,4/22/2000 23:15 +Burke,,DISK,VA,4/22/2000 23:30 +Las Vegas,,CIRCLE,NV,4/23/2000 1:30 +Nevada,,DISK,NV,4/23/2000 18:40 +Riverside,,LIGHT,CA,4/23/2000 21:00 +Arivaca,,OTHER,AZ,4/23/2000 22:00 +Eugene,,DISK,OR,4/23/2000 23:00 +Merrillville,,TRIANGLE,IN,4/24/2000 0:15 +Palmetto,,TRIANGLE,GA,4/24/2000 0:20 +San Jose,,SPHERE,CA,4/24/2000 18:08 +Tulsa,,FIREBALL,OK,4/24/2000 19:52 +Venice,RED BLUE,DIAMOND,CA,4/24/2000 20:00 +Chino Hills,GREEN,CIRCLE,CA,4/24/2000 22:30 +Cincinnati,,EGG,OH,4/24/2000 22:30 +Eagle River,RED,LIGHT,AK,4/24/2000 23:15 +Great Falls,,,MT,4/24/2000 23:30 +Wheaton,,CIRCLE,MD,4/25/2000 0:30 +Wood Dale,,OTHER,IL,4/25/2000 2:10 +Grand Rapids,,,MI,4/25/2000 21:25 +Kankakee,RED GREEN,CIRCLE,IL,4/25/2000 21:30 +Carrollton,,FORMATION,TX,4/25/2000 23:15 +San Rafael,,LIGHT,CA,4/25/2000 23:30 +Bolingbrook,,OVAL,IL,4/26/2000 21:30 +Palm Springs,,TRIANGLE,CA,4/27/2000 9:15 +Orlando,,OTHER,FL,4/27/2000 12:30 +Lewiston,ORANGE,LIGHT,ME,4/27/2000 13:00 +Coos Bay,,LIGHT,OR,4/27/2000 18:04 +Dallas,,LIGHT,TX,4/27/2000 20:40 +Prescott Valley,,CIRCLE,AZ,4/27/2000 22:00 +Hot Springs,,CIGAR,AR,4/27/2000 22:15 +Plano,,TRIANGLE,TX,4/27/2000 23:38 +Grants Pass,,CIRCLE,OR,4/28/2000 4:30 +Seattle,,FIREBALL,WA,4/28/2000 21:00 +Wheeling,,TRIANGLE,WV,4/28/2000 21:00 +Seattle,,DISK,WA,4/28/2000 22:05 +Federal Way,,CIGAR,WA,4/28/2000 22:07 +Federal Way,BLUE,CIGAR,WA,4/28/2000 22:07 +Seattle,GREEN,LIGHT,WA,4/28/2000 22:07 +Seattle,,OTHER,WA,4/28/2000 22:10 +Bossier City,,CHEVRON,LA,4/28/2000 22:28 +Des Moines,,,IA,4/28/2000 23:15 +Santa Maria,RED GREEN BLUE,OVAL,CA,4/29/2000 19:00 +Wittmann,,FLASH,AZ,4/29/2000 20:30 +Floral Park,,DISK,NY,4/29/2000 22:29 +Ogden,RED,CIRCLE,UT,4/29/2000 22:30 +Raccoon Creek State Park,,TRIANGLE,PA,4/29/2000 23:00 +Eagle Point,,CIRCLE,OR,4/29/2000 23:10 +Butte Falls,,LIGHT,OR,4/29/2000 23:11 +South Lyon,,DISK,MI,4/30/2000 0:00 +Franklin,RED,DIAMOND,MA,4/30/2000 0:12 +Layton,,TRIANGLE,UT,4/30/2000 22:00 +Corvallis,,DISK,OR,4/30/2000 22:30 +Portland,,CIRCLE,OR,4/30/2000 22:30 +Port Washington,,FIREBALL,WI,4/30/2000 23:41 +New York City,,FLASH,NY,5/1/2000 1:00 +Marietta,,OVAL,GA,5/1/2000 4:00 +Moreno Valley,,VARIOUS,CA,5/1/2000 9:23 +Geneva,,SPHERE,IL,5/1/2000 12:00 +Prairieville,,EGG,LA,5/1/2000 17:00 +Hwy 12,,LIGHT,WA,5/1/2000 20:00 +Westlake,,LIGHT,LA,5/1/2000 21:00 +Chicago,,SPHERE,IL,5/1/2000 21:30 +Little Rock,,TRIANGLE,AR,5/1/2000 22:55 +Red Shirt,,LIGHT,SD,5/1/2000 23:00 +Sheboygan,,DIAMOND,WI,5/2/2000 1:23 +Waterford,BLUE,DISK,NJ,5/3/2000 3:00 +Newton,,,MA,5/3/2000 9:45 +Mt. Pleasant,,LIGHT,IA,5/3/2000 20:00 +Pittsville,,CIRCLE,MO,5/3/2000 21:30 +Pittsville,,LIGHT,MO,5/3/2000 21:30 +Surprise,,LIGHT,AZ,5/3/2000 22:00 +Avon Lake,,OTHER,OH,5/3/2000 22:30 +Surprise,,,AZ,5/3/2000 22:30 +Gig Harbor,,SPHERE,WA,5/4/2000 10:30 +Deweyville,,DIAMOND,TX,5/4/2000 12:00 +Fallbrook,,OTHER,CA,5/4/2000 17:00 +Kansas City,,SPHERE,MO,5/4/2000 21:10 +Ferguson,,CIRCLE,MO,5/4/2000 21:44 +St. Cloud,,CIRCLE,FL,5/4/2000 22:00 +Houston,,TRIANGLE,TX,5/4/2000 23:40 +Atlanta,,LIGHT,GA,5/5/2000 0:00 +Onawa,,VARIOUS,IA,5/5/2000 19:30 +Johnson County,RED GREEN,SPHERE,KS,5/5/2000 20:30 +Simpsonville,RED BLUE,LIGHT,SC,5/5/2000 21:50 +Triborough Bridge,GREEN,LIGHT,NY,5/6/2000 5:05 +Bloomingburgh,,LIGHT,NY,5/6/2000 21:30 +Broad Creek,,,NC,5/6/2000 21:38 +Braintree,,LIGHT,MA,5/6/2000 22:00 +Costa Mesa,,DISK,CA,5/6/2000 23:30 +Portland,,OTHER,OR,5/7/2000 3:45 +Laguna Beach,BLUE,DISK,CA,5/7/2000 8:00 +Greenville,,OTHER,DE,5/7/2000 13:00 +Worcester County,,,MA,5/7/2000 16:30 +Edinburg,,TRIANGLE,IL,5/7/2000 22:12 +Evansville,,DIAMOND,IN,5/7/2000 22:45 +Pompton Plains,,DISK,NJ,5/8/2000 19:00 +Carpinteria,,TRIANGLE,CA,5/8/2000 22:00 +Decatur,,SPHERE,GA,5/9/2000 0:35 +Shahola Falls,,LIGHT,PA,5/9/2000 3:15 +Camp Atturburry,RED,SPHERE,IN,5/9/2000 8:30 +Lawton,,SPHERE,OK,5/9/2000 10:30 +Knoxville,,CIRCLE,TN,5/9/2000 12:00 +Canfield,,DISK,OH,5/9/2000 20:30 +Riverside,,CIRCLE,CA,5/9/2000 20:58 +Salado,,OTHER,TX,5/9/2000 21:30 +Ashton,,,MI,5/10/2000 10:00 +Charlotte,,TRIANGLE,NC,5/10/2000 22:00 +Riverside,,,CA,5/12/2000 1:02 +Molalla,,DISK,OR,5/12/2000 9:30 +Portland,,,OR,5/12/2000 20:50 +Covina,ORANGE,OTHER,CA,5/12/2000 22:17 +Milwaukee,,CONE,WI,5/12/2000 23:00 +Melbourne,,LIGHT,FL,5/12/2000 23:15 +Candor,,OTHER,NY,5/12/2000 23:25 +Federal Heights,,SPHERE,CO,5/13/2000 17:30 +Talladega,,OTHER,AL,5/13/2000 20:00 +Independence,,TRIANGLE,MO,5/13/2000 22:00 +Auburn,RED,,WA,5/13/2000 23:00 +Randall,ORANGE,TRIANGLE,MN,5/13/2000 23:30 +Vacaville,ORANGE,LIGHT,CA,5/13/2000 23:45 +Eastchester,,CIRCLE,NY,5/14/2000 3:00 +Millston,,DISK,WI,5/14/2000 17:00 +Union Beach,,TRIANGLE,NJ,5/14/2000 19:00 +Stafford Forge,RED,TRIANGLE,NJ,5/14/2000 21:25 +Tuckerton,RED YELLOW GREEN,TRIANGLE,NJ,5/14/2000 21:25 +Winter Haven,,EGG,FL,5/15/2000 2:30 +Bushkill,BLUE,CIRCLE,PA,5/15/2000 3:00 +Los Angeles,,TRIANGLE,CA,5/15/2000 4:00 +Dexter,,DISK,KY,5/15/2000 7:00 +Johnstown,,DISK,PA,5/15/2000 13:45 +Jackson,,CIGAR,NJ,5/15/2000 19:30 +New Rochelle,,CIRCLE,NY,5/15/2000 20:00 +Harrison,,LIGHT,AR,5/15/2000 21:00 +Ladson,,OTHER,SC,5/15/2000 21:30 +Woodburn,,LIGHT,OR,5/15/2000 21:55 +Buttonwillow,,CHEVRON,CA,5/15/2000 22:00 +Lancaster,,TRIANGLE,CA,5/15/2000 22:00 +Virginia,,OTHER,MN,5/15/2000 22:00 +Pittsburg,RED GREEN,LIGHT,TX,5/15/2000 22:30 +Shakopee,,FIREBALL,MN,5/15/2000 22:50 +Fair Lawn,,CIRCLE,NJ,5/15/2000 23:00 +Cleveland,,TEARDROP,OH,5/15/2000 23:30 +Ottawa,,,WI,5/16/2000 9:30 +Charlotte,,EGG,NC,5/16/2000 11:00 +Wilmington,,OTHER,DE,5/17/2000 0:35 +Fredericksburg,,TEARDROP,TX,5/17/2000 16:00 +Glen Ridge,,CIRCLE,NJ,5/17/2000 19:30 +Jackson,,SPHERE,TN,5/17/2000 19:30 +Bakersfield,,CROSS,CA,5/17/2000 21:00 +Bay City,,OVAL,OR,5/17/2000 21:54 +San Francisco,,LIGHT,CA,5/18/2000 20:55 +Brookville,,DIAMOND,PA,5/18/2000 21:00 +Cuba,,TRIANGLE,MO,5/18/2000 22:10 +Phoenix,,CIRCLE,AZ,5/19/2000 0:00 +Cocoa,,LIGHT,FL,5/19/2000 21:00 +Augusta,,FIREBALL,KS,5/20/2000 0:00 +Hudson,,OVAL,OH,5/20/2000 5:00 +Benedicta,,SPHERE,ME,5/20/2000 13:00 +Viola,,CIGAR,WI,5/20/2000 14:27 +Glenn Ellyn,,OTHER,IL,5/20/2000 15:00 +Hampton,,OTHER,VA,5/20/2000 16:10 +Santa Clarita,,LIGHT,CA,5/20/2000 20:20 +Lancaster,,,CA,5/20/2000 20:45 +Index,,CONE,WA,5/20/2000 23:30 +NASA-INTERNET TV,,DISK,TX,5/21/2000 1:00 +New Smyrna Beach,,,FL,5/21/2000 2:40 +Bauxite,,TRIANGLE,AR,5/21/2000 23:00 +Houston,GREEN,LIGHT,TX,5/22/2000 3:30 +Visalia,BLUE,FIREBALL,CA,5/22/2000 18:00 +Paso Robles,,FLASH,CA,5/22/2000 21:10 +Gardner,ORANGE GREEN,EGG,KS,5/22/2000 23:00 +Dayton,,,OH,5/22/2000 23:15 +Tulsa,,CIRCLE,OK,5/23/2000 20:15 +Sun Prairie,,,WI,5/23/2000 22:30 +Cleveland,,TRIANGLE,TN,5/23/2000 23:00 +Mount Shasta,,TEARDROP,CA,5/24/2000 0:00 +Flagstaff,,OVAL,AZ,5/25/2000 2:30 +Dallas,,DISK,TX,5/25/2000 15:15 +Burr Ridge,,TRIANGLE,IL,5/25/2000 19:40 +Victor,RED GREEN,DISK,NY,5/25/2000 20:00 +Ketchikan,,OVAL,AK,5/25/2000 21:00 +Cottage Hills,,CHEVRON,IL,5/25/2000 21:30 +Phoenix,,LIGHT,AZ,5/25/2000 21:30 +South Pasadena,,CHEVRON,CA,5/26/2000 9:28 +Yuma,,,AZ,5/26/2000 19:00 +Burbank,ORANGE,DISK,CA,5/26/2000 20:00 +Newton,,LIGHT,NH,5/26/2000 22:15 +Littleton,,FIREBALL,CO,5/26/2000 22:50 +Jersey City,ORANGE,SPHERE,NJ,5/26/2000 23:15 +Ogdensburg,,VARIOUS,NY,5/26/2000 23:15 +Cincinnati,,CIRCLE,OH,5/27/2000 2:00 +Lake Havasu,,DISK,AZ,5/27/2000 16:30 +Nassau County,,DISK,NY,5/27/2000 21:00 +Los Angeles,,FORMATION,CA,5/27/2000 22:55 +Fresno,,FORMATION,CA,5/28/2000 0:20 +Maricopa,,EGG,CA,5/28/2000 14:00 +White Sands,,LIGHT,NM,5/28/2000 20:00 +Decatur,,VARIOUS,TX,5/28/2000 20:30 +Spring,RED,,TX,5/28/2000 21:15 +St. Petersburg,ORANGE,FIREBALL,FL,5/28/2000 22:00 +Sacramento,,TRIANGLE,CA,5/28/2000 22:32 +Sioux Falls,,FIREBALL,SD,5/29/2000 1:00 +Tallahassee,,DISK,FL,5/29/2000 4:00 +Clovis,,LIGHT,CA,5/29/2000 21:00 +Prescott Valley,,FORMATION,AZ,5/30/2000 20:05 +Fort Morgan,GREEN,OVAL,AL,5/30/2000 21:00 +Schuyler County,ORANGE GREEN,LIGHT,IL,5/30/2000 22:07 +Boston,,FIREBALL,MA,5/31/2000 23:50 +Joshua Tree National Park,,OVAL,CA,6/1/2000 0:00 +Auburn,,OVAL,WA,6/1/2000 1:00 +San Francisco,,FORMATION,CA,6/1/2000 2:00 +Powhatan,,LIGHT,VA,6/1/2000 12:00 +Livonia,,DISK,MI,6/1/2000 13:00 +Albuquerque,,LIGHT,NM,6/1/2000 15:00 +Macon,,OTHER,GA,6/1/2000 15:00 +Chattanooga,,DISK,TN,6/1/2000 17:00 +Key West,,FORMATION,FL,6/1/2000 20:00 +Santa Fe,,TRIANGLE,NM,6/1/2000 21:30 +San Francisco,,FIREBALL,CA,6/1/2000 22:00 +Mineola,,TEARDROP,NY,6/1/2000 22:20 +Boca Raton,,TRIANGLE,FL,6/1/2000 22:30 +Buckley,,DISK,WA,6/1/2000 23:00 +Peru,,EGG,IN,6/2/2000 0:00 +Gilbert,,OVAL,AZ,6/2/2000 19:50 +Escondido,RED,LIGHT,CA,6/2/2000 22:00 +Gladstone,,LIGHT,MI,6/3/2000 0:17 +Placitas,,CIRCLE,NM,6/3/2000 14:00 +Albuquerque,,SPHERE,NM,6/3/2000 14:30 +Greer,RED,TRIANGLE,AZ,6/3/2000 19:30 +Overgaard,RED BLUE,TRIANGLE,AZ,6/3/2000 19:30 +Bluewater Village,,DISK,NM,6/3/2000 20:00 +Bluewater Village,,OVAL,NM,6/3/2000 20:30 +Kaneohe,,OTHER,HI,6/3/2000 20:30 +Manzanita,ORANGE,FIREBALL,OR,6/3/2000 21:45 +Manzanita,ORANGE,LIGHT,OR,6/3/2000 22:00 +Cranberry Township,,CIRCLE,PA,6/3/2000 22:30 +Ithaca,,FLASH,MI,6/3/2000 22:35 +New York City,,CHEVRON,NY,6/3/2000 23:30 +Milwaukee,,DISK,WI,6/4/2000 2:00 +Milwaukee,,DISK,WI,6/4/2000 21:30 +Augusta,,LIGHT,KS,6/5/2000 3:45 +Ironton,,TRIANGLE,OH,6/5/2000 21:00 +Conway,,TRIANGLE,SC,6/5/2000 22:00 +Sargent,,,GA,6/5/2000 23:00 +San Francisco,,,CA,6/5/2000 23:30 +Mt. Vernon,,RECTANGLE,VA,6/6/2000 1:45 +El Cajon,,SPHERE,CA,6/6/2000 3:20 +Tulsa,,CIRCLE,OK,6/6/2000 8:15 +St. Louis,,OVAL,MO,6/6/2000 17:22 +Marlette,,OVAL,MI,6/7/2000 13:00 +Modesto,,SPHERE,CA,6/7/2000 14:00 +Deltona,,,FL,6/7/2000 19:00 +Ely,,LIGHT,MN,6/7/2000 21:30 +Deltona,,,FL,6/7/2000 22:00 +Tempe,,,AZ,6/7/2000 22:00 +Elkhart,,CIRCLE,KS,6/7/2000 23:48 +Ely,,DIAMOND,MN,6/8/2000 1:00 +Mulino,,CIGAR,OR,6/8/2000 11:00 +Lynnville,,DISK,IA,6/9/2000 13:00 +Richland,,TEARDROP,WA,6/9/2000 17:00 +Gilbert,RED,LIGHT,AZ,6/9/2000 20:15 +West Valley,,LIGHT,NY,6/9/2000 20:30 +Kensington,,CYLINDER,MD,6/9/2000 22:15 +Germantown,RED,TRIANGLE,MD,6/9/2000 22:35 +Circle Pines,,LIGHT,MN,6/9/2000 23:00 +Clinton Township,,LIGHT,MI,6/9/2000 23:35 +Carrolton,,LIGHT,GA,6/10/2000 0:00 +Polk City,,CIRCLE,IA,6/10/2000 2:30 +Henry Cowe Park,,CIRCLE,CA,6/10/2000 3:00 +Jacksonville,RED YELLOW GREEN,LIGHT,FL,6/10/2000 4:00 +Avoco,,TRIANGLE,PA,6/10/2000 12:00 +Stevens Point,,CIRCLE,WI,6/10/2000 13:00 +Slatington,,OVAL,PA,6/10/2000 18:00 +Hillsboro,RED,CIRCLE,MO,6/10/2000 19:00 +Gilbert,RED,,AZ,6/10/2000 19:30 +Lakewood,,LIGHT,CA,6/10/2000 21:23 +Orofino,,TRIANGLE,ID,6/10/2000 21:30 +Levittown,GREEN,CYLINDER,NY,6/10/2000 21:35 +Parlin,,,NJ,6/10/2000 21:38 +Moundsville,RED YELLOW,FLASH,WV,6/10/2000 22:00 +Santa Monica,,LIGHT,CA,6/10/2000 23:00 +Framingham,ORANGE,SPHERE,MA,6/11/2000 2:16 +Freer,,DISK,TX,6/11/2000 2:30 +Freer,RED,CIRCLE,TX,6/11/2000 3:00 +Lunenburg,,SPHERE,MA,6/11/2000 3:05 +Starr,,OTHER,SC,6/11/2000 16:30 +Tucson,,OTHER,AZ,6/11/2000 17:30 +Houston,,TEARDROP,TX,6/12/2000 11:45 +Lynnwood,,TRIANGLE,WA,6/12/2000 17:20 +Houston,,DISK,TX,6/12/2000 19:00 +Hurst,,FIREBALL,TX,6/12/2000 23:26 +Salina,,CONE,KS,6/13/2000 16:50 +Los Angeles,,LIGHT,CA,6/13/2000 20:00 +Casper,,OVAL,WY,6/13/2000 22:00 +Creaston,,LIGHT,CA,6/13/2000 22:00 +Prineville,,RECTANGLE,OR,6/14/2000 2:30 +Greenfield,,OTHER,IL,6/14/2000 19:30 +Green Ridge,,LIGHT,MO,6/14/2000 21:00 +Greenfield,,CHEVRON,IL,6/14/2000 21:30 +Ventura,,CIRCLE,CA,6/14/2000 22:00 +Ravenna,,LIGHT,MI,6/14/2000 22:40 +Blue Springs,,FIREBALL,MO,6/14/2000 23:45 +Eugene,,TRIANGLE,OR,6/15/2000 2:00 +Oakdale,,CIRCLE,MN,6/15/2000 2:00 +Los Angeles,,,CA,6/15/2000 3:00 +Dayton,,OTHER,OH,6/15/2000 5:00 +Lincoln Park,,OTHER,MI,6/15/2000 12:28 +,,SPHERE,NY,6/15/2000 15:00 +Sault Ste. Marie,,SPHERE,MI,6/15/2000 17:30 +Caarthage,,TRIANGLE,MS,6/15/2000 17:45 +Chanhassen,ORANGE,DISK,MN,6/15/2000 18:30 +Findlay,,OVAL,OH,6/15/2000 21:00 +Stratford,,TRIANGLE,TX,6/15/2000 21:00 +Cape May Court House,,LIGHT,NJ,6/15/2000 22:00 +Solon,,CIRCLE,OH,6/15/2000 22:00 +Millville,,TRIANGLE,NJ,6/15/2000 23:00 +Sparks,,LIGHT,NV,6/15/2000 23:00 +Seattle,ORANGE BLUE,OTHER,WA,6/15/2000 23:11 +Ringwood,,LIGHT,IL,6/15/2000 23:45 +Redlands,,LIGHT,CA,6/16/2000 0:05 +Portland,,,OR,6/16/2000 2:00 +Cannonsburgh,,FIREBALL,PA,6/16/2000 13:23 +Saratoga,BLUE,OVAL,NY,6/16/2000 14:00 +Cahokia,GREEN BLUE,TRIANGLE,IL,6/16/2000 21:45 +St. Louis,,OTHER,MO,6/16/2000 23:30 +Atlantic Ocean,,,NC,6/17/2000 0:35 +Sheboygan,,,WI,6/17/2000 2:50 +Tualatin,,DISK,OR,6/17/2000 16:00 +Sierra Madre,,SPHERE,CA,6/17/2000 17:30 +Farmington Hills,,VARIOUS,MI,6/17/2000 21:40 +Robstown,,SPHERE,TX,6/17/2000 22:00 +Spanish Fork,,SPHERE,UT,6/17/2000 22:52 +Sunnyside,,LIGHT,NY,6/18/2000 4:30 +West Branch,,OVAL,IA,6/18/2000 10:45 +Monroe,,RECTANGLE,NY,6/18/2000 23:06 +Clearlake,,CIRCLE,CA,6/19/2000 1:30 +Rawlins,,DISK,WY,6/19/2000 13:00 +New York City,RED,TRIANGLE,NY,6/19/2000 18:30 +Santa Monica,,TRIANGLE,CA,6/19/2000 21:40 +Harrison,,LIGHT,OH,6/19/2000 21:52 +Fort Wayne,ORANGE,OTHER,IN,6/19/2000 23:10 +Yosemite,,TRIANGLE,CA,6/19/2000 23:50 +Clifton,,OTHER,NJ,6/20/2000 0:00 +Willard Bay,ORANGE,LIGHT,UT,6/20/2000 0:00 +Yakima,YELLOW,LIGHT,WA,6/20/2000 1:25 +Salida,,TRIANGLE,CA,6/20/2000 20:00 +Stetson,YELLOW,LIGHT,ME,6/20/2000 20:00 +Lebanon,RED BLUE,FIREBALL,VA,6/20/2000 21:43 +Church Hill,,FLASH,TN,6/20/2000 21:50 +Colorado Springs,,,CO,6/20/2000 22:00 +Revere,,DISK,MA,6/20/2000 22:00 +Tifton,,,GA,6/20/2000 22:00 +Raymondville,,CIRCLE,MO,6/20/2000 22:15 +Salem,ORANGE,VARIOUS,OR,6/20/2000 22:25 +Highway 5?,,RECTANGLE,CA,6/20/2000 23:00 +Ware Shoals,,,SC,6/20/2000 23:00 +Portland,,CIGAR,OR,6/21/2000 15:30 +Glendale,RED,VARIOUS,CO,6/21/2000 16:50 +St. Peter,YELLOW GREEN,CIRCLE,MN,6/21/2000 23:15 +Sophia,,,WV,6/22/2000 9:30 +Tupelo,,DISK,MS,6/22/2000 17:30 +Pine Haven,,EGG,WY,6/22/2000 21:00 +Providence,,EGG,RI,6/22/2000 21:30 +Green Bay,,LIGHT,WI,6/22/2000 22:35 +Georgetown,,LIGHT,DE,6/22/2000 23:00 +Huntington Beach,,OTHER,CA,6/23/2000 0:00 +Blackfoot,RED,LIGHT,ID,6/23/2000 0:15 +Pinedale,,DIAMOND,WY,6/23/2000 8:00 +San Francisco,,CIRCLE,CA,6/23/2000 15:30 +Tacoma,,OTHER,WA,6/23/2000 21:00 +Tacoma,,LIGHT,WA,6/23/2000 21:30 +Scottsdale,,LIGHT,AZ,6/23/2000 21:45 +Morrilton,,RECTANGLE,AR,6/23/2000 22:00 +Magna,,CIRCLE,UT,6/23/2000 22:30 +Canyon,BLUE,,TX,6/23/2000 22:40 +Magna,,CIRCLE,UT,6/23/2000 22:45 +Federal Way,,SPHERE,WA,6/24/2000 12:50 +North Fork,,LIGHT,CA,6/24/2000 21:24 +Olathe,,LIGHT,KS,6/24/2000 21:44 +Hurricane,,FORMATION,WV,6/24/2000 22:00 +Wintersville,,CYLINDER,OH,6/24/2000 22:15 +Hazlet,,CIRCLE,NJ,6/24/2000 22:35 +Redmond,,CHEVRON,WA,6/24/2000 22:45 +Shelby Township,,TRIANGLE,MI,6/24/2000 23:30 +Dallas,,DIAMOND,TX,6/25/2000 0:24 +Cranston,,,RI,6/25/2000 2:25 +Aloha,,CIGAR,OR,6/25/2000 19:15 +New York City,,OVAL,NY,6/25/2000 19:30 +Little Chute,,FIREBALL,WI,6/25/2000 21:00 +Orange,ORANGE,LIGHT,CA,6/25/2000 21:23 +Salt Lake City,,LIGHT,UT,6/25/2000 22:40 +Bozeman,,LIGHT,MT,6/26/2000 0:15 +Los Angeles,,,CA,6/26/2000 0:22 +Sandy,,,OR,6/26/2000 18:35 +San Diego,BLUE,LIGHT,CA,6/26/2000 21:30 +St. George,,LIGHT,UT,6/26/2000 22:00 +Otis,,,OR,6/26/2000 22:20 +Sedro Woolley,,LIGHT,WA,6/26/2000 22:25 +Blackstone,,LIGHT,VA,6/26/2000 22:35 +Las Vegas,,LIGHT,NV,6/26/2000 22:40 +Gresham,,OTHER,OR,6/26/2000 23:04 +Chicago,,OVAL,IL,6/26/2000 23:20 +West Chazy,ORANGE,,NY,6/27/2000 0:03 +Interstate 5,RED,OTHER,CA,6/27/2000 21:00 +Fallbrook,,LIGHT,CA,6/27/2000 21:30 +Apache Junction,,LIGHT,AZ,6/27/2000 21:40 +Bakersfield,,FIREBALL,CA,6/27/2000 21:50 +Moab,,CIRCLE,UT,6/27/2000 22:00 +Boston,,LIGHT,MA,6/27/2000 22:40 +Sewell,,TRIANGLE,NJ,6/27/2000 22:50 +Newmarket,,OVAL,NH,6/28/2000 1:00 +Albuquerque,,LIGHT,NM,6/28/2000 2:00 +St. Louis,,TRIANGLE,MO,6/28/2000 16:11 +Monticello,,LIGHT,FL,6/28/2000 22:03 +Chico,,CIRCLE,CA,6/29/2000 0:10 +Paso Robles,,LIGHT,CA,6/29/2000 1:00 +Minneapolis,,SPHERE,MN,6/29/2000 21:00 +Jefferson City,,TRIANGLE,MO,6/29/2000 21:30 +DeSoto,,OTHER,IL,6/29/2000 22:30 +Penn Valley,YELLOW,CIRCLE,CA,6/29/2000 23:50 +Ewa Beach,,TRIANGLE,HI,6/30/2000 0:00 +Indianapolis,,,IN,6/30/2000 0:00 +Myers Spring Canyon,,CIRCLE,TX,6/30/2000 0:00 +Las Vegas,,TRIANGLE,NV,6/30/2000 2:30 +Orlando,,RECTANGLE,FL,6/30/2000 13:00 +Morrison,,RECTANGLE,CO,6/30/2000 14:00 +Springboro,,CIRCLE,PA,6/30/2000 15:00 +Wantage,YELLOW,CIRCLE,NJ,6/30/2000 17:00 +West Gardiner,,CIGAR,ME,6/30/2000 19:00 +Mountain Home AFB,,TRIANGLE,ID,6/30/2000 19:30 +Bennington,,OTHER,VT,6/30/2000 20:00 +New Port Richey,,CIRCLE,FL,6/30/2000 20:00 +Austin,,CYLINDER,TX,6/30/2000 20:30 +Lincoln,,FORMATION,NE,6/30/2000 21:30 +Sycamore,,TRIANGLE,OH,6/30/2000 21:35 +Ogden,ORANGE,SPHERE,UT,6/30/2000 21:40 +Bedford,,LIGHT,NY,6/30/2000 22:00 +Buffalo,,TRIANGLE,NY,6/30/2000 22:00 +Hollister,,CIRCLE,CA,6/30/2000 22:00 +Paso Robles,,FORMATION,CA,6/30/2000 22:30 +St. Paul,,CIRCLE,MN,6/30/2000 22:40 +George,GREEN,LIGHT,WA,7/1/2000 0:10 +Santa Rosa,,SPHERE,CA,7/1/2000 1:00 +Bismarck,,LIGHT,ND,7/1/2000 2:30 +Crystal Beach,,TRIANGLE,TX,7/1/2000 3:00 +Midland,,LIGHT,MI,7/1/2000 3:11 +Baker,,CIGAR,CA,7/1/2000 3:30 +Baker,,CIGAR,CA,7/1/2000 3:30 +Ojai,,TRIANGLE,CA,7/1/2000 3:50 +"Tylertown, MS",,LIGHT,MS,7/1/2000 4:00 +San Pedro,,OVAL,CA,7/1/2000 11:45 +Ponca,,LIGHT,OK,7/1/2000 14:00 +Defiance,,CROSS,OH,7/1/2000 15:00 +Ogden,,OVAL,UT,7/1/2000 16:00 +Waco,,CIRCLE,TX,7/1/2000 17:00 +Bellingham,,TRIANGLE,WA,7/1/2000 19:00 +Stockton,,DISK,CA,7/1/2000 19:00 +Phoenix,,FORMATION,AZ,7/1/2000 21:00 +Sewell,,RECTANGLE,NJ,7/1/2000 21:00 +Montgomery Pass,GREEN,OVAL,NV,7/1/2000 22:00 +Palmyra,,,NY,7/1/2000 22:00 +New York City,,TRIANGLE,NY,7/1/2000 22:15 +San Jose,,FIREBALL,CA,7/1/2000 22:15 +Salinas,,FIREBALL,CA,7/1/2000 22:30 +Sierra Nevada Mtns,,,CA,7/1/2000 22:30 +Lancaster,,DISK,CA,7/1/2000 22:50 +Orcas Island,,FORMATION,WA,7/2/2000 0:30 +Land Between The Lakes,,TRIANGLE,KY,7/2/2000 1:20 +Largo,,CIGAR,FL,7/2/2000 13:30 +Mount Pleasant,RED,CIRCLE,SC,7/2/2000 21:15 +East Windsor,,OVAL,NJ,7/2/2000 21:45 +West Fork,,LIGHT,AR,7/2/2000 22:00 +West Windsor,,DISK,NJ,7/2/2000 22:10 +Ice House Campground,,FORMATION,CA,7/2/2000 22:30 +Kewaunee,ORANGE,DISK,WI,7/3/2000 1:00 +Dedham,,,MA,7/3/2000 2:45 +Las Vegas,,OVAL,NV,7/3/2000 15:30 +Cottage Grove,,RECTANGLE,WA,7/3/2000 17:00 +Meridian,,OTHER,ID,7/3/2000 17:00 +Boston,,LIGHT,NY,7/3/2000 19:00 +Anderson,,LIGHT,CA,7/3/2000 21:45 +Colebrook,,VARIOUS,NH,7/3/2000 22:30 +Colorado Springs,,LIGHT,CO,7/4/2000 2:30 +Columbus,,LIGHT,GA,7/4/2000 3:00 +Loves Park,,CIGAR,IL,7/4/2000 17:30 +Potsdam,,TRIANGLE,NY,7/4/2000 18:00 +St. Louis,,FIREBALL,MO,7/4/2000 20:40 +Pacific City,,LIGHT,OR,7/4/2000 21:00 +Urbandale,,LIGHT,IA,7/4/2000 21:00 +Windsor Heights,RED,LIGHT,IA,7/4/2000 21:00 +Des Moines,,LIGHT,IA,7/4/2000 21:30 +Conyers,RED,LIGHT,GA,7/4/2000 21:45 +Tacoma,RED,LIGHT,WA,7/4/2000 21:50 +Des Moines,,LIGHT,IA,7/4/2000 22:00 +Tacoma,RED,CIRCLE,WA,7/4/2000 22:00 +West Des Moines,,CIRCLE,IA,7/4/2000 22:00 +Puyallup,,CIRCLE,WA,7/4/2000 22:15 +Riverview,ORANGE,CIRCLE,FL,7/4/2000 22:15 +Tacoma,RED,LIGHT,WA,7/4/2000 22:25 +Houston,RED,FIREBALL,TX,7/4/2000 22:30 +Tacoma,RED,LIGHT,WA,7/4/2000 22:30 +Tacoma,RED ORANGE,OTHER,WA,7/4/2000 22:30 +Oakland,,TRIANGLE,MD,7/4/2000 23:00 +Toledo,,TRIANGLE,OH,7/4/2000 23:00 +Interlochen,,LIGHT,MI,7/4/2000 23:15 +Graham,RED BLUE,CIGAR,WA,7/4/2000 23:30 +Roslyn,,LIGHT,WA,7/4/2000 23:30 +Seattle,GREEN,LIGHT,WA,7/5/2000 5:47 +Wildwood Coast,,CYLINDER,NJ,7/5/2000 16:00 +Schnecksville,,OVAL,PA,7/5/2000 19:30 +San Diego,,CIGAR,CA,7/5/2000 20:20 +Kingman,,OTHER,AZ,7/5/2000 21:00 +Corvallis,,OTHER,OR,7/5/2000 22:15 +Lincon City,,CROSS,OR,7/6/2000 0:30 +Easton,,SPHERE,PA,7/6/2000 1:00 +Rockford,ORANGE,VARIOUS,IL,7/6/2000 20:15 +Marinette,GREEN,CYLINDER,WI,7/6/2000 20:30 +Thornton,,CYLINDER,CO,7/6/2000 20:30 +Thornton,YELLOW,CYLINDER,CO,7/6/2000 20:30 +South Ontario,,CYLINDER,CA,7/6/2000 20:45 +Columbia,,TRIANGLE,MO,7/6/2000 21:30 +Barstow,,CIGAR,CA,7/6/2000 22:00 +Salt Lake City,,OTHER,UT,7/6/2000 23:14 +Babylon,,FORMATION,NY,7/6/2000 23:20 +Highland Park,,FIREBALL,IL,7/7/2000 1:00 +Frederick,,SPHERE,MD,7/7/2000 1:45 +Cleveland,ORANGE,,OH,7/7/2000 4:15 +Cadillac,,OVAL,MI,7/7/2000 12:05 +Santa Clara,,LIGHT,CA,7/7/2000 20:30 +Citrus Heights,BLUE,OTHER,CA,7/7/2000 21:00 +Los Angeles,,LIGHT,CA,7/7/2000 21:00 +San Diego,GREEN,LIGHT,CA,7/7/2000 21:00 +Woodland,,CONE,CA,7/7/2000 21:10 +Los Angeles,BLUE,LIGHT,CA,7/7/2000 21:15 +Sunnyvale,BLUE,CIRCLE,CA,7/7/2000 21:20 +Sunnyvale,BLUE,CIRCLE,CA,7/7/2000 21:20 +Visalia,BLUE,LIGHT,CA,7/7/2000 21:20 +Red Rock Canyon,,OVAL,NV,7/7/2000 21:21 +Red Bluff,,FIREBALL,CA,7/7/2000 21:22 +West Covina,BLUE,LIGHT,CA,7/7/2000 21:25 +Covina,BLUE,OVAL,CA,7/7/2000 21:30 +Kingman,,LIGHT,AZ,7/7/2000 21:30 +Las Vegas,GREEN,LIGHT,NV,7/7/2000 21:30 +Los Angeles,,SPHERE,CA,7/7/2000 21:30 +Pacific Palisades,GREEN BLUE,OTHER,CA,7/7/2000 21:30 +Sacramento,,FIREBALL,CA,7/7/2000 21:30 +Santa Rosa,BLUE,LIGHT,CA,7/7/2000 21:30 +Tacna,,LIGHT,AZ,7/7/2000 21:30 +Thermal,BLUE,LIGHT,CA,7/7/2000 21:30 +Tonapah,,,NV,7/7/2000 21:30 +Riveside,,LIGHT,CA,7/7/2000 21:35 +Sacramento,,RECTANGLE,CA,7/7/2000 21:35 +Kingston Springs,RED,FIREBALL,TN,7/7/2000 22:00 +Winnemucca,GREEN,LIGHT,NV,7/7/2000 22:10 +St. George,,LIGHT,UT,7/7/2000 22:30 +North San Francisco,,DISK,CA,7/8/2000 15:22 +Ceres,,,CA,7/8/2000 20:00 +Poway,BLUE,,CA,7/8/2000 20:30 +Stanwood - I-5 corridor,RED,FIREBALL,WA,7/8/2000 21:50 +Santa Rosa,GREEN,LIGHT,CA,7/8/2000 22:00 +Salem,RED,,OR,7/8/2000 22:50 +Steubenville,,TRIANGLE,OH,7/8/2000 23:00 +Paint Lick,,,KY,7/8/2000 23:25 +Klamath National Wildlife Refuge,BLUE,CYLINDER,OR,7/9/2000 7:45 +Torrington,,LIGHT,CT,7/9/2000 8:30 +Franklin Square,,,NY,7/9/2000 9:15 +Palmer,,,MA,7/9/2000 12:00 +Salt Lake City,,OVAL,UT,7/9/2000 18:00 +Satellite Beach,,OTHER,FL,7/9/2000 20:30 +Milwaukie,,LIGHT,OR,7/10/2000 1:40 +Evanston,,OTHER,IL,7/10/2000 3:00 +Commerce City,,LIGHT,CO,7/10/2000 12:15 +Virginia Beach,,,VA,7/10/2000 13:00 +Big Pine,,OTHER,CA,7/10/2000 17:00 +Tomah,,CIGAR,WI,7/10/2000 19:00 +Downers Grove,,SPHERE,IL,7/10/2000 20:00 +Redland,,CIRCLE,OR,7/10/2000 20:30 +St. George Island,ORANGE,TRIANGLE,FL,7/10/2000 23:15 +Flagstaff,,OTHER,AZ,7/10/2000 23:30 +Salem,,,OR,7/11/2000 0:30 +Shohola Falls,,LIGHT,PA,7/11/2000 2:30 +Bridgewater,,VARIOUS,CT,7/11/2000 3:30 +Torrington,,SPHERE,CT,7/11/2000 9:00 +Nashville,,SPHERE,TN,7/12/2000 0:00 +Franklin,,DISK,PA,7/12/2000 1:56 +Rim Rock,,CIRCLE,AZ,7/12/2000 9:57 +Portland,,CYLINDER,OR,7/12/2000 18:30 +Spring Glen,,DISK,NY,7/12/2000 19:50 +Gilbert,RED,,AZ,7/12/2000 20:00 +Gilbert,RED,LIGHT,AZ,7/12/2000 20:00 +Scottsdale,,FIREBALL,AZ,7/12/2000 20:00 +Gilbert,,CIRCLE,AZ,7/12/2000 20:10 +Gilbert,,DIAMOND,AZ,7/12/2000 20:10 +Gilbert,RED,DIAMOND,AZ,7/12/2000 20:10 +Gilbert,,FIREBALL,AZ,7/12/2000 20:10 +Chandler,RED,CIRCLE,AZ,7/12/2000 20:19 +Glendale,RED,LIGHT,AZ,7/12/2000 20:30 +Gilbert,,LIGHT,AZ,7/12/2000 20:35 +Falfurias,RED,LIGHT,TX,7/12/2000 22:00 +Casa,GREEN,CIGAR,AR,7/12/2000 23:00 +Route 280 Exit 1,,EGG,NJ,7/12/2000 23:00 +Sherman,,LIGHT,NY,7/12/2000 23:30 +Gilbert,RED,CIRCLE,AZ,7/13/2000 19:25 +Gilbert,,DIAMOND,AZ,7/13/2000 19:54 +Gilbert,,CIRCLE,AZ,7/13/2000 20:00 +Gilbert,RED,LIGHT,AZ,7/13/2000 20:00 +Glendale,RED,FIREBALL,AZ,7/13/2000 20:00 +Gilbert,RED,CIRCLE,AZ,7/13/2000 20:10 +Addison,,CIRCLE,NY,7/13/2000 21:30 +Monterey Park,,CIGAR,CA,7/13/2000 22:00 +Onalaska,,FIREBALL,WI,7/13/2000 22:23 +Norristown,,LIGHT,PA,7/13/2000 23:15 +Summit,,DISK,NJ,7/13/2000 23:40 +Portland,BLUE,FLASH,OR,7/14/2000 2:00 +Pasquag,,CIRCLE,RI,7/14/2000 2:30 +Fresno,,,CA,7/14/2000 3:00 +Greensburg,,OTHER,PA,7/14/2000 3:00 +Troy,,DISK,NY,7/14/2000 3:00 +Oklahoma City,,CIGAR,OK,7/14/2000 17:40 +Memphis,,TRIANGLE,TN,7/14/2000 18:00 +Ragly,,,LA,7/14/2000 21:00 +Quincy,,EGG,CA,7/14/2000 22:20 +Tooele,,,UT,7/14/2000 22:30 +Little Rock,,LIGHT,AR,7/14/2000 23:00 +Olympia,,LIGHT,WA,7/14/2000 23:00 +Sikeston,,CHEVRON,MO,7/14/2000 23:30 +Thibodaux,ORANGE,FIREBALL,LA,7/14/2000 23:30 +Palos Hills,,,IL,7/15/2000 0:30 +Miami,,CIGAR,FL,7/15/2000 1:00 +Cheshire,ORANGE,OVAL,OH,7/15/2000 1:15 +Vancouver,,CIRCLE,WA,7/15/2000 7:00 +Billerica,,DISK,MA,7/15/2000 9:00 +Aurora,,SPHERE,OR,7/15/2000 16:00 +Orange,,CIRCLE,CA,7/15/2000 17:15 +Los Angeles,,TRIANGLE,CA,7/15/2000 18:00 +Enochville,,CYLINDER,NC,7/15/2000 18:50 +Gilbert,RED,LIGHT,AZ,7/15/2000 19:30 +Geneva,,SPHERE,IL,7/15/2000 20:00 +Naperville,,DISK,IL,7/15/2000 20:25 +Madison,,CIGAR,OH,7/15/2000 20:50 +New City,,TRIANGLE,NY,7/15/2000 21:30 +Wichita,,OTHER,KS,7/15/2000 21:30 +Aloha,,LIGHT,OR,7/15/2000 22:00 +Clio,,CIRCLE,MI,7/15/2000 22:00 +Houston,,OTHER,TX,7/15/2000 22:00 +Loves Park,,TRIANGLE,IL,7/15/2000 22:00 +Apopka,,SPHERE,FL,7/15/2000 22:30 +Manistee Forest,,,MI,7/15/2000 22:30 +Luna Pier,,OVAL,MI,7/15/2000 23:00 +Bakersfield,,TRIANGLE,CA,7/15/2000 23:50 +Portland,ORANGE GREEN,LIGHT,OR,7/16/2000 0:34 +Portland,,LIGHT,OR,7/16/2000 1:00 +New Braunfels,,CIRCLE,TX,7/16/2000 2:30 +Mananita,GREEN,SPHERE,CA,7/16/2000 4:30 +Issaquah,,VARIOUS,WA,7/16/2000 9:00 +Auburn,,DISK,WA,7/16/2000 18:05 +Wenatchee,,,WA,7/16/2000 20:00 +Ridgecrest,,LIGHT,CA,7/16/2000 21:58 +Wenatchee,,,WA,7/16/2000 22:00 +Rockford,,OVAL,IN,7/16/2000 22:50 +Silverdale,,FIREBALL,WA,7/17/2000 20:50 +Lake City,,LIGHT,CA,7/17/2000 22:30 +Cedar Rapids,,TRIANGLE,IA,7/17/2000 22:40 +Woodinville,RED,DISK,WA,7/17/2000 23:52 +Elk City,,CIGAR,OK,7/18/2000 9:20 +Elk City,,DISK,OK,7/18/2000 9:20 +Huntsville,,CIRCLE,AL,7/18/2000 11:35 +Marysville,,DISK,CA,7/18/2000 18:30 +Twin Falls,,SPHERE,ID,7/18/2000 23:10 +El Paso,,SPHERE,TX,7/19/2000 13:00 +Cleveland,,CIRCLE,OH,7/19/2000 17:00 +Venice,,CIGAR,CA,7/19/2000 19:00 +Dana,BLUE,CIRCLE,IL,7/19/2000 21:38 +Fort Hood,,LIGHT,TX,7/19/2000 22:35 +Boise,,CIRCLE,ID,7/19/2000 23:30 +Franklin,,DISK,PA,7/20/2000 1:26 +Marshfield,,LIGHT,VT,7/20/2000 1:30 +South Padre Island,,OVAL,TX,7/20/2000 21:00 +Deming,,,NM,7/20/2000 21:30 +Wallingford,,LIGHT,CT,7/20/2000 21:30 +Darien,,LIGHT,IL,7/20/2000 22:00 +Highlands Ranch,RED,LIGHT,CO,7/20/2000 22:00 +Watertown,YELLOW,TRIANGLE,CT,7/20/2000 22:55 +Trumansburg,,LIGHT,NY,7/20/2000 23:00 +Ocean Parkway,RED,CHEVRON,NY,7/20/2000 23:30 +Nothridge,,OTHER,CA,7/21/2000 12:10 +Chula Vista,,OTHER,CA,7/21/2000 18:00 +na,,TRIANGLE,NC,7/21/2000 18:15 +North Judson,,LIGHT,IN,7/21/2000 21:57 +Corona,,LIGHT,CA,7/21/2000 22:00 +Riggins,,FIREBALL,ID,7/21/2000 22:10 +Ogallala,,OTHER,NE,7/22/2000 1:30 +Petrified Forest National Park,,OTHER,AZ,7/22/2000 12:00 +Pittsburgh,,LIGHT,PA,7/22/2000 18:30 +Westminster,,OTHER,CO,7/22/2000 19:15 +Lavon,,FIREBALL,TX,7/22/2000 21:50 +La Crosse,,LIGHT,WI,7/22/2000 22:45 +Valley Stream,,EGG,NY,7/23/2000 15:00 +Everett,,,WA,7/23/2000 16:05 +New York City,,OTHER,NY,7/23/2000 18:00 +Vallejo,,CIGAR,CA,7/23/2000 18:02 +West Seneca,,LIGHT,NY,7/23/2000 18:30 +LeGrange,,,WI,7/23/2000 21:50 +Columbus,,LIGHT,OH,7/23/2000 23:30 +New York City,,,NY,7/24/2000 0:00 +Milwaukee,RED,FORMATION,WI,7/24/2000 10:00 +Antioch,,DISK,CA,7/24/2000 11:50 +Overcup,,TRIANGLE,AR,7/24/2000 21:30 +Fire Island,ORANGE,CIRCLE,NY,7/24/2000 23:00 +Vancouver,,LIGHT,WA,7/24/2000 23:30 +Chandler,RED,LIGHT,AZ,7/25/2000 20:15 +Gilbert,RED,CIRCLE,AZ,7/25/2000 20:15 +Gilbert,,LIGHT,AZ,7/25/2000 20:15 +Gilbert,RED,LIGHT,AZ,7/25/2000 20:40 +Gilbert,RED,,AZ,7/25/2000 20:50 +Holbrook,,TRIANGLE,AZ,7/25/2000 21:00 +Glendale,RED,CIRCLE,CA,7/25/2000 21:20 +Las Vegas,,LIGHT,NV,7/25/2000 21:30 +San Diego,RED,FIREBALL,CA,7/25/2000 21:30 +San Diego,RED,,CA,7/25/2000 21:45 +Klamath Falls,,LIGHT,OR,7/25/2000 21:57 +San Diego,RED,LIGHT,CA,7/25/2000 22:00 +Sturgeon Bay,,LIGHT,WI,7/25/2000 22:23 +Sturgeon Bay,,OTHER,WI,7/25/2000 22:23 +Waterford,,SPHERE,MI,7/25/2000 23:37 +Smithville,,,TX,7/26/2000 23:10 +Fulshear,,FIREBALL,TX,7/26/2000 23:15 +Brenham,RED BLUE,LIGHT,TX,7/26/2000 23:20 +Iola,,,TX,7/26/2000 23:30 +Portland,RED ORANGE,LIGHT,OR,7/27/2000 3:35 +Gilbert,RED,CIRCLE,AZ,7/27/2000 20:12 +Chandler,,OVAL,AZ,7/27/2000 20:13 +Gilbert,RED,LIGHT,AZ,7/27/2000 20:15 +Bouse,,LIGHT,AZ,7/27/2000 21:37 +Bouse,,LIGHT,AZ,7/27/2000 21:58 +Bouse,,LIGHT,AZ,7/27/2000 21:58 +Redmond,,LIGHT,WA,7/27/2000 22:05 +Sandy,,TRIANGLE,UT,7/27/2000 22:48 +Tonopah,,EGG,AZ,7/28/2000 1:50 +Two Guns,BLUE,FIREBALL,AZ,7/28/2000 3:15 +Tyler,,SPHERE,TX,7/28/2000 5:30 +Woodinville,,CHEVRON,WA,7/28/2000 22:30 +Rochester,GREEN,OTHER,NY,7/29/2000 0:00 +Amite,,LIGHT,LA,7/29/2000 22:00 +Bonham,,LIGHT,TX,7/29/2000 23:00 +Nags Head,,FORMATION,NC,7/29/2000 23:15 +Bellingham,,VARIOUS,WA,7/29/2000 23:30 +Nags Head,,LIGHT,NC,7/30/2000 1:30 +Ithaca,,TEARDROP,NY,7/30/2000 20:20 +Bellingham,,LIGHT,WA,7/30/2000 21:25 +Columbus,,LIGHT,OH,7/30/2000 22:00 +Chandler,GREEN,CIGAR,AZ,7/30/2000 22:40 +Deer Lake,GREEN,,WA,7/30/2000 22:45 +Ashland,,DISK,OR,7/30/2000 23:38 +Fortuna,,FIREBALL,CA,7/31/2000 3:20 +Kirkland,,,WA,7/31/2000 9:20 +Portland,,FIREBALL,OR,7/31/2000 9:23 +Snohomish,,FIREBALL,WA,7/31/2000 9:35 +Kent,BLUE,OTHER,WA,7/31/2000 12:05 +Hopewell,,FIREBALL,VA,7/31/2000 21:00 +Hopewell,,FIREBALL,VA,7/31/2000 22:00 +Crescent Bar,,FIREBALL,WA,7/31/2000 23:00 +Flinn Springs,,TRIANGLE,CA,7/31/2000 23:06 +Hingham,,TRIANGLE,MA,8/1/2000 2:00 +River Falls,,LIGHT,WI,8/1/2000 2:00 +Seattle,,LIGHT,WA,8/1/2000 2:17 +Bellevue,,TRIANGLE,WA,8/1/2000 7:30 +Federal Way,,DISK,WA,8/1/2000 12:00 +Roslindale,,VARIOUS,MA,8/1/2000 12:00 +Turkey,,CIRCLE,TX,8/1/2000 13:00 +Los Angeles,,TRIANGLE,CA,8/1/2000 18:00 +Argos,,LIGHT,IN,8/1/2000 21:00 +Springfield,,OVAL,MO,8/1/2000 21:25 +Auburn,,LIGHT,WA,8/1/2000 22:00 +Erie,,RECTANGLE,PA,8/1/2000 22:55 +Campo,,VARIOUS,CA,8/1/2000 23:00 +Key Peninsula,RED,LIGHT,WA,8/2/2000 21:30 +Long Beach,,LIGHT,NC,8/2/2000 21:30 +Kirkland,,DISK,WA,8/3/2000 11:15 +Vancouver,,DISK,WA,8/3/2000 12:25 +Georgia,,DISK,GA,8/3/2000 14:30 +Libby,BLUE,DISK,MT,8/3/2000 19:20 +Chandler,RED,CIRCLE,AZ,8/3/2000 21:00 +Surprise,RED,LIGHT,AZ,8/3/2000 21:00 +Chatsworth,,,CA,8/3/2000 22:00 +Pierceton,,OTHER,IN,8/3/2000 22:00 +Valley City,GREEN,FLASH,OH,8/3/2000 22:27 +Bridgeport,GREEN,CIRCLE,MI,8/3/2000 22:30 +Las Vegas,,FIREBALL,NV,8/3/2000 22:30 +Marathon Key,,SPHERE,FL,8/3/2000 23:00 +Red Bluff,,CYLINDER,CA,8/3/2000 23:30 +Springbrook,RED,LIGHT,WI,8/4/2000 3:00 +Diamond Bar,ORANGE,CIRCLE,CA,8/4/2000 9:15 +Santa Monica,,TRIANGLE,CA,8/4/2000 9:30 +Renton,,FORMATION,WA,8/4/2000 11:45 +Gilbert,RED,,AZ,8/4/2000 19:52 +Chandler,RED,OVAL,AZ,8/4/2000 20:00 +Gilbert,RED,LIGHT,AZ,8/4/2000 20:00 +Gilbert,RED,LIGHT,AZ,8/4/2000 20:10 +Gilbert,RED,SPHERE,AZ,8/4/2000 20:20 +Indianapolis,,FLASH,IN,8/4/2000 20:30 +Tupper Lake,,CIGAR,NY,8/4/2000 22:00 +Shoreline,,LIGHT,WA,8/4/2000 22:04 +Tacoma,,LIGHT,WA,8/4/2000 23:00 +Trout Lake,,FORMATION,WA,8/4/2000 23:51 +Bothell,,OTHER,WA,8/5/2000 1:30 +White Sands,,CIRCLE,NM,8/5/2000 7:30 +Wayne,,SPHERE,NJ,8/5/2000 17:00 +Phoenix,,CIRCLE,AZ,8/5/2000 20:35 +On the Mass Pike: Rt. 90,,FORMATION,MA,8/5/2000 21:30 +Lake Havasu City,ORANGE,CONE,AZ,8/5/2000 21:43 +Bellingham,,TRIANGLE,WA,8/5/2000 22:00 +Fontana,,CIRCLE,CA,8/5/2000 22:00 +Concord,,LIGHT,NH,8/5/2000 22:05 +Maple Falls,,FORMATION,WA,8/5/2000 23:30 +LeSueur,,LIGHT,MN,8/5/2000 23:55 +Las Vegas,RED,FORMATION,NV,8/6/2000 0:30 +Portland,,OTHER,OR,8/6/2000 18:00 +Pottsburo,,LIGHT,TX,8/6/2000 20:00 +Portland,,LIGHT,OR,8/6/2000 21:13 +Fresno,,LIGHT,CA,8/6/2000 21:30 +Florence,,LIGHT,OR,8/6/2000 23:00 +Twin Falls,,FIREBALL,ID,8/6/2000 23:59 +Arizona,,,AZ,8/7/2000 4:20 +Molalla,,DISK,OR,8/7/2000 12:45 +American Falls,BLUE,DISK,IL,8/7/2000 17:00 +Katy,RED,OVAL,TX,8/7/2000 21:00 +Malone,,CIRCLE,NY,8/7/2000 22:10 +Placerville,,,CA,8/8/2000 3:40 +Hillsboro,,SPHERE,NJ,8/8/2000 17:30 +Hillsborough,,SPHERE,NJ,8/8/2000 17:30 +New York City,,VARIOUS,NY,8/8/2000 19:00 +La Pine,,DISK,OR,8/8/2000 19:35 +Garden City,,LIGHT,SC,8/8/2000 22:00 +Canton,,DISK,NY,8/8/2000 22:15 +Shorewood,,SPHERE,MN,8/8/2000 22:25 +Arnold,,LIGHT,MO,8/8/2000 23:41 +Uniondale,,FIREBALL,NY,8/9/2000 0:15 +Albuquerque,,CIRCLE,NM,8/9/2000 12:48 +Lawrence,,OTHER,KS,8/9/2000 13:30 +Culver City,,LIGHT,CA,8/9/2000 21:48 +Houston County,,SPHERE,TN,8/9/2000 21:50 +Starkville,GREEN,FIREBALL,MS,8/9/2000 22:00 +Victorville,,FIREBALL,CA,8/9/2000 23:30 +Lake Tawakoni,,,TX,8/9/2000 23:50 +Waltham,,OTHER,MA,8/10/2000 10:15 +Jacksonville,,LIGHT,FL,8/10/2000 21:30 +Long Lake,,FORMATION,NY,8/10/2000 21:45 +Elkton,,VARIOUS,OR,8/10/2000 22:00 +Indian Lake,,FORMATION,NY,8/10/2000 22:00 +Redfield,,FORMATION,NY,8/10/2000 22:05 +Lakewood,,LIGHT,CO,8/10/2000 22:18 +Maybrook,,OTHER,NY,8/10/2000 22:30 +West Danville,,LIGHT,VT,8/10/2000 22:30 +Ft. Worth,,CONE,TX,8/10/2000 23:00 +Flippin,,CIRCLE,AR,8/11/2000 1:30 +Wakefield,,OTHER,MA,8/11/2000 2:00 +Allegan,,FORMATION,MI,8/11/2000 4:30 +Torrance,,SPHERE,CA,8/11/2000 10:30 +Arlington,,TRIANGLE,WA,8/11/2000 12:00 +Lakeland,,CIGAR,FL,8/11/2000 18:45 +Franklin,,FORMATION,TN,8/11/2000 21:00 +Fresno,,RECTANGLE,CA,8/11/2000 21:30 +Portland,,,OR,8/11/2000 21:45 +Mammoth Cave National Park,,FORMATION,KY,8/11/2000 22:40 +Covina,RED,LIGHT,CA,8/11/2000 23:00 +Fort Collins,,OTHER,CO,8/11/2000 23:00 +Portland,,OTHER,OR,8/12/2000 1:30 +El Cajon,,CIRCLE,CA,8/12/2000 17:00 +Chandler,RED,DISK,AZ,8/12/2000 19:57 +Chandler,,LIGHT,AZ,8/12/2000 20:15 +Chandler,,OTHER,AZ,8/12/2000 20:15 +Chandler,,OTHER,AZ,8/12/2000 20:20 +Wallingford,,TRIANGLE,CT,8/12/2000 20:45 +Gilbert,,LIGHT,AZ,8/12/2000 21:10 +Ann Arbor,,OVAL,MI,8/12/2000 22:00 +Derby,,TRIANGLE,KS,8/12/2000 22:00 +Los Angeles,,LIGHT,CA,8/12/2000 23:48 +Bothell,,RECTANGLE,WA,8/13/2000 0:00 +Dana Point,,LIGHT,CA,8/13/2000 2:15 +Calistoga,,TRIANGLE,CA,8/13/2000 10:15 +Los Angeles,,DISK,CA,8/13/2000 11:30 +Big Horn Mtns,,FIREBALL,WY,8/13/2000 20:00 +Duncan,,,OK,8/13/2000 21:15 +Buffalo,,LIGHT,NY,8/13/2000 22:00 +Corte Madera,,FIREBALL,CA,8/13/2000 22:00 +Nevada City,RED GREEN BLUE,VARIOUS,CA,8/13/2000 23:30 +Nevada City,RED GREEN BLUE,SPHERE,CA,8/14/2000 1:30 +Denver,,TRIANGLE,CO,8/14/2000 4:45 +St. Petersburg,RED,SPHERE,FL,8/14/2000 18:45 +Luna,,RECTANGLE,LA,8/14/2000 19:30 +Smithville,,CIRCLE,TX,8/15/2000 0:40 +Liberty,,LIGHT,WA,8/15/2000 1:30 +Ringgold,,TRIANGLE,GA,8/15/2000 1:50 +West Tisbury,,CIRCLE,MA,8/15/2000 9:00 +Noxapater,,CONE,MS,8/15/2000 10:15 +Portland,,SPHERE,OR,8/15/2000 15:05 +Beaumont,,,TX,8/15/2000 17:00 +East Petersburg,BLUE,CIRCLE,PA,8/15/2000 18:30 +Chandler,RED,LIGHT,AZ,8/15/2000 20:00 +Gilbert,RED,,AZ,8/15/2000 20:00 +Gilbert,RED,LIGHT,AZ,8/15/2000 20:00 +Mesa,RED,CIRCLE,AZ,8/15/2000 20:05 +Phoenix,RED ORANGE,LIGHT,AZ,8/15/2000 20:05 +Gilbert,RED,LIGHT,AZ,8/15/2000 20:10 +Chandler,RED,LIGHT,AZ,8/15/2000 20:14 +Chandler,,CIRCLE,AZ,8/15/2000 20:15 +Gilbert,RED,LIGHT,AZ,8/15/2000 20:15 +Tyler,,TRIANGLE,TX,8/15/2000 20:15 +Chandler,,LIGHT,AZ,8/15/2000 20:20 +Burke,,CIRCLE,VA,8/15/2000 21:00 +Little Rock,,DISK,AR,8/15/2000 21:02 +Gilbert,,LIGHT,AZ,8/15/2000 21:20 +Grand Prairie,,FIREBALL,TX,8/15/2000 21:30 +Dallas,,CIGAR,TX,8/15/2000 21:44 +Newbury Park,,DISK,CA,8/15/2000 22:00 +Presque Isle,,LIGHT,ME,8/15/2000 22:30 +Mackinaw,,VARIOUS,MI,8/15/2000 23:00 +Wapakoneta,BLUE,CONE,OH,8/15/2000 23:00 +Fort Lauderdale,,LIGHT,FL,8/16/2000 0:00 +Portland,RED,OTHER,OR,8/16/2000 2:45 +Sebastopol,,SPHERE,CA,8/16/2000 11:30 +Salt Lake City,,FIREBALL,UT,8/16/2000 22:42 +Grantsville,,FIREBALL,UT,8/16/2000 22:50 +Yorba Linda,,OTHER,CA,8/16/2000 23:10 +Redding,RED,,CA,8/17/2000 3:00 +NJ Turnpike,,SPHERE,NJ,8/17/2000 10:24 +Millis,,CIRCLE,MA,8/17/2000 23:50 +Yreka,,DIAMOND,CA,8/18/2000 4:08 +Sun Prairie,,FORMATION,WI,8/18/2000 6:00 +Prairie Grove,,CIGAR,AR,8/18/2000 20:00 +Zortman,,OTHER,MT,8/18/2000 20:00 +Warrington,,CHEVRON,FL,8/18/2000 20:15 +Chickamauga,,LIGHT,GA,8/18/2000 20:30 +Dupo,,DIAMOND,IL,8/18/2000 21:00 +Gerlach,,,NV,8/18/2000 21:00 +West Covina,RED,DISK,CA,8/18/2000 22:08 +Gerlach,,OTHER,NV,8/18/2000 22:51 +Newcastle,GREEN,FIREBALL,CA,8/18/2000 23:23 +San Diego,,CIRCLE,CA,8/19/2000 1:27 +Roslyn,,,WA,8/19/2000 5:10 +Wildomar,,DISK,CA,8/19/2000 8:30 +Sedona,,SPHERE,AZ,8/19/2000 16:00 +West Seneca,,EGG,NY,8/19/2000 18:45 +Gay Head,RED,CIRCLE,MA,8/19/2000 22:00 +San Francisco,GREEN,TRIANGLE,CA,8/19/2000 22:15 +Lake Havasu,,OTHER,AZ,8/19/2000 23:00 +Santa Fe,,LIGHT,NM,8/20/2000 5:30 +Fairfield,RED,CYLINDER,TX,8/20/2000 6:00 +Bellevue,,TEARDROP,NE,8/20/2000 8:00 +Palm Beach Gardens,,VARIOUS,FL,8/20/2000 9:35 +Troy,,DIAMOND,MO,8/20/2000 11:00 +Oceanside,,DISK,CA,8/20/2000 15:00 +Palm Springs,,OVAL,CA,8/20/2000 15:00 +Dickson City,,CYLINDER,PA,8/20/2000 15:01 +Russellville,,LIGHT,AR,8/20/2000 19:00 +White Bear Lake,,,MN,8/20/2000 21:00 +Pottstown,,DISK,PA,8/20/2000 22:00 +Maybrook,,OTHER,NY,8/20/2000 22:30 +Middletown,,OTHER,NY,8/20/2000 22:30 +New York City,,LIGHT,NY,8/20/2000 23:00 +New York City,,LIGHT,NY,8/20/2000 23:00 +Placerville,ORANGE,,CA,8/20/2000 23:05 +Fayetteville,,,NC,8/21/2000 0:00 +Blaine,,VARIOUS,MN,8/21/2000 1:38 +Seattle,,LIGHT,WA,8/21/2000 5:15 +Olympia,,,WA,8/21/2000 13:15 +Mt. Juliet,,CYLINDER,TN,8/21/2000 19:35 +Eatontown,,,NJ,8/21/2000 20:30 +Camas,,SPHERE,WA,8/21/2000 21:20 +Camas,RED,TRIANGLE,WA,8/21/2000 21:45 +Whitefish,,FIREBALL,MT,8/21/2000 21:45 +Federal Way,,OTHER,WA,8/21/2000 22:50 +Marion,,,VA,8/22/2000 21:30 +Seattle,,,WA,8/22/2000 21:30 +Martinsville,,,VA,8/22/2000 21:45 +Wabasha,,FLASH,MN,8/22/2000 21:45 +Kalispell,,,MT,8/23/2000 0:00 +Vail,BLUE,FLASH,AZ,8/23/2000 2:17 +Duluth,,FORMATION,MN,8/23/2000 18:30 +Bouse,,LIGHT,AZ,8/23/2000 19:49 +Albion,,FORMATION,IN,8/23/2000 22:00 +Casa Grande,,TRIANGLE,AZ,8/23/2000 22:42 +Londonderry,,OVAL,NH,8/24/2000 11:00 +Adams,,LIGHT,NY,8/24/2000 22:14 +Bow,,FIREBALL,WA,8/24/2000 23:20 +Waverly,RED YELLOW,LIGHT,KY,8/25/2000 5:03 +Bothell,,OTHER,WA,8/25/2000 21:00 +Hopkinton,,LIGHT,RI,8/25/2000 21:05 +Las Vegas,,FLASH,NV,8/25/2000 22:00 +Lewiston,RED GREEN,CIRCLE,ME,8/25/2000 22:30 +Loveland,ORANGE,DISK,CO,8/25/2000 23:00 +Walnut Hill,,TRIANGLE,IL,8/25/2000 23:10 +Pasadena,RED,DISK,CA,8/26/2000 9:30 +San Diego,,LIGHT,CA,8/26/2000 21:05 +San Diego,RED,TRIANGLE,CA,8/26/2000 21:30 +San Diego,,CIRCLE,CA,8/26/2000 21:50 +San Diego,RED,FIREBALL,CA,8/26/2000 22:00 +Trout Creek Recreation,,LIGHT,OR,8/26/2000 22:00 +Fairfield,RED YELLOW,LIGHT,CA,8/26/2000 23:30 +Goverment Camp,ORANGE,LIGHT,OR,8/26/2000 23:30 +Middletown,YELLOW,OTHER,CA,8/27/2000 17:00 +Carbondale,,LIGHT,IL,8/27/2000 20:45 +Eugene,,VARIOUS,OR,8/27/2000 23:00 +Lenexa,ORANGE,LIGHT,KS,8/28/2000 22:15 +Claremore,,,OK,8/29/2000 20:00 +Streetsboro,,LIGHT,OH,8/29/2000 23:31 +Everett,YELLOW,LIGHT,WA,8/30/2000 1:30 +Troy,,LIGHT,OH,8/30/2000 21:10 +Columbia Heights,RED,OTHER,MN,8/31/2000 20:43 +Bouse,,LIGHT,AZ,8/31/2000 21:15 +Aquebogue,,LIGHT,NY,8/31/2000 21:30 +Madisonville,,DISK,KY,8/31/2000 22:00 +Channing,,VARIOUS,TX,9/1/2000 2:00 +Cameron Park,,EGG,CA,9/1/2000 2:30 +Pottsboro,,OTHER,TX,9/1/2000 8:00 +Albuquerque,,DIAMOND,NM,9/1/2000 17:00 +Union,,OTHER,MO,9/1/2000 18:00 +Attleboro,,CIRCLE,MA,9/1/2000 20:45 +Post,BLUE,LIGHT,TX,9/1/2000 21:00 +Joshua,,TRIANGLE,TX,9/1/2000 21:30 +Oakland,,CYLINDER,CA,9/1/2000 21:35 +Pipestone,,TRIANGLE,MN,9/1/2000 22:00 +Sedona,,FIREBALL,AZ,9/1/2000 22:00 +South Bend,,TRIANGLE,IN,9/1/2000 22:00 +Tempe,,FLASH,AZ,9/1/2000 22:00 +South County,,OTHER,RI,9/1/2000 22:35 +Orchard Park,,OTHER,NY,9/1/2000 23:12 +Indiana,,,IN,9/2/2000 1:00 +La Jolla,,DISK,CA,9/2/2000 3:25 +Seattle,BLUE,CIGAR,WA,9/2/2000 4:00 +Tempe,,CIRCLE,AZ,9/2/2000 4:14 +Hebron,,LIGHT,OH,9/2/2000 14:00 +Seattle,,OTHER,WA,9/2/2000 21:00 +Orem,,OTHER,UT,9/2/2000 21:30 +Miami,,DISK,OK,9/2/2000 22:20 +Hooper,,DISK,CO,9/3/2000 1:30 +Erie,,FIREBALL,PA,9/3/2000 2:15 +Chandler,YELLOW GREEN BLUE,OTHER,AZ,9/3/2000 11:00 +West Covina,,VARIOUS,CA,9/3/2000 19:00 +Westlake Village,RED GREEN BLUE,LIGHT,CA,9/4/2000 3:45 +Hanson,,LIGHT,MA,9/5/2000 21:00 +Redding,RED,TRIANGLE,CA,9/5/2000 21:25 +Linthicum Heights,,LIGHT,MD,9/5/2000 21:37 +West Leipsic,,LIGHT,OH,9/6/2000 2:40 +Hampton Beach,,CIRCLE,NH,9/6/2000 15:00 +Tacoma,,FIREBALL,WA,9/6/2000 19:15 +Williamsville,,LIGHT,NY,9/6/2000 22:00 +Peebles,,FIREBALL,OH,9/6/2000 22:32 +Laguna Hills,,LIGHT,CA,9/6/2000 22:55 +Yuma,,CIRCLE,AZ,9/7/2000 1:30 +Glendale,,TRIANGLE,AZ,9/7/2000 20:00 +Syracuse,,TRIANGLE,NY,9/7/2000 20:30 +Benton,,LIGHT,KY,9/7/2000 21:20 +Longmont,,FIREBALL,CO,9/7/2000 23:42 +Greesnboro,,,NC,9/8/2000 3:25 +Houston,,CYLINDER,TX,9/8/2000 6:15 +New York City,,RECTANGLE,NY,9/8/2000 12:30 +New York City,,RECTANGLE,NY,9/8/2000 12:30 +Fall River,,SPHERE,MA,9/8/2000 14:00 +Walla Walla,,CIGAR,WA,9/8/2000 15:30 +George West,,FLASH,TX,9/8/2000 20:30 +Reading,,FLASH,PA,9/9/2000 2:30 +Mechanicsburg,BLUE,FIREBALL,PA,9/9/2000 3:00 +Coatesville,,LIGHT,PA,9/9/2000 3:30 +Gardiner,,LIGHT,MT,9/9/2000 3:30 +Mount Laurel,,FIREBALL,NJ,9/9/2000 3:30 +Philadelphia,,VARIOUS,PA,9/9/2000 3:30 +Alamogordo,,DISK,NM,9/9/2000 20:30 +Hermitage,,TRIANGLE,PA,9/9/2000 21:30 +White Oak,,FIREBALL,MS,9/9/2000 21:30 +Johannesburg,ORANGE,FIREBALL,MI,9/9/2000 22:15 +Dahlonega,,VARIOUS,GA,9/9/2000 22:30 +Roswell,,,NM,9/10/2000 1:11 +Great Sand Dunes National Monument,,CIRCLE,CO,9/10/2000 14:45 +Geneva,,LIGHT,NE,9/10/2000 18:30 +Chicago,,OTHER,IL,9/10/2000 19:10 +Edmond,,LIGHT,OK,9/10/2000 20:30 +Denver,,TRIANGLE,CO,9/10/2000 21:00 +Hermantown,,TRIANGLE,MN,9/10/2000 21:10 +Patuxent River,,LIGHT,MD,9/10/2000 22:00 +Eldorado,,EGG,AR,9/10/2000 23:00 +Peoria,,FORMATION,IL,9/11/2000 0:30 +Peoria,,FORMATION,IL,9/11/2000 0:30 +Charleston,,TRIANGLE,MO,9/11/2000 1:17 +Ashland,,OTHER,KY,9/11/2000 20:15 +Colorado Springs,,OTHER,CO,9/11/2000 21:00 +Indianapolis,,SPHERE,IN,9/11/2000 23:17 +Jasper,,CIRCLE,FL,9/12/2000 1:55 +Catawissa,,,PA,9/12/2000 2:30 +Gold Bar,,TRIANGLE,WA,9/12/2000 7:50 +Walnut,,SPHERE,CA,9/12/2000 14:30 +Lordsburg,,VARIOUS,NM,9/12/2000 17:00 +San Antonio,,OTHER,TX,9/12/2000 19:30 +Raymore,,LIGHT,MO,9/12/2000 23:30 +Bozeman,,OTHER,MT,9/13/2000 0:04 +Leesburg,,RECTANGLE,VA,9/13/2000 5:55 +Toledo,,SPHERE,OH,9/13/2000 13:00 +Everett,,FORMATION,WA,9/13/2000 17:00 +Hagerstown to Sidling hill cut,,LIGHT,MD,9/13/2000 19:00 +Florissant,,FLASH,CO,9/13/2000 19:30 +Sikeston,,CIGAR,MO,9/13/2000 20:10 +Dayton,,TRIANGLE,OH,9/13/2000 21:00 +Williamsville,RED GREEN,LIGHT,NY,9/13/2000 21:00 +Minden,,OVAL,NE,9/13/2000 22:00 +Goshen,,,VT,9/14/2000 1:30 +Augusta,,CONE,GA,9/14/2000 2:00 +Houston,,CYLINDER,TX,9/14/2000 7:51 +Vancouver,,EGG,WA,9/14/2000 8:10 +Santa Monica,,DIAMOND,CA,9/14/2000 19:30 +Steens Mountains,RED,,OR,9/14/2000 20:00 +Homewood,,EGG,AL,9/14/2000 21:00 +Portland,,TRIANGLE,OR,9/14/2000 21:00 +Des Moines,,LIGHT,IA,9/14/2000 21:15 +Toledo,,TRIANGLE,OH,9/15/2000 0:00 +Greensville,,DISK,MS,9/15/2000 1:30 +Lakewood,,DISK,NJ,9/15/2000 1:30 +Duncan,BLUE,OTHER,OK,9/15/2000 2:00 +Harrington,,RECTANGLE,WA,9/15/2000 2:30 +Merritt Island,RED,TRIANGLE,FL,9/15/2000 6:15 +Tupelo,,DISK,MS,9/15/2000 8:00 +Eugene,,OTHER,OR,9/15/2000 14:00 +Stuart,,EGG,FL,9/15/2000 15:00 +Belfield,,DISK,ND,9/15/2000 19:00 +Glenwood,,TRIANGLE,IL,9/15/2000 19:00 +Granite Falls,,,WA,9/15/2000 19:00 +Studio City,,LIGHT,CA,9/15/2000 19:00 +Canton,,DISK,MI,9/15/2000 19:06 +Wister,,TRIANGLE,OK,9/15/2000 19:45 +Niota,,FLASH,IL,9/15/2000 20:00 +Berkeley,ORANGE,DISK,CA,9/15/2000 20:19 +Plant City,,OVAL,FL,9/15/2000 20:30 +Ruidsoso,,LIGHT,NM,9/15/2000 20:37 +Ozark,,LIGHT,AL,9/15/2000 21:00 +Laurel,,CIRCLE,MD,9/15/2000 21:13 +East Springfield,,LIGHT,PA,9/15/2000 21:30 +Pinos Altos,ORANGE,CIRCLE,NM,9/15/2000 22:00 +Idaho Falls,,CHEVRON,ID,9/15/2000 22:45 +Vancouver,,LIGHT,WA,9/15/2000 22:50 +Selden,,CIRCLE,NY,9/16/2000 0:45 +Portland,,,ME,9/16/2000 1:00 +Martinsburg,,TRIANGLE,WV,9/16/2000 7:12 +New York City,,FORMATION,NY,9/16/2000 15:30 +San Francisco,,SPHERE,CA,9/16/2000 17:30 +Fort Wayne,,CIGAR,IN,9/16/2000 17:54 +Wilmington,,TRIANGLE,DE,9/16/2000 19:00 +Laughlin,,FORMATION,NV,9/16/2000 22:00 +Owensboro,RED,CIRCLE,KY,9/16/2000 23:30 +Cleveland,,CIGAR,OH,9/17/2000 16:00 +San Francisco,YELLOW,CHEVRON,CA,9/17/2000 16:00 +San Francisco,,LIGHT,CA,9/17/2000 16:00 +San Francisco,,LIGHT,CA,9/17/2000 16:30 +Kennewick,,CHEVRON,WA,9/17/2000 20:20 +Opelousas,,CHEVRON,LA,9/17/2000 20:55 +Mountain View,,FIREBALL,CA,9/17/2000 21:40 +Allentown,,DISK,PA,9/18/2000 8:00 +San Diego,,OVAL,CA,9/18/2000 18:30 +Cullman,,LIGHT,AL,9/18/2000 19:00 +St. James City,,VARIOUS,FL,9/18/2000 20:00 +Pueblo,YELLOW,SPHERE,CO,9/18/2000 21:00 +Redding,,FLASH,CA,9/18/2000 21:10 +San Saba,,LIGHT,TX,9/18/2000 22:00 +Westville,,LIGHT,OK,9/18/2000 23:00 +San Diego,,OVAL,CA,9/18/2000 23:30 +Dodge City,YELLOW,SPHERE,KS,9/19/2000 3:00 +Fairfield,,FIREBALL,CA,9/19/2000 4:20 +Sherman Oaks,,OTHER,CA,9/19/2000 9:30 +Houston,,SPHERE,TX,9/19/2000 11:50 +Buckley,,TRIANGLE,WA,9/19/2000 12:00 +Girard,,CIRCLE,OH,9/19/2000 12:15 +Pueblo,,TRIANGLE,CO,9/19/2000 19:00 +Radcliff,,LIGHT,KY,9/19/2000 19:30 +Conneaut,,LIGHT,OH,9/19/2000 20:05 +Ravenna,,FORMATION,OH,9/19/2000 20:30 +Duluth,,LIGHT,GA,9/19/2000 21:05 +Madera,,LIGHT,CA,9/19/2000 21:05 +Camas,,FIREBALL,WA,9/19/2000 21:30 +Chandler,,FLASH,AZ,9/19/2000 23:00 +Scottsdale,,FLASH,AZ,9/19/2000 23:00 +El Dorado Hills,,CIRCLE,CA,9/20/2000 4:15 +Kirkland,,OTHER,WA,9/20/2000 17:28 +North Bergen,,TRIANGLE,NJ,9/20/2000 18:00 +Phoenix,,TRIANGLE,AZ,9/20/2000 21:00 +Maybrook,,OTHER,NY,9/20/2000 22:30 +Marshall,,TRIANGLE,MN,9/20/2000 22:57 +Dent,RED GREEN,LIGHT,MN,9/21/2000 4:00 +Columbiana,BLUE,,OH,9/21/2000 6:50 +Columbiana,BLUE,CIRCLE,OH,9/21/2000 10:50 +Portland,ORANGE,CIRCLE,TN,9/21/2000 13:30 +Chatfield,,OVAL,TX,9/21/2000 19:25 +Chatfield,,DISK,TX,9/21/2000 19:30 +Cushing,,FIREBALL,TX,9/21/2000 21:00 +Glenn Ellyn,,OVAL,IL,9/21/2000 21:25 +San Jose,,OVAL,CA,9/21/2000 23:00 +Defiance,,OTHER,OH,9/22/2000 0:30 +Stanton,,DISK,MI,9/22/2000 7:38 +Louisville,,TEARDROP,KY,9/22/2000 7:50 +Yucca Valley,,CYLINDER,CA,9/22/2000 11:00 +Cinnaminson,RED,FIREBALL,NJ,9/22/2000 15:00 +Camp Springs,,CIRCLE,MD,9/22/2000 15:15 +Flagstaff,,OTHER,AZ,9/22/2000 19:41 +Tacoma,,DISK,WA,9/22/2000 22:49 +White City,,CIRCLE,OR,9/22/2000 23:00 +Bradenton,,EGG,FL,9/22/2000 23:30 +Simsbury,,CHEVRON,CT,9/22/2000 23:59 +Glendale,,TRIANGLE,AZ,9/23/2000 0:30 +Fremont,,TRIANGLE,CA,9/23/2000 5:00 +Auburn,,LIGHT,WA,9/23/2000 19:30 +Rosemount,,TRIANGLE,MN,9/23/2000 20:25 +Sandy,,TRIANGLE,UT,9/23/2000 20:53 +Camp Verde,,,AZ,9/24/2000 6:15 +Saint Paul,,DISK,MN,9/24/2000 9:00 +Victor,,CYLINDER,CO,9/24/2000 20:15 +Everett,,LIGHT,WA,9/24/2000 20:40 +West Palm Beach,,LIGHT,FL,9/24/2000 23:12 +Ames,,FLASH,IA,9/24/2000 23:25 +Bridgewater,,OTHER,NJ,9/24/2000 23:45 +Palatine,,CIRCLE,IL,9/25/2000 17:00 +Glendale,,OVAL,CA,9/25/2000 17:30 +Albuquerque,,LIGHT,NM,9/25/2000 19:30 +Fairfield,,CIRCLE,CA,9/25/2000 19:30 +Maunaloa,RED,CHEVRON,HI,9/25/2000 20:12 +Shoreline,,TRIANGLE,WA,9/25/2000 20:15 +The Woodlands,,CHEVRON,TX,9/26/2000 3:30 +Jordan,BLUE,CIGAR,MN,9/26/2000 13:00 +Capistrano Beach,BLUE,FIREBALL,CA,9/26/2000 20:00 +Palm Springs,GREEN,FIREBALL,CA,9/26/2000 20:13 +Mission Viejo,,FIREBALL,CA,9/26/2000 20:15 +Tucson,GREEN,FIREBALL,AZ,9/26/2000 20:30 +Edmonds,,FLASH,WA,9/26/2000 21:00 +Kerrywood,,FLASH,ID,9/26/2000 21:30 +Ankeny,,TRIANGLE,IA,9/26/2000 22:10 +Taunton,RED,DISK,MA,9/27/2000 0:15 +Gerrardstown,,DISK,WV,9/27/2000 1:24 +Babylon,,CIRCLE,NY,9/27/2000 3:00 +Bel Marin Keys,,LIGHT,CA,9/27/2000 5:30 +Apache Junction,,OTHER,AZ,9/27/2000 12:34 +Highlands Ranch,RED ORANGE BLUE,TRIANGLE,CO,9/27/2000 19:30 +Greenbrier,,CIRCLE,AR,9/27/2000 20:00 +Rapid City,,LIGHT,SD,9/27/2000 20:35 +Challis,,TRIANGLE,ID,9/27/2000 21:45 +Vermilion,GREEN,DISK,OH,9/28/2000 1:00 +West Manchester,,OTHER,OH,9/28/2000 14:00 +Layton,RED BLUE,TRIANGLE,UT,9/28/2000 20:00 +Morristown,,TRIANGLE,TN,9/28/2000 20:30 +Oshkosh,ORANGE,DISK,WI,9/28/2000 21:00 +Collinsville,,FIREBALL,IL,9/28/2000 21:10 +Glasgow,RED,OTHER,KY,9/28/2000 21:13 +Crofton,RED,CIRCLE,KY,9/28/2000 21:15 +Napa,,SPHERE,CA,9/29/2000 1:20 +Bethlehem,,OTHER,PA,9/29/2000 5:20 +Wichita,,LIGHT,KS,9/29/2000 5:35 +Chandler,,FIREBALL,AZ,9/29/2000 19:40 +North Texas,,FIREBALL,TX,9/30/2000 2:00 +Canoga Park,,SPHERE,CA,9/30/2000 18:24 +Globe,,CIRCLE,AZ,9/30/2000 20:00 +Globe,GREEN,CIRCLE,AZ,9/30/2000 20:00 +Lamoine,GREEN,TRIANGLE,ME,9/30/2000 20:00 +Memphis,,LIGHT,TN,9/30/2000 20:00 +Phoenix,BLUE,OTHER,AZ,9/30/2000 20:00 +Scottsdale,BLUE,FIREBALL,AZ,9/30/2000 20:00 +San Fernando Valley,,CIRCLE,CA,9/30/2000 21:30 +Los Angeles,RED ORANGE,FORMATION,CA,9/30/2000 21:45 +North Hollywood,RED,VARIOUS,CA,9/30/2000 21:45 +San Fernando Valley,RED,LIGHT,CA,9/30/2000 21:47 +Arleta,RED,LIGHT,CA,9/30/2000 22:00 +Las Vegas,,SPHERE,NV,9/30/2000 22:25 +San Fernando Valley,,FORMATION,CA,9/30/2000 22:30 +Los Angeles,,TRIANGLE,CA,9/30/2000 23:00 +San Antonio,RED BLUE,VARIOUS,TX,9/30/2000 23:30 +Vaughn,,FORMATION,WA,10/1/2000 1:00 +Sturgis,,DISK,MI,10/1/2000 1:30 +Madera,,LIGHT,CA,10/1/2000 14:00 +Stockton,,SPHERE,CA,10/1/2000 18:00 +Chandler,,CIGAR,AZ,10/1/2000 19:40 +Belmont,,,CA,10/1/2000 20:00 +Prineville,,,OR,10/1/2000 20:00 +Wheaton,,TRIANGLE,MD,10/1/2000 20:00 +Albuquerque,,TRIANGLE,NM,10/1/2000 20:45 +Orange Park,,OTHER,FL,10/1/2000 21:00 +Colorado Springs,,LIGHT,CO,10/1/2000 21:30 +Maryville,,LIGHT,MO,10/1/2000 21:30 +Jackson,,TRIANGLE,TN,10/1/2000 22:00 +Jones Beach,RED BLUE,DIAMOND,NY,10/1/2000 23:15 +San Antonio,,LIGHT,TX,10/2/2000 0:00 +Sterling,,OVAL,MI,10/2/2000 0:00 +Sterling Heights,ORANGE,OVAL,MI,10/2/2000 9:54 +Crossville,RED,CIRCLE,TN,10/2/2000 17:00 +Fairbanks,,,AK,10/2/2000 23:00 +St. Petersburg,,DISK,FL,10/3/2000 2:15 +Los Angeles,,,CA,10/3/2000 4:30 +Buckley,,TRIANGLE,WA,10/3/2000 12:15 +Hayward,,VARIOUS,CA,10/3/2000 19:15 +Fargo,,TRIANGLE,ND,10/4/2000 1:57 +Charlotte,,OVAL,NC,10/4/2000 14:33 +Niles,,TRIANGLE,MI,10/4/2000 17:00 +Severn,ORANGE,DISK,MD,10/4/2000 18:10 +Janesville,,DIAMOND,WI,10/4/2000 18:25 +Caldwell,,LIGHT,ID,10/4/2000 20:30 +Kalama,,,WA,10/4/2000 22:00 +Cleburne,,OTHER,TX,10/4/2000 22:25 +New Brighton,,DISK,MN,10/4/2000 22:45 +Richwood,,FIREBALL,TX,10/4/2000 22:47 +Show Low,,CIRCLE,AZ,10/5/2000 0:00 +Snohomish,GREEN,OTHER,WA,10/5/2000 0:05 +Colorado Springs,,TRIANGLE,CO,10/5/2000 2:00 +Phoenix,,LIGHT,AZ,10/5/2000 4:30 +Pima,,OTHER,AZ,10/5/2000 5:50 +Jerome,,VARIOUS,AZ,10/5/2000 6:05 +Kennewick,,,WA,10/5/2000 19:45 +Daphne,,CIRCLE,AL,10/5/2000 21:05 +Topsfield,GREEN,FIREBALL,MA,10/5/2000 22:00 +Montara,,LIGHT,CA,10/5/2000 23:15 +Seattle,,SPHERE,WA,10/6/2000 10:50 +Springfield,,TRIANGLE,MO,10/6/2000 13:45 +Rohnert Park,,CONE,CA,10/6/2000 16:45 +Las Vegas,RED YELLOW,OTHER,NV,10/6/2000 20:25 +Mesa,,DISK,AZ,10/6/2000 22:30 +Vallejo,ORANGE,TEARDROP,CA,10/7/2000 1:15 +Palm Desert,,TRIANGLE,CA,10/7/2000 2:45 +Clearwater,,LIGHT,FL,10/7/2000 22:00 +Katy,,DISK,TX,10/7/2000 22:00 +Oak Lawn,,CIRCLE,IL,10/7/2000 22:30 +Toledo to Marion,,LIGHT,OH,10/7/2000 23:30 +Silver Lake,,TRIANGLE,CA,10/8/2000 0:30 +Silver Lake,,TRIANGLE,CA,10/8/2000 1:00 +Longbeach,,TRIANGLE,NJ,10/8/2000 1:10 +Fairfield,RED,,IA,10/8/2000 2:00 +Bartlesville,,,OK,10/8/2000 5:45 +Pismo Beach,,TRIANGLE,CA,10/8/2000 9:00 +Hayward,,CIRCLE,CA,10/8/2000 14:00 +West Warwick,,FORMATION,RI,10/8/2000 16:00 +Tacoma,,OTHER,WA,10/8/2000 16:45 +Lisbon,,LIGHT,OH,10/8/2000 18:00 +Chemung,,OTHER,NY,10/8/2000 18:20 +Chemung,,OTHER,NY,10/8/2000 18:20 +Morganton,,DISK,NC,10/8/2000 20:00 +Glendale,,CIRCLE,AZ,10/8/2000 22:30 +Kimberly,,,AL,10/9/2000 9:00 +Border,,TEARDROP,WY,10/9/2000 18:45 +Bozeman,,LIGHT,MT,10/9/2000 21:00 +Minnetonka,,VARIOUS,MN,10/9/2000 23:35 +Perryville,ORANGE,OVAL,MO,10/10/2000 3:00 +Boynton Beach,,OTHER,FL,10/10/2000 6:15 +Jueanu,,TRIANGLE,WI,10/10/2000 16:00 +Valley Park area of St. Louis,,OVAL,MO,10/10/2000 20:20 +Brinktown,,LIGHT,MO,10/10/2000 20:30 +Florence,,LIGHT,KY,10/10/2000 21:30 +Seattle,,,WA,10/10/2000 21:30 +Port Orchard,,DIAMOND,WA,10/10/2000 22:00 +Watertown,,LIGHT,NY,10/11/2000 20:00 +Elverta,RED BLUE,LIGHT,CA,10/11/2000 22:00 +Whittier,,LIGHT,CA,10/11/2000 23:30 +Breckenridge,,OTHER,TX,10/12/2000 8:00 +Mountain City,,DISK,TN,10/12/2000 15:00 +New Haven,,DISK,WV,10/12/2000 17:40 +Belmont,,CIGAR,VT,10/12/2000 18:00 +Gilbert,,LIGHT,AZ,10/12/2000 18:45 +Gilbert,,OVAL,AZ,10/12/2000 18:59 +Gilbert,RED,,AZ,10/12/2000 19:00 +Tulsa,,FIREBALL,OK,10/12/2000 19:30 +Buckeye,,LIGHT,AZ,10/12/2000 21:30 +Forest Hills,GREEN,CIRCLE,NY,10/13/2000 1:00 +Mohawk Valley,,OTHER,AZ,10/13/2000 1:00 +Mohawk Valley,,OTHER,AZ,10/13/2000 1:00 +Tulsa,,FIREBALL,OK,10/13/2000 6:45 +Newton,,FIREBALL,KS,10/13/2000 8:00 +Wichita,,OTHER,KS,10/13/2000 18:30 +Knoxville,,CYLINDER,TN,10/13/2000 18:45 +Louisville,,TRIANGLE,KY,10/13/2000 18:45 +Oklahoma,,FIREBALL,OK,10/13/2000 19:00 +Wichita,,,KS,10/13/2000 19:00 +Clyde,,CYLINDER,TX,10/13/2000 19:14 +Jenks,,FIREBALL,OK,10/13/2000 19:20 +Orangeville,,,PA,10/13/2000 19:25 +Amarillo,BLUE,LIGHT,TX,10/13/2000 19:30 +Baird,,FIREBALL,TX,10/13/2000 19:30 +Elk City,,FIREBALL,OK,10/13/2000 19:53 +Eugene,,LIGHT,OR,10/13/2000 20:00 +Miami,,CHEVRON,FL,10/13/2000 20:00 +Orwigsburg,,FIREBALL,PA,10/13/2000 21:30 +Portland,,LIGHT,OR,10/13/2000 22:10 +Salinas,,,CA,10/14/2000 1:16 +Escondido,,,CA,10/14/2000 2:30 +Breezewood,ORANGE YELLOW BLUE,CIGAR,PA,10/14/2000 14:18 +Mechanicsville,,CIRCLE,VA,10/14/2000 16:05 +Sarasota,,,FL,10/14/2000 18:15 +Gonzales,,RECTANGLE,LA,10/14/2000 18:30 +Denver,,,CO,10/14/2000 22:18 +Southgate,,FIREBALL,MI,10/15/2000 1:35 +Alabama,,SPHERE,AL,10/15/2000 3:00 +Clear Lake,GREEN,EGG,TX,10/15/2000 4:00 +Mt. Kisco,,LIGHT,NY,10/15/2000 4:00 +Nassau Bay,GREEN,OVAL,TX,10/15/2000 4:00 +Del Valle,,,TX,10/15/2000 15:30 +Phoenix,,CIGAR,AZ,10/15/2000 16:30 +Commerce City to Henderson,,TRIANGLE,CO,10/15/2000 17:00 +Palm Springs,,LIGHT,CT,10/15/2000 17:00 +Long Beach,,DIAMOND,CA,10/15/2000 17:52 +Strawberry,,DISK,AZ,10/15/2000 19:00 +New Castle,,EGG,PA,10/15/2000 20:00 +Portland,,CIRCLE,OR,10/15/2000 20:00 +Lucerne,,TRIANGLE,IN,10/15/2000 20:30 +Middletown,,CIGAR,CA,10/15/2000 21:10 +Houston,,TRIANGLE,TX,10/15/2000 21:30 +Greensboro,,OVAL,NC,10/15/2000 22:00 +Martins Ferry,,,OH,10/15/2000 23:00 +Spring Lake,,OTHER,NC,10/15/2000 23:00 +Woodstock,,FIREBALL,CT,10/16/2000 12:22 +Kenosha,,LIGHT,WI,10/16/2000 18:10 +Jefferson City,,TRIANGLE,MO,10/16/2000 23:00 +Bellerose,YELLOW,DISK,NY,10/16/2000 23:55 +Napoleonville,RED,OTHER,LA,10/17/2000 19:00 +Yampa,RED GREEN,LIGHT,CO,10/17/2000 19:00 +Oakland Park,,DIAMOND,FL,10/17/2000 19:45 +Eureka,ORANGE,LIGHT,CA,10/17/2000 20:30 +Tucson,RED BLUE,DIAMOND,AZ,10/17/2000 21:00 +Seattle,,CIRCLE,WA,10/18/2000 6:02 +Boynton Beach,,OTHER,FL,10/18/2000 20:25 +Royal Palm Beach,,FIREBALL,FL,10/18/2000 20:43 +Seattle,GREEN,CIRCLE,WA,10/18/2000 20:45 +McKinney,,LIGHT,TX,10/18/2000 22:15 +Vineland,,SPHERE,CO,10/19/2000 0:00 +Waxhaw,,,NC,10/19/2000 5:28 +Old Fort,YELLOW,CIGAR,TN,10/19/2000 6:30 +Salt Lake City,,SPHERE,UT,10/19/2000 7:40 +Hatfield,,LIGHT,MA,10/19/2000 20:00 +Allegan,,TRIANGLE,MI,10/20/2000 1:30 +Louisville,,LIGHT,KY,10/20/2000 3:00 +Lansing,,,MI,10/20/2000 7:50 +Granite,,,IL,10/20/2000 12:00 +Easley,,DISK,SC,10/20/2000 20:00 +Ridgefield,,TRIANGLE,CT,10/20/2000 20:30 +Westbury,,DISK,NY,10/20/2000 20:45 +Kenosha,,LIGHT,WI,10/20/2000 21:00 +West Branch,,VARIOUS,IA,10/20/2000 21:00 +Greenville,,VARIOUS,NC,10/20/2000 23:30 +Alma,,OVAL,WI,10/21/2000 9:30 +DeSmet,,,SD,10/21/2000 12:00 +West Manchester,,CYLINDER,OH,10/21/2000 13:30 +Rocky Hill,,CHEVRON,CT,10/21/2000 17:00 +Saginaw,,CONE,MI,10/21/2000 19:00 +Fayetteville,,CROSS,AR,10/21/2000 20:15 +Modesto,,FORMATION,CA,10/21/2000 21:15 +San Jose,ORANGE YELLOW,OTHER,CA,10/22/2000 2:30 +Oshkosh,,,WI,10/22/2000 4:30 +Turlock,,TRIANGLE,CA,10/22/2000 6:10 +Lebanon,,LIGHT,PA,10/22/2000 6:30 +Cooper City,BLUE,OTHER,FL,10/22/2000 19:30 +Tulsa,,TRIANGLE,OK,10/22/2000 22:00 +Puyallup,RED,DIAMOND,WA,10/22/2000 23:00 +White Bear Lake,,TRIANGLE,MN,10/23/2000 0:00 +Harpursville,RED BLUE,VARIOUS,NY,10/23/2000 0:05 +Elmira,,CYLINDER,WA,10/23/2000 2:30 +Southbury,,LIGHT,CT,10/23/2000 6:50 +Sacramento,,CYLINDER,CA,10/23/2000 11:00 +Jersey City,,SPHERE,NJ,10/23/2000 14:00 +Nolensville,,,TN,10/23/2000 14:00 +Kamiah,,CIGAR,ID,10/23/2000 17:30 +Mountain Home,,LIGHT,AR,10/23/2000 18:25 +Seattle,,LIGHT,WA,10/23/2000 21:45 +Seattle,,SPHERE,WA,10/23/2000 21:55 +Seattle,GREEN,EGG,WA,10/23/2000 22:00 +Yamhill,,TRIANGLE,PA,10/23/2000 22:25 +Kent,BLUE,OTHER,WA,10/24/2000 6:45 +Medina,,DIAMOND,OH,10/24/2000 19:15 +Street,,OVAL,MD,10/24/2000 20:25 +Gila Bend,,TRIANGLE,AZ,10/24/2000 20:45 +Munhall,,LIGHT,PA,10/25/2000 0:00 +Northampton,,FIREBALL,MA,10/25/2000 19:15 +Peoria,,FIREBALL,AZ,10/25/2000 20:15 +Poulsbo,ORANGE,OTHER,WA,10/25/2000 20:30 +Seattle,,TRIANGLE,WA,10/25/2000 20:30 +Alma,,LIGHT,NM,10/25/2000 21:05 +Portland,,,ME,10/25/2000 23:20 +Scottsdale,,VARIOUS,AZ,10/26/2000 3:30 +Panama City Beach,,OTHER,FL,10/26/2000 13:48 +Agency,,OTHER,MO,10/26/2000 17:30 +Greenlee County,,CIRCLE,AZ,10/26/2000 19:00 +Buckeye,,LIGHT,AZ,10/26/2000 20:45 +Longville,RED,VARIOUS,LA,10/26/2000 21:30 +Aurora,,TRIANGLE,CO,10/26/2000 22:00 +Greeley,,TRIANGLE,CO,10/26/2000 22:30 +Anchorage,,LIGHT,AK,10/26/2000 23:30 +Parker Canyon Lake,,TRIANGLE,AZ,10/27/2000 0:00 +San Antonio,,LIGHT,TX,10/27/2000 3:00 +Phoenix,RED,FIREBALL,AZ,10/27/2000 8:30 +Seattle,,OVAL,WA,10/27/2000 10:30 +Ward,,OTHER,AR,10/27/2000 18:00 +Prattsburgh,,FLASH,NY,10/27/2000 22:00 +Lake Worth,YELLOW,LIGHT,FL,10/28/2000 0:00 +Springfield,,CIGAR,MO,10/28/2000 0:00 +Laurel,BLUE,SPHERE,MD,10/28/2000 1:00 +Portland,,SPHERE,ME,10/28/2000 10:30 +Kintnersville,ORANGE,OTHER,PA,10/28/2000 15:00 +Bellingham,,FLASH,WA,10/28/2000 18:15 +St. George,,VARIOUS,UT,10/28/2000 19:00 +Fairview,,VARIOUS,MI,10/28/2000 19:30 +Scranton,,OTHER,PA,10/28/2000 20:30 +Poughkeepsie,,TRIANGLE,NY,10/28/2000 21:00 +Sheboygan,,CIRCLE,WI,10/28/2000 21:20 +Laurel,,CIRCLE,MD,10/28/2000 21:30 +Jersey City,,LIGHT,NJ,10/28/2000 22:50 +Flint,,TRIANGLE,MI,10/29/2000 1:00 +Norwalk,,LIGHT,OH,10/29/2000 11:10 +Olympia,,OTHER,WA,10/29/2000 17:00 +Edgewood,GREEN,FIREBALL,WA,10/29/2000 17:20 +Graham,,FIREBALL,WA,10/29/2000 17:20 +Aberdeen,GREEN,FIREBALL,WA,10/29/2000 17:25 +La Canada,,TRIANGLE,CA,10/29/2000 17:30 +Gilbert,RED,LIGHT,AZ,10/29/2000 18:30 +Camano Island,,LIGHT,WA,10/29/2000 18:45 +Munroe Falls,,LIGHT,OH,10/29/2000 19:30 +Pottstown,,LIGHT,PA,10/29/2000 19:40 +Fairview,RED YELLOW,DISK,MI,10/29/2000 20:00 +Mt Vernon,,FLASH,WA,10/29/2000 20:00 +Dateland,,DIAMOND,AZ,10/29/2000 21:30 +Marion,ORANGE,LIGHT,KS,10/29/2000 21:30 +Unadilla,,TRIANGLE,NE,10/29/2000 23:50 +San Diego,,OTHER,CA,10/30/2000 4:20 +McMinnville,,CIGAR,OR,10/30/2000 16:00 +Sulphur Springs,,CIRCLE,TX,10/30/2000 18:00 +Austintown,GREEN,,OH,10/30/2000 19:00 +Pearl,,TRIANGLE,MS,10/30/2000 20:30 +Woodland,,SPHERE,CA,10/30/2000 21:12 +Woodland,ORANGE,SPHERE,CA,10/30/2000 21:12 +Boise,,CIRCLE,ID,10/31/2000 7:00 +Roseville,,CIRCLE,CA,10/31/2000 16:30 +Channing,,DISK,MI,10/31/2000 17:30 +Brookfield,RED,OTHER,WI,10/31/2000 18:30 +Fostoria,,VARIOUS,OH,10/31/2000 18:30 +Lansing,,LIGHT,MI,10/31/2000 18:30 +Noblesville,,LIGHT,IN,10/31/2000 18:30 +Sterling Heights,,OTHER,MI,10/31/2000 18:30 +Rochester Hills,,FIREBALL,MI,10/31/2000 18:45 +Saginaw,,FIREBALL,MI,10/31/2000 18:45 +South Lyon,,LIGHT,MI,10/31/2000 18:45 +Elyria,,,OH,10/31/2000 19:00 +Germantown,,CIRCLE,WI,10/31/2000 19:00 +Grand Ledge,,LIGHT,MI,10/31/2000 19:00 +Perry,,FIREBALL,MI,10/31/2000 19:00 +Cygnet,,EGG,OH,10/31/2000 19:15 +Cygnet,,EGG,OH,10/31/2000 19:15 +Riverdale,,DIAMOND,MD,10/31/2000 19:30 +Sipsey,,DISK,AL,10/31/2000 20:00 +Whitmore Lake,,CIRCLE,MI,10/31/2000 20:00 +New City,GREEN,DISK,NY,10/31/2000 20:32 +Cincinnati,,TRIANGLE,OH,10/31/2000 21:00 +Austin,,DISK,TX,11/1/2000 1:00 +Commack,,EGG,NY,11/1/2000 3:00 +Smithton,,OTHER,MO,11/1/2000 13:40 +Costa Mesa,ORANGE,TRIANGLE,CA,11/1/2000 18:30 +Union,,LIGHT,NJ,11/1/2000 20:00 +Mitchell,,OTHER,SD,11/1/2000 21:00 +Blythe,,DIAMOND,CA,11/1/2000 22:56 +Dayton,,DISK,IA,11/2/2000 1:00 +Medford,,CIRCLE,WI,11/2/2000 5:30 +Kansas,,,KS,11/2/2000 17:00 +Dana Point,,TRIANGLE,CA,11/2/2000 19:30 +Bloomfield,,DISK,NJ,11/2/2000 19:45 +Cresskill,,DISK,NJ,11/2/2000 19:50 +Petaluma,,FORMATION,CA,11/2/2000 20:30 +Kennewick,,TRIANGLE,WA,11/2/2000 21:30 +Fort Worth,,FIREBALL,TX,11/2/2000 22:00 +Seattle,,LIGHT,WA,11/3/2000 0:45 +Surprise,,DISK,AZ,11/3/2000 4:20 +Ashland City,,TRIANGLE,TN,11/3/2000 13:00 +Decorah,,,IA,11/3/2000 15:40 +Bend,RED BLUE,CIRCLE,OR,11/3/2000 16:50 +Dover,,TRIANGLE,DE,11/3/2000 19:40 +Dover,,TRIANGLE,DE,11/3/2000 19:40 +Laguna Hills,,,CA,11/3/2000 20:30 +Fortuna,ORANGE,OVAL,CA,11/3/2000 22:35 +Garland,GREEN,,TX,11/4/2000 0:20 +Yucaipa,,,CA,11/4/2000 2:40 +Windsor Locks,,LIGHT,CT,11/4/2000 13:45 +Sidney,,CIRCLE,ME,11/4/2000 18:00 +Ann Arbor,RED,LIGHT,MI,11/4/2000 19:30 +Scottsdale,,TRIANGLE,AZ,11/4/2000 20:45 +Sanibel Island,RED,LIGHT,FL,11/4/2000 22:00 +Peoria,RED ORANGE,CIRCLE,AZ,11/5/2000 1:00 +Plantation,,TEARDROP,FL,11/5/2000 5:12 +Fort Wayne,,FORMATION,IN,11/5/2000 16:45 +San Francisco,,FIREBALL,CA,11/6/2000 1:30 +Sacramento,,CIRCLE,CA,11/6/2000 14:00 +Kearney,,EGG,MO,11/6/2000 20:00 +Houston,,TRIANGLE,TX,11/6/2000 21:00 +Mentor,,CIRCLE,OH,11/6/2000 21:30 +Homer,,OTHER,AK,11/7/2000 0:10 +Reno,,TRIANGLE,NV,11/7/2000 2:15 +Reading,,LIGHT,PA,11/7/2000 3:30 +Lackawaxen,,LIGHT,PA,11/7/2000 3:55 +Dallas,,DISK,TX,11/7/2000 17:50 +Roseville,,TRIANGLE,CA,11/7/2000 22:00 +Bellevue,,OTHER,WA,11/8/2000 12:20 +Scottsdale,,TEARDROP,AZ,11/8/2000 16:30 +Chandler,,CIRCLE,AZ,11/8/2000 19:15 +Winfield,,FIREBALL,WV,11/8/2000 22:00 +Douglassville,,OTHER,PA,11/8/2000 22:30 +Eugene,,LIGHT,OR,11/8/2000 22:30 +Honolulu,,FORMATION,HI,11/9/2000 0:05 +Paso Robles,,RECTANGLE,CA,11/10/2000 16:00 +Perrysburg,,RECTANGLE,OH,11/10/2000 18:00 +Syracuse,,TRIANGLE,NY,11/10/2000 23:00 +Slate Hill,,CIRCLE,NY,11/11/2000 5:00 +Concord,,DISK,NC,11/11/2000 9:00 +Los Molinos,,OVAL,CA,11/11/2000 10:45 +Tulsa,,CIRCLE,OK,11/11/2000 14:00 +Tarpon Springs,,CYLINDER,FL,11/11/2000 14:35 +Bend,,LIGHT,OR,11/11/2000 17:05 +Bend,,CIRCLE,OR,11/11/2000 17:30 +Berlin,,DISK,MA,11/11/2000 17:30 +Pollock Pines,,LIGHT,CA,11/11/2000 18:35 +Indianapolis,,OTHER,IN,11/11/2000 19:32 +Charleston,,LIGHT,IL,11/11/2000 21:00 +Russell Springs,,FORMATION,KY,11/12/2000 3:00 +Glendale,,LIGHT,AZ,11/12/2000 6:20 +Jackson,,TRIANGLE,TN,11/12/2000 9:00 +Orlando,,CIRCLE,FL,11/12/2000 14:00 +Los Angeles,,VARIOUS,CA,11/12/2000 15:30 +Port Jefferson,GREEN,VARIOUS,NY,11/12/2000 21:45 +Somerville,GREEN,FIREBALL,NJ,11/12/2000 22:00 +LaMesa,,FIREBALL,CA,11/12/2000 22:30 +Miami,,OTHER,FL,11/12/2000 22:58 +Lynchburg,BLUE,LIGHT,VA,11/12/2000 23:15 +Canyon,,EGG,CA,11/13/2000 0:01 +Denton,,TRIANGLE,TX,11/13/2000 18:30 +Vail,,TEARDROP,AZ,11/13/2000 19:15 +Los Angeles,,VARIOUS,CA,11/13/2000 19:43 +Lawrenceville,,RECTANGLE,GA,11/13/2000 19:45 +Fort Myers,,OVAL,FL,11/13/2000 20:00 +Heflin,,DIAMOND,LA,11/13/2000 21:00 +Ellinwood,,FIREBALL,KS,11/13/2000 22:00 +Henderson,,,TX,11/14/2000 0:00 +Kiln,,,MS,11/14/2000 18:30 +Ellensburg,,,WA,11/14/2000 20:15 +McAlpin,,FIREBALL,FL,11/14/2000 20:25 +Ellensburg,,CHEVRON,WA,11/14/2000 21:00 +Greenup,,FIREBALL,KY,11/14/2000 21:00 +San Diego,,LIGHT,CA,11/14/2000 21:00 +Cambridge,,LIGHT,MD,11/15/2000 7:00 +Southwest,,TRIANGLE,AR,11/15/2000 8:30 +East Lansing,,DIAMOND,MI,11/15/2000 14:00 +Perry,,TRIANGLE,MI,11/15/2000 17:00 +Comanche,,OTHER,TX,11/15/2000 17:55 +Greenwood,,FLASH,AR,11/15/2000 18:00 +Sidney,,OTHER,TX,11/15/2000 18:00 +Greenfield Center,GREEN,OTHER,NY,11/15/2000 19:00 +Kokomo,ORANGE,FLASH,IN,11/15/2000 20:00 +Portland,,CIRCLE,OR,11/15/2000 20:00 +Belleville,,,NJ,11/15/2000 20:30 +Fort Smith,ORANGE,TRIANGLE,AR,11/15/2000 21:00 +Fruitport,,TRIANGLE,MI,11/15/2000 22:00 +Arroyo Grande,,OTHER,CA,11/16/2000 0:00 +Eagletown,,SPHERE,OK,11/16/2000 20:00 +Auburn,,FIREBALL,WA,11/16/2000 23:00 +Everett,,OTHER,WA,11/16/2000 23:03 +Brownsville,,CIRCLE,OR,11/16/2000 23:08 +Vining,GREEN,OVAL,MN,11/16/2000 23:54 +San Francisco,,OVAL,CA,11/17/2000 17:00 +Freehold,,CIRCLE,NJ,11/17/2000 17:30 +Seabrook,,RECTANGLE,NH,11/17/2000 18:00 +Greenwich,,LIGHT,NY,11/17/2000 18:30 +Chiloquin,,OTHER,OR,11/17/2000 19:30 +Astoria,,LIGHT,OR,11/17/2000 20:18 +Monticello,ORANGE,VARIOUS,NY,11/17/2000 20:45 +Alhambra,,OTHER,CA,11/17/2000 22:16 +New York City,,TRIANGLE,NY,11/18/2000 1:30 +Pasadena,,LIGHT,CA,11/18/2000 18:30 +Granite City,,TRIANGLE,IL,11/18/2000 18:45 +Walnut Creek,,LIGHT,CA,11/18/2000 20:00 +Dilley,RED BLUE,DISK,TX,11/18/2000 22:15 +Omaha,,,NE,11/18/2000 23:59 +Massapequa,,OVAL,NY,11/19/2000 3:00 +Reedpoint,,FIREBALL,MT,11/19/2000 4:30 +East Brunswick,,TEARDROP,NJ,11/19/2000 16:35 +Bradford,,OTHER,MA,11/19/2000 17:00 +Jamestown,,LIGHT,TN,11/19/2000 17:30 +Benicia,,OTHER,CA,11/19/2000 17:58 +Grapevine,,TRIANGLE,TX,11/19/2000 18:00 +n45 27.944 w088 23.691,,CIRCLE,WI,11/19/2000 18:00 +Tucson,,,AZ,11/19/2000 18:00 +Lenexa,ORANGE,FORMATION,KS,11/19/2000 21:15 +Arlington,RED,DISK,VA,11/19/2000 22:00 +Westlake,,SPHERE,LA,11/19/2000 22:00 +Hazelwood,,DISK,MO,11/20/2000 2:00 +Belfry,BLUE,LIGHT,KY,11/20/2000 3:00 +Breinigsville,,OTHER,PA,11/20/2000 4:13 +Lyndhurst,,VARIOUS,VA,11/20/2000 12:15 +St. Joseph,,EGG,MO,11/20/2000 15:00 +Seagoville,,TRIANGLE,TX,11/20/2000 19:00 +Phoenix,,TRIANGLE,AZ,11/20/2000 20:30 +Destin,,FIREBALL,FL,11/20/2000 22:30 +Oostburg,,FLASH,WI,11/20/2000 23:00 +Warrior,,LIGHT,AL,11/21/2000 5:07 +Kingman,,DISK,AZ,11/21/2000 13:54 +Morro Bay,,LIGHT,CA,11/21/2000 17:30 +Cordova,,,AL,11/21/2000 18:00 +Olympia,,OTHER,WA,11/21/2000 20:00 +Jackson,,LIGHT,MI,11/22/2000 12:00 +Coeur d'Alene,ORANGE,LIGHT,ID,11/22/2000 17:15 +Greensboro,,TRIANGLE,NC,11/22/2000 20:40 +Omaha,,TRIANGLE,NE,11/22/2000 22:15 +Seattle,,LIGHT,WA,11/23/2000 1:03 +Oregon,,TRIANGLE,OH,11/23/2000 6:30 +West Allenhurst,,OTHER,NJ,11/23/2000 18:15 +Fountain City,,LIGHT,WI,11/23/2000 18:20 +El Paso,,CIGAR,NM,11/23/2000 18:37 +Belton,,LIGHT,TX,11/23/2000 18:40 +Corpus Christi,,OTHER,TX,11/23/2000 19:45 +Valley Stream,,TRIANGLE,NY,11/23/2000 20:06 +Palm Desert,,LIGHT,CA,11/23/2000 21:00 +Atlanta,,CIRCLE,GA,11/23/2000 21:30 +Atlanta,,FORMATION,GA,11/23/2000 21:30 +Auburn,,CIRCLE,NH,11/23/2000 22:00 +Clintwood,,,VA,11/23/2000 22:00 +Norwalk,,LIGHT,CA,11/23/2000 22:00 +Atlanta,,OVAL,GA,11/23/2000 22:45 +Burlington,,CIRCLE,IL,11/24/2000 1:24 +Denver,RED,TRIANGLE,CO,11/24/2000 17:52 +Aptos,,FIREBALL,CA,11/24/2000 23:00 +Conyers,,FLASH,GA,11/24/2000 23:00 +Elizabeth,,SPHERE,NJ,11/25/2000 1:25 +Carrollton,GREEN,,GA,11/25/2000 3:00 +Wax,,CIRCLE,KY,11/25/2000 5:00 +Broken Arrow,,SPHERE,OK,11/25/2000 14:35 +Camarillo,,LIGHT,CA,11/25/2000 19:30 +Ellisville,,TRIANGLE,MS,11/25/2000 20:45 +Claremore,,LIGHT,OK,11/26/2000 0:00 +La Jolla,,LIGHT,CA,11/26/2000 4:00 +Jellico,,CIRCLE,TN,11/26/2000 21:00 +Progresso,,,TX,11/26/2000 21:15 +Iron River,YELLOW GREEN BLUE,OTHER,MI,11/26/2000 21:30 +Dalton,,DISK,GA,11/27/2000 19:00 +Helena,,EGG,MT,11/27/2000 20:03 +Morganton,,FIREBALL,NC,11/27/2000 22:08 +Eugene,,CIRCLE,OR,11/28/2000 2:14 +North Miami Beach,,DISK,FL,11/28/2000 18:42 +Peoria,,LIGHT,IL,11/28/2000 19:00 +Phoenix,,TRIANGLE,AZ,11/28/2000 19:04 +Kennewick,ORANGE,FIREBALL,WA,11/28/2000 21:00 +Edina,ORANGE,CIRCLE,MN,11/28/2000 21:30 +Placerville,GREEN,FIREBALL,CA,11/28/2000 22:15 +Sherwood,,TRIANGLE,OR,11/29/2000 3:46 +Kapa'a,BLUE,CIRCLE,HI,11/30/2000 5:30 +Port St. Lucie,,OVAL,FL,11/30/2000 11:50 +Galway,,LIGHT,NY,11/30/2000 18:45 +Newark,,TRIANGLE,CA,11/30/2000 23:21 +Kilauea,ORANGE BLUE,FIREBALL,HI,12/1/2000 4:29 +Kilauea,,FIREBALL,HI,12/1/2000 4:30 +Lawai,,,HI,12/1/2000 4:30 +Lawai,,FLASH,HI,12/1/2000 4:30 +Lawai,,LIGHT,HI,12/1/2000 4:35 +Grand Blanc,,TRIANGLE,MI,12/1/2000 17:00 +Devils Lake,,DIAMOND,ND,12/1/2000 17:20 +Avondale,,TRIANGLE,AZ,12/1/2000 18:45 +South Bend,,LIGHT,IN,12/1/2000 19:20 +Avoca,,LIGHT,IA,12/1/2000 20:23 +Longwood,,TRIANGLE,FL,12/1/2000 22:43 +Lemon Grove,,CROSS,CA,12/2/2000 8:22 +Hamburg,,LIGHT,MI,12/2/2000 17:40 +Gloucester,,LIGHT,MA,12/2/2000 21:00 +Lake Tahoe,GREEN,FIREBALL,CA,12/2/2000 21:30 +Seldon,RED,TRIANGLE,NY,12/2/2000 22:50 +Anthem,,LIGHT,AZ,12/3/2000 16:34 +Phoenix,,DISK,AZ,12/3/2000 17:30 +Fort Wayne,,OTHER,IN,12/3/2000 19:10 +Dallas,RED GREEN,LIGHT,TX,12/3/2000 22:00 +Concord,,CIRCLE,CA,12/3/2000 22:05 +Maple Valley,,FORMATION,WA,12/3/2000 23:20 +St. Louis,,CYLINDER,MO,12/3/2000 23:30 +Schnecksville,,TEARDROP,PA,12/4/2000 7:30 +Monticello,,TRIANGLE,NY,12/4/2000 14:00 +Auburn,,,WA,12/4/2000 14:30 +Beaverton,,TRIANGLE,OR,12/4/2000 19:00 +Pomona,,FLASH,MO,12/4/2000 19:00 +North Tonawanda,,OTHER,NY,12/4/2000 21:40 +O'Fallon,,TRIANGLE,IL,12/5/2000 0:00 +Darrington,,OTHER,WA,12/5/2000 15:27 +Corvallis,,FIREBALL,OR,12/5/2000 16:20 +Portland,,LIGHT,OR,12/5/2000 17:10 +Brooklyn Park,,TRIANGLE,MN,12/5/2000 19:40 +Ardmore,,,OK,12/5/2000 20:03 +Lake Havasu City,,OTHER,AZ,12/5/2000 20:15 +Thorntown,,,IN,12/6/2000 4:00 +Tonawanda,,LIGHT,NY,12/6/2000 4:55 +Pueblo,,,CO,12/6/2000 12:30 +Roswell,,TRIANGLE,NM,12/6/2000 18:16 +Forks,,CIGAR,WA,12/6/2000 18:40 +Milton,,LIGHT,WV,12/6/2000 20:00 +Hollywood,,SPHERE,CA,12/7/2000 10:50 +West Chester,,SPHERE,PA,12/7/2000 17:50 +Fresno,,DISK,CA,12/7/2000 19:56 +Gilbert,,OVAL,AZ,12/8/2000 19:09 +Mesa,RED,LIGHT,AZ,12/8/2000 19:15 +Beaver,,LIGHT,OH,12/8/2000 20:00 +Carlsbad,,LIGHT,NM,12/9/2000 18:00 +Mesa,,LIGHT,AZ,12/9/2000 19:30 +Beaver,,TRIANGLE,PA,12/9/2000 21:00 +Russellville,,,AR,12/10/2000 0:10 +Glen Allen,,OVAL,VA,12/10/2000 1:10 +Mankato,,OTHER,MN,12/10/2000 3:30 +Marshfield,,LIGHT,WI,12/10/2000 15:00 +Las Vegas,,TRIANGLE,NV,12/10/2000 17:30 +Longwood,,OTHER,FL,12/10/2000 22:00 +Bloomington,RED ORANGE,OVAL,CA,12/11/2000 0:01 +Alexandria,,DIAMOND,KY,12/11/2000 6:24 +Norwalk,,,CT,12/11/2000 17:18 +Springfield,,FIREBALL,MO,12/11/2000 21:15 +Gilbert,RED,LIGHT,AZ,12/11/2000 23:45 +Cupertino,YELLOW,,CA,12/12/2000 6:35 +Raleigh,,DISK,NC,12/12/2000 7:00 +Kittery,,LIGHT,ME,12/12/2000 15:45 +Miami,,,FL,12/12/2000 18:30 +Madison,RED GREEN,TEARDROP,OH,12/12/2000 18:45 +North Pole,,,AK,12/12/2000 22:00 +Concord,RED GREEN,CIRCLE,NH,12/12/2000 23:10 +Greenville,,LIGHT,NC,12/12/2000 23:30 +Mission,,TRIANGLE,KS,12/13/2000 18:50 +Cleveland,,TRIANGLE,TN,12/13/2000 20:40 +Redwood Valley,BLUE,LIGHT,CA,12/15/2000 1:09 +San Diego,,LIGHT,CA,12/15/2000 4:05 +Waldorf,GREEN,LIGHT,MD,12/15/2000 5:30 +Palo Alto,,DISK,CA,12/15/2000 9:00 +Savoonga,,DISK,AK,12/15/2000 10:00 +New York City,,VARIOUS,NY,12/15/2000 16:20 +North Pole,ORANGE,SPHERE,AK,12/15/2000 16:36 +Beaver,,DISK,PA,12/15/2000 18:25 +Beaver,RED,DISK,PA,12/15/2000 18:25 +Orlando,,TRIANGLE,FL,12/15/2000 20:00 +Austin,,,TX,12/15/2000 21:00 +Gillsville,,FIREBALL,GA,12/15/2000 21:30 +Brandon,,FIREBALL,MS,12/15/2000 22:00 +Graham,GREEN,LIGHT,WA,12/16/2000 0:20 +Pioneer,,LIGHT,TN,12/16/2000 0:45 +Athens,,LIGHT,TX,12/16/2000 19:00 +Walnut Creek,,CROSS,CA,12/16/2000 19:00 +New Port Richey,,OTHER,FL,12/17/2000 3:00 +Palm Beach,,TRIANGLE,FL,12/17/2000 3:45 +Fargher Lake,,,WA,12/17/2000 9:30 +Sebastopol,YELLOW,CIRCLE,CA,12/17/2000 18:00 +Estes Park,,CHEVRON,CO,12/17/2000 18:15 +Bolingbrook,,LIGHT,IL,12/17/2000 19:10 +Medina,ORANGE,TRIANGLE,OH,12/17/2000 19:30 +Kennewick,,LIGHT,WA,12/17/2000 20:17 +Baton Rouge,,LIGHT,LA,12/17/2000 20:40 +St. Louis,,FIREBALL,MO,12/17/2000 20:45 +Highland Park,BLUE,VARIOUS,NJ,12/18/2000 2:30 +Loon Lake,,VARIOUS,MN,12/18/2000 7:00 +Spokane,,LIGHT,WA,12/18/2000 17:00 +Enterprise,,OVAL,AL,12/18/2000 18:45 +Pittsburg,,TRIANGLE,KS,12/18/2000 21:00 +Show Low,,LIGHT,AZ,12/18/2000 21:20 +North Port,,VARIOUS,FL,12/19/2000 3:09 +Foxboro,,CIRCLE,MA,12/19/2000 16:00 +Foxboro,,OVAL,MA,12/19/2000 17:15 +Orlando,,TRIANGLE,FL,12/19/2000 20:00 +Woodland,ORANGE,LIGHT,CA,12/19/2000 23:30 +Fort Collins,,OVAL,CO,12/20/2000 0:00 +Roseville,,TRIANGLE,CA,12/20/2000 5:45 +Elizabeth City,,CHEVRON,NC,12/20/2000 17:00 +Pine Mountain,,FIREBALL,GA,12/20/2000 21:00 +Concord,,FIREBALL,CA,12/20/2000 22:00 +Monroe,,TRIANGLE,CT,12/20/2000 22:00 +Gilbert,,CHEVRON,AZ,12/21/2000 16:15 +Mojave,,TRIANGLE,CA,12/21/2000 17:54 +Gilbert,RED,CIRCLE,AZ,12/21/2000 19:05 +Bellingham,,SPHERE,WA,12/21/2000 19:10 +Amhearst,BLUE,,OH,12/21/2000 23:56 +MM 110,BLUE,CIRCLE,AZ,12/22/2000 3:00 +Kettleman City,,LIGHT,CA,12/22/2000 3:30 +Toomsuba,RED,OVAL,MS,12/23/2000 4:00 +Oliphant,,,PA,12/23/2000 8:00 +Zumbrota,,CIGAR,MN,12/23/2000 16:30 +Chandler,,LIGHT,AZ,12/23/2000 19:00 +Seattle,,,WA,12/23/2000 20:00 +Chandler,RED,LIGHT,AZ,12/23/2000 22:00 +Lake Havasu City,,EGG,AZ,12/24/2000 0:10 +Charlotte,,,NC,12/24/2000 5:00 +Moses Lake,,TRIANGLE,WA,12/24/2000 8:32 +Fortuna,ORANGE,CIRCLE,CA,12/24/2000 18:00 +Evansville,,FIREBALL,IN,12/24/2000 20:00 +St. Maries,,,ID,12/24/2000 21:20 +Plymouth,GREEN,FIREBALL,OH,12/24/2000 22:00 +Charlotte,,CROSS,NC,12/25/2000 3:00 +Miami,,EGG,FL,12/25/2000 11:30 +Tucson,,CIGAR,AZ,12/25/2000 12:20 +Canton,,FIREBALL,MI,12/25/2000 17:00 +Buffalo,,FORMATION,NY,12/25/2000 18:30 +Woodland,,FIREBALL,CA,12/25/2000 19:00 +Fallston,RED,VARIOUS,MD,12/25/2000 19:15 +Atlanta,ORANGE,LIGHT,GA,12/25/2000 20:30 +Phoenix,,,AZ,12/25/2000 21:00 +Walpole,GREEN,FIREBALL,NH,12/26/2000 18:20 +Walpole,GREEN,FIREBALL,NH,12/26/2000 18:20 +Brocton,GREEN,OVAL,MA,12/26/2000 18:23 +Greenfiled,GREEN,FIREBALL,MA,12/26/2000 18:30 +Warren,,FIREBALL,VT,12/26/2000 18:30 +Prospect Park,,OVAL,PA,12/26/2000 23:15 +Imperial,,LIGHT,AZ,12/27/2000 7:00 +Santa Paula,,LIGHT,CA,12/27/2000 10:00 +Kea'au,,SPHERE,HI,12/27/2000 15:00 +Saco,,TRIANGLE,ME,12/27/2000 22:10 +Bremerton,,OTHER,WA,12/28/2000 3:00 +Havre,,DISK,MT,12/28/2000 4:00 +Cerrilillo,,,NM,12/28/2000 11:00 +Mansfield,,FLASH,TX,12/28/2000 12:00 +Murphreesboro,,FLASH,TN,12/28/2000 12:15 +Houston,,LIGHT,TX,12/28/2000 17:09 +Monument Valley,BLUE,OTHER,UT,12/28/2000 17:51 +Holyoke,,DIAMOND,MA,12/28/2000 18:00 +Carson,,DISK,CA,12/28/2000 18:20 +Pasadena,GREEN,FIREBALL,CA,12/28/2000 19:10 +Austin,,FORMATION,TX,12/29/2000 0:00 +El Campo,,OTHER,TX,12/29/2000 9:00 +Garden Grove,ORANGE,LIGHT,CA,12/29/2000 16:10 +Berthoud Pass,,TRIANGLE,CO,12/29/2000 19:30 +Sisterdale,,DIAMOND,TX,12/29/2000 20:00 +Garden Grove,,CHEVRON,CA,12/29/2000 20:30 +Shasta Lake,BLUE,DISK,CA,12/29/2000 20:30 +Franklin,,DISK,NH,12/29/2000 20:50 +Albrightsville,,OTHER,PA,12/29/2000 21:00 +Greenville,,,SC,12/29/2000 22:00 +Eufaula,,DISK,OK,12/29/2000 23:30 +Simi Valley,,FORMATION,CA,12/30/2000 10:00 +San Francisco,,FORMATION,CA,12/30/2000 22:00 +San Francisco,,TRIANGLE,CA,12/30/2000 22:00 +Kingsville,,LIGHT,TX,12/31/2000 4:00 +Chicago,,DISK,IL,12/31/2000 11:45 +Pismo Beach,,OVAL,CA,12/31/2000 20:00 +Pismo Beach,,OVAL,CA,12/31/2000 20:00 +Lodi,,,WI,12/31/2000 20:30 +Anchorage,RED,VARIOUS,AK,12/31/2000 21:00 +Capitola,,TRIANGLE,CA,12/31/2000 22:00 +Fountain Hills,,,AZ,12/31/2000 23:00 +Grant Park,,TRIANGLE,IL,12/31/2000 23:00 +Spirit Lake,,DISK,IA,12/31/2000 23:00 +Eagle River,,,WI,12/31/2000 23:45 +Eagle River,RED,LIGHT,WI,12/31/2000 23:45 +Ybor,,OVAL,FL,12/31/2000 23:59 diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/pandas.ipynb b/appkits/qpyapp/src/qpynotes/topics/pandas/pandas.ipynb new file mode 100644 index 0000000..3ddc55c --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/pandas.ipynb @@ -0,0 +1,22225 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Python pandas Q&A video series by [Data School](http://www.dataschool.io/)\n", + "\n", + "### [YouTube playlist](https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y) and [GitHub repository](https://github.com/justmarkham/pandas-videos)\n", + "\n", + "## Table of contents\n", + "\n", + "1. What is pandas?\n", + "2. How do I read a tabular data file into pandas?\n", + "3. How do I select a pandas Series from a DataFrame?\n", + "4. Why do some pandas commands end with parentheses (and others don't)?\n", + "5. How do I rename columns in a pandas DataFrame?\n", + "6. How do I remove columns from a pandas DataFrame?\n", + "7. How do I sort a pandas DataFrame or a Series?\n", + "8. How do I filter rows of a pandas DataFrame by column value?\n", + "9. How do I apply multiple filter criteria to a pandas DataFrame?\n", + "10. Your pandas questions answered!\n", + "11. How do I use the \"axis\" parameter in pandas?\n", + "12. How do I use string methods in pandas?\n", + "13. How do I change the data type of a pandas Series?\n", + "14. When should I use a \"groupby\" in pandas?\n", + "15. How do I explore a pandas Series?\n", + "16. How do I handle missing values in pandas?\n", + "17. What do I need to know about the pandas index? (Part 1)\n", + "18. What do I need to know about the pandas index? (Part 2)\n", + "19. How do I select multiple rows and columns from a pandas DataFrame?\n", + "20. When should I use the \"inplace\" parameter in pandas?\n", + "21. How do I make my pandas DataFrame smaller and faster?\n", + "22. How do I use pandas with scikit-learn to create Kaggle submissions?\n", + "23. More of your pandas questions answered!\n", + "24. How do I create dummy variables in pandas?\n", + "25. How do I work with dates and times in pandas?\n", + "26. How do I find and remove duplicate rows in pandas?\n", + "27. How do I avoid a SettingWithCopyWarning in pandas?\n", + "28. How do I change display options in pandas?\n", + "29. How do I create a pandas DataFrame from another object?\n", + "30. How do I apply a function to a pandas Series or DataFrame?" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# conventional way to import pandas\n", + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. What is pandas? ([video](https://www.youtube.com/watch?v=yzIMircGU5I&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=1))\n", + "\n", + "- [pandas main page](http://pandas.pydata.org/)\n", + "- [pandas installation instructions](http://pandas.pydata.org/pandas-docs/stable/install.html)\n", + "- [Anaconda distribution of Python](https://www.continuum.io/downloads) (includes pandas)\n", + "- [How to use the IPython/Jupyter notebook](https://youtu.be/IsXXlYVBt1M?t=5m17s) (video)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. How do I read a tabular data file into pandas? ([video](https://www.youtube.com/watch?v=5_QXMwezPJE&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=2))" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# read a dataset of Chipotle orders directly from a URL and store the results in a DataFrame\n", + "orders = pd.read_table('http://bit.ly/chiporders')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
order_idquantityitem_namechoice_descriptionitem_price
011Chips and Fresh Tomato SalsaNaN$2.39
111Izze[Clementine]$3.39
211Nantucket Nectar[Apple]$3.39
311Chips and Tomatillo-Green Chili SalsaNaN$2.39
422Chicken Bowl[Tomatillo-Red Chili Salsa (Hot), [Black Beans...$16.98
\n", + "
" + ], + "text/plain": [ + " order_id quantity item_name \\\n", + "0 1 1 Chips and Fresh Tomato Salsa \n", + "1 1 1 Izze \n", + "2 1 1 Nantucket Nectar \n", + "3 1 1 Chips and Tomatillo-Green Chili Salsa \n", + "4 2 2 Chicken Bowl \n", + "\n", + " choice_description item_price \n", + "0 NaN $2.39 \n", + "1 [Clementine] $3.39 \n", + "2 [Apple] $3.39 \n", + "3 NaN $2.39 \n", + "4 [Tomatillo-Red Chili Salsa (Hot), [Black Beans... $16.98 " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the first 5 rows\n", + "orders.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`read_table`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_table.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# read a dataset of movie reviewers (modifying the default parameter values for read_table)\n", + "user_cols = ['user_id', 'age', 'gender', 'occupation', 'zip_code']\n", + "users = pd.read_table('http://bit.ly/movieusers', sep='|', header=None, names=user_cols)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
user_idagegenderoccupationzip_code
0124Mtechnician85711
1253Fother94043
2323Mwriter32067
3424Mtechnician43537
4533Fother15213
\n", + "
" + ], + "text/plain": [ + " user_id age gender occupation zip_code\n", + "0 1 24 M technician 85711\n", + "1 2 53 F other 94043\n", + "2 3 23 M writer 32067\n", + "3 4 24 M technician 43537\n", + "4 5 33 F other 15213" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the first 5 rows\n", + "users.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. How do I select a pandas Series from a DataFrame? ([video](https://www.youtube.com/watch?v=zxqjeyKP2Tk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=3))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# read a dataset of UFO reports into a DataFrame\n", + "ufo = pd.read_table('http://bit.ly/uforeports', sep=',')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# read_csv is equivalent to read_table, except it assumes a comma separator\n", + "ufo = pd.read_csv('http://bit.ly/uforeports')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the first 5 rows\n", + "ufo.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 Ithaca\n", + "1 Willingboro\n", + "2 Holyoke\n", + "3 Abilene\n", + "4 New York Worlds Fair\n", + "5 Valley City\n", + "6 Crater Lake\n", + "7 Alma\n", + "8 Eklutna\n", + "9 Hubbard\n", + "10 Fontana\n", + "11 Waterloo\n", + "12 Belton\n", + "13 Keokuk\n", + "14 Ludington\n", + "15 Forest Home\n", + "16 Los Angeles\n", + "17 Hapeville\n", + "18 Oneida\n", + "19 Bering Sea\n", + "20 Nebraska\n", + "21 NaN\n", + "22 NaN\n", + "23 Owensboro\n", + "24 Wilderness\n", + "25 San Diego\n", + "26 Wilderness\n", + "27 Clovis\n", + "28 Los Alamos\n", + "29 Ft. Duschene\n", + " ... \n", + "18211 Holyoke\n", + "18212 Carson\n", + "18213 Pasadena\n", + "18214 Austin\n", + "18215 El Campo\n", + "18216 Garden Grove\n", + "18217 Berthoud Pass\n", + "18218 Sisterdale\n", + "18219 Garden Grove\n", + "18220 Shasta Lake\n", + "18221 Franklin\n", + "18222 Albrightsville\n", + "18223 Greenville\n", + "18224 Eufaula\n", + "18225 Simi Valley\n", + "18226 San Francisco\n", + "18227 San Francisco\n", + "18228 Kingsville\n", + "18229 Chicago\n", + "18230 Pismo Beach\n", + "18231 Pismo Beach\n", + "18232 Lodi\n", + "18233 Anchorage\n", + "18234 Capitola\n", + "18235 Fountain Hills\n", + "18236 Grant Park\n", + "18237 Spirit Lake\n", + "18238 Eagle River\n", + "18239 Eagle River\n", + "18240 Ybor\n", + "Name: City, dtype: object" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# select the 'City' Series using bracket notation\n", + "ufo['City']\n", + "\n", + "# or equivalently, use dot notation\n", + "ufo.City" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Bracket notation** will always work, whereas **dot notation** has limitations:\n", + "\n", + "- Dot notation doesn't work if there are **spaces** in the Series name\n", + "- Dot notation doesn't work if the Series has the same name as a **DataFrame method or attribute** (like 'head' or 'shape')\n", + "- Dot notation can't be used to define the name of a **new Series** (see below)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTimeLocation
0IthacaNaNTRIANGLENY6/1/1930 22:00Ithaca, NY
1WillingboroNaNOTHERNJ6/30/1930 20:00Willingboro, NJ
2HolyokeNaNOVALCO2/15/1931 14:00Holyoke, CO
3AbileneNaNDISKKS6/1/1931 13:00Abilene, KS
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00New York Worlds Fair, NY
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time \\\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00 \n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00 \n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00 \n", + "3 Abilene NaN DISK KS 6/1/1931 13:00 \n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00 \n", + "\n", + " Location \n", + "0 Ithaca, NY \n", + "1 Willingboro, NJ \n", + "2 Holyoke, CO \n", + "3 Abilene, KS \n", + "4 New York Worlds Fair, NY " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a new 'Location' Series (must use bracket notation to define the Series name)\n", + "ufo['Location'] = ufo.City + ', ' + ufo.State\n", + "ufo.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Why do some pandas commands end with parentheses (and others don't)? ([video](https://www.youtube.com/watch?v=hSrDViyKWVk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=4))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# read a dataset of top-rated IMDb movies into a DataFrame\n", + "movies = pd.read_csv('http://bit.ly/imdbratings')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Methods** end with parentheses, while **attributes** don't:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
09.3The Shawshank RedemptionRCrime142[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...
19.2The GodfatherRCrime175[u'Marlon Brando', u'Al Pacino', u'James Caan']
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
39.0The Dark KnightPG-13Action152[u'Christian Bale', u'Heath Ledger', u'Aaron E...
48.9Pulp FictionRCrime154[u'John Travolta', u'Uma Thurman', u'Samuel L....
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre duration \\\n", + "0 9.3 The Shawshank Redemption R Crime 142 \n", + "1 9.2 The Godfather R Crime 175 \n", + "2 9.1 The Godfather: Part II R Crime 200 \n", + "3 9.0 The Dark Knight PG-13 Action 152 \n", + "4 8.9 Pulp Fiction R Crime 154 \n", + "\n", + " actors_list \n", + "0 [u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt... \n", + "1 [u'Marlon Brando', u'Al Pacino', u'James Caan'] \n", + "2 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "3 [u'Christian Bale', u'Heath Ledger', u'Aaron E... \n", + "4 [u'John Travolta', u'Uma Thurman', u'Samuel L.... " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# example method: show the first 5 rows\n", + "movies.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingduration
count979.000000979.000000
mean7.889785120.979571
std0.33606926.218010
min7.40000064.000000
25%7.600000102.000000
50%7.800000117.000000
75%8.100000134.000000
max9.300000242.000000
\n", + "
" + ], + "text/plain": [ + " star_rating duration\n", + "count 979.000000 979.000000\n", + "mean 7.889785 120.979571\n", + "std 0.336069 26.218010\n", + "min 7.400000 64.000000\n", + "25% 7.600000 102.000000\n", + "50% 7.800000 117.000000\n", + "75% 8.100000 134.000000\n", + "max 9.300000 242.000000" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# example method: calculate summary statistics\n", + "movies.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(979, 6)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# example attribute: number of rows and columns\n", + "movies.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "star_rating float64\n", + "title object\n", + "content_rating object\n", + "genre object\n", + "duration int64\n", + "actors_list object\n", + "dtype: object" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# example attribute: data type of each column\n", + "movies.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
titlecontent_ratinggenreactors_list
count979976979979
unique9751216969
topThe Girl with the Dragon TattooRDrama[u'Daniel Radcliffe', u'Emma Watson', u'Rupert...
freq24602786
\n", + "
" + ], + "text/plain": [ + " title content_rating genre \\\n", + "count 979 976 979 \n", + "unique 975 12 16 \n", + "top The Girl with the Dragon Tattoo R Drama \n", + "freq 2 460 278 \n", + "\n", + " actors_list \n", + "count 979 \n", + "unique 969 \n", + "top [u'Daniel Radcliffe', u'Emma Watson', u'Rupert... \n", + "freq 6 " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use an optional parameter to the describe method to summarize only 'object' columns\n", + "movies.describe(include=['object'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`describe`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.describe.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5. How do I rename columns in a pandas DataFrame? ([video](https://www.youtube.com/watch?v=0uBirYFhizE&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=5))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# read a dataset of UFO reports into a DataFrame\n", + "ufo = pd.read_csv('http://bit.ly/uforeports')" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index([u'City', u'Colors Reported', u'Shape Reported', u'State', u'Time'], dtype='object')" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the column names\n", + "ufo.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index([u'City', u'Colors_Reported', u'Shape_Reported', u'State', u'Time'], dtype='object')" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# rename two of the columns by using the 'rename' method\n", + "ufo.rename(columns={'Colors Reported':'Colors_Reported', 'Shape Reported':'Shape_Reported'}, inplace=True)\n", + "ufo.columns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`rename`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.rename.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index([u'city', u'colors reported', u'shape reported', u'state', u'time'], dtype='object')" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# replace all of the column names by overwriting the 'columns' attribute\n", + "ufo_cols = ['city', 'colors reported', 'shape reported', 'state', 'time']\n", + "ufo.columns = ufo_cols\n", + "ufo.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index([u'city', u'colors reported', u'shape reported', u'state', u'time'], dtype='object')" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# replace the column names during the file reading process by using the 'names' parameter\n", + "ufo = pd.read_csv('http://bit.ly/uforeports', header=0, names=ufo_cols)\n", + "ufo.columns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`read_csv`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index([u'city', u'colors_reported', u'shape_reported', u'state', u'time'], dtype='object')" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# replace all spaces with underscores in the column names by using the 'str.replace' method\n", + "ufo.columns = ufo.columns.str.replace(' ', '_')\n", + "ufo.columns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`str.replace`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.str.replace.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6. How do I remove columns from a pandas DataFrame? ([video](https://www.youtube.com/watch?v=gnUKkS964WQ&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=6))" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of UFO reports into a DataFrame\n", + "ufo = pd.read_csv('http://bit.ly/uforeports')\n", + "ufo.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityShape ReportedStateTime
0IthacaTRIANGLENY6/1/1930 22:00
1WillingboroOTHERNJ6/30/1930 20:00
2HolyokeOVALCO2/15/1931 14:00
3AbileneDISKKS6/1/1931 13:00
4New York Worlds FairLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " City Shape Reported State Time\n", + "0 Ithaca TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke OVAL CO 2/15/1931 14:00\n", + "3 Abilene DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# remove a single column (axis=1 refers to columns)\n", + "ufo.drop('Colors Reported', axis=1, inplace=True)\n", + "ufo.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`drop`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.drop.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Shape ReportedTime
0TRIANGLE6/1/1930 22:00
1OTHER6/30/1930 20:00
2OVAL2/15/1931 14:00
3DISK6/1/1931 13:00
4LIGHT4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " Shape Reported Time\n", + "0 TRIANGLE 6/1/1930 22:00\n", + "1 OTHER 6/30/1930 20:00\n", + "2 OVAL 2/15/1931 14:00\n", + "3 DISK 6/1/1931 13:00\n", + "4 LIGHT 4/18/1933 19:00" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# remove multiple columns at once\n", + "ufo.drop(['City', 'State'], axis=1, inplace=True)\n", + "ufo.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Shape ReportedTime
2OVAL2/15/1931 14:00
3DISK6/1/1931 13:00
4LIGHT4/18/1933 19:00
5DISK9/15/1934 15:30
6CIRCLE6/15/1935 0:00
\n", + "
" + ], + "text/plain": [ + " Shape Reported Time\n", + "2 OVAL 2/15/1931 14:00\n", + "3 DISK 6/1/1931 13:00\n", + "4 LIGHT 4/18/1933 19:00\n", + "5 DISK 9/15/1934 15:30\n", + "6 CIRCLE 6/15/1935 0:00" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# remove multiple rows at once (axis=0 refers to rows)\n", + "ufo.drop([0, 1], axis=0, inplace=True)\n", + "ufo.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 7. How do I sort a pandas DataFrame or a Series? ([video](https://www.youtube.com/watch?v=zY4doF6xSxY&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=7))" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
09.3The Shawshank RedemptionRCrime142[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...
19.2The GodfatherRCrime175[u'Marlon Brando', u'Al Pacino', u'James Caan']
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
39.0The Dark KnightPG-13Action152[u'Christian Bale', u'Heath Ledger', u'Aaron E...
48.9Pulp FictionRCrime154[u'John Travolta', u'Uma Thurman', u'Samuel L....
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre duration \\\n", + "0 9.3 The Shawshank Redemption R Crime 142 \n", + "1 9.2 The Godfather R Crime 175 \n", + "2 9.1 The Godfather: Part II R Crime 200 \n", + "3 9.0 The Dark Knight PG-13 Action 152 \n", + "4 8.9 Pulp Fiction R Crime 154 \n", + "\n", + " actors_list \n", + "0 [u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt... \n", + "1 [u'Marlon Brando', u'Al Pacino', u'James Caan'] \n", + "2 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "3 [u'Christian Bale', u'Heath Ledger', u'Aaron E... \n", + "4 [u'John Travolta', u'Uma Thurman', u'Samuel L.... " + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of top-rated IMDb movies into a DataFrame\n", + "movies = pd.read_csv('http://bit.ly/imdbratings')\n", + "movies.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Note:** None of the sorting methods below affect the underlying data. (In other words, the sorting is temporary)." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "542 (500) Days of Summer\n", + "5 12 Angry Men\n", + "201 12 Years a Slave\n", + "698 127 Hours\n", + "110 2001: A Space Odyssey\n", + "Name: title, dtype: object" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# sort the 'title' Series in ascending order (returns a Series)\n", + "movies.title.sort_values().head()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "864 [Rec]\n", + "526 Zulu\n", + "615 Zombieland\n", + "677 Zodiac\n", + "955 Zero Dark Thirty\n", + "Name: title, dtype: object" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# sort in descending order instead\n", + "movies.title.sort_values(ascending=False).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`sort_values`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.sort_values.html) for a **Series**. (Prior to version 0.17, use [**`order`**](http://pandas.pydata.org/pandas-docs/version/0.17.0/generated/pandas.Series.order.html) instead.)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
5427.8(500) Days of SummerPG-13Comedy95[u'Zooey Deschanel', u'Joseph Gordon-Levitt', ...
58.912 Angry MenNOT RATEDDrama96[u'Henry Fonda', u'Lee J. Cobb', u'Martin Bals...
2018.112 Years a SlaveRBiography134[u'Chiwetel Ejiofor', u'Michael Kenneth Willia...
6987.6127 HoursRAdventure94[u'James Franco', u'Amber Tamblyn', u'Kate Mara']
1108.32001: A Space OdysseyGMystery160[u'Keir Dullea', u'Gary Lockwood', u'William S...
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre duration \\\n", + "542 7.8 (500) Days of Summer PG-13 Comedy 95 \n", + "5 8.9 12 Angry Men NOT RATED Drama 96 \n", + "201 8.1 12 Years a Slave R Biography 134 \n", + "698 7.6 127 Hours R Adventure 94 \n", + "110 8.3 2001: A Space Odyssey G Mystery 160 \n", + "\n", + " actors_list \n", + "542 [u'Zooey Deschanel', u'Joseph Gordon-Levitt', ... \n", + "5 [u'Henry Fonda', u'Lee J. Cobb', u'Martin Bals... \n", + "201 [u'Chiwetel Ejiofor', u'Michael Kenneth Willia... \n", + "698 [u'James Franco', u'Amber Tamblyn', u'Kate Mara'] \n", + "110 [u'Keir Dullea', u'Gary Lockwood', u'William S... " + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# sort the entire DataFrame by the 'title' Series (returns a DataFrame)\n", + "movies.sort_values('title').head()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
8647.5[Rec]RHorror78[u'Manuela Velasco', u'Ferran Terraza', u'Jorg...
5267.8ZuluUNRATEDDrama138[u'Stanley Baker', u'Jack Hawkins', u'Ulla Jac...
6157.7ZombielandRComedy88[u'Jesse Eisenberg', u'Emma Stone', u'Woody Ha...
6777.7ZodiacRCrime157[u'Jake Gyllenhaal', u'Robert Downey Jr.', u'M...
9557.4Zero Dark ThirtyRDrama157[u'Jessica Chastain', u'Joel Edgerton', u'Chri...
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre duration \\\n", + "864 7.5 [Rec] R Horror 78 \n", + "526 7.8 Zulu UNRATED Drama 138 \n", + "615 7.7 Zombieland R Comedy 88 \n", + "677 7.7 Zodiac R Crime 157 \n", + "955 7.4 Zero Dark Thirty R Drama 157 \n", + "\n", + " actors_list \n", + "864 [u'Manuela Velasco', u'Ferran Terraza', u'Jorg... \n", + "526 [u'Stanley Baker', u'Jack Hawkins', u'Ulla Jac... \n", + "615 [u'Jesse Eisenberg', u'Emma Stone', u'Woody Ha... \n", + "677 [u'Jake Gyllenhaal', u'Robert Downey Jr.', u'M... \n", + "955 [u'Jessica Chastain', u'Joel Edgerton', u'Chri... " + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# sort in descending order instead\n", + "movies.sort_values('title', ascending=False).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`sort_values`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.sort_values.html) for a **DataFrame**. (Prior to version 0.17, use [**`sort`**](http://pandas.pydata.org/pandas-docs/version/0.17.0/generated/pandas.DataFrame.sort.html) instead.)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
7137.6The Jungle BookAPPROVEDAnimation78[u'Phil Harris', u'Sebastian Cabot', u'Louis P...
5137.8Invasion of the Body SnatchersAPPROVEDHorror80[u'Kevin McCarthy', u'Dana Wynter', u'Larry Ga...
2728.1The KillingAPPROVEDCrime85[u'Sterling Hayden', u'Coleen Gray', u'Vince E...
7037.6DraculaAPPROVEDHorror85[u'Bela Lugosi', u'Helen Chandler', u'David Ma...
6127.7A Hard Day's NightAPPROVEDComedy87[u'John Lennon', u'Paul McCartney', u'George H...
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre \\\n", + "713 7.6 The Jungle Book APPROVED Animation \n", + "513 7.8 Invasion of the Body Snatchers APPROVED Horror \n", + "272 8.1 The Killing APPROVED Crime \n", + "703 7.6 Dracula APPROVED Horror \n", + "612 7.7 A Hard Day's Night APPROVED Comedy \n", + "\n", + " duration actors_list \n", + "713 78 [u'Phil Harris', u'Sebastian Cabot', u'Louis P... \n", + "513 80 [u'Kevin McCarthy', u'Dana Wynter', u'Larry Ga... \n", + "272 85 [u'Sterling Hayden', u'Coleen Gray', u'Vince E... \n", + "703 85 [u'Bela Lugosi', u'Helen Chandler', u'David Ma... \n", + "612 87 [u'John Lennon', u'Paul McCartney', u'George H... " + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# sort the DataFrame first by 'content_rating', then by 'duration'\n", + "movies.sort_values(['content_rating', 'duration']).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Summary of changes to the sorting API](http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#changes-to-sorting-api) in pandas 0.17\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 8. How do I filter rows of a pandas DataFrame by column value? ([video](https://www.youtube.com/watch?v=2AFGPdNn4FM&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=8))" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
09.3The Shawshank RedemptionRCrime142[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...
19.2The GodfatherRCrime175[u'Marlon Brando', u'Al Pacino', u'James Caan']
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
39.0The Dark KnightPG-13Action152[u'Christian Bale', u'Heath Ledger', u'Aaron E...
48.9Pulp FictionRCrime154[u'John Travolta', u'Uma Thurman', u'Samuel L....
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre duration \\\n", + "0 9.3 The Shawshank Redemption R Crime 142 \n", + "1 9.2 The Godfather R Crime 175 \n", + "2 9.1 The Godfather: Part II R Crime 200 \n", + "3 9.0 The Dark Knight PG-13 Action 152 \n", + "4 8.9 Pulp Fiction R Crime 154 \n", + "\n", + " actors_list \n", + "0 [u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt... \n", + "1 [u'Marlon Brando', u'Al Pacino', u'James Caan'] \n", + "2 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "3 [u'Christian Bale', u'Heath Ledger', u'Aaron E... \n", + "4 [u'John Travolta', u'Uma Thurman', u'Samuel L.... " + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of top-rated IMDb movies into a DataFrame\n", + "movies = pd.read_csv('http://bit.ly/imdbratings')\n", + "movies.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(979, 6)" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the number of rows and columns\n", + "movies.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Goal:** Filter the DataFrame rows to only show movies with a 'duration' of at least 200 minutes." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# create a list in which each element refers to a DataFrame row: True if the row satisfies the condition, False otherwise\n", + "booleans = []\n", + "for length in movies.duration:\n", + " if length >= 200:\n", + " booleans.append(True)\n", + " else:\n", + " booleans.append(False)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "979" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# confirm that the list has the same length as the DataFrame\n", + "len(booleans)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[False, False, True, False, False]" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the first five list elements\n", + "booleans[0:5]" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 False\n", + "1 False\n", + "2 True\n", + "3 False\n", + "4 False\n", + "dtype: bool" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# convert the list to a Series\n", + "is_long = pd.Series(booleans)\n", + "is_long.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
78.9The Lord of the Rings: The Return of the KingPG-13Adventure201[u'Elijah Wood', u'Viggo Mortensen', u'Ian McK...
178.7Seven SamuraiUNRATEDDrama207[u'Toshir\\xf4 Mifune', u'Takashi Shimura', u'K...
788.4Once Upon a Time in AmericaRCrime229[u'Robert De Niro', u'James Woods', u'Elizabet...
858.4Lawrence of ArabiaPGAdventure216[u\"Peter O'Toole\", u'Alec Guinness', u'Anthony...
1428.3Lagaan: Once Upon a Time in IndiaPGAdventure224[u'Aamir Khan', u'Gracy Singh', u'Rachel Shell...
1578.2Gone with the WindGDrama238[u'Clark Gable', u'Vivien Leigh', u'Thomas Mit...
2048.1Ben-HurGAdventure212[u'Charlton Heston', u'Jack Hawkins', u'Stephe...
4457.9The Ten CommandmentsAPPROVEDAdventure220[u'Charlton Heston', u'Yul Brynner', u'Anne Ba...
4767.8HamletPG-13Drama242[u'Kenneth Branagh', u'Julie Christie', u'Dere...
6307.7Malcolm XPG-13Biography202[u'Denzel Washington', u'Angela Bassett', u'De...
7677.6It's a Mad, Mad, Mad, Mad WorldAPPROVEDAction205[u'Spencer Tracy', u'Milton Berle', u'Ethel Me...
\n", + "
" + ], + "text/plain": [ + " star_rating title \\\n", + "2 9.1 The Godfather: Part II \n", + "7 8.9 The Lord of the Rings: The Return of the King \n", + "17 8.7 Seven Samurai \n", + "78 8.4 Once Upon a Time in America \n", + "85 8.4 Lawrence of Arabia \n", + "142 8.3 Lagaan: Once Upon a Time in India \n", + "157 8.2 Gone with the Wind \n", + "204 8.1 Ben-Hur \n", + "445 7.9 The Ten Commandments \n", + "476 7.8 Hamlet \n", + "630 7.7 Malcolm X \n", + "767 7.6 It's a Mad, Mad, Mad, Mad World \n", + "\n", + " content_rating genre duration \\\n", + "2 R Crime 200 \n", + "7 PG-13 Adventure 201 \n", + "17 UNRATED Drama 207 \n", + "78 R Crime 229 \n", + "85 PG Adventure 216 \n", + "142 PG Adventure 224 \n", + "157 G Drama 238 \n", + "204 G Adventure 212 \n", + "445 APPROVED Adventure 220 \n", + "476 PG-13 Drama 242 \n", + "630 PG-13 Biography 202 \n", + "767 APPROVED Action 205 \n", + "\n", + " actors_list \n", + "2 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "7 [u'Elijah Wood', u'Viggo Mortensen', u'Ian McK... \n", + "17 [u'Toshir\\xf4 Mifune', u'Takashi Shimura', u'K... \n", + "78 [u'Robert De Niro', u'James Woods', u'Elizabet... \n", + "85 [u\"Peter O'Toole\", u'Alec Guinness', u'Anthony... \n", + "142 [u'Aamir Khan', u'Gracy Singh', u'Rachel Shell... \n", + "157 [u'Clark Gable', u'Vivien Leigh', u'Thomas Mit... \n", + "204 [u'Charlton Heston', u'Jack Hawkins', u'Stephe... \n", + "445 [u'Charlton Heston', u'Yul Brynner', u'Anne Ba... \n", + "476 [u'Kenneth Branagh', u'Julie Christie', u'Dere... \n", + "630 [u'Denzel Washington', u'Angela Bassett', u'De... \n", + "767 [u'Spencer Tracy', u'Milton Berle', u'Ethel Me... " + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use bracket notation with the boolean Series to tell the DataFrame which rows to display\n", + "movies[is_long]" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
78.9The Lord of the Rings: The Return of the KingPG-13Adventure201[u'Elijah Wood', u'Viggo Mortensen', u'Ian McK...
178.7Seven SamuraiUNRATEDDrama207[u'Toshir\\xf4 Mifune', u'Takashi Shimura', u'K...
788.4Once Upon a Time in AmericaRCrime229[u'Robert De Niro', u'James Woods', u'Elizabet...
858.4Lawrence of ArabiaPGAdventure216[u\"Peter O'Toole\", u'Alec Guinness', u'Anthony...
1428.3Lagaan: Once Upon a Time in IndiaPGAdventure224[u'Aamir Khan', u'Gracy Singh', u'Rachel Shell...
1578.2Gone with the WindGDrama238[u'Clark Gable', u'Vivien Leigh', u'Thomas Mit...
2048.1Ben-HurGAdventure212[u'Charlton Heston', u'Jack Hawkins', u'Stephe...
4457.9The Ten CommandmentsAPPROVEDAdventure220[u'Charlton Heston', u'Yul Brynner', u'Anne Ba...
4767.8HamletPG-13Drama242[u'Kenneth Branagh', u'Julie Christie', u'Dere...
6307.7Malcolm XPG-13Biography202[u'Denzel Washington', u'Angela Bassett', u'De...
7677.6It's a Mad, Mad, Mad, Mad WorldAPPROVEDAction205[u'Spencer Tracy', u'Milton Berle', u'Ethel Me...
\n", + "
" + ], + "text/plain": [ + " star_rating title \\\n", + "2 9.1 The Godfather: Part II \n", + "7 8.9 The Lord of the Rings: The Return of the King \n", + "17 8.7 Seven Samurai \n", + "78 8.4 Once Upon a Time in America \n", + "85 8.4 Lawrence of Arabia \n", + "142 8.3 Lagaan: Once Upon a Time in India \n", + "157 8.2 Gone with the Wind \n", + "204 8.1 Ben-Hur \n", + "445 7.9 The Ten Commandments \n", + "476 7.8 Hamlet \n", + "630 7.7 Malcolm X \n", + "767 7.6 It's a Mad, Mad, Mad, Mad World \n", + "\n", + " content_rating genre duration \\\n", + "2 R Crime 200 \n", + "7 PG-13 Adventure 201 \n", + "17 UNRATED Drama 207 \n", + "78 R Crime 229 \n", + "85 PG Adventure 216 \n", + "142 PG Adventure 224 \n", + "157 G Drama 238 \n", + "204 G Adventure 212 \n", + "445 APPROVED Adventure 220 \n", + "476 PG-13 Drama 242 \n", + "630 PG-13 Biography 202 \n", + "767 APPROVED Action 205 \n", + "\n", + " actors_list \n", + "2 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "7 [u'Elijah Wood', u'Viggo Mortensen', u'Ian McK... \n", + "17 [u'Toshir\\xf4 Mifune', u'Takashi Shimura', u'K... \n", + "78 [u'Robert De Niro', u'James Woods', u'Elizabet... \n", + "85 [u\"Peter O'Toole\", u'Alec Guinness', u'Anthony... \n", + "142 [u'Aamir Khan', u'Gracy Singh', u'Rachel Shell... \n", + "157 [u'Clark Gable', u'Vivien Leigh', u'Thomas Mit... \n", + "204 [u'Charlton Heston', u'Jack Hawkins', u'Stephe... \n", + "445 [u'Charlton Heston', u'Yul Brynner', u'Anne Ba... \n", + "476 [u'Kenneth Branagh', u'Julie Christie', u'Dere... \n", + "630 [u'Denzel Washington', u'Angela Bassett', u'De... \n", + "767 [u'Spencer Tracy', u'Milton Berle', u'Ethel Me... " + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# simplify the steps above: no need to write a for loop to create 'is_long' since pandas will broadcast the comparison\n", + "is_long = movies.duration >= 200\n", + "movies[is_long]\n", + "\n", + "# or equivalently, write it in one line (no need to create the 'is_long' object)\n", + "movies[movies.duration >= 200]" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "2 Crime\n", + "7 Adventure\n", + "17 Drama\n", + "78 Crime\n", + "85 Adventure\n", + "142 Adventure\n", + "157 Drama\n", + "204 Adventure\n", + "445 Adventure\n", + "476 Drama\n", + "630 Biography\n", + "767 Action\n", + "Name: genre, dtype: object" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# select the 'genre' Series from the filtered DataFrame\n", + "movies[movies.duration >= 200].genre\n", + "\n", + "# or equivalently, use the 'loc' method\n", + "movies.loc[movies.duration >= 200, 'genre']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`loc`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.loc.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 9. How do I apply multiple filter criteria to a pandas DataFrame? ([video](https://www.youtube.com/watch?v=YPItfQ87qjM&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=9))" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
09.3The Shawshank RedemptionRCrime142[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...
19.2The GodfatherRCrime175[u'Marlon Brando', u'Al Pacino', u'James Caan']
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
39.0The Dark KnightPG-13Action152[u'Christian Bale', u'Heath Ledger', u'Aaron E...
48.9Pulp FictionRCrime154[u'John Travolta', u'Uma Thurman', u'Samuel L....
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre duration \\\n", + "0 9.3 The Shawshank Redemption R Crime 142 \n", + "1 9.2 The Godfather R Crime 175 \n", + "2 9.1 The Godfather: Part II R Crime 200 \n", + "3 9.0 The Dark Knight PG-13 Action 152 \n", + "4 8.9 Pulp Fiction R Crime 154 \n", + "\n", + " actors_list \n", + "0 [u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt... \n", + "1 [u'Marlon Brando', u'Al Pacino', u'James Caan'] \n", + "2 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "3 [u'Christian Bale', u'Heath Ledger', u'Aaron E... \n", + "4 [u'John Travolta', u'Uma Thurman', u'Samuel L.... " + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of top-rated IMDb movies into a DataFrame\n", + "movies = pd.read_csv('http://bit.ly/imdbratings')\n", + "movies.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
78.9The Lord of the Rings: The Return of the KingPG-13Adventure201[u'Elijah Wood', u'Viggo Mortensen', u'Ian McK...
178.7Seven SamuraiUNRATEDDrama207[u'Toshir\\xf4 Mifune', u'Takashi Shimura', u'K...
788.4Once Upon a Time in AmericaRCrime229[u'Robert De Niro', u'James Woods', u'Elizabet...
858.4Lawrence of ArabiaPGAdventure216[u\"Peter O'Toole\", u'Alec Guinness', u'Anthony...
1428.3Lagaan: Once Upon a Time in IndiaPGAdventure224[u'Aamir Khan', u'Gracy Singh', u'Rachel Shell...
1578.2Gone with the WindGDrama238[u'Clark Gable', u'Vivien Leigh', u'Thomas Mit...
2048.1Ben-HurGAdventure212[u'Charlton Heston', u'Jack Hawkins', u'Stephe...
4457.9The Ten CommandmentsAPPROVEDAdventure220[u'Charlton Heston', u'Yul Brynner', u'Anne Ba...
4767.8HamletPG-13Drama242[u'Kenneth Branagh', u'Julie Christie', u'Dere...
6307.7Malcolm XPG-13Biography202[u'Denzel Washington', u'Angela Bassett', u'De...
7677.6It's a Mad, Mad, Mad, Mad WorldAPPROVEDAction205[u'Spencer Tracy', u'Milton Berle', u'Ethel Me...
\n", + "
" + ], + "text/plain": [ + " star_rating title \\\n", + "2 9.1 The Godfather: Part II \n", + "7 8.9 The Lord of the Rings: The Return of the King \n", + "17 8.7 Seven Samurai \n", + "78 8.4 Once Upon a Time in America \n", + "85 8.4 Lawrence of Arabia \n", + "142 8.3 Lagaan: Once Upon a Time in India \n", + "157 8.2 Gone with the Wind \n", + "204 8.1 Ben-Hur \n", + "445 7.9 The Ten Commandments \n", + "476 7.8 Hamlet \n", + "630 7.7 Malcolm X \n", + "767 7.6 It's a Mad, Mad, Mad, Mad World \n", + "\n", + " content_rating genre duration \\\n", + "2 R Crime 200 \n", + "7 PG-13 Adventure 201 \n", + "17 UNRATED Drama 207 \n", + "78 R Crime 229 \n", + "85 PG Adventure 216 \n", + "142 PG Adventure 224 \n", + "157 G Drama 238 \n", + "204 G Adventure 212 \n", + "445 APPROVED Adventure 220 \n", + "476 PG-13 Drama 242 \n", + "630 PG-13 Biography 202 \n", + "767 APPROVED Action 205 \n", + "\n", + " actors_list \n", + "2 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "7 [u'Elijah Wood', u'Viggo Mortensen', u'Ian McK... \n", + "17 [u'Toshir\\xf4 Mifune', u'Takashi Shimura', u'K... \n", + "78 [u'Robert De Niro', u'James Woods', u'Elizabet... \n", + "85 [u\"Peter O'Toole\", u'Alec Guinness', u'Anthony... \n", + "142 [u'Aamir Khan', u'Gracy Singh', u'Rachel Shell... \n", + "157 [u'Clark Gable', u'Vivien Leigh', u'Thomas Mit... \n", + "204 [u'Charlton Heston', u'Jack Hawkins', u'Stephe... \n", + "445 [u'Charlton Heston', u'Yul Brynner', u'Anne Ba... \n", + "476 [u'Kenneth Branagh', u'Julie Christie', u'Dere... \n", + "630 [u'Denzel Washington', u'Angela Bassett', u'De... \n", + "767 [u'Spencer Tracy', u'Milton Berle', u'Ethel Me... " + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# filter the DataFrame to only show movies with a 'duration' of at least 200 minutes\n", + "movies[movies.duration >= 200]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Understanding **logical operators:**\n", + "\n", + "- **`and`**: True only if **both sides** of the operator are True\n", + "- **`or`**: True if **either side** of the operator is True" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True\n", + "False\n", + "False\n" + ] + } + ], + "source": [ + "# demonstration of the 'and' operator\n", + "print(True and True)\n", + "print(True and False)\n", + "print(False and False)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True\n", + "True\n", + "False\n" + ] + } + ], + "source": [ + "# demonstration of the 'or' operator\n", + "print(True or True)\n", + "print(True or False)\n", + "print(False or False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Rules for specifying **multiple filter criteria** in pandas:\n", + "\n", + "- use **`&`** instead of **`and`**\n", + "- use **`|`** instead of **`or`**\n", + "- add **parentheses** around each condition to specify evaluation order" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Goal:** Further filter the DataFrame of long movies (duration >= 200) to only show movies which also have a 'genre' of 'Drama'" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
178.7Seven SamuraiUNRATEDDrama207[u'Toshir\\xf4 Mifune', u'Takashi Shimura', u'K...
1578.2Gone with the WindGDrama238[u'Clark Gable', u'Vivien Leigh', u'Thomas Mit...
4767.8HamletPG-13Drama242[u'Kenneth Branagh', u'Julie Christie', u'Dere...
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre duration \\\n", + "17 8.7 Seven Samurai UNRATED Drama 207 \n", + "157 8.2 Gone with the Wind G Drama 238 \n", + "476 7.8 Hamlet PG-13 Drama 242 \n", + "\n", + " actors_list \n", + "17 [u'Toshir\\xf4 Mifune', u'Takashi Shimura', u'K... \n", + "157 [u'Clark Gable', u'Vivien Leigh', u'Thomas Mit... \n", + "476 [u'Kenneth Branagh', u'Julie Christie', u'Dere... " + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# CORRECT: use the '&' operator to specify that both conditions are required\n", + "movies[(movies.duration >=200) & (movies.genre == 'Drama')]" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
58.912 Angry MenNOT RATEDDrama96[u'Henry Fonda', u'Lee J. Cobb', u'Martin Bals...
78.9The Lord of the Rings: The Return of the KingPG-13Adventure201[u'Elijah Wood', u'Viggo Mortensen', u'Ian McK...
98.9Fight ClubRDrama139[u'Brad Pitt', u'Edward Norton', u'Helena Bonh...
138.8Forrest GumpPG-13Drama142[u'Tom Hanks', u'Robin Wright', u'Gary Sinise']
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating \\\n", + "2 9.1 The Godfather: Part II R \n", + "5 8.9 12 Angry Men NOT RATED \n", + "7 8.9 The Lord of the Rings: The Return of the King PG-13 \n", + "9 8.9 Fight Club R \n", + "13 8.8 Forrest Gump PG-13 \n", + "\n", + " genre duration actors_list \n", + "2 Crime 200 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "5 Drama 96 [u'Henry Fonda', u'Lee J. Cobb', u'Martin Bals... \n", + "7 Adventure 201 [u'Elijah Wood', u'Viggo Mortensen', u'Ian McK... \n", + "9 Drama 139 [u'Brad Pitt', u'Edward Norton', u'Helena Bonh... \n", + "13 Drama 142 [u'Tom Hanks', u'Robin Wright', u'Gary Sinise'] " + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# INCORRECT: using the '|' operator would have shown movies that are either long or dramas (or both)\n", + "movies[(movies.duration >=200) | (movies.genre == 'Drama')].head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Goal:** Filter the original DataFrame to show movies with a 'genre' of 'Crime' or 'Drama' or 'Action'" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
09.3The Shawshank RedemptionRCrime142[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...
19.2The GodfatherRCrime175[u'Marlon Brando', u'Al Pacino', u'James Caan']
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
39.0The Dark KnightPG-13Action152[u'Christian Bale', u'Heath Ledger', u'Aaron E...
48.9Pulp FictionRCrime154[u'John Travolta', u'Uma Thurman', u'Samuel L....
58.912 Angry MenNOT RATEDDrama96[u'Henry Fonda', u'Lee J. Cobb', u'Martin Bals...
98.9Fight ClubRDrama139[u'Brad Pitt', u'Edward Norton', u'Helena Bonh...
118.8InceptionPG-13Action148[u'Leonardo DiCaprio', u'Joseph Gordon-Levitt'...
128.8Star Wars: Episode V - The Empire Strikes BackPGAction124[u'Mark Hamill', u'Harrison Ford', u'Carrie Fi...
138.8Forrest GumpPG-13Drama142[u'Tom Hanks', u'Robin Wright', u'Gary Sinise']
\n", + "
" + ], + "text/plain": [ + " star_rating title \\\n", + "0 9.3 The Shawshank Redemption \n", + "1 9.2 The Godfather \n", + "2 9.1 The Godfather: Part II \n", + "3 9.0 The Dark Knight \n", + "4 8.9 Pulp Fiction \n", + "5 8.9 12 Angry Men \n", + "9 8.9 Fight Club \n", + "11 8.8 Inception \n", + "12 8.8 Star Wars: Episode V - The Empire Strikes Back \n", + "13 8.8 Forrest Gump \n", + "\n", + " content_rating genre duration \\\n", + "0 R Crime 142 \n", + "1 R Crime 175 \n", + "2 R Crime 200 \n", + "3 PG-13 Action 152 \n", + "4 R Crime 154 \n", + "5 NOT RATED Drama 96 \n", + "9 R Drama 139 \n", + "11 PG-13 Action 148 \n", + "12 PG Action 124 \n", + "13 PG-13 Drama 142 \n", + "\n", + " actors_list \n", + "0 [u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt... \n", + "1 [u'Marlon Brando', u'Al Pacino', u'James Caan'] \n", + "2 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "3 [u'Christian Bale', u'Heath Ledger', u'Aaron E... \n", + "4 [u'John Travolta', u'Uma Thurman', u'Samuel L.... \n", + "5 [u'Henry Fonda', u'Lee J. Cobb', u'Martin Bals... \n", + "9 [u'Brad Pitt', u'Edward Norton', u'Helena Bonh... \n", + "11 [u'Leonardo DiCaprio', u'Joseph Gordon-Levitt'... \n", + "12 [u'Mark Hamill', u'Harrison Ford', u'Carrie Fi... \n", + "13 [u'Tom Hanks', u'Robin Wright', u'Gary Sinise'] " + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use the '|' operator to specify that a row can match any of the three criteria\n", + "movies[(movies.genre == 'Crime') | (movies.genre == 'Drama') | (movies.genre == 'Action')].head(10)\n", + "\n", + "# or equivalently, use the 'isin' method\n", + "movies[movies.genre.isin(['Crime', 'Drama', 'Action'])].head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`isin`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.isin.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 10. Your pandas questions answered! ([video](https://www.youtube.com/watch?v=B-r9VuK80dk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=10))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Question:** When reading from a file, how do I read in only a subset of the columns?" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index([u'City', u'Colors Reported', u'Shape Reported', u'State', u'Time'], dtype='object')" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of UFO reports into a DataFrame, and check the columns\n", + "ufo = pd.read_csv('http://bit.ly/uforeports')\n", + "ufo.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index([u'City', u'Time'], dtype='object')" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# specify which columns to include by name\n", + "ufo = pd.read_csv('http://bit.ly/uforeports', usecols=['City', 'State'])\n", + "\n", + "# or equivalently, specify columns by position\n", + "ufo = pd.read_csv('http://bit.ly/uforeports', usecols=[0, 4])\n", + "ufo.columns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Question:** When reading from a file, how do I read in only a subset of the rows?" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# specify how many rows to read\n", + "ufo = pd.read_csv('http://bit.ly/uforeports', nrows=3)\n", + "ufo" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`read_csv`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Question:** How do I iterate through a Series?" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ithaca\n", + "Willingboro\n", + "Holyoke\n" + ] + } + ], + "source": [ + "# Series are directly iterable (like a list)\n", + "for c in ufo.City:\n", + " print(c)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Question:** How do I iterate through a DataFrame?" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(0, 'Ithaca', 'NY')\n", + "(1, 'Willingboro', 'NJ')\n", + "(2, 'Holyoke', 'CO')\n" + ] + } + ], + "source": [ + "# various methods are available to iterate through a DataFrame\n", + "for index, row in ufo.iterrows():\n", + " print(index, row.City, row.State)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`iterrows`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.iterrows.html)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Question:** How do I drop all non-numeric columns from a DataFrame?" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "country object\n", + "beer_servings int64\n", + "spirit_servings int64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "continent object\n", + "dtype: object" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of alcohol consumption into a DataFrame, and check the data types\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry')\n", + "drinks.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "beer_servings int64\n", + "spirit_servings int64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "dtype: object" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# only include numeric columns in the DataFrame\n", + "import numpy as np\n", + "drinks.select_dtypes(include=[np.number]).dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`select_dtypes`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.select_dtypes.html)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Question:** How do I know whether I should pass an argument as a string or a list?" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
beer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcohol
count193.000000193.000000193.000000193.000000
mean106.16062280.99481949.4507774.717098
std101.14310388.28431279.6975983.773298
min0.0000000.0000000.0000000.000000
25%20.0000004.0000001.0000001.300000
50%76.00000056.0000008.0000004.200000
75%188.000000128.00000059.0000007.200000
max376.000000438.000000370.00000014.400000
\n", + "
" + ], + "text/plain": [ + " beer_servings spirit_servings wine_servings \\\n", + "count 193.000000 193.000000 193.000000 \n", + "mean 106.160622 80.994819 49.450777 \n", + "std 101.143103 88.284312 79.697598 \n", + "min 0.000000 0.000000 0.000000 \n", + "25% 20.000000 4.000000 1.000000 \n", + "50% 76.000000 56.000000 8.000000 \n", + "75% 188.000000 128.000000 59.000000 \n", + "max 376.000000 438.000000 370.000000 \n", + "\n", + " total_litres_of_pure_alcohol \n", + "count 193.000000 \n", + "mean 4.717098 \n", + "std 3.773298 \n", + "min 0.000000 \n", + "25% 1.300000 \n", + "50% 4.200000 \n", + "75% 7.200000 \n", + "max 14.400000 " + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# describe all of the numeric columns\n", + "drinks.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
count193193.000000193.000000193.000000193.000000193
unique193NaNNaNNaNNaN6
topLesothoNaNNaNNaNNaNAfrica
freq1NaNNaNNaNNaN53
meanNaN106.16062280.99481949.4507774.717098NaN
stdNaN101.14310388.28431279.6975983.773298NaN
minNaN0.0000000.0000000.0000000.000000NaN
25%NaN20.0000004.0000001.0000001.300000NaN
50%NaN76.00000056.0000008.0000004.200000NaN
75%NaN188.000000128.00000059.0000007.200000NaN
maxNaN376.000000438.000000370.00000014.400000NaN
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "count 193 193.000000 193.000000 193.000000 \n", + "unique 193 NaN NaN NaN \n", + "top Lesotho NaN NaN NaN \n", + "freq 1 NaN NaN NaN \n", + "mean NaN 106.160622 80.994819 49.450777 \n", + "std NaN 101.143103 88.284312 79.697598 \n", + "min NaN 0.000000 0.000000 0.000000 \n", + "25% NaN 20.000000 4.000000 1.000000 \n", + "50% NaN 76.000000 56.000000 8.000000 \n", + "75% NaN 188.000000 128.000000 59.000000 \n", + "max NaN 376.000000 438.000000 370.000000 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "count 193.000000 193 \n", + "unique NaN 6 \n", + "top NaN Africa \n", + "freq NaN 53 \n", + "mean 4.717098 NaN \n", + "std 3.773298 NaN \n", + "min 0.000000 NaN \n", + "25% 1.300000 NaN \n", + "50% 4.200000 NaN \n", + "75% 7.200000 NaN \n", + "max 14.400000 NaN " + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# pass the string 'all' to describe all columns\n", + "drinks.describe(include='all')" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrytotal_litres_of_pure_alcoholcontinent
count193193.000000193
unique193NaN6
topLesothoNaNAfrica
freq1NaN53
meanNaN4.717098NaN
stdNaN3.773298NaN
minNaN0.000000NaN
25%NaN1.300000NaN
50%NaN4.200000NaN
75%NaN7.200000NaN
maxNaN14.400000NaN
\n", + "
" + ], + "text/plain": [ + " country total_litres_of_pure_alcohol continent\n", + "count 193 193.000000 193\n", + "unique 193 NaN 6\n", + "top Lesotho NaN Africa\n", + "freq 1 NaN 53\n", + "mean NaN 4.717098 NaN\n", + "std NaN 3.773298 NaN\n", + "min NaN 0.000000 NaN\n", + "25% NaN 1.300000 NaN\n", + "50% NaN 4.200000 NaN\n", + "75% NaN 7.200000 NaN\n", + "max NaN 14.400000 NaN" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# pass a list of data types to only describe certain types\n", + "drinks.describe(include=['object', 'float64'])" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrycontinent
count193193
unique1936
topLesothoAfrica
freq153
\n", + "
" + ], + "text/plain": [ + " country continent\n", + "count 193 193\n", + "unique 193 6\n", + "top Lesotho Africa\n", + "freq 1 53" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# pass a list even if you only want to describe a single data type\n", + "drinks.describe(include=['object'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`describe`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.describe.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 11. How do I use the \"axis\" parameter in pandas? ([video](https://www.youtube.com/watch?v=PtO3t6ynH-8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=11))" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa " + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of alcohol consumption into a DataFrame\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry')\n", + "drinks.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcohol
0Afghanistan0000.0
1Albania89132544.9
2Algeria250140.7
3Andorra24513831212.4
4Angola21757455.9
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol \n", + "0 0.0 \n", + "1 4.9 \n", + "2 0.7 \n", + "3 12.4 \n", + "4 5.9 " + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# drop a column (temporarily)\n", + "drinks.drop('continent', axis=1).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`drop`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.drop.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
3Andorra24513831212.4Europe
4Angola21757455.9Africa
5Antigua & Barbuda102128454.9North America
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "5 Antigua & Barbuda 102 128 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "3 12.4 Europe \n", + "4 5.9 Africa \n", + "5 4.9 North America " + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# drop a row (temporarily)\n", + "drinks.drop(2, axis=0).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "When **referring to rows or columns** with the axis parameter:\n", + "\n", + "- **axis 0** refers to rows\n", + "- **axis 1** refers to columns" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "beer_servings 106.160622\n", + "spirit_servings 80.994819\n", + "wine_servings 49.450777\n", + "total_litres_of_pure_alcohol 4.717098\n", + "dtype: float64" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# calculate the mean of each numeric column\n", + "drinks.mean()\n", + "\n", + "# or equivalently, specify the axis explicitly\n", + "drinks.mean(axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`mean`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.mean.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 0.000\n", + "1 69.975\n", + "2 9.925\n", + "3 176.850\n", + "4 81.225\n", + "dtype: float64" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# calculate the mean of each row\n", + "drinks.mean(axis=1).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "When performing a **mathematical operation** with the axis parameter:\n", + "\n", + "- **axis 0** means the operation should \"move down\" the row axis\n", + "- **axis 1** means the operation should \"move across\" the column axis" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "beer_servings 106.160622\n", + "spirit_servings 80.994819\n", + "wine_servings 49.450777\n", + "total_litres_of_pure_alcohol 4.717098\n", + "dtype: float64" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'index' is an alias for axis 0\n", + "drinks.mean(axis='index')" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 0.000\n", + "1 69.975\n", + "2 9.925\n", + "3 176.850\n", + "4 81.225\n", + "dtype: float64" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'columns' is an alias for axis 1\n", + "drinks.mean(axis='columns').head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 12. How do I use string methods in pandas? ([video](https://www.youtube.com/watch?v=bofaC0IckHo&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=12))" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
order_idquantityitem_namechoice_descriptionitem_price
011Chips and Fresh Tomato SalsaNaN$2.39
111Izze[Clementine]$3.39
211Nantucket Nectar[Apple]$3.39
311Chips and Tomatillo-Green Chili SalsaNaN$2.39
422Chicken Bowl[Tomatillo-Red Chili Salsa (Hot), [Black Beans...$16.98
\n", + "
" + ], + "text/plain": [ + " order_id quantity item_name \\\n", + "0 1 1 Chips and Fresh Tomato Salsa \n", + "1 1 1 Izze \n", + "2 1 1 Nantucket Nectar \n", + "3 1 1 Chips and Tomatillo-Green Chili Salsa \n", + "4 2 2 Chicken Bowl \n", + "\n", + " choice_description item_price \n", + "0 NaN $2.39 \n", + "1 [Clementine] $3.39 \n", + "2 [Apple] $3.39 \n", + "3 NaN $2.39 \n", + "4 [Tomatillo-Red Chili Salsa (Hot), [Black Beans... $16.98 " + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of Chipotle orders into a DataFrame\n", + "orders = pd.read_table('http://bit.ly/chiporders')\n", + "orders.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'HELLO'" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# normal way to access string methods in Python\n", + "'hello'.upper()" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 CHIPS AND FRESH TOMATO SALSA\n", + "1 IZZE\n", + "2 NANTUCKET NECTAR\n", + "3 CHIPS AND TOMATILLO-GREEN CHILI SALSA\n", + "4 CHICKEN BOWL\n", + "Name: item_name, dtype: object" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# string methods for pandas Series are accessed via 'str'\n", + "orders.item_name.str.upper().head()" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 False\n", + "1 False\n", + "2 False\n", + "3 False\n", + "4 True\n", + "Name: item_name, dtype: bool" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# string method 'contains' checks for a substring and returns a boolean Series\n", + "orders.item_name.str.contains('Chicken').head()" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
order_idquantityitem_namechoice_descriptionitem_price
422Chicken Bowl[Tomatillo-Red Chili Salsa (Hot), [Black Beans...$16.98
531Chicken Bowl[Fresh Tomato Salsa (Mild), [Rice, Cheese, Sou...$10.98
1161Chicken Crispy Tacos[Roasted Chili Corn Salsa, [Fajita Vegetables,...$8.75
1261Chicken Soft Tacos[Roasted Chili Corn Salsa, [Rice, Black Beans,...$8.75
1371Chicken Bowl[Fresh Tomato Salsa, [Fajita Vegetables, Rice,...$11.25
\n", + "
" + ], + "text/plain": [ + " order_id quantity item_name \\\n", + "4 2 2 Chicken Bowl \n", + "5 3 1 Chicken Bowl \n", + "11 6 1 Chicken Crispy Tacos \n", + "12 6 1 Chicken Soft Tacos \n", + "13 7 1 Chicken Bowl \n", + "\n", + " choice_description item_price \n", + "4 [Tomatillo-Red Chili Salsa (Hot), [Black Beans... $16.98 \n", + "5 [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sou... $10.98 \n", + "11 [Roasted Chili Corn Salsa, [Fajita Vegetables,... $8.75 \n", + "12 [Roasted Chili Corn Salsa, [Rice, Black Beans,... $8.75 \n", + "13 [Fresh Tomato Salsa, [Fajita Vegetables, Rice,... $11.25 " + ] + }, + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use the boolean Series to filter the DataFrame\n", + "orders[orders.item_name.str.contains('Chicken')].head()" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 NaN\n", + "1 Clementine\n", + "2 Apple\n", + "3 NaN\n", + "4 Tomatillo-Red Chili Salsa (Hot), Black Beans, ...\n", + "Name: choice_description, dtype: object" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# string methods can be chained together\n", + "orders.choice_description.str.replace('[', '').str.replace(']', '').head()" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 NaN\n", + "1 Clementine\n", + "2 Apple\n", + "3 NaN\n", + "4 Tomatillo-Red Chili Salsa (Hot), Black Beans, ...\n", + "Name: choice_description, dtype: object" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# many pandas string methods support regular expressions (regex)\n", + "orders.choice_description.str.replace('[\\[\\]]', '').head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[String handling section](http://pandas.pydata.org/pandas-docs/stable/api.html#string-handling) of the pandas API reference\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 13. How do I change the data type of a pandas Series? ([video](https://www.youtube.com/watch?v=V0AWyzVMf54&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=13))" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa " + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of alcohol consumption into a DataFrame\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry')\n", + "drinks.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "country object\n", + "beer_servings int64\n", + "spirit_servings int64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "continent object\n", + "dtype: object" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the data type of each Series\n", + "drinks.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "country object\n", + "beer_servings float64\n", + "spirit_servings int64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "continent object\n", + "dtype: object" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# change the data type of an existing Series\n", + "drinks['beer_servings'] = drinks.beer_servings.astype(float)\n", + "drinks.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`astype`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.astype.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "country object\n", + "beer_servings float64\n", + "spirit_servings int64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "continent object\n", + "dtype: object" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# alternatively, change the data type of a Series while reading in a file\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry', dtype={'beer_servings':float})\n", + "drinks.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
order_idquantityitem_namechoice_descriptionitem_price
011Chips and Fresh Tomato SalsaNaN$2.39
111Izze[Clementine]$3.39
211Nantucket Nectar[Apple]$3.39
311Chips and Tomatillo-Green Chili SalsaNaN$2.39
422Chicken Bowl[Tomatillo-Red Chili Salsa (Hot), [Black Beans...$16.98
\n", + "
" + ], + "text/plain": [ + " order_id quantity item_name \\\n", + "0 1 1 Chips and Fresh Tomato Salsa \n", + "1 1 1 Izze \n", + "2 1 1 Nantucket Nectar \n", + "3 1 1 Chips and Tomatillo-Green Chili Salsa \n", + "4 2 2 Chicken Bowl \n", + "\n", + " choice_description item_price \n", + "0 NaN $2.39 \n", + "1 [Clementine] $3.39 \n", + "2 [Apple] $3.39 \n", + "3 NaN $2.39 \n", + "4 [Tomatillo-Red Chili Salsa (Hot), [Black Beans... $16.98 " + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of Chipotle orders into a DataFrame\n", + "orders = pd.read_table('http://bit.ly/chiporders')\n", + "orders.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "order_id int64\n", + "quantity int64\n", + "item_name object\n", + "choice_description object\n", + "item_price object\n", + "dtype: object" + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the data type of each Series\n", + "orders.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "7.464335785374397" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# convert a string to a number in order to do math\n", + "orders.item_price.str.replace('$', '').astype(float).mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 False\n", + "1 False\n", + "2 False\n", + "3 False\n", + "4 True\n", + "Name: item_name, dtype: bool" + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# string method 'contains' checks for a substring and returns a boolean Series\n", + "orders.item_name.str.contains('Chicken').head()" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 0\n", + "1 0\n", + "2 0\n", + "3 0\n", + "4 1\n", + "Name: item_name, dtype: int32" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# convert a boolean Series to an integer (False = 0, True = 1)\n", + "orders.item_name.str.contains('Chicken').astype(int).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 14. When should I use a \"groupby\" in pandas? ([video](https://www.youtube.com/watch?v=qy0fDqoMJx8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=14))" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa " + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of alcohol consumption into a DataFrame\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry')\n", + "drinks.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "106.16062176165804" + ] + }, + "execution_count": 84, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# calculate the mean beer servings across the entire dataset\n", + "drinks.beer_servings.mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "61.471698113207545" + ] + }, + "execution_count": 85, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# calculate the mean beer servings just for countries in Africa\n", + "drinks[drinks.continent=='Africa'].beer_servings.mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "continent\n", + "Africa 61.471698\n", + "Asia 37.045455\n", + "Europe 193.777778\n", + "North America 145.434783\n", + "Oceania 89.687500\n", + "South America 175.083333\n", + "Name: beer_servings, dtype: float64" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# calculate the mean beer servings for each continent\n", + "drinks.groupby('continent').beer_servings.mean()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`groupby`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.groupby.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "continent\n", + "Africa 376\n", + "Asia 247\n", + "Europe 361\n", + "North America 285\n", + "Oceania 306\n", + "South America 333\n", + "Name: beer_servings, dtype: int64" + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# other aggregation functions (such as 'max') can also be used with groupby\n", + "drinks.groupby('continent').beer_servings.max()" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countmeanminmax
continent
Africa5361.4716980376
Asia4437.0454550247
Europe45193.7777780361
North America23145.4347831285
Oceania1689.6875000306
South America12175.08333393333
\n", + "
" + ], + "text/plain": [ + " count mean min max\n", + "continent \n", + "Africa 53 61.471698 0 376\n", + "Asia 44 37.045455 0 247\n", + "Europe 45 193.777778 0 361\n", + "North America 23 145.434783 1 285\n", + "Oceania 16 89.687500 0 306\n", + "South America 12 175.083333 93 333" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# multiple aggregation functions can be applied simultaneously\n", + "drinks.groupby('continent').beer_servings.agg(['count', 'mean', 'min', 'max'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`agg`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.core.groupby.DataFrameGroupBy.agg.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
beer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcohol
continent
Africa61.47169816.33962316.2641513.007547
Asia37.04545560.8409099.0681822.170455
Europe193.777778132.555556142.2222228.617778
North America145.434783165.73913024.5217395.995652
Oceania89.68750058.43750035.6250003.381250
South America175.083333114.75000062.4166676.308333
\n", + "
" + ], + "text/plain": [ + " beer_servings spirit_servings wine_servings \\\n", + "continent \n", + "Africa 61.471698 16.339623 16.264151 \n", + "Asia 37.045455 60.840909 9.068182 \n", + "Europe 193.777778 132.555556 142.222222 \n", + "North America 145.434783 165.739130 24.521739 \n", + "Oceania 89.687500 58.437500 35.625000 \n", + "South America 175.083333 114.750000 62.416667 \n", + "\n", + " total_litres_of_pure_alcohol \n", + "continent \n", + "Africa 3.007547 \n", + "Asia 2.170455 \n", + "Europe 8.617778 \n", + "North America 5.995652 \n", + "Oceania 3.381250 \n", + "South America 6.308333 " + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# specifying a column to which the aggregation function should be applied is not required\n", + "drinks.groupby('continent').mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# allow plots to appear in the notebook\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAFOCAYAAACWguaYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# side-by-side bar plot of the DataFrame directly above\n", + "drinks.groupby('continent').mean().plot(kind='bar')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`plot`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 15. How do I explore a pandas Series? ([video](https://www.youtube.com/watch?v=QTVTq8SPzxM&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=15))" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
09.3The Shawshank RedemptionRCrime142[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...
19.2The GodfatherRCrime175[u'Marlon Brando', u'Al Pacino', u'James Caan']
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
39.0The Dark KnightPG-13Action152[u'Christian Bale', u'Heath Ledger', u'Aaron E...
48.9Pulp FictionRCrime154[u'John Travolta', u'Uma Thurman', u'Samuel L....
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre duration \\\n", + "0 9.3 The Shawshank Redemption R Crime 142 \n", + "1 9.2 The Godfather R Crime 175 \n", + "2 9.1 The Godfather: Part II R Crime 200 \n", + "3 9.0 The Dark Knight PG-13 Action 152 \n", + "4 8.9 Pulp Fiction R Crime 154 \n", + "\n", + " actors_list \n", + "0 [u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt... \n", + "1 [u'Marlon Brando', u'Al Pacino', u'James Caan'] \n", + "2 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "3 [u'Christian Bale', u'Heath Ledger', u'Aaron E... \n", + "4 [u'John Travolta', u'Uma Thurman', u'Samuel L.... " + ] + }, + "execution_count": 92, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of top-rated IMDb movies into a DataFrame\n", + "movies = pd.read_csv('http://bit.ly/imdbratings')\n", + "movies.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "star_rating float64\n", + "title object\n", + "content_rating object\n", + "genre object\n", + "duration int64\n", + "actors_list object\n", + "dtype: object" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the data type of each Series\n", + "movies.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Exploring a non-numeric Series:**" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "count 979\n", + "unique 16\n", + "top Drama\n", + "freq 278\n", + "Name: genre, dtype: object" + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# count the non-null values, unique values, and frequency of the most common value\n", + "movies.genre.describe()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`describe`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.describe.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Drama 278\n", + "Comedy 156\n", + "Action 136\n", + "Crime 124\n", + "Biography 77\n", + "Adventure 75\n", + "Animation 62\n", + "Horror 29\n", + "Mystery 16\n", + "Western 9\n", + "Thriller 5\n", + "Sci-Fi 5\n", + "Film-Noir 3\n", + "Family 2\n", + "Fantasy 1\n", + "History 1\n", + "Name: genre, dtype: int64" + ] + }, + "execution_count": 95, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# count how many times each value in the Series occurs\n", + "movies.genre.value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`value_counts`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.value_counts.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Drama 0.283963\n", + "Comedy 0.159346\n", + "Action 0.138917\n", + "Crime 0.126660\n", + "Biography 0.078652\n", + "Adventure 0.076609\n", + "Animation 0.063330\n", + "Horror 0.029622\n", + "Mystery 0.016343\n", + "Western 0.009193\n", + "Thriller 0.005107\n", + "Sci-Fi 0.005107\n", + "Film-Noir 0.003064\n", + "Family 0.002043\n", + "Fantasy 0.001021\n", + "History 0.001021\n", + "Name: genre, dtype: float64" + ] + }, + "execution_count": 96, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# display percentages instead of raw counts\n", + "movies.genre.value_counts(normalize=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "pandas.core.series.Series" + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'value_counts' (like many pandas methods) outputs a Series\n", + "type(movies.genre.value_counts())" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Drama 278\n", + "Comedy 156\n", + "Action 136\n", + "Crime 124\n", + "Biography 77\n", + "Name: genre, dtype: int64" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# thus, you can add another Series method on the end\n", + "movies.genre.value_counts().head()" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Crime', 'Action', 'Drama', 'Western', 'Adventure', 'Biography',\n", + " 'Comedy', 'Animation', 'Mystery', 'Horror', 'Film-Noir', 'Sci-Fi',\n", + " 'History', 'Thriller', 'Family', 'Fantasy'], dtype=object)" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# display the unique values in the Series\n", + "movies.genre.unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "16" + ] + }, + "execution_count": 100, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# count the number of unique values in the Series\n", + "movies.genre.nunique()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`unique`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.unique.html) and [**`nunique`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.nunique.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
content_ratingAPPROVEDGGPNC-17NOT RATEDPASSEDPGPG-13RTV-MAUNRATEDX
genre
Action311041114467030
Adventure320051212317020
Animation32000302555010
Biography12101062936000
Comedy9211163232373041
Crime60017164870111
Drama123042412555143191
Family010000100000
Fantasy000000001000
Film-Noir100010000010
History000000000010
Horror2001101216051
Mystery410010126010
Sci-Fi100000013000
Thriller100000103000
Western100020213000
\n", + "
" + ], + "text/plain": [ + "content_rating APPROVED G GP NC-17 NOT RATED PASSED PG PG-13 R \\\n", + "genre \n", + "Action 3 1 1 0 4 1 11 44 67 \n", + "Adventure 3 2 0 0 5 1 21 23 17 \n", + "Animation 3 20 0 0 3 0 25 5 5 \n", + "Biography 1 2 1 0 1 0 6 29 36 \n", + "Comedy 9 2 1 1 16 3 23 23 73 \n", + "Crime 6 0 0 1 7 1 6 4 87 \n", + "Drama 12 3 0 4 24 1 25 55 143 \n", + "Family 0 1 0 0 0 0 1 0 0 \n", + "Fantasy 0 0 0 0 0 0 0 0 1 \n", + "Film-Noir 1 0 0 0 1 0 0 0 0 \n", + "History 0 0 0 0 0 0 0 0 0 \n", + "Horror 2 0 0 1 1 0 1 2 16 \n", + "Mystery 4 1 0 0 1 0 1 2 6 \n", + "Sci-Fi 1 0 0 0 0 0 0 1 3 \n", + "Thriller 1 0 0 0 0 0 1 0 3 \n", + "Western 1 0 0 0 2 0 2 1 3 \n", + "\n", + "content_rating TV-MA UNRATED X \n", + "genre \n", + "Action 0 3 0 \n", + "Adventure 0 2 0 \n", + "Animation 0 1 0 \n", + "Biography 0 0 0 \n", + "Comedy 0 4 1 \n", + "Crime 0 11 1 \n", + "Drama 1 9 1 \n", + "Family 0 0 0 \n", + "Fantasy 0 0 0 \n", + "Film-Noir 0 1 0 \n", + "History 0 1 0 \n", + "Horror 0 5 1 \n", + "Mystery 0 1 0 \n", + "Sci-Fi 0 0 0 \n", + "Thriller 0 0 0 \n", + "Western 0 0 0 " + ] + }, + "execution_count": 101, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# compute a cross-tabulation of two Series\n", + "pd.crosstab(movies.genre, movies.content_rating)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`crosstab`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.crosstab.html)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Exploring a numeric Series:**" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "count 979.000000\n", + "mean 120.979571\n", + "std 26.218010\n", + "min 64.000000\n", + "25% 102.000000\n", + "50% 117.000000\n", + "75% 134.000000\n", + "max 242.000000\n", + "Name: duration, dtype: float64" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# calculate various summary statistics\n", + "movies.duration.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "120.97957099080695" + ] + }, + "execution_count": 103, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# many statistics are implemented as Series methods\n", + "movies.duration.mean()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`mean`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.mean.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "112 23\n", + "113 22\n", + "102 20\n", + "101 20\n", + "129 19\n", + "Name: duration, dtype: int64" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'value_counts' is primarily useful for categorical data, not numerical data\n", + "movies.duration.value_counts().head()" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# allow plots to appear in the notebook\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYwAAAEACAYAAACgS0HpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# histogram of the 'duration' Series (shows the distribution of a numerical variable)\n", + "movies.duration.plot(kind='hist')" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 107, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEqCAYAAAAF56vUAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nU9TMrCGc0M3MGsIJ3cysIZzQzcwa4v8DeCLSWObwHAgAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# bar plot of the 'value_counts' for the 'genre' Series\n", + "movies.genre.value_counts().plot(kind='bar')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`plot`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.plot.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 16. How do I handle missing values in pandas? ([video](https://www.youtube.com/watch?v=fCMrO_VzeL8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=16))" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
18236Grant ParkNaNTRIANGLEIL12/31/2000 23:00
18237Spirit LakeNaNDISKIA12/31/2000 23:00
18238Eagle RiverNaNNaNWI12/31/2000 23:45
18239Eagle RiverREDLIGHTWI12/31/2000 23:45
18240YborNaNOVALFL12/31/2000 23:59
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "18236 Grant Park NaN TRIANGLE IL 12/31/2000 23:00\n", + "18237 Spirit Lake NaN DISK IA 12/31/2000 23:00\n", + "18238 Eagle River NaN NaN WI 12/31/2000 23:45\n", + "18239 Eagle River RED LIGHT WI 12/31/2000 23:45\n", + "18240 Ybor NaN OVAL FL 12/31/2000 23:59" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of UFO reports into a DataFrame\n", + "ufo = pd.read_csv('http://bit.ly/uforeports')\n", + "ufo.tail()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**What does \"NaN\" mean?**\n", + "\n", + "- \"NaN\" is not a string, rather it's a special value: **`numpy.nan`**.\n", + "- It stands for \"Not a Number\" and indicates a **missing value**.\n", + "- **`read_csv`** detects missing values (by default) when reading the file, and replaces them with this special value.\n", + "\n", + "Documentation for [**`read_csv`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
18236FalseTrueFalseFalseFalse
18237FalseTrueFalseFalseFalse
18238FalseTrueTrueFalseFalse
18239FalseFalseFalseFalseFalse
18240FalseTrueFalseFalseFalse
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "18236 False True False False False\n", + "18237 False True False False False\n", + "18238 False True True False False\n", + "18239 False False False False False\n", + "18240 False True False False False" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'isnull' returns a DataFrame of booleans (True if missing, False if not missing)\n", + "ufo.isnull().tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
18236TrueFalseTrueTrueTrue
18237TrueFalseTrueTrueTrue
18238TrueFalseFalseTrueTrue
18239TrueTrueTrueTrueTrue
18240TrueFalseTrueTrueTrue
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "18236 True False True True True\n", + "18237 True False True True True\n", + "18238 True False False True True\n", + "18239 True True True True True\n", + "18240 True False True True True" + ] + }, + "execution_count": 110, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'nonnull' returns the opposite of 'isnull' (True if not missing, False if missing)\n", + "ufo.notnull().tail()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`isnull`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.isnull.html) and [**`notnull`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.notnull.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "City 25\n", + "Colors Reported 15359\n", + "Shape Reported 2644\n", + "State 0\n", + "Time 0\n", + "dtype: int64" + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# count the number of missing values in each Series\n", + "ufo.isnull().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This calculation works because:\n", + "\n", + "1. The **`sum`** method for a DataFrame operates on **`axis=0`** by default (and thus produces column sums).\n", + "2. In order to add boolean values, pandas converts **`True`** to **1** and **`False`** to **0**." + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
21NaNNaNNaNLA8/15/1943 0:00
22NaNNaNLIGHTLA8/15/1943 0:00
204NaNNaNDISKCA7/15/1952 12:30
241NaNBLUEDISKMT7/4/1953 14:00
613NaNNaNDISKNV7/1/1960 12:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "21 NaN NaN NaN LA 8/15/1943 0:00\n", + "22 NaN NaN LIGHT LA 8/15/1943 0:00\n", + "204 NaN NaN DISK CA 7/15/1952 12:30\n", + "241 NaN BLUE DISK MT 7/4/1953 14:00\n", + "613 NaN NaN DISK NV 7/1/1960 12:00" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use the 'isnull' Series method to filter the DataFrame rows\n", + "ufo[ufo.City.isnull()].head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**How to handle missing values** depends on the dataset as well as the nature of your analysis. Here are some options:" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(18241, 5)" + ] + }, + "execution_count": 113, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the number of rows and columns\n", + "ufo.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(2486, 5)" + ] + }, + "execution_count": 114, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# if 'any' values are missing in a row, then drop that row\n", + "ufo.dropna(how='any').shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`dropna`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.dropna.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(18241, 5)" + ] + }, + "execution_count": 115, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'inplace' parameter for 'dropna' is False by default, thus rows were only dropped temporarily\n", + "ufo.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(18241, 5)" + ] + }, + "execution_count": 116, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# if 'all' values are missing in a row, then drop that row (none are dropped in this case)\n", + "ufo.dropna(how='all').shape" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(15576, 5)" + ] + }, + "execution_count": 117, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# if 'any' values are missing in a row (considering only 'City' and 'Shape Reported'), then drop that row\n", + "ufo.dropna(subset=['City', 'Shape Reported'], how='any').shape" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(18237, 5)" + ] + }, + "execution_count": 118, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# if 'all' values are missing in a row (considering only 'City' and 'Shape Reported'), then drop that row\n", + "ufo.dropna(subset=['City', 'Shape Reported'], how='all').shape" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "LIGHT 2803\n", + "DISK 2122\n", + "TRIANGLE 1889\n", + "OTHER 1402\n", + "CIRCLE 1365\n", + "Name: Shape Reported, dtype: int64" + ] + }, + "execution_count": 119, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'value_counts' does not include missing values by default\n", + "ufo['Shape Reported'].value_counts().head()" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "LIGHT 2803\n", + "NaN 2644\n", + "DISK 2122\n", + "TRIANGLE 1889\n", + "OTHER 1402\n", + "Name: Shape Reported, dtype: int64" + ] + }, + "execution_count": 120, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# explicitly include missing values\n", + "ufo['Shape Reported'].value_counts(dropna=False).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`value_counts`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.value_counts.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# fill in missing values with a specified value\n", + "ufo['Shape Reported'].fillna(value='VARIOUS', inplace=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`fillna`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.fillna.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "VARIOUS 2977\n", + "LIGHT 2803\n", + "DISK 2122\n", + "TRIANGLE 1889\n", + "OTHER 1402\n", + "Name: Shape Reported, dtype: int64" + ] + }, + "execution_count": 122, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# confirm that the missing values were filled in\n", + "ufo['Shape Reported'].value_counts().head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Working with missing data in pandas](http://pandas.pydata.org/pandas-docs/stable/missing_data.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 17. What do I need to know about the pandas index? (Part 1) ([video](https://www.youtube.com/watch?v=OYZNk7Z9s6I&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=17))" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa " + ] + }, + "execution_count": 123, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of alcohol consumption into a DataFrame\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry')\n", + "drinks.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "RangeIndex(start=0, stop=193, step=1)" + ] + }, + "execution_count": 124, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# every DataFrame has an index (sometimes called the \"row labels\")\n", + "drinks.index" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index([u'country', u'beer_servings', u'spirit_servings', u'wine_servings',\n", + " u'total_litres_of_pure_alcohol', u'continent'],\n", + " dtype='object')" + ] + }, + "execution_count": 125, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# column names are also stored in a special \"index\" object\n", + "drinks.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(193, 6)" + ] + }, + "execution_count": 126, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# neither the index nor the columns are included in the shape\n", + "drinks.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
01234
0124Mtechnician85711
1253Fother94043
2323Mwriter32067
3424Mtechnician43537
4533Fother15213
\n", + "
" + ], + "text/plain": [ + " 0 1 2 3 4\n", + "0 1 24 M technician 85711\n", + "1 2 53 F other 94043\n", + "2 3 23 M writer 32067\n", + "3 4 24 M technician 43537\n", + "4 5 33 F other 15213" + ] + }, + "execution_count": 127, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# index and columns both default to integers if you don't define them\n", + "pd.read_table('http://bit.ly/movieusers', header=None, sep='|').head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**What is the index used for?**\n", + "\n", + "1. identification\n", + "2. selection\n", + "3. alignment (covered in the next video)" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
6Argentina193252218.3South America
20Bolivia1674183.8South America
23Brazil245145167.2South America
35Chile1301241727.6South America
37Colombia1597634.2South America
52Ecuador1627434.2South America
72Guyana9330217.1South America
132Paraguay213117747.3South America
133Peru163160216.1South America
163Suriname12817875.6South America
185Uruguay115352206.6South America
188Venezuela33310037.7South America
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "6 Argentina 193 25 221 \n", + "20 Bolivia 167 41 8 \n", + "23 Brazil 245 145 16 \n", + "35 Chile 130 124 172 \n", + "37 Colombia 159 76 3 \n", + "52 Ecuador 162 74 3 \n", + "72 Guyana 93 302 1 \n", + "132 Paraguay 213 117 74 \n", + "133 Peru 163 160 21 \n", + "163 Suriname 128 178 7 \n", + "185 Uruguay 115 35 220 \n", + "188 Venezuela 333 100 3 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "6 8.3 South America \n", + "20 3.8 South America \n", + "23 7.2 South America \n", + "35 7.6 South America \n", + "37 4.2 South America \n", + "52 4.2 South America \n", + "72 7.1 South America \n", + "132 7.3 South America \n", + "133 6.1 South America \n", + "163 5.6 South America \n", + "185 6.6 South America \n", + "188 7.7 South America " + ] + }, + "execution_count": 128, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# identification: index remains with each row when filtering the DataFrame\n", + "drinks[drinks.continent=='South America']" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "245" + ] + }, + "execution_count": 129, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# selection: select a portion of the DataFrame using the index\n", + "drinks.loc[23, 'beer_servings']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`loc`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.loc.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
beer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
country
Afghanistan0000.0Asia
Albania89132544.9Europe
Algeria250140.7Africa
Andorra24513831212.4Europe
Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " beer_servings spirit_servings wine_servings \\\n", + "country \n", + "Afghanistan 0 0 0 \n", + "Albania 89 132 54 \n", + "Algeria 25 0 14 \n", + "Andorra 245 138 312 \n", + "Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "country \n", + "Afghanistan 0.0 Asia \n", + "Albania 4.9 Europe \n", + "Algeria 0.7 Africa \n", + "Andorra 12.4 Europe \n", + "Angola 5.9 Africa " + ] + }, + "execution_count": 130, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# set an existing column as the index\n", + "drinks.set_index('country', inplace=True)\n", + "drinks.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`set_index`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.set_index.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index([u'Afghanistan', u'Albania', u'Algeria', u'Andorra', u'Angola',\n", + " u'Antigua & Barbuda', u'Argentina', u'Armenia', u'Australia',\n", + " u'Austria',\n", + " ...\n", + " u'Tanzania', u'USA', u'Uruguay', u'Uzbekistan', u'Vanuatu',\n", + " u'Venezuela', u'Vietnam', u'Yemen', u'Zambia', u'Zimbabwe'],\n", + " dtype='object', name=u'country', length=193)" + ] + }, + "execution_count": 131, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'country' is now the index\n", + "drinks.index" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index([u'beer_servings', u'spirit_servings', u'wine_servings',\n", + " u'total_litres_of_pure_alcohol', u'continent'],\n", + " dtype='object')" + ] + }, + "execution_count": 132, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'country' is no longer a column\n", + "drinks.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(193, 5)" + ] + }, + "execution_count": 133, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'country' data is no longer part of the DataFrame contents\n", + "drinks.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "245" + ] + }, + "execution_count": 134, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# country name can now be used for selection\n", + "drinks.loc['Brazil', 'beer_servings']" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
beer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
Afghanistan0000.0Asia
Albania89132544.9Europe
Algeria250140.7Africa
Andorra24513831212.4Europe
Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " beer_servings spirit_servings wine_servings \\\n", + "Afghanistan 0 0 0 \n", + "Albania 89 132 54 \n", + "Algeria 25 0 14 \n", + "Andorra 245 138 312 \n", + "Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "Afghanistan 0.0 Asia \n", + "Albania 4.9 Europe \n", + "Algeria 0.7 Africa \n", + "Andorra 12.4 Europe \n", + "Angola 5.9 Africa " + ] + }, + "execution_count": 135, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# index name is optional\n", + "drinks.index.name = None\n", + "drinks.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa " + ] + }, + "execution_count": 136, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# restore the index name, and move the index back to a column\n", + "drinks.index.name = 'country'\n", + "drinks.reset_index(inplace=True)\n", + "drinks.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`reset_index`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.reset_index.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
beer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcohol
count193.000000193.000000193.000000193.000000
mean106.16062280.99481949.4507774.717098
std101.14310388.28431279.6975983.773298
min0.0000000.0000000.0000000.000000
25%20.0000004.0000001.0000001.300000
50%76.00000056.0000008.0000004.200000
75%188.000000128.00000059.0000007.200000
max376.000000438.000000370.00000014.400000
\n", + "
" + ], + "text/plain": [ + " beer_servings spirit_servings wine_servings \\\n", + "count 193.000000 193.000000 193.000000 \n", + "mean 106.160622 80.994819 49.450777 \n", + "std 101.143103 88.284312 79.697598 \n", + "min 0.000000 0.000000 0.000000 \n", + "25% 20.000000 4.000000 1.000000 \n", + "50% 76.000000 56.000000 8.000000 \n", + "75% 188.000000 128.000000 59.000000 \n", + "max 376.000000 438.000000 370.000000 \n", + "\n", + " total_litres_of_pure_alcohol \n", + "count 193.000000 \n", + "mean 4.717098 \n", + "std 3.773298 \n", + "min 0.000000 \n", + "25% 1.300000 \n", + "50% 4.200000 \n", + "75% 7.200000 \n", + "max 14.400000 " + ] + }, + "execution_count": 137, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# many DataFrame methods output a DataFrame\n", + "drinks.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 138, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "20.0" + ] + }, + "execution_count": 138, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# you can interact with any DataFrame using its index and columns\n", + "drinks.describe().loc['25%', 'beer_servings']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Indexing and selecting data](http://pandas.pydata.org/pandas-docs/stable/indexing.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 18. What do I need to know about the pandas index? (Part 2) ([video](https://www.youtube.com/watch?v=15q-is8P_H4&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=18))" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa " + ] + }, + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of alcohol consumption into a DataFrame\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry')\n", + "drinks.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "RangeIndex(start=0, stop=193, step=1)" + ] + }, + "execution_count": 140, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# every DataFrame has an index\n", + "drinks.index" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 Asia\n", + "1 Europe\n", + "2 Africa\n", + "3 Europe\n", + "4 Africa\n", + "Name: continent, dtype: object" + ] + }, + "execution_count": 141, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# every Series also has an index (which carries over from the DataFrame)\n", + "drinks.continent.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# set 'country' as the index\n", + "drinks.set_index('country', inplace=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`set_index`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.set_index.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "country\n", + "Afghanistan Asia\n", + "Albania Europe\n", + "Algeria Africa\n", + "Andorra Europe\n", + "Angola Africa\n", + "Name: continent, dtype: object" + ] + }, + "execution_count": 143, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Series index is on the left, values are on the right\n", + "drinks.continent.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Africa 53\n", + "Europe 45\n", + "Asia 44\n", + "North America 23\n", + "Oceania 16\n", + "South America 12\n", + "Name: continent, dtype: int64" + ] + }, + "execution_count": 144, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# another example of a Series (output from the 'value_counts' method)\n", + "drinks.continent.value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`value_counts`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.value_counts.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index([u'Africa', u'Europe', u'Asia', u'North America', u'Oceania',\n", + " u'South America'],\n", + " dtype='object')" + ] + }, + "execution_count": 145, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# access the Series index\n", + "drinks.continent.value_counts().index" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([53, 45, 44, 23, 16, 12], dtype=int64)" + ] + }, + "execution_count": 146, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# access the Series values\n", + "drinks.continent.value_counts().values" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "53" + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# elements in a Series can be selected by index (using bracket notation)\n", + "drinks.continent.value_counts()['Africa']" + ] + }, + { + "cell_type": "code", + "execution_count": 148, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "South America 12\n", + "Oceania 16\n", + "North America 23\n", + "Asia 44\n", + "Europe 45\n", + "Africa 53\n", + "Name: continent, dtype: int64" + ] + }, + "execution_count": 148, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# any Series can be sorted by its values\n", + "drinks.continent.value_counts().sort_values()" + ] + }, + { + "cell_type": "code", + "execution_count": 149, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Africa 53\n", + "Asia 44\n", + "Europe 45\n", + "North America 23\n", + "Oceania 16\n", + "South America 12\n", + "Name: continent, dtype: int64" + ] + }, + "execution_count": 149, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# any Series can also be sorted by its index\n", + "drinks.continent.value_counts().sort_index()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`sort_values`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.sort_values.html) and [**`sort_index`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.sort_index.html)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**What is the index used for?**\n", + "\n", + "1. identification (covered in the previous video)\n", + "2. selection (covered in the previous video)\n", + "3. alignment" + ] + }, + { + "cell_type": "code", + "execution_count": 150, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "country\n", + "Afghanistan 0\n", + "Albania 89\n", + "Algeria 25\n", + "Andorra 245\n", + "Angola 217\n", + "Name: beer_servings, dtype: int64" + ] + }, + "execution_count": 150, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'beer_servings' Series contains the average annual beer servings per person\n", + "drinks.beer_servings.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 151, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Albania 3000000\n", + "Andorra 85000\n", + "Name: population, dtype: int64" + ] + }, + "execution_count": 151, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a Series containing the population of two countries\n", + "people = pd.Series([3000000, 85000], index=['Albania', 'Andorra'], name='population')\n", + "people" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`Series`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Afghanistan NaN\n", + "Albania 267000000.0\n", + "Algeria NaN\n", + "Andorra 20825000.0\n", + "Angola NaN\n", + "dtype: float64" + ] + }, + "execution_count": 152, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# calculate the total annual beer servings for each country\n", + "(drinks.beer_servings * people).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- The two Series were **aligned** by their indexes.\n", + "- If a value is missing in either Series, the result is marked as **NaN**.\n", + "- Alignment enables us to easily work with **incomplete data**." + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
beer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinentpopulation
Afghanistan0000.0AsiaNaN
Albania89132544.9Europe3000000.0
Algeria250140.7AfricaNaN
Andorra24513831212.4Europe85000.0
Angola21757455.9AfricaNaN
\n", + "
" + ], + "text/plain": [ + " beer_servings spirit_servings wine_servings \\\n", + "Afghanistan 0 0 0 \n", + "Albania 89 132 54 \n", + "Algeria 25 0 14 \n", + "Andorra 245 138 312 \n", + "Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent population \n", + "Afghanistan 0.0 Asia NaN \n", + "Albania 4.9 Europe 3000000.0 \n", + "Algeria 0.7 Africa NaN \n", + "Andorra 12.4 Europe 85000.0 \n", + "Angola 5.9 Africa NaN " + ] + }, + "execution_count": 153, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# concatenate the 'drinks' DataFrame with the 'population' Series (aligns by the index)\n", + "pd.concat([drinks, people], axis=1).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`concat`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.concat.html)\n", + "\n", + "[Indexing and selecting data](http://pandas.pydata.org/pandas-docs/stable/indexing.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 19. How do I select multiple rows and columns from a pandas DataFrame? ([video](https://www.youtube.com/watch?v=xvpNA7bC8cs&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=19))" + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of UFO reports into a DataFrame\n", + "ufo = pd.read_csv('http://bit.ly/uforeports')\n", + "ufo.head(3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The [**`loc`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.loc.html) method is used to select rows and columns by **label**. You can pass it:\n", + "\n", + "- A single label\n", + "- A list of labels\n", + "- A slice of labels\n", + "- A boolean Series\n", + "- A colon (which indicates \"all labels\")" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "City Ithaca\n", + "Colors Reported NaN\n", + "Shape Reported TRIANGLE\n", + "State NY\n", + "Time 6/1/1930 22:00\n", + "Name: 0, dtype: object" + ] + }, + "execution_count": 155, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# row 0, all columns\n", + "ufo.loc[0, :]" + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00" + ] + }, + "execution_count": 156, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# rows 0 and 1 and 2, all columns\n", + "ufo.loc[[0, 1, 2], :]" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00" + ] + }, + "execution_count": 157, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# rows 0 through 2 (inclusive), all columns\n", + "ufo.loc[0:2, :]" + ] + }, + { + "cell_type": "code", + "execution_count": 158, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00" + ] + }, + "execution_count": 158, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# this implies \"all columns\", but explicitly stating \"all columns\" is better\n", + "ufo.loc[0:2]" + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 Ithaca\n", + "1 Willingboro\n", + "2 Holyoke\n", + "Name: City, dtype: object" + ] + }, + "execution_count": 159, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# rows 0 through 2 (inclusive), column 'City'\n", + "ufo.loc[0:2, 'City']" + ] + }, + { + "cell_type": "code", + "execution_count": 160, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityState
0IthacaNY
1WillingboroNJ
2HolyokeCO
\n", + "
" + ], + "text/plain": [ + " City State\n", + "0 Ithaca NY\n", + "1 Willingboro NJ\n", + "2 Holyoke CO" + ] + }, + "execution_count": 160, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# rows 0 through 2 (inclusive), columns 'City' and 'State'\n", + "ufo.loc[0:2, ['City', 'State']]" + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityState
0IthacaNY
1WillingboroNJ
2HolyokeCO
\n", + "
" + ], + "text/plain": [ + " City State\n", + "0 Ithaca NY\n", + "1 Willingboro NJ\n", + "2 Holyoke CO" + ] + }, + "execution_count": 161, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# accomplish the same thing using double brackets - but using 'loc' is preferred since it's more explicit\n", + "ufo[['City', 'State']].head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 162, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedState
0IthacaNaNTRIANGLENY
1WillingboroNaNOTHERNJ
2HolyokeNaNOVALCO
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State\n", + "0 Ithaca NaN TRIANGLE NY\n", + "1 Willingboro NaN OTHER NJ\n", + "2 Holyoke NaN OVAL CO" + ] + }, + "execution_count": 162, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# rows 0 through 2 (inclusive), columns 'City' through 'State' (inclusive)\n", + "ufo.loc[0:2, 'City':'State']" + ] + }, + { + "cell_type": "code", + "execution_count": 163, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedState
0IthacaNaNTRIANGLENY
1WillingboroNaNOTHERNJ
2HolyokeNaNOVALCO
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State\n", + "0 Ithaca NaN TRIANGLE NY\n", + "1 Willingboro NaN OTHER NJ\n", + "2 Holyoke NaN OVAL CO" + ] + }, + "execution_count": 163, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# accomplish the same thing using 'head' and 'drop'\n", + "ufo.head(3).drop('Time', axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 164, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1694 CA\n", + "2144 CA\n", + "4686 MD\n", + "7293 CA\n", + "8488 CA\n", + "8768 CA\n", + "10816 OR\n", + "10948 CA\n", + "11045 CA\n", + "12322 CA\n", + "12941 CA\n", + "16803 MD\n", + "17322 CA\n", + "Name: State, dtype: object" + ] + }, + "execution_count": 164, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# rows in which the 'City' is 'Oakland', column 'State'\n", + "ufo.loc[ufo.City=='Oakland', 'State']" + ] + }, + { + "cell_type": "code", + "execution_count": 165, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1694 CA\n", + "2144 CA\n", + "4686 MD\n", + "7293 CA\n", + "8488 CA\n", + "8768 CA\n", + "10816 OR\n", + "10948 CA\n", + "11045 CA\n", + "12322 CA\n", + "12941 CA\n", + "16803 MD\n", + "17322 CA\n", + "Name: State, dtype: object" + ] + }, + "execution_count": 165, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# accomplish the same thing using \"chained indexing\" - but using 'loc' is preferred since chained indexing can cause problems\n", + "ufo[ufo.City=='Oakland'].State" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The [**`iloc`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.iloc.html) method is used to select rows and columns by **integer position**. You can pass it:\n", + "\n", + "- A single integer position\n", + "- A list of integer positions\n", + "- A slice of integer positions\n", + "- A colon (which indicates \"all integer positions\")" + ] + }, + { + "cell_type": "code", + "execution_count": 166, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityState
0IthacaNY
1WillingboroNJ
\n", + "
" + ], + "text/plain": [ + " City State\n", + "0 Ithaca NY\n", + "1 Willingboro NJ" + ] + }, + "execution_count": 166, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# rows in positions 0 and 1, columns in positions 0 and 3\n", + "ufo.iloc[[0, 1], [0, 3]]" + ] + }, + { + "cell_type": "code", + "execution_count": 167, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedState
0IthacaNaNTRIANGLENY
1WillingboroNaNOTHERNJ
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State\n", + "0 Ithaca NaN TRIANGLE NY\n", + "1 Willingboro NaN OTHER NJ" + ] + }, + "execution_count": 167, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# rows in positions 0 through 2 (exclusive), columns in positions 0 through 4 (exclusive)\n", + "ufo.iloc[0:2, 0:4]" + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00" + ] + }, + "execution_count": 168, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# rows in positions 0 through 2 (exclusive), all columns\n", + "ufo.iloc[0:2, :]" + ] + }, + { + "cell_type": "code", + "execution_count": 169, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00" + ] + }, + "execution_count": 169, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# accomplish the same thing - but using 'iloc' is preferred since it's more explicit\n", + "ufo[0:2]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The [**`ix`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.ix.html) method is used to select rows and columns by **label or integer position**, and should only be used when you need to mix label-based and integer-based selection in the same call." + ] + }, + { + "cell_type": "code", + "execution_count": 170, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
beer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
country
Afghanistan0000.0Asia
Albania89132544.9Europe
Algeria250140.7Africa
Andorra24513831212.4Europe
Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " beer_servings spirit_servings wine_servings \\\n", + "country \n", + "Afghanistan 0 0 0 \n", + "Albania 89 132 54 \n", + "Algeria 25 0 14 \n", + "Andorra 245 138 312 \n", + "Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "country \n", + "Afghanistan 0.0 Asia \n", + "Albania 4.9 Europe \n", + "Algeria 0.7 Africa \n", + "Andorra 12.4 Europe \n", + "Angola 5.9 Africa " + ] + }, + "execution_count": 170, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of alcohol consumption into a DataFrame and set 'country' as the index\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry', index_col='country')\n", + "drinks.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 171, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "89" + ] + }, + "execution_count": 171, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# row with label 'Albania', column in position 0\n", + "drinks.ix['Albania', 0]" + ] + }, + { + "cell_type": "code", + "execution_count": 172, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "89" + ] + }, + "execution_count": 172, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# row in position 1, column with label 'beer_servings'\n", + "drinks.ix[1, 'beer_servings']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Rules for using numbers with `ix`:**\n", + "\n", + "- If the index is **strings**, numbers are treated as **integer positions**, and thus slices are **exclusive** on the right.\n", + "- If the index is **integers**, numbers are treated as **labels**, and thus slices are **inclusive**." + ] + }, + { + "cell_type": "code", + "execution_count": 173, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
beer_servingsspirit_servings
country
Albania89132
Algeria250
Andorra245138
\n", + "
" + ], + "text/plain": [ + " beer_servings spirit_servings\n", + "country \n", + "Albania 89 132\n", + "Algeria 25 0\n", + "Andorra 245 138" + ] + }, + "execution_count": 173, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# rows 'Albania' through 'Andorra' (inclusive), columns in positions 0 through 2 (exclusive)\n", + "drinks.ix['Albania':'Andorra', 0:2]" + ] + }, + { + "cell_type": "code", + "execution_count": 174, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors Reported
0IthacaNaN
1WillingboroNaN
2HolyokeNaN
\n", + "
" + ], + "text/plain": [ + " City Colors Reported\n", + "0 Ithaca NaN\n", + "1 Willingboro NaN\n", + "2 Holyoke NaN" + ] + }, + "execution_count": 174, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# rows 0 through 2 (inclusive), columns in positions 0 through 2 (exclusive)\n", + "ufo.ix[0:2, 0:2]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Summary of the pandas API for selection](https://github.com/pydata/pandas/issues/9595)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 20. When should I use the \"inplace\" parameter in pandas? ([video](https://www.youtube.com/watch?v=XaCSdr7pPmY&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=20))" + ] + }, + { + "cell_type": "code", + "execution_count": 175, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 175, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of UFO reports into a DataFrame\n", + "ufo = pd.read_csv('http://bit.ly/uforeports')\n", + "ufo.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 176, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(18241, 5)" + ] + }, + "execution_count": 176, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Colors ReportedShape ReportedStateTime
0NaNTRIANGLENY6/1/1930 22:00
1NaNOTHERNJ6/30/1930 20:00
2NaNOVALCO2/15/1931 14:00
3NaNDISKKS6/1/1931 13:00
4NaNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " Colors Reported Shape Reported State Time\n", + "0 NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 NaN OTHER NJ 6/30/1930 20:00\n", + "2 NaN OVAL CO 2/15/1931 14:00\n", + "3 NaN DISK KS 6/1/1931 13:00\n", + "4 NaN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 177, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# remove the 'City' column (doesn't affect the DataFrame since inplace=False)\n", + "ufo.drop('City', axis=1).head()" + ] + }, + { + "cell_type": "code", + "execution_count": 178, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 178, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# confirm that the 'City' column was not actually removed\n", + "ufo.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 179, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# remove the 'City' column (does affect the DataFrame since inplace=True)\n", + "ufo.drop('City', axis=1, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 180, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Colors ReportedShape ReportedStateTime
0NaNTRIANGLENY6/1/1930 22:00
1NaNOTHERNJ6/30/1930 20:00
2NaNOVALCO2/15/1931 14:00
3NaNDISKKS6/1/1931 13:00
4NaNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " Colors Reported Shape Reported State Time\n", + "0 NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 NaN OTHER NJ 6/30/1930 20:00\n", + "2 NaN OVAL CO 2/15/1931 14:00\n", + "3 NaN DISK KS 6/1/1931 13:00\n", + "4 NaN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 180, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# confirm that the 'City' column was actually removed\n", + "ufo.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 181, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(2490, 4)" + ] + }, + "execution_count": 181, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# drop a row if any value is missing from that row (doesn't affect the DataFrame since inplace=False)\n", + "ufo.dropna(how='any').shape" + ] + }, + { + "cell_type": "code", + "execution_count": 182, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(18241, 4)" + ] + }, + "execution_count": 182, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# confirm that no rows were actually removed\n", + "ufo.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 183, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Colors ReportedShape ReportedState
Time
12/31/2000 23:00NaNTRIANGLEIL
12/31/2000 23:00NaNDISKIA
12/31/2000 23:45NaNNaNWI
12/31/2000 23:45REDLIGHTWI
12/31/2000 23:59NaNOVALFL
\n", + "
" + ], + "text/plain": [ + " Colors Reported Shape Reported State\n", + "Time \n", + "12/31/2000 23:00 NaN TRIANGLE IL\n", + "12/31/2000 23:00 NaN DISK IA\n", + "12/31/2000 23:45 NaN NaN WI\n", + "12/31/2000 23:45 RED LIGHT WI\n", + "12/31/2000 23:59 NaN OVAL FL" + ] + }, + "execution_count": 183, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use an assignment statement instead of the 'inplace' parameter\n", + "ufo = ufo.set_index('Time')\n", + "ufo.tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 184, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Colors ReportedShape ReportedState
Time
12/31/2000 23:00REDTRIANGLEIL
12/31/2000 23:00REDDISKIA
12/31/2000 23:45REDLIGHTWI
12/31/2000 23:45REDLIGHTWI
12/31/2000 23:59NaNOVALFL
\n", + "
" + ], + "text/plain": [ + " Colors Reported Shape Reported State\n", + "Time \n", + "12/31/2000 23:00 RED TRIANGLE IL\n", + "12/31/2000 23:00 RED DISK IA\n", + "12/31/2000 23:45 RED LIGHT WI\n", + "12/31/2000 23:45 RED LIGHT WI\n", + "12/31/2000 23:59 NaN OVAL FL" + ] + }, + "execution_count": 184, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# fill missing values using \"backward fill\" strategy (doesn't affect the DataFrame since inplace=False)\n", + "ufo.fillna(method='bfill').tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Colors ReportedShape ReportedState
Time
12/31/2000 23:00REDTRIANGLEIL
12/31/2000 23:00REDDISKIA
12/31/2000 23:45REDDISKWI
12/31/2000 23:45REDLIGHTWI
12/31/2000 23:59REDOVALFL
\n", + "
" + ], + "text/plain": [ + " Colors Reported Shape Reported State\n", + "Time \n", + "12/31/2000 23:00 RED TRIANGLE IL\n", + "12/31/2000 23:00 RED DISK IA\n", + "12/31/2000 23:45 RED DISK WI\n", + "12/31/2000 23:45 RED LIGHT WI\n", + "12/31/2000 23:59 RED OVAL FL" + ] + }, + "execution_count": 185, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# compare with \"forward fill\" strategy (doesn't affect the DataFrame since inplace=False)\n", + "ufo.fillna(method='ffill').tail()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 21. How do I make my pandas DataFrame smaller and faster? ([video](https://www.youtube.com/watch?v=wDYDYGyN_cw&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=21))" + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa " + ] + }, + "execution_count": 186, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of alcohol consumption into a DataFrame\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry')\n", + "drinks.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 187, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 193 entries, 0 to 192\n", + "Data columns (total 6 columns):\n", + "country 193 non-null object\n", + "beer_servings 193 non-null int64\n", + "spirit_servings 193 non-null int64\n", + "wine_servings 193 non-null int64\n", + "total_litres_of_pure_alcohol 193 non-null float64\n", + "continent 193 non-null object\n", + "dtypes: float64(1), int64(3), object(2)\n", + "memory usage: 9.1+ KB\n" + ] + } + ], + "source": [ + "# exact memory usage is unknown because object columns are references elsewhere\n", + "drinks.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 188, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 193 entries, 0 to 192\n", + "Data columns (total 6 columns):\n", + "country 193 non-null object\n", + "beer_servings 193 non-null int64\n", + "spirit_servings 193 non-null int64\n", + "wine_servings 193 non-null int64\n", + "total_litres_of_pure_alcohol 193 non-null float64\n", + "continent 193 non-null object\n", + "dtypes: float64(1), int64(3), object(2)\n", + "memory usage: 24.4 KB\n" + ] + } + ], + "source": [ + "# force pandas to calculate the true memory usage\n", + "drinks.info(memory_usage='deep')" + ] + }, + { + "cell_type": "code", + "execution_count": 189, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index 72\n", + "country 9500\n", + "beer_servings 1544\n", + "spirit_servings 1544\n", + "wine_servings 1544\n", + "total_litres_of_pure_alcohol 1544\n", + "continent 9244\n", + "dtype: int64" + ] + }, + "execution_count": 189, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# calculate the memory usage for each Series (in bytes)\n", + "drinks.memory_usage(deep=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`info`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.info.html) and [**`memory_usage`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.memory_usage.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 190, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "country object\n", + "beer_servings int64\n", + "spirit_servings int64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "continent category\n", + "dtype: object" + ] + }, + "execution_count": 190, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use the 'category' data type (new in pandas 0.15) to store the 'continent' strings as integers\n", + "drinks['continent'] = drinks.continent.astype('category')\n", + "drinks.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 191, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 Asia\n", + "1 Europe\n", + "2 Africa\n", + "3 Europe\n", + "4 Africa\n", + "Name: continent, dtype: category\n", + "Categories (6, object): [Africa, Asia, Europe, North America, Oceania, South America]" + ] + }, + "execution_count": 191, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'continent' Series appears to be unchanged\n", + "drinks.continent.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 192, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 1\n", + "1 2\n", + "2 0\n", + "3 2\n", + "4 0\n", + "dtype: int8" + ] + }, + "execution_count": 192, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# strings are now encoded (0 means 'Africa', 1 means 'Asia', 2 means 'Europe', etc.)\n", + "drinks.continent.cat.codes.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 193, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index 72\n", + "country 9500\n", + "beer_servings 1544\n", + "spirit_servings 1544\n", + "wine_servings 1544\n", + "total_litres_of_pure_alcohol 1544\n", + "continent 488\n", + "dtype: int64" + ] + }, + "execution_count": 193, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# memory usage has been drastically reduced\n", + "drinks.memory_usage(deep=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 194, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index 72\n", + "country 9886\n", + "beer_servings 1544\n", + "spirit_servings 1544\n", + "wine_servings 1544\n", + "total_litres_of_pure_alcohol 1544\n", + "continent 488\n", + "dtype: int64" + ] + }, + "execution_count": 194, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# repeat this process for the 'country' Series\n", + "drinks['country'] = drinks.country.astype('category')\n", + "drinks.memory_usage(deep=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 195, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index([u'Afghanistan', u'Albania', u'Algeria', u'Andorra', u'Angola',\n", + " u'Antigua & Barbuda', u'Argentina', u'Armenia', u'Australia',\n", + " u'Austria',\n", + " ...\n", + " u'United Arab Emirates', u'United Kingdom', u'Uruguay', u'Uzbekistan',\n", + " u'Vanuatu', u'Venezuela', u'Vietnam', u'Yemen', u'Zambia', u'Zimbabwe'],\n", + " dtype='object', length=193)" + ] + }, + "execution_count": 195, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# memory usage increased because we created 193 categories\n", + "drinks.country.cat.categories" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The **category** data type should only be used with a string Series that has a **small number of possible values**." + ] + }, + { + "cell_type": "code", + "execution_count": 196, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
IDquality
0100good
1101very good
2102good
3103excellent
\n", + "
" + ], + "text/plain": [ + " ID quality\n", + "0 100 good\n", + "1 101 very good\n", + "2 102 good\n", + "3 103 excellent" + ] + }, + "execution_count": 196, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a small DataFrame from a dictionary\n", + "df = pd.DataFrame({'ID':[100, 101, 102, 103], 'quality':['good', 'very good', 'good', 'excellent']})\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 197, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
IDquality
3103excellent
0100good
2102good
1101very good
\n", + "
" + ], + "text/plain": [ + " ID quality\n", + "3 103 excellent\n", + "0 100 good\n", + "2 102 good\n", + "1 101 very good" + ] + }, + "execution_count": 197, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# sort the DataFrame by the 'quality' Series (alphabetical order)\n", + "df.sort_values('quality')" + ] + }, + { + "cell_type": "code", + "execution_count": 198, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 good\n", + "1 very good\n", + "2 good\n", + "3 excellent\n", + "Name: quality, dtype: category\n", + "Categories (3, object): [good < very good < excellent]" + ] + }, + "execution_count": 198, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# define a logical ordering for the categories\n", + "df['quality'] = df.quality.astype('category', categories=['good', 'very good', 'excellent'], ordered=True)\n", + "df.quality" + ] + }, + { + "cell_type": "code", + "execution_count": 199, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
IDquality
0100good
2102good
1101very good
3103excellent
\n", + "
" + ], + "text/plain": [ + " ID quality\n", + "0 100 good\n", + "2 102 good\n", + "1 101 very good\n", + "3 103 excellent" + ] + }, + "execution_count": 199, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# sort the DataFrame by the 'quality' Series (logical order)\n", + "df.sort_values('quality')" + ] + }, + { + "cell_type": "code", + "execution_count": 200, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
IDquality
1101very good
3103excellent
\n", + "
" + ], + "text/plain": [ + " ID quality\n", + "1 101 very good\n", + "3 103 excellent" + ] + }, + "execution_count": 200, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# comparison operators work with ordered categories\n", + "df.loc[df.quality > 'good', :]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Overview of categorical data in pandas](http://pandas.pydata.org/pandas-docs/stable/categorical.html)\n", + "\n", + "[API reference for categorical methods](http://pandas.pydata.org/pandas-docs/stable/api.html#categorical)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 22. How do I use pandas with scikit-learn to create Kaggle submissions? ([video](https://www.youtube.com/watch?v=ylRlGCtAtiE&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=22))" + ] + }, + { + "cell_type": "code", + "execution_count": 201, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S " + ] + }, + "execution_count": 201, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read the training dataset from Kaggle's Titanic competition into a DataFrame\n", + "train = pd.read_csv('http://bit.ly/kaggletrain')\n", + "train.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Goal:** Predict passenger survival aboard the Titanic based on [passenger attributes](https://www.kaggle.com/c/titanic/data)\n", + "\n", + "**Video:** [What is machine learning, and how does it work?](https://www.youtube.com/watch?v=elojMnjn4kk&list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A&index=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 202, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(891, 2)" + ] + }, + "execution_count": 202, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a feature matrix 'X' by selecting two DataFrame columns\n", + "feature_cols = ['Pclass', 'Parch']\n", + "X = train.loc[:, feature_cols]\n", + "X.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 203, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(891L,)" + ] + }, + "execution_count": 203, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a response vector 'y' by selecting a Series\n", + "y = train.Survived\n", + "y.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Note:** There is no need to convert these pandas objects to NumPy arrays. scikit-learn will understand these objects as long as they are entirely numeric and the proper shapes." + ] + }, + { + "cell_type": "code", + "execution_count": 204, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n", + " intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1,\n", + " penalty='l2', random_state=None, solver='liblinear', tol=0.0001,\n", + " verbose=0, warm_start=False)" + ] + }, + "execution_count": 204, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# fit a classification model to the training data\n", + "from sklearn.linear_model import LogisticRegression\n", + "logreg = LogisticRegression()\n", + "logreg.fit(X, y)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Video series:** [Introduction to machine learning with scikit-learn](https://www.youtube.com/playlist?list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A)" + ] + }, + { + "cell_type": "code", + "execution_count": 205, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
08923Kelly, Mr. Jamesmale34.5003309117.8292NaNQ
18933Wilkes, Mrs. James (Ellen Needs)female47.0103632727.0000NaNS
28942Myles, Mr. Thomas Francismale62.0002402769.6875NaNQ
38953Wirz, Mr. Albertmale27.0003151548.6625NaNS
48963Hirvonen, Mrs. Alexander (Helga E Lindqvist)female22.011310129812.2875NaNS
\n", + "
" + ], + "text/plain": [ + " PassengerId Pclass Name Sex \\\n", + "0 892 3 Kelly, Mr. James male \n", + "1 893 3 Wilkes, Mrs. James (Ellen Needs) female \n", + "2 894 2 Myles, Mr. Thomas Francis male \n", + "3 895 3 Wirz, Mr. Albert male \n", + "4 896 3 Hirvonen, Mrs. Alexander (Helga E Lindqvist) female \n", + "\n", + " Age SibSp Parch Ticket Fare Cabin Embarked \n", + "0 34.5 0 0 330911 7.8292 NaN Q \n", + "1 47.0 1 0 363272 7.0000 NaN S \n", + "2 62.0 0 0 240276 9.6875 NaN Q \n", + "3 27.0 0 0 315154 8.6625 NaN S \n", + "4 22.0 1 1 3101298 12.2875 NaN S " + ] + }, + "execution_count": 205, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read the testing dataset from Kaggle's Titanic competition into a DataFrame\n", + "test = pd.read_csv('http://bit.ly/kaggletest')\n", + "test.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 206, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(418, 2)" + ] + }, + "execution_count": 206, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a feature matrix from the testing data that matches the training data\n", + "X_new = test.loc[:, feature_cols]\n", + "X_new.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 207, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# use the fitted model to make predictions for the testing set observations\n", + "new_pred_class = logreg.predict(X_new)" + ] + }, + { + "cell_type": "code", + "execution_count": 208, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvived
08920
18930
28940
38950
48960
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived\n", + "0 892 0\n", + "1 893 0\n", + "2 894 0\n", + "3 895 0\n", + "4 896 0" + ] + }, + "execution_count": 208, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a DataFrame of passenger IDs and testing set predictions\n", + "pd.DataFrame({'PassengerId':test.PassengerId, 'Survived':new_pred_class}).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for the [**`DataFrame`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html) constructor" + ] + }, + { + "cell_type": "code", + "execution_count": 209, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Survived
PassengerId
8920
8930
8940
8950
8960
\n", + "
" + ], + "text/plain": [ + " Survived\n", + "PassengerId \n", + "892 0\n", + "893 0\n", + "894 0\n", + "895 0\n", + "896 0" + ] + }, + "execution_count": 209, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ensure that PassengerID is the first column by setting it as the index\n", + "pd.DataFrame({'PassengerId':test.PassengerId, 'Survived':new_pred_class}).set_index('PassengerId').head()" + ] + }, + { + "cell_type": "code", + "execution_count": 210, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# write the DataFrame to a CSV file that can be submitted to Kaggle\n", + "pd.DataFrame({'PassengerId':test.PassengerId, 'Survived':new_pred_class}).set_index('PassengerId').to_csv('sub.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`to_csv`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_csv.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 211, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# save a DataFrame to disk (\"pickle it\")\n", + "train.to_pickle('train.pkl')" + ] + }, + { + "cell_type": "code", + "execution_count": 212, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S " + ] + }, + "execution_count": 212, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a pickled object from disk (\"unpickle it\")\n", + "pd.read_pickle('train.pkl').head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`to_pickle`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_pickle.html) and [**`read_pickle`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_pickle.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 23. More of your pandas questions answered! ([video](https://www.youtube.com/watch?v=oH3wYKvwpJ8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=23))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Question:** Could you explain how to read the pandas documentation?\n", + "\n", + "[pandas API reference](http://pandas.pydata.org/pandas-docs/stable/api.html)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Question:** What is the difference between **`ufo.isnull()`** and **`pd.isnull(ufo)`**?" + ] + }, + { + "cell_type": "code", + "execution_count": 213, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 213, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of UFO reports into a DataFrame\n", + "ufo = pd.read_csv('http://bit.ly/uforeports')\n", + "ufo.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 214, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0FalseTrueFalseFalseFalse
1FalseTrueFalseFalseFalse
2FalseTrueFalseFalseFalse
3FalseTrueFalseFalseFalse
4FalseTrueFalseFalseFalse
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 False True False False False\n", + "1 False True False False False\n", + "2 False True False False False\n", + "3 False True False False False\n", + "4 False True False False False" + ] + }, + "execution_count": 214, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use 'isnull' as a top-level function\n", + "pd.isnull(ufo).head()" + ] + }, + { + "cell_type": "code", + "execution_count": 215, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0FalseTrueFalseFalseFalse
1FalseTrueFalseFalseFalse
2FalseTrueFalseFalseFalse
3FalseTrueFalseFalseFalse
4FalseTrueFalseFalseFalse
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 False True False False False\n", + "1 False True False False False\n", + "2 False True False False False\n", + "3 False True False False False\n", + "4 False True False False False" + ] + }, + "execution_count": 215, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# equivalent: use 'isnull' as a DataFrame method\n", + "ufo.isnull().head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`isnull`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.isnull.html)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Question:** Why are DataFrame slices inclusive when using **`.loc`**, but exclusive when using **`.iloc`**?" + ] + }, + { + "cell_type": "code", + "execution_count": 216, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 216, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# label-based slicing is inclusive of the start and stop\n", + "ufo.loc[0:4, :]" + ] + }, + { + "cell_type": "code", + "execution_count": 217, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00" + ] + }, + "execution_count": 217, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# position-based slicing is inclusive of the start and exclusive of the stop\n", + "ufo.iloc[0:4, :]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`loc`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.loc.html) and [**`iloc`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.iloc.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 218, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([['Ithaca', nan, 'TRIANGLE', 'NY', '6/1/1930 22:00'],\n", + " ['Willingboro', nan, 'OTHER', 'NJ', '6/30/1930 20:00'],\n", + " ['Holyoke', nan, 'OVAL', 'CO', '2/15/1931 14:00'],\n", + " ['Abilene', nan, 'DISK', 'KS', '6/1/1931 13:00']], dtype=object)" + ] + }, + "execution_count": 218, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'iloc' is simply following NumPy's slicing convention...\n", + "ufo.values[0:4, :]" + ] + }, + { + "cell_type": "code", + "execution_count": 219, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'pyth'" + ] + }, + "execution_count": 219, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ...and NumPy is simply following Python's slicing convention\n", + "'python'[0:4]" + ] + }, + { + "cell_type": "code", + "execution_count": 220, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedState
0IthacaNaNTRIANGLENY
1WillingboroNaNOTHERNJ
2HolyokeNaNOVALCO
3AbileneNaNDISKKS
4New York Worlds FairNaNLIGHTNY
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State\n", + "0 Ithaca NaN TRIANGLE NY\n", + "1 Willingboro NaN OTHER NJ\n", + "2 Holyoke NaN OVAL CO\n", + "3 Abilene NaN DISK KS\n", + "4 New York Worlds Fair NaN LIGHT NY" + ] + }, + "execution_count": 220, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'loc' is inclusive of the stopping label because you don't necessarily know what label will come after it\n", + "ufo.loc[0:4, 'City':'State']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Question:** How do I randomly sample rows from a DataFrame?" + ] + }, + { + "cell_type": "code", + "execution_count": 221, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
12192WinstonGREENLIGHTOR9/23/1998 21:00
1775Lake WalesNaNDISKFL1/20/1969 19:00
3141Cannon AFBNaNDISKNM1/6/1976 1:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "12192 Winston GREEN LIGHT OR 9/23/1998 21:00\n", + "1775 Lake Wales NaN DISK FL 1/20/1969 19:00\n", + "3141 Cannon AFB NaN DISK NM 1/6/1976 1:00" + ] + }, + "execution_count": 221, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# sample 3 rows from the DataFrame without replacement (new in pandas 0.16.1)\n", + "ufo.sample(n=3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`sample`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.sample.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 222, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
217NorridgewockNaNDISKME9/15/1952 14:00
12282IpavaNaNTRIANGLEIL10/1/1998 21:15
17933EllinwoodNaNFIREBALLKS11/13/2000 22:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "217 Norridgewock NaN DISK ME 9/15/1952 14:00\n", + "12282 Ipava NaN TRIANGLE IL 10/1/1998 21:15\n", + "17933 Ellinwood NaN FIREBALL KS 11/13/2000 22:00" + ] + }, + "execution_count": 222, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use the 'random_state' parameter for reproducibility\n", + "ufo.sample(n=3, random_state=42)" + ] + }, + { + "cell_type": "code", + "execution_count": 223, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# sample 75% of the DataFrame's rows without replacement\n", + "train = ufo.sample(frac=0.75, random_state=99)" + ] + }, + { + "cell_type": "code", + "execution_count": 224, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# store the remaining 25% of the rows in another DataFrame\n", + "test = ufo.loc[~ufo.index.isin(train.index), :]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`isin`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Index.isin.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 24. How do I create dummy variables in pandas? ([video](https://www.youtube.com/watch?v=0s_1IsROgDc&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=24))" + ] + }, + { + "cell_type": "code", + "execution_count": 225, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S " + ] + }, + "execution_count": 225, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read the training dataset from Kaggle's Titanic competition\n", + "train = pd.read_csv('http://bit.ly/kaggletrain')\n", + "train.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 226, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedSex_male
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS1
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C0
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS0
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S0
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS1
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked Sex_male \n", + "0 0 A/5 21171 7.2500 NaN S 1 \n", + "1 0 PC 17599 71.2833 C85 C 0 \n", + "2 0 STON/O2. 3101282 7.9250 NaN S 0 \n", + "3 0 113803 53.1000 C123 S 0 \n", + "4 0 373450 8.0500 NaN S 1 " + ] + }, + "execution_count": 226, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create the 'Sex_male' dummy variable using the 'map' method\n", + "train['Sex_male'] = train.Sex.map({'female':0, 'male':1})\n", + "train.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`map`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.map.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 227, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
femalemale
00.01.0
11.00.0
21.00.0
31.00.0
40.01.0
\n", + "
" + ], + "text/plain": [ + " female male\n", + "0 0.0 1.0\n", + "1 1.0 0.0\n", + "2 1.0 0.0\n", + "3 1.0 0.0\n", + "4 0.0 1.0" + ] + }, + "execution_count": 227, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# alternative: use 'get_dummies' to create one column for every possible value\n", + "pd.get_dummies(train.Sex).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Generally speaking:\n", + "\n", + "- If you have **\"K\" possible values** for a categorical feature, you only need **\"K-1\" dummy variables** to capture all of the information about that feature.\n", + "- One convention is to **drop the first dummy variable**, which defines that level as the \"baseline\"." + ] + }, + { + "cell_type": "code", + "execution_count": 228, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
male
01.0
10.0
20.0
30.0
41.0
\n", + "
" + ], + "text/plain": [ + " male\n", + "0 1.0\n", + "1 0.0\n", + "2 0.0\n", + "3 0.0\n", + "4 1.0" + ] + }, + "execution_count": 228, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# drop the first dummy variable ('female') using the 'iloc' method\n", + "pd.get_dummies(train.Sex).iloc[:, 1:].head()" + ] + }, + { + "cell_type": "code", + "execution_count": 229, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Sex_male
01.0
10.0
20.0
30.0
41.0
\n", + "
" + ], + "text/plain": [ + " Sex_male\n", + "0 1.0\n", + "1 0.0\n", + "2 0.0\n", + "3 0.0\n", + "4 1.0" + ] + }, + "execution_count": 229, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# add a prefix to identify the source of the dummy variables\n", + "pd.get_dummies(train.Sex, prefix='Sex').iloc[:, 1:].head()" + ] + }, + { + "cell_type": "code", + "execution_count": 230, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Embarked_CEmbarked_QEmbarked_S
00.00.01.0
11.00.00.0
20.00.01.0
30.00.01.0
40.00.01.0
50.01.00.0
60.00.01.0
70.00.01.0
80.00.01.0
91.00.00.0
\n", + "
" + ], + "text/plain": [ + " Embarked_C Embarked_Q Embarked_S\n", + "0 0.0 0.0 1.0\n", + "1 1.0 0.0 0.0\n", + "2 0.0 0.0 1.0\n", + "3 0.0 0.0 1.0\n", + "4 0.0 0.0 1.0\n", + "5 0.0 1.0 0.0\n", + "6 0.0 0.0 1.0\n", + "7 0.0 0.0 1.0\n", + "8 0.0 0.0 1.0\n", + "9 1.0 0.0 0.0" + ] + }, + "execution_count": 230, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use 'get_dummies' with a feature that has 3 possible values\n", + "pd.get_dummies(train.Embarked, prefix='Embarked').head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 231, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Embarked_QEmbarked_S
00.01.0
10.00.0
20.01.0
30.01.0
40.01.0
51.00.0
60.01.0
70.01.0
80.01.0
90.00.0
\n", + "
" + ], + "text/plain": [ + " Embarked_Q Embarked_S\n", + "0 0.0 1.0\n", + "1 0.0 0.0\n", + "2 0.0 1.0\n", + "3 0.0 1.0\n", + "4 0.0 1.0\n", + "5 1.0 0.0\n", + "6 0.0 1.0\n", + "7 0.0 1.0\n", + "8 0.0 1.0\n", + "9 0.0 0.0" + ] + }, + "execution_count": 231, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# drop the first dummy variable ('C')\n", + "pd.get_dummies(train.Embarked, prefix='Embarked').iloc[:, 1:].head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "How to translate these values back to the original 'Embarked' value:\n", + "\n", + "- **0, 0** means **C**\n", + "- **1, 0** means **Q**\n", + "- **0, 1** means **S**" + ] + }, + { + "cell_type": "code", + "execution_count": 232, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedSex_maleEmbarked_QEmbarked_S
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS10.01.0
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C00.00.0
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS00.01.0
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S00.01.0
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS10.01.0
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked Sex_male Embarked_Q \\\n", + "0 0 A/5 21171 7.2500 NaN S 1 0.0 \n", + "1 0 PC 17599 71.2833 C85 C 0 0.0 \n", + "2 0 STON/O2. 3101282 7.9250 NaN S 0 0.0 \n", + "3 0 113803 53.1000 C123 S 0 0.0 \n", + "4 0 373450 8.0500 NaN S 1 0.0 \n", + "\n", + " Embarked_S \n", + "0 1.0 \n", + "1 0.0 \n", + "2 1.0 \n", + "3 1.0 \n", + "4 1.0 " + ] + }, + "execution_count": 232, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# save the DataFrame of dummy variables and concatenate them to the original DataFrame\n", + "embarked_dummies = pd.get_dummies(train.Embarked, prefix='Embarked').iloc[:, 1:]\n", + "train = pd.concat([train, embarked_dummies], axis=1)\n", + "train.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`concat`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.concat.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 233, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S " + ] + }, + "execution_count": 233, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# reset the DataFrame\n", + "train = pd.read_csv('http://bit.ly/kaggletrain')\n", + "train.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 234, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameAgeSibSpParchTicketFareCabinSex_femaleSex_maleEmbarked_CEmbarked_QEmbarked_S
0103Braund, Mr. Owen Harris22.010A/5 211717.2500NaN0.01.00.00.01.0
1211Cumings, Mrs. John Bradley (Florence Briggs Th...38.010PC 1759971.2833C851.00.01.00.00.0
2313Heikkinen, Miss. Laina26.000STON/O2. 31012827.9250NaN1.00.00.00.01.0
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)35.01011380353.1000C1231.00.00.00.01.0
4503Allen, Mr. William Henry35.0003734508.0500NaN0.01.00.00.01.0
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Age SibSp Parch \\\n", + "0 Braund, Mr. Owen Harris 22.0 1 0 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... 38.0 1 0 \n", + "2 Heikkinen, Miss. Laina 26.0 0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) 35.0 1 0 \n", + "4 Allen, Mr. William Henry 35.0 0 0 \n", + "\n", + " Ticket Fare Cabin Sex_female Sex_male Embarked_C \\\n", + "0 A/5 21171 7.2500 NaN 0.0 1.0 0.0 \n", + "1 PC 17599 71.2833 C85 1.0 0.0 1.0 \n", + "2 STON/O2. 3101282 7.9250 NaN 1.0 0.0 0.0 \n", + "3 113803 53.1000 C123 1.0 0.0 0.0 \n", + "4 373450 8.0500 NaN 0.0 1.0 0.0 \n", + "\n", + " Embarked_Q Embarked_S \n", + "0 0.0 1.0 \n", + "1 0.0 0.0 \n", + "2 0.0 1.0 \n", + "3 0.0 1.0 \n", + "4 0.0 1.0 " + ] + }, + "execution_count": 234, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# pass the DataFrame to 'get_dummies' and specify which columns to dummy (it drops the original columns)\n", + "pd.get_dummies(train, columns=['Sex', 'Embarked']).head()" + ] + }, + { + "cell_type": "code", + "execution_count": 235, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameAgeSibSpParchTicketFareCabinSex_maleEmbarked_QEmbarked_S
0103Braund, Mr. Owen Harris22.010A/5 211717.2500NaN1.00.01.0
1211Cumings, Mrs. John Bradley (Florence Briggs Th...38.010PC 1759971.2833C850.00.00.0
2313Heikkinen, Miss. Laina26.000STON/O2. 31012827.9250NaN0.00.01.0
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)35.01011380353.1000C1230.00.01.0
4503Allen, Mr. William Henry35.0003734508.0500NaN1.00.01.0
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Age SibSp Parch \\\n", + "0 Braund, Mr. Owen Harris 22.0 1 0 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... 38.0 1 0 \n", + "2 Heikkinen, Miss. Laina 26.0 0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) 35.0 1 0 \n", + "4 Allen, Mr. William Henry 35.0 0 0 \n", + "\n", + " Ticket Fare Cabin Sex_male Embarked_Q Embarked_S \n", + "0 A/5 21171 7.2500 NaN 1.0 0.0 1.0 \n", + "1 PC 17599 71.2833 C85 0.0 0.0 0.0 \n", + "2 STON/O2. 3101282 7.9250 NaN 0.0 0.0 1.0 \n", + "3 113803 53.1000 C123 0.0 0.0 1.0 \n", + "4 373450 8.0500 NaN 1.0 0.0 1.0 " + ] + }, + "execution_count": 235, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use the 'drop_first' parameter (new in pandas 0.18) to drop the first dummy variable for each feature\n", + "pd.get_dummies(train, columns=['Sex', 'Embarked'], drop_first=True).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`get_dummies`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 25. How do I work with dates and times in pandas? ([video](https://www.youtube.com/watch?v=yCgJGsg0Xa4&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=25))" + ] + }, + { + "cell_type": "code", + "execution_count": 236, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 236, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of UFO reports into a DataFrame\n", + "ufo = pd.read_csv('http://bit.ly/uforeports')\n", + "ufo.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 237, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "City object\n", + "Colors Reported object\n", + "Shape Reported object\n", + "State object\n", + "Time object\n", + "dtype: object" + ] + }, + "execution_count": 237, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'Time' is currently stored as a string\n", + "ufo.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 238, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 22\n", + "1 20\n", + "2 14\n", + "3 13\n", + "4 19\n", + "Name: Time, dtype: int32" + ] + }, + "execution_count": 238, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# hour could be accessed using string slicing, but this approach breaks too easily\n", + "ufo.Time.str.slice(-5, -3).astype(int).head()" + ] + }, + { + "cell_type": "code", + "execution_count": 239, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY1930-06-01 22:00:00
1WillingboroNaNOTHERNJ1930-06-30 20:00:00
2HolyokeNaNOVALCO1931-02-15 14:00:00
3AbileneNaNDISKKS1931-06-01 13:00:00
4New York Worlds FairNaNLIGHTNY1933-04-18 19:00:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State \\\n", + "0 Ithaca NaN TRIANGLE NY \n", + "1 Willingboro NaN OTHER NJ \n", + "2 Holyoke NaN OVAL CO \n", + "3 Abilene NaN DISK KS \n", + "4 New York Worlds Fair NaN LIGHT NY \n", + "\n", + " Time \n", + "0 1930-06-01 22:00:00 \n", + "1 1930-06-30 20:00:00 \n", + "2 1931-02-15 14:00:00 \n", + "3 1931-06-01 13:00:00 \n", + "4 1933-04-18 19:00:00 " + ] + }, + "execution_count": 239, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# convert 'Time' to datetime format\n", + "ufo['Time'] = pd.to_datetime(ufo.Time)\n", + "ufo.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 240, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "City object\n", + "Colors Reported object\n", + "Shape Reported object\n", + "State object\n", + "Time datetime64[ns]\n", + "dtype: object" + ] + }, + "execution_count": 240, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`to_datetime`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.to_datetime.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 241, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 22\n", + "1 20\n", + "2 14\n", + "3 13\n", + "4 19\n", + "Name: Time, dtype: int64" + ] + }, + "execution_count": 241, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# convenient Series attributes are now available\n", + "ufo.Time.dt.hour.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 242, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 Sunday\n", + "1 Monday\n", + "2 Sunday\n", + "3 Monday\n", + "4 Tuesday\n", + "Name: Time, dtype: object" + ] + }, + "execution_count": 242, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo.Time.dt.weekday_name.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 243, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 152\n", + "1 181\n", + "2 46\n", + "3 152\n", + "4 108\n", + "Name: Time, dtype: int64" + ] + }, + "execution_count": 243, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo.Time.dt.dayofyear.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "API reference for [datetime properties and methods](http://pandas.pydata.org/pandas-docs/stable/api.html#datetimelike-properties)" + ] + }, + { + "cell_type": "code", + "execution_count": 244, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Timestamp('1999-01-01 00:00:00')" + ] + }, + "execution_count": 244, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# convert a single string to datetime format (outputs a timestamp object)\n", + "ts = pd.to_datetime('1/1/1999')\n", + "ts" + ] + }, + { + "cell_type": "code", + "execution_count": 245, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
12832Loma RicaNaNLIGHTCA1999-01-01 02:30:00
12833BauxiteNaNNaNAR1999-01-01 03:00:00
12834FlorenceNaNCYLINDERSC1999-01-01 14:00:00
12835Lake HenshawNaNCIGARCA1999-01-01 15:00:00
12836Wilmington IslandNaNLIGHTGA1999-01-01 17:15:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State \\\n", + "12832 Loma Rica NaN LIGHT CA \n", + "12833 Bauxite NaN NaN AR \n", + "12834 Florence NaN CYLINDER SC \n", + "12835 Lake Henshaw NaN CIGAR CA \n", + "12836 Wilmington Island NaN LIGHT GA \n", + "\n", + " Time \n", + "12832 1999-01-01 02:30:00 \n", + "12833 1999-01-01 03:00:00 \n", + "12834 1999-01-01 14:00:00 \n", + "12835 1999-01-01 15:00:00 \n", + "12836 1999-01-01 17:15:00 " + ] + }, + "execution_count": 245, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# compare a datetime Series with a timestamp\n", + "ufo.loc[ufo.Time >= ts, :].head()" + ] + }, + { + "cell_type": "code", + "execution_count": 246, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Timedelta('25781 days 01:59:00')" + ] + }, + "execution_count": 246, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# perform mathematical operations with timestamps (outputs a timedelta object)\n", + "ufo.Time.max() - ufo.Time.min()" + ] + }, + { + "cell_type": "code", + "execution_count": 247, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "25781L" + ] + }, + "execution_count": 247, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# timedelta objects also have attributes you can access\n", + "(ufo.Time.max() - ufo.Time.min()).days" + ] + }, + { + "cell_type": "code", + "execution_count": 248, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# allow plots to appear in the notebook\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 249, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1930 2\n", + "1931 2\n", + "1933 1\n", + "1934 1\n", + "1935 1\n", + "Name: Year, dtype: int64" + ] + }, + "execution_count": 249, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# count the number of UFO reports per year\n", + "ufo['Year'] = ufo.Time.dt.year\n", + "ufo.Year.value_counts().sort_index().head()" + ] + }, + { + "cell_type": "code", + "execution_count": 250, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 250, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAEACAYAAABYq7oeAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot the number of UFO reports per year (line plot is the default)\n", + "ufo.Year.value_counts().sort_index().plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 26. How do I find and remove duplicate rows in pandas? ([video](https://www.youtube.com/watch?v=ht5buXUMqkQ&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=26))" + ] + }, + { + "cell_type": "code", + "execution_count": 251, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
agegenderoccupationzip_code
user_id
124Mtechnician85711
253Fother94043
323Mwriter32067
424Mtechnician43537
533Fother15213
\n", + "
" + ], + "text/plain": [ + " age gender occupation zip_code\n", + "user_id \n", + "1 24 M technician 85711\n", + "2 53 F other 94043\n", + "3 23 M writer 32067\n", + "4 24 M technician 43537\n", + "5 33 F other 15213" + ] + }, + "execution_count": 251, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of movie reviewers into a DataFrame\n", + "user_cols = ['user_id', 'age', 'gender', 'occupation', 'zip_code']\n", + "users = pd.read_table('http://bit.ly/movieusers', sep='|', header=None, names=user_cols, index_col='user_id')\n", + "users.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 252, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(943, 4)" + ] + }, + "execution_count": 252, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "users.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 253, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "user_id\n", + "939 False\n", + "940 True\n", + "941 False\n", + "942 False\n", + "943 False\n", + "Name: zip_code, dtype: bool" + ] + }, + "execution_count": 253, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# detect duplicate zip codes: True if an item is identical to a previous item\n", + "users.zip_code.duplicated().tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 254, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "148" + ] + }, + "execution_count": 254, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# count the duplicate items (True becomes 1, False becomes 0)\n", + "users.zip_code.duplicated().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 255, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "user_id\n", + "939 False\n", + "940 False\n", + "941 False\n", + "942 False\n", + "943 False\n", + "dtype: bool" + ] + }, + "execution_count": 255, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# detect duplicate DataFrame rows: True if an entire row is identical to a previous row\n", + "users.duplicated().tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 256, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "7" + ] + }, + "execution_count": 256, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# count the duplicate rows\n", + "users.duplicated().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Logic for [**`duplicated`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.duplicated.html):\n", + "\n", + "- **`keep='first'`** (default): Mark duplicates as True except for the first occurrence.\n", + "- **`keep='last'`**: Mark duplicates as True except for the last occurrence.\n", + "- **`keep=False`**: Mark all duplicates as True." + ] + }, + { + "cell_type": "code", + "execution_count": 257, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
agegenderoccupationzip_code
user_id
49621Fstudent55414
57251Meducator20003
62117Mstudent60402
68428Mstudent55414
73344Fother60630
80527Fother20009
89032Mstudent97301
\n", + "
" + ], + "text/plain": [ + " age gender occupation zip_code\n", + "user_id \n", + "496 21 F student 55414\n", + "572 51 M educator 20003\n", + "621 17 M student 60402\n", + "684 28 M student 55414\n", + "733 44 F other 60630\n", + "805 27 F other 20009\n", + "890 32 M student 97301" + ] + }, + "execution_count": 257, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the duplicate rows (ignoring the first occurrence)\n", + "users.loc[users.duplicated(keep='first'), :]" + ] + }, + { + "cell_type": "code", + "execution_count": 258, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
agegenderoccupationzip_code
user_id
6717Mstudent60402
8551Meducator20003
19821Fstudent55414
35032Mstudent97301
42828Mstudent55414
43727Fother20009
46044Fother60630
\n", + "
" + ], + "text/plain": [ + " age gender occupation zip_code\n", + "user_id \n", + "67 17 M student 60402\n", + "85 51 M educator 20003\n", + "198 21 F student 55414\n", + "350 32 M student 97301\n", + "428 28 M student 55414\n", + "437 27 F other 20009\n", + "460 44 F other 60630" + ] + }, + "execution_count": 258, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the duplicate rows (ignoring the last occurrence)\n", + "users.loc[users.duplicated(keep='last'), :]" + ] + }, + { + "cell_type": "code", + "execution_count": 259, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
agegenderoccupationzip_code
user_id
6717Mstudent60402
8551Meducator20003
19821Fstudent55414
35032Mstudent97301
42828Mstudent55414
43727Fother20009
46044Fother60630
49621Fstudent55414
57251Meducator20003
62117Mstudent60402
68428Mstudent55414
73344Fother60630
80527Fother20009
89032Mstudent97301
\n", + "
" + ], + "text/plain": [ + " age gender occupation zip_code\n", + "user_id \n", + "67 17 M student 60402\n", + "85 51 M educator 20003\n", + "198 21 F student 55414\n", + "350 32 M student 97301\n", + "428 28 M student 55414\n", + "437 27 F other 20009\n", + "460 44 F other 60630\n", + "496 21 F student 55414\n", + "572 51 M educator 20003\n", + "621 17 M student 60402\n", + "684 28 M student 55414\n", + "733 44 F other 60630\n", + "805 27 F other 20009\n", + "890 32 M student 97301" + ] + }, + "execution_count": 259, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the duplicate rows (including all duplicates)\n", + "users.loc[users.duplicated(keep=False), :]" + ] + }, + { + "cell_type": "code", + "execution_count": 260, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(936, 4)" + ] + }, + "execution_count": 260, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# drop the duplicate rows (inplace=False by default)\n", + "users.drop_duplicates(keep='first').shape" + ] + }, + { + "cell_type": "code", + "execution_count": 261, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(936, 4)" + ] + }, + "execution_count": 261, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "users.drop_duplicates(keep='last').shape" + ] + }, + { + "cell_type": "code", + "execution_count": 262, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(929, 4)" + ] + }, + "execution_count": 262, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "users.drop_duplicates(keep=False).shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`drop_duplicates`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.drop_duplicates.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 263, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "16" + ] + }, + "execution_count": 263, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# only consider a subset of columns when identifying duplicates\n", + "users.duplicated(subset=['age', 'zip_code']).sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 264, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(927, 4)" + ] + }, + "execution_count": 264, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "users.drop_duplicates(subset=['age', 'zip_code']).shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 27. How do I avoid a SettingWithCopyWarning in pandas? ([video](https://www.youtube.com/watch?v=4R4WsDJ-KVc&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=27))" + ] + }, + { + "cell_type": "code", + "execution_count": 265, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
09.3The Shawshank RedemptionRCrime142[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...
19.2The GodfatherRCrime175[u'Marlon Brando', u'Al Pacino', u'James Caan']
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
39.0The Dark KnightPG-13Action152[u'Christian Bale', u'Heath Ledger', u'Aaron E...
48.9Pulp FictionRCrime154[u'John Travolta', u'Uma Thurman', u'Samuel L....
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre duration \\\n", + "0 9.3 The Shawshank Redemption R Crime 142 \n", + "1 9.2 The Godfather R Crime 175 \n", + "2 9.1 The Godfather: Part II R Crime 200 \n", + "3 9.0 The Dark Knight PG-13 Action 152 \n", + "4 8.9 Pulp Fiction R Crime 154 \n", + "\n", + " actors_list \n", + "0 [u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt... \n", + "1 [u'Marlon Brando', u'Al Pacino', u'James Caan'] \n", + "2 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "3 [u'Christian Bale', u'Heath Ledger', u'Aaron E... \n", + "4 [u'John Travolta', u'Uma Thurman', u'Samuel L.... " + ] + }, + "execution_count": 265, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of top-rated IMDb movies into a DataFrame\n", + "movies = pd.read_csv('http://bit.ly/imdbratings')\n", + "movies.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 266, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 266, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# count the missing values in the 'content_rating' Series\n", + "movies.content_rating.isnull().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 267, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
1878.2Butch Cassidy and the Sundance KidNaNBiography110[u'Paul Newman', u'Robert Redford', u'Katharin...
6497.7Where Eagles DareNaNAction158[u'Richard Burton', u'Clint Eastwood', u'Mary ...
9367.4True GritNaNAdventure128[u'John Wayne', u'Kim Darby', u'Glen Campbell']
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating \\\n", + "187 8.2 Butch Cassidy and the Sundance Kid NaN \n", + "649 7.7 Where Eagles Dare NaN \n", + "936 7.4 True Grit NaN \n", + "\n", + " genre duration actors_list \n", + "187 Biography 110 [u'Paul Newman', u'Robert Redford', u'Katharin... \n", + "649 Action 158 [u'Richard Burton', u'Clint Eastwood', u'Mary ... \n", + "936 Adventure 128 [u'John Wayne', u'Kim Darby', u'Glen Campbell'] " + ] + }, + "execution_count": 267, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the DataFrame rows that contain those missing values\n", + "movies[movies.content_rating.isnull()]" + ] + }, + { + "cell_type": "code", + "execution_count": 268, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "R 460\n", + "PG-13 189\n", + "PG 123\n", + "NOT RATED 65\n", + "APPROVED 47\n", + "UNRATED 38\n", + "G 32\n", + "PASSED 7\n", + "NC-17 7\n", + "X 4\n", + "GP 3\n", + "TV-MA 1\n", + "Name: content_rating, dtype: int64" + ] + }, + "execution_count": 268, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# examine the unique values in the 'content_rating' Series\n", + "movies.content_rating.value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Goal:** Mark the 'NOT RATED' values as missing values, represented by 'NaN'." + ] + }, + { + "cell_type": "code", + "execution_count": 269, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
58.912 Angry MenNOT RATEDDrama96[u'Henry Fonda', u'Lee J. Cobb', u'Martin Bals...
68.9The Good, the Bad and the UglyNOT RATEDWestern161[u'Clint Eastwood', u'Eli Wallach', u'Lee Van ...
418.5Sunset Blvd.NOT RATEDDrama110[u'William Holden', u'Gloria Swanson', u'Erich...
638.4MNOT RATEDCrime99[u'Peter Lorre', u'Ellen Widmann', u'Inge Land...
668.4Munna Bhai M.B.B.S.NOT RATEDComedy156[u'Sunil Dutt', u'Sanjay Dutt', u'Arshad Warsi']
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre \\\n", + "5 8.9 12 Angry Men NOT RATED Drama \n", + "6 8.9 The Good, the Bad and the Ugly NOT RATED Western \n", + "41 8.5 Sunset Blvd. NOT RATED Drama \n", + "63 8.4 M NOT RATED Crime \n", + "66 8.4 Munna Bhai M.B.B.S. NOT RATED Comedy \n", + "\n", + " duration actors_list \n", + "5 96 [u'Henry Fonda', u'Lee J. Cobb', u'Martin Bals... \n", + "6 161 [u'Clint Eastwood', u'Eli Wallach', u'Lee Van ... \n", + "41 110 [u'William Holden', u'Gloria Swanson', u'Erich... \n", + "63 99 [u'Peter Lorre', u'Ellen Widmann', u'Inge Land... \n", + "66 156 [u'Sunil Dutt', u'Sanjay Dutt', u'Arshad Warsi'] " + ] + }, + "execution_count": 269, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# first, locate the relevant rows\n", + "movies[movies.content_rating=='NOT RATED'].head()" + ] + }, + { + "cell_type": "code", + "execution_count": 270, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "5 NOT RATED\n", + "6 NOT RATED\n", + "41 NOT RATED\n", + "63 NOT RATED\n", + "66 NOT RATED\n", + "Name: content_rating, dtype: object" + ] + }, + "execution_count": 270, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# then, select the 'content_rating' Series from those rows\n", + "movies[movies.content_rating=='NOT RATED'].content_rating.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 271, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\Kevin\\Anaconda\\lib\\site-packages\\pandas\\core\\generic.py:2701: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", + " self[name] = value\n" + ] + } + ], + "source": [ + "# finally, replace the 'NOT RATED' values with 'NaN' (imported from NumPy)\n", + "import numpy as np\n", + "movies[movies.content_rating=='NOT RATED'].content_rating = np.nan" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem:** That statement involves two operations, a **`__getitem__`** and a **`__setitem__`**. pandas can't guarantee whether the **`__getitem__`** operation returns a view or a copy of the data.\n", + "\n", + "- If **`__getitem__`** returns a view of the data, **`__setitem__`** will affect the 'movies' DataFrame.\n", + "- But if **`__getitem__`** returns a copy of the data, **`__setitem__`** will not affect the 'movies' DataFrame." + ] + }, + { + "cell_type": "code", + "execution_count": 272, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 272, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# the 'content_rating' Series has not changed\n", + "movies.content_rating.isnull().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Solution:** Use the **`loc`** method, which replaces the 'NOT RATED' values in a single **`__setitem__`** operation." + ] + }, + { + "cell_type": "code", + "execution_count": 273, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# replace the 'NOT RATED' values with 'NaN' (does not cause a SettingWithCopyWarning)\n", + "movies.loc[movies.content_rating=='NOT RATED', 'content_rating'] = np.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 274, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "68" + ] + }, + "execution_count": 274, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# this time, the 'content_rating' Series has changed\n", + "movies.content_rating.isnull().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Summary:** Use the **`loc`** method any time you are selecting rows and columns in the same statement.\n", + "\n", + "**More information:** [Modern Pandas (Part 1)](http://tomaugspurger.github.io/modern-1.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 275, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
09.3The Shawshank RedemptionRCrime142[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...
19.2The GodfatherRCrime175[u'Marlon Brando', u'Al Pacino', u'James Caan']
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
39.0The Dark KnightPG-13Action152[u'Christian Bale', u'Heath Ledger', u'Aaron E...
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre duration \\\n", + "0 9.3 The Shawshank Redemption R Crime 142 \n", + "1 9.2 The Godfather R Crime 175 \n", + "2 9.1 The Godfather: Part II R Crime 200 \n", + "3 9.0 The Dark Knight PG-13 Action 152 \n", + "\n", + " actors_list \n", + "0 [u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt... \n", + "1 [u'Marlon Brando', u'Al Pacino', u'James Caan'] \n", + "2 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "3 [u'Christian Bale', u'Heath Ledger', u'Aaron E... " + ] + }, + "execution_count": 275, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a DataFrame only containing movies with a high 'star_rating'\n", + "top_movies = movies.loc[movies.star_rating >= 9, :]\n", + "top_movies" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Goal:** Fix the 'duration' for 'The Shawshank Redemption'." + ] + }, + { + "cell_type": "code", + "execution_count": 276, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\Kevin\\Anaconda\\lib\\site-packages\\pandas\\core\\indexing.py:465: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", + " self.obj[item] = s\n" + ] + } + ], + "source": [ + "# overwrite the relevant cell with the correct duration\n", + "top_movies.loc[0, 'duration'] = 150" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem:** pandas isn't sure whether 'top_movies' is a view or a copy of 'movies'." + ] + }, + { + "cell_type": "code", + "execution_count": 277, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
09.3The Shawshank RedemptionRCrime150[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...
19.2The GodfatherRCrime175[u'Marlon Brando', u'Al Pacino', u'James Caan']
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
39.0The Dark KnightPG-13Action152[u'Christian Bale', u'Heath Ledger', u'Aaron E...
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre duration \\\n", + "0 9.3 The Shawshank Redemption R Crime 150 \n", + "1 9.2 The Godfather R Crime 175 \n", + "2 9.1 The Godfather: Part II R Crime 200 \n", + "3 9.0 The Dark Knight PG-13 Action 152 \n", + "\n", + " actors_list \n", + "0 [u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt... \n", + "1 [u'Marlon Brando', u'Al Pacino', u'James Caan'] \n", + "2 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "3 [u'Christian Bale', u'Heath Ledger', u'Aaron E... " + ] + }, + "execution_count": 277, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'top_movies' DataFrame has been updated\n", + "top_movies" + ] + }, + { + "cell_type": "code", + "execution_count": 278, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
09.3The Shawshank RedemptionRCrime142[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre duration \\\n", + "0 9.3 The Shawshank Redemption R Crime 142 \n", + "\n", + " actors_list \n", + "0 [u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt... " + ] + }, + "execution_count": 278, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'movies' DataFrame has not been updated\n", + "movies.head(1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Solution:** Any time you are attempting to create a DataFrame copy, use the [**`copy`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.copy.html) method." + ] + }, + { + "cell_type": "code", + "execution_count": 279, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# explicitly create a copy of 'movies'\n", + "top_movies = movies.loc[movies.star_rating >= 9, :].copy()" + ] + }, + { + "cell_type": "code", + "execution_count": 280, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# pandas now knows that you are updating a copy instead of a view (does not cause a SettingWithCopyWarning)\n", + "top_movies.loc[0, 'duration'] = 150" + ] + }, + { + "cell_type": "code", + "execution_count": 281, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
09.3The Shawshank RedemptionRCrime150[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...
19.2The GodfatherRCrime175[u'Marlon Brando', u'Al Pacino', u'James Caan']
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
39.0The Dark KnightPG-13Action152[u'Christian Bale', u'Heath Ledger', u'Aaron E...
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre duration \\\n", + "0 9.3 The Shawshank Redemption R Crime 150 \n", + "1 9.2 The Godfather R Crime 175 \n", + "2 9.1 The Godfather: Part II R Crime 200 \n", + "3 9.0 The Dark Knight PG-13 Action 152 \n", + "\n", + " actors_list \n", + "0 [u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt... \n", + "1 [u'Marlon Brando', u'Al Pacino', u'James Caan'] \n", + "2 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "3 [u'Christian Bale', u'Heath Ledger', u'Aaron E... " + ] + }, + "execution_count": 281, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'top_movies' DataFrame has been updated\n", + "top_movies" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation on indexing and selection: [Returning a view versus a copy](http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy)\n", + "\n", + "Stack Overflow: [What is the point of views in pandas if it is undefined whether an indexing operation returns a view or a copy?](http://stackoverflow.com/questions/34884536/what-is-the-point-of-views-in-pandas-if-it-is-undefined-whether-an-indexing-oper)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 28. How do I change display options in pandas? ([video](https://www.youtube.com/watch?v=yiO43TQ4xvc&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=28))" + ] + }, + { + "cell_type": "code", + "execution_count": 282, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# read a dataset of alcohol consumption into a DataFrame\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry')" + ] + }, + { + "cell_type": "code", + "execution_count": 283, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
5Antigua & Barbuda102128454.9North America
6Argentina193252218.3South America
7Armenia21179113.8Europe
8Australia2617221210.4Oceania
9Austria279751919.7Europe
10Azerbaijan214651.3Europe
11Bahamas122176516.3North America
12Bahrain426372.0Asia
13Bangladesh0000.0Asia
14Barbados143173366.3North America
15Belarus1423734214.4Europe
16Belgium2958421210.5Europe
17Belize26311486.8North America
18Benin344131.1Africa
19Bhutan23000.4Asia
20Bolivia1674183.8South America
21Bosnia-Herzegovina7617384.6Europe
22Botswana17335355.4Africa
23Brazil245145167.2South America
24Brunei31210.6Asia
25Bulgaria2312529410.3Europe
26Burkina Faso25774.3Africa
27Burundi88006.3Africa
28Cote d'Ivoire37174.0Africa
29Cabo Verde14456164.0Africa
.....................
163Suriname12817875.6South America
164Swaziland90224.7Africa
165Sweden152601867.2Europe
166Switzerland18510028010.2Europe
167Syria535161.0Asia
168Tajikistan21500.3Asia
169Thailand9925816.4Asia
170Macedonia10627863.9Europe
171Timor-Leste1140.1Asia
172Togo362191.3Africa
173Tonga362151.1Oceania
174Trinidad & Tobago19715676.4North America
175Tunisia513201.3Africa
176Turkey512271.4Asia
177Turkmenistan1971322.2Asia
178Tuvalu64191.0Oceania
179Uganda45908.3Africa
180Ukraine206237458.9Europe
181United Arab Emirates1613552.8Asia
182United Kingdom21912619510.4Europe
183Tanzania36615.7Africa
184USA249158848.7North America
185Uruguay115352206.6South America
186Uzbekistan2510182.4Asia
187Vanuatu2118110.9Oceania
188Venezuela33310037.7South America
189Vietnam111212.0Asia
190Yemen6000.1Asia
191Zambia321942.5Africa
192Zimbabwe641844.7Africa
\n", + "

193 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "5 Antigua & Barbuda 102 128 45 \n", + "6 Argentina 193 25 221 \n", + "7 Armenia 21 179 11 \n", + "8 Australia 261 72 212 \n", + "9 Austria 279 75 191 \n", + "10 Azerbaijan 21 46 5 \n", + "11 Bahamas 122 176 51 \n", + "12 Bahrain 42 63 7 \n", + "13 Bangladesh 0 0 0 \n", + "14 Barbados 143 173 36 \n", + "15 Belarus 142 373 42 \n", + "16 Belgium 295 84 212 \n", + "17 Belize 263 114 8 \n", + "18 Benin 34 4 13 \n", + "19 Bhutan 23 0 0 \n", + "20 Bolivia 167 41 8 \n", + "21 Bosnia-Herzegovina 76 173 8 \n", + "22 Botswana 173 35 35 \n", + "23 Brazil 245 145 16 \n", + "24 Brunei 31 2 1 \n", + "25 Bulgaria 231 252 94 \n", + "26 Burkina Faso 25 7 7 \n", + "27 Burundi 88 0 0 \n", + "28 Cote d'Ivoire 37 1 7 \n", + "29 Cabo Verde 144 56 16 \n", + ".. ... ... ... ... \n", + "163 Suriname 128 178 7 \n", + "164 Swaziland 90 2 2 \n", + "165 Sweden 152 60 186 \n", + "166 Switzerland 185 100 280 \n", + "167 Syria 5 35 16 \n", + "168 Tajikistan 2 15 0 \n", + "169 Thailand 99 258 1 \n", + "170 Macedonia 106 27 86 \n", + "171 Timor-Leste 1 1 4 \n", + "172 Togo 36 2 19 \n", + "173 Tonga 36 21 5 \n", + "174 Trinidad & Tobago 197 156 7 \n", + "175 Tunisia 51 3 20 \n", + "176 Turkey 51 22 7 \n", + "177 Turkmenistan 19 71 32 \n", + "178 Tuvalu 6 41 9 \n", + "179 Uganda 45 9 0 \n", + "180 Ukraine 206 237 45 \n", + "181 United Arab Emirates 16 135 5 \n", + "182 United Kingdom 219 126 195 \n", + "183 Tanzania 36 6 1 \n", + "184 USA 249 158 84 \n", + "185 Uruguay 115 35 220 \n", + "186 Uzbekistan 25 101 8 \n", + "187 Vanuatu 21 18 11 \n", + "188 Venezuela 333 100 3 \n", + "189 Vietnam 111 2 1 \n", + "190 Yemen 6 0 0 \n", + "191 Zambia 32 19 4 \n", + "192 Zimbabwe 64 18 4 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa \n", + "5 4.9 North America \n", + "6 8.3 South America \n", + "7 3.8 Europe \n", + "8 10.4 Oceania \n", + "9 9.7 Europe \n", + "10 1.3 Europe \n", + "11 6.3 North America \n", + "12 2.0 Asia \n", + "13 0.0 Asia \n", + "14 6.3 North America \n", + "15 14.4 Europe \n", + "16 10.5 Europe \n", + "17 6.8 North America \n", + "18 1.1 Africa \n", + "19 0.4 Asia \n", + "20 3.8 South America \n", + "21 4.6 Europe \n", + "22 5.4 Africa \n", + "23 7.2 South America \n", + "24 0.6 Asia \n", + "25 10.3 Europe \n", + "26 4.3 Africa \n", + "27 6.3 Africa \n", + "28 4.0 Africa \n", + "29 4.0 Africa \n", + ".. ... ... \n", + "163 5.6 South America \n", + "164 4.7 Africa \n", + "165 7.2 Europe \n", + "166 10.2 Europe \n", + "167 1.0 Asia \n", + "168 0.3 Asia \n", + "169 6.4 Asia \n", + "170 3.9 Europe \n", + "171 0.1 Asia \n", + "172 1.3 Africa \n", + "173 1.1 Oceania \n", + "174 6.4 North America \n", + "175 1.3 Africa \n", + "176 1.4 Asia \n", + "177 2.2 Asia \n", + "178 1.0 Oceania \n", + "179 8.3 Africa \n", + "180 8.9 Europe \n", + "181 2.8 Asia \n", + "182 10.4 Europe \n", + "183 5.7 Africa \n", + "184 8.7 North America \n", + "185 6.6 South America \n", + "186 2.4 Asia \n", + "187 0.9 Oceania \n", + "188 7.7 South America \n", + "189 2.0 Asia \n", + "190 0.1 Asia \n", + "191 2.5 Africa \n", + "192 4.7 Africa \n", + "\n", + "[193 rows x 6 columns]" + ] + }, + "execution_count": 283, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# only 60 rows will be displayed when printing\n", + "drinks" + ] + }, + { + "cell_type": "code", + "execution_count": 284, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "60" + ] + }, + "execution_count": 284, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check the current setting for the 'max_rows' option\n", + "pd.get_option('display.max_rows')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`get_option`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_option.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 285, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
5Antigua & Barbuda102128454.9North America
6Argentina193252218.3South America
7Armenia21179113.8Europe
8Australia2617221210.4Oceania
9Austria279751919.7Europe
10Azerbaijan214651.3Europe
11Bahamas122176516.3North America
12Bahrain426372.0Asia
13Bangladesh0000.0Asia
14Barbados143173366.3North America
15Belarus1423734214.4Europe
16Belgium2958421210.5Europe
17Belize26311486.8North America
18Benin344131.1Africa
19Bhutan23000.4Asia
20Bolivia1674183.8South America
21Bosnia-Herzegovina7617384.6Europe
22Botswana17335355.4Africa
23Brazil245145167.2South America
24Brunei31210.6Asia
25Bulgaria2312529410.3Europe
26Burkina Faso25774.3Africa
27Burundi88006.3Africa
28Cote d'Ivoire37174.0Africa
29Cabo Verde14456164.0Africa
30Cambodia576512.2Asia
31Cameroon147145.8Africa
32Canada2401221008.2North America
33Central African Republic17211.8Africa
34Chad15110.4Africa
35Chile1301241727.6South America
36China7919285.0Asia
37Colombia1597634.2South America
38Comoros1310.1Africa
39Congo76191.7Africa
40Cook Islands0254745.9Oceania
41Costa Rica14987114.4North America
42Croatia2308725410.2Europe
43Cuba9313754.2North America
44Cyprus1921541138.2Europe
45Czech Republic36117013411.8Europe
46North Korea0000.0Asia
47DR Congo32312.3Africa
48Denmark2248127810.4Europe
49Djibouti154431.1Africa
50Dominica52286266.6North America
51Dominican Republic19314796.2North America
52Ecuador1627434.2South America
53Egypt6410.2Africa
54El Salvador526922.2North America
55Equatorial Guinea9202335.8Africa
56Eritrea18000.5Africa
57Estonia224194599.5Europe
58Ethiopia20300.7Africa
59Fiji773512.0Oceania
60Finland2631339710.0Europe
61France12715137011.8Europe
62Gabon34798598.9Africa
63Gambia8012.4Africa
64Georgia521001495.4Europe
65Germany34611717511.3Europe
66Ghana313101.8Africa
67Greece1331122188.3Europe
68Grenada1994382811.9North America
69Guatemala536922.2North America
70Guinea9020.2Africa
71Guinea-Bissau2831212.5Africa
72Guyana9330217.1South America
73Haiti132615.9North America
74Honduras699823.0North America
75Hungary23421518511.3Europe
76Iceland23361786.6Europe
77India911402.2Asia
78Indonesia5100.1Asia
79Iran0000.0Asia
80Iraq9300.2Asia
81Ireland31311816511.4Europe
82Israel636992.5Asia
83Italy85422376.5Europe
84Jamaica829793.4North America
85Japan77202167.0Asia
86Jordan62110.5Asia
87Kazakhstan124246126.8Asia
88Kenya582221.8Africa
89Kiribati213411.0Oceania
90Kuwait0000.0Asia
91Kyrgyzstan319762.4Asia
92Laos6201236.2Asia
93Latvia2812166210.5Europe
94Lebanon2055311.9Asia
95Lesotho822902.8Africa
96Liberia1915223.1Africa
97Libya0000.0Africa
98Lithuania3432445612.9Europe
99Luxembourg23613327111.4Europe
100Madagascar261540.8Africa
101Malawi81111.5Africa
102Malaysia13400.3Asia
103Maldives0000.0Asia
104Mali5110.6Africa
105Malta1491001206.6Europe
106Marshall Islands0000.0Oceania
107Mauritania0000.0Africa
108Mauritius9831182.6Africa
109Mexico2386855.5North America
110Micronesia6250182.3Oceania
111Monaco0000.0Europe
112Mongolia7718984.9Asia
113Montenegro311141284.9Europe
114Morocco126100.5Africa
115Mozambique471851.3Africa
116Myanmar5100.1Asia
117Namibia376316.8Africa
118Nauru49081.0Oceania
119Nepal5600.2Asia
120Netherlands251881909.4Europe
121New Zealand203791759.3Oceania
122Nicaragua7811813.5North America
123Niger3210.1Africa
124Nigeria42529.1Africa
125Niue18820077.0Oceania
126Norway169711296.7Europe
127Oman221610.7Asia
128Pakistan0000.0Asia
129Palau30663236.9Oceania
130Panama285104187.2North America
131Papua New Guinea443911.5Oceania
132Paraguay213117747.3South America
133Peru163160216.1South America
134Philippines7118614.6Asia
135Poland3432155610.9Europe
136Portugal1946733911.0Europe
137Qatar14270.9Asia
138South Korea1401699.8Asia
139Moldova109226186.3Europe
140Romania29712216710.4Europe
141Russian Federation2473267311.5Asia
142Rwanda43206.8Africa
143St. Kitts & Nevis194205327.7North America
144St. Lucia1713157110.1North America
145St. Vincent & the Grenadines120221116.3North America
146Samoa10518242.6Oceania
147San Marino0000.0Europe
148Sao Tome & Principe56381404.2Africa
149Saudi Arabia0500.1Asia
150Senegal9170.3Africa
151Serbia2831311279.6Europe
152Seychelles15725514.1Africa
153Sierra Leone25326.7Africa
154Singapore6012111.5Asia
155Slovakia19629311611.4Europe
156Slovenia2705127610.6Europe
157Solomon Islands561111.2Oceania
158Somalia0000.0Africa
159South Africa22576818.2Africa
160Spain28415711210.0Europe
161Sri Lanka1610402.2Asia
162Sudan81301.7Africa
163Suriname12817875.6South America
164Swaziland90224.7Africa
165Sweden152601867.2Europe
166Switzerland18510028010.2Europe
167Syria535161.0Asia
168Tajikistan21500.3Asia
169Thailand9925816.4Asia
170Macedonia10627863.9Europe
171Timor-Leste1140.1Asia
172Togo362191.3Africa
173Tonga362151.1Oceania
174Trinidad & Tobago19715676.4North America
175Tunisia513201.3Africa
176Turkey512271.4Asia
177Turkmenistan1971322.2Asia
178Tuvalu64191.0Oceania
179Uganda45908.3Africa
180Ukraine206237458.9Europe
181United Arab Emirates1613552.8Asia
182United Kingdom21912619510.4Europe
183Tanzania36615.7Africa
184USA249158848.7North America
185Uruguay115352206.6South America
186Uzbekistan2510182.4Asia
187Vanuatu2118110.9Oceania
188Venezuela33310037.7South America
189Vietnam111212.0Asia
190Yemen6000.1Asia
191Zambia321942.5Africa
192Zimbabwe641844.7Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings \\\n", + "0 Afghanistan 0 0 \n", + "1 Albania 89 132 \n", + "2 Algeria 25 0 \n", + "3 Andorra 245 138 \n", + "4 Angola 217 57 \n", + "5 Antigua & Barbuda 102 128 \n", + "6 Argentina 193 25 \n", + "7 Armenia 21 179 \n", + "8 Australia 261 72 \n", + "9 Austria 279 75 \n", + "10 Azerbaijan 21 46 \n", + "11 Bahamas 122 176 \n", + "12 Bahrain 42 63 \n", + "13 Bangladesh 0 0 \n", + "14 Barbados 143 173 \n", + "15 Belarus 142 373 \n", + "16 Belgium 295 84 \n", + "17 Belize 263 114 \n", + "18 Benin 34 4 \n", + "19 Bhutan 23 0 \n", + "20 Bolivia 167 41 \n", + "21 Bosnia-Herzegovina 76 173 \n", + "22 Botswana 173 35 \n", + "23 Brazil 245 145 \n", + "24 Brunei 31 2 \n", + "25 Bulgaria 231 252 \n", + "26 Burkina Faso 25 7 \n", + "27 Burundi 88 0 \n", + "28 Cote d'Ivoire 37 1 \n", + "29 Cabo Verde 144 56 \n", + "30 Cambodia 57 65 \n", + "31 Cameroon 147 1 \n", + "32 Canada 240 122 \n", + "33 Central African Republic 17 2 \n", + "34 Chad 15 1 \n", + "35 Chile 130 124 \n", + "36 China 79 192 \n", + "37 Colombia 159 76 \n", + "38 Comoros 1 3 \n", + "39 Congo 76 1 \n", + "40 Cook Islands 0 254 \n", + "41 Costa Rica 149 87 \n", + "42 Croatia 230 87 \n", + "43 Cuba 93 137 \n", + "44 Cyprus 192 154 \n", + "45 Czech Republic 361 170 \n", + "46 North Korea 0 0 \n", + "47 DR Congo 32 3 \n", + "48 Denmark 224 81 \n", + "49 Djibouti 15 44 \n", + "50 Dominica 52 286 \n", + "51 Dominican Republic 193 147 \n", + "52 Ecuador 162 74 \n", + "53 Egypt 6 4 \n", + "54 El Salvador 52 69 \n", + "55 Equatorial Guinea 92 0 \n", + "56 Eritrea 18 0 \n", + "57 Estonia 224 194 \n", + "58 Ethiopia 20 3 \n", + "59 Fiji 77 35 \n", + "60 Finland 263 133 \n", + "61 France 127 151 \n", + "62 Gabon 347 98 \n", + "63 Gambia 8 0 \n", + "64 Georgia 52 100 \n", + "65 Germany 346 117 \n", + "66 Ghana 31 3 \n", + "67 Greece 133 112 \n", + "68 Grenada 199 438 \n", + "69 Guatemala 53 69 \n", + "70 Guinea 9 0 \n", + "71 Guinea-Bissau 28 31 \n", + "72 Guyana 93 302 \n", + "73 Haiti 1 326 \n", + "74 Honduras 69 98 \n", + "75 Hungary 234 215 \n", + "76 Iceland 233 61 \n", + "77 India 9 114 \n", + "78 Indonesia 5 1 \n", + "79 Iran 0 0 \n", + "80 Iraq 9 3 \n", + "81 Ireland 313 118 \n", + "82 Israel 63 69 \n", + "83 Italy 85 42 \n", + "84 Jamaica 82 97 \n", + "85 Japan 77 202 \n", + "86 Jordan 6 21 \n", + "87 Kazakhstan 124 246 \n", + "88 Kenya 58 22 \n", + "89 Kiribati 21 34 \n", + "90 Kuwait 0 0 \n", + "91 Kyrgyzstan 31 97 \n", + "92 Laos 62 0 \n", + "93 Latvia 281 216 \n", + "94 Lebanon 20 55 \n", + "95 Lesotho 82 29 \n", + "96 Liberia 19 152 \n", + "97 Libya 0 0 \n", + "98 Lithuania 343 244 \n", + "99 Luxembourg 236 133 \n", + "100 Madagascar 26 15 \n", + "101 Malawi 8 11 \n", + "102 Malaysia 13 4 \n", + "103 Maldives 0 0 \n", + "104 Mali 5 1 \n", + "105 Malta 149 100 \n", + "106 Marshall Islands 0 0 \n", + "107 Mauritania 0 0 \n", + "108 Mauritius 98 31 \n", + "109 Mexico 238 68 \n", + "110 Micronesia 62 50 \n", + "111 Monaco 0 0 \n", + "112 Mongolia 77 189 \n", + "113 Montenegro 31 114 \n", + "114 Morocco 12 6 \n", + "115 Mozambique 47 18 \n", + "116 Myanmar 5 1 \n", + "117 Namibia 376 3 \n", + "118 Nauru 49 0 \n", + "119 Nepal 5 6 \n", + "120 Netherlands 251 88 \n", + "121 New Zealand 203 79 \n", + "122 Nicaragua 78 118 \n", + "123 Niger 3 2 \n", + "124 Nigeria 42 5 \n", + "125 Niue 188 200 \n", + "126 Norway 169 71 \n", + "127 Oman 22 16 \n", + "128 Pakistan 0 0 \n", + "129 Palau 306 63 \n", + "130 Panama 285 104 \n", + "131 Papua New Guinea 44 39 \n", + "132 Paraguay 213 117 \n", + "133 Peru 163 160 \n", + "134 Philippines 71 186 \n", + "135 Poland 343 215 \n", + "136 Portugal 194 67 \n", + "137 Qatar 1 42 \n", + "138 South Korea 140 16 \n", + "139 Moldova 109 226 \n", + "140 Romania 297 122 \n", + "141 Russian Federation 247 326 \n", + "142 Rwanda 43 2 \n", + "143 St. Kitts & Nevis 194 205 \n", + "144 St. Lucia 171 315 \n", + "145 St. Vincent & the Grenadines 120 221 \n", + "146 Samoa 105 18 \n", + "147 San Marino 0 0 \n", + "148 Sao Tome & Principe 56 38 \n", + "149 Saudi Arabia 0 5 \n", + "150 Senegal 9 1 \n", + "151 Serbia 283 131 \n", + "152 Seychelles 157 25 \n", + "153 Sierra Leone 25 3 \n", + "154 Singapore 60 12 \n", + "155 Slovakia 196 293 \n", + "156 Slovenia 270 51 \n", + "157 Solomon Islands 56 11 \n", + "158 Somalia 0 0 \n", + "159 South Africa 225 76 \n", + "160 Spain 284 157 \n", + "161 Sri Lanka 16 104 \n", + "162 Sudan 8 13 \n", + "163 Suriname 128 178 \n", + "164 Swaziland 90 2 \n", + "165 Sweden 152 60 \n", + "166 Switzerland 185 100 \n", + "167 Syria 5 35 \n", + "168 Tajikistan 2 15 \n", + "169 Thailand 99 258 \n", + "170 Macedonia 106 27 \n", + "171 Timor-Leste 1 1 \n", + "172 Togo 36 2 \n", + "173 Tonga 36 21 \n", + "174 Trinidad & Tobago 197 156 \n", + "175 Tunisia 51 3 \n", + "176 Turkey 51 22 \n", + "177 Turkmenistan 19 71 \n", + "178 Tuvalu 6 41 \n", + "179 Uganda 45 9 \n", + "180 Ukraine 206 237 \n", + "181 United Arab Emirates 16 135 \n", + "182 United Kingdom 219 126 \n", + "183 Tanzania 36 6 \n", + "184 USA 249 158 \n", + "185 Uruguay 115 35 \n", + "186 Uzbekistan 25 101 \n", + "187 Vanuatu 21 18 \n", + "188 Venezuela 333 100 \n", + "189 Vietnam 111 2 \n", + "190 Yemen 6 0 \n", + "191 Zambia 32 19 \n", + "192 Zimbabwe 64 18 \n", + "\n", + " wine_servings total_litres_of_pure_alcohol continent \n", + "0 0 0.0 Asia \n", + "1 54 4.9 Europe \n", + "2 14 0.7 Africa \n", + "3 312 12.4 Europe \n", + "4 45 5.9 Africa \n", + "5 45 4.9 North America \n", + "6 221 8.3 South America \n", + "7 11 3.8 Europe \n", + "8 212 10.4 Oceania \n", + "9 191 9.7 Europe \n", + "10 5 1.3 Europe \n", + "11 51 6.3 North America \n", + "12 7 2.0 Asia \n", + "13 0 0.0 Asia \n", + "14 36 6.3 North America \n", + "15 42 14.4 Europe \n", + "16 212 10.5 Europe \n", + "17 8 6.8 North America \n", + "18 13 1.1 Africa \n", + "19 0 0.4 Asia \n", + "20 8 3.8 South America \n", + "21 8 4.6 Europe \n", + "22 35 5.4 Africa \n", + "23 16 7.2 South America \n", + "24 1 0.6 Asia \n", + "25 94 10.3 Europe \n", + "26 7 4.3 Africa \n", + "27 0 6.3 Africa \n", + "28 7 4.0 Africa \n", + "29 16 4.0 Africa \n", + "30 1 2.2 Asia \n", + "31 4 5.8 Africa \n", + "32 100 8.2 North America \n", + "33 1 1.8 Africa \n", + "34 1 0.4 Africa \n", + "35 172 7.6 South America \n", + "36 8 5.0 Asia \n", + "37 3 4.2 South America \n", + "38 1 0.1 Africa \n", + "39 9 1.7 Africa \n", + "40 74 5.9 Oceania \n", + "41 11 4.4 North America \n", + "42 254 10.2 Europe \n", + "43 5 4.2 North America \n", + "44 113 8.2 Europe \n", + "45 134 11.8 Europe \n", + "46 0 0.0 Asia \n", + "47 1 2.3 Africa \n", + "48 278 10.4 Europe \n", + "49 3 1.1 Africa \n", + "50 26 6.6 North America \n", + "51 9 6.2 North America \n", + "52 3 4.2 South America \n", + "53 1 0.2 Africa \n", + "54 2 2.2 North America \n", + "55 233 5.8 Africa \n", + "56 0 0.5 Africa \n", + "57 59 9.5 Europe \n", + "58 0 0.7 Africa \n", + "59 1 2.0 Oceania \n", + "60 97 10.0 Europe \n", + "61 370 11.8 Europe \n", + "62 59 8.9 Africa \n", + "63 1 2.4 Africa \n", + "64 149 5.4 Europe \n", + "65 175 11.3 Europe \n", + "66 10 1.8 Africa \n", + "67 218 8.3 Europe \n", + "68 28 11.9 North America \n", + "69 2 2.2 North America \n", + "70 2 0.2 Africa \n", + "71 21 2.5 Africa \n", + "72 1 7.1 South America \n", + "73 1 5.9 North America \n", + "74 2 3.0 North America \n", + "75 185 11.3 Europe \n", + "76 78 6.6 Europe \n", + "77 0 2.2 Asia \n", + "78 0 0.1 Asia \n", + "79 0 0.0 Asia \n", + "80 0 0.2 Asia \n", + "81 165 11.4 Europe \n", + "82 9 2.5 Asia \n", + "83 237 6.5 Europe \n", + "84 9 3.4 North America \n", + "85 16 7.0 Asia \n", + "86 1 0.5 Asia \n", + "87 12 6.8 Asia \n", + "88 2 1.8 Africa \n", + "89 1 1.0 Oceania \n", + "90 0 0.0 Asia \n", + "91 6 2.4 Asia \n", + "92 123 6.2 Asia \n", + "93 62 10.5 Europe \n", + "94 31 1.9 Asia \n", + "95 0 2.8 Africa \n", + "96 2 3.1 Africa \n", + "97 0 0.0 Africa \n", + "98 56 12.9 Europe \n", + "99 271 11.4 Europe \n", + "100 4 0.8 Africa \n", + "101 1 1.5 Africa \n", + "102 0 0.3 Asia \n", + "103 0 0.0 Asia \n", + "104 1 0.6 Africa \n", + "105 120 6.6 Europe \n", + "106 0 0.0 Oceania \n", + "107 0 0.0 Africa \n", + "108 18 2.6 Africa \n", + "109 5 5.5 North America \n", + "110 18 2.3 Oceania \n", + "111 0 0.0 Europe \n", + "112 8 4.9 Asia \n", + "113 128 4.9 Europe \n", + "114 10 0.5 Africa \n", + "115 5 1.3 Africa \n", + "116 0 0.1 Asia \n", + "117 1 6.8 Africa \n", + "118 8 1.0 Oceania \n", + "119 0 0.2 Asia \n", + "120 190 9.4 Europe \n", + "121 175 9.3 Oceania \n", + "122 1 3.5 North America \n", + "123 1 0.1 Africa \n", + "124 2 9.1 Africa \n", + "125 7 7.0 Oceania \n", + "126 129 6.7 Europe \n", + "127 1 0.7 Asia \n", + "128 0 0.0 Asia \n", + "129 23 6.9 Oceania \n", + "130 18 7.2 North America \n", + "131 1 1.5 Oceania \n", + "132 74 7.3 South America \n", + "133 21 6.1 South America \n", + "134 1 4.6 Asia \n", + "135 56 10.9 Europe \n", + "136 339 11.0 Europe \n", + "137 7 0.9 Asia \n", + "138 9 9.8 Asia \n", + "139 18 6.3 Europe \n", + "140 167 10.4 Europe \n", + "141 73 11.5 Asia \n", + "142 0 6.8 Africa \n", + "143 32 7.7 North America \n", + "144 71 10.1 North America \n", + "145 11 6.3 North America \n", + "146 24 2.6 Oceania \n", + "147 0 0.0 Europe \n", + "148 140 4.2 Africa \n", + "149 0 0.1 Asia \n", + "150 7 0.3 Africa \n", + "151 127 9.6 Europe \n", + "152 51 4.1 Africa \n", + "153 2 6.7 Africa \n", + "154 11 1.5 Asia \n", + "155 116 11.4 Europe \n", + "156 276 10.6 Europe \n", + "157 1 1.2 Oceania \n", + "158 0 0.0 Africa \n", + "159 81 8.2 Africa \n", + "160 112 10.0 Europe \n", + "161 0 2.2 Asia \n", + "162 0 1.7 Africa \n", + "163 7 5.6 South America \n", + "164 2 4.7 Africa \n", + "165 186 7.2 Europe \n", + "166 280 10.2 Europe \n", + "167 16 1.0 Asia \n", + "168 0 0.3 Asia \n", + "169 1 6.4 Asia \n", + "170 86 3.9 Europe \n", + "171 4 0.1 Asia \n", + "172 19 1.3 Africa \n", + "173 5 1.1 Oceania \n", + "174 7 6.4 North America \n", + "175 20 1.3 Africa \n", + "176 7 1.4 Asia \n", + "177 32 2.2 Asia \n", + "178 9 1.0 Oceania \n", + "179 0 8.3 Africa \n", + "180 45 8.9 Europe \n", + "181 5 2.8 Asia \n", + "182 195 10.4 Europe \n", + "183 1 5.7 Africa \n", + "184 84 8.7 North America \n", + "185 220 6.6 South America \n", + "186 8 2.4 Asia \n", + "187 11 0.9 Oceania \n", + "188 3 7.7 South America \n", + "189 1 2.0 Asia \n", + "190 0 0.1 Asia \n", + "191 4 2.5 Africa \n", + "192 4 4.7 Africa " + ] + }, + "execution_count": 285, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# overwrite the current setting so that all rows will be displayed\n", + "pd.set_option('display.max_rows', None)\n", + "drinks" + ] + }, + { + "cell_type": "code", + "execution_count": 286, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# reset the 'max_rows' option to its default\n", + "pd.reset_option('display.max_rows')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`set_option`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.set_option.html) and [**`reset_option`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.reset_option.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 287, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "20" + ] + }, + "execution_count": 287, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# the 'max_columns' option is similar to 'max_rows'\n", + "pd.get_option('display.max_columns')" + ] + }, + { + "cell_type": "code", + "execution_count": 288, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S " + ] + }, + "execution_count": 288, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read the training dataset from Kaggle's Titanic competition into a DataFrame\n", + "train = pd.read_csv('http://bit.ly/kaggletrain')\n", + "train.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 289, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "50" + ] + }, + "execution_count": 289, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# an ellipsis is displayed in the 'Name' cell of row 1 because of the 'max_colwidth' option\n", + "pd.get_option('display.max_colwidth')" + ] + }, + { + "cell_type": "code", + "execution_count": 290, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Thayer)female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Thayer) female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S " + ] + }, + "execution_count": 290, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# overwrite the current setting so that more characters will be displayed\n", + "pd.set_option('display.max_colwidth', 1000)\n", + "train.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 291, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.25NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Thayer)female38.010PC 1759971.28C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.92NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.10C123S
4503Allen, Mr. William Henrymale35.0003734508.05NaNS
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Thayer) female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.25 NaN S \n", + "1 0 PC 17599 71.28 C85 C \n", + "2 0 STON/O2. 3101282 7.92 NaN S \n", + "3 0 113803 53.10 C123 S \n", + "4 0 373450 8.05 NaN S " + ] + }, + "execution_count": 291, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# overwrite the 'precision' setting to display 2 digits after the decimal point of 'Fare'\n", + "pd.set_option('display.precision', 2)\n", + "train.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 292, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinentxy
0Afghanistan0000.0Asia00.0
1Albania89132544.9Europe540004900.0
2Algeria250140.7Africa14000700.0
3Andorra24513831212.4Europe31200012400.0
4Angola21757455.9Africa450005900.0
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent x y \n", + "0 0.0 Asia 0 0.0 \n", + "1 4.9 Europe 54000 4900.0 \n", + "2 0.7 Africa 14000 700.0 \n", + "3 12.4 Europe 312000 12400.0 \n", + "4 5.9 Africa 45000 5900.0 " + ] + }, + "execution_count": 292, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# add two meaningless columns to the drinks DataFrame\n", + "drinks['x'] = drinks.wine_servings * 1000\n", + "drinks['y'] = drinks.total_litres_of_pure_alcohol * 1000\n", + "drinks.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 293, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinentxy
0Afghanistan0000.0Asia00.0
1Albania89132544.9Europe540004,900.0
2Algeria250140.7Africa14000700.0
3Andorra24513831212.4Europe31200012,400.0
4Angola21757455.9Africa450005,900.0
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent x y \n", + "0 0.0 Asia 0 0.0 \n", + "1 4.9 Europe 54000 4,900.0 \n", + "2 0.7 Africa 14000 700.0 \n", + "3 12.4 Europe 312000 12,400.0 \n", + "4 5.9 Africa 45000 5,900.0 " + ] + }, + "execution_count": 293, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use a Python format string to specify a comma as the thousands separator\n", + "pd.set_option('display.float_format', '{:,}'.format)\n", + "drinks.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 294, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "country object\n", + "beer_servings int64\n", + "spirit_servings int64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "continent object\n", + "x int64\n", + "y float64\n", + "dtype: object" + ] + }, + "execution_count": 294, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'y' was affected (but not 'x') because the 'float_format' option only affects floats (not ints)\n", + "drinks.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 295, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "display.chop_threshold : float or None\n", + " if set to a float value, all float values smaller then the given threshold\n", + " will be displayed as exactly 0 by repr and friends.\n", + " [default: None] [currently: None]\n", + "\n", + "display.colheader_justify : 'left'/'right'\n", + " Controls the justification of column headers. used by DataFrameFormatter.\n", + " [default: right] [currently: right]\n", + "\n", + "display.column_space No description available.\n", + " [default: 12] [currently: 12]\n", + "\n", + "display.date_dayfirst : boolean\n", + " When True, prints and parses dates with the day first, eg 20/01/2005\n", + " [default: False] [currently: False]\n", + "\n", + "display.date_yearfirst : boolean\n", + " When True, prints and parses dates with the year first, eg 2005/01/20\n", + " [default: False] [currently: False]\n", + "\n", + "display.encoding : str/unicode\n", + " Defaults to the detected encoding of the console.\n", + " Specifies the encoding to be used for strings returned by to_string,\n", + " these are generally strings meant to be displayed on the console.\n", + " [default: UTF-8] [currently: UTF-8]\n", + "\n", + "display.expand_frame_repr : boolean\n", + " Whether to print out the full DataFrame repr for wide DataFrames across\n", + " multiple lines, `max_columns` is still respected, but the output will\n", + " wrap-around across multiple \"pages\" if its width exceeds `display.width`.\n", + " [default: True] [currently: True]\n", + "\n", + "display.float_format : callable\n", + " The callable should accept a floating point number and return\n", + " a string with the desired format of the number. This is used\n", + " in some places like SeriesFormatter.\n", + " See formats.format.EngFormatter for an example.\n", + " [default: None] [currently: ]\n", + "\n", + "display.height : int\n", + " Deprecated.\n", + " [default: 60] [currently: 60]\n", + " (Deprecated, use `display.max_rows` instead.)\n", + "\n", + "display.large_repr : 'truncate'/'info'\n", + " For DataFrames exceeding max_rows/max_cols, the repr (and HTML repr) can\n", + " show a truncated table (the default from 0.13), or switch to the view from\n", + " df.info() (the behaviour in earlier versions of pandas).\n", + " [default: truncate] [currently: truncate]\n", + "\n", + "display.latex.escape : bool\n", + " This specifies if the to_latex method of a Dataframe uses escapes special\n", + " characters.\n", + " method. Valid values: False,True\n", + " [default: True] [currently: True]\n", + "\n", + "display.latex.longtable :bool\n", + " This specifies if the to_latex method of a Dataframe uses the longtable\n", + " format.\n", + " method. Valid values: False,True\n", + " [default: False] [currently: False]\n", + "\n", + "display.latex.repr : boolean\n", + " Whether to produce a latex DataFrame representation for jupyter\n", + " environments that support it.\n", + " (default: False)\n", + " [default: False] [currently: False]\n", + "\n", + "display.line_width : int\n", + " Deprecated.\n", + " [default: 80] [currently: 80]\n", + " (Deprecated, use `display.width` instead.)\n", + "\n", + "display.max_categories : int\n", + " This sets the maximum number of categories pandas should output when\n", + " printing out a `Categorical` or a Series of dtype \"category\".\n", + " [default: 8] [currently: 8]\n", + "\n", + "display.max_columns : int\n", + " If max_cols is exceeded, switch to truncate view. Depending on\n", + " `large_repr`, objects are either centrally truncated or printed as\n", + " a summary view. 'None' value means unlimited.\n", + "\n", + " In case python/IPython is running in a terminal and `large_repr`\n", + " equals 'truncate' this can be set to 0 and pandas will auto-detect\n", + " the width of the terminal and print a truncated object which fits\n", + " the screen width. The IPython notebook, IPython qtconsole, or IDLE\n", + " do not run in a terminal and hence it is not possible to do\n", + " correct auto-detection.\n", + " [default: 20] [currently: 20]\n", + "\n", + "display.max_colwidth : int\n", + " The maximum width in characters of a column in the repr of\n", + " a pandas data structure. When the column overflows, a \"...\"\n", + " placeholder is embedded in the output.\n", + " [default: 50] [currently: 1000]\n", + "\n", + "display.max_info_columns : int\n", + " max_info_columns is used in DataFrame.info method to decide if\n", + " per column information will be printed.\n", + " [default: 100] [currently: 100]\n", + "\n", + "display.max_info_rows : int or None\n", + " df.info() will usually show null-counts for each column.\n", + " For large frames this can be quite slow. max_info_rows and max_info_cols\n", + " limit this null check only to frames with smaller dimensions than\n", + " specified.\n", + " [default: 1690785] [currently: 1690785]\n", + "\n", + "display.max_rows : int\n", + " If max_rows is exceeded, switch to truncate view. Depending on\n", + " `large_repr`, objects are either centrally truncated or printed as\n", + " a summary view. 'None' value means unlimited.\n", + "\n", + " In case python/IPython is running in a terminal and `large_repr`\n", + " equals 'truncate' this can be set to 0 and pandas will auto-detect\n", + " the height of the terminal and print a truncated object which fits\n", + " the screen height. The IPython notebook, IPython qtconsole, or\n", + " IDLE do not run in a terminal and hence it is not possible to do\n", + " correct auto-detection.\n", + " [default: 60] [currently: 60]\n", + "\n", + "display.max_seq_items : int or None\n", + " when pretty-printing a long sequence, no more then `max_seq_items`\n", + " will be printed. If items are omitted, they will be denoted by the\n", + " addition of \"...\" to the resulting string.\n", + "\n", + " If set to None, the number of items to be printed is unlimited.\n", + " [default: 100] [currently: 100]\n", + "\n", + "display.memory_usage : bool, string or None\n", + " This specifies if the memory usage of a DataFrame should be displayed when\n", + " df.info() is called. Valid values True,False,'deep'\n", + " [default: True] [currently: True]\n", + "\n", + "display.mpl_style : bool\n", + " Setting this to 'default' will modify the rcParams used by matplotlib\n", + " to give plots a more pleasing visual style by default.\n", + " Setting this to None/False restores the values to their initial value.\n", + " [default: None] [currently: None]\n", + "\n", + "display.multi_sparse : boolean\n", + " \"sparsify\" MultiIndex display (don't display repeated\n", + " elements in outer levels within groups)\n", + " [default: True] [currently: True]\n", + "\n", + "display.notebook_repr_html : boolean\n", + " When True, IPython notebook will use html representation for\n", + " pandas objects (if it is available).\n", + " [default: True] [currently: True]\n", + "\n", + "display.pprint_nest_depth : int\n", + " Controls the number of nested levels to process when pretty-printing\n", + " [default: 3] [currently: 3]\n", + "\n", + "display.precision : int\n", + " Floating point output precision (number of significant digits). This is\n", + " only a suggestion\n", + " [default: 6] [currently: 2]\n", + "\n", + "display.show_dimensions : boolean or 'truncate'\n", + " Whether to print out dimensions at the end of DataFrame repr.\n", + " If 'truncate' is specified, only print out the dimensions if the\n", + " frame is truncated (e.g. not display all rows and/or columns)\n", + " [default: truncate] [currently: truncate]\n", + "\n", + "display.unicode.ambiguous_as_wide : boolean\n", + " Whether to use the Unicode East Asian Width to calculate the display text\n", + " width.\n", + " Enabling this may affect to the performance (default: False)\n", + " [default: False] [currently: False]\n", + "\n", + "display.unicode.east_asian_width : boolean\n", + " Whether to use the Unicode East Asian Width to calculate the display text\n", + " width.\n", + " Enabling this may affect to the performance (default: False)\n", + " [default: False] [currently: False]\n", + "\n", + "display.width : int\n", + " Width of the display in characters. In case python/IPython is running in\n", + " a terminal this can be set to None and pandas will correctly auto-detect\n", + " the width.\n", + " Note that the IPython notebook, IPython qtconsole, or IDLE do not run in a\n", + " terminal and hence it is not possible to correctly detect the width.\n", + " [default: 80] [currently: 80]\n", + "\n", + "io.excel.xls.writer : string\n", + " The default Excel writer engine for 'xls' files. Available options:\n", + " 'xlwt' (the default).\n", + " [default: xlwt] [currently: xlwt]\n", + "\n", + "io.excel.xlsm.writer : string\n", + " The default Excel writer engine for 'xlsm' files. Available options:\n", + " 'openpyxl' (the default).\n", + " [default: openpyxl] [currently: openpyxl]\n", + "\n", + "io.excel.xlsx.writer : string\n", + " The default Excel writer engine for 'xlsx' files. Available options:\n", + " 'xlsxwriter' (the default), 'openpyxl'.\n", + " [default: xlsxwriter] [currently: xlsxwriter]\n", + "\n", + "io.hdf.default_format : format\n", + " default format writing format, if None, then\n", + " put will default to 'fixed' and append will default to 'table'\n", + " [default: None] [currently: None]\n", + "\n", + "io.hdf.dropna_table : boolean\n", + " drop ALL nan rows when appending to a table\n", + " [default: False] [currently: False]\n", + "\n", + "mode.chained_assignment : string\n", + " Raise an exception, warn, or no action if trying to use chained assignment,\n", + " The default is warn\n", + " [default: warn] [currently: warn]\n", + "\n", + "mode.sim_interactive : boolean\n", + " Whether to simulate interactive mode for purposes of testing\n", + " [default: False] [currently: False]\n", + "\n", + "mode.use_inf_as_null : boolean\n", + " True means treat None, NaN, INF, -INF as null (old way),\n", + " False means None and NaN are null, but INF, -INF are not null\n", + " (new way).\n", + " [default: False] [currently: False]\n", + "\n", + "\n" + ] + } + ], + "source": [ + "# view the option descriptions (including the default and current values)\n", + "pd.describe_option()" + ] + }, + { + "cell_type": "code", + "execution_count": 296, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "display.max_info_rows : int or None\n", + " df.info() will usually show null-counts for each column.\n", + " For large frames this can be quite slow. max_info_rows and max_info_cols\n", + " limit this null check only to frames with smaller dimensions than\n", + " specified.\n", + " [default: 1690785] [currently: 1690785]\n", + "\n", + "display.max_rows : int\n", + " If max_rows is exceeded, switch to truncate view. Depending on\n", + " `large_repr`, objects are either centrally truncated or printed as\n", + " a summary view. 'None' value means unlimited.\n", + "\n", + " In case python/IPython is running in a terminal and `large_repr`\n", + " equals 'truncate' this can be set to 0 and pandas will auto-detect\n", + " the height of the terminal and print a truncated object which fits\n", + " the screen height. The IPython notebook, IPython qtconsole, or\n", + " IDLE do not run in a terminal and hence it is not possible to do\n", + " correct auto-detection.\n", + " [default: 60] [currently: 60]\n", + "\n", + "\n" + ] + } + ], + "source": [ + "# search for specific options by name\n", + "pd.describe_option('rows')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`describe_option`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.describe_option.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 297, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "height has been deprecated.\n", + "\n", + "line_width has been deprecated, use display.width instead (currently both are\n", + "identical)\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\Kevin\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:2: FutureWarning: \n", + "mpl_style had been deprecated and will be removed in a future version.\n", + "Use `matplotlib.pyplot.style.use` instead.\n", + "\n", + " from ipykernel import kernelapp as app\n" + ] + } + ], + "source": [ + "# reset all of the options to their default values\n", + "pd.reset_option('all')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Options and Settings](http://pandas.pydata.org/pandas-docs/stable/options.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 29. How do I create a pandas DataFrame from another object? ([video](https://www.youtube.com/watch?v=-Ov1N1_FbP8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=29))" + ] + }, + { + "cell_type": "code", + "execution_count": 298, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
colorid
0red100
1blue101
2red102
\n", + "
" + ], + "text/plain": [ + " color id\n", + "0 red 100\n", + "1 blue 101\n", + "2 red 102" + ] + }, + "execution_count": 298, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a DataFrame from a dictionary (keys become column names, values become data)\n", + "pd.DataFrame({'id':[100, 101, 102], 'color':['red', 'blue', 'red']})" + ] + }, + { + "cell_type": "code", + "execution_count": 299, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idcolor
a100red
b101blue
c102red
\n", + "
" + ], + "text/plain": [ + " id color\n", + "a 100 red\n", + "b 101 blue\n", + "c 102 red" + ] + }, + "execution_count": 299, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# optionally specify the order of columns and define the index\n", + "df = pd.DataFrame({'id':[100, 101, 102], 'color':['red', 'blue', 'red']}, columns=['id', 'color'], index=['a', 'b', 'c'])\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`DataFrame`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 300, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idcolor
0100red
1101blue
2102red
\n", + "
" + ], + "text/plain": [ + " id color\n", + "0 100 red\n", + "1 101 blue\n", + "2 102 red" + ] + }, + "execution_count": 300, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a DataFrame from a list of lists (each inner list becomes a row)\n", + "pd.DataFrame([[100, 'red'], [101, 'blue'], [102, 'red']], columns=['id', 'color'])" + ] + }, + { + "cell_type": "code", + "execution_count": 301, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 0.9325265 , 0.48261452],\n", + " [ 0.03239681, 0.94908844],\n", + " [ 0.17615564, 0.80045853],\n", + " [ 0.36113859, 0.95982213]])" + ] + }, + "execution_count": 301, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a NumPy array (with shape 4 by 2) and fill it with random numbers between 0 and 1\n", + "import numpy as np\n", + "arr = np.random.rand(4, 2)\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 302, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
onetwo
00.9325270.482615
10.0323970.949088
20.1761560.800459
30.3611390.959822
\n", + "
" + ], + "text/plain": [ + " one two\n", + "0 0.932527 0.482615\n", + "1 0.032397 0.949088\n", + "2 0.176156 0.800459\n", + "3 0.361139 0.959822" + ] + }, + "execution_count": 302, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a DataFrame from the NumPy array\n", + "pd.DataFrame(arr, columns=['one', 'two'])" + ] + }, + { + "cell_type": "code", + "execution_count": 303, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
studenttest
010078
110183
210279
310385
410473
510591
610681
710786
810888
910996
\n", + "
" + ], + "text/plain": [ + " student test\n", + "0 100 78\n", + "1 101 83\n", + "2 102 79\n", + "3 103 85\n", + "4 104 73\n", + "5 105 91\n", + "6 106 81\n", + "7 107 86\n", + "8 108 88\n", + "9 109 96" + ] + }, + "execution_count": 303, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a DataFrame of student IDs (100 through 109) and test scores (random integers between 60 and 100)\n", + "pd.DataFrame({'student':np.arange(100, 110, 1), 'test':np.random.randint(60, 101, 10)})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`np.arange`**](http://docs.scipy.org/doc/numpy/reference/generated/numpy.arange.html) and [**`np.random`**](http://docs.scipy.org/doc/numpy/reference/routines.random.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 304, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
test
student
10078
10171
10290
10363
10483
10592
10697
10767
10871
10979
\n", + "
" + ], + "text/plain": [ + " test\n", + "student \n", + "100 78\n", + "101 71\n", + "102 90\n", + "103 63\n", + "104 83\n", + "105 92\n", + "106 97\n", + "107 67\n", + "108 71\n", + "109 79" + ] + }, + "execution_count": 304, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 'set_index' can be chained with the DataFrame constructor to select an index\n", + "pd.DataFrame({'student':np.arange(100, 110, 1), 'test':np.random.randint(60, 101, 10)}).set_index('student')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`set_index`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.set_index.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 305, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "c round\n", + "b square\n", + "Name: shape, dtype: object" + ] + }, + "execution_count": 305, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a new Series using the Series constructor\n", + "s = pd.Series(['round', 'square'], index=['c', 'b'], name='shape')\n", + "s" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Documentation for [**`Series`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 306, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idcolorshape
a100redNaN
b101bluesquare
c102redround
\n", + "
" + ], + "text/plain": [ + " id color shape\n", + "a 100 red NaN\n", + "b 101 blue square\n", + "c 102 red round" + ] + }, + "execution_count": 306, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# concatenate the DataFrame and the Series (use axis=1 to concatenate columns)\n", + "pd.concat([df, s], axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Notes:**\n", + "\n", + "- The Series name became the column name in the DataFrame.\n", + "- The Series data was aligned to the DataFrame by its index.\n", + "- The 'shape' for row 'a' was marked as a missing value (NaN) because that index was not present in the Series.\n", + "\n", + "Documentation for [**`concat`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.concat.html)\n", + "\n", + "[Back to top]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 30. How do I apply a function to a pandas Series or DataFrame? ([video](https://www.youtube.com/watch?v=P_q0tkYqvSk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=30))" + ] + }, + { + "cell_type": "code", + "execution_count": 307, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S " + ] + }, + "execution_count": 307, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read the training dataset from Kaggle's Titanic competition into a DataFrame\n", + "train = pd.read_csv('http://bit.ly/kaggletrain')\n", + "train.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Goal:** Map the existing values of a Series to a different set of values\n", + "\n", + "**Method:** [**`map`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.map.html) (Series method)" + ] + }, + { + "cell_type": "code", + "execution_count": 308, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SexSex_num
0male1
1female0
2female0
3female0
4male1
\n", + "
" + ], + "text/plain": [ + " Sex Sex_num\n", + "0 male 1\n", + "1 female 0\n", + "2 female 0\n", + "3 female 0\n", + "4 male 1" + ] + }, + "execution_count": 308, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# map 'female' to 0 and 'male' to 1\n", + "train['Sex_num'] = train.Sex.map({'female':0, 'male':1})\n", + "train.loc[0:4, ['Sex', 'Sex_num']]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Goal:** Apply a function to each element in a Series\n", + "\n", + "**Method:** [**`apply`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.apply.html) (Series method)\n", + "\n", + "**Note:** **`map`** can be substituted for **`apply`** in many cases, but **`apply`** is more flexible and thus is recommended" + ] + }, + { + "cell_type": "code", + "execution_count": 309, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
NameName_length
0Braund, Mr. Owen Harris23
1Cumings, Mrs. John Bradley (Florence Briggs Th...51
2Heikkinen, Miss. Laina22
3Futrelle, Mrs. Jacques Heath (Lily May Peel)44
4Allen, Mr. William Henry24
\n", + "
" + ], + "text/plain": [ + " Name Name_length\n", + "0 Braund, Mr. Owen Harris 23\n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... 51\n", + "2 Heikkinen, Miss. Laina 22\n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) 44\n", + "4 Allen, Mr. William Henry 24" + ] + }, + "execution_count": 309, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# calculate the length of each string in the 'Name' Series\n", + "train['Name_length'] = train.Name.apply(len)\n", + "train.loc[0:4, ['Name', 'Name_length']]" + ] + }, + { + "cell_type": "code", + "execution_count": 310, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
FareFare_ceil
07.25008.0
171.283372.0
27.92508.0
353.100054.0
48.05009.0
\n", + "
" + ], + "text/plain": [ + " Fare Fare_ceil\n", + "0 7.2500 8.0\n", + "1 71.2833 72.0\n", + "2 7.9250 8.0\n", + "3 53.1000 54.0\n", + "4 8.0500 9.0" + ] + }, + "execution_count": 310, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# round up each element in the 'Fare' Series to the next integer\n", + "import numpy as np\n", + "train['Fare_ceil'] = train.Fare.apply(np.ceil)\n", + "train.loc[0:4, ['Fare', 'Fare_ceil']]" + ] + }, + { + "cell_type": "code", + "execution_count": 311, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 Braund, Mr. Owen Harris\n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th...\n", + "2 Heikkinen, Miss. Laina\n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel)\n", + "4 Allen, Mr. William Henry\n", + "Name: Name, dtype: object" + ] + }, + "execution_count": 311, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# we want to extract the last name of each person\n", + "train.Name.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 312, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 [Braund, Mr. Owen Harris]\n", + "1 [Cumings, Mrs. John Bradley (Florence Briggs ...\n", + "2 [Heikkinen, Miss. Laina]\n", + "3 [Futrelle, Mrs. Jacques Heath (Lily May Peel)]\n", + "4 [Allen, Mr. William Henry]\n", + "Name: Name, dtype: object" + ] + }, + "execution_count": 312, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use a string method to split the 'Name' Series at commas (returns a Series of lists)\n", + "train.Name.str.split(',').head()" + ] + }, + { + "cell_type": "code", + "execution_count": 313, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# define a function that returns an element from a list based on position\n", + "def get_element(my_list, position):\n", + " return my_list[position]" + ] + }, + { + "cell_type": "code", + "execution_count": 314, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 Braund\n", + "1 Cumings\n", + "2 Heikkinen\n", + "3 Futrelle\n", + "4 Allen\n", + "Name: Name, dtype: object" + ] + }, + "execution_count": 314, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# apply the 'get_element' function and pass 'position' as a keyword argument\n", + "train.Name.str.split(',').apply(get_element, position=0).head()" + ] + }, + { + "cell_type": "code", + "execution_count": 315, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 Braund\n", + "1 Cumings\n", + "2 Heikkinen\n", + "3 Futrelle\n", + "4 Allen\n", + "Name: Name, dtype: object" + ] + }, + "execution_count": 315, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# alternatively, use a lambda function\n", + "train.Name.str.split(',').apply(lambda x: x[0]).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Goal:** Apply a function along either axis of a DataFrame\n", + "\n", + "**Method:** [**`apply`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.apply.html) (DataFrame method)" + ] + }, + { + "cell_type": "code", + "execution_count": 316, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa " + ] + }, + "execution_count": 316, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read a dataset of alcohol consumption into a DataFrame\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry')\n", + "drinks.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 317, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
beer_servingsspirit_servingswine_servings
0000
18913254
225014
3245138312
42175745
\n", + "
" + ], + "text/plain": [ + " beer_servings spirit_servings wine_servings\n", + "0 0 0 0\n", + "1 89 132 54\n", + "2 25 0 14\n", + "3 245 138 312\n", + "4 217 57 45" + ] + }, + "execution_count": 317, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# select a subset of the DataFrame to work with\n", + "drinks.loc[:, 'beer_servings':'wine_servings'].head()" + ] + }, + { + "cell_type": "code", + "execution_count": 318, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "beer_servings 376\n", + "spirit_servings 438\n", + "wine_servings 370\n", + "dtype: int64" + ] + }, + "execution_count": 318, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# apply the 'max' function along axis 0 to calculate the maximum value in each column\n", + "drinks.loc[:, 'beer_servings':'wine_servings'].apply(max, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 319, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 0\n", + "1 132\n", + "2 25\n", + "3 312\n", + "4 217\n", + "dtype: int64" + ] + }, + "execution_count": 319, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# apply the 'max' function along axis 1 to calculate the maximum value in each row\n", + "drinks.loc[:, 'beer_servings':'wine_servings'].apply(max, axis=1).head()" + ] + }, + { + "cell_type": "code", + "execution_count": 320, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 beer_servings\n", + "1 spirit_servings\n", + "2 beer_servings\n", + "3 wine_servings\n", + "4 beer_servings\n", + "dtype: object" + ] + }, + "execution_count": 320, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use 'np.argmax' to calculate which column has the maximum value for each row\n", + "drinks.loc[:, 'beer_servings':'wine_servings'].apply(np.argmax, axis=1).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Goal:** Apply a function to every element in a DataFrame\n", + "\n", + "**Method:** [**`applymap`**](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.applymap.html) (DataFrame method)" + ] + }, + { + "cell_type": "code", + "execution_count": 321, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
beer_servingsspirit_servingswine_servings
00.00.00.0
189.0132.054.0
225.00.014.0
3245.0138.0312.0
4217.057.045.0
\n", + "
" + ], + "text/plain": [ + " beer_servings spirit_servings wine_servings\n", + "0 0.0 0.0 0.0\n", + "1 89.0 132.0 54.0\n", + "2 25.0 0.0 14.0\n", + "3 245.0 138.0 312.0\n", + "4 217.0 57.0 45.0" + ] + }, + "execution_count": 321, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# convert every DataFrame element into a float\n", + "drinks.loc[:, 'beer_servings':'wine_servings'].applymap(float).head()" + ] + }, + { + "cell_type": "code", + "execution_count": 322, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0.00.00.00.0Asia
1Albania89.0132.054.04.9Europe
2Algeria25.00.014.00.7Africa
3Andorra245.0138.0312.012.4Europe
4Angola217.057.045.05.9Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0.0 0.0 0.0 \n", + "1 Albania 89.0 132.0 54.0 \n", + "2 Algeria 25.0 0.0 14.0 \n", + "3 Andorra 245.0 138.0 312.0 \n", + "4 Angola 217.0 57.0 45.0 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa " + ] + }, + "execution_count": 322, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# overwrite the existing DataFrame columns\n", + "drinks.loc[:, 'beer_servings':'wine_servings'] = drinks.loc[:, 'beer_servings':'wine_servings'].applymap(float)\n", + "drinks.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Back to top]" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.11" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_changes.ipynb b/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_changes.ipynb new file mode 100644 index 0000000..5d215e4 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_changes.ipynb @@ -0,0 +1,2014 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 5 new changes in pandas you need to know about ([video](https://www.youtube.com/watch?v=te5JrSCW-LY&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=33))\n", + "\n", + "- [My pandas video series (30 videos)](http://www.dataschool.io/easier-data-analysis-with-pandas/)\n", + "- [GitHub repository](https://github.com/justmarkham/pandas-videos)\n", + "- [pandas release notes](http://pandas.pydata.org/pandas-docs/stable/whatsnew.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'0.22.0'" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "pd.__version__" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. `ix` has been deprecated\n", + "\n", + "*New in 0.20.0*" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
beer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
country
Afghanistan0000.0Asia
Albania89132544.9Europe
Algeria250140.7Africa
Andorra24513831212.4Europe
Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " beer_servings spirit_servings wine_servings \\\n", + "country \n", + "Afghanistan 0 0 0 \n", + "Albania 89 132 54 \n", + "Algeria 25 0 14 \n", + "Andorra 245 138 312 \n", + "Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "country \n", + "Afghanistan 0.0 Asia \n", + "Albania 4.9 Europe \n", + "Algeria 0.7 Africa \n", + "Andorra 12.4 Europe \n", + "Angola 5.9 Africa " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read the drinks dataset into a DataFrame\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry', index_col='country')\n", + "drinks.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "57" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# loc accesses by label\n", + "drinks.loc['Angola', 'spirit_servings']" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "57" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# iloc accesses by position\n", + "drinks.iloc[4, 1]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/kevin/miniconda3/envs/pd22.0/lib/python3.5/site-packages/ipykernel_launcher.py:2: DeprecationWarning: \n", + ".ix is deprecated. Please use\n", + ".loc for label based indexing or\n", + ".iloc for positional indexing\n", + "\n", + "See the documentation here:\n", + "http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\n", + " \n" + ] + }, + { + "data": { + "text/plain": [ + "57" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ix accesses by label OR position (newly deprecated)\n", + "drinks.ix['Angola', 1]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "57" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# alternative: use loc\n", + "drinks.loc['Angola', drinks.columns[1]]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "57" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# alternative: use iloc\n", + "drinks.iloc[drinks.index.get_loc('Angola'), 1]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "57" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ix accesses by label OR position (newly deprecated)\n", + "drinks.ix[4, 'spirit_servings']" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "57" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# alternative: use loc\n", + "drinks.loc[drinks.index[4], 'spirit_servings']" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "57" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# alternative: use iloc\n", + "drinks.iloc[4, drinks.columns.get_loc('spirit_servings')]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- [More information](http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated)\n", + "- [Video: How do I select multiple rows and columns from a pandas DataFrame?](https://www.youtube.com/watch?v=xvpNA7bC8cs&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=19)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Aliases have been added for `isnull` and `notnull`\n", + "\n", + "*New in 0.21.0*" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read the UFO dataset into a DataFrame\n", + "ufo = pd.read_csv('http://bit.ly/uforeports')\n", + "ufo.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0FalseTrueFalseFalseFalse
1FalseTrueFalseFalseFalse
2FalseTrueFalseFalseFalse
3FalseTrueFalseFalseFalse
4FalseTrueFalseFalseFalse
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 False True False False False\n", + "1 False True False False False\n", + "2 False True False False False\n", + "3 False True False False False\n", + "4 False True False False False" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check which values are missing\n", + "ufo.isnull().head()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0TrueFalseTrueTrueTrue
1TrueFalseTrueTrueTrue
2TrueFalseTrueTrueTrue
3TrueFalseTrueTrueTrue
4TrueFalseTrueTrueTrue
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 True False True True True\n", + "1 True False True True True\n", + "2 True False True True True\n", + "3 True False True True True\n", + "4 True False True True True" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check which values are not missing\n", + "ufo.notnull().head()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
12BeltonREDSPHERESC6/30/1939 20:00
19Bering SeaREDOTHERAK4/30/1943 23:00
36PortsmouthREDFORMATIONVA7/10/1945 1:30
44BlairsdenGREENSPHERECA6/30/1946 19:00
82San JoseBLUECHEVRONCA7/15/1947 21:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "12 Belton RED SPHERE SC 6/30/1939 20:00\n", + "19 Bering Sea RED OTHER AK 4/30/1943 23:00\n", + "36 Portsmouth RED FORMATION VA 7/10/1945 1:30\n", + "44 Blairsden GREEN SPHERE CA 6/30/1946 19:00\n", + "82 San Jose BLUE CHEVRON CA 7/15/1947 21:00" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# drop rows with missing values\n", + "ufo.dropna().head()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaUNKNOWNTRIANGLENY6/1/1930 22:00
1WillingboroUNKNOWNOTHERNJ6/30/1930 20:00
2HolyokeUNKNOWNOVALCO2/15/1931 14:00
3AbileneUNKNOWNDISKKS6/1/1931 13:00
4New York Worlds FairUNKNOWNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca UNKNOWN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro UNKNOWN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke UNKNOWN OVAL CO 2/15/1931 14:00\n", + "3 Abilene UNKNOWN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair UNKNOWN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# fill in missing values\n", + "ufo.fillna(value='UNKNOWN').head()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0FalseTrueFalseFalseFalse
1FalseTrueFalseFalseFalse
2FalseTrueFalseFalseFalse
3FalseTrueFalseFalseFalse
4FalseTrueFalseFalseFalse
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 False True False False False\n", + "1 False True False False False\n", + "2 False True False False False\n", + "3 False True False False False\n", + "4 False True False False False" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# new alias for isnull\n", + "ufo.isna().head()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0TrueFalseTrueTrueTrue
1TrueFalseTrueTrueTrue
2TrueFalseTrueTrueTrue
3TrueFalseTrueTrueTrue
4TrueFalseTrueTrueTrue
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 True False True True True\n", + "1 True False True True True\n", + "2 True False True True True\n", + "3 True False True True True\n", + "4 True False True True True" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# new alias for notnull\n", + "ufo.notna().head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- [More information](http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#na-naming-changes)\n", + "- [Video: How do I handle missing values in pandas?](https://www.youtube.com/watch?v=fCMrO_VzeL8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=16)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. `drop` now accepts \"index\" and \"columns\" keywords\n", + "\n", + "*New in 0.21.0*" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read the UFO dataset into a DataFrame\n", + "ufo = pd.read_csv('http://bit.ly/uforeports')\n", + "ufo.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00
5Valley CityNaNDISKND9/15/1934 15:30
6Crater LakeNaNCIRCLECA6/15/1935 0:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00\n", + "5 Valley City NaN DISK ND 9/15/1934 15:30\n", + "6 Crater Lake NaN CIRCLE CA 6/15/1935 0:00" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# old way to drop rows: specify labels and axis\n", + "ufo.drop([0, 1], axis=0).head()\n", + "ufo.drop([0, 1], axis='index').head()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00
5Valley CityNaNDISKND9/15/1934 15:30
6Crater LakeNaNCIRCLECA6/15/1935 0:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State Time\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00\n", + "5 Valley City NaN DISK ND 9/15/1934 15:30\n", + "6 Crater Lake NaN CIRCLE CA 6/15/1935 0:00" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# new way to drop rows: specify index\n", + "ufo.drop(index=[0, 1]).head()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Colors ReportedShape ReportedTime
0NaNTRIANGLE6/1/1930 22:00
1NaNOTHER6/30/1930 20:00
2NaNOVAL2/15/1931 14:00
3NaNDISK6/1/1931 13:00
4NaNLIGHT4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " Colors Reported Shape Reported Time\n", + "0 NaN TRIANGLE 6/1/1930 22:00\n", + "1 NaN OTHER 6/30/1930 20:00\n", + "2 NaN OVAL 2/15/1931 14:00\n", + "3 NaN DISK 6/1/1931 13:00\n", + "4 NaN LIGHT 4/18/1933 19:00" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# old way to drop columns: specify labels and axis\n", + "ufo.drop(['City', 'State'], axis=1).head()\n", + "ufo.drop(['City', 'State'], axis='columns').head()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Colors ReportedShape ReportedTime
0NaNTRIANGLE6/1/1930 22:00
1NaNOTHER6/30/1930 20:00
2NaNOVAL2/15/1931 14:00
3NaNDISK6/1/1931 13:00
4NaNLIGHT4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " Colors Reported Shape Reported Time\n", + "0 NaN TRIANGLE 6/1/1930 22:00\n", + "1 NaN OTHER 6/30/1930 20:00\n", + "2 NaN OVAL 2/15/1931 14:00\n", + "3 NaN DISK 6/1/1931 13:00\n", + "4 NaN LIGHT 4/18/1933 19:00" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# new way to drop columns: specify columns\n", + "ufo.drop(columns=['City', 'State']).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- [More information](http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#drop-now-also-accepts-index-columns-keywords)\n", + "- [Video: How do I remove columns from a pandas DataFrame?](https://www.youtube.com/watch?v=gnUKkS964WQ&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=6)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. `rename` and `reindex` now accept \"axis\" keyword\n", + "\n", + "*New in 0.21.0*" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CITYColors ReportedShape ReportedSTATETime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " CITY Colors Reported Shape Reported STATE Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# old way to rename columns: specify columns\n", + "ufo.rename(columns={'City':'CITY', 'State':'STATE'}).head()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CITYColors ReportedShape ReportedSTATETime
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " CITY Colors Reported Shape Reported STATE Time\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# new way to rename columns: specify mapper and axis\n", + "ufo.rename({'City':'CITY', 'State':'STATE'}, axis='columns').head()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CITYCOLORS REPORTEDSHAPE REPORTEDSTATETIME
0IthacaNaNTRIANGLENY6/1/1930 22:00
1WillingboroNaNOTHERNJ6/30/1930 20:00
2HolyokeNaNOVALCO2/15/1931 14:00
3AbileneNaNDISKKS6/1/1931 13:00
4New York Worlds FairNaNLIGHTNY4/18/1933 19:00
\n", + "
" + ], + "text/plain": [ + " CITY COLORS REPORTED SHAPE REPORTED STATE TIME\n", + "0 Ithaca NaN TRIANGLE NY 6/1/1930 22:00\n", + "1 Willingboro NaN OTHER NJ 6/30/1930 20:00\n", + "2 Holyoke NaN OVAL CO 2/15/1931 14:00\n", + "3 Abilene NaN DISK KS 6/1/1931 13:00\n", + "4 New York Worlds Fair NaN LIGHT NY 4/18/1933 19:00" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# note: mapper can be a function\n", + "ufo.rename(str.upper, axis='columns').head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- [More information](http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#rename-reindex-now-also-accept-axis-keyword)\n", + "- [Video: How do I rename columns in a pandas DataFrame?](https://www.youtube.com/watch?v=0uBirYFhizE&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5. Ordered categories must be specified independent of the data\n", + "\n", + "*New in 0.21.0*" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
IDquality
0100good
1101very good
2102good
3103excellent
\n", + "
" + ], + "text/plain": [ + " ID quality\n", + "0 100 good\n", + "1 101 very good\n", + "2 102 good\n", + "3 103 excellent" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create a small DataFrame\n", + "df = pd.DataFrame({'ID':[100, 101, 102, 103],\n", + " 'quality':['good', 'very good', 'good', 'excellent']})\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/kevin/miniconda3/envs/pd22.0/lib/python3.5/site-packages/ipykernel_launcher.py:2: FutureWarning: specifying 'categories' or 'ordered' in .astype() is deprecated; pass a CategoricalDtype instead\n", + " \n" + ] + }, + { + "data": { + "text/plain": [ + "0 good\n", + "1 very good\n", + "2 good\n", + "3 excellent\n", + "Name: quality, dtype: category\n", + "Categories (3, object): [good < very good < excellent]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# old way to create an ordered category (deprecated)\n", + "df.quality.astype('category', categories=['good', 'very good', 'excellent'], ordered=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 good\n", + "1 very good\n", + "2 good\n", + "3 excellent\n", + "Name: quality, dtype: category\n", + "Categories (3, object): [good < very good < excellent]" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# new way to create an ordered category\n", + "from pandas.api.types import CategoricalDtype\n", + "quality_cat = CategoricalDtype(['good', 'very good', 'excellent'], ordered=True)\n", + "df['quality'] = df.quality.astype(quality_cat)\n", + "df.quality" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- [More information](http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0210-enhancements-categorical-dtype)\n", + "- [Video: How do I make my pandas DataFrame smaller and faster?](https://www.youtube.com/watch?v=wDYDYGyN_cw&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=21)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_merge.ipynb b/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_merge.ipynb new file mode 100755 index 0000000..73e03ec --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_merge.ipynb @@ -0,0 +1,1701 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# How do I merge DataFrames in pandas? ([video](https://www.youtube.com/watch?v=iYWKfUOtGaw&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=32))\n", + "\n", + "- [My pandas video series](https://www.dataschool.io/easier-data-analysis-with-pandas/)\n", + "- [GitHub repository](https://github.com/justmarkham/pandas-videos)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Table of contents\n", + "\n", + "1. Selecting a Function\n", + "2. Joining (Merging) DataFrames\n", + "3. What if...?\n", + "4. Four Types of Joins" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Part 1: Selecting a Function" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Taken from [Merging DataFrames with pandas](https://www.datacamp.com/courses/merging-dataframes-with-pandas?tap_a=5644-dce66f&tap_s=280411-a25fc8) (DataCamp course):\n", + "\n", + "- `df1.append(df2)`: stacking vertically\n", + "- `pd.concat([df1, df2])`:\n", + " - stacking many horizontally or vertically\n", + " - simple inner/outer joins on Indexes\n", + "- `df1.join(df2)`: inner/outer/left/right joins on Indexes\n", + "- `pd.merge(df1, df2)`: many joins on multiple columns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Part 2: Joining (Merging) DataFrames" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using the [MovieLens 100k data](http://grouplens.org/datasets/movielens/), let's create two DataFrames:\n", + "\n", + "- **movies**: shows information about movies, namely a unique **movie_id** and its **title**\n", + "- **ratings**: shows the **rating** that a particular **user_id** gave to a particular **movie_id** at a particular **timestamp**" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Movies" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
movie_idtitle
01Toy Story (1995)
12GoldenEye (1995)
23Four Rooms (1995)
34Get Shorty (1995)
45Copycat (1995)
\n", + "
" + ], + "text/plain": [ + " movie_id title\n", + "0 1 Toy Story (1995)\n", + "1 2 GoldenEye (1995)\n", + "2 3 Four Rooms (1995)\n", + "3 4 Get Shorty (1995)\n", + "4 5 Copycat (1995)" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movie_cols = ['movie_id', 'title']\n", + "movies = pd.read_table('data/u.item', sep='|', header=None, names=movie_cols, usecols=[0, 1])\n", + "movies.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1682, 2)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1682" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies.movie_id.nunique()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ratings" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
user_idmovie_idratingtimestamp
01962423881250949
11863023891717742
2223771878887116
3244512880606923
41663461886397596
\n", + "
" + ], + "text/plain": [ + " user_id movie_id rating timestamp\n", + "0 196 242 3 881250949\n", + "1 186 302 3 891717742\n", + "2 22 377 1 878887116\n", + "3 244 51 2 880606923\n", + "4 166 346 1 886397596" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rating_cols = ['user_id', 'movie_id', 'rating', 'timestamp']\n", + "ratings = pd.read_table('data/u.data', sep='\\t', header=None, names=rating_cols)\n", + "ratings.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(100000, 4)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ratings.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1682" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ratings.movie_id.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
user_idmovie_idratingtimestamp
2430814887736532
45428715875334088
95714814877019411
97128014891700426
13246613883601324
\n", + "
" + ], + "text/plain": [ + " user_id movie_id rating timestamp\n", + "24 308 1 4 887736532\n", + "454 287 1 5 875334088\n", + "957 148 1 4 877019411\n", + "971 280 1 4 891700426\n", + "1324 66 1 3 883601324" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ratings.loc[ratings.movie_id == 1, :].head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Merging Movies and Ratings" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's pretend that you want to examine the ratings DataFrame, but you want to know the **title** of each movie rather than its **movie_id**. The best way to accomplish this objective is by \"joining\" (or \"merging\") the DataFrames using the Pandas `merge` function:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['movie_id', 'title'], dtype='object')" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['user_id', 'movie_id', 'rating', 'timestamp'], dtype='object')" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ratings.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['movie_id', 'title', 'user_id', 'rating', 'timestamp'], dtype='object')" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movie_ratings = pd.merge(movies, ratings)\n", + "movie_ratings.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
movie_idtitleuser_idratingtimestamp
01Toy Story (1995)3084887736532
11Toy Story (1995)2875875334088
21Toy Story (1995)1484877019411
31Toy Story (1995)2804891700426
41Toy Story (1995)663883601324
\n", + "
" + ], + "text/plain": [ + " movie_id title user_id rating timestamp\n", + "0 1 Toy Story (1995) 308 4 887736532\n", + "1 1 Toy Story (1995) 287 5 875334088\n", + "2 1 Toy Story (1995) 148 4 877019411\n", + "3 1 Toy Story (1995) 280 4 891700426\n", + "4 1 Toy Story (1995) 66 3 883601324" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movie_ratings.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(100000, 5)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movie_ratings.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here's what just happened:\n", + "\n", + "- Pandas noticed that movies and ratings had one column in common, namely **movie_id**. This is the \"key\" on which the DataFrames will be joined.\n", + "- The first **movie_id** in movies is 1. Thus, Pandas looked through every row in the ratings DataFrame, searching for a movie_id of 1. Every time it found such a row, it recorded the **user_id**, **rating**, and **timestamp** listed in that row. In this case, it found 452 matching rows.\n", + "- The second **movie_id** in movies is 2. Again, Pandas did a search of ratings and found 131 matching rows.\n", + "- This process was repeated for all of the remaining rows in movies.\n", + "\n", + "At the end of the process, the movie_ratings DataFrame is created, which contains the two columns from movies (**movie_id** and **title**) and the three other colums from ratings (**user_id**, **rating**, and **timestamp**).\n", + "\n", + "- **movie_id** 1 and its **title** are listed 452 times, next to the **user_id**, **rating**, and **timestamp** for each of the 452 matching ratings.\n", + "- **movie_id** 2 and its **title** are listed 131 times, next to the **user_id**, **rating**, and **timestamp** for each of the 131 matching ratings.\n", + "- And so on, for every movie in the dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1682, 2)\n", + "(100000, 4)\n", + "(100000, 5)\n" + ] + } + ], + "source": [ + "print(movies.shape)\n", + "print(ratings.shape)\n", + "print(movie_ratings.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Notice the shapes of the three DataFrames:\n", + "\n", + "- There are 1682 rows in the movies DataFrame.\n", + "- There are 100000 rows in the ratings DataFrame.\n", + "- The `merge` function resulted in a movie_ratings DataFrame with 100000 rows, because every row from ratings matched a row from movies.\n", + "- The movie_ratings DataFrame has 5 columns, namely the 2 columns from movies, plus the 4 columns from ratings, minus the 1 column in common.\n", + "\n", + "By default, the `merge` function joins the DataFrames using all column names that are in common (**movie_id**, in this case). The [documentation](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.merge.html) explains how you can override this behavior." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Part 3: What if...?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## What if the columns you want to join on don't have the same name?" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['m_id', 'title'], dtype='object')" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies.columns = ['m_id', 'title']\n", + "movies.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['user_id', 'movie_id', 'rating', 'timestamp'], dtype='object')" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ratings.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
m_idtitleuser_idmovie_idratingtimestamp
01Toy Story (1995)30814887736532
11Toy Story (1995)28715875334088
21Toy Story (1995)14814877019411
31Toy Story (1995)28014891700426
41Toy Story (1995)6613883601324
\n", + "
" + ], + "text/plain": [ + " m_id title user_id movie_id rating timestamp\n", + "0 1 Toy Story (1995) 308 1 4 887736532\n", + "1 1 Toy Story (1995) 287 1 5 875334088\n", + "2 1 Toy Story (1995) 148 1 4 877019411\n", + "3 1 Toy Story (1995) 280 1 4 891700426\n", + "4 1 Toy Story (1995) 66 1 3 883601324" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.merge(movies, ratings, left_on='m_id', right_on='movie_id').head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## What if you want to join on one index?" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
title
m_id
1Toy Story (1995)
2GoldenEye (1995)
3Four Rooms (1995)
4Get Shorty (1995)
5Copycat (1995)
\n", + "
" + ], + "text/plain": [ + " title\n", + "m_id \n", + "1 Toy Story (1995)\n", + "2 GoldenEye (1995)\n", + "3 Four Rooms (1995)\n", + "4 Get Shorty (1995)\n", + "5 Copycat (1995)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies = movies.set_index('m_id')\n", + "movies.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
titleuser_idmovie_idratingtimestamp
24Toy Story (1995)30814887736532
454Toy Story (1995)28715875334088
957Toy Story (1995)14814877019411
971Toy Story (1995)28014891700426
1324Toy Story (1995)6613883601324
\n", + "
" + ], + "text/plain": [ + " title user_id movie_id rating timestamp\n", + "24 Toy Story (1995) 308 1 4 887736532\n", + "454 Toy Story (1995) 287 1 5 875334088\n", + "957 Toy Story (1995) 148 1 4 877019411\n", + "971 Toy Story (1995) 280 1 4 891700426\n", + "1324 Toy Story (1995) 66 1 3 883601324" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.merge(movies, ratings, left_index=True, right_on='movie_id').head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## What if you want to join on two indexes?" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
user_idratingtimestamp
movie_id
2421963881250949
3021863891717742
377221878887116
512442880606923
3461661886397596
\n", + "
" + ], + "text/plain": [ + " user_id rating timestamp\n", + "movie_id \n", + "242 196 3 881250949\n", + "302 186 3 891717742\n", + "377 22 1 878887116\n", + "51 244 2 880606923\n", + "346 166 1 886397596" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ratings = ratings.set_index('movie_id')\n", + "ratings.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
titleuser_idratingtimestamp
1Toy Story (1995)3084887736532
1Toy Story (1995)2875875334088
1Toy Story (1995)1484877019411
1Toy Story (1995)2804891700426
1Toy Story (1995)663883601324
\n", + "
" + ], + "text/plain": [ + " title user_id rating timestamp\n", + "1 Toy Story (1995) 308 4 887736532\n", + "1 Toy Story (1995) 287 5 875334088\n", + "1 Toy Story (1995) 148 4 877019411\n", + "1 Toy Story (1995) 280 4 891700426\n", + "1 Toy Story (1995) 66 3 883601324" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.merge(movies, ratings, left_index=True, right_index=True).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Part 4: Four Types of Joins" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are actually four types of joins supported by the Pandas `merge` function. Here's how they are described by the documentation:\n", + "\n", + "- **inner:** use intersection of keys from both frames, similar to a SQL inner join; preserve the order of the left keys\n", + "- **outer:** use union of keys from both frames, similar to a SQL full outer join; sort keys lexicographically\n", + "- **left:** use only keys from left frame, similar to a SQL left outer join; preserve key order\n", + "- **right:** use only keys from right frame, similar to a SQL right outer join; preserve key order\n", + "\n", + "The default is the \"inner join\", which was used when creating the movie_ratings DataFrame.\n", + "\n", + "It's easiest to understand the different types by looking at some simple examples:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Example DataFrames A and B" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
colornum
0green1
1yellow2
2red3
\n", + "
" + ], + "text/plain": [ + " color num\n", + "0 green 1\n", + "1 yellow 2\n", + "2 red 3" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "A = pd.DataFrame({'color': ['green', 'yellow', 'red'], 'num':[1, 2, 3]})\n", + "A" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
colorsize
0greenS
1yellowM
2pinkL
\n", + "
" + ], + "text/plain": [ + " color size\n", + "0 green S\n", + "1 yellow M\n", + "2 pink L" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "B = pd.DataFrame({'color': ['green', 'yellow', 'pink'], 'size':['S', 'M', 'L']})\n", + "B" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Inner join\n", + "\n", + "Only include observations found in both A and B:" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
colornumsize
0green1S
1yellow2M
\n", + "
" + ], + "text/plain": [ + " color num size\n", + "0 green 1 S\n", + "1 yellow 2 M" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.merge(A, B, how='inner')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Outer join\n", + "\n", + "Include observations found in either A or B:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
colornumsize
0green1.0S
1yellow2.0M
2red3.0NaN
3pinkNaNL
\n", + "
" + ], + "text/plain": [ + " color num size\n", + "0 green 1.0 S\n", + "1 yellow 2.0 M\n", + "2 red 3.0 NaN\n", + "3 pink NaN L" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.merge(A, B, how='outer')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Left join\n", + "\n", + "Include all observations found in A:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
colornumsize
0green1S
1yellow2M
2red3NaN
\n", + "
" + ], + "text/plain": [ + " color num size\n", + "0 green 1 S\n", + "1 yellow 2 M\n", + "2 red 3 NaN" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.merge(A, B, how='left')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Right join\n", + "\n", + "Include all observations found in B:" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
colornumsize
0green1.0S
1yellow2.0M
2pinkNaNL
\n", + "
" + ], + "text/plain": [ + " color num size\n", + "0 green 1.0 S\n", + "1 yellow 2.0 M\n", + "2 pink NaN L" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.merge(A, B, how='right')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_multiindex.ipynb b/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_multiindex.ipynb new file mode 100644 index 0000000..12c64d3 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_multiindex.ipynb @@ -0,0 +1,1822 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# How do I use the MultiIndex in pandas? ([video](https://www.youtube.com/watch?v=tcRGa2soc-c&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=31))\n", + "\n", + "- [My pandas video series](https://www.dataschool.io/easier-data-analysis-with-pandas/)\n", + "- [GitHub repository](https://github.com/justmarkham/pandas-videos)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateCloseVolumeSymbol
02016-10-0331.5014070500CSCO
12016-10-03112.5221701800AAPL
22016-10-0357.4219189500MSFT
32016-10-04113.0029736800AAPL
42016-10-0457.2420085900MSFT
52016-10-0431.3518460400CSCO
62016-10-0557.6416726400MSFT
72016-10-0531.5911808600CSCO
82016-10-05113.0521453100AAPL
\n", + "
" + ], + "text/plain": [ + " Date Close Volume Symbol\n", + "0 2016-10-03 31.50 14070500 CSCO\n", + "1 2016-10-03 112.52 21701800 AAPL\n", + "2 2016-10-03 57.42 19189500 MSFT\n", + "3 2016-10-04 113.00 29736800 AAPL\n", + "4 2016-10-04 57.24 20085900 MSFT\n", + "5 2016-10-04 31.35 18460400 CSCO\n", + "6 2016-10-05 57.64 16726400 MSFT\n", + "7 2016-10-05 31.59 11808600 CSCO\n", + "8 2016-10-05 113.05 21453100 AAPL" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks = pd.read_csv('data/stocks.csv')\n", + "stocks" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "RangeIndex(start=0, stop=9, step=1)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.index" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Symbol\n", + "AAPL 112.856667\n", + "CSCO 31.480000\n", + "MSFT 57.433333\n", + "Name: Close, dtype: float64" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.groupby('Symbol').Close.mean()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Series with MultiIndex" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Symbol Date \n", + "AAPL 2016-10-03 112.52\n", + " 2016-10-04 113.00\n", + " 2016-10-05 113.05\n", + "CSCO 2016-10-03 31.50\n", + " 2016-10-04 31.35\n", + " 2016-10-05 31.59\n", + "MSFT 2016-10-03 57.42\n", + " 2016-10-04 57.24\n", + " 2016-10-05 57.64\n", + "Name: Close, dtype: float64" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ser = stocks.groupby(['Symbol', 'Date']).Close.mean()\n", + "ser" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "MultiIndex(levels=[['AAPL', 'CSCO', 'MSFT'], ['2016-10-03', '2016-10-04', '2016-10-05']],\n", + " codes=[[0, 0, 0, 1, 1, 1, 2, 2, 2], [0, 1, 2, 0, 1, 2, 0, 1, 2]],\n", + " names=['Symbol', 'Date'])" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ser.index" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Date2016-10-032016-10-042016-10-05
Symbol
AAPL112.52113.00113.05
CSCO31.5031.3531.59
MSFT57.4257.2457.64
\n", + "
" + ], + "text/plain": [ + "Date 2016-10-03 2016-10-04 2016-10-05\n", + "Symbol \n", + "AAPL 112.52 113.00 113.05\n", + "CSCO 31.50 31.35 31.59\n", + "MSFT 57.42 57.24 57.64" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ser.unstack()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Date2016-10-032016-10-042016-10-05
Symbol
AAPL112.52113.00113.05
CSCO31.5031.3531.59
MSFT57.4257.2457.64
\n", + "
" + ], + "text/plain": [ + "Date 2016-10-03 2016-10-04 2016-10-05\n", + "Symbol \n", + "AAPL 112.52 113.00 113.05\n", + "CSCO 31.50 31.35 31.59\n", + "MSFT 57.42 57.24 57.64" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = stocks.pivot_table(values='Close', index='Symbol', columns='Date')\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Selection from Series with MultiIndex" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Symbol Date \n", + "AAPL 2016-10-03 112.52\n", + " 2016-10-04 113.00\n", + " 2016-10-05 113.05\n", + "CSCO 2016-10-03 31.50\n", + " 2016-10-04 31.35\n", + " 2016-10-05 31.59\n", + "MSFT 2016-10-03 57.42\n", + " 2016-10-04 57.24\n", + " 2016-10-05 57.64\n", + "Name: Close, dtype: float64" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ser" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Date\n", + "2016-10-03 112.52\n", + "2016-10-04 113.00\n", + "2016-10-05 113.05\n", + "Name: Close, dtype: float64" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ser.loc['AAPL']" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "112.52" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ser.loc['AAPL', '2016-10-03']" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Symbol\n", + "AAPL 112.52\n", + "CSCO 31.50\n", + "MSFT 57.42\n", + "Name: Close, dtype: float64" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ser.loc[:, '2016-10-03']" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Date2016-10-032016-10-042016-10-05
Symbol
AAPL112.52113.00113.05
CSCO31.5031.3531.59
MSFT57.4257.2457.64
\n", + "
" + ], + "text/plain": [ + "Date 2016-10-03 2016-10-04 2016-10-05\n", + "Symbol \n", + "AAPL 112.52 113.00 113.05\n", + "CSCO 31.50 31.35 31.59\n", + "MSFT 57.42 57.24 57.64" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Date\n", + "2016-10-03 112.52\n", + "2016-10-04 113.00\n", + "2016-10-05 113.05\n", + "Name: AAPL, dtype: float64" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.loc['AAPL']" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "112.52" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.loc['AAPL', '2016-10-03']" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Symbol\n", + "AAPL 112.52\n", + "CSCO 31.50\n", + "MSFT 57.42\n", + "Name: 2016-10-03, dtype: float64" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.loc[:, '2016-10-03']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## DataFrame with MultiIndex" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CloseVolume
SymbolDate
CSCO2016-10-0331.5014070500
AAPL2016-10-03112.5221701800
MSFT2016-10-0357.4219189500
AAPL2016-10-04113.0029736800
MSFT2016-10-0457.2420085900
CSCO2016-10-0431.3518460400
MSFT2016-10-0557.6416726400
CSCO2016-10-0531.5911808600
AAPL2016-10-05113.0521453100
\n", + "
" + ], + "text/plain": [ + " Close Volume\n", + "Symbol Date \n", + "CSCO 2016-10-03 31.50 14070500\n", + "AAPL 2016-10-03 112.52 21701800\n", + "MSFT 2016-10-03 57.42 19189500\n", + "AAPL 2016-10-04 113.00 29736800\n", + "MSFT 2016-10-04 57.24 20085900\n", + "CSCO 2016-10-04 31.35 18460400\n", + "MSFT 2016-10-05 57.64 16726400\n", + "CSCO 2016-10-05 31.59 11808600\n", + "AAPL 2016-10-05 113.05 21453100" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.set_index(['Symbol', 'Date'], inplace=True)\n", + "stocks" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "MultiIndex(levels=[['AAPL', 'CSCO', 'MSFT'], ['2016-10-03', '2016-10-04', '2016-10-05']],\n", + " codes=[[1, 0, 2, 0, 2, 1, 2, 1, 0], [0, 0, 0, 1, 1, 1, 2, 2, 2]],\n", + " names=['Symbol', 'Date'])" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.index" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CloseVolume
SymbolDate
AAPL2016-10-03112.5221701800
2016-10-04113.0029736800
2016-10-05113.0521453100
CSCO2016-10-0331.5014070500
2016-10-0431.3518460400
2016-10-0531.5911808600
MSFT2016-10-0357.4219189500
2016-10-0457.2420085900
2016-10-0557.6416726400
\n", + "
" + ], + "text/plain": [ + " Close Volume\n", + "Symbol Date \n", + "AAPL 2016-10-03 112.52 21701800\n", + " 2016-10-04 113.00 29736800\n", + " 2016-10-05 113.05 21453100\n", + "CSCO 2016-10-03 31.50 14070500\n", + " 2016-10-04 31.35 18460400\n", + " 2016-10-05 31.59 11808600\n", + "MSFT 2016-10-03 57.42 19189500\n", + " 2016-10-04 57.24 20085900\n", + " 2016-10-05 57.64 16726400" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.sort_index(inplace=True)\n", + "stocks" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Selection from DataFrame with MultiIndex" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CloseVolume
Date
2016-10-03112.5221701800
2016-10-04113.0029736800
2016-10-05113.0521453100
\n", + "
" + ], + "text/plain": [ + " Close Volume\n", + "Date \n", + "2016-10-03 112.52 21701800\n", + "2016-10-04 113.00 29736800\n", + "2016-10-05 113.05 21453100" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.loc['AAPL']" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Close 112.52\n", + "Volume 21701800.00\n", + "Name: (AAPL, 2016-10-03), dtype: float64" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.loc[('AAPL', '2016-10-03'), :]" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "112.52" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.loc[('AAPL', '2016-10-03'), 'Close']" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CloseVolume
SymbolDate
AAPL2016-10-03112.5221701800
2016-10-04113.0029736800
2016-10-05113.0521453100
MSFT2016-10-0357.4219189500
2016-10-0457.2420085900
2016-10-0557.6416726400
\n", + "
" + ], + "text/plain": [ + " Close Volume\n", + "Symbol Date \n", + "AAPL 2016-10-03 112.52 21701800\n", + " 2016-10-04 113.00 29736800\n", + " 2016-10-05 113.05 21453100\n", + "MSFT 2016-10-03 57.42 19189500\n", + " 2016-10-04 57.24 20085900\n", + " 2016-10-05 57.64 16726400" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.loc[['AAPL', 'MSFT'], :]" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CloseVolume
SymbolDate
AAPL2016-10-03112.5221701800
MSFT2016-10-0357.4219189500
\n", + "
" + ], + "text/plain": [ + " Close Volume\n", + "Symbol Date \n", + "AAPL 2016-10-03 112.52 21701800\n", + "MSFT 2016-10-03 57.42 19189500" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.loc[(['AAPL', 'MSFT'], '2016-10-03'), :]" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Symbol Date \n", + "AAPL 2016-10-03 112.52\n", + "MSFT 2016-10-03 57.42\n", + "Name: Close, dtype: float64" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.loc[(['AAPL', 'MSFT'], '2016-10-03'), 'Close']" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Symbol Date \n", + "AAPL 2016-10-03 112.52\n", + " 2016-10-04 113.00\n", + "Name: Close, dtype: float64" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.loc[('AAPL', ['2016-10-03', '2016-10-04']), 'Close']" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CloseVolume
SymbolDate
AAPL2016-10-03112.5221701800
2016-10-04113.0029736800
CSCO2016-10-0331.5014070500
2016-10-0431.3518460400
MSFT2016-10-0357.4219189500
2016-10-0457.2420085900
\n", + "
" + ], + "text/plain": [ + " Close Volume\n", + "Symbol Date \n", + "AAPL 2016-10-03 112.52 21701800\n", + " 2016-10-04 113.00 29736800\n", + "CSCO 2016-10-03 31.50 14070500\n", + " 2016-10-04 31.35 18460400\n", + "MSFT 2016-10-03 57.42 19189500\n", + " 2016-10-04 57.24 20085900" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.loc[(slice(None), ['2016-10-03', '2016-10-04']), :]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Merging DataFrames with MultiIndexes" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Close
SymbolDate
AAPL2016-10-03112.52
2016-10-04113.00
2016-10-05113.05
CSCO2016-10-0331.50
2016-10-0431.35
2016-10-0531.59
MSFT2016-10-0357.42
2016-10-0457.24
2016-10-0557.64
\n", + "
" + ], + "text/plain": [ + " Close\n", + "Symbol Date \n", + "AAPL 2016-10-03 112.52\n", + " 2016-10-04 113.00\n", + " 2016-10-05 113.05\n", + "CSCO 2016-10-03 31.50\n", + " 2016-10-04 31.35\n", + " 2016-10-05 31.59\n", + "MSFT 2016-10-03 57.42\n", + " 2016-10-04 57.24\n", + " 2016-10-05 57.64" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "close = pd.read_csv('data/stocks.csv', usecols=[0, 1, 3], index_col=['Symbol', 'Date']).sort_index()\n", + "close" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Volume
SymbolDate
AAPL2016-10-0321701800
2016-10-0429736800
2016-10-0521453100
CSCO2016-10-0314070500
2016-10-0418460400
2016-10-0511808600
MSFT2016-10-0319189500
2016-10-0420085900
2016-10-0516726400
\n", + "
" + ], + "text/plain": [ + " Volume\n", + "Symbol Date \n", + "AAPL 2016-10-03 21701800\n", + " 2016-10-04 29736800\n", + " 2016-10-05 21453100\n", + "CSCO 2016-10-03 14070500\n", + " 2016-10-04 18460400\n", + " 2016-10-05 11808600\n", + "MSFT 2016-10-03 19189500\n", + " 2016-10-04 20085900\n", + " 2016-10-05 16726400" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "volume = pd.read_csv('data/stocks.csv', usecols=[0, 2, 3], index_col=['Symbol', 'Date']).sort_index()\n", + "volume" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CloseVolume
SymbolDate
AAPL2016-10-03112.5221701800
2016-10-04113.0029736800
2016-10-05113.0521453100
CSCO2016-10-0331.5014070500
2016-10-0431.3518460400
2016-10-0531.5911808600
MSFT2016-10-0357.4219189500
2016-10-0457.2420085900
2016-10-0557.6416726400
\n", + "
" + ], + "text/plain": [ + " Close Volume\n", + "Symbol Date \n", + "AAPL 2016-10-03 112.52 21701800\n", + " 2016-10-04 113.00 29736800\n", + " 2016-10-05 113.05 21453100\n", + "CSCO 2016-10-03 31.50 14070500\n", + " 2016-10-04 31.35 18460400\n", + " 2016-10-05 31.59 11808600\n", + "MSFT 2016-10-03 57.42 19189500\n", + " 2016-10-04 57.24 20085900\n", + " 2016-10-05 57.64 16726400" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "both = pd.merge(close, volume, left_index=True, right_index=True)\n", + "both" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SymbolDateCloseVolume
0AAPL2016-10-03112.5221701800
1AAPL2016-10-04113.0029736800
2AAPL2016-10-05113.0521453100
3CSCO2016-10-0331.5014070500
4CSCO2016-10-0431.3518460400
5CSCO2016-10-0531.5911808600
6MSFT2016-10-0357.4219189500
7MSFT2016-10-0457.2420085900
8MSFT2016-10-0557.6416726400
\n", + "
" + ], + "text/plain": [ + " Symbol Date Close Volume\n", + "0 AAPL 2016-10-03 112.52 21701800\n", + "1 AAPL 2016-10-04 113.00 29736800\n", + "2 AAPL 2016-10-05 113.05 21453100\n", + "3 CSCO 2016-10-03 31.50 14070500\n", + "4 CSCO 2016-10-04 31.35 18460400\n", + "5 CSCO 2016-10-05 31.59 11808600\n", + "6 MSFT 2016-10-03 57.42 19189500\n", + "7 MSFT 2016-10-04 57.24 20085900\n", + "8 MSFT 2016-10-05 57.64 16726400" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "both.reset_index()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.2" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_plot.ipynb b/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_plot.ipynb new file mode 100644 index 0000000..2fdf585 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_plot.ipynb @@ -0,0 +1,159 @@ +{ + "cells": [ + { + "cell_type": "code", + "id": "initial_id", + "metadata": { + "collapsed": true, + "ExecuteTime": { + "end_time": "2024-07-05T08:41:28.524485Z", + "start_time": "2024-07-05T08:41:28.358649Z" + } + }, + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "drinks_data = pd.read_csv('./data/drinks.csv')\n", + "print(drinks_data)\n", + "print(drinks_data.head(10))\n", + "print(drinks_data.tail(10))\n", + "print(drinks_data.describe())\n", + "drinks_data['total_litres_of_pure_alcohol'].plot()\n", + "plt.show()" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + ".. ... ... ... ... \n", + "188 Venezuela 333 100 3 \n", + "189 Vietnam 111 2 1 \n", + "190 Yemen 6 0 0 \n", + "191 Zambia 32 19 4 \n", + "192 Zimbabwe 64 18 4 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa \n", + ".. ... ... \n", + "188 7.7 South America \n", + "189 2.0 Asia \n", + "190 0.1 Asia \n", + "191 2.5 Africa \n", + "192 4.7 Africa \n", + "\n", + "[193 rows x 6 columns]\n", + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "5 Antigua & Barbuda 102 128 45 \n", + "6 Argentina 193 25 221 \n", + "7 Armenia 21 179 11 \n", + "8 Australia 261 72 212 \n", + "9 Austria 279 75 191 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa \n", + "5 4.9 North America \n", + "6 8.3 South America \n", + "7 3.8 Europe \n", + "8 10.4 Oceania \n", + "9 9.7 Europe \n", + " country beer_servings spirit_servings wine_servings \\\n", + "183 Tanzania 36 6 1 \n", + "184 USA 249 158 84 \n", + "185 Uruguay 115 35 220 \n", + "186 Uzbekistan 25 101 8 \n", + "187 Vanuatu 21 18 11 \n", + "188 Venezuela 333 100 3 \n", + "189 Vietnam 111 2 1 \n", + "190 Yemen 6 0 0 \n", + "191 Zambia 32 19 4 \n", + "192 Zimbabwe 64 18 4 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "183 5.7 Africa \n", + "184 8.7 North America \n", + "185 6.6 South America \n", + "186 2.4 Asia \n", + "187 0.9 Oceania \n", + "188 7.7 South America \n", + "189 2.0 Asia \n", + "190 0.1 Asia \n", + "191 2.5 Africa \n", + "192 4.7 Africa \n", + " beer_servings spirit_servings wine_servings \\\n", + "count 193.000000 193.000000 193.000000 \n", + "mean 106.160622 80.994819 49.450777 \n", + "std 101.143103 88.284312 79.697598 \n", + "min 0.000000 0.000000 0.000000 \n", + "25% 20.000000 4.000000 1.000000 \n", + "50% 76.000000 56.000000 8.000000 \n", + "75% 188.000000 128.000000 59.000000 \n", + "max 376.000000 438.000000 370.000000 \n", + "\n", + " total_litres_of_pure_alcohol \n", + "count 193.000000 \n", + "mean 4.717098 \n", + "std 3.773298 \n", + "min 0.000000 \n", + "25% 1.300000 \n", + "50% 4.200000 \n", + "75% 7.200000 \n", + "max 14.400000 \n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ], + "image/png": "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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 6 + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_tricks.ipynb b/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_tricks.ipynb new file mode 100755 index 0000000..9a1cbc9 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/pandas_tricks.ipynb @@ -0,0 +1,963 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 4 new time-saving tricks in pandas ([video](https://www.youtube.com/watch?v=-NbY7E9hKxk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=32))\n", + "\n", + "- [My pandas video series (30 videos)](http://www.dataschool.io/easier-data-analysis-with-pandas/)\n", + "- [GitHub repository](https://github.com/justmarkham/pandas-videos)\n", + "- [pandas release notes](http://pandas.pydata.org/pandas-docs/stable/whatsnew.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'0.22.0'" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "pd.__version__" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Create a datetime column from a DataFrame\n", + "\n", + "*New in 0.18.1*" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
monthdayyearhour
01225201710
1115201811
\n", + "
" + ], + "text/plain": [ + " month day year hour\n", + "0 12 25 2017 10\n", + "1 1 15 2018 11" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# create an example DataFrame\n", + "df = pd.DataFrame([[12, 25, 2017, 10], [1, 15, 2018, 11]],\n", + " columns=['month', 'day', 'year', 'hour'])\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 2017-12-25 10:00:00\n", + "1 2018-01-15 11:00:00\n", + "dtype: datetime64[ns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# new: create a datetime column from the entire DataFrame\n", + "pd.to_datetime(df)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 2017-12-25\n", + "1 2018-01-15\n", + "dtype: datetime64[ns]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# new: create a datetime column from a subset of columns\n", + "pd.to_datetime(df[['month', 'day', 'year']])" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
monthdayyearhour
2017-12-251225201710
2018-01-15115201811
\n", + "
" + ], + "text/plain": [ + " month day year hour\n", + "2017-12-25 12 25 2017 10\n", + "2018-01-15 1 15 2018 11" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# overwrite the index\n", + "df.index = pd.to_datetime(df[['month', 'day', 'year']])\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- [More information](http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#assembling-datetimes)\n", + "- [Video: How do I work with dates and times in pandas?](https://www.youtube.com/watch?v=yCgJGsg0Xa4&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=25)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Create a category column during file reading\n", + "\n", + "*New in 0.19.0*" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read the drinks dataset into a DataFrame\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry')\n", + "drinks.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "country object\n", + "beer_servings int64\n", + "spirit_servings int64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "continent object\n", + "dtype: object" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# data types are automatically detected\n", + "drinks.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "country object\n", + "beer_servings int64\n", + "spirit_servings int64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "continent category\n", + "dtype: object" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# old way to create a category (after file reading)\n", + "drinks['continent'] = drinks.continent.astype('category')\n", + "drinks.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "country object\n", + "beer_servings int64\n", + "spirit_servings int64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "continent category\n", + "dtype: object" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# new way to create a category (during file reading)\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry', dtype={'continent':'category'})\n", + "drinks.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- [More information](http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#read-csv-supports-parsing-categorical-directly)\n", + "- [Video: How do I make my pandas DataFrame smaller and faster?](https://www.youtube.com/watch?v=wDYDYGyN_cw&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=21)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Convert the data type of multiple columns at once\n", + "\n", + "*New in 0.19.0*" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "country object\n", + "beer_servings int64\n", + "spirit_servings int64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "continent object\n", + "dtype: object" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read the drinks dataset into a DataFrame\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry')\n", + "drinks.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "country object\n", + "beer_servings float64\n", + "spirit_servings float64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "continent object\n", + "dtype: object" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# old way to convert data types (one at a time)\n", + "drinks['beer_servings'] = drinks.beer_servings.astype('float')\n", + "drinks['spirit_servings'] = drinks.spirit_servings.astype('float')\n", + "drinks.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "country object\n", + "beer_servings float64\n", + "spirit_servings float64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "continent object\n", + "dtype: object" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# new way to convert data types (all at once)\n", + "drinks = pd.read_csv('http://bit.ly/drinksbycountry')\n", + "drinks = drinks.astype({'beer_servings':'float', 'spirit_servings':'float'})\n", + "drinks.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- [More information](http://pandas.pydata.org/pandas-docs/stable/basics.html#astype)\n", + "- [Video: How do I change the data type of a pandas Series?](https://www.youtube.com/watch?v=V0AWyzVMf54&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=13)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Apply multiple aggregations on a Series or DataFrame\n", + "\n", + "*New in 0.20.0*" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "continent\n", + "Africa 61.471698\n", + "Asia 37.045455\n", + "Europe 193.777778\n", + "North America 145.434783\n", + "Oceania 89.687500\n", + "South America 175.083333\n", + "Name: beer_servings, dtype: float64" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# example of a single aggregation function after a groupby\n", + "drinks.groupby('continent').beer_servings.mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meanminmax
continent
Africa61.4716980.0376.0
Asia37.0454550.0247.0
Europe193.7777780.0361.0
North America145.4347831.0285.0
Oceania89.6875000.0306.0
South America175.08333393.0333.0
\n", + "
" + ], + "text/plain": [ + " mean min max\n", + "continent \n", + "Africa 61.471698 0.0 376.0\n", + "Asia 37.045455 0.0 247.0\n", + "Europe 193.777778 0.0 361.0\n", + "North America 145.434783 1.0 285.0\n", + "Oceania 89.687500 0.0 306.0\n", + "South America 175.083333 93.0 333.0" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# multiple aggregation functions can be applied simultaneously\n", + "drinks.groupby('continent').beer_servings.agg(['mean', 'min', 'max'])" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "mean 106.160622\n", + "min 0.000000\n", + "max 376.000000\n", + "Name: beer_servings, dtype: float64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# new: apply the same aggregations to a Series\n", + "drinks.beer_servings.agg(['mean', 'min', 'max'])" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
maxZimbabwe376.000000438.000000370.00000014.400000South America
meanNaN106.16062280.99481949.4507774.717098NaN
minAfghanistan0.0000000.0000000.0000000.000000Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "max Zimbabwe 376.000000 438.000000 370.000000 \n", + "mean NaN 106.160622 80.994819 49.450777 \n", + "min Afghanistan 0.000000 0.000000 0.000000 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "max 14.400000 South America \n", + "mean 4.717098 NaN \n", + "min 0.000000 Africa " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# new: apply the same aggregations to a DataFrame\n", + "drinks.agg(['mean', 'min', 'max'])" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
beer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcohol
count193.000000193.000000193.000000193.000000
mean106.16062280.99481949.4507774.717098
std101.14310388.28431279.6975983.773298
min0.0000000.0000000.0000000.000000
25%20.0000004.0000001.0000001.300000
50%76.00000056.0000008.0000004.200000
75%188.000000128.00000059.0000007.200000
max376.000000438.000000370.00000014.400000
\n", + "
" + ], + "text/plain": [ + " beer_servings spirit_servings wine_servings \\\n", + "count 193.000000 193.000000 193.000000 \n", + "mean 106.160622 80.994819 49.450777 \n", + "std 101.143103 88.284312 79.697598 \n", + "min 0.000000 0.000000 0.000000 \n", + "25% 20.000000 4.000000 1.000000 \n", + "50% 76.000000 56.000000 8.000000 \n", + "75% 188.000000 128.000000 59.000000 \n", + "max 376.000000 438.000000 370.000000 \n", + "\n", + " total_litres_of_pure_alcohol \n", + "count 193.000000 \n", + "mean 4.717098 \n", + "std 3.773298 \n", + "min 0.000000 \n", + "25% 1.300000 \n", + "50% 4.200000 \n", + "75% 7.200000 \n", + "max 14.400000 " + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# DataFrame describe method provides similar functionality but is less flexible\n", + "drinks.describe()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- [More information](http://pandas.pydata.org/pandas-docs/stable/basics.html#basics-aggregate)\n", + "- [Video: When should I use a \"groupby\" in pandas?](https://www.youtube.com/watch?v=qy0fDqoMJx8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=14)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Bonus: Download the official pandas cheat sheet\n", + "\n", + "*New in 0.19.2*\n", + "\n", + "[Cheat sheet (PDF)](https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/pandas/top_25_pandas_tricks.ipynb b/appkits/qpyapp/src/qpynotes/topics/pandas/top_25_pandas_tricks.ipynb new file mode 100644 index 0000000..ce93da6 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pandas/top_25_pandas_tricks.ipynb @@ -0,0 +1,11564 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Data School: My top 25 pandas tricks ([video](https://www.youtube.com/watch?v=RlIiVeig3hc&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=35))\n", + "\n", + "**See also:** \"21 more pandas tricks\" [video](https://www.youtube.com/watch?v=tWFQqaRtSQA&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=36) and [notebook](https://nbviewer.org/github/justmarkham/pandas-videos/blob/master/21_more_pandas_tricks.ipynb)\n", + "\n", + "- Watch the [complete pandas video series](https://www.dataschool.io/easier-data-analysis-with-pandas/)\n", + "- Connect on [Twitter](https://twitter.com/justmarkham), [Facebook](https://www.facebook.com/DataScienceSchool/), and [LinkedIn](https://www.linkedin.com/in/justmarkham/)\n", + "- Subscribe on [YouTube](https://www.youtube.com/dataschool?sub_confirmation=1)\n", + "- Join the [email newsletter](https://www.dataschool.io/subscribe/)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Table of contents\n", + "\n", + "1. Show installed versions\n", + "2. Create an example DataFrame\n", + "3. Rename columns\n", + "4. Reverse row order\n", + "5. Reverse column order\n", + "6. Select columns by data type\n", + "7. Convert strings to numbers\n", + "8. Reduce DataFrame size\n", + "9. Build a DataFrame from multiple files (row-wise)\n", + "10. Build a DataFrame from multiple files (column-wise)\n", + "11. Create a DataFrame from the clipboard\n", + "12. Split a DataFrame into two random subsets\n", + "13. Filter a DataFrame by multiple categories\n", + "14. Filter a DataFrame by largest categories\n", + "15. Handle missing values\n", + "16. Split a string into multiple columns\n", + "17. Expand a Series of lists into a DataFrame\n", + "18. Aggregate by multiple functions\n", + "19. Combine the output of an aggregation with a DataFrame\n", + "20. Select a slice of rows and columns\n", + "21. Reshape a MultiIndexed Series\n", + "22. Create a pivot table\n", + "23. Convert continuous data into categorical data\n", + "24. Change display options\n", + "25. Style a DataFrame\n", + "26. Bonus trick: Profile a DataFrame" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load example datasets" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "drinks = pd.read_csv('http://bit.ly/drinksbycountry')\n", + "movies = pd.read_csv('http://bit.ly/imdbratings')\n", + "orders = pd.read_csv('http://bit.ly/chiporders', sep='\\t')\n", + "orders['item_price'] = orders.item_price.str.replace('$', '').astype('float')\n", + "stocks = pd.read_csv('http://bit.ly/smallstocks', parse_dates=['Date'])\n", + "titanic = pd.read_csv('http://bit.ly/kaggletrain')\n", + "ufo = pd.read_csv('http://bit.ly/uforeports', parse_dates=['Time'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Show installed versions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Sometimes you need to know the pandas version you're using, especially when reading the pandas documentation. You can show the pandas version by typing:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'0.24.2'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.__version__" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "But if you also need to know the versions of pandas' dependencies, you can use the `show_versions()` function:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "INSTALLED VERSIONS\n", + "------------------\n", + "commit: None\n", + "python: 3.7.3.final.0\n", + "python-bits: 64\n", + "OS: Darwin\n", + "OS-release: 18.6.0\n", + "machine: x86_64\n", + "processor: i386\n", + "byteorder: little\n", + "LC_ALL: None\n", + "LANG: en_US.UTF-8\n", + "LOCALE: en_US.UTF-8\n", + "\n", + "pandas: 0.24.2\n", + "pytest: None\n", + "pip: 19.1.1\n", + "setuptools: 41.0.1\n", + "Cython: None\n", + "numpy: 1.16.4\n", + "scipy: None\n", + "pyarrow: None\n", + "xarray: None\n", + "IPython: 7.5.0\n", + "sphinx: None\n", + "patsy: None\n", + "dateutil: 2.8.0\n", + "pytz: 2019.1\n", + "blosc: None\n", + "bottleneck: None\n", + "tables: None\n", + "numexpr: None\n", + "feather: None\n", + "matplotlib: 3.1.0\n", + "openpyxl: None\n", + "xlrd: None\n", + "xlwt: None\n", + "xlsxwriter: None\n", + "lxml.etree: None\n", + "bs4: None\n", + "html5lib: None\n", + "sqlalchemy: None\n", + "pymysql: None\n", + "psycopg2: None\n", + "jinja2: 2.10.1\n", + "s3fs: None\n", + "fastparquet: None\n", + "pandas_gbq: None\n", + "pandas_datareader: None\n", + "gcsfs: None\n" + ] + } + ], + "source": [ + "pd.show_versions()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can see the versions of Python, pandas, NumPy, matplotlib, and more." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Create an example DataFrame" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's say that you want to demonstrate some pandas code. You need an example DataFrame to work with.\n", + "\n", + "There are many ways to do this, but my favorite way is to pass a dictionary to the DataFrame constructor, in which the dictionary keys are the column names and the dictionary values are lists of column values:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
col onecol two
0100300
1200400
\n", + "
" + ], + "text/plain": [ + " col one col two\n", + "0 100 300\n", + "1 200 400" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.DataFrame({'col one':[100, 200], 'col two':[300, 400]})\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now if you need a much larger DataFrame, the above method will require way too much typing. In that case, you can use NumPy's `random.rand()` function, tell it the number of rows and columns, and pass that to the DataFrame constructor:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
01234567
00.7650500.6724380.6585160.5152310.3145630.7596570.8388040.154178
10.5267860.2588710.0325770.6352550.0083150.8277650.5743180.781200
20.1140550.7951560.1442480.1617380.6248360.2232520.4922550.274132
30.0140800.0973080.4226320.0989520.4710070.3075620.5030400.317663
\n", + "
" + ], + "text/plain": [ + " 0 1 2 3 4 5 6 \\\n", + "0 0.765050 0.672438 0.658516 0.515231 0.314563 0.759657 0.838804 \n", + "1 0.526786 0.258871 0.032577 0.635255 0.008315 0.827765 0.574318 \n", + "2 0.114055 0.795156 0.144248 0.161738 0.624836 0.223252 0.492255 \n", + "3 0.014080 0.097308 0.422632 0.098952 0.471007 0.307562 0.503040 \n", + "\n", + " 7 \n", + "0 0.154178 \n", + "1 0.781200 \n", + "2 0.274132 \n", + "3 0.317663 " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.DataFrame(np.random.rand(4, 8))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "That's pretty good, but if you also want non-numeric column names, you can coerce a string of letters to a list and then pass that list to the columns parameter:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
abcdefgh
00.9291560.6656030.9348040.4983390.5981480.7172800.3044520.311813
10.3087360.4183610.7582430.7335210.1452160.8229320.3696320.470175
20.9646710.4391960.3775380.5476040.1381130.7899900.6153330.540587
30.1080640.8341340.3670980.1320730.6087100.7836280.3475940.836521
\n", + "
" + ], + "text/plain": [ + " a b c d e f g \\\n", + "0 0.929156 0.665603 0.934804 0.498339 0.598148 0.717280 0.304452 \n", + "1 0.308736 0.418361 0.758243 0.733521 0.145216 0.822932 0.369632 \n", + "2 0.964671 0.439196 0.377538 0.547604 0.138113 0.789990 0.615333 \n", + "3 0.108064 0.834134 0.367098 0.132073 0.608710 0.783628 0.347594 \n", + "\n", + " h \n", + "0 0.311813 \n", + "1 0.470175 \n", + "2 0.540587 \n", + "3 0.836521 " + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.DataFrame(np.random.rand(4, 8), columns=list('abcdefgh'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As you might guess, your string will need to have the same number of characters as there are columns." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Rename columns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's take a look at the example DataFrame we created in the last trick:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
col onecol two
0100300
1200400
\n", + "
" + ], + "text/plain": [ + " col one col two\n", + "0 100 300\n", + "1 200 400" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "I prefer to use dot notation to select pandas columns, but that won't work since the column names have spaces. Let's fix this.\n", + "\n", + "The most flexible method for renaming columns is the `rename()` method. You pass it a dictionary in which the keys are the old names and the values are the new names, and you also specify the axis:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "df = df.rename({'col one':'col_one', 'col two':'col_two'}, axis='columns')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The best thing about this method is that you can use it to rename any number of columns, whether it be just one column or all columns.\n", + "\n", + "Now if you're going to rename all of the columns at once, a simpler method is just to overwrite the columns attribute of the DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "df.columns = ['col_one', 'col_two']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now if the only thing you're doing is replacing spaces with underscores, an even better method is to use the `str.replace()` method, since you don't have to type out all of the column names:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "df.columns = df.columns.str.replace(' ', '_')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "All three of these methods have the same result, which is to rename the columns so that they don't have any spaces:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
col_onecol_two
0100300
1200400
\n", + "
" + ], + "text/plain": [ + " col_one col_two\n", + "0 100 300\n", + "1 200 400" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, if you just need to add a prefix or suffix to all of your column names, you can use the `add_prefix()` method..." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
X_col_oneX_col_two
0100300
1200400
\n", + "
" + ], + "text/plain": [ + " X_col_one X_col_two\n", + "0 100 300\n", + "1 200 400" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.add_prefix('X_')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "...or the `add_suffix()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
col_one_Ycol_two_Y
0100300
1200400
\n", + "
" + ], + "text/plain": [ + " col_one_Y col_two_Y\n", + "0 100 300\n", + "1 200 400" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.add_suffix('_Y')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Reverse row order" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's take a look at the drinks DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drinks.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is a dataset of average alcohol consumption by country. What if you wanted to reverse the order of the rows?\n", + "\n", + "The most straightforward method is to use the `loc` accessor and pass it `::-1`, which is the same slicing notation used to reverse a Python list:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
192Zimbabwe641844.7Africa
191Zambia321942.5Africa
190Yemen6000.1Asia
189Vietnam111212.0Asia
188Venezuela33310037.7South America
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "192 Zimbabwe 64 18 4 \n", + "191 Zambia 32 19 4 \n", + "190 Yemen 6 0 0 \n", + "189 Vietnam 111 2 1 \n", + "188 Venezuela 333 100 3 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "192 4.7 Africa \n", + "191 2.5 Africa \n", + "190 0.1 Asia \n", + "189 2.0 Asia \n", + "188 7.7 South America " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drinks.loc[::-1].head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What if you also wanted to reset the index so that it starts at zero?\n", + "\n", + "You would use the `reset_index()` method and tell it to drop the old index entirely:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Zimbabwe641844.7Africa
1Zambia321942.5Africa
2Yemen6000.1Asia
3Vietnam111212.0Asia
4Venezuela33310037.7South America
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Zimbabwe 64 18 4 \n", + "1 Zambia 32 19 4 \n", + "2 Yemen 6 0 0 \n", + "3 Vietnam 111 2 1 \n", + "4 Venezuela 333 100 3 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 4.7 Africa \n", + "1 2.5 Africa \n", + "2 0.1 Asia \n", + "3 2.0 Asia \n", + "4 7.7 South America " + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drinks.loc[::-1].reset_index(drop=True).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As you can see, the rows are in reverse order but the index has been reset to the default integer index." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5. Reverse column order" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Similar to the previous trick, you can also use `loc` to reverse the left-to-right order of your columns:" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
continenttotal_litres_of_pure_alcoholwine_servingsspirit_servingsbeer_servingscountry
0Asia0.0000Afghanistan
1Europe4.95413289Albania
2Africa0.714025Algeria
3Europe12.4312138245Andorra
4Africa5.94557217Angola
\n", + "
" + ], + "text/plain": [ + " continent total_litres_of_pure_alcohol wine_servings spirit_servings \\\n", + "0 Asia 0.0 0 0 \n", + "1 Europe 4.9 54 132 \n", + "2 Africa 0.7 14 0 \n", + "3 Europe 12.4 312 138 \n", + "4 Africa 5.9 45 57 \n", + "\n", + " beer_servings country \n", + "0 0 Afghanistan \n", + "1 89 Albania \n", + "2 25 Algeria \n", + "3 245 Andorra \n", + "4 217 Angola " + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drinks.loc[:, ::-1].head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The colon before the comma means \"select all rows\", and the `::-1` after the comma means \"reverse the columns\", which is why \"country\" is now on the right side." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6. Select columns by data type" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here are the data types of the drinks DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "country object\n", + "beer_servings int64\n", + "spirit_servings int64\n", + "wine_servings int64\n", + "total_litres_of_pure_alcohol float64\n", + "continent object\n", + "dtype: object" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drinks.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's say you need to select only the numeric columns. You can use the `select_dtypes()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
beer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcohol
00000.0
189132544.9
2250140.7
324513831212.4
421757455.9
\n", + "
" + ], + "text/plain": [ + " beer_servings spirit_servings wine_servings total_litres_of_pure_alcohol\n", + "0 0 0 0 0.0\n", + "1 89 132 54 4.9\n", + "2 25 0 14 0.7\n", + "3 245 138 312 12.4\n", + "4 217 57 45 5.9" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drinks.select_dtypes(include='number').head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This includes both int and float columns.\n", + "\n", + "You could also use this method to select just the object columns:" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrycontinent
0AfghanistanAsia
1AlbaniaEurope
2AlgeriaAfrica
3AndorraEurope
4AngolaAfrica
\n", + "
" + ], + "text/plain": [ + " country continent\n", + "0 Afghanistan Asia\n", + "1 Albania Europe\n", + "2 Algeria Africa\n", + "3 Andorra Europe\n", + "4 Angola Africa" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drinks.select_dtypes(include='object').head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can tell it to include multiple data types by passing a list:" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa " + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drinks.select_dtypes(include=['number', 'object', 'category', 'datetime']).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can also tell it to exclude certain data types:" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrycontinent
0AfghanistanAsia
1AlbaniaEurope
2AlgeriaAfrica
3AndorraEurope
4AngolaAfrica
\n", + "
" + ], + "text/plain": [ + " country continent\n", + "0 Afghanistan Asia\n", + "1 Albania Europe\n", + "2 Algeria Africa\n", + "3 Andorra Europe\n", + "4 Angola Africa" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drinks.select_dtypes(exclude='number').head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 7. Convert strings to numbers" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's create another example DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
col_onecol_twocol_three
01.14.47.7
12.25.58.8
23.36.6-
\n", + "
" + ], + "text/plain": [ + " col_one col_two col_three\n", + "0 1.1 4.4 7.7\n", + "1 2.2 5.5 8.8\n", + "2 3.3 6.6 -" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.DataFrame({'col_one':['1.1', '2.2', '3.3'],\n", + " 'col_two':['4.4', '5.5', '6.6'],\n", + " 'col_three':['7.7', '8.8', '-']})\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These numbers are actually stored as strings, which results in object columns:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "col_one object\n", + "col_two object\n", + "col_three object\n", + "dtype: object" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In order to do mathematical operations on these columns, we need to convert the data types to numeric. You can use the `astype()` method on the first two columns:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "col_one float64\n", + "col_two float64\n", + "col_three object\n", + "dtype: object" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.astype({'col_one':'float', 'col_two':'float'}).dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "However, this would have resulted in an error if you tried to use it on the third column, because that column contains a dash to represent zero and pandas doesn't understand how to handle it.\n", + "\n", + "Instead, you can use the `to_numeric()` function on the third column and tell it to convert any invalid input into `NaN` values:" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 7.7\n", + "1 8.8\n", + "2 NaN\n", + "Name: col_three, dtype: float64" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.to_numeric(df.col_three, errors='coerce')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you know that the `NaN` values actually represent zeros, you can fill them with zeros using the `fillna()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 7.7\n", + "1 8.8\n", + "2 0.0\n", + "Name: col_three, dtype: float64" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.to_numeric(df.col_three, errors='coerce').fillna(0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, you can apply this function to the entire DataFrame all at once by using the `apply()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
col_onecol_twocol_three
01.14.47.7
12.25.58.8
23.36.60.0
\n", + "
" + ], + "text/plain": [ + " col_one col_two col_three\n", + "0 1.1 4.4 7.7\n", + "1 2.2 5.5 8.8\n", + "2 3.3 6.6 0.0" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = df.apply(pd.to_numeric, errors='coerce').fillna(0)\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This one line of code accomplishes our goal, because all of the data types have now been converted to float:" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "col_one float64\n", + "col_two float64\n", + "col_three float64\n", + "dtype: object" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 8. Reduce DataFrame size" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "pandas DataFrames are designed to fit into memory, and so sometimes you need to reduce the DataFrame size in order to work with it on your system.\n", + "\n", + "Here's the size of the drinks DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 193 entries, 0 to 192\n", + "Data columns (total 6 columns):\n", + "country 193 non-null object\n", + "beer_servings 193 non-null int64\n", + "spirit_servings 193 non-null int64\n", + "wine_servings 193 non-null int64\n", + "total_litres_of_pure_alcohol 193 non-null float64\n", + "continent 193 non-null object\n", + "dtypes: float64(1), int64(3), object(2)\n", + "memory usage: 30.4 KB\n" + ] + } + ], + "source": [ + "drinks.info(memory_usage='deep')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can see that it currently uses 30.4 KB.\n", + "\n", + "If you're having performance problems with your DataFrame, or you can't even read it into memory, there are two easy steps you can take during the file reading process to reduce the DataFrame size.\n", + "\n", + "The first step is to only read in the columns that you actually need, which we specify with the \"usecols\" parameter:" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 193 entries, 0 to 192\n", + "Data columns (total 2 columns):\n", + "beer_servings 193 non-null int64\n", + "continent 193 non-null object\n", + "dtypes: int64(1), object(1)\n", + "memory usage: 13.6 KB\n" + ] + } + ], + "source": [ + "cols = ['beer_servings', 'continent']\n", + "small_drinks = pd.read_csv('http://bit.ly/drinksbycountry', usecols=cols)\n", + "small_drinks.info(memory_usage='deep')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "By only reading in these two columns, we've reduced the DataFrame size to 13.6 KB.\n", + "\n", + "The second step is to convert any object columns containing categorical data to the category data type, which we specify with the \"dtype\" parameter:" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 193 entries, 0 to 192\n", + "Data columns (total 2 columns):\n", + "beer_servings 193 non-null int64\n", + "continent 193 non-null category\n", + "dtypes: category(1), int64(1)\n", + "memory usage: 2.3 KB\n" + ] + } + ], + "source": [ + "dtypes = {'continent':'category'}\n", + "smaller_drinks = pd.read_csv('http://bit.ly/drinksbycountry', usecols=cols, dtype=dtypes)\n", + "smaller_drinks.info(memory_usage='deep')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "By reading in the continent column as the category data type, we've further reduced the DataFrame size to 2.3 KB.\n", + "\n", + "Keep in mind that the category data type will only reduce memory usage if you have a small number of categories relative to the number of rows." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 9. Build a DataFrame from multiple files (row-wise)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's say that your dataset is spread across multiple files, but you want to read the dataset into a single DataFrame.\n", + "\n", + "For example, I have a small dataset of stock data in which each CSV file only includes a single day. Here's the first day:" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateCloseVolumeSymbol
02016-10-0331.5014070500CSCO
12016-10-03112.5221701800AAPL
22016-10-0357.4219189500MSFT
\n", + "
" + ], + "text/plain": [ + " Date Close Volume Symbol\n", + "0 2016-10-03 31.50 14070500 CSCO\n", + "1 2016-10-03 112.52 21701800 AAPL\n", + "2 2016-10-03 57.42 19189500 MSFT" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.read_csv('data/stocks1.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here's the second day:" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateCloseVolumeSymbol
02016-10-04113.0029736800AAPL
12016-10-0457.2420085900MSFT
22016-10-0431.3518460400CSCO
\n", + "
" + ], + "text/plain": [ + " Date Close Volume Symbol\n", + "0 2016-10-04 113.00 29736800 AAPL\n", + "1 2016-10-04 57.24 20085900 MSFT\n", + "2 2016-10-04 31.35 18460400 CSCO" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.read_csv('data/stocks2.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And here's the third day:" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateCloseVolumeSymbol
02016-10-0557.6416726400MSFT
12016-10-0531.5911808600CSCO
22016-10-05113.0521453100AAPL
\n", + "
" + ], + "text/plain": [ + " Date Close Volume Symbol\n", + "0 2016-10-05 57.64 16726400 MSFT\n", + "1 2016-10-05 31.59 11808600 CSCO\n", + "2 2016-10-05 113.05 21453100 AAPL" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.read_csv('data/stocks3.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You could read each CSV file into its own DataFrame, combine them together, and then delete the original DataFrames, but that would be memory inefficient and require a lot of code.\n", + "\n", + "A better solution is to use the built-in glob module:" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "from glob import glob" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can pass a pattern to `glob()`, including wildcard characters, and it will return a list of all files that match that pattern.\n", + "\n", + "In this case, glob is looking in the \"data\" subdirectory for all CSV files that start with the word \"stocks\":" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['data/stocks1.csv', 'data/stocks2.csv', 'data/stocks3.csv']" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stock_files = sorted(glob('data/stocks*.csv'))\n", + "stock_files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "glob returns filenames in an arbitrary order, which is why we sorted the list using Python's built-in `sorted()` function.\n", + "\n", + "We can then use a generator expression to read each of the files using `read_csv()` and pass the results to the `concat()` function, which will concatenate the rows into a single DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateCloseVolumeSymbol
02016-10-0331.5014070500CSCO
12016-10-03112.5221701800AAPL
22016-10-0357.4219189500MSFT
02016-10-04113.0029736800AAPL
12016-10-0457.2420085900MSFT
22016-10-0431.3518460400CSCO
02016-10-0557.6416726400MSFT
12016-10-0531.5911808600CSCO
22016-10-05113.0521453100AAPL
\n", + "
" + ], + "text/plain": [ + " Date Close Volume Symbol\n", + "0 2016-10-03 31.50 14070500 CSCO\n", + "1 2016-10-03 112.52 21701800 AAPL\n", + "2 2016-10-03 57.42 19189500 MSFT\n", + "0 2016-10-04 113.00 29736800 AAPL\n", + "1 2016-10-04 57.24 20085900 MSFT\n", + "2 2016-10-04 31.35 18460400 CSCO\n", + "0 2016-10-05 57.64 16726400 MSFT\n", + "1 2016-10-05 31.59 11808600 CSCO\n", + "2 2016-10-05 113.05 21453100 AAPL" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.concat((pd.read_csv(file) for file in stock_files))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Unfortunately, there are now duplicate values in the index. To avoid that, we can tell the `concat()` function to ignore the index and instead use the default integer index:" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateCloseVolumeSymbol
02016-10-0331.5014070500CSCO
12016-10-03112.5221701800AAPL
22016-10-0357.4219189500MSFT
32016-10-04113.0029736800AAPL
42016-10-0457.2420085900MSFT
52016-10-0431.3518460400CSCO
62016-10-0557.6416726400MSFT
72016-10-0531.5911808600CSCO
82016-10-05113.0521453100AAPL
\n", + "
" + ], + "text/plain": [ + " Date Close Volume Symbol\n", + "0 2016-10-03 31.50 14070500 CSCO\n", + "1 2016-10-03 112.52 21701800 AAPL\n", + "2 2016-10-03 57.42 19189500 MSFT\n", + "3 2016-10-04 113.00 29736800 AAPL\n", + "4 2016-10-04 57.24 20085900 MSFT\n", + "5 2016-10-04 31.35 18460400 CSCO\n", + "6 2016-10-05 57.64 16726400 MSFT\n", + "7 2016-10-05 31.59 11808600 CSCO\n", + "8 2016-10-05 113.05 21453100 AAPL" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.concat((pd.read_csv(file) for file in stock_files), ignore_index=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 10. Build a DataFrame from multiple files (column-wise)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The previous trick is useful when each file contains rows from your dataset. But what if each file instead contains columns from your dataset?\n", + "\n", + "Here's an example in which the drinks dataset has been split into two CSV files, and each file contains three columns:" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servings
0Afghanistan00
1Albania89132
2Algeria250
3Andorra245138
4Angola21757
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings\n", + "0 Afghanistan 0 0\n", + "1 Albania 89 132\n", + "2 Algeria 25 0\n", + "3 Andorra 245 138\n", + "4 Angola 217 57" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.read_csv('data/drinks1.csv').head()" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
wine_servingstotal_litres_of_pure_alcoholcontinent
000.0Asia
1544.9Europe
2140.7Africa
331212.4Europe
4455.9Africa
\n", + "
" + ], + "text/plain": [ + " wine_servings total_litres_of_pure_alcohol continent\n", + "0 0 0.0 Asia\n", + "1 54 4.9 Europe\n", + "2 14 0.7 Africa\n", + "3 312 12.4 Europe\n", + "4 45 5.9 Africa" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.read_csv('data/drinks2.csv').head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Similar to the previous trick, we'll start by using `glob()`:" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "drink_files = sorted(glob('data/drinks*.csv'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And this time, we'll tell the `concat()` function to concatenate along the columns axis:" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countrybeer_servingsspirit_servingswine_servingstotal_litres_of_pure_alcoholcontinent
0Afghanistan0000.0Asia
1Albania89132544.9Europe
2Algeria250140.7Africa
3Andorra24513831212.4Europe
4Angola21757455.9Africa
\n", + "
" + ], + "text/plain": [ + " country beer_servings spirit_servings wine_servings \\\n", + "0 Afghanistan 0 0 0 \n", + "1 Albania 89 132 54 \n", + "2 Algeria 25 0 14 \n", + "3 Andorra 245 138 312 \n", + "4 Angola 217 57 45 \n", + "\n", + " total_litres_of_pure_alcohol continent \n", + "0 0.0 Asia \n", + "1 4.9 Europe \n", + "2 0.7 Africa \n", + "3 12.4 Europe \n", + "4 5.9 Africa " + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.concat((pd.read_csv(file) for file in drink_files), axis='columns').head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now our DataFrame has all six columns." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 11. Create a DataFrame from the clipboard" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's say that you have some data stored in an Excel spreadsheet or a [Google Sheet](https://docs.google.com/spreadsheets/d/1ipv_HAykbky8OXUubs9eLL-LQ1rAkexXG61-B4jd0Rc/edit?usp=sharing), and you want to get it into a DataFrame as quickly as possible.\n", + "\n", + "Just select the data and copy it to the clipboard. Then, you can use the `read_clipboard()` function to read it into a DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Column AColumn BColumn C
014.4seven
125.5eight
236.6nine
\n", + "
" + ], + "text/plain": [ + " Column A Column B Column C\n", + "0 1 4.4 seven\n", + "1 2 5.5 eight\n", + "2 3 6.6 nine" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_clipboard()\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Just like the `read_csv()` function, `read_clipboard()` automatically detects the correct data type for each column:" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Column A int64\n", + "Column B float64\n", + "Column C object\n", + "dtype: object" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's copy one other dataset to the clipboard:" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
LeftRight
Alice1040
Bob2050
Charlie3060
\n", + "
" + ], + "text/plain": [ + " Left Right\n", + "Alice 10 40\n", + "Bob 20 50\n", + "Charlie 30 60" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_clipboard()\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Amazingly, pandas has even identified the first column as the index:" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Alice', 'Bob', 'Charlie'], dtype='object')" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.index" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Keep in mind that if you want your work to be reproducible in the future, `read_clipboard()` is not the recommended approach." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 12. Split a DataFrame into two random subsets" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's say that you want to split a DataFrame into two parts, randomly assigning 75% of the rows to one DataFrame and the other 25% to a second DataFrame.\n", + "\n", + "For example, we have a DataFrame of movie ratings with 979 rows:" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "979" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(movies)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can use the `sample()` method to randomly select 75% of the rows and assign them to the \"movies_1\" DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "movies_1 = movies.sample(frac=0.75, random_state=1234)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then we can use the `drop()` method to drop all rows that are in \"movies_1\" and assign the remaining rows to \"movies_2\":" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "movies_2 = movies.drop(movies_1.index)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can see that the total number of rows is correct:" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "979" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(movies_1) + len(movies_2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And you can see from the index that every movie is in either \"movies_1\":" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Int64Index([ 0, 2, 5, 6, 7, 8, 9, 11, 13, 16,\n", + " ...\n", + " 966, 967, 969, 971, 972, 974, 975, 976, 977, 978],\n", + " dtype='int64', length=734)" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies_1.index.sort_values()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "...or \"movies_2\":" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Int64Index([ 1, 3, 4, 10, 12, 14, 15, 18, 26, 30,\n", + " ...\n", + " 931, 934, 937, 941, 950, 954, 960, 968, 970, 973],\n", + " dtype='int64', length=245)" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies_2.index.sort_values()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Keep in mind that this approach will not work if your index values are not unique." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 13. Filter a DataFrame by multiple categories" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's take a look at the movies DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
09.3The Shawshank RedemptionRCrime142[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...
19.2The GodfatherRCrime175[u'Marlon Brando', u'Al Pacino', u'James Caan']
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
39.0The Dark KnightPG-13Action152[u'Christian Bale', u'Heath Ledger', u'Aaron E...
48.9Pulp FictionRCrime154[u'John Travolta', u'Uma Thurman', u'Samuel L....
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre duration \\\n", + "0 9.3 The Shawshank Redemption R Crime 142 \n", + "1 9.2 The Godfather R Crime 175 \n", + "2 9.1 The Godfather: Part II R Crime 200 \n", + "3 9.0 The Dark Knight PG-13 Action 152 \n", + "4 8.9 Pulp Fiction R Crime 154 \n", + "\n", + " actors_list \n", + "0 [u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt... \n", + "1 [u'Marlon Brando', u'Al Pacino', u'James Caan'] \n", + "2 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "3 [u'Christian Bale', u'Heath Ledger', u'Aaron E... \n", + "4 [u'John Travolta', u'Uma Thurman', u'Samuel L.... " + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "One of the columns is genre:" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Crime', 'Action', 'Drama', 'Western', 'Adventure', 'Biography',\n", + " 'Comedy', 'Animation', 'Mystery', 'Horror', 'Film-Noir', 'Sci-Fi',\n", + " 'History', 'Thriller', 'Family', 'Fantasy'], dtype=object)" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies.genre.unique()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If we wanted to filter the DataFrame to only show movies with the genre Action or Drama or Western, we could use multiple conditions separated by the \"or\" operator:" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
39.0The Dark KnightPG-13Action152[u'Christian Bale', u'Heath Ledger', u'Aaron E...
58.912 Angry MenNOT RATEDDrama96[u'Henry Fonda', u'Lee J. Cobb', u'Martin Bals...
68.9The Good, the Bad and the UglyNOT RATEDWestern161[u'Clint Eastwood', u'Eli Wallach', u'Lee Van ...
98.9Fight ClubRDrama139[u'Brad Pitt', u'Edward Norton', u'Helena Bonh...
118.8InceptionPG-13Action148[u'Leonardo DiCaprio', u'Joseph Gordon-Levitt'...
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre \\\n", + "3 9.0 The Dark Knight PG-13 Action \n", + "5 8.9 12 Angry Men NOT RATED Drama \n", + "6 8.9 The Good, the Bad and the Ugly NOT RATED Western \n", + "9 8.9 Fight Club R Drama \n", + "11 8.8 Inception PG-13 Action \n", + "\n", + " duration actors_list \n", + "3 152 [u'Christian Bale', u'Heath Ledger', u'Aaron E... \n", + "5 96 [u'Henry Fonda', u'Lee J. Cobb', u'Martin Bals... \n", + "6 161 [u'Clint Eastwood', u'Eli Wallach', u'Lee Van ... \n", + "9 139 [u'Brad Pitt', u'Edward Norton', u'Helena Bonh... \n", + "11 148 [u'Leonardo DiCaprio', u'Joseph Gordon-Levitt'... " + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies[(movies.genre == 'Action') |\n", + " (movies.genre == 'Drama') |\n", + " (movies.genre == 'Western')].head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "However, you can actually rewrite this code more clearly by using the `isin()` method and passing it a list of genres:" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
39.0The Dark KnightPG-13Action152[u'Christian Bale', u'Heath Ledger', u'Aaron E...
58.912 Angry MenNOT RATEDDrama96[u'Henry Fonda', u'Lee J. Cobb', u'Martin Bals...
68.9The Good, the Bad and the UglyNOT RATEDWestern161[u'Clint Eastwood', u'Eli Wallach', u'Lee Van ...
98.9Fight ClubRDrama139[u'Brad Pitt', u'Edward Norton', u'Helena Bonh...
118.8InceptionPG-13Action148[u'Leonardo DiCaprio', u'Joseph Gordon-Levitt'...
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating genre \\\n", + "3 9.0 The Dark Knight PG-13 Action \n", + "5 8.9 12 Angry Men NOT RATED Drama \n", + "6 8.9 The Good, the Bad and the Ugly NOT RATED Western \n", + "9 8.9 Fight Club R Drama \n", + "11 8.8 Inception PG-13 Action \n", + "\n", + " duration actors_list \n", + "3 152 [u'Christian Bale', u'Heath Ledger', u'Aaron E... \n", + "5 96 [u'Henry Fonda', u'Lee J. Cobb', u'Martin Bals... \n", + "6 161 [u'Clint Eastwood', u'Eli Wallach', u'Lee Van ... \n", + "9 139 [u'Brad Pitt', u'Edward Norton', u'Helena Bonh... \n", + "11 148 [u'Leonardo DiCaprio', u'Joseph Gordon-Levitt'... " + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies[movies.genre.isin(['Action', 'Drama', 'Western'])].head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And if you want to reverse this filter, so that you are excluding (rather than including) those three genres, you can put a tilde in front of the condition:" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
09.3The Shawshank RedemptionRCrime142[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...
19.2The GodfatherRCrime175[u'Marlon Brando', u'Al Pacino', u'James Caan']
29.1The Godfather: Part IIRCrime200[u'Al Pacino', u'Robert De Niro', u'Robert Duv...
48.9Pulp FictionRCrime154[u'John Travolta', u'Uma Thurman', u'Samuel L....
78.9The Lord of the Rings: The Return of the KingPG-13Adventure201[u'Elijah Wood', u'Viggo Mortensen', u'Ian McK...
\n", + "
" + ], + "text/plain": [ + " star_rating title content_rating \\\n", + "0 9.3 The Shawshank Redemption R \n", + "1 9.2 The Godfather R \n", + "2 9.1 The Godfather: Part II R \n", + "4 8.9 Pulp Fiction R \n", + "7 8.9 The Lord of the Rings: The Return of the King PG-13 \n", + "\n", + " genre duration actors_list \n", + "0 Crime 142 [u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt... \n", + "1 Crime 175 [u'Marlon Brando', u'Al Pacino', u'James Caan'] \n", + "2 Crime 200 [u'Al Pacino', u'Robert De Niro', u'Robert Duv... \n", + "4 Crime 154 [u'John Travolta', u'Uma Thurman', u'Samuel L.... \n", + "7 Adventure 201 [u'Elijah Wood', u'Viggo Mortensen', u'Ian McK... " + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies[~movies.genre.isin(['Action', 'Drama', 'Western'])].head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This works because tilde is the \"not\" operator in Python." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 14. Filter a DataFrame by largest categories" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's say that you needed to filter the movies DataFrame by genre, but only include the 3 largest genres.\n", + "\n", + "We'll start by taking the `value_counts()` of genre and saving it as a Series called counts:" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Drama 278\n", + "Comedy 156\n", + "Action 136\n", + "Crime 124\n", + "Biography 77\n", + "Adventure 75\n", + "Animation 62\n", + "Horror 29\n", + "Mystery 16\n", + "Western 9\n", + "Sci-Fi 5\n", + "Thriller 5\n", + "Film-Noir 3\n", + "Family 2\n", + "Fantasy 1\n", + "History 1\n", + "Name: genre, dtype: int64" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "counts = movies.genre.value_counts()\n", + "counts" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The Series method `nlargest()` makes it easy to select the 3 largest values in this Series:" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Drama 278\n", + "Comedy 156\n", + "Action 136\n", + "Name: genre, dtype: int64" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "counts.nlargest(3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And all we actually need from this Series is the index:" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Drama', 'Comedy', 'Action'], dtype='object')" + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "counts.nlargest(3).index" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we can pass the index object to `isin()`, and it will be treated like a list of genres:" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
star_ratingtitlecontent_ratinggenredurationactors_list
39.0The Dark KnightPG-13Action152[u'Christian Bale', u'Heath Ledger', u'Aaron E...
58.912 Angry MenNOT RATEDDrama96[u'Henry Fonda', u'Lee J. Cobb', u'Martin Bals...
98.9Fight ClubRDrama139[u'Brad Pitt', u'Edward Norton', u'Helena Bonh...
118.8InceptionPG-13Action148[u'Leonardo DiCaprio', u'Joseph Gordon-Levitt'...
128.8Star Wars: Episode V - The Empire Strikes BackPGAction124[u'Mark Hamill', u'Harrison Ford', u'Carrie Fi...
\n", + "
" + ], + "text/plain": [ + " star_rating title \\\n", + "3 9.0 The Dark Knight \n", + "5 8.9 12 Angry Men \n", + "9 8.9 Fight Club \n", + "11 8.8 Inception \n", + "12 8.8 Star Wars: Episode V - The Empire Strikes Back \n", + "\n", + " content_rating genre duration \\\n", + "3 PG-13 Action 152 \n", + "5 NOT RATED Drama 96 \n", + "9 R Drama 139 \n", + "11 PG-13 Action 148 \n", + "12 PG Action 124 \n", + "\n", + " actors_list \n", + "3 [u'Christian Bale', u'Heath Ledger', u'Aaron E... \n", + "5 [u'Henry Fonda', u'Lee J. Cobb', u'Martin Bals... \n", + "9 [u'Brad Pitt', u'Edward Norton', u'Helena Bonh... \n", + "11 [u'Leonardo DiCaprio', u'Joseph Gordon-Levitt'... \n", + "12 [u'Mark Hamill', u'Harrison Ford', u'Carrie Fi... " + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies[movies.genre.isin(counts.nlargest(3).index)].head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Thus, only Drama and Comedy and Action movies remain in the DataFrame." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 15. Handle missing values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's look at a dataset of UFO sightings:" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityColors ReportedShape ReportedStateTime
0IthacaNaNTRIANGLENY1930-06-01 22:00:00
1WillingboroNaNOTHERNJ1930-06-30 20:00:00
2HolyokeNaNOVALCO1931-02-15 14:00:00
3AbileneNaNDISKKS1931-06-01 13:00:00
4New York Worlds FairNaNLIGHTNY1933-04-18 19:00:00
\n", + "
" + ], + "text/plain": [ + " City Colors Reported Shape Reported State \\\n", + "0 Ithaca NaN TRIANGLE NY \n", + "1 Willingboro NaN OTHER NJ \n", + "2 Holyoke NaN OVAL CO \n", + "3 Abilene NaN DISK KS \n", + "4 New York Worlds Fair NaN LIGHT NY \n", + "\n", + " Time \n", + "0 1930-06-01 22:00:00 \n", + "1 1930-06-30 20:00:00 \n", + "2 1931-02-15 14:00:00 \n", + "3 1931-06-01 13:00:00 \n", + "4 1933-04-18 19:00:00 " + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You'll notice that some of the values are missing.\n", + "\n", + "To find out how many values are missing in each column, you can use the `isna()` method and then take the `sum()`:" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "City 25\n", + "Colors Reported 15359\n", + "Shape Reported 2644\n", + "State 0\n", + "Time 0\n", + "dtype: int64" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo.isna().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`isna()` generated a DataFrame of True and False values, and `sum()` converted all of the True values to 1 and added them up.\n", + "\n", + "Similarly, you can find out the percentage of values that are missing by taking the `mean()` of `isna()`:" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "City 0.001371\n", + "Colors Reported 0.842004\n", + "Shape Reported 0.144948\n", + "State 0.000000\n", + "Time 0.000000\n", + "dtype: float64" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo.isna().mean()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you want to drop the columns that have any missing values, you can use the `dropna()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
StateTime
0NY1930-06-01 22:00:00
1NJ1930-06-30 20:00:00
2CO1931-02-15 14:00:00
3KS1931-06-01 13:00:00
4NY1933-04-18 19:00:00
\n", + "
" + ], + "text/plain": [ + " State Time\n", + "0 NY 1930-06-01 22:00:00\n", + "1 NJ 1930-06-30 20:00:00\n", + "2 CO 1931-02-15 14:00:00\n", + "3 KS 1931-06-01 13:00:00\n", + "4 NY 1933-04-18 19:00:00" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo.dropna(axis='columns').head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Or if you want to drop columns in which more than 10% of the values are missing, you can set a threshold for `dropna()`:" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CityStateTime
0IthacaNY1930-06-01 22:00:00
1WillingboroNJ1930-06-30 20:00:00
2HolyokeCO1931-02-15 14:00:00
3AbileneKS1931-06-01 13:00:00
4New York Worlds FairNY1933-04-18 19:00:00
\n", + "
" + ], + "text/plain": [ + " City State Time\n", + "0 Ithaca NY 1930-06-01 22:00:00\n", + "1 Willingboro NJ 1930-06-30 20:00:00\n", + "2 Holyoke CO 1931-02-15 14:00:00\n", + "3 Abilene KS 1931-06-01 13:00:00\n", + "4 New York Worlds Fair NY 1933-04-18 19:00:00" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ufo.dropna(thresh=len(ufo)*0.9, axis='columns').head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`len(ufo)` returns the total number of rows, and then we multiply that by 0.9 to tell pandas to only keep columns in which at least 90% of the values are not missing." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 16. Split a string into multiple columns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's create another example DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
namelocation
0John Arthur DoeLos Angeles, CA
1Jane Ann SmithWashington, DC
\n", + "
" + ], + "text/plain": [ + " name location\n", + "0 John Arthur Doe Los Angeles, CA\n", + "1 Jane Ann Smith Washington, DC" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.DataFrame({'name':['John Arthur Doe', 'Jane Ann Smith'],\n", + " 'location':['Los Angeles, CA', 'Washington, DC']})\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What if we wanted to split the \"name\" column into three separate columns, for first, middle, and last name? We would use the `str.split()` method and tell it to split on a space character and expand the results into a DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
012
0JohnArthurDoe
1JaneAnnSmith
\n", + "
" + ], + "text/plain": [ + " 0 1 2\n", + "0 John Arthur Doe\n", + "1 Jane Ann Smith" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.name.str.split(' ', expand=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These three columns can actually be saved to the original DataFrame in a single assignment statement:" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
namelocationfirstmiddlelast
0John Arthur DoeLos Angeles, CAJohnArthurDoe
1Jane Ann SmithWashington, DCJaneAnnSmith
\n", + "
" + ], + "text/plain": [ + " name location first middle last\n", + "0 John Arthur Doe Los Angeles, CA John Arthur Doe\n", + "1 Jane Ann Smith Washington, DC Jane Ann Smith" + ] + }, + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[['first', 'middle', 'last']] = df.name.str.split(' ', expand=True)\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What if we wanted to split a string, but only keep one of the resulting columns? For example, let's split the location column on \"comma space\":" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
01
0Los AngelesCA
1WashingtonDC
\n", + "
" + ], + "text/plain": [ + " 0 1\n", + "0 Los Angeles CA\n", + "1 Washington DC" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.location.str.split(', ', expand=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If we only cared about saving the city name in column 0, we can just select that column and save it to the DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
namelocationfirstmiddlelastcity
0John Arthur DoeLos Angeles, CAJohnArthurDoeLos Angeles
1Jane Ann SmithWashington, DCJaneAnnSmithWashington
\n", + "
" + ], + "text/plain": [ + " name location first middle last city\n", + "0 John Arthur Doe Los Angeles, CA John Arthur Doe Los Angeles\n", + "1 Jane Ann Smith Washington, DC Jane Ann Smith Washington" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['city'] = df.location.str.split(', ', expand=True)[0]\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 17. Expand a Series of lists into a DataFrame" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's create another example DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
col_onecol_two
0a[10, 40]
1b[20, 50]
2c[30, 60]
\n", + "
" + ], + "text/plain": [ + " col_one col_two\n", + "0 a [10, 40]\n", + "1 b [20, 50]\n", + "2 c [30, 60]" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.DataFrame({'col_one':['a', 'b', 'c'], 'col_two':[[10, 40], [20, 50], [30, 60]]})\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are two columns, and the second column contains regular Python lists of integers.\n", + "\n", + "If we wanted to expand the second column into its own DataFrame, we can use the `apply()` method on that column and pass it the Series constructor:" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
01
01040
12050
23060
\n", + "
" + ], + "text/plain": [ + " 0 1\n", + "0 10 40\n", + "1 20 50\n", + "2 30 60" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_new = df.col_two.apply(pd.Series)\n", + "df_new" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And by using the `concat()` function, you can combine the original DataFrame with the new DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
col_onecol_two01
0a[10, 40]1040
1b[20, 50]2050
2c[30, 60]3060
\n", + "
" + ], + "text/plain": [ + " col_one col_two 0 1\n", + "0 a [10, 40] 10 40\n", + "1 b [20, 50] 20 50\n", + "2 c [30, 60] 30 60" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.concat([df, df_new], axis='columns')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 18. Aggregate by multiple functions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's look at a DataFrame of orders from the Chipotle restaurant chain:" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
order_idquantityitem_namechoice_descriptionitem_price
011Chips and Fresh Tomato SalsaNaN2.39
111Izze[Clementine]3.39
211Nantucket Nectar[Apple]3.39
311Chips and Tomatillo-Green Chili SalsaNaN2.39
422Chicken Bowl[Tomatillo-Red Chili Salsa (Hot), [Black Beans...16.98
531Chicken Bowl[Fresh Tomato Salsa (Mild), [Rice, Cheese, Sou...10.98
631Side of ChipsNaN1.69
741Steak Burrito[Tomatillo Red Chili Salsa, [Fajita Vegetables...11.75
841Steak Soft Tacos[Tomatillo Green Chili Salsa, [Pinto Beans, Ch...9.25
951Steak Burrito[Fresh Tomato Salsa, [Rice, Black Beans, Pinto...9.25
\n", + "
" + ], + "text/plain": [ + " order_id quantity item_name \\\n", + "0 1 1 Chips and Fresh Tomato Salsa \n", + "1 1 1 Izze \n", + "2 1 1 Nantucket Nectar \n", + "3 1 1 Chips and Tomatillo-Green Chili Salsa \n", + "4 2 2 Chicken Bowl \n", + "5 3 1 Chicken Bowl \n", + "6 3 1 Side of Chips \n", + "7 4 1 Steak Burrito \n", + "8 4 1 Steak Soft Tacos \n", + "9 5 1 Steak Burrito \n", + "\n", + " choice_description item_price \n", + "0 NaN 2.39 \n", + "1 [Clementine] 3.39 \n", + "2 [Apple] 3.39 \n", + "3 NaN 2.39 \n", + "4 [Tomatillo-Red Chili Salsa (Hot), [Black Beans... 16.98 \n", + "5 [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sou... 10.98 \n", + "6 NaN 1.69 \n", + "7 [Tomatillo Red Chili Salsa, [Fajita Vegetables... 11.75 \n", + "8 [Tomatillo Green Chili Salsa, [Pinto Beans, Ch... 9.25 \n", + "9 [Fresh Tomato Salsa, [Rice, Black Beans, Pinto... 9.25 " + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "orders.head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Each order has an order_id and consists of one or more rows. To figure out the total price of an order, you sum the item_price for that order_id. For example, here's the total price of order number 1:" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "11.56" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "orders[orders.order_id == 1].item_price.sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you wanted to calculate the total price of every order, you would `groupby()` order_id and then take the sum of item_price for each group:" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "order_id\n", + "1 11.56\n", + "2 16.98\n", + "3 12.67\n", + "4 21.00\n", + "5 13.70\n", + "Name: item_price, dtype: float64" + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "orders.groupby('order_id').item_price.sum().head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "However, you're not actually limited to aggregating by a single function such as `sum()`. To aggregate by multiple functions, you use the `agg()` method and pass it a list of functions such as `sum()` and `count()`:" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
sumcount
order_id
111.564
216.981
312.672
421.002
513.702
\n", + "
" + ], + "text/plain": [ + " sum count\n", + "order_id \n", + "1 11.56 4\n", + "2 16.98 1\n", + "3 12.67 2\n", + "4 21.00 2\n", + "5 13.70 2" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "orders.groupby('order_id').item_price.agg(['sum', 'count']).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "That gives us the total price of each order as well as the number of items in each order." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 19. Combine the output of an aggregation with a DataFrame" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's take another look at the orders DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
order_idquantityitem_namechoice_descriptionitem_price
011Chips and Fresh Tomato SalsaNaN2.39
111Izze[Clementine]3.39
211Nantucket Nectar[Apple]3.39
311Chips and Tomatillo-Green Chili SalsaNaN2.39
422Chicken Bowl[Tomatillo-Red Chili Salsa (Hot), [Black Beans...16.98
531Chicken Bowl[Fresh Tomato Salsa (Mild), [Rice, Cheese, Sou...10.98
631Side of ChipsNaN1.69
741Steak Burrito[Tomatillo Red Chili Salsa, [Fajita Vegetables...11.75
841Steak Soft Tacos[Tomatillo Green Chili Salsa, [Pinto Beans, Ch...9.25
951Steak Burrito[Fresh Tomato Salsa, [Rice, Black Beans, Pinto...9.25
\n", + "
" + ], + "text/plain": [ + " order_id quantity item_name \\\n", + "0 1 1 Chips and Fresh Tomato Salsa \n", + "1 1 1 Izze \n", + "2 1 1 Nantucket Nectar \n", + "3 1 1 Chips and Tomatillo-Green Chili Salsa \n", + "4 2 2 Chicken Bowl \n", + "5 3 1 Chicken Bowl \n", + "6 3 1 Side of Chips \n", + "7 4 1 Steak Burrito \n", + "8 4 1 Steak Soft Tacos \n", + "9 5 1 Steak Burrito \n", + "\n", + " choice_description item_price \n", + "0 NaN 2.39 \n", + "1 [Clementine] 3.39 \n", + "2 [Apple] 3.39 \n", + "3 NaN 2.39 \n", + "4 [Tomatillo-Red Chili Salsa (Hot), [Black Beans... 16.98 \n", + "5 [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sou... 10.98 \n", + "6 NaN 1.69 \n", + "7 [Tomatillo Red Chili Salsa, [Fajita Vegetables... 11.75 \n", + "8 [Tomatillo Green Chili Salsa, [Pinto Beans, Ch... 9.25 \n", + "9 [Fresh Tomato Salsa, [Rice, Black Beans, Pinto... 9.25 " + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "orders.head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What if we wanted to create a new column listing the total price of each order? Recall that we calculated the total price using the `sum()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "order_id\n", + "1 11.56\n", + "2 16.98\n", + "3 12.67\n", + "4 21.00\n", + "5 13.70\n", + "Name: item_price, dtype: float64" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "orders.groupby('order_id').item_price.sum().head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`sum()` is an aggregation function, which means that it returns a reduced version of the input data.\n", + "\n", + "In other words, the output of the `sum()` function:" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1834" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(orders.groupby('order_id').item_price.sum())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "...is smaller than the input to the function:" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "4622" + ] + }, + "execution_count": 84, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(orders.item_price)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The solution is to use the `transform()` method, which performs the same calculation but returns output data that is the same shape as the input data:" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4622" + ] + }, + "execution_count": 85, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "total_price = orders.groupby('order_id').item_price.transform('sum')\n", + "len(total_price)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We'll store the results in a new DataFrame column called total_price:" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
order_idquantityitem_namechoice_descriptionitem_pricetotal_price
011Chips and Fresh Tomato SalsaNaN2.3911.56
111Izze[Clementine]3.3911.56
211Nantucket Nectar[Apple]3.3911.56
311Chips and Tomatillo-Green Chili SalsaNaN2.3911.56
422Chicken Bowl[Tomatillo-Red Chili Salsa (Hot), [Black Beans...16.9816.98
531Chicken Bowl[Fresh Tomato Salsa (Mild), [Rice, Cheese, Sou...10.9812.67
631Side of ChipsNaN1.6912.67
741Steak Burrito[Tomatillo Red Chili Salsa, [Fajita Vegetables...11.7521.00
841Steak Soft Tacos[Tomatillo Green Chili Salsa, [Pinto Beans, Ch...9.2521.00
951Steak Burrito[Fresh Tomato Salsa, [Rice, Black Beans, Pinto...9.2513.70
\n", + "
" + ], + "text/plain": [ + " order_id quantity item_name \\\n", + "0 1 1 Chips and Fresh Tomato Salsa \n", + "1 1 1 Izze \n", + "2 1 1 Nantucket Nectar \n", + "3 1 1 Chips and Tomatillo-Green Chili Salsa \n", + "4 2 2 Chicken Bowl \n", + "5 3 1 Chicken Bowl \n", + "6 3 1 Side of Chips \n", + "7 4 1 Steak Burrito \n", + "8 4 1 Steak Soft Tacos \n", + "9 5 1 Steak Burrito \n", + "\n", + " choice_description item_price total_price \n", + "0 NaN 2.39 11.56 \n", + "1 [Clementine] 3.39 11.56 \n", + "2 [Apple] 3.39 11.56 \n", + "3 NaN 2.39 11.56 \n", + "4 [Tomatillo-Red Chili Salsa (Hot), [Black Beans... 16.98 16.98 \n", + "5 [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sou... 10.98 12.67 \n", + "6 NaN 1.69 12.67 \n", + "7 [Tomatillo Red Chili Salsa, [Fajita Vegetables... 11.75 21.00 \n", + "8 [Tomatillo Green Chili Salsa, [Pinto Beans, Ch... 9.25 21.00 \n", + "9 [Fresh Tomato Salsa, [Rice, Black Beans, Pinto... 9.25 13.70 " + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "orders['total_price'] = total_price\n", + "orders.head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As you can see, the total price of each order is now listed on every single line.\n", + "\n", + "That makes it easy to calculate the percentage of the total order price that each line represents:" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
order_idquantityitem_namechoice_descriptionitem_pricetotal_pricepercent_of_total
011Chips and Fresh Tomato SalsaNaN2.3911.560.206747
111Izze[Clementine]3.3911.560.293253
211Nantucket Nectar[Apple]3.3911.560.293253
311Chips and Tomatillo-Green Chili SalsaNaN2.3911.560.206747
422Chicken Bowl[Tomatillo-Red Chili Salsa (Hot), [Black Beans...16.9816.981.000000
531Chicken Bowl[Fresh Tomato Salsa (Mild), [Rice, Cheese, Sou...10.9812.670.866614
631Side of ChipsNaN1.6912.670.133386
741Steak Burrito[Tomatillo Red Chili Salsa, [Fajita Vegetables...11.7521.000.559524
841Steak Soft Tacos[Tomatillo Green Chili Salsa, [Pinto Beans, Ch...9.2521.000.440476
951Steak Burrito[Fresh Tomato Salsa, [Rice, Black Beans, Pinto...9.2513.700.675182
\n", + "
" + ], + "text/plain": [ + " order_id quantity item_name \\\n", + "0 1 1 Chips and Fresh Tomato Salsa \n", + "1 1 1 Izze \n", + "2 1 1 Nantucket Nectar \n", + "3 1 1 Chips and Tomatillo-Green Chili Salsa \n", + "4 2 2 Chicken Bowl \n", + "5 3 1 Chicken Bowl \n", + "6 3 1 Side of Chips \n", + "7 4 1 Steak Burrito \n", + "8 4 1 Steak Soft Tacos \n", + "9 5 1 Steak Burrito \n", + "\n", + " choice_description item_price total_price \\\n", + "0 NaN 2.39 11.56 \n", + "1 [Clementine] 3.39 11.56 \n", + "2 [Apple] 3.39 11.56 \n", + "3 NaN 2.39 11.56 \n", + "4 [Tomatillo-Red Chili Salsa (Hot), [Black Beans... 16.98 16.98 \n", + "5 [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sou... 10.98 12.67 \n", + "6 NaN 1.69 12.67 \n", + "7 [Tomatillo Red Chili Salsa, [Fajita Vegetables... 11.75 21.00 \n", + "8 [Tomatillo Green Chili Salsa, [Pinto Beans, Ch... 9.25 21.00 \n", + "9 [Fresh Tomato Salsa, [Rice, Black Beans, Pinto... 9.25 13.70 \n", + "\n", + " percent_of_total \n", + "0 0.206747 \n", + "1 0.293253 \n", + "2 0.293253 \n", + "3 0.206747 \n", + "4 1.000000 \n", + "5 0.866614 \n", + "6 0.133386 \n", + "7 0.559524 \n", + "8 0.440476 \n", + "9 0.675182 " + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "orders['percent_of_total'] = orders.item_price / orders.total_price\n", + "orders.head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 20. Select a slice of rows and columns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's take a look at another dataset:" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S " + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is the famous Titanic dataset, which shows information about passengers on the Titanic and whether or not they survived.\n", + "\n", + "If you wanted a numerical summary of the dataset, you would use the `describe()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassAgeSibSpParchFare
count891.000000891.000000891.000000714.000000891.000000891.000000891.000000
mean446.0000000.3838382.30864229.6991180.5230080.38159432.204208
std257.3538420.4865920.83607114.5264971.1027430.80605749.693429
min1.0000000.0000001.0000000.4200000.0000000.0000000.000000
25%223.5000000.0000002.00000020.1250000.0000000.0000007.910400
50%446.0000000.0000003.00000028.0000000.0000000.00000014.454200
75%668.5000001.0000003.00000038.0000001.0000000.00000031.000000
max891.0000001.0000003.00000080.0000008.0000006.000000512.329200
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass Age SibSp \\\n", + "count 891.000000 891.000000 891.000000 714.000000 891.000000 \n", + "mean 446.000000 0.383838 2.308642 29.699118 0.523008 \n", + "std 257.353842 0.486592 0.836071 14.526497 1.102743 \n", + "min 1.000000 0.000000 1.000000 0.420000 0.000000 \n", + "25% 223.500000 0.000000 2.000000 20.125000 0.000000 \n", + "50% 446.000000 0.000000 3.000000 28.000000 0.000000 \n", + "75% 668.500000 1.000000 3.000000 38.000000 1.000000 \n", + "max 891.000000 1.000000 3.000000 80.000000 8.000000 \n", + "\n", + " Parch Fare \n", + "count 891.000000 891.000000 \n", + "mean 0.381594 32.204208 \n", + "std 0.806057 49.693429 \n", + "min 0.000000 0.000000 \n", + "25% 0.000000 7.910400 \n", + "50% 0.000000 14.454200 \n", + "75% 0.000000 31.000000 \n", + "max 6.000000 512.329200 " + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.describe()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "However, the resulting DataFrame might be displaying more information than you need.\n", + "\n", + "If you wanted to filter it to only show the \"five-number summary\", you can use the `loc` accessor and pass it a slice of the \"min\" through the \"max\" row labels:" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassAgeSibSpParchFare
min1.00.01.00.4200.00.00.0000
25%223.50.02.020.1250.00.07.9104
50%446.00.03.028.0000.00.014.4542
75%668.51.03.038.0001.00.031.0000
max891.01.03.080.0008.06.0512.3292
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass Age SibSp Parch Fare\n", + "min 1.0 0.0 1.0 0.420 0.0 0.0 0.0000\n", + "25% 223.5 0.0 2.0 20.125 0.0 0.0 7.9104\n", + "50% 446.0 0.0 3.0 28.000 0.0 0.0 14.4542\n", + "75% 668.5 1.0 3.0 38.000 1.0 0.0 31.0000\n", + "max 891.0 1.0 3.0 80.000 8.0 6.0 512.3292" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.describe().loc['min':'max']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And if you're not interested in all of the columns, you can also pass it a slice of column labels:" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PclassAgeSibSpParch
min1.00.4200.00.0
25%2.020.1250.00.0
50%3.028.0000.00.0
75%3.038.0001.00.0
max3.080.0008.06.0
\n", + "
" + ], + "text/plain": [ + " Pclass Age SibSp Parch\n", + "min 1.0 0.420 0.0 0.0\n", + "25% 2.0 20.125 0.0 0.0\n", + "50% 3.0 28.000 0.0 0.0\n", + "75% 3.0 38.000 1.0 0.0\n", + "max 3.0 80.000 8.0 6.0" + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.describe().loc['min':'max', 'Pclass':'Parch']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 21. Reshape a MultiIndexed Series" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The Titanic dataset has a \"Survived\" column made up of ones and zeros, so you can calculate the overall survival rate by taking a mean of that column:" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.3838383838383838" + ] + }, + "execution_count": 92, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.Survived.mean()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you wanted to calculate the survival rate by a single category such as \"Sex\", you would use a `groupby()`:" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Sex\n", + "female 0.742038\n", + "male 0.188908\n", + "Name: Survived, dtype: float64" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.groupby('Sex').Survived.mean()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And if you wanted to calculate the survival rate across two different categories at once, you would `groupby()` both of those categories:" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Sex Pclass\n", + "female 1 0.968085\n", + " 2 0.921053\n", + " 3 0.500000\n", + "male 1 0.368852\n", + " 2 0.157407\n", + " 3 0.135447\n", + "Name: Survived, dtype: float64" + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.groupby(['Sex', 'Pclass']).Survived.mean()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This shows the survival rate for every combination of Sex and Passenger Class. It's stored as a MultiIndexed Series, meaning that it has multiple index levels to the left of the actual data.\n", + "\n", + "It can be hard to read and interact with data in this format, so it's often more convenient to reshape a MultiIndexed Series into a DataFrame by using the `unstack()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Pclass123
Sex
female0.9680850.9210530.500000
male0.3688520.1574070.135447
\n", + "
" + ], + "text/plain": [ + "Pclass 1 2 3\n", + "Sex \n", + "female 0.968085 0.921053 0.500000\n", + "male 0.368852 0.157407 0.135447" + ] + }, + "execution_count": 95, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.groupby(['Sex', 'Pclass']).Survived.mean().unstack()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This DataFrame contains the same exact data as the MultiIndexed Series, except that now you can interact with it using familiar DataFrame methods." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 22. Create a pivot table" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you often create DataFrames like the one above, you might find it more convenient to use the `pivot_table()` method instead:" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Pclass123
Sex
female0.9680850.9210530.500000
male0.3688520.1574070.135447
\n", + "
" + ], + "text/plain": [ + "Pclass 1 2 3\n", + "Sex \n", + "female 0.968085 0.921053 0.500000\n", + "male 0.368852 0.157407 0.135447" + ] + }, + "execution_count": 96, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.pivot_table(index='Sex', columns='Pclass', values='Survived', aggfunc='mean')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With a pivot table, you directly specify the index, the columns, the values, and the aggregation function.\n", + "\n", + "An added benefit of a pivot table is that you can easily add row and column totals by setting `margins=True`:" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Pclass123All
Sex
female0.9680850.9210530.5000000.742038
male0.3688520.1574070.1354470.188908
All0.6296300.4728260.2423630.383838
\n", + "
" + ], + "text/plain": [ + "Pclass 1 2 3 All\n", + "Sex \n", + "female 0.968085 0.921053 0.500000 0.742038\n", + "male 0.368852 0.157407 0.135447 0.188908\n", + "All 0.629630 0.472826 0.242363 0.383838" + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.pivot_table(index='Sex', columns='Pclass', values='Survived', aggfunc='mean',\n", + " margins=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This shows the overall survival rate as well as the survival rate by Sex and Passenger Class.\n", + "\n", + "Finally, you can create a cross-tabulation just by changing the aggregation function from \"mean\" to \"count\":" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Pclass123All
Sex
female9476144314
male122108347577
All216184491891
\n", + "
" + ], + "text/plain": [ + "Pclass 1 2 3 All\n", + "Sex \n", + "female 94 76 144 314\n", + "male 122 108 347 577\n", + "All 216 184 491 891" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.pivot_table(index='Sex', columns='Pclass', values='Survived', aggfunc='count',\n", + " margins=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This shows the number of records that appear in each combination of categories." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 23. Convert continuous data into categorical data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's take a look at the Age column from the Titanic dataset:" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 22.0\n", + "1 38.0\n", + "2 26.0\n", + "3 35.0\n", + "4 35.0\n", + "5 NaN\n", + "6 54.0\n", + "7 2.0\n", + "8 27.0\n", + "9 14.0\n", + "Name: Age, dtype: float64" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.Age.head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It's currently continuous data, but what if you wanted to convert it into categorical data?\n", + "\n", + "One solution would be to label the age ranges, such as \"child\", \"young adult\", and \"adult\". The best way to do this is by using the `cut()` function:" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 young adult\n", + "1 adult\n", + "2 adult\n", + "3 adult\n", + "4 adult\n", + "5 NaN\n", + "6 adult\n", + "7 child\n", + "8 adult\n", + "9 child\n", + "Name: Age, dtype: category\n", + "Categories (3, object): [child < young adult < adult]" + ] + }, + "execution_count": 100, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.cut(titanic.Age, bins=[0, 18, 25, 99], labels=['child', 'young adult', 'adult']).head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This assigned each value to a bin with a label. Ages 0 to 18 were assigned the label \"child\", ages 18 to 25 were assigned the label \"young adult\", and ages 25 to 99 were assigned the label \"adult\".\n", + "\n", + "Notice that the data type is now \"category\", and the categories are automatically ordered." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 24. Change display options" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's take another look at the Titanic dataset:" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S " + ] + }, + "execution_count": 101, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Notice that the Age column has 1 decimal place and the Fare column has 4 decimal places. What if you wanted to standardize the display to use 2 decimal places?\n", + "\n", + "You can use the `set_option()` function:" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [], + "source": [ + "pd.set_option('display.float_format', '{:.2f}'.format)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The first argument is the name of the option, and the second argument is a Python format string." + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.0010A/5 211717.25NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.0010PC 1759971.28C85C
2313Heikkinen, Miss. Lainafemale26.0000STON/O2. 31012827.92NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.001011380353.10C123S
4503Allen, Mr. William Henrymale35.00003734508.05NaNS
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.00 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.00 1 \n", + "2 Heikkinen, Miss. Laina female 26.00 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.00 1 \n", + "4 Allen, Mr. William Henry male 35.00 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.25 NaN S \n", + "1 0 PC 17599 71.28 C85 C \n", + "2 0 STON/O2. 3101282 7.92 NaN S \n", + "3 0 113803 53.10 C123 S \n", + "4 0 373450 8.05 NaN S " + ] + }, + "execution_count": 103, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can see that Age and Fare are now using 2 decimal places. Note that this did not change the underlying data, only the display of the data.\n", + "\n", + "You can also reset any option back to its default:" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [], + "source": [ + "pd.reset_option('display.float_format')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are many more options you can specify is a similar way." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 25. Style a DataFrame" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The previous trick is useful if you want to change the display of your entire notebook. However, a more flexible and powerful approach is to define the style of a particular DataFrame.\n", + "\n", + "Let's return to the stocks DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateCloseVolumeSymbol
02016-10-0331.5014070500CSCO
12016-10-03112.5221701800AAPL
22016-10-0357.4219189500MSFT
32016-10-04113.0029736800AAPL
42016-10-0457.2420085900MSFT
52016-10-0431.3518460400CSCO
62016-10-0557.6416726400MSFT
72016-10-0531.5911808600CSCO
82016-10-05113.0521453100AAPL
\n", + "
" + ], + "text/plain": [ + " Date Close Volume Symbol\n", + "0 2016-10-03 31.50 14070500 CSCO\n", + "1 2016-10-03 112.52 21701800 AAPL\n", + "2 2016-10-03 57.42 19189500 MSFT\n", + "3 2016-10-04 113.00 29736800 AAPL\n", + "4 2016-10-04 57.24 20085900 MSFT\n", + "5 2016-10-04 31.35 18460400 CSCO\n", + "6 2016-10-05 57.64 16726400 MSFT\n", + "7 2016-10-05 31.59 11808600 CSCO\n", + "8 2016-10-05 113.05 21453100 AAPL" + ] + }, + "execution_count": 105, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can create a dictionary of format strings that specifies how each column should be formatted:" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [], + "source": [ + "format_dict = {'Date':'{:%m/%d/%y}', 'Close':'${:.2f}', 'Volume':'{:,}'}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And then we can pass it to the DataFrame's `style.format()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Date Close Volume Symbol
010/03/16$31.5014,070,500CSCO
110/03/16$112.5221,701,800AAPL
210/03/16$57.4219,189,500MSFT
310/04/16$113.0029,736,800AAPL
410/04/16$57.2420,085,900MSFT
510/04/16$31.3518,460,400CSCO
610/05/16$57.6416,726,400MSFT
710/05/16$31.5911,808,600CSCO
810/05/16$113.0521,453,100AAPL
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 107, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stocks.style.format(format_dict)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Notice that the Date is now in month-day-year format, the closing price has a dollar sign, and the Volume has commas.\n", + "\n", + "We can apply more styling by chaining additional methods:" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Date Close Volume Symbol
10/03/16$31.5014,070,500CSCO
10/03/16$112.5221,701,800AAPL
10/03/16$57.4219,189,500MSFT
10/04/16$113.0029,736,800AAPL
10/04/16$57.2420,085,900MSFT
10/04/16$31.3518,460,400CSCO
10/05/16$57.6416,726,400MSFT
10/05/16$31.5911,808,600CSCO
10/05/16$113.0521,453,100AAPL
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(stocks.style.format(format_dict)\n", + " .hide_index()\n", + " .highlight_min('Close', color='red')\n", + " .highlight_max('Close', color='lightgreen')\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We've now hidden the index, highlighted the minimum Close value in red, and highlighted the maximum Close value in green.\n", + "\n", + "Here's another example of DataFrame styling:" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Date Close Volume Symbol
10/03/16$31.5014,070,500CSCO
10/03/16$112.5221,701,800AAPL
10/03/16$57.4219,189,500MSFT
10/04/16$113.0029,736,800AAPL
10/04/16$57.2420,085,900MSFT
10/04/16$31.3518,460,400CSCO
10/05/16$57.6416,726,400MSFT
10/05/16$31.5911,808,600CSCO
10/05/16$113.0521,453,100AAPL
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(stocks.style.format(format_dict)\n", + " .hide_index()\n", + " .background_gradient(subset='Volume', cmap='Blues')\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The Volume column now has a background gradient to help you easily identify high and low values.\n", + "\n", + "And here's one final example:" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Stock Prices from October 2016
Date Close Volume Symbol
10/03/16$31.5014,070,500CSCO
10/03/16$112.5221,701,800AAPL
10/03/16$57.4219,189,500MSFT
10/04/16$113.0029,736,800AAPL
10/04/16$57.2420,085,900MSFT
10/04/16$31.3518,460,400CSCO
10/05/16$57.6416,726,400MSFT
10/05/16$31.5911,808,600CSCO
10/05/16$113.0521,453,100AAPL
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 110, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(stocks.style.format(format_dict)\n", + " .hide_index()\n", + " .bar('Volume', color='lightblue', align='zero')\n", + " .set_caption('Stock Prices from October 2016')\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There's now a bar chart within the Volume column and a caption above the DataFrame.\n", + "\n", + "Note that there are many more options for how you can style your DataFrame." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Bonus: Profile a DataFrame" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's say that you've got a new dataset, and you want to quickly explore it without too much work. There's a separate package called [pandas-profiling](https://github.com/pandas-profiling/pandas-profiling) that is designed for this purpose.\n", + "\n", + "First you have to install it using conda or pip. Once that's done, you import `pandas_profiling`:" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas_profiling" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then, simply run the `ProfileReport()` function and pass it any DataFrame. It returns an interactive HTML report:\n", + "\n", + "- The first section is an overview of the dataset and a list of possible issues with the data.\n", + "- The next section gives a summary of each column. You can click \"toggle details\" for even more information.\n", + "- The third section shows a heatmap of the correlation between columns.\n", + "- And the fourth section shows the head of the dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "
\n", + "
\n", + "

Overview

\n", + "
\n", + "
\n", + "
\n", + "

Dataset info

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Number of variables12
Number of observations891
Total Missing (%)8.1%
Total size in memory83.6 KiB
Average record size in memory96.1 B
\n", + "
\n", + "
\n", + "

Variables types

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Numeric6
Categorical4
Boolean1
Date0
Text (Unique)1
Rejected0
Unsupported0
\n", + "
\n", + "
\n", + " \n", + "

Warnings

\n", + "
  • Age has 177 / 19.9% missing values Missing
  • Cabin has 687 / 77.1% missing values Missing
  • Cabin has a high cardinality: 148 distinct values Warning
  • Fare has 15 / 1.7% zeros Zeros
  • Parch has 678 / 76.1% zeros Zeros
  • SibSp has 608 / 68.2% zeros Zeros
  • Ticket has a high cardinality: 681 distinct values Warning
\n", + "
\n", + "
\n", + "
\n", + "

Variables

\n", + "
\n", + "
\n", + "
\n", + "

Age
\n", + " Numeric\n", + "

\n", + "
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Distinct count89
Unique (%)10.0%
Missing (%)19.9%
Missing (n)177
Infinite (%)0.0%
Infinite (n)0
\n", + "\n", + "
\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Mean29.699
Minimum0.42
Maximum80
Zeros (%)0.0%
\n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + "
\n", + "
\n", + "
\n", + "

Quantile statistics

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Minimum0.42
5-th percentile4
Q120.125
Median28
Q338
95-th percentile56
Maximum80
Range79.58
Interquartile range17.875
\n", + "
\n", + "
\n", + "

Descriptive statistics

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Standard deviation14.526
Coef of variation0.48912
Kurtosis0.17827
Mean29.699
MAD11.323
Skewness0.38911
Sum21205
Variance211.02
Memory size7.0 KiB
\n", + "
\n", + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
24.0303.4%\n", + "
 
\n", + "
22.0273.0%\n", + "
 
\n", + "
18.0262.9%\n", + "
 
\n", + "
28.0252.8%\n", + "
 
\n", + "
19.0252.8%\n", + "
 
\n", + "
30.0252.8%\n", + "
 
\n", + "
21.0242.7%\n", + "
 
\n", + "
25.0232.6%\n", + "
 
\n", + "
36.0222.5%\n", + "
 
\n", + "
29.0202.2%\n", + "
 
\n", + "
Other values (78)46752.4%\n", + "
 
\n", + "
(Missing)17719.9%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "

Minimum 5 values

\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
0.4210.1%\n", + "
 
\n", + "
0.6710.1%\n", + "
 
\n", + "
0.7520.2%\n", + "
 
\n", + "
0.8320.2%\n", + "
 
\n", + "
0.9210.1%\n", + "
 
\n", + "
\n", + "

Maximum 5 values

\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
70.020.2%\n", + "
 
\n", + "
70.510.1%\n", + "
 
\n", + "
71.020.2%\n", + "
 
\n", + "
74.010.1%\n", + "
 
\n", + "
80.010.1%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Cabin
\n", + " Categorical\n", + "

\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Distinct count148
Unique (%)16.6%
Missing (%)77.1%
Missing (n)687
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + "\n", + " \n", + " \n", + "\n", + " \n", + " \n", + "\n", + " \n", + " \n", + "\n", + "
G6\n", + "
\n", + "  \n", + "
\n", + " 4\n", + "
C23 C25 C27\n", + "
\n", + "  \n", + "
\n", + " 4\n", + "
B96 B98\n", + "
\n", + "  \n", + "
\n", + " 4\n", + "
Other values (144)\n", + "
\n", + " 192\n", + "
\n", + " \n", + "
(Missing)\n", + "
\n", + " 687\n", + "
\n", + " \n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
G640.4%\n", + "
 
\n", + "
C23 C25 C2740.4%\n", + "
 
\n", + "
B96 B9840.4%\n", + "
 
\n", + "
D30.3%\n", + "
 
\n", + "
F230.3%\n", + "
 
\n", + "
F3330.3%\n", + "
 
\n", + "
E10130.3%\n", + "
 
\n", + "
C22 C2630.3%\n", + "
 
\n", + "
C12420.2%\n", + "
 
\n", + "
D3520.2%\n", + "
 
\n", + "
Other values (137)17319.4%\n", + "
 
\n", + "
(Missing)68777.1%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Embarked
\n", + " Categorical\n", + "

\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Distinct count4
Unique (%)0.4%
Missing (%)0.2%
Missing (n)2
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + "\n", + " \n", + " \n", + "\n", + " \n", + " \n", + "\n", + "
S\n", + "
\n", + " 644\n", + "
\n", + " \n", + "
C\n", + "
\n", + " 168\n", + "
\n", + " \n", + "
Q\n", + "
\n", + "  \n", + "
\n", + " 77\n", + "
(Missing)\n", + "
\n", + "  \n", + "
\n", + " 2\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
S64472.3%\n", + "
 
\n", + "
C16818.9%\n", + "
 
\n", + "
Q778.6%\n", + "
 
\n", + "
(Missing)20.2%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Fare
\n", + " Numeric\n", + "

\n", + "
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Distinct count248
Unique (%)27.8%
Missing (%)0.0%
Missing (n)0
Infinite (%)0.0%
Infinite (n)0
\n", + "\n", + "
\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Mean32.204
Minimum0
Maximum512.33
Zeros (%)1.7%
\n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + "
\n", + "
\n", + "
\n", + "

Quantile statistics

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Minimum0
5-th percentile7.225
Q17.9104
Median14.454
Q331
95-th percentile112.08
Maximum512.33
Range512.33
Interquartile range23.09
\n", + "
\n", + "
\n", + "

Descriptive statistics

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Standard deviation49.693
Coef of variation1.5431
Kurtosis33.398
Mean32.204
MAD28.164
Skewness4.7873
Sum28694
Variance2469.4
Memory size7.0 KiB
\n", + "
\n", + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
8.05434.8%\n", + "
 
\n", + "
13.0424.7%\n", + "
 
\n", + "
7.8958384.3%\n", + "
 
\n", + "
7.75343.8%\n", + "
 
\n", + "
26.0313.5%\n", + "
 
\n", + "
10.5242.7%\n", + "
 
\n", + "
7.925182.0%\n", + "
 
\n", + "
7.775161.8%\n", + "
 
\n", + "
26.55151.7%\n", + "
 
\n", + "
0.0151.7%\n", + "
 
\n", + "
Other values (238)61569.0%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "

Minimum 5 values

\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
0.0151.7%\n", + "
 
\n", + "
4.012510.1%\n", + "
 
\n", + "
5.010.1%\n", + "
 
\n", + "
6.237510.1%\n", + "
 
\n", + "
6.437510.1%\n", + "
 
\n", + "
\n", + "

Maximum 5 values

\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
227.52540.4%\n", + "
 
\n", + "
247.520820.2%\n", + "
 
\n", + "
262.37520.2%\n", + "
 
\n", + "
263.040.4%\n", + "
 
\n", + "
512.329230.3%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Name
\n", + " Categorical, Unique\n", + "

\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
First 3 values
Mockler, Miss. Helen Mary \"Ellie\"
Baclini, Miss. Eugenie
Mayne, Mlle. Berthe Antonine (\"Mrs de Villiers\")
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Last 3 values
Hoyt, Mrs. Frederick Maxfield (Jane Anne Forby)
Gustafsson, Mr. Karl Gideon
Dowdell, Miss. Elizabeth
\n", + "\n", + "
\n", + "

First 10 values

\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
Abbing, Mr. Anthony10.1%\n", + "
 
\n", + "
Abbott, Mr. Rossmore Edward10.1%\n", + "
 
\n", + "
Abbott, Mrs. Stanton (Rosa Hunt)10.1%\n", + "
 
\n", + "
Abelson, Mr. Samuel10.1%\n", + "
 
\n", + "
Abelson, Mrs. Samuel (Hannah Wizosky)10.1%\n", + "
 
\n", + "
\n", + "

Last 10 values

\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
de Mulder, Mr. Theodore10.1%\n", + "
 
\n", + "
de Pelsmaeker, Mr. Alfons10.1%\n", + "
 
\n", + "
del Carlo, Mr. Sebastiano10.1%\n", + "
 
\n", + "
van Billiard, Mr. Austin Blyler10.1%\n", + "
 
\n", + "
van Melkebeke, Mr. Philemon10.1%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Parch
\n", + " Numeric\n", + "

\n", + "
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Distinct count7
Unique (%)0.8%
Missing (%)0.0%
Missing (n)0
Infinite (%)0.0%
Infinite (n)0
\n", + "\n", + "
\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Mean0.38159
Minimum0
Maximum6
Zeros (%)76.1%
\n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + "
\n", + "
\n", + "
\n", + "

Quantile statistics

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Minimum0
5-th percentile0
Q10
Median0
Q30
95-th percentile2
Maximum6
Range6
Interquartile range0
\n", + "
\n", + "
\n", + "

Descriptive statistics

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Standard deviation0.80606
Coef of variation2.1123
Kurtosis9.7781
Mean0.38159
MAD0.58074
Skewness2.7491
Sum340
Variance0.64973
Memory size7.0 KiB
\n", + "
\n", + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
067876.1%\n", + "
 
\n", + "
111813.2%\n", + "
 
\n", + "
2809.0%\n", + "
 
\n", + "
550.6%\n", + "
 
\n", + "
350.6%\n", + "
 
\n", + "
440.4%\n", + "
 
\n", + "
610.1%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "

Minimum 5 values

\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
067876.1%\n", + "
 
\n", + "
111813.2%\n", + "
 
\n", + "
2809.0%\n", + "
 
\n", + "
350.6%\n", + "
 
\n", + "
440.4%\n", + "
 
\n", + "
\n", + "

Maximum 5 values

\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
2809.0%\n", + "
 
\n", + "
350.6%\n", + "
 
\n", + "
440.4%\n", + "
 
\n", + "
550.6%\n", + "
 
\n", + "
610.1%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

PassengerId
\n", + " Numeric\n", + "

\n", + "
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Distinct count891
Unique (%)100.0%
Missing (%)0.0%
Missing (n)0
Infinite (%)0.0%
Infinite (n)0
\n", + "\n", + "
\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Mean446
Minimum1
Maximum891
Zeros (%)0.0%
\n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + "
\n", + "
\n", + "
\n", + "

Quantile statistics

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Minimum1
5-th percentile45.5
Q1223.5
Median446
Q3668.5
95-th percentile846.5
Maximum891
Range890
Interquartile range445
\n", + "
\n", + "
\n", + "

Descriptive statistics

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Standard deviation257.35
Coef of variation0.57703
Kurtosis-1.2
Mean446
MAD222.75
Skewness0
Sum397386
Variance66231
Memory size7.0 KiB
\n", + "
\n", + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
89110.1%\n", + "
 
\n", + "
29310.1%\n", + "
 
\n", + "
30410.1%\n", + "
 
\n", + "
30310.1%\n", + "
 
\n", + "
30210.1%\n", + "
 
\n", + "
30110.1%\n", + "
 
\n", + "
30010.1%\n", + "
 
\n", + "
29910.1%\n", + "
 
\n", + "
29810.1%\n", + "
 
\n", + "
29710.1%\n", + "
 
\n", + "
Other values (881)88198.9%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "

Minimum 5 values

\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
110.1%\n", + "
 
\n", + "
210.1%\n", + "
 
\n", + "
310.1%\n", + "
 
\n", + "
410.1%\n", + "
 
\n", + "
510.1%\n", + "
 
\n", + "
\n", + "

Maximum 5 values

\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
88710.1%\n", + "
 
\n", + "
88810.1%\n", + "
 
\n", + "
88910.1%\n", + "
 
\n", + "
89010.1%\n", + "
 
\n", + "
89110.1%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Pclass
\n", + " Numeric\n", + "

\n", + "
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Distinct count3
Unique (%)0.3%
Missing (%)0.0%
Missing (n)0
Infinite (%)0.0%
Infinite (n)0
\n", + "\n", + "
\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Mean2.3086
Minimum1
Maximum3
Zeros (%)0.0%
\n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + "
\n", + "
\n", + "
\n", + "

Quantile statistics

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Minimum1
5-th percentile1
Q12
Median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range1
\n", + "
\n", + "
\n", + "

Descriptive statistics

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Standard deviation0.83607
Coef of variation0.36215
Kurtosis-1.28
Mean2.3086
MAD0.76197
Skewness-0.63055
Sum2057
Variance0.69902
Memory size7.0 KiB
\n", + "
\n", + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
349155.1%\n", + "
 
\n", + "
121624.2%\n", + "
 
\n", + "
218420.7%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "

Minimum 5 values

\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
121624.2%\n", + "
 
\n", + "
218420.7%\n", + "
 
\n", + "
349155.1%\n", + "
 
\n", + "
\n", + "

Maximum 5 values

\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
121624.2%\n", + "
 
\n", + "
218420.7%\n", + "
 
\n", + "
349155.1%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Sex
\n", + " Categorical\n", + "

\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Distinct count2
Unique (%)0.2%
Missing (%)0.0%
Missing (n)0
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + "\n", + "
male\n", + "
\n", + " 577\n", + "
\n", + " \n", + "
female\n", + "
\n", + " 314\n", + "
\n", + " \n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
male57764.8%\n", + "
 
\n", + "
female31435.2%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

SibSp
\n", + " Numeric\n", + "

\n", + "
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Distinct count7
Unique (%)0.8%
Missing (%)0.0%
Missing (n)0
Infinite (%)0.0%
Infinite (n)0
\n", + "\n", + "
\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Mean0.52301
Minimum0
Maximum8
Zeros (%)68.2%
\n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + "
\n", + "
\n", + "
\n", + "

Quantile statistics

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Minimum0
5-th percentile0
Q10
Median0
Q31
95-th percentile3
Maximum8
Range8
Interquartile range1
\n", + "
\n", + "
\n", + "

Descriptive statistics

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Standard deviation1.1027
Coef of variation2.1085
Kurtosis17.88
Mean0.52301
MAD0.71378
Skewness3.6954
Sum466
Variance1.216
Memory size7.0 KiB
\n", + "
\n", + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
060868.2%\n", + "
 
\n", + "
120923.5%\n", + "
 
\n", + "
2283.1%\n", + "
 
\n", + "
4182.0%\n", + "
 
\n", + "
3161.8%\n", + "
 
\n", + "
870.8%\n", + "
 
\n", + "
550.6%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "

Minimum 5 values

\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
060868.2%\n", + "
 
\n", + "
120923.5%\n", + "
 
\n", + "
2283.1%\n", + "
 
\n", + "
3161.8%\n", + "
 
\n", + "
4182.0%\n", + "
 
\n", + "
\n", + "

Maximum 5 values

\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
2283.1%\n", + "
 
\n", + "
3161.8%\n", + "
 
\n", + "
4182.0%\n", + "
 
\n", + "
550.6%\n", + "
 
\n", + "
870.8%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Survived
\n", + " Boolean\n", + "

\n", + "
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Distinct count2
Unique (%)0.2%
Missing (%)0.0%
Missing (n)0
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Mean0.38384
\n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + "\n", + "
0\n", + "
\n", + " 549\n", + "
\n", + " \n", + "
1\n", + "
\n", + " 342\n", + "
\n", + " \n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
054961.6%\n", + "
 
\n", + "
134238.4%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Ticket
\n", + " Categorical\n", + "

\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Distinct count681
Unique (%)76.4%
Missing (%)0.0%
Missing (n)0
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + "\n", + " \n", + " \n", + "\n", + " \n", + " \n", + "\n", + "
347082\n", + "
\n", + "  \n", + "
\n", + " 7\n", + "
1601\n", + "
\n", + "  \n", + "
\n", + " 7\n", + "
CA. 2343\n", + "
\n", + "  \n", + "
\n", + " 7\n", + "
Other values (678)\n", + "
\n", + " 870\n", + "
\n", + " \n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
ValueCountFrequency (%) 
34708270.8%\n", + "
 
\n", + "
160170.8%\n", + "
 
\n", + "
CA. 234370.8%\n", + "
 
\n", + "
CA 214460.7%\n", + "
 
\n", + "
34708860.7%\n", + "
 
\n", + "
310129560.7%\n", + "
 
\n", + "
S.O.C. 1487950.6%\n", + "
 
\n", + "
38265250.6%\n", + "
 
\n", + "
34990940.4%\n", + "
 
\n", + "
LINE40.4%\n", + "
 
\n", + "
Other values (671)83493.6%\n", + "
 
\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Correlations

\n", + "
\n", + "
\n", + " \n", + " \n", + "
\n", + "
\n", + "

Sample

\n", + "
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
\n", + "
\n", + "
\n", + "
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pandas_profiling.ProfileReport(titanic)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Want more tricks? Watch [21 more pandas tricks](https://www.youtube.com/watch?v=tWFQqaRtSQA&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=36) or [Read the notebook](https://nbviewer.org/github/justmarkham/pandas-videos/blob/master/21_more_pandas_tricks.ipynb)\n", + "\n", + "© 2019 [Data School](https://www.dataschool.io). All rights reserved." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/pdf/pdf_handlers.ipynb b/appkits/qpyapp/src/qpynotes/topics/pdf/pdf_handlers.ipynb new file mode 100644 index 0000000..54f657b --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pdf/pdf_handlers.ipynb @@ -0,0 +1,37 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "initial_id", + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/prompts/__init__.py b/appkits/qpyapp/src/qpynotes/topics/prompts/__init__.py new file mode 100644 index 0000000..01c08fd --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/prompts/__init__.py @@ -0,0 +1 @@ +from .prompts_generator import * diff --git a/appkits/qpyapp/src/qpynotes/topics/prompts/pdm-prompts.json.py b/appkits/qpyapp/src/qpynotes/topics/prompts/pdm-prompts.json.py new file mode 100644 index 0000000..1e299bd --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/prompts/pdm-prompts.json.py @@ -0,0 +1,5 @@ +{ + "docs_url": "https://pdm-project.org/latest/", + "role": "请为一个初学Python的人总结", + "prompt": "PDM在项目中如何安装和删除依赖", +} diff --git a/appkits/qpyapp/src/qpynotes/topics/prompts/prompts_generator.py b/appkits/qpyapp/src/qpynotes/topics/prompts/prompts_generator.py new file mode 100644 index 0000000..7328858 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/prompts/prompts_generator.py @@ -0,0 +1,22 @@ +from pydantic import BaseModel + + +class RemoteDocPrompt(BaseModel): + docs_url: str + role: str = "请为一个初学者总结" + prompt: str + output_type: str = "markdown" + + def to_prompt(self): + return f"文档地址为:{self.docs_url},{self.role}: {self.prompt},并用{self.output_type} 返回" + + +def generate_remote_prompts(doc_url: str, prompt: str, role: str = None) -> str: + if role is None: + prompt = RemoteDocPrompt( + docs_url=doc_url, + prompt=prompt, + ) + else: + prompt = RemoteDocPrompt(docs_url=doc_url, prompt=prompt, role=role) + return prompt.to_prompt() diff --git a/appkits/qpyapp/src/qpynotes/topics/prompts/test_prompts_generator.py b/appkits/qpyapp/src/qpynotes/topics/prompts/test_prompts_generator.py new file mode 100644 index 0000000..e50804d --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/prompts/test_prompts_generator.py @@ -0,0 +1,22 @@ +import prompts_generator as gen + + +def test_generate_remote_prompts(): + docs_url = "https://pdm-project.org/latest/" + prompt_list = [ + "PDM在项目中如何安装和删除依赖", + "PDM如何Build和Publish", + "PDM如何配置项目", + "PDM如何编写脚本", + "PDM如何管理虚拟环境", + "PDM如何高级应用", + "PDM生命周期和Hook管理", + ] + for content in prompt_list: + result = gen.generate_remote_prompts(doc_url=docs_url, prompt=content) + output_title = f""" + --- + {result} + --- + """ + print(output_title) diff --git a/appkits/qpyapp/src/qpynotes/topics/pydantic-one-page.ipynb b/appkits/qpyapp/src/qpynotes/topics/pydantic-one-page.ipynb new file mode 100644 index 0000000..3ec5d5c --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/pydantic-one-page.ipynb @@ -0,0 +1,44 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Pydantic One Page\n", + "\n", + "\n", + "### Model/Field Definition" + ], + "id": "76c27587daff79a8" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": "", + "id": "7b1dc6f003060593" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/rags/README.md b/appkits/qpyapp/src/qpynotes/topics/rags/README.md new file mode 100644 index 0000000..559f3c0 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/rags/README.md @@ -0,0 +1,7 @@ +# RAG From Scratch + +LLMs are trained on a large but fixed corpus of data, limiting their ability to reason about private or recent information. Fine-tuning is one way to mitigate this, but is often [not well-suited for facutal recall](https://www.anyscale.com/blog/fine-tuning-is-for-form-not-facts) and [can be costly](https://www.glean.com/blog/how-to-build-an-ai-assistant-for-the-enterprise). +Retrieval augmented generation (RAG) has emerged as a popular and powerful mechanism to expand an LLM's knowledge base, using documents retrieved from an external data source to ground the LLM generation via in-context learning. +These notebooks accompany a [video playlist](https://youtube.com/playlist?list=PLfaIDFEXuae2LXbO1_PKyVJiQ23ZztA0x&feature=shared) that builds up an understanding of RAG from scratch, starting with the basics of indexing, retrieval, and generation. +![rag_detail_v2](https://github.com/langchain-ai/rag-from-scratch/assets/122662504/54a2d76c-b07e-49e7-b4ce-fc45667360a1) + diff --git a/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch.ipynb b/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch.ipynb new file mode 100644 index 0000000..54f657b --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch.ipynb @@ -0,0 +1,37 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "initial_id", + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_10_and_11.ipynb b/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_10_and_11.ipynb new file mode 100644 index 0000000..2de0b9a --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_10_and_11.ipynb @@ -0,0 +1,698 @@ +{ + "cells": [ + { + "attachments": { + "c02ab9b5-38f9-451a-b202-62b54ab9c87a.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "d4ffa253-e427-4663-bc0b-9b1fcce508e6", + "metadata": {}, + "source": [ + "# Rag From Scratch: Routing\n", + "\n", + "![image.png](attachment:c02ab9b5-38f9-451a-b202-62b54ab9c87a.png)\n", + "\n", + "## Enviornment\n", + "\n", + "`(1) Packages`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9bc509da-52b2-49fc-bc45-e5fd75ff5fed", + "metadata": {}, + "outputs": [], + "source": [ + "! pip install langchain_community tiktoken langchain-openai langchainhub chromadb langchain youtube-transcript-api pytube" + ] + }, + { + "cell_type": "markdown", + "id": "823ab5e8-a314-446e-9213-5f11cfd67555", + "metadata": {}, + "source": [ + "`(2) LangSmith`\n", + "\n", + "https://docs.smith.langchain.com/" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3bc82800-5498-40be-86db-e1f6df8c86da", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.environ['LANGCHAIN_TRACING_V2'] = 'true'\n", + "os.environ['LANGCHAIN_ENDPOINT'] = 'https://api.smith.langchain.com'\n", + "os.environ['LANGCHAIN_API_KEY'] = " + ] + }, + { + "cell_type": "markdown", + "id": "9acfd3be-d9d3-42f6-a13d-b936bb8cd6f4", + "metadata": {}, + "source": [ + "`(3) API Keys`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "78e8ecbd-7ba1-4a2d-8ad5-4ce59e164d23", + "metadata": {}, + "outputs": [], + "source": [ + "os.environ['OPENAI_API_KEY'] = " + ] + }, + { + "attachments": { + "b6699c4f-6188-4e0e-8ba4-21582dbca9ef.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "45fd9558-c53f-4a6c-80f0-c31b3bfd55de", + "metadata": {}, + "source": [ + "## Part 10: Logical and Semantic routing \n", + "\n", + "Use function-calling for classification.\n", + "\n", + "Flow: \n", + "\n", + "![Screenshot 2024-03-15 at 3.29.30 PM.png](attachment:b6699c4f-6188-4e0e-8ba4-21582dbca9ef.png)\n", + "\n", + "Docs:\n", + "\n", + "https://python.langchain.com/docs/use_cases/query_analysis/techniques/routing#routing-to-multiple-indexes" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "04c2cf60-d636-4992-a021-1236f7688999", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/rlm/miniforge3/envs/llama2/lib/python3.11/site-packages/langchain_core/_api/beta_decorator.py:86: LangChainBetaWarning: The function `with_structured_output` is in beta. It is actively being worked on, so the API may change.\n", + " warn_beta(\n" + ] + } + ], + "source": [ + "from typing import Literal\n", + "\n", + "from langchain_core.prompts import ChatPromptTemplate\n", + "from langchain_core.pydantic_v1 import BaseModel, Field\n", + "from langchain_openai import ChatOpenAI\n", + "\n", + "# Data model\n", + "class RouteQuery(BaseModel):\n", + " \"\"\"Route a user query to the most relevant datasource.\"\"\"\n", + "\n", + " datasource: Literal[\"python_docs\", \"js_docs\", \"golang_docs\"] = Field(\n", + " ...,\n", + " description=\"Given a user question choose which datasource would be most relevant for answering their question\",\n", + " )\n", + "\n", + "# LLM with function call \n", + "llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n", + "structured_llm = llm.with_structured_output(RouteQuery)\n", + "\n", + "# Prompt \n", + "system = \"\"\"You are an expert at routing a user question to the appropriate data source.\n", + "\n", + "Based on the programming language the question is referring to, route it to the relevant data source.\"\"\"\n", + "\n", + "prompt = ChatPromptTemplate.from_messages(\n", + " [\n", + " (\"system\", system),\n", + " (\"human\", \"{question}\"),\n", + " ]\n", + ")\n", + "\n", + "# Define router \n", + "router = prompt | structured_llm" + ] + }, + { + "attachments": { + "1c7e2e9e-e85f-490f-9591-883a4070bdb2.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "1cb5aaa3-7826-471c-9203-390009cbb4d6", + "metadata": {}, + "source": [ + "Note: we used function calling to produce structured output.\n", + "\n", + "![Screenshot 2024-03-16 at 12.38.23 PM.png](attachment:1c7e2e9e-e85f-490f-9591-883a4070bdb2.png)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cfc6febc-93df-49b4-9920-c93589ba021e", + "metadata": {}, + "outputs": [], + "source": [ + "question = \"\"\"Why doesn't the following code work:\n", + "\n", + "from langchain_core.prompts import ChatPromptTemplate\n", + "\n", + "prompt = ChatPromptTemplate.from_messages([\"human\", \"speak in {language}\"])\n", + "prompt.invoke(\"french\")\n", + "\"\"\"\n", + "\n", + "result = router.invoke({\"question\": question})" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "277536df-0904-4d99-92bb-652621afbdec", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "RouteQuery(datasource='python_docs')" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "636a43ae-50f3-43a1-a1b7-93266ea13bcd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'python_docs'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result.datasource" + ] + }, + { + "cell_type": "markdown", + "id": "ba569c12-ba1d-4486-a5be-bc8c31a8448c", + "metadata": {}, + "source": [ + "Once we have this, it is trivial to define a branch that uses `result.datasource`\n", + "\n", + "https://python.langchain.com/docs/expression_language/how_to/routing" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "01f15722-35c6-4456-ad1b-06463233db25", + "metadata": {}, + "outputs": [], + "source": [ + "def choose_route(result):\n", + " if \"python_docs\" in result.datasource.lower():\n", + " ### Logic here \n", + " return \"chain for python_docs\"\n", + " elif \"js_docs\" in result.datasource.lower():\n", + " ### Logic here \n", + " return \"chain for js_docs\"\n", + " else:\n", + " ### Logic here \n", + " return \"golang_docs\"\n", + "\n", + "from langchain_core.runnables import RunnableLambda\n", + "\n", + "full_chain = router | RunnableLambda(choose_route)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "6af07b77-0537-4635-87ec-ad8f59d34e9b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'chain for python_docs'" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "full_chain.invoke({\"question\": question})" + ] + }, + { + "cell_type": "markdown", + "id": "0afc28c6-6bb6-4869-8c4e-e81dd28c69fd", + "metadata": {}, + "source": [ + "Trace:\n", + "\n", + "https://smith.langchain.com/public/c2ca61b4-3810-45d0-a156-3d6a73e9ee2a/r" + ] + }, + { + "attachments": { + "77626ada-cabe-4ecb-a8eb-22992883c5dc.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "cb1db843-95f4-4abd-8d4c-4a41f0910949", + "metadata": {}, + "source": [ + "### Semantic routing\n", + "\n", + "Flow:\n", + "\n", + "![Screenshot 2024-03-15 at 3.30.08 PM.png](attachment:77626ada-cabe-4ecb-a8eb-22992883c5dc.png)\n", + "\n", + "Docs:\n", + "\n", + "https://python.langchain.com/docs/expression_language/cookbook/embedding_router" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "53cbfa72-c35a-4d1d-aa6d-08a570ab2170", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using PHYSICS\n", + "A black hole is a region in space where the gravitational pull is so strong that nothing, not even light, can escape from it. It is formed when a massive star collapses in on itself. The boundary surrounding a black hole is called the event horizon. Beyond the event horizon, the gravitational pull is so intense that even time and space are distorted. Black holes are some of the most mysterious and fascinating objects in the universe.\n" + ] + } + ], + "source": [ + "from langchain.utils.math import cosine_similarity\n", + "from langchain_core.output_parsers import StrOutputParser\n", + "from langchain_core.prompts import PromptTemplate\n", + "from langchain_core.runnables import RunnableLambda, RunnablePassthrough\n", + "from langchain_openai import ChatOpenAI, OpenAIEmbeddings\n", + "\n", + "# Two prompts\n", + "physics_template = \"\"\"You are a very smart physics professor. \\\n", + "You are great at answering questions about physics in a concise and easy to understand manner. \\\n", + "When you don't know the answer to a question you admit that you don't know.\n", + "\n", + "Here is a question:\n", + "{query}\"\"\"\n", + "\n", + "math_template = \"\"\"You are a very good mathematician. You are great at answering math questions. \\\n", + "You are so good because you are able to break down hard problems into their component parts, \\\n", + "answer the component parts, and then put them together to answer the broader question.\n", + "\n", + "Here is a question:\n", + "{query}\"\"\"\n", + "\n", + "# Embed prompts\n", + "embeddings = OpenAIEmbeddings()\n", + "prompt_templates = [physics_template, math_template]\n", + "prompt_embeddings = embeddings.embed_documents(prompt_templates)\n", + "\n", + "# Route question to prompt \n", + "def prompt_router(input):\n", + " # Embed question\n", + " query_embedding = embeddings.embed_query(input[\"query\"])\n", + " # Compute similarity\n", + " similarity = cosine_similarity([query_embedding], prompt_embeddings)[0]\n", + " most_similar = prompt_templates[similarity.argmax()]\n", + " # Chosen prompt \n", + " print(\"Using MATH\" if most_similar == math_template else \"Using PHYSICS\")\n", + " return PromptTemplate.from_template(most_similar)\n", + "\n", + "\n", + "chain = (\n", + " {\"query\": RunnablePassthrough()}\n", + " | RunnableLambda(prompt_router)\n", + " | ChatOpenAI()\n", + " | StrOutputParser()\n", + ")\n", + "\n", + "print(chain.invoke(\"What's a black hole\"))" + ] + }, + { + "cell_type": "markdown", + "id": "e40eb434-97e2-497d-8241-914941594ffe", + "metadata": {}, + "source": [ + "Trace: \n", + "\n", + "https://smith.langchain.com/public/98c25405-2631-4de8-b12a-1891aded3359/r" + ] + }, + { + "attachments": { + "25eea077-2a6a-4787-ad6c-fa6ba8e0f9c1.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "9e93d04a-513e-435b-8e09-8df5d4976690", + "metadata": {}, + "source": [ + "# Rag From Scratch: Query Construction\n", + "\n", + "![Screenshot 2024-03-25 at 8.20.28 PM.png](attachment:25eea077-2a6a-4787-ad6c-fa6ba8e0f9c1.png)\n", + "\n", + "For graph and SQL, see helpful resources:\n", + "\n", + "https://blog.langchain.dev/query-construction/\n", + "\n", + "https://blog.langchain.dev/enhancing-rag-based-applications-accuracy-by-constructing-and-leveraging-knowledge-graphs/" + ] + }, + { + "attachments": { + "3d933538-e73d-4922-8fe6-dbd2fc2cf2f5.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "e93d3516-3f77-4548-b55f-5db4d7c9fbbb", + "metadata": {}, + "source": [ + "## Part 11: Query structuring for metadata filters\n", + "\n", + "Flow:\n", + "\n", + "![Screenshot 2024-03-16 at 1.12.10 PM.png](attachment:3d933538-e73d-4922-8fe6-dbd2fc2cf2f5.png)\n", + "\n", + "Many vectorstores contain metadata fields. \n", + "\n", + "This makes it possible to filter for specific chunks based on metadata.\n", + "\n", + "Let's look at some example metadata we might see in a database of YouTube transcripts.\n", + "\n", + "Docs:\n", + "\n", + "https://python.langchain.com/docs/use_cases/query_analysis/techniques/structuring" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "b22eb666-a6c2-4b3f-81dd-93ece81f035d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'source': 'pbAd8O1Lvm4',\n", + " 'title': 'Self-reflective RAG with LangGraph: Self-RAG and CRAG',\n", + " 'description': 'Unknown',\n", + " 'view_count': 11922,\n", + " 'thumbnail_url': 'https://i.ytimg.com/vi/pbAd8O1Lvm4/hq720.jpg',\n", + " 'publish_date': '2024-02-07 00:00:00',\n", + " 'length': 1058,\n", + " 'author': 'LangChain'}" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from langchain_community.document_loaders import YoutubeLoader\n", + "\n", + "docs = YoutubeLoader.from_youtube_url(\n", + " \"https://www.youtube.com/watch?v=pbAd8O1Lvm4\", add_video_info=True\n", + ").load()\n", + "\n", + "docs[0].metadata" + ] + }, + { + "cell_type": "markdown", + "id": "53767f87-f38d-4f16-9b3b-b83ce4657f03", + "metadata": {}, + "source": [ + "Let’s assume we’ve built an index that:\n", + "\n", + "1. Allows us to perform unstructured search over the `contents` and `title` of each document\n", + "2. And to use range filtering on `view count`, `publication date`, and `length`.\n", + "\n", + "We want to convert natural langugae into structured search queries.\n", + "\n", + "We can define a schema for structured search queries." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "7731745b-accc-4cf1-8291-e12d1aa46361", + "metadata": {}, + "outputs": [], + "source": [ + "import datetime\n", + "from typing import Literal, Optional, Tuple\n", + "from langchain_core.pydantic_v1 import BaseModel, Field\n", + "\n", + "class TutorialSearch(BaseModel):\n", + " \"\"\"Search over a database of tutorial videos about a software library.\"\"\"\n", + "\n", + " content_search: str = Field(\n", + " ...,\n", + " description=\"Similarity search query applied to video transcripts.\",\n", + " )\n", + " title_search: str = Field(\n", + " ...,\n", + " description=(\n", + " \"Alternate version of the content search query to apply to video titles. \"\n", + " \"Should be succinct and only include key words that could be in a video \"\n", + " \"title.\"\n", + " ),\n", + " )\n", + " min_view_count: Optional[int] = Field(\n", + " None,\n", + " description=\"Minimum view count filter, inclusive. Only use if explicitly specified.\",\n", + " )\n", + " max_view_count: Optional[int] = Field(\n", + " None,\n", + " description=\"Maximum view count filter, exclusive. Only use if explicitly specified.\",\n", + " )\n", + " earliest_publish_date: Optional[datetime.date] = Field(\n", + " None,\n", + " description=\"Earliest publish date filter, inclusive. Only use if explicitly specified.\",\n", + " )\n", + " latest_publish_date: Optional[datetime.date] = Field(\n", + " None,\n", + " description=\"Latest publish date filter, exclusive. Only use if explicitly specified.\",\n", + " )\n", + " min_length_sec: Optional[int] = Field(\n", + " None,\n", + " description=\"Minimum video length in seconds, inclusive. Only use if explicitly specified.\",\n", + " )\n", + " max_length_sec: Optional[int] = Field(\n", + " None,\n", + " description=\"Maximum video length in seconds, exclusive. Only use if explicitly specified.\",\n", + " )\n", + "\n", + " def pretty_print(self) -> None:\n", + " for field in self.__fields__:\n", + " if getattr(self, field) is not None and getattr(self, field) != getattr(\n", + " self.__fields__[field], \"default\", None\n", + " ):\n", + " print(f\"{field}: {getattr(self, field)}\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "6054bc98-0ae1-45e6-8f06-22c65ec47180", + "metadata": {}, + "source": [ + "Now, we prompt the LLM to produce queries." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "f699d9e7-468e-4574-bdba-f4be4a5779de", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_core.prompts import ChatPromptTemplate\n", + "from langchain_openai import ChatOpenAI\n", + "\n", + "system = \"\"\"You are an expert at converting user questions into database queries. \\\n", + "You have access to a database of tutorial videos about a software library for building LLM-powered applications. \\\n", + "Given a question, return a database query optimized to retrieve the most relevant results.\n", + "\n", + "If there are acronyms or words you are not familiar with, do not try to rephrase them.\"\"\"\n", + "prompt = ChatPromptTemplate.from_messages(\n", + " [\n", + " (\"system\", system),\n", + " (\"human\", \"{question}\"),\n", + " ]\n", + ")\n", + "llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n", + "structured_llm = llm.with_structured_output(TutorialSearch)\n", + "query_analyzer = prompt | structured_llm" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "1b776858-a589-4fe5-a8a3-19530706075d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "content_search: rag from scratch\n", + "title_search: rag from scratch\n" + ] + } + ], + "source": [ + "query_analyzer.invoke({\"question\": \"rag from scratch\"}).pretty_print()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "65bfad12-1985-433e-a980-eb8c9da53f72", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "content_search: chat langchain\n", + "title_search: 2023\n", + "earliest_publish_date: 2023-01-01\n", + "latest_publish_date: 2024-01-01\n" + ] + } + ], + "source": [ + "query_analyzer.invoke(\n", + " {\"question\": \"videos on chat langchain published in 2023\"}\n", + ").pretty_print()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "99643372-01cc-49cc-a507-bebbed096247", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "content_search: chat langchain\n", + "title_search: chat langchain\n", + "earliest_publish_date: 2024-01-01\n" + ] + } + ], + "source": [ + "query_analyzer.invoke(\n", + " {\"question\": \"videos that are focused on the topic of chat langchain that are published before 2024\"}\n", + ").pretty_print()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "c26f2329-d091-4a47-995a-822e3f062ea1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "content_search: multi-modal models agent\n", + "title_search: multi-modal models agent\n", + "max_length_sec: 300\n" + ] + } + ], + "source": [ + "query_analyzer.invoke(\n", + " {\n", + " \"question\": \"how to use multi-modal models in an agent, only videos under 5 minutes\"\n", + " }\n", + ").pretty_print()" + ] + }, + { + "cell_type": "markdown", + "id": "90111ec1-784f-4b8c-bd91-6122edb7eb25", + "metadata": {}, + "source": [ + "To then connect this to various vectorstores, you can follow [here](https://python.langchain.com/docs/modules/data_connection/retrievers/self_query#constructing-from-scratch-with-lcel)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d62d7164-7949-4369-80ae-b6bd1b2a08ea", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_12_to_14.ipynb b/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_12_to_14.ipynb new file mode 100644 index 0000000..26c65f7 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_12_to_14.ipynb @@ -0,0 +1,690 @@ +{ + "cells": [ + { + "attachments": { + "79718808-a305-4a64-8881-086508277324.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "4658481a-f484-4d44-a742-52504306561a", + "metadata": {}, + "source": [ + "# Rag From Scratch: Indexing\n", + "\n", + "![Screenshot 2024-03-25 at 8.23.02 PM.png](attachment:79718808-a305-4a64-8881-086508277324.png)\n", + "\n", + "## Preface: Chunking\n", + "\n", + "We don't explicity cover document chunking / splitting.\n", + "\n", + "For an excellent review of document chunking, see this video from Greg Kamradt:\n", + "\n", + "https://www.youtube.com/watch?v=8OJC21T2SL4\n", + "\n", + "## Enviornment\n", + "\n", + "`(1) Packages`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fa888bd9-5ad3-40b4-aa88-375d46c13046", + "metadata": {}, + "outputs": [], + "source": [ + "! pip install langchain_community tiktoken langchain-openai langchainhub chromadb langchain youtube-transcript-api pytube" + ] + }, + { + "cell_type": "markdown", + "id": "d5822dc8-2e24-4ca3-9bd5-0377633c45d8", + "metadata": {}, + "source": [ + "`(2) LangSmith`\n", + "\n", + "https://docs.smith.langchain.com/" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6098b8bf-354d-4eea-ba25-25fe12ba6b6b", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.environ['LANGCHAIN_TRACING_V2'] = 'true'\n", + "os.environ['LANGCHAIN_ENDPOINT'] = 'https://api.smith.langchain.com'\n", + "os.environ['LANGCHAIN_API_KEY'] = " + ] + }, + { + "cell_type": "markdown", + "id": "afbd20f1-af47-409e-bfbf-3a698b310e7e", + "metadata": {}, + "source": [ + "`(3) API Keys`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d966f427-1a9f-4bc8-b1fa-5df6078b1df6", + "metadata": {}, + "outputs": [], + "source": [ + "os.environ['OPENAI_API_KEY'] = " + ] + }, + { + "attachments": { + "3eee1e62-6f49-4ca5-9d9b-16df2b6ffe06.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "c574333e-6a0d-4f4e-8897-783cd71bdcc2", + "metadata": {}, + "source": [ + "## Part 12: Multi-representation Indexing\n", + "\n", + "Flow: \n", + "\n", + " ![Screenshot 2024-03-16 at 5.54.55 PM.png](attachment:3eee1e62-6f49-4ca5-9d9b-16df2b6ffe06.png)\n", + "\n", + "Docs:\n", + "\n", + "https://blog.langchain.dev/semi-structured-multi-modal-rag/\n", + "\n", + "https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector\n", + "\n", + "Paper:\n", + "\n", + "https://arxiv.org/abs/2312.06648" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "1bf368e7-ebf6-4469-bfa7-62466184afbb", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_community.document_loaders import WebBaseLoader\n", + "from langchain_text_splitters import RecursiveCharacterTextSplitter\n", + "\n", + "loader = WebBaseLoader(\"https://lilianweng.github.io/posts/2023-06-23-agent/\")\n", + "docs = loader.load()\n", + "\n", + "loader = WebBaseLoader(\"https://lilianweng.github.io/posts/2024-02-05-human-data-quality/\")\n", + "docs.extend(loader.load())" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "431c9506-c6c0-463b-af77-9291a63f1d26", + "metadata": {}, + "outputs": [], + "source": [ + "import uuid\n", + "\n", + "from langchain_core.documents import Document\n", + "from langchain_core.output_parsers import StrOutputParser\n", + "from langchain_core.prompts import ChatPromptTemplate\n", + "from langchain_openai import ChatOpenAI\n", + "\n", + "chain = (\n", + " {\"doc\": lambda x: x.page_content}\n", + " | ChatPromptTemplate.from_template(\"Summarize the following document:\\n\\n{doc}\")\n", + " | ChatOpenAI(model=\"gpt-3.5-turbo\",max_retries=0)\n", + " | StrOutputParser()\n", + ")\n", + "\n", + "summaries = chain.batch(docs, {\"max_concurrency\": 5})" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "dc5614c1-121c-4ad5-8609-cc0e4a633ee9", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain.storage import InMemoryByteStore\n", + "from langchain_openai import OpenAIEmbeddings\n", + "from langchain_community.vectorstores import Chroma\n", + "from langchain.retrievers.multi_vector import MultiVectorRetriever\n", + "\n", + "# The vectorstore to use to index the child chunks\n", + "vectorstore = Chroma(collection_name=\"summaries\",\n", + " embedding_function=OpenAIEmbeddings())\n", + "\n", + "# The storage layer for the parent documents\n", + "store = InMemoryByteStore()\n", + "id_key = \"doc_id\"\n", + "\n", + "# The retriever\n", + "retriever = MultiVectorRetriever(\n", + " vectorstore=vectorstore,\n", + " byte_store=store,\n", + " id_key=id_key,\n", + ")\n", + "doc_ids = [str(uuid.uuid4()) for _ in docs]\n", + "\n", + "# Docs linked to summaries\n", + "summary_docs = [\n", + " Document(page_content=s, metadata={id_key: doc_ids[i]})\n", + " for i, s in enumerate(summaries)\n", + "]\n", + "\n", + "# Add\n", + "retriever.vectorstore.add_documents(summary_docs)\n", + "retriever.docstore.mset(list(zip(doc_ids, docs)))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "f111ca83-3e56-4785-bac3-99948cd8df1b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Document(page_content='The document discusses the concept of building autonomous agents powered by Large Language Models (LLMs) as their core controllers. It covers components such as planning, memory, and tool use, along with case studies and proof-of-concept examples like AutoGPT and GPT-Engineer. Challenges like finite context length, planning difficulties, and reliability of natural language interfaces are also highlighted. The document provides references to related research papers and offers a comprehensive overview of LLM-powered autonomous agents.', metadata={'doc_id': 'cf31524b-fe6a-4b28-a980-f5687c9460ea'})" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "query = \"Memory in agents\"\n", + "sub_docs = vectorstore.similarity_search(query,k=1)\n", + "sub_docs[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "729074f9-8bde-4c76-a7da-4cc0e50ed52d", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Number of requested results 4 is greater than number of elements in index 2, updating n_results = 2\n" + ] + }, + { + "data": { + "text/plain": [ + "\"\\n\\n\\n\\n\\n\\nLLM Powered Autonomous Agents | Lil'Log\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\nLil'Log\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\nPosts\\n\\n\\n\\n\\nArchive\\n\\n\\n\\n\\nSearch\\n\\n\\n\\n\\nTags\\n\\n\\n\\n\\nFAQ\\n\\n\\n\\n\\nemojisearch.app\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n LLM Powered Autonomous Agents\\n \\nDate: June 23, 2023 | Estimated Reading Time: 31 min | Author: Lilian Weng\\n\\n\\n \\n\\n\\nTable of Contents\\n\\n\\n\\nAgent System Overview\\n\\nComponent One: Planning\\n\\nTask Decomposition\\n\\nSelf-Reflection\\n\\n\\nComponent Two: Memory\\n\\nTypes of Memory\\n\\nMaximum Inner Product Search (MIPS)\\n\\n\"" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "retrieved_docs = retriever.get_relevant_documents(query,n_results=1)\n", + "retrieved_docs[0].page_content[0:500]" + ] + }, + { + "cell_type": "markdown", + "id": "a52d8214-a997-4761-a8a3-0a29109410be", + "metadata": {}, + "source": [ + "Related idea is the [parent document retriever](https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever)." + ] + }, + { + "attachments": { + "5ccfe50d-d22e-402b-86f6-b3afb0f06088.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "10e04037-03c6-49c4-8d14-ad35650fc654", + "metadata": {}, + "source": [ + "## Part 13: RAPTOR\n", + "\n", + "Flow:\n", + "\n", + "![Screenshot 2024-03-16 at 6.16.21 PM.png](attachment:5ccfe50d-d22e-402b-86f6-b3afb0f06088.png)\n", + "\n", + "Deep dive video:\n", + "\n", + "https://www.youtube.com/watch?v=jbGchdTL7d0\n", + "\n", + "Paper:\n", + "\n", + "https://arxiv.org/pdf/2401.18059.pdf\n", + "\n", + "Full code:\n", + "\n", + "https://github.com/langchain-ai/langchain/blob/master/cookbook/RAPTOR.ipynb" + ] + }, + { + "cell_type": "markdown", + "id": "d09151ce-aea1-4574-84ab-a72f17bf59b4", + "metadata": {}, + "source": [ + "## Part 14: ColBERT\n", + "\n", + "RAGatouille makes it as simple to use ColBERT. \n", + "\n", + "ColBERT generates a contextually influenced vector for each token in the passages. \n", + "\n", + "ColBERT similarly generates vectors for each token in the query.\n", + "\n", + "Then, the score of each document is the sum of the maximum similarity of each query embedding to any of the document embeddings:\n", + "\n", + "See [here](https://hackernoon.com/how-colbert-helps-developers-overcome-the-limits-of-rag) and [here](https://python.langchain.com/docs/integrations/retrievers/ragatouille) and [here](https://til.simonwillison.net/llms/colbert-ragatouille)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "79676de8-c93c-415a-bd1a-ba64065bae27", + "metadata": {}, + "outputs": [], + "source": [ + "! pip install -U ragatouille" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "96deaaa9-5101-48a5-a93d-b8af0122430f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[Mar 26, 15:26:45] Loading segmented_maxsim_cpp extension (set COLBERT_LOAD_TORCH_EXTENSION_VERBOSE=True for more info)...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/rlm/miniforge3/envs/llama2/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling.\n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "from ragatouille import RAGPretrainedModel\n", + "RAG = RAGPretrainedModel.from_pretrained(\"colbert-ir/colbertv2.0\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "10b9bfc1-5f2b-4b9e-9934-9844e3b60646", + "metadata": {}, + "outputs": [], + "source": [ + "import requests\n", + "\n", + "def get_wikipedia_page(title: str):\n", + " \"\"\"\n", + " Retrieve the full text content of a Wikipedia page.\n", + "\n", + " :param title: str - Title of the Wikipedia page.\n", + " :return: str - Full text content of the page as raw string.\n", + " \"\"\"\n", + " # Wikipedia API endpoint\n", + " URL = \"https://en.wikipedia.org/w/api.php\"\n", + "\n", + " # Parameters for the API request\n", + " params = {\n", + " \"action\": \"query\",\n", + " \"format\": \"json\",\n", + " \"titles\": title,\n", + " \"prop\": \"extracts\",\n", + " \"explaintext\": True,\n", + " }\n", + "\n", + " # Custom User-Agent header to comply with Wikipedia's best practices\n", + " headers = {\"User-Agent\": \"RAGatouille_tutorial/0.0.1 (ben@clavie.eu)\"}\n", + "\n", + " response = requests.get(URL, params=params, headers=headers)\n", + " data = response.json()\n", + "\n", + " # Extracting page content\n", + " page = next(iter(data[\"query\"][\"pages\"].values()))\n", + " return page[\"extract\"] if \"extract\" in page else None\n", + "\n", + "full_document = get_wikipedia_page(\"Hayao_Miyazaki\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "a2317cc1-7406-4115-84c2-d0527a4ad22e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "---- WARNING! You are using PLAID with an experimental replacement for FAISS for greater compatibility ----\n", + "This is a behaviour change from RAGatouille 0.8.0 onwards.\n", + "This works fine for most users and smallish datasets, but can be considerably slower than FAISS and could cause worse results in some situations.\n", + "If you're confident with FAISS working on your machine, pass use_faiss=True to revert to the FAISS-using behaviour.\n", + "--------------------\n", + "\n", + "\n", + "[Mar 26, 15:27:19] #> Note: Output directory .ragatouille/colbert/indexes/Miyazaki-123 already exists\n", + "\n", + "\n", + "[Mar 26, 15:27:19] #> Will delete 10 files already at .ragatouille/colbert/indexes/Miyazaki-123 in 20 seconds...\n", + "[Mar 26, 15:27:40] [0] \t\t #> Encoding 81 passages..\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 0%| | 0/3 [00:00 Saving the indexing plan to .ragatouille/colbert/indexes/Miyazaki-123/plan.json ..\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Warning: number of training points (9995) is less than the minimum recommended (10240)\n", + "used 15 iterations (0.2493s) to cluster 9995 items into 1024 clusters\n", + "[0.037, 0.041, 0.038, 0.034, 0.031, 0.037, 0.034, 0.037, 0.033, 0.034, 0.037, 0.038, 0.035, 0.037, 0.034, 0.04, 0.032, 0.032, 0.034, 0.035, 0.038, 0.039, 0.037, 0.035, 0.039, 0.032, 0.038, 0.032, 0.038, 0.035, 0.036, 0.037, 0.039, 0.033, 0.033, 0.034, 0.035, 0.032, 0.034, 0.04, 0.034, 0.038, 0.037, 0.032, 0.04, 0.035, 0.039, 0.035, 0.036, 0.037, 0.036, 0.036, 0.034, 0.039, 0.037, 0.037, 0.04, 0.038, 0.041, 0.031, 0.035, 0.034, 0.034, 0.033, 0.038, 0.038, 0.036, 0.04, 0.032, 0.032, 0.035, 0.036, 0.034, 0.035, 0.035, 0.032, 0.035, 0.038, 0.038, 0.036, 0.037, 0.039, 0.036, 0.041, 0.034, 0.037, 0.038, 0.037, 0.034, 0.04, 0.035, 0.037, 0.034, 0.035, 0.035, 0.037, 0.038, 0.037, 0.035, 0.036, 0.04, 0.039, 0.033, 0.035, 0.037, 0.035, 0.036, 0.034, 0.037, 0.036, 0.034, 0.037, 0.038, 0.032, 0.037, 0.037, 0.035, 0.036, 0.036, 0.039, 0.036, 0.035, 0.034, 0.033, 0.032, 0.037, 0.038, 0.032]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "0it [00:00, ?it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[Mar 26, 15:27:44] [0] \t\t #> Encoding 81 passages..\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + " 0%| | 0/3 [00:00 Optimizing IVF to store map from centroids to list of pids..\n", + "[Mar 26, 15:27:47] #> Building the emb2pid mapping..\n", + "[Mar 26, 15:27:47] len(emb2pid) = 10521\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "100%|█████████████████████████████████████████████| 1024/1024 [00:00<00:00, 165617.83it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[Mar 26, 15:27:47] #> Saved optimized IVF to .ragatouille/colbert/indexes/Miyazaki-123/ivf.pid.pt\n", + "Done indexing!\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "data": { + "text/plain": [ + "'.ragatouille/colbert/indexes/Miyazaki-123'" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "RAG.index(\n", + " collection=[full_document],\n", + " index_name=\"Miyazaki-123\",\n", + " max_document_length=180,\n", + " split_documents=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "f929e4fd-2175-465d-bd88-664f67caa576", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading searcher for index Miyazaki-123 for the first time... This may take a few seconds\n", + "[Mar 26, 15:28:12] #> Loading codec...\n", + "[Mar 26, 15:28:12] #> Loading IVF...\n", + "[Mar 26, 15:28:12] Loading segmented_lookup_cpp extension (set COLBERT_LOAD_TORCH_EXTENSION_VERBOSE=True for more info)...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/rlm/miniforge3/envs/llama2/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[Mar 26, 15:28:12] #> Loading doclens...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████████████████████████████████████████████████| 1/1 [00:00<00:00, 2646.25it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[Mar 26, 15:28:12] #> Loading codes and residuals...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "100%|██████████████████████████████████████████████████████| 1/1 [00:00<00:00, 388.65it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[Mar 26, 15:28:12] Loading filter_pids_cpp extension (set COLBERT_LOAD_TORCH_EXTENSION_VERBOSE=True for more info)...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[Mar 26, 15:28:12] Loading decompress_residuals_cpp extension (set COLBERT_LOAD_TORCH_EXTENSION_VERBOSE=True for more info)...\n", + "Searcher loaded!\n", + "\n", + "#> QueryTokenizer.tensorize(batch_text[0], batch_background[0], bsize) ==\n", + "#> Input: . What animation studio did Miyazaki found?, \t\t True, \t\t None\n", + "#> Output IDs: torch.Size([32]), tensor([ 101, 1, 2054, 7284, 2996, 2106, 2771, 3148, 18637, 2179,\n", + " 1029, 102, 103, 103, 103, 103, 103, 103, 103, 103,\n", + " 103, 103, 103, 103, 103, 103, 103, 103, 103, 103,\n", + " 103, 103])\n", + "#> Output Mask: torch.Size([32]), tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0])\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/rlm/miniforge3/envs/llama2/lib/python3.11/site-packages/torch/amp/autocast_mode.py:250: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "text/plain": [ + "[{'content': 'In April 1984, Miyazaki opened his own office in Suginami Ward, naming it Nibariki.\\n\\n\\n=== Studio Ghibli ===\\n\\n\\n==== Early films (1985–1996) ====\\nIn June 1985, Miyazaki, Takahata, Tokuma and Suzuki founded the animation production company Studio Ghibli, with funding from Tokuma Shoten. Studio Ghibli\\'s first film, Laputa: Castle in the Sky (1986), employed the same production crew of Nausicaä. Miyazaki\\'s designs for the film\\'s setting were inspired by Greek architecture and \"European urbanistic templates\".',\n", + " 'score': 25.903671264648438,\n", + " 'rank': 1,\n", + " 'document_id': '3a949f61-e976-4fc0-a272-d7bdbe777b21',\n", + " 'passage_id': 28},\n", + " {'content': 'Hayao Miyazaki (宮崎 駿 or 宮﨑 駿, Miyazaki Hayao, Japanese: [mijaꜜzaki hajao]; born January 5, 1941) is a Japanese animator, filmmaker, and manga artist. A co-founder of Studio Ghibli, he has attained international acclaim as a masterful storyteller and creator of Japanese animated feature films, and is widely regarded as one of the most accomplished filmmakers in the history of animation.\\nBorn in Tokyo City in the Empire of Japan, Miyazaki expressed interest in manga and animation from an early age, and he joined Toei Animation in 1963. During his early years at Toei Animation he worked as an in-between artist and later collaborated with director Isao Takahata.',\n", + " 'score': 25.571651458740234,\n", + " 'rank': 2,\n", + " 'document_id': '3a949f61-e976-4fc0-a272-d7bdbe777b21',\n", + " 'passage_id': 0},\n", + " {'content': 'Glen Keane said Miyazaki is a \"huge influence\" on Walt Disney Animation Studios and has been \"part of our heritage\" ever since The Rescuers Down Under (1990). The Disney Renaissance era was also prompted by competition with the development of Miyazaki\\'s films. Artists from Pixar and Aardman Studios signed a tribute stating, \"You\\'re our inspiration, Miyazaki-san!\"',\n", + " 'score': 24.841182708740234,\n", + " 'rank': 3,\n", + " 'document_id': '3a949f61-e976-4fc0-a272-d7bdbe777b21',\n", + " 'passage_id': 76}]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "results = RAG.search(query=\"What animation studio did Miyazaki found?\", k=3)\n", + "results" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "ca1cbbc7-bd6e-488d-9419-740a62eb097a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/rlm/miniforge3/envs/llama2/lib/python3.11/site-packages/torch/amp/autocast_mode.py:250: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "text/plain": [ + "[Document(page_content='In April 1984, Miyazaki opened his own office in Suginami Ward, naming it Nibariki.\\n\\n\\n=== Studio Ghibli ===\\n\\n\\n==== Early films (1985–1996) ====\\nIn June 1985, Miyazaki, Takahata, Tokuma and Suzuki founded the animation production company Studio Ghibli, with funding from Tokuma Shoten. Studio Ghibli\\'s first film, Laputa: Castle in the Sky (1986), employed the same production crew of Nausicaä. Miyazaki\\'s designs for the film\\'s setting were inspired by Greek architecture and \"European urbanistic templates\".'),\n", + " Document(page_content='Hayao Miyazaki (宮崎 駿 or 宮﨑 駿, Miyazaki Hayao, Japanese: [mijaꜜzaki hajao]; born January 5, 1941) is a Japanese animator, filmmaker, and manga artist. A co-founder of Studio Ghibli, he has attained international acclaim as a masterful storyteller and creator of Japanese animated feature films, and is widely regarded as one of the most accomplished filmmakers in the history of animation.\\nBorn in Tokyo City in the Empire of Japan, Miyazaki expressed interest in manga and animation from an early age, and he joined Toei Animation in 1963. During his early years at Toei Animation he worked as an in-between artist and later collaborated with director Isao Takahata.'),\n", + " Document(page_content='Glen Keane said Miyazaki is a \"huge influence\" on Walt Disney Animation Studios and has been \"part of our heritage\" ever since The Rescuers Down Under (1990). The Disney Renaissance era was also prompted by competition with the development of Miyazaki\\'s films. Artists from Pixar and Aardman Studios signed a tribute stating, \"You\\'re our inspiration, Miyazaki-san!\"')]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "retriever = RAG.as_langchain_retriever(k=3)\n", + "retriever.invoke(\"What animation studio did Miyazaki found?\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_15_to_18.ipynb b/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_15_to_18.ipynb new file mode 100644 index 0000000..bf0bdec --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_15_to_18.ipynb @@ -0,0 +1,405 @@ +{ + "cells": [ + { + "attachments": { + "c6ee3569-ca87-49b5-8f2c-21193230f8d4.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "402ae2dc-9c06-4de6-a301-39bcfde04153", + "metadata": {}, + "source": [ + "# Rag From Scratch: Retrieval\n", + "\n", + "![Screenshot 2024-03-25 at 8.23.58 PM.png](attachment:c6ee3569-ca87-49b5-8f2c-21193230f8d4.png)" + ] + }, + { + "cell_type": "markdown", + "id": "a6656c51-25c7-490b-b76c-a506fab8892b", + "metadata": {}, + "source": [ + "## Enviornment\n", + "\n", + "`(1) Packages`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "971b8eb2-54ca-4b16-b046-079d526b406e", + "metadata": {}, + "outputs": [], + "source": [ + "! pip install langchain_community tiktoken langchain-openai langchainhub chromadb langchain cohere" + ] + }, + { + "cell_type": "markdown", + "id": "31c1229f-ef70-4940-8147-7c21bfc58fbf", + "metadata": {}, + "source": [ + "`(2) LangSmith`\n", + "\n", + "https://docs.smith.langchain.com/" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a66c5fd1-8da9-416f-b854-1b70d207d606", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.environ['LANGCHAIN_TRACING_V2'] = 'true'\n", + "os.environ['LANGCHAIN_ENDPOINT'] = 'https://api.smith.langchain.com'\n", + "os.environ['LANGCHAIN_API_KEY'] = " + ] + }, + { + "cell_type": "markdown", + "id": "47a210bd-3869-401b-8157-e4a9c0711359", + "metadata": {}, + "source": [ + "`(3) API Keys`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aeb22812-822d-4320-be3c-ab0c52356914", + "metadata": {}, + "outputs": [], + "source": [ + "os.environ['OPENAI_API_KEY'] = \n", + "os.environ['COHERE_API_KEY'] = " + ] + }, + { + "attachments": { + "f0d70de3-4427-4849-a35f-92ab0e5e91cf.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "a0ae5a7f-7c07-4825-b53b-4ac632b8eac6", + "metadata": {}, + "source": [ + "## Part 15: Re-ranking\n", + "\n", + "We showed this previously with RAG-fusion.\n", + "\n", + "![Screenshot 2024-03-25 at 2.59.21 PM.png](attachment:f0d70de3-4427-4849-a35f-92ab0e5e91cf.png)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "f201eec1-6ed0-4236-9594-286894574779", + "metadata": {}, + "outputs": [], + "source": [ + "#### INDEXING ####\n", + "\n", + "# Load blog\n", + "import bs4\n", + "from langchain_community.document_loaders import WebBaseLoader\n", + "loader = WebBaseLoader(\n", + " web_paths=(\"https://lilianweng.github.io/posts/2023-06-23-agent/\",),\n", + " bs_kwargs=dict(\n", + " parse_only=bs4.SoupStrainer(\n", + " class_=(\"post-content\", \"post-title\", \"post-header\")\n", + " )\n", + " ),\n", + ")\n", + "blog_docs = loader.load()\n", + "\n", + "# Split\n", + "from langchain.text_splitter import RecursiveCharacterTextSplitter\n", + "text_splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder(\n", + " chunk_size=300, \n", + " chunk_overlap=50)\n", + "\n", + "# Make splits\n", + "splits = text_splitter.split_documents(blog_docs)\n", + "\n", + "# Index\n", + "from langchain_openai import OpenAIEmbeddings\n", + "# from langchain_cohere import CohereEmbeddings\n", + "from langchain_community.vectorstores import Chroma\n", + "vectorstore = Chroma.from_documents(documents=splits, \n", + " # embedding=CohereEmbeddings()\n", + " embedding=OpenAIEmbeddings())\n", + "\n", + "\n", + "retriever = vectorstore.as_retriever()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b733a230-d217-4ee0-8482-ab4380e7be4f", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain.prompts import ChatPromptTemplate\n", + "\n", + "# RAG-Fusion\n", + "template = \"\"\"You are a helpful assistant that generates multiple search queries based on a single input query. \\n\n", + "Generate multiple search queries related to: {question} \\n\n", + "Output (4 queries):\"\"\"\n", + "prompt_rag_fusion = ChatPromptTemplate.from_template(template)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "6e37bc5d-93fc-4b34-8a4d-208394e89709", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_core.output_parsers import StrOutputParser\n", + "from langchain_openai import ChatOpenAI\n", + "\n", + "generate_queries = (\n", + " prompt_rag_fusion \n", + " | ChatOpenAI(temperature=0)\n", + " | StrOutputParser() \n", + " | (lambda x: x.split(\"\\n\"))\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "728fedac-7f1d-49aa-9d02-47243c0f2bb4", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/rlm/miniforge3/envs/llama2/lib/python3.11/site-packages/langchain_core/_api/beta_decorator.py:86: LangChainBetaWarning: The function `loads` is in beta. It is actively being worked on, so the API may change.\n", + " warn_beta(\n" + ] + }, + { + "data": { + "text/plain": [ + "7" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from langchain.load import dumps, loads\n", + "\n", + "def reciprocal_rank_fusion(results: list[list], k=60):\n", + " \"\"\" Reciprocal_rank_fusion that takes multiple lists of ranked documents \n", + " and an optional parameter k used in the RRF formula \"\"\"\n", + " \n", + " # Initialize a dictionary to hold fused scores for each unique document\n", + " fused_scores = {}\n", + "\n", + " # Iterate through each list of ranked documents\n", + " for docs in results:\n", + " # Iterate through each document in the list, with its rank (position in the list)\n", + " for rank, doc in enumerate(docs):\n", + " # Convert the document to a string format to use as a key (assumes documents can be serialized to JSON)\n", + " doc_str = dumps(doc)\n", + " # If the document is not yet in the fused_scores dictionary, add it with an initial score of 0\n", + " if doc_str not in fused_scores:\n", + " fused_scores[doc_str] = 0\n", + " # Retrieve the current score of the document, if any\n", + " previous_score = fused_scores[doc_str]\n", + " # Update the score of the document using the RRF formula: 1 / (rank + k)\n", + " fused_scores[doc_str] += 1 / (rank + k)\n", + "\n", + " # Sort the documents based on their fused scores in descending order to get the final reranked results\n", + " reranked_results = [\n", + " (loads(doc), score)\n", + " for doc, score in sorted(fused_scores.items(), key=lambda x: x[1], reverse=True)\n", + " ]\n", + "\n", + " # Return the reranked results as a list of tuples, each containing the document and its fused score\n", + " return reranked_results\n", + "\n", + "question = \"What is task decomposition for LLM agents?\"\n", + "retrieval_chain_rag_fusion = generate_queries | retriever.map() | reciprocal_rank_fusion\n", + "docs = retrieval_chain_rag_fusion.invoke({\"question\": question})\n", + "len(docs)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "ee43bb94-613d-46a3-b688-02c2d2aadfba", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Task decomposition for LLM agents involves breaking down large tasks into smaller, manageable subgoals. This enables the agent to efficiently handle complex tasks by dividing them into smaller and simpler steps. Task decomposition can be achieved through techniques like Chain of Thought (CoT) and Tree of Thoughts, which prompt the model to think step by step and explore multiple reasoning possibilities at each step. Additionally, task decomposition can be done using simple prompting, task-specific instructions, or with human inputs.'" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from operator import itemgetter\n", + "from langchain_core.runnables import RunnablePassthrough\n", + "\n", + "# RAG\n", + "template = \"\"\"Answer the following question based on this context:\n", + "\n", + "{context}\n", + "\n", + "Question: {question}\n", + "\"\"\"\n", + "\n", + "prompt = ChatPromptTemplate.from_template(template)\n", + "\n", + "llm = ChatOpenAI(temperature=0)\n", + "\n", + "final_rag_chain = (\n", + " {\"context\": retrieval_chain_rag_fusion, \n", + " \"question\": itemgetter(\"question\")} \n", + " | prompt\n", + " | llm\n", + " | StrOutputParser()\n", + ")\n", + "\n", + "final_rag_chain.invoke({\"question\":question})" + ] + }, + { + "attachments": { + "f46d29d0-e1a2-4c09-8b65-d7f5b675209d.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "a70968aa-52e8-41b9-96f1-7d811351512e", + "metadata": {}, + "source": [ + "We can also use [Cohere Re-Rank](https://python.langchain.com/docs/integrations/retrievers/cohere-reranker#doing-reranking-with-coherererank). \n", + "\n", + "See [here](https://txt.cohere.com/rerank/):\n", + "\n", + "![data-src-image-387e0861-93de-4823-84e0-7ae04f2be893.png](attachment:f46d29d0-e1a2-4c09-8b65-d7f5b675209d.png)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9bdd18dd-2e6d-428d-aacb-a539a94064ba", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_community.llms import Cohere\n", + "from langchain.retrievers import ContextualCompressionRetriever\n", + "from langchain.retrievers.document_compressors import CohereRerank" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "b88e1ad8-57eb-40d4-8475-a50775a692b0", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain.retrievers.document_compressors import CohereRerank\n", + "\n", + "retriever = vectorstore.as_retriever(search_kwargs={\"k\": 10})\n", + "\n", + "# Re-rank\n", + "compressor = CohereRerank()\n", + "compression_retriever = ContextualCompressionRetriever(\n", + " base_compressor=compressor, base_retriever=retriever\n", + ")\n", + "\n", + "compressed_docs = compression_retriever.get_relevant_documents(question)" + ] + }, + { + "cell_type": "markdown", + "id": "97b2c3ff-60df-4a68-9516-f4577ed320a4", + "metadata": {}, + "source": [ + "## 16 - Retrieval (CRAG)\n", + "\n", + "`Deep Dive`\n", + "\n", + "https://www.youtube.com/watch?v=E2shqsYwxck\n", + "\n", + "`Notebooks`\n", + "\n", + "https://github.com/langchain-ai/langgraph/blob/main/examples/rag/langgraph_crag.ipynb\n", + "\n", + "https://github.com/langchain-ai/langgraph/blob/main/examples/rag/langgraph_crag_mistral.ipynb" + ] + }, + { + "cell_type": "markdown", + "id": "0d5bfc7f-5f21-43a3-a149-14256860d0f1", + "metadata": {}, + "source": [ + "# Generation\n", + "\n", + "\n", + "\n", + "## 17 - Retrieval (Self-RAG)\n", + " \n", + "`Notebooks`\n", + "\n", + "https://github.com/langchain-ai/langgraph/tree/main/examples/rag\n", + "\n", + "https://github.com/langchain-ai/langgraph/blob/main/examples/rag/langgraph_self_rag_mistral_nomic.ipynb" + ] + }, + { + "cell_type": "markdown", + "id": "48f233df-b2a3-438c-8d65-5e83bf6ace64", + "metadata": {}, + "source": [ + "## 18 - Impact of long context \n", + "\n", + "`Deep dive`\n", + "\n", + "https://www.youtube.com/watch?v=SsHUNfhF32s\n", + "\n", + "`Slides`\n", + "\n", + "https://docs.google.com/presentation/d/1mJUiPBdtf58NfuSEQ7pVSEQ2Oqmek7F1i4gBwR6JDss/edit#slide=id.g26c0cb8dc66_0_0" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_1_to_4.ipynb b/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_1_to_4.ipynb new file mode 100644 index 0000000..85f91e2 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_1_to_4.ipynb @@ -0,0 +1,527 @@ +{ + "cells": [ + { + "attachments": { + "c566957c-a8ef-41a9-9b78-e089d35cf0b7.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "41ce62a8-251f-4f9e-b375-e93a5861c3fe", + "metadata": {}, + "source": [ + "# Rag From Scratch: Overview\n", + "\n", + "These notebooks walk through the process of building RAG app(s) from scratch.\n", + "\n", + "They will build towards a broader understanding of the RAG langscape, as shown here:\n", + "\n", + "![Screenshot 2024-03-25 at 8.30.33 PM.png](attachment:c566957c-a8ef-41a9-9b78-e089d35cf0b7.png)\n", + "\n", + "## Enviornment\n", + "\n", + "`(1) Packages`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3a88555a-53a5-4ab8-ba3d-e6dd3a26c71a", + "metadata": {}, + "outputs": [], + "source": [ + "! pip install langchain_community tiktoken langchain-openai langchainhub chromadb langchain" + ] + }, + { + "cell_type": "markdown", + "id": "75a8ab66-8477-429f-bbbe-ba439322d085", + "metadata": {}, + "source": [ + "`(2) LangSmith`\n", + "\n", + "https://docs.smith.langchain.com/" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b76f68a8-4745-4377-8057-6090b87377d1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.environ['LANGCHAIN_TRACING_V2'] = 'true'\n", + "os.environ['LANGCHAIN_ENDPOINT'] = 'https://api.smith.langchain.com'\n", + "os.environ['LANGCHAIN_API_KEY'] = " + ] + }, + { + "cell_type": "markdown", + "id": "f8eb312d-8a07-4df3-8462-72ac526715f7", + "metadata": {}, + "source": [ + "`(3) API Keys`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "df28175e-24b6-4939-8a3c-5a1f9511f51e", + "metadata": {}, + "outputs": [], + "source": [ + "os.environ['OPENAI_API_KEY'] = " + ] + }, + { + "cell_type": "markdown", + "id": "1eae0ab7-d43b-43e0-8b99-6122a636fe0c", + "metadata": {}, + "source": [ + "## Part 1: Overview\n", + " \n", + "[RAG quickstart](https://python.langchain.com/docs/use_cases/question_answering/quickstart)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "98070313-0c2f-4ba6-ae3e-79e2418ce4df", + "metadata": {}, + "outputs": [], + "source": [ + "import bs4\n", + "from langchain import hub\n", + "from langchain.text_splitter import RecursiveCharacterTextSplitter\n", + "from langchain_community.document_loaders import WebBaseLoader\n", + "from langchain_community.vectorstores import Chroma\n", + "from langchain_core.output_parsers import StrOutputParser\n", + "from langchain_core.runnables import RunnablePassthrough\n", + "from langchain_openai import ChatOpenAI, OpenAIEmbeddings\n", + "\n", + "#### INDEXING ####\n", + "\n", + "# Load Documents\n", + "loader = WebBaseLoader(\n", + " web_paths=(\"https://lilianweng.github.io/posts/2023-06-23-agent/\",),\n", + " bs_kwargs=dict(\n", + " parse_only=bs4.SoupStrainer(\n", + " class_=(\"post-content\", \"post-title\", \"post-header\")\n", + " )\n", + " ),\n", + ")\n", + "docs = loader.load()\n", + "\n", + "# Split\n", + "text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)\n", + "splits = text_splitter.split_documents(docs)\n", + "\n", + "# Embed\n", + "vectorstore = Chroma.from_documents(documents=splits, \n", + " embedding=OpenAIEmbeddings())\n", + "\n", + "retriever = vectorstore.as_retriever()\n", + "\n", + "#### RETRIEVAL and GENERATION ####\n", + "\n", + "# Prompt\n", + "prompt = hub.pull(\"rlm/rag-prompt\")\n", + "\n", + "# LLM\n", + "llm = ChatOpenAI(model_name=\"gpt-3.5-turbo\", temperature=0)\n", + "\n", + "# Post-processing\n", + "def format_docs(docs):\n", + " return \"\\n\\n\".join(doc.page_content for doc in docs)\n", + "\n", + "# Chain\n", + "rag_chain = (\n", + " {\"context\": retriever | format_docs, \"question\": RunnablePassthrough()}\n", + " | prompt\n", + " | llm\n", + " | StrOutputParser()\n", + ")\n", + "\n", + "# Question\n", + "rag_chain.invoke(\"What is Task Decomposition?\")" + ] + }, + { + "attachments": { + "d1c0f19e-1f5f-4fc6-a860-16337c1910fa.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "18e8e856-bafd-469e-b99a-11596b18aad4", + "metadata": {}, + "source": [ + "## Part 2: Indexing\n", + "\n", + "![Screenshot 2024-02-12 at 1.36.56 PM.png](attachment:d1c0f19e-1f5f-4fc6-a860-16337c1910fa.png)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "edd7beeb-21fa-4f4b-b8fa-5a4f70489a16", + "metadata": {}, + "outputs": [], + "source": [ + "# Documents\n", + "question = \"What kinds of pets do I like?\"\n", + "document = \"My favorite pet is a cat.\"" + ] + }, + { + "cell_type": "markdown", + "id": "e0552ea4-935d-4dfa-bd2b-56d148e96304", + "metadata": {}, + "source": [ + "[Count tokens](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) considering [~4 char / token](https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "df119cca-1676-4caa-bad4-11805d69e616", + "metadata": {}, + "outputs": [], + "source": [ + "import tiktoken\n", + "\n", + "def num_tokens_from_string(string: str, encoding_name: str) -> int:\n", + " \"\"\"Returns the number of tokens in a text string.\"\"\"\n", + " encoding = tiktoken.get_encoding(encoding_name)\n", + " num_tokens = len(encoding.encode(string))\n", + " return num_tokens\n", + "\n", + "num_tokens_from_string(question, \"cl100k_base\")" + ] + }, + { + "cell_type": "markdown", + "id": "4f04fd74-829f-472c-a1bc-ec6521a0529f", + "metadata": {}, + "source": [ + "[Text embedding models](https://python.langchain.com/docs/integrations/text_embedding/openai)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6bd98786-755d-4d49-ba97-30c5a623b74e", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_openai import OpenAIEmbeddings\n", + "embd = OpenAIEmbeddings()\n", + "query_result = embd.embed_query(question)\n", + "document_result = embd.embed_query(document)\n", + "len(query_result)" + ] + }, + { + "cell_type": "markdown", + "id": "f5e0e35f-6861-4c5e-9301-04fd5408f8f8", + "metadata": {}, + "source": [ + "[Cosine similarity](https://platform.openai.com/docs/guides/embeddings/frequently-asked-questions) is reccomended (1 indicates identical) for OpenAI embeddings." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b8001998-b08c-4560-b124-bfa1fced8958", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "def cosine_similarity(vec1, vec2):\n", + " dot_product = np.dot(vec1, vec2)\n", + " norm_vec1 = np.linalg.norm(vec1)\n", + " norm_vec2 = np.linalg.norm(vec2)\n", + " return dot_product / (norm_vec1 * norm_vec2)\n", + "\n", + "similarity = cosine_similarity(query_result, document_result)\n", + "print(\"Cosine Similarity:\", similarity)" + ] + }, + { + "cell_type": "markdown", + "id": "8aea73bc-98e3-4fdc-ba72-d190736bed20", + "metadata": {}, + "source": [ + "[Document Loaders](https://python.langchain.com/docs/integrations/document_loaders/)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5778c31a-6138-4130-8865-31a08e82b9fb", + "metadata": {}, + "outputs": [], + "source": [ + "#### INDEXING ####\n", + "\n", + "# Load blog\n", + "import bs4\n", + "from langchain_community.document_loaders import WebBaseLoader\n", + "loader = WebBaseLoader(\n", + " web_paths=(\"https://lilianweng.github.io/posts/2023-06-23-agent/\",),\n", + " bs_kwargs=dict(\n", + " parse_only=bs4.SoupStrainer(\n", + " class_=(\"post-content\", \"post-title\", \"post-header\")\n", + " )\n", + " ),\n", + ")\n", + "blog_docs = loader.load()" + ] + }, + { + "cell_type": "markdown", + "id": "798e731e-c6ff-46e3-a8bc-386832362af2", + "metadata": {}, + "source": [ + "[Splitter](https://python.langchain.com/docs/modules/data_connection/document_transformers/recursive_text_splitter)\n", + "\n", + "> This text splitter is the recommended one for generic text. It is parameterized by a list of characters. It tries to split on them in order until the chunks are small enough. The default list is [\"\\n\\n\", \"\\n\", \" \", \"\"]. This has the effect of trying to keep all paragraphs (and then sentences, and then words) together as long as possible, as those would generically seem to be the strongest semantically related pieces of text." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e668d339-3951-4662-8387-c3d296646906", + "metadata": {}, + "outputs": [], + "source": [ + "# Split\n", + "from langchain.text_splitter import RecursiveCharacterTextSplitter\n", + "text_splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder(\n", + " chunk_size=300, \n", + " chunk_overlap=50)\n", + "\n", + "# Make splits\n", + "splits = text_splitter.split_documents(blog_docs)" + ] + }, + { + "cell_type": "markdown", + "id": "427303a1-3ed4-430c-bfc7-cb3e48022f1d", + "metadata": {}, + "source": [ + "[Vectorstores](https://python.langchain.com/docs/integrations/vectorstores/)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "baa90aaf-cc1b-46a1-9fba-cf20804dcb41", + "metadata": {}, + "outputs": [], + "source": [ + "# Index\n", + "from langchain_openai import OpenAIEmbeddings\n", + "from langchain_community.vectorstores import Chroma\n", + "vectorstore = Chroma.from_documents(documents=splits, \n", + " embedding=OpenAIEmbeddings())\n", + "\n", + "retriever = vectorstore.as_retriever()" + ] + }, + { + "cell_type": "markdown", + "id": "ba890329-1411-4922-bd27-fe0490dd1208", + "metadata": {}, + "source": [ + "## Part 3: Retrieval" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fafdada1-4c4e-41f8-ad1a-33861aae3930", + "metadata": {}, + "outputs": [], + "source": [ + "# Index\n", + "from langchain_openai import OpenAIEmbeddings\n", + "from langchain_community.vectorstores import Chroma\n", + "vectorstore = Chroma.from_documents(documents=splits, \n", + " embedding=OpenAIEmbeddings())\n", + "\n", + "\n", + "retriever = vectorstore.as_retriever(search_kwargs={\"k\": 1})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "57c2de7a-93e6-4072-bc5b-db6516f96dda", + "metadata": {}, + "outputs": [], + "source": [ + "docs = retriever.get_relevant_documents(\"What is Task Decomposition?\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "db96f877-60d3-4741-9846-e2903831583d", + "metadata": {}, + "outputs": [], + "source": [ + "len(docs)" + ] + }, + { + "attachments": { + "f9b0e284-58e4-4d33-9594-2dad351c569a.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "beda1b07-7bd2-4f5b-8d44-1fc52f5d2ce2", + "metadata": {}, + "source": [ + "## Part 4: Generation\n", + "\n", + "![Screenshot 2024-02-12 at 1.37.38 PM.png](attachment:f9b0e284-58e4-4d33-9594-2dad351c569a.png)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8beb6c14-5e18-43e7-9d04-59e3b8a81cc9", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_openai import ChatOpenAI\n", + "from langchain.prompts import ChatPromptTemplate\n", + "\n", + "# Prompt\n", + "template = \"\"\"Answer the question based only on the following context:\n", + "{context}\n", + "\n", + "Question: {question}\n", + "\"\"\"\n", + "\n", + "prompt = ChatPromptTemplate.from_template(template)\n", + "prompt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e4461264-5cac-479a-917c-9bf589826da4", + "metadata": {}, + "outputs": [], + "source": [ + "# LLM\n", + "llm = ChatOpenAI(model_name=\"gpt-3.5-turbo\", temperature=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "55d6629f-18ec-4372-a557-b254fbb1dd2d", + "metadata": {}, + "outputs": [], + "source": [ + "# Chain\n", + "chain = prompt | llm" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "94470770-8df4-4359-9504-ef6c8b3137ff", + "metadata": {}, + "outputs": [], + "source": [ + "# Run\n", + "chain.invoke({\"context\":docs,\"question\":\"What is Task Decomposition?\"})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "65770e2d-3d5e-4371-abc9-0aeca9646885", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain import hub\n", + "prompt_hub_rag = hub.pull(\"rlm/rag-prompt\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f53e5840-0a0f-4428-a4a4-6922800aff89", + "metadata": {}, + "outputs": [], + "source": [ + "prompt_hub_rag" + ] + }, + { + "cell_type": "markdown", + "id": "8ffe29a1-5527-419e-9f12-8a3061d12885", + "metadata": {}, + "source": [ + "[RAG chains](https://python.langchain.com/docs/expression_language/get_started#rag-search-example)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8208a8bc-c75f-4e8e-8601-680746cd6276", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_core.output_parsers import StrOutputParser\n", + "from langchain_core.runnables import RunnablePassthrough\n", + "\n", + "rag_chain = (\n", + " {\"context\": retriever, \"question\": RunnablePassthrough()}\n", + " | prompt\n", + " | llm\n", + " | StrOutputParser()\n", + ")\n", + "\n", + "rag_chain.invoke(\"What is Task Decomposition?\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3fb474b9-1e38-4a20-91cc-24cdce6d8631", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_5_to_9.ipynb b/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_5_to_9.ipynb new file mode 100644 index 0000000..9220584 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/rags/rag_from_scratch_5_to_9.ipynb @@ -0,0 +1,908 @@ +{ + "cells": [ + { + "attachments": { + "d9d5305c-e5bb-4934-b91d-5988c87fd767.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "8d2441db-0ad8-40f2-b042-6bb96f184711", + "metadata": {}, + "source": [ + "# Rag From Scratch: Query Transformations\n", + "\n", + "Query transformations are a set of approaches focused on re-writing and / or modifying questions for retrieval.\n", + "\n", + "![Screenshot 2024-03-25 at 8.08.30 PM.png](attachment:d9d5305c-e5bb-4934-b91d-5988c87fd767.png)\n", + "\n", + "## Enviornment\n", + "\n", + "`(1) Packages`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "df89be8f-2c49-4f4f-9503-2bff0b08a67a", + "metadata": {}, + "outputs": [], + "source": [ + "! pip install langchain_community tiktoken langchain-openai langchainhub chromadb langchain" + ] + }, + { + "cell_type": "markdown", + "id": "3e08bb78-7e80-4d95-a124-33b695bf5e6a", + "metadata": {}, + "source": [ + "`(2) LangSmith`\n", + "\n", + "https://docs.smith.langchain.com/" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5258de38-0cc0-4d9d-a5ca-6e750ebe6976", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.environ['LANGCHAIN_TRACING_V2'] = 'true'\n", + "os.environ['LANGCHAIN_ENDPOINT'] = 'https://api.smith.langchain.com'\n", + "os.environ['LANGCHAIN_API_KEY'] = " + ] + }, + { + "cell_type": "markdown", + "id": "feaccdca-1ab0-43b1-82c2-22e9cd27675b", + "metadata": {}, + "source": [ + "`(3) API Keys`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1cd6453b-2721-491c-b979-1860d58d8cf5", + "metadata": {}, + "outputs": [], + "source": [ + "os.environ['OPENAI_API_KEY'] = " + ] + }, + { + "attachments": { + "9efe017a-075f-4017-abef-174c755b11c6.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "4f2365b3-b61b-4dbf-ab17-636cbfcaf9e0", + "metadata": {}, + "source": [ + "## Part 5: Multi Query\n", + "\n", + "Flow:\n", + "\n", + "![Screenshot 2024-02-12 at 12.39.59 PM.png](attachment:9efe017a-075f-4017-abef-174c755b11c6.png)\n", + "\n", + "Docs:\n", + "\n", + "* https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever\n", + "\n", + "### Index" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "9d1b6e2b-dd76-410d-b870-23e02564a665", + "metadata": {}, + "outputs": [], + "source": [ + "#### INDEXING ####\n", + "\n", + "# Load blog\n", + "import bs4\n", + "from langchain_community.document_loaders import WebBaseLoader\n", + "loader = WebBaseLoader(\n", + " web_paths=(\"https://lilianweng.github.io/posts/2023-06-23-agent/\",),\n", + " bs_kwargs=dict(\n", + " parse_only=bs4.SoupStrainer(\n", + " class_=(\"post-content\", \"post-title\", \"post-header\")\n", + " )\n", + " ),\n", + ")\n", + "blog_docs = loader.load()\n", + "\n", + "# Split\n", + "from langchain.text_splitter import RecursiveCharacterTextSplitter\n", + "text_splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder(\n", + " chunk_size=300, \n", + " chunk_overlap=50)\n", + "\n", + "# Make splits\n", + "splits = text_splitter.split_documents(blog_docs)\n", + "\n", + "# Index\n", + "from langchain_openai import OpenAIEmbeddings\n", + "from langchain_community.vectorstores import Chroma\n", + "vectorstore = Chroma.from_documents(documents=splits, \n", + " embedding=OpenAIEmbeddings())\n", + "\n", + "retriever = vectorstore.as_retriever()" + ] + }, + { + "cell_type": "markdown", + "id": "76f1b6c5-faa9-404b-90c6-22d3b40169fa", + "metadata": {}, + "source": [ + "### Prompt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "965de464-0c98-4318-9f9e-f8a597c8d5d6", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain.prompts import ChatPromptTemplate\n", + "\n", + "# Multi Query: Different Perspectives\n", + "template = \"\"\"You are an AI language model assistant. Your task is to generate five \n", + "different versions of the given user question to retrieve relevant documents from a vector \n", + "database. By generating multiple perspectives on the user question, your goal is to help\n", + "the user overcome some of the limitations of the distance-based similarity search. \n", + "Provide these alternative questions separated by newlines. Original question: {question}\"\"\"\n", + "prompt_perspectives = ChatPromptTemplate.from_template(template)\n", + "\n", + "from langchain_core.output_parsers import StrOutputParser\n", + "from langchain_openai import ChatOpenAI\n", + "\n", + "generate_queries = (\n", + " prompt_perspectives \n", + " | ChatOpenAI(temperature=0) \n", + " | StrOutputParser() \n", + " | (lambda x: x.split(\"\\n\"))\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4f253520-386f-434b-8daa-d6dadb89eddb", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain.load import dumps, loads\n", + "\n", + "def get_unique_union(documents: list[list]):\n", + " \"\"\" Unique union of retrieved docs \"\"\"\n", + " # Flatten list of lists, and convert each Document to string\n", + " flattened_docs = [dumps(doc) for sublist in documents for doc in sublist]\n", + " # Get unique documents\n", + " unique_docs = list(set(flattened_docs))\n", + " # Return\n", + " return [loads(doc) for doc in unique_docs]\n", + "\n", + "# Retrieve\n", + "question = \"What is task decomposition for LLM agents?\"\n", + "retrieval_chain = generate_queries | retriever.map() | get_unique_union\n", + "docs = retrieval_chain.invoke({\"question\":question})\n", + "len(docs)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "af6e74e8-ddae-4165-9e4b-0022ac125194", + "metadata": {}, + "outputs": [], + "source": [ + "from operator import itemgetter\n", + "from langchain_openai import ChatOpenAI\n", + "from langchain_core.runnables import RunnablePassthrough\n", + "\n", + "# RAG\n", + "template = \"\"\"Answer the following question based on this context:\n", + "\n", + "{context}\n", + "\n", + "Question: {question}\n", + "\"\"\"\n", + "\n", + "prompt = ChatPromptTemplate.from_template(template)\n", + "\n", + "llm = ChatOpenAI(temperature=0)\n", + "\n", + "final_rag_chain = (\n", + " {\"context\": retrieval_chain, \n", + " \"question\": itemgetter(\"question\")} \n", + " | prompt\n", + " | llm\n", + " | StrOutputParser()\n", + ")\n", + "\n", + "final_rag_chain.invoke({\"question\":question})" + ] + }, + { + "attachments": { + "0bc49f5b-c338-4cd4-ac04-8744994e0e81.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "618afe4a-f1d6-433a-9d28-f1956c2b83ef", + "metadata": {}, + "source": [ + "## Part 6: RAG-Fusion\n", + "\n", + "Flow:\n", + "\n", + "![Screenshot 2024-02-12 at 12.41.36 PM.png](attachment:0bc49f5b-c338-4cd4-ac04-8744994e0e81.png)\n", + "\n", + "Docs:\n", + "\n", + "* https://github.com/langchain-ai/langchain/blob/master/cookbook/rag_fusion.ipynb?ref=blog.langchain.dev\n", + "\n", + "Blog / repo: \n", + "\n", + "* https://towardsdatascience.com/forget-rag-the-future-is-rag-fusion-1147298d8ad1\n", + "\n", + "### Prompt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "34e7075b-b80d-461d-9e2e-e05e29436f3e", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain.prompts import ChatPromptTemplate\n", + "\n", + "# RAG-Fusion: Related\n", + "template = \"\"\"You are a helpful assistant that generates multiple search queries based on a single input query. \\n\n", + "Generate multiple search queries related to: {question} \\n\n", + "Output (4 queries):\"\"\"\n", + "prompt_rag_fusion = ChatPromptTemplate.from_template(template)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9781b40c-c408-42f4-ae14-cd11be513b63", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_core.output_parsers import StrOutputParser\n", + "from langchain_openai import ChatOpenAI\n", + "\n", + "generate_queries = (\n", + " prompt_rag_fusion \n", + " | ChatOpenAI(temperature=0)\n", + " | StrOutputParser() \n", + " | (lambda x: x.split(\"\\n\"))\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2b1adff1-e993-4747-b95d-656eaaeccfdd", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain.load import dumps, loads\n", + "\n", + "def reciprocal_rank_fusion(results: list[list], k=60):\n", + " \"\"\" Reciprocal_rank_fusion that takes multiple lists of ranked documents \n", + " and an optional parameter k used in the RRF formula \"\"\"\n", + " \n", + " # Initialize a dictionary to hold fused scores for each unique document\n", + " fused_scores = {}\n", + "\n", + " # Iterate through each list of ranked documents\n", + " for docs in results:\n", + " # Iterate through each document in the list, with its rank (position in the list)\n", + " for rank, doc in enumerate(docs):\n", + " # Convert the document to a string format to use as a key (assumes documents can be serialized to JSON)\n", + " doc_str = dumps(doc)\n", + " # If the document is not yet in the fused_scores dictionary, add it with an initial score of 0\n", + " if doc_str not in fused_scores:\n", + " fused_scores[doc_str] = 0\n", + " # Retrieve the current score of the document, if any\n", + " previous_score = fused_scores[doc_str]\n", + " # Update the score of the document using the RRF formula: 1 / (rank + k)\n", + " fused_scores[doc_str] += 1 / (rank + k)\n", + "\n", + " # Sort the documents based on their fused scores in descending order to get the final reranked results\n", + " reranked_results = [\n", + " (loads(doc), score)\n", + " for doc, score in sorted(fused_scores.items(), key=lambda x: x[1], reverse=True)\n", + " ]\n", + "\n", + " # Return the reranked results as a list of tuples, each containing the document and its fused score\n", + " return reranked_results\n", + "\n", + "retrieval_chain_rag_fusion = generate_queries | retriever.map() | reciprocal_rank_fusion\n", + "docs = retrieval_chain_rag_fusion.invoke({\"question\": question})\n", + "len(docs)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ce2adf2d-3d9f-4d43-afb0-8304edcfb1f1", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_core.runnables import RunnablePassthrough\n", + "\n", + "# RAG\n", + "template = \"\"\"Answer the following question based on this context:\n", + "\n", + "{context}\n", + "\n", + "Question: {question}\n", + "\"\"\"\n", + "\n", + "prompt = ChatPromptTemplate.from_template(template)\n", + "\n", + "final_rag_chain = (\n", + " {\"context\": retrieval_chain_rag_fusion, \n", + " \"question\": itemgetter(\"question\")} \n", + " | prompt\n", + " | llm\n", + " | StrOutputParser()\n", + ")\n", + "\n", + "final_rag_chain.invoke({\"question\":question})" + ] + }, + { + "cell_type": "markdown", + "id": "533c59f3-a85f-4094-b66b-8bdc400acab6", + "metadata": {}, + "source": [ + "Trace:\n", + "\n", + "https://smith.langchain.com/public/071202c9-9f4d-41b1-bf9d-86b7c5a7525b/r" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "94c812d3-4d91-4634-8301-0b68be88a887", + "metadata": {}, + "source": [ + "## Part 7: Decomposition" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "f82fac99-58dc-4bb9-84e6-51180db855ad", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain.prompts import ChatPromptTemplate\n", + "\n", + "# Decomposition\n", + "template = \"\"\"You are a helpful assistant that generates multiple sub-questions related to an input question. \\n\n", + "The goal is to break down the input into a set of sub-problems / sub-questions that can be answers in isolation. \\n\n", + "Generate multiple search queries related to: {question} \\n\n", + "Output (3 queries):\"\"\"\n", + "prompt_decomposition = ChatPromptTemplate.from_template(template)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "c31eefd9-5598-44a1-b0d6-dd04553a3eb4", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_openai import ChatOpenAI\n", + "from langchain_core.output_parsers import StrOutputParser\n", + "\n", + "# LLM\n", + "llm = ChatOpenAI(temperature=0)\n", + "\n", + "# Chain\n", + "generate_queries_decomposition = ( prompt_decomposition | llm | StrOutputParser() | (lambda x: x.split(\"\\n\")))\n", + "\n", + "# Run\n", + "question = \"What are the main components of an LLM-powered autonomous agent system?\"\n", + "questions = generate_queries_decomposition.invoke({\"question\":question})" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "07191b5c-cf72-4b8f-a225-f57dfdc2fc78", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['1. What is LLM technology and how does it work in autonomous agent systems?',\n", + " '2. What are the specific components that make up an LLM-powered autonomous agent system?',\n", + " '3. How do the main components of an LLM-powered autonomous agent system interact with each other to enable autonomous functionality?']" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "questions" + ] + }, + { + "attachments": { + "9a9685de-051f-48fa-b68f-2b1f85344cdf.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "19543d04-ff31-4774-b89c-9d31f5a28fc9", + "metadata": {}, + "source": [ + "### Answer recursively \n", + "\n", + "![Screenshot 2024-02-18 at 1.55.32 PM.png](attachment:9a9685de-051f-48fa-b68f-2b1f85344cdf.png)\n", + "\n", + "Papers:\n", + "\n", + "* https://arxiv.org/pdf/2205.10625.pdf\n", + "* https://arxiv.org/abs/2212.10509.pdf" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "c72bbd12-f85c-4ed0-9dfa-8503afebfafa", + "metadata": {}, + "outputs": [], + "source": [ + "# Prompt\n", + "template = \"\"\"Here is the question you need to answer:\n", + "\n", + "\\n --- \\n {question} \\n --- \\n\n", + "\n", + "Here is any available background question + answer pairs:\n", + "\n", + "\\n --- \\n {q_a_pairs} \\n --- \\n\n", + "\n", + "Here is additional context relevant to the question: \n", + "\n", + "\\n --- \\n {context} \\n --- \\n\n", + "\n", + "Use the above context and any background question + answer pairs to answer the question: \\n {question}\n", + "\"\"\"\n", + "\n", + "decomposition_prompt = ChatPromptTemplate.from_template(template)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "a20bf0d4-f567-4451-834d-a07190a3185e", + "metadata": {}, + "outputs": [], + "source": [ + "from operator import itemgetter\n", + "from langchain_core.output_parsers import StrOutputParser\n", + "\n", + "def format_qa_pair(question, answer):\n", + " \"\"\"Format Q and A pair\"\"\"\n", + " \n", + " formatted_string = \"\"\n", + " formatted_string += f\"Question: {question}\\nAnswer: {answer}\\n\\n\"\n", + " return formatted_string.strip()\n", + "\n", + "# llm\n", + "llm = ChatOpenAI(model_name=\"gpt-3.5-turbo\", temperature=0)\n", + "\n", + "q_a_pairs = \"\"\n", + "for q in questions:\n", + " \n", + " rag_chain = (\n", + " {\"context\": itemgetter(\"question\") | retriever, \n", + " \"question\": itemgetter(\"question\"),\n", + " \"q_a_pairs\": itemgetter(\"q_a_pairs\")} \n", + " | decomposition_prompt\n", + " | llm\n", + " | StrOutputParser())\n", + "\n", + " answer = rag_chain.invoke({\"question\":q,\"q_a_pairs\":q_a_pairs})\n", + " q_a_pair = format_qa_pair(q,answer)\n", + " q_a_pairs = q_a_pairs + \"\\n---\\n\"+ q_a_pair" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "e6070fea-ffcf-49ca-ac99-7d7ed2744d40", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'The main components of an LLM-powered autonomous agent system interact with each other in a coordinated manner to enable autonomous functionality. \\n\\n1. Planning: The agent breaks down complex tasks into smaller subgoals through task decomposition. This allows for efficient handling of tasks by breaking them down into manageable steps. The agent can also engage in self-reflection and refinement, learning from past actions and improving future results.\\n\\n2. Memory: The agent stores information and past experiences to inform future actions. This memory component helps the agent make informed decisions based on past experiences.\\n\\n3. External Classical Planner (LLM+P approach): In some cases, the agent may outsource long-horizon planning to an external classical planner using the Planning Domain Definition Language (PDDL) as an intermediate interface. This allows for more complex planning tasks to be handled efficiently.\\n\\n4. Self-Reflection (ReAct approach): The agent integrates reasoning and acting within LLM by extending the action space to include task-specific discrete actions and language prompts. This allows the agent to interact with the environment and generate reasoning traces in natural language. Self-reflection plays a crucial role in enabling the agent to improve iteratively by refining past actions and correcting mistakes.\\n\\nOverall, the interaction between these components enables the LLM-powered autonomous agent system to effectively plan, execute tasks, learn from experiences, and improve its performance over time, ultimately enabling autonomous functionality.'" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "answer" + ] + }, + { + "cell_type": "markdown", + "id": "c3e13879-bb8f-43be-acb8-3dc3c41dabb2", + "metadata": {}, + "source": [ + "Trace: \n", + "\n", + "Question 1: https://smith.langchain.com/public/faefde73-0ecb-4328-8fee-a237904115c0/r\n", + "\n", + "Question 2: https://smith.langchain.com/public/6142cad3-b314-454e-b2c9-15146cfcce78/r\n", + "\n", + "Question 3: https://smith.langchain.com/public/84bdca0f-0fa4-46d4-9f89-a7f25bd857fe/r" + ] + }, + { + "attachments": { + "e24502d7-f641-4262-a326-da1636822fa2.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "eb0fa2e4-d4f1-42fc-a1ad-8eaeb05a0d3e", + "metadata": {}, + "source": [ + "### Answer individually \n", + "\n", + "![Screenshot 2024-02-18 at 2.00.59 PM.png](attachment:e24502d7-f641-4262-a326-da1636822fa2.png)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "297425fa-975b-4599-9b9e-a11139b99140", + "metadata": {}, + "outputs": [], + "source": [ + "# Answer each sub-question individually \n", + "\n", + "from langchain import hub\n", + "from langchain_core.prompts import ChatPromptTemplate\n", + "from langchain_core.runnables import RunnablePassthrough, RunnableLambda\n", + "from langchain_core.output_parsers import StrOutputParser\n", + "from langchain_openai import ChatOpenAI\n", + "\n", + "# RAG prompt\n", + "prompt_rag = hub.pull(\"rlm/rag-prompt\")\n", + "\n", + "def retrieve_and_rag(question,prompt_rag,sub_question_generator_chain):\n", + " \"\"\"RAG on each sub-question\"\"\"\n", + " \n", + " # Use our decomposition / \n", + " sub_questions = sub_question_generator_chain.invoke({\"question\":question})\n", + " \n", + " # Initialize a list to hold RAG chain results\n", + " rag_results = []\n", + " \n", + " for sub_question in sub_questions:\n", + " \n", + " # Retrieve documents for each sub-question\n", + " retrieved_docs = retriever.get_relevant_documents(sub_question)\n", + " \n", + " # Use retrieved documents and sub-question in RAG chain\n", + " answer = (prompt_rag | llm | StrOutputParser()).invoke({\"context\": retrieved_docs, \n", + " \"question\": sub_question})\n", + " rag_results.append(answer)\n", + " \n", + " return rag_results,sub_questions\n", + "\n", + "# Wrap the retrieval and RAG process in a RunnableLambda for integration into a chain\n", + "answers, questions = retrieve_and_rag(question, prompt_rag, generate_queries_decomposition)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "b8631dda-bbcd-437c-81b3-5db7abb831f9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'The main components of an LLM-powered autonomous agent system include planning, subgoal decomposition, reflection and refinement, memory, task decomposition, and self-reflection. Planning involves breaking down tasks into manageable subgoals, while reflection allows for self-criticism and learning from past actions. Task decomposition can be done through simple prompting by LLM, task-specific instructions, or human inputs. These components work together to enable autonomous behavior by allowing the agent to plan, learn from mistakes, and improve its actions over time.'" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def format_qa_pairs(questions, answers):\n", + " \"\"\"Format Q and A pairs\"\"\"\n", + " \n", + " formatted_string = \"\"\n", + " for i, (question, answer) in enumerate(zip(questions, answers), start=1):\n", + " formatted_string += f\"Question {i}: {question}\\nAnswer {i}: {answer}\\n\\n\"\n", + " return formatted_string.strip()\n", + "\n", + "context = format_qa_pairs(questions, answers)\n", + "\n", + "# Prompt\n", + "template = \"\"\"Here is a set of Q+A pairs:\n", + "\n", + "{context}\n", + "\n", + "Use these to synthesize an answer to the question: {question}\n", + "\"\"\"\n", + "\n", + "prompt = ChatPromptTemplate.from_template(template)\n", + "\n", + "final_rag_chain = (\n", + " prompt\n", + " | llm\n", + " | StrOutputParser()\n", + ")\n", + "\n", + "final_rag_chain.invoke({\"context\":context,\"question\":question})" + ] + }, + { + "cell_type": "markdown", + "id": "17698863-e683-48f4-b50e-adaa2bdee55d", + "metadata": {}, + "source": [ + "Trace:\n", + "\n", + "https://smith.langchain.com/public/d8f26f75-3fb8-498a-a3a2-6532aa77f56b/r" + ] + }, + { + "attachments": { + "715e11dc-7730-4f51-8469-b7f0b299ac9e.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "6126bebb-94e5-48ef-9a17-6a315ed0a596", + "metadata": {}, + "source": [ + "## Part 8: Step Back\n", + "\n", + "![Screenshot 2024-02-12 at 1.14.43 PM.png](attachment:715e11dc-7730-4f51-8469-b7f0b299ac9e.png)\n", + "\n", + "Paper: \n", + "\n", + "* https://arxiv.org/pdf/2310.06117.pdf" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1d74f9f2-543d-4e41-b90b-7bb527eca1d9", + "metadata": {}, + "outputs": [], + "source": [ + "# Few Shot Examples\n", + "from langchain_core.prompts import ChatPromptTemplate, FewShotChatMessagePromptTemplate\n", + "examples = [\n", + " {\n", + " \"input\": \"Could the members of The Police perform lawful arrests?\",\n", + " \"output\": \"what can the members of The Police do?\",\n", + " },\n", + " {\n", + " \"input\": \"Jan Sindel’s was born in what country?\",\n", + " \"output\": \"what is Jan Sindel’s personal history?\",\n", + " },\n", + "]\n", + "# We now transform these to example messages\n", + "example_prompt = ChatPromptTemplate.from_messages(\n", + " [\n", + " (\"human\", \"{input}\"),\n", + " (\"ai\", \"{output}\"),\n", + " ]\n", + ")\n", + "few_shot_prompt = FewShotChatMessagePromptTemplate(\n", + " example_prompt=example_prompt,\n", + " examples=examples,\n", + ")\n", + "prompt = ChatPromptTemplate.from_messages(\n", + " [\n", + " (\n", + " \"system\",\n", + " \"\"\"You are an expert at world knowledge. Your task is to step back and paraphrase a question to a more generic step-back question, which is easier to answer. Here are a few examples:\"\"\",\n", + " ),\n", + " # Few shot examples\n", + " few_shot_prompt,\n", + " # New question\n", + " (\"user\", \"{question}\"),\n", + " ]\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5cba100d-167f-4392-8f58-88729d3e4ce9", + "metadata": {}, + "outputs": [], + "source": [ + "generate_queries_step_back = prompt | ChatOpenAI(temperature=0) | StrOutputParser()\n", + "question = \"What is task decomposition for LLM agents?\"\n", + "generate_queries_step_back.invoke({\"question\": question})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "999445b0-d8a0-4208-9bb6-38610667a00b", + "metadata": {}, + "outputs": [], + "source": [ + "# Response prompt \n", + "response_prompt_template = \"\"\"You are an expert of world knowledge. I am going to ask you a question. Your response should be comprehensive and not contradicted with the following context if they are relevant. Otherwise, ignore them if they are not relevant.\n", + "\n", + "# {normal_context}\n", + "# {step_back_context}\n", + "\n", + "# Original Question: {question}\n", + "# Answer:\"\"\"\n", + "response_prompt = ChatPromptTemplate.from_template(response_prompt_template)\n", + "\n", + "chain = (\n", + " {\n", + " # Retrieve context using the normal question\n", + " \"normal_context\": RunnableLambda(lambda x: x[\"question\"]) | retriever,\n", + " # Retrieve context using the step-back question\n", + " \"step_back_context\": generate_queries_step_back | retriever,\n", + " # Pass on the question\n", + " \"question\": lambda x: x[\"question\"],\n", + " }\n", + " | response_prompt\n", + " | ChatOpenAI(temperature=0)\n", + " | StrOutputParser()\n", + ")\n", + "\n", + "chain.invoke({\"question\": question})" + ] + }, + { + "attachments": { + "1982149e-720b-426e-a1ab-8d96f6616b5a.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "63d0e558-4abe-42e4-a33a-2b93692f5fab", + "metadata": {}, + "source": [ + "## Part 9: HyDE\n", + "\n", + "![Screenshot 2024-02-12 at 1.12.45 PM.png](attachment:1982149e-720b-426e-a1ab-8d96f6616b5a.png)\n", + "\n", + "Docs: \n", + "\n", + "* https://github.com/langchain-ai/langchain/blob/master/cookbook/hypothetical_document_embeddings.ipynb\n", + "\n", + "Paper:\n", + "\n", + "* https://arxiv.org/abs/2212.10496" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c2902575-bbbb-41a9-835b-9a24dc08261b", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain.prompts import ChatPromptTemplate\n", + "\n", + "# HyDE document genration\n", + "template = \"\"\"Please write a scientific paper passage to answer the question\n", + "Question: {question}\n", + "Passage:\"\"\"\n", + "prompt_hyde = ChatPromptTemplate.from_template(template)\n", + "\n", + "from langchain_core.output_parsers import StrOutputParser\n", + "from langchain_openai import ChatOpenAI\n", + "\n", + "generate_docs_for_retrieval = (\n", + " prompt_hyde | ChatOpenAI(temperature=0) | StrOutputParser() \n", + ")\n", + "\n", + "# Run\n", + "question = \"What is task decomposition for LLM agents?\"\n", + "generate_docs_for_retrieval.invoke({\"question\":question})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d47587bb-23db-42a0-b087-beef9e95308b", + "metadata": {}, + "outputs": [], + "source": [ + "# Retrieve\n", + "retrieval_chain = generate_docs_for_retrieval | retriever \n", + "retireved_docs = retrieval_chain.invoke({\"question\":question})\n", + "retireved_docs" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "604fcc36-a1d7-4096-99b5-50db30950fc5", + "metadata": {}, + "outputs": [], + "source": [ + "# RAG\n", + "template = \"\"\"Answer the following question based on this context:\n", + "\n", + "{context}\n", + "\n", + "Question: {question}\n", + "\"\"\"\n", + "\n", + "prompt = ChatPromptTemplate.from_template(template)\n", + "\n", + "final_rag_chain = (\n", + " prompt\n", + " | llm\n", + " | StrOutputParser()\n", + ")\n", + "\n", + "final_rag_chain.invoke({\"context\":retireved_docs,\"question\":question})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "270dbd23-6f16-4827-a401-75889f0e3506", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/templates/about.html b/appkits/qpyapp/src/qpynotes/topics/templates/about.html new file mode 100644 index 0000000..8206f38 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/templates/about.html @@ -0,0 +1,8 @@ +{% extends 'base.html' %} +{% block title%}About page{% endblock %} +{% block content %} +

About page

+

+ This is about page +

+{% endblock %} \ No newline at end of file diff --git a/appkits/qpyapp/src/qpynotes/topics/templates/base.html b/appkits/qpyapp/src/qpynotes/topics/templates/base.html new file mode 100644 index 0000000..d30bc23 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/templates/base.html @@ -0,0 +1,14 @@ + + + + + + + {% block title %}{% endblock %} + + + {% block content%} + + {% endblock %} + + \ No newline at end of file diff --git a/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Dark_Web.py b/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Dark_Web.py new file mode 100644 index 0000000..e16732b --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Dark_Web.py @@ -0,0 +1,40 @@ +# Privacy :- Means that no one knows what you do like if you entered your house people can see that you entered you house they don't know what you are doing in your house +# Anonymity :- Means that people can see what you're doing but they don't know who you are + +# Privacy Can't be achieved easily on the interent cause the internet have recoursed not owned by you cause if visit a website the ISP (internet service provider) will know + +## Tor (The Onion Router) ## +# 1- Network of servers designed to improve anonymity and privacy +# 2- Most common anonymizing network +# 3- Connected computers can be configured to offer hidden or onion services +# 4- Onion routing was designed by the US army to protect their communications +# 5- Tor depends on onion routing +# 6- You can use tor not for accessing the dark web only you can also visit clear net with more privacy and anonymity + +# When you open any website they know your location, browser, operating system and much more + +# We Have Privacy In TOR Browser because it has alot of servers (computers) connected with each others and when we send data through the tor network it will bounce over a minimum of 3 servers before it goes to the destination + +# Hidden Services/Onion is a services provided by a anonymous guy or organization and it's inside the TOR network when you access it you will not know who they are and they will not know who you are (محدش عارف باع ايه لمين وبكام) + + +# To access the dark web there's three ways +# 1- Use TOR browser => Simplest but not best. +# 2- Tails => It's a linux distrobution designed for anonymity and privacy and it's a great solution +# 3- Qubes with whonix => Best Way and qubes is an operating system and whonix is a gateway it's very secure + +# when you exit from the tor network to your destination (google.com) the exit node will not be private cause it uses the http protocol and you need to trust the provider of this node + +# TOR Browser +# 1- Modified version of firefox ESR +# 2- Uses the TOR network by default +# 3- Fully patched from all known vulnerabilities to make sure that it is as secure as possible +# 4- Disables insecure features/plugins +# 5- Forces all the websites to use the HTTPS Protocol to provide more privacy and to solve the exit node problem +# 6- Disables scripts like js scripts using noscript plugin +# 7- With TOR borwser all the traffics sent throught the browser it is in the tor network +# 8- Never use tor browser in the full screen mode because any hacker can identify what kind of labtop or computer you're using +# 9- Always check for updates +# 10- New identify option in tor browser will remove all of yours cache and remove all your data and histroy and the browser wil reload the brwoser with new IP + +# When you download the TOR browser from the torproject website you must download the signature file and then download the Gpg4win program to see if the signature matches the tor app you download cause the file you downloaded could be modified the ISP or a hacker diff --git a/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Git_Github.py b/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Git_Github.py new file mode 100644 index 0000000..c4bdd29 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Git_Github.py @@ -0,0 +1,112 @@ +# Git is the most popular version control system in the world, version control system records the changes made to our code over time in a special database called repository +# version control system can fall into two categories :- +# 1- Centralized :- in a centralized system all team members connect to a central server to get the latest copy of the code and to share the changes with others. +# 2- Distributed :- in a distributed system every team member has a copy of project with his history on their machine so they can save snapshots of the project locally in their machine +# git is a distributed system. +# Merging is all about bringing changes from one branch to another and there's two types of merges in git 1- fast-forward merges 2- 3-way merges. + +# Notes:- +# 1- .gitconfig is the configuration file of git +# 2- to write the message of commiting in VSC just type git commit and will open the VSC to write the message you want. + + + +#################################################### Git Commands #################################################### +# git --version or git -v => To know the version of git on your local machine. +# git command_name --help => To get alot of informations on this command. +# git command_name -h => To get a fast refresher on this command. +# git init => To Create An Empty Repositery From Existing Project. +# git clone => To Clone (Copy) The Project From Remote Repo (GitHub) To Local Repo (PC). +# git status => Show You What Happens In Your Working Directory. +# git status -s => similar to git status but show you less information. +# git add * => To Add All The Files From Working Directory To The Staging Area. +# git add *.extension => To Add All The Files With The Same Extension. +# git add . => To Add The Entire Directory Recursively. +# git rm file.txt => This Will Remove The File From The Working Directory And The Staging Area. +# git rm --cached -r file => To Remove The File From The Index Or The Staging Area. +# git mv file.txt => This will aplly the changes to both the working directory and the staging area, we use it instead of mv unix command +# git ls-files => To List The Files In The Staging Area. +# git restoer file.txt => Will Undo The Changes In This File, It Will Take The Copy Of This File From The Staging Area To The Working Directory. +# git restore --staged filename filename... => To Restore The Files From The Staging Area To The Working Directory +# git commit -m "Here The Message You Want To Write" => To Add The Files From Staging Area To The Local Repo, m option stands for message. +# git commit -am "Here The Message You Want To Write" => To Commit The Changes Without Adding Them To The Staging Area ( Never use this option unless you know 100% what you are doing ). +# git remote -v => Show You The Remote Repo. +# git push origin main => To Push The Changes From Local Repo To The Remote Repo. +# git pull origin => To Pull The Changes From The Remote Repo To The Local Repo. +# git config -l => To List All The Configuration Of Git. +# git help config => To Open The Configuration Manual. +# git config --global user.email "The Github Email" => To Show The Terminal My Email. +# git config --global user.name "Github Name" => To Show The Terminal My Name. +# git config --global user.email => To Print The Email Name In The Config. +# git config --global user.name => To Print The Email Of The User In The Config Settings. +# git config -l --show-origin => To Show You Where The Configuration Comes From. +# git config --global --unset Config Name => To Delete A Specified Configuration. +# git config --global --edit => To Change The Configuration With The Editor (VS). +# git config --global core.editor => To make the VSC the default editor for git. +# git config --global core.autocrlf true => To handle line ending in windows, cr shortcut for carriage return, lf shortcut for line feeding. +# git config --global core.autocrlf input => To handle line ending in mac or linux. +# git config --global diff.tool vscode => To make the VSC the default editor for diff +# ssh-keygen -t rsa -b 4090 -C "Here Your Gmail" => To Create SSH Key. +# ssh -T git@github.com => To Test The SSH Key. +# git push -u origin master => To Push The Changes From The Local Repo To The Remote Repo. +# git config --global alias.st status => To Create An Alias To The git status Command. +# git config --global alias.st => To Sh ow You The Command Alias. +# git branch Branch Name => To Create New Branch. +# git branch => Show You All The Branches In The Local Repo. +# git checkout Branch_Name => To Go To The Branch You Want (Old Way). +# git switch Branch_Name => To Go To The Branch You Want ( New Way ) +# git branch -d Branch_Name => To Delete Specified Branch. +# git branch -D Branch_Name => To Force Delete The Branch Even If There's Changes In The Branch. +# git checkout -b Branch_Name => To Create A New Branch And Go To It ( Old Way ). +# git swithc -C Branch_Name => To Create A New Branch And Go To It ( New Way ). +# git branch -m Old_Branch_Name New_Branch_Name => To Rename An Existing Branch. +# git merge Branch_Name => To Merge The Branch With The Main Branch. +# git branch --merged => To see the merged branchs with the master. +# git branch --no-merged => to see the non merged branches with the master +# git stash => To Put The Files In A Stash Until You Done With It (بتركنهم على جمب لعند ما تخلص التعديلات وبعدين ترجعم من الستاش وترفعهم) +# git stash pop => To Restore The Files From The Stash ( Stash Box Also Deleted ). +# git stash apply => To restore The Files From The Stash But The Stash Box Not Deleted. +# git stash list => To Show You All Stashes. +# git stash save "The Message You Want" => To Put A File In Stash Box With Message. +# git stash pop/apply stash@{Id Number} => To Restore Any Specified File From The Stash. +# git stash drop => To Remove Stash Box With Files Inside It. +# git stash show => To Show You What Happened In The Stash. +# git stash clear => Remove All The Stashes. +# git clean -n => To Show You The Files You Would Removed. +# git clean -f => To Remove All The Untracked Files. +# git log => Show You All The Commits Or The History Of The Repo, sorted from the latest to the earliest, space to show more history, q to quit. +# git log --oneline => This Show You A Short Summary Of The Commit. +# git log --reverse => To Show You The Commits In Reverse Order +# git log --stat => To See All The Files That Have Been Changed In Each Commit. +# git log --patch => To See The Actual Changes In Each Commit. +# git log -3 => To Filter The History, -3 Means Show Me The Last Three Commits. +# git log --author="the_author_name" => To Filter The History With The Author Name. +# git log --after="2023-08-1" => To Filter The History With The Date, this means show me all the commits after this date. +# git log --before="2023-08-1" => To Filter The History With The Date, this means show me all the commits before this date. +# git log --grep="the_word" => This Means Show Me All The Commits That Contains the_word. +# git log filename => This Means Show Me All The Commits On This File. +# git log master..branch_name => This means show me all the commits that are in branch_name and not in master +# git reset --hard hashCommit => To Remove The Last Commit And Put The Pointer To The Specific Commit Hash You Enter +# git push origin main --force => To Force The Updates +# .gitignore => To Ignore Files And Directories In The Working Project We Need First To Create .gitignore file +# Note: Put The Files And Directories You Want To Ignore In The .gitignore File +# Note: *.log => Means That It Will Ignore Any File Ending With The Extension .log +# Note: !FileName => Means That Not Ignoring This Specified File +# git add -f filename => Adding A File Even If It Was In The .gitignore file +# git tag => To Show You All The Tags +# git tag tagName (v1.0) => To Name A Tag +# git push origin tagname(v1.0) => To Push The Tag To The Github +# git tag -a tagName -m "The Message You Want" => To Create Unnotated Tag +# git tag -l "Tags You Want" => To List All The Tags +# git tag -d tagName => To Remove A Tag Localy +# git push origin --delete tagName => To Remvoe A Tag Remotely +# git diff => To see unstaged things. +# git diff --staged => To see what we have in the staging area that's going to the next commit. +# git diff branch_name => To show you the changes between this branch and the master +# git show => To see the changes of the last commit. +# git show ID => To See The Changes We Commited. +# git show HEAD~steps => To See The Changes We Commited, example git show HEAD~1 => this means one step after the head.\ +# git ls-tree ID => To show all the files in a commit in a tree form. +# git shortlog => To Show The Contributors In This Repository. +# git blame file_name => To show all the lines added to the flie_name and their authors. +# git blame -e file_name => To see the email of the author. diff --git a/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_HTML.html b/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_HTML.html new file mode 100644 index 0000000..23703cb --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_HTML.html @@ -0,0 +1,333 @@ + + + + + + + + New Beginning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + +
+ +
+
+
+ +
+
+ + \ No newline at end of file diff --git a/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Linux.py b/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Linux.py new file mode 100644 index 0000000..9e1552e --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Linux.py @@ -0,0 +1,234 @@ +################################################################### Linux Operating System ################################################################### + +######### Linux File System ########## + +## Notes ## +# 1- The Linux File System Follows A Tree-Like-Structure +# 2- / => Is The Very Top (Root) Of The File Tree (Every Folder Is Under It) +# 3- /bin => Stores Common Linux User Command Binaries like date, cal, cat Commands are in here +# 4- /home => where the home dicrectories for regular users are stored (/home/mohamed) +# 5- /root => the home folder the root user or the super user +# 6- /sbin => contains adminstrative commands (binaries) for the root user +# 7- /usr => contains files that belongs to the user +# 8- . => refers to the current directory +# 9- .. => refers to the parent folder +# 10- Absolute paths => start at the base (/) dreictory +# 11- Relative paths => start from the current directroy +# 12- In linux file extenstions don't matter, the system looks to the contents of the file rather than his name, system looks to the header of the file rather than it's extension +# 13- + + +## Navigating the file system ## +# mohamed@VB:~$ +# mohamed => the name of the user +# VB => The virtual box +# ~ => in the bash shell that telda (~) represents the home folder for the current user + +# Commands +# 1- pwd => print working directory + +# 2- ls => list the folders of the directory you are currently in == ls /home/mohamed == ls ~ == ls +# 3- ls -F => will classify the folders and files ( folders will represents in blue color , files will represents in white color ) +# 4- ls -l => list the files in long format +# 5- ls -h => list the files in human readable format == ls --human-readable +# 6- ls -a => list all the files including hidden ones +# 7- ls -f => list all entries in directory order +# 8- ls -i => print the index of each file and folder + +# 9- cd => By Default Will Take You To The Home Folder == cd ~ == cd /home/mohamed +# 10- cd . => refers to the crrent directroy +# 11- cd .. => will take you to the parent folder of the folder you are currently in +# 12- file => will till you the type of the file + +## WildCards ## +# (*) => Means Everything regardless of length +# Note that wildcards is case sensitive +# Examples +# 1- ls D* => Will list any directroy starts with capital D letter +# 2- ls * => will list every directroy and files +# 3- ls *.txt => will list every file ends with .txt + +# (?) => Means only one thing => it refers to only one character +# (??) refers to two character +# Examples +# 1- ls ?.txt => means list everyfile ends with .txt but has only one character before the ? wildcard +# 2- ls ??.txt => means list everyfile ends with .txt but has only two characters before .txt + +# ([]) => Similar to the ? wild card but it refers to only specific one character, matches just one place but allows you to specify options +# Examples +# 1- ls file[1-9].txt => will list every file ends with .txt but only the ones who have number from 1 to 9 (file1.txt, file2.txt, file3.txt, file4.txt, file5.txt, file6.txt, file7.txt, file8.txt, file9.txt) +# 2- ls file[12].txt => will list every file ends with .txt but only the ones who have number 1 or 2 (file1,.txt file2.txt) +# 3- ls file[A-Z].txt => will list every file ends with .txt but only the ones who have letter from A to Z +# 4- ls file[1-9][A-Z][a-z].txt => will list every file have this pattern (file11.txt, file1A.txt, file3c.txt) + +## Creating Files And Directories ## +# note:- If you want to create a file or a folder with space between two words you should put the name between double quotes or single quotes "Mohamed Salama" +# 1- touch => Creates Empty file +# 2- mkdir => creates empty folder +# 3- mkdir -p => creates the entire folder path example (mkdir /FolderNotExist/folder) + +## Brace Expansion {} ## +# Example +# mkdir {jan,feb,mar,apr,jun,jul}{2010..2023} => will create a bunch of folders with this pattern (jan2010,jan2011...jan2023, feb2010,feb2011...feb2023,....jul2010,jul2011..jul2023) +# touch {jan,feb,mar,apr,jun,jul}{2010..2023}/file{1..100}.txt => this means in every folder of this create a 100 file from 1 to 100 +# touch file{1,2,3} == touch file{1..3} => will create these files (file1,file2,file3) + + +## Deleting Files And Folders ## +# rm => delete files +# rmdir => delete empty directories +# rm -r => delete the folder and everything inside of it +# rm -i => will ask you before deleting (More Save) + +## Copying Files And Directroies ## +# Syntax +# cp [the file you want to copy] ... [the destination] + +# cp -r => means copy the folder and everything inside it + +## Moving And Rename Files And Folders ## +# rename the file/folder if it's exists +# mv [old_name] [new_name] + +## Editing Files With Nano ## +# Notes:- +# 1- you can create files with nano command +# 2- ^ => this symbol means CTRL on the keyboard +# 3- M- => stands for modify and it's alt key on the keyboard +# 4- Nano configuraton file located in /etc/nanorc +# 5- ./ means the folder you are currently in + +## Finding Files/Folders ## +## The Locate Command ## +# the locate command searches a database for files and returns a list of results +# to avoid errors use --existing and --follow options +# best thing to do is just update the database (done automatically daily) +# Note:- when you locate some files with the locate command it's first looking for them in the database in this path /var/lib/plocate +# syntax +# locate options [files you want to find] + +# locate -i => means locate without case sensitive +# locate --limit 3 => locate only 3 files +# locate -S => To show you the database for the locate command +# locate -e or --existing => this means check if the files are existing in the database or not before printing them +# locate --follow => to tell you if the symbolic links arrived in the right place +# sudo updatedb => to update the database to give you more accurate results + +## Find Command ## +# it does not need a database so it's always up to date and you do not need to update database, and it is more powerful than the locate command +# it is a bit slower than the locate command, locate is faster because it depends on a database +# the default behaviour of find command is it searches for every file/folder in the current directory and everything below it including hidden ones +# wc -l => will define the number of lines of the output + +# Examples +# find /home/mohamed => will list every single file and folder in mohamed and everything below it +# find -maxdepth input => specify the depth of the searching (find . -maxdepth 3) +# find -type => specify the type f stands for file, d stands for directory (find . -type f) +# find -name => to search by name (find . -iname "file.txt", i option here means case insensitive) +# find -size => to search by the size (find / -size +100k -100k), (find / -size -10k -o size +5M) +# find -exec => you can use the -exec option to execute another command on each of the results and remember to end the command with \; (sudo find / -type f -size +100k -size -300k -exec cp {} ~/Desktop/copyFile \;) +# find -ok => works the same as -exec but it is more save because it's ask you before doing anything + +## Viewing Files ## +# cat => it's stands for concatenate and it reads the content of the file +# Example +# cat file[1-5].txt > hello.txt == cat file{1..5}.txt > hello.txt => will show the content of the five files and redirect it to hello.txt file + +# tac => read the content of the file in reverse (it's the backwards of cat command) +# rev => read the content of the file in reverse but it's reverse each line horizontally +# less => read the content of the file but it's more easier (let you scroll through large content) +# head => it's useful command when you need to see just a piece of the content (by deafult will show you the first 10 lines) +# head -n input => will show you the number of lines you specify +# tail => it works excatly like the head command but it's starts from the tail of the file + +## Soring Data ## +# sort => sort the data alphapitaclly from (a-z) (0-9) +# sort -r => sort the data from (z-a) +# sort -n => sort the numbres numercally (depends on the vlaue of the number) +# sort -u => will remove dupliates +# sort -k => this option can sort tabular data, sort by column (ls -l /etc | sort -k 5nhr) +# Example +# ls -lh /etc | head -n 20 | sort -k 6M => will sort by column 6 and M here means sort by month + +## Search File Content ## +# grep command will search what ever input you give it for lines that contain a particular piece text that you tell it to search for +# Syntax +# grep "what you are looking for" (the file) +# Examples +# grep -c "e" file.txt => will return the numbers of lines that contains the letter e +# grep -v "e" file.txt => will reverse the search (will search for the lines that doesn't have the letter e) +# grep -i "E" file.txt => -i means case insensitive +# ls =F /etc | grep -v / | sort -r > files.txt => will list every file in the etc folder with classfication then search only for the files does not contain the / symbol and then sort files reversely from z-a and then but the files in the files.txt file + +# File Archieving And Compression +# Archiving files is basically two step process:- 1- create a tarball 2- compress tarball +# we use tar command to create the tarball +# tarballs are containers to store files in for compression +# tar -cvf ourarchive.tar files => -c let the tar command know that we want to create a new archieve, -v tell the tar command to give us feedback (optional), -f let the tar command accept files +# Examples +# tar -cvf ourarchive.tar file[1-3].txt => creat an archive for the file 1, file2, file3, ourarchive.tar is the archive name +# tar -tf ourarchive.tar => to see what is in the archive without extracting the data inside it, -t means test label and it basically lets you check what's inside tha tar file +# tar -xvf archive.tar => to extract the files inside the archive, -x means execute the files + +## Compression ## +# Compression happens using compression algorithms and there are two main compression alghorithms in use in the linux world (gzip, bzip2) +# gzip alghorithm is faster but has less compression power +# bzip2 has more compression power but does require more time +# Examples +# gzip archive.tar => compress archives with the gzip alghorithm +# gunzip archive.tar.gz => un compress the archive + +# bzip2 archive.tar => to compress the archive with the bzip alghorithm +# bunzip2 archive.tar.bz2 => to uncompress the archive + +# zip compression +# zip archive_name file1 file2... => to compress the files to zip +# unzip archive_name => to unzip the archive + +# examples +# tar -cvzf archive.tar.gz file1,file2... => to compress the files in one step with gzip algorithm +# tar -cvjf archive.tar.bz2 file1,file2... => to compress the files in one step with bzip2 alghorithm + +# Note /dev/null => will delete any folder or file you redirect to it + + +########### Bash Scripts ########### +# best behaviour to create scripts is ( to run your scripts from anywhere in your system ) +# 1- create a folder called bin in your home directory (all in lower case) +# 2- move all you scripts inside it +# 3- add execute permission to your scripts ( chmod +x script.sh ) +# 4- add the /bin folder we created to the $PATH of the system which contians all the files that contains all the commands +# 4- edit the .bashrc file in your home directory (nano .bashrc) +# 5- in the end of the file write this command (PATH="$PATH:$HOME/bin") + + +## To create bash scripts ## +# 1- you need to create file ending with .sh +# 2- open the file and put this shabam as the first line #!/bin/bash => this line tells the shell this is a bash file + +## To create python scripts ## +# 1- you need to create file ending with .py (extensions doesn't matter in linux) +# 2- open the file and put this shabam as the first line #!/usr/bin/python3 => this line tells the shell this is a python file + +# Note:- /dev/null => is a place in the system called the bit bucket which basically deletes whatever is sent to it. +# Shortcut:- CTRL + k => delete the line you are currently standing in + +## Commands ## +# bash filename.sh => to run the script +# cat script.sh => to see the content of the script + + +##### Schedule Commands And Scripts Using cron ##### +# cron is a command line program that is used to schedule tasks +# Each user has a cron tab which is basically is just a text file and each cron tab list which commands or scripts will be run automatically by that user and also list when they will be scheduled to be run +# every user has a crontab, this can be edited using crontab -e +# each crontab is broken up into rows, each row has 6 columns, first 5 columns is for scheduling information and the sixth column details which command or a script should be run at the schedule time +# The columns are m(0 to 59),h(0 to 23),dom(1,29),mon(1 to 12 or JAN,FEB),dow(0 to 6 or sat,mon) command or script + +# Commands +# crontab -e => to edit the crontab of the user (choose 1 for nano because it is the easiest way) +# select-editor => to change the editor later +# Note:- there is another way to change the editor => in your home directory edit the hidden file which is .selected_editor and put the path for the new editor +# * stands fon "Any" +# */15 means run every 15 (minutes,day) +# to schedule the scripts you need to write in the command section the following ( bash the path to your script ) => bash ~/bin/script.sh diff --git a/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_MySQL.py b/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_MySQL.py new file mode 100644 index 0000000..e393303 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_MySQL.py @@ -0,0 +1,226 @@ +# A Database :- is a collection of data stored in a format that can easily be accessed, in order to manage our databases we used a software application called DBMS (Database Management System) + +### Difference Between SQL & MySQL ### +# SQL ( Structured Query Language ) is a programming language used to manage and manipulate relational databases. It is used to perform various tasks such as inserting, updating, deleting +# or querying data in a database. SQL is not a database management system, but rather a language that database management systems use. +# MySQL, on the other hand, is a popular Relational Database Management System ( RDBMS ) that uses SQL as it's language for managing and manipulating data. +# MySQL is open-source and is widely used on the web and in enterprise applications. +# In summary, SQL is a language used to work with databases while MySQL is a specific type of database management system that uses SQL as its language. +# Other popular RDBMS that use SQL include Oracle, Microsoft SQL Server, and PostgreSQL. + +# DBMS Divided To:- +# 1- Relational Databases ( SQL ) => like MySQL, SQL Server, Oracle +# in relatoinal databases we used tables that connected with each others by relationships. +# SQL ( Structured Query Language ) => is the language we use to work with Relational DBMS, or it is the language we use to talk to our databases. +# 2- Non Relational Databases or NoSQL +# in non relational databases we don't have tables or relationships, don't understand SQL, they have their own query langauge such as MongoDB. + +# Query => Is the line of code you write with SQL language. +# subquery => It's a query within a larger query, we surround it with parentheses, and this tells MySQL to run subquery first. + +# When you learn SQL language with any DBMS like mysql it's not that hard to switch to other DBMS that also uses SQL language like ( SQLite or PostgreSQL, Oracle ). + +# There's alot of data types in mysql like varchar ( string ), int ( numbers ). +# varchar(10) => this means you can write 10 characters maximum ("Mohamed"). +# int => is just a number (432). + +# CRUD => it stands for Create Read Update Delete. + + +############# Data Types ############# +# 01- CHAR(length) => To store strings, it has a fixed length, we use char when our data is similar in size, EX CHAR(3) => this means that this column +# should always be three characters, but if it's smaller than 3 characters MySQL will exapnd it using whitespace characters to fit +# three characters, and will take 3 bytes of memory. +# 02- VARCHAR(length) => To store strings, we use it when we don't know the length of the string or when we insert long strings, it's more efficient. +# 03- INT or INTEGER => To store large numbers. +# 04- TINYINT => To store small numbers (up to 127). +# 05- BIGINT => To store larger numbers. +# 06- SMALLINT +# 07- MEDIUMINT +# 08- DECIMAL(total number of digits, digits after decimal) +# 09- FLOAT => it takes 4 bytes in the memory. +# 10- DOUBLE => DOUBLE is more precsion than float, it takes 8 bytes in the memory. +# 11- DATE => It stores a date with no time involved with format YYYY-MM-DD. +# 12- TIME => It represents the time with no date with format HH:MM:SS. +# 13- DATETIME => It store values with date and time with format YYYY-MM-DD HH:MM:SS. + + +############# Commands ############# +# 01- SHOW DATABASES; => To show the databases you created. +# 02- CREATE DATABASE ; => To create a database. +# 03- DROP DATABASE ; => Will remove the database and it's content. +# 04- USE ; => To work with the database we choose. +# 05- SELECT DATABASE(); => To show you the database you are currently working in. +# 06- CREATE TABLE table_name ( => To create a table (create table if not exists). +# column_name data_type, +# column_name data_type +# ); +# 07- CREATE TABLE table_name ( => To create a table, NOT NULL means that this column shouldn't be empty you must +# column_name data_type NOT NULL, write a value into it or it will raise an error. +# column_name data_type NOT NULL +# ); +# 08- CREATE TABLE table_name ( => To create a table with a default value. +# column_name data_type DEFAULT 'Mohamed', +# column_name data_type DEFAULT 10 +# ); +# 09- CREATE TABLE table_name ( => To create a table, PRIMARY KEY means that this column shouldn't have the same value, +# column_name data_type PRIMARY KEY, the value of this column should be unique. +# column_name data_type +# ); +# 10- CREATE TABLE table_name ( => Another Syntax For Primary Key. +# column_name data_type, +# column_name data_type, +# PRIMARY KEY(column_name) +# ); +# 11- CREATE TABLE table_name ( => AUTO_INCREMENT will automaticaly generate the numbers (1...100). +# column_name data_type AUTO_INCREMENT PRIMARY KEY +# ); +# 12- CREATE TABLE table_name ( => UNIQUE means that you can't add the same value in the same column, the value should be unique. +# column_name data_type UNIQUE +# ); +# 13- CREATE TABLE table_name ( => To check for a condition. +# column_name data_type CHECK (Condition) +# ); +# 14- CREATE TABLE table_name ( => To rename the constraint name as we want, it is good for us to understand the error. +# column_name data_type, +# CONSTRAINT constraint_name CHECK (Condition) +# ); +# 15- SHOW TABLES; => To show the tables of the database you currently in. +# 16- SHOW COLUMNS FROM table_name; => To show you information about the columns of the table you choose. +# 17- DESC table_name == DESCRIBE table_name; => To show you information about the columns of the table you choose. +# 18- DROP TABLE table_name; => To delete the specified table. +# 19- -- => To comment your line or query, shortcut key is CTRL + /. +# 20- INSERT INTO table_name(columne_one, columne_two) VALUES (value1, value2); => To insert data into tables. +# 21- SELECT * FROM table_name; => This tells SQL give me everything you have in this specified table. +# 22- INSERT INTO table_name(columne_one, columne_two) VALUES (value1, value1), (value2, value2); => This is for multiple inserting. +# 23- SELECT * FROM table_name; => This means give me all the data in all columns. +# 24- SELECT column_name FROM table_name; => This means give me only the data in this column name. +# 25- SELECT column_name, column_name2 FROM table_name; => This means give me the data in these two columns. +# 26- SELECT * FROM table_name WHERE column_name="value"; => It will search for "value" and return all the rows that have it. +# 27- SELECT column_name AS col FROM table_name; => AS here for aliases and can rename the column name temporary in the output. +# 28- UPDATE table_name SET column_name="value"; => This means update everything in column_name to value ( Always use WHERE Clause to specify the value you want to change ). +# 29- UPDATE table_name SET column_name="value", column_name2="value"; => To update multiple values. +# 30- DELETE FROM table_name; => This will delete every row from the table, will empty the table but it's still exists ( don't use it like this ). +# 31- DELETE FROM table_name WHERE column_name="value"; => This will delete only the specified value. +# 32- SHOW WARNINGS; => To show you the warnings you get. +# 33- SELECT SLEEP(time_in_seconds); => To stop the database from working for a specific amount of time. +# 34- ALTER TABLE table_name ADD COLUMN column_name data_type; => We use alter table here to add a new column to an existing table, and the values by default of the column is NULL. +# 35- ALTER TABLE table_name ADD COLUMN column_name data_type NOT NULL; => NOT NULL here means that the values of this column shouldn't be null. +# 36- ALTER TABLE table_name ADD COLUMN column_name data_type DEFAULT 1; => DEFAULT here means that the default values of the new column should be 1. +# 37- ALTER TABLE table_name DROP COLUMN column_name; => To drop a column from a table. +# 38- RENAME TABLE table_name TO new_table_name => To rename a table. +# 39- ALTER TABLE table_name RENAME TO new_table_name => another syntax to rename a table. +# 40- ALTER TABLE table_name RENAME COLUMN old_column_name TO new_column_name => To rename a column of a table. +# 41- ALTER TABLE table_name MODIFY column_name data_type => We use modify to change an existing column type. +# 42- ALTER TABLE table_name CHANGE old_col_name new_col_name data_type => We use change to rename a column and change it's data type + + +############# Notes ############# +# 01- is sql case sensitive? It depends on the database management system being used. In general, SQL is not case sensitive for keywords such as SELECT, FROM, WHERE, etc +# However, it may be case sensitive for identifiers such as table and column names, depending on how the database has been configured or the collation sequence being used +# For example, in some databases, "mytable" and "MyTable" could refer to different tables. +# 02- my sql doesn't care about new lines. +# 03- A database is just really a bunch of tables at least in relational databases, tables holding the data. +# 04- Table is a collection of related data held in a structured format within a database, it contains columns and rows. +# 05- When you put ; in the end of a line you tell SQL this is the end of the command or the query. +# 06- Null in SQL doesn't means zero it means no value at all or unknown. +# 07- Before you perform update and delete operations be sure selecting the right data you want to update or delete. +# 08- WHERE Clause to specify and select the exact value you want. +# 09- DISTINCT Clause which is used to eliminate duplicate results ( will remove duplicates ), it comes after the SELECT and before the column_name. +# 10- ORDER BY Clause it is used to order the data as we want, it comes at the end of the query, by default it sorted alphapitcally (a-z) (ASC). +# 11- When we use DESC it will describe the table, but when we use it after ORDER BY Clause it will sort the values from (z-a) (DESC). +# 12- LIMIT Clause allows you to control the number of results you get back, followed by a number. +# 13- LIKE Clause you can use it when you serach for something and you don't remember exctly what it is and we use % before and after the value (%moh%), % means zero character or more +# and it called wildcards, it's optional, ____ (four underscores) means search for four characters because every underscore represents exactly one charcater we can escape them ( %, _ ) +# with escape sequence like this "%\%%", "%\_%". +# 14- GROUP BY Clause summarizes or aggregates identical data into single rows. +# 15- SIGNED means the number could be negative or positive. +# 16- UNSIGNED means the number must be positive. +# 17- HAVING CLAUSE is used with GROUP BY and it's used to filter the groups that we get back from GROUP BY. +# 18- WITH ROLLUP Clause it's only working with GROUP BY and it will gives you a summary of all the rows in the table + + +############# String Functions ############# +# 01- CONCAT(column_one, column_two, string, ...) => Combine data for cleaner output ( you should use SELECT before it to work or it will raise an error ). +# 02- CONCAT_WS(separator, column_one, string, ...) => Stands for concat with separator, it means that it will put a separator you choose between every values you put. +# 03- SUBSTRING(column_name, start position, length) => It takes a single larger string and returns a smaller part of that string == SUBSTR(). +# 04- REPLACE(initial_str, old_str, new_str) => It replaces old string with new string ( Case Sensitive ). +# 05- REVERSE(str or int) => Will take whatever string or int we provide to it and reverse it (When you try to reverse NULL it will gives you NULL ). +# 06- CHAR_LENGTH(str) => It's going to tell us the number of characters in a given string. +# 07- LENGTH(str) => Returns the length of the string measured in bytes +# 08- UPPER(str) => Will make all the characters of the string upper == UCASE(). +# 09- LOWER(str) => Will make all the characters of the string lower == LCASE(). +# 10- LEFT(string, number_of_chars) => Will Return the number of chars you need from left of the string. +# 11- RIGHT(string, number_of_chars) => Will Return the number of chars you need from right of the string. +# 12- INSERT() => It allows us to insert some substring into another string. +# 13- REPEAT(str, number_of_repeats) => Will repeat the string number of times. +# 14- TRIM(str) => Will Remove the spaces in the beginning and the end of the string not spaces between string. +# 15- COUNT(column_name) => This tells you how many values are present in this column, NULL does not enter in the count. +# 16- MIN(column_name) => Will give you the minimum number. +# 17- MAX(column_name) => Will give you the maximum number. +# 18- SUM(column_name) => Will give you the sum of all the values in the column_names, when you use sum with strings it gives you zero. +# 19- AVG(column_name) => Will give you the average number. +# 20- CURRENT_DATE() => Will give you the current date, CURDATE() is the shortkey. +# 21- CURRENT_TIME() => Will give you the current time, CURTIME() is the shortkey. +# 22- CURRENT_TIMESTAMP() => Will give you the actual datetime now, NOW() is the shortkey. +# 23- DAYOFMONTH() => Will give you only the day of specific date, DAY() is the shortkey. +# 24- DAYOFWEEK() => Will give you only the day of the week as a number. +# 25- MONTHNAME() => Will give you the name of the month. +# 26- DATE_FORMAT(date, format) => Will give you the format date you want. +# 27- TIME_FORMAT(time, format) => Will give you the format time you want. +# 28- DATEDIFF(exp1, exp2) => Will differ the exp1 - exp2. +# 29- CAST(string AS data_type) => It takes a string and convert it to the data type you want. +# 30- IFNULL(expression, replace) => it takes some expression and evaluate it and if ti's null it replaces with what ever we put in replace. + + +############# Logical Operators ############# +# 01- Not Equal ( != ) => Technically it is a comparsion operators. +# 02- NOT LIKE +# 03- Greater Than ( > ) => Technically it is a comparsion operators. +# 04- Less Than ( < ) => Technically it is a comparsion operators. +# 05- Greater Than or Equal To ( >= ) => Technically it is a comparsion operators. +# 06- Less Than or Equal To ( <= ) => Technically it is a comparsion operators. +# 07- Logical AND ( AND ) => The two conditions should be True, When one condition is not true sql will evaluate an empty table. +# 08- Logical OR ( OR ) => Only one condition should be True. +# 09- Logical BETWEEN ( BETWEEN ) +# 10- Logical NOT BETWEEN ( NOT BETWEEN ) +# 11- IN Operator ( IN ) +# 12- NOT IN Operator ( NOT IN ) +# 13- IS NULL Operator ( IS NULL ) +# 14- IS NOT NULL Operator ( IS NOT NULL ) + + +############ Relationships And Joins ############ +# There's 3 categories of relationships +# 1- One to one relationship +# 2- Many to many relationship +# 3- One to many relastionship ( the most common ) + + +########### Views In MySQL ( Like Aliases ) ########### +# views allow us to take a query that returns some results and we'll be able to store it and give it a name and then we'll be able to treat it as a true table but in fact it's a virtual table +# and when you show your tables it will appear in it and you can work with it as if it's a real table, and it's allow us to write shorter querys. + +# NOTE: Some views are updateable and insertable. + +# 1- CREATE VIEW the_name AS the_query +# 2- DROP VIEW table_name => To delete a view. +# 3- CREATE OR REPLACE VIEW the_name AS the_updated_query => To update the view or to update the query in the view. +# 4- ALTER VIEW the_name AS the_query => To update the view or to update the query in the view. + + +########### Modes In MySQL ########### +# Thye're basically settings that we can turn on and off to change the behaviour and the validations of my MySQL. + +# There's to different scopes for a SQL mode and it's +# 1- GLOBAL Mode => What settings are enabled globally. +# 2- SESSION Mode => What settings are enabled or disabled in your current session. + +## Some Modes ## +# 1- ERROR_FOR_DIVISION_BY_ZERO => This mode prevents divisions by zero it will work if you division a number by zero but it will gives you a warning. +# 2- STRICT_TRANS_TABLES => This mode controls how MySQL handels invalid or missing values in data-change statments such as INSERT or UPDATE, in other words it's responsible for +# what happens when you try inserting a string into a column that accepts numbers or the opposite. + +# 1- SELECT @@GLOBAL.sql_mode; => To show you the settings of the global mode. +# 2- SELECT @@SESSION.sql_mode => To show you the settings of your current mode. +# 3- SET SESSION sql_mode = "the_mode" => To change the modes, SET SESSION sql_mode="" => This means remove all modes. diff --git a/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Python.py b/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Python.py new file mode 100644 index 0000000..be4753f --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/tips/Every_Thing_About_Python.py @@ -0,0 +1,3838 @@ +# python is a dynamically typed language ( data can change during run time ). +# Mutable => Means That You Can Change It Just Like Lists. +# Immutable => Means That You Can't Change It Just Like Strings. +# [] => Square Brackets. +# () => Parentheses, Prackets. +# {} => Curly Braces, Curly Prackets. +# variable just refering to the location of the data in the computer memory. +# expression is part of a code that produces a value. +# statement is an entire line of code that performs some sort of action. +# Python is a grabage collection language uses the mark and sweep alghroithm in deleteing obejcts in the memory. +# == => checks for the equality in value. +# is => checks for the equality in value and type. + + +# """ +# This is +# not multipile line +# comment +# """ # This Is Not Comment It's A String + + +### How to see the bytecode before it converted to 0,1 +# source_code = """ +# def greet(name): +# print(f"Hello {name}") +# greet("Mohamed") +# """ + +# compiled_code = compile(source_code, filename="code.txt", mode="exec") + +# import dis +# dis.dis(compiled_code) + + +# name = input("What's Your Name: ") # inpute function always produces a string +# print("Hello " + name) +# print(type(name)) # Always String +# a = 20 / 5 +# print(a) +# print(4 // 4) +# print(26 // 4) +# print(16 // 5) +# print(abs(-9.3)) +# print(bin(150)) +# print(int("0b10010110", 2)) +# help("keywords") # Reserved Words + + +### Augmented Assignment Operartor ### +# value = 10 +# value *= 10 +# print(value) + + +### Opeartor Precedence ### (الاولوية للعمليات الحسابية) +# 1- () +# 2- ** +# 3- * / +# 4- + - + +# type conversion +# a = str(100) +# b = int(a) +# c = type(b) + +# print(c) + + +###### escape sequneces ###### +# ---------------------------- +# Escape Sequences Characters +# \b => Back Space +# \newline => Escape New Line + \ +# \\ => Escape Back Slash +# \' => Escape Single Quotes +# \" => Escape Double Quotes +# \n => Line Feed +# \r => Carriage Return +# \t => Horizontal Tab +# \xhh => Character Hex Value +# ---------------------------- + +# Back Space +# print("Hello\bWorld") # Will Remove o + +# Escape New Line + Back Slash +# print("Hello \ +# I Love \ +# Python") + +# print("""Hello +# I Love +# Python +# """) + +# Escape Back Slash +# print("I Love Back Slash \\") + +# Escape Single Quote +# print('I Love Single Quote \'Test\' ') + +# Escape Double Quotes +# print("I Love Double Quotes \"Test\" ") + +# Line Feed +# print("Hello World\nSecond Line") + +# Carriage Return +# print("123456\rAbcde") + +# Horizontal Tab +# print("Hello\tPython") + +# Character Hex Value +# print("\x4F\x73") + +# weather = "\tIt's sunny \"today\"\n\tHope you have a beautiful \"day\"" +# print(weather) + + +##################### string Format ##################### +# name = "Mohamed" +# age = 22 +# print("Hello " + name + " You Are " + str(age) + " Years Old.") +# print(f"Hello {name} You Are {age} Years Old.") +# print("Hello {} You Are {} Years Old".format(name, age)) +# print("Hello %s You are %.2f Years Old." % (name, age)) + + +##################### Indexing In Python ##################### +# Slicing: [start:End:Step] => Not Including The End +# name = "Mohamed" +# print(name) +# print(name[0:3]) +# print(name[0:len(name)]) +# name[0:1] = "a" # Strings In Python Are immutabile (You Can't Change The Strings) + +# name = "Mohamed Salama" +# name2 = name.replace("Mohamed", "Gehad") +# print(name) +# print(name2) + +# name = "Mohamed" +# age = 22 +# relationship_Status = "It's Complicated" +# relationship_Status = "Single" +# print(relationship_Status) + +# birthday = int(input("What Year Were You Born? ")) +# age = 2023 - birthday +# print("Your Age Is : %.2f" % (age)) + +# name = ["Mohamed", "Salama", "Ali"] +# name = ", ".join(name) +# print(name) + + +### Hidden Password Challenge ### +# username = input("What's Is Your Name: ") +# password = input("Type Your Password Here: ") +# password_length = len(password) +# hidden_password = password_length * "*" +# print(f"Hello {username} Your Password Is {hidden_password} And It's {password_length} letters long") + +# name = "mohamed salama" +# print(name.capitalize()) + +# Complex Numbers +# complex_number = 1 + 2j +# print(type(complex_number)) +# print(complex_number.real) +# print(complex_number.imag) +# print( +# f"Real Part In {complex_number} Is {complex_number.real} And Imaginary Part Is {complex_number.imag}") + + +### Email Exercise ### +# username = input("Waht's Is Your Username? ").capitalize().strip() +# email = input("Waht's Is Your Email? ").strip() + +# user_only = email[:email.index("@")] +# domain_only = email[email.index("@") + 1:] + +# print(f"Hello {username} Your Email Is {email}") +# print(f"Your Username Is {user_only} \nYour Domain Is {domain_only}") + + +################ Lists ################ +# [1] List items are enclosed in square brackets +# [2] List are ordered, use index to access item +# [3] List are Mutable => can be added, deleted, edited +# [4] List items is not unique +# [5] List can have different data types + +# names = ["Mohamed", "Ahmed", "Abeer"] +# names.append("Rahma") +# names.extend("manar") +# new = names.extend(["Hager", "Nada", "Nour"]) +# print(names) +# print(new) + +# nums = [2, 1, 4, 7, 6, -6] +# nums.sort() +# nums.sort(reverse=False) +# nums.sort(reverse=True) +# print(nums) + + +# usernames = ["Mohamed", "Ahmed", "Manar", "Rahma"] +# usernames[0] = "Ahmed" +# print(usernames) +# new_users = usernames[:] +# new = "Mohmed" in usernames +# new = usernames.reverse() +# print(new) +# print(new_users) + +# alphabet = ["a", "b", "c", "z", "d"] +# alphabet.sort() +# alphabet.reverse() +# print(alphabet[::-1]) +# print(alphabet) + +# two_diminsional_list = [[1, "One"], [2], [3], 4] +# print(two_diminsional_list[0][1]) + + +### Unpacking Lists ### +# one, two, three, four, five, *other = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] +# print(one) +# print(two) +# print(three) +# print(four) +# print(five) +# print(*other) + +# a, b, c, _ = [1, 2, 3, 4] +# print(a) +# print(b) +# print(c) +# print(_) + +# my_list = ["Mohamed", "Ali", "Youssef"] +# print(*my_list) + +## Lists Comprehensions ## +# It's a unique way in python for creating lists without looping or using append method +# Syntax => [param for param in iterable] + +# Old Way +# my_list = [] +# for char in "Mohamed": +# my_list.append(char) +# print(my_list) + +# New Way +# my_list = [char for char in "Mohamed"] +# print(my_list) + +# my_list2 = [num for num in range(1,101)] +# print(my_list2) + +# my_list3 = [number ** 2 for number in range(1,100)] +# print(my_list3) +# printing only the even numbers from my_list3 +# my_list4 = [num ** 2 for num in range(1,100) if num % 2 == 0] +# print(my_list4) + +### Exercise => Find Duplicates in the list +# my_list = ["a", "b", "c", "b", "d", "m", "n", "n"] + +# duplicates = list(set([x for x in my_list if my_list.count(x) > 1])) +# print(duplicates) + + +################ Tuples ################ +# [1] Tuple items are enclosed in parentheses +# [2] You can remove the parentheses if you want +# [3] Tuple are ordered, to use index to access item +# [4] Tuples Are Immutables => Means That You Can not Add Or Remove Any Element In The Tuple +# [5] Tuples items is not unique +# [6] Tuple can have different data types +# [7] Operators used in strings and lists avaliavble in tuples + +# Tuples Syntax +# names = ("Mohamed", "Ahmed", "Manar") +# names2 = "Mohamed", "Manar", "Abeer", 1 +# print(names) +# print(type(names2)) + +# Tuples With One Element +# my_tuple = ("Mohamed",) +# name = "Mohamed", + +# print(type(my_tuple)) +# print(type(name)) + +# Tuple Destruct +# a = ("A", "B", 2, "C") +# x, y, _, z = a + +# print(x) +# print(y) +# print(z) + +# a,b,c,_,d = (1,2,3,4,5) +# print(a) +# print(b) +# print(c) +# print(d) + +# a = ("A", "B", "C", "D", "E", "F") +# x, y, z, *others = a + +# print(x) +# print(y) +# print(z) +# print(*others) + + +################ SETS ################ +# [1] Set items are enclosed in curly braces +# [2] Set items are not ordered and not indexed +# [3] Set indexing and slicing can not be done +# [4] Set has only Immutable data types (Numbers, Strings, Tuples) List and dict are not +# [5] Set items is unique + +# names = {"Mohamed", "Manar", "Donia"} +# names.clear() +# print(names) +# names2 = {"Reem", "Mona"} +# print(names.union(names2)) +# print(names | names2) +# print(names) +# names.add('Heba') +# print(names) +# new = names.copy() +# print(names) +# print(new) +# names.add("Reem") +# print(names) +# print(new) +# names.remove("Mohamed") +# print(names) +# names.discard("Abeer") +# print(names) +# print(names.pop()) +# print(names) +# names.update(names2) +# print(names) + +# my_set = {"Mohamed", 1, 2, 4, 3} +# my_set.add(6) +# new_set = my_set.copy() + +# print(my_set) +# print(new_set) + +# my_list = [1, 2, 3, 4, 5, 5] +# print(set(my_list)) + + +# Set Comprehension ( Same as list comprehension ) +# my_set = {letter for letter in "Mohamed"} +# print(my_set) + +# my_set2 = {num for num in range(1,10) if num % 2 == 0} +# print(my_set2) + + +############### Dictionarys ############### +# [1] Dict items are enclosed in curly braces +# [2] Dict items contains key : value +# [3] Dict key need to be Immutable => (Number, string, tuple), List not allowed +# [4] Dict value can have any data types +# [5] Dict key need to be unique +# [6] Dict is not ordered, you can access the value by it's key + +# my_dict = { +# "name": "Mohamed", +# "age": 22, +# "country": "Egypt", +# } +# my_dict["Gender"] = "Male" +# print(my_dict.keys()) +# print(my_dict.values()) +# print(my_dict["name"]) + +# fromkeys Method +# my_keys = "name", +# my_values = "Mohamed" + +# my_dict = dict.fromkeys(my_keys, my_values) +# print(my_dict) # Dictionary + +# user_info2 = dict(name="Mohamed", age=33, country="Egypt") +# print(user_info2) + + +# dictionary = { +# "One": ["Mohamed", "Hager", [ +# "Man", "Girl"]], +# "Two": 2, +# "Three": 3, +# "Four": 4, +# True: "true", +# 123: "One", +# "Mohamed": "Mohamed", +# "Mohamed": "Mona" +# } +# print(dictionary) + + +# user_info = { +# "name": "Mohamed" +# } +# print(user_info.get("name")) +# print(user_info["name"]) +# print(user_info.keys()) +# print(user_info.values()) +# print(user_info.items()) + + +# Dictionary Comprehension +# simple_dict = { +# "a": 1, +# "b": 2 +# } + +# my_dict2 = {k:v**2 for k,v in simple_dict.items() if v % 2 == 0} # standard_way +# print(my_dict2) + +# my_dict = {(key, value**2) for key,value in simple_dict.items()} # my_way => will return a dictionary contain two tuples {("a", 1), ("b", 4)} +# print(my_dict) + +# my_dictionary = {num:num*2 for num in [1,2,3] if num % 2 == 0} +# print(my_dictionary) + + +################ Control Flow ################ +### boolean Values (False) ### +# print(bool()) +# print(bool(0)) +# print(bool("")) +# print(bool('')) +# print(bool([])) +# print(bool(())) +# print(bool({})) +# print(bool(False)) +# print(bool(None)) + + +# name = input("What's Your Name:- ").strip().capitalize() +# country = input(f"What's Your Country {name}: ").strip().capitalize() +# student = input( +# f"Hello {name}, Are You A Student? : (Y, N) ").strip().capitalize() +# course_name = "Python" +# course_price = 100 + +# if country == "Egypt" or country == "Russia": +# if student == "Y": +# print( +# f"Hello {name} Because You Are A Student And From {country}\nThe Course Will Be Free For You, Enjoy :) ") +# else: +# print( +# f"Hello {name} Because You Are From {country}\nThe Course Price Will Be {course_price - 90}") +# else: +# print( +# f"Hello {name} Because You Are From {country}\n The Course Price Will Be {course_price}") + + +# is_old = False +# is_licenced = False + +# if is_old: +# print("You Are Able To Drive The Car.") +# elif is_licenced: +# print("You Are Able To Drive.") +# else: +# print("Sorry You Can Not Drive The Car.") + + +# username = input("Waht's Is Your Name? ").strip() +# country = input("What's Is Your Country? ").strip().capitalize() +# user_age = int(input("What's Is Your Age? ")) +# course_price = 100 + +# if country == "Egypt" and user_age == 18: +# print( +# f"Hello {username} Because You Are From {country} And Your Age Is {user_age} The Course Price Is $0") +# else: +# print( +# f"Hello {username} Because You Are From {country} The Course Price Is ${course_price}") + + +# Ternary Condition +# movie_rate = 18 +# age = int(input("what's your age:- ").strip()) + +# condition = "movie is suitable for you" if age >= movie_rate else "movie is \"not\" suitable for you, you still a baby hahhahahahahahahha, go and do your homoworks :)" +# print(condition) + +# print("movie is suitable for you" if age >= movie_rate else "movie is \"not\" suitable for you, you still a baby hahhahahahahahahha, go and do your homoworks :)") + + +# age = int(input("Type Your Age: ").strip()) +# unit = input( +# "Choose The Unit : Months (M) Weeks (W) Days (D): ").strip().lower() + +# months = age * 12 +# weeks = months * 4 +# days = age * 365 + +# if unit == "months" or unit == "m": +# print(f"Your Age In Months Is: {months} Months.") +# elif unit == "weeks" or unit == "w": +# print(f"Your Age In Weeks Is : {weeks} Weeks.") +# elif unit == "days" or unit == "d": +# print(f"Your Age In Days Is : {days} Days.") +# else: +# print("Please Fill The Age Input.") + + +# country = input("What's Your Country? ").strip().capitalize() +# countries_one = ["Egypt", "Bahrain", "Syria", "Libya"] +# countries_one_dis = 80 + +# countries_two = ["USA", "Italy", "Spain"] +# countries_two_dis = 10 + +# if country in countries_one: +# print(f"Because You Are Arabian You Have ${countries_one_dis} Discount.") +# else: +# print(f"Because You Are Foreign You Have ${countries_two_dis} Discount.") + + +### Membership Practice ### +# List Contains Admins +# admins = ["Ahmed", "Osama", "Sameh", "Manal", "Mohamed"] + +# # Login +# name = input("Please Type Your Name: ").strip().capitalize() + +# # Check If The Name In Admins +# if name in admins: +# print(f"Welcome Back {name}.") + +# option = input("Delete (D) Or Update (U) Your Name? ").strip().capitalize() +# # Check If Option Is Updated +# if option == "Update" or option == "U": +# new_name = input("Type Your New Name? ") +# admins[admins.index(name)] = new_name +# print("Your Name Updated") +# print(admins) +# # Check If Option Is Deleted +# elif option == "Delete" or option == "D": +# admins.remove(name) +# print("You Delete Your Name") +# print(admins) +# else: +# print("Choose An Option First Please") + +# # Check If The Name Is Not In Admins +# else: +# status = input( +# "Sorry, You Are Not An Admin, Do You Want To Be An Admin? (Y, N)").strip().capitalize() +# if status == "Yes" or status == "Y": +# print("You Are Admin Now.") +# admins.append(name) +# print(admins) +# else: +# print("You Are Not Added.") + + +################ Loop ################ +### While Loop ### + +# a = 0 +# while a < 10: +# print(a) +# a += 1 +# else: +# print("Loop Is Done.") + +# friends = ["Mohamed", "Ahmed", "Donia", "Abeer", "Mona", "Reem", "Abrar"] +# index = 0 + +# while index < len(friends): +# print(f"#{str(index + 1).zfill(2)} {friends[index]}") +# index += 1 + + +# Bookmark Manager Exercise +# my_favourite_webs = [] +# maximum_webs = 5 + +# while maximum_webs > 0: +# website = input("Enter The Website URL Without https://").strip().lower() +# if "." not in website: +# print("Sorry You Need To Enter A Valid Website.") +# else: +# my_favourite_webs.append(website) +# maximum_webs -= 1 +# print(f"Website Added, {maximum_webs} Left") +# print(my_favourite_webs) +# else: +# print("Bookmark Is Full.") + + +# Password Checker Exercise +# tries = 4 +# correct_password = "Mohamed@123" +# password = input("Type The Password: ") + +# while password != correct_password: +# tries -= 1 +# print(f"Wrong Password, {'Last' if tries == 0 else tries} Chance Left") +# password = input("Type The Password: ") +# if tries == 0: +# print("You Used All The Tries") +# break +# else: +# print("Correct Password") + + +################ For Loop ################ +# numbers = [1, 2, 3, 4, 5, 6] + +# for num in numbers: +# # print(f"Number Is : {num}") +# if num % 2 == 0: +# print(f"{num} Is Even.") +# else: +# print(f"{num} Is Odd.") + + +# name = "Mohamed" +# for letter in name: +# print(f"The Letter Is: {letter.upper()}") + + +# myRange = range(1, 10) +# for number in myRange: +# print(number) + + +# mySkills = { +# "HTML": "20%", +# "CSS": "30%", +# "Js": "40%", +# "Python": "50%" +# } + +# for skill in mySkills: +# # print(mySkills[skill]) +# print(f"My Progress In {skill} Language Is:- {mySkills[skill]}") + + +# peoples = ["Osama", "Ahmed", "Sayed", "Ali"] +# skills = ["HTML", "CSS", "JS"] + +# for name in peoples: +# print(f"My Name Is {name} And My Skills Are") +# for skill in skills: +# print(f"{skill}") + + +# peoples = { +# "Osama": { +# "HTML": "90%", +# "CSS": "80%", +# "JS": "70%", +# }, +# "Ahmed": { +# "HTML": "60%", +# "CSS": "50%", +# "JS": "40%", +# }, +# "Sayed": { +# "HTML": "30%", +# "CSS": "20%", +# "JS": "10%", +# } +# } + +# for name in peoples: +# print(f"Hello {name} Your Skills Are: ") +# for skill in peoples[name]: +# print(f"\t{skill} => {peoples[name][skill]}") + + +##### Continue, Break, Pass ##### +# Continue +# numbers = [1, 2, 3, 4, 5, 6, 13, 15, 16, 17, 18, 20] +# for number in numbers: +# if number == 5: +# continue +# print(number) + +# Break +# for number in numbers: +# if number == 15: +# break +# print(number) + +# Pass +# for number in numbers: +# if number == 13: +# pass +# print(number) + + +# Advanced Loop In Dictionary +# skills = { +# "HTML": "90%", +# "CSS": "80%", +# "JS": "60%" +# } + +# for skill_key, skill_value in skills.items(): +# print(f"{skill_key} => {skill_value}") + +# my_ultimate_skills = { +# "HTML": { +# "Main": "90%", +# "PugJs": "80%" +# }, +# "CSS": { +# "Main": "70%", +# "SASS": "60%" +# } +# } + +# for skill_key, skill_value in my_ultimate_skills.items(): +# print(f"{skill_key} Progress Is") +# for inner_key, inner_value in skill_value.items(): +# print(f"- {inner_key} => {inner_value}") + + +# personal_info = { +# "name": "Mohamed", +# "age": 22, +# "can_swim": False +# } + +# for item in personal_info: +# print(item) # Will Print The Keys + +# for item in personal_info.items(): +# print(item) # Will Print The Whole Dictionary Keys And Values Each One In A Tuple + +# for item in personal_info.keys(): +# print(item) # Will Print The Keys + +# for item in personal_info.values(): +# print(item) # Will Print The Values + + +# Loop Exercise +# my_list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + +# counter = 0 +# for num in my_list: +# # print(num) +# counter += num +# print(counter) + + +# Range Exercises +# for _ in range(1): +# print(list(range(10))) + +# for _ in range(0, 10, 2): +# print(list(range(0, 10))) + +# To loop over numbers in the opposite direction +# for num in range(10, -1, -1): +# print(num) + + +# Enumerate Exercises +# for index, letter in enumerate("Mohamed Salama"): +# # print(str(index).zfill(2), letter) +# print(index, letter) + +# for index, num in enumerate(range(101)): +# print(index, num) +# # if num == 50: +# # print(f"The Index Of 50 Is : {index}") +# # break + + +################ Functions ################ +# [1] A function is a reusable block of code can do a task +# [2] A function run when you call it +# [3] A function accept elements to deal with called [ Parameters ] +# [4] A function can do the task without returning data +# [5] A function can return data after job is finished +# [6] A function create to prevent DRY ( Don't Repeat Yourself ) +# [7] A function accept elements when you call it called Arguments +# [8] There's a built-in functions and user defined functions +# [9] A function is for all team and all apps + +# def => For Define + +# def hello_world(): +# return "Hello World!" + + +# print(hello_world()) + + +# name = input("Type Your Name: ").strip().capitalize() + + +# def say_hello(name): +# print(f"Hello {name}") + + +# say_hello(name) + +# def addition(a, b): +# if type(a) != int or type(b) != int: +# print("Sorry You Enter An Invalid Data") +# else: +# print(a + b) + + +# addition(5, 5) + + +# def full_name(fName, mName, lName): +# print( +# f"Hello {fName.capitalize().strip()} {mName.capitalize():.1s} {lName.strip().capitalize()}") + + +# full_name("Mohamed", "Ali", "Salama") + + +# def say_hello(*names): +# for name in names: +# print(f"Hello {name}") + + +# say_hello("Osama", "Elzero", "Sayed", "Mona") + + +# def show_details(name, *skills): +# print(f"Hello {name} Your Skills Is : ") +# for skill in skills: +# print(f"{skill}") + + +# show_details("Mohamed", "Swimming", "Fighting", "Coding", "Touch Typing") + + +# def info(name, age, country="Egy"): +# print(f"Hello {name} Your Age Is {age}, And Your Country Is {country}") + + +# info("Mohamed", "22") + +# my_skills = { +# "HTML": "50%", +# "CSS": "80%" +# } + + +# def info(**skills): +# for key, value in skills.items(): +# print(f"{key} => {value}") + + +# info(html="50%", css="80%") +# info(**my_skills) + +# my_tuple = ("Reading", "Fighting", "Killing", "Touch Typing") +# my_skills = { +# "HTML": "10%", +# "CSS": "20%", +# } + + +# def skills(name, *skills_without_progress, **skill_with_progress): +# print(f"Hello {name} \nYour Skills Without Progress Is") +# for skill in skills_without_progress: +# print(f"- {skill}.") +# print(f"Your Skills With Progress Is:") +# for key, value in skill_with_progress.items(): +# print(f"- {key} => {value}") + + +# skills("Mohamed", *my_tuple, **my_skills) + +### Nested Functions ### +# def sum(num1, num2): +# def sum2(n1, n2): +# return n1 + n2 +# return num1 + num2 + + +# print(sum(1, 2)) + + +##### Scope In Python ##### +# x = 2 # Global Scobe + + +# def num(): +# global x +# x = 10 +# print(x) + + +# def num2(): +# x = 6 +# print(x) + + +# print(x) +# num() +# num2() + + +### Lambda Function ( Anonymous Function ) ### +# [1] It has no name. +# [2] You can call it inline without defineing it. +# [3] You can use it to return data from another function. +# [4] Lambda used for simple functions and Def handle the large tasks. +# [5] Lambda is one single expression not block of code. +# [6] Lambda type is function. + +# def say_hello(name, age): return f"Hello {name} Your Age Is {age}" + + +# def hello(name, age): return f"Hello {name} Your Age Is {age}." // Formatter Does Not Support Lambda Fucntions + + +# print(say_hello("Osama", "36")) +# print(hello("Mohamed", "22")) + +## Exersice on labmda function +# Square Each Item In A List +# my_list = [5,4,3] +# new_list = map(lambda num: num ** 2, my_list) +# print(list(new_list)) + +# Sort Depending on the second element of the tuple +# a = [(0,2), (4,3), (9,9), (10,-1)] +# a.sort(key=lambda x: x[1]) +# print(a) + + +# Recursion Function +# def duplicates(word): +# if len(word) == 1: +# return word +# if word[0] == word[1]: +# return duplicates(word[1:]) +# return word[0] + duplicates(word[1:]) + + +# print(duplicates("WWWoooorrrllllllddddd")) + + +# Function Check If The Number Even Or Odd (Clean Code) +# def is_even(num): +# return num % 2 == 0 + +# print(is_even(12)) + + +# Args & Kwargs +# Rule (Params, *args, default parameters, **kwargs) + +# Function Add All The Numbers +# def add(*nums, **kwargs): +# total = 0 +# for value in kwargs.values(): +# total += value +# return sum(nums) + total + + +# print(add(1, 2, 3, 4, 5, num1=5, num2=10)) + + +# Return The Highest Even Number +# def highest_even_num(li): +# evens = [] +# for num in li: +# if num % 2 == 0: +# evens.append(num) +# print(max(evens)) + +# highest_even_num([1,2,3,4,10,12,24]) + + +### DocStrings ### +# def sum(num1, num2): +# ''' +# This Fucntion Returns The Sum Of Two Integers :) (Info By Mohamed Salama) +# ''' +# return num1 + num2 + + +# print(sum(1, 2)) +# help(sum) +# print(sum.__doc__) + + +################ Walrus Operator (:=) ################ +# name = "Mohamed" +# if (n := len(name)) > 5: +# print(f"The String Is Too Long: {n} Elements.") + +# while (n := len(name)) > 1: +# print(n) +# name = name[:-1] +# print(name) + +# name = "mohamed" +# while (length := len(name)) > 0: +# print(length) +# name = name[:-1] + + +################ in && not in Operator ################# +# print(" " in "Mohamed") + + +# arabic_countries = ["Egypt", "Libya", "Syria", "Lebanon", "Bahryin", "Qatar"] +# main_price = 100 +# arabic_discount = 90 +# foreign_countries = ["USA", "Italy", "Germany", "China", "France", "Russia"] +# foreign_discount = 60 + +# country = input("What's Your Country: ").strip().capitalize() + +# if country in arabic_countries: +# print( +# f"Hello Because You Are An Arabian You Will Have A Discount Of {main_price - arabic_discount}") +# else: +# print( +# f"Hello Because You Are A Foreign You Will Have A Discount Of {main_price - foreign_discount}") + + +#################### Files Handling #################### +# Note :- Always Use The Absoulte Path ( Recommended ) +# Note :- After Ending Playing With The File It's Recommended To Close The File +## PATHS ## +# 1- Absolute path => Begin From The Root To The Target File +# 2- Relative path => Related With The Current Position Of The File + +## Files Modes ## +# "a" Append => Open File For Appending Values, Create File If Not Exists +# "r" Read => [Default Value] Open File For Read and Give Error If File is Not Exists +# "w" Write => Open File For Writing, Create File If Not Exists +# "x" Create => Create File, Give Error If File Exists + +# Creating Files +# try: +# new = open("D:\Programming\Python\Python Projects\File Created By Python2.txt", "x") +# except FileExistsError as error: +# print("File Exists Already, Create File With New Name Plaese") +# raise error + +# import os +# Printing The Current Working Directory +# print(os.getcwd()) + +# Printing The Absoulte Path Of The Current Working File +# print(os.path.abspath(__file__)) + +# Standard Way Of File I/O +# with open("sad.txt", mode="a") as new_file: +# text = new_file.write("This Is The New Text\n" * 10) +# print(new_file.encoding) +# print(new_file.name) +# print(new_file.mode) + + +### Reading The File ### +# x = open("D:\Programming\Python\Python Projects\Test.txt", "r") +# print(x) # File Data Object +# print(x.name) # File Name +# print(x.mode) # File Mode +# print(x.encoding) # File Encoding + + +# print(x.read()) # Reading The Whole File +# print(x.read(7)) # Reading The Specified Bytes + +# print(x.readline()) # Read The Whole Line +# print(x.readline(10)) # Read The Specified Bytes Of The Line + +# print(x.readlines()) +# for line in x: +# print(line) +# if line.startswith("S"): +# break + +# Closing The File (Recommended) +# x.close() + + +# Write To The File +# my_file = open("D:\Programming\Python\Python Projects\Test2.txt", "w") +# my_file.write("Hello From Source Code.\n") +# my_file.write("Hello From Source Code 1000 Time :) \n" * 10) + +# my_list = ["Line1\n", "Line2\n", "Line3\n"] +# my_file.writelines(my_list) + +# # Append To The File +# file = open("D:\Programming\Python\Python Projects\Test2.txt", "a") +# file.write("\nWrite Without Deleting") + +# Slice A Piece Of Text In The File +# my_file = open("D:\Programming\Python\Python Projects\Test2.txt", "a") +# my_file.truncate(1) + +# Printing The Current Position Of The Cursor (Note:- new line => 2 Characters) +# print(my_file.tell()) + +# Read From Specified Position +# my_file = open("D:\Programming\Python\Python Projects\mohamed.txt", "r") +# my_file.seek(11) +# print(my_file.read()) + +# Remove Specific File +# import os +# try: +# os.remove(r"D:\Programming\Python\Python Projects\nada.txt") +# except FileNotFoundError as error: +# print("No Such File In The Directory") +# # raise(error) + +# Handling Erros In I/O File +# try: +# with open("klfds.txt", mode="r") as new_file: +# text = new_file.read() +# print(text) +# except FileNotFoundError as error: +# print("File Not Found Error, BY ME :)") +# raise error + + +##################### Built In Functions ##################### +# 1- all() # Retrun True If All Elements Is True Otherwise Return False +# my_list = [1, 2, 3, "Mohamed", True, ""] +# print(all(my_list)) +# if all(my_list): +# print(my_list) +# else: +# print("There's At Least One Element False") + +# 2- any() # Retrun True If There's At Least One Element Is True Otherwise Return False +# my_list = [False, [], 1] +# print(any(my_list)) +# if any(my_list): +# print(my_list) +# else: +# print("There's No True Elements") + +# 3- bin() +# print(bin(100)) + +# 4- int() +# print(int("0b1100100", 2)) + +# 5- id() Print The Id Of Any Object In The Memory +# first_name = "Mohamed" +# second_name = "Salama" +# print(id(first_name)) +# print(id(second_name)) + +# 6- sum(iterable, start) => Sum all the elements in the iterable object and retrun the result +# my_list = [1, 10, 20, 70] +# print(sum(my_list)) +# print(sum(my_list, 20)) + +# 7- round(number, NumOfDigits) +# print(round(100.65567)) +# print(round(100.6567, 2)) + +# 8- range(start, end, step) +# print(list(range(1))) +# print(list(range(1, 10))) +# print(list(range(1, 10, 2))) + +# 9- print() +# Default Separator Between Words Is Space +# print("Mohamed Salama") +# print("Mohamed" "Salama") +# print("Mohamed", "Salama") +# print("Mohamed", "Salama", sep="@") + +# end="" => By Default Starts A New Line (\n) +# print("First Line") +# print("Seocnd Line", end=" ") +# print("Thrid Line") + +# 10- abs() +# print(abs(100)) +# print(abs(-100)) + +# 11- pow(base, exponent, modulus) +# print(pow(2, 4)) +# print(2 ** 4) +# print(pow(2, 4, 1)) + +# 12- min(item, item, item or iterator) +# print(min(1, 2, 3, 4, 5)) +# print(min("A", "B", "C", "D")) +# my_list = [1, 2, 3, -10] +# print(min(my_list)) + +# 13- max(item, item, item or iterator) +# print(max(1, 2, 3, 4, 5)) +# print(max("A", "B", "C", "D")) +# my_list = [1, 2, 3, -10] +# print(max(my_list)) + +# 14- slice(start, stop, step) => Start Is Optinal , Stop Must Write +# my_list = ["A", "B", "C", "D", "E", "F"] +# print(my_list[slice(4)]) +# print(my_list[slice(1, 4)]) + +# 15- enumerate(iterable, start=0) +# name = enumerate("Mohamed") + +# for index, letter in name: +# print(index, letter) + +# print("#" * 50) + +# my_skills = enumerate(["HTML", "CSS", "JS"], 3) +# for index, skill in my_skills: +# print(index, skill) + +# 16- help() +# print(help(abs)) + +# 17- reversed(iterable) +# text = "Mohamed Salama" +# for letter in reversed(text): +# print(letter) + +# my_list = [1, 2, 3, 4, 5, 6] +# for num in reversed(my_list): +# print(num) + + +# 18- map(function, iterator) +# [1] Map Take A Function + Iterator +# [2] Map Called Map Because It Map The Function On Every Element +# [3] The Fucntion Can Be Pre-Defined Function Or Lambda Function + +# Use Map With Predefined Function +# def format_text(text): +# return f"- {text.strip().capitalize()} -" + + +# my_texts = ["Mohamed", "OSAma", "DoNIa"] + +# for name in map(format_text, my_texts): +# print(name) + +# print("#" * 50) + +# Use Map With Lambda Function +# my_texts = ["Mohamed", "Osama", "DONIa"] +# for name in map(lambda name: f"- {name.strip().capitalize()} -", my_texts): +# print(name) + + +# Exercise 1 +# def check_number(num): +# if num > 10: +# return num +# else: +# return "Less Than Or Equal 10" + +# my_numbers = [1, 19, 10, 20, 100 , 5] + +# for number in map(check_number, my_numbers): +# print(number) + + +# Exercise 2 +# def multiply_by2(item): +# return item * 2 + +# my_list = [1,2,3] + +# print(list(map(multiply_by2, my_list))) +# print(my_list) + + +# 19- filter() +# [1] Filter Take A Function + Iterator +# [2] Filter Run A Function On Every Element +# [3] The Function Can Be Pre-Defined Or Lambda Function +# [4] Filter Out All Elements For Which The Function Return True (Important) +# [5] The Function Need To Return Boolean Value + + +# def checkNumber(num): +# return num > 10 # Treat Like A Condition + + +# myNumbers = [1, 19, 10, 20, 100, 5] + +# myResult = filter(checkNumber, myNumbers) +# for number in myResult: +# print(number) + +# print("#" * 40) + +# With Lambda Function +# names = ["Mohamed", "Donia", "Manar", "Heba"] +# for person in filter(lambda name: name.startswith("M"), names): +# print(person) + +# With Pre-Defined Function +# def check_names(name): +# return name.startswith("M") +# names = ["Mohamed", "Donia", "Manar", "Heba"] +# for person in filter(check_names, names): +# print(person) + +# Exercise +# def check_odd(num): +# return num % 2 != 0 + +# my_list = [1,2,3] + +# print(list(filter(check_odd, my_list))) + +# 20- reduce() => Higher Order Function +# [1] Reduce Take Function + Iterator +# [2] The Function Can Be Pre-Defined Function Or Lambda Function +# [3] Reduce Run A Function On First And Second Element And Give Result +# [4] Then Run Function On Result And Third Element +# [5] Then Run Function On Result And Fourth Element And So On +# [6] Till One Element Is Left And This Is The Result Of The Reduce Function + +# from functools import reduce + +# def sum_numbers(num1, num2): +# return num1 + num2 + + +# numbers = [1, 8, 2, 9, 100, 1, 8, 2, 9, 100] +# result = reduce(sum_numbers, numbers) + +# print(result) +# print(sum(numbers)) + +# 21- zip() => it is zip all the iterables objects you give to it +# my_list = [1,2,3,4] +# your_list = [10, 20, 30] +# print(list(zip(my_list, your_list))) + + +## Loop On Many Iterators With zip() ## +# zip() Return A Zip Object Contains All Objects +# zip() Length Is The Length Of Lowest Object + +# list1 = [1, 2, 3, 4, 5] +# list2 = ["A", "B", "C"] # Control The Zip Object ( The Lowest One ) +# tuple1 = ("Man", "Woman", "Girl", "Boy") +# dict1 = { +# "Name": "Mohamed", +# "age": 22, +# "Country": "Egypt" +# } + +# for item1, item2, item3, item4 in zip(list1, list2, tuple1, dict1): +# print("List 1 Item =>", item1) +# print("List 2 Item =>", item2) +# print("Tuple 1 Item =>", item3) +# print("Dict 1 key =>", item4, "Value =>", dict1[item4]) + + +# ultimatel_list = zip(list1, list2) +# print(ultimatel_list) +# for item in ultimatel_list: +# print(item) + + +################################ Modules ################################ +# [1] Use Camel_Case for naming your modules +# [2] Module Is A File Contain A Set Of Functions +# [3] You Can Import Module In Your App To Help You +# [4] You Can Import Multiple Modules +# [5] You Can Create Your Own Modules +# [6] Modules Can Save Your Time +# [7] Everytime you create a module and run it the interpreter will create __pycache__ file +# Note:- in programming if you have this sentence "process finished with exit code 0" this means there's no errors if it's 1 this means there's an error + +# import random +# print(random) +# help(random) + + +# import sys +# print(sys.argv) +# print(sys.path) +# sys.path.append(r"path") => to add a new path to the paths of the system + + +# Printing Random Float Number Between 0 and 1 +# import random +# print(f"Random Float Number {round(random.random(), 2)}") + +# Choose Random Element +# print(random.choice([1,2,3])) + +# Shuffle Elements +# my_list = [1, 2, 3, 4, 5, 6] +# random.shuffle(my_list) +# print(my_list) + +# Show All Function Inside Module +# print(dir(random)) + +# Import One Or Two Functions From The Module +# from random import randint, random +# print(f"Print Random Float {random()}") +# print(f"Print Random Integer {randint(1, 10)}") + +# Create My Own Module +# import sys +# import mohamedmodule as my_module +# # print(sys.path) +# # print(dir(mohamedmodule)) + +# my_module.name("Mohamed") + +# Useful Modules +# from collections import Counter, defaultdict, OrderedDict + +# Counter Usage +# my_list = [1, 1, 2, 3, 4, 5, 6, 7, 8, 8] +# print(Counter(my_list)) + +# sentence = "Hello Mohamed Salama Python Course" +# print(Counter(sentence)) + + +# deafultdict Usage +# my_dict = defaultdict(lambda: "Does Not Exist", {"a": 1, "b": 2}) +# print(my_dict["c"]) + +# OrderedDict Usage +# d = OrderedDict() +# d["a"] = 1 +# d["b"] = 2 + +# d2 = OrderedDict() +# d2["b"] = 2 +# d2["a"] = 1 + +# print(d == d2) + + +# Array Package +# from array import array +# list = array("i", [1, 2, 3, 4, 5, int("5")]) +# print(list[1]) + + +# Install Extrenal Packages +# [1] Package Is A Set Of Modules +# [2] External Packages Downloaded From The Internet +# [3] You Can Install Packages With Python Package Manager ( PIP ) +# [4] PIP Install The Package And It's Dependencies +# [5] Moduls List "https://docs.python.org/3/py-modindex.html" +# [6] Packages And Modules Direcotry "https://pypi.org/" +# [7] PIP Manual "https://pip.pypa.io/en/estable/refrence/pip_install/" +# [8] PIP => Python Index Package + +# Useful Commands For External Packages +# pip --version = pip -V => To Display The Version Of The pip Package +# pip install --user pacakge_name --upgrade => To Upgrade The Version Of A Package (pip install package_name --upgrade) +# pip install pyfiglet=1.3.5 => To Install A Package With A Specified Version +# pip install --user pacakge_name => To Install External Package +# pip install package_name==version => To Install External Package With A Specified Version +# pip list => To List All The Packages In The Computer +# pip uninstall package_name => To Uninstall A Package + +# import termcolor , pyfiglet + +# print(dir(pyfiglet)) +# print(pyfiglet.figlet_format("Abo Salama")) + +# print(dir(termcolor)) +# help(termcolor) +# print(termcolor.colored(pyfiglet.figlet_format("Mohamed Salama"), "red")) +# print(termcolor.colored(pyfiglet.figlet_format("Abo Salama"), "yellow")) +# print(termcolor.colored("Mohamed", "green")) + +# import pyjokes +# joke = pyjokes.get_joke('en', 'neutral') +# print(joke) + + +# print(__name__) # Print __main__ If It's The Main File Where Modules Imported +# if __name__ == "__main__": # We Use This Condition To Make Sure That We Run A Module If This Is The Main File, Or The File Being Run +# print("Hello From The Main File") + + +################## Date And Time ################### +# import datetime +# print(dir(datetime)) +# print(dir(datetime.datetime())) + +# Printing The Current Date And Time +# print(datetime.datetime.now()) + +# Print The Current Year, Month, Day, Second, Minute +# print(datetime.datetime.now().year) +# print(datetime.datetime.now().month) +# print(datetime.datetime.now().day) + +# Print Start And End Of Date +# print(datetime.datetime.min) +# print(datetime.datetime.max) + +# Print The Current Time +# print(datetime.datetime.now().time()) + +# Print The Current Time Hour +# print(datetime.datetime.now().time().hour) + +# Print Start And End Of Time +# print(datetime.time.min) +# print(datetime.time.max) + +# Print Specific Date +# print(datetime.datetime(2000, 8, 7, 10, 45, 55)) + +# birthday = datetime.datetime(2000, 8, 7) +# dateNow = datetime.datetime.now() +# print(f"My Brithday Is {birthday} And Date Now Is {dateNow}, So I Lived For {(dateNow - birthday).days}") + + +######## Itreable Vs iterator ######## +# Iterable +# [1] Object Contains Data That Can Be Iterated Upon +# [2] Examples (String, List, Set, Tuple, Dictionary) + +# Iterator +# [1] Object Used To Iterate Over Iteralbe Using next() Method Retrun 1 Element At Time +# [2] You Can Generate Iterator From Iterable When Using iter() Method +# [3] For Loop Already Calls iter() Method On The Iteralbe Behind The Scene +# [4] Gives "StopIteration" If There's No Next Element + + +# name = "Mohamed" + +# for letter in iter(name): +# print(letter, end=" ") + +# my_iterator = iter(name) +# print(next(my_iterator)) +# print(next(my_iterator)) +# print(next(my_iterator)) +# print(next(my_iterator)) +# print(next(my_iterator)) +# print(next(my_iterator)) +# print(next(my_iterator)) +# print(next(my_iterator)) + + +##################### Generators ##################### +# 1- Generator is a function with "yield" keyword instead of "return" +# 2- It supports iteration and retrun generator itearator by calling "yield" +# 3- Generator functions can have one or more "yield" +# 4- By using next() it resume from where it called "yield" not from begining (Feature) +# 5- When it's called, it's not start automatically, it will give you the control +# 6- Generators can pause and resume functions + + +# def my_generator(): +# yield "Salama" +# yield 2 +# yield 3 +# yield 4 +# print("Mohamed") +# yield 5 + +# my_generator() +# print(my_generator()) +# print(type(my_generator)) + + +# my_gen = my_generator() + +# print(next(my_gen)) +# print("Hello") +# print(next(my_gen)) +# print(next(my_gen)) +# print(next(my_gen)) + +# for number in my_gen: +# print(number) + + +# Another Example +# def my_generator(num): +# for i in range(num): +# yield i + + +# my_gen = my_generator(10) +# print(next(my_gen)) +# print(next(my_gen)) +# next(my_gen) +# print(next(my_gen)) + + +######################### Decorators ######################### +# 1- Sometimes called Meta Programming +# 2- Everything in python is object even functions +# 3- Decorator take a function and add some functionality and return it +# 4- Decorator wrap other function and enhance their behaviour +# 5- Decorator is higher order function (function accept function as parameter) +# 6- You Can Add More Than One Decorator To The Same Function + + +# def my_decorator(func): # Decorator +# def nested_func(): # Any Name It's Just For Decoration +# print("Before") # Message From Decorator +# func() # Execute Function +# print("After") # Message From Decorator +# return nested_func # Return All Data + + +# @my_decorator +# def say_hello(): +# print("Hello From Say Hello Function") + + +# say_hello() + + +# My Example +# def my_decorator(any_func): +# def nested_func(): +# print("Before") +# any_func("Mohamed") +# print("After") +# return nested_func + + +# @my_decorator +# def say_hello(name): +# print(f"Hello {name}") + + +# say_hello() + +# after_decoration = my_decorator(say_hello) +# after_decoration() + +# Another Example +# def my_dec(func): +# def nested_func(*numbers): +# for number in numbers: +# if number < 0: +# print("Beware One Of The Numbers Is Less Than Zero") +# func(*numbers) +# return nested_func + + +# @my_dec +# def calculate(num1, num2, num3): +# print(num1 + num2 + num3) + + +# calculate(-1, 2, 3) + + +# Speed Test +# from time import time + + +# def speed_test(func): +# def wrapper(): +# start = time() +# func() +# end = time() +# print(f"Function Running Time Is {end - start}") +# return wrapper + + +# @speed_test +# def test(): +# for number in range(1, 2000): +# print(number) + + +# test() + + +#################### Debugging Code #################### +# my_list = [1, 2, 3, 4, 5, 6] +# my_dict = { +# "Name": "Mohamed", +# "Age": 22, +# "Country": "Egypt" +# } + +# for num in my_list: +# print(num) + +# for key, value in my_dict.items(): +# print(f"{key} => {value}") + + +# def function_one(): +# print("Hello From Function One") + + +# function_one() + +## Debugging With pdb Module ## +# import pdb + +# def add(num1, num2): +# pdb.set_trace() +# return num1 + num2 + + +# print(add(1, 2)) + + +########## Type Hinting ########## +# def say_hello(name) -> str: +# print(f"hello {name}") + + +# say_hello("Mohamed") + + +# def add(n1, n2) -> int: +# print(n1 + n2) + + +# add(1, 2) + + +##################### Docstrings And Commenting VS Documenting ##################### + +# def func(name): +# # Single Line DocString +# # '''This Function Only Say Hello''' + +# # Multiple Line DocString +# ''' +# This Function Only Say: +# Hello For The Name Argument +# ''' +# print(f"Hello {name}") + + +# func("Mohamed") +# print(func.__doc__) +# help(func) + + +##################### Installing And Use Pylint For Better Code ##################### +# """This Is My Function""" + + +# def say_hello(name): +# '''Fuction For Saying Hello To The User''' +# msg = "Hello" +# return f"{msg} {name}" + + +# say_hello("Ahmed") + + +############# Manipulating Images With Pillow ############### +# from PIL import Image + +# # Open The Image +# my_img = Image.open(r"D:\Mohamed Salama\backgrounds for desktop\1.jpg") +# # Display The Image +# # my_img.show() +# # My Cropped Image +# # (Left, Upper, Right, Lower) +# my_box = (300, 300, 800, 800) +# my_new_image = my_img.crop(my_box) +# # Show The New Image +# my_new_image.show() + +# # Black And White Image +# img_converted = my_img.convert("L") +# img_converted.show() + + +###################### Errors Handling ###################### +# [1] Exceptions Is A runtime Error Reporting Mechanism +# [2] Exceptions Gives You The Message To Understand the Problem +# [3] Traceback Gives You The Line To Look For The Code In This Line +# [4] Excpetions Have Types (SyntaxError, IndexError, KeyError, ValueError, TypeError, NameError, ZeroDivisionError, Etc...) +# [5] Exceptions List https://docs.python.org/3/library/exceptions.html +# [6] raise Keyword Used To Raise Your Own Exceptions + +# number = "Mohamed" + +# if type(number) != int: +# raise Exception("Sorry You Need To Enter A Number") +# raise TypeError("Only Numbers Allowed") +# raise ValueError("Only Numbers Allowed") +# else: +# print("You Entered The Correct Number") + + +# -- Exceptions Handling -- +# -- Try | Except | Else | Finally -- +# ----------------------------------- +# Try => Test The Code For Errors # EOF => Means End Of File +# Except => Handle The Errors +# ---------------------------- +# Else => If No Errors +# Finally => Run The Code + +# while True: +# try: +# age = int(input("What's Your Age:-").strip()) +# 10 / age +# except ZeroDivisionError: +# print("Your Age Can't Be Zero, Type Your Age Please") +# except: +# print("Enter A Number PLease") +# else: +# print(f"Your Age Is {age}") +# print("Thank You!") +# break + + +# try: # Try The Code And Test Errors +# number = int(input("Type Your Number Please:- ")) +# print("This Is Integer, From try") +# except: # Handle The Error If Exist +# print("This Is Not Integer") +# else: # If There's No Errors +# print("This Is Integer, From else") +# finally: # Run Whatever Happened +# print("Print From Finally Whatever Happened") + +# try: +# # print(100 / 0) +# # print(name) +# int(input("Type Your Number:- ").strip()) +# except ZeroDivisionError: +# print("Zero Division Error Happened") +# except NameError: +# print("Name Error Happened") +# except ValueError: +# print("Value Error") +# except: +# print("Error Happened Try Again :)") + + +# Advanced Error Handling Example +# the_file = None +# the_tries = 5 + +# while the_tries > 0: +# try: # Try To Open The File +# print("Enter The File Name With Absolute Path To Open") +# print(f"You Have {the_tries} Tries Left") +# print("Example: D:\Python\Files\yourfile.extension") + +# file_name_and_path = input("File Name => : ").strip() +# the_file = open(file_name_and_path, 'r') + +# print(the_file.read()) +# break + +# except FileNotFoundError: +# print("File Not Found Please Be Sure The Name is Valid") + +# the_tries -= 1 +# except: +# print("Error Happened") +# finally: +# if the_file is not None: +# the_file.close() + +# print("File Closed.") +# else: +# print("All Tries Is Done") + + +##################### Regular Expressions ##################### +# search() => Search A String For A Match And Return A First Match Only +# findall() => Returns A List Of All Matches And Empty List If No Match +# split(pattern, string, maxsplit) => Return A List Of Elements Splitted On Each Match +# sub(pattern, Replace, string, replaceCount) => Replace Matches With What You Want +# Email Pattern => [A-z0-9\n]+@[A-z0-9]+\.(com|net|org|info) +# Regular Expression Return None If There's Match + + +# import re +# my_string = "This Is My String" +# regualr = re.search("My", my_string) +# print(regualr.start()) +# print(regualr.end()) + +# my_search = re.search(r"[A-Z]{2}", "MMohamedSSalama") +# print(my_search) +# print(my_search.span()) +# print(my_search.string) +# print(my_search.group()) + + +# is_email = re.search( +# r"[A-z0-9\n]+@[A-z0-9]+\.(com|net|org|info)", "os@osama.com") +# if is_email: +# print("Valid Email") +# else: +# print("Not Valid Email") + +# email_input = input("Write Your Email Here Please: ").strip() +# search = re.findall(r"[A-z0-9\n]+@[A-z0-9]+\.com|net|org|info", email_input) +# my_list = [] +# if search != []: +# my_list.append(search) +# print("Email Added") +# else: +# print("Not Valid Email") + +# for email in my_list: +# print(email) + + +# string_one = "I Love Python Programming Language" +# search_one = re.split(r"\s", string_one, 2) +# print(search_one) + + +# string_two = "How-To_Write_A_Very-Good-Article" +# search_two = re.split(r"-|_", string_two) +# print(search_two) + + +# Get Words From URL +# for index, word in enumerate(search_two, 1): +# if len(word) == 1: +# continue +# print(f"Word Number: {index} => {word.lower()}") + +# my_string = "I Love Python Programming Language" +# print(re.sub(r"\s", "-", my_string, 2)) + +# website = "https://www.elzero.org:8080/category.php?article=105?name=how-to-do" +# search = re.search(r"(https?)://(www)?\.?(\w+)\.(\w+):?(\d+)?/?(.+)", website) +# print(dir(search)) +# print(search.group(1)) +# print(search.groups()) + +# for item in search.groups(): +# print(item) + +# print(f"Protocol: {search.group(1)}") +# print(f"Sub Domain: {search.group(2)}") +# print(f"Domain Name: {search.group(3)}") +# print(f"Top Level Domain: {search.group(4)}") +# print(f"Port: {search.group(5)}") +# print(f"Query String: {search.group(6)}") + + +################################################### OOP ( Object Oriented Programming ) ################################################### +# Notes:- +# Objects In Python Divides Into Two Parts 1-Scaler => Can't Be Subdivided 2-Non-scaler => can be subdivided => يعني متقدرش تشتق منها objects +# 1- Python Supports OOP +# 2- OOP Is A Paradigm Or Coding Style +# 3- Paradigm => Means structuring program so the methods ( functions ) and attributes ( data ) are bundled into objects +# 4- Methods => Act as function that use the information of the object +# 5- Python is Multi-Paradigm programming language ( Procedural, OOP, Functional ) Programming +# 6- Procedural Programming => Structure of the app like Recipe, sets of steps to make the task ( Means The Way of Structurning Our Code Like The Code We Write ) +# 7- Functional Programming => Built on the concept of Mathematical Functions +# 8- We Use PascalCase ( UpperCamelCase ) For Creating Classes +# 9- Instanciate from a class => Means create an object from a class +# 10- Class is the blueprint or constructor of the object +# 11- When creating object python look for the built in __init__ method +# 12- __init__ method called every time you create an object from class +# 13- __init__ method is initialize the data for the object +# 14- Any method with two underscore in the start and the end called Dunder or Magic method +# 15- Self refer to the current instance ( object ) created from the class ( blueprint, constructor ) and must be first parameter +# 16- Self parameter can be named anything +# 17- In python you don't need to call new() keyword to create object +# 18- Instance Attributes Defined Inside The Constructor +# Instance Methods:- +# -- Take Self Parameter Which Point To Instance Created From Class +# -- Can have more than one parameter like any function +# -- Can freely access attributes and methods on the same object +# -- Can access the class itself +# 19- Class Attributes Defined Outside The Constructor ( __init__ ) +# 20- Class methods makred with @classmethod Decorator to flag it as class method +# 21- Class methods take cls parameter not self to point to the class not the instance +# 22- Static methods takes no parameters +# 23- Static methods makred with @staticmethod Decorator to flag it as static method +# 24- Static methods It's Bound To The Class Not Instance +# 25- Static methods Used when doing something doesn't have access to object or class but related to class +# 26- Everything in python is an object +# 27- self.__class__ To Show You Which Class The Instance Belongs To +# 28- __str__ Gives a human-readable output of the object +# 29- __len__ Rturns the length of the container and it's called when we use the built-in len() function of the object +# 30- To override a method in the parent class you need to write it with the same name in the child class +# 31- mro() or method resoultion order => To Show You The Order Of The Classes In Your Object +# 32- When Function does not have return it returns None +# 33- child class = sub class = derived class + +#### Encapsulation #### +# - Restrict Access To The Data Stored in Attirbutes and Methods +# Public +# - Every Attribute and Method That We Used So Far Is Public +# - Attributes and Methods Can Be Modified and Run From Everywhere +# - Inside Our Outside The Class +# Protected +# - Attributes and Methods Can Be Accessed From Within The Class And Sub Classes (Derived Classes => Inheritance From The Base Class) +# - Attributes and Methods Prefixed With One Underscore _ +# Private +# - Attributes and Methods Can Be Accessed From Within The Class Or Object Only +# - Attributes Cannot Be Modified From Outside The Class +# - Attributes and Methods Prefixed With Two Underscores __ +# --------------------------------------------------------- +# - Attributes = Variables = Properties +# ------------------------------------- + + +# Class Syntax +# class NameOfTheClass: +# Constructor => Do Instantiation [ create instance from a class ] +# Each Instance is a separate object +# def __init__(self, other_parameters): +# body of the function + + +# class MemberList: +# def __init__(self): +# print("A New Member Has Been Added.") + + +# member_one = MemberList() +# member_two = MemberList() + +# print(member_one) +# print(dir(MemberList)) # To Print The Attributes And The Methods Of The Class +# print(member_one.__class__) # To See Which Class The Object Belongs To + + +# class Member: +# # Creating Class Attributes +# not_allowed_names = ["Hell", "Shit", "Baloot"] +# users_num = 0 + +# # Creating Class Method +# @classmethod +# def show_users_count(cls): +# print(f"We Have {cls.users_num} Users In Our System") + +# # Creating Static Method +# @staticmethod +# def say_hello(): +# print("Hello From Static Method") + +# def __init__(self, fName, mName, lName, gender): +# # Creating Instance Attributes +# self.firstname = fName +# self.middlename = mName +# self.lastname = lName +# self.gender = gender + +# Member.users_num += 1 + +# # Creating Instance Methods +# def full_name(self): +# if self.firstname in Member.not_allowed_names: +# raise ValueError("Not Allowed Name.") +# else: +# return f"{self.firstname} {self.middlename} {self.lastname}" + +# def name_with_title(self): +# if self.gender == "Male": +# return f"Hello Mr {self.firstname}" +# else: +# return f"Hello Miss {self.firstname}" + +# def get_all_info(self): +# return f"{self.name_with_title()}, Your Full Name Is {self.full_name()}, And Your Gender Is {self.gender}." + +# def delete_user(self): +# Member.users_num -= 1 +# return f"User {self.full_name()} Has Been Deleted." + + +# print(Member.users_num) + +# member_one = Member("Mohamed", "Ali", "Youssef", "Male") +# member_two = Member("Salama", "Ahmed", "Ebrahim", "Male") +# member_three = Member("Donia", "Ahmed", "Ebrahim", "Female") + +# print(Member.users_num) + +# print(member_one.delete_user()) + +# print(Member.users_num) + +# # Printing The Content Of The Instance (Attributes, Methods) +# print(dir(member_one)) +# print(dir(Member)) # Printing The Content Of The Class (Attributes & Methods) + +# To Call The Instance Attributes +# print(member_one.firstname, member_one.middlename, member_one.lastname) +# print(member_two.firstname, member_two.middlename, member_two.lastname) + +# To Call The Instance Methods +# print(member_one.full_name()) +# print(Member.full_name(member_one)) # What Happens Behind The Scenes +# print(member_one.name_with_title()) +# print(member_three.name_with_title()) +# print(member_one.get_all_info()) + +# To Call Class Attributes +# print(Member.users_num) + +# To Call Class Methods +# Member.show_users_count() + +# To Call Static Method +# Member.say_hello() + + +### Dunder Or Magic Methods ### +# class Skill: +# def __init__(self): +# self.skills = ["Html", "Css", "Js", "Python"] + +# def __str__(self): +# return f'This Is My Skills => {self.skills}' + +# def __len__(self): +# return len(self.skills) + + +# profile = Skill() +# print(profile) + + +# print(len(profile)) + +# print(profile.skills) +# profile.skills.append("PHP") +# profile.skills.append("Mysql") + +# print(len(profile)) + + +# Means Creating An Instance From The Class Str +# my_string = "Mohamed" + +# print(type(my_string)) +# print(my_string.__class__) +# print(dir(str)) + +# print(my_string.upper()) +# print(str.upper(my_string)) # What Happens Behind The Scene + + +###### Inheritance ###### +# class Food: # Base Class +# def __init__(self, name, price): +# self.name = name +# self.price = price +# print(f"{self.name} Is Created From The Base Class") + +# def eat(self): +# print("Eat Method From Base Class") + + +# class Apple(Food): # Derived Class +# def __init__(self, name, price, amount): +# # Food.__init__(self, name, price) # Created Instance From Base Class +# super().__init__(name, price) # Do Not Need To Put Self +# self.amount = amount +# print( +# f"{self.name} Is Created From Derived Class And The Price Is {self.price} And Amount Is {self.amount}") + +# def get_from_tree(self): +# print("Get From Tree From Derived Class") + + +# food_one = Food("Pizza", 30) +# food_two = Apple("Pizza", 150, 3) +# food_two.eat() +# food_two.get_from_tree() + +# Check If The Object Is An Instance From The Class => isinstance(subclass, class) +# print(isinstance(food_two, Food)) +# Any Functionality In Python Comes From The Main Class Of Python Which Is object ( Everything in python is object ) +# print(isinstance(food_two, object)) + + +#### Multiple Inheritance #### +# class Base: +# print("Base") + + +# class DerivedOne(Base): +# print("Derived One") + + +# class DerivedTwo(DerivedOne): +# print("Derived Two") + + +# object1 = DerivedTwo() +# print(DerivedTwo.mro()) + + +# class BaseOne: +# def __init__(self): +# print("Message From Base One") + +# def func_one(self): +# print("One") + + +# class BaseTwo: +# def __init__(self): +# print("Message From Base Two") + +# def func_two(self): +# print("Two") + + +# class Derived(BaseOne, BaseTwo): +# pass + + +# object1 = Derived() +# print(Derived.mro()) + +# print(object1.func_one) +# print(object1.func_two) + +# object1.func_one() +# object1.func_two() + + +##### Polymorphism ( Many Forms ) ##### +# class A: +# def do_something(self): +# print("From Class A") +# raise NotImplementedError("Derived Class Must Implement This Method") + + +# class B(A): +# pass + + +# class C(A): +# pass + + +# my_object = B() +# my_object.do_something() + + +##### Encapsulation ##### +# class Member: +# def __init__(self, name): +# self.name = name # Public + + +# one = Member("Mohamed") +# print(one.name) +# one.name = "Osama" +# print(one.name) + +# class Member: +# def __init__(self, name): +# self._name = name # Protected + + +# one = Member("Mohamed") +# print(one._name) +# one._name = "Osama" +# print(one._name) + + +# class Member: +# def __init__(self, name): +# self.__name = name # Private + +# def say_hello(self): +# return f"Hello {self.__name}" + + +# one = Member("Mohamed") +# print(one.__name) +# print(one.say_hello()) +# print(one._Member__name) # Will Print The Name For Sorry Even If It Is A Private Attribute Because It's Like A Name Convention Between The Developers Not Built In Python + +# Getters And Setters +# class Member: +# def __init__(self, name): +# self.__name = name # Private Property + +# def say_hello(self): +# return f"Hello {self.__name}" + +# def get_name(self): # Getter +# return self.__name + +# def set_name(self, new_name): # Setter +# self.__name = new_name + + +# one = Member("Mona") + +# print(one.get_name()) + +# one.set_name("Ebrahim") +# print(one.get_name()) + + +# @property Decorator => It Is Useful To Use The Method As A Property => بستخدم الديكوريتور ده لما احتاج احول اي ميسود فى الكلاس لخاصية بشرط ان الميسود متكونش بتعمل اي حاجة غير انها بترجع قية +# class Member: +# def __init__(self, name, age): +# self.name = name +# self.age = age + +# def say_hello(self): +# return f"Hello {self.name}" + +# @property +# def age_in_days(self): +# return self.age * 365 + + +# one = Member("Mohamed", 22) +# print(one.name) +# print(one.age) +# print(one.say_hello()) +# print(one.age_in_days) +# print(one.age_in_days()) + + +##### ABC => Abstract Base Class ( مجرد يعني مبيعملش حاجة وفي نفس الوقت رئيسي) ##### +# - Class Called Abstract Class If it Has One or More Abstract Methods +# - abc module in Python Provides Infrastructure for Defining Custom Abstract Base Classes. +# - By Adding @absttractmethod Decorator on The Methods +# - ABCMeta Class Is a Metaclass Used For Defining Abstract Base Class + +# from abc import ABCMeta, abstractmethod + + +# class Programming(metaclass=ABCMeta): +# @abstractmethod +# def has_oop(self): +# pass + +# def has_name(self): +# pass + + +# class Python(Programming): +# def has_oop(self): +# return "Yes" + + +# class Pascal(Programming): +# def has_oop(self): +# return "No" + + +# one = Python() +# two = Pascal() + +# print(two.has_oop()) + + +################ Exercises ( OOP ) ################# +# class PlayerCharacter: +# membership = True + +# def __init__(self, name, age): +# if age >= 18: +# self.name = name +# self.age = age + +# def run(self): +# print("Run") + +# @classmethod +# def adding_things(cls, num1, num2): +# return num1 + num2 + +# @staticmethod +# def adding_things2(num1, num2): +# return num1 + num2 + + +# player1 = PlayerCharacter("Mohamed", 22) +# player2 = PlayerCharacter("Cindy", 32) +# player1.attack = True + +# print(player1.name) +# print(player2.name) +# print(player1.attack) +# print(player1.adding_things(2,4)) +# print(PlayerCharacter.adding_things(2,4)) +# print(player1.adding_things2(3,4)) + + +# Exercise Extending List +# class SuperList(list): +# def __len__(self): +# return 1000 + + +# super_list1 = SuperList() +# print(len(super_list1)) +# super_list1.append(5) +# super_list1.append(6) +# print(super_list1[0]) +# print(super_list1[1]) +# print(issubclass(SuperList, list)) +# print(issubclass(list, object)) + + +################################## SQLite Database ################################## +# Notes +# 1- cursor => all operations in SQL done by cursor not the connection itself +# 2- commit => save all changes +# 3- fetchone => returns a single record or None if no more rows are available, returns the data from one row and if there's no more rows it returns None +# 4- fetchall => fetches all the rows of a query result. It returns all the rows +# as a list of tuples. An empty list is returned if there is no record to fetch. +# 5- fetchmany(size) => + +# # Import SQLite Module +# import sqlite3 + +# # Create database and connect +# database = sqlite3.connect("app.db") + +# # Setting up the cursor +# cr = database.cursor() + +# # Create the tables and fields +# # database.execute("CREATE TABLE if not exists skills (name TEXT, progress INTEGER, user_id INTEGER)") +# cr.execute("CREATE TABLE users (user_id INTEGER, name TEXT)") + +# # # Inserting data +# # cr.execute("INSERT INTO users(user_id, name) VALUES(1, 'Mohamed')") +# # cr.execute("INSERT INTO users(user_id, name) VALUES(2, 'Hoda')") +# # cr.execute("INSERT INTO users(user_id, name) VALUES(3, 'Mona')") + +# users = ["Mohamed", "Ahmed", "Mona", "Abrar"] +# for id, user in enumerate(users): +# cr.execute(f"INSERT INTO users(user_id, name) VALUES({id + 1}, '{user}')") + +# # Save changes +# database.commit() + +# # Close database +# # database.close() + +# ## Retrieve Data From Database ## +# cr.execute("SELECT user_id, name FROM users") +# print(cr.fetchone()) +# print(cr.fetchone()) +# print(cr.fetchone()) +# print(cr.fetchone()) + + +# --------------------------------------------------- +# -- Databases => SQLite => Training On Everything -- +# --------------------------------------------------- +# import sqlite3 + +# def get_all_data(): +# try: +# # Connect To Database +# db = sqlite3.connect("app.db") + +# # Print Success Message +# print("Connected To Database Successfully") + +# # Setting Up The Cursor +# cr = db.cursor() + +# # Fetch Data From Database +# cr.execute("select * from users") + +# # Assign Data To Variable +# results = cr.fetchall() + +# # Print Number Of Rows +# print(f"Database Has {len(results)} Rows.") + +# # Printing Message +# print("Showing Data:") + +# # Loop On Results +# for row in results: +# print(f"UserID => {row[0]},", end=" ") +# print(f"Username => {row[1]}") + +# except sqlite3.Error as er: +# print(f"Error Reading Data {er}") + +# finally: +# if (db): +# # Close Database Connection +# db.close() +# print("Connection To Database Is Closed") + +# get_all_data() + + +#################################################### API ( Application Programming Interfaces ) #################################################### +# API :- is a set of commands, functions, protocols, and objects that programmers can use to create software or interact with an external system. +# simply the API is an interface between your program and external program + +# API Endpoint:- is simply a URL of the location of the data you want, and example of this is if you want to get some coin data you should use the URL (api.coinbase.com) to get the data. + +# Some API requires parameters to work. + +# Different responses or status code +# 1- 1XX :- means hold on something happening this not final. +# 2- 2XX :- means here you go everything was successful you should get the data you wanted. +# 3- 3XX :- means go away you don't have permission to the data you trying to get, +# 4- 4XX :- means you screwed up and the data you looking for doesn't even exist. +# 5- 5XX :- means the server you are looking at is down or maybe there's some other issue. + +###### get the API of the ISS ( International Space Station ) ###### +# import requests + +# response = requests.get(url="http://api.open-notify.org/iss-now.json") # this method help you to get the data you want from the endpoint +# print(response) + +# print(response.status_code) # to print only the status code ( 200 means everything was successful ) + +# response.raise_for_status() # there's alot of http status code so this method help us to show the user the actual problem + +# data = response.json() # to get the actual data of this API +# data = response.json()["iss_position"] # to get a specific data of the json data, we get the data the as we get it in the dictionary +# print(data) + +## to get the data in a tuple ## +# longitude = data["iss_position"]["longitude"] +# latitude = data["iss_position"]["latitude"] +# iss_position = (longitude, latitude) + +# print(iss_position) + + +##### generate quotes program ##### +# from tkinter import * +# import requests + +# def get_quote(): +# response = requests.get(url="https://api.kanye.rest") +# response.raise_for_status() +# data = response.json() +# qoute = data["quote"] +# canvas.itemconfig(quote_text, text=qoute) + +# window = Tk() +# window.title("Kanye Says...") +# window.config(padx=50, pady=50) + +# canvas = Canvas(width=300, height=414) +# background_img = PhotoImage(file="./kanye-quotes/background.png") +# canvas.create_image(150, 207, image=background_img) +# quote_text = canvas.create_text(150, 207, text="Kanye Quote Goes HERE", width=250, font=("Arial", 30, "bold"), fill="white") +# canvas.grid(row=0, column=0) + +# kanye_img = PhotoImage(file="./kanye-quotes/kanye.png") +# kanye_button = Button(image=kanye_img, highlightthickness=0, command=get_quote) +# kanye_button.grid(row=1, column=0) + +# window.mainloop() + + +####### sunrise-sunset API ####### +# import requests + +# my_lat = 26.820553 +# my_lng = 30.802498 + +# parameters = { +# "lat" : my_lat, +# "lng" : my_lng, +# "formatted": 0, +# } + +# response = requests.get("https://api.sunrise-sunset.org/json", params=parameters) +# response.raise_for_status() +# data = response.json() + +# sunrise = int(data["results"]["sunrise"].split("T")[1].split(":")[0]) +# sunset = int(data["results"]["sunset"].split("T")[1].split(":")[0]) + +# print(sunrise) +# print(sunset) + + +#### API Authentication #### +# when a big company has an api you must pay fot it they provide you with an API key to prevent people from abusing their service and limit their access to their API service +# and it's almost like your personal account number and password +# with this way they can track how much you're using their API and to authorize your access and deny your access once you gone over the limit. + +# api_key = "d6741bc1dc48b39fdbf09ab4af79af21" => the API key from openweathermap.org site + +# apllist.fun => is a website of fun APIs list to training on + + +#### HTTP requests #### +# 1- GET => to ask the external program (request) to give us some piece of data (response) +# 2- POST => give the external program the data and wait for response of ok +# 3- PUT => to update the data in the external program +# 4- DELETE => to delete the data in the external program + + +#### habit tracker project #### +# import requests +# from datetime import datetime + +# username = "mohamedsalama" +# token = "jklf3fd34fhg34hg6" +# graph_id = "graph2" + +# pixela_endpoint = "https://pixe.la/v1/users" + +# user_params = { +# "token": token, +# "username": username, +# "agreeTermsOfService": "yes", +# "notMinor": "yes", +# } + +# # response = requests.post(url=pixela_endpoint, json=user_params) +# # print(response.text) # to see if the post request done right or not + +# graph_endpoint = f"{pixela_endpoint}/{username}/graphs" + +# graph_config = { +# "id": graph_id, +# "name": "Cycling graph", +# "unit": "Km", +# "type": "float", +# "color": "ajisai" +# } + +# headers = { +# "X-USER-TOKEN": token +# } + +# # response = requests.post(url=graph_endpoint, json=graph_config, headers=headers) +# # print(response.text) + +# pixel_creation_endpoint = f"{pixela_endpoint}/{username}/graphs/{graph_id}" + +# today = datetime(year=2023, month=10, day=11) + +# pixel_data = { +# "date": today.strftime(r"%Y%m%d"), +# "quantity": "15", +# } + +# response = requests.post(url=pixel_creation_endpoint, json=pixel_data, headers=headers) + +# ## update request ## + +# update_endpoint = f"{pixela_endpoint}/{username}/graphs/{graph_id}/{today.strftime(r'%Y%m%d')}" + +# new_pixel_data = { +# "quantity": "4.5" +# } + +# requests.put(url=update_endpoint, json=new_pixel_data, headers=headers) + + +# ## Delete Request ## +# delete_endpoint = f"{pixela_endpoint}/{username}/graphs/{graph_id}/{today.strftime(r'%Y%m%d')}" + +# response = requests.delete(url=delete_endpoint, headers=headers) +# print(response.text) + +#################################################################### Exercises #################################################################### +# Practical Email Slice Exercise +# name = input("What's Your Name: \n").strip().capitalize() +# email = input("What's Your Email: \n").strip() +# username = email[:email.index("@")] +# domain = email[email.index("@") + 1:] + +# print(f"Hello {name} Your Email Is {email}") +# print(f"Your Username Is {username} And Your Domain Is {domain}") + + +## Age Details Exercise ## +# age = int(input("What's Your Age: ")) +# death = int(input("Your Full Age: ")) +# life = death - age +# months = life * 12 +# weeks = months * 4 +# days = life * 365 + +# print("You will Live For: ") +# print(f"{months:,d} Months") +# print(f"{weeks:,d} Weekss") +# print(f"{days:,d} Days") + + +## Band Name Generator ## +# print("#" * 100) +# print(" Welcome To The Band Name Generator. ".center(60, "#")) +# print("#" * 100)F + + +# country = input("What's Name Of The City You Grow Up In? \n").capitalize() +# pet = input("What's Your Pet's Name? \n").capitalize() + +# print(f"Your Band Name Could Be {country} {pet}.") + +# name = input("What's Your Name? ").strip().capitalize() + +# print("Your Name Length Is " + str(len(name)) + " .") + + +# Replace Variable Value With Another Variable Value +# a = input("a : ") +# b = input("b : ") + +# Solution 1 +# a, b = b, a + +# print(a) +# print(b) + +# Solution 2 +# c = a +# a = b +# b = c + +# print(a) +# print(b) + + +# Calculate How Many months weeks days left in our lifes until 90 years +# age = 90 - int(input("Type Your Age Here: ").strip()) + +# months = age * 12 +# weeks = months * 4 +# days = age * 365 + +# print(f"You Have {days} Days, {weeks} Weeks, {months} Months Left.") + + +# Tip Calaculator +# bill = float(input("What was the total bill? $:- ")) +# tip = int(input("How much tip would you like to give? 10, 12, or 15? :- ")) +# people = int(input("How many people to split the bill?:- ")) + +# tip_as_percent = tip / 100 +# total_tip_amount = bill * tip_as_percent +# total_bill = bill + total_tip_amount +# bill_per_person = total_bill / people +# # final_amount = round(bill_per_person, 2) +# final_result = "{:.2f}".format(bill_per_person) + +# print(f"Each person should pay: ${final_result}") + + +# Two Digit Numbers Add +# num = input("Type Your Number Here: ") + +# first_num = int(num[0]) +# second_num = int(num[1]) +# add = first_num + second_num + +# print(add) + + +# BMI Exercise +# height = float(input("Enter Your Height In Meters: ")) +# weight = int(input("Enter Your Weight In Kilograms: ")) + +# BMI = round(weight / (height * height)) + +# if BMI < 18.5: +# print(f"Your BMI Is {BMI}, And You Are Underweight.") +# elif BMI < 25: +# print(f"Your BMI Is {BMI}, And You Have Normal Weight.") +# elif BMI < 30: +# print(f"Your BMI Is {BMI}, And Are OverWeight.") +# elif BMI < 35: +# print(f"Your BMI Is {BMI}, And Are Obese.") +# else: +# print(f"Your BMI Is {BMI}, You Are Clinically obese.") + +# print(int(BMI)) + + +# Odd Or Even? +# print("This Is Odd Even Checker.") +# # Asking For The Number +# number = int(input("Which Number Do You Want To Check? ")) + +# # Check If The Number Odd Or Even +# module = number % 2 +# if module == 0: +# print(f"{number} Is Even Number") +# else: +# print(f"{number} Is Odd Number") + + +# Check If The Year Is Leap Year (366) Or Normal Year (365) +# year = int(input("Which Year Do You Want To Check? ")) +# if year % 4 == 0: +# if year % 100: +# if year % 400: +# print("Leap Year.") +# else: +# print("Not Leap Year.") +# else: +# print("Leap Year.") +# else: +# print("Not Leap Year.") + + +# Pizza Order Program +# Small Pizza Price: $15 +# Medium Pizza Price: $20 +# Large Pizza Price: $25 +# pepperoni for small pizza: +$2 +# pepperoni for medium or large pizza: +$3 +# extra cheese for any pizza size: +$1 + +# print("Welcome To Python Pizza Deliveries!") +# size = input("What Size Pizza Do You Want? S, M, Or L :").strip().capitalize() +# add_pepperoni = input("Do You Want Pepperoni? Y Or N :").strip().capitalize() +# extra_cheese = input("Do You Want Extra Cheese? Y Or N :").strip().capitalize() + +# bill = 0 +# if size == "S": +# bill += 15 +# elif size == "M": +# bill += 20 +# else: +# bill += 25 + +# if add_pepperoni == "Y": +# if size == "S": +# bill += 2 +# else: +# bill += 3 +# if extra_cheese == "Y": +# bill += 1 +# print(f"Your Final Bill Is ${bill}.") + + +# Love Calculator Exercise +# print("Welcome To Love Calculator Program!") +# name1 = input("What is your name? \n") +# name2 = input("What's their names? \n") + +# combined_name = name1 + name2 +# lower = combined_name.lower() + +# t = lower.count("t") +# r = lower.count("r") +# u = lower.count("u") +# e = lower.count("e") + +# true = t + r + u + e # int + +# l = lower.count("l") +# o = lower.count("o") +# v = lower.count("v") +# e = lower.count("e") + +# love = l + o + v + e # int + +# love_score = int(str(true) + str(love)) + +# if (love_score < 10) or (love_score > 90): + +# print( +# f"Your score is {love_score}, you go together like coke and mentos.") +# elif (love_score >= 40) and (love_score <= 50): +# print(f"Your score is {love_score}, you are alright together.") +# else: +# print(f"Your score is {love_score}.") + + +# Treasure Island +# print("Welcome To The Treasure Island \nYour Mission Is To Find The Treasure.") +# choice1 = input( +# "You're At A Cross Road. Where Do You Want To Go? Type \"left\" or \"right\":- ").strip().lower() +# if choice1 == "left": +# choice2 = input( +# "You Came To Lake, There Is An Island there is an island in the center of the lake, Type \"wait\" for a boat, Type swim to \"swim\" to the island ").strip().lower() +# if choice2 == "wait": +# choice3 = input( +# "You Arrive Unharmed At The Island, There Is A House With Three Doors , One Is Red, One Yellow, And One Blue, Which Color Do You Choose? ").strip().lower() +# if choice3 == "red": +# print("It's Is A Room Fill Of Fire, Game Over:)") +# elif choice3 == "yellow": +# print("You Found The Treasure, You Win.") +# elif choice3 == "blue": +# print("You Entered A Room Of Beasts, Game Over:)") +# else: +# print("You Choose A Door That Doesnt't Exist, Game Over:)") +# else: +# print("You Got Attacked!, Game Over :)") +# else: +# print("You Choose Wrong, Game Over.:)") + + +# Random Module +# import random +# int_num = random.randint(1, 10) +# print(int_num) + +# decimal_num = random.random() +# print(round(decimal_num, 2)) + + +# Head Or Tail Exercise +# import random +# num = random.randint(0, 1) +# if num == 1: +# print("Heads") +# else: +# print("Tails") + + +# Who Will Pay The Bill Program +# Solution One +# import random + +# names_string = input("Give Me Everybody's Names, Separated By A Comma. ") +# names = names_string.split(", ") + +# print(random.choice(names)) + +# Soultion 2 +# import random +# names_string = input("Give Me Everybody's Names, Separated By A Comma. ") + +# names = names_string.split(", ") +# rand_int = random.randint(0, len(names) - 1) +# the_name = names[rand_int] + +# print(f"The Person Who Should Pay The Bill Is {the_name} :)") + + +# Treasure Map Exercise +# row1 = ["⬜️", "⬜️", "⬜️"] +# row2 = ["⬜️", "⬜️", "⬜️"] +# row3 = ["⬜️", "⬜️", "⬜️"] +# map = [row1, row2, row3] + +# print(f"{row1}\n{row2}\n{row3}") + +# # Asking Where Do You Want To Put The Treasure +# position = input("Where do you want to put the treasure? ") +# # Getting The Position Of The Two Digits Inputs +# horizonal = int(position[0]) +# vertical = int(position[1]) +# # Replace The Two Digits Into The List +# map[vertical - 1][horizonal - 1] = "X" + +# # Printing The Map With The Place Of The Treasure +# print(f"{row1}\n{row2}\n{row3}") + + +# Rock Paper Sessior Exercise +# import random + +# rock = ''' +# _______ +# ---' ____) +# (_____) +# (_____) +# (____) +# ---.__(___) +# ''' + +# paper = ''' +# _______ +# ---' ____)____ +# ______) +# _______) +# _______) +# ---.__________) +# ''' + +# scissors = ''' +# _______ +# ---' ____)____ +# ______) +# __________) +# (____) +# ---.__(___) +# ''' +# game_images = [rock, paper, scissors] + +# user_choice = int( +# input("What do you choose? Type 0 for Rock, 1 for Paper or 2 for Scissors.\n")) +# if user_choice >= 3 or user_choice < 0: +# print("You typed an invalid number, you lose!") +# else: +# print(game_images[user_choice]) + +# computer_choice = random.randint(0, 2) +# print("Computer chose:") +# print(game_images[computer_choice]) + +# if user_choice == 0 and computer_choice == 2: +# print("You win!") +# elif computer_choice == 0 and user_choice == 2: +# print("You lose") +# elif computer_choice > user_choice: +# print("You lose") +# elif user_choice > computer_choice: +# print("You win!") +# elif computer_choice == user_choice: +# print("It's a draw") + +# GUI Exercise +# picture = [ +# [0, 0, 0, 1, 0, 0, 0], +# [0, 0, 1, 1, 1, 0, 0], +# [0, 1, 1, 1, 1, 1, 0], +# [1, 1, 1, 1, 1, 1, 1], +# [0, 0, 0, 1, 0, 0, 0], +# [0, 0, 0, 1, 0, 0, 0] +# ] + +# empty = " " +# star = "*" +# for each_list in picture: +# for bin in each_list: +# if bin == 1: +# print(star, end="") +# else: +# print(empty, end="") +# print() # print("") == print("", end="\n") + + +# Find Duplicates In A List +# some_list = ["a", "b", "c", "b", "d", "m", "n", "n"] + +# duplicates = [] +# for letter in some_list: +# if some_list.count(letter) > 1: +# duplicates.append(letter) +# print(list(set(duplicates))) + + +# Average Height Exercise +# student_heights = input("Input a list of student heights ").split() +# for n in range(0, len(student_heights)): +# student_heights[n] = int(student_heights[n]) + +# summing = 0 +# for num in student_heights: +# summing = summing + num +# # print(summing) + + +# count = 0 +# for counting in student_heights: +# count += 1 +# # print(count) + + +# average_height = round(summing / count) +# print(average_height) + + +# High Score Exercise +# student_scores = input("Input a list of student scores ").split() +# for n in range(0, len(student_scores)): +# student_scores[n] = int(student_scores[n]) + +# for num in student_scores: +# student_scores.sort() +# print(f"The Highest Score In The Class Is {student_scores[-1]}") + +# Adding All The Numbers From 1 To 100 +# sum = 0 +# for num in range(1, 101): +# sum += num +# print(sum) + +# Adding All The Even Numbers From 1 To 100 +# even_sum = 0 +# for num in range(1, 101): +# if num % 2 == 0: +# even_sum += num +# print(even_sum) + +# Another Solution +# even_sum = 0 +# for num in range(2, 101, 2): +# even_sum += num +# print(even_sum) + + +# Fizz Buzz Game +# for num in range(1, 101): +# # print(num) +# if num % 3 == 0 and num % 5 == 0: +# print("FizzBuzz") +# elif num % 3 == 0: +# print("Fizz ") +# elif num % 5 == 0: +# print("Buzz") +# else: +# print(num) + + +# Password Generator Project +# Easy Level +# import random +# letters = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', +# 'z', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z'] +# numbers = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9'] +# symbols = ['!', '#', '$', '%', '&', '(', ')', '*', '+'] + +# print("Welcome to the PyPassword Generator!") +# nr_letters = int(input("How many letters would you like in your password?\n")) +# nr_numbers = int(input(f"How many numbers would you like?\n")) +# nr_symbols = int(input(f"How many symbols would you like?\n")) + +# # Printing The Random Letter +# for letter in letters: +# random_letters = random.choices(letters, k=nr_letters) +# final_letters = "".join(random_letters) + +# # Printing The Random Number +# for num in numbers: +# random_numbers = random.choices(numbers, k=nr_numbers) +# final_numbers = "".join(random_numbers) + +# # Printing The Random Symbol +# for symbol in symbols: +# random_symbols = random.choices(symbols, k=nr_symbols) +# final_symbols = "".join(random_symbols) + +# # Printing The Final Password +# final_password = final_letters + final_numbers + final_symbols + +# print(f"Your Password Could Be {final_password}") + +# # Hard Level +# import random +# letters = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', +# 'z', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z'] +# numbers = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9'] +# symbols = ['!', '#', '$', '%', '&', '(', ')', '*', '+'] + +# print("Welcome to the PyPassword Generator!") +# nr_letters = int(input("How many letters would you like in your password?\n")) +# nr_numbers = int(input(f"How many numbers would you like?\n")) +# nr_symbols = int(input(f"How many symbols would you like?\n")) + +# password = [] +# for letter in range(0, nr_letters): +# password += random.choice(letters) + +# for num in range(0, nr_numbers): +# password += random.choice(numbers) + +# for symbol in range(0, nr_symbols): +# password += random.choice(symbols) + +# random.shuffle(password) +# final_password = "".join(password) +# print(f"Your Password Could Be {final_password}") + + +# Finding The Highest Even Number In A List +# def highest_even_num(my_list): +# # Creating List That Contains The Even Numbers +# evens = [] +# # Looping The Items In The List +# for num in my_list: +# # Check if the number is even +# if num % 2 == 0: +# evens.append(num) +# # Return the hightest even number +# return f"The Highest Even Number In The List Is {max(evens)}." + + +# # Play the function +# print(highest_even_num([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 100])) + + +##### Guessing Number Game ##### +# import random +# answer = random.randint(1, 10) + +# while True: +# print(answer) +# try: +# user_guess = int(input("Guess A Number From 1 To 10:- ").strip()) +# if 0 < user_guess < 11: +# if user_guess == answer: +# print("Correct Number :)") +# break +# except ValueError: +# print("You Need To Type A Number Not A String") +# except: +# print("Error Happened") + + +# Building A Translator +# from translate import Translator +# translator = Translator(to_lang="ja") + +# try: +# with open("Translate.txt", mode="r") as my_file: +# text = my_file.read() +# translation = translator.translate(text) +# print(translation) +# except FileNotFoundError as error: +# print("Check Your File Path.") +# except UnicodeEncodeError: +# print("Encode Error") + +# Area Painting Calculation +# import math +# test_h = int(input("Height of wall: ")) +# test_w = int(input("Width of wall: ")) +# coverage = 5 + +# def paint_calc(height, width, cover): +# number_of_cans = (height * width) / cover +# print(f"You Will Need {math.ceil(number_of_cans)} Of Paint For This Partical Area") +# paint_calc(height=test_h, width=test_w, cover=coverage) + + +# Primer Number Checker +# n = int(input("Check this number: ")) + + +# def prime_checker(number): +# if number % 2 == 0: +# print("This Is Prime Number") +# else: +# print("This Is Not Prime Number") + + +# prime_checker(number=n) + + +########## Calculator App ########## +# logo = """ +# _____________________ +# | _________________ | +# | | Pythonista 0. | | .----------------. .----------------. .----------------. .----------------. +# | |_________________| | | .--------------. || .--------------. || .--------------. || .--------------. | +# | ___ ___ ___ ___ | | | ______ | || | __ | || | _____ | || | ______ | | +# | | 7 | 8 | 9 | | + | | | | .' ___ | | || | / \ | || | |_ _| | || | .' ___ | | | +# | |___|___|___| |___| | | | / .' \_| | || | / /\ \ | || | | | | || | / .' \_| | | +# | | 4 | 5 | 6 | | - | | | | | | | || | / ____ \ | || | | | _ | || | | | | | +# | |___|___|___| |___| | | | \ `.___.'\ | || | _/ / \ \_ | || | _| |__/ | | || | \ `.___.'\ | | +# | | 1 | 2 | 3 | | x | | | | `._____.' | || ||____| |____|| || | |________| | || | `._____.' | | +# | |___|___|___| |___| | | | | || | | || | | || | | | +# | | . | 0 | = | | / | | | '--------------' || '--------------' || '--------------' || '--------------' | +# | |___|___|___| |___| | '----------------' '----------------' '----------------' '----------------' +# |_____________________| +# """ + + +# def add(n1, n2): +# return n1 + n2 + + +# def subtract(n1, n2): +# return n1 - n2 + + +# def multiply(n1, n2): +# return n1 * n2 + + +# def divide(n1, n2): +# return n1 / n2 + + +# operations = { +# "+": add, +# "-": subtract, +# "*": multiply, +# "/": divide +# } + + +# def calculator(): +# print(logo) +# num1 = float(input("What's the first number?: ")) +# for symbol in operations: +# print(symbol) +# should_continue = True + +# while should_continue: +# operation_symbol = input("Pick an operation: ") +# num2 = float(input("What's the next number?: ")) +# calculation_function = operations[operation_symbol] +# answer = calculation_function(num1, num2) +# print(f"{num1} {operation_symbol} {num2} = {answer}") + +# if input(f"Type 'y' to continue calculating with {answer}, or type 'n' to start a new calculation: ") == 'y': +# num1 = answer +# else: +# should_continue = False +# calculator() + + +# calculator() + + +####### Caesar Cipher ####### +# logo = """ +# ,adPPYba, ,adPPYYba, ,adPPYba, ,adPPYba, ,adPPYYba, 8b,dPPYba, +# a8" "" "" `Y8 a8P_____88 I8[ "" "" `Y8 88P' "Y8 +# 8b ,adPPPPP88 8PP""""""" `"Y8ba, ,adPPPPP88 88 +# "8a, ,aa 88, ,88 "8b, ,aa aa ]8I 88, ,88 88 +# `"Ybbd8"' `"8bbdP"Y8 `"Ybbd8"' `"YbbdP"' `"8bbdP"Y8 88 +# 88 88 +# "" 88 +# 88 +# ,adPPYba, 88 8b,dPPYba, 88,dPPYba, ,adPPYba, 8b,dPPYba, +# a8" "" 88 88P' "8a 88P' "8a a8P_____88 88P' "Y8 +# 8b 88 88 d8 88 88 8PP""""""" 88 +# "8a, ,aa 88 88b, ,a8" 88 88 "8b, ,aa 88 +# `"Ybbd8"' 88 88`YbbdP"' 88 88 `"Ybbd8"' 88 +# 88 +# 88 +# """ + +# print(logo) +# alphabet = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', +# 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', +# 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z'] + +# while True: +# direction = input( +# "Type 'encode' to encrypt, type 'decode' to decrypt:\n".lower()) +# text = input("Type your message:\n").lower() +# shift = int(input("Type the shift number:\n")) +# shift = shift % 26 + +# def encrypt(plain_text, shift_amount): +# cipher_text = "" +# for letter in plain_text: +# if letter in alphabet: +# position = alphabet.index(letter) +# new_position = position + shift_amount +# new_letter = alphabet[new_position] +# cipher_text += new_letter +# else: +# cipher_text += letter +# print(f"The Encoded Text Is {cipher_text}.") + +# def decrypt(plain_text, shift_amount): +# decrypt_text = "" +# for letter in plain_text: +# if letter in alphabet: +# position = alphabet.index(letter) +# new_position = position - shift_amount +# new_letter = alphabet[new_position] +# decrypt_text += new_letter +# else: +# decrypt_text += letter +# print(f"The Decoded Text Is {decrypt_text}.") + +# if direction == "encode": +# encrypt(plain_text=text, shift_amount=shift) +# elif direction == "decode": +# decrypt(plain_text=text, shift_amount=shift) +# check = input( +# "Type 'Yes' If You Want To Go Again. Otherwise Type 'No'. \n").capitalize() +# if check == "Yes": +# continue +# else: +# print("See You Next Time :)") +# break + + +####### Grading Program ######## +# student_scores = { +# "Harry": 81, +# "Ron": 78, +# "Hermione": 99, +# "Draco": 74, +# "Neville": 62, +# } + +# student_grades = {} + +# for student in student_scores: +# score = student_scores[student] +# if score > 90: +# student_grades[student] = "Outstanding" +# elif score > 80: +# student_grades[student] = "Exceeds Expectations" +# elif score > 70: +# student_grades[student] = "Acceptable" +# else: +# student_grades[student] = "Failed" + +# print(student_grades) + + +####### Dictionary In A List ######## +# travel_log = [ +# { +# "country": "France", +# "visits": 12, +# "cities": ["Paris", "Lille", "Dijon"] +# }, +# { +# "country": "Germany", +# "visits": 5, +# "cities": ["Berlin", "Hamburg", "Stuttgart"] +# }, +# ] + +# # print(travel_log[0]["country"]) + + +# def add_new_country(country, times, cities): +# new_country = {} +# new_country["country"] = country +# new_country["visits"] = times +# new_country["cities"] = cities +# travel_log.append(new_country) + + +# add_new_country(country="Russia", times=2, cities=[ +# "Moscow", "Saint Petersburg"]) +# print(travel_log) + + +##### Bisection Search Alghorithm ##### +# print("Please Think Of A Number Between 0 and 100:- ") +# low = 0 +# high = 100 +# medium = (low + high) // 2 +# state = True +# while state: +# print(f"Is Your Secret Number {medium}") +# guess = input("Enter 'h' to indicate the guess is too high. Enter 'l' to indicate the guess is too low, Enter 'c' to indicate the guess is correct:- ") +# if guess == 'c': +# print(f"Game Over, Your Guess {medium} Is Correct.") +# state = False +# elif guess == 'h': +# high = medium +# medium = (high + low) // 2 +# elif guess == 'l': +# low = medium +# medium = (high + low) // 2 +# else: +# print("You need to enter a number") + + +########### Heart Shape ############ +# from turtle import * +# color("red") +# begin_fill() +# pensize(10) +# left(50) +# forward(133) +# circle(50, 200) +# right(140) +# circle(50, 200) +# forward(133) +# end_fill() + + +########## Circle Shape ######## +# import turtle +# import colorsys +# t = turtle.Turtle() +# s = turtle.Screen() +# s.bgcolor("red") +# t.speed(0) +# n = 36 +# h = 0 +# for i in range(460): +# c = colorsys.hsv_to_rgb(h, 1, 0.9) +# h += 1/n +# t.color(c) +# t.left(145) +# for j in range(5): +# t.forward(300) +# t.left(150) + + +######### Flower ######### +# import turtle + +# turtle.penup() +# turtle.left(90) +# turtle.fd(200) +# turtle.pendown() +# turtle.right(90) +# turtle.fillcolor("red") +# turtle.begin_fill() +# turtle.circle(10, 180) +# turtle.circle(25, 110) +# turtle.left(50) +# turtle.circle(60, 45) +# turtle.circle(20, 170) +# turtle.right(24) +# turtle.fd(30) +# turtle.left(10) +# turtle.circle(30, 110) +# turtle.fd(20) +# turtle.left(40) +# turtle.circle(90, 70) +# turtle.circle(30, 150) +# turtle.right(30) +# turtle.fd(15) +# turtle.circle(80, 90) +# turtle.left(15) +# turtle.fd(45) +# turtle.right(165) +# turtle.fd(20) +# turtle.left(155) +# turtle.circle(150, 80) +# turtle.left(50) +# turtle.circle(150, 90) +# turtle.end_fill() + +# turtle.left(150) +# turtle.circle(-90, 70) +# turtle.left(20) +# turtle.circle(75, 105) +# turtle.setheading(60) +# turtle.circle(80, 98) +# turtle.circle(-90, 40) + +# turtle.left(180) +# turtle.circle(90, 40) +# turtle.circle(-80, 98) +# turtle.setheading(-83) + +# turtle.fd(30) +# turtle.left(90) +# turtle.fd(25) +# turtle.left(45) +# turtle.fillcolor("green") +# turtle.begin_fill() +# turtle.circle(-80, 90) +# turtle.right(90) +# turtle.circle(-80, 90) +# turtle.end_fill() +# turtle.right(135) +# turtle.fd(60) +# turtle.left(180) +# turtle.fd(85) +# turtle.left(90) +# turtle.fd(80) + +# turtle.right(90) +# turtle.right(45) +# turtle.fillcolor("green") +# turtle.begin_fill() +# turtle.circle(80, 90) +# turtle.left(90) +# turtle.circle(80, 90) +# turtle.end_fill() +# turtle.left(135) +# turtle.fd(60) +# turtle.left(180) +# turtle.fd(60) +# turtle.right(90) +# turtle.circle(200, 60) +# turtle.done() + + +###################### Messi ###################### +# from sketchpy import canvas +# Turtle = canvas.sketch(x_offset=290, y_offset=320) + + +# Turtle.draw_fn("face_out", co=(233, 183, 151), mode=0) +# Turtle.draw_fn("beard_out", co=(30, 25, 31), mode=0) + +# Turtle.draw_fn("chin1", co=(204, 139, 124), mode=0) +# Turtle.draw_fn("chin2", co=(204, 139, 124), mode=0) + +# Turtle.draw_fn("lip_lower", co=(214, 125, 100), mode=0) +# Turtle.draw_fn("lip_upper", co=(186, 30, 21), mode=0) + +# Turtle.draw_fn("nostril", co=(8, 15, 29), mode=0) +# Turtle.draw_fn("nose_curve", co=(128, 69, 56), mode=0) +# Turtle.draw_fn("right_eyebrow", co=(12, 16, 22), mode=0) +# Turtle.draw_fn("left_eyebrow", co=(12, 16, 22), mode=0) + +# Turtle.draw_fn("noseline", co=(12, 16, 22), mode=0) + +# Turtle.draw_fn("eyelid", co=(13, 15, 23), mode=0) +# Turtle.draw_fn("eye", co=(17, 12, 20), mode=0) +# Turtle.draw_fn("sclera", co=(230, 231, 229), mode=0) +# Turtle.draw_fn("eyeball", co=(15, 25, 15), mode=0) +# Turtle.draw_fn("eyeball_centre", co=(230, 231, 229), mode=0) + +# Turtle.draw_fn("hair_outline", co=(12, 16, 25), mode=0) +# Turtle.draw_fn("hair_shade1", co=(12, 16, 25), mode=0) +# Turtle.draw_fn("hair_shade2", co=(61, 44, 52), mode=0) +# Turtle.draw_fn("hair_shade3", co=(119, 64, 75), mode=0) +# Turtle.draw_fn("hair_shade4", co=(119, 64, 75), mode=0) +# Turtle.draw_fn("hair_shade5", co=(61, 44, 52), mode=0) +# Turtle.draw_fn("hair_shade6", co=(119, 64, 75), mode=0) +# Turtle.draw_fn("hair_shade7", co=(61, 44, 52), mode=0) +# Turtle.draw_fn("hair_shade8", co=(61, 44, 52), mode=0) + +# Turtle.draw_fn("throat", co=(245, 207, 171), mode=0) +# Turtle.draw_fn("throat_shade1", co=(236, 180, 153), mode=0) +# Turtle.draw_fn("throat_shade2", co=(236, 180, 153), mode=0) + +# Turtle.draw_fn("ear_line1", co=(16, 10, 8), mode=0) +# Turtle.draw_fn("ear_line2", co=(16, 10, 8), mode=0) +# Turtle.draw_fn("ear_line3", co=(16, 10, 8), mode=0) +# Turtle.draw_fn("ear_shade1", co=(212, 138, 124), mode=0) +# Turtle.draw_fn("ear_shade2", co=(212, 138, 124), mode=0) +# Turtle.draw_fn("ear_shade3", co=(212, 134, 122), mode=0) + +# Turtle.draw_fn("beard_shade1", co=(124, 77, 75), mode=0) +# Turtle.draw_fn("beard_shade2", co=(127, 76, 76), mode=0) + +# Turtle.draw_fn("face_shade1", co=(209, 137, 122), mode=0) +# Turtle.draw_fn("face_shade2", co=(208, 138, 119), mode=0) + +# Turtle.draw_fn("eye_shade1", co=(209, 143, 126), mode=0) +# Turtle.draw_fn("eye_shade2", co=(209, 143, 126), mode=0) + +# Turtle.draw_fn("face_shade3", co=(245, 207, 171), mode=0) +# Turtle.draw_fn("face_shade4", co=(240, 208, 169), mode=0) + +# Turtle.draw_fn("forhead_shade1", co=(202, 135, 119), mode=0) + +# Turtle.draw_fn("tshirt", co=(0, 30, 82), mode=0) +# Turtle.draw_fn("tshirt_color1", co=(193, 36, 57), mode=0) +# Turtle.draw_fn("tshirt_color2", co=(4, 31, 138), mode=0) +# Turtle.draw_fn("tshirt_color3", co=(3, 35, 180), mode=0) + +# Turtle.draw_fn("end", retain=True, co=(230, 239, 234), mode=0) + + +############### Annoying My Friend ############## +# import random +# import pyautogui as pg +# import time +# # my_list = ("I Hacked Your Friend Computer :)") +# time.sleep(8) +# for i in range(100): +# # a = random.choice(animal) +# pg.write("stop this all of you") +# pg.press("enter") + + +# Drawing Bill Gates +# from sklearn.preprocessing import scale +# pic = canvas.sketch_from_svg( +# r"D:\Programming\Python\Python Projects\7-removebg-preview.svg") +# pic.draw() + + +#### Drawing Elzero #### +# from sketchpy import canvas +# pic = canvas.sketch_from_svg( +# r"D:\Programming\Python\Python Projects\manar.svg") +# pic.draw() + + +# ########### Convert The Image Into Sketch ########## +# import cv2 +# image = cv2.imread( +# "cristi.jpg") +# grey_img = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) +# invert = cv2.bitwise_not(grey_img) +# blur = cv2.GaussianBlur(invert, (21, 21), 0) +# invertedblur = cv2.bitwise_not(blur) +# sketch = cv2.divide(grey_img, invertedblur, scale=256.0) +# cv2.imwrite("test2.png", sketch) + + +########### Car Game ############ +# from ursina import * +# import random + +# app = Ursina() +# camera.orthographic = True + +# camera.fov = 10 + +# car = Entity(model='quad', texture='car', +# collider='box', scale=(2, 1), rotation_z=-90, y=-3) + +# road1 = Entity(model='quad', texture='road', scale=15, z=1) +# road2 = duplicate(road1, y=15) +# pair = [road1, road2] + +# enemies = [] + + +# def newEnemy(): +# val = random.uniform(-2, 2) +# new = duplicate(car, texture='enemy', x=2*val, y=25, color=color.random_color(), +# rotation_z=90 if val < 0 else -90) +# enemies.append(new) +# invoke(newEnemy, delay=0.5) + + +# newEnemy() + +# def update(): +# car.x -= held_keys['a']*5*time.dt +# car.x += held_keys['d']*5*time.dt +# for road in pair: +# road.y -= 6*time.dt +# if road.y < -15: +# road.y += 30 +# for enemy in enemies: +# if enemy.x < 0: +# enemy.y -= 10 * time.dt +# else: +# enemy.y -= 5 * time.dt +# if enemy.y < -10: +# enemies.remove(enemy) +# destroy(enemy) +# if car.intersects().hit: +# car.shake() + + +# app.run() + +####### Tkinter Youtube Downloader ####### +# from tkinter import * +# import tkinter.messagebox +# import pytube + + +# def download(): +# try: +# link = entry.get() +# yt = pytube.YouTube(link) +# videos = yt.streams.all() +# s = 1 +# for v in videos: +# tkinter.messagebox.showinfo("Video Info", str(s)+" "+str(v)) +# s += 1 +# n = int(input("Enter the number of the video: ")) +# vid = videos[n-1] + +# vid.download(r"C:\Users\Moham\Downloads") +# tkinter.messagebox.showinfo( +# "Download Completed", "Downloaded Successfully") +# except Exception as e: +# tkinter.messagebox.showinfo("Error Occured", e) + + +# root = Tk() +# root.title("Youtube Downloader") +# root.geometry("500x600") + +# # file = PhotoImage(file="youtube.png") +# # headingIcon = Label(root, image=file) +# # headingIcon.pack(side=TOP) + +# label = Label(root, text="Youtube Downloader", font="Verdana 15 bold") +# label.pack(side=TOP) + +# entry = Entry(root, width=50, borderwidth=5) +# entry.pack(side=TOP) + +# button = Button(root, text="Download", command=download) +# button.pack(side=TOP) + +# root.mainloop() + + +################ remove image Background ################ +# from rembg import remove +# from PIL import Image +# input_path = "Mohamed.jpg" +# output_path = "Mohamed" +# input = Image.open(input_path) +# output = remove(input) +# output.save(output_path) + + +############## Code_Wars ############## +## Lario And Muigi Pipe Problem ## +# def pipe_fix(numbers): +# return list(range(min(numbers), max(numbers) + 1)) + +# print(pipe_fix([-1,3,5])) + + +## Digit*Digit ## +## My_Solution ## +# def square_digits(num): +# for n in str(num): +# print(int(n) ** 2, end="") + + +# square_digits(123) + +# Another_Solution +# def square_digits(num): +# ret = "" +# for x in str(num): +# ret += str(int(x)**2) +# return int(ret) + +# print(square_digits(123)) diff --git a/appkits/qpyapp/src/qpynotes/topics/tips/Netwrok+_Certification_Notes.py b/appkits/qpyapp/src/qpynotes/topics/tips/Netwrok+_Certification_Notes.py new file mode 100644 index 0000000..ebf1fe1 --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/tips/Netwrok+_Certification_Notes.py @@ -0,0 +1,248 @@ +# The whole purpose of networking is to send data from one machine to another. +# Switches => A device that connects network devices together, Is just a next generation of hubs that combine hubs with another device called a bridge, and they can use logic + # to learn which physical ports are attached to which devices based on their mac addresses and in this way they can send data to specific devices in the network. + # also known as a multiport bridge, it's a layer 2 device that connects multiple network segments together +# WAP ( wireless access point ) => Are devices that allows wireless devices to connect into a wired network, acts like a wireless hub. +# WAN ( wide area network ) Links => It simply connects an internal netwrok to an external one. +# IEEE 802.3 refers to Ethernet, IEEE 802.11 refer to Wi-Fi. +# OSI model is also called OSI Stack and reference model. +# TCP/IP Model also called TCP/IP Stack or DoD Model named for who created it. +# PDU is just a single unit of information transmitted in a computer network. +# TCP Header is a 20 bytes of data while UDP Header is a 8 bytes of data. +# Bandwidth => measure how many bits the network can transmit per second. +# Bridge => analyzes source MAC address and makes intelligent forwarding decisions based on the destination MAC in the frames, acts in layer 2. +# Router => acts in layer 3 because it's depends on ip addresses. +# multilayer switch or layer 3 switch => is a combination from switch and router and acts in layer 3 of the OSI Model. +# User Authentication ( 802.1x ) => requires users to authenticate themselves before gaining access to the network. +# SSH ( Secure Shell ) => remote administration program that allows connection to the switch over a network. +# FTP protocol is not encrypted so all passwords and data are sent in the clear. +# IIS and Apache is a web servers. +# DHCP is a network management protocol that operates over ports 67, 68 using UDP connection. +# DNS operates over port 53 using TCP connection. +# NTP operates over port 123 using UDP connection. +# www.facebook.com www is the subdomain, facebook is the domain name, .com is the top level domain. +# forward DNS lookup determines the IP address based on a given hostname. +# reverse DNS lookup determines the hostname based on the given IP and it's the opposite of A record in the DNS. +# Nameserver is a type of DNS server that stores all the DNS recrods for a given domain +# DNS resolver or DNS Cache makes a local copy of every DNS entry if resolves as you connect to websites +# the three methods we use in wireless security +# 1- WEB ( Wired Equivalent Privacy ) :- This is the original 802.11 wireless security standard which is an insecure security protocol, +# and it works using pre-shared key to every host and it's 40 bit key, and you can easily crack the key and hack the wifi using aircrack-ng software which is used for wireless pentesting +# uses a 24-bit initialization vector ( IV ) send in a clear text +# 2- WPA ( Wi-Fi Protected Access ) :- Replaced WEB and follows the temporal key integrity protcol ( TKIP ), uses 48-bit IV +# and added another feature called Rivest Cipher 4 ( RC4 ) for encryption +# also added the Message Integriy Check ( MIC ) to confirm data was not modified in transmit +# 3- WPA2 ( Wi-Fi Protected Access 2 ) :- Created as part of IEEE 802.11i standard and requires stronger encryption and integrity checking through CCMP +# it replaced the RC4 with AES ( Advanced Encryption Standard ) to provide security by using a 128-bit key or higher. +# the easiest way to crack WPA2 by using password attacks and this is means guessing the password using burte force attack or a dictionary attack. +# there's two modes for WPA2 one is personal mode with pre-shared key where everyone has the same password and is used in home or small office, +# two enterprise mode with centralized authentication, where every user gets a single username and password unique to them + +# ACL stands for Access Control List, it is a set of rules that is usually used to filter network traffic. +# SSID stands for Service Set ID and it's the name of your wifi and if you set to disable in the router configuration this will hide your wifi. +# enable wireless isolation this is a seeting in the router configurations always enable it to keep the channels and frequencies isolated from each other to act more like a switch not a hub. +# CIA Triad stands for +# Confidenttiality :- keeps data private and safe using encryption and authentication to access resources. +# Integrity :- ensuers that the data was not modified in transit and verifies it came from it's original source and it helps to prevent attacks like ip spoofing, ARP spoofing, MAC spoofing +# Availability :- measures data accessibility and is increased by designing redundant networks. + + +# there's two types of encryption +# 1- symmetric encryption :- sender and receiver use the same key to encrypt and decrypt a message. +# 2- Asymmetric Encryption :- sender and receiver use the different keys to encrypt and decrypt a message. + +# Technical Vulnerabiliteis :- System-specific conditions that create security weakness like CVE or Zero-day vulnerability. +# CVE stands for Common Vulnerabilities and Exposure :- it's a list of disclosed computer security weakness, basically it's an official list of all the known technical vulnerabilities +# for each and every piece of software that's publicly avaliable. +# Zero-Day :- is a brand new vulnerability that's no one has discovered or reported it yet and only the professional cyber security engineer's know it, when they reported it it becomes +# no more a Zero-Day vulnerability and becomes a CVE + +# when you take advantage of a vulnerability this is called an exploit, exploit is a piece of software code that takes advantage of a security vulnerability within a system or a network. + +# Threat Assessment :- focused on identification of the different threats that may wish to attack or cause harm to your system or network +# a common tool to do this called MITRE ATT&CKL and it's a globally accessible knowledge base of adversary tactics and techniques based on real world observations from the field +# and it lets an administrator or analyst walk through the typical methodologies that are used by different threats or hackers to harm your network and help you to identify the +# vulnerability and protect your self. + +# vulnerability assessment :- focused on identifying and prioritizing the risks and vuljnerabiliteis in a system or network using a vulnerability scanner like Nessus, QulaysGuard, OpenVAS + +# penetration test :- evaluates teh security of an IT infrastructure by safely trying to exploit vulnerabiliteis within the systems or network. + +# Brute force attack :- tries every possible combination until they figure out the password, if the password short and weak it's just a matter of time until the attacker gets your password. +# hubrid attack is a combination of dictionary and burteforce attacks. +# Authentication :- is the process of determining whether someone or something is who or what it claims itself to be. +# AD stands for Active Directory :- organizes and manages everything on the network including clients servers devices users. +# DoS attack stands for Denial of servcie attack :- occurs when one machine continually floods a victim with requests for services, to make a DoS attack the attacker may use 2 ways, +# 1- TCP SYN flood :- occurs when an attacker initiates multiple TCP sessions, but never completes them. +# 2- ICMP flood ( Smurf Attack ):- occurs when an attacker sends a ping to a subnet broadcast address with the source IP spoofed to be that of the victim server, to handle this attack +# you shoud block ping requests to your server. + +# DDoS attack stands for Distributed Denial of Service Attack :- occurs when an attacker uses multiple computers to ask for access to the same server at the same time. +# MITM attack stands for man in the middle attack or On-Path attack :- occurs when an attacker puts themselves between the victim and the intended destination, in this attack the attacker +# have the ability to monitor whatever you're sending or manipulate the data you're sending to the server. + +# session Hijacking Attack :- occurs when an attacker guesses the session ID that is in used between a client and a server and takes over authenticated sessoin. + +# DNS poisoning Attack :- occurs when an attacker manipulates known vulnerabilities within the DNS to reroute traffic from one site to a fake version of that site, to overcome this attack +# a new version of DNS servers invented called DNS SEC and it uses encrypted digital signatures when passing DNS information between servers to help protect it from poisoning. + +# Rogue DHCP server :- A DHCP server on a netwrok which is not under the administrative contorl of the network administrators, it happens when the attacker connect his DHCP server on your +# network and have control on it and handle everything like ip addresses, subnet masks, gateways, DNS servers. + +# IP spoofing attack :- Modifying the source address of an IP packet to hide the identity of the sender or impersonate another client. +# MAC spoofing attack :- changing the MAC address to pretend the use of a different network interface card or device, to change the mac address in mac system you can use the command +# sudo ifconfig en0 ether . + +# MALWARE :- is a shorthand for Malicoius Software, designed for damage a computer system and possibly damage it without the user's knowledge. +# RAT stands for Remote Access Trojan :- provides the attacker with remote control of a victim machine. +# spyWare :- gathers informatin about you without your consent +# key looger :- captures any strokes made on the victim machine. +# rootkit:- designed to gain administrative control over a computer system or network device without being detected. + +# Phishing attack :- is a one type of social engineering attacks, it's a method of sending an email in an attempt to get a user to click a link, those types of attacks depends of the user, +# because when you sending a link to a user he will probably open it without thinking so it's a great way for us as attackers. + + +############# ShortCuts ############# +# 01- IPX ( Internetwork Packet Exchange but it's killed when IP appeared ). +# 02- ASCII ( American Standard for Computer Information Interchange ). +# 03- WAP ( wireless access point ). +# 04- WAN ( wide area network ). +# 05- MAC ( Media Access Control ). +# 06- IP ( Internet Protocol ). +# 07- TLS ( Transport Layer Security ). +# 08- TELNET (). +# 09- WI-FI (). +# 10- SSH ( Secure Shell ). +# 11- OSI ( Open System Interconnection ). +# 12- ISO ( International Organisation for Standarization ). +# 13- DNS ( Domain Name Service => Domain ). +# 14- FTP ( File Transfer Protocol ). +# 15- ISP ( Internet Service Provier ). +# 16- PDU ( Protocol Data Unit ). +# 17- TCP ( Transimission Control Protocol ). +# 18- UDP ( User Datagram Protocol ). +# 19- TCP/IP ( Transimition Control Protocol/Internet Protocol ). +# 20- SMTP ( Simple Mail Transfer Protocol ). +# 21- DHCP ( Dynamic Host Control Protocol ). +# 22- TFTP ( Trivial File Transfer Protocol ). +# 23- POP3 ( Post Office Protocol version 3 ). +# 24- NTP ( Network Time Protocol ). +# 25- NetBIOS ( Network Basic Input/Output System ). +# 26- IMAP ( Internet Mail Application Protocol ). +# 27- SNMP ( Simple Netwrok Management Protocol ). +# 28- LDAP ( Lightweight Directory Access Protocol ). +# 29- SSL ( Secure Socket Layer ). +# 30- SMB ( Server Message Block Protocol ). +# 31- Syslog ( System Logging Protocol ). +# 32- RDB ( Remote Desktop Protocol ). +# 33- SIP ( Session Initiation Protocol ). +# 34- Nmap ( Network Mapper ). +# 35- ICMP ( Internet Control Message Protocol ). +# 36- GRE ( Generic Routing Encapsulation ). +# 37- STP ( Spanning Tree Protocol ). +# 38- CIDR ( Classless Inter-domain Rounting Notation ). +# 39- FDDI Ring ( Fiber Distributed Data Interface ). +# 40- IDS ( Intrusion Detection System ) +# 41- IPS ( Intrusion Prevention System ) +# 42- VoIP phone ( Voice Over Internet Protocol ) +# 43- APIPA ( Automatic Private Internet Protocol Address ) +# 44- WINS ( Windows Internet Name Service ) +# 45- BOOTP ( Bootstrap Protocol ) +# 46- RIP ( Routing Information Protocol ) +# 47- OSPF ( Open Shortest Path First ) +# 48- EIGRP ( Enhanced Interior Gateway Routing Protocol ) +# 49- BGP ( Border Gateway Protocol ) +# 50- NAT ( Network Address Translation ) +# 51- PAT ( Port Address Translation ) +# 52- IIS ( Internet Information Service ) +# 53- FQDN ( Fully-Qualified Domain Name ) +# 54- URL ( Uniform Resource Locator ) +# 55- DSL ( Digital Subscriber Line ) + + +############# MAC Adresses ############# +# Physical addressing system of a device which operates on a logical topology. +# It will be like 6 pairs of characters separated by : and each pair consists from two characters. +# Uses a 48-bit address assigned to a network interface card (NIC). +# It consists of 12 characters in hexadecimal. +# Each number or character is considered as 4 bits. +# The first 6 chars is called Vendor Code and it's represents who made this NIC. +# The next 6 chars is called unique value and it's repersents the exact machine that belongs to. +# Example => D2:51:F1:3A:34:65 +# FF:FF:FF:FF:FF:FF is the broadcast mac address at layer two. + + +############# IPv4 ############# +# Writeen in a series of four decimal numbers separated by dot which known as Dotted-Decimal Notation +# each part of the four decimal numbers knows as Octet +# each part has 8 bits so the values can go from 0 to 255 +# total address is 32 bits ( 4 * 8 ) +# ipv4 address is actually in binary digits but it is written as decimal to make it easirer for us to read +# 255 represents in binary as 11111111 and 0 in binary is 00000000 +# the first 3 parts (octets) represents the network portion while the last part represents the host (desktop computer, server, labtop, mobile, tablet) in class C address. +# subnet mask is useless without a ip address and ip address is useless without subnet mask. +# 255 or 1 in the subnet mask represents the network portion +# 0 in the subnet make represents the host portion +# 127.0.0.1 represents the local host or the home network, and it is also called the loopback address. +# APIPA Adresses always will be in range from 169.254.0.0 To 169.254.255.255 +# 192.168.1.1/24 /24 this tells you how many bits are set to one in the subnet mask, class C, 255.255.255.0 or 11111111.11111111.11111111.00000000 +# 224.0.0.0 to 239.255.255.255 is the multicast address +# 255.255.255.255 is the broadcast address + + +############# IPv6 ############# +# 128 bit address expressed in hexadecimal separated by colons +# The loopback address for ipv6 is ::1 +# FE80 is a link local address for IPv6 similar to APIPA in IPv4 +# FC00 or FD00 is a unique local addres and it's the internal private IP addresses +# There's no broadcast address in IPv6 +# FF00::/8 is the multicast address + + +############# Commands ############# +# 1- tracert => is a command that allows you to check all the routers you go through from your system to any other system, displays the path between device and it's destinatio, showing +# the source and destination ip address for each hop along the way. + ## tracert (Windows), traceroute (Linux) + ## usage => tracert destination => tracert www.google.com +# Hop is any router or firewall that is in the path of the transmission from client to destination. + +# 2- pathping => similary to tracert but with more information and more faster. + ## usage => pathping destination => pathping www.google.com + +# 3- ping => used to get the status of a specific destination, helps us in network troubleshouting + ## usage => ping www.google.com +# ping -n option allows you to calculate the number of ping ( ping -n 10 google.com ) +# ping -t option allows you to ping forever, you can use it to test if the WAN connection is running or not +# ping -c number option works in linux and it will specify the number of ping ( ping -c 10 google.com ) +# in windows ping will ping the target 4 times as default and if you want to ping it forever use ping -t, while in linux by default it will ping the target for ever until you stop it. + + +# 4- ipconfig => displays all of the current TCP/IP network configuration values and refreshes DHCP and DNS settings for a windows client or server. + ## ipconfig (Windows) ifconfig (Linux) + ## usage => gives you information about your network like ipv4, ipv6, DHCP server, etc... +# ipconfig /release :- to remove the ipv4 address and the subnet mask and the default gateway +# ipconfig /renew :- to renew the ipv4, subnetmask, default gatway +# ipconfig /all :- will give you more configurations like mac address, DNS server. + +# 5- route print == netstat -r + ## usage => to print the routing table in windows. + +# 6- tcpdump => works in linux, and it is a alternative capture tool like wireshark + ## usage => it's a network analyzer + +# 7- netstat => lists all the open ports and connections on your computer, and to show you what is the type of network connections esablished between your computer and any other computer + ## usage => netstat -n option will give you the ip address of the foreign address. +# netstat -b option shows the executable for every connection. +# netstat -o option shows you the executable and process id for every connection. +# netstat -a option shows you all the active ports. +# netstat -r option shows you the local routing table. + +# 8- ip => Assigns an address to a network interface or configures netwrok interface prameters on a Unix, Linux, or OS X operating systems, replaced the ifconfig. + +# 9- nslookup (name server lookup) :- used to query the DNS to provide the mapping between domain names and IP addresses or other DNS records, it is used to know the ip address of a domain name. + +# 10- hostname => used to display the hostname portion of the full computer name for a given system. + +# 11- arp (address resolution protocol) => used to display and modify entries in the ARP cache on a system. + ## usage => arp -a option to show you the ARP cache \ No newline at end of file diff --git a/appkits/qpyapp/src/qpynotes/topics/videos/ghostcut.ipynb b/appkits/qpyapp/src/qpynotes/topics/videos/ghostcut.ipynb new file mode 100644 index 0000000..f63dbba --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/videos/ghostcut.ipynb @@ -0,0 +1,93 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "## Sign \n", + "# -*- coding: utf-8 -*-\n", + "# https://jollytoday.feishu.cn/docx/T971dwGEko0Q6PxN24DcWQOKnQf\n", + "import requests\n", + "import hashlib\n", + "import json\n", + "appKey=\"YOUR AppKey\"\n", + "appSecret=r\"YOUR AppSecret\"\n", + "\n", + "def get_sign(body):\n", + " md5_1 = hashlib.md5()\n", + " md5_1.update(body.encode('utf-8'))\n", + " body_md5hex = md5_1.hexdigest()\n", + " md5_2 = hashlib.md5()\n", + " body_md5hex = (body_md5hex + appSecret).encode('utf-8')\n", + " md5_2.update(body_md5hex)\n", + " sign = md5_2.hexdigest()\n", + " return sign\n", + "\n", + "# -*- coding: utf-8 -*-\n", + "\n", + "# https://jollytoday.feishu.cn/docx/T971dwGEko0Q6PxN24DcWQOKnQf\n", + "\n", + "import requests\n", + "import hashlib\n", + "import json\n", + "\n", + "url=\"https://api.zhaoli.com/v-w-c/gateway/ve/work/translation\"\n", + "body=json.dumps({\n", + " \"urls\": [\"http://xxx/yyy.mp4\"],\n", + " \"voice\": 1,\n", + " \"wyVoiceParam\": 62,\n", + " \"lang\": \"en\",\n", + " \"sourceLang\": \"zh\",\n", + " \"removeBgAudio\": 1,\n", + " \"needChineseOcclude\": 1,\n", + " \"needTrim\": 0,\n", + " \"needMask\": 0,\n", + " \"needMirror\": 0,\n", + " \"needRescale\": 0,\n", + " \"music\": 0,\n", + " \"musicRegion\": \"\",\n", + " \"resolution\": 1,\n", + " \"callback\": \"\"\n", + "})\n", + "\n", + "sign = get_sign(body)\n", + "\n", + "print(sign)\n", + "headers = {\n", + " 'Content-type': 'application/json',\n", + " 'AppKey': appKey,\n", + " 'AppSign': sign,\n", + "}\n", + "\n", + "result=requests.post(url, data=body, headers= headers).json()\n", + "\n", + "# {\"code\":1000,\"msg\":\"success\",\"body\":\"ok\"}\n", + "print(result)" + ], + "id": "d422deb41daf3e52" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/appkits/qpyapp/src/qpynotes/topics/videos/ghostcut.md b/appkits/qpyapp/src/qpynotes/topics/videos/ghostcut.md new file mode 100644 index 0000000..1c0a20c --- /dev/null +++ b/appkits/qpyapp/src/qpynotes/topics/videos/ghostcut.md @@ -0,0 +1,140 @@ +## [English Version](https://github.com/JollyToday/GhostCut/blob/main/README.md "GhostCut English info") ---- [中文版](https://github.com/JollyToday/GhostCut/blob/main/README_cn.md "鬼手剪辑中文介绍") + + +### 视频文字翻译示例:从做到右全自动翻译并剪辑完成 +鬼手剪辑能自动翻译视频内的文字和语音,做到样式还原和音画对齐,以下是真实案例。 +支持多种语言。 + + + +### 最新产品更新 +* 10.12-#AI图片处理上线:全自动擦除图片内的文字,全自动翻译图片。效果卓越,全球领先,免费使用。 +* 09.26-#鬼手剪辑去重更新:新增【高级二创】-支持短剧二创/解说二创 +-- 支持AI一键改写,根据原内容重新生成文案,配音和字幕,可灵活搭配去重大幅提高二创度; +-- 增加字幕位置推断,有效避免场景文字的误擦除。 +* 9.13-#鬼手剪辑去重和TK发布更新 +-- 去重功能更新:新增多种去重方式,随机镜像,随机加速,调色等, 开放掐头去尾,抽帧等操作选项,用户可以自定义去重操作 +-- 作品页新增TK一键发布功能,可以直接在小程序绑定TikTok账号,官方接口授权,处理后的作品一键发布到海外TikTok + 08.29-#鬼手剪辑网页版更新,新增TikTok一键发布功能,在鬼手剪辑处理好的视频,可以直接发布到绑定的TikTok账号内,支持自定义标签,文案,发布权限。详细教程说明:一键发布到 TikTOK(2023-8-29) 内测阶段免费使用。 +* 08.04-#鬼手剪辑网页版更新,更简单的页面布局,更清晰的介绍,网页版支持各种在线调整,欢迎体验。 +* 07.28-#API开放,鬼手剪辑支持在线API的开通和使用,更自主、更简单、更多组合都可支持。入口在网页端个人主页。即开即用,即买即充。 +* 06.05-#618福利大放送 +-- 福利一:原季度会员套餐升级为半年度 ,加时不加价 +-- 福利二:过期点数领回,购买任意套餐可以找回30天内过期得点数。 +* 05.14-#翻译产品更新:鬼手剪辑上线硬字幕在线编辑,可以在电脑端调整硬字幕翻译的文字内容; +* 04.18-#翻译产品更新:鬼手剪辑手机版【翻译视频声音】&【翻译视频文字】功能新增翻译字幕调整功能,用户可以在手机端小程序内直接对翻译后的作品文字和样式,进行调整修改,不需要在电脑端也可以完成纠错流程,同时也可以对比查看新老视频,调整文案; +* 04.17-#翻译产品更新:视频语音翻译上线分段变速,全面保证【语音-画面-字幕】的对齐,对齐更准,发音更稳定; +* 03.28-#翻译产品更新:翻译视频文字产品上线网页版,同时支持一次性完成视频文字翻译+视频去重+智能配乐等; +* 03.23-#语音更新:接入剪映(抖音)、CapCut的常用声音,如东北老铁,广西壮汉,英文活力Ariana,欢迎体验; +* 03.15-#API更新:开放了自动去字幕、自动视频文字翻译、自动视频语音翻译、自动视频去重等多项独家产品的API,欢迎咨询; +* 03.09-#翻译产品更新:所有翻译引擎调用ChatGPT,准确度更高,尤其是小语种之间的翻译效果,欢迎体验; +* 01.16-#翻译产品更新:翻译视频文字产品上线。 + +## 1.鬼手剪辑GhostCut-AI视频剪辑工具 +鬼手剪辑是一款智能的视频剪辑软件,他的核心用途是帮助客户提高素材的处理速度和视频创意的生产的质量,我们用了大量的AI的能力在各个音视频的处理细节上,提高了对于很多视频的处理效率。 +1. **【自动去文字】** 自动OCR检测视频中的所有文字并进行inpainting涂抹,尽量还原被擦除的视频部分; +2. **【自动翻译视频文字】** 自动OCR检测视频中的字幕,并对视频内文字的位置、样式、大小等进行计算和提取,然后使用ChatGPT对字幕翻译后按原文字样式、原位置贴回,同时对原文字进行inpainting涂抹; +3. **【自动翻译视频语音】** 自动ASR提取视频中的语音,并对提取后的语音进行翻译,同时使用TTS对翻译后的文本合成语音。在此过程计算原画面、语音和字幕的位置,会对新合成的语音、字幕和原画面做自动对齐,尽量保证音画一致。可以同时选择是否对原文字进行inpainting涂抹;可以选择是否保留原声,保留原声的效果是自动分离原视频的人声和背景音乐,保留背景音乐。 +4. **【自动视频去重】** 自动对视频进行微小的改动处理,全自动完成以下操作,包括但不限于对修改md5、去除视频指纹、对视频叠加画中画、微小裁剪、使用高斯模糊、自动剪辑封面剪辑、画面做微弱倾斜、使用锐化、使用加减速等以及其他转场、滤镜、缩放、一键改写字幕样式、字幕内容和重新配音等操作。一般用于 **短视频** 快速二次创作或视频裂变处理。 +5. **【自动图片擦除与翻译】** 鬼手剪辑的图片翻译服务,是新推出的AI图片处理产品,他融合了多个最新的AI模型,整体优化了翻译质量、样式排版和文字回填,把图片翻译的质量,提高到了一个新的水平。 + +## 2.产品特色 +1. 使用了大量最新的AI技术+音视频处理算法,尽可能提高处理效果; +2. 采用自动化和智能化的设计理念,端到端的解决问题,尽可能交付成品; +3. 开放了所有的API和中间产物,方便大家集成。 + +## 3.视频处理案例 +[鬼手剪辑测试地址](https://ghostcut.jollytoday.com/index/cn?redirect=%2Fhome/cn&code=th741 "GhostCut体验")。 +有中英文版本。大陆用户可以访问微信小程序,鬼手剪辑。 + +### 智能去文字-案例 +自动OCR检测文字并去除, 视频效果请点此查看 + + + +[去水印/去文字/视频擦除教程](https://jollytoday.feishu.cn/docx/OKPVdDPzkogpCmxCFD2c4GBMnLd "鬼手剪辑视频自动去文字教程") + + +**鬼手剪辑能自动去除哪些案例?具体如下** + + +### 自动翻译视频文字-案例 + + +翻译后的视频文字样式保持不变, 视频效果请点此查看 +[YouTube视频文字翻译案例](https://youtu.be/VDXR6y7-pBg "鬼手剪辑视频文字翻译案例") + + +### 自动翻译视频语音-案例 + +翻译后的视频是带有语音同步解说的,自动音画同步,视频效果请点此查看 + +[YouTube视频语音翻译案例](https://youtu.be/6CCI5ZA-3JE "鬼手剪辑视频语音翻译案例") + + +## 4.具体AI剪辑能力说明 +### 视频微剪辑/视频去重相关,[查看去重介绍](https://github.com/JollyToday/GhostCut_Recreate_Video/blob/main/README.md "鬼手剪辑视频去重介绍") +* 支持基础视频去重,一次性做基础微剪裁 +* 支持叠加视频特效 +-- 扫光|泛光开幕|下降开幕|书单模式|溶图模式|横版视频三屏显示|好物|影视 +* 支持叠加随机转场、随机缩放、随机边框、镜像反转 +* 支持算法自动配乐,通过计算原视频的节奏并自动匹配类似节奏的音乐 +* 支持匹配指定音乐 +* 支持AI改写原文案 +* 支持重新配音 +* 支持改变字幕样式 + +### 去文字和视频擦除inpainting相关,[查看去文字介绍](https://github.com/JollyToday/GhostCut_Remove_Video_Text/blob/main/README_cn.md "鬼手剪辑视频去文字介绍") +* 支持自动去文字、先标记区域仅自动去文字、标记区域后全部去除、去文字后调整保护或擦除区域重新合成 +* 支持去除移动文字/移动文字水印 +* 支持自动检测视频主体和上下边缘,对视频主体之外的背景重新填充 + +### 视频语音翻译相关 +* 支持ASR提取视频语音并翻译 +* ASR提取视频声音时人声和背景声分离,仅翻译人声 +* 支持翻译后视频静音、保留背景声音、算法配乐或指定音乐匹配 +* 支持仅生成翻译字幕(不带TTS合成) +* 支持翻译字幕并带TTS语音合成(合成时自动计算字幕、画面和声音的位置进行匹配) + +### 视频文字翻译相关 +* 支持OCR提取视频文字并翻译 +* OCR提取视频文字时,支持文字位置、样式提取 +* 即将支持对翻译后的文字TTS合成 + +### 图片翻译相关 [查看图片翻译介绍](https://github.com/JollyToday/AI_Image_Translator_Translate_Images "鬼手剪辑图片翻译介绍") +* 擦除干净 +* 排版整齐 +* 翻译准确 +* 图片清晰 +* 保留原商品文字 + +## 5.技术细节 +语音:ASR和TTS综合使用自研+讯飞、阿里云、Google、微软和火山引擎等; +翻译:综合使用讯飞、deepl、chatgpt翻译等; + +## 6.翻译支持语言 +智能去文字:同时去除中英文,单独去除中文、英文、日语、韩语、阿拉伯语; +视频文字翻译:源语言:中文或者英文;目标语言:中文/英语/日语/印尼语/葡萄牙语/法语/西班牙语/印地语/阿拉伯语/越南语/泰语/德语/俄语/土耳其语/意大利语/菲律宾/马来西亚/高棉语 +视频语音翻译:源语言:中文/英语/日语/韩语/西班牙语/意大利语/俄语/法语/葡萄牙语/越南语/泰语/等,目标语言:中文/英语/日语/印尼语/葡萄牙语/法语/西班牙语/印地语/阿拉伯语/越南语/泰语/德语/俄语/土耳其语/意大利语/越南语 +图片翻译:支持100多种语言的擦除与翻译 + +## 7.API接口支持 +* 1.提供了上述所有能力的输出,包括视频去重剪辑、自动去文字、视频擦除、视频字幕翻译、视频语音翻译(含配音)等接口,多个能力可以叠加一起选择; +* 2.去文字支持以下abcd4种模式,可自定义保护区域或者指定删除区域: + +> a.自动去文字 + +> b.先标记指定区域,然后再指定区域内自动去文字 + +> c.先标记区域,然后把标记区域的内容**全部去除** + +> d.去文字后,后续再对指定区域调整 + +* 3.视频翻译可与多个剪辑能力一起叠加使用: +一键完成:视频去重+视频去文字+视频翻译+视频配乐等操作(含翻译后的配音) +* 4.API接口文档,请访问以下 +[飞书接口文档](https://jollytoday.feishu.cn/docx/T971dwGEko0Q6PxN24DcWQOKnQf "鬼手剪辑接口文档") + +## 8.联系我们 +* 微信:360254 ,请备注github +* 邮箱:niumo#izhaoli.com(#换成@) diff --git a/appkits/qpyapp/src/revisited/__init__.py b/appkits/qpyapp/src/revisited/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/src/revisited/r_code_structure/__init__.py b/appkits/qpyapp/src/revisited/r_code_structure/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/src/revisited/r_code_structure/service_caller.py b/appkits/qpyapp/src/revisited/r_code_structure/service_caller.py new file mode 100644 index 0000000..e18ece2 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_code_structure/service_caller.py @@ -0,0 +1,11 @@ +#!/usr/bin/env python +# -*- coding:utf-8 -*- +from revisited.r_code_structure import services + + +def caller_invoke(): + services.method_1() + services.method_2() + + +caller_invoke() diff --git a/appkits/qpyapp/src/revisited/r_code_structure/services/__init__.py b/appkits/qpyapp/src/revisited/r_code_structure/services/__init__.py new file mode 100644 index 0000000..f32270d --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_code_structure/services/__init__.py @@ -0,0 +1,4 @@ +#!/usr/bin/env python +# -*- coding:utf-8 -*- + +from .util_lib import * diff --git a/appkits/qpyapp/src/revisited/r_code_structure/services/util_lib.py b/appkits/qpyapp/src/revisited/r_code_structure/services/util_lib.py new file mode 100644 index 0000000..ae65c43 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_code_structure/services/util_lib.py @@ -0,0 +1,32 @@ +#!/usr/bin/env python +# -*- coding:utf-8 -*- + +__all__ = [ + "method_1", + "method_2", + "all_templates" +] + +from typing import List + +all_templates = """ + __all__ = [ + %s + ] +""" + + +def method_1(): + print("method_1") + + +def method_2(): + print("method_2") + + +def all_templates(methods: List) -> str: + return ",".join(["%s".format(method) for method in methods]) + + +if __name__ == '__main__': + print(dir()) diff --git a/appkits/qpyapp/src/revisited/r_exceptions/__init__.py b/appkits/qpyapp/src/revisited/r_exceptions/__init__.py new file mode 100644 index 0000000..f1c5739 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_exceptions/__init__.py @@ -0,0 +1,5 @@ +from .base import CustomException + +__all__ = [ + "CustomException", +] diff --git a/appkits/qpyapp/src/revisited/r_exceptions/base.py b/appkits/qpyapp/src/revisited/r_exceptions/base.py new file mode 100644 index 0000000..8567ce6 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_exceptions/base.py @@ -0,0 +1,8 @@ +class CustomException(Exception): + code = 400 + error_code = "BAD_GATEWAY" + message = "BAD GATEWAY" + + def __init__(self, message=None): + if message: + self.message = message diff --git a/appkits/qpyapp/src/revisited/r_framework/__init__.py b/appkits/qpyapp/src/revisited/r_framework/__init__.py new file mode 100644 index 0000000..24bbaea --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_framework/__init__.py @@ -0,0 +1 @@ +## https://raw.githubusercontent.com/AliRn76/panther/master/docs/docs/images/diagram.png diff --git a/appkits/qpyapp/src/revisited/r_framework/panther_async_api.py b/appkits/qpyapp/src/revisited/r_framework/panther_async_api.py new file mode 100644 index 0000000..0299605 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_framework/panther_async_api.py @@ -0,0 +1,63 @@ + +from datetime import datetime, timedelta + +from panther import status, Panther +from panther.app import GenericAPI +from panther.response import Response + + +class FirstAPI(GenericAPI): + # Cache Response For 10 Seconds + cache = True + cache_exp_time = timedelta(seconds=10) + + def get(self): + date_time = datetime.now().isoformat() + data = {'detail': f'Hello World | {date_time}'} + return Response(data=data, status_code=status.HTTP_202_ACCEPTED) + + +url_routing = {'': FirstAPI} +app = Panther(__name__, configs=__name__, urls=url_routing) + + + +from panther import Panther +from panther.app import GenericAPI +from panther.response import HTMLResponse +from panther.websocket import GenericWebsocket + + +class FirstWebsocket(GenericWebsocket): + async def connect(self, **kwargs): + await self.accept() + + async def receive(self, data: str | bytes): + await self.send(data) + + +class MainPage(GenericAPI): + def get(self): + template = """ + + +
    + + """ + return HTMLResponse(template) + +url_routing = { + '': MainPage, + 'ws': FirstWebsocket, +} +app = Panther(__name__, configs=__name__, urls=url_routing) diff --git a/appkits/qpyapp/src/revisited/r_logs/Info.py b/appkits/qpyapp/src/revisited/r_logs/Info.py new file mode 100644 index 0000000..ff2334a --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_logs/Info.py @@ -0,0 +1,99 @@ +#!/usr/bin/python3.7 +# -*- coding: utf-8 -*- +# @Author : Lanbin +# @Software: Vscode +# @Time : 2023-1-13 14:18 + +import os + +class ProgramInfo: + # Program Version + version = "v1.0.0-alphav1.2.1" + author = "Lanbin" + using_libs = ["os", "sys"] + models_path = r"./models/" + registered_modules = ["print", "downlib", "dellib", "scan", "models", "shell", "alias", "bash", "*"] + debug_mode = True + ssr_path = r"./ssr/" + basedir = os.path.abspath(os.path.dirname(os.path.dirname(__file__))).replace("\\", "/") + +class SSR_Reader: + # Shell System Resource Reader + # 用来读取IceShell的配置文件和调用的系统资源信息 + # 主要是配置 + + # Init 函数,检查ProgramInfo中对应的配置文件是否存在,如果不存在则创建 + # 地址为ProgramInfo.ssr_path + def __init__(self): + # 检查配置文件夹是否存在 + if not os.path.exists(ProgramInfo.ssr_path): + os.mkdir(ProgramInfo.ssr_path) + # 检查配置文件是否存在 + if not os.path.exists(ProgramInfo.ssr_path + "config.ssr"): + with open(ProgramInfo.ssr_path + "config.ssr", "w") as f: + # 写入默认配置(如现在ProgramInfo中的配置) + # 写入的内容要用双引号括起来,这样读取时可以直接eval + f.write("version=\"" + ProgramInfo.version + "\"\n") + f.write("author=\"" + ProgramInfo.author + "\"\n") + f.write("using_libs=" + str(ProgramInfo.using_libs) + "\n") + f.write("models_path=\"" + ProgramInfo.models_path + "\"\n") + f.write("registered_modules=" + str(ProgramInfo.registered_modules) + "\n") + f.write("debug_mode=" + str(ProgramInfo.debug_mode) + "\n") + f.write("ssr_path=\"" + ProgramInfo.ssr_path + "\"\n") + + # 读取配置文件 + self.config = self.paraphraser(ProgramInfo.ssr_path + "config.ssr") + # 更新配置 + # self.update_config() + + + # 解码器:将配置文件中的格式转化成字典 + # 格式示例(都是合法的): + # key=value + # key = value + # 请注意,“#”是注释符号,不会被解析,一般独占一行的开头 + # 请注意,如果value中有“=”号,那么value中的“=”号不会被解析为=号而是作为普通字符 + + def paraphraser(self, config_file: str = ProgramInfo.ssr_path + "config.ssr"): + # 返回值:配置字典 + # 读取文件 + with open(config_file, "r") as f: + config = f.read() + # 解析文件 + config = config.split("\n") + config_dict = {} + for line in config: + if line != "": + if line[0] != "#": + line = line.split("=") + # 去除空格 + line[0] = line[0].strip() + line[1] = line[1].strip() + # 添加到字典 + config_dict[line[0]] = eval(line[1]) + return config_dict + + # 写入器:将字典写入配置文件 + def writer(self, config_file: str, config_dict: dict): + # 返回值:Bool 是否成功 + # 捕捉错误 + try: + # 打开文件 + with open(config_file, "w") as f: + # 写入 + for key in config_dict: + f.write(key + "=" + config_dict[key] + "\n") + return True + except: + return False + + +class StartAction: + def __init__(self, path): + self.grub = ProgramInfo.basedir + "/ssr/" + path + def return_action(self): + with open(self.grub, "r") as f: + return f.read() + + + diff --git a/appkits/qpyapp/src/revisited/r_logs/__init__.py b/appkits/qpyapp/src/revisited/r_logs/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/src/revisited/r_logs/color.py b/appkits/qpyapp/src/revisited/r_logs/color.py new file mode 100644 index 0000000..352ff3a --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_logs/color.py @@ -0,0 +1,35 @@ +#!/usr/bin/python3.7 +# -*- coding: utf-8 -*- +# @Author : Cr4y0n +# @Software: PyCharm +# @Time : 2020/8/16 8:09 + +""" +RED :报错、错误信息、失败信息 +GREEN :成功、重要发现 +YELLOW :警告、重要提示 +BLUE :保留 +PURPLE :保留 +CYAN :次要提示 +""" + + +class Colors: + RED = "\033[91m" + GREEN = "\033[32m" + YELLOW = "\033[93m" + BLUE = "\033[94m" + PURPLE = "\033[95m" + CYAN = "\033[96m" + END = "\033[0m" + BOLD = "\033[1m" + UNDERLINE = "\033[4m" + + @staticmethod + def color_test_print(): + print(Colors.RED + "RED" + Colors.END) + print(Colors.GREEN + "GREEN" + Colors.END) + print(Colors.YELLOW + "YELLOW" + Colors.END) + print(Colors.BLUE + "BLUE" + Colors.END) + print(Colors.PURPLE + "PURPLE" + Colors.END) + print(Colors.CYAN + "CYAN" + Colors.END) diff --git a/appkits/qpyapp/src/revisited/r_logs/error_print.py b/appkits/qpyapp/src/revisited/r_logs/error_print.py new file mode 100644 index 0000000..96d0703 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_logs/error_print.py @@ -0,0 +1,27 @@ +from spells.logs.iprint import iPrintLog + + +class Error: + error_list = { + 10000: { + "typer": "error", + "model": "models", + "title": "Invalid or Unregisted model(s).", + "solve": "" + }, + 20001: { + "typer": "error", + "model": "Dellib", + "title": "Deleting error!", + "solve": "Please check pip\'s environment" + }, + } + + def printError(code: int): + err = Error.error_list[code] + model = err["model"] + title = err["title"] + solve = err["solve"] + typer = err["typer"] + iPrintLog(title, modelName=model, typer=typer) + if solve: iPrintLog(solve, modelName=model, typer="info") diff --git a/appkits/qpyapp/src/revisited/r_logs/iprint.py b/appkits/qpyapp/src/revisited/r_logs/iprint.py new file mode 100644 index 0000000..c4fe970 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_logs/iprint.py @@ -0,0 +1,54 @@ +#!/usr/bin/python3.7 +# -*- coding: utf-8 -*- +# @Author : Lanbin +# @Software: Vscode +# @Time : 2023-1-13 14:45 +from spells.logs.color import Colors + + +def iPrint_Error(text: str): + return Colors.RED + text + Colors.END + + +def iPrint_Success(text: str): + return Colors.GREEN + text + Colors.END + + +def iPrint_Warning(text: str): + return Colors.YELLOW + text + Colors.END + + +def iPrint_Notice(text: str): + return Colors.CYAN + text + Colors.END + + +def iPrint_Info(text: str): + return Colors.BLUE + text + Colors.END + + +def iPrint_Bold(text: str): + return Colors.BOLD + text + Colors.END + + +def iPrintLog(text: str, processName="IShell", modelName="Main", typer: str = "info"): + print(iprint(f"[!][{typer.upper()}][{modelName}] {text}", typer)) + + +def iPrintLogNative(text: str, processName="IShell", modelName="Main", typer: str = "info"): + print(iprint(f"[!][{typer.upper()}][{modelName}] {text}", typer), end="") + + +def iprint(text: str, typer: str, bold: bool = False): + res = text + if typer == "error": + res = iPrint_Error(res) + elif typer == "success": + res = iPrint_Success(res) + elif typer == "warning": + res = iPrint_Warning(res) + elif typer == "notice": + res = iPrint_Notice(res) + elif typer == "info": + res = iPrint_Info(res) + if bold: res = iPrint_Bold(res) + return res diff --git a/appkits/qpyapp/src/revisited/r_logs/rich_ext.py b/appkits/qpyapp/src/revisited/r_logs/rich_ext.py new file mode 100644 index 0000000..09d0ef7 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_logs/rich_ext.py @@ -0,0 +1,62 @@ +from rich.console import Console +from rich.table import Table + +console = Console() + + +class TablePrinter: + + def print_response(self, all_responses): + console.print("\n[bold green]Responses[/bold green]!", "✈") + table = Table(show_header=True, header_style="bold blue") + table.add_column("id #", style="dim", width=6) + table.add_column("Time Aquired", min_width=20) + table.add_column("Most Recent", min_width=12, justify="right") + + limit = 10 + for response in all_responses[::-1][:limit]: + c = "green" if response.id == all_responses[-1].id else "white" + is_most_recent = '✅' if response.id == all_responses[-1].id else '❌' + table.add_row(str(response.id), f'[{c}]{response.time_created}[/{c}]', is_most_recent) + console.print(table) + + def print_detailed(self, all_flights): + console.print("\n[bold green]DetailedFlights[/bold green]!", "✈") + table = Table(show_header=True, header_style="bold blue") + table.add_column("id", style="dim", width=6) + table.add_column("response_id", width=12) + table.add_column("identification", min_width=6) + table.add_column("airline_name", min_width=20) + table.add_column("airplane_code", min_width=6, justify="right") + + limit = 10 + for flight in all_flights[::-1][:limit]: + c = "white" + table.add_row(f'[{c}]{flight.id}[/{c}]', f'[green]{flight.response_id}[/green]', + f'[{c}]{flight.identification}[/{c}]', f'[{c}]{flight.airline_name}[/{c}]', + f'[{c}]{flight.airplane_code}[/{c}]') + console.print(table) + + def print_brief(self, all_flights): + console.print("\n[bold green]BriefFlights[/bold green]!", "✈") + table = Table(show_header=True, header_style="bold blue") + table.add_column("id", style="dim", width=6) + table.add_column("identification", width=10) + table.add_column("response_id", width=12) + table.add_column("registration", min_width=6) + table.add_column("lat", min_width=6) + table.add_column("lon", min_width=6) + table.add_column("origin", min_width=10) + table.add_column("destination", min_width=10) + table.add_column("speed", min_width=10) + table.add_column("vertical speed", min_width=6, justify="right") + + limit = 10 + for flight in all_flights[::-1][:limit]: + c = "white" + table.add_row(f'[{c}]{flight.id}[/{c}]', f'[{c}]{flight.flight_id}[/{c}]', + f'[green]{flight.response_id}[/green]', f'[{c}]{flight.registration}[/{c}]', + f'[{c}]{flight.lat}[/{c}]', f'[{c}]{flight.lon}[/{c}]', f'[{c}]{flight.origin}[/{c}]', + f'[{c}]{flight.destination}[/{c}]', f'[{c}]{flight.speed}[/{c}]', + f'[{c}]{flight.vertical_speed}[/{c}]') + console.print(table) diff --git a/appkits/qpyapp/src/revisited/r_pandas/__init__.py b/appkits/qpyapp/src/revisited/r_pandas/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/src/revisited/r_pandas/basic.py b/appkits/qpyapp/src/revisited/r_pandas/basic.py new file mode 100644 index 0000000..60cb70c --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_pandas/basic.py @@ -0,0 +1,35 @@ +import pandas as pd + +df_cr = pd.DataFrame({ + "Name": ["Braund, Mr. Owen Harris", + "Allen, Mr. William Henry", + "Bonnell, Miss. Elizabeth", ], + "Age": [22, 35, 58], + "Sex": ["male", "male", "female"], +}) + + +def dataframe_demo(): + print("go through dataframe") + ## DataFrame Col/Row + + print(df_cr) + ## let's how in excel or csv + df_cr.to_excel("user.xlsx") + df_cr.to_csv("user.csv") + + +def dataframe_series_feature_demo(): + print(df_cr['Age']) + ages = pd.Series([22, 35, 58], name="Age") + print(ages) + + ## series features + print(df_cr['Age'].max()) + print(df_cr['Age'].min()) + print(df_cr['Age'].mean()) + print(df_cr.describe()) + + +dataframe_demo() +dataframe_series_feature_demo() diff --git a/appkits/qpyapp/src/revisited/r_pandas/user.csv b/appkits/qpyapp/src/revisited/r_pandas/user.csv new file mode 100644 index 0000000..bedd2a1 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_pandas/user.csv @@ -0,0 +1,4 @@ +,Name,Age,Sex +0,"Braund, Mr. Owen Harris",22,male +1,"Allen, Mr. William Henry",35,male +2,"Bonnell, Miss. Elizabeth",58,female diff --git a/appkits/qpyapp/src/revisited/r_pandas/user.xlsx b/appkits/qpyapp/src/revisited/r_pandas/user.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..aed317022e7bc782d3f41ecf4a4b40cba9f885f3 GIT binary patch literal 5077 zcmZ`-1ymG$_g-2`SW=dfMp$y`l929nVF9U?kdjBR1=FBFUahaB|c{Y7(~b6X7m4>v`3@ie|{ac~3ezs}afT`Lz0uQ`q_LHuha- zADV_Ucr{ecn|kh+sFd>;%iXOn+Zabk3?@nZR7gvq}(2J|hEGd#=-D@KXUI zvCqpj6`NzcO17TJWO?uR61wc|%TOVSN)E>2SvmsJbze4_7;<&-6mFcKG5YJn(^wXb^ejUGKf-S7yaqnm;eCq?5~v;=g=Cw zodc&eWErO741vYQrK=npt9=4$|hW=rPD`*C{ESN^=R=_#$YqQ9@a}E*j;LJp8H+6?w;ci9l&eJ)e zC+lw}8=aTx@6|)ZP-b)vezpSSOFefQh) z+F_)9fNhA?ydxig@lSSMnP#w%;sO8}8~^}0njM5ApNAdX3I69S@Qa^q6PWw77)9W2 z`4GbP*om-9B&52E+}+-5rs`GLwie@4AT-v|$0j~3s99Nrv_F}6J3+HPT?!k#c`>M{ zyuKmkbGXB6wGkefbbzqT%vEUzeFP*<;s&m&mL=6B9LlR#hS8|LIp_n^F&%n(~9LjbQx!3l^AV1c$RExtj!?t-L?- z_&C0RO%Sh6WsKD?77HzHRxyJej1#s+irwQ@;un z`>0ARNPhQ5W_YTD4jpDbzCdzL_-R#F32>1-pr+|Y&q8eENwG_s^!*&D>U7vCsS;>8 z!~LuKu;T?@fzt4?VdHFG3X~Ef<<^4GJ7I9=1mb1OerbjjJvrGx5+SZ!cnT{!*<0~I zO%?Jh?t>KtN%2}VMm9_!7FO5rt6J;!Vz7NEE z4o<}11SXh^qMsd%i32t>go~-AZRb9QVxzLm+f`dPLi-=0Y6HW^A&%hZC(2{gYO5sd zZ|-gi3gP9Y8RLHnGjhm&7a=55#2`q3vtP#`v*wE+5KZoC)F}(~!}vKoE!tLm8rmWr z#2bJt*sc2^oikD+$`WAPIvN9;S8|4RT$Bk+PYUsJTHkjY=;<~nPrNfFp55{tWhaxh zzkU9NHLN_%n1_WbPCev<9Bb`mOy3??2mXc)j19lvU=%JIO_n83>%6Idr1o-ht-Ox2 zRtmPdS)St|14f=nJy@?AAcQE?xT$}uPHOtdE~fUQ^0TWJLqCzEtyBViwfAd!;frH4 zuT_=;e*F}MT9AAbmQ#J^tb|xrYJ45Rs9u~)``KnE0<= zJwpotSQi#|T&};yGsO+p^%T~dO zEtyv}38r9OgZNutxPWcp!2%BvJ{T5hOt!3PwmrU{o>At@>~)^v-D+`wa_v$z9OdgJ(Gv;H`Rn*c-hk36S89qd~r~B5nDVF?% zPB5GaE{MC%NX%oIe;dK%eBwgG9;_~_Cs!`Urx;AAI~ik`HvNw z6xeVB@2cbZGbZ3#KZE@cdhmk6sgL9c1-iN1>`#kKlUO90MLgG0Nnbs zfOxyOJ#x2$!#&*jeqVmCB2SYRT+-32>`%&mq`pS5qalt8lkrPwj~I|sfL9xa5$egb zmfguDk{v(Sz9*~p!)}vzHpFX$3uWa1h?&PuVekC-aX^~s;r%DCALfGMoZlFj=xmvq z0Y~j#E2glD;XhgA1}3Ryu+2@I*hWpm23bpl1^t+c0+AubBAxpF<_If8ClqFHLby={ z#zlkiqxE?60t?K1OEqRY|ort-1S}orudBm|XD#zLz40Eu^IfZaLW-d!UBjDW3n&B8PTkL>r(VFV1f4Emn zWsiKtCh4-;^0F?pIp_LSrtm4tkPqt!$G3VwVJjA-^Y>uhJQXDdXM{^Fl6$yEyVv;;Mjxbn}mH! zxbkBx_p(U~sc#HV*@)x$up%C2K)8ko@&lW@NQr;seZgsmhWzC3kXE>iTC&pck@6x^ zQ#)CZBzX84J7E1g-&|;Exj+XN>dV}(2g$lPdluPGVOJ`io%wQfYHuhsng;ksy3^e~ zN*pA5O5Ynr4VKJVV@>1LqV(?gd0lpHXP19x{HLr~+|f~fixyl|ga82XpQ>>8@NtB@ z{}L2)Ml;bf{G=$#C6c1V)U?`;5D`+&D!AoIPPrPm8`IbgF3x&!lo?OA{ywc>+nQX2 zVPN}aQ?!<{9}`i;?MlLlzLUfX_pmv;Ez>d9spZoWwM+RfzSxZ_O9#&7Xs z?>q$3*X;WXv?jQvt7ayS99?j?`)rc)w+x+rjDJuG#i~9qs$jVff4`)*Q}V;lhkIPS zmU?4~77ligi{?xe_dTBkAlnH((5+PI(Z&o4afU6-)uM3sUNDHL6zo8-x_!qVuZNAp zpor(*O(9cu%^8v^+ZJa&O{b}*_*WRrlGfaoyEdVZKI!Fp$yOW;Esnn8RU8r@4b@c* zPDXGiu!EDH3oDu&nl$*+ zBa6)^D_FOVC$A@A6|Aad(HR%}Q%~Zt7Do1|Y7BG#LB_j{hvWkm3gbM;eLjZRK4O}r zn_MWf(oN@4@`Ecn9q9lU`J%*;M3u~>GGXTZdZs+i<+(zSI62RdH2Sd@TZO`- z1#WrH{IL``PZz;mwnE6LZ>y)VClU2*#zqv6u`3a{#!5^GTKlj*fcxt>@ZoN2#EGu2 zk9NW2&#=kslP)E?fvyEz%jD>~Mwd0osaj|IWwWoxt*U#HmGwbiyv=@DG~zT zr@}tNFv=yFBEyMR%xo^7E_fVANaG_dMK;S|FS{+4Umf%I7K&8Q-ekNML#3MSh5cZ> zeAyV7K{#SW_TG%OLWK!fMwXZ6Va+ESsyFWW_ajXwGYh0=__XC*g3Bc|9?RRSs6%e< z4U7Z{o*WVhE3T=ryo7-eqia`Qi>kvp%uuQ{#op0e`hp<(?&G-8&2nqzDqq;f*<(8c zg6Ff=Y|kEBRb2^(_L6)L1pKpkLG`r7{OFO+f=-m=PxJm7=~gZ-kAAgptnRQ{yDaJD zOIJn%^69RCoE{nB^POT9TYNkvzKf6kAP>fZ(`= zVTms2EKpPHR;6sjL1y~Wb_**5mT#l%%k&LP_dqz&ArYoZks#6crc0Lxia96@pNjg9tS0Az}J;Lp?>Hoe9$cI%$^A4`?YdcVvEE|X8HjaF9AWh(`mz#pvWbM4l z&5*iM@bH|o_ZLIG7uzG@Z#3I@t7vmajS{q~(PmdI(yF)IuaTTvBuEp@mF#MAd%5?v zlf6+ug|=4Jx(~JJiDKEn3VzuFkt@RE>Y6Bk$N41Cpc6!5{rRheDY!U$z@0rF82Grt z-OYYgQE8&47W%InogEy;#tVkNE~K>}G;_tU)&><{CEA*d%s{lJ)n1cPKGiHi%r_#l zQcC7u04p{!kEW97b^R$Y4e_+B=$R2^RZQZlmuc0^Y9A9}q$mArPjp(z5$`ztlD5Vn zRcGvkcY3*xMqvhoBT@8eB^hLm`L+`4w(Zuihkzz~7XLG3 z!%i+%@GsyI8i-E)?+tq$e7(#60_&kCDjNJhdj5Kx>y7kR f98t6#_b+XwqmF}ia{vH*^e%&*-yy#&FTj5Q@fFm2 literal 0 HcmV?d00001 diff --git a/appkits/qpyapp/src/revisited/r_pdf/__init__.py b/appkits/qpyapp/src/revisited/r_pdf/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/src/revisited/r_pdf/r_parser.py b/appkits/qpyapp/src/revisited/r_pdf/r_parser.py new file mode 100644 index 0000000..c948c8f --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_pdf/r_parser.py @@ -0,0 +1,280 @@ +import os +import re +from typing import List, Tuple, Optional, Dict +import logging + +logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') +import fitz # PyMuPDF +import shapely.geometry as sg +from shapely.geometry.base import BaseGeometry +from shapely.validation import explain_validity +import concurrent.futures + +# This Default Prompt Using Chinese and could be changed to other languages. + +DEFAULT_PROMPT = """使用markdown语法,将图片中识别到的文字转换为markdown格式输出。你必须做到: +1. 输出和使用识别到的图片的相同的语言,例如,识别到英语的字段,输出的内容必须是英语。 +2. 不要解释和输出无关的文字,直接输出图片中的内容。例如,严禁输出 “以下是我根据图片内容生成的markdown文本:”这样的例子,而是应该直接输出markdown。 +3. 内容不要包含在```markdown ```中、段落公式使用 $$ $$ 的形式、行内公式使用 $ $ 的形式、忽略掉长直线、忽略掉页码。 +再次强调,不要解释和输出无关的文字,直接输出图片中的内容。 +""" +DEFAULT_RECT_PROMPT = """图片中用红色框和名称(%s)标注出了一些区域。如果区域是表格或者图片,使用 ![]() 的形式插入到输出内容中,否则直接输出文字内容。 +""" +DEFAULT_ROLE_PROMPT = """你是一个PDF文档解析器,使用markdown和latex语法输出图片的内容。 +""" + + +def _is_near(rect1: BaseGeometry, rect2: BaseGeometry, distance: float = 20) -> bool: + """ + Check if two rectangles are near each other if the distance between them is less than the target. + """ + return rect1.buffer(0.1).distance(rect2.buffer(0.1)) < distance + + +def _is_horizontal_near(rect1: BaseGeometry, rect2: BaseGeometry, distance: float = 100) -> bool: + """ + Check if two rectangles are near horizontally if one of them is a horizontal line. + """ + result = False + if abs(rect1.bounds[3] - rect1.bounds[1]) < 0.1 or abs(rect2.bounds[3] - rect2.bounds[1]) < 0.1: + if abs(rect1.bounds[0] - rect2.bounds[0]) < 0.1 and abs(rect1.bounds[2] - rect2.bounds[2]) < 0.1: + result = abs(rect1.bounds[3] - rect2.bounds[3]) < distance + return result + + +def _union_rects(rect1: BaseGeometry, rect2: BaseGeometry) -> BaseGeometry: + """ + Union two rectangles. + """ + return sg.box(*(rect1.union(rect2).bounds)) + + +def _merge_rects(rect_list: List[BaseGeometry], distance: float = 20, horizontal_distance: Optional[float] = None) -> \ + List[BaseGeometry]: + """ + Merge rectangles in the list if the distance between them is less than the target. + """ + merged = True + while merged: + merged = False + new_rect_list = [] + while rect_list: + rect = rect_list.pop(0) + for other_rect in rect_list: + if _is_near(rect, other_rect, distance) or ( + horizontal_distance and _is_horizontal_near(rect, other_rect, horizontal_distance)): + rect = _union_rects(rect, other_rect) + rect_list.remove(other_rect) + merged = True + new_rect_list.append(rect) + rect_list = new_rect_list + return rect_list + + +def _adsorb_rects_to_rects(source_rects: List[BaseGeometry], target_rects: List[BaseGeometry], distance: float = 10) -> \ + Tuple[List[BaseGeometry], List[BaseGeometry]]: + """ + Adsorb a set of rectangles to another set of rectangles. + """ + new_source_rects = [] + for text_area_rect in source_rects: + adsorbed = False + for index, rect in enumerate(target_rects): + if _is_near(text_area_rect, rect, distance): + rect = _union_rects(text_area_rect, rect) + target_rects[index] = rect + adsorbed = True + break + if not adsorbed: + new_source_rects.append(text_area_rect) + return new_source_rects, target_rects + + +def _parse_rects(page: fitz.Page) -> List[Tuple[float, float, float, float]]: + """ + Parse drawings in the page and merge adjacent rectangles. + """ + + # 提取画的内容 + drawings = page.get_drawings() + + # 忽略掉长度小于30的水平直线 + is_short_line = lambda x: abs(x['rect'][3] - x['rect'][1]) < 1 and abs(x['rect'][2] - x['rect'][0]) < 30 + drawings = [drawing for drawing in drawings if not is_short_line(drawing)] + + # 转换为shapely的矩形 + rect_list = [sg.box(*drawing['rect']) for drawing in drawings] + + # 提取图片区域 + images = page.get_image_info() + image_rects = [sg.box(*image['bbox']) for image in images] + + # 合并drawings和images + rect_list += image_rects + + merged_rects = _merge_rects(rect_list, distance=10, horizontal_distance=100) + merged_rects = [rect for rect in merged_rects if explain_validity(rect) == 'Valid Geometry'] + + # 将大文本区域和小文本区域分开处理: 大文本相小合并,小文本靠近合并 + is_large_content = lambda x: (len(x[4]) / max(1, len(x[4].split('\n')))) > 5 + small_text_area_rects = [sg.box(*x[:4]) for x in page.get_text('blocks') if not is_large_content(x)] + large_text_area_rects = [sg.box(*x[:4]) for x in page.get_text('blocks') if is_large_content(x)] + _, merged_rects = _adsorb_rects_to_rects(large_text_area_rects, merged_rects, distance=0.1) # 完全相交 + _, merged_rects = _adsorb_rects_to_rects(small_text_area_rects, merged_rects, distance=5) # 靠近 + + # 再次自身合并 + merged_rects = _merge_rects(merged_rects, distance=10) + + # 过滤比较小的矩形 + merged_rects = [rect for rect in merged_rects if rect.bounds[2] - rect.bounds[0] > 20 and rect.bounds[3] - rect.bounds[1] > 20] + + return [rect.bounds for rect in merged_rects] + + +def _parse_pdf_to_images(pdf_path: str, output_dir: str = './') -> List[Tuple[str, List[str]]]: + """ + Parse PDF to images and save to output_dir. + """ + # 打开PDF文件 + pdf_document = fitz.open(pdf_path) + image_infos = [] + + for page_index, page in enumerate(pdf_document): + logging.info(f'parse page: {page_index}') + rect_images = [] + rects = _parse_rects(page) + for index, rect in enumerate(rects): + fitz_rect = fitz.Rect(rect) + # 保存页面为图片 + pix = page.get_pixmap(clip=fitz_rect, matrix=fitz.Matrix(4, 4)) + name = f'{page_index}_{index}.png' + pix.save(os.path.join(output_dir, name)) + rect_images.append(name) + # # 在页面上绘制红色矩形 + big_fitz_rect = fitz.Rect(fitz_rect.x0 - 1, fitz_rect.y0 - 1, fitz_rect.x1 + 1, fitz_rect.y1 + 1) + # 空心矩形 + page.draw_rect(big_fitz_rect, color=(1, 0, 0), width=1) + # 画矩形区域(实心) + # page.draw_rect(big_fitz_rect, color=(1, 0, 0), fill=(1, 0, 0)) + # 在矩形内的左上角写上矩形的索引name,添加一些偏移量 + text_x = fitz_rect.x0 + 2 + text_y = fitz_rect.y0 + 10 + text_rect = fitz.Rect(text_x, text_y - 9, text_x + 80, text_y + 2) + # 绘制白色背景矩形 + page.draw_rect(text_rect, color=(1, 1, 1), fill=(1, 1, 1)) + # 插入带有白色背景的文字 + page.insert_text((text_x, text_y), name, fontsize=10, color=(1, 0, 0)) + page_image_with_rects = page.get_pixmap(matrix=fitz.Matrix(3, 3)) + page_image = os.path.join(output_dir, f'{page_index}.png') + page_image_with_rects.save(page_image) + image_infos.append((page_image, rect_images)) + + pdf_document.close() + return image_infos + + +def _gpt_parse_images( + image_infos: List[Tuple[str, List[str]]], + prompt_dict: Optional[Dict] = None, + output_dir: str = './', + api_key: Optional[str] = None, + base_url: Optional[str] = None, + model: str = 'gpt-4o', + verbose: bool = False, + gpt_worker: int = 1, + **args +) -> str: + """ + Parse images to markdown content. + """ + from GeneralAgent import Agent + + if isinstance(prompt_dict, dict) and 'prompt' in prompt_dict: + prompt = prompt_dict['prompt'] + logging.info("prompt is provided, using user prompt.") + else: + prompt = DEFAULT_PROMPT + logging.info("prompt is not provided, using default prompt.") + if isinstance(prompt_dict, dict) and 'rect_prompt' in prompt_dict: + rect_prompt = prompt_dict['rect_prompt'] + logging.info("rect_prompt is provided, using user prompt.") + else: + rect_prompt = DEFAULT_RECT_PROMPT + logging.info("rect_prompt is not provided, using default prompt.") + if isinstance(prompt_dict, dict) and 'role_prompt' in prompt_dict: + role_prompt = prompt_dict['role_prompt'] + logging.info("role_prompt is provided, using user prompt.") + else: + role_prompt = DEFAULT_ROLE_PROMPT + logging.info("role_prompt is not provided, using default prompt.") + + def _process_page(index: int, image_info: Tuple[str, List[str]]) -> Tuple[int, str]: + logging.info(f'gpt parse page: {index}') + agent = Agent(role=role_prompt, api_key=api_key, base_url=base_url, disable_python_run=True, model=model, **args) + page_image, rect_images = image_info + local_prompt = prompt + if rect_images: + local_prompt += rect_prompt + ', '.join(rect_images) + content = agent.run([local_prompt, {'image': page_image}], display=verbose) + return index, content + + contents = [None] * len(image_infos) + with concurrent.futures.ThreadPoolExecutor(max_workers=gpt_worker) as executor: + futures = [executor.submit(_process_page, index, image_info) for index, image_info in enumerate(image_infos)] + for future in concurrent.futures.as_completed(futures): + index, content = future.result() + + # 在某些情况下大模型还是会输出 ```markdown ```字符串 + if '```markdown' in content: + content = content.replace('```markdown\n', '') + last_backticks_pos = content.rfind('```') + if last_backticks_pos != -1: + content = content[:last_backticks_pos] + content[last_backticks_pos + 3:] + + contents[index] = content + + output_path = os.path.join(output_dir, 'output.md') + with open(output_path, 'w', encoding='utf-8') as f: + f.write('\n\n'.join(contents)) + + return '\n\n'.join(contents) + + +def parse_pdf( + pdf_path: str, + output_dir: str = './', + prompt: Optional[Dict] = None, + api_key: Optional[str] = None, + base_url: Optional[str] = None, + model: str = 'gpt-4o', + verbose: bool = False, + gpt_worker: int = 1, + **args +) -> Tuple[str, List[str]]: + """ + Parse a PDF file to a markdown file. + """ + if not os.path.exists(output_dir): + os.makedirs(output_dir) + + image_infos = _parse_pdf_to_images(pdf_path, output_dir=output_dir) + content = _gpt_parse_images( + image_infos=image_infos, + output_dir=output_dir, + prompt_dict=prompt, + api_key=api_key, + base_url=base_url, + model=model, + verbose=verbose, + gpt_worker=gpt_worker, + **args + ) + + all_rect_images = [] + # remove all rect images + if not verbose: + for page_image, rect_images in image_infos: + if os.path.exists(page_image): + os.remove(page_image) + all_rect_images.extend(rect_images) + return content, all_rect_images diff --git a/appkits/qpyapp/src/revisited/r_qa/__init__.py b/appkits/qpyapp/src/revisited/r_qa/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/src/revisited/r_qa/differ_tools.py b/appkits/qpyapp/src/revisited/r_qa/differ_tools.py new file mode 100644 index 0000000..e062e22 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_qa/differ_tools.py @@ -0,0 +1 @@ +# graphtage diff --git a/appkits/qpyapp/src/revisited/r_usecases/__init__.py b/appkits/qpyapp/src/revisited/r_usecases/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/src/revisited/r_usecases/awesome/__init__.py b/appkits/qpyapp/src/revisited/r_usecases/awesome/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/src/revisited/r_usecases/awesome/awesome_generator.py b/appkits/qpyapp/src/revisited/r_usecases/awesome/awesome_generator.py new file mode 100644 index 0000000..e467639 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/awesome/awesome_generator.py @@ -0,0 +1,12 @@ +class AwesomeGenerator: + def __init__(self, keyword, description): + self.keyword = keyword + self.description = description + + +keyword = "Auto-Awesome" +description = "Automatic Awesome Generator By AI Search" + + +def search_and_save(): + generator = AwesomeGenerator(keyword=keyword, description=description, batch=10) diff --git a/appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/__init__.py b/appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/__init__.py new file mode 100644 index 0000000..ced4313 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/__init__.py @@ -0,0 +1 @@ +from .github_extractor import * diff --git a/appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/github_extractor.py b/appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/github_extractor.py new file mode 100644 index 0000000..ec342cc --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/github_extractor.py @@ -0,0 +1,52 @@ +import requests +from bs4 import BeautifulSoup + + +def fetch_by_github_api(url: str): + response = requests.get(url) + if response.status_code == 200: + raw_data = response.json() + results = [] + for item in raw_data["items"]: + repo_info = { + "link": item["html_url"], + "description": item["description"], + "stars": item["stargazers_count"], + } + results.append(repo_info) + results = sorted(results, key=lambda x: x["stars"], reverse=True) + return results + else: + print(f"Failed to get data, status code: {response.status_code}") + return [] + + +def get_github_collection_results( + collection_id: str, count: int = 5, base_url="https://github.com" +) -> list[dict]: + url = f"{base_url}/collections/{collection_id}" + response = requests.get(url) + if response.status_code == 200: + soup = BeautifulSoup(response.text, "html.parser") + results = [] + for article in soup.select("article"): + repo_link = article.select_one("h1.h3 a")["href"] + stars_anchor = article.select_one('a[data-ga-click*="stargazers"]') + if stars_anchor: + stars_content = "".join(filter(str.isdigit, stars_anchor.get_text())) + stars = int(stars_content.strip()) if stars_content else 0 + else: + stars = 0 + description = article.select_one("div.color-fg-muted").text.strip() + results.append( + { + "link": base_url + repo_link, + "stars": stars, + "description": description, + } + ) + results = sorted(results, key=lambda x: x["stars"], reverse=True) + return results[:count] + else: + print(f"Failed to get data, status code: {response.status_code}") + return [] diff --git a/appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/google_extractor.py b/appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/google_extractor.py new file mode 100644 index 0000000..72aefe3 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/google_extractor.py @@ -0,0 +1,121 @@ +import os + +import requests + +from .models import GoogleSearchMode + + +def search_google( + keyword: str, + mode: GoogleSearchMode = GoogleSearchMode.ARTICLES, + max_results: int = 10, +): + global websites_to_search + global terms_to_search + api_key = os.environ["GOOGLE_CLOUD_API_KEY"] + cse_id = os.environ["CUSTOM_SEARCH_ENGINE_ID"] + + # Create a combined query with the "site:" search operator + base_query = f"{keyword}" + base_query += " " + terms_to_search[mode] + site_specific_queries = " OR ".join( + [f"site:{site}" for site in websites_to_search[mode]] + ) + query = f"{base_query} {site_specific_queries}" + + # Endpoint for Google Custom Search + url = "https://www.googleapis.com/customsearch/v1" + + all_items = [] + pages = -(-max_results // 10) # This is a ceiling division trick + + for page in range(pages): + start_index = page * 10 + 1 + + # Parameters for the search query + params = { + "key": api_key, + "cx": cse_id, + "q": query, + "num": 10 + if (max_results - len(all_items)) > 10 + else (max_results - len(all_items)), + # fetch remaining if less than 10 + "start": start_index, + } + + # Make the API request + response = requests.get(url, params=params) + + # Check if the request was successful + if response.status_code == 200: + results = response.json() + + # Extract the desired data + for item in results.get("items", []): + page_map = item.get("pagemap", {}) + og_description = page_map.get("metatags", [{}])[0].get( + "og:description", "" + ) + all_items.append( + { + "title": item["title"], + "link": item["link"], + "description": item["snippet"] + " " + og_description, + } + ) + else: + print(f"Error {response.status_code}: {response.text}") + break + + if len(all_items) >= max_results: + break + + return all_items + + +def search_google_for_articles(keyword: str, max_results: int = 10): + return search_google(keyword, GoogleSearchMode.ARTICLES, max_results) + + +def search_google_for_courses(keyword: str, max_results: int = 10): + return search_google(keyword, GoogleSearchMode.COURSES, max_results) + + +def search_google_for_books(keyword: str, max_results: int = 10): + return search_google(keyword, GoogleSearchMode.BOOKS, max_results) + + +def search_google_for_research(keyword: str, max_results: int = 10): + return search_google(keyword, GoogleSearchMode.RESEARCH, max_results) + + +def search_google_for_podcasts(keyword: str, max_results: int = 10): + return search_google(keyword, GoogleSearchMode.PODCASTS, max_results) + + +def search_google_for_videos(keyword: str, max_results: int = 10): + return search_google(keyword, GoogleSearchMode.VIDEOS, max_results) + + +def search_google_for_tools_software(keyword: str, max_results: int = 10): + return search_google(keyword, GoogleSearchMode.TOOLS_SOFTWARE, max_results) + + +def search_google_for_conferences_or_events(keyword: str, max_results: int = 10): + return search_google(keyword, GoogleSearchMode.CONFERENCES_EVENTS, max_results) + + +def search_google_for_slides_or_presentations(keyword: str, max_results: int = 10): + return search_google(keyword, GoogleSearchMode.SLIDES_PRESENTATIONS, max_results) + + +if __name__ == "__main__": + search_query = "Auto-GPT" + articles = search_google(search_query) + # Print the results + for article in articles: + print(article["title"]) + print(article["link"]) + print(article["description"]) + print("-" * 80) diff --git a/appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/models.py b/appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/models.py new file mode 100644 index 0000000..4dd55c0 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/awesome/extractor/models.py @@ -0,0 +1,178 @@ +from enum import Enum + +from pydantic import BaseModel + + +class GithubSearchModel(BaseModel): + keyword_search_url: str = "https://api.github.com/search/repositories?q=" + topic_search_url: str = ( + "https://api.github.com/search/repositories?q=topic:{topic}+is:featured" + ) + github_base_url: str = "https://github.com" + + def keyword_url(self, keyword: str) -> str: + return self.keyword_search_url + keyword + + def topic_url(self, topic: str) -> str: + return self.topic_search_url.format(topic=topic) + + +class GoogleSearchMode(Enum): + ARTICLES = "articles" + COURSES = "courses" + BOOKS = "books" + RESEARCH = "research" + PODCASTS = "podcasts" + VIDEOS = "videos" + TOOLS_SOFTWARE = "tools_software" + CONFERENCES_EVENTS = "conferences_events" + SLIDES_PRESENTATIONS = "slides_presentations" + + +websites_to_search_articles = [ + "medium.com", # Medium + "dev.to", # The DEV Community + "hackernoon.com", # Hacker Noon + "smashingmagazine.com", # Smashing Magazine + "alistapart.com", # A List Apart + "dzone.com", # DZone + "infoq.com", # InfoQ + "tutsplus.com", # Tuts+ (from Envato Tuts+) + "css-tricks.com", # CSS-Tricks + "sitepoint.com", # SitePoint + "tympanus.net/codrops", # Codrops + "realpython.com", # Real Python + "freecodecamp.org/news", # Freecodecamp News + "towardsdatascience.com", # Towards Data Science (Medium's Data Science community) + "arxiv.org", # arXiv (Research Papers in AI, ML, CS, etc.) + "ai.googleblog.com", # Google AI Blog + "blogs.nvidia.com", # NVIDIA Blog (AI, Deep Learning) + "distill.pub", # Distill (ML Visualization) + "deepmind.com/blog", # DeepMind Blog + "openai.com/blog", # OpenAI Blog + "neuralink.com/blog", # Neuralink Blog + "research.fb.com", # Facebook AI Research Blog + "research.google", # Google Research Publications + "blogs.microsoft.com/ai", # Microsoft AI Blog + "blog.tensorflow.org", # TensorFlow Blog + "pytorch.org/blog", # PyTorch Blog + "blog.ycombinator.com", # Y Combinator Blog (Startups, Tech News) + "thenewstack.io", # The New Stack (Cloud, Containers, etc.) + "overleaf.com/learn", # Overleaf (LaTeX, Research Writing) + "geeksforgeeks.org", # GeeksforGeeks (CS, Algorithms, Tutorials) + "stackoverflow.blog", # Stack Overflow Blog + "martinfowler.com", # Martin Fowler's Blog (Software Design, Patterns) + "acm.org/technews", # ACM TechNews + "spectrum.ieee.org/computing", # IEEE Spectrum's computing section +] + +websites_to_search_courses = [ + "udemy.com", + "coursera.org", + "edx.org", + "pluralsight.com", + "khanacademy.org", + "lynda.com", + "udacity.com", + "codecademy.com", + "futurelearn.com", + "skillshare.com" "linkedin.com/learning", +] + +websites_to_search_books = [ + "amazon.com", + "goodreads.com", + "barnesandnoble.com", + "books.google.com", + "bookdepository.com", + "powells.com", + "abebooks.com", + "springer.com", + "oreilly.com", + "packtpub.com", +] + +websites_to_search_research = [ + "scholar.google.com", + "semanticscholar.org", + "jstor.org", + "springer.com", + "ieee.org", + "sciencedirect.com", + "researchgate.net", + "pubmed.ncbi.nlm.nih.gov", + "arxiv.org", + "ncbi.nlm.nih.gov", +] + +websites_to_search_podcasts = [ + "anchor.fm", + "stitcher.com", + "podbean.com", + "spotify.com", + "itunes.apple.com", + "podbay.fm", + "podtail.com", + "podcasts.apple.com", + "player.fm", + "overcast.fm", +] + +websites_to_search_videos = [ + "youtube.com", + "vimeo.com", + "twitch.tv", + "ted.com", + "dailymotion.com", +] + +websites_to_search_tools_software = [ + "alternativeto.net", + "producthunt.com", + "capterra.com", + "sourceforge.net", + "softpedia.com", + "g2.com", +] + +websites_to_search_conferences_or_events = [ + "eventbrite.com", + "meetup.com", + "10times.com", + "conferenceseries.com", + "techmeme.com/events", # for tech-related events + "lanyrd.com", +] + +websites_to_search_slides_or_presentations = [ + "slideshare.net", + "speakerdeck.com", + "academia.edu", # Some researchers share their presentations here + "prezi.com", + "slideboom.com", + "authorstream.com", +] + +websites_to_search = { + GoogleSearchMode.ARTICLES: websites_to_search_articles, + GoogleSearchMode.COURSES: websites_to_search_courses, + GoogleSearchMode.BOOKS: websites_to_search_books, + GoogleSearchMode.RESEARCH: websites_to_search_research, + GoogleSearchMode.PODCASTS: websites_to_search_podcasts, + GoogleSearchMode.VIDEOS: websites_to_search_videos, + GoogleSearchMode.TOOLS_SOFTWARE: websites_to_search_tools_software, + GoogleSearchMode.CONFERENCES_EVENTS: websites_to_search_conferences_or_events, + GoogleSearchMode.SLIDES_PRESENTATIONS: websites_to_search_slides_or_presentations, +} + +terms_to_search = { + GoogleSearchMode.ARTICLES: "(article OR blog OR tutorial OR guide OR post)", + GoogleSearchMode.COURSES: "(course OR tutorial OR class OR certification OR training)", + GoogleSearchMode.BOOKS: "(book OR ebook OR textbook OR manual)", + GoogleSearchMode.RESEARCH: "(paper OR article OR publication OR study OR research)", + GoogleSearchMode.PODCASTS: "(podcast OR episode OR show OR series OR audio)", + GoogleSearchMode.VIDEOS: "(video OR lecture OR webinar)", + GoogleSearchMode.TOOLS_SOFTWARE: "(software OR tool OR utility OR app OR platform OR service)", + GoogleSearchMode.CONFERENCES_EVENTS: "(conference OR event OR workshop OR seminar OR symposium OR tech talk)", + GoogleSearchMode.SLIDES_PRESENTATIONS: "(slides OR presentation OR deck OR ppt OR powerpoint OR keynote)", +} diff --git a/appkits/qpyapp/src/revisited/r_usecases/crawler/__init__.py b/appkits/qpyapp/src/revisited/r_usecases/crawler/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/__init__.py b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/all_names.csv b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/all_names.csv new file mode 100644 index 0000000..cb928ad --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/all_names.csv @@ -0,0 +1,27679 @@ +Meconopsis horridula +Barleria integrisepala +Cystacanthus affinis +Dicliptera elegans +Justicia siccanea +Justicia xylopoda +Strobilanthes cyphantha +Strobilanthes kingdonii +Strobilanthes medogensis +Strobilanthes nemorosa +Actinidia grandiflora +Saurauia polyneura +Saurauia rubricalyx +Sinadoxa corydalifolia +Viburnum davidii +Archiatriplex nanpinensis +Baolia bracteata +Corispermum falcatum +Corispermum lepidocarpum +Corispermum lhasaense +Corispermum pseudofalcatum +Salsola chinghaiensis +Allium aciphyllum +Allium changduense +Allium chrysocephalum +Allium cyathophorum +Allium eusperma +Allium forrestii +Allium herderianum +Allium kingdonii +Allium maowenense +Allium nanodes +Allium pevtzovii +Allium rude +Allium siphonanthum +Allium songpanicum +Allium tanguticum +Allium xiangchengense +Allium xichuanense +Allium yuanum +Cotinus nana +Cotinus szechuanensis +Polyalthia chinensis +Acronema alpinum +Acronema astrantiifolium +Acronema brevipedicellatum +Acronema chienii +Acronema chinense +Acronema commutatum +Acronema forrestii +Acronema gracile +Acronema paniculatum +Acronema schneideri +Acronema sichuanense +Acronema xizangense +Acronema yadongense +Angelica apaensis +Angelica balangshanensis +Angelica duclouxii +Angelica kangdingensis +Angelica longipedicellata +Angelica nitida +Angelica paeoniifolia +Angelica pinnatiloba +Angelica scaberula +Angelica songpanensis +Arcuatopterus thalictrioideus +Bupleurum alatum +Bupleurum chaishoui +Bupleurum commelynoideum +Bupleurum condensatum +Bupleurum malconense +Bupleurum petiolulatum +Bupleurum qinghaiense +Bupleurum rockii +Bupleurum wenchuanense +Bupleurum yunnanense +Chaerophyllopsis huai +Chamaesium delavayi +Chamaesium paradoxum +Chamaesium thalictrifolium +Cortiella caespitosa +Cyclorhiza peucedanifolia +Cyclorhiza waltonii +Ferula hexiensis +Ferula kingdon-wardii +Ferula olivacea +Haplosphaera phaea +Harrysmithia heterophylla +Heracleum forrestii +Heracleum nyalamense +Heracleum oreocharis +Heracleum souliei +Heracleum stenopteroides +Heracleum stenopterum +Heracleum subtomentellum +Heracleum wenchuanense +Heracleum wolongense +Heracleum xiaojinense +Heracleum yungningense +Libanotis depressa +Ligusticum capillaceum +Ligusticum delavayi +Ligusticum franchetii +Ligusticum glaucifolium +Ligusticum gyirongense +Ligusticum hispidum +Ligusticum involucratum +Ligusticum likiangense +Ligusticum litangense +Ligusticum littledalei +Ligusticum multivittatum +Ligusticum nematophyllum +Ligusticum pteridophyllum +Ligusticum scapiforme +Ligusticum sikiangense +Nothosmyrnium xizangense +Notopterygium forrestii +Notopterygium pinnatiinvolucellum +Pachypleurum lhasanum +Pachypleurum muliense +Pachypleurum nyalamense +Pachypleurum xizangense +Peucedanum angelicoides +Peucedanum delavayi +Peucedanum franchetii +Peucedanum macilentum +Peucedanum nanum +Peucedanum songpanense +Peucedanum turgeniifolium +Peucedanum violaceum +Physospermopsis alepidioides +Physospermopsis cuneata +Physospermopsis muliensis +Pimpinella caudata +Pimpinella chungdienensis +Pimpinella filipedicellata +Pimpinella kingdon-wardii +Pimpinella rockii +Pimpinella rubescens +Pimpinella silvatica +Pimpinella xizangensis +Pleurospermum aromaticum +Pleurospermum astrantioideum +Pleurospermum bicolor +Pleurospermum calcareum +Pleurospermum decurrens +Pleurospermum foetens +Pleurospermum hedinii +Pleurospermum heracleifolium +Pleurospermum heterosciadium +Pleurospermum linearilobum +Pleurospermum longicarpum +Pleurospermum macrochlaenum +Pleurospermum nanum +Pleurospermum nubigenum +Pleurospermum pulszkyi +Pleurospermum szechenyii +Pleurospermum tsekuense +Pleurospermum wrightianum +Pternopetalum cardiocarpum +Pternopetalum delavayi +Pternopetalum trifoliatum +Sanicula rugulosa +Seseli purpureovaginatum +Seseli squarrulosum +Sinocarum dolichopodum +Sinocarum filicinum +Sinocarum pityophilum +Sinocarum vaginatum +Sinolimprichtia alpina +Sium frigidum +Tongoloa elata +Tongoloa pauciradiata +Tongoloa rockii +Tongoloa rubronervis +Tongoloa taeniophylla +Tongoloa tenuifolia +Trachydium involucellatum +Trachydium simplicifolium +Trachydium tibetanicum +Trachydium trifoliatum +Trachyspermum triradiatum +Biondia hemsleyana +Biondia longipes +Biondia pilosa +Biondia revoluta +Ceropegia muliensis +Ceropegia stenophylla +Ceropegia teniana +Cynanchum anthonyanum +Cynanchum batangense +Cynanchum linearisepalum +Cynanchum lysimachioides +Cynanchum szechuanense +Dregea yunnanensis +Hoya silvatica +Marsdenia medogensis +Marsdenia pulchella +Tylophora nana +Ilex dicarpa +Ilex gracilis +Ilex medogensis +Ilex micropyrena +Ilex miguensis +Ilex rockii +Ilex xizangensis +Arisaema aridum +Arisaema candidissimum +Arisaema ciliatum +Arisaema handelii +Arisaema parvum +Rhaphidophora dulongensis +Aralia apioides +Aralia caesia +Aralia tibetana +Brassaiopsis tibetana +Eleutherococcus baoxinensis +Eleutherococcus lasiogyne +Eleutherococcus verticillatus +Eleutherococcus xizangensis +Hydrocotyle salwinica +Schefflera wardii +Schefflera zhuana +Calamus acanthospathus +Trachycarpus princeps +Aristolochia delavayi +Aristolochia obliqua +Aristolochia zhongdianensis +Asparagus kansuensis +Asparagus munitus +Asparagus myriacanthus +Asparagus przewalskyi +Asparagus sichuanicus +Asparagus tibeticus +Asparagus yanyuanensis +Chlorophytum chinense +Liriope kansuensis +Maianthemum forrestii +Maianthemum gongshanense +Maianthemum lichiangense +Maianthemum szechuanicum +Ophiopogon lushuiensis +Ophiopogon yunnanensis +Polygonatum curvistylum +Polygonatum hirtellum +Ainsliaea foliosa +Ainsliaea macrocephala +Ainsliaea mattfeldiana +Ainsliaea smithii +Ajania adenantha +Ajania brachyantha +Ajania elegantula +Ajania hypoleuca +Ajania nitida +Ajania purpurea +Ajania ramosa +Ajania tripinnatisecta +Ajania truncata +Ajaniopsis penicilliformis +Allardia lasiocarpa +Anaphalis acutifolia +Anaphalis batangensis +Anaphalis bicolor +Anaphalis chlamydophylla +Anaphalis chungtienensis +Anaphalis cinerascens +Anaphalis delavayi +Anaphalis elegans +Anaphalis gracilis +Anaphalis hymenolepis +Anaphalis lactea +Anaphalis larium +Anaphalis latialata +Anaphalis likiangensis +Anaphalis oxyphylla +Anaphalis plicata +Anaphalis porphyrolepis +Anaphalis rhododactyla +Anaphalis souliei +Anaphalis spodiophylla +Anaphalis stenocephala +Anaphalis suffruticosa +Anaphalis szechuanensis +Anaphalis tenuisissima +Anaphalis tibetica +Anaphalis virens +Anaphalis viridis +Artemisia abaensis +Artemisia aksaiensis +Artemisia baimaensis +Artemisia comaiensis +Artemisia conaensis +Artemisia duthreuil-de-rhinsi +Artemisia erlangshanensis +Artemisia fulgens +Artemisia gongshanensis +Artemisia gyangzeensis +Artemisia gyitangensis +Artemisia imponens +Artemisia jilongensis +Artemisia kangmarensis +Artemisia mattfeldii +Artemisia nanschanica +Artemisia nujianensis +Artemisia occidentali-sinensis +Artemisia pamirica +Artemisia pewzowii +Artemisia phyllobotrys +Artemisia prattii +Artemisia przewalskii +Artemisia robusta +Artemisia sinensis +Artemisia smithii +Artemisia speciosa +Artemisia succulentoides +Artemisia tafelii +Artemisia tainingensis +Artemisia tangutica +Artemisia tridactyla +Artemisia viscida +Artemisia viscidissima +Artemisia waltonii +Artemisia xigazeensis +Artemisia yadongensis +Artemisia younghusbandii +Artemisia youngii +Artemisia yunnanensis +Artemisia zayuensis +Artemisia zhongdianensis +Aster argyropholis +Aster batangensis +Aster bietii +Aster bipinnatisectus +Aster brevis +Aster bulleyanus +Aster dolichopodus +Aster fulgidulus +Aster handelii +Aster hersileoides +Aster heterolepis +Aster hololachnus +Aster homochlamydeus +Aster hypoleucus +Aster ionoglossus +Aster jeffreyanus +Aster lavanduliifolius +Aster lingulatus +Aster longipetiolatus +Aster megalanthus +Aster poliothamnus +Aster polius +Aster retusus +Aster setchuenensis +Aster sikuensis +Aster techinensis +Aster tongolensis +Aster trichoneurus +Aster tsarungensis +Aster yunnanensis +Bolocephalus saussureoides +Cancrinia maximowiczii +Carpesium humile +Carpesium lipskyi +Chaetoseris lyriformis +Chaetoseris macrocephala +Chaetoseris pectiniformis +Chaetoseris sichuanensis +Cicerbita roborowskii +Cirsium chrysolepis +Cirsium handelii +Cirsium muliense +Cirsium periacanthaceum +Cirsium subulariforme +Cirsium tibeticum +Cousinia lasiophylla +Cousinia sclerolepis +Cremanthodium angustifolium +Cremanthodium botryocephalum +Cremanthodium brachychaetum +Cremanthodium brunneopilosum +Cremanthodium bulbilliferum +Cremanthodium bupleurifolium +Cremanthodium calcicola +Cremanthodium conaense +Cremanthodium cordatum +Cremanthodium cucullatum +Cremanthodium daochengense +Cremanthodium dissectum +Cremanthodium forrestii +Cremanthodium glandulipilosum +Cremanthodium glaucum +Cremanthodium humile +Cremanthodium laciniatum +Cremanthodium lineare +Cremanthodium lingulatum +Cremanthodium microglossum +Cremanthodium microphyllum +Cremanthodium nervosum +Cremanthodium nobile +Cremanthodium obovatum +Cremanthodium phyllodineum +Cremanthodium potaninii +Cremanthodium prattii +Cremanthodium principis +Cremanthodium puberulum +Cremanthodium rhodocephalum +Cremanthodium sino-oblongatum +Cremanthodium spathulifolium +Cremanthodium stenactinium +Cremanthodium stenoglossum +Cremanthodium suave +Cremanthodium trilobum +Cremanthodium variifolium +Cremanthodium yadongense +Crepis elongata +Diplazoptilon picridifolium +Distephanus forrestii +Dolomiaea berardioidea +Dolomiaea calophylla +Dolomiaea crispo-undulata +Dolomiaea forrestii +Dolomiaea georgii +Dolomiaea lateritia +Dolomiaea platylepis +Dolomiaea souliei +Dolomiaea wardii +Doronicum conaense +Doronicum gansuense +Doronicum stenoglossum +Doronicum thibetanum +Dubyaea amoena +Dubyaea cymiformis +Dubyaea gombalana +Dubyaea muliensis +Dubyaea rubra +Dubyaea tsarongensis +Erigeron kiukiangensis +Erigeron kunshanensis +Erigeron lanuginosus +Erigeron leucoglossus +Erigeron multifolius +Erigeron porphyrolepis +Erigeron purpurascens +Erigeron tenuicaulis +Faberia thibetica +Formania mekongensis +Gerbera connata +Gerbera curvisquama +Gerbera lijiangensis +Gerbera saxatilis +Helichrysum kashgaricum +Heteropappus bowerii +Hippolytia desmantha +Hippolytia glomerata +Hippolytia kennedyi +Hippolytia syncalathiformis +Hippolytia yunnanensis +Ixeridium aculeolatum +Jurinea kaschgarica +Jurinea pamirica +Leontopodium artemisiifolium +Leontopodium calocephalum +Leontopodium franchetii +Leontopodium haplophylloides +Leontopodium melanolepis +Leontopodium micranthum +Leontopodium muscoides +Leontopodium niveum +Leontopodium roseum +Leontopodium souliei +Leontopodium stoechas +Leontopodium stoloniferum +Leontopodium suffruticosum +Leontopodium villosum +Leontopodium wilsonii +Ligularia alatipes +Ligularia atroviolacea +Ligularia brassicoides +Ligularia chalybea +Ligularia changiana +Ligularia confertiflora +Ligularia curvisquama +Ligularia cyathiceps +Ligularia cymbulifera +Ligularia cymosa +Ligularia dictyoneura +Ligularia discoidea +Ligularia eriocaulis +Ligularia euryphylla +Ligularia ghatsukupa +Ligularia kangtingensis +Ligularia konkalingensis +Ligularia lapathifolia +Ligularia latipes +Ligularia liatroides +Ligularia lidjiangensis +Ligularia lingiana +Ligularia longihastata +Ligularia macrodonta +Ligularia melanocephala +Ligularia melanothyrsa +Ligularia microcardia +Ligularia microcephala +Ligularia muliensis +Ligularia myriocephala +Ligularia nyingchiensis +Ligularia odontomanes +Ligularia oligonema +Ligularia paradoxa +Ligularia petiolaris +Ligularia phoenicochaeta +Ligularia pleurocaulis +Ligularia potaninii +Ligularia pterodonta +Ligularia pubifolia +Ligularia purdomii +Ligularia rockiana +Ligularia stenoglossa +Ligularia subspicata +Ligularia tenuicaulis +Ligularia tongkyukensis +Ligularia tongolensis +Ligularia transversifolia +Ligularia tsangchanensis +Ligularia vellerea +Ligularia yunnanensis +Nannoglottis delavayi +Nannoglottis latisquama +Nannoglottis ravida +Nannoglottis yunnanensis +Parasenecio cyclotus +Parasenecio deltophyllus +Parasenecio hastiformis +Parasenecio jiulongensis +Parasenecio latipes +Parasenecio lidjiangensis +Parasenecio longispicus +Parasenecio maowenensis +Parasenecio palmatisectus +Parasenecio rockianus +Parasenecio souliei +Pertya angustifolia +Pertya berberidoides +Pertya monocephala +Pertya phylicoides +Pertya uniflora +Petasites versipilus +Pulicaria chrysantha +Pulicaria insignis +Pyrethrum arrasanicum +Pyrethrum tatsienense +Saussurea acroura +Saussurea apus +Saussurea arenaria +Saussurea aster +Saussurea bella +Saussurea bomiensis +Saussurea brachylepis +Saussurea brunneopilosa +Saussurea bullata +Saussurea caudata +Saussurea centiloba +Saussurea ceterach +Saussurea chionophora +Saussurea ciliaris +Saussurea cochlearifolia +Saussurea colpodes +Saussurea columnaris +Saussurea compta +Saussurea coriacea +Saussurea coriolepis +Saussurea delavayi +Saussurea dschungdienensis +Saussurea dzeurensis +Saussurea eriocephala +Saussurea erubescens +Saussurea euodonta +Saussurea fistulosa +Saussurea flavo-virens +Saussurea georgei +Saussurea graciliformis +Saussurea graminea +Saussurea grandiceps +Saussurea grosseserrata +Saussurea gyacaensis +Saussurea haoi +Saussurea hypsipeta +Saussurea integrifolia +Saussurea irregularis +Saussurea kansuensis +Saussurea katochaete +Saussurea kingii +Saussurea lanata +Saussurea laniceps +Saussurea lavrenkoana +Saussurea leptolepis +Saussurea leucoma +Saussurea lhunzhubensis +Saussurea limprichtii +Saussurea lingulata +Saussurea longifolia +Saussurea loriformis +Saussurea lyratifolia +Saussurea malitiosa +Saussurea melanotrica +Saussurea micradenia +Saussurea minuta +Saussurea montana +Saussurea muliensis +Saussurea nematolepis +Saussurea neofranchetii +Saussurea nidularis +Saussurea nyalamensis +Saussurea ochrochlaena +Saussurea ovatifolia +Saussurea paleacea +Saussurea paxiana +Saussurea phaeantha +Saussurea polycolea +Saussurea polypodioides +Saussurea poochlamys +Saussurea porphyroleuca +Saussurea pratensis +Saussurea pseudomalitiosa +Saussurea pteridophylla +Saussurea pubescens +Saussurea pubifolia +Saussurea pulchra +Saussurea pulvinata +Saussurea pumila +Saussurea purpurascens +Saussurea quercifolia +Saussurea retroserrata +Saussurea rhytidocarpa +Saussurea rockii +Saussurea romuleifolia +Saussurea salwinensis +Saussurea scabrida +Saussurea semiamplexicaulis +Saussurea semifasciata +Saussurea semilyrata +Saussurea sericea +Saussurea souliei +saussurea spatulifolia +Saussurea subulisquama +Saussurea tatsienensis +Saussurea thoroldii +Saussurea tibetica +Saussurea uliginosa +Saussurea undulata +Saussurea variiloba +Saussurea velutina +Saussurea wellbyi +Saussurea wettsteiniana +Saussurea woodiana +Saussurea yunnanensis +Scorzonera pamirica +Senecio atrofuscus +Senecio chungtienensis +Senecio daochengensis +Senecio densiserratus +Senecio diversipinnus +Senecio dodrans +Senecio drukensis +Senecio echaetus +Senecio erythropappus +Senecio kongboensis +Senecio lhasaensis +Senecio lijiangensis +Senecio lingianus +Senecio megalanthus +Senecio muliensis +Senecio multibracteolatus +Senecio myriocephalus +Senecio nigrocinctus +Senecio nodiflorus +Senecio pteridophyllus +Senecio saussureoides +Senecio spathiphyllus +Senecio tricuspis +Seriphidium grenardii +Sinacalia caroli +Sinosenecio fangianus +Sinosenecio rotundifolius +Sinosenecio subrosulatus +Sinosenecio sungpanensis +Soroseris teres +Stenoseris tenuis +Syncalathium chrysocephalum +Syncalathium disciforme +Syncalathium kawaguchii +Syncalathium roseum +Syncalathium souliei +Synotis auriculata +Synotis muliensis +Synotis otophylla +Synotis setchuanensis +Synotis solidaginea +Synotis xantholeuca +Taraxacum calanthodium +Taraxacum centrasiaticum +Taraxacum chionophilum +Taraxacum dasypodum +Taraxacum forrestii +Taraxacum glaucophyllum +Taraxacum grypodon +Taraxacum lanigerum +Taraxacum ludlowii +Taraxacum lugubre +Taraxacum maurocarpum +Taraxacum qirae +Taraxacum stenoceras +Taraxacum suberiopodum +Tephroseris rufa +Xanthopappus subacaulis +Youngia hastiformis +Youngia kangdingensis +Youngia paleacea +Youngia pilifera +Youngia terminalis +Impatiens apsotis +Impatiens bahanensis +Impatiens barbata +Impatiens chiulungensis +Impatiens conaensis +Impatiens crassicaudex +Impatiens delavayi +Impatiens desmantha +Impatiens fragicolor +Impatiens gongshanensis +Impatiens hengduanensis +Impatiens infirma +Impatiens lingzhiensis +Impatiens margaritifera +Impatiens medogensis +Impatiens microcentra +Impatiens muliensis +Impatiens mussoti +Impatiens nubigena +Impatiens nyimana +Impatiens odontopetala +Impatiens oligoneura +Impatiens scutisepala +Impatiens soulieana +Impatiens subecalcarata +Impatiens taronensis +Impatiens tenerrima +Impatiens tenuibracteata +Impatiens thiochroa +Impatiens tomentella +Impatiens tortisepala +Impatiens torulosa +Impatiens toxophora +Impatiens vittata +Impatiens waldheimiana +Impatiens weihsiensis +Impatiens xanthocephala +Begonia asperifolia +Begonia brevisetulosa +Begonia gungshanensis +Berberis agricola +Berberis approximata +Berberis asmyana +Berberis batangensis +Berberis brachystachys +Berberis bracteata +Berberis calcipratorum +Berberis calliantha +Berberis campylotropa +Berberis chrysosphaera +Berberis concolor +Berberis contracta +Berberis coryi +Berberis crassilimba +Berberis daiana +Berberis daochengensis +Berberis dawoensis +Berberis delavayi +Berberis derongensis +Berberis dictyoneura +Berberis dictyophylla +Berberis dumicola +Berberis elliotii +Berberis erythroclada +Berberis fengii +Berberis forrestii +Berberis francisci-ferdinandi +Berberis gilungensis +Berberis graminea +Berberis gyalaica +Berberis hemsleyana +Berberis hobsonii +Berberis humido-umbrosa +Berberis hypericifolia +Berberis jamesiana +Berberis jiulongensis +Berberis johannis +Berberis kangdingensis +Berberis kartanica +Berberis kongboensis +Berberis lecomtei +Berberis lijiangensis +Berberis longispina +Berberis lubrica +Berberis ludlowii +Berberis luhuoensis +Berberis medogensis +Berberis mekongensis +Berberis metapolyantha +Berberis mianningensis +Berberis muliensis +Berberis multicaulis +Berberis multiovula +Berberis multiserrata +Berberis nullinervis +Berberis nutanticarpa +Berberis obovatifolia +Berberis pallens +Berberis papillifera +Berberis parapruinosa +Berberis pingwuensis +Berberis platyphylla +Berberis polyantha +Berberis prattii +Berberis pseudoamoena +Berberis pulangensis +Berberis racemulosa +Berberis reticulinervis +Berberis retusa +Berberis sabulicola +Berberis sherriffii +Berberis sichuanica +Berberis stiebritziana +Berberis taronensis +Berberis taylorii +Berberis temolaica +Berberis tenuipedicellata +Berberis tischleri +Berberis tomentulosa +Berberis trichiata +Berberis tsangpoensis +Berberis tsarica +Berberis tsarongensis +Berberis umbratica +Berberis vernae +Berberis vinifera +Berberis weixiensis +Berberis xanthophlaea +Berberis yunnanensis +Berberis zayulana +Dysosma tsayuensis +Epimedium elongatum +Epimedium flavum +Epimedium pauciflorum +Mahonia calamicaulis +Mahonia monyulensis +Mahonia taronensis +Betula bomiensis +Betula calcicola +Betula delavayi +Betula jiulungensis +Betula potaninii +Betula rhombibracteata +Carpinus sungpanensis +Corylus wangii +Ostryopsis nobilis +Catalpa tibetica +Incarvillea altissima +Incarvillea beresowskii +Incarvillea compacta +Incarvillea delavayi +Incarvillea dissectifoliola +Incarvillea forrestii +Incarvillea lutea +Incarvillea mairei +Incarvillea younghusbandii +Cynoglossum triste +Eritrichium acicularum +Eritrichium angustifolium +Eritrichium axillare +Eritrichium deqinense +Eritrichium echinocaryum +Eritrichium gracile +Eritrichium hemisphaericum +Eritrichium heterocarpum +Eritrichium humillimum +Eritrichium kangdingense +Eritrichium lasiocarpum +Eritrichium laxum +Eritrichium longifolium +Eritrichium longipes +Eritrichium medicarpum +Eritrichium pectinatociliatum +Eritrichium petiolare +Eritrichium qofengense +Eritrichium sessilifructum +Eritrichium sinomicrocarpum +Eritrichium tangkulaense +Hackelia difformis +Lappula caespitosa +Lappula ferganensis +Lappula himalayensis +Lasiocaryum trichocarpum +Mattiastrum himalayense +Metaeritrichium microuloides +Microula blepharolepis +Microula ciliaris +Microula diffusa +Microula efoveolata +Microula floribunda +Microula hispidissima +Microula involucriformis +Microula jilongensis +Microula leiocarpa +Microula longipes +Microula longituba +Microula muliensis +Microula myosotidea +Microula oblongifolia +Microula ovalifolia +Microula polygonoides +Microula pseudotrichocarpa +Microula rockii +Microula spathulata +Microula stenophylla +Microula tangutica +Microula younghusbandii +Onosma adenopus +Onosma album +Onosma glomeratum +Onosma liui +Onosma maaikangense +Onosma mertensioides +Onosma multiramosum +Onosma nangqienense +Onosma sinicum +Onosma waddellii +Onosma waltonii +Onosma wardii +Onosma yajiangense +Onosma zayuense +Trigonotis barkamensis +Trigonotis bracteata +Trigonotis cinereifolia +Trigonotis corispermoides +Trigonotis delicatula +Trigonotis gracilipes +Trigonotis leucantha +Trigonotis longipes +Trigonotis longiramosa +Trigonotis muliensis +Trigonotis petiolaris +Trigonotis rockii +Trigonotis rotundata +Trikeraia pappiformis +Baimashania pulvinata +Cardamine caroides +Cardamine franchetiana +Cardamine gracilis +Cardamine microzyga +Cardamine multiflora +Cardamine purpurascens +Cardamine rockii +Cardamine simplex +Chorispora tashkorganica +Christolea niyaensis +Desideria baiogoinensis +Desideria prolifera +Dilophia ebracteata +Dipoma iberideum +Dontostemon tibeticus +Draba calcicola +Draba draboides +Draba handelii +Draba involucrata +Draba juncunda +Draba linearifolia +Draba matangensis +Draba nylamensis +Draba oreodoxa +Draba remotiflora +Draba senilis +Draba serpens +Draba surculosa +Draba yunnanensis +Draba zangbeiensis +Erysimum forrestii +Erysimum handel-mazzettii +Erysimum roseum +Erysimum wardii +Eutrema fontanum +Eutrema verticillatum +Hemilophia franchetii +Hemilophia pulchella +Hemilophia rockii +Hemilophia sessilifolia +Phaeonychium villosum +Platycraspedum tibeticum +Platycraspedum wuchengyii +Sinosophiopsis bartholomewii +Sisymbriopsis pamirica +Sisymbriopsis yechengnica +Sisymbrium yunnanense +Solms-laubachia eurycarpa +Solms-laubachia lanata +Solms-laubachia linearifolia +Solms-laubachia minor +Solms-laubachia pulcherrima +Solms-laubachia retropilosa +Solms-laubachia xerophyta +Thlaspi flagelliferum +Thlaspi yunnanense +Buxus rugulosa +Adenophora brevidiscifera +Adenophora jasionifolia +Adenophora liliifolioides +Adenophora lobophylla +Campanula calcicola +Campanula chinensis +Campanula crenulata +Campanula delavayi +Campanula glomeratoides +Codonopsis alpina +Codonopsis bulleyana +Codonopsis canescens +Codonopsis chimiliensis +Codonopsis chlorocodon +Codonopsis cordifolioidea +Codonopsis gombalana +Codonopsis hirsuta +Codonopsis levicalyx +Codonopsis meleagris +Codonopsis pianmaensis +Codonopsis rosulata +Codonopsis subglobosa +Codonopsis subscaposa +Cyananthus fasciculatus +Cyananthus formosus +Cyananthus lichiangensis +Cyananthus macrocalyx +Cyananthus sericeus +Homocodon pedicellatus +Leptocodon hirsutus +Abelia buddleioides +Abelia forrestii +Dipsacus chinensis +Lonicera litangensis +Lonicera oreodoxa +Lonicera sublabiata +Lonicera trichosantha +Lonicera tubuliflora +Morina chlorantha +Morina kokonorica +Patrinia speciosa +Patrinia trifoliata +Pterocephalus bretschneideri +Valeriana barbulata +Valeriana daphniflora +Valeriana flagellifera +Valeriana hirticalyx +Valeriana meonantha +Valeriana minutiflora +Valeriana sichuanica +Valeriana stenoptera +Valeriana trichostoma +Arenaria acicularis +Arenaria aksayqingensis +Arenaria amdoensis +Arenaria auricoma +Arenaria barbata +Arenaria baxoiensis +Arenaria bomiensis +Arenaria brevipetala +Arenaria chamdoensis +Arenaria ciliolata +Arenaria delavayi +Arenaria dimorphitricha +Arenaria dsharaensis +Arenaria euodonta +Arenaria filipes +Arenaria forrestii +Arenaria fridericae +Arenaria galliformis +Arenaria gerzeensis +Arenaria haitzeshanensis +Arenaria inconspicua +Arenaria inornata +Arenaria ischnophylla +Arenaria kansuensis +Arenaria lancangensis +Arenaria leucasteria +Arenaria littledalei +Arenaria longipes +Arenaria longipetiolata +Arenaria longistyla +Arenaria melandryiformis +Arenaria membranisepala +Arenaria microstella +Arenaria minima +Arenaria monantha +Arenaria monilifera +Arenaria monosperma +Arenaria napuligera +Arenaria pogonantha +Arenaria polysperma +Arenaria polytrichoides +Arenaria przewalskii +Arenaria pseudostellaria +Arenaria puranensis +Arenaria qinghaiensis +Arenaria quadridentata +Arenaria ramellata +Arenaria reducta +Arenaria rhodantha +Arenaria roborowskii +Arenaria rockii +Arenaria roseiflora +Arenaria saginoides +Arenaria salweenensis +Arenaria schneideriana +Arenaria setifera +Arenaria shannanensis +Arenaria smithiana +Arenaria spathulifolia +Arenaria trichophora +Arenaria trichophylla +Arenaria tumengelaensis +Arenaria weissiana +Arenaria xerophila +Arenaria yulongshanensis +Arenaria zadoiensis +Arenaria zhongdianensis +Cerastium szechuense +Pseudostellaria tibetica +Silene adenocalyx +Silene atrocastanea +Silene atsaensis +Silene batangensis +Silene bilingua +Silene cardiopetala +Silene chodatii +Silene chungtienensis +Silene davidii +Silene dawoensis +Silene delavayi +Silene dumetosa +Silene esquamata +Silene gracilenta +Silene grandiflora +Silene herbilegorum +Silene huguettiae +Silene kialensis +Silene lamarum +Silene lhassana +Silene lichiangensis +Silene lineariloba +Silene melanantha +Silene monbeigii +Silene muliensis +Silene multifurcata +Silene namlaensis +Silene nangqenensis +Silene napuligera +Silene oblanceolata +Silene principis +Silene pubicalycina +Silene puranensis +Silene rosiflora +Silene rubricalyx +Silene subcretacea +Silene trachyphylla +Silene wardii +Silene yetii +Silene yunnanensis +Silene zhongbaensis +Silene zhoui +Stellaria arenarioides +Stellaria delavayi +Stellaria dianthifolia +Stellaria gyirongensis +Stellaria lanipes +Stellaria mainlingensis +Stellaria oxycoccoides +Stellaria petiolaris +Stellaria pilosoides +Stellaria pusilla +Stellaria souliei +Stellaria tibetica +Stellaria uda +Stellaria zangnanensis +Celastrus xizangensis +Euonymus clivicolus +Euonymus lichiangensis +Euonymus ternifolius +Microtropis sphaerocarpa +Parnassia angustipetala +Parnassia cacuminum +Parnassia davidii +Parnassia degeensis +Parnassia deqenensis +Parnassia filchneri +Parnassia humilis +Parnassia kangdingensis +Parnassia labiata +Parnassia lanceolata +Parnassia leptophylla +Parnassia lijiangensis +Parnassia longipetala +Parnassia lutea +Parnassia noemiae +Parnassia qinghaiensis +Parnassia scaposa +Parnassia submysorensis +Parnassia subscaposa +Parnassia trinervis +Parnassia yanyuanensis +Parnassia yui +Parnassia yulongshanensis +Parnassia yunnanensis +Garcinia nujiangensis +Tricarpelema xizangense +Cuscuta macrolepis +Ipomoea hirtifolia +Costus oblongus +Kungia aliciae +Ohbaea balfourii +Rhodiola alsia +Rhodiola alterna +Rhodiola chrysanthemifolia +Rhodiola forrestii +Rhodiola handelii +Rhodiola junggarica +Rhodiola primuloides +Rhodiola purpureoviridis +Rhodiola sexifolia +Rhodiola subopposita +Rhodiola tangutica +Rhodiola tieghemii +Sedum blepharophyllum +Sedum celatum +Sedum celiae +Sedum costantinii +Sedum daigremontianum +Sedum didymocalyx +Sedum dimorphophyllum +Sedum erici-magnusii +Sedum feddei +Sedum fedtschenkoi +Sedum forrestii +Sedum franchetii +Sedum fui +Sedum giajae +Sedum glaebosum +Sedum heckelii +Sedum hengduanense +Sedum leucocarpum +Sedum longifuniculatum +Sedum longyanense +Sedum lutzii +Sedum magniflorum +Sedum morotii +Sedum muyaicum +Sedum nothodugueyi +Sedum obtrullatum +Sedum oligocarpum +Sedum pagetodes +Sedum paracelatum +Sedum perrotii +Sedum platysepalum +Sedum prasinopetalum +Sedum pratoalpinum +Sedum purdomii +Sedum ramentaceum +Sedum raymondii +Sedum rosei +Sedum sagittipetalum +Sedum sinoglaciale +Sedum stimulosum +Sedum trichospermum +Sedum tsinghaicum +Sedum tsonanum +Sedum ulricae +Sedum wangii +Sedum wenchuanense +Sinocrassula ambigua +Sinocrassula techinensis +Gynostemma aggregatum +Hemsleya dulongjiangensis +Hemsleya endecaphylla +Hemsleya gigantha +Hemsleya lijiangensis +Schizopepon bomiensis +Schizopepon macranthus +Schizopepon xizangensis +Thladiantha lijiangensis +Thladiantha longisepala +Thladiantha medogensis +Thladiantha setispina +Cupressus chengiana +Cupressus gigantea +Juniperus convallium +Juniperus komarovii +Juniperus przewalskii +Juniperus saltuaria +Juniperus tibetica +Carex aristulifera +Carex canaliculata +Carex changmuensis +Carex chiwuana +Carex crebra +Carex deciduisquama +Carex delavayi +Carex deqinensis +Carex dielsiana +Carex drepanorhyncha +Carex forrestii +Carex globistylosa +Carex gonggaensis +Carex gongshanensis +Carex handelii +Carex heshuonensis +Carex hirtelloides +Carex hirticaulis +Carex hongyuanensis +Carex huolushanensis +Carex ivanoviae +Carex karlongensis +Carex longispiculata +Carex magnoutriculata +Carex makuensis +Carex melinacra +Carex motuoensis +Carex mucronatiformis +Carex muliensis +Carex neodigyna +Carex obovatosquamata +Carex oxyphylla +Carex polymascula +Carex pomiensis +Carex prolongata +Carex przewalskii +Carex pseudohumilis +Carex qinghaiensis +Carex ridongensis +Carex sagaensis +Carex satakeana +Carex schneideri +Carex scolopendriformis +Carex stipitiutriculata +Carex tangulashanensis +Carex tapintzensis +Carex tatsiensis +Carex yulungshanensis +Carex yunlingensis +Carex yunnanensis +Carex yushuensis +Carex zekogensis +Cyperus nigrofuscus +Eleocharis abnorma +Eleocharis erhaiensis +Eleocharis penchaoi +Eleocharis qinghaiensis +Eleocharis setulosa +Kobresia burangensis +Kobresia cercostachya +Kobresia cuneata +Kobresia falcata +Kobresia littledalei +Kobresia loliacea +Kobresia robusta +Kobresia setchwanensis +Kobresia tunicata +Kobresia yadongensis +Kobresia yangii +Pycreus lijiangensis +Scirpus paniculato-corymbosus +Scleria dulungensis +Diapensia wardii +Dioscorea xizangensis +Elaeagnus lanpingensis +Elaeagnus xizangensis +Hippophae gyantsensis +Hippophae neurocarpa +Elaeocarpus borealiyunnanensis +Elaeocarpus brachystachyus +Ephedra minuta +Ephedra rituensis +Agapetes aborensis +Agapetes anonyma +Agapetes camelliifolia +Agapetes ciliata +Agapetes leiocarpa +Agapetes leucocarpa +Agapetes linearifolia +Agapetes marginata +Agapetes medogensis +Agapetes mitrarioides +Agapetes praeclara +Agapetes salicifolia +Agapetes spissa +Agapetes subsessilifolia +Agapetes xizangensis +Cassiope argyrotricha +Cassiope nana +Cassiope wardii +Gaultheria brevistipes +Gaultheria heteromera +Gaultheria longiracemosa +Gaultheria praticola +Gaultheria prostrata +Gaultheria pseudonotabilis +Gaultheria purpurea +Gaultheria straminea +Gaultheria suborbicularis +Gaultheria trigonoclada +Pyrola markonica +Pyrola monophylla +Pyrola sororia +Rhododendron adenogynum +Rhododendron adenosum +Rhododendron aganniphum +Rhododendron albertsenianum +Rhododendron alutaceum +Rhododendron amandum +Rhododendron amesiae +Rhododendron anthopogonoides +Rhododendron asterochnoum +Rhododendron auritum +Rhododendron balangense +Rhododendron balfourianum +Rhododendron bamaense +Rhododendron barkamense +Rhododendron bathyphyllum +Rhododendron bijiangense +Rhododendron bonvalotii +Rhododendron bulu +Rhododendron calvescens +Rhododendron catacosmum +Rhododendron chamaethomsonii +Rhododendron circinnatum +Rhododendron citriniflorum +Rhododendron codonanthum +Rhododendron comisteum +Rhododendron complexum +Rhododendron coriaceum +Rhododendron coryanum +Rhododendron crinigerum +Rhododendron cuneatum +Rhododendron danbaense +Rhododendron dasycladoides +Rhododendron dasypetalum +Rhododendron davidsonianum +Rhododendron dawuense +Rhododendron dekatanum +Rhododendron dendrocharis +Rhododendron dignabile +Rhododendron doshongense +Rhododendron dumicola +Rhododendron elegantulum +Rhododendron erastum +Rhododendron erosum +Rhododendron erythrocalyx +Rhododendron esetulosum +Rhododendron eudoxum +Rhododendron eurysiphon +Rhododendron fastigiatum +Rhododendron flavantherum +Rhododendron flavidum +Rhododendron flavoflorum +Rhododendron fletcherianum +Rhododendron floccigerum +Rhododendron galactinum +Rhododendron gemmiferum +Rhododendron gologense +Rhododendron gonggashanense +Rhododendron gongshanense +Rhododendron hemidartum +Rhododendron heteroclitum +Rhododendron hillier +Rhododendron hippophaeoides +Rhododendron hirsutipetiolatum +Rhododendron hirtipes +Rhododendron hoi +Rhododendron hunnewellianum +Rhododendron igneum +Rhododendron impeditum +Rhododendron intricatum +Rhododendron invictum +Rhododendron joniense +Rhododendron lanatoides +Rhododendron lanatum +Rhododendron lateriflorum +Rhododendron leptopeplum +Rhododendron leucaspis +Rhododendron longesquamatum +Rhododendron longicalyx +Rhododendron luhuoense +Rhododendron lukiangense +Rhododendron lulangense +Rhododendron mainlingense +Rhododendron maowenense +Rhododendron medogense +Rhododendron megalanthum +Rhododendron microgynum +Rhododendron mimetes +Rhododendron miniatum +Rhododendron minyaense +Rhododendron mollicomum +Rhododendron montroseanum +Rhododendron nakotiltum +Rhododendron nigroglandulosum +Rhododendron nitidulum +Rhododendron nyingchiense +Rhododendron odoriferum +Rhododendron oreogenum +Rhododendron orthocladum +Rhododendron parmulatum +Rhododendron peramoenum +Rhododendron phaeochrysum +Rhododendron piercei +Rhododendron pomense +Rhododendron populare +Rhododendron porphyrophyllum +Rhododendron potaninii +Rhododendron praestans +Rhododendron principis +Rhododendron pronum +Rhododendron proteoides +Rhododendron pudorosum +Rhododendron qinghaiense +Rhododendron radendum +Rhododendron ramipilosum +Rhododendron ramsdenianum +Rhododendron repens +Rhododendron rhombifolium +Rhododendron rigidum +Rhododendron riparioides +Rhododendron rufescens +Rhododendron sargentianum +Rhododendron schizopeplum +Rhododendron scopulorum +Rhododendron selense +Rhododendron semnoides +Rhododendron serpens +Rhododendron setiferum +Rhododendron sherriffii +Rhododendron shimianense +Rhododendron shweliense +Rhododendron silvaticum +Rhododendron sinonuttallii +Rhododendron souliei +Rhododendron sperabiloides +Rhododendron telmateium +Rhododendron temenium +Rhododendron tenuifolium +Rhododendron thymifolium +Rhododendron traillianum +Rhododendron trichogynum +Rhododendron trichostomum +Rhododendron tubulosum +Rhododendron uniflorum +Rhododendron uvarifolium +Rhododendron vellerrum +Rhododendron venator +Rhododendron vernicosum +Rhododendron verruciferum +Rhododendron viridescens +Rhododendron viscidifolium +Rhododendron wardii +Rhododendron wasonii +Rhododendron watsonii +Rhododendron websterianum +Rhododendron xizangense +Rhododendron yungningense +Rhododendron zekoense +Rhododendron zheguense +Rhododendron zhongdianense +Vaccinium kingdon-wardii +Vaccinium papulosum +Vaccinium scalarinervium +Vaccinium sikkimense +Vaccinium spiculatum +Vaccinium tenuiflorum +Eriocaulon leianthum +Eriocaulon minusculum +Eriocaulon rockianum +Baliospermum bilobatum +Euphorbia heishuiensis +Apios delavayi +Astragalus albido-flavus +Astragalus aridovallicola +Astragalus basiflorus +Astragalus batangensis +Astragalus brevialatus +Astragalus caeruleopetalinus +Astragalus camptodontoides +Astragalus changduensis +Astragalus changmuicus +Astragalus chilienshanensis +Astragalus chiukiangensis +Astragalus cobresiiphilus +Astragalus craibianus +Astragalus crassifolius +Astragalus dabanshanicus +Astragalus datunensis +Astragalus davidii +Astragalus degensis +Astragalus dependens +Astragalus dingjiensis +Astragalus dulungkiangensis +Astragalus dumetorum +Astragalus ernestii +Astragalus euchlorus +Astragalus fenzelianus +Astragalus forrestii +Astragalus golmuensis +Astragalus guinanicus +Astragalus habamontis +Astragalus handelii +Astragalus hedinii +Astragalus kialensis +Astragalus kukunoricus +Astragalus lasaensis +Astragalus latiunguiculatus +Astragalus lhorongensis +Astragalus licentianus +Astragalus longilobus +Astragalus longiscapus +Astragalus lucidus +Astragalus luteolus +Astragalus mattam +Astragalus milingensis +Astragalus minutidentatus +Astragalus monadelphus +Astragalus monbeigii +Astragalus muliensis +Astragalus neomonadelphus +Astragalus orbicularifolius +Astragalus pastorius +Astragalus peterae +Astragalus polycladus +Astragalus porphyrocalyx +Astragalus prattii +Astragalus prodigiosus +Astragalus przewalskii +Astragalus pseudoversicolor +Astragalus pullus +Astragalus retusifoliatus +Astragalus saxorum +Astragalus sedaensis +Astragalus semicircularis +Astragalus skythropos +Astragalus smithianus +Astragalus souliei +Astragalus sungpanensis +Astragalus tanguticus +Astragalus tatsienensis +Astragalus tingriensis +Astragalus tongolensis +Astragalus tsataensis +Astragalus tumbatsica +Astragalus tungensis +Astragalus turgidocarpus +Astragalus weixiensis +Astragalus wenxianensis +Astragalus xiaojinensis +Astragalus yangtzeanus +Astragalus yumenensis +Astragalus zayuensis +Bauhinia bohniana +Campylotropis brevifolia +Campylotropis wilsonii +Caragana alpina +Caragana bicolor +Caragana brevifolia +Caragana changduensis +Caragana chinghaiensis +Caragana crassispina +Caragana cuneato-alata +Caragana densa +Caragana erinacea +Caragana franchetiana +Caragana junatovii +Caragana kozlowii +Caragana tangutica +Chesneya polystichoides +Chesneya spinosa +Cochlianthus montanus +Hedysarum algidum +Hedysarum citrinum +Hedysarum fistulosum +Hedysarum jinchuanense +Hedysarum limitaneum +Hedysarum longigynophorum +Hedysarum nagarzense +Hedysarum pseudoastragalus +Hedysarum tanguticum +Hedysarum thiochroum +Hedysarum trigonomerum +Hedysarum xizangense +Indigofera acutipetala +Indigofera balfouriana +Indigofera calcicola +Indigofera daochengensis +Indigofera dolichochaete +Indigofera dumetorum +Indigofera lenticellata +Indigofera muliensis +Indigofera rigioclada +Indigofera souliei +Indigofera subverticellata +Indigofera szechuensis +Indigofera wilsonii +Lespedeza fasciculiflora +Oxytropis auriculata +Oxytropis avisoides +Oxytropis baxoiensis +Oxytropis biflora +Oxytropis brevipedunculata +Oxytropis densiflora +Oxytropis falcata +Oxytropis gerzeensis +Oxytropis guinanensis +Oxytropis latialata +Oxytropis linearibracteata +Oxytropis longialata +Oxytropis maduoensis +Oxytropis maqinensis +Oxytropis ochrolongibracteata +Oxytropis parasericeopetata +Oxytropis proboscidea +Oxytropis pseudoncoerulea +Oxytropis pusilla +Oxytropis qilianshanica +Oxytropis qinghaiensis +Oxytropis qingnanensis +Oxytropis reniformis +Oxytropis sericopetala +Oxytropis sichuanica +Oxytropis subpodoloba +Oxytropis yunnanensis +Phyllolobium camptodontum +Phyllolobium enneaphyllum +Phyllolobium flavovirens +Phyllolobium lasaense +Phyllolobium pastorium +Piptanthus tomentosus +Salweenia wardii +Thermopsis smithiana +Tibetia forrestii +Tibetia tongolensis +Tibetia yadongensis +Tibetia yunnanensis +Vicia dichroantha +Vicia longicuspis +Vicia nummularia +Vicia ternata +Cyclobalanopsis kiukiangensis +Cyclobalanopsis motuoensis +Lithocarpus arcaula +Lithocarpus obscurus +Lithocarpus pseudoxizangensis +Lithocarpus xizangensis +Quercus longispica +Comastoma cyananthiflorum +Comastoma disepalum +Comastoma jigzhiense +Comastoma muliense +Comastoma traillianum +Crawfurdia crawfurdioides +Crawfurdia delavayi +Crawfurdia lobatilimba +Crawfurdia nyingchiensis +Crawfurdia semialata +Crawfurdia sessiliflora +Crawfurdia sinkuensis +Gentiana abaensis +Gentiana alsinoides +Gentiana altorum +Gentiana anisostemon +Gentiana aperta +Gentiana arethusae +Gentiana aristata +Gentiana asparagoides +Gentiana atropurpurea +Gentiana atuntsiensis +Gentiana baoxingensis +Gentiana bomiensis +Gentiana caeruleogrisea +Gentiana choanantha +Gentiana chungtienensis +Gentiana clarkei +Gentiana conduplicata +Gentiana crassula +Gentiana crenulatotruncata +Gentiana cristata +Gentiana curvianthera +Gentiana curviphylla +Gentiana daochengensis +Gentiana deltoidea +Gentiana dendrologi +Gentiana divaricata +Gentiana dolichocalyx +Gentiana doxiongshanensis +Gentiana ecaudata +Gentiana erectosepala +Gentiana flexicaulis +Gentiana formosa +Gentiana forrestii +Gentiana futtereri +Gentiana georgei +Gentiana grumii +Gentiana haynaldii +Gentiana heleonastes +Gentiana helophila +Gentiana hirsuta +Gentiana inconspicua +Gentiana intricata +Gentiana lacinulata +Gentiana lawrencei +Gentiana lhassica +Gentiana linoides +Gentiana ludingensis +Gentiana microdonta +Gentiana namlaensis +Gentiana nanobella +Gentiana ninglangensis +Gentiana nyingchiensis +Gentiana otophoroides +Gentiana picta +Gentiana praeclara +Gentiana prattii +Gentiana producta +Gentiana pseudosquarrosa +Gentiana pudica +Gentiana purdomii +Gentiana qiujiangensis +Gentiana radiata +Gentiana scabrifilamenta +Gentiana souliei +Gentiana spathulifolia +Gentiana stellata +Gentiana stellulata +Gentiana stragulata +Gentiana striata +Gentiana striolata +Gentiana subintricata +Gentiana subuliformis +Gentiana subuniflora +Gentiana syringea +Gentiana szechenyii +Gentiana tatsienensis +Gentiana tetraphylla +Gentiana tongolensis +Gentiana trichotoma +Gentiana tricolor +Gentiana viatrix +Gentiana waltonii +Gentiana wasenensis +Gentiana winchuanensis +Gentiana zekuensis +Gentianella anomala +Gentianella arenaria +Lomatogoniopsis alpina +Lomatogoniopsis galeiformis +Lomatogoniopsis ovatifolia +Lomatogonium lijiangense +Lomatogonium longifolium +Lomatogonium macranthum +Lomatogonium oreocharis +Lomatogonium perenne +Swertia alba +Swertia calycina +Swertia conaensis +Swertia delavayi +Swertia divaricata +Swertia elata +Swertia endotricha +Swertia fasciculata +Swertia forrestii +Swertia franchetiana +Swertia gyacaensis +Swertia handeliana +Swertia mussoti +Swertia patula +Swertia pianmaensis +Swertia przewalskii +Swertia rotundiglandula +Swertia scapiformis +Swertia souliei +Swertia splendens +Swertia tenuis +Swertia tetraptera +Swertia tibetica +Swertia verticillifolia +Swertia zayuensis +Geranium farreri +Geranium hispidissimum +Geranium moupinense +Geranium napuligerum +Geranium pogonanthum +Geranium rubifolium +Geranium umbelliforme +Geranium yunnanense +Aeschynanthus angustissimus +Aeschynanthus dolichanthus +Aeschynanthus lasianthus +Aeschynanthus lasiocalyx +Aeschynanthus medogensis +Aeschynanthus tenuis +Briggsia aurantiaca +Chirita infundibuliformis +Didymocarpus medogensis +Didymocarpus zhufengensis +Loxostigma mekongense +Lysionotus gamosepalus +Lysionotus metuoensis +Lysionotus sulphureus +Oreocharis cinnamomea +Oreocharis cordatula +Oreocharis delavayi +Oreocharis eximia +Oreocharis forrestii +Oreocharis georgei +Oreocharis glandulosa +Oreocharis leucantha +Oreocharis minor +Oreocharis primuliflora +Oreocharis sichuanica +Oreocharis urceolata +Whytockia gongshanensis +Petrocosmea flaccida +Ribes glabricalycinum +Ribes humile +Ribes kialanum +Ribes pseudofasciculatum +Ribes setchuense +Ribes soulieanum +Ribes tianquanense +Ribes xizangense +Corylopsis glaucescens +Corylopsis trabeculosa +Corylopsis yui +Deutzia bomiensis +Deutzia crassidentata +Deutzia glaucophylla +Deutzia heterophylla +Deutzia monbeigii +Deutzia muliensis +Deutzia obtusilobata +Deutzia subulata +Deutzia yunnanensis +Deutzia zhongdianensis +Dichroa yunnanensis +Hydrangea dumicola +Philadelphus lushuiensis +Philadelphus purpurascens +Philadelphus tetragonus +Schizophragma crassum +Schizophragma megalocarpum +Hypericum maclarenii +Iris barbatula +Iris cuniculiformis +Iris delavayi +Iris farreri +Iris latistyla +Iris leptophylla +Iris narcissiflora +Iris qinghainica +Iris subdichotoma +Itea kiukiangensis +Juncus giganteus +Juncus kangpuensis +Juncus longistamineus +Juncus milashanensis +Juncus nigroviolaceus +Juncus tibeticus +Juncus unifolius +Luzula bomiensis +Luzula jilongensis +Luzula sichuanensis +Ajuga campylanthoides +Ajuga nubigena +Ajuga ovalifolia +Ajuga sciaphila +Caryopteris glutinosa +Caryopteris trichosphaera +Chelonopsis albiflora +Chelonopsis bracteata +Chelonopsis pseudobracteata +Chelonopsis souliei +Clerodendrum tibetanum +Clinopodium discolor +Colquhounia compta +Dracocephalum breviflorum +Dracocephalum bullatum +Dracocephalum calophyllum +Dracocephalum forrestii +Dracocephalum imbricatum +Dracocephalum isabellae +Dracocephalum microflorum +Dracocephalum propinquum +Dracocephalum purdomii +Dracocephalum tanguticum +Dracocephalum velutinum +Dracocephalum wallichii +Elsholtzia capituligera +Elsholtzia cephalantha +Elsholtzia ochroleuca +Elsholtzia pygmaea +Elsholtzia souliei +Isodon adenolomus +Isodon albopilosus +Isodon barbeyanus +Isodon calcicolus +Isodon dawoensis +Isodon flabelliformis +Isodon flexicaulis +Isodon forrestii +Isodon gesneroides +Isodon glutinosus +Isodon grandifolius +Isodon irroratus +Isodon leucophyllus +Isodon lihsienensis +Isodon loxothyrsus +Isodon medilungensis +Isodon megathyrsus +Isodon mucronatus +Isodon muliensis +Isodon oresbius +Isodon pharicus +Isodon phyllopodus +Isodon phyllostachys +Isodon pleiophyllus +Isodon rugosiformis +Isodon scoparius +Isodon secundiflorus +Isodon silvaticus +Isodon smithianus +Isodon tenuifolius +Isodon wardii +Isodon weisiensis +Isodon wikstroemioides +Isodon yuennanensis +Leonurus urticifolius +Lophanthus tibeticus +Marmoritis complanatum +Marmoritis decolorans +Marmoritis nivalis +Melissa yunnanensis +Micromeria barosma +Micromeria euosma +Micromeria wardii +Microtoena muliensis +Nepeta coerulescens +Nepeta dentata +Nepeta hemsleyana +Nepeta jomdaensis +Nepeta membranifolia +Nepeta sessilis +Nepeta souliei +Nepeta stewartiana +Nepeta sungpanensis +Nepeta taxkorganica +Nepeta tenuiflora +Nepeta veitchii +Nepeta wilsonii +Nepeta yanthina +Nepeta zandaensis +Notochaete longiaristata +Phlomoides ambigua +Phlomoides atropurpurea +Phlomoides betonicoides +Phlomoides brevidentata +Phlomoides cuneata +Phlomoides fimbriata +Phlomoides forrestii +Phlomoides kansuensis +Phlomoides likiangensis +Phlomoides longicalyx +Phlomoides medicinalis +Phlomoides melanantha +Phlomoides milingensis +Phlomoides muliensis +Phlomoides nana +Phlomoides nyalamensis +Phlomoides paohsingensis +Phlomoides pararotata +Phlomoides pygmaea +Phlomoides ruptilis +Phlomoides setifera +Phlomoides strigosa +Phlomoides szechuanensis +Phlomoides tatsienensis +Phlomoides tibetica +Phlomoides younghusbandii +Pogostemon dielsianus +Pogostemon hispidocalyx +Premna oligantha +Premna yunnanensis +Salvia alatipetiolata +Salvia atrorubra +Salvia bifidocalyx +Salvia brachyloma +Salvia brevilabra +Salvia bulleyana +Salvia cyclostegia +Salvia cynica +Salvia evansiana +Salvia flava +Salvia grandifolia +Salvia handelii +Salvia heterochroa +Salvia hylocharis +Salvia kiaometiensis +Salvia mekongensis +Salvia pauciflora +Salvia pogonochila +Salvia prattii +Salvia schizochila +Salvia smithii +Salvia subpalmatinervis +Salvia trijuga +Salvia wardii +Scutellaria chungtienensis +Scutellaria forrestii +Scutellaria hypericifolia +Scutellaria kingiana +Scutellaria likiangensis +Scutellaria nigricans +Scutellaria spectabilis +Vitex yunnanensis +Holboellia medogensis +Beilschmiedia xizangensis +Cinnamomum contractum +Lindera kariensis +Lindera longipedunculata +Lindera motuoensis +Lindera tienchuanensis +Lindera villipes +Litsea biflora +Litsea chengshuzhii +Litsea coelestis +Litsea depressa +Litsea gongshanensis +Litsea liboshengii +Litsea mishmiensis +Litsea taronensis +Litsea tibetana +Machilus chayuensis +Machilus gongshanensis +Machilus obscurinervis +Machilus ovatiloba +Neocinnamomum mekongense +Phoebe motuonan +Fritillaria crassicaulis +Fritillaria dajinensis +Fritillaria fusca +Fritillaria przewalskii +Fritillaria sichuanica +Fritillaria sinica +Fritillaria unibracteata +Lilium brevistylum +Lilium duchartrei +Lilium habaense +Lilium henrici +Lilium lankongense +Lilium lijiangense +Lilium lophophorum +Lilium matangense +Lilium paradoxum +Lilium pinifolium +Lilium regale +Lilium saccatum +Lilium souliei +Lilium stewartianum +Lilium taliense +Lilium wardii +LiLium xanthellum +Lloydia ixiolirioides +Lloydia oxycarpa +Nomocharis meleagrina +Nomocharis pardanthina +Streptopus parviflorus +Hiptage yunnanensis +Abutilon paniculatum +Hibiscus aridicola +Tilia callidonta +Tilia likiangensis +Paris dulongensis +Dysoxylum medogense +Stephania brevipedunculata +Artocarpus gongshanensis +Syzygium xizangense +Commicarpus lantsangensis +Forsythia likiangensis +Jasminum stephanense +Olea laxiflora +Syringa mairei +Syringa pinetorum +Syringa sweginzowii +Syringa tibetica +Syringa tomentella +Syringa wardii +Syringa yunnanensis +Epilobium kingdonii +Amitostigma farreri +Amitostigma papilionaceum +Amitostigma physoceras +Amitostigma simplex +Amitostigma tibeticum +Amitostigma trifurcatum +Amitostigma yuanum +Androcorys oxysepalus +Androcorys spiralis +Bulbophyllum bomiense +Calanthe dulongensis +Calanthe ecarinata +Cleisostoma medogense +Coelogyne gongshanensis +Cypripedium bardolphianum +Cypripedium farreri +Cypripedium forrestii +Cypripedium lichiangense +Cypripedium ludlowii +Cypripedium margaritaceum +Cypripedium sichuanense +Cypripedium subtropicum +Cypripedium wardii +Cypripedium yunnanense +Eria gracilicauis +Eria tenuicaulis +Galearis wardii +Gastrochilus gongshanensis +Gastrodia angusta +Goodyera yunnanensis +Gymnadenia bicornis +Gymnadenia crassinervis +Habenaria acianthoides +Habenaria balfouriana +Habenaria diplonema +Habenaria mairei +Habenaria szechuanica +Habenaria tibetica +Habenaria wolongensis +Herminium carnosilabre +Herminium chloranthum +Herminium ecalcaratum +Herminium glossophyllum +Liparis cheniana +Neottia megalochila +Neottianthe camptoceras +Neottianthe compacta +Neottianthe oblonga +Neottianthe ovata +Oreorchis angustata +Oreorchis erythrochrysea +Oreorchis nana +Oreorchis parvula +Papilionanthe uniflora +Peristylus jinchuanicus +Peristylus neotineoides +Platanthera chiloglossa +Platanthera contigua +Platanthera herminioides +Platanthera likiangensis +Platanthera oreophila +Platanthera sinica +Platanthera stenophylla +Ponerorchis chrysea +Smithorchis calceoliformis +Hemipilia forrestii +Mannagettaea labiata +Orobanche megalantha +Orobanche mupinensis +Orobanche sinensis +Pedicularis aloensis +Pedicularis altifrontalis +Pedicularis anas +Pedicularis angularis +Pedicularis angustilabris +Pedicularis angustiloba +Pedicularis anomala +Pedicularis armata +Pedicularis aschistorhyncha +Pedicularis atroviridis +Pedicularis atuntsiensis +Pedicularis aurata +Pedicularis axillaris +Pedicularis batangensis +Pedicularis bidentata +Pedicularis bietii +Pedicularis bomiensis +Pedicularis brachycrania +Pedicularis brevilabris +Pedicularis cephalantha +Pedicularis cernua +Pedicularis chenocephala +Pedicularis chingii +Pedicularis cinerascens +Pedicularis connata +Pedicularis corydaloides +Pedicularis corymbifera +Pedicularis cranolopha +Pedicularis craspedotricha +Pedicularis cristatella +Pedicularis croizatiana +Pedicularis cyathophylla +Pedicularis cyathophylloides +Pedicularis cyclorhyncha +Pedicularis cymbalaria +Pedicularis daochengensis +Pedicularis daucifolia +Pedicularis decorissima +Pedicularis deltoidea +Pedicularis densispica +Pedicularis dichotoma +Pedicularis dichrocephala +Pedicularis dolichocymba +Pedicularis dolichoglossa +Pedicularis dolichostachya +Pedicularis duclouxii +Pedicularis dulongensis +Pedicularis dunniana +Pedicularis elliotii +Pedicularis fastigiata +Pedicularis fengii +Pedicularis filicula +Pedicularis flaccida +Pedicularis floribunda +Pedicularis forrestiana +Pedicularis fragarioides +Pedicularis franchetiana +Pedicularis galeata +Pedicularis geosiphon +Pedicularis glabrescens +Pedicularis gongshanensis +Pedicularis gracilicaulis +Pedicularis gracilituba +Pedicularis gyirongensis +Pedicularis gyrorhyncha +Pedicularis habachanensis +Pedicularis hemsleyana +Pedicularis hirtella +Pedicularis humilis +Pedicularis inaequilobata +Pedicularis infirma +Pedicularis ingens +Pedicularis insignis +Pedicularis kangtingensis +Pedicularis kansuensis +Pedicularis kariensis +Pedicularis kialensis +Pedicularis kongboensis +Pedicularis lamioides +Pedicularis lanpingensis +Pedicularis lasiophrys +Pedicularis latirostris +Pedicularis latituba +Pedicularis laxiflora +Pedicularis laxispica +Pedicularis leptosiphon +Pedicularis likiangensis +Pedicularis lingelsheimiana +Pedicularis longicalyx +Pedicularis longipes +Pedicularis longipetiolata +Pedicularis longistipitata +Pedicularis lophotricha +Pedicularis macrorhyncha +Pedicularis macrosiphon +Pedicularis maxonii +Pedicularis mayana +Pedicularis melampyriflora +Pedicularis membranacea +Pedicularis metaszetschuanica +Pedicularis meteororhyncha +Pedicularis micrantha +Pedicularis minima +Pedicularis minutilabris +Pedicularis monbeigiana +Pedicularis moupinensis +Pedicularis muscoides +Pedicularis mussotii +Pedicularis mychophila +Pedicularis neolatituba +Pedicularis nyalamensis +Pedicularis nyingchiensis +Pedicularis obscura +Pedicularis oliveriana +Pedicularis orthocoryne +Pedicularis paiana +Pedicularis paxiana +Pedicularis pectinatiformis +Pedicularis pentagona +Pedicularis petitmenginii +Pedicularis pheulpinii +Pedicularis pilostachya +Pedicularis pinetorum +Pedicularis plicata +Pedicularis polyodonta +Pedicularis praeruptorum +Pedicularis princeps +Pedicularis przewalskii +Pedicularis pseudocephalantha +Pedicularis pseudocurvituba +Pedicularis pseudoingens +Pedicularis pseudomelampyriflora +Pedicularis pseudomuscicola +Pedicularis pseudosteiningeri +Pedicularis pygmaea +Pedicularis quxiangensis +Pedicularis recurva +Pedicularis remotiloba +Pedicularis reptans +Pedicularis retingensis +Pedicularis rhizomatosa +Pedicularis rhodotricha +Pedicularis rhynchodonta +Pedicularis rhynchotricha +Pedicularis rizhaoensis +Pedicularis roborowskii +Pedicularis ruoergaiensis +Pedicularis rupicola +Pedicularis salicifolia +Pedicularis scolopax +Pedicularis semitorta +Pedicularis sherriffii +Pedicularis sima +Pedicularis smithiana +Pedicularis sorbifolia +Pedicularis souliei +Pedicularis sphaerantha +Pedicularis steiningeri +Pedicularis stenocorys +Pedicularis stenotheca +Pedicularis streptorhyncha +Pedicularis stylosa +Pedicularis subulatidens +Pedicularis superba +Pedicularis szetschuanica +Pedicularis takpoensis +Pedicularis taliensis +Pedicularis tapaoensis +Pedicularis tatsienensis +Pedicularis tayloriana +Pedicularis tenacifolia +Pedicularis tenera +Pedicularis tenuituba +Pedicularis thamnophila +Pedicularis tibetica +Pedicularis tomentosa +Pedicularis tongolensis +Pedicularis triangularidens +Pedicularis trichocymba +Pedicularis trichomata +Pedicularis tricolor +Pedicularis tsaii +Pedicularis tsarungensis +Pedicularis umbelliformis +Pedicularis urceolata +Pedicularis variegata +Pedicularis wardii +Pedicularis weixiensis +Pedicularis wilsonii +Pedicularis xiangchengensis +Pedicularis yanyuanensis +Pedicularis yui +Pedicularis yunnanensis +Pedicularis zayuensis +Pedicularis zhongdianensis +Pterygiella suffruticosa +Paeonia decomposita +Paeonia delavayi +Paeonia ludlowii +Paeonia sterniana +Corydalis acropteryx +Corydalis adoxifolia +Corydalis appendiculata +Corydalis atuntsuensis +Corydalis balsamiflora +Corydalis barbisepala +Corydalis benecincta +Corydalis bimaculata +Corydalis bokuensis +Corydalis brevirostrata +Corydalis brunneo-vaginata +Corydalis bulbifera +Corydalis calcicola +Corydalis chamdoensis +Corydalis chrysosphaera +Corydalis conspersa +Corydalis corymbosa +Corydalis crista-galli +Corydalis cristata +Corydalis cytisiflora +Corydalis dajingensis +Corydalis dasyptera +Corydalis degensis +Corydalis delavayi +Corydalis densispica +Corydalis drakeana +Corydalis dubia +Corydalis elata +Corydalis ellipticarpa +Corydalis eugeniae +Corydalis filisecta +Corydalis fimbripetala +Corydalis foetida +Corydalis foliaceo-bracteata +Corydalis geocarpa +Corydalis glycyphyllos +Corydalis grandiflora +Corydalis gyrophylla +Corydalis hamata +Corydalis hebephylla +Corydalis hemidicentra +Corydalis hepaticifolia +Corydalis heracleifolia +Corydalis heterocentra +Corydalis imbricata +Corydalis inopinata +Corydalis jiulongensis +Corydalis kingdonis +Corydalis kingii +Corydalis kiukiangensis +Corydalis kokiana +Corydalis lasiocarpa +Corydalis lathyrophylla +Corydalis lhasaensis +Corydalis lhorongensis +Corydalis linstowiana +Corydalis livida +Corydalis longibracteata +Corydalis ludlowii +Corydalis lupinoides +Corydalis melanochlora +Corydalis minutiflora +Corydalis mucronifera +Corydalis muliensis +Corydalis napuligera +Corydalis nemoralis +Corydalis nigro-apiculata +Corydalis oligosperma +Corydalis pachycentra +Corydalis pachypoda +Corydalis paniculata +Corydalis papillipes +Corydalis peltata +Corydalis petrophila +Corydalis polyphylla +Corydalis porphyrantha +Corydalis potaninii +Corydalis praecipitorum +Corydalis prattii +Corydalis pseudo-adoxa +Corydalis pseudobarbisepala +Corydalis pseudodrakeana +Corydalis pseudofluminicola +Corydalis pseudoimpatiens +Corydalis pseudorupestris +Corydalis pseudoschlechteriana +Corydalis pseudothyrsiflora +Corydalis pseudotongolensis +Corydalis pseudoweigoldii +Corydalis pubicaula +Corydalis purpureocalcarata +Corydalis pygmaea +Corydalis quantmeyeriana +Corydalis quinquefoliolata +Corydalis radicans +Corydalis retingensis +Corydalis rheinbabeniana +Corydalis rockii +Corydalis rorida +Corydalis roseotincta +Corydalis scaberula +Corydalis semiaquilegifolia +Corydalis sherriffii +Corydalis sigmantha +Corydalis smithiana +Corydalis spathulata +Corydalis straminea +Corydalis stramineoides +Corydalis striatocarpa +Corydalis temolana +Corydalis tenerrima +Corydalis tenuicalcarata +Corydalis tianzhuensis +Corydalis tibeto-alpina +Corydalis tibeto-oppositifolia +Corydalis tongolensis +Corydalis trachycarpa +Corydalis tsariensis +Corydalis tsayulensis +Corydalis urbaniana +Corydalis weigoldii +Corydalis wuzhengyiana +Corydalis yargongensis +Corydalis yui +Corydalis zadoiensis +Corydalis zhongdianensis +Dactylicapnos lichiangensis +Dicranostigma platycarpum +Meconopsis aculeata +Meconopsis argemonantha +Meconopsis barbiseta +Meconopsis delavayi +Meconopsis florindae +Meconopsis forrestii +Meconopsis georgei +Meconopsis henrici +Meconopsis pseudohorridula +Meconopsis pseudovenusta +Meconopsis punicea +Meconopsis racemosa +Meconopsis speciosa +Meconopsis torquata +Meconopsis venusta +Meconopsis zangnanensis +Adinandra latifolia +Eurya chukiangensis +Eurya crassilimba +Eurya gracilipes +Eurya gungshanensis +Eurya handel-mazzettii +Eurya perserrata +Eurya taronensis +Eurya tsaii +Ternstroemia biangulipes +Lancea hirsuta +Mazus celsioides +Mimulus tibeticus +Glochidion medogense +Phyllanthus tsarongensis +Abies chayuensis +Abies ferreana +Abies georgei +Abies recurvata +Abies squamata +Larix mastersiana +Larix speciosa +Picea purpurea +Pinus densata +Pseudotsuga forrestii +Piper infossum +Pittosporum angustilimbum +Pittosporum heterophyllum +Pittosporum saxicola +Lagotis alutacea +Lagotis angustibracteata +Lagotis brachystachya +Lagotis brevituba +Lagotis humilis +Lagotis integra +Lagotis kongboensis +Lagotis macrosiphon +Lagotis praecox +Lagotis wardii +Lagotis yunnanensis +Linaria thibetica +Linaria yunnanensis +Plantago perssonii +Scrofella chinensis +Scrophularia aequilabris +Scrophularia chasmophila +Scrophularia delavayi +Scrophularia diplodonta +Scrophularia hypsophila +Scrophularia kansuensis +Scrophularia mandarinorum +Scrophularia przewalskii +Scrophularia souliei +Scrophularia spicata +Scrophularia yunnanensis +Veronica chayuensis +Veronica eriogyne +Veronica filipes +Veronica longipetiolata +Veronica riae +Veronica tibetica +Veronicastrum rhombifolium +Acantholimon popovii +Ceratostigma minus +Limonium potaninii +Achnatherum inaequiglume +Achnatherum psilantherum +Agrostis sinorupestris +Aristida alpina +Aristida brevissima +Aristida scabrescens +Aristida triseta +Aristida tsangpoensis +Arundinella yunnanensis +Brachypodium pratense +Bromus epilis +Bromus magnus +Bromus mairei +Bromus pseudoramosus +Bromus sinensis +Chimonobambusa metuoensis +Chimonocalamus tortuosus +Cymbopogon tungmaiensis +Dendrocalamus fugongensis +Dendrocalamus tibeticus +Deyeuxia flaccida +Deyeuxia flavens +Deyeuxia himalaica +Deyeuxia kokonorica +Deyeuxia mazzettii +Deyeuxia moupinensis +Deyeuxia nyingchiensis +Deyeuxia rosea +Deyeuxia yanyuanensis +Deyeuxia zangxiensis +Drepanostachyum ampullare +Drepanostachyum semiorbiculatum +Elymus anthosachnoides +Elymus atratus +Elymus barystachyus +Elymus breviaristatus +Elymus brevipes +Elymus durus +Elymus elytrigioides +Elymus grandiglumis +Elymus kengii +Elymus pulanensis +Fargesia acuticontracta +Fargesia adpressa +Fargesia angustissima +Fargesia canaliculata +Fargesia communis +Fargesia contracta +Fargesia denudata +Fargesia dulcicula +Fargesia dura +Fargesia elegans +Fargesia emaculata +Fargesia exposita +Fargesia extensa +Fargesia farcta +Fargesia glabrifolia +Fargesia gongshanensis +Fargesia jiulongensis +Fargesia lushuiensis +Fargesia macclureana +Fargesia melanostachys +Fargesia nitida +Fargesia obliqua +Fargesia orbiculata +Fargesia pleniculmis +Fargesia praecipua +Fargesia robusta +Fargesia rufa +Fargesia sagittatinea +Fargesia scabrida +Fargesia sylvestris +Fargesia yulongshanensis +Fargesia zayuensis +Festuca changduensis +Festuca chayuensis +Festuca chumbiensis +Festuca dolichantha +Festuca forrestii +Festuca handelii +Festuca kansuensis +Festuca scabriflora +Festuca sinensis +Festuca yulungschanica +Festuca yunnanensis +Helictotrichon potaninii +Leymus altus +Leymus pseudoracemosus +Leymus ruoqiangensis +Littledalea przevalskyi +Littledalea racemosa +Melica longiligulata +Melica taylorii +Melica yajiangensis +Melocalamus elevatissimus +Orinus anomala +Orinus kokonorica +Orinus tibeticus +Piptatherum grandispiculum +Poa binodis +Poa bomiensis +Poa nubigena +Poa perennis +Poa qinghaiensis +Poa zhongdianensis +Polypogon ivanovae +Ptilagrostis luquensis +Puccinellia arjinshanensis +Puccinellia degeensis +Puccinellia ladyginii +Puccinellia leiolepis +Puccinellia multiflora +Puccinellia roborovskyi +Puccinellia shuanghuensis +Setaria yunnanensis +Sinochasea trigyna +Stephanachne monandra +Stipa aliena +Themeda minor +Tripogon humilis +Tripogon sichuanicus +Tripogon yunnanensis +Trisetum kangdingense +Yushania farcticaulis +Yushania lineolata +Yushania longissima +Yushania violascens +Yushania weixiensis +Yushania xizangensis +Elymus kokonoricus +Elymus laxiflorus +Elymus melantherus +Elymus retusus +Elymus rigidulus +Elymus stenachyrus +Polygala lhunzeensis +Polygala lijiangensis +Calligonum zaidamense +Parapteropyrum tibeticum +Polygonum cathayanum +Polygonum fertile +Polygonum lichiangense +Polygonum purpureonervosum +Polygonum sinomontanum +Polygonum subscaposum +Polygonum suffultoides +Polygonum tibeticum +Polygonum umbrosum +Rheum alexandrae +Rheum forrestii +Rheum inopinatum +Rheum kialense +Rheum laciniatum +Rheum lhasaense +Rheum likiangense +Rheum przewalskyi +Rheum pumilum +Rheum rhomboideum +Rheum subacaule +Rheum sublanceolatum +Rheum tanguticum +Androsace adenocephala +Androsace alchemilloides +Androsace bisulca +Androsace brachystegia +Androsace bulleyana +Androsace cernuiflora +Androsace cuttingii +Androsace dissecta +Androsace elatior +Androsace euryantha +Androsace flavescens +Androsace forrestiana +Androsace graceae +Androsace graminifolia +Androsace integra +Androsace limprichtii +Androsace minor +Androsace mollis +Androsace ovalifolia +Androsace pomeiensis +Androsace rockii +Androsace squarrosula +Androsace stenophylla +Androsace sublanata +Androsace wardii +Androsace yargongensis +Androsace zayulensis +Lysimachia baoxingensis +Lysimachia chungdienensis +Lysimachia excisa +Lysimachia medogensis +Lysimachia pumila +Lysimachia reflexiloba +Lysimachia roseola +Lysimachia stellarioides +Lysimachia tsaii +Lysimachia tsarongensis +Maesa cavinervis +Omphalogramma brachysiphon +Omphalogramma forrestii +Omphalogramma minus +Omphalogramma souliei +Omphalogramma tibeticum +Omphalogramma vinciflorum +Pomatosace filicula +Primula advena +Primula aemula +Primula aerinantha +Primula aliciae +Primula alsophila +Primula amethystina +Primula anisodora +Primula annulata +Primula aromatica +Primula aurantiaca +Primula baileyana +Primula barbatula +Primula bathangensis +Primula bella +Primula blattariformis +Primula blinii +Primula bomiensis +Primula boreiocalliantha +Primula bracteata +Primula caldaria +Primula candicans +Primula cawdoriana +Primula cerina +Primula chamaedoron +Primula chionantha +Primula chionata +Primula chionogenes +Primula chungensis +Primula clutterbuckii +Primula cockburniana +Primula crocifolia +Primula deflexa +Primula diantha +Primula dumicola +Primula erratica +Primula falcifolia +Primula fangii +Primula farreriana +Primula fasciculata +Primula fernaldiana +Primula flabellifera +Primula flava +Primula florindae +Primula forrestii +Primula gemmifera +Primula gracilenta +Primula graminifolia +Primula heucherifolia +Primula hilaris +Primula hoffmanniana +Primula hoi +Primula humilis +Primula hylobia +Primula inopinata +Primula ioessa +Primula jaffreyana +Primula jucunda +Primula kialensis +Primula kongboensis +Primula laciniata +Primula lactucoides +Primula latisecta +Primula laxiuscula +Primula limbata +Primula littledalei +Primula meiotera +Primula melanantha +Primula melanops +Primula minor +Primula monticola +Primula moupinensis +Primula muscarioides +Primula ninguida +Primula occlusa +Primula odontica +Primula optata +Primula orbicularis +Primula oxygraphidifolia +Primula palmata +Primula pinnatifida +Primula polyneura +Primula praetermissa +Primula prattii +Primula pseudoglabra +Primula pulchella +Primula pulverulenta +Primula purdomii +Primula qinghaiensis +Primula rimicola +Primula rockii +Primula rubicunda +Primula runcinata +Primula rupicola +Primula russeola +Primula sandemaniana +Primula saturata +Primula secundiflora +Primula septemloba +Primula sertulum +Primula sinoplantaginea +Primula soongii +Primula souliei +Primula stenocalyx +Primula subularia +Primula szechuanica +Primula tangutica +Primula tayloriana +Primula tenuipes +Primula tongolensis +Primula triloba +Primula tsongpenii +Primula tzetsouensis +Primula urticifolia +Primula vialii +Primula violacea +Primula watsonii +Primula woonyoungiana +Primula youngeriana +Primula yunnanensis +Helicia tibetensis +Aconitum abietetorum +Aconitum bracteolatum +Aconitum brevicalcaratum +Aconitum brevilimbum +Aconitum brunneum +Aconitum campylorrhynchum +Aconitum changianum +Aconitum chayuense +Aconitum chiachaense +Aconitum chilienshanicum +Aconitum chrysotrichum +Aconitum crassiflorum +Aconitum creagromorphum +Aconitum diqingense +Aconitum dolichostachyum +Aconitum elliotii +Aconitum falciforme +Aconitum forrestii +Aconitum franchetii +Aconitum georgei +Aconitum glabrisepalum +Aconitum habaense +Aconitum hamatipetalum +Aconitum incisofidum +Aconitum iochanicum +Aconitum jilongense +Aconitum kongboense +Aconitum legendrei +Aconitum leiwuqiense +Aconitum liljestrandii +Aconitum longilobum +Aconitum longipedicellatum +Aconitum longipetiolatum +Aconitum ludlowii +Aconitum lycoctonifolium +Aconitum milinense +Aconitum nielamuense +Aconitum nutantiflorum +Aconitum ouvrardianum +Aconitum parcifolium +Aconitum pendulicarpum +Aconitum phyllostegium +Aconitum piepunense +Aconitum pilopetalum +Aconitum polycarpum +Aconitum polyschistum +Aconitum pomeense +Aconitum potaninii +Aconitum prominens +Aconitum pseudobrunneum +Aconitum pseudodivaricatum +Aconitum pseudokongboense +Aconitum refractum +Aconitum richardsonianum +Aconitum rilongense +Aconitum rockii +Aconitum secundiflorum +Aconitum sinoaxillare +Aconitum souliei +Aconitum spiripetalum +Aconitum stapfianum +Aconitum straminiflorum +Aconitum stylosoides +Aconitum tangense +Aconitum taronense +Aconitum tongolense +Aconitum transsectum +Aconitum tsaii +Aconitum xiangchengense +Aconitum yangii +Aconitum yunlingense +Adonis coerulea +Anemoclema glaucifolium +Anemone delavayi +Anemone erythrophylla +Anemone imbricata +Anemone laceratoincisa +Anemone patula +Anemone robusta +Anemone scabriuscula +Anemone subindivisa +Anemone subpinnata +Anemone tibetica +Anemone yulongshanica +Aquilegia rockii +Beesia deltophylla +Callianthemum farreri +Caltha sinogracilis +Clematis caudigera +Clematis corniculata +Clematis delavayi +Clematis gracilifolia +Clematis jialasaensis +Clematis metuoensis +Clematis pianmaensis +Clematis pseudopogonandra +Clematis venusta +Clematis viridis +Clematis yui +Clematis zandaensis +Coptis teeta +Delphinium aktoense +Delphinium albocoeruleum +Delphinium angustirhombicum +Delphinium autumnale +Delphinium batangense +Delphinium beesianum +Delphinium brevisepalum +Delphinium bulleyanum +Delphinium calophyllum +Delphinium calthifolium +Delphinium campylocentrum +Delphinium candelabrum +Delphinium caudatolobum +Delphinium ceratophoroides +Delphinium chayuense +Delphinium chenii +Delphinium chrysotrichum +Delphinium chumulangmaense +Delphinium chungbaense +Delphinium coleopodum +Delphinium conaense +Delphinium davidii +Delphinium dolichocentroides +Delphinium erlangshanicum +Delphinium forrestii +Delphinium glabricaule +Delphinium gonggaense +Delphinium grandilimbum +Delphinium gyalanum +Delphinium hillcoatiae +Delphinium hirtifolium +Delphinium huangzhongense +Delphinium hui +Delphinium humilius +Delphinium incisolobulatum +Delphinium kansuense +Delphinium kantzeense +Delphinium kaschgaricum +Delphinium kingianum +Delphinium kunlunshanicum +Delphinium lasiantherum +Delphinium laxicymosum +Delphinium leiophyllum +Delphinium leiostachyum +Delphinium likiangense +Delphinium longipedicellatum +Delphinium majus +Delphinium malacophyllum +Delphinium maoxianense +Delphinium maximowiczii +Delphinium medogense +Delphinium motingshanicum +Delphinium muliense +Delphinium nangchienense +Delphinium ninglangshanicum +Delphinium obcordatilimbum +Delphinium orthocentrum +Delphinium pachycentrum +Delphinium pergameneum +Delphinium pomeense +Delphinium pseudocampylocentrum +Delphinium pseudoglaciale +Delphinium pseudohamatum +Delphinium pseudopulcherrimum +Delphinium pseudothibeticum +Delphinium pseudotongolense +Delphinium pulanense +Delphinium pumilum +Delphinium purpurascens +Delphinium pylzowii +Delphinium qinghaiense +Delphinium rangtangense +Delphinium rutoense +Delphinium saxatile +Delphinium sherriffii +Delphinium sinopentagynum +Delphinium sinoscaposum +Delphinium smithianum +Delphinium souliei +Delphinium spirocentrum +Delphinium subspathulatum +Delphinium sutchuenense +Delphinium tangkulaense +Delphinium taxkorganense +Delphinium tenii +Delphinium tetragynum +Delphinium thibeticum +Delphinium tongolense +Delphinium trichophorum +Delphinium wardii +Delphinium wenchuanense +Delphinium wrightii +Delphinium wuqiaense +Delphinium yajiangense +Delphinium yangii +Delphinium yanwaense +Delphinium yechengense +Delphinium yongningense +Delphinium yuanum +Delphinium yulungshanicum +Delphinium zhangii +Eranthis albiflora +Eranthis lobulata +Halerpestes filisecta +Metanemone ranunculoides +Oxygraphis delavayi +Oxygraphis tenuifolia +Pulsatilla millefolium +Ranunculus angustisepalus +Ranunculus balangshanicus +Ranunculus banguoensis +Ranunculus cangshanicus +Ranunculus chuanchingensis +Ranunculus densiciliatus +Ranunculus dielsianus +Ranunculus dongrergensis +Ranunculus glabricaulis +Ranunculus glareosus +Ranunculus hetianensis +Ranunculus indivisus +Ranunculus kunlunshanicus +Ranunculus limprichtii +Ranunculus luoergaiensis +Ranunculus mainlingensis +Ranunculus mengyuanensis +Ranunculus micronivalis +Ranunculus minor +Ranunculus muscigenus +Ranunculus nematolobus +Ranunculus pedicellatus +Ranunculus platypetalus +Ranunculus pseudolobatus +Ranunculus similis +Ranunculus tetrandrus +Ranunculus zhungdianensis +Thalictrum atriplex +Thalictrum chayuense +Thalictrum diffusiflorum +Thalictrum finetii +Thalictrum fusiforme +Thalictrum grandiflorum +Thalictrum leuconotum +Thalictrum reticulatum +Thalictrum smithii +Thalictrum tsawarungense +Thalictrum uncatum +Thalictrum viscosum +Thalictrum wangii +Trollius micranthus +Trollius ranunculoides +Trollius vaginatus +Trollius yunnanensis +Berchemia longipedicellata +Berchemia medogensis +Rhamnella forrestii +Rhamnella wilsonii +Rhamnus flavescens +Rhamnus gilgiana +Sageretia horrida +Ziziphus montana +Ziziphus xiangchengensis +Amygdalus tangutica +Aruncus gombalanus +Chaenomeles thibetica +Coluria longifolia +Coluria oligocarpa +Cotoneaster conspicuus +Cotoneaster harrysmithii +Cotoneaster langei +Cotoneaster nitens +Cotoneaster reticulatus +Cotoneaster taylorii +Cotoneaster tenuipes +Cotoneaster wardii +Crataegus chungtienensis +Crataegus oresbia +Malus daochengensis +Malus ombrophila +Malus toringoides +Neillia breviracemosa +Neillia densiflora +Neillia fugongensis +Neillia grandiflora +Neillia thibetica +Padus integrifolia +Photinia megaphylla +Potentilla articulata +Potentilla crenulata +Potentilla delavayi +Potentilla fallens +Potentilla gombalana +Potentilla granulosa +Potentilla hypargyrea +Potentilla lancinata +Potentilla macrosepala +Potentilla multiceps +Potentilla plumosa +Potentilla taronensis +Potentilla turfosa +Potentilla xizangensis +Prunus caudata +Prunus mugus +Prunus patentipila +Prunus pleiocerasus +Prunus trichostoma +Rosa calyptopoda +Rosa deqenensis +Rosa derongensis +Rosa duplicata +Rosa farreri +Rosa forrestiana +Rosa graciliflora +Rosa ludingensis +Rosa multibracteata +Rosa murielae +Rosa persetosa +Rosa pinnatisepala +Rosa praelucens +Rosa prattii +Rosa sikangensis +Rosa taronensis +Rosa tibetica +Rosa weisiensis +Rosa zhongdianensis +Rubus angustibracteatus +Rubus austrotibetanus +Rubus erythrocarpus +Rubus gongshanensis +Rubus hemithyrsus +Rubus hypopitys +Rubus lutescens +Rubus metoensis +Rubus nyalamensis +Rubus ourosepalus +Rubus polyodontus +Rubus pseudopileatus +Rubus ptilocarpus +Rubus stans +Rubus stimulans +Rubus subinopertus +Rubus taronensis +Rubus trijugus +Sibbaldia pentaphylla +Sibbaldia phanerophylebia +Sibbaldia tenuis +Sibiraea angustata +Sibiraea tomentosa +Sorbus albopilosa +Sorbus astateria +Sorbus kiukiangensis +Sorbus lanpingensis +Sorbus monbeigii +Sorbus oligodonta +Sorbus pallescens +Sorbus reducta +Sorbus salwinensis +Sorbus subochracea +Sorbus vilmorinii +Sorbus zayuensis +Spenceria ramalana +Spiraea calcicola +Spiraea daochengensis +Spiraea lichiangensis +Spiraea lobulata +Spiraea muliensis +Spiraea papillosa +Spiraea purpurea +Spiraea siccanea +Spiraea velutina +Spiraea xizangensis +Spiraea yunnanensis +Galium forrestii +Galium glandulosum +Galium prattii +Leptodermis buxifolia +Leptodermis dielsiana +Leptodermis diffusa +Leptodermis forrestii +Leptodermis gracilis +Leptodermis handeliana +Leptodermis hirsutiflora +Leptodermis limprichtii +Leptodermis pumila +Leptodermis purdomii +Leptodermis schneideri +Leptodermis scissa +Leptodermis umbellata +Leptodermis velutiniflora +Leptodermis wilsonii +Leptodermis xizangensis +Leptodermis yui +Mussaenda decipiens +Ophiorrhiza dulongensis +Ophiorrhiza laevifolia +Ophiorrhiza medogensis +Rubia haematantha +Rubia latipetala +Rubia pallida +Rubia polyphlebia +Rubia pterygocaulis +Rubia salicifolia +Rubia tenuis +Rubia trichocarpa +Spiradiclis xizangensis +Wendlandia subalpina +Clausena vestita +Glycosmis xizangensis +Zanthoxylum motuoense +Populus haoana +Populus kangdingensis +Populus lancifolia +Populus mainlingensis +Populus minhoensis +Populus pseudoglauca +Populus qamdoensis +Populus schneideri +Populus trinervis +Populus wenxianica +Populus wuana +Populus xiangchengensis +Populus yatungensis +Populus yuana +Salix amphibola +Salix annulifera +Salix argyrophegga +Salix argyrotrichocarpa +Salix atopantha +Salix austrotibetica +Salix balfouriana +Salix bangongensis +Salix brachista +Salix clathrata +Salix coggygria +Salix contortiapiculata +Salix crenata +Salix cyanolimnea +Salix dalungensis +Salix delavayana +Salix dibapha +Salix dissa +Salix divergentistyla +Salix driophila +Salix ernestii +Salix faxonianoides +Salix fengiana +Salix floccosa +Salix gilashanica +Salix glareorum +Salix guebriantiana +Salix gyamdaensis +Salix gyirongensis +Salix heishuiensis +Salix hirticaulis +Salix jinchuanica +Salix jishiensis +Salix juparica +Salix kamanica +Salix kangdingensis +Salix kongbanica +Salix kungmuensis +Salix lanifera +Salix lasiopes +Salix limprichtii +Salix longistamina +Salix ludingensis +Salix macroblasta +Salix maerkangensis +Salix magnifica +Salix maizhokunggarensis +Salix medogensis +Salix microphyta +Salix minjiangensis +Salix muliensis +Salix neoamnematchinensis +Salix nujiangensis +Salix occidentalisinensis +Salix ochetophylla +Salix opsimantha +Salix oreinoma +Salix oritrepha +Salix ovatomicrophylla +Salix paraflabellaris +Salix paraheterochroma +Salix paratetradenia +Salix parvidenticulata +Salix pella +Salix phaidima +Salix phanera +Salix pilosomicrophylla +Salix piptotricha +Salix plocotricha +Salix pseudospissa +Salix pseudowolohoensis +Salix qinghaiensis +Salix resecta +Salix resectoides +Salix rhododendrifolia +Salix rockii +Salix sclerophylloides +Salix scopulicola +Salix souliei +Salix sphaeronymphe +Salix sphaeronymphoides +Salix spodiophylla +Salix taoensis +Salix tenella +Salix trichocarpa +Salix vaccinioides +Salix weixiensis +Salix wolohoensis +Salix wuxuhaiensis +Salix xizangensis +Salix yadongensis +Salix yumenensis +Salix zangica +Salix zayunica +Salix zhegushanica +Salix zhouquensis +Arceuthobium pini +Arceuthobium tibetense +Thesium bomiense +Thesium jarmilae +Thesium longiflorum +Thesium orgadophilum +Thesium ramosoides +Thesium remotebracteatum +Thesium tongolicum +Acer chienii +Acer forrestii +Acer fulvescens +Acer oligocarpum +Acer pentaphyllum +Acer pluridense +Acer tibetense +Acer yui +Bergenia tianquanensis +Chrysosplenium absconditicapsulum +Chrysosplenium fuscopuncticulosum +Chrysosplenium lixianense +Chrysosplenium oxygraphoides +Chrysosplenium sikangense +Saxifraga angustata +Saxifraga atrata +Saxifraga atuntsiensis +Saxifraga aurantiaca +Saxifraga auriculata +Saxifraga baimashanensis +Saxifraga bijiangensis +Saxifraga brachypodoidea +Saxifraga brevicaulis +Saxifraga bulleyana +Saxifraga cacuminum +Saxifraga candelabrum +Saxifraga cardiophylla +Saxifraga carnosula +Saxifraga champutungensis +Saxifraga chionophila +Saxifraga chrysanthoides +Saxifraga cinerascens +Saxifraga culcitosa +Saxifraga daochengensis +Saxifraga decussata +Saxifraga densifoliata +Saxifraga deqenensis +Saxifraga dianxibeiensis +Saxifraga diapensia +Saxifraga dielsiana +Saxifraga diffusicallosa +Saxifraga dingqingensis +Saxifraga divaricata +Saxifraga doyalana +Saxifraga drabiformis +Saxifraga draboides +Saxifraga dshagalensis +Saxifraga eglandulosa +Saxifraga egregia +Saxifraga egregioides +Saxifraga elliotii +Saxifraga erectisepala +Saxifraga finitima +Saxifraga flaccida +Saxifraga flexilis +Saxifraga forrestii +Saxifraga gedangensis +Saxifraga glacialis +Saxifraga glaucophylla +Saxifraga gonggashanensis +Saxifraga gyalana +Saxifraga haplophylloides +Saxifraga heteroeladoides +Saxifraga heterotricha +Saxifraga hypericoides +Saxifraga implicans +Saxifraga insolens +Saxifraga isophylla +Saxifraga jainzhuglaensis +Saxifraga kongboensis +Saxifraga linearifolia +Saxifraga litangensis +Saxifraga lixianensis +Saxifraga loripes +Saxifraga ludlowii +Saxifraga lumpuensis +Saxifraga lushuiensis +Saxifraga macrostigmatoides +Saxifraga maxionggouensis +Saxifraga medogensis +Saxifraga microgyna +Saxifraga miralana +Saxifraga monantha +Saxifraga nakaoides +Saxifraga nambulana +Saxifraga nana +Saxifraga nanelloides +Saxifraga nangqenica +Saxifraga nangxianensis +Saxifraga omphalodifolia +Saxifraga oresbia +Saxifraga paiquensis +Saxifraga pardanthina +Saxifraga parkaensis +Saxifraga parvula +Saxifraga pellucida +Saxifraga peplidifolia +Saxifraga pratensis +Saxifraga prattii +Saxifraga przewalskii +Saxifraga pulchra +Saxifraga punctulatoides +Saxifraga rizhaoshanensis +Saxifraga rotundipetala +Saxifraga sanguinea +Saxifraga sediformis +Saxifraga sessiliflora +Saxifraga sheqilaensis +Saxifraga signata +Saxifraga signatella +Saxifraga stellariifolia +Saxifraga subaequifoliata +Saxifraga subamplexicaulis +Saxifraga subomphalodifolia +Saxifraga subternata +Saxifraga subtsangchanensis +Saxifraga taraktophylla +Saxifraga tibetica +Saxifraga tigrina +Saxifraga triaristulata +Saxifraga tsangchanensis +Saxifraga versicallosa +Saxifraga wardii +Saxifraga wenchuanensis +Saxifraga yarlungzangboensis +Saxifraga yezhiensis +Saxifraga yushuensis +Saxifraga zayuensis +Saxifraga zekoensis +Saxifraga zhidoensis +Buddleja agathosma +Buddleja fallowiana +Buddleja hookeri +Buddleja minima +Buddleja tsetangensis +Buddleja wardii +Smilax bapouensis +Smilax jiankunii +Smilax lushuiensis +Lycianthes solitaria +Przewalskia tangutica +Turpinia macrosperma +Rehderodendron gongshanense +Symplocos xylopyrena +Stewartia medogensis +Daphne aurantiaca +Daphne erosiloba +Daphne gemmata +Daphne holosericea +Daphne limprichtii +Daphne longilobata +Daphne macrantha +Daphne modesta +Daphne purpurascens +Daphne tenuiflora +Daphne tripartita +Wikstroemia alternifolia +Wikstroemia baimashanensis +Wikstroemia capitato-racemosa +Wikstroemia delavayi +Wikstroemia haoi +Wikstroemia lamatsoensis +Wikstroemia leptophylla +Wikstroemia lichiangensis +Wikstroemia linearifolia +Wikstroemia lungtzeensis +Wikstroemia paxiana +Wikstroemia scytophylla +Wikstroemia stenophylla +Wikstroemia techinensis +Sparganium confertum +Sparganium limosum +Ulmus microcarpa +Elatostema acutitepalum +Elatostema angustitepalum +Elatostema auriculatum +Elatostema beibengense +Elatostema boehmerioides +Elatostema cuneiforme +Elatostema didymocephalum +Elatostema dissectoides +Elatostema dulongense +Elatostema eriocephalum +Elatostema ferrugineum +Elatostema gungshanense +Elatostema laxicymosum +Elatostema lihengianum +Elatostema litseifolium +Elatostema medogense +Elatostema platyceras +Elatostema pseudocuspidatum +Elatostema recticaudatum +Elatostema tenuicaudatoides +Elatostema tetratepalum +Laportea medogensis +Pilea auricularis +Pilea macrocarpa +Pilea multicellularis +Pilea myriantha +Pilea pauciflora +Pilea pellionioides +Urtica triangularis +Acanthochlamys bracteata +Viola confertifolia +Viola forrestiana +Viola muliensis +Viola urophylla +Ampelopsis acutidentata +Ampelopsis gongshanensis +Ampelopsis mollifolia +Cayratia kiujiangensis +Cayratia medogensis +Parthenocissus chinensis +Tetrastigma xizangense +Eremurus chinensis +Hemerocallis forrestii +Hemerocallis nana +Hedychium efilamentosum +Hedychium parvibracteatum +Hornstedtia tibetica +Roscoea forrestii +Roscoea humeana +Roscoea schneideriana +Roscoea scillifolia + +种拉丁名 Latin name of species +Dendrolycopodium obscurum +Dendrolycopodium verticale +Diphasiastrum complanatum +Diphasiastrum multispicatum +Diphasiastrum veitchii +Huperzia appressa +Huperzia herteriana +Huperzia javanica +Huperzia lajouensis +Huperzia selago +Lycopodium japonicum +Lycopodium zonatum +Palhinhaea cernua +Phlegmariurus cancellatus +Phlegmariurus fargesii +Phlegmariurus nylamensis +Phlegmariurus phlegmaria +Phlegmariurus pulcherrimus +Phlegmariurus squarrosus +Phlegmariurus subulifolius +Selaginella albocincta +Selaginella algida +Selaginella amblyphylla +Selaginella bisulcata +Selaginella chrysocaulos +Selaginella davidii +Selaginella delicatula +Selaginella densiciliata +Selaginella effusa +Selaginella helferi +Selaginella helvetica +Selaginella heterostachys +Selaginella indica +Selaginella involvens +Selaginella jiulongensis +Selaginella labordei +Selaginella megaphylla +Selaginella moellendorffii +Selaginella monospora +Selaginella nipponica +Selaginella nummularifolia +Selaginella pallidissima +Selaginella picta +Selaginella pulvinata +Selaginella remotifolia +Selaginella sanguinolenta +Selaginella tibetica +Selaginella vaginata +Selaginella vardei +Selaginella wallichii +Equisetum arvense +Equisetum diffusum +Equisetum fluviatile +Equisetum palustre +Equisetum ramosissimum +Equisetum ramosissimum subsp. debile +Psilotum nudum +Botrychium lunaria +Botrypus virginianus +Japanobotrychum lanuginosum +Ophioglossum nudicaule +Ophioglossum reticulatum +Ophioglossum vulgatum +Sceptridium daucifolium +Sceptridium robustum +Sceptridium ternatum +Angiopteris esculenta +Angiopteris wallichiana +Christensenia aesculifolia +Claytosmunda claytoniana +Osmunda japonica +Crepidomanes bipunctatum +Crepidomanes latealatum +Crepidomanes schmidianum +Didymoglossum sublimbatum +Hymenophyllum badium +Hymenophyllum corrugatum +Hymenophyllum denticulatum +Hymenophyllum exsertum +Hymenophyllum fumarioides +Hymenophyllum levingei +Hymenophyllum longissimum +Hymenophyllum polyanthos +Hymenophyllum simonsianum +Vandenboschia auriculata +Vandenboschia striata +Dipteris wallichii +Dicranopteris ampla +Dicranopteris linearis +Dicranopteris splendida +Diplopterygium blotianum +Diplopterygium giganteum +Diplopterygium laevissimum +Lygodium japonicum +Lygodium microphyllum +Lygodium salicifolium +Azolla pinnata +Plagiogyria glauca +Plagiogyria pycnophylla +Cibotium barometz +Alsophila costularis +Alsophila spinulosa +Gymnosphaera andersonii +Gymnosphaera khasyana +Sphaeropteris brunoniana +Lindsaea ensifolia +Odontosoria chinensis +Osmolindsaea odorata +Adiantum breviserratum +Adiantum capillus-veneris +Adiantum davidii +Adiantum edgeworthii +Adiantum fimbriatum +Adiantum pedatum +Adiantum philippense +Adiantum refractum +Adiantum roborowskii +Adiantum tibeticum +Adiantum venustum +Aleuritopteris albofusca +Aleuritopteris albomarginata +Aleuritopteris anceps +Aleuritopteris argentea +Aleuritopteris chrysophylla +Aleuritopteris duclouxii var. sulphurea +Aleuritopteris duthiei +Aleuritopteris formosana +Aleuritopteris grisea +Aleuritopteris kuhnii +Aleuritopteris leptolepis +Aleuritopteris niphobola +Aleuritopteris pygmaea +Aleuritopteris speciosa +Aleuritopteris subdimorpha +Aleuritopteris subvillosa +Aleuritopteris subvillosa var. tibetica +Aleuritopteris veitchii +Anogramma leptophylla +Antrophyum callifolium +Antrophyum formosanum +Antrophyum obovatum +Antrophyum wallichianum +Ceratopteris thalictroides +Cheilanthes brausei +Cheilanthes hancockii +Cheilanthes insignis +Cheilanthes nitidula +Cheilanthes tibetica +Coniogramme affinis +Coniogramme emeiensis +Coniogramme fraxinea +Coniogramme intermedia +Coniogramme intermedia var. glabra +Coniogramme japonica +Coniogramme procera +Coniogramme pubescens +Coniogramme rosthornii +Cryptogramma brunoniana +Cryptogramma raddeana +Cryptogramma stelleri +Haplopteris doniana +Haplopteris elongata +Haplopteris flexuosa +Haplopteris hainanensis +Haplopteris himalayensis +Haplopteris linearifolia +Haplopteris mediosora +Haplopteris sikkimensis +Haplopteris taeniophylla +Haplopteris zosterifolia +Onychium cryptogrammoides +Onychium japonicum +Onychium japonicum var. lucidum +Onychium siliculosum +Onychium tibeticum +Paraceterach bipinnata +Paraceterach vestita +Paragymnopteris bipinnata var. auriculata +Paragymnopteris delavayi +Paragymnopteris marantae +Paragymnopteris sargentii +Pityrogramma calomelanos +Pteris actiniopteroides +Pteris amoena +Pteris arisanensis +Pteris aspericaulis +Pteris aspericaulis var. cuspigera +Pteris aspericaulis var. subindivisa +Pteris biaurita +Pteris biaurita subsp. fornicata +Pteris bomiensis +Pteris cretica +Pteris cretica var. laeta +Pteris dactylina +Pteris ensiformis +Pteris esquirolii +Pteris fauriei +Pteris gallinopes +Pteris gracillima +Pteris grevilleana +Pteris henryi +Pteris kiuschiuensis var. centrochinensis +Pteris linearis +Pteris longipes +Pteris medogensis +Pteris multifida +Pteris plumbea +Pteris pseudodactylina +Pteris pseudopellucida +Pteris puberula +Pteris rufopilosa +Pteris scabririgens +Pteris semipinnata +Pteris setulosocostulata +Pteris terminalis +Pteris vittata +Pteris wallichiana +Dennstaedtia appendiculata +Dennstaedtia hirsuta +Dennstaedtia scabra +Histiopteris incisa +Hypolepis alpina +Hypolepis punctata +Microlepia firma +Microlepia hookeriana +Microlepia khasiyana +Microlepia macrorhomboidea +Microlepia marginata var. calvescens +Microlepia platyphylla +Microlepia pseudostrigosa +Microlepia rhomboidea +Microlepia singhii +Microlepia speluncae +Microlepia trapeziformis +Monachosorum henryi +Pteridium aquilinum var. latiusculum +Pteridium revolutum +Acystopteris tenuisecta +Cystopteris dickieana +Cystopteris fragilis +Cystopteris kansuana +Cystopteris modesta +Cystopteris montana +Cystopteris moupinensis +Cystopteris pellucida +Cystopteris tibetica +Gymnocarpium jessoense +Gymnocarpium oyamense +Diplaziopsis javanica +Asplenium bullatum +Asplenium ceterach +Asplenium ensiforme +Asplenium exiguum +Asplenium finlaysonianum +Asplenium griffithianum +Asplenium gueinzianum +Asplenium indicum +Asplenium nesii +Asplenium nidus +Asplenium nitidum +Asplenium normale +Asplenium oblanceolatum +Asplenium paucivenosum +Asplenium pekinense +Asplenium phyllitidis +Asplenium polyodon +Asplenium prolongatum +Asplenium quadrivalens +Asplenium ruta-muraria +Asplenium scortechinii +Asplenium septentrionale +Asplenium tenuicaule +Asplenium tenuicaule var. subvarians +Asplenium trapezoideum +Asplenium trichomanes +Asplenium tripteropus +Asplenium unilaterale +Asplenium varians +Asplenium viride +Asplenium wrightii +Asplenium yoshinagae +Hymenasplenium cheilosorum +Hymenasplenium excisum +Hymenasplenium furfuraceum +Hymenasplenium tholiforme +Woodsia andersonii +Woodsia cycloloba +Woodsia elongata +Woodsia glabella +Woodsia lanosa +Woodsia rosthorniana +Matteuccia struthiopteris +Pentarhizidium intermedium +Pentarhizidium orientale +Blechnidium melanopus +Blechnopsis orientalis +Stenochlaena palustris +Woodwardia unigemmata +Anisocampium cuspidatum +Athyrium aberrans +Athyrium anisopterum +Athyrium atkinsonii +Athyrium attenuatum +Athyrium austro-orientale +Athyrium biserrulatum +Athyrium bomicola +Athyrium bucahwangense +Athyrium clarkei +Athyrium contingens +Athyrium criticum +Athyrium davidii +Athyrium delicatulum +Athyrium dentigerum +Athyrium dentilobum +Athyrium devolii +Athyrium drepanopterum +Athyrium dubium +Athyrium exindusiatum +Athyrium fimbriatum +Athyrium foliolosum +Athyrium iseanum +Athyrium mackinnonorum +Athyrium mackinnonorum var. glabratum +Athyrium mackinnonorum var. yigongense +Athyrium medogense +Athyrium mehrae +Athyrium nakanoi +Athyrium nephrodioides +Athyrium nyalamense +Athyrium pectinatum +Athyrium puncticaule +Athyrium rhachidosorum +Athyrium rupicola +Athyrium schizochlamys +Athyrium sericellum +Athyrium silvicola +Athyrium subtriangulare +Athyrium tozanense +Athyrium vidalii +Athyrium wallichianum +Athyrium zayuense +Cornopteris latiloba +Cornopteris opaca +Deparia acuta +Deparia acuta var. bagaensis +Deparia boryana +Deparia dickasonii +Deparia heterophlebia +Deparia japonica +Deparia lancea +Deparia longipes +Deparia medogensis +Deparia petersenii +Deparia sichuanensis +Deparia sikkimensis +Deparia wilsonii +Deparia wilsonii var. muliensis +Diplazium alatum +Diplazium apicisorum +Diplazium bellum +Diplazium chittagongense +Diplazium dilatatum +Diplazium donianum +Diplazium esculentum +Diplazium esculentum var. pubescens +Diplazium forrestii +Diplazium giganteum +Diplazium glingense +Diplazium griffithii +Diplazium himalayense +Diplazium hirsutipes +Diplazium hirtipes +Diplazium latipinnulum +Diplazium laxifrons +Diplazium lobulosum +Diplazium maximum +Diplazium medogense +Diplazium multicaudatum +Diplazium muricatum +Diplazium namdaphaense +Diplazium nanolobum +Diplazium paleaceum +Diplazium panigrahianum +Diplazium pseudocrinipes +Diplazium sarojiniae +Diplazium sikkimense +Diplazium singhii +Diplazium spectabile +Diplazium squamigerum +Diplazium subdoederleinii +Diplazium subspectabile +Diplazium succulentum +Diplazium tibeticum +Diplazium tirapense +Diplazium viridissimum +Cyclogramma auriculata +Cyclogramma leveillei +Cyclogramma tibetica +Cyclosorus aridus +Cyclosorus articulatus +Cyclosorus crinipes +Cyclosorus dentatus +Cyclosorus evolutus +Cyclosorus gustavii +Cyclosorus jaculosus +Cyclosorus medogensis +Cyclosorus molliusculus +Cyclosorus papilio +Cyclosorus parasiticus +Cyclosorus procerus +Cyclosorus siamensis +Cyclosorus truncatus +Cyclosorus wulingshanensis +Glaphyropteridopsis erubescens +Leptogramma himalaica +Macrothelypteris ornata +Macrothelypteris torresiana +Metathelypteris flaccida +Metathelypteris uraiensis var. tibetica +Parathelypteris glanduligera +Phegopteris connectilis +Phegopteris tibetica +Pronephrium lakhimpurense +Pronephrium medogensis +Pronephrium nudatum +Pronephrium parishii +Pronephrium penangianum +Pronephrium triphyllum +Pseudocyclosorus canus +Pseudocyclosorus esquirolii +Pseudocyclosorus falcilobus +Pseudocyclosorus ornatipes +Pseudocyclosorus tibeticus +Pseudocyclosorus torrentis +Pseudocyclosorus tylodes +Pseudocyclosorus zayuensis +Pseudophegopteris aurita +Pseudophegopteris brevipes +Pseudophegopteris hirtirachis +Pseudophegopteris levingei +Pseudophegopteris microstegia +Pseudophegopteris pyrrhorhachis +Pseudophegopteris pyrrhorhachis var. glabrata +Pseudophegopteris rectangularis +Pseudophegopteris tibetana +Pseudophegopteris yigongensis +Pseudophegopteris zayuensis +Trigonospora caudipinna +Trigonospora ciliata +Hypodematium hirsutum +Leucostegia truncata +Arachniodes coniifolia +Arachniodes gigantea +Arachniodes simplicior +Arachniodes superba +Bolbitis angustipinna +Bolbitis costata +Bolbitis heteroclita +Bolbitis hookeriana +Bolbitis medogensis +Bolbitis sinensis +Bolbitis tibetica +Ctenitis subglandulosa +Cyrtomium anomophyllum +Cyrtomium caryotideum +Cyrtomium macrophyllum +Cyrtomium muticum +Cyrtomium omeiense +Dryopteris acutodentata +Dryopteris alpestris +Dryopteris annamensis +Dryopteris apiciflora +Dryopteris assamensis +Dryopteris atrata +Dryopteris barbigera +Dryopteris basisora +Dryopteris blanfordii +Dryopteris blanfordii subsp. nigrosquamosa +Dryopteris caroli-hopei +Dryopteris chrysocoma +Dryopteris clarkei +Dryopteris costalisora +Dryopteris cycadina +Dryopteris dickinsii +Dryopteris diffracta +Dryopteris fibrillosissima +Dryopteris fructuosa +Dryopteris goeringiana +Dryopteris heterolaena +Dryopteris himalaica +Dryopteris hirtipes +Dryopteris hookeriana +Dryopteris juxtaposita +Dryopteris komarovii +Dryopteris lachoongensis +Dryopteris lepidopoda +Dryopteris medogensis +Dryopteris neorosthornii +Dryopteris nobilis +Dryopteris nyingchiensis +Dryopteris paleolata +Dryopteris panda +Dryopteris peranema +Dryopteris pseudocaenopteris +Dryopteris pulcherrima +Dryopteris redactopinnata +Dryopteris scottii +Dryopteris serratodentata +Dryopteris sikkimensis +Dryopteris sinofibrillosa +Dryopteris sinonepalensis +Dryopteris sparsa +Dryopteris splendens +Dryopteris squamifera +Dryopteris squamiseta +Dryopteris stenolepis +Dryopteris subimpressa +Dryopteris sublacera +Dryopteris subtriangularis +Dryopteris tingiensis +Dryopteris transmorrisonensis +Dryopteris wallichiana +Dryopteris woodsiisora +Dryopteris wuzhaohongii +Dryopteris yigongensis +Dryopteris zayuensis +Elaphoglossum marginatum +Elaphoglossum stelligerum +Elaphoglossum yunnanense +Lomagramma medogensis +Lomagramma sorbifolia +Lomagramma yunnanensis +Pleocnemia winitii +Polystichum acanthophyllum +Polystichum acutidens +Polystichum arcuatum +Polystichum atkinsonii +Polystichum bakerianum +Polystichum biaristatum +Polystichum bomiense +Polystichum braunii +Polystichum capillipes +Polystichum castaneum +Polystichum cyclolobum +Polystichum discretum +Polystichum duthiei +Polystichum garhwalicum +Polystichum glaciale +Polystichum gongboense +Polystichum hecatopterum +Polystichum hookerianum +Polystichum lachenense +Polystichum lentum +Polystichum longidens +Polystichum longipaleatum +Polystichum makinoi +Polystichum mayebarae +Polystichum mehrae +Polystichum microchlamys +Polystichum mollissimum +Polystichum moupinense +Polystichum neolobatum +Polystichum nepalense +Polystichum nudisorum +Polystichum orientalitibeticum +Polystichum otophorum +Polystichum paramoupinense +Polystichum pianmaense +Polystichum piceopaleaceum +Polystichum prescottianum +Polystichum pseudocastaneum +Polystichum punctiferum +Polystichum qamdoense +Polystichum rhombiforme +Polystichum scariosum +Polystichum semifertile +Polystichum shensiense +Polystichum sinense +Polystichum squarrosum +Polystichum stenophyllum +Polystichum stimulans +Polystichum submite +Polystichum tangmaiense +Polystichum thomsonii +Polystichum tibeticum +Polystichum tsus-simense +Polystichum wattii +Polystichum yadongense +Polystichum yigongense +Polystichum yunnanense +Polystichum zayuense +Nephrolepis biserrata +Nephrolepis brownii +Nephrolepis cordifolia +Tectaria coadunata +Tectaria decurrens +Tectaria dubia +Tectaria griffithii +Tectaria ingens +Tectaria polymorpha +Tectaria vasta +Oleandra neriiformis +Oleandra wallichii +Araiostegia faberiana +Davallia assamica +Davallia divaricata +Davallia griffithiana +Davallia hookeri +Davallia multidentata +Davallia perdurans +Davallia pulchra +Davallia repens +Davallia trichomanoides +Arthromeris caudata +Arthromeris himalayensis var. niphoboloides +Arthromeris medogensis +Arthromeris salicifolia +Bosmania membranacea +Ctenopteris subfalcata +Drynaria baronii +Drynaria coronans +Drynaria delavayi +Drynaria mollis +Drynaria parishii +Drynaria propinqua +Goniophlebium amoenum +Goniophlebium amoenum var. pilosum +Goniophlebium argutum +Goniophlebium chinense +Goniophlebium hendersonii +Goniophlebium lachnopus +Goniophlebium manmeiense +Goniophlebium microrhizoma +Goniophlebium niponicum +Goniophlebium subamoenum +Goniophlebium wattii +Lemmaphyllum microphyllum +Lepisorus angustus +Lepisorus asterolepis +Lepisorus bicolor +Lepisorus buergerianus +Lepisorus carnosus +Lepisorus cespitosus +Lepisorus clathratus +Lepisorus contortus +Lepisorus eilophyllus +Lepisorus ensatus +Lepisorus fortunei +Lepisorus gyriongensis +Lepisorus jakonensis +Lepisorus likiangensis +Lepisorus lineariformis +Lepisorus loriformis +Lepisorus loriformis var. steniste +Lepisorus macrosphaerus +Lepisorus maculosus +Lepisorus medogensis +Lepisorus miyoshianus +Lepisorus morrisonensis +Lepisorus mucronatus +Lepisorus normalis +Lepisorus nudus +Lepisorus oligolepidus +Lepisorus pseudonudus +Lepisorus rostratus +Lepisorus scolopendrium +Lepisorus sinuatus +Lepisorus sordidus +Lepisorus soulieanus +Lepisorus subconfluens +Lepisorus superficialis +Lepisorus thunbergianus +Lepisorus tibeticus +Lepisorus tosaensis +Lepisorus tricholepis +Lepisorus variabilis +Lepisorus waltonii +Lepisorus zippelii +Leptochilus axillaris +Leptochilus decurrens +Leptochilus ellipticus +Leptochilus hemionitideus +Leptochilus pedunculatus +Leptochilus pteropus +Loxogramme chinensis +Loxogramme cuspidata +Loxogramme duclouxii +Loxogramme grammitoides +Loxogramme involuta +Loxogramme lankokiensis +Loxogramme porcata +Micropolypodium sikkimense +Microsorum cuspidatum +Microsorum insigne +Microsorum punctatum +Phymatopteris similis +Platygyria × inaequibasis +Pyrrosia adnascens +Pyrrosia boothii +Pyrrosia calvata +Pyrrosia costata +Pyrrosia davidii +Pyrrosia drakeana +Pyrrosia ensata +Pyrrosia flocculosa +Pyrrosia heteractis +Pyrrosia lanceolata +Pyrrosia lingua +Pyrrosia longifolia +Pyrrosia mannii +Pyrrosia mollis +Pyrrosia porosa +Pyrrosia stenophylla +Pyrrosia stigmosa +Pyrrosia subfurfuracea +Selliguea albidoglauca +Selliguea capitellata +Selliguea chrysotricha +Selliguea conjuncta +Selliguea crenatopinnata +Selliguea dareiformis +Selliguea ebenipes +Selliguea ebenipes var. oakesii +Selliguea elegans +Selliguea erythrocarpa +Selliguea glaucopsis +Selliguea griffithiana +Selliguea hastata +Selliguea himalayensis +Selliguea intermedia +Selliguea lehmannii +Selliguea lui +Selliguea mairei +Selliguea malacodon +Selliguea nigrovenia +Selliguea obtusa +Selliguea oxyloba +Selliguea quasidivaricata +Selliguea rhynchophylla +Selliguea senanensis +Selliguea stewartii +Selliguea stracheyi +Selliguea tatsienensis +Selliguea tenuicauda +Selliguea tibetana +Selliguea trisecta +Selliguea wardii +Selliguea wusugongii +Tomophyllum donianum +Podocarpus neriifolius +Cryptomeria japonica var. sinensis +Cunninghamia lanceolata +Cupressus duclouxiana +Cupressus funebris +Cupressus gigantea +Cupressus rushforthii +Cupressus torulosa +Juniperus communis var. saxatilis +Juniperus convallium +Juniperus coxii +Juniperus formosana +Juniperus indica +Juniperus indica var. caespitosa +Juniperus jarkendensis +Juniperus microsperma +Juniperus pingii +Juniperus pingii var. miehei +Juniperus pingii var. wilsonii +Juniperus recurva +Juniperus sabina +Juniperus saltuaria +Juniperus semiglobosa +Juniperus squamata +Juniperus tibetica +Platycladus orientalis +Amentotaxus argotaenia +Cephalotaxus hainanensis +Cephalotaxus mannii +Taxus contorta +Taxus wallichiana +Torreya yunnanensis +Abies balsamea +Abies chayuensis +Abies delavayi +Abies delavayi var. motuoensis +Abies densa +Abies ernestii +Abies ernestii var. salouenensis +Abies fordei +Abies forrestii +Abies georgei +Abies georgei var. smithii +Abies recurvata +Abies spectabilis +Abies squamata +Cedrus deodara +Larix griffithii +Larix himalaica +Larix kongboensis +Larix potaninii var. australis +Larix potaninii var. macrocarpa +Larix speciosa +Picea brachytyla +Picea brachytyla var. complanata +Picea likiangensis +Picea likiangensis var. hirtella +Picea likiangensis var. linzhiensis +Picea likiangensis var. rubescens +Picea purpurea +Picea smithiana +Picea spinulosa +Pinus armandii +Pinus arunachalensis +Pinus bhutanica +Pinus densata +Pinus gerardiana +Pinus kesiya +Pinus ravii +Pinus roxburghii +Pinus wallichiana +Pinus yunnanensis +Pseudotsuga forrestii +Tsuga dumosa +Ephedra chengiae +Ephedra chengiae var. spinosa +Ephedra gerardiana +Ephedra intermedia +Ephedra likiangensis +Ephedra monosperma +Ephedra rituensis +Ephedra saxatilis +Gnetum montanum +Gnetum pendulum +Nymphaea alba +Nymphaea alba var. rubra +Nymphaea nouchali +Nymphaea rubra +Nymphaea tetragona +Illicium burmanicum +Illicium griffithii +Illicium simonsii +Illicium wardii +Kadsura heteroclita +Schisandra elongata +Schisandra grandiflora +Schisandra henryi +Schisandra henryi subsp. yunnanensis +Schisandra neglecta +Schisandra plena +Schisandra propinqua +Schisandra propinqua subsp. intermedia +Schisandra propinqua subsp. sinensis +Schisandra pubinervis +Schisandra rubriflora +Schisandra sphaerandra +Schisandra tomentella +Houttuynia cordata +Peperomia heyneana +Peperomia pellucida +Peperomia tetraphylla +Piper arunachalense +Piper betle +Piper betleoides +Piper boehmeriifolium +Piper curtistipes +Piper diffusum +Piper griffithii +Piper hancei +Piper haridasanii +Piper hymenophyllum +Piper indicum +Piper infossum +Piper infossum var. nudum +Piper kadsura +Piper longum +Piper macropodum +Piper makruense +Piper mullesua +Piper nigrum +Piper nirjulianum +Piper pedicellatum +Piper peepuloides +Piper peltatifolium +Piper petiolatum +Piper pseudopedicellatum +Piper rhytidocarpum +Piper sarmentosum +Piper semiimmersum +Piper suipigua +Piper sumatranum +Piper sylvaticum +Piper thomsonii +Aristolochia assamica +Aristolochia indica +Aristolochia platanifolia +Aristolochia rethyae +Aristolochia tagala +Aristolochia wardiana +Asarum caudigerum +Asarum himalaicum +Isotrema cathcartii +Isotrema griffithii +Isotrema saccatum +Isotrema wuanum +Saruma henryi +Horsfieldia amygdalina +Horsfieldia kingii +Knema lenta +Knema linifolia +Alcimandra cathcartii +Houpoea rostrata +Magnolia grandiflora +Magnolia griffithii +Magnolia gustavii +Magnolia kingii +Magnolia mannii +Magnolia oblonga +Magnolia pealiana +Magnolia pleiocarpa +Magnolia pterocarpa +Magnolia punduana +Magnolia rabaniana +Manglietia caveana +Manglietia hookeri +Manglietia insignis +Michelia × alba +Michelia champaca +Michelia chapensis +Michelia doltsopa +Michelia floribunda +Michelia kisopa +Michelia velutina +Oyama globosa +Oyama sinensis +Parakmeria nitida +Talauma hodgsonii +Yulania campbellii +Alphonsea lutea +Alphonsea ventricosa +Annona reticulata +Annona squamosa +Artabotrys caudatus +Dasymaschalon longiflorum +Dasymaschalon rostratum +Dasymaschalon tibetense +Desmos chinensis +Fissistigma balansae +Fissistigma bicolor +Fissistigma polyanthoides +Fissistigma polyanthum +Fissistigma retusum +Fissistigma rubiginosum +Friesodielsia fornicata +Goniothalamus simonsii +Huberantha cerasoides +Meiogyne arunachalensis +Miliusa dioeca +Miliusa macrocarpa +Miliusa sclerocarpa +Miliusa tenuistipitata +Mitrephora harae +Mitrephora tomentosa +Monoon longifolium +Monoon simiarum +Polyalthia suberosa +Polyalthiopsis chinensis +Polyalthiopsis verrucipes +Trivalvaria argentea +Uvaria dioeca +Wuodendron praecox +Illigera khasiana +Actinodaphne forrestii +Actinodaphne obovata +Actinodaphne sikkimensis +Alseodaphnopsis andersonii +Alseodaphnopsis petiolaris +Beilschmiedia assamica +Beilschmiedia brandisii +Beilschmiedia cylindrica +Beilschmiedia robusta +Beilschmiedia roxburghiana +Beilschmiedia rufohirtella +Cinnamomum bejolghota +Cinnamomum camphora +Cinnamomum contractum +Cinnamomum glanduliferum +Cinnamomum iners +Cinnamomum lohitensis +Cinnamomum pauciflorum +Cinnamomum sanjappae +Cinnamomum subavenium +Cinnamomum tamala +Cinnamomum wilsonii +Cryptocarya amygdalina +Cryptocarya burkillii +Dehaasia arunachalensis +Dodecadenia grandiflora +Iteadaphne caudata +Lindera communis +Lindera glauca +Lindera gracilipes +Lindera kariensis +Lindera latifolia +Lindera longipedunculata +Lindera megaphylla +Lindera meisneri +Lindera melastomacea +Lindera motuoensis +Lindera nacusua +Lindera neesiana +Lindera obtusiloba +Lindera obtusiloba var. heterophylla +Lindera pulcherrima +Lindera pulcherrima var. hemsleyana +Lindera sanjappae +Lindera thomsonii +Lindera tienchuanensis +Lindera varmae +Lindera villipes +Litsea albescens +Litsea balansae +Litsea biflora +Litsea chengshuzhii +Litsea coelestis +Litsea cubeba +Litsea depressa +Litsea elongata +Litsea glutinosa +Litsea gongshanensis +Litsea khasyana +Litsea kingii +Litsea kurzii +Litsea laeta +Litsea lancifolia +Litsea liboshengii +Litsea longistaminata +Litsea membranifolia +Litsea mishmiensis +Litsea mollis +Litsea monopetala +Litsea moupinensis +Litsea nitida +Litsea populifolia +Litsea pungens +Litsea rangoonensis +Litsea robusta +Litsea rubescens +Litsea rubescens var. yunnanensis +Litsea salicifolia +Litsea sericea +Litsea taronensis +Litsea tibetana +Litsea vang var. lobata +Litsea veitchiana +Machilus chayuensis +Machilus clarkeana +Machilus duthiei +Machilus edulis +Machilus forrestii +Machilus gamblei +Machilus kurzii +Machilus listeri +Machilus montana +Machilus nanmu +Machilus obscurinervis +Machilus odoratissimus +Machilus ovatiloba +Machilus parviflora +Machilus robusta +Machilus rufipes +Machilus shweliensis +Machilus villosa +Machilus viridis +Machilus yunnanensis +Machilus yunnanensis var. tibetana +Neocinnamomum caudatum +Neocinnamomum delavayi +Neocinnamomum mekongense +Neolitsea aurata var. glauca +Neolitsea cassia +Neolitsea chrysotricha +Neolitsea conigemma +Neolitsea cuipala +Neolitsea foliosa +Neolitsea homilantha +Neolitsea levinei +Neolitsea levinei var. tibetica +Neolitsea pallens +Neolitsea polycarpa +Neolitsea sanjappae +Neolitsea sutchuanensis +Parasassafras confertiflorum +Phoebe attenuata +Phoebe baishyae +Phoebe bootanica +Phoebe cathia +Phoebe cavaleriei +Phoebe glaucifolia +Phoebe hedgei +Phoebe lanceolata +Phoebe motuonan +Phoebe pallida +Sinosassafras flavinervium +Chloranthus erectus +Chloranthus spicatus +Sarcandra glabra +Acorus calamus +Acorus gramineus +Aglaonema hookerianum +Alocasia cucullata +Alocasia fallax +Alocasia fornicata +Alocasia macrorrhizos +Alocasia odora +Amorphophallus bognerianus +Amorphophallus bulbifer +Amorphophallus commutatus +Amorphophallus kachinensis +Amorphophallus paeoniifolius +Ariopsis peltata +Arisaema anatinum +Arisaema bonatianum +Arisaema candidissimum +Arisaema concinnum +Arisaema costatum +Arisaema decipiens +Arisaema echinatum +Arisaema elephas +Arisaema erubescens +Arisaema exappendiculatum +Arisaema flavum +Arisaema flavum subsp. tibeticum +Arisaema galeatum +Arisaema griffithii +Arisaema handelii +Arisaema intermedium +Arisaema jacquemontii +Arisaema lobatum +Arisaema nepenthoides +Arisaema parvum +Arisaema petiolulatum +Arisaema propinquum +Arisaema setosum +Arisaema smitinandii +Arisaema speciosum +Arisaema tortuosum +Arisaema utile +Arisaema vexillatum +Arisaema wardii +Arisaema wattii +Colocasia affinis +Colocasia antiquorum +Colocasia boyceana +Colocasia dibangensis +Colocasia esculenta +Colocasia fallax +Colocasia mannii +Epipremnum aureum +Epipremnum pinnatum +Homalomena aromatica +Homalomena pendula +Lagenandra undulata +Landoltia punctata +Lasia spinosa +Lemna aequinoctialis +Lemna minor +Pinellia ternata +Pistia stratiotes +Pothos chinensis +Pothos junghuhnii +Pothos macrocephalus +Pothos repens +Pothos scandens +Remusatia hookeriana +Remusatia pumila +Remusatia vivipara +Rhaphidophora calophylla +Rhaphidophora crassicaulis +Rhaphidophora decursiva +Rhaphidophora dulongensis +Rhaphidophora glauca +Rhaphidophora hongkongensis +Rhaphidophora hookeri +Rhaphidophora korthalsii +Rhaphidophora luchunensis +Rhaphidophora peepla +Sauromatum brevipes +Sauromatum diversifolium +Sauromatum giganteum +Sauromatum venosum +Scindapsus officinalis +Spirodela polyrhiza +Steudnera assamica +Steudnera capitellata +Steudnera discolor +Steudnera griffithii +Typhonium flagelliforme +Typhonium trilobatum +Wolffia arrhiza +Zantedeschia aethiopica +Tofieldia divergens +Tofieldia himalaica +Alisma plantago-aquatica +Sagittaria guayanensis subsp. lappula +Sagittaria pygmaea +Sagittaria tengtsungensis +Sagittaria trifolia +Blyxa echinosperma +Hydrilla verticillata +Najas minor +Ottelia alismoides +Vallisneria natans +Aponogeton lakhonensis +Triglochin maritima +Triglochin palustris +Potamogeton crispus +Potamogeton distinctus +Potamogeton gramineus +Potamogeton maackianus +Potamogeton natans +Potamogeton nodosus +Potamogeton octandrus +Potamogeton oxyphyllus +Potamogeton perfoliatus +Potamogeton pusillus +Stuckenia filiformis +Stuckenia pamirica +Stuckenia pectinata +Zannichellia palustris +Petrosavia sakuraii +Aletris alpestris +Aletris glabra +Aletris gracilis +Aletris laxiflora +Aletris nana +Aletris pauciflora +Aletris pauciflora var. khasiana +Aletris simpliciflora +Dioscorea alata +Dioscorea althaeoides +Dioscorea belophylla +Dioscorea bulbifera +Dioscorea cirrhosa +Dioscorea cumingii +Dioscorea deltoidea +Dioscorea esculenta +Dioscorea glabra +Dioscorea hamiltonii +Dioscorea hispida +Dioscorea japonica +Dioscorea kamoonensis +Dioscorea laurifolia +Dioscorea lepcharum +Dioscorea listeri +Dioscorea melanophyma +Dioscorea nitens +Dioscorea oppositifolia +Dioscorea pentaphylla +Dioscorea prazeri +Dioscorea pubera +Dioscorea scortechinii +Dioscorea wattii +Dioscorea xizangensis +Tacca chantrieri +Tacca integrifolia +Acanthochlamys bracteata +Stemona tuberosa +Pandanus martinianus +Pandanus urophyllus +Paris forrestii +Paris japonica +Paris mairei +Paris marmorata +Paris polyphylla +Paris polyphylla var. stenophylla +Paris thibetica +Paris verticillata +Paris yunnanensis +Trillium govanianum +Trillium tschonoskii +Ypsilandra alpina +Ypsilandra yunnanensis +Disporum bodinieri +Disporum calcaratum +Disporum cantoniense +Disporum longistylum +Disporum uniflorum +Iphigenia indica +Smilax aberrans +Smilax arisanensis +Smilax aspera +Smilax aspericaulis +Smilax biumbellata +Smilax elegans +Smilax ferox +Smilax griffithii +Smilax japonica +Smilax lanceifolia +Smilax longebracteolata +Smilax mairei +Smilax megacarpa +Smilax menispermoidea +Smilax microphylla +Smilax minutiflora +Smilax munita +Smilax myrtillus +Smilax nana +Smilax ocreata +Smilax ovalifolia +Smilax perfoliata +Smilax quadrata +Smilax retroflexa +Smilax stans +Cardiocrinum giganteum +Clintonia udensis +Fritillaria cirrhosa +Fritillaria delavayi +Fritillaria fusca +Fritillaria przewalskii +Fritillaria sichuanica +Gagea flavonutans +Gagea pauciflora +Gagea serotina +Lilium apertum +Lilium basilissum +Lilium brevistylum +Lilium brownii +Lilium duchartrei +Lilium lancifolium +Lilium lankongense +Lilium lophophorum +Lilium lophophorum var. linearifolium +Lilium medogense +Lilium nanum +Lilium nanum var. brevistylum +Lilium nanum var. flavidum +Lilium nepalense +Lilium paradoxum +Lilium saccatum +Lilium saluenense +Lilium souliei +Lilium stewartianum +Lilium synapticum +Lilium taliense +Lilium wallichianum +Lilium wardii +Lilium yapingense +Lloydia ixiolirioides +Lloydia nana +Lloydia oxycarpa +Lloydia tibetica +Notholirion bulbuliferum +Notholirion campanulatum +Notholirion macrophyllum +Streptopus koreanus +Streptopus parviflorus +Streptopus simplex +Tricyrtis pilosa +Acampe ochracea +Acampe praemorsa +Acampe rigida +Acanthephippium striatum +Acanthephippium sylhetense +Aerides falcata +Aerides odorata +Aerides rosea +Agrostophyllum brevipes +Agrostophyllum callosum +Agrostophyllum myrianthum +Agrostophyllum planicaule +Androcorys ophioglossoides +Androcorys pugioniformis +Androcorys spiralis +Ania penangiana +Anoectochilus brevilabris +Anoectochilus medogensis +Anoectochilus roxburghii +Anthogonium gracile +Aphyllorchis alpina +Aphyllorchis gollanii +Aphyllorchis montana +Apostasia odorata +Apostasia wallichii +Arachnis flos-aeris +Arachnis labrosa +Arundina graminifolia +Ascocentrum ampullaceum +Ascocentrum curvifolium +Ascocentrum semiteretifolium +Bhutanthera albomarginata +Biermannia arunachalensis +Biermannia bimaculata +Biermannia jainiana +Bletilla formosana +Brachycorythis iantha +Brachycorythis obcordata +Bulbophyllum acutiflorum +Bulbophyllum affine +Bulbophyllum amplifolium +Bulbophyllum andersonii +Bulbophyllum apodum +Bulbophyllum arunachalense +Bulbophyllum basiflorum +Bulbophyllum bisetum +Bulbophyllum bomiense +Bulbophyllum brevispicatum +Bulbophyllum brienianum +Bulbophyllum capillipes +Bulbophyllum cariniflorum +Bulbophyllum caudatum +Bulbophyllum cauliflorum +Bulbophyllum cornu-cervi +Bulbophyllum crassipes +Bulbophyllum cupreum +Bulbophyllum cylindraceum +Bulbophyllum deergongense +Bulbophyllum delitescens +Bulbophyllum depressum +Bulbophyllum elatum +Bulbophyllum emarginatum +Bulbophyllum eublepharum +Bulbophyllum fischeri +Bulbophyllum forrestii +Bulbophyllum gamblei +Bulbophyllum gedangense +Bulbophyllum griffithii +Bulbophyllum guttulatum +Bulbophyllum gymnopus +Bulbophyllum helenae +Bulbophyllum hirtum +Bulbophyllum hymenanthum +Bulbophyllum jainii +Bulbophyllum khasyanum +Bulbophyllum kingii +Bulbophyllum leopardinum +Bulbophyllum levinei +Bulbophyllum lingii +Bulbophyllum linzhiense +Bulbophyllum lobbii +Bulbophyllum longiflorum +Bulbophyllum macraei +Bulbophyllum menglunense +Bulbophyllum muscicola +Bulbophyllum nasutum +Bulbophyllum nodosum +Bulbophyllum nujiangense +Bulbophyllum odoratissimum +Bulbophyllum ornatissimum +Bulbophyllum parviflorum +Bulbophyllum penicillium +Bulbophyllum pentaneurum +Bulbophyllum pilopetalum +Bulbophyllum piluliferum +Bulbophyllum polyrrhizum +Bulbophyllum protractum +Bulbophyllum pteroglossum +Bulbophyllum purpureofuscum +Bulbophyllum reflexipetalum +Bulbophyllum repens +Bulbophyllum reptans +Bulbophyllum retusiusculum +Bulbophyllum retusum +Bulbophyllum rigidum +Bulbophyllum rolfei +Bulbophyllum roxburghii +Bulbophyllum sarcophylloides +Bulbophyllum sarcophyllum +Bulbophyllum scabratum +Bulbophyllum secundum +Bulbophyllum shweliense +Bulbophyllum spathulatum +Bulbophyllum stenobulbon +Bulbophyllum sterile +Bulbophyllum stocksii +Bulbophyllum striatum +Bulbophyllum tigridum +Bulbophyllum tortuosum +Bulbophyllum triste +Bulbophyllum trongsaense +Bulbophyllum umbellatum +Bulbophyllum virens +Bulbophyllum wallichii +Bulbophyllum yarlungzangboense +Bulleyia yunnanensis +Calanthe × yarlungzangboensis +Calanthe alismatifolia +Calanthe alismifolia +Calanthe alpina +Calanthe arcuata +Calanthe biloba +Calanthe brevicornu +Calanthe chloroleuca +Calanthe clavata +Calanthe davidii +Calanthe delavayi +Calanthe densiflora +Calanthe griffithii +Calanthe herbacea +Calanthe lechangensis +Calanthe lyroglossa +Calanthe mannii +Calanthe metoensis +Calanthe nipponica +Calanthe odora +Calanthe plantaginea +Calanthe puberula +Calanthe reflexa +Calanthe sylvatica +Calanthe tricarinata +Calanthe triplicata +Calanthe trulliformis +Calanthe velutina +Calanthe whiteana +Callostylis bambusifolia +Callostylis rigida +Cephalanthera damasonium +Cephalanthera erecta +Cephalanthera longifolia +Cephalantheropsis halconensis +Cephalantheropsis longipes +Cephalantheropsis obcordata +Ceratostylis himalaica +Ceratostylis radiata +Ceratostylis siamensis +Ceratostylis subulata +Cestichis cespitosa +Cestichis pingtaoi +Chamaegastrodia inverta +Chamaegastrodia shikokiana +Cheirostylis chinensis +Cheirostylis griffithii +Cheirostylis gunnarii +Cheirostylis moniliformis +Cheirostylis sessanica +Cheirostylis tippica +Cheirostylis yunnanensis +Chiloschista densiflora +Chiloschista parishii +Chiloschista yunnanensis +Chrysoglossum assamicum +Chrysoglossum ornatum +Cionisaccus procera +Cleisocentron pallens +Cleisostoma appendiculatum +Cleisostoma aspersum +Cleisostoma discolor +Cleisostoma filiforme +Cleisostoma linearilobatum +Cleisostoma medogense +Cleisostoma paniculatum +Cleisostoma racemiferum +Cleisostoma simondii +Cleisostoma striatum +Cleisostoma subulatum +Cleisostoma tricallosum +Cleisostoma williamsonii +Cleisostomopsis roseus +Coelogyne assamica +Coelogyne barbata +Coelogyne calcicola +Coelogyne corymbosa +Coelogyne cristata +Coelogyne fimbriata +Coelogyne flaccida +Coelogyne fuscescens +Coelogyne griffithii +Coelogyne holochila +Coelogyne katakiana +Coelogyne longipes +Coelogyne micrantha +Coelogyne mishmensis +Coelogyne nitida +Coelogyne occultata +Coelogyne ovalis +Coelogyne prolifera +Coelogyne punctulata +Coelogyne pygmaea +Coelogyne radicosa +Coelogyne raizadae +Coelogyne rigida +Coelogyne schultesii +Coelogyne stricta +Coelogyne suaveolens +Coelogyne viscosa +Coelogyne wattii +Collabium assamicum +Collabium chinense +Conchidium muscicola +Conchidium pusillum +Corallorhiza trifida +Corybas himalaicus +Corybas taliensis +Corymborkis veratrifolia +Cottonia peduncularis +Cremastra appendiculata +Crepidium acuminatum +Crepidium aphyllum +Crepidium calophyllum +Crepidium josephianum +Crepidium khasianum +Crepidium purpureum +Cryptochilus acuminatus +Cryptochilus luteus +Cryptochilus sanguineus +Cylindrolobus arunachalensis +Cylindrolobus biflorus +Cylindrolobus clavicaulis +Cylindrolobus cristatus +Cylindrolobus glabriflorus +Cylindrolobus gloensis +Cylindrolobus hegdei +Cylindrolobus lohitensis +Cylindrolobus marginatus +Cylindrolobus motuoensis +Cylindrolobus tenuicaulis +Cymbidium × gammieanum +Cymbidium aloifolium +Cymbidium cochleare +Cymbidium cyperifolium +Cymbidium cyperifolium var. szechuanicum +Cymbidium dayanum +Cymbidium devonianum +Cymbidium eburneum +Cymbidium elegans +Cymbidium ensifolium +Cymbidium erythraeum +Cymbidium faberi +Cymbidium floribundum +Cymbidium goeringii +Cymbidium hookerianum +Cymbidium iridioides +Cymbidium kanran +Cymbidium lancifolium +Cymbidium lowianum +Cymbidium macrorhizon +Cymbidium mannii +Cymbidium mastersii +Cymbidium motuoense +Cymbidium sinense +Cymbidium tigrinum +Cymbidium tracyanum +Cymbidium wilsonii +Cymbilabia undulata +Cypripedium bardolphianum +Cypripedium cordigerum +Cypripedium elegans +Cypripedium farreri +Cypripedium fasciolatum +Cypripedium flavum +Cypripedium franchetii +Cypripedium guttatum +Cypripedium himalaicum +Cypripedium ludlowii +Cypripedium micranthum +Cypripedium plectrochilum +Cypripedium subtropicum +Cypripedium tibeticum +Cypripedium wardii +Cyrtosia javanica +Dactylorhiza hatagirea +Dactylorhiza viridis +Dendrobium × vexabile +Dendrobium aduncum +Dendrobium amoenum +Dendrobium anceps +Dendrobium aphyllum +Dendrobium arunachalense +Dendrobium bicameratum +Dendrobium catenatum +Dendrobium chrysanthum +Dendrobium chrysotoxum +Dendrobium crepidatum +Dendrobium cumulatum +Dendrobium densiflorum +Dendrobium denudans +Dendrobium devonianum +Dendrobium falconeri +Dendrobium farmeri +Dendrobium fimbriatum +Dendrobium formosum +Dendrobium forrestii +Dendrobium fugax +Dendrobium gibsonii +Dendrobium gratiosissimum +Dendrobium henryi +Dendrobium heterocarpum +Dendrobium hookerianum +Dendrobium jenkinsii +Dendrobium khasianum +Dendrobium lindleyi +Dendrobium lituiflorum +Dendrobium longicornu +Dendrobium macraei +Dendrobium macrostachyum +Dendrobium mannii +Dendrobium moniliforme +Dendrobium monticola +Dendrobium moschatum +Dendrobium nareshbahadurii +Dendrobium nobile +Dendrobium numaldeorii +Dendrobium palpebrae +Dendrobium parciflorum +Dendrobium parishii +Dendrobium pendulum +Dendrobium polyanthum +Dendrobium porphyrochilum +Dendrobium praecinctum +Dendrobium pulchellum +Dendrobium ruckeri +Dendrobium salaccense +Dendrobium sessanicum +Dendrobium spatella +Dendrobium strongylanthum +Dendrobium stuposum +Dendrobium subansiriense +Dendrobium sulcatum +Dendrobium terminale +Dendrobium thyrsiflorum +Dendrobium transparens +Dendrobium vexabile +Dendrobium wardianum +Dendrolirium ferrugineum +Dendrolirium kamlangensis +Dendrolirium lasiopetalum +Dendrolirium tomentosum +Didymoplexis pallens +Dienia cylindrostachya +Dienia ophrydis +Diglyphosa latifolia +Diplomeris hirsuta +Diplomeris josephi +Diplomeris pulchella +Diploprora championii +Diploprora truncata +Epigeneium amplum +Epigeneium clemensiae +Epigeneium fargesii +Epigeneium fuscescens +Epigeneium rotundatum +Epigeneium treutleri +Epipactis helleborine +Epipactis mairei +Epipactis veratrifolia +Epipogium aphyllum +Epipogium japonicum +Epipogium roseum +Eria bancana +Eria clausa +Eria corneri +Eria coronaria +Eria gagnepainii +Eria javanica +Eria kamlangensis +Eria medogensis +Eria paniculata +Eria pudica +Eria vittata +Eriodes barbata +Erythrodes hirsuta +Esmeralda bella +Esmeralda cathcartii +Esmeralda clarkei +Eucosia viridiflora +Eulophia bicallosa +Eulophia dabia +Eulophia spectabilis +Eulophia zollingeri +Flickingeria albopurpurea +Flickingeria angustifolia +Flickingeria macraei +Flickingeria ritaeana +Galearis roborowskyi +Galearis spathulata +Galearis tschiliensis +Galearis wardii +Galeola cathcartii +Galeola faberi +Galeola falconeri +Galeola lindleyana +Galeola nudifolia +Gastrochilus acutifolius +Gastrochilus affinis +Gastrochilus arunachalensis +Gastrochilus calceolaris +Gastrochilus distichus +Gastrochilus intermedius +Gastrochilus linearifolius +Gastrochilus linzhiensis +Gastrochilus obliquus +Gastrochilus prionophyllus +Gastrochilus pseudodistichus +Gastrochilus rutilans +Gastrochilus sessanicus +Gastrochilus setosus +Gastrochilus xizangensis +Gastrochilus yunnanensis +Gastrodia arunachalensis +Gastrodia confusa +Gastrodia dyeriana +Gastrodia elata +Gastrodia flavilabella +Gastrodia mishmensis +Gastrodia putaoensis +Geodorum densiflorum +Goodyera biflora +Goodyera bomiensis +Goodyera brachystegia +Goodyera foliosa +Goodyera fusca +Goodyera hemsleyana +Goodyera hispida +Goodyera medogensis +Goodyera nankoensis +Goodyera recurva +Goodyera repens +Goodyera robusta +Goodyera schlechtendaliana +Goodyera vittata +Goodyera yunnanensis +Gymnadenia bicornis +Gymnadenia conopsea +Gymnadenia crassinervis +Gymnadenia orchidis +Habenaria acuifera +Habenaria aitchisonii +Habenaria arietina +Habenaria balfouriana +Habenaria davidii +Habenaria delavayi +Habenaria dentata +Habenaria digitata +Habenaria glaucifolia +Habenaria intermedia +Habenaria josephi +Habenaria linguella +Habenaria mairei +Habenaria pantlingiana +Habenaria pectinata +Habenaria stenopetala +Habenaria tibetica +Habenaria wolongensis +Hemipilia cordifolia +Hemipilia flabellata +Hemipilia purpureopunctata +Herminium alaschanicum +Herminium chloranthum +Herminium clavigerum +Herminium coiloglossum +Herminium edgeworthii +Herminium humidicola +Herminium jaffreyanum +Herminium josephii +Herminium kamengense +Herminium lanceum +Herminium latilabre +Herminium longilobatum +Herminium macrophyllum +Herminium monophyllum +Herminium monorchis +Herminium motuoensis +Herminium ophioglossoides +Herminium quinquelobum +Herminium souliei +Herminium tibeticum +Herminium wangianum +Herpysma longicaulis +Hetaeria affinis +Hetaeria anomala +Holcoglossum himalaicum +Hsenhsua chrysea +Kuhlhasseltia yakushimensis +Liparis assamica +Liparis balansae +Liparis barbata +Liparis bistriata +Liparis bootanensis +Liparis campylostalix +Liparis cathcartii +Liparis chapaensis +Liparis cheniana +Liparis cordifolia +Liparis delicatula +Liparis distans +Liparis elliptica +Liparis gamblei +Liparis gigantea +Liparis glossula +Liparis luteola +Liparis mannii +Liparis nervosa +Liparis nigra +Liparis odorata +Liparis pauliana +Liparis perpusilla +Liparis petiolata +Liparis plantaginea +Liparis platyrachis +Liparis resupinata +Liparis rostrata +Liparis stricklandiana +Liparis viridiflora +Luisia brachystachys +Luisia filiformis +Luisia inconspicua +Luisia morsei +Luisia psyche +Luisia teretifolia +Luisia trichorrhiza +Luisia zeylanica +Malaxis monophyllos +Malaxis muscifera +Malleola tibetica +Micropera mannii +Micropera obtusa +Micropera rostrata +Micropera tibetica +Monomeria barbata +Mycaranthes floribunda +Mycaranthes pannea +Myrmechis japonica +Myrmechis pumila +Neogyna gardneriana +Neottia acuminata +Neottia alternifolia +Neottia bicallosa +Neottia confusa +Neottia dihangensis +Neottia divaricata +Neottia listeroides +Neottia longicaulis +Neottia milinensis +Neottia pinetorum +Neottia wardii +Nephelaphyllum cordifolium +Nephelaphyllum pulchrum var. sikkimensis +Nervilia aragoana +Nervilia gammieana +Nervilia hookeriana +Nervilia infundibulifolia +Nervilia juliana +Nervilia mackinnonii +Nervilia macroglossa +Oberonia acaulis +Oberonia acaulis var. latipetala +Oberonia anthropophora +Oberonia arunachalensis +Oberonia bopannae +Oberonia caulescens +Oberonia cavaleriei +Oberonia emarginata +Oberonia ensiformis +Oberonia falcata +Oberonia falconeri +Oberonia gammiei +Oberonia helferi +Oberonia jenkinsiana +Oberonia jhae +Oberonia kamlangensis +Oberonia kwangsiensis +Oberonia langbianensis +Oberonia latipetala +Oberonia longibracteata +Oberonia mannii +Oberonia maxima +Oberonia mucronata +Oberonia obcordata +Oberonia pachyrachis +Oberonia prainiana +Oberonia pumilio +Oberonia pyrulifera +Oberonia recurva +Oberonia rufilabris +Odontochilus brevistylis +Odontochilus clarkei +Odontochilus crispus +Odontochilus elwesii +Odontochilus grandiflorus +Odontochilus lanceolatus +Odontochilus poilanei +Odontochilus tortus +Oreorchis erythrochrysea +Oreorchis foliosa +Oreorchis foliosa var. indica +Oreorchis micrantha +Oreorchis nana +Oreorchis nepalensis +Oreorchis patens +Oreorchis yachangensis +Ornithochilus difformis +Otochilus albus +Otochilus fuscus +Otochilus lancilabius +Otochilus porrectus +Pachystoma pubescens +Panisea demissa +Panisea panchaseensis +Panisea tricallosa +Panisea yunnanensis +Paphiopedilum fairrieanum +Paphiopedilum micranthum +Paphiopedilum venustum +Paphiopedilum wardii +Papilionanthe teres +Papilionanthe uniflora +Papilionanthe vandarum +Pecteilis susannae +Pennilabium proboscideum +Pennilabium struthio +Peristylus affinis +Peristylus biermannianus +Peristylus coeloceras +Peristylus elisabethae +Peristylus fallax +Peristylus forceps +Peristylus goodyeroides +Peristylus mannii +Peristylus prainii +Peristylus richardianus +Peristylus superanthus +Phaius flavus +Phaius mishmensis +Phaius tancarvilleae +Phaius wallichii +Phalaenopsis braceana +Phalaenopsis deliciosa +Phalaenopsis lobbii +Phalaenopsis mannii +Phalaenopsis marriottiana var. parishii +Phalaenopsis medogensis +Phalaenopsis parishii +Phalaenopsis taenialis +Phalaenopsis wilsonii +Pholidota articulata +Pholidota chinensis +Pholidota convallariae +Pholidota imbricata +Pholidota missionariorum +Pholidota pallida +Pholidota protracta +Pholidota rubra +Phreatia elegans +Pinalia acervata +Pinalia amica +Pinalia apertiflora +Pinalia bipunctata +Pinalia bractescens +Pinalia conferta +Pinalia connata +Pinalia excavata +Pinalia globulifera +Pinalia graminifolia +Pinalia pachyphylla +Pinalia pumila +Pinalia salwinensis +Pinalia sharmae +Pinalia spicata +Pinalia stricta +Platanthera arcuata +Platanthera bakeriana +Platanthera bhutanica +Platanthera chiloglossa +Platanthera chlorantha +Platanthera clavigera +Platanthera curvata +Platanthera densa +Platanthera dulongensis +Platanthera dyeriana +Platanthera exelliana +Platanthera handel-mazzettii +Platanthera juncea +Platanthera latilabris +Platanthera leptocaulon +Platanthera milinensis +Platanthera minutiflora +Platanthera nematocaulon +Platanthera opsimantha +Platanthera orbicularis +Platanthera roseotincta +Platanthera sikkimensis +Platanthera stenantha +Platanthera stenophylla +Platanthera urceolata +Platanthera yadongensis +Pleione arunachalensis +Pleione bulbocodioides +Pleione grandiflora +Pleione hookeriana +Pleione humilis +Pleione maculata +Pleione praecox +Pleione saxicola +Pleione scopulorum +Podochilus khasianus +Pogonia yunnanensis +Pomatocalpa armigerum +Pomatocalpa spicatum +Pomatocalpa undulatum +Ponerorchis chusua +Ponerorchis compacta +Ponerorchis cucullata +Ponerorchis cucullata var. calcicola +Ponerorchis farreri +Ponerorchis forrestii +Ponerorchis luteola +Ponerorchis monantha +Ponerorchis pulchella +Ponerorchis secundiflora +Ponerorchis tetraloba +Ponerorchis tibetica +Porpax elwesii +Porpax seidenfadenii +Pteroceras teres +Renanthera imschootiana +Rhomboda abbreviata +Rhomboda arunachalensis +Rhomboda moulmeinensis +Rhomboda tokioi +Rhynchostylis retusa +Risleya atropurpurea +Robiquetia arunachalensis +Robiquetia spathulata +Robiquetia succisa +Saccolabiopsis pusilla +Salacistis fumata +Salacistis rubicunda +Sarcoglyphis arunachalensis +Satyrium nepalense +Satyrium nepalense var. ciliatum +Schoenorchis gemmata +Schoenorchis mishmensis +Smitinandia micrantha +Spathoglottis arunachalensis +Spathoglottis ixioides +Spathoglottis plicata +Spathoglottis pubescens +Spiranthes flexuosa +Spiranthes sinensis +Stereochilus arunachalensis +Stereochilus hirtus +Stereosandra javanica +Sunipia andersonii +Sunipia bicolor +Sunipia candida +Sunipia intermedia +Sunipia nepalensis +Sunipia scariosa +Taeniophyllum arunachalense +Taeniophyllum crepidiforme +Taeniophyllum glandulosum +Taeniophyllum javanicum +Taeniophyllum retrospiculatum +Taeniophyllum stella +Taeniophyllum xizangense +Tainia dunnii +Tainia latifolia +Tainia minor +Thelasis khasiana +Thelasis longifolia +Thelasis pygmaea +Thrixspermum centipeda +Thrixspermum musciflorum +Thrixspermum pygmaeum +Thrixspermum saruwatarii +Thunia alba +Tipularia josephi +Tipularia josephii +Tipularia szechuanica +Trachoma rhopalorrhachis +Trias disciflora +Trichotosia dasyphylla +Trichotosia pulvinata +Trichotosia velutina +Tropidia angulosa +Tropidia curculigoides +Uncifera acuminata +Uncifera lancifolia +Uncifera obtusifolia +Vanda alpina +Vanda bicolor +Vanda brunnea +Vanda coerulescens +Vanda concolor +Vanda cristata +Vanda pumila +Vanda stangeana +Vanda testacea +Yoania prainii +Zeuxine agyokuana +Zeuxine flava +Zeuxine goodyeroides +Zeuxine lindleyana +Zeuxine longilabris +Zeuxine nervosa +Zeuxine parvifolia +Zeuxine strateumatica +Curculigo capitulata +Curculigo crassifolia +Curculigo orchioides +Curculigo prainiana +Hypoxis aurea +Belamcanda chinensis +Iris bulleyana +Iris chrysographes +Iris clarkei +Iris collettii +Iris cuniculiformis +Iris decora +Iris delavayi +Iris dolichosiphon subsp. orientalis +Iris farreri +Iris forrestii +Iris goniocarpa +Iris japonica +Iris kemaonensis +Iris lactea +Iris lactea var. chrysantha +Iris latistyla +Iris latistyla f. albiflora +Iris loczyi +Iris milesii +Iris potaninii +Iris ramsayi +Iris ruthenica +Iris speculatrix +Iris tectorum +Iris tenuifolia +Iris uniflora +Iris wattii +Iris zhaoana +Sisyrinchium rosulatum +Dianella ensifolia +Eremurus chinensis +Hemerocallis citrina +Hemerocallis fulva +Allium atrosanguineum +Allium atrosanguineum var. tibeticum +Allium beesianum +Allium carolinianum +Allium cepa +Allium changduense +Allium chrysanthum +Allium cyaneum +Allium cyathophorum +Allium eusperma +Allium farreri +Allium fasciculatum +Allium fistulosum +Allium forrestii +Allium hookeri +Allium jacquemontii +Allium kingdonii +Allium macranthum +Allium macrostemon +Allium mairei +Allium phariense +Allium prattii +Allium przewalskianum +Allium ramosum +Allium rhabdotum +Allium rude +Allium sativum +Allium sikkimense +Allium spicatum +Allium tanguticum +Allium thunbergii +Allium tuberosum +Allium wallichii +Crinum amoenum +Crinum latifolium +Crinum lorifolium +Crinum wattii +Zephyranthes candida +Zephyranthes carinata +Agave americana +Agave vera-cruz +Asparagus cochinchinensis +Asparagus filicinus +Asparagus longiflorus +Asparagus lycopodineus +Asparagus myriacanthus +Asparagus officinalis +Asparagus racemosus +Asparagus sichuanicus +Asparagus tibeticus +Chlorophytum arundinaceum +Chlorophytum nepalense +Dracaena angustifolia +Dracaena petiolata +Maianthemum atropurpureum +Maianthemum fuscum +Maianthemum fuscum var. cordatum +Maianthemum henryi +Maianthemum oleraceum +Maianthemum purpureum +Maianthemum tatsienense +Ophiopogon bodinieri +Ophiopogon clarkei +Ophiopogon dracaenoides +Ophiopogon intermedius +Ophiopogon megalanthus +Ophiopogon motouensis +Peliosanthes ligniradicis +Peliosanthes macrostegia +Peliosanthes sinica +Peliosanthes teta +Peliosanthes violacea +Polygonatum angelicum +Polygonatum autumnale +Polygonatum brevistylum +Polygonatum cathcartii +Polygonatum cirrhifolium +Polygonatum graminifolium +Polygonatum griffithii +Polygonatum hookeri +Polygonatum luteoverrucosum +Polygonatum nervulosum +Polygonatum oppositifolium +Polygonatum punctatum +Polygonatum undulatifolium +Polygonatum verticillatum +Polygonatum wardii +Rohdea aurantiaca +Rohdea delavayi +Rohdea eucomoides +Rohdea medogensis +Rohdea wattii +Theropogon pallidus +Tupistra clarkei +Tupistra nutans +Tupistra stoliczana +Tupistra stoliczkana +Arenga micrantha +Arenga pinnata +Arenga westerhoutii +Calamus acanthospathus +Calamus erectus +Calamus flagellum +Calamus floribundus +Calamus gracilis +Calamus inermis +Caryota maxima +Caryota obtusa +Cocos nucifera +Licuala peltata +Phoenix sylvestris +Pinanga baviensis +Pinanga gracilis +Pinanga hexasticha +Rhapis excelsa +Trachycarpus fortunei +Trachycarpus takil +Wallichia caryotoides +Wallichia disticha +Wallichia gracilis +Wallichia nana +Wallichia oblongifolia +Wallichia triandra +Amischotolype hispida +Amischotolype hookeri +Amischotolype mollissima +Commelina appendiculata +Commelina communis +Commelina diffusa +Commelina maculata +Commelina paludosa +Commelina sikkimensis +Cyanotis arachnoidea +Cyanotis axillaris +Cyanotis cristata +Cyanotis fasciculata +Cyanotis vaga +Floscopa scandens +Murdannia divergens +Murdannia gigantea +Murdannia japonica +Murdannia loriformis +Murdannia nudiflora +Murdannia simplex +Murdannia spirata +Murdannia triquetra +Pollia hasskarlii +Pollia secundiflora +Pollia subumbellata +Rhopalephora scaberrima +Spatholirion longifolium +Streptolirion volubile +Streptolirion volubile subsp. khasianum +Tricarpelema giganteum +Tricarpelema glanduliferum +Tricarpelema xizangense +Monochoria hastata +Monochoria vaginalis +Ensete glaucum +Musa acuminata +Musa argentii +Musa arunachalensis +Musa aurantiaca +Musa balbisiana +Musa basjoo +Musa cheesmanii +Musa kamengensis +Musa markkuana +Musa markkui +Musa puspanjaliae +Musa sanguinea +Musa velutina +Phrynium placentarium +Phrynium pubinerve +Phrynium rheedei +Hellenia oblonga +Hellenia speciosa +Alpinia blepharocalyx +Alpinia emaculata +Alpinia malaccensis +Alpinia nigra +Amomum arunachalense +Amomum dealbatum +Amomum maximum +Amomum nimkeyense +Amomum riwatchii +Amomum subcapitatum +Amomum subulatum +Amomum tibeticum +Amomum xizangense +Cautleya gracilis +Cautleya gracilis var. robusta +Cautleya spicata +Curcuma amada +Curcuma aromatica +Curcuma longa +Curcuma montana +Curcuma phaeocaulis +Curcuma rubescens +Globba clarkei +Globba multiflora +Globba racemosa +Hedychium aureum +Hedychium bijiangense +Hedychium coccineum +Hedychium coronarium +Hedychium densiflorum +Hedychium efilamentosum +Hedychium ellipticum +Hedychium flavum +Hedychium forrestii +Hedychium gardnerianum +Hedychium gomezianum +Hedychium gracile +Hedychium gracillimum +Hedychium longipedunculatum +Hedychium mechukanum +Hedychium parvibracteatum +Hedychium radiatum +Hedychium raoi +Hedychium robustum +Hedychium sinoaureum +Hedychium spicatum +Hedychium spicatum var. acuminatum +Hedychium stenopetalum +Hedychium thyrsiforme +Hedychium villosum +Hedychium wardii +Hedychium yunnanense +Larsenianthus arunachalensis +Larsenianthus careyanus +Roscoea alpina +Roscoea auriculata +Roscoea bhutanica +Roscoea brandisii +Roscoea capitata +Roscoea cautleoides +Roscoea debilis +Roscoea humeana +Roscoea megalantha +Roscoea schneideriana +Roscoea tibetica +Roscoea wardii +Stahlianthus involucratus +Wurfbainia aromatica +Zingiber arunachalensis +Zingiber campanulatum +Zingiber capitatum +Zingiber caudatum +Zingiber chrysanthum +Zingiber cornigerum +Zingiber purpureum +Zingiber roseum +Zingiber rubens +Zingiber zerumbet +Sparganium fallax +Sparganium glomeratum +Sparganium limosum +Sparganium stoloniferum +Sparganium yunnanense +Typha angustifolia +Typha latifolia +Typha laxmannii +Typha orientalis +Eriocaulon alpestre +Eriocaulon brownianum +Eriocaulon buergerianum +Eriocaulon cinereum +Eriocaulon nepalense +Eriocaulon nepalense var. luzulifolium +Eriocaulon sollyanum +Juncus alatus +Juncus allioides +Juncus alpinoarticulatus +Juncus amplifolius +Juncus articulatus +Juncus benghalensis +Juncus brachystigma +Juncus bracteatus +Juncus bufonius +Juncus castaneus +Juncus cephalostigma +Juncus cephalostigma var. dingjieensis +Juncus chrysocarpus +Juncus clarkei +Juncus concinnus +Juncus effusus +Juncus giganteus +Juncus gracilicaulis +Juncus grisebachii +Juncus himalensis +Juncus inflexus +Juncus khasiensis +Juncus kingii +Juncus leptospermus +Juncus leucanthus +Juncus leucomelas +Juncus membranaceus +Juncus milashanensis +Juncus minimus +Juncus nigroviolaceus +Juncus ochraceus +Juncus perpusillus +Juncus potaninii +Juncus prismatocarpus +Juncus prismatocarpus subsp. teretifolius +Juncus przewalskii +Juncus setchuensis +Juncus sikkimensis +Juncus sphacelatus +Juncus thomsonii +Juncus triglumis +Juncus triglumis subsp. albescens +Juncus unifolius +Luzula bomiensis +Luzula campestris +Luzula effusa +Luzula jilongensis +Luzula multiflora +Luzula oligantha +Luzula plumosa +Luzula spicata +Luzula sudetica +Blysmus compressus +Blysmus sinocompressus +Bulbostylis densa +Carex alatauensis +Carex alopecuroides +Carex alta +Carex atrata +Carex atrata subsp. pullata +Carex atrofusca subsp. minor +Carex atrofuscoides +Carex baccans +Carex bhutanensis +Carex bijiangensis +Carex bistaminata +Carex bodinieri +Carex bonatiana +Carex breviculmis +Carex brunnea +Carex burangensis +Carex burttii +Carex caespititia +Carex caespitosa +Carex capillacea +Carex capillifolia +Carex cardiolepis +Carex cercostachys +Carex chlorostachys +Carex clavispica +Carex composita +Carex confertiflora +Carex coninux +Carex coriophora +Carex crebra +Carex cruciata +Carex cruenta +Carex curticeps +Carex daltoni +Carex deasyi +Carex desponsa +Carex doniana +Carex duthiei +Carex echinata +Carex eleusinoides +Carex enervis +Carex esenbeckii +Carex fastigiata +Carex fedia +Carex filicina +Carex filispica +Carex finitima +Carex fissiglumis +Carex fluviatilis +Carex forrestii +Carex gammiei +Carex gentilis +Carex gongshanensis +Carex haematostoma +Carex hebecarpa +Carex hemineuros +Carex himalaica +Carex hohxilensis +Carex hughii +Carex inanis +Carex insignis +Carex ivanoviae +Carex jinfoshanensis +Carex kansuensis +Carex karoi +Carex kokanica +Carex lanceolata +Carex lehmannii +Carex lepidochlamys +Carex ligulata +Carex littledalei +Carex longipes +Carex makuensis +Carex melanantha +Carex microglochin +Carex montis-everestii +Carex moorcroftii +Carex motuoensis +Carex munda +Carex myosurus +Carex neesii +Carex nivalis +Carex noltiei +Carex notha +Carex nubigena +Carex nudicarpa +Carex obscura +Carex orbicularis +Carex ovatispiculata +Carex oxyphylla +Carex pamirica +Carex paratatsiensis +Carex parva +Carex parvula +Carex peichuniana +Carex plectobasis +Carex polycephala +Carex praeclara +Carex przewalskii +Carex pseudofoetida +Carex pseudogammiei +Carex pseudolaxa +Carex pseuduncinoides +Carex psychrophila +Carex pulchra +Carex purpureosquamata +Carex rara +Carex remotiuscula +Carex ridongensis +Carex rochebrunei +Carex rochebrunii +Carex rubrobrunnea +Carex sagaensis +Carex sanjappae +Carex sargentiana +Carex satakeana +Carex scabrirostris +Carex schneideri +Carex scitula +Carex scolopendriformis +Carex setigera +Carex setosa +Carex setschwanensis +Carex speciosa subsp. pinetorum +Carex staintonii +Carex stenophylloides +Carex stramentitia +Carex subfilicinoides +Carex tapintzensis +Carex tatsiensis +Carex teinogyna +Carex teres +Carex thomsonii +Carex tibetikobresia +Carex tingnungii +Carex uncinioides +Carex vaginosa +Carex vidua +Carex wallichiana +Carex yadongensis +Carex yanchengii +Carex yunnanensis +Carex zekogensis +Cladium mariscus +Courtoisina cyperoides +Cyperus amuricus +Cyperus babakan +Cyperus cephalotes +Cyperus compactus +Cyperus compressus +Cyperus cuspidatus +Cyperus cyperinus +Cyperus cyperoides +Cyperus diffusus +Cyperus haspan +Cyperus imbricatus +Cyperus iria +Cyperus laxus +Cyperus microiria +Cyperus niveus +Cyperus nutans +Cyperus pilosus +Cyperus rotundus +Cyperus sikkimensis +Cyperus squarrosus +Cyperus tenuispica +Cyperus thomsonii +Eleocharis congesta +Eleocharis dulcis +Eleocharis ovata +Eleocharis palustris +Eleocharis quinqueflora +Eleocharis tetraquetra +Eleocharis uniglumis +Eleocharis valleculosa +Eleocharis valleculosa var. setosa +Eleocharis wichurae +Erioscirpus comosus +Fimbristylis aestivalis +Fimbristylis autumnalis +Fimbristylis bisumbellata +Fimbristylis complanata +Fimbristylis complanata var. exaltata +Fimbristylis dichotoma +Fimbristylis falcata +Fimbristylis littoralis +Fimbristylis ovata +Fimbristylis quinquangularis +Fimbristylis schoenoides +Fimbristylis squarrosa +Fimbristylis stolonifera +Fimbristylis tenera +Fuirena umbellata +Hypolytrum nemorum +Isolepis setacea +Kyllinga brevifolia +Kyllinga nemoralis +Kyllinga polyphylla +Lipocarpha chinensis +Mapania arunachalensis +Mapania palustris +Pycreus delavayi +Pycreus diaphanus +Pycreus flavidus +Pycreus sanguinolentus +Pycreus sulcinux +Rhynchospora corymbosa +Rhynchospora rubra +Rhynchospora rugosa +Schoenoplectiella juncoides +Schoenoplectiella mucronata +Schoenoplectus tabernaemontani +Schoenoplectus triqueter +Scirpus lushanensis +Scirpus rosthornii +Scirpus ternatanus +Scirpus wichurae +Scleria levis +Scleria parvula +Scleria terrestris +Trichophorum distigmaticum +Trichophorum pumilum +× Agropogon lutosus +Achnatherum brandisii +Achnatherum chingii +Achnatherum duthiei +Achnatherum henryi +Achnatherum inebrians +Achnatherum jacquemontii +Achnatherum sibiricum +Acroceras zizanioides +Agropyron cristatum +Agrostis clavata +Agrostis gigantea +Agrostis griffithiana +Agrostis hookeriana +Agrostis hugoniana +Agrostis mackliniae +Agrostis micrantha +Agrostis munroana +Agrostis nervosa +Agrostis sinorupestris +Agrostis vinealis +Alopecurus aequalis +Ampelocalamus microphyllus +Ampelocalamus patellaris +Andropogon munroi +Aniselytron treutleri +Anthoxanthum flexuosum +Anthoxanthum glabrum +Anthoxanthum hookeri +Anthoxanthum nitens +Anthoxanthum potaninii +Anthoxanthum tibeticum +Apluda mutica +Arctopoa tibetica +Arctopoa tibetica var. aristulata +Aristida alpina +Aristida brevissima +Aristida scabrescens +Aristida triseta +Aristida tsangpoensis +Arthraxon castratus +Arthraxon hispidus +Arthraxon lanceolatus +Arthraxon lancifolius +Arthraxon microphyllus +Arthraxon prionodes +Arundinella bengalensis +Arundinella hookeri +Arundinella intricata +Arundinella nepalensis +Arundinella yunnanensis +Arundo donax +Avena fatua +Avena fatua var. glabrata +Avena sativa +Axonopus compressus +Axonopus fissifolius +Bambusa daporijoeana +Bambusa longispiculata +Bambusa mompana +Bambusa pallida +Bambusa teres +Bambusa tulda +Bambusa vulgaris +Beckmannia syzigachne +Bothriochloa bladhii +Bothriochloa bladhii var. punctata +Bothriochloa ischaemum +Brachiaria distachya +Brachiaria eruciformis +Brachiaria villosa +Brachypodium distachyon +Brachypodium pinnatum +Brachypodium pratense +Brachypodium retusum +Brachypodium sylvaticum +Briza media +Bromus erectus +Bromus gracillimus +Bromus himalaicus +Bromus hordeaceus +Bromus japonicus +Bromus magnus +Bromus mairei +Bromus plurinodis +Bromus porphyranthos +Bromus pseudoramosus +Bromus ramosus +Bromus remotiflorus +Bromus sinensis +Bromus sinensis var. minor +Bromus staintonii +Bromus tectorum +Bromus tectorum subsp. lucidus +Calamagrostis emodensis +Calamagrostis epigeios +Calamagrostis hedinii +Calamagrostis hongii +Calamagrostis pseudophragmites +Capillipedium assimile +Capillipedium parviflorum +Capillipedium pteropechys +Catabrosa aquatica +Catabrosa aquatica var. angusta +Catabrosa capusii +Centotheca lappacea +Cephalostachyum latifolium +Cephalostachyum mannii +Cephalostachyum mishimianum +Cephalostachyum pallidum +Cephalostachyum pergracile +Chimonobambusa armata +Chimonobambusa arunachalensis +Chimonobambusa callosa +Chimonobambusa jainii +Chimonobambusa metuoensis +Chimonobambusa purpurea +Chimonocalamus delicatus +Chimonocalamus griffithianus +Chimonocalamus pallens +Chloris virgata +Chrysopogon aciculatus +Chrysopogon fulvus +Chrysopogon serrulatus +Chrysopogon zizanioides +Coix lacryma-jobi +Coix lacryma-jobi var. ma-yuen +Coix lacryma-jobi var. stenocarpa +Colpodium tibeticum +Colpodium wallichii +Cymbopogon distans +Cymbopogon jwarancusa +Cymbopogon jwarancusa subsp. olivieri +Cymbopogon nardus +Cymbopogon pospischilii +Cymbopogon tortilis +Cymbopogon tungmaiensis +Cynodon dactylon +Cyrtococcum oxyphyllum +Cyrtococcum patens +Cyrtococcum patens var. latifolium +Dactylis glomerata +Dactyloctenium aegyptium +Danthonia cachemyriana +Danthonia cumminsii +Dendrocalamus giganteus +Dendrocalamus hamiltonii +Dendrocalamus hookeri +Dendrocalamus sahnii +Dendrocalamus sikkimensis +Dendrocalamus strictus +Dendrocalamus tibeticus +Deschampsia cespitosa +Deschampsia cespitosa subsp. ivanovae +Deschampsia koelerioides +Deschampsia littoralis +Deyeuxia conferta +Deyeuxia debilis +Deyeuxia flaccida +Deyeuxia flavens +Deyeuxia himalaica +Deyeuxia holciformis +Deyeuxia nepalensis +Deyeuxia nivicola +Deyeuxia nyingchiensis +Deyeuxia pulchella +Deyeuxia purpurea +Deyeuxia pyramidalis +Deyeuxia rosea +Deyeuxia scabrescens +Deyeuxia sichuanensis +Deyeuxia sorengii +Deyeuxia tibetica +Deyeuxia tibetica var. przevalskyi +Deyeuxia zangxiensis +Digitaria abludens +Digitaria ciliaris +Digitaria cruciata +Digitaria ischaemum +Digitaria longiflora +Digitaria sanguinalis +Digitaria setigera +Digitaria stricta var. denudata +Digitaria violascens +Dinochloa macclellandii +Drepanostachyum ampullare +Drepanostachyum intermedium +Drepanostachyum semiorbiculatum +Duthiea brachypodium +Echinochloa colona +Echinochloa crus-galli +Echinochloa frumentacea +Echinochloa glabrescens +Echinochloa stagnina +Eleusine coracana +Eleusine indica +Elymus altissimus +Elymus anthosachnoides +Elymus antiquus +Elymus aristiglumis +Elymus aristiglumis var. hirsutus +Elymus aristiglumis var. leianthus +Elymus atratus +Elymus barystachyus +Elymus breviaristatus +Elymus brevipes +Elymus burchan-buddae +Elymus cacuminis +Elymus caesifolius +Elymus caianus +Elymus curtiaristatus +Elymus dahuricus +Elymus dahuricus var. cylindricus +Elymus durus +Elymus elytrigioides +Elymus jacquemontii +Elymus kamoji +Elymus nutans +Elymus pulanensis +Elymus retroflexus +Elymus schrenkianus +Elymus shouliangiae +Elymus sibiricus +Elymus sinicus +Elymus strictus +Elymus tangutorum +Elymus tenuispicus +Elymus tibeticus +Elymus tschimganicus +Elymus yangiae +Elytrigia intermedia +Elytrigia repens +Enneapogon desvauxii +Eragrostis cilianensis +Eragrostis elongata +Eragrostis ferruginea +Eragrostis minor +Eragrostis nigra +Eragrostis nutans +Eragrostis pilosa +Eragrostis tenella +Eragrostis unioloides +Eulalia mollis +Eulalia quadrinervis +Eulalia yunnanensis +Fargesia daminiu +Fargesia extensa +Fargesia farcta +Fargesia glabrifolia +Fargesia grossa +Fargesia macclureana +Fargesia melanostachys +Fargesia purpurea +Fargesia zayuensis +Festuca brachyphylla +Festuca changduensis +Festuca chayuensis +Festuca chumbiensis +Festuca coelestis +Festuca fascinata +Festuca kashmiriana +Festuca leptopogon +Festuca nitidula +Festuca ovina +Festuca parvigluma +Festuca pratensis +Festuca rubra +Festuca rubra subsp. arctica +Festuca rubra subsp. clarkei +Festuca rubra subsp. villosa +Festuca scabriflora +Festuca stapfii +Festuca tibetica +Festuca undata +Festuca valesiaca subsp. pseudovina +Festuca valesiaca subsp. sulcata +Festuca vierhapperi +Festuca wallichiana +Garnotia acutigluma +Garnotia emodi +Garnotia tenella +Gigantochloa macrostachya +Glyceria tonglensis +Hackelochloa granularis +Helictotrichon delavayi +Helictotrichon junghuhnii +Helictotrichon polyneurum +Helictotrichon schmidii +Helictotrichon tibeticum +Hemarthria vaginata +Heteropogon contortus +Himalayacalamus collaris +Himalayacalamus falconeri +Hordeum agriocrithon +Hordeum brevisubulatum +Hordeum distichon +Hordeum spontaneum var. proskowetzii +Hordeum vulgare +Hordeum vulgare var. coeleste +Hordeum vulgare var. trifurcatum +Hygroryza aristata +Hystrix duthiei +Ichnanthus pallens +Ichnanthus pallens var. major +Imperata cylindrica +Imperata cylindrica var. major +Isachne albens +Isachne clarkei +Isachne globosa +Isachne himalaica +Isachne nipponensis +Isachne scabrosa +Isachne sikkimensis +Isachne sylvestris +Ischaemum barbatum +Ischaemum rugosum +Kengyilia hirsuta +Kengyilia kokonorica +Kengyilia thoroldiana +Kengyilia thoroldiana var. laxiuscula +Koeleria litvinowii +Koeleria litvinowii subsp. argentea +Koeleria macrantha +Leersia hexandra +Leymus mundus +Leymus ramosus +Leymus secalinus +Leymus secalinus var. tenuis +Littledalea przevalskyi +Littledalea racemosa +Littledalea tibetica +Lolium perenne +Melica onoei +Melica persica subsp. canescens +Melica przewalskyi +Melica scabrosa +Melica schuetzeana +Melica secunda +Melica taylorii +Melica virgata +Melocalamus elevatissimus +Microstegium ciliatum +Microstegium fasciculatum +Microstegium nudum +Microstegium vimineum +Milium effusum +Miscanthus nepalensis +Miscanthus nudipes +Muhlenbergia himalayensis +Muhlenbergia huegelii +Muhlenbergia japonica +Neomicrocalamus microphyllus +Neomicrocalamus prainii +Neotrinia splendens +Neyraudia arundinacea +Neyraudia montana +Neyraudia reynaudiana +Oplismenus compositus +Oplismenus compositus var. formosanus +Oplismenus compositus var. owatarii +Orinus intermedius +Orinus thoroldii +Orthoraphium roylei +Oryza sativa +Panicum atrosanguineum +Panicum auritum +Panicum brevifolium +Panicum curviflorum +Panicum dichotomiflorum +Panicum humidorum +Panicum incomtum +Panicum khasianum +Panicum miliaceum +Panicum notatum +Panicum sarmentosum +Paspalidium flavidum +Paspalum conjugatum +Paspalum longifolium +Paspalum scrobiculatum +Paspalum scrobiculatum var. orbiculare +Pennisetum flaccidum +Pennisetum glaucum +Pennisetum hohenackeri +Pennisetum lanatum +Phaenosperma globosum +Phleum alpinum +Phleum pratense +Phragmites australis +Phragmites karka +Phyllostachys mannii +Piptatherum aequiglume +Piptatherum gracile +Piptatherum grandispiculum +Piptatherum hilariae +Piptatherum laterale +Piptatherum munroi +Piptatherum tibeticum +Piptatherum tibeticum var. psilolepis +Poa acroleuca +Poa albertii +Poa albertii subsp. arnoldii +Poa albertii subsp. kunlunensis +Poa albertii subsp. lahulensis +Poa albertii subsp. poophagorum +Poa alpina +Poa annua +Poa araratica +Poa araratica subsp. ianthina +Poa araratica subsp. psilolepis +Poa asperifolia +Poa attenuata +Poa attenuata var. dahurica +Poa binodis +Poa bomiensis +Poa bulbosa +Poa bulbosa subsp. vivipara +Poa burmanica +Poa calliopsis +Poa dzongicola +Poa eleanorae +Poa faberi +Poa gammieana +Poa glauca +Poa grandis +Poa himalayana +Poa hirtiglumis +Poa hirtiglumis var. nimuana +Poa hylobates +Poa khasiana +Poa lapponica subsp. acmocalyx +Poa lhasaensis +Poa lipskyi +Poa mairei +Poa nemoralis +Poa nepalensis +Poa nitidespiculata +Poa nubigena +Poa pagophila +Poa palustris +Poa perennis +Poa polycolea +Poa polyneuron +Poa pratensis +Poa pratensis subsp. alpigena +Poa pratensis subsp. angustifolia +Poa pratensis subsp. pruinosa +Poa pratensis subsp. staintonii +Poa pseudamoena +Poa rajbhandarii +Poa sikkimensis +Poa supina +Poa szechuensis +Poa versicolor +Poa versicolor subsp. ochotensis +Poa versicolor subsp. orinosa +Poa versicolor subsp. varia +Poa wardiana +Pogonatherum crinitum +Pogonatherum paniceum +Polypogon fugax +Polypogon monspeliensis +Pseudechinolaena polystachya +Pseudostachyum polymorphum +Ptilagrostis concinna +Ptilagrostis dichotoma +Ptilagrostis luquensis +Ptilagrostis mongholica +Ptilagrostis pelliotii +Ptilagrostis roshevitsiana +Ptilagrostis yadongensis +Puccinellia altaica +Puccinellia chinampoensis +Puccinellia diffusa +Puccinellia dolicholepis +Puccinellia himalaica +Puccinellia humilis +Puccinellia kashmiriana +Puccinellia kuenlunica +Puccinellia leiolepis +Puccinellia minuta +Puccinellia multiflora +Puccinellia nudiflora +Puccinellia pamirica +Puccinellia pauciramea +Puccinellia phryganodes +Puccinellia roborovskyi +Puccinellia shuanghuensis +Puccinellia stapfiana +Puccinellia strictura +Puccinellia subspicata +Puccinellia thomsonii +Puccinellia tianschanica +Puccinellia vachanica +Saccharum arundinaceum +Saccharum longesetosum +Saccharum officinarum +Saccharum procerum +Saccharum rufipilum +Saccharum sinense +Saccharum spontaneum +Saccharum wardii +Sacciolepis indica +Sacciolepis interrupta +Sacciolepis myosuroides +Schizachyrium brevifolium +Schizachyrium delavayi +Schizachyrium fragile +Schizachyrium sanguineum +Schizostachyum arunachalensis +Setaria forbesiana +Setaria italica +Setaria palmifolia +Setaria plicata +Setaria pumila +Setaria viridis +Setaria yunnanensis +Sibirotrisetum bifidum +Sibirotrisetum scitulum +Sibirotrisetum sibiricum +Sinochasea trigyna +Sorghum bicolor +Spodiopogon dubius +Spodiopogon tainanensis +Sporobolus diandrus +Sporobolus fertilis +Stapletonia arunachalensis +Stapletonia rigoensis +Stapletonia seshagiriana +Stephanachne monandra +Stipa aliena +Stipa baicalensis +Stipa baxoiensis +Stipa bhutanica +Stipa breviflora +Stipa bungeana +Stipa capillacea +Stipa capillacea var. parviflora +Stipa caucasica +Stipa caucasica subsp. glareosa +Stipa dickorei +Stipa orientalis +Stipa penicillata +Stipa przewalskyi +Stipa purpurea +Stipa regeliana +Stipa richteriana +Stipa roborowskyi +Stipa sareptana var. krylovii +Stipa subsessiliflora +Stipa tianschanica var. gobica +Stipa turkestanica +Stipa turkestanica var. diyaensis +Stipa zhadaensis +Tenaxia cumminsii +Thamnocalamus arunachalensis +Thamnocalamus spathiflorus +Thamnocalamus spathiflorus var. crassinodus +Thamnocalamus unispiculatus +Themeda anathera +Themeda caudata +Themeda gigantea +Themeda hookeri +Themeda minor +Themeda triandra +Themeda villosa +Thysanolaena latifolia +Tragus berteronianus +Trikeraia hookeri +Trikeraia hookeri var. ramosa +Trikeraia pappiformis +Tripogon bromoides +Tripogon chinensis +Tripogon filiformis +Tripogon humilis +Tripogon liouae +Tripogon purpurascens +Tripogon rupestris +Tripogon trifidus +Tripogon wardii +Tripogon yunnanensis +Trisetum clarkei +Trisetum micans +Trisetum spicatum +Trisetum spicatum subsp. alaskanum +Trisetum spicatum subsp. mongolicum +Trisetum spicatum subsp. tibeticum +Trisetum spicatum subsp. virescens +Triticum aestivum +Vulpia myuros +Yushania arunachaleana +Yushania longispiculatus +Yushania xizangensis +Yushania yadongensis +Zea mays +Ceratophyllum demersum +Euptelea pleiosperma +Argemone mexicana +Corydalis adiantifolia +Corydalis adunca +Corydalis anaginova +Corydalis arcuata +Corydalis atuntsuensis +Corydalis auriculata +Corydalis benecincta +Corydalis bimaculata +Corydalis brachyceras +Corydalis brevirostrata +Corydalis bulbifera +Corydalis calcicola +Corydalis calycosa +Corydalis capnoides +Corydalis cashmeriana +Corydalis cashmeriana subsp. longicalcarata +Corydalis casimiriana subsp. brachycarpa +Corydalis cavei +Corydalis chaerophylla +Corydalis chamdoensis +Corydalis changuensis +Corydalis cheilosticta +Corydalis chrysosphaera +Corydalis conspersa +Corydalis cornuta +Corydalis corymbosa +Corydalis crispa +Corydalis crispa subsp. laeviangula +Corydalis curviflora +Corydalis curviflora subsp. rosthornii +Corydalis dasyptera +Corydalis davidii +Corydalis delicatula +Corydalis delphinioides +Corydalis densispica +Corydalis diffusa +Corydalis dolichocentra +Corydalis dorjii +Corydalis drepanantha +Corydalis dubia +Corydalis ecristata +Corydalis elegans +Corydalis eugeniae +Corydalis filisecta +Corydalis flaccida +Corydalis franchetiana +Corydalis geraniifolia +Corydalis glaucissima +Corydalis glycyphyllos +Corydalis govaniana +Corydalis gracillima +Corydalis gyrophylla +Corydalis hamata +Corydalis hemidicentra +Corydalis hendersonii +Corydalis hendersonii var. alto-cristata +Corydalis hepaticifolia +Corydalis hookeri +Corydalis imbricata +Corydalis impatiens +Corydalis inopinata +Corydalis iochanensis +Corydalis jigmei +Corydalis juncea +Corydalis kingdonis +Corydalis kingii +Corydalis kokiana +Corydalis kuruchuensis +Corydalis laelia +Corydalis lasiocarpa +Corydalis latiflora +Corydalis latiloba var. tibetica +Corydalis laucheana +Corydalis leptocarpa +Corydalis lhasaensis +Corydalis lhorongensis +Corydalis linarioides +Corydalis linearis +Corydalis livida +Corydalis longibracteata +Corydalis longipes +Corydalis lowndesii +Corydalis ludlowii +Corydalis lupinoides +Corydalis mayae +Corydalis meifolia +Corydalis melanochlora +Corydalis meyori +Corydalis milarepa +Corydalis minutiflora +Corydalis moorcroftiana +Corydalis mucronifera +Corydalis nana +Corydalis nemoralis +Corydalis nigro-apiculata +Corydalis nubicola +Corydalis oligosperma +Corydalis ophiocarpa +Corydalis oreocoma +Corydalis oxypetala subsp. balfouriana +Corydalis pachycentra +Corydalis pachypoda +Corydalis papillosa +Corydalis petrodoxa +Corydalis petrophila +Corydalis polygalina +Corydalis polyphylla +Corydalis porphyrantha +Corydalis prattii +Corydalis pseudoadoxa +Corydalis pseudobalfouriana +Corydalis pseudocristata +Corydalis pseudodrakeana +Corydalis pseudofilisecta +Corydalis pseudoimpatiens +Corydalis pseudojuncea +Corydalis pseudolongipes +Corydalis pseudosibirica +Corydalis pterygopetala +Corydalis pubicaulis +Corydalis pygmaea +Corydalis quinquefoliolata +Corydalis regia +Corydalis retingensis +Corydalis rostellata +Corydalis rubrisepala subsp. zhuangiana +Corydalis scaberula +Corydalis sherriffii +Corydalis smithiana +Corydalis spathulata +Corydalis stenophylla +Corydalis stracheyi +Corydalis stracheyi var. ecristata +Corydalis straminea +Corydalis stramineoides +Corydalis stricta +Corydalis tangutica subsp. bullata +Corydalis temolana +Corydalis tenuipes +Corydalis thyrsiflora +Corydalis tibetica +Corydalis tibetoalpina +Corydalis tibeto-oppositifolia +Corydalis tongolensis +Corydalis trachycarpa +Corydalis trifoliata +Corydalis tsangensis +Corydalis tsayulensis +Corydalis uranoscopa +Corydalis verna +Corydalis wuzhengyiana +Corydalis yunnanensis +Corydalis zadoiensis +Dactylicapnos arunachalensis +Dactylicapnos grandifoliolata +Dactylicapnos lichiangensis +Dactylicapnos macrocapnos +Dactylicapnos roylei +Dactylicapnos scandens +Dactylicapnos torulosa +Dicranostigma lactucoides +Dicranostigma leptopodum +Dicranostigma platycarpum +Eschscholzia californica +Fumaria indica +Fumaria vaillantii +Hypecoum erectum +Hypecoum leptocarpum +Hypecoum parviflorum +Hypecoum zhukanum +Meconopsis × kongboensis +Meconopsis argemonantha +Meconopsis autumnalis +Meconopsis baileyi +Meconopsis bella +Meconopsis dhwojii +Meconopsis discigera +Meconopsis elongata +Meconopsis florindae +Meconopsis gakyidiana +Meconopsis gracilipes +Meconopsis grandis +Meconopsis horridula +Meconopsis horridula subsp. drukyulensis +Meconopsis impedita +Meconopsis lancifolia +Meconopsis lhasaensis +Meconopsis lyrata +Meconopsis merakensis +Meconopsis paniculata +Meconopsis pinnatifolia +Meconopsis polygonoides +Meconopsis prainiana +Meconopsis prattii +Meconopsis primulina +Meconopsis pseudohorridula +Meconopsis pseudointegrifolia +Meconopsis pseudovenusta +Meconopsis quintuplinervia +Meconopsis racemosa +Meconopsis rudis +Meconopsis sherriffii +Meconopsis simplicifolia +Meconopsis simplicifolia subsp. grandiflora +Meconopsis sinuata +Meconopsis smithiana +Meconopsis speciosa +Meconopsis sulphurea +Meconopsis superba +Meconopsis tibetica +Meconopsis torquata +Meconopsis violacea +Meconopsis zangnanensis +Papaver rhoeas +Papaver somniferum +Circaeaster agrestis +Akebia apetala +Decaisnea insignis +Holboellia angustifolia +Holboellia angustifolia subsp. obtusa +Holboellia chapaensis +Holboellia latifolia +Holboellia medogensis +Parvatia brunoniana +Stauntonia libera +Aspidocarya uvifera +Cissampelos convolvulacea +Cissampelos pareira +Cissampelos pareira var. hirsuta +Cocculus laurifolius +Cocculus orbiculatus +Cyclea bicristata +Cyclea peltata +Diploclisia glaucescens +Haematocarpus validus +Hypserpa nitida +Limacia oblonga +Parabaena sagittata +Pericampylus glaucus +Pycnarrhena pleniflora +Sinomenium acutum +Stephania brevipedunculata +Stephania cephalantha +Stephania delavayi +Stephania elegans +Stephania glabra +Stephania glandulifera +Stephania gracilenta +Stephania japonica +Stephania japonica var. discolor +Stephania japonica var. timoriensis +Stephania subpeltata +Tinomiscium petiolare +Tinospora cordifolia +Tinospora crispa +Tinospora sagittata +Tinospora sinensis +Berberis aggregata +Berberis agricola +Berberis angulosa +Berberis approximata +Berberis aristata +Berberis asiatica +Berberis atrocarpa +Berberis atroviridiana +Berberis basumchuensis +Berberis baxoiensis +Berberis buchananii +Berberis calliantha +Berberis campylotropa +Berberis chitria +Berberis chrysophaera +Berberis concinna +Berberis cornuta +Berberis dasyclada +Berberis delavayi +Berberis dictyoneura +Berberis dictyophylla +Berberis dictyophylla var. epruinosa +Berberis erythroclada +Berberis everestiana +Berberis franchetiana +Berberis francisci-ferdinandi +Berberis gagnepainii +Berberis gilungensis +Berberis griffithiana +Berberis griffithiana var. pallida +Berberis gyalaica +Berberis hemsleyana +Berberis hobsonii +Berberis hookeri +Berberis humido-umbrosa +Berberis hypericifolia +Berberis ignorata +Berberis insignis +Berberis insignis subsp. incrassata +Berberis jamesiana +Berberis johannis +Berberis kartanica +Berberis kongboensis +Berberis lecomtei +Berberis lhunzensis +Berberis lhunzhubensis +Berberis longispina +Berberis macrosepala +Berberis markamensis +Berberis medogensis +Berberis mekongensis +Berberis minutiflora +Berberis muliensis +Berberis muliensis var. atuntzeana +Berberis multicaulis +Berberis multiserrata +Berberis nujiangensis +Berberis nullinervis +Berberis nutanticarpa +Berberis nyingchiensis +Berberis obovatifolia +Berberis orthobotrys +Berberis papillifera +Berberis parapruinosa +Berberis parisepala +Berberis platyphylla +Berberis pluvisylvatica +Berberis polyantha +Berberis prattii +Berberis pruinosa +Berberis pulangensis +Berberis qamdoensis +Berberis racemulosa +Berberis replicata +Berberis reticulinervis +Berberis sabulicola +Berberis sherriffii +Berberis sikkimensis +Berberis silva-taroucana +Berberis taronensis +Berberis temolaica +Berberis thunbergii +Berberis tischleri +Berberis trichiata +Berberis tsangpoensis +Berberis tsarica +Berberis tsarongensis +Berberis ulicina +Berberis umbratica +Berberis vinifera +Berberis virescens +Berberis wallichiana +Berberis wilsoniae +Berberis xanthophlaea +Berberis yunnanensis +Berberis zayulana +Caulophyllum robustum +Dysosma aurantiocaulis +Dysosma pleiantha +Dysosma tsayuensis +Dysosma versipellis +Mahonia bealei +Mahonia calamicaulis +Mahonia calamicaulis subsp. kingdon-wardiana +Mahonia conferta +Mahonia duclouxiana +Mahonia monyulensis +Mahonia napaulensis +Mahonia polyodonta +Mahonia taronensis +Sinopodophyllum hexandrum +Aconitum abietetorum +Aconitum alpinonepalense +Aconitum assamicum +Aconitum basitruncatum +Aconitum bracteolatum +Aconitum brevilimbum +Aconitum changianum +Aconitum chasmanthum +Aconitum chayuense +Aconitum chiachaense +Aconitum chiachaense var. glandulosum +Aconitum chienningense var. lasiocarpum +Aconitum creagromorphum +Aconitum dolichostachyum +Aconitum elliotii +Aconitum elliotii var. doshongense +Aconitum elliotii var. glabrescens +Aconitum elliotii var. pilopetalum +Aconitum elwesii +Aconitum ferox +Aconitum flavum +Aconitum fletcherianum +Aconitum gammiei +Aconitum haridasanii +Aconitum hemsleyanum +Aconitum hemsleyanum var. xizangense +Aconitum hicksii +Aconitum hookeri +Aconitum iochanicum +Aconitum jilongense +Aconitum kongboense +Aconitum kongboense var. villosum +Aconitum laeve +Aconitum leiwuqiense +Aconitum lethale +Aconitum liljestrandii +Aconitum longilobum +Aconitum longipedicellatum +Aconitum longipetiolatum +Aconitum ludlowii +Aconitum lycoctonifolium +Aconitum milinense +Aconitum nagarum +Aconitum nagarum var. acaule +Aconitum namlaense +Aconitum naviculare +Aconitum nielamuense +Aconitum novoaxillare +Aconitum novoluridum +Aconitum nutantiflorum +Aconitum ouvrardianum +Aconitum palmatum +Aconitum pendulicarpum +Aconitum pendulum +Aconitum pomeense +Aconitum prominens +Aconitum pseudodivaricatum +Aconitum pseudokongboense +Aconitum pulchellum +Aconitum pulchellum var. hispidum +Aconitum refractum +Aconitum richardsonianum +Aconitum richardsonianum var. pseudosessiliflorum +Aconitum sinoaxillare +Aconitum spicatum +Aconitum stylosum +Aconitum tangense +Aconitum tanguticum +Aconitum tawangense +Aconitum tongolense +Aconitum tsariense +Actaea asiatica +Actaea frigida +Actaea mairei var. foliolosa +Actaea spicata var. acuminata +Actaea vaginata +Adonis aestivalis +Adonis aestivalis var. parviflora +Adonis coerulea +Adonis davidii +Anemone altaica +Anemone bomiensis +Anemone brachystema +Anemone cathayensis +Anemone coelestina var. linearis +Anemone davidii +Anemone delavayi +Anemone demissa +Anemone demissa var. major +Anemone demissa var. villosissima +Anemone demissa var. yunnanensis +Anemone elongata +Anemone galonglashanica +Anemone geum +Anemone geum subsp. ovalifolia +Anemone griffithii +Anemone howellii +Anemone imbricata +Anemone milinensis +Anemone motuoensis +Anemone neorupestris +Anemone obtusiloba +Anemone polycarpa +Anemone rivularis +Anemone rockii +Anemone rupestris +Anemone rupicola +Anemone smithiana +Anemone subpinnata +Anemone tetrasepala +Anemone tibetica +Anemone trullifolia +Anemone vitifolia +Aquilegia ecalcarata +Aquilegia moorcroftiana +Aquilegia oxysepala var. kansuensis +Aquilegia rockii +Asteropyrum peltatum +Asteropyrum peltatum subsp. cavaleriei +Batrachium bungei +Batrachium bungei var. flavidum +Batrachium eradicatum +Batrachium trichophyllum +Beesia deltophylla +Calathodes oxycarpa +Calathodes palmata +Callianthemum alatavicum +Callianthemum pimpinelloides +Caltha lobulatifolia +Caltha palustris +Caltha palustris var. barthei +Caltha palustris var. himalaica +Caltha scaposa +Caltha sinogracilis +Clematis acuminata +Clematis acutangula +Clematis akebioides +Clematis alternata +Clematis armandii +Clematis barbellata var. obtusa +Clematis brevicaudata +Clematis buchananiana +Clematis cadmia +Clematis connata +Clematis connata var. pseudoconnata +Clematis delavayi +Clematis delavayi var. calvescens +Clematis delavayi var. spinescens +Clematis erectisepala +Clematis gouriana +Clematis gracilifolia +Clematis gracilifolia var. dissectifolia +Clematis gracilifolia var. lasiocarpa +Clematis gracilifolia var. macrantha +Clematis grata +Clematis gratopsis +Clematis graveolens +Clematis grewiiflora +Clematis jialasaensis +Clematis kockiana +Clematis metuoensis +Clematis meyeniana +Clematis montana +Clematis montana var. brevifoliola +Clematis montana var. glabrescens +Clematis montana var. longipes +Clematis montana var. sterilis +Clematis montana var. wilsonii +Clematis napaulensis +Clematis ningjingshanica +Clematis parviloba +Clematis peterae +Clematis pseudopogonandra +Clematis puberula var. ganpiniana +Clematis rehderiana +Clematis siamensis +Clematis siamensis var. clarkei +Clematis smilacifolia +Clematis tangutica +Clematis tangutica var. pubescens +Clematis tenuifolia +Clematis tibetana +Clematis tibetana var. lineariloba +Clematis tibetana var. vernayi +Clematis tongluensis +Clematis tongluensis var. mollisepala +Clematis tripartita +Clematis tsaii +Clematis urophylla +Clematis viridis +Clematis yui +Clematis yunnanensis +Clematis zandaensis +Clematis zeylanica +Consolida ajacis +Coptis teeta +Delphinium albocoeruleum +Delphinium altissimum +Delphinium beesianum +Delphinium beesianum var. latisectum +Delphinium beesianum var. radiatifolium +Delphinium brunonianum +Delphinium bulleyanum +Delphinium caeruleum +Delphinium caeruleum var. obtusilobum +Delphinium candelabrum +Delphinium candelabrum var. monanthum +Delphinium ceratophoroides +Delphinium ceratophorum +Delphinium changduense +Delphinium chayuense +Delphinium chrysotrichum +Delphinium chrysotrichum var. tsarongense +Delphinium chumulangmaense +Delphinium chungbaense +Delphinium conaense +Delphinium conocentrum +Delphinium densiflorum +Delphinium dicentrum +Delphinium forrestii +Delphinium forrestii var. viride +Delphinium glaciale +Delphinium gyalanum +Delphinium hillcoatiae +Delphinium hillcoatiae var. pilocarpum +Delphinium himalayae +Delphinium incisolobulatum +Delphinium kamaonense +Delphinium kamaonense var. glabrescens +Delphinium kingianum +Delphinium kingianum var. acuminatissimum +Delphinium kingianum var. eglandulosum +Delphinium lagarocentrum +Delphinium lagarolobum +Delphinium langxianense +Delphinium latilimbum +Delphinium leiophyllum +Delphinium leiostachyum +Delphinium lihengianum +Delphinium likiangense +Delphinium longibracteolatum +Delphinium longipedicellatum +Delphinium longziense +Delphinium medogense +Delphinium nangchienense +Delphinium nangziense +Delphinium nordhagenii +Delphinium nordhagenii var. acutidentatum +Delphinium nortonii +Delphinium obcordatilimbum +Delphinium pomeense +Delphinium pseudoglaciale +Delphinium pseudopulcherrimum +Delphinium pseudoyunnanense +Delphinium pulanense +Delphinium purpurascens +Delphinium pylzowii +Delphinium pylzowii var. trigynum +Delphinium sherriffii +Delphinium subspathulatum +Delphinium tabatae +Delphinium tangkulaense +Delphinium tenii +Delphinium tephranthum +Delphinium thibeticum +Delphinium thibeticum var. laceratilobum +Delphinium tongolense +Delphinium trichophorum +Delphinium umbrosum var. drepanocentrum +Delphinium vestitum +Delphinium viridiovarium +Delphinium viscosum +Delphinium viscosum var. chrysotrichum +Delphinium wardii +Delphinium xanthanthum +Delphinium zhanangense +Delphinium zuogongense +Dichocarpum adiantifolium +Gymnaconitum gymnandrum +Halerpestes cymbalaria +Halerpestes filisecta +Halerpestes lancifolia +Halerpestes ruthenica +Halerpestes sarmentosa +Halerpestes tricuspis +Halerpestes tricuspis var. heterophylla +Halerpestes tricuspis var. intermedia +Halerpestes tricuspis var. variifolia +Oxygraphis delavayi +Oxygraphis endlicheri +Oxygraphis glacialis +Oxygraphis tenuifolia +Paraquilegia anemonoides +Paraquilegia caespitosa +Paraquilegia microphylla +Ranunculus adoxifolius +Ranunculus banguoensis +Ranunculus banguoensis var. grandiflorus +Ranunculus brotherusii +Ranunculus cantoniensis +Ranunculus chinensis +Ranunculus chuanchingensis +Ranunculus decandrus +Ranunculus densiciliatus +Ranunculus dielsianus +Ranunculus dielsianus var. suprasericeus +Ranunculus diffusus +Ranunculus dingjieensis +Ranunculus distans +Ranunculus dongrergensis +Ranunculus dongrergensis var. altifidus +Ranunculus duoxionglashanicus +Ranunculus ficariifolius +Ranunculus furcatifidus +Ranunculus glabricaulis +Ranunculus glareosus +Ranunculus hirtellus var. humilis +Ranunculus humillimus +Ranunculus indivisus +Ranunculus japonicus +Ranunculus limprichtii +Ranunculus longziensis +Ranunculus mainlingensis +Ranunculus melanogynus +Ranunculus membranaceus +Ranunculus membranaceus var. pubescens +Ranunculus minor +Ranunculus muricatus +Ranunculus natans +Ranunculus nephelogenes +Ranunculus nephelogenes var. longicaulis +Ranunculus nyalamensis +Ranunculus nyalamensis var. angustipetalus +Ranunculus oreionannos +Ranunculus pegaeus +Ranunculus popovii var. stracheyanus +Ranunculus potaninii +Ranunculus pseudopygmaeus +Ranunculus sikkimensis +Ranunculus silerifolius +Ranunculus similis +Ranunculus tanguticus +Ranunculus trigonus +Ranunculus yaoanus +Thalictrum alpinum var. elatum +Thalictrum atriplex +Thalictrum baicalense +Thalictrum changii +Thalictrum chelidonii +Thalictrum cirrhosum +Thalictrum cultratum +Thalictrum delavayi +Thalictrum diffusiflorum +Thalictrum elegans +Thalictrum finetii +Thalictrum foetidum +Thalictrum foliolosum +Thalictrum hengduanshanense +Thalictrum lecoyeri +Thalictrum leuconotum +Thalictrum longistipitatum +Thalictrum minus +Thalictrum minus subsp. maxwellii +Thalictrum nepalense +Thalictrum neurocarpum +Thalictrum platycarpum +Thalictrum przewalskii +Thalictrum reniforme +Thalictrum rostellatum +Thalictrum rotundifolium +Thalictrum rutifolium +Thalictrum saniculiforme +Thalictrum secundum +Thalictrum smithii +Thalictrum squamiferum +Thalictrum tsawarungense +Thalictrum uncatum +Thalictrum virgatum +Trollius farreri +Trollius farreri var. major +Trollius micranthus +Trollius pumilus +Trollius pumilus var. tanguticus +Trollius ranunculoides +Trollius vaginatus +Trollius yunnanensis +Meliosma angustifolia +Meliosma arnottiana +Meliosma cuneifolia +Meliosma dilleniifolia +Meliosma dumicola +Meliosma parviflora +Meliosma pinnata +Meliosma simplicifolia +Meliosma thomsonii +Meliosma yunnanensis +Sabia campanulata +Sabia campanulata subsp. ritchieae +Sabia lanceolata +Sabia parviflora +Sabia purpurea +Sabia purpurea subsp. dumicola +Sabia yunnanensis +Nelumbo nucifera +Platanus orientalis +Helicia excelsa +Helicia grandis +Helicia nilagirica +Helicia tibetensis +Helicia vestita +Helicia vestita var. longipes +Tetracentron sinense +Trochodendron aralioides +Buxus myrica +Buxus rugulosa +Buxus rugulosa var. prostrata +Buxus rugulosa var. rupicola +Buxus sinica +Sarcococca hookeriana +Sarcococca hookeriana var. digyna +Sarcococca saligna +Sarcococca wallichii +Dillenia indica +Dillenia scabrella +Tetracera sarmentosa +Tetracera scandens +Paeonia anomala subsp. veitchii +Paeonia delavayi +Paeonia emodi +Paeonia ludlowii +Paeonia sterniana +Altingia chinensis +Altingia excelsa +Corylopsis himalayana +Exbucklandia populnea +Loropetalum chinense +Daphniphyllum calycinum +Daphniphyllum chartaceum +Daphniphyllum himalense +Daphniphyllum paxianum +Itea chinensis +Itea kiukiangensis +Itea macrophylla +Itea omeiensis +Itea yunnanensis +Ribes alpestre +Ribes alpestre var. eglandulosum +Ribes alpinum +Ribes glaciale +Ribes griffithii +Ribes gyirongense +Ribes himalense +Ribes himalense var. pubicalycinum +Ribes himalense var. verruculosum +Ribes kialanum +Ribes laciniatum +Ribes luridum +Ribes orientale +Ribes pseudofasciculatum +Ribes qingzangense +Ribes qingzangense var. urceolatum +Ribes soulieanum +Ribes stenocarpum +Ribes takare +Ribes takare var. desmocarpum +Ribes tenue +Ribes xizangense +Astilbe rivularis +Astilbe rivularis var. myriantha +Astilbe rubra +Bergenia ciliata +Bergenia pacumbis +Bergenia purpurascens +Bergenia stracheyi +Chrysosplenium absconditicapsulum +Chrysosplenium arunachalense +Chrysosplenium carnosum +Chrysosplenium forrestii +Chrysosplenium griffithii +Chrysosplenium lanuginosum +Chrysosplenium nepalense +Chrysosplenium nudicaule +Chrysosplenium oxygraphoides +Chrysosplenium sikangense +Chrysosplenium uniflorum +Micranthes divaricata +Micranthes dungbooi +Micranthes lumpuensis +Micranthes melanocentra +Micranthes pallida +Rodgersia aesculifolia +Rodgersia aesculifolia var. henricii +Rodgersia nepalensis +Rodgersia pinnata +Rodgersia podophylla +Rodgersia sambucifolia +Saxifraga afghanica +Saxifraga andersonii +Saxifraga aristulata +Saxifraga aristulata var. longipila +Saxifraga assamensis +Saxifraga atuntsiensis +Saxifraga aurantiaca +Saxifraga auriculata +Saxifraga auriculata var. conaensis +Saxifraga bergenioides +Saxifraga brachypoda +Saxifraga brachypodoidea +Saxifraga brevicaulis +Saxifraga brunneopunctata +Saxifraga brunonis +Saxifraga caveana +Saxifraga caveana var. lanceolata +Saxifraga cernua +Saxifraga chionophila +Saxifraga chumbiensis +Saxifraga ciliatopetala +Saxifraga clivorum +Saxifraga coarctata +Saxifraga congestiflora +Saxifraga consanguinea +Saxifraga contraria +Saxifraga cordigera +Saxifraga decora +Saxifraga densifoliata var. nedongensis +Saxifraga deqenensis +Saxifraga diapensia +Saxifraga diffusicallosa +Saxifraga dingqingensis +Saxifraga diversifolia +Saxifraga diversifolia var. angustibracteata +Saxifraga doyalana +Saxifraga dshagalensis +Saxifraga eglandulosa +Saxifraga egregia +Saxifraga egregia var. eciliata +Saxifraga egregioides +Saxifraga elliotii +Saxifraga elliptica +Saxifraga engleriana +Saxifraga erectisepala +Saxifraga erinacea +Saxifraga filicaulis +Saxifraga filifolia +Saxifraga finitima +Saxifraga flaccida +Saxifraga gedangensis +Saxifraga glaucophylla +Saxifraga gouldii +Saxifraga gouldii var. eglandulosa +Saxifraga granulifera +Saxifraga gyalana +Saxifraga haplophylloides +Saxifraga heleonastes +Saxifraga hemisphaerica +Saxifraga hengduanensis +Saxifraga heteroclada +Saxifraga heteroclada var. aurantia +Saxifraga heterocladoides +Saxifraga heterotricha +Saxifraga heterotricha var. anadena +Saxifraga hirculoides +Saxifraga hirculus +Saxifraga hirculus var. alpina +Saxifraga hispidula +Saxifraga hookeri +Saxifraga hypericoides +Saxifraga implicans +Saxifraga isophylla +Saxifraga jacquemontiana +Saxifraga jainzhuglaensis +Saxifraga kingdonii +Saxifraga kingiana +Saxifraga kongboensis +Saxifraga lepidostolonosa +Saxifraga likiangensis +Saxifraga litangensis +Saxifraga llonakhensis +Saxifraga ludlowii +Saxifraga lychnitis +Saxifraga macrostigmatoides +Saxifraga medogensis +Saxifraga mengtzeana +Saxifraga microgyna +Saxifraga miralana +Saxifraga monantha +Saxifraga montanella +Saxifraga montanella var. retusa +Saxifraga moorcroftiana +Saxifraga mucronulata +Saxifraga mucronulatoides +Saxifraga nakaoides +Saxifraga nambulana +Saxifraga nanella +Saxifraga nanella var. glabrisepala +Saxifraga nangxianensis +Saxifraga nigroglandulifera +Saxifraga nigroglandulosa +Saxifraga omphalodifolia +Saxifraga oppositifolia +Saxifraga oreophila +Saxifraga paiquensis +Saxifraga pardanthina +Saxifraga parkaensis +Saxifraga parnassiifolia +Saxifraga parva +Saxifraga perpusilla +Saxifraga pilopetala +Saxifraga prattii +Saxifraga przewalskii +Saxifraga pseudohirculus +Saxifraga pulchra +Saxifraga pulvinaria +Saxifraga punctulata +Saxifraga punctulata var. minuta +Saxifraga punctulatoides +Saxifraga rotundipetala +Saxifraga rufescens +Saxifraga saginoides +Saxifraga sanguinea +Saxifraga sediformis +Saxifraga sessiliflora +Saxifraga sheqilaensis +Saxifraga sibirica +Saxifraga signata +Saxifraga signatella +Saxifraga sinomontana +Saxifraga sphaeradena +Saxifraga sphaeradena subsp. dhwojii +Saxifraga stella-aurea +Saxifraga stella-aurea var. macrostellata +Saxifraga stenophylla +Saxifraga strigosa +Saxifraga subaequifoliata +Saxifraga subsessiliflora +Saxifraga substrigosa +Saxifraga subternata +Saxifraga subtsangchanensis +Saxifraga tangutica +Saxifraga tangutica var. platyphylla +Saxifraga taraktophylla +Saxifraga tentaculata +Saxifraga tibetica +Saxifraga tigrina +Saxifraga tsangchanensis +Saxifraga umbellulata +Saxifraga umbellulata var. muricola +Saxifraga umbellulata var. pectinata +Saxifraga unguiculata +Saxifraga viscidula +Saxifraga wallichiana +Saxifraga wardii +Saxifraga wardii var. glabripedicellata +Saxifraga yarlungzangboensis +Saxifraga zayuensis +Tiarella polyphylla +Bryophyllum pinnatum +Kalanchoe ceratophylla +Kalanchoe integra +Ohbaea balfourii +Orostachys spinosa +Orostachys thyrsiflora +Rhodiola alsia +Rhodiola alsia subsp. kawaguchii +Rhodiola alterna +Rhodiola amabilis +Rhodiola atsaensis +Rhodiola atuntsuensis +Rhodiola bupleuroides +Rhodiola calliantha +Rhodiola chrysanthemifolia +Rhodiola coccinea +Rhodiola coccinea subsp. scabrida +Rhodiola crenulata +Rhodiola cretinii +Rhodiola cretinii subsp. sinoalpina +Rhodiola discolor +Rhodiola dumulosa +Rhodiola fastigiata +Rhodiola heterodonta +Rhodiola himalensis +Rhodiola himalensis subsp. taohoensis +Rhodiola hobsonii +Rhodiola humilis +Rhodiola humilis var. jialiensis +Rhodiola imbricata +Rhodiola kaschgarica +Rhodiola kirilowii +Rhodiola litwinowii +Rhodiola macrocarpa +Rhodiola namlingensis +Rhodiola nepalica +Rhodiola nobilis +Rhodiola ovatisepala +Rhodiola ovatisepala var. chingii +Rhodiola prainii +Rhodiola primuloides +Rhodiola primuloides subsp. kongboensis +Rhodiola purpureoviridis +Rhodiola purpureoviridis subsp. phariensis +Rhodiola quadrifida +Rhodiola sacra +Rhodiola sacra var. tsuiana +Rhodiola sedoides +Rhodiola serrata +Rhodiola sexifolia +Rhodiola sherriffii +Rhodiola sinuata +Rhodiola smithii +Rhodiola stapfii +Rhodiola tangutica +Rhodiola tibetica +Rhodiola tieghemii +Rhodiola tricarpa +Rhodiola wallichiana +Rhodiola wallichiana var. cholaensis +Rhodiola wangii +Rhodiola yunnanensis +Rosularia alpestris +Sedum alfredii +Sedum bergeri +Sedum celatum +Sedum chauveaudii +Sedum emarginatum +Sedum erici-magnusii +Sedum fedtschenkoi +Sedum fischeri +Sedum gagei +Sedum glaebosum +Sedum heckelii +Sedum hengduanense +Sedum henrici-robertii +Sedum longyanense +Sedum lutzii +Sedum majus +Sedum multicaule +Sedum multicaule subsp. rugosum +Sedum obtrullatum +Sedum obtusipetalum +Sedum oreades +Sedum przewalskii +Sedum raymondii +Sedum roborowskii +Sedum shigatsense +Sedum sinoglaciale +Sedum susanneae +Sedum susanneae var. macrosepalum +Sedum triactina +Sedum trullipetalum +Sedum trullipetalum var. ciliatum +Sedum tsonanum +Sedum ulricae +Sinocrassula densirosulata +Sinocrassula indica +Sinocrassula indica var. luteorubra +Sinocrassula indica var. obtusifolia +Sinocrassula indica var. serrata +Sinocrassula indica var. viridiflora +Sinocrassula paoshingensis var. spinulosa +Sinocrassula techinensis +Tillaea schimperi +Gonocarpus micranthus +Myriophyllum spicatum +Myriophyllum verticillatum +Ampelocissus barbata +Ampelocissus divaricata +Ampelocissus latifolia +Ampelocissus sikkimensis +Ampelocissus xizangensis +Ampelopsis acutidentata +Ampelopsis bodinieri +Ampelopsis bodinieri var. cinerea +Causonis corniculata +Causonis japonica +Causonis medogensis +Causonis trifolia +Cayratia geniculata +Cayratia mollissima +Cayratia pedata +Cissus adnata +Cissus assamica +Cissus heyneana +Cissus javana +Cissus repanda +Cissus repens +Leea aequata +Leea alata +Leea asiatica +Leea compactiflora +Leea guineense +Leea indica +Leea macrophylla +Nekemias grossedentata +Parthenocissus feddei +Parthenocissus henryana +Parthenocissus semicordata +Tetrastigma bracteolatum +Tetrastigma delavayi +Tetrastigma dubium +Tetrastigma hemsleyanum +Tetrastigma henryi +Tetrastigma hypoglaucum +Tetrastigma jinghongense +Tetrastigma lenticellatum +Tetrastigma obovatum +Tetrastigma obtectum +Tetrastigma planicaule +Tetrastigma rumicispermum +Tetrastigma rumicispermum var. lasiogynum +Tetrastigma rupestre +Tetrastigma serrulatum +Tetrastigma serrulatum var. puberulum +Tetrastigma sichouense var. megalocarpum +Tetrastigma thomsonianum +Tetrastigma triphyllum var. hirtum +Tetrastigma xizangense +Tetrastigma yunnanense +Vitis betulifolia +Vitis heyneana +Vitis vinifera +Tribulus terrestris +Aganope polystachya +Albizia chinensis +Albizia julibrissin +Albizia kalkora +Albizia lebbeck +Albizia lucidior +Albizia mollis +Albizia odoratissima +Albizia procera +Albizia sherriffii +Alysicarpus glumaceus +Amphicarpaea edgeworthii +Amphicarpaea ferruginea +Apios carnea +Apios delavayi +Apios fortunei +Apios macrantha +Arachis hypogaea +Archidendron arunachalense +Archidendron bigeminum +Archidendron clypearia +Archidendron nielsenianum +Astragalus acaulis +Astragalus arnoldii +Astragalus austrotibetanus +Astragalus batangensis +Astragalus baxoiensis +Astragalus bhotanensis +Astragalus blandulus +Astragalus bouffordii +Astragalus brachytrichus +Astragalus breviscapus +Astragalus caeruleopetalinus +Astragalus caeruleopetalinus var. glabricarpus +Astragalus chagyabensis +Astragalus changduensis +Astragalus changmuicus +Astragalus cobresiiphilus +Astragalus coluteocarpus +Astragalus conaensis +Astragalus confertus +Astragalus crassifolius +Astragalus damxungensis +Astragalus degensis +Astragalus degensis var. rockianus +Astragalus densiflorus +Astragalus densiflorus var. konlonicus +Astragalus despectus +Astragalus dingjiensis +Astragalus dumetorum +Astragalus ernestii +Astragalus falconeri +Astragalus fenzelianus +Astragalus floridulus +Astragalus graveolens +Astragalus hancockii +Astragalus hedinii +Astragalus heterodontus +Astragalus hoffmeisteri +Astragalus hysophilus +Astragalus jiazaensis +Astragalus khasianus +Astragalus kialensis +Astragalus kukunoricus +Astragalus kuschakewiczii +Astragalus laetabilis +Astragalus lamalaensis +Astragalus laxmannii +Astragalus lessertioides +Astragalus leucocephalus +Astragalus lhorongensis +Astragalus li-nii +Astragalus longiscapus +Astragalus lucidus +Astragalus malcolmii +Astragalus maowensis +Astragalus mattam +Astragalus mekongensis +Astragalus melanostachys +Astragalus membranaceus +Astragalus membranaceus var. mongholicus +Astragalus minhensis +Astragalus minutidentatus +Astragalus monbeigii +Astragalus montivagus +Astragalus muliensis +Astragalus multiceps +Astragalus munroi +Astragalus nanfengensis +Astragalus nangxianensis +Astragalus nematodioides +Astragalus oplites +Astragalus orbicularifolius +Astragalus oreocharis +Astragalus peduncularis +Astragalus peterae +Astragalus polyacanthus +Astragalus polycladus +Astragalus porphyrocalyx +Astragalus praeteritus +Astragalus przewalskii +Astragalus pullus +Astragalus pycnorhizus +Astragalus rhizanthus +Astragalus rhododendrophilus +Astragalus rigidulus +Astragalus saxorum +Astragalus scaberrimus +Astragalus semicircularis +Astragalus sikkimensis +Astragalus skythropos +Astragalus smithianus +Astragalus stalinskyi +Astragalus stipulatus +Astragalus strictus +Astragalus subansiriensis +Astragalus subuliformis +Astragalus tatsienensis +Astragalus tatsienensis var. kangrenbuchiensis +Astragalus tenuicaulis +Astragalus tibeticola +Astragalus tongolensis +Astragalus tongolensis var. breviflorus +Astragalus tongolensis var. glaber +Astragalus tsangpoensis +Astragalus tsataensis +Astragalus tumbatsicus +Astragalus variabilis +Astragalus verus +Astragalus webbianus +Astragalus yunnanensis +Astragalus zacharensis +Astragalus zadaensis +Astragalus zayuensis +Bauhinia acuminata +Bauhinia brachycarpa +Bauhinia purpurea +Bauhinia variegata +Biancaea decapetala +Butea monosperma +Cajanus cajan +Cajanus crassus +Cajanus elongatus +Cajanus goensis +Cajanus scarabaeoides +Callerya cinerea +Campylotropis alopochroa +Campylotropis brevifolia +Campylotropis delavayi +Campylotropis hirtella +Campylotropis luhitensis +Campylotropis macrocarpa +Campylotropis polyantha +Campylotropis speciosa subsp. eriocarpa +Campylotropis yunnanensis +Canavalia ensiformis +Caragana aegacanthoides +Caragana aliensis +Caragana bicolor +Caragana brevifolia +Caragana changduensis +Caragana chinghaiensis +Caragana chumbica +Caragana crassispina +Caragana cuneatoalata +Caragana densa +Caragana erinacea +Caragana franchetiana +Caragana franchetiana var. gyirongensis +Caragana gerardiana +Caragana jubata +Caragana jubata var. czetyrkininii +Caragana junatovii +Caragana kozlowii +Caragana opulens +Caragana spinifera +Caragana stenophylla +Caragana sukiensis +Caragana tangutica +Caragana tibetica +Caragana versicolor +Cassia fistula +Cassia javanica +Chamaecrista leschenaultiana +Chamaecrista mimosoides +Chamaecrista nomame +Cheniella ovatifolia +Cheniella quinnanensis subsp. gandhiana +Cheniella tenuiflora +Chesneya acaulis +Chesneya crassipes +Chesneya cuneata +Chesneya nubigena +Chesneya nubigena subsp. purpurea +Chesneya polystichoides +Chesneya spinosa +Cicer arietinum +Cicer microphyllum +Clitoria mariana +Cochlianthus gracilis +Codariocalyx gyroides +Codariocalyx motorius +Colutea nepalensis +Corethrodendron lignosum var. laeve +Corethrodendron multijugum +Corethrodendron scoparium +Crotalaria alata +Crotalaria albida +Crotalaria calycina +Crotalaria cytisoides +Crotalaria ferruginea +Crotalaria juncea +Crotalaria laburnifolia +Crotalaria mairei +Crotalaria mysorensis +Crotalaria pallida +Crotalaria retusa +Crotalaria sessiliflora +Crotalaria spectabilis +Crotalaria tetragona +Crotalaria yunnanensis +Cynometra polyandra +Cytisus scoparius +Dalbergia assamica +Dalbergia lanceolaria +Dalbergia mimosoides +Dalbergia oliveri +Dalbergia pinnata +Dalbergia rimosa +Dalbergia sericea +Dalbergia sissoo +Dalbergia stipulacea +Dalhousiea bracteata +Dendrolobium triangulare +Derris acuminata +Derris cuneifolia +Derris ferruginea +Derris microptera +Derris scabricaulis +Derris scandens +Derris secunda +Derris taiwaniana +Dumasia cordifolia +Dumasia forrestii +Dumasia hirsuta +Dumasia villosa +Dumasia yunnanensis var. arunachalensis +Dysolobium grande +Dysolobium lucens +Entada phaseoloides +Entada pursaetha subsp. sinohimalensis +Entada rheedei +Eriosema himalaicum +Erythrina arborescens +Erythrina stricta +Euchresta horsfieldii +Flemingia macrophylla +Flemingia strobilifera +Gleditsia fera +Gleditsia japonica var. delavayi +Gleditsia medogensis +Glycine max +Grona griffithiana +Grona heterocarpos +Grona reticulata +Grona triflora +Gueldenstaedtia verna +Guilandina bonduc +Gymnocladus assamicus +Gymnocladus chinensis +Haymondia wallichii +Hedysarum campylocarpon +Hedysarum citrinum +Hedysarum cuonanum +Hedysarum falconeri +Hedysarum hirtifoliolum +Hedysarum kumaonense +Hedysarum limitaneum +Hedysarum longigynophorum +Hedysarum nagarzense +Hedysarum pseudastragalus +Hedysarum sikkimense +Hedysarum tanguticum +Hedysarum vicioides +Hedysarum xizangense +Huangtcia renifolia +Huchimingia piscidia +Hylodesmum leptopus +Hylodesmum podocarpum +Hylodesmum podocarpum subsp. oxyphyllum +Hylodesmum repandum +Hylodesmum williamsii +Indigofera arrecta +Indigofera atropurpurea +Indigofera balfouriana +Indigofera bracteata +Indigofera bungeana +Indigofera cylindracea +Indigofera dolichochaete +Indigofera dosua +Indigofera hancockii +Indigofera hebepetala +Indigofera hebepetala var. glabra +Indigofera heterantha +Indigofera lenticellata +Indigofera linifolia +Indigofera litoralis +Indigofera mairei +Indigofera nigrescens +Indigofera reticulata +Indigofera rigioclada +Indigofera scabrida +Indigofera sesquipedalis +Indigofera silvestrii +Indigofera souliei +Indigofera stachyodes +Indigofera subverticellata +Indigofera szechuensis +Indigofera tinctoria +Indigofera trifoliata +Indigofera trita +Kummerowia striata +Lablab purpureus +Lathyrus palustris var. exalatus +Lathyrus sativus +Leptodesmia microphylla +Lespedeza cuneata +Lespedeza davurica +Lespedeza fasciculiflora +Lespedeza gerardiana +Lespedeza hengduanshanensis +Lespedeza hispida +Lespedeza juncea +Lespedeza pilosa +Lespedeza potaninii +Lespedeza thunbergii subsp. elliptica +Lespedeza thunbergii subsp. formosa +Lespedeza tomentosa +Leucaena leucocephala +Lotus corniculatus +Lupinus polyphyllus +Mastersia assamica +Medicago archiducis-nicolai +Medicago edgeworthii +Medicago falcata +Medicago lupulina +Medicago minima +Medicago polymorpha +Medicago ruthenica +Medicago sativa +Meizotropis buteiformis +Melilotus albus +Melilotus indicus +Melilotus officinalis +Mezoneuron cucullatum +Mezoneuron enneaphyllum +Millettia extensa +Millettia pulchra +Mimosa pudica +Mimosa rubicaulis subsp. himalayana +Moullava tortuosa +Mucuna hainanensis subsp. multilamellata +Mucuna macrocarpa +Mucuna pruriens +Neustanthus phaseoloides +Ohwia caudata +Ormosia robusta +Ototropis conferta +Ototropis likabalia +Ototropis multiflora +Oxytropis avisoides +Oxytropis baxoiensis +Oxytropis biflora +Oxytropis brevipedunculata +Oxytropis cachemiriana +Oxytropis cinerascens +Oxytropis coerulea +Oxytropis deflexa +Oxytropis densa +Oxytropis densiflora +Oxytropis densiflora var. multiramosa +Oxytropis falcata +Oxytropis gerzeensis +Oxytropis glabra +Oxytropis humifusa +Oxytropis imbricata +Oxytropis kansuensis +Oxytropis lapponica +Oxytropis latialata +Oxytropis lehmannii +Oxytropis lhasaensis +Oxytropis linearibracteata +Oxytropis longialata +Oxytropis malloryana +Oxytropis melanocalyx +Oxytropis microphylla +Oxytropis mollis +Oxytropis myriophylla +Oxytropis ochrantha +Oxytropis ochrocephala +Oxytropis ochrolongibracteata +Oxytropis parasericeopetala +Oxytropis pauciflora +Oxytropis platysema +Oxytropis podoloba +Oxytropis proboscidea +Oxytropis pseudocoerulea +Oxytropis pusilla +Oxytropis qamdoensis +Oxytropis qilianshanica +Oxytropis qinghaiensis +Oxytropis reniformis +Oxytropis savellanica +Oxytropis sericopetala +Oxytropis sichuanica +Oxytropis stracheyana +Oxytropis subpodoloba +Oxytropis tatarica +Oxytropis thomsonii +Oxytropis tragacanthoides +Oxytropis tudanensis +Oxytropis yunnanensis +Pachyrhizus erosus +Parkia timoriana +Parochetus communis +Peltophorum pterocarpum +Phanera macrostachya +Phanera ornata var. kerrii +Phanera scandens +Phanera vahlii +Phaseolus vulgaris +Phyllodium pulchellum +Phyllolobium camptodontum +Phyllolobium chapmanianum +Phyllolobium donianum +Phyllolobium heydei +Phyllolobium lasaense +Phyllolobium milingense +Phyllolobium pastorium +Phyllolobium prodigiosum +Phyllolobium sanbilingense +Phyllolobium tanguticum +Phyllolobium tingriense +Phyllolobium tribulifolium +Piptanthus concolor +Piptanthus nepalensis +Piptanthus nepalensis var. leiocarpus +Piptanthus nepalensis var. sericopetalus +Piptanthus tomentosus +Pisum sativum +Pithecellobium dulce +Pleurolobus gangeticus +Polhillides velutina +Pongamia pinnata +Pterolobium punctatum +Pueraria bella +Pueraria montana +Pueraria montana var. lobata +Pueraria montana var. thomsonii +Puhuaea megaphylla +Puhuaea sequax +Rhynchosia himalensis +Rhynchosia himalensis var. craibiana +Robinia pseudoacacia +Salweenia wardii +Saraca asoca +Senegalia caesia +Senegalia catechu +Senegalia megaladena +Senegalia pennata +Senegalia pruinescens +Senegalia rugata +Senna × floribunda +Senna alata +Senna occidentalis +Senna tora +Sesbania bispinosa +Shuteria vestita +Smithia ciliata +Smithia grandis +Smithia sensitiva +Sohmaea laxiflora +Sophora benthamii +Sophora davidii +Sophora davidii var. chuansiensis +Sophora moorcroftiana +Sophora moorcroftiana f. albiflora +Stracheya tibetica +Styphnolobium japonicum +Sunhangia calliantha +Sunhangia elegans +Sunhangia elegans var. handelii +Sunhangia stenophylla +Sunhangia yunnanensis +Tamarindus indica +Tateishia concinna +Tephrosia candida +Thermopsis alpina +Thermopsis alpina var. licentiana +Thermopsis barbata +Thermopsis barbata f. chrysanthus +Thermopsis inflata +Thermopsis lanceolata +Thermopsis lupinoides +Thermopsis przewalskii +Thermopsis smithiana +Tibetia forrestii +Tibetia himalaica +Tibetia tongolensis +Tibetia yadongensis +Tibetia yunnanensis +Tibetia yunnanensis var. coelestis +Toxicopueraria peduncularis +Trifolium pratense +Trifolium repens +Trigonella cachemiriana +Trigonella emodi +Trigonella fimbriata +Trigonella foenum-graecum +Trigonella gracilis +Uraria clarkei +Uraria crinita +Uraria lacei +Uraria lagopus +Uraria oblonga +Uraria rufescens +Vicia amoena +Vicia angustifolia +Vicia bakeri +Vicia bungei +Vicia cracca +Vicia faba +Vicia hirsuta +Vicia lens +Vicia megalotropis +Vicia multicaulis +Vicia nummularia +Vicia sativa +Vicia tibetica +Vicia unijuga +Vigna aconitifolia +Vigna angularis +Vigna clarkei +Vigna hirtella +Vigna trilobata +Vigna umbellata +Vigna unguiculata +Zornia gibbosa +Polygala arillata +Polygala bomiensis +Polygala crotalarioides +Polygala elegans +Polygala erioptera +Polygala furcata +Polygala globulifera +Polygala globulifera var. longiracemosa +Polygala karensium +Polygala lhunzeensis +Polygala longifolia +Polygala monopetala +Polygala persicariifolia +Polygala sibirica +Polygala tatarinowii +Polygala tenuifolia +Polygala triflora +Polygala wattersii +Salomonia cantoniensis +Salomonia ciliata +Securidaca inappendiculata +Xanthophyllum burkillii +Xanthophyllum flavescens +Xanthophyllum griffithii +Acomastylis elata +Acomastylis elata var. humilis +Acomastylis macrosepala +Agrimonia pilosa +Agrimonia pilosa var. nepalensis +Alchemilla glabra +Alchemilla gracilis +Alchemilla japonica +Argentina anserina +Argentina aristata +Argentina contigua +Argentina glabriuscula +Argentina glabriuscula var. oligandra +Argentina gracilescens +Argentina interrupta +Argentina leuconota +Argentina leuconota var. brachyphyllaria +Argentina lineata +Argentina luteopilosa +Argentina micropetala +Argentina microphylla +Argentina peduncularis +Argentina phanerophlebia +Argentina polyphylla +Argentina songzhuensis +Argentina stenophylla +Argentina stenophylla var. emergens +Argentina tapetodes +Argentina turfosa +Aruncus gombalanus +Aruncus sylvester +Chaenomeles cathayensis +Chaenomeles japonica +Chaenomeles speciosa +Chaenomeles thibetica +Chamaecallis perpusilloides +Chamaerhodos sabulosa +Coluria longifolia +Cotoneaster acuminatus +Cotoneaster acutifolius +Cotoneaster acutifolius var. villosulus +Cotoneaster adpressus +Cotoneaster affinis +Cotoneaster ataensis +Cotoneaster bacillaris +Cotoneaster bullatus +Cotoneaster buxifolius +Cotoneaster buxifolius var. marginatus +Cotoneaster buxifolius var. rockii +Cotoneaster capsicinus +Cotoneaster conspicuus +Cotoneaster dammeri +Cotoneaster dielsianus +Cotoneaster dielsianus var. elegans +Cotoneaster divaricatus +Cotoneaster foveolatus +Cotoneaster franchetii +Cotoneaster frigidus +Cotoneaster glomerulatus +Cotoneaster gracilis +Cotoneaster harrysmithii +Cotoneaster hebephyllus +Cotoneaster horizontalis +Cotoneaster kingdonii +Cotoneaster microphyllus +Cotoneaster microphyllus var. cochleatus +Cotoneaster microphyllus var. glacialis +Cotoneaster microphyllus var. thymifolius +Cotoneaster moupinensis +Cotoneaster multiflorus +Cotoneaster multiflorus var. atropurpureus +Cotoneaster nitidus +Cotoneaster obscurus +Cotoneaster pannosus +Cotoneaster poluninii +Cotoneaster reticulatus +Cotoneaster rotundifolius +Cotoneaster rubens +Cotoneaster sanguineus +Cotoneaster shannanensis +Cotoneaster sherriffii +Cotoneaster simonsii +Cotoneaster soongoricus +Cotoneaster submultiflorus +Cotoneaster taylorii +Cotoneaster tenuipes +Cotoneaster tsarongensis +Cotoneaster verruculosus +Cotoneaster wardii +Dasiphora arbuscula +Dasiphora dryadanthoides +Dasiphora fruticosa +Dasiphora glabra +Dasiphora mandshurica +Dasiphora parvifolia +Dasiphora spectabilis +Docynia indica +Dryadanthe pentaphylla +Dryadanthe tetrandra +Duchesnea chrysantha +Duchesnea indica +Duchesnea indica var. microphylla +Eriobotrya elliptica +Fragaria daltoniana +Fragaria gracilis +Fragaria moupinensis +Fragaria nilgerrensis +Fragaria nubicola +Fragaria orientalis +Fragaria pentaphylla +Fragaria tibetica +Fragaria vesca +Fragariastrum articulatum +Fragariastrum biflorum +Fragariastrum eriocarpum +Geum aleppicum +Geum japonicum var. chinense +Malus baccata +Malus bhutanica +Malus hupehensis +Malus ombrophila +Malus pumila +Malus rockii +Malus sikkimensis +Malus spectabilis +Malus spectabilis var. riversii +Malus transitoria +Malus transitoria var. glabrescens +Malus yunnanensis +Malus yunnanensis var. veitchii +Micromeles cuspidata +Neillia affinis +Neillia densiflora +Neillia grandiflora +Neillia rubiflora +Neillia serratisepala +Neillia thibetica +Neillia thyrsiflora +Neillia thyrsiflora var. tunkinensis +Osteomeles schwerinae +Osteomeles schwerinae var. microphylla +Photinia beauverdiana +Photinia griffithii +Photinia integrifolia +Photinia megaphylla +Photinia prunifolia +Potentilla articulata var. latipetiolata +Potentilla atrosanguinea +Potentilla atrosanguinea var. argyrophylla +Potentilla biflora var. lahulensis +Potentilla bifurca var. humilior +Potentilla bryoides +Potentilla chinensis +Potentilla compacta +Potentilla conferta +Potentilla conferta var. trijuga +Potentilla coriandrifolia +Potentilla coriandrifolia var. dumosa +Potentilla crenulata +Potentilla cuneata +Potentilla delavayi +Potentilla eriocarpa var. tsarongensis +Potentilla gelida +Potentilla glabra var. veitchii +Potentilla granulosa +Potentilla griffithii +Potentilla griffithii var. velutina +Potentilla hypargyrea +Potentilla hypargyrea var. subpinnata +Potentilla kleiniana +Potentilla lancinata +Potentilla longifolia +Potentilla macrosepala +Potentilla monanthes var. sibthorpioides +Potentilla multicaulis +Potentilla multiceps +Potentilla multifida +Potentilla multifida var. minor +Potentilla multifida var. ornithopoda +Potentilla nepalensis +Potentilla nervosa +Potentilla nivea +Potentilla pamiroalaica +Potentilla parvifolia var. hypoleuca +Potentilla peduncularis var. abbreviata +Potentilla plumosa +Potentilla potaninii +Potentilla potaninii var. compsophylla +Potentilla saundersiana +Potentilla saundersiana var. caespitosa +Potentilla saundersiana var. jacquemontii +Potentilla saundersiana var. subpinnata +Potentilla sericea +Potentilla sericea var. polyschista +Potentilla squalida +Potentilla stipitata +Potentilla sundaica +Potentilla supina +Potentilla xizangensis +Pourthiaea arguta +Prinsepia utilis +Prunus arborea var. montana +Prunus armeniaca +Prunus armeniaca var. holosericea +Prunus avium +Prunus buergeriana +Prunus caudata +Prunus cerasifera +Prunus cerasoides +Prunus ceylanica +Prunus clarofolia +Prunus conadenia +Prunus cornuta +Prunus crataegifolia +Prunus davidiana +Prunus discadenia +Prunus gongshanensis +Prunus gyirongensis +Prunus himalayana +Prunus hypoleuca +Prunus hypoxantha +Prunus laurocerasus +Prunus mira +Prunus mugus +Prunus mume +Prunus napaulensis +Prunus obtusata +Prunus persica +Prunus phaeosticta +Prunus pseudocerasus +Prunus rufa +Prunus salicina +Prunus serrula +Prunus tomentosa +Prunus trichantha +Prunus trichostoma +Prunus undulata +Prunus yaoiana +Pygeum wilsonii +Pyracantha angustifolia +Pyracantha crenulata +Pyracantha fortuneana +Pyrus betulifolia +Pyrus pashia +Pyrus ussuriensis +Pyrus xerophila +Rhaphiolepis bengalensis +Rhaphiolepis dubia +Rhaphiolepis petiolata +Rhaphiolepis tengyuehensis +Rhaphiolepis williamtelliana +Rosa brunonii +Rosa chinensis var. spontanea +Rosa duplicata +Rosa filipes +Rosa forrestiana +Rosa glomerata +Rosa graciliflora +Rosa hybrida +Rosa leschenaultiana +Rosa macrophylla +Rosa macrophylla var. glandulifera +Rosa mairei +Rosa moyesii +Rosa murielae +Rosa omeiensis +Rosa roxburghii +Rosa sericea +Rosa sertata +Rosa sikangensis +Rosa soulieana +Rosa soulieana var. microphylla +Rosa soulieana var. sungpanensis +Rosa soulieana var. yunnanensis +Rosa sweginzowii +Rosa sweginzowii var. glandulosa +Rosa sweginzowii var. inermis +Rosa taronensis +Rosa tibetica +Rosa webbiana +Rosa willmottiae +Rosa willmottiae var. glandulifera +Rosa zhongdianensis +Rubus acuminatus +Rubus alceifolius +Rubus alexeterius +Rubus alexeterius var. acaenocalyx +Rubus assamensis +Rubus aurantiacus +Rubus austrotibetanus +Rubus biflorus +Rubus biflorus var. adenophorus +Rubus biflorus var. pubescens +Rubus birmanicus +Rubus burkillii +Rubus calophyllus +Rubus calycinus +Rubus cockburnianus +Rubus columellaris +Rubus efferatus +Rubus ellipticus +Rubus ellipticus var. obcordatus +Rubus erythrocarpus +Rubus fairholmianus +Rubus flosculosus +Rubus fockeanus +Rubus franchetianus var. pubescens +Rubus ghanakantae +Rubus gyamdaensis +Rubus hamiltonii +Rubus haridasanii +Rubus hexagynus +Rubus hypopitys +Rubus hypopitys var. hanmiensis +Rubus idaeopsis +Rubus innominatus +Rubus innominatus var. kuntzeanus +Rubus inopertus +Rubus insignis +Rubus irritans +Rubus kumaonensis +Rubus lineatus +Rubus lucens +Rubus macilentus +Rubus maershanensis +Rubus mesogaeus +Rubus metoensis +Rubus naruhashii +Rubus niveus +Rubus nyalamensis +Rubus ovatisepalus +Rubus paniculatus +Rubus pectinarioides +Rubus pectinaris +Rubus pedunculosus +Rubus pentagonus +Rubus ptilocarpus +Rubus pungens +Rubus quinquefoliolatus +Rubus ramachandrae +Rubus rosifolius +Rubus sengorensis +Rubus setchuenensis +Rubus sikkimensis +Rubus splendidissimus +Rubus stans +Rubus stans var. soulieanus +Rubus stimulans +Rubus subinopertus +Rubus subornatus +Rubus sumatranus +Rubus taronensis +Rubus treutleri +Rubus trianthus +Rubus trijugus +Rubus wallichianus +Rubus wardii +Sanguisorba diandra +Sanguisorba filiformis +Sanguisorba officinalis +Sibbaldia aphanopetala +Sibbaldia cuneata +Sibbaldia procumbens +Sibbaldia purpurea +Sibbaldia purpurea var. macropetala +Sibbaldianthe adpressa +Sibbaldianthe bifurca +Sibiraea angustata +Sibiraea laevigata +Sorbaria arborea +Sorbaria arborea var. subtomentosa +Sorbaria kirilowii +Sorbus albopilosa +Sorbus alnifolia +Sorbus astateria +Sorbus coronata +Sorbus coronata var. glabrescens +Sorbus doshonglaensis +Sorbus filipes +Sorbus foliolosa +Sorbus gongshanensis +Sorbus griffithii +Sorbus heseltinei +Sorbus insignis +Sorbus keissleri +Sorbus kiukiangensis +Sorbus kongboensis +Sorbus macallisteri +Sorbus macrantha +Sorbus megacarpa +Sorbus microphylla +Sorbus ochracea +Sorbus oligodonta +Sorbus pallescens +Sorbus parvifructa +Sorbus prattii +Sorbus prattii var. aestivalis +Sorbus pteridophylla +Sorbus rehderiana +Sorbus rehderiana var. cupreonitens +Sorbus rehderiana var. grosseserrata +Sorbus rufopilosa +Sorbus rushforthii +Sorbus subochracea +Sorbus thibetica +Sorbus thomsonii +Sorbus vestita +Sorbus vilmorinii +Sorbus wilsoniana +Sorbus zayuensis +Spenceria ramalana +Spenceria ramalana var. parviflora +Spiraea alpina +Spiraea arcuata +Spiraea bella +Spiraea bella var. pubicarpa +Spiraea canescens +Spiraea canescens var. glaucophylla +Spiraea cantoniensis +Spiraea expansa +Spiraea japonica +Spiraea japonica var. acuminata +Spiraea japonica var. ovalifolia +Spiraea japonica var. pinnatifida +Spiraea laeta var. tenuis +Spiraea lasiocarpa +Spiraea lobulata +Spiraea longigemmis +Spiraea micrantha +Spiraea mollifolia +Spiraea mollifolia var. denudata +Spiraea myrtilloides +Spiraea ovalis +Spiraea purpurea +Spiraea schneideriana +Spiraea schneideriana var. amphidoxa +Spiraea subdioica +Spiraea thibetica +Spiraea vacciniifolia +Spiraea velutina +Spiraea velutina var. glabrescens +Spiraea xizangensis +Spiraea yunnanensis +Stranvaesia nussia +Thomsonaria verticillata +Elaeagnus bockii var. muliensis +Elaeagnus caudata +Elaeagnus conferta +Elaeagnus henryi +Elaeagnus infundibularis +Elaeagnus kanaii +Elaeagnus lanceolata +Elaeagnus lanpingensis +Elaeagnus pyriformis +Elaeagnus sarmentosa +Elaeagnus umbellata +Elaeagnus xizangensis +Hippophae gyantsensis +Hippophae neurocarpa +Hippophae rhamnoides +Hippophae rhamnoides subsp. sinensis +Hippophae rhamnoides subsp. turkestanica +Hippophae rhamnoides subsp. yunnanensis +Hippophae salicifolia +Hippophae tibetana +Berchemia edgeworthii +Berchemia flavescens +Berchemia floribunda +Berchemia longipedicellata +Berchemia medogensis +Berchemia yunnanensis +Frangula henryi +Gouania leptostachya +Hovenia acerba +Hovenia acerba var. kiukiangensis +Hovenia dulcis +Paliurus ramosissimus +Rhamnella forrestii +Rhamnella gilgitica +Rhamnella martini +Rhamnella wilsonii +Rhamnus dumetorum +Rhamnus dumetorum var. crenoserrata +Rhamnus flavescens +Rhamnus gilgiana +Rhamnus minuta +Rhamnus napalensis +Rhamnus parvifolia +Rhamnus procumbens +Rhamnus prostrata +Rhamnus rosthornii +Rhamnus sargentiana +Rhamnus tangutica +Rhamnus virgata +Rhamnus virgata var. hirsuta +Rhamnus xizangensis +Sageretia filiformis +Sageretia gracilis +Sageretia hamosa +Sageretia horrida +Sageretia paucicostata +Sageretia subcaudata +Sageretia yunlongensis +Ventilago denticulata +Ventilago madraspatana +Ziziphus apetala +Ziziphus incurva +Ziziphus jujuba var. inermis +Ziziphus mauritiana +Ziziphus montana +Ziziphus oenopolia +Ziziphus rugosa +Ulmus androssowii var. subhirsuta +Ulmus bergmanniana +Ulmus bergmanniana var. lasiophylla +Ulmus lanceifolia +Ulmus microcarpa +Ulmus pumila +Zelkova schneideriana +Cannabis sativa +Celtis australis +Celtis bungeana +Celtis cerasifera +Celtis sinensis +Celtis tetrandra +Celtis timorensis +Celtis vandervoetiana +Humulus scandens +Trema angustifolia +Trema levigata +Trema orientalis +Trema tomentosa +Allaeanthus kurzii +Artocarpus chama +Artocarpus gomezianus +Artocarpus heterophyllus +Artocarpus lakoocha +Broussonetia kaempferi +Broussonetia kazinoki +Broussonetia papyrifera +Ficus abelii +Ficus altissima +Ficus auriculata +Ficus benjamina +Ficus carica +Ficus concinna +Ficus curtipes +Ficus cyrtophylla +Ficus drupacea var. pubescens +Ficus elastica +Ficus esquiroliana +Ficus filicauda +Ficus filicauda var. longipes +Ficus fistulosa +Ficus fulva +Ficus gasparriniana +Ficus gasparriniana var. laceratifolia +Ficus geniculata +Ficus glaberrima +Ficus hederacea +Ficus henryi +Ficus heterophylla +Ficus heteropleura +Ficus hirta +Ficus hispida +Ficus hookeriana +Ficus ischnopoda +Ficus laevis +Ficus lamponga +Ficus langkokensis +Ficus maclellandii +Ficus microcarpa +Ficus motuoensis +Ficus neriifolia +Ficus nervosa +Ficus oligodon +Ficus prostrata +Ficus pubigera +Ficus pubigera var. maliformis +Ficus religiosa +Ficus rigida +Ficus rumphii +Ficus sagittata +Ficus sarmentosa +Ficus sarmentosa var. henryi +Ficus sarmentosa var. luducca +Ficus sarmentosa var. nipponica +Ficus semicordata +Ficus simplicissima +Ficus sinuata +Ficus squamosa +Ficus subincisa +Ficus subulata +Ficus tikoua +Ficus tinctoria subsp. gibbosa +Ficus virens +Maclura amboinensis +Maclura cochinchinensis +Maclura fruticosa +Morus alba +Morus australis +Morus macroura +Morus mongolica +Morus serrata +Boehmeria bicuspis +Boehmeria clidemioides +Boehmeria clidemioides var. diffusa +Boehmeria conica +Boehmeria dolichostachya var. mollis +Boehmeria glomerulifera +Boehmeria hamiltoniana +Boehmeria hengduanshanica +Boehmeria japonica +Boehmeria listeri +Boehmeria macrophylla +Boehmeria macrophylla var. rotundifolia +Boehmeria macrophylla var. scabrella +Boehmeria nivea +Boehmeria penduliflora +Boehmeria platanifolia +Boehmeria polystachya +Boehmeria tomentosa +Chamabainia cuspidata +Cypholophus moluccanus +Debregeasia longifolia +Debregeasia orientalis +Debregeasia saeneb +Dendrocnide sinuata +Droguetia iners subsp. urticoides +Elatostema acuminatum +Elatostema aliferum +Elatostema angustitepalum +Elatostema arcuans +Elatostema auriculatum +Elatostema auriculatum var. strigosum +Elatostema balansae +Elatostema beibengense +Elatostema boehmerioides +Elatostema bomiense +Elatostema cuneatum +Elatostema cuneiforme +Elatostema cuneiforme var. gracilipes +Elatostema cuspidatum +Elatostema decipiens +Elatostema didymocephalum +Elatostema dingjieense +Elatostema dissectoides +Elatostema dissectum +Elatostema eriocephalum +Elatostema ficoides +Elatostema furcatibracteum +Elatostema grandidentatum +Elatostema gungshanense +Elatostema hookerianum +Elatostema imbricans +Elatostema integrifolium +Elatostema laevissimum +Elatostema latistipulum +Elatostema laxicymosum +Elatostema lihengianum +Elatostema lineolatum +Elatostema lineolatum var. integrifolium +Elatostema litseifolium +Elatostema longicaudatum +Elatostema macintyrei +Elatostema medogense +Elatostema monandrum +Elatostema nasutum +Elatostema nasutum var. ecorniculatum +Elatostema nasutum var. puberulum +Elatostema obtusum +Elatostema papillosum +Elatostema parvum var. brevicuspis +Elatostema platyphyllum +Elatostema procridioides +Elatostema recticaudatum +Elatostema rupestre +Elatostema sessile +Elatostema sikkimense +Elatostema tenuicaudatoides +Elatostema tenuicaudatum +Elatostema tetratepalum +Girardinia diversifolia +Gonostegia hirta +Gonostegia pentandra +Gonostegia triandra +Laportea bulbifera +Laportea cuspidata +Laportea lageensis +Laportea medogensis +Lecanthus peduncularis +Lecanthus petelotii +Lecanthus petelotii var. corniculata +Lecanthus petelotii var. yunnanensis +Maoutia puya +Oreocnide frutescens +Oreocnide frutescens subsp. occidentalis +Oreocnide integrifolia +Oreocnide obovata +Parietaria micrantha +Pilea angulata +Pilea angulata subsp. petiolaris +Pilea anisophylla +Pilea approximata +Pilea approximata var. incisoserrata +Pilea aquarum +Pilea auricularis +Pilea boniana +Pilea bracteosa +Pilea glaberrima +Pilea gongjueensis +Pilea hilliana +Pilea insolens +Pilea japonica +Pilea lageensis +Pilea linearifolia +Pilea longipedunculata +Pilea macrocarpa +Pilea martini +Pilea medogensis +Pilea melastomoides +Pilea monilifera +Pilea multicellularis +Pilea myriantha +Pilea oxyodon +Pilea peltata +Pilea pseudonotata +Pilea pumila +Pilea racemosa +Pilea scripta +Pilea semisessilis +Pilea squamosa +Pilea symmeria +Pilea ternifolia +Pilea umbrosa +Pilea yadongensis +Poikilospermum lanceolatum +Poikilospermum naucleiflorum +Poikilospermum suaveolens +Pouzolzia calophylla +Pouzolzia frondosa +Pouzolzia rugulosa +Pouzolzia sanguinea +Pouzolzia sanguinea var. elegans +Pouzolzia zeylanica +Procris crenata +Sarcochlamys pulcherrima +Urtica dioica +Urtica dioica subsp. afghanica +Urtica fissa +Urtica hyperborea +Urtica laetevirens +Urtica mairei +Urtica membranifolia +Urtica triangularis +Urtica triangularis subsp. pinnatifida +Urtica urens +Castanea mollissima +Castanopsis argyrophylla +Castanopsis armata +Castanopsis calathiformis +Castanopsis castanicarpa +Castanopsis ceratacantha +Castanopsis clarkei +Castanopsis echidnocarpa +Castanopsis echinocarpa +Castanopsis ferox +Castanopsis hystrix +Castanopsis indica +Castanopsis lanceifolia +Castanopsis longispina +Castanopsis pathakii +Castanopsis purpurella +Castanopsis rockii +Castanopsis tribuloides +Castanopsis wattii +Cyclobalanopsis macrocalyx +Lithocarpus arcaulus +Lithocarpus collettii +Lithocarpus dealbatus +Lithocarpus fenestratus +Lithocarpus grandifolius +Lithocarpus kamengii +Lithocarpus laoticus +Lithocarpus listeri +Lithocarpus obscurus +Lithocarpus pachyphyllus +Lithocarpus pasania +Lithocarpus pseudoxizangensis +Lithocarpus thomsonii +Lithocarpus truncatus +Lithocarpus variolosus +Lithocarpus wrayi +Lithocarpus xizangensis +Lithocarpus xylocarpus +Quercus acrodonta +Quercus acutissima +Quercus annulata +Quercus aquifolioides +Quercus baloot +Quercus engleriana +Quercus fleuryi +Quercus gambleana +Quercus glauca +Quercus glaucoides +Quercus griffithii +Quercus guyavifolia +Quercus helferiana +Quercus kamroopii +Quercus kiukiangensis +Quercus lamellosa +Quercus lanata +Quercus lodicosa +Quercus longispica +Quercus motuoensis +Quercus myrsinifolia +Quercus oxyodon +Quercus pannosa +Quercus rehderiana +Quercus rex +Quercus semecarpifolia +Quercus semiserrata +Quercus senescens +Quercus spinosa +Quercus thomsoniana +Quercus variabilis +Morella esculenta +Morella nana +Engelhardia roxburghiana +Engelhardia spicata +Engelhardia spicata var. aceriflora +Juglans regia +Juglans sigillata +Alnus nepalensis +Betula alnoides +Betula ashB?rneri +Betula calcicola +Betula cylindrostachya +Betula delavayi +Betula delavayi var. microstachya +Betula pendula subsp. szechuanica +Betula platyphylla +Betula potaninii +Betula utilis +Carpinus mollicoma +Carpinus monbeigiana +Carpinus tibetana +Carpinus viminea +Corylus ferox +Corylus ferox var. thibetica +Coriaria nepalensis +Coriaria terminalis +Actinostemma tenerum +Baijiania decipiens +Benincasa hispida +Citrullus lanatus +Cucumis melo +Cucumis sativus +Cucurbita maxima +Cucurbita moschata +Cucurbita pepo +Cyclanthera pedata +Edgaria darjeelingensis +Gomphogyne cissiformis +Gynostemma pentaphyllum +Hemsleya graciliflora +Herpetospermum operculatum +Herpetospermum pedunculosum +Hodgsonia heteroclita +Hodgsonia tsaii +Indofevillea khasiana +Lagenaria siceraria +Luffa acutangula +Luffa aegyptiaca +Momordica charantia +Momordica cochinchinensis +Momordica dioica +Momordica subangulata +Momordica subangulata subsp. renigera +Mukia maderaspatana +Neoalsomitra clavigera +Schizopepon bicirrhosa +Schizopepon bomiensis +Schizopepon xizangensis +Sechium edule +Siraitia borneensis +Solena delavayi +Solena heterophylla +Solena heterophylla subsp. napaulensis +Thladiantha cordifolia +Thladiantha grandisepala +Thladiantha hookeri +Thladiantha lijiangensis +Thladiantha medogensis +Thladiantha nudiflora +Thladiantha setispina +Thladiantha villosula +Trichosanthes anguina +Trichosanthes cordata +Trichosanthes costata +Trichosanthes cucumerina +Trichosanthes cucumeroides +Trichosanthes cucumeroides var. dicoelosperma +Trichosanthes dioica +Trichosanthes dunniana +Trichosanthes lepiniana +Trichosanthes quinquangulata +Trichosanthes rubriflos +Trichosanthes smilacifolia +Trichosanthes tetragonosperma +Trichosanthes tricuspidata +Trichosanthes truncata +Trichosanthes wallichiana +Zehneria bodinieri +Zehneria japonica +Begonia aborensis +Begonia acetosella +Begonia annulata +Begonia arunachalensis +Begonia asperifolia +Begonia atrofusca +Begonia burkillii +Begonia cathcartii +Begonia dalaiensis +Begonia difformis +Begonia dioica +Begonia flagellaris +Begonia flaviflora +Begonia flaviflora var. gamblei +Begonia giganticaulis +Begonia grandis subsp. sinensis +Begonia griffithiana +Begonia hatacoa +Begonia iridescens +Begonia josephi +Begonia josephii +Begonia kekarmonyingensis +Begonia labordei +Begonia longifolia +Begonia lorentzonii +Begonia markiana +Begonia medogensis +Begonia megaptera +Begonia nepalensis +Begonia ovatifolia +Begonia oyuniae +Begonia palmata +Begonia palmata var. khasiana +Begonia pasighatensis +Begonia pedunculosa +Begonia picta +Begonia pseudoheydei +Begonia psilophylla +Begonia rex +Begonia roxburghii +Begonia rushforthii +Begonia scintillans +Begonia shilendrae +Begonia sikkimensis +Begonia sikkimensis var. kamengensis +Begonia silletensis +Begonia tessaricarpa +Begonia thomsonii +Begonia xanthina +Begonia zhongyangiana +Celastrus glaucophyllus +Celastrus hindsii +Celastrus hookeri +Celastrus monospermus +Celastrus paniculatus +Celastrus rugosus +Celastrus stylosus +Celastrus virens +Euonymus acanthocarpus +Euonymus attenuatus +Euonymus cinereus +Euonymus clivicola +Euonymus cornutus +Euonymus dielsianus +Euonymus distichus +Euonymus echinatus +Euonymus fimbriatus +Euonymus fortunei +Euonymus frigidus +Euonymus giraldii +Euonymus grandiflorus +Euonymus hamiltonianus +Euonymus kachinensis +Euonymus lawsonii +Euonymus laxiflorus +Euonymus lucidus +Euonymus microcarpus +Euonymus myrianthus +Euonymus nanoides +Euonymus sanguineus +Euonymus semenovii +Euonymus theifolius +Euonymus tibeticus +Euonymus tingens +Euonymus vaganoides +Euonymus vagans +Euonymus viburnoides +Euonymus yunnanensis +Glyptopetalum angulatum +Gymnosporia acuminata +Gymnosporia jinyangensis +Gymnosporia rufa +Lophopetalum wightianum +Microtropis densiflora +Microtropis discolor +Microtropis macrocarpa +Microtropis xizangensis +Parnassia brevistyla +Parnassia chinensis +Parnassia cooperi +Parnassia delavayi +Parnassia deqenensis +Parnassia humilis +Parnassia kangdingensis +Parnassia longipetala +Parnassia longipetala var. striata +Parnassia lutea +Parnassia mysorensis +Parnassia nubicola +Parnassia obovata +Parnassia oreophila +Parnassia pusilla +Parnassia scaposa +Parnassia tenella +Parnassia tibetana +Parnassia trinervis +Parnassia venusta +Parnassia viridiflora +Parnassia wightiana +Parnassia yunnanensis +Reissantia arborea +Reissantia indica +Salacia chinensis +Salacia khasiana +Salacia salacioides +Connarus paniculatus +Connarus yunnanensis +Rourea minor +Averrhoa carambola +Biophytum fruticosum +Biophytum reinwardtii +Oxalis acetosella +Oxalis corniculata +Oxalis griffithii +Oxalis leucolepis +Elaeocarpus acuminatus +Elaeocarpus aristatus +Elaeocarpus braceanus +Elaeocarpus bracteatus +Elaeocarpus dubius +Elaeocarpus floribundus +Elaeocarpus glandulosus +Elaeocarpus japonicus +Elaeocarpus lacunosus +Elaeocarpus lanceifolius +Elaeocarpus petiolatus +Elaeocarpus prunifolius +Elaeocarpus rugosus +Elaeocarpus sikkimensis +Elaeocarpus sphaericus +Elaeocarpus stapfianus +Elaeocarpus sylvestris +Elaeocarpus tectorius +Elaeocarpus varunua +Sloanea dasycarpa +Sloanea sinensis +Sloanea sterculiacea var. assamica +Sloanea tomentosa +Carallia brachiata +Ochna obtusata +Garcinia acuminata +Garcinia anomala +Garcinia atroviridis +Garcinia cowa +Garcinia lanceifolia +Garcinia nujiangensis +Garcinia pedunculata +Garcinia sopsopia +Garcinia stipulata +Calophyllum polyanthum +Mesua assamica +Mesua ferrea +Zeylanidium olivaceum +Hypericum assamicum +Hypericum augustinii +Hypericum beanii +Hypericum bellum +Hypericum choisyanum +Hypericum elatoides +Hypericum elodeoides +Hypericum griffithii +Hypericum henryi +Hypericum himalaicum +Hypericum hookerianum +Hypericum japonicum +Hypericum kingdonii +Hypericum latisepalum +Hypericum ludlowii +Hypericum monanthemum +Hypericum monanthemum subsp. filicaule +Hypericum patulum +Hypericum petiolulatum +Hypericum podocarpoides +Hypericum pseudohenryi +Hypericum reptans +Hypericum stellatum +Hypericum uralum +Hypericum wightianum +Drypetes assamica +Drypetes eglandulosa +Drypetes venusta +Bhesa robusta +Aspidopterys elliptica +Aspidopterys glabriuscula +Aspidopterys indica +Aspidopterys nutans +Hiptage benghalensis +Dichapetalum gelonioides +Gynocardia odorata +Rinorea bengalensis +Viola arcuata +Viola belophylla +Viola betonicifolia +Viola biflora +Viola biflora var. rockiana +Viola bulbosa +Viola cameleo +Viola canescens +Viola davidii +Viola delavayi +Viola diffusa +Viola dissecta +Viola forrestiana +Viola inconspicua +Viola kunawarensis +Viola moupinensis +Viola odorata +Viola pilosa +Viola sikkimensis +Viola szetschwanensis +Viola thomsonii +Viola tienschiensis +Viola tricolor +Viola wallichiana +Viola yunnanensis +Viola yunnanfuensis +Adenia cordifolia +Adenia trilobata +Passiflora foetida +Passiflora leschenaultii +Passiflora napalensis +Passiflora wilsonii +Bennettiodendron leprosipes +Casearia glomerata +Casearia kurzii +Casearia vareca +Casearia zeylanica +Flacourtia jangomas +Homalium ceylanicum +Homalium napaulense +Populus × beijingensis +Populus × hopeiensis +Populus × xiaohei var. gansuensis +Populus adenopoda +Populus alba +Populus alba var. pyramidalis +Populus ciliata +Populus ciliata var. gyirongensis +Populus davidiana +Populus glauca +Populus mainlingensis +Populus pamirica var. trichorachis +Populus pseudoglauca +Populus qamdoensis +Populus rotundifolia +Populus rotundifolia var. duclouxiana +Populus schneideri +Populus szechuanica var. tibetica +Populus wilsonii +Populus wuana +Populus yuana +Populus yunnanensis +Salix acuminatomicrophylla +Salix alba +Salix alexeii +Salix annulifera +Salix annulifera var. macroula +Salix anticecrenata +Salix argyrophegga +Salix argyrotrichocarpa +Salix atopantha +Salix austrotibetica +Salix babylonica +Salix balfouriana +Salix bangongensis +Salix bhutanensis +Salix bistyla +Salix brachista +Salix brachista var. integra +Salix brachista var. pilifera +Salix caesia +Salix calyculata +Salix cathayana +Salix cheilophila +Salix cheilophila var. microstachyoides +Salix clathrata +Salix coggygria +Salix crenata +Salix daliensis +Salix daltoniana +Salix dalungensis +Salix delavayana +Salix delavayana var. pilososuturalis +Salix denticulata +Salix dibapha +Salix divergentistyla +Salix driophila +Salix ernestii +Salix faxonianoides +Salix faxonianoides var. villosa +Salix flabellaris +Salix floccosa +Salix fruticulosa +Salix gilashanica +Salix gyamdaensis +Salix gyirongensis +Salix heterochroma +Salix hylonoma +Salix insignis +Salix kamanica +Salix karelinii +Salix kongbanica +Salix kouytchensis +Salix lasiopes +Salix lindleyana +Salix linearistipularis +Salix longiflora +Salix longistamina +Salix luctuosa +Salix ludlowiana +Salix maizhokunggarensis +Salix matsudana +Salix medogensis +Salix michelsonii +Salix myrtillacea +Salix nipponica +Salix nujiangensis +Salix obscura +Salix occidentalisinensis +Salix ochetophylla +Salix opsimantha +Salix oreinoma +Salix oreophila +Salix oreophila var. secta +Salix oritrepha +Salix oritrepha var. amnematchinensis +Salix ovatomicrophylla +Salix paraflabellaris +Salix paraheterochroma +Salix paraplesia +Salix paraplesia var. subintegra +Salix paratetradenia +Salix paratetradenia var. yatungensis +Salix parvidenticulata +Salix phaidima +Salix phanera +Salix pilosomicrophylla +Salix piptotricha +Salix plocotricha +Salix pseudocalyculata +Salix pseudospissa +Salix pseudowolohoensis +Salix psilostigma +Salix pycnostachya +Salix pycnostachya var. oxycarpa +Salix qamdoensis +Salix radinostachya +Salix radinostachya var. pseudophanera +Salix rehderiana +Salix rehderiana var. dolia +Salix reptans +Salix resectoides +Salix rhododendrifolia +Salix rosthornii +Salix salwinensis +Salix sclerophylla +Salix sclerophylla var. tibetica +Salix sclerophylloides +Salix sclerophylloides var. obtusa +Salix sericocarpa +Salix serpyllum +Salix sikkimensis +Salix souliei +Salix spathulifolia +Salix sphaeronymphe +Salix sphaeronymphe var. sphaeronymphoides +Salix spodiophylla +Salix spodiophylla var. liocarpa +Salix staintoniana +Salix takasagoalpina +Salix tetrasperma +Salix trichocarpa +Salix vaccinioides +Salix variegata +Salix wallichiana +Salix wangiana +Salix wilhelmsiana +Salix xiaoguangshanica +Salix xizangensis +Salix yadongensis +Salix zangica +Salix zayulica +Xylosma congesta +Xylosma controversa +Xylosma longifolia +Sapria himalayana +Alchornea tiliifolia +Balakata baccata +Baliospermum angustifolium +Baliospermum bilobatum +Baliospermum calycinum +Baliospermum solanifolium +Claoxylon khasianum +Claoxylon longipetiolatum +Cleidion spiciflorum +Cnesmone tonkinensis +Croton caudatus +Croton chlorocalyx +Croton joufra +Croton tiglium +Euphorbia altotibetica +Euphorbia antiquorum +Euphorbia dentata +Euphorbia donii +Euphorbia fischeriana +Euphorbia griffithii +Euphorbia hirta +Euphorbia humifusa +Euphorbia jolkinii +Euphorbia lathyris +Euphorbia micractina +Euphorbia motuogensis +Euphorbia royleana +Euphorbia sikkimensis +Euphorbia stracheyi +Euphorbia thymifolia +Euphorbia tibetica +Euphorbia wallichii +Excoecaria acerifolia +Excoecaria acerifolia var. cuspidata +Excoecaria agallocha +Excoecaria oppositifolia +Falconeria insignis +Homonoia riparia +Jatropha curcas +Macaranga denticulata +Macaranga gamblei +Macaranga indica +Macaranga pustulata +Macaranga sampsonii +Mallotus nepalensis +Mallotus oreophilus +Mallotus paniculatus +Mallotus philippensis +Mallotus repandus +Mallotus roxburghianus +Mallotus tetracoccus +Manihot esculenta +Ostodes katharinae +Ostodes paniculata +Ricinus communis +Sumbaviopsis albicans +Trevia nudiflora +Triadica cochinchinensis +Vernicia fordii +Anisadenia pubescens +Anisadenia saxatilis +Linum nutans +Linum pallescens +Linum perenne +Linum usitatissimum +Reinwardtia indica +Actephila excelsa +Antidesma acidum +Antidesma bunius +Antidesma khasianum +Antidesma montanum +Antidesma montanum var. microphyllum +Antidesma nigricans +Antidesma roxburghii +Aporosa dioica +Aporosa octandra +Baccaurea ramiflora +Bischofia javanica +Breynia retusa +Bridelia assamica +Bridelia balansae +Bridelia glauca +Bridelia montana +Bridelia retusa +Bridelia stipularis +Flueggea virosa +Glochidion ellipticum +Glochidion helferi +Glochidion heyneanum +Glochidion hirsutum +Glochidion khasicum +Glochidion lanceolarium +Glochidion medogense +Glochidion multiloculare +Glochidion nubigenum +Glochidion oblatum +Glochidion puberum +Glochidion thomsonii +Glochidion zeylanicum var. arunachalense +Leptopus chinensis +Leptopus cordifolius +Leptopus emicans +Phyllanthus clarkei +Phyllanthus cochinchinensis +Phyllanthus debilis +Phyllanthus emblica +Phyllanthus flexuosus +Phyllanthus glaucus +Phyllanthus reticulatus +Phyllanthus rheophyticus +Phyllanthus tetrandrus +Phyllanthus tsarongensis +Phyllanthus urinaria +Sauropus androgynus +Sauropus macranthus +Sauropus stipitatus +Erodium cicutarium +Erodium oxyrhinchum +Erodium stephanianum +Erodium tibetanum +Geranium camaense +Geranium collinum +Geranium dahuricum +Geranium delavayi +Geranium donianum +Geranium farreri +Geranium himalayense +Geranium hispidissimum +Geranium krameri +Geranium lambertii +Geranium moupinense +Geranium napuligerum +Geranium nepalense +Geranium ocellatum +Geranium polyanthes +Geranium pratense +Geranium pylzowianum +Geranium refractum +Geranium robertianum +Geranium rubifolium +Geranium sibiricum +Geranium strictipes +Geranium wallichianum +Geranium wilfordii +Pelargonium hortorum +Combretum acuminatum +Combretum alatum +Combretum griffithii +Combretum indicum +Combretum pilosum +Combretum punctatum var. squamosum +Combretum wallichii +Getonia floribunda +Terminalia arjuna +Terminalia bellirica +Terminalia catappa +Terminalia chebula +Terminalia citrina +Terminalia franchetii var. intricata +Terminalia myriocarpa +Terminalia paniculata +Cuphea carthagenensis +Cuphea hookeriana +Duabanga grandiflora +Lagerstroemia minuticarpa +Lagerstroemia parviflora +Lagerstroemia speciosa +Lythrum salicaria +Punica granatum +Rotala densiflora +Rotala indica +Rotala rotundifolia +Trapa incisa +Woodfordia fruticosa +Chamerion angustifolium +Chamerion angustifolium subsp. circumvagum +Chamerion conspersum +Chamerion latifolium +Chamerion speciosum +Circaea alpina +Circaea alpina subsp. imaicola +Circaea alpina subsp. micrantha +Circaea cordata +Circaea repens +Epilobium amurense +Epilobium brevifolium +Epilobium brevifolium subsp. trichoneurum +Epilobium cylindricum +Epilobium fastigiatoramosum +Epilobium gouldii +Epilobium hirsutum +Epilobium kingdonii +Epilobium minutiflorum +Epilobium palustre +Epilobium royleanum +Epilobium sikkimense +Epilobium subcoriaceum +Epilobium tibetanum +Epilobium wallichianum +Epilobium williamsii +Ludwigia adscendens +Ludwigia hyssopifolia +Ludwigia octovalvis +Ludwigia ovalis +Ludwigia perennis +Oenothera biennis +Oenothera rosea +Callistemon citrinus +Callistemon rigidus +Decaspermum parviflorum +Eucalyptus citriodora +Eucalyptus tereticornis +Psidium guajava +Syzygium aborense +Syzygium anisopetalum +Syzygium assamicum +Syzygium balsameum +Syzygium cumini +Syzygium cuneatum +Syzygium formosum +Syzygium fruticosum +Syzygium kurzii +Syzygium megacarpum +Syzygium mishmiense +Syzygium nervosum +Syzygium oblatum +Syzygium praecox +Syzygium syzygioides +Syzygium tetragonum +Syzygium xizangense +Allomorphia baviensis +Allomorphia urophylla +Medinilla arunachalica +Medinilla himalayana +Medinilla nana +Medinilla petelotii +Medinilla rubicunda +Melastoma imbricatum +Melastoma malabathricum +Melastoma normale +Memecylon caeruleum +Memecylon celastrinum +Memecylon scutellatum +Osbeckia capitata +Osbeckia chinensis +Osbeckia crinita +Osbeckia nepalensis +Osbeckia nepalensis var. albiflora +Osbeckia nutans +Osbeckia rostrata +Osbeckia stellata +Oxyspora cernua +Oxyspora paniculata +Oxyspora vagans +Pseudodissochaeta assamica +Pseudodissochaeta spirei +Sarcopyramis bodinieri +Sarcopyramis napalensis +Sonerila arunachalensis +Sonerila khasiana +Sonerila maculata +Turpinia affinis +Turpinia cochinchinensis +Turpinia macrosperma +Turpinia montana +Turpinia ternata +Stachyurus chinensis +Stachyurus himalaicus +Biebersteinia heterostemon +Biebersteinia odora +Peganum harmala +Peganum multisectum +Canarium bengalense +Canarium pimela +Canarium strictum +Garuga floribunda var. gamblei +Garuga pinnata +Choerospondias axillaris +Cotinus coggygria var. glaucophylla +Dobinea vulgaris +Dracontomelon duperreanum +Drimycarpus racemosus +Holigarna longifolia +Lannea coromandelica +Mangifera indica +Mangifera sylvatica +Pegia nitida +Pistacia chinensis +Pistacia weinmanniifolia +Rhus chinensis +Rhus chinensis var. roxburghii +Rhus punjabensis +Rhus punjabensis var. pilosa +Rhus punjabensis var. sinica +Semecarpus anacardium +Spondias pinnata +Toxicodendron acuminatum +Toxicodendron griffithii +Toxicodendron hookeri +Toxicodendron hookeri var. microcarpum +Toxicodendron succedaneum +Toxicodendron vernicifluum +Toxicodendron wallichii +Toxicodendron wallichii var. microcarpum +Acer acuminatum +Acer caesium +Acer campbellii +Acer campbellii var. serratifolium +Acer cappadocicum +Acer cappadocicum subsp. sinicum +Acer caudatum +Acer davidii +Acer flabellatum +Acer forrestii +Acer laevigatum +Acer laurinum +Acer negundo +Acer oblongum +Acer pectinatum +Acer pectinatum subsp. taronense +Acer pictum subsp. macropterum +Acer pictum subsp. mono +Acer pinnatinervium +Acer pubipetiolatum +Acer sikkimense +Acer stachyophyllum +Acer stachyophyllum subsp. betulifolium +Acer sterculiaceum +Acer thomsonii +Acer tibetense +Acer tonkinense +Acer wardii +Acer wilsonii +Aesculus assamica +Allophylus chartaceus +Allophylus serratus +Allophylus triphyllus +Allophylus zeylanicus +Dimocarpus longan +Koelreuteria paniculata +Lepisanthes erecta +Lepisanthes senegalensis +Lepisanthes tetraphylla +Litchi chinensis +Nephelium mutabile +Sapindus rarak +Sapindus saponaria +Xanthoceras sorbifolium +Xerospermum noronhianum +Acronychia pedunculata +Aegle marmelos +Atalantia dasycarpa +Boenninghausenia albiflora +Citrus × aurantium +Citrus hystrix +Citrus latipes +Citrus limon +Citrus medica +Citrus reticulata +Citrus sinensis +Clausena excavata +Clausena heptaphylla +Clausena lansium +Glycosmis longifolia +Glycosmis lucida +Glycosmis pentaphylla +Glycosmis xizangensis +Limonia acidissima +Melicope glomerata +Melicope lunu-ankenda +Melicope pteleifolia +Melicope triphylla +Micromelum falcatum +Micromelum integerrimum +Micromelum minutum +Murraya exotica +Murraya koenigii +Paramignya monophylla +Paramignya scandens +Skimmia anquetilia +Skimmia arborescens +Skimmia laureola +Skimmia melanocarpa +Skimmia multinervia +Skimmia reevesiana +Tetradium daniellii +Tetradium fraxinifolium +Tetradium glabrifolium +Tetradium ruticarpum +Tetradium trichotomum +Toddalia asiatica +Zanthoxylum acanthopodium +Zanthoxylum armatum +Zanthoxylum armatum var. ferrugineum +Zanthoxylum bungeanum +Zanthoxylum burkillianum +Zanthoxylum esquirolii +Zanthoxylum macranthum +Zanthoxylum motuoense +Zanthoxylum nepalense +Zanthoxylum nitidum +Zanthoxylum nitidum var. tomentosum +Zanthoxylum oxyphyllum +Zanthoxylum piasezkii +Zanthoxylum pilosulum +Zanthoxylum rhetsa +Zanthoxylum schinifolium +Zanthoxylum stenophyllum +Zanthoxylum tomentellum +Zanthoxylum undulatifolium +Ailanthus altissima +Ailanthus fordii +Ailanthus integrifolia subsp. calycina +Brucea javanica +Brucea mollis +Picrasma chinensis +Picrasma quassioides +Aglaia chittagonga +Aglaia edulis +Aglaia elaeagnoidea +Aglaia lawii +Aglaia perviridis +Aglaia spectabilis +Aphanamixis polystachya +Azadirachta indica +Chisocheton cumingianus subsp. balansae +Chukrasia tabularis +Cipadessa baccifera +Dysoxylum excelsum +Dysoxylum gotadhora +Dysoxylum grande +Dysoxylum medogense +Dysoxylum mollissimum +Dysoxylum pallens +Heynea trijuga +Melia azedarach +Melia dubia +Sphaerosacme decandra +Toona ciliata +Toona sinensis +Toona sureni +Walsura robusta +Dipentodon sinicus +Abelmoschus manihot +Abelmoschus manihot var. pungens +Abelmoschus moschatus +Abroma augustum +Abutilon indicum +Abutilon ramosum +Alcea rosea +Bombax ceiba +Byttneria grandifolia +Corchorus aestuans +Corchorus capsularis +Corchorus olitorius +Craigia yunnanensis +Firmiana colorata +Firmiana kwangsiensis +Gossypium arboreum +Grewia asiatica +Grewia biloba +Grewia multiflora +Heritiera angustata +Heritiera dubia +Hibiscus austroyunnanensis +Hibiscus fragrans +Hibiscus macrophyllus +Hibiscus surattensis +Hibiscus syriacus +Hibiscus trionum +Hibiscus vitifolius +Kleinhovia hospita +Kydia calycina +Kydia glabrescens +Malva cathayensis +Malva pusilla +Malva verticillata +Malva verticillata var. rafiqii +Malva xizangensis +Melochia corchorifolia +Pterospermum heterophyllum +Pterospermum javanicum +Pterospermum lanceifolium +Pterygota alata +Reevesia pubescens +Sida acuta +Sida rhombifolia +Sida szechuensis +Sterculia balanghas +Sterculia euosma +Sterculia guttata +Sterculia hamiltonii +Sterculia kingii +Sterculia lanceifolia +Sterculia lanceolata +Sterculia parviflora +Sterculia urens +Sterculia villosa +Tilia chinensis +Triumfetta annua +Triumfetta cana +Triumfetta obliqua +Triumfetta pilosa +Triumfetta rhomboidea +Urena lobata +Urena lobata var. yunnanensis +Wissadula periplocifolia +Aquilaria khasiana +Aquilaria malaccensis +Daphne acutiloba +Daphne aurantiaca +Daphne bholua +Daphne bholua var. glacialis +Daphne holosericea +Daphne holosericea var. thibetensis +Daphne holosericea var. wangeana +Daphne longilobata +Daphne macrantha +Daphne papyracea +Daphne purpurascens +Daphne retusa +Daphne sureil +Daphne tangutica +Daphne taylorii +Edgeworthia gardneri +Edgeworthia longipes +Eriosolena composita +Stellera chamaejasme +Wikstroemia canescens +Wikstroemia lichiangensis +Wikstroemia ligustrina +Wikstroemia lungtzeensis +Wikstroemia scytophylla +Dipterocarpus retusus +Hopea shingkeng +Shorea robusta +Vatica lanceifolia +Tropaeolum majus +Moringa oleifera +Carica papaya +Stixis suaveolens +Capparis acutifolia +Capparis assamica +Capparis himalayensis +Capparis multiflora +Capparis olacifolia +Capparis roxburghii +Capparis sabiifolia +Capparis spinosa +Capparis tenera +Crateva magna +Gynandropsis gynandra +Acirostrum alaschanicum +Aphragmus bouffordii +Aphragmus hobsonii +Aphragmus minutus +Aphragmus oxycarpus +Arabidopsis thaliana +Arabis amplexicaulis +Arabis hirsuta +Arabis paniculata +Arabis pterosperma +Arabis pycnocarpa +Baimashania wangii +Barbarea intermedia +Barbarea vulgaris +Brassica chinensis var. oleifera +Brassica juncea +Brassica napus +Brassica rapa +Brassica rapa var. glabra +Brassica rapa var. oleifera +Braya fengii +Braya humilis +Braya parvia +Braya rosea +Braya siliquosa +Braya tibetica +Capsella bursa-pastoris +Cardamine circaeoides +Cardamine elegantula +Cardamine flexuosa +Cardamine fragariifolia +Cardamine franchetiana +Cardamine granulifera +Cardamine griffithii +Cardamine hirsuta +Cardamine hongdeyuana +Cardamine hygrophila +Cardamine impatiens +Cardamine leucantha +Cardamine loxostemonoides +Cardamine lyrata +Cardamine macrophylla +Cardamine paucifolia +Cardamine pseudotrifoliolata +Cardamine pulchella +Cardamine purpurascens +Cardamine tangutorum +Cardamine trifoliolata +Cardamine yunnanensis +Catolobus pendulus +Chorispora macropoda +Christolea crassifolia +Crucihimalaya axillaris +Crucihimalaya himalaica +Crucihimalaya lasiocarpa +Crucihimalaya mollissima +Crucihimalaya stricta +Crucihimalaya tibetica +Crucihimalaya wallichii +Descurainia sophia +Dilophia ebracteata +Dilophia salsa +Dontostemon glandulosus +Dontostemon pinnatifidus +Draba alajica +Draba altaica +Draba amplexicaulis +Draba bartholomewii +Draba bhutanica +Draba cholaensis +Draba draboides +Draba elata +Draba ellipsoidea +Draba eriopoda +Draba glomerata +Draba gracillima +Draba handelii +Draba involucrata +Draba jucunda +Draba kongboiana +Draba ladyginii +Draba lanceolata +Draba lasiophylla +Draba lichiangensis +Draba linearifolia +Draba matangensis +Draba melanopus +Draba mieheorum +Draba mongolica +Draba nemorosa +Draba nylamensis +Draba oreades +Draba oreades var. alpicola +Draba polyphylla +Draba senilis +Draba setosa +Draba sikkimensis +Draba stenobotrys +Draba stenocarpa +Draba sunhangiana +Draba surculosa +Draba tibetica +Draba turczaninowii +Draba winterbottomii +Draba yunnanensis +Draba zangbeiensis +Eruca vesicaria subsp. sativa +Erysimum × cheiri +Erysimum absconditum +Erysimum benthamii +Erysimum deflexum +Erysimum flavum +Erysimum flavum subsp. altaicum +Erysimum funiculosum +Erysimum handel-mazzettii +Erysimum hieraciifolium +Erysimum pachycarpum +Erysimum robustum +Erysimum roseum +Erysimum schlagintweitianum +Erysimum wardii +Eutrema altaicum +Eutrema bouffordii +Eutrema deltoideum +Eutrema fontanum +Eutrema heterophyllum +Eutrema himalaicum +Eutrema hookeri +Eutrema lowndesii +Eutrema nepalense +Eutrema pseudocordifolium +Eutrema scapiflorum +Eutrema schulzii +Eutrema sherriffii +Eutrema sinense +Eutrema tenue +Eutrema verticillatum +Eutrema wuchengyii +Goldbachia pendula +Hemilophia pulchella +Hemilophia sessilifolia +Iberis amara +Iberis intermedia +Isatis gymnocarpa +Ladakiella Klime?ii +Leiospora pamirica +Lepidium apetalum +Lepidium capitatum +Lepidium chalepense +Lepidium cuneiforme +Lepidium didymum +Lepidium latifolium +Lepidium sativum +Lepidium virginicum +Lepidostemon everestianus +Lepidostemon pedunculosus +Lepidostemon rosularis +Lobularia maritima +Megacarpaea delavayi +Megacarpaea polyandra +Megadenia pygmaea +Metashangrilaia forrestii +Mutarda nigra +Nasturtium officinale +Noccaea andersonii +Noccaea cochlearioides +Noccaea thlaspidioides +Noccaea yunnanensis +Olimarabidopsis pumila +Orychophragmus violaceus +Parrya glabra +Parrya pinnatifida +Parryodes axilliflora +Pulvinatusia xuegulaensis +Pycnoplinthopsis bhutanica +Pycnoplinthus uniflora +Raphanus sativus +Rorippa dubia +Rorippa elata +Rorippa indica +Rorippa palustris +Shehbazia tibetica +Sinoarabis setosifolia +Sisymbriopsis mollipila +Sisymbriopsis shuanghuica +Sisymbrium brassiciforme +Sisymbrium heteromallum +Sisymbrium officinale +Smelowskia annua +Smelowskia bartholomewii +Smelowskia sunhangii +Smelowskia tibetica +Solms-laubachia baiogoinensis +Solms-laubachia calcicola +Solms-laubachia eurycarpa +Solms-laubachia himalayensis +Solms-laubachia jafrii +Solms-laubachia lanata +Solms-laubachia linearifolia +Solms-laubachia linearis +Solms-laubachia marinellii +Solms-laubachia mieheorum +Solms-laubachia parryoides +Solms-laubachia platycarpa +Solms-laubachia prolifera +Solms-laubachia pulcherrima +Solms-laubachia retropilosa +Solms-laubachia stewartii +Solms-laubachia villosa +Stevenia canescens +Strigosella africana +Tetracme pamirica +Thlaspi arvense +Thlaspi montanum +Yinshania acutangula +Yinshania acutangula subsp. wilsonii +Yinshania zayuensis +Erythropalum scandens +Olax acuminata +Olax nana +Balanophora dioica +Balanophora fargesii +Balanophora harlandii +Balanophora involucrata +Balanophora laxiflora +Balanophora polyandra +Balanophora subcupularis +Rhopalocnemis phalloides +Lepionurus sylvestris +Arceuthobium chinense +Arceuthobium oxycedri +Arceuthobium pini +Arceuthobium sichuanense +Arceuthobium tibetense +Dendrotrophe granulata +Dendrotrophe platyphylla +Korthalsella japonica +Osyris lanceolata +Phacellaria compressa +Pyrularia edulis +Thesium arvense +Thesium bomiense +Thesium cathaicum +Thesium chinense +Thesium emodi +Thesium himalense +Thesium jarmilae +Thesium longiflorum +Thesium longifolium +Thesium orgadophilum +Thesium refractum +Thesium tongolicum +Viscum album +Viscum album subsp. meridianum +Viscum articulatum +Viscum diospyrosicola +Viscum liquidambaricola +Viscum monoicum +Viscum nudum +Schoepfia fragrans +Schoepfia griffithii +Schoepfia jasminodora +Dendrophthoe falcata +Elytranthe albida +Elytranthe parasitica +Helixanthera intermedia +Helixanthera ligustrina +Helixanthera parasitica +Helixanthera terrestris +Loranthus delavayi +Loranthus europaeus +Loranthus lambertianus +Macrosolen avenis +Macrosolen cochinchinensis +Macrosolen psilanthus +Phyllodesmis delavayi +Scurrula atropurpurea +Scurrula buddleioides +Scurrula buddleioides var. heynei +Scurrula elata +Scurrula ferruginea +Scurrula parasitica +Scurrula parasitica var. graciliflora +Scurrula pulverulenta +Taxillus caloreas +Taxillus caloreas var. fargesii +Taxillus levinei +Taxillus reflexilobus +Taxillus sericus +Taxillus sutchuenensis +Taxillus thibetensis +Taxillus umbellifer +Taxillus vestitus +Tolypanthus involucratus +Myricaria bracteata +Myricaria germanica +Myricaria paniculata +Myricaria prostrata +Myricaria rosea +Myricaria squamosa +Myricaria wardii +Myrtama elegans +Reaumuria kaschgarica +Tamarix chinensis +Tamarix dioica +Ceratostigma griffithii +Ceratostigma minus +Ceratostigma ulicinum +Ceratostigma willmottianum +Limonium aureum +Plumbagella micrantha +Plumbago zeylanica +Bistorta affinis +Bistorta amplexicaulis +Bistorta amplexicaulis subsp. sinensis +Bistorta attenuatifolia +Bistorta coriacea +Bistorta emodi +Bistorta emodi var. dependens +Bistorta griffithii +Bistorta longispicata +Bistorta ludlowii +Bistorta macrophylla +Bistorta macrophylla var. stenophylla +Bistorta milletii +Bistorta officinalis +Bistorta paleacea +Bistorta perpusilla +Bistorta sherei +Bistorta sinomontana +Bistorta suffulta +Bistorta suffulta subsp. pergracilis +Bistorta tenuifolia +Bistorta tubistipulis +Bistorta vacciniifolia +Bistorta vivipara +Eskemukerjea megacarpum +Fagopyrum dibotrys +Fagopyrum esculentum +Fagopyrum gilesii +Fagopyrum gracilipes +Fagopyrum homotropicum +Fagopyrum leptopodum var. grossii +Fagopyrum tataricum +Fagopyrum tibeticum +Fagopyrum urophyllum +Fallopia aubertii +Fallopia convolvulus +Fallopia dentatoalata +Knorringia sibirica +Knorringia sibirica subsp. thomsonii +Koenigia alpina +Koenigia campanulata +Koenigia campanulata var. fulvida +Koenigia cathayana +Koenigia chuanzangensis +Koenigia cyanandra +Koenigia delicatula +Koenigia divaricata +Koenigia fertilis +Koenigia filicaulis +Koenigia forrestii +Koenigia hookeri +Koenigia islandica +Koenigia mollis +Koenigia mollis var. frondosa +Koenigia mollis var. rudis +Koenigia nummulariifolia +Koenigia pilosa +Koenigia polystachya +Koenigia tortuosa +Koenigia tortuosa var. glabrifolia +Oxyria digyna +Oxyria sinensis +Parogonum cynanchoides +Parogonum cynanchoides subsp. glabriusculum +Persicaria amphibia +Persicaria barbata +Persicaria capitata +Persicaria chinensis +Persicaria chinensis var. ovalifolia +Persicaria chinensis var. paradoxa +Persicaria decipiens +Persicaria filiformis +Persicaria glabra +Persicaria glacialis +Persicaria greuteriana +Persicaria hastatosagittata +Persicaria humilis +Persicaria hydropiper +Persicaria japonica +Persicaria jucunda +Persicaria kawagoeana +Persicaria lapathifolia +Persicaria lapathifolia var. lanata +Persicaria longiseta +Persicaria longiseta var. rotundata +Persicaria microcephala +Persicaria microcephala var. sphaerocephala +Persicaria minor +Persicaria muricata +Persicaria nepalensis +Persicaria orientalis +Persicaria palmata +Persicaria perfoliata +Persicaria posumbu +Persicaria praetermissa +Persicaria pubescens +Persicaria runcinata +Persicaria runcinata var. sinensis +Persicaria sagittata var. sieboldii +Persicaria sinuata +Persicaria strigosa +Persicaria strindbergii +Persicaria taquetii +Persicaria thunbergii +Persicaria virginiana +Polygonum aviculare +Polygonum chayuum +Polygonum cognatum +Polygonum cognatum subsp. chitralicum +Polygonum fusco-ochreatum +Polygonum paleaceum var. pubifolium +Polygonum paronychioides +Polygonum plebeium +Pteroxygonum giraldii +Rheum acuminatum +Rheum alexandrae +Rheum australe +Rheum delavayi +Rheum forrestii +Rheum glabricaule +Rheum globulosum +Rheum inopinatum +Rheum lhasaense +Rheum likiangense +Rheum moorcroftianum +Rheum nanum +Rheum nobile +Rheum officinale +Rheum palmatum +Rheum przewalskyi +Rheum pumilum +Rheum racemiferum +Rheum reticulatum +Rheum rhizostachyum +Rheum rhomboideum +Rheum spiciforme +Rheum sublanceolatum +Rheum tanguticum +Rheum tibeticum +Rheum webbianum +Rheum yunnanense +Rumex acetosa +Rumex angulatus +Rumex crispus +Rumex dentatus +Rumex gmelinii +Rumex hastatus +Rumex japonicus +Rumex maritimus +Rumex nepalensis +Drosera peltata +Acanthophyllum cerastioides +Arenaria monosperma +Arenaria neelgherrensis +Arenaria orbiculata +Arenaria oreophila +Arenaria przewalskii +Arenaria puranensis +Arenaria serpyllifolia +Arenaria smithiana +Brachystemma calycinum +Cerastium arvense +Cerastium arvense subsp. strictum +Cerastium fontanum +Cerastium fontanum subsp. grandiflorum +Cerastium fontanum subsp. vulgare +Cerastium furcatum +Cerastium glomeratum +Cerastium pusillum +Cerastium thomsonii +Dianthus orientalis +Dianthus superbus +Dichodon cerastoides +Dolophragma globiflorum +Dolophragma juniperinum +Dolophragma polytrichoides +Drymaria diandra +Drymaria villosa +Eremogone acicularis +Eremogone aksayqingensis +Eremogone baxoiensis +Eremogone brevipetala +Eremogone bryophylla +Eremogone capillaris +Eremogone depauperata +Eremogone edgeworthiana +Eremogone festucoides +Eremogone gerzensis +Eremogone griffithii +Eremogone haitzeshanensis +Eremogone ischnophylla +Eremogone juncea +Eremogone kansuensis +Eremogone pulvinata +Eremogone qinghaiensis +Eremogone roborowskii +Eremogone shannanensis +Gypsophila vaccaria +Himgiria compressa +Lepyrodiclis holosteoides +Minuartia macrocarpa +Moehringia trinervia +Odontostemma amdoense +Odontostemma auricomum +Odontostemma barbatum +Odontostemma barbatum var. hirsutissimum +Odontostemma bomiense +Odontostemma chamdoense +Odontostemma delavayi +Odontostemma euodontum +Odontostemma fimbriatum +Odontostemma fridericae +Odontostemma glandulosum +Odontostemma littledalei +Odontostemma longistylum +Odontostemma melanandrum +Odontostemma melandryiforme +Odontostemma melandryoides +Odontostemma monanthum +Odontostemma moniliferum +Odontostemma napuligerum var. monocephalum +Odontostemma nivalomontanum +Odontostemma pharense +Odontostemma pogonanthum +Odontostemma reductum +Odontostemma roseiflorum +Odontostemma saginoides +Odontostemma setiferum +Odontostemma spathulifolium +Odontostemma szechuense +Odontostemma trichophora +Odontostemma trichophorum +Odontostemma tumengelaense +Odontostemma yunnanense +Polycarpon prostratum +Psammosilene tunicoides +Pseudostellaria davidii +Pseudostellaria heterantha +Pseudostellaria himalaica +Pseudostellaria sylvatica +Pseudostellaria tibetica +Sabulina kashmirica +Sagina japonica +Sagina maxima +Sagina procumbens +Sagina saginoides +Schizotechium monospermum +Schizotechium paniculatum +Shivparvatia ciliolata +Shivparvatia forrestii +Shivparvatia glanduligera +Shivparvatia ramellata +Shivparvatia rhodantha +Shivparvatia stracheyi +Silene adenocalyx +Silene akiyamae +Silene aprica +Silene asclepiadea +Silene atsaensis +Silene baccifera +Silene batangensis +Silene bilingua +Silene birgittae +Silene caespitella +Silene cardiopetala +Silene cashmeriana +Silene colorata +Silene conoidea +Silene davidii +Silene delavayi +Silene esquamata +Silene gonosperma +Silene gracilicaulis +Silene graminifolia +Silene herbilegorum +Silene himalayensis +Silene holosteifolia +Silene huguettiae +Silene huguettiae var. pilosa +Silene indica +Silene jugora +Silene kialensis +Silene kumaonensis +Silene lhassana +Silene markamensis +Silene monbeigii +Silene moorcroftiana +Silene multifurcata +Silene namlaensis +Silene nangqenensis +Silene napuligera +Silene nepalensis +Silene nigrescens +Silene nigrescens subsp. latifolia +Silene nutans +Silene pterosperma +Silene pubicalycina +Silene puranensis +Silene rubricalyx +Silene subcretacea +Silene tibetica +Silene trachyphylla +Silene tubulosa +Silene wardii +Silene yetii +Silene yunnanensis +Silene zayuensis +Silene zhongbaensis +Silene zhoui +Stellaria alaschanica +Stellaria alsine +Stellaria aquatica +Stellaria arenarioides +Stellaria brachypetala +Stellaria congestiflora +Stellaria crassifolia var. linearis +Stellaria decumbens +Stellaria decumbens var. arenarioides +Stellaria decumbens var. polyantha +Stellaria decumbens var. pulvinata +Stellaria depressa +Stellaria dianthifolia +Stellaria graminea +Stellaria graminea var. chinensis +Stellaria graminea var. pilosula +Stellaria gyangtseensis +Stellaria gyirongensis +Stellaria infracta +Stellaria lanata +Stellaria mainlingensis +Stellaria media +Stellaria motuoensis +Stellaria neglecta +Stellaria nepalensis +Stellaria omeiensis +Stellaria ovatifolia +Stellaria pallida +Stellaria palustris +Stellaria patens +Stellaria petiolaris +Stellaria pusilla +Stellaria reticulivena +Stellaria semivestita +Stellaria sikkimensis +Stellaria souliei +Stellaria subumbellata +Stellaria uda +Stellaria umbellata +Stellaria vestita +Stellaria wallichiana +Thylacospermum caespitosum +Achyranthes aspera +Achyranthes bidentata +Acroglochin persicarioides +Agriophyllum squarrosum +Agriophyllum tibeticum +Alternanthera philoxeroides +Alternanthera pungens +Alternanthera sessilis +Amaranthus blitum +Amaranthus caudatus +Amaranthus cruentus +Amaranthus graecizans subsp. thellungianus +Amaranthus hybridus +Amaranthus hypochondriacus +Amaranthus retroflexus +Amaranthus spinosus +Amaranthus tricolor +Amaranthus viridis +Atriplex centralasiatica +Atriplex pallida +Axyris mira +Axyris prostrata +Bassia scoparia +Blitum litwinowii +Bosea amherstiana +Celosia argentea +Celosia cristata +Chenopodiastrum badachschanicum +Chenopodiastrum hybridum +Chenopodium acuminatum +Chenopodium acuminatum subsp. virgatum +Chenopodium album +Chenopodium atripliciforme +Chenopodium bryoniifolium +Chenopodium ficifolium +Chenopodium giganteum +Chenopodium iljinii +Chenopodium karoi +Chenopodium pamiricum +Chenopodium perttii +Chenopodium polyspermum +Chenopodium suecicum +Corispermum dutreuilii +Corispermum dutreuilii var. montanum +Corispermum falcatum +Corispermum gelidum +Corispermum lepidocarpum +Corispermum lhasaense +Corispermum nanum +Corispermum pamiricum +Corispermum pamiricum var. pilocarpum +Corispermum pseudofalcatum +Corispermum tibeticum +Cyathula capitata +Cyathula officinalis +Cyathula prostrata +Cyathula tomentosa +Deeringia amaranthoides +Dysphania ambrosioides +Dysphania bhutanica +Dysphania botrys +Dysphania geoffreyi +Dysphania himalaica +Dysphania kitiae +Dysphania nepalensis +Dysphania schraderiana +Dysphania tibetica +Grubovia dasyphylla +Halogeton glomeratus +Halogeton glomeratus var. tibeticus +Kali collinum +Kali monopterum +Kali nepalense +Kali tragus +Krascheninnikovia ceratoides +Krascheninnikovia compacta +Krascheninnikovia compacta var. longipilosa +Microgynoecium tibeticum +Neobotrydium ornithopodum +Ouret sanguinolenta +Oxybasis glauca +Psilotrichum ferrugineum +Salsola austrotibetica +Salsola hartmannii +Salsola jacquemontii +Spinacia oleracea +Stilbanthus scandens +Suaeda corniculata +Suaeda corniculata var. olufsenii +Suaeda prostrata +Sympegma regelii +Teloxys aristata +Phytolacca acinosa +Phytolacca americana +Phytolacca polyandra +Boerhavia diffusa +Bougainvillea glabra +Bougainvillea spectabilis +Commicarpus lantsangensis +Mirabilis jalapa +Oxybaphus himalaicus +Oxybaphus himalaicus var. chinensis +Paramollugo nudicaulis +Trigastrotheca stricta +Portulaca oleracea +Hylocereus undatus +Opuntia ficus-indica +Opuntia monacantha +Opuntia stricta +Mastixia pentandra subsp. chinensis +Nyssa javanica +Nyssa sinensis +Deutzia aspera +Deutzia bomiensis +Deutzia compacta +Deutzia corymbosa +Deutzia grandiflora +Deutzia hookeriana +Deutzia longifolia +Deutzia monbeigii +Deutzia parviflora var. micrantha +Deutzia purpurascens +Deutzia staminea +Deutzia wardiana +Dichroa febrifuga +Hydrangea anomala +Hydrangea aspera +Hydrangea bretschneideri +Hydrangea chinensis +Hydrangea heteromalla +Hydrangea hypoglauca +Hydrangea macrocarpa +Hydrangea macrophylla +Hydrangea robusta +Hydrangea strigosa +Philadelphus delavayi +Philadelphus delavayi var. trichocladus +Philadelphus laxiflorus +Philadelphus purpurascens +Philadelphus tomentosus +Pileostegia viburnoides +Alangium alpinum +Alangium chinense +Alangium faberi var. dolichocarpum +Alangium kurzii +Cornus capitata +Cornus chinensis +Cornus controversa +Cornus hemsleyi +Cornus macrophylla +Cornus macrophylla var. stracheyi +Cornus oblonga +Cornus oblonga var. glabrescens +Cornus oblonga var. griffithii +Cornus schindleri +Cornus schindleri subsp. poliophylla +Cornus sunhangii +Cornus ulotricha +Impatiens amplexicaulis +Impatiens apsotis +Impatiens arguta +Impatiens ashihoi +Impatiens aureliana +Impatiens bahanensis +Impatiens balsamina +Impatiens benthamii +Impatiens bicornuta +Impatiens bomiensis +Impatiens brachycentra +Impatiens bracteata +Impatiens bracteolata +Impatiens cathcartii +Impatiens chimiliensis +Impatiens chinensis +Impatiens clavigera +Impatiens conaensis +Impatiens crassicaudex +Impatiens cristata +Impatiens cymbifera +Impatiens davidii +Impatiens delavayi +Impatiens desmantha +Impatiens discolor +Impatiens drepanophora +Impatiens falcifer +Impatiens fragicolor +Impatiens gammiei +Impatiens harae +Impatiens infirma +Impatiens jurpia +Impatiens khasiana +Impatiens laevigata +Impatiens latiflora +Impatiens laxiflora +Impatiens linghziensis +Impatiens longipes +Impatiens margaritifera +Impatiens margaritifera var. humilis +Impatiens margaritifera var. purpurascens +Impatiens martinii +Impatiens medongensis +Impatiens meruensis +Impatiens namchabarwensis +Impatiens noli-tangere +Impatiens nubigena +Impatiens nyimana +Impatiens occultans +Impatiens paludosa +Impatiens pasighatensis +Impatiens pathakiana +Impatiens porrecta +Impatiens pseudocitrina +Impatiens pseudolaevigata +Impatiens pseudolongipes +Impatiens puberula +Impatiens pulchra +Impatiens purpurea +Impatiens racemosa +Impatiens racemosa var. ecalcarata +Impatiens radiata +Impatiens rectangula +Impatiens rugosipetala +Impatiens scabrida +Impatiens serrata +Impatiens shiyomiensis +Impatiens siangensis +Impatiens siculifer +Impatiens soulieana +Impatiens stenentha +Impatiens sulcata +Impatiens tajoensis +Impatiens tenuibracteata +Impatiens thomsonii +Impatiens tirbinensis +Impatiens tripetala +Impatiens tuberculata +Impatiens uncipetala +Impatiens unguiculata +Impatiens urticifolia +Phlox drummondii +Phlox paniculata +Barringtonia acutangula +Careya arborea +Adinandra griffithii +Adinandra hirta +Adinandra kamalae +Cleyera japonica var. wallichiana +Eurya acuminata +Eurya arunachalensis +Eurya cavinervis +Eurya chukiangensis +Eurya crassilimba +Eurya gracilipes +Eurya groffii +Eurya gungshanensis +Eurya handel-mazzettii +Eurya inaequalis +Eurya japonica +Eurya loquaiana +Eurya nitida +Eurya paratetragonoclada +Eurya pseudocerasifera +Eurya taronensis +Eurya trichocarpa +Eurya tsaii +Ternstroemia biangulipes +Ternstroemia gymnanthera +Diploknema butyracea +Diploknema butyraceoides +Donella lanceolata +Madhuca longifolia +Mimusops elengi +Palaquium obovatum +Palaquium polyanthum +Sarcosperma arboreum +Sarcosperma griffithii +Sarcosperma kachinense +Diospyros cacharensis +Diospyros kaki +Diospyros lanceifolia +Diospyros lotus +Diospyros malabarica +Diospyros nigricans +Diospyros toposia +Diospyros variegata +Amblyanthopsis membranacea +Amblyanthus chenii +Amblyanthus glandulosus +Amblyanthus obovatus +Androsace adenocephala +Androsace bisulca +Androsace bulleyana +Androsace ciliifolia +Androsace croftii +Androsace cuttingii +Androsace delavayi +Androsace elatior +Androsace erecta +Androsace forrestiana +Androsace geraniifolia +Androsace globifera +Androsace gmelinii +Androsace graceae +Androsace graminifolia +Androsace henryi +Androsace hookeriana +Androsace laggeri +Androsace lehmannii +Androsace mariae +Androsace mollis +Androsace nortonii +Androsace ovalifolia +Androsace pomeiensis +Androsace robusta +Androsace rotundifolia +Androsace rotundifolia var. glandulosa +Androsace sarmentosa +Androsace selago +Androsace squarrosula +Androsace stenophylla +Androsace strigillosa +Androsace tanggulashanensis +Androsace tapete +Androsace umbellata +Androsace wardii +Androsace yargongensis +Androsace zambalensis +Androsace zayulensis +Ardisia colorata +Ardisia crenata +Ardisia crispa +Ardisia garrettii +Ardisia griffithii +Ardisia humilis +Ardisia icara +Ardisia japonica +Ardisia macrocarpa +Ardisia medogensis +Ardisia paniculata +Ardisia pedunculosa +Ardisia polysticta +Ardisia rhynchophylla +Ardisia solanacea +Ardisia thomsonii +Ardisia thyrsiflora +Bryocarpum himalaicum +Embelia arunachalensis +Embelia floribunda +Embelia gamblei +Embelia parviflora +Embelia ribes +Embelia tsjeriam-cottam +Embelia undulata +Embelia vestita +Hymenandra wallichii +Lysimachia alternifolia +Lysimachia assamica +Lysimachia chenopodioides +Lysimachia congestiflora +Lysimachia debilis +Lysimachia decurrens +Lysimachia deltoidea +Lysimachia evalvis +Lysimachia laxa +Lysimachia maritima +Lysimachia medogensis +Lysimachia prolifera +Lysimachia tsarongensis +Maesa arunachalensis +Maesa cavinervis +Maesa chisia +Maesa lanceolata +Maesa marioniae +Maesa maxima +Maesa nayarii +Maesa rugosa +Maesa truncata +Maesa ziroensis +Myrsine africana +Myrsine capitellata +Myrsine kwangsiensis +Myrsine seguinii +Myrsine semiserrata +Omphalogramma brachysiphon +Omphalogramma elegans +Omphalogramma elwesianum +Omphalogramma minus +Omphalogramma souliei +Omphalogramma tibeticum +Omphalogramma vinciflorum +Pomatosace filicula +Primula advena +Primula advena var. euprepes +Primula agleniana +Primula aliciae +Primula alpicola +Primula amethystina subsp. brevifolia +Primula arunachalensis +Primula assamica +Primula atrodentata +Primula baileyana +Primula barbatula +Primula bella +Primula bellidifolia +Primula blandula +Primula blinii +Primula bomiensis +Primula bracteata +Primula bracteosa +Primula buryana +Primula caldaria +Primula calderiana +Primula calliantha subsp. bryophila +Primula calliantha subsp. mishmiensis +Primula calthifolia +Primula candicans +Primula capitata +Primula capitata subsp. lacteocapitata +Primula capitata subsp. sphaerocephala +Primula caveana +Primula cawdoriana +Primula chamaedoron +Primula chamaethauma +Primula chionantha +Primula chionata +Primula chionata var. violacea +Primula chionogenes +Primula chumbiensis +Primula chungensis +Primula clutterbuckii +Primula concinna +Primula cunninghamii +Primula deflexa +Primula denticulata +Primula diantha +Primula dickieana +Primula dryadifolia +Primula dryadifolia subsp. jonardunii +Primula dumicola +Primula eburnea +Primula elizabethiae +Primula elongata +Primula elongata var. barnardoana +Primula erythrocarpa +Primula falcifolia +Primula falcifolia var. farinifera +Primula fasciculata +Primula fernaldiana +Primula filipes +Primula firmipes +Primula flabellifera +Primula florindae +Primula gambeliana +Primula gemmifera +Primula gemmifera var. amoena +Primula geraniifolia +Primula glabra +Primula glabra subsp. genestieriana +Primula glomerata +Primula gracilipes +Primula graminifolia +Primula griffithii +Primula henrici +Primula hilaris +Primula hookeri +Primula hookeri var. violacea +Primula ioessa +Primula irregularis +Primula jaffreyana +Primula jigmediana +Primula jucunda +Primula kingii +Primula klattii +Primula kongboensis +Primula lacerata +Primula latisecta +Primula laxiuscula +Primula limbata +Primula listeri +Primula littledalei +Primula macrophylla +Primula macrophylla var. atra +Primula mallophylla +Primula medogensis +Primula megalocarpa +Primula meiotera +Primula minor +Primula minutissima +Primula munroi +Primula munroi subsp. yargongensis +Primula muscoides +Primula nana +Primula ninguida +Primula nutans +Primula obliqua +Primula obtusifolia +Primula occlusa +Primula odontica +Primula petiolaris +Primula pinnatifida +Primula polonensis +Primula praetermissa +Primula prenantha +Primula prenantha subsp. morsheadiana +Primula primulina +Primula pulchella +Primula pumilio +Primula reticulata +Primula rhodochroa +Primula rhodochroa var. geraldinae +Primula rimicola +Primula rotundifolia +Primula rubicunda +Primula sandemaniana +Primula sapphirina +Primula scapigera +Primula secundiflora +Primula septemloba var. minor +Primula serratifolia +Primula sessilis +Primula sherriffiae +Primula sikkimensis +Primula silaensis +Primula smithiana +Primula stenocalyx +Primula strumosa +Primula strumosa subsp. tenuipes +Primula stuartii +Primula subularia +Primula tangutica var. flavescens +Primula tanneri +Primula tayloriana +Primula tenella +Primula tenuiloba +Primula tibetica +Primula triloba +Primula tsariensis +Primula tsariensis var. porrecta +Primula tsongpenii +Primula vaginata +Primula vaginata subsp. eucyclia +Primula vaginata subsp. normaniana +Primula valentiniana +Primula waddellii +Primula walshii +Primula waltonii +Primula watsonii +Primula whitei +Primula wollastonii +Primula youngeriana +Sadiria aberrans +Sadiria erecta var. longipetiolata +Sadiria eugeniifolia +Sadiria griffithii +Sadiria subsessilifolia +Camellia azalea +Camellia caudata +Camellia kissii +Camellia sinensis +Pyrenaria barringtoniifolia +Pyrenaria khasiana +Schima khasiana +Schima parviflora +Schima sericans +Schima wallichii +Stewartia medogensis +Stewartia pteropetiolata +Stewartia sinensis +Symplocos adenophylla +Symplocos anomala +Symplocos cochinchinensis +Symplocos dryophila +Symplocos glauca +Symplocos glomerata +Symplocos lucida +Symplocos oxyphylla +Symplocos paniculata +Symplocos phyllocalyx +Symplocos pyrifolia +Symplocos racemosa +Symplocos ramosissima +Symplocos sulcata +Symplocos sumuntia +Symplocos theophrastifolia +Symplocos viridissima +Symplocos xylopyrena +Berneuxia thibetica +Diapensia himalaica +Diapensia purpurea +Diapensia wardii +Alniphyllum fortunei +Bruinsmia polysperma +Huodendron biaristatum +Huodendron tibeticum +Parastyrax lacei +Rehderodendron microcarpum +Styrax hookeri +Styrax serrulatus +Actinidia callosa +Actinidia callosa var. henryi +Actinidia chinensis +Actinidia pilosula +Actinidia umbelloides +Actinidia venosa +Clematoclethra scandens +Saurauia armata +Saurauia cerea +Saurauia erythrocarpa +Saurauia fasciculata +Saurauia griffithii +Saurauia griffithii var. annamica +Saurauia macrotricha +Saurauia miniata +Saurauia napaulensis +Saurauia polyneura +Saurauia polyneura var. paucinervis +Saurauia punduana +Saurauia roxburghii +Saurauia rubricalyx +Saurauia sinohirsuta +Saurauia yunnanensis +Clethra delavayi +Clethra petelotii +Agapetes aborensis +Agapetes acuminata +Agapetes angulata +Agapetes anonyma +Agapetes atrosanguinea +Agapetes buxifolia +Agapetes camelliifolia +Agapetes ciliata +Agapetes discolor +Agapetes forrestii +Agapetes graciliflora +Agapetes griffithii +Agapetes huangiana +Agapetes hyalocheilos +Agapetes incurvata +Agapetes interdicta +Agapetes lacei +Agapetes lacei var. glaberrima +Agapetes lacei var. tomentella +Agapetes leucocarpa +Agapetes linearifolia +Agapetes listeri +Agapetes marginata +Agapetes medogensis +Agapetes megacarpa +Agapetes miniata +Agapetes miranda +Agapetes mitrarioides +Agapetes nutans +Agapetes nuttallii +Agapetes pilifera +Agapetes praeclara +Agapetes praestigiosa +Agapetes pyrolifolia +Agapetes refracta +Agapetes salicifolia +Agapetes serpens +Agapetes spissa +Agapetes subansirica +Agapetes subsessilifolia +Agapetes variegata +Agapetes xiana +Agapetes xizangensis +Cassiope abbreviata +Cassiope fastigiata +Cassiope palpebrata +Cassiope pectinata +Cassiope selaginoides +Cassiope wardii +Chimaphila japonica +Craibiodendron henryi +Craibiodendron yunnanense +Diplarche multiflora +Diplarche pauciflora +Enkianthus chinensis +Enkianthus deflexus +Gaultheria albiflora +Gaultheria brevistipes +Gaultheria ciliisepala +Gaultheria codonantha +Gaultheria crassifolia +Gaultheria dolichopoda +Gaultheria dumicola var. aspera +Gaultheria dumicola var. petanoneuron +Gaultheria eciliata +Gaultheria fragrantissima +Gaultheria griffithiana +Gaultheria heteromera +Gaultheria hookeri +Gaultheria hypochlora +Gaultheria insignis +Gaultheria kamengiana +Gaultheria major +Gaultheria nummularioides +Gaultheria obovata +Gaultheria praticola +Gaultheria pseudonotabilis +Gaultheria purpurea +Gaultheria pyrolifolia +Gaultheria semi-infera +Gaultheria seshagiriana +Gaultheria sinensis +Gaultheria sinensis var. nivea +Gaultheria stenophylla +Gaultheria straminea +Gaultheria suborbicularis +Gaultheria tetramera +Gaultheria thymifolia +Gaultheria trichophylla +Gaultheria trigonoclada +Gaultheria wardii +Gaultheria wardii var. elongata +Hypopitys monotropa +Leucothoe griffithiana +Lyonia doyonensis +Lyonia macrocalyx +Lyonia ovalifolia +Lyonia ovalifolia var. hebecarpa +Lyonia ovalifolia var. lanceolata +Lyonia ovalifolia var. tomentosa +Lyonia villosa +Lyonia villosa var. sphaerantha +Moneses uniflora +Monotropa uniflora +Monotropastrum humile +Orthilia obtusata +Orthilia secunda +Pieris formosa +Pyrola atropurpurea +Pyrola calliantha +Pyrola decorata +Pyrola forrestiana +Pyrola minor +Pyrola rotundifolia +Pyrola sororia +Rhododendron × bathyphyllm +Rhododendron × erythrocalyx +Rhododendron adenogynum +Rhododendron aganniphum +Rhododendron aganniphum var. flavorufum +Rhododendron aganniphum var. schizopeplum +Rhododendron alutaceum +Rhododendron alutaceum var. iodes +Rhododendron alutaceum var. russotinctum +Rhododendron amandum +Rhododendron anthopogon +Rhododendron anthosphaerum +Rhododendron arboreum +Rhododendron arboreum var. cinnamomeum +Rhododendron arboreum var. peramoenum +Rhododendron arboreum var. roseum +Rhododendron argipeplum +Rhododendron arizelum +Rhododendron augustinii subsp. chasmanthum +Rhododendron auritum +Rhododendron baileyi +Rhododendron bainbridgeanum +Rhododendron balfourianum var. aganniphoides +Rhododendron barbatum +Rhododendron basilicum +Rhododendron beanianum +Rhododendron beesianum +Rhododendron boothii +Rhododendron brachyanthum +Rhododendron brachyanthum subsp. hypolepidotum +Rhododendron bulu +Rhododendron callimorphum +Rhododendron calostrotum +Rhododendron calostrotum var. calciphilum +Rhododendron calvescens +Rhododendron calvescens var. duseimatum +Rhododendron camelliiflorum +Rhododendron campanulatum +Rhododendron campanulatum subsp. aeruginosum +Rhododendron campylocarpum +Rhododendron campylogynum +Rhododendron catacosum +Rhododendron cephalanthum +Rhododendron cerasinum +Rhododendron chamaethomsonii +Rhododendron chamaethomsonii var. chamaedoron +Rhododendron chamaethomsonii var. chamaethauma +Rhododendron charitopes +Rhododendron charitopes subsp. tsangpoense +Rhododendron chrysodoron +Rhododendron ciliatum +Rhododendron cinnabarinum +Rhododendron cinnabarinum var. roylei +Rhododendron circinnatum +Rhododendron citriniflorum +Rhododendron citriniflorum var. horaeum +Rhododendron comisteum +Rhododendron concinnoides +Rhododendron coriaceum +Rhododendron coryanum +Rhododendron cowanianum +Rhododendron crenulatum +Rhododendron crinigerum +Rhododendron dalhousieae +Rhododendron decorum +Rhododendron dekatanum +Rhododendron dendricola +Rhododendron dignabile +Rhododendron eclecteum +Rhododendron eclecteum var. bellatulum +Rhododendron edgeworthii +Rhododendron erastum +Rhododendron erosum +Rhododendron esetulosum +Rhododendron eudoxum +Rhododendron eudoxum var. bruneifolium +Rhododendron eudoxum var. mesopolium +Rhododendron eurysiphon +Rhododendron exasperatum +Rhododendron falconeri +Rhododendron faucium +Rhododendron flavantherum +Rhododendron fletcherianum +Rhododendron floccigerum +Rhododendron formosum +Rhododendron forrestii +Rhododendron forrestii subsp. papillatum +Rhododendron fragariiflorum +Rhododendron fulgens +Rhododendron fulvastrum +Rhododendron fulvum +Rhododendron genestierianum +Rhododendron glaucophyllum +Rhododendron glischrum +Rhododendron glischrum subsp. rude +Rhododendron grande +Rhododendron griffithianum +Rhododendron haematodes +Rhododendron haematodes subsp. chaetomallum +Rhododendron heliolepis +Rhododendron heliolepis var. oporinum +Rhododendron hirtipes +Rhododendron hodgsonii +Rhododendron hookeri +Rhododendron hylaeum +Rhododendron hypenanthum +Rhododendron igneum +Rhododendron inaequale +Rhododendron insculptum +Rhododendron johnstoneanum +Rhododendron kasoense +Rhododendron keleticum +Rhododendron kendrickii +Rhododendron keysii +Rhododendron kongboense +Rhododendron lanatoides +Rhododendron lanatum +Rhododendron lanigerum +Rhododendron laudandum +Rhododendron laudandum var. temoense +Rhododendron lepidotum +Rhododendron leptocarpum +Rhododendron leucaspis +Rhododendron Lindl.i +Rhododendron ludlowii +Rhododendron lukiangense +Rhododendron lulangense +Rhododendron mackenzianum +Rhododendron maddenii +Rhododendron maddenii subsp. crassum +Rhododendron magnificum +Rhododendron mainlingense +Rhododendron martinianum +Rhododendron medoense +Rhododendron megacelyx +Rhododendron megalanthum +Rhododendron megeratum +Rhododendron mekongense +Rhododendron mekongense var. melinanthum +Rhododendron mekongense var. rubrolineatum +Rhododendron microgynum +Rhododendron miniatum +Rhododendron monanthum +Rhododendron montroseanum +Rhododendron moulmainense +Rhododendron nayarii +Rhododendron neriiflorum +Rhododendron neriiflorum var. appropinquans +Rhododendron neriifolium +Rhododendron nitidulum +Rhododendron nivale +Rhododendron nivale subsp. australe +Rhododendron nivale subsp. boreale +Rhododendron niveum +Rhododendron nuttallii +Rhododendron nyingchiense +Rhododendron obtusum +Rhododendron oreogenum +Rhododendron oreotrephes +Rhododendron papillatum +Rhododendron parmulatum +Rhododendron parryae +Rhododendron pemakoense +Rhododendron pendulum +Rhododendron phaeochrysum +Rhododendron phaeochrysum var. agglutinatum +Rhododendron phaeochrysum var. levistratum +Rhododendron piercei +Rhododendron pingianum +Rhododendron pocophorum +Rhododendron pocophorum var. hemidartum +Rhododendron polycladum +Rhododendron pomense +Rhododendron populare +Rhododendron praestans +Rhododendron primuliflorum +Rhododendron primuliflorum var. cephalanthoides +Rhododendron principis +Rhododendron proteoides +Rhododendron protistum +Rhododendron pruniflorum +Rhododendron przewalskii +Rhododendron pudorosum +Rhododendron pumilum +Rhododendron ramipilosum +Rhododendron ramsdenianum +Rhododendron roxieanum +Rhododendron roxieanum var. cucullatum +Rhododendron rubiginosum +Rhododendron rupicola +Rhododendron rupicola var. chryseum +Rhododendron saluenense +Rhododendron saluenense var. prostratum +Rhododendron sanguineum +Rhododendron sanguineum var. cloiophorum +Rhododendron sanguineum var. didymoides +Rhododendron sanguineum var. didymum +Rhododendron sanguineum var. haemaleum +Rhododendron sanguineum var. himertum +Rhododendron santapaui +Rhododendron scopulorum +Rhododendron seinghkuense +Rhododendron selense +Rhododendron selense subsp. dasycladum +Rhododendron semnoides +Rhododendron setiferum +Rhododendron setosum +Rhododendron sherriffii +Rhododendron sidereum +Rhododendron siderophyllum +Rhododendron sinogrande +Rhododendron sinonuttallii +Rhododendron souliei +Rhododendron sperabile +Rhododendron sperabile var. weihsiense +Rhododendron sperabiloides +Rhododendron stewartianum +Rhododendron subansiriense +Rhododendron succothii +Rhododendron taggianum +Rhododendron tanastylum +Rhododendron tanastylum var. lingzhiense +Rhododendron tapetiforme +Rhododendron telmateium +Rhododendron temenium +Rhododendron temenium var. dealbatum +Rhododendron temenium var. gilvum +Rhododendron tenuifolium +Rhododendron tephropeplum +Rhododendron thomsonii +Rhododendron thomsonii subsp. lopsangianum +Rhododendron titapuriense +Rhododendron traillianum +Rhododendron traillianum var. dictyotum +Rhododendron trichocladum +Rhododendron trichostomum +Rhododendron triflorum +Rhododendron trilectorum +Rhododendron tsariense +Rhododendron tsariense var. trimoense +Rhododendron tubiforme +Rhododendron tubulosum +Rhododendron uniflorum +Rhododendron uvariifolium +Rhododendron vaccinioides +Rhododendron vellereum +Rhododendron venator +Rhododendron vernicosum +Rhododendron vesiculiferum +Rhododendron virgatum +Rhododendron viridescens +Rhododendron viscidifolium +Rhododendron wallichii +Rhododendron walongense +Rhododendron wardii +Rhododendron wightii +Rhododendron williamsianum +Rhododendron xanthocodon +Rhododendron xanthostephanum +Rhododendron yunnanense +Vaccinium brachyandrum +Vaccinium bracteatum +Vaccinium chaetothrix +Vaccinium corymbosum +Vaccinium delavayi +Vaccinium dendrocharis +Vaccinium duclouxii +Vaccinium dunalianum +Vaccinium dunalianum var. urophyllum +Vaccinium fragile +Vaccinium gaultheriifolium +Vaccinium glaucoalbum +Vaccinium iteophyllum +Vaccinium iteophyllum var. glandulosum +Vaccinium kingdon-wardii +Vaccinium lanigerum +Vaccinium leucobotrys +Vaccinium modestum +Vaccinium motuoense +Vaccinium nummularia +Vaccinium papillatum +Vaccinium papulosum +Vaccinium retusum +Vaccinium sikkimense +Vaccinium spiculatum +Vaccinium stenanthum +Vaccinium subdissitifolium +Vaccinium tenuiflorum +Vaccinium urceolatum var. pubescens +Vaccinium vacciniaceum +Vaccinium vacciniaceum subsp. glabritubum +Vaccinium venosum +Iodes cirrhosa +Mappianthus iodoides +Miquelia assamica +Natsiatopsis thunbergiifolia +Natsiatum herpeticum +Aucuba himalaica +Aidia cochinchinensis +Argostemma verticillatum +Asperula oppositifolia +Benkara fasciculata +Brachytome hirtellata var. glabrescens +Brachytome wallichii +Canthium glabrum +Catunaregam nutans +Catunaregam spinosa +Cephalanthus tetrandra +Ceriscoides campanulata +Chassalia curviflora +Coffea benghalensis +Damnacanthus indicus +Dentella repens +Dimetia scandens +Diplospora fruticosa +Galium acutum +Galium aparine +Galium asperifolium +Galium asperifolium var. sikkimense +Galium asperifolium var. verrucifructum +Galium asperuloides +Galium baldensiforme +Galium blinii +Galium boreale +Galium bungei +Galium dahuricum +Galium dahuricum var. lasiocarpum +Galium elegans +Galium exile +Galium glandulosum +Galium hoffmeisteri +Galium kamtschaticum +Galium megacyttarion +Galium odoratum +Galium rebae +Galium salwinense +Galium serpylloides +Galium spurium +Galium tricornutum +Galium trifidum +Galium verum +Haldina cordifolia +Hedyotis auricularia +Hedyotis herbacea +Hedyotis tenelliflora +Hedyotis uncinella +Himalrandia tetrasperma +Hymenodictyon orixense +Hyptianthera stricta +Ixora subsessilis +Ixora undulata +Kelloggia chinensis +Khasiaclunea oligocephala +Knoxia sumatrensis +Lasianthus attenuatus +Lasianthus biermannii +Lasianthus hookeri +Lasianthus japonicus subsp. longicaudus +Lasianthus lucidus +Lasianthus micranthus +Lasianthus sikkimensis +Leptodermis amoena +Leptodermis forrestii +Leptodermis gracilis +Leptodermis griffithii +Leptodermis hirsutiflora +Leptodermis hirsutiflora var. ciliata +Leptodermis kumaonensis +Leptodermis lanceolata +Leptodermis ludlowii +Leptodermis oblonga +Leptodermis parkeri +Leptodermis pilosa +Leptodermis potanini +Leptodermis potanini var. glauca +Leptodermis purdomii +Leptodermis scabrida +Leptodermis schneideri +Leptodermis velutiniflora +Leptodermis velutiniflora var. tenera +Leptodermis virgata +Leptodermis xizangensis +Luculia grandifolia +Luculia gratissima +Luculia pinceana +Meyna laxiflora +Meyna spinosa +Mitracarpus hirtus +Morinda angustifolia +Morinda coreia +Morinda lacunosa +Morinda villosa +Mussaenda decipiens +Mussaenda glabra +Mussaenda incana +Mussaenda macrophylla +Mussaenda roxburghii +Mycetia faberi +Mycetia hirta +Mycetia listeri +Mycetia longifolia +Mycetia mukerjiana +Mycetia nepalensis +Mycetia nutans +Mycetia radiciflora +Mycetia stipulata +Mycetia stipulata subsp. macrostachya +Mycetia tonkinensis +Neanotis calycina +Neanotis gracilis +Neanotis hirsuta +Neanotis ingrata +Neanotis thwaitesiana +Neanotis wightiana +Neohymenopogon assamicus +Neohymenopogon parasiticus +Neolamarckia cadamba +Neonauclea gageana +Neonauclea griffithii +Neonauclea sessilifolia +Nertera sinensis +Nostolachma jenkinsii +Nostolachma khasiana +Oldenlandia corymbosa +Oldenlandia glabra +Oldenlandia monocephala +Ophiorrhiza arunachalensis +Ophiorrhiza calcarata +Ophiorrhiza debiana +Ophiorrhiza dulongensis +Ophiorrhiza fasciculata +Ophiorrhiza heterostyla +Ophiorrhiza hispida +Ophiorrhiza laevifolia +Ophiorrhiza lurida +Ophiorrhiza medogensis +Ophiorrhiza medogensis var. shiyomiensis +Ophiorrhiza mungos +Ophiorrhiza nutans +Ophiorrhiza ochroleuca +Ophiorrhiza pauciflora +Ophiorrhiza repens +Ophiorrhiza rosea +Ophiorrhiza rugosa +Ophiorrhiza subcapitata +Ophiorrhiza succirubra +Ophiorrhiza thomsonii +Ophiorrhiza tingens +Ophiorrhiza treutleri +Ophiorrhiza trichocarpos +Ophiorrhiza umbricola +Ophiorrhiza villosa +Ophiorrhiza wallichii +Ophiorrhiza wattii +Oxyceros griffithii +Paederia foetida +Pavetta crassicaulis +Pavetta polyantha +Pavetta subcapitata +Pavetta tomentosa +Polyura geminata +Pseudogalium paradoxum +Psychotria aborensis +Psychotria adenophylla +Psychotria burkillii +Psychotria calocarpa +Psychotria denticulata +Psychotria erratica +Psychotria monticola +Psychotria silhetensis +Psychotria yunnanensis +Psydrax dicocca +Rubia chinensis +Rubia cordifolia +Rubia manjith +Rubia membranacea +Rubia oncotricha +Rubia podantha +Rubia sikkimensis +Rubia tibetica +Rubia wallichiana +Saprosma ternata +Scleromitrion diffusum +Scleromitrion verticillatum +Spermacoce alata +Spermacoce exilis +Spermacoce ocymoides +Spermacoce pusilla +Spermadictyon suaveolens +Spiradiclis arunachalensis +Spiradiclis bifida +Spiradiclis caespitosa +Spiradiclis cylindrica +Spiradiclis xizangensis +Tarenna asiatica +Tarenna disperma +Tarenna odorata +Tarennoidea wallichii +Uncaria homomalla +Uncaria scandens +Uncaria sessilifructus +Uncaria sinensis +Wendlandia grandis +Wendlandia puberula +Wendlandia scabra +Wendlandia speciosa +Wendlandia wallichii +Canscora alata +Canscora andrographioides +Comastoma cyananthiflorum +Comastoma falcatum +Comastoma muliense +Comastoma pedunculatum +Comastoma pulmonarium +Comastoma stellariifolium +Comastoma tenellum +Cotylanthera paucisquama +Crawfurdia angustata +Crawfurdia arunachalensis +Crawfurdia campanulacea +Crawfurdia crawfurdioides +Crawfurdia crawfurdioides var. iochroa +Crawfurdia dimidiata +Crawfurdia lobatilimba +Crawfurdia nyingchiensis +Crawfurdia puberula +Crawfurdia speciosa +Crawfurdia thibetica +Exacum nanum +Exacum tetragonum +Fagraea ceilanica +Gentiana albicalyx +Gentiana albomarginata +Gentiana algida +Gentiana altigena +Gentiana altorum +Gentiana amplicrater +Gentiana aquatica +Gentiana arethusae var. delicatula +Gentiana aristata +Gentiana atuntsiensis +Gentiana bomiensis +Gentiana bryoides +Gentiana burkillii +Gentiana burmensis +Gentiana caelestis +Gentiana caeruleogrisea +Gentiana capitata +Gentiana clarkei +Gentiana crassicaulis +Gentiana crassula +Gentiana crassuloides +Gentiana crenulatotruncata +Gentiana cristata +Gentiana cuneibarba +Gentiana dahurica +Gentiana depressa +Gentiana ecaudata +Gentiana elwesii +Gentiana emodii +Gentiana erectosepala +Gentiana exquisita +Gentiana faucipilosa +Gentiana filistyla +Gentiana formosa +Gentiana forrestii +Gentiana futtereri +Gentiana georgei +Gentiana gilvostriata +Gentiana glabriuscula +Gentiana globosa +Gentiana gyirongensis +Gentiana handeliana +Gentiana harrowiana +Gentiana haynaldii +Gentiana heleonastes +Gentiana hexaphylla +Gentiana himalayaensis +Gentiana hoae +Gentiana huxleyi +Gentiana lacerulata +Gentiana lacinulata +Gentiana lawrencei +Gentiana lawrencei var. farreri +Gentiana laxiflora +Gentiana leucomelaena +Gentiana lhassica +Gentiana macrauchena +Gentiana mailingensis +Gentiana micans +Gentiana micantiformis +Gentiana muscicola +Gentiana namlaensis +Gentiana nanobella +Gentiana nubigena +Gentiana nyalamensis +Gentiana nyalamensis var. parviflora +Gentiana nyingchiensis +Gentiana obconica +Gentiana oreodoxa +Gentiana ornata +Gentiana panthaica +Gentiana papillosa +Gentiana parvula +Gentiana pedicellata +Gentiana phyllocalyx +Gentiana prainii +Gentiana prattii +Gentiana prolata +Gentiana prostrata +Gentiana prostrata var. karelinii +Gentiana prostrata var. ludlowii +Gentiana pseudoaquatica +Gentiana pseudosquarrosa +Gentiana purdomii +Gentiana recurvata +Gentiana robusta +Gentiana scabrifilamenta +Gentiana sikkimensis +Gentiana simulatrix +Gentiana sino-ornata +Gentiana sino-ornata var. gloriosa +Gentiana squarrosa +Gentiana stellata +Gentiana stipitata +Gentiana stipitata subsp. tizuensis +Gentiana stragulata +Gentiana straminea +Gentiana suborbisepala +Gentiana suborbisepala var. kialensis +Gentiana subuliformis +Gentiana szechenyii +Gentiana tatsienensis +Gentiana tetrasticha +Gentiana tibetica +Gentiana tongolensis +Gentiana trichotoma +Gentiana trichotoma var. chingii +Gentiana tubiflora +Gentiana urnula +Gentiana veitchiorum +Gentiana venusta +Gentiana vernayi +Gentiana vernayi subsp. atropurpurea +Gentiana waltonii +Gentiana wardii +Gentiana wardii var. emergens +Gentiana wardii var. micrantha +Gentiana yunnanensis +Gentianella angustiflora +Gentianella arenaria +Gentianella azurea +Gentianella moorcroftiana +Gentianella pygmaea +Gentianopsis barbata +Gentianopsis barbata var. stenocalyx +Gentianopsis contorta +Gentianopsis paludosa +Gentianopsis paludosa var. ovatodeltoidea +Halenia elliptica +Halenia elliptica var. grandiflora +Jaeschkea canaliculata +Jaeschkea microsperma +Kuepferia damyonensis +Kuepferia decorata +Kuepferia doxiongshangensis +Kuepferia infelix +Kuepferia leucantha +Kuepferia otophora +Kuepferia otophoroides +Kuepferia sichitoensis +Lomatogoniopsis alpina +Lomatogoniopsis galeiformis +Lomatogoniopsis ovatifolia +Lomatogonium brachyantherum +Lomatogonium carinthiacum +Lomatogonium chumbicum +Lomatogonium gamosepalum +Lomatogonium lloydioides +Lomatogonium longifolium +Lomatogonium macranthum +Lomatogonium micranthum +Lomatogonium oreocharis +Lomatogonium perenne +Lomatogonium rotatum +Lomatogonium sikkimense +Lomatogonium stapfii +Megacodon stylophorus +Pterygocalyx volubilis +Sebaea microphylla +Sinogentiana striata +Sinoswertia tetraptera +Swertia alata +Swertia assamensis +Swertia bifolia +Swertia bimaculata +Swertia chirayita +Swertia ciliata +Swertia cincta +Swertia conaensis +Swertia cordata +Swertia cuneata +Swertia cuneata var. asterocalyx +Swertia diluta +Swertia elata +Swertia franchetiana +Swertia grandiflora +Swertia gyacaensis +Swertia handeliana +Swertia hispidicalyx +Swertia hispidicalyx var. minima +Swertia hookeri +Swertia kingii +Swertia macrosperma +Swertia membranifolia +Swertia multicaulis +Swertia multicaulis var. umbellifera +Swertia mussotii +Swertia nervosa +Swertia paniculata +Swertia punicea +Swertia purpurascens +Swertia racemosa +Swertia rotundiglandula +Swertia scapiformis +Swertia speciosa +Swertia splendens +Swertia taylorii +Swertia tenuis +Swertia tibetica +Swertia verticillifolia +Swertia virescens +Swertia wardii +Swertia wardii var. rigida +Swertia wolfgangiana +Swertia younghusbandii +Swertia zayuensis +Tripterospermum fasciculatum +Tripterospermum volubile +Veratrilla baillonii +Veratrilla burkilliana +Gardneria angustifolia +Gardneria ovata +Strychnos axillaris +Strychnos wallichiana +Allamanda cathartica +Alstonia neriifolia +Alstonia scholaris +Alyxia fascicularis +Asclepias curassavica +Beaumontia grandiflora +Belostemma hirsutum +Biondia insignis +Biondia laxa +Biondia microcentra +Biondia revoluta +Calotropis gigantea +Calotropis procera +Catharanthus roseus +Ceropegia hookeri +Ceropegia jilongensis +Ceropegia longifolia +Ceropegia lucida +Ceropegia pubescens +Chonemorpha eriostylis +Chonemorpha fragrans +Chonemorpha griffithii +Chonemorpha verrucosa +Cryptolepis buchananii +Cryptolepis sinensis +Cynanchum acutum subsp. sibiricum +Cynanchum auriculatum +Cynanchum bungei +Cynanchum decipiens +Cynanchum otophyllum +Cynanchum szechuanense +Cynanchum thesioides +Cynanchum wallichii +Cynanchum wilfordii +Dischidia bengalensis +Dregea sinensis +Dregea yunnanensis +Genianthus bicoronatus +Gongronema napalense +Heterostemma alatum +Holarrhena pubescens +Hoya acuminata +Hoya arnottiana +Hoya chinghungensis +Hoya edeni +Hoya fusca +Hoya globulosa +Hoya linearis +Hoya lobbii +Hoya nyingchiensis +Hoya parasitica +Hoya pauciflora +Hoya polyneura +Hoya silvatica +Hoya thomsonii +Ichnocarpus frutescens +Kopsia fruticosa +Marsdenia koi +Marsdenia medogensis +Marsdenia oreophila +Marsdenia roylei +Marsdenia tinctoria +Marsdenia yarlungzangboensis +Melodinus cochinchinensis +Myriopteron extensum +Nerium oleander +Parameria polyneura +Pentasachme caudatum +Pentasachme wallichii +Periploca calophylla +Periploca calophylla var. mucronata +Periploca forrestii +Periploca sepium +Plumeria rubra +Pottsia laxiflora +Rauvolfia serpentina +Rauvolfia verticillata +Tabernaemontana divaricata +Thevetia peruviana +Toxocarpus himalensis +Trachelospermum asiaticum +Trachelospermum axillare +Trachelospermum bodinieri +Trachelospermum brevistylum +Trachelospermum jasminoides +Trachelospermum lucidum +Treutlera insignis +Tylophora koi +Tylophora longifolia +Tylophora ovata +Tylophora silvestris +Urceola micrantha +Vallaris solanacea +Vincetoxicum canescens +Vincetoxicum exile +Vincetoxicum forrestii +Vincetoxicum himalaicum +Vincetoxicum inamoenum +Willughbeia edulis +Wrightia arborea +Wrightia coccinea +Actinocarya acaulis +Actinocarya tibetica +Anchusa ovata +Arnebia euchroma +Arnebia guttata +Asperugo procumbens +Bothriospermum zeylanicum +Carmona microphylla +Chionocharis hookeri +Cordia dichotoma +Cynoglossum amabile +Cynoglossum furcatum +Cynoglossum lanceolatum +Cynoglossum schlagintweitii +Cynoglossum wallichii +Cynoglossum wallichii var. glochidiatum +Ehretia acuminata +Ehretia dicksonii +Ehretia laevis +Ehretia macrophylla var. glabrescens +Ehretia wallichiana +Eritrichium axilliflorum +Eritrichium canum +Eritrichium echinocaryum +Eritrichium fruticulosum +Eritrichium hemisphaericum +Eritrichium humillimum +Eritrichium laxum +Eritrichium lianyongshanii +Eritrichium longifolium +Eritrichium medicarpum +Eritrichium minimum +Eritrichium pectinatociliatum +Eritrichium petiolare +Eritrichium petiolare var. subturbinatum +Eritrichium qofengense +Eritrichium sinomicrocarpum +Eritrichium spathulatum +Eritrichium tangkulaense +Eritrichium thymifolium +Eritrichium thymifolium subsp. latialatum +Eritrichium wangwencaii +Euploca strigosa +Hackelia brachytuba +Hackelia difformis +Hackelia uncinata +Heliotropium indicum +Lappula caespitosa +Lappula himalayensis +Lappula microcarpa +Lappula myosotis +Lappula patula +Lappula redowskii +Lappula semiglabra +Lappula stricta +Lappula tadshikorum +Lasiocaryum densiflorum +Lasiocaryum munroi +Lasiocaryum trichocarpum +Lindelofia stylosa +Maharanga bicolor +Maharanga emodi +Mattiastrum himalayense +Microcaryum pygmaeum +Microula bhutanica +Microula ciliaris +Microula diffusa +Microula floribunda +Microula hispidissima +Microula involucriformis +Microula jilongensis +Microula leucantha +Microula longituba +Microula ovalifolia +Microula ovalifolia var. pubiflora +Microula pseudotrichocarpa +Microula pseudotrichocarpa var. grandiflora +Microula pustulosa +Microula pustulosa var. setulosa +Microula rockii +Microula sikkimensis +Microula stenophylla +Microula tangutica +Microula tibetica +Microula tibetica var. laevis +Microula tibetica var. pratensis +Microula younghusbandii +Onosma adenopus +Onosma bracteata +Onosma glomeratum +Onosma hookeri +Onosma hookeri var. hirsutum +Onosma hookeri var. longiflorum +Onosma lhokaensis +Onosma maaikangense +Onosma multiramosum +Onosma nangqenense +Onosma paniculatum +Onosma waddellii +Onosma waddellii f. latifolium +Onosma waltonii +Onosma wardii +Onosma zayuense +Rotula aquatica +Symphytum officinale +Tournefortia montana +Tournefortia ovata +Trichodesma khasianum +Trigonotis bracteata +Trigonotis cinereifolia +Trigonotis dingjieensis +Trigonotis gracilipes +Trigonotis heliotropifolia +Trigonotis microcarpa +Trigonotis motuoensis +Trigonotis peduncularis +Trigonotis peduncularis var. macrantha +Trigonotis rockii +Trigonotis rotundifolia +Trigonotis tibetica +Argyreia argentea +Argyreia capitiformis +Argyreia nervosa +Argyreia roxburghii +Argyreia sikkimensis +Argyreia splendens +Calystegia hederacea +Convolvulus arvensis +Cuscuta approximata +Cuscuta australis +Cuscuta chinensis +Cuscuta europaea +Cuscuta gigantea +Cuscuta japonica +Cuscuta macrolepis +Cuscuta reflexa +Decalobanthus mammosus +Dinetus grandiflorus +Dinetus racemosus +Erycibe paniculata +Erycibe subspicata +Ipomoea alba +Ipomoea aquatica +Ipomoea batatas +Ipomoea biflora +Ipomoea hirtifolia +Ipomoea mauritiana +Ipomoea nil +Ipomoea purpurea +Merremia hederacea +Merremia hirta +Merremia hungaiensis +Merremia sibirica +Merremia umbellata subsp. orientalis +Merremia vitifolia +Poranopsis paniculata +Rivea ornata +Anisodus luridus +Anisodus tanguticus +Capsicum annuum +Cyphomandra betacea +Datura stramonium +Hyoscyamus niger +Hyoscyamus pusillus +Lycianthes biflora +Lycianthes laevis +Lycianthes lysimachioides +Lycianthes macrodon +Lycianthes tibetica +Lycium amarum +Lycium barbarum +Lycium chinense +Mandragora caulescens +Nicandra physalodes +Nicotiana plumbaginifolia +Nicotiana rustica +Nicotiana tabacum +Physalis halicacabum +Physalis minima +Physalis peruviana +Physochlaina macrocalyx +Physochlaina praealta +Przewalskia tangutica +Solanum aculeatissimum +Solanum americanum +Solanum anguivi +Solanum capsicoides +Solanum dulcamara +Solanum erianthum +Solanum lasiocarpum +Solanum lycopersicum +Solanum lyratum +Solanum melongena +Solanum muricatum +Solanum nigrum +Solanum pittosporifolium +Solanum pseudocapsicum +Solanum scabrum +Solanum septemlobum +Solanum sisymbriifolium +Solanum spirale +Solanum torvum +Solanum tuberosum +Solanum viarum +Solanum villosum +Solanum violaceum +Tubocapsicum anomalum +Hydrolea zeylanica +Carlemannia griffithii +Carlemannia tetragona +Silvianthus bracteatus +Chionanthus hainanensis +Chionanthus mala-elengi subsp. terniflorus +Chionanthus ramiflorus +Chrysojasminum floridum +Chrysojasminum humile +Chrysojasminum humile var. microphyllum +Forsythia suspensa +Fraxinus ferruginea +Fraxinus floribunda +Fraxinus griffithii +Fraxinus paxiana +Fraxinus sikkimensis +Fraxinus xanthoxyloides +Jasminum × stephanense +Jasminum adenophyllum +Jasminum azoricum +Jasminum caudatum +Jasminum dispermum +Jasminum elongatum +Jasminum grandiflorum +Jasminum lanceolaria +Jasminum laurifolium +Jasminum listeri +Jasminum multiflorum +Jasminum nepalense +Jasminum nervosum +Jasminum nudiflorum +Jasminum nudiflorum var. pulvinatum +Jasminum officinale +Jasminum officinale var. piliferum +Jasminum officinale var. tibeticum +Jasminum sambac +Jasminum subglandulosum +Jasminum tonkinense +Ligustrum compactum +Ligustrum confusum +Ligustrum confusum var. macrocarpum +Ligustrum expansum +Ligustrum lucidum +Ligustrum myrsinites +Ligustrum nepalense +Ligustrum obtusifolium +Ligustrum quihoui +Ligustrum sinense +Ligustrum sinense var. rugosulum +Myxopyrum smilacifolium +Nyctanthes arbor-tristis +Olea dioica +Olea europaea +Osmanthus fragrans +Osmanthus henryi +Osmanthus suavis +Osmanthus yunnanensis +Syringa emodi +Syringa pinetorum +Syringa sweginzowii +Syringa tomentella +Syringa tomentella subsp. yunnanensis +Syringa vulgaris +Syringa yunnanensis +Tetrapilus gamblei +Aeschynanthus acuminatus +Aeschynanthus angustioblongus +Aeschynanthus angustissimus +Aeschynanthus bracteatus +Aeschynanthus denticuliger +Aeschynanthus dolichanthus +Aeschynanthus gracilis +Aeschynanthus hookeri +Aeschynanthus lasiocalyx +Aeschynanthus linearifolius +Aeschynanthus maculatus +Aeschynanthus medogensis +Aeschynanthus micranthus +Aeschynanthus mimetes +Aeschynanthus monetaria +Aeschynanthus parasiticus +Aeschynanthus parviflorus +Aeschynanthus stenosepalus +Aeschynanthus superbus +Beccarinda cordifolia +Boeica arunachalensis +Boeica clarkei +Boeica filiformis +Boeica fulva +Corallodiscus conchifolius +Corallodiscus kingianus +Corallodiscus lanuginosus +Didymocarpus albicalyx +Didymocarpus aromaticus +Didymocarpus medogensis +Didymocarpus moellerii +Didymocarpus oblongus +Didymocarpus pedicellatus +Didymocarpus primulifolius +Didymocarpus pulcher +Didymocarpus villosus +Didymocarpus zhufengensis +Epithema carnosum +Hemiboea subcapitata +Henckelia adenocalyx +Henckelia anachoreta +Henckelia arupii +Henckelia bifolia +Henckelia connata +Henckelia dasii +Henckelia dibangensis +Henckelia dimidiata +Henckelia hookeri +Henckelia infundibuliformis +Henckelia lachenensis +Henckelia lallanii +Henckelia medogensis +Henckelia mishmiensis +Henckelia oblongifolia +Henckelia pathakii +Henckelia primulacea +Henckelia pumila +Henckelia siangensis +Henckelia urticifolia +Kaisupeea herbacea +Leptoboea multiflora +Loxostigma griffithii +Loxostigma kurzii +Lysionotus atropurpureus +Lysionotus chatungii +Lysionotus gamosepalus +Lysionotus gracilis +Lysionotus levipes +Lysionotus metuoensis +Lysionotus metuoensis subsp. arunachalensis +Lysionotus palinensis +Lysionotus pubescens +Lysionotus serratus +Lysionotus ziroensis +Oreocharis billburttii +Oreocharis delavayi +Oreocharis muscicola +Platystemma violoides +Rhynchoglossum lazulinum +Rhynchoglossum obliquum +Rhynchotechum calycinum +Rhynchotechum ellipticum +Rhynchotechum nirijuliense +Rhynchotechum obovatum +Rhynchotechum parviflorum +Rhynchotechum vestitum +Stauranthera umbrosa +Tetraphylloides bengalensis +Whytockia arunachalensis +Adenosma indiana +Callitriche fehmedianii +Callitriche glareosa +Callitriche palustris +Dopatrium junceum +Ellisiophyllum pinnatum +Hemiphragma heterophyllum +Hippuris vulgaris +Lagotis alutacea +Lagotis brachystachya +Lagotis brevituba +Lagotis chumbica +Lagotis clarkei +Lagotis crassifolia +Lagotis decumbens +Lagotis humilis +Lagotis integra +Lagotis kongboensis +Lagotis macrosiphon +Lagotis pharica +Lagotis praecox +Lagotis ramalana +Lagotis yunnanensis +Limnophila chinensis +Limnophila connata +Limnophila indica +Limnophila repens +Limnophila sessiliflora +Linaria thibetica +Neopicrorhiza scrophulariiflora +Plantago asiatica +Plantago asiatica subsp. densiflora +Plantago asiatica subsp. erosa +Plantago depressa +Plantago griffithii +Plantago himalaica +Plantago major +Pseudolysimachion linariifolium subsp. dilatatum +Scoparia dulcis +Veronica alpina subsp. pumila +Veronica anagallis-aquatica +Veronica beccabunga subsp. muscosa +Veronica biloba +Veronica cana +Veronica chayuensis +Veronica ciliata +Veronica ciliata subsp. cephaloides +Veronica ciliata subsp. zhongdianensis +Veronica deltigera +Veronica eriogyne +Veronica himalensis +Veronica javanica +Veronica lanuginosa +Veronica longipetiolata +Veronica oxycarpa +Veronica persica +Veronica polita +Veronica rockii +Veronica serpyllifolia +Veronica szechuanica +Veronica szechuanica subsp. sikkimensis +Veronica tibetica +Veronica vandellioides +Veronica yunnanensis +Veronicastrum brunonianum +Buddleja × griffithii +Buddleja alternifolia +Buddleja asiatica +Buddleja candida +Buddleja colvilei +Buddleja crispa +Buddleja davidii +Buddleja delavayi +Buddleja fallowiana +Buddleja forrestii +Buddleja griffithii +Buddleja macrostachya +Buddleja myriantha +Buddleja officinalis +Buddleja paniculata +Buddleja tsetangensis +Buddleja wardii +Limosella aquatica +Scrophularia chasmophila subsp. xizangensis +Scrophularia dentata +Scrophularia elatior +Scrophularia incisa +Scrophularia lhasaensis +Scrophularia mandarinorum +Scrophularia pauciflora +Scrophularia przewalskii +Scrophularia souliei +Scrophularia urticifolia +Scrophularia wattii +Verbascum blattaria +Verbascum thapsus +Bonnaya ruelloides +Lindernia anagallis +Lindernia antipoda +Lindernia ciliata +Lindernia crustacea +Lindernia mollis +Lindernia nummulariifolia +Lindernia procumbens +Lindernia pusilla +Lindernia ruellioides +Lindernia viscosa +Torenia asiatica +Torenia diffusa +Torenia violacea +Sesamum indicum +Acanthus leucostachyus +Andrographis laxiflora +Asystasia neesiana +Barleria cristata +Codonacanthus pauciflorus +Cystacanthus affinis +Cystacanthus vitellinus +Dicliptera bupleuroides +Ecbolium ligustrinum +Eranthemum pulchellum +Eranthemum tubiflorum +Hygrophila erecta +Hygrophila phlomoides +Hygrophila polysperma +Hygrophila ringens +Hypoestes triflora +Isoglossa collina +Justicia adhatoda +Justicia gendarussa +Justicia procumbens +Justicia quinqueangularis +Justicia simplex +Justicia vasculosa +Justicia virgata +Lepidagathis incurva +Mackaya indica +Nelsonia canescens +Peristrophe bivalvis +Peristrophe fera +Peristrophe japonica +Peristrophe speciosa +Phaulopsis dorsiflora +Phialacanthus griffithii +Phlogacanthus curviflorus +Phlogacanthus gomezii +Phlogacanthus gracilis +Phlogacanthus guttatus +Phlogacanthus parviflorus +Phlogacanthus thyrsiformis +Phlogacanthus tubiflorus +Phlogacanthus vitellinus +Phlogacanthus yangtsekiangensis +Pseuderanthemum arunachalense +Pseuderanthemum latifolium +Pseuderanthemum leptanthus +Pseuderanthemum polyanthum +Rhinacanthus calcaratus +Rhinacanthus grandiflorus +Rungia burmanica +Rungia latior +Rungia pectinata +Rungia repens +Rungia stolonifera +Sphinctacanthus griffithii +Staurogyne arunachalensis +Staurogyne humilis +Staurogyne spatulata +Strobilanthes affinis +Strobilanthes atropurpurea +Strobilanthes attenuata +Strobilanthes auriculata +Strobilanthes capitata +Strobilanthes cruciata +Strobilanthes cuneata +Strobilanthes cusia +Strobilanthes cyphantha +Strobilanthes dimorphotricha +Strobilanthes discolor +Strobilanthes divaricata +Strobilanthes echinata +Strobilanthes elongata +Strobilanthes extensa +Strobilanthes fimbriata +Strobilanthes forrestii +Strobilanthes glabrata +Strobilanthes glomerata +Strobilanthes glutinosa +Strobilanthes hamiltoniana +Strobilanthes helicta +Strobilanthes inflata +Strobilanthes inflata var. aenobarba +Strobilanthes kingdonii +Strobilanthes lachenensis +Strobilanthes lamiifolia +Strobilanthes maculata +Strobilanthes mastersii +Strobilanthes medogensis +Strobilanthes multidens +Strobilanthes nobilis +Strobilanthes oligocephala +Strobilanthes oresbia +Strobilanthes oxycalycina +Strobilanthes paniculiformis +Strobilanthes parvifolia +Strobilanthes pentastemonoides +Strobilanthes pterygorrhachis +Strobilanthes pubiflora +Strobilanthes rhombifolia +Strobilanthes rubescens +Strobilanthes secunda +Strobilanthes simonsii +Strobilanthes sunhangii +Strobilanthes tamburensis +Strobilanthes tenax +Strobilanthes thomsonii +Strobilanthes tibetica +Strobilanthes tomentosa +Strobilanthes tubiflos +Strobilanthes twangensis +Strobilanthes urophylla +Strobilanthes versicolor +Strobilanthes yunnanensis +Thunbergia alata +Thunbergia coccinea +Thunbergia grandiflora +Catalpa bignonioides +Fernandoa adenophylla +Incarvillea altissima +Incarvillea arguta +Incarvillea beresowskii +Incarvillea compacta +Incarvillea delavayi +Incarvillea himalayensis +Incarvillea lutea +Incarvillea mairei +Incarvillea sinensis +Incarvillea uniflora +Incarvillea younghusbandii +Incarvillea zhongdianensis +Mayodendron igneum +Oroxylum indicum +Radermachera gigantea +Radermachera glandulosa +Radermachera sinica +Radermachera yunnanensis +Stereospermum colais +Pinguicula alpina +Utricularia aurea +Utricularia australis +Utricularia bifida +Utricularia brachiata +Utricularia christopheri +Utricularia intermedia +Utricularia kumaonensis +Utricularia minor +Utricularia multicaulis +Utricularia salwinensis +Utricularia scandens subsp. firmula +Utricularia striatula +Utricularia vulgaris +Duranta erecta +Lantana camara +Lantana indica +Lippia alba +Lippia javanica +Phyla nodiflora +Stachytarpheta jamaicensis +Verbena officinalis +Achyrospermum densiflorum +Achyrospermum wallichianum +Agastache rugosa +Ajuga bracteosa +Ajuga campylantha +Ajuga decumbens +Ajuga forrestii +Ajuga lobata +Ajuga lupulina +Ajuga macrosperma +Ajuga nipponensis +Ajuga nubigena +Ajuga ovalifolia +Ajuga ovalifolia var. calantha +Ajuga sciaphila +Amethystea caerulea +Anisomeles indica +Callicarpa arborea +Callicarpa bodinieri +Callicarpa lobata +Callicarpa longifolia +Callicarpa macrophylla +Callicarpa pararubella +Callicarpa rubella +Callicarpa vestita +Caryopteris forrestii +Caryopteris minor +Caryopteris tangutica +Caryopteris trichosphaera +Chelonopsis souliei +Clerodendrum bracteatum +Clerodendrum chinense +Clerodendrum colebrookianum +Clerodendrum griffithianum +Clerodendrum hastatum +Clerodendrum indicum +Clerodendrum infortunatum +Clerodendrum japonicum +Clerodendrum panigrahianum +Clerodendrum tibetanum +Clerodendrum villosum +Clerodendrum wallichii +Clinopodium chinense +Clinopodium discolor +Clinopodium gracile +Clinopodium megalanthum +Clinopodium nepalense +Clinopodium piperitum +Clinopodium polycephalum +Clinopodium repens +Clinopodium umbrosum +Clinopodium wardii +Coleus forskohlii +Coleus polystachyus +Coleus strobilifer +Colquhounia coccinea +Colquhounia coccinea var. mollis +Colquhounia vestita +Craniotome furcata +Dracocephalum argunense +Dracocephalum bipinnatum +Dracocephalum breviflorum +Dracocephalum bullatum +Dracocephalum calophyllum +Dracocephalum heterophyllum +Dracocephalum hookeri +Dracocephalum propinquum +Dracocephalum tanguticum +Dracocephalum tanguticum var. nanum +Dracocephalum truncatum +Dracocephalum wallichii +Dracocephalum wallichii var. platyanthum +Dracocephalum wallichii var. proliferum +Elsholtzia blanda +Elsholtzia capituligera +Elsholtzia cephalantha +Elsholtzia ciliata +Elsholtzia cyprianii +Elsholtzia cyprianii var. longipilosa +Elsholtzia densa +Elsholtzia eriostachya +Elsholtzia feddei +Elsholtzia fruticosa +Elsholtzia myosurus +Elsholtzia ochroleuca +Elsholtzia pilosa +Elsholtzia souliei +Elsholtzia stachyodes +Elsholtzia stauntonii +Elsholtzia strobilifera +Eriophyton sunhangii +Eriophyton tuberosum +Eriophyton wallichii +Galeopsis bifida +Gmelina arborea +Gomphostemma aborensis +Gomphostemma lucidum +Gomphostemma niveum +Gomphostemma ovatum +Gomphostemma parviflorum +Gomphostemma parviflorum var. farinosum +Gomphostemma stellatohirsutum +Gomphostemma thomsonii +Holmskioldia sanguinea +Isodon atroruber +Isodon aurantiacus +Isodon coetsa +Isodon grandifolius var. atuntzeensis +Isodon hispidus +Isodon lophanthoides +Isodon lophanthoides var. graciliflorus +Isodon loxothyrsus +Isodon oresbius +Isodon parvifolius +Isodon pharicus +Isodon pleiophyllus +Isodon pulchokiensis +Isodon repens +Isodon rubescens +Isodon rugosus +Isodon scoparius +Isodon scrophularioides +Isodon sculponeatus +Isodon silvaticus +Isodon smithianus +Isodon ternifolius +Isodon walkeri +Isodon wardii +Isodon weisiensis +Lagopsis eriostachya +Lagopsis flava +Lagopsis supina +Lamium amplexicaule +Lamium barbatum +Lamium gilongensis +Leonurus japonicus +Leonurus pseudomacranthus +Leonurus urticifolius +Leonurus villosissimus +Leucas ciliata +Leucas lavandulifolia +Leucas mollissima +Leucosceptrum canum +Lophanthus tibeticus +Lycopus lucidus var. hirtus +Marmoritis complanata +Marmoritis decolorans +Marmoritis nivalis +Marmoritis pharica +Marmoritis rotundifolia +Melissa axillaris +Melissa flava +Melissa yunnanensis +Mentha asiatica +Mentha canadensis +Mentha longifolia +Mentha spicata +Micromeria biflora +Microtoena delavayi +Microtoena wardii +Mosla cavaleriei +Mosla dianthera +Nepeta coerulescens +Nepeta densiflora +Nepeta dentata +Nepeta discolor +Nepeta floccosa +Nepeta hemsleyana +Nepeta jomdaensis +Nepeta laevigata +Nepeta lamiopsis +Nepeta leucolaena +Nepeta longibracteata +Nepeta membranifolia +Nepeta prattii +Nepeta raphanorhiza +Nepeta souliei +Nepeta stewartiana +Nepeta supina +Nepeta tenuiflora +Nepeta wilsonii +Nepeta yanthina +Nepeta zandaensis +Ocimum basilicum +Origanum vulgare +Orthosiphon incurvus +Orthosiphon wattii +Paralamium griffithii +Perilla frutescens +Perilla frutescens var. purpurascens +Phlomis nyalamensis +Phlomoides betonicoides +Phlomoides congesta +Phlomoides cuneata +Phlomoides fimbriata +Phlomoides hamosa +Phlomoides longiaristata +Phlomoides macrophylla +Phlomoides medicinalis +Phlomoides melanantha +Phlomoides milingensis +Phlomoides pygmaea +Phlomoides rotata +Phlomoides setifera +Phlomoides tibetica +Phlomoides tibetica var. wardii +Phlomoides tuberosa +Phlomoides umbrosa var. australis +Phlomoides younghushandii +Platostoma coloratum +Platostoma hispidum +Plectranthus rotundifolius +Pogostemon amaranthoides +Pogostemon auricularius +Pogostemon benghalensis +Pogostemon brachystachyus +Pogostemon dielsianus +Pogostemon elsholtzioides +Pogostemon glaber +Pogostemon linearis +Pogostemon menthoides +Pogostemon parviflorus +Pogostemon tuberculosus +Pogostemon villosus +Premna barbata +Premna bengalensis +Premna bracteata +Premna coriacea +Premna herbacea +Premna interrupta +Premna milleflora +Premna mollissima +Premna oligantha +Premna scandens +Premna serratifolia +Prunella hispida +Prunella vulgaris +Pseudocaryopteris bicolor +Pseudocaryopteris paniculata +Rotheca serrata +Rubiteucris palmata +Salvia bifidocalyx +Salvia bulleyana +Salvia campanulata +Salvia campanulata var. hirtella +Salvia castanea +Salvia chuanxiensis +Salvia evansiana +Salvia farinacea +Salvia hylocharis +Salvia maximowicziana +Salvia mekongensis +Salvia prattii +Salvia przewalskii +Salvia przewalskii var. glabrescens +Salvia przewalskii var. mandarinorum +Salvia roborowskii +Salvia sikkimensis +Salvia sikkimensis var. chaenocalyx +Salvia subviolacea +Salvia tricuspis +Salvia trijuga +Salvia wardii +Schizonepeta annua +Scutellaria discolor +Scutellaria forrestii +Scutellaria kingiana +Scutellaria scandens +Scutellaria violacea +Siphocranion macranthum +Sphenodesme pentandra var. wallichiana +Stachys kouyangensis +Stachys kouyangensis var. franchetiana +Stachys melissifolia +Stachys sieboldii +Tectona grandis +Teucrium grandifolium +Teucrium quadrifarium +Teucrium veronicoides +Teucrium viscidum +Teucrium wattii +Thymus altaicus +Thymus linearis +Thymus quinquecostatus +Vitex altissima +Vitex burmensis +Vitex glabrata +Vitex negundo +Vitex peduncularis +Vitex pinnata +Vitex quinata +Vitex quinata var. puberula +Vuhuangia flava +Lancea hirsuta +Lancea tibetica +Mazus celsioides +Mazus dentatus +Mazus lecomtei +Mazus pumilus +Mazus pumilus var. macrocalyx +Mazus surculosus +Erythranthe bracteosa +Erythranthe nepalensis +Erythranthe procera +Erythranthe tenella +Erythranthe tibetica +Microcarpaea minima +Phryma leptostachya subsp. asiatica +Wightia speciosissima +Paulownia catalpifolia +Aeginetia acaulis +Alectra arvensis +Brandisia racemosa +Brandisia rosea var. flava +Centranthera cochinchinensis var. nepalensis +Centranthera grandiflora +Centranthera indica +Christisonia hookeri +Euphrasia chumbica +Euphrasia jaeschkei +Euphrasia melanosticta +Euphrasia pectinata +Euphrasia regelii +Euphrasia regelii subsp. kangtienensis +Lindenbergia grandiflora +Lindenbergia griffithii +Lindenbergia hookeri +Lindenbergia indica +Lindenbergia muraria +Mannagettaea hummelii +Orobanche alba +Orobanche alsatica +Orobanche cernua +Orobanche clarkei +Orobanche coerulescens +Orobanche sinensis +Orobanche solmsii +Pedicularis alaschanica +Pedicularis alaschanica subsp. tibetica +Pedicularis albiflora +Pedicularis altifrontalis +Pedicularis anas +Pedicularis anas var. tibetica +Pedicularis angustiloba +Pedicularis anomala +Pedicularis aschistorrhyncha +Pedicularis atroviridis +Pedicularis atuntsiensis +Pedicularis aurata +Pedicularis axillaris +Pedicularis bella +Pedicularis bella subsp. holophylla +Pedicularis bietii +Pedicularis bifida +Pedicularis bomiensis +Pedicularis brevilabris +Pedicularis cephalantha +Pedicularis cernua +Pedicularis cheilanthifolia +Pedicularis cheilanthifolia subsp. svenhedinii +Pedicularis chenocephala +Pedicularis chumbica +Pedicularis cinerascens +Pedicularis clarkei +Pedicularis columigera +Pedicularis comptoniifolia +Pedicularis confertiflora +Pedicularis cornigera +Pedicularis corydaloides +Pedicularis corymbifera +Pedicularis cranolopha +Pedicularis croizatiana +Pedicularis cryptantha +Pedicularis cryptantha subsp. erecta +Pedicularis cyathophylla +Pedicularis cyathophylloides +Pedicularis daltonii +Pedicularis davidii +Pedicularis densispica +Pedicularis densispica subsp. schneideri +Pedicularis densispica subsp. viridescens +Pedicularis dichotoma +Pedicularis diffusa +Pedicularis diffusa subsp. elatior +Pedicularis dolichocymba +Pedicularis duclouxii +Pedicularis dunniana +Pedicularis elliotii +Pedicularis elsholtzioides +Pedicularis elwesii +Pedicularis elwesii subsp. major +Pedicularis elwesii subsp. minor +Pedicularis excelsa +Pedicularis filiculiformis +Pedicularis fletcheri +Pedicularis flexuosa +Pedicularis floribunda +Pedicularis furfuracea +Pedicularis garckeana +Pedicularis glabrescens +Pedicularis globifera +Pedicularis gracilis +Pedicularis gracilis subsp. macrocarpa +Pedicularis gracilis subsp. sinensis +Pedicularis gracilis subsp. stricta +Pedicularis gracilituba +Pedicularis gyirongensis +Pedicularis henryi +Pedicularis heydei +Pedicularis inflexirostris +Pedicularis ingens +Pedicularis insignis +Pedicularis instar +Pedicularis integrifolia +Pedicularis integrifolia subsp. integerrima +Pedicularis kansuensis +Pedicularis kansuensis subsp. kokonorica +Pedicularis kansuensis subsp. villosa +Pedicularis kawaguchii +Pedicularis khoiyangii +Pedicularis kongboensis +Pedicularis kuruchuensis +Pedicularis lachnoglossa +Pedicularis latituba +Pedicularis lecomtei +Pedicularis lhasana +Pedicularis liguliflora +Pedicularis likiangensis +Pedicularis lineata +Pedicularis longicalyx +Pedicularis longiflora +Pedicularis longiflora var. tubiformis +Pedicularis longipes +Pedicularis longipetiolata +Pedicularis longistipitata +Pedicularis lutescens +Pedicularis lutescens subsp. longipetiolata +Pedicularis lutescens subsp. ramosa +Pedicularis lyrata +Pedicularis macrorhyncha +Pedicularis macrosiphon +Pedicularis mayana +Pedicularis megalantha +Pedicularis megalochila +Pedicularis megalochila var. ligulata +Pedicularis merrilliana +Pedicularis microcalyx +Pedicularis microchila +Pedicularis mollis +Pedicularis muscicola +Pedicularis muscoides +Pedicularis mychophila +Pedicularis nana +Pedicularis nepalensis +Pedicularis ningjuingensis +Pedicularis nyalamensis +Pedicularis nyingchiensis +Pedicularis odontophora +Pedicularis oederi +Pedicularis oederi subsp. branchyophylla +Pedicularis oederi var. angustiflora +Pedicularis oederi var. heteroglossa +Pedicularis oederi var. sinensis +Pedicularis oligantha +Pedicularis oliveriana +Pedicularis pantlingii +Pedicularis pectinatiformis +Pedicularis pheulpinii +Pedicularis pheulpinii subsp. chilienensis +Pedicularis pilostachya +Pedicularis plicata +Pedicularis plicata subsp. apiculata +Pedicularis polygaloides +Pedicularis porriginosa +Pedicularis praeruptorum +Pedicularis prainiana +Pedicularis przewalskii +Pedicularis przewalskii subsp. australis +Pedicularis przewalskii subsp. microphyton +Pedicularis pseudoingens +Pedicularis pseudomelampyriflora +Pedicularis pseudoversicolor +Pedicularis punctata +Pedicularis pygmaea +Pedicularis quxiangensis +Pedicularis ramosissima +Pedicularis regeliana +Pedicularis reptans +Pedicularis retingensis +Pedicularis rex +Pedicularis rex subsp. zayuensis +Pedicularis rhinanthoides +Pedicularis rhinanthoides subsp. labellata +Pedicularis rhinanthoides subsp. tibetica +Pedicularis rhizomatosa +Pedicularis rhodotricha +Pedicularis rhynchotricha +Pedicularis rigidescens +Pedicularis robusta +Pedicularis rotundifolia +Pedicularis roylei +Pedicularis roylei subsp. megalantha +Pedicularis roylei subsp. shawii +Pedicularis roylei var. brevigaleata +Pedicularis rudis +Pedicularis rupicola +Pedicularis schizorrhyncha +Pedicularis scolopax +Pedicularis scullyana +Pedicularis sherriffii +Pedicularis sima +Pedicularis siphonantha +Pedicularis siphonantha var. stictochila +Pedicularis sphaerantha +Pedicularis spicata +Pedicularis stenotheca +Pedicularis strobilacea +Pedicularis stylosa +Pedicularis subulatidens +Pedicularis sunkosiana +Pedicularis superba +Pedicularis szetschuanica +Pedicularis szetschuanica subsp. anastomosans +Pedicularis takpoensis +Pedicularis tantalorhyncha +Pedicularis tatsienensis +Pedicularis tayloriana +Pedicularis tenacifolia +Pedicularis tenera +Pedicularis tenuicaulis +Pedicularis ternata +Pedicularis thamnophila +Pedicularis tongolensis +Pedicularis trichoglossa +Pedicularis trichomata +Pedicularis tricolor +Pedicularis tsarungensis +Pedicularis verbenifolia +Pedicularis verticillata +Pedicularis vialii +Pedicularis wallichii +Pedicularis wardii +Pedicularis yarilaica +Pedicularis zayuensis +Phtheirospermum japonicum +Phtheirospermum tenuisectum +Siphonostegia chinensis +Sopubia trifida +Striga asiatica +Triphysaria chinensis +Xizangia bartschioides +Xylanche himalaica +Gomphandra tetrandra +Cardiopteris quinqueloba +Helwingia himalaica +Helwingia japonica +Ilex atrata +Ilex bioritsensis +Ilex crenata +Ilex cyrtura +Ilex delavayi +Ilex dicarpa +Ilex dipyrena +Ilex fargesii subsp. melanotricha +Ilex forrestii +Ilex fragilis +Ilex hookeri +Ilex intricata +Ilex kingiana +Ilex longecaudata +Ilex medogensis +Ilex micrococca +Ilex miguensis +Ilex nothofagifolia +Ilex odorata +Ilex perryana +Ilex rockii +Ilex rotunda subsp. excelsa +Ilex sikkimensis +Ilex szechwanensis +Ilex triflora +Ilex umbellulata +Ilex venulosa +Ilex yunnanensis +Adenophora capillaris subsp. leptosepala +Adenophora coelestis +Adenophora himalayana +Adenophora himalayana subsp. alpina +Adenophora jasionifolia +Adenophora khasiana +Adenophora liliifolioides +Asyneuma chinense +Asyneuma fulgens +Campanula argyrotricha +Campanula aristata +Campanula cana +Campanula dimorphantha +Campanula glomeratoides +Campanula hongii +Campanula immodesta +Campanula latifolia +Campanula microphylloidea +Campanula nakaoi +Campanula pallida +Campanula punctata +Campanula rotata +Campanula sylvatica +Codonopsis affinis +Codonopsis alpina +Codonopsis benthamii +Codonopsis bhutanica +Codonopsis bomiensis +Codonopsis bulleyana +Codonopsis campanulata +Codonopsis canescens +Codonopsis foetens +Codonopsis foetens subsp. nervosa +Codonopsis gracilis +Codonopsis hongii +Codonopsis inflata +Codonopsis javanica +Codonopsis pilosula subsp. handeliana +Codonopsis rotundifolia +Codonopsis subglobosa +Codonopsis subsimplex +Codonopsis thalictrifolia +Codonopsis thalictrifolia subsp. mollis +Codonopsis tubulosa subsp. vadsea +Codonopsis viridiflora +Codonopsis viridis +Cyananthus cordifolius +Cyananthus delavayi +Cyananthus hookeri +Cyananthus incanus +Cyananthus inflatus +Cyananthus lichiangensis +Cyananthus ligulosus +Cyananthus lobatus +Cyananthus macrocalyx +Cyananthus microphyllus +Cyananthus pedunculatus +Cyananthus sericeus +Cyananthus sherriffii +Cyananthus wardii +Cyclocodon celebicus +Cyclocodon lancifolius +Cyclocodon parviflorus +Himalacodon dicentrifolius +Lobelia alsinoides +Lobelia doniana +Lobelia erectiuscula +Lobelia montana +Lobelia nummularia +Lobelia pleotricha +Lobelia pyramidalis +Lobelia rosea +Lobelia zeylanica +Pankycodon purpureus +Peracarpa carnosa +Pseudocodon convolvulaceus +Pseudocodon graminifolius +Pseudocodon grey-wilsonii +Pseudocodon vinciflorus +Pseudocodon vinciflorus subsp. dianchuanicus +Menyanthes trifoliata +Nymphoides peltata +Acilepis aspera +Acilepis attenuata +Acilepis saligna +Acmella calva +Acmella ciliata +Acmella oleracea +Acmella paniculata +Adenocaulon himalaicum +Adenostemma lavenia +Adenostemma lavenia var. latifolium +Ageratina adenophora +Ageratum conyzoides +Ageratum houstonianum +Ainsliaea angustifolia +Ainsliaea aptera +Ainsliaea foliosa +Ainsliaea fulvipes +Ainsliaea henryi +Ainsliaea latifolia +Ainsliaea reflexa +Ainsliaea spicata +Ainsliaea yunnanensis +Ajania brachyantha +Ajania fastigiata +Ajania fruticulosa +Ajania gracilis +Ajania khartensis +Ajania myriantha +Ajania nitida +Ajania nubigena +Ajania penicilliformis +Ajania przewalskii +Ajania purpurea +Ajania ramosa +Ajania scharnhorstii +Ajania tenuifolia +Ajania tibetica +Ajania trilobata +Allardia glabra +Allardia huegelii +Allardia lasiocarpa +Allardia nivea +Allardia stoliczkae +Allardia tomentosa +Allardia vestita +Ambrosia artemisiifolia +Anaphalis acutifolia +Anaphalis aureopunctata +Anaphalis aureopunctata var. atrata +Anaphalis aureopunctata var. tomentosa +Anaphalis bicolor +Anaphalis bicolor var. subconcolor +Anaphalis bicolor var. undulata +Anaphalis busua +Anaphalis cavei +Anaphalis contorta +Anaphalis contortiformis +Anaphalis delavayi +Anaphalis deserti +Anaphalis flavescens +Anaphalis hancockii +Anaphalis hondae +Anaphalis larium +Anaphalis latialata +Anaphalis margaritacea +Anaphalis margaritacea var. angustifolia +Anaphalis margaritacea var. cinnamomea +Anaphalis nepalensis +Anaphalis nepalensis var. corymbosa +Anaphalis nepalensis var. monocephala +Anaphalis oxyphylla +Anaphalis pannosa +Anaphalis plicata +Anaphalis porphyrolepis +Anaphalis rhododactyla +Anaphalis royleana +Anaphalis souliei +Anaphalis spodiophylla +Anaphalis stenocephala +Anaphalis tibetica +Anaphalis triplinervis +Anaphalis virens +Anaphalis viridis +Anaphalis xylorhiza +Anaphalis yangii +Arctium lappa +Artemisia annua +Artemisia baxoiensis +Artemisia calophylla +Artemisia campbellii +Artemisia comaiensis +Artemisia dalai-lamae +Artemisia demissa +Artemisia desertorum +Artemisia desertorum var. foetida +Artemisia desertorum var. tongolensis +Artemisia divaricata +Artemisia dubia +Artemisia dubia var. subdigitata +Artemisia duthreuil-de-rhinsi +Artemisia frigida +Artemisia gmelinii +Artemisia gmelinii var. incana +Artemisia gyangzeensis +Artemisia gyitangensis +Artemisia hedinii +Artemisia imponens +Artemisia indica +Artemisia japonica +Artemisia jilongensis +Artemisia lavandulifolia +Artemisia leucophylla +Artemisia lingyeouruennii +Artemisia macrocephala +Artemisia mattfeldii +Artemisia mattfeldii var. etomentosa +Artemisia minor +Artemisia mustangensis +Artemisia myriantha +Artemisia nanschanica +Artemisia nilagirica +Artemisia nortonii +Artemisia nujianensis +Artemisia occidentalisinensis +Artemisia occidentalisinensis var. denticulata +Artemisia orientalixizangensis +Artemisia parviflora +Artemisia persica +Artemisia pewzowii +Artemisia prattii +Artemisia pubescens +Artemisia roxburghiana +Artemisia scoparia +Artemisia sieversiana +Artemisia speciosa +Artemisia stechmanniana +Artemisia stracheyi +Artemisia stricta +Artemisia stricta var. diffusa +Artemisia succulentoides +Artemisia tafelii +Artemisia tainingensis +Artemisia tainingensis var. nitida +Artemisia tanacetifolia +Artemisia tangutica +Artemisia tangutica var. tomentosa +Artemisia thellungiana +Artemisia tridactyla +Artemisia velutina +Artemisia vestita +Artemisia vexans +Artemisia viscida +Artemisia viscidissima +Artemisia vulgaris +Artemisia vulgaris var. xizangensis +Artemisia wallichiana +Artemisia waltonii +Artemisia waltonii var. yushuensis +Artemisia wellbyi +Artemisia xigazeensis +Artemisia yadongensis +Artemisia younghusbandii +Artemisia youngii +Artemisia yunnanensis +Artemisia zayuensis +Askellia flexuosa +Askellia lactea +Askellia pygmaea +Aster ageratoides +Aster albescens +Aster albescens var. glabratus +Aster albescens var. glandulosus +Aster albescens var. gracilior +Aster albescens var. limprichtii +Aster albescens var. pilosus +Aster albescens var. salignus +Aster alpinus +Aster altaicus +Aster argyropholis +Aster asteroides +Aster auriculatus +Aster barbellatus +Aster batangensis +Aster bipinnatisectus +Aster boweri +Aster crenatifolius +Aster diplostephioides +Aster eligulatus +Aster farreri +Aster flaccidus +Aster flaccidus subsp. glandulosus +Aster fulgidulus +Aster fuscescens +Aster gouldii +Aster heliopsis +Aster hersileoides +Aster heterolepis +Aster himalaicus +Aster hololachnus +Aster hypoleucus +Aster indamellus +Aster ionoglossus +Aster latibracteatus +Aster likiangensis +Aster lingulatus +Aster molliusculus +Aster motuoensis +Aster neoelegans +Aster neolanuginosus +Aster oreophilus +Aster poliothamnus +Aster prainii +Aster pycnophyllus +Aster retusus +Aster salwinensis +Aster semiprostratus +Aster sikkimensis +Aster souliei +Aster stracheyi +Aster thomsonii +Aster tongolensis +Aster tricephalus +Aster trinervius +Aster tsarungensis +Aster verticillatus +Aster vestitus +Aster yunnanensis +Aster yunnanensis var. angustior +Aster yunnanensis var. labrangensis +Bellis perennis +Bidens alba +Bidens bipinnata +Bidens biternata +Bidens cernua +Bidens parviflora +Bidens pilosa +Bidens tripartita +Blumea aromatica +Blumea balsamifera +Blumea densiflora +Blumea fistulosa +Blumea flava +Blumea formosana +Blumea hamiltonii +Blumea hieraciifolia +Blumea lacera +Blumea lanceolaria +Blumea membranacea +Blumea repanda +Blumea riparia +Blumea sinuata +Bolocephalus saussureoides +Calendula officinalis +Callistephus chinensis +Carduus acanthoides +Carduus crispus +Carpesium abrotanoides +Carpesium cernuum +Carpesium cordatum +Carpesium divaricatum +Carpesium humile +Carpesium lipskyi +Carpesium nepalense +Carpesium nepalense var. lanatum +Carpesium scapiforme +Carpesium tracheliifolium +Carthamus tinctorius +Cavea tanguensis +Centaurea cyanus +Centipeda minima +Chromolaena odorata +Chrysanthemum morifolium +Cicerbita roborowskii +Cichorium intybus +Cirsium albicephalum +Cirsium argyracanthum +Cirsium arvense +Cirsium arvense var. alpestre +Cirsium arvense var. setosum +Cirsium eriophoroides +Cirsium handelii +Cirsium lipskyi +Cirsium nishiokae +Cirsium shansiense +Cirsium souliei +Cirsium subulariforme +Cirsium wallichii var. nepalensis +Cissampelopsis corifolia +Cissampelopsis volubilis +Conyza semipinnatifida +Cosmos bipinnatus +Cotula australis +Cotula hemisphaerica +Cousinia falconeri +Cousinia thomsonii +Crassocephalum crepidioides +Cremanthodium angustifolium +Cremanthodium arnicoides +Cremanthodium atrocapitatum +Cremanthodium bhutanicum +Cremanthodium bomiense +Cremanthodium brunneopilosum +Cremanthodium bulbilliferum +Cremanthodium bupleurifolium +Cremanthodium campanulatum +Cremanthodium conaense +Cremanthodium cordatum +Cremanthodium decaisnei +Cremanthodium discoideum +Cremanthodium ellisii +Cremanthodium ellisii var. ramosum +Cremanthodium farreri +Cremanthodium forrestii +Cremanthodium glandulipilosum +Cremanthodium glaucum +Cremanthodium helianthus +Cremanthodium humile +Cremanthodium indicum +Cremanthodium laciniatum +Cremanthodium lineare +Cremanthodium medogense +Cremanthodium microglossum +Cremanthodium microphyllum +Cremanthodium nanum +Cremanthodium nepalense +Cremanthodium nervosum +Cremanthodium nobile +Cremanthodium oblongatum +Cremanthodium obovatum +Cremanthodium palmatum +Cremanthodium petiolatum +Cremanthodium phyllodineum +Cremanthodium pinnatifidum +Cremanthodium pinnatisectum +Cremanthodium pseudo-oblongatum +Cremanthodium puberulum +Cremanthodium purpureifolium +Cremanthodium reniforme +Cremanthodium rhodocephalum +Cremanthodium smithianum +Cremanthodium stenactinium +Cremanthodium stenoglossum +Cremanthodium thomsonii +Cremanthodium trilobum +Cremanthodium variifolium +Cremanthodium yadongense +Crepidiastrum diversifolium +Crepidiastrum tenuifolium +Crepis bodinieri +Crepis elongata +Cyanthillium cinereum +Dahlia pinnata +Decaneuropsis blanda +Decaneuropsis gratiosa +Decaneuropsis vagans +Dichrocephala benthamii +Dichrocephala chrysanthemifolia +Dichrocephala integrifolia +Dolomiaea calophylla +Dolomiaea crispoundulata +Dolomiaea lateritia +Dolomiaea macrocephala +Dolomiaea salwinensis +Dolomiaea scabrida +Dolomiaea souliei +Dolomiaea souliei var. cinerea +Dolomiaea wardii +Doronicum briquetii +Doronicum falconeri +Doronicum kamaonense +Doronicum stenoglossum +Dubyaea atropurpurea +Dubyaea cymiformis +Dubyaea hispida +Dubyaea stebbinsii +Dubyaea tsarongensis +Duhaldea cappa +Duhaldea eupatorioides +Duhaldea nervosa +Duhaldea rubricaulis +Eclipta prostrata +Emilia scabra +Emilia sonchifolia +Epaltes australis +Erechtites valerianifolius +Erigeron acris +Erigeron acris subsp. politus +Erigeron annuus +Erigeron bonariensis +Erigeron breviscapus +Erigeron canadensis +Erigeron himalajensis +Erigeron kiukiangensis +Erigeron kunshanensis +Erigeron lanuginosus +Erigeron leucoglossus +Erigeron multifolius +Erigeron multiradiatus +Erigeron patentisquama +Erigeron porphyrolepis +Erigeron sublyratus +Erigeron sumatrensis +Erigeron trisulcus +Eschenbachia japonica +Eschenbachia leucantha +Ethulia conyzoides +Eupatorium cannabinum +Eupatorium chinense +Eupatorium heterophyllum +Gaillardia pulchella +Galinsoga parviflora +Galinsoga quadriradiata +Gamochaeta pensylvanica +Gamochaeta purpurea +Glossocardia bidens +Gnaphalium stewartii +Gnaphalium supinum +Gnomophalium pulvinatum +Grangea maderaspatana +Gynura bicolor +Gynura cusimbua +Gynura nepalensis +Gynura procumbens +Gynura pseudochina +Helianthus annuus +Helianthus tuberosus +Hemisteptia lyrata +Hieracium umbellatum +Himalaiella abnormis +Himalaiella auriculata +Himalaiella deltoidea +Himalaiella nivea +Himalaiella yakla +Hippolytia delavayi +Hippolytia glomerata +Hippolytia gossypina +Hippolytia kennedyi +Hippolytia senecionis +Hippolytia syncalathiformis +Hippolytia tomentosa +Hypochaeris glabra +Hypochaeris radicata +Indocypraea montana +Inula helenium +Inula hookeri +Inula kalapani +Inula obtusifolia +Inula racemosa +Ixeridium aculeolatum +Ixeridium gracile +Ixeris chinensis +Ixeris chinensis subsp. versicolor +Ixeris polycephala +Jacobaea ambracea +Jacobaea analoga +Jacobaea echaeta +Jacobaea nudicaulis +Jacobaea raphanifolia +Jacobaea tibetica +Khasianthus subsessilis +Klasea centauroides subsp. strangulata +Koelpinia linearis +Lactuca dissecta +Lactuca dolichophylla +Lactuca indica +Lactuca serriola +Lactuca tatarica +Laggera alata +Laggera crispata +Launaea acaulis +Leibnitzia anandria +Leibnitzia nepalensis +Leibnitzia pusilla +Leibnitzia ruficoma +Leontopodium andersonii +Leontopodium brachyactis +Leontopodium calocephalum +Leontopodium dedekensii +Leontopodium forrestianum +Leontopodium haastioides +Leontopodium haplophylloides +Leontopodium himalayanum +Leontopodium jacotianum +Leontopodium japonicum +Leontopodium junpeianum +Leontopodium lingianum +Leontopodium monocephalum +Leontopodium muscoides +Leontopodium nanum +Leontopodium ochroleucum +Leontopodium pusillum +Leontopodium sinense +Leontopodium souliei +Leontopodium stracheyi +Leontopodium suffruticosum +Ligularia amplexicaulis +Ligularia atkinsonii +Ligularia chimiliensis +Ligularia cremanthodioides +Ligularia cuneata +Ligularia cymbulifera +Ligularia dictyoneura +Ligularia discoidea +Ligularia dux +Ligularia dux var. minima +Ligularia fischeri +Ligularia hookeri +Ligularia japonica +Ligularia lagotis +Ligularia lamarum +Ligularia lancifera +Ligularia lapathifolia +Ligularia latiligulata +Ligularia lhunzensis +Ligularia liatroides +Ligularia melanocephala +Ligularia mortonii +Ligularia myriocephala +Ligularia nelumbifolia +Ligularia nyingchiensis +Ligularia petiolaris +Ligularia phaenicochaeta +Ligularia pleurocaulis +Ligularia przewalskii +Ligularia pseudolamarum +Ligularia pterodonta +Ligularia pubifolia +Ligularia purdomii +Ligularia retusa +Ligularia rumicifolia +Ligularia sagitta +Ligularia secunda +Ligularia stenoglossa +Ligularia tangutorum +Ligularia tenuicaulis +Ligularia tongkyukensis +Ligularia tongolensis +Ligularia tsangchanensis +Ligularia virgaurea +Ligularia virgaurea var. pilosa +Lihengia amoena +Lihengia gombalana +Lipschitziella ceratocarpa +Melanoseris atropurpurea +Melanoseris beesiana +Melanoseris bracteata +Melanoseris cyanea +Melanoseris graciliflora +Melanoseris jilongensis +Melanoseris macrantha +Melanoseris macrocephala +Melanoseris macrorhiza +Melanoseris pectiniformis +Melanoseris qinghaica +Melanoseris souliei +Melanoseris tenuis +Melanoseris violifolia +Melanoseris yunnanensis +Mikania micrantha +Monosis talaumifolia +Monosis volkameriifolia +Myriactis delavayi +Myriactis nepalensis +Myriactis wallichii +Myriactis wightii +Nabalus tatarinowii +Nannoglottis gynura +Nannoglottis hookeri +Nannoglottis macrocarpa +Neobrachyactis anomala +Neobrachyactis roylei +Neopallasia pectinata +Notoseris khasiana +Notoseris scandens +Notoseris yakoensis +Oreoseris maxima +Oreoseris nivea +Paraprenanthes sororia +Parasenecio chola +Parasenecio cyclotus +Parasenecio latipes +Parasenecio palmatisectus +Parasenecio quinquelobus +Parasenecio quinquelobus var. sinuatus +Parasenecio taliensis +Pertya berberidoides +Pertya markamensis +Pertya monocephala +Pertya phylicoides +Petasites japonicus +Petasites tricholobus +Petasites versipilus +Picris divaricata +Picris hieracioides +Picris japonica +Picris junnanensis +Piloselloides hirsuta +Pluchea linearifolia +Pseudognaphalium adnatum +Pseudognaphalium affine +Pseudognaphalium chrysocephalum +Pseudognaphalium flavescens +Pseudognaphalium hypoleucum +Pulicaria insignis +Rudbeckia hirta +Saussurea acutisquama +Saussurea andersonii +Saussurea andryaloides +Saussurea apus +Saussurea arenaria +Saussurea aster +Saussurea austrotibetica +Saussurea bella +Saussurea bhutanensis +Saussurea bhutkesh +Saussurea bodinieri +Saussurea bracteata +Saussurea brunneopilosa +Saussurea candolleana +Saussurea ceterach +Saussurea cochleariifolia +Saussurea colpodes +Saussurea columnaris +Saussurea conaensis +Saussurea coriacea +Saussurea delavayi +Saussurea depsangensis +Saussurea donkiah +Saussurea durgae +Saussurea dzeurensis +Saussurea epilobioides +Saussurea eriostemon +Saussurea erubescens +Saussurea filicifolia +Saussurea fuscipappa +Saussurea georgei +Saussurea glacialis +Saussurea glandulosissima +Saussurea globosa +Saussurea gnaphalodes +Saussurea gongriensis +Saussurea gossipiphora +Saussurea graminea +Saussurea graminea var. ortholepis +Saussurea graminifolia +Saussurea grandiceps +Saussurea gyacaensis +Saussurea gymnocephala +Saussurea hengduanshanensis +Saussurea hieracioides +Saussurea hookeri +Saussurea hylophila +Saussurea inversa +Saussurea irregularis +Saussurea jindongensis +Saussurea kansuensis +Saussurea katochaete +Saussurea kingii +Saussurea lanata +Saussurea laneana +Saussurea langpoensis +Saussurea laniceps +Saussurea leontodontoides +Saussurea leptolepis +Saussurea leucoma +Saussurea lhozhagensis +Saussurea lhunzensis +Saussurea lhunzhubensis +Saussurea linearifolia +Saussurea lingulata +Saussurea longifolia +Saussurea loriformis +Saussurea luae +Saussurea medusa +Saussurea megacephala +Saussurea micradenia +Saussurea minuta +Saussurea namikawae +Saussurea nana +Saussurea nigrescens +Saussurea nimborum +Saussurea nishiokae +Saussurea nyalamensis +Saussurea nyingchiensis +Saussurea ochrochlaena +Saussurea ovata +Saussurea ovatifolia +Saussurea pachyneura +Saussurea pagriensis +Saussurea paleacea +Saussurea parviflora +Saussurea paxiana +Saussurea phaeantha +Saussurea picridifolia +Saussurea pilinophylla +Saussurea polycolea +Saussurea polypodioides +Saussurea polystichoides +Saussurea populifolia +Saussurea przewalskii +Saussurea pseudoeriostemon +Saussurea pseudoleucoma +Saussurea pseudolingulata +Saussurea pseudosimpsoniana +Saussurea pseudotridactyla +Saussurea pseudoyunnanensis +Saussurea pubescens +Saussurea pubifolia +Saussurea pubifolia var. lhasaensis +Saussurea purpurascens +Saussurea qamdoensis +Saussurea quercifolia +Saussurea retroserrata +Saussurea rolwalingensis +Saussurea romuleifolia +Saussurea scabrida +Saussurea schlagintweitii +Saussurea schlagintweitii subsp. major +Saussurea semiamplexicaulis +Saussurea semifasciata +Saussurea semilyrata +Saussurea septentrionalis +Saussurea sericea +Saussurea sikkimensis +Saussurea simpsoniana +Saussurea solaris +Saussurea stella +Saussurea stoliczkae +Saussurea subulata +Saussurea subulisquama +Saussurea sugongii +Saussurea superba +Saussurea sylvatica +Saussurea tangutica +Saussurea taraxacifolia +Saussurea tatsienensis +Saussurea thomsonii +Saussurea thoroldii +Saussurea tibetica +Saussurea topkegolensis +Saussurea tridactyla +Saussurea tridactyla var. maiduoganla +Saussurea tsoongii +Saussurea uniflora +Saussurea wardii +Saussurea wellbyi +Saussurea wernerioides +Saussurea wettsteiniana +Saussurea woodiana +Saussurea yunnanensis +Saussurea zayuensis +Saussurea zogangensis +Senecio albopurpureus +Senecio atrofuscus +Senecio biligulatus +Senecio desfontainei +Senecio diversipinnus +Senecio drukensis +Senecio dubitabilis +Senecio graciliflorus +Senecio kongboensis +Senecio krascheninnikovii +Senecio lhasaensis +Senecio lingianus +Senecio linifolius +Senecio mishmi +Senecio nigrocinctus +Senecio nodiflorus +Senecio racemosus +Senecio ramosus +Senecio royleanus +Senecio saussureoides +Senecio scandens +Senecio scandens var. incisus +Senecio thianschanicus +Senecio vulgaris +Senecio wightii +Shangwua denticulata var. hypoleuca +Sigesbeckia glabrescens +Sigesbeckia orientalis +Sigesbeckia pubescens +Sinosenecio euosmus +Sinosenecio oldhamianus +Solidago virgaurea +Sonchus asper +Sonchus brachyotus +Sonchus oleraceus +Sonchus wightianus +Soroseris depressa +Soroseris erysimoides +Soroseris glomerata +Soroseris hookeriana +Soroseris pumila +Soroseris teres +Soroseris umbrella +Sphaeranthus indicus +Syncalathium chrysocephalum +Syncalathium disciforme +Syncalathium kawaguchii +Syncalathium porphyreum +Syncalathium roseum +Synotis acuminata +Synotis ainsliaeifolia +Synotis alata +Synotis auriculata +Synotis borii +Synotis brevipappa +Synotis cappa +Synotis chenopodiifolia +Synotis erythropappa +Synotis kunthiana +Synotis nagensium +Synotis nyalamensis +Synotis otophylla +Synotis penninervis +Synotis pentantha +Synotis rufinervis +Synotis saluenensis +Synotis solidaginea +Synotis tetrantha +Synotis triligulata +Synotis wallichii +Synotis yui +Tagetes erecta +Tagetes minuta +Tanacetum atkinsonii +Tanacetum tatsienense +Tanacetum tatsienense var. tanacetopsis +Taraxacum albiflos +Taraxacum apargiiforme +Taraxacum austrotibetanum +Taraxacum badiocinnamomeum +Taraxacum brevirostre +Taraxacum calanthodium +Taraxacum consanguineum +Taraxacum dealbatum +Taraxacum dilutissimum +Taraxacum dissectum +Taraxacum eriopodum +Taraxacum forrestii +Taraxacum glaucophyllum +Taraxacum grypodon +Taraxacum lanigerum +Taraxacum ludlowii +Taraxacum maurocarpum +Taraxacum mitalii +Taraxacum mongolicum +Taraxacum officinale +Taraxacum parvulum +Taraxacum patiens +Taraxacum scariosum +Taraxacum sherriffii +Taraxacum sikkimense +Taraxacum sinicum +Taraxacum staticifolium +Taraxacum stenoceras +Taraxacum subcontristans +Taraxacum suberiopodum +Taraxacum tibetanum +Taraxacum vendibile +Taraxacum wallichii +Tephroseris rufa +Tephroseris rufa var. chaetocarpa +Thespis divaricata +Tithonia diversifolia +Tithonia rotundifolia +Tragopogon dubius +Tragopogon gracilis +Tricholepis furcata +Tridax procumbens +Xanthium strumarium +Xanthopappus subacaulis +Youngia atripappa +Youngia cristata +Youngia erythrocarpa +Youngia gracilipes +Youngia japonica +Youngia lanata +Youngia paleacea +Youngia prattii +Youngia racemifera +Youngia sericea +Youngia silhetensis +Youngia simulatrix +Youngia yilingii +Zinnia elegans +Adoxa moschatellina +Adoxa xizangensis +Sambucus adnata +Sambucus javanica +Viburnum atrocyaneum +Viburnum betulifolium +Viburnum colebrookeanum +Viburnum congestum +Viburnum corylifolium +Viburnum cotinifolium +Viburnum cylindricum +Viburnum erubescens +Viburnum foetidum +Viburnum foetidum var. rectangulatum +Viburnum glomeratum +Viburnum grandiflorum +Viburnum kansuense +Viburnum mullaha +Viburnum mullaha var. glabrescens +Viburnum nervosum +Viburnum oliganthum +Viburnum sempervirens +Viburnum sympodiale +Viburnum tengyuehense +Abelia forrestii +Acanthocalyx alba +Acanthocalyx nepalensis +Acanthocalyx nepalensis subsp. delavayi +Bassecoia bretschneideri +Bassecoia hookeri +Dipelta yunnanensis +Dipsacus asper +Dipsacus atratus +Dipsacus chinensis +Dipsacus inermis +Leycesteria crocothyrsos +Leycesteria dibangvalliensis +Leycesteria formosa +Leycesteria glaucophylla +Leycesteria gracilis +Lonicera acuminata +Lonicera angustifolia +Lonicera angustifolia var. myrtillus +Lonicera calcarata +Lonicera chrysantha +Lonicera chrysantha var. koehneana +Lonicera cyanocarpa +Lonicera ferdinandi +Lonicera glabrata var. hirticaulis +Lonicera hispida +Lonicera hypoleuca +Lonicera ligustrina +Lonicera litangensis +Lonicera maackii +Lonicera macrantha +Lonicera microphylla +Lonicera nervosa +Lonicera nigra +Lonicera oreodoxa +Lonicera rupicola +Lonicera rupicola var. syringantha +Lonicera scabrida +Lonicera spinosa +Lonicera tangutica +Lonicera tomentella +Lonicera tomentella var. tsarongensis +Lonicera trichosantha +Lonicera webbiana +Morina chinensis +Morina chlorantha +Morina coulteriana +Morina kokonorica +Morina longifolia +Morina ludlowii +Morina polyphylla +Nardostachys jatamansi +Patrinia speciosa +Triosteum himalayanum +Triplostegia glandulifera +Triplostegia grandiflora +Valeriana barbulata +Valeriana daphniflora +Valeriana hardwickii +Valeriana hengduanensis +Valeriana hirticalyx +Valeriana jatamansi +Valeriana minutiflora +Valeriana officinalis +Valeriana sichuanica +Valeriana stenoptera +Valeriana tangutica +Zabelia dielsii +Zabelia triflora +Torricellia angulata +Torricellia tiliifolia +Pittosporum brevicalyx +Pittosporum heterophyllum +Pittosporum napaulense +Pittosporum podocarpum +Aralia apioides +Aralia armata +Aralia atropurpurea +Aralia chinensis +Aralia fargesii +Aralia foliolosa +Aralia franchetii +Aralia gigantea +Aralia kingdon-wardii +Aralia leschenaultii +Aralia parasitica +Aralia tibetana +Brassaiopsis aculeata +Brassaiopsis angustifolia +Brassaiopsis ciliata +Brassaiopsis fatsioides +Brassaiopsis glomerulata +Brassaiopsis griffithii +Brassaiopsis hainla +Brassaiopsis hispida +Brassaiopsis magnifica +Brassaiopsis shweliensis +Brassaiopsis simplicifolia +Brassaiopsis tibetana +Dendropanax burmanicus +Eleutherococcus cissifolius +Eleutherococcus giraldii +Eleutherococcus lasiogyne +Eleutherococcus leucorrhizus +Eleutherococcus leucorrhizus var. fulvescens +Eleutherococcus trifoliatus +Eleutherococcus verticillatus +Eleutherococcus wilsonii +Gamblea ciliata +Gamblea ciliata var. evodiifolia +Hedera nepalensis +Hedera nepalensis var. sinensis +Heptapleurum calyptratum +Heptapleurum ellipticum +Heptapleurum glabrescens +Heptapleurum heptaphyllum +Heptapleurum hoi +Heptapleurum hypoleucum +Heptapleurum khasianum +Heptapleurum minutistellatum +Heptapleurum rhododendrifolium +Heptapleurum shweliense +Heptapleurum wallichianum +Heptapleurum wardii +Heptapleurum zhuanum +Heteropanax fragrans +Hydrocotyle himalaica +Hydrocotyle hookeri +Hydrocotyle javanica +Hydrocotyle nepalensis +Hydrocotyle salwinica +Hydrocotyle sibthorpioides +Hydrocotyle wilfordii +Kalopanax septemlobus +Macropanax dispermus +Macropanax undulatus +Merrilliopanax alpinus +Merrilliopanax listeri +Panax bipinnatifidus +Panax japonicus +Panax pseudoginseng +Pentapanax parasiticus +Trevesia palmata +Acronema alpinum +Acronema brevipedicellatum +Acronema chienii +Acronema commutatum +Acronema gracile +Acronema graminifolium +Acronema handelii +Acronema hookeri +Acronema johrianum +Acronema muscicola +Acronema nervosum +Acronema paniculatum +Acronema schneideri +Acronema tenerum +Acronema xizangense +Acronema yadongense +Angelica apaensis +Angelica paeoniifolia +Anthriscus nemorosa +Anthriscus sylvestris +Apium graveolens +Arcuatopterus sikkimensis +Arcuatopterus thalictrioideus +Bupleurum alatum +Bupleurum candollei +Bupleurum commelynoideum +Bupleurum commelynoideum var. flaviflorum +Bupleurum dalhousieanum +Bupleurum gracillimum +Bupleurum hamiltonii +Bupleurum longicaule +Bupleurum longicaule var. amplexicaule +Bupleurum longicaule var. giraldii +Bupleurum malconense +Bupleurum marginatum +Bupleurum marginatum var. stenophyllum +Bupleurum petiolulatum +Bupleurum petiolulatum var. tenerum +Bupleurum rockii +Bupleurum shanianum +Bupleurum smithii +Bupleurum triradiatum +Bupleurum yunnanense +Carum buriaticum +Carum carvi +Centella asiatica +Chaerophyllopsis huai +Chaerophyllum villosum +Chamaesium mallaeanum +Chamaesium novemjugum +Chamaesium paradoxum +Chamaesium spatuliferum var. minor +Chamaesium thalictrifolium +Chamaesium viridiflorum +Conioselinum acuminatum +Coriandrum sativum +Cortia depressa +Cortiella caespitosa +Cortiella cortioides +Cortiella hookeri +Cortiella yatungensis +Cyclorhiza peucedanifolia +Cyclorhiza waltonii +Daucus carota +Dickinsia hydrocotyloides +Eriocycla nuda +Eriocycla nuda var. purpurascens +Eryngium foetidum +Ferula jaeschkeana +Foeniculum vulgare +Hansenia forbesii +Hansenia himalayensis +Hansenia weberbaueriana +Harrysmithia heterophylla +Heracleum barmanicum +Heracleum candicans +Heracleum candicans var. obtusifolium +Heracleum canescens +Heracleum forrestii +Heracleum franchetii +Heracleum kingdonii +Heracleum nyalamense +Heracleum scabridum +Heracleum subtomentellum +Hymenidium album +Hymenidium amabile +Hymenidium apiolens +Hymenidium astrantioideum +Hymenidium chloroleucum +Hymenidium davidii +Hymenidium decurrens +Hymenidium delavayi +Hymenidium dentatum +Hymenidium foetens +Hymenidium hedinii +Hymenidium heracleifolium +Hymenidium heterosciadium +Hymenidium hookeri +Hymenidium lhasanum +Hymenidium lindleyanum +Hymenidium macrochlaenum +Hymenidium mieheanum +Hymenidium nubigenum +Hymenidium pilosum +Hymenidium pulszkyi +Hymenidium stellatum +Hymenidium szechenyii +Hymenidium wilsonii +Hymenidium wrightianum +Hymenidium yunnanense +Hymenolaena candollei +Kailashia bouffordii +Kailashia xizangensis +Keraymonia cortiformis +Libanotis depressa +Ligusticopsis angelicifolia +Ligusticopsis brachyloba +Ligusticopsis daucoides +Ligusticopsis involucrata +Ligusticopsis nana +Ligusticopsis scapiformis +Ligusticopsis violacea +Ligusticopsis wallichiana +Ligusticopsis xizangensis +Ligusticum littledalei +Ligusticum mucronatum +Ligusticum nematophyllum +Ligusticum oliverianum +Ligusticum pteridophyllum +Ligusticum thomsonii +Meeboldia achilleifolia +Meeboldia delavayi +Meeboldia linearis +Meeboldia microloba +Nothosmyrnium japonicum +Nothosmyrnium xizangense +Nothosmyrnium xizangense var. simpliciorum +Oenanthe hookeri +Oenanthe javanica +Oenanthe linearis +Oenanthe thomsonii +Oreocome arguta +Oreocome striata +Oreocomopsis dochenensis +Oreocomopsis xizangensis +Osmorhiza aristata +Osmorhiza aristata var. laxa +Pachypleurum lhasanum +Pachypleurum nyalamense +Peucedanum lhasense +Peucedanum turgeniifolium +Physospermopsis handelii +Physospermopsis kingdon-wardii +Physospermopsis muliensis +Physospermopsis nana +Physospermopsis obtusiuscula +Physospermopsis rubrinervis +Physospermopsis shaniana +Pimpinella acuminata +Pimpinella caudata +Pimpinella chungdienensis +Pimpinella diversifolia +Pimpinella filipedicellata +Pimpinella kingdon-wardii +Pimpinella nyingchiensis +Pimpinella pimpinellisimulacrum +Pimpinella purpurea +Pimpinella rhomboidea +Pimpinella sikkimensis +Pimpinella smithii +Pimpinella tibetanica +Pimpinella wallichiana +Pimpinella wallichii +Pimpinella xizangensis +Pleurospermopsis sikkimensis +Pleurospermum aromaticum +Pleurospermum rupestre +Pternopetalum arunachalense +Pternopetalum caespitosum +Pternopetalum cardiocarpum +Pternopetalum davidii +Pternopetalum delavayi +Pternopetalum longicaule +Pternopetalum molle +Pternopetalum senii +Pternopetalum subalpinum +Pternopetalum trifoliatum +Pternopetalum vulgare +Pterocyclus angelicoides +Pterocyclus rotundatus +Pterocyclus tibeticus +Pterocyclus wolffianus +Sanicula astrantiifolia +Sanicula elata +Sanicula giraldii +Sanicula orthacantha +Sanicula rugulosa +Sanicula serrata +Schulzia dissecta +Selinum cryptotaenium +Semenovia gyirongensis +Semenovia malcolmii +Semenovia montana +Seseli nortonii +Seseli purpureovaginatum +Similisinocarum normanianum +Sinocarum coloratum +Sinocarum cruciatum +Sinocarum cruciatum var. linearilobum +Sinocarum dolichopodum +Sinocarum filicinum +Sinocarum pauciradiatum +Sinocarum pulchellum +Sinocarum vaginatum +Sinocarum wolffianum +Sinolimprichtia alpina +Sinolimprichtia alpina var. dissecta +Sium ventricosum +Sphallerocarpus gracilis +Spuriopimpinella arguta +Tetrataenium bivittatum +Tetrataenium nepalense +Tetrataenium sublineare +Tetrataenium wallichii +Tetrataenium yunnanense +Tongoloa dunnii +Tongoloa gracilis +Tongoloa loloensis +Tongoloa pauciradiata +Tongoloa silaifolia +Tongoloa taeniophylla +Tongoloa tenuifolia +Tordyliopsis brunonis +Torilis japonica +Trachydium involucellatum +Trachydium roylei +Trachydium subnudum +Trachydium tibetanicum +Trachyspermum ammi +Trachyspermum scaberulum +Trachyspermum triradiatum +Vicatia coniifolia +Vicatia thibetica +Species +Cycas panzhihuaensis +Fimbristylis aestivalis +Abies chayuensis +Abies delavayi var. delavayi +Abies delavayi var. motuoensis +Abies densa +Abies ernestii var. ernestii +Abies ernestii var. salouenensis +Abies fabri +Abies fargesii var. fargesii +Abies fargesii var. faxoniana +Abies ferreana +Abies forrestii +Abies georgei var. georgei +Abies georgei var. smithii +Abies nukiangensis +Abies recurvata +Abies spectabilis +Abies squamata +Keteleeria evelyniana +Larix gmelinii var. gmelinii +Larix gmelinii var. principis-rupprechtii +Larix griffithii +Larix himalaica +Larix kaempferi +Larix mastersiana +Larix olgensis +Larix potaninii var. australis  +Larix potaninii var. potaninii +Larix speciosa +Picea asperata var. asperata +Picea asperata var. aurantiaca +Picea aurantiaca var. retroflexa +Picea brachytyla var. brachytyla +Picea brachytyla var. complanata +Picea crassifolia +Picea likiangensis var. hirtella +Picea likiangensis var. likiangensis +Picea likiangensis var. linzhiensis +Picea likiangensis var. montigena +Picea likiangensis var. rubescens +Picea purpurea +Picea schrenkiana +Picea smithiana +Picea spinulosa +Picea wilsonii +Pinus armandii +Pinus bhutanica +Pinus densata +Pinus gerardiana +Pinus massoniana +Pinus roxburghii +Pinus sylvestris var. mongolica +Pinus tabulaeformis +Pinus wallichiana  +Pinus yunnanensis var. pygmaea +Pinus yunnanensis var. yunnanensis +Pseudotsuga forrestii +Tsuga chinensis var. chinensis +Tsuga chinensis var. forrestii +Tsuga dumosa +Tsuga oblongisquamata +Cunninghamia lanceolata var. konishii +Cunninghamia lanceolata var. lanceolata +Taiwania cryptomerioides +Cupressus chengiana var. chengiana +Cupressus chengiana var. jiangeensis +Cupressus duclouxiana +Cupressus funebris +Cupressus gigantea +Cupressus torulosa +Juniperus convallium var. convallium +Juniperus convallium var. microsperma +Juniperus formosana +Juniperus indica +Juniperus komarovii +Juniperus pingii var. pingii +Juniperus pingii var. wilsonii +Juniperus przewalskii +Juniperus recurva var. coxii +Juniperus recurva var. recurva +Juniperus rigida +Juniperus sabina var. erectopatens +Juniperus sabina var. sabina +Juniperus saltuaria +Juniperus sibirica +Juniperus squamata +Juniperus tibetica +Podocarpus neriifolius +Cephalotaxus fortunei var. alpina +Cephalotaxus fortunei var. fortunei +Cephalotaxus hainanensis +Cephalotaxus lanceolata +Cephalotaxus sinensis +Amentotaxus argotaenia +Amentotaxus assamica +Taxus wallichiana var. chinensis +Taxus wallichiana var. mairei +Taxus wallichiana var. wallichiana +Torreya fargesii var. yunnanensis +Ephedra equisetina +Ephedra gerardiana +Ephedra intermedia +Ephedra likiangensis +Ephedra minuta +Ephedra monosperma +Ephedra przewalskii +Ephedra saxatilis +Ephedra sinica +Gnetum pendulum +Nymphaea alba +Nymphaea tetragona +Illicium burmanicum +Illicium griffithii +Illicium macranthum +Illicium merrillianum +Illicium simonsii +Illicium wardii +Kadsura heteroclita +Schisandra bicolor +Schisandra grandiflora +Schisandra lancifolia +Schisandra mengtzeana +Schisandra neglecta +Schisandra propinqua +Schisandra pubescens +Schisandra rubriflora +Schisandra sphaerandra +Schisandra sphenanthera +Houttuynia cordata +Peperomia heyneana +Peperomia tetraphylla +Piper boehmeriifolium +Piper infossum var. infossum +Piper infossum var. nudum +Piper macropodum +Piper mullesua +Piper pedicellatum +Piper rhytidocarpum +Piper semiimmersum +Piper suipigua +Piper sylvaticum +Piper thomsonii +Piper wallichii +Aristolochia cucurbitoides +Aristolochia delavayi +Aristolochia gentilis +Aristolochia griffithii +Aristolochia macrocarpa +Aristolochia moupinensis +Aristolochia thibetica +Aristolochia wardiana +Asarum himalaicum +Knema lenta +Alcimandra cathcartii +Magnolia delavayi +Magnolia globosa +Magnolia rostrata +Magnolia sinensis +Magnolia wilsonii +Manglietia caveana +Manglietia insignis +Michelia champaca +Michelia doltsopa +Michelia floribunda +Michelia kisopa +Michelia velutina +Michelia yunnanensis +Parakmeria nitida +Talauma hodgsonii +Yulania campbellii +Yulania dawsoniana +Dasymaschalon rostratum +Fissistigma retusum +Polyalthia chinensis +Illigera cordata var. mollissima +Illigera grandiflora var. grandiflora +Actinodaphne obovata +Actinodaphne tsaii +Alseodaphne andersonii +Alseodaphne petiolaris +Beilschmiedia robusta +Beilschmiedia roxburghiana +Cinnamomum bejolghota +Cinnamomum contractum +Cinnamomum glanduliferum +Cinnamomum iners +Cinnamomum subavenium +Cinnamomum tamala +Cinnamomum wilsonii +Cryptocarya amygdalina +Dodecadenia grandiflora var. grandiflora +Dodecadenia grandiflora var. griffithii +Lindera communis +Lindera doniana +Lindera erythrocarpa +Lindera floribunda +Lindera fragrans +Lindera fruticosa var. fruticosa +Lindera gracilipes +Lindera kariensis +Lindera latifolia +Lindera limprichtii +Lindera longipedunculata +Lindera megaphylla +Lindera motuoensis +Lindera nacusua +Lindera neesiana +Lindera obtusiloba var. heterophylla +Lindera obtusiloba var. obtusiloba +Lindera pulcherrima var. hemsleyana +Lindera pulcherrima var. pulcherrima +Lindera supracostata +Lindera thomsonii +Lindera tienchuanensis +Lindera villipes +Litsea albescens +Litsea balansae +Litsea biflora +Litsea chengshuzhii +Litsea chinpingensis +Litsea chunii var. chunii +Litsea chunii var. likiangensis +Litsea coelestis +Litsea cubeba +Litsea depressa +Litsea elongata +Litsea gongshanensis +Litsea monantha +Litsea greenmaniana +Litsea kingii +Litsea liboshengii +Litsea longistaminata +Litsea mishmiensis +Litsea mollis +Litsea monopetala +Litsea moupinensis +Litsea populifolia +Litsea pungens +Litsea rubescens var. rubescens +Litsea rubescens var. yunnanensis +Litsea sericea +Litsea taronensis +Litsea tibetana +Litsea umbellata +Litsea vang var. lobata +Litsea veitchiana +Machilus chayuensis +Machilus chrysotricha +Machilus dumicola +Machilus duthiei +Machilus gamblei +Machilus gongshanensis +Machilus kurzii +Machilus nanmu +Machilus obscurinervis +Machilus ovatiloba +Machilus robusta +Machilus rufipes +Machilus salmonea +Machilus shweliensis +Machilus viridis +Machilus yunnanensis var. tibetana +Machilus yunnanensis var. yunnanensis +Neocinnamomum delavayi +Neocinnamomum mekongense +Neolitsea aurata var. glauca +Neolitsea conigemma +Neolitsea homilantha +Neolitsea levinei +Neolitsea pallens +Neolitsea sutchuanensis +Phoebe chinensis +Phoebe faberi +Phoebe flaucifolia +Phoebe forrestii +Phoebe legendrei +Phoebe motuonan +Sinosassafras flavinervium +Chloranthus erectus +Chloranthus multistachys +Acorus gramineus +Acorus gramineus +Alocasia odora +Amorphophallus kachinensis +Arisaema aridum +Arisaema auriculatum +Arisaema brevipes +Arisaema calcareum +Arisaema candidissimum +Arisaema ciliatum +Arisaema concinnum +Arisaema costatum +Arisaema decipiens +Arisaema echinatum +Arisaema elephas +Arisaema erubescens +Arisaema exappendiculatum +Arisaema flavum +Arisaema franchetianum +Arisaema galeatum +Arisaema griffithii +Arisaema handelii +Arisaema heterophyllum +Arisaema intermedium +Arisaema jacquemontii +Arisaema lichiangense +Arisaema lineare +Arisaema multisectum +Arisaema nepenthoides +Arisaema parvum +Arisaema propinquum +Arisaema rhizomatum var. nudum +Arisaema rhizomatum var. rhizomatum +Arisaema saxatile +Arisaema sinii +Arisaema smitinandii +Arisaema souliei +Arisaema speciosum +Arisaema tengtsungense +Arisaema tortuosum +Arisaema utile +Arisaema wardii +Arisaema wattii +Arisaema wilsonii +Arisaema xiangchengense +Arisaema yunnanense +Colocasia affinis +Colocasia antiquorum +Colocasia esculenta +Colocasia fallax +Lasia spinosa +Lemna aequinoctialis +Lemna minor +Lemna trisulca +Pinellia ternata +Pistia stratiotes +Pothos chinensis +Pothos repens +Pothos scandens +Remusatia hookeriana +Remusatia pumila +Remusatia vivipara +Rhaphidophora crassicaulis +Rhaphidophora decursiva +Rhaphidophora dulongensis +Rhaphidophora glauca +Rhaphidophora hongkongensis +Rhaphidophora hookeri +Rhaphidophora lancifolia +Rhaphidophora luchunensis +Rhaphidophora peepla +Sauromatum brevipes +Sauromatum diversifolium +Sauromatum giganteum +Sauromatum horsfieldii +Sauromatum venosum +Spirodela polyrhiza +Typhonium blumei +Typhonium mangkamense +Wolffia globosa +Tofieldia divergens +Tofieldia thibetica +Alisma gramineum +Alisma orientale +Sagittaria trifolia +Blyxa japonica +Hydrilla verticillata +Hydrocharis dubia +Najas marina +Najas minor +Ottelia acuminata var. acuminata +Ottelia alismoides +Vallisneria natans +Scheuchzeria palustris +Triglochin maritima +Triglochin palustris +Potamogeton compressus +Potamogeton crispus +Potamogeton distinctus +Potamogeton gramineus +Potamogeton leptanthus +Potamogeton lucens +Potamogeton maackianus +Potamogeton nanus +Potamogeton natans +Potamogeton nodosus +Potamogeton obtusifolius +Potamogeton oxyphyllus +Potamogeton pectinatus +Potamogeton perfoliatus +Potamogeton polygonifolius +Potamogeton pusillus +Potamogeton recurvatus +Potamogeton wrightii +Stuckenia filiformis +Stuckenia pamirica +Zannichellia palustris +Zannichellia qinghaiensis +Ruppia maritima +Aletris alpestris +Aletris capitata +Aletris glabra +Aletris glandulifera +Aletris gracilis +Aletris laxiflora +Aletris pauciflora var. khasiana +Aletris pauciflora var. pauciflora +Aletris stenoloba +Dioscorea alata +Dioscorea althaeoides +Dioscorea aspersa +Dioscorea bicolor +Dioscorea biformifolia +Dioscorea birmanica +Dioscorea bulbifera +Dioscorea cirrhosa +Dioscorea collettii +Dioscorea cumingii +Dioscorea decipiens +Dioscorea deltoidea +Dioscorea hemsleyi +Dioscorea hispida +Dioscorea kamoonensis +Dioscorea martini +Dioscorea melanophyma +Dioscorea nanlaensis +Dioscorea nipponica +Dioscorea nitens +Dioscorea panthaica +Dioscorea parviflora +Dioscorea pentaphylla +Dioscorea persimilis +Dioscorea polystachya +Dioscorea subcalva +Dioscorea velutipes +Dioscorea xizangensis +Dioscorea yunnanensis +Acanthochlamys bracteata +Stemona mairei +Pandanus urophyllus +Paris axialis +Paris bashanensis +Paris delavayi var. petiolata +Paris longistigmata +Paris mairei +Paris marmorata +Paris polyphlla var. chinensis +Paris polyphlla var. stenophylla +Paris polyphylla var. polyphylla +Paris thibetica var. apetala +Paris thibetica var. thibetica +Paris verticillata +Trillium govanianum +Trillium tschonoskii +Veratrum grandiflorum +Veratrum mengtzeanum +Veratrum nigrum +Veratrum stenophyllum var. stenophyllum +Veratrum taliense +Ypsilandra alpina +Ypsilandra yunnanensis +Heterosmilax septemnervia +Smilax aberrans +Smilax aspera +Smilax aspericaulis +Smilax biumbellata +Smilax chingii +Smilax cyclophylla +Smilax elegans +Smilax ferox +Smilax glabra +Smilax griffithii +Smilax hemsleyana +Smilax lanceifolia +Smilax lebrunii +Smilax lushuiensis +Smilax mairei +Smilax menispermoidea +Smilax microphylla +Smilax munita +Smilax myrtillus +Smilax nana +Smilax nigrescens +Smilax ocreata +Smilax perfoliata +Smilax quadrata +Smilax stans +Smilax trachypoda +Asparagus angulofractus +Asparagus brachyphyllus +Asparagus cochinchinensis +Asparagus filicinus +Asparagus gobicus +Asparagus longiflorus +Asparagus lycopodineus +Asparagus meioclados +Asparagus munitus +Asparagus myriacanthus +Asparagus persicus +Asparagus przewalskyi +Asparagus racemosus +Asparagus sichuanicus +Asparagus tibeticus +Asparagus yanyuanensis +Barnardia japonica +Campylandra aurantiaca +Campylandra chinensis +Campylandra ensifolia +Campylandra fimbriata +Campylandra liangshanensis +Campylandra wattii +Cardiocrinum giganteum   +Chlorophytum chinense +Chlorophytum nepalense +Clintonia udensis +Disporopsis aspersa +Disporum bodinieri +Disporum calcaratum +Disporum cantoniense +Disporum megalanthum +Disporum uniflorum +Diuranthera major +Fritillaria crassicaulis +Fritillaria dajinensis +Fritillaria delavayi +Fritillaria fusca +Fritillaria przewalskii +Fritillaria sichuanica +Fritillaria sungbei +Fritillaria unibracteata var. longinectarea +Fritillaria unibracteata var. unibracteata +Fritillaria walujewii +Gagea filiformis +Gagea jaeschkei +Gagea neopopovii +Gagea olgae +Gagea ova +Gagea pauciflora +Iphigenia indica +Lilium bakerianum var. bakerianum +Lilium brevistylum +Lilium brownii +Lilium davidii +Lilium duchartrei +Lilium habaense +Lilium henrici +Lilium lijiangense +Lilium lophophorum +Lilium matangense +Lilium nanum var. nanum +Lilium nepalense +Lilium papilliferum +Lilium paradoxum +Lilium primulinum var. burmanicum +Lilium pumilum +Lilium regale +Lilium saccatum +Lilium sargentiae +Lilium sempervivoideum +Lilium souliei +Lilium stewartianum +Lilium sulphureum +Lilium taliense +Lilium tigrinum +Lilium wardii +Lilium xanthellum var. xanthellum +Lloydia delavayi +Lloydia flavonutans +Lloydia ixiolirioides +Lloydia oxycarpa +Lloydia serotina var. parva +Lloydia serotina var. serotina +Lloydia tibetica +Lloydia yunnanensis +Maianthemum atropurpureum +Maianthemum bifolium +Maianthemum fuscum +Maianthemum gongshanense +Maianthemum henryi +Maianthemum lichiangense +Maianthemum oleraceum +Maianthemum purpureum +Maianthemum tatsienense +Maianthemum tubiferum +Milula spicata +Nomocharis aperta +Nomocharis basilissa +Nomocharis farreri +Nomocharis meleagrina +Nomocharis pardanthina +Nomocharis saluenensis +Notholirion bulbuliferum +Notholirion campanulatum +Notholirion macrophyllum +Ophiopogon bodinieri +Ophiopogon clarkei +Ophiopogon grandis +Ophiopogon intermedius +Ophiopogon lushuiensis +Ophiopogon motouensis +Ophiopogon yunnanensis +Peliosanthes macrostegia +Peliosanthes sinica +Peliosanthes teta +Polygonatum alternicirrhosum +Polygonatum cathcartii +Polygonatum cirrhifolium +Polygonatum curvistylum +Polygonatum griffithii +Polygonatum hirtellum +Polygonatum hookeri +Polygonatum kingianum +Polygonatum medogensis +Polygonatum megaphyllum +Polygonatum odoratum +Polygonatum oppositifolium +Polygonatum pendulum +Polygonatum prattii +Polygonatum punctatum +Polygonatum qinghaiensis +Polygonatum sibtrcum +Polygonatum tessellatum +Polygonatum verticillatum +Polygonatum zanlanscianense +Reineckea carnea +Streptopus obtusatus +Streptopus parviflorus +Streptopus simplex +Theropogon pallidus +Tricyrtis pilosa +Tulipa dasystemon +Acampe rigida +Agrostophyllum callosum +Amitostigma basifoliatum +Amitostigma faberi +Amitostigma farreri +Amitostigma gonggashanicum +Amitostigma gracile +Amitostigma hemipilioides +Amitostigma monanthum +Amitostigma papilionaceum +Amitostigma physoceras +Amitostigma tetralobum +Amitostigma tibeticum +Amitostigma trifurcatum +Amitostigma yuanum +Androcorys ophioglossoides +Androcorys pugioniformis +Androcorys spiralis +Anoectochilus baotingensis +Anoectochilus brevistylis +Anoectochilus clarkei +Anthogonium gracile +Aphyllorchis alpina +Aphyllorchis gollani +Ascocentrum himalaicum +Bletilla formosana +Bletilla ochracea +Bletilla striata +Brachycorythis galeandra +Bulbophyllum amplifolium +Bulbophyllum andersonii +Bulbophyllum bomiense +Bulbophyllum cariniflorum +Bulbophyllum caudatum +Bulbophyllum cauliflorum +Bulbophyllum delitescens +Bulbophyllum elatum +Bulbophyllum emarginatum +Bulbophyllum eublepharum +Bulbophyllum forrestii +Bulbophyllum gongshanense +Bulbophyllum guttulatum +Bulbophyllum helenae +Bulbophyllum leopardinum +Bulbophyllum odoratissimum +Bulbophyllum reptans +Bulbophyllum retusiusculum +Bulbophyllum umbellatum +Bulbophyllum yunnanense +Bulleyia yunnanensis +Calanthe alismatifolia +Calanthe alpina +Calanthe arcuata +Calanthe brevicornu +Calanthe clavata +Calanthe davidii +Calanthe densiflora +Calanthe discolor +Calanthe griffithii +Calanthe hancockii +Calanthe herbacea +Calanthe mannii +Calanthe metoensis +Calanthe nipponica +Calanthe plantaginea var. lushuiensis +Calanthe plantaginea var. plantaginea +Calanthe puberula +Calanthe reflexa +Calanthe sylvatica +Calanthe tricarinata +Calypso bulbosa +Cephalanthera calcarata +Cephalanthera erecta +Cephalanthera falcata +Cephalanthera longifolia +Cephalantheropsis halconensis +Ceratostylis himalaica +Chamaegastrodia shikokiana +Changnienia amoena +Chrysoglossum assamicum +Cleisostoma linearilobatum +Cleisostoma medogense +Cleisostoma paniculatum +Coelogyne barbata +Coelogyne corymbosa +Coelogyne cristata +Coelogyne fimbriata +Coelogyne leucantha +Coelogyne longipes +Coelogyne occultata +Coelogyne ovalis +Coelogyne prolifera +Coelogyne punctulata +Collabium chinense +Collabium formosanum +Conchidium muscicola +Corallorhiza trifida +Corybas taliensis +Cremastra appendiculata +Crepidium acuminatum +Crepidium bahanense +Crepidium orbiculare +Cryptochilus luteus +Cryptochilus sanguineus +Cylindrolobus tenuicaulis +Cymbidium eburneum +Cymbidium elegans var. elegans +Cymbidium ensifolium +Cymbidium erythraeum +Cymbidium faberi +Cymbidium floribundum +Cymbidium goeringii var. goeringii +Cymbidium gongshanense +Cymbidium hookerianum +Cymbidium iridioides +Cymbidium kanran +Cymbidium lancifolium +Cymbidium tracyanum +Cymbidium wilsonii +Cypripedium bardolphianum +Cypripedium debile +Cypripedium elegans +Cypripedium fargesii +Cypripedium fasciolatum +Cypripedium flavum +Cypripedium franchetii +Cypripedium guttatum +Cypripedium henryi +Cypripedium himalaicum +Cypripedium macranthos +Cypripedium margaritaceum +Cypripedium palangshanense +Cypripedium plectrochilum +Cypripedium shanxiense +Cypripedium subtropicum +Cypripedium tibeticum +Cypripedium wardii +Cypripedium yunnanense +Dactylorhiza hatagirea +Dactylorhiza umbrosa +Dactylorhiza viridis +Dendrobium chrysanthum +Dendrobium cucullatum +Dendrobium denneanum +Dendrobium densiflorum +Dendrobium devonianum +Dendrobium fimbriatum +Dendrobium hancockii +Dendrobium hookerianum +Dendrobium longicornu +Dendrobium moniliforme +Dendrobium monticola +Dendrobium nobile +Dendrobium pendulum +Dendrobium salaccense +Diphylax contigua +Diphylax uniformis +Diphylax urceolata +Diplomeris pulchella +Epigeneium amplum +Epigeneium fuscescens +Epigeneium rotundatum +Epigeneium treutleri +Epipactis helleborine +Epipactis humilior +Epipactis mairei +Epipactis veratrifolia +Epipogium aphyllum +Epipogium roseum +Eria alba +Eria clausa +Eria coronaria +Eria gagnepainii +Eria vittata +Flickingeria albopurpurea +Frigidorchis humidicola +Fritillaria cirrhosa +Galearis roborowskyi +Galearis spathulata +Galearis tschiliensis +Galearis wardii +Galeola faberi +Galeola lindleyana +Gastrochilus calceolaris +Gastrochilus distichus +Gastrochilus formosanus +Gastrochilus intermedius +Gastrochilus obliquus +Gastrochilus pseudodistichus +Gastrodia elata +Geodorum densiflorum +Goodyera biflora +Goodyera bomiensis +Goodyera foliosa +Goodyera fusca +Goodyera henryi +Goodyera procera +Goodyera recurva +Goodyera repens +Goodyera robusta +Goodyera schlechtendaliana +Goodyera velutina +Goodyera wolongensis +Gymnadenia bicornis +Gymnadenia conopsea +Gymnadenia crassinervis +Gymnadenia orchidis +Habenaria acianthoides +Habenaria acuifera +Habenaria aitchisonii +Habenaria arietina +Habenaria balfouriana +Habenaria davidii +Habenaria delavayi +Habenaria dentata +Habenaria diplonema +Habenaria fargesii +Habenaria glaucifolia +Habenaria intermedia +Habenaria limprichtii +Habenaria linguella +Habenaria mairei +Habenaria malintana +Habenaria stenopetala +Habenaria szechuanica +Habenaria tibetica +Habenaria wolongensis +Hemipilia cordifolia +Hemipilia crassicalcarata +Hemipilia flabellata +Hemipilia forrestii +Hemipilia quinquangularis +Hemipiliopsis purpureopunctata +Herminium alaschanicum +Herminium angustilabre +Herminium carnosilabre +Herminium chloranthum +Herminium coiloglossum +Herminium ecalcaratum +Herminium glossophyllum +Herminium josephii +Herminium lanceum +Herminium macrophyllum +Herminium monorchis +Herminium quinquelobum +Herminium singulum +Herminium souliei +Herminium yunnanense +Holcoglossum flavescens +Holcoglossum kimballianum +Holopogon smithianus +Ischnogyne mandarinorum +Liparis bistriata +Liparis bootanensis +Liparis campylostalix +Liparis cathcartii +Liparis cespitosa +Liparis chapaensis +Liparis cordifolia +Liparis delicatula +Liparis distans +Liparis elliptica +Liparis fargesii +Liparis gigantea +Liparis glossula +Liparis nervosa +Liparis odorata +Liparis petiolata +Liparis resupinata +Liparis rostrata +Liparis stricklandiana +Liparis tschangii +Liparis viridiflora +Luisia ramosii +Luisia teres +Malaxis monophyllos +Monomeria barbata +Mycaranthes pannea +Myrmechis japonica +Neofinetia falcata +Neogyna gardneriana +Neottia acuminata +Neottia bambusetorum +Neottia biflora +Neottia camtschatea +Neottia divaricata +Neottia listeroides +Neottia longicaulis +Neottia megalochila +Neottia pinetorum +Neottia puberula var. puberula +Neottia smithii +Neottia wardii +Neottianthe camptoceras +Neottianthe compacta +Neottianthe cucullata var. calcicola +Neottianthe cucullata var. cucullata +Neottianthe secundiflora +Nervilia aragoana +Nervilia fordii +Oberonia acaulis +Oberonia caulescens +Oberonia kwangsiensis +Oberonia mannii +Oberonia obcordata +Oberonia pyrulifera +Odontochilus crispus +Odontochilus elwesii +Odontochilus lanceolatus +Odontochilus poilanei +Odontochilus tortus +Orchis cyclochila +Oreorchis fargesii +Oreorchis foliosa +Oreorchis micrantha +Oreorchis nana +Oreorchis patens +Otochilus albus +Otochilus fuscus +Otochilus lancilabius +Otochilus porrectus +Panisea cavaleriei +Paphiopedilum armeniacum +Paphiopedilum venustum +Papilionanthe biswasiana +Pecteilis susannae +Peristylus affinis +Peristylus bulleyi +Peristylus calcaratus +Peristylus coeloceras +Peristylus elisabethae +Peristylus fallax +Peristylus forceps +Peristylus forrestii +Peristylus goodyeroides +Peristylus jinchuanicus +Peristylus mannii +Phaius delavayi +Phaius flavus +Phaius mishmensis +Phaius tancarvilleae +Phaius wallichii +Phaius wilsonii +Phalaenopsis taenialis +Pholidota articulata +Pholidota chinensis +Pholidota imbricata +Pholidota missionariorum +Pholidota yunnanensis +Pinalia acervata +Pinalia conferta +Pinalia coronaria +Pinalia excavata +Pinalia graminifolia +Pinalia spicata +Pinalia stricta +Pinalia szetschuanica +Platanthera arcuata +Platanthera bakeriana +Platanthera bifolia +Platanthera chiloglossa +Platanthera chlorantha +Platanthera clavigera +Platanthera curvata +Platanthera exelliana +Platanthera finetiana +Platanthera herminioides +Platanthera hologlottis +Platanthera japonica +Platanthera latilabris +Platanthera leptocaulon +Platanthera likiangensis +Platanthera minutiflora +Platanthera oreophila +Platanthera roseotincta +Platanthera sachalinensis +Platanthera sinica +Platanthera souliei +Platanthera stenantha +Platanthera stenophylla +Pleione bulbocodioides +Pleione forrestii +Pleione hookeriana +Pleione praecox +Pleione saxicola +Pleione scopulorum +Pleione yunnanensis +Pogonia yunnanensis +Ponerorchis brevicalcarata +Ponerorchis chrysea +Ponerorchis chusua +Ponerorchis crenulata +Ponerorchis limprichtii +Porolabium biporosum +Rhomboda moulmeinensis +Risleya atropurpurea +Satyrium nepalense var. ciliatum +Satyrium nepalense var. nepalense +Satyrium yunnanense +Schoenorchis gemmata +Smithorchis calceoliformis +Spathoglottis ixioides +Spathoglottis pubescens +Spiranthes sinensis +Stauropsis undulata +Sunipia andersonii +Sunipia bicolor +Sunipia candida +Sunipia intermedia +Tainia latifolia +Tainia laxiflora +Thrixspermum japonicum +Thunia alba +Tipularia szechuanica +Tropidia angulosa +Tropidia curculigoides +Vanda concolor +Vanda cristata +Vandopsis undulata +Curculigo capitulata +Curculigo crassifolia +Hypoxis aurea +Belamcanda chinensis +Iris bulleyana +Iris chrysographes +Iris clarkei +Iris collettii +Iris confusa +Iris cuniculiformis +Iris decora +Iris delavayi +Iris dichotoma +Iris ensata +Iris forrestii +Iris goniocarpa +Iris halophila var. halophila +Iris halophila var. sogdiana +Iris kemaonensis +Iris lactea var. chrysantha +Iris lactea var. lactea +Iris latistyla +Iris leptophylla +Iris loczyi +Iris milesii +Iris narcissiflora +Iris polysticta +Iris potaninii var. ionantha +Iris potaninii var. potaninii +Iris qinghainica +Iris ruthenica +Iris scariosa +Iris songarica +Iris subdichotoma +Iris tectorum +Iris tigridia var. tigridia +Iris wattii +Iris wilsonii +Dianella ensifolia +Eremurus chinensis +Hemerocallis esculenta +Hemerocallis forrestii +Hemerocallis fulva +Hemerocallis nana +Hemerocallis plicata +Allium aciphyllum +Allium atrosanguineum +Allium beesianum +Allium caricoides +Allium carolinianum +Allium changduense +Allium chienchuanense +Allium chrysanthum +Allium chrysocephalum +Allium cyaneum +Allium cyathophorum +Allium eusperma +Allium fasciculatum +Allium forrestii +Allium glomeratum +Allium herderianum +Allium hookeri +Allium hymenorhizum +Allium kingdonii +Allium korolkowii +Allium macranthum +Allium macrostemon +Allium mairei +Allium mongolicum +Allium nanodes +Allium oreoprasum +Allium ovalifolium var. cordifolium +Allium ovalifolium var. ovalifolium +Allium pallasii +Allium phariense +Allium platyspathum +Allium plurifoliatum var. zhegushanense +Allium polyrhizum +Allium prattii +Allium przewalskianum +Allium ramosum +Allium rude +Allium schoenoprasum +Allium sikkimense +Allium siphonanthum +Allium songpanicum +Allium tanguticum +Allium tenuissimum +Allium tianschanicum +Allium trifurcatum +Allium victorialis +Allium wallichii +Allium xichuanense +Allium yanchiense +Allium yuanum +Lycoris aurea +Arenga micrantha +Arenga westerhoutii +Calamus acanthospathus +Calamus flagellum +Calamus floribundus +Calamus nambariensis +Calamus yunnanensis +Caryota obtusa +Pinanga gracilis +Wallichia disticha +Amischotolype hispida +Amischotolype hookeri +Commelina benghalensis +Commelina communis +Commelina diffusa +Commelina maculata +Commelina paludosa +Cyanotis cristata +Cyanotis vaga +Dictyospermum conspicuum +Murdannia divergens +Murdannia stenothyrsa +Pollia hasskarlii +Spatholirion longifolium +Streptolirion volubile subsp. khasianum +Streptolirion volubile subsp. volubile +Tricarpelema xizangense +Ensete glaucum +Musa ballbisiana +Musa sanguinea +Phrynium placentarium +Costus aromatica +Costus lacerus +Alpinia blepharocalyx +Alpinia malaccensis +Amomum dealbatum +Amomum maximum +Amomum sp. +Amomum subulatum +Caulokaempferia yunnanensis +Cautley cathcartii +Cautley gracilis +Cautley spicata +Curcuma longa +Globba racemosa +Hedychium bijiangense +Hedychium coccineum +Hedychium coronarium +Hedychium densiflorum +Hedychium efilamentosum +Hedychium flavum +Hedychium forrestii +Hedychium parvibracteatum +Hedychium sinoaureum +Hedychium spicatum var. acuminatum +Hedychium spicatum var. spicatum +Hedychium villosum var. villosum +Hedychium yunnanense +Hornstedtia tibetica +Rhynchanthus beesianus +Roscoea alpina +Roscoea auriculata +Roscoea capitata +Roscoea cautleoides var. cautleoides +Roscoea humeana +Roscoea purpurea +Roscoea schneideriana +Roscoea scillifolia +Roscoea tibetica +Zingiber striolatum +Sparganium confertum +Sparganium glomeratum +Sparganium limosum +Sparganium stoloniferum +Typha angustifolia +Typha davidiana +Typha domingensis +Typha latifolia +Typha laxmannii +Typha minima +Typha orientalis +Xyris capensis var. schoenoides +Eriocaulon cinereum +Eriocaulon nepalense +Eriocaulon pullum +Eriocaulon rockianum +Eriocaulon setaceum +Eriocaulon sollyanum +Eriocaulon tonkinense +Juncus alatus +Juncus albesens +Juncus allioides +Juncus alpinus +Juncus amplifolius +Juncus articulatus +Juncus benghalensis +Juncus biglumis +Juncus brachystigma +Juncus bracteatus +Juncus bufonius var. bufonius +Juncus bufonius var. rechingeri +Juncus castaneus +Juncus cephalostigma +Juncus chrysocarpus +Juncus clarkei +Juncus concinnus var. concinnus +Juncus concinnus var. monocepnalus +Juncus concolor +Juncus crassistylus +Juncus effusus +Juncus giganteus +Juncus gracilicaulis +Juncus gracillimus +Juncus grisebachi +Juncus grisebachii +Juncus heptopotamicus var. heptopotamicus +Juncus heptopotamicus var. yiningensis +Juncus himalensis +Juncus inflexus +Juncus khasiensis +Juncus kingii +Juncus lanpinguensi +Juncus leucanthus +Juncus leucomelas +Juncus luzuliformis +Juncus membranaceus +Juncus milashanensis +Juncus minimus +Juncus modicus +Juncus nigroviolaceus +Juncus potaninii +Juncus prismatocarpus subsp. prismatocarpus +Juncus przewalskii +Juncus ranarius +Juncus setchuensis +Juncus sikkimensis +Juncus sphacelatus +Juncus tanguticus +Juncus thomsonii +Juncus tibeticus +Juncus triglumis +Juncus unifolius +Luzula effusa +Luzula multiflora +Luzula oligantha +Luzula parviflora +Luzula plumosa +Luzula spicata +Luzula sudetica +Blysmus compressus +Blysmus rufus +Blysmus sinocompressus +Bolboschoenus planiculmis +Bulbostylis densa +Carex agglomerata +Carex alajica +Carex alexeenkoana +Carex allivescens +Carex alta +Carex angustifructus +Carex anomoea +Carex arcatica +Carex aridula +Carex aristata var. lanceisquama +Carex aristulifera +Carex asperifructus +Carex atrata subsp. aterrima +Carex atrata subsp. pullata +Carex atrofusca subsp. atrofusca +Carex atrofusca subsp. minor +Carex atrofuscoides +Carex baccans +Carex breviculmis +Carex caespititia +Carex canaliculata +Carex capillacea +Carex capilliculmis +Carex cardiolepis +Carex changmuensis +Carex chiwuana +Carex chlorocephalula +Carex chlorostachys var. chlorostachys +Carex chlorostachys var. conferta +Carex composita +Carex coriophora +Carex crebra +Carex cremostachys +Carex cruciata +Carex cruenta +Carex curaica +Carex cylindrostachys +Carex decora +Carex delavayi +Carex dichroa +Carex dielsiana +Carex dispalata +Carex divisa +Carex doniana +Carex drepanorhyncha +Carex duriuscula subsp. rigescens +Carex duriuscula subsp. stenophylloides +Carex duthiei +Carex echinochloaeformis +Carex eminens +Carex enervis +Carex ensifolia +Carex fastigiata +Carex filicina +Carex finitima +Carex fluviatilis +Carex foliosa +Carex forrestii +Carex gentilis var. gentilis +Carex gentilis var. intermedia +Carex globistylosa +Carex gaoligongshanensis +Carex gonggaensis +Carex gongshanensis +Carex griffithii +Carex haematostoma +Carex hancockiana +Carex hemineuros +Carex henryi +Carex heshuonensis +Carex heterolepis +Carex hirtelloides +Carex hirticaulis +Carex huolushanensis +Carex inanis +Carex inclinis +Carex incurva +Carex insignis +Carex ivanovae +Carex kansuensis +Carex karlongensis +Carex korshinskii +Carex kunlunsanensis +Carex laeta +Carex lanceolata +Carex lehmannii +Carex lenta +Carex ligulata +Carex lithophila +Carex longicurcuris +Carex longipes +Carex makuensis +Carex melinacra +Carex microglochin +Carex montis-everestii +Carex moorcroftii +Carex motuoensis +Carex moupinensis +Carex muliensis +Carex munda +Carex myosurus +Carex nakaoana +Carex neodigyna +Carex nivalis +Carex nubigena +Carex obscura var. brachycarpa +Carex obscura var. obscura +Carex obscuriceps +Carex olivacea +Carex orbicularis +Carex ovatispiculata +Carex oxyphylla +Carex pamirensis +Carex parva +Carex pediformis +Carex perakensis +Carex plectobasis +Carex pleistogyna +Carex polycephala +Carex polymascula +Carex pomiensis +Carex praeclara +Carex praelonga +Carex prolongata +Carex pruinosa +Carex przewalskii +Carex pseudofoetida +Carex pulchra +Carex purpureosquamata +Carex pycnostachya +Carex qinghaiensis +Carex radicalis +Carex remotiuscula +Carex ridongensis +Carex roborosalcu +Carex rochebrunii +Carex rubrobrunnea var. rubrobrunnea +Carex rubrobrunnea var. taliensis +Carex sagaensis +Carex sendaica +Carex satakeana +Carex scabrirostris +Carex schneideri +Carex scolopendriformis +Carex sempervirens subsp. tristis +Carex serreana +Carex setigera var. schlagintweitiana +Carex setigera var. setigera +Carex setosa +Carex songorica +Carex speciosa +Carex stenocarpa +Carex stenophylla +Carex stipitinux +Carex subfilicinoides +Carex subpediformis +Carex tangulashanensis +Carex tapinzensis +Carex tatsiensis +Carex teinogyna +Carex teres +Carex thomsonii +Carex thunbergii +Carex turkestanica +Carex ussuriensis +Carex vulpinaris +Carex yulungshanensis +Carex yunlingensis +Carex yushuensis +Carex zekogensis +Cladium jamaicence subsp. chinense +Cyperus amuricus +Cyperus cuspidatus +Cyperus cyperinus +Cyperus cyperoides +Cyperus difformis +Cyperus eleusinoides +Cyperus fuscus var. fuscus +Cyperus fuscus var. pallido-marginatus +Cyperus haspan +Cyperus iria +Cyperus niveus +Cyperus pannonicus +Cyperus pilosus +Cyperus rotundus +Cyperus squarrosus +Eleocharis abnorma +Eleocharis congesta +Eleocharis dulcis +Eleocharis erhaiensis +Eleocharis fennica var. fennica +Eleocharis fennica var. sareptana +Eleocharis glabella +Eleocharis intersita +Eleocharis kamtschatica +Eleocharis kuoi +Eleocharis liouana +Eleocharis meridionalis +Eleocharis ovata +Eleocharis palustris +Eleocharis penchaoi +Eleocharis qinghaiensis +Eleocharis quinqueflora +Eleocharis setulosa +Eleocharis uniglumis +Eleocharis valleculosa var. setosa +Eleocharis valleculosa var. valleculosa +Eleocharis yokoscensis +Eleocharis yunnanensis +Eriophorum angustifolium +Eriophorum comosum +Eriophorum gracile +Fimbristylis bisumbellata +Fimbristylis complanata +Fimbristylis dichotoma subsp. dichotoma +Fimbristylis dichotoma subsp. podocarpa +Fimbristylis littoralis var. littoralis +Fimbristylis longispica +Fimbristylis nigrobrunnea +Fimbristylis ovata +Fimbristylis pierotii +Fimbristylis quinquangularis +Fimbristylis rigidula +Fimbristylis squarrosa +Fimbristylis stolonifera +Fissistigma polyanthum +Isolepis setacea +Isolepis setaceus +Kobresia angusta +Kobresia burangensis +Kobresia cercostachys +Kobresia cuneata +Kobresia curticeps +Kobresia duthiei +Kobresia eapillifolia +Kobresia esenbeckii +Kobresia falcata +Kobresia filicina +Kobresia filifolia +Kobresia fragilis +Kobresia gammiei +Kobresia graminifolia +Kobresia hohxilensis +Kobresia hookeri +Kobresia humilis +Kobresia inflata +Kobresia kansuensis +Kobresia lacustris +Kobresia laxa +Kobresia littledalei +Kobresia loliacea +Kobresia longearistita +Kobresia macrantha +Kobresia macroprophylla +Kobresia maquensis +Kobresia menyuanica +Kobresia microglochin +Kobresia myosuroides subsp. bistaminata +Kobresia myosuroides subsp. myosuroides +Kobresia nepalensis +Kobresia parva +Kobresia persica +Kobresia pinetorum +Kobresia prainii +Kobresia prattii +Kobresia pusilla +Kobresia pygmaea var. filiculmis +Kobresia pygmaea var. pygmaea +Kobresia robusta +Kobresia royleana subsp. royleana +Kobresia royleana subsp. minshanica +Kobresia schoenoides +Kobresia setchwanensis +Kobresia stenocarpa +Kobresia tibetica +Kobresia trinervis +Kobresia tunicata +Kobresia vidua +Kobresia yadongensis +Kobresia yangii +Kobresia yushuensis +Kyllinga brevifolia +Kyllinga melanosperma +Kyllinga squamulata +Lipocarpha chinensis +Pycreus diaphanus +Pycreus flavidus +Pycreus lijiangensis +Pycreus sanguinolentus +Pycreus sulcinux +Pycreus unioloides +Schoenoplectus juncoides +Schoenoplectus mucronatus +Schoenoplectus subulatus +Schoenoplectus tabernaemontani +Schoenoplectus triqueter +Scirpus litoralis +Scirpus lushanensis +Scirpus maxitimus +Scirpus paniculato-corymbosus +Scirpus rosthornii +Scirpus trigueter +Scirpus wichurae +Scleria dulungensis +Scleria hookeriana +Scleria parvula +Scleria pergracilis +Scleria terrestris +Trichophorum distigmaticum +Trichophorum pumilum +Achnatherum acuminata +Achnatherum chingii var. chingii +Achnatherum chingii var. laxum +Achnatherum extremiorientale +Achnatherum inaequiglume +Achnatherum inebrians +Achnatherum jacquemontii +Achnatherum nakaii +Achnatherum pekinense +Achnatherum psilantherum +Achnatherum pubicalyx +Achnatherum saposhnikovii +Achnatherum sibiricum +Achnatherum splendens +Achnatherum wilsoniana +Acrachne racemosa +Aeluropus micrantherus +Aeluropus pungens +Agropyron cristatum var. cristatum +Agropyron cristatum var. pectinforme +Agropyron desertorum var. pilosiusculum +Agrostis aequilemma +Agrostis affinis +Agrostis brachiata +Agrostis canina +Agrostis capillaris +Agrostis clavata subsp. micrantha +Agrostis clavata var. clavata +Agrostis gigantea +Agrostis gongshanensis +Agrostis himalayana +Agrostis hookeriana +Agrostis hugoniana var. aristata +Agrostis hugoniana var. hugoniana +Agrostis kangdingensis +Agrostis kunmingensis +Agrostis limprichtii +Agrostis mackliniae +Agrostis micrantha +Agrostis munroana +Agrostis myriantha +Agrostis nagensis +Agrostis nervosa +Agrostis olympica +Agrostis pilosula +Agrostis riparia +Agrostis schneideri var. brevipes +Agrostis schneideri var. schneideri +Agrostis sikangensis +Agrostis sikkimensis +Agrostis sinocontracta +Agrostis sinorupestria +Agrostis stolonifera +Agrostis subaristata +Agrostis szechuanica +Agrostis taliensis +Agrostis vinealis +Alloteropsis semialata +Alopecurus aequalis +Alopecurus arundinaceus +Alopecurus brachystachyus +Alopecurus himalaicus +Andropogon daochenensis +Andropogon munroi +Anthoxanthum clarkei +Anthoxanthum glabrum +Anthoxanthum hookeri +Anthoxanthum khasiana +Anthoxanthum laxa +Anthoxanthum nitens +Anthoxanthum sikkimense +Anthoxanthum tibeticum +Apluda mutica +Apocopis paleaceus +Aristida adscensionis +Aristida alpina +Aristida brevissima +Aristida grandiglumis +Aristida maowenensis +Aristida nujiangensis +Aristida scabrescens +Aristida triseta +Aristida tsangpoensis +Arthraxon batangensis +Arthraxon hispidus var. hispidus +Arthraxon lancifolius +Arthraxon prionodes +Arundinaria faberi +Arundinella bangalensis +Arundinella bengalensis +Arundinella decempedalis +Arundinella grandiflora +Arundinella hirta var. hirta +Arundinella hookeri +Arundinella nepalensis +Arundinella nodosa +Arundinella setosa var. tengchongensis +Arundinella yunnanensis +Arundo donax +Arundo minor +Aulacolepis agrostoides +Aulacolepis treutleri +Avena fatua var. fatua +Avena fatua var. glabrata +Axonopus fissifolius +Bambusa teres +Beckmannia syzigachne +Bothriochloa bladhii var. bladhii +Bothriochloa bladhii var. punctata +Bothriochloa ischaemum +Brachiaria eruciformis +Brachiaria kurzii +Brachiaria subquadripara var. subquadripara +Brachiaria villosa var. villosa +Brachyelytrum altum +Brachypodium ponnatum +Brachypodium pratense +Brachypodium sylvaticum var. breviglume +Brachypodium sylvaticum var. gracile +Brachypodium sylvaticum var. sylvaticum +Briza media +Bromus danthoniae +Bromus epilis +Bromus gracillimus +Bromus himalaicus +Bromus inermis +Bromus japonicus +Bromus magnus +Bromus mairei +Bromus pectinatus +Bromus plurinodis +Bromus porphyranthos +Bromus pseudoramosus +Bromus remotiflorus +Bromus romusgrandis +Bromus sinensis var. minor +Bromus sinensis var. pilosiusculum +Bromus sinensis var. sinensis +Bromus sinensis var. staintonii +Bromus staintonii var. guoxunianus +Bromus staintonii var. staintonii +Bromus tectorum +Bromus xiaojinensis +Calamagrostis emodensis +Calamagrostis epigeios +Calamagrostis hedinii +Calamagrostis macrolepis +Calamagrostis pseudophragmites +Calamagrostis turkestanica +Capillipedium alpinum +Capillipedium assimile +Capillipedium maowenensis +Capillipedium parviflorum +Catabrosa aquatica var. angusta +Catabrosa aquatica var. aquatica +Catabrosa capusii +Centotheca lappacea +Cephalostachyum latifolium +Cephalostachyum pallidum +Cephalostachyum pergracile +Chimonobambusa armata +Chimonobambusa metuoensis +Chimonobambusa purpurea +Chimonobambusa quadrangularis +Chloris pycnothrix +Chloris virgata +Chrysopogon gryllus +Cleistogenes hackelii var. hackelii +Cleistogenes minjiangensis +Cleistogenes mucronata +Cleistogenes pilipes +Cleistogenes songorica +Cleistogenes squarrosa +Colpodium tibeticum +Cymbopogon distans +Cymbopogon hookeri +Cymbopogon jwarancusa subsp. jwarancusa +Cymbopogon jwarancusa subsp. olivieri +Cymbopogon lanceifolius +Cymbopogon liangshanensis +Cymbopogon martinii +Cymbopogon pospischilii +Cymbopogon scabrescens +Cymbopogon tibeticus +Cymbopogon tungmaiensis +Cynodon dactylon +Cyrtococcum patens var. latifolium +Cyrtococcum patens var. patens +Dactylis glomerata var. glomerata +Dactylis glomerata var. himalayensis +Danthonia cachemyriana +Danthonia cumminsii +Dendrocalamus fugongensis +Dendrocalamus mianningensis +Dendrocalamus parishii +Dendrocalamus tibeticus +Deschampsia cespitosa subsp. cespitosa +Deschampsia cespitosa subsp. ivanovae +Deschampsia cespitosa subsp. orientalis +Deschampsia cespitosa subsp. pamirica +Deschampsia koelerioides +Deyeuxia abnormis +Deyeuxia anthoxanthoides +Deyeuxia compacta +Deyeuxia conferta +Deyeuxia diffusa +Deyeuxia effusiflora +Deyeuxia flaccida +Deyeuxia flavens +Deyeuxia ganziensis +Deyeuxia hakonensis +Deyeuxia himalaica +Deyeuxia holciformis +Deyeuxia kokonorica +Deyeuxia lapponica +Deyeuxia macilenta +Deyeuxia mazzettii +Deyeuxia moupinensis +Deyeuxia neglecta +Deyeuxia nepalensis +Deyeuxia nivicola +Deyeuxia nyingchiensis +Deyeuxia petelotii +Deyeuxia pulchella var. laxa +Deyeuxia pulchella var. pulchella +Deyeuxia purpurea +Deyeuxia pyramidalis +Deyeuxia rosea +Deyeuxia scabrescens +Deyeuxia sinelatior +Deyeuxia tianschanica +Deyeuxia tibetica var. przevalskyi +Deyeuxia tibetica var. tibetica +Deyeuxia triplifera +Deyeuxia yanyuanensis +Deyeuxia zangxiensis +Dichanthium annulatum +Dichanthium caricosum +Digitaria ciliaris var. chrysoblephara +Digitaria cruciata +Digitaria fibrosa +Digitaria hengduanensis +Digitaria ischaemum +Digitaria longiflora +Digitaria sanguinalis +Digitaria setigera +Digitaria stewartiana +Digitaria stricta var. denudata +Digitaria stricta var. stricta +Digitaria ternata +Digitaria violascens +Duthiea brachypodium +Duthiea cedaensis +Echinochloa crusgalli +Eleusine indica +Elymus atratus +Elymus barystachyus +Elymus breviaristatus +Elymus cacuminis +Elymus dahuricus var. cylindricus +Elymus dahuricus var. dahuricus +Elymus dahuricus var. violeus +Elymus dahuricus var. xiningensis +Elymus excelsus +Elymus geminata +Elymus magnipodus +Elymus nutans +Elymus retroflexus +Elymus shouliangiae +Elymus sibiricus +Elymus sinosubmuticus +Elymus tangutorum +Elymus ternatus +Elymus tschimganicus var. glabrispiculus +Elymus tschimganicus var. tschimganicus +Elymus tschimganicus var. variiglumis +Elymus villifer +Elymus yangiae +Elymus yushuensis +Elytrigia alatavica +Elytrigia repens subsp. longearistata +Elytrigia repens subsp. repens +Enneapogon brachystachyus +Enteropogon yunnanensis +Eragrostis atrovirens +Eragrostis brownii +Eragrostis cilianensis +Eragrostis collina +Eragrostis curvula +Eragrostis ferruginea +Eragrostis japonica +Eragrostis ludingensis +Eragrostis minor +Eragrostis nigra +Eragrostis nutans +Eragrostis pilosa +Eragrostis unioloides +Eremopyrum orientale +Eulalia hirtifolia +Eulalia mollis +Eulalia pallens +Eulalia phaeothrix +Eulalia quadrinervis +Eulalia siamensis var. latifolia +Eulalia siamensis var. siamensis +Eulalia speciosa +Eulaliopsis binata +Fargesia acuticontracta +Fargesia adpressa +Fargesia albocerea +Fargesia angustissima +Yushania brevipaniculata +Fargesia canaliculata +Fargesia communis +Yushania confusa +Fargesia contracta f. contracta +Yushania crispata +Fargesia declivis +Fargesia dura +Fargesia edulis +Fargesia emaculata +Fargesia extensa +Yushania farcticaulis +Fargesia ferax +Fargesia fractiflexa +Fargesia frigida +Fargesia glabrifolia +Fargesia gongshanensis +Fargesia grossa +Fargesia jiulongensis +Fargesia longissima +Fargesia lushuinensis +Fargesia macclureana +Fargesia melanostachys +Fargesia nitida +Fargesia orbiculata +Fargesia papyrifera +Fargesia pleniculmis +Fargesia praecipua +Fargesia robusta +Fargesia sagittatinea +Fargesia semiorbiculata +Fargesia spathacea +Fargesia sylvestris +Yushania violascens +Yushania weixiensis +Fargesia yulongshanensis +Fargesia yunnanensis +Fargesia zayuensis +Festuca alatavica +Festuca amblyodes +Festuca batangensis +Festuca brachyphylla +Festuca changduensis +Festuca chayuensis +Festuca coelestis +Festuca dahurica +Festuca dolichantha +Festuca eryuanensis +Festuca extremiorientalis +Festuca fascinata +Festuca forrestii +Festuca gigantea +Festuca japonica +Festuca kansuensis +Festuca kashmiriana +Festuca kirilovii +Festuca kryloviana +Festuca leptopogon +Festuca litvinovii +Festuca modesta +Festuca nitidula +Festuca ovina subsp. ovina +Festuca ovina subsp. sphagnicola +Festuca pamirica +Festuca parvigluma +Festuca rubra subsp. arctica +Festuca rubra subsp. clarkei +Festuca rubra subsp. rubra +Festuca scabriflora +Festuca sinensis +Festuca stapfi +Festuca tristis +Festuca undata +Festuca valesiaca subsp. pseudovina +Festuca valesiaca subsp. sulcata +Festuca valesiaca subsp. valesiaca +Festuca weixiensis +Festuca yunnanensis var. villosa +Festuca yunnanensis var. yunnanensis +Garnotia acutigluma +Garnotia stricta +Glyceria maxima +Glyceria tonglensis +Harpachne harpachnoides +Helictotrichon altius +Helictotrichon delavayi +Helictotrichon hookeri +Helictotrichon junghuhnii +Helictotrichon leianthum +Helictotrichon ludingicum +Helictotrichon markangicum +Helictotrichon schmidii +Helictotrichon tibeticum +Hemarthria sibirica +Heteropogon contortus +Himalayacalamus collaris +Hordeum agriocrithon +Hordeum bogdanii +Hordeum brevisubulatum subsp. turkestanicum +Hordeum duthiei +Hordeum innermongolicum +Hordeum lagunculiforme +Hordeum roshevitzii +Hordeum spontaneum var. ischnatherum +Hordeum spontaneum var. proskowetzii +Hordeum spontaneum var. spontaneum +Hymenachne amplexicaulis +Hymenachne assamica +Hystrix duthie +Ichnanthus pallens +Imperata cylindrica +Indocalamus longiauritus var. longiauritus +Isachne albens +Isachne clarkei +Isachne globosa +Isachne himalaica +Isachne scabrosa +Isachne sikkimensis +Ischaemum rugosum +Kengyilia grandiglumis +Kengyilia hirsuta var. hirsuta +Kengyilia hirsuta var. variabilis +Kengyilia kaschgarica +Kengyilia kokonorica +Kengyilia laxiflora +Kengyilia melanthera var. melanthera +Kengyilia melanthera var. tahopaica +Kengyilia mutica +Kengyilia rigidula +Kengyilia stenachyra +Kengyilia thoroldiana var. thoroldiana +Kengyilia tyoroldiana var. laxiuscula +Koeleria batalinii +Koeleria cristata var. cristata +Koeleria cristata var. nepalensis +Koeleria cristata var. poiformis +Koeleria litvinowii var. litvinowii +Koeleria litvinowii var. tafelii +Leersia japonica +Leptochloa panicea +Leucopoa olgae +Leymus angustus +Leymus chinensis +Leymus crassiusculus +Leymus flexus +Leymus leptostachyus +Leymus mundus +Leymus ovatus +Leymus paboanus var. paboanus +Leymus paboanus var. viviparus +Leymus pseudoracemosus +Leymus pishanica +Leymus ramosus +Leymus ruoqiangensis +Leymus secalinus var. secalinus +Leymus secalinus var. pubescens +Leymus secalinus var. qinghaicus +Leymus spiniformis +Littledalea major +Littledalea przevalskyi +Littledalea racemosa +Littledalea tibetica +Lolium persicum +Lolium temulentum +Melica dawuica +Melica kozlovii +Melica longiligulata +Melica onoei +Melica persica subsp. canescens +Melica przewalskyi +Melica radula +Melica scaberrima +Melica scabrosa +Melica schuetzeana +Melica secunda +Melica subflava +Melica tangutorum +Melica taylori +Melica taylorii +Melica virgata +Melocalamus elevatissimus +Microchloa fibrosa +Microchloa indica var. indica +Microchloa indica var. kunthii +Microstegium ciliatum +Microstegium nudum +Microstegium vimineum +Milium effusum +Miscanthus aristidus +Miscanthus corymbosus +Miscanthus nepalensis +Miscanthus nudipes +Miscanthus ramosus +Miscanthus taylorii +Miscanthus tibeticus +Miscanthus wardii +Mnesithea striata var. pubescens +Muhlenbergia himalayensis +Muhlenbergia hueglii +Neomicrocalamus microphyllus +Neomicrocalamus prainii +Neyraudia reynaudiana +Oplismenus compositus var. compositus +Oplismenus compositus var. owatarii +Oplismenus undulatifolius +Orinus kokonorica +Orinus thoroldii +Orinus tibetica +Orthoraphium roylei +Panicum bisulcatum +Panicum elegantissimum +Panicum khasianum +Panicum maximum +Panicum sumatrense +Paspalum delavayi +Paspalum scrobiculatum var. orbiculare +Paspalum thunbergii +Pennisetum alopecuroides +Pennisetum flaccidum var. flaccidum +Pennisetum flaccidum var. qinghaiensis +Pennisetum hohenackeri +Pennisetum jinchuanense +Pennisetum lanatum +Pennisetum longissimum +Pennisetum shaanxiense +Perotis hordeiformis +Phaenosperma globosa +Phaenosperma ludingensis +Phalaris arundinacea +Phleum alpinum +Phleum paniculatum +Phleum pratense +Phragmites australis +Phragmites karka var. karka +Phragmites karka var. maowenensis +Phragmites karka var. muliensis +Phragmites karka var. nanpingensis +Phragmites karka var. oligostachys +Phragmites karka var. orinosa +Phragmites karka var. xiaojinensis +Phyllostachys arcana +Phyllostachys heteroclada +Phyllostachys nidularia +Phyllostachys reticulata +Piptatherum acuta +Piptatherum aequiglume var. aequiglume +Piptatherum dajingensis +Piptatherum fasciculata +Piptatherum gracile +Piptatherum grandispiculum +Piptatherum henryi +Piptatherum hilariae +Piptatherum laterale +Piptatherum munroi +Piptatherum tibeticum var. psilolepis +Piptatherum tibeticum var. tibeticum +Poa acroleuca +Poa albertii subsp. albertii +Poa albertii subsp. kunlunensis +Poa albertii subsp. lahulensis +Poa albertii subsp. poophagorum +Poa alpina +Poa alta +Poa angustifolia subsp. laxuispicula +Poa annua +Poa araratica subsp. araratica +Poa araratica subsp. ianthina +Poa araratica subsp. oligophylla +Poa araratica subsp. psilolepis +Poa arctica subsp. caespitans +Poa asperifolia +Poa attenuata var. attenuata +Poa attenuata var. dahurica +Poa attenuata var. vivipara +Poa binodis +Poa bomiensis +Poa bulbosa var. bulbosa +Poa dzongicola +Poa faberi var. faberi +Poa faberi var. longifolia +Poa festucoides var. festucoides +Poa festucoides var. kunlunensis +Poa glauca subsp. altaica +Poa glauca subsp. glauca +Poa grandis +Poa himalayana +Poa hirtiglumis var. nimuana +Poa hisauchii +Poa hylobates +Poa infirma +Poa khasiana +Poa lapponica subsp. acmocalyx +Poa lapponica subsp. pilipes +Poa lipskyi +Poa lithiphila +Poa litwinowiana +Poa macroanthera +Poa mairei +Poa nemoraliformis +Poa nemoralis +Poa nepalensis var. nepalensis +Poa nepalensis var. nipponica +Poa nubigena +Poa pagophila +Poa palustris +Poa parvissima +Poa perennis +Poa polycolea +Poa polyneuron +Poa pratensis subsp. alpigena +Poa pratensis subsp. angustifolia +Poa pratensis subsp. pratensis +Poa pratensis subsp. pruinosa +Poa pratensis subsp. staintonii +Poa pratensis subsp. stenachyra +Poa pseudo-palustris +Poa qinghaiensis +Poa rangkulensis +Poa sibirica +Poa sichotensis +Poa sikkimensis +Poa smirnowii subsp. mariae +Poa sphondylodes var. erikssonii +Poa sphondylodes var. sphondylodes +Poa sphondylodes var. subtrivialis +Poa subfastiana +Poa supina +Poa szechuensis var. debilior +Poa szechuensis var. rossbergiana +Poa szechuensis var. szechuensis +Poa tangii +Poa tibetica +Poa trivialiformis +Poa trivialis subsp. sylvicola +Poa trivialis subsp. trivialis +Poa urssulensis var. kanboensis +Poa urssulensis var. urssulensis +Poa versicolor subsp. orinosa +Poa versicolor subsp. relaxa +Poa versicolor subsp. stepposa +Poa versicolor subsp. varia +Poa versicolor subsp. versicolor +Poa zhongdianensis +Pogonatherum crinitum +Polypogon fugax +Polypogon maritimus +Polypogon monspeliensis +Polypogon viridis +Psammochloa villosa +Psathyrostachys kronenburgii +Pseudechinolaena polystachya +Ptilagrostis concinna +Ptilagrostis dichotoma +Ptilagrostis junatovii +Ptilagrostis luquensis +Ptilagrostis mongholica +Ptilagrostis pelliotii +Puccinellia altaica +Puccinellia arjinshanensis +Puccinellia degeensis +Puccinellia diffusa +Puccinellia distans +Puccinellia dolicholepis +Puccinellia hackeliana +Puccinellia hauptiana +Puccinellia himalaica +Puccinellia humilis +Puccinellia kashmiriana +Puccinellia leiolepis +Puccinellia micrandra +Puccinellia minuta +Puccinellia multiflora +Puccinellia nudiflora +Puccinellia pamirica +Puccinellia roborovskyi +Puccinellia roshevitsiana +Puccinellia schischkinii +Puccinellia shuanghuensis +Puccinellia stapfiana +Puccinellia tenuiflora +Puccinellia thomsonii +Puccinellia tianschanica +Racemobambos microphylla +Roegneria alashanica var. elytrigioides +Roegneria alatavicus +Roegneria altissima +Roegneria anthosachnoides var. anthosachnoides +Roegneria anthosachnoides var. scabrilemmatus +Roegneria aristiglumis var. aristiglumis +Roegneria aristiglumis var. hirsuta +Roegneria aristiglumis var. leiantha +Roegneria barbicalla var. barbicalla +Roegneria batalinii +Roegneria breviglumis var. breviglumis +Roegneria breviglumis var. brevipes +Roegneria caesifolius +Roegneria calcicola +Roegneria ciliaris +Roegneria dolichathera +Roegneria dura +Roegneria glaberrima +Roegneria gmelinii +Roegneria hondai +Roegneria humilis +Roegneria hybrida +Roegneria jacquemontii +Roegneria kamoji +Roegneria lancangensis +Roegneria laxiflora +Roegneria leiantha +Roegneria leiotropis +Roegneria longearistata var. canaliculata +Roegneria markamensis +Roegneria minor +Roegneria multiculmis +Roegneria nutans +Roegneria parvigluma +Roegneria pendulina var. pendulina +Roegneria pendulina var. pubinodis +Roegneria pubicaulis +Roegneria purpurascens +Roegneria schrenkiana +Roegneria sinica +Roegneria stricta +Roegneria sylvatica +Roegneria thoroldiana var. laxiuscula +Roegneria thoroldiana var. thoroldiana +Roegneria tianschanica +Roegneria tibetica +Roegneria trichospicula +Roegneria varia +Rottboellia cochinchinensis +Saccharum arundinaceum +Saccharum longesetosum +Saccharum ravennae +Saccharum rufipilum +Saccharum spontaneum +Sacciolepis indica +Sacciolepis interrupta +Sacciolepis myosuroides +Schismus arabicus +Schismus barbatus +Schizachne hengduanense +Schizachne purpurascens subsp. callosa +Schizachyrium delavayi +Schizachyrium sanguineum +Setaria forbesiana +Setaria glauca +Setaria intermedia +Setaria pallidifusca +Setaria palmifolia +Setaria plicata +Setaria viridis subsp. pycnocoma +Setaria viridis subsp. viridis +Setaria yunnanensis +Sinochasea trigyna +Sorghum nitidum +Sorghum propinquum +Spodiopogon cotulifer +Spodiopogon ludingensis +Spodiopogon monostachys +Spodiopogon sibiricus var. grandiflorus +Spodiopogon sibiricus var. sibiricus +Spodiopogon tainanensis +Sporobolus diandrus +Sporobolus fertilis +Stephanachne monandra +Stephanachne nigrescens +Stephanachne pappophorea +Stipa aliena +Stipa baicalensis +Stipa breviflora +Stipa bungeana +Stipa capillacea var. capillacea +Stipa capillacea var. parviflora +Stipa capillata +Stipa caucasica subsp. caucasica +Stipa grandis +Stipa himalaica +Stipa orientalis +Stipa penicillata var. hirsuta +Stipa penicillata var. penicillata +Stipa przewalskyi +Stipa purpurea +Stipa regeliana +Stipa richteriana +Stipa roborowskyi +Stipa sareptana var. krylovii +Stipa subsessiliflora +Stipa tianschanica var. gobica +Stipa tianschanica var. tianschanica +Tenacistachya sichuanensis +Thamnocalamus spathiflorus var. spathiflorus +Themeda anathera +Themeda caudata +Themeda hookeri +Themeda minor +Themeda triandra +Themeda villosa +Thysanolaena latifolia +Tragus berteronianus +Tragus mongolorum +Trikeraia hookeri var. hookeri +Trikeraia hookeri var. ramosa +Trikeraia pappiformis +Tripogon chinensis +Tripogon filiformis +Tripogon purpurascens +Tripogon sichuanicus +Tripogon trifidus +Trisetum aeneum +Trisetum agrostideum +Trisetum altaicum +Trisetum bifidum +Trisetum clarkei +Trisetum kangdingense +Trisetum micans +Trisetum niglangensis +Trisetum scitulum +Trisetum sibircum +Trisetum spicatum subsp. alaskanum +Trisetum spicatum subsp. mongolicum +Trisetum spicatum subsp. spicatum +Trisetum spicatum subsp. tibeticum +Trisetum spicatum subsp. virescens +Urochloa reptans +Vulpia myuros +Yushania yadongensis +Ceratophyllum demersum +Euptelea pleiospermum +Chelidonium majus +Corydalis acropteryx +Corydalis adiantifolia +Corydalis adoxifolia +Corydalis adunca +Corydalis appendiculata +Corydalis atuntsuensis +Corydalis balsamiflora +Corydalis barbisepala +Corydalis benecincta +Corydalis bijiangensis +Corydalis bimaculata +Corydalis binderae subsp. binderae +Corydalis brevirostrata subsp. tibetica +Corydalis brunneovaginata +Corydalis bulbifera +Corydalis bulleyana +Corydalis calcicola +Corydalis cashmeriana var. cashmeriana +Corydalis casimiriana subsp. brachycarpa +Corydalis cavei +Corydalis chamdoensis +Corydalis cheirifolia +Corydalis chrysosphaera +Corydalis conspersa +Corydalis cornuta +Corydalis corymbosa +Corydalis crispa subsp. crispa +Corydalis crispa subsp. laeviangula +Corydalis crista-galli var. crista-galli +Corydalis crista-galli var. pseudoflaccidus +Corydalis curviflora var. curviflora +Corydalis curviflora var. rothornii +Corydalis cytisiflora subsp. cytisiflora +Corydalis cytisiflora subsp. minuticristata +Corydalis cytisiflora subsp. pseudosmithii +Corydalis dajingensis +Corydalis dasyptera +Corydalis davidii +Corydalis degensis +Corydalis delavayi +Corydalis delphinioides +Corydalis densispica +Corydalis dorjii +Corydalis dubia +Corydalis ecristata +Corydalis edulis +Corydalis elata subsp. elata +Corydalis ellipticarpa +Corydalis eugeniae +Corydalis filisecta +Corydalis flaccida +Corydalis foetida +Corydalis franchetiana +Corydalis glaucescens +Corydalis glycyphyllos +Corydalis govaniana +Corydalis gracillima +Corydalis grandiflora +Corydalis hamata +Corydalis hebephylla var. hebephylla +Corydalis hemidicentra +Corydalis hendersonii var. altocristata +Corydalis hendersonii var. hendersonii +Corydalis hepaticifolia +Corydalis heterocentra +Corydalis hookeri +Corydalis humicola +Corydalis inopinata +Corydalis jigmei +Corydalis juncea +Corydalis kingdonis +Corydalis kingii +Corydalis kokiana +Corydalis laelia +Corydalis lathyrophylla +Corydalis latiflora +Corydalis latiloba var. tibetica +Corydalis laucheana +Corydalis lhasaensis +Corydalis lhorongensis +Corydalis linarioides +Corydalis linstowiana +Corydalis livida var. denticulatocristata +Corydalis livida var. livida +Corydalis longibracteata +Corydalis longipes +Corydalis lopinensis +Corydalis ludlowii +Corydalis lupinoides +Corydalis mayae +Corydalis meifolia var. meifolia +Corydalis meifolia var. sikkimensis +Corydalis melanochlora +Corydalis minutiflora +Corydalis mira +Corydalis moorcroftiana +Corydalis mucronifera +Corydalis muliensis +Corydalis nemoralis +Corydalis nigroapiculata +Corydalis oligosperma +Corydalis ophiocarpa +Corydalis oxypetala subsp. balfouriana +Corydalis oxypetala subsp. oxypetala +Corydalis pachypoda +Corydalis petrophila +Corydalis polygalina +Corydalis polyphylla +Corydalis porphyrantha +Corydalis potaninii +Corydalis prattii +Corydalis pseudoadoxa +Corydalis pseudobarbisepala +Corydalis pseudocristata +Corydalis pseudodrakeana +Corydalis pseudofluminicola +Corydalis pseudoimpatiens +Corydalis pseudojuncea +Corydalis pterygopetala +Corydalis pubicaulis +Corydalis pygmaea +Corydalis quantmeyeriana +Corydalis quinquefoliolata +Corydalis retingensis +Corydalis rheinbabeniana +Corydalis scaberula +Corydalis sherriffii +Corydalis spathulata +Corydalis stracheyi var. ecristata +Corydalis stracheyi var. stracheyi +Corydalis straminea +Corydalis stricta +Corydalis temolana +Corydalis tenuicalcarata var. tenuicalcarata +Corydalis thyrsiflora +Corydalis tianzhuensis +Corydalis tibetoalpina +Corydalis tibeto-oppositifolia +Corydalis tongolensis +Corydalis trachycarpa +Corydalis trifoliata +Corydalis tsayulensis +Corydalis urbaniana +Corydalis wuzhengyiana +Corydalis yargongensis +Corydalis yunnanensis var. megalantha +Corydalis yunnanensis var. yunnanensis +Corydalis zadoiensis +Dactylicapnos lichiangensis +Dactylicapnos roylei +Dactylicapnos scandens +Dactylicapnos torulosa +Dicentra spectabilis +Dicranostigma lactucoides +Dicranostigma leptopodum +Dicranostigma platycarpum +Esmeralda bella +Hypecoum erectum +Hypecoum leptocarpum +Ichtyoselmis macrantha +Meconopsis aculeata +Meconopsis argemonantha +Meconopsis barbiseta +Meconopsis betonicifolia +Meconopsis chelidoniifolia +Meconopsis concinna +Meconopsis delavayi +Meconopsis discigera +Meconopsis florindae +Meconopsis forrestii +Meconopsis gracilipes +Meconopsis grandis +Meconopsis horridula +Meconopsis impedita +Meconopsis integrifolia +Meconopsis lancifolia +Meconopsis lyrata +Meconopsis paniculata +Meconopsis pinnatifolia +Meconopsis primulina +Meconopsis pseudohorridula +Meconopsis pseudovenusta +Meconopsis punicea +Meconopsis quintuplinervia +Meconopsis racemosa var. racemosa +Meconopsis racemosa var. spinulifera +Meconopsis simplicifolia +Meconopsis smithiana +Meconopsis speciosa +Meconopsis superba +Meconopsis torquata +Meconopsis venusta +Meconopsis violacea +Meconopsis zangnanensis +Papaver canescens +Papaver nudicaule +Papaver rhoeas +Papaver somniferum +Circaeaster agrestis +Decaisnea insignis +Holboellia angustifolia subsp. angustifolia +Holboellia latifolia var. latifolia +Holboellia medogensis +Stauntonia libera +Cissampelos pareira var. hirsuta +Cocculus laurifolius +Cocculus orbiculatus var. mollis +Cocculus orbiculatus var. orbiculatum +Cyclea racemosa +Parabaena sagittata +Sinomenium acutum +Stephania brachyandra +Stephania brevipedunculata +Stephania delavayi +Stephania epigaea +Stephania glabra +Stephania glandulifera +Stephania gracilenta +Stephania japonica var. discolor +Stephania subpeltata +Tinospora sinensis +Berberis aggregata +Berberis agricola +Berberis ambrozyana +Berberis amoena +Berberis amurensis +Berberis angulosa +Berberis approximata +Berberis asmyana +Berberis brachypoda +Berberis bracteata +Berberis buchananii +Berberis calcipratorum +Berberis calliantha +Berberis campylotropa +Berberis chrysosphaera +Berberis circumserrata +Berberis concinna +Berberis concolor +Berberis dasystachya +Berberis dawoensis +Berberis delavayi +Berberis diaphana +Berberis dictyoneura +Berberis dictyophylla var. campylogyna +Berberis dictyophylla var. dictyophylla +Berberis dictyophylla var. epruinosa +Berberis dubia +Berberis tischleri +Berberis erythroclada var. erythroclada +Berberis erythroclada var. trulongensis +Berberis everestiana +Berberis fallax +Berberis feddeana +Berberis forrestii +Berberis franchetiana +Berberis francisci-ferdinandi +Berberis jaeschkeana var. bimbilaica +Berberis gagnepainii +Berberis gilungensis +Berberis griffithiana +Berberis grodtmannia +Berberis gyalaica var. gyalaica +Berberis gyalaica var. minuta +Berberis hemsleyana +Berberis heteropoda +Berberis hobsonii +Berberis humidoumbrosa var. humidoumbrosa +Berberis humidoumbrosa var. inornata +Berberis hypericifolia +Berberis ignorata +Berberis iliensis +Berberis insignis +Berberis jamesiana +Berberis johannis +Berberis kansuensis +Berberis kartanica +Berberis kaschgarica +Berberis kongboensis +Berberis leptodonta +Berberis levis +Berberis longispina +Berberis ludlowii var. ludlowii +Berberis mekongensis +Berberis minutiflora +Berberis mouillacana +Berberis muliensis var. atuntzeana +Berberis muliensis var. muliensis +Berberis multicaulis +Berberis multiserrata +Berberis nullinervis +Berberis obovatifolia +Berberis orthobotrys var. rupestris +Berberis papillifera +Berberis parapruinosa +Berberis platyphylla +Berberis poiretii +Berberis polyantha +Berberis potaninii +Berberis pruinosa var. barresiana +Berberis pruinosa var. pruinosa +Berberis pulangensis +Berberis purdomii +Berberis racemulosa +Berberis sabulicola +Berberis sanguinea +Berberis sherriffii +Berberis sikkimensis +Berberis taronensis +Berberis taylorii +Berberis temolaica +Berberis trichiata +Berberis tsangpoensis +Berberis tsarica +Berberis tsarongensis +Berberis ulicina +Berberis umbratica +Berberis vernae +Berberis verruculosa +Berberis vinifera +Berberis virescens +Berberis wilsoniae var. guhtzunica +Berberis wilsoniae var. wilsoniae +Berberis xanthophlaea +Berberis yunnanensis +Berberis zayulana +Caulophyllum robustum +Diphylleia sinensis +Dysosma aurantiocaulis +Dysosma delavayi +Dysosma tsayuensis +Epimedium brevicornu +Epimedium davidii +Epimedium platypetalum +Mahonia bealei +Mahonia bracteolata +Mahonia calamicaulis subsp. calamicaulis +Mahonia calamicaulis subsp. kingdon-wardina +Mahonia monyulensis +Mahonia napaulensis +Mahonia polyodonta +Mahonia taronensis +Sinopodophyllum hexandrum +Aconitum abietetorum +Aconitum acutiusculum var. acutiusculum +Aconitum acutiusculum var. aureopilosum +Aconitum alboflavidum +Aconitum alpinonepalense +Aconitum brachypodum var. brachypodum +Aconitum brachypodum var. laxiflorum +Aconitum bracteolatum +Aconitum bracteolosum +Aconitum brevicalcaratum var. brevicalcaratum +Aconitum brevicalcaratum var. parviflorum +Aconitum brevilimbum +Aconitum brevipetalum +Aconitum brunneum +Aconitum campylorrhynchum +Aconitum changianum +Aconitum chasmanthum +Aconitum chiachaense var. chiachaense +Aconitum chiachaense var. glandulosum +Aconitum chienningense var. chienningense +Aconitum chienningense var. lasiocarpum +Aconitum chilienshanicum +Aconitum chrysotrichum +Aconitum chuianum +Aconitum chuosjiaense +Aconitum coriaceifolium +Aconitum coriophyllum +Aconitum crassicaule +Aconitum crassiflorum +Aconitum creagromorphum +Aconitum delavayi +Aconitum dolichorhynchum +Aconitum dolichostachyum +Aconitum duclouxii +Aconitum elliotii var. doshongense +Aconitum elliotii var. elliotii +Aconitum elliotii var. glabrescens +Aconitum elliotii var. pilopetalum +Aconitum elwesii +Aconitum episcopale var. villosulipes +Aconitum falciforme +Aconitum fangianum +Aconitum flavum +Aconitum fletcheranum +Aconitum forrestii var. albovillosum +Aconitum forrestii var. forrestii +Aconitum franchetii var. franchetii +Aconitum franchetii var. geniculatum +Aconitum gammiei +Aconitum geniculatum var. humilius +Aconitum georgei +Aconitum gezaense +Aconitum glabrisepalum +Aconitum gymnandrum +Aconitum habaense +Aconitum hamatipetalum +Aconitum handelianum var. handelianum +Aconitum hemsleyanum var. circinatum +Aconitum hemsleyanum var. elongatum +Aconitum hemsleyanum var. hsiae +Aconitum hemsleyanum var. lasianthum +Aconitum hemsleyanum var. pilopetalum +Aconitum hemsleyanum var. puberulum +Aconitum hemsleyanum var. unguiculatum +Aconitum hemsleyanum var. xizangense +Aconitum henryi var. pilocarpum +Aconitum incisofidum +Aconitum iochanicum +Aconitum jilongense +Aconitum jiulongense +Aconitum kongboense var. kongboense +Aconitum kongboense var. polycarpum +Aconitum kongboense var. villosum +Aconitum kungshanense +Aconitum laevicaule +Aconitum legendrei +Aconitum leiostachyum +Aconitum leiwuqiense +Aconitum lihsienense +Aconitum liljestrandii var. falcatum +Aconitum liljestrandii var. liljestrandii +Aconitum lobulatum +Aconitum longilobum +Aconitum longipedicellatum +Aconitum longipetiolatum +Aconitum longiramosum +Aconitum ludlowii +Aconitum luningense +Aconitum maowenense +Aconitum milinense +Aconitum nagarum var. heterotrichum +Aconitum nagarum var. nagarum +Aconitum naviculare +Aconitum nielamuense +Aconitum nutantiflorum +Aconitum ouvrardianum +Aconitum pendulicarpum var. circinatum +Aconitum pendulicarpum var. pendulicarpum +Aconitum pendulum +Aconitum phyllostegium var. phyllostegium +Aconitum phyllostegium var. pilosum +Aconitum piepunense var. piepunense +Aconitum pilopetalum +Aconitum polyanthum var. polyanthum +Aconitum polyanthum var. puberulum +Aconitum polycarpum +Aconitum polyschistum +Aconitum pomeense +Aconitum potaninii +Aconitum prominens +Aconitum pseudobrunneum +Aconitum pseudodivaricatum +Aconitum pseudogeniculatum +Aconitum pseudokongboense +Aconitum pseudostapfianum +Aconitum pulchellum var. hispidum +Aconitum pulchellum var. pulchellum +Aconitum pulchellum var. racemosum +Aconitum pycnanthum +Aconitum ramulosum +Aconitum refracticarpum +Aconitum refractum +Aconitum richardsonianum var. pseudosessiliflorum +Aconitum richardsonianum var. richardsonianum +Aconitum rockii var. fengii +Aconitum rockii var. rockii +Aconitum scaposum var. hupehanum +Aconitum secundiflorum +Aconitum sessiliflorum +Aconitum sinoaxillare +Aconitum sinomontanum var. pilocarpum +Aconitum sinomontanum var. sinomontanum +Aconitum sinonapelloides var. sinonapelloides +Aconitum sinonapelloides var. subulatum +Aconitum sinonapelloides var. weisiense +Aconitum souliei +Aconitum spathulatum +Aconitum spicatum +Aconitum spiripetalum +Aconitum stapfianum +Aconitum stramineiflorum +Aconitum stylosoides +Aconitum stylosum var. geniculatum +Aconitum stylosum var. stylosum +Aconitum sungpanense +Aconitum tangense +Aconitum tanguticum var. tanguticum +Aconitum tanguticum var. trichocarpum +Aconitum taronense +Aconitum tatsienense var. divaricatum +Aconitum tatsienense var. tatsienense +Aconitum tenuicaule +Aconitum tongolense +Aconitum transsectum +Aconitum tsaii var. puberulum +Aconitum tsaii var. tsaii +Aconitum validinerve +Aconitum vilmorinianum var. patentipilum +Aconitum wardii var. trisectum +Aconitum wardii var. wardii +Aconitum weixiense +Aconitum xiangchengense +Aconitum yachiangense +Aconitum yangii var. villosulum +Aconitum yangii var. yangii +Aconitum yanyuanense +Actaea asiatica +Adonis aestivalis var. parviflora +Adonis bobroviana +Adonis coerulea +Adonis davidii +Adonis sutchuenensis +Anemoclema glaucifolium +Anemone baicalensis +Anemone begoniifolia +Anemone coelestina var. linearis +Anemone davidii +Anemone delavayi +Anemone demissa var. demissa +Anemone demissa var. major +Anemone demissa var. villosissima +Anemone demissa var. yunnanensis +Anemone exigua +Anemone flaccida +Anemone gortschakowii +Anemone griffithii +Anemone hupehensis +Anemone imbricata +Anemone multilobulata +Anemone nutantiflora +Anemone obtusiloba subsp. leiophylla +Anemone obtusiloba subsp. obtusiloba +Anemone patula var. minor +Anemone patula var. patula +Anemone polycarpa +Anemone prattii +Anemone rivularis var. flore-minore +Anemone rivularis var. rivularis +Anemone robusta +Anemone rupestris subsp. gelida +Anemone rupestris subsp. rupestris +Anemone rupicola +Anemone scabriuscula +Anemone smithiana +Anemone subindivisa +Anemone subpinnata +Anemone tetrasepala +Anemone tibetica +Anemone tomentosa +Anemone trullifolia var. coelestina +Anemone trullifolia var. lutienensis +Anemone trullifolia var. trullifolia +Anemone vitifolia +Aquilegia ecalcarata +Aquilegia moorcroftiana +Aquilegia oxysepala var. kansuensis +Aquilegia rockii +Aquilegia viridiflora +Asteropyrum peltatum +Batrachium bungei var. bungei +Batrachium bungei var. flavidum +Beesia calthifolia +Beesia deltophylla +Calathodes oxycarpa +Calathodes palmata +Callianthemum alatavicum +Callianthemum farreri +Callianthemum pimpinelloides +Caltha palustris var. himalaica +Caltha palustris var. palustris +Caltha palustris var. umbrosa +Caltha scaposa +Caltha sinogracilis +Cimicifuga foetida var. bifida +Cimicifuga foetida var. foetida +Cimicifuga foetida var. foliolosa +Cimicifuga simplex +Cimicifuga yunnanensis +Clematis acuminata +Clematis aethusifolia +Clematis akebioides +Clematis alternata +Clematis apiifolia var. argentilucida +Clematis argentilucida var. grandidentata +Clematis argentilucida var. likiangensis +Clematis armandii +Clematis barbellata var. obtusa +Clematis brevicaudata +Clematis buchananiana +Clematis caudigera +Clematis chrysocoma +Clematis connata var. connata +Clematis connata var. pseudoconnata +Clematis connata var. trullifera +Clematis delavayi var. calvescens +Clematis delavayi var. delavayi +Clematis delavayi var. limprichtii +Clematis delavayi var. spinescens +Clematis fasciculiflora var. angustifolia +Clematis fasciculiflora var. fasciculiflora +Clematis ganpiniana var. ganpiniana +Clematis glauca +Clematis gouriana +Clematis gracilifolia var. dissectifolia +Clematis gratopsis +Clematis grewiiflora +Clematis intricata +Clematis jialasaensis +Clematis lancifolia var. lancifolia +Clematis lasiandra +Clematis macropetala +Clematis metuoensis +Clematis montana var. glabrescens +Clematis montana var. longipes +Clematis montana var. montana +Clematis montana var. sterilis +Clematis napaulensis +Clematis nukiangensis +Clematis pamiralaica +Clematis parviloba +Clematis peterae var. peterae +Clematis peterae var. trichocarpa +Clematis pianmaensis +Clematis pogonandra var. pilosula +Clematis pogonandra var. pogonandra +Clematis potaninii +Clematis pseudopogonandra +Clematis ranunculoides +Clematis rehderiana +Clematis sibirica +Clematis sikkimensis var. clarkei +Clematis tangutica var. pubescens +Clematis tangutica var. tangutica +Clematis tenuifolia +Clematis tibetana var. lineariloba +Clematis tsaii +Clematis urophylla +Clematis venusta +Clematis viridis +Clematis yui +Clematis yunnanensis +Clematis zandaensis +Coptis teeta +Delphinium albocoeruleum var. albocoeruleum +Delphinium angustirhombicum +Delphinium anthriscifolium +Delphinium autumnale +Delphinium batangense +Delphinium beesianum var. beesianum +Delphinium beesianum var. latisectum +Delphinium beesianum var. radiatifolium +Delphinium bonvalotii var. radiatifolium +Delphinium brevisepalum +Delphinium brunonianum +Delphinium bulleyanum +Delphinium caeruleum var. caeruleum +Delphinium caeruleum var. obtusilobum +Delphinium campylocentrum +Delphinium candelabrum var. candelabrum +Delphinium candelabrum var. monanthum +Delphinium caudatolobum +Delphinium ceratophoroides +Delphinium ceratophorum var. brevicorniculatum +Delphinium ceratophorum var. ceratophorum +Delphinium ceratophorum var. hirsutum +Delphinium ceratophorum var. robustum +Delphinium chayuense +Delphinium chenii +Delphinium chrysotrichum var. chrysotrichum +Delphinium chrysotrichum var. tsarongense +Delphinium chumulangmaense +Delphinium chungbaense +Delphinium coleopodum +Delphinium delavayi var. delavayi +Delphinium delavayi var. lasiandrum +Delphinium delavayi var. pogonanthum +Delphinium densiflorum +Delphinium dolichocentroides var. dolichocentroides +Delphinium dolichocentroides var. leiogynum +Delphinium forrestii var. forrestii +Delphinium forrestii var. viride +Delphinium glabricaule +Delphinium glaciale +Delphinium gonggaense +Delphinium grandiflorum var. gilgianum +Delphinium grandiflorum var. grandiflorum +Delphinium gyalanum +Delphinium hamatum +Delphinium handelianum +Delphinium hillcoatiae +Delphinium hirtifolium +Delphinium humilius +Delphinium kamaonense var. glabrescens +Delphinium kamaonense var. kamaonense +Delphinium kantzeense +Delphinium kingianum var. acuminatissimum +Delphinium kingianum var. eglandulosum +Delphinium kingianum var. kingianum +Delphinium kunlunshanicum +Delphinium lacostei +Delphinium lasiantherum +Delphinium latirhombicum +Delphinium laxicymosum var. laxicymosum +Delphinium leiophyllum +Delphinium leiostachyum +Delphinium likiangense +Delphinium longipedicellatum +Delphinium majus +Delphinium medogense +Delphinium micropetalum +Delphinium muliense var. minutibracteolatum +Delphinium muliense var. muliense +Delphinium nangchienense +Delphinium ninglangshanicum +Delphinium nordhagenii var. acutidentatum +Delphinium nordhagenii var. nordhagenii +Delphinium nortonii +Delphinium obcordatilimbum +Delphinium omeiense var. pubescens +Delphinium orthocentrum +Delphinium oxycentrum +Delphinium pachycentrum var. lancisepalum +Delphinium pachycentrum var. pachycentrum +Delphinium pergameneum +Delphinium pomeense +Delphinium potaninii var. bonvalotii +Delphinium potaninii var. latibracteolatum +Delphinium potaninii var. potaninii +Delphinium pseudocampylocentrum +Delphinium pseudoglaciale +Delphinium pseudohamatum +Delphinium pseudopulcherrimum +Delphinium pulanense +Delphinium pumilum +Delphinium purpurascens +Delphinium pycnocentrum +Delphinium pylzowii var. pylzowii +Delphinium pylzowii var. trigynum +Delphinium qinghaiense +Delphinium rangtangense +Delphinium sherriffii +Delphinium sinopentagynum +Delphinium sinovitifolium +Delphinium smithianum +Delphinium souliei +Delphinium sparsiflorum +Delphinium spirocentrum +Delphinium subspathulatum +Delphinium sutchuenense +Delphinium tabatae +Delphinium taliense +Delphinium tangkulaense +Delphinium tatsienense var. tatsienense +Delphinium tenii +Delphinium thibeticum var. laceratilobum +Delphinium thibeticum var. thibeticum +Delphinium tongolense +Delphinium trichophorum var. platycentrum +Delphinium trichophorum var. trichophorum +Delphinium umbrosum var. drepanocentrum +Delphinium umbrosum var. umbrosum +Delphinium vestitum +Delphinium viscosum var. chrysotrichum +Delphinium wardii +Delphinium wenchuanense +Delphinium wrightii +Delphinium yajiangense +Delphinium yangii +Delphinium yanwaense +Delphinium yechengense +Delphinium yuanum +Delphinium yulungshanicum +Delphinium yunnanense +Dichocarpum franchetii +Eranthis lobulata +Halerpestes filisecta +Halerpestes lancifolia +Halerpestes ruthenica +Halerpestes sarmentosa +Halerpestes tricuspis +Helleborus thibetanus +Isopyrum anemonoides +Kingdonia uniflora +Leptopyrum fumarioides +Metanemone ranunculoides +Oxygraphis delavayi +Oxygraphis endlicheri +Oxygraphis glacialis +Paraquilegia anemonoides +Paraquilegia caespitosa +Paraquilegia microphylla +Pulsatilla ambigua +Pulsatilla campanella +Pulsatilla chinensis +Pulsatilla kostyczewii +Pulsatilla millefolium +Ranunculus balangshanicus +Ranunculus banguoensis var. banguoensis +Ranunculus banguoensis var. grandiflorus +Ranunculus brotherusii +Ranunculus chinensis +Ranunculus chuanchingensis +Ranunculus dielsianus var. dielsianus +Ranunculus dielsianus var. leiogynus +Ranunculus dielsianus var. suprasericeus +Ranunculus diffusus +Ranunculus dingjieensis +Ranunculus distans +Ranunculus dongrergensis var. dongrergensis +Ranunculus felixii var. forrestii +Ranunculus felixii var. felixii +Ranunculus ficariifolius +Ranunculus furcatifidus +Ranunculus gelidus +Ranunculus glabricaulis +Ranunculus glacialiformis +Ranunculus glareosus +Ranunculus hetianensis +Ranunculus hirtellus var. hirtellus +Ranunculus hirtellus var. humilis +Ranunculus hirtellus var. orientalis +Ranunculus indivisus var. abaensis +Ranunculus indivisus var. indivisus +Ranunculus japonicus var. japonicus +Ranunculus japonicus var. propinquus +Ranunculus jilongensis +Ranunculus kunlunshanicus +Ranunculus limprichtii var. flavus +Ranunculus limprichtii var. limprichtii +Ranunculus lobatus +Ranunculus mainlingensis +Ranunculus membranaceus var. membranaceus +Ranunculus membranaceus var. pubescens +Ranunculus menyuanensis +Ranunculus micronivalis +Ranunculus minor +Ranunculus munroanus +Ranunculus muscigenus +Ranunculus natans +Ranunculus nematolobus +Ranunculus nephelogenes var. longicaulis +Ranunculus nephelogenes var. nephelogenes +Ranunculus nephelogenes var. pseudohirculus +Ranunculus nephelogenes var. pubescens +Ranunculus oreionannos +Ranunculus pedatifidus +Ranunculus pedicellatus +Ranunculus pegaeus +Ranunculus platypetalus +Ranunculus polyrhizos +Ranunculus popovii var. stracheyanus +Ranunculus potaninii +Ranunculus pseudolobatus +Ranunculus pseudopygmaeus +Ranunculus pulchellus +Ranunculus rufosepalus +Ranunculus sceleratus +Ranunculus similis +Ranunculus tanguticus var. dasycarpus +Ranunculus tanguticus var. tanguticus +Ranunculus tetrandrus +Ranunculus trautvetterianus +Ranunculus trigonus +Ranunculus yunnanensis +Ranunculus zhungdianensis +Roegneria barbicalla var. pubifolia +Souliea vaginata +Stipa caucasica subsp. glareosa +Thalictrum alpinum var. alpinum +Thalictrum alpinum var. elatum +Thalictrum alpinum var. microphyllum +Thalictrum aquilegiifolium var. sibiricum +Thalictrum atriplex +Thalictrum baicalense var. baicalense +Thalictrum baicalense var. megalostigma +Thalictrum brevisericeum +Thalictrum chayuense +Thalictrum chelidonii +Thalictrum cultratum +Thalictrum delavayi var. decorum +Thalictrum delavayi var. delavayi +Thalictrum diffusiflorum +Thalictrum elegans +Thalictrum fargesii +Thalictrum finetii +Thalictrum foeniculaceum +Thalictrum foetidum +Thalictrum foliolosum +Thalictrum fusiforme +Thalictrum grandiflorum +Thalictrum javanicum var. javanicum +Thalictrum javanicum var. puberulum +Thalictrum leuconotum +Thalictrum microgynum +Thalictrum minus var. hypoleucum +Thalictrum minus var. minus +Thalictrum oligandrum +Thalictrum petaloideum +Thalictrum przewalskii +Thalictrum ramosum +Thalictrum reniforme +Thalictrum reticulatum var. hirtellum +Thalictrum reticulatum var. reticulatum +Thalictrum rostellatum +Thalictrum rotundifolium +Thalictrum rutifolium +Thalictrum saniculiforme +Thalictrum simplex var. brevipes +Thalictrum simplex var. simplex +Thalictrum smithii +Thalictrum squamiferum +Thalictrum squarrosum +Thalictrum tenue +Thalictrum trichopus +Thalictrum tsawarungense +Thalictrum uncatum +Thalictrum uncinulatum +Thalictrum virgatum +Thalictrum viscosum +Thalictrum wangii +Trollius chinensis +Trollius dschungaricus +Trollius farreri var. farreri +Trollius farreri var. major +Trollius micranthus +Trollius pumilus var. pumilus +Trollius pumilus var. tanguticus +Trollius pumilus var. tehkehensis +Trollius ranunculoides +Trollius vaginatus +Trollius yunnanensis var. anemonifolius +Trollius yunnanensis var. eupetalus +Trollius yunnanensis var. yunnanensis +Meliosma alba +Meliosma arnottiana +Meliosma cuneifolia var. cuneifolia +Meliosma cuneifolia var. glabriuscula +Meliosma dilleniifolia +Meliosma dumicola +Meliosma mannii +Meliosma pinnata +Meliosma thomsonii +Meliosma veitchiorum +Meliosma wallichii +Meliosma yunnanensis +Sabia campanulata +Sabia dielsii +Sabia fasciculata +Sabia parviflora +Sabia schumanniana +Sabia yunnanensis subsp. latifolia +Sabia yunnanensis subsp. yunnanensis +Nelumbo nucifera +Helicia tibetensis +Tetracentron sinense +Buxus bodinieri +Buxus mollicula var. mollicula +Buxus myrica +Buxus rugulosa var. prostrata +Buxus rugulosa var. rugulosa +Buxus rugulosa var. rupicola +Pachysandra axillaris +Sarcococca hookeriana var. digyna +Sarcococca hookeriana var. hookeriana +Sarcococca ruscifolia +Sarcococca wallichii +Paeonia anomala subsp. veitchii +Paeonia decomposita subsp. decomposita +Paeonia delavayi var. angustiloba +Paeonia delavayi var. delavayi +Paeonia delavayi var. lutea +Paeonia emodi +Paeonia lactiflora +Paeonia mairei +Paeonia obvata subsp. willmottiae +Paeonia sterniana +Paeonia veitchii var. veitchii +Altingia excelsa +Corylopsis glaucescens +Corylopsis himalayana +Corylopsis microcarpa +Corylopsis platypetala +Corylopsis trabeculosa +Corylopsis willmottiae +Corylopsis yui +Corylopsis yunnanensis +Exbucklandia populnea +Loropetalum chinense +Rhodoleia forrestii +Cercidiphyllum japonicum +Daphniphyllum chartaceum +Daphniphyllum himalense +Daphniphyllum paxianum +Itea chinensis +Itea ilicifolia +Itea indochinensis var. pubinervia +Itea kiukiangensis +Itea yunnanensis +Ribes alpestre var. alpestre +Ribes alpestre var. eglandulosum +Ribes alpestre var. giganteum +Ribes fasciculatum var. chinense +Ribes giraldii +Ribes glaciale f. glaciale +Ribes glaciale f. hirsutum +Ribes gongshanense var. gongshanense +Ribes griffithii var. gongshanense +Ribes griffithii var. griffithii +Ribes himalense var. himalense +Ribes himalense var. pubicalycinum +Ribes himalense var. trichophyllum +Ribes humile +Ribes kialanum +Ribes laciniatum +Ribes laurifolium var. laurifolium +Ribes longiracemosum var. davidii +Ribes longiracemosum var. longiracemosum +Ribes longiracemosum var. pilosum +Ribes luridum +Ribes maximowiczianum +Ribes menyuanense +Ribes meyeri +Ribes moupinense var. moupinense +Ribes moupinense var. tripartitum +Ribes orientale +Ribes pseudofasciculatum +Ribes pulchellum +Ribes qingzangense var. qingzangense +Ribes qingzangense var. urceolatum +Ribes stenocarpum +Ribes takare var. desmocarpum +Ribes takare var. takare +Ribes tenue var. incisum +Ribes tenue var. tenue +Ribes vilmorinii +Ribes xizangense +Astilbe chinensis +Astilbe rivularis var. angustifoliolata +Astilbe rivularis var. myriantha +Astilbe rivularis var. rivularis +Astilbe rubra +Bergenia pacumbis +Bergenia purpurascens +Chrysosplenium delavayi +Chrysosplenium absconditicapsulum +Chrysosplenium axillare +Chrysosplenium carnosum +Chrysosplenium cavaleriei +Chrysosplenium davidianum +Chrysosplenium forrestii +Chrysosplenium fuscopuncticulosum +Chrysosplenium griffithii var. griffithii +Chrysosplenium griffithii var. intermedium +Chrysosplenium lanuginosum +Chrysosplenium lixianense +Chrysosplenium nepalense +Chrysosplenium nudicaule +Chrysosplenium oxygraphoides +Chrysosplenium pilosum var. valdepilosum +Chrysosplenium sikangense +Chrysosplenium sinicum +Chrysosplenium uniflorum +Chrysosplenium yanyuanense +Rodgersia aesculifolia +Rodgersia nepalensis +Rodgersia pinnata var. pinnata +Rodgersia pinnata var. strigosa +Rodgersia sambucifolia var. estrigosa +Rodgersia sambucifolia var. sambucifolia +Saxifraga afghanica +Saxifraga andersonii +Saxifraga aristulata var. aristulata +Saxifraga aristulata var. longipila +Saxifraga atrata +Saxifraga atuntsiensis +Saxifraga aurantiaca var. aurantiaca +Saxifraga aurantiaca var. limprichtii +Saxifraga auriculata var. auriculata +Saxifraga auriculata var. conaensis +Saxifraga baimashanensis +Saxifraga balfourii +Saxifraga banmaensis +Saxifraga bergenioides +Saxifraga brachyphylla +Saxifraga brachypoda +Saxifraga brunonis +Saxifraga bulleyana +Saxifraga candelabrum +Saxifraga cardiophylla +Saxifraga caveana +Saxifraga cernua +Saxifraga chionophila +Saxifraga chrysanthoides +Saxifraga ciliatopetala +Saxifraga cinerascens +Saxifraga clavistaminea +Saxifraga clivorum +Saxifraga coarctata +Saxifraga consanguinea +Saxifraga contraria +Saxifraga cordigera +Saxifraga daochengensis +Saxifraga davidii +Saxifraga decussata +Saxifraga densifoliata var. densifoliata +Saxifraga densifoliata var. nedongensis +Saxifraga deqenensis +Saxifraga diapensia +Saxifraga dielsiana +Saxifraga diffusicallosa +Saxifraga dingqingensis +Saxifraga divaricata +Saxifraga diversifolia +Saxifraga doyalana +Saxifraga drabiformis +Saxifraga dshagalensis +Saxifraga eglandulosa +Saxifraga egregia var. eciliata +Saxifraga egregia var. egregia +Saxifraga egregia var. xiaojinensis +Saxifraga elliotii +Saxifraga elliptica +Saxifraga engleriana +Saxifraga epiphylla +Saxifraga erinacea +Saxifraga filicaulis +Saxifraga filifolia +Saxifraga finitima +Saxifraga flaccida +Saxifraga flagellaris +Saxifraga flexilis +Saxifraga forrestii +Saxifraga gatogombensis +Saxifraga gemmigera var. gemmigera +Saxifraga gemmipara +Saxifraga georgei +Saxifraga giraldiana +Saxifraga glabricaulis +Saxifraga glacialis +Saxifraga glaucophylla +Saxifraga gongashanensis +Saxifraga gyalana +Saxifraga haplophylloides +Saxifraga heleonastes +Saxifraga hemisphaerica +Saxifraga hengduanensis +Saxifraga heteroclada var. aurantia +Saxifraga heterocladoides +Saxifraga heterotricha var. anadena +Saxifraga heterotricha var. heterotricha +Saxifraga hirculoides +Saxifraga hirculus var. alpina +Saxifraga hirculus var. hirculus +Saxifraga hispidula +Saxifraga hookeri +Saxifraga hypericoides var. aurantiascens +Saxifraga hypericoides var. hypericoides +Saxifraga hypericoides var. rockii +Saxifraga insolens +Saxifraga isophylla +Saxifraga jacquemontiana +Saxifraga kingdonii +Saxifraga kingiana +Saxifraga kongboensis +Saxifraga lepidostolonosa +Saxifraga likiangensis +Saxifraga linearifolia +Saxifraga litangensis +Saxifraga lixianensis +Saxifraga llonakhensis +Saxifraga loripes +Saxifraga ludlowii +Saxifraga lumpuensis +Saxifraga lychnitis +Saxifraga macrostigmatoides +Saxifraga melanocentra var. melanocentra +Saxifraga melanocentra var. rubiflora +Saxifraga mengtzeana var. cordatifolia +Saxifraga mengtzeana var. mengtzeana +Saxifraga microgyna +Saxifraga miralana +Saxifraga monantha +Saxifraga montanella var. montanella +Saxifraga montanella var. retusa +Saxifraga montanelloides +Saxifraga moorcroftiana +Saxifraga mucronulata +Saxifraga nakaoides +Saxifraga nambulana +Saxifraga nana +Saxifraga nanella var. glabrisepala +Saxifraga nanella var. nanella +Saxifraga nangqenica +Saxifraga nangxianensis +Saxifraga nigroglandulifera +Saxifraga nigroglandulosa +Saxifraga omphalodifolia +Saxifraga oppositifolia f. albiflora +Saxifraga oppositifolia f. oppositifolia +Saxifraga pallida f. foliosa +Saxifraga pallida f. nana +Saxifraga pallida f. pallida +Saxifraga pardanthina +Saxifraga parkaensis +Saxifraga parnassiifolia var. obscuricallosa +Saxifraga parnassiifolia var. parnassiifolia +Saxifraga parva +Saxifraga parvula +Saxifraga pellucida +Saxifraga peplidifolia +Saxifraga peraristulata +Saxifraga petrophila var. likiangensis +Saxifraga pratensis +Saxifraga prattii +Saxifraga przewalskii +Saxifraga pseudohirculus +Saxifraga pulchra +Saxifraga pulvinaria +Saxifraga punctulata var. minuta +Saxifraga punctulata var. punctulata +Saxifraga punctulatoides +Saxifraga rizhaoshanensis +Saxifraga rotundipetala +Saxifraga rufescens +Saxifraga saginoides +Saxifraga sanguinea +Saxifraga saxicola +Saxifraga sediformis +Saxifraga sessiliflora +Saxifraga sibirica +Saxifraga signata +Saxifraga signatella +Saxifraga sinomontana var. amabilis +Saxifraga sinomontana var. sinomontana +Saxifraga sphaeradena subsp. dhwojii +Saxifraga sphaeradena subsp. sphaeradena +Saxifraga stella-aurea +Saxifraga stellariifolia +Saxifraga stenophylla +Saxifraga stolonifera +Saxifraga strigosa +Saxifraga subaequifoliata +Saxifraga subamplexicaulis +Saxifraga subomphalodifolia +Saxifraga subsessiliflora +Saxifraga subspathulata +Saxifraga substrigosa +Saxifraga subternata +Saxifraga tangutica var. platyphylla +Saxifraga tangutica var. tangutica +Saxifraga taraktophylla f. filifolia +Saxifraga tentaculata +Saxifraga tibetica +Saxifraga tigrina +Saxifraga tsangchanensis +Saxifraga umbellulata var. muricola +Saxifraga umbellulata var. pectinata +Saxifraga umbellulata var. umbellulata +Saxifraga unguiculata var. unguiculata +Saxifraga wallichiana +Saxifraga wardii var. glabripedicellata +Saxifraga wardii var. wardii +Saxifraga wenchuanensis +Saxifraga yaluzangbuensis +Saxifraga yezhiensis +Saxifraga yushuensis +Saxifraga zayuensis +Saxifraga zekoensis +Saxifraga zhidoensis +Tiarella polyphylla +Hylotelephium angustum +Hylotelephium erythrostictum +Hylotelephium ewersii +Kalanchoe integra +Ohbaea balfourii +Orostachys alicae +Orostachys chanetii +Orostachys fimbriata +Orostachys schoenlandii +Orostachys spinosa +Orostachys thyrsiflora +Phedimus aizoon var. scabrus +Rhodiola alsia subsp. alsia +Rhodiola alsia subsp. kawaguchii +Rhodiola alterna +Rhodiola atsaensis +Rhodiola atuntsuensis +Rhodiola brevipetiolata +Rhodiola bupleuroides +Rhodiola calliantha +Rhodiola chrysanthemifolia +Rhodiola coccinea subsp. coccinea +Rhodiola coccinea subsp. scabrida +Rhodiola crenulata +Rhodiola cretinii +Rhodiola discolor +Rhodiola dumulosa +Rhodiola forrestii +Rhodiola gelida +Rhodiola heterodonta +Rhodiola himalensis subsp. himalensis +Rhodiola himalensis subsp. taohoensis +Rhodiola hobsonii +Rhodiola humilis +Rhodiola kashgarica +Rhodiola kirilowii +Rhodiola litwinowii +Rhodiola macrocarpa +Rhodiola nobilis +Rhodiola ovatisepala var. chingii +Rhodiola ovatisepala var. ovatisepala +Rhodiola pamiro-alaica +Rhodiola prainii +Rhodiola primuloides subsp. primuloides +Rhodiola purpureoviridis subsp. phariensis +Rhodiola purpureoviridis subsp. purpureoviridis +Rhodiola quadrifida +Rhodiola recticaulis +Rhodiola sacra var. sacra +Rhodiola sacra var. tsuiana +Rhodiola semenovii +Rhodiola serrata +Rhodiola sexifolia +Rhodiola sherriffii +Rhodiola sinuata +Rhodiola smithii +Rhodiola stapfii +Rhodiola subopposita +Rhodiola tangutica +Rhodiola tibetica +Rhodiola wallichiana +Rhodiola yunnanensis +Rosularia alpestris +Sedum aizoon var. aizoon +Sedum alfredii +Sedum beauverdii +Sedum blepharophyllum +Sedum celatum +Sedum celiae +Sedum chauveaudii var. chauveaudii +Sedum chauveaudii var. margaritae +Sedum concarpum +Sedum correptum +Sedum costantinii +Sedum daigremontianum var. daigremontianum +Sedum daigremontianum var. macrosepalum +Sedum didymocalyx +Sedum dugueyi +Sedum elatinoides +Sedum emarginatum +Sedum engleri var. engleri +Sedum engleri var. forrestii +Sedum erici-magnusii var. erici-magnusii +Sedum fedtschenkoi +Sedum fischeri +Sedum forrestii +Sedum franchetii +Sedum fui var. fui +Sedum fui var. longisepalum +Sedum gagei +Sedum giajae +Sedum glaebosum +Sedum heckelii +Sedum hengduanense +Sedum henrici-robertii +Sedum japonicum +Sedum leblancae +Sedum leucocarpum +Sedum longifuniculatum +Sedum lutzii var. lutzii +Sedum lutzii var. viridiflavum +Sedum magniflorum +Sedum majus +Sedum morotii var. morotii +Sedum morotii var. pinoyi +Sedum multicaule subsp. multicaule +Sedum multicaule subsp. rugosum +Sedum muyaicum +Sedum obtrullatum +Sedum obtusipetalum +Sedum odontophyllum +Sedum oligospermum +Sedum oreades +Sedum pagetodes +Sedum paoshingense +Sedum paracelatum +Sedum perrotii +Sedum platysepalum +Sedum prasinopetalum +Sedum pratoalpinum +Sedum przewalskii +Sedum ramentaceum +Sedum raymondii +Sedum roborowskii +Sedum rosei var. magniflorum +Sedum rosei var. rosei +Sedum sagittipetalum +Sedum sarmentosum +Sedum sinoglaciale +Sedum stellariifolium +Sedum stimulosum +Sedum susanneae var. macrosepalum +Sedum susanneae var. susanneae +Sedum triactina var. leptum +Sedum triactina var. triactina +Sedum trichospermum +Sedum trullipetalum var. ciliatum +Sedum trullipetalum var. trullipetalum +Sedum tsinghaicum +Sedum tsonanum +Sedum ulricae +Sedum wangii +Sedum wenchuanense +Sinocrassula ambigua +Sinocrassula indica var. indica +Sinocrassula indica var. obtusifolia +Sinocrassula techinensis +Tillaea alata +Tillaea schimperi +Penthorum chinense +Gonocarpus micranthus +Myriophyllum spicatum +Myriophyllum verticillatum +Cynomorium songaricum +Ampelocissus artemisiifolia +Ampelocissus latifolia +Ampelopsis aconitifolia var. glabra +Ampelopsis acutidentata +Ampelopsis bodinieri +Ampelopsis delavayana var. delavayana +Ampelopsis mollifolia +Cayratia cardiospermoides +Cayratia japonica var. mollis +Cissus assamica +Leea compactiflora +Leea macrophylla +Parthenocissus semicordata +Tetrastigma delavayi +Tetrastigma hypoglaucum  +Tetrastigma obovatum var. glabrum +Tetrastigma obovatum var. obovatum +Tetrastigma obovatum var. potentilla +Tetrastigma obtectum var. obtectum +Tetrastigma planicaule +Tetrastigma rumicispermum var. rumicispermum +Tetrastigma rupestre +Tetrastigma serrulatum var. puberulum +Tetrastigma serrulatum var. serrulatum +Tetrastigma triphyllum var. hirtum +Tetrastigma yunnanense var. mollissimum +Tetrastigma yunnanense var. yunnanense +Vitis betulifolia +Vitis davidii +Vitis flexuosa +Vitis heyneana subsp. ficifolia +Vitis heyneana subsp. heyneana +Vitis piasezkii +Vitis romaneti +Vitis sinocinerea +Yua thomsonii var. thomsonii +Tribulus terrestris +Zygophyllum kaschgaricum +Zygophyllum loczyi +Zygophyllum obliquum +Acacia concinna +Acacia delavayi +Acacia farnesiana +Acacia pennata +Acacia yunnanensis +Aeschynomene indica +Albizia chinensis +Albizia julibrissin +Albizia kalkora +Albizia lebbeck +Albizia lucidior +Albizia mollis +Albizia sherriffii +Ammopiptanthus mongolicus +Amphicarpaea edgeworthii +Amphicarpaea ferruginea +Apios carnea +Apios delavayi +Apios pteridietorum +Archidendron clypearia +Astragalus acaulis +Astragalus andaulgensis +Astragalus anfractuosus +Astragalus aridovallicola +Astragalus arkalycensis +Astragalus arnoldianus +Astragalus arnoldii +Astragalus aurantiacus +Astragalus austrosibiricus +Astragalus austrotibetanus +Astragalus balfourianus +Astragalus basiflorus +Astragalus batangensis +Astragalus beketowii +Astragalus bhotanensis +Astragalus bomiensis +Astragalus borodinii +Astragalus brevialatus +Astragalus caeruleopetalinus +Astragalus chagyabensis +Astragalus chaidamuensis +Astragalus changmuicus +Astragalus chilienshanensis +Astragalus chiukiangensis +Astragalus chomutowii +Astragalus chrysopterus +Astragalus clarkeanus +Astragalus coluteocarpus +Astragalus comptodontoides +Astragalus confertus f. albiflorus +Astragalus confertus f. confertus +Astragalus craibianus +Astragalus crassifolius +Astragalus dabanshanicus +Astragalus datunensis +Astragalus degensis +Astragalus densiflorus var. densiflorus +Astragalus densiflorus var. kunlunicus +Astragalus dependens +Astragalus dictamnoides +Astragalus dingjiensis +Astragalus dschimensis +Astragalus dumetorum +Astragalus ernestii +Astragalus euchlorus +Astragalus falconeri +Astragalus floridulus +Astragalus forrestii +Astragalus frigidus +Astragalus galactites +Astragalus golmunensis var. golmunensis +Astragalus golmunensis var. paucipilus +Astragalus gracilipes +Astragalus graveolens +Astragalus guinanicus +Astragalus habamontis +Astragalus handelii +Astragalus henryi +Astragalus heterodontus +Astragalus hoantchy +Astragalus kialensis +Astragalus kukunoricus +Astragalus kunlunensis +Astragalus kuschakewiczii +Astragalus lasiosemius +Astragalus latiunguiculatus +Astragalus laxmannii +Astragalus lessertioides +Astragalus lhorongensis +Astragalus licentianus +Astragalus longiscapus +Astragalus lucidus +Astragalus luteolus +Astragalus macropterus +Astragalus mahoschanicus +Astragalus malcolmii +Astragalus maowensis +Astragalus matiensis +Astragalus mattam var. macroflorus +Astragalus mattam var. mattam +Astragalus melanostachys +Astragalus melilotoides +Astragalus minhensis +Astragalus minshanensis +Astragalus miyalomontis +Astragalus monadelphus +Astragalus monbeigii +Astragalus mongholicus +Astragalus monophyllus +Astragalus muliensis +Astragalus multiceps +Astragalus munroi +Astragalus nangxianensis +Astragalus nematodioides +Astragalus nivalis +Astragalus ophiocarpus +Astragalus oplites +Astragalus orbicularifolius +Astragalus oxyodon +Astragalus pamirensis +Astragalus peduncularis +Astragalus peterae +Astragalus pindreensis +Astragalus polyacanthus +Astragalus polycladus +Astragalus porphyrocalyx +Astragalus przewalskii +Astragalus pseudoversicolor +Astragalus puberulus +Astragalus pullus +Astragalus pulvinatus +Astragalus purpurinus +Astragalus qingnanicus +Astragalus retusifoliatus +Astragalus rhizanthus subsp. rhizanthus +Astragalus rigidulus +Astragalus satoi +Astragalus saxorum +Astragalus scaberrimus +Astragalus sedaensis +Astragalus semicircularis +Astragalus sikkimensis +Astragalus sinicus +Astragalus skythropos +Astragalus smithianus +Astragalus souliei +Astragalus stalinskyi +Astragalus stipulatus +Astragalus strictus +Astragalus subuliformis +Astragalus sungpanensis +Astragalus sutchuenensis +Astragalus talassicus +Astragalus tibetanus +Astragalus tongolensis +Astragalus tsataensis +Astragalus tulinovii +Astragalus tumbatsicus +Astragalus tungensis +Astragalus webbianus +Astragalus weixinensis +Astragalus wolungensis +Astragalus yangtzeanus +Astragalus yumenensis +Astragalus yunnanensis subsp. incanus +Astragalus yunnanensis subsp. yunnanensis +Astragalus yutianensis +Astragalus zacharensis +Atylosia elongata +Bauhinia bohniana +Bauhinia brachycarpa +Bauhinia comosa +Bauhinia delavayi +Bauhinia yunnanensis +Caesalpinia cucullata +Caesalpinia decapetala +Cajanus cajan +Cajanus grandiflorus +Callerya cinerea +Callerya dorwardii +Campylotropis brevifolia +Campylotropis capillipes subsp. prainii +Campylotropis capillipes var. capillipes +Campylotropis delavayi +Campylotropis hirtella +Campylotropis macrocarpa var. hupehensis +Campylotropis macrocarpa var. macrocarpa +Campylotropis polyantha var. polyantha +Campylotropis sulcata +Campylotropis trigonoclada +Campylotropis wilsonii +Campylotropis yajiangensis var. yajiangensis +Campylotropis yunnanensis subsp. filipes +Campylotropis yunnanensis subsp. yunnanensis +Caragana arborescens +Caragana bicolor +Caragana boisi +Caragana brevifolia +Caragana changduensis +Caragana chinghaiensis var. chinghaiensis +Caragana chinghaiensis var. minima +Caragana crassispina +Caragana dasyphylla +Caragana davazamcii +Caragana densa +Caragana erinacea +Caragana franchetiana var. franchetiana +Caragana franchetiana var. gyirongensis +Caragana gerardiana +Caragana jubata var. biaurita +Caragana jubata var. jubata +Caragana jubata var. recurva +Caragana junatovii +Caragana korshinskii +Caragana kozlowii +Caragana licentiana +Caragana microphylla +Caragana opulens +Caragana polourensis +Caragana roborovskyi +Caragana rosea +Caragana sinica +Caragana stenophylla +Caragana sukiensis +Caragana tangutica +Caragana tibetica +Caragana versicolor +Cercis glabra +Chamaecrista leschenaultiana +Chesneya acaulis +Chesneya crassipes +Chesneya cuneata +Chesneya nubigena subsp. nubigena +Chesneya nubigena subsp. purpurea +Chesneya polystichoides +Chesneya spinosa +Cicer microphyllum +Cladrastis delavayi +Cochlianthus gracilis +Cochlianthus montanus +Codariocalyx motorius +Colutea delavayi +Colutea nepalensis +Corethrodendron multijugum +Corethrodendron scoparium +Crotalaria acicularis +Crotalaria albida +Crotalaria linifolia var. linifolia +Crotalaria mairei +Crotalaria medicaginea var. medicaginea +Crotalaria micans +Crotalaria psoraleoides +Crotalaria sessiliflora +Crotalaria yunnanensis +Cullen corylifolium +Cytisus scoparius +Dalbergia assamica +Dalbergia mimosoides +Dalbergia pinnata +Dalbergia yunnanensis +Dendrolobium triangulare +Derris marginata +Derris scabricaulis +Desmodium callianthum +Desmodium elegans var. elegans +Desmodium elegans var. handelii +Desmodium gangeticum +Desmodium griffithianum +Desmodium heterocarpon var. heterocarpon +Desmodium megaphyllum var. megaphyllum +Desmodium microphyllum +Desmodium multiflorum +Desmodium sequax +Desmodium stenophyllum +Desmodium williamsii +Desmodium yunnanense +Dolichos tenuicaulis +Dumasia cordifolia +Dumasia forrestii +Dumasia villosa +Entada phaseoloides +Eriosema chinense +Erythrina arborescens +Erythrina stricta +Flemingia fluminalis +Flemingia grahamiana +Flemingia macrophylla +Gleditsia japonica var. delavayi +Gleditsia sinensis +Glycyrrhiza uralensis +Glycyrrhiza yunnanensis +Gueldenstaedtia alba +Gueldenstaedtia gansuensis +Gueldenstaedtia verna +Gueldenstaedtia yadongensis +Gueldenstaedtia yunnanensis +Hedysarum algidum var. algidum +Hedysarum algidum var. speciosum +Hedysarum algidum var. thyrsum +Hedysarum alpinum +Hedysarum campylocarpon +Hedysarum citrinum +Hedysarum falconeri +Hedysarum ferganense var. poncinsii +Hedysarum fistulosum +Hedysarum flavescens +Hedysarum gmelinii +Hedysarum jinchuanense +Hedysarum kumaonense +Hedysarum laxiflorum +Hedysarum limitaneum +Hedysarum longigynophorum +Hedysarum microcalyx +Hedysarum nagarzense +Hedysarum polybotrys var. alaschanicum +Hedysarum polybotrys var. polybotrys +Hedysarum pseudastragalus +Hedysarum sikkimense +Hedysarum tanguticum +Hedysarum thiochroum +Hedysarum tibeticum +Hedysarum xizangense +Hylodesmum laxum +Hylodesmum longipes +Hylodesmum podocarpum subsp. fallax +Hylodesmum podocarpum subsp. oxyphyllum +Hylodesmum podocarpum subsp. podocarpum +Hylodesmum williamsii +Indigofera acutipetala +Indigofera amblyantha +Indigofera argutidens +Indigofera atropurpurea +Indigofera balfouriana +Indigofera bracteata +Indigofera bungeana +Indigofera calcicola +Indigofera chaetodonta +Indigofera cylindracea +Indigofera delavayi +Indigofera dolichochaete +Indigofera dumetorum +Indigofera franchetii +Indigofera hancockii +Indigofera hebepetala +Indigofera hendecaphylla +Indigofera henryi +Indigofera heterantha +Indigofera lenticellata +Indigofera linifolia +Indigofera mairei +Indigofera muliensis +Indigofera myosurus +Indigofera neosericopetala +Indigofera nigrescens +Indigofera pendula +Indigofera reticulata +Indigofera rigioclada +Indigofera scabrida +Indigofera sensitiva +Indigofera silvestrii +Indigofera stachyodes +Indigofera szechuensis +Indigofera tenyuehensis +Kummerowia striata +Lathyrus davidii +Lathyrus dielsianus +Lathyrus palustris var. palustris +Lathyrus palustris var. pilosus +Lathyrus pratensis +Lathyrus quinquenervius +Lens culinaris +Lespedeza bicolor +Lespedeza cuneata +Lespedeza davurica +Lespedeza fasciculiflora var. fasciculiflora +Lespedeza fasciculiflora var. hengduanshanensis +Lespedeza floribunda +Lespedeza forrestii +Lespedeza juncea +Lespedeza pilosa +Lespedeza potaninii +Lespedeza thunbergii subsp. formosa +Lespedeza tomentosa +Lotus corniculatus var. corniculatus +Lotus corniculatus var. japonicus +Mastersia assamica +Medicago archiducis-nicolaii +Medicago edgeworthii +Medicago falcata +Medicago lupulina +Medicago ruthenica +Medicago sativa +Melilotus albus +Melilotus dentatus +Melilotus indicus +Melilotus officinalis +Millettia dielsiana var. dielsiana +Millettia extensa +Millettia pachycarpa +Millettia pulchra var. laxior +Millettia velutina +Mimosa pudica +Mucuna calophylla +Mucuna hainanensis +Mucuna macrocarpa +Mucuna sempervirens +Ohwia caudata +Oxytropis aciphylla +Oxytropis avisoides +Oxytropis baxoiensis +Oxytropis bella +Oxytropis bicolor +Oxytropis biflora +Oxytropis brevipedunculata +Oxytropis cachemiriana +Oxytropis caerulea +Oxytropis cinerascens +Oxytropis deflexa +Oxytropis densa +Oxytropis densiflora var. densiflora +Oxytropis densiflora var. multiramosa +Oxytropis falcata var. falcata +Oxytropis falcata var. maquensis +Oxytropis gerzeensis +Oxytropis giraldii +Oxytropis glabra +Oxytropis guinanensis +Oxytropis hirsutiuscula +Oxytropis humifusa +Oxytropis imbricata +Oxytropis kansuensis +Oxytropis lapponica +Oxytropis latialata +Oxytropis latibracteata var. latibracteata +Oxytropis latibracteata var. longibracteata +Oxytropis lehmanni +Oxytropis linearibracteata +Oxytropis longialata +Oxytropis maduoensis +Oxytropis maqinensis +Oxytropis melanocalyx +Oxytropis merkensis +Oxytropis microphylla +Oxytropis microsphaera +Oxytropis mollis +Oxytropis ochrantha +Oxytropis ochrocephala +Oxytropis ochrolongibracteata +Oxytropis parasericeopetala +Oxytropis pauciflora +Oxytropis platonychia +Oxytropis platysema +Oxytropis poncinsii +Oxytropis proboscidea +Oxytropis pusilla +Oxytropis qilianshanica +Oxytropis qinghaiensis +Oxytropis qingnanensis +Oxytropis reniformis +Oxytropis savellanica +Oxytropis sericopetala +Oxytropis squammulosa +Oxytropis stracheyana +Oxytropis subpodoloba +Oxytropis taochensis +Oxytropis tatarica +Oxytropis thomsonii +Oxytropis tianschanica +Oxytropis tragacanthoides +Oxytropis xinglongshanica +Oxytropis yunnanensis +Oxytropis zekogensis +Parochetus communis +Phyllolobium balfourianum +Phyllolobium camptodontum +Phyllolobium chinense +Phyllolobium dolichochaete +Phyllolobium donianum +Phyllolobium enneaphyllum +Phyllolobium flavovirens +Phyllolobium heydei +Phyllolobium lasaense +Phyllolobium lineariauriferum +Phyllolobium pastorium +Phyllolobium prodigiosum +Phyllolobium sanbilingense +Phyllolobium siccaneum +Phyllolobium tingriense +Phyllolobium tribulifolium +Piptanthus nepalensis +Piptanthus tomentosus +Pisum sativum +Pterolobium punctatum +Pueraria calycina +Pueraria edulis +Pueraria montana var. thomsonii +Pueraria peduncularis +Pueraria wallichii +Rhynchosia dielsii +Rhynchosia himalensis var. craibiana +Rhynchosia minima +Rhynchosia yunnanensis +Salweenia wardii +Senna occidentalis +Senna tora +Sesbania bispinosa +Shuteria involucrata +Shuteria vestita +Smithia ciliata +Sophora alopecuroides +Sophora benthamii +Sophora davidii +Sophora flavescens +Sophora japonica +Sophora moorcroftiana +Sophora prazeri +Sophora velutina var. cavaleriei +Sophora velutina var. velutina +Spatholobus suberectus +Sphaerophysa salsula +Tamarindus indica +Tephrosia purpurea var. purpurea +Tephrosia purpurea var. yunnanensis +Thermopsis alpina +Thermopsis barbata +Thermopsis gyirongensis +Thermopsis inflata +Thermopsis lanceolata +Thermopsis przewalskii +Thermopsis smithiana +Thermopsis turkestanica +Thermopsis yunnanensis +Thermopsis yushuensis +Tibetia forrestii +Tibetia himalaica +Tibetia tongolensis +Tibetia yadongensis +Tibetia yunnanensis var. coelestis +Tibetia yunnanensis var. yunnanensis +Trigonella cachemiriana +Trigonella emodi +Trigonella fimbriata +Trigonella pamirica +Uraria lacei +Uraria picta +Uraria rufescens +Uraria sinensis +Vicia amoena var. amoena +Vicia amoena var. villosa +Vicia amurensis +Vicia bakeri +Vicia bungei +Vicia costata +Vicia cracca +Vicia dichroantha +Vicia hirsuta +Vicia megalotropis +Vicia multicaulis +Vicia nummularia +Vicia pseudo-orobus +Vicia sativa subsp. nigra +Vicia sepium +Vicia sinogigantea +Vicia ternata +Vicia tibetica +Vicia unijuga +Vicia villosa +Vigna aconitifolia +Vigna minima +Vigna trilobata +Vigna vexillata +Zornia gibbosa +Polygala arillata +Polygala bomiensis +Polygala crotalarioides +Polygala didyma +Polygala elegans +Polygala globulifera var. longiracemosa +Polygala karensium var. karensium +Polygala lhunzeensis +Polygala lijiangensis +Polygala monopetala +Polygala persicariifolia +Polygala sibirica +Polygala tatarinowii +Polygala tenuifolia +Polygala wattersii +Salomonia cantoniensis +Acomastylis elata var. elata +Acomastylis elata var. leiocarpa +Agrimonia pilosa var. nepalensis +Agrimonia pilosa var. pilosa +Alchemilla glabra +Alchemilla gracilis +Alchemilla japonica +Amygdalus kansuensis +Amygdalus mira +Amygdalus persica +Amygdalus tangutica +Armeniaca holosericea +Armeniaca mume var. mume +Armeniaca mume var. pallescens +Armeniaca vulgaris var. ansu +Armeniaca vulgaris var. vulgaris +Aruncus gombalanus +Aruncus sylvester +Arundina graminifolia +Cerasus caudata +Cerasus cerasoides +Cerasus clarofolia +Cerasus conadenia +Cerasus crataegifolia +Cerasus mugus +Cerasus patentipila +Cerasus pleiocerasus +Cerasus polytricha +Cerasus pusilliflora +Cerasus rufa var. rufa +Cerasus serrula +Cerasus setulosa +Cerasus stipulacea +Cerasus tatsienensis +Cerasus tomentosa +Cerasus trichantha +Cerasus trichostoma +Cerasus yunnanensis var. polybotrys +Cerasus yunnanensis var. yunnanensis +Chaenomeles speciosa +Chaenomeles thibetica +Chamaerhodos erecta +Chamaerhodos sabulosa +Coluria longifolia +Coluria oligocarpa +Comarum salesovianum +Cotoneaster acuminatus +Cotoneaster acutifolius var. acutifolius +Cotoneaster acutifolius var. villosulus +Cotoneaster adpressus +Cotoneaster affinis +Cotoneaster ambiguus +Cotoneaster apiculatus +Cotoneaster bullatus +Cotoneaster buxifolius +Cotoneaster chengkangensis +Cotoneaster conspicuus +Cotoneaster coriaceus +Cotoneaster dammerii var. dammeri +Cotoneaster dammerii var. radicans +Cotoneaster dielsianus +Cotoneaster divaricatus +Cotoneaster foveolatus +Cotoneaster franchetii +Cotoneaster frigidus +Cotoneaster glaucophyllus var. glaucophyllus +Cotoneaster glomerulatus +Cotoneaster gracilis +Cotoneaster harrysmithii +Cotoneaster hebephyllus var. hebephyllus +Cotoneaster hebephyllus var. incanus +Cotoneaster horizontalis +Cotoneaster integerrimus +Cotoneaster langei +Cotoneaster microphyllus var. cochleatus +Cotoneaster microphyllus var. glacialis +Cotoneaster microphyllus var. microphyllus +Cotoneaster microphyllus var. thymifolius +Cotoneaster moupinensis +Cotoneaster multiflorus var. atropurpureus +Cotoneaster multiflorus var. multiflorus +Cotoneaster nitens +Cotoneaster nitidifolius +Cotoneaster nitidus +Cotoneaster obscurus +Cotoneaster pannosus +Cotoneaster rhytidophyllus +Cotoneaster rotundifolius +Cotoneaster rubens var. minimus +Cotoneaster rubens var. rubens +Cotoneaster salicifolius +Cotoneaster sanguineus +Cotoneaster sherriffii +Cotoneaster soongoricus +Cotoneaster subadpressus +Cotoneaster submultiflorus +Cotoneaster taylorii +Cotoneaster tenuipes +Cotoneaster verruculosus +Cotoneaster wardii +Cotoneaster zabelii +Crataegus chungtienensis +Crataegus cuneata +Crataegus kansuensis +Crataegus oresbia +Crataegus pinnatifida +Crataegus scabrifolia +Dichotomanthes tristaniicarpa +Docynia delavayi +Docynia indica +Duchesnea chrysantha +Duchesnea indica var. indica +Duchesnea indica var. microphylla +Eriobotrya elliptica +Eriobotrya fragrans +Eriobotrya henryi +Eriobotrya japonica +Eriobotrya prinoides +Eriobotrya salwinensis +Eriobotrya tengyuehensis +Filipendula vestita +Fragaria daltoniana +Fragaria gracilis +Fragaria moupinensis +Fragaria nilgerrensis var. mairei +Fragaria nilgerrensis var. nilgerrensis +Fragaria nubicola +Fragaria orientalis +Fragaria pentaphylla +Fragaria vesca +Geum aleppicum +Geum elatum var. elatum +Geum elatum var. humile +Geum elatum var. leiocarpum +Geum japonicum var. chinense +Geum macrosepalum +Laurocerasus hypotricha +Laurocerasus phaeosticta f. lasioclada +Laurocerasus phaeosticta f. phaeosticta +Laurocerasus undulata f. microbotrys +Laurocerasus undulata f. undulata +Laurocerasus zippeliana +Maddenia himalaica +Maddenia hypoxantha +Maddenia incisoserrata +Maddenia wilsonii +Malus asiatica +Malus baccata +Malus daochengensis +Malus halliana +Malus hupehensis +Malus kansuensis +Malus mandshurica +Malus micromalus +Malus ombrophila +Malus prattii +Malus prunifolia +Malus pumila +Malus rockii +Malus sieboldii +Malus sieversii +Malus sikkimensis +Malus spectabilis +Malus toringoides +Malus transitoria var. centralasiatica +Malus transitoria var. glabrescens +Malus transitoria var. transitoria +Malus yunnanensis var. veitchii +Malus yunnanensis var. yunnanensis +Neillia affinis var. affinis +Neillia affinis var. pauciflora +Neillia breviracemosa +Neillia densiflora +Neillia fugongensis +Neillia gracilis +Neillia grandiflora +Neillia ribesioides +Neillia rubiflora +Neillia serratisepala +Neillia sinensis var. sinensis +Neillia sparsiflora +Neillia thibetica var. lobata +Neillia thibetica var. thibetica +Neillia thyrsiflora var. thyrsiflora +Neillia thyrsiflora var. tunkinensis +Osteomeles schwerinae var. microphylla +Osteomeles schwerinae var. schwerinae +Padus avium +Padus brachypoda +Padus brunnescens +Padus grayana +Padus napaulensis +Padus obtusata +Padus perulata +Padus stellipila +Padus velutina +Padus wilsonii +Photinia beauverdiana +Photinia bodinieri var. bodinieri +Photinia glabra +Photinia glomerata +Photinia integrifolia +Photinia lasiogyna +Photinia megaphylla +Photinia prionophylla +Photinia serratifolia +Potentilla acaulis +Potentilla angustiloba +Potentilla anserina +Potentilla argyrophylla var. argyrophylla +Potentilla argyrophylla var. atrosanguinea +Potentilla aristata +Potentilla articulata var. articulata +Potentilla articulata var. latipetiolata +Potentilla biflora var. biflora +Potentilla biflora var. lahulensis +Potentilla bifurca var. bifurca +Potentilla bifurca var. humilior +Potentilla bifurca var. major +Potentilla bifurca var. pusilla +Potentilla chinensis +Potentilla conferta var. conferta +Potentilla conferta var. trijuga +Potentilla contigua +Potentilla coriandrifolia var. coriandrifolia +Potentilla coriandrifolia var. dumosa +Potentilla coriandrifolia var. purpurea +Potentilla crenulata +Potentilla cuneata +Potentilla delavayi +Potentilla dryadanthoides +Potentilla eriocarpa var. eriocarpa +Potentilla eriocarpa var. tsarongensis +Potentilla fallens +Potentilla flagellaris +Potentilla fragarioides +Potentilla freyniana var. freyniana +Potentilla fruticosa var. albicans +Potentilla fruticosa var. arbuscula +Potentilla fruticosa var. fruticosa +Potentilla fruticosa var. pumila +Potentilla gelida +Potentilla glabra var. glabra +Potentilla glabra var. mandshurica +Potentilla glabra var. veitchii +Potentilla gombalana +Potentilla granulosa +Potentilla griffithii var. griffithii +Potentilla griffithii var. velutina +Potentilla hololeuca +Potentilla hypargyrea var. hypargyrea +Potentilla hypargyrea var. subpinnata +Potentilla inclinata +Potentilla kleiniana +Potentilla lancinata +Potentilla leuconota var. brachyphyllaria +Potentilla leuconota var. leuconota +Potentilla lineata +Potentilla longifolia +Potentilla macrosepala +Potentilla microphylla var. luteopilosa +Potentilla microphylla var. microphylla +Potentilla microphylla var. tapetodes +Potentilla multicaulis +Potentilla multiceps +Potentilla multifida var. multifida +Potentilla multifida var. nubigena +Potentilla multifida var. ornithopoda +Potentilla nervosa +Potentilla pamiroalaica +Potentilla parvifolia var. armerioides +Potentilla parvifolia var. hypoleuca +Potentilla parvifolia var. parvifolia +Potentilla peduncularis var. peduncularis +Potentilla plumosa +Potentilla polyphylla var. interrupta +Potentilla polyphylla var. polyphylla +Potentilla potaninii var. compsophylla +Potentilla potaninii var. potaninii +Potentilla reptans var. sericophylla +Potentilla saundersiana var. caespitosa +Potentilla saundersiana var. jacquemontii +Potentilla saundersiana var. saundersiana +Potentilla saundersiana var. subpinnata +Potentilla sericea var. polyschista +Potentilla sericea var. sericea +Potentilla simulatrix +Potentilla sischanensis var. peterae +Potentilla sischanensis var. sischanensis +Potentilla stenophylla var. emergens +Potentilla stenophylla var. stenophylla +Potentilla supina +Potentilla tanacetifolia +Potentilla taronensis +Potentilla turfosa var. gracilescens +Potentilla turfosa var. turfosa +Potentilla virgata var. pinnatifida +Potentilla virgata var. virgata +Potentilla xizangensis +Prinsepia uniflora var. serrata +Prinsepia utilis +Prunus armeniaca var. holosericea +Prunus buergeriana +Prunus cerasoides +Prunus clarofolia +Prunus conadenia +Prunus cornuta var. cornuta +Prunus cornuta var. integrifolia +Prunus crataegifolia +Prunus mira +Prunus mume +Prunus napaulensis +Prunus obtusata +Prunus rufa var. rufa +Prunus rufa var. trichantha +Prunus salicina var. pubipes +Prunus salicina var. salicina +Pygeum henryi +Pygeum macrocarpum +Pygeum wilsonii var. wilsonii +Pyracantha angustifolia +Pyracantha crenulata +Pyracantha fortuneana +Pyrus betulifolia +Pyrus bretschneideri +Pyrus pashia +Pyrus pseudopashia +Pyrus pyrifolia +Pyrus ussuriensis +Pyrus xerophila +Rosa acicularis +Rosa albertii +Rosa banksiae var. banksiae +Rosa banksiae var. normalis +Rosa brunonii +Rosa calyptopoda +Rosa chinensis +Rosa cymosa var. cymosa +Rosa davidii +Rosa deqenensis +Rosa derongensis +Rosa duplicata +Rosa fedtschenkoana +Rosa filipes +Rosa forrestiana f. forrestiana +Rosa forrestiana f. glandulosa +Rosa giraldii +Rosa glomerata +Rosa graciliflora +Rosa helenae f. duplicata +Rosa helenae f. glandulifera +Rosa helenae f. helenae +Rosa hugonis +Rosa laxa var. kaschgarica +Rosa laxa var. laxa +Rosa lichiangensis +Rosa longicuspis var. longicuspis +Rosa longicuspis var. sinowilsonii +Rosa lucidissima +Rosa ludingensis +Rosa macrophylla var. glandulifera +Rosa macrophylla var. macrophylla +Rosa mairei +Rosa moyesii +Rosa multibracteata +Rosa multiflora var. carnea +Rosa multiflora var. cathayensis +Rosa multiflora var. multiflora +Rosa murielae +Rosa odorata var. gigantea +Rosa odorata var. odorata +Rosa omeiensis var. omeiensis +Rosa omeiensis var. paucijuga +Rosa omeiensis var. pteracantha +Rosa persetosa +Rosa pinnatisepala f. glandulosa +Rosa pinnatisepala f. pinnatisepala +Rosa praelucens +Rosa prattii +Rosa primula +Rosa pseudobanksiae +Rosa roxburghii f. esetosa +Rosa roxburghii f. normalis +Rosa roxburghii f. roxburghii +Rosa rubus +Rosa sericea f. glandulosa +Rosa sericea f. pteracantha +Rosa sericea f. sericea +Rosa sertata var. multijuga +Rosa sertata var. sertata +Rosa setipoda +Rosa sikangensis +Rosa sinobiflora +Rosa soulieana var. microphylla +Rosa soulieana var. soulieana +Rosa soulieana var. sungpanensis +Rosa soulieana var. yunnanensis +Rosa sweginzowii var. glandulosa +Rosa sweginzowii var. sweginzowii +Rosa taronensis +Rosa tibetica +Rosa tsinglingensis +Rosa webbiana +Rosa weisiensis +Rosa willmottiae var. glandulifera +Rosa willmottiae var. willmottiae +Rosa xanthina +Rosa zhongdianensis +Rubus alexeterius var. acaenocalyx +Rubus alexeterius var. alexeterius +Rubus amabilis var. amabilis +Rubus amabilis var. microcarpus +Rubus angustibracteatus +Rubus assamensis +Rubus aurantiacus +Rubus austrotibetanus +Rubus biflorus var. adenophorus +Rubus biflorus var. biflorus +Rubus biflorus var. pubescens +Rubus calycinus +Rubus chroosepalus +Rubus chrysobotrys var. chrysobotrys +Rubus clivicola +Rubus cockburnianus +Rubus coreanus var. coreanus +Rubus coreanus var. tomentosus +Rubus delavayi +Rubus doyonensis +Rubus ellipticus var. ellipticus +Rubus ellipticus var. obcordatus +Rubus erythrocarpus var. erythrocarpus +Rubus erythrocarpus var. weixiensis +Rubus eucalyptus +Rubus flosculosus +Rubus fockeanus +Rubus fragarioides var. adenophorus +Rubus fragarioides var. fragarioides +Rubus fragarioides var. pubescens +Rubus fuscifolius +Rubus gongshanensis var. gongshanensis +Rubus gongshanensis var. qiujiangensis +Rubus gyamdaensis +Rubus hypargyrus +Rubus hypopitys var. hanmiensis +Rubus hypopitys var. hypopitys +Rubus idaeopsis +Rubus inopertus var. inopertus +Rubus irritans +Rubus lambertianus var. glaber +Rubus lambertianus var. lambertianus +Rubus lasiostylus var. lasiostylus +Rubus laxus +Rubus lineatus +Rubus lutescens +Rubus macilentus +Rubus mesogaeus var. mesogaeus +Rubus mesogaeus var. oxycomus +Rubus metoensis +Rubus multisetosus +Rubus niveus +Rubus nyalamensis +Rubus paniculatus +Rubus parvifolius var. adenochlamys +Rubus pectinarioides +Rubus pectinellus +Rubus pedunculosus +Rubus pentagonus +Rubus phoenicolasius +Rubus pileatus +Rubus playfairianus +Rubus pluribracteatus +Rubus poliophyllus +Rubus polyodontus +Rubus pseudopileatus var. glabratus +Rubus pseudopileatus var. kangdingensis +Rubus pseudopileatus var. pseudopileatus +Rubus ptilocarpus +Rubus pungens var. linearisepalus +Rubus pungens var. oldhamii +Rubus pungens var. pungens +Rubus reticulatus +Rubus rubrisetulosus +Rubus rufus +Rubus sachalinensis +Rubus setchuenensis +Rubus sikkimensis +Rubus stans var. soulieanus +Rubus stans var. stans +Rubus stimulans +Rubus subinopertus +Rubus subornatus var. melanadenus +Rubus subornatus var. subornatus +Rubus subtibetanus var. subtibetanus +Rubus sumatranus +Rubus taronensis +Rubus thibetanus +Rubus treutleri +Rubus tricolor +Rubus trijugus +Rubus wallichianus +Rubus wardii +Rubus xanthocarpus +Sanguisorba diandra +Sanguisorba filiformis +Sanguisorba officinalis +Sibbaldia adpressa +Sibbaldia cuneata +Sibbaldia glabriuscula +Sibbaldia micropetala +Sibbaldia pentaphylla +Sibbaldia perpusilloides +Sibbaldia phanerophlebia +Sibbaldia procumbens var. aphanopetala +Sibbaldia pulvinata +Sibbaldia purpurea var. macropetala +Sibbaldia purpurea var. purpurea +Sibbaldia sikkimensis +Sibbaldia tenuis +Sibbaldia tetrandra +Sibiraea angustata +Sibiraea laevigata +Sibiraea tomentosa +Sorbaria arborea var. arborea +Sorbaria arborea var. glabrata +Sorbaria arborea var. subtomentosa +Sorbaria kirilowii +Sorbaria tomentosa +Sorbus albopilosa +Sorbus aronioides +Sorbus astateria +Sorbus coronata var. coronata +Sorbus coronata var. glabrescens +Sorbus cuspidata +Sorbus epidendron +Sorbus filipes +Sorbus foliolosa +Sorbus glomerulata +Sorbus helenae +Sorbus hemsleyi +Sorbus hupehensis +Sorbus insignis +Sorbus keissleri +Sorbus kiukiangensis var. glabrescens +Sorbus kiukiangensis var. kiukiangensi +Sorbus koehneana +Sorbus lanpingensis +Sorbus megacarpus +Sorbus meliosmifolia +Sorbus microphylla +Sorbus monbeigii +Sorbus multijuga +Sorbus ochracea +Sorbus oligodonta +Sorbus pallescens +Sorbus poteriifolia +Sorbus prattii var. aestivalis +Sorbus prattii var. prattii +Sorbus pteridophylla var. pteridophylla +Sorbus pteridophylla var. tephroclada +Sorbus reducta var. pubescens +Sorbus reducta var. reducta +Sorbus rehderiana var. cupreonitens +Sorbus rehderiana var. grosseserrata +Sorbus rehderiana var. rehderiana +Sorbus rhamnoides +Sorbus rufopilosa +Sorbus salwinensis +Sorbus sargentiana +Sorbus setschwanensis +Sorbus subochracea +Sorbus tapashana +Sorbus thibetica +Sorbus thomsonii +Sorbus tianschanica +Sorbus ursina +Sorbus vilmorinii +Sorbus wilsoniana +Sorbus zayuensis +Spenceria ramalana +Spiraea alpina +Spiraea aquilegifolia +Spiraea arcuata +Spiraea bella var. bella +Spiraea bella var. pubicarpa +Spiraea calcicola +Spiraea canescens var. canescens +Spiraea canescens var. glaucophylla +Spiraea compsophylla +Spiraea daochengensis +Spiraea henryi +Spiraea japonica var. acuminata +Spiraea japonica var. acuta +Spiraea japonica var. fortunei +Spiraea japonica var. incisa +Spiraea japonica var. ovalifolia +Spiraea japonica var. pinnatifida +Spiraea laeta var. laeta +Spiraea laeta var. tenuis +Spiraea lichiangensis +Spiraea lobulata +Spiraea longigemmis +Spiraea mollifolia var. glabrata +Spiraea mollifolia var. mollifolia +Spiraea mongolica var. mongolica +Spiraea mongolica var. tomentulosa +Spiraea muliensis +Spiraea myrtilloides +Spiraea ovalis +Spiraea papillosa var. papillosa +Spiraea papillosa var. yunnanensis +Spiraea purpurea +Spiraea rosthornii +Spiraea sargentiana +Spiraea schneideriana var. amphidoxa +Spiraea schneideriana var. schneideriana +Spiraea siccanea +Spiraea sublobata +Spiraea veitchii +Spiraea velutina var. glabrescens +Spiraea velutina var. velutina +Spiraea wilsonii +Spiraea xizangensis +Spiraea yunnanensis +Stranvaesia davidiana var. davidiana +Stranvaesia davidiana var. undulata +Stranvaesia nussia +Elaeagnus angustata +Elaeagnus bockii var. bockii +Elaeagnus bockii var. muliensis +Elaeagnus delavayi +Elaeagnus henryi +Elaeagnus kanaii +Elaeagnus lanceolata +Elaeagnus lanpingensis +Elaeagnus multiflora +Elaeagnus pallidiflora +Elaeagnus umbellata +Elaeagnus viridis +Elaeagnus xizangensis +Hippophae gyantsensis +Hippophae neurocarpa +Hippophae rhamnoides subsp. sinensis +Hippophae rhamnoides subsp. turkestanica +Hippophae rhamnoides subsp. yunnanensis +Hippophae salicifolia +Hippophae tibetana +Berchemia edgeworthii +Berchemia flavescens +Berchemia floribunda +Berchemia hirtella +Berchemia longipedicellata +Berchemia polyphylla +Berchemia sinica +Berchemia yunnanensis +Hovenia acerba var. acerba +Hovenia acerba var. kiukiangensis +Paliurus orientalis +Rhamnella forrestii +Rhamnella gilgitica +Rhamnella julianae +Rhamnella martinii +Rhamnella wilsonii +Rhamnus dumetorum var. crenoserrata +Rhamnus dumetorum var. dumetorum +Rhamnus erythroxylum +Rhamnus flavescens +Rhamnus gilgiana +Rhamnus hemsleyana var. hemsleyana +Rhamnus henryi +Rhamnus heterophylla +Rhamnus leptophylla +Rhamnus maximovicziana +Rhamnus minuta +Rhamnus napalensis +Rhamnus nigricans +Rhamnus ninglangensis +Rhamnus parvifolia +Rhamnus procumbens +Rhamnus prostrata +Rhamnus rosthornii +Rhamnus sargentiana +Rhamnus tangutica +Rhamnus utilis var. szechuanensis +Rhamnus utilis var. utilis +Rhamnus virgata var. hirsuta +Rhamnus virgata var. virgata +Rhamnus xizangensis +Sageretia brandrethiana +Sageretia filiformis +Sageretia gracilis +Sageretia hamosa +Sageretia henryi +Sageretia horrida +Sageretia paucicostata +Sageretia pycnophylla +Sageretia thea var. thea +Sageretia thea var. tomentosa +Ziziphus incurva +Ziziphus jujuba var. spinosa +Ziziphus mairei +Ziziphus montana +Ziziphus xiangchengensis +Celtis biondii +Celtis bungeana +Celtis cerasifera +Celtis julianae +Celtis tetrandra +Celtis timorensis +Pteroceltis tatarinowii +Trema levigata +Trema orientalis +Ulmus androssowii var. subhirsuta +Ulmus bergmanniana var. bergmanniana +Ulmus bergmanniana var. lasiophylla +Ulmus changii var. kunmingensis +Ulmus davidiana var. japonica +Ulmus glaucescens var. glaucescens +Ulmus glaucescens var. lasiocarpa +Ulmus kunmingensis +Ulmus laevis +Ulmus macrocarpa +Ulmus microcarpa +Zelkova serrata +Zelkova sinica +Cannabis sativa +Capparis bodinieri +Capparis spinosa +Humulus lupulus +Artocarpus gongshanensis +Artocarpus heterophyllus +Broussonetia kazinoki +Broussonetia kurzii +Broussonetia papyrifera +Ficus auriculata +Ficus chapaensis +Ficus concinna +Ficus cyrtophylla +Ficus esquiroliana +Ficus filicauda var. filicauda +Ficus filicauda var. longipes +Ficus fulva +Ficus glaberrima +Ficus hederacea +Ficus henryi +Ficus heteromorpha +Ficus ischnopoda +Ficus laevis +Ficus neriifolia +Ficus oligodon +Ficus prostrata +Ficus pubigera +Ficus sarmentosa var. duclouxii +Ficus sarmentosa var. luducca +Ficus sarmentosa var. nipponica +Ficus sarmentosa var. sarmentosa +Ficus semicordata +Ficus subincisa +Ficus subulata +Ficus tikoua +Ficus tinctoria subsp. gibbosa +Ficus virens +Maclura cochinchinensis +Maclura fruticosa +Maclura tricuspidata +Morus alba +Morus australis +Morus deqenensis +Morus macroura +Morus mongolica +Morus notabilis +Boehmeria clidemioides var. clidemioides +Boehmeria clidemioides var. diffusa +Boehmeria glomerulifera +Boehmeria macrophylla var. canescens +Boehmeria macrophylla var. rotundifolia +Boehmeria penduliflora +Boehmeria polystachya +Boehmeria spicata +Boehmeria umbrosa +Chamabainia cuspidata +Debregeasia longifolia +Debregeasia orientalis +Debregeasia saeneb +Dendrocnide sinuata +Droguetia iners subsp. urticoides +Elatostema acutitepalum +Elatostema auriculatum var. auriculatum +Elatostema auriculatum var. strigosum +Elatostema beibengense +Elatostema boehmerioides +Elatostema cuneiforme var. cuneiforme +Elatostema cuneiforme var. gracilipes +Elatostema cuspidatum var. cuspidatum +Elatostema cuspidatum var. dolichoceras +Elatostema didymocephalum +Elatostema dulongense +Elatostema eriocephalum +Elatostema ferrugineum +Elatostema ficoides +Elatostema grandidentatum +Elatostema gungshanense +Elatostema hookerianum +Elatostema imbricans +Elatostema integrifolium +Elatostema involucratum +Elatostema laevissimum +Elatostema laxicymosum +Elatostema lineolatum +Elatostema litseifolium +Elatostema macintyrei +Elatostema medogense +Elatostema monandrum +Elatostema nasutum +Elatostema obtusum +Elatostema pachyceras +Elatostema papillosum +Elatostema parvum var. brevicuspis +Elatostema platyceras +Elatostema platyphyllum +Elatostema procridioides +Elatostema pseudocuspidatum +Elatostema pseudoficoides +Elatostema recticaudatum +Elatostema sinense +Elatostema subcuspidatum +Elatostema tenuicaudatoides +Elatostema tetratepalum +Elatostema yangbiense +Elatostema yui +Girardinia diversifolia subsp. diversifolia +Girardinia diversifolia subsp. triloba +Gonostegia hirta +Laportea bulbifera +Laportea cuspidata +Laportea medogensis +Lecanthus peduncularis +Lecanthus petelotii var. corniculata +Lecanthus petelotii var. yunnanensis +Maoutia puya +Oreocnide frutescens subsp. frutescens +Oreocnide frutescens subsp. occidentalis +Oreocnide integrifolia +Parietaria micrantha +Pellionia heteroloba +Pilea angulata +Pilea anisophylla +Pilea approximata var. approximata +Pilea approximata var. incisoserrata +Pilea auricularis +Pilea bracteosa +Pilea cordifolia +Pilea glaberrima +Pilea hilliana +Pilea insolens +Pilea japonica +Pilea linearifolia +Pilea longipedunculata +Pilea macrocarpa +Pilea martinii +Pilea medogensis +Pilea melastomoides +Pilea monilifera +Pilea multicellularis +Pilea myriantha +Pilea oxyodon +Pilea pauciflora +Pilea pellionioides +Pilea peperomioides +Pilea plataniflora +Pilea pseudonotata +Pilea pumila var. obtusifolia +Pilea pumila var. pumila +Pilea pumila var. umbrosa +Pilea racemosa +Pilea salwinensis +Pilea scripta +Pilea semisessilis +Pilea sinofasciata +Pilea squamosa +Pilea ternifolia +Pilea umbrosa var. obesa +Pilea verrucosa +Poikilospermum lanceolatum +Pouzolzia argenteonitida +Pouzolzia calophylla +Pouzolzia sanguinea var. elegans +Pouzolzia sanguinea var. sanguinea +Procris crenata +Sarcochlamys pulcherrima +Urtica ardens +Urtica atrichocaulis +Urtica cannabina +Urtica dioica subsp. afghanica +Urtica dioica subsp. dioica +Urtica dioica subsp. gansuensis +Urtica fissa +Urtica hyperborea +Urtica kunlunshanica +Urtica laetevirens subsp. cyanescen +Urtica laetevirens subsp. laetevirens +Urtica mairei +Urtica membranifolia +Urtica triangularis subsp. pinnatifida +Urtica triangularis subsp. triangularis +Urtica triangularis subsp. trichocarpa +Urtica urens +Castanea mollissima +Castanopsis delavayi +Castanopsis echinocarpa +Castanopsis hystrix +Castanopsis indica +Castanopsis longispina +Castanopsis orthacantha +Castanopsis rockii +Castanopsis tribuloides +Castanopsis wattii +Cyclobalanopsis augustinii +Cyclobalanopsis delavayi +Cyclobalanopsis fleuryi +Cyclobalanopsis gambleana +Cyclobalanopsis glauca +Cyclobalanopsis glaucoides +Cyclobalanopsis gracilis +Cyclobalanopsis kiukiangensis var. kiukiangensis +Cyclobalanopsis kiukiangensis var. xizangensis +Cyclobalanopsis lamellosa +Cyclobalanopsis lobbii +Cyclobalanopsis motuoensis +Cyclobalanopsis myrsinifolia +Cyclobalanopsis oxyodon +Cyclobalanopsis semiserrata +Fagus longipetiolata +Lithocarpus arcaulus +Lithocarpus cleistocarpus var. omeiensis +Lithocarpus collettii +Lithocarpus confinis +Lithocarpus craibianus +Lithocarpus dealbatus subsp. dealbatus +Lithocarpus dealbatus subsp. mannii +Lithocarpus fenestratus +Lithocarpus gracilipes +Lithocarpus grandifolius +Lithocarpus hancei +Lithocarpus hypoglaucus +Lithocarpus listeri +Lithocarpus litseifolius var. litseifolius +Lithocarpus mairei +Lithocarpus obscurus +Lithocarpus pachyphyllus +Lithocarpus pakhaensis +Lithocarpus pasania +Lithocarpus pseudoxizangensis +Lithocarpus variolosus +Lithocarpus xizangensis +Quercus acrodonta +Quercus aliena var. acutiserrata +Quercus aliena var. aliena +Quercus aquifolioides +Quercus baronii +Quercus cocciferoides +Quercus dentata var. dentata +Quercus dolicholepis +Quercus engleriana +Quercus fabri +Quercus franchetii +Quercus griffithii +Quercus guajavifolia +Quercus lanata +Quercus lodicosa +Quercus malacotricha +Quercus mongolica +Quercus monimotricha +Quercus rehderiana +Quercus semecarpifolia +Quercus senescens +Quercus serrata var. serrata +Quercus spathulata var. elliptica +Quercus spathulata var. spathulata +Quercus spinosa +Quercus variabilis +Quercus yunnanensis +Myrica esculenta +Myrica nana +Carya tonkinensis +Engelhardtia aceriflora +Engelhardtia colebrookiana +Engelhardtia spicata +Juglans cathayensis +Juglans sigillata +Platycarya strobilacea +Pterocarya delavayi +Pterocarya insignis +Pterocarya stenoptera +Alnus cremastogyne +Alnus ferdinandi-coburgii +Alnus lanata +Alnus nepalensis +Betula albo-sinensis +Betula alnoides +Betula calcicola +Betula cylindrostachya +Betula delavayi var. delavayi +Betula delavayi var. microstachya +Betula delavayi var. polyneura +Betula fargesii +Betula gynoterminalis +Betula insignis +Betula jiulungensis +Betula luminifera +Betula platyphylla +Betula potaninii +Betula rhombibracteata +Betula tianschanica +Betula utilis +Carpinus cordata var. mollis +Carpinus fargesiana +Carpinus monbeigiana +Carpinus polyneura +Carpinus tschonoskii +Carpinus viminea var. chiukiangensis +Carpinus viminea var. viminea +Corylus chinensis +Corylus ferox var. ferox +Corylus ferox var. thibetica +Corylus heterophylla var. sutchuenensis +Corylus mandshurica +Corylus wangii +Corylus yunnanensis +Ostrya japonica +Ostryopsis davidiana +Ostryopsis nobilis +Coriaria nepalensis +Coriaria terminalis +Actinostemma tenerum +Bolbostemma biglandulosum var. sinuato-lobulatum +Edgaria darjeelingensis +Gynostemma aggregatum +Gynostemma longipes +Gynostemma pentaphyllum +Hemsleya amabilis +Hemsleya delavayi var. delavayi +Hemsleya dulongjiangensis +Hemsleya endecaphylla +Hemsleya graciliflora +Hemsleya lijiangensis +Hemsleya macrocarpa var. grandiflora +Herpetospermum pedunculosum +Hodgsonia heteroclita +Indofevillea khasiana +Momordica cochinchinensis +Momordica subangulata subsp. renigera +Mukia maderaspatana +Neoalsomitra clavigera +Schizopepon bicirrhosus +Schizopepon bomiensis +Schizopepon dioicus var. dioicus +Schizopepon longipes +Schizopepon macranthus +Schizopepon xizangensis +Sinobaijiania yunnanensis +Solena heterophylla +Thladiantha cordifolia +Thladiantha dentata +Thladiantha dubia +Thladiantha grandisepala +Thladiantha hookeri +Thladiantha lijiangensis +Thladiantha longifolia +Thladiantha longisepala +Thladiantha maculata +Thladiantha medogensis +Thladiantha montana +Thladiantha nudiflora +Thladiantha oliveri +Thladiantha setispina +Thladiantha villosula +Trichosanthes cordata +Trichosanthes cucumeroides var. dicoelosperma +Trichosanthes dunniana +Trichosanthes lepiniana +Trichosanthes pilosa +Trichosanthes rosthornii +Trichosanthes rubriflos +Trichosanthes subrosea +Trichosanthes tricuspidata +Trichosanthes wallichiana +Zehneria bodinieri +Zehneria japonica +Begonia acetosella +Begonia asperifolia +Begonia ceratocarpa +Begonia flaviflora +Begonia grandis subsp. sinensis +Begonia hatacoa +Begonia henryi +Begonia imitans +Begonia josephii +Begonia labordei +Begonia muliensis +Begonia palmata var. crassisetulosa +Begonia palmata var. palmata +Begonia picta +Begonia sikkimensis +Begonia taliensis +Celastrus angulatus +Celastrus gemmatus +Celastrus glaucophyllus var. glaucophyllus +Celastrus glaucophyllus var. rugosus +Celastrus hindsii +Celastrus hirsutus +Celastrus hookeri +Celastrus membranifolius +Celastrus monospermus +Celastrus paniculatus +Celastrus rosthornianus var. loeseneri +Celastrus rosthornianus var. rosthornianus +Celastrus stylosus +Celastrus vaniotii +Euonymus acanthocarpus +Euonymus alatus +Euonymus amygdalifolius +Euonymus attenunatus +Euonymus austro-tibetanus +Euonymus carnosus +Euonymus ceratophorus +Euonymus clivicola var. clivicola +Euonymus clivicola var. rongchuensis +Euonymus cornutus +Euonymus dasydictyon +Euonymus echinatus +Euonymus fimbriatus +Euonymus frigidus var. frigidus +Euonymus frigidus var. wardii +Euonymus fugongensis +Euonymus giraldii +Euonymus gongshanensis +Euonymus grandiflorus +Euonymus hamiltonianus +Euonymus laxiflorus +Euonymus lichiangensis +Euonymus lucidus +Euonymus maackii +Euonymus microcarpus +Euonymus monbeigii +Euonymus nanoides +Euonymus nanus +Euonymus phellomanus +Euonymus porphyreus var. ellipticus +Euonymus porphyreus var. porphyreus +Euonymus roseperulatus +Euonymus sanguineus var. brevipedunculatus +Euonymus sanguineus var. camptoneurus +Euonymus sanguineus var. sanguineus +Euonymus semenovii +Euonymus theifolius +Euonymus tibeticus +Euonymus tingens +Euonymus vagans +Euonymus verrucosoides var. apertus +Euonymus verrucosoides var. verrucosoides +Euonymus verrucosoides var. viridiflorus +Euonymus viburnoides +Euonymus zogangensis +Gymnosporia berberoides +Gymnosporia rufa +Microtropis discolor +Microtropis macrophylla +Microtropis tetragona +Parnassia angustipetala +Parnassia brevistyla +Parnassia cacuminum +Parnassia chinensis +Parnassia cooperi +Parnassia cordata +Parnassia crassifolia +Parnassia degeensis +Parnassia deqenensis +Parnassia epunctulata +Parnassia farreri +Parnassia filchneri +Parnassia kangdingensis +Parnassia lanceolata +Parnassia lijiangensis +Parnassia longipetala var. brevipetala +Parnassia longipetala var. longipetala +Parnassia longipetala var. striata +Parnassia longipetaloides +Parnassia lutea +Parnassia mysorensis +Parnassia noemiae +Parnassia oreophila +Parnassia palustris +Parnassia pusilla +Parnassia qinghaiensis +Parnassia scaposa +Parnassia submysorensis +Parnassia subscaposa +Parnassia tenella +Parnassia trinervis +Parnassia venusta +Parnassia viridiflora +Parnassia wightiana +Parnassia yanyuanensis +Parnassia yui +Parnassia yulongshanensis +Parnassia yunnanensis var. longistipitata +Parnassia yunnanensis var. yunnanensis +Tripterygium wilfordii +Oxalis corniculata +Oxalis griffithii +Oxalis leucolepis +Elaeocarpus braceanus +Elaeocarpus brachystachyus +Elaeocarpus dubius +Elaeocarpus harmandii +Elaeocarpus japonicus var. japonicus +Elaeocarpus japonicus var. lantsangensis +Elaeocarpus lacunosus +Elaeocarpus lanceifolius +Elaeocarpus petiolatus +Elaeocarpus prunifolioides +Elaeocarpus rugosus +Elaeocarpus sikkimensis +Elaeocarpus varunua +Sloanea dasycarpa +Sloanea hemsleyana +Sloanea mollis +Sloanea rotundifolia +Sloanea sterculiacea +Acalypha mairei +Acalypha schneideriana +Acalypha supera +Balakata baccata +Baliospermum bilobatum +Baliospermum solanifolium +Cleidion spiciflorum +Croton euryphyllus +Croton yunnanensis var. yunnanensis +Discocleidion rufescens +Euphorbia altotibetica +Euphorbia donii +Euphorbia esula +Euphorbia griffithii +Euphorbia heishuiensis +Euphorbia helioscopia +Euphorbia hirta +Euphorbia humifusa +Euphorbia hylonoma +Euphorbia hypericifolia +Euphorbia jolkinii +Euphorbia kansuensis +Euphorbia micractina +Euphorbia prolifera +Euphorbia pseudosikkimensis +Euphorbia sericocarpa +Euphorbia sieboldiana +Euphorbia stracheyi +Euphorbia thymifolia +Euphorbia tibetica +Euphorbia wallichii +Excoecaria acerifolia +Homonoia riparia +Jatropha curcas +Macaranga denticulata +Macaranga indica +Macaranga pustulata +Mallotus barbatus var. barbatus +Mallotus nepalensis +Mallotus philippensis var. philippensis +Mallotus repandus var. chrysocarpus +Mallotus repandus var. repandus +Mercurialis leiocarpa +Ostodes katharinae +Ostodes paniculata +Ricinus communis +Speranskia cantonensis +Speranskia tuberculata +Triadica sebifera +Vernicia fordii +Antidesma montana +Breynia patens +Flueggea suffruticosa +Glochidion daltonii +Glochidion hirsutum +Glochidion medogense +Glochidion nubigenum +Glochidion thomsonii +Leptopus chinensis +Leptopus clarkei +Phyllanthus clarkei +Phyllanthus emblica +Phyllanthus flexuosus +Phyllanthus forrestii +Phyllanthus glaucus +Phyllanthus tsarongensis +Phyllanthus urinaria +Securinega leucopyrus +Aspidopterys floribunda +Aspidopterys glabriuscula +Hiptage acuminata +Passiflora cupiformis +Passiflora wilsonii +Casearia glomerata +Homalium ceylanicum +Idesia polycarpa var. polycarpa +Poliothyrsis sinensis +Populus ×gansuensis +Populus adenopoda +Populus afghanica var. afghanica +Populus afghanica var. tadishistanica +Populus cathayana var. cathayana +Populus cathayana var. latifolia +Populus ciliata var. ciliata +Populus ciliata var. gyirongensis +Populus ciliata var. weixi +Populus davidiana var. davidiana +Populus davidiana var. tomentella +Populus euphratica +Populus glauca +Populus haoana var. haoana +Populus haoana var. macrocarpa +Populus haoana var. microcarpa +Populus kangdingensis +Populus lancifolia +Populus lasiocarpa +Populus mainlingensis +Populus pamirica +Populus przewalskii +Populus pseudoglauca +Populus purdomii var. purdomii +Populus purdomii var. rockii +Populus qamdoensis +Populus schneideri +Populus simonii +Populus szechuanica var. szechuanica +Populus szechuanica var. tibetica +Populus trinervis +Populus wilsonii +Populus wuana +Populus xiangchengensis +Populus yatungensis var. crenata +Populus yatungensis var. pedicellata +Populus yatungensis var. yatungensis +Populus yuana +Populus yunnanensis +Salix acuminatomicrophylla +Salix alba +Salix alfredi +Salix amphibola +Salix annulifera var. annulifera +Salix annulifera var. dentata +Salix annulifera var. glabra +Salix annulifera var. macriula +Salix anticecrenata +Salix argyracea +Salix argyrophegga +Salix argyrotrichocarpa +Salix atopantha +Salix babylonica var. babylonica +Salix babylonica var. glandulipilosa +Salix balfouriana +Salix bangongensis +Salix bhutanensis +Salix biondiana +Salix bistyla +Salix brachista var. brachista +Salix brachista var. integra +Salix brachista var. pilifera +Salix calyculata var. calyculata +Salix calyculata var. gongshanica +Salix capusii +Salix cathayana +Salix cavaleriei +Salix characta +Salix cheilophila var. cheilophila +Salix cheilophila var. microstachyoides +Salix chingiana +Salix clathrata +Salix coggygria +Salix contortiapiculata +Salix crenata +Salix daliensis +Salix daltoniana +Salix dalungensis +Salix delavayana var. delavayana +Salix delavayana var. glabra +Salix delavayana var. pilososuturalis +Salix denticulata +Salix dibapha +Salix dissa +Salix divergentistyla +Salix driophila +Salix ernestii +Salix faxonianoides var. faxonianoides +Salix faxonianoides var. villosa +Salix fedtschenkoi +Salix fengiana var. fengiana +Salix fengiana var. gymnocarpa +Salix flabellaris +Salix floccosa var. floccosa +Salix floccosa var. leoigyne +Salix gilashanica +Salix glareorum +Salix guebriantiana +Salix gyamdaensis +Salix gyirongensis +Salix heishuiensis +Salix heteromera var. concolor +Salix heteromera var. heteromera +Salix hirticaulis +Salix hylonoma +Salix hypoleuca +Salix iliensis +Salix insignis +Salix jinchuanica +Salix juparica var. juparica +Salix juparica var. tibetica +Salix kamanica +Salix kangdingensis +Salix karelinii +Salix kongbanica +Salix kungmuensis +Salix lamashanensis +Salix lanifera +Salix lasiopes +Salix lindleyana +Salix longiflora +Salix longistamina +Salix luctuosa +Salix maerkangensis +Salix magnifica var. apetala +Salix magnifica var. magnifica +Salix magnifica var. ulotricha +Salix maizhokunggarensis +Salix matsudana +Salix medogensis +Salix microphyta +Salix minjiangensis +Salix moupinensis +Salix muliensis +Salix myrtillacea +Salix neoamnematchinensis +Salix nujiangensis +Salix obscura +Salix occidentali-sinensis +Salix ochetophylla +Salix opsimantha +Salix oreinoma +Salix oreophila var. oreophila +Salix oreophila var. secta +Salix oritrepha var. amnematchinensis +Salix oritrepha var. oritrepha +Salix ovatomicrophylla +Salix paraflabellaris +Salix paraheterochroma +Salix paraplesia var. paraplesia +Salix paraplesia var. pubescens +Salix paraplesia var. subintegra +Salix paratetradenia var. paratetradenia +Salix paratetradenia var. yatungensis +Salix parvidenticulata +Salix pella +Salix pentandra +Salix phanera var. phanera +Salix phanera var. weixiensis +Salix pilosomicrophylla +Salix piptotricha +Salix plocotricha +Salix pseudospissa +Salix pseudo-wallichiana +Salix pseudowolohoensis +Salix psilostigma +Salix pycnostachya var. oxycarpa +Salix pycnostachya var. pycnostachya +Salix radinostachya +Salix rehderiana var. dolia +Salix rehderiana var. rehderiana +Salix resecta +Salix resectoides +Salix rhododendrifolia +Salix rosmarinifolia +Salix sajanensis +Salix salwinensis +Salix sclerophylla var. obtusa +Salix sclerophylla var. sclerophylla +Salix sclerophylla var. tibetica +Salix sclerophylloides +Salix scopulicola +Salix sericocarpa +Salix serpyllum +Salix shandanensis +Salix sikkimensis +Salix sinica var. dentata +Salix sinica var. sinica +Salix sinopurpurea +Salix souliei +Salix spathulifolia var. glabra +Salix spathulifolia var. spathulifolia +Salix sphaeronymphe +Salix sphaeronymphoides +Salix spodiophylla +Salix tangii var. villosa +Salix taoensis var. glabra +Salix taoensis var. taoensis +Salix tenella +Salix tetrasperma +Salix trichocarpa +Salix vaccinioides +Salix variegata +Salix wallichiana +Salix wangiana +Salix weixiensis +Salix wilhelmsiana var. latifolia +Salix wilhelmsiana var. wilhelmsiana +Salix wolohoensis +Salix wuxuhaiensis +Salix xiaoguangshanica +Salix xizangensis +Salix yadongensis +Salix zangica +Salix zayulica +Salix zhegushanica +Xylosma congesta +Xylosma controversum var. controversum +Xylosma longifolium +Viola belophylla +Viola betonicifolia +Viola biflora var. biflora +Viola biflora var. rockiana +Viola bulbosa +Viola chaerophylloides +Viola confertifolia +Viola delavayi +Viola diffusa +Viola dimorphophylla +Viola dissecta +Viola fargesii +Viola forrestiana +Viola kunawarensis +Viola lactiflora +Viola milingensis +Viola moupinensis +Viola pendulicarpa +Viola philippica  +Viola pilosa +Viola rockiana +Viola striatella +Viola szetschwanensis var. humilis +Viola szetschwanensis var. kangdiensis +Viola szetschwanensis var. nudicaulis +Viola szetschwanensis var. szetschwanensis +Viola tenuicornis  +Viola thomsonii +Viola tienschiensis +Viola trichopetala +Viola urophylla var. urophylla +Viola yunnanfuensis +Gynocardia odorata +Anisadenia pubescens +Linum pallescens +Linum perenne +Reinwardtia indica +Garcinia esculenta +Garcinia nujiangensis +Garcinia pedunculata +Garcinia tetralata +Hypericum acmosepalum +Hypericum addingtonii +Hypericum augustinii +Hypericum bellum +Hypericum choisyanum +Hypericum curvisepalum +Hypericum elliptifolium +Hypericum elodeoides +Hypericum forrestii +Hypericum gramineum +Hypericum henryi subsp. uraloides +Hypericum himalaicum +Hypericum japonicum +Hypericum kingdonii +Hypericum lancasteri +Hypericum maclarenii +Hypericum monanthemum subsp. filicaule +Hypericum monanthemum subsp. monanthemum +Hypericum patulum +Hypericum petiolulatum subsp. petiolulatum +Hypericum petiolulatum subsp. yunnanense +Hypericum przewalskii +Hypericum pseudohenryi +Hypericum reptans +Hypericum uralum +Hypericum wightianum +Erodium cicutarium +Erodium stephanianum +Erodium tibetanum +Geranium camaense +Geranium carolinianum +Geranium collinum +Geranium dahuricum +Geranium delavayi +Geranium donianum +Geranium farreri +Geranium franchetii var. franchetii +Geranium himalayense +Geranium hispidissimum +Geranium lambertii +Geranium moupinense +Geranium napuligerum +Geranium nepalense +Geranium ocellatum +Geranium platyanthum +Geranium pogonanthum +Geranium polyanthes +Geranium pratense +Geranium pylzowianum +Geranium refractum +Geranium robertianum +Geranium sinense +Geranium strictipes +Geranium umbelliforme +Geranium wallichianum +Geranium wilfordii +Geranium yunnanense +Combretum wallichii +Terminalia franchetii var. franchetii +Terminalia franchetii var. intricata +Terminalia myriocarpa var. hirsuta +Terminalia myriocarpa var. myriocarpa +Lagerstroemia minuticarpa +Rotala rosea +Rotala rotundifolia +Trapa natans +Chamerion angustifolium subsp. angustifolium +Chamerion angustifolium subsp. circumvagum +Chamerion conspersum +Chamerion latifolium +Chamerion speciosum +Circaea alpina subsp. alpina +Circaea alpina subsp. angustifolia +Circaea alpina subsp. imaicola +Circaea alpina subsp. micrantha +Circaea cordata +Circaea glabrescens +Circaea mollis +Circaea repens +Epilobium amurense subsp. amurense +Epilobium amurense subsp. cephalostigma +Epilobium blinii +Epilobium brevifolium subsp. brevifolium +Epilobium brevifolium subsp. trichoneurum +Epilobium cylindricum +Epilobium fangii +Epilobium fastigiatoramosum +Epilobium gouldii +Epilobium hirsutum +Epilobium kermodei +Epilobium kingdonii +Epilobium minutiflorum +Epilobium palustre +Epilobium pannosum +Epilobium platystigmatosum +Epilobium royleanum +Epilobium sikkimense +Epilobium sinense +Epilobium subcoriaceum +Epilobium tibetanum +Epilobium wallichianum +Epilobium williamsii +Ludwigia epilobioides +Syzygium balsameum +Syzygium cathayense +Syzygium cumini var. cumini +Syzygium forrestii +Syzygium salwinense +Syzygium xizangense +Allomorphia howellii +Medinilla petelotii +Medinilla rubicunda +Melastoma malabathricum +Memecylon caeruleum +Osbeckia nepalensis var. albiflora +Osbeckia nepalensis var. nepalensis +Osbeckia stellata +Oxyspora cernua +Oxyspora paniculata +Oxyspora vagans +Oxyspora yunnanensis +Phyllagathis longiradiosa +Plagiopetalum serratum var. serratum +Sarcopyramis napalensis +Sonerila cantonensis +Sporoxeia sciadophila +Euscaphis japonica +Stachyurus chinensis +Stachyurus cordatulus +Stachyurus himalaicus +Stachyurus yunnanensis +Turpinia cochinchinensis +Turpinia macrosperma +Turpinia pomifera var. minor +Turpinia pomifera var. pomifera +Biebersteinia heterostemon +Biebersteinia odora +Nitraria roborowskii +Nitraria sibirica +Nitraria tangutorum +Peganum harmala +Peganum multisectum +Canarium strictum +Garuga forrestii +Choerospondias axillaris +Cotinus coggygria var. glaucophylla +Cotinus nana +Cotinus szechuanensis +Dobinea delavayi +Dobinea vulgaris +Pegia nitida +Pistacia chinensis +Pistacia weinmanniifolia +Rhus chinensis +Rhus punjabensis var. pilosa +Rhus punjabensis var. sinica +Toxicodendron acuminatum +Toxicodendron delavayi var. delavayi +Toxicodendron grandiflorum var. grandiflorum +Toxicodendron griffithii var. barbatum +Toxicodendron hookeri +Toxicodendron succedaneum +Toxicodendron sylvestre +Toxicodendron vernicifluum +Toxicodendron wallichii var. microcarpum +Toxicodendron wallichii var. wallichii +Acer amplum subsp. amplum +Acer caesium subsp. caesium +Acer caesium subsp. giraldii +Acer campbellii var. campbellii +Acer campbellii var. serratifolium +Acer cappadocicum subsp. cappadocicum +Acer cappadocicum subsp. sinicum +Acer caudatum +Acer ceriferum +Acer chienii +Acer davidii +Acer erianthum +Acer eucalyptoides +Acer flabellatum +Acer forrestii +Acer fulvescens +Acer kungshanense +Acer laevigatum var. laevigatum +Acer laevigatum var. salweenense +Acer laisuense +Acer lanpingense +Acer laurinum +Acer laxiflorum +Acer machilifolium +Acer maximowiczii +Acer motuoensis +Acer oblongum +Acer oligocarpum +Acer oliverianum +Acer paxii +Acer pectinatum f. caudatilobum +Acer pectinatum subsp. pectinatum +Acer pectinatum subsp. taronense +Acer pentaphyllum +Acer pictum subsp. macropterum +Acer pubipetiolatum +Acer schneiderianum var. pubescens +Acer schneiderianum var. schneiderianum +Acer shenkanense +Acer sikkimense +Acer sinense +Acer stachyophyllum subsp. betulifolium +Acer stachyophyllum subsp. stachyophyllum +Acer sterculiaceum subsp. franchetii +Acer sterculiaceum subsp. sterculiaceum +Acer tataricum subsp. ginnala +Acer thomsonii +Acer tibetense +Acer tonkinense +Acer wardii +Acer wilsonii +Acer yui var. leptocarpum +Acer yui var. yui +Aesculus chinensis var. wilsonii +Allophylus chartaceus +Dipteronia sinensis +Eurycorymbus cavaleriei +Sapindus delavayi +Boenninghausenia albiflora +Boenninghausenia sessilicarpa +Citrus aurantiifolia +Citrus latipes +Citrus medica +Dictamnus dasycarpus +Glycosmis xizangensis +Melicope pteleifolia +Micromelum integerrimum +Murraya euchrestifolia +Phellodendron chinense var. glabriusculum +Skimmia arborescens +Skimmia melanocarpa +Tetradium bijiangensis +Tetradium daniellii +Tetradium fraxinifolium +Tetradium glabrifolium +Tetradium gongshanensis +Tetradium pteleifolia +Tetradium ruticarpum +Tetradium triphylla +Toddalia asiatica +Zanthoxylum acanthopodium +Zanthoxylum armatum +Zanthoxylum bungeanum +Zanthoxylum dimorphophyllum +Zanthoxylum dissitum var. dissitum +Zanthoxylum esquirolii +Zanthoxylum jiuzhaigouensis +Zanthoxylum macranthum +Zanthoxylum motuoense +Zanthoxylum nitidum var. nitidum +Zanthoxylum oxyphyllum +Zanthoxylum piasezkii +Zanthoxylum pilosulum +Zanthoxylum schinifolium +Zanthoxylum tomentellum +Ailanthus altissima var. altissima +Ailanthus altissima var. sutchuenensis +Brucea mollis +Picrasma javanica +Picrasma quassioides +Aglaia elaeagnoidea +Aglaia lawii +Chukrasia tabularis +Cipadessa baccifera +Dysoxylum excelsum +Dysoxylum medogense +Heynea trijuga +Munronia pinnata +Toona ciliata +Toona sinensis +Walsura xizangensis +Dipentodon sinicus +Abelmoschus manihot +Abutilon indicum +Abutilon paniculatum +Ambroma augustum +Corchorus olitorius +Craigia yunnanensis +Grewia biloba var. biloba +Grewia brachypoda +Hibiscus austroyunnanensis +Hibiscus fragrans +Hibiscus trionum +Malva pusilla +Malva verticillata var. rafiqii +Malva verticillata var. verticillata +Malvastrum coromandelianum +Melochia corchorifolia +Paradombeya sinensis +Pterospermum acerifolium +Reevesia pubescens +Sida acuta +Sida alnifolia var. alnifolia +Sida cordifolia +Sida szechuensis +Sterculia euosma +Sterculia hamiltonii +Sterculia lanceifolia +Tilia callidonta +Tilia chinensis var. chinensis +Tilia chinensis var. intonsa +Tilia chinensis var. investita +Tilia likiangensis +Tilia paucicostata var. paucicostata +Tilia paucicostata var. yunnanensis +Triumfetta annua +Triumfetta cana +Triumfetta pilosa +Triumfetta rhomboidea +Urena lobata +Daphne acutiloba +Daphne aurantiaca +Daphne bholua var. bholua +Daphne bholua var. glacialis +Daphne gemmata +Daphne giraldii +Daphne holosericea var. holosericea +Daphne holosericea var. thibetensis +Daphne longilobata +Daphne macrantha +Daphne modesta +Daphne myrtilloides +Daphne papyracea var. papyracea +Daphne purpurascens +Daphne retusa +Daphne rosmarinifolia +Daphne tangutica var. tangutica +Daphne tenuiflora var. tenuiflora +Daphne wangiana +Edgeworthia composita +Edgeworthia gardneri +Stellera chamaejasme +Wikstroemia alternifolia +Wikstroemia baimashanensis subsp. callitricha +Wikstroemia canescens +Wikstroemia capitata +Wikstroemia capitatoracemosa +Wikstroemia chamaedaphne +Wikstroemia delavayi +Wikstroemia dolichantha +Wikstroemia haoii +Wikstroemia indica +Wikstroemia lichiangensis +Wikstroemia ligustrina +Wikstroemia lungtzeensis +Wikstroemia micrantha var. micrantha +Wikstroemia scytophylla +Wikstroemia stenophylla +Wikstroemia techinensis +Oligomeris linifolia +Cleome yunnanensis +Clethra delavayi +Clethra monostachya var. lancilimba +Alyssum canescens +Aphragmus oxycarpus +Aphragmus tibeticus +Arabidopsis qaranica +Arabidopsis stricta +Arabidopsis thaliana +Arabidopsis wallichii +Arabis alaschanica +Arabis attenuata +Arabis axilliflora +Arabis hirsuta +Arabis paniculata var. paniculata +Arabis paniculata var. parviflora +Arabis pendula +Arabis pterosperma +Arabis tibetica +Atelanthera perpusilla +Barbarea intermedia +Barbarea orthoceras +Braya forrestii var. forrestii +Braya forrestii var. puberula +Braya rosea var. aenea +Braya rosea var. glabrata +Braya rosea var. rosea +Braya scharnhorstii +Braya siliquosa +Braya tibetica f. linearifolia +Braya tibetica f. sinuata +Braya tibetica f. tibetica +Capsella bursa-pastoris +Cardamine calcicola +Cardamine caroides +Cardamine circaeoides +Cardamine delavayi +Cardamine flexuosa +Cardamine franchetiana +Cardamine gracilis +Cardamine granulifera +Cardamine griffithii +Cardamine hirsuta +Cardamine hydrocotyloides +Cardamine impatiens +Cardamine longistyla +Cardamine loxostemonoides +Cardamine macrophylla var. diplodonta +Cardamine macrophylla var. macrophylla +Cardamine macrophylla var. polyohylla +Cardamine microzyga var. duplolobata +Cardamine microzyga var. microzyga +Cardamine muliensis +Cardamine multiflora +Cardamine pulchella +Cardamine purpurescens +Cardamine repens +Cardamine rockii +Cardamine simplex +Cardamine stenoloba +Cardamine tangutorum +Cardamine trifoliolata +Cardamine yunnanensis var. obtusata +Cardamine yunnanensis var. yunnanensis +Cardaria draba subsp. chalepensis +Cardaria pubescens +Chorispora macropoda +Chorispora tashkorganica +Christolea crassifolia +Christolea niyaensis +Christolea pinnatifida +Coelonema draboides +Conringia planisiliqua +Crucihimalaya lasiocarpa +Crucihimalaya mollissima +Crucihimalaya stricta +Crucihimalaya wallichii +Descurainia sophia +Descurainia sophioides +Desideria baiogoinensis +Desideria flabellata +Desideria himalayensis +Desideria linearis +Desideria prolifera +Desideria pumila +Desideria stewartii +Dilophia ebracteata +Dilophia salsa +Dipoma iberideum +Dontostemon glandulosus +Dontostemon integrifolius +Dontostemon pinnatus +Dontostemon tibeticus +Draba altaica var. altaica +Draba altaica var. microcarpa +Draba altaica var. modesta +Draba altaica var. racemosa +Draba amplexicaulis var. amplexicaulis +Draba amplexicaulis var. dolichocarpa +Draba balangshanica +Draba borealis +Draba calcicola +Draba dasyastra +Draba elata +Draba ellipsoidea +Draba eriopoda +Draba fladnizensis +Draba glomerata var. dasycarpa +Draba glomerata var. glomerata +Draba gracillima +Draba granitica +Draba handelii +Draba incompta +Draba involucrata var. involucrata +Draba involucrata var. lasiocarpa +Draba jucunda +Draba ladyginii var. ladyginii +Draba ladyginii var. thichocarpa +Draba lanceolata +Draba lasiophylla var. lasiophylla +Draba lasiophylla var. leiocarpa +Draba lichiangensis +Draba linearifolia +Draba macrophylla +Draba matangensis +Draba mongolica var. mongolica +Draba mongolica var. trichocarpa +Draba moupinensis +Draba nemorosa +Draba oreades +Draba oreodoxa +Draba parviflora +Draba piepunensis +Draba remotiflora +Draba rockii +Draba senilis +Draba serpens +Draba setosa +Draba sikkimensis +Draba stenocarpa var. leiocarpa +Draba stenocarpa var. stenocarpa +Draba subamplexicaulis +Draba surculosa +Draba tibetica var. duthiei +Draba tibetica var. tibetica +Draba turczaninowii +Draba wardii +Draba winterbottomii var. stracheyi +Draba winterbottomii var. winterbottomii +Draba yunnanensis +Eruca sative var. eriocarpa +Eruca vesicaria +Erysimum benthamii +Erysimum bungei +Erysimum cheiranthoides +Erysimum deflexum +Erysimum flavum +Erysimum forrestii +Erysimum funiculosum +Erysimum handel-mazzettii +Erysimum hieraciifolium +Erysimum macilentum +Erysimum roseum +Erysimum schlagintweitianum +Erysimum wardii +Eurycarpus lanuginosus +Eurycarpus marinellii +Eutrema deltoideum var. deltoideum +Eutrema deltoideum var. grandiflorum +Eutrema edwardsii +Eutrema heterophyllum +Eutrema himalaicum +Eutrema obliquum +Eutrema yunnanense +Goldbachia laevigata +Hedinia taxkorganica +Hedinia tibetica +Hemilophia franchetii var. franchetii +Hemilophia franchetii var. pilosa +Hemilophia pulchella var. pulchella +Hemilophia rockii +Ianhedgea minutiflora +Leiospora eriocalyx +Lepidium apetalum +Lepidium capitatum +Lepidium cuneiforme +Lepidium latifolium var. affine +Lepidium latifolium var. latifolium +Lepidium obtusum +Lepidium ruderale +Lepidostemon rosularis +Lignariella serpens +Malcolmia africana +Malcolmia hispida +Megacarpaea delavayi +Megacarpaea megalocarpa +Megacarpaea polyandra +Megadenia pygmaea +Nasturtium officinale +Neotorularia brachycarpa +Neotorularia brevipes +Neotorularia conferta +Neotorularia humilis +Neotorularia parva +Neotorularia tibetica +Neotorularia torulosa +Olimarabidopsis pumila +Oreoloma eglandulosum +Oreoloma matthioloides +Parrya nudicaulis +Parrya pinnatifida +Pegaeophyton scapiflorum var. pilosicalyx +Pegaeophyton scapiflorum var. scapiflorum +Phaeonychium albiflorum +Phaeonychium kashgaricum +Phaeonychium parryoides +Phaeonychium villosum +Platycraspedum tibeticum +Platycraspedum wuchengyii +Pycnoplinthus uniflora +Raphanus raphanistroides +Raphanus raphanistrum +Rorippa dubia +Rorippa elata +Rorippa globosa +Rorippa indica +Rorippa islandica +Rorippa palustris +Sinosophiopsis heishuiensis +Sisymbriopsis mollipila +Sisymbriopsis shuanghuica +Sisymbriopsis yechengica +Sisymbrium brassiciforme +Sisymbrium heteromallum +Sisymbrium luteum +Sisymbrium oxycarpus +Sisymbrium polymorphum +Smelowskia alba +Smelowskia calycina +Solms-laubachia ciliaris +Solms-laubachia eurycarpa var. brevistipes +Solms-laubachia eurycarpa var. eurycarpa +Solms-laubachia floribunda +Solms-laubachia lanata +Solms-laubachia linearifolia +Solms-laubachia minor +Solms-laubachia pamirica +Solms-laubachia platycarpa +Solms-laubachia pulcherrima +Solms-laubachia xerophyta +Sophiopsis sisymbrioides +Sterigmostemum grandiflorum +Taphrospermum altaicum +Taphrospermum fontanum subsp. fontanum +Taphrospermum fontanum subsp. microspermum +Taphrospermum verticillatum +Tauscheria lasiocarpa +Thlaspi andersonii +Thlaspi arvense +Thlaspi cochleariforme +Thlaspi flagelliferum +Thlaspi yunnanense +Yinshania acutangula subsp. wilsonii +Yinshania zayuensis +Balanophora dioica +Balanophora harlandii +Balanophora involucrata +Balanophora laxiflora +Balanophora polyandra +Rhopalocnemis phalloides +Erythropalum scandens +Arceuthobium chinense +Arceuthobium oxycedri +Arceuthobium pini +Arceuthobium sichuanense +Dendrotrophe granulata +Dendrotrophe platyphylla +Korthalsella japonica var. fasciculata +Korthalsella japonica var. japonica +Osyris wightiana +Phacellaria compressa +Pyrularia edulis +Thesium bomiense +Thesium emodi +Thesium jarmilae +Thesium longiflorum +Thesium longifolium +Thesium refractum +Thesium saxattile +Thesium tongolicum +Viscum album var. meridianum +Viscum articulatum var. articulatum +Viscum fargesii +Viscum liquidambaricola +Viscum nudum +Dendrophthoe pentandra +Elytranthe parasitica +Helixanthera parasitica +Helixanthera sampsonii +Helixanthera terrestris +Loranthus delavayi +Loranthus lambertianus +Loranthus ligustrinus +Macrosolen cochinchinensis +Scurrula atropurpurea +Scurrula buddleioides +Scurrula elata +Scurrula parasitica +Taxillus caloreas var. caloreas +Taxillus caloreas var. fargesii +Taxillus delavayi var. barbatus +Taxillus delavayi var. delavayi +Taxillus delavayi var. yanjingensis +Taxillus nigrans +Taxillus sutchuenensis var. duclouxii +Taxillus sutchuenensis var. sutchuenensis +Taxillus thibetensis +Taxillus umbellifer +Schoepfia fragrans +Schoepfia jasminodora +Myricaria bracteata +Myricaria elegans +Myricaria paniculata +Myricaria prostrata +Myricaria rosea +Myricaria squamosa +Myricaria wardii +Reaumuria kaschgarica +Reaumuria soongarica +Tamarix arceuthoides +Tamarix austromongolica +Tamarix chinensis +Tamarix elongata +Tamarix gansuensis +Tamarix gracilis +Tamarix hispida +Tamarix hohenackeri +Tamarix karelinii +Tamarix laxa +Tamarix leptostachys +Tamarix ramosissima +Acantholimon alatavicum +Acantholimon borodinii +Acantholimon diapensioides +Acantholimon hedinii +Acantholimon kokandense +Acantholimon lycopodioides +Acantholimon popovii +Acantholimon tianschanicum +Ceratostigma griffithii +Ceratostigma minus +Ceratostigma ulicinum +Ceratostigma willmottianum +Limonium aureum var. aureum +Limonium aureum var. maduoensis +Limonium bicolor +Limonium callianthum +Limonium kaschgaricum +Limonium lacostei +Limonium macrorhabdos +Limonium potaninii +Plumbagella micrantha +Plumbago zeylanica +Antenoron filiforme var. filiforme +Antenoron filiforme var. kachinum +Antenoron filiforme var. neofiliforme +Atraphaxis bracteata +Atraphaxis pungens +Calligonum kozlovi +Calligonum mongolicum +Calligonum zaidamense +Fagopyrum gilesii +Fagopyrum gracilipes +Fagopyrum leptopodum +Fagopyrum tataricum +Fagopyrum urophyllum +Fallopia aubertii +Fallopia convolvulus +Fallopia cynanchoides var. cynanchoides +Fallopia cynanchoides var. glabriuscula +Fallopia dentatoalata +Fallopia multiflora var. multiflora +Koenigia islandica +Oxyria digyna +Oxyria sinensis +Parapteropyrum tibeticum +Polygonum affine +Polygonum alpinum +Polygonum amphibium +Polygonum amplexicaule +Polygonum aviculare +Polygonum barbatum +Polygonum campanulatum var. campanulatum +Polygonum campanulatum var. fulvidum +Polygonum capitatum +Polygonum chinense var. chinense +Polygonum chinense var. ovalifolium +Polygonum chinense var. paradoxum +Polygonum cognatum +Polygonum coriaceum +Polygonum cyanandrum +Polygonum delicatulum +Polygonum divaricatum +Polygonum emodi var. dependens +Polygonum emodi var. emodi +Polygonum filicaule +Polygonum forrestii +Polygonum glaciale +Polygonum griffithii +Polygonum hastato-sagittatum +Polygonum hookeri +Polygonum hydropiper +Polygonum japonicum +Polygonum kawagoeanum +Polygonum lapathifolium var. lapathifolium +Polygonum lapathifolium var. salicifolium +Polygonum lichiangense +Polygonum longisetum +Polygonum macrophyllum var. macrophyllum +Polygonum macrophyllum var. stenophyllum +Polygonum microcephalum var. microcephalum +Polygonum microcephalum var. sphaerocephalum +Polygonum milletii +Polygonum molle var. frondosum +Polygonum molle var. molle +Polygonum molle var. rude +Polygonum muricatum +Polygonum nepalense +Polygonum nummularifolium +Polygonum orientale +Polygonum paleaceum var. paleaceum +Polygonum paronychioides +Polygonum perfoliatum +Polygonum plebeium +Polygonum polystachyum var. longifolium +Polygonum polystachyum var. polystachyum +Polygonum runcinatum var. runcinatum +Polygonum runcinatum var. sinense +Polygonum sibiricum var. sibiricum +Polygonum sibiricum var. thomsonii +Polygonum sinomontanum +Polygonum sparsipilosum var. hubertii +Polygonum sparsipilosum var. sparsipilosum +Polygonum strigosum +Polygonum suffultum var. pergracile +Polygonum suffultum var. suffultum +Polygonum taquetii +Polygonum thunbergii +Polygonum tibeticum +Polygonum tortuosum +Polygonum vaccinifolium +Polygonum viviparum +Polygonum wallichii +Reynoutria japonica +Rheum acuminatum +Rheum alexandrae +Rheum australe +Rheum delavayi +Rheum forrestii +Rheum globulosum +Rheum hotaoense +Rheum inopinatum +Rheum kialense +Rheum lhasaense +Rheum likiangense +Rheum moorcroftianum +Rheum nobile +Rheum officinale +Rheum palmatum +Rheum przewalskyi +Rheum pumilum +Rheum reticulatum +Rheum rhomboideum +Rheum spiciforme +Rheum tanguticum +Rheum tibeticum +Rheum uninerve +Rheum webbianum +Rheum wittrockii +Rheum yunnanense +Rumex acetosa +Rumex angulatus +Rumex aquaticus +Rumex crispus +Rumex dentatus +Rumex hastatus +Rumex kaschgaricus +Rumex nepalensis +Rumex patientia +Drosera peltata +Arenaria amdoensis +Arenaria auricoma +Arenaria barbata var. barbata +Arenaria barbata var. hirsutissima +Arenaria baxoiensis +Arenaria blinkworthii +Arenaria bomiensis +Arenaria brevipetala +Arenaria bryophylla +Arenaria capillaris +Arenaria cerastiiformis +Arenaria chamdoensis +Arenaria ciliolata +Arenaria debilis +Arenaria delavayi +Arenaria densissima +Arenaria dimorphitricha +Arenaria dsharaensis +Arenaria edgeworthiana +Arenaria euodonta +Arenaria festucoides +Arenaria filipes +Arenaria fimbriata +Arenaria forrestii +Arenaria fridericae +Arenaria galiiformis +Arenaria gerzensis +Arenaria glanduligera +Arenaria haitzeshanensis +Arenaria inconspicua +Arenaria inornata +Arenaria ionandra var. ionandra +Arenaria ionandra var. melanotricha +Arenaria ischnophylla +Arenaria kansuensis +Arenaria lancangensis +Arenaria leucasteria +Arenaria littledalei +Arenaria longipes +Arenaria longiseta +Arenaria longistyla var. eugonophylla +Arenaria longistyla var. longistyla +Arenaria longistyla var. pleurogynoides +Arenaria melanandra +Arenaria melandryiformis +Arenaria melandryoides +Arenaria membranisepala +Arenaria microstella +Arenaria minima +Arenaria monilifera +Arenaria monosperma +Arenaria napuligera var. monocephala +Arenaria napuligera var. napuligera +Arenaria neelgherrensis +Arenaria nigricans +Arenaria nivalomontana +Arenaria orbiculata +Arenaria oreophila +Arenaria pogonantha +Arenaria polysperma +Arenaria polytrichoides +Arenaria przewalskii +Arenaria pseudostellaria +Arenaria pulvinata +Arenaria puranensis +Arenaria quadridentat +Arenaria ramellata +Arenaria reducta +Arenaria rhodantha +Arenaria roborowskii +Arenaria rockii +Arenaria roseiflora +Arenaria saginoides +Arenaria serpyllifolia +Arenaria setifera +Arenaria shannanensis +Arenaria smithiana +Arenaria spathulifolia +Arenaria stracheyi +Arenaria szechuensis +Arenaria trichophora +Arenaria trichophylla +Arenaria tumengelaensis +Arenaria weissiana var. bifida +Arenaria weissiana var. puberula +Arenaria weissiana var. weissiana +Arenaria xerophila var. xerophila +Arenaria xerophila var. xiangchengensis +Arenaria yulongshanensis +Arenaria yunnanensis var. caespitosa +Arenaria yunnanensis var. yunnanensis +Arenaria zadoiensis +Arenaria zhongdianensis +Brachystemma calycinum +Cerastium arvense +Cerastium caespitosum +Cerastium cerastoides +Cerastium fontanum subsp. grandiflorum +Cerastium fontanum subsp. tibetica +Cerastium fontanum subsp. vulgare +Cerastium furcatum +Cerastium glomeratum +Cerastium limprichtii +Cerastium pumilum +Cerastium pusillum +Cerastium szechuense +Cerastium thomsonii +Dianthus orientalis +Dianthus superbus +Drymaria cordata +Drymaria villosa +Gymnocarpos przewalskii +Gypsophila cephalotes +Gypsophila cerastioides +Gypsophila patrinii +Lepyrodiclis holosteoides +Melandrium apetalum var. himalayense +Melandrium apetalum var. pallidum +Melandrium apricum var. rutoense +Melandrium asclepiadeum +Melandrium caespitella +Melandrium cashmeriana +Melandrium fimbriatum +Melandrium glandulosum var. hexapetalum +Melandrium glandulosum var. longistylum +Melandrium himalayensis +Melandrium jugorum +Melandrium lhassanum +Melandrium linearifolium +Melandrium namlaense +Melandrium nangqenensis +Melandrium napuligerum +Melandrium nepalensis +Melandrium nigrescens +Melandrium nutans +Melandrium pilosum +Melandrium puranense +Melandrium qomolangmacense +Melandrium rubricalyx +Melandrium silene +Melandrium viscidulum +Melandrium wardii +Melandrium xainzaense +Melandrium zhongbaense +Minuartia kashmirica +Minuartia verna +Myosoton aquaticum +Psammosilene tunicoides +Pseudostellaria davidii +Pseudostellaria heterantha var. heterantha +Pseudostellaria heterantha var. nepalensis +Pseudostellaria heterophylla +Pseudostellaria himalaica +Pseudostellaria maximowicziana +Pseudostellaria sylvatica +Pseudostellaria tibetica +Sagina japonica +Sagina saginoides +Silene adenocalyx +Silene asclepiadea var. asclepiadea +Silene asclepiadea var. dumicola +Silene atrocastanea +Silene atsaensis +Silene baccifera +Silene batangensis +Silene bilingua +Silene caespitella +Silene cardiopetala +Silene cashmeriana +Silene chodatii var. chodatii +Silene chodatii var. pygmaea +Silene chungtienensis +Silene conoidea +Silene davidii +Silene dawoensis +Silene delavayi +Silene dumetosa +Silene esquamata +Silene firma +Silene fortunei +Silene gonosperma +Silene gracilicaulis +Silene graminifolia +Silene grandiflora +Silene herbilegorum +Silene himalayensis +Silene huguettiae var. huguettiae +Silene huguettiae var. pilosa +Silene indica var. indica +Silene jenisseensis +Silene kantzeensis +Silene karaczukuri +Silene khasiana +Silene kialensis +Silene kumaonensis +Silene lamarum +Silene lhassana +Silene lichiangensis +Silene lineariloba +Silene markamensis +Silene melanantha +Silene monbeigii +Silene moorcroftiana +Silene muliensis +Silene nangqenensis +Silene napuligera +Silene nepalensis +Silene nigrescens subsp. latifolia +Silene oblanceolata +Silene otodonta +Silene platyphylla var. platyphylla +Silene platyphylla var. praticola +Silene principis +Silene pubicalycina +Silene pubistyla +Silene repens +Silene rosiflora +Silene rubricalyx +Silene salicifolia +Silene scopulorum +Silene stewartiana +Silene subcretacea +Silene trachyphylla +Silene viscidula +Silene yeti +Silene yunnanensis +Silene zayuensis +Silene zhoui +Spergularia marina +Stellaria alaschanica +Stellaria alsine var. alpina +Stellaria arenarioides +Stellaria brachypetala +Stellaria congestiflora +Stellaria crassifolia var. crassifolia +Stellaria crassifolia var. linearis +Stellaria decumbens var. acicularis +Stellaria decumbens var. arenarioides +Stellaria decumbens var. decumbens +Stellaria decumbens var. polyantha +Stellaria decumbens var. pulvinata +Stellaria delavayi +Stellaria dianthifolia +Stellaria dichotoma +Stellaria discolor +Stellaria graminea var. chinensis +Stellaria graminea var. graminea +Stellaria graminea var. lanceolata +Stellaria graminea var. pilosula +Stellaria graminea var. shinensis +Stellaria gyirongensis +Stellaria infracta +Stellaria lanata +Stellaria lanipes +Stellaria mainlingensis +Stellaria media var. media +Stellaria monosperma var. monosperma +Stellaria monosperma var. paniculata +Stellaria neglecta +Stellaria nepalensis +Stellaria nyalamensis +Stellaria ovatifolia +Stellaria palustris +Stellaria patens +Stellaria petiolaris +Stellaria pilosoides +Stellaria soongorica +Stellaria souliei +Stellaria subumbellata +Stellaria tibetica +Stellaria uda +Stellaria umbellata +Stellaria vestita var. amplexicaulis +Stellaria vestita var. vestita +Stellaria winkleri +Stellaria yunnanensis +Stellaria zangnanensis +Thylacospermum caespitosum +Vaccaria hispanica +Achyranthes aspera var. aspera +Achyranthes aspera var. indica +Achyranthes bidentata +Acroglochin persicarioides +Aerva glabrata +Agriophyllum squarrosum +Alternanthera pungens +Amaranthus blitum +Amaranthus cruentus +Amaranthus hypochondriacus +Amaranthus retroflexus +Amaranthus roxburghianus +Amaranthus viridis +Archiatriplex nanpinensis +Atriplex centralasiatica var. centralasiatica +Atriplex centralasiatica var. megalotheca +Atriplex fera +Atriplex patens +Atriplex sibirica +Atriplex tatarica +Axyris amaranthoides +Axyris hybrida +Axyris prostrata +Baolia bracteata +Ceratoides compacta var. longipilosa +Chenopodium acuminatum +Chenopodium ficifolium +Chenopodium glaucum +Chenopodium hybridum +Chenopodium iljinii +Chenopodium karoi +Chenopodium tibeticum +Corispermum declinatum +Corispermum dutreuilii +Corispermum falcatum +Corispermum heptapotamicum +Corispermum lepidocarpum +Corispermum lhasaense +Corispermum mongolicum +Corispermum pamiricum var. pamiricum +Corispermum pamiricum var. pilocarpum +Corispermum pseudofalcatum +Corispermum stauntonii +Corispermum tibeticum +Corispermum tylocarpum +Cyathula capitata +Cyathula officinalis +Cyathula tomentosa +Deeringia amaranthoides +Dysphania aristata +Dysphania botrys +Dysphania schraderiana +Halogeton arachnoideus +Halogeton glomeratus var. glomeratus +Halogeton glomeratus var. tibeticus +Haloxylon ammodendron +Kalidium caspicum +Kalidium cuspidatum var. sinicum +Kalidium foliatum +Kalidium gracile +Kochia melanoptera +Kochia prostrata +Kochia scoparia +Krascheninnikovia arborescens +Krascheninnikovia ceratoides +Krascheninnikovia compacta var. compacta +Microgynoecium tibeticum +Nanophyton erinaceum +Salicornia europaea +Salsola abrotanoides +Salsola arbuscula +Salsola chinghaiensis +Salsola collina +Salsola heptapotamica +Salsola implicata +Salsola laricifolia +Salsola monoptera +Salsola nepalensis +Salsola passerina +Salsola paulsenii +Salsola pellucida +Salsola tragus +Salsola zaidamica +Suaeda corniculata +Suaeda glauca +Suaeda heterophylla +Suaeda paradoxa +Suaeda prostrata +Suaeda salsa +Sympegma regelii +Phytolacca acinosa +Phytolacca americana +Phytolacca polyandra +Boerhavia diffusa +Commicarpus chinensis +Oxybaphus himalaicus var. chinensis +Mollugo stricta +Talinum paniculatum +Portulaca oleracea +Opuntia monacantha +Alangium alpinum +Alangium chinense subsp. chinense +Alangium chinense subsp. pauciflorum +Alangium chinense subsp. strigosum +Alangium chinense subsp. triangulare +Alangium faberi var. dolichocarpum +Alangium platanifolium var. trilobum +Camptotheca acuminata +Cornus alba +Cornus capitata +Cornus chinensis +Cornus controversa +Cornus hemsleyi +Cornus macrophylla var. macrophylla +Cornus macrophylla var. stracheyi +Cornus oblonga var. glabrescens +Cornus oblonga var. griffithii +Cornus oblonga var. oblonga +Cornus quinquenervis +Cornus schindleri var. schindleri +Cornus ulotricha +Cornus walteri +Davidia involucrata var. vilmoriniana +Nyssa javanica +Nyssa javannica +Swida monbeigii var. polifolia +Toricellia angulata +Toricellia tiliifolia +Deutzia bomiensis +Deutzia calycosa var. calycosa +Deutzia calycosa var. xerophyta +Deutzia compacta +Deutzia corymbosa var. corymbosa +Deutzia discolor +Deutzia glomeruliflora var. glomeruliflora +Deutzia glomeruliflora var. lichiangensis +Deutzia grandiflora +Deutzia hookeriana +Deutzia longifolia var. longifolia +Deutzia monbeigii +Deutzia purpurascens +Deutzia rehderiana +Deutzia rubens +Deutzia setchuenensis +Deutzia staminea +Deutzia subulata +Dichroa febrifuga +Dichroa yunnanensis +Hydrangea anomala +Hydrangea aspera +Hydrangea bretschneideri +Hydrangea davidii +Hydrangea heteromalla +Hydrangea hypoglauca +Hydrangea longipes var. fulvescens +Hydrangea longipes var. longipes +Hydrangea longipes var. rosthornii +Hydrangea macrocarpa +Hydrangea robusta +Hydrangea strigosa var. angustifolia +Hydrangea strigosa var. strigosa +Hydrangea stylosa +Hydrangea sungpanensis +Hydrangea xanthoneura +Philadelphus delavayi var. delavayi +Philadelphus delavayi var. melanocalyx +Philadelphus delavayi var. trichocladus +Philadelphus henryi var. henryi +Philadelphus incanus +Philadelphus kansuensis +Philadelphus lushuiensis +Philadelphus pekinensis +Philadelphus purpurascens var. purpurascens +Philadelphus purpurascens var. venustus +Philadelphus subcanus var. magdalenae +Philadelphus subcanus var. subcans +Philadelphus tomentosus +Pileostegia viburnoides +Schizophragma crassum var. hsitaoanum +Schizophragma integrifolium var. glaucescens +Schizophragma integrifolium var. integrifolium +Impatiens amplexicaulis +Impatiens apsotis +Impatiens arguta +Impatiens bahanensis +Impatiens barbata +Impatiens bicornuta +Impatiens bracteata +Impatiens ceratophora +Impatiens chimiliensis +Impatiens chiulungensis +Impatiens chungtienensis +Impatiens corchorifolia +Impatiens cornucopia +Impatiens crassicaudex +Impatiens cristata +Impatiens cuonaensis +Impatiens cymbifera +Impatiens delavayi +Impatiens desmantha +Impatiens dimorphophylla +Impatiens drepanophora +Impatiens falcifer +Impatiens forrestii +Impatiens fragicolor +Impatiens hengduanensis +Impatiens holocentra +Impatiens infirma +Impatiens laxiflora +Impatiens lecomtei +Impatiens linghziensis +Impatiens longipes +Impatiens margaritifera var. humilis +Impatiens margaritifera var. margaritifera +Impatiens margaritifera var. purpurascens +Impatiens microcentra +Impatiens noli-tangere +Impatiens nubigena +Impatiens nyimana +Impatiens oligoneura +Impatiens platyceras +Impatiens pseudo-kingii +Impatiens puberula +Impatiens purpurea +Impatiens racemosa var. ecalcarata +Impatiens racemosa var. racemosa +Impatiens radiata +Impatiens rectangula +Impatiens rubro-striata +Impatiens scabrida +Impatiens serrata +Impatiens siculifer var. siculifer +Impatiens soulieana +Impatiens stenantha +Impatiens subecalcarata +Impatiens sulcata +Impatiens taronensis +Impatiens tenerrima +Impatiens tenuibracteata +Impatiens thiochroa +Impatiens thomsonii +Impatiens tomentella +Impatiens tortisepala +Impatiens tsangshanensis +Impatiens tuberculata +Impatiens uliginosa +Impatiens urticifolia +Impatiens vittata +Impatiens weihsiensis +Impatiens xanthina var. xanthina +Impatiens xanthocephala +Polemonium caeruleum var. caeruleum +Polemonium chinense +Sladenia celastrifolia +Adinandra hirta +Adinandra latifolia +Cleyera japonica var. wallichiana +Eurya acuminata +Eurya cavinervis +Eurya chuekiangensis +Eurya crassilimba +Eurya gracilipes +Eurya groffii +Eurya gungshanensis +Eurya handel-mazzettii +Eurya pseudocerasifera +Eurya pyracanthifolia +Eurya trichocarpa +Eurya tsaii +Ternstroemia biangulipes +Ternstroemia gymnanthera +Bassia dasyphylla +Diploknema butyracea +Sarcosperma kachinense +Sarcosperma laurinum +Diospyros dumetorum +Diospyros kaki +Diospyros lotus +Diospyros variegata +Androsace adenocephala +Androsace akbaitalensis +Androsace alaschanica var. zadoensis +Androsace alchemilloides +Androsace axillaris +Androsace bisulca var. aurata +Androsace bisulca var. bisulca +Androsace brachystegia +Androsace brotheri +Androsace bulleyana +Androsace cernuiflora +Androsace ciliifolia +Androsace cuttingii +Androsace delavayi +Androsace dissecta +Androsace elatior +Androsace erecta +Androsace euryantha +Androsace flavescens +Androsace forrestiana +Androsace gagnepainiana +Androsace geraniifolia +Androsace globifera +Androsace gmelinii var. geophila +Androsace gmelinii var. gmelinii +Androsace graceae +Androsace graminifolia +Androsace henryi +Androsace integra +Androsace lehmannii +Androsace limprichtii +Androsace mariae +Androsace maxima +Androsace minor +Androsace mollis +Androsace nortonii +Androsace olgae +Androsace ovczinnikovii +Androsace rigida +Androsace robusta +Androsace rockii +Androsace rotundifolia var. stracheyi +Androsace runcinata +Androsace sarmentosa +Androsace selago +Androsace septentrionalis var. breviscapa +Androsace septentrionalis var. septentrionalis +Androsace spinulifera +Androsace squarrosula +Androsace strigillosa +Androsace sublanata +Androsace tanggulashanensis +Androsace tapete +Androsace umbellata +Androsace wardii +Androsace yargongensis +Androsace zambalensis +Androsace zayulensis +Ardisia crenata f. crenata +Ardisia crenata f. hortensis +Ardisia garrettii +Ardisia thyrsiflora +Ardisia waitakii +Cortusa brotheri +Cortusa matthioli +Embelia floribunda +Embelia gamblei +Embelia parviflora +Embelia procumbens +Embelia ribes +Embelia undulata +Embelia vestita +Glaux maritima +Lysimachia ardisioides +Lysimachia baoxingensis +Lysimachia barystachys +Lysimachia breviflora +Lysimachia christinae +Lysimachia chungdienensis +Lysimachia congestiflora +Lysimachia debilis +Lysimachia delavayi +Lysimachia deltoidea var. cinerascens +Lysimachia drymarifolia +Lysimachia engleri var. engleri +Lysimachia engleri var. glabra +Lysimachia excisa +Lysimachia hemsleyi +Lysimachia laxa +Lysimachia lichiangensis +Lysimachia lobelioides +Lysimachia medogensis +Lysimachia parvifolia +Lysimachia platypetala +Lysimachia prolifera +Lysimachia pumila +Lysimachia reflexiloba +Lysimachia roseola +Lysimachia stellarioides +Lysimachia taliensis +Lysimachia tengyuehensis +Lysimachia tsarongensis +Lysimachia violascens +Lysimachia vulgaris +Maesa argentea +Maesa cavinervis +Maesa chisia +Maesa densistriata +Maesa manipurensis +Maesa marionae +Maesa rugosa +Myrsine africana +Myrsine kwangsiensis var. tibetica +Myrsine seguinii +Myrsine semiserrata +Omphalogramma brachysiphon +Omphalogramma delavayi +Omphalogramma elegans +Omphalogramma elwesianum +Omphalogramma forrestii +Omphalogramma minus +Omphalogramma souliei +Omphalogramma tibeticum +Omphalogramma vinciflorum +Pomatosace filicula +Primula advena var. advena +Primula advena var. euprepes +Primula aerinantha +Primula agleniana +Primula algida +Primula alpicola +Primula alsophila +Primula amethystina subsp. amethystina +Primula amethystina subsp. argutidens +Primula amethystina subsp. brevifolia +Primula aromatica +Primula atrodentata +Primula baileyana +Primula barbatula +Primula bathangensis +Primula bella subsp. bonatiana +Primula bellidifolia +Primula bhutanica +Primula blattariformis +Primula bracteata +Primula brevicula +Primula bullata var. bullata +Primula bullata var. rufa +Primula buryana var. buryana +Primula buryana var. purpurea +Primula caldaria +Primula calderiana +Primula calliantha subsp. bryophila +Primula calliantha subsp. calliantha +Primula calliantha subsp. mishmiensis +Primula candicans +Primula capitata subsp. capitata +Primula capitata subsp. sphaerocephala +Primula caveana +Primula cawdoriana +Primula chamaedoron +Primula chamaethauma +Primula chionantha +Primula chionata +Primula chionogenes +Primula chlorodryas +Primula chungensis +Primula concholoba +Primula concinna +Primula conspersa +Primula deflexa +Primula denticulata subsp. alta +Primula denticulata subsp. denticulata +Primula diantha +Primula dickieana +Primula dryadifolia subsp. chlorodryas +Primula dryadifolia subsp. dryadifolia +Primula dryadifolia subsp. jonardunii +Primula dubernardiuna +Primula dumicola +Primula eburnea +Primula elizabethae +Primula elongata var. barnardoana +Primula elongata var. elongata +Primula erythrocarpa +Primula faberi +Primula falcifolia +Primula fangii +Primula farreriana +Primula fasciculata +Primula fernaldiana +Primula firmipes +Primula flabellifera +Primula flaccida +Primula flava +Primula florindae +Primula forrestii +Primula gambeliana +Primula gemmifera var. amoena +Primula gemmifera var. gemmifera +Primula gemmifera var. monantha +Primula gemmifera var. rupestris +Primula gemmifera var. zambalensis +Primula geraniifolia +Primula glabra subsp. genestieriana +Primula glabra subsp. glabra +Primula glomerata +Primula gracilipes +Primula griffithii +Primula henryi +Primula heucherifolia +Primula hilaris +Primula hookeri +Primula involucrata subsp. involucrata +Primula involucrata subsp. yargongensis +Primula ioessa +Primula jaffreyana +Primula jucunda +Primula kialensis +Primula kingii +Primula klattii +Primula kongboensis +Primula lacerata +Primula laciniata +Primula lactucoides +Primula latisecta +Primula laxiuscula +Primula littledalei +Primula macrophylla var. atra +Primula macrophylla var. macrocarpa +Primula macrophylla var. macrophylla +Primula macrophylla var. moorcroftiana +Primula macrophylla var. ninguida +Primula malacoides +Primula malvacea var. alba +Primula malvacea var. malvacea +Primula minutissima +Primula moupinensis subsp. barkamensis +Primula moupinensis subsp. moupinensis +Primula muscoides +Primula mystrophylla +Primula nutans +Primula obconica subsp. begoniiformis +Primula obconica subsp. nigroglandulosa +Primula obconica subsp. obconica +Primula obliqua +Primula occlusa +Primula odontica +Primula optata +Primula orbicularis +Primula oxygraphidifolia +Primula pamirica +Primula pauliana +Primula polyneura +Primula pomeiensis +Primula prattii +Primula prenantha subsp. morsheadiana +Primula prenantha subsp. prenantha +Primula primulina +Primula pseudodenticulata +Primula pseudoglabra +Primula pulchella +Primula pumilio +Primula purdomii +Primula qinghaiensis +Primula reticulata +Primula rhodochroa var. geraldinae +Primula rhodochroa var. rhodochroa +Primula rimicola +Primula rockii +Primula rotundifolia +Primula rubicunda +Primula runcinata +Primula rupicola var. albicolor +Primula rupicola var. rupicola +Primula sandemaniana +Primula sapphirina +Primula scapigera +Primula secundiflora +Primula septemloba +Primula serratifolia +Primula sikkimensis var. pudibunda +Primula sikkimensis var. rhodochroa +Primula silaensis +Primula sinolisteri var. aspera +Primula sinoplantaginea var. fengxiangiana +Primula sinoplantaginea var. sinoplantaginea +Primula smithiana +Primula sonchifolia +Primula stenocalyx +Primula strumosa +Primula subularia +Primula taliensis subsp. procera +Primula tangutica var. flavescens +Primula tangutica var. tangutica +Primula tanneri +Primula tayloriana +Primula tenella +Primula tenuiloba +Primula tibetica +Primula triloba +Primula tsariensis +Primula tsongpenii +Primula turkestanica +Primula urticifolia +Primula vaginata subsp. eucyclia +Primula vaginata subsp. vaginata +Primula valentiniana +Primula walshii +Primula waltonii +Primula watsonii +Primula whitei +Primula wollastonii +Primula woodwardii +Primula youngeriana +Primula yunnanensis +Camellia caudata +Camellia reticulata +Camellia sinensis +Hartia brevicalyx +Pyrenaria khasiana +Schima argentea +Schima khasiana +Schima parviflora +Symplocos anomala +Symplocos ascidiiformis +Symplocos cochinchinensis var. cochinchinensis +Symplocos cochinchinensis var. laurina +Symplocos dryophila +Symplocos glandulosopunctata +Symplocos glomerata +Symplocos lucida +Symplocos paniculata +Symplocos pyrifolia +Symplocos racemosa +Symplocos ramosissima +Symplocos sumuntia +Symplocos theaefolia +Symplocos viridissima +Symplocos xylopyrena +Berneuxia thibetica +Diapensia himalaica +Diapensia purpurea +Diapensia wardii +Huodendron tibeticum +Huodendron tomentosum +Rehderodendron gongshanense +Styrax grandiflorus +Styrax hookeri +Styrax limprichtii +Styrax perkinsiae +Styrax serrulatus +Actinidia arguta var. arguta +Actinidia arguta var. purpurea +Actinidia callosa var. acuminata +Actinidia callosa var. henryi +Actinidia chinensis var. deliciosa +Actinidia kolomikta +Actinidia maloides var. maloides +Actinidia melanandra +Actinidia pilosula +Actinidia polygama +Actinidia rubricaulis +Actinidia tetramera +Actinidia venosa +Clematoclethra faberi +Clematoclethra lasioclada +Clematoclethra scandens subsp. actinidioides +Clematoclethra scandens subsp. scandens +Saurauia cerea +Saurauia erythrocarpa +Saurauia griffithii var. annamica +Saurauia griffithii var. griffithii +Saurauia macrotricha +Saurauia napaulensis +Saurauia polyneura var. paucinervis +Saurauia polyneura var. polyneura +Saurauia punduana +Saurauia rubricalyx +Saurauia sinohirsuta +Saurauia yunnanensis +Agapetes aborensis +Agapetes anonyma +Agapetes burmanica +Agapetes buxifolia +Agapetes camelliifolia +Agapetes ciliata +Agapetes discolor +Agapetes epacridea +Agapetes flava +Agapetes forrestii +Agapetes griffithii +Agapetes hyalocheilos +Agapetes incurvata +Agapetes interdicta var. interdicta +Agapetes interdicta var. stenoloba +Agapetes lacei var. glaberrima +Agapetes lacei var. lacei +Agapetes lacei var. tomentella +Agapetes leiocarpa +Agapetes leucocarpa +Agapetes linearifolia +Agapetes listeri +Agapetes macrophylla +Agapetes mannii +Agapetes marginata +Agapetes medogensis +Agapetes miniata +Agapetes miranda +Agapetes mitrarioides +Agapetes nutans +Agapetes oblonga +Agapetes pensilis +Agapetes pilifera +Agapetes praeclara +Agapetes pseudo-griffithii +Agapetes pubiflora +Agapetes pyrolifolia +Agapetes salicifolia +Agapetes serpens +Agapetes spissa +Agapetes subsessilifolia +Agapetes xizangensis +Arctous alpinus +Arctous microphyllus +Arctous ruber +Cassiope abbreviata +Cassiope argyrotricha +Cassiope fastigiata +Cassiope myosuroides +Cassiope nana +Cassiope palpebrata +Cassiope pectinata +Cassiope selaginoides +Cassiope wardii +Cheilotheca macrocarpa +Chimaphila japonica +Craibiodendron forrestii +Craibiodendron henryi +Craibiodendron yunnanense +Diplarche multiflora +Diplarche pauciflora +Enkianthus chinensis +Enkianthus deflexus var. deflexus +Enkianthus deflexus var. variegatus +Gaultheria brevistipes +Gaultheria cardiosepala +Gaultheria cuneata +Gaultheria dolichopoda +Gaultheria dumicola var. aspera +Gaultheria dumicola var. dumicola +Gaultheria dumicola var. petanoneuron +Gaultheria fragrantissima +Gaultheria griffithiana +Gaultheria heteromera +Gaultheria hookeri var. angustifolia +Gaultheria hookeri var. hookeri +Gaultheria hypochlora +Gaultheria notabilis +Gaultheria nummularioides +Gaultheria prostrata +Gaultheria purpurea +Gaultheria semi-infera +Gaultheria sinensis var. nivea +Gaultheria sinensis var. sinensis +Gaultheria suborbicularis +Gaultheria tetramera +Gaultheria trichophylla +Gaultheria trigonoclada +Gaultheria wardii var. wardii +Gaultheria wardii var. serrulata +Hypopitys hypopitys var. hirsuta +Leucothoe griffithiana var. griffithiana +Leucothoe griffithiana var. sessilifolia +Lyonia doyonensis +Lyonia macrocalyx +Lyonia ovalifolia var. lanceolata +Lyonia ovalifolia var. ovalifolia +Lyonia ovalifolia var. tomentosa +Lyonia villosa var. pubescens +Lyonia villosa var. sphaerantha +Lyonia villosa var. villosa +Moneses uniflora +Monotropa hypopitys +Monotropa uniflora +Monotropastrum humile +Orthilia obtusata var. obtusata +Orthilia obtusata var. xizangensis +Orthilia secunda +Pieris formosa var. formosa +Pieris formosa var. forrestii +Pyrola calliantha +Pyrola decorata +Pyrola forrestiana +Pyrola markonica +Pyrola minor +Pyrola monophylla +Pyrola sororia +Pyrola szechuanica +Rhododendron adenogynum +Rhododendron aganniphum var. aganniphum +Rhododendron aganniphum var. flavorufum +Rhododendron aganniphum var. schizopeplum +Rhododendron agastum var. agastum +Rhododendron albertsenianum +Rhododendron alutaceum var. alutaceum +Rhododendron alutaceum var. iodes +Rhododendron alutaceum var. russotinctum +Rhododendron amandum +Rhododendron amesiae +Rhododendron anthopogon +Rhododendron anthopogonoides +Rhododendron anthosphaerum +Rhododendron aperantum +Rhododendron araiophyllum +Rhododendron arboreum var. arboreum +Rhododendron arboreum var. cinnamomeum +Rhododendron arboreum var. roseum +Rhododendron argipeplum +Rhododendron arizelum +Rhododendron asperulum +Rhododendron asterochnoum +Rhododendron atropunicum +Rhododendron augustinii subsp. augustinii +Rhododendron augustinii subsp. chasmanthum +Rhododendron auritum +Rhododendron baileyi +Rhododendron bainbridgeanum +Rhododendron balangense +Rhododendron balfourianum var. aganniphoides +Rhododendron bamaense +Rhododendron barbatum +Rhododendron barkamense +Rhododendron basilicum +Rhododendron bathyphyllum +Rhododendron beanianum +Rhododendron beesianum +Rhododendron bijiangense +Rhododendron bonvalotii +Rhododendron boothii +Rhododendron brachyanthum subsp. hypolepidotum +Rhododendron bracteatum +Rhododendron bulu +Rhododendron bureavii +Rhododendron callimorphum var. callimorphum +Rhododendron calophytum var. openshawianum +Rhododendron calostrotum var. calciphilum +Rhododendron calostrotum var. calostrotum +Rhododendron calvescens var. calvescens +Rhododendron calvescens var. duseimatum +Rhododendron camelliiflorum +Rhododendron campanulatum +Rhododendron campylocarpum subsp. caloxanthum +Rhododendron campylocarpum subsp. campylocarpum +Rhododendron campylocarpum subsp. telopeum +Rhododendron campylogynum +Rhododendron capitatum +Rhododendron catacosmum +Rhododendron cephalanthum +Rhododendron cerasinum +Rhododendron chamaethomsonii var. chamaedoron +Rhododendron chamaethomsonii var. chamaethauma +Rhododendron chamaethomsonii var. chamaethomsonii +Rhododendron charitopes subsp. charitopes +Rhododendron charitopes subsp. tsangpoense +Rhododendron chrysodoron +Rhododendron ciliatum +Rhododendron cinnabarinum subsp. cinnabarinum +Rhododendron circinnatum +Rhododendron citriniflorum var. citriniflorum +Rhododendron citriniflorum var. horaeum +Rhododendron clementinae +Rhododendron codonanthum +Rhododendron comisteum +Rhododendron complexum +Rhododendron concinnum +Rhododendron coriaceum +Rhododendron coryanum +Rhododendron cowanianum +Rhododendron crinigerum +Rhododendron cuneatum +Rhododendron cyanocarpum +Rhododendron dalhousiae +Rhododendron dasycladoides +Rhododendron dasypetalum +Rhododendron davidsonianum +Rhododendron dawuense +Rhododendron decorum +Rhododendron dekatanum +Rhododendron delavayi var. delavayi +Rhododendron delavayi var. peramoenum +Rhododendron dendricola +Rhododendron detonsum +Rhododendron dichroanthum var. dichroanthum +Rhododendron dignabile +Rhododendron doshongense +Rhododendron dumicola +Rhododendron eclecteum var. bellatulum +Rhododendron eclecteum var. eclecteum +Rhododendron edgeworthii +Rhododendron elegantulum +Rhododendron erastum +Rhododendron erosum +Rhododendron erythrocalyx +Rhododendron esetulosum +Rhododendron euchroum +Rhododendron eudoxum var. brunneifolium +Rhododendron eudoxum var. eudoxum +Rhododendron eudoxum var. mesopolium +Rhododendron eurysiphon +Rhododendron exasperatum +Rhododendron facetum +Rhododendron falconeri +Rhododendron fastigiatum +Rhododendron faucium +Rhododendron flavantherum +Rhododendron flavidum +Rhododendron fletcherianum +Rhododendron floccigerum +Rhododendron floribundum +Rhododendron forrestii subsp. forrestii +Rhododendron forrestii subsp. papillatum +Rhododendron fragariiflorum +Rhododendron fulvum +Rhododendron galactinum +Rhododendron gemmiferum +Rhododendron genestierianum +Rhododendron glanduliferum +Rhododendron glischrum +Rhododendron gologense +Rhododendron gongshanense +Rhododendron grande +Rhododendron haematodes subsp. chaetomallum +Rhododendron haematodes subsp. haematodes +Rhododendron haofui +Rhododendron heliolepis var. heliolepis +Rhododendron heliolepis var. oporinum +Rhododendron hemitrichotum +Rhododendron hirtipes +Rhododendron hodgsonii +Rhododendron hookeri +Rhododendron hunnewellianum +Rhododendron hylaeum +Rhododendron hypenanthum +Rhododendron igneum +Rhododendron impeditum +Rhododendron insculptum +Rhododendron intricatum +Rhododendron irroratum +Rhododendron kasoense +Rhododendron keleticum +Rhododendron kendrickii +Rhododendron keysii +Rhododendron kongboense +Rhododendron kyawi +Rhododendron lacteum +Rhododendron lanatoides +Rhododendron lanatum +Rhododendron lanigerum +Rhododendron lateriflorum +Rhododendron laudandum +Rhododendron lepidotum +Rhododendron leptocarpum +Rhododendron leptopeplum +Rhododendron leptothrium +Rhododendron leucaspis +Rhododendron lindleyi +Rhododendron longesquamatum +Rhododendron longicalyx +Rhododendron ludlowii +Rhododendron luhuoense +Rhododendron lukiangense +Rhododendron maddenii subsp. crassum +Rhododendron maddenii subsp. maddenii +Rhododendron magnificum +Rhododendron mainlingense +Rhododendron mallotum +Rhododendron martinianum +Rhododendron meddianum var. atrokermesinum +Rhododendron meddianum var. meddianum +Rhododendron medoense +Rhododendron megacalyx +Rhododendron megalanthum +Rhododendron megeratum +Rhododendron mekongense var. longipilosum +Rhododendron mekongense var. melinanthum +Rhododendron mekongense var. rubrolineatum +Rhododendron microgynum +Rhododendron microphyton var. microphyton +Rhododendron mimetes +Rhododendron miniatum +Rhododendron mollicomum +Rhododendron monanthum +Rhododendron montiganum +Rhododendron montroseanum +Rhododendron moulmainense +Rhododendron mucronatum +Rhododendron nakotiltum +Rhododendron neriiflorum var. appropinquans +Rhododendron neriiflorum var. neriiflorum +Rhododendron nigroglandulosum +Rhododendron nitidulum var. nitidulum +Rhododendron nitidulum var. omeiense +Rhododendron nivale subsp. boreale +Rhododendron nivale subsp. nivale +Rhododendron nuttallii +Rhododendron nyingchiense +Rhododendron orbiculare +Rhododendron oreodoxa +Rhododendron oreotrephes +Rhododendron orthocladum var. orthocladum +Rhododendron pachypodum +Rhododendron pachytrichum +Rhododendron papillatum +Rhododendron parmulatum +Rhododendron pemakoense +Rhododendron pendulum +Rhododendron phaeochrysum var. agglutinatum +Rhododendron phaeochrysum var. levistratum +Rhododendron phaeochrysum var. phaeochrysum +Rhododendron piercei +Rhododendron pocophorum var. hemidartum +Rhododendron pocophorum var. pocophorum +Rhododendron polycladum +Rhododendron polylepis +Rhododendron pomense +Rhododendron populare +Rhododendron potaninii +Rhododendron praestans +Rhododendron preptum +Rhododendron primuliflorum var. cephalanthoides +Rhododendron primuliflorum var. lepidanthum +Rhododendron primuliflorum var. primuliflorum +Rhododendron principis +Rhododendron pronum +Rhododendron proteoides +Rhododendron protistum var. giganteum +Rhododendron protistum var. protistum +Rhododendron pruniflorum +Rhododendron przewalskii +Rhododendron pubescens +Rhododendron pudorosum +Rhododendron pumilum +Rhododendron racemosum +Rhododendron radendum +Rhododendron ramipilosum +Rhododendron ramsdenianum +Rhododendron rex subsp. fictolacteum +Rhododendron rex subsp. rex +Rhododendron rhombifolium +Rhododendron riparioides +Rhododendron rothschildii +Rhododendron roxieanum var. cucullatum +Rhododendron roxieanum var. roxieanum +Rhododendron rubiginosum var. ptilostylum +Rhododendron rubiginosum var. rubiginosum +Rhododendron rufescens +Rhododendron rufum +Rhododendron rupicola var. chryseum +Rhododendron rupicola var. rupicola +Rhododendron russatum +Rhododendron saluenense var. prostratum +Rhododendron saluenense var. saluenense +Rhododendron sanguineum var. cloiophorum +Rhododendron sanguineum var. didymoides +Rhododendron sanguineum var. didymum +Rhododendron sanguineum var. haemaleum +Rhododendron sanguineum var. himertum +Rhododendron sanguineum var. sanguineum +Rhododendron scopulorum +Rhododendron seinghkuense +Rhododendron selense subsp. dasycladum +Rhododendron selense subsp. jucundum +Rhododendron selense subsp. selense +Rhododendron semnoides +Rhododendron setiferum +Rhododendron setosum +Rhododendron sherriffii +Rhododendron shweliense +Rhododendron sidereum +Rhododendron siderophyllum +Rhododendron sikangense +Rhododendron sinogrande +Rhododendron sinosimulans +Rhododendron souliei +Rhododendron sperabile var. sperabile +Rhododendron sperabile var. weihsiense +Rhododendron sperabiloides +Rhododendron sphaeroblastum +Rhododendron spinuliferum +Rhododendron stenaulum +Rhododendron stewartianum +Rhododendron strigillosum var. monosematum +Rhododendron strigillosum var. strigillosum +Rhododendron sulfureum +Rhododendron taggianum +Rhododendron taliense +Rhododendron tanastylum var. lingzhiense +Rhododendron tanastylum var. tanastylum +Rhododendron tapetiforme +Rhododendron tatsienense var. nudatum +Rhododendron tatsienense var. tatsienense +Rhododendron telmateium +Rhododendron temenium var. dealbatum +Rhododendron temenium var. gilvum +Rhododendron temenium var. temenium +Rhododendron tenuifolium +Rhododendron tephropeplum +Rhododendron thomsonii subsp. lopsangianum +Rhododendron thomsonii subsp. thomsonii +Rhododendron thymifolium +Rhododendron traillianum var. dictyotum +Rhododendron traillianum var. traillianum +Rhododendron trichanthum +Rhododendron trichocladum +Rhododendron trichostomum var. ledoides +Rhododendron trichostomum var. radinum +Rhododendron trichostomum var. trichostomum +Rhododendron triflorum +Rhododendron trilectorum +Rhododendron tsariense +Rhododendron tubiforme +Rhododendron uniflorum +Rhododendron uvariifolium +Rhododendron vaccinioides +Rhododendron vellereum +Rhododendron venator +Rhododendron vernicosum +Rhododendron vesiculiferum +Rhododendron virgatum +Rhododendron viridescens +Rhododendron viscidifolium +Rhododendron wallichii +Rhododendron wardii var. puralbum +Rhododendron wardii var. wardii +Rhododendron wasonii +Rhododendron watsonii +Rhododendron wightii +Rhododendron wiltonii +Rhododendron xanthocodon +Rhododendron xanthostephanum +Rhododendron yungchangense +Rhododendron yunnanense +Rhododendron zaleucum var. pubifolium +Rhododendron zaleucum var. zaleucum +Rhododendron zheguense +Vaccinium arbutoide +Vaccinium brachybotrys +Vaccinium chaetothrix +Vaccinium delavayi +Vaccinium dendrocharis +Vaccinium duclouxii var. duclouxii +Vaccinium duclouxii var. pubipes +Vaccinium dunalianum var. dunalianum +Vaccinium dunalianum var. urophyllum +Vaccinium fragile var. fragile +Vaccinium fragile var. mekongense +Vaccinium gaultheriifolium +Vaccinium glaucoalbum +Vaccinium iteophyllum var. glandulosum +Vaccinium iteophyllum var. iteophyllum +Vaccinium kingdon-wardii +Vaccinium lanigerum +Vaccinium leucobotrys +Vaccinium mandarinorum +Vaccinium modestum +Vaccinium nummularia +Vaccinium pubicalyx +Vaccinium retusum +Vaccinium scalarinervium +Vaccinium sikkimense +Vaccinium spiculatum +Vaccinium stenanthum +Vaccinium subdissitifolium +Vaccinium tenuiflorum +Iodes cirrhosa +Mappianthus iodoides +Natsiatopsis thunbergiifolia +Eucommia ulmoides +Aucuba himalaica +Aidia cochinchinensis +Asperula oppositifolia +Brachytome hirtellata var. glabrescens +Brachytome wallichii +Canthium hainanense +Chassalia curviflora +Damnacanthus indicus +Galium acutum +Galium aparine +Galium asperifolium var. asperifolium +Galium asperifolium var. lasiocarpum +Galium asperifolium var. sikkimense +Galium asperifolium var. verrucifructum +Galium baldensiforme +Galium boreale var. boreale +Galium boreale var. ciliatum +Galium bungei +Galium dahuricum +Galium echinocarpum +Galium elegans +Galium exile +Galium forrestii +Galium glandulosum +Galium hoffmeisteri +Galium innocuum +Galium kamtschaticum +Galium karataviense +Galium odoratum +Galium paradoxum +Galium pusillosetosum +Galium salwinense +Galium spurium +Galium tricornutum +Galium triflorum +Galium verum var. tomentosum +Galium verum var. trachycarpum +Galium verum var. trachyphyllum +Galium verum var. verum +Hedyotis auricularia +Hedyotis capitellata +Hedyotis chrysotricha +Hedyotis corymbosa +Hedyotis herbacea +Hedyotis scandens +Hedyotis vestita +Himalrandia lichiangensis +Hymenodictyon flaccidum +Hymenodictyon orixense +Ixora henryi +Ixora subsessilis +Kelloggia chinensis +Knoxia sumatrensis +Lasianthus attenuatus +Lasianthus biermanni +Lasianthus japonicus subsp. longicaudus +Lasianthus lucidus +Lasianthus micranthus +Lasianthus sikkimensis +Leptodermis glomerata +Leptodermis pilosa var. acanthoclada +Leptodermis pilosa var. glabrescens +Leptodermis pilosa var. pilosa +Leptodermis potaninii var. glauca +Leptodermis potaninii var. potaninii +Leptodermis purdomii +Leptodermis rehderiana +Leptodermis scabrida +Leptodermis schneideri +Leptodermis tomentella +Leptodermis virgata +Luculia gratissima +Luculia pinceana var. pinceana +Luculia pinceana var. pubescens +Luculia yunnanensis +Morinda parvifolia +Mussaenda decipiens +Mussaenda erosa +Mussaenda lenticellata +Mussaenda macrophylla +Mussaenda pubescens +Mussaenda taronensis +Mussaenda treutleri +Mycetia hirta +Mycetia longiflora +Mycetia longifolia +Mycetia macrostachya +Myrioneuron nutans +Neanotis ingrata +Neanotis wightiana +Neohymenopogon parasiticus +Neonauclea griffithii +Nertera sinensis +Nostolachma jenkinsii +Ophiorrhiza calcarata +Ophiorrhiza carinata +Ophiorrhiza dulongensis +Ophiorrhiza fasciculata +Ophiorrhiza laevifolia +Ophiorrhiza lurida +Ophiorrhiza medogensis +Ophiorrhiza mungos +Ophiorrhiza nutans +Ophiorrhiza rosea +Ophiorrhiza rugosa +Ophiorrhiza succirubra +Ophiorrhiza umbricola +Ophiorrhiza wallichii +Paederia foetida +Paederia yunnanensis +Psychotria calocarpa +Psychotria shuanghuaensis +Psychotria yunnanensis +Rubia chinensis +Rubia cordifolia +Rubia haematantha +Rubia lichiangensis +Rubia mandersii +Rubia membranacea +Rubia oncotricha +Rubia pallida +Rubia podantha +Rubia pterygocaulis +Rubia sikkimensis +Rubia tibetica +Rubia wallichiana +Rubia yunnanensis +Saprosma ternata +Sinoadina racemosa +Spermacoce pusilla +Spermadictyon suaveolens +Spiradiclis cylindrica +Tarennoidea wallichii +Theligonum macranthum +Trailliaedoxa gracilis +Uncaria lancifolia +Uncaria scandens +Uncaria sinensis +Wendlandia ligustrina +Wendlandia scabra +Wendlandia speciosa +Wendlandia subalpina +Wendlandia tinctoria subsp. callitricha +Wendlandia tinctoria subsp. tinctoria +Centaurium pulchellum var. altaicum +Centaurium pulchellum var. pulchellum +Centaurium spicatum +Comastoma cyananthiflorum +Comastoma falcatum +Comastoma jiuzhiense +Comastoma pedunculatum +Comastoma polycladum +Comastoma pulmonarium +Comastoma stellariifolium +Comastoma tenellum +Comastoma traillianum +Cotylanthera paucisquama +Crawfurdia angustata +Crawfurdia bomareoides +Crawfurdia campanulacea +Crawfurdia crawfurdioides var. crawfurdioides +Crawfurdia crawfurdioides var. iochroa +Crawfurdia delavayi +Crawfurdia forrestii +Crawfurdia gracilipes +Crawfurdia lobatilimba +Crawfurdia nyingchiensis +Crawfurdia puberula +Crawfurdia speciosa +Fagraea ceilanica +Gentiana abaensis +Gentiana albicalyx +Gentiana albomarginata +Gentiana alsinoides +Gentiana altigena +Gentiana altorum +Gentiana amplicrater +Gentiana anisostemon +Gentiana aperta var. aperta +Gentiana aperta var. aureopunctata +Gentiana arethusae var. arethusae +Gentiana arethusae var. delicatula +Gentiana aristata +Gentiana asparagoides +Gentiana asterocalyx +Gentiana atropurpurea +Gentiana atuntsiensis +Gentiana bella +Gentiana bomiensis +Gentiana bryoides +Gentiana burkillii +Gentiana burmensis +Gentiana caelestis +Gentiana capitata +Gentiana caryophyllea +Gentiana cephalantha +Gentiana chinensis +Gentiana choanantha +Gentiana chungtienensis +Gentiana clarkei +Gentiana clausilis +Gentiana conduplicata +Gentiana coronata +Gentiana crassicaulis +Gentiana crassula +Gentiana crassuloides +Gentiana crenulatotruncata +Gentiana cristata +Gentiana cuneibarba +Gentiana damyonensis +Gentiana daochengensis +Gentiana decorata +Gentiana decumbens +Gentiana delavayi +Gentiana deltoidea +Gentiana depressa +Gentiana dolichocalyx +Gentiana doxiongshangensis +Gentiana ecaudata +Gentiana elwesii +Gentiana emodii +Gentiana epichysantha +Gentiana erectosepala +Gentiana exigua +Gentiana exquisita +Gentiana faucipilosa +Gentiana filistyla +Gentiana flexicaulis +Gentiana formosa +Gentiana futtereri +Gentiana georgei +Gentiana gilvostriata +Gentiana globosa +Gentiana grata +Gentiana grumii +Gentiana gyirongensis +Gentiana handeliana +Gentiana harrowiana +Gentiana haynaldi +Gentiana heleonastes +Gentiana helophila +Gentiana hexaphylla +Gentiana himalayaensis +Gentiana infelix +Gentiana intricata +Gentiana kaufmanniana +Gentiana lacerulata +Gentiana lacinulata +Gentiana latimarginalis +Gentiana lawrencei var. farreri +Gentiana lawrencei var. lawrencei +Gentiana leptoclada +Gentiana leucomelaena +Gentiana lhassica +Gentiana lineolata +Gentiana linoides +Gentiana ludingensis +Gentiana macrauchena +Gentiana maeulchanensis +Gentiana mailingensis +Gentiana micans +Gentiana micantiformis +Gentiana microdonta +Gentiana muscicola +Gentiana namlaensis +Gentiana nanobella +Gentiana napulifera +Gentiana ninglangensis +Gentiana nubigena +Gentiana nyalamensis var. nyalamensis +Gentiana nyalamensis var. parviflora +Gentiana nyingchiensis +Gentiana obconica +Gentiana officinalis +Gentiana olivieri +Gentiana oreodoxa +Gentiana ornata +Gentiana otophora +Gentiana otophoroides +Gentiana panthaica +Gentiana papillosa +Gentiana parvula +Gentiana pedicellata +Gentiana phyllocalyx +Gentiana picta +Gentiana pluviarum subsp. subtilis +Gentiana praeclara +Gentiana prainii +Gentiana prattii +Gentiana primuliflora +Gentiana producta +Gentiana prolata +Gentiana prostrata var. karelinii +Gentiana prostrata var. ludlowii +Gentiana prostrata var. prostrata +Gentiana prxewalskia +Gentiana pseudoaquatica +Gentiana pseudosquarrosa +Gentiana pterocalyx +Gentiana pubiflora +Gentiana pubigera +Gentiana pudica +Gentiana purdomi +Gentiana qiujiangensis +Gentiana rhodantha +Gentiana rigescens +Gentiana riparia +Gentiana robusta +Gentiana scabrifilamenta +Gentiana serra +Gentiana setulifolia +Gentiana sichitoensis +Gentiana sikkimensis +Gentiana simulatrix +Gentiana siphonantha +Gentiana souliei +Gentiana spathulifolia +Gentiana squarrosa +Gentiana stellata +Gentiana stipitata subsp. stipitata +Gentiana stipitata subsp. tizuensis +Gentiana stragulata +Gentiana straminea +Gentiana striata +Gentiana striolata +Gentiana subintricata +Gentiana suborbisepala +Gentiana syringea +Gentiana szechenyii +Gentiana taliensis +Gentiana tatsienensis +Gentiana ternifolia +Gentiana tetrasticha +Gentiana tianschanica +Gentiana tibetica +Gentiana tongolensis +Gentiana trichotoma var. chingii +Gentiana trichotoma var. trichotoma +Gentiana tricolor +Gentiana tubiflora +Gentiana urnula +Gentiana veitchiorum +Gentiana vernayi +Gentiana waltonii +Gentiana wardii var. emergens +Gentiana wardii var. micrantha +Gentiana wardii var. wardii +Gentiana wasenensis +Gentiana wilsonii +Gentiana yunnanensis +Gentiana zekuensis +Gentianella acuta +Gentianella angustiflora +Gentianella arenaria +Gentianella azurea +Gentianella gentianoides +Gentianella moorcroftiana +Gentianella nyalamensis +Gentianella pygmaea +Gentianella turkestanorum +Gentianopsis barbata var. alboflavida +Gentianopsis barbata var. barbata +Gentianopsis barbata var. stenocalyx +Gentianopsis contorta +Gentianopsis grandis +Gentianopsis paludosa var. alpina. +Gentianopsis paludosa var. ovatodeltoidea +Gentianopsis paludosa var. paludosa +Gentianopsis scaromarginata +Gentianopsis vedenskyi +Halenia elliptica var. elliptica +Jaeschkea microsperma +Lomatogoniopsis alpina +Lomatogoniopsis galeiformis +Lomatogoniopsis ovatifolia +Lomatogonium brachyantherum +Lomatogonium carinthiacum +Lomatogonium chumbicum +Lomatogonium forrestii var. bonatianum +Lomatogonium forrestii var. forrestii +Lomatogonium galeiformis +Lomatogonium gamosepalum +Lomatogonium longifolium +Lomatogonium macranthum +Lomatogonium oreocharis +Lomatogonium perenne +Lomatogonium rotatum var. floribundum +Lomatogonium rotatum var. rotatum +Lomatogonium sikkimense +Lomatogonium stapfii +Megacodon stylophorus +Pterygocalyx volubilis +Swertia asarifolia +Swertia bifolia var. bifolia +Swertia bifolia var. wardii +Swertia bimaculata +Swertia calycina +Swertia ciliata +Swertia cincta +Swertia conaensis +Swertia connata +Swertia cordata +Swertia cuneata +Swertia decora +Swertia delavayi +Swertia dichotoma +Swertia diluta +Swertia elata +Swertia endotricha +Swertia erythrosticta var. epunctata +Swertia erythrosticta var. erythrosticta +Swertia forrestii +Swertia franchetiana +Swertia graciliflora +Swertia gyacaensis +Swertia handeliana +Swertia hispidicalyx var. hispidicalyx +Swertia hispidicalyx var. minima +Swertia hispidicalyx var. subglabra +Swertia hookeri +Swertia kingii +Swertia macrosperma +Swertia marginata +Swertia membranifolia +Swertia multicaulis var. multicaulis +Swertia multicaulis var. umbellifera +Swertia mussoti +Swertia paniculata +Swertia patula +Swertia petiolata +Swertia pianmaensis +Swertia przewalskii +Swertia pubescens +Swertia punicea +Swertia racemosa +Swertia rotundiglandula +Swertia scapiformis +Swertia souliei +Swertia splendens +Swertia tenuis +Swertia tetraptera +Swertia tibetica +Swertia verticillifolia +Swertia virescens +Swertia wardii var. rigida +Swertia wardii var. wardii +Swertia wolfgangiana +Swertia younghusbandii +Swertia yunnnanensis +Swertia zayueensis +Tripterospermum volubile +Veratrilla baillonii +Veratrilla burkilliana +Gardneria angustifolia +Gardneria ovata +Aganosma breviloba +Aganosma schlechteriana +Alstonia yunnanensis +Alyxia fascicularis +Alyxia siamensis +Apocynum pictum +Apocynum venetum +Asclepias curassavica +Belostemma hirsutum +Biondia hemsleyana +Biondia insignis +Biondia longipes +Biondia pilosa +Biondia yunnanensis +Calotropis gigantea +Carissa spinarum +Ceropegia aridicola +Ceropegia dolichophylla +Ceropegia mairei +Ceropegia monticola +Ceropegia muliensis +Ceropegia pubescens +Ceropegia stenophylla +Chonemorpha griffithii +Cryptolepis buchananii +Cynanchum acutum subsp. acutum +Cynanchum acutum subsp. sibiricum +Cynanchum anthonyanum +Cynanchum auriculatum +Cynanchum batangense +Cynanchum bungei +Cynanchum callialatum +Cynanchum canescens +Cynanchum chinense +Cynanchum decipiens +Cynanchum forrestii var. forrestii +Cynanchum forrestii var. stenolobum +Cynanchum heydei +Cynanchum inamoenum +Cynanchum kashgaricum +Cynanchum linearisepalum +Cynanchum lysimachioides +Cynanchum mongolicum +Cynanchum officinale +Cynanchum otophyllum +Cynanchum paniculatum +Cynanchum steppicolum +Cynanchum szechuanense var. albescens +Cynanchum szechuanense var. szechuanense +Cynanchum thesioides +Cynanchum vincetoxicum +Cynanchum wallichii +Cynanchum wilfordii +Dregea sinensis var. corrugata +Dregea sinensis var. sinensis +Dregea yunnanensis var. major +Dregea yunnanensis var. yunnanensis +Gongronema napalense +Hoya fusca +Hoya lii +Hoya linearis +Hoya lyi +Hoya pandurata +Hoya polyneura +Hoya salweenica +Hoya siamica +Hoya silvatica +Hoya thomsonii +Marsdenia koi +Marsdenia medogensis +Marsdenia oreophila +Marsdenia sinensis +Marsdenia stenantha +Marsdenia tinctoria +Periploca calophylla var. calophylla +Periploca calophylla var. mucronata +Periploca floribunda +Periploca forrestii +Secamone likiangensis +Secamone minutiflora +Toxocarpus himalensis +Trachelospermum asiaticum +Trachelospermum axillare +Trachelospermum bodinieri +Trachelospermum brevistylum +Trachelospermum jasminoides +Trachelospermum yunnanense +Tylophora arenicola +Tylophora koi +Tylophora nana +Tylophora yunnanensis +Urceola linearicarpa +Urceola micrantha +Vallaris indecora +Wrightia sikkimensis +Actinocarya tibetica +Anchusa ovata +Arnebia euchroma +Arnebia fimbriata +Arnebia guttata +Arnebia szechenyi +Asperugo procumbens +Bothriospermum hispidissimum +Bothriospermum kusnezowii +Bothriospermum secundum +Bothriospermum zeylanicum +Chionocharis hookeri +Cordia dichotoma +Cynoglossum amabile var. amabile +Cynoglossum amabile var. pauciglochidiatum +Cynoglossum furcatum var. furcatum +Cynoglossum gansuense +Cynoglossum lanceolatum +Cynoglossum triste +Cynoglossum wallichii var. glochidiatum +Cynoglossum wallichii var. wallichii +Ehretia corylifolia +Ehretia dicksonii +Eritrichium acicularum +Eritrichium angustifolium +Eritrichium axillare +Eritrichium canum +Eritrichium deqinense +Eritrichium echinocaryum +Eritrichium fruticulosum +Eritrichium gracile +Eritrichium hemisphaericum +Eritrichium heterocarpum +Eritrichium humillimum +Eritrichium kangdingense +Eritrichium lasiocarpum +Eritrichium latifolium +Eritrichium laxum +Eritrichium longifolium +Eritrichium longipes +Eritrichium medicarpum +Eritrichium pamiricum +Eritrichium pectinatociliatum +Eritrichium petiolare var. petiolare +Eritrichium petiolare var. subturbinatum +Eritrichium petiolare var. villosum +Eritrichium pseudolatifolium +Eritrichium qofengense +Eritrichium sessilifructum +Eritrichium sinomicrocarpum +Eritrichium spathulatum +Eritrichium subjacquemontii +Eritrichium tangkulaense +Eritrichium thymifolium subsp. latialatum +Eritrichium thymifolium subsp. thymifolium +Gastrocotyle hispida +Hackelia brachytuba +Hackelia difformis +Hackelia uncinatum +Heliotropium lasiocarpum +Heliotropium strigosum +Lappula caespitosa +Lappula consanguinea +Lappula duplicicarpa +Lappula ferganensis +Lappula himalayensis +Lappula microcarpa +Lappula myosotis +Lappula patula +Lappula pratensis +Lappula redowskii +Lappula semiglabra var. heterocaryoides +Lappula semiglabra var. semiglabra +Lappula sericata +Lappula shanhsiensis +Lappula tadshikorum +Lasiocaryum densiflorum +Lasiocaryum munroi +Lasiocaryum trichocarpum +Lindelofia stylosa +Lithospermum arvense +Lithospermum erythrorhizon +Lithospermum zollingeri +Maharanga bicolor +Maharanga emodi +Mattiastrum himalayense +Metaeritrichium microuloides +Microcaryum pygmaeum +Microula bhutanica +Microula blepharolepis +Microula ciliaris +Microula diffusa +Microula efoveolata +Microula floribunda +Microula forrestii +Microula hispidissima +Microula involucriformis +Microula jilongensis +Microula leiocarpa +Microula longipes +Microula longituba +Microula myosotidea +Microula oblongifolia var. oblongifolia +Microula ovalifolia var. ovalifolia +Microula ovalifolia var. pubiflora +Microula polygonoides +Microula pseudotrichocarpa var. grandiflora +Microula pseudotrichocarpa var. pseudotrichocarpa +Microula pustulosa var. pustulosa +Microula pustulosa var. setulosa +Microula rockii +Microula sikkimensis +Microula spathulata +Microula stenophylla +Microula tangutica +Microula tibetica var. laevis +Microula tibetica var. pratensis +Microula tibetica var. tibetica +Microula trichocarpa var. trichocarpa +Microula turbinata +Microula younghusbandii +Myosotis alpestris +Myosotis caespitosa +Onosma adenopus +Onosma album +Onosma confertum +Onosma exsertum +Onosma farreri +Onosma fistulosum +Onosma glomeratum +Onosma hookeri var. hirsutum +Onosma hookeri var. hookeri +Onosma hookeri var. longiflorum +Onosma liui +Onosma maaikangense +Onosma mertensioides +Onosma multiramosum +Onosma nangqenense +Onosma paniculatum +Onosma sinicum +Onosma waddellii +Onosma waltonii +Onosma wardii +Onosma yajiangense +Onosma zayuense +Rochelia cardiosepala +Sinojohnstonia moupinensis +Stenosolenium saxatile +Symphytum officinale +Trichodesma calycosum +Trigonotis barkamensis +Trigonotis bracteata +Trigonotis cinereifolia +Trigonotis delicatula +Trigonotis gracilipes +Trigonotis heliotropifolia +Trigonotis leucantha +Trigonotis longipes +Trigonotis longiramosa +Trigonotis microcarpa +Trigonotis muliensis +Trigonotis peduncularis var. macrantha +Trigonotis peduncularis var. peduncularis +Trigonotis petiolaris +Trigonotis rockii +Trigonotis rotundata +Trigonotis tibetica +Argyreia splendens +Calystegia hederacea +Calystegia pubescens +Calystegia sepium subsp. spectabilis +Convolvulus ammannii +Convolvulus arvensis +Convolvulus fruticosus +Convolvulus gortschakovii +Convolvulus pseudocantabricus +Convolvulus tragacanthoides +Cuscuta approximata +Cuscuta chinensis +Cuscuta europaea +Cuscuta gigantea +Cuscuta japonica +Cuscuta macrolepis +Cuscuta reflexa +Dinetus duclouxii +Dinetus grandiflorus +Dinetus racemosus +Evolvulus alsinoides var. decumbens +Ipomoea cairica var. gracillima +Ipomoea eriocarpa +Ipomoea hirtifolia +Merremia cordata +Merremia hungaiensis var. hungaiensis +Merremia sibirica var. macrosperma +Merremia sibirica var. sibirica +Merremia sibirica var. trichosperma +Merremia sibirica var. vesiculosa +Merremia yunnanensis var. glabrescens +Merremia yunnanensis var. pallescens +Merremia yunnanensis var. yunnanensis +Anisodus carniolicoides +Anisodus luridus +Anisodus tanguticus +Datura stramonium +Hyoscyamus niger +Lycianthes biflora var. biflora +Lycianthes biflora var. subtusochracea +Lycianthes hupehensis +Lycianthes lysimachioides var. caulorhiza +Lycianthes lysimachioides var. lysimachioides +Lycianthes lysimachioides var. sinensis +Lycianthes macrodon var. macrodon +Lycianthes macrodon var. manipurensis +Lycianthes neesiana +Lycianthes shunningensis +Lycianthes solitaria +Lycianthes yunnanensis +Lycium barbarum +Lycium chinense var. chinense +Lycium chinense var. potaninii +Lycium cylindricum +Lycium dasystemum +Lycium ruthenicum +Mandragora caulescens +Physaliastrum heterophyllum +Physaliastrum yunnanense +Physalis alkekengi var. alkekengi +Physalis alkekengi var. francheti +Physalis angulata var. angulata +Physalis minima +Physochlaina praealta +Przewalskia tangutica +Solanum aculeatissimum +Solanum americanum +Solanum dulcamara +Solanum erianthum +Solanum japonense +Solanum lyratum +Solanum nigrum +Solanum pittosporifolium +Solanum pseudocapsicum var. diflorum +Solanum septemlobum +Solanum spirale +Solanum torvum +Solanum villosum +Solanum violaceum +Solanum virginianum +Carlemannia tetragona +Chionanthus ramiflorus +Chionanthus retusus +Forsythia likiangensis +Fraxinus floribunda +Fraxinus griffithii +Fraxinus platypoda +Fraxinus sikkimensis +Fraxinus trifoliolata +Fraxinus xanthoxyloides +Jasminum beesianum +Jasminum dispermum +Jasminum duclouxii +Jasminum humile var. humile +Jasminum humile var. microphyllum +Jasminum lanceolaria +Jasminum mesnyi +Jasminum nudiflorum var. nudiflorum +Jasminum nudiflorum var. pulvinatum +Jasminum officinale var. officinale +Jasminum officinale var. piliferum +Jasminum officinale var. tibeticum +Jasminum polyanthum +Jasminum seguinii +Jasminum sinense +Jasminum stephanense +Jasminum subhumile +Ligustrum compactum +Ligustrum confusum var. confusum +Ligustrum delavayanum +Ligustrum gracile +Ligustrum lucidum +Ligustrum quihoui +Ligustrum robustum var. chayuense +Ligustrum sempervirens +Ligustrum sinense +Olea europaea subsp. cuspidata +Olea gamblei +Olea laxiflora +Olea tsoongii +Osmanthus delavayi +Osmanthus dinggyensis +Osmanthus fragrans +Osmanthus suavis +Osmanthus yunnanensis +Syringa komarowii +Syringa mairei +Syringa persica +Syringa pinetorum +Syringa potaninii +Syringa protolaciniata +Syringa pubescens +Syringa sweginzowii +Syringa tibetica +Syringa villosa +Syringa wardii +Aeschynanthus acuminatus +Aeschynanthus angustioblongus +Aeschynanthus angustissimus +Aeschynanthus bracteatus var. bracteatus +Aeschynanthus dolichanthus +Aeschynanthus hookeri +Aeschynanthus lasianthus +Aeschynanthus lasiocalyx +Aeschynanthus linearifolius +Aeschynanthus maculatus +Aeschynanthus medogensis +Aeschynanthus mimetes +Aeschynanthus stenosepalus +Aeschynanthus superbus +Aeschynanthus tengchungensis +Ancylostemon aureus var. aureus +Ancylostemon gamosepalus +Briggsia agnesiae +Briggsia aurantiaca +Briggsia kurzii +Briggsia muscicola +Chirita anachoreta +Chirita dielsii +Chirita forrestii +Chirita infundibuliformis +Chirita lachenensis +Chirita oblongifolia +Chirita pumila +Chirita tibetica +Corallodiscus conchifolius +Corallodiscus kingianus +Corallodiscus lanuginosus +Corallodiscus plicatus var. plicatus +Didissandra sesquifolia +Didymocarpus adenocalyx +Didymocarpus aromaticus +Didymocarpus medogensis +Didymocarpus primulifolius +Didymocarpus pulcher +Didymocarpus villosus +Didymocarpus yunnanensis +Didymocarpus zhufengensis +Isometrum eximium +Isometrum farreri +Isometrum glandulosum +Isometrum lancifolium var. lancifolium +Isometrum leucanthum +Isometrum primuliflorum +Isometrum sichuanicum +Loxostigma griffithii +Loxostigma mekongense +Lysionotus atropurpureus +Lysionotus forrestii +Lysionotus gamosepalus +Lysionotus gracilis +Lysionotus levipes +Lysionotus metuoensis +Lysionotus pubescens +Lysionotus serratus +Lysionotus sessilifolius +Lysionotus sulphureus +Oreocharis aurantiaca +Oreocharis cinnamomea +Oreocharis cordatula +Oreocharis delavayi +Oreocharis forrestii +Oreocharis georgei +Oreocharis henryana +Oreocharis minor +Paraboea sinensis +Petrocosmea flaccida +Petrocosmea forrestii +Petrocosmea nervosa +Petrocosmea oblata var. oblata +Platystemma violoides +Rhabdothamnopsis sinensis +Rhynchoglossum obliquum +Rhynchotechum ellipticum +Rhynchotechum vestitum +Tremacron forrestii +Tremacron obliquifolium +Tremacron urceolatum +Adenosma glutinosum +Callitriche palustris +Ellisiophyllum pinnatum +Hemiphragma heterophyllum +Hippuris vulgaris +Lagotis alutacea var. alutacea +Lagotis alutacea var. rockii +Lagotis angustibracteata +Lagotis brachystachya +Lagotis brevituba +Lagotis clarkei +Lagotis crassifolia +Lagotis decumbens +Lagotis humilis +Lagotis integra +Lagotis kongboensis +Lagotis macrosiphon +Lagotis pharica +Lagotis praecox +Lagotis ramalana +Lagotis wardii +Lagotis yunnanensis +Linaria kulabensis +Linaria thibetica +Lindenbergia grandiflora +Lindenbergia muraria +Lindenbergia philippensis +Picrorhiza scrophulariiflora +Plantago arachnoidea +Plantago asiatica subsp. asiatica +Plantago asiatica subsp. erosa +Plantago cornuti +Plantago depressa +Plantago himalaica +Plantago lanceolata +Plantago major +Plantago maritima +Plantago media +Plantago minuta +Pseudolysimachion linariifolium subsp. dilatatum +Scrofella chinensis +Veronica anagallis-aquatica +Veronica anagalloides +Veronica beccabunga +Veronica biloba +Veronica campylopoda +Veronica cana +Veronica capitata +Veronica chayuensis +Veronica ciliata subsp. cephaloides +Veronica ciliata subsp. ciliata +Veronica ciliata subsp. zhongdianensis +Veronica deltigera +Veronica eriogyne +Veronica filipes +Veronica himalensis +Veronica javanica +Veronica lanuginosa +Veronica lasiocarpa +Veronica laxa +Veronica linariifolia +Veronica longipetiolata +Veronica perpusilla +Veronica persica +Veronica piroliformis +Veronica polita +Veronica rockii subsp. rockii +Veronica rockii subsp. stenocarpa +Veronica semiamplexicaulis +Veronica serpyllifolia +Veronica szechuanica subsp. sikkimensis +Veronica szechuanica subsp. szechuanica +Veronica tibetica +Veronica undulata +Veronica vandellioides +Veronica yunnanensis +Veronicastrum brunonianum +Veronicastrum rhombifolium +Veronicastrum yunnanense +Buddleja albiflora +Buddleja alternifolia +Buddleja asiatica +Buddleja brachystachya +Buddleja candida +Buddleja colvilei +Buddleja crispa +Buddleja davidii +Buddleja delavayi +Buddleja fallowiana +Buddleja forrestii +Buddleja macrostachya +Buddleja myriantha +Buddleja nivea +Buddleja officinalis +Buddleja tsetangensis +Limosella aquatica +Oreosolen wattii +Scrophularia chasmophila +Scrophularia delavayi +Scrophularia dentata +Scrophularia diplodonta +Scrophularia elatior +Scrophularia fargesii +Scrophularia hypsophila +Scrophularia incisa +Scrophularia kansuensis +Scrophularia mandarinorum +Scrophularia mapienensis +Scrophularia pauciflora +Scrophularia przewalskii +Scrophularia souliei +Scrophularia spicata +Scrophularia urticaefolia +Scrophularia yunnanensis +Lindernia ciliata +Lindernia crustacea +Lindernia hyssopoides +Lindernia nummulariifolia +Lindernia procumbens +Lindernia ruellioides +Torenia asiatica +Torenia violacea +Achyrospermum wallichianum +Ajuga bracteosa +Ajuga campylantha +Ajuga campylanthoides +Ajuga ciliata +Ajuga forrestii +Ajuga lobata +Ajuga lupulina var. lupulina +Ajuga lupulina var. major +Ajuga macrosperma var. macrosperma +Ajuga macrosperma var. thomsonii +Ajuga nipponensis +Ajuga nubigena +Ajuga ovalifolia var. calantha +Ajuga ovalifolia var. ovalifolia +Ajuga sciaphila +Alajja anomala +Alajja rhomboidea +Amethystea caerulea +Anisomeles indica +Callicarpa arborea +Callicarpa giraldii +Callicarpa rubella f. angustata +Caryopteris divaricata +Caryopteris forrestii var. forrestii +Caryopteris forrestii var. minor +Caryopteris mongholica +Caryopteris nepetaefolia f. brevipes +Caryopteris siccanea +Caryopteris tangutica +Caryopteris terniflora +Caryopteris trichosphaera +Chelonopsis albiflora +Chelonopsis bracteata +Chelonopsis forrestii +Chelonopsis lichiangensis +Chelonopsis mollissima +Chelonopsis odontochila var. odontochila +Chelonopsis odontochila var. smithii +Chelonopsis pseudobracteata +Chelonopsis siccanea +Chelonopsis souliei +Clerodendrum bracteatum +Clerodendrum bungei +Clerodendrum chinense var. simplex +Clerodendrum colebrookianum +Clerodendrum japonicum +Clerodendrum lasiocephalum +Clerodendrum lindleyi +Clerodendrum serratum var. serratum +Clerodendrum serratum var. wallichii +Clerodendrum tibetanum +Clerodendrum wallichii +Clerodendrum yunnanense var. linearilobum +Clerodendrum yunnanense var. yunnanense +Clinopodium discolor +Clinopodium longicaule +Clinopodium megalanthum +Clinopodium polycephalum +Clinopodium repens +Colebrookea oppositifolia +Colquhounia coccinea var. coccinea +Colquhounia coccinea var. mollis +Colquhounia compta var. compta +Colquhounia seguinii +Craniotome furcata +Dracocephalum bipinnatum +Dracocephalum breviflorum +Dracocephalum bullatum +Dracocephalum calophyllum +Dracocephalum hemsleyanum +Dracocephalum heterophyllum var. heterophyllum +Dracocephalum heterophyllum var. rubicundum +Dracocephalum imberbe +Dracocephalum imbricatum +Dracocephalum integrifolium +Dracocephalum isabellae +Dracocephalum microflorum +Dracocephalum nodulosum +Dracocephalum paulsenii +Dracocephalum propinquum +Dracocephalum purdomii +Dracocephalum rupestre +Dracocephalum stamineum +Dracocephalum taliense +Dracocephalum tanguticum var. cinereum +Dracocephalum tanguticum var. nanum +Dracocephalum tanguticum var. tanguticum +Dracocephalum velutinum var. intermedium +Dracocephalum velutinum var. velutinum +Dracocephalum wallichii var. platyanthum +Dracocephalum wallichii var. proliferum +Dracocephalum wallichii var. wallichii +Elsholtzia blanda +Elsholtzia capituligera +Elsholtzia cephalantha +Elsholtzia ciliata var. ciliata +Elsholtzia ciliata var. duplicato-crenata +Elsholtzia cyprianii var. cyprianii +Elsholtzia cyprianii var. longipilosa +Elsholtzia densa +Elsholtzia eriocalyx var. eriocalyx +Elsholtzia eriocalyx var. tomentosa +Elsholtzia eriostachya +Elsholtzia feddei +Elsholtzia flava +Elsholtzia fruticosa var. fruticosa +Elsholtzia fruticosa var. glabrifolia +Elsholtzia glabra +Elsholtzia luteola +Elsholtzia myosurus +Elsholtzia ochroleuca +Elsholtzia pilosa +Elsholtzia pygmaea +Elsholtzia rugulosa +Elsholtzia souliei +Elsholtzia stachyodes +Elsholtzia strobilifera +Eremostachys speciosa +Eriophyton wallichii +Galeopsis bifida +Glechoma longituba +Glechoma sinograndis +Gmelina arborea +Gmelina delavayana +Gomphostemma parviflorum var. farinosum +Gomphostemma stellatohirsutum +Isodon adenanthus +Isodon adenolomus +Isodon albopilosus +Isodon angustifolius var. angustifolius +Isodon angustifolius var. glabrescens +Isodon barbeyanus +Isodon bulleyanus +Isodon calcicolus var. calcicolus +Isodon coetsa var. cavaleriei +Isodon coetsa var. coetsa +Isodon dawoensis +Isodon eriocalyx +Isodon excisoides +Isodon flabelliformis +Isodon flavidus +Isodon flexicaulis +Isodon forrestii +Isodon gesneroides +Isodon glutinosus +Isodon grandifolius var. atuntzeensis +Isodon grandifolius var. grandifolius +Isodon henryi +Isodon hispidus +Isodon irroratus +Isodon japonicus +Isodon leucophyllus +Isodon lihsienensis +Isodon lophanthoides var. gerardianus +Isodon lophanthoides var. lophanthoides +Isodon loxothyrsus +Isodon medilungensis +Isodon megathyrsus var. megathyrsus +Isodon megathyrsus var. strigosissimus +Isodon mucronatus +Isodon muliensis +Isodon oresbius +Isodon pantadenius +Isodon parvifolius +Isodon pharicus +Isodon phyllopodus +Isodon phyllostachys +Isodon pleiophyllus var. dolichodens +Isodon pleiophyllus var. pleiophyllus +Isodon pulchokiensis +Isodon rubescens +Isodon rugosiformis +Isodon rugosus +Isodon scoparius +Isodon scrophularioides +Isodon sculponeatus +Isodon secundiflorus +Isodon setschwanensis +Isodon silvaticus +Isodon smithianus +Isodon tenuifolius +Isodon ternifolius +Isodon wardii +Isodon weisiensis +Isodon wikstroemioides +Isodon yuennanensis +Lagochilus kaschgaricus +Lagochilus macrodontus +Lagochilus platyacanthus +Lagopsis eriostachys +Lagopsis flava +Lagopsis supina +Lamiophlomis rotata var. rotata +Lamiophlomis rotata var. subglabra +Lamium album +Lamium amplexicaule +Lamium barbatum +Lamium gilongensis +Leonurus japonicus +Leonurus sibiricus +Leonurus urticifolius +Leucas ciliata +Leucas mollissima var. chinensis +Leucas mollissima var. mollissima +Leucosceptrum canum +Lophanthus subnivalis +Lophanthus tibeticus +Lycopus europaeus +Lycopus lucidus var. hirtus +Lycopus lucidus var. lucidus +Marmoritis complanatum +Marmoritis decolorans +Marmoritis nivalis +Marmoritis pharicus +Marmoritis rotundifolia +Meehania fargesii +Melissa axillaris +Melissa flava +Melissa yunnanensis +Mentha asiatica +Mentha canadensis +Micromeria barosma +Micromeria biflora var. biflora +Micromeria biflora var. hispida +Micromeria euosma +Microtoena delavayi var. amblyodon +Microtoena delavayi var. delavayi +Microtoena delavayi var. grandiflora +Microtoena muliensis +Microtoena patchoulii +Microtoena stenocalyx +Mosla cavaleriei +Mosla dianthera +Nepeta annua +Nepeta coerulescens +Nepeta densiflora +Nepeta dentata +Nepeta discolor +Nepeta floccosa +Nepeta glutinosa +Nepeta hemsleyana +Nepeta jomdaensis +Nepeta kokamirica +Nepeta laevigata +Nepeta lamiopsis +Nepeta leucolaena +Nepeta lipskyi +Nepeta longibracteata +Nepeta membranifolia +Nepeta nervosa +Nepeta prattii +Nepeta pungens +Nepeta raphanorhiza +Nepeta salviaefolia +Nepeta sessilis +Nepeta souliei +Nepeta stewartiana +Nepeta sungpanensis +Nepeta supina +Nepeta taxkorganica +Nepeta tenuiflora +Nepeta veitchii +Nepeta wilsonii +Nepeta yanthina +Nepeta zandaensis +Notochaete hamosa +Notochaete longiaristata +Origanum vulgare +Orthosiphon wulfenioides var. foliosus +Orthosiphon wulfenioides var. wulfenioides +Paraphlomis javanica +Perovskia abrotanoides +Perovskia atriplicifolia +Phlomis alpina +Phlomis ambigua +Phlomis atropurpurea f. atropurpurea +Phlomis atropurpurea f. pallidior +Phlomis atropurpurea f. pilosa +Phlomis betonicoides f. alba +Phlomis betonicoides f. betonicoides +Phlomis brevidentata +Phlomis congesta +Phlomis dentosa var. dentosa +Phlomis dentosa var. glabrescens +Phlomis fimbriata +Phlomis forrestii +Phlomis franchetiana +Phlomis likiangensis +Phlomis longicalyx +Phlomis medicinalis +Phlomis megalantha +Phlomis melanantha +Phlomis milingensis +Phlomis muliensis +Phlomis nana +Phlomis nyalamensis +Phlomis oreophila var. oreophila +Phlomis ornata +Phlomis pararotata +Phlomis ruptilis +Phlomis setifera +Phlomis strigosa +Phlomis tatsienensis var. hirticalyx +Phlomis tatsienensis var. tatsienensis +Phlomis tibetica var. tibetica +Phlomis tibetica var. wardii +Phlomis umbrosa var. australis +Phlomis umbrosa var. umbrosa +Phlomis younghusbandii +Pogostemon brevicorollus +Pogostemon chinensis +Pogostemon dielsianus +Pogostemon hispidocalyx +Pogostemon nigrescens +Premna acutata +Premna henryana +Premna interrupta +Premna mekongensis var. meiophylla +Premna mekongensis var. mekongensis +Premna oligantha +Premna punicea +Premna racemosa +Premna tapintzeana +Premna yunnanensis +Prunella hispida +Prunella vulgaris var. lanceolata +Prunella vulgaris var. vulgaris +Rostrinucula dependens +Rubiteucris palmata +Salvia aerea +Salvia atrorubra +Salvia bifidocalyx +Salvia brachyloma +Salvia brevilabra +Salvia bulleyana +Salvia campanulata var. campanulata +Salvia campanulata var. codonantha +Salvia campanulata var. fissa +Salvia campanulata var. hirtella +Salvia castanea +Salvia cyclostegia var. cyclostegia +Salvia cyclostegia var. purpurascens +Salvia cynica +Salvia digitaloides var. digitaloides +Salvia digitaloides var. glabrescens +Salvia evansiana var. evansiana +Salvia evansiana var. scaposa +Salvia flava var. flava +Salvia flava var. megalantha +Salvia glutinosa +Salvia grandifolia +Salvia handelii +Salvia heterochroa +Salvia hylocharis +Salvia kiaometiensis +Salvia lankongensis +Salvia maximowicziana var. floribunda +Salvia maximowicziana var. maximowicziana +Salvia mekongensis +Salvia omeiana var. grandibracteata +Salvia omeiana var. omeiana +Salvia pauciflora +Salvia plebeia +Salvia plectranthoides +Salvia pogonochila +Salvia prattii +Salvia przewalskii var. alba +Salvia przewalskii var. glabrescens +Salvia przewalskii var. mandarinorum +Salvia przewalskii var. przewalskii +Salvia roborowskii +Salvia schizocalyx +Salvia schizochila +Salvia sikkimensis var. chaenocalyx +Salvia sikkimensis var. sikkimensis +Salvia smithii +Salvia subpalmatinervis +Salvia tricuspis +Salvia trijuga +Salvia wardii +Salvia yunnanensis +Scutellaria amoena var. amoena +Scutellaria amoena var. cinerea +Scutellaria barbata +Scutellaria chungtienensis +Scutellaria discolor +Scutellaria forrestii +Scutellaria hypericifolia var. hypericifolia +Scutellaria hypericifolia var. pilosa +Scutellaria jodudiana +Scutellaria kingiana +Scutellaria likiangensis +Scutellaria linarioides +Scutellaria oligodonta +Scutellaria orthocalyx +Scutellaria prostrata +Scutellaria pseudotenax +Scutellaria rehderiana +Scutellaria scandens +Scutellaria scordifolia +Scutellaria tapintzeensis +Scutellaria tenax var. patentipilosa +Scutellaria tenax var. tenax +Scutellaria violacea var. sikkimensis +Scutellaria yangbiense +Siphocranion macranthum +Siphocranion nudipes +Skapanthus oreophilus var. elongatus +Skapanthus oreophilus var. oreophilus +Stachys kouyangensis var. franchetiana +Stachys kouyangensis var. kouyangensis +Stachys kouyangensis var. tuberculata +Stachys melissaefolia +Stachys tibetica +Teucrium nanum +Teucrium omeiense var. cyanophyllum +Teucrium quadrifarium +Teucrium viscidum +Thymus diminutus +Thymus linearis +Thymus mongolicus +Thymus seravschanicus +Vitex burmensis +Vitex negundo var. cannabifolia +Vitex negundo var. microphylla +Vitex negundo var. negundo +Vitex quinata var. puberula +Vitex yunnanensis +Ziziphora pamiroalaica +Lancea hirsuta +Lancea tibetica +Mazus celsioides +Mazus humilis +Mazus japonicus var. macrocalyx +Mazus lecomtei +Mazus pumilus var. delavayi +Mazus pumilus var. pumilus +Mazus rockii +Mazus surculosus +Mimulus bodinieri +Mimulus bracteosus +Mimulus tenellus var. nepalensis +Mimulus tenellus var. platyphyllus +Mimulus tenellus var. procerus +Mimulus tenellus var. tenellus +Mimulus tibeticus +Phryma leptostachya subsp. asiatica +Brandisia rosea var. flava +Aeginetia indica +Alectra avensis +Boschniakia himalaica +Centranthera grandiflora +Cistanche mongolica +Cistanche salsa +Cymbaria mongolica +Euphrasia jaeschkei +Euphrasia pectinata subsp. pectinata +Euphrasia pectinata subsp. sichuanica +Euphrasia regelii subsp. kangtienensis +Euphrasia regelii subsp. regelii +Gleadovia mupinense +Gleadovia ruborum +Mannagettaea hummelii +Mannagettaea labiata +Melampyrum klebelsbergianum +Odontites vulgaris +Orobanche alba +Orobanche amoena +Orobanche cernua +Orobanche coerulescens +Orobanche megalantha +Orobanche sinensis +Orobanche yunnanensis +Pedicularis alaschanica subsp. alaschanica +Pedicularis alaschanica subsp. tibetica +Pedicularis alopecuros var. alopecuros +Pedicularis altifrontalis +Pedicularis anas var. anas +Pedicularis anas var. tibetica +Pedicularis anas var. xanthantha +Pedicularis angularis +Pedicularis angustilabris +Pedicularis angustiloba +Pedicularis anomala +Pedicularis armata +Pedicularis aschistorrhyncha +Pedicularis atroviridis +Pedicularis atuntsiensis +Pedicularis aurata +Pedicularis axillaris +Pedicularis batangensis +Pedicularis bella subsp. holophylla +Pedicularis bidentata +Pedicularis bietii +Pedicularis bifida +Pedicularis binaria +Pedicularis bomiensis +Pedicularis brachycrania +Pedicularis cephalantha var. cephalantha +Pedicularis cephalantha var. szetchuanica +Pedicularis cernua subsp. cernua +Pedicularis cernua subsp. latifolia +Pedicularis cheilanthifolia subsp. cheilanthifolia +Pedicularis cheilanthifolia subsp. svenhedinii +Pedicularis chenocephala +Pedicularis chinensis +Pedicularis chingii +Pedicularis chumbica +Pedicularis cinerascens +Pedicularis clarkei +Pedicularis comptoniifolia +Pedicularis confertiflora subsp. confertiflora +Pedicularis confertiflora subsp. parvifolia +Pedicularis connata +Pedicularis corydaloides +Pedicularis corymbifera +Pedicularis cranolopha var. cranolopha +Pedicularis cranolopha var. garnieri +Pedicularis cranolopha var. longicornuta +Pedicularis craspedotricha +Pedicularis crenata subsp. crenata +Pedicularis crenata subsp. crenatiformis +Pedicularis crenularis +Pedicularis cristatella +Pedicularis croizatiana +Pedicularis cryptantha subsp. cryptantha +Pedicularis cryptantha subsp. erecta +Pedicularis cyathophylla +Pedicularis cyathophylloides +Pedicularis cyclorhyncha +Pedicularis cymbalaria +Pedicularis daltonii +Pedicularis daochengensis +Pedicularis daucifolia +Pedicularis davidii var. davidii +Pedicularis davidii var. pentodon +Pedicularis debilis subsp. debilior +Pedicularis debilis subsp. debilis +Pedicularis decora +Pedicularis decorissima +Pedicularis deltoidea +Pedicularis densispica subsp. densispica +Pedicularis densispica subsp. schneideri +Pedicularis densispica subsp. viridescens +Pedicularis deqinensis +Pedicularis dichotoma +Pedicularis dichrocephala +Pedicularis diffusa subsp. diffusa +Pedicularis diffusa subsp. elatior +Pedicularis dissectifolia +Pedicularis dolichocymba +Pedicularis dolichoglossa +Pedicularis dolichorrhiza +Pedicularis dolichostachya +Pedicularis duclouxii +Pedicularis dulongensis +Pedicularis dunniana +Pedicularis elliotii +Pedicularis elwesii subsp. major +Pedicularis elwesii subsp. minor +Pedicularis elwesii var. canescens +Pedicularis elwesii var. elwesii +Pedicularis excelsa +Pedicularis fastigiata +Pedicularis fengii +Pedicularis filicula var. filicula +Pedicularis filicula var. saganaica +Pedicularis filiculiformis +Pedicularis flaccida +Pedicularis fletcheri +Pedicularis flexuosa +Pedicularis floribunda +Pedicularis forrestiana +Pedicularis fragarioides +Pedicularis franchetiana +Pedicularis furfuracea +Pedicularis galeata +Pedicularis garckeana +Pedicularis geosiphon +Pedicularis glabrescens +Pedicularis globifera +Pedicularis gongshanensis +Pedicularis gracilicaulis +Pedicularis gracilis subsp. macrocarpa +Pedicularis gracilis subsp. sinensis +Pedicularis gracilis subsp. stricta +Pedicularis gracilituba subsp. gracilituba +Pedicularis gracilituba subsp. setosa +Pedicularis gruina subsp. gruina +Pedicularis gruina subsp. pilosa +Pedicularis gruina subsp. polyphylla +Pedicularis gyirongensis +Pedicularis gyrorhyncha +Pedicularis habachanensis subsp. habachanensis +Pedicularis habachanensis subsp. multipinnata +Pedicularis hemsleyana +Pedicularis henryi +Pedicularis hirtella +Pedicularis humilis +Pedicularis inaequilobata +Pedicularis infirma +Pedicularis ingens +Pedicularis insignis +Pedicularis integrifolia subsp. integerrima +Pedicularis integrifolia subsp. integrifolia +Pedicularis kangtingensis +Pedicularis kansuensis subsp. kansuensis +Pedicularis kansuensis subsp. kokonorica +Pedicularis kansuensis subsp. villosa +Pedicularis kansuensis subsp. yargongensis +Pedicularis kariensis +Pedicularis kialensis +Pedicularis kongboensis var. kongboensis +Pedicularis kongboensis var. obtusata +Pedicularis labordei +Pedicularis lachnoglossa +Pedicularis lamioides +Pedicularis lanpingensis +Pedicularis lasiophrys var. sinica +Pedicularis latirostris +Pedicularis latituba +Pedicularis laxispica +Pedicularis lecomtei +Pedicularis leptosiphon +Pedicularis likiangensis subsp. likiangensis +Pedicularis likiangensis subsp. pulchra +Pedicularis lineata +Pedicularis lingelsheimiana +Pedicularis longicalyx +Pedicularis longiflora var. hongyuanensis +Pedicularis longiflora var. longiflora +Pedicularis longiflora var. tubiformis +Pedicularis longipes +Pedicularis longistipitata +Pedicularis lophotricha +Pedicularis lutescens subsp. brevifolia +Pedicularis lutescens subsp. longipetiolata +Pedicularis lutescens subsp. lutescens +Pedicularis lutescens subsp. ramosa +Pedicularis lyrata +Pedicularis macilenta +Pedicularis macrorhyncha +Pedicularis macrosiphon +Pedicularis maxonii +Pedicularis mayana +Pedicularis megalantha +Pedicularis megalochila var. ligulata +Pedicularis megalochila var. megalochila +Pedicularis melampyriflora +Pedicularis membranacea +Pedicularis merrilliana +Pedicularis metaszetschuanica +Pedicularis meteororhyncha +Pedicularis micrantha +Pedicularis microcalyx +Pedicularis microchila +Pedicularis minima +Pedicularis minutilabris +Pedicularis mollis +Pedicularis monbeigiana +Pedicularis moupinensis +Pedicularis muscicola +Pedicularis muscoides var. muscoides +Pedicularis muscoides var. rosea +Pedicularis mussotii var. lophocentra +Pedicularis mussotii var. mussotii +Pedicularis mussotii var. mutata +Pedicularis mychophila +Pedicularis neolatituba +Pedicularis nyalamensis +Pedicularis nyingchiensis +Pedicularis obscura +Pedicularis odontophora +Pedicularis oederi subsp. multipinna +Pedicularis oederi subsp. oederi +Pedicularis oederi subsp. sinensis +Pedicularis oligantha +Pedicularis oliveriana +Pedicularis omiiana +Pedicularis orthocoryne +Pedicularis oxycarpa +Pedicularis paiana +Pedicularis pantlingii subsp. pantlingii +Pedicularis pantlingii subsp. chimiliensis +Pedicularis paxiana +Pedicularis pectinatiformis +Pedicularis pentagona +Pedicularis petitmenginii +Pedicularis pheulpinii supsp. pheulpinii +Pedicularis pilostachya +Pedicularis pinetorum +Pedicularis plicata subsp. apiculata +Pedicularis plicata subsp. luteola +Pedicularis plicata var. plicata +Pedicularis polygaloides +Pedicularis polyodonta +Pedicularis praeruptorum +Pedicularis prainiana +Pedicularis princeps +Pedicularis przewalskii subsp. australis +Pedicularis przewalskii subsp. hirsuta +Pedicularis przewalskii subsp. microphyton +Pedicularis przewalskii subsp. przewalskii +Pedicularis pseudocephalantha +Pedicularis pseudocurvituba +Pedicularis pseudoingens +Pedicularis pseudomelampyriflora +Pedicularis pseudomuscicola +Pedicularis pseudosteiningeri +Pedicularis pseudoversicolor +Pedicularis pygmaea +Pedicularis quxiangensis +Pedicularis ramosissima +Pedicularis recurva +Pedicularis remotiloba +Pedicularis reptans +Pedicularis resupinata subsp. resupinata +Pedicularis retingensis +Pedicularis revilabris +Pedicularis rex subsp. lipskyana +Pedicularis rex subsp. parva +Pedicularis rex subsp. pseudocyathus +Pedicularis rex subsp. rex +Pedicularis rex subsp. zayuensis +Pedicularis rhinanthoides subsp. labellata +Pedicularis rhinanthoides subsp. rhinanthoides +Pedicularis rhinanthoides subsp. tibetica +Pedicularis rhizomatosa +Pedicularis rhodotricha +Pedicularis rhynchodonta +Pedicularis rhynchotricha +Pedicularis rigida +Pedicularis rizhaoensis +Pedicularis roborowskii +Pedicularis robusta +Pedicularis rotundifolia +Pedicularis roylei subsp. megalantha +Pedicularis roylei subsp. roylei +Pedicularis roylei subsp. shawii +Pedicularis rudis +Pedicularis rupicola subsp. rupicola +Pedicularis rupicola subsp. zambalensis +Pedicularis salicifolia +Pedicularis salviiflora var. leiocarpa +Pedicularis salviiflora var. salviiflora +Pedicularis schizorrhyncha +Pedicularis scolopax +Pedicularis semitorta +Pedicularis sherriffii +Pedicularis sigmoidea +Pedicularis sima +Pedicularis siphonantha var. delavayi +Pedicularis siphonantha var. siphonantha +Pedicularis smithiana +Pedicularis sorbifolia +Pedicularis souliei +Pedicularis sphaerantha +Pedicularis spicata +Pedicularis steiningeri +Pedicularis stenocorys subsp. melanotricha +Pedicularis stenocorys subsp. stenocorys +Pedicularis stenotheca +Pedicularis streptorhyncha +Pedicularis striata +Pedicularis strobilacea +Pedicularis stylosa +Pedicularis subulatidens +Pedicularis superba +Pedicularis szetschuanica subsp. anastomosans +Pedicularis szetschuanica subsp. latifolia +Pedicularis szetschuanica subsp. szetschuanica +Pedicularis takpoensis +Pedicularis tapaoensis +Pedicularis tatsienensis +Pedicularis tayloriana +Pedicularis tenacifolia +Pedicularis tenera +Pedicularis tenuicaulis +Pedicularis tenuisecta +Pedicularis tenuituba +Pedicularis ternata +Pedicularis thamnophila subsp. cupuliformis +Pedicularis thamnophila subsp. thamnophila +Pedicularis tibetica +Pedicularis tomentosa +Pedicularis tongolensis +Pedicularis torta +Pedicularis triangularidens subsp. chrysosplenioides +Pedicularis triangularidens subsp. triangularidens +Pedicularis trichocymba +Pedicularis trichoglossa +Pedicularis trichomata +Pedicularis tricolor var. aequiretusa +Pedicularis tricolor var. tricolor +Pedicularis tristis +Pedicularis tsaii +Pedicularis tsarungensis +Pedicularis tsekouensis +Pedicularis umbelliformis +Pedicularis urceolata +Pedicularis variegata +Pedicularis verbenifolia +Pedicularis veronicifolia +Pedicularis verticillata subsp. tangutica +Pedicularis verticillata subsp. verticillata +Pedicularis vialii +Pedicularis violascens +Pedicularis wallichii +Pedicularis wardii +Pedicularis weixiensis +Pedicularis wilsonii +Pedicularis xiangchengensis +Pedicularis yanyuanensis +Pedicularis yui var. ciliata +Pedicularis yui var. yui +Pedicularis yunnanensis +Pedicularis zayuensis +Pedicularis zhongdianensis +Phtheirospermum japonicum +Phtheirospermum tenuisectum +Pterygiella bartschioides +Pterygiella cylindrica +Pterygiella duclouxii +Pterygiella nigrescens +Siphonostegia chinensis +Striga masuria +Xizangia serrata +Pinguicula alpina +Utricularia aurea +Utricularia australis +Utricularia brachiata +Utricularia gibba +Utricularia graminifolia +Utricularia salwinensis +Utricularia scandens +Utricularia stellaris +Utricularia striatula +Utricularia vulgaris +Barleria cristata +Barleria integrisepala +Cystacanthus affinis +Dicliptera chinensis +Dicliptera elegans +Hypoestes triflora +Isoglossa collina +Justicia albovelata +Justicia procumbens +Justicia xerobatica +Justicia xylopoda +Justicia yunnanensis +Pararuellia delavayana +Peristrophe yunnanensis +Phlogacanthus curviflorus +Phlogacanthus pubinervius +Strobilanthes affinis +Strobilanthes aprica +Strobilanthes atropurpurea var. atropurpurea +Strobilanthes capitata +Strobilanthes extensa +Strobilanthes forrestii +Strobilanthes helicta +Strobilanthes henryi +Strobilanthes inflata var. gongshanensis +Strobilanthes lachenensis +Strobilanthes mastersii +Strobilanthes medogensis +Strobilanthes nemorosa +Strobilanthes oresbia +Strobilanthes penstemonoides +Strobilanthes versicolor +Strobilanthes yunnanensis +Thunbergia coccinea +Thunbergia fragrans +Catalpa tibetica +Incarvillea altissima +Incarvillea arguta +Incarvillea beresowskii +Incarvillea compacta +Incarvillea delavayi +Incarvillea forrestii +Incarvillea lutea +Incarvillea mairei var. grandiflora +Incarvillea mairei var. mairei +Incarvillea sinensis var. przewalskii +Incarvillea sinensis var. sinensis +Incarvillea younghusbandii +Radermachera yunnanensis +Phyla nodiflora +Verbena officinalis +Helwingia chinensis var. chinensis +Helwingia chinensis var. crenata +Helwingia himalaica +Helwingia japonica var. hypoleuca +Helwingia japonica var. japonica +Helwingia japonica var. papillosa +Ilex atrata var. wangii +Ilex bioritsensis +Ilex centrochinensis +Ilex chartaceifolia var. chartaceifolia +Ilex ciliospinosa +Ilex corallina var. corallina +Ilex cyrtura +Ilex delavayi var. delavayi +Ilex dicarpa +Ilex dipyrena +Ilex forrestii var. forrestii +Ilex fragilis +Ilex franchetiana var. franchetiana +Ilex georgei +Ilex hookeri +Ilex intricata +Ilex longecaudata var. longecaudata +Ilex macrostigma +Ilex mamillata +Ilex manneiensis +Ilex medogensis +Ilex melanotricha +Ilex micrococca +Ilex micropyrena +Ilex nothofagifolia +Ilex pernyi +Ilex perryana +Ilex polyneura +Ilex pubigera +Ilex punctatilimba +Ilex rockii +Ilex rotunda +Ilex serrata +Ilex sikkimensis +Ilex sublongecaudata +Ilex subrugosa +Ilex szechwanensis var. szechwanensis +Ilex triflora var. triflora +Ilex umbellulata +Ilex venulosa var. venulosa +Ilex wardii +Ilex xizangensis +Ilex yuana +Ilex yunnanensis var. yunnanensis +Adenophora capillaris subsp. capillaris +Adenophora coelestis +Adenophora himalayana subsp. alpina +Adenophora himalayana subsp. himalayana +Adenophora jasionifolia +Adenophora khasiana +Adenophora liliifolioides +Adenophora lobophylla +Adenophora potaninii subsp. potaninii +Adenophora potaninii var. bockiana +Adenophora stenanthina subsp. sylvatica +Adenophora stenanthina var. crispata +Adenophora stenanthina var. stenanthina +Adenophora stricta subsp. aurita +Adenophora stricta subsp. confusa +Asyneuma chinense +Asyneuma fulgens +Campanula aristata +Campanula calcicola +Campanula cana +Campanula chinensis +Campanula chrysospleniifolia +Campanula crenulata +Campanula delavayi +Campanula glomeratoides +Campanula immodesta +Campanula nakaoi +Campanula pallida +Campanula yunnanensis +Campanumoea inflata +Campanumoea javanica subsp. japonica +Codonopsis affinis +Codonopsis alpina +Codonopsis benthamii +Codonopsis bhutanica +Codonopsis bulleyana +Codonopsis canescens +Codonopsis chlorocodon +Codonopsis clematidea +Codonopsis convolvulacea subsp. forrestii +Codonopsis convolvulacea subsp. vinciflora +Codonopsis cordifolioidea +Codonopsis deltoidea +Codonopsis dicentrifolia +Codonopsis foetens subsp. foetens +Codonopsis foetens subsp. nervosa +Codonopsis gombalana +Codonopsis henryi +Codonopsis levicalyx +Codonopsis meleagris +Codonopsis micrantha +Codonopsis pianmaensis +Codonopsis pilosula subsp. handeliana +Codonopsis pilosula subsp. tangshen +Codonopsis pilosula var. pilosula +Codonopsis purpurea +Codonopsis rosulata +Codonopsis rotundifolia +Codonopsis subglobosa +Codonopsis subscaposa +Codonopsis subsimplex +Codonopsis thalictrifolia +Codonopsis tubulosa +Codonopsis viridiflora +Codonopsis viridis +Cyananthus chungdianensis +Cyananthus cordifolius +Cyananthus delavayi +Cyananthus fasciculatus +Cyananthus flavus subsp. flavus +Cyananthus formosus +Cyananthus hookeri +Cyananthus incanus +Cyananthus inflatus +Cyananthus lichiangensis +Cyananthus lobatus +Cyananthus longiflorus +Cyananthus macrocalyx subsp. macrocalyx +Cyananthus macrocalyx subsp. spathulifolius +Cyananthus microphyllus +Cyananthus pedunculatus +Cyananthus sericeus +Cyananthus sherriffii +Cyclocodon celebicus +Homocodon pedicellatus +Leptocodon gracilis +Leptocodon hirsutus +Lobelia alsinoides +Lobelia bibetica +Lobelia colorata +Lobelia doniana +Lobelia erectiuscula +Lobelia montana +Lobelia nummularia +Lobelia pleotricha +Lobelia pyramidalis +Lobelia reflexa +Lobelia sequinii +Lobelia sessilifolia +Peracarpa carnosa +Platycodon grandiflorus +Wahlenbergia marginata +Menyanthes trifoliata +Nymphoides indica +Nymphoides peltata +Acmella paniculata +Adenocaulon himalaicum +Adenocaulon lavenia +Adenostemma lavenia var. latifolium +Ainsliaea aptera +Ainsliaea crassifolia +Ainsliaea fulvipes +Ainsliaea henryi +Ainsliaea latifolia +Ainsliaea macrocephala +Ainsliaea mairei +Ainsliaea reflexa +Ajania brachyantha +Ajania breviloba +Ajania fastigiata +Ajania fruticulosa +Ajania khartensis +Ajania myriantha +Ajania nematoloba +Ajania nitida +Ajania nubigena +Ajania potaninii +Ajania przewalskii +Ajania purpurea +Ajania qiraica +Ajania quercifolia +Ajania ramosa +Ajania remotipinna +Ajania salicifolia +Ajania scharnhorstii +Ajania tenuifolia +Ajania tibetica +Ajania trilobata +Ajaniopsis penicilliformis +Alfredia acantholepis +Allardia glabra +Allardia huegelii +Allardia lasiocarpa +Allardia nivea +Allardia stoliczkae +Allardia tomentosa +Allardia vestita +Anaphalis acutifolia +Anaphalis aureopunctata var. atrata +Anaphalis aureopunctata var. aureopunctata +Anaphalis batangensis +Anaphalis bicolor var. bicolor +Anaphalis bicolor var. kokonorica +Anaphalis bicolor var. subconcolor +Anaphalis bulleyana +Anaphalis busua +Anaphalis chlamydophylla +Anaphalis chungtienensis +Anaphalis cinerascens var. cinerascens +Anaphalis contorta +Anaphalis corymbifera +Anaphalis delavayi +Anaphalis deserti +Anaphalis dioica +Anaphalis elegans +Anaphalis flavescens +Anaphalis gracilis var. aspera +Anaphalis gracilis var. gracilis +Anaphalis hancockii +Anaphalis lactea +Anaphalis larium +Anaphalis latialata +Anaphalis likiangensis +Anaphalis margaritacea var. cinnamomea +Anaphalis margaritacea var. japonica +Anaphalis margaritacea var. margaritacea +Anaphalis muliensis +Anaphalis nepalensis var. corymbosa +Anaphalis nepalensis var. monocephala +Anaphalis nepalensis var. nepalensis +Anaphalis oxyphylla +Anaphalis pachylaena +Anaphalis pannosa +Anaphalis plicata +Anaphalis porphyrolepis +Anaphalis rhododactyla +Anaphalis souliei +Anaphalis spodiophylla +Anaphalis stenocephala +Anaphalis suffruticosa +Anaphalis surculosa +Anaphalis szechuanensis +Anaphalis tibetica +Anaphalis triplinervis +Anaphalis virens +Anaphalis virgata +Anaphalis viridis var. acaulis +Anaphalis viridis var. viridis +Anaphalis xylorhiza +Anaphalis yunnanensis +Arctium lappa +Artemisia abaensis +Artemisia anethifolia +Artemisia anethoides +Artemisia annua +Artemisia argyi +Artemisia argyrophylla var. brevis +Artemisia aschurbajewii +Artemisia austriaca +Artemisia baimaensis +Artemisia calophylla +Artemisia campbellii +Artemisia chingii +Artemisia conaensis +Artemisia dalai-lamae +Artemisia demissa +Artemisia desertorum var. desertorum +Artemisia desertorum var. foetida +Artemisia desertorum var. tongolensis +Artemisia divaricata +Artemisia dracunculus var. changaica +Artemisia dracunculus var. pamirica +Artemisia dracunculus var. qinghaiensis +Artemisia dracunculus var. tonglensis +Artemisia dracunculus var. turkestanica +Artemisia dubia var. dubia +Artemisia dubia var. subdigitata +Artemisia duthreuil-de-rhinsi +Artemisia eriopoda var. eriopoda +Artemisia erlangshanensis +Artemisia forrestii +Artemisia frigida var. atropurpurea +Artemisia frigida var. frigida +Artemisia fulgens +Artemisia gansuensis var. gansuensis +Artemisia gmelinii +Artemisia gyangzeensis +Artemisia gyitangensis +Artemisia halodendron +Artemisia hedinii +Artemisia imponens +Artemisia indica var. indica +Artemisia japonica +Artemisia jilongensis +Artemisia kangmarensis +Artemisia kuschakewiczii +Artemisia lactiflora var. lactiflora +Artemisia lavandulaefolia +Artemisia leucophylla +Artemisia macrocephala +Artemisia mattfeldii var. etomentosa +Artemisia mattfeldii var. mattfeldii +Artemisia minor +Artemisia mongolica +Artemisia moorcroftiana +Artemisia myriantha var. myriantha +Artemisia myriantha var. pleiocephala +Artemisia nanschanica +Artemisia nujianensis +Artemisia occidentalisichuanensis +Artemisia ordosica +Artemisia orientali-hengduangensis +Artemisia parviflora +Artemisia persica +Artemisia pewzowii +Artemisia phaeolepis +Artemisia phyllobotrys +Artemisia prattii +Artemisia princeps +Artemisia przewalskii +Artemisia robusta +Artemisia roxburghiana +Artemisia rupestris +Artemisia rutifolia +Artemisia sacrorum +Artemisia saposhnikovi +Artemisia scoparia +Artemisia sieversiana +Artemisia sinensis +Artemisia smithii +Artemisia speciosa +Artemisia stracheyi +Artemisia stricta var. diffusa +Artemisia stricta var. stricta +Artemisia succulentoides +Artemisia sylvatica +Artemisia tafelii +Artemisia tainingensis var. nitida +Artemisia tainingensis var. tainingensis +Artemisia tangutica +Artemisia thellungiana +Artemisia tournefortiana +Artemisia tridactyla +Artemisia velutina +Artemisia verbenacea +Artemisia verlotorum +Artemisia vestita +Artemisia vexans +Artemisia viscida +Artemisia viscidissima +Artemisia vulgaris var. vulgaris +Artemisia vulgaris var. xizangensis +Artemisia waltonii +Artemisia wellbyi +Artemisia xerophytica +Artemisia xigazeensis +Artemisia yadongensis +Artemisia younghusbandii +Artemisia youngii +Artemisia yunnanensis +Artemisia zayuensis +Artemisia zhongdianensis +Askellia flexuosa +Askellia karelinii +Askellia lactea +Askellia pygmaea +Aster ageratoides var. holophyllus +Aster albescens var. albescens +Aster albescens var. glandulosus +Aster albescens var. levissimus +Aster albescens var. limprichtii +Aster albescens var. pilosus +Aster albescens var. salignus +Aster alpinus var. alpinus +Aster alpinus var. diversisquamus +Aster altaicus +Aster argyropholis var. argyropholis +Aster asteroides +Aster auriculatus +Aster barbellatus +Aster batangensis var. batangensis +Aster bietii +Aster bipinnatisectus +Aster boweri +Aster brachytrichus +Aster brevis +Aster bulleyanus +Aster crenatifolius +Aster diplostephioides +Aster dolichopodus +Aster eligulatus +Aster falcifolius +Aster farreri +Aster flaccidus subsp. flaccidus +Aster flaccidus subsp. glandulosus +Aster fulgidulus +Aster fuscescens var. fuscescens +Aster fuscescens var. oblongifolius +Aster fuscescens var. scaberoides +Aster gouldii +Aster handelii +Aster hersileoides +Aster himalaicus +Aster hololachnus +Aster homochlamydeus +Aster hypoleucus +Aster indamellus +Aster indicus var. indicus +Aster ionoglossus +Aster jeffreyanus +Aster lanuginosus +Aster latibracteatus +Aster lavandulifolius +Aster likiangensis +Aster lingulatus +Aster megalanthus +Aster molliusculus +Aster mongolicus +Aster moupinsensis +Aster neoelegans +Aster oreophilus +Aster platylepis +Aster poliothamnus +Aster polius +Aster prainii +Aster pseudosimplex +Aster pycnophyllus +Aster retusus +Aster ruoqiangensis +Aster salwinensis +Aster semiprostratus +Aster senecioides +Aster setchuenensis +Aster sikuensis +Aster smithianus +Aster souliei +Aster stracheyi +Aster techinensis +Aster tientschwanensis +Aster tongolensis +Aster tricephalus +Aster trichoneurus +Aster trinervius subsp. ageratoides +Aster trinervius subsp. trinervius +Aster tsarungensis +Aster verticillatus +Aster vestitus +Aster yunnanensis var. labrangensis +Aster yunnanensis var. yunnanensis +Asterothamnus centrali-asiaticus +Asterothamnus fruticosus +Bidens bipinnata +Bidens cernua +Bidens parviflora +Bidens tripartita +Blumea adenophora +Blumea axillaris +Blumea oxyodonta +Blumea veronicifolia +Bolocephalus saussureoides +Brachanthemum pulvinatum +Cacalia palmatisectus var. moupinensis +Cancrinia lasiocarpa +Cancrinia maximowiczii +Carduus acanthoides +Carduus crispus +Carpesium abrotanoides +Carpesium cernuum +Carpesium cordatum +Carpesium humile +Carpesium lipskyi +Carpesium minus +Carpesium nepalense var. lanatum +Carpesium nepalense var. nepalense +Carpesium scapiforme +Carpesium tracheliifolium +Carpesium triste +Carpesium velutinum +Cavea tanguensis +Centipeda minima +Chondrilla ambigua +Chondrilla brevirostris +Chondrilla laticoronata +Chondrilla lejosperma +Chondrilla ornata +Chondrilla piptocoma +Chrysanthemum chanetii +Chrysanthemum glabriusculum +Chrysanthemum hypargyreum +Chrysanthemum lavandulifolium var. lavandulifolium +Chrysanthemum lavandulifolium var. tomentellum +Cicerbita auriculiformis +Cicerbita azurea +Cicerbita macrorrhiza var. macrorrhiza +Cicerbita macrorrhiza var. saxatiliss +Cicerbita roborowskii +Cicerbita zhenduoi +Cirsium argyracanthum +Cirsium arvense var. alpestre +Cirsium arvense var. arvense +Cirsium arvense var. integrifolium +Cirsium botryodes +Cirsium chlorolepis +Cirsium eriophoroides +Cirsium esculentum +Cirsium fargesii +Cirsium glabrifolium +Cirsium handelii +Cirsium henryi +Cirsium interpositum +Cirsium japonicum +Cirsium leducii +Cirsium leo +Cirsium lidjiangense +Cirsium noploshandelii +Cirsium periacanthaceum +Cirsium semenowii +Cirsium shansiense +Cirsium souliei +Cirsium subulariforme +Cirsium verutum +Cissampelopsis corifolia +Cissampelopsis spelaeicola +Cissampelopsis volubilis +Conyza stricta var. pinnatifida +Cosmos bipinnatus +Cousinia caespitosa +Cousinia lasiophylla +Cousinia leiocephala +Cousinia sclerolepis +Cousinia thomsonii +Crassocephalum crepidioides +Cremanthodium angustifolium +Cremanthodium arnicoides +Cremanthodium bhutanicum +Cremanthodium botryocephalum +Cremanthodium brachychaetum +Cremanthodium brunneopilosum +Cremanthodium bulbilliferum +Cremanthodium bupleurifolium +Cremanthodium calcicola +Cremanthodium campanulatum +Cremanthodium chungdienense +Cremanthodium conaense +Cremanthodium cucullatum +Cremanthodium cyclaminanthum +Cremanthodium daochengense +Cremanthodium decaisnei +Cremanthodium delavayi +Cremanthodium discoideum +Cremanthodium dissectum +Cremanthodium ellisii var. ellisii +Cremanthodium ellisii var. ramosum +Cremanthodium farreri +Cremanthodium forrestii +Cremanthodium glandulipilosum +Cremanthodium glaucum +Cremanthodium helianthus +Cremanthodium humile +Cremanthodium laciniatum +Cremanthodium lineare var. lineare +Cremanthodium lingulatum +Cremanthodium microglossum +Cremanthodium microphyllum +Cremanthodium nanum +Cremanthodium nepalense +Cremanthodium nervosum +Cremanthodium nobile +Cremanthodium oblongatum +Cremanthodium obovatum +Cremanthodium palmatum +Cremanthodium phyllodineum +Cremanthodium pinnatifidum +Cremanthodium pinnatisectum +Cremanthodium potaninii +Cremanthodium prattii +Cremanthodium pseudo-oblongatum +Cremanthodium puberulum +Cremanthodium pulchrum +Cremanthodium purpureifolium +Cremanthodium reniforme +Cremanthodium rhodocephalum +Cremanthodium sino-oblongatum +Cremanthodium smithianum +Cremanthodium spathulifolium +Cremanthodium stenactinium +Cremanthodium stenoglossum +Cremanthodium suave +Cremanthodium thomsonii +Cremanthodium trilobum +Cremanthodium variifolium +Cremanthodium yadongense +Crepidiastrum denticulatum +Crepidiastrum tenuifolium +Crepis chrysantha +Crepis crocea +Crepis elongata +Crepis flexuosa var. tenuifolia +Crepis minuta +Dichrocephala benthamii +Dichrocephala chrysanthemifolia +Dichrocephala integrifolia +Diplazoptilon cooperi +Diplazoptilon picridifolium +Dolomiaea calophylla +Dolomiaea crispoundulata +Dolomiaea edulis +Dolomiaea forrestii +Dolomiaea macrocephala +Dolomiaea platylepis +Dolomiaea salwinensis +Dolomiaea souliei +Dolomiaea wardii +Doronicum altaicum +Doronicum calotum +Doronicum stenoglossum +Dubyaea gombalana +Dubyaea hispida +Duhaldea cappa +Duhaldea eupatorioides +Duhaldea forrestii +Duhaldea nervosa +Duhaldea pterocaula +Echinops gmelini +Echinops humilis +Echinops nanus +Eclipta prostrata +Erigeron acris subsp. acris +Erigeron acris subsp. politus +Erigeron annuus +Erigeron bonariensis +Erigeron breviscapus +Erigeron canadensis +Erigeron eriocalyx var. eriocalyx +Erigeron eriocalyx var. glandulosus +Erigeron himalajensis +Erigeron kiukiangensis +Erigeron krylovii +Erigeron lanuginosus +Erigeron leioreades +Erigeron leucoglossus +Erigeron multifolius +Erigeron multiradiatus +Erigeron oreades +Erigeron patentisquama +Erigeron porphyrolepis +Erigeron pseudoseravschanicus +Erigeron pseudotenuicaulis +Erigeron purpurascens +Erigeron schmalhausenii +Erigeron sumatrensis +Erigeron vicarius +Eschenbachia blinii +Eschenbachia japonica +Eschenbachia muliensis +Eupatorium heterophyllum +Eupatorium japonicum +Filago arvensis +Formania mekongensis +Galatella chromopappa +Galinsoga parviflora +Gerbera curvisquama +Gerbera maxima +Gerbera nivea +Gerbera piloselloides +Gnaphalium affine +Gnaphalium chrysocephalum +Gnaphalium flavescens +Gnaphalium hypoleucum +Gnaphalium stewartii +Gnomophalium pulvinatum +Gynura cusimbua +Gynura japonica +Helichrysum kashgaricum +Hemisteptia lyrata +Himalaiella deltoidea +Himalaiella qinghaiensis +Hippolytia delavayi +Hippolytia desmantha +Hippolytia glomerata +Hippolytia gossypina +Hippolytia kennedyi +Hippolytia megacephala +Hippolytia senecionis +Hippolytia syncalathiformis +Hippolytia tomentosa +Hippolytia yunnanensis +Inula helianthus-aquatilis +Inula hookeri +Inula japonica +Inula racemosa +Inula rhizocephala +Inula salsoloides +Inula sericophylla +Ixeridium gracile +Ixeris chinensis subsp. chinensis +Ixeris chinensis subsp. versicolor +Jurinea algida +Jurinea kaschgarica +Kaschgaria brachanthemoides +Klasea centauroides subsp. strangulata +Klasea procumbens +Koelpinia linearis +Lactuca dissecta +Lactuca tatarica +Lagenophora stipitata +Laggera crispata +Launaea polydichotoma +Leibnitzia anandria +Leibnitzia nepalensis +Leibnitzia pusilla +Leibnitzia ruficoma +Leontopodium artemisiifolium +Leontopodium aurantiacum +Leontopodium brachyactis +Leontopodium calocephalum +Leontopodium campestre +Leontopodium dedekensii +Leontopodium forrestianum +Leontopodium franchetii +Leontopodium haastioides +Leontopodium haplophylloides +Leontopodium himalayanum +Leontopodium jacotianum +Leontopodium junpeianum +Leontopodium leontopodioides +Leontopodium monocephalum +Leontopodium muscoides +Leontopodium nanum +Leontopodium niveum +Leontopodium ochroleucum +Leontopodium pusillum +Leontopodium roseum +Leontopodium sinense +Leontopodium souliei +Leontopodium stoechas var. stoechas +Leontopodium stoloniferum +Leontopodium stracheyi +Leontopodium subulatum var. subulatum +Leontopodium suffruticosum +Leontopodium wilsonii +Ligularia alatipes +Ligularia alpigena +Ligularia altaica +Ligularia atkinsonii +Ligularia atroviolacea +Ligularia botryodes +Ligularia brassicoides +Ligularia caloxantha +Ligularia chalybea +Ligularia changiana +Ligularia chimiliensis +Ligularia confertiflora +Ligularia cremanthodioides +Ligularia curvisquama +Ligularia cyathiceps +Ligularia cymbulifera +Ligularia cymosa +Ligularia dentata +Ligularia dictyoneura +Ligularia discoidea +Ligularia duciformis +Ligularia dux var. dux +Ligularia dux var. minima +Ligularia euryphylla +Ligularia franchetiana +Ligularia ghatsukupa +Ligularia hodgsonii +Ligularia hookeri +Ligularia kanaitzensis var. kanaitzensis +Ligularia kangtingensis +Ligularia konkalingensis +Ligularia lamarum +Ligularia lankongensis +Ligularia latipes +Ligularia liatroides +Ligularia lidjiangensis +Ligularia lingiana +Ligularia longifolia +Ligularia longihastata +Ligularia macrodonta +Ligularia melanocephala +Ligularia melanothyrsa +Ligularia microcardia +Ligularia microcephala +Ligularia muliensis +Ligularia myriocephala +Ligularia nelumbifolia +Ligularia nyingchiensis +Ligularia odontomanes +Ligularia oligonema +Ligularia petiolaris +Ligularia phoenicochaeta +Ligularia platyglossa +Ligularia platyphylla +Ligularia pleurocaulis +Ligularia potaninii +Ligularia przewalskii +Ligularia pterodonta +Ligularia pubifolia +Ligularia purdomii +Ligularia retusa +Ligularia rockiana +Ligularia ruficoma +Ligularia rumicifolia +Ligularia sachalinensis +Ligularia sagitta +Ligularia stenocephala var. stenocephala +Ligularia stenoglossa +Ligularia subspicata +Ligularia tangutorum +Ligularia tenuicaulis +Ligularia tongkyukensis +Ligularia tongolensis +Ligularia transversifolia +Ligularia tsangchanensis +Ligularia veitchiana +Ligularia vellerea +Ligularia villosa +Ligularia virgaurea var. virgaurea +Ligularia yunnanensis +Melanoseris cyanea +Melanoseris lessertiana +Melanoseris likiangensis +Melanoseris macrantha +Melanoseris macrorhiza +Myriactis nepalensis +Myriactis wallichii +Myriactis wightii +Nannoglottis carpesioides +Nannoglottis delavayi +Nannoglottis gynura +Nannoglottis latisquama +Nannoglottis macrocarpa +Nannoglottis ravida +Nannoglottis souliei +Nannoglottis yunnanensis +Nemosenecio incisifolius +Neobrachyactis anomala +Neobrachyactis pubescens +Neobrachyactis roylei +Neopallasia pectinata +Notoseris rhombiformis +Nouelia insignis +Olgaea pectinata +Olgaea roborowskyi +Olgaea tangutica +Onopordum leptolepis +Parasenecio deltophyllus +Parasenecio palmatisectus var. palmatisectus +Parasenecio pilgerianus +Parasenecio quinquelobus +Parasenecio roborowskii +Pentanema vestitum +Pertya discolor +Pertya phylicoides +Pertya uniflora +Petasites tricholobus +Petasites versipilus +Phagnalon niveum +Picris divaricata +Picris hieracioides +Picris japonica +Piloselloides hirsuta +Prenanthes brunoniana +Prenanthes maxcrophylla +Prenanthes sikkimensis +Prenanthes violaefolia +Pseudognaphalium affine +Psychrogeton poncinsii +Pulicaria chrysantha +Pulicaria insignis +Pyrethrum arrasanicum +Rhaponticum repens +Rhinactinidia limoniifolia +Richteria pyrethroides +Saussurea acroura +Saussurea aerjingensis +Saussurea amara +Saussurea andersoni +Saussurea andryaloides +Saussurea arenaria +Saussurea aster +Saussurea bella +Saussurea brachylepis +Saussurea bracteata +Saussurea brunneopilosa +Saussurea bullata +Saussurea cana +Saussurea caudata +Saussurea centiloba +Saussurea ceterach +Saussurea chapmanii +Saussurea chetchozensis var. chetchozensis +Saussurea chingiana +Saussurea chondrilloides +Saussurea cinerea +Saussurea cochleariifolia +Saussurea colpodes +Saussurea columnaris +Saussurea conaensis +Saussurea coriacea +Saussurea crispa +Saussurea daurica +Saussurea delavayi var. delavayi +Saussurea depsangensis +Saussurea dolichopoda +Saussurea dschungdienensis +Saussurea elliptica +Saussurea epilobioides +Saussurea eriocephala +Saussurea erubescens +Saussurea euodonta +Saussurea famintziniana +Saussurea fastuosa +Saussurea fistulosa +Saussurea flavo-virens +Saussurea georgei +Saussurea glacialis +Saussurea globosa +Saussurea gnaphalodes +Saussurea gossipiphora +Saussurea graciliformis +Saussurea graminea +Saussurea graminifolia +Saussurea grandiceps +Saussurea grosseserrata +Saussurea gyacaensis +Saussurea gymnocephala +Saussurea hemsleyi +Saussurea henryi +Saussurea hieracioides +Saussurea hookeri +Saussurea hylophila +Saussurea inversa +Saussurea japonica +Saussurea kansuensis +Saussurea kaschgarica +Saussurea katochaete +Saussurea kingii +Saussurea laciniata +Saussurea lacostei +Saussurea laniceps +Saussurea lavrenkoana +Saussurea leiocarpa +Saussurea leontodontoides +Saussurea leptolepis +Saussurea leucoma +Saussurea leucophylla +Saussurea lhunzhubensis +Saussurea licentiana +Saussurea lingulata +Saussurea longifolia +Saussurea loriformis +Saussurea lyratifolia +Saussurea macrota +Saussurea malitiosa +Saussurea medusa +Saussurea megaphylla +Saussurea melanotricha +Saussurea minuta +Saussurea mongolica +Saussurea muliensis +Saussurea nematolepis +Saussurea neofranchetii +Saussurea nimborum +Saussurea nyalamensis +Saussurea obvallata +Saussurea oligantha +Saussurea ovata +Saussurea paleacea +Saussurea parviflora +Saussurea paxiana +Saussurea peduncularis +Saussurea phaeantha +Saussurea pilinophylla +Saussurea pinetorum +Saussurea pinnatidentata +Saussurea polycolea +Saussurea polypodioides +Saussurea poochlamys +Saussurea populifolia +Saussurea porphyroleuca +Saussurea pratensis +Saussurea pseudomalitiosa +Saussurea pseudosalsa +Saussurea pteridophylla +Saussurea pubescens +Saussurea pubifolia var. lhasaensis +Saussurea pubifolia var. pubifolia +Saussurea pulchra +Saussurea pulvinata +Saussurea purpurascens +Saussurea quercifolia +Saussurea retroserrata +Saussurea rhytidocarpa +Saussurea rockii +Saussurea romuleifolia +Saussurea salsa +Saussurea salwinensis +Saussurea scabrida +Saussurea schlagintweiti +Saussurea schultzii +Saussurea semiamplexicaulis +Saussurea semifasciata +Saussurea semilyrata +Saussurea sericea +Saussurea simpsoniana +Saussurea stella +Saussurea stricta +Saussurea subulata +Saussurea subulisquama +Saussurea superba +Saussurea sylvatica +Saussurea tangutica +Saussurea taraxacifolia +Saussurea thomsonii +Saussurea thoroldii +Saussurea tibetica +Saussurea tridactyla var. maiduoganla +Saussurea tridactyla var. tridactyla +Saussurea uliginosa var. uliginosa +Saussurea uniflora +Saussurea ussuriensis +Saussurea variiloba +Saussurea velutina +Saussurea vestita +Saussurea wardii +Saussurea wellbyi +Saussurea wernerioides +Saussurea wettsteiniana +Saussurea woodiana +Saussurea yunnanensis +Schmalhausenia nidulans +Scorzonera austriaca +Scorzonera hotanica +Scorzonera mongolica +Scorzonera pamirica +Scorzonera parviflora +Scorzonera pseudodivaricata var. leiocarpa +Scorzonera pseudodivaricata var. pseudodivaricata +Scorzonera pusilla +Senecio analogus +Senecio arachnanthus +Senecio argunensis +Senecio atrofuscus +Senecio biligulatus +Senecio chenopodifolius +Senecio chungtienensis +Senecio daochengensis +Senecio densiflorus +Senecio densiserratus +Senecio desfontainei +Senecio diversipinnus +Senecio dodrans +Senecio drukensis +Senecio dubitabilis +Senecio echaetus +Senecio faberi +Senecio filiferus +Senecio graciliflorus +Senecio jacobaea +Senecio jiulongensis +Senecio kawaguchii +Senecio kongboensis +Senecio krascheninnikovii +Senecio kunlunshanicus +Senecio lhasaensis +Senecio lijiangensis +Senecio lingianus +Senecio megalanthus +Senecio muliensis +Senecio multibracteolatus +Senecio nemorensis +Senecio nigrocinctus +Senecio nodiflorus +Senecio nudicaulis +Senecio obtusatus +Senecio pseudomairei +Senecio pteridophyllus +Senecio ramosa +Senecio raphanifolius +Senecio saussureoides +Senecio scandens var. incisus +Senecio scandens var. scandens +Senecio scapiformis +Senecio spathiphyllus +Senecio thianschanicus +Senecio tibeticus +Senecio tricuspis +Senecio wightii +Seriphidium aucheri +Seriphidium brevifolium +Seriphidium compactum +Seriphidium fedtschenkoanum +Seriphidium ferganense +Seriphidium gracilescens +Seriphidium grenardii +Seriphidium issykkulense +Seriphidium korovinii +Seriphidium mongolorum +Seriphidium rhodanthum +Seriphidium thomsonianum +Seriphidium transiliense +Serratula forrestii +Sigesbeckia orientalis +Sigesbeckia pubescens +Sinacalia caroli +Sinacalia davidii +Sinacalia tangutica +Sinoleontopodium lingianum +Sinosenecio euosmus +Sinosenecio fangianus +Sinosenecio oldhamianus +Sinosenecio rotundifolius +Sinosenecio rufus +Sinosenecio subrosulatus +Sinosenecio sungpanensis +Sonchella dentata +Sonchus asper +Sonchus oleraceus +Sonchus transcaspicus +Sonchus wightianus +Soroseris depressa +Soroseris erysimoides +Soroseris glomerata +Soroseris hookeriana +Soroseris trichocarpa +Soroseris umbrella +Stilpnolepis intricata +Symphyotrichum ciliatum +Syncalathium chrysocephalum +Syncalathium disciforme +Syncalathium kawaguchii +Syncalathium porphyreum +Syncalathium roseum +Syncalathium souliei +Synotis acuminata +Synotis alata +Synotis cappa +Synotis chingiana +Synotis erythropappa +Synotis glomerata +Synotis lucorum +Synotis muliensis +Synotis saluenensis +Synotis setchuenensis +Synotis solidaginea +Synotis tetrantha +Synotis triligulata +Synotis xantholeuca +Synotis yakoensis +Synotis yui +Tanacetum atkinsonii +Tanacetum pulchrum +Tanacetum tatsienense var. tanacetopsis +Tanacetum tatsienense var. tatsienense +Taraxacum albiflos +Taraxacum apargiiforme +Taraxacum bicolor +Taraxacum brevirostre +Taraxacum centrasiaticum +Taraxacum dealbatum +Taraxacum dissectum +Taraxacum eriopodum +Taraxacum glabrum +Taraxacum goloskokovii +Taraxacum grypodon +Taraxacum ikonnikovii +Taraxacum lanigerum +Taraxacum lugubre +Taraxacum luridum +Taraxacum maurocarpum +Taraxacum minutilobum +Taraxacum mitalii +Taraxacum mongolicum +Taraxacum officinale +Taraxacum pingue +Taraxacum platypecidum +Taraxacum pseudominutilobum +Taraxacum qirae +Taraxacum sikkimense +Taraxacum stanjukoviczii +Taraxacum stenoceras +Taraxacum subglaciale +Taraxacum tibetanum +Tephroseris kirilowii +Tephroseris rufa var. chaetocarpa +Tephroseris rufa var. rufa +Tephroseris stolonifera +Tragopogon gracilis +Tragopogon pratensis +Tragopogon songoricus +Tricholepis tibetica +Tripolium pannonicum +Tussilago farfara +Vernonia blanda +Vernonia cinerea +Vernonia esculenta +Vernonia extense +Vernonia forrestii +Vernonia saligna +Vernonia volkameriaefolia +Wollastonia montana +Xanthium strumarium +Xanthopappus subacaulis +Youngia atripappa +Youngia diversifolia +Youngia gracilipes +Youngia japonica +Youngia paleacea +Youngia racemifera +Youngia simulatrix +Youngia tenuicaulis +Youngia tenuifolia +Youngia wilsonii +Adoxa moschatellina +Sambucus adnata +Sambucus ebulus +Sambucus javanica +Sambucus williamsii +Sinadoxa corydalifolia +Viburnum atrocyaneum +Viburnum betulifolium +Viburnum brevitubum +Viburnum chinshanense +Viburnum congestum +Viburnum cotinifolium +Viburnum cylindricum +Viburnum erubescens +Viburnum farreri +Viburnum foetidum +Viburnum glomeratum +Viburnum grandiflorum +Viburnum kansuense +Viburnum macrocephalum +Viburnum mongolicum +Viburnum mullaha var. glabrescens +Viburnum mullaha var. mullaha +Viburnum nervosum +Viburnum oliganthum +Viburnum schensianum +Viburnum subalpinum +Abelia forrestii +Abelia parvifolia +Abelia umbellata +Dipelta elegans +Dipelta yunnanensis +Dipsacus asper +Dipsacus atratus +Dipsacus chinensis +Dipsacus japonicus +Leycesteria crocothyrsos +Leycesteria formosa +Leycesteria glaucophylla +Leycesteria gracilis +Leycesteria stipulata +Lonicera acuminata var. acuminata +Lonicera acuminata var. giraldii +Lonicera angustifolia var. angustifolia +Lonicera angustifolia var. myrtillus +Lonicera bournei +Lonicera caerulea +Lonicera calcarata +Lonicera chrysantha subsp. chrysantha +Lonicera chrysantha var. koehneana +Lonicera cyanocarpa +Lonicera ferdinandi +Lonicera fragrantissima var. fragrantissima +Lonicera glabrata var. glabrata +Lonicera glabrata var. hirticaulis +Lonicera harmsii +Lonicera hispida var. bracteata +Lonicera hispida var. chaetocarpa +Lonicera hispida var. hirsutior +Lonicera hispida var. hispida +Lonicera hispida var. setosa +Lonicera humilis +Lonicera hypoleuca +Lonicera kansuensis +Lonicera lanceolata var. glabra +Lonicera ligustrina var. yunnanensis +Lonicera litangensis +Lonicera maackii +Lonicera microphylla +Lonicera nervosa +Lonicera nigra +Lonicera reticulata +Lonicera retusa +Lonicera rupicola subsp. syringantha +Lonicera rupicola var. minuta +Lonicera rupicola var. rupicola +Lonicera semenovii +Lonicera setifera +Lonicera simulatrix +Lonicera spinosa +Lonicera tangutica +Lonicera thibetica +Lonicera tomentella var. tomentella +Lonicera tomentella var. tsarongensis +Lonicera trichosantha var. deflexicalyx +Lonicera trichosantha var. trichosantha +Lonicera webbiana +Morina alba +Morina chinensis +Morina chlorantha +Morina kokonorica +Morina nepalensis subsp. delavayi +Morina nepalensis subsp. nepalensis +Nardostachys grandiflora +Nardostachys jatamansi +Patrinia heterophylla +Patrinia intermedia +Patrinia monandra +Patrinia rupestris +Patrinia scabiosifolia +Patrinia speciosa +Pterocephalus bretschneideri +Pterocephalus hookeri +Scabiosa ochroleuca +Triosteum himalayanum +Triosteum pinnatifidum +Triplostegia glandulifera +Triplostegia grandiflora +Valeriana barbulata +Valeriana cymbocarpa +Valeriana daphniflora +Valeriana fedtschenkoi +Valeriana flaccidissima +Valeriana flagellifera +Valeriana hardwickii +Valeriana hengduanensis +Valeriana hiemalis +Valeriana hirticalyx +Valeriana jatamansi +Valeriana meonantha +Valeriana minutiflora +Valeriana officinalis +Valeriana sichuanica +Valeriana stenoptera +Valeriana tangutica +Weigela florida +Zabelia dielsii +Zabelia triflora +Pittosporum angustilimbum +Pittosporum brevicalyx +Pittosporum heterophyllum +Pittosporum johnstonianum +Pittosporum napaulense +Pittosporum podocarpum +Pittosporum saxicola +Pittosporum truncatum +Acanthopanax gracilistylus +Aralia apioides +Aralia atropurpurea +Aralia caesia var. pubescens +Aralia chinensis +Aralia fargesii +Aralia tibetana +Brassaiopsis ciliata +Brassaiopsis fatsioides +Brassaiopsis glomerulata +Brassaiopsis hainla +Brassaiopsis hispida +Brassaiopsis liana +Brassaiopsis shweliensis +Brassaiopsis simplicifolia +Brassaiopsis tibetana +Dendropanax burmanicus +Eleutherococcus cissifolius +Eleutherococcus giraldii +Eleutherococcus henryi +Eleutherococcus henryi var. henryi +Eleutherococcus lasiogyne +Eleutherococcus senticosus +Eleutherococcus trifoliatus +Eleutherococcus verticillatus +Eleutherococcus wilsonii var. pilosulus +Eleutherococcus wilsonii var. wilsonii +Gamblea ciliata var. ciliata +Gamblea ciliata var. evodiifolia +Hedera nepalensis var. nepalensis +Hedera nepalensis var. sinensis +Macropanax dispermus +Macropanax undulatus +Merrilliopanax alpinus +Merrilliopanax listeri +Metapanax davidii +Metapanax delavayi +Panax japonicus var. bipinnatifidus +Panax japonicus var. japonicus +Panax japonicus var. major +Panax notoginseng +Pentapanax caesius +Pentapanax fragrans var. fragrans +Pentapanax henryi +Pentapanax leschenaultii var. leschenaultii +Pentapanax leschenaultii var. umbellatus +Pentapanax leschenaultii var. villosus +Pentapanax parasiticus var. khasianus +Pentapanax parasiticus var. parasiticus +Pentapanax racemosus +Pentapanax wilsonii +Schefflera chinensis +Schefflera elliptica +Schefflera glabrescens +Schefflera heptaphylla +Schefflera hoi +Schefflera khasiana +Schefflera leucantha +Schefflera minutistellata +Schefflera multinervia +Schefflera rhododendrifolia +Schefflera wardii +Trevesia palmata +Tupidanthus calyptratus +Acronema alpinum +Acronema astrantiifolium +Acronema brevipedicellatum +Acronema chienii var. chienii +Acronema chinense var. chinense +Acronema chinense var. humile +Acronema commutatum +Acronema forrestii +Acronema gracile +Acronema graminifolium +Acronema handelii +Acronema hookeri +Acronema johrianum +Acronema minus +Acronema muscicola +Acronema nervosum +Acronema paniculatum +Acronema schneideri +Acronema sichuanense +Acronema tenerum +Acronema xizangense +Aegopodium henryi +Angelica apaensis +Angelica balangshanensis +Angelica kangdingensis +Angelica laxifoliata +Angelica likiangensis +Angelica longipedicellata +Angelica maowenensis +Angelica nitida +Angelica omeiensis +Angelica oncosepala +Angelica paeoniifolia +Angelica pinnatiloba +Angelica pseudoselinum +Angelica sinensis var. sinensis +Angelica sinensis var. wilsonii +Angelica songpanensis +Angelica ternata +Anthriscus sylvestris subsp. nemorosa +Archangelica brevicaulis +Arcuatopterus linearifolius +Arcuatopterus sikkimensis +Arcuatopterus thalictrioideus +Bupleurum alatum +Bupleurum angustissimum +Bupleurum boissieuanum +Bupleurum candollei +Bupleurum chaishoui +Bupleurum commelynoideum var. commelynoideum +Bupleurum commelynoideum var. flaviflorum +Bupleurum condensatum +Bupleurum dalhousieanum +Bupleurum densiflorum +Bupleurum gracillimum +Bupleurum hamiltonii var. hamiltonii +Bupleurum hamiltonii var. humile +Bupleurum longicaule var. amplexicaule +Bupleurum longicaule var. franchetii +Bupleurum longicaule var. giraldii +Bupleurum longicaule var. longicaule +Bupleurum longicaule var. strictum +Bupleurum malconense +Bupleurum marginatum var. marginatum +Bupleurum marginatum var. stenophyllum +Bupleurum microcephalum +Bupleurum petiolulatum var. petiolulatum +Bupleurum petiolulatum var. tenerum +Bupleurum pusillum +Bupleurum rockii +Bupleurum smithii var. parvifolium +Bupleurum smithii var. smithii +Bupleurum triradiatum +Bupleurum wenchuanense +Bupleurum yinchowense +Bupleurum yunnanense +Carum buriaticum +Carum carvi f. carvi +Carum carvi f. gracile +Centella asiatica +Chaerophyllopsis huai +Chaerophyllum villosum +Chamaesium delavayi +Chamaesium novemjugum +Chamaesium paradoxum +Chamaesium thalictrifolium +Chamaesium viridiflorum +Cicuta virosa +Cnidium monnieri +Cortia depressa +Cortiella caespitosa +Cortiella cortioides +Cortiella hookeri +Cryptotaenia japonica +Cyclorhiza peucedanifolia +Cyclorhiza waltonii +Daucus carota +Dickinsia hydrocotyloides +Eriocycla nuda var. nuda +Eriocycla nuda var. purpurascens +Ferula hexiensis +Ferula jaeschkeana +Ferula kingdon-wardii +Ferula olivacea +Haplosphaera himalayensis +Haplosphaera phaea +Harrysmithia franchetii +Harrysmithia heterophylla +Heracleum bivittatum +Heracleum candicans var. candicans +Heracleum candicans var. obtusifolium +Heracleum forrestii +Heracleum franchetii +Heracleum hemsleyanum +Heracleum henryi +Heracleum kingdonii +Heracleum likiangense +Heracleum millefolium var. longilobum +Heracleum millefolium var. millefolium +Heracleum moellendorffii var. moellendorffii +Heracleum moellendorffii var. subbipinnatum +Heracleum nepalense +Heracleum nyalamense +Heracleum oreocharis +Heracleum rapula +Heracleum scabridum +Heracleum souliei +Heracleum stenopterum +Heracleum subtomentellum +Heracleum vicinum +Heracleum yungningense +Heracleum yunnanense +Hydrocotyle himalaica +Hydrocotyle hookeri subsp. chinensis +Hydrocotyle hookeri subsp. hookeri +Hydrocotyle nepalensis +Hydrocotyle salwinica +Hydrocotyle sibthorpioides +Hydrocotyle wilsonii +Libanotis buchtormensis +Libanotis depressa +Ligusticum acuminatum +Ligusticum angelicifolium +Ligusticum brachylobum +Ligusticum capillaceum +Ligusticum daucoides +Ligusticum delavayi +Ligusticum francheti +Ligusticum glaucifolium +Ligusticum gyirongense +Ligusticum hispidum +Ligusticum involucratum +Ligusticum kingdon-wardii +Ligusticum levistifolium +Ligusticum likiangense +Ligusticum littledalei +Ligusticum moniliforme +Ligusticum multivittatum +Ligusticum nematophyllum +Ligusticum oliverianum +Ligusticum pteridophyllum +Ligusticum rechingerianum +Ligusticum rockii +Ligusticum scapiforme +Ligusticum sikiangense +Ligusticum sinense var. sinense +Ligusticum tenuisectum +Ligusticum thomsonii +Ligusticum yushuense +Meeboldia achilleifolia +Meeboldia yunnanensis +Nothosmyrnium japonicum +Nothosmyrnium xizangense var. simpliciorum +Nothosmyrnium xizangense var. xizangense +Notopterygium forrestii +Notopterygium franchetii +Notopterygium incisum +Oenanthe hookeri +Oenanthe javanica subsp. javanica +Oenanthe javanica subsp. rosthornii +Oenanthe linearis subsp. linearis +Oenanthe linearis subsp. rivularis +Oenanthe thomsonii subsp. stenophylla +Oenanthe thomsonii subsp. thomsonii +Osmorhiza aristata var. aristata +Osmorhiza aristata var. laxa +Ostericum grosseserratum +Ostericum maximowiczii var. alpinum +Ostericum scaberulum var. longiinvolucellatum +Ostericum scaberulum var. scaberulum +Pachypleurum lhasanum +Pachypleurum muliense +Pachypleurum nyalamense +Pachypleurum xizangense +Peucedanum angelicoides +Peucedanum delavayi +Peucedanum falcaria +Peucedanum franchetii +Peucedanum macilentum +Peucedanum nanum +Peucedanum rubricaule +Peucedanum songpanense +Peucedanum turgeniifolium +Peucedanum violaceum +Physospermopsis alepidioides +Physospermopsis cuneata +Physospermopsis delavayi +Physospermopsis kingdon-wardii +Physospermopsis muliensis +Physospermopsis obtusiuscula +Physospermopsis rubrinervis +Physospermopsis shaniana +Pimpinella acuminata +Pimpinella arguta +Pimpinella bisinuata +Pimpinella candolleana +Pimpinella caudata +Pimpinella chungdienensis +Pimpinella coriacea +Pimpinella diversifolia var. diversifolia +Pimpinella diversifolia var. stolonifera +Pimpinella fargesii +Pimpinella flaccida +Pimpinella grisea +Pimpinella henryi +Pimpinella kingdon-wardii +Pimpinella monoica +Pimpinella purpurea +Pimpinella refracta +Pimpinella rhomboidea var. rhomboidea +Pimpinella rhomboidea var. tenuiloba +Pimpinella rockii +Pimpinella rubescens +Pimpinella silvatica +Pimpinella smithii +Pimpinella tibetanica +Pimpinella weishanensis +Pimpinella yunnanensis +Pleurospermum albimarginatum +Pleurospermum amabile +Pleurospermum angelicoides +Pleurospermum apiolens +Pleurospermum aromaticum +Pleurospermum astrantioideum +Pleurospermum benthamii +Pleurospermum bicolor +Pleurospermum calcareum +Pleurospermum cristatum +Pleurospermum decurrens +Pleurospermum foetens +Pleurospermum franchetianum +Pleurospermum handelii +Pleurospermum hedinii +Pleurospermum heracleifolium +Pleurospermum heterosciadium +Pleurospermum hookeri var. haidongense +Pleurospermum hookeri var. hookeri +Pleurospermum hookeri var. thomsonii +Pleurospermum linearilobum +Pleurospermum longicarpum +Pleurospermum macrochlaenum +Pleurospermum nanum +Pleurospermum nubigenum +Pleurospermum pilosum +Pleurospermum pulszkyi +Pleurospermum rivulorum +Pleurospermum souliaei +Pleurospermum szechenyii +Pleurospermum tsekuense +Pleurospermum wilsonii +Pleurospermum wrightianum +Pleurospermum yunnanense +Pternopetalum botrychioides +Pternopetalum caespitosum +Pternopetalum cardiocarpum +Pternopetalum davidii +Pternopetalum delavayi +Pternopetalum delicatulum +Pternopetalum filicinum +Pternopetalum gracillimum +Pternopetalum heterophyllum +Pternopetalum longicaule var. humile +Pternopetalum longicaule var. longicaule +Pternopetalum molle var. molle +Pternopetalum sinense +Pternopetalum subalpinum +Pternopetalum trifoliatum +Pternopetalum vulgare var. vulgare +Pternopetalum wangianum +Pternopetalum wolffianum +Sanicula astrantiifolia +Sanicula chinensis +Sanicula elata +Sanicula giraldii +Sanicula hacquetioides +Sanicula lamelligera +Sanicula orthacantha var. brevispina +Sanicula orthacantha var. orthacantha +Sanicula rugulosa +Sanicula serrata +Sanicula tienmuensis var. pauciflora +Selinum wallichianum +Seseli delavayi +Seseli mairei +Seseli purpureovaginatum +Seseli squarrulosum +Seseli yunnanense +Sinocarum coloratum +Sinocarum cruciatum var. cruciatum +Sinocarum cruciatum var. linearilobum +Sinocarum dolichopodum +Sinocarum filicinum +Sinocarum pauciradiatum +Sinocarum pityophilum +Sinocarum vaginatum +Sinolimprichtia alpina var. alpina +Sinolimprichtia alpina var. dissecta +Sium frigidum +Sphallerocarpus gracilis +Tongoloa dunnii +Tongoloa elata +Tongoloa gracilis +Tongoloa loloensis +Tongoloa rockii +Tongoloa silaifolia +Tongoloa taeniophylla +Tongoloa tenuifolia +Torilis japonica +Trachydium involucellatum +Trachydium roylei +Trachydium simplicifolium +Trachydium subnudum +Trachyspermum scaberulum var. ambrosiifolium +Trachyspermum scaberulum var. scaberulum +Trachyspermum triradiatum +Vicatia bipinnata +Vicatia coniifolia +Vicatia thibetica diff --git a/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/fetcher.py b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/fetcher.py new file mode 100644 index 0000000..2dc50b0 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/fetcher.py @@ -0,0 +1,345 @@ +from pprint import pprint +import os +import requests +import pandas as pd +import random +from multiprocessing import Pool +import time +from multiprocessing import Queue, Process, Pool, Manager +import multiprocessing +from multiprocessing import Process +from multiprocessing import Array + +from playwright.sync_api import sync_playwright + +# https://www.cvh.ac.cn/spms/list.php?&stateProvince[]=%E4%BA%91%E5%8D%97%E7%9C%81!&taxonName=Clematis%20yunnanensis&offset=30 + + +user_agent = [ + # Opera + "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36 OPR/26.0.1656.60", + "Opera/8.0 (Windows NT 5.1; U; en)", + "Mozilla/5.0 (Windows NT 5.1; U; en; rv:1.8.1) Gecko/20061208 Firefox/2.0.0 Opera 9.50", + "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 9.50", + + # Firefox + "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:34.0) Gecko/20100101 Firefox/34.0", + "Mozilla/5.0 (X11; U; Linux x86_64; zh-CN; rv:1.9.2.10) Gecko/20100922 Ubuntu/10.10 (maverick) Firefox/3.6.10", + + # Safari + "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/534.57.2 (KHTML, like Gecko) Version/5.1.7 Safari/534.57.2", + + # chrome + "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.71 Safari/537.36", + "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11", + "Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.133 Safari/534.16", + + # 360 + "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36", + "Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko", + + # 淘宝浏览器 + "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.11 TaoBrowser/2.0 Safari/536.11", + + # 猎豹浏览器 + "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.71 Safari/537.1 LBBROWSER", + "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; LBBROWSER)", + "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E; LBBROWSER)", + + # QQ浏览器 + "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; QQBrowser/7.0.3698.400)", + "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E) ", + + # sogou浏览器 + "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.84 Safari/535.11 SE 2.X MetaSr 1.0", + "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SV1; QQDownload 732; .NET4.0C; .NET4.0E; SE 2.X MetaSr 1.0)", + + # maxthon浏览器 + "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Maxthon/4.4.3.4000 Chrome/30.0.1599.101 Safari/537.36", + + # UC浏览器 + "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 UBrowser/4.0.3214.0 Safari/537.36", + "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.100 Safari/537.36", + "Mozilla/5.0 (iPhone; CPU iPhone OS 13_3_1 like Mac OS X; zh-CN) AppleWebKit/537.51.1 (KHTML, like Gecko) Mobile/17D50 UCBrowser/12.8.2.1268 Mobile AliApp(TUnionSDK/0.1.20.3)", + "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.116 Safari/537.36", + "Mozilla/5.0 (Linux; Android 8.1.0; OPPO R11t Build/OPM1.171019.011; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/76.0.3809.89 Mobile Safari/537.36 T7/11.19 SP-engine/2.15.0 baiduboxapp/11.19.5.10 (Baidu; P1 8.1.0)", + "Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.108 Safari/537.36", + "Mozilla/5.0 (iPhone; CPU iPhone OS 13_3_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148 SP-engine/2.14.0 main%2F1.0 baiduboxapp/11.18.0.16 (Baidu; P2 13.3.1) NABar/0.0 ", + "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36 Edge/17.17134", + "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36", + "Mozilla/5.0 (iPhone; CPU iPhone OS 12_4_4 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148 MicroMessenger/7.0.10(0x17000a21) NetType/4G Language/zh_CN", + "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36", + "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.108 Safari/537.36", + "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36", + "Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.108 Safari/537.36", + "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36", + "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.106 Safari/537.36" + +] +# referer="https://www.cvh.ac.cn/spms/list.php?taxonName=Primula+annulata&family=&genus=&country=&county=&locality=&minimumElevation=&maximumElevation=&recordedBy=&recordNumber=&year=&collectionCode=&identifiedBy=&dateIdentified=" +headers = { + "Referer": "", + "User-Agent": random.choice(user_agent), +} + + +# 代理 +def proxie(): + # 账密模式 + # proxyUrl = "http://%(user)s:%(password)s@%(server)s" % { + # "user": "9BC96199", # Authkey + # "password": "73BA23D0E4D5", # Authpwd + # "server": "tun-vdpzuj.qg.net:13542", + # } + proxy_url = "103.83.97.11:8090" + proxies = { + "http": proxy_url, + "https": proxy_url, + } + + url2 = 'http://httpbin.org/get' + r = requests.get(url=url2) + origin = r.json()['origin'] + print('本次测试起源代理为: ' + str(origin)) + return proxies + + +# 1: 读取关键字 +def read_keywords(file_name): + with open(file_name, 'r', encoding='utf-8') as file: + plant_names = file.readlines() + + plant_names = [name.strip() for name in plant_names] # 去除每行末尾的换行符和空格 + return plant_names + + +## 2: 获取关键字查询结果 +def query_keywords(keywords): + print(f"搜索关键词:{keywords}-------") + url = f'https://www.cvh.ac.cn/controller/spms/list.php?&taxonName={keywords}' + headers['Referer'] = url + try: + response = requests.get(url=url, headers=headers, timeout=10) + return {keywords: response.json()} + except Exception as e: + print('错误') + with open('植物名称_错误.txt', 'a', encoding='utf-8') as f: + f.write(keywords + '\n') + f.close() + raise e + + +## 获取详细信息 +def create_detail(name, collection): + url_data = f'https://www.cvh.ac.cn/controller/spms/detail.php?id={collection['collectionID']}' + url_png = f'https://image.cvh.ac.cn/files/l/{collection['institutionCode']}/{collection['collectionCode']}.jpg' + print('url_data: ' + url_data) + headers['Referer'] = url_data + try: + response_data = requests.get(url_data, headers=headers, timeout=10) # 超时设置为10秒 + # print(response_data.text) + data_json = response_data.json()['rows'] + print(data_json) + plant_info = { + '中文名': data_json['chineseName'], + '拉丁名': name, + '采集人': data_json['recordedBy'], + '采集号': data_json['recordNumber'], + '采集时间': data_json['verbatimEventDate'], + '采集地': data_json['stateProvince'], + '海拔': data_json['elevation'], + '生境': data_json['habitat'], + '习性': data_json['occurrenceRemarks'], + '物候期': data_json['reproductiveCondition'], + '图片链接': url_png, + '本地图片链接': '' + } + print(plant_info) + + df = pd.DataFrame([plant_info]) # 将数据转为 DataFrame + file_path = 'last-one.csv' # 指定 CSV 文件路径 + file_exists = os.path.isfile(file_path) # 检查文件是否存在 + df.to_csv(file_path, mode='a+', header=not file_exists, index=False, + encoding='utf-8') # 写入数据到 CSV 文件,第一次写入时加表头,追加时不加表头 + except Exception as e: + print(e) + ## 'Gentiana crassuloides' + + +def main(): + plant_names = read_keywords("name_ignore_stats.csv") + # alreay_used = read_keywords('already.csv') + for plant_name in plant_names[::-1]: + try: + keywords_collections = query_keywords(plant_name) + collections = keywords_collections[plant_name]["rows"] + stateProvince = "" + counts = 1 + for current_collection in collections: + if current_collection['stateProvince'] != stateProvince and counts <= 3: + create_detail(plant_name, current_collection) + # time.sleep(0.3) + counts += 1 + stateProvince = current_collection['stateProvince'] + except Exception as e: + print(e) + continue + + print('over') + + +def get_image(): + """ + curl 'https://img7.iplant.cn/image2/236/86F1AE4AF5F5AA36.jpg' \ + -H 'Accept: image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8' \ + -H 'Accept-Language: zh-CN,zh;q=0.9' \ + -H 'Cache-Control: no-cache' \ + -H 'Connection: keep-alive' \ + -H 'Pragma: no-cache' \ + -H 'Referer: https://ppbc.iplant.cn/' \ + -H 'Sec-Fetch-Dest: image' \ + -H 'Sec-Fetch-Mode: no-cors' \ + -H 'Sec-Fetch-Site: same-site' \ + -H 'User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36' \ + -H 'sec-ch-ua: "Chromium";v="130", "Google Chrome";v="130", "Not?A_Brand";v="99"' \ + -H 'sec-ch-ua-mobile: ?0' \ + -H 'sec-ch-ua-platform: "macOS"' --output 3.jpg + + :return: + """ + url = 'https://img7.iplant.cn/image2/236/86F1AE4AF5F5AA36.jpg' + + headers = { + 'Accept': 'image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8', + 'Accept-Language': 'zh-CN,zh;q=0.9', + 'Cache-Control': 'no-cache', + 'Connection': 'keep-alive', + 'Pragma': 'no-cache', + 'Referer': 'https://ppbc.iplant.cn/', + 'Sec-Fetch-Dest': 'image', + 'Sec-Fetch-Mode': 'no-cors', + 'Sec-Fetch-Site': 'same-site', + 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36', + 'sec-ch-ua': '"Chromium";v="130", "Google Chrome";v="130", "Not?A_Brand";v="99"', + 'sec-ch-ua-mobile': '?0', + 'sec-ch-ua-platform': '"macOS"' + } + + # 发送GET请求并获取图片内容 + response = requests.get(url, headers=headers) + + # 将图片内容保存到文件 + if response.status_code == 200: + with open('3.jpg', 'wb') as f: + f.write(response.content) + print('图片下载成功') + else: + print(f'下载失败,状态码: {response.status_code}') + + +import subprocess + +# 构建curl命令 +curl_command = '''curl 'https://img7.iplant.cn/image2/236/86F1AE4AF5F5AA36.jpg' \ + -H 'Accept: image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8' \ + -H 'Accept-Language: zh-CN,zh;q=0.9' \ + -H 'Cache-Control: no-cache' \ + -H 'Connection: keep-alive' \ + -H 'Pragma: no-cache' \ + -H 'Referer: https://ppbc.iplant.cn/' \ + -H 'Sec-Fetch-Dest: image' \ + -H 'Sec-Fetch-Mode: no-cors' \ + -H 'Sec-Fetch-Site: same-site' \ + -H 'User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36' \ + -H 'sec-ch-ua: "Chromium";v="130", "Google Chrome";v="130", "Not?A_Brand";v="99"' \ + -H 'sec-ch-ua-mobile: ?0' \ + -H 'sec-ch-ua-platform: "macOS"' --output 3.jpg''' + +# 方法1:使用shell=True(简单但不太安全) +try: + subprocess.run(curl_command, shell=True, check=True) + print("下载成功") +except subprocess.CalledProcessError as e: + print(f"下载失败: {e}") + + +# 方法2:更安全的方式,将命令拆分为列表(推荐) +def download_with_curl(): + curl_args = [ + 'curl', + 'https://img7.iplant.cn/image2/236/86F1AE4AF5F5AA36.jpg', + '-H', 'Accept: image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8', + '-H', 'Accept-Language: zh-CN,zh;q=0.9', + '-H', 'Cache-Control: no-cache', + '-H', 'Connection: keep-alive', + '-H', 'Pragma: no-cache', + '-H', 'Referer: https://ppbc.iplant.cn/', + '-H', 'Sec-Fetch-Dest: image', + '-H', 'Sec-Fetch-Mode: no-cors', + '-H', 'Sec-Fetch-Site: same-site', + '-H', + 'User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36', + '-H', 'sec-ch-ua: "Chromium";v="130", "Google Chrome";v="130", "Not?A_Brand";v="99"', + '-H', 'sec-ch-ua-mobile: ?0', + '-H', 'sec-ch-ua-platform: "macOS"', + '--output', '4.jpg' + ] + + try: + result = subprocess.run(curl_args, capture_output=True, text=True, check=True) + print("下载成功") + return result + except subprocess.CalledProcessError as e: + print(f"下载失败: {e}") + return None + + +def get_create_time(): + with sync_playwright() as p: + # 方法4: 选择不同的浏览器类型 + # 使用Chrome + browser_chrome = p.chromium.launch(channel='chrome', headless=True) + + # 使用Firefox + browser_firefox = p.firefox.launch(headless=False) + + # 使用Safari (仅在macOS上可用) + browser_safari = p.webkit.launch(headless=False) + + # 分别在不同浏览器中执行操作 + for browser in [browser_chrome, browser_firefox, browser_safari]: + page = browser.new_page() + page.goto("") + + # 执行脚本并等待结果 + result = page.evaluate("""() => { + return { + title: document.title, + url: window.location.href, + userAgent: navigator.userAgent + } + }""") + + print(f"浏览器信息: {result}") + browser.close() + + +# 调用方法2 + +if __name__ == '__main__': + # get_image() + # download_with_curl() + # main() + plant_names = read_keywords("name_ignore_stats.csv") + with open("遗漏.csv","r") as f: + lines = f.readlines() + existings_names = [line.split(",")[1] for line in lines] + print(existings_names) + result = [] + for plant_name in plant_names: + if plant_name not in existings_names: + result.append(plant_name) + print(result) + with open('没有标本.csv','w') as f: + for item in result: + f.write(item+"\n") diff --git a/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/fetcher_bnk.py b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/fetcher_bnk.py new file mode 100644 index 0000000..7da547a --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/fetcher_bnk.py @@ -0,0 +1,248 @@ +# from pprint import pprint +# import os +# import requests +# import pandas as pd +# import random +# from multiprocessing import Pool +# import time +# from multiprocessing import Queue, Process, Pool, Manager +# import multiprocessing +# from multiprocessing import Process +# from multiprocessing import Array +# +# # https://www.cvh.ac.cn/spms/list.php?&stateProvince[]=%E4%BA%91%E5%8D%97%E7%9C%81!&taxonName=Clematis%20yunnanensis&offset=30 +# +# +# user_agent = [ +# # Opera +# "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36 OPR/26.0.1656.60", +# "Opera/8.0 (Windows NT 5.1; U; en)", +# "Mozilla/5.0 (Windows NT 5.1; U; en; rv:1.8.1) Gecko/20061208 Firefox/2.0.0 Opera 9.50", +# "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 9.50", +# +# # Firefox +# "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:34.0) Gecko/20100101 Firefox/34.0", +# "Mozilla/5.0 (X11; U; Linux x86_64; zh-CN; rv:1.9.2.10) Gecko/20100922 Ubuntu/10.10 (maverick) Firefox/3.6.10", +# +# # Safari +# "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/534.57.2 (KHTML, like Gecko) Version/5.1.7 Safari/534.57.2", +# +# # chrome +# "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.71 Safari/537.36", +# "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11", +# "Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.133 Safari/534.16", +# +# # 360 +# "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36", +# "Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko", +# +# # 淘宝浏览器 +# "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.11 TaoBrowser/2.0 Safari/536.11", +# +# # 猎豹浏览器 +# "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.71 Safari/537.1 LBBROWSER", +# "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; LBBROWSER)", +# "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E; LBBROWSER)", +# +# # QQ浏览器 +# "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; QQBrowser/7.0.3698.400)", +# "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E) ", +# +# # sogou浏览器 +# "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.84 Safari/535.11 SE 2.X MetaSr 1.0", +# "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SV1; QQDownload 732; .NET4.0C; .NET4.0E; SE 2.X MetaSr 1.0)", +# +# # maxthon浏览器 +# "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Maxthon/4.4.3.4000 Chrome/30.0.1599.101 Safari/537.36", +# +# # UC浏览器 +# "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 UBrowser/4.0.3214.0 Safari/537.36", +# "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.100 Safari/537.36", +# "Mozilla/5.0 (iPhone; CPU iPhone OS 13_3_1 like Mac OS X; zh-CN) AppleWebKit/537.51.1 (KHTML, like Gecko) Mobile/17D50 UCBrowser/12.8.2.1268 Mobile AliApp(TUnionSDK/0.1.20.3)", +# "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.116 Safari/537.36", +# "Mozilla/5.0 (Linux; Android 8.1.0; OPPO R11t Build/OPM1.171019.011; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/76.0.3809.89 Mobile Safari/537.36 T7/11.19 SP-engine/2.15.0 baiduboxapp/11.19.5.10 (Baidu; P1 8.1.0)", +# "Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.108 Safari/537.36", +# "Mozilla/5.0 (iPhone; CPU iPhone OS 13_3_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148 SP-engine/2.14.0 main%2F1.0 baiduboxapp/11.18.0.16 (Baidu; P2 13.3.1) NABar/0.0 ", +# "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36 Edge/17.17134", +# "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36", +# "Mozilla/5.0 (iPhone; CPU iPhone OS 12_4_4 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148 MicroMessenger/7.0.10(0x17000a21) NetType/4G Language/zh_CN", +# "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36", +# "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.108 Safari/537.36", +# "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36", +# "Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.108 Safari/537.36", +# "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36", +# "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.106 Safari/537.36" +# +# ] +# # referer="https://www.cvh.ac.cn/spms/list.php?taxonName=Primula+annulata&family=&genus=&country=&county=&locality=&minimumElevation=&maximumElevation=&recordedBy=&recordNumber=&year=&collectionCode=&identifiedBy=&dateIdentified=" +# headers = { +# "Referer": "", +# "User-Agent": random.choice(user_agent), +# } +# +# +# # 代理 +# def proxie(): +# # 账密模式 +# # proxyUrl = "http://%(user)s:%(password)s@%(server)s" % { +# # "user": "9BC96199", # Authkey +# # "password": "73BA23D0E4D5", # Authpwd +# # "server": "tun-vdpzuj.qg.net:13542", +# # } +# proxy_url = "103.83.97.11:8090" +# proxies = { +# "http": proxy_url, +# "https": proxy_url, +# } +# +# url2 = 'http://httpbin.org/get' +# r = requests.get(url=url2, proxies=proxies) +# origin = r.json()['origin'] +# print('本次测试起源代理为: ' + str(origin)) +# return proxies +# +# +# # 1: 读取关键字 +# def read_keywords(file_name): +# with open(file_name, 'r', encoding='utf-8') as file: +# plant_names = file.readlines() +# +# plant_names = [name.strip() for name in plant_names] # 去除每行末尾的换行符和空格 +# return plant_names +# +# +# ## 2: 获取关键字查询结果 +# def query_keywords(keywords): +# print(f"搜索关键词:{keywords}-------") +# url = f'https://www.cvh.ac.cn/controller/spms/list.php?&taxonName={keywords}' +# headers['Referer'] = url +# try: +# response = requests.get(url=url, headers=headers, timeout=10, proxies=proxie()) +# return {keywords: response.json()} +# except Exception as e: +# print(e) +# return {} +# +# +# # 1.循环传入关键词和页数 获取每个详情页 +# def first_request(name, indx): +# print(f"搜索关键词:{name}-------页数:{indx}") +# url = f'https://www.cvh.ac.cn/controller/spms/list.php?&taxonName={name}&offset={indx}' +# +# # response = requests.get(url=url,cookies=cookies,headers=headers,proxies=proxie()) +# headers['Referer'] = url +# try: +# # response = requests.get(url=url, headers=headers, timeout=10, proxies=proxie()) # 超时设置为10秒 ,cookies=cookies +# response = requests.get(url=url, headers=headers, timeout=10) # 超时设置为10秒 ,cookies=cookies +# except: +# for i in range(4): # 循环去请求网站 +# response = requests.get(url=url, headers=headers, timeout=10, proxies=proxie()) +# if response.status_code == 200: +# break +# +# try: +# print(response.json()) +# rows = response.json()['rows'] +# multi(rows, name) +# print('\n') +# except: +# print('错误') +# with open('植物名称 错误.txt', 'a', encoding='utf-8') as f: +# f.write(name + '\n') +# f.close() +# +# plant_info = { +# '中文名': '', +# '拉丁名': name, +# '采集人': '', +# '采集号': '', +# '采集时间': '', +# '采集地': '', +# '海拔': '', +# '生境': '', +# '习性': '', +# '物候期': '', +# '图片链接': '', +# '本地图片链接': '' +# } +# df = pd.DataFrame([plant_info]) # 将数据转为 DataFrame植物标本信息 +# file_path = '10月16日倒序.csv' # 指定 CSV 文件路径 +# file_exists = os.path.isfile(file_path) # 检查文件是否存在 +# df.to_csv(file_path, mode='a', header=not file_exists, index=False, +# encoding='utf-8') # 写入数据到 CSV 文件,第一次写入时加表头,追加时不加表头 +# +# if response.json()['total'] > indx + 30: +# first_request(name, indx + 30) +# +# +# # 3.请求详情页 +# def par_reqtest(i, name): +# url_data = f'https://www.cvh.ac.cn/controller/spms/detail.php?id={i['collectionID']}' +# url_png = f'https://image.cvh.ac.cn/files/l/{i['institutionCode']}/{i['collectionCode']}.jpg' +# print('url_data: ' + url_data) +# # response_data = requests.get(url_data,cookies=cookies,headers=headers,proxies=proxie()) +# +# headers['Referer'] = url_data +# try: +# # response_data = requests.get(url_data, headers=headers, timeout=10, proxies=proxie()) # 超时设置为10秒 +# response_data = requests.get(url_data, headers=headers, timeout=10) # 超时设置为10秒 +# except: +# for i in range(4): # 循环去请求网站 +# # response_data = requests.get(url_data, headers=headers, timeout=10, proxies=proxie()) +# response_data = requests.get(url_data, headers=headers, timeout=10) +# if response_data.status_code == 200: +# break +# +# # print(response_data.text) +# data_json = response_data.json()['rows'] +# print(data_json) +# plant_info = { +# '中文名': data_json['chineseName'], +# '拉丁名': name, +# '采集人': data_json['recordedBy'], +# '采集号': data_json['recordNumber'], +# '采集时间': data_json['verbatimEventDate'], +# '采集地': data_json['stateProvince'], +# '海拔': data_json['elevation'], +# '生境': data_json['habitat'], +# '习性': data_json['occurrenceRemarks'], +# '物候期': data_json['reproductiveCondition'], +# '图片链接': url_png, +# '本地图片链接': '' +# } +# print(plant_info) +# +# df = pd.DataFrame([plant_info]) # 将数据转为 DataFrame +# file_path = '10月16日倒序.csv' # 指定 CSV 文件路径 +# file_exists = os.path.isfile(file_path) # 检查文件是否存在 +# df.to_csv(file_path, mode='a+', header=not file_exists, index=False, +# encoding='utf-8') # 写入数据到 CSV 文件,第一次写入时加表头,追加时不加表头 +# +# +# # 2.多进程请求详情页 +# def multi(rows, name): +# pool = Pool(7) # 创建了xx个进程 请求详情页 +# for i in rows: +# # print(i) +# pool.apply_async(par_reqtest, args=(i, name,)) # 把任务添加到进程池 +# pool.close() # 关闭进程池 +# pool.join() # 进程池等待 +# +# +# def main(): +# with open('未爬.csv', 'r', encoding='utf-8') as file: +# plant_names = file.readlines() +# +# plant_names = [name.strip() for name in plant_names] # 去除每行末尾的换行符 +# +# # 倒序爬取 +# for name in plant_names[::-1]: +# print(name) +# first_request(name, indx=0) # 爬取第0页 +# print('\n\n\n') +# +# print('over') +# +# +# if __name__ == '__main__': +# main() diff --git a/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/gbif.py b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/gbif.py new file mode 100644 index 0000000..66fc943 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/gbif.py @@ -0,0 +1,101 @@ +import requests +from typing import Dict, Optional +from urllib.parse import quote + + +def fetch_gbif_occurrences(species_name: str) -> Dict: + """ + 从GBIF获取物种分布数据 + + Parameters: + species_name: 物种名称 + """ + try: + # 构建URL + base_url = 'https://www.gbif.org/api/occurrence/search' + + # 查询参数 + params = { + 'advanced': 'false', + 'country': 'CN', + 'dwca_extension.facetLimit': '1000', + 'facet': [ + 'establishment_means', + 'basis_of_record', + 'iucn_red_list_category', + 'month', + 'type_status', + 'issue', + 'dwca_extension', + 'dataset_key', + 'institution_code', + 'country', + 'continent', + 'media_type', + 'license', + 'protocol', + 'lifeStage', + 'establishmentMeans', + 'pathway', + 'degreeOfEstablishment', + 'publishing_org', + 'gbif_region', + 'published_by_gbif_region', + 'sex' + ], + 'has_coordinate': 'true', + 'has_geospatial_issue': 'false', + 'issue.facetLimit': '1000', + 'locale': 'en', + 'month.facetLimit': '12', + 'occurrence_status': 'present', + 'q': species_name, + 'type_status.facetLimit': '1000' + } + + # 请求头 + headers = { + 'accept': 'application/json, text/plain, */*', + 'accept-language': 'zh-CN,zh;q=0.9', + 'cache-control': 'no-cache', + 'pragma': 'no-cache', + 'priority': 'u=1, i', + 'referer': f'https://www.gbif.org/occurrence/search?q={quote(species_name)}&country=CN&has_coordinate=true&has_geospatial_issue=false&occurrence_status=present', + 'sec-ch-ua': '"Chromium";v="130", "Google Chrome";v="130", "Not?A_Brand";v="99"', + 'sec-ch-ua-mobile': '?0', + 'sec-ch-ua-platform': '"macOS"', + 'sec-fetch-dest': 'empty', + 'sec-fetch-mode': 'cors', + 'sec-fetch-site': 'same-origin', + 'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36' + } + + # 发送请求 + response = requests.get( + base_url, + params=params, + headers=headers + ) + + # 检查响应状态 + response.raise_for_status() + one = response.json()['results'][0] + # 返回JSON数据 + return one["decimalLatitude"], one["decimalLongitude"] + + except Exception as e: + print(f"解析JSON出错: {e}") + return 0, 0 + + +# 使用示例 +if __name__ == "__main__": + # 获取物种分布数据 + with open('all_names.csv', 'r') as f: + lines = f.readlines() + for line in lines: + name = line.replace("\n","").strip() + la, lo = fetch_gbif_occurrences(line.replace("\n","").strip()) + print(",".join([name, str(la), str(lo)])) + with open("la_lo.csv", 'a') as f: + f.write(",".join([name, str(la), str(lo)]) + "\n") diff --git a/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/models.py b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/models.py new file mode 100644 index 0000000..dd306a1 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/models.py @@ -0,0 +1,20 @@ +from pydantic import BaseModel, Field +from typing import Optional + + +class PlantData(BaseModel): + chinese_name: Optional[str] = Field(default=None, alias="中文名") + latin_name: Optional[str] = Field(default=None, alias="拉丁名") + collector: Optional[str] = Field(default=None, alias="采集人") + collection_number: Optional[str] = Field(default=None, alias="采集号") + collection_date: Optional[str] = Field(default=None, alias="采集时间") + collection_location: Optional[str] = Field(default=None, alias="采集地") + elevation: Optional[str] = Field(default=None, alias="海拔") + habitat: Optional[str] = Field(default=None, alias="生境") + occurrence_remarks: Optional[str] = Field(default=None, alias="习性") + reproductive_condition: Optional[str] = Field(default=None, alias="物候期") + image_url: Optional[str] = Field(default=None, alias="图片链接") + local_image_path: Optional[str] = Field(default=None, alias="本地图片链接") + + class Config: + populate_by_name = True diff --git a/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/plants_handlers.py b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/plants_handlers.py new file mode 100644 index 0000000..a077b4d --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/plants_handlers.py @@ -0,0 +1,323 @@ +import re +from typing import List + +from pandas import DataFrame + +from datafarm.plants.models import PlantData +import pandas as pd + + +def read_excel_to_df(excel_path: str, file_type="csv") -> DataFrame | None: + """ + 读取Excel文件并转换为PlantData模型列表 + """ + try: + # 获取字段别名映射 + # field_aliases = { + # field.alias: field_name # 反转映射:中文 -> 英文字段名 + # for field_name, field in PlantData.model_fields.items() + # if field.alias + # } + + # 读取Excel文件 + if file_type == "xlsx": + df = pd.read_excel(excel_path) + elif file_type == "csv": + df = pd.read_csv(excel_path, encoding="utf-8") + + # 重命名列(从中文到英文字段名) + # df = df.rename(columns=field_aliases) + return df + except Exception as e: + print(f"读取Excel文件时出错: {e}") + return None + + +def read_excel_to_models(excel_path: str, file_type="csv") -> List[PlantData]: + """ + 读取Excel文件并转换为PlantData模型列表 + """ + try: + # 获取字段别名映射 + field_aliases = { + field.alias: field_name # 反转映射:中文 -> 英文字段名 + for field_name, field in PlantData.model_fields.items() + if field.alias + } + + # 读取Excel文件 + if file_type == "xlsx": + df = pd.read_excel(excel_path) + elif file_type == "csv": + df = pd.read_csv(excel_path, encoding="utf-8") + + # 重命名列(从中文到英文字段名) + df = df.rename(columns=field_aliases) + + # 转换为模型列表 + models = [] + for index, row in df.iterrows(): + try: + # 处理NaN值 + row_dict = row.where(pd.notna(row), None).to_dict() + model = PlantData(**row_dict) + models.append(model) + except Exception as e: + print(f"第 {index + 2} 行数据验证失败: {e}") # Excel行号从1开始,还有标题行 + continue + + return models + + except Exception as e: + print(f"读取Excel文件时出错: {e}") + return [] + + +# 更多实用功能示例 +def process_plant_data(models: List[PlantData]): + """处理植物数据的辅助函数""" + + # 1. 按采集地统计 + location_stats = {} + for plant in models: + location_stats[plant.collection_location] = location_stats.get(plant.collection_location, 0) + 1 + + # 2. 检查数据完整性 + incomplete_records = [] + for plant in models: + missing_fields = [] + for field_name, field in PlantData.model_fields.items(): + if not field.is_required: + continue + if not getattr(plant, field_name): + missing_fields.append(field.alias) + if missing_fields: + incomplete_records.append({ + "chinese_name": plant.chinese_name, + "missing_fields": missing_fields + }) + + # 3. 导出统计结果 + stats = { + "total_records": len(models), + "location_stats": location_stats, + "incomplete_records": incomplete_records, + "unique_collectors": len(set(plant.collector for plant in models)) + } + + return stats + + +# 数据验证和清理示例 +def validate_and_clean_data(models: List[PlantData]) -> List[PlantData]: + """验证和清理数据""" + cleaned_models = [] + for model in models: + # 1. 清理空白字符 + model.chinese_name = model.chinese_name.strip() + model.latin_name = model.latin_name.strip() + + # 2. 标准化日期格式(如果需要) + if model.collection_date: + try: + # 可以添加日期格式转换逻辑 + pass + except: + print(f"日期格式错误: {model.collection_date}") + + # 3. 验证海拔格式 + if model.elevation: + if not model.elevation.endswith('m'): + model.elevation = f"{model.elevation}m" + + cleaned_models.append(model) + + return cleaned_models + + +def create_dataframe_from_json(data_list: list) -> pd.DataFrame: + # 获取字段别名映射 + field_aliases = { + field_name: field.alias + for field_name, field in PlantData.model_fields.items() + if field.alias + } + + # 创建DataFrame + df = pd.DataFrame(data_list) + + # 重命名列名(从中文别名到英文字段名) + df = df.rename(columns={v: k for k, v in field_aliases.items()}) + + return df + + +def write_to_excel(df: pd.DataFrame, output_path: str): + # 获取字段别名映射 + field_aliases = { + field_name: field.alias + for field_name, field in PlantData.model_fields.items() + if field.alias + } + + # 重命名列名(从英文字段名到中文别名) + df_output = df.rename(columns=field_aliases) + + # 写入Excel + df_output.to_excel(output_path, index=False) + + +def write_models_to_excel(models: List[PlantData], excel_path: str): + """ + 将模型列表写入Excel,使用别名作为表头 + """ + try: + # 将模型列表转换为字典列表,使用别名作为键 + rows = [] + for model in models: + row = { + field.alias: getattr(model, field_name) + for field_name, field in model.__class__.model_fields.items() + if field.alias + } + rows.append(row) + + # 创建DataFrame + df = pd.DataFrame(rows) + + # 写入Excel + df.to_excel(excel_path, index=False) + print(f"成功写入 {len(models)} 条记录到 {excel_path}") + + except Exception as e: + print(f"写入Excel文件时出错: {e}") + + +# def select_three_locations_per_latin(df: pd.DataFrame, +# latin_col: str = '拉丁名', +# location_col: str = '采集地') -> pd.DataFrame: +# """ +# 为每个拉丁名选择3个不同的采集地记录 +# +# Parameters: +# df: 输入DataFrame +# latin_col: 拉丁名列名 +# location_col: 采集地列名 +# """ +# try: +# # 1. 对拉丁名和采集地进行分组,获取第一条记录 +# df_grouped = df.groupby([latin_col, location_col]).first().reset_index() +# +# # 2. 为每个拉丁名选择3个不同的采集地 +# result_df = df_grouped.groupby(latin_col).head(3) +# +# print(f"原始记录数: {len(df)}") +# print(f"处理后记录数: {len(result_df)}") +# print(f"拉丁名数量: {len(result_df[latin_col].unique())}") +# +# return result_df +# +# except Exception as e: +# print(f"处理数据时出错: {e}") +# return pd.DataFrame() + + +def select_three_locations_per_latin(df: pd.DataFrame, + latin_col: str = '拉丁名', + location_col: str = '采集地') -> pd.DataFrame: + """ + 为每个拉丁名选择3个不同的采集地记录 + + Parameters: + df: 输入DataFrame + latin_col: 拉丁名列名 + location_col: 采集地列名 + """ + try: + # 1. 获取每个拉丁名的不同采集地 + df_unique_locations = df.drop_duplicates([latin_col, location_col]) + + # 2. 为每个拉丁名选择最多3个不同的采集地 + result_dfs = [] + for latin_name, group in df_unique_locations.groupby(latin_col): + # 如果有超过3个不同采集地,随机选择3个 + if len(group) > 3: + selected_records = group.sample(n=3) + else: + selected_records = group + result_dfs.append(selected_records) + + # 3. 合并结果 + result_df = pd.concat(result_dfs, ignore_index=True) + + print(f"原始记录数: {len(df)}") + print(f"处理后记录数: {len(result_df)}") + print(f"拉丁名数量: {len(result_df[latin_col].unique())}") + + # 4. 验证结果 + location_counts = result_df.groupby(latin_col)[location_col].nunique() + print("\n采集地数量统计:") + print(f"最大值: {location_counts.max()}") + print(f"最小值: {location_counts.min()}") + print(f"平均值: {location_counts.mean():.2f}") + + return result_df + + except Exception as e: + print(f"处理数据时出错: {e}") + return pd.DataFrame() + + +def clean_illegal_chars(text): + """清理非法字符""" + if not isinstance(text, str): + return text + + # 移除或替换非法字符 + # ILLEGAL_CHARACTERS_RE = r'[\000-\010]|[\013-\014]|[\016-\037]' + ILLEGAL_CHARACTERS_RE = r'[\000-\010]|[\013-\014]|[\016-\037]|[\x00-\x1f\x7f-\x9f]' + return re.sub(ILLEGAL_CHARACTERS_RE, '', str(text)) + + +def write_excel_safely(df: pd.DataFrame, output_path: str): + """安全地写入Excel文件""" + try: + # 清理所有列的数据 + df_clean = df.copy() + for column in df_clean.columns: + df_clean[column] = df_clean[column].apply(clean_illegal_chars) + + # 写入Excel + df_clean.to_excel(output_path, index=False, engine='openpyxl') + print(f"成功写入到 {output_path}") + + except Exception as e: + print(f"写入Excel时出错: {e}") + + +# 使用示例 +if __name__ == "__main__": + df = read_excel_to_df("./origin/11-12-植物合并.csv", "csv") + # df = read_excel_to_df("./origin/11-12-植物合并.csv","csv") + + result_df = select_three_locations_per_latin(df) + print(result_df) + write_excel_safely(result_df, "11-12-植物合并-3个.xlsx") + # result_df.to_excel("001 10月20日植物-3个.xlsx") + # r2 = read_excel_to_models("./origin/002 10月20日植物 合并.csv","csv") + # r3 = read_excel_to_models("./origin/003 10月20日植物 合并.csv","csv") + # r4 = read_excel_to_models("./origin/11-12-植物合并.csv","csv") + # result.extend(r2) + # result.extend(r3) + # result.extend(r4) + # current_item_name = "" + # current_index = 1 + # current_location="" + # filtered_result = [] + # for item in result: + # if current_index==1: + # current_item_name = item.latin_name + # current_location =item.collection_location + # filtered_result.append(item) + + # write_models_to_excel(result, "all_before_filter.xlsx") diff --git a/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/plants_pd_handlers.py b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/plants_pd_handlers.py new file mode 100644 index 0000000..762d877 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/plants_pd_handlers.py @@ -0,0 +1,282 @@ +import re + +import pandas as pd +from pandas import DataFrame + + +# +# df = pd.read_excel("your_file.xlsx") +# +# # 方法1:使用 tolist() +# column_list = df['列名'].tolist() +# +# # 方法2:使用 values.tolist() +# column_list = df['列名'].values.tolist() +# +# # 方法3:使用 list() 转换 +# column_list = list(df['列名']) +# +# # 方法4:使用 to_numpy() +# column_list = df['列名'].to_numpy().tolist() +# +# # 处理空值的方法 +# # 方法5:排除 NaN 值 +# column_list = df['列名'].dropna().tolist() +# +# # 方法6:将 NaN 替换为特定值后转换 +# column_list = df['列名'].fillna('').tolist() +# +# # 方法7:使用列表推导式(可以添加条件) +# column_list = [x for x in df['列名'] if pd.notna(x)] + + +def read_excel_to_df(excel_path: str, file_type="csv") -> DataFrame | None: + """ + 读取Excel文件并转换为PlantData模型列表 + """ + try: + # 获取字段别名映射 + # field_aliases = { + # field.alias: field_name # 反转映射:中文 -> 英文字段名 + # for field_name, field in PlantData.model_fields.items() + # if field.alias + # } + + # 读取Excel文件 + if file_type == "xlsx": + df = pd.read_excel(excel_path) + elif file_type == "csv": + df = pd.read_csv(excel_path, encoding="utf-8") + # 重命名列(从中文到英文字段名) + # df = df.rename(columns=field_aliases) + + return df + except Exception as e: + print(f"读取Excel文件时出错: {e}") + return None + + +# 完整的处理函数 +# def get_clean_column_list(df: pd.DataFrame, +# column_name: str, +# drop_na: bool = True, +# drop_duplicates: bool = True, +# strip_spaces: bool = True) -> list: +# """ +# 获取清理后的列数据列表 +# +# Parameters: +# df: DataFrame +# column_name: 列名 +# drop_na: 是否删除空值 +# drop_duplicates: 是否删除重复值 +# strip_spaces: 是否去除空格 +# """ +# try: +# # 获取列数据 +# series = df[column_name].copy() +# +# # 去除空格 +# if strip_spaces: +# series = series.apply(lambda x: x.strip() if isinstance(x, str) else x) +# +# # 删除空值 +# if drop_na: +# series = series.dropna() +# +# # 删除空字符串 +# series = series[series != ''] +# +# # 删除重复值 +# if drop_duplicates: +# series = series.unique() +# +# return series.tolist() +# +# except Exception as e: +# print(f"处理列数据时出错: {e}") +# return [] + + +def get_duplicate_values(df: pd.DataFrame, column_name: str, min_count: int = 2): + """ + 获取列中的重复值 + + Parameters: + df: DataFrame + column_name: 列名 + min_count: 最小重复次数 + """ + try: + # 获取值计数 + value_counts = df[column_name].value_counts() + + # 获取重复的值 + duplicates = value_counts[value_counts >= min_count] + + # 创建结果字典:值 -> 出现次数 + result_dict = duplicates.to_dict() + + print(f"\n重复值统计 (最小重复次数: {min_count}):") + print(f"总值数量: {len(df[column_name])}") + print(f"重复值数量: {len(result_dict)}") + + # 按出现次数排序 + sorted_duplicates = sorted( + result_dict.items(), + key=lambda x: x[1], + reverse=True + ) + + return sorted_duplicates + + except Exception as e: + print(f"获取重复值时出错: {e}") + return [] + + +def compare_duplicate_methods(df: pd.DataFrame, column_name: str): + """ + 比较不同的重复值处理方法 + """ + # 1. series.drop_duplicates() - 保留唯一值 + unique_values = df[column_name].drop_duplicates().tolist() + + # 2. get_duplicate_values() - 获取重复的值 + value_counts = df[column_name].value_counts() + duplicate_values = value_counts[value_counts >= 2].index.tolist() + + print(f"\n比较结果:") + print(f"原始数据总数: {len(df[column_name])}") + print(f"drop_duplicates 结果数量: {len(unique_values)}") # 所有不重复的值 + print(f"get_duplicate_values 结果数量: {len(duplicate_values)}") # 只有重复的值 + + # 显示示例 + print("\n示例比较:") + print("1. drop_duplicates 结果 (所有唯一值):") + print(unique_values[:5]) + + print("\n2. get_duplicate_values 结果 (只有重复值):") + print(duplicate_values[:5]) + + # 显示具体例子 + example_value = duplicate_values[0] if duplicate_values else None + if example_value: + print(f"\n具体例子 '{example_value}':") + print(f"在原始数据中出现 {value_counts[example_value]} 次") + print(f"在 drop_duplicates 结果中出现 1 次") + print(f"在 get_duplicate_values 结果中出现 1 次") + + +def select_three_locations_per_latin(df: pd.DataFrame, + key_counts=None, + latin_col: str = '拉丁名', + location_col: str = '采集地' + ) -> pd.DataFrame: + """ + 为每个拉丁名选择3个不同的采集地记录 + + Parameters: + df: 输入DataFrame + latin_col: 拉丁名列名 + location_col: 采集地列名 + :param key_counts: + """ + try: + # 1. 获取每个拉丁名的不同采集地 + df_unique_locations = df.drop_duplicates([latin_col, location_col]) + + # 2. 为每个拉丁名选择最多3个不同的采集地 + result_dfs = [] + for latin_name, group in df_unique_locations.groupby(latin_col): + # 如果有超过3个不同采集地,随机选择3个 + if len(group) > 3: + selected_records = group.sample(n=3) + else: + selected_records = group + if len(key_counts) > 0: + if latin_name.strip() in key_counts.index: + # 方法1:直接修改值 + key_counts[latin_name] += 1 + else: + continue + result_dfs.append(selected_records) + + # 3. 合并结果 + result_df = pd.concat(result_dfs, ignore_index=True) + + print(f"原始记录数: {len(df)}") + print(f"处理后记录数: {len(result_df)}") + print(f"拉丁名数量: {len(result_df[latin_col].unique())}") + + # 4. 验证结果 + location_counts = result_df.groupby(latin_col)[location_col].nunique() + print("\n采集地数量统计:") + print(f"最大值: {location_counts.max()}") + print(f"最小值: {location_counts.min()}") + print(f"平均值: {location_counts.mean():.2f}") + + return result_df + + except Exception as e: + print(f"处理数据时出错: {e}") + return pd.DataFrame() + + +def clean_illegal_chars(text): + """清理非法字符""" + if not isinstance(text, str): + return text + + # 移除或替换非法字符 + # ILLEGAL_CHARACTERS_RE = r'[\000-\010]|[\013-\014]|[\016-\037]' + ILLEGAL_CHARACTERS_RE = r'[\000-\010]|[\013-\014]|[\016-\037]|[\x00-\x1f\x7f-\x9f]' + return re.sub(ILLEGAL_CHARACTERS_RE, '', str(text)) + + +def write_excel_safely(df: pd.DataFrame, output_path: str,output_type="xlsx"): + """安全地写入Excel文件""" + try: + # 清理所有列的数据 + df_clean = df.copy() + for column in df_clean.columns: + df_clean[column] = df_clean[column].apply(clean_illegal_chars) + + # 写入Excel + if output_type == "xlsx": + df_clean.to_excel(output_path, index=False, engine='openpyxl') + else: + df_clean.to_csv(output_path, index=False) + print(f"成功写入到 {output_path}") + + except Exception as e: + print(f"写入Excel时出错: {e}") + + +if __name__ == '__main__': + category_df = read_excel_to_df("./docs/删除重复.xlsx", "xlsx") + unique_values = category_df["拉丁名"].str.strip().drop_duplicates() + value_counts = unique_values.value_counts() + print(value_counts[value_counts > 1]) + + # current_df = None + for file_name in ["./origin/001 10月20日植物 合并", "./origin/002 10月20日植物 合并", + "./origin/003 10月20日植物 合并", "./origin/11-12-植物合并"]: + df = read_excel_to_df(file_name + ".csv", "csv") + result_df = select_three_locations_per_latin(df, key_counts=value_counts) + # if current_df is not None: + # current_df = pd.merge(current_df, result_df) + # else: + # current_df = result_df + write_excel_safely(result_df, file_name + "-3.csv",output_type="csv") + # write_excel_safely(current_df, "all.xlsx") + + print(value_counts[value_counts > 1]) + print(len(value_counts[value_counts == 1])) + value_df = value_counts.reset_index() + value_df.columns = ["拉丁名", "数量"] + value_df.to_excel("name_stats.xlsx", index=False) + ignored_df = value_counts[value_counts == 1].reset_index() + ignored_df.columns = ["拉丁名", "数量"] + ignored_df.to_excel("name_ignore_stats.xlsx", index=False) + # write_excel_safely(value_counts.to_frame(), "all_written.xlsx") diff --git a/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/proxied_requests.py b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/proxied_requests.py new file mode 100644 index 0000000..20f5a1d --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/proxied_requests.py @@ -0,0 +1,33 @@ +import requests + +request_ip_url = "https://proxylist.geonode.com/api/proxy-list?protocols=https%2Chttp&limit=500&page=1&sort_by=lastChecked&sort_type=desc" + +ip_proxy_context = {'ip': '', 'index': '1', 'port': '', 'url': ''} + + +def get_ip_pools(): + response = requests.get(request_ip_url) + ip_json = response.json() + return ip_json['data'] + + +ip_pools = get_ip_pools() + + +def proxy_request(random_index): + ip_proxy_context = { + 'ip': ip_pools[random_index]['ip'], + 'used_ip': ip_pools, + 'index': 1, + 'port': ip_pools[random_index]['port'], + 'url': ":".join([ip_pools[random_index]['ip'], ip_pools[random_index]['port']]) + } + return { + "http": ip_proxy_context['url'], + "https": ip_proxy_context['url'], + } + + +if __name__ == '__main__': + result = proxy_request(1) + print(result) diff --git a/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/runners.py b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/runners.py new file mode 100644 index 0000000..a69c14d --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/runners.py @@ -0,0 +1,101 @@ +from time import sleep + +from datafarm.cn_plants.website_runner import run + + +def split_file(): + with open('url.txt', "r") as f: + lines = f.readlines() + + with open('10000.csv', 'w') as t: + t.writelines(lines[10000:20000]) + + with open('20000.csv', 'w+') as t: + t.writelines(lines[20000:30000]) + + with open('30000.csv', 'w+') as t: + t.writelines(lines[30000:40000]) + + with open('40000.csv', 'w+') as t: + t.writelines(lines[40000:]) + + +import requests + + +def fetch_species_info(tu_url: str) -> dict: + """ + 获取物种信息 + + Parameters: + pid: 物种ID + """ + if len(tu_url.replace(" ", "")) == 0: + return tu_url, "" + else: + pid = tu_url.replace("https://ppbc.iplant.cn/tu/", "") + try: + # 构建URL + url = f'https://ppbc.iplant.cn/ashx/getotherinfo.ashx' + + # 查询参数 + params = { + 't': 'spgetapp', + 'pid': pid, + # 'l': '0.2416375447999073' + } + + # 请求头 + headers = { + 'Accept': 'application/json, text/javascript, */*; q=0.01', + 'Accept-Language': 'zh-CN,zh;q=0.9', + 'Cache-Control': 'no-cache', + 'Connection': 'keep-alive', + 'Cookie': 'ASP.NET_SessionId=dzafpvybio11okwprndv0ulz; _pk_id.5.772d=9c2a65c648d82be8.1729840203.; ValidateCode=3459; _pk_ses.5.772d=1', + 'Pragma': 'no-cache', + 'Referer': url, + 'Sec-Fetch-Dest': 'empty', + 'Sec-Fetch-Mode': 'cors', + 'Sec-Fetch-Site': 'same-origin', + 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36', + 'X-Requested-With': 'XMLHttpRequest', + 'sec-ch-ua': '"Chromium";v="130", "Google Chrome";v="130", "Not?A_Brand";v="99"', + 'sec-ch-ua-mobile': '?0', + 'sec-ch-ua-platform': '"macOS"' + } + + # 发送请求 + response = requests.get( + url, + params=params, + headers=headers + ) + + # 检查响应状态 + response.raise_for_status() + + # 返回JSON数据 + return tu_url, response.json()[-1]["app_time"] + + except Exception as e: + print(f"请求出错: {e}") + return url_spec, '' + + +# 使用示例 +if __name__ == "__main__": + # 获取物种信息 + # species_info = fetch_species_info("https://ppbc.iplant.cn/tu/13105652") + with open('url.txt', "r") as f: + lines = f.readlines() + for line in lines: + url_spec, app_time = fetch_species_info(line.strip()) + # sleep(1) + print(",".join([url_spec, app_time])) + with open("url_create_time.csv", 'a') as f: + f.write(",".join([url_spec, app_time]) + "\n") + +# split_file() + +# run('30000.csv','30000-result.csv') +# run('20000.csv','20000-result.csv') diff --git a/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/website_runner.py b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/website_runner.py new file mode 100644 index 0000000..c2db3d2 --- /dev/null +++ b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/website_runner.py @@ -0,0 +1,51 @@ +from playwright.sync_api import sync_playwright + + +def run_with_specific_browser_type(url): + with sync_playwright() as p: + # 方法4: 选择不同的浏览器类型 + # 使用Chrome + browser_chrome = p.chromium.launch(channel='chrome', headless=True, timeout=3000) + if not url.startswith("http"): + return url, "" + # 使用Firefox + browser_firefox = p.firefox.launch(headless=False) + + # 使用Safari (仅在macOS上可用) + browser_safari = p.webkit.launch(headless=False) + page = browser_chrome.new_page() + try: + # 分别在不同浏览器中执行操作 + page.goto(url, timeout=10000) + # 执行脚本并等待结果 + result = page.locator("xpath=//*[@id=\"form1\"]/div[6]/div[2]/div[1]/div[3]").text_content(timeout=2000) + print(",".join([url, result])) + return url, result + except Exception as e: + print(e) + return url, "" + +def run(url_path,result_file): + with open(url_path, 'r') as f: + lines = f.readlines() + for line in lines: + url = line.replace("\n", "") + all_create_time = run_with_specific_browser_type(url) + with open(result_file, 'a') as f: + f.write(",".join(all_create_time) + "\n") + +# 使用示例 +if __name__ == "__main__": + # 选择一个方法运行 + # run_in_existing_browser() + # run_with_specific_browser_path() + # run_with_user_data_dir() + # run_with_specific_browser_type() + # run_with_specific_browser_path() + with open('url.txt', 'r') as f: + lines = f.readlines() + for line in lines: + url = line.replace("\n", "") + all_create_time = run_with_specific_browser_type(url) + with open('create_time.csv', 'a') as f: + f.write(",".join(all_create_time) + "\n") diff --git "a/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/\345\220\215\347\247\260-\347\273\217\347\272\254\345\272\246.csv" "b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/\345\220\215\347\247\260-\347\273\217\347\272\254\345\272\246.csv" new file mode 100644 index 0000000..a64ed94 --- /dev/null +++ "b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/\345\220\215\347\247\260-\347\273\217\347\272\254\345\272\246.csv" @@ -0,0 +1,27680 @@ +拉丁名,纬度-Latitude,经度 - Longitude +Meconopsis horridula,27.79323,99.58532 +Barleria integrisepala,27.92,101.27 +Cystacanthus affinis,27.928607,101.279419 +Dicliptera elegans,29.91,102.23 +Justicia siccanea,26.56023,100.17643 +Justicia xylopoda,25.584234,100.222124 +Strobilanthes cyphantha,26.56023,100.17643 +Strobilanthes kingdonii,29.32,95.33 +Strobilanthes medogensis,30.0092,94.9669 +Strobilanthes nemorosa,27.740736,98.66582 +Actinidia grandiflora,28.67,104.01 +Saurauia polyneura,35.86,104.2 +Saurauia rubricalyx,29.32,95.33 +Sinadoxa corydalifolia,32.2558,96.3258 +Viburnum davidii,29.914155,102.234618 +Archiatriplex nanpinensis,32.637983,103.59895 +Baolia bracteata,30.58,82.43 +Corispermum falcatum,28.91,89.6 +Corispermum lepidocarpum,31.712092,88.118533 +Corispermum lhasaense,29.65,91.12 +Corispermum pseudofalcatum,29.27,88.88 +Salsola chinghaiensis,38.13,93.29 +Allium aciphyllum,31.93,102.1 +Allium changduense,28.66,97.46 +Allium chrysocephalum,34.403056,100.392778 +Allium cyathophorum,34.65,100.62 +Allium eusperma,28.7922,99.8372 +Allium forrestii,31.87,99.12 +Allium herderianum,33.176944,97.379444 +Allium kingdonii,27.03,100.23 +Allium maowenense,31.084,103.267 +Allium nanodes,28.93,99.79 +Allium pevtzovii,37.88,77.41 +Allium rude,33.76,99.433889 +Allium siphonanthum,27.83,99.7 +Allium songpanicum,32.637983,103.59895 +Allium tanguticum,34.683333,100.683333 +Allium xiangchengense,30.05,101.97 +Allium xichuanense,28.48611,98.911543 +Allium yuanum,33.376944,100.29 +Cotinus nana,24.976725,101.487417 +Cotinus szechuanensis,32.089392,109.815677 +Polyalthia chinensis,29.32,95.33 +Acronema alpinum,29.15,92.58 +Acronema astrantiifolium,28.93,99.79 +Acronema brevipedicellatum,28.932073,99.79929 +Acronema chienii,30.98,102.87 +Acronema chinense,32.58333,103.83333 +Acronema commutatum,35.86,104.2 +Acronema forrestii,31.95,102.65 +Acronema gracile,28.85,85.29 +Acronema paniculatum,29.88,93.24 +Acronema schneideri,24.25111,101.865 +Acronema sichuanense,32.77,96.67 +Acronema xizangense,29.03,93.9 +Acronema yadongense,27.48,88.9 +Angelica apaensis,26.088547,103.176727 +Angelica balangshanensis,31.084,103.267 +Angelica duclouxii,27.740736,98.66582 +Angelica kangdingensis,30.055305,101.96483 +Angelica longipedicellata,30.368117,102.81464 +Angelica nitida,35.20256,102.521732 +Angelica paeoniifolia,29.04,93.07 +Angelica pinnatiloba,32.637983,103.59895 +Angelica scaberula,26.56023,100.17643 +Angelica songpanensis,32.637983,103.59895 +Arcuatopterus thalictrioideus,29.914155,102.234618 +Bupleurum alatum,28.17,85.98 +Bupleurum chaishoui,29.000343,101.507299 +Bupleurum commelynoideum,30.055305,101.96483 +Bupleurum condensatum,36.52,100.77 +Bupleurum malconense,33.06,107.03 +Bupleurum petiolulatum,30.066708,102.758313 +Bupleurum qinghaiense,35.391656,102.060263 +Bupleurum rockii,30,94.9 +Bupleurum wenchuanense,30.911944,102.546111 +Bupleurum yunnanense,28.93,92.22 +Chaerophyllopsis huai,28.66,97.46 +Chamaesium delavayi,26.56023,100.17643 +Chamaesium paradoxum,29.85,102.25 +Chamaesium thalictrifolium,32.75,103.83333 +Cortiella caespitosa,32.05,118.79 +Cyclorhiza peucedanifolia,26.876096,100.229945 +Cyclorhiza waltonii,26.11116,99.951049 +Ferula hexiensis,38.83,99.62 +Ferula kingdon-wardii,26.876096,100.229945 +Ferula olivacea,28.8675,99.245833 +Haplosphaera phaea,28.93,99.79 +Harrysmithia heterophylla,36.519977,103.891767 +Heracleum forrestii,29.037008,100.298406 +Heracleum nyalamense,28.17,85.98 +Heracleum oreocharis,35.86,104.2 +Heracleum souliei,32.637983,103.59895 +Heracleum stenopteroides,27.981944,98.470278 +Heracleum stenopterum,27.92,101.27 +Heracleum subtomentellum,26.876096,100.229945 +Heracleum wenchuanense,31.084,103.267 +Heracleum wolongense,31.084,103.267 +Heracleum xiaojinense,30.99903,102.364372 +Heracleum yungningense,26.876096,100.229945 +Libanotis depressa,32.775621,96.67737 +Ligusticum capillaceum,27.42,101.5 +Ligusticum delavayi,29.14,92.59 +Ligusticum franchetii,27.928607,101.279419 +Ligusticum glaucifolium,36.519977,103.891767 +Ligusticum gyirongense,28.85,85.29 +Ligusticum hispidum,25.827253,100.575146 +Ligusticum involucratum,26.901731,98.869207 +Ligusticum likiangense,26.876096,100.229945 +Ligusticum litangense,29.99605,100.269814 +Ligusticum littledalei,30.32,90.58 +Ligusticum multivittatum,27.177166,99.28717 +Ligusticum nematophyllum,32.637983,103.59895 +Ligusticum pteridophyllum,35.86,104.2 +Ligusticum scapiforme,30.47,91.09 +Ligusticum sikiangense,30.1469,101.86 +Nothosmyrnium xizangense,29.7547,91.9375 +Notopterygium forrestii,36.519977,103.891767 +Notopterygium pinnatiinvolucellum,30.99903,102.364372 +Pachypleurum lhasanum,29.99605,100.269814 +Pachypleurum muliense,27.928607,101.279419 +Pachypleurum nyalamense,27.2822,100.85195 +Pachypleurum xizangense,30.29,81.17 +Peucedanum angelicoides,29.16,107.1 +Peucedanum delavayi,25.672222,100.1075 +Peucedanum franchetii,26.876096,100.229945 +Peucedanum macilentum,29.85,95.76 +Peucedanum nanum,29.13,92.57 +Peucedanum songpanense,32.637983,103.59895 +Peucedanum turgeniifolium,32.15,97.045 +Peucedanum violaceum,29.58,94.92 +Physospermopsis alepidioides,27.928607,101.279419 +Physospermopsis cuneata,23.880344,100.092756 +Physospermopsis muliensis,27.207777,98.708885 +Pimpinella caudata,32.080556,97.007222 +Pimpinella chungdienensis,29.63,94.36 +Pimpinella filipedicellata,31.1,121.3667 +Pimpinella kingdon-wardii,35.86,104.2 +Pimpinella rockii,25.020615,98.490007 +Pimpinella rubescens,23.127041,113.341527 +Pimpinella silvatica,27.82308,99.706013 +Pimpinella xizangensis,28.42,92.47 +Pleurospermum aromaticum,36.519977,103.891767 +Pleurospermum astrantioideum,30.055305,101.96483 +Pleurospermum bicolor,31.7061,102.314 +Pleurospermum calcareum,28.7464,100.269 +Pleurospermum decurrens,35.86,104.2 +Pleurospermum foetens,28.5733,99.8117 +Pleurospermum hedinii,35.0228,98.8606 +Pleurospermum heracleifolium,29.63,94.36 +Pleurospermum heterosciadium,27.82308,99.706013 +Pleurospermum linearilobum,36.519977,103.891767 +Pleurospermum longicarpum,27.928607,101.279419 +Pleurospermum macrochlaenum,28.85,85.29 +Pleurospermum nanum,29.6114,94.6542 +Pleurospermum nubigenum,31.41,95.59 +Pleurospermum pulszkyi,33.3769,100.29 +Pleurospermum szechenyii,34.59,100.56 +Pleurospermum tsekuense,34.3342,100.509 +Pleurospermum wrightianum,28.36,87.76 +Pternopetalum cardiocarpum,35.86,104.2 +Pternopetalum delavayi,29.7692,95.6854 +Pternopetalum trifoliatum,31.905842,102.206261 +Sanicula rugulosa,29.85,95.76 +Seseli purpureovaginatum,31.93,94.03 +Seseli squarrulosum,36.63,101.2 +Sinocarum dolichopodum,27.42,101.5 +Sinocarum filicinum,28.932073,99.79929 +Sinocarum pityophilum,36.519977,103.891767 +Sinocarum vaginatum,28.93,99.79 +Sinolimprichtia alpina,35.86,104.2 +Sium frigidum,30,100.27 +Tongoloa elata,32.68333,102.5 +Tongoloa pauciradiata,30.368117,102.81464 +Tongoloa rockii,27.382778,100.136111 +Tongoloa rubronervis,27.928607,101.279419 +Tongoloa taeniophylla,32.2808,96.4631 +Tongoloa tenuifolia,31.49,98.21 +Trachydium involucellatum,28.48611,98.911543 +Trachydium simplicifolium,26.876096,100.229945 +Trachydium tibetanicum,35.86,104.2 +Trachydium trifoliatum,28.661276,97.466916 +Trachyspermum triradiatum,31.899166,102.222451 +Biondia hemsleyana,28.7672,99.87 +Biondia longipes,27.93,101.28 +Biondia pilosa,23.625319,105.630906 +Biondia revoluta,32.95,104.68 +Ceropegia muliensis,27.82308,99.706013 +Ceropegia stenophylla,30.055305,101.96483 +Ceropegia teniana,27.928607,101.279419 +Cynanchum anthonyanum,27.3161,100.236 +Cynanchum batangense,30,99.1 +Cynanchum linearisepalum,27.92,101.27 +Cynanchum lysimachioides,27.92,101.27 +Cynanchum szechuanense,28.932073,99.79929 +Dregea yunnanensis,28.795,99.8372 +Hoya silvatica,29.32,95.33 +Marsdenia medogensis,29.326875,95.328655 +Marsdenia pulchella,28.17,104.52 +Tylophora nana,32.637983,103.59895 +Ilex dicarpa,29.32,95.33 +Ilex gracilis,38.073254,104.69114 +Ilex medogensis,29.3253,95.333197 +Ilex micropyrena,27.740736,98.66582 +Ilex miguensis,28.863,96.648 +Ilex rockii,28.48611,98.911543 +Ilex xizangensis,29.32483,95.326681 +Arisaema aridum,35.86,104.2 +Arisaema candidissimum,27.42,101.5 +Arisaema ciliatum,27.129911,100.231216 +Arisaema handelii,35.86,104.2 +Arisaema parvum,30.06,102.75 +Rhaphidophora dulongensis,35.86,104.2 +Aralia apioides,35.86,104.2 +Aralia caesia,27.82308,99.706013 +Aralia tibetana,30.055305,101.96483 +Brassaiopsis tibetana,24.7905,97.6755 +Eleutherococcus baoxinensis,23.351747,113.411891 +Eleutherococcus lasiogyne,30.1351,95.0181 +Eleutherococcus verticillatus,29.63,94.36 +Eleutherococcus xizangensis,28.66,97.46 +Hydrocotyle salwinica,29.32,95.33 +Schefflera wardii,30.0087,94.9578 +Schefflera zhuana,29.32,95.33 +Calamus acanthospathus,27.6903,98.280701 +Trachycarpus princeps,35.86,104.2 +Aristolochia delavayi,27.374855,100.371211 +Aristolochia obliqua,35.86,104.2 +Aristolochia zhongdianensis,29.1031,99.6319 +Asparagus kansuensis,35.555814,106.046122 +Asparagus munitus,27.2822,100.85195 +Asparagus myriacanthus,28.661276,97.466916 +Asparagus przewalskyi,40.492344,115.105519 +Asparagus sichuanicus,31.13,97.18 +Asparagus tibeticus,32.061655,102.990174 +Asparagus yanyuanensis,27.42,101.5 +Chlorophytum chinense,30,99.1 +Liriope kansuensis,31.084,103.267 +Maianthemum forrestii,27.603457,99.888737 +Maianthemum gongshanense,25.9725,98.683611 +Maianthemum lichiangense,28.9164,102.216 +Maianthemum szechuanicum,30.843109,102.709563 +Ophiopogon lushuiensis,35.86,104.2 +Ophiopogon yunnanensis,35.86,104.2 +Polygonatum curvistylum,26.876096,100.229945 +Polygonatum hirtellum,29,101.5 +Ainsliaea foliosa,28.48611,98.911543 +Ainsliaea macrocephala,26.876096,100.229945 +Ainsliaea mattfeldiana,29.037008,100.298406 +Ainsliaea smithii,31.43,103.17 +Ajania adenantha,25.584234,100.222124 +Ajania brachyantha,28.67,87.12 +Ajania elegantula,32.1431,97.2706 +Ajania hypoleuca,32.943816,104.683378 +Ajania nitida,30.055305,101.96483 +Ajania purpurea,29.65,91.12 +Ajania ramosa,32.3169,96.6267 +Ajania tripinnatisecta,27.928607,101.279419 +Ajania truncata,30.99,102.36 +Ajaniopsis penicilliformis,29.68,89.09 +Allardia lasiocarpa,33.38,79.73 +Anaphalis acutifolia,28.85,85.29 +Anaphalis batangensis,30,99.1 +Anaphalis bicolor,32.9911,97.3481 +Anaphalis chlamydophylla,27.25,100.17 +Anaphalis chungtienensis,27.82308,99.706013 +Anaphalis cinerascens,28.40369,99.449722 +Anaphalis delavayi,35.86,104.2 +Anaphalis elegans,29.914155,102.234618 +Anaphalis gracilis,26.537043,99.905548 +Anaphalis hymenolepis,32.26,100.97 +Anaphalis lactea,38.78,101.08 +Anaphalis larium,28.48611,98.911543 +Anaphalis latialata,32.1028,97.0419 +Anaphalis likiangensis,26.56023,100.17643 +Anaphalis oxyphylla,35.86,104.2 +Anaphalis plicata,29.7408,91.1164 +Anaphalis porphyrolepis,29.9,94.87 +Anaphalis rhododactyla,35.86,104.2 +Anaphalis souliei,30.0403,101.838 +Anaphalis spodiophylla,29.03,93.9 +Anaphalis stenocephala,28.661276,97.466916 +Anaphalis suffruticosa,26.876096,100.229945 +Anaphalis szechuanensis,28.713041,99.286333 +Anaphalis tenuisissima,30.99903,102.364372 +Anaphalis tibetica,28.491111,98.939722 +Anaphalis virens,29.0725,99.6322 +Anaphalis viridis,28.596944,99.867778 +Artemisia abaensis,28.48611,98.911543 +Artemisia aksaiensis,39.08,117.24 +Artemisia baimaensis,34.047,104.393 +Artemisia comaiensis,31.1094,96.8744 +Artemisia conaensis,30.05,101.96 +Artemisia duthreuil-de-rhinsi,35.261667,98.9825 +Artemisia erlangshanensis,30.06,102.75 +Artemisia fulgens,39.879848,114.630747 +Artemisia gongshanensis,27.583334,98.78333 +Artemisia gyangzeensis,39.43,111.5 +Artemisia gyitangensis,34.047,104.393 +Artemisia imponens,28.93,99.79 +Artemisia jilongensis,28.85,85.29 +Artemisia kangmarensis,28.55,89.68 +Artemisia mattfeldii,36.519977,103.891767 +Artemisia nanschanica,34.5942,99.8392 +Artemisia nujianensis,28.71,99.28 +Artemisia occidentali-sinensis,27.82308,99.706013 +Artemisia pamirica,37.88,77.41 +Artemisia pewzowii,33.000556,97.328889 +Artemisia phyllobotrys,30.14,101.86 +Artemisia prattii,29.65,91.05 +Artemisia przewalskii,36.316067,101.86665 +Artemisia robusta,27.740736,98.66582 +Artemisia sinensis,28.48611,98.911543 +Artemisia smithii,32.58333,103.83333 +Artemisia speciosa,31.8,98.58 +Artemisia succulentoides,29.65,91.12 +Artemisia tafelii,29.32,95.33 +Artemisia tainingensis,36.519977,103.891767 +Artemisia tangutica,30.05389,101.95667 +Artemisia tridactyla,36.519977,103.891767 +Artemisia viscida,27.928607,101.279419 +Artemisia viscidissima,34.047,104.393 +Artemisia waltonii,33.0006,97.3289 +Artemisia xigazeensis,29.65,91.12 +Artemisia yadongensis,27.48,88.9 +Artemisia younghusbandii,36.519977,103.891767 +Artemisia youngii,29.67,97.85 +Artemisia yunnanensis,35.86,104.2 +Artemisia zayuensis,27.740736,98.66582 +Artemisia zhongdianensis,29.1031,99.6319 +Aster argyropholis,30.91,102.54 +Aster batangensis,30.47,99.5 +Aster bietii,25,102 +Aster bipinnatisectus,29.969,93.694 +Aster brevis,28.388889,99.0275 +Aster bulleyanus,26.453601,99.416689 +Aster dolichopodus,31.39,100.67 +Aster fulgidulus,29.63,94.36 +Aster handelii,30.05,101.96 +Aster hersileoides,31.08,103.26 +Aster heterolepis,33.392394,104.926525 +Aster hololachnus,28.65,87.12 +Aster homochlamydeus,34.04,104.39 +Aster hypoleucus,29.07,92.87 +Aster ionoglossus,28.85,85.29 +Aster jeffreyanus,36.519977,103.891767 +Aster lavanduliifolius,38.073254,104.69114 +Aster lingulatus,28.93,99.79 +Aster longipetiolatus,30.368117,102.81464 +Aster megalanthus,32.8,102.55 +Aster poliothamnus,34.43808,104.036837 +Aster polius,29.85,95.76 +Aster retusus,29.967,94.251 +Aster setchuenensis,31.8,98.58 +Aster sikuensis,32.94,104.68 +Aster techinensis,28.48611,98.911543 +Aster tongolensis,31.87,99.12 +Aster trichoneurus,28.48611,98.911543 +Aster tsarungensis,28.91,89.6 +Aster yunnanensis,31.82,93.57 +Bolocephalus saussureoides,31.712092,88.118532 +Cancrinia maximowiczii,36.1933,100.715 +Carpesium humile,29.037008,100.298406 +Carpesium lipskyi,28.479167,98.778611 +Chaetoseris lyriformis,26.876096,100.229945 +Chaetoseris macrocephala,29.14,92.59 +Chaetoseris pectiniformis,28.48611,98.911543 +Chaetoseris sichuanensis,29.914155,102.234618 +Cicerbita roborowskii,28.1217,85.99 +Cirsium chrysolepis,24.399048,113.987821 +Cirsium handelii,35.86,104.2 +Cirsium muliense,27.928607,101.279419 +Cirsium periacanthaceum,31.7256,100.744 +Cirsium subulariforme,35.86,104.2 +Cirsium tibeticum,29.7408,91.1164 +Cousinia lasiophylla,39.71,75.25 +Cousinia sclerolepis,30.29,81.17 +Cremanthodium angustifolium,29.037008,100.298406 +Cremanthodium botryocephalum,27.624517,99.643997 +Cremanthodium brachychaetum,27.177166,99.28717 +Cremanthodium brunneopilosum,33.00528,97.0065 +Cremanthodium bulbilliferum,35.86,104.2 +Cremanthodium bupleurifolium,35.86,104.2 +Cremanthodium calcicola,29.32,95.33 +Cremanthodium conaense,28,91.95 +Cremanthodium cordatum,27.48,88.9 +Cremanthodium cucullatum,26.453601,99.416689 +Cremanthodium daochengense,27.928607,101.279419 +Cremanthodium dissectum,35.86,104.2 +Cremanthodium forrestii,35.86,104.2 +Cremanthodium glandulipilosum,30.93,88.7 +Cremanthodium glaucum,28.484444,98.948889 +Cremanthodium humile,33.160178,97.126143 +Cremanthodium laciniatum,30.05,96.91 +Cremanthodium lineare,29.7033,92.1214 +Cremanthodium lingulatum,29.63,94.36 +Cremanthodium microglossum,31.852663,96.424628 +Cremanthodium microphyllum,29.04,93.07 +Cremanthodium nervosum,28.17,85.98 +Cremanthodium nobile,31.92061,102.56017 +Cremanthodium obovatum,30.1711,97.3336 +Cremanthodium phyllodineum,35.86,104.2 +Cremanthodium potaninii,30.055305,101.96483 +Cremanthodium prattii,30.025,101.387 +Cremanthodium principis,28.932073,99.79929 +Cremanthodium puberulum,31.9272,96.4597 +Cremanthodium rhodocephalum,35.86,104.2 +Cremanthodium sino-oblongatum,27.82308,99.706013 +Cremanthodium spathulifolium,27.48,88.9 +Cremanthodium stenactinium,31.725,100.744 +Cremanthodium stenoglossum,34.6333,99.7333 +Cremanthodium suave,27.928607,101.279419 +Cremanthodium trilobum,28.66,97.46 +Cremanthodium variifolium,35.86,104.2 +Cremanthodium yadongense,27.48,88.9 +Crepis elongata,30.29,81.17 +Diplazoptilon picridifolium,27.177166,99.28717 +Distephanus forrestii,36.519977,103.891767 +Dolomiaea berardioidea,27.92,101.27 +Dolomiaea calophylla,29.29,87.23 +Dolomiaea crispo-undulata,31.712092,88.118532 +Dolomiaea forrestii,28.5719,99.8328 +Dolomiaea georgii,26.6,99.67 +Dolomiaea lateritia,28.85,85.29 +Dolomiaea platylepis,27.928607,101.279419 +Dolomiaea souliei,30.881667,102.941389 +Dolomiaea wardii,29.7,90.92 +Doronicum conaense,28,91.95 +Doronicum gansuense,32.9841,103.668717 +Doronicum stenoglossum,32.77,96.67 +Doronicum thibetanum,35.86,104.2 +Dubyaea amoena,28.24,98.4 +Dubyaea cymiformis,27.48,88.9 +Dubyaea gombalana,35.86,104.2 +Dubyaea muliensis,29.351675,102.678073 +Dubyaea rubra,27.92,101.27 +Dubyaea tsarongensis,35.86,104.2 +Erigeron kiukiangensis,35.86,104.2 +Erigeron kunshanensis,35.86,104.2 +Erigeron lanuginosus,28.66,97.46 +Erigeron leucoglossus,23.67,113.42 +Erigeron multifolius,35.86,104.2 +Erigeron porphyrolepis,31.9544,98.9128 +Erigeron purpurascens,30.05,101.96 +Erigeron tenuicaulis,29.037008,100.298406 +Faberia thibetica,30.055305,101.96483 +Formania mekongensis,28.71,99.28 +Gerbera connata,25.175621,110.351669 +Gerbera curvisquama,27.740736,98.66582 +Gerbera lijiangensis,25.175621,110.351669 +Gerbera saxatilis,29,101.5 +Helichrysum kashgaricum,39.15,75.95 +Heteropappus bowerii,28.7742,86.2194 +Hippolytia desmantha,33.0606,97.1428 +Hippolytia glomerata,29.040508,90.920913 +Hippolytia kennedyi,29.14,92.59 +Hippolytia syncalathiformis,29.42,90.16 +Hippolytia yunnanensis,35.86,104.2 +Ixeridium aculeolatum,25.045277,104.990555 +Jurinea kaschgarica,39.71,75.25 +Jurinea pamirica,37.346131,90.296832 +Leontopodium artemisiifolium,36.52,103.89167 +Leontopodium calocephalum,28.5858,99.8372 +Leontopodium franchetii,27.8,99.7 +Leontopodium haplophylloides,34.15,102.57 +Leontopodium melanolepis,29.65,91.12 +Leontopodium micranthum,31.62,99.99 +Leontopodium muscoides,28.66,97.46 +Leontopodium niveum,30.05389,101.95667 +Leontopodium roseum,31.68115,103.853481 +Leontopodium souliei,35.86,104.2 +Leontopodium stoechas,30,99.1 +Leontopodium stoloniferum,31.116667,101.133333 +Leontopodium suffruticosum,31.5,98.22 +Leontopodium villosum,30.368117,102.81464 +Leontopodium wilsonii,29.010101,114.412629 +Ligularia alatipes,26.876096,100.229945 +Ligularia atroviolacea,27.82308,99.706013 +Ligularia brassicoides,31.905842,102.206261 +Ligularia chalybea,27.928607,101.279419 +Ligularia changiana,36.519977,103.891767 +Ligularia confertiflora,27.82308,99.706013 +Ligularia curvisquama,28.48611,98.911543 +Ligularia cyathiceps,35.86,104.2 +Ligularia cymbulifera,27.3778,100.077 +Ligularia cymosa,30.05,101.96 +Ligularia dictyoneura,28.8675,99.2458 +Ligularia discoidea,29.63,94.36 +Ligularia eriocaulis,28.15,100.84 +Ligularia euryphylla,27.778126,99.592171 +Ligularia ghatsukupa,28.93,92.22 +Ligularia kangtingensis,30.05,101.96 +Ligularia konkalingensis,28.27,103.57 +Ligularia lapathifolia,24.9667,102.633 +Ligularia latipes,31.68115,103.853481 +Ligularia liatroides,32.7464,97.3472 +Ligularia lidjiangensis,27.085138,100.263298 +Ligularia lingiana,27.928607,101.279419 +Ligularia longihastata,35.86,104.2 +Ligularia macrodonta,34.69,103.35 +Ligularia melanocephala,29.0019,99.7428 +Ligularia melanothyrsa,26.876096,100.229945 +Ligularia microcardia,29.914155,102.234618 +Ligularia microcephala,28.48611,98.911543 +Ligularia muliensis,27.3778,100.077 +Ligularia myriocephala,30.0067,93.0017 +Ligularia nyingchiensis,29.63,94.36 +Ligularia odontomanes,27.928607,101.279419 +Ligularia oligonema,28.48611,98.911543 +Ligularia paradoxa,27.92,101.27 +Ligularia petiolaris,31.712092,88.118532 +Ligularia phoenicochaeta,35.86,104.2 +Ligularia pleurocaulis,30.9681,98.9686 +Ligularia potaninii,33.012778,103.714722 +Ligularia pterodonta,35.86,104.2 +Ligularia pubifolia,29.85,95.76 +Ligularia purdomii,31.4972,99.9925 +Ligularia rockiana,35.86,104.2 +Ligularia stenoglossa,25.584234,100.222124 +Ligularia subspicata,28.93,99.79 +Ligularia tenuicaulis,27.740736,98.66582 +Ligularia tongkyukensis,29.58,94.95 +Ligularia tongolensis,30.055305,101.96483 +Ligularia transversifolia,35.86,104.2 +Ligularia tsangchanensis,29.05,93.93 +Ligularia vellerea,27.63,99.75 +Ligularia yunnanensis,35.86,104.2 +Nannoglottis delavayi,27.928607,101.279419 +Nannoglottis latisquama,27.928607,101.279419 +Nannoglottis ravida,29.53,102.87 +Nannoglottis yunnanensis,27.82308,99.706013 +Parasenecio cyclotus,26.11116,99.951049 +Parasenecio deltophyllus,35.20256,102.521732 +Parasenecio hastiformis,26.876096,100.229945 +Parasenecio jiulongensis,29.000343,101.507299 +Parasenecio latipes,28.64861,98.92888 +Parasenecio lidjiangensis,24.976725,101.487417 +Parasenecio longispicus,31.1419,100.909 +Parasenecio maowenensis,31.68115,103.853481 +Parasenecio palmatisectus,30.1469,101.86 +Parasenecio rockianus,26.876096,100.229945 +Parasenecio souliei,30.055305,101.96483 +Pertya angustifolia,31.5119,100.696 +Pertya berberidoides,28.48611,98.911543 +Pertya monocephala,28.04,98.57916 +Pertya phylicoides,28.932073,99.79929 +Pertya uniflora,34.84,104.47 +Petasites versipilus,27.928607,101.279419 +Pulicaria chrysantha,27.76,100.32 +Pulicaria insignis,32.446944,98.009167 +Pyrethrum arrasanicum,42.26,86.86 +Pyrethrum tatsienense,35.86,104.2 +Saussurea acroura,32.637983,103.59895 +Saussurea apus,35.254167,98.982778 +Saussurea arenaria,34.3108,99.1814 +Saussurea aster,32,90 +Saussurea bella,35.4228,99.3703 +Saussurea bomiensis,29.6111,94.6517 +Saussurea brachylepis,30.5,102.5 +Saussurea brunneopilosa,35.2617,98.9825 +Saussurea bullata,27.82308,99.706013 +Saussurea caudata,30.368117,102.81464 +Saussurea centiloba,27.82308,99.706013 +Saussurea ceterach,28.48611,98.911543 +Saussurea chionophora,30.92,102.93 +Saussurea ciliaris,29.037008,100.298406 +Saussurea cochlearifolia,27.48,88.9 +Saussurea colpodes,28.17,85.98 +Saussurea columnaris,28.14722,99.90389 +Saussurea compta,30.14136,101.865706 +Saussurea coriacea,31.72,100.719 +Saussurea coriolepis,30.3706,102.8122 +Saussurea delavayi,25.660201,100.118305 +Saussurea dschungdienensis,29.037008,100.298406 +Saussurea dzeurensis,34.5761,99.895 +Saussurea eriocephala,25.584234,100.222124 +Saussurea erubescens,30.055305,101.96483 +Saussurea euodonta,26.876096,100.229945 +Saussurea fistulosa,28.64722,98.62 +Saussurea flavo-virens,33.594753,103.19809 +Saussurea georgei,32.6608,98.0481 +Saussurea graciliformis,38.78,101.08 +Saussurea graminea,28.596944,99.867778 +Saussurea grandiceps,29.33,85.23 +Saussurea grosseserrata,27.82308,99.706013 +Saussurea gyacaensis,29.15,92.58 +Saussurea haoi,31.13,97.18 +Saussurea hypsipeta,34.6333,99.7333 +Saussurea integrifolia,28.48611,98.911543 +Saussurea irregularis,28.17,85.98 +Saussurea kansuensis,31.2422,99.8614 +Saussurea katochaete,28.48611,98.911543 +Saussurea kingii,29.14,92.59 +Saussurea lanata,29.14,92.59 +Saussurea laniceps,31.80612,98.580912 +Saussurea lavrenkoana,30.1828,99.9925 +Saussurea leptolepis,32.583333,103.833333 +Saussurea leucoma,27.42,101.5 +Saussurea lhunzhubensis,31.2869,97.9942 +Saussurea limprichtii,32.3989,98.1978 +Saussurea lingulata,29.57,101.88 +Saussurea longifolia,30.1192,92.1594 +Saussurea loriformis,28.3,99.17 +Saussurea lyratifolia,29.85,95.76 +Saussurea malitiosa,36.47,98.22 +Saussurea melanotrica,33.594753,103.19809 +Saussurea micradenia,28.48611,98.911543 +Saussurea minuta,33.9294,99.7433 +Saussurea montana,29.037008,100.298406 +Saussurea muliensis,30.5,102.5 +Saussurea nematolepis,32.1383,96.5675 +Saussurea neofranchetii,27.82308,99.706013 +Saussurea nidularis,28.33,98.7 +Saussurea nyalamensis,28.85,85.29 +Saussurea ochrochlaena,28.497222,98.956389 +Saussurea ovatifolia,32.3,84.06 +Saussurea paleacea,31.18,97.15 +Saussurea paxiana,32.8831,96.685 +Saussurea phaeantha,36.92,101.32 +Saussurea polycolea,30.1469,101.86 +Saussurea polypodioides,27.177166,99.28717 +Saussurea poochlamys,26.876096,100.229945 +Saussurea porphyroleuca,26.876096,100.229945 +Saussurea pratensis,34.75,99.67 +Saussurea pseudomalitiosa,35.76667,94.33333 +Saussurea pteridophylla,35.86,104.2 +Saussurea pubescens,29.68,89.09 +Saussurea pubifolia,29.65,91.12 +Saussurea pulchra,40.29,97.04 +Saussurea pulvinata,37,88.5 +Saussurea pumila,29.037008,100.298406 +Saussurea purpurascens,29.3342,101.499 +Saussurea quercifolia,30.055305,101.96483 +Saussurea retroserrata,28.66,97.46 +Saussurea rhytidocarpa,29.037008,100.298406 +Saussurea rockii,35.86,104.2 +Saussurea romuleifolia,31.5978,100.367 +Saussurea salwinensis,32.075,97.0386 +Saussurea scabrida,35.86,104.2 +Saussurea semiamplexicaulis,28.5,98.8667 +Saussurea semifasciata,27.740736,98.66582 +Saussurea semilyrata,35.86,104.2 +Saussurea sericea,30.28,90.62 +Saussurea souliei,30.5,102.5 +saussurea spatulifolia,28.48611,98.911543 +Saussurea subulisquama,28.48611,98.911543 +Saussurea tatsienensis,28.576389,99.85 +Saussurea thoroldii,36.5875,100.491 +Saussurea tibetica,37.266667,94.45 +Saussurea uliginosa,26.876096,100.229945 +Saussurea undulata,33.57587,102.961829 +Saussurea variiloba,0,0 +Saussurea velutina,0,0 +Saussurea wellbyi,0,0 +Saussurea wettsteiniana,0,0 +Saussurea woodiana,30.055305,101.96483 +Saussurea yunnanensis,25,102 +Scorzonera pamirica,37.77,75.22 +Senecio atrofuscus,27.82308,99.706013 +Senecio chungtienensis,36.519977,103.891767 +Senecio daochengensis,29.037008,100.298406 +Senecio densiserratus,30.91,102.54 +Senecio diversipinnus,34.5886,100.558 +Senecio dodrans,22.8623,106.824 +Senecio drukensis,29.85,95.76 +Senecio echaetus,28.85,85.29 +Senecio erythropappus,36.519977,103.891767 +Senecio kongboensis,29.85,95.76 +Senecio lhasaensis,29.73,90.98 +Senecio lijiangensis,27.82308,99.706013 +Senecio lingianus,29.32,95.33 +Senecio megalanthus,28.93,99.79 +Senecio muliensis,29.037008,100.298406 +Senecio multibracteolatus,27.42,101.5 +Senecio myriocephalus,29.85,95.76 +Senecio nigrocinctus,29.32,95.33 +Senecio nodiflorus,28.66,97.46 +Senecio pteridophyllus,35.86,104.2 +Senecio saussureoides,32.0506,97.24 +Senecio spathiphyllus,27.82308,99.706013 +Senecio tricuspis,27.92,101.27 +Seriphidium grenardii,39.46,75.99 +Sinacalia caroli,30.368117,102.81464 +Sinosenecio fangianus,30.91,102.54 +Sinosenecio rotundifolius,32.63,103.59 +Sinosenecio subrosulatus,29.914155,102.234618 +Sinosenecio sungpanensis,32.98383,103.6691 +Soroseris teres,27.48,88.9 +Stenoseris tenuis,27.48,88.9 +Syncalathium chrysocephalum,31.1094,96.8744 +Syncalathium disciforme,33.451683,99.44748 +Syncalathium kawaguchii,31.1661,97.3006 +Syncalathium roseum,33.451683,99.44748 +Syncalathium souliei,35.86,104.2 +Synotis auriculata,38.72771,105.948911 +Synotis muliensis,29.6008,102.068 +Synotis otophylla,38.72771,105.948911 +Synotis setchuanensis,30.055305,101.96483 +Synotis solidaginea,30.0067,93.0017 +Synotis xantholeuca,35.86,104.2 +Taraxacum calanthodium,30.055305,101.96483 +Taraxacum centrasiaticum,39.333333,106.983333 +Taraxacum chionophilum,30.023401,108.185012 +Taraxacum dasypodum,26.876096,100.229945 +Taraxacum forrestii,30.350228,95.474417 +Taraxacum glaucophyllum,28.932073,99.79929 +Taraxacum grypodon,29.85,95.76 +Taraxacum lanigerum,27.177166,99.28717 +Taraxacum ludlowii,31.712092,88.118532 +Taraxacum lugubre,30,99 +Taraxacum maurocarpum,28.5733,99.8117 +Taraxacum qirae,39.06,113.61 +Taraxacum stenoceras,36.92697,101.685623 +Taraxacum suberiopodum,27.928607,101.279419 +Tephroseris rufa,34.593056,103.508333 +Xanthopappus subacaulis,38,102 +Youngia hastiformis,29.914155,102.234618 +Youngia kangdingensis,30.05,101.96 +Youngia paleacea,31.82,108.62 +Youngia pilifera,29.000343,101.507299 +Youngia terminalis,29.4,110.15 +Impatiens apsotis,29.5833,102.039 +Impatiens bahanensis,35.86,104.2 +Impatiens barbata,29.037008,100.298406 +Impatiens chiulungensis,25.0167,102.6833 +Impatiens conaensis,28,91.95 +Impatiens crassicaudex,30.65,97.56 +Impatiens delavayi,35.86,104.2 +Impatiens desmantha,27.7408,98.66 +Impatiens fragicolor,29.7786,94.7247 +Impatiens gongshanensis,27.740736,98.66582 +Impatiens hengduanensis,35.86,104.2 +Impatiens infirma,28.93,99.79 +Impatiens lingzhiensis,25.0167,102.6833 +Impatiens margaritifera,27.8984,98.6947 +Impatiens medogensis,29.326875,95.328655 +Impatiens microcentra,35.86,104.2 +Impatiens muliensis,27.92,101.27 +Impatiens mussoti,30.055305,101.96483 +Impatiens nubigena,28.48611,98.911543 +Impatiens nyimana,29.85,95.76 +Impatiens odontopetala,32.44,104.55 +Impatiens oligoneura,34.56,105.72 +Impatiens scutisepala,29.16,107.1 +Impatiens soulieana,31.9822,100.964 +Impatiens subecalcarata,29.1411,99.9644 +Impatiens taronensis,35.86,104.2 +Impatiens tenerrima,30.066708,102.758313 +Impatiens tenuibracteata,29.700995,95.523805 +Impatiens thiochroa,27.82308,99.706013 +Impatiens tomentella,35.86,104.2 +Impatiens tortisepala,30.06,102.75 +Impatiens torulosa,25.72,116.75 +Impatiens toxophora,25.0167,102.6833 +Impatiens vittata,30.066708,102.758313 +Impatiens waldheimiana,30.055305,101.96483 +Impatiens weihsiensis,27.177166,99.28717 +Impatiens xanthocephala,27.928607,101.279419 +Begonia asperifolia,35.86,104.2 +Begonia brevisetulosa,31.008694,103.608072 +Begonia gungshanensis,27.683611,98.304167 +Berberis agricola,23.625319,105.630906 +Berberis approximata,28.8675,99.2458 +Berberis asmyana,30,99.1 +Berberis batangensis,28.9208,100.284 +Berberis brachystachys,33.97,107.24 +Berberis bracteata,31.5697,98.3086 +Berberis calcipratorum,25.584234,100.222124 +Berberis calliantha,0,0 +Berberis campylotropa,0,0 +Berberis chrysosphaera,35.86,104.2 +Berberis concolor,0,0 +Berberis contracta,29.4819,96.6497 +Berberis coryi,0,0 +Berberis crassilimba,30.1469,101.86 +Berberis daiana,31.824099,108.629497 +Berberis daochengensis,29.03,100.3 +Berberis dawoensis,0,0 +Berberis delavayi,26.876096,100.229945 +Berberis derongensis,0,0 +Berberis dictyoneura,30.979541,101.125234 +Berberis dictyophylla,27.475833,99.884167 +Berberis dumicola,27.933333,98.75 +Berberis elliotii,32.775339,103.623545 +Berberis erythroclada,0,0 +Berberis fengii,34.05,111.05 +Berberis forrestii,27.079033,100.261009 +Berberis francisci-ferdinandi,31.6467,98.3906 +Berberis gilungensis,31.5072,97.3344 +Berberis graminea,0,0 +Berberis gyalaica,29.24,91.33 +Berberis hemsleyana,31.712092,88.118532 +Berberis hobsonii,0,0 +Berberis humido-umbrosa,24.615701,100.709787 +Berberis hypericifolia,0,0 +Berberis jamesiana,36.519977,103.891767 +Berberis jiulongensis,0,0 +Berberis johannis,28.67,97.47 +Berberis kangdingensis,30.05,101.97 +Berberis kartanica,28.85,85.29 +Berberis kongboensis,28.7433,101.681 +Berberis lecomtei,30.055305,101.96483 +Berberis lijiangensis,26.876096,100.229945 +Berberis longispina,28.36,87.76 +Berberis lubrica,30.63,119.68 +Berberis ludlowii,27.6961,98.4553 +Berberis luhuoensis,31.4,100.68 +Berberis medogensis,29.326875,95.328655 +Berberis mekongensis,32.2989,100.026 +Berberis metapolyantha,29.03,100.3 +Berberis mianningensis,23.880344,100.092756 +Berberis muliensis,31.8131,99.7178 +Berberis multicaulis,28.67,87.12 +Berberis multiovula,30.07,102.75 +Berberis multiserrata,30.1711,97.3336 +Berberis nullinervis,29.68,89.1 +Berberis nutanticarpa,27.177166,99.28717 +Berberis obovatifolia,25.673893,98.660553 +Berberis pallens,35.86,104.2 +Berberis papillifera,25.8833,100.017 +Berberis parapruinosa,28.17,85.98 +Berberis pingwuensis,30.91,102.54 +Berberis platyphylla,28.48611,98.911543 +Berberis polyantha,31.7781,101.324 +Berberis prattii,28.333333,98.666667 +Berberis pseudoamoena,28.27,103.57 +Berberis pulangensis,30.3,81.17 +Berberis racemulosa,39.71,75.25 +Berberis reticulinervis,27.928607,101.279419 +Berberis retusa,29.037008,100.298406 +Berberis sabulicola,40.133102,116.320516 +Berberis sherriffii,31.712092,88.118532 +Berberis sichuanica,30.23722,99.25306 +Berberis stiebritziana,28.48611,98.911543 +Berberis taronensis,35.86,104.2 +Berberis taylorii,29.333333,94.283333 +Berberis temolaica,29.62,94.68 +Berberis tenuipedicellata,29,101.5 +Berberis tischleri,29.2739,98.6728 +Berberis tomentulosa,35.86,104.2 +Berberis trichiata,29.68,98.6 +Berberis tsangpoensis,31.68115,103.853481 +Berberis tsarica,33.38,79.73 +Berberis tsarongensis,25.8667,100.033 +Berberis umbratica,29.6719,94.719 +Berberis vernae,30.979541,101.125234 +Berberis vinifera,28.17,85.98 +Berberis weixiensis,27.074358,99.881935 +Berberis xanthophlaea,31.712092,88.118532 +Berberis yunnanensis,35.86,104.2 +Berberis zayulana,31.712092,88.118532 +Dysosma tsayuensis,29.8186,94.7172 +Epimedium elongatum,30.055305,101.96483 +Epimedium flavum,30.06,102.75 +Epimedium pauciflorum,31.699997,103.849997 +Mahonia calamicaulis,29.32,95.33 +Mahonia monyulensis,31.712092,88.118532 +Mahonia taronensis,29.32,95.33 +Betula bomiensis,30.4578,100.302 +Betula calcicola,28.713041,99.286333 +Betula delavayi,35.86,104.2 +Betula jiulungensis,29,101.5 +Betula potaninii,31.4881,98.2233 +Betula rhombibracteata,28.48611,98.911543 +Carpinus sungpanensis,30.911944,102.546111 +Corylus wangii,31.37,109.62 +Ostryopsis nobilis,27.446908,100.290082 +Catalpa tibetica,35.86,104.2 +Incarvillea altissima,30.93917,100.311366 +Incarvillea beresowskii,31.499202,98.218428 +Incarvillea compacta,33.1275,97.4622 +Incarvillea delavayi,29.72,98.8 +Incarvillea dissectifoliola,28.319191,99.757347 +Incarvillea forrestii,27.079451,100.258446 +Incarvillea lutea,28.6003,100.287 +Incarvillea mairei,26.876096,100.229945 +Incarvillea younghusbandii,28.897478,90.225189 +Cynoglossum triste,27.931559,99.614517 +Eritrichium acicularum,36.63,101.2 +Eritrichium angustifolium,29.14,92.59 +Eritrichium axillare,35.261667,98.9825 +Eritrichium deqinense,28.48611,98.911543 +Eritrichium echinocaryum,28.48611,98.911543 +Eritrichium gracile,31.47,79.8 +Eritrichium hemisphaericum,33.38,79.73 +Eritrichium heterocarpum,35.14,100.61 +Eritrichium humillimum,32.829722,96.898889 +Eritrichium kangdingense,30.055305,101.96483 +Eritrichium lasiocarpum,30.93,88.7 +Eritrichium laxum,28.48611,98.911543 +Eritrichium longifolium,37.62,78.28 +Eritrichium longipes,32.77,96.67 +Eritrichium medicarpum,34.7078,100.244 +Eritrichium pectinatociliatum,33.85,95.62 +Eritrichium petiolare,30.29,81.17 +Eritrichium qofengense,28.65,87.12 +Eritrichium sessilifructum,28.48611,98.911543 +Eritrichium sinomicrocarpum,32.9256,97.2661 +Eritrichium tangkulaense,33.742778,97.125 +Hackelia difformis,27.605278,99.885833 +Lappula caespitosa,31.47,79.8 +Lappula ferganensis,43.15,81.12 +Lappula himalayensis,31.47,79.8 +Lasiocaryum trichocarpum,29.0019,99.7428 +Mattiastrum himalayense,31.47,79.8 +Metaeritrichium microuloides,34.365,100.193 +Microula blepharolepis,29.85,102.25 +Microula ciliaris,29.037008,100.298406 +Microula diffusa,32.075,97.0386 +Microula efoveolata,27.928607,101.279419 +Microula floribunda,31.11667,101.13333 +Microula hispidissima,28.17,85.98 +Microula involucriformis,30.368117,102.81464 +Microula jilongensis,28.85,85.29 +Microula leiocarpa,28.48611,98.911543 +Microula longipes,32.66667,102.91667 +Microula longituba,29.67,97.84 +Microula muliensis,27.928607,101.279419 +Microula myosotidea,28.932073,99.79929 +Microula oblongifolia,29.037008,100.298406 +Microula ovalifolia,30.055305,101.96483 +Microula polygonoides,28.48611,98.911543 +Microula pseudotrichocarpa,29.9951,94.0217 +Microula rockii,32.752222,103.746111 +Microula spathulata,33.14,97.5 +Microula stenophylla,34.3108,99.1814 +Microula tangutica,34.1278,97.6578 +Microula younghusbandii,31.8331,96.4883 +Onosma adenopus,29.1031,99.6319 +Onosma album,27.82308,99.706013 +Onosma glomeratum,29.27,88.88 +Onosma liui,29.357618,110.449846 +Onosma maaikangense,29.67,97.84 +Onosma mertensioides,26.634503,102.577962 +Onosma multiramosum,31.68115,103.853481 +Onosma nangqienense,28.385,98.78583 +Onosma sinicum,34.188997,105.178599 +Onosma waddellii,31.1,97.19 +Onosma waltonii,29.27,88.88 +Onosma wardii,26.655322,102.244617 +Onosma yajiangense,30.031529,101.014427 +Onosma zayuense,35.86,104.2 +Trigonotis barkamensis,31.905842,102.206261 +Trigonotis bracteata,29.85,95.76 +Trigonotis cinereifolia,29.85,95.76 +Trigonotis corispermoides,31.905842,102.206261 +Trigonotis delicatula,26.876096,100.229945 +Trigonotis gracilipes,28.650694,98.621167 +Trigonotis leucantha,30.98,101.12 +Trigonotis longipes,28.650694,98.621167 +Trigonotis longiramosa,28.650694,98.621167 +Trigonotis muliensis,31.302778,97.959444 +Trigonotis petiolaris,31.9181,96.4608 +Trigonotis rockii,30.0009,94.2053 +Trigonotis rotundata,36.519977,103.891767 +Trikeraia pappiformis,31.084,103.267 +Baimashania pulvinata,28.48611,98.911543 +Cardamine caroides,29,101.5 +Cardamine franchetiana,28.8164,99.2158 +Cardamine gracilis,27.82308,99.706013 +Cardamine microzyga,29.155,100.088 +Cardamine multiflora,30.36,102.81 +Cardamine purpurascens,28.54,102.17 +Cardamine rockii,30.93,100.31 +Cardamine simplex,27.82308,99.706013 +Chorispora tashkorganica,38.276111,74.918333 +Christolea niyaensis,37.31,75.42 +Desideria baiogoinensis,31.39,90 +Desideria prolifera,29.7108,98.0025 +Dilophia ebracteata,34.365,100.193 +Dipoma iberideum,28.54,102.17 +Dontostemon tibeticus,33.14,97.4981 +Draba calcicola,27.82308,99.706013 +Draba draboides,31.3417,97.7108 +Draba handelii,35.86,104.2 +Draba involucrata,27.793619,99.586174 +Draba juncunda,38.073254,104.69114 +Draba linearifolia,30.17,97.28 +Draba matangensis,31.8503,102.67 +Draba nylamensis,28.17,85.98 +Draba oreodoxa,27.03332,100.17733 +Draba remotiflora,32.583333,103.833333 +Draba senilis,26.876096,100.229945 +Draba serpens,29.9,94.87 +Draba surculosa,29.49,103.39 +Draba yunnanensis,29.3342,101.499 +Draba zangbeiensis,31.3506,97.6828 +Erysimum forrestii,27.778257,99.593117 +Erysimum handel-mazzettii,28.401194,99.449791 +Erysimum roseum,34.78,92.88 +Erysimum wardii,29.33,89.97 +Eutrema fontanum,30.182778,99.9925 +Eutrema verticillatum,28.3,99.166667 +Hemilophia franchetii,24.976725,101.487417 +Hemilophia pulchella,27.42,101.5 +Hemilophia rockii,29.1531,101.407 +Hemilophia sessilifolia,28.576389,99.85 +Phaeonychium villosum,31.3417,97.7108 +Platycraspedum tibeticum,30.055305,101.96483 +Platycraspedum wuchengyii,31.8,98.58 +Sinosophiopsis bartholomewii,35.773359,96.04683 +Sisymbriopsis pamirica,37.77,75.22 +Sisymbriopsis yechengnica,37.553055,77.316111 +Sisymbrium yunnanense,31.9744,100.941 +Solms-laubachia eurycarpa,33.1272,96.7181 +Solms-laubachia lanata,29.65,91.12 +Solms-laubachia linearifolia,28.48611,98.911543 +Solms-laubachia minor,29.578333,99.825833 +Solms-laubachia pulcherrima,28.537778,99 +Solms-laubachia retropilosa,29.1461,100.038 +Solms-laubachia xerophyta,27.82308,99.706013 +Thlaspi flagelliferum,29.49,103.39 +Thlaspi yunnanense,29.63,94.36 +Buxus rugulosa,29.08,93.08 +Adenophora brevidiscifera,27.42,101.5 +Adenophora jasionifolia,31.3,97.98 +Adenophora liliifolioides,28.7672,99.87 +Adenophora lobophylla,30.87,101.89 +Campanula calcicola,27.92,101.27 +Campanula chinensis,35.86,104.2 +Campanula crenulata,27.42,101.5 +Campanula delavayi,27.92,101.27 +Campanula glomeratoides,29.85,95.76 +Codonopsis alpina,35.86,104.2 +Codonopsis bulleyana,27.787725,99.580017 +Codonopsis canescens,32.265516,100.978754 +Codonopsis chimiliensis,35.86,104.2 +Codonopsis chlorocodon,28.932073,99.79929 +Codonopsis cordifolioidea,35.86,104.2 +Codonopsis gombalana,35.86,104.2 +Codonopsis hirsuta,27.92,101.27 +Codonopsis levicalyx,25.13638,102.74055 +Codonopsis meleagris,27,100.211944 +Codonopsis pianmaensis,35.86,104.2 +Codonopsis rosulata,27.42,101.5 +Codonopsis subglobosa,28.537778,99 +Codonopsis subscaposa,31.178803,102.758121 +Cyananthus fasciculatus,31.08,103.26 +Cyananthus formosus,28.5858,99.8372 +Cyananthus lichiangensis,30.881715,102.939847 +Cyananthus macrocalyx,28.401091,99.451424 +Cyananthus sericeus,29.03,100.3 +Homocodon pedicellatus,29.6033,102.073 +Leptocodon hirsutus,35.86,104.2 +Abelia buddleioides,29.08,93.08 +Abelia forrestii,26.850444,100.179889 +Dipsacus chinensis,28.66,97.46 +Lonicera litangensis,29.1239,99.9967 +Lonicera oreodoxa,32.67,103.83 +Lonicera sublabiata,30.979541,101.125234 +Lonicera trichosantha,30.055305,101.96483 +Lonicera tubuliflora,29.63,94.36 +Morina chlorantha,29.000343,101.507299 +Morina kokonorica,29.7014,92.2153 +Patrinia speciosa,29.9,94.87 +Patrinia trifoliata,25.31805,101.03222 +Pterocephalus bretschneideri,29.08,93.08 +Valeriana barbulata,35.86,104.2 +Valeriana daphniflora,27.4,102.17 +Valeriana flagellifera,36.92,101.68 +Valeriana hirticalyx,32.2,96.48 +Valeriana meonantha,35.52,102.02 +Valeriana minutiflora,28.66,97.46 +Valeriana sichuanica,27.92,101.27 +Valeriana stenoptera,30.05,101.96 +Valeriana trichostoma,28.5733,99.8117 +Arenaria acicularis,29.65,91.12 +Arenaria aksayqingensis,37.599998,76.783333 +Arenaria amdoensis,29.68,89.1 +Arenaria auricoma,28.48,98.92 +Arenaria barbata,28.66,97.46 +Arenaria baxoiensis,30.05,96.91 +Arenaria bomiensis,30.4578,100.302 +Arenaria brevipetala,29,101.5 +Arenaria chamdoensis,32.27,96.22 +Arenaria ciliolata,32,90 +Arenaria delavayi,35.86,104.2 +Arenaria dimorphitricha,29.2189,101.516 +Arenaria dsharaensis,30.878627,101.89063 +Arenaria euodonta,35.86,104.2 +Arenaria filipes,27.928607,101.279419 +Arenaria forrestii,29.9,94.87 +Arenaria fridericae,27.82308,99.706013 +Arenaria galliformis,32.3,84.07 +Arenaria gerzeensis,37.62,78.28 +Arenaria haitzeshanensis,31.8,98.58 +Arenaria inconspicua,35.86,104.2 +Arenaria inornata,28.48,98.92 +Arenaria ischnophylla,30.05,101.96 +Arenaria kansuensis,32.3169,96.6267 +Arenaria lancangensis,29.63,94.36 +Arenaria leucasteria,31,102.37 +Arenaria littledalei,29.04,93.07 +Arenaria longipes,27.928607,101.279419 +Arenaria longipetiolata,27.928607,101.279419 +Arenaria longistyla,28.93,99.79 +Arenaria melandryiformis,30.47,91.09 +Arenaria membranisepala,37.599998,76.783333 +Arenaria microstella,29.03,100.3 +Arenaria minima,27.928607,101.279419 +Arenaria monantha,31.712092,88.118532 +Arenaria monilifera,29.22,94.22 +Arenaria monosperma,29.68,89.09 +Arenaria napuligera,27.776129,99.602592 +Arenaria pogonantha,29.49,103.39 +Arenaria polysperma,35.86,104.2 +Arenaria polytrichoides,29.77,84.03 +Arenaria przewalskii,34.4692,100.393 +Arenaria pseudostellaria,30.86,102.69 +Arenaria puranensis,28.12,87.33 +Arenaria qinghaiensis,32.51,91.83 +Arenaria quadridentata,31.37,109.62 +Arenaria ramellata,30.05,96.91 +Arenaria reducta,28.48611,98.911543 +Arenaria rhodantha,29.14,92.59 +Arenaria roborowskii,33.376944,100.29 +Arenaria rockii,29.3858,100.149 +Arenaria roseiflora,28.4,98.4 +Arenaria saginoides,31.39,90 +Arenaria salweenensis,35.86,104.2 +Arenaria schneideriana,27.82308,99.706013 +Arenaria setifera,30.05,101.96 +Arenaria shannanensis,28.48611,98.911543 +Arenaria smithiana,35.86,104.2 +Arenaria spathulifolia,29.1381,99.3342 +Arenaria trichophora,28.66,97.46 +Arenaria trichophylla,27.928607,101.279419 +Arenaria tumengelaensis,32.27,91.68 +Arenaria weissiana,32.26,91.68 +Arenaria xerophila,26.876096,100.229945 +Arenaria yulongshanensis,29.7017,98.5256 +Arenaria zadoiensis,34.73,101.6 +Arenaria zhongdianensis,29.1031,99.6319 +Cerastium szechuense,30.05,101.96 +Pseudostellaria tibetica,31.5,98.22 +Silene adenocalyx,29.85,95.76 +Silene atrocastanea,36.519977,103.891767 +Silene atsaensis,29.85,95.76 +Silene batangensis,30,99.1 +Silene bilingua,30,99.1 +Silene cardiopetala,31.05,109.41 +Silene chodatii,29.03,92.35 +Silene chungtienensis,28.661276,97.466916 +Silene davidii,28.8164,99.2158 +Silene dawoensis,28.93,99.79 +Silene delavayi,27.03,100.23 +Silene dumetosa,27.82308,99.706013 +Silene esquamata,31.37,109.62 +Silene gracilenta,27.82308,99.706013 +Silene grandiflora,26.56023,100.17643 +Silene herbilegorum,28.93,99.79 +Silene huguettiae,28.93,99.79 +Silene kialensis,31.62,99.99 +Silene lamarum,27.928607,101.279419 +Silene lhassana,31.712092,88.118532 +Silene lichiangensis,36.519977,103.891767 +Silene lineariloba,26.876096,100.229945 +Silene melanantha,26.11116,99.951049 +Silene monbeigii,29.6375,98.90833 +Silene muliensis,27.928607,101.279419 +Silene multifurcata,28,91.95 +Silene namlaensis,29.63,94.36 +Silene nangqenensis,32.27,96.22 +Silene napuligera,31.8,98.58 +Silene oblanceolata,36.519977,103.891767 +Silene principis,28.7817,99.3075 +Silene pubicalycina,27.82308,99.706013 +Silene puranensis,28.85,85.3 +Silene rosiflora,28.48611,98.911543 +Silene rubricalyx,32,90 +Silene subcretacea,29.620758,94.933625 +Silene trachyphylla,32.27,96.22 +Silene wardii,30.42,93.83 +Silene yetii,29.037008,100.298406 +Silene yunnanensis,35.86,104.2 +Silene zhongbaensis,30.47,91.09 +Silene zhoui,29.65,91.12 +Stellaria arenarioides,35.68,94.23 +Stellaria delavayi,26.655322,102.244617 +Stellaria dianthifolia,29.32,89.95 +Stellaria gyirongensis,29.32,95.33 +Stellaria lanipes,35.86,104.2 +Stellaria mainlingensis,28.932073,99.79929 +Stellaria oxycoccoides,26.09196,120.54154 +Stellaria petiolaris,35.86,104.2 +Stellaria pilosoides,25.974058,98.684998 +Stellaria pusilla,26.09196,120.54154 +Stellaria souliei,29.1025,99.6708 +Stellaria tibetica,27.129292,100.235176 +Stellaria uda,32.978959,98.1029 +Stellaria zangnanensis,27.69,98.3008 +Celastrus xizangensis,29.32483,95.326681 +Euonymus clivicolus,35.86,104.2 +Euonymus lichiangensis,26.856667,100.180278 +Euonymus ternifolius,28.54,102.17 +Microtropis sphaerocarpa,27.6945,98.284798 +Parnassia angustipetala,27.93,101.28 +Parnassia cacuminum,32.77,96.67 +Parnassia davidii,24.175587,110.235565 +Parnassia degeensis,28.1304,99.8534 +Parnassia deqenensis,27.82308,99.706013 +Parnassia filchneri,27.928607,101.279419 +Parnassia humilis,32.27,91.68 +Parnassia kangdingensis,30.86,102.681389 +Parnassia labiata,30.37,102.82 +Parnassia lanceolata,26.12,99.95 +Parnassia leptophylla,29.49,103.39 +Parnassia lijiangensis,26.6582,99.6857 +Parnassia longipetala,35.86,104.2 +Parnassia lutea,29.78,94.72 +Parnassia noemiae,31.824099,108.629497 +Parnassia qinghaiensis,33.2975,100.432 +Parnassia scaposa,29.62,94.58 +Parnassia submysorensis,27.82308,99.706013 +Parnassia subscaposa,28.48,98.92 +Parnassia trinervis,31.18,91.8 +Parnassia yanyuanensis,30.055305,101.96483 +Parnassia yui,35.86,104.2 +Parnassia yulongshanensis,29.7017,98.5256 +Parnassia yunnanensis,28.48611,98.911543 +Garcinia nujiangensis,27.6978,98.2908 +Tricarpelema xizangense,24.82,97.74 +Cuscuta macrolepis,28,91.95 +Ipomoea hirtifolia,28.85,85.29 +Costus oblongus,35.86,104.2 +Kungia aliciae,36.519977,103.891767 +Ohbaea balfourii,27.92,101.27 +Rhodiola alsia,28.48611,98.911543 +Rhodiola alterna,31.480245,93.679637 +Rhodiola chrysanthemifolia,28.48611,98.911543 +Rhodiola forrestii,29.2189,101.516 +Rhodiola handelii,28.25,98.7349 +Rhodiola junggarica,37.77,75.22 +Rhodiola primuloides,32.918333,97.3275 +Rhodiola purpureoviridis,35.86,104.2 +Rhodiola sexifolia,31.49,98.21 +Rhodiola subopposita,42.82,93.51 +Rhodiola tangutica,33.7428,97.125 +Rhodiola tieghemii,29.22,94.22 +Sedum blepharophyllum,30.05,101.97 +Sedum celatum,34.78,92.88 +Sedum celiae,27.422643,101.509187 +Sedum costantinii,30.05,101.96 +Sedum daigremontianum,36.519977,103.891767 +Sedum didymocalyx,30.05,101.96 +Sedum dimorphophyllum,29.037008,100.298406 +Sedum erici-magnusii,29.1239,99.9967 +Sedum feddei,29,101.5 +Sedum fedtschenkoi,43.870518,85.566173 +Sedum forrestii,27.42,101.5 +Sedum franchetii,26.453601,99.416689 +Sedum fui,29.49,103.39 +Sedum giajae,38.073254,104.69114 +Sedum glaebosum,33.000556,97.328889 +Sedum heckelii,28.66,97.46 +Sedum hengduanense,29.037008,100.298406 +Sedum leucocarpum,25.827253,100.575146 +Sedum longifuniculatum,31.43,103.17 +Sedum longyanense,31.13,97.18 +Sedum lutzii,29.32,95.33 +Sedum magniflorum,27.82308,99.706013 +Sedum morotii,29.65,91.12 +Sedum muyaicum,38.073254,104.69114 +Sedum nothodugueyi,30.36,102.81 +Sedum obtrullatum,28.48611,98.911543 +Sedum oligocarpum,35.86,104.2 +Sedum pagetodes,30.95611,103.7825 +Sedum paracelatum,31.8,98.58 +Sedum perrotii,31.08,103.26 +Sedum platysepalum,27.92,101.27 +Sedum prasinopetalum,30.05389,101.95667 +Sedum pratoalpinum,26.876096,100.229945 +Sedum purdomii,37.61056,110.035168 +Sedum ramentaceum,33.33,105.6 +Sedum raymondii,27.82308,99.706013 +Sedum rosei,30.05389,101.95667 +Sedum sagittipetalum,30.95611,103.7825 +Sedum sinoglaciale,27.92,101.27 +Sedum stimulosum,30.05,101.96 +Sedum trichospermum,31.05,109.41 +Sedum tsinghaicum,32.77,96.67 +Sedum tsonanum,28,91.95 +Sedum ulricae,32.120833,97.035 +Sedum wangii,21.957355,100.452547 +Sedum wenchuanense,31.08,103.26 +Sinocrassula ambigua,35.86,104.2 +Sinocrassula techinensis,29.04,93.07 +Gynostemma aggregatum,28.48611,98.911543 +Hemsleya dulongjiangensis,35.86,104.2 +Hemsleya endecaphylla,35.86,104.2 +Hemsleya gigantha,29.914155,102.234618 +Hemsleya lijiangensis,26.56023,100.17643 +Schizopepon bomiensis,29.32,95.33 +Schizopepon macranthus,23.763342,98.82524 +Schizopepon xizangensis,29.32,95.33 +Thladiantha lijiangensis,30.1711,101.869 +Thladiantha longisepala,28.48611,98.911543 +Thladiantha medogensis,29.326875,95.328655 +Thladiantha setispina,30.055305,101.96483 +Cupressus chengiana,30.055305,101.96483 +Cupressus gigantea,29.04,93.07 +Juniperus convallium,31.98,100.59 +Juniperus komarovii,38.073254,104.69114 +Juniperus przewalskii,31.95,102.65 +Juniperus saltuaria,36.519977,103.891767 +Juniperus tibetica,33.0222,97.2689 +Carex aristulifera,35.86,104.2 +Carex canaliculata,28.85,85.3 +Carex changmuensis,28.17,85.98 +Carex chiwuana,27.82308,99.706013 +Carex crebra,32.0944,97.2667 +Carex deciduisquama,27.740736,98.66582 +Carex delavayi,28.01,102.84 +Carex deqinensis,28.48,98.92 +Carex dielsiana,35.86,104.2 +Carex drepanorhyncha,35.86,104.2 +Carex forrestii,26.876096,100.229945 +Carex globistylosa,30.76996,90.96733 +Carex gonggaensis,33.733334,107.96667 +Carex gongshanensis,35.86,104.2 +Carex handelii,30.65,104.08 +Carex heshuonensis,42.27,86.87 +Carex hirtelloides,28.596944,99.867778 +Carex hirticaulis,32.075,97.038611 +Carex hongyuanensis,43.12,128.9 +Carex huolushanensis,30.76996,90.96733 +Carex ivanoviae,32.3,84.06 +Carex karlongensis,30.65,104.08 +Carex longispiculata,29.22,102.35 +Carex magnoutriculata,29.16,107.1 +Carex makuensis,35.86,104.2 +Carex melinacra,35.86,104.2 +Carex motuoensis,29.244431,95.175076 +Carex mucronatiformis,36.4,94.9 +Carex muliensis,27.82308,99.706013 +Carex neodigyna,32.97,98.1 +Carex obovatosquamata,29.67,97.84 +Carex oxyphylla,35.86,104.2 +Carex polymascula,29.1278,99.9753 +Carex pomiensis,35.86,104.2 +Carex prolongata,32.63,103.59 +Carex przewalskii,36.63,101.17 +Carex pseudohumilis,26.876096,100.229945 +Carex qinghaiensis,32.2,96.48 +Carex ridongensis,35.86,104.2 +Carex sagaensis,32.57,83.37 +Carex satakeana,30.48,91.1 +Carex schneideri,30.066708,102.758313 +Carex scolopendriformis,26.876096,100.229945 +Carex stipitiutriculata,30.76996,90.96733 +Carex tangulashanensis,36.62,77.13 +Carex tapintzensis,28.66,97.46 +Carex tatsiensis,33.3769,100.29 +Carex yulungshanensis,26.876096,100.229945 +Carex yunlingensis,28.48611,98.911543 +Carex yunnanensis,35.86,104.2 +Carex yushuensis,32.5739,97.2106 +Carex zekogensis,32.1028,97.0419 +Cyperus nigrofuscus,28.403333,99.771667 +Eleocharis abnorma,27.5,117.4 +Eleocharis erhaiensis,24.773759,110.495339 +Eleocharis penchaoi,24.773759,110.495339 +Eleocharis qinghaiensis,32.27,96.22 +Eleocharis setulosa,25.9836,98.8191 +Kobresia burangensis,30.3,81.17 +Kobresia cercostachya,28.48611,98.911543 +Kobresia cuneata,32.58333,103.83333 +Kobresia falcata,30.511499,103.481974 +Kobresia littledalei,31.47,79.8 +Kobresia loliacea,26.453601,99.416689 +Kobresia robusta,32.49,80.09 +Kobresia setchwanensis,34.3683,100.222 +Kobresia tunicata,26.876096,100.229945 +Kobresia yadongensis,29.936,90.813 +Kobresia yangii,29.037008,100.298406 +Pycreus lijiangensis,24.993889,98.734722 +Scirpus paniculato-corymbosus,29.91,102.23 +Scleria dulungensis,35.86,104.2 +Diapensia wardii,29.49,94.92 +Dioscorea xizangensis,35.86,104.2 +Elaeagnus lanpingensis,35.86,104.2 +Elaeagnus xizangensis,29.63,94.36 +Hippophae gyantsensis,29.65,91.12 +Hippophae neurocarpa,34.556111,99.901667 +Elaeocarpus borealiyunnanensis,35.86,104.2 +Elaeocarpus brachystachyus,35.86,104.2 +Ephedra minuta,30.05,96.91 +Ephedra rituensis,33.38,79.73 +Agapetes aborensis,35.86,104.2 +Agapetes anonyma,27.9983,98.6194 +Agapetes camelliifolia,29.32,95.33 +Agapetes ciliata,29.32,95.33 +Agapetes leiocarpa,29.32,95.33 +Agapetes leucocarpa,29.32,95.33 +Agapetes linearifolia,29.32,95.33 +Agapetes marginata,29.33,95.33 +Agapetes medogensis,29.32,95.33 +Agapetes mitrarioides,28.17,85.98 +Agapetes praeclara,29.307961,95.359353 +Agapetes salicifolia,35.86,104.2 +Agapetes spissa,29.32,95.33 +Agapetes subsessilifolia,35.86,104.2 +Agapetes xizangensis,29.32483,95.326681 +Cassiope argyrotricha,35.86,104.2 +Cassiope nana,28.48611,98.911543 +Cassiope wardii,29.58,94.97 +Gaultheria brevistipes,28.66,97.46 +Gaultheria heteromera,29.33,95.33 +Gaultheria longiracemosa,30.368117,102.81464 +Gaultheria praticola,35.86,104.2 +Gaultheria prostrata,35.86,104.2 +Gaultheria pseudonotabilis,35.86,104.2 +Gaultheria purpurea,25.67,100.13 +Gaultheria straminea,27.8669,98.3636 +Gaultheria suborbicularis,35.86,104.2 +Gaultheria trigonoclada,24.9353,98.805 +Pyrola markonica,31.905842,102.206261 +Pyrola monophylla,32.98,107.77 +Pyrola sororia,35.86,104.2 +Rhododendron adenogynum,26.876096,100.229945 +Rhododendron adenosum,27.897245,102.265266 +Rhododendron aganniphum,31.87,99.12 +Rhododendron albertsenianum,27.765751,98.603249 +Rhododendron alutaceum,27.753833,98.930417 +Rhododendron amandum,31.712092,88.118532 +Rhododendron amesiae,30.055305,101.96483 +Rhododendron anthopogonoides,36.92,101.32 +Rhododendron asterochnoum,30.055305,101.96483 +Rhododendron auritum,37.76675,119.1813 +Rhododendron balangense,31.08,103.26 +Rhododendron balfourianum,27.928607,101.279419 +Rhododendron bamaense,32.93,100.73 +Rhododendron barkamense,26.4,99.4 +Rhododendron bathyphyllum,28.48611,98.911543 +Rhododendron bijiangense,35.86,104.2 +Rhododendron bonvalotii,28.9406,102.1244 +Rhododendron bulu,29.3,91.98 +Rhododendron calvescens,35.86,104.2 +Rhododendron catacosmum,29.32,95.33 +Rhododendron chamaethomsonii,35.86,104.2 +Rhododendron circinnatum,31.712092,88.118532 +Rhododendron citriniflorum,35.86,104.2 +Rhododendron codonanthum,27.666667,99.15 +Rhododendron comisteum,27.078428,100.256767 +Rhododendron complexum,27.448246,99.822395 +Rhododendron coriaceum,35.86,104.2 +Rhododendron coryanum,35.86,104.2 +Rhododendron crinigerum,35.86,104.2 +Rhododendron cuneatum,26.2,99.3 +Rhododendron danbaense,34.41,106 +Rhododendron dasycladoides,28.15,100.71 +Rhododendron dasypetalum,29.914155,102.234618 +Rhododendron davidsonianum,29.914155,102.234618 +Rhododendron dawuense,29,101.5 +Rhododendron dekatanum,30.350228,95.474417 +Rhododendron dendrocharis,30.066708,102.758313 +Rhododendron dignabile,29.02,93.95 +Rhododendron doshongense,29.5,95 +Rhododendron dumicola,27,99.03333 +Rhododendron elegantulum,27.2822,100.85195 +Rhododendron erastum,28.66,97.46 +Rhododendron erosum,28.2,90.82 +Rhododendron erythrocalyx,28.48611,98.911543 +Rhododendron esetulosum,26.33,99.67 +Rhododendron eudoxum,35.86,104.2 +Rhododendron eurysiphon,28.666667,98.183333 +Rhododendron fastigiatum,29.66666,91.35 +Rhododendron flavantherum,27.078428,100.256767 +Rhododendron flavidum,30.07,101.45 +Rhododendron flavoflorum,35.86,104.2 +Rhododendron fletcherianum,35.86,104.2 +Rhododendron floccigerum,35.86,104.2 +Rhododendron galactinum,30.36,102.81 +Rhododendron gemmiferum,26.71,99.61 +Rhododendron gologense,27.078428,100.256767 +Rhododendron gonggashanense,27.078428,100.256767 +Rhododendron gongshanense,35.86,104.2 +Rhododendron hemidartum,35.86,104.2 +Rhododendron heteroclitum,30.36,102.81 +Rhododendron hillier,32.746389,97.347222 +Rhododendron hippophaeoides,28.3419,99.0661 +Rhododendron hirsutipetiolatum,35.86,104.2 +Rhododendron hirtipes,29.85,95.76 +Rhododendron hoi,29.6,103.48 +Rhododendron hunnewellianum,32.637983,103.59895 +Rhododendron igneum,30.350228,95.474417 +Rhododendron impeditum,30.05,101.96 +Rhododendron intricatum,27.928607,101.279419 +Rhododendron invictum,37.61056,110.035168 +Rhododendron joniense,34.58,103.5 +Rhododendron lanatoides,29.58,94.97 +Rhododendron lanatum,27.48,88.9 +Rhododendron lateriflorum,35.86,104.2 +Rhododendron leptopeplum,27.078428,100.256767 +Rhododendron leucaspis,27.078428,100.256767 +Rhododendron longesquamatum,30.368117,102.81464 +Rhododendron longicalyx,30.14607,122.754403 +Rhododendron luhuoense,30.3,99.28 +Rhododendron lukiangense,35.86,104.2 +Rhododendron lulangense,29.63,94.36 +Rhododendron mainlingense,29.9,94.87 +Rhododendron maowenense,31.084,103.267 +Rhododendron medogense,30.0058,93.9231 +Rhododendron megalanthum,29.32,95.33 +Rhododendron microgynum,35.86,104.2 +Rhododendron mimetes,27.928607,101.279419 +Rhododendron miniatum,30.350228,95.474417 +Rhododendron minyaense,30.07,101.4 +Rhododendron mollicomum,27.45,100.18 +Rhododendron montroseanum,35.86,104.2 +Rhododendron nakotiltum,28.03,98.83 +Rhododendron nigroglandulosum,30.99,102.36 +Rhododendron nitidulum,30.15,101.82 +Rhododendron nyingchiense,29.63,94.36 +Rhododendron odoriferum,39,116 +Rhododendron oreogenum,29.32,95.33 +Rhododendron orthocladum,28.014161,102.842674 +Rhododendron parmulatum,29.32,95.33 +Rhododendron peramoenum,35.86,104.2 +Rhododendron phaeochrysum,27.6297,99.6436 +Rhododendron piercei,29.32,95.33 +Rhododendron pomense,29.6806,95.7021 +Rhododendron populare,31.712092,88.118532 +Rhododendron porphyrophyllum,26.00537,110.599945 +Rhododendron potaninii,27.010278,100.181111 +Rhododendron praestans,35.86,104.2 +Rhododendron principis,29.05,93.93 +Rhododendron pronum,26.4,99.4 +Rhododendron proteoides,28.48611,98.911543 +Rhododendron pudorosum,27.177166,99.28717 +Rhododendron qinghaiense,32.77,96.67 +Rhododendron radendum,30.15,101.82 +Rhododendron ramipilosum,29.32,95.33 +Rhododendron ramsdenianum,29.899222,95.399028 +Rhododendron repens,29.32,95.33 +Rhododendron rhombifolium,35.86,104.2 +Rhododendron rigidum,25.584234,100.222124 +Rhododendron riparioides,27.177166,99.28717 +Rhododendron rufescens,30.93,102.95 +Rhododendron sargentianum,30.066708,102.758313 +Rhododendron schizopeplum,29.6728,96.7781 +Rhododendron scopulorum,29.32,95.33 +Rhododendron selense,35.86,104.2 +Rhododendron semnoides,29.32,95.33 +Rhododendron serpens,29.9,94.87 +Rhododendron setiferum,28.48611,98.911543 +Rhododendron sherriffii,30.350228,95.474417 +Rhododendron shimianense,29.22787,102.359458 +Rhododendron shweliense,25.5,98.966667 +Rhododendron silvaticum,28.17,85.98 +Rhododendron sinonuttallii,35.86,104.2 +Rhododendron souliei,30.055305,101.96483 +Rhododendron sperabiloides,35.86,104.2 +Rhododendron telmateium,30.93,102.95 +Rhododendron temenium,35.86,104.2 +Rhododendron tenuifolium,24.976725,101.487417 +Rhododendron thymifolium,36.92,101.32 +Rhododendron traillianum,28.35861,98.78694 +Rhododendron trichogynum,30.911944,102.546111 +Rhododendron trichostomum,27.928607,101.279419 +Rhododendron tubulosum,32.77,96.67 +Rhododendron uniflorum,29.32,95.33 +Rhododendron uvarifolium,28.48611,98.911543 +Rhododendron vellerrum,27.078428,100.256767 +Rhododendron venator,29.138831,94.211324 +Rhododendron vernicosum,29.98,101.92 +Rhododendron verruciferum,27.078428,100.256767 +Rhododendron viridescens,29.32,95.33 +Rhododendron viscidifolium,31.712092,88.118532 +Rhododendron wardii,29.9,94.88 +Rhododendron wasonii,30.98,102.87 +Rhododendron watsonii,29.914155,102.234618 +Rhododendron websterianum,30.066708,102.758313 +Rhododendron xizangense,29.7547,91.9375 +Rhododendron yungningense,27.25,99.18 +Rhododendron zekoense,31.9536,98.855 +Rhododendron zheguense,31.17,96.63 +Rhododendron zhongdianense,27.82308,99.706013 +Vaccinium kingdon-wardii,29.32,95.33 +Vaccinium papulosum,36.519977,103.891767 +Vaccinium scalarinervium,36.519977,103.891767 +Vaccinium sikkimense,27.7722,98.4464 +Vaccinium spiculatum,18.249731,109.507052 +Vaccinium tenuiflorum,18.75,109.17 +Eriocaulon leianthum,35.86,104.2 +Eriocaulon minusculum,25.519445,109.815 +Eriocaulon rockianum,24.976725,101.487417 +Baliospermum bilobatum,29.32,95.33 +Euphorbia heishuiensis,30.99903,102.364372 +Apios delavayi,35.86,104.2 +Astragalus albido-flavus,30.99,102.36 +Astragalus aridovallicola,38.073254,104.69114 +Astragalus basiflorus,39.71222,75.03639 +Astragalus batangensis,28.13,99.43 +Astragalus brevialatus,27.92,101.27 +Astragalus caeruleopetalinus,27.92,101.27 +Astragalus camptodontoides,27.82308,99.706013 +Astragalus changduensis,32.0803,97.02 +Astragalus changmuicus,28.17,85.98 +Astragalus chilienshanensis,30.0444,101.3081 +Astragalus chiukiangensis,35.86,104.2 +Astragalus cobresiiphilus,28.91,89.6 +Astragalus craibianus,28.48611,98.911543 +Astragalus crassifolius,30.05,101.96 +Astragalus dabanshanicus,38.073254,104.69114 +Astragalus datunensis,36.68,101.27 +Astragalus davidii,30.06,102.75 +Astragalus degensis,27.82308,99.706013 +Astragalus dependens,38.78,101.08 +Astragalus dingjiensis,28.36,87.76 +Astragalus dulungkiangensis,27.740736,98.66582 +Astragalus dumetorum,25.275367,103.003972 +Astragalus ernestii,30.28,99.5 +Astragalus euchlorus,30.07,101.6 +Astragalus fenzelianus,31.0778,96.9478 +Astragalus forrestii,29.1031,99.6319 +Astragalus golmuensis,32.9,95.3 +Astragalus guinanicus,36.28,100.62 +Astragalus habamontis,26.876096,100.229945 +Astragalus handelii,36.97,103.14 +Astragalus hedinii,31.47,79.8 +Astragalus kialensis,29.7372,96.065 +Astragalus kukunoricus,37.32,100.14 +Astragalus lasaensis,28.57,91.44 +Astragalus latiunguiculatus,30.36,102.81 +Astragalus lhorongensis,29.72,98.45 +Astragalus licentianus,35.36,103.7 +Astragalus longilobus,32.63,103.59 +Astragalus longiscapus,28.17,85.98 +Astragalus lucidus,29.85,95.76 +Astragalus luteolus,30.99903,102.364372 +Astragalus mattam,34.1278,97.6578 +Astragalus milingensis,29.63,94.36 +Astragalus minutidentatus,27.48,88.9 +Astragalus monadelphus,36.07,103.75 +Astragalus monbeigii,33.0103,97.1031 +Astragalus muliensis,29.1031,99.6319 +Astragalus neomonadelphus,38.073254,104.69114 +Astragalus orbicularifolius,28.85,90.45 +Astragalus pastorius,28.93,99.79 +Astragalus peterae,36.92,101.32 +Astragalus polycladus,33.8958,99.6806 +Astragalus porphyrocalyx,29.99605,100.269814 +Astragalus prattii,29.1419,99.6497 +Astragalus prodigiosus,27.928607,101.279419 +Astragalus przewalskii,34.5886,100.558 +Astragalus pseudoversicolor,31.62,99.99 +Astragalus pullus,28.48,98.92 +Astragalus retusifoliatus,29.9,94.87 +Astragalus saxorum,31.68115,103.853481 +Astragalus sedaensis,32.268129,100.332738 +Astragalus semicircularis,28.661276,97.466916 +Astragalus skythropos,33.1275,97.4622 +Astragalus smithianus,32.95,94.37 +Astragalus souliei,30.368117,102.81464 +Astragalus sungpanensis,34.4533,100.275 +Astragalus tanguticus,34.6769,100.662 +Astragalus tatsienensis,31.80612,98.580912 +Astragalus tingriensis,28.85,85.29 +Astragalus tongolensis,30.92,102.93 +Astragalus tsataensis,31.47,79.8 +Astragalus tumbatsica,27.82308,99.706013 +Astragalus tungensis,27.92,101.27 +Astragalus turgidocarpus,34.18,105.17 +Astragalus weixiensis,27.18,99.28 +Astragalus wenxianensis,32.95,104.68 +Astragalus xiaojinensis,30.99,102.36 +Astragalus yangtzeanus,26.876096,100.229945 +Astragalus yumenensis,39.2,101.68 +Astragalus zayuensis,29.32,95.33 +Bauhinia bohniana,25.3889,98.8633 +Campylotropis brevifolia,27.42,101.5 +Campylotropis wilsonii,31.08,103.26 +Caragana alpina,28.91,89.6 +Caragana bicolor,28.48611,98.911543 +Caragana brevifolia,32.080278,97.02 +Caragana changduensis,29.67,97.84 +Caragana chinghaiensis,34.6833,100.683 +Caragana crassispina,20.822336,110.577179 +Caragana cuneato-alata,28.42,92.47 +Caragana densa,34.589587,103.507111 +Caragana erinacea,29.28,92.12 +Caragana franchetiana,27.448837,99.823051 +Caragana junatovii,33.85,95.62 +Caragana kozlowii,31.80612,98.580912 +Caragana tangutica,32.0803,97.02 +Chesneya polystichoides,27.794479,99.587593 +Chesneya spinosa,28.91,89.6 +Cochlianthus montanus,22.69,112.22 +Hedysarum algidum,34.5886,100.558 +Hedysarum citrinum,28.48611,98.911543 +Hedysarum fistulosum,28.48611,98.911543 +Hedysarum jinchuanense,30.91,102.54 +Hedysarum limitaneum,35.86,104.2 +Hedysarum longigynophorum,29.88,93.25 +Hedysarum nagarzense,29.08,87.63 +Hedysarum pseudoastragalus,28.48611,98.911543 +Hedysarum tanguticum,28.48611,98.911543 +Hedysarum thiochroum,27.928607,101.279419 +Hedysarum trigonomerum,28.195427,99.962669 +Hedysarum xizangense,29.7547,91.9375 +Indigofera acutipetala,29,101.5 +Indigofera balfouriana,0,0 +Indigofera calcicola,0,0 +Indigofera daochengensis,0,0 +Indigofera dolichochaete,0,0 +Indigofera dumetorum,27.92,101.27 +Indigofera lenticellata,34.544025,95.468786 +Indigofera muliensis,26.68,101.85 +Indigofera rigioclada,30.06,102.75 +Indigofera souliei,30.066708,102.758313 +Indigofera subverticellata,35.86,104.2 +Indigofera szechuensis,30.055305,101.96483 +Indigofera wilsonii,29.85,95.76 +Lespedeza fasciculiflora,24.9936,102.459 +Oxytropis auriculata,38.073254,104.69114 +Oxytropis avisoides,30.05,96.91 +Oxytropis baxoiensis,30.17,97.27 +Oxytropis biflora,36.28,79.98 +Oxytropis brevipedunculata,26.422222,110.5 +Oxytropis densiflora,35.2,102.52 +Oxytropis falcata,29.77,84.03 +Oxytropis gerzeensis,32.3,84.06 +Oxytropis guinanensis,23.18,107.68 +Oxytropis latialata,31.41,95.59 +Oxytropis linearibracteata,31.88,93.78 +Oxytropis longialata,30.65,93.25 +Oxytropis maduoensis,33.37,97.1 +Oxytropis maqinensis,38.18,100.25 +Oxytropis ochrolongibracteata,38.073254,104.69114 +Oxytropis parasericeopetata,38.073254,104.69114 +Oxytropis proboscidea,33.38,79.72 +Oxytropis pseudoncoerulea,38.073254,104.69114 +Oxytropis pusilla,28.7,85.83 +Oxytropis qilianshanica,38.78,101.08 +Oxytropis qinghaiensis,34.3989,100.261 +Oxytropis qingnanensis,32.254167,96.321944 +Oxytropis reniformis,31.07,92.38 +Oxytropis sericopetala,29.65,91.12 +Oxytropis sichuanica,31.7,94.97 +Oxytropis subpodoloba,31.42,95.6 +Oxytropis yunnanensis,33.1272,96.7181 +Phyllolobium camptodontum,27.690106,100.758477 +Phyllolobium enneaphyllum,35.86,104.2 +Phyllolobium flavovirens,27.82308,99.706013 +Phyllolobium lasaense,29.75,91.47 +Phyllolobium pastorium,29.72,98.45 +Piptanthus tomentosus,27.901974,99.638054 +Salweenia wardii,30.0521,96.919504 +Thermopsis smithiana,30.05389,101.95667 +Tibetia forrestii,27.82308,99.706013 +Tibetia tongolensis,27.449234,99.822273 +Tibetia yadongensis,27.1598,101.273 +Tibetia yunnanensis,27.931559,99.614517 +Vicia dichroantha,0,0 +Vicia longicuspis,30.05,101.96 +Vicia nummularia,31.7256,100.744 +Vicia ternata,31.9,102.22 +Cyclobalanopsis kiukiangensis,35.86,104.2 +Cyclobalanopsis motuoensis,29.32,95.33 +Lithocarpus arcaula,24.983333,112.833333 +Lithocarpus obscurus,29.32,95.33 +Lithocarpus pseudoxizangensis,24.983333,112.833333 +Lithocarpus xizangensis,25.869583,99.286111 +Quercus longispica,27.646279,99.270639 +Comastoma cyananthiflorum,30.910683,102.889683 +Comastoma disepalum,27.82308,99.706013 +Comastoma jigzhiense,34.4692,100.393 +Comastoma muliense,30.979541,101.125234 +Comastoma traillianum,27.928607,101.279419 +Crawfurdia crawfurdioides,35.86,104.2 +Crawfurdia delavayi,35.86,104.2 +Crawfurdia lobatilimba,35.86,104.2 +Crawfurdia nyingchiensis,35.86,104.2 +Crawfurdia semialata,35.86,104.2 +Crawfurdia sessiliflora,25.405097,110.440546 +Crawfurdia sinkuensis,35.86,104.2 +Gentiana abaensis,46.52,89.47 +Gentiana alsinoides,27.7942,98.5867 +Gentiana altorum,32.635633,103.602167 +Gentiana anisostemon,24.976725,101.487417 +Gentiana aperta,36.63,101.2 +Gentiana arethusae,31.370137,109.629918 +Gentiana aristata,34.725278,100.719444 +Gentiana asparagoides,35.86,104.2 +Gentiana atropurpurea,28.48611,98.911543 +Gentiana atuntsiensis,30.0403,101.838 +Gentiana baoxingensis,30.368117,102.81464 +Gentiana bomiensis,29.85,95.76 +Gentiana caeruleogrisea,34.3575,100.256 +Gentiana choanantha,36.519977,103.891767 +Gentiana chungtienensis,26.993605,100.194519 +Gentiana clarkei,35.3558,99.1339 +Gentiana conduplicata,28.93,99.79 +Gentiana crassula,30.47,91.09 +Gentiana crenulatotruncata,32.3169,96.6267 +Gentiana cristata,26.876096,100.229945 +Gentiana curvianthera,30.979541,101.125234 +Gentiana curviphylla,36.519977,103.891767 +Gentiana daochengensis,29.160369,103.148639 +Gentiana deltoidea,27.928607,101.279419 +Gentiana dendrologi,30.3448,101.595083 +Gentiana divaricata,29.22,102.35 +Gentiana dolichocalyx,32.27,96.22 +Gentiana doxiongshanensis,27.8333,99.6667 +Gentiana ecaudata,35.86,104.2 +Gentiana erectosepala,28.66,97.46 +Gentiana flexicaulis,36.519977,103.891767 +Gentiana formosa,35.86,104.2 +Gentiana forrestii,35.86,104.2 +Gentiana futtereri,32.27,96.22 +Gentiana georgei,35.86,104.2 +Gentiana grumii,36.89,100.99 +Gentiana haynaldii,30.3,91.52 +Gentiana heleonastes,34.3575,100.255556 +Gentiana helophila,26.876096,100.229945 +Gentiana hirsuta,30.368117,102.81464 +Gentiana inconspicua,32.44,104.55 +Gentiana intricata,26.876096,100.229945 +Gentiana lacinulata,29.85,95.76 +Gentiana lawrencei,34.079133,102.621717 +Gentiana lhassica,29.88,93.24 +Gentiana linoides,26.56023,100.17643 +Gentiana ludingensis,29.91,102.23 +Gentiana microdonta,29.62,94.58 +Gentiana namlaensis,31.712092,88.118532 +Gentiana nanobella,36.519977,103.891767 +Gentiana ninglangensis,27.2822,100.85195 +Gentiana nyingchiensis,29.63,94.36 +Gentiana otophoroides,35.86,104.2 +Gentiana picta,25.275367,103.003972 +Gentiana praeclara,27.928607,101.279419 +Gentiana prattii,33.3769,100.29 +Gentiana producta,34.48,100.23 +Gentiana pseudosquarrosa,36.519977,103.891767 +Gentiana pudica,36.519977,103.891767 +Gentiana purdomii,31.15,97.45 +Gentiana qiujiangensis,35.86,104.2 +Gentiana radiata,27.82308,99.706013 +Gentiana scabrifilamenta,29.85,95.76 +Gentiana souliei,27.031167,100.179517 +Gentiana spathulifolia,32.635633,103.613133 +Gentiana stellata,27.82308,99.706013 +Gentiana stellulata,27.82308,99.706013 +Gentiana stragulata,34.15,107.84 +Gentiana striata,33.26,104.23 +Gentiana striolata,29.037008,100.298406 +Gentiana subintricata,27.82308,99.706013 +Gentiana subuliformis,28.66,97.46 +Gentiana subuniflora,27.533333,99.866667 +Gentiana syringea,37.36,97.36 +Gentiana szechenyii,30.055305,101.96483 +Gentiana tatsienensis,31.712092,88.118532 +Gentiana tetraphylla,32.741867,103.7375 +Gentiana tongolensis,28.89833,100.28139 +Gentiana trichotoma,34.75,99.67 +Gentiana tricolor,34.635556,100.243611 +Gentiana viatrix,30.05,101.96 +Gentiana waltonii,29.65,91.05 +Gentiana wasenensis,29.91,102.23 +Gentiana winchuanensis,31.084,103.267 +Gentiana zekuensis,32.796667,97.2775 +Gentianella anomala,30.055305,101.96483 +Gentianella arenaria,29.77,84.03 +Lomatogoniopsis alpina,32.77,96.67 +Lomatogoniopsis galeiformis,28,91.95 +Lomatogoniopsis ovatifolia,28,91.95 +Lomatogonium lijiangense,28.014161,102.842674 +Lomatogonium longifolium,35.86,104.2 +Lomatogonium macranthum,35.0106,98.8661 +Lomatogonium oreocharis,26.876096,100.229945 +Lomatogonium perenne,28.484444,98.948889 +Swertia alba,27.82308,99.706013 +Swertia calycina,26.876096,100.229945 +Swertia conaensis,28,91.95 +Swertia delavayi,27.82308,99.706013 +Swertia divaricata,35.86,104.2 +Swertia elata,30.05,101.96 +Swertia endotricha,28.93,99.8 +Swertia fasciculata,28.48611,98.911543 +Swertia forrestii,27.795,99.59361 +Swertia franchetiana,34.683333,100.683333 +Swertia gyacaensis,29.14,92.59 +Swertia handeliana,35.86,104.2 +Swertia mussoti,37.33,100.13 +Swertia patula,26.088547,103.176727 +Swertia pianmaensis,35.86,104.2 +Swertia przewalskii,31.13,97.18 +Swertia rotundiglandula,25.13,113.35 +Swertia scapiformis,30.055305,101.96483 +Swertia souliei,36.52,103.89167 +Swertia splendens,31.712092,88.118532 +Swertia tenuis,35.86,104.2 +Swertia tetraptera,32.752778,97.214722 +Swertia tibetica,30.910683,102.889683 +Swertia verticillifolia,28,91.95 +Swertia zayuensis,26.0189,98.6256 +Geranium farreri,28.48611,98.911543 +Geranium hispidissimum,25.4856,100.5505 +Geranium moupinense,29.22,102.35 +Geranium napuligerum,35.86,104.2 +Geranium pogonanthum,27.624142,99.641319 +Geranium rubifolium,27.48,88.9 +Geranium umbelliforme,27.0983,100.175 +Geranium yunnanense,35.86,104.2 +Aeschynanthus angustissimus,29.32,95.33 +Aeschynanthus dolichanthus,29.32,95.33 +Aeschynanthus lasianthus,24.830948,98.768257 +Aeschynanthus lasiocalyx,0,0 +Aeschynanthus medogensis,29.32,95.33 +Aeschynanthus tenuis,29.32,95.33 +Briggsia aurantiaca,28.42,92.47 +Chirita infundibuliformis,0,0 +Didymocarpus medogensis,29.32,95.33 +Didymocarpus zhufengensis,0,0 +Loxostigma mekongense,28.0339,98.3175 +Lysionotus gamosepalus,28.66,97.46 +Lysionotus metuoensis,29.32,95.33 +Lysionotus sulphureus,35.86,104.2 +Oreocharis cinnamomea,36.519977,103.891767 +Oreocharis cordatula,29.000343,101.507299 +Oreocharis delavayi,35.86,104.2 +Oreocharis eximia,36.519977,103.891767 +Oreocharis forrestii,0,0 +Oreocharis georgei,27.928607,101.279419 +Oreocharis glandulosa,36.519977,103.891767 +Oreocharis leucantha,35.86,104.2 +Oreocharis minor,29.000343,101.507299 +Oreocharis primuliflora,30.05,101.96 +Oreocharis sichuanica,30.91,102.54 +Oreocharis urceolata,27.93,101.28 +Whytockia gongshanensis,35.86,104.2 +Petrocosmea flaccida,27.928607,101.279419 +Ribes glabricalycinum,35.86,104.2 +Ribes humile,31.95,102.65 +Ribes kialanum,31.82,108.62 +Ribes pseudofasciculatum,31.08,96.97 +Ribes setchuense,31.68115,103.853481 +Ribes soulieanum,28.85,85.29 +Ribes tianquanense,30.06,102.75 +Ribes xizangense,28.661276,97.466916 +Corylopsis glaucescens,28.0236,98.5939 +Corylopsis trabeculosa,27.7386,98.3489 +Corylopsis yui,27.713333,98.571667 +Deutzia bomiensis,29.85,95.76 +Deutzia crassidentata,27.42,101.5 +Deutzia glaucophylla,29.157849,107.099276 +Deutzia heterophylla,40.61333,117.38194 +Deutzia monbeigii,35.86,104.2 +Deutzia muliensis,27.928607,101.279419 +Deutzia obtusilobata,29.13,121.03 +Deutzia subulata,28.300556,98.830833 +Deutzia yunnanensis,27.82308,99.706013 +Deutzia zhongdianensis,29.1031,99.6319 +Dichroa yunnanensis,35.86,104.2 +Hydrangea dumicola,35.86,104.2 +Philadelphus lushuiensis,35.86,104.2 +Philadelphus purpurascens,27.080662,100.261261 +Philadelphus tetragonus,32.42,104.53 +Schizophragma crassum,27.7072,98.5447 +Schizophragma megalocarpum,30.066708,102.758313 +Hypericum maclarenii,29.22,102.35 +Iris barbatula,27.623611,99.762778 +Iris cuniculiformis,27.44879,99.823021 +Iris delavayi,35.86,104.2 +Iris farreri,32.666667,103.583333 +Iris latistyla,29.65,91.12 +Iris leptophylla,30.05,101.96 +Iris narcissiflora,30.14,101.86 +Iris qinghainica,33.481699,102.468831 +Iris subdichotoma,27.82308,99.706013 +Itea kiukiangensis,35.86,104.2 +Juncus giganteus,38.24,101.96 +Juncus kangpuensis,46.45,122.93 +Juncus longistamineus,35.86,104.2 +Juncus milashanensis,34.648889,100.610556 +Juncus nigroviolaceus,28,91.95 +Juncus tibeticus,29.7786,94.7247 +Juncus unifolius,29.63,94.36 +Luzula bomiensis,29.85,95.76 +Luzula jilongensis,27.177166,99.28717 +Luzula sichuanensis,31.883333,102.716667 +Ajuga campylanthoides,29.85,95.76 +Ajuga nubigena,27.928607,101.279419 +Ajuga ovalifolia,30.08333,102.06667 +Ajuga sciaphila,27.422643,101.509187 +Caryopteris glutinosa,30.91,102.54 +Caryopteris trichosphaera,32.1208,97.035 +Chelonopsis albiflora,28.38,92.7 +Chelonopsis bracteata,36.519977,103.891767 +Chelonopsis pseudobracteata,27.82308,99.706013 +Chelonopsis souliei,30.2117,99.3031 +Clerodendrum tibetanum,25.086828,104.895897 +Clinopodium discolor,29.85,95.76 +Colquhounia compta,26.876096,100.229945 +Dracocephalum breviflorum,29.671778,115.989221 +Dracocephalum bullatum,26.876096,100.229945 +Dracocephalum calophyllum,28.58,92.5 +Dracocephalum forrestii,29.7008,91.4303 +Dracocephalum imbricatum,27.82308,99.706013 +Dracocephalum isabellae,27.82308,99.706013 +Dracocephalum microflorum,26.56023,100.17643 +Dracocephalum propinquum,27.93,101.28 +Dracocephalum purdomii,35.84,104.11 +Dracocephalum tanguticum,28.7742,86.2194 +Dracocephalum velutinum,27.82308,99.706013 +Dracocephalum wallichii,28.54,102.17 +Elsholtzia capituligera,31.13,97.18 +Elsholtzia cephalantha,32.783333,103.266667 +Elsholtzia ochroleuca,36.52,103.89167 +Elsholtzia pygmaea,26.908457,102.930168 +Elsholtzia souliei,31.5344,100.702 +Isodon adenolomus,26.666667,99.666667 +Isodon albopilosus,32.95,104.68 +Isodon barbeyanus,30.055305,101.96483 +Isodon calcicolus,25.166111,116.193611 +Isodon dawoensis,31.5344,100.702 +Isodon flabelliformis,29.0447,99.7114 +Isodon flexicaulis,25.166111,116.193611 +Isodon forrestii,24.976725,101.487417 +Isodon gesneroides,25.166111,116.193611 +Isodon glutinosus,26.22,104.1 +Isodon grandifolius,24.976725,101.487417 +Isodon irroratus,28.42,98.97 +Isodon leucophyllus,36.519977,103.891767 +Isodon lihsienensis,30.91,102.54 +Isodon loxothyrsus,25.399164,98.829727 +Isodon medilungensis,27.92,101.27 +Isodon megathyrsus,28.019167,98.533611 +Isodon mucronatus,25.166111,116.193611 +Isodon muliensis,27.928607,101.279419 +Isodon oresbius,30.055305,101.96483 +Isodon pharicus,29.0447,99.7114 +Isodon phyllopodus,27.402909,102.17533 +Isodon phyllostachys,26.98,100.23 +Isodon pleiophyllus,29.83,91.73 +Isodon rugosiformis,27.7408,98.66 +Isodon scoparius,27.35361,100.16111 +Isodon secundiflorus,27.92,101.27 +Isodon silvaticus,25.166111,116.193611 +Isodon smithianus,29.03,93.15 +Isodon tenuifolius,32.637983,103.59895 +Isodon wardii,28.95,93.22 +Isodon weisiensis,30.8503,101.277 +Isodon wikstroemioides,29.08,93.08 +Isodon yuennanensis,27.696857,103.248771 +Leonurus urticifolius,43.15,81.13 +Lophanthus tibeticus,32.05,118.79 +Marmoritis complanatum,28.8164,99.2158 +Marmoritis decolorans,31.4169,96.6917 +Marmoritis nivalis,31.712092,88.118532 +Melissa yunnanensis,29.32,95.33 +Micromeria barosma,26.876096,100.229945 +Micromeria euosma,26.876096,100.229945 +Micromeria wardii,29.85,95.76 +Microtoena muliensis,35.86,104.2 +Nepeta coerulescens,33.1094,97.4483 +Nepeta dentata,31.24,97.28 +Nepeta hemsleyana,29.68,91.13 +Nepeta jomdaensis,30.8503,101.277 +Nepeta membranifolia,29.1025,99.6708 +Nepeta sessilis,27.82308,99.706013 +Nepeta souliei,29.25,94.25 +Nepeta stewartiana,40.5,117.09 +Nepeta sungpanensis,33.26,104.23 +Nepeta taxkorganica,37.77,75.22 +Nepeta tenuiflora,26.876096,100.229945 +Nepeta veitchii,31.725,100.744 +Nepeta wilsonii,28.48611,98.911543 +Nepeta yanthina,33.38,79.73 +Nepeta zandaensis,30.29,81.17 +Notochaete longiaristata,35.86,104.2 +Phlomoides ambigua,27.18,99.28 +Phlomoides atropurpurea,27.63,99.75 +Phlomoides betonicoides,29.58,94.92 +Phlomoides brevidentata,29.7008,91.4303 +Phlomoides cuneata,29.29,87.23 +Phlomoides fimbriata,35.86,104.2 +Phlomoides forrestii,29.58,94.73 +Phlomoides kansuensis,36.584828,100.494247 +Phlomoides likiangensis,29.1411,99.9283 +Phlomoides longicalyx,27.177166,99.28717 +Phlomoides medicinalis,31.49,98.21 +Phlomoides melanantha,35.86,104.2 +Phlomoides milingensis,29.22,94.22 +Phlomoides muliensis,29.63,94.36 +Phlomoides nana,38.073254,104.69114 +Phlomoides nyalamensis,28.65,87.12 +Phlomoides paohsingensis,30.368117,102.81464 +Phlomoides pararotata,35.86,104.2 +Phlomoides pygmaea,28.36,87.76 +Phlomoides ruptilis,25.7,100.117 +Phlomoides setifera,30.83333,101.33333 +Phlomoides strigosa,26.56023,100.17643 +Phlomoides szechuanensis,32.584256,105.238187 +Phlomoides tatsienensis,29.6114,102.1 +Phlomoides tibetica,29.25,94 +Phlomoides younghusbandii,31.82,93.57 +Pogostemon dielsianus,35.86,104.2 +Pogostemon hispidocalyx,27.6894,98.2767 +Premna oligantha,28.71,99.28 +Premna yunnanensis,29.914155,102.234618 +Salvia alatipetiolata,25.6,110.58 +Salvia atrorubra,26.876096,100.229945 +Salvia bifidocalyx,27.82308,99.706013 +Salvia brachyloma,27.928607,101.279419 +Salvia brevilabra,30.05,101.96 +Salvia bulleyana,27.776762,99.598579 +Salvia cyclostegia,35.86,104.2 +Salvia cynica,30.06,102.75 +Salvia evansiana,28.54,102.17 +Salvia flava,40.02,116.21 +Salvia grandifolia,36.519977,103.891767 +Salvia handelii,29,101.5 +Salvia heterochroa,27.740736,98.66582 +Salvia hylocharis,26.876096,100.229945 +Salvia kiaometiensis,27.37,102.53 +Salvia mekongensis,35.86,104.2 +Salvia pauciflora,27.82308,99.706013 +Salvia pogonochila,38.073254,104.69114 +Salvia prattii,31.833825,96.485621 +Salvia schizochila,27.928607,101.279419 +Salvia smithii,30.055305,101.96483 +Salvia subpalmatinervis,29,101.5 +Salvia trijuga,27.18,100.03 +Salvia wardii,31.87,99.12 +Scutellaria chungtienensis,27.82308,99.706013 +Scutellaria forrestii,26.993382,100.194412 +Scutellaria hypericifolia,30.06,102.75 +Scutellaria kingiana,28.36,87.76 +Scutellaria likiangensis,27.4758,99.8842 +Scutellaria nigricans,33.26,104.23 +Scutellaria spectabilis,32.95,104.68 +Vitex yunnanensis,28.7433,101.681 +Holboellia medogensis,29.326875,95.328655 +Beilschmiedia xizangensis,29.32,95.33 +Cinnamomum contractum,27.82308,99.706013 +Lindera kariensis,35.86,104.2 +Lindera longipedunculata,35.86,104.2 +Lindera motuoensis,29.3253,95.333197 +Lindera tienchuanensis,31.084,103.267 +Lindera villipes,29.32,95.33 +Litsea biflora,29.32,95.33 +Litsea chengshuzhii,26.466667,111.316667 +Litsea coelestis,29.32,95.33 +Litsea depressa,26.466667,111.316667 +Litsea gongshanensis,35.86,104.2 +Litsea liboshengii,26.466667,111.316667 +Litsea mishmiensis,26.466667,111.316667 +Litsea taronensis,35.86,104.2 +Litsea tibetana,29.32,95.33 +Machilus chayuensis,28.66,97.46 +Machilus gongshanensis,35.86,104.2 +Machilus obscurinervis,29.32,95.33 +Machilus ovatiloba,26.466667,111.316667 +Neocinnamomum mekongense,35.86,104.2 +Phoebe motuonan,29.33,95.33 +Fritillaria crassicaulis,27.82308,99.706013 +Fritillaria dajinensis,32.97,98.1 +Fritillaria fusca,31.712092,88.118532 +Fritillaria przewalskii,34.04,104.39 +Fritillaria sichuanica,30.996299,103.612264 +Fritillaria sinica,29.914155,102.234618 +Fritillaria unibracteata,32.637983,103.59895 +Lilium brevistylum,28.67,97.47 +Lilium duchartrei,30.71,101.75 +Lilium habaense,27.82308,99.706013 +Lilium henrici,26.32,116.34 +Lilium lankongense,27.8358,100.109 +Lilium lijiangense,26.876096,100.229945 +Lilium lophophorum,29.3858,100.149 +Lilium matangense,31.9,102.22 +Lilium paradoxum,31.712092,88.118532 +Lilium pinifolium,26.890689,102.110335 +Lilium regale,36,104 +Lilium saccatum,29.22,94.22 +Lilium souliei,27.624502,99.643692 +Lilium stewartianum,27.82308,99.706013 +Lilium taliense,27.4758,99.8842 +Lilium wardii,29.9719,95.3647 +LiLium xanthellum,29.1411,99.9283 +Lloydia ixiolirioides,29.914155,102.234618 +Lloydia oxycarpa,29.6131,94.6531 +Nomocharis meleagrina,35.86,104.2 +Nomocharis pardanthina,27.42,101.5 +Streptopus parviflorus,29.22,102.35 +Hiptage yunnanensis,35.86,104.2 +Abutilon paniculatum,27.42,101.5 +Hibiscus aridicola,26.683211,101.855074 +Tilia callidonta,27.82308,99.706013 +Tilia likiangensis,26.876096,100.229945 +Paris dulongensis,27.7114,98.3481 +Dysoxylum medogense,29.33,95.33 +Stephania brevipedunculata,28.17,85.98 +Artocarpus gongshanensis,35.86,104.2 +Syzygium xizangense,29.32,95.33 +Commicarpus lantsangensis,27.32,100.24 +Forsythia likiangensis,27.928607,101.279419 +Jasminum stephanense,30.05,101.96 +Olea laxiflora,27.7242,98.3647 +Syringa mairei,28.48611,98.911543 +Syringa pinetorum,27.82308,99.706013 +Syringa sweginzowii,31.5119,100.696 +Syringa tibetica,29.8727,95.7297 +Syringa tomentella,28.66,97.46 +Syringa wardii,28.48611,98.911543 +Syringa yunnanensis,35.86,104.2 +Epilobium kingdonii,28.5939,99.8469 +Amitostigma farreri,27.6961,98.4553 +Amitostigma papilionaceum,32.637983,103.59895 +Amitostigma physoceras,32.4,103.533333 +Amitostigma simplex,30.05,101.96 +Amitostigma tibeticum,29.1,99.6922 +Amitostigma trifurcatum,35.86,104.2 +Amitostigma yuanum,35.86,104.2 +Androcorys oxysepalus,34.3342,100.509 +Androcorys spiralis,35.86,104.2 +Bulbophyllum bomiense,28.85,85.29 +Calanthe dulongensis,35.86,104.2 +Calanthe ecarinata,30.06,102.75 +Cleisostoma medogense,29.32,95.33 +Coelogyne gongshanensis,35.86,104.2 +Cypripedium bardolphianum,32.63,103.59 +Cypripedium farreri,25.841921,98.857727 +Cypripedium forrestii,36.519977,103.891767 +Cypripedium lichiangense,35.86,104.2 +Cypripedium ludlowii,27.6961,98.4553 +Cypripedium margaritaceum,27.128349,100.232254 +Cypripedium sichuanense,31.08,103.26 +Cypripedium subtropicum,29.32,95.33 +Cypripedium wardii,28.48611,98.911543 +Cypripedium yunnanense,26.938499,100.208699 +Eria gracilicauis,23.309211,114.001442 +Eria tenuicaulis,29.32,95.33 +Galearis wardii,29.7786,94.7247 +Gastrochilus gongshanensis,27.583334,98.78333 +Gastrodia angusta,28.6398,102.507677 +Goodyera yunnanensis,28.479722,98.948611 +Gymnadenia bicornis,29.33,95.33 +Gymnadenia crassinervis,29.22,94.22 +Habenaria acianthoides,32.94,104.68 +Habenaria balfouriana,27.42,101.5 +Habenaria diplonema,26.876096,100.229945 +Habenaria mairei,35.86,104.2 +Habenaria szechuanica,32.666667,103.583333 +Habenaria tibetica,28.661276,97.466916 +Habenaria wolongensis,31.08,103.26 +Herminium carnosilabre,35.86,104.2 +Herminium chloranthum,30.05,101.96 +Herminium ecalcaratum,25.8333,99.9833 +Herminium glossophyllum,30.05,101.96 +Liparis cheniana,29.496119,103.398589 +Neottia megalochila,30.05,101.96 +Neottianthe camptoceras,25.116213,99.162598 +Neottianthe compacta,35.86,104.2 +Neottianthe oblonga,35.86,104.2 +Neottianthe ovata,35.86,104.2 +Oreorchis angustata,27.93231,99.614166 +Oreorchis erythrochrysea,27.93231,99.614166 +Oreorchis nana,33.046791,103.933665 +Oreorchis parvula,28.27,103.57 +Papilionanthe uniflora,29.32,95.33 +Peristylus jinchuanicus,27.92,101.27 +Peristylus neotineoides,30.05,101.96 +Platanthera chiloglossa,35.86,104.2 +Platanthera contigua,35.86,104.2 +Platanthera herminioides,35.86,104.2 +Platanthera likiangensis,26.876096,100.229945 +Platanthera oreophila,35.86,104.2 +Platanthera sinica,35.86,104.2 +Platanthera stenophylla,35.86,104.2 +Ponerorchis chrysea,29.9,94.87 +Smithorchis calceoliformis,35.86,104.2 +Hemipilia forrestii,35.86,104.2 +Mannagettaea labiata,29.914155,102.234618 +Orobanche megalantha,36.519977,103.891767 +Orobanche mupinensis,30.368117,102.81464 +Orobanche sinensis,32.27,96.22 +Pedicularis aloensis,27.177166,99.28717 +Pedicularis altifrontalis,28.66,97.46 +Pedicularis anas,28.385,98.78583 +Pedicularis angularis,33.04549,102.89513 +Pedicularis angustilabris,26.876096,100.229945 +Pedicularis angustiloba,29.58,94.98 +Pedicularis anomala,29.85,95.76 +Pedicularis armata,28.48611,98.911543 +Pedicularis aschistorhyncha,35.86,104.2 +Pedicularis atroviridis,31.712092,88.118532 +Pedicularis atuntsiensis,31.7061,102.314 +Pedicularis aurata,35.86,104.2 +Pedicularis axillaris,35.86,104.2 +Pedicularis batangensis,31.68115,103.853481 +Pedicularis bidentata,32.322417,102.455417 +Pedicularis bietii,31.95,102.65 +Pedicularis bomiensis,29.85,95.76 +Pedicularis brachycrania,35.86,104.2 +Pedicularis brevilabris,29.58,94.92 +Pedicularis cephalantha,35.86,104.2 +Pedicularis cernua,26.901731,98.869207 +Pedicularis chenocephala,34.460556,100.401667 +Pedicularis chingii,35.86,104.2 +Pedicularis cinerascens,29.3342,101.499 +Pedicularis connata,28.85,85.29 +Pedicularis corydaloides,35.86,104.2 +Pedicularis corymbifera,29.85,95.76 +Pedicularis cranolopha,31.4,95.63 +Pedicularis craspedotricha,33.78,104.37 +Pedicularis cristatella,32.2808,96.4631 +Pedicularis croizatiana,30.2186,99.2294 +Pedicularis cyathophylla,29.98,100.88 +Pedicularis cyathophylloides,29.000343,101.507299 +Pedicularis cyclorhyncha,26.876096,100.229945 +Pedicularis cymbalaria,28.48611,98.911543 +Pedicularis daochengensis,29.1419,99.6497 +Pedicularis daucifolia,32.746389,97.347222 +Pedicularis decorissima,31.72,100.719 +Pedicularis deltoidea,26.901731,98.869207 +Pedicularis densispica,27.90126,99.638008 +Pedicularis dichotoma,28.13,99.43 +Pedicularis dichrocephala,25.275367,103.003972 +Pedicularis dolichocymba,28.5733,99.8117 +Pedicularis dolichoglossa,27.42,101.5 +Pedicularis dolichostachya,25.104264,107.509707 +Pedicularis duclouxii,28.661276,97.466916 +Pedicularis dulongensis,35.86,104.2 +Pedicularis dunniana,31.269611,102.595783 +Pedicularis elliotii,28.48611,98.911543 +Pedicularis fastigiata,27.82308,99.706013 +Pedicularis fengii,27.92,101.27 +Pedicularis filicula,27.82308,99.706013 +Pedicularis flaccida,29.000343,101.507299 +Pedicularis floribunda,31.8,98.58 +Pedicularis forrestiana,26.8,100.2667 +Pedicularis fragarioides,30.63,93.2 +Pedicularis franchetiana,30.055305,101.96483 +Pedicularis galeata,28.48611,98.911543 +Pedicularis geosiphon,27.928607,101.279419 +Pedicularis glabrescens,35.86,104.2 +Pedicularis gongshanensis,35.86,104.2 +Pedicularis gracilicaulis,35.86,104.2 +Pedicularis gracilituba,27.82308,99.706013 +Pedicularis gyirongensis,28.85,85.29 +Pedicularis gyrorhyncha,35.86,104.2 +Pedicularis habachanensis,24.976725,101.487417 +Pedicularis hemsleyana,29.67,102.62 +Pedicularis hirtella,26.56023,100.17643 +Pedicularis humilis,35.86,104.2 +Pedicularis inaequilobata,28.93,99.79 +Pedicularis infirma,28.576389,99.85 +Pedicularis ingens,28.93,99.79 +Pedicularis insignis,28.48611,98.911543 +Pedicularis kangtingensis,30.05,101.96 +Pedicularis kansuensis,36.584828,100.494247 +Pedicularis kariensis,33,97.02 +Pedicularis kialensis,28.5,101.17 +Pedicularis kongboensis,29.05,93.98 +Pedicularis lamioides,35.86,104.2 +Pedicularis lanpingensis,26.453601,99.416689 +Pedicularis lasiophrys,31.95,102.65 +Pedicularis latirostris,35.20256,102.521732 +Pedicularis latituba,29.99,100.26 +Pedicularis laxiflora,29.22,102.35 +Pedicularis laxispica,27.82308,99.706013 +Pedicularis leptosiphon,28.93,99.79 +Pedicularis likiangensis,35.86,104.2 +Pedicularis lingelsheimiana,28.93,99.79 +Pedicularis longicalyx,29.63,94.36 +Pedicularis longipes,30.979541,101.125234 +Pedicularis longipetiolata,35.86,104.2 +Pedicularis longistipitata,31.875278,96.523611 +Pedicularis lophotricha,28.71,99.28 +Pedicularis macrorhyncha,27.82308,99.706013 +Pedicularis macrosiphon,31.95,102.65 +Pedicularis maxonii,30.37,102.82 +Pedicularis mayana,27.177166,99.28717 +Pedicularis melampyriflora,32.071667,97.045278 +Pedicularis membranacea,30.368117,102.81464 +Pedicularis metaszetschuanica,31.7061,102.314 +Pedicularis meteororhyncha,35.86,104.2 +Pedicularis micrantha,35.86,104.2 +Pedicularis minima,31.48,102.07 +Pedicularis minutilabris,32.2089,102.6164 +Pedicularis monbeigiana,35.86,104.2 +Pedicularis moupinensis,28.94,102.249 +Pedicularis muscoides,29.07,87.57 +Pedicularis mussotii,29.2189,101.516 +Pedicularis mychophila,29.03,92.33 +Pedicularis neolatituba,31.48,102.07 +Pedicularis nyalamensis,30.29,81.17 +Pedicularis nyingchiensis,29.63,94.4 +Pedicularis obscura,35.86,104.2 +Pedicularis oliveriana,29.73797,103.231884 +Pedicularis orthocoryne,24.976725,101.487417 +Pedicularis paiana,30.99,102.36 +Pedicularis paxiana,31.1661,97.3006 +Pedicularis pectinatiformis,33.000556,97.328889 +Pedicularis pentagona,27.82308,99.706013 +Pedicularis petitmenginii,31.9297,102.657 +Pedicularis pheulpinii,34.4692,100.393 +Pedicularis pilostachya,31.0778,96.9478 +Pedicularis pinetorum,24.58669,98.689166 +Pedicularis plicata,28.48611,98.911543 +Pedicularis polyodonta,30.055305,101.96483 +Pedicularis praeruptorum,35.86,104.2 +Pedicularis princeps,30.368117,102.81464 +Pedicularis przewalskii,35.420833,99.466944 +Pedicularis pseudocephalantha,28.48611,98.911543 +Pedicularis pseudocurvituba,37.33,100.13 +Pedicularis pseudoingens,28.48611,98.911543 +Pedicularis pseudomelampyriflora,32.918333,97.3275 +Pedicularis pseudomuscicola,29.16,107.1 +Pedicularis pseudosteiningeri,28.932073,99.79929 +Pedicularis pygmaea,34.92,98.18 +Pedicularis quxiangensis,35.86,104.2 +Pedicularis recurva,30.055305,101.96483 +Pedicularis remotiloba,35.86,104.2 +Pedicularis reptans,31.712092,88.118532 +Pedicularis retingensis,31.712092,88.118532 +Pedicularis rhizomatosa,31.712092,88.118532 +Pedicularis rhodotricha,29.037008,100.298406 +Pedicularis rhynchodonta,29.037008,100.298406 +Pedicularis rhynchotricha,30.005,93.968 +Pedicularis rizhaoensis,28.93,99.79 +Pedicularis roborowskii,36.63,101.2 +Pedicularis ruoergaiensis,33.58,102.95 +Pedicularis rupicola,28.479722,98.948611 +Pedicularis salicifolia,43.753,128.163 +Pedicularis scolopax,32.927222,97.266667 +Pedicularis semitorta,34.72,104.89 +Pedicularis sherriffii,31.712092,88.118532 +Pedicularis sima,31.13,97.18 +Pedicularis smithiana,29.2189,101.516 +Pedicularis sorbifolia,43.18,126.547 +Pedicularis souliei,31.725,100.744 +Pedicularis sphaerantha,29.58,94.97 +Pedicularis steiningeri,30.0636,100.771 +Pedicularis stenocorys,30.055305,101.96483 +Pedicularis stenotheca,31.712092,88.118532 +Pedicularis streptorhyncha,30.93,102.95 +Pedicularis stylosa,28.17,85.98 +Pedicularis subulatidens,31.712092,88.118532 +Pedicularis superba,27.82308,99.706013 +Pedicularis szetschuanica,34.75,100.22 +Pedicularis takpoensis,31.712092,88.118532 +Pedicularis taliensis,25.584234,100.222124 +Pedicularis tapaoensis,30.055305,101.96483 +Pedicularis tatsienensis,28.573056,99.813889 +Pedicularis tayloriana,31.712092,88.118532 +Pedicularis tenacifolia,31.712092,88.118532 +Pedicularis tenera,30.055305,101.96483 +Pedicularis tenuituba,31.87,99.12 +Pedicularis thamnophila,27.82308,99.706013 +Pedicularis tibetica,30.025,101.387 +Pedicularis tomentosa,35.86,104.2 +Pedicularis tongolensis,31.8,92.8283 +Pedicularis triangularidens,30.368117,102.81464 +Pedicularis trichocymba,30.1711,97.3336 +Pedicularis trichomata,31.5,98.22 +Pedicularis tricolor,32.5819,100.463 +Pedicularis tsaii,26.901731,98.869207 +Pedicularis tsarungensis,31.712092,88.118532 +Pedicularis umbelliformis,27.82308,99.706013 +Pedicularis urceolata,30.055305,101.96483 +Pedicularis variegata,27.92,101.27 +Pedicularis wardii,27.099444,98.872222 +Pedicularis weixiensis,27.177166,99.28717 +Pedicularis wilsonii,26.56023,100.17643 +Pedicularis xiangchengensis,28.93,99.79 +Pedicularis yanyuanensis,27.42,101.5 +Pedicularis yui,35.86,104.2 +Pedicularis yunnanensis,25.7,100.083 +Pedicularis zayuensis,28.66,97.46 +Pedicularis zhongdianensis,27.82308,99.706013 +Pterygiella suffruticosa,27.92,101.27 +Paeonia decomposita,30.05,101.96 +Paeonia delavayi,35.86,104.2 +Paeonia ludlowii,28.356141,99.073041 +Paeonia sterniana,31.712092,88.118532 +Corydalis acropteryx,32.58333,103.83333 +Corydalis adoxifolia,29.037008,100.298406 +Corydalis appendiculata,28.932073,99.79929 +Corydalis atuntsuensis,29.7108,98.0025 +Corydalis balsamiflora,30.066708,102.758313 +Corydalis barbisepala,31.7061,102.314 +Corydalis benecincta,27.3769,100.06 +Corydalis bimaculata,28.35138,98.78611 +Corydalis bokuensis,38.073254,104.69114 +Corydalis brevirostrata,32.995,97.2483 +Corydalis brunneo-vaginata,38.073254,104.69114 +Corydalis bulbifera,29.7,98 +Corydalis calcicola,29.1122,100.033 +Corydalis chamdoensis,31.13,97.18 +Corydalis chrysosphaera,30.47,91.09 +Corydalis conspersa,32.573889,97.210556 +Corydalis corymbosa,28.5733,99.8117 +Corydalis crista-galli,33.376944,100.29 +Corydalis cristata,32.637983,103.59895 +Corydalis cytisiflora,32.58333,103.83333 +Corydalis dajingensis,30.910001,102.903564 +Corydalis dasyptera,34.6489,100.611 +Corydalis degensis,31.8,98.58 +Corydalis delavayi,28.385,98.78583 +Corydalis densispica,35.86,104.2 +Corydalis drakeana,25.012526,102.700013 +Corydalis dubia,31.712092,88.118532 +Corydalis elata,30.15,101.82 +Corydalis ellipticarpa,30.99903,102.364372 +Corydalis eugeniae,30.031529,101.014427 +Corydalis filisecta,29.87,95.77 +Corydalis fimbripetala,31.712092,88.118532 +Corydalis foetida,30.368117,102.81464 +Corydalis foliaceo-bracteata,29.65,91.12 +Corydalis geocarpa,38.073254,104.69114 +Corydalis glycyphyllos,30.05,101.96 +Corydalis grandiflora,30.88,101.88 +Corydalis gyrophylla,38.073254,104.69114 +Corydalis hamata,29.58,98.15 +Corydalis hebephylla,32.637983,103.59895 +Corydalis hemidicentra,28.48611,98.911543 +Corydalis hepaticifolia,28.51833,98.94777 +Corydalis heracleifolia,32.637983,103.59895 +Corydalis heterocentra,38.073254,104.69114 +Corydalis imbricata,31.712092,88.118532 +Corydalis inopinata,31.712092,88.118532 +Corydalis jiulongensis,29.000343,101.507299 +Corydalis kingdonis,31.712092,88.118532 +Corydalis kingii,29.68,89.09 +Corydalis kiukiangensis,35.86,104.2 +Corydalis kokiana,29.1031,99.6319 +Corydalis lasiocarpa,31.712092,88.118532 +Corydalis lathyrophylla,30.99833,101.76889 +Corydalis lhasaensis,29.73,90.98 +Corydalis lhorongensis,31.0767,96.9447 +Corydalis linstowiana,29.914155,102.234618 +Corydalis livida,34.716667,99.686944 +Corydalis longibracteata,28.262715,103.571742 +Corydalis ludlowii,31.712092,88.118532 +Corydalis lupinoides,29.215697,94.213461 +Corydalis melanochlora,28.479722,98.948611 +Corydalis minutiflora,28.93,99.79 +Corydalis mucronifera,35.57,94.02 +Corydalis muliensis,27.928607,101.279419 +Corydalis napuligera,31.5978,100.367 +Corydalis nemoralis,28.661276,97.466916 +Corydalis nigro-apiculata,31.80612,98.580912 +Corydalis oligosperma,28.661276,97.466916 +Corydalis pachycentra,29.1339,100.043 +Corydalis pachypoda,30.1589,97.3156 +Corydalis paniculata,38.073254,104.69114 +Corydalis papillipes,29.9,91.25 +Corydalis peltata,38.073254,104.69114 +Corydalis petrophila,35.86,104.2 +Corydalis polyphylla,35.86,104.2 +Corydalis porphyrantha,35.86,104.2 +Corydalis potaninii,34.04,104.39 +Corydalis praecipitorum,38.073254,104.69114 +Corydalis prattii,36.519977,103.891767 +Corydalis pseudo-adoxa,29.85,95.76 +Corydalis pseudobarbisepala,30.99,102.36 +Corydalis pseudodrakeana,31.712092,88.118532 +Corydalis pseudofluminicola,29.2189,101.516 +Corydalis pseudoimpatiens,34.43808,104.036837 +Corydalis pseudorupestris,38.073254,104.69114 +Corydalis pseudoschlechteriana,38.073254,104.69114 +Corydalis pseudothyrsiflora,28.85,85.3 +Corydalis pseudotongolensis,29.0758,99.9189 +Corydalis pseudoweigoldii,38.073254,104.69114 +Corydalis pubicaula,29.616667,94.933333 +Corydalis purpureocalcarata,38.073254,104.69114 +Corydalis pygmaea,29,93.98 +Corydalis quantmeyeriana,32.58333,103.83333 +Corydalis quinquefoliolata,31.712092,88.118532 +Corydalis radicans,27.928607,101.279419 +Corydalis retingensis,31.712092,88.118532 +Corydalis rheinbabeniana,35.36,103.7 +Corydalis rockii,29.85,95.76 +Corydalis rorida,47.77,128.91 +Corydalis roseotincta,28.932073,99.79929 +Corydalis scaberula,28.397131,99.444946 +Corydalis semiaquilegifolia,38.073254,104.69114 +Corydalis sherriffii,31.712092,88.118532 +Corydalis sigmantha,30.91,102.54 +Corydalis smithiana,36.519977,103.891767 +Corydalis spathulata,36.52,103.89167 +Corydalis straminea,34.648889,100.610556 +Corydalis stramineoides,38.073254,104.69114 +Corydalis striatocarpa,24.9222,98.6328 +Corydalis temolana,28.48611,98.911543 +Corydalis tenerrima,28.48611,98.911543 +Corydalis tenuicalcarata,31.3411,97.9297 +Corydalis tianzhuensis,34.5808,99.4508 +Corydalis tibeto-alpina,28,91.95 +Corydalis tibeto-oppositifolia,28,91.95 +Corydalis tongolensis,29.1031,99.6319 +Corydalis trachycarpa,35.5,99.8 +Corydalis tsariensis,31.712092,88.118532 +Corydalis tsayulensis,28.93,99.79 +Corydalis urbaniana,30.91,102.54 +Corydalis weigoldii,29.914155,102.234618 +Corydalis wuzhengyiana,30.05,96.92 +Corydalis yargongensis,31.80612,98.580912 +Corydalis yui,24.976725,101.487417 +Corydalis zadoiensis,29.7108,98.0025 +Corydalis zhongdianensis,27.82308,99.706013 +Dactylicapnos lichiangensis,27.6306,98.6594 +Dicranostigma platycarpum,24.615701,100.709787 +Meconopsis aculeata,28.65,87.12 +Meconopsis argemonantha,31.712092,88.118532 +Meconopsis barbiseta,29.3342,101.499 +Meconopsis delavayi,27.076711,100.214946 +Meconopsis florindae,30.0058,93.9231 +Meconopsis forrestii,25.7667,100.017 +Meconopsis georgei,24.976725,101.487417 +Meconopsis henrici,32.83657,103.56327 +Meconopsis pseudohorridula,31.48,103.58 +Meconopsis pseudovenusta,29.85,95.76 +Meconopsis punicea,34.5092,100.407 +Meconopsis racemosa,27.930853,99.615471 +Meconopsis speciosa,35.86,104.2 +Meconopsis torquata,29.766667,90.783333 +Meconopsis venusta,26.876096,100.229945 +Meconopsis zangnanensis,28,91.95 +Adinandra latifolia,35.86,104.2 +Eurya chukiangensis,27.7158,98.4239 +Eurya crassilimba,29.32,95.33 +Eurya gracilipes,24.980556,113.020833 +Eurya gungshanensis,35.86,104.2 +Eurya handel-mazzettii,35.86,104.2 +Eurya perserrata,35.86,104.2 +Eurya taronensis,35.86,104.2 +Eurya tsaii,35.86,104.2 +Ternstroemia biangulipes,35.86,104.2 +Lancea hirsuta,30.055305,101.96483 +Mazus celsioides,35.86,104.2 +Mimulus tibeticus,29.7786,94.7247 +Glochidion medogense,29.32,95.33 +Phyllanthus tsarongensis,35.86,104.2 +Abies chayuensis,28.66,97.46 +Abies ferreana,28.33,99.76 +Abies georgei,26.44,98.76 +Abies recurvata,30.05,102.05 +Abies squamata,30.05,102.05 +Larix mastersiana,30.511499,103.481974 +Larix speciosa,35.86,104.2 +Picea purpurea,36.519977,103.891767 +Pinus densata,36.519977,103.891767 +Pseudotsuga forrestii,35.86,104.2 +Piper infossum,29.32,95.33 +Pittosporum angustilimbum,29.914155,102.234618 +Pittosporum heterophyllum,26.876096,100.229945 +Pittosporum saxicola,31.084,103.267 +Lagotis alutacea,28.401184,99.45137 +Lagotis angustibracteata,35.37,99.28 +Lagotis brachystachya,35.33,93.33 +Lagotis brevituba,31.9272,96.4597 +Lagotis humilis,31.47,79.8 +Lagotis integra,29.3858,100.149 +Lagotis kongboensis,31.712092,88.118532 +Lagotis macrosiphon,28.85,85.29 +Lagotis praecox,31.0778,96.9478 +Lagotis wardii,28.48611,98.911543 +Lagotis yunnanensis,32.6608,98.0481 +Linaria thibetica,31.6961,100.705 +Linaria yunnanensis,31.3014,97.9817 +Plantago perssonii,37.88,77.41 +Scrofella chinensis,32.637983,103.59895 +Scrophularia aequilabris,31.9,102.22 +Scrophularia chasmophila,26.876096,100.229945 +Scrophularia delavayi,35.86,104.2 +Scrophularia diplodonta,27.177166,99.28717 +Scrophularia hypsophila,35.86,104.2 +Scrophularia kansuensis,36.584828,100.494247 +Scrophularia mandarinorum,35.86,104.2 +Scrophularia przewalskii,33.75,97.05 +Scrophularia souliei,34.4322,100.334 +Scrophularia spicata,27.82308,99.706013 +Scrophularia yunnanensis,35.86,104.2 +Veronica chayuensis,29.85,95.76 +Veronica eriogyne,36.92,101.32 +Veronica filipes,33.75,97.05 +Veronica longipetiolata,28.17,85.98 +Veronica riae,28.72,109.65 +Veronica tibetica,28.85,85.29 +Veronicastrum rhombifolium,30.06,102.75 +Acantholimon popovii,39.71,75.25 +Ceratostigma minus,30.0833,102.16 +Limonium potaninii,35.934366,101.477183 +Achnatherum inaequiglume,30.911944,102.546111 +Achnatherum psilantherum,41.031707,113.121092 +Agrostis sinorupestris,26.876096,100.229945 +Aristida alpina,29.65,91.12 +Aristida brevissima,28.2592,99.2739 +Aristida scabrescens,29.68,91.13 +Aristida triseta,29.92,92.77 +Aristida tsangpoensis,29.35,90.88 +Arundinella yunnanensis,35.86,104.2 +Brachypodium pratense,29.63,94.36 +Bromus epilis,32.071667,97.045278 +Bromus magnus,32.094444,97.266667 +Bromus mairei,32.094444,97.266667 +Bromus pseudoramosus,25.827253,100.575146 +Bromus sinensis,32.080278,97.02 +Chimonobambusa metuoensis,29.32,95.33 +Chimonocalamus tortuosus,29.32,95.33 +Cymbopogon tungmaiensis,28.48611,98.911543 +Dendrocalamus fugongensis,35.86,104.2 +Dendrocalamus tibeticus,35.86,104.2 +Deyeuxia flaccida,25.841921,98.857727 +Deyeuxia flavens,32.0803,97.02 +Deyeuxia himalaica,29.32,95.33 +Deyeuxia kokonorica,37.36,97.36 +Deyeuxia mazzettii,27.3455,99.2588 +Deyeuxia moupinensis,35.86,104.2 +Deyeuxia nyingchiensis,29.63,94.36 +Deyeuxia rosea,35.86,104.2 +Deyeuxia yanyuanensis,27.422643,101.509187 +Deyeuxia zangxiensis,31.39,90 +Drepanostachyum ampullare,28.85,85.29 +Drepanostachyum semiorbiculatum,28.85,85.29 +Elymus anthosachnoides,37.833333,118.283333 +Elymus atratus,36.73333,99.76667 +Elymus barystachyus,31.82,98.58 +Elymus breviaristatus,36,96 +Elymus brevipes,32.0756,97.0653 +Elymus durus,38.073254,104.69114 +Elymus elytrigioides,31.62,99.98 +Elymus grandiglumis,42.6,85.5 +Elymus kengii,35.322222,100.918056 +Elymus pulanensis,28.85,85.29 +Fargesia acuticontracta,35.86,104.2 +Fargesia adpressa,31.151088,103.16254 +Fargesia angustissima,31.151088,103.16254 +Fargesia canaliculata,31.151088,103.16254 +Fargesia communis,35.86,104.2 +Fargesia contracta,35.86,104.2 +Fargesia denudata,32.95,104.68 +Fargesia dulcicula,31.151088,103.16254 +Fargesia dura,31.151088,103.16254 +Fargesia elegans,31.151088,103.16254 +Fargesia emaculata,31.151088,103.16254 +Fargesia exposita,31.151088,103.16254 +Fargesia extensa,31.151088,103.16254 +Fargesia farcta,31.151088,103.16254 +Fargesia glabrifolia,31.151088,103.16254 +Fargesia gongshanensis,35.86,104.2 +Fargesia jiulongensis,29,101.5 +Fargesia lushuiensis,25.85,98.85 +Fargesia macclureana,29.63,94.36 +Fargesia melanostachys,35.86,104.2 +Fargesia nitida,33.92,111.62 +Fargesia obliqua,34.05,103.22 +Fargesia orbiculata,35.86,104.2 +Fargesia pleniculmis,31.151088,103.16254 +Fargesia praecipua,35.86,104.2 +Fargesia robusta,31.151088,103.16254 +Fargesia rufa,31.151088,103.16254 +Fargesia sagittatinea,35.86,104.2 +Fargesia scabrida,32.95,104.68 +Fargesia sylvestris,31.151088,103.16254 +Fargesia yulongshanensis,29.7017,98.5256 +Fargesia zayuensis,31.151088,103.16254 +Festuca changduensis,32.080278,97.02 +Festuca chayuensis,30.267262,120.110333 +Festuca chumbiensis,28.935103,90.554197 +Festuca dolichantha,34.648889,100.610556 +Festuca forrestii,29.67,91.07 +Festuca handelii,30.055305,101.96483 +Festuca kansuensis,36.584828,100.494247 +Festuca scabriflora,29.63,94.36 +Festuca sinensis,33.727778,99.350278 +Festuca yulungschanica,36.060255,120.360774 +Festuca yunnanensis,27.71,102.8 +Helictotrichon potaninii,32.790891,102.544402 +Leymus altus,25.66667,103.95 +Leymus pseudoracemosus,36.45,96.46 +Leymus ruoqiangensis,36.42,94.9 +Littledalea przevalskyi,29.29,87.23 +Littledalea racemosa,30.92,102.93 +Melica longiligulata,31.82,98.58 +Melica taylorii,31.712092,88.118532 +Melica yajiangensis,29.75,98.833333 +Melocalamus elevatissimus,22.391288,106.817838 +Orinus anomala,27.44164,104.873643 +Orinus kokonorica,36.5875,100.491 +Orinus tibeticus,36.5875,100.491 +Piptatherum grandispiculum,28.53388,98.87666 +Poa binodis,30.05,101.96 +Poa bomiensis,29.85,95.76 +Poa nubigena,28.48611,98.911543 +Poa perennis,32.080278,97.02 +Poa qinghaiensis,36.519977,103.891767 +Poa zhongdianensis,27.6873,101.224 +Polypogon ivanovae,33.7428,97.125 +Ptilagrostis luquensis,34.166667,102.416667 +Puccinellia arjinshanensis,38.24,101.96 +Puccinellia degeensis,31.8,98.58 +Puccinellia ladyginii,30.1589,97.3156 +Puccinellia leiolepis,36.8667,104.78333 +Puccinellia multiflora,33.38,79.73 +Puccinellia roborovskyi,30.29,81.17 +Puccinellia shuanghuensis,34.92,98.18 +Setaria yunnanensis,27.7703,98.6542 +Sinochasea trigyna,30.14136,101.865706 +Stephanachne monandra,30.93,88.7 +Stipa aliena,31.17,96.17 +Themeda minor,28.66,97.46 +Tripogon humilis,28.13,99.43 +Tripogon sichuanicus,30.05,101.96 +Tripogon yunnanensis,28.932073,99.79929 +Trisetum kangdingense,30.05,101.97 +Yushania farcticaulis,35.86,104.2 +Yushania lineolata,35.86,104.2 +Yushania longissima,35.86,104.2 +Yushania violascens,26.82,100.23 +Yushania weixiensis,25.88,99.37 +Yushania xizangensis,35.86,104.2 +Elymus kokonoricus,0,0 +Elymus laxiflorus,35.86,104.2 +Elymus melantherus,0,0 +Elymus retusus,0,0 +Elymus rigidulus,31.37,90.02 +Elymus stenachyrus,38.073254,104.69114 +Polygala lhunzeensis,28.599445,93.40389 +Polygala lijiangensis,26.82,100.23 +Calligonum zaidamense,0,0 +Parapteropyrum tibeticum,0,0 +Polygonum cathayanum,30.055305,101.96483 +Polygonum fertile,36.1,103.62 +Polygonum lichiangense,36.519977,103.891767 +Polygonum purpureonervosum,28.93,99.79 +Polygonum sinomontanum,29.14,99.93 +Polygonum subscaposum,28.48611,98.911543 +Polygonum suffultoides,28.48611,98.911543 +Polygonum tibeticum,28.48611,98.911543 +Polygonum umbrosum,35.86,104.2 +Rheum alexandrae,30.0153,101.859 +Rheum forrestii,29.1461,100.038 +Rheum inopinatum,29.75,91.15 +Rheum kialense,0,0 +Rheum laciniatum,0,0 +Rheum lhasaense,28.93,92.22 +Rheum likiangense,0,0 +Rheum przewalskyi,0,0 +Rheum pumilum,32.675,97.2944 +Rheum rhomboideum,32.3,84.06 +Rheum subacaule,30.055305,101.96483 +Rheum sublanceolatum,35.2,102.52 +Rheum tanguticum,33.290107,101.112238 +Androsace adenocephala,29.65,91.12 +Androsace alchemilloides,27.82308,99.706013 +Androsace bisulca,0,0 +Androsace brachystegia,30.979541,101.125234 +Androsace bulleyana,0,0 +Androsace cernuiflora,32.2,96.48 +Androsace cuttingii,28.57,91.44 +Androsace dissecta,26.876096,100.229945 +Androsace elatior,32.746389,97.347222 +Androsace euryantha,28.3523,85.7833 +Androsace flavescens,37.88,77.41 +Androsace forrestiana,29.1081,99.9078 +Androsace graceae,35.86,104.2 +Androsace graminifolia,31.4,90.28 +Androsace integra,27.129337,100.233665 +Androsace limprichtii,28.368742,99.754272 +Androsace minor,30.05,101.96 +Androsace mollis,26.088547,103.176727 +Androsace ovalifolia,28.3523,85.7833 +Androsace pomeiensis,29.87,95.77 +Androsace rockii,26.87,99.64 +Androsace squarrosula,34.81,98.3 +Androsace stenophylla,29.65,91.12 +Androsace sublanata,34.75,100.22 +Androsace wardii,27.81908,99.70305 +Androsace yargongensis,31.80612,98.580912 +Androsace zayulensis,31.712092,88.118532 +Lysimachia baoxingensis,30.368117,102.81464 +Lysimachia chungdienensis,27.82308,99.706013 +Lysimachia excisa,27.928607,101.279419 +Lysimachia medogensis,29.33,95.33 +Lysimachia pumila,30.05,101.96 +Lysimachia reflexiloba,27.928607,101.279419 +Lysimachia roseola,29.000343,101.507299 +Lysimachia stellarioides,32.95,104.68 +Lysimachia tsaii,26.4833,99.2667 +Lysimachia tsarongensis,35.86,104.2 +Maesa cavinervis,29.3253,95.333197 +Omphalogramma brachysiphon,29.32,95.33 +Omphalogramma forrestii,27.82308,99.706013 +Omphalogramma minus,35.86,104.2 +Omphalogramma souliei,35.86,104.2 +Omphalogramma tibeticum,31.712092,88.118532 +Omphalogramma vinciflorum,30.93466,102.901099 +Pomatosace filicula,35.20256,102.521732 +Primula advena,26.088547,103.176727 +Primula aemula,28.5,101.17 +Primula aerinantha,35.85,102.48 +Primula aliciae,29.58,94.98 +Primula alsophila,30.14136,101.865706 +Primula amethystina,35.86,104.2 +Primula anisodora,27.7139,98.4236 +Primula annulata,24.17,110.8 +Primula aromatica,24.976725,101.487417 +Primula aurantiaca,26.537043,99.905548 +Primula baileyana,29.58,95 +Primula barbatula,31.712092,88.118532 +Primula bathangensis,27.3222,100.219 +Primula bella,27.791157,99.582642 +Primula blattariformis,27.928607,101.279419 +Primula blinii,30.15,101.82 +Primula bomiensis,30.4578,100.302 +Primula boreiocalliantha,28.389341,99.446465 +Primula bracteata,28.71,99.28 +Primula caldaria,24.976725,101.487417 +Primula candicans,31.712092,88.118532 +Primula cawdoriana,29.62,94.58 +Primula cerina,29.389722,100.135555 +Primula chamaedoron,31.712092,88.118532 +Primula chionantha,28.7464,100.269 +Primula chionata,29.32,95.33 +Primula chionogenes,31.712092,88.118532 +Primula chungensis,35.86,104.2 +Primula clutterbuckii,28.66,97.46 +Primula cockburniana,30.055305,101.96483 +Primula crocifolia,32.07,102.98 +Primula deflexa,0,0 +Primula diantha,0,0 +Primula dumicola,0,0 +Primula erratica,36.519977,103.891767 +Primula falcifolia,29.32,95.33 +Primula fangii,31.905842,102.206261 +Primula farreriana,36.519977,103.891767 +Primula fasciculata,32.8,92.83 +Primula fernaldiana,31.8131,99.7178 +Primula flabellifera,31.712092,88.118532 +Primula flava,34.56,99.67 +Primula florindae,30.0058,93.9231 +Primula forrestii,27.12,100.22 +Primula gemmifera,33.97,106.77 +Primula gracilenta,26.088547,103.176727 +Primula graminifolia,30.91,102.54 +Primula heucherifolia,28.96,102.104 +Primula hilaris,31.712092,88.118532 +Primula hoffmanniana,31.68115,103.853481 +Primula hoi,24.615701,100.709786 +Primula humilis,30.93917,100.311366 +Primula hylobia,35.86,104.2 +Primula inopinata,29.316666,110.4 +Primula ioessa,29.65,91.12 +Primula jaffreyana,28.85,90.45 +Primula jucunda,31.712092,88.118532 +Primula kialensis,30.927887,102.886164 +Primula kongboensis,27.48,88.9 +Primula laciniata,30.979541,101.125234 +Primula lactucoides,33,97.02 +Primula latisecta,29.63,94.36 +Primula laxiuscula,31.712092,88.118532 +Primula limbata,32.8,102.55 +Primula littledalei,30.32,90.58 +Primula meiotera,29.5,95 +Primula melanantha,28.549809,102.177079 +Primula melanops,28.12,101.22 +Primula minor,28.479722,98.948611 +Primula monticola,26.876096,100.229945 +Primula moupinensis,29.792928,102.846741 +Primula muscarioides,35.86,104.2 +Primula ninguida,29.63,94.36 +Primula occlusa,31.712092,88.118532 +Primula odontica,31.712092,88.118532 +Primula optata,31.9272,96.4597 +Primula orbicularis,30.36,102.81 +Primula oxygraphidifolia,28.37,101.1 +Primula palmata,30.91,102.54 +Primula pinnatifida,27.79159,99.581367 +Primula polyneura,35.86,104.2 +Primula praetermissa,31.712092,88.118532 +Primula prattii,29.578465,100.718252 +Primula pseudoglabra,29.496119,103.398589 +Primula pulchella,27.12936,100.23835 +Primula pulverulenta,26.876096,100.229945 +Primula purdomii,29.7108,98.0025 +Primula qinghaiensis,32.27,96.22 +Primula rimicola,31.712092,88.118532 +Primula rockii,27.928607,101.279419 +Primula rubicunda,27.82308,99.706013 +Primula runcinata,27.82308,99.706013 +Primula rupicola,27.82308,99.706013 +Primula russeola,28.932073,99.79929 +Primula sandemaniana,31.712092,88.118532 +Primula saturata,31.5,110.5 +Primula secundiflora,27.783297,99.582634 +Primula septemloba,29.000343,101.507299 +Primula sertulum,34.69,103.35 +Primula sinoplantaginea,35.86,104.2 +Primula soongii,30.37,102.82 +Primula souliei,28.8164,99.2158 +Primula stenocalyx,30.93,102.95 +Primula subularia,31.712092,88.118532 +Primula szechuanica,24.976725,101.487417 +Primula tangutica,32.675,97.2944 +Primula tayloriana,26.33,115.36 +Primula tenuipes,31.48,102.07 +Primula tongolensis,36.519977,103.891767 +Primula triloba,35.86,104.2 +Primula tsongpenii,31.712092,88.118532 +Primula tzetsouensis,27.80555,99.90638 +Primula urticifolia,43.76,128.456 +Primula vialii,27.92,101.27 +Primula violacea,28.9403,102.103 +Primula watsonii,26.088547,103.176727 +Primula woonyoungiana,27.80555,99.90638 +Primula youngeriana,29.5,94.25 +Primula yunnanensis,35.86,104.2 +Helicia tibetensis,29.32,95.33 +Aconitum abietetorum,27.92,101.27 +Aconitum bracteolatum,24.58669,98.689166 +Aconitum brevicalcaratum,27.928607,101.279419 +Aconitum brevilimbum,29.25,94.416667 +Aconitum brunneum,31.4972,99.9925 +Aconitum campylorrhynchum,27.928607,101.279419 +Aconitum changianum,31.68,103.85 +Aconitum chayuense,28.66,97.46 +Aconitum chiachaense,29.14,92.59 +Aconitum chilienshanicum,36.5,101.57 +Aconitum chrysotrichum,29.4578,100.192 +Aconitum crassiflorum,31.1947,100.298 +Aconitum creagromorphum,28,91.95 +Aconitum diqingense,28.385,98.78583 +Aconitum dolichostachyum,22.79,103.09 +Aconitum elliotii,29.9,94.87 +Aconitum falciforme,29.91,102.23 +Aconitum forrestii,26.876096,100.229945 +Aconitum franchetii,29.914155,102.234618 +Aconitum georgei,25.6,100.23 +Aconitum glabrisepalum,27.928607,101.279419 +Aconitum habaense,28.93,99.79 +Aconitum hamatipetalum,27.740736,98.66582 +Aconitum incisofidum,29.037008,100.298406 +Aconitum iochanicum,35.86,104.2 +Aconitum jilongense,28.85,85.29 +Aconitum kongboense,31.8064,99.4319 +Aconitum legendrei,28.549809,102.177079 +Aconitum leiwuqiense,31.22,96.6 +Aconitum liljestrandii,30.0403,101.838 +Aconitum longilobum,27.03,108.19 +Aconitum longipedicellatum,31.712092,88.118532 +Aconitum longipetiolatum,31.712092,88.118532 +Aconitum ludlowii,30.93,88.7 +Aconitum lycoctonifolium,29.32,95.33 +Aconitum milinense,29.22,94.22 +Aconitum nielamuense,28.17,85.98 +Aconitum nutantiflorum,29.22,94.22 +Aconitum ouvrardianum,35.86,104.2 +Aconitum parcifolium,27.18,99.28 +Aconitum pendulicarpum,35.86,104.2 +Aconitum phyllostegium,28.4,101.1 +Aconitum piepunense,27.82308,99.706013 +Aconitum pilopetalum,29.85,95.76 +Aconitum polycarpum,26.901731,98.869207 +Aconitum polyschistum,29.914155,102.234618 +Aconitum pomeense,29.85,95.76 +Aconitum potaninii,36.92,101.32 +Aconitum prominens,31.49,98.21 +Aconitum pseudobrunneum,30.2525,100.258 +Aconitum pseudodivaricatum,29.85,95.76 +Aconitum pseudokongboense,29.88,93.24 +Aconitum refractum,32.0803,97.02 +Aconitum richardsonianum,30.3,91.52 +Aconitum rilongense,30.99,102.36 +Aconitum rockii,27.82308,99.706013 +Aconitum secundiflorum,31.68115,103.853481 +Aconitum sinoaxillare,28.385,98.78583 +Aconitum souliei,35.86,104.2 +Aconitum spiripetalum,30.2181,100.258 +Aconitum stapfianum,29.9,94.87 +Aconitum straminiflorum,27.177166,99.28717 +Aconitum stylosoides,29.037008,100.298406 +Aconitum tangense,31.87,99.12 +Aconitum taronense,35.86,104.2 +Aconitum tongolense,31.95,102.65 +Aconitum transsectum,24.976725,101.487417 +Aconitum tsaii,26.901731,98.869207 +Aconitum xiangchengense,29.1239,99.9967 +Aconitum yangii,27.82308,99.706013 +Aconitum yunlingense,27.177166,99.28717 +Adonis coerulea,33.2975,100.432 +Anemoclema glaucifolium,27.92,101.27 +Anemone delavayi,35.86,104.2 +Anemone erythrophylla,30.066708,102.758313 +Anemone imbricata,34.580833,99.450833 +Anemone laceratoincisa,38.073254,104.69114 +Anemone patula,30.368117,102.81464 +Anemone robusta,27.177166,99.28717 +Anemone scabriuscula,35.86,104.2 +Anemone subindivisa,26.876096,100.229945 +Anemone subpinnata,27.928607,101.279419 +Anemone tibetica,28.647167,98.610556 +Anemone yulongshanica,27.928607,101.279419 +Aquilegia rockii,29.1031,99.6319 +Beesia deltophylla,29.32,95.33 +Callianthemum farreri,34.04,104.39 +Caltha sinogracilis,35.86,104.2 +Clematis caudigera,36.85,81.67 +Clematis corniculata,37.88,77.41 +Clematis delavayi,29.9425,101.0181 +Clematis gracilifolia,28.389183,99.445793 +Clematis jialasaensis,29.32,95.33 +Clematis metuoensis,29.32,95.33 +Clematis pianmaensis,35.86,104.2 +Clematis pseudopogonandra,29.2739,98.6728 +Clematis venusta,27.177166,99.28717 +Clematis viridis,32.9256,97.2661 +Clematis yui,29.63521,94.408318 +Clematis zandaensis,31.47,79.8 +Coptis teeta,35.86,104.2 +Delphinium aktoense,38.95,75.17 +Delphinium albocoeruleum,34.56,101.51 +Delphinium angustirhombicum,30.3,118.13 +Delphinium autumnale,27.92,101.27 +Delphinium batangense,28.93,99.79 +Delphinium beesianum,35.86,104.2 +Delphinium brevisepalum,21.741852,107.997805 +Delphinium bulleyanum,30.004589,99.107741 +Delphinium calophyllum,34.822778,99.042778 +Delphinium calthifolium,31.893892,104.43684 +Delphinium campylocentrum,30.91,102.54 +Delphinium candelabrum,33.376944,100.29 +Delphinium caudatolobum,31.9531,98.9036 +Delphinium ceratophoroides,29.037008,100.298406 +Delphinium chayuense,28.66,97.46 +Delphinium chenii,26.837264,116.325752 +Delphinium chrysotrichum,31.68,94.92 +Delphinium chumulangmaense,28.65,87.12 +Delphinium chungbaense,29.77,84.03 +Delphinium coleopodum,26.876096,100.229945 +Delphinium conaense,28,91.95 +Delphinium davidii,30.368117,102.81464 +Delphinium dolichocentroides,27.92,101.27 +Delphinium erlangshanicum,30.06,102.75 +Delphinium forrestii,30.22,100.26 +Delphinium glabricaule,30.99,102.36 +Delphinium gonggaense,30.055305,101.96483 +Delphinium grandilimbum,38.073254,104.69114 +Delphinium gyalanum,29.68,91.13 +Delphinium hillcoatiae,31.712092,88.118532 +Delphinium hirtifolium,27.928607,101.279419 +Delphinium huangzhongense,36.47,101.61 +Delphinium hui,29.037008,100.298406 +Delphinium humilius,27.82308,99.706013 +Delphinium incisolobulatum,31.1228,97.0233 +Delphinium kansuense,36.39,101.97 +Delphinium kantzeense,38.073254,104.69114 +Delphinium kaschgaricum,39.72,75.25 +Delphinium kingianum,29.3,91.98 +Delphinium kunlunshanicum,37.88,77.41 +Delphinium lasiantherum,29.037008,100.298406 +Delphinium laxicymosum,31.084,103.267 +Delphinium leiophyllum,29.89,91.26 +Delphinium leiostachyum,27.92,101.27 +Delphinium likiangense,26.876096,100.229945 +Delphinium longipedicellatum,29.85,95.76 +Delphinium majus,31.331599,110.783718 +Delphinium malacophyllum,30,99.1 +Delphinium maoxianense,30.91,102.54 +Delphinium maximowiczii,34.43,104.03 +Delphinium medogense,29.32,95.33 +Delphinium motingshanicum,38.073254,104.69114 +Delphinium muliense,27.42,101.5 +Delphinium nangchienense,32.77,96.67 +Delphinium ninglangshanicum,27.92,101.27 +Delphinium obcordatilimbum,31.22,96.6 +Delphinium orthocentrum,36.407278,99.9568 +Delphinium pachycentrum,30.055305,101.96483 +Delphinium pergameneum,28.48611,98.911543 +Delphinium pomeense,29.85,95.76 +Delphinium pseudocampylocentrum,28.37,100.38 +Delphinium pseudoglaciale,29.68,89.09 +Delphinium pseudohamatum,38.073254,104.69114 +Delphinium pseudopulcherrimum,36.519977,103.891767 +Delphinium pseudothibeticum,28.236194,99.993278 +Delphinium pseudotongolense,30.36,102.81 +Delphinium pulanense,30.3,81.17 +Delphinium pumilum,27.92,101.27 +Delphinium purpurascens,28.17,85.98 +Delphinium pylzowii,34.432222,100.333889 +Delphinium qinghaiense,36.4,94.9 +Delphinium rangtangense,32.26,100.97 +Delphinium rutoense,33.38,79.72 +Delphinium saxatile,30.368117,102.81464 +Delphinium sherriffii,29.04,93.07 +Delphinium sinopentagynum,33.58,102.95 +Delphinium sinoscaposum,30.37,102.82 +Delphinium smithianum,28.5733,99.8117 +Delphinium souliei,30.055305,101.96483 +Delphinium spirocentrum,35.86,104.2 +Delphinium subspathulatum,28.17,85.98 +Delphinium sutchuenense,31.8503,102.67 +Delphinium tangkulaense,34.177222,97.768611 +Delphinium taxkorganense,37.77,75.22 +Delphinium tenii,35.86,104.2 +Delphinium tetragynum,37.77,75.22 +Delphinium thibeticum,35.86,104.2 +Delphinium tongolense,25.012526,102.700013 +Delphinium trichophorum,36.519977,103.891767 +Delphinium wardii,29.05,93.95 +Delphinium wenchuanense,31.08,103.26 +Delphinium wrightii,31.08,96.97 +Delphinium wuqiaense,39.71,75.25 +Delphinium yajiangense,27.711428,102.807301 +Delphinium yangii,27.83,99.7 +Delphinium yanwaense,27.177166,99.28717 +Delphinium yechengense,37.88,77.41 +Delphinium yongningense,38.073254,104.69114 +Delphinium yuanum,29.1081,99.9078 +Delphinium yulungshanicum,38.073254,104.69114 +Delphinium zhangii,38.93,74.47 +Eranthis albiflora,30.06,102.75 +Eranthis lobulata,31.08,103.26 +Halerpestes filisecta,32.4,81.12 +Metanemone ranunculoides,27.177166,99.28717 +Oxygraphis delavayi,35.86,104.2 +Oxygraphis tenuifolia,29.914155,102.234618 +Pulsatilla millefolium,29,101.5 +Ranunculus angustisepalus,35.86,104.2 +Ranunculus balangshanicus,30.911941,102.900087 +Ranunculus banguoensis,31.39,90 +Ranunculus cangshanicus,27.82308,99.706013 +Ranunculus chuanchingensis,32.77,96.67 +Ranunculus densiciliatus,28.36,87.76 +Ranunculus dielsianus,29.0758,99.9189 +Ranunculus dongrergensis,32.58333,103.83333 +Ranunculus glabricaulis,34.580833,99.450833 +Ranunculus glareosus,32.573889,97.210556 +Ranunculus hetianensis,37.12,79.92 +Ranunculus indivisus,33.57587,102.961829 +Ranunculus kunlunshanicus,38.073254,104.69114 +Ranunculus limprichtii,30.055305,101.96483 +Ranunculus luoergaiensis,38.073254,104.69114 +Ranunculus mainlingensis,29.63,94.36 +Ranunculus mengyuanensis,38.073254,104.69114 +Ranunculus micronivalis,27.82308,99.706013 +Ranunculus minor,28.36,87.76 +Ranunculus muscigenus,38.073254,104.69114 +Ranunculus nematolobus,26.56023,100.17643 +Ranunculus pedicellatus,30.07,102.75 +Ranunculus platypetalus,32.58333,103.83333 +Ranunculus pseudolobatus,31.48,102.07 +Ranunculus similis,29.77,84.03 +Ranunculus tetrandrus,24.33,116.62 +Ranunculus zhungdianensis,27.82308,99.706013 +Thalictrum atriplex,28.48611,98.911543 +Thalictrum chayuense,28.66,97.46 +Thalictrum diffusiflorum,28.93,93.23 +Thalictrum finetii,35.86,104.2 +Thalictrum fusiforme,24.13,117.62 +Thalictrum grandiflorum,32.94,104.68 +Thalictrum leuconotum,32.0806,97.0072 +Thalictrum reticulatum,27.2536,100.153 +Thalictrum smithii,28.6003,100.287 +Thalictrum tsawarungense,29.85,95.76 +Thalictrum uncatum,33.1567,96.6483 +Thalictrum viscosum,31.87,99.12 +Thalictrum wangii,28.66,97.46 +Trollius micranthus,27.740736,98.66582 +Trollius ranunculoides,28.385,98.78583 +Trollius vaginatus,27.82308,99.706013 +Trollius yunnanensis,35.86,104.2 +Berchemia longipedicellata,29.85,95.76 +Berchemia medogensis,29.326875,95.328655 +Rhamnella forrestii,35.86,104.2 +Rhamnella wilsonii,30.99903,102.364372 +Rhamnus flavescens,30.74,95.82 +Rhamnus gilgiana,28.66,97.46 +Sageretia horrida,28.7817,99.3075 +Ziziphus montana,24.976725,101.487417 +Ziziphus xiangchengensis,26.876096,100.229945 +Amygdalus tangutica,31.68115,103.853481 +Aruncus gombalanus,35.86,104.2 +Chaenomeles thibetica,30.1023,95.1115 +Coluria longifolia,34.5864,99.8636 +Coluria oligocarpa,31.08,103.26 +Cotoneaster conspicuus,28.66,97.46 +Cotoneaster harrysmithii,30.91,102.54 +Cotoneaster langei,27.42,101.5 +Cotoneaster nitens,32.1047,102.8025 +Cotoneaster reticulatus,30.06,102.75 +Cotoneaster taylorii,29.033333,93.216667 +Cotoneaster tenuipes,32.080278,97.02 +Cotoneaster wardii,27.099444,98.872222 +Crataegus chungtienensis,31.1419,100.909 +Crataegus oresbia,27.82308,99.706013 +Malus daochengensis,29.1419,99.6497 +Malus ombrophila,35.86,104.2 +Malus toringoides,31.4306,100.151 +Neillia breviracemosa,35.86,104.2 +Neillia densiflora,27.48,88.9 +Neillia fugongensis,35.86,104.2 +Neillia grandiflora,27.448875,99.823532 +Neillia thibetica,27.448875,99.823532 +Padus integrifolia,28.85,85.29 +Photinia megaphylla,29.32,95.33 +Potentilla articulata,28.48611,98.911543 +Potentilla crenulata,27.2822,100.85195 +Potentilla delavayi,28.85,85.29 +Potentilla fallens,30.05,101.96 +Potentilla gombalana,36.519977,103.891767 +Potentilla granulosa,31.80612,98.580912 +Potentilla hypargyrea,35.86,104.2 +Potentilla lancinata,29.000343,101.507299 +Potentilla macrosepala,27.82308,99.706013 +Potentilla multiceps,37.62,78.28 +Potentilla plumosa,31.92,93.87 +Potentilla taronensis,35.86,104.2 +Potentilla turfosa,29.32,95.33 +Potentilla xizangensis,29.63,94.36 +Prunus caudata,28.3,98.45 +Prunus mugus,27.21,98.7 +Prunus patentipila,26.876096,100.229945 +Prunus pleiocerasus,31.084,103.267 +Prunus trichostoma,35.86,104.2 +Rosa calyptopoda,30.91,102.54 +Rosa deqenensis,28.48611,98.911543 +Rosa derongensis,28.71,99.28 +Rosa duplicata,28.66,97.46 +Rosa farreri,30.368117,102.81464 +Rosa forrestiana,31.7061,102.314 +Rosa graciliflora,32.710278,97.419722 +Rosa ludingensis,29.91,102.23 +Rosa multibracteata,29.157849,107.099276 +Rosa murielae,31.084,103.267 +Rosa persetosa,27.177166,99.28717 +Rosa pinnatisepala,27.92,101.27 +Rosa praelucens,27.82308,99.706013 +Rosa prattii,30.066708,102.758313 +Rosa sikangensis,29.0758,99.9189 +Rosa taronensis,29.65,91.12 +Rosa tibetica,30.74,95.82 +Rosa weisiensis,26.56023,100.17643 +Rosa zhongdianensis,27.82308,99.706013 +Rubus angustibracteatus,30.36,102.81 +Rubus austrotibetanus,35.86,104.2 +Rubus erythrocarpus,35.86,104.2 +Rubus gongshanensis,35.86,104.2 +Rubus hemithyrsus,38.073254,104.69114 +Rubus hypopitys,35.86,104.2 +Rubus lutescens,27.03332,100.17733 +Rubus metoensis,29.32,95.33 +Rubus nyalamensis,28.65,87.12 +Rubus ourosepalus,30.368117,102.81464 +Rubus polyodontus,35.86,104.2 +Rubus pseudopileatus,30.066708,102.758313 +Rubus ptilocarpus,30.1469,101.86 +Rubus stans,26.876096,100.229945 +Rubus stimulans,25.584234,100.222124 +Rubus subinopertus,35.86,104.2 +Rubus taronensis,28.1147,98.3164 +Rubus trijugus,27.42,101.5 +Sibbaldia pentaphylla,32.637983,103.59895 +Sibbaldia phanerophylebia,27.794315,99.587143 +Sibbaldia tenuis,36.519977,103.891767 +Sibiraea angustata,36.92,101.32 +Sibiraea tomentosa,27.82308,99.706013 +Sorbus albopilosa,27.48,88.9 +Sorbus astateria,35.86,104.2 +Sorbus kiukiangensis,27.7075,98.3939 +Sorbus lanpingensis,26.453601,99.416689 +Sorbus monbeigii,35.86,104.2 +Sorbus oligodonta,35.86,104.2 +Sorbus pallescens,28.685449,103.676251 +Sorbus reducta,35.86,104.2 +Sorbus salwinensis,26.901731,98.869207 +Sorbus subochracea,29.32,95.33 +Sorbus vilmorinii,35.86,104.2 +Sorbus zayuensis,28.66,97.46 +Spenceria ramalana,30.055305,101.96483 +Spiraea calcicola,27.0983,100.175 +Spiraea daochengensis,29.037008,100.298406 +Spiraea lichiangensis,26.3,99.2 +Spiraea lobulata,29.32,95.33 +Spiraea muliensis,27.92,101.27 +Spiraea papillosa,34.544025,95.468786 +Spiraea purpurea,25.6508,98.7322 +Spiraea siccanea,26.56023,100.17643 +Spiraea velutina,28.66,97.46 +Spiraea xizangensis,28.58,92.5 +Spiraea yunnanensis,24.976725,101.487417 +Galium forrestii,27.707333,99.994667 +Galium glandulosum,28.93,99.79 +Galium prattii,30.055305,101.96483 +Leptodermis buxifolia,31.084,103.267 +Leptodermis dielsiana,26.876096,100.229945 +Leptodermis diffusa,32.435432,105.843358 +Leptodermis forrestii,28.368753,99.754265 +Leptodermis gracilis,28.045278,98.591389 +Leptodermis handeliana,27.9,101.51 +Leptodermis hirsutiflora,29.67,91.05 +Leptodermis limprichtii,30.368117,102.81464 +Leptodermis pumila,24.846283,110.451522 +Leptodermis purdomii,30.0572,102.16 +Leptodermis schneideri,30.055305,101.96483 +Leptodermis scissa,26.890689,102.110335 +Leptodermis umbellata,40.210532,116.176482 +Leptodermis velutiniflora,28.328636,103.132181 +Leptodermis wilsonii,25.584234,100.222124 +Leptodermis xizangensis,28.5,85.22 +Leptodermis yui,27.98,101.24 +Mussaenda decipiens,29.32,95.33 +Ophiorrhiza dulongensis,35.86,104.2 +Ophiorrhiza laevifolia,24.897997,103.720586 +Ophiorrhiza medogensis,29.32,95.33 +Rubia haematantha,29.39,110.16 +Rubia latipetala,31.95,108.67 +Rubia pallida,28.48611,98.911543 +Rubia polyphlebia,29.000343,101.507299 +Rubia pterygocaulis,33.27,104.23 +Rubia salicifolia,29,101.5 +Rubia tenuis,26.88,102.12 +Rubia trichocarpa,31.68,103.85 +Spiradiclis xizangensis,29.32,95.33 +Wendlandia subalpina,27.82308,99.706013 +Clausena vestita,22.823037,108.373351 +Glycosmis xizangensis,29.32,95.33 +Zanthoxylum motuoense,29.32,95.33 +Populus haoana,27.82308,99.706013 +Populus kangdingensis,30.05,101.96 +Populus lancifolia,40.13,94.67 +Populus mainlingensis,29.18,94.07 +Populus minhoensis,40,116.3 +Populus pseudoglauca,29.85,95.76 +Populus qamdoensis,31.13,97.18 +Populus schneideri,29.000343,101.507299 +Populus trinervis,31.01,102.32 +Populus wenxianica,33.2,104.42 +Populus wuana,29.85,95.76 +Populus xiangchengensis,28.93,99.79 +Populus yatungensis,35.86,104.2 +Populus yuana,27.82308,99.706013 +Salix amphibola,29.000343,101.507299 +Salix annulifera,35.86,104.2 +Salix argyrophegga,30.511499,103.481974 +Salix argyrotrichocarpa,29.32,95.33 +Salix atopantha,34.6489,100.611 +Salix austrotibetica,28.48,98.92 +Salix balfouriana,28.48611,98.911543 +Salix bangongensis,33.38,79.72 +Salix brachista,35.86,104.2 +Salix clathrata,31.82,98.58 +Salix coggygria,29.32,95.33 +Salix contortiapiculata,35.86,104.2 +Salix crenata,35.86,104.2 +Salix cyanolimnea,32.265516,100.978754 +Salix dalungensis,29.63,94.36 +Salix delavayana,28.96,102.104 +Salix dibapha,26.876096,100.229945 +Salix dissa,28.9406,102.124 +Salix divergentistyla,28.93,99.79 +Salix driophila,25.584234,100.222124 +Salix ernestii,31.13,96.9 +Salix faxonianoides,28.5733,99.8117 +Salix fengiana,35.86,104.2 +Salix floccosa,28.66,97.46 +Salix gilashanica,28.48611,98.911543 +Salix glareorum,39.17,109.15 +Salix guebriantiana,31.4881,98.2233 +Salix gyamdaensis,28.93,99.79 +Salix gyirongensis,28.563925,108.503873 +Salix heishuiensis,30.99903,102.364372 +Salix hirticaulis,35.86,104.2 +Salix jinchuanica,31.8,98.58 +Salix jishiensis,39.17,109.15 +Salix juparica,34.6489,100.611 +Salix kamanica,35.86,104.2 +Salix kangdingensis,30.05,101.97 +Salix kongbanica,28.27,88.52 +Salix kungmuensis,35.86,104.2 +Salix lanifera,30.05,101.96 +Salix lasiopes,27.48,88.9 +Salix limprichtii,29.914155,102.234618 +Salix longistamina,29.65,91.12 +Salix ludingensis,29.91,102.23 +Salix macroblasta,30.066708,102.758313 +Salix maerkangensis,31.084,103.267 +Salix magnifica,30.36,102.81 +Salix maizhokunggarensis,30.64,93.23 +Salix medogensis,27.82308,99.706013 +Salix microphyta,30.36,102.81 +Salix minjiangensis,34.58,103.5 +Salix muliensis,28.7464,100.269 +Salix neoamnematchinensis,34.3575,100.256 +Salix nujiangensis,35.86,104.2 +Salix occidentalisinensis,31.62,99.99 +Salix ochetophylla,29.496119,103.398589 +Salix opsimantha,32.5572,98.0625 +Salix oreinoma,36.519977,103.891767 +Salix oritrepha,34.6489,100.611 +Salix ovatomicrophylla,32.6608,98.0481 +Salix paraflabellaris,35.86,104.2 +Salix paraheterochroma,28.17,85.98 +Salix paratetradenia,28.48611,98.911543 +Salix parvidenticulata,28.85,85.29 +Salix pella,30.066708,102.758313 +Salix phaidima,30.511499,103.481974 +Salix phanera,30.511499,103.481974 +Salix pilosomicrophylla,29.32,95.33 +Salix piptotricha,29.63,94.36 +Salix plocotricha,32.44,104.55 +Salix pseudospissa,31.62,99.99 +Salix pseudowolohoensis,26.876096,100.229945 +Salix qinghaiensis,32.95,104.68 +Salix resecta,25.584234,100.222124 +Salix resectoides,35.86,104.2 +Salix rhododendrifolia,32.637983,103.59895 +Salix rockii,35.149293,100.618093 +Salix sclerophylloides,31.13,97.18 +Salix scopulicola,35.86,104.2 +Salix souliei,28.35861,98.78694 +Salix sphaeronymphe,27.928607,101.279419 +Salix sphaeronymphoides,31.13,97.18 +Salix spodiophylla,35.86,104.2 +Salix taoensis,36.89,100.99 +Salix tenella,25.012526,102.700013 +Salix trichocarpa,33.176944,97.379444 +Salix vaccinioides,35.86,104.2 +Salix weixiensis,27.177166,99.28717 +Salix wolohoensis,29.22,102.35 +Salix wuxuhaiensis,30.055305,101.96483 +Salix xizangensis,29.32,95.33 +Salix yadongensis,27.48,88.9 +Salix yumenensis,42.28,125.74 +Salix zangica,29.2189,101.516 +Salix zayunica,29.32,95.33 +Salix zhegushanica,31.80612,98.580912 +Salix zhouquensis,39.17,109.15 +Arceuthobium pini,29.044722,99.711389 +Arceuthobium tibetense,28.75,94 +Thesium bomiense,29.85,95.76 +Thesium jarmilae,37.445,105.044998 +Thesium longiflorum,28.66,97.46 +Thesium orgadophilum,23.351747,113.411891 +Thesium ramosoides,30.710589,104.088668 +Thesium remotebracteatum,28.48611,98.911543 +Thesium tongolicum,29.87,95.77 +Acer chienii,35.86,104.2 +Acer forrestii,27.707333,99.994667 +Acer fulvescens,36.519977,103.891767 +Acer oligocarpum,35.86,104.2 +Acer pentaphyllum,36.519977,103.891767 +Acer pluridense,36.519977,103.891767 +Acer tibetense,31.712092,88.118532 +Acer yui,33.784801,104.371458 +Bergenia tianquanensis,30.06,102.75 +Chrysosplenium absconditicapsulum,29.65,91.12 +Chrysosplenium fuscopuncticulosum,28.48611,98.911543 +Chrysosplenium lixianense,26.58,114.1 +Chrysosplenium oxygraphoides,31.712092,88.118532 +Chrysosplenium sikangense,35.86,104.2 +Saxifraga angustata,28.932073,99.79929 +Saxifraga atrata,36.36,101.448056 +Saxifraga atuntsiensis,28.46357,98.91699 +Saxifraga aurantiaca,25.584234,100.222124 +Saxifraga auriculata,30.05,101.96 +Saxifraga baimashanensis,28.48611,98.911543 +Saxifraga bijiangensis,28.8754,93.113 +Saxifraga brachypodoidea,29.54,103.36 +Saxifraga brevicaulis,29.15,92.58 +Saxifraga bulleyana,26.876096,100.229945 +Saxifraga cacuminum,28.93,99.79 +Saxifraga candelabrum,27.866333,99.7007 +Saxifraga cardiophylla,28.93,99.79 +Saxifraga carnosula,28.576111,99.825833 +Saxifraga champutungensis,27.740736,98.66582 +Saxifraga chionophila,27.82308,99.706013 +Saxifraga chrysanthoides,26.876096,100.229945 +Saxifraga cinerascens,26.876096,100.229945 +Saxifraga culcitosa,30.055305,101.96483 +Saxifraga daochengensis,28.66,97.46 +Saxifraga decussata,21.61,108.05 +Saxifraga densifoliata,30.05,101.96 +Saxifraga deqenensis,28.48611,98.911543 +Saxifraga dianxibeiensis,26.876096,100.229945 +Saxifraga diapensia,28.596944,99.867778 +Saxifraga dielsiana,35.86,104.2 +Saxifraga diffusicallosa,27.48,88.9 +Saxifraga dingqingensis,29.54,103.36 +Saxifraga divaricata,28.93,99.79 +Saxifraga doyalana,29.54,103.36 +Saxifraga drabiformis,28.47,90.58 +Saxifraga draboides,27.032878,100.174272 +Saxifraga dshagalensis,29.54,103.36 +Saxifraga eglandulosa,29.58,95 +Saxifraga egregia,32.15,97.045 +Saxifraga egregioides,29.32,95.33 +Saxifraga elliotii,32.775339,103.623545 +Saxifraga erectisepala,34.43,104.03 +Saxifraga finitima,28.497222,98.956389 +Saxifraga flaccida,28.85,85.29 +Saxifraga flexilis,31.8,98.58 +Saxifraga forrestii,26.876096,100.229945 +Saxifraga gedangensis,29.32,95.33 +Saxifraga glacialis,28.93,99.79 +Saxifraga glaucophylla,29.32,95.33 +Saxifraga gonggashanensis,28.93,99.8 +Saxifraga gyalana,30.05,96.91 +Saxifraga haplophylloides,28,91.95 +Saxifraga heteroeladoides,29.54,103.36 +Saxifraga heterotricha,29.97,93.68 +Saxifraga hypericoides,27.92,101.27 +Saxifraga implicans,28.71,99.28 +Saxifraga insolens,35.86,104.2 +Saxifraga isophylla,29.58,95 +Saxifraga jainzhuglaensis,29.85,95.76 +Saxifraga kongboensis,29.63,94.36 +Saxifraga linearifolia,26.876096,100.229945 +Saxifraga litangensis,28.63,92.22 +Saxifraga lixianensis,28.6,118.516701 +Saxifraga loripes,29.54,103.36 +Saxifraga ludlowii,27.6961,98.4553 +Saxifraga lumpuensis,34.69,103.35 +Saxifraga lushuiensis,35.86,104.2 +Saxifraga macrostigmatoides,35.86,104.2 +Saxifraga maxionggouensis,29.54,103.36 +Saxifraga medogensis,29.32,95.33 +Saxifraga microgyna,28.48611,98.911543 +Saxifraga miralana,29,93.98 +Saxifraga monantha,35.86,104.2 +Saxifraga nakaoides,28,91.95 +Saxifraga nambulana,29.54,103.36 +Saxifraga nana,34.633333,99.733333 +Saxifraga nanelloides,28.48611,98.911543 +Saxifraga nangqenica,29.54,103.36 +Saxifraga nangxianensis,29.65,91.12 +Saxifraga omphalodifolia,29.32,95.33 +Saxifraga oresbia,29.037008,100.298406 +Saxifraga paiquensis,0,0 +Saxifraga pardanthina,28.93,99.79 +Saxifraga parkaensis,30.29,81.17 +Saxifraga parvula,26.901731,98.869207 +Saxifraga pellucida,29.6375,98.90833 +Saxifraga peplidifolia,27.42,101.5 +Saxifraga pratensis,28.93,99.79 +Saxifraga prattii,30.05,101.96 +Saxifraga przewalskii,33.75,97.05 +Saxifraga pulchra,26.876096,100.229945 +Saxifraga punctulatoides,28.849247,91.998363 +Saxifraga rizhaoshanensis,29.54,103.36 +Saxifraga rotundipetala,29.85,95.76 +Saxifraga sanguinea,30.05,101.96 +Saxifraga sediformis,22.555882,99.932102 +Saxifraga sessiliflora,28.65,87.12 +Saxifraga sheqilaensis,29.63,94.36 +Saxifraga signata,32.77,96.67 +Saxifraga signatella,28.53,92.42 +Saxifraga stellariifolia,35.86,104.2 +Saxifraga subaequifoliata,35.86,104.2 +Saxifraga subamplexicaulis,34.365,100.193 +Saxifraga subomphalodifolia,29.54,103.36 +Saxifraga subternata,29.65,94.366667 +Saxifraga subtsangchanensis,29.85,95.76 +Saxifraga taraktophylla,29.63,94.36 +Saxifraga tibetica,33.290107,101.112238 +Saxifraga tigrina,29.22,94.22 +Saxifraga triaristulata,28.596944,99.867778 +Saxifraga tsangchanensis,28.5733,99.8117 +Saxifraga versicallosa,35.86,104.2 +Saxifraga wardii,29.609126,94.654199 +Saxifraga wenchuanensis,29.54,103.36 +Saxifraga yarlungzangboensis,29,93.97 +Saxifraga yezhiensis,27.177166,99.28717 +Saxifraga yushuensis,32.77,96.67 +Saxifraga zayuensis,28.48611,98.911543 +Saxifraga zekoensis,35.03,101.47 +Saxifraga zhidoensis,33.85,95.62 +Buddleja agathosma,25.012526,102.700013 +Buddleja fallowiana,36.519977,103.891767 +Buddleja hookeri,25.13,108 +Buddleja minima,34.43,104.03 +Buddleja tsetangensis,29.58,94.92 +Buddleja wardii,29.75,91.55 +Smilax bapouensis,35.86,104.2 +Smilax jiankunii,35.86,104.2 +Smilax lushuiensis,35.86,104.2 +Lycianthes solitaria,28.66,97.46 +Przewalskia tangutica,33.1567,96.6483 +Turpinia macrosperma,35.86,104.2 +Rehderodendron gongshanense,35.86,104.2 +Symplocos xylopyrena,29.32,95.33 +Stewartia medogensis,29.32,95.33 +Daphne aurantiaca,26.876096,100.229945 +Daphne erosiloba,31.82,98.58 +Daphne gemmata,31.4703,103.2172 +Daphne holosericea,28.48611,98.911543 +Daphne limprichtii,30.1469,101.86 +Daphne longilobata,35.86,104.2 +Daphne macrantha,31.712092,88.118532 +Daphne modesta,29.141111,99.928333 +Daphne purpurascens,27.772214,100.141242 +Daphne tenuiflora,32.272222,103.743889 +Daphne tripartita,29.000343,101.507299 +Wikstroemia alternifolia,25.041504,102.713329 +Wikstroemia baimashanensis,28.93,93.22 +Wikstroemia capitato-racemosa,28.48611,98.911543 +Wikstroemia delavayi,29.000343,101.507299 +Wikstroemia haoi,33.222857,107.545509 +Wikstroemia lamatsoensis,25.041504,102.713329 +Wikstroemia leptophylla,27.82308,99.706013 +Wikstroemia lichiangensis,32.4469,98.0092 +Wikstroemia linearifolia,30.93917,100.311366 +Wikstroemia lungtzeensis,28.93,93.22 +Wikstroemia paxiana,32.272222,103.743889 +Wikstroemia scytophylla,26.87,100.23 +Wikstroemia stenophylla,31.4697,103.5925 +Wikstroemia techinensis,28.48611,98.911543 +Sparganium confertum,35.86,104.2 +Sparganium limosum,29.32,95.33 +Ulmus microcarpa,28.66,97.46 +Elatostema acutitepalum,35.86,104.2 +Elatostema angustitepalum,29.32,95.33 +Elatostema auriculatum,27.8947,98.6658 +Elatostema beibengense,29.32,95.33 +Elatostema boehmerioides,29.32,95.33 +Elatostema cuneiforme,29.32,95.33 +Elatostema didymocephalum,29.32,95.33 +Elatostema dissectoides,35.86,104.2 +Elatostema dulongense,35.86,104.2 +Elatostema eriocephalum,29.32,95.33 +Elatostema ferrugineum,35.86,104.2 +Elatostema gungshanense,35.86,104.2 +Elatostema laxicymosum,29.32,95.33 +Elatostema lihengianum,27.7431,98.3469 +Elatostema litseifolium,29.32,95.33 +Elatostema medogense,29.32,95.33 +Elatostema platyceras,35.86,104.2 +Elatostema pseudocuspidatum,35.86,104.2 +Elatostema recticaudatum,29.32,95.33 +Elatostema tenuicaudatoides,35.86,104.2 +Elatostema tetratepalum,29.32,95.33 +Laportea medogensis,29.32,95.33 +Pilea auricularis,29.32,95.33 +Pilea macrocarpa,29.32,95.33 +Pilea multicellularis,35.86,104.2 +Pilea myriantha,0,0 +Pilea pauciflora,35.20256,102.521732 +Pilea pellionioides,35.86,104.2 +Urtica triangularis,32.091111,97.271667 +Acanthochlamys bracteata,28.93,99.79 +Viola confertifolia,19.200505,109.74159 +Viola forrestiana,29.3,94.35 +Viola muliensis,30.511499,103.481974 +Viola urophylla,26.876096,100.229945 +Ampelopsis acutidentata,28.8436,98.6642 +Ampelopsis gongshanensis,35.86,104.2 +Ampelopsis mollifolia,27.42,101.5 +Cayratia kiujiangensis,35.86,104.2 +Cayratia medogensis,29.326875,95.328655 +Parthenocissus chinensis,27.794,101.211 +Tetrastigma xizangense,29.32,95.33 +Eremurus chinensis,28.795,99.8372 +Hemerocallis forrestii,27.079724,100.235881 +Hemerocallis nana,27.82308,99.706013 +Hedychium efilamentosum,28.02,98.6175 +Hedychium parvibracteatum,29.85,95.76 +Hornstedtia tibetica,29.32,95.33 +Roscoea forrestii,26.479225,98.808807 +Roscoea humeana,27.078768,100.259399 +Roscoea schneideriana,29.0906,99.6747 +Roscoea scillifolia,35.86,104.2 +,24.907204,113.061274 +绉嶆媺涓佸悕 Latin name of species,39.836178,115.574047 +Dendrolycopodium obscurum,43.7,127.139 +Dendrolycopodium verticale,29.532668,103.387554 +Diphasiastrum complanatum,25.75,100.08 +Diphasiastrum multispicatum,22.983563,103.687613 +Diphasiastrum veitchii,28.3,90.85 +Huperzia appressa,31.9544,98.9128 +Huperzia herteriana,29.914155,102.234618 +Huperzia javanica,23.283825,114.017797 +Huperzia lajouensis,28.67,97.47 +Huperzia selago,25.584234,100.222124 +Lycopodium japonicum,28.04,85.98 +Lycopodium zonatum,29.85,95.76 +Palhinhaea cernua,22.63346,114.306992 +Phlegmariurus cancellatus,29.85,95.76 +Phlegmariurus fargesii,29.85,95.76 +Phlegmariurus nylamensis,29.32,95.33 +Phlegmariurus phlegmaria,18.74,109.17 +Phlegmariurus pulcherrimus,23.28,111.9 +Phlegmariurus squarrosus,25.60168,110.585686 +Phlegmariurus subulifolius,41.27754,112.635366 +Selaginella albocincta,27.82308,99.706013 +Selaginella algida,39,74.43 +Selaginella amblyphylla,29.32,95.33 +Selaginella bisulcata,22.273056,111.162778 +Selaginella chrysocaulos,25.045286,102.709729 +Selaginella davidii,24.95,111.016667 +Selaginella delicatula,22.51,110.48 +Selaginella densiciliata,26.993507,100.194458 +Selaginella effusa,23.22,108.22 +Selaginella helferi,25.045286,102.709729 +Selaginella helvetica,43.852,127.679 +Selaginella heterostachys,28.457929,113.415533 +Selaginella indica,25.584234,100.222124 +Selaginella involvens,29.83,102.83 +Selaginella jiulongensis,29.000343,101.507299 +Selaginella labordei,30,94.9 +Selaginella megaphylla,29.32,95.33 +Selaginella moellendorffii,30.196022,119.366283 +Selaginella monospora,25.045286,102.709729 +Selaginella nipponica,30.031536,122.116406 +Selaginella nummularifolia,29.04,93.07 +Selaginella pallidissima,29.58,94.92 +Selaginella picta,29.32,95.33 +Selaginella pulvinata,26.993507,100.194458 +Selaginella remotifolia,26.604661,106.684092 +Selaginella sanguinolenta,41.025014,118.804597 +Selaginella tibetica,26.876096,100.229945 +Selaginella vaginata,25.584234,100.222124 +Selaginella vardei,30.0833,102.16 +Selaginella wallichii,23.9,106.61 +Equisetum arvense,29.651825,91.0778 +Equisetum diffusum,23.763342,98.82524 +Equisetum fluviatile,43.12,128.9 +Equisetum palustre,29.48,94.98 +Equisetum ramosissimum,36.519977,103.891767 +Equisetum ramosissimum subsp. debile,27.895,108.6464 +Psilotum nudum,24.07,114.17 +Botrychium lunaria,32.95,104.68 +Botrypus virginianus,30.75,115.67 +Japanobotrychum lanuginosum,29.9906,95.3197 +Ophioglossum nudicaule,29.05,92.93 +Ophioglossum reticulatum,25.045286,102.709729 +Ophioglossum vulgatum,30.6175,102.075556 +Sceptridium daucifolium,23.437468,104.672252 +Sceptridium robustum,22.01071,100.799775 +Sceptridium ternatum,27.616809,115.715408 +Angiopteris esculenta,25.116213,99.162598 +Angiopteris wallichiana,24.433739,98.588637 +Christensenia aesculifolia,25.045286,102.709729 +Claytosmunda claytoniana,36.519977,103.891767 +Osmunda japonica,30.87,120.1 +Crepidomanes bipunctatum,0,0 +Crepidomanes latealatum,0,0 +Crepidomanes schmidianum,23.012914,104.394161 +Didymoglossum sublimbatum,0,0 +Hymenophyllum badium,25.045286,102.709729 +Hymenophyllum corrugatum,25.75,100.08 +Hymenophyllum denticulatum,18.626309,109.700342 +Hymenophyllum exsertum,28.007222,98.591944 +Hymenophyllum fumarioides,27.177166,99.28717 +Hymenophyllum levingei,27.740736,98.66582 +Hymenophyllum longissimum,27.42,101.5 +Hymenophyllum polyanthos,29.92,94.88 +Hymenophyllum simonsianum,29.32,95.33 +Vandenboschia auriculata,23.437468,104.672252 +Vandenboschia striata,25.65,118.24 +Dipteris wallichii,29.32,95.33 +Dicranopteris ampla,25.020615,98.490007 +Dicranopteris linearis,23.185814,113.292221 +Dicranopteris splendida,25.045286,102.709729 +Diplopterygium blotianum,23.25013,111.266023 +Diplopterygium giganteum,25.75,100.1 +Diplopterygium laevissimum,25.87416,110.41843 +Lygodium japonicum,29.952367,95.507775 +Lygodium microphyllum,23.185814,113.292221 +Lygodium salicifolium,25.3889,98.8633 +Azolla pinnata,29.98515,121.627783 +Plagiogyria glauca,27.177166,99.28717 +Plagiogyria pycnophylla,26.480833,98.805556 +Cibotium barometz,25.045286,102.709729 +Alsophila costularis,29.32,95.33 +Alsophila spinulosa,24.046484,105.055261 +Gymnosphaera andersonii,29.32,95.33 +Gymnosphaera khasyana,29.32,95.33 +Sphaeropteris brunoniana,24.705249,97.931861 +Lindsaea ensifolia,25.045286,102.709729 +Odontosoria chinensis,25.27,110.29 +Osmolindsaea odorata,26.588884,107.977112 +Adiantum breviserratum,38.073254,104.69114 +Adiantum capillus-veneris,27.079195,100.258415 +Adiantum davidii,31.213944,111.388269 +Adiantum edgeworthii,24.9667,102.633 +Adiantum fimbriatum,29.58,94.92 +Adiantum pedatum,44.609,130.332 +Adiantum philippense,23.9,106.61 +Adiantum refractum,24.976725,101.487417 +Adiantum roborowskii,30.332778,102.853056 +Adiantum tibeticum,28.85,85.29 +Adiantum venustum,31.92,102.05 +Aleuritopteris albofusca,24.9333,102.483 +Aleuritopteris albomarginata,28.85,85.29 +Aleuritopteris anceps,25.045286,102.709729 +Aleuritopteris argentea,25.045286,102.709729 +Aleuritopteris chrysophylla,27.69,108.85 +Aleuritopteris duclouxii var. sulphurea,28.54,102.17 +Aleuritopteris duthiei,23.125462,104.702829 +Aleuritopteris formosana,25.584234,100.222124 +Aleuritopteris grisea,29.0906,99.6747 +Aleuritopteris kuhnii,29.0758,99.9189 +Aleuritopteris leptolepis,29.03,93.15 +Aleuritopteris niphobola,32.1208,97.035 +Aleuritopteris pygmaea,29.65,91.12 +Aleuritopteris speciosa,30.65,97.56 +Aleuritopteris subdimorpha,24.976725,101.487417 +Aleuritopteris subvillosa,25.045286,102.709729 +Aleuritopteris subvillosa var. tibetica,26.876096,100.229945 +Aleuritopteris veitchii,26.56023,100.17643 +Anogramma leptophylla,30.663372,113.16653 +Antrophyum callifolium,18.626309,109.700342 +Antrophyum formosanum,24.5,105.1 +Antrophyum obovatum,30.06,102.75 +Antrophyum wallichianum,25.045286,102.709729 +Ceratopteris thalictroides,29.519367,103.332647 +Cheilanthes brausei,26.489722,98.891389 +Cheilanthes hancockii,24.976725,101.487417 +Cheilanthes insignis,29.14,92.59 +Cheilanthes nitidula,32.95,104.68 +Cheilanthes tibetica,27.129292,100.235176 +Coniogramme affinis,25.306072,98.7771 +Coniogramme emeiensis,31.246761,103.822303 +Coniogramme fraxinea,29.5367,107.2833 +Coniogramme intermedia,41.896,126.657 +Coniogramme intermedia var. glabra,27.740736,98.66582 +Coniogramme japonica,28.38,115.8 +Coniogramme procera,29.496119,103.398589 +Coniogramme pubescens,24.012775,97.851888 +Coniogramme rosthornii,25.045286,102.709729 +Cryptogramma brunoniana,27.82308,99.706013 +Cryptogramma raddeana,30.055203,101.964878 +Cryptogramma stelleri,27.605278,99.885833 +Haplopteris doniana,24.8309,98.768 +Haplopteris elongata,30.023401,108.185012 +Haplopteris flexuosa,23.812642,113.953351 +Haplopteris hainanensis,18.252625,109.511923 +Haplopteris himalayensis,26.890689,102.110335 +Haplopteris linearifolia,29.9,94.87 +Haplopteris mediosora,27.723889,98.415833 +Haplopteris sikkimensis,23.012914,104.394161 +Haplopteris taeniophylla,24.175587,110.235565 +Haplopteris zosterifolia,19.23,109.45 +Onychium cryptogrammoides,27.3775,100.136111 +Onychium japonicum,24.32306,109.49222 +Onychium japonicum var. lucidum,36.519977,103.891767 +Onychium siliculosum,19.254108,110.45517 +Onychium tibeticum,30.0092,94.9669 +Paraceterach bipinnata,28.795,99.8372 +Paraceterach vestita,29.141944,99.649722 +Paragymnopteris bipinnata var. auriculata,25.827253,100.575146 +Paragymnopteris delavayi,28.95325,99.758861 +Paragymnopteris marantae,29.65,91.05 +Paragymnopteris sargentii,29.62,98.33 +Pityrogramma calomelanos,22.54,114.05 +Pteris actiniopteroides,25.012526,102.700013 +Pteris amoena,25.2975,98.7953 +Pteris arisanensis,27.085833,98.866944 +Pteris aspericaulis,25.045286,102.709729 +Pteris aspericaulis var. cuspigera,27.730833,98.402778 +Pteris aspericaulis var. subindivisa,29.32,95.33 +Pteris biaurita,18.626309,109.700342 +Pteris biaurita subsp. fornicata,18.626309,109.700342 +Pteris bomiensis,30.4578,100.302 +Pteris cretica,22.01071,100.799775 +Pteris cretica var. laeta,25.405097,110.440546 +Pteris dactylina,27.03,100.23 +Pteris ensiformis,25.045286,102.709729 +Pteris esquirolii,26.2,107.05 +Pteris fauriei,24.976725,101.487417 +Pteris gallinopes,29.887732,110.032936 +Pteris gracillima,29.32,95.33 +Pteris grevilleana,22.529465,103.939279 +Pteris henryi,25.664325,102.650987 +Pteris kiuschiuensis var. centrochinensis,24.44,114.93 +Pteris linearis,25.045286,102.709729 +Pteris longipes,22.697654,100.860736 +Pteris medogensis,29.32,95.33 +Pteris multifida,29.83,102.83 +Pteris plumbea,28.253586,121.022805 +Pteris pseudodactylina,28.66,97.46 +Pteris pseudopellucida,22.529465,103.939279 +Pteris puberula,0,0 +Pteris rufopilosa,0,0 +Pteris scabririgens,0,0 +Pteris semipinnata,0,0 +Pteris setulosocostulata,0,0 +Pteris terminalis,30,94.9 +Pteris vittata,30,103 +Pteris wallichiana,28.0392,85.9858 +Dennstaedtia appendiculata,28.36,87.76 +Dennstaedtia hirsuta,28.36925,121.049964 +Dennstaedtia scabra,25.012526,102.700013 +Histiopteris incisa,23.437468,104.672252 +Hypolepis alpina,29.671778,115.989221 +Hypolepis punctata,29.010101,114.41263 +Microlepia firma,24.615701,100.709787 +Microlepia hookeriana,24.175587,110.235565 +Microlepia khasiyana,22.555882,99.932102 +Microlepia macrorhomboidea,26.4,110.8 +Microlepia marginata var. calvescens,31.579934,120.299456 +Microlepia platyphylla,24.976725,101.487417 +Microlepia pseudostrigosa,25.255089,110.050532 +Microlepia rhomboidea,25.045286,102.709729 +Microlepia singhii,26.4,110.8 +Microlepia speluncae,24.33566,116.625881 +Microlepia trapeziformis,23.531078,99.411861 +Monachosorum henryi,22.290278,111.217222 +Pteridium aquilinum var. latiusculum,43.28,126.51 +Pteridium revolutum,25.045286,102.709729 +Acystopteris tenuisecta,24.959011,110.807773 +Cystopteris dickieana,30.29,81.17 +Cystopteris fragilis,40.753597,87.900772 +Cystopteris kansuana,29.88,93.24 +Cystopteris modesta,32.63,117.05 +Cystopteris montana,32.066667,97.033333 +Cystopteris moupinensis,30,93.93 +Cystopteris pellucida,34.05,111.04 +Cystopteris tibetica,28.48611,98.911543 +Gymnocarpium jessoense,29.5864,102.028 +Gymnocarpium oyamense,30.76489,103.200803 +Diplaziopsis javanica,22.75515,103.95675 +Asplenium bullatum,27.740736,98.66582 +Asplenium ceterach,44.32,85.61 +Asplenium ensiforme,26.901731,98.869207 +Asplenium exiguum,25.03926,102.561321 +Asplenium finlaysonianum,29.32,95.33 +Asplenium griffithianum,25.045286,102.709729 +Asplenium gueinzianum,24.615701,100.709787 +Asplenium indicum,29.69,111.02 +Asplenium nesii,32.8792,97.0675 +Asplenium nidus,40.02,116.21 +Asplenium nitidum,46.599998,131 +Asplenium normale,30.273977,120.172974 +Asplenium oblanceolatum,27.376188,102.539939 +Asplenium paucivenosum,29.32,95.33 +Asplenium pekinense,40.009403,116.203123 +Asplenium phyllitidis,29.32,95.33 +Asplenium polyodon,23.140278,106.422778 +Asplenium prolongatum,24.91,113.049 +Asplenium quadrivalens,25.8,110 +Asplenium ruta-muraria,43.79,87.63 +Asplenium scortechinii,18.74,109.17 +Asplenium septentrionale,28.12,87.33 +Asplenium tenuicaule,28.48611,98.911543 +Asplenium tenuicaule var. subvarians,24.976725,101.487417 +Asplenium trapezoideum,29.32,95.33 +Asplenium trichomanes,31.79,115.4 +Asplenium tripteropus,28.448987,117.907848 +Asplenium unilaterale,24.93,105.84 +Asplenium varians,21.475834,101.56752 +Asplenium viride,26.072642,119.298542 +Asplenium wrightii,23.437468,104.672252 +Asplenium yoshinagae,27.392869,114.619889 +Hymenasplenium cheilosorum,22.653799,108.310905 +Hymenasplenium excisum,29.277456,95.250769 +Hymenasplenium furfuraceum,25.670153,99.958012 +Hymenasplenium tholiforme,38.073254,104.69114 +Woodsia andersonii,29.67,94.4 +Woodsia cycloloba,24.976725,101.487417 +Woodsia elongata,25.827253,100.575146 +Woodsia glabella,41.451,127.92 +Woodsia lanosa,29.65,91.12 +Woodsia rosthorniana,25.584234,100.222124 +Matteuccia struthiopteris,40.036111,116.273333 +Pentarhizidium intermedium,29.92,94.88 +Pentarhizidium orientale,28.811111,120.920278 +Blechnidium melanopus,29.32,95.33 +Blechnopsis orientalis,24.742369,114.530131 +Stenochlaena palustris,18.626309,109.700342 +Woodwardia unigemmata,30.326945,102.864444 +Anisocampium cuspidatum,25.798259,107.113963 +Athyrium aberrans,29.11,95.08 +Athyrium anisopterum,24.976725,101.487417 +Athyrium atkinsonii,25.045286,102.709729 +Athyrium attenuatum,25.275367,103.003972 +Athyrium austro-orientale,29.157849,107.099276 +Athyrium biserrulatum,25.3667,102.75 +Athyrium bomicola,38.073254,104.69114 +Athyrium bucahwangense,29.32,95.33 +Athyrium clarkei,26.360278,109.836667 +Athyrium contingens,29.496119,103.398589 +Athyrium criticum,28.66,97.46 +Athyrium davidii,29.85,95.76 +Athyrium delicatulum,25.045286,102.709729 +Athyrium dentigerum,27.177166,99.28717 +Athyrium dentilobum,29.32,95.33 +Athyrium devolii,24.705249,97.931861 +Athyrium drepanopterum,28.661276,97.466916 +Athyrium dubium,30.1711,101.869 +Athyrium exindusiatum,29.32,95.33 +Athyrium fimbriatum,27.48,88.9 +Athyrium foliolosum,24.580446,99.92854 +Athyrium iseanum,30.663372,113.166529 +Athyrium mackinnonorum,38.073254,104.69114 +Athyrium mackinnonorum var. glabratum,27.117106,112.367081 +Athyrium mackinnonorum var. yigongense,27.117106,112.367081 +Athyrium medogense,29.32,95.33 +Athyrium mehrae,24.813333,98.782778 +Athyrium nakanoi,27.740736,98.66582 +Athyrium nephrodioides,31.905842,102.206261 +Athyrium nyalamense,29.32,95.33 +Athyrium pectinatum,28.85,85.29 +Athyrium puncticaule,25.020615,98.490007 +Athyrium rhachidosorum,28.48611,98.911543 +Athyrium rupicola,30.055305,101.96483 +Athyrium schizochlamys,24.976725,101.487417 +Athyrium sericellum,29.157849,107.099276 +Athyrium silvicola,23.437468,104.672252 +Athyrium subtriangulare,29.68,94.72 +Athyrium tozanense,24.78,112.38 +Athyrium vidalii,27.379133,114.010423 +Athyrium wallichianum,27.991389,98.476667 +Athyrium zayuense,28.67,97.47 +Cornopteris latiloba,27.740736,98.66582 +Cornopteris opaca,25.742153,110.040007 +Deparia acuta,30.0058,93.9231 +Deparia acuta var. bagaensis,30.0058,93.9231 +Deparia boryana,25.045286,102.709729 +Deparia dickasonii,23.3752,104.8218 +Deparia heterophlebia,23.437468,104.672252 +Deparia japonica,27.543211,113.833502 +Deparia lancea,27.192765,113.926636 +Deparia longipes,25.045286,102.709729 +Deparia medogensis,30.0058,93.9231 +Deparia petersenii,25.0667,102.617 +Deparia sichuanensis,29.5997,102.0583 +Deparia sikkimensis,35.86,104.2 +Deparia wilsonii,27.774167,98.447222 +Deparia wilsonii var. muliensis,29.57,94.54 +Diplazium alatum,29.6,103.48 +Diplazium apicisorum,38.073254,104.69114 +Diplazium bellum,29,109.85 +Diplazium chittagongense,38.073254,104.69114 +Diplazium dilatatum,27.183628,113.90812 +Diplazium donianum,21.475834,101.56752 +Diplazium esculentum,22.695694,112.225341 +Diplazium esculentum var. pubescens,22.01071,100.799775 +Diplazium forrestii,29.32,95.33 +Diplazium giganteum,25.594607,107.543621 +Diplazium glingense,38.073254,104.69114 +Diplazium griffithii,24.38,106 +Diplazium himalayense,24.615701,100.709787 +Diplazium hirsutipes,24.688873,101.641935 +Diplazium hirtipes,26.67,106.33 +Diplazium latipinnulum,29.32,95.33 +Diplazium laxifrons,24.780744,112.377423 +Diplazium lobulosum,27.7325,98.402222 +Diplazium maximum,18.900556,109.707778 +Diplazium medogense,30.0058,93.9231 +Diplazium multicaudatum,38.073254,104.69114 +Diplazium muricatum,38.073254,104.69114 +Diplazium namdaphaense,38.073254,104.69114 +Diplazium nanolobum,38.073254,104.69114 +Diplazium paleaceum,28.401089,99.451408 +Diplazium panigrahianum,38.073254,104.69114 +Diplazium pseudocrinipes,38.073254,104.69114 +Diplazium sarojiniae,38.073254,104.69114 +Diplazium sikkimense,24.705249,97.931861 +Diplazium singhii,38.073254,104.69114 +Diplazium spectabile,25.045286,102.709729 +Diplazium squamigerum,31.824099,108.629497 +Diplazium subdoederleinii,38.073254,104.69114 +Diplazium subspectabile,29.32,95.33 +Diplazium succulentum,24.615701,100.709787 +Diplazium tibeticum,26.901731,98.869207 +Diplazium tirapense,38.073254,104.69114 +Diplazium viridissimum,24.915556,98.756389 +Cyclogramma auriculata,28.48611,98.911543 +Cyclogramma leveillei,22.010889,100.79926 +Cyclogramma tibetica,29.32,95.33 +Cyclosorus aridus,29.671778,115.989221 +Cyclosorus articulatus,38.073254,104.69114 +Cyclosorus crinipes,22.008084,111.000731 +Cyclosorus dentatus,25.65,118.24 +Cyclosorus evolutus,23.125462,104.702829 +Cyclosorus gustavii,38.073254,104.69114 +Cyclosorus jaculosus,27.77,120.01 +Cyclosorus medogensis,29.32,95.33 +Cyclosorus molliusculus,25.045286,102.709729 +Cyclosorus papilio,23,102.4 +Cyclosorus parasiticus,25.045286,102.709729 +Cyclosorus procerus,38.073254,104.69114 +Cyclosorus siamensis,23.37,116.7 +Cyclosorus truncatus,24.7,117.31 +Cyclosorus wulingshanensis,21.475834,101.56752 +Glaphyropteridopsis erubescens,25.045286,102.709729 +Leptogramma himalaica,27.768611,98.639167 +Macrothelypteris ornata,24.012775,97.851888 +Macrothelypteris torresiana,22.660358,114.410888 +Metathelypteris flaccida,24.046484,105.055261 +Metathelypteris uraiensis var. tibetica,29.32,95.33 +Parathelypteris glanduligera,27.616809,115.715408 +Phegopteris connectilis,30.01,94.97 +Phegopteris tibetica,27.129292,100.235176 +Pronephrium lakhimpurense,24.466672,112.626493 +Pronephrium medogensis,29.326875,95.328655 +Pronephrium nudatum,25.045286,102.709729 +Pronephrium parishii,25.045286,102.709729 +Pronephrium penangianum,28.385228,114.780982 +Pronephrium triphyllum,23.59,111.7 +Pseudocyclosorus canus,29.32,95.33 +Pseudocyclosorus esquirolii,26.489722,98.891389 +Pseudocyclosorus falcilobus,22.464142,107.839351 +Pseudocyclosorus ornatipes,28.089,99.7203 +Pseudocyclosorus tibeticus,29.7786,94.7247 +Pseudocyclosorus torrentis,24.705249,97.931861 +Pseudocyclosorus tylodes,22.446542,111.031652 +Pseudocyclosorus zayuensis,27.740736,98.66582 +Pseudophegopteris aurita,27.201485,113.890686 +Pseudophegopteris brevipes,24.705249,97.931861 +Pseudophegopteris hirtirachis,26.448333,98.766111 +Pseudophegopteris levingei,30.0058,93.9231 +Pseudophegopteris microstegia,27.177166,99.28717 +Pseudophegopteris pyrrhorhachis,29.427694,107.768167 +Pseudophegopteris pyrrhorhachis var. glabrata,22.983563,103.687613 +Pseudophegopteris rectangularis,25.584234,100.222124 +Pseudophegopteris tibetana,28.17,85.98 +Pseudophegopteris yigongensis,27.201485,113.890686 +Pseudophegopteris zayuensis,26.0189,98.6256 +Trigonospora caudipinna,22.608863,114.54586 +Trigonospora ciliata,22.695694,112.225341 +Hypodematium hirsutum,27.2536,100.153 +Leucostegia truncata,25.532528,102.404938 +Arachniodes coniifolia,29.972479,122.308315 +Arachniodes gigantea,22.99417,102.392353 +Arachniodes simplicior,29.001441,109.851254 +Arachniodes superba,26.49,98.824167 +Bolbitis angustipinna,21.475834,101.56752 +Bolbitis costata,24.705249,97.931861 +Bolbitis heteroclita,21.91974,101.269368 +Bolbitis hookeriana,38.073254,104.69114 +Bolbitis medogensis,29.32,95.33 +Bolbitis sinensis,25.045286,102.709729 +Bolbitis tibetica,29.32,95.33 +Ctenitis subglandulosa,27.11015,108.108056 +Cyrtomium anomophyllum,29.9669,94.8497 +Cyrtomium caryotideum,30.066425,102.7586 +Cyrtomium macrophyllum,24.976725,101.487417 +Cyrtomium muticum,24.976725,101.487417 +Cyrtomium omeiense,30.077108,102.983458 +Dryopteris acutodentata,28.9208,100.284 +Dryopteris alpestris,29.32,95.33 +Dryopteris annamensis,26.901731,98.869207 +Dryopteris apiciflora,30.01,94.97 +Dryopteris assamensis,22.52,103.97 +Dryopteris atrata,26,111 +Dryopteris barbigera,27.82308,99.706013 +Dryopteris basisora,25.0667,102.617 +Dryopteris blanfordii,29.565,94.5436 +Dryopteris blanfordii subsp. nigrosquamosa,30.05,101.96 +Dryopteris caroli-hopei,23.763342,98.82524 +Dryopteris chrysocoma,25.012526,102.700013 +Dryopteris clarkei,29.5864,102.028 +Dryopteris costalisora,45.900002,133 +Dryopteris cycadina,25.454,119.007 +Dryopteris dickinsii,36.519977,103.891767 +Dryopteris diffracta,25.045286,102.709729 +Dryopteris fibrillosissima,29.85,95.76 +Dryopteris fructuosa,27.48,88.9 +Dryopteris goeringiana,31.0972,98.9792 +Dryopteris heterolaena,30.511499,103.481974 +Dryopteris himalaica,30.0092,94.9669 +Dryopteris hirtipes,27.177166,99.28717 +Dryopteris hookeriana,21.965244,100.806937 +Dryopteris juxtaposita,25.3667,102.75 +Dryopteris komarovii,27.82308,99.706013 +Dryopteris lachoongensis,25.2975,98.7953 +Dryopteris lepidopoda,25.045286,102.709729 +Dryopteris medogensis,29.32,95.33 +Dryopteris neorosthornii,28.48611,98.911543 +Dryopteris nobilis,27.740736,98.66582 +Dryopteris nyingchiensis,30.0194,95.0014 +Dryopteris paleolata,30.080031,103.002992 +Dryopteris panda,25.7,100.117 +Dryopteris peranema,24.580446,99.92854 +Dryopteris pseudocaenopteris,22.946383,103.691783 +Dryopteris pulcherrima,30.0403,101.838 +Dryopteris redactopinnata,30.055305,101.96483 +Dryopteris scottii,30.0092,94.9669 +Dryopteris serratodentata,27.97,87.22 +Dryopteris sikkimensis,25.841921,98.857727 +Dryopteris sinofibrillosa,31.7061,102.314 +Dryopteris sinonepalensis,45.900002,133 +Dryopteris sparsa,25.020615,98.490007 +Dryopteris splendens,29.33,95.33 +Dryopteris squamifera,32.0856,97.0119 +Dryopteris squamiseta,27.740736,98.66582 +Dryopteris stenolepis,36.519977,103.891767 +Dryopteris subimpressa,26.11116,99.951049 +Dryopteris sublacera,29.9906,95.3197 +Dryopteris subtriangularis,22.391288,106.817838 +Dryopteris tingiensis,28.65,87.12 +Dryopteris transmorrisonensis,29.5769,101.9997 +Dryopteris wallichiana,30.0092,94.9669 +Dryopteris woodsiisora,25.722146,101.324329 +Dryopteris wuzhaohongii,28.48611,98.911543 +Dryopteris yigongensis,28.179722,98.811944 +Dryopteris zayuensis,30.98,102.87 +Elaphoglossum marginatum,27.995331,98.619583 +Elaphoglossum stelligerum,25.116213,99.162598 +Elaphoglossum yunnanense,24.896782,103.227239 +Lomagramma medogensis,29.326875,95.328655 +Lomagramma sorbifolia,29.32,95.33 +Lomagramma yunnanensis,22.010889,100.79926 +Pleocnemia winitii,22.010889,100.79926 +Polystichum acanthophyllum,26.876096,100.229945 +Polystichum acutidens,25.371037,102.5797 +Polystichum arcuatum,26.09196,120.54154 +Polystichum atkinsonii,26.908457,102.930168 +Polystichum bakerianum,29.03,93.93 +Polystichum biaristatum,26.49,98.824167 +Polystichum bomiense,29.85,95.76 +Polystichum braunii,41.832,126.945 +Polystichum capillipes,26.17,101.42 +Polystichum castaneum,27.740736,98.66582 +Polystichum cyclolobum,25.532528,102.404938 +Polystichum discretum,25.670153,99.958012 +Polystichum duthiei,27.82308,99.706013 +Polystichum garhwalicum,38.073254,104.69114 +Polystichum glaciale,31.8503,102.67 +Polystichum gongboense,30.0058,93.9231 +Polystichum hecatopterum,36.519977,103.891767 +Polystichum hookerianum,29.157849,107.099276 +Polystichum lachenense,28.48611,98.911543 +Polystichum lentum,29.32,95.33 +Polystichum longidens,29.32,95.33 +Polystichum longipaleatum,30,94.97 +Polystichum makinoi,26.2,107.05 +Polystichum mayebarae,32.605886,111.195824 +Polystichum mehrae,29.037008,100.298406 +Polystichum microchlamys,38.073254,104.69114 +Polystichum mollissimum,28.9208,100.284 +Polystichum moupinense,30.742222,102.746389 +Polystichum neolobatum,30.08,102.05 +Polystichum nepalense,29.691198,95.516045 +Polystichum nudisorum,27.7164,98.5686 +Polystichum orientalitibeticum,29.85,95.76 +Polystichum otophorum,30.69178,100.7161 +Polystichum paramoupinense,27.740736,98.66582 +Polystichum pianmaense,29.32,95.33 +Polystichum piceopaleaceum,29.95,94.88 +Polystichum prescottianum,29.9,94.87 +Polystichum pseudocastaneum,28.85,85.29 +Polystichum punctiferum,25.841921,98.857727 +Polystichum qamdoense,27.82308,99.706013 +Polystichum rhombiforme,28.48611,98.911543 +Polystichum scariosum,23.22,108.22 +Polystichum semifertile,25.841921,98.857727 +Polystichum shensiense,30.2842,101.529 +Polystichum sinense,33.000556,97.328889 +Polystichum squarrosum,28.9442,100.278 +Polystichum stenophyllum,29.93,94.88 +Polystichum stimulans,24.688873,101.641935 +Polystichum submite,33.0006,97.3289 +Polystichum tangmaiense,24.615701,100.709787 +Polystichum thomsonii,26.908457,102.930168 +Polystichum tibeticum,31.9297,102.657 +Polystichum tsus-simense,36.519977,103.891767 +Polystichum wattii,25.841921,98.857727 +Polystichum yadongense,27.48,88.9 +Polystichum yigongense,25.85,98.85 +Polystichum yunnanense,25.045286,102.709729 +Polystichum zayuense,35.86,104.2 +Nephrolepis biserrata,23.12,113.34 +Nephrolepis brownii,20.870554,110.604425 +Nephrolepis cordifolia,29.8,106.39 +Tectaria coadunata,29.32,95.33 +Tectaria decurrens,25.045286,102.709729 +Tectaria dubia,25.045286,102.709729 +Tectaria griffithii,25.045286,102.709729 +Tectaria ingens,28.93,99.79 +Tectaria polymorpha,24.93,105.84 +Tectaria vasta,22.99417,102.392353 +Oleandra neriiformis,30.06,102.75 +Oleandra wallichii,27.48,88.9 +Araiostegia faberiana,27.909523,102.242289 +Davallia assamica,27.890583,98.342967 +Davallia divaricata,24.7,117.31 +Davallia griffithiana,28.66,97.46 +Davallia hookeri,29.1411,99.9644 +Davallia multidentata,25.83,98.84 +Davallia perdurans,25.045286,102.709729 +Davallia pulchra,21.957355,100.452547 +Davallia repens,25.83,98.84 +Davallia trichomanoides,21.957355,100.452547 +Arthromeris caudata,25.045286,102.709729 +Arthromeris himalayensis var. niphoboloides,26.876096,100.229945 +Arthromeris medogensis,29.326875,95.328655 +Arthromeris salicifolia,29.32,95.33 +Bosmania membranacea,25.066667,101.783333 +Ctenopteris subfalcata,28.66,97.46 +Drynaria baronii,30.08,102.05 +Drynaria coronans,18.252625,109.511923 +Drynaria delavayi,30.571389,102.875833 +Drynaria mollis,29.1,92.6 +Drynaria parishii,23.437468,104.672252 +Drynaria propinqua,22.010889,100.79926 +Goniophlebium amoenum,30.571389,102.875833 +Goniophlebium amoenum var. pilosum,30.571389,102.875833 +Goniophlebium argutum,29.9,94.87 +Goniophlebium chinense,29.39,110.16 +Goniophlebium hendersonii,28.85,85.29 +Goniophlebium lachnopus,29.000343,101.507299 +Goniophlebium manmeiense,22.99417,102.392353 +Goniophlebium microrhizoma,25.107246,108.315175 +Goniophlebium niponicum,29.92,94.88 +Goniophlebium subamoenum,25.841921,98.857727 +Goniophlebium wattii,27.177166,99.28717 +Lemmaphyllum microphyllum,28.59204,119.276247 +Lepisorus angustus,30.966552,111.261345 +Lepisorus asterolepis,31.042327,110.340757 +Lepisorus bicolor,29.03,93.92 +Lepisorus buergerianus,30.290996,108.936374 +Lepisorus carnosus,25.2975,98.7953 +Lepisorus cespitosus,29.32,95.33 +Lepisorus clathratus,30.666667,101.733333 +Lepisorus contortus,29.5864,102.028 +Lepisorus eilophyllus,25.0036,98.7247 +Lepisorus ensatus,26.24,105.93 +Lepisorus fortunei,36.519977,103.891767 +Lepisorus gyriongensis,23.714286,103.267858 +Lepisorus jakonensis,28.48611,98.911543 +Lepisorus likiangensis,29.887732,110.032936 +Lepisorus lineariformis,29.32,95.33 +Lepisorus loriformis,26.448219,98.766113 +Lepisorus loriformis var. steniste,27.7114,98.5397 +Lepisorus macrosphaerus,31.07,103.33 +Lepisorus maculosus,27.7431,98.3469 +Lepisorus medogensis,29.32,95.33 +Lepisorus miyoshianus,27.8,98.566667 +Lepisorus morrisonensis,29.990556,95.319722 +Lepisorus mucronatus,29.345575,95.052734 +Lepisorus normalis,26.061944,98.619167 +Lepisorus nudus,36.519977,103.891767 +Lepisorus oligolepidus,29.326488,114.963104 +Lepisorus pseudonudus,28.9403,102.103 +Lepisorus rostratus,25.045286,102.709729 +Lepisorus scolopendrium,25.673893,98.660553 +Lepisorus sinuatus,28.48,98.92 +Lepisorus sordidus,29.73797,103.231884 +Lepisorus soulieanus,30.055305,101.96483 +Lepisorus subconfluens,27.177166,99.28717 +Lepisorus superficialis,26.061944,98.619167 +Lepisorus thunbergianus,27.8,98.56666 +Lepisorus tibeticus,29.7786,94.7247 +Lepisorus tosaensis,21.957355,100.452547 +Lepisorus tricholepis,29.32,95.33 +Lepisorus variabilis,30.055305,101.96483 +Lepisorus waltonii,29.7408,91.1164 +Lepisorus zippelii,25.401388,98.723335 +Leptochilus axillaris,21.957355,100.452547 +Leptochilus decurrens,21.957355,100.452547 +Leptochilus ellipticus,25.991344,107.667067 +Leptochilus hemionitideus,25.045286,102.709729 +Leptochilus pedunculatus,29.334893,95.179442 +Leptochilus pteropus,22.54,114.05 +Loxogramme chinensis,22.446542,111.031652 +Loxogramme cuspidata,28.074413,119.141815 +Loxogramme duclouxii,30.076244,110.619012 +Loxogramme grammitoides,30.290996,108.936374 +Loxogramme involuta,30.996299,103.612264 +Loxogramme lankokiensis,22.792186,103.086573 +Loxogramme porcata,21.957355,100.452547 +Micropolypodium sikkimense,29.5275,103.3325 +Microsorum cuspidatum,23.292238,114.019065 +Microsorum insigne,23.437468,104.672252 +Microsorum punctatum,25.045286,102.709729 +Phymatopteris similis,28.66,97.46 +Platygyria 脳 inaequibasis,31.8,92.8283 +Pyrrosia adnascens,25.045286,102.709729 +Pyrrosia boothii,27.740736,98.66582 +Pyrrosia calvata,24.911106,114.789812 +Pyrrosia costata,25.841921,98.857727 +Pyrrosia davidii,25.045286,102.709729 +Pyrrosia drakeana,30.08,102.05 +Pyrrosia ensata,27.740736,98.66582 +Pyrrosia flocculosa,27.9358,98.6519 +Pyrrosia heteractis,21.957355,100.452547 +Pyrrosia lanceolata,22.789865,100.975923 +Pyrrosia lingua,43.76,128.456 +Pyrrosia longifolia,18.252625,109.511923 +Pyrrosia mannii,24.615701,100.709787 +Pyrrosia mollis,24.9333,102.483 +Pyrrosia porosa,27.18,100.03 +Pyrrosia stenophylla,26.05825,98.609138 +Pyrrosia stigmosa,25.3956,98.8233 +Pyrrosia subfurfuracea,25.045286,102.709729 +Selliguea albidoglauca,29.166666,95.13333 +Selliguea capitellata,24.8308,98.7678 +Selliguea chrysotricha,27.717778,98.421667 +Selliguea conjuncta,27.909523,102.242289 +Selliguea crenatopinnata,25.0667,102.617 +Selliguea dareiformis,25.8333,99.9833 +Selliguea ebenipes,29.30519,95.341655 +Selliguea ebenipes var. oakesii,28.85,85.29 +Selliguea elegans,27.7131,98.5261 +Selliguea erythrocarpa,29.92,94.88 +Selliguea glaucopsis,27.928607,101.279419 +Selliguea griffithiana,23.9022,106.618742 +Selliguea hastata,30.1,95.11 +Selliguea himalayensis,27.7231,98.5869 +Selliguea intermedia,28.66,97.46 +Selliguea lehmannii,23.293539,114.015992 +Selliguea lui,22.35,106.85 +Selliguea mairei,25.045286,102.709729 +Selliguea malacodon,30.1469,101.86 +Selliguea nigrovenia,25.045286,102.709729 +Selliguea obtusa,29.32,95.33 +Selliguea oxyloba,25.532528,102.404938 +Selliguea quasidivaricata,27.177222,98.755 +Selliguea rhynchophylla,25.311851,98.77124 +Selliguea senanensis,28.019167,98.533611 +Selliguea stewartii,29.30519,95.341655 +Selliguea stracheyi,29.914155,102.234618 +Selliguea tatsienensis,22.983563,103.687613 +Selliguea tenuicauda,22.697654,100.860736 +Selliguea tibetana,29.9894,94.8653 +Selliguea trisecta,25.045286,102.709729 +Selliguea wardii,30.0092,94.9669 +Selliguea wusugongii,29.166666,95.13333 +Tomophyllum donianum,29.30519,95.341655 +Podocarpus neriifolius,29.496119,103.398589 +Cryptomeria japonica var. sinensis,27.81111,114.66805 +Cunninghamia lanceolata,25.763056,110.123889 +Cupressus duclouxiana,35.86,104.2 +Cupressus funebris,26.4,110.8 +Cupressus gigantea,28.98,93.22 +Cupressus rushforthii,38.073254,104.69114 +Cupressus torulosa,29.85,95.76 +Juniperus communis var. saxatilis,28.12,87.33 +Juniperus convallium,31.98,100.59 +Juniperus coxii,25.012526,102.700013 +Juniperus formosana,33.897778,104.5875 +Juniperus indica,27.97,87.22 +Juniperus indica var. caespitosa,28.166667,86.45 +Juniperus jarkendensis,40.036756,84.487962 +Juniperus microsperma,31.13,97.18 +Juniperus pingii,24.976725,101.487417 +Juniperus pingii var. miehei,29.598209,96.736392 +Juniperus pingii var. wilsonii,29.155,100.088 +Juniperus recurva,29.9,94.88 +Juniperus sabina,27.8333,99.6667 +Juniperus saltuaria,36.519977,103.891767 +Juniperus semiglobosa,31.47,79.8 +Juniperus squamata,33.983622,117.991478 +Juniperus tibetica,33.0222,97.2689 +Platycladus orientalis,28.13,99.43 +Amentotaxus argotaenia,23.74326,114.699884 +Cephalotaxus hainanensis,19.134444,109.261667 +Cephalotaxus mannii,22.845607,110.62108 +Taxus contorta,30.511499,103.481974 +Taxus wallichiana,28.1553,98.3269 +Torreya yunnanensis,27.9675,98.66194 +Abies balsamea,29.63,94.4 +Abies chayuensis,28.66,97.46 +Abies delavayi,27.079201,100.258247 +Abies delavayi var. motuoensis,28.2,90.82 +Abies densa,31.712092,88.118532 +Abies ernestii,26.883333,100.233333 +Abies ernestii var. salouenensis,26.883333,100.233333 +Abies fordei,31.712092,88.118532 +Abies forrestii,27.12,100.22 +Abies georgei,27.78,98.47 +Abies georgei var. smithii,27.6839,98.4917 +Abies recurvata,30.05,102.05 +Abies spectabilis,28.3523,85.7833 +Abies squamata,30.05,102.05 +Cedrus deodara,40.02,116.21 +Larix griffithii,29.85,95.76 +Larix himalaica,28.85,85.29 +Larix kongboensis,31.712092,88.118532 +Larix potaninii var. australis,28.48611,98.911543 +Larix potaninii var. macrocarpa,35.86,104.2 +Larix speciosa,35.86,104.2 +Picea brachytyla,36.519977,103.891767 +Picea brachytyla var. complanata,35.86,104.2 +Picea likiangensis,27.080156,100.261612 +Picea likiangensis var. hirtella,29,101.5 +Picea likiangensis var. linzhiensis,35.86,104.2 +Picea likiangensis var. rubescens,31.13,97.18 +Picea purpurea,36.519977,103.891767 +Picea smithiana,28.85,85.29 +Picea spinulosa,28.3,90.95 +Pinus armandii,25.75,100.1 +Pinus arunachalensis,25.104264,107.509707 +Pinus bhutanica,27.9106,98.4111 +Pinus densata,36.519977,103.891767 +Pinus gerardiana,31.47,79.8 +Pinus kesiya,22.833333,101 +Pinus ravii,39.535776,116.113141 +Pinus roxburghii,28.85,85.29 +Pinus wallichiana,35.86,104.2 +Pinus yunnanensis,25.246983,102.497455 +Pseudotsuga forrestii,35.86,104.2 +Tsuga dumosa,30.583333,101.65 +Ephedra chengiae,29.52,103.33 +Ephedra chengiae var. spinosa,29.52,103.33 +Ephedra gerardiana,24.976725,101.487417 +Ephedra intermedia,27.12912,100.23568 +Ephedra likiangensis,35.86,104.2 +Ephedra monosperma,32.102778,97.041944 +Ephedra rituensis,33.38,79.73 +Ephedra saxatilis,26.876096,100.229945 +Gnetum montanum,22.54,114.05 +Gnetum pendulum,35.86,104.2 +Nymphaea alba,30.27,120.17 +Nymphaea alba var. rubra,30.27,120.17 +Nymphaea nouchali,31.55,118.48 +Nymphaea rubra,30.27,120.17 +Nymphaea tetragona,44.583,129.6 +Illicium burmanicum,24.615701,100.709787 +Illicium griffithii,29.32,95.33 +Illicium simonsii,35.86,104.2 +Illicium wardii,27.740736,98.66582 +Kadsura heteroclita,30.066708,102.758313 +Schisandra elongata,24.580446,99.92854 +Schisandra grandiflora,36.519977,103.891767 +Schisandra henryi,24.983333,112.833333 +Schisandra henryi subsp. yunnanensis,29.32,95.33 +Schisandra neglecta,27.7197,98.5753 +Schisandra plena,22.01071,100.799775 +Schisandra propinqua,35.86,104.2 +Schisandra propinqua subsp. intermedia,25.012526,102.700013 +Schisandra propinqua subsp. sinensis,25.012526,102.700013 +Schisandra pubinervis,30.066708,102.758313 +Schisandra rubriflora,35.86,104.2 +Schisandra sphaerandra,35.86,104.2 +Schisandra tomentella,23.763342,98.82524 +Houttuynia cordata,27.72278,120.16306 +Peperomia heyneana,25.2975,98.7953 +Peperomia pellucida,23.18,113.35 +Peperomia tetraphylla,31.82,108.62 +Piper arunachalense,26.293056,110.789167 +Piper betle,22.06,106.86 +Piper betleoides,26.293056,110.789167 +Piper boehmeriifolium,18.62,109.7 +Piper curtistipes,26.293056,110.789167 +Piper diffusum,29.58,94.93 +Piper griffithii,22.013258,100.787354 +Piper hancei,29.15,112.5 +Piper haridasanii,26.293056,110.789167 +Piper hymenophyllum,38.073254,104.69114 +Piper indicum,31.233334,121.416664 +Piper infossum,29.32,95.33 +Piper infossum var. nudum,29.32,95.33 +Piper kadsura,29.15,112.5 +Piper longum,21.919623,101.27736 +Piper macropodum,35.86,104.2 +Piper makruense,26.293056,110.789167 +Piper mullesua,29.32,95.33 +Piper nigrum,35.86,104.2 +Piper nirjulianum,26.293056,110.789167 +Piper pedicellatum,35.86,104.2 +Piper peepuloides,22.5333,99.9333 +Piper peltatifolium,26.293056,110.789167 +Piper petiolatum,29.33,95.33 +Piper pseudopedicellatum,26.293056,110.789167 +Piper rhytidocarpum,26.293056,110.789167 +Piper sarmentosum,21.919623,101.27736 +Piper semiimmersum,22.46,107.83 +Piper suipigua,35.86,104.2 +Piper sumatranum,18.856455,109.626816 +Piper sylvaticum,29.32,95.33 +Piper thomsonii,29.32,95.33 +Aristolochia assamica,24.8325,98.7693 +Aristolochia indica,38.073254,104.69114 +Aristolochia platanifolia,26.72,110.63 +Aristolochia rethyae,38.073254,104.69114 +Aristolochia tagala,18.626309,109.700342 +Aristolochia wardiana,27.715027,98.502167 +Asarum caudigerum,23.351747,113.411891 +Asarum himalaicum,25.98194,98.67055 +Isotrema cathcartii,24.72,97.93 +Isotrema griffithii,27.48,88.9 +Isotrema saccatum,35.86,104.2 +Isotrema wuanum,23.707779,113.78528 +Saruma henryi,33.440476,107.886795 +Horsfieldia amygdalina,25.774192,114.897453 +Horsfieldia kingii,21.625556,101.584722 +Knema lenta,22.010889,100.79926 +Knema linifolia,22.01071,100.799775 +Alcimandra cathcartii,35.86,104.2 +Houpoea rostrata,27.740736,98.66582 +Magnolia grandiflora,22.58,114.17 +Magnolia griffithii,22.013258,100.787354 +Magnolia gustavii,25.246983,102.497455 +Magnolia kingii,21.625556,101.584722 +Magnolia mannii,27.6588,98.709396 +Magnolia oblonga,25.777222,98.708333 +Magnolia pealiana,25.246983,102.497455 +Magnolia pleiocarpa,25.246983,102.497455 +Magnolia pterocarpa,24.98,105.82 +Magnolia punduana,25.020615,98.490007 +Magnolia rabaniana,25.246983,102.497455 +Manglietia caveana,29.32,95.33 +Manglietia hookeri,27.7306,98.4078 +Manglietia insignis,35.86,104.2 +Michelia 脳 alba,25.17,110.35 +Michelia champaca,24.47,118.08 +Michelia chapensis,24.880278,102.832778 +Michelia doltsopa,35.86,104.2 +Michelia floribunda,35.86,104.2 +Michelia kisopa,25.032903,101.546159 +Michelia velutina,35.86,104.2 +Oyama globosa,30.3,118.13 +Oyama sinensis,30.3,118.13 +Parakmeria nitida,35.86,104.2 +Talauma hodgsonii,29.32,95.33 +Yulania campbellii,33.75,97.05 +Alphonsea lutea,18.62,109.7 +Alphonsea ventricosa,18.62,109.7 +Annona reticulata,21.957355,100.452547 +Annona squamosa,37.14,116.46 +Artabotrys caudatus,22.533273,113.998954 +Dasymaschalon longiflorum,18.74,109.17 +Dasymaschalon rostratum,18.252625,109.511923 +Dasymaschalon tibetense,29.33,95.33 +Desmos chinensis,22.82,107 +Fissistigma balansae,22.391288,106.817838 +Fissistigma bicolor,29.15,112.5 +Fissistigma polyanthoides,22.06,106.86 +Fissistigma polyanthum,29.32,95.33 +Fissistigma retusum,28.71924,109.438684 +Fissistigma rubiginosum,29.15,112.5 +Friesodielsia fornicata,18.626309,109.700342 +Goniothalamus simonsii,18.62,109.7 +Huberantha cerasoides,20.44,110.2 +Meiogyne arunachalensis,18.626309,109.700342 +Miliusa dioeca,21.930408,101.251014 +Miliusa macrocarpa,21.930408,101.251014 +Miliusa sclerocarpa,21.930408,101.251014 +Miliusa tenuistipitata,29.32,95.33 +Mitrephora harae,19.11959,109.153556 +Mitrephora tomentosa,19.121187,109.083491 +Monoon longifolium,21.927774,101.249985 +Monoon simiarum,26.58,114.1 +Polyalthia suberosa,20.44,110.2 +Polyalthiopsis chinensis,30.24361,120.17627 +Polyalthiopsis verrucipes,21.475834,101.56752 +Trivalvaria argentea,20.44,110.2 +Uvaria dioeca,30.368117,102.81464 +Wuodendron praecox,21.957355,100.452547 +Illigera khasiana,29.15,112.5 +Actinodaphne forrestii,35.86,104.2 +Actinodaphne obovata,30,94.88 +Actinodaphne sikkimensis,29.32,95.33 +Alseodaphnopsis andersonii,29.32,95.33 +Alseodaphnopsis petiolaris,22.01071,100.799775 +Beilschmiedia assamica,24.35,116.7 +Beilschmiedia brandisii,37.0383,104.4668 +Beilschmiedia cylindrica,29.63,94.36 +Beilschmiedia robusta,21.957355,100.452547 +Beilschmiedia roxburghiana,29.32,95.33 +Beilschmiedia rufohirtella,22.01071,100.799775 +Cinnamomum bejolghota,27.7589,98.3378 +Cinnamomum camphora,26.466667,111.316667 +Cinnamomum contractum,29.63,94.36 +Cinnamomum glanduliferum,28.1147,98.3164 +Cinnamomum iners,35.86,104.2 +Cinnamomum lohitensis,24.983333,112.833333 +Cinnamomum pauciflorum,28.433333,110.4 +Cinnamomum sanjappae,26.466667,111.316667 +Cinnamomum subavenium,25.22845,113.217309 +Cinnamomum tamala,24.580446,99.92854 +Cinnamomum wilsonii,26.466667,111.316667 +Cryptocarya amygdalina,29.32,95.33 +Cryptocarya burkillii,34.3108,99.1814 +Dehaasia arunachalensis,18.252625,109.511923 +Dodecadenia grandiflora,35.86,104.2 +Iteadaphne caudata,22.697654,100.860736 +Lindera communis,28.433333,110.4 +Lindera glauca,26.466667,111.316667 +Lindera gracilipes,22.983563,103.687613 +Lindera kariensis,35.86,104.2 +Lindera latifolia,24.8308,98.7678 +Lindera longipedunculata,35.86,104.2 +Lindera megaphylla,26.466667,111.316667 +Lindera meisneri,22.02,100.8 +Lindera melastomacea,22.08,109.87 +Lindera motuoensis,29.3253,95.333197 +Lindera nacusua,27.875,98.3353 +Lindera neesiana,30.353794,119.436458 +Lindera obtusiloba,29.95,94.88 +Lindera obtusiloba var. heterophylla,35.86,104.2 +Lindera pulcherrima,29.6008,102.068 +Lindera pulcherrima var. hemsleyana,29.6008,102.068 +Lindera sanjappae,26.466667,111.316667 +Lindera thomsonii,35.86,104.2 +Lindera tienchuanensis,31.084,103.267 +Lindera varmae,26.466667,111.316667 +Lindera villipes,29.32,95.33 +Litsea albescens,26.466667,111.316667 +Litsea balansae,22.983563,103.687613 +Litsea biflora,29.32,95.33 +Litsea chengshuzhii,26.466667,111.316667 +Litsea coelestis,29.32,95.33 +Litsea cubeba,26.466667,111.316667 +Litsea depressa,26.466667,111.316667 +Litsea elongata,24.983333,112.833333 +Litsea glutinosa,35.86,104.2 +Litsea gongshanensis,35.86,104.2 +Litsea khasyana,23.351747,113.411891 +Litsea kingii,27.12,100.22 +Litsea kurzii,35.86,104.2 +Litsea laeta,26.466667,111.316667 +Litsea lancifolia,22.391288,106.817838 +Litsea liboshengii,26.466667,111.316667 +Litsea longistaminata,22.010889,100.79926 +Litsea membranifolia,35.86,104.2 +Litsea mishmiensis,26.466667,111.316667 +Litsea mollis,27.622868,113.854676 +Litsea monopetala,35.86,104.2 +Litsea moupinensis,33.79405,108.863767 +Litsea nitida,26.466667,111.316667 +Litsea populifolia,29.22,102.35 +Litsea pungens,30.353794,119.436458 +Litsea rangoonensis,32.27,100.98 +Litsea robusta,26.466667,111.316667 +Litsea rubescens,35.86,104.2 +Litsea rubescens var. yunnanensis,35.86,104.2 +Litsea salicifolia,23.9022,106.618742 +Litsea sericea,29.58,94.92 +Litsea taronensis,35.86,104.2 +Litsea tibetana,29.32,95.33 +Litsea vang var. lobata,23.15,99.25 +Litsea veitchiana,27.65832,106.909075 +Machilus chayuensis,28.66,97.46 +Machilus clarkeana,28.385228,114.780982 +Machilus duthiei,28.07554,98.92133 +Machilus edulis,26.466667,111.316667 +Machilus forrestii,35.86,104.2 +Machilus gamblei,35.86,104.2 +Machilus kurzii,35.86,104.2 +Machilus listeri,26.466667,111.316667 +Machilus montana,25.371037,102.5797 +Machilus nanmu,29.671778,115.989221 +Machilus obscurinervis,29.32,95.33 +Machilus odoratissimus,19.176498,109.873535 +Machilus ovatiloba,26.466667,111.316667 +Machilus parviflora,26.466667,111.316667 +Machilus robusta,35.86,104.2 +Machilus rufipes,25.98,98.708056 +Machilus shweliensis,35.86,104.2 +Machilus villosa,23.531078,99.411861 +Machilus viridis,28,98.83333 +Machilus yunnanensis,35.86,104.2 +Machilus yunnanensis var. tibetana,27.897245,102.265266 +Neocinnamomum caudatum,24.388378,106.006265 +Neocinnamomum delavayi,35.86,104.2 +Neocinnamomum mekongense,35.86,104.2 +Neolitsea aurata var. glauca,29.383203,106.523824 +Neolitsea cassia,27.3455,99.2588 +Neolitsea chrysotricha,27.998358,98.619476 +Neolitsea conigemma,29.32,95.33 +Neolitsea cuipala,29.32,95.33 +Neolitsea foliosa,22.653799,108.310905 +Neolitsea homilantha,35.86,104.2 +Neolitsea levinei,26.466667,111.316667 +Neolitsea levinei var. tibetica,26.466667,111.316667 +Neolitsea pallens,28.85,85.29 +Neolitsea polycarpa,23.363,104.250727 +Neolitsea sanjappae,26.466667,111.316667 +Neolitsea sutchuanensis,35.86,104.2 +Parasassafras confertiflorum,26,98.65 +Phoebe attenuata,25.416667,98.966667 +Phoebe baishyae,26.466667,111.316667 +Phoebe bootanica,26.466667,111.316667 +Phoebe cathia,26.466667,111.316667 +Phoebe cavaleriei,29.73797,103.231884 +Phoebe glaucifolia,24.027132,101.828381 +Phoebe hedgei,26.466667,111.316667 +Phoebe lanceolata,21.683333,101.35 +Phoebe motuonan,29.33,95.33 +Phoebe pallida,26.466667,111.316667 +Sinosassafras flavinervium,26,98.65 +Chloranthus erectus,21.957355,100.452547 +Chloranthus spicatus,21.934011,101.260734 +Sarcandra glabra,36.519977,103.891767 +Acorus calamus,31.609337,119.20447 +Acorus gramineus,31.22222,121.45806 +Aglaonema hookerianum,22.69,112.22 +Alocasia cucullata,21.957355,100.452547 +Alocasia fallax,18.252625,109.511923 +Alocasia fornicata,22.762995,107.112032 +Alocasia macrorrhizos,21.919623,101.27736 +Alocasia odora,22.792186,103.086573 +Amorphophallus bognerianus,25.6,110.58 +Amorphophallus bulbifer,21.475834,101.56752 +Amorphophallus commutatus,29.16,107.1 +Amorphophallus kachinensis,35.86,104.2 +Amorphophallus paeoniifolius,22.75,107.1 +Ariopsis peltata,27.44883,99.822212 +Arisaema anatinum,29.523376,103.33726 +Arisaema bonatianum,27.1792,98.7289 +Arisaema candidissimum,27.42,101.5 +Arisaema concinnum,35.86,104.2 +Arisaema costatum,27.48,88.9 +Arisaema decipiens,25.020615,98.490007 +Arisaema echinatum,28.85,85.29 +Arisaema elephas,28.554836,99.822357 +Arisaema erubescens,26.43,110.85 +Arisaema exappendiculatum,28.9353,102.212 +Arisaema flavum,29.67,91.05 +Arisaema flavum subsp. tibeticum,29.7408,91.1164 +Arisaema galeatum,35.86,104.2 +Arisaema griffithii,28.36,87.76 +Arisaema handelii,35.86,104.2 +Arisaema intermedium,27.740736,98.66582 +Arisaema jacquemontii,27.189425,100.11335 +Arisaema lobatum,35.86,104.2 +Arisaema nepenthoides,35.86,104.2 +Arisaema parvum,30.06,102.75 +Arisaema petiolulatum,35.86,104.2 +Arisaema propinquum,35.86,104.2 +Arisaema setosum,29.523376,103.33726 +Arisaema smitinandii,29.523376,103.33726 +Arisaema speciosum,28.36,87.76 +Arisaema tortuosum,35.86,104.2 +Arisaema utile,28.36,87.76 +Arisaema vexillatum,28.36,87.76 +Arisaema wardii,34.601944,103.390556 +Arisaema wattii,35.86,104.2 +Colocasia affinis,21.979228,101.235405 +Colocasia antiquorum,35.86,104.2 +Colocasia boyceana,22.753063,100.893393 +Colocasia dibangensis,22.753063,100.893393 +Colocasia esculenta,27.6831,98.7203 +Colocasia fallax,22.01071,100.799775 +Colocasia mannii,27.6588,98.709396 +Epipremnum aureum,19.88,110.33 +Epipremnum pinnatum,20.030265,110.324336 +Homalomena aromatica,21.957355,100.452547 +Homalomena pendula,23.5,100.7 +Lagenandra undulata,28.666667,98.25 +Landoltia punctata,45.717686,130.629501 +Lasia spinosa,22.08,109.87 +Lemna aequinoctialis,25.4,112.95 +Lemna minor,33.33,105.6 +Pinellia ternata,27.626389,117.966389 +Pistia stratiotes,26.32,116.34 +Pothos chinensis,35.86,104.2 +Pothos junghuhnii,35.86,104.2 +Pothos macrocephalus,35.86,104.2 +Pothos repens,20.44,110.2 +Pothos scandens,35.86,104.2 +Remusatia hookeriana,24.8308,98.7678 +Remusatia pumila,35.86,104.2 +Remusatia vivipara,28.36,87.76 +Rhaphidophora calophylla,28.03527,98.60222 +Rhaphidophora crassicaulis,22.007463,100.788719 +Rhaphidophora decursiva,22.009449,100.78511 +Rhaphidophora dulongensis,35.86,104.2 +Rhaphidophora glauca,24.805305,98.527725 +Rhaphidophora hongkongensis,35.86,104.2 +Rhaphidophora hookeri,35.86,104.2 +Rhaphidophora korthalsii,0,0 +Rhaphidophora luchunensis,0,0 +Rhaphidophora peepla,0,0 +Sauromatum brevipes,0,0 +Sauromatum diversifolium,0,0 +Sauromatum giganteum,0,0 +Sauromatum venosum,0,0 +Scindapsus officinalis,18.626309,109.700342 +Spirodela polyrhiza,33.29,118.83 +Steudnera assamica,21.918492,101.271263 +Steudnera capitellata,21.918492,101.271263 +Steudnera discolor,21.918492,101.271263 +Steudnera griffithii,22.529465,103.939279 +Typhonium flagelliforme,21.981682,108.653798 +Typhonium trilobatum,25.012526,102.700013 +Wolffia arrhiza,28.68,115.9 +Zantedeschia aethiopica,35.27,113.32 +Tofieldia divergens,27.129286,100.234573 +Tofieldia himalaica,27.5,100.033333 +Alisma plantago-aquatica,44.02,89.59 +Sagittaria guayanensis subsp. lappula,22.01071,100.799775 +Sagittaria pygmaea,30.19,119.36 +Sagittaria tengtsungensis,35.86,104.2 +Sagittaria trifolia,45.354,129.542 +Blyxa echinosperma,22.391288,106.817838 +Hydrilla verticillata,44.338,129.484 +Najas minor,38.88,115.88 +Ottelia alismoides,41.832,126.945 +Vallisneria natans,29.23,117.14 +Aponogeton lakhonensis,18.25,109.5 +Triglochin maritima,35.86,104.2 +Triglochin palustris,46.29,122.93 +Potamogeton crispus,30.94,120.13 +Potamogeton distinctus,28.02527,98.62027 +Potamogeton gramineus,42.78,128.51 +Potamogeton maackianus,36.519977,103.891767 +Potamogeton natans,26.43,110.85 +Potamogeton nodosus,41.220225,80.215804 +Potamogeton octandrus,43.76,128.23 +Potamogeton oxyphyllus,30.27,120.17 +Potamogeton perfoliatus,44.82,125.92 +Potamogeton pusillus,28.67,118.24 +Stuckenia filiformis,27.5,89 +Stuckenia pamirica,28.15,89.3 +Stuckenia pectinata,36.202834,120.509409 +Zannichellia palustris,35.86,104.2 +Petrosavia sakuraii,22.912503,103.69865 +Aletris alpestris,27.03332,100.17733 +Aletris glabra,30.511499,103.481974 +Aletris gracilis,27.62,98.63 +Aletris laxiflora,30.511499,103.481974 +Aletris nana,28.400885,99.4496 +Aletris pauciflora,35.86,104.2 +Aletris pauciflora var. khasiana,29.1025,99.6708 +Aletris simpliciflora,27.079508,100.258896 +Dioscorea alata,32.1,118.3 +Dioscorea althaeoides,30.911944,102.546111 +Dioscorea belophylla,28.512222,98.774167 +Dioscorea bulbifera,35.86,104.2 +Dioscorea cirrhosa,22.585599,114.203565 +Dioscorea cumingii,22.983563,103.687613 +Dioscorea deltoidea,28.48611,98.911543 +Dioscorea esculenta,44.312423,86.085507 +Dioscorea glabra,35.86,104.2 +Dioscorea hamiltonii,23.127041,113.341527 +Dioscorea hispida,21.957355,100.452547 +Dioscorea japonica,26.466667,111.316667 +Dioscorea kamoonensis,28.035,98.6 +Dioscorea laurifolia,25.909859,109.172836 +Dioscorea lepcharum,25.909859,109.172836 +Dioscorea listeri,25.76416,99.10694 +Dioscorea melanophyma,25.2108,98.5439 +Dioscorea nitens,24.580446,99.92854 +Dioscorea oppositifolia,36.519977,103.891767 +Dioscorea pentaphylla,25.166111,116.193611 +Dioscorea prazeri,24.35821,102.748636 +Dioscorea pubera,25.909859,109.172836 +Dioscorea scortechinii,18.626309,109.700342 +Dioscorea wattii,35.86,104.2 +Dioscorea xizangensis,29.32483,95.326681 +Tacca chantrieri,35.86,104.2 +Tacca integrifolia,29.32,95.33 +Acanthochlamys bracteata,28.93,99.79 +Stemona tuberosa,25.73,98.8708 +Pandanus martinianus,29.32,95.33 +Pandanus urophyllus,21.928537,101.253784 +Paris forrestii,25.98194,98.67055 +Paris japonica,32.581665,121.00667 +Paris mairei,27.8,98.56666 +Paris marmorata,28.36,87.76 +Paris polyphylla,27.83,119.191 +Paris polyphylla var. stenophylla,35.86,104.2 +Paris thibetica,35.86,104.2 +Paris verticillata,40.947367,115.415314 +Paris yunnanensis,26.818554,99.663571 +Trillium govanianum,29.93,94.88 +Trillium tschonoskii,25.98194,98.67055 +Ypsilandra alpina,35.86,104.2 +Ypsilandra yunnanensis,35.86,104.2 +Disporum bodinieri,35.86,104.2 +Disporum calcaratum,23.763342,98.82524 +Disporum cantoniense,35.86,104.2 +Disporum longistylum,29.372341,110.478482 +Disporum uniflorum,30.066708,102.758313 +Iphigenia indica,26.56023,100.17643 +Smilax aberrans,22.446542,111.031652 +Smilax arisanensis,23.625319,105.630906 +Smilax aspera,35.86,104.2 +Smilax aspericaulis,35.86,104.2 +Smilax biumbellata,26.009806,98.632141 +Smilax elegans,29.5367,107.2833 +Smilax ferox,26.466667,111.316667 +Smilax griffithii,29.32,95.33 +Smilax japonica,23.127041,113.341527 +Smilax lanceifolia,35.86,104.2 +Smilax longebracteolata,28.48,98.92 +Smilax mairei,28.065,98.590278 +Smilax megacarpa,25.742153,110.040007 +Smilax menispermoidea,26.580122,111.840659 +Smilax microphylla,29.8,106.39 +Smilax minutiflora,32.583333,103.833333 +Smilax munita,27.8897,98.3997 +Smilax myrtillus,25.72,100.03 +Smilax nana,25.8333,99.9833 +Smilax ocreata,24.580446,99.92854 +Smilax ovalifolia,26.06139,119.30611 +Smilax perfoliata,35.86,104.2 +Smilax quadrata,29.32,95.33 +Smilax retroflexa,29.49,103.39 +Smilax stans,28.48611,98.911543 +Cardiocrinum giganteum,29.914155,102.234618 +Clintonia udensis,28.38222,98.79666 +Fritillaria cirrhosa,27.082886,100.262718 +Fritillaria delavayi,29.66666,91.35 +Fritillaria fusca,31.712092,88.118532 +Fritillaria przewalskii,34.04,104.39 +Fritillaria sichuanica,30.996299,103.612264 +Gagea flavonutans,27.48,88.9 +Gagea pauciflora,40.5,117.09 +Gagea serotina,31.712092,88.118532 +Lilium apertum,27.614709,99.641674 +Lilium basilissum,35.86,104.2 +Lilium brevistylum,28.67,97.47 +Lilium brownii,29.86,118.43 +Lilium duchartrei,30.71,101.75 +Lilium lancifolium,41.464,127.544 +Lilium lankongense,27.8358,100.109 +Lilium lophophorum,29.3858,100.149 +Lilium lophophorum var. linearifolium,26.876096,100.229945 +Lilium medogense,29.32,95.33 +Lilium nanum,28.48611,98.911543 +Lilium nanum var. brevistylum,28.67,97.47 +Lilium nanum var. flavidum,28.48611,98.911543 +Lilium nepalense,27.629986,99.685448 +Lilium paradoxum,31.712092,88.118532 +Lilium saccatum,29.22,94.22 +Lilium saluenense,35.86,104.2 +Lilium souliei,27.624502,99.643692 +Lilium stewartianum,27.82308,99.706013 +Lilium synapticum,31.712092,88.118532 +Lilium taliense,27.4758,99.8842 +Lilium wallichianum,29.1239,99.9967 +Lilium wardii,29.9719,95.3647 +Lilium yapingense,31.712092,88.118532 +Lloydia ixiolirioides,29.914155,102.234618 +Lloydia nana,47.07,86.6 +Lloydia oxycarpa,35.86,104.2 +Lloydia tibetica,35.86,104.2 +Notholirion bulbuliferum,27.7078,98.4969 +Notholirion campanulatum,35.86,104.2 +Notholirion macrophyllum,27.928607,101.279419 +Streptopus koreanus,42.78,128.51 +Streptopus parviflorus,29.22,102.35 +Streptopus simplex,27.930874,99.615021 +Tricyrtis pilosa,31.370137,109.629918 +Acampe ochracea,21.957355,100.452547 +Acampe praemorsa,23.67,112.39 +Acampe rigida,23.39,106.62 +Acanthephippium striatum,22.06,106.86 +Acanthephippium sylhetense,22.01071,100.799775 +Aerides falcata,24.597133,100.778305 +Aerides odorata,24.749659,97.562782 +Aerides rosea,25.13,105.39 +Agrostophyllum brevipes,24.8308,98.7678 +Agrostophyllum callosum,29.32,95.33 +Agrostophyllum myrianthum,21.475834,101.56752 +Agrostophyllum planicaule,29.15,112.5 +Androcorys ophioglossoides,34.3342,100.509 +Androcorys pugioniformis,29.65,91.12 +Androcorys spiralis,35.86,104.2 +Ania penangiana,24.175587,110.235565 +Anoectochilus brevilabris,22.983563,103.687613 +Anoectochilus medogensis,29.326875,95.328655 +Anoectochilus roxburghii,21.68,101.31 +Anthogonium gracile,29.63,94.36 +Aphyllorchis alpina,28.66,97.46 +Aphyllorchis gollanii,30.1,95.12 +Aphyllorchis montana,21.957355,100.452547 +Apostasia odorata,22.391288,106.817838 +Apostasia wallichii,22.391288,106.817838 +Arachnis flos-aeris,18.626309,109.700342 +Arachnis labrosa,18.626309,109.700342 +Arundina graminifolia,35.86,104.2 +Ascocentrum ampullaceum,23.146851,99.246047 +Ascocentrum curvifolium,21.475834,101.56752 +Ascocentrum semiteretifolium,25.6325,98.7017 +Bhutanthera albomarginata,28.85,85.29 +Biermannia arunachalensis,36.519977,103.891767 +Biermannia bimaculata,43.892776,86.48025 +Biermannia jainiana,36.519977,103.891767 +Bletilla formosana,35.86,104.2 +Brachycorythis iantha,25.03,98.47 +Brachycorythis obcordata,27.2,109.83 +Bulbophyllum acutiflorum,45,86 +Bulbophyllum affine,22.097768,107.957979 +Bulbophyllum amplifolium,23.160603,106.288701 +Bulbophyllum andersonii,22.653799,108.310905 +Bulbophyllum apodum,23.363,104.250727 +Bulbophyllum arunachalense,23.174167,104.829722 +Bulbophyllum basiflorum,23.174167,104.829722 +Bulbophyllum bisetum,21.92339,107.938293 +Bulbophyllum bomiense,28.85,85.29 +Bulbophyllum brevispicatum,22.01071,100.799775 +Bulbophyllum brienianum,23.174167,104.829722 +Bulbophyllum capillipes,40.948006,115.420325 +Bulbophyllum cariniflorum,28.85,85.29 +Bulbophyllum caudatum,29.32,95.33 +Bulbophyllum cauliflorum,29.32,95.33 +Bulbophyllum cornu-cervi,25.045286,102.709729 +Bulbophyllum crassipes,21.957355,100.452547 +Bulbophyllum cupreum,23.174167,104.829722 +Bulbophyllum cylindraceum,35.86,104.2 +Bulbophyllum deergongense,29.266666,95.2 +Bulbophyllum delitescens,29.32,95.33 +Bulbophyllum depressum,18.768906,108.882679 +Bulbophyllum elatum,35.86,104.2 +Bulbophyllum emarginatum,29.32,95.33 +Bulbophyllum eublepharum,27.6942,98.3017 +Bulbophyllum fischeri,23.174167,104.829722 +Bulbophyllum forrestii,35.86,104.2 +Bulbophyllum gamblei,25.4014,98.7233 +Bulbophyllum gedangense,23.174167,104.829722 +Bulbophyllum griffithii,24.351925,102.546204 +Bulbophyllum guttulatum,29.32,95.33 +Bulbophyllum gymnopus,22.01071,100.799775 +Bulbophyllum helenae,35.86,104.2 +Bulbophyllum hirtum,21.957355,100.452547 +Bulbophyllum hymenanthum,23.174167,104.829722 +Bulbophyllum jainii,23.174167,104.829722 +Bulbophyllum khasyanum,27.740736,98.66582 +Bulbophyllum kingii,23.125462,104.702829 +Bulbophyllum leopardinum,22.01071,100.799775 +Bulbophyllum levinei,22.097768,107.957979 +Bulbophyllum lingii,24.95476,115.650136 +Bulbophyllum linzhiense,29.81144,94.43077 +Bulbophyllum lobbii,35.86,104.2 +Bulbophyllum longiflorum,27.177166,99.28717 +Bulbophyllum macraei,23.174167,104.829722 +Bulbophyllum menglunense,21.475834,101.56752 +Bulbophyllum muscicola,25.666667,98.833333 +Bulbophyllum nasutum,35.86,104.2 +Bulbophyllum nodosum,23.174167,104.829722 +Bulbophyllum nujiangense,24.235586,99.11751 +Bulbophyllum odoratissimum,22.446542,111.031652 +Bulbophyllum ornatissimum,23.174167,104.829722 +Bulbophyllum parviflorum,23.174167,104.829722 +Bulbophyllum penicillium,23.174167,104.829722 +Bulbophyllum pentaneurum,23.932672,112.199131 +Bulbophyllum pilopetalum,29.85,95.76 +Bulbophyllum piluliferum,27.9099,99.6286 +Bulbophyllum polyrrhizum,22.01071,100.799775 +Bulbophyllum protractum,21.48,101.57 +Bulbophyllum pteroglossum,21.475834,101.56752 +Bulbophyllum purpureofuscum,25.353181,98.120339 +Bulbophyllum reflexipetalum,23.174167,104.829722 +Bulbophyllum repens,23.174167,104.829722 +Bulbophyllum reptans,29.32,95.33 +Bulbophyllum retusiusculum,35.86,104.2 +Bulbophyllum retusum,28.71924,109.438684 +Bulbophyllum rigidum,23.174167,104.829722 +Bulbophyllum rolfei,27.740736,98.66582 +Bulbophyllum roxburghii,27.080633,100.261093 +Bulbophyllum sarcophylloides,23.174167,104.829722 +Bulbophyllum sarcophyllum,23.174167,104.829722 +Bulbophyllum scabratum,24.813781,113.184435 +Bulbophyllum secundum,23.174167,104.829722 +Bulbophyllum shweliense,27.7414,98.3433 +Bulbophyllum spathulatum,22.01071,100.799775 +Bulbophyllum stenobulbon,18.745108,109.17663 +Bulbophyllum sterile,30.05,101.97 +Bulbophyllum stocksii,23.174167,104.829722 +Bulbophyllum striatum,23.125462,104.702829 +Bulbophyllum tigridum,36.519977,103.891767 +Bulbophyllum tortuosum,26.09196,120.54154 +Bulbophyllum triste,21.475834,101.56752 +Bulbophyllum trongsaense,23.174167,104.829722 +Bulbophyllum umbellatum,35.86,104.2 +Bulbophyllum virens,23.174167,104.829722 +Bulbophyllum wallichii,21.957355,100.452547 +Bulbophyllum yarlungzangboense,23.174167,104.829722 +Bulleyia yunnanensis,35.86,104.2 +Calanthe 脳 yarlungzangboensis,29,93.97 +Calanthe alismatifolia,29.32,95.33 +Calanthe alismifolia,35.86,104.2 +Calanthe alpina,29.93,94.88 +Calanthe arcuata,30.368117,102.81464 +Calanthe biloba,24.615701,100.709787 +Calanthe brevicornu,24.813781,113.184435 +Calanthe chloroleuca,31.712092,88.118532 +Calanthe clavata,21.957355,100.452547 +Calanthe davidii,28.0206,98.6203 +Calanthe delavayi,27.128586,100.231979 +Calanthe densiflora,35.86,104.2 +Calanthe griffithii,26.901731,98.869207 +Calanthe herbacea,21.475834,101.56752 +Calanthe lechangensis,25.22845,113.217309 +Calanthe lyroglossa,18.252013,109.504134 +Calanthe mannii,35.86,104.2 +Calanthe metoensis,29.32,95.33 +Calanthe nipponica,29.63,94.36 +Calanthe odora,23.519195,110.462487 +Calanthe plantaginea,35.86,104.2 +Calanthe puberula,35.86,104.2 +Calanthe reflexa,29.61,115.99 +Calanthe sylvatica,25.60168,110.585686 +Calanthe tricarinata,35.86,104.2 +Calanthe triplicata,21.475834,101.56752 +Calanthe trulliformis,26.631536,99.726747 +Calanthe velutina,30.665556,102.855833 +Calanthe whiteana,29.496119,103.398589 +Callostylis bambusifolia,35.86,104.2 +Callostylis rigida,21.475834,101.56752 +Cephalanthera damasonium,25.869611,102.593465 +Cephalanthera erecta,29.496119,103.398589 +Cephalanthera longifolia,28.66,97.46 +Cephalantheropsis halconensis,22.25257,111.721548 +Cephalantheropsis longipes,22.25257,111.721548 +Cephalantheropsis obcordata,22.446542,111.031652 +Ceratostylis himalaica,29.32,95.33 +Ceratostylis radiata,18.626309,109.700342 +Ceratostylis siamensis,18.626309,109.700342 +Ceratostylis subulata,18.626309,109.700342 +Cestichis cespitosa,34.542778,102.420833 +Cestichis pingtaoi,0,0 +Chamaegastrodia inverta,27.27962,100.854426 +Chamaegastrodia shikokiana,27.928607,101.279419 +Cheirostylis chinensis,25.175621,110.351669 +Cheirostylis griffithii,22.01071,100.799775 +Cheirostylis gunnarii,22.76,107.11 +Cheirostylis moniliformis,22.76,107.11 +Cheirostylis sessanica,22.76,107.11 +Cheirostylis tippica,22.76,107.11 +Cheirostylis yunnanensis,24.68123,105.334672 +Chiloschista densiflora,30.066708,102.758313 +Chiloschista parishii,30.066708,102.758313 +Chiloschista yunnanensis,22.005078,100.747724 +Chrysoglossum assamicum,29.32,95.33 +Chrysoglossum ornatum,23.880344,100.092756 +Cionisaccus procera,23.193543,113.430026 +Cleisocentron pallens,36.764999,120.644997 +Cleisostoma appendiculatum,18.87,109.68 +Cleisostoma aspersum,18.87,109.68 +Cleisostoma discolor,0,0 +Cleisostoma filiforme,0,0 +Cleisostoma linearilobatum,21.931655,101.240113 +Cleisostoma medogense,0,0 +Cleisostoma paniculatum,29.32,95.33 +Cleisostoma racemiferum,35.86,104.2 +Cleisostoma simondii,0,0 +Cleisostoma striatum,23.160603,106.288701 +Cleisostoma subulatum,18.87,109.68 +Cleisostoma tricallosum,18.87,109.68 +Cleisostoma williamsonii,0,0 +Cleisostomopsis roseus,39.924575,116.424269 +Coelogyne assamica,24.8325,98.7693 +Coelogyne barbata,35.86,104.2 +Coelogyne calcicola,0,0 +Coelogyne corymbosa,35.86,104.2 +Coelogyne cristata,28.17,85.98 +Coelogyne fimbriata,0,0 +Coelogyne flaccida,25.2108,98.5439 +Coelogyne fuscescens,21.957355,100.452547 +Coelogyne griffithii,27.099444,98.872222 +Coelogyne holochila,0,0 +Coelogyne katakiana,29.5367,107.2833 +Coelogyne longipes,35.86,104.2 +Coelogyne micrantha,29.5367,107.2833 +Coelogyne mishmensis,29.32,95.33 +Coelogyne nitida,35.86,104.2 +Coelogyne occultata,0,0 +Coelogyne ovalis,35.86,104.2 +Coelogyne prolifera,24.8308,98.7678 +Coelogyne punctulata,0,0 +Coelogyne pygmaea,0,0 +Coelogyne radicosa,0,0 +Coelogyne raizadae,25.379444,98.408611 +Coelogyne rigida,29.5367,107.2833 +Coelogyne schultesii,27.740736,98.66582 +Coelogyne stricta,0,0 +Coelogyne suaveolens,21.496918,101.463293 +Coelogyne viscosa,21.85059,101.2672 +Coelogyne wattii,35.86,104.2 +Collabium assamicum,23.519195,110.462487 +Collabium chinense,24.186045,113.415062 +Conchidium muscicola,34.84,104.47 +Conchidium pusillum,31.39,90 +Corallorhiza trifida,29.16,107.1 +Corybas himalaicus,35.86,104.2 +Corybas taliensis,26.9094,98.8631 +Corymborkis veratrifolia,21.91873,101.273735 +Cottonia peduncularis,43.852,127.679 +Cremastra appendiculata,24.780744,112.377423 +Crepidium acuminatum,18.900181,109.682583 +Crepidium aphyllum,35.86,104.2 +Crepidium calophyllum,21.957355,100.452547 +Crepidium josephianum,18.900181,109.682583 +Crepidium khasianum,21.475834,101.56752 +Crepidium purpureum,18.900181,109.682583 +Cryptochilus acuminatus,35.86,104.2 +Cryptochilus luteus,35.86,104.2 +Cryptochilus sanguineus,29.32,95.33 +Cylindrolobus arunachalensis,35.86,104.2 +Cylindrolobus biflorus,35.86,104.2 +Cylindrolobus clavicaulis,35.86,104.2 +Cylindrolobus cristatus,35.86,104.2 +Cylindrolobus glabriflorus,35.86,104.2 +Cylindrolobus gloensis,35.86,104.2 +Cylindrolobus hegdei,35.86,104.2 +Cylindrolobus lohitensis,35.86,104.2 +Cylindrolobus marginatus,35.86,104.2 +Cylindrolobus motuoensis,29.244431,95.175076 +Cylindrolobus tenuicaulis,29.32,95.33 +Cymbidium 脳 gammieanum,29.039409,110.484279 +Cymbidium aloifolium,23.688233,113.045465 +Cymbidium cochleare,29.039409,110.484279 +Cymbidium cyperifolium,24.095943,110.991129 +Cymbidium cyperifolium var. szechuanicum,24.095943,110.991129 +Cymbidium dayanum,24.692597,108.085567 +Cymbidium devonianum,29.32,95.33 +Cymbidium eburneum,18.252625,109.511923 +Cymbidium elegans,27.7297,98.4064 +Cymbidium ensifolium,26.32496,114.514242 +Cymbidium erythraeum,35.86,104.2 +Cymbidium faberi,29.039409,110.484279 +Cymbidium floribundum,0,0 +Cymbidium goeringii,0,0 +Cymbidium hookerianum,0,0 +Cymbidium iridioides,0,0 +Cymbidium kanran,0,0 +Cymbidium lancifolium,0,0 +Cymbidium lowianum,0,0 +Cymbidium macrorhizon,0,0 +Cymbidium mannii,0,0 +Cymbidium mastersii,0,0 +Cymbidium motuoense,0,0 +Cymbidium sinense,0,0 +Cymbidium tigrinum,0,0 +Cymbidium tracyanum,0,0 +Cymbidium wilsonii,0,0 +Cymbilabia undulata,0,0 +Cypripedium bardolphianum,0,0 +Cypripedium cordigerum,0,0 +Cypripedium elegans,0,0 +Cypripedium farreri,0,0 +Cypripedium fasciolatum,0,0 +Cypripedium flavum,0,0 +Cypripedium franchetii,0,0 +Cypripedium guttatum,0,0 +Cypripedium himalaicum,0,0 +Cypripedium ludlowii,0,0 +Cypripedium micranthum,0,0 +Cypripedium plectrochilum,0,0 +Cypripedium subtropicum,0,0 +Cypripedium tibeticum,0,0 +Cypripedium wardii,0,0 +Cyrtosia javanica,0,0 +Dactylorhiza hatagirea,0,0 +Dactylorhiza viridis,0,0 +Dendrobium 脳 vexabile,0,0 +Dendrobium aduncum,0,0 +Dendrobium amoenum,0,0 +Dendrobium anceps,0,0 +Dendrobium aphyllum,0,0 +Dendrobium arunachalense,0,0 +Dendrobium bicameratum,0,0 +Dendrobium catenatum,0,0 +Dendrobium chrysanthum,0,0 +Dendrobium chrysotoxum,0,0 +Dendrobium crepidatum,0,0 +Dendrobium cumulatum,0,0 +Dendrobium densiflorum,0,0 +Dendrobium denudans,0,0 +Dendrobium devonianum,0,0 +Dendrobium falconeri,0,0 +Dendrobium farmeri,0,0 +Dendrobium fimbriatum,0,0 +Dendrobium formosum,0,0 +Dendrobium forrestii,0,0 +Dendrobium fugax,0,0 +Dendrobium gibsonii,0,0 +Dendrobium gratiosissimum,0,0 +Dendrobium henryi,0,0 +Dendrobium heterocarpum,0,0 +Dendrobium hookerianum,0,0 +Dendrobium jenkinsii,0,0 +Dendrobium khasianum,0,0 +Dendrobium lindleyi,0,0 +Dendrobium lituiflorum,0,0 +Dendrobium longicornu,0,0 +Dendrobium macraei,0,0 +Dendrobium macrostachyum,0,0 +Dendrobium mannii,0,0 +Dendrobium moniliforme,0,0 +Dendrobium monticola,0,0 +Dendrobium moschatum,0,0 +Dendrobium nareshbahadurii,0,0 +Dendrobium nobile,0,0 +Dendrobium numaldeorii,0,0 +Dendrobium palpebrae,0,0 +Dendrobium parciflorum,0,0 +Dendrobium parishii,0,0 +Dendrobium pendulum,0,0 +Dendrobium polyanthum,0,0 +Dendrobium porphyrochilum,0,0 +Dendrobium praecinctum,0,0 +Dendrobium pulchellum,0,0 +Dendrobium ruckeri,0,0 +Dendrobium salaccense,0,0 +Dendrobium sessanicum,0,0 +Dendrobium spatella,0,0 +Dendrobium strongylanthum,0,0 +Dendrobium stuposum,0,0 +Dendrobium subansiriense,0,0 +Dendrobium sulcatum,0,0 +Dendrobium terminale,0,0 +Dendrobium thyrsiflorum,0,0 +Dendrobium transparens,0,0 +Dendrobium vexabile,0,0 +Dendrobium wardianum,0,0 +Dendrolirium ferrugineum,0,0 +Dendrolirium kamlangensis,0,0 +Dendrolirium lasiopetalum,0,0 +Dendrolirium tomentosum,0,0 +Didymoplexis pallens,0,0 +Dienia cylindrostachya,0,0 +Dienia ophrydis,0,0 +Diglyphosa latifolia,0,0 +Diplomeris hirsuta,0,0 +Diplomeris josephi,0,0 +Diplomeris pulchella,0,0 +Diploprora championii,0,0 +Diploprora truncata,0,0 +Epigeneium amplum,0,0 +Epigeneium clemensiae,0,0 +Epigeneium fargesii,0,0 +Epigeneium fuscescens,0,0 +Epigeneium rotundatum,0,0 +Epigeneium treutleri,0,0 +Epipactis helleborine,0,0 +Epipactis mairei,0,0 +Epipactis veratrifolia,0,0 +Epipogium aphyllum,0,0 +Epipogium japonicum,0,0 +Epipogium roseum,0,0 +Eria bancana,0,0 +Eria clausa,0,0 +Eria corneri,0,0 +Eria coronaria,0,0 +Eria gagnepainii,0,0 +Eria javanica,0,0 +Eria kamlangensis,0,0 +Eria medogensis,0,0 +Eria paniculata,0,0 +Eria pudica,0,0 +Eria vittata,0,0 +Eriodes barbata,0,0 +Erythrodes hirsuta,0,0 +Esmeralda bella,0,0 +Esmeralda cathcartii,0,0 +Esmeralda clarkei,0,0 +Eucosia viridiflora,0,0 +Eulophia bicallosa,0,0 +Eulophia dabia,0,0 +Eulophia spectabilis,0,0 +Eulophia zollingeri,0,0 +Flickingeria albopurpurea,0,0 +Flickingeria angustifolia,0,0 +Flickingeria macraei,0,0 +Flickingeria ritaeana,0,0 +Galearis roborowskyi,0,0 +Galearis spathulata,0,0 +Galearis tschiliensis,0,0 +Galearis wardii,0,0 +Galeola cathcartii,0,0 +Galeola faberi,0,0 +Galeola falconeri,0,0 +Galeola lindleyana,0,0 +Galeola nudifolia,0,0 +Gastrochilus acutifolius,0,0 +Gastrochilus affinis,0,0 +Gastrochilus arunachalensis,0,0 +Gastrochilus calceolaris,0,0 +Gastrochilus distichus,0,0 +Gastrochilus intermedius,0,0 +Gastrochilus linearifolius,0,0 +Gastrochilus linzhiensis,0,0 +Gastrochilus obliquus,0,0 +Gastrochilus prionophyllus,0,0 +Gastrochilus pseudodistichus,0,0 +Gastrochilus rutilans,0,0 +Gastrochilus sessanicus,0,0 +Gastrochilus setosus,0,0 +Gastrochilus xizangensis,0,0 +Gastrochilus yunnanensis,0,0 +Gastrodia arunachalensis,0,0 +Gastrodia confusa,0,0 +Gastrodia dyeriana,0,0 +Gastrodia elata,0,0 +Gastrodia flavilabella,0,0 +Gastrodia mishmensis,0,0 +Gastrodia putaoensis,0,0 +Geodorum densiflorum,0,0 +Goodyera biflora,0,0 +Goodyera bomiensis,0,0 +Goodyera brachystegia,0,0 +Goodyera foliosa,0,0 +Goodyera fusca,0,0 +Goodyera hemsleyana,0,0 +Goodyera hispida,0,0 +Goodyera medogensis,29.326875,95.328655 +Goodyera nankoensis,35.86,104.2 +Goodyera recurva,35.86,104.2 +Goodyera repens,35.86,104.2 +Goodyera robusta,35.86,104.2 +Goodyera schlechtendaliana,31.08,96.97 +Goodyera vittata,0,0 +Goodyera yunnanensis,28.479722,98.948611 +Gymnadenia bicornis,29.33,95.33 +Gymnadenia conopsea,37.33,111.18 +Gymnadenia crassinervis,29.22,94.22 +Gymnadenia orchidis,25.96805,98.68722 +Habenaria acuifera,24.846283,110.451522 +Habenaria aitchisonii,28.93,93.23 +Habenaria arietina,29.32,95.33 +Habenaria balfouriana,27.42,101.5 +Habenaria davidii,28.85,85.29 +Habenaria delavayi,25.087347,102.675258 +Habenaria dentata,27.340665,117.492653 +Habenaria digitata,27.129282,100.235168 +Habenaria glaucifolia,27.129282,100.235168 +Habenaria intermedia,28.85,85.29 +Habenaria josephi,31.712092,88.118532 +Habenaria linguella,22.32,109.12 +Habenaria mairei,35.86,104.2 +Habenaria pantlingiana,18.626309,109.700342 +Habenaria pectinata,22.01071,100.799775 +Habenaria stenopetala,29.32,95.33 +Habenaria tibetica,28.661276,97.466916 +Habenaria wolongensis,31.08,103.26 +Hemipilia cordifolia,28.85,85.29 +Hemipilia flabellata,26.993328,100.194717 +Hemipilia purpureopunctata,29.9719,95.3647 +Herminium alaschanicum,32.9222,97.2917 +Herminium chloranthum,30.05,101.96 +Herminium clavigerum,27.48,88.9 +Herminium coiloglossum,24.615701,100.709787 +Herminium edgeworthii,29.810263,122.286918 +Herminium humidicola,34.3342,100.509 +Herminium jaffreyanum,24.403562,111.566656 +Herminium josephii,29,93.95 +Herminium kamengense,32.9222,97.2917 +Herminium lanceum,25.7,100.133 +Herminium latilabre,35.86,104.2 +Herminium longilobatum,24.403562,111.566656 +Herminium macrophyllum,28.85,85.29 +Herminium monophyllum,23.437468,104.672252 +Herminium monorchis,28.63638,98.89861 +Herminium motuoensis,29.244431,95.175076 +Herminium ophioglossoides,27.129116,100.235458 +Herminium quinquelobum,35.86,104.2 +Herminium souliei,35.86,104.2 +Herminium tibeticum,27.07901,100.258041 +Herminium wangianum,35.86,104.2 +Herpysma longicaulis,35.86,104.2 +Hetaeria affinis,23.125462,104.702829 +Hetaeria anomala,35.58066,104.610604 +Holcoglossum himalaicum,25.6325,98.7017 +Hsenhsua chrysea,35.86,104.2 +Kuhlhasseltia yakushimensis,27.769089,119.767867 +Liparis assamica,35.86,104.2 +Liparis balansae,29.49,103.39 +Liparis barbata,18.74,109.17 +Liparis bistriata,29.32,95.33 +Liparis bootanensis,35.86,104.2 +Liparis campylostalix,29.85,95.76 +Liparis cathcartii,27.7183,98.5769 +Liparis chapaensis,27.7411,98.3453 +Liparis cheniana,29.496119,103.398589 +Liparis cordifolia,29.32,95.33 +Liparis delicatula,29.32,95.33 +Liparis distans,28.13,106.82 +Liparis elliptica,29.32,95.33 +Liparis gamblei,27.7222,98.4169 +Liparis gigantea,22.446542,111.031652 +Liparis glossula,28.85,85.29 +Liparis luteola,35.58066,104.610604 +Liparis mannii,43.76,128.456 +Liparis nervosa,27.04,114.9 +Liparis nigra,29.32,95.33 +Liparis odorata,25.79,114.53 +Liparis pauliana,25.012526,102.700013 +Liparis perpusilla,29.14,92.59 +Liparis petiolata,29.326488,114.963104 +Liparis plantaginea,35.86,104.2 +Liparis platyrachis,29.32,95.33 +Liparis resupinata,29.32,95.33 +Liparis rostrata,28.85,85.29 +Liparis stricklandiana,22.097768,107.957979 +Liparis viridiflora,35.86,104.2 +Luisia brachystachys,21.957355,100.452547 +Luisia filiformis,22.792186,103.086573 +Luisia inconspicua,29.849918,122.389533 +Luisia morsei,25.13,105.39 +Luisia psyche,29.849918,122.389533 +Luisia teretifolia,18.5,110.03 +Luisia trichorrhiza,18.390535,109.127742 +Luisia zeylanica,29.849918,122.389533 +Malaxis monophyllos,35.86,104.2 +Malaxis muscifera,28.58,92.5 +Malleola tibetica,21.475834,101.56752 +Micropera mannii,27.6588,98.709396 +Micropera obtusa,21.991613,100.805206 +Micropera rostrata,23.44,111.31 +Micropera tibetica,27.129292,100.235176 +Monomeria barbata,35.86,104.2 +Mycaranthes floribunda,21.475834,101.56752 +Mycaranthes pannea,18.900181,109.682583 +Myrmechis japonica,21.957355,100.452547 +Myrmechis pumila,40.21,116.17 +Neogyna gardneriana,35.86,104.2 +Neottia acuminata,35.86,104.2 +Neottia alternifolia,31.85,102.8 +Neottia bicallosa,18.626309,109.700342 +Neottia confusa,21.461975,101.564911 +Neottia dihangensis,35.86,104.2 +Neottia divaricata,29.32,95.33 +Neottia listeroides,35.86,104.2 +Neottia longicaulis,28.85,85.29 +Neottia milinensis,29.260792,94.033485 +Neottia pinetorum,35.86,104.2 +Neottia wardii,30.1711,101.869 +Nephelaphyllum cordifolium,18.745108,109.17663 +Nephelaphyllum pulchrum var. sikkimensis,18.626309,109.700342 +Nervilia aragoana,27.740736,98.66582 +Nervilia gammieana,28.85,85.29 +Nervilia hookeriana,21.475834,101.56752 +Nervilia infundibulifolia,21.475834,101.56752 +Nervilia juliana,21.475834,101.56752 +Nervilia mackinnonii,23.42,105.85 +Nervilia macroglossa,21.475834,101.56752 +Oberonia acaulis,29.32,95.33 +Oberonia acaulis var. latipetala,35.86,104.2 +Oberonia anthropophora,18.626309,109.700342 +Oberonia arunachalensis,25.104264,107.509707 +Oberonia bopannae,25.104264,107.509707 +Oberonia caulescens,29.85,95.76 +Oberonia cavaleriei,25.104264,107.509707 +Oberonia emarginata,25.104264,107.509707 +Oberonia ensiformis,25.107246,108.315175 +Oberonia falcata,25.104264,107.509707 +Oberonia falconeri,22.01071,100.799775 +Oberonia gammiei,18.62,109.7 +Oberonia helferi,25.104264,107.509707 +Oberonia jenkinsiana,24.615701,100.709786 +Oberonia jhae,25.104264,107.509707 +Oberonia kamlangensis,25.104264,107.509707 +Oberonia kwangsiensis,35.86,104.2 +Oberonia langbianensis,22.7,100.86 +Oberonia latipetala,35.86,104.2 +Oberonia longibracteata,25.104264,107.509707 +Oberonia mannii,29.32,95.33 +Oberonia maxima,22.01071,100.799775 +Oberonia mucronata,25.104264,107.509707 +Oberonia obcordata,29.32,95.33 +Oberonia pachyrachis,22.555882,99.932102 +Oberonia prainiana,29.6111,94.6517 +Oberonia pumilio,25.104264,107.509707 +Oberonia pyrulifera,35.86,104.2 +Oberonia recurva,25.104264,107.509707 +Oberonia rufilabris,18.5,110.03 +Odontochilus brevistylis,23.437468,104.672252 +Odontochilus clarkei,29.32,95.33 +Odontochilus crispus,29.32,95.33 +Odontochilus elwesii,29.496119,103.398589 +Odontochilus grandiflorus,22.98,103.68 +Odontochilus lanceolatus,25.138185,99.17943 +Odontochilus poilanei,29.32,95.33 +Odontochilus tortus,29.32,95.33 +Oreorchis erythrochrysea,27.93231,99.614166 +Oreorchis foliosa,29.58,94.92 +Oreorchis foliosa var. indica,31.712092,88.118532 +Oreorchis micrantha,29.63,94.36 +Oreorchis nana,32.637983,103.59895 +Oreorchis nepalensis,31.712092,88.118532 +Oreorchis patens,27.45,99.9 +Oreorchis yachangensis,27.93231,99.614166 +Ornithochilus difformis,24.16,107.2 +Otochilus albus,35.86,104.2 +Otochilus fuscus,28.1589,98.3256 +Otochilus lancilabius,29.32,95.33 +Otochilus porrectus,35.86,104.2 +Pachystoma pubescens,25.25,106.17 +Panisea demissa,26.0067,98.6586 +Panisea panchaseensis,26.0067,98.6586 +Panisea tricallosa,22.983563,103.687613 +Panisea yunnanensis,23.125462,104.702829 +Paphiopedilum fairrieanum,35.86,104.2 +Paphiopedilum micranthum,23.437468,104.672252 +Paphiopedilum venustum,29.32,95.33 +Paphiopedilum wardii,35.86,104.2 +Papilionanthe teres,21.475834,101.56752 +Papilionanthe uniflora,29.32,95.33 +Papilionanthe vandarum,21.475834,101.56752 +Pecteilis susannae,23.688233,113.045465 +Pennilabium proboscideum,22,100.2 +Pennilabium struthio,22,100.2 +Peristylus affinis,35.86,104.2 +Peristylus biermannianus,27.4592,99.9172 +Peristylus coeloceras,25.8833,100.017 +Peristylus elisabethae,28.85,85.29 +Peristylus fallax,29.037008,100.298406 +Peristylus forceps,25.07,102.68 +Peristylus goodyeroides,22.758186,108.487812 +Peristylus mannii,26.655322,102.244617 +Peristylus prainii,30.1828,99.9925 +Peristylus richardianus,27.4592,99.9172 +Peristylus superanthus,27.4592,99.9172 +Phaius flavus,25.6,110.58 +Phaius mishmensis,29.32,95.33 +Phaius tancarvilleae,36.519977,103.891767 +Phaius wallichii,21.475834,101.56752 +Phalaenopsis braceana,25.416667,98.5 +Phalaenopsis deliciosa,18.252013,109.504134 +Phalaenopsis lobbii,35.86,104.2 +Phalaenopsis mannii,21.475834,101.56752 +Phalaenopsis marriottiana var. parishii,22.01071,100.799775 +Phalaenopsis medogensis,29.326875,95.328655 +Phalaenopsis parishii,22.01071,100.799775 +Phalaenopsis taenialis,28.85,85.29 +Phalaenopsis wilsonii,35.86,104.2 +Pholidota articulata,29.32,95.33 +Pholidota chinensis,35.86,104.2 +Pholidota convallariae,35.86,104.2 +Pholidota imbricata,27.7731,98.3339 +Pholidota missionariorum,25.46,105.28 +Pholidota pallida,27.402909,102.17533 +Pholidota protracta,35.86,104.2 +Pholidota rubra,23.174167,104.829722 +Phreatia elegans,23.298608,103.494193 +Pinalia acervata,29.32,95.33 +Pinalia amica,18.900181,109.682583 +Pinalia apertiflora,35.86,104.2 +Pinalia bipunctata,21.475834,101.56752 +Pinalia bractescens,35.86,104.2 +Pinalia conferta,29.32,95.33 +Pinalia connata,35.86,104.2 +Pinalia excavata,29.32,95.33 +Pinalia globulifera,35.86,104.2 +Pinalia graminifolia,35.86,104.2 +Pinalia pachyphylla,35.86,104.2 +Pinalia pumila,22.15,107.98 +Pinalia salwinensis,35.86,104.2 +Pinalia sharmae,35.86,104.2 +Pinalia spicata,35.86,104.2 +Pinalia stricta,24.812778,98.785278 +Platanthera arcuata,29.32,95.33 +Platanthera bakeriana,35.86,104.2 +Platanthera bhutanica,28.9164,102.216 +Platanthera chiloglossa,35.86,104.2 +Platanthera chlorantha,40.21,116.17 +Platanthera clavigera,27.48,88.9 +Platanthera curvata,29.496119,103.398589 +Platanthera densa,40.0301,115.470601 +Platanthera dulongensis,27.740736,98.66582 +Platanthera dyeriana,25.251896,106.174257 +Platanthera exelliana,35.86,104.2 +Platanthera handel-mazzettii,27.740736,98.66582 +Platanthera juncea,30,93.94 +Platanthera latilabris,35.86,104.2 +Platanthera leptocaulon,35.86,104.2 +Platanthera milinensis,29.260792,94.033485 +Platanthera minutiflora,29.85,95.76 +Platanthera nematocaulon,27.73,98.67 +Platanthera opsimantha,32.5572,98.0625 +Platanthera orbicularis,27.740736,98.66582 +Platanthera roseotincta,35.86,104.2 +Platanthera sikkimensis,27.740736,98.66582 +Platanthera stenantha,35.86,104.2 +Platanthera stenophylla,35.86,104.2 +Platanthera urceolata,35.86,104.2 +Platanthera yadongensis,27.1598,101.273 +Pleione arunachalensis,35.86,104.2 +Pleione bulbocodioides,25.395202,114.358084 +Pleione grandiflora,29.32,95.33 +Pleione hookeriana,25.60168,110.585686 +Pleione humilis,35.86,104.2 +Pleione maculata,35.86,104.2 +Pleione praecox,22.555882,99.932102 +Pleione saxicola,35.86,104.2 +Pleione scopulorum,35.86,104.2 +Podochilus khasianus,25.107246,108.315175 +Pogonia yunnanensis,35.86,104.2 +Pomatocalpa armigerum,18.745108,109.17663 +Pomatocalpa spicatum,18.745108,109.17663 +Pomatocalpa undulatum,21.48,101.57 +Ponerorchis chusua,28.403917,99.449661 +Ponerorchis compacta,28.403917,99.449661 +Ponerorchis cucullata,28.403917,99.449661 +Ponerorchis cucullata var. calcicola,27.824167,89.269165 +Ponerorchis farreri,36.20172,120.23599 +Ponerorchis forrestii,26.812778,100.182778 +Ponerorchis luteola,28.403917,99.449661 +Ponerorchis monantha,28.403917,99.449661 +Ponerorchis pulchella,28.403917,99.449661 +Ponerorchis secundiflora,28.403917,99.449661 +Ponerorchis tetraloba,25.6,99.9 +Ponerorchis tibetica,27.129292,100.235176 +Porpax elwesii,27.6244,99.6433 +Porpax seidenfadenii,21.957355,100.452547 +Pteroceras teres,21.475834,101.56752 +Renanthera imschootiana,18.74,109.17 +Rhomboda abbreviata,25.02,117.53 +Rhomboda arunachalensis,35.86,104.2 +Rhomboda moulmeinensis,35.86,104.2 +Rhomboda tokioi,23.436431,116.732253 +Rhynchostylis retusa,23.160603,106.288701 +Risleya atropurpurea,29.91,102.23 +Robiquetia arunachalensis,22.391288,106.817838 +Robiquetia spathulata,24.24,115.75 +Robiquetia succisa,22.391288,106.817838 +Saccolabiopsis pusilla,25.239186,113.223655 +Salacistis fumata,18.626309,109.700342 +Salacistis rubicunda,25.7981,100.3643 +Sarcoglyphis arunachalensis,21.957355,100.452547 +Satyrium nepalense,25.981383,98.680207 +Satyrium nepalense var. ciliatum,27.812516,99.817617 +Schoenorchis gemmata,18.252625,109.511923 +Schoenorchis mishmensis,27.6967,98.2881 +Smitinandia micrantha,24.448439,98.566933 +Spathoglottis arunachalensis,24.83,114.14 +Spathoglottis ixioides,28.85,85.29 +Spathoglottis plicata,21.926388,101.251522 +Spathoglottis pubescens,24.83,114.14 +Spiranthes flexuosa,29.767572,121.315632 +Spiranthes sinensis,45.354,129.542 +Stereochilus arunachalensis,25.104264,107.509707 +Stereochilus hirtus,35.86,104.2 +Stereosandra javanica,21.957355,100.452547 +Sunipia andersonii,26.901731,98.869207 +Sunipia bicolor,35.86,104.2 +Sunipia candida,28.66,97.46 +Sunipia intermedia,35.86,104.2 +Sunipia nepalensis,35.86,104.2 +Sunipia scariosa,21.957355,100.452547 +Taeniophyllum arunachalense,27.645864,119.637643 +Taeniophyllum crepidiforme,27.645864,119.637643 +Taeniophyllum glandulosum,27.645864,119.637643 +Taeniophyllum javanicum,27.645864,119.637643 +Taeniophyllum retrospiculatum,27.645864,119.637643 +Taeniophyllum stella,27.645864,119.637643 +Taeniophyllum xizangense,29.7547,91.9375 +Tainia dunnii,24.95476,115.650136 +Tainia latifolia,35.86,104.2 +Tainia minor,35.86,104.2 +Thelasis khasiana,22.01071,100.799775 +Thelasis longifolia,21.957355,100.452547 +Thelasis pygmaea,21.957355,100.452547 +Thrixspermum centipeda,22.09,107.95 +Thrixspermum musciflorum,21.613427,108.053037 +Thrixspermum pygmaeum,21.613427,108.053037 +Thrixspermum saruwatarii,26.079649,119.390665 +Thunia alba,23.763342,98.82524 +Tipularia josephi,29.85,95.76 +Tipularia josephii,32.583333,103.833333 +Tipularia szechuanica,32.583333,103.833333 +Trachoma rhopalorrhachis,0,0 +Trias disciflora,27.37,117.48 +Trichotosia dasyphylla,21.475834,101.56752 +Trichotosia pulvinata,21.48,101.57 +Trichotosia velutina,21.475834,101.56752 +Tropidia angulosa,22.391288,106.817838 +Tropidia curculigoides,23.25013,111.266023 +Uncifera acuminata,24.8308,98.7678 +Uncifera lancifolia,24.8308,98.7678 +Uncifera obtusifolia,24.8308,98.7678 +Vanda alpina,24.70519,97.93184 +Vanda bicolor,35.86,104.2 +Vanda brunnea,21.957355,100.452547 +Vanda coerulescens,22.753063,100.893393 +Vanda concolor,29.32,95.33 +Vanda cristata,23.763342,98.82524 +Vanda pumila,21.957355,100.452547 +Vanda stangeana,29.32,95.33 +Vanda testacea,22.5,99.9 +Yoania prainii,31.35,119.82 +Zeuxine agyokuana,22.01071,100.799775 +Zeuxine flava,27.493056,98.830833 +Zeuxine goodyeroides,22.983563,103.687613 +Zeuxine lindleyana,28.401367,99.44976 +Zeuxine longilabris,22.01071,100.799775 +Zeuxine nervosa,35.86,104.2 +Zeuxine parvifolia,22.581611,114.205166 +Zeuxine strateumatica,22.929376,112.044025 +Curculigo capitulata,35.86,104.2 +Curculigo crassifolia,35.86,104.2 +Curculigo orchioides,29.8,106.39 +Curculigo prainiana,29.6111,94.6517 +Hypoxis aurea,22.75,109.2 +Belamcanda chinensis,35.86,104.2 +Iris bulleyana,35.86,104.2 +Iris chrysographes,35.86,104.2 +Iris clarkei,27.48,88.9 +Iris collettii,27.450903,99.822319 +Iris cuniculiformis,27.44879,99.823021 +Iris decora,29,101.5 +Iris delavayi,35.86,104.2 +Iris dolichosiphon subsp. orientalis,27.733333,99.966667 +Iris farreri,32.666667,103.583333 +Iris forrestii,35.86,104.2 +Iris goniocarpa,35.20256,102.521732 +Iris japonica,24.983333,112.833333 +Iris kemaonensis,27.42,101.5 +Iris lactea,40.5,115.8 +Iris lactea var. chrysantha,36.28,100.62 +Iris latistyla,29.65,91.12 +Iris latistyla f. albiflora,29.65,91.12 +Iris loczyi,37.503189,101.760864 +Iris milesii,25.7667,100.017 +Iris potaninii,33.727778,99.350278 +Iris ramsayi,23.115335,105.973434 +Iris ruthenica,27.81861,99.70027 +Iris speculatrix,29.48,119.33 +Iris tectorum,33.98,108.2 +Iris tenuifolia,45,124.02 +Iris uniflora,47.77,128.91 +Iris wattii,35.86,104.2 +Iris zhaoana,32.95,94.37 +Sisyrinchium rosulatum,30.07,102.75 +Dianella ensifolia,24.7931,98.8806 +Eremurus chinensis,28.795,99.8372 +Hemerocallis citrina,25.897942,111.009947 +Hemerocallis fulva,26.876096,100.229945 +Allium atrosanguineum,34.633333,99.733333 +Allium atrosanguineum var. tibeticum,29.7108,98.0025 +Allium beesianum,34.75,100.22 +Allium carolinianum,34.460556,100.401667 +Allium cepa,24.706769,102.928677 +Allium changduense,31.13,97.18 +Allium chrysanthum,36.92,101.32 +Allium cyaneum,32.075556,97.065278 +Allium cyathophorum,34.65,100.62 +Allium eusperma,28.7922,99.8372 +Allium farreri,34.43808,104.036837 +Allium fasciculatum,27.724,89.149 +Allium fistulosum,44.312423,86.085507 +Allium forrestii,31.08,96.97 +Allium hookeri,35.86,104.2 +Allium jacquemontii,38.9,75.2 +Allium kingdonii,28.360138,93.114188 +Allium macranthum,27.82308,99.706013 +Allium macrostemon,43.85,127.637 +Allium mairei,35.86,104.2 +Allium phariense,28.85,85.29 +Allium prattii,35.86,104.2 +Allium przewalskianum,28.48611,98.911543 +Allium ramosum,43.83,126.553 +Allium rhabdotum,28,91.95 +Allium rude,33.76,99.433889 +Allium sativum,23.127041,113.341527 +Allium sikkimense,30.055305,101.96483 +Allium spicatum,28.85,85.29 +Allium tanguticum,34.683333,100.683333 +Allium thunbergii,43.65,124.98 +Allium tuberosum,0,0 +Allium wallichii,0,0 +Crinum amoenum,0,0 +Crinum latifolium,0,0 +Crinum lorifolium,25.883333,100.166667 +Crinum wattii,35.86,104.2 +Zephyranthes candida,30.003126,117.983315 +Zephyranthes carinata,28.65,121.27 +Agave americana,26.17,118.18 +Agave vera-cruz,26.17,118.18 +Asparagus cochinchinensis,28.27,105.1 +Asparagus filicinus,32.080278,97.02 +Asparagus longiflorus,35.21,106.65 +Asparagus lycopodineus,24.8378,98.7647 +Asparagus myriacanthus,28.661276,97.466916 +Asparagus officinalis,28.74,115.82 +Asparagus racemosus,28.85,85.29 +Asparagus sichuanicus,31.13,97.18 +Asparagus tibeticus,32.061655,102.990174 +Chlorophytum arundinaceum,28.85,85.29 +Chlorophytum nepalense,28.85,85.29 +Dracaena angustifolia,19.25,110.45 +Dracaena petiolata,18.62,109.7 +Maianthemum atropurpureum,35.86,104.2 +Maianthemum fuscum,28.36,87.76 +Maianthemum fuscum var. cordatum,28.002361,98.320862 +Maianthemum henryi,27.93099,99.614937 +Maianthemum oleraceum,28.36,87.76 +Maianthemum purpureum,28.66,97.46 +Maianthemum tatsienense,35.86,104.2 +Ophiopogon bodinieri,26.993118,100.195396 +Ophiopogon clarkei,29.000343,101.507299 +Ophiopogon dracaenoides,24.175587,110.235565 +Ophiopogon intermedius,26.380833,110.814444 +Ophiopogon megalanthus,23.763342,98.82524 +Ophiopogon motouensis,29.32,95.33 +Peliosanthes ligniradicis,35.86,104.2 +Peliosanthes macrostegia,27.2,109.83 +Peliosanthes sinica,22.01071,100.799775 +Peliosanthes teta,29.32,95.33 +Peliosanthes violacea,35.86,104.2 +Polygonatum angelicum,27.0983,100.175 +Polygonatum autumnale,29.68,115.98 +Polygonatum brevistylum,31.82,108.62 +Polygonatum cathcartii,27.6303,98.6217 +Polygonatum cirrhifolium,28.98,93.22 +Polygonatum graminifolium,29.08,93.08 +Polygonatum griffithii,29.9894,94.8653 +Polygonatum hookeri,33.716667,99.35 +Polygonatum luteoverrucosum,27.0983,100.175 +Polygonatum nervulosum,29.32,95.33 +Polygonatum oppositifolium,29.32,95.33 +Polygonatum punctatum,35.86,104.2 +Polygonatum undulatifolium,33.976206,107.249372 +Polygonatum verticillatum,32.050556,97.24 +Polygonatum wardii,29.18,94.02 +Rohdea aurantiaca,36.519977,103.891767 +Rohdea delavayi,35.86,104.2 +Rohdea eucomoides,24.69867,112.914938 +Rohdea medogensis,29.326875,95.328655 +Rohdea wattii,24.392902,106.633387 +Theropogon pallidus,24.580446,99.92854 +Tupistra clarkei,35.86,104.2 +Tupistra nutans,35.86,104.2 +Tupistra stoliczana,35.86,104.2 +Tupistra stoliczkana,35.86,104.2 +Arenga micrantha,29.33,95.33 +Arenga pinnata,18.252625,109.511923 +Arenga westerhoutii,23.625319,105.630906 +Calamus acanthospathus,27.6903,98.280701 +Calamus erectus,25.545676,115.852736 +Calamus flagellum,29.32,95.33 +Calamus floribundus,25.545676,115.852736 +Calamus gracilis,21.475834,101.56752 +Calamus inermis,18.626309,109.700342 +Caryota maxima,29.15,112.5 +Caryota obtusa,27.6903,98.280701 +Cocos nucifera,20.33,110.17 +Licuala peltata,18.74,109.17 +Phoenix sylvestris,30.402347,114.419692 +Pinanga baviensis,29.32,95.33 +Pinanga gracilis,29.32,95.33 +Pinanga hexasticha,18.25,109.51 +Rhapis excelsa,39.91559,116.39698 +Trachycarpus fortunei,29.5,103.333333 +Trachycarpus takil,24.392902,106.633387 +Wallichia caryotoides,21.934011,101.260734 +Wallichia disticha,29.33,95.33 +Wallichia gracilis,29.32,95.33 +Wallichia nana,21.934011,101.260734 +Wallichia oblongifolia,21.934011,101.260734 +Wallichia triandra,21.934011,101.260734 +Amischotolype hispida,21.934011,101.260734 +Amischotolype hookeri,29.32,95.33 +Amischotolype mollissima,35.86,104.2 +Commelina appendiculata,40.012558,116.391694 +Commelina communis,40.012558,116.391694 +Commelina diffusa,29.32,95.33 +Commelina maculata,35.86,104.2 +Commelina paludosa,29.47,103.7 +Commelina sikkimensis,35.86,104.2 +Cyanotis arachnoidea,35.86,104.2 +Cyanotis axillaris,23.605727,104.337169 +Cyanotis cristata,35.86,104.2 +Cyanotis fasciculata,28.02527,98.62027 +Cyanotis vaga,35.86,104.2 +Floscopa scandens,24.983333,112.833333 +Murdannia divergens,27.4,102.17 +Murdannia gigantea,24.983333,112.833333 +Murdannia japonica,21.957355,100.452547 +Murdannia loriformis,24.95,115.65 +Murdannia nudiflora,35.86,104.2 +Murdannia simplex,25.25,110.05 +Murdannia spirata,18.252013,109.504134 +Murdannia triquetra,33.9,113.01 +Pollia hasskarlii,35.86,104.2 +Pollia secundiflora,24.93,105.84 +Pollia subumbellata,35.86,104.2 +Rhopalephora scaberrima,25.0036,98.7247 +Spatholirion longifolium,27.376188,102.539939 +Streptolirion volubile,24.9936,102.4589 +Streptolirion volubile subsp. khasianum,25.75,105 +Tricarpelema giganteum,29.32,95.33 +Tricarpelema glanduliferum,29.32,95.33 +Tricarpelema xizangense,24.82,97.74 +Monochoria hastata,23.12,113.34 +Monochoria vaginalis,44.262,129.349 +Ensete glaucum,24.859801,97.899802 +Musa acuminata,21.727015,101.586975 +Musa argentii,23.127041,113.341527 +Musa arunachalensis,25.22845,113.217309 +Musa aurantiaca,29.273089,95.162024 +Musa balbisiana,25.22845,113.217309 +Musa basjoo,23.605727,104.337169 +Musa cheesmanii,25.22845,113.217309 +Musa kamengensis,29.32521,95.33304 +Musa markkuana,23.127041,113.341527 +Musa markkui,23.127041,113.341527 +Musa puspanjaliae,23.127041,113.341527 +Musa sanguinea,25.22845,113.217309 +Musa velutina,21.927765,101.256592 +Phrynium placentarium,22.75506,109.207192 +Phrynium pubinerve,21.929,101.252 +Phrynium rheedei,22.097768,107.957979 +Hellenia oblonga,35.86,104.2 +Hellenia speciosa,21.68,101.31 +Alpinia blepharocalyx,35.86,104.2 +Alpinia emaculata,39.92,111.68 +Alpinia malaccensis,29.32,95.33 +Alpinia nigra,22.01071,100.799775 +Amomum arunachalense,29.32,95.33 +Amomum dealbatum,29.33,95.33 +Amomum maximum,29.32,95.33 +Amomum nimkeyense,29.32,95.33 +Amomum riwatchii,22.46,107.83 +Amomum subcapitatum,23.651079,113.671053 +Amomum subulatum,29.32,95.33 +Amomum tibeticum,29.32,95.33 +Amomum xizangense,29.241667,95.15889 +Cautleya gracilis,25.8333,99.9833 +Cautleya gracilis var. robusta,26.876096,100.229945 +Cautleya spicata,35.86,104.2 +Curcuma amada,26.2,107.05 +Curcuma aromatica,22.75,109.2 +Curcuma longa,24.884626,104.308791 +Curcuma montana,24.7,117.31 +Curcuma phaeocaulis,23.27793,114.052418 +Curcuma rubescens,24.7,117.31 +Globba clarkei,22.018898,100.397064 +Globba multiflora,22.018898,100.397064 +Globba racemosa,26.32,116.34 +Hedychium aureum,23.605727,104.337169 +Hedychium bijiangense,27.740736,98.66582 +Hedychium coccineum,21.957355,100.452547 +Hedychium coronarium,29.47,103.7 +Hedychium densiflorum,29.85,95.76 +Hedychium efilamentosum,28.02,98.6175 +Hedychium ellipticum,22.248464,99.456155 +Hedychium flavum,29.32,95.33 +Hedychium forrestii,23.258134,105.822072 +Hedychium gardnerianum,27.19072,98.883118 +Hedychium gomezianum,28.66,97.46 +Hedychium gracile,28.66,97.46 +Hedychium gracillimum,28.66,97.46 +Hedychium longipedunculatum,24.392902,106.633387 +Hedychium mechukanum,29.32,95.33 +Hedychium parvibracteatum,29.85,95.76 +Hedychium radiatum,27.9099,99.6286 +Hedychium raoi,29.32,95.33 +Hedychium robustum,28.66,97.46 +Hedychium sinoaureum,27.7314,98.3461 +Hedychium spicatum,29.22,102.35 +Hedychium spicatum var. acuminatum,28.85,85.29 +Hedychium stenopetalum,29.32,95.33 +Hedychium thyrsiforme,30.247126,120.144424 +Hedychium villosum,23.763342,98.82524 +Hedychium wardii,27.877944,98.336 +Hedychium yunnanense,35.86,104.2 +Larsenianthus arunachalensis,25.104264,107.509707 +Larsenianthus careyanus,0,0 +Roscoea alpina,25.7167,100.033 +Roscoea auriculata,26.876096,100.229945 +Roscoea bhutanica,35.86,104.2 +Roscoea brandisii,35.86,104.2 +Roscoea capitata,28.85,85.29 +Roscoea cautleoides,25.7,100.133 +Roscoea debilis,35.86,104.2 +Roscoea humeana,27.078768,100.259399 +Roscoea megalantha,35.86,104.2 +Roscoea schneideriana,29.0906,99.6747 +Roscoea tibetica,28.554939,99.822655 +Roscoea wardii,28.48611,98.911543 +Stahlianthus involucratus,21.957355,100.452547 +Wurfbainia aromatica,22.085853,100.995758 +Zingiber arunachalensis,26.587146,114.100817 +Zingiber campanulatum,27.624517,99.643997 +Zingiber capitatum,26.587146,114.100817 +Zingiber caudatum,24.721418,110.475769 +Zingiber chrysanthum,25.225674,98.803339 +Zingiber cornigerum,30.27,120.17 +Zingiber purpureum,22.7,100.86 +Zingiber roseum,25.03,102.67 +Zingiber rubens,26.587146,114.100817 +Zingiber zerumbet,24.709264,117.31493 +Sparganium fallax,29.13,121.03 +Sparganium glomeratum,44.691,130.535 +Sparganium limosum,29.32,95.33 +Sparganium stoloniferum,27.82308,99.706013 +Sparganium yunnanense,29.32,95.33 +Typha angustifolia,37.83,112.52 +Typha latifolia,35.81,108.01 +Typha laxmannii,45.2,127.85 +Typha orientalis,28.66,97.46 +Eriocaulon alpestre,27.177166,99.28717 +Eriocaulon brownianum,35.86,104.2 +Eriocaulon buergerianum,26.466667,111.316667 +Eriocaulon cinereum,26.076106,119.306406 +Eriocaulon nepalense,35.86,104.2 +Eriocaulon nepalense var. luzulifolium,46.300861,129.538917 +Eriocaulon sollyanum,28.17,85.98 +Juncus alatus,29.14,120.97 +Juncus allioides,32.752778,97.214722 +Juncus alpinoarticulatus,46.45,122.93 +Juncus amplifolius,29.58,95.02 +Juncus articulatus,35.86,104.2 +Juncus benghalensis,35.86,104.2 +Juncus brachystigma,27.177166,99.28717 +Juncus bracteatus,29.88,93.24 +Juncus bufonius,32.094444,97.266667 +Juncus castaneus,34.3575,100.255556 +Juncus cephalostigma,28.46357,98.91699 +Juncus cephalostigma var. dingjieensis,28.37,87.77 +Juncus chrysocarpus,29.32,95.33 +Juncus clarkei,35.86,104.2 +Juncus concinnus,25.584234,100.222124 +Juncus effusus,46.45,122.93 +Juncus giganteus,38.24,101.96 +Juncus gracilicaulis,25.75,100.08 +Juncus grisebachii,29.9,94.87 +Juncus himalensis,35.86,104.2 +Juncus inflexus,29.85,95.76 +Juncus khasiensis,27.42,101.5 +Juncus kingii,31.712092,88.118532 +Juncus leptospermus,26.876096,100.229945 +Juncus leucanthus,34.84,104.47 +Juncus leucomelas,28.649583,98.615834 +Juncus membranaceus,29.32,95.33 +Juncus milashanensis,34.648889,100.610556 +Juncus minimus,28.647167,98.610556 +Juncus nigroviolaceus,28,91.95 +Juncus ochraceus,29.87,95.77 +Juncus perpusillus,36.519977,103.891767 +Juncus potaninii,34.588611,100.557778 +Juncus prismatocarpus,29.67,102.62 +Juncus prismatocarpus subsp. teretifolius,23.127041,113.341527 +Juncus przewalskii,35.86,104.2 +Juncus setchuensis,36.205763,120.419669 +Juncus sikkimensis,35.86,104.2 +Juncus sphacelatus,35.86,104.2 +Juncus thomsonii,34.469167,100.3925 +Juncus triglumis,36.519977,103.891767 +Juncus triglumis subsp. albescens,36.519977,103.891767 +Juncus unifolius,29.63,94.36 +Luzula bomiensis,29.85,95.76 +Luzula campestris,34.07,107.32 +Luzula effusa,36.519977,103.891767 +Luzula jilongensis,27.177166,99.28717 +Luzula multiflora,35.86,104.2 +Luzula oligantha,29.32,95.33 +Luzula plumosa,25.584234,100.222124 +Luzula spicata,23.125462,104.702829 +Luzula sudetica,30.03,101.02 +Blysmus compressus,29.77,84.03 +Blysmus sinocompressus,34.3342,100.509 +Bulbostylis densa,29.05,93.92 +Carex alatauensis,34.365,100.193 +Carex alopecuroides,35.86,104.2 +Carex alta,24.83,103.98 +Carex atrata,28.596944,99.867778 +Carex atrata subsp. pullata,28.484444,98.948889 +Carex atrofusca subsp. minor,37.88,77.41 +Carex atrofuscoides,32.63,103.59 +Carex baccans,18.73,109.863889 +Carex bhutanensis,31.01,85.15 +Carex bijiangensis,28.8754,93.113 +Carex bistaminata,36.92,101.32 +Carex bodinieri,26.72,117.47 +Carex bonatiana,27.1732,99.4265 +Carex breviculmis,36.366097,120.686967 +Carex brunnea,30.5854,108.91005 +Carex burangensis,30.3,81.17 +Carex burttii,24.92,114.78 +Carex caespititia,30.76996,90.96733 +Carex caespitosa,46.72,131.13 +Carex capillacea,35.86,104.2 +Carex capillifolia,34.3683,100.222 +Carex cardiolepis,32.7464,97.3472 +Carex cercostachys,31.274167,92.110278 +Carex chlorostachys,36.92697,101.685623 +Carex clavispica,27.48,88.9 +Carex composita,22.983563,103.687613 +Carex confertiflora,27.62417,98.633057 +Carex coninux,36.97,103.14 +Carex coriophora,46.648944,131.122385 +Carex crebra,32.0944,97.2667 +Carex cruciata,25.76666,100.1 +Carex cruenta,29.9,94.87 +Carex curticeps,28.85,85.3 +Carex daltoni,30.76996,90.96733 +Carex deasyi,28.36,87.76 +Carex desponsa,29.1,107 +Carex doniana,31.463072,120.38427 +Carex duthiei,29.583333,94.95 +Carex echinata,42.33,127.28 +Carex eleusinoides,43.12,128.9 +Carex enervis,49.2,118.45 +Carex esenbeckii,28.85,85.29 +Carex fastigiata,27.82308,99.706013 +Carex fedia,30.76996,90.96733 +Carex filicina,23.301178,114.026178 +Carex filispica,28.66,97.46 +Carex finitima,25.60168,110.585686 +Carex fissiglumis,28.48,98.92 +Carex fluviatilis,25.012526,102.700013 +Carex forrestii,26.876096,100.229945 +Carex gammiei,28.12,91.9 +Carex gentilis,27.74166,98.6675 +Carex gongshanensis,35.86,104.2 +Carex haematostoma,28.48611,98.911543 +Carex hebecarpa,29.83,102.83 +Carex hemineuros,30.76996,90.96733 +Carex himalaica,27.791447,99.582588 +Carex hohxilensis,33.38,79.73 +Carex hughii,34.4606,100.402 +Carex inanis,27.177166,99.28717 +Carex insignis,35.86,104.2 +Carex ivanoviae,32.3,84.06 +Carex jinfoshanensis,29.16,107.1 +Carex kansuensis,34.3683,100.222 +Carex karoi,37.6,112.2 +Carex kokanica,35.86,104.2 +Carex lanceolata,31.131368,118.174192 +Carex lehmannii,31.95,102.65 +Carex lepidochlamys,32.58333,103.83333 +Carex ligulata,35.86,104.2 +Carex littledalei,31.47,79.8 +Carex longipes,35.86,104.2 +Carex makuensis,35.86,104.2 +Carex melanantha,28.55,89.68 +Carex microglochin,30.05,101.96 +Carex montis-everestii,32.88,96.68 +Carex moorcroftii,34.3108,99.1814 +Carex motuoensis,29.244431,95.175076 +Carex munda,28.17,85.98 +Carex myosurus,35.86,104.2 +Carex neesii,28.66,97.46 +Carex nivalis,35.86,104.2 +Carex noltiei,30.76996,90.96733 +Carex notha,35.99,109.37 +Carex nubigena,23.763342,98.82524 +Carex nudicarpa,32.0944,97.2667 +Carex obscura,29.02,93.95 +Carex orbicularis,29.22,94.22 +Carex ovatispiculata,28.48611,98.911543 +Carex oxyphylla,35.86,104.2 +Carex pamirica,37.346131,90.296832 +Carex paratatsiensis,30.76996,90.96733 +Carex parva,0,0 +Carex parvula,0,0 +Carex peichuniana,35.86,104.2 +Carex plectobasis,0,0 +Carex polycephala,25.841921,98.857727 +Carex praeclara,30.33,90.57 +Carex przewalskii,36.63,101.17 +Carex pseudofoetida,0,0 +Carex pseudogammiei,27.42,101.5 +Carex pseudolaxa,28.85,85.29 +Carex pseuduncinoides,30.63,93.2 +Carex psychrophila,31.0003,123.5017 +Carex pulchra,35.86,104.2 +Carex purpureosquamata,25.75,100.083333 +Carex rara,29.67,102.62 +Carex remotiuscula,46.300861,129.538917 +Carex ridongensis,35.86,104.2 +Carex rochebrunei,28.08428,102.94744 +Carex rochebrunii,0,0 +Carex rubrobrunnea,26.245761,113.986614 +Carex sagaensis,0,0 +Carex sanjappae,0,0 +Carex sargentiana,35.433217,93.598783 +Carex satakeana,30.48,91.1 +Carex scabrirostris,0,0 +Carex schneideri,30.066708,102.758313 +Carex scitula,23.298608,103.494193 +Carex scolopendriformis,0,0 +Carex setigera,30.13,81.33 +Carex setosa,0,0 +Carex setschwanensis,0,0 +Carex speciosa subsp. pinetorum,40.57,124.03 +Carex staintonii,31.21,98.82 +Carex stenophylloides,37.62,78.28 +Carex stramentitia,22.64,103.9 +Carex subfilicinoides,0,0 +Carex tapintzensis,28.66,97.46 +Carex tatsiensis,33.3769,100.29 +Carex teinogyna,0,0 +Carex teres,27.624167,98.633056 +Carex thomsonii,0,0 +Carex tibetikobresia,29.89,91.26 +Carex tingnungii,0,0 +Carex uncinioides,35.86,104.2 +Carex vaginosa,29.22,94.21 +Carex vidua,28.491111,98.939722 +Carex wallichiana,35.86,104.2 +Carex yadongensis,27.48,88.9 +Carex yanchengii,0,0 +Carex yunnanensis,35.86,104.2 +Carex zekogensis,32.1028,97.0419 +Cladium mariscus,25.39996,112.948819 +Courtoisina cyperoides,25.651389,98.87 +Cyperus amuricus,37.528687,121.433731 +Cyperus babakan,19.73,110 +Cyperus cephalotes,38.95,75.17 +Cyperus compactus,18.249731,109.507052 +Cyperus compressus,29.8,106.39 +Cyperus cuspidatus,29.65,91.12 +Cyperus cyperinus,22.54,114.05 +Cyperus cyperoides,29.33,102.58 +Cyperus diffusus,23.519195,110.462487 +Cyperus haspan,24.983333,112.833333 +Cyperus imbricatus,40.64,116.58 +Cyperus iria,29.78,118.18 +Cyperus laxus,18.62,109.7 +Cyperus microiria,37.076213,118.062424 +Cyperus niveus,28.54,102.17 +Cyperus nutans,25.22845,113.217309 +Cyperus pilosus,25.79,114.53 +Cyperus rotundus,22.605238,114.03208 +Cyperus sikkimensis,35.86,104.2 +Cyperus squarrosus,29.67,94.37 +Cyperus tenuispica,35.86,104.2 +Cyperus thomsonii,35.86,104.2 +Eleocharis congesta,26.72,117.47 +Eleocharis dulcis,24.773759,110.495339 +Eleocharis ovata,29.32,95.33 +Eleocharis palustris,47.67,124.51 +Eleocharis quinqueflora,35.02,79.15 +Eleocharis tetraquetra,41.832,126.945 +Eleocharis uniglumis,46.48,122.88 +Eleocharis valleculosa,40.21,116.17 +Eleocharis valleculosa var. setosa,40.21,116.17 +Eleocharis wichurae,40.02,119.41 +Erioscirpus comosus,27.7719,101.224 +Fimbristylis aestivalis,22.54,114.05 +Fimbristylis autumnalis,35.47,113.8 +Fimbristylis bisumbellata,22.54,114.05 +Fimbristylis complanata,26.75,100 +Fimbristylis complanata var. exaltata,28.67,97.47 +Fimbristylis dichotoma,29.801148,121.559982 +Fimbristylis falcata,29.33,102.58 +Fimbristylis littoralis,30.508565,118.788677 +Fimbristylis ovata,23.127041,113.341527 +Fimbristylis quinquangularis,26.72,117.47 +Fimbristylis schoenoides,29.61,115.99 +Fimbristylis squarrosa,39.62,119.05 +Fimbristylis stolonifera,26.56023,100.17643 +Fimbristylis tenera,30.508565,118.788677 +Fuirena umbellata,24.186045,113.415062 +Hypolytrum nemorum,22.677251,114.423611 +Isolepis setacea,33.22,107.55 +Kyllinga brevifolia,35.86,104.2 +Kyllinga nemoralis,18.252625,109.511923 +Kyllinga polyphylla,28.65,102.52 +Lipocarpha chinensis,35.86,104.2 +Mapania arunachalensis,22.25257,111.721548 +Mapania palustris,22.25257,111.721548 +Pycreus delavayi,26.901731,98.869207 +Pycreus diaphanus,43.916,127.666 +Pycreus flavidus,41.451,127.92 +Pycreus sanguinolentus,33.32,105.6 +Pycreus sulcinux,35.86,104.2 +Rhynchospora corymbosa,23.127041,113.341527 +Rhynchospora rubra,26.635184,118.17814 +Rhynchospora rugosa,24.35,116.7 +Schoenoplectiella juncoides,23.490268,113.2363 +Schoenoplectiella mucronata,31.649255,119.07017 +Schoenoplectus tabernaemontani,29.71,91.43 +Schoenoplectus triqueter,30.6,120.06 +Scirpus lushanensis,35.86,104.2 +Scirpus rosthornii,35.86,104.2 +Scirpus ternatanus,25.79,114.53 +Scirpus wichurae,41.954,126.54 +Scleria levis,31.52,120.31 +Scleria parvula,25.12,113.77 +Scleria terrestris,29.8,106.39 +Trichophorum distigmaticum,36.92697,101.685623 +Trichophorum pumilum,35.97,77.05 +脳 Agropogon lutosus,34.71,114.55 +Achnatherum brandisii,37.041667,104.466945 +Achnatherum chingii,32.080278,97.02 +Achnatherum duthiei,30.979541,101.125234 +Achnatherum henryi,30.833333,106.666667 +Achnatherum inebrians,34.658333,100.626944 +Achnatherum jacquemontii,31.60306,100.15361 +Achnatherum sibiricum,42.457,124.007 +Acroceras zizanioides,19.25,110.45 +Agropyron cristatum,49.492897,119.534845 +Agrostis clavata,30.368117,102.81464 +Agrostis gigantea,32.918333,97.3275 +Agrostis griffithiana,29.22,91.77 +Agrostis hookeriana,35.86,104.2 +Agrostis hugoniana,31.8342,96.5433 +Agrostis mackliniae,29.32,95.33 +Agrostis micrantha,32.094444,97.266667 +Agrostis munroana,28.66,97.46 +Agrostis nervosa,30.165,100.55556 +Agrostis sinorupestris,26.876096,100.229945 +Agrostis vinealis,46.036539,131.248856 +Alopecurus aequalis,35.86,104.2 +Ampelocalamus microphyllus,29.32,95.33 +Ampelocalamus patellaris,23.62,102.83 +Andropogon munroi,31.43111,102.06694 +Aniselytron treutleri,26.5,100 +Anthoxanthum flexuosum,27.48,88.9 +Anthoxanthum glabrum,37.299483,121.740871 +Anthoxanthum hookeri,25.04,102.37 +Anthoxanthum nitens,44.609,130.332 +Anthoxanthum potaninii,33.27,104.23 +Anthoxanthum tibeticum,31.712092,88.118532 +Apluda mutica,25.8544,98.8486 +Arctopoa tibetica,37.83,95.33 +Arctopoa tibetica var. aristulata,36.519977,103.891767 +Aristida alpina,29.65,91.12 +Aristida brevissima,28.2592,99.2739 +Aristida scabrescens,29.68,91.13 +Aristida triseta,29.92,92.77 +Aristida tsangpoensis,29.35,90.88 +Arthraxon castratus,25.012526,102.700013 +Arthraxon hispidus,46.25,122.93 +Arthraxon lanceolatus,27.654,111.731 +Arthraxon lancifolius,35.86,104.2 +Arthraxon microphyllus,24.615701,100.709787 +Arthraxon prionodes,39.626134,115.551109 +Arundinella bengalensis,35.86,104.2 +Arundinella hookeri,27.4,102.17 +Arundinella intricata,29,93.17 +Arundinella nepalensis,25.416667,99.166667 +Arundinella yunnanensis,29.65,91.12 +Arundo donax,20.01,110.33 +Avena fatua,25.012526,102.700013 +Avena fatua var. glabrata,32.055645,118.797741 +Avena sativa,37.378333,102.963889 +Axonopus compressus,22.597862,114.031603 +Axonopus fissifolius,23.03,112.45 +Bambusa daporijoeana,35,105 +Bambusa longispiculata,23.55,113.58 +Bambusa mompana,35,105 +Bambusa pallida,35,105 +Bambusa teres,29.32,95.33 +Bambusa tulda,18.252625,109.511923 +Bambusa vulgaris,27.567413,117.266812 +Beckmannia syzigachne,24.9574,102.6393 +Bothriochloa bladhii,36.519977,103.891767 +Bothriochloa bladhii var. punctata,23.36561,103.388085 +Bothriochloa ischaemum,42.6,85.5 +Brachiaria distachya,46.52,89.47 +Brachiaria eruciformis,35.86,104.2 +Brachiaria villosa,29.496119,103.398589 +Brachypodium distachyon,38.073254,104.69114 +Brachypodium pinnatum,43.43,83.25 +Brachypodium pratense,29.63,94.36 +Brachypodium retusum,28.71924,109.438684 +Brachypodium sylvaticum,34.011944,107.154444 +Briza media,28.58,105.7 +Bromus erectus,28.65,87.12 +Bromus gracillimus,31.712092,88.118532 +Bromus himalaicus,35.86,104.2 +Bromus hordeaceus,43.81,87.6 +Bromus japonicus,43.88333,86.4 +Bromus magnus,32.094444,97.266667 +Bromus mairei,32.094444,97.266667 +Bromus plurinodis,31.763611,96.581389 +Bromus porphyranthos,30.05,101.96 +Bromus pseudoramosus,25.827253,100.575146 +Bromus ramosus,27.48,88.9 +Bromus remotiflorus,28.17041,112.731433 +Bromus sinensis,32.080278,97.02 +Bromus sinensis var. minor,32.77,96.67 +Bromus staintonii,31.21,98.82 +Bromus tectorum,34.588611,100.557778 +Bromus tectorum subsp. lucidus,34.588611,100.557778 +Calamagrostis emodensis,35.86,104.2 +Calamagrostis epigeios,46.169623,90.428703 +Calamagrostis hedinii,28.6398,102.507677 +Calamagrostis hongii,26,103.25 +Calamagrostis pseudophragmites,35.86,104.2 +Capillipedium assimile,25.612608,115.823525 +Capillipedium parviflorum,25.8544,98.8486 +Capillipedium pteropechys,27.7482,101.213 +Catabrosa aquatica,30.47,91.09 +Catabrosa aquatica var. angusta,28.91,89.6 +Catabrosa capusii,31.41,95.59 +Centotheca lappacea,22.52,103.93 +Cephalostachyum latifolium,29.32,95.33 +Cephalostachyum mannii,27.740736,98.66582 +Cephalostachyum mishimianum,27.740736,98.66582 +Cephalostachyum pallidum,29.32,95.33 +Cephalostachyum pergracile,35.86,104.2 +Chimonobambusa armata,26.901731,98.869207 +Chimonobambusa arunachalensis,28.657576,105.106094 +Chimonobambusa callosa,29.32,95.33 +Chimonobambusa jainii,28.657576,105.106094 +Chimonobambusa metuoensis,29.32,95.33 +Chimonobambusa purpurea,28.657576,105.106094 +Chimonocalamus delicatus,29.32,95.33 +Chimonocalamus griffithianus,29.32,95.33 +Chimonocalamus pallens,29.32,95.33 +Chloris virgata,46.25,122.93 +Chrysopogon aciculatus,22.69,112.22 +Chrysopogon fulvus,18.252625,109.511923 +Chrysopogon serrulatus,18.252625,109.511923 +Chrysopogon zizanioides,26.001774,107.854195 +Coix lacryma-jobi,26.466667,111.316667 +Coix lacryma-jobi var. ma-yuen,29.32,95.33 +Coix lacryma-jobi var. stenocarpa,30.863992,103.574551 +Colpodium tibeticum,27.416667,88.8 +Colpodium wallichii,27.129196,100.235283 +Cymbopogon distans,29.65,104.06 +Cymbopogon jwarancusa,31.47,79.8 +Cymbopogon jwarancusa subsp. olivieri,31.47,79.8 +Cymbopogon nardus,31.95,119.17 +Cymbopogon pospischilii,29,93.17 +Cymbopogon tortilis,25.25,110.05 +Cymbopogon tungmaiensis,28.48611,98.911543 +Cynodon dactylon,30.55,121.51 +Cyrtococcum oxyphyllum,18.62,109.7 +Cyrtococcum patens,24.7,117.31 +Cyrtococcum patens var. latifolium,28.88,104.92 +Dactylis glomerata,31.35,109.08 +Dactyloctenium aegyptium,24.9019,98.8847 +Danthonia cachemyriana,26.876096,100.229945 +Danthonia cumminsii,27.48,88.9 +Dendrocalamus giganteus,27.740736,98.66582 +Dendrocalamus hamiltonii,24.72,97.93 +Dendrocalamus hookeri,21.957355,100.452547 +Dendrocalamus sahnii,35.86,104.2 +Dendrocalamus sikkimensis,28.88,104.92 +Dendrocalamus strictus,22.01071,100.799775 +Dendrocalamus tibeticus,35.86,104.2 +Deschampsia cespitosa,34.542778,102.420833 +Deschampsia cespitosa subsp. ivanovae,33.742778,97.125 +Deschampsia koelerioides,34.580833,99.450833 +Deschampsia littoralis,32.075556,97.065278 +Deyeuxia conferta,37.503189,101.760864 +Deyeuxia debilis,27.740736,98.66582 +Deyeuxia flaccida,25.841921,98.857727 +Deyeuxia flavens,32.0803,97.02 +Deyeuxia himalaica,29.32,95.33 +Deyeuxia holciformis,32.0944,97.2667 +Deyeuxia nepalensis,27.740736,98.66582 +Deyeuxia nivicola,24.271311,102.239789 +Deyeuxia nyingchiensis,29.63,94.36 +Deyeuxia pulchella,30.055305,101.96483 +Deyeuxia purpurea,39.36,114.71 +Deyeuxia pyramidalis,28.030833,98.613889 +Deyeuxia rosea,35.86,104.2 +Deyeuxia scabrescens,32.9986,97.2517 +Deyeuxia sichuanensis,32.26,100.97 +Deyeuxia sorengii,29.5833,96.4167 +Deyeuxia tibetica,34.5603,99.5214 +Deyeuxia tibetica var. przevalskyi,34.5603,99.5214 +Deyeuxia zangxiensis,31.39,90 +Digitaria abludens,27.42,101.5 +Digitaria ciliaris,36.128747,120.618243 +Digitaria cruciata,31.82,108.62 +Digitaria ischaemum,41.832,126.945 +Digitaria longiflora,24.7,117.31 +Digitaria sanguinalis,39.863672,115.366789 +Digitaria setigera,31.04,110.34 +Digitaria stricta var. denudata,23.880344,100.092756 +Digitaria violascens,41.483,127.298 +Dinochloa macclellandii,23.12,113.34 +Drepanostachyum ampullare,28.85,85.29 +Drepanostachyum intermedium,28.85,85.29 +Drepanostachyum semiorbiculatum,28.85,85.29 +Duthiea brachypodium,31.39,100.67 +Echinochloa colona,31.8213,103.633 +Echinochloa crus-galli,41.938,126.419 +Echinochloa frumentacea,44.374,126.061 +Echinochloa glabrescens,27.95,107.71 +Echinochloa stagnina,38.073254,104.69114 +Eleusine coracana,35.86,104.2 +Eleusine indica,40.008647,116.387569 +Elymus altissimus,30,99.1 +Elymus anthosachnoides,37.833333,118.283333 +Elymus antiquus,29.23333,91.8 +Elymus aristiglumis,39.879848,114.630747 +Elymus aristiglumis var. hirsutus,39.879848,114.630747 +Elymus aristiglumis var. leianthus,39.879848,114.630747 +Elymus atratus,36.73333,99.76667 +Elymus barystachyus,31.82,98.58 +Elymus breviaristatus,30.004589,99.107741 +Elymus brevipes,32.0756,97.0653 +Elymus burchan-buddae,32.125,102.158333 +Elymus cacuminis,38.073254,104.69114 +Elymus caesifolius,32,90 +Elymus caianus,38.073254,104.69114 +Elymus curtiaristatus,38.073254,104.69114 +Elymus dahuricus,39.822866,116.537359 +Elymus dahuricus var. cylindricus,32.15,97.045 +Elymus durus,38.073254,104.69114 +Elymus elytrigioides,31.62,99.98 +Elymus jacquemontii,28.85,85.29 +Elymus kamoji,27.218447,116.525727 +Elymus nutans,35.97,77.05 +Elymus pulanensis,28.85,85.29 +Elymus retroflexus,29.33,89.97 +Elymus schrenkianus,24.466667,113.833333 +Elymus shouliangiae,38.073254,104.69114 +Elymus sibiricus,30.031529,101.014427 +Elymus sinicus,30.543,102.524 +Elymus strictus,37.833333,118.283333 +Elymus tangutorum,32.0856,97.0119 +Elymus tenuispicus,31.140833,97.171944 +Elymus tibeticus,27.37,99.95 +Elymus tschimganicus,44.75,81.15 +Elymus yangiae,29.885278,93.246111 +Elytrigia intermedia,38.78,101.08 +Elytrigia repens,43.81,87.6 +Enneapogon desvauxii,46.08,122.13 +Eragrostis cilianensis,36.245827,120.29478 +Eragrostis elongata,22.65,108.31 +Eragrostis ferruginea,0,0 +Eragrostis minor,41.792,123.432 +Eragrostis nigra,31.84583,101.94556 +Eragrostis nutans,25.25,110.05 +Eragrostis pilosa,43.85,127.637 +Eragrostis tenella,23.67,117.42 +Eragrostis unioloides,23.240803,114.005797 +Eulalia mollis,29.85,95.76 +Eulalia quadrinervis,27.69,98.3008 +Eulalia yunnanensis,26.17,103.25 +Fargesia daminiu,31.151088,103.16254 +Fargesia extensa,31.151088,103.16254 +Fargesia farcta,31.151088,103.16254 +Fargesia glabrifolia,31.151088,103.16254 +Fargesia grossa,28,91.95 +Fargesia macclureana,29.63,94.36 +Fargesia melanostachys,35.86,104.2 +Fargesia purpurea,31.151088,103.16254 +Fargesia zayuensis,31.151088,103.16254 +Festuca brachyphylla,38.9,75.2 +Festuca changduensis,32.080278,97.02 +Festuca chayuensis,30.267262,120.110333 +Festuca chumbiensis,28.935103,90.554197 +Festuca coelestis,30.47,91.09 +Festuca fascinata,27.303223,105.288398 +Festuca kashmiriana,31.47,79.8 +Festuca leptopogon,35.86,104.2 +Festuca nitidula,31.712092,88.118532 +Festuca ovina,32.075556,97.065278 +Festuca parvigluma,36.060255,120.360774 +Festuca pratensis,40.02,116.21 +Festuca rubra,41.123176,85.25102 +Festuca rubra subsp. arctica,39.85,114.57 +Festuca rubra subsp. clarkei,28.0803,101.149 +Festuca rubra subsp. villosa,44.32,85.61 +Festuca scabriflora,29.63,94.36 +Festuca stapfii,27.82308,99.706013 +Festuca tibetica,43.79,87.63 +Festuca undata,36.68,101.27 +Festuca valesiaca subsp. pseudovina,44.97,81.03 +Festuca valesiaca subsp. sulcata,47.7,86.85 +Festuca vierhapperi,33.727778,99.350278 +Festuca wallichiana,29.98,101.92 +Garnotia acutigluma,35.86,104.2 +Garnotia emodi,28.85,85.29 +Garnotia tenella,24.615701,100.709787 +Gigantochloa macrostachya,21.916666,101.25 +Glyceria tonglensis,35.86,104.2 +Hackelochloa granularis,24.983333,112.833333 +Helictotrichon delavayi,35.86,104.2 +Helictotrichon junghuhnii,25.445997,98.710609 +Helictotrichon polyneurum,27.48,88.9 +Helictotrichon schmidii,28.01,102.84 +Helictotrichon tibeticum,33.3564,99.5619 +Hemarthria vaginata,41.866,123.666 +Heteropogon contortus,25.9625,98.8261 +Himalayacalamus collaris,28.17,85.98 +Himalayacalamus falconeri,25.25,110.05 +Hordeum agriocrithon,40.02,116.21 +Hordeum brevisubulatum,46.638625,124.852127 +Hordeum distichon,41.257932,115.73431 +Hordeum spontaneum var. proskowetzii,35.2,113.8 +Hordeum vulgare,34.28,108.07 +Hordeum vulgare var. coeleste,28.511944,98.772778 +Hordeum vulgare var. trifurcatum,30.57,114.3 +Hygroryza aristata,24.75,118.08 +Hystrix duthiei,30.368117,102.81464 +Ichnanthus pallens,23.311469,114.008339 +Ichnanthus pallens var. major,23.311469,114.008339 +Imperata cylindrica,34.52,108.84 +Imperata cylindrica var. major,29.61,115.99 +Isachne albens,26.43,110.85 +Isachne clarkei,24.9222,98.6328 +Isachne globosa,24.983333,112.833333 +Isachne himalaica,28.66,97.46 +Isachne nipponensis,28.94,117.57 +Isachne scabrosa,29.32,95.33 +Isachne sikkimensis,24.8285,98.7678 +Isachne sylvestris,23.65,113.67 +Ischaemum barbatum,23.239103,113.333606 +Ischaemum rugosum,26.72,117.47 +Kengyilia hirsuta,38.78,101.08 +Kengyilia kokonorica,28.85,85.29 +Kengyilia thoroldiana,35.2683,98.9975 +Kengyilia thoroldiana var. laxiuscula,39.02,88.17 +Koeleria litvinowii,32.1431,97.2706 +Koeleria litvinowii subsp. argentea,30,99 +Koeleria macrantha,44.49,130.74 +Leersia hexandra,24.02,117.72 +Leymus mundus,31.48,79.8 +Leymus ramosus,30.29234,102.872639 +Leymus secalinus,40.93167,108.54389 +Leymus secalinus var. tenuis,31.48,79.8 +Littledalea przevalskyi,29.29,87.23 +Littledalea racemosa,33.1272,96.7181 +Littledalea tibetica,35.2617,98.9825 +Lolium perenne,28.25,113.07 +Melica onoei,36.252064,117.100784 +Melica persica subsp. canescens,31.47,79.8 +Melica przewalskyi,34.648889,100.610556 +Melica scabrosa,33.52,107.99 +Melica schuetzeana,31.712092,88.118532 +Melica secunda,31.13,97.18 +Melica taylorii,31.712092,88.118532 +Melica virgata,39,112.3 +Melocalamus elevatissimus,22.391288,106.817838 +Microstegium ciliatum,21.475834,101.56752 +Microstegium fasciculatum,25.12,113.77 +Microstegium nudum,25.012526,102.700013 +Microstegium vimineum,41.832,126.945 +Milium effusum,26.453601,99.416689 +Miscanthus nepalensis,29.22787,102.359458 +Miscanthus nudipes,30.066708,102.758313 +Muhlenbergia himalayensis,26.56023,100.17643 +Muhlenbergia huegelii,43.896,126.921 +Muhlenbergia japonica,43.85,127.637 +Neomicrocalamus microphyllus,29.32,95.33 +Neomicrocalamus prainii,35.86,104.2 +Neotrinia splendens,41.35,111.17 +Neyraudia arundinacea,42.6,85.5 +Neyraudia montana,31.370137,109.629918 +Neyraudia reynaudiana,31.8213,103.633 +Oplismenus compositus,35.86,104.2 +Oplismenus compositus var. formosanus,22.01071,100.799775 +Oplismenus compositus var. owatarii,23.763342,98.82524 +Orinus intermedius,29.540889,98.250917 +Orinus thoroldii,30.166667,97.333333 +Orthoraphium roylei,25.9739,98.685 +Oryza sativa,28.317217,112.90332 +Panicum atrosanguineum,34.6333,99.7333 +Panicum auritum,21.53,109.32 +Panicum brevifolium,25.986097,107.673103 +Panicum curviflorum,23.9,106.61 +Panicum dichotomiflorum,40.13,116.65 +Panicum humidorum,28.5117,96.4872 +Panicum incomtum,25.6,110.58 +Panicum khasianum,25.303923,98.774111 +Panicum miliaceum,25.255089,110.050532 +Panicum notatum,24.983333,112.833333 +Panicum sarmentosum,24.18,113.4 +Paspalidium flavidum,24.43,98.58 +Paspalum conjugatum,22.94,115.33 +Paspalum longifolium,26.72,117.47 +Paspalum scrobiculatum,22.448519,107.91155 +Paspalum scrobiculatum var. orbiculare,27.7,103.25 +Pennisetum flaccidum,37.107884,79.929056 +Pennisetum glaucum,40.004171,116.353052 +Pennisetum hohenackeri,41.9875,101.011667 +Pennisetum lanatum,28.85,85.29 +Phaenosperma globosum,35.86,104.2 +Phleum alpinum,35.86,104.2 +Phleum pratense,43.34194,81.81694 +Phragmites australis,46.35,122.93 +Phragmites karka,29.65,104.06 +Phyllostachys mannii,27.6588,98.709396 +Piptatherum aequiglume,25.03,102.67 +Piptatherum gracile,28.5539,98.8024 +Piptatherum grandispiculum,28.53388,98.87666 +Piptatherum hilariae,29.63,94.36 +Piptatherum laterale,28.57,91.44 +Piptatherum munroi,28.53388,98.87666 +Piptatherum tibeticum,32.67,101.11 +Piptatherum tibeticum var. psilolepis,31.13,97.18 +Poa acroleuca,36.519977,103.891767 +Poa albertii,27.82308,99.706013 +Poa albertii subsp. arnoldii,36.519977,103.891767 +Poa albertii subsp. kunlunensis,37.33,100.13 +Poa albertii subsp. lahulensis,29.77,84.03 +Poa albertii subsp. poophagorum,32.3,84.06 +Poa alpina,28.596944,99.867778 +Poa annua,46.45,122.93 +Poa araratica,27.82308,99.706013 +Poa araratica subsp. ianthina,27.82308,99.706013 +Poa araratica subsp. psilolepis,36.519977,103.891767 +Poa asperifolia,36.519977,103.891767 +Poa attenuata,36.519977,103.891767 +Poa attenuata var. dahurica,36.519977,103.891767 +Poa binodis,30.05,101.96 +Poa bomiensis,29.85,95.76 +Poa bulbosa,30.47,91.09 +Poa bulbosa subsp. vivipara,30.98,101.12 +Poa burmanica,35.86,104.2 +Poa calliopsis,36.519977,103.891767 +Poa dzongicola,29.08,92.25 +Poa eleanorae,29.58,95 +Poa faberi,36.519977,103.891767 +Poa gammieana,28.85,85.29 +Poa glauca,35.157691,108.861296 +Poa grandis,36.519977,103.891767 +Poa himalayana,35.86,104.2 +Poa hirtiglumis,31.62,99.99 +Poa hirtiglumis var. nimuana,32.83,91.92 +Poa hylobates,28.661276,97.466916 +Poa khasiana,35.86,104.2 +Poa lapponica subsp. acmocalyx,42.34,127.28 +Poa lhasaensis,29.08,92.25 +Poa lipskyi,36.519977,103.891767 +Poa mairei,36.519977,103.891767 +Poa nemoralis,36.519977,103.891767 +Poa nepalensis,25,102.75 +Poa nitidespiculata,27.97,87.22 +Poa nubigena,27.82308,99.706013 +Poa pagophila,29.0728,99.6756 +Poa palustris,48.77,121.82 +Poa perennis,32.080278,97.02 +Poa polycolea,29.1031,99.6319 +Poa polyneuron,38.073254,104.69114 +Poa pratensis,36.519977,103.891767 +Poa pratensis subsp. alpigena,36.519977,103.891767 +Poa pratensis subsp. angustifolia,43.25556,81.19306 +Poa pratensis subsp. pruinosa,36.519977,103.891767 +Poa pratensis subsp. staintonii,36.519977,103.891767 +Poa pseudamoena,38.073254,104.69114 +Poa rajbhandarii,38.073254,104.69114 +Poa sikkimensis,35.86,104.2 +Poa supina,43.81,87.6 +Poa szechuensis,27.482,99.8812 +Poa versicolor,36.519977,103.891767 +Poa versicolor subsp. ochotensis,36.519977,103.891767 +Poa versicolor subsp. orinosa,39.879848,114.630747 +Poa versicolor subsp. varia,35.69,105.05 +Poa wardiana,28.661276,97.466916 +Pogonatherum crinitum,24.6471,97.7834 +Pogonatherum paniceum,35.86,104.2 +Polypogon fugax,32.06,108.04 +Polypogon monspeliensis,43.25,94.69 +Pseudechinolaena polystachya,23.9,106.61 +Pseudostachyum polymorphum,29.32,95.33 +Ptilagrostis concinna,27.82308,99.706013 +Ptilagrostis dichotoma,27.82308,99.706013 +Ptilagrostis luquensis,34.166667,102.416667 +Ptilagrostis mongholica,27.82308,99.706013 +Ptilagrostis pelliotii,46.17,85.75 +Ptilagrostis roshevitsiana,37.38,101.62 +Ptilagrostis yadongensis,29.936,90.813 +Puccinellia altaica,30.47,91.09 +Puccinellia chinampoensis,38.78,101.08 +Puccinellia diffusa,35.58,99.98 +Puccinellia dolicholepis,34.92,98.18 +Puccinellia himalaica,34.633,98.217 +Puccinellia humilis,40.58,75.42 +Puccinellia kashmiriana,33.38,79.73 +Puccinellia kuenlunica,41.33,86.26 +Puccinellia leiolepis,36.8667,104.78333 +Puccinellia minuta,28.85,90.45 +Puccinellia multiflora,33.38,79.73 +Puccinellia nudiflora,32.3,84.06 +Puccinellia pamirica,32.3,84.06 +Puccinellia pauciramea,31.39,90 +Puccinellia phryganodes,34.92,98.18 +Puccinellia roborovskyi,32.49,80.09 +Puccinellia shuanghuensis,34.92,98.18 +Puccinellia stapfiana,32.3,84.06 +Puccinellia strictura,25.950001,104.470001 +Puccinellia subspicata,29.77,84.03 +Puccinellia thomsonii,29.65,91.12 +Puccinellia tianschanica,0,0 +Puccinellia vachanica,0,0 +Saccharum arundinaceum,0,0 +Saccharum longesetosum,0,0 +Saccharum officinarum,30.559627,114.322539 +Saccharum procerum,29.32,95.33 +Saccharum rufipilum,26.534082,100.42293 +Saccharum sinense,35.86,104.2 +Saccharum spontaneum,22.01071,100.799775 +Saccharum wardii,27.099444,98.872222 +Sacciolepis indica,29.32,95.33 +Sacciolepis interrupta,22.608826,114.027588 +Sacciolepis myosuroides,35.86,104.2 +Schizachyrium brevifolium,24.7,117.31 +Schizachyrium delavayi,26.5,99.983333 +Schizachyrium fragile,26.33,115.36 +Schizachyrium sanguineum,29.65,91.12 +Schizostachyum arunachalensis,23.12,113.34 +Setaria forbesiana,27.905,98.6594 +Setaria italica,29.496119,103.398589 +Setaria palmifolia,35.86,104.2 +Setaria plicata,21.957355,100.452547 +Setaria pumila,46.45,122.93 +Setaria viridis,39.92,116.42 +Setaria yunnanensis,27.7703,98.6542 +Sibirotrisetum bifidum,28.48611,98.911543 +Sibirotrisetum scitulum,29.08,92.25 +Sibirotrisetum sibiricum,37.83,111.33 +Sinochasea trigyna,30.14136,101.865706 +Sorghum bicolor,38.414257,77.246246 +Spodiopogon dubius,36.351,118.037 +Spodiopogon tainanensis,29.716667,98.866667 +Sporobolus diandrus,25.43,119 +Sporobolus fertilis,22.525953,114.053475 +Stapletonia arunachalensis,25.104264,107.509707 +Stapletonia rigoensis,0,0 +Stapletonia seshagiriana,0,0 +Stephanachne monandra,30.93,88.7 +Stipa aliena,31.17,96.17 +Stipa baicalensis,41.123176,85.25102 +Stipa baxoiensis,30.13,97.277 +Stipa bhutanica,27.928607,101.279419 +Stipa breviflora,41.84,110.23 +Stipa bungeana,34.683333,100.683333 +Stipa capillacea,29.32,86.97 +Stipa capillacea var. parviflora,32.094444,97.266667 +Stipa caucasica,42.6,85.5 +Stipa caucasica subsp. glareosa,43.61,111.99 +Stipa dickorei,31.166667,96.166667 +Stipa orientalis,31.44,92.02 +Stipa penicillata,37.61,101.32 +Stipa przewalskyi,36.519977,103.891767 +Stipa purpurea,30.72,81.36 +Stipa regeliana,31.883333,96.533333 +Stipa richteriana,30.05,96.91 +Stipa roborowskyi,30.48,81.17 +Stipa sareptana var. krylovii,38.259716,99.628454 +Stipa subsessiliflora,27.82308,99.706013 +Stipa tianschanica var. gobica,36.63,101.2 +Stipa turkestanica,44.433887,84.918534 +Stipa turkestanica var. diyaensis,44.433887,84.918534 +Stipa zhadaensis,38.073254,104.69114 +Tenaxia cumminsii,27.48,88.9 +Thamnocalamus arunachalensis,29.32,95.33 +Thamnocalamus spathiflorus,27.48,88.9 +Thamnocalamus spathiflorus var. crassinodus,27.48,88.9 +Thamnocalamus unispiculatus,29.32,95.33 +Themeda anathera,25.012526,102.700013 +Themeda caudata,25.6,115.78 +Themeda gigantea,20.44,110.2 +Themeda hookeri,31.21,98.82 +Themeda minor,28.66,97.46 +Themeda triandra,25.2583,98.8456 +Themeda villosa,24.75,103.167 +Thysanolaena latifolia,21.68,101.31 +Tragus berteronianus,38.86,115.47 +Trikeraia hookeri,0,0 +Trikeraia hookeri var. ramosa,32.2917,96.5333 +Trikeraia pappiformis,31.084,103.267 +Tripogon bromoides,0,0 +Tripogon chinensis,36.214544,120.596158 +Tripogon filiformis,24.7167,103.417 +Tripogon humilis,28.13,99.43 +Tripogon liouae,0,0 +Tripogon purpurascens,30.05,96.91 +Tripogon rupestris,26.25,103.33 +Tripogon trifidus,27.740736,98.66582 +Tripogon wardii,31.3025,97.1597 +Tripogon yunnanensis,28.932073,99.79929 +Trisetum clarkei,0,0 +Trisetum micans,28.93,92.22 +Trisetum spicatum,29.07,93.93 +Trisetum spicatum subsp. alaskanum,30.99903,102.364372 +Trisetum spicatum subsp. mongolicum,29.68,89.09 +Trisetum spicatum subsp. tibeticum,31.45,85.15 +Trisetum spicatum subsp. virescens,43.22,81.83 +Triticum aestivum,0,0 +Vulpia myuros,30.57,114.3 +Yushania arunachaleana,35.86,104.2 +Yushania longispiculatus,24.531,118.37 +Yushania xizangensis,35.86,104.2 +Yushania yadongensis,35.86,104.2 +Zea mays,18.745108,109.17663 +Ceratophyllum demersum,35.86,104.2 +Euptelea pleiosperma,30.08,102.05 +Argemone mexicana,30.57,114.3 +Corydalis adiantifolia,36.45,76.97 +Corydalis adunca,32.918333,97.3275 +Corydalis anaginova,31.712092,88.118532 +Corydalis arcuata,38.073254,104.69114 +Corydalis atuntsuensis,29.7108,98.0025 +Corydalis auriculata,31.712092,88.118532 +Corydalis benecincta,27.3769,100.06 +Corydalis bimaculata,28.35138,98.78611 +Corydalis brachyceras,38.073254,104.69114 +Corydalis brevirostrata,32.995,97.2483 +Corydalis bulbifera,29.7,98 +Corydalis calcicola,28.5858,99.8372 +Corydalis calycosa,30.36,102.81 +Corydalis capnoides,46.52,89.47 +Corydalis cashmeriana,31.712092,88.118532 +Corydalis cashmeriana subsp. longicalcarata,28.685449,103.676251 +Corydalis casimiriana subsp. brachycarpa,28.3,90.85 +Corydalis cavei,28.17,85.98 +Corydalis chaerophylla,38.073254,104.69114 +Corydalis chamdoensis,31.13,97.18 +Corydalis changuensis,29.63,94.36 +Corydalis cheilosticta,34.648333,100.608889 +Corydalis chrysosphaera,30.47,91.09 +Corydalis conspersa,32.573889,97.210556 +Corydalis cornuta,28.85,85.3 +Corydalis corymbosa,28.5733,99.8117 +Corydalis crispa,31.712092,88.118532 +Corydalis crispa subsp. laeviangula,28.85,85.3 +Corydalis curviflora,32.883056,96.685 +Corydalis curviflora subsp. rosthornii,29.7336,94.7264 +Corydalis dasyptera,34.6489,100.611 +Corydalis davidii,28.6819,101.58 +Corydalis delicatula,29.046341,93.074702 +Corydalis delphinioides,35.86,104.2 +Corydalis densispica,35.86,104.2 +Corydalis diffusa,38.073254,104.69114 +Corydalis dolichocentra,28.8164,99.2158 +Corydalis dorjii,29.6823,89.0992 +Corydalis drepanantha,31.712092,88.118532 +Corydalis dubia,31.712092,88.118532 +Corydalis ecristata,35.86,104.2 +Corydalis elegans,38.073254,104.69114 +Corydalis eugeniae,30.031529,101.014427 +Corydalis filisecta,29.87,95.77 +Corydalis flaccida,35.86,104.2 +Corydalis franchetiana,27.448837,99.823051 +Corydalis geraniifolia,31.49,98.21 +Corydalis glaucissima,38.073254,104.69114 +Corydalis glycyphyllos,30.05,101.96 +Corydalis govaniana,28.416667,97.916667 +Corydalis gracillima,35.86,104.2 +Corydalis gyrophylla,38.073254,104.69114 +Corydalis hamata,28.37,99.02 +Corydalis hemidicentra,28.48611,98.911543 +Corydalis hendersonii,42.6,85.5 +Corydalis hendersonii var. alto-cristata,42.6,85.5 +Corydalis hepaticifolia,28.51833,98.94777 +Corydalis hookeri,29.37,91.53 +Corydalis imbricata,31.712092,88.118532 +Corydalis impatiens,32.143056,97.270556 +Corydalis inopinata,28.43,90.58 +Corydalis iochanensis,29.000343,101.507299 +Corydalis jigmei,29,93.98 +Corydalis juncea,28.53,85.27 +Corydalis kingdonis,31.712092,88.118532 +Corydalis kingii,29.68,89.09 +Corydalis kokiana,29.1031,99.6319 +Corydalis kuruchuensis,28.3,90.85 +Corydalis laelia,27.48,88.9 +Corydalis lasiocarpa,31.712092,88.118532 +Corydalis latiflora,28.55,85.3 +Corydalis latiloba var. tibetica,31.5,98.22 +Corydalis laucheana,30.05389,101.95667 +Corydalis leptocarpa,35.86,104.2 +Corydalis lhasaensis,29.73,90.98 +Corydalis lhorongensis,31.0767,96.9447 +Corydalis linarioides,31.87,99.12 +Corydalis linearis,30.36,102.81 +Corydalis livida,34.716667,99.686944 +Corydalis longibracteata,28.262715,103.571742 +Corydalis longipes,29.22,94.22 +Corydalis lowndesii,28.933333,85.4 +Corydalis ludlowii,31.712092,88.118532 +Corydalis lupinoides,29.215697,94.213461 +Corydalis mayae,28.233333,98.666667 +Corydalis meifolia,28.17,85.98 +Corydalis melanochlora,28.479722,98.948611 +Corydalis meyori,38.073254,104.69114 +Corydalis milarepa,38.073254,104.69114 +Corydalis minutiflora,28.93,99.79 +Corydalis moorcroftiana,31.47,79.8 +Corydalis mucronifera,35.2683,98.9975 +Corydalis nana,30.13,81.33 +Corydalis nemoralis,28.661276,97.466916 +Corydalis nigro-apiculata,31.80612,98.580912 +Corydalis nubicola,29.7108,98.0025 +Corydalis oligosperma,28.661276,97.466916 +Corydalis ophiocarpa,35.86,104.2 +Corydalis oreocoma,31.712092,88.118532 +Corydalis oxypetala subsp. balfouriana,30.055305,101.96483 +Corydalis pachycentra,29.1339,100.043 +Corydalis pachypoda,30.1589,97.3156 +Corydalis papillosa,31.62,99.99 +Corydalis petrodoxa,31.712092,88.118532 +Corydalis petrophila,35.86,104.2 +Corydalis polygalina,28.65,87.12 +Corydalis polyphylla,35.86,104.2 +Corydalis porphyrantha,35.86,104.2 +Corydalis prattii,36.519977,103.891767 +Corydalis pseudoadoxa,35.86,104.2 +Corydalis pseudobalfouriana,28.95,117.58 +Corydalis pseudocristata,29.496119,103.398589 +Corydalis pseudodrakeana,31.712092,88.118532 +Corydalis pseudofilisecta,30.17,101.78 +Corydalis pseudoimpatiens,34.43808,104.036837 +Corydalis pseudojuncea,28.17,85.98 +Corydalis pseudolongipes,27.48,88.9 +Corydalis pseudosibirica,31.1228,97.0233 +Corydalis pterygopetala,35.86,104.2 +Corydalis pubicaulis,29.63,94.36 +Corydalis pygmaea,29,93.98 +Corydalis quinquefoliolata,31.712092,88.118532 +Corydalis regia,31.712092,88.118532 +Corydalis retingensis,31.712092,88.118532 +Corydalis rostellata,32.15,97.266667 +Corydalis rubrisepala subsp. zhuangiana,29.5,94.15 +Corydalis scaberula,28.397131,99.444946 +Corydalis sherriffii,31.712092,88.118532 +Corydalis smithiana,36.519977,103.891767 +Corydalis spathulata,28.42,90.62 +Corydalis stenophylla,27.82308,99.706013 +Corydalis stracheyi,28.51833,98.94777 +Corydalis stracheyi var. ecristata,35.86,104.2 +Corydalis straminea,34.648889,100.610556 +Corydalis stramineoides,38.073254,104.69114 +Corydalis stricta,35.77,94.33 +Corydalis tangutica subsp. bullata,33.45,91.23 +Corydalis temolana,28.48611,98.911543 +Corydalis tenuipes,31.712092,88.118532 +Corydalis thyrsiflora,29.14,92.59 +Corydalis tibetica,31.712092,88.118532 +Corydalis tibetoalpina,38.073254,104.69114 +Corydalis tibeto-oppositifolia,28,91.95 +Corydalis tongolensis,29.1031,99.6319 +Corydalis trachycarpa,35.5,99.8 +Corydalis trifoliata,26.901731,98.869207 +Corydalis tsangensis,31.712092,88.118532 +Corydalis tsayulensis,28.93,99.79 +Corydalis uranoscopa,38.073254,104.69114 +Corydalis verna,31.8,98.58 +Corydalis wuzhengyiana,30.05,96.92 +Corydalis yunnanensis,35.86,104.2 +Corydalis zadoiensis,29.7108,98.0025 +Dactylicapnos arunachalensis,27.6306,98.6594 +Dactylicapnos grandifoliolata,29.34599,95.265914 +Dactylicapnos lichiangensis,27.6306,98.6594 +Dactylicapnos macrocapnos,27.6306,98.6594 +Dactylicapnos roylei,35.86,104.2 +Dactylicapnos scandens,24.8308,98.7678 +Dactylicapnos torulosa,25.46,105.28 +Dicranostigma lactucoides,28.608608,85.260186 +Dicranostigma leptopodum,29.2236,90.6319 +Dicranostigma platycarpum,27.82308,99.706013 +Eschscholzia californica,39.95,116.3 +Fumaria indica,43.05,80.99 +Fumaria vaillantii,44.31,86.31 +Hypecoum erectum,37.45,110.73 +Hypecoum leptocarpum,27.82308,99.706013 +Hypecoum parviflorum,44.32,85.61 +Hypecoum zhukanum,26.876096,100.229945 +Meconopsis 脳 kongboensis,28.7433,101.681 +Meconopsis argemonantha,31.712092,88.118532 +Meconopsis autumnalis,27.987222,98.473333 +Meconopsis baileyi,27.987222,98.473333 +Meconopsis bella,27.987222,98.473333 +Meconopsis dhwojii,30.991022,101.266139 +Meconopsis discigera,28.65,87.12 +Meconopsis elongata,27.987222,98.473333 +Meconopsis florindae,30.0058,93.9231 +Meconopsis gakyidiana,27.987222,98.473333 +Meconopsis gracilipes,28.17,85.98 +Meconopsis grandis,28.36,87.76 +Meconopsis horridula,27.79323,99.58532 +Meconopsis horridula subsp. drukyulensis,27.79323,99.58532 +Meconopsis impedita,28.573627,99.818382 +Meconopsis lancifolia,29,93.98 +Meconopsis lhasaensis,29.761007,91.162361 +Meconopsis lyrata,28.85,85.29 +Meconopsis merakensis,30.991022,101.266139 +Meconopsis paniculata,27.98,87.23 +Meconopsis pinnatifolia,28.85,85.3 +Meconopsis polygonoides,28.85,85.3 +Meconopsis prainiana,29.6111,94.6517 +Meconopsis prattii,29.039479,98.752273 +Meconopsis primulina,23.63,111.86 +Meconopsis pseudohorridula,31.48,103.58 +Meconopsis pseudointegrifolia,27.791571,99.58181 +Meconopsis pseudovenusta,28.397196,99.444847 +Meconopsis quintuplinervia,35.0203,100.829 +Meconopsis racemosa,27.930853,99.615471 +Meconopsis rudis,31.13,96.9 +Meconopsis sherriffii,31.712092,88.118532 +Meconopsis simplicifolia,27.98,87.23 +Meconopsis simplicifolia subsp. grandiflora,27.98,87.23 +Meconopsis sinuata,29.58,95 +Meconopsis smithiana,35.86,104.2 +Meconopsis speciosa,35.86,104.2 +Meconopsis sulphurea,27.603202,99.897046 +Meconopsis superba,30.991022,101.266139 +Meconopsis tibetica,27.129292,100.235176 +Meconopsis torquata,29.766667,90.783333 +Meconopsis violacea,28.85,85.3 +Meconopsis zangnanensis,28,91.95 +Papaver rhoeas,36.07,103.75 +Papaver somniferum,29.85,95.76 +Circaeaster agrestis,30.02312,94.233947 +Akebia apetala,32.6939,105.2764 +Decaisnea insignis,29.5,110.333333 +Holboellia angustifolia,35.86,104.2 +Holboellia angustifolia subsp. obtusa,25.827253,100.575146 +Holboellia chapaensis,24.615701,100.709787 +Holboellia latifolia,35.86,104.2 +Holboellia medogensis,29.326875,95.328655 +Parvatia brunoniana,23.437468,104.672252 +Stauntonia libera,28.433333,110.4 +Aspidocarya uvifera,21.957355,100.452547 +Cissampelos convolvulacea,26.133333,101.8 +Cissampelos pareira,25,107.04 +Cissampelos pareira var. hirsuta,23.146851,99.246047 +Cocculus laurifolius,26.466667,111.316667 +Cocculus orbiculatus,35.060556,117.436944 +Cyclea bicristata,35.86,104.2 +Cyclea peltata,35.86,104.2 +Diploclisia glaucescens,20.44,110.2 +Haematocarpus validus,37.272096,121.731381 +Hypserpa nitida,24.02,117.72 +Limacia oblonga,25.4036,98.7178 +Parabaena sagittata,29.32,95.33 +Pericampylus glaucus,35.86,104.2 +Pycnarrhena pleniflora,18.252625,109.511923 +Sinomenium acutum,27.240198,114.113564 +Stephania brevipedunculata,28.17,85.98 +Stephania cephalantha,30.19,119.36 +Stephania delavayi,35.86,104.2 +Stephania elegans,35.86,104.2 +Stephania glabra,28.85,85.29 +Stephania glandulifera,28.17,85.98 +Stephania gracilenta,28.17,85.98 +Stephania japonica,24.983333,112.833333 +Stephania japonica var. discolor,26.752972,98.888885 +Stephania japonica var. timoriensis,25.016809,98.695801 +Stephania subpeltata,29.85,95.76 +Tinomiscium petiolare,22.46,107.83 +Tinospora cordifolia,25.25,110.05 +Tinospora crispa,22.391288,106.817838 +Tinospora sagittata,25.25,110.05 +Tinospora sinensis,22.696199,113.938254 +Berberis aggregata,29.1031,99.6319 +Berberis agricola,24.580446,99.92854 +Berberis angulosa,28.08,87.25 +Berberis approximata,28.8675,99.2458 +Berberis aristata,28.85,85.29 +Berberis asiatica,28.85,85.29 +Berberis atrocarpa,28.07,109.56 +Berberis atroviridiana,38.073254,104.69114 +Berberis basumchuensis,29.890556,93.656389 +Berberis baxoiensis,29.481944,96.649722 +Berberis buchananii,31.712092,88.118532 +Berberis calliantha,35.86,104.2 +Berberis campylotropa,30.055305,101.96483 +Berberis chitria,28.17,85.98 +Berberis chrysophaera,38.073254,104.69114 +Berberis concinna,32,90 +Berberis cornuta,38.073254,104.69114 +Berberis dasyclada,24.615701,100.709787 +Berberis delavayi,26.876096,100.229945 +Berberis dictyoneura,30.979541,101.125234 +Berberis dictyophylla,27.475833,99.884167 +Berberis dictyophylla var. epruinosa,30.37,91.47 +Berberis erythroclada,28.8164,99.2158 +Berberis everestiana,29.968,94.254 +Berberis franchetiana,29.5652,94.5428 +Berberis francisci-ferdinandi,31.6467,98.3906 +Berberis gagnepainii,33.392394,104.926525 +Berberis gilungensis,31.5072,97.3344 +Berberis griffithiana,28.661276,97.466916 +Berberis griffithiana var. pallida,31.712092,88.118532 +Berberis gyalaica,29.63,94.36 +Berberis hemsleyana,31.712092,88.118532 +Berberis hobsonii,28,91.95 +Berberis hookeri,31.712092,88.118532 +Berberis humido-umbrosa,27.928607,101.279419 +Berberis hypericifolia,29.135556,100.1525 +Berberis ignorata,39.716667,121.75 +Berberis insignis,31.82,108.62 +Berberis insignis subsp. incrassata,24.7,101.63 +Berberis jamesiana,36.519977,103.891767 +Berberis johannis,28.67,97.47 +Berberis kartanica,28.85,85.29 +Berberis kongboensis,28.7433,101.681 +Berberis lecomtei,30.055305,101.96483 +Berberis lhunzensis,38.073254,104.69114 +Berberis lhunzhubensis,31.2869,97.9942 +Berberis longispina,28.36,87.76 +Berberis macrosepala,28.696,93.326 +Berberis markamensis,29.690001,98.599998 +Berberis medogensis,29.326875,95.328655 +Berberis mekongensis,32.2989,100.026 +Berberis minutiflora,26.876096,100.229945 +Berberis muliensis,31.8131,99.7178 +Berberis muliensis var. atuntzeana,28.389722,98.7925 +Berberis multicaulis,28.67,87.12 +Berberis multiserrata,30.1711,97.3336 +Berberis nujiangensis,27.6978,98.2908 +Berberis nullinervis,29.68,89.1 +Berberis nutanticarpa,27.177166,99.28717 +Berberis nyingchiensis,30.0194,95.0014 +Berberis obovatifolia,18.800278,110.396667 +Berberis orthobotrys,0,0 +Berberis papillifera,25.8833,100.017 +Berberis parapruinosa,28.17,85.98 +Berberis parisepala,38.073254,104.69114 +Berberis platyphylla,28.48611,98.911543 +Berberis pluvisylvatica,38.073254,104.69114 +Berberis polyantha,31.7781,101.324 +Berberis prattii,28.333333,98.666667 +Berberis pruinosa,26.876096,100.229945 +Berberis pulangensis,30.3,81.17 +Berberis qamdoensis,31.488056,98.223333 +Berberis racemulosa,39.71,75.25 +Berberis replicata,35.86,104.2 +Berberis reticulinervis,27.928607,101.279419 +Berberis sabulicola,40.133102,116.320516 +Berberis sherriffii,31.712092,88.118532 +Berberis sikkimensis,28.85,85.29 +Berberis silva-taroucana,29.496119,103.398589 +Berberis taronensis,35.86,104.2 +Berberis temolaica,29.62,94.68 +Berberis thunbergii,30.353794,119.436458 +Berberis tischleri,29.2739,98.6728 +Berberis trichiata,29.68,98.6 +Berberis tsangpoensis,31.68115,103.853481 +Berberis tsarica,33.38,79.73 +Berberis tsarongensis,25.8667,100.033 +Berberis ulicina,42.6,85.5 +Berberis umbratica,29.6719,94.719 +Berberis vinifera,28.17,85.98 +Berberis virescens,34.6833,100.683 +Berberis wallichiana,36.519977,103.891767 +Berberis wilsoniae,24.976725,101.487417 +Berberis xanthophlaea,31.712092,88.118532 +Berberis yunnanensis,35.86,104.2 +Berberis zayulana,31.712092,88.118532 +Caulophyllum robustum,43.76,128.456 +Dysosma aurantiocaulis,35.86,104.2 +Dysosma pleiantha,30.196022,119.366283 +Dysosma tsayuensis,29.8186,94.7172 +Dysosma versipellis,29.93,94.88 +Mahonia bealei,31.893892,104.43684 +Mahonia calamicaulis,29.32,95.33 +Mahonia calamicaulis subsp. kingdon-wardiana,29.32,95.33 +Mahonia conferta,36.519977,103.891767 +Mahonia duclouxiana,25.107246,108.315175 +Mahonia monyulensis,31.712092,88.118532 +Mahonia napaulensis,28.66,97.46 +Mahonia polyodonta,35.86,104.2 +Mahonia taronensis,29.32,95.33 +Sinopodophyllum hexandrum,35.20256,102.521732 +Aconitum abietetorum,27.92,101.27 +Aconitum alpinonepalense,28.17,85.98 +Aconitum assamicum,23.519195,110.462487 +Aconitum basitruncatum,28.385,98.78583 +Aconitum bracteolatum,24.58669,98.689166 +Aconitum brevilimbum,29.25,94.416667 +Aconitum changianum,31.68,103.85 +Aconitum chasmanthum,33.32,105.6 +Aconitum chayuense,28.66,97.46 +Aconitum chiachaense,29.14,92.59 +Aconitum chiachaense var. glandulosum,29.14,92.59 +Aconitum chienningense var. lasiocarpum,30.979541,101.125234 +Aconitum creagromorphum,28,91.95 +Aconitum dolichostachyum,22.79,103.09 +Aconitum elliotii,29.9,94.87 +Aconitum elliotii var. doshongense,29.9,94.87 +Aconitum elliotii var. glabrescens,29.85,95.76 +Aconitum elliotii var. pilopetalum,29.85,95.76 +Aconitum elwesii,28.0408,85.9853 +Aconitum ferox,28.385,98.78583 +Aconitum flavum,36.07,103.75 +Aconitum fletcherianum,35.86,104.2 +Aconitum gammiei,27.391,88.837 +Aconitum haridasanii,28.385,98.78583 +Aconitum hemsleyanum,35.86,104.2 +Aconitum hemsleyanum var. xizangense,31.712092,88.118532 +Aconitum hicksii,28,91.95 +Aconitum hookeri,28.535833,99 +Aconitum iochanicum,35.86,104.2 +Aconitum jilongense,28.85,85.29 +Aconitum kongboense,31.8064,99.4319 +Aconitum kongboense var. villosum,30.16,100.56 +Aconitum laeve,28.385,98.78583 +Aconitum leiwuqiense,31.22,96.6 +Aconitum lethale,28.385,98.78583 +Aconitum liljestrandii,30.0403,101.838 +Aconitum longilobum,27.03,108.19 +Aconitum longipedicellatum,31.712092,88.118532 +Aconitum longipetiolatum,31.712092,88.118532 +Aconitum ludlowii,30.93,88.7 +Aconitum lycoctonifolium,29.32,95.33 +Aconitum milinense,29.22,94.22 +Aconitum nagarum,25.2161,98.4961 +Aconitum nagarum var. acaule,25.584234,100.222124 +Aconitum namlaense,29.88,93.24 +Aconitum naviculare,29.28,92.12 +Aconitum nielamuense,28.17,85.98 +Aconitum novoaxillare,28.385,98.78583 +Aconitum novoluridum,29.63,94.36 +Aconitum nutantiflorum,29.22,94.22 +Aconitum ouvrardianum,35.86,104.2 +Aconitum palmatum,28.3523,85.7833 +Aconitum pendulicarpum,35.86,104.2 +Aconitum pendulum,32.28,91.72 +Aconitum pomeense,29.85,95.76 +Aconitum prominens,31.49,98.21 +Aconitum pseudodivaricatum,29.85,95.76 +Aconitum pseudokongboense,29.88,93.24 +Aconitum pulchellum,28.573056,99.813889 +Aconitum pulchellum var. hispidum,30.05,96.91 +Aconitum refractum,32.0803,97.02 +Aconitum richardsonianum,30.3,91.52 +Aconitum richardsonianum var. pseudosessiliflorum,29.65,91.12 +Aconitum sinoaxillare,28.385,98.78583 +Aconitum spicatum,27.48,88.9 +Aconitum stylosum,28.48611,98.911543 +Aconitum tangense,31.87,99.12 +Aconitum tanguticum,28.385,98.78583 +Aconitum tawangense,28.385,98.78583 +Aconitum tongolense,31.87,99.12 +Aconitum tsariense,31.712092,88.118532 +Actaea asiatica,43.815,127.972 +Actaea frigida,27.928607,101.279419 +Actaea mairei var. foliolosa,30.8503,101.277 +Actaea spicata var. acuminata,30.3,108.93 +Actaea vaginata,38.073254,104.69114 +Adonis aestivalis,25.012526,102.700013 +Adonis aestivalis var. parviflora,43.42,83.26 +Adonis coerulea,33.2975,100.432 +Adonis davidii,28.94,102.1 +Anemone altaica,33.016635,110.064082 +Anemone bomiensis,30.4578,100.302 +Anemone brachystema,38.073254,104.69114 +Anemone cathayensis,40.596762,117.476451 +Anemone coelestina var. linearis,29.1381,99.3342 +Anemone davidii,27.63,98.59 +Anemone delavayi,35.86,104.2 +Anemone demissa,35.86,104.2 +Anemone demissa var. major,27.83472,99.6925 +Anemone demissa var. villosissima,35.86,104.2 +Anemone demissa var. yunnanensis,35.86,104.2 +Anemone elongata,38.073254,104.69114 +Anemone galonglashanica,38.073254,104.69114 +Anemone geum,34.707778,100.244167 +Anemone geum subsp. ovalifolia,34.707778,100.244167 +Anemone griffithii,31.370137,109.629918 +Anemone howellii,35.86,104.2 +Anemone imbricata,34.580833,99.450833 +Anemone milinensis,29.260792,94.033485 +Anemone motuoensis,29.244431,95.175076 +Anemone neorupestris,38.073254,104.69114 +Anemone obtusiloba,28.3523,85.7833 +Anemone polycarpa,35.86,104.2 +Anemone rivularis,36.519977,103.891767 +Anemone rockii,31.95,102.65 +Anemone rupestris,35.86,104.2 +Anemone rupicola,28.401049,99.451385 +Anemone smithiana,28.53,85.27 +Anemone subpinnata,27.928607,101.279419 +Anemone tetrasepala,32.055645,118.797741 +Anemone tibetica,28.647167,98.610556 +Anemone trullifolia,26.876096,100.229945 +Anemone vitifolia,35.86,104.2 +Aquilegia ecalcarata,37.16,102.22 +Aquilegia moorcroftiana,31.47,79.8 +Aquilegia oxysepala var. kansuensis,31.042327,110.340757 +Aquilegia rockii,29.1031,99.6319 +Asteropyrum peltatum,35.86,104.2 +Asteropyrum peltatum subsp. cavaleriei,35.86,104.2 +Batrachium bungei,28.596944,99.867778 +Batrachium bungei var. flavidum,30.29,81.17 +Batrachium eradicatum,49.211941,119.765772 +Batrachium trichophyllum,36.639067,101.207047 +Beesia deltophylla,29.32,95.33 +Calathodes oxycarpa,28.94,102.21 +Calathodes palmata,31.476274,102.063825 +Callianthemum alatavicum,41.717902,82.962012 +Callianthemum pimpinelloides,33.310833,99.181389 +Caltha lobulatifolia,38.073254,104.69114 +Caltha palustris,29.48,94.98 +Caltha palustris var. barthei,29.32,95.33 +Caltha palustris var. himalaica,28.9353,102.212 +Caltha scaposa,34.634722,99.744722 +Caltha sinogracilis,35.86,104.2 +Clematis acuminata,35.86,104.2 +Clematis acutangula,26.57,100.18 +Clematis akebioides,31.83,101.67 +Clematis alternata,28.85,85.29 +Clematis armandii,35.86,104.2 +Clematis barbellata var. obtusa,34.25,117.22 +Clematis brevicaudata,43.7,127.139 +Clematis buchananiana,35.86,104.2 +Clematis cadmia,36.519977,103.891767 +Clematis connata,28.85,85.29 +Clematis connata var. pseudoconnata,27.928607,101.279419 +Clematis delavayi,29.9425,101.0181 +Clematis delavayi var. calvescens,31.499202,98.218428 +Clematis delavayi var. spinescens,28.66,97.46 +Clematis erectisepala,34.43,104.03 +Clematis gouriana,24.68123,105.334672 +Clematis gracilifolia,28.389183,99.445793 +Clematis gracilifolia var. dissectifolia,26.876096,100.229945 +Clematis gracilifolia var. lasiocarpa,29.0758,99.9189 +Clematis gracilifolia var. macrantha,27.82308,99.706013 +Clematis grata,36.519977,103.891767 +Clematis gratopsis,34.5,105.833333 +Clematis graveolens,29.3,91.98 +Clematis grewiiflora,28.85,85.29 +Clematis jialasaensis,29.32,95.33 +Clematis kockiana,29.914155,102.234618 +Clematis metuoensis,29.32,95.33 +Clematis meyeniana,26.43,110.85 +Clematis montana,27.778042,99.591759 +Clematis montana var. brevifoliola,29.63,94.36 +Clematis montana var. glabrescens,27.82308,99.706013 +Clematis montana var. longipes,27.82308,99.706013 +Clematis montana var. sterilis,29.22,102.35 +Clematis montana var. wilsonii,35.86,104.2 +Clematis napaulensis,35.86,104.2 +Clematis ningjingshanica,38.073254,104.69114 +Clematis parviloba,35.86,104.2 +Clematis peterae,25.5,100.183 +Clematis pseudopogonandra,29.2739,98.6728 +Clematis puberula var. ganpiniana,31.32,102 +Clematis rehderiana,35.86,104.2 +Clematis siamensis,29.32,95.33 +Clematis siamensis var. clarkei,27.965,98.6525 +Clematis smilacifolia,23.9,106.61 +Clematis tangutica,28.450418,99.797234 +Clematis tangutica var. pubescens,31.1025,97.1861 +Clematis tenuifolia,31.1419,100.909 +Clematis tibetana,29.8906,93.6564 +Clematis tibetana var. lineariloba,29.63,94.36 +Clematis tibetana var. vernayi,29.8906,93.6564 +Clematis tongluensis,28.67,93.63 +Clematis tongluensis var. mollisepala,28.67,93.63 +Clematis tripartita,38.073254,104.69114 +Clematis tsaii,29.32,95.33 +Clematis urophylla,31.82,108.62 +Clematis viridis,32.9256,97.2661 +Clematis yui,29.63521,94.408318 +Clematis yunnanensis,35.86,104.2 +Clematis zandaensis,31.47,79.8 +Clematis zeylanica,22.01071,100.799775 +Consolida ajacis,23.127041,113.341527 +Coptis teeta,35.86,104.2 +Delphinium albocoeruleum,31.7,94.9 +Delphinium altissimum,28.85,85.29 +Delphinium beesianum,35.86,104.2 +Delphinium beesianum var. latisectum,35.86,104.2 +Delphinium beesianum var. radiatifolium,29.67,97.84 +Delphinium brunonianum,36.519977,103.891767 +Delphinium bulleyanum,30.004589,99.107741 +Delphinium caeruleum,28.9,90.92 +Delphinium caeruleum var. obtusilobum,27.48,88.9 +Delphinium candelabrum,33.376944,100.29 +Delphinium candelabrum var. monanthum,33.376944,100.29 +Delphinium ceratophoroides,29.037008,100.298406 +Delphinium ceratophorum,24.976725,101.487417 +Delphinium changduense,28.66,97.46 +Delphinium chayuense,28.66,97.46 +Delphinium chrysotrichum,31.68,94.92 +Delphinium chrysotrichum var. tsarongense,31.68,94.92 +Delphinium chumulangmaense,30.93,88.7 +Delphinium chungbaense,29.77,84.03 +Delphinium conaense,28,91.95 +Delphinium conocentrum,38.073254,104.69114 +Delphinium densiflorum,34.266111,100.284167 +Delphinium dicentrum,38.073254,104.69114 +Delphinium forrestii,30.22,100.26 +Delphinium forrestii var. viride,28.66,97.46 +Delphinium glaciale,30.93,88.7 +Delphinium gyalanum,29.68,91.13 +Delphinium hillcoatiae,31.712092,88.118532 +Delphinium hillcoatiae var. pilocarpum,29.37,90.73 +Delphinium himalayae,28.85,85.29 +Delphinium incisolobulatum,31.1228,97.0233 +Delphinium kamaonense,35.20256,102.521732 +Delphinium kamaonense var. glabrescens,35.20256,102.521732 +Delphinium kingianum,29.3,91.98 +Delphinium kingianum var. acuminatissimum,29.3,91.98 +Delphinium kingianum var. eglandulosum,29.3,91.98 +Delphinium lagarocentrum,38.073254,104.69114 +Delphinium lagarolobum,38.073254,104.69114 +Delphinium langxianense,38.073254,104.69114 +Delphinium latilimbum,18.252625,109.511923 +Delphinium leiophyllum,29.89,91.26 +Delphinium leiostachyum,27.92,101.27 +Delphinium lihengianum,27.48,88.9 +Delphinium likiangense,26.876096,100.229945 +Delphinium longibracteolatum,31.505278,98.289444 +Delphinium longipedicellatum,29.85,95.76 +Delphinium longziense,38.073254,104.69114 +Delphinium medogense,29.32,95.33 +Delphinium nangchienense,32.0944,97.2667 +Delphinium nangziense,31.712092,88.118532 +Delphinium nordhagenii,33.38,79.73 +Delphinium nordhagenii var. acutidentatum,33.38,79.73 +Delphinium nortonii,28.35,90.9 +Delphinium obcordatilimbum,31.22,96.6 +Delphinium pomeense,29.85,95.76 +Delphinium pseudoglaciale,29.68,89.09 +Delphinium pseudopulcherrimum,36.519977,103.891767 +Delphinium pseudoyunnanense,38.073254,104.69114 +Delphinium pulanense,30.3,81.17 +Delphinium purpurascens,28.17,85.98 +Delphinium pylzowii,34.432222,100.333889 +Delphinium pylzowii var. trigynum,34.432222,100.333889 +Delphinium sherriffii,29.04,93.07 +Delphinium subspathulatum,28.17,85.98 +Delphinium tabatae,28.85,85.29 +Delphinium tangkulaense,34.177222,97.768611 +Delphinium tenii,35.86,104.2 +Delphinium tephranthum,38.073254,104.69114 +Delphinium thibeticum,28.8675,99.2458 +Delphinium thibeticum var. laceratilobum,31.21,100.27 +Delphinium tongolense,25.012526,102.700013 +Delphinium trichophorum,36.519977,103.891767 +Delphinium umbrosum var. drepanocentrum,28,91.95 +Delphinium vestitum,28.11,86 +Delphinium viridiovarium,38.073254,104.69114 +Delphinium viscosum,31.87,99.12 +Delphinium viscosum var. chrysotrichum,31.68,94.92 +Delphinium wardii,29.05,93.98 +Delphinium xanthanthum,28.75,98.25 +Delphinium zhanangense,38.073254,104.69114 +Delphinium zuogongense,29.494444,97.943889 +Dichocarpum adiantifolium,23.763342,98.82524 +Gymnaconitum gymnandrum,36.508261,100.903803 +Halerpestes cymbalaria,29.89,91.26 +Halerpestes filisecta,32.4,81.12 +Halerpestes lancifolia,31.47,79.8 +Halerpestes ruthenica,32.573889,97.210556 +Halerpestes sarmentosa,45.677401,129.939423 +Halerpestes tricuspis,34.634722,99.744722 +Halerpestes tricuspis var. heterophylla,31.39,90 +Halerpestes tricuspis var. intermedia,31.8,98.58 +Halerpestes tricuspis var. variifolia,27.82308,99.706013 +Oxygraphis delavayi,35.86,104.2 +Oxygraphis endlicheri,28.5733,99.8117 +Oxygraphis glacialis,34.469167,100.3925 +Oxygraphis tenuifolia,29.914155,102.234618 +Paraquilegia anemonoides,30.659926,117.490786 +Paraquilegia caespitosa,37.77,75.22 +Paraquilegia microphylla,31.68115,103.85348 +Ranunculus adoxifolius,38.073254,104.69114 +Ranunculus banguoensis,31.39,90 +Ranunculus banguoensis var. grandiflorus,30.29,81.17 +Ranunculus brotherusii,34.633333,99.733333 +Ranunculus cantoniensis,35.86,104.2 +Ranunculus chinensis,44.609,130.332 +Ranunculus chuanchingensis,32.77,96.67 +Ranunculus decandrus,22.54,114.05 +Ranunculus densiciliatus,28.36,87.76 +Ranunculus dielsianus,29.1381,99.3342 +Ranunculus dielsianus var. suprasericeus,28.48611,98.911543 +Ranunculus diffusus,35.86,104.2 +Ranunculus dingjieensis,28.37,87.77 +Ranunculus distans,30.034341,94.9898 +Ranunculus dongrergensis,32.26,91.68 +Ranunculus dongrergensis var. altifidus,0,0 +Ranunculus duoxionglashanicus,38.073254,104.69114 +Ranunculus ficariifolius,35.86,104.2 +Ranunculus furcatifidus,30.29,81.17 +Ranunculus glabricaulis,34.580833,99.450833 +Ranunculus glareosus,32.573889,97.210556 +Ranunculus hirtellus var. humilis,32.26,91.68 +Ranunculus humillimus,33.27,104.23 +Ranunculus indivisus,33.57587,102.961829 +Ranunculus japonicus,25.25,110.05 +Ranunculus limprichtii,28.85,90.45 +Ranunculus longziensis,38.073254,104.69114 +Ranunculus mainlingensis,29.63,94.36 +Ranunculus melanogynus,38.073254,104.69114 +Ranunculus membranaceus,34.588611,100.557778 +Ranunculus membranaceus var. pubescens,32.97,98.1 +Ranunculus minor,28.36,87.76 +Ranunculus muricatus,28.15,120.28 +Ranunculus natans,43.44,87.44 +Ranunculus nephelogenes,32.8792,97.0675 +Ranunculus nephelogenes var. longicaulis,36.36,101.448056 +Ranunculus nyalamensis,28.17,85.98 +Ranunculus nyalamensis var. angustipetalus,28.17,85.98 +Ranunculus oreionannos,28.36,87.76 +Ranunculus pegaeus,29.63,94.36 +Ranunculus popovii var. stracheyanus,28.48611,98.911543 +Ranunculus potaninii,34.73,92.92 +Ranunculus pseudopygmaeus,28.85,85.29 +Ranunculus sikkimensis,35.86,104.2 +Ranunculus silerifolius,24.580446,99.92854 +Ranunculus similis,34.116667,97.65 +Ranunculus tanguticus,29.914155,102.234618 +Ranunculus trigonus,25.0036,98.5833 +Ranunculus yaoanus,38.073254,104.69114 +Thalictrum alpinum var. elatum,35.86,104.2 +Thalictrum atriplex,28.48611,98.911543 +Thalictrum baicalense,46.039417,132.598139 +Thalictrum changii,30.2272,120.141 +Thalictrum chelidonii,28.85,85.29 +Thalictrum cirrhosum,26.088547,103.176727 +Thalictrum cultratum,35.86,104.2 +Thalictrum delavayi,27.079372,100.259819 +Thalictrum diffusiflorum,28.93,93.23 +Thalictrum elegans,28.48611,98.911543 +Thalictrum finetii,35.86,104.2 +Thalictrum foetidum,34.714722,100.711944 +Thalictrum foliolosum,22.777794,100.970535 +Thalictrum hengduanshanense,33.693889,99.431111 +Thalictrum lecoyeri,28.01,102.84 +Thalictrum leuconotum,32.0806,97.0072 +Thalictrum longistipitatum,18.626309,109.700342 +Thalictrum minus,34.676667,100.643333 +Thalictrum minus subsp. maxwellii,42.831,126.497 +Thalictrum nepalense,27.629986,99.685448 +Thalictrum neurocarpum,28.17,85.98 +Thalictrum platycarpum,27.82308,99.706013 +Thalictrum przewalskii,34.714722,100.711944 +Thalictrum reniforme,27.48,88.9 +Thalictrum rostellatum,35.86,104.2 +Thalictrum rotundifolium,28.85,85.29 +Thalictrum rutifolium,33.693889,99.431111 +Thalictrum saniculiforme,28.66,97.46 +Thalictrum secundum,35.060556,117.436944 +Thalictrum smithii,28.6003,100.287 +Thalictrum squamiferum,33.000556,97.328889 +Thalictrum tsawarungense,29.85,95.76 +Thalictrum uncatum,33.1567,96.6483 +Thalictrum virgatum,28.85,85.29 +Trollius farreri,29.66666,91.35 +Trollius farreri var. major,28.35861,98.78694 +Trollius micranthus,27.740736,98.66582 +Trollius pumilus,34.460556,100.401667 +Trollius pumilus var. tanguticus,34.469167,100.3925 +Trollius ranunculoides,28.385,98.78583 +Trollius vaginatus,27.82308,99.706013 +Trollius yunnanensis,35.86,104.2 +Meliosma angustifolia,18.74,109.17 +Meliosma arnottiana,25.759722,98.706111 +Meliosma cuneifolia,29.85,95.76 +Meliosma dilleniifolia,35.86,104.2 +Meliosma dumicola,29.32,95.33 +Meliosma parviflora,29.49,103.39 +Meliosma pinnata,29.32,95.33 +Meliosma simplicifolia,36.519977,103.891767 +Meliosma thomsonii,35.86,104.2 +Meliosma yunnanensis,35.86,104.2 +Sabia campanulata,36.519977,103.891767 +Sabia campanulata subsp. ritchieae,33.32,105.6 +Sabia lanceolata,26.466667,111.316667 +Sabia parviflora,29.32,95.33 +Sabia purpurea,29.32,95.33 +Sabia purpurea subsp. dumicola,29.32,95.33 +Sabia yunnanensis,29.016667,107 +Nelumbo nucifera,31.662187,119.879837 +Platanus orientalis,27.221519,112.805557 +Helicia excelsa,35.86,104.2 +Helicia grandis,29.32,95.33 +Helicia nilagirica,29.32,95.33 +Helicia tibetensis,29.32,95.33 +Helicia vestita,29.32,95.33 +Helicia vestita var. longipes,29.32,95.33 +Tetracentron sinense,35.86,104.2 +Trochodendron aralioides,29.914155,102.234618 +Buxus myrica,23.49,108.62 +Buxus rugulosa,31.82,108.62 +Buxus rugulosa var. prostrata,27.60667,99.64528 +Buxus rugulosa var. rupicola,27.82308,99.706013 +Buxus sinica,24.913331,113.082651 +Sarcococca hookeriana,35.86,104.2 +Sarcococca hookeriana var. digyna,35.86,104.2 +Sarcococca saligna,30.55,103.29 +Sarcococca wallichii,35.86,104.2 +Dillenia indica,22.01071,100.799775 +Dillenia scabrella,18.74,109.17 +Tetracera sarmentosa,29.15,112.5 +Tetracera scandens,22.69,112.22 +Paeonia anomala subsp. veitchii,26.908457,102.930168 +Paeonia delavayi,35.86,104.2 +Paeonia emodi,28.85,85.29 +Paeonia ludlowii,28.356141,99.073041 +Paeonia sterniana,31.712092,88.118532 +Altingia chinensis,26.466667,111.316667 +Altingia excelsa,35.86,104.2 +Corylopsis himalayana,35.86,104.2 +Exbucklandia populnea,35.86,104.2 +Loropetalum chinense,0,0 +Daphniphyllum calycinum,0,0 +Daphniphyllum chartaceum,0,0 +Daphniphyllum himalense,0,0 +Daphniphyllum paxianum,35.86,104.2 +Itea chinensis,35.86,104.2 +Itea kiukiangensis,35.86,104.2 +Itea macrophylla,21.941271,101.255528 +Itea omeiensis,25.586814,115.714352 +Itea yunnanensis,35.86,104.2 +Ribes alpestre,35.86,104.2 +Ribes alpestre var. eglandulosum,30.055305,101.96483 +Ribes alpinum,27.2822,100.85195 +Ribes glaciale,29.05,93.95 +Ribes griffithii,27.48,88.9 +Ribes gyirongense,28.85,85.3 +Ribes himalense,35.86,104.2 +Ribes himalense var. pubicalycinum,30.055305,101.96483 +Ribes himalense var. verruculosum,40.042275,115.489731 +Ribes kialanum,31.82,108.62 +Ribes laciniatum,28.48611,98.911543 +Ribes luridum,35.86,104.2 +Ribes orientale,27.82308,99.706013 +Ribes pseudofasciculatum,31.08,96.97 +Ribes qingzangense,27.48,88.9 +Ribes qingzangense var. urceolatum,29.87,95.77 +Ribes soulieanum,28.85,85.29 +Ribes stenocarpum,37.2,102.4 +Ribes takare,35.86,104.2 +Ribes takare var. desmocarpum,29.914155,102.234618 +Ribes tenue,35.86,104.2 +Ribes xizangense,28.661276,97.466916 +Astilbe rivularis,35.86,104.2 +Astilbe rivularis var. myriantha,29.73797,103.231884 +Astilbe rubra,25.584234,100.222124 +Bergenia ciliata,28.85,85.29 +Bergenia pacumbis,28.85,85.29 +Bergenia purpurascens,28.66,97.46 +Bergenia stracheyi,31.712092,88.118532 +Chrysosplenium absconditicapsulum,29.65,91.12 +Chrysosplenium arunachalense,28.385,98.78583 +Chrysosplenium carnosum,29.63,94.36 +Chrysosplenium forrestii,35.86,104.2 +Chrysosplenium griffithii,28.385,98.78583 +Chrysosplenium lanuginosum,36.519977,103.891767 +Chrysosplenium nepalense,29.138831,94.211324 +Chrysosplenium nudicaule,36.519977,103.891767 +Chrysosplenium oxygraphoides,31.712092,88.118532 +Chrysosplenium sikangense,35.86,104.2 +Chrysosplenium uniflorum,32.883056,96.685 +Micranthes divaricata,32.63,103.6 +Micranthes dungbooi,38.073254,104.69114 +Micranthes lumpuensis,34.69,103.35 +Micranthes melanocentra,34.469167,100.3925 +Micranthes pallida,25.75,100.08 +Rodgersia aesculifolia,27.083101,100.262459 +Rodgersia aesculifolia var. henricii,23.763342,98.82524 +Rodgersia nepalensis,30.84985,102.96234 +Rodgersia pinnata,27.078239,100.256783 +Rodgersia podophylla,33.4,104.92 +Rodgersia sambucifolia,36.519977,103.891767 +Saxifraga afghanica,32.883056,96.685 +Saxifraga andersonii,28.65,87.12 +Saxifraga aristulata,28.37,99.02 +Saxifraga aristulata var. longipila,27.42,101.5 +Saxifraga assamensis,35.86,104.2 +Saxifraga atuntsiensis,28.46357,98.91699 +Saxifraga aurantiaca,27.82308,99.706013 +Saxifraga auriculata,30.05,101.96 +Saxifraga auriculata var. conaensis,28,91.95 +Saxifraga bergenioides,29.14,92.59 +Saxifraga brachypoda,28.3523,85.7833 +Saxifraga brachypodoidea,29.54,103.36 +Saxifraga brevicaulis,29.15,92.58 +Saxifraga brunneopunctata,29.58,91.15 +Saxifraga brunonis,28.85,85.29 +Saxifraga caveana,29,93.98 +Saxifraga caveana var. lanceolata,29,93.98 +Saxifraga cernua,30.29,81.17 +Saxifraga chionophila,27.82308,99.706013 +Saxifraga chumbiensis,28.935103,90.554197 +Saxifraga ciliatopetala,29.77,84.03 +Saxifraga clivorum,28.36,87.76 +Saxifraga coarctata,27.82308,99.706013 +Saxifraga congestiflora,36.89,100.99 +Saxifraga consanguinea,31.13,96.9 +Saxifraga contraria,24.833333,98.783333 +Saxifraga cordigera,29.54,103.36 +Saxifraga decora,28.48611,98.911543 +Saxifraga densifoliata var. nedongensis,30.05,101.96 +Saxifraga deqenensis,28.48611,98.911543 +Saxifraga diapensia,28.596944,99.867778 +Saxifraga diffusicallosa,27.48,88.9 +Saxifraga dingqingensis,29.54,103.36 +Saxifraga diversifolia,29.67,94.38 +Saxifraga diversifolia var. angustibracteata,27.92,101.27 +Saxifraga doyalana,29.54,103.36 +Saxifraga dshagalensis,29.54,103.36 +Saxifraga eglandulosa,29.58,95 +Saxifraga egregia,32.15,97.045 +Saxifraga egregia var. eciliata,29.85,95.76 +Saxifraga egregioides,29.32,95.33 +Saxifraga elliotii,32.775339,103.623545 +Saxifraga elliptica,29.14,92.59 +Saxifraga engleriana,29,93.98 +Saxifraga erectisepala,34.43,104.03 +Saxifraga erinacea,27.928385,91.879639 +Saxifraga filicaulis,28.491111,98.939722 +Saxifraga filifolia,35.86,104.2 +Saxifraga finitima,28.628445,98.633361 +Saxifraga flaccida,28.85,85.29 +Saxifraga gedangensis,29.32,95.33 +Saxifraga glaucophylla,28.93,99.79 +Saxifraga gouldii,29,93.95 +Saxifraga gouldii var. eglandulosa,29,93.95 +Saxifraga granulifera,29.1419,99.6497 +Saxifraga gyalana,30.05,96.91 +Saxifraga haplophylloides,28,91.95 +Saxifraga heleonastes,26.9,117.17 +Saxifraga hemisphaerica,32.77,96.67 +Saxifraga hengduanensis,26.901731,98.869207 +Saxifraga heteroclada,28.650694,98.621167 +Saxifraga heteroclada var. aurantia,28.66,97.46 +Saxifraga heterocladoides,29.85,95.76 +Saxifraga heterotricha,29.97,93.68 +Saxifraga heterotricha var. anadena,29.1278,99.9753 +Saxifraga hirculoides,34.334167,100.509444 +Saxifraga hirculus,28.497222,98.956389 +Saxifraga hirculus var. alpina,32.49,80.09 +Saxifraga hispidula,28.66,97.46 +Saxifraga hookeri,29.89,91.26 +Saxifraga hypericoides,27.42,101.5 +Saxifraga implicans,28.71,99.28 +Saxifraga isophylla,29.58,95 +Saxifraga jacquemontiana,29,93.98 +Saxifraga jainzhuglaensis,29.85,95.76 +Saxifraga kingdonii,29.58,95 +Saxifraga kingiana,28.85,85.29 +Saxifraga kongboensis,29.63,94.36 +Saxifraga lepidostolonosa,28,91.95 +Saxifraga likiangensis,30.05,96.91 +Saxifraga litangensis,29.03,92.33 +Saxifraga llonakhensis,28.66,97.46 +Saxifraga ludlowii,27.6961,98.4553 +Saxifraga lychnitis,29.77,84.03 +Saxifraga macrostigmatoides,35.86,104.2 +Saxifraga medogensis,29.32,95.33 +Saxifraga mengtzeana,30.99,102.36 +Saxifraga microgyna,28.48611,98.911543 +Saxifraga miralana,29,93.98 +Saxifraga monantha,35.86,104.2 +Saxifraga montanella,27.762306,98.941667 +Saxifraga montanella var. retusa,27.762306,98.941667 +Saxifraga moorcroftiana,27.177166,99.28717 +Saxifraga mucronulata,27.82308,99.706013 +Saxifraga mucronulatoides,28.12,91.9 +Saxifraga nakaoides,28,91.95 +Saxifraga nambulana,29.54,103.36 +Saxifraga nanella,32.5739,97.2106 +Saxifraga nanella var. glabrisepala,28.36,87.76 +Saxifraga nangxianensis,29.65,91.12 +Saxifraga nigroglandulifera,35.86,104.2 +Saxifraga nigroglandulosa,28.93,99.79 +Saxifraga omphalodifolia,29.32,95.33 +Saxifraga oppositifolia,42.6,85.5 +Saxifraga oreophila,34.56,99.67 +Saxifraga paiquensis,29.54,103.36 +Saxifraga pardanthina,28.93,99.79 +Saxifraga parkaensis,30.29,81.17 +Saxifraga parnassiifolia,29.54,103.36 +Saxifraga parva,33.85,95.62 +Saxifraga perpusilla,29.14,92.59 +Saxifraga pilopetala,28.93,99.79 +Saxifraga prattii,30.05,101.96 +Saxifraga przewalskii,33.75,97.05 +Saxifraga pseudohirculus,30.055305,101.96483 +Saxifraga pulchra,26.876096,100.229945 +Saxifraga pulvinaria,27.82308,99.706013 +Saxifraga punctulata,27.48,88.9 +Saxifraga punctulata var. minuta,29.77,84.03 +Saxifraga punctulatoides,28.849247,91.998363 +Saxifraga rotundipetala,29.85,95.76 +Saxifraga rufescens,41.806,126.907 +Saxifraga saginoides,30.35,90.57 +Saxifraga sanguinea,30.05,101.96 +Saxifraga sediformis,28.66,97.46 +Saxifraga sessiliflora,28.65,87.12 +Saxifraga sheqilaensis,29.63,94.36 +Saxifraga sibirica,36.519977,103.891767 +Saxifraga signata,32.77,96.67 +Saxifraga signatella,28.53,92.42 +Saxifraga sinomontana,28.596944,99.867778 +Saxifraga sphaeradena,28.85,85.29 +Saxifraga sphaeradena subsp. dhwojii,28.85,85.29 +Saxifraga stella-aurea,35.86,104.2 +Saxifraga stella-aurea var. macrostellata,35.86,104.2 +Saxifraga stenophylla,30.05,96.91 +Saxifraga strigosa,0,0 +Saxifraga subaequifoliata,0,0 +Saxifraga subsessiliflora,27.82308,99.706013 +Saxifraga substrigosa,28.95,93.22 +Saxifraga subternata,29.65,94.366667 +Saxifraga subtsangchanensis,29.85,95.76 +Saxifraga tangutica,28.47,90.58 +Saxifraga tangutica var. platyphylla,28.93,99.79 +Saxifraga taraktophylla,29.63,94.36 +Saxifraga tentaculata,24.35,114.13 +Saxifraga tibetica,33.290107,101.112238 +Saxifraga tigrina,29.22,94.22 +Saxifraga tsangchanensis,28.5733,99.8117 +Saxifraga umbellulata,28.88,92.1 +Saxifraga umbellulata var. muricola,29.65,91.12 +Saxifraga umbellulata var. pectinata,31.13,97.18 +Saxifraga unguiculata,30.35,90.57 +Saxifraga viscidula,40.339275,115.831877 +Saxifraga wallichiana,28.95,93.22 +Saxifraga wardii,29.609126,94.654199 +Saxifraga wardii var. glabripedicellata,28.36444,98.79166 +Saxifraga yarlungzangboensis,29,93.97 +Saxifraga zayuensis,28.48611,98.911543 +Tiarella polyphylla,35.86,104.2 +Bryophyllum pinnatum,24.47,118.08 +Kalanchoe ceratophylla,21.475834,101.56752 +Kalanchoe integra,36.519977,103.891767 +Ohbaea balfourii,27.92,101.27 +Orostachys spinosa,36.519977,103.891767 +Orostachys thyrsiflora,36.35,76.67 +Rhodiola alsia,28.48611,98.911543 +Rhodiola alsia subsp. kawaguchii,0,0 +Rhodiola alterna,31.480245,93.679637 +Rhodiola amabilis,27.790653,99.583008 +Rhodiola atsaensis,28.53,92.42 +Rhodiola atuntsuensis,27.790653,99.583008 +Rhodiola bupleuroides,35.86,104.2 +Rhodiola calliantha,28.85,85.29 +Rhodiola chrysanthemifolia,28.48611,98.911543 +Rhodiola coccinea,28.71,99.28 +Rhodiola coccinea subsp. scabrida,28.93,99.79 +Rhodiola crenulata,29.037008,100.298406 +Rhodiola cretinii,27.98,87.13 +Rhodiola cretinii subsp. sinoalpina,28.36,87.76 +Rhodiola discolor,27.82308,99.706013 +Rhodiola dumulosa,32.15,97.045 +Rhodiola fastigiata,35.86,104.2 +Rhodiola heterodonta,30.64,93.23 +Rhodiola himalensis,29.1339,100.043 +Rhodiola himalensis subsp. taohoensis,34.58,103.5 +Rhodiola hobsonii,29.88,93.24 +Rhodiola humilis,31.833056,96.488333 +Rhodiola humilis var. jialiensis,31.833056,96.488333 +Rhodiola imbricata,37.05,75.45 +Rhodiola kaschgarica,31.13,97.18 +Rhodiola kirilowii,32.075556,97.065278 +Rhodiola litwinowii,37.77,75.22 +Rhodiola macrocarpa,35.86,104.2 +Rhodiola namlingensis,27.790653,99.583008 +Rhodiola nepalica,29.15,88.07 +Rhodiola nobilis,28.48611,98.911543 +Rhodiola ovatisepala,29.85,95.76 +Rhodiola ovatisepala var. chingii,28.661276,97.466916 +Rhodiola prainii,28.85,85.29 +Rhodiola primuloides,32.918333,97.3275 +Rhodiola primuloides subsp. kongboensis,29.05,93.98 +Rhodiola purpureoviridis,35.86,104.2 +Rhodiola purpureoviridis subsp. phariensis,27.03806,100.18139 +Rhodiola quadrifida,31.9272,96.4597 +Rhodiola sacra,32.120833,97.035 +Rhodiola sacra var. tsuiana,32.085556,97.011944 +Rhodiola sedoides,27.790653,99.583008 +Rhodiola serrata,29.65,94.98 +Rhodiola sexifolia,31.49,98.21 +Rhodiola sherriffii,29.83,91.73 +Rhodiola sinuata,27.82308,99.706013 +Rhodiola smithii,32,90 +Rhodiola stapfii,27.75,89.17 +Rhodiola tangutica,33.75,97.05 +Rhodiola tibetica,29.6728,96.7781 +Rhodiola tieghemii,29.22,94.22 +Rhodiola tricarpa,27.790653,99.583008 +Rhodiola wallichiana,35.86,104.2 +Rhodiola wallichiana var. cholaensis,27.82308,99.706013 +Rhodiola wangii,23.03,106.76 +Rhodiola yunnanensis,35.86,104.2 +Rosularia alpestris,31.47,79.8 +Sedum alfredii,28.67,104.01 +Sedum bergeri,25.012526,102.700013 +Sedum celatum,34.78,92.88 +Sedum chauveaudii,30.91,102.54 +Sedum emarginatum,32.1,114.08 +Sedum erici-magnusii,29.1239,99.9967 +Sedum fedtschenkoi,43.870518,85.566173 +Sedum fischeri,34.177222,97.768611 +Sedum gagei,29.14,92.59 +Sedum glaebosum,33.000556,97.328889 +Sedum heckelii,28.66,97.46 +Sedum hengduanense,29.037008,100.298406 +Sedum henrici-robertii,34.3683,100.222 +Sedum longyanense,31.13,97.18 +Sedum lutzii,29.32,95.33 +Sedum majus,35.86,104.2 +Sedum multicaule,29.32,95.33 +Sedum multicaule subsp. rugosum,28.66,97.46 +Sedum obtrullatum,28.48611,98.911543 +Sedum obtusipetalum,28.48611,98.911543 +Sedum oreades,29.85,95.76 +Sedum przewalskii,35.86,104.2 +Sedum raymondii,27.82308,99.706013 +Sedum roborowskii,32.15,96.533333 +Sedum shigatsense,38.073254,104.69114 +Sedum sinoglaciale,27.92,101.27 +Sedum susanneae,32.637983,103.59895 +Sedum susanneae var. macrosepalum,30.055305,101.96483 +Sedum triactina,29.22,102.35 +Sedum trullipetalum,35.86,104.2 +Sedum trullipetalum var. ciliatum,30.055305,101.96483 +Sedum tsonanum,28,91.95 +Sedum ulricae,32.120833,97.035 +Sinocrassula densirosulata,26.322045,99.863564 +Sinocrassula indica,35.86,104.2 +Sinocrassula indica var. luteorubra,35.86,104.2 +Sinocrassula indica var. obtusifolia,30,99.1 +Sinocrassula indica var. serrata,31.56955,110.85799 +Sinocrassula indica var. viridiflora,33.32,106.15 +Sinocrassula paoshingensis var. spinulosa,35.86,104.2 +Sinocrassula techinensis,29.04,93.07 +Tillaea schimperi,29.49,103.39 +Gonocarpus micranthus,27.698056,98.303611 +Myriophyllum spicatum,30.34,119.95 +Myriophyllum verticillatum,39.867956,116.195928 +Ampelocissus barbata,28.85,85.29 +Ampelocissus divaricata,28.85,85.29 +Ampelocissus latifolia,28.85,85.29 +Ampelocissus sikkimensis,21.475834,101.56752 +Ampelocissus xizangensis,28.85,85.29 +Ampelopsis acutidentata,28.8436,98.6642 +Ampelopsis bodinieri,35.86,104.2 +Ampelopsis bodinieri var. cinerea,35.86,104.2 +Causonis corniculata,27.75,118.03 +Causonis japonica,24.6888,97.7471 +Causonis medogensis,29.326875,95.328655 +Causonis trifolia,22.01071,100.799775 +Cayratia geniculata,21.475834,101.56752 +Cayratia mollissima,18.252625,109.511923 +Cayratia pedata,23.437468,104.672252 +Cissus adnata,21.957355,100.452547 +Cissus assamica,26.43,110.85 +Cissus heyneana,26.0272,98.6286 +Cissus javana,24.02,117.72 +Cissus repanda,27.37,102.53 +Cissus repens,24.93,105.84 +Leea aequata,22.792186,103.086573 +Leea alata,21.934011,101.260734 +Leea asiatica,21.932023,101.252419 +Leea compactiflora,21.934011,101.260734 +Leea guineense,29.32,95.33 +Leea indica,23.12,113.34 +Leea macrophylla,21.934011,101.260734 +Nekemias grossedentata,25.166111,116.193611 +Parthenocissus feddei,29.990847,109.484961 +Parthenocissus henryana,29.3,102.47 +Parthenocissus semicordata,24.8308,98.7678 +Tetrastigma bracteolatum,24.983333,112.833333 +Tetrastigma delavayi,35.86,104.2 +Tetrastigma dubium,35.86,104.2 +Tetrastigma hemsleyanum,24.983333,112.833333 +Tetrastigma henryi,35.86,104.2 +Tetrastigma hypoglaucum,25.2975,98.7953 +Tetrastigma jinghongense,28.66,97.46 +Tetrastigma lenticellatum,22.010889,100.79926 +Tetrastigma obovatum,32.44,104.55 +Tetrastigma obtectum,35.86,104.2 +Tetrastigma planicaule,29.15,112.5 +Tetrastigma rumicispermum,27.7411,98.3453 +Tetrastigma rumicispermum var. lasiogynum,24.58669,98.689166 +Tetrastigma rupestre,23.13,106.42 +Tetrastigma serrulatum,35.86,104.2 +Tetrastigma serrulatum var. puberulum,23.880344,100.092756 +Tetrastigma sichouense var. megalocarpum,29.32,95.33 +Tetrastigma thomsonianum,24.983333,112.833333 +Tetrastigma triphyllum var. hirtum,25.150199,102.079017 +Tetrastigma xizangense,29.32,95.33 +Tetrastigma yunnanense,35.86,104.2 +Vitis betulifolia,0,0 +Vitis heyneana,26.0272,98.6286 +Vitis vinifera,24.479669,118.089767 +Tribulus terrestris,39.333333,106.983333 +Aganope polystachya,18.252625,109.511923 +Albizia chinensis,35.86,104.2 +Albizia julibrissin,33.081569,107.045478 +Albizia kalkora,30.353794,119.436458 +Albizia lebbeck,25.380343,118.10704 +Albizia lucidior,22.653799,108.310905 +Albizia mollis,25.012526,102.700013 +Albizia odoratissima,35.86,104.2 +Albizia procera,21.475834,101.56752 +Albizia sherriffii,35.86,104.2 +Alysicarpus glumaceus,26.534082,100.42293 +Amphicarpaea edgeworthii,41.7512,127.9692 +Amphicarpaea ferruginea,27.0983,100.175 +Apios carnea,30,94.88 +Apios delavayi,35.86,104.2 +Apios fortunei,24.7,117.31 +Apios macrantha,27.82308,99.706013 +Arachis hypogaea,31.375019,119.823343 +Archidendron arunachalense,21.68,101.42 +Archidendron bigeminum,29.6,103.48 +Archidendron clypearia,21.68,101.42 +Archidendron nielsenianum,21.68,101.42 +Astragalus acaulis,29.68,98.5 +Astragalus arnoldii,37.06,82.69 +Astragalus austrotibetanus,29.47,86.58 +Astragalus batangensis,28.13,99.43 +Astragalus baxoiensis,29.6728,96.7781 +Astragalus bhotanensis,25.584234,100.222124 +Astragalus blandulus,38.073254,104.69114 +Astragalus bouffordii,31.273333,96.969722 +Astragalus brachytrichus,25.8833,100.017 +Astragalus breviscapus,27.44948,99.822464 +Astragalus caeruleopetalinus,27.92,101.27 +Astragalus caeruleopetalinus var. glabricarpus,29.85,95.76 +Astragalus chagyabensis,25.379999,105.709999 +Astragalus changduensis,32.0803,97.02 +Astragalus changmuicus,28.17,85.98 +Astragalus cobresiiphilus,28.91,89.6 +Astragalus coluteocarpus,42.26,86.86 +Astragalus conaensis,27.9833,91.9833 +Astragalus confertus,28.85,85.29 +Astragalus crassifolius,30.05,101.96 +Astragalus damxungensis,38.073254,104.69114 +Astragalus degensis,27.82308,99.706013 +Astragalus degensis var. rockianus,27.82308,99.706013 +Astragalus densiflorus,32.27,96.22 +Astragalus densiflorus var. konlonicus,32.27,96.22 +Astragalus despectus,38.073254,104.69114 +Astragalus dingjiensis,28.36,87.76 +Astragalus dumetorum,25.275367,103.003972 +Astragalus ernestii,30.28,99.5 +Astragalus falconeri,30.29,81.17 +Astragalus fenzelianus,31.0778,96.9478 +Astragalus floridulus,36.47,101.61 +Astragalus graveolens,26.684218,100.750798 +Astragalus hancockii,40.044142,115.502009 +Astragalus hedinii,31.47,79.8 +Astragalus heterodontus,31.47,79.8 +Astragalus hoffmeisteri,36.25,77.92 +Astragalus hysophilus,38.073254,104.69114 +Astragalus jiazaensis,38.073254,104.69114 +Astragalus khasianus,25.67,100.13 +Astragalus kialensis,29.7372,96.065 +Astragalus kukunoricus,37.32,100.14 +Astragalus kuschakewiczii,31.725,100.744 +Astragalus laetabilis,38.073254,104.69114 +Astragalus lamalaensis,38.073254,104.69114 +Astragalus laxmannii,43.88,127.79 +Astragalus lessertioides,28.93,99.79 +Astragalus leucocephalus,28.65,87.12 +Astragalus lhorongensis,29.72,98.45 +Astragalus li-nii,28.5,90.55 +Astragalus longiscapus,28.17,85.98 +Astragalus lucidus,28.48611,98.911543 +Astragalus malcolmii,35.74523,94.317009 +Astragalus maowensis,38.073254,104.69114 +Astragalus mattam,34.1278,97.6578 +Astragalus mekongensis,28.71,99.28 +Astragalus melanostachys,31.80612,98.580912 +Astragalus membranaceus,38.073254,104.69114 +Astragalus membranaceus var. mongholicus,38.073254,104.69114 +Astragalus minhensis,38.073254,104.69114 +Astragalus minutidentatus,27.48,88.9 +Astragalus monbeigii,33.0103,97.1031 +Astragalus montivagus,21.846,107.889 +Astragalus muliensis,29.1031,99.6319 +Astragalus multiceps,36.47,77.98 +Astragalus munroi,31.47,79.8 +Astragalus nanfengensis,38.073254,104.69114 +Astragalus nangxianensis,29.65,91.12 +Astragalus nematodioides,43.81,87.6 +Astragalus oplites,30.29,81.17 +Astragalus orbicularifolius,28.85,90.45 +Astragalus oreocharis,27.761726,119.727924 +Astragalus peduncularis,36.4,99.95 +Astragalus peterae,36.92,101.32 +Astragalus polyacanthus,28.65,87.12 +Astragalus polycladus,33.8958,99.6806 +Astragalus porphyrocalyx,29.99605,100.269814 +Astragalus praeteritus,35.86,104.2 +Astragalus przewalskii,34.5886,100.558 +Astragalus pullus,28.48,98.92 +Astragalus pycnorhizus,28.85,85.29 +Astragalus rhizanthus,28.85,85.29 +Astragalus rhododendrophilus,38.073254,104.69114 +Astragalus rigidulus,30.05,96.91 +Astragalus saxorum,31.68115,103.853481 +Astragalus scaberrimus,39.333333,106.983333 +Astragalus semicircularis,28.661276,97.466916 +Astragalus sikkimensis,35.86,104.2 +Astragalus skythropos,33.1275,97.4622 +Astragalus smithianus,32.95,94.37 +Astragalus stalinskyi,44.02,89.59 +Astragalus stipulatus,27.48,88.9 +Astragalus strictus,34.4533,100.275 +Astragalus subansiriensis,38.073254,104.69114 +Astragalus subuliformis,28.66,97.46 +Astragalus tatsienensis,31.80612,98.580912 +Astragalus tatsienensis var. kangrenbuchiensis,28.48611,98.911543 +Astragalus tenuicaulis,27.48,88.9 +Astragalus tibeticola,27.48,88.9 +Astragalus tongolensis,30.92,102.93 +Astragalus tongolensis var. breviflorus,27.928607,101.279419 +Astragalus tongolensis var. glaber,29.0019,99.7428 +Astragalus tsangpoensis,31.68115,103.853481 +Astragalus tsataensis,31.47,79.8 +Astragalus tumbatsicus,29.58,94.93 +Astragalus variabilis,38.93,100.46 +Astragalus verus,30.29,81.17 +Astragalus webbianus,32,90 +Astragalus yunnanensis,30.056482,101.827026 +Astragalus zacharensis,36.97,103.14 +Astragalus zadaensis,38.073254,104.69114 +Astragalus zayuensis,29.32,95.33 +Bauhinia acuminata,21.906403,101.265526 +Bauhinia brachycarpa,28.258331,99.273941 +Bauhinia purpurea,25.25,110.05 +Bauhinia variegata,21.727232,101.584259 +Biancaea decapetala,32.017428,118.864159 +Butea monosperma,22.010889,100.79926 +Cajanus cajan,25.707567,101.873163 +Cajanus crassus,24.615701,100.709787 +Cajanus elongatus,25.707567,101.873163 +Cajanus goensis,22.004094,100.813989 +Cajanus scarabaeoides,26.534082,100.42293 +Callerya cinerea,25.29,98.79 +Campylotropis alopochroa,21.919623,101.27736 +Campylotropis brevifolia,27.42,101.5 +Campylotropis delavayi,26.534082,100.42293 +Campylotropis hirtella,26.87,100.23 +Campylotropis luhitensis,21.919623,101.27736 +Campylotropis macrocarpa,29.9906,95.3197 +Campylotropis polyantha,29.33,102.58 +Campylotropis speciosa subsp. eriocarpa,27.078745,100.261314 +Campylotropis yunnanensis,25.584234,100.222124 +Canavalia ensiformis,30.561162,114.381419 +Caragana aegacanthoides,28.85,85.29 +Caragana aliensis,30.29,81.17 +Caragana bicolor,28.48611,98.911543 +Caragana brevifolia,32.080278,97.02 +Caragana changduensis,29.67,97.84 +Caragana chinghaiensis,34.6833,100.683 +Caragana chumbica,29.6111,94.6517 +Caragana crassispina,20.822336,110.577179 +Caragana cuneatoalata,28.42,92.47 +Caragana densa,34.589587,103.507111 +Caragana erinacea,29.3,91.98 +Caragana franchetiana,27.448837,99.823051 +Caragana franchetiana var. gyirongensis,27.448837,99.823051 +Caragana gerardiana,31.479212,79.802703 +Caragana jubata,36.751537,99.607117 +Caragana jubata var. czetyrkininii,36.48,102.4 +Caragana junatovii,33.85,95.62 +Caragana kozlowii,31.80612,98.580912 +Caragana opulens,26.876096,100.229945 +Caragana spinifera,27.448837,99.823051 +Caragana stenophylla,39.333333,106.983333 +Caragana sukiensis,29.05,92.4 +Caragana tangutica,32.0803,97.02 +Caragana tibetica,28.537778,99 +Caragana versicolor,31.66,100.713 +Cassia fistula,23.127041,113.341527 +Cassia javanica,22.587006,114.063602 +Chamaecrista leschenaultiana,25.18,114.33 +Chamaecrista mimosoides,25.7258,100.1657 +Chamaecrista nomame,27.17,107.4 +Cheniella ovatifolia,23.437468,104.672252 +Cheniella quinnanensis subsp. gandhiana,21.768333,111.401944 +Cheniella tenuiflora,21.922423,101.276078 +Chesneya acaulis,31.47,79.8 +Chesneya crassipes,31.47,79.8 +Chesneya cuneata,29.1,99.6922 +Chesneya nubigena,27.82308,99.706013 +Chesneya nubigena subsp. purpurea,28.36,87.76 +Chesneya polystichoides,27.794479,99.587593 +Chesneya spinosa,28.91,89.6 +Cicer arietinum,23.127041,113.341527 +Cicer microphyllum,35.83,78 +Clitoria mariana,22.7,100.86 +Cochlianthus gracilis,30.06,102.75 +Codariocalyx gyroides,35.86,104.2 +Codariocalyx motorius,25.2867,98.5911 +Colutea nepalensis,31.47,79.8 +Corethrodendron lignosum var. laeve,38.28,109.73 +Corethrodendron multijugum,36.359052,100.586509 +Corethrodendron scoparium,39.52,109.35 +Crotalaria alata,35.86,104.2 +Crotalaria albida,29.58,102.2 +Crotalaria calycina,23.9,106.61 +Crotalaria cytisoides,22.01071,100.799775 +Crotalaria ferruginea,35.86,104.2 +Crotalaria juncea,22.391288,106.817838 +Crotalaria laburnifolia,24.652216,116.948616 +Crotalaria mairei,24.392902,106.633387 +Crotalaria mysorensis,22.010392,107.325268 +Crotalaria pallida,24.652216,116.948616 +Crotalaria retusa,18.25,109.5 +Crotalaria sessiliflora,25.32,101 +Crotalaria spectabilis,28.94,117.57 +Crotalaria tetragona,24.47,118.08 +Crotalaria yunnanensis,26.655322,102.244617 +Cynometra polyandra,31.197639,103.760934 +Cytisus scoparius,29.68,115.98 +Dalbergia assamica,23.098133,113.291316 +Dalbergia lanceolaria,19.176498,109.873535 +Dalbergia mimosoides,24.914395,113.07674 +Dalbergia oliveri,29.7116,98.0002 +Dalbergia pinnata,35.86,104.2 +Dalbergia rimosa,21.61,108.05 +Dalbergia sericea,28.66,97.46 +Dalbergia sissoo,24.47,118.08 +Dalbergia stipulacea,35.86,104.2 +Dalhousiea bracteata,30.58,82.43 +Dendrolobium triangulare,26.534082,100.42293 +Derris acuminata,23.928423,117.424747 +Derris cuneifolia,18.626309,109.700342 +Derris ferruginea,18.252625,109.511923 +Derris microptera,29.32,95.33 +Derris scabricaulis,27.7386,98.3489 +Derris scandens,22.753063,100.893393 +Derris secunda,23.928423,117.424747 +Derris taiwaniana,22.8,100.9833 +Dumasia cordifolia,27.7416,98.343597 +Dumasia forrestii,24.175587,110.235565 +Dumasia hirsuta,24.466672,112.626493 +Dumasia villosa,22.010889,100.79926 +Dumasia yunnanensis var. arunachalensis,25.584234,100.222124 +Dysolobium grande,21.926807,101.25891 +Dysolobium lucens,21.926807,101.25891 +Entada phaseoloides,22.004345,100.788513 +Entada pursaetha subsp. sinohimalensis,35.86,104.2 +Entada rheedei,18.252625,109.511923 +Eriosema himalaicum,25.2867,98.5911 +Erythrina arborescens,26.87,100.23 +Erythrina stricta,23.531078,99.411861 +Euchresta horsfieldii,23.437468,104.672252 +Flemingia macrophylla,26.534082,100.42293 +Flemingia strobilifera,25.664325,102.650987 +Gleditsia fera,20.44,110.2 +Gleditsia japonica var. delavayi,35.86,104.2 +Gleditsia medogensis,29.326875,95.328655 +Glycine max,21.9667,100.4667 +Grona griffithiana,35.86,104.2 +Grona heterocarpos,29.993525,122.15696 +Grona reticulata,22.666092,114.272305 +Grona triflora,22.604312,114.031753 +Gueldenstaedtia verna,40,116.35 +Guilandina bonduc,18.252625,109.511923 +Gymnocladus assamicus,36.519977,103.891767 +Gymnocladus chinensis,36.519977,103.891767 +Haymondia wallichii,35.86,104.2 +Hedysarum campylocarpon,28.85,85.29 +Hedysarum citrinum,29.14,92.59 +Hedysarum cuonanum,28.195427,99.962669 +Hedysarum falconeri,22.01071,100.799775 +Hedysarum hirtifoliolum,28.195427,99.962669 +Hedysarum kumaonense,28.85,85.29 +Hedysarum limitaneum,35.86,104.2 +Hedysarum longigynophorum,29.88,93.25 +Hedysarum nagarzense,29.08,87.63 +Hedysarum pseudastragalus,31.8503,102.67 +Hedysarum sikkimense,28.195427,99.962669 +Hedysarum tanguticum,28.48611,98.911543 +Hedysarum vicioides,28.48611,98.911543 +Hedysarum xizangense,29.7547,91.9375 +Huangtcia renifolia,21.475834,101.567519 +Huchimingia piscidia,0,0 +Hylodesmum leptopus,22.983563,103.687613 +Hylodesmum podocarpum,43.85,127.637 +Hylodesmum podocarpum subsp. oxyphyllum,29.810805,122.28829 +Hylodesmum repandum,22.983563,103.687613 +Hylodesmum williamsii,29.85,95.76 +Indigofera arrecta,29.866159,118.431373 +Indigofera atropurpurea,25.2975,98.7953 +Indigofera balfouriana,35.86,104.2 +Indigofera bracteata,28.85,85.29 +Indigofera bungeana,29.22787,102.359458 +Indigofera cylindracea,30.066425,102.7586 +Indigofera dolichochaete,27.92,101.27 +Indigofera dosua,28.85,85.29 +Indigofera hancockii,27.8561,98.6844 +Indigofera hebepetala,28.36,87.76 +Indigofera hebepetala var. glabra,28.36,87.76 +Indigofera heterantha,28.85,85.29 +Indigofera lenticellata,34.544025,95.468786 +Indigofera linifolia,26.257465,103.105257 +Indigofera litoralis,18.252625,109.511923 +Indigofera mairei,30.3681,102.8147 +Indigofera nigrescens,25.9819,98.8067 +Indigofera reticulata,27.37,102.53 +Indigofera rigioclada,30.06,102.75 +Indigofera scabrida,27.37,102.53 +Indigofera sesquipedalis,27.128668,100.231354 +Indigofera silvestrii,35.86,104.2 +Indigofera souliei,30.066708,102.758313 +Indigofera stachyodes,35.86,104.2 +Indigofera subverticellata,35.86,104.2 +Indigofera szechuensis,30.055305,101.96483 +Indigofera tinctoria,18.252625,109.511923 +Indigofera trifoliata,23.127041,113.341527 +Indigofera trita,27.128668,100.231354 +Kummerowia striata,42.877,130.35 +Lablab purpureus,30.559627,114.322539 +Lathyrus palustris var. exalatus,38.79,113.43 +Lathyrus sativus,40.02,116.21 +Leptodesmia microphylla,23.314189,114.325058 +Lespedeza cuneata,26.293056,110.789167 +Lespedeza davurica,35.060556,117.436944 +Lespedeza fasciculiflora,24.9936,102.459 +Lespedeza gerardiana,29.58,94.92 +Lespedeza hengduanshanensis,27.92,101.27 +Lespedeza hispida,26.466667,111.316667 +Lespedeza juncea,40.108763,113.168588 +Lespedeza pilosa,24.983333,112.833333 +Lespedeza potaninii,36.107933,120.415961 +Lespedeza thunbergii subsp. elliptica,25.7,100.1833 +Lespedeza thunbergii subsp. formosa,36.519977,103.891767 +Lespedeza tomentosa,35.651389,117.313056 +Leucaena leucocephala,22.823037,108.373351 +Lotus corniculatus,28.65694,98.93333 +Lupinus polyphyllus,27.48,88.9 +Mastersia assamica,29.8,110.116667 +Medicago archiducis-nicolai,33.0606,97.1428 +Medicago edgeworthii,28.61833,98.88361 +Medicago falcata,46.523792,89.477538 +Medicago lupulina,48.64611,116.82055 +Medicago minima,32.059064,119.418318 +Medicago polymorpha,30.559627,114.322539 +Medicago ruthenica,23.670114,112.396864 +Medicago sativa,46.36,122.6 +Meizotropis buteiformis,0,0 +Melilotus albus,43.53333,124.83333 +Melilotus indicus,25.25,110.05 +Melilotus officinalis,40.33333,115.98333 +Mezoneuron cucullatum,21.892754,100.486472 +Mezoneuron enneaphyllum,23.9,106.61 +Millettia extensa,26.9,98.87 +Millettia pulchra,23.5,103 +Mimosa pudica,20.92,110.08 +Mimosa rubicaulis subsp. himalayana,43.15,81.12 +Moullava tortuosa,25.255089,110.050532 +Mucuna hainanensis subsp. multilamellata,23.127041,113.341527 +Mucuna macrocarpa,35.86,104.2 +Mucuna pruriens,18.3,109.38 +Neustanthus phaseoloides,23.315878,114.325081 +Ohwia caudata,32.083333,118.75 +Ormosia robusta,25.570755,115.785179 +Ototropis conferta,25.724363,100.118124 +Ototropis likabalia,25.724363,100.118124 +Ototropis multiflora,25.724363,100.118124 +Oxytropis avisoides,28.85,85.29 +Oxytropis baxoiensis,30.17,97.27 +Oxytropis biflora,36.28,79.98 +Oxytropis brevipedunculata,26.422222,110.5 +Oxytropis cachemiriana,32.49,80.09 +Oxytropis cinerascens,28.65,87.12 +Oxytropis coerulea,40.21,116.17 +Oxytropis deflexa,28.66,97.46 +Oxytropis densa,33.727778,99.350278 +Oxytropis densiflora,35.2,102.52 +Oxytropis densiflora var. multiramosa,35.2,102.52 +Oxytropis falcata,29.77,84.03 +Oxytropis gerzeensis,32.3,84.06 +Oxytropis glabra,38.78,101.08 +Oxytropis humifusa,30.47,91.09 +Oxytropis imbricata,47.31,130.28 +Oxytropis kansuensis,34.3989,100.261 +Oxytropis lapponica,42.6,85.5 +Oxytropis latialata,31.41,95.59 +Oxytropis lehmannii,30.29,81.17 +Oxytropis lhasaensis,29.73,90.98 +Oxytropis linearibracteata,31.88,93.78 +Oxytropis longialata,30.65,93.25 +Oxytropis malloryana,38.073254,104.69114 +Oxytropis melanocalyx,32.38,91.72 +Oxytropis microphylla,28.85,85.29 +Oxytropis mollis,28.37,90.75 +Oxytropis myriophylla,41.25,114.81 +Oxytropis ochrantha,35.84,104.11 +Oxytropis ochrocephala,31.39,100.67 +Oxytropis ochrolongibracteata,38.073254,104.69114 +Oxytropis parasericeopetala,29.1911,90.6093 +Oxytropis pauciflora,35.58,77.18 +Oxytropis platysema,33.43,101.48 +Oxytropis podoloba,47.31,130.28 +Oxytropis proboscidea,33.38,79.72 +Oxytropis pseudocoerulea,30.93,100.31 +Oxytropis pusilla,28.7,85.83 +Oxytropis qamdoensis,29.0758,99.9189 +Oxytropis qilianshanica,38.78,101.08 +Oxytropis qinghaiensis,35.0228,98.8606 +Oxytropis reniformis,31.03,92.47 +Oxytropis savellanica,32.2,96.48 +Oxytropis sericopetala,29.65,91.12 +Oxytropis sichuanica,31.7,94.97 +Oxytropis stracheyana,32,90 +Oxytropis subpodoloba,31.42,95.6 +Oxytropis tatarica,32,90 +Oxytropis thomsonii,30.65,97.57 +Oxytropis tragacanthoides,42.26,86.86 +Oxytropis tudanensis,38.073254,104.69114 +Oxytropis yunnanensis,34.1772,97.7686 +Pachyrhizus erosus,21.728569,101.58432 +Parkia timoriana,22.02,100.8 +Parochetus communis,25.2883,98.8125 +Peltophorum pterocarpum,21.660629,109.207449 +Phanera macrostachya,24.700001,105.224998 +Phanera ornata var. kerrii,18.249731,109.507052 +Phanera scandens,21.930504,101.254219 +Phanera vahlii,38.201958,101.955633 +Phaseolus vulgaris,26,98.65 +Phyllodium pulchellum,20.04,113.66 +Phyllolobium camptodontum,27.690106,100.758477 +Phyllolobium chapmanianum,40.642346,117.463749 +Phyllolobium donianum,27.98,87.13 +Phyllolobium heydei,33.2975,100.432 +Phyllolobium lasaense,29.75,91.47 +Phyllolobium milingense,29.7372,96.065 +Phyllolobium pastorium,29.72,98.45 +Phyllolobium prodigiosum,29.58,91.15 +Phyllolobium sanbilingense,27.82308,99.706013 +Phyllolobium tanguticum,33.0606,97.1428 +Phyllolobium tingriense,28.85,85.29 +Phyllolobium tribulifolium,31.1842,96.6053 +Piptanthus concolor,30.055305,101.96483 +Piptanthus nepalensis,35.86,104.2 +Piptanthus nepalensis var. leiocarpus,35.86,104.2 +Piptanthus nepalensis var. sericopetalus,35.86,104.2 +Piptanthus tomentosus,27.901974,99.638054 +Pisum sativum,29.016667,107 +Pithecellobium dulce,22.391288,106.817838 +Pleurolobus gangeticus,35.86,104.2 +Polhillides velutina,22.010392,107.325268 +Pongamia pinnata,23.12,113.34 +Pterolobium punctatum,35.86,104.2 +Pueraria bella,31.176247,121.532683 +Pueraria montana,31.176247,121.532683 +Pueraria montana var. lobata,24.466672,112.626493 +Pueraria montana var. thomsonii,35.86,104.2 +Puhuaea megaphylla,22.010889,100.79926 +Puhuaea sequax,35.86,104.2 +Rhynchosia himalensis,29.914155,102.234618 +Rhynchosia himalensis var. craibiana,29.914155,102.234618 +Robinia pseudoacacia,26.466667,111.316667 +Salweenia wardii,30.0521,96.919504 +Saraca asoca,23.12,104.7 +Senegalia caesia,23.65,113.67 +Senegalia catechu,21.9275,101.249722 +Senegalia megaladena,35.86,104.2 +Senegalia pennata,27.71,102.8 +Senegalia pruinescens,35.86,104.2 +Senegalia rugata,27.339245,103.714017 +Senna 脳 floribunda,23.12,113.34 +Senna alata,22.84,115.35 +Senna occidentalis,23.8,111.87 +Senna tora,23.17,113.36 +Sesbania bispinosa,24.388378,106.006265 +Shuteria vestita,24.6961,98.8136 +Smithia ciliata,35.86,104.2 +Smithia grandis,35.86,104.2 +Smithia sensitiva,25.167046,116.193497 +Sohmaea laxiflora,35.86,104.2 +Sophora benthamii,29.32,95.33 +Sophora davidii,39.535776,116.113141 +Sophora davidii var. chuansiensis,31.44445,102.288749 +Sophora moorcroftiana,29.7209,91.1071 +Sophora moorcroftiana f. albiflora,29.7209,91.1071 +Stracheya tibetica,33.0714,96.8428 +Styphnolobium japonicum,43.80957,87.605583 +Sunhangia calliantha,27.2536,100.153 +Sunhangia elegans,29.9425,101.018 +Sunhangia elegans var. handelii,28.46222,98.79972 +Sunhangia stenophylla,25.288611,98.8125 +Sunhangia yunnanensis,35.86,104.2 +Tamarindus indica,20.44,110.2 +Tateishia concinna,24.68123,105.334672 +Tephrosia candida,21.53,109.32 +Thermopsis alpina,35.83,78 +Thermopsis alpina var. licentiana,27.82308,99.706013 +Thermopsis barbata,27.450943,99.822693 +Thermopsis barbata f. chrysanthus,28.85,85.3 +Thermopsis inflata,32,90 +Thermopsis lanceolata,28.6,86.5 +Thermopsis lupinoides,30.561162,114.381419 +Thermopsis przewalskii,27.450943,99.822693 +Thermopsis smithiana,30.05389,101.95667 +Tibetia forrestii,27.82308,99.706013 +Tibetia himalaica,30.055305,101.96483 +Tibetia tongolensis,27.449234,99.822273 +Tibetia yadongensis,27.1598,101.273 +Tibetia yunnanensis,27.931559,99.614517 +Tibetia yunnanensis var. coelestis,30.05,101.96 +Toxicopueraria peduncularis,28.66,97.46 +Trifolium pratense,29.68,115.98 +Trifolium repens,31.9,120.27 +Trigonella cachemiriana,37.311111,75.420547 +Trigonella emodi,28.85,85.29 +Trigonella fimbriata,28.85,85.3 +Trigonella foenum-graecum,33.068384,107.031898 +Trigonella gracilis,28.48611,98.911543 +Uraria clarkei,35.86,104.2 +Uraria crinita,22.642184,114.390483 +Uraria lacei,35.86,104.2 +Uraria lagopus,23.9022,106.618742 +Uraria oblonga,25.258611,98.845556 +Uraria rufescens,18.252625,109.511923 +Vicia amoena,33.000556,97.328889 +Vicia angustifolia,35.86,104.2 +Vicia bakeri,32.9,101.7 +Vicia bungei,30.855278,102.520278 +Vicia cracca,29.7547,91.9375 +Vicia faba,30.553863,114.316006 +Vicia hirsuta,32.055645,118.797741 +Vicia lens,28.312222,98.871667 +Vicia megalotropis,31.80612,98.580912 +Vicia multicaulis,38.798957,113.432164 +Vicia nummularia,28.6003,100.287 +Vicia sativa,35.86,104.2 +Vicia tibetica,35.86,104.2 +Vicia unijuga,43.5,116.816667 +Vigna aconitifolia,26.11116,99.951049 +Vigna angularis,25.275367,103.003972 +Vigna clarkei,35.3558,99.1339 +Vigna hirtella,29.32,95.33 +Vigna trilobata,27.928607,101.279419 +Vigna umbellata,32.055645,118.797741 +Vigna unguiculata,22.823037,108.373351 +Zornia gibbosa,22.604825,114.032681 +Polygala arillata,35.86,104.2 +Polygala bomiensis,30.4578,100.302 +Polygala crotalarioides,28.85,85.29 +Polygala elegans,28.85,85.3 +Polygala erioptera,25.13,108 +Polygala furcata,43.85,127.637 +Polygala globulifera,25.13,115.39 +Polygala globulifera var. longiracemosa,35.86,104.2 +Polygala karensium,22.914167,103.699722 +Polygala lhunzeensis,28.599445,93.40389 +Polygala longifolia,24.68123,105.334672 +Polygala monopetala,31.5978,100.367 +Polygala persicariifolia,25.46,105.28 +Polygala sibirica,25.04916,101.6975 +Polygala tatarinowii,35.86,104.2 +Polygala tenuifolia,44.609,129.858 +Polygala triflora,19.967153,110.390625 +Polygala wattersii,31.331599,110.783718 +Salomonia cantoniensis,22.308333,111.1025 +Salomonia ciliata,25.9625,98.8261 +Securidaca inappendiculata,22.69,112.22 +Xanthophyllum burkillii,18.753194,108.923731 +Xanthophyllum flavescens,21.919623,101.27736 +Xanthophyllum griffithii,18.753194,108.923731 +Acomastylis elata,26.537043,99.905548 +Acomastylis elata var. humilis,26.537043,99.905548 +Acomastylis macrosepala,28,91.95 +Agrimonia pilosa,35.86,104.2 +Agrimonia pilosa var. nepalensis,27.7386,98.3489 +Alchemilla glabra,47.85,88.13 +Alchemilla gracilis,27.82308,99.706013 +Alchemilla japonica,44.157024,87.987324 +Argentina anserina,41.785,100.576 +Argentina aristata,28.85,85.29 +Argentina contigua,0,0 +Argentina glabriuscula,0,0 +Argentina glabriuscula var. oligandra,0,0 +Argentina gracilescens,45.7,87.5 +Argentina interrupta,28.37,87.77 +Argentina leuconota,29.67,102.62 +Argentina leuconota var. brachyphyllaria,31.712092,88.118532 +Argentina lineata,25.67,100.13 +Argentina luteopilosa,28.48611,98.911543 +Argentina micropetala,27.78,99.7 +Argentina microphylla,28.12,91.9 +Argentina peduncularis,35.86,104.2 +Argentina phanerophlebia,25.869611,102.593465 +Argentina polyphylla,29.32,95.33 +Argentina songzhuensis,41.785,100.576 +Argentina stenophylla,30.533333,101.616667 +Argentina stenophylla var. emergens,29.000343,101.507299 +Argentina tapetodes,27.928236,91.879494 +Argentina turfosa,29.32,95.33 +Aruncus gombalanus,35.86,104.2 +Aruncus sylvester,34.56,110.09 +Chaenomeles cathayensis,23.693888,100.633155 +Chaenomeles japonica,30.710589,104.088668 +Chaenomeles speciosa,35.86,104.2 +Chaenomeles thibetica,30.1023,95.1115 +Chamaecallis perpusilloides,35.86,104.2 +Chamaerhodos sabulosa,32.49,80.09 +Coluria longifolia,34.6333,99.7333 +Cotoneaster acuminatus,31.81,99.72 +Cotoneaster acutifolius,32.2997,96.5414 +Cotoneaster acutifolius var. villosulus,39.879848,114.630747 +Cotoneaster adpressus,35.86,104.2 +Cotoneaster affinis,28.4322,85.2589 +Cotoneaster ataensis,27.81861,99.70027 +Cotoneaster bacillaris,30.3,118.13 +Cotoneaster bullatus,28.9164,102.216 +Cotoneaster buxifolius,35.86,104.2 +Cotoneaster buxifolius var. marginatus,27.461944,100.106389 +Cotoneaster buxifolius var. rockii,27.461944,100.106389 +Cotoneaster capsicinus,27.81861,99.70027 +Cotoneaster conspicuus,28.66,97.46 +Cotoneaster dammeri,27.44164,104.873643 +Cotoneaster dielsianus,28.1031,98.3264 +Cotoneaster dielsianus var. elegans,29.496119,103.398589 +Cotoneaster divaricatus,36.519977,103.891767 +Cotoneaster foveolatus,32.637983,103.59895 +Cotoneaster franchetii,35.86,104.2 +Cotoneaster frigidus,27.48,88.9 +Cotoneaster glomerulatus,28.661276,97.466916 +Cotoneaster gracilis,29.5,110.333333 +Cotoneaster harrysmithii,30.91,102.54 +Cotoneaster hebephyllus,33.31033,108.314391 +Cotoneaster horizontalis,34.5,105.833333 +Cotoneaster kingdonii,35.86,104.2 +Cotoneaster microphyllus,27.129162,100.23555 +Cotoneaster microphyllus var. cochleatus,27.129162,100.23555 +Cotoneaster microphyllus var. glacialis,27.129162,100.23555 +Cotoneaster microphyllus var. thymifolius,40.02,116.21 +Cotoneaster moupinensis,35.86,104.2 +Cotoneaster multiflorus,34.683333,100.683333 +Cotoneaster multiflorus var. atropurpureus,29.85,95.76 +Cotoneaster nitidus,25.36,98.72 +Cotoneaster obscurus,26.8,100.2667 +Cotoneaster pannosus,28.661276,97.466916 +Cotoneaster poluninii,29.05,92.38 +Cotoneaster reticulatus,30.06,102.75 +Cotoneaster rotundifolius,31.4972,99.9925 +Cotoneaster rubens,28.491111,98.939722 +Cotoneaster sanguineus,28.85,85.29 +Cotoneaster shannanensis,28.48611,98.911543 +Cotoneaster sherriffii,28.48611,98.911543 +Cotoneaster simonsii,25.76416,99.10694 +Cotoneaster soongoricus,35.20256,102.521732 +Cotoneaster submultiflorus,29.9719,95.3647 +Cotoneaster taylorii,29.033333,93.216667 +Cotoneaster tenuipes,32.080278,97.02 +Cotoneaster tsarongensis,28.666667,98.25 +Cotoneaster verruculosus,25.9739,98.685 +Cotoneaster wardii,27.099444,98.872222 +Dasiphora arbuscula,30.3,90.62 +Dasiphora dryadanthoides,28.7742,86.2194 +Dasiphora fruticosa,36.519977,103.891767 +Dasiphora glabra,34.75,100.22 +Dasiphora mandshurica,28.649583,98.615833 +Dasiphora parvifolia,36.63,101.17 +Dasiphora spectabilis,36.519977,103.891767 +Docynia indica,26.58,101.71 +Dryadanthe pentaphylla,25.166111,116.193611 +Dryadanthe tetrandra,42.6,85.5 +Duchesnea chrysantha,31.82,108.62 +Duchesnea indica,29.9356,112.018 +Duchesnea indica var. microphylla,29.85,95.76 +Eriobotrya elliptica,29.32,95.33 +Fragaria daltoniana,25.98181,98.683914 +Fragaria gracilis,35.86,104.2 +Fragaria moupinensis,35.86,104.2 +Fragaria nilgerrensis,35.86,104.2 +Fragaria nubicola,28.85,85.29 +Fragaria orientalis,32.085556,97.011944 +Fragaria pentaphylla,31.87,99.12 +Fragaria tibetica,27.96667,87.2 +Fragaria vesca,33.97,107.24 +Fragariastrum articulatum,28.85,85.29 +Fragariastrum biflorum,29.42,111.13 +Fragariastrum eriocarpum,29.665565,98.338723 +Geum aleppicum,27.93009,99.615288 +Geum japonicum var. chinense,29.496119,103.398589 +Malus baccata,27.791981,106.40115 +Malus bhutanica,31.90833,102.21667 +Malus hupehensis,35.86,104.2 +Malus ombrophila,35.86,104.2 +Malus pumila,33.081569,107.045478 +Malus rockii,35.86,104.2 +Malus sikkimensis,26.876096,100.229945 +Malus spectabilis,38.590879,108.846037 +Malus spectabilis var. riversii,38.590879,108.846037 +Malus transitoria,31.80612,98.580912 +Malus transitoria var. glabrescens,31.2603,96.865 +Malus yunnanensis,35.86,104.2 +Malus yunnanensis var. veitchii,31.042327,110.340757 +Micromeles cuspidata,41.241126,125.241448 +Neillia affinis,36.519977,103.891767 +Neillia densiflora,27.48,88.9 +Neillia grandiflora,27.448875,99.823532 +Neillia rubiflora,25.5167,100.2 +Neillia serratisepala,35.86,104.2 +Neillia thibetica,27.448875,99.823532 +Neillia thyrsiflora,35.86,104.2 +Neillia thyrsiflora var. tunkinensis,29.85,95.76 +Osteomeles schwerinae,24.9936,102.459 +Osteomeles schwerinae var. microphylla,33.976111,103.514167 +Photinia beauverdiana,36.519977,103.891767 +Photinia griffithii,27.6942,98.3197 +Photinia integrifolia,24.976725,101.487417 +Photinia megaphylla,29.32,95.33 +Photinia prunifolia,29.15,112.5 +Potentilla articulata var. latipetiolata,29.89,91.26 +Potentilla atrosanguinea,43.15,81.12 +Potentilla atrosanguinea var. argyrophylla,31.47,79.8 +Potentilla biflora var. lahulensis,32.637983,103.59895 +Potentilla bifurca var. humilior,32.9222,97.2917 +Potentilla bryoides,21.48,101.57 +Potentilla chinensis,32.094444,97.266667 +Potentilla compacta,29.734722,100.4975 +Potentilla conferta,38.93,100.46 +Potentilla conferta var. trijuga,29.85,95.76 +Potentilla coriandrifolia,28.5858,99.8372 +Potentilla coriandrifolia var. dumosa,29.63,94.36 +Potentilla crenulata,27.2822,100.85195 +Potentilla cuneata,35.86,104.2 +Potentilla delavayi,28.85,85.29 +Potentilla eriocarpa var. tsarongensis,24.8308,98.7678 +Potentilla gelida,36.519977,103.891767 +Potentilla glabra var. veitchii,28.48611,98.911543 +Potentilla granulosa,31.80612,98.580912 +Potentilla griffithii,24.976725,101.487417 +Potentilla griffithii var. velutina,29.63,94.36 +Potentilla hypargyrea,35.86,104.2 +Potentilla hypargyrea var. subpinnata,35.86,104.2 +Potentilla kleiniana,35.86,104.2 +Potentilla lancinata,29.000343,101.507299 +Potentilla longifolia,44.609,129.858 +Potentilla macrosepala,27.82308,99.706013 +Potentilla monanthes var. sibthorpioides,27.2,109.83 +Potentilla multicaulis,36.519977,103.891767 +Potentilla multiceps,37.62,78.28 +Potentilla multifida,32.280833,96.463056 +Potentilla multifida var. minor,36.67,114.06 +Potentilla multifida var. ornithopoda,39,112.3 +Potentilla nepalensis,40.02,116.21 +Potentilla nervosa,43.15,81.12 +Potentilla nivea,38.79,113.43 +Potentilla pamiroalaica,37.636262,75.507662 +Potentilla parvifolia var. hypoleuca,36.519977,103.891767 +Potentilla peduncularis var. abbreviata,31.712092,88.118532 +Potentilla plumosa,28.61833,98.88361 +Potentilla potaninii,32.094444,97.266667 +Potentilla potaninii var. compsophylla,29.1411,99.9644 +Potentilla saundersiana,34.633333,99.733333 +Potentilla saundersiana var. caespitosa,29.3858,100.149 +Potentilla saundersiana var. jacquemontii,28.661276,97.466916 +Potentilla saundersiana var. subpinnata,28.48611,98.911543 +Potentilla sericea,46.74,82.97 +Potentilla sericea var. polyschista,28.55,89.68 +Potentilla squalida,35.35,98.316667 +Potentilla stipitata,29.32,89.95 +Potentilla sundaica,36.37564,120.68099 +Potentilla supina,35.86,104.2 +Potentilla xizangensis,29.63,94.36 +Pourthiaea arguta,35.86,104.2 +Prinsepia utilis,33.06748,107.023323 +Prunus arborea var. montana,29.516,103.334 +Prunus armeniaca,42.6,85.5 +Prunus armeniaca var. holosericea,28.66,97.46 +Prunus avium,39.62,119.05 +Prunus buergeriana,29.679788,121.017356 +Prunus caudata,28.3,98.45 +Prunus cerasifera,30.561162,114.381419 +Prunus cerasoides,35.86,104.2 +Prunus ceylanica,21.53,107.97 +Prunus clarofolia,35.86,104.2 +Prunus conadenia,31.824099,108.629497 +Prunus cornuta,29.496119,103.398589 +Prunus crataegifolia,27.42,101.5 +Prunus davidiana,40.514908,115.829803 +Prunus discadenia,28.48611,98.911543 +Prunus gongshanensis,31.712092,88.118533 +Prunus gyirongensis,28.85,85.29 +Prunus himalayana,25.545,98.219167 +Prunus hypoleuca,38.201958,101.955633 +Prunus hypoxantha,30.511499,103.481974 +Prunus laurocerasus,29.990847,109.484961 +Prunus mira,29.67,91.07 +Prunus mugus,27.21,98.7 +Prunus mume,22.627814,114.319204 +Prunus napaulensis,25.8333,99.9833 +Prunus obtusata,32.9,104.33 +Prunus persica,31.6536,108.749 +Prunus phaeosticta,36.519977,103.891767 +Prunus pseudocerasus,33.081569,107.045478 +Prunus rufa,28.53,85.27 +Prunus salicina,33.9689,105.524 +Prunus serrula,31.0578,99.1033 +Prunus tomentosa,32.15,97.045 +Prunus trichantha,28.85,85.29 +Prunus trichostoma,35.86,104.2 +Prunus undulata,24.466672,112.626493 +Prunus yaoiana,24.976725,101.487417 +Pygeum wilsonii,35.86,104.2 +Pyracantha angustifolia,35.86,104.2 +Pyracantha crenulata,31.370137,109.629918 +Pyracantha fortuneana,27.74166,98.6675 +Pyrus betulifolia,36.30355,120.54013 +Pyrus pashia,35.86,104.2 +Pyrus ussuriensis,44.086,128.867 +Pyrus xerophila,34.30417,106.2075 +Rhaphiolepis bengalensis,28.05,98.59 +Rhaphiolepis dubia,26.466667,111.316667 +Rhaphiolepis petiolata,26.466667,111.316667 +Rhaphiolepis tengyuehensis,35.86,104.2 +Rhaphiolepis williamtelliana,28.85,85.29 +Rosa brunonii,28.451836,119.916426 +Rosa chinensis var. spontanea,25.150199,102.079017 +Rosa duplicata,28.66,97.46 +Rosa filipes,36.519977,103.891767 +Rosa forrestiana,31.7061,102.314 +Rosa glomerata,30.06,102.75 +Rosa graciliflora,32.710278,97.419722 +Rosa hybrida,24.57,118.1 +Rosa leschenaultiana,44.609,130.332 +Rosa macrophylla,29.85,95.76 +Rosa macrophylla var. glandulifera,27.48,88.9 +Rosa mairei,27.928607,101.279419 +Rosa moyesii,30.055305,101.96483 +Rosa murielae,30.368117,102.81464 +Rosa omeiensis,30.268237,94.818009 +Rosa roxburghii,27.080633,100.261093 +Rosa sericea,27.129564,100.234131 +Rosa sertata,29.5,110.333333 +Rosa sikangensis,29.0758,99.9189 +Rosa soulieana,31.9822,100.964 +Rosa soulieana var. microphylla,30.05,96.91 +Rosa soulieana var. sungpanensis,32.637983,103.59895 +Rosa soulieana var. yunnanensis,28.9403,102.103 +Rosa sweginzowii,27.6146,99.7127 +Rosa sweginzowii var. glandulosa,35.86,104.2 +Rosa sweginzowii var. inermis,30.055305,101.96483 +Rosa taronensis,29.65,91.12 +Rosa tibetica,29.85,95.76 +Rosa webbiana,30.29,81.17 +Rosa willmottiae,27.928607,101.279419 +Rosa willmottiae var. glandulifera,24.706769,102.928677 +Rosa zhongdianensis,27.82308,99.706013 +Rubus acuminatus,25.03,98.68 +Rubus alceifolius,21.957355,100.452547 +Rubus alexeterius,26.876096,100.229945 +Rubus alexeterius var. acaenocalyx,29.65,91.12 +Rubus assamensis,35.86,104.2 +Rubus aurantiacus,32.06,108.04 +Rubus austrotibetanus,35.86,104.2 +Rubus biflorus,27.51667,99.5 +Rubus biflorus var. adenophorus,28.85,85.29 +Rubus biflorus var. pubescens,27.42,101.5 +Rubus birmanicus,27.798,98.583 +Rubus burkillii,34.3108,99.1814 +Rubus calophyllus,23.160603,106.288701 +Rubus calycinus,35.86,104.2 +Rubus cockburnianus,35.86,104.2 +Rubus columellaris,25.71667,108.71667 +Rubus efferatus,35.86,104.2 +Rubus ellipticus,35.86,104.2 +Rubus ellipticus var. obcordatus,35.86,104.2 +Rubus erythrocarpus,35.86,104.2 +Rubus fairholmianus,38.073254,104.69114 +Rubus flosculosus,29.5864,102.028 +Rubus fockeanus,30.559627,114.322539 +Rubus franchetianus var. pubescens,35.86,104.2 +Rubus ghanakantae,38.073254,104.69114 +Rubus gyamdaensis,30.36,102.81 +Rubus hamiltonii,19.983333,110.583333 +Rubus haridasanii,38.073254,104.69114 +Rubus hexagynus,25.13,113.35 +Rubus hypopitys,35.86,104.2 +Rubus hypopitys var. hanmiensis,29.32,95.33 +Rubus idaeopsis,35.86,104.2 +Rubus innominatus,29.955836,118.248811 +Rubus innominatus var. kuntzeanus,24.813781,113.184435 +Rubus inopertus,35.86,104.2 +Rubus insignis,29.138215,115.982136 +Rubus irritans,29.63,94.36 +Rubus kumaonensis,28.66,97.46 +Rubus lineatus,27.7231,98.5869 +Rubus lucens,21.475834,101.56752 +Rubus macilentus,30.36,102.81 +Rubus maershanensis,27.03332,100.17733 +Rubus mesogaeus,31.243526,103.83556 +Rubus metoensis,29.32,95.33 +Rubus naruhashii,38.073254,104.69114 +Rubus niveus,31.66667,110.6 +Rubus nyalamensis,28.65,87.12 +Rubus ovatisepalus,38.073254,104.69114 +Rubus paniculatus,25.5031,99.6342 +Rubus pectinarioides,35.86,104.2 +Rubus pectinaris,35.86,104.2 +Rubus pedunculosus,29.0758,99.9189 +Rubus pentagonus,27.6292,98.6292 +Rubus ptilocarpus,30.1469,101.86 +Rubus pungens,31.66667,110.6 +Rubus quinquefoliolatus,25.13,105.39 +Rubus ramachandrae,38.073254,104.69114 +Rubus rosifolius,30.08333,118.56667 +Rubus sengorensis,38.073254,104.69114 +Rubus setchuenensis,28.94,102.249 +Rubus sikkimensis,30.2,99.42 +Rubus splendidissimus,23.155277,113.36139 +Rubus stans,26.876096,100.229945 +Rubus stans var. soulieanus,28.66,97.46 +Rubus stimulans,35.86,104.2 +Rubus subinopertus,35.86,104.2 +Rubus subornatus,28.94,102.2489 +Rubus sumatranus,35.86,104.2 +Rubus taronensis,28.1147,98.3164 +Rubus treutleri,23.763342,98.82524 +Rubus trianthus,36.519977,103.891767 +Rubus trijugus,27.42,101.5 +Rubus wallichianus,27.9527,98.327797 +Rubus wardii,35.86,104.2 +Sanguisorba diandra,28.12,85.99 +Sanguisorba filiformis,30,94.22 +Sanguisorba officinalis,46.45,122.93 +Sibbaldia aphanopetala,35.86,104.2 +Sibbaldia cuneata,27.794315,99.587143 +Sibbaldia procumbens,36.519977,103.891767 +Sibbaldia purpurea,35.86,104.2 +Sibbaldia purpurea var. macropetala,29.914155,102.234618 +Sibbaldianthe adpressa,32.9256,97.2661 +Sibbaldianthe bifurca,34.1772,97.7686 +Sibiraea angustata,31.7,94.52 +Sibiraea laevigata,36.4,99.95 +Sorbaria arborea,28.393333,98.794167 +Sorbaria arborea var. subtomentosa,30.0092,94.9669 +Sorbaria kirilowii,29.8906,93.6564 +Sorbus albopilosa,27.48,88.9 +Sorbus alnifolia,43.896,126.921 +Sorbus astateria,35.86,104.2 +Sorbus coronata,35.86,104.2 +Sorbus coronata var. glabrescens,29.32,95.33 +Sorbus doshonglaensis,29.22,94.22 +Sorbus filipes,29.65,91.12 +Sorbus foliolosa,29.32,95.33 +Sorbus gongshanensis,28.007833,98.518361 +Sorbus griffithii,22.013258,100.787354 +Sorbus heseltinei,29.32,95.33 +Sorbus insignis,27.748038,103.891354 +Sorbus keissleri,24.8308,98.7678 +Sorbus kiukiangensis,27.7075,98.3939 +Sorbus kongboensis,28.7433,101.681 +Sorbus macallisteri,28.470833,98.788056 +Sorbus macrantha,26.3667,100.2167 +Sorbus megacarpa,21.929444,101.255476 +Sorbus microphylla,31.95,101.05 +Sorbus ochracea,24.580446,99.92854 +Sorbus oligodonta,35.86,104.2 +Sorbus pallescens,28.685449,103.676251 +Sorbus parvifructa,31.779167,110.518889 +Sorbus prattii,28.63611,98.66555 +Sorbus prattii var. aestivalis,28.63611,98.66555 +Sorbus pteridophylla,35.86,104.2 +Sorbus rehderiana,35.86,104.2 +Sorbus rehderiana var. cupreonitens,28.491111,98.939722 +Sorbus rehderiana var. grosseserrata,35.86,104.2 +Sorbus rufopilosa,35.86,104.2 +Sorbus rushforthii,28.470833,98.788056 +Sorbus subochracea,29.32,95.33 +Sorbus thibetica,28.1775,98.786389 +Sorbus thomsonii,23.519195,110.462487 +Sorbus vestita,35.86,104.2 +Sorbus vilmorinii,35.86,104.2 +Sorbus wilsoniana,26.00537,110.599945 +Sorbus zayuensis,28.66,97.46 +Spenceria ramalana,30.055305,101.96483 +Spenceria ramalana var. parviflora,29.7475,98.5864 +Spiraea alpina,34.594167,99.839167 +Spiraea arcuata,29.58,95 +Spiraea bella,27.128635,100.23114 +Spiraea bella var. pubicarpa,28.85,85.29 +Spiraea canescens,29.6,91.15 +Spiraea canescens var. glaucophylla,28.66,97.46 +Spiraea cantoniensis,30.553863,114.316005 +Spiraea expansa,29.95,122.3 +Spiraea japonica,31.07,103.33 +Spiraea japonica var. acuminata,35.86,104.2 +Spiraea japonica var. ovalifolia,35.86,104.2 +Spiraea japonica var. pinnatifida,35.86,104.2 +Spiraea laeta var. tenuis,31.084,103.267 +Spiraea lasiocarpa,31.79,115.4 +Spiraea lobulata,29.85,95.76 +Spiraea longigemmis,30.663372,113.166529 +Spiraea micrantha,28,91.95 +Spiraea mollifolia,31.57,100.72 +Spiraea mollifolia var. denudata,31.48,93.67 +Spiraea myrtilloides,30.511499,103.481974 +Spiraea ovalis,34.05,111.04 +Spiraea purpurea,25.6508,98.7322 +Spiraea schneideriana,35.86,104.2 +Spiraea schneideriana var. amphidoxa,29.1411,99.9283 +Spiraea subdioica,24.9,105.45 +Spiraea thibetica,29.68,89.09 +Spiraea vacciniifolia,40.02,116.21 +Spiraea velutina,29.9,94.87 +Spiraea velutina var. glabrescens,35.86,104.2 +Spiraea xizangensis,28.58,92.5 +Spiraea yunnanensis,24.976725,101.487417 +Stranvaesia nussia,26.56023,100.17643 +Thomsonaria verticillata,32,90 +Elaeagnus bockii var. muliensis,27.928607,101.279419 +Elaeagnus caudata,36.519977,103.891767 +Elaeagnus conferta,24.580446,99.92854 +Elaeagnus henryi,35.86,104.2 +Elaeagnus infundibularis,34.56,110.09 +Elaeagnus kanaii,36.519977,103.891767 +Elaeagnus lanceolata,26.466667,111.316667 +Elaeagnus lanpingensis,35.86,104.2 +Elaeagnus pyriformis,36.519977,103.891767 +Elaeagnus sarmentosa,23.012914,104.394161 +Elaeagnus umbellata,34.5,105.833333 +Elaeagnus xizangensis,29.63,94.36 +Hippophae gyantsensis,29.65,91.12 +Hippophae neurocarpa,34.556111,99.901667 +Hippophae rhamnoides,36.193333,100.715 +Hippophae rhamnoides subsp. sinensis,34.683333,100.683333 +Hippophae rhamnoides subsp. turkestanica,42.059792,86.574079 +Hippophae rhamnoides subsp. yunnanensis,35.86,104.2 +Hippophae salicifolia,28.2,90.82 +Hippophae tibetana,34.3575,100.256 +Berchemia edgeworthii,0,0 +Berchemia flavescens,29.58,94.92 +Berchemia floribunda,22.655294,114.304044 +Berchemia longipedicellata,29.85,95.76 +Berchemia medogensis,29.326875,95.328655 +Berchemia yunnanensis,36.519977,103.891767 +Frangula henryi,27.8986,98.3539 +Gouania leptostachya,22.06,106.86 +Hovenia acerba,23.100378,113.29413 +Hovenia acerba var. kiukiangensis,27.402909,102.17533 +Hovenia dulcis,30.544472,114.421525 +Paliurus ramosissimus,30.066708,102.758313 +Rhamnella forrestii,35.86,104.2 +Rhamnella gilgitica,28.48611,98.911543 +Rhamnella martini,29.914155,102.234618 +Rhamnella wilsonii,30.99903,102.364372 +Rhamnus dumetorum,35.86,104.2 +Rhamnus dumetorum var. crenoserrata,35.86,104.2 +Rhamnus flavescens,30.05,96.91 +Rhamnus gilgiana,28.66,97.46 +Rhamnus minuta,0,0 +Rhamnus napalensis,35.86,104.2 +Rhamnus parvifolia,43.916,127.666 +Rhamnus procumbens,28.85,85.29 +Rhamnus prostrata,31.47,79.8 +Rhamnus rosthornii,0,0 +Rhamnus sargentiana,35.86,104.2 +Rhamnus tangutica,29.914155,102.234618 +Rhamnus virgata,26.876096,100.229945 +Rhamnus virgata var. hirsuta,27.71,102.8 +Rhamnus xizangensis,0,0 +Sageretia filiformis,0,0 +Sageretia gracilis,24.9936,102.459 +Sageretia hamosa,30.911944,102.546111 +Sageretia horrida,28.7817,99.3075 +Sageretia paucicostata,30.4578,100.302 +Sageretia subcaudata,25.39996,112.948819 +Sageretia yunlongensis,26.095968,98.585365 +Ventilago denticulata,21.934011,101.260734 +Ventilago madraspatana,21.934011,101.260734 +Ziziphus apetala,22.02,100.8 +Ziziphus incurva,25.03,109.92 +Ziziphus jujuba var. inermis,24.813781,113.184435 +Ziziphus mauritiana,23.12,113.34 +Ziziphus montana,24.976725,101.487417 +Ziziphus oenopolia,22.06,106.86 +Ziziphus rugosa,18.62,109.7 +Ulmus androssowii var. subhirsuta,0,0 +Ulmus bergmanniana,35.86,104.2 +Ulmus bergmanniana var. lasiophylla,35.86,104.2 +Ulmus lanceifolia,25.2975,98.7953 +Ulmus microcarpa,28.66,97.46 +Ulmus pumila,43.80957,87.605583 +Zelkova schneideriana,32.19579,118.854276 +Cannabis sativa,30.368117,102.81464 +Celtis australis,35.651389,117.313056 +Celtis bungeana,31.3164,102.0006 +Celtis cerasifera,31.321335,110.746783 +Celtis sinensis,31.2,112.3 +Celtis tetrandra,35.86,104.2 +Celtis timorensis,29.32,95.33 +Celtis vandervoetiana,26.65,119.53 +Humulus scandens,41.881,126.38 +Trema angustifolia,25.664325,102.650987 +Trema levigata,25.9625,98.8261 +Trema orientalis,25.8568,118.80199 +Trema tomentosa,26.06139,119.30611 +Allaeanthus kurzii,35.86,104.2 +Artocarpus chama,22.529465,103.939279 +Artocarpus gomezianus,21.92,101.27 +Artocarpus heterophyllus,22.823037,108.373351 +Artocarpus lakoocha,23.763342,98.82524 +Broussonetia kaempferi,25.166111,116.193611 +Broussonetia kazinoki,23.351747,113.411891 +Broussonetia papyrifera,39.944625,116.393353 +Ficus abelii,24.983333,112.833333 +Ficus altissima,22.010889,100.79926 +Ficus auriculata,23.763342,98.82524 +Ficus benjamina,24.444935,118.066933 +Ficus carica,37.4003,78.742103 +Ficus concinna,21.992147,100.806427 +Ficus curtipes,22.01071,100.799775 +Ficus cyrtophylla,35.86,104.2 +Ficus drupacea var. pubescens,22.52,103.97 +Ficus elastica,26.076106,119.306406 +Ficus esquiroliana,35.86,104.2 +Ficus filicauda,22.01071,100.799775 +Ficus filicauda var. longipes,29.32,95.33 +Ficus fistulosa,29.15,112.5 +Ficus fulva,19.121187,109.083491 +Ficus gasparriniana,35.86,104.2 +Ficus gasparriniana var. laceratifolia,35.86,104.2 +Ficus geniculata,22.01071,100.799775 +Ficus glaberrima,23.258134,105.822072 +Ficus hederacea,35.86,104.2 +Ficus henryi,35.86,104.2 +Ficus heterophylla,18.626309,109.700342 +Ficus heteropleura,18.252625,109.511923 +Ficus hirta,21.68,101.31 +Ficus hispida,21.934011,101.260734 +Ficus hookeriana,21.965244,100.806937 +Ficus ischnopoda,35.86,104.2 +Ficus laevis,23.519195,110.462487 +Ficus lamponga,26.466667,111.316667 +Ficus langkokensis,21.934011,101.260734 +Ficus maclellandii,35.86,104.2 +Ficus microcarpa,29.976494,122.378869 +Ficus motuoensis,29.244431,95.175076 +Ficus neriifolia,35.86,104.2 +Ficus nervosa,23.160603,106.288701 +Ficus oligodon,35.86,104.2 +Ficus prostrata,35.86,104.2 +Ficus pubigera,22.653799,108.310905 +Ficus pubigera var. maliformis,29.32,95.33 +Ficus religiosa,23.763342,98.82524 +Ficus rigida,26.466667,111.316667 +Ficus rumphii,24.72,97.93 +Ficus sagittata,22.758186,108.487812 +Ficus sarmentosa,23.351747,113.411891 +Ficus sarmentosa var. henryi,35.86,104.2 +Ficus sarmentosa var. luducca,27.9067,98.6558 +Ficus sarmentosa var. nipponica,28.115802,119.573404 +Ficus semicordata,21.917,101.25 +Ficus simplicissima,18.252625,109.511923 +Ficus sinuata,19.189257,109.023831 +Ficus squamosa,22.697654,100.860736 +Ficus subincisa,22.010889,100.79926 +Ficus subulata,22.01071,100.799775 +Ficus tikoua,28.289694,99.433891 +Ficus tinctoria subsp. gibbosa,35.86,104.2 +Ficus virens,21.99259,100.806717 +Maclura amboinensis,23.125462,104.702829 +Maclura cochinchinensis,24.983333,112.833333 +Maclura fruticosa,23.880344,100.092755 +Morus alba,30.511499,103.481974 +Morus australis,33.03,108.24 +Morus macroura,25.984444,98.643889 +Morus mongolica,40.5,117.09 +Morus serrata,28.85,85.29 +Boehmeria bicuspis,28.66,97.46 +Boehmeria clidemioides,36.519977,103.891767 +Boehmeria clidemioides var. diffusa,35.86,104.2 +Boehmeria conica,29.32,95.33 +Boehmeria dolichostachya var. mollis,23.714836,102.491391 +Boehmeria glomerulifera,35.86,104.2 +Boehmeria hamiltoniana,24.615701,100.709787 +Boehmeria hengduanshanica,28.67,97.47 +Boehmeria japonica,36.519977,103.891767 +Boehmeria listeri,25.76416,99.10694 +Boehmeria macrophylla,36.519977,103.891767 +Boehmeria macrophylla var. rotundifolia,23.831362,108.785483 +Boehmeria macrophylla var. scabrella,23.351747,113.411891 +Boehmeria nivea,26.466667,111.316667 +Boehmeria penduliflora,24.976725,101.487417 +Boehmeria platanifolia,26.72,110.63 +Boehmeria polystachya,29.32,95.33 +Boehmeria tomentosa,24.580446,99.92854 +Chamabainia cuspidata,26.32496,114.514242 +Cypholophus moluccanus,19.92,109.68 +Debregeasia longifolia,24.276807,102.970004 +Debregeasia orientalis,24.68123,105.334672 +Debregeasia saeneb,28.85,85.29 +Dendrocnide sinuata,29.32,95.33 +Droguetia iners subsp. urticoides,24.8308,98.7678 +Elatostema acuminatum,18.252625,109.511923 +Elatostema aliferum,29.32,95.33 +Elatostema angustitepalum,29.32,95.33 +Elatostema arcuans,29.6,103.48 +Elatostema auriculatum,27.8947,98.6658 +Elatostema auriculatum var. strigosum,35.86,104.2 +Elatostema balansae,25.635742,109.592453 +Elatostema beibengense,29.32,95.33 +Elatostema boehmerioides,29.32,95.33 +Elatostema bomiense,29.7786,94.7247 +Elatostema cuneatum,29.32,95.33 +Elatostema cuneiforme,29.32,95.33 +Elatostema cuneiforme var. gracilipes,29.32,95.33 +Elatostema cuspidatum,35.86,104.2 +Elatostema decipiens,25.66667,98.75 +Elatostema didymocephalum,29.32,95.33 +Elatostema dingjieense,28,91.95 +Elatostema dissectoides,35.86,104.2 +Elatostema dissectum,22.464142,107.839351 +Elatostema eriocephalum,29.32,95.33 +Elatostema ficoides,29.49,103.39 +Elatostema furcatibracteum,25.66667,98.75 +Elatostema grandidentatum,29.16,107.1 +Elatostema gungshanense,35.86,104.2 +Elatostema hookerianum,24.8309,98.768 +Elatostema imbricans,29.32,95.33 +Elatostema integrifolium,18.516726,110.029085 +Elatostema laevissimum,24.813333,98.782778 +Elatostema latistipulum,25.66667,98.75 +Elatostema laxicymosum,29.32,95.33 +Elatostema lihengianum,35.86,104.2 +Elatostema lineolatum,24.186045,113.415062 +Elatostema lineolatum var. integrifolium,24.186045,113.415062 +Elatostema litseifolium,29.32,95.33 +Elatostema longicaudatum,25.39996,112.948819 +Elatostema macintyrei,25,107.04 +Elatostema medogense,29.32,95.33 +Elatostema monandrum,24.615701,100.709786 +Elatostema nasutum,35.86,104.2 +Elatostema nasutum var. ecorniculatum,27.798611,98.588889 +Elatostema nasutum var. puberulum,29.73797,103.231884 +Elatostema obtusum,23.310937,110.090325 +Elatostema papillosum,29.32,95.33 +Elatostema parvum var. brevicuspis,29.32,95.33 +Elatostema platyphyllum,35.86,104.2 +Elatostema procridioides,29.32,95.33 +Elatostema recticaudatum,29.32,95.33 +Elatostema rupestre,25.13,105.39 +Elatostema sessile,30.016667,109.716667 +Elatostema sikkimense,34.243065,102.296867 +Elatostema tenuicaudatoides,35.86,104.2 +Elatostema tenuicaudatum,24.388378,106.006265 +Elatostema tetratepalum,29.32,95.33 +Girardinia diversifolia,35.86,104.2 +Gonostegia hirta,30.0087,94.9578 +Gonostegia pentandra,23.9,106.61 +Gonostegia triandra,35.86,104.2 +Laportea bulbifera,43.815,127.972 +Laportea cuspidata,41.451,127.92 +Laportea lageensis,30.511499,103.481974 +Laportea medogensis,29.32,95.33 +Lecanthus peduncularis,35.86,104.2 +Lecanthus petelotii,28.0392,85.9825 +Lecanthus petelotii var. corniculata,29.32,95.33 +Lecanthus petelotii var. yunnanensis,35.86,104.2 +Maoutia puya,35.86,104.2 +Oreocnide frutescens,22.133056,107.717222 +Oreocnide frutescens subsp. occidentalis,35.86,104.2 +Oreocnide integrifolia,22.762995,107.112032 +Oreocnide obovata,24.392902,106.633387 +Parietaria micrantha,29.86,118.43 +Pilea angulata,25.75,105 +Pilea angulata subsp. petiolaris,26.43,110.85 +Pilea anisophylla,29.85,95.76 +Pilea approximata,27.48,88.9 +Pilea approximata var. incisoserrata,28.85,85.29 +Pilea aquarum,25.18,114.33 +Pilea auricularis,29.32,95.33 +Pilea boniana,23.9022,106.618742 +Pilea bracteosa,28.66,97.46 +Pilea glaberrima,35.86,104.2 +Pilea gongjueensis,43.852,127.679 +Pilea hilliana,25.7,104.46 +Pilea insolens,29.32,95.33 +Pilea japonica,27.9353,98.6508 +Pilea lageensis,43.852,127.679 +Pilea linearifolia,28.85,85.29 +Pilea longipedunculata,35.86,104.2 +Pilea macrocarpa,29.32,95.33 +Pilea martini,29.39,110.16 +Pilea medogensis,29.32,95.33 +Pilea melastomoides,29.32,95.33 +Pilea monilifera,29.39,110.16 +Pilea multicellularis,35.86,104.2 +Pilea myriantha,25.703422,100.134946 +Pilea oxyodon,29.32,95.33 +Pilea peltata,23.65,113.67 +Pilea pseudonotata,25.2975,98.7953 +Pilea pumila,27.39,114.61 +Pilea racemosa,29.22,91.77 +Pilea scripta,28.85,85.29 +Pilea semisessilis,35.86,104.2 +Pilea squamosa,29.32,95.33 +Pilea symmeria,28.36,87.76 +Pilea ternifolia,28,91.95 +Pilea umbrosa,35.86,104.2 +Pilea yadongensis,29.936,90.813 +Poikilospermum lanceolatum,29.32,95.33 +Poikilospermum naucleiflorum,29.32,95.33 +Poikilospermum suaveolens,22.983563,103.687613 +Pouzolzia calophylla,28.66,97.46 +Pouzolzia frondosa,28.66,97.46 +Pouzolzia rugulosa,35.86,104.2 +Pouzolzia sanguinea,35.86,104.2 +Pouzolzia sanguinea var. elegans,27.82308,99.706013 +Pouzolzia zeylanica,35.86,104.2 +Procris crenata,25.305,98.79 +Sarcochlamys pulcherrima,35.86,104.2 +Urtica dioica,29.74,91.11 +Urtica dioica subsp. afghanica,32.49,80.09 +Urtica fissa,30.221249,120.122664 +Urtica hyperborea,34.177222,97.768611 +Urtica laetevirens,30.0058,93.9231 +Urtica mairei,35.86,104.2 +Urtica membranifolia,27.48,88.9 +Urtica triangularis,32.091111,97.271667 +Urtica triangularis subsp. pinnatifida,28.48611,98.911543 +Urtica urens,27.48,88.9 +Castanea mollissima,21.729161,101.582407 +Castanopsis argyrophylla,25.39,112.94 +Castanopsis armata,27.92028,108.69028 +Castanopsis calathiformis,21.941271,101.255528 +Castanopsis castanicarpa,21.737618,101.581019 +Castanopsis ceratacantha,24.9222,98.6328 +Castanopsis clarkei,22.010889,100.79926 +Castanopsis echidnocarpa,35.86,104.2 +Castanopsis echinocarpa,21.68,101.42 +Castanopsis ferox,29.32,95.33 +Castanopsis hystrix,26.466667,111.316667 +Castanopsis indica,21.919547,101.277187 +Castanopsis lanceifolia,21.737618,101.581019 +Castanopsis longispina,29.32,95.33 +Castanopsis pathakii,21.737618,101.581019 +Castanopsis purpurella,26.34971,111.07749 +Castanopsis rockii,23.27,105.783167 +Castanopsis tribuloides,29.32,95.33 +Castanopsis wattii,24.53,101.02 +Cyclobalanopsis macrocalyx,35.86,104.2 +Lithocarpus arcaulus,22.01071,100.799775 +Lithocarpus collettii,29.32,95.33 +Lithocarpus dealbatus,35.86,104.2 +Lithocarpus fenestratus,35.86,104.2 +Lithocarpus grandifolius,35.86,104.2 +Lithocarpus kamengii,24.983333,112.833333 +Lithocarpus laoticus,22.792186,103.086573 +Lithocarpus listeri,29.32,95.33 +Lithocarpus obscurus,29.32,95.33 +Lithocarpus pachyphyllus,29.32,95.33 +Lithocarpus pasania,39.441455,106.891426 +Lithocarpus pseudoxizangensis,24.983333,112.833333 +Lithocarpus thomsonii,35.86,104.2 +Lithocarpus truncatus,21.941271,101.255528 +Lithocarpus variolosus,25.7,100.1 +Lithocarpus wrayi,24.983333,112.833333 +Lithocarpus xizangensis,29.32,95.33 +Lithocarpus xylocarpus,24.913958,100.31089 +Quercus acrodonta,23.997769,105.159356 +Quercus acutissima,31.22222,121.45806 +Quercus annulata,28,91.95 +Quercus aquifolioides,27.08493,100.263008 +Quercus baloot,42.998333,126.866112 +Quercus engleriana,30.511499,103.481974 +Quercus fleuryi,35.86,104.2 +Quercus gambleana,29.02,107.19 +Quercus glauca,22.653799,108.310905 +Quercus glaucoides,25.22,98.58 +Quercus griffithii,25.6,110.58 +Quercus guyavifolia,27.03,100.23 +Quercus helferiana,21.957355,100.452547 +Quercus kamroopii,42.998333,126.866112 +Quercus kiukiangensis,35.86,104.2 +Quercus lamellosa,26.901731,98.869207 +Quercus lanata,30,94.88 +Quercus lodicosa,29.32,95.33 +Quercus longispica,27.82308,99.706013 +Quercus motuoensis,29.32,95.33 +Quercus myrsinifolia,27.740736,98.66582 +Quercus oxyodon,35.86,104.2 +Quercus pannosa,28.66,97.46 +Quercus rehderiana,26.75,100 +Quercus rex,22.01071,100.799775 +Quercus semecarpifolia,30.055305,101.96483 +Quercus semiserrata,23.096289,113.290066 +Quercus senescens,25.275367,103.003972 +Quercus spinosa,25.841921,98.857727 +Quercus thomsoniana,29.32,95.33 +Quercus variabilis,32.055645,118.797741 +Morella esculenta,27.4433,98.8197 +Morella nana,25.32,100.93 +Engelhardia roxburghiana,23.382333,114.787333 +Engelhardia spicata,26.534082,100.42293 +Engelhardia spicata var. aceriflora,24.8047,98.7947 +Juglans regia,39.9852,116.034 +Juglans sigillata,26.876096,100.229945 +Alnus nepalensis,35.86,104.2 +Betula alnoides,35.86,104.2 +Betula ashB?rneri,28.68,93.254 +Betula calcicola,28.713041,99.286333 +Betula cylindrostachya,35.86,104.2 +Betula delavayi,25,102 +Betula delavayi var. microstachya,28.66,97.46 +Betula pendula subsp. szechuanica,30.045208,101.965935 +Betula platyphylla,32.746389,97.347222 +Betula potaninii,30.5,102.5 +Betula utilis,32.080278,97.02 +Carpinus mollicoma,29.496119,103.398589 +Carpinus monbeigiana,28.04,98.6 +Carpinus tibetana,30.898542,102.914944 +Carpinus viminea,36.519977,103.891767 +Corylus ferox,27.8,98.56666 +Corylus ferox var. thibetica,31.824099,108.629497 +Coriaria nepalensis,26.993353,100.194626 +Coriaria terminalis,27.740736,98.66582 +Actinostemma tenerum,30.247126,120.144424 +Baijiania decipiens,22.01071,100.799775 +Benincasa hispida,22.81352,113.460306 +Citrullus lanatus,29.95,122.3 +Cucumis melo,39.95,117.01 +Cucumis sativus,24.615701,100.709787 +Cucurbita maxima,31.662505,120.833688 +Cucurbita moschata,24.78,110.48 +Cucurbita pepo,25.012526,102.700013 +Cyclanthera pedata,35.86,104.2 +Edgaria darjeelingensis,29.32,95.33 +Gomphogyne cissiformis,24.615701,100.709787 +Gynostemma pentaphyllum,30.051382,122.115193 +Hemsleya graciliflora,26.293056,110.789167 +Herpetospermum operculatum,29.565,94.5436 +Herpetospermum pedunculosum,28.48611,98.911543 +Hodgsonia heteroclita,21.92309,101.276001 +Hodgsonia tsaii,29.32,95.33 +Indofevillea khasiana,29.32,95.33 +Lagenaria siceraria,23.127041,113.341527 +Luffa acutangula,36.853662,81.667213 +Luffa aegyptiaca,30.559627,114.322539 +Momordica charantia,25.758375,110.120117 +Momordica cochinchinensis,35.86,104.2 +Momordica dioica,27.7386,98.3489 +Momordica subangulata,23.22,108.22 +Momordica subangulata subsp. renigera,27.770556,98.654444 +Mukia maderaspatana,24.93,105.84 +Neoalsomitra clavigera,29.32,95.33 +Schizopepon bicirrhosa,28,91.95 +Schizopepon bomiensis,29.32,95.33 +Schizopepon xizangensis,29.32,95.33 +Sechium edule,29.05,120.43 +Siraitia borneensis,18.252013,109.504134 +Solena delavayi,35.86,104.2 +Solena heterophylla,25.6333,100.167 +Solena heterophylla subsp. napaulensis,25.6333,100.167 +Thladiantha cordifolia,30.08,102.05 +Thladiantha grandisepala,35.86,104.2 +Thladiantha hookeri,35.86,104.2 +Thladiantha lijiangensis,30.1711,101.869 +Thladiantha medogensis,29.326875,95.328655 +Thladiantha nudiflora,29.5,110.333333 +Thladiantha setispina,30.055305,101.96483 +Thladiantha villosula,35.86,104.2 +Trichosanthes anguina,23.127041,113.341527 +Trichosanthes cordata,29.32,95.33 +Trichosanthes costata,22.944786,113.110313 +Trichosanthes cucumerina,23.763342,98.82524 +Trichosanthes cucumeroides,36.06667,120.33334 +Trichosanthes cucumeroides var. dicoelosperma,29.32,95.33 +Trichosanthes dioica,35.060556,117.436944 +Trichosanthes dunniana,35.86,104.2 +Trichosanthes lepiniana,35.86,104.2 +Trichosanthes quinquangulata,24.817222,98.887778 +Trichosanthes rubriflos,25.13,105.39 +Trichosanthes smilacifolia,29.32,95.33 +Trichosanthes tetragonosperma,23.125462,104.702829 +Trichosanthes tricuspidata,29.32,95.33 +Trichosanthes truncata,23.105855,107.067701 +Trichosanthes wallichiana,24.615701,100.709787 +Zehneria bodinieri,24.813473,98.83284 +Zehneria japonica,27.72892,98.359558 +Begonia aborensis,31.008694,103.608072 +Begonia acetosella,35.86,104.2 +Begonia annulata,24.17,110.8 +Begonia arunachalensis,25.104264,107.509707 +Begonia asperifolia,28.66,97.46 +Begonia atrofusca,37.77,75.22 +Begonia burkillii,34.3108,99.1814 +Begonia cathcartii,27.6303,98.6217 +Begonia dalaiensis,31.008694,103.608072 +Begonia difformis,24.58669,98.689166 +Begonia dioica,31.008694,103.608072 +Begonia flagellaris,41.874,124.251 +Begonia flaviflora,35.86,104.2 +Begonia flaviflora var. gamblei,35.86,104.2 +Begonia giganticaulis,31.008694,103.608072 +Begonia grandis subsp. sinensis,25.012526,102.700013 +Begonia griffithiana,23.9022,106.618742 +Begonia hatacoa,29.238919,95.176571 +Begonia iridescens,19.533333,109.583333 +Begonia josephi,27.93,101.28 +Begonia josephii,28,91.95 +Begonia kekarmonyingensis,31.008694,103.608072 +Begonia labordei,24.175587,110.235565 +Begonia longifolia,24.511747,117.24685 +Begonia lorentzonii,31.008694,103.608072 +Begonia markiana,31.008694,103.608072 +Begonia medogensis,29.2525,95.225278 +Begonia megaptera,31.008694,103.608072 +Begonia nepalensis,26.993353,100.194626 +Begonia ovatifolia,19.200505,109.74159 +Begonia oyuniae,31.008694,103.608072 +Begonia palmata,22.458352,113.033363 +Begonia palmata var. khasiana,29.33,95.33 +Begonia pasighatensis,31.008694,103.608072 +Begonia pedunculosa,31.892935,104.906409 +Begonia picta,29.32,95.33 +Begonia pseudoheydei,31.008694,103.608072 +Begonia psilophylla,22.529465,103.939279 +Begonia rex,25.423112,105.698165 +Begonia roxburghii,27.080633,100.261093 +Begonia rushforthii,31.008694,103.608072 +Begonia scintillans,30.197699,120.011981 +Begonia shilendrae,31.008694,103.608072 +Begonia sikkimensis,29.32,95.33 +Begonia sikkimensis var. kamengensis,29.32,95.33 +Begonia silletensis,21.917564,101.274963 +Begonia tessaricarpa,31.008694,103.608072 +Begonia thomsonii,24.82,97.74 +Begonia xanthina,24.72,97.58 +Begonia zhongyangiana,31.008694,103.608072 +Celastrus glaucophyllus,26.466667,111.316667 +Celastrus hindsii,26.466667,111.316667 +Celastrus hookeri,35.86,104.2 +Celastrus monospermus,27.7386,98.3489 +Celastrus paniculatus,29.39,110.16 +Celastrus rugosus,35.86,104.2 +Celastrus stylosus,25.635,98.7153 +Celastrus virens,22.010889,100.79926 +Euonymus acanthocarpus,35.86,104.2 +Euonymus attenuatus,29.25,118.12 +Euonymus cinereus,25.83,105.22 +Euonymus clivicola,29.7692,95.6854 +Euonymus cornutus,36.519977,103.891767 +Euonymus dielsianus,36.519977,103.891767 +Euonymus distichus,26.43,110.85 +Euonymus echinatus,0,0 +Euonymus fimbriatus,0,0 +Euonymus fortunei,31.1,121.3667 +Euonymus frigidus,35.86,104.2 +Euonymus giraldii,26.5,99.47 +Euonymus grandiflorus,24.9333,102.483 +Euonymus hamiltonianus,28.542509,121.346505 +Euonymus kachinensis,23.625319,105.630906 +Euonymus lawsonii,35.86,104.2 +Euonymus laxiflorus,35.86,104.2 +Euonymus lucidus,28.36,87.76 +Euonymus microcarpus,30.966552,111.261345 +Euonymus myrianthus,26.422222,110.5 +Euonymus nanoides,38.277304,106.253125 +Euonymus sanguineus,36.519977,103.891767 +Euonymus semenovii,30.8503,101.277 +Euonymus theifolius,24.8308,98.7678 +Euonymus tibeticus,29.63,94.36 +Euonymus tingens,35.86,104.2 +Euonymus vaganoides,26.43,110.85 +Euonymus vagans,21.957355,100.452547 +Euonymus viburnoides,23.763342,98.82524 +Euonymus yunnanensis,27.897245,102.265266 +Glyptopetalum angulatum,24.466672,112.626493 +Gymnosporia acuminata,25.7167,100.233 +Gymnosporia jinyangensis,27.71,102.8 +Gymnosporia rufa,28.85,85.29 +Lophopetalum wightianum,35.86,104.2 +Microtropis densiflora,35.86,104.2 +Microtropis discolor,35.86,104.2 +Microtropis macrocarpa,35.86,104.2 +Microtropis xizangensis,29.32483,95.326681 +Parnassia brevistyla,28.1247,101.1608 +Parnassia chinensis,30.6,93.47 +Parnassia cooperi,29.32,95.33 +Parnassia delavayi,35.86,104.2 +Parnassia deqenensis,27.82308,99.706013 +Parnassia humilis,32.27,91.68 +Parnassia kangdingensis,30.86,102.681389 +Parnassia longipetala,35.86,104.2 +Parnassia longipetala var. striata,27.177166,99.28717 +Parnassia lutea,29.78,94.72 +Parnassia mysorensis,27.48,88.9 +Parnassia nubicola,28.66,97.46 +Parnassia obovata,26.085912,105.348758 +Parnassia oreophila,36.519977,103.891767 +Parnassia pusilla,35.86,104.2 +Parnassia scaposa,32.77,96.67 +Parnassia tenella,35.86,104.2 +Parnassia tibetana,30.898542,102.914944 +Parnassia trinervis,31.18,91.8 +Parnassia venusta,35.86,104.2 +Parnassia viridiflora,34.15,107.84 +Parnassia wightiana,35.86,104.2 +Parnassia yunnanensis,28.48611,98.911543 +Reissantia arborea,22.391288,106.817838 +Reissantia indica,20.44,110.2 +Salacia chinensis,19.176498,109.873535 +Salacia khasiana,35.86,104.2 +Salacia salacioides,18.252625,109.511923 +Connarus paniculatus,18.252625,109.511923 +Connarus yunnanensis,22.35,106.85 +Rourea minor,18.252625,109.511923 +Averrhoa carambola,22.823037,108.373351 +Biophytum fruticosum,24.93,105.84 +Biophytum reinwardtii,19.23,109.45 +Oxalis acetosella,28.66,97.46 +Oxalis corniculata,20.06,110.33 +Oxalis griffithii,24.392902,106.633387 +Oxalis leucolepis,30.06,102.75 +Elaeocarpus acuminatus,21.919623,101.27736 +Elaeocarpus aristatus,21.919623,101.27736 +Elaeocarpus braceanus,35.86,104.2 +Elaeocarpus bracteatus,27.631111,98.680833 +Elaeocarpus dubius,23.13,112.58 +Elaeocarpus floribundus,21.919623,101.27736 +Elaeocarpus glandulosus,21.919623,101.27736 +Elaeocarpus japonicus,26.466667,111.316667 +Elaeocarpus lacunosus,24.974167,98.729167 +Elaeocarpus lanceifolius,35.86,104.2 +Elaeocarpus petiolatus,18.252625,109.511923 +Elaeocarpus prunifolius,29.03,100.3 +Elaeocarpus rugosus,18.626309,109.700342 +Elaeocarpus sikkimensis,23.763342,98.82524 +Elaeocarpus sphaericus,18.8,110.4 +Elaeocarpus stapfianus,21.919623,101.27736 +Elaeocarpus sylvestris,18.252625,109.511923 +Elaeocarpus tectorius,23.98,117.33 +Elaeocarpus varunua,35.86,104.2 +Sloanea dasycarpa,21.62593,101.58338 +Sloanea sinensis,25.095833,110.583333 +Sloanea sterculiacea var. assamica,35.86,104.2 +Sloanea tomentosa,18.516726,110.029085 +Carallia brachiata,22.54,114.05 +Ochna obtusata,22.46,107.83 +Garcinia acuminata,22.752394,114.408714 +Garcinia anomala,29.32,95.33 +Garcinia atroviridis,28.67,97.47 +Garcinia cowa,22.697654,100.860736 +Garcinia lanceifolia,35.86,104.2 +Garcinia nujiangensis,27.6978,98.2908 +Garcinia pedunculata,29.32,95.33 +Garcinia sopsopia,22.752394,114.408714 +Garcinia stipulata,21.728416,101.584511 +Calophyllum polyanthum,21.925852,101.253075 +Mesua assamica,18.74,109.17 +Mesua ferrea,18.74,109.17 +Zeylanidium olivaceum,26.631536,99.726747 +Hypericum assamicum,23.519195,110.462487 +Hypericum augustinii,24.532025,103.766191 +Hypericum beanii,35.86,104.2 +Hypericum bellum,28.66,97.46 +Hypericum choisyanum,27.177166,99.28717 +Hypericum elatoides,29.91,102.23 +Hypericum elodeoides,26.72,117.47 +Hypericum griffithii,22.013258,100.787354 +Hypericum henryi,25.0036,98.5833 +Hypericum himalaicum,27.48,88.9 +Hypericum hookerianum,29.83,93.75 +Hypericum japonicum,25.48916,99.60611 +Hypericum kingdonii,28.66,97.46 +Hypericum latisepalum,35.86,104.2 +Hypericum ludlowii,29.03,93.93 +Hypericum monanthemum,35.86,104.2 +Hypericum monanthemum subsp. filicaule,35.86,104.2 +Hypericum patulum,30.19,119.36 +Hypericum petiolulatum,35.86,104.2 +Hypericum podocarpoides,24.54,101.3 +Hypericum pseudohenryi,35.86,104.2 +Hypericum reptans,35.86,104.2 +Hypericum stellatum,31.82,108.62 +Hypericum uralum,35.86,104.2 +Hypericum wightianum,35.86,104.2 +Drypetes assamica,29.8,110.116667 +Drypetes eglandulosa,25.13,105.39 +Drypetes venusta,25.13,105.39 +Bhesa robusta,21.660629,109.207449 +Aspidopterys elliptica,29.32,95.33 +Aspidopterys glabriuscula,29.32,95.33 +Aspidopterys indica,29.32,95.33 +Aspidopterys nutans,22.01071,100.799775 +Hiptage benghalensis,18.252625,109.511923 +Dichapetalum gelonioides,18.252625,109.511923 +Gynocardia odorata,22.983563,103.687613 +Rinorea bengalensis,22.35,106.85 +Viola arcuata,41.833333,126.933333 +Viola belophylla,28.512222,98.774167 +Viola betonicifolia,28.67,118.24 +Viola biflora,34.368333,100.221667 +Viola biflora var. rockiana,26.85648,100.2271 +Viola bulbosa,36.89,100.99 +Viola cameleo,29.73797,103.231884 +Viola canescens,26.43,110.85 +Viola davidii,25,107.04 +Viola delavayi,26.682196,99.61777 +Viola diffusa,24.02,117.72 +Viola dissecta,41.25,114.81 +Viola forrestiana,29.3,94.35 +Viola inconspicua,30.19,119.36 +Viola kunawarensis,32.829722,96.898889 +Viola moupinensis,27.179281,98.729004 +Viola odorata,23.127041,113.341527 +Viola pilosa,35.86,104.2 +Viola sikkimensis,29.32,95.33 +Viola szetschwanensis,36.519977,103.891767 +Viola thomsonii,35.86,104.2 +Viola tienschiensis,24.25111,101.865 +Viola tricolor,28.393889,98.709444 +Viola wallichiana,29.58,94.93 +Viola yunnanensis,35.86,104.2 +Viola yunnanfuensis,26.876096,100.229945 +Adenia cordifolia,20.44,110.2 +Adenia trilobata,22.02,100.8 +Passiflora foetida,22.8,113.52 +Passiflora leschenaultii,24.983333,112.833333 +Passiflora napalensis,35.86,104.2 +Passiflora wilsonii,29.32,95.33 +Bennettiodendron leprosipes,18.626309,109.700342 +Casearia glomerata,23.831362,108.785483 +Casearia kurzii,23.531078,99.411861 +Casearia vareca,31.450001,104.166664 +Casearia zeylanica,35.86,104.2 +Flacourtia jangomas,18.252625,109.511923 +Homalium ceylanicum,21.941271,101.255528 +Homalium napaulense,35.86,104.2 +Populus 脳 beijingensis,47.82,124.47 +Populus 脳 hopeiensis,39.31,115.24 +Populus 脳 xiaohei var. gansuensis,40.13,94.67 +Populus adenopoda,31.4,109.98 +Populus alba,47.56,87.29 +Populus alba var. pyramidalis,41.22,82.78 +Populus ciliata,28.4,85.38 +Populus ciliata var. gyirongensis,29.64,91.18 +Populus davidiana,38.23,111.29 +Populus glauca,32.02,109.33 +Populus mainlingensis,29.18,94.07 +Populus pamirica var. trichorachis,31.13,97.18 +Populus pseudoglauca,29.85,95.76 +Populus qamdoensis,31.13,97.18 +Populus rotundifolia,29.12,93.75 +Populus rotundifolia var. duclouxiana,35.86,104.2 +Populus schneideri,29.000343,101.507299 +Populus szechuanica var. tibetica,29.64,91.18 +Populus wilsonii,35.86,104.2 +Populus wuana,29.85,95.76 +Populus yuana,27.82308,99.706013 +Populus yunnanensis,25.869611,102.593465 +Salix acuminatomicrophylla,29.32,95.33 +Salix alba,37.06,82.69 +Salix alexeii,39.17,109.15 +Salix annulifera,28.48611,98.911543 +Salix annulifera var. macroula,27.177166,99.28717 +Salix anticecrenata,29.32,95.33 +Salix argyrophegga,30.511499,103.481974 +Salix argyrotrichocarpa,29.32,95.33 +Salix atopantha,34.6489,100.611 +Salix austrotibetica,28.48,98.92 +Salix babylonica,33.52,107.99 +Salix balfouriana,28.48611,98.911543 +Salix bangongensis,33.38,79.72 +Salix bhutanensis,28.85,85.29 +Salix bistyla,35.86,104.2 +Salix brachista,35.86,104.2 +Salix brachista var. integra,29.32,95.33 +Salix brachista var. pilifera,28.9164,102.216 +Salix caesia,37.88,77.41 +Salix calyculata,29.85,95.76 +Salix cathayana,35.86,104.2 +Salix cheilophila,30.511499,103.481974 +Salix cheilophila var. microstachyoides,29.65,91.12 +Salix clathrata,31.82,98.58 +Salix coggygria,28.48611,98.911543 +Salix crenata,35.86,104.2 +Salix daliensis,35.86,104.2 +Salix daltoniana,28.9353,102.212 +Salix dalungensis,29.63,94.36 +Salix delavayana,28.96,102.104 +Salix delavayana var. pilososuturalis,27.82308,99.706013 +Salix denticulata,31.49,98.21 +Salix dibapha,26.876096,100.229945 +Salix divergentistyla,28.93,99.79 +Salix driophila,25.584234,100.222124 +Salix ernestii,31.13,96.9 +Salix faxonianoides,28.5733,99.8117 +Salix faxonianoides var. villosa,29.32,95.33 +Salix flabellaris,35.86,104.2 +Salix floccosa,28.66,97.46 +Salix fruticulosa,35.86,104.2 +Salix gilashanica,28.48611,98.911543 +Salix gyamdaensis,28.93,99.79 +Salix gyirongensis,28.563925,108.503873 +Salix heterochroma,30.511499,103.481974 +Salix hylonoma,30.511499,103.481974 +Salix insignis,29.27,88.88 +Salix kamanica,35.86,104.2 +Salix karelinii,43.15,81.12 +Salix kongbanica,28.27,88.52 +Salix kouytchensis,29.73797,103.231884 +Salix lasiopes,27.48,88.9 +Salix lindleyana,28.401367,99.44976 +Salix linearistipularis,40.44,117.72 +Salix longiflora,30.25,99.42 +Salix longistamina,29.65,91.12 +Salix luctuosa,28.491111,98.939722 +Salix ludlowiana,39.17,109.15 +Salix maizhokunggarensis,30.64,93.23 +Salix matsudana,29.1,107 +Salix medogensis,27.82308,99.706013 +Salix michelsonii,43.48,82.23 +Salix myrtillacea,30.511499,103.481974 +Salix nipponica,30.28,119.94 +Salix nujiangensis,35.86,104.2 +Salix obscura,29.63,94.36 +Salix occidentalisinensis,31.62,99.99 +Salix ochetophylla,29.496119,103.398589 +Salix opsimantha,32.5572,98.0625 +Salix oreinoma,36.519977,103.891767 +Salix oreophila,29.32,95.33 +Salix oreophila var. secta,29.32,95.33 +Salix oritrepha,34.6489,100.611 +Salix oritrepha var. amnematchinensis,32.637983,103.59895 +Salix ovatomicrophylla,32.4886,100.355 +Salix paraflabellaris,35.86,104.2 +Salix paraheterochroma,28.17,85.98 +Salix paraplesia,31.66,100.713 +Salix paraplesia var. subintegra,29.23,89.84 +Salix paratetradenia,28.48611,98.911543 +Salix paratetradenia var. yatungensis,29.63,94.36 +Salix parvidenticulata,28.85,85.29 +Salix phaidima,30.511499,103.481974 +Salix phanera,30.511499,103.481974 +Salix pilosomicrophylla,29.32,95.33 +Salix piptotricha,29.63,94.36 +Salix plocotricha,32.44,104.55 +Salix pseudocalyculata,39.17,109.15 +Salix pseudospissa,31.62,99.99 +Salix pseudowolohoensis,26.876096,100.229945 +Salix psilostigma,25.75,100.1 +Salix pycnostachya,39.71,75.25 +Salix pycnostachya var. oxycarpa,31.47,79.8 +Salix qamdoensis,29.0758,99.9189 +Salix radinostachya,35.86,104.2 +Salix radinostachya var. pseudophanera,35.86,104.2 +Salix rehderiana,32.279167,96.273056 +Salix rehderiana var. dolia,30.055305,101.96483 +Salix reptans,39.9,116.4 +Salix resectoides,35.86,104.2 +Salix rhododendrifolia,30.055305,101.96483 +Salix rosthornii,29.016667,107 +Salix salwinensis,35.86,104.2 +Salix sclerophylla,34.3575,100.255556 +Salix sclerophylla var. tibetica,28.36,87.76 +Salix sclerophylloides,31.13,97.18 +Salix sclerophylloides var. obtusa,32.97,98.1 +Salix sericocarpa,35.86,104.2 +Salix serpyllum,28.85,85.29 +Salix sikkimensis,27.98,87.13 +Salix souliei,29.3228,97.0325 +Salix spathulifolia,36.92,101.32 +Salix sphaeronymphe,27.928607,101.279419 +Salix sphaeronymphe var. sphaeronymphoides,31.13,97.18 +Salix spodiophylla,35.86,104.2 +Salix spodiophylla var. liocarpa,29.2739,98.6728 +Salix staintoniana,39.17,109.15 +Salix takasagoalpina,39.17,109.15 +Salix tetrasperma,35.86,104.2 +Salix trichocarpa,33.176944,97.379444 +Salix vaccinioides,35.86,104.2 +Salix variegata,30.06,102.75 +Salix wallichiana,29.2711,100.082 +Salix wangiana,33.31033,108.314391 +Salix wilhelmsiana,25.584234,100.222124 +Salix xiaoguangshanica,35.86,104.2 +Salix xizangensis,29.32,95.33 +Salix yadongensis,27.48,88.9 +Salix zangica,29.2189,101.516 +Salix zayulica,39.17,109.15 +Xylosma congesta,29,109.85 +Xylosma controversa,24.983333,112.833333 +Xylosma longifolia,23.39,106.62 +Sapria himalayana,21.623309,101.588627 +Alchornea tiliifolia,21.613427,108.053037 +Balakata baccata,29.32,95.33 +Baliospermum angustifolium,29.32,95.33 +Baliospermum bilobatum,29.32,95.33 +Baliospermum calycinum,29.32,95.33 +Baliospermum solanifolium,23.531078,99.411861 +Claoxylon khasianum,23.219942,102.835218 +Claoxylon longipetiolatum,20.44,110.2 +Cleidion spiciflorum,22.010889,100.79926 +Cnesmone tonkinensis,22.391288,106.817838 +Croton caudatus,22.02,100.8 +Croton chlorocalyx,22.000637,100.813316 +Croton joufra,18.63,109.7 +Croton tiglium,22.000637,100.813316 +Euphorbia altotibetica,34.563611,99.950833 +Euphorbia antiquorum,24.580446,99.92854 +Euphorbia dentata,40.272459,116.145618 +Euphorbia donii,34.563611,99.950833 +Euphorbia fischeriana,36.67,114.06 +Euphorbia griffithii,27.48,88.9 +Euphorbia hirta,25.25,110.05 +Euphorbia humifusa,38.86,115.47 +Euphorbia jolkinii,27.818816,99.642874 +Euphorbia lathyris,31.82,108.62 +Euphorbia micractina,34.3108,99.1814 +Euphorbia motuogensis,34.563611,99.950833 +Euphorbia royleana,24.580446,99.92854 +Euphorbia sikkimensis,27.450165,99.822601 +Euphorbia stracheyi,35.86,104.2 +Euphorbia thymifolia,24.47,118.08 +Euphorbia tibetica,34.3108,99.1814 +Euphorbia wallichii,27.129196,100.235283 +Excoecaria acerifolia,29.62,98.33 +Excoecaria acerifolia var. cuspidata,28.6311,99.2858 +Excoecaria agallocha,18.74,109.17 +Excoecaria oppositifolia,28.0644,98.5942 +Falconeria insignis,21.48,101.57 +Homonoia riparia,22.75,109.2 +Jatropha curcas,24.47,118.08 +Macaranga denticulata,29.32,95.33 +Macaranga gamblei,25.4014,98.7233 +Macaranga indica,29.32,95.33 +Macaranga pustulata,29.32,95.33 +Macaranga sampsonii,29.15,112.5 +Mallotus nepalensis,35.86,104.2 +Mallotus oreophilus,25.22845,113.217309 +Mallotus paniculatus,28.85,85.29 +Mallotus philippensis,35.86,104.2 +Mallotus repandus,26.466667,111.316667 +Mallotus roxburghianus,21.957355,100.452547 +Mallotus tetracoccus,22.010889,100.79926 +Manihot esculenta,21.716599,109.14889 +Ostodes katharinae,35.86,104.2 +Ostodes paniculata,18.62,109.7 +Ricinus communis,34.14,108.03 +Sumbaviopsis albicans,21.909315,101.282052 +Trevia nudiflora,21.68,101.31 +Triadica cochinchinensis,24.32306,109.49222 +Vernicia fordii,33.081569,107.045478 +Anisadenia pubescens,35.86,104.2 +Anisadenia saxatilis,27.698056,98.303611 +Linum nutans,28.37,90.77 +Linum pallescens,36.07,103.75 +Linum perenne,36.381389,100.878056 +Linum usitatissimum,36.03,103.73 +Reinwardtia indica,27.897245,102.265266 +Actephila excelsa,22.391288,106.817838 +Antidesma acidum,25.08,104.89 +Antidesma bunius,22.581017,114.197267 +Antidesma khasianum,25.303923,98.774111 +Antidesma montanum,29.32,95.33 +Antidesma montanum var. microphyllum,25.423112,105.698165 +Antidesma nigricans,24.983333,112.833333 +Antidesma roxburghii,27.080633,100.261093 +Aporosa dioica,22.54,114.05 +Aporosa octandra,22.54,114.05 +Baccaurea ramiflora,21.919832,101.267824 +Bischofia javanica,35.86,104.2 +Breynia retusa,25.17,110.35 +Bridelia assamica,29.8,110.116667 +Bridelia balansae,20.44,110.2 +Bridelia glauca,24.186045,113.415062 +Bridelia montana,25.3889,98.8633 +Bridelia retusa,24.865833,98.897222 +Bridelia stipularis,24.39,106.63 +Flueggea virosa,24.33,116.62 +Glochidion ellipticum,18.516726,110.029085 +Glochidion helferi,22.391288,106.817838 +Glochidion heyneanum,25.3961,98.8583 +Glochidion hirsutum,23.490446,111.295924 +Glochidion khasicum,23.226775,108.229301 +Glochidion lanceolarium,22.531111,114.532778 +Glochidion medogense,29.32,95.33 +Glochidion multiloculare,26.266108,107.525074 +Glochidion nubigenum,29.32,95.33 +Glochidion oblatum,22.01071,100.799775 +Glochidion puberum,29.931143,121.94971 +Glochidion thomsonii,29.32,95.33 +Glochidion zeylanicum var. arunachalense,35.86,104.2 +Leptopus chinensis,36.519977,103.891767 +Leptopus cordifolius,25,102 +Leptopus emicans,31.824099,108.629497 +Phyllanthus clarkei,28.85,85.29 +Phyllanthus cochinchinensis,22.54,114.05 +Phyllanthus debilis,22.599132,114.035085 +Phyllanthus emblica,35.86,104.2 +Phyllanthus flexuosus,27.239788,111.481866 +Phyllanthus glaucus,24.983333,112.833333 +Phyllanthus reticulatus,23.9,106.61 +Phyllanthus rheophyticus,19.200505,109.74159 +Phyllanthus tetrandrus,23.288401,111.90177 +Phyllanthus tsarongensis,35.86,104.2 +Phyllanthus urinaria,24.983333,112.833333 +Sauropus androgynus,29.49,103.39 +Sauropus macranthus,18.626309,109.700342 +Sauropus stipitatus,22.97,115.27 +Erodium cicutarium,31.47,79.8 +Erodium oxyrhinchum,42.85,89.18 +Erodium stephanianum,32.3097,96.46 +Erodium tibetanum,32.49,80.09 +Geranium camaense,38.073254,104.69114 +Geranium collinum,31.47,79.8 +Geranium dahuricum,44.84,128.6 +Geranium delavayi,35.86,104.2 +Geranium donianum,26.876096,100.229945 +Geranium farreri,28.48611,98.911543 +Geranium himalayense,30.29,81.17 +Geranium hispidissimum,25.4856,100.5505 +Geranium krameri,42.79,130.37 +Geranium lambertii,28.85,85.29 +Geranium moupinense,29.22,102.35 +Geranium napuligerum,35.86,104.2 +Geranium nepalense,30.55,103.29 +Geranium ocellatum,25.012526,102.700013 +Geranium polyanthes,28.95,93.88 +Geranium pratense,36.519977,103.891767 +Geranium pylzowianum,33.000556,97.328889 +Geranium refractum,29.14,100.157 +Geranium robertianum,28.3,99.17 +Geranium rubifolium,27.48,88.9 +Geranium sibiricum,28.56055,98.83972 +Geranium strictipes,27.0983,100.175 +Geranium wallichianum,28.85,85.29 +Geranium wilfordii,43.7,127.139 +Pelargonium hortorum,47.34,130.32 +Combretum acuminatum,21.97,100.45 +Combretum alatum,36.46,107.99 +Combretum griffithii,22.697654,100.860736 +Combretum indicum,22.634621,114.333615 +Combretum pilosum,18.62,109.7 +Combretum punctatum var. squamosum,21.957355,100.452547 +Combretum wallichii,24.93,105.84 +Getonia floribunda,21.919925,101.277947 +Terminalia arjuna,18.74,109.17 +Terminalia bellirica,22.010889,100.79926 +Terminalia catappa,23.98,117.33 +Terminalia chebula,23.12,113.34 +Terminalia citrina,26.534082,100.42293 +Terminalia franchetii var. intricata,30,99.1 +Terminalia myriocarpa,21.462729,101.565498 +Terminalia paniculata,26.534082,100.42293 +Cuphea carthagenensis,18.78,109.52 +Cuphea hookeriana,22.7,100.86 +Duabanga grandiflora,23.12,113.34 +Lagerstroemia minuticarpa,35.86,104.2 +Lagerstroemia parviflora,24.72,97.93 +Lagerstroemia speciosa,23.12,113.34 +Lythrum salicaria,35.21,106.65 +Punica granatum,33.081569,107.045478 +Rotala densiflora,18.252013,109.504133 +Rotala indica,35.86,104.2 +Rotala rotundifolia,35.86,104.2 +Trapa incisa,43.727,127.333 +Woodfordia fruticosa,24.79,98.8767 +Chamerion angustifolium,35.334722,101.928056 +Chamerion angustifolium subsp. circumvagum,35.334722,101.928056 +Chamerion conspersum,28.491111,98.939722 +Chamerion latifolium,30.05,96.91 +Chamerion speciosum,35.334722,101.928056 +Circaea alpina,32.080278,97.02 +Circaea alpina subsp. imaicola,35.86,104.2 +Circaea alpina subsp. micrantha,28.48611,98.911543 +Circaea cordata,34.56,105.72 +Circaea repens,29.32,95.33 +Epilobium amurense,28.389722,98.7925 +Epilobium brevifolium,29.32,95.33 +Epilobium brevifolium subsp. trichoneurum,35.86,104.2 +Epilobium cylindricum,35.86,104.2 +Epilobium fastigiatoramosum,49.211941,119.765772 +Epilobium gouldii,35.86,104.2 +Epilobium hirsutum,35.86,104.2 +Epilobium kingdonii,28.5939,99.8469 +Epilobium minutiflorum,39,112.3 +Epilobium palustre,32.752778,97.214722 +Epilobium royleanum,25.9556,98.7383 +Epilobium sikkimense,25.8833,100.017 +Epilobium subcoriaceum,35.86,104.2 +Epilobium tibetanum,35.86,104.2 +Epilobium wallichianum,35.86,104.2 +Epilobium williamsii,35.86,104.2 +Ludwigia adscendens,19.25,110.45 +Ludwigia hyssopifolia,22.8,113.52 +Ludwigia octovalvis,23.57,113.64 +Ludwigia ovalis,30.42,120.02 +Ludwigia perennis,25.69,117.85 +Oenothera biennis,40.12,124.38 +Oenothera rosea,30.7,111.27 +Callistemon citrinus,21.67,109.2 +Callistemon rigidus,29.6,106.57 +Decaspermum parviflorum,22.309167,100.919444 +Eucalyptus citriodora,24.59,117.65 +Eucalyptus tereticornis,24.59,117.65 +Psidium guajava,22.823037,108.373351 +Syzygium aborense,21.919925,101.277947 +Syzygium anisopetalum,26.466667,111.316667 +Syzygium assamicum,23.519195,110.462487 +Syzygium balsameum,29.32,95.33 +Syzygium cumini,23.12,113.34 +Syzygium cuneatum,29.6,103.48 +Syzygium formosum,29.560453,102.84644 +Syzygium fruticosum,25.255089,110.050531 +Syzygium kurzii,35.86,104.2 +Syzygium megacarpum,21.919623,101.27736 +Syzygium mishmiense,26.466667,111.316667 +Syzygium nervosum,23.098144,113.297157 +Syzygium oblatum,21.941271,101.255528 +Syzygium praecox,26.466667,111.316667 +Syzygium syzygioides,26.466667,111.316667 +Syzygium tetragonum,18.62,109.7 +Syzygium xizangense,29.32,95.33 +Allomorphia baviensis,24.175587,110.235565 +Allomorphia urophylla,24.392902,106.633387 +Medinilla arunachalica,29.32,95.33 +Medinilla himalayana,25.59,107.54 +Medinilla nana,23.437468,104.672252 +Medinilla petelotii,35.86,104.2 +Medinilla rubicunda,29.32,95.33 +Melastoma imbricatum,22.529465,103.939279 +Melastoma malabathricum,21.919623,101.27736 +Melastoma normale,25.22845,113.217309 +Memecylon caeruleum,21.922636,101.249761 +Memecylon celastrinum,23.12,113.34 +Memecylon scutellatum,23.12,113.34 +Osbeckia capitata,27.37,102.53 +Osbeckia chinensis,25.5278,98.6664 +Osbeckia crinita,27.7411,98.3453 +Osbeckia nepalensis,35.86,104.2 +Osbeckia nepalensis var. albiflora,35.86,104.2 +Osbeckia nutans,25.078889,100.135556 +Osbeckia rostrata,25.88,116.03 +Osbeckia stellata,25.758375,110.120117 +Oxyspora cernua,26.631536,99.726747 +Oxyspora paniculata,23.721633,106.843575 +Oxyspora vagans,22.01071,100.799775 +Pseudodissochaeta assamica,23.160603,106.288701 +Pseudodissochaeta spirei,23.363,104.250727 +Sarcopyramis bodinieri,35.86,104.2 +Sarcopyramis napalensis,35.86,104.2 +Sonerila arunachalensis,23.812642,113.953351 +Sonerila khasiana,23.812642,113.953351 +Sonerila maculata,25.100649,117.034189 +Turpinia affinis,29.496119,103.398589 +Turpinia cochinchinensis,35.86,104.2 +Turpinia macrosperma,35.86,104.2 +Turpinia montana,22.54,114.05 +Turpinia ternata,33.36284,122.98768 +Stachyurus chinensis,26.4,119.8 +Stachyurus himalaicus,26.466667,111.316667 +Biebersteinia heterostemon,35.84,104.11 +Biebersteinia odora,31.47,79.8 +Peganum harmala,40.291851,97.04553 +Peganum multisectum,36.1933,100.715 +Canarium bengalense,23.437468,104.672252 +Canarium pimela,18.252625,109.511923 +Canarium strictum,29.32,95.33 +Garuga floribunda var. gamblei,22.65,108.31 +Garuga pinnata,22.010889,100.79926 +Choerospondias axillaris,25.0142,98.7011 +Cotinus coggygria var. glaucophylla,33.26,104.23 +Dobinea vulgaris,35.86,104.2 +Dracontomelon duperreanum,23.12,113.34 +Drimycarpus racemosus,24.518994,107.410176 +Holigarna longifolia,22.02,100.8 +Lannea coromandelica,18.62,109.7 +Mangifera indica,23.763342,98.82524 +Mangifera sylvatica,24.615701,100.709787 +Pegia nitida,25.086828,104.895897 +Pistacia chinensis,33.081569,107.045478 +Pistacia weinmanniifolia,29.33,102.58 +Rhus chinensis,22.273056,111.162778 +Rhus chinensis var. roxburghii,22.273056,111.162778 +Rhus punjabensis,33.081569,107.045478 +Rhus punjabensis var. pilosa,35.86,104.2 +Rhus punjabensis var. sinica,33.081569,107.045478 +Semecarpus anacardium,21.475834,101.56752 +Spondias pinnata,18.252625,109.511923 +Toxicodendron acuminatum,28.85,85.29 +Toxicodendron griffithii,30.01,94.97 +Toxicodendron hookeri,35.86,104.2 +Toxicodendron hookeri var. microcarpum,35.86,104.2 +Toxicodendron succedaneum,30.0092,94.9669 +Toxicodendron vernicifluum,35.86,104.2 +Toxicodendron wallichii,35.86,104.2 +Toxicodendron wallichii var. microcarpum,35.86,104.2 +Acer acuminatum,27.48,88.9 +Acer caesium,28.66,97.46 +Acer campbellii,27.48,88.9 +Acer campbellii var. serratifolium,26.901731,98.869207 +Acer cappadocicum,35.86,104.2 +Acer cappadocicum subsp. sinicum,35.86,104.2 +Acer caudatum,36.519977,103.891767 +Acer davidii,25.3642,102.732 +Acer flabellatum,24.580446,99.92854 +Acer forrestii,27.707333,99.994667 +Acer laevigatum,36.519977,103.891767 +Acer laurinum,29.32,95.33 +Acer negundo,39.997778,116.203611 +Acer oblongum,36.519977,103.891767 +Acer pectinatum,29.32,95.33 +Acer pectinatum subsp. taronense,30.0058,93.9231 +Acer pictum subsp. macropterum,29.22,102.35 +Acer pictum subsp. mono,45.354,129.542 +Acer pinnatinervium,35.86,104.2 +Acer pubipetiolatum,35.86,104.2 +Acer sikkimense,35.86,104.2 +Acer stachyophyllum,35.86,104.2 +Acer stachyophyllum subsp. betulifolium,32.92,104.32 +Acer sterculiaceum,25.76,98.69 +Acer thomsonii,21.957355,100.452547 +Acer tibetense,31.712092,88.118532 +Acer tonkinense,29.32,95.33 +Acer wardii,27.715,98.5019 +Acer wilsonii,35.86,104.2 +Aesculus assamica,22.792186,103.086573 +Allophylus chartaceus,29.32,95.33 +Allophylus serratus,22.76,107.11 +Allophylus triphyllus,21.97,100.45 +Allophylus zeylanicus,29.33,95.33 +Dimocarpus longan,25.905689,119.542287 +Koelreuteria paniculata,31.83,101.67 +Lepisanthes erecta,21.68,101.31 +Lepisanthes senegalensis,21.68,101.31 +Lepisanthes tetraphylla,22.52,103.97 +Litchi chinensis,31.222222,121.458056 +Nephelium mutabile,25.6,115.78 +Sapindus rarak,22.010889,100.79926 +Sapindus saponaria,25.13,113.35 +Xanthoceras sorbifolium,36,109 +Xerospermum noronhianum,39.92,111.68 +Acronychia pedunculata,22.97,115.27 +Aegle marmelos,22.01071,100.799775 +Atalantia dasycarpa,21.613427,108.053037 +Boenninghausenia albiflora,29.54722,115.98167 +Citrus 脳 aurantium,33.161667,104.996944 +Citrus hystrix,18.252013,109.504134 +Citrus latipes,36.519977,103.891767 +Citrus limon,23.127041,113.341527 +Citrus medica,35.86,104.2 +Citrus reticulata,28.214861,112.965805 +Citrus sinensis,18.252625,109.511923 +Clausena excavata,20.44,110.2 +Clausena heptaphylla,22.823037,108.373351 +Clausena lansium,22.823037,108.373351 +Glycosmis longifolia,23.78,98.83 +Glycosmis lucida,22.010889,100.79926 +Glycosmis pentaphylla,23.531078,99.411861 +Glycosmis xizangensis,29.32,95.33 +Limonia acidissima,23.12,113.34 +Melicope glomerata,22.010889,100.79926 +Melicope lunu-ankenda,23.13,112.58 +Melicope pteleifolia,23.13,112.58 +Melicope triphylla,21.957355,100.452547 +Micromelum falcatum,23.67,112.39 +Micromelum integerrimum,29.32,95.33 +Micromelum minutum,22.18,111.78 +Murraya exotica,22.75,109.2 +Murraya koenigii,18.252625,109.511923 +Paramignya monophylla,18.74,109.17 +Paramignya scandens,19.176498,109.873535 +Skimmia anquetilia,36.519977,103.891767 +Skimmia arborescens,36.519977,103.891767 +Skimmia laureola,35.86,104.2 +Skimmia melanocarpa,32.144677,110.712211 +Skimmia multinervia,35.86,104.2 +Skimmia reevesiana,23.174167,104.829722 +Tetradium daniellii,29.5997,102.0583 +Tetradium fraxinifolium,24.8309,98.767998 +Tetradium glabrifolium,25.966667,98.683333 +Tetradium ruticarpum,30.353794,119.436458 +Tetradium trichotomum,24.0852,98.9585 +Toddalia asiatica,35.86,104.2 +Zanthoxylum acanthopodium,27.7397,98.6592 +Zanthoxylum armatum,26.466667,111.316667 +Zanthoxylum armatum var. ferrugineum,31.249433,121.648597 +Zanthoxylum bungeanum,36.06667,120.33334 +Zanthoxylum burkillianum,22.640833,107.097222 +Zanthoxylum esquirolii,26.266108,107.525074 +Zanthoxylum macranthum,35.86,104.2 +Zanthoxylum motuoense,29.32,95.33 +Zanthoxylum nepalense,27.629986,99.685448 +Zanthoxylum nitidum,23.129167,113.264444 +Zanthoxylum nitidum var. tomentosum,23.519195,110.462487 +Zanthoxylum oxyphyllum,26.005611,98.659111 +Zanthoxylum piasezkii,34.15745,107.843975 +Zanthoxylum pilosulum,30.066708,102.758313 +Zanthoxylum rhetsa,22.640833,107.097222 +Zanthoxylum schinifolium,24.983333,112.833333 +Zanthoxylum stenophyllum,25.703877,104.468265 +Zanthoxylum tomentellum,35.86,104.2 +Zanthoxylum undulatifolium,33.976206,107.249372 +Ailanthus altissima,33.96,112.03 +Ailanthus fordii,24.47,118.08 +Ailanthus integrifolia subsp. calycina,27.82308,99.706013 +Brucea javanica,35.86,104.2 +Brucea mollis,29.32,95.33 +Picrasma chinensis,24.93,105.84 +Picrasma quassioides,39.92912,115.948983 +Aglaia chittagonga,23.72,106.84 +Aglaia edulis,23.125462,104.702829 +Aglaia elaeagnoidea,22.010889,100.79926 +Aglaia lawii,23.72,106.84 +Aglaia perviridis,22.010889,100.79926 +Aglaia spectabilis,18.252013,109.504134 +Aphanamixis polystachya,21.729021,101.585007 +Azadirachta indica,18.5,110.03 +Chisocheton cumingianus subsp. balansae,21.919623,101.27736 +Chukrasia tabularis,20.01,110.33 +Cipadessa baccifera,35.86,104.2 +Dysoxylum excelsum,21.475834,101.56752 +Dysoxylum gotadhora,21.957355,100.452547 +Dysoxylum grande,21.97,100.45 +Dysoxylum medogense,29.33,95.33 +Dysoxylum mollissimum,18.626309,109.700342 +Dysoxylum pallens,22.7,100.86 +Heynea trijuga,24.83,98.758056 +Melia azedarach,26.466667,111.316667 +Melia dubia,24.48333,109.73333 +Sphaerosacme decandra,36.519977,103.891767 +Toona ciliata,35.86,104.2 +Toona sinensis,35.86,104.2 +Toona sureni,24.7,117.31 +Walsura robusta,25.3047,98.79 +Dipentodon sinicus,35.86,104.2 +Abelmoschus manihot,24.652216,116.948616 +Abelmoschus manihot var. pungens,35.86,104.2 +Abelmoschus moschatus,25.104264,107.509707 +Abroma augustum,21.918041,101.281246 +Abutilon indicum,26.257465,103.105257 +Abutilon ramosum,43.7,127.139 +Alcea rosea,36.88,118.73 +Bombax ceiba,26.534082,100.42293 +Byttneria grandifolia,22.597458,114.071004 +Corchorus aestuans,35.86,104.2 +Corchorus capsularis,23.496251,108.623457 +Corchorus olitorius,35.86,104.2 +Craigia yunnanensis,35.86,104.2 +Firmiana colorata,23.763342,98.82524 +Firmiana kwangsiensis,23.007661,106.674614 +Gossypium arboreum,26.655322,102.244617 +Grewia asiatica,38.743089,121.185834 +Grewia biloba,38.743089,121.185834 +Grewia multiflora,25.854601,98.848701 +Heritiera angustata,18.62,109.7 +Heritiera dubia,18.62,109.7 +Hibiscus austroyunnanensis,21.97,100.45 +Hibiscus fragrans,41.832,126.945 +Hibiscus macrophyllus,21.957355,100.452547 +Hibiscus surattensis,18.74,109.17 +Hibiscus syriacus,24.983333,112.833333 +Hibiscus trionum,24.814388,103.326393 +Hibiscus vitifolius,24.976725,101.487417 +Kleinhovia hospita,18.25,109.5 +Kydia calycina,24.580446,99.92854 +Kydia glabrescens,24.388378,106.006265 +Malva cathayensis,30.559627,114.322539 +Malva pusilla,36.97,111.2 +Malva verticillata,32,90 +Malva verticillata var. rafiqii,32,90 +Malva xizangensis,29.32483,95.326681 +Melochia corchorifolia,23.12,113.34 +Pterospermum heterophyllum,26.43,110.85 +Pterospermum javanicum,0,0 +Pterospermum lanceifolium,0,0 +Pterygota alata,24.72,97.93 +Reevesia pubescens,0,0 +Sida acuta,18.22,109.52 +Sida rhombifolia,26.64,118.18 +Sida szechuensis,35.86,104.2 +Sterculia balanghas,29.15,112.5 +Sterculia euosma,0,0 +Sterculia guttata,18.516726,110.029085 +Sterculia hamiltonii,29.32,95.33 +Sterculia kingii,0,0 +Sterculia lanceifolia,0,0 +Sterculia lanceolata,22.554419,114.056175 +Sterculia parviflora,29.15,112.5 +Sterculia urens,0,0 +Sterculia villosa,22.010889,100.79926 +Tilia chinensis,0,0 +Triumfetta annua,25.25,110.05 +Triumfetta cana,22.597908,114.027059 +Triumfetta obliqua,24.7,117.31 +Triumfetta pilosa,26.466667,111.316667 +Triumfetta rhomboidea,22.605082,114.032193 +Urena lobata,0,0 +Urena lobata var. yunnanensis,28.262715,103.571742 +Wissadula periplocifolia,19.1,108.63 +Aquilaria khasiana,0,0 +Aquilaria malaccensis,29.15,112.5 +Daphne acutiloba,30.36,102.81 +Daphne aurantiaca,26.876096,100.229945 +Daphne bholua,35.86,104.2 +Daphne bholua var. glacialis,28.36,87.76 +Daphne holosericea,28.48611,98.911543 +Daphne holosericea var. thibetensis,30.004589,99.107741 +Daphne holosericea var. wangeana,0,0 +Daphne longilobata,35.86,104.2 +Daphne macrantha,0,0 +Daphne papyracea,35.86,104.2 +Daphne purpurascens,27.772214,100.141242 +Daphne retusa,0,0 +Daphne sureil,24.54,101.3 +Daphne tangutica,33.392394,104.926525 +Daphne taylorii,31.712092,88.118532 +Edgeworthia gardneri,25.139344,97.936936 +Edgeworthia longipes,31.678642,119.874162 +Eriosolena composita,35.86,104.2 +Stellera chamaejasme,41.451,127.92 +Wikstroemia canescens,0,0 +Wikstroemia lichiangensis,32.4469,98.0092 +Wikstroemia ligustrina,0,0 +Wikstroemia lungtzeensis,28.93,93.22 +Wikstroemia scytophylla,26.87,100.23 +Dipterocarpus retusus,21.73,101.58 +Hopea shingkeng,0,0 +Shorea robusta,21.663483,101.467112 +Vatica lanceifolia,21.824917,101.342438 +Tropaeolum majus,35.21,106.65 +Moringa oleifera,20.071572,110.332322 +Carica papaya,21.957355,100.452547 +Stixis suaveolens,18.626309,109.700342 +Capparis acutifolia,23.349959,113.745564 +Capparis assamica,22.01071,100.799775 +Capparis himalayensis,45.58,84.89 +Capparis multiflora,22.983563,103.687613 +Capparis olacifolia,22.35,110.95 +Capparis roxburghii,27.080633,100.261093 +Capparis sabiifolia,22.792186,103.086573 +Capparis spinosa,43.81,87.6 +Capparis tenera,21.957355,100.452547 +Crateva magna,19.772045,110.503471 +Gynandropsis gynandra,24.479669,118.089767 +Acirostrum alaschanicum,38.72771,105.948911 +Aphragmus bouffordii,29.7108,98.0025 +Aphragmus hobsonii,27.48,88.9 +Aphragmus minutus,28,91.95 +Aphragmus oxycarpus,34.58,99.46 +Arabidopsis thaliana,37.46,121.44 +Arabis amplexicaulis,28.2,90.82 +Arabis hirsuta,34.56,105.72 +Arabis paniculata,27.1,100.13 +Arabis pterosperma,30.05,102.03 +Arabis pycnocarpa,37.36,90.38 +Baimashania wangii,26.92,109.2 +Barbarea intermedia,28,91.95 +Barbarea vulgaris,28.1194,101.169 +Brassica chinensis var. oleifera,30.710589,104.088668 +Brassica juncea,32.055645,118.797741 +Brassica napus,32.055645,118.797741 +Brassica rapa,33.22,97.6 +Brassica rapa var. glabra,33.22,97.6 +Brassica rapa var. oleifera,30.710589,104.088668 +Braya fengii,29.969,94.259 +Braya humilis,39.982403,116.034808 +Braya parvia,28.96,102.104 +Braya rosea,31.084,103.267 +Braya siliquosa,33.38,79.72 +Braya tibetica,29.3858,100.149 +Capsella bursa-pastoris,30,94.22 +Cardamine circaeoides,27.2,109.83 +Cardamine elegantula,24.813781,113.184435 +Cardamine flexuosa,39.983889,116.207858 +Cardamine fragariifolia,27.99,108.4 +Cardamine franchetiana,28.8164,99.2158 +Cardamine granulifera,26.876096,100.229945 +Cardamine griffithii,31.331599,110.783718 +Cardamine hirsuta,37.28,114.51 +Cardamine hongdeyuana,38.073254,104.69114 +Cardamine hygrophila,29.157849,107.099276 +Cardamine impatiens,24.846283,110.451522 +Cardamine leucantha,43.18,126.547 +Cardamine loxostemonoides,28.85,85.29 +Cardamine lyrata,31.92,119.17 +Cardamine macrophylla,37.28,114.51 +Cardamine paucifolia,27.177166,99.28717 +Cardamine pseudotrifoliolata,28.67,93.63 +Cardamine pulchella,29.32,95.33 +Cardamine purpurascens,28.54,102.17 +Cardamine tangutorum,32.0944,97.2667 +Cardamine trifoliolata,29.39,110.16 +Cardamine yunnanensis,35.86,104.2 +Catolobus pendulus,31.9744,100.941 +Chorispora macropoda,39.71,75.25 +Christolea crassifolia,37.31,75.42 +Crucihimalaya axillaris,28.17,85.98 +Crucihimalaya himalaica,29.2739,98.6728 +Crucihimalaya lasiocarpa,29.0758,99.9189 +Crucihimalaya mollissima,31.47,79.8 +Crucihimalaya stricta,29.037008,100.298406 +Crucihimalaya tibetica,29.1081,99.9078 +Crucihimalaya wallichii,29.5072,96.7575 +Descurainia sophia,29.65,91.12 +Dilophia ebracteata,34.365,100.193 +Dilophia salsa,34.9933,98.5047 +Dontostemon glandulosus,33.1275,97.4622 +Dontostemon pinnatifidus,27.82308,99.706013 +Draba alajica,31.712092,88.118532 +Draba altaica,29.7108,98.0025 +Draba amplexicaulis,27.71,102.8 +Draba bartholomewii,31.0936,96.4944 +Draba bhutanica,29.05,93.98 +Draba cholaensis,27.92,101.27 +Draba draboides,31.3417,97.7108 +Draba elata,29.1419,99.6497 +Draba ellipsoidea,30.6839,97.2619 +Draba eriopoda,30.17,97.28 +Draba glomerata,29.77,84.03 +Draba gracillima,32,90 +Draba handelii,35.86,104.2 +Draba involucrata,27.793619,99.586174 +Draba jucunda,35.86,104.2 +Draba kongboiana,38.073254,104.69114 +Draba ladyginii,30.1589,97.3156 +Draba lanceolata,28.85,85.29 +Draba lasiophylla,40.33,115.62 +Draba lichiangensis,31.8331,96.4883 +Draba linearifolia,30.17,97.28 +Draba matangensis,31.8503,102.67 +Draba melanopus,43.8,87.6 +Draba mieheorum,28.166667,86.45 +Draba mongolica,40.598815,117.482248 +Draba nemorosa,37.28,114.51 +Draba nylamensis,28.17,85.98 +Draba oreades,33.97,107.24 +Draba oreades var. alpicola,32.5,80.1 +Draba polyphylla,29.9,94.87 +Draba senilis,29.1,99.6922 +Draba setosa,29.6728,96.7781 +Draba sikkimensis,35.86,104.2 +Draba stenobotrys,43.79,87.63 +Draba stenocarpa,43.81,87.6 +Draba sunhangiana,29.1531,101.407 +Draba surculosa,27.42,101.5 +Draba tibetica,27.129292,100.235176 +Draba turczaninowii,43.62,85.63 +Draba winterbottomii,30.29,81.17 +Draba yunnanensis,29.3342,101.499 +Draba zangbeiensis,31.3506,97.6828 +Eruca vesicaria subsp. sativa,32.445845,104.553645 +Erysimum 脳 cheiri,25.012526,102.700013 +Erysimum absconditum,31.712092,88.118532 +Erysimum benthamii,34.58,103.5 +Erysimum deflexum,29.65,91.12 +Erysimum flavum,29.65,91.12 +Erysimum flavum subsp. altaicum,44.96,81.02 +Erysimum funiculosum,32,90 +Erysimum handel-mazzettii,28.401194,99.449791 +Erysimum hieraciifolium,28.85,85.29 +Erysimum pachycarpum,31.712092,88.118532 +Erysimum robustum,29.6,91.15 +Erysimum roseum,34.78,92.88 +Erysimum schlagintweitianum,32,90 +Erysimum wardii,28.98,90.47 +Eutrema altaicum,38.116667,76.133333 +Eutrema bouffordii,33.14,97.4981 +Eutrema deltoideum,29.65,91.12 +Eutrema fontanum,30.182778,99.9925 +Eutrema heterophyllum,29.7,98 +Eutrema himalaicum,29.127778,99.975278 +Eutrema hookeri,32.255833,96.325833 +Eutrema lowndesii,28.93,85.4 +Eutrema nepalense,29.05,93.98 +Eutrema pseudocordifolium,32.907187,104.199262 +Eutrema scapiflorum,25.675358,100.097256 +Eutrema schulzii,29.037008,100.298406 +Eutrema sherriffii,28.3,92.8 +Eutrema sinense,32.907187,104.199262 +Eutrema tenue,30.06,102.75 +Eutrema verticillatum,28.3,99.166667 +Eutrema wuchengyii,31.8,98.58 +Goldbachia pendula,44.43,84.91 +Hemilophia pulchella,27.42,101.5 +Hemilophia sessilifolia,28.576389,99.85 +Iberis amara,22.02,100.8 +Iberis intermedia,29.65,91.12 +Isatis gymnocarpa,44.3,86.22 +Ladakiella Klime?ii,30.603189,82.436822 +Leiospora pamirica,38.28,74.93 +Lepidium apetalum,40.68,117.46 +Lepidium capitatum,29.23,89.84 +Lepidium chalepense,39.463888,76.013333 +Lepidium cuneiforme,34.56,105.72 +Lepidium didymum,31.86,121.69 +Lepidium latifolium,40.24,122.42 +Lepidium sativum,43.727,127.333 +Lepidium virginicum,32.05,118.79 +Lepidostemon everestianus,31.712092,88.118532 +Lepidostemon pedunculosus,36.519977,103.891767 +Lepidostemon rosularis,28.83,92.03 +Lobularia maritima,34.28,108.07 +Megacarpaea delavayi,30.845206,102.715405 +Megacarpaea polyandra,32.97,98.1 +Megadenia pygmaea,35.14,100.61 +Metashangrilaia forrestii,30.15,97.27 +Mutarda nigra,43.533333,111.73333 +Nasturtium officinale,37.83,112.52 +Noccaea andersonii,29.85,95.76 +Noccaea cochlearioides,48.65,116.662222 +Noccaea thlaspidioides,34.43,104.03 +Noccaea yunnanensis,29.2189,101.516 +Olimarabidopsis pumila,43.22,81.84 +Orychophragmus violaceus,31.342213,121.365958 +Parrya glabra,29.68,89.09 +Parrya pinnatifida,29.68,89.09 +Parryodes axilliflora,26.9,117.17 +Pulvinatusia xuegulaensis,0,0 +Pycnoplinthopsis bhutanica,27.928607,101.279419 +Pycnoplinthus uniflora,37.06,82.69 +Raphanus sativus,32.055645,118.797741 +Rorippa dubia,29.78,118.18 +Rorippa elata,30.05,101.96 +Rorippa indica,30.27,120.17 +Rorippa palustris,45.79,126.66 +Shehbazia tibetica,35.067748,100.610225 +Sinoarabis setosifolia,30.906944,98.193611 +Sisymbriopsis mollipila,37.77,75.22 +Sisymbriopsis shuanghuica,37.77,75.22 +Sisymbrium brassiciforme,30.29,81.17 +Sisymbrium heteromallum,31.4,95.63 +Sisymbrium officinale,28.66,97.46 +Smelowskia annua,37.77,75.22 +Smelowskia bartholomewii,31.1228,97.0233 +Smelowskia sunhangii,31.466476,110.31236 +Smelowskia tibetica,38.116667,76.133333 +Solms-laubachia baiogoinensis,31.39,90 +Solms-laubachia calcicola,31.400278,96.679722 +Solms-laubachia eurycarpa,32.2558,96.3258 +Solms-laubachia himalayensis,31.47,79.8 +Solms-laubachia jafrii,32,90 +Solms-laubachia lanata,29.65,91.12 +Solms-laubachia linearifolia,28.48611,98.911543 +Solms-laubachia linearis,37.88,77.41 +Solms-laubachia marinellii,33.38,79.73 +Solms-laubachia mieheorum,29.683333,86.716667 +Solms-laubachia parryoides,28.55,89.68 +Solms-laubachia platycarpa,27.48,88.9 +Solms-laubachia prolifera,34.78,92.88 +Solms-laubachia pulcherrima,28.537778,99 +Solms-laubachia retropilosa,29.1461,100.038 +Solms-laubachia stewartii,31.39,90 +Solms-laubachia villosa,34.56,99.67 +Stevenia canescens,47.84,86.61 +Strigosella africana,36.85,81.67 +Tetracme pamirica,44.43,84.91 +Thlaspi arvense,28.393889,98.709444 +Thlaspi montanum,45.12,86.03 +Yinshania acutangula,36.67,114.06 +Yinshania acutangula subsp. wilsonii,29.0758,99.9189 +Yinshania zayuensis,28.48611,98.911543 +Erythropalum scandens,22.2,112.26 +Olax acuminata,25.67,98.66 +Olax nana,18.25,109.5 +Balanophora dioica,35.86,104.2 +Balanophora fargesii,29.5864,102.028 +Balanophora harlandii,25.60168,110.585686 +Balanophora involucrata,29.03,93.9 +Balanophora laxiflora,35.86,104.2 +Balanophora polyandra,35.86,104.2 +Balanophora subcupularis,23.431111,104.672222 +Rhopalocnemis phalloides,22.097768,107.957979 +Lepionurus sylvestris,21.62,101.56 +Arceuthobium chinense,32.102778,97.041944 +Arceuthobium oxycedri,31.833056,96.488333 +Arceuthobium pini,29.044722,99.711389 +Arceuthobium sichuanense,31.811944,96.511667 +Arceuthobium tibetense,28.75,94 +Dendrotrophe granulata,29.32,95.33 +Dendrotrophe platyphylla,0,0 +Korthalsella japonica,0,0 +Osyris lanceolata,0,0 +Phacellaria compressa,0,0 +Pyrularia edulis,26.466667,111.316667 +Thesium arvense,22.555882,99.932102 +Thesium bomiense,29.85,95.76 +Thesium cathaicum,36.192287,120.563074 +Thesium chinense,36.519977,103.891767 +Thesium emodi,28.48611,98.911543 +Thesium himalense,35.86,104.2 +Thesium jarmilae,37.445,105.044998 +Thesium longiflorum,28.66,97.46 +Thesium longifolium,40.33,115.62 +Thesium orgadophilum,23.351747,113.411891 +Thesium refractum,31.68115,103.853481 +Thesium tongolicum,29.87,95.77 +Viscum album,41.07,122.96 +Viscum album subsp. meridianum,28.66,97.46 +Viscum articulatum,28.85,85.29 +Viscum diospyrosicola,31.824099,108.629497 +Viscum liquidambaricola,28.85,85.29 +Viscum monoicum,23.9022,106.618742 +Viscum nudum,28.71,99.28 +Schoepfia fragrans,29.49,103.39 +Schoepfia griffithii,25.827253,100.575146 +Schoepfia jasminodora,30.12306,118.189006 +Dendrophthoe falcata,23.721633,106.843575 +Elytranthe albida,24.97,98.73 +Elytranthe parasitica,29.32,95.33 +Helixanthera intermedia,35.86,104.2 +Helixanthera ligustrina,29.32,95.33 +Helixanthera parasitica,21.613427,108.053037 +Helixanthera terrestris,29.32,95.33 +Loranthus delavayi,35.86,104.2 +Loranthus europaeus,34.42,106.95 +Loranthus lambertianus,29.32,95.33 +Macrosolen avenis,35.86,104.2 +Macrosolen cochinchinensis,29.49,103.39 +Macrosolen psilanthus,0,0 +Phyllodesmis delavayi,25.672222,100.1075 +Scurrula atropurpurea,0,0 +Scurrula buddleioides,27.7297,98.3464 +Scurrula buddleioides var. heynei,35.86,104.2 +Scurrula elata,28.85,85.29 +Scurrula ferruginea,25.0331,98.4667 +Scurrula parasitica,35.86,104.2 +Scurrula parasitica var. graciliflora,25.08,104.89 +Scurrula pulverulenta,0,0 +Taxillus caloreas,0,0 +Taxillus caloreas var. fargesii,0,0 +Taxillus levinei,27.658361,119.766711 +Taxillus reflexilobus,0,0 +Taxillus sericus,25.020615,98.490007 +Taxillus sutchuenensis,35.86,104.2 +Taxillus thibetensis,35.86,104.2 +Taxillus umbellifer,0,0 +Taxillus vestitus,35.86,104.2 +Tolypanthus involucratus,25.08,104.89 +Myricaria bracteata,30.4581,100.302 +Myricaria germanica,0,0 +Myricaria paniculata,0,0 +Myricaria prostrata,31.712092,88.118532 +Myricaria rosea,0,0 +Myricaria squamosa,35.86,104.2 +Myricaria wardii,29.7547,91.9375 +Myrtama elegans,31.13,97.18 +Reaumuria kaschgarica,0,0 +Tamarix chinensis,34.71,114.55 +Tamarix dioica,32.746389,97.347222 +Ceratostigma griffithii,29.2236,90.6319 +Ceratostigma minus,31.1,97.19 +Ceratostigma ulicinum,29.3,91.98 +Ceratostigma willmottianum,35.86,104.2 +Limonium aureum,37.47,102.89 +Plumbagella micrantha,33.76,99.4339 +Plumbago zeylanica,35.86,104.2 +Bistorta affinis,30.17,81.33 +Bistorta amplexicaulis,31.95,102.65 +Bistorta amplexicaulis subsp. sinensis,27.928607,101.279419 +Bistorta attenuatifolia,27.38,100.08 +Bistorta coriacea,31.92061,102.56017 +Bistorta emodi,35.86,104.2 +Bistorta emodi var. dependens,26.65,102.24 +Bistorta griffithii,28.398889,98.7525 +Bistorta longispicata,31.8064,99.4319 +Bistorta ludlowii,27.6961,98.4553 +Bistorta macrophylla,28.12,91.9 +Bistorta macrophylla var. stenophylla,0,0 +Bistorta milletii,27.928607,101.279419 +Bistorta officinalis,44.314,131.053 +Bistorta paleacea,27.7042,98.4422 +Bistorta perpusilla,34.55,99.12 +Bistorta sherei,29.6111,94.6517 +Bistorta sinomontana,29.1411,99.9283 +Bistorta suffulta,29.67,94.38 +Bistorta suffulta subsp. pergracilis,35.86,104.2 +Bistorta tenuifolia,31.8553,99.1131 +Bistorta tubistipulis,29.1381,99.3342 +Bistorta vacciniifolia,27.98,87.25 +Bistorta vivipara,25.22,98.5 +Eskemukerjea megacarpum,21.68,101.31 +Fagopyrum dibotrys,27.1689,98.7711 +Fagopyrum esculentum,42.6,85.5 +Fagopyrum gilesii,31.08,103.26 +Fagopyrum gracilipes,25.012526,102.700013 +Fagopyrum homotropicum,32.120833,97.035 +Fagopyrum leptopodum var. grossii,25.012526,102.700013 +Fagopyrum tataricum,32.120833,97.035 +Fagopyrum tibeticum,29.07,92.87 +Fagopyrum urophyllum,25.664325,102.650987 +Fallopia aubertii,32.40858,104.52904 +Fallopia convolvulus,46.74,82.97 +Fallopia dentatoalata,39.836689,115.573811 +Knorringia sibirica,46.35,122.93 +Knorringia sibirica subsp. thomsonii,29.65,91.12 +Koenigia alpina,36.145628,120.677983 +Koenigia campanulata,26.084219,102.842292 +Koenigia campanulata var. fulvida,27.48,88.9 +Koenigia cathayana,30.2525,100.25833 +Koenigia chuanzangensis,31.712092,88.118532 +Koenigia cyanandra,35.86,104.2 +Koenigia delicatula,31.712092,88.118532 +Koenigia divaricata,45.354,129.542 +Koenigia fertilis,30.29,81.17 +Koenigia filicaulis,27.48,88.9 +Koenigia forrestii,30.139664,101.781752 +Koenigia hookeri,30.05,96.91 +Koenigia islandica,32.752778,97.214722 +Koenigia mollis,35.86,104.2 +Koenigia mollis var. frondosa,35.86,104.2 +Koenigia mollis var. rudis,35.86,104.2 +Koenigia nummulariifolia,29.58,95.02 +Koenigia pilosa,34.75,100.22 +Koenigia polystachya,29.76,94.74 +Koenigia tortuosa,30.12,92.16 +Koenigia tortuosa var. glabrifolia,29.87,92.28 +Oxyria digyna,35.86,104.2 +Oxyria sinensis,29.62,98.33 +Parogonum cynanchoides,28.26,108.11 +Parogonum cynanchoides subsp. glabriusculum,29.32,95.33 +Persicaria amphibia,25.350556,98.621944 +Persicaria barbata,23.351747,113.411891 +Persicaria capitata,25.140358,102.741493 +Persicaria chinensis,24.917907,113.07571 +Persicaria chinensis var. ovalifolia,35.86,104.2 +Persicaria chinensis var. paradoxa,25.066667,102.616667 +Persicaria decipiens,23.116667,113.25 +Persicaria filiformis,29.836268,109.453384 +Persicaria glabra,23.116667,113.25 +Persicaria glacialis,30.63,91.53 +Persicaria greuteriana,35.86,104.2 +Persicaria hastatosagittata,41.451,127.92 +Persicaria humilis,33,114.36 +Persicaria hydropiper,47.617,87.917 +Persicaria japonica,22.596631,114.026892 +Persicaria jucunda,32.061667,118.825833 +Persicaria kawagoeana,22.99417,102.392353 +Persicaria lapathifolia,42.78,128.51 +Persicaria lapathifolia var. lanata,42.78,128.51 +Persicaria longiseta,24.48333,109.73333 +Persicaria longiseta var. rotundata,31.237023,120.406916 +Persicaria microcephala,22.84,103.22 +Persicaria microcephala var. sphaerocephala,28.66,97.46 +Persicaria minor,43.815,127.972 +Persicaria muricata,27.187099,114.384981 +Persicaria nepalensis,41.843,126.886 +Persicaria orientalis,32.144677,110.712211 +Persicaria palmata,24.792294,114.258316 +Persicaria perfoliata,43.18,126.547 +Persicaria posumbu,41.754,125.04 +Persicaria praetermissa,29.61,115.99 +Persicaria pubescens,30.56,120.06 +Persicaria runcinata,30.05,101.96 +Persicaria runcinata var. sinensis,28.109799,113.028271 +Persicaria sagittata var. sieboldii,46.621089,131.188227 +Persicaria sinuata,43.7,127.139 +Persicaria strigosa,25.62,110.67 +Persicaria strindbergii,23.363,104.250727 +Persicaria taquetii,30.273977,120.172974 +Persicaria thunbergii,43.7,127.139 +Persicaria virginiana,25.62,110.67 +Polygonum aviculare,39.92,116.42 +Polygonum chayuum,38.073254,104.69114 +Polygonum cognatum,31.47,79.8 +Polygonum cognatum subsp. chitralicum,28.85,85.29 +Polygonum fusco-ochreatum,43.12,128.9 +Polygonum paleaceum var. pubifolium,29.65,91.12 +Polygonum paronychioides,31.47,79.8 +Polygonum plebeium,24.958914,99.739478 +Pteroxygonum giraldii,33.524483,107.990638 +Rheum acuminatum,27.780729,99.586533 +Rheum alexandrae,27.624651,99.644356 +Rheum australe,27.98,87.23 +Rheum delavayi,28.4,98.97 +Rheum forrestii,29.3858,100.149 +Rheum glabricaule,33.4,104.92 +Rheum globulosum,28.36,87.76 +Rheum inopinatum,31.49,98.21 +Rheum lhasaense,29.14,92.59 +Rheum likiangense,26.876096,100.229945 +Rheum moorcroftianum,30.29,81.17 +Rheum nanum,45.58,84.89 +Rheum nobile,28.379936,99.006044 +Rheum officinale,29.157849,107.099276 +Rheum palmatum,29.6367,98.139 +Rheum przewalskyi,32.2997,96.5414 +Rheum pumilum,32.675,97.2944 +Rheum racemiferum,39.83,108.73 +Rheum reticulatum,35.355833,99.133889 +Rheum rhizostachyum,37.1,79.93 +Rheum rhomboideum,31.39,90 +Rheum spiciforme,28.85,85.29 +Rheum sublanceolatum,35.2,102.52 +Rheum tanguticum,33.290107,101.112238 +Rheum tibeticum,32.0803,97.02 +Rheum webbianum,29.29,87.23 +Rheum yunnanense,26.453601,99.416689 +Rumex acetosa,32.991111,97.348056 +Rumex angulatus,33.38,79.73 +Rumex crispus,33.52,107.99 +Rumex dentatus,26.24,105.93 +Rumex gmelinii,39,112.3 +Rumex hastatus,27.37,102.53 +Rumex japonicus,40.5,117.09 +Rumex maritimus,30.56,114.38 +Rumex nepalensis,25.38,100.95 +Drosera peltata,27.44883,99.822212 +Acanthophyllum cerastioides,28.85,85.29 +Arenaria monosperma,29.14,92.59 +Arenaria neelgherrensis,25,102 +Arenaria orbiculata,27.97,87.22 +Arenaria oreophila,31.8,98.58 +Arenaria przewalskii,34.4692,100.393 +Arenaria puranensis,28.12,87.33 +Arenaria serpyllifolia,31.33,110.78 +Arenaria smithiana,35.86,104.2 +Brachystemma calycinum,23.9,106.61 +Cerastium arvense,39,112.3 +Cerastium arvense subsp. strictum,39.672585,114.929375 +Cerastium fontanum,31.297939,121.527435 +Cerastium fontanum subsp. grandiflorum,29.63,94.36 +Cerastium fontanum subsp. vulgare,26.0006,98.6619 +Cerastium furcatum,26.876096,100.229945 +Cerastium glomeratum,25,111 +Cerastium pusillum,43.81,87.6 +Cerastium thomsonii,38.9,75.2 +Dianthus orientalis,44.31,86.31 +Dianthus superbus,33.734722,110.368333 +Dichodon cerastoides,47.810049,88.069013 +Dolophragma globiflorum,21.68,101.42 +Dolophragma juniperinum,30.055,101.96417 +Dolophragma polytrichoides,30.055,101.96417 +Drymaria diandra,24.7,117.31 +Drymaria villosa,28.17,85.98 +Eremogone acicularis,31.712092,88.118532 +Eremogone aksayqingensis,42.920528,129.86625 +Eremogone baxoiensis,30.05,96.91 +Eremogone brevipetala,32.8831,96.685 +Eremogone bryophylla,30.664439,90.63937 +Eremogone capillaris,49.58,117.48 +Eremogone depauperata,25.25,106.17 +Eremogone edgeworthiana,31.09787,81.336749 +Eremogone festucoides,30.29,81.17 +Eremogone gerzensis,37.62,78.28 +Eremogone griffithii,33.01,97.01 +Eremogone haitzeshanensis,31.8,98.58 +Eremogone ischnophylla,30.05,101.96 +Eremogone juncea,42.920528,129.86625 +Eremogone kansuensis,36.331283,101.303238 +Eremogone pulvinata,29.05,93.98 +Eremogone qinghaiensis,32.51,91.83 +Eremogone roborowskii,33.376944,100.29 +Eremogone shannanensis,28.48611,98.911543 +Gypsophila vaccaria,35.86,104.2 +Himgiria compressa,24.52,117.37 +Lepyrodiclis holosteoides,36.47758,100.536638 +Minuartia macrocarpa,43,128 +Moehringia trinervia,29.157849,107.099276 +Odontostemma amdoense,29.68,89.1 +Odontostemma auricomum,29.63,94.36 +Odontostemma barbatum,28.46357,98.91699 +Odontostemma barbatum var. hirsutissimum,30.99903,102.364372 +Odontostemma bomiense,31.852663,96.424628 +Odontostemma chamdoense,32.27,96.22 +Odontostemma delavayi,35.86,104.2 +Odontostemma euodontum,35.86,104.2 +Odontostemma fimbriatum,31.852663,96.424628 +Odontostemma fridericae,27.82308,99.706013 +Odontostemma glandulosum,35.86,104.2 +Odontostemma littledalei,29.04,93.07 +Odontostemma longistylum,31.4,96.68 +Odontostemma melanandrum,31.852663,96.424628 +Odontostemma melandryiforme,31.852663,96.424628 +Odontostemma melandryoides,31.852663,96.424628 +Odontostemma monanthum,31.852663,96.424628 +Odontostemma moniliferum,29.22,94.22 +Odontostemma napuligerum var. monocephalum,25.584234,100.222124 +Odontostemma nivalomontanum,29.63,94.36 +Odontostemma pharense,31.852663,96.424628 +Odontostemma pogonanthum,35.86,104.2 +Odontostemma reductum,30.055305,101.96483 +Odontostemma roseiflorum,28.4,98.4 +Odontostemma saginoides,33.52,91.97 +Odontostemma setiferum,35.86,104.2 +Odontostemma spathulifolium,27.928607,101.279419 +Odontostemma szechuense,28.91,89.6 +Odontostemma trichophora,35.86,104.2 +Odontostemma trichophorum,35.86,104.2 +Odontostemma tumengelaense,32.27,91.68 +Odontostemma yunnanense,28.932073,99.79929 +Polycarpon prostratum,22.54,114.05 +Psammosilene tunicoides,29.0447,99.7114 +Pseudostellaria davidii,29.1419,99.6497 +Pseudostellaria heterantha,40.44,117.72 +Pseudostellaria himalaica,29.1031,99.6319 +Pseudostellaria sylvatica,47.77,128.91 +Pseudostellaria tibetica,31.5,98.22 +Sabulina kashmirica,29.85,95.76 +Sagina japonica,29.805032,106.395571 +Sagina maxima,29.805032,106.395571 +Sagina procumbens,28.85,85.29 +Sagina saginoides,35.86,104.2 +Schizotechium monospermum,27.24,105.72 +Schizotechium paniculatum,29.32,95.33 +Shivparvatia ciliolata,32,90 +Shivparvatia forrestii,35.501858,99.51413 +Shivparvatia glanduligera,31.092739,81.289751 +Shivparvatia ramellata,30.055305,101.96483 +Shivparvatia rhodantha,29.14,92.59 +Shivparvatia stracheyi,34.99639,81.09333 +Silene adenocalyx,29.04,93.07 +Silene akiyamae,38.073254,104.69114 +Silene aprica,41.933,124.207 +Silene asclepiadea,30.06,102.75 +Silene atsaensis,29.85,95.76 +Silene baccifera,41.517,127.264 +Silene batangensis,30,99.1 +Silene bilingua,30,99.1 +Silene birgittae,36.0769,120.3017 +Silene caespitella,29.65,91.12 +Silene cardiopetala,31.05,109.41 +Silene cashmeriana,28.85,85.29 +Silene colorata,27.35,113.449997 +Silene conoidea,32.059064,119.418318 +Silene davidii,28.8164,99.2158 +Silene delavayi,27.03,100.23 +Silene esquamata,31.37,109.62 +Silene gonosperma,34.560278,99.521389 +Silene gracilicaulis,34.75,100.22 +Silene graminifolia,46.52,89.47 +Silene herbilegorum,28.93,99.79 +Silene himalayensis,28.649583,98.615834 +Silene holosteifolia,38.073254,104.69114 +Silene huguettiae,28.93,99.79 +Silene huguettiae var. pilosa,27.82308,99.706013 +Silene indica,27.75,89 +Silene jugora,32,90 +Silene kialensis,31.62,99.99 +Silene kumaonensis,29.63,94.36 +Silene lhassana,31.712092,88.118532 +Silene markamensis,29.690001,98.599998 +Silene monbeigii,29.6375,98.90833 +Silene moorcroftiana,29.00333,89.61833 +Silene multifurcata,28,91.95 +Silene namlaensis,29.63,94.36 +Silene nangqenensis,32.27,96.22 +Silene napuligera,31.8,98.58 +Silene nepalensis,27.48,88.9 +Silene nigrescens,27.48,88.9 +Silene nigrescens subsp. latifolia,30.05,96.91 +Silene nutans,31.25,121.4 +Silene pterosperma,30.47,91.09 +Silene pubicalycina,27.82308,99.706013 +Silene puranensis,28.85,85.3 +Silene rubricalyx,32,90 +Silene subcretacea,29.620758,94.933625 +Silene tibetica,27.129292,100.235176 +Silene trachyphylla,32.27,96.22 +Silene tubulosa,36.519977,103.891767 +Silene wardii,30.42,93.83 +Silene yetii,29.037008,100.298406 +Silene yunnanensis,35.86,104.2 +Silene zayuensis,28.67,97.47 +Silene zhongbaensis,0,0 +Silene zhoui,0,0 +Stellaria alaschanica,34.6833,100.683 +Stellaria alsine,25.4,109.06 +Stellaria aquatica,0,0 +Stellaria arenarioides,35.68,94.23 +Stellaria brachypetala,0,0 +Stellaria congestiflora,0,0 +Stellaria crassifolia var. linearis,27.177166,99.28717 +Stellaria decumbens,0,0 +Stellaria decumbens var. arenarioides,30.979541,101.125234 +Stellaria decumbens var. polyantha,0,0 +Stellaria decumbens var. pulvinata,28.48611,98.911543 +Stellaria depressa,31.004422,81.36905 +Stellaria dianthifolia,29.046341,93.074702 +Stellaria graminea,32.746389,97.347222 +Stellaria graminea var. chinensis,0,0 +Stellaria graminea var. pilosula,28.85,85.29 +Stellaria gyangtseensis,29.65,91.12 +Stellaria gyirongensis,29.32,95.33 +Stellaria infracta,0,0 +Stellaria lanata,0,0 +Stellaria mainlingensis,28.932073,99.79929 +Stellaria media,0,0 +Stellaria motuoensis,0,0 +Stellaria neglecta,31.526047,120.31968 +Stellaria nepalensis,0,0 +Stellaria omeiensis,29.046508,110.480383 +Stellaria ovatifolia,19.200505,109.74159 +Stellaria pallida,0,0 +Stellaria palustris,0,0 +Stellaria patens,28.11,98.77 +Stellaria petiolaris,35.86,104.2 +Stellaria pusilla,26.09196,120.54154 +Stellaria reticulivena,25.714167,98.69 +Stellaria semivestita,28.93,85.4 +Stellaria sikkimensis,0,0 +Stellaria souliei,29.1025,99.6708 +Stellaria subumbellata,28.66,97.46 +Stellaria uda,31.80612,98.580912 +Stellaria umbellata,34.334167,100.509444 +Stellaria vestita,35.86,104.2 +Stellaria wallichiana,0,0 +Thylacospermum caespitosum,0,0 +Achyranthes aspera,35.86,104.2 +Achyranthes bidentata,24.8309,98.767998 +Acroglochin persicarioides,32.144677,110.712211 +Agriophyllum squarrosum,39.333333,106.983333 +Agriophyllum tibeticum,29.12,93.68 +Alternanthera philoxeroides,24.983333,112.833333 +Alternanthera pungens,24.47,118.08 +Alternanthera sessilis,26.43,110.85 +Amaranthus blitum,45.354,128.731 +Amaranthus caudatus,29.671778,115.989221 +Amaranthus cruentus,36.7,114.2 +Amaranthus graecizans subsp. thellungianus,38.073254,104.69114 +Amaranthus hybridus,26.24,105.93 +Amaranthus hypochondriacus,25.012526,102.700013 +Amaranthus retroflexus,37.55,112.15 +Amaranthus spinosus,22.83,115.05 +Amaranthus tricolor,46.940847,133.56425 +Amaranthus viridis,24.399244,109.379926 +Atriplex centralasiatica,36.193333,100.715 +Atriplex pallida,38.073254,104.69114 +Axyris mira,33.153889,97.543056 +Axyris prostrata,30.29,81.17 +Bassia scoparia,40.001476,116.396339 +Blitum litwinowii,38.937361,121.139583 +Bosea amherstiana,22.446542,111.031652 +Celosia argentea,25.758375,110.120117 +Celosia cristata,27.2,109.83 +Chenopodiastrum badachschanicum,32.066667,97.033333 +Chenopodiastrum hybridum,41.719,125.926 +Chenopodium acuminatum,38.86,115.47 +Chenopodium acuminatum subsp. virgatum,30.27,120.17 +Chenopodium album,32.927222,97.266667 +Chenopodium atripliciforme,38.073254,104.69114 +Chenopodium bryoniifolium,38.86,115.47 +Chenopodium ficifolium,46.940847,133.56425 +Chenopodium giganteum,31.82,108.62 +Chenopodium iljinii,32.9222,97.2917 +Chenopodium karoi,32.3,84.06 +Chenopodium pamiricum,38.97,75.42 +Chenopodium perttii,38.073254,104.69114 +Chenopodium polyspermum,38.073254,104.69114 +Chenopodium suecicum,38.073254,104.69114 +Corispermum dutreuilii,32.3,84.06 +Corispermum dutreuilii var. montanum,32.3,84.06 +Corispermum falcatum,28.91,89.6 +Corispermum gelidum,33.38,79.73 +Corispermum lepidocarpum,31.712092,88.118533 +Corispermum lhasaense,29.65,91.12 +Corispermum nanum,36.519977,103.891767 +Corispermum pamiricum,29.08,87.63 +Corispermum pamiricum var. pilocarpum,33.38,79.73 +Corispermum pseudofalcatum,29.27,88.88 +Corispermum tibeticum,32.9986,97.2517 +Cyathula capitata,29.32,95.33 +Cyathula officinalis,30.06,102.75 +Cyathula prostrata,22.08,109.87 +Cyathula tomentosa,28.85,85.29 +Deeringia amaranthoides,24.58669,98.689166 +Dysphania ambrosioides,22.8,113.52 +Dysphania bhutanica,27.928607,101.279419 +Dysphania botrys,44.32,85.61 +Dysphania geoffreyi,33.38,79.73 +Dysphania himalaica,27.791447,99.582588 +Dysphania kitiae,34.04028,104.45222 +Dysphania nepalensis,42.6,85.5 +Dysphania schraderiana,33.38,79.73 +Dysphania tibetica,28.91,89.6 +Grubovia dasyphylla,39.333333,106.983333 +Halogeton glomeratus,42.942326,89.185928 +Halogeton glomeratus var. tibeticus,39.733693,98.496466 +Kali collinum,28.916667,89.6 +Kali monopterum,38.62,103.08 +Kali nepalense,27.629986,99.685448 +Kali tragus,38.62,103.08 +Krascheninnikovia ceratoides,32.280833,96.463056 +Krascheninnikovia compacta,42.6,85.5 +Krascheninnikovia compacta var. longipilosa,30.93,88.7 +Microgynoecium tibeticum,34.43808,104.036837 +Neobotrydium ornithopodum,0,0 +Ouret sanguinolenta,27.71,102.8 +Oxybasis glauca,40.001476,116.396339 +Psilotrichum ferrugineum,18.626309,109.700342 +Salsola austrotibetica,29.48,94.68 +Salsola hartmannii,36.83,122.59 +Salsola jacquemontii,28.85,85.29 +Spinacia oleracea,35.86,104.2 +Stilbanthus scandens,41.881,126.38 +Suaeda corniculata,36.193333,100.715 +Suaeda corniculata var. olufsenii,32.27,96.22 +Suaeda prostrata,35.98,109.37 +Sympegma regelii,36.1933,100.715 +Teloxys aristata,39.830769,116.268246 +Phytolacca acinosa,35.86,104.2 +Phytolacca americana,23.17,113.36 +Phytolacca polyandra,29.496119,103.398589 +Boerhavia diffusa,19.200505,109.74159 +Bougainvillea glabra,19.59,110.2 +Bougainvillea spectabilis,30.27,120.17 +Commicarpus lantsangensis,27.32,100.24 +Mirabilis jalapa,24.706769,102.928677 +Oxybaphus himalaicus,28.48611,98.911543 +Oxybaphus himalaicus var. chinensis,28.48611,98.911543 +Paramollugo nudicaulis,18.252625,109.511923 +Trigastrotheca stricta,24.160828,113.085957 +Portulaca oleracea,30.27,120.17 +Hylocereus undatus,22.33,110.27 +Opuntia ficus-indica,23.625319,105.630906 +Opuntia monacantha,26.876096,100.229945 +Opuntia stricta,21.97,100.45 +Mastixia pentandra subsp. chinensis,22.01071,100.799775 +Nyssa javanica,35.86,104.2 +Nyssa sinensis,30.353794,119.436458 +Deutzia aspera,28.2875,98.866945 +Deutzia bomiensis,29.85,95.76 +Deutzia compacta,30,94.88 +Deutzia corymbosa,28.93,93.23 +Deutzia grandiflora,40.53333,115.78333 +Deutzia hookeriana,35.86,104.2 +Deutzia longifolia,29.6375,98.90833 +Deutzia monbeigii,35.86,104.2 +Deutzia parviflora var. micrantha,38.79,113.43 +Deutzia purpurascens,35.86,104.2 +Deutzia staminea,27.82308,99.706013 +Deutzia wardiana,28.661276,97.466916 +Dichroa febrifuga,25.5,99.0833 +Hydrangea anomala,35.86,104.2 +Hydrangea aspera,36.519977,103.891767 +Hydrangea bretschneideri,35.86,104.2 +Hydrangea chinensis,36.519977,103.891767 +Hydrangea heteromalla,28.5,85.22 +Hydrangea hypoglauca,35.86,104.2 +Hydrangea macrocarpa,25.584234,100.222124 +Hydrangea macrophylla,30.353794,119.436458 +Hydrangea robusta,30.0092,94.9669 +Hydrangea strigosa,28.94,102.249 +Philadelphus delavayi,27.928789,99.615234 +Philadelphus delavayi var. trichocladus,27.928607,101.279419 +Philadelphus laxiflorus,34.05,111.04 +Philadelphus purpurascens,27.080662,100.261261 +Philadelphus tomentosus,25.6,115.78 +Pileostegia viburnoides,35.86,104.2 +Alangium alpinum,35.86,104.2 +Alangium chinense,30.120006,120.037866 +Alangium faberi var. dolichocarpum,26.72,110.63 +Alangium kurzii,30.124307,120.042084 +Cornus capitata,24.9892,98.5908 +Cornus chinensis,30.973316,112.261267 +Cornus controversa,41.806,126.907 +Cornus hemsleyi,31.7256,100.744 +Cornus macrophylla,36.519977,103.891767 +Cornus macrophylla var. stracheyi,30.0092,94.9669 +Cornus oblonga,25.4036,98.7178 +Cornus oblonga var. glabrescens,35.86,104.2 +Cornus oblonga var. griffithii,27.92,101.27 +Cornus schindleri,28.375,99.7653 +Cornus schindleri subsp. poliophylla,31.82,108.62 +Cornus sunhangii,29.32,95.38 +Cornus ulotricha,30.663372,113.166529 +Impatiens amplexicaulis,27.82308,99.706013 +Impatiens apsotis,30.2219,99.2583 +Impatiens arguta,25.584234,100.222124 +Impatiens ashihoi,25.0167,102.6833 +Impatiens aureliana,21.957355,100.452547 +Impatiens bahanensis,35.86,104.2 +Impatiens balsamina,30.559627,114.322539 +Impatiens benthamii,32,90 +Impatiens bicornuta,28.85,85.29 +Impatiens bomiensis,30.4578,100.302 +Impatiens brachycentra,44.32,85.61 +Impatiens bracteata,28,91.95 +Impatiens bracteolata,29.16,107.1 +Impatiens cathcartii,27.6303,98.6217 +Impatiens chimiliensis,35.86,104.2 +Impatiens chinensis,22.311272,112.525405 +Impatiens clavigera,22.983563,103.687613 +Impatiens conaensis,28,91.95 +Impatiens crassicaudex,30.65,97.56 +Impatiens cristata,28,91.95 +Impatiens cymbifera,28.17,85.98 +Impatiens davidii,30.222233,110.871148 +Impatiens delavayi,35.86,104.2 +Impatiens desmantha,27.7408,98.66 +Impatiens discolor,29.93,94.88 +Impatiens drepanophora,28.48611,98.911543 +Impatiens falcifer,28.17,85.98 +Impatiens fragicolor,29.7786,94.7247 +Impatiens gammiei,18.62,109.7 +Impatiens harae,27.208611,98.723333 +Impatiens infirma,29.14,92.59 +Impatiens jurpia,25.0167,102.6833 +Impatiens khasiana,24.9936,102.459 +Impatiens laevigata,25.0167,102.6833 +Impatiens latiflora,28.55,85.3 +Impatiens laxiflora,29.075833,99.918889 +Impatiens linghziensis,29.63,94.4 +Impatiens longipes,27.48,88.9 +Impatiens margaritifera,27.8984,98.6947 +Impatiens margaritifera var. humilis,28.7464,100.269 +Impatiens margaritifera var. purpurascens,29.05,93.07 +Impatiens martinii,25.17,110.35 +Impatiens medongensis,25.0167,102.6833 +Impatiens meruensis,29.32,95.33 +Impatiens namchabarwensis,25.0167,102.6833 +Impatiens noli-tangere,38.79,113.43 +Impatiens nubigena,27.928607,101.279419 +Impatiens nyimana,29.85,95.76 +Impatiens occultans,25.0167,102.6833 +Impatiens paludosa,36.549999,118.714996 +Impatiens pasighatensis,25.0167,102.6833 +Impatiens pathakiana,25.0167,102.6833 +Impatiens porrecta,25.166667,98.6 +Impatiens pseudocitrina,25.0167,102.6833 +Impatiens pseudolaevigata,25.0167,102.6833 +Impatiens pseudolongipes,27.48,88.9 +Impatiens puberula,30,94.9 +Impatiens pulchra,21.475834,101.56752 +Impatiens purpurea,27.177166,99.28717 +Impatiens racemosa,29.32,95.33 +Impatiens racemosa var. ecalcarata,25.790801,114.537223 +Impatiens radiata,35.86,104.2 +Impatiens rectangula,26.901731,98.869207 +Impatiens rugosipetala,25.0167,102.6833 +Impatiens scabrida,27.48,88.9 +Impatiens serrata,28.85,85.29 +Impatiens shiyomiensis,25.0167,102.6833 +Impatiens siangensis,25.0167,102.6833 +Impatiens siculifer,35.86,104.2 +Impatiens soulieana,31.9822,100.964 +Impatiens stenentha,25.0167,102.6833 +Impatiens sulcata,28.1217,85.99 +Impatiens tajoensis,25.0167,102.6833 +Impatiens tenuibracteata,29.700995,95.523805 +Impatiens thomsonii,27.48,88.9 +Impatiens tirbinensis,25.0167,102.6833 +Impatiens tripetala,24.35,114.270004 +Impatiens tuberculata,27.48,88.9 +Impatiens uncipetala,27.707222,98.544722 +Impatiens unguiculata,41.4,128.183333 +Impatiens urticifolia,29.03,93.92 +Phlox drummondii,29.8,106.4 +Phlox paniculata,40.02,116.21 +Barringtonia acutangula,21.932336,101.24901 +Careya arborea,32.033333,103.683333 +Adinandra griffithii,35.86,104.2 +Adinandra hirta,22.46,107.83 +Adinandra kamalae,35.86,104.2 +Cleyera japonica var. wallichiana,35.86,104.2 +Eurya acuminata,35.86,104.2 +Eurya arunachalensis,24.980556,113.020833 +Eurya cavinervis,35.86,104.2 +Eurya chukiangensis,27.7158,98.4239 +Eurya crassilimba,29.32,95.33 +Eurya gracilipes,24.980556,113.020833 +Eurya groffii,26.266108,107.525074 +Eurya gungshanensis,35.86,104.2 +Eurya handel-mazzettii,35.86,104.2 +Eurya inaequalis,35.86,104.2 +Eurya japonica,36.519977,103.891767 +Eurya loquaiana,28.699045,109.405309 +Eurya nitida,25.507746,115.644124 +Eurya paratetragonoclada,35.86,104.2 +Eurya pseudocerasifera,35.86,104.2 +Eurya taronensis,35.86,104.2 +Eurya trichocarpa,35.86,104.2 +Eurya tsaii,35.86,104.2 +Ternstroemia biangulipes,35.86,104.2 +Ternstroemia gymnanthera,26.466667,111.316667 +Diploknema butyracea,26.631536,99.726747 +Diploknema butyraceoides,0,0 +Donella lanceolata,23.91,116.27 +Madhuca longifolia,18.252625,109.511923 +Mimusops elengi,28.58,105.7 +Palaquium obovatum,21.919381,101.270883 +Palaquium polyanthum,21.925852,101.253075 +Sarcosperma arboreum,25.2975,98.7953 +Sarcosperma griffithii,22.01071,100.799775 +Sarcosperma kachinense,18.516726,110.029085 +Diospyros cacharensis,22.906042,103.697061 +Diospyros kaki,29.5367,107.2833 +Diospyros lanceifolia,35.86,104.2 +Diospyros lotus,36.519977,103.891767 +Diospyros malabarica,23.59,103.3 +Diospyros nigricans,26.4,110.8 +Diospyros toposia,26.4,110.8 +Diospyros variegata,29.32,95.33 +Amblyanthopsis membranacea,25.045286,102.709729 +Amblyanthus chenii,26.837264,116.325752 +Amblyanthus glandulosus,29.48667,91.83278 +Amblyanthus obovatus,29.72,98.45 +Androsace adenocephala,29.32,95.33 +Androsace bisulca,29.65,91.12 +Androsace bulleyana,27.2536,100.153 +Androsace ciliifolia,28.36,87.76 +Androsace croftii,28.3523,85.7833 +Androsace cuttingii,31.1619,96.1836 +Androsace delavayi,28.401089,99.451408 +Androsace elatior,32.77,96.67 +Androsace erecta,34.683333,100.683333 +Androsace forrestiana,29.1081,99.9078 +Androsace geraniifolia,31.49,98.21 +Androsace globifera,28.65,87.12 +Androsace gmelinii,33.895833,99.680556 +Androsace graceae,35.86,104.2 +Androsace graminifolia,28.91,89.6 +Androsace henryi,35.86,104.2 +Androsace hookeriana,29.63,94.36 +Androsace laggeri,27.48,88.9 +Androsace lehmannii,28.36667,85.83333 +Androsace mariae,36.63,101.2 +Androsace mollis,28.66,97.46 +Androsace nortonii,28.35,90.9 +Androsace ovalifolia,28.3523,85.7833 +Androsace pomeiensis,29.87,95.77 +Androsace robusta,28.85,85.29 +Androsace rotundifolia,31.47,79.8 +Androsace rotundifolia var. glandulosa,31.47,79.8 +Androsace sarmentosa,28.3523,85.7833 +Androsace selago,30.17,97.27 +Androsace squarrosula,35.55,99.56 +Androsace stenophylla,29.65,91.12 +Androsace strigillosa,36.519977,103.891767 +Androsace tanggulashanensis,29.68,89.09 +Androsace tapete,34.345278,100.255 +Androsace umbellata,40.02,116.21 +Androsace wardii,27.81908,99.70305 +Androsace yargongensis,31.80612,98.580912 +Androsace zambalensis,32.883056,96.685 +Androsace zayulensis,31.712092,88.118532 +Ardisia colorata,22.788611,100.974722 +Ardisia crenata,26.466667,111.316667 +Ardisia crispa,23.763342,98.82524 +Ardisia garrettii,22.79,103.09 +Ardisia griffithii,22.013258,100.787354 +Ardisia humilis,18.46111,109.645 +Ardisia icara,22.788611,100.974722 +Ardisia japonica,36.519977,103.891767 +Ardisia macrocarpa,27.156389,98.805833 +Ardisia medogensis,29.326875,95.328655 +Ardisia paniculata,22.788611,100.974722 +Ardisia pedunculosa,22.788611,100.974722 +Ardisia polysticta,22.788611,100.974722 +Ardisia rhynchophylla,41.4,128.183333 +Ardisia solanacea,23.763342,98.82524 +Ardisia thomsonii,35.86,104.2 +Ardisia thyrsiflora,21.68,101.31 +Bryocarpum himalaicum,29.69895,95.558833 +Embelia arunachalensis,28.76758,110.244433 +Embelia floribunda,35.86,104.2 +Embelia gamblei,27.7222,98.4169 +Embelia parviflora,35.86,104.2 +Embelia ribes,35.86,104.2 +Embelia tsjeriam-cottam,22.983563,103.687613 +Embelia undulata,27.7431,98.3469 +Embelia vestita,35.86,104.2 +Hymenandra wallichii,27.129196,100.235283 +Lysimachia alternifolia,29.42,83.67 +Lysimachia assamica,24.8325,98.7693 +Lysimachia chenopodioides,25.584234,100.222124 +Lysimachia congestiflora,30.559627,114.322539 +Lysimachia debilis,35.86,104.2 +Lysimachia decurrens,36.519977,103.891767 +Lysimachia deltoidea,26.876096,100.229945 +Lysimachia evalvis,22.555882,99.932102 +Lysimachia laxa,35.86,104.2 +Lysimachia maritima,46.55,122.93 +Lysimachia medogensis,29.33,95.33 +Lysimachia prolifera,26.088547,103.176727 +Lysimachia tsarongensis,35.86,104.2 +Maesa arunachalensis,28.769348,118.177471 +Maesa cavinervis,29.3253,95.333197 +Maesa chisia,24.8308,98.7678 +Maesa lanceolata,28.769348,118.177471 +Maesa marioniae,27.7386,98.3489 +Maesa maxima,28.769348,118.177471 +Maesa nayarii,28.769348,118.177471 +Maesa rugosa,28.66,97.46 +Maesa truncata,28.769348,118.177471 +Maesa ziroensis,28.769348,118.177471 +Myrsine africana,26.266108,107.525074 +Myrsine capitellata,26.9,98.85 +Myrsine kwangsiensis,25.13,105.39 +Myrsine seguinii,29.15,112.5 +Myrsine semiserrata,35.86,104.2 +Omphalogramma brachysiphon,29.32,95.33 +Omphalogramma elegans,35.86,104.2 +Omphalogramma elwesianum,27.6961,98.4553 +Omphalogramma minus,35.86,104.2 +Omphalogramma souliei,35.86,104.2 +Omphalogramma tibeticum,31.712092,88.118532 +Omphalogramma vinciflorum,28.93,99.79 +Pomatosace filicula,35.2,102.52 +Primula advena,26.088547,103.176727 +Primula advena var. euprepes,27.82308,99.706013 +Primula agleniana,35.86,104.2 +Primula aliciae,29.58,94.98 +Primula alpicola,29.32,95.33 +Primula amethystina subsp. brevifolia,26.901731,98.869207 +Primula arunachalensis,25.104264,107.509707 +Primula assamica,24.8325,98.7693 +Primula atrodentata,29.63,94.36 +Primula baileyana,29.58,95 +Primula barbatula,31.712092,88.118532 +Primula bella,27.791157,99.582642 +Primula bellidifolia,28.3,90.85 +Primula blandula,27.80555,99.90638 +Primula blinii,28.576389,99.85 +Primula bomiensis,30.4578,100.302 +Primula bracteata,28.71,99.28 +Primula bracteosa,28.66,97.46 +Primula buryana,28.36,87.76 +Primula caldaria,24.976725,101.487417 +Primula calderiana,29.63,94.36 +Primula calliantha subsp. bryophila,35.86,104.2 +Primula calliantha subsp. mishmiensis,35.86,104.2 +Primula calthifolia,36.519977,103.891767 +Primula candicans,31.712092,88.118532 +Primula capitata,29.32,95.33 +Primula capitata subsp. lacteocapitata,28.66,97.46 +Primula capitata subsp. sphaerocephala,28.66,97.46 +Primula caveana,28.63806,98.61222 +Primula cawdoriana,29.62,94.58 +Primula chamaedoron,31.712092,88.118532 +Primula chamaethauma,35.86,104.2 +Primula chionantha,28.7464,100.269 +Primula chionata,29.32,95.33 +Primula chionata var. violacea,30.48,91.1 +Primula chionogenes,31.712092,88.118532 +Primula chumbiensis,28.935103,90.554197 +Primula chungensis,35.86,104.2 +Primula clutterbuckii,28.66,97.46 +Primula concinna,28.65,87.12 +Primula cunninghamii,28.17,85.98 +Primula deflexa,30.36,102.81 +Primula denticulata,30.36,102.81 +Primula diantha,28.479722,98.948611 +Primula dickieana,35.86,104.2 +Primula dryadifolia,28.5733,99.8117 +Primula dryadifolia subsp. jonardunii,29.58,95.02 +Primula dumicola,35.86,104.2 +Primula eburnea,26.466667,111.316667 +Primula elizabethiae,31.712092,88.118532 +Primula elongata,29,93.95 +Primula elongata var. barnardoana,29,93.95 +Primula erythrocarpa,31.712092,88.118532 +Primula falcifolia,29.32,95.33 +Primula falcifolia var. farinifera,29.32,95.33 +Primula fasciculata,31.49,98.21 +Primula fernaldiana,31.8131,99.7178 +Primula filipes,26.088547,103.176727 +Primula firmipes,35.86,104.2 +Primula flabellifera,31.712092,88.118532 +Primula florindae,30.0058,93.9231 +Primula gambeliana,29.15,92.58 +Primula gemmifera,33.97,106.77 +Primula gemmifera var. amoena,27.82308,99.706013 +Primula geraniifolia,35.86,104.2 +Primula glabra,36.519977,103.891767 +Primula glabra subsp. genestieriana,35.86,104.2 +Primula glomerata,27.80555,99.90638 +Primula gracilipes,28.37,87.77 +Primula graminifolia,30.91,102.54 +Primula griffithii,22.013258,100.787354 +Primula henrici,35.86,104.2 +Primula hilaris,31.712092,88.118532 +Primula hookeri,28.48611,98.911543 +Primula hookeri var. violacea,31.712092,88.118532 +Primula ioessa,29.65,91.12 +Primula irregularis,28.17,85.98 +Primula jaffreyana,28.85,90.45 +Primula jigmediana,27.80555,99.90638 +Primula jucunda,31.712092,88.118532 +Primula kingii,21.625556,101.584722 +Primula klattii,27.80555,99.90638 +Primula kongboensis,27.48,88.9 +Primula lacerata,24.18,113.4 +Primula latisecta,29.63,94.36 +Primula laxiuscula,31.712092,88.118532 +Primula limbata,32.8,102.55 +Primula listeri,26.901731,98.869207 +Primula littledalei,30.32,90.58 +Primula macrophylla,36.519977,103.891767 +Primula macrophylla var. atra,28.37,87.77 +Primula mallophylla,27.48,88.9 +Primula medogensis,29.326875,95.328655 +Primula megalocarpa,31.47,79.8 +Primula meiotera,29.5,95 +Primula minor,28.479722,98.948611 +Primula minutissima,28,91.95 +Primula munroi,31.006178,102.878151 +Primula munroi subsp. yargongensis,29.9969,100.879 +Primula muscoides,28.55,85.3 +Primula nana,28.3,98.716667 +Primula ninguida,29.63,94.36 +Primula nutans,35.14,100.61 +Primula obliqua,27.48,88.9 +Primula obtusifolia,29.6,103.48 +Primula occlusa,31.712092,88.118532 +Primula odontica,31.712092,88.118532 +Primula petiolaris,36.519977,103.891767 +Primula pinnatifida,27.79159,99.581367 +Primula polonensis,42.4,128.083333 +Primula praetermissa,31.712092,88.118532 +Primula prenantha,29.32,95.33 +Primula prenantha subsp. morsheadiana,29.32,95.33 +Primula primulina,28.12,91.9 +Primula pulchella,27.12936,100.23835 +Primula pumilio,28.65,87.12 +Primula reticulata,30.13,81.33 +Primula rhodochroa,28.36,87.76 +Primula rhodochroa var. geraldinae,31.712092,88.118532 +Primula rimicola,31.712092,88.118532 +Primula rotundifolia,27.80555,99.90638 +Primula rubicunda,27.82308,99.706013 +Primula sandemaniana,31.712092,88.118532 +Primula sapphirina,38.874887,121.496044 +Primula scapigera,28.17,85.98 +Primula secundiflora,27.783297,99.582634 +Primula septemloba var. minor,29.000343,101.507299 +Primula serratifolia,35.86,104.2 +Primula sessilis,31.333332,90.150002 +Primula sherriffiae,27.80555,99.90638 +Primula sikkimensis,35.86,104.2 +Primula silaensis,35.86,104.2 +Primula smithiana,27.48,88.9 +Primula stenocalyx,30.93,102.95 +Primula strumosa,28.17,85.98 +Primula strumosa subsp. tenuipes,28.85,85.3 +Primula stuartii,28.36,87.76 +Primula subularia,31.712092,88.118532 +Primula tangutica var. flavescens,33.605765,103.243112 +Primula tanneri,31.712092,88.118532 +Primula tayloriana,33,106.93 +Primula tenella,28.36305,98.7925 +Primula tenuiloba,44.58,117.6 +Primula tibetica,29.77,84.03 +Primula triloba,35.86,104.2 +Primula tsariensis,29.9,94.87 +Primula tsariensis var. porrecta,31.712092,88.118532 +Primula tsongpenii,31.712092,88.118532 +Primula vaginata,35.86,104.2 +Primula vaginata subsp. eucyclia,35.86,104.2 +Primula vaginata subsp. normaniana,35.86,104.2 +Primula valentiniana,26.088547,103.176727 +Primula waddellii,31.1,97.19 +Primula walshii,30,99.1 +Primula waltonii,30.6839,97.2619 +Primula watsonii,26.088547,103.176727 +Primula whitei,27.48,88.9 +Primula wollastonii,28.85,85.3 +Primula youngeriana,29.5,94.25 +Sadiria aberrans,28.66,97.46 +Sadiria erecta var. longipetiolata,22.290278,111.217222 +Sadiria eugeniifolia,28.66,97.46 +Sadiria griffithii,28.66,97.46 +Sadiria subsessilifolia,28.66,97.46 +Camellia azalea,21.894167,111.488056 +Camellia caudata,26.466667,111.316667 +Camellia kissii,24.8308,98.7678 +Camellia sinensis,26.466667,111.316667 +Pyrenaria barringtoniifolia,21.68,101.31 +Pyrenaria khasiana,29.32,95.33 +Schima khasiana,35.86,104.2 +Schima parviflora,29.63,94.36 +Schima sericans,35.86,104.2 +Schima wallichii,21.85257,100.05695 +Stewartia medogensis,29.32,95.33 +Stewartia pteropetiolata,35.86,104.2 +Stewartia sinensis,30.14106,118.869646 +Symplocos adenophylla,23.59501,108.327417 +Symplocos anomala,29.5367,107.2833 +Symplocos cochinchinensis,35.86,104.2 +Symplocos dryophila,35.86,104.2 +Symplocos glauca,26.06139,119.30611 +Symplocos glomerata,36.519977,103.891767 +Symplocos lucida,30.253518,120.119968 +Symplocos oxyphylla,29.32,95.33 +Symplocos paniculata,34.360573,107.963331 +Symplocos phyllocalyx,28.672732,104.010884 +Symplocos pyrifolia,0,0 +Symplocos racemosa,0,0 +Symplocos ramosissima,0,0 +Symplocos sulcata,25.295664,98.802414 +Symplocos sumuntia,36.519977,103.891767 +Symplocos theophrastifolia,26.53,121.05 +Symplocos viridissima,19.200505,109.74159 +Symplocos xylopyrena,29.32,95.33 +Berneuxia thibetica,35.86,104.2 +Diapensia himalaica,35.86,104.2 +Diapensia purpurea,35.86,104.2 +Diapensia wardii,25.584234,100.222124 +Alniphyllum fortunei,31.828688,117.584604 +Bruinsmia polysperma,23.646234,114.117501 +Huodendron biaristatum,26.4,110.8 +Huodendron tibeticum,27.9058,98.3364 +Parastyrax lacei,24.813781,113.184435 +Rehderodendron microcarpum,35.86,104.2 +Styrax hookeri,27.1722,98.7708 +Styrax serrulatus,36.13945,120.68305 +Actinidia callosa,25.6739,98.6606 +Actinidia callosa var. henryi,35.86,104.2 +Actinidia chinensis,36.519977,103.891767 +Actinidia pilosula,27.7314,98.3461 +Actinidia umbelloides,24.615701,100.709787 +Actinidia venosa,30.0087,94.9578 +Clematoclethra scandens,29.5997,102.058 +Saurauia armata,29.32,95.33 +Saurauia cerea,29.32,95.33 +Saurauia erythrocarpa,35.86,104.2 +Saurauia fasciculata,28.672732,104.010884 +Saurauia griffithii,29.32,95.33 +Saurauia griffithii var. annamica,29.32,95.33 +Saurauia macrotricha,35.86,104.2 +Saurauia miniata,25.035,98.6761 +Saurauia napaulensis,35.86,104.2 +Saurauia polyneura,35.86,104.2 +Saurauia polyneura var. paucinervis,29.046341,93.074702 +Saurauia punduana,29.32,95.33 +Saurauia roxburghii,27.080633,100.261093 +Saurauia rubricalyx,29.32,95.33 +Saurauia sinohirsuta,28.672732,104.010884 +Saurauia yunnanensis,22.010889,100.79926 +Clethra delavayi,25.035347,102.711722 +Clethra petelotii,23.9,106.61 +Agapetes aborensis,29.32,95.33 +Agapetes acuminata,25.020615,98.490007 +Agapetes angulata,35.86,104.2 +Agapetes anonyma,27.9983,98.6194 +Agapetes atrosanguinea,29.32,95.33 +Agapetes buxifolia,25.020615,98.490007 +Agapetes camelliifolia,29.32,95.33 +Agapetes ciliata,29.32,95.33 +Agapetes discolor,29.32,95.33 +Agapetes forrestii,25.353181,98.120339 +Agapetes graciliflora,35.86,104.2 +Agapetes griffithii,35.86,104.2 +Agapetes huangiana,29.32,95.33 +Agapetes hyalocheilos,29.32,95.33 +Agapetes incurvata,25.020615,98.490007 +Agapetes interdicta,35.86,104.2 +Agapetes lacei,35.86,104.2 +Agapetes lacei var. glaberrima,35.86,104.2 +Agapetes lacei var. tomentella,36.52,103.89167 +Agapetes leucocarpa,29.32,95.33 +Agapetes linearifolia,29.32,95.33 +Agapetes listeri,35.86,104.2 +Agapetes marginata,29.33,95.33 +Agapetes medogensis,29.32,95.33 +Agapetes megacarpa,21.929444,101.255476 +Agapetes miniata,35.86,104.2 +Agapetes miranda,31.712092,88.118532 +Agapetes mitrarioides,28.17,85.98 +Agapetes nutans,25.020615,98.490007 +Agapetes nuttallii,29.32,95.33 +Agapetes pilifera,35.86,104.2 +Agapetes praeclara,29.307961,95.359353 +Agapetes praestigiosa,35.86,104.2 +Agapetes pyrolifolia,35.86,104.2 +Agapetes refracta,29.32,95.33 +Agapetes salicifolia,25.020615,98.490007 +Agapetes serpens,28.36,87.76 +Agapetes spissa,35.86,104.2 +Agapetes subansirica,29.32,95.33 +Agapetes subsessilifolia,25.020615,98.490007 +Agapetes variegata,35.86,104.2 +Agapetes xiana,29.32,95.33 +Agapetes xizangensis,29.32483,95.326681 +Cassiope abbreviata,30.36,102.81 +Cassiope fastigiata,35.86,104.2 +Cassiope palpebrata,27.762306,98.941667 +Cassiope pectinata,28.397146,99.444931 +Cassiope selaginoides,28.385,98.78583 +Cassiope wardii,29.58,94.97 +Chimaphila japonica,29.8,95.7 +Craibiodendron henryi,35.86,104.2 +Craibiodendron yunnanense,35.86,104.2 +Diplarche multiflora,35.86,104.2 +Diplarche pauciflora,28.661276,97.466916 +Enkianthus chinensis,30.1405,110.580667 +Enkianthus deflexus,28.007778,98.518333 +Gaultheria albiflora,35.86,104.2 +Gaultheria brevistipes,28.66,97.46 +Gaultheria ciliisepala,27.716667,98.42222 +Gaultheria codonantha,29.33,95.33 +Gaultheria crassifolia,0,0 +Gaultheria dolichopoda,29.32,95.33 +Gaultheria dumicola var. aspera,35.86,104.2 +Gaultheria dumicola var. petanoneuron,35.86,104.2 +Gaultheria eciliata,0,0 +Gaultheria fragrantissima,35.86,104.2 +Gaultheria griffithiana,35.86,104.2 +Gaultheria heteromera,29.33,95.33 +Gaultheria hookeri,29.67,102.62 +Gaultheria hypochlora,35.86,104.2 +Gaultheria insignis,0,0 +Gaultheria kamengiana,25.67,100.13 +Gaultheria major,0,0 +Gaultheria nummularioides,28.66,97.46 +Gaultheria obovata,28.389722,98.7625 +Gaultheria praticola,29.32,95.33 +Gaultheria pseudonotabilis,0,0 +Gaultheria purpurea,25.67,100.13 +Gaultheria pyrolifolia,35.86,104.2 +Gaultheria semi-infera,27.48,88.9 +Gaultheria seshagiriana,28.05,87.27 +Gaultheria sinensis,29.9,94.87 +Gaultheria sinensis var. nivea,35.86,104.2 +Gaultheria stenophylla,27.173056,98.7675 +Gaultheria straminea,27.8669,98.3636 +Gaultheria suborbicularis,35.86,104.2 +Gaultheria tetramera,35.86,104.2 +Gaultheria thymifolia,26.4,98.8 +Gaultheria trichophylla,35.86,104.2 +Gaultheria trigonoclada,24.9353,98.805 +Gaultheria wardii,35.86,104.2 +Gaultheria wardii var. elongata,35.86,104.2 +Hypopitys monotropa,35.86,104.2 +Leucothoe griffithiana,35.86,104.2 +Lyonia doyonensis,0,0 +Lyonia macrocalyx,35.86,104.2 +Lyonia ovalifolia,24.983333,112.833333 +Lyonia ovalifolia var. hebecarpa,0,0 +Lyonia ovalifolia var. lanceolata,35.86,104.2 +Lyonia ovalifolia var. tomentosa,0,0 +Lyonia villosa,30.368117,102.81464 +Lyonia villosa var. sphaerantha,0,0 +Moneses uniflora,38.78,101.08 +Monotropa uniflora,35.86,104.2 +Monotropastrum humile,0,0 +Orthilia obtusata,0,0 +Orthilia secunda,43.889,127.848 +Pieris formosa,0,0 +Pyrola atropurpurea,27.177166,99.28717 +Pyrola calliantha,29.6033,102.073 +Pyrola decorata,31.375019,119.823343 +Pyrola forrestiana,35.86,104.2 +Pyrola minor,0,0 +Pyrola rotundifolia,44.655,130.504 +Pyrola sororia,35.86,104.2 +Rhododendron 脳 bathyphyllm,27.078428,100.256767 +Rhododendron 脳 erythrocalyx,0,0 +Rhododendron adenogynum,0,0 +Rhododendron aganniphum,31.87,99.12 +Rhododendron aganniphum var. flavorufum,30.05,96.91 +Rhododendron aganniphum var. schizopeplum,29.6728,96.7781 +Rhododendron alutaceum,27.753833,98.930417 +Rhododendron alutaceum var. iodes,0,0 +Rhododendron alutaceum var. russotinctum,26.3,99.4 +Rhododendron amandum,31.712092,88.118532 +Rhododendron anthopogon,0,0 +Rhododendron anthosphaerum,35.86,104.2 +Rhododendron arboreum,27.740736,98.66582 +Rhododendron arboreum var. cinnamomeum,28.85,85.29 +Rhododendron arboreum var. peramoenum,0,0 +Rhododendron arboreum var. roseum,27.48,88.9 +Rhododendron argipeplum,28,91.95 +Rhododendron arizelum,0,0 +Rhododendron augustinii subsp. chasmanthum,28.4,98.15 +Rhododendron auritum,37.76675,119.1813 +Rhododendron baileyi,28.66,97.46 +Rhododendron bainbridgeanum,35.86,104.2 +Rhododendron balfourianum var. aganniphoides,27.928607,101.279419 +Rhododendron barbatum,28.85,85.29 +Rhododendron basilicum,26.876096,100.229945 +Rhododendron beanianum,28.93,99.8 +Rhododendron beesianum,35.86,104.2 +Rhododendron boothii,29.32,95.33 +Rhododendron brachyanthum,35.86,104.2 +Rhododendron brachyanthum subsp. hypolepidotum,35.86,104.2 +Rhododendron bulu,29.3,91.98 +Rhododendron callimorphum,35.86,104.2 +Rhododendron calostrotum,35.86,104.2 +Rhododendron calostrotum var. calciphilum,27.6961,98.4553 +Rhododendron calvescens,35.86,104.2 +Rhododendron calvescens var. duseimatum,35.86,104.2 +Rhododendron camelliiflorum,25.453317,98.745517 +Rhododendron campanulatum,27.97,87.22 +Rhododendron campanulatum subsp. aeruginosum,28.36,87.76 +Rhododendron campylocarpum,29.9,94.87 +Rhododendron campylogynum,35.86,104.2 +Rhododendron catacosum,27.078428,100.256767 +Rhododendron cephalanthum,35.86,104.2 +Rhododendron cerasinum,27.740736,98.66582 +Rhododendron chamaethomsonii,35.86,104.2 +Rhododendron chamaethomsonii var. chamaedoron,35.86,104.2 +Rhododendron chamaethomsonii var. chamaethauma,29.33,95.33 +Rhododendron charitopes,35.86,104.2 +Rhododendron charitopes subsp. tsangpoense,29,92 +Rhododendron chrysodoron,35.86,104.2 +Rhododendron ciliatum,29.32,95.33 +Rhododendron cinnabarinum,27.48,88.9 +Rhododendron cinnabarinum var. roylei,28.37,87.77 +Rhododendron circinnatum,31.712092,88.118532 +Rhododendron citriniflorum,35.86,104.2 +Rhododendron citriniflorum var. horaeum,35.86,104.2 +Rhododendron comisteum,27.078428,100.256767 +Rhododendron concinnoides,27.078428,100.256767 +Rhododendron coriaceum,35.86,104.2 +Rhododendron coryanum,35.86,104.2 +Rhododendron cowanianum,29.6,103.48 +Rhododendron crenulatum,29.85,95.76 +Rhododendron crinigerum,35.86,104.2 +Rhododendron dalhousieae,28.36,87.76 +Rhododendron decorum,35.86,104.2 +Rhododendron dekatanum,30.350228,95.474417 +Rhododendron dendricola,35.86,104.2 +Rhododendron dignabile,29.02,93.95 +Rhododendron eclecteum,35.86,104.2 +Rhododendron eclecteum var. bellatulum,35.86,104.2 +Rhododendron edgeworthii,35.86,104.2 +Rhododendron erastum,28.66,97.46 +Rhododendron erosum,28.2,90.82 +Rhododendron esetulosum,26.33,99.67 +Rhododendron eudoxum,35.86,104.2 +Rhododendron eudoxum var. bruneifolium,35.86,104.2 +Rhododendron eudoxum var. mesopolium,35.86,104.2 +Rhododendron eurysiphon,28.666667,98.183333 +Rhododendron exasperatum,35.4736,103.3469 +Rhododendron falconeri,30.29,81.17 +Rhododendron faucium,29.85,95.76 +Rhododendron flavantherum,27.078428,100.256767 +Rhododendron fletcherianum,35.86,104.2 +Rhododendron floccigerum,35.86,104.2 +Rhododendron formosum,29.560453,102.84644 +Rhododendron forrestii,35.86,104.2 +Rhododendron forrestii subsp. papillatum,29.9,94.87 +Rhododendron fragariiflorum,28.12,91.9 +Rhododendron fulgens,27.48,88.9 +Rhododendron fulvastrum,28.666667,98.25 +Rhododendron fulvum,35.86,104.2 +Rhododendron genestierianum,35.86,104.2 +Rhododendron glaucophyllum,28.36,87.76 +Rhododendron glischrum,35.86,104.2 +Rhododendron glischrum subsp. rude,29.32,95.33 +Rhododendron grande,28.66,97.46 +Rhododendron griffithianum,29.32,95.33 +Rhododendron haematodes,28.45,98.18 +Rhododendron haematodes subsp. chaetomallum,28.18,98.27 +Rhododendron heliolepis,35.86,104.2 +Rhododendron heliolepis var. oporinum,35.86,104.2 +Rhododendron hirtipes,29.85,95.76 +Rhododendron hodgsonii,27.93,87.22 +Rhododendron hookeri,30,101.5 +Rhododendron hylaeum,35.86,104.2 +Rhododendron hypenanthum,28.85,85.29 +Rhododendron igneum,30.350228,95.474417 +Rhododendron inaequale,25.045286,102.709729 +Rhododendron insculptum,27.13,104.72 +Rhododendron johnstoneanum,27.078428,100.256767 +Rhododendron kasoense,29.32,95.33 +Rhododendron keleticum,35.86,104.2 +Rhododendron kendrickii,27.078428,100.256767 +Rhododendron keysii,29.32,95.33 +Rhododendron kongboense,29.885276,93.246074 +Rhododendron lanatoides,29.58,94.97 +Rhododendron lanatum,27.48,88.9 +Rhododendron lanigerum,28.85,85.29 +Rhododendron laudandum,29.85,95.76 +Rhododendron laudandum var. temoense,29.85,95.76 +Rhododendron lepidotum,26.4,99.4 +Rhododendron leptocarpum,35.86,104.2 +Rhododendron leucaspis,27.078428,100.256767 +Rhododendron Lindl.i,27.078428,100.256767 +Rhododendron ludlowii,31.712092,88.118532 +Rhododendron lukiangense,35.86,104.2 +Rhododendron lulangense,29.63,94.36 +Rhododendron mackenzianum,27.740736,98.66582 +Rhododendron maddenii,35.86,104.2 +Rhododendron maddenii subsp. crassum,27.8986,98.3539 +Rhododendron magnificum,28.66,97.46 +Rhododendron mainlingense,29.9,94.87 +Rhododendron martinianum,35.86,104.2 +Rhododendron medoense,29.32,95.33 +Rhododendron megacelyx,27.078428,100.256767 +Rhododendron megalanthum,29.32,95.33 +Rhododendron megeratum,35.86,104.2 +Rhododendron mekongense,35.86,104.2 +Rhododendron mekongense var. melinanthum,28.48611,98.911543 +Rhododendron mekongense var. rubrolineatum,29.32,95.33 +Rhododendron microgynum,35.86,104.2 +Rhododendron miniatum,30.350228,95.474417 +Rhododendron monanthum,35.86,104.2 +Rhododendron montroseanum,35.86,104.2 +Rhododendron moulmainense,35.86,104.2 +Rhododendron nayarii,27.078428,100.256767 +Rhododendron neriiflorum,35.86,104.2 +Rhododendron neriiflorum var. appropinquans,26.333333,99.666667 +Rhododendron neriifolium,29.914155,102.234618 +Rhododendron nitidulum,29.496119,103.398589 +Rhododendron nivale,29.58,95 +Rhododendron nivale subsp. australe,28.93,99.79 +Rhododendron nivale subsp. boreale,29.037008,100.298406 +Rhododendron niveum,29.32,95.33 +Rhododendron nuttallii,27.80138,98.56861 +Rhododendron nyingchiense,29.63,94.36 +Rhododendron obtusum,0,0 +Rhododendron oreogenum,0,0 +Rhododendron oreotrephes,35.86,104.2 +Rhododendron papillatum,29.9,94.87 +Rhododendron parmulatum,0,0 +Rhododendron parryae,27.078428,100.256767 +Rhododendron pemakoense,29.32,95.33 +Rhododendron pendulum,27.48,88.9 +Rhododendron phaeochrysum,27.6297,99.6436 +Rhododendron phaeochrysum var. agglutinatum,30.368117,102.81464 +Rhododendron phaeochrysum var. levistratum,30.1469,101.86 +Rhododendron piercei,29.32,95.33 +Rhododendron pingianum,29.496119,103.398589 +Rhododendron pocophorum,35.86,104.2 +Rhododendron pocophorum var. hemidartum,35.86,104.2 +Rhododendron polycladum,30.99,102.36 +Rhododendron pomense,29.6806,95.7021 +Rhododendron populare,31.712092,88.118532 +Rhododendron praestans,35.86,104.2 +Rhododendron primuliflorum,35.86,104.2 +Rhododendron primuliflorum var. cephalanthoides,29.893695,91.264908 +Rhododendron principis,29.05,93.93 +Rhododendron proteoides,27.928607,101.279419 +Rhododendron protistum,35.86,104.2 +Rhododendron pruniflorum,29.32,95.33 +Rhododendron przewalskii,34.43808,104.036837 +Rhododendron pudorosum,27.177166,99.28717 +Rhododendron pumilum,29.9,94.87 +Rhododendron ramipilosum,29.32,95.33 +Rhododendron ramsdenianum,29.899222,95.399028 +Rhododendron roxieanum,35.86,104.2 +Rhododendron roxieanum var. cucullatum,35.86,104.2 +Rhododendron rubiginosum,35.86,104.2 +Rhododendron rupicola,27.62454,99.644089 +Rhododendron rupicola var. chryseum,35.86,104.2 +Rhododendron saluenense,35.86,104.2 +Rhododendron saluenense var. prostratum,35.86,104.2 +Rhododendron sanguineum,28.398889,98.7525 +Rhododendron sanguineum var. cloiophorum,35.86,104.2 +Rhododendron sanguineum var. didymoides,35.86,104.2 +Rhododendron sanguineum var. didymum,27.6261,98.5875 +Rhododendron sanguineum var. haemaleum,35.86,104.2 +Rhododendron sanguineum var. himertum,26.583778,101.718915 +Rhododendron santapaui,27.078428,100.256767 +Rhododendron scopulorum,29.32,95.33 +Rhododendron seinghkuense,35.86,104.2 +Rhododendron selense,35.86,104.2 +Rhododendron selense subsp. dasycladum,28.66,97.46 +Rhododendron semnoides,25.496016,103.801478 +Rhododendron setiferum,28.48611,98.911543 +Rhododendron setosum,0,0 +Rhododendron sherriffii,30.350228,95.474417 +Rhododendron sidereum,35.86,104.2 +Rhododendron siderophyllum,0,0 +Rhododendron sinogrande,35.86,104.2 +Rhododendron sinonuttallii,35.86,104.2 +Rhododendron souliei,0,0 +Rhododendron sperabile,35.86,104.2 +Rhododendron sperabile var. weihsiense,27.12,99.02 +Rhododendron sperabiloides,0,0 +Rhododendron stewartianum,35.86,104.2 +Rhododendron subansiriense,27.078428,100.256767 +Rhododendron succothii,27.078428,100.256767 +Rhododendron taggianum,35.86,104.2 +Rhododendron tanastylum,35.86,104.2 +Rhododendron tanastylum var. lingzhiense,0,0 +Rhododendron tapetiforme,0,0 +Rhododendron telmateium,26.876096,100.229945 +Rhododendron temenium,35.86,104.2 +Rhododendron temenium var. dealbatum,35.86,104.2 +Rhododendron temenium var. gilvum,35.86,104.2 +Rhododendron tenuifolium,0,0 +Rhododendron tephropeplum,35.86,104.2 +Rhododendron thomsonii,28.36,87.76 +Rhododendron thomsonii subsp. lopsangianum,0,0 +Rhododendron titapuriense,27.078428,100.256767 +Rhododendron traillianum,28.35861,98.78694 +Rhododendron traillianum var. dictyotum,26.876096,100.229945 +Rhododendron trichocladum,35.86,104.2 +Rhododendron trichostomum,27.928607,101.279419 +Rhododendron triflorum,29.9,94.87 +Rhododendron trilectorum,29.32,95.33 +Rhododendron tsariense,30.350228,95.474417 +Rhododendron tsariense var. trimoense,30.350228,95.474417 +Rhododendron tubiforme,27.078428,100.256767 +Rhododendron tubulosum,32.77,96.67 +Rhododendron uniflorum,29.32,95.33 +Rhododendron uvariifolium,29.92,94.88 +Rhododendron vaccinioides,35.86,104.2 +Rhododendron vellereum,31.13,97.18 +Rhododendron venator,29.138831,94.211324 +Rhododendron vernicosum,29.98,101.92 +Rhododendron vesiculiferum,35.86,104.2 +Rhododendron virgatum,35.86,104.2 +Rhododendron viridescens,29.32,95.33 +Rhododendron viscidifolium,31.712092,88.118532 +Rhododendron wallichii,27.98,87.15 +Rhododendron walongense,31.712092,88.118532 +Rhododendron wardii,29.9,94.88 +Rhododendron wightii,28.3,90.95 +Rhododendron williamsianum,31.905842,102.206261 +Rhododendron xanthocodon,31.712092,88.118532 +Rhododendron xanthostephanum,35.86,104.2 +Rhododendron yunnanense,35.86,104.2 +Vaccinium brachyandrum,27.713056,98.296111 +Vaccinium bracteatum,22.916567,103.696633 +Vaccinium chaetothrix,35.86,104.2 +Vaccinium corymbosum,36.02,120.17 +Vaccinium delavayi,35.86,104.2 +Vaccinium dendrocharis,35.86,104.2 +Vaccinium duclouxii,25.2997,98.7808 +Vaccinium dunalianum,35.86,104.2 +Vaccinium dunalianum var. urophyllum,35.86,104.2 +Vaccinium fragile,36.519977,103.891767 +Vaccinium gaultheriifolium,35.86,104.2 +Vaccinium glaucoalbum,29.32,95.33 +Vaccinium iteophyllum,36.519977,103.891767 +Vaccinium iteophyllum var. glandulosum,30.033333,109.683333 +Vaccinium kingdon-wardii,29.32,95.33 +Vaccinium lanigerum,35.86,104.2 +Vaccinium leucobotrys,35.86,104.2 +Vaccinium modestum,35.86,104.2 +Vaccinium motuoense,29.32,95.33 +Vaccinium nummularia,27.48,88.9 +Vaccinium papillatum,29.32,95.33 +Vaccinium papulosum,36.519977,103.891767 +Vaccinium retusum,29.33,95.33 +Vaccinium sikkimense,27.7722,98.4464 +Vaccinium spiculatum,18.249731,109.507052 +Vaccinium stenanthum,36.519977,103.891767 +Vaccinium subdissitifolium,29.32,95.33 +Vaccinium tenuiflorum,18.745108,109.17663 +Vaccinium urceolatum var. pubescens,25.707879,116.763457 +Vaccinium vacciniaceum,30.29,108.93 +Vaccinium vacciniaceum subsp. glabritubum,30.29,108.93 +Vaccinium venosum,29.85,95.76 +Iodes cirrhosa,21.475834,101.56752 +Mappianthus iodoides,24.65,115.93 +Miquelia assamica,24.8325,98.7693 +Natsiatopsis thunbergiifolia,29.32,95.33 +Natsiatum herpeticum,35.86,104.2 +Aucuba himalaica,24.948608,98.754166 +Aidia cochinchinensis,27.128698,98.877785 +Argostemma verticillatum,21.926304,101.318375 +Asperula oppositifolia,31.47,79.8 +Benkara fasciculata,35.86,104.2 +Brachytome hirtellata var. glabrescens,35.86,104.2 +Brachytome wallichii,35.86,104.2 +Canthium glabrum,23.59,111.7 +Catunaregam nutans,23.13,112.58 +Catunaregam spinosa,23.13,112.58 +Cephalanthus tetrandra,28.531063,113.417684 +Ceriscoides campanulata,18.626309,109.700342 +Chassalia curviflora,21.934011,101.260734 +Coffea benghalensis,29.32,95.33 +Damnacanthus indicus,27.80138,98.56861 +Dentella repens,22.010889,100.79926 +Dimetia scandens,35.86,104.2 +Diplospora fruticosa,41.451,127.92 +Galium acutum,27.44164,104.873643 +Galium aparine,33.75,97.05 +Galium asperifolium,36.519977,103.891767 +Galium asperifolium var. sikkimense,36.519977,103.891767 +Galium asperifolium var. verrucifructum,29.000343,101.507299 +Galium asperuloides,27.6319,98.6164 +Galium baldensiforme,34.403056,100.392778 +Galium blinii,26.543497,98.914497 +Galium boreale,32.080278,97.02 +Galium bungei,36.519977,103.891767 +Galium dahuricum,44.78,129.06 +Galium dahuricum var. lasiocarpum,34.07,107.32 +Galium elegans,26.24,105.93 +Galium exile,30.93,88.7 +Galium glandulosum,28.93,99.79 +Galium hoffmeisteri,28.39,98.78916 +Galium kamtschaticum,42.78,128.51 +Galium megacyttarion,44.062,84.4844 +Galium odoratum,27.177166,99.28717 +Galium rebae,27.813778,98.497772 +Galium salwinense,35.86,104.2 +Galium serpylloides,28.42,92.47 +Galium spurium,25,111 +Galium tricornutum,33.15,106.67 +Galium trifidum,35.86,104.2 +Galium verum,46.55,122.93 +Haldina cordifolia,23.613788,102.015824 +Hedyotis auricularia,35.86,104.2 +Hedyotis herbacea,35.86,104.2 +Hedyotis tenelliflora,24.9222,98.6328 +Hedyotis uncinella,21.862199,113.166084 +Himalrandia tetrasperma,30.05,101.96 +Hymenodictyon orixense,22.010889,100.79926 +Hyptianthera stricta,22.01071,100.799775 +Ixora subsessilis,23.12,113.34 +Ixora undulata,23.12,113.34 +Kelloggia chinensis,29,109.85 +Khasiaclunea oligocephala,33.976206,107.249372 +Knoxia sumatrensis,23.9,106.61 +Lasianthus attenuatus,18.252625,109.511923 +Lasianthus biermannii,35.86,104.2 +Lasianthus hookeri,21.919623,101.27736 +Lasianthus japonicus subsp. longicaudus,24.046484,105.055261 +Lasianthus lucidus,22.99417,102.392353 +Lasianthus micranthus,35.86,104.2 +Lasianthus sikkimensis,35.86,104.2 +Leptodermis amoena,31.712092,88.118532 +Leptodermis forrestii,28.368753,99.754265 +Leptodermis gracilis,28.045278,98.591389 +Leptodermis griffithii,28.368753,99.754265 +Leptodermis hirsutiflora,29.67,91.05 +Leptodermis hirsutiflora var. ciliata,29.14,92.6 +Leptodermis kumaonensis,28.38,85.33 +Leptodermis lanceolata,28.66,97.46 +Leptodermis ludlowii,31.712092,88.118532 +Leptodermis oblonga,39.917282,115.789612 +Leptodermis parkeri,28.85,85.3 +Leptodermis pilosa,27.900318,99.63797 +Leptodermis potanini,28.308056,98.874167 +Leptodermis potanini var. glauca,28.479445,98.8075 +Leptodermis purdomii,30.0572,102.16 +Leptodermis scabrida,28.2,91 +Leptodermis schneideri,30.055305,101.96483 +Leptodermis velutiniflora,28.328636,103.132181 +Leptodermis velutiniflora var. tenera,25.827253,100.575146 +Leptodermis virgata,40.210532,116.176482 +Leptodermis xizangensis,28.5,85.22 +Luculia grandifolia,22.529465,103.939279 +Luculia gratissima,35.86,104.2 +Luculia pinceana,22.83,103.68 +Meyna laxiflora,18.252625,109.511923 +Meyna spinosa,18.252625,109.511923 +Mitracarpus hirtus,21.462444,109.350464 +Morinda angustifolia,21.475834,101.56752 +Morinda coreia,21.919623,101.27736 +Morinda lacunosa,22.98,103.68 +Morinda villosa,22.01071,100.799775 +Mussaenda decipiens,29.32,95.33 +Mussaenda glabra,24.041,97.893 +Mussaenda incana,24.041,97.893 +Mussaenda macrophylla,35.86,104.2 +Mussaenda roxburghii,27.080633,100.261093 +Mycetia faberi,30.903114,103.563769 +Mycetia hirta,21.934011,101.260734 +Mycetia listeri,35.86,104.2 +Mycetia longifolia,29.32,95.33 +Mycetia mukerjiana,35.86,104.2 +Mycetia nepalensis,29.32,95.33 +Mycetia nutans,29.32,95.33 +Mycetia radiciflora,35.86,104.2 +Mycetia stipulata,35.86,104.2 +Mycetia stipulata subsp. macrostachya,35.86,104.2 +Mycetia tonkinensis,23.258134,105.822072 +Neanotis calycina,22.02,100.8 +Neanotis gracilis,29.32,95.33 +Neanotis hirsuta,29.550037,119.143949 +Neanotis ingrata,26.43,110.85 +Neanotis thwaitesiana,23.376591,114.269636 +Neanotis wightiana,26.490051,98.824257 +Neohymenopogon assamicus,22.010889,100.79926 +Neohymenopogon parasiticus,22.010889,100.79926 +Neolamarckia cadamba,22.010889,100.79926 +Neonauclea gageana,21.934011,101.260734 +Neonauclea griffithii,29.32,95.33 +Neonauclea sessilifolia,22.01071,100.799775 +Nertera sinensis,29.39,110.16 +Nostolachma jenkinsii,29.32,95.33 +Nostolachma khasiana,24.9936,102.459 +Oldenlandia corymbosa,27.9,110.59 +Oldenlandia glabra,27.9,110.59 +Oldenlandia monocephala,35.86,104.2 +Ophiorrhiza arunachalensis,25.104264,107.509707 +Ophiorrhiza calcarata,26.6,111.2 +Ophiorrhiza debiana,26.6,111.2 +Ophiorrhiza dulongensis,35.86,104.2 +Ophiorrhiza fasciculata,29.32,95.33 +Ophiorrhiza heterostyla,26.6,111.2 +Ophiorrhiza hispida,21.957355,100.452547 +Ophiorrhiza laevifolia,24.897997,103.720586 +Ophiorrhiza lurida,29.32,95.33 +Ophiorrhiza medogensis,29.32,95.33 +Ophiorrhiza medogensis var. shiyomiensis,29.32,95.33 +Ophiorrhiza mungos,35.86,104.2 +Ophiorrhiza nutans,35.86,104.2 +Ophiorrhiza ochroleuca,21.957355,100.452547 +Ophiorrhiza pauciflora,22.01071,100.799775 +Ophiorrhiza repens,26.6,111.2 +Ophiorrhiza rosea,35.86,104.2 +Ophiorrhiza rugosa,35.86,104.2 +Ophiorrhiza subcapitata,30.325742,119.438597 +Ophiorrhiza succirubra,27.965,98.6525 +Ophiorrhiza thomsonii,26.6,111.2 +Ophiorrhiza tingens,35.86,104.2 +Ophiorrhiza treutleri,25.39,98.86 +Ophiorrhiza trichocarpos,26.6,111.2 +Ophiorrhiza umbricola,29.32,95.33 +Ophiorrhiza villosa,39.94142,115.8165 +Ophiorrhiza wallichii,35.86,104.2 +Ophiorrhiza wattii,35.86,104.2 +Oxyceros griffithii,18.252013,109.504134 +Paederia foetida,36.519977,103.891767 +Pavetta crassicaulis,22.007463,100.788719 +Pavetta polyantha,24.68123,105.334672 +Pavetta subcapitata,30.325742,119.438597 +Pavetta tomentosa,23.625319,105.630906 +Polyura geminata,34.554,119.148 +Pseudogalium paradoxum,43.815,127.972 +Psychotria aborensis,21.74453,112.823413 +Psychotria adenophylla,18.25,109.5 +Psychotria burkillii,34.3108,99.1814 +Psychotria calocarpa,21.934011,101.260734 +Psychotria denticulata,29.32,95.33 +Psychotria erratica,29.32,95.33 +Psychotria monticola,21.74453,112.823413 +Psychotria silhetensis,31.370137,109.629918 +Psychotria yunnanensis,25.2975,98.7953 +Psydrax dicocca,29.15,112.5 +Rubia chinensis,43.76,128.456 +Rubia cordifolia,32.309722,96.46 +Rubia manjith,32.085556,97.011944 +Rubia membranacea,34.683333,100.683333 +Rubia oncotricha,25.6311,98.6736 +Rubia podantha,28.02,98.6175 +Rubia sikkimensis,35.86,104.2 +Rubia tibetica,31.47,79.8 +Rubia wallichiana,29.32,95.33 +Saprosma ternata,21.68,101.42 +Scleromitrion diffusum,23.101297,113.293336 +Scleromitrion verticillatum,25.046789,113.72685 +Spermacoce alata,23.18,115.54 +Spermacoce exilis,23.192208,113.432595 +Spermacoce ocymoides,23.57,113.64 +Spermacoce pusilla,18.75,109.17 +Spermadictyon suaveolens,31.82,108.62 +Spiradiclis arunachalensis,25.104264,107.509707 +Spiradiclis bifida,24.2,97.8 +Spiradiclis caespitosa,23.03,102.75 +Spiradiclis cylindrica,29.32,95.33 +Spiradiclis xizangensis,29.32,95.33 +Tarenna asiatica,25.297497,98.795273 +Tarenna disperma,25.297497,98.795273 +Tarenna odorata,25.297497,98.795273 +Tarennoidea wallichii,26.67,106.33 +Uncaria homomalla,22.529465,103.939279 +Uncaria scandens,29.32,95.33 +Uncaria sessilifructus,23.9,106.61 +Uncaria sinensis,28.27,105.1 +Wendlandia grandis,35.86,104.2 +Wendlandia puberula,35.86,104.2 +Wendlandia scabra,35.86,104.2 +Wendlandia speciosa,35.86,104.2 +Wendlandia wallichii,35.86,104.2 +Canscora alata,21.475834,101.56752 +Canscora andrographioides,18.62,109.7 +Comastoma cyananthiflorum,30.910683,102.889683 +Comastoma falcatum,36.786007,100.974383 +Comastoma muliense,30.055305,101.96483 +Comastoma pedunculatum,34.81,98.3 +Comastoma pulmonarium,36.786662,100.973298 +Comastoma stellariifolium,35.86,104.2 +Comastoma tenellum,29.29,87.23 +Cotylanthera paucisquama,35.86,104.2 +Crawfurdia angustata,29.32521,95.33304 +Crawfurdia arunachalensis,35.86,104.2 +Crawfurdia campanulacea,27.899367,98.348767 +Crawfurdia crawfurdioides,35.86,104.2 +Crawfurdia crawfurdioides var. iochroa,35.86,104.2 +Crawfurdia dimidiata,26.11116,99.951049 +Crawfurdia lobatilimba,35.86,104.2 +Crawfurdia nyingchiensis,35.86,104.2 +Crawfurdia puberula,28,91.95 +Crawfurdia speciosa,36.519977,103.891767 +Crawfurdia thibetica,29.870383,102.27385 +Exacum nanum,25.22,113.21 +Exacum tetragonum,25.22,113.21 +Fagraea ceilanica,18.25,109.5 +Gentiana albicalyx,29.22,90.62 +Gentiana albomarginata,26.876096,100.229945 +Gentiana algida,32.281667,96.203056 +Gentiana altigena,29.85,95.76 +Gentiana altorum,32.3169,96.6267 +Gentiana amplicrater,28.97,90.42 +Gentiana aquatica,30.29,81.17 +Gentiana arethusae var. delicatula,27.82308,99.706013 +Gentiana aristata,34.725278,100.719444 +Gentiana atuntsiensis,30.0403,101.838 +Gentiana bomiensis,29.85,95.76 +Gentiana bryoides,27.48,88.9 +Gentiana burkillii,34.3108,99.1814 +Gentiana burmensis,35.86,104.2 +Gentiana caelestis,29,101.5 +Gentiana caeruleogrisea,34.3575,100.256 +Gentiana capitata,28.17,85.98 +Gentiana clarkei,34.3108,99.1814 +Gentiana crassicaulis,35.86,104.2 +Gentiana crassula,27.82308,99.706013 +Gentiana crassuloides,35.355833,99.133889 +Gentiana crenulatotruncata,32.3169,96.6267 +Gentiana cristata,26.876096,100.229945 +Gentiana cuneibarba,35.86,104.2 +Gentiana dahurica,36.20125,100.528867 +Gentiana depressa,28.17,85.98 +Gentiana ecaudata,35.86,104.2 +Gentiana elwesii,27.8,98.5011 +Gentiana emodii,27.92,92 +Gentiana erectosepala,28.66,97.46 +Gentiana exquisita,35.86,104.2 +Gentiana faucipilosa,35.86,104.2 +Gentiana filistyla,35.86,104.2 +Gentiana formosa,35.86,104.2 +Gentiana forrestii,35.86,104.2 +Gentiana futtereri,32.27,96.22 +Gentiana georgei,35.86,104.2 +Gentiana gilvostriata,27.177166,99.28717 +Gentiana glabriuscula,27.981667,98.483333 +Gentiana globosa,31.13,97.18 +Gentiana gyirongensis,28.65,87.12 +Gentiana handeliana,35.86,104.2 +Gentiana harrowiana,29.32,95.33 +Gentiana haynaldii,30.3,91.52 +Gentiana heleonastes,34.3575,100.255556 +Gentiana hexaphylla,31.706117,102.309333 +Gentiana himalayaensis,29.89,91.26 +Gentiana hoae,27.8333,99.6667 +Gentiana huxleyi,28.17,85.98 +Gentiana lacerulata,31.712092,88.118532 +Gentiana lacinulata,31.712092,88.118532 +Gentiana lawrencei,32.3186,97.2053 +Gentiana lawrencei var. farreri,32.3186,97.2053 +Gentiana laxiflora,29.5,94.25 +Gentiana leucomelaena,32.77,96.67 +Gentiana lhassica,29.88,93.24 +Gentiana macrauchena,31.33,110.78 +Gentiana mailingensis,27.8333,99.6667 +Gentiana micans,27.48,88.9 +Gentiana micantiformis,27.48,88.9 +Gentiana muscicola,29.32,95.33 +Gentiana namlaensis,31.712092,88.118532 +Gentiana nanobella,36.519977,103.891767 +Gentiana nubigena,34.998433,100.847383 +Gentiana nyalamensis,28.65,87.12 +Gentiana nyalamensis var. parviflora,28.65,87.12 +Gentiana nyingchiensis,29.63,94.36 +Gentiana obconica,29.83,92.33 +Gentiana oreodoxa,35.86,104.2 +Gentiana ornata,30.47,91.09 +Gentiana panthaica,25.7,100.117 +Gentiana papillosa,25.012526,102.700013 +Gentiana parvula,29.000343,101.507299 +Gentiana pedicellata,32.201763,96.897354 +Gentiana phyllocalyx,35.86,104.2 +Gentiana prainii,25.6,100.033 +Gentiana prattii,33.3769,100.29 +Gentiana prolata,29.32,95.33 +Gentiana prostrata,31.712092,88.118532 +Gentiana prostrata var. karelinii,31.712092,88.118532 +Gentiana prostrata var. ludlowii,35.0228,98.8606 +Gentiana pseudoaquatica,28.661276,97.466916 +Gentiana pseudosquarrosa,36.519977,103.891767 +Gentiana purdomii,31.15,97.45 +Gentiana recurvata,26.901731,98.869207 +Gentiana robusta,29.7,92.08 +Gentiana scabrifilamenta,29.85,95.76 +Gentiana sikkimensis,35.86,104.2 +Gentiana simulatrix,28.85,85.29 +Gentiana sino-ornata,32.983333,103.666667 +Gentiana sino-ornata var. gloriosa,29.42,90.16 +Gentiana squarrosa,32.991111,97.348056 +Gentiana stellata,27.82308,99.706013 +Gentiana stipitata,31.13,97.18 +Gentiana stipitata subsp. tizuensis,31.62,99.99 +Gentiana stragulata,34.15,107.84 +Gentiana straminea,30.05,96.91 +Gentiana suborbisepala,30.99,102.36 +Gentiana suborbisepala var. kialensis,25.869611,102.593465 +Gentiana subuliformis,28.66,97.46 +Gentiana szechenyii,30.055305,101.96483 +Gentiana tatsienensis,31.712092,88.118532 +Gentiana tetrasticha,29.65,91.12 +Gentiana tibetica,27.82308,99.706013 +Gentiana tongolensis,28.89833,100.28139 +Gentiana trichotoma,34.75,99.67 +Gentiana trichotoma var. chingii,36.4,99.95 +Gentiana tubiflora,28,91.95 +Gentiana urnula,30.93,88.7 +Gentiana veitchiorum,35.86,104.2 +Gentiana venusta,27.8333,99.6667 +Gentiana vernayi,29.040461,90.920892 +Gentiana vernayi subsp. atropurpurea,28.727298,99.827515 +Gentiana waltonii,29.65,91.05 +Gentiana wardii,28.535833,99 +Gentiana wardii var. emergens,29.85,95.76 +Gentiana wardii var. micrantha,27.740736,98.66582 +Gentiana yunnanensis,27.0155,100.1715 +Gentianella angustiflora,28.17,85.98 +Gentianella arenaria,29.77,84.03 +Gentianella azurea,34.78,92.88 +Gentianella moorcroftiana,30.13,81.33 +Gentianella pygmaea,32.26,91.68 +Gentianopsis barbata,32.918333,97.3275 +Gentianopsis barbata var. stenocalyx,34.707778,100.244167 +Gentianopsis contorta,28.48611,98.911543 +Gentianopsis paludosa,34.714722,100.711944 +Gentianopsis paludosa var. ovatodeltoidea,31.37,109.62 +Halenia elliptica,36.92,101.32 +Halenia elliptica var. grandiflora,30.36,102.81 +Jaeschkea canaliculata,28.85,85.3 +Jaeschkea microsperma,27.48,88.9 +Kuepferia damyonensis,35.86,104.2 +Kuepferia decorata,27.747194,98.90175 +Kuepferia doxiongshangensis,29.85,95.76 +Kuepferia infelix,29.85,95.76 +Kuepferia leucantha,28.66,97.46 +Kuepferia otophora,25.68333,100.1 +Kuepferia otophoroides,27.7842,98.4597 +Kuepferia sichitoensis,35.86,104.2 +Lomatogoniopsis alpina,32.77,96.67 +Lomatogoniopsis galeiformis,28,91.95 +Lomatogoniopsis ovatifolia,28,91.95 +Lomatogonium brachyantherum,32.3,84.06 +Lomatogonium carinthiacum,32.8831,96.685 +Lomatogonium chumbicum,28.85,90.45 +Lomatogonium gamosepalum,32.2861,96.5056 +Lomatogonium lloydioides,29.6114,94.6542 +Lomatogonium longifolium,35.86,104.2 +Lomatogonium macranthum,31.8331,96.4883 +Lomatogonium micranthum,35.86,104.2 +Lomatogonium oreocharis,28.48611,98.911543 +Lomatogonium perenne,28.484444,98.948889 +Lomatogonium rotatum,36.545,100.721 +Lomatogonium sikkimense,27.48,88.9 +Lomatogonium stapfii,27.82308,99.706013 +Megacodon stylophorus,28.5733,99.8117 +Pterygocalyx volubilis,43.7,127.139 +Sebaea microphylla,29.32,95.33 +Sinogentiana striata,30.345883,101.605017 +Sinoswertia tetraptera,36.786504,100.971957 +Swertia alata,32.752778,97.214722 +Swertia assamensis,35.86,104.2 +Swertia bifolia,33.976206,107.249372 +Swertia bimaculata,31.5,110.5 +Swertia chirayita,32.752778,97.214722 +Swertia ciliata,28.85,85.29 +Swertia cincta,23.880344,100.092756 +Swertia conaensis,28,91.95 +Swertia cordata,35.86,104.2 +Swertia cuneata,28.55,85.3 +Swertia cuneata var. asterocalyx,28.17,85.98 +Swertia diluta,41.719,125.926 +Swertia elata,30.05,101.96 +Swertia franchetiana,34.683333,100.683333 +Swertia grandiflora,32.752778,97.214722 +Swertia gyacaensis,29.14,92.59 +Swertia handeliana,35.86,104.2 +Swertia hispidicalyx,29.040514,90.920913 +Swertia hispidicalyx var. minima,29.040514,90.920913 +Swertia hookeri,32.752778,97.214722 +Swertia kingii,28.17,85.98 +Swertia macrosperma,35.86,104.2 +Swertia membranifolia,28.661276,97.466916 +Swertia multicaulis,27.48,88.9 +Swertia multicaulis var. umbellifera,28.36,87.76 +Swertia mussotii,28.48611,98.911543 +Swertia nervosa,35.86,104.2 +Swertia paniculata,27.82308,99.706013 +Swertia punicea,35.86,104.2 +Swertia purpurascens,30.29,81.17 +Swertia racemosa,36.519977,103.891767 +Swertia rotundiglandula,25.13,113.35 +Swertia scapiformis,30.055305,101.96483 +Swertia speciosa,32.752778,97.214722 +Swertia splendens,31.712092,88.118532 +Swertia taylorii,31.712092,88.118532 +Swertia tenuis,35.86,104.2 +Swertia tibetica,30.910683,102.889683 +Swertia verticillifolia,28,91.95 +Swertia virescens,29.32,95.33 +Swertia wardii,30.13,81.33 +Swertia wardii var. rigida,27.48,88.9 +Swertia wolfgangiana,33.1769,97.3794 +Swertia younghusbandii,29.65,91.12 +Swertia zayuensis,0,0 +Tripterospermum fasciculatum,22.01071,100.799775 +Tripterospermum volubile,27.960267,98.732783 +Veratrilla baillonii,0,0 +Veratrilla burkilliana,35.86,104.2 +Gardneria angustifolia,0,0 +Gardneria ovata,0,0 +Strychnos axillaris,20.44,110.2 +Strychnos wallichiana,21.475834,101.56752 +Allamanda cathartica,29,101.51 +Alstonia neriifolia,23.17,108.27 +Alstonia scholaris,0,0 +Alyxia fascicularis,0,0 +Asclepias curassavica,0,0 +Beaumontia grandiflora,24.68123,105.334672 +Belostemma hirsutum,35.86,104.2 +Biondia insignis,31.11,109.87 +Biondia laxa,0,0 +Biondia microcentra,27.78,120.08 +Biondia revoluta,32.95,104.68 +Calotropis gigantea,26.58,101.71 +Calotropis procera,0,0 +Catharanthus roseus,0,0 +Ceropegia hookeri,35.86,104.2 +Ceropegia jilongensis,28.85,85.29 +Ceropegia longifolia,36.519977,103.891767 +Ceropegia lucida,18.626309,109.700342 +Ceropegia pubescens,35.86,104.2 +Chonemorpha eriostylis,22.391288,106.817838 +Chonemorpha fragrans,23.127041,113.341527 +Chonemorpha griffithii,35.86,104.2 +Chonemorpha verrucosa,18.626309,109.700342 +Cryptolepis buchananii,25.08,104.89 +Cryptolepis sinensis,23.65,113.67 +Cynanchum acutum subsp. sibiricum,41.88,123.917 +Cynanchum auriculatum,40.108763,113.168588 +Cynanchum bungei,32.583831,110.701804 +Cynanchum decipiens,30.91,102.54 +Cynanchum otophyllum,35.86,104.2 +Cynanchum szechuanense,30.055305,101.96483 +Cynanchum thesioides,34.6833,100.683 +Cynanchum wallichii,35.86,104.2 +Cynanchum wilfordii,44.583,129.6 +Dischidia bengalensis,35.86,104.2 +Dregea sinensis,31.37,109.62 +Dregea yunnanensis,28.795,99.8372 +Genianthus bicoronatus,26.902222,98.861111 +Gongronema napalense,27.190833,98.883056 +Heterostemma alatum,35.86,104.2 +Holarrhena pubescens,21.475834,101.56752 +Hoya acuminata,29.32,95.33 +Hoya arnottiana,24.806667,98.873889 +Hoya chinghungensis,29.32,95.33 +Hoya edeni,24.829444,98.768333 +Hoya fusca,29.32,95.33 +Hoya globulosa,21.92701,101.255456 +Hoya linearis,35.86,104.2 +Hoya lobbii,35.86,104.2 +Hoya nyingchiensis,29.56,95.06 +Hoya parasitica,29.32,95.33 +Hoya pauciflora,29.32,95.33 +Hoya polyneura,35.86,104.2 +Hoya silvatica,29.32,95.33 +Hoya thomsonii,29.32,95.33 +Ichnocarpus frutescens,23.59,111.7 +Kopsia fruticosa,18.252013,109.504134 +Marsdenia koi,35.86,104.2 +Marsdenia medogensis,29.326875,95.328655 +Marsdenia oreophila,29.32,95.33 +Marsdenia roylei,43.18522,81.86555 +Marsdenia tinctoria,35.86,104.2 +Marsdenia yarlungzangboensis,29,93.97 +Melodinus cochinchinensis,22.010889,100.79926 +Myriopteron extensum,25.13,105.39 +Nerium oleander,40.02,116.21 +Parameria polyneura,22.555882,99.932102 +Pentasachme caudatum,22.621836,114.27189 +Pentasachme wallichii,18.252625,109.511923 +Periploca calophylla,29.1,107 +Periploca calophylla var. mucronata,29.32,95.33 +Periploca forrestii,25.0036,98.7247 +Periploca sepium,39.975444,116.049809 +Plumeria rubra,27.2822,100.85195 +Pottsia laxiflora,21.927636,101.25588 +Rauvolfia serpentina,18.8,110.4 +Rauvolfia verticillata,23.22,108.22 +Tabernaemontana divaricata,27.96,116.333 +Thevetia peruviana,26.076106,119.306406 +Toxocarpus himalensis,23.25013,111.266022 +Trachelospermum asiaticum,33.779205,84.357292 +Trachelospermum axillare,35.86,104.2 +Trachelospermum bodinieri,35.86,104.2 +Trachelospermum brevistylum,31.82,108.62 +Trachelospermum jasminoides,36.519977,103.891767 +Trachelospermum lucidum,21.930582,101.254349 +Treutlera insignis,29.138215,115.982136 +Tylophora koi,25.268611,98.8025 +Tylophora longifolia,25.268611,98.8025 +Tylophora ovata,29.62,115.41 +Tylophora silvestris,29.01,114.41 +Urceola micrantha,24.32306,109.49222 +Vallaris solanacea,18.745108,109.17663 +Vincetoxicum canescens,38.073254,104.69114 +Vincetoxicum exile,30.93,88.7 +Vincetoxicum forrestii,27.513,99.849333 +Vincetoxicum himalaicum,29.127778,99.975278 +Vincetoxicum inamoenum,40.057842,116.058451 +Willughbeia edulis,38.073254,104.69114 +Wrightia arborea,24.93,105.84 +Wrightia coccinea,21.957355,100.452547 +Actinocarya acaulis,34.27,97.87 +Actinocarya tibetica,33.7428,97.125 +Anchusa ovata,36.7,110.93 +Arnebia euchroma,31.47,79.8 +Arnebia guttata,33.38,79.73 +Asperugo procumbens,32.143056,97.270556 +Bothriospermum zeylanicum,31.95,103.56667 +Carmona microphylla,18.252625,109.511923 +Chionocharis hookeri,28.66,97.46 +Cordia dichotoma,26.07532,119.29897 +Cynoglossum amabile,27.860674,99.704414 +Cynoglossum furcatum,34.56,105.72 +Cynoglossum lanceolatum,31.82,108.62 +Cynoglossum schlagintweitii,27.928607,101.279419 +Cynoglossum wallichii,32.9222,97.2917 +Cynoglossum wallichii var. glochidiatum,32.9986,97.2517 +Ehretia acuminata,21.727066,101.584206 +Ehretia dicksonii,26.466667,111.316667 +Ehretia laevis,19.18889,109.81944 +Ehretia macrophylla var. glabrescens,31.33,110.78 +Ehretia wallichiana,26.466667,111.316667 +Eritrichium axilliflorum,31.48,93.67 +Eritrichium canum,28.85,85.29 +Eritrichium echinocaryum,28.48611,98.911543 +Eritrichium fruticulosum,28.85,85.29 +Eritrichium hemisphaericum,33.38,79.73 +Eritrichium humillimum,32.829722,96.898889 +Eritrichium laxum,29.65,91.12 +Eritrichium lianyongshanii,29.14,92.59 +Eritrichium longifolium,37.62,78.28 +Eritrichium medicarpum,31.8753,96.5236 +Eritrichium minimum,31.712092,88.118532 +Eritrichium pectinatociliatum,33.85,95.62 +Eritrichium petiolare,32.49,80.09 +Eritrichium petiolare var. subturbinatum,30.29,81.17 +Eritrichium qofengense,28.65,87.12 +Eritrichium sinomicrocarpum,32.9256,97.2661 +Eritrichium spathulatum,35.97,77.08 +Eritrichium tangkulaense,33.7428,97.125 +Eritrichium thymifolium,49.58,117.48 +Eritrichium thymifolium subsp. latialatum,32.49,80.09 +Eritrichium wangwencaii,31.47,79.8 +Euploca strigosa,20.44,110.2 +Hackelia brachytuba,27.78698,99.580719 +Hackelia difformis,29.22,102.35 +Hackelia uncinata,27.778046,99.589432 +Heliotropium indicum,23.01,113.75 +Lappula caespitosa,31.47,79.8 +Lappula himalayensis,31.47,79.8 +Lappula microcarpa,28.85,85.29 +Lappula myosotis,36.6,113.72 +Lappula patula,44.29,86.03 +Lappula redowskii,34.683333,100.683333 +Lappula semiglabra,37.77,75.22 +Lappula stricta,38.62,103.09 +Lappula tadshikorum,44.02,89.59 +Lasiocaryum densiflorum,28.915,89.603611 +Lasiocaryum munroi,27.48,88.9 +Lasiocaryum trichocarpum,29.0019,99.7428 +Lindelofia stylosa,32.49,80.09 +Maharanga bicolor,28.3523,85.7833 +Maharanga emodi,28.85,85.29 +Mattiastrum himalayense,31.47,79.8 +Microcaryum pygmaeum,30.05,101.96 +Microula bhutanica,35.86,104.2 +Microula ciliaris,29.037008,100.298406 +Microula diffusa,32.075,97.0386 +Microula floribunda,31.11667,101.13333 +Microula hispidissima,28.17,85.98 +Microula involucriformis,30.368117,102.81464 +Microula jilongensis,28.85,85.29 +Microula leucantha,31.302778,97.959444 +Microula longituba,29.67,97.84 +Microula ovalifolia,30.055305,101.96483 +Microula ovalifolia var. pubiflora,27.48,88.9 +Microula pseudotrichocarpa,29.9951,94.0217 +Microula pseudotrichocarpa var. grandiflora,27.928607,101.279419 +Microula pustulosa,32.2792,96.2731 +Microula pustulosa var. setulosa,32.2792,96.2731 +Microula rockii,32.752222,103.746111 +Microula sikkimensis,31.26,113.98 +Microula stenophylla,34.3108,99.1814 +Microula tangutica,34.1278,97.6578 +Microula tibetica,28.85216,91.99767 +Microula tibetica var. laevis,37.699337,101.338623 +Microula tibetica var. pratensis,37.699337,101.338623 +Microula younghusbandii,33.0006,97.3289 +Onosma adenopus,29.1031,99.6319 +Onosma bracteata,28.385,98.78583 +Onosma glomeratum,29.27,88.88 +Onosma hookeri,27.48,88.9 +Onosma hookeri var. hirsutum,29.65,91.12 +Onosma hookeri var. longiflorum,28.85,85.29 +Onosma lhokaensis,28.385,98.78583 +Onosma maaikangense,29.67,97.84 +Onosma multiramosum,31.68115,103.853481 +Onosma nangqenense,32.2,96.48 +Onosma paniculatum,25.827253,100.575146 +Onosma waddellii,31.1,97.19 +Onosma waddellii f. latifolium,32.433056,98.005 +Onosma waltonii,29.27,88.88 +Onosma wardii,30.979541,101.125234 +Onosma zayuense,35.86,104.2 +Rotula aquatica,22.79,103.09 +Symphytum officinale,31.25,121.4 +Tournefortia montana,23.72,106.84 +Tournefortia ovata,40.02,116.21 +Trichodesma khasianum,25.303923,98.774111 +Trigonotis bracteata,29.85,95.76 +Trigonotis cinereifolia,29.85,95.76 +Trigonotis dingjieensis,30.36,119.95 +Trigonotis gracilipes,28.650694,98.621167 +Trigonotis heliotropifolia,25.7167,100.033 +Trigonotis microcarpa,30,94.9 +Trigonotis motuoensis,29.244431,95.175076 +Trigonotis peduncularis,30.36,119.95 +Trigonotis peduncularis var. macrantha,36.2,117.08 +Trigonotis rockii,30.0009,94.2053 +Trigonotis rotundifolia,29.05,93.98 +Trigonotis tibetica,29.85,102.25 +Argyreia argentea,25.841921,98.857727 +Argyreia capitiformis,36.51998,103.89177 +Argyreia nervosa,22.696199,113.938254 +Argyreia roxburghii,22.01071,100.799775 +Argyreia sikkimensis,23.37,114.26 +Argyreia splendens,25.3969,98.8417 +Calystegia hederacea,37.28,114.51 +Convolvulus arvensis,38.86,115.47 +Cuscuta approximata,46.74,82.97 +Cuscuta australis,25.12,113.77 +Cuscuta chinensis,36.06667,120.33334 +Cuscuta europaea,36.07,103.75 +Cuscuta gigantea,44.15,87.98 +Cuscuta japonica,43.013,129.7 +Cuscuta macrolepis,28,91.95 +Cuscuta reflexa,28.85,85.29 +Decalobanthus mammosus,22.06,106.86 +Dinetus grandiflorus,26.257465,103.105257 +Dinetus racemosus,26.257465,103.105257 +Erycibe paniculata,29.15,112.5 +Erycibe subspicata,25.46,105.28 +Ipomoea alba,28.25,113.07 +Ipomoea aquatica,30.559627,114.322539 +Ipomoea batatas,25.707567,101.873163 +Ipomoea biflora,26.397549,111.299808 +Ipomoea hirtifolia,28.85,85.29 +Ipomoea mauritiana,18.252625,109.511923 +Ipomoea nil,22.7,113.5 +Ipomoea purpurea,24.8603,102.9673 +Merremia hederacea,25.25,110.05 +Merremia hirta,20.44,110.2 +Merremia hungaiensis,24.9936,102.459 +Merremia sibirica,30.19,119.36 +Merremia umbellata subsp. orientalis,23.9,106.61 +Merremia vitifolia,20.44,110.2 +Poranopsis paniculata,23.880344,100.092756 +Rivea ornata,32.983333,103.666667 +Anisodus luridus,28.661276,97.466916 +Anisodus tanguticus,35.86,104.2 +Capsicum annuum,25.22845,113.217309 +Cyphomandra betacea,40.02,116.21 +Datura stramonium,37.83,112.52 +Hyoscyamus niger,42.62528,123.72528 +Hyoscyamus pusillus,43.42,83.26 +Lycianthes biflora,35.86,104.2 +Lycianthes laevis,26.410278,112.386111 +Lycianthes lysimachioides,35.86,104.2 +Lycianthes macrodon,35.86,104.2 +Lycianthes tibetica,27.129292,100.235176 +Lycium amarum,38.073254,104.69114 +Lycium barbarum,36.5,102 +Lycium chinense,29.28,90.75 +Mandragora caulescens,28.66,97.46 +Nicandra physalodes,29.61,115.99 +Nicotiana plumbaginifolia,27.7,103.25 +Nicotiana rustica,32.95,104.68 +Nicotiana tabacum,30.598238,117.110052 +Physalis halicacabum,19.97,110.6 +Physalis minima,33.96,112.03 +Physalis peruviana,26.0911,98.5847 +Physochlaina macrocalyx,28.401091,99.451424 +Physochlaina praealta,32.49,80.09 +Przewalskia tangutica,33.1567,96.6483 +Solanum aculeatissimum,24.817169,103.322357 +Solanum americanum,35.86,104.2 +Solanum anguivi,35.86,104.2 +Solanum capsicoides,25.670153,99.958012 +Solanum dulcamara,33.97,107.24 +Solanum erianthum,23.7,114.81 +Solanum lasiocarpum,21.729698,101.583504 +Solanum lycopersicum,24.580446,99.92854 +Solanum lyratum,26.466667,111.316667 +Solanum melongena,29.247988,117.862004 +Solanum muricatum,22.01071,100.799775 +Solanum nigrum,39.48,76.03 +Solanum pittosporifolium,39.92411,115.987287 +Solanum pseudocapsicum,25.25,110.05 +Solanum scabrum,23.625319,105.630906 +Solanum septemlobum,29.9547,101 +Solanum sisymbriifolium,23.72,108.17 +Solanum spirale,35.86,104.2 +Solanum torvum,21.919623,101.27736 +Solanum tuberosum,30.29,114.22 +Solanum viarum,25.012526,102.700013 +Solanum villosum,39.5,76 +Solanum violaceum,24.580446,99.92854 +Tubocapsicum anomalum,24.913331,113.082651 +Hydrolea zeylanica,23.12,113.34 +Carlemannia griffithii,27.7386,98.3489 +Carlemannia tetragona,27.7386,98.3489 +Silvianthus bracteatus,22.010889,100.79926 +Chionanthus hainanensis,20.007837,110.348758 +Chionanthus mala-elengi subsp. terniflorus,18.303458,109.522205 +Chionanthus ramiflorus,29.32,95.33 +Chrysojasminum floridum,31.47,119.58 +Chrysojasminum humile,35.86,104.2 +Chrysojasminum humile var. microphyllum,33.392394,104.926525 +Forsythia suspensa,40.366577,116.239452 +Fraxinus ferruginea,25.255089,110.050532 +Fraxinus floribunda,29.86,121.54 +Fraxinus griffithii,32.079954,118.810291 +Fraxinus paxiana,30.663372,113.166529 +Fraxinus sikkimensis,29.32,95.33 +Fraxinus xanthoxyloides,39.879848,114.630747 +Jasminum 脳 stephanense,28.66,97.46 +Jasminum adenophyllum,38.073254,104.69114 +Jasminum azoricum,38.073254,104.69114 +Jasminum caudatum,24.721418,110.475769 +Jasminum dispermum,35.86,104.2 +Jasminum elongatum,22.781575,113.580568 +Jasminum grandiflorum,28.85,85.29 +Jasminum lanceolaria,35.86,104.2 +Jasminum laurifolium,21.934011,101.260734 +Jasminum listeri,26.901731,98.869207 +Jasminum multiflorum,21.586309,111.013498 +Jasminum nepalense,27.629986,99.685448 +Jasminum nervosum,20.44,110.2 +Jasminum nudiflorum,36.519977,103.891767 +Jasminum nudiflorum var. pulvinatum,30.05,96.91 +Jasminum officinale,35.86,104.2 +Jasminum officinale var. piliferum,35.86,104.2 +Jasminum officinale var. tibeticum,27.928607,101.279419 +Jasminum sambac,40.02,116.21 +Jasminum subglandulosum,21.919623,101.27736 +Jasminum tonkinense,23.625319,105.630906 +Ligustrum compactum,35.86,104.2 +Ligustrum confusum,29.85,95.76 +Ligustrum confusum var. macrocarpum,29.32,95.33 +Ligustrum expansum,30.6,109.72 +Ligustrum lucidum,31.37,109.62 +Ligustrum myrsinites,47.7,86.85 +Ligustrum nepalense,28.85,85.29 +Ligustrum obtusifolium,34.075,107.91111 +Ligustrum quihoui,24.9333,102.483 +Ligustrum sinense,35.86,104.2 +Ligustrum sinense var. rugosulum,22.010889,100.79926 +Myxopyrum smilacifolium,18.626309,109.700342 +Nyctanthes arbor-tristis,22.01071,100.799775 +Olea dioica,25.12,113.77 +Olea europaea,24.399244,109.379926 +Osmanthus fragrans,30.683697,104.008682 +Osmanthus henryi,35.86,104.2 +Osmanthus suavis,24.580446,99.92854 +Osmanthus yunnanensis,25.869611,102.593464 +Syringa emodi,40.02,116.21 +Syringa pinetorum,28.48611,98.911543 +Syringa sweginzowii,31.5119,100.696 +Syringa tomentella,28.66,97.46 +Syringa tomentella subsp. yunnanensis,27.774294,99.615593 +Syringa vulgaris,29.65,91.12 +Syringa yunnanensis,35.86,104.2 +Tetrapilus gamblei,29.32,95.33 +Aeschynanthus acuminatus,22.446542,111.031652 +Aeschynanthus angustioblongus,35.86,104.2 +Aeschynanthus angustissimus,29.32,95.33 +Aeschynanthus bracteatus,35.86,104.2 +Aeschynanthus denticuliger,22.529465,103.939279 +Aeschynanthus dolichanthus,29.32,95.33 +Aeschynanthus gracilis,23.219942,102.835218 +Aeschynanthus hookeri,35.86,104.2 +Aeschynanthus lasiocalyx,29.32,95.33 +Aeschynanthus linearifolius,35.86,104.2 +Aeschynanthus maculatus,35.86,104.2 +Aeschynanthus medogensis,29.32,95.33 +Aeschynanthus micranthus,35.86,104.2 +Aeschynanthus mimetes,29.32,95.33 +Aeschynanthus monetaria,29.32521,95.33304 +Aeschynanthus parasiticus,24.70519,97.93184 +Aeschynanthus parviflorus,35.86,104.2 +Aeschynanthus stenosepalus,35.86,104.2 +Aeschynanthus superbus,35.86,104.2 +Beccarinda cordifolia,22.09,107.95 +Boeica arunachalensis,23.9,106.61 +Boeica clarkei,23.9,106.61 +Boeica filiformis,23.9,106.61 +Boeica fulva,23.9,106.61 +Corallodiscus conchifolius,28.18,99.37 +Corallodiscus kingianus,30.1192,92.1594 +Corallodiscus lanuginosus,26.796677,99.760012 +Didymocarpus albicalyx,29.22,90.62 +Didymocarpus aromaticus,28.85,85.29 +Didymocarpus medogensis,29.32,95.33 +Didymocarpus moellerii,24.533333,115.833336 +Didymocarpus oblongus,24.533333,115.833336 +Didymocarpus pedicellatus,24.533333,115.833336 +Didymocarpus primulifolius,28.85,85.29 +Didymocarpus pulcher,23.125462,104.702829 +Didymocarpus villosus,28.17,85.98 +Didymocarpus zhufengensis,24.533333,115.833336 +Epithema carnosum,25.107246,108.315175 +Hemiboea subcapitata,30.325742,119.438597 +Henckelia adenocalyx,27.7297,98.3914 +Henckelia anachoreta,23.604052,113.874996 +Henckelia arupii,25.916687,98.751198 +Henckelia bifolia,25.916687,98.751198 +Henckelia connata,25.916687,98.751198 +Henckelia dasii,25.916687,98.751198 +Henckelia dibangensis,25.916687,98.751198 +Henckelia dimidiata,24.07,114.17 +Henckelia hookeri,25.916687,98.751198 +Henckelia infundibuliformis,29.32,95.33 +Henckelia lachenensis,29.32,95.33 +Henckelia lallanii,25.916687,98.751198 +Henckelia medogensis,29.326875,95.328655 +Henckelia mishmiensis,25.916687,98.751198 +Henckelia oblongifolia,29.32,95.33 +Henckelia pathakii,25.916687,98.751198 +Henckelia primulacea,25.916687,98.751198 +Henckelia pumila,25.916687,98.751198 +Henckelia siangensis,25.916687,98.751198 +Henckelia urticifolia,24.58669,98.689166 +Kaisupeea herbacea,27.92,118.53 +Leptoboea multiflora,24.7,97.93 +Loxostigma griffithii,24.8025,98.7947 +Loxostigma kurzii,26.994722,100.168833 +Lysionotus atropurpureus,35.86,104.2 +Lysionotus chatungii,35.86,104.2 +Lysionotus gamosepalus,29.32,95.33 +Lysionotus gracilis,35.86,104.2 +Lysionotus levipes,27.6944,98.2847 +Lysionotus metuoensis,29.32,95.33 +Lysionotus metuoensis subsp. arunachalensis,29.32,95.33 +Lysionotus palinensis,35.86,104.2 +Lysionotus pubescens,35.86,104.2 +Lysionotus serratus,24.68123,105.334672 +Lysionotus ziroensis,35.86,104.2 +Oreocharis billburttii,31.712092,88.118532 +Oreocharis delavayi,35.86,104.2 +Oreocharis muscicola,35.86,104.2 +Platystemma violoides,28.17,85.98 +Rhynchoglossum lazulinum,35.86,104.2 +Rhynchoglossum obliquum,25.08,104.89 +Rhynchotechum calycinum,21.934011,101.260734 +Rhynchotechum ellipticum,21.934011,101.260734 +Rhynchotechum nirijuliense,24.388378,106.006265 +Rhynchotechum obovatum,24.388378,106.006265 +Rhynchotechum parviflorum,21.934011,101.260734 +Rhynchotechum vestitum,24.615701,100.709787 +Stauranthera umbrosa,18.516726,110.029085 +Tetraphylloides bengalensis,24.8881,98.69 +Whytockia arunachalensis,35.86,104.2 +Adenosma indiana,25.25,110.05 +Callitriche fehmedianii,28.85,85.29 +Callitriche glareosa,44.72,129.53 +Callitriche palustris,33.356389,99.561944 +Dopatrium junceum,27.3,105.28 +Ellisiophyllum pinnatum,36.519977,103.891767 +Hemiphragma heterophyllum,35.86,104.2 +Hippuris vulgaris,33.346667,99.572778 +Lagotis alutacea,28.401184,99.45137 +Lagotis brachystachya,34.6,92.77 +Lagotis brevituba,35.5014,99.51 +Lagotis chumbica,29.6111,94.6517 +Lagotis clarkei,31.48,93.67 +Lagotis crassifolia,28.36,87.76 +Lagotis decumbens,42.6,85.5 +Lagotis humilis,31.47,79.8 +Lagotis integra,27.928607,101.279419 +Lagotis kongboensis,31.712092,88.118532 +Lagotis macrosiphon,28.55,85.3 +Lagotis pharica,29.7,98 +Lagotis praecox,31.0778,96.9478 +Lagotis ramalana,34.4606,100.402 +Lagotis yunnanensis,32.6608,98.0481 +Limnophila chinensis,25.5278,98.6664 +Limnophila connata,27.2,109.83 +Limnophila indica,40.02,119.41 +Limnophila repens,18.62,109.7 +Limnophila sessiliflora,30.27,120.17 +Linaria thibetica,31.6961,100.705 +Neopicrorhiza scrophulariiflora,29.85,95.76 +Plantago asiatica,46.35,122.93 +Plantago asiatica subsp. densiflora,29.85,95.76 +Plantago asiatica subsp. erosa,29.22,102.35 +Plantago depressa,34.676944,100.661944 +Plantago griffithii,31.47,79.8 +Plantago himalaica,31.47,79.8 +Plantago major,44.02,89.59 +Pseudolysimachion linariifolium subsp. dilatatum,31.7667,104.7167 +Scoparia dulcis,23.49,111.29 +Veronica alpina subsp. pumila,42.78,128.51 +Veronica anagallis-aquatica,32.116389,97.265278 +Veronica beccabunga subsp. muscosa,45.93,83.6 +Veronica biloba,33.1019,97.3031 +Veronica cana,29.32,95.33 +Veronica chayuensis,29.85,95.76 +Veronica ciliata,33.76,99.433889 +Veronica ciliata subsp. cephaloides,29.68,89.09 +Veronica ciliata subsp. zhongdianensis,29.1031,99.6319 +Veronica deltigera,28.17,85.98 +Veronica eriogyne,31.87,99.12 +Veronica himalensis,28.85,85.29 +Veronica javanica,35.86,104.2 +Veronica lanuginosa,28.65,87.12 +Veronica longipetiolata,28.17,85.98 +Veronica oxycarpa,42.82,93.51 +Veronica persica,32.05,118.79 +Veronica polita,32.055645,118.797741 +Veronica rockii,33.52,107.99 +Veronica serpyllifolia,31.33,110.78 +Veronica szechuanica,35.86,104.2 +Veronica szechuanica subsp. sikkimensis,29.155,100.088 +Veronica tibetica,28.85,85.29 +Veronica vandellioides,34.725278,100.719444 +Veronica yunnanensis,35.86,104.2 +Veronicastrum brunonianum,25.8833,100.017 +Buddleja 脳 griffithii,22.013258,100.787354 +Buddleja alternifolia,40.333333,117.333333 +Buddleja asiatica,28.1147,98.3164 +Buddleja candida,29.32,95.33 +Buddleja colvilei,27.740736,98.66582 +Buddleja crispa,36.519977,103.891767 +Buddleja davidii,27.7111,98.3469 +Buddleja delavayi,36.519977,103.891767 +Buddleja fallowiana,36.519977,103.891767 +Buddleja forrestii,35.86,104.2 +Buddleja griffithii,22.013258,100.787354 +Buddleja macrostachya,36.519977,103.891767 +Buddleja myriantha,25.703422,100.134946 +Buddleja officinalis,25.25,110.05 +Buddleja paniculata,25.6,110.58 +Buddleja tsetangensis,29.58,94.92 +Buddleja wardii,29.75,91.55 +Limosella aquatica,25.012526,102.700013 +Scrophularia chasmophila subsp. xizangensis,29.333333,94.583333 +Scrophularia dentata,28.85,85.29 +Scrophularia elatior,27.71,102.8 +Scrophularia incisa,36.5875,100.490556 +Scrophularia lhasaensis,29.73,90.98 +Scrophularia mandarinorum,35.86,104.2 +Scrophularia pauciflora,27.48,88.9 +Scrophularia przewalskii,33.75,97.05 +Scrophularia souliei,34.4322,100.334 +Scrophularia urticifolia,28.85,85.29 +Scrophularia wattii,30.05,93.98 +Verbascum blattaria,43.97,81.52 +Verbascum thapsus,30.19,119.36 +Bonnaya ruelloides,23.185,113.363 +Lindernia anagallis,25.79,114.53 +Lindernia antipoda,29.14,120.97 +Lindernia ciliata,29.32,95.33 +Lindernia crustacea,24.983333,112.833333 +Lindernia mollis,21.957355,100.452547 +Lindernia nummulariifolia,34.56,105.72 +Lindernia procumbens,43.957,126.752 +Lindernia pusilla,35.86,104.2 +Lindernia ruellioides,26.466667,111.316667 +Lindernia viscosa,23.28,111.9 +Torenia asiatica,24.983333,112.833333 +Torenia diffusa,23.236311,113.502921 +Torenia violacea,26.466667,111.316667 +Sesamum indicum,22.823037,108.373351 +Acanthus leucostachyus,22.010889,100.79926 +Andrographis laxiflora,26.534082,100.42293 +Asystasia neesiana,27.719698,98.349533 +Barleria cristata,24.392902,106.633387 +Codonacanthus pauciflorus,23.688233,113.045465 +Cystacanthus affinis,27.928607,101.279419 +Cystacanthus vitellinus,35.86,104.2 +Dicliptera bupleuroides,21.475834,101.56752 +Ecbolium ligustrinum,23.51,110.46 +Eranthemum pulchellum,24.47,118.08 +Eranthemum tubiflorum,39.71615,115.838889 +Hygrophila erecta,27.2822,100.85195 +Hygrophila phlomoides,18.252625,109.511923 +Hygrophila polysperma,21.48,101.57 +Hygrophila ringens,23.625319,105.630906 +Hypoestes triflora,35.86,104.2 +Isoglossa collina,35.86,104.2 +Justicia adhatoda,23.12,113.34 +Justicia gendarussa,24.47,118.08 +Justicia procumbens,26.565278,118.754167 +Justicia quinqueangularis,21.62,101.56 +Justicia simplex,24.9621,102.63 +Justicia vasculosa,27.71,102.8 +Justicia virgata,21.62,101.56 +Lepidagathis incurva,22.54,114.05 +Mackaya indica,30.322514,119.446852 +Nelsonia canescens,21.922088,101.275966 +Peristrophe bivalvis,29,109.85 +Peristrophe fera,35.86,104.2 +Peristrophe japonica,26.466667,111.316667 +Peristrophe speciosa,31.237023,120.406916 +Phaulopsis dorsiflora,22.01071,100.799775 +Phialacanthus griffithii,22.013258,100.787354 +Phlogacanthus curviflorus,21.934011,101.260734 +Phlogacanthus gomezii,24.02,97.85 +Phlogacanthus gracilis,35.86,104.2 +Phlogacanthus guttatus,35.86,104.2 +Phlogacanthus parviflorus,35.86,104.2 +Phlogacanthus thyrsiformis,35.86,104.2 +Phlogacanthus tubiflorus,35.86,104.2 +Phlogacanthus vitellinus,22.391288,106.817838 +Phlogacanthus yangtsekiangensis,27.897245,102.265266 +Pseuderanthemum arunachalense,21.62,101.56 +Pseuderanthemum latifolium,20.44,110.2 +Pseuderanthemum leptanthus,21.62,101.56 +Pseuderanthemum polyanthum,22.75506,109.207192 +Rhinacanthus calcaratus,21.660629,109.207449 +Rhinacanthus grandiflorus,21.660629,109.207449 +Rungia burmanica,22.52,103.97 +Rungia latior,27.56,119.93 +Rungia pectinata,35.86,104.2 +Rungia repens,27.56,119.93 +Rungia stolonifera,35.86,104.2 +Sphinctacanthus griffithii,22.013258,100.787354 +Staurogyne arunachalensis,23.519195,110.462487 +Staurogyne humilis,23.519195,110.462487 +Staurogyne spatulata,23.351747,113.411891 +Strobilanthes affinis,24.819877,106.511936 +Strobilanthes atropurpurea,25.707879,116.763457 +Strobilanthes attenuata,27.7081,98.3431 +Strobilanthes auriculata,23.12,113.34 +Strobilanthes capitata,29.016667,107 +Strobilanthes cruciata,22.010889,100.79926 +Strobilanthes cuneata,29.016667,107 +Strobilanthes cusia,22.464142,107.839351 +Strobilanthes cyphantha,26.56023,100.17643 +Strobilanthes dimorphotricha,24.98583,98.72834 +Strobilanthes discolor,29.016667,107 +Strobilanthes divaricata,22.06,106.86 +Strobilanthes echinata,21.957355,100.452547 +Strobilanthes elongata,29.016667,107 +Strobilanthes extensa,29.32,95.33 +Strobilanthes fimbriata,29.016667,107 +Strobilanthes forrestii,28.328636,103.132181 +Strobilanthes glabrata,29.016667,107 +Strobilanthes glomerata,35.86,104.2 +Strobilanthes glutinosa,29.016667,107 +Strobilanthes hamiltoniana,22.578282,114.171031 +Strobilanthes helicta,29.32,95.33 +Strobilanthes inflata,27.740736,98.66582 +Strobilanthes inflata var. aenobarba,27.740736,98.66582 +Strobilanthes kingdonii,29.32,95.33 +Strobilanthes lachenensis,28.85,85.29 +Strobilanthes lamiifolia,24.68123,105.334672 +Strobilanthes maculata,29.016667,107 +Strobilanthes mastersii,29.32,95.33 +Strobilanthes medogensis,30.0092,94.9669 +Strobilanthes multidens,23.25,113.336 +Strobilanthes nobilis,27.7388,98.3489 +Strobilanthes oligocephala,28.0392,85.9825 +Strobilanthes oresbia,28.661276,97.466916 +Strobilanthes oxycalycina,29.016667,107 +Strobilanthes paniculiformis,29.32,95.33 +Strobilanthes parvifolia,29.016667,107 +Strobilanthes pentastemonoides,29.32,95.33 +Strobilanthes pterygorrhachis,29.016667,107 +Strobilanthes pubiflora,29.32,95.33 +Strobilanthes rhombifolia,29.016667,107 +Strobilanthes rubescens,29.016667,107 +Strobilanthes secunda,29.016667,107 +Strobilanthes simonsii,25.76416,99.10694 +Strobilanthes sunhangii,31.466476,110.31236 +Strobilanthes tamburensis,29.016667,107 +Strobilanthes tenax,29.016667,107 +Strobilanthes thomsonii,29.016667,107 +Strobilanthes tibetica,32.068138,108.0416 +Strobilanthes tomentosa,25.288551,98.8125 +Strobilanthes tubiflos,29.016667,107 +Strobilanthes twangensis,29.016667,107 +Strobilanthes urophylla,29.32,95.33 +Strobilanthes versicolor,28.85,85.29 +Strobilanthes yunnanensis,26.466667,111.316667 +Thunbergia alata,23.12,113.34 +Thunbergia coccinea,35.86,104.2 +Thunbergia grandiflora,25.17,110.35 +Catalpa bignonioides,37.286346,79.178124 +Fernandoa adenophylla,22.391288,106.817838 +Incarvillea altissima,30.93917,100.311366 +Incarvillea arguta,27.191311,100.112877 +Incarvillea beresowskii,31.499202,98.218428 +Incarvillea compacta,33.1275,97.4622 +Incarvillea delavayi,29.72,98.8 +Incarvillea himalayensis,32.9272,97.2667 +Incarvillea lutea,28.6003,100.287 +Incarvillea mairei,30.055305,101.96483 +Incarvillea sinensis,39.818459,116.227062 +Incarvillea uniflora,29.80076,98.71219 +Incarvillea younghusbandii,28.897478,90.225189 +Incarvillea zhongdianensis,27.900398,99.637825 +Mayodendron igneum,23.72,106.84 +Oroxylum indicum,21.934011,101.260734 +Radermachera gigantea,35.86,104.2 +Radermachera glandulosa,23.226775,108.229301 +Radermachera sinica,22.010506,100.815704 +Radermachera yunnanensis,35.86,104.2 +Stereospermum colais,23.9,106.61 +Pinguicula alpina,35.86,104.2 +Utricularia aurea,26.32,116.34 +Utricularia australis,43.828,128.706 +Utricularia bifida,29.14,120.97 +Utricularia brachiata,28.48611,98.911543 +Utricularia christopheri,43.828,128.706 +Utricularia intermedia,41.896,126.657 +Utricularia kumaonensis,25.658081,100.143376 +Utricularia minor,31.13,97.18 +Utricularia multicaulis,29.699491,95.449263 +Utricularia salwinensis,35.86,104.2 +Utricularia scandens subsp. firmula,25.46,105.28 +Utricularia striatula,23.03,112.45 +Utricularia vulgaris,39.71,115.83 +Duranta erecta,23.127041,113.341527 +Lantana camara,22.8,113.52 +Lantana indica,22.8,113.52 +Lippia alba,19.55,110.8 +Lippia javanica,19.55,110.8 +Phyla nodiflora,23.22,108.22 +Stachytarpheta jamaicensis,18.8,110.4 +Verbena officinalis,31.82,108.62 +Achyrospermum densiflorum,29.32,95.33 +Achyrospermum wallichianum,29.32,95.33 +Agastache rugosa,41.719,125.926 +Ajuga bracteosa,25.19,110.1 +Ajuga campylantha,30.08333,102.06667 +Ajuga decumbens,36.519977,103.891767 +Ajuga forrestii,27.7386,98.3489 +Ajuga lobata,35.86,104.2 +Ajuga lupulina,36.519977,103.891767 +Ajuga macrosperma,22.46,107.83 +Ajuga nipponensis,32.047517,119.013656 +Ajuga nubigena,27.928607,101.279419 +Ajuga ovalifolia,30.08333,102.06667 +Ajuga ovalifolia var. calantha,30.1469,101.86 +Ajuga sciaphila,27.422643,101.509187 +Amethystea caerulea,28.48611,98.911543 +Anisomeles indica,25.4447,98.8619 +Callicarpa arborea,29.32,95.33 +Callicarpa bodinieri,30.181183,120.083771 +Callicarpa lobata,30.181183,120.083771 +Callicarpa longifolia,29,109.85 +Callicarpa macrophylla,24.65,115.93 +Callicarpa pararubella,30.181183,120.083771 +Callicarpa rubella,25.6739,98.6606 +Callicarpa vestita,30.181183,120.083771 +Caryopteris forrestii,25.7167,100.233 +Caryopteris minor,28.56277,98.87333 +Caryopteris tangutica,31.5119,100.696 +Caryopteris trichosphaera,32.1208,97.035 +Chelonopsis souliei,30.2117,99.3031 +Clerodendrum bracteatum,35.86,104.2 +Clerodendrum chinense,22.376395,112.698545 +Clerodendrum colebrookianum,25.0167,98.6942 +Clerodendrum griffithianum,26.56023,100.17643 +Clerodendrum hastatum,24.444935,118.066933 +Clerodendrum indicum,22.01071,100.799775 +Clerodendrum infortunatum,20.44,110.2 +Clerodendrum japonicum,26.466667,111.316667 +Clerodendrum panigrahianum,24.444935,118.066933 +Clerodendrum tibetanum,24.9936,102.459 +Clerodendrum villosum,21.475834,101.56752 +Clerodendrum wallichii,29.32,95.33 +Clinopodium chinense,43.88,127.79 +Clinopodium discolor,29.85,95.76 +Clinopodium gracile,26.72,110.63 +Clinopodium megalanthum,29.7372,96.065 +Clinopodium nepalense,27.629986,99.685448 +Clinopodium piperitum,28.17,85.98 +Clinopodium polycephalum,35.86,104.2 +Clinopodium repens,31.33,110.78 +Clinopodium umbrosum,27.93,87.22 +Clinopodium wardii,31.712092,88.118532 +Coleus forskohlii,26.088547,103.176727 +Coleus polystachyus,25.17,110.35 +Coleus strobilifer,23.127041,113.341527 +Colquhounia coccinea,35.86,104.2 +Colquhounia coccinea var. mollis,35.86,104.2 +Colquhounia vestita,25.2975,98.7953 +Craniotome furcata,27.4,102.17 +Dracocephalum argunense,26.56023,100.17643 +Dracocephalum bipinnatum,44.96,81.02 +Dracocephalum breviflorum,26.33,115.36 +Dracocephalum bullatum,26.876096,100.229945 +Dracocephalum calophyllum,28.58,92.5 +Dracocephalum heterophyllum,34.365,100.192778 +Dracocephalum hookeri,43.4802,84.2805 +Dracocephalum propinquum,27.93,101.28 +Dracocephalum tanguticum,28.7742,86.2194 +Dracocephalum tanguticum var. nanum,30.47,91.09 +Dracocephalum truncatum,29.67,97.84 +Dracocephalum wallichii,28.54,102.17 +Dracocephalum wallichii var. platyanthum,30.05,96.91 +Dracocephalum wallichii var. proliferum,28.66,97.46 +Elsholtzia blanda,35.86,104.2 +Elsholtzia capituligera,31.13,97.18 +Elsholtzia cephalantha,32.783333,103.266667 +Elsholtzia ciliata,36.06667,120.33334 +Elsholtzia cyprianii,25.8544,98.8486 +Elsholtzia cyprianii var. longipilosa,29.91,102.23 +Elsholtzia densa,33.693889,99.431111 +Elsholtzia eriostachya,29.0906,99.6747 +Elsholtzia feddei,31.833056,96.488333 +Elsholtzia fruticosa,32.080278,97.02 +Elsholtzia myosurus,29.91,102.23 +Elsholtzia ochroleuca,36.52,103.89167 +Elsholtzia pilosa,35.86,104.2 +Elsholtzia souliei,31.5344,100.702 +Elsholtzia stachyodes,26.257465,103.105257 +Elsholtzia stauntonii,40.628652,116.053582 +Elsholtzia strobilifera,24.8308,98.7678 +Eriophyton sunhangii,31.109444,96.874444 +Eriophyton tuberosum,28.85,85.29 +Eriophyton wallichii,27.824167,89.269165 +Galeopsis bifida,29.53,93.14 +Gmelina arborea,18.252625,109.511923 +Gomphostemma aborensis,21.934011,101.260734 +Gomphostemma lucidum,18.74,109.17 +Gomphostemma niveum,21.934011,101.260734 +Gomphostemma ovatum,21.934011,101.260734 +Gomphostemma parviflorum,22.01071,100.799775 +Gomphostemma parviflorum var. farinosum,22.01071,100.799775 +Gomphostemma stellatohirsutum,22.983563,103.687613 +Gomphostemma thomsonii,21.934011,101.260734 +Holmskioldia sanguinea,25.25,110.05 +Isodon atroruber,25.166111,116.193611 +Isodon aurantiacus,29.04608,93.34381 +Isodon coetsa,29.914155,102.234618 +Isodon grandifolius var. atuntzeensis,29.67,97.84 +Isodon hispidus,27.6973,98.317703 +Isodon lophanthoides,24.902838,113.067006 +Isodon lophanthoides var. graciliflorus,23.628125,100.012867 +Isodon loxothyrsus,25.399164,98.829727 +Isodon oresbius,30.055305,101.96483 +Isodon parvifolius,29.12,92.52 +Isodon pharicus,29.0447,99.7114 +Isodon pleiophyllus,29.83,91.73 +Isodon pulchokiensis,25.166111,116.193611 +Isodon repens,25.166111,116.193611 +Isodon rubescens,26.380833,110.814444 +Isodon rugosus,29.12,92.53 +Isodon scoparius,27.35361,100.16111 +Isodon scrophularioides,27.48,88.9 +Isodon sculponeatus,26.808914,99.633004 +Isodon silvaticus,25.166111,116.193611 +Isodon smithianus,29.03,93.15 +Isodon ternifolius,25.950001,98.826668 +Isodon walkeri,22.446542,111.031652 +Isodon wardii,28.95,93.22 +Isodon weisiensis,30.8503,101.277 +Lagopsis eriostachya,37.62,78.28 +Lagopsis flava,31.47,79.8 +Lagopsis supina,34.676667,100.643333 +Lamium amplexicaule,31.833056,96.488333 +Lamium barbatum,32.38885,109.361869 +Lamium gilongensis,28.85,85.29 +Leonurus japonicus,26.72,117.47 +Leonurus pseudomacranthus,33.156784,107.333733 +Leonurus urticifolius,43.15,81.13 +Leonurus villosissimus,39.35,115.5 +Leucas ciliata,25.2161,98.4961 +Leucas lavandulifolia,24.615701,100.709787 +Leucas mollissima,21.9667,100.4667 +Leucosceptrum canum,25.012526,102.700013 +Lophanthus tibeticus,32.05,118.79 +Lycopus lucidus var. hirtus,32.05,118.79 +Marmoritis complanata,28.466667,99.066667 +Marmoritis decolorans,31.4169,96.6917 +Marmoritis nivalis,31.712092,88.118532 +Marmoritis pharica,29.00333,89.61833 +Marmoritis rotundifolia,32.57,83.37 +Melissa axillaris,28.66,97.46 +Melissa flava,28.17,85.98 +Melissa yunnanensis,29.32,95.33 +Mentha asiatica,30.29,81.17 +Mentha canadensis,28.56055,98.83972 +Mentha longifolia,40.02,116.21 +Mentha spicata,30.27,120.17 +Micromeria biflora,28.85,85.29 +Microtoena delavayi,35.86,104.2 +Microtoena wardii,27.758056,98.593889 +Mosla cavaleriei,25.405255,113.713929 +Mosla dianthera,43.726,128.02 +Nepeta coerulescens,33.1094,97.4483 +Nepeta densiflora,37.07,115.67 +Nepeta dentata,31.24,97.28 +Nepeta discolor,29.25,90 +Nepeta floccosa,31.48,79.8 +Nepeta hemsleyana,29.68,91.13 +Nepeta jomdaensis,30.8503,101.277 +Nepeta laevigata,29.36,94.38 +Nepeta lamiopsis,29.32,95.33 +Nepeta leucolaena,41.877262,115.282996 +Nepeta longibracteata,30.29,81.17 +Nepeta membranifolia,29.6044,94.4094 +Nepeta prattii,32.9911,97.3481 +Nepeta raphanorhiza,29.89,91.26 +Nepeta souliei,29.25,94.25 +Nepeta stewartiana,29.1419,99.6497 +Nepeta supina,31.47,79.8 +Nepeta tenuiflora,26.876096,100.229945 +Nepeta wilsonii,28.48611,98.911543 +Nepeta yanthina,33.38,79.73 +Nepeta zandaensis,30.29,81.17 +Ocimum basilicum,30.033601,122.11138 +Origanum vulgare,28.40083,98.78472 +Orthosiphon incurvus,27.71,102.8 +Orthosiphon wattii,27.71,102.8 +Paralamium griffithii,23.298608,103.494193 +Perilla frutescens,43.869,127.334 +Perilla frutescens var. purpurascens,35.86,104.2 +Phlomis nyalamensis,28.17,85.98 +Phlomoides betonicoides,29.58,94.92 +Phlomoides congesta,28.33,103.13 +Phlomoides cuneata,29.29,87.23 +Phlomoides fimbriata,35.86,104.2 +Phlomoides hamosa,35.86,104.2 +Phlomoides longiaristata,27.740736,98.66582 +Phlomoides macrophylla,38.073254,104.69114 +Phlomoides medicinalis,31.49,98.21 +Phlomoides melanantha,35.86,104.2 +Phlomoides milingensis,29.22,94.22 +Phlomoides pygmaea,28.36,87.76 +Phlomoides rotata,30.6839,97.2619 +Phlomoides setifera,30.979541,101.125234 +Phlomoides tibetica,29.25,94 +Phlomoides tibetica var. wardii,29.85,95.76 +Phlomoides tuberosa,48.43,87.23 +Phlomoides umbrosa var. australis,35,111.83333 +Phlomoides younghushandii,31.712092,88.118532 +Platostoma coloratum,23.763342,98.82524 +Platostoma hispidum,24.77,105.33 +Plectranthus rotundifolius,42.78,128.51 +Pogostemon amaranthoides,35.86,104.2 +Pogostemon auricularius,25.258528,98.845642 +Pogostemon benghalensis,25.3969,98.8417 +Pogostemon brachystachyus,24.9222,98.6328 +Pogostemon dielsianus,35.86,104.2 +Pogostemon elsholtzioides,24.813781,113.184435 +Pogostemon glaber,25.3969,98.8417 +Pogostemon linearis,28.36,87.76 +Pogostemon menthoides,21.475834,101.56752 +Pogostemon parviflorus,24.682731,113.604544 +Pogostemon tuberculosus,24.399048,113.987821 +Pogostemon villosus,24.399048,113.987821 +Premna barbata,29.395394,120.166365 +Premna bengalensis,29.395394,120.166365 +Premna bracteata,29.32,95.33 +Premna coriacea,29.395394,120.166365 +Premna herbacea,22.697654,100.860736 +Premna interrupta,25.213333,98.578056 +Premna milleflora,26.417778,110.8 +Premna mollissima,29.395394,120.166365 +Premna oligantha,28.71,99.28 +Premna scandens,29.395394,120.166365 +Premna serratifolia,21.57,109.67 +Prunella hispida,28.85,85.29 +Prunella vulgaris,31.201056,103.847389 +Pseudocaryopteris bicolor,36.519977,103.891767 +Pseudocaryopteris paniculata,35.86,104.2 +Rotheca serrata,22.995965,105.835265 +Rubiteucris palmata,29.6008,102.068 +Salvia bifidocalyx,27.82308,99.706013 +Salvia bulleyana,27.776762,99.598579 +Salvia campanulata,28,99.53 +Salvia campanulata var. hirtella,28.85,85.29 +Salvia castanea,31.712092,88.118532 +Salvia chuanxiensis,38.073254,104.69114 +Salvia evansiana,28.54,102.17 +Salvia farinacea,37.83,112.52 +Salvia hylocharis,26.876096,100.229945 +Salvia maximowicziana,32.58333,103.83333 +Salvia mekongensis,35.86,104.2 +Salvia prattii,31.833825,96.485621 +Salvia przewalskii,35.86,104.2 +Salvia przewalskii var. glabrescens,28.48611,98.911543 +Salvia przewalskii var. mandarinorum,29.5058,96.7425 +Salvia roborowskii,31.68115,103.853481 +Salvia sikkimensis,29.85,95.76 +Salvia sikkimensis var. chaenocalyx,28.66,97.46 +Salvia subviolacea,27.672594,101.21912 +Salvia tricuspis,31.83,101.67 +Salvia trijuga,27.18,100.03 +Salvia wardii,31.08,96.97 +Schizonepeta annua,33.38,79.73 +Scutellaria discolor,35.86,104.2 +Scutellaria forrestii,26.993382,100.194412 +Scutellaria kingiana,28.36,87.76 +Scutellaria scandens,33.981028,108.20147 +Scutellaria violacea,30.210171,117.486516 +Siphocranion macranthum,25.6311,98.6736 +Sphenodesme pentandra var. wallichiana,18.74,109.17 +Stachys kouyangensis,35.86,104.2 +Stachys kouyangensis var. franchetiana,29.1419,99.6497 +Stachys melissifolia,28.85,85.29 +Stachys sieboldii,34.676667,100.643333 +Tectona grandis,23.12,113.34 +Teucrium grandifolium,26.43,110.85 +Teucrium quadrifarium,25.79,114.53 +Teucrium veronicoides,27.177166,99.28717 +Teucrium viscidum,21.957355,100.452547 +Teucrium wattii,35.86,104.2 +Thymus altaicus,40.082578,115.226208 +Thymus linearis,28.19,86.2 +Thymus quinquecostatus,34.608663,119.506767 +Vitex altissima,26.534082,100.42293 +Vitex burmensis,29.32,95.33 +Vitex glabrata,29.33,102.58 +Vitex negundo,39.996986,115.95285 +Vitex peduncularis,22.01071,100.799775 +Vitex pinnata,21.475834,101.56752 +Vitex quinata,19.121187,109.083491 +Vitex quinata var. puberula,23.327903,107.580539 +Vuhuangia flava,26.78,105.38 +Lancea hirsuta,32.637983,103.59895 +Lancea tibetica,27.777901,99.598686 +Mazus celsioides,35.86,104.2 +Mazus dentatus,38.073254,104.69114 +Mazus lecomtei,27.37,102.53 +Mazus pumilus,41.754,125.04 +Mazus pumilus var. macrocalyx,24.615701,100.709787 +Mazus surculosus,27.48,88.9 +Erythranthe bracteosa,27.69,108.85 +Erythranthe nepalensis,35.86,104.2 +Erythranthe procera,28.230591,103.636769 +Erythranthe tenella,41.464,127.544 +Erythranthe tibetica,27.129292,100.235176 +Microcarpaea minima,31.936558,121.30051 +Phryma leptostachya subsp. asiatica,25.827253,100.575146 +Wightia speciosissima,23.880344,100.092756 +Paulownia catalpifolia,37.79,114.41 +Aeginetia acaulis,25.13,105.39 +Alectra arvensis,25.2161,98.4961 +Brandisia racemosa,23.363,104.250727 +Brandisia rosea var. flava,35.86,104.2 +Centranthera cochinchinensis var. nepalensis,23.763342,98.82524 +Centranthera grandiflora,28.66,97.46 +Centranthera indica,35.846944,116.939444 +Christisonia hookeri,29.69,111.02 +Euphrasia chumbica,29.6111,94.6517 +Euphrasia jaeschkei,28.85,85.29 +Euphrasia melanosticta,32.046636,119.016547 +Euphrasia pectinata,43.828,128.706 +Euphrasia regelii,43.49,81.3 +Euphrasia regelii subsp. kangtienensis,29.7033,92.1214 +Lindenbergia grandiflora,22.01071,100.799775 +Lindenbergia griffithii,25.175621,110.351669 +Lindenbergia hookeri,35.86,104.2 +Lindenbergia indica,25.17,110.35 +Lindenbergia muraria,30.4769,111.206 +Mannagettaea hummelii,34.3575,100.256 +Orobanche alba,30.36,102.81 +Orobanche alsatica,29.65,91.12 +Orobanche cernua,38.62,103.09 +Orobanche clarkei,31.47,79.8 +Orobanche coerulescens,28.1775,98.786389 +Orobanche sinensis,28.66,97.46 +Orobanche solmsii,28.85,85.29 +Pedicularis alaschanica,34.6833,100.683 +Pedicularis alaschanica subsp. tibetica,29.656843,91.125101 +Pedicularis albiflora,42.09,117.52 +Pedicularis altifrontalis,28.66,97.46 +Pedicularis anas,28.385,98.78583 +Pedicularis anas var. tibetica,32.637983,103.59895 +Pedicularis angustiloba,29.58,94.98 +Pedicularis anomala,29.85,95.76 +Pedicularis aschistorrhyncha,35.86,104.2 +Pedicularis atroviridis,31.712092,88.118532 +Pedicularis atuntsiensis,30.0403,101.838 +Pedicularis aurata,35.86,104.2 +Pedicularis axillaris,35.86,104.2 +Pedicularis bella,28.47,92.23 +Pedicularis bella subsp. holophylla,29.05,93.07 +Pedicularis bietii,31.95,102.65 +Pedicularis bifida,28.17,85.98 +Pedicularis bomiensis,29.85,95.76 +Pedicularis brevilabris,36.07,103.75 +Pedicularis cephalantha,35.86,104.2 +Pedicularis cernua,26.901731,98.869207 +Pedicularis cheilanthifolia,30.055305,101.96483 +Pedicularis cheilanthifolia subsp. svenhedinii,30.93,88.7 +Pedicularis chenocephala,34.460556,100.401667 +Pedicularis chumbica,29.6111,94.6517 +Pedicularis cinerascens,28.96,102.104 +Pedicularis clarkei,28.3,90.85 +Pedicularis columigera,30.05,93.98 +Pedicularis comptoniifolia,27.42,101.5 +Pedicularis confertiflora,36.92,101.32 +Pedicularis cornigera,28.36,87.76 +Pedicularis corydaloides,35.86,104.2 +Pedicularis corymbifera,29.85,95.76 +Pedicularis cranolopha,30.055305,101.96483 +Pedicularis croizatiana,30.2186,99.2294 +Pedicularis cryptantha,31.712092,88.118532 +Pedicularis cryptantha subsp. erecta,31.712092,88.118532 +Pedicularis cyathophylla,30.13,100.83 +Pedicularis cyathophylloides,29.000343,101.507299 +Pedicularis daltonii,35.86,104.2 +Pedicularis davidii,31.8503,102.67 +Pedicularis densispica,27.90126,99.638008 +Pedicularis densispica subsp. schneideri,26.56023,100.17643 +Pedicularis densispica subsp. viridescens,27.82308,99.706013 +Pedicularis dichotoma,28.13,99.43 +Pedicularis diffusa,29.333333,94.716667 +Pedicularis diffusa subsp. elatior,29.333333,94.716667 +Pedicularis dolichocymba,0,0 +Pedicularis duclouxii,0,0 +Pedicularis dunniana,0,0 +Pedicularis elliotii,0,0 +Pedicularis elsholtzioides,0,0 +Pedicularis elwesii,35.86,104.2 +Pedicularis elwesii subsp. major,35.86,104.2 +Pedicularis elwesii subsp. minor,35.86,104.2 +Pedicularis excelsa,28,91.95 +Pedicularis filiculiformis,31.712092,88.118532 +Pedicularis fletcheri,29.05,93.98 +Pedicularis flexuosa,31.93,94.03 +Pedicularis floribunda,31.8,98.58 +Pedicularis furfuracea,27.48,88.9 +Pedicularis garckeana,33.43,91.22 +Pedicularis glabrescens,35.86,104.2 +Pedicularis globifera,29.656843,91.125101 +Pedicularis gracilis,35.86,104.2 +Pedicularis gracilis subsp. macrocarpa,27.48,88.9 +Pedicularis gracilis subsp. sinensis,35.86,104.2 +Pedicularis gracilis subsp. stricta,27.82308,99.706013 +Pedicularis gracilituba,27.82308,99.706013 +Pedicularis gyirongensis,28.85,85.29 +Pedicularis henryi,26.337942,115.363193 +Pedicularis heydei,27.48,88.9 +Pedicularis inflexirostris,35.86,104.2 +Pedicularis ingens,28.93,99.79 +Pedicularis insignis,28.48611,98.911543 +Pedicularis instar,35.86,104.2 +Pedicularis integrifolia,33.205,97.428056 +Pedicularis integrifolia subsp. integerrima,27.82308,99.706013 +Pedicularis kansuensis,36.584828,100.494247 +Pedicularis kansuensis subsp. kokonorica,34.6833,100.683 +Pedicularis kansuensis subsp. villosa,31.833056,96.488333 +Pedicularis kawaguchii,31.1661,97.3006 +Pedicularis khoiyangii,35.86,104.2 +Pedicularis kongboensis,29.05,93.98 +Pedicularis kuruchuensis,28.3,90.85 +Pedicularis lachnoglossa,30.055305,101.96483 +Pedicularis latituba,29.99,100.26 +Pedicularis lecomtei,28.17,85.98 +Pedicularis lhasana,29.1419,99.6497 +Pedicularis liguliflora,30,97.45 +Pedicularis likiangensis,35.86,104.2 +Pedicularis lineata,23.763342,98.82524 +Pedicularis longicalyx,29.63,94.36 +Pedicularis longiflora,27.623894,99.639359 +Pedicularis longiflora var. tubiformis,27.623894,99.639359 +Pedicularis longipes,30.979541,101.125234 +Pedicularis longipetiolata,35.86,104.2 +Pedicularis longistipitata,31.875278,96.523611 +Pedicularis lutescens,35.86,104.2 +Pedicularis lutescens subsp. longipetiolata,35.86,104.2 +Pedicularis lutescens subsp. ramosa,25.584234,100.222124 +Pedicularis lyrata,31.87,99.12 +Pedicularis macrorhyncha,26.876096,100.229945 +Pedicularis macrosiphon,35.86,104.2 +Pedicularis mayana,26.901731,98.869207 +Pedicularis megalantha,27.97,87.22 +Pedicularis megalochila,29.000343,101.507299 +Pedicularis megalochila var. ligulata,29.000343,101.507299 +Pedicularis merrilliana,29.7108,98.0025 +Pedicularis microcalyx,29.9,94.87 +Pedicularis microchila,35.86,104.2 +Pedicularis mollis,32.286111,96.505556 +Pedicularis muscicola,34.84,104.47 +Pedicularis muscoides,29.68,89.09 +Pedicularis mychophila,29.03,92.33 +Pedicularis nana,31.03,92.47 +Pedicularis nepalensis,29.25,94.25 +Pedicularis ningjuingensis,29.7,98.48 +Pedicularis nyalamensis,30.29,81.17 +Pedicularis nyingchiensis,29.63,94.4 +Pedicularis odontophora,35.86,104.2 +Pedicularis oederi,28.141127,99.909203 +Pedicularis oederi subsp. branchyophylla,28.17,85.98 +Pedicularis oederi var. angustiflora,30.05,101.96 +Pedicularis oederi var. heteroglossa,31.39,90 +Pedicularis oederi var. sinensis,34.469167,100.3925 +Pedicularis oligantha,31.712092,88.118532 +Pedicularis oliveriana,29.73797,103.231884 +Pedicularis pantlingii,35.86,104.2 +Pedicularis pectinatiformis,33.000556,97.328889 +Pedicularis pheulpinii,34.4692,100.393 +Pedicularis pheulpinii subsp. chilienensis,38.18,100.25 +Pedicularis pilostachya,31.0778,96.9478 +Pedicularis plicata,28.48611,98.911543 +Pedicularis plicata subsp. apiculata,31.712092,88.118532 +Pedicularis polygaloides,27.93,101.28 +Pedicularis porriginosa,35.86,104.2 +Pedicularis praeruptorum,35.86,104.2 +Pedicularis prainiana,29.6111,94.6517 +Pedicularis przewalskii,35.420833,99.466944 +Pedicularis przewalskii subsp. australis,28.48611,98.911543 +Pedicularis przewalskii subsp. microphyton,30.073745,101.804138 +Pedicularis pseudoingens,28.48611,98.911543 +Pedicularis pseudomelampyriflora,30.055305,101.96483 +Pedicularis pseudoversicolor,28.48611,98.911543 +Pedicularis punctata,35.86,104.2 +Pedicularis pygmaea,34.92,98.18 +Pedicularis quxiangensis,35.86,104.2 +Pedicularis ramosissima,28.48611,98.911543 +Pedicularis regeliana,32.059064,119.418318 +Pedicularis reptans,31.712092,88.118532 +Pedicularis retingensis,31.712092,88.118532 +Pedicularis rex,27.901518,99.638107 +Pedicularis rex subsp. zayuensis,27.901518,99.638107 +Pedicularis rhinanthoides,35.86,104.2 +Pedicularis rhinanthoides subsp. labellata,32.637983,103.59895 +Pedicularis rhinanthoides subsp. tibetica,28.7464,100.269 +Pedicularis rhizomatosa,31.712092,88.118532 +Pedicularis rhodotricha,29.037008,100.298406 +Pedicularis rhynchotricha,30.005,93.968 +Pedicularis rigidescens,35.86,104.2 +Pedicularis robusta,28.63,92.22 +Pedicularis rotundifolia,29.22,94.22 +Pedicularis roylei,32.675,97.2944 +Pedicularis roylei subsp. megalantha,31.41,95.59 +Pedicularis roylei subsp. shawii,29.65,91.12 +Pedicularis roylei var. brevigaleata,29.85,95.76 +Pedicularis rudis,30.1711,101.869 +Pedicularis rupicola,28.479722,98.948611 +Pedicularis schizorrhyncha,35.86,104.2 +Pedicularis scolopax,32.927222,97.266667 +Pedicularis scullyana,35.86,104.2 +Pedicularis sherriffii,31.712092,88.118532 +Pedicularis sima,31.13,97.18 +Pedicularis siphonantha,27.930353,99.615509 +Pedicularis siphonantha var. stictochila,29.037008,100.298406 +Pedicularis sphaerantha,29.58,94.97 +Pedicularis spicata,47.76,122.79 +Pedicularis stenotheca,31.712092,88.118532 +Pedicularis strobilacea,28.48611,98.911543 +Pedicularis stylosa,28.17,85.98 +Pedicularis subulatidens,31.712092,88.118532 +Pedicularis sunkosiana,35.86,104.2 +Pedicularis superba,27.82308,99.706013 +Pedicularis szetschuanica,34.75,100.22 +Pedicularis szetschuanica subsp. anastomosans,31.8,98.58 +Pedicularis takpoensis,31.712092,88.118532 +Pedicularis tantalorhyncha,25.7,100.083 +Pedicularis tatsienensis,28.573056,99.813889 +Pedicularis tayloriana,31.712092,88.118532 +Pedicularis tenacifolia,31.712092,88.118532 +Pedicularis tenera,30.055305,101.96483 +Pedicularis tenuicaulis,26.998139,100.200667 +Pedicularis ternata,36.92,101.32 +Pedicularis thamnophila,27.82308,99.706013 +Pedicularis tongolensis,31.8,92.8283 +Pedicularis trichoglossa,35.86,104.2 +Pedicularis trichomata,31.5,98.22 +Pedicularis tricolor,32.5819,100.463 +Pedicularis tsarungensis,31.712092,88.118532 +Pedicularis verbenifolia,35.86,104.2 +Pedicularis verticillata,33.581667,99.489722 +Pedicularis vialii,35.86,104.2 +Pedicularis wallichii,27.129196,100.235283 +Pedicularis wardii,27.099444,98.872222 +Pedicularis yarilaica,35.86,104.2 +Pedicularis zayuensis,28.66,97.46 +Phtheirospermum japonicum,26.417778,110.8 +Phtheirospermum tenuisectum,35.86,104.2 +Siphonostegia chinensis,44.086,128.867 +Sopubia trifida,22.65,108.31 +Striga asiatica,23.9,106.61 +Triphysaria chinensis,25.012526,102.700013 +Xizangia bartschioides,35.86,104.2 +Xylanche himalaica,30.99918,102.3644 +Gomphandra tetrandra,22.09,107.95 +Cardiopteris quinqueloba,22.010889,100.79926 +Helwingia himalaica,29.039409,110.484279 +Helwingia japonica,26.75943,99.692031 +Ilex atrata,29.32,95.33 +Ilex bioritsensis,27.44164,104.873642 +Ilex crenata,27.82,120.47 +Ilex cyrtura,35.86,104.2 +Ilex delavayi,35.86,104.2 +Ilex dicarpa,29.32,95.33 +Ilex dipyrena,24.976725,101.487417 +Ilex fargesii subsp. melanotricha,35.86,104.2 +Ilex forrestii,35.86,104.2 +Ilex fragilis,35.86,104.2 +Ilex hookeri,35.86,104.2 +Ilex intricata,29.32,95.33 +Ilex kingiana,25.5,98.55 +Ilex longecaudata,27.7431,98.3469 +Ilex medogensis,29.3253,95.333197 +Ilex micrococca,30.353794,119.436458 +Ilex miguensis,28.863,96.648 +Ilex nothofagifolia,35.86,104.2 +Ilex odorata,27.629167,98.675 +Ilex perryana,35.86,104.2 +Ilex rockii,28.48611,98.911543 +Ilex rotunda subsp. excelsa,30.29365,120.161419 +Ilex sikkimensis,35.86,104.2 +Ilex szechwanensis,35.86,104.2 +Ilex triflora,29.15,112.5 +Ilex umbellulata,22.01071,100.799775 +Ilex venulosa,24.8297,98.7647 +Ilex yunnanensis,35.86,104.2 +Adenophora capillaris subsp. leptosepala,35.86,104.2 +Adenophora coelestis,35.86,104.2 +Adenophora himalayana,33.57587,102.961829 +Adenophora himalayana subsp. alpina,32.44,104.55 +Adenophora jasionifolia,31.3,97.98 +Adenophora khasiana,27.7386,98.3489 +Adenophora liliifolioides,28.7672,99.87 +Asyneuma chinense,35.86,104.2 +Asyneuma fulgens,28.85,85.29 +Campanula argyrotricha,26.43,99.95 +Campanula aristata,32.49,80.09 +Campanula cana,31.47,79.8 +Campanula dimorphantha,29.49,103.39 +Campanula glomeratoides,29.85,95.76 +Campanula hongii,28.66,97.46 +Campanula immodesta,28.93,85.4 +Campanula latifolia,43.899,88.121 +Campanula microphylloidea,43.899,88.121 +Campanula nakaoi,28.85,85.29 +Campanula pallida,35.86,104.2 +Campanula punctata,31.331599,110.783718 +Campanula rotata,30.6839,97.2619 +Campanula sylvatica,43.899,88.121 +Codonopsis affinis,30.878627,101.89063 +Codonopsis alpina,35.86,104.2 +Codonopsis benthamii,32,90 +Codonopsis bhutanica,28,91.95 +Codonopsis bomiensis,30.4578,100.302 +Codonopsis bulleyana,27.787725,99.580017 +Codonopsis campanulata,42.030362,128.046581 +Codonopsis canescens,32.120833,97.035 +Codonopsis foetens,28.325063,99.1081 +Codonopsis foetens subsp. nervosa,28.484444,98.948889 +Codonopsis gracilis,27.83,101 +Codonopsis hongii,27.723301,98.359398 +Codonopsis inflata,32,90 +Codonopsis javanica,25.673893,98.660553 +Codonopsis pilosula subsp. handeliana,35.86,104.2 +Codonopsis rotundifolia,42.030362,128.046581 +Codonopsis subglobosa,28.537778,99 +Codonopsis subsimplex,27.38,88.83 +Codonopsis thalictrifolia,29.63,94.36 +Codonopsis thalictrifolia subsp. mollis,29.63,94.36 +Codonopsis tubulosa subsp. vadsea,28.966068,102.771746 +Codonopsis viridiflora,32.58333,103.83333 +Codonopsis viridis,32.58333,103.83333 +Cyananthus cordifolius,28.85,85.29 +Cyananthus delavayi,26.144167,99.925278 +Cyananthus hookeri,35.86,104.2 +Cyananthus incanus,35.86,104.2 +Cyananthus inflatus,35.86,104.2 +Cyananthus lichiangensis,29.63,94.36 +Cyananthus ligulosus,32.71667,102.68333 +Cyananthus lobatus,35.86,104.2 +Cyananthus macrocalyx,28.401091,99.451424 +Cyananthus microphyllus,28.55,85.3 +Cyananthus pedunculatus,27.48,88.9 +Cyananthus sericeus,29.03,100.3 +Cyananthus sherriffii,29.04,93.07 +Cyananthus wardii,32.71667,102.68333 +Cyclocodon celebicus,28.66,97.46 +Cyclocodon lancifolius,25.79,114.53 +Cyclocodon parviflorus,35.86,104.2 +Himalacodon dicentrifolius,28.85,85.29 +Lobelia alsinoides,22.54,114.05 +Lobelia doniana,28.85,85.29 +Lobelia erectiuscula,28,91.95 +Lobelia montana,22.983563,103.687613 +Lobelia nummularia,18.87,109.68 +Lobelia pleotricha,25.5278,98.6664 +Lobelia pyramidalis,24.39,106.63 +Lobelia rosea,24.976725,101.487417 +Lobelia zeylanica,22.06,106.86 +Pankycodon purpureus,25.584234,100.222124 +Peracarpa carnosa,23.146851,99.246047 +Pseudocodon convolvulaceus,26.600489,99.820223 +Pseudocodon graminifolius,26.823156,100.340191 +Pseudocodon grey-wilsonii,26.086256,102.843962 +Pseudocodon vinciflorus,27.928607,101.279419 +Pseudocodon vinciflorus subsp. dianchuanicus,30.05,101.96 +Menyanthes trifoliata,43.683756,127.383846 +Nymphoides peltata,44.583,129.6 +Acilepis aspera,24.39,106.63 +Acilepis attenuata,29.805032,106.395571 +Acilepis saligna,35.86,104.2 +Acmella calva,21.68,101.31 +Acmella ciliata,24.42,107.35 +Acmella oleracea,21.68,101.31 +Acmella paniculata,22.67,103.92 +Adenocaulon himalaicum,31.82,108.62 +Adenostemma lavenia,27.199105,113.836601 +Adenostemma lavenia var. latifolium,35.86,104.2 +Ageratina adenophora,25.664325,102.650987 +Ageratum conyzoides,23.185814,113.292221 +Ageratum houstonianum,23.17,113.35 +Ainsliaea angustifolia,26.901731,98.869207 +Ainsliaea aptera,30.1,95.12 +Ainsliaea foliosa,27.82308,99.706013 +Ainsliaea fulvipes,25.7,100.1833 +Ainsliaea henryi,35.86,104.2 +Ainsliaea latifolia,29.03,93.92 +Ainsliaea reflexa,28.66,97.46 +Ainsliaea spicata,35.86,104.2 +Ainsliaea yunnanensis,35.86,104.2 +Ajania brachyantha,28.67,87.12 +Ajania fastigiata,37.503189,101.760864 +Ajania fruticulosa,36.075898,103.757243 +Ajania gracilis,32.3,84.06 +Ajania khartensis,34.365,100.193 +Ajania myriantha,29.565,94.5436 +Ajania nitida,30.055305,101.96483 +Ajania nubigena,28.85,85.29 +Ajania penicilliformis,29.68,89.09 +Ajania przewalskii,32.637983,103.59895 +Ajania purpurea,29.65,91.12 +Ajania ramosa,32.3169,96.6267 +Ajania scharnhorstii,33.38,79.73 +Ajania tenuifolia,32.1431,97.2706 +Ajania tibetica,29.037008,100.298406 +Ajania trilobata,37.62,78.28 +Allardia glabra,29.77,84.03 +Allardia huegelii,30.3,81.17 +Allardia lasiocarpa,33.38,79.73 +Allardia nivea,32,90 +Allardia stoliczkae,42.6,85.5 +Allardia tomentosa,31.15,81.33 +Allardia vestita,30.35,90.57 +Ambrosia artemisiifolia,23.38,113.17 +Anaphalis acutifolia,28.85,85.29 +Anaphalis aureopunctata,28.481389,98.790556 +Anaphalis aureopunctata var. atrata,35.86,104.2 +Anaphalis aureopunctata var. tomentosa,24.175587,110.235565 +Anaphalis bicolor,32.9911,97.3481 +Anaphalis bicolor var. subconcolor,36.519977,103.891767 +Anaphalis bicolor var. undulata,27.82308,99.706013 +Anaphalis busua,35.86,104.2 +Anaphalis cavei,30.17,81.33 +Anaphalis contorta,28.85,85.29 +Anaphalis contortiformis,29.32,95.33 +Anaphalis delavayi,35.86,104.2 +Anaphalis deserti,30.29,81.17 +Anaphalis flavescens,28.573056,99.813889 +Anaphalis hancockii,30.5854,108.91005 +Anaphalis hondae,29.85,95.76 +Anaphalis larium,28.48611,98.911543 +Anaphalis latialata,32.0944,97.2667 +Anaphalis margaritacea,28.471389,98.788056 +Anaphalis margaritacea var. angustifolia,35.86,104.2 +Anaphalis margaritacea var. cinnamomea,35.86,104.2 +Anaphalis nepalensis,28.596944,99.867778 +Anaphalis nepalensis var. corymbosa,29.7786,94.7247 +Anaphalis nepalensis var. monocephala,35.86,104.2 +Anaphalis oxyphylla,35.86,104.2 +Anaphalis pannosa,28.65361,98.62333 +Anaphalis plicata,29.7408,91.1164 +Anaphalis porphyrolepis,29.9,94.87 +Anaphalis rhododactyla,35.86,104.2 +Anaphalis royleana,28.53,85.27 +Anaphalis souliei,30.0403,101.838 +Anaphalis spodiophylla,29.27,92.17 +Anaphalis stenocephala,28.661276,97.466916 +Anaphalis tibetica,28.491111,98.939722 +Anaphalis triplinervis,28.85,85.29 +Anaphalis virens,29.0725,99.6322 +Anaphalis viridis,28.596944,99.867778 +Anaphalis xylorhiza,29.67,97.84 +Anaphalis yangii,27.82308,99.706013 +Arctium lappa,28.040278,98.595556 +Artemisia annua,39.92,116.42 +Artemisia baxoiensis,29.6728,96.7781 +Artemisia calophylla,27.48,88.9 +Artemisia campbellii,27.48,88.9 +Artemisia comaiensis,31.1094,96.8744 +Artemisia dalai-lamae,36.053889,100.323889 +Artemisia demissa,32.49,80.09 +Artemisia desertorum,40.44,117.72 +Artemisia desertorum var. foetida,31.39,90 +Artemisia desertorum var. tongolensis,36.5875,100.490556 +Artemisia divaricata,30.29,108.93 +Artemisia dubia,28.27,105.1 +Artemisia dubia var. subdigitata,22.01071,100.799775 +Artemisia duthreuil-de-rhinsi,35.261667,98.9825 +Artemisia frigida,46.52,89.47 +Artemisia gmelinii,34.737778,98.111667 +Artemisia gmelinii var. incana,33.15355,106.67304 +Artemisia gyangzeensis,28.91,89.6 +Artemisia gyitangensis,34.047,104.393 +Artemisia hedinii,28.48611,98.911543 +Artemisia imponens,30.05,96.91 +Artemisia indica,31.82,108.62 +Artemisia japonica,28.04138,98.595 +Artemisia jilongensis,28.85,85.29 +Artemisia lavandulifolia,39.75,122.15 +Artemisia leucophylla,41.881,126.38 +Artemisia lingyeouruennii,32.383056,98.238889 +Artemisia macrocephala,29.77,84.03 +Artemisia mattfeldii,36.519977,103.891767 +Artemisia mattfeldii var. etomentosa,30.05,101.96 +Artemisia minor,29.77,84.03 +Artemisia mustangensis,34.047,104.393 +Artemisia myriantha,32.710278,97.419722 +Artemisia nanschanica,34.5942,99.8392 +Artemisia nilagirica,29.32,95.33 +Artemisia nortonii,28.35,90.9 +Artemisia nujianensis,28.71,99.28 +Artemisia occidentalisinensis,31.62,99.99 +Artemisia occidentalisinensis var. denticulata,31.62,99.99 +Artemisia orientalixizangensis,34.047,104.393 +Artemisia parviflora,27.48,88.9 +Artemisia persica,29.65,91.12 +Artemisia pewzowii,33.000556,97.328889 +Artemisia prattii,29.65,91.05 +Artemisia pubescens,41.25,114.81 +Artemisia roxburghiana,29.9969,100.8794 +Artemisia scoparia,40.02,116.21 +Artemisia sieversiana,43.5,116.816667 +Artemisia speciosa,31.8,98.58 +Artemisia stechmanniana,36.31,118.05 +Artemisia stracheyi,32.3,84.06 +Artemisia stricta,28.66,97.46 +Artemisia stricta var. diffusa,34,102.07 +Artemisia succulentoides,29.65,91.12 +Artemisia tafelii,29.32,95.33 +Artemisia tainingensis,36.519977,103.891767 +Artemisia tainingensis var. nitida,31.72,100.719 +Artemisia tanacetifolia,49.58,117.48 +Artemisia tangutica,30.05389,101.95667 +Artemisia tangutica var. tomentosa,30.05389,101.95667 +Artemisia thellungiana,35.86,104.2 +Artemisia tridactyla,36.519977,103.891767 +Artemisia velutina,28.66,97.46 +Artemisia vestita,30.05,101.96 +Artemisia vexans,29.7008,91.4303 +Artemisia viscida,27.928607,101.279419 +Artemisia viscidissima,34.047,104.393 +Artemisia vulgaris,31.22222,121.45806 +Artemisia vulgaris var. xizangensis,31.48,93.68 +Artemisia wallichiana,27.516333,100.000833 +Artemisia waltonii,33.0006,97.3289 +Artemisia waltonii var. yushuensis,32.746389,97.347222 +Artemisia wellbyi,30.1711,97.3336 +Artemisia xigazeensis,29.65,91.12 +Artemisia yadongensis,27.48,88.9 +Artemisia younghusbandii,36.519977,103.891767 +Artemisia youngii,29.67,97.85 +Artemisia yunnanensis,35.86,104.2 +Artemisia zayuensis,28.66,97.46 +Askellia flexuosa,36.487917,100.470293 +Askellia lactea,30.93,88.7 +Askellia pygmaea,29.27,88.88 +Aster ageratoides,40.052975,116.072669 +Aster albescens,27.128967,100.23233 +Aster albescens var. glabratus,31.82,108.62 +Aster albescens var. glandulosus,29.48667,91.83278 +Aster albescens var. gracilior,25.584234,100.222124 +Aster albescens var. limprichtii,27.37,102.53 +Aster albescens var. pilosus,29.63,94.36 +Aster albescens var. salignus,27.82308,99.706013 +Aster alpinus,27.82308,99.706013 +Aster altaicus,36.06667,120.33334 +Aster argyropholis,30.91,102.54 +Aster asteroides,28.91,89.6 +Aster auriculatus,29.49,103.39 +Aster barbellatus,28.85,85.29 +Aster batangensis,29.000343,101.507299 +Aster bipinnatisectus,29.969,93.694 +Aster boweri,28.37,87.77 +Aster crenatifolius,37.6,112.2 +Aster diplostephioides,26.908457,102.930168 +Aster eligulatus,30.93,94.7 +Aster farreri,31.87,99.12 +Aster flaccidus,34.177222,97.768611 +Aster flaccidus subsp. glandulosus,28.85,85.29 +Aster fulgidulus,29.63,94.36 +Aster fuscescens,33.97,107.24 +Aster gouldii,28.91,89.6 +Aster heliopsis,31.25,121.4 +Aster hersileoides,31.08,103.26 +Aster heterolepis,33.392394,104.926525 +Aster himalaicus,28.491111,98.939722 +Aster hololachnus,28.65,87.12 +Aster hypoleucus,29.13,92.57 +Aster indamellus,32,90 +Aster ionoglossus,28.85,85.29 +Aster latibracteatus,25.75,100.08 +Aster likiangensis,29.45,94.95 +Aster lingulatus,28.93,99.79 +Aster molliusculus,21.475834,101.56752 +Aster motuoensis,29.32,95.33 +Aster neoelegans,27.48,88.9 +Aster neolanuginosus,38.073254,104.69114 +Aster oreophilus,31.92,102.05 +Aster poliothamnus,34.75,100.22 +Aster prainii,29.77,84.03 +Aster pycnophyllus,29.63,94.36 +Aster retusus,29.967,94.251 +Aster salwinensis,27.928607,101.279419 +Aster semiprostratus,32.637983,103.59895 +Aster sikkimensis,35.86,104.2 +Aster souliei,30.055305,101.96483 +Aster stracheyi,35.86,104.2 +Aster thomsonii,35.86,104.2 +Aster tongolensis,31.87,99.12 +Aster tricephalus,38.073254,104.69114 +Aster trinervius,30.592608,118.877245 +Aster tsarungensis,28.91,89.6 +Aster verticillatus,25.3839,102.733 +Aster vestitus,27.48,88.9 +Aster yunnanensis,27.33,100.67 +Aster yunnanensis var. angustior,36.519977,103.891767 +Aster yunnanensis var. labrangensis,33.8958,99.6806 +Bellis perennis,29.68,115.98 +Bidens alba,23.17,113.35 +Bidens bipinnata,35.86,104.2 +Bidens biternata,33.15355,106.67304 +Bidens cernua,29.6339,94.3847 +Bidens parviflora,41.81,126.91 +Bidens pilosa,25.909859,109.172836 +Bidens tripartita,39.31,115.24 +Blumea aromatica,26.466667,111.316667 +Blumea balsamifera,23.32,107.58 +Blumea densiflora,24.532025,103.766191 +Blumea fistulosa,23.9,106.61 +Blumea flava,25.758375,110.120117 +Blumea formosana,26.32,116.34 +Blumea hamiltonii,23.625319,105.630906 +Blumea hieraciifolia,23.12,113.34 +Blumea lacera,23.9,106.61 +Blumea lanceolaria,35.86,104.2 +Blumea membranacea,18.252625,109.511923 +Blumea repanda,24.615701,100.709787 +Blumea riparia,35.86,104.2 +Blumea sinuata,24.012775,97.851888 +Bolocephalus saussureoides,31.712092,88.118532 +Calendula officinalis,37.92,102.64 +Callistephus chinensis,39.722313,114.869253 +Carduus acanthoides,28.56055,98.83972 +Carduus crispus,43.12,127 +Carpesium abrotanoides,40.003937,116.210493 +Carpesium cernuum,43.85,127.637 +Carpesium cordatum,35.86,104.2 +Carpesium divaricatum,30.416008,119.413696 +Carpesium humile,29.037008,100.298406 +Carpesium lipskyi,28.479167,98.778611 +Carpesium nepalense,29.92,94.88 +Carpesium nepalense var. lanatum,35.86,104.2 +Carpesium scapiforme,27.975,98.474722 +Carpesium tracheliifolium,33.558875,108.564298 +Carthamus tinctorius,24.615701,100.709787 +Cavea tanguensis,29.037008,100.298406 +Centaurea cyanus,29,107 +Centipeda minima,43.896,126.921 +Chromolaena odorata,21.919623,101.27736 +Chrysanthemum morifolium,36.721847,117.053448 +Cicerbita roborowskii,28.1217,85.99 +Cichorium intybus,32.47947,99.70944 +Cirsium albicephalum,38.073254,104.69114 +Cirsium argyracanthum,33.38,79.73 +Cirsium arvense,46.25,122.93 +Cirsium arvense var. alpestre,44.43,84.67 +Cirsium arvense var. setosum,40.64,109.93 +Cirsium eriophoroides,35.86,104.2 +Cirsium handelii,35.86,104.2 +Cirsium lipskyi,35.86,104.2 +Cirsium nishiokae,38.073254,104.69114 +Cirsium shansiense,35.86,104.2 +Cirsium souliei,29.8839,92.3328 +Cirsium subulariforme,35.86,104.2 +Cirsium wallichii var. nepalensis,27.448256,99.819992 +Cissampelopsis corifolia,29.32,95.33 +Cissampelopsis volubilis,25.25,110.05 +Conyza semipinnatifida,22.74,113.95 +Cosmos bipinnatus,36.85,114.5 +Cotula australis,23.12,113.34 +Cotula hemisphaerica,31.95,108.67 +Cousinia falconeri,30.3,81.17 +Cousinia thomsonii,30.29,81.17 +Crassocephalum crepidioides,24.8616,102.9585 +Cremanthodium angustifolium,29.037008,100.298406 +Cremanthodium arnicoides,28.85,85.29 +Cremanthodium atrocapitatum,29.2189,101.516 +Cremanthodium bhutanicum,28,91.95 +Cremanthodium bomiense,29.7786,94.7247 +Cremanthodium brunneopilosum,33.00528,97.0065 +Cremanthodium bulbilliferum,35.86,104.2 +Cremanthodium bupleurifolium,35.86,104.2 +Cremanthodium campanulatum,27.624517,99.643997 +Cremanthodium conaense,28,91.95 +Cremanthodium cordatum,27.48,88.9 +Cremanthodium decaisnei,29.7108,98.0025 +Cremanthodium discoideum,37.503189,101.760864 +Cremanthodium ellisii,35.86,104.2 +Cremanthodium ellisii var. ramosum,37.503189,101.760864 +Cremanthodium farreri,35.86,104.2 +Cremanthodium forrestii,35.86,104.2 +Cremanthodium glandulipilosum,30.93,88.7 +Cremanthodium glaucum,28.484444,98.948889 +Cremanthodium helianthus,31.65,100.32 +Cremanthodium humile,33.160178,97.126143 +Cremanthodium indicum,27.624517,99.643997 +Cremanthodium laciniatum,30.05,96.91 +Cremanthodium lineare,29.7033,92.1214 +Cremanthodium medogense,27.624517,99.643997 +Cremanthodium microglossum,31.852663,96.424628 +Cremanthodium microphyllum,29.04,93.07 +Cremanthodium nanum,28.8164,99.2158 +Cremanthodium nepalense,28.07,87.28 +Cremanthodium nervosum,28.17,85.98 +Cremanthodium nobile,31.92061,102.56017 +Cremanthodium oblongatum,29.65,91.12 +Cremanthodium obovatum,30.1711,97.3336 +Cremanthodium palmatum,35.86,104.2 +Cremanthodium petiolatum,30.3,81.17 +Cremanthodium phyllodineum,35.86,104.2 +Cremanthodium pinnatifidum,27.98,87.17 +Cremanthodium pinnatisectum,35.86,104.2 +Cremanthodium pseudo-oblongatum,29.68,89.09 +Cremanthodium puberulum,31.9272,96.4597 +Cremanthodium purpureifolium,28.85,85.29 +Cremanthodium reniforme,27.038056,100.181389 +Cremanthodium rhodocephalum,35.86,104.2 +Cremanthodium smithianum,28.8992,100.286 +Cremanthodium stenactinium,31.725,100.744 +Cremanthodium stenoglossum,33.3769,100.29 +Cremanthodium thomsonii,29.32,95.33 +Cremanthodium trilobum,29.32,95.33 +Cremanthodium variifolium,35.86,104.2 +Cremanthodium yadongense,27.48,88.9 +Crepidiastrum diversifolium,42.6,85.5 +Crepidiastrum tenuifolium,40.070461,115.51477 +Crepis bodinieri,28.66,97.46 +Crepis elongata,30.29,81.17 +Cyanthillium cinereum,30.27,120.17 +Dahlia pinnata,36.7,101.75 +Decaneuropsis blanda,35.86,104.2 +Decaneuropsis gratiosa,24.709264,117.31493 +Decaneuropsis vagans,19,109 +Dichrocephala benthamii,35.86,104.2 +Dichrocephala chrysanthemifolia,27.0856,98.8667 +Dichrocephala integrifolia,35.86,104.2 +Dolomiaea calophylla,29.29,87.23 +Dolomiaea crispoundulata,35.86,104.2 +Dolomiaea lateritia,28.85,85.29 +Dolomiaea macrocephala,35.97,76.5 +Dolomiaea salwinensis,35.86,104.2 +Dolomiaea scabrida,29.29,87.23 +Dolomiaea souliei,30.881667,102.941389 +Dolomiaea souliei var. cinerea,31.72,100.72 +Dolomiaea wardii,29.75,91.15 +Doronicum briquetii,28.37,100.38 +Doronicum falconeri,43.23333,87.08333 +Doronicum kamaonense,35.20256,102.521732 +Doronicum stenoglossum,32.77,96.67 +Dubyaea atropurpurea,31.7617,100.757 +Dubyaea cymiformis,27.48,88.9 +Dubyaea hispida,29.6161,94.6222 +Dubyaea stebbinsii,28.666667,93.633333 +Dubyaea tsarongensis,35.86,104.2 +Duhaldea cappa,22.597759,114.026453 +Duhaldea eupatorioides,35.86,104.2 +Duhaldea nervosa,35.86,104.2 +Duhaldea rubricaulis,23.9,99.0333 +Eclipta prostrata,39.999589,116.389217 +Emilia scabra,25.39996,112.948819 +Emilia sonchifolia,24.983333,112.833333 +Epaltes australis,18.252625,109.511923 +Erechtites valerianifolius,22.84,110.62 +Erigeron acris,29.78,118.18 +Erigeron acris subsp. politus,42.33,127.28 +Erigeron annuus,30.27,120.17 +Erigeron bonariensis,25.17,110.35 +Erigeron breviscapus,27.44948,99.822464 +Erigeron canadensis,23.67,113.42 +Erigeron himalajensis,28.66,97.46 +Erigeron kiukiangensis,35.86,104.2 +Erigeron kunshanensis,35.86,104.2 +Erigeron lanuginosus,28.66,97.46 +Erigeron leucoglossus,23.67,113.42 +Erigeron multifolius,35.86,104.2 +Erigeron multiradiatus,28.66,97.46 +Erigeron patentisquama,29.0728,99.6756 +Erigeron porphyrolepis,29.85,95.76 +Erigeron sublyratus,23.67,113.42 +Erigeron sumatrensis,26.651564,106.587683 +Erigeron trisulcus,23.67,113.42 +Eschenbachia japonica,24.696301,98.813698 +Eschenbachia leucantha,35.86,104.2 +Ethulia conyzoides,22.02,100.8 +Eupatorium cannabinum,30.27,120.17 +Eupatorium chinense,41.754,125.04 +Eupatorium heterophyllum,35.86,104.2 +Gaillardia pulchella,32.05,118.79 +Galinsoga parviflora,25.03,113.13 +Galinsoga quadriradiata,29.61,115.99 +Gamochaeta pensylvanica,31.28,114.62 +Gamochaeta purpurea,19.73,110 +Glossocardia bidens,23.98,117.33 +Gnaphalium stewartii,46.52,89.47 +Gnaphalium supinum,46.75,82.98 +Gnomophalium pulvinatum,29.32,95.33 +Grangea maderaspatana,21.53,109.32 +Gynura bicolor,30.003126,117.983315 +Gynura cusimbua,35.86,104.2 +Gynura nepalensis,23.763342,98.82524 +Gynura procumbens,24.175587,110.235565 +Gynura pseudochina,18.249731,109.507052 +Helianthus annuus,23.490446,111.295924 +Helianthus tuberosus,32.03,118.46 +Hemisteptia lyrata,25.275758,110.289688 +Hieracium umbellatum,29.85,95.76 +Himalaiella abnormis,30.17,81.33 +Himalaiella auriculata,27.91667,87.26667 +Himalaiella deltoidea,29.6033,102.073 +Himalaiella nivea,27.7526,98.3475 +Himalaiella yakla,28,91.95 +Hippolytia delavayi,27.098332,100.175 +Hippolytia glomerata,29.040508,90.920913 +Hippolytia gossypina,28.36,87.76 +Hippolytia kennedyi,29.14,92.59 +Hippolytia senecionis,30.29,81.17 +Hippolytia syncalathiformis,29.42,90.16 +Hippolytia tomentosa,33.0606,97.1428 +Hypochaeris glabra,40.15,118.32 +Hypochaeris radicata,40.15,118.32 +Indocypraea montana,27.223247,113.897844 +Inula helenium,36.85,114.5 +Inula hookeri,35.86,104.2 +Inula kalapani,31.1,121.3667 +Inula obtusifolia,31.1,121.3667 +Inula racemosa,33.22,107.54 +Ixeridium aculeolatum,25.045277,104.990555 +Ixeridium gracile,25.012526,102.700013 +Ixeris chinensis,26.466667,111.316667 +Ixeris chinensis subsp. versicolor,42.51,124.409 +Ixeris polycephala,28.15,90.95 +Jacobaea ambracea,36.51998,103.89177 +Jacobaea analoga,28.1044,85.9961 +Jacobaea echaeta,28.85,85.29 +Jacobaea nudicaulis,29.16,107.1 +Jacobaea raphanifolia,27.82308,99.706013 +Jacobaea tibetica,29.00333,89.61833 +Khasianthus subsessilis,24.53,106.99 +Klasea centauroides subsp. strangulata,36.07,103.75 +Koelpinia linearis,31.47,79.8 +Lactuca dissecta,30.1023,95.1115 +Lactuca dolichophylla,28.48611,98.911543 +Lactuca indica,23.98,117.33 +Lactuca serriola,37.07,115.67 +Lactuca tatarica,47.617,87.917 +Laggera alata,24.47,118.08 +Laggera crispata,21.728834,101.585258 +Launaea acaulis,27.37,102.53 +Leibnitzia anandria,40.555482,115.886736 +Leibnitzia nepalensis,29.7014,92.2153 +Leibnitzia pusilla,40.555482,115.886736 +Leibnitzia ruficoma,28.48611,98.911543 +Leontopodium andersonii,24.68123,105.334672 +Leontopodium brachyactis,29.65,91.12 +Leontopodium calocephalum,28.5858,99.8372 +Leontopodium dedekensii,35.86,104.2 +Leontopodium forrestianum,35.86,104.2 +Leontopodium haastioides,29.64,91.01 +Leontopodium haplophylloides,34.15,102.57 +Leontopodium himalayanum,28.497222,98.956389 +Leontopodium jacotianum,27.824167,89.269165 +Leontopodium japonicum,31.46,110.22333 +Leontopodium junpeianum,39.85306,114.98611 +Leontopodium lingianum,29,93.98333 +Leontopodium monocephalum,28.08,86.83 +Leontopodium muscoides,28.66,97.46 +Leontopodium nanum,34.5808,99.4508 +Leontopodium ochroleucum,35.97,77.05 +Leontopodium pusillum,38.073254,104.69114 +Leontopodium sinense,35.86,104.2 +Leontopodium souliei,35.86,104.2 +Leontopodium stracheyi,35.86,104.2 +Leontopodium suffruticosum,31.5,98.22 +Ligularia amplexicaulis,27.778126,99.592171 +Ligularia atkinsonii,28.85,85.29 +Ligularia chimiliensis,29.63,94.36 +Ligularia cremanthodioides,27.82308,99.706013 +Ligularia cuneata,27.778126,99.592171 +Ligularia cymbulifera,28.6189,99.8214 +Ligularia dictyoneura,29.1419,99.6497 +Ligularia discoidea,29.63,94.36 +Ligularia dux,29.32,95.33 +Ligularia dux var. minima,29.32,95.33 +Ligularia fischeri,45.354,129.542 +Ligularia hookeri,30.1469,101.86 +Ligularia japonica,31.828688,117.584604 +Ligularia lagotis,28.401184,99.45137 +Ligularia lamarum,30.0153,101.859 +Ligularia lancifera,29.47,90.72 +Ligularia lapathifolia,27.4,102.17 +Ligularia latiligulata,27.778126,99.592171 +Ligularia lhunzensis,27.778126,99.592171 +Ligularia liatroides,32.7464,97.3472 +Ligularia melanocephala,27.696857,103.248771 +Ligularia mortonii,27.778126,99.592171 +Ligularia myriocephala,30.0067,93.0017 +Ligularia nelumbifolia,32.637983,103.59895 +Ligularia nyingchiensis,29.63,94.36 +Ligularia petiolaris,31.712092,88.118532 +Ligularia phaenicochaeta,27.778126,99.592171 +Ligularia pleurocaulis,30.9681,98.9686 +Ligularia przewalskii,31.9297,102.657 +Ligularia pseudolamarum,27.778126,99.592171 +Ligularia pterodonta,35.86,104.2 +Ligularia pubifolia,29.85,95.76 +Ligularia purdomii,31.4972,99.9925 +Ligularia retusa,35.86,104.2 +Ligularia rumicifolia,29.1419,99.6497 +Ligularia sagitta,36.92,101.32 +Ligularia secunda,27.778126,99.592171 +Ligularia stenoglossa,25.584234,100.222124 +Ligularia tangutorum,34.3453,100.255 +Ligularia tenuicaulis,27.740736,98.66582 +Ligularia tongkyukensis,29.58,94.95 +Ligularia tongolensis,30.055305,101.96483 +Ligularia tsangchanensis,35.86,104.2 +Ligularia virgaurea,33.1094,97.4483 +Ligularia virgaurea var. pilosa,31.0778,96.9478 +Lihengia amoena,28.24,98.4 +Lihengia gombalana,29.32,95.33 +Lipschitziella ceratocarpa,22.67,103.92 +Melanoseris atropurpurea,27.55194,100.6425 +Melanoseris beesiana,28.5733,99.8117 +Melanoseris bracteata,27.914639,91.817472 +Melanoseris cyanea,28.0425,85.9856 +Melanoseris graciliflora,23.519195,110.462487 +Melanoseris jilongensis,28.727298,99.827515 +Melanoseris macrantha,27.48,88.9 +Melanoseris macrocephala,29.14,92.59 +Melanoseris macrorhiza,28.918611,93.391389 +Melanoseris pectiniformis,28.48611,98.911543 +Melanoseris qinghaica,28.5,98.8667 +Melanoseris souliei,28.627728,98.629233 +Melanoseris tenuis,27.48,88.9 +Melanoseris violifolia,29.32,95.33 +Melanoseris yunnanensis,30.91,102.54 +Mikania micrantha,22.8,113.52 +Monosis talaumifolia,28.66,97.46 +Monosis volkameriifolia,25.294636,98.807945 +Myriactis delavayi,27.928607,101.279419 +Myriactis nepalensis,25.60168,110.585686 +Myriactis wallichii,35.86,104.2 +Myriactis wightii,24.905949,108.842336 +Nabalus tatarinowii,43.76,128.456 +Nannoglottis gynura,36.92,101.32 +Nannoglottis hookeri,30.6,93.47 +Nannoglottis macrocarpa,30.1192,92.1594 +Neobrachyactis anomala,28.1194,85.9936 +Neobrachyactis roylei,44.32,85.61 +Neopallasia pectinata,29.65,91.1 +Notoseris khasiana,22.983563,103.687613 +Notoseris scandens,27.726299,98.364998 +Notoseris yakoensis,35.86,104.2 +Oreoseris maxima,28.17,85.98 +Oreoseris nivea,28.3,90.85 +Paraprenanthes sororia,24.175587,110.235565 +Parasenecio chola,28.85,85.29 +Parasenecio cyclotus,25.827253,100.575146 +Parasenecio latipes,28.64861,98.92888 +Parasenecio palmatisectus,30.1469,101.86 +Parasenecio quinquelobus,28.090278,98.770278 +Parasenecio quinquelobus var. sinuatus,28.48611,98.911543 +Parasenecio taliensis,25.584234,100.222124 +Pertya berberidoides,28.48611,98.911543 +Pertya markamensis,35.157691,108.861296 +Pertya monocephala,28.04,98.57916 +Pertya phylicoides,28.932073,99.79929 +Petasites japonicus,26.43,110.85 +Petasites tricholobus,26.876096,100.229945 +Petasites versipilus,27.928607,101.279419 +Picris divaricata,37.35,111.17 +Picris hieracioides,30.368117,102.81464 +Picris japonica,32.080278,97.02 +Picris junnanensis,0,0 +Piloselloides hirsuta,27.2,109.83 +Pluchea linearifolia,23.4,113.15 +Pseudognaphalium adnatum,25.75,100.08 +Pseudognaphalium affine,23.903807,105.902288 +Pseudognaphalium chrysocephalum,31.5978,100.367 +Pseudognaphalium flavescens,29.65,91.12 +Pseudognaphalium hypoleucum,25.2161,98.4961 +Pulicaria insignis,32.446944,98.009167 +Rudbeckia hirta,30.27,120.17 +Saussurea acutisquama,31.91,94.05 +Saussurea andersonii,31.49,98.21 +Saussurea andryaloides,35.83333,94.35 +Saussurea apus,35.254167,98.982778 +Saussurea arenaria,34.3108,99.1814 +Saussurea aster,35.501389,99.51 +Saussurea austrotibetica,29.48,94.68 +Saussurea bella,35.4228,99.3703 +Saussurea bhutanensis,29.976,101.886 +Saussurea bhutkesh,33.594753,103.19809 +Saussurea bodinieri,28.5733,99.8117 +Saussurea bracteata,30.58,82.43 +Saussurea brunneopilosa,35.2617,98.9825 +Saussurea candolleana,25.67,100.08 +Saussurea ceterach,28.48611,98.911543 +Saussurea cochleariifolia,27.48,88.9 +Saussurea colpodes,28.17,85.98 +Saussurea columnaris,28.3,99.16667 +Saussurea conaensis,28,91.95 +Saussurea coriacea,31.4972,99.9925 +Saussurea delavayi,25.660201,100.118305 +Saussurea depsangensis,32.5739,97.2106 +Saussurea donkiah,33.594753,103.19809 +Saussurea durgae,28.8164,99.2158 +Saussurea dzeurensis,34.5761,99.895 +Saussurea epilobioides,34.658333,100.626944 +Saussurea eriostemon,28.85,85.29 +Saussurea erubescens,30.055305,101.96483 +Saussurea filicifolia,25.116213,99.162598 +Saussurea fuscipappa,28.48611,98.911543 +Saussurea georgei,32.6608,98.0481 +Saussurea glacialis,31.099306,81.348536 +Saussurea glandulosissima,29.7,96.73333 +Saussurea globosa,27.82308,99.706013 +Saussurea gnaphalodes,34.6333,99.7333 +Saussurea gongriensis,33.594753,103.19809 +Saussurea gossipiphora,28.64944,98.60944 +Saussurea graminea,28.596944,99.867778 +Saussurea graminea var. ortholepis,32.71667,102.68333 +Saussurea graminifolia,30.13,81.33 +Saussurea grandiceps,29.33,85.23 +Saussurea gyacaensis,29.15,92.58 +Saussurea gymnocephala,31.41,95.59 +Saussurea hengduanshanensis,27.5833,99.8 +Saussurea hieracioides,27.82308,99.706013 +Saussurea hookeri,30.3036,99.5575 +Saussurea hylophila,26.901731,98.869207 +Saussurea inversa,29.77,84.03 +Saussurea irregularis,28.17,85.98 +Saussurea jindongensis,33.594753,103.19809 +Saussurea kansuensis,39.71222,75.03639 +Saussurea katochaete,31.16667,96.63333 +Saussurea kingii,33.22,107.54 +Saussurea lanata,29.14,92.59 +Saussurea laneana,29.85,95.76 +Saussurea langpoensis,33.594753,103.19809 +Saussurea laniceps,31.80612,98.580912 +Saussurea leontodontoides,30.8503,101.277 +Saussurea leptolepis,32.583333,103.833333 +Saussurea leucoma,27.42,101.5 +Saussurea lhozhagensis,33.594753,103.19809 +Saussurea lhunzensis,33.594753,103.19809 +Saussurea lhunzhubensis,31.2869,97.9942 +Saussurea linearifolia,33.594753,103.19809 +Saussurea lingulata,35.86,104.2 +Saussurea longifolia,30.1192,92.1594 +Saussurea loriformis,27.82,89.15 +Saussurea luae,31.03611,101.21694 +Saussurea medusa,28.51833,98.94777 +Saussurea megacephala,29.4,110.15 +Saussurea micradenia,35.86,104.2 +Saussurea minuta,33.3769,100.29 +Saussurea namikawae,33.594753,103.19809 +Saussurea nana,33.594753,103.19809 +Saussurea nigrescens,31.72,100.719 +Saussurea nimborum,29.14,92.59 +Saussurea nishiokae,33.594753,103.19809 +Saussurea nyalamensis,28.85,85.29 +Saussurea nyingchiensis,30.0194,95.0014 +Saussurea ochrochlaena,28.497222,98.956389 +Saussurea ovata,42.6,85.5 +Saussurea ovatifolia,32.3,84.06 +Saussurea pachyneura,35.86,104.2 +Saussurea pagriensis,33.594753,103.19809 +Saussurea paleacea,31.18,97.15 +Saussurea parviflora,46.186861,129.614417 +Saussurea paxiana,32.8831,96.685 +Saussurea phaeantha,36.92,101.32 +Saussurea picridifolia,35.86,104.2 +Saussurea pilinophylla,30,99 +Saussurea polycolea,28.484444,98.948889 +Saussurea polypodioides,27.177166,99.28717 +Saussurea polystichoides,29.05,93.98 +Saussurea populifolia,31.824099,108.629497 +Saussurea przewalskii,28.14722,99.90389 +Saussurea pseudoeriostemon,33.594753,103.19809 +Saussurea pseudoleucoma,33.594753,103.19809 +Saussurea pseudolingulata,33.594753,103.19809 +Saussurea pseudosimpsoniana,33.594753,103.19809 +Saussurea pseudotridactyla,33.594753,103.19809 +Saussurea pseudoyunnanensis,33.594753,103.19809 +Saussurea pubescens,29.68,89.09 +Saussurea pubifolia,29.65,91.12 +Saussurea pubifolia var. lhasaensis,29.65,91.12 +Saussurea purpurascens,29.3342,101.499 +Saussurea qamdoensis,31.122778,97.023333 +Saussurea quercifolia,30.055305,101.96483 +Saussurea retroserrata,28.66,97.46 +Saussurea rolwalingensis,33.594753,103.19809 +Saussurea romuleifolia,31.5978,100.367 +Saussurea scabrida,35.86,104.2 +Saussurea schlagintweitii,28.172856,86.83981 +Saussurea schlagintweitii subsp. major,28.91,89.6 +Saussurea semiamplexicaulis,28.5,98.8667 +Saussurea semifasciata,27.740736,98.66582 +Saussurea semilyrata,35.86,104.2 +Saussurea septentrionalis,31.93333,98.93333 +Saussurea sericea,30.28,90.62 +Saussurea sikkimensis,35.86,104.2 +Saussurea simpsoniana,31.04713,81.378863 +Saussurea solaris,33.594753,103.19809 +Saussurea stella,33.594753,103.19809 +Saussurea stoliczkae,31.8331,96.4883 +Saussurea subulata,34.9933,98.5047 +Saussurea subulisquama,28.48611,98.911543 +Saussurea sugongii,33.594753,103.19809 +Saussurea superba,27.82308,99.706013 +Saussurea sylvatica,31.834167,96.543333 +Saussurea tangutica,34.8228,99.0428 +Saussurea taraxacifolia,29.63,94.36 +Saussurea tatsienensis,28.576389,99.85 +Saussurea thomsonii,29.77,84.03 +Saussurea thoroldii,36.5875,100.491 +Saussurea tibetica,37.266667,94.45 +Saussurea topkegolensis,33.594753,103.19809 +Saussurea tridactyla,32.268129,100.332738 +Saussurea tridactyla var. maiduoganla,28.85,85.29 +Saussurea tsoongii,32.083333,97.016667 +Saussurea uniflora,27.48,88.9 +Saussurea wardii,28.14722,99.90389 +Saussurea wellbyi,34.5808,99.4508 +Saussurea wernerioides,28.48611,98.911543 +Saussurea wettsteiniana,25,102 +Saussurea woodiana,32.637983,103.59895 +Saussurea yunnanensis,25,102 +Saussurea zayuensis,26.0189,98.6256 +Saussurea zogangensis,33.594753,103.19809 +Senecio albopurpureus,29.7372,96.065 +Senecio atrofuscus,29.58,94.63 +Senecio biligulatus,28.85,85.29 +Senecio desfontainei,32.49,80.09 +Senecio diversipinnus,35.14,100.61 +Senecio drukensis,29.85,95.76 +Senecio dubitabilis,46.06,122.6 +Senecio graciliflorus,35.86,104.2 +Senecio kongboensis,29.85,95.76 +Senecio krascheninnikovii,30.29,81.17 +Senecio lhasaensis,29.73,90.98 +Senecio lingianus,29.32,95.33 +Senecio linifolius,44.97,81.03 +Senecio mishmi,46.06,122.6 +Senecio nigrocinctus,29.32,95.33 +Senecio nodiflorus,30.05,96.91 +Senecio racemosus,28.85,85.29 +Senecio ramosus,30.29,81.17 +Senecio royleanus,28.85,85.29 +Senecio saussureoides,32.0506,97.24 +Senecio scandens,27.99,108.4 +Senecio scandens var. incisus,31.82,108.62 +Senecio thianschanicus,29.7547,91.9375 +Senecio vulgaris,25.31805,101.03222 +Senecio wightii,35.86,104.2 +Shangwua denticulata var. hypoleuca,35.86,104.2 +Sigesbeckia glabrescens,29.61,115.99 +Sigesbeckia orientalis,33.97,107.24 +Sigesbeckia pubescens,42.62528,123.72528 +Sinosenecio euosmus,30.1469,101.86 +Sinosenecio oldhamianus,35.86,104.2 +Solidago virgaurea,23.226775,108.229301 +Sonchus asper,25.79,114.53 +Sonchus brachyotus,37.55,112.15 +Sonchus oleraceus,22.78,113.59 +Sonchus wightianus,25.7,100.117 +Soroseris depressa,30.66667,93.66667 +Soroseris erysimoides,30.055305,101.96483 +Soroseris glomerata,28.889481,90.227172 +Soroseris hookeriana,30.860464,102.681981 +Soroseris pumila,30.055305,101.96483 +Soroseris teres,27.48,88.9 +Soroseris umbrella,27.669958,99.90245 +Sphaeranthus indicus,21.48,101.57 +Syncalathium chrysocephalum,31.1094,96.8744 +Syncalathium disciforme,33.451683,99.44748 +Syncalathium kawaguchii,31.1661,97.3006 +Syncalathium porphyreum,33.53,107.98 +Syncalathium roseum,33.451683,99.44748 +Synotis acuminata,38.72771,105.948911 +Synotis ainsliaeifolia,38.72771,105.948911 +Synotis alata,35.86,104.2 +Synotis auriculata,38.72771,105.948911 +Synotis borii,29.65,91.12 +Synotis brevipappa,38.72771,105.948911 +Synotis cappa,35.86,104.2 +Synotis chenopodiifolia,28.53,85.27 +Synotis erythropappa,35.86,104.2 +Synotis kunthiana,38.72771,105.948911 +Synotis nagensium,35.86,104.2 +Synotis nyalamensis,38.72771,105.948911 +Synotis otophylla,38.72771,105.948911 +Synotis penninervis,28.85,85.29 +Synotis pentantha,38.72771,105.948911 +Synotis rufinervis,35.86,104.2 +Synotis saluenensis,35.86,104.2 +Synotis solidaginea,30.0067,93.0017 +Synotis tetrantha,29.037008,100.298406 +Synotis triligulata,35.86,104.2 +Synotis wallichii,27.48,88.9 +Synotis yui,35.86,104.2 +Tagetes erecta,26.534082,100.42293 +Tagetes minuta,36.379944,120.660583 +Tanacetum atkinsonii,27.48,88.9 +Tanacetum tatsienense,28.484444,98.948889 +Tanacetum tatsienense var. tanacetopsis,35.86,104.2 +Taraxacum albiflos,39.06,113.61 +Taraxacum apargiiforme,30.06,102.75 +Taraxacum austrotibetanum,39.06,113.61 +Taraxacum badiocinnamomeum,39.06,113.61 +Taraxacum brevirostre,24.580446,99.92854 +Taraxacum calanthodium,30.055305,101.96483 +Taraxacum consanguineum,24.818186,103.323273 +Taraxacum dealbatum,30.05,101.96 +Taraxacum dilutissimum,39.06,113.61 +Taraxacum dissectum,37.88,77.41 +Taraxacum eriopodum,30.29,81.17 +Taraxacum forrestii,30.350228,95.474417 +Taraxacum glaucophyllum,28.932073,99.79929 +Taraxacum grypodon,29.85,95.76 +Taraxacum lanigerum,27.177166,99.28717 +Taraxacum ludlowii,31.712092,88.118532 +Taraxacum maurocarpum,28.5733,99.8117 +Taraxacum mitalii,39.06,113.61 +Taraxacum mongolicum,26.245022,105.938619 +Taraxacum officinale,28.3,99.17 +Taraxacum parvulum,28.48611,98.911543 +Taraxacum patiens,29.21667,88.93333 +Taraxacum scariosum,34.06,114.84 +Taraxacum sherriffii,31.712092,88.118532 +Taraxacum sikkimense,33.205,97.4281 +Taraxacum sinicum,39.333333,106.983333 +Taraxacum staticifolium,36.519977,103.891767 +Taraxacum stenoceras,36.92697,101.685623 +Taraxacum subcontristans,39.06,113.61 +Taraxacum suberiopodum,27.928607,101.279419 +Taraxacum tibetanum,29.7008,91.4303 +Taraxacum vendibile,28.8,97.604167 +Taraxacum wallichii,39.5,76 +Tephroseris rufa,34.593056,103.508333 +Tephroseris rufa var. chaetocarpa,36.4,99.95 +Thespis divaricata,22.0333,100.25 +Tithonia diversifolia,21.68,101.31 +Tithonia rotundifolia,22.79,115.43 +Tragopogon dubius,40.4,122.35 +Tragopogon gracilis,31.47,79.8 +Tricholepis furcata,28,91.95 +Tridax procumbens,22.97,115.36 +Xanthium strumarium,37.46,121.44 +Xanthopappus subacaulis,28.48611,98.911543 +Youngia atripappa,24.983333,112.833333 +Youngia cristata,28.661276,97.466916 +Youngia erythrocarpa,30.27,120.17 +Youngia gracilipes,28.91,89.6 +Youngia japonica,24.983333,112.833333 +Youngia lanata,26.876096,100.229945 +Youngia paleacea,31.82,108.62 +Youngia prattii,29.5864,102.028 +Youngia racemifera,29.05,93.93 +Youngia sericea,28.66,97.46 +Youngia silhetensis,31.370137,109.629918 +Youngia simulatrix,35.2617,98.9825 +Youngia yilingii,27.82308,99.706013 +Zinnia elegans,39.879848,114.630747 +Adoxa moschatellina,46.963467,133.817567 +Adoxa xizangensis,29.0447,99.7114 +Sambucus adnata,27.930639,99.61512 +Sambucus javanica,28.4,98.779722 +Viburnum atrocyaneum,35.86,104.2 +Viburnum betulifolium,35.86,104.2 +Viburnum colebrookeanum,30,94.97 +Viburnum congestum,29.85,100.36667 +Viburnum corylifolium,29.437832,110.71007 +Viburnum cotinifolium,28.85,85.29 +Viburnum cylindricum,35.86,104.2 +Viburnum erubescens,35.86,104.2 +Viburnum foetidum,25.91344,110.45113 +Viburnum foetidum var. rectangulatum,35.86,104.2 +Viburnum glomeratum,26.876096,100.229945 +Viburnum grandiflorum,29.9,94.87 +Viburnum kansuense,35.86,104.2 +Viburnum mullaha,27.8669,98.3636 +Viburnum mullaha var. glabrescens,27.48,88.9 +Viburnum nervosum,27.7294,98.4092 +Viburnum oliganthum,35.86,104.2 +Viburnum sempervirens,23.019965,113.751572 +Viburnum sympodiale,28.696096,109.355031 +Viburnum tengyuehense,35.86,104.2 +Abelia forrestii,26.850444,100.179889 +Acanthocalyx alba,33,97.1 +Acanthocalyx nepalensis,27.129162,100.23555 +Acanthocalyx nepalensis subsp. delavayi,27.448256,99.819992 +Bassecoia bretschneideri,30.059603,102.167381 +Bassecoia hookeri,29.739228,99.621072 +Dipelta yunnanensis,27.129299,100.235176 +Dipsacus asper,31.82,108.62 +Dipsacus atratus,28,91.95 +Dipsacus chinensis,28.66,97.46 +Dipsacus inermis,30.05,101.96 +Leycesteria crocothyrsos,28.48611,98.911543 +Leycesteria dibangvalliensis,30.666667,101.733333 +Leycesteria formosa,30.666667,101.733333 +Leycesteria glaucophylla,29.32,95.33 +Leycesteria gracilis,27.7428,98.6056 +Lonicera acuminata,35.86,104.2 +Lonicera angustifolia,28.85,85.29 +Lonicera angustifolia var. myrtillus,35.86,104.2 +Lonicera calcarata,25.13,105.39 +Lonicera chrysantha,43.7,127.139 +Lonicera chrysantha var. koehneana,26.876096,100.229945 +Lonicera cyanocarpa,28.66,97.46 +Lonicera ferdinandi,39.03,113.03 +Lonicera glabrata var. hirticaulis,35.86,104.2 +Lonicera hispida,30.055305,101.96483 +Lonicera hypoleuca,28.45,119.91 +Lonicera ligustrina,28.230591,103.636769 +Lonicera litangensis,29.1239,99.9967 +Lonicera maackii,34.36,110.53 +Lonicera macrantha,18.252625,109.511923 +Lonicera microphylla,41.75,79.5 +Lonicera nervosa,36.07,103.75 +Lonicera nigra,42.78,128.51 +Lonicera oreodoxa,32.67,103.83 +Lonicera rupicola,32.675,97.2944 +Lonicera rupicola var. syringantha,34.7147,100.712 +Lonicera scabrida,28.66,97.46 +Lonicera spinosa,33.38,79.73 +Lonicera tangutica,35.86,104.2 +Lonicera tomentella,35.86,104.2 +Lonicera tomentella var. tsarongensis,35.86,104.2 +Lonicera trichosantha,30.055305,101.96483 +Lonicera webbiana,31.7617,100.757 +Morina chinensis,30.055305,101.96483 +Morina chlorantha,29.000343,101.507299 +Morina coulteriana,29.15,92.58 +Morina kokonorica,29.7014,92.2153 +Morina longifolia,29.484,96.7807 +Morina ludlowii,28,91.95 +Morina polyphylla,29.484,96.7807 +Nardostachys jatamansi,27.624146,99.642616 +Patrinia speciosa,29.9,94.87 +Triosteum himalayanum,27.448076,99.822868 +Triplostegia glandulifera,35.86,104.2 +Triplostegia grandiflora,29.03,93.93 +Valeriana barbulata,35.86,104.2 +Valeriana daphniflora,27.4,102.17 +Valeriana hardwickii,27.745,98.66805 +Valeriana hengduanensis,27.928607,101.279419 +Valeriana hirticalyx,32.2,96.48 +Valeriana jatamansi,35.86,104.2 +Valeriana minutiflora,28.66,97.46 +Valeriana officinalis,31.54,110.45 +Valeriana sichuanica,27.92,101.27 +Valeriana stenoptera,29.037008,100.298406 +Valeriana tangutica,44.326389,85.619416 +Zabelia dielsii,30.1012,95.1207 +Zabelia triflora,28.66667,98.25 +Torricellia angulata,29,109.85 +Torricellia tiliifolia,29.49,103.39 +Pittosporum brevicalyx,29.85,95.76 +Pittosporum heterophyllum,29.914155,102.234618 +Pittosporum napaulense,35.86,104.2 +Pittosporum podocarpum,24.58669,98.689166 +Aralia apioides,35.86,104.2 +Aralia armata,26.901731,98.869207 +Aralia atropurpurea,26.876096,100.229945 +Aralia chinensis,19.200505,109.74159 +Aralia fargesii,25.5167,100.2 +Aralia foliolosa,22.697654,100.860736 +Aralia franchetii,30.511499,103.481974 +Aralia gigantea,24.580446,99.92854 +Aralia kingdon-wardii,27.729893,98.346481 +Aralia leschenaultii,28.53,85.22 +Aralia parasitica,28.48611,98.911543 +Aralia tibetana,30.055305,101.96483 +Brassaiopsis aculeata,31.712092,88.118532 +Brassaiopsis angustifolia,29.32,95.33 +Brassaiopsis ciliata,29.496119,103.398589 +Brassaiopsis fatsioides,24.7905,97.6755 +Brassaiopsis glomerulata,35.86,104.2 +Brassaiopsis griffithii,27.658056,98.711667 +Brassaiopsis hainla,24.9583,98.7344 +Brassaiopsis hispida,24.392902,106.633387 +Brassaiopsis magnifica,24.7905,97.6755 +Brassaiopsis shweliensis,29.32,95.33 +Brassaiopsis simplicifolia,29.32,95.33 +Brassaiopsis tibetana,24.7905,97.6755 +Dendropanax burmanicus,35.86,104.2 +Eleutherococcus cissifolius,26.9,98.85 +Eleutherococcus giraldii,31.141,100.908 +Eleutherococcus lasiogyne,30.1351,95.0181 +Eleutherococcus leucorrhizus,34.5,105.833333 +Eleutherococcus leucorrhizus var. fulvescens,35.86,104.2 +Eleutherococcus trifoliatus,29.9894,94.8653 +Eleutherococcus verticillatus,29.63,94.36 +Eleutherococcus wilsonii,32.0803,97.02 +Gamblea ciliata,29.349,110.441 +Gamblea ciliata var. evodiifolia,27.82308,99.706013 +Hedera nepalensis,26,98.65 +Hedera nepalensis var. sinensis,25.9556,98.7383 +Heptapleurum calyptratum,35.86,104.2 +Heptapleurum ellipticum,28.66,97.46 +Heptapleurum glabrescens,35.86,104.2 +Heptapleurum heptaphyllum,22.92781,112.566589 +Heptapleurum hoi,35.86,104.2 +Heptapleurum hypoleucum,23.258134,105.822072 +Heptapleurum khasianum,25.303923,98.774111 +Heptapleurum minutistellatum,35.86,104.2 +Heptapleurum rhododendrifolium,35.86,104.2 +Heptapleurum shweliense,35.86,104.2 +Heptapleurum wallichianum,35.86,104.2 +Heptapleurum wardii,30.0087,94.9578 +Heptapleurum zhuanum,29.32,95.33 +Heteropanax fragrans,25.79,114.53 +Hydrocotyle himalaica,35.86,104.2 +Hydrocotyle hookeri,29.32,95.33 +Hydrocotyle javanica,27.75,118.03 +Hydrocotyle nepalensis,24.8308,98.7678 +Hydrocotyle salwinica,29.32,95.33 +Hydrocotyle sibthorpioides,25.13,115.39 +Hydrocotyle wilfordii,25.45555,99.35583 +Kalopanax septemlobus,33.15355,106.67304 +Macropanax dispermus,21.934011,101.260734 +Macropanax undulatus,27.7431,98.3469 +Merrilliopanax alpinus,29.63,94.36 +Merrilliopanax listeri,35.86,104.2 +Panax bipinnatifidus,28.1072,85.9986 +Panax japonicus,28.385,98.78583 +Panax pseudoginseng,25.135833,102.744444 +Pentapanax parasiticus,29.32,95.33 +Trevesia palmata,25.25,106.17 +Acronema alpinum,29.15,92.58 +Acronema brevipedicellatum,28.932073,99.79929 +Acronema chienii,32.265516,100.978754 +Acronema commutatum,35.86,104.2 +Acronema gracile,28.85,85.29 +Acronema graminifolium,32.075,97.0386 +Acronema handelii,27.82308,99.706013 +Acronema hookeri,32.15,97.045 +Acronema johrianum,31.49,98.21 +Acronema muscicola,35.86,104.2 +Acronema nervosum,32.2558,96.3258 +Acronema paniculatum,29.88,93.24 +Acronema schneideri,24.25111,101.865 +Acronema tenerum,29.85,95.76 +Acronema xizangense,29.215697,94.213461 +Acronema yadongense,27.48,88.9 +Angelica apaensis,26.088547,103.176727 +Angelica paeoniifolia,29.04,93.07 +Anthriscus nemorosa,32.075,97.038611 +Anthriscus sylvestris,25.77,100.02 +Apium graveolens,30.27,120.17 +Arcuatopterus sikkimensis,30.8503,101.277 +Arcuatopterus thalictrioideus,29.914155,102.234618 +Bupleurum alatum,28.17,85.98 +Bupleurum candollei,28.66,97.46 +Bupleurum commelynoideum,27.928607,101.279419 +Bupleurum commelynoideum var. flaviflorum,30.05,96.91 +Bupleurum dalhousieanum,28.66,97.46 +Bupleurum gracillimum,28.37,90.8 +Bupleurum hamiltonii,25.012526,102.700013 +Bupleurum longicaule,25.8333,99.9833 +Bupleurum longicaule var. amplexicaule,35.86,104.2 +Bupleurum longicaule var. giraldii,33.52,107.99 +Bupleurum malconense,33.06,107.03 +Bupleurum marginatum,31.82,108.62 +Bupleurum marginatum var. stenophyllum,28.66,97.46 +Bupleurum petiolulatum,28.85,85.29 +Bupleurum petiolulatum var. tenerum,28.85,85.29 +Bupleurum rockii,28.53388,98.87666 +Bupleurum shanianum,30.87,102.68 +Bupleurum smithii,27.03,100.23 +Bupleurum triradiatum,28.65694,98.93333 +Bupleurum yunnanense,28.93,92.22 +Carum buriaticum,33,97.1 +Carum carvi,32.927222,97.266667 +Centella asiatica,35.86,104.2 +Chaerophyllopsis huai,28.66,97.46 +Chaerophyllum villosum,35.86,104.2 +Chamaesium mallaeanum,28.55,85.3 +Chamaesium novemjugum,29.58333,94.71667 +Chamaesium paradoxum,29.85,102.25 +Chamaesium spatuliferum var. minor,29.83,91.73 +Chamaesium thalictrifolium,32.75,103.83333 +Chamaesium viridiflorum,30.41667,101.83333 +Conioselinum acuminatum,35.86,104.2 +Coriandrum sativum,32.059064,119.418318 +Cortia depressa,29.68,89.09 +Cortiella caespitosa,32.05,118.79 +Cortiella cortioides,27.48,88.9 +Cortiella hookeri,29.22,91.77 +Cortiella yatungensis,35.86,104.2 +Cyclorhiza peucedanifolia,26.876096,100.229945 +Cyclorhiza waltonii,26.11116,99.951049 +Daucus carota,35.97,110.84 +Dickinsia hydrocotyloides,35.86,104.2 +Eriocycla nuda,28.65,87.12 +Eriocycla nuda var. purpurascens,28.65,87.12 +Eryngium foetidum,23.22,108.22 +Ferula jaeschkeana,31.48,79.8 +Foeniculum vulgare,25.012526,102.700013 +Hansenia forbesii,28.71,99.28 +Hansenia himalayensis,29,93.95 +Hansenia weberbaueriana,31.2422,99.8614 +Harrysmithia heterophylla,36.519977,103.891767 +Heracleum barmanicum,35.86,104.2 +Heracleum candicans,31.712092,88.118532 +Heracleum candicans var. obtusifolium,28.328636,103.132181 +Heracleum canescens,28.85,85.3 +Heracleum forrestii,29.037008,100.298406 +Heracleum franchetii,35.773359,96.04683 +Heracleum kingdonii,27.80083,98.68444 +Heracleum nyalamense,28.17,85.98 +Heracleum scabridum,31.08,103.26 +Heracleum subtomentellum,26.876096,100.229945 +Hymenidium album,28.224664,99.960356 +Hymenidium amabile,28.646838,98.626485 +Hymenidium apiolens,29.7786,94.7247 +Hymenidium astrantioideum,28.383889,99 +Hymenidium chloroleucum,30.1469,101.86 +Hymenidium davidii,35.86,104.2 +Hymenidium decurrens,35.86,104.2 +Hymenidium delavayi,28.224664,99.960356 +Hymenidium dentatum,28.224664,99.960356 +Hymenidium foetens,28.224664,99.960356 +Hymenidium hedinii,31.513425,89.156381 +Hymenidium heracleifolium,29.63,94.36 +Hymenidium heterosciadium,27.82308,99.706013 +Hymenidium hookeri,33.0528,98.0036 +Hymenidium lhasanum,28.224664,99.960356 +Hymenidium lindleyanum,38.290317,75.02075 +Hymenidium macrochlaenum,28.85,85.29 +Hymenidium mieheanum,28.224664,99.960356 +Hymenidium nubigenum,31.41,95.59 +Hymenidium pilosum,27.48,88.9 +Hymenidium pulszkyi,33.3769,100.29 +Hymenidium stellatum,28.66,97.46 +Hymenidium szechenyii,34.59,100.56 +Hymenidium wilsonii,32.983333,103.666667 +Hymenidium wrightianum,28.36,87.76 +Hymenidium yunnanense,28.224664,99.960356 +Hymenolaena candollei,32.5739,97.2106 +Kailashia bouffordii,31.332778,98.128611 +Kailashia xizangensis,31.47,79.8 +Keraymonia cortiformis,28.55,85.3 +Libanotis depressa,32.775621,96.67737 +Ligusticopsis angelicifolia,31.08,103.26 +Ligusticopsis brachyloba,35.86,104.2 +Ligusticopsis daucoides,31.6281,100.2381 +Ligusticopsis involucrata,31.4169,96.6917 +Ligusticopsis nana,28.200949,101.15329 +Ligusticopsis scapiformis,28.48611,98.911543 +Ligusticopsis violacea,28.337315,101.2412 +Ligusticopsis wallichiana,27.82308,99.706013 +Ligusticopsis xizangensis,29.63521,94.408318 +Ligusticum littledalei,30.32,90.58 +Ligusticum mucronatum,32.95,94.37 +Ligusticum nematophyllum,32.637983,103.59895 +Ligusticum oliverianum,35.86,104.2 +Ligusticum pteridophyllum,22.983563,103.687613 +Ligusticum thomsonii,32.95,94.37 +Meeboldia achilleifolia,29.63,94.36 +Meeboldia delavayi,29.1031,99.6319 +Meeboldia linearis,29.1031,99.6319 +Meeboldia microloba,29.666667,94.266667 +Nothosmyrnium japonicum,28.63611,98.66555 +Nothosmyrnium xizangense,29.7547,91.9375 +Nothosmyrnium xizangense var. simpliciorum,29.63,94.36 +Oenanthe hookeri,35.86,104.2 +Oenanthe javanica,28.01666,98.61666 +Oenanthe linearis,35.86,104.2 +Oenanthe thomsonii,35.86,104.2 +Oreocome arguta,29.85,95.76 +Oreocome striata,28.85,85.29 +Oreocomopsis dochenensis,27.82308,99.706013 +Oreocomopsis xizangensis,29.32483,95.326681 +Osmorhiza aristata,31.712092,88.118532 +Osmorhiza aristata var. laxa,28.66,97.46 +Pachypleurum lhasanum,29.99605,100.269814 +Pachypleurum nyalamense,27.2822,100.85195 +Peucedanum lhasense,38.073254,104.69114 +Peucedanum turgeniifolium,32.15,97.045 +Physospermopsis handelii,35.86,104.2 +Physospermopsis kingdon-wardii,35.86,104.2 +Physospermopsis muliensis,27.207777,98.708885 +Physospermopsis nana,29.6114,94.6542 +Physospermopsis obtusiuscula,27.48,88.9 +Physospermopsis rubrinervis,27.71,102.8 +Physospermopsis shaniana,26.088547,103.176727 +Pimpinella acuminata,28.85,85.29 +Pimpinella caudata,32.080556,97.007222 +Pimpinella chungdienensis,29.63,94.36 +Pimpinella diversifolia,36.519977,103.891767 +Pimpinella filipedicellata,31.1,121.3667 +Pimpinella kingdon-wardii,35.86,104.2 +Pimpinella nyingchiensis,30.0194,95.0014 +Pimpinella pimpinellisimulacrum,31.1,121.3667 +Pimpinella purpurea,35.86,104.2 +Pimpinella rhomboidea,23.36561,103.388085 +Pimpinella sikkimensis,35.86,104.2 +Pimpinella smithii,30.952778,102.296667 +Pimpinella tibetanica,35.86,104.2 +Pimpinella wallichiana,28.66,97.46 +Pimpinella wallichii,29.63,94.36 +Pimpinella xizangensis,28.42,92.47 +Pleurospermopsis sikkimensis,31.7061,102.314 +Pleurospermum aromaticum,36.519977,103.891767 +Pleurospermum rupestre,33.38,79.73 +Pternopetalum arunachalense,27.223448,114.194815 +Pternopetalum caespitosum,32.38,109.36 +Pternopetalum cardiocarpum,35.86,104.2 +Pternopetalum davidii,25.7667,100.017 +Pternopetalum delavayi,29.7692,95.6854 +Pternopetalum longicaule,29.9,94.87 +Pternopetalum molle,26.01,98.66 +Pternopetalum senii,27.223448,114.194815 +Pternopetalum subalpinum,35.86,104.2 +Pternopetalum trifoliatum,31.905842,102.206261 +Pternopetalum vulgare,36.519977,103.891767 +Pterocyclus angelicoides,28.85,85.29 +Pterocyclus rotundatus,28.85,85.29 +Pterocyclus tibeticus,29.7786,94.7247 +Pterocyclus wolffianus,28.85,85.29 +Sanicula astrantiifolia,35.86,104.2 +Sanicula elata,43.866,126.6 +Sanicula giraldii,29.58,94.93 +Sanicula orthacantha,29.24,117.86 +Sanicula rugulosa,29.85,95.76 +Sanicula serrata,35.86,104.2 +Schulzia dissecta,28.65,87.12 +Selinum cryptotaenium,25.012526,102.700013 +Semenovia gyirongensis,28.563925,108.503873 +Semenovia malcolmii,35.74523,94.317009 +Semenovia montana,35.74523,94.317009 +Seseli nortonii,28.35,90.9 +Seseli purpureovaginatum,31.93,94.03 +Similisinocarum normanianum,0,0 +Sinocarum coloratum,33.3564,99.5619 +Sinocarum cruciatum,35.86,104.2 +Sinocarum cruciatum var. linearilobum,35.86,104.2 +Sinocarum dolichopodum,27.42,101.5 +Sinocarum filicinum,32.3,84.06 +Sinocarum pauciradiatum,35.86,104.2 +Sinocarum pulchellum,35.86,104.2 +Sinocarum vaginatum,25.584234,100.222124 +Sinocarum wolffianum,28.3,90.85 +Sinolimprichtia alpina,32.2792,96.2731 +Sinolimprichtia alpina var. dissecta,35.86,104.2 +Sium ventricosum,30.47,91.09 +Sphallerocarpus gracilis,44.338,129.484 +Spuriopimpinella arguta,27.813778,98.497772 +Tetrataenium bivittatum,35.86,104.2 +Tetrataenium nepalense,35.86,104.2 +Tetrataenium sublineare,24.538798,106.991322 +Tetrataenium wallichii,35.86,104.2 +Tetrataenium yunnanense,29.32,95.33 +Tongoloa dunnii,31.042327,110.340757 +Tongoloa gracilis,32.2808,96.4631 +Tongoloa loloensis,28.93,99.79 +Tongoloa pauciradiata,30.368117,102.81464 +Tongoloa silaifolia,33.976206,107.249372 +Tongoloa taeniophylla,32.2808,96.4631 +Tongoloa tenuifolia,31.49,98.21 +Tordyliopsis brunonis,27.98,87.23 +Torilis japonica,36.519977,103.891767 +Trachydium involucellatum,28.48611,98.911543 +Trachydium roylei,35.4242,99.3881 +Trachydium subnudum,28.85,90.45 +Trachydium tibetanicum,35.86,104.2 +Trachyspermum ammi,37.271969,79.738855 +Trachyspermum scaberulum,29.04,93.07 +Trachyspermum triradiatum,31.899166,102.222451 +Vicatia coniifolia,28.66,97.46 +Vicatia thibetica,29.7385,91.1148 +Species,29.68,115.67 +Cycas panzhihuaensis,25.012526,102.700013 +Fimbristylis aestivalis,22.54,114.05 +Abies chayuensis,28.66,97.46 +Abies delavayi var. delavayi,35.86,104.2 +Abies delavayi var. motuoensis,28.2,90.82 +Abies densa,31.712092,88.118532 +Abies ernestii var. ernestii,26.883333,100.233333 +Abies ernestii var. salouenensis,26.883333,100.233333 +Abies fabri,29.366667,103.083333 +Abies fargesii var. fargesii,31.95,102.65 +Abies fargesii var. faxoniana,31.084,103.267 +Abies ferreana,28.33,99.76 +Abies forrestii,28.491111,98.939722 +Abies georgei var. georgei,27.6839,98.4917 +Abies georgei var. smithii,27.6839,98.4917 +Abies nukiangensis,35.86,104.2 +Abies recurvata,30.05,102.05 +Abies spectabilis,28.3523,85.7833 +Abies squamata,30.05,102.05 +Keteleeria evelyniana,25.6667,100 +Larix gmelinii var. gmelinii,37.359,118.157 +Larix gmelinii var. principis-rupprechtii,39.879848,114.630747 +Larix griffithii,27.48,88.9 +Larix himalaica,28.85,85.29 +Larix kaempferi,38.847412,121.287324 +Larix mastersiana,30.511499,103.481974 +Larix olgensis,42.786504,128.514494 +Larix potaninii var. australis,28.48611,98.911543 +Larix potaninii var. potaninii,35.86,104.2 +Larix speciosa,28.66,97.46 +Picea asperata var. asperata,30.91,102.54 +Picea asperata var. aurantiaca,30.055305,101.96483 +Picea aurantiaca var. retroflexa,31.68,103.85 +Picea brachytyla var. brachytyla,35.86,104.2 +Picea brachytyla var. complanata,35.86,104.2 +Picea crassifolia,34.658333,100.626944 +Picea likiangensis var. hirtella,29,101.5 +Picea likiangensis var. likiangensis,35.86,104.2 +Picea likiangensis var. linzhiensis,35.86,104.2 +Picea likiangensis var. montigena,30.055305,101.96483 +Picea likiangensis var. rubescens,31.13,97.18 +Picea purpurea,35.39,102.06 +Picea schrenkiana,44.43,84.67 +Picea smithiana,28.85,85.29 +Picea spinulosa,28.2,90.82 +Picea wilsonii,33.76667,108.33361 +Pinus armandii,25.75,100.1 +Pinus bhutanica,27.9106,98.4111 +Pinus densata,36.519977,103.891767 +Pinus gerardiana,31.47,79.8 +Pinus massoniana,36.519977,103.891767 +Pinus roxburghii,28.85,85.29 +Pinus sylvestris var. mongolica,49.18333,125.21667 +Pinus tabulaeformis,23.012914,104.394161 +Pinus wallichiana,35.86,104.2 +Pinus yunnanensis var. pygmaea,28.01,102.84 +Pinus yunnanensis var. yunnanensis,24.8019,98.795 +Pseudotsuga forrestii,35.86,104.2 +Tsuga chinensis var. chinensis,27.731667,117.642222 +Tsuga chinensis var. forrestii,29,101.5 +Tsuga dumosa,30.583333,101.65 +Tsuga oblongisquamata,30.87,101.89 +Cunninghamia lanceolata var. konishii,24.046484,105.055261 +Cunninghamia lanceolata var. lanceolata,24.44,114.93 +Taiwania cryptomerioides,26.58,107.97 +Cupressus chengiana var. chengiana,32.28,105.52 +Cupressus chengiana var. jiangeensis,30.055305,101.96483 +Cupressus duclouxiana,35.86,104.2 +Cupressus funebris,26.4,110.8 +Cupressus gigantea,29.04,93.07 +Cupressus torulosa,28.48611,98.911543 +Juniperus convallium var. convallium,31.39,100.67 +Juniperus convallium var. microsperma,29.85,95.76 +Juniperus formosana,33.897778,104.5875 +Juniperus indica,28.48611,98.911543 +Juniperus komarovii,38.073254,104.69114 +Juniperus pingii var. pingii,24.976725,101.487417 +Juniperus pingii var. wilsonii,29.155,100.088 +Juniperus przewalskii,34.75,100.22 +Juniperus recurva var. coxii,25.012526,102.700013 +Juniperus recurva var. recurva,28.85,85.29 +Juniperus rigida,42.892,129.254 +Juniperus sabina var. erectopatens,31.389362,103.517258 +Juniperus sabina var. sabina,38.073254,104.69114 +Juniperus saltuaria,36.519977,103.891767 +Juniperus sibirica,26.876096,100.229945 +Juniperus squamata,33.983622,117.991478 +Juniperus tibetica,33.0222,97.2689 +Podocarpus neriifolius,25.39996,112.948819 +Cephalotaxus fortunei var. alpina,27.177166,99.28717 +Cephalotaxus fortunei var. fortunei,23.1868,113.3642 +Cephalotaxus hainanensis,19.134444,109.261667 +Cephalotaxus lanceolata,27.69,98.3008 +Cephalotaxus sinensis,26.138889,110.679167 +Amentotaxus argotaenia,23.74326,114.699884 +Amentotaxus assamica,25.371037,102.5797 +Taxus wallichiana var. chinensis,25.3425,116.834167 +Taxus wallichiana var. mairei,27.7131,98.5261 +Taxus wallichiana var. wallichiana,27.7061,98.3825 +Torreya fargesii var. yunnanensis,35.86,104.2 +Ephedra equisetina,0,0 +Ephedra gerardiana,24.976725,101.487417 +Ephedra intermedia,27.12912,100.23568 +Ephedra likiangensis,35.86,104.2 +Ephedra minuta,27.82308,99.706013 +Ephedra monosperma,32.102778,97.041944 +Ephedra przewalskii,42.6,85.5 +Ephedra saxatilis,26.876096,100.229945 +Ephedra sinica,43.86666,120.08333 +Gnetum pendulum,35.86,104.2 +Nymphaea alba,30.27,120.17 +Nymphaea tetragona,40.02,116.21 +Illicium burmanicum,24.615701,100.709787 +Illicium griffithii,28.26,108.11 +Illicium macranthum,35.86,104.2 +Illicium merrillianum,35.86,104.2 +Illicium simonsii,35.86,104.2 +Illicium wardii,27.740736,98.66582 +Kadsura heteroclita,31.084,103.267 +Schisandra bicolor,25.570976,111.945802 +Schisandra grandiflora,36.519977,103.891767 +Schisandra lancifolia,29.914155,102.234618 +Schisandra mengtzeana,22.87,103.23 +Schisandra neglecta,27.7197,98.5753 +Schisandra propinqua,35.86,104.2 +Schisandra pubescens,29.157849,107.099276 +Schisandra rubriflora,35.86,104.2 +Schisandra sphaerandra,35.86,104.2 +Schisandra sphenanthera,34.5,105.833333 +Houttuynia cordata,27.72278,120.16306 +Peperomia heyneana,25.2975,98.7953 +Peperomia tetraphylla,31.82,108.62 +Piper boehmeriifolium,35.97,116.35 +Piper infossum var. infossum,28.66,97.46 +Piper infossum var. nudum,29.32,95.33 +Piper macropodum,29.32,95.33 +Piper mullesua,29.32,95.33 +Piper pedicellatum,35.86,104.2 +Piper rhytidocarpum,26.293056,110.789167 +Piper semiimmersum,22.46,107.83 +Piper suipigua,29.32,95.33 +Piper sylvaticum,29.32,95.33 +Piper thomsonii,29.32,95.33 +Piper wallichii,31.82,108.62 +Aristolochia cucurbitoides,24.388378,106.006265 +Aristolochia delavayi,27.374855,100.371211 +Aristolochia gentilis,27.92,101.27 +Aristolochia griffithii,28.36,87.76 +Aristolochia macrocarpa,28.67,97.47 +Aristolochia moupinensis,35.86,104.2 +Aristolochia thibetica,35.86,104.2 +Aristolochia wardiana,27.715027,98.502167 +Asarum himalaicum,25.98194,98.67055 +Knema lenta,22.010889,100.79926 +Alcimandra cathcartii,35.86,104.2 +Magnolia delavayi,21.99424,100.806145 +Magnolia globosa,29.32,95.33 +Magnolia rostrata,35.86,104.2 +Magnolia sinensis,31.084,103.267 +Magnolia wilsonii,26.56023,100.176429 +Manglietia caveana,29.32,95.33 +Manglietia insignis,35.86,104.2 +Michelia champaca,18.74,109.17 +Michelia doltsopa,35.86,104.2 +Michelia floribunda,35.86,104.2 +Michelia kisopa,25.032903,101.546159 +Michelia velutina,35.86,104.2 +Michelia yunnanensis,24.9333,102.483 +Parakmeria nitida,35.86,104.2 +Talauma hodgsonii,29.32,95.33 +Yulania campbellii,30,94.88 +Yulania dawsoniana,30.066708,102.758313 +Dasymaschalon rostratum,18.252625,109.511923 +Fissistigma retusum,28.71924,109.438684 +Polyalthia chinensis,29.32,95.33 +Illigera cordata var. mollissima,26.58,101.71 +Illigera grandiflora var. grandiflora,35.86,104.2 +Actinodaphne obovata,29.32,95.33 +Actinodaphne tsaii,24.974167,98.729167 +Alseodaphne andersonii,29.32,95.33 +Alseodaphne petiolaris,21.475834,101.56752 +Beilschmiedia robusta,29.32,95.33 +Beilschmiedia roxburghiana,29.32,95.33 +Cinnamomum bejolghota,27.7589,98.3378 +Cinnamomum contractum,29.63,94.36 +Cinnamomum glanduliferum,28.1147,98.3164 +Cinnamomum iners,35.86,104.2 +Cinnamomum subavenium,25.22845,113.217309 +Cinnamomum tamala,24.580446,99.92854 +Cinnamomum wilsonii,26.466667,111.316667 +Cryptocarya amygdalina,29.32,95.33 +Dodecadenia grandiflora var. grandiflora,35.86,104.2 +Dodecadenia grandiflora var. griffithii,35.86,104.2 +Lindera communis,28.433333,110.4 +Lindera doniana,31.463072,120.38427 +Lindera erythrocarpa,24.983333,112.833333 +Lindera floribunda,26.466667,111.316667 +Lindera fragrans,31.911853,107.244995 +Lindera fruticosa var. fruticosa,29.32,95.33 +Lindera gracilipes,23.125462,104.702829 +Lindera kariensis,35.86,104.2 +Lindera latifolia,24.8308,98.7678 +Lindera limprichtii,31.46667,103.58333 +Lindera longipedunculata,35.86,104.2 +Lindera megaphylla,26.466667,111.316667 +Lindera motuoensis,29.3253,95.333197 +Lindera nacusua,28.0561,98.3364 +Lindera neesiana,30.353794,119.436458 +Lindera obtusiloba var. heterophylla,35.86,104.2 +Lindera obtusiloba var. obtusiloba,27.7656,98.6031 +Lindera pulcherrima var. hemsleyana,29.6008,102.068 +Lindera pulcherrima var. pulcherrima,29.6008,102.068 +Lindera supracostata,27.905,98.6594 +Lindera thomsonii,35.86,104.2 +Lindera tienchuanensis,31.084,103.267 +Lindera villipes,29.32,95.33 +Litsea albescens,26.466667,111.316667 +Litsea balansae,22.983563,103.687613 +Litsea biflora,29.32,95.33 +Litsea chengshuzhii,26.466667,111.316667 +Litsea chinpingensis,35.86,104.2 +Litsea chunii var. chunii,27.99,108.4 +Litsea chunii var. likiangensis,30.055305,101.96483 +Litsea coelestis,29.32,95.33 +Litsea cubeba,26.466667,111.316667 +Litsea depressa,26.466667,111.316667 +Litsea elongata,24.983333,112.833333 +Litsea gongshanensis,35.86,104.2 +Litsea monantha,25.742153,110.040006 +Litsea greenmaniana,35.86,104.2 +Litsea kingii,27.12,100.22 +Litsea liboshengii,26.466667,111.316667 +Litsea longistaminata,22.010889,100.79926 +Litsea mishmiensis,26.466667,111.316667 +Litsea mollis,31.331599,110.783718 +Litsea monopetala,35.86,104.2 +Litsea moupinensis,33.79405,108.863767 +Litsea populifolia,30.066708,102.758313 +Litsea pungens,30.353794,119.436458 +Litsea rubescens var. rubescens,25.2161,98.4961 +Litsea rubescens var. yunnanensis,35.86,104.2 +Litsea sericea,29.58,94.92 +Litsea taronensis,35.86,104.2 +Litsea tibetana,29.32,95.33 +Litsea umbellata,22.010392,107.325268 +Litsea vang var. lobata,23.15,99.25 +Litsea veitchiana,29.052294,110.477656 +Machilus chayuensis,29.85,95.76 +Machilus chrysotricha,26.876096,100.229945 +Machilus dumicola,35.86,104.2 +Machilus duthiei,28.07554,98.92133 +Machilus gamblei,35.86,104.2 +Machilus gongshanensis,35.86,104.2 +Machilus kurzii,35.86,104.2 +Machilus nanmu,29.671778,115.989221 +Machilus obscurinervis,29.32,95.33 +Machilus ovatiloba,26.466667,111.316667 +Machilus robusta,35.86,104.2 +Machilus rufipes,25.98,98.708056 +Machilus salmonea,29.32,95.33 +Machilus shweliensis,35.86,104.2 +Machilus viridis,28,98.83333 +Machilus yunnanensis var. tibetana,27.897245,102.265266 +Machilus yunnanensis var. yunnanensis,35.86,104.2 +Neocinnamomum delavayi,35.86,104.2 +Neocinnamomum mekongense,35.86,104.2 +Neolitsea aurata var. glauca,29.383203,106.523824 +Neolitsea conigemma,29.32,95.33 +Neolitsea homilantha,35.86,104.2 +Neolitsea levinei,26.466667,111.316667 +Neolitsea pallens,28.85,85.29 +Neolitsea sutchuanensis,35.86,104.2 +Phoebe chinensis,29.914155,102.234618 +Phoebe faberi,29.3,106.266667 +Phoebe flaucifolia,26.466667,111.316667 +Phoebe forrestii,25.7167,100.033 +Phoebe legendrei,29.000343,101.507299 +Phoebe motuonan,29.33,95.33 +Sinosassafras flavinervium,26,98.65 +Chloranthus erectus,21.957355,100.452547 +Chloranthus multistachys,25.39996,112.948819 +Acorus gramineus,31.22222,121.45806 +Acorus gramineus,31.22222,121.45806 +Alocasia odora,22.792186,103.086573 +Amorphophallus kachinensis,35.86,104.2 +Arisaema aridum,35.86,104.2 +Arisaema auriculatum,35.86,104.2 +Arisaema brevipes,28.36,87.76 +Arisaema calcareum,23.125462,104.702829 +Arisaema candidissimum,27.42,101.5 +Arisaema ciliatum,27.129911,100.231216 +Arisaema concinnum,35.86,104.2 +Arisaema costatum,27.48,88.9 +Arisaema decipiens,25.020615,98.490007 +Arisaema echinatum,35.86,104.2 +Arisaema elephas,28.554836,99.822357 +Arisaema erubescens,28.66,97.46 +Arisaema exappendiculatum,28.66,97.46 +Arisaema flavum,29.67,91.05 +Arisaema franchetianum,35.86,104.2 +Arisaema galeatum,35.86,104.2 +Arisaema griffithii,28.36,87.76 +Arisaema handelii,35.86,104.2 +Arisaema heterophyllum,31.16986,121.408999 +Arisaema intermedium,35.86,104.2 +Arisaema jacquemontii,27.189425,100.11335 +Arisaema lichiangense,36.519977,103.891767 +Arisaema lineare,29.523376,103.33726 +Arisaema multisectum,29.980513,103.013166 +Arisaema nepenthoides,25.9939,98.6519 +Arisaema parvum,30.06,102.75 +Arisaema propinquum,35.86,104.2 +Arisaema rhizomatum var. nudum,24.68123,105.334672 +Arisaema rhizomatum var. rhizomatum,24.68123,105.334672 +Arisaema saxatile,26.56023,100.17643 +Arisaema sinii,24.045429,109.85442 +Arisaema smitinandii,29.523376,103.33726 +Arisaema souliei,26.679722,106.33697 +Arisaema speciosum,0,0 +Arisaema tengtsungense,35.86,104.2 +Arisaema tortuosum,35.86,104.2 +Arisaema utile,35.86,104.2 +Arisaema wardii,34.601944,103.390556 +Arisaema wattii,35.86,104.2 +Arisaema wilsonii,29.523376,103.33726 +Arisaema xiangchengense,29.1031,99.6319 +Arisaema yunnanense,26.993273,100.195503 +Colocasia affinis,21.979228,101.235405 +Colocasia antiquorum,35.86,104.2 +Colocasia esculenta,29.73797,103.231884 +Colocasia fallax,29.496119,103.398589 +Lasia spinosa,22.08,109.87 +Lemna aequinoctialis,25.4,112.95 +Lemna minor,33.33,105.6 +Lemna trisulca,33.77,106.08 +Pinellia ternata,27.626389,117.966389 +Pistia stratiotes,26.32,116.34 +Pothos chinensis,35.86,104.2 +Pothos repens,20.44,110.2 +Pothos scandens,35.86,104.2 +Remusatia hookeriana,24.8308,98.7678 +Remusatia pumila,35.86,104.2 +Remusatia vivipara,28.36,87.76 +Rhaphidophora crassicaulis,22.007463,100.788719 +Rhaphidophora decursiva,22.009449,100.78511 +Rhaphidophora dulongensis,35.86,104.2 +Rhaphidophora glauca,24.805305,98.527725 +Rhaphidophora hongkongensis,35.86,104.2 +Rhaphidophora hookeri,35.86,104.2 +Rhaphidophora lancifolia,34.05,100.62 +Rhaphidophora luchunensis,35.86,104.2 +Rhaphidophora peepla,27.7686,98.6392 +Sauromatum brevipes,33.05,108.25 +Sauromatum diversifolium,28.85,85.29 +Sauromatum giganteum,35.86,104.2 +Sauromatum horsfieldii,26.122698,98.575256 +Sauromatum venosum,35.86,104.2 +Spirodela polyrhiza,32.3,118.3 +Typhonium blumei,22.012053,100.785477 +Typhonium mangkamense,35.86,104.2 +Wolffia globosa,22.696186,113.836811 +Tofieldia divergens,27.129286,100.234573 +Tofieldia thibetica,38.073254,104.69114 +Alisma gramineum,38.62,103.09 +Alisma orientale,43.6,116.65 +Sagittaria trifolia,45.354,129.542 +Blyxa japonica,23.127041,113.341527 +Hydrilla verticillata,44.338,129.484 +Hydrocharis dubia,30.39,119.96 +Najas marina,51.73,126.67 +Najas minor,38.88,115.88 +Ottelia acuminata var. acuminata,35.86,104.2 +Ottelia alismoides,41.832,126.945 +Vallisneria natans,29.23,117.14 +Scheuchzeria palustris,32.3,84.07 +Triglochin maritima,35.86,104.2 +Triglochin palustris,46.29,122.93 +Potamogeton compressus,41.451,127.92 +Potamogeton crispus,30.94,120.13 +Potamogeton distinctus,28.02527,98.62027 +Potamogeton gramineus,42.78,128.51 +Potamogeton leptanthus,38.073254,104.69114 +Potamogeton lucens,35.86,104.2 +Potamogeton maackianus,36.519977,103.891767 +Potamogeton nanus,34.882085,106.812269 +Potamogeton natans,26.43,110.85 +Potamogeton nodosus,41.220225,80.215804 +Potamogeton obtusifolius,35.81,108.01 +Potamogeton oxyphyllus,25.584234,100.222124 +Potamogeton pectinatus,38.88,115.88 +Potamogeton perfoliatus,44.82,125.92 +Potamogeton polygonifolius,22.929376,112.044025 +Potamogeton pusillus,40.5,117.09 +Potamogeton recurvatus,36.519977,103.891767 +Potamogeton wrightii,41.156223,119.312134 +Stuckenia filiformis,27.5,89 +Stuckenia pamirica,28.15,89.3 +Zannichellia palustris,35.86,104.2 +Zannichellia qinghaiensis,35.0228,98.8606 +Ruppia maritima,29.95,121.72 +Aletris alpestris,27.03332,100.17733 +Aletris capitata,30.066708,102.758313 +Aletris glabra,30.511499,103.481974 +Aletris glandulifera,28.262715,103.571742 +Aletris gracilis,27.62,98.63 +Aletris laxiflora,30.511499,103.481974 +Aletris pauciflora var. khasiana,29.1025,99.6708 +Aletris pauciflora var. pauciflora,27.928607,101.279419 +Aletris stenoloba,31.114073,109.87945 +Dioscorea alata,32.1,118.3 +Dioscorea althaeoides,26.43,110.85 +Dioscorea aspersa,26.56023,100.17643 +Dioscorea bicolor,26.622222,101.586111 +Dioscorea biformifolia,25.841921,98.857727 +Dioscorea birmanica,25.444719,98.861946 +Dioscorea bulbifera,35.86,104.2 +Dioscorea cirrhosa,22.585599,114.203565 +Dioscorea collettii,29.395394,120.166365 +Dioscorea cumingii,22.983563,103.687613 +Dioscorea decipiens,22.01071,100.799775 +Dioscorea deltoidea,28.85,85.29 +Dioscorea hemsleyi,35.86,104.2 +Dioscorea hispida,21.957355,100.452547 +Dioscorea kamoonensis,28.035,98.6 +Dioscorea martini,0,0 +Dioscorea melanophyma,0,0 +Dioscorea nanlaensis,35.86,104.2 +Dioscorea nipponica,25.909859,109.172836 +Dioscorea nitens,24.580446,99.92854 +Dioscorea panthaica,35.86,104.2 +Dioscorea parviflora,35.86,104.2 +Dioscorea pentaphylla,25.166111,116.193611 +Dioscorea persimilis,23.127041,113.341527 +Dioscorea polystachya,21.481222,101.566879 +Dioscorea subcalva,24.68123,105.334672 +Dioscorea velutipes,27.7388,98.3489 +Dioscorea xizangensis,35.86,104.2 +Dioscorea yunnanensis,18.745108,109.17663 +Acanthochlamys bracteata,28.93,99.79 +Stemona mairei,28.354403,99.229875 +Pandanus urophyllus,21.928537,101.253784 +Paris axialis,29.496119,103.398589 +Paris bashanensis,31.33,110.78 +Paris delavayi var. petiolata,24.9269,98.7525 +Paris longistigmata,28.48611,98.911543 +Paris mairei,27.8,98.56666 +Paris marmorata,28.36,87.76 +Paris polyphlla var. chinensis,31.04,110.34 +Paris polyphlla var. stenophylla,27.5,100.23333 +Paris polyphylla var. polyphylla,27.83,119.191 +Paris thibetica var. apetala,35.86,104.2 +Paris thibetica var. thibetica,35.86,104.2 +Paris verticillata,40.947367,115.415314 +Trillium govanianum,29.93,94.88 +Trillium tschonoskii,25.98194,98.67055 +Veratrum grandiflorum,31.2,112.3 +Veratrum mengtzeanum,27.82308,99.706013 +Veratrum nigrum,41.843,126.886 +Veratrum stenophyllum var. stenophyllum,35.86,104.2 +Veratrum taliense,26.65,102.24 +Ypsilandra alpina,35.86,104.2 +Ypsilandra yunnanensis,35.86,104.2 +Heterosmilax septemnervia,35.86,104.2 +Smilax aberrans,22.446542,111.031652 +Smilax aspera,35.86,104.2 +Smilax aspericaulis,35.86,104.2 +Smilax biumbellata,26.009806,98.632141 +Smilax chingii,35.86,104.2 +Smilax cyclophylla,29.47,103.7 +Smilax elegans,29.5367,107.2833 +Smilax ferox,26.466667,111.316667 +Smilax glabra,29.15,112.5 +Smilax griffithii,29.32,95.33 +Smilax hemsleyana,35.86,104.2 +Smilax lanceifolia,35.86,104.2 +Smilax lebrunii,25.7,104.46 +Smilax lushuiensis,35.86,104.2 +Smilax mairei,28.065,98.590278 +Smilax menispermoidea,26.580122,111.840659 +Smilax microphylla,29.8,106.39 +Smilax munita,27.9864,98.62 +Smilax myrtillus,25.72,100.03 +Smilax nana,25.8333,99.9833 +Smilax nigrescens,34.56,105.72 +Smilax ocreata,24.580446,99.92854 +Smilax perfoliata,23.72,106.84 +Smilax quadrata,24.77,103.27 +Smilax stans,28.48611,98.911543 +Smilax trachypoda,30.066708,102.758313 +Asparagus angulofractus,39.71,75.25 +Asparagus brachyphyllus,24.706769,102.928677 +Asparagus cochinchinensis,30.19,119.36 +Asparagus filicinus,32.080278,97.02 +Asparagus gobicus,36.54,104.14 +Asparagus longiflorus,35.21,106.65 +Asparagus lycopodineus,24.8378,98.7647 +Asparagus meioclados,25.3922,102.72 +Asparagus munitus,27.2822,100.85195 +Asparagus myriacanthus,28.661276,97.466916 +Asparagus persicus,38.62,103.09 +Asparagus przewalskyi,40.492344,115.105519 +Asparagus racemosus,28.85,85.29 +Asparagus sichuanicus,31.13,97.18 +Asparagus tibeticus,32.061655,102.990174 +Asparagus yanyuanensis,27.42,101.5 +Barnardia japonica,42.51,124.409 +Campylandra aurantiaca,27.731199,98.3937 +Campylandra chinensis,24.880278,102.832778 +Campylandra ensifolia,25.295664,98.802414 +Campylandra fimbriata,25.5531,98.6683 +Campylandra liangshanensis,28.262715,103.571742 +Campylandra wattii,22.446542,111.031652 +Cardiocrinum giganteum,29.914155,102.234618 +Chlorophytum chinense,28.93,99.79 +Chlorophytum nepalense,28.85,85.29 +Clintonia udensis,28.38222,98.79666 +Disporopsis aspersa,27.753833,98.930417 +Disporum bodinieri,35.86,104.2 +Disporum calcaratum,23.763342,98.82524 +Disporum cantoniense,35.86,104.2 +Disporum megalanthum,33.801858,108.625086 +Disporum uniflorum,30.066708,102.758313 +Diuranthera major,24.93,105.84 +Fritillaria crassicaulis,27.82308,99.706013 +Fritillaria dajinensis,32.97,98.1 +Fritillaria delavayi,29.66666,91.35 +Fritillaria fusca,31.712092,88.118532 +Fritillaria przewalskii,34.04,104.39 +Fritillaria sichuanica,30.996299,103.612264 +Fritillaria sungbei,29.66666,91.35 +Fritillaria unibracteata var. longinectarea,34.586389,99.863611 +Fritillaria unibracteata var. unibracteata,34.586389,99.863611 +Fritillaria walujewii,43.33639,83.03583 +Gagea filiformis,48.43,86.42 +Gagea jaeschkei,37.77,75.22 +Gagea neopopovii,47.180556,90.351667 +Gagea olgae,39.71,75.25 +Gagea ova,43.81,87.6 +Gagea pauciflora,40.5,117.09 +Iphigenia indica,26.56023,100.17643 +Lilium bakerianum var. bakerianum,25.7,100.133 +Lilium brevistylum,28.67,97.47 +Lilium brownii,29.86,118.43 +Lilium davidii,28.63777,98.90555 +Lilium duchartrei,30.71,101.75 +Lilium habaense,27.82308,99.706013 +Lilium henrici,29.49,103.39 +Lilium lijiangense,26.876096,100.229945 +Lilium lophophorum,29.3858,100.149 +Lilium matangense,31.9,102.22 +Lilium nanum var. nanum,28.48611,98.911543 +Lilium nepalense,27.629986,99.685448 +Lilium papilliferum,27.740736,98.66582 +Lilium paradoxum,31.712092,88.118532 +Lilium primulinum var. burmanicum,23.763342,98.82524 +Lilium pumilum,41.451,127.92 +Lilium regale,36,104 +Lilium saccatum,29.22,94.22 +Lilium sargentiae,30.066708,102.758313 +Lilium sempervivoideum,26.890689,102.110335 +Lilium souliei,27.624502,99.643692 +Lilium stewartianum,27.82308,99.706013 +Lilium sulphureum,25.012526,102.700013 +Lilium taliense,27.4758,99.8842 +Lilium tigrinum,31.37,109.62 +Lilium wardii,32,90 +Lilium xanthellum var. xanthellum,28.932073,99.79929 +Lloydia delavayi,26.876096,100.229945 +Lloydia flavonutans,27.48,88.9 +Lloydia ixiolirioides,29.914155,102.234618 +Lloydia oxycarpa,29.6131,94.6531 +Lloydia serotina var. parva,31.712092,88.118532 +Lloydia serotina var. serotina,31.712092,88.118532 +Lloydia tibetica,35.86,104.2 +Lloydia yunnanensis,27.079462,100.259811 +Maianthemum atropurpureum,35.86,104.2 +Maianthemum bifolium,39.31,115.24 +Maianthemum fuscum,28.36,87.76 +Maianthemum gongshanense,25.9725,98.683611 +Maianthemum henryi,27.93099,99.614937 +Maianthemum lichiangense,28.9164,102.216 +Maianthemum oleraceum,27.48,88.9 +Maianthemum purpureum,28.66,97.46 +Maianthemum tatsienense,35.86,104.2 +Maianthemum tubiferum,30.36,102.81 +Milula spicata,29.14,92.59 +Nomocharis aperta,27.930874,99.615021 +Nomocharis basilissa,27.6242,98.6331 +Nomocharis farreri,35.86,104.2 +Nomocharis meleagrina,35.86,104.2 +Nomocharis pardanthina,27.42,101.5 +Nomocharis saluenensis,35.86,104.2 +Notholirion bulbuliferum,27.7078,98.4969 +Notholirion campanulatum,35.86,104.2 +Notholirion macrophyllum,27.928607,101.279419 +Ophiopogon bodinieri,26.993118,100.195396 +Ophiopogon clarkei,29.000343,101.507299 +Ophiopogon grandis,24.580446,99.92854 +Ophiopogon intermedius,26.380833,110.814444 +Ophiopogon lushuiensis,35.86,104.2 +Ophiopogon motouensis,29.32,95.33 +Ophiopogon yunnanensis,35.86,104.2 +Peliosanthes macrostegia,27.2,109.83 +Peliosanthes sinica,22.01071,100.799775 +Peliosanthes teta,29.32,95.33 +Polygonatum alternicirrhosum,36.519977,103.891767 +Polygonatum cathcartii,27.6303,98.6217 +Polygonatum cirrhifolium,28.98,93.22 +Polygonatum curvistylum,26.876096,100.229945 +Polygonatum griffithii,29.9894,94.8653 +Polygonatum hirtellum,29,101.5 +Polygonatum hookeri,33.716667,99.35 +Polygonatum kingianum,24.81,106.37 +Polygonatum medogensis,29.326875,95.328655 +Polygonatum megaphyllum,37.35,111.17 +Polygonatum odoratum,43.5,116.816667 +Polygonatum oppositifolium,29.32,95.33 +Polygonatum pendulum,35.86,104.2 +Polygonatum prattii,35.86,104.2 +Polygonatum punctatum,35.86,104.2 +Polygonatum qinghaiensis,35.0228,98.8606 +Polygonatum sibtrcum,27.0983,100.175 +Polygonatum tessellatum,35.86,104.2 +Polygonatum verticillatum,32.050556,97.24 +Polygonatum zanlanscianense,29.914155,102.234618 +Reineckea carnea,31.330662,121.507378 +Streptopus obtusatus,30.842036,102.947794 +Streptopus parviflorus,29.22,102.35 +Streptopus simplex,27.930874,99.615021 +Theropogon pallidus,28.85,85.29 +Tricyrtis pilosa,31.370137,109.629918 +Tulipa dasystemon,43.83,81.17 +Acampe rigida,23.67,112.39 +Agrostophyllum callosum,29.32,95.33 +Amitostigma basifoliatum,27.928607,101.279419 +Amitostigma faberi,29.49,103.39 +Amitostigma farreri,27.6961,98.4553 +Amitostigma gonggashanicum,29.914155,102.234618 +Amitostigma gracile,45.406164,130.093918 +Amitostigma hemipilioides,25.4667,102.767 +Amitostigma monanthum,28.401089,99.451408 +Amitostigma papilionaceum,32.637983,103.59895 +Amitostigma physoceras,32.4,103.533333 +Amitostigma tetralobum,35.86,104.2 +Amitostigma tibeticum,29.1,99.6922 +Amitostigma trifurcatum,35.86,104.2 +Amitostigma yuanum,35.86,104.2 +Androcorys ophioglossoides,34.3342,100.509 +Androcorys pugioniformis,29.65,91.12 +Androcorys spiralis,35.86,104.2 +Anoectochilus baotingensis,18.626309,109.700342 +Anoectochilus brevistylis,21.68,101.31 +Anoectochilus clarkei,29.32,95.33 +Anthogonium gracile,29.63,94.36 +Aphyllorchis alpina,28.66,97.46 +Aphyllorchis gollani,18.252625,109.511923 +Ascocentrum himalaicum,25.6325,98.7017 +Bletilla formosana,35.86,104.2 +Bletilla ochracea,24.518994,107.410176 +Bletilla striata,24.983333,112.833333 +Brachycorythis galeandra,27.2,109.83 +Bulbophyllum amplifolium,29.32,95.33 +Bulbophyllum andersonii,29.39,110.16 +Bulbophyllum bomiense,28.85,85.29 +Bulbophyllum cariniflorum,28.85,85.29 +Bulbophyllum caudatum,29.32,95.33 +Bulbophyllum cauliflorum,29.32,95.33 +Bulbophyllum delitescens,18.516726,110.029085 +Bulbophyllum elatum,35.86,104.2 +Bulbophyllum emarginatum,29.32,95.33 +Bulbophyllum eublepharum,27.6942,98.3017 +Bulbophyllum forrestii,35.86,104.2 +Bulbophyllum gongshanense,35.86,104.2 +Bulbophyllum guttulatum,29.32,95.33 +Bulbophyllum helenae,35.86,104.2 +Bulbophyllum leopardinum,22.01071,100.799775 +Bulbophyllum odoratissimum,23.869209,116.94221 +Bulbophyllum reptans,29.32,95.33 +Bulbophyllum retusiusculum,35.86,104.2 +Bulbophyllum umbellatum,35.86,104.2 +Bulbophyllum yunnanense,23.714836,102.491391 +Bulleyia yunnanensis,35.86,104.2 +Calanthe alismatifolia,29.32,95.33 +Calanthe alpina,29.93,94.88 +Calanthe arcuata,35.86,104.2 +Calanthe brevicornu,25.22845,113.217309 +Calanthe clavata,22.391288,106.817838 +Calanthe davidii,28.0206,98.6203 +Calanthe densiflora,35.86,104.2 +Calanthe discolor,29.326488,114.963104 +Calanthe griffithii,26.901731,98.869207 +Calanthe hancockii,35.86,104.2 +Calanthe herbacea,21.475834,101.56752 +Calanthe mannii,35.86,104.2 +Calanthe metoensis,29.32,95.33 +Calanthe nipponica,29.63,94.36 +Calanthe plantaginea var. lushuiensis,23.646234,114.117501 +Calanthe plantaginea var. plantaginea,23.932672,112.199131 +Calanthe puberula,35.86,104.2 +Calanthe reflexa,25.39,112.94 +Calanthe sylvatica,25.60168,110.585686 +Calanthe tricarinata,28.48611,98.911543 +Calypso bulbosa,33.15,103.87 +Cephalanthera calcarata,25.67,99.95 +Cephalanthera erecta,29.496119,103.398589 +Cephalanthera falcata,30.066708,102.758313 +Cephalanthera longifolia,28.66,97.46 +Cephalantheropsis halconensis,22.25257,111.721548 +Ceratostylis himalaica,29.32,95.33 +Chamaegastrodia shikokiana,27.928607,101.279419 +Changnienia amoena,32.37917,113.42886 +Chrysoglossum assamicum,29.32,95.33 +Cleisostoma linearilobatum,21.931655,101.240113 +Cleisostoma medogense,29.32,95.33 +Cleisostoma paniculatum,29.32,95.33 +Coelogyne barbata,35.86,104.2 +Coelogyne corymbosa,35.86,104.2 +Coelogyne cristata,28.17,85.98 +Coelogyne fimbriata,29.32,95.33 +Coelogyne leucantha,35.86,104.2 +Coelogyne longipes,35.86,104.2 +Coelogyne occultata,24.8308,98.7678 +Coelogyne ovalis,35.86,104.2 +Coelogyne prolifera,24.8308,98.7678 +Coelogyne punctulata,27.7731,98.3339 +Collabium chinense,24.186045,113.415062 +Collabium formosanum,35.86,104.2 +Conchidium muscicola,34.56,110.09 +Corallorhiza trifida,42.78,128.51 +Corybas taliensis,26.9094,98.8631 +Cremastra appendiculata,24.780744,112.377423 +Crepidium acuminatum,18.900181,109.682583 +Crepidium bahanense,26.876096,100.229945 +Crepidium orbiculare,22.01071,100.799775 +Cryptochilus luteus,35.86,104.2 +Cryptochilus sanguineus,29.32,95.33 +Cylindrolobus tenuicaulis,29.32,95.33 +Cymbidium eburneum,18.252625,109.511923 +Cymbidium elegans var. elegans,29.49,103.39 +Cymbidium ensifolium,26.32496,114.514242 +Cymbidium erythraeum,35.86,104.2 +Cymbidium faberi,29.039409,110.484279 +Cymbidium floribundum,29.157849,107.099276 +Cymbidium goeringii var. goeringii,29.1,107.216667 +Cymbidium gongshanense,35.86,104.2 +Cymbidium hookerianum,25.3986,98.8267 +Cymbidium iridioides,35.86,104.2 +Cymbidium kanran,29.5997,102.058 +Cymbidium lancifolium,35.86,104.2 +Cymbidium tracyanum,24.93042,105.844753 +Cymbidium wilsonii,35.86,104.2 +Cypripedium bardolphianum,32.63,103.59 +Cypripedium debile,30.066708,102.758313 +Cypripedium elegans,28.85,85.29 +Cypripedium fargesii,25.584234,100.222124 +Cypripedium fasciolatum,31.33,110.78 +Cypripedium flavum,27.42,101.5 +Cypripedium franchetii,36.519977,103.891767 +Cypripedium guttatum,27.82308,99.706013 +Cypripedium henryi,35.86,104.2 +Cypripedium himalaicum,28.85,85.29 +Cypripedium macranthos,40.44,117.72 +Cypripedium margaritaceum,27.128349,100.232254 +Cypripedium palangshanense,31.473889,110.323611 +Cypripedium plectrochilum,27.42,101.5 +Cypripedium shanxiense,37.35,111.17 +Cypripedium subtropicum,29.32,95.33 +Cypripedium tibeticum,27.07901,100.258041 +Cypripedium wardii,28.48611,98.911543 +Cypripedium yunnanense,26.938499,100.208699 +Dactylorhiza hatagirea,36.944407,100.898038 +Dactylorhiza umbrosa,43.15,81.12 +Dactylorhiza viridis,46.940833,133.564444 +Dendrobium chrysanthum,23.9,106.61 +Dendrobium cucullatum,24.716666,103.416666 +Dendrobium denneanum,29.49,103.39 +Dendrobium densiflorum,29.32,95.33 +Dendrobium devonianum,29.32,95.33 +Dendrobium fimbriatum,22.653799,108.310905 +Dendrobium hancockii,29.914155,102.234618 +Dendrobium hookerianum,27.7397,98.6592 +Dendrobium longicornu,23.763342,98.82524 +Dendrobium moniliforme,26.58,107.97 +Dendrobium monticola,28.85,85.29 +Dendrobium nobile,29.32,95.33 +Dendrobium pendulum,21.475834,101.56752 +Dendrobium salaccense,29.32,95.33 +Diphylax contigua,27.8947,98.6658 +Diphylax uniformis,27.740736,98.66582 +Diphylax urceolata,29.49,103.39 +Diplomeris pulchella,25.08,104.89 +Epigeneium amplum,35.86,104.2 +Epigeneium fuscescens,29.32,95.33 +Epigeneium rotundatum,35.86,104.2 +Epigeneium treutleri,35.86,104.2 +Epipactis helleborine,28.85,85.29 +Epipactis humilior,29.85,95.76 +Epipactis mairei,33.392394,104.926525 +Epipactis veratrifolia,23,103 +Epipogium aphyllum,35.86,104.2 +Epipogium roseum,35.86,104.2 +Eria alba,29.87,95.77 +Eria clausa,24.392902,106.633387 +Eria coronaria,27.1264,98.8344 +Eria gagnepainii,18.62,109.7 +Eria vittata,29.32,95.33 +Flickingeria albopurpurea,35.86,104.2 +Frigidorchis humidicola,23,103 +Fritillaria cirrhosa,27.082886,100.262718 +Galearis roborowskyi,28.48611,98.911543 +Galearis spathulata,32.583333,103.833333 +Galearis tschiliensis,29.3858,100.149 +Galearis wardii,29.7786,94.7247 +Galeola faberi,35.86,104.2 +Galeola lindleyana,25.60168,110.585686 +Gastrochilus calceolaris,19.254108,110.45517 +Gastrochilus distichus,35.86,104.2 +Gastrochilus formosanus,35.86,104.2 +Gastrochilus intermedius,29.351226,107.616845 +Gastrochilus obliquus,22.01071,100.799775 +Gastrochilus pseudodistichus,35.86,104.2 +Gastrodia elata,26.908457,102.930168 +Geodorum densiflorum,25.46,105.28 +Goodyera biflora,35.86,104.2 +Goodyera bomiensis,29.85,95.76 +Goodyera foliosa,35.86,104.2 +Goodyera fusca,27.48,88.9 +Goodyera henryi,35.86,104.2 +Goodyera procera,35.86,104.2 +Goodyera recurva,35.86,104.2 +Goodyera repens,44.32,85.61 +Goodyera robusta,35.86,104.2 +Goodyera schlechtendaliana,31.83,102.6 +Goodyera velutina,26.43,110.85 +Goodyera wolongensis,31.08,103.26 +Gymnadenia bicornis,29.33,95.33 +Gymnadenia conopsea,37.33,111.18 +Gymnadenia crassinervis,29.22,94.22 +Gymnadenia orchidis,27.7,98.56666 +Habenaria acianthoides,32.94,104.68 +Habenaria acuifera,24.846283,110.451522 +Habenaria aitchisonii,28.93,93.23 +Habenaria arietina,29.32,95.33 +Habenaria balfouriana,27.42,101.5 +Habenaria davidii,25.5,100.183 +Habenaria delavayi,25.087347,102.675258 +Habenaria dentata,29.32,95.33 +Habenaria diplonema,26.876096,100.229945 +Habenaria fargesii,21.737618,101.581019 +Habenaria glaucifolia,27.129282,100.235168 +Habenaria intermedia,28.85,85.29 +Habenaria limprichtii,27.03,100.23 +Habenaria linguella,22.32,109.12 +Habenaria mairei,35.86,104.2 +Habenaria malintana,18.252625,109.511923 +Habenaria stenopetala,29.32,95.33 +Habenaria szechuanica,32.666667,103.583333 +Habenaria tibetica,28.661276,97.466916 +Habenaria wolongensis,31.08,103.26 +Hemipilia cordifolia,28.85,85.29 +Hemipilia crassicalcarata,31.33,110.78 +Hemipilia flabellata,26.993328,100.194717 +Hemipilia forrestii,35.86,104.2 +Hemipilia quinquangularis,35.86,104.2 +Hemipiliopsis purpureopunctata,29.9719,95.3647 +Herminium alaschanicum,32.9222,97.2917 +Herminium angustilabre,35.86,104.2 +Herminium carnosilabre,35.86,104.2 +Herminium chloranthum,30.05,101.96 +Herminium coiloglossum,24.615701,100.709787 +Herminium ecalcaratum,25.8333,99.9833 +Herminium glossophyllum,30.05,101.96 +Herminium josephii,29,93.95 +Herminium lanceum,25.7,100.133 +Herminium macrophyllum,28.85,85.29 +Herminium monorchis,28.63638,98.89861 +Herminium quinquelobum,35.86,104.2 +Herminium singulum,35.86,104.2 +Herminium souliei,35.86,104.2 +Herminium yunnanense,25.032903,101.546159 +Holcoglossum flavescens,31.82,108.62 +Holcoglossum kimballianum,22.010889,100.79926 +Holopogon smithianus,33.222857,107.545509 +Ischnogyne mandarinorum,31.68115,103.853481 +Liparis bistriata,29.32,95.33 +Liparis bootanensis,35.86,104.2 +Liparis campylostalix,29.85,95.76 +Liparis cathcartii,35.86,104.2 +Liparis cespitosa,35.86,104.2 +Liparis chapaensis,27.7411,98.3453 +Liparis cordifolia,29.32,95.33 +Liparis delicatula,29.69,111.02 +Liparis distans,28.13,106.82 +Liparis elliptica,29.32,95.33 +Liparis fargesii,33.53,109.88 +Liparis gigantea,22.446542,111.031652 +Liparis glossula,28.85,85.29 +Liparis nervosa,27.04,114.9 +Liparis odorata,25.79,114.53 +Liparis petiolata,29.326488,114.963104 +Liparis resupinata,29.32,95.33 +Liparis rostrata,28.85,85.29 +Liparis stricklandiana,35.86,104.2 +Liparis tschangii,22.01071,100.799775 +Liparis viridiflora,29.32,95.33 +Luisia ramosii,22.76,107.11 +Luisia teres,30.055305,101.96483 +Malaxis monophyllos,35.86,104.2 +Monomeria barbata,35.86,104.2 +Mycaranthes pannea,18.900181,109.682583 +Myrmechis japonica,35.86,104.2 +Neofinetia falcata,26.684218,100.750798 +Neogyna gardneriana,35.86,104.2 +Neottia acuminata,35.86,104.2 +Neottia bambusetorum,35.86,104.2 +Neottia biflora,36.519977,103.891767 +Neottia camtschatea,40.86,111.81 +Neottia divaricata,29.32,95.33 +Neottia listeroides,35.86,104.2 +Neottia longicaulis,28.85,85.29 +Neottia megalochila,30.05,101.96 +Neottia pinetorum,35.86,104.2 +Neottia puberula var. puberula,38.79,113.43 +Neottia smithii,32.583333,103.833333 +Neottia wardii,30.1711,101.869 +Neottianthe camptoceras,25.116213,99.162598 +Neottianthe compacta,35.86,104.2 +Neottianthe cucullata var. calcicola,27.824167,89.269165 +Neottianthe cucullata var. cucullata,30.1469,101.86 +Neottianthe secundiflora,35.86,104.2 +Nervilia aragoana,27.740736,98.66582 +Nervilia fordii,22.76,107.11 +Oberonia acaulis,29.32,95.33 +Oberonia caulescens,28.66,97.46 +Oberonia kwangsiensis,35.86,104.2 +Oberonia mannii,29.32,95.33 +Oberonia obcordata,29.32,95.33 +Oberonia pyrulifera,35.86,104.2 +Odontochilus crispus,35.86,104.2 +Odontochilus elwesii,29.496119,103.398589 +Odontochilus lanceolatus,25.138185,99.17943 +Odontochilus poilanei,29.32,95.33 +Odontochilus tortus,29.32,95.33 +Orchis cyclochila,47.02,129.02 +Oreorchis fargesii,32.141354,104.298482 +Oreorchis foliosa,27.48,88.9 +Oreorchis micrantha,29.63,94.36 +Oreorchis nana,33.046791,103.933665 +Oreorchis patens,35.86,104.2 +Otochilus albus,35.86,104.2 +Otochilus fuscus,28.1589,98.3256 +Otochilus lancilabius,29.32,95.33 +Otochilus porrectus,35.86,104.2 +Panisea cavaleriei,26.0067,98.6586 +Paphiopedilum armeniacum,35.86,104.2 +Paphiopedilum venustum,29.32,95.33 +Papilionanthe biswasiana,21.957355,100.452547 +Pecteilis susannae,23.688233,113.045465 +Peristylus affinis,25.39996,112.948819 +Peristylus bulleyi,29.037008,100.298406 +Peristylus calcaratus,35.86,104.2 +Peristylus coeloceras,25.8833,100.017 +Peristylus elisabethae,27.48,88.9 +Peristylus fallax,27.48,88.9 +Peristylus forceps,25.07,102.68 +Peristylus forrestii,25.012526,102.700013 +Peristylus goodyeroides,22.758186,108.487812 +Peristylus jinchuanicus,27.92,101.27 +Peristylus mannii,26.655322,102.244617 +Phaius delavayi,27.128586,100.231979 +Phaius flavus,29.39,110.16 +Phaius mishmensis,29.32,95.33 +Phaius tancarvilleae,36.519977,103.891767 +Phaius wallichii,21.475834,101.56752 +Phaius wilsonii,29.523376,103.33726 +Phalaenopsis taenialis,28.85,85.29 +Pholidota articulata,29.32,95.33 +Pholidota chinensis,35.86,104.2 +Pholidota imbricata,27.7731,98.3339 +Pholidota missionariorum,25.46,105.28 +Pholidota yunnanensis,35.86,104.2 +Pinalia acervata,29.32,95.33 +Pinalia conferta,29.32,95.33 +Pinalia coronaria,35.86,104.2 +Pinalia excavata,29.32,95.33 +Pinalia graminifolia,35.86,104.2 +Pinalia spicata,35.86,104.2 +Pinalia stricta,35.86,104.2 +Pinalia szetschuanica,25.255089,110.050532 +Platanthera arcuata,29.32,95.33 +Platanthera bakeriana,35.86,104.2 +Platanthera bifolia,44.086,128.867 +Platanthera chiloglossa,35.86,104.2 +Platanthera chlorantha,40.21,116.17 +Platanthera clavigera,27.48,88.9 +Platanthera curvata,29.496119,103.398589 +Platanthera exelliana,35.86,104.2 +Platanthera finetiana,28.9353,102.212 +Platanthera herminioides,35.86,104.2 +Platanthera hologlottis,24.813781,113.184435 +Platanthera japonica,36.519977,103.891767 +Platanthera latilabris,30,94.97 +Platanthera leptocaulon,35.86,104.2 +Platanthera likiangensis,26.876096,100.229945 +Platanthera minutiflora,29.85,95.76 +Platanthera oreophila,35.86,104.2 +Platanthera roseotincta,35.86,104.2 +Platanthera sachalinensis,45.792899,132.231509 +Platanthera sinica,35.86,104.2 +Platanthera souliei,29.612871,102.90488 +Platanthera stenantha,35.86,104.2 +Platanthera stenophylla,35.86,104.2 +Pleione bulbocodioides,25.395202,114.358084 +Pleione forrestii,35.86,104.2 +Pleione hookeriana,25.60168,110.585686 +Pleione praecox,22.555882,99.932102 +Pleione saxicola,35.86,104.2 +Pleione scopulorum,35.86,104.2 +Pleione yunnanensis,27.128853,100.232101 +Pogonia yunnanensis,35.86,104.2 +Ponerorchis brevicalcarata,27.154416,100.181385 +Ponerorchis chrysea,29.9,94.87 +Ponerorchis chusua,28.403917,99.449661 +Ponerorchis crenulata,28.403917,99.449661 +Ponerorchis limprichtii,29.1,99.6 +Porolabium biporosum,0,0 +Rhomboda moulmeinensis,35.86,104.2 +Risleya atropurpurea,29.91,102.23 +Satyrium nepalense var. ciliatum,27.812516,99.817617 +Satyrium nepalense var. nepalense,27.812516,99.817617 +Satyrium yunnanense,27.251367,100.14627 +Schoenorchis gemmata,18.252625,109.511923 +Smithorchis calceoliformis,35.86,104.2 +Spathoglottis ixioides,28.85,85.29 +Spathoglottis pubescens,26.326566,116.343476 +Spiranthes sinensis,43.815,127.972 +Stauropsis undulata,29.32,95.33 +Sunipia andersonii,26.901731,98.869207 +Sunipia bicolor,35.86,104.2 +Sunipia candida,28.66,97.46 +Sunipia intermedia,35.86,104.2 +Tainia latifolia,35.86,104.2 +Tainia laxiflora,22.753063,100.893393 +Thrixspermum japonicum,31.893892,104.43684 +Thunia alba,23.763342,98.82524 +Tipularia szechuanica,32.583333,103.833333 +Tropidia angulosa,29.32,95.33 +Tropidia curculigoides,0,0 +Vanda concolor,29.32,95.33 +Vanda cristata,23.763342,98.82524 +Vandopsis undulata,25.020615,98.490007 +Curculigo capitulata,35.86,104.2 +Curculigo crassifolia,35.86,104.2 +Hypoxis aurea,22.75,109.2 +Belamcanda chinensis,35.86,104.2 +Iris bulleyana,35.86,104.2 +Iris chrysographes,35.86,104.2 +Iris clarkei,27.48,88.9 +Iris collettii,27.450903,99.822319 +Iris confusa,32.44,104.55 +Iris cuniculiformis,27.44879,99.823021 +Iris decora,29,101.5 +Iris delavayi,35.86,104.2 +Iris dichotoma,41.874,124.251 +Iris ensata,44.314,131.053 +Iris forrestii,26.980596,100.187905 +Iris goniocarpa,35.20256,102.521732 +Iris halophila var. halophila,42.82,93.51 +Iris halophila var. sogdiana,44.31,86.31 +Iris kemaonensis,27.82308,99.706013 +Iris lactea var. chrysantha,36.28,100.62 +Iris lactea var. lactea,36.65,116.99 +Iris latistyla,29.65,91.12 +Iris leptophylla,30.05,101.96 +Iris loczyi,37.503189,101.760864 +Iris milesii,25.7667,100.017 +Iris narcissiflora,30.14,101.86 +Iris polysticta,30.99,102.36 +Iris potaninii var. ionantha,33.693889,99.431111 +Iris potaninii var. potaninii,33.727778,99.350278 +Iris qinghainica,33.481699,102.468831 +Iris ruthenica,27.81861,99.70027 +Iris scariosa,43.42,83.26 +Iris songarica,33.8425,99.675833 +Iris subdichotoma,27.82308,99.706013 +Iris tectorum,33.98,108.2 +Iris tigridia var. tigridia,40.86,111.81 +Iris wattii,35.86,104.2 +Iris wilsonii,33.72,108.20194 +Dianella ensifolia,24.7931,98.8806 +Eremurus chinensis,28.795,99.8372 +Hemerocallis esculenta,31.824099,108.629497 +Hemerocallis forrestii,27.079724,100.235881 +Hemerocallis fulva,26.876096,100.229945 +Hemerocallis nana,27.82308,99.706013 +Hemerocallis plicata,25.012526,102.700013 +Allium aciphyllum,31.93,102.1 +Allium atrosanguineum,34.633333,99.733333 +Allium beesianum,28.38,92.13 +Allium caricoides,37.77,75.22 +Allium carolinianum,34.460556,100.401667 +Allium changduense,31.13,97.18 +Allium chienchuanense,25.012526,102.700013 +Allium chrysanthum,31.25,108.49 +Allium chrysocephalum,34.403056,100.392778 +Allium cyaneum,32.075556,97.065278 +Allium cyathophorum,34.65,100.62 +Allium eusperma,28.93,99.79 +Allium fasciculatum,27.724,89.149 +Allium forrestii,31.87,99.12 +Allium glomeratum,42.32,86.38 +Allium herderianum,33.176944,97.379444 +Allium hookeri,35.86,104.2 +Allium hymenorhizum,43.15,81.12 +Allium kingdonii,28.360138,93.114188 +Allium korolkowii,43.15,81.12 +Allium macranthum,27.82308,99.706013 +Allium macrostemon,43.85,127.637 +Allium mairei,35.86,104.2 +Allium mongolicum,39.333333,106.983333 +Allium nanodes,28.93,99.79 +Allium oreoprasum,39.71,75.25 +Allium ovalifolium var. cordifolium,30.99903,102.364372 +Allium ovalifolium var. ovalifolium,32.06,108.04 +Allium pallasii,43.15,81.12 +Allium phariense,28.85,85.29 +Allium platyspathum,39.48,76.03 +Allium plurifoliatum var. zhegushanense,31.43,103.17 +Allium polyrhizum,39.333333,106.983333 +Allium prattii,35.86,104.2 +Allium przewalskianum,28.48611,98.911543 +Allium ramosum,43.83,126.553 +Allium rude,33.76,99.433889 +Allium schoenoprasum,48.3,87.26 +Allium sikkimense,34.243065,102.296867 +Allium siphonanthum,27.83,99.7 +Allium songpanicum,32.637983,103.59895 +Allium tanguticum,34.683333,100.683333 +Allium tenuissimum,40.432084,117.18114 +Allium tianschanicum,39.71,75.25 +Allium trifurcatum,27.623999,99.640701 +Allium victorialis,37.28,114.51 +Allium wallichii,27.48,88.9 +Allium xichuanense,28.48611,98.911543 +Allium yanchiense,38.91,111.84 +Allium yuanum,33.376944,100.29 +Lycoris aurea,23.127041,113.341527 +Arenga micrantha,29.33,95.33 +Arenga westerhoutii,23.625319,105.630906 +Calamus acanthospathus,27.6903,98.280701 +Calamus flagellum,29.32,95.33 +Calamus floribundus,25.545676,115.852736 +Calamus nambariensis,23.763342,98.82524 +Calamus yunnanensis,35.86,104.2 +Caryota obtusa,27.6903,98.280701 +Pinanga gracilis,29.32,95.33 +Wallichia disticha,29.33,95.33 +Amischotolype hispida,21.934011,101.260734 +Amischotolype hookeri,29.32,95.33 +Commelina benghalensis,32.05,118.79 +Commelina communis,40.012558,116.391694 +Commelina diffusa,29.32,95.33 +Commelina maculata,35.86,104.2 +Commelina paludosa,29.47,103.7 +Cyanotis cristata,35.86,104.2 +Cyanotis vaga,35.86,104.2 +Dictyospermum conspicuum,18.626309,109.700342 +Murdannia divergens,27.4,102.17 +Murdannia stenothyrsa,26.537043,99.905548 +Pollia hasskarlii,22.446542,111.031652 +Spatholirion longifolium,27.376188,102.539939 +Streptolirion volubile subsp. khasianum,25.75,105 +Streptolirion volubile subsp. volubile,24.9936,102.4589 +Tricarpelema xizangense,24.82,97.74 +Ensete glaucum,28.66,97.46 +Musa ballbisiana,25.22845,113.217309 +Musa sanguinea,25.22845,113.217309 +Phrynium placentarium,22.75506,109.207192 +Costus aromatica,21.934011,101.260734 +Costus lacerus,29.32,95.33 +Alpinia blepharocalyx,35.86,104.2 +Alpinia malaccensis,29.32,95.33 +Amomum dealbatum,29.33,95.33 +Amomum maximum,29.32,95.33 +Amomum sp.,23.72,117.18 +Amomum subulatum,29.32,95.33 +Caulokaempferia yunnanensis,27.928607,101.279419 +Cautley cathcartii,27.6303,98.6217 +Cautley gracilis,24,102 +Cautley spicata,24,102 +Curcuma longa,24.884626,104.308791 +Globba racemosa,26.32,116.34 +Hedychium bijiangense,27.740736,98.66582 +Hedychium coccineum,22.54,114.05 +Hedychium coronarium,29.47,103.7 +Hedychium densiflorum,29.85,95.76 +Hedychium efilamentosum,28.02,98.6175 +Hedychium flavum,30.06,102.75 +Hedychium forrestii,23.258134,105.822072 +Hedychium parvibracteatum,29.85,95.76 +Hedychium sinoaureum,27.7314,98.3461 +Hedychium spicatum var. acuminatum,28.85,85.29 +Hedychium spicatum var. spicatum,26.901731,98.869207 +Hedychium villosum var. villosum,21.475834,101.56752 +Hedychium yunnanense,35.86,104.2 +Hornstedtia tibetica,29.32,95.33 +Rhynchanthus beesianus,21.475834,101.56752 +Roscoea alpina,27.48,88.9 +Roscoea auriculata,26.876096,100.229945 +Roscoea capitata,28.85,85.29 +Roscoea cautleoides var. cautleoides,25.7,100.133 +Roscoea humeana,27.078768,100.259399 +Roscoea purpurea,27.0226,100.205 +Roscoea schneideriana,29.0906,99.6747 +Roscoea scillifolia,35.86,104.2 +Roscoea tibetica,28.554939,99.822655 +Zingiber striolatum,29.5367,107.2833 +Sparganium confertum,35.86,104.2 +Sparganium glomeratum,27.82308,99.706013 +Sparganium limosum,29.32,95.33 +Sparganium stoloniferum,27.82308,99.706013 +Typha angustifolia,37.83,112.52 +Typha davidiana,36.651944,101.327222 +Typha domingensis,28.6,116.06 +Typha latifolia,35.81,108.01 +Typha laxmannii,32.05,118.79 +Typha minima,43.92,81.32 +Typha orientalis,40.21,116.17 +Xyris capensis var. schoenoides,23.880344,100.092756 +Eriocaulon cinereum,28.94,117.57 +Eriocaulon nepalense,35.86,104.2 +Eriocaulon pullum,23.625319,105.630906 +Eriocaulon rockianum,24.976725,101.487417 +Eriocaulon setaceum,35.86,104.2 +Eriocaulon sollyanum,28.17,85.98 +Eriocaulon tonkinense,26.0272,98.6286 +Juncus alatus,24.580446,99.92854 +Juncus albesens,46.45,122.93 +Juncus allioides,32.752778,97.214722 +Juncus alpinus,26.645,118.17361 +Juncus amplifolius,35.86,104.2 +Juncus articulatus,35.86,104.2 +Juncus benghalensis,28.93,99.79 +Juncus biglumis,29.16,107.1 +Juncus brachystigma,27.177166,99.28717 +Juncus bracteatus,29.88,93.24 +Juncus bufonius var. bufonius,32.094444,97.266667 +Juncus bufonius var. rechingeri,32.094444,97.266667 +Juncus castaneus,34.3575,100.255556 +Juncus cephalostigma,28.46357,98.91699 +Juncus chrysocarpus,29.32,95.33 +Juncus clarkei,35.86,104.2 +Juncus concinnus var. concinnus,25.827253,100.575146 +Juncus concinnus var. monocepnalus,25.032903,101.546159 +Juncus concolor,23.763342,98.82524 +Juncus crassistylus,33.929444,99.743333 +Juncus effusus,46.45,122.93 +Juncus giganteus,38.24,101.96 +Juncus gracilicaulis,31.084,103.267 +Juncus gracillimus,43.6,116.65 +Juncus grisebachi,46.45,122.93 +Juncus grisebachii,29.9,94.87 +Juncus heptopotamicus var. heptopotamicus,39.46,75.99 +Juncus heptopotamicus var. yiningensis,39.46,75.99 +Juncus himalensis,35.86,104.2 +Juncus inflexus,29.85,95.76 +Juncus khasiensis,27.42,101.5 +Juncus kingii,31.712092,88.118532 +Juncus lanpinguensi,46.45,122.93 +Juncus leucanthus,28.55,85.3 +Juncus leucomelas,28.649583,98.615834 +Juncus luzuliformis,30.06,102.75 +Juncus membranaceus,29.32,95.33 +Juncus milashanensis,34.648889,100.610556 +Juncus minimus,28.647167,98.610556 +Juncus modicus,33.52,107.99 +Juncus nigroviolaceus,28,91.95 +Juncus potaninii,34.588611,100.557778 +Juncus prismatocarpus subsp. prismatocarpus,44.338,129.484 +Juncus przewalskii,35.86,104.2 +Juncus ranarius,36.32,102.79 +Juncus setchuensis,36.205763,120.419669 +Juncus sikkimensis,35.86,104.2 +Juncus sphacelatus,35.86,104.2 +Juncus tanguticus,35.86,104.2 +Juncus thomsonii,34.469167,100.3925 +Juncus tibeticus,29.7786,94.7247 +Juncus triglumis,36.519977,103.891767 +Juncus unifolius,29.63,94.36 +Luzula effusa,36.519977,103.891767 +Luzula multiflora,35.86,104.2 +Luzula oligantha,29.32,95.33 +Luzula parviflora,29.914155,102.234618 +Luzula plumosa,25.584234,100.222124 +Luzula spicata,46.52,89.47 +Luzula sudetica,28.48611,98.911543 +Blysmus compressus,29.77,84.03 +Blysmus rufus,46.74,82.97 +Blysmus sinocompressus,34.3342,100.509 +Bolboschoenus planiculmis,46.06,122.6 +Bulbostylis densa,29.05,93.92 +Carex agglomerata,26.79023,114.90886 +Carex alajica,38.9,75.2 +Carex alexeenkoana,37.17,75.38 +Carex allivescens,34.58,103.5 +Carex alta,24.83,103.98 +Carex angustifructus,32.1164,97.2653 +Carex anomoea,30.76996,90.96733 +Carex arcatica,37.88,77.41 +Carex aridula,36.63,101.17 +Carex aristata var. lanceisquama,32.055645,118.797741 +Carex aristulifera,35.86,104.2 +Carex asperifructus,37.568762,112.284866 +Carex atrata subsp. aterrima,28.484444,98.948889 +Carex atrata subsp. pullata,28.484444,98.948889 +Carex atrofusca subsp. atrofusca,37.88,77.41 +Carex atrofusca subsp. minor,0,0 +Carex atrofuscoides,32.63,103.59 +Carex baccans,29.49,103.39 +Carex breviculmis,36.366097,120.686967 +Carex caespititia,30.76996,90.96733 +Carex canaliculata,28.85,85.3 +Carex capillacea,26.72,117.47 +Carex capilliculmis,34.648333,100.608889 +Carex cardiolepis,32.7464,97.3472 +Carex changmuensis,28.17,85.98 +Carex chiwuana,27.82308,99.706013 +Carex chlorocephalula,25.584234,100.222124 +Carex chlorostachys var. chlorostachys,26.43,110.85 +Carex chlorostachys var. conferta,26.43,110.85 +Carex composita,22.983563,103.687613 +Carex coriophora,46.648944,131.122385 +Carex crebra,32.0944,97.2667 +Carex cremostachys,27.42,99.94 +Carex cruciata,25.76666,100.1 +Carex cruenta,27.48,88.9 +Carex curaica,42.6,85.5 +Carex cylindrostachys,27.42,101.5 +Carex decora,24.283333,109.216667 +Carex delavayi,28.01,102.84 +Carex dichroa,36.98,103.13 +Carex dielsiana,35.86,104.2 +Carex dispalata,30.561162,114.381419 +Carex divisa,32.98,98.1 +Carex doniana,31.463072,120.38427 +Carex drepanorhyncha,35.86,104.2 +Carex duriuscula subsp. rigescens,39.880344,116.272581 +Carex duriuscula subsp. stenophylloides,37.62,78.28 +Carex duthiei,29.583333,94.95 +Carex echinochloaeformis,27.177166,99.28717 +Carex eminens,27.63,104.05 +Carex enervis,36.85,81.67 +Carex ensifolia,35.20256,102.521732 +Carex fastigiata,27.82308,99.706013 +Carex filicina,23.301178,114.026178 +Carex finitima,25.60168,110.585686 +Carex fluviatilis,0,0 +Carex foliosa,0,0 +Carex forrestii,0,0 +Carex gentilis var. gentilis,0,0 +Carex gentilis var. intermedia,0,0 +Carex globistylosa,30.76996,90.96733 +Carex gaoligongshanensis,35.86,104.2 +Carex gonggaensis,33.733334,107.96667 +Carex gongshanensis,35.86,104.2 +Carex griffithii,22.013258,100.787354 +Carex haematostoma,34.6583,100.627 +Carex hancockiana,33.97,106.77 +Carex hemineuros,30.76996,90.96733 +Carex henryi,35.86,104.2 +Carex heshuonensis,42.27,86.87 +Carex heterolepis,37.02,111.91 +Carex hirtelloides,28.596944,99.867778 +Carex hirticaulis,32.075,97.038611 +Carex huolushanensis,30.76996,90.96733 +Carex inanis,27.177166,99.28717 +Carex inclinis,35.86,104.2 +Carex incurva,28.57,91.44 +Carex insignis,35.86,104.2 +Carex ivanovae,35.22,93.05 +Carex kansuensis,34.3683,100.222 +Carex karlongensis,30.65,104.08 +Carex korshinskii,37.186502,104.060837 +Carex kunlunsanensis,30.76996,90.96733 +Carex laeta,35.86,104.2 +Carex lanceolata,31.131368,118.174192 +Carex lehmannii,36.92,101.32 +Carex lenta,26.9,98.85 +Carex ligulata,35.86,104.2 +Carex lithophila,40.21,116.17 +Carex longicurcuris,30.76996,90.96733 +Carex longipes,35.86,104.2 +Carex makuensis,35.86,104.2 +Carex melinacra,35.86,104.2 +Carex microglochin,30.05,101.96 +Carex montis-everestii,32.8831,96.685 +Carex moorcroftii,34.3108,99.1814 +Carex motuoensis,29.244431,95.175076 +Carex moupinensis,35.86,104.2 +Carex muliensis,27.82308,99.706013 +Carex munda,28.17,85.98 +Carex myosurus,28.66,97.46 +Carex nakaoana,29.8497,92.3399 +Carex neodigyna,32.97,98.1 +Carex nivalis,35.86,104.2 +Carex nubigena,27.6839,98.4917 +Carex obscura var. brachycarpa,35.86,104.2 +Carex obscura var. obscura,35.86,104.2 +Carex obscuriceps,27.177166,99.28717 +Carex olivacea,29.16,107.1 +Carex orbicularis,29.22,94.22 +Carex ovatispiculata,28.48611,98.911543 +Carex oxyphylla,35.86,104.2 +Carex pamirensis,27.177166,99.28717 +Carex parva,35.03,101.47 +Carex pediformis,33.03,108.24 +Carex perakensis,26.43,110.85 +Carex plectobasis,32.316667,96.466667 +Carex pleistogyna,35.86,104.2 +Carex polycephala,35.86,104.2 +Carex polymascula,29.1278,99.9753 +Carex pomiensis,35.86,104.2 +Carex praeclara,30.33,90.57 +Carex praelonga,35.86,104.2 +Carex prolongata,32.63,103.59 +Carex pruinosa,27.69,108.85 +Carex przewalskii,36.63,101.17 +Carex pseudofoetida,36.85,81.67 +Carex pulchra,35.86,104.2 +Carex purpureosquamata,25.75,100.083333 +Carex pycnostachya,37.77,75.22 +Carex qinghaiensis,32.2,96.48 +Carex radicalis,30.88,101.88 +Carex remotiuscula,46.300861,129.538917 +Carex ridongensis,35.86,104.2 +Carex roborosalcu,30.76996,90.96733 +Carex rochebrunii,29.39,110.16 +Carex rubrobrunnea var. rubrobrunnea,25.60168,110.585686 +Carex rubrobrunnea var. taliensis,25.60168,110.585686 +Carex sagaensis,32.57,83.37 +Carex sendaica,32.06734,118.832694 +Carex satakeana,30.48,91.1 +Carex scabrirostris,29.037008,100.298406 +Carex schneideri,30.066708,102.758313 +Carex scolopendriformis,26.876096,100.229945 +Carex sempervirens subsp. tristis,46.8,85.72 +Carex serreana,35.529947,106.697534 +Carex setigera var. schlagintweitiana,30.13,81.33 +Carex setigera var. setigera,30.13,81.33 +Carex setosa,30.13,81.33 +Carex songorica,36.8159,105.446 +Carex speciosa,27.92,101.27 +Carex stenocarpa,44.13,85.76 +Carex stenophylla,42.6,85.5 +Carex stipitinux,35.86,104.2 +Carex subfilicinoides,35.86,104.2 +Carex subpediformis,40.448392,117.728677 +Carex tangulashanensis,36.62,77.13 +Carex tapinzensis,30.76996,90.96733 +Carex tatsiensis,33.3769,100.29 +Carex teinogyna,23.308319,114.000306 +Carex teres,27.624167,98.633056 +Carex thomsonii,24.68123,105.334672 +Carex thunbergii,41.82,123.41 +Carex turkestanica,46.52,89.47 +Carex ussuriensis,43.889,127.848 +Carex vulpinaris,31.82,98.58 +Carex yulungshanensis,26.876096,100.229945 +Carex yunlingensis,28.48611,98.911543 +Carex yushuensis,32.5739,97.2106 +Carex zekogensis,32.1028,97.0419 +Cladium jamaicence subsp. chinense,25.39996,112.948819 +Cyperus amuricus,37.528687,121.433731 +Cyperus cuspidatus,29.65,91.12 +Cyperus cyperinus,22.54,114.05 +Cyperus cyperoides,29.33,102.58 +Cyperus difformis,25.25,110.05 +Cyperus eleusinoides,23.219942,102.835218 +Cyperus fuscus var. fuscus,39.16,117.21 +Cyperus fuscus var. pallido-marginatus,39.16,117.21 +Cyperus haspan,24.983333,112.833333 +Cyperus iria,29.78,118.18 +Cyperus niveus,28.71,99.28 +Cyperus pannonicus,46.08,122.13 +Cyperus pilosus,25.79,114.53 +Cyperus rotundus,22.605238,114.03208 +Cyperus squarrosus,29.67,94.37 +Eleocharis abnorma,27.5,117.4 +Eleocharis congesta,26.72,117.47 +Eleocharis dulcis,24.773759,110.495339 +Eleocharis erhaiensis,24.773759,110.495339 +Eleocharis fennica var. fennica,37.33,100.13 +Eleocharis fennica var. sareptana,37.33,100.13 +Eleocharis glabella,35.58,99.98 +Eleocharis intersita,39.71,75.25 +Eleocharis kamtschatica,49.32,119.43 +Eleocharis kuoi,25,102.75 +Eleocharis liouana,27.82308,99.706013 +Eleocharis meridionalis,44.97,81.03 +Eleocharis ovata,29.32,95.33 +Eleocharis palustris,47.67,124.51 +Eleocharis penchaoi,24.773759,110.495339 +Eleocharis qinghaiensis,35.0228,98.8606 +Eleocharis quinqueflora,35.02,79.15 +Eleocharis setulosa,25.9836,98.8191 +Eleocharis uniglumis,46.48,122.88 +Eleocharis valleculosa var. setosa,40.21,116.17 +Eleocharis valleculosa var. valleculosa,40.21,116.17 +Eleocharis yokoscensis,22.54,114.05 +Eleocharis yunnanensis,35.86,104.2 +Eriophorum angustifolium,44.386,130.995 +Eriophorum comosum,27.5,99.5 +Eriophorum gracile,44.386,130.995 +Fimbristylis bisumbellata,22.54,114.05 +Fimbristylis complanata,26.75,100 +Fimbristylis dichotoma subsp. dichotoma,36.06667,120.33334 +Fimbristylis dichotoma subsp. podocarpa,35.86,104.2 +Fimbristylis littoralis var. littoralis,30.508565,118.788677 +Fimbristylis longispica,25.453199,119.008583 +Fimbristylis nigrobrunnea,21.66,109.2 +Fimbristylis ovata,23.127041,113.341527 +Fimbristylis pierotii,26.56023,100.17643 +Fimbristylis quinquangularis,26.72,117.47 +Fimbristylis rigidula,25.67,100.13 +Fimbristylis squarrosa,39.62,119.05 +Fimbristylis stolonifera,26.56023,100.17643 +Fissistigma polyanthum,29.32,95.33 +Isolepis setacea,33.22,107.55 +Isolepis setaceus,32.094444,97.266667 +Kobresia angusta,35.86,104.2 +Kobresia burangensis,30.3,81.17 +Kobresia cercostachys,35.86,104.2 +Kobresia cuneata,32.58333,103.83333 +Kobresia curticeps,28.85,85.3 +Kobresia duthiei,27.48,88.9 +Kobresia eapillifolia,35.86,104.2 +Kobresia esenbeckii,28.85,85.29 +Kobresia falcata,30.511499,103.481974 +Kobresia filicina,23.763342,98.82524 +Kobresia filifolia,38.78,101.08 +Kobresia fragilis,27.1732,99.4265 +Kobresia gammiei,28.12,91.9 +Kobresia graminifolia,34.4606,100.402 +Kobresia hohxilensis,33.38,79.73 +Kobresia hookeri,28.85,85.29 +Kobresia humilis,32.272311,96.224624 +Kobresia inflata,35.86,104.2 +Kobresia kansuensis,34.5864,99.8636 +Kobresia lacustris,27.23,112.87 +Kobresia laxa,28.85,85.29 +Kobresia littledalei,31.47,79.8 +Kobresia loliacea,26.453601,99.416689 +Kobresia longearistita,35.86,104.2 +Kobresia macrantha,32.1431,97.2706 +Kobresia macroprophylla,32.77,96.67 +Kobresia maquensis,30.979541,101.125234 +Kobresia menyuanica,35.86,104.2 +Kobresia microglochin,34.65,98.0333 +Kobresia myosuroides subsp. bistaminata,36.92,101.32 +Kobresia myosuroides subsp. myosuroides,44.43,84.91 +Kobresia nepalensis,29.037008,100.298406 +Kobresia parva,35.86,104.2 +Kobresia persica,29.77,84.03 +Kobresia pinetorum,26.876096,100.229945 +Kobresia prainii,31.01,85.15 +Kobresia prattii,34.3683,100.222 +Kobresia pusilla,39.879848,114.630747 +Kobresia pygmaea var. filiculmis,27.82308,99.706013 +Kobresia pygmaea var. pygmaea,28.491111,98.939722 +Kobresia robusta,29.77,84.03 +Kobresia royleana subsp. royleana,32.0806,97.0072 +Kobresia royleana subsp. minshanica,37.006389,102.177778 +Kobresia schoenoides,35.0228,98.8606 +Kobresia setchwanensis,34.3683,100.222 +Kobresia stenocarpa,31.8753,96.5236 +Kobresia tibetica,29.1411,99.9283 +Kobresia trinervis,28.36,87.76 +Kobresia tunicata,26.876096,100.229945 +Kobresia vidua,32.9841,103.668717 +Kobresia yadongensis,29.936,90.813 +Kobresia yangii,29.037008,100.298406 +Kobresia yushuensis,30.055305,101.96483 +Kyllinga brevifolia,35.86,104.2 +Kyllinga melanosperma,25.012526,102.700013 +Kyllinga squamulata,29.58,94.92 +Lipocarpha chinensis,26.72,117.47 +Pycreus diaphanus,41.451,127.92 +Pycreus flavidus,41.451,127.92 +Pycreus lijiangensis,24.993889,98.734722 +Pycreus sanguinolentus,33.32,105.6 +Pycreus sulcinux,35.86,104.2 +Pycreus unioloides,24.399244,109.379926 +Schoenoplectus juncoides,30.27,120.17 +Schoenoplectus mucronatus,31.37,109.62 +Schoenoplectus subulatus,31.35,106.07 +Schoenoplectus tabernaemontani,29.71,91.43 +Schoenoplectus triqueter,30.6,120.06 +Scirpus litoralis,32.95,109.58 +Scirpus lushanensis,35.86,104.2 +Scirpus maxitimus,29.5,103.8 +Scirpus paniculato-corymbosus,29.22,102.35 +Scirpus rosthornii,35.86,104.2 +Scirpus trigueter,29.5,103.8 +Scirpus wichurae,41.464,127.544 +Scleria dulungensis,35.86,104.2 +Scleria hookeriana,24.983333,112.833333 +Scleria parvula,25.04,116.42 +Scleria pergracilis,31.92,119.17 +Scleria terrestris,29.8,106.39 +Trichophorum distigmaticum,36.92697,101.685623 +Trichophorum pumilum,35.97,77.05 +Achnatherum acuminata,36.084735,120.440602 +Achnatherum chingii var. chingii,32.0803,97.02 +Achnatherum chingii var. laxum,30.004589,99.107741 +Achnatherum extremiorientale,39.96556,115.43528 +Achnatherum inaequiglume,30.911944,102.546111 +Achnatherum inebrians,34.658333,100.626944 +Achnatherum jacquemontii,34.07028,102.15944 +Achnatherum nakaii,31.95,102.65 +Achnatherum pekinense,32.06734,118.832694 +Achnatherum psilantherum,41.031707,113.121092 +Achnatherum pubicalyx,47.77,128.91 +Achnatherum saposhnikovii,41.79,81.87 +Achnatherum sibiricum,42.457,124.007 +Achnatherum splendens,38.073254,104.69114 +Achnatherum wilsoniana,35,105 +Acrachne racemosa,25.869611,102.593465 +Aeluropus micrantherus,37.47,102.89 +Aeluropus pungens,39.38333,75.85 +Agropyron cristatum var. cristatum,36.103889,103.353889 +Agropyron cristatum var. pectinforme,36.103889,103.353889 +Agropyron desertorum var. pilosiusculum,35.71,94.08 +Agrostis aequilemma,46.06,122.6 +Agrostis affinis,32.27,100.33 +Agrostis brachiata,26.090668,103.193091 +Agrostis canina,32.27,100.33 +Agrostis capillaris,27.48,88.9 +Agrostis clavata subsp. micrantha,25.670153,99.958012 +Agrostis clavata var. clavata,31.37,109.62 +Agrostis gigantea,32.918333,97.3275 +Agrostis gongshanensis,35.86,104.2 +Agrostis himalayana,35.86,104.2 +Agrostis hookeriana,35.86,104.2 +Agrostis hugoniana var. aristata,29.3858,100.149 +Agrostis hugoniana var. hugoniana,29.3858,100.149 +Agrostis kangdingensis,30.055305,101.96483 +Agrostis kunmingensis,30.67004,104.07015 +Agrostis limprichtii,35.86,104.2 +Agrostis mackliniae,29.32,95.33 +Agrostis micrantha,32.094444,97.266667 +Agrostis munroana,28.66,97.46 +Agrostis myriantha,35.86,104.2 +Agrostis nagensis,28.285,99.765 +Agrostis nervosa,29.89861,100.31833 +Agrostis olympica,46.06,122.6 +Agrostis pilosula,43.78,82.49 +Agrostis riparia,27.92,101.27 +Agrostis schneideri var. brevipes,27.177166,99.28717 +Agrostis schneideri var. schneideri,28.596944,99.867778 +Agrostis sikangensis,29.0758,99.9189 +Agrostis sikkimensis,28.573056,99.813889 +Agrostis sinocontracta,29.25,94.25 +Agrostis sinorupestria,46.06,122.6 +Agrostis stolonifera,46.06,122.6 +Agrostis subaristata,30.05,101.96 +Agrostis szechuanica,31.37,109.62 +Agrostis taliensis,28.661276,97.466916 +Agrostis vinealis,46.036539,131.248856 +Alloteropsis semialata,22.65,108.31 +Alopecurus aequalis,35.86,104.2 +Alopecurus arundinaceus,38.78,101.08 +Alopecurus brachystachyus,31.37,109.62 +Alopecurus himalaicus,39.88,76.66 +Andropogon daochenensis,33.15,106.67 +Andropogon munroi,31.07611,101.87472 +Anthoxanthum clarkei,28.48611,98.911543 +Anthoxanthum glabrum,37.299483,121.740871 +Anthoxanthum hookeri,25.04,102.37 +Anthoxanthum khasiana,28.65,87.12 +Anthoxanthum laxa,34.43,104.03 +Anthoxanthum nitens,45.354,129.542 +Anthoxanthum sikkimense,27.7742,98.4469 +Anthoxanthum tibeticum,31.712092,88.118532 +Apluda mutica,22.596943,114.036418 +Apocopis paleaceus,35.86,104.2 +Aristida adscensionis,35.651389,117.313056 +Aristida alpina,29.65,91.12 +Aristida brevissima,28.2592,99.2739 +Aristida grandiglumis,40.14,94.66 +Aristida maowenensis,32.637983,103.59895 +Aristida nujiangensis,27.6978,98.2908 +Aristida scabrescens,29.68,91.13 +Aristida triseta,28.83,90.55 +Aristida tsangpoensis,29.35,90.88 +Arthraxon batangensis,30.004589,99.107741 +Arthraxon hispidus var. hispidus,35.86,104.2 +Arthraxon lancifolius,35.86,104.2 +Arthraxon prionodes,39.626134,115.551109 +Arundinaria faberi,30.23433,107.75349 +Arundinella bangalensis,36.219575,120.597352 +Arundinella bengalensis,24.8881,98.69 +Arundinella decempedalis,22.54,114.05 +Arundinella grandiflora,26.56023,100.17643 +Arundinella hirta var. hirta,35.81,108.01 +Arundinella hookeri,28.85,85.29 +Arundinella nepalensis,25.416667,99.166667 +Arundinella nodosa,26,103.25 +Arundinella setosa var. tengchongensis,25.255089,110.050532 +Arundinella yunnanensis,35.86,104.2 +Arundo donax,25.25,110.05 +Arundo minor,26.08,119.24 +Aulacolepis agrostoides,29.157849,107.099276 +Aulacolepis treutleri,27.740736,98.66582 +Avena fatua var. fatua,25.39996,112.948819 +Avena fatua var. glabrata,25.39996,112.948819 +Axonopus fissifolius,23.03,112.45 +Bambusa teres,29.32,95.33 +Beckmannia syzigachne,24.9574,102.6393 +Bothriochloa bladhii var. bladhii,36.519977,103.891767 +Bothriochloa bladhii var. punctata,23.36561,103.388085 +Bothriochloa ischaemum,29.13,92.57 +Brachiaria eruciformis,35.86,104.2 +Brachiaria kurzii,35.86,104.2 +Brachiaria subquadripara var. subquadripara,24.7,117.31 +Brachiaria villosa var. villosa,25.012526,102.700013 +Brachyelytrum altum,31.566667,109.783333 +Brachypodium ponnatum,38.073254,104.69114 +Brachypodium pratense,29.63,94.36 +Brachypodium sylvaticum var. breviglume,25.012526,102.700013 +Brachypodium sylvaticum var. gracile,30.066708,102.758313 +Brachypodium sylvaticum var. sylvaticum,25.012526,102.700013 +Briza media,28.58,105.7 +Bromus danthoniae,38.073254,104.69114 +Bromus epilis,32.071667,97.045278 +Bromus gracillimus,31.47,79.8 +Bromus himalaicus,35.86,104.2 +Bromus inermis,47.66472,119.28667 +Bromus japonicus,33.97,107.24 +Bromus magnus,32.094444,97.266667 +Bromus mairei,32.094444,97.266667 +Bromus pectinatus,38.95,75.17 +Bromus plurinodis,31.763611,96.581389 +Bromus porphyranthos,30.05,101.96 +Bromus pseudoramosus,25.827253,100.575146 +Bromus remotiflorus,28.17041,112.731433 +Bromus romusgrandis,38.073254,104.69114 +Bromus sinensis var. minor,32.77,96.67 +Bromus sinensis var. pilosiusculum,32.77,96.67 +Bromus sinensis var. sinensis,32.77,96.67 +Bromus sinensis var. staintonii,31.21,98.82 +Bromus staintonii var. guoxunianus,31.21,98.82 +Bromus staintonii var. staintonii,31.21,98.82 +Bromus tectorum,34.588611,100.557778 +Bromus xiaojinensis,31.39,100.67 +Calamagrostis emodensis,35.86,104.2 +Calamagrostis epigeios,46.169623,90.428703 +Calamagrostis hedinii,28.6398,102.507677 +Calamagrostis macrolepis,41.25,114.81 +Calamagrostis pseudophragmites,32.0717,97.0453 +Calamagrostis turkestanica,42.6,85.5 +Capillipedium alpinum,26.876096,100.229945 +Capillipedium assimile,25.612608,115.823525 +Capillipedium maowenensis,27.7482,101.213 +Capillipedium parviflorum,40.64,116.58 +Catabrosa aquatica var. angusta,36.4,94.9 +Catabrosa aquatica var. aquatica,36.5,100.67 +Catabrosa capusii,31.41,95.59 +Centotheca lappacea,22.52,103.93 +Cephalostachyum latifolium,29.32,95.33 +Cephalostachyum pallidum,29.32,95.33 +Cephalostachyum pergracile,35.86,104.2 +Chimonobambusa armata,26.901731,98.869207 +Chimonobambusa metuoensis,29.32,95.33 +Chimonobambusa purpurea,28.657576,105.106094 +Chimonobambusa quadrangularis,25.255089,110.050532 +Chloris pycnothrix,35.86,104.2 +Chloris virgata,46.25,122.93 +Chrysopogon gryllus,40.82,119.8 +Cleistogenes hackelii var. hackelii,36.745696,117.175213 +Cleistogenes minjiangensis,31.48,103.58 +Cleistogenes mucronata,38.93,100.46 +Cleistogenes pilipes,38.073254,104.69114 +Cleistogenes songorica,36.316111,103.888056 +Cleistogenes squarrosa,38.073254,104.69114 +Colpodium tibeticum,27.416667,88.8 +Cymbopogon distans,29.65,104.06 +Cymbopogon hookeri,28.85,85.29 +Cymbopogon jwarancusa subsp. jwarancusa,31.47,79.8 +Cymbopogon jwarancusa subsp. olivieri,31.47,79.8 +Cymbopogon lanceifolius,35.86,104.2 +Cymbopogon liangshanensis,28.262715,103.571742 +Cymbopogon martinii,27.7,103.25 +Cymbopogon pospischilii,28.66,97.46 +Cymbopogon scabrescens,27.37,102.53 +Cymbopogon tibeticus,29.7786,94.7247 +Cymbopogon tungmaiensis,28.48611,98.911543 +Cynodon dactylon,30.55,121.51 +Cyrtococcum patens var. latifolium,28.88,104.92 +Cyrtococcum patens var. patens,23.127041,113.341527 +Dactylis glomerata var. glomerata,31.35,109.08 +Dactylis glomerata var. himalayensis,27.177166,99.28717 +Danthonia cachemyriana,26.876096,100.229945 +Danthonia cumminsii,27.48,88.9 +Dendrocalamus fugongensis,35.86,104.2 +Dendrocalamus mianningensis,23.880344,100.092756 +Dendrocalamus parishii,35.86,104.2 +Dendrocalamus tibeticus,27.685,98.3375 +Deschampsia cespitosa subsp. cespitosa,32.075556,97.065278 +Deschampsia cespitosa subsp. ivanovae,33.742778,97.125 +Deschampsia cespitosa subsp. orientalis,30.08,100 +Deschampsia cespitosa subsp. pamirica,42.26,86.86 +Deschampsia koelerioides,34.580833,99.450833 +Deyeuxia abnormis,24.58669,98.689166 +Deyeuxia anthoxanthoides,37.77,75.22 +Deyeuxia compacta,32.3,84.06 +Deyeuxia conferta,37.503189,101.760864 +Deyeuxia diffusa,27.37,102.53 +Deyeuxia effusiflora,35.86,104.2 +Deyeuxia flaccida,25.841921,98.857727 +Deyeuxia flavens,32.0803,97.02 +Deyeuxia ganziensis,30.057367,101.772316 +Deyeuxia hakonensis,30.272939,118.141565 +Deyeuxia himalaica,29.32,95.33 +Deyeuxia holciformis,32.0944,97.2667 +Deyeuxia kokonorica,37.36,97.36 +Deyeuxia lapponica,44.32,85.61 +Deyeuxia macilenta,30.47,91.09 +Deyeuxia mazzettii,27.3455,99.2588 +Deyeuxia moupinensis,35.86,104.2 +Deyeuxia neglecta,32.790891,102.544402 +Deyeuxia nepalensis,27.740736,98.66582 +Deyeuxia nivicola,24.271311,102.239789 +Deyeuxia nyingchiensis,29.63,94.36 +Deyeuxia petelotii,24.85375,98.73159 +Deyeuxia pulchella var. laxa,29.037008,100.298406 +Deyeuxia pulchella var. pulchella,29.63,94.36 +Deyeuxia purpurea,47.24,132.44 +Deyeuxia pyramidalis,28.030833,98.613889 +Deyeuxia rosea,35.86,104.2 +Deyeuxia scabrescens,32.9986,97.2517 +Deyeuxia sinelatior,34.28,107.75 +Deyeuxia tianschanica,37.88,77.41 +Deyeuxia tibetica var. przevalskyi,34.5603,99.5214 +Deyeuxia tibetica var. tibetica,34.5603,99.5214 +Deyeuxia triplifera,29.5833,96.4167 +Deyeuxia yanyuanensis,27.422643,101.509187 +Deyeuxia zangxiensis,31.39,90 +Dichanthium annulatum,24.8169,98.8875 +Dichanthium caricosum,26.58,101.71 +Digitaria ciliaris var. chrysoblephara,39.916667,116.083333 +Digitaria cruciata,31.82,108.62 +Digitaria fibrosa,21.66,109.2 +Digitaria hengduanensis,25.53,102.4 +Digitaria ischaemum,41.832,126.945 +Digitaria longiflora,25.6,110.58 +Digitaria sanguinalis,39.38333,75.85 +Digitaria setigera,24.47,118.08 +Digitaria stewartiana,41.71,82.96 +Digitaria stricta var. denudata,28.85,85.29 +Digitaria stricta var. stricta,24.7,117.31 +Digitaria ternata,25.704553,101.874472 +Digitaria violascens,41.483,127.298 +Duthiea brachypodium,31.39,100.67 +Duthiea cedaensis,25.959029,117.359304 +Echinochloa crusgalli,35.86,104.2 +Eleusine indica,40.008647,116.387569 +Elymus atratus,36.73333,99.76667 +Elymus barystachyus,31.82,98.58 +Elymus breviaristatus,36,96 +Elymus cacuminis,38.073254,104.69114 +Elymus dahuricus var. cylindricus,32.15,97.045 +Elymus dahuricus var. dahuricus,32.15,97.045 +Elymus dahuricus var. violeus,34.17,108.93 +Elymus dahuricus var. xiningensis,32.15,97.045 +Elymus excelsus,34.054197,111.047906 +Elymus geminata,30.03,101.02 +Elymus magnipodus,38.073254,104.69114 +Elymus nutans,30.165,100.55556 +Elymus retroflexus,29.33,89.97 +Elymus shouliangiae,38.073254,104.69114 +Elymus sibiricus,27.2822,100.85195 +Elymus sinosubmuticus,39.203056,98.538333 +Elymus tangutorum,32.0856,97.0119 +Elymus ternatus,26.466667,111.316667 +Elymus tschimganicus var. glabrispiculus,44.75,81.15 +Elymus tschimganicus var. tschimganicus,44.75,81.15 +Elymus tschimganicus var. variiglumis,44.75,81.15 +Elymus villifer,39.019167,115.643889 +Elymus yangiae,29.885278,93.246111 +Elymus yushuensis,32.790891,102.544402 +Elytrigia alatavica,37.88,77.41 +Elytrigia repens subsp. longearistata,43.81,87.6 +Elytrigia repens subsp. repens,43.81,87.6 +Enneapogon brachystachyus,28.713041,99.286333 +Enteropogon yunnanensis,27.90539,99.62913 +Eragrostis atrovirens,30,99.1 +Eragrostis brownii,27.75,118.03 +Eragrostis cilianensis,36.245827,120.29478 +Eragrostis collina,42.19,123.71 +Eragrostis curvula,44.32,85.61 +Eragrostis ferruginea,33.96,112.03 +Eragrostis japonica,36.519977,103.891767 +Eragrostis ludingensis,29.91,102.23 +Eragrostis minor,32.99,106.93 +Eragrostis nigra,29.02,91.68 +Eragrostis nutans,25.25,110.05 +Eragrostis pilosa,43.753,128.163 +Eragrostis unioloides,23.240803,114.005797 +Eremopyrum orientale,41.76,86.15 +Eulalia hirtifolia,28.01,102.84 +Eulalia mollis,29.85,95.76 +Eulalia pallens,26.67,106.33 +Eulalia phaeothrix,23.932672,112.199131 +Eulalia quadrinervis,27.69,98.3008 +Eulalia siamensis var. latifolia,27.965,98.6525 +Eulalia siamensis var. siamensis,27.965,98.6525 +Eulalia speciosa,28.67,118.24 +Eulaliopsis binata,24.200284,108.140563 +Fargesia acuticontracta,35.86,104.2 +Fargesia adpressa,31.151088,103.16254 +Fargesia albocerea,35.86,104.2 +Fargesia angustissima,31.151088,103.16254 +Yushania brevipaniculata,28.66,97.46 +Fargesia canaliculata,31.151088,103.16254 +Fargesia communis,35.86,104.2 +Yushania confusa,29.39,110.16 +Fargesia contracta f. contracta,25.85,98.85 +Yushania crispata,27.93,101.28 +Fargesia declivis,35.86,104.2 +Fargesia dura,31.151088,103.16254 +Fargesia edulis,35.86,104.2 +Fargesia emaculata,31.151088,103.16254 +Fargesia extensa,31.151088,103.16254 +Yushania farcticaulis,35.86,104.2 +Fargesia ferax,30.05,101.96 +Fargesia fractiflexa,35.47,113.8 +Fargesia frigida,31.151088,103.16254 +Fargesia glabrifolia,31.151088,103.16254 +Fargesia gongshanensis,35.86,104.2 +Fargesia grossa,28,91.95 +Fargesia jiulongensis,29,101.5 +Fargesia longissima,31.151088,103.16254 +Fargesia lushuinensis,31.151088,103.16254 +Fargesia macclureana,29.63,94.36 +Fargesia melanostachys,35.86,104.2 +Fargesia nitida,28.66,97.46 +Fargesia orbiculata,35.86,104.2 +Fargesia papyrifera,35.86,104.2 +Fargesia pleniculmis,31.151088,103.16254 +Fargesia praecipua,35.86,104.2 +Fargesia robusta,31.151088,103.16254 +Fargesia sagittatinea,35.86,104.2 +Fargesia semiorbiculata,31.151088,103.16254 +Fargesia spathacea,29.63,94.36 +Fargesia sylvestris,31.151088,103.16254 +Yushania violascens,26.82,100.23 +Yushania weixiensis,25.88,99.37 +Fargesia yulongshanensis,29.7017,98.5256 +Fargesia yunnanensis,31.151088,103.16254 +Fargesia zayuensis,26.0189,98.6256 +Festuca alatavica,42.6,85.5 +Festuca amblyodes,26.876096,100.229945 +Festuca batangensis,28.9208,100.284 +Festuca brachyphylla,38.9,75.2 +Festuca changduensis,32.080278,97.02 +Festuca chayuensis,30.267262,120.110333 +Festuca coelestis,30.47,91.09 +Festuca dahurica,46.52,89.47 +Festuca dolichantha,34.648889,100.610556 +Festuca eryuanensis,26.8656,99.9706 +Festuca extremiorientalis,32.15,97.045 +Festuca fascinata,27.303223,105.288398 +Festuca forrestii,31.87,99.12 +Festuca gigantea,40.02,116.21 +Festuca japonica,32.15,97.045 +Festuca kansuensis,36.584828,100.494247 +Festuca kashmiriana,31.47,79.8 +Festuca kirilovii,36.060255,120.360774 +Festuca kryloviana,46.52,89.47 +Festuca leptopogon,28.93,93.23 +Festuca litvinovii,42.78,128.51 +Festuca modesta,31.37,109.62 +Festuca nitidula,31.712092,88.118532 +Festuca ovina subsp. ovina,32.075556,97.065278 +Festuca ovina subsp. sphagnicola,37,80.8 +Festuca pamirica,31.712092,88.118532 +Festuca parvigluma,36.060255,120.360774 +Festuca rubra subsp. arctica,39.85,114.57 +Festuca rubra subsp. clarkei,28.0803,101.149 +Festuca rubra subsp. rubra,38.9,75.2 +Festuca scabriflora,29.63,94.36 +Festuca sinensis,33.727778,99.350278 +Festuca stapfi,36.060255,120.360774 +Festuca tristis,31.82,98.58 +Festuca undata,36.68,101.27 +Festuca valesiaca subsp. pseudovina,44.97,81.03 +Festuca valesiaca subsp. sulcata,47.7,86.85 +Festuca valesiaca subsp. valesiaca,25.670153,99.958012 +Festuca weixiensis,26.876096,100.229945 +Festuca yunnanensis var. villosa,35.86,104.2 +Festuca yunnanensis var. yunnanensis,35.86,104.2 +Garnotia acutigluma,35.86,104.2 +Garnotia stricta,23.65,113.67 +Glyceria maxima,36.58,109.48 +Glyceria tonglensis,35.86,104.2 +Harpachne harpachnoides,26.655322,102.244617 +Helictotrichon altius,25.722146,101.324329 +Helictotrichon delavayi,35.86,104.2 +Helictotrichon hookeri,27.82308,99.706013 +Helictotrichon junghuhnii,25.445997,98.710609 +Helictotrichon leianthum,30.066708,102.758313 +Helictotrichon ludingicum,28.491111,98.939722 +Helictotrichon markangicum,28.491111,98.939722 +Helictotrichon schmidii,25.584234,100.222124 +Helictotrichon tibeticum,34.5942,99.8392 +Hemarthria sibirica,40.02,116.21 +Heteropogon contortus,28.3,102.41 +Himalayacalamus collaris,28.17,85.98 +Hordeum agriocrithon,40.02,116.21 +Hordeum bogdanii,42.942326,89.185928 +Hordeum brevisubulatum subsp. turkestanicum,39.71,75.25 +Hordeum duthiei,30.908918,102.889638 +Hordeum innermongolicum,38.073254,104.69114 +Hordeum lagunculiforme,36.05,101.43 +Hordeum roshevitzii,46.06,122.6 +Hordeum spontaneum var. ischnatherum,35.2,113.8 +Hordeum spontaneum var. proskowetzii,35.2,113.8 +Hordeum spontaneum var. spontaneum,35.2,113.8 +Hymenachne amplexicaulis,23.9022,106.618742 +Hymenachne assamica,24.175587,110.235565 +Hystrix duthie,35.86,104.2 +Ichnanthus pallens,23.311469,114.008339 +Imperata cylindrica,39.36,119 +Indocalamus longiauritus var. longiauritus,33.156784,107.333733 +Isachne albens,26.43,110.85 +Isachne clarkei,24.9222,98.6328 +Isachne globosa,24.983333,112.833333 +Isachne himalaica,28.66,97.46 +Isachne scabrosa,29.32,95.33 +Isachne sikkimensis,24.8285,98.7678 +Ischaemum rugosum,26.72,117.47 +Kengyilia grandiglumis,32.9272,97.2667 +Kengyilia hirsuta var. hirsuta,38.78,101.08 +Kengyilia hirsuta var. variabilis,33,97.02 +Kengyilia kaschgarica,39.47,75.98 +Kengyilia kokonorica,28.85,85.29 +Kengyilia laxiflora,32.7464,97.3472 +Kengyilia melanthera var. melanthera,30.93,88.7 +Kengyilia melanthera var. tahopaica,30.93,88.7 +Kengyilia mutica,34,102.07 +Kengyilia rigidula,31.622937,99.992666 +Kengyilia stenachyra,33.57587,102.961829 +Kengyilia thoroldiana var. thoroldiana,35.2683,98.9975 +Kengyilia tyoroldiana var. laxiuscula,39.02,88.17 +Koeleria batalinii,38.9,75.2 +Koeleria cristata var. cristata,35.551667,101.089444 +Koeleria cristata var. nepalensis,35.551667,101.089444 +Koeleria cristata var. poiformis,35.5517,101.089 +Koeleria litvinowii var. litvinowii,32.1431,97.2706 +Koeleria litvinowii var. tafelii,32.1431,97.2706 +Leersia japonica,39.02,115.55 +Leptochloa panicea,22.600586,114.034383 +Leucopoa olgae,41.27,80.23 +Leymus angustus,44.18333,86.9 +Leymus chinensis,40,116.35 +Leymus crassiusculus,39.43,111.5 +Leymus flexus,35.58,99.98 +Leymus leptostachyus,18.63,109.7 +Leymus mundus,31.48,79.8 +Leymus ovatus,39.47,75.98 +Leymus paboanus var. paboanus,32.2808,96.4631 +Leymus paboanus var. viviparus,32.2808,96.4631 +Leymus pseudoracemosus,36.45,96.46 +Leymus pishanica,35.934366,101.477183 +Leymus ramosus,30.29234,102.872639 +Leymus ruoqiangensis,36.42,94.9 +Leymus secalinus var. secalinus,40.93167,108.54389 +Leymus secalinus var. pubescens,40.93167,108.54389 +Leymus secalinus var. qinghaicus,40.93167,108.54389 +Leymus spiniformis,25.88099,110.494316 +Littledalea major,33.1272,96.7181 +Littledalea przevalskyi,29.29,87.23 +Littledalea racemosa,33.1272,96.7181 +Littledalea tibetica,35.2617,98.9825 +Lolium persicum,38.62,103.09 +Lolium temulentum,31.8,115.4 +Melica dawuica,31.712092,88.118532 +Melica kozlovii,37.36,97.36 +Melica longiligulata,31.82,98.58 +Melica onoei,36.252064,117.100784 +Melica persica subsp. canescens,31.47,79.8 +Melica przewalskyi,32.9911,97.3481 +Melica radula,34.56,110.09 +Melica scaberrima,25.827253,100.575146 +Melica scabrosa,33.52,107.99 +Melica schuetzeana,31.712092,88.118532 +Melica secunda,32.77,96.67 +Melica subflava,34.48,100.23 +Melica tangutorum,30,99.1 +Melica taylori,31.712092,88.118532 +Melica taylorii,31.712092,88.118532 +Melica virgata,39,112.3 +Melocalamus elevatissimus,22.391288,106.817838 +Microchloa fibrosa,26.56023,100.17643 +Microchloa indica var. indica,27.422643,101.509187 +Microchloa indica var. kunthii,27.422643,101.509187 +Microstegium ciliatum,21.475834,101.56752 +Microstegium nudum,25.012526,102.700013 +Microstegium vimineum,41.832,126.945 +Milium effusum,26.453601,99.416689 +Miscanthus aristidus,30.8615,117.7375 +Miscanthus corymbosus,29.63,94.36 +Miscanthus nepalensis,29.22787,102.359458 +Miscanthus nudipes,30.066708,102.758313 +Miscanthus ramosus,29.87,95.77 +Miscanthus taylorii,31.712092,88.118532 +Miscanthus tibeticus,29.85,95.76 +Miscanthus wardii,27.099444,98.872222 +Mnesithea striata var. pubescens,27.9,102.24 +Muhlenbergia himalayensis,26.56023,100.17643 +Muhlenbergia hueglii,43.85,127.637 +Neomicrocalamus microphyllus,29.32,95.33 +Neomicrocalamus prainii,35.86,104.2 +Neyraudia reynaudiana,25.664325,102.650987 +Oplismenus compositus var. compositus,25.13,115.39 +Oplismenus compositus var. owatarii,23.519195,110.462487 +Oplismenus undulatifolius,26.466667,111.316667 +Orinus kokonorica,36.5875,100.491 +Orinus thoroldii,30.166667,97.333333 +Orinus tibetica,36.5875,100.491 +Orthoraphium roylei,25.9739,98.685 +Panicum bisulcatum,30.498353,118.59063 +Panicum elegantissimum,29.39,110.16 +Panicum khasianum,25.303923,98.774111 +Panicum maximum,23.12,113.34 +Panicum sumatrense,35.920793,120.196865 +Paspalum delavayi,26.72,117.47 +Paspalum scrobiculatum var. orbiculare,27.7,103.25 +Paspalum thunbergii,30.27292,120.19164 +Pennisetum alopecuroides,35.86,104.2 +Pennisetum flaccidum var. flaccidum,37.107884,79.929056 +Pennisetum flaccidum var. qinghaiensis,37.107884,79.929056 +Pennisetum hohenackeri,41.9875,101.011667 +Pennisetum jinchuanense,30.91,102.54 +Pennisetum lanatum,28.85,85.29 +Pennisetum longissimum,33.15355,106.67304 +Pennisetum shaanxiense,26.56023,100.17643 +Perotis hordeiformis,33.48,112.42 +Phaenosperma globosa,32.536693,107.894969 +Phaenosperma ludingensis,29.935446,122.381012 +Phalaris arundinacea,30.37,119.94 +Phleum alpinum,35.86,104.2 +Phleum paniculatum,25.25,110.05 +Phleum pratense,33.97,106.77 +Phragmites australis,46.35,122.93 +Phragmites karka var. karka,29.65,104.06 +Phragmites karka var. maowenensis,29.65,104.06 +Phragmites karka var. muliensis,29.65,104.06 +Phragmites karka var. nanpingensis,29.65,104.06 +Phragmites karka var. oligostachys,29.65,104.06 +Phragmites karka var. orinosa,29.65,104.06 +Phragmites karka var. xiaojinensis,29.65,104.06 +Phyllostachys arcana,32.05,118.79 +Phyllostachys heteroclada,29.39,110.16 +Phyllostachys nidularia,27.58027,115.76666 +Phyllostachys reticulata,27.740736,98.66582 +Piptatherum acuta,28.53388,98.87666 +Piptatherum aequiglume var. aequiglume,25.03,102.67 +Piptatherum dajingensis,30.910001,102.903564 +Piptatherum fasciculata,27.92,101.27 +Piptatherum gracile,28.5539,98.8024 +Piptatherum grandispiculum,28.53388,98.87666 +Piptatherum henryi,28.53388,98.87666 +Piptatherum hilariae,29.63,94.36 +Piptatherum laterale,28.57,91.44 +Piptatherum munroi,28.53388,98.87666 +Piptatherum tibeticum var. psilolepis,31.13,97.18 +Piptatherum tibeticum var. tibeticum,32.67,101.11 +Poa acroleuca,36.519977,103.891767 +Poa albertii subsp. albertii,27.82308,99.706013 +Poa albertii subsp. kunlunensis,37.33,100.13 +Poa albertii subsp. lahulensis,29.77,84.03 +Poa albertii subsp. poophagorum,27.48,88.9 +Poa alpina,28.596944,99.867778 +Poa alta,36.519977,103.891767 +Poa angustifolia subsp. laxuispicula,44.18333,86.9 +Poa annua,46.45,122.93 +Poa araratica subsp. araratica,27.82308,99.706013 +Poa araratica subsp. ianthina,27.82308,99.706013 +Poa araratica subsp. oligophylla,42.78,128.51 +Poa araratica subsp. psilolepis,36.519977,103.891767 +Poa arctica subsp. caespitans,39.75,116.13 +Poa asperifolia,36.519977,103.891767 +Poa attenuata var. attenuata,36.519977,103.891767 +Poa attenuata var. dahurica,36.519977,103.891767 +Poa attenuata var. vivipara,34.580833,99.450833 +Poa binodis,30.05,101.96 +Poa bomiensis,29.85,95.76 +Poa bulbosa var. bulbosa,43.92,81.33 +Poa dzongicola,29.08,92.25 +Poa faberi var. faberi,36.519977,103.891767 +Poa faberi var. longifolia,36.519977,103.891767 +Poa festucoides var. festucoides,29.99,100.26 +Poa festucoides var. kunlunensis,37.33,100.13 +Poa glauca subsp. altaica,34.9,79.4 +Poa glauca subsp. glauca,35.157691,108.861296 +Poa grandis,36.519977,103.891767 +Poa himalayana,35.86,104.2 +Poa hirtiglumis var. nimuana,32.83,91.92 +Poa hisauchii,35.86,104.2 +Poa hylobates,28.661276,97.466916 +Poa infirma,24.47,118.08 +Poa khasiana,35.86,104.2 +Poa lapponica subsp. acmocalyx,42.34,127.28 +Poa lapponica subsp. pilipes,36.519977,103.891767 +Poa lipskyi,36.519977,103.891767 +Poa lithiphila,38.073254,104.69114 +Poa litwinowiana,27.82308,99.706013 +Poa macroanthera,44.97,81.03 +Poa mairei,36.519977,103.891767 +Poa nemoraliformis,36.519977,103.891767 +Poa nemoralis,36.519977,103.891767 +Poa nepalensis var. nepalensis,25,102.75 +Poa nepalensis var. nipponica,35.157691,108.861296 +Poa nubigena,27.82308,99.706013 +Poa pagophila,29.0728,99.6756 +Poa palustris,34.05,111.04 +Poa parvissima,28.48,98.92 +Poa perennis,32.080278,97.02 +Poa polycolea,29.1031,99.6319 +Poa polyneuron,38.073254,104.69114 +Poa pratensis subsp. alpigena,36.519977,103.891767 +Poa pratensis subsp. angustifolia,44.18333,86.9 +Poa pratensis subsp. pratensis,36.519977,103.891767 +Poa pratensis subsp. pruinosa,36.519977,103.891767 +Poa pratensis subsp. staintonii,36.519977,103.891767 +Poa pratensis subsp. stenachyra,32.080556,97.007222 +Poa pseudo-palustris,48.77,121.82 +Poa qinghaiensis,36.519977,103.891767 +Poa rangkulensis,44.6,82.88 +Poa sibirica,36.519977,103.891767 +Poa sichotensis,36.519977,103.891767 +Poa sikkimensis,35.86,104.2 +Poa smirnowii subsp. mariae,25.045806,102.71 +Poa sphondylodes var. erikssonii,44.062555,113.856252 +Poa sphondylodes var. sphondylodes,36.519977,103.891767 +Poa sphondylodes var. subtrivialis,39,112.3 +Poa subfastiana,38.073254,104.69114 +Poa supina,43.81,87.6 +Poa szechuensis var. debilior,32,102.67 +Poa szechuensis var. rossbergiana,37.32,100.14 +Poa szechuensis var. szechuensis,27.482,99.8812 +Poa tangii,39,112.3 +Poa tibetica,33.1019,97.3031 +Poa trivialiformis,38.073254,104.69114 +Poa trivialis subsp. sylvicola,34.27,108.2 +Poa trivialis subsp. trivialis,34.27,108.2 +Poa urssulensis var. kanboensis,41.827587,123.416408 +Poa urssulensis var. urssulensis,31.82027,117.227258 +Poa versicolor subsp. orinosa,39.879848,114.630747 +Poa versicolor subsp. relaxa,29.89861,100.31833 +Poa versicolor subsp. stepposa,36.519977,103.891767 +Poa versicolor subsp. varia,35.69,105.05 +Poa versicolor subsp. versicolor,36.519977,103.891767 +Poa zhongdianensis,27.6873,101.224 +Pogonatherum crinitum,26.2688,117.6327 +Polypogon fugax,32.06,108.04 +Polypogon maritimus,26.64,118.18 +Polypogon monspeliensis,43.25,94.69 +Polypogon viridis,39.467607,75.986595 +Psammochloa villosa,38.28,109.73 +Psathyrostachys kronenburgii,47.31,130.28 +Pseudechinolaena polystachya,23.9,106.61 +Ptilagrostis concinna,27.2822,100.85195 +Ptilagrostis dichotoma,27.82308,99.706013 +Ptilagrostis junatovii,29.037008,100.298406 +Ptilagrostis luquensis,34.166667,102.416667 +Ptilagrostis mongholica,27.82308,99.706013 +Ptilagrostis pelliotii,46.17,85.75 +Puccinellia altaica,30.47,91.09 +Puccinellia arjinshanensis,38.24,101.96 +Puccinellia degeensis,31.8,98.58 +Puccinellia diffusa,35.58,99.98 +Puccinellia distans,38.24,101.96 +Puccinellia dolicholepis,34.92,98.18 +Puccinellia hackeliana,39.71,75.25 +Puccinellia hauptiana,38.24,101.96 +Puccinellia himalaica,34.633,98.217 +Puccinellia humilis,40.58,75.42 +Puccinellia kashmiriana,33.38,79.73 +Puccinellia leiolepis,36.8667,104.78333 +Puccinellia micrandra,38.18,100.25 +Puccinellia minuta,28.85,90.45 +Puccinellia multiflora,33.38,79.73 +Puccinellia nudiflora,32.3,84.06 +Puccinellia pamirica,32.3,84.06 +Puccinellia roborovskyi,32.49,80.09 +Puccinellia roshevitsiana,30.29,81.17 +Puccinellia schischkinii,37.36,97.36 +Puccinellia shuanghuensis,34.92,98.18 +Puccinellia stapfiana,30.93,88.7 +Puccinellia tenuiflora,35.551667,101.089444 +Puccinellia thomsonii,29.65,91.12 +Puccinellia tianschanica,46.52,89.47 +Racemobambos microphylla,27.73,98.67 +Roegneria alashanica var. elytrigioides,31.62,99.98 +Roegneria alatavicus,44.6,81.116667 +Roegneria altissima,35.86,104.2 +Roegneria anthosachnoides var. anthosachnoides,28.48611,98.911543 +Roegneria anthosachnoides var. scabrilemmatus,28.48611,98.911543 +Roegneria aristiglumis var. aristiglumis,39.879848,114.630747 +Roegneria aristiglumis var. hirsuta,39.879848,114.630747 +Roegneria aristiglumis var. leiantha,30.3,81.17 +Roegneria barbicalla var. barbicalla,37.28,114.51 +Roegneria batalinii,38.9,75.2 +Roegneria breviglumis var. breviglumis,30.031529,101.014427 +Roegneria breviglumis var. brevipes,34.13,95.8 +Roegneria caesifolius,30.066708,102.758313 +Roegneria calcicola,25.012526,102.700013 +Roegneria ciliaris,25.255089,110.050532 +Roegneria dolichathera,32.0944,97.2667 +Roegneria dura,32.3097,96.46 +Roegneria glaberrima,24.466667,113.833333 +Roegneria gmelinii,24.416667,111.516667 +Roegneria hondai,35.86,104.2 +Roegneria humilis,35.86,104.2 +Roegneria hybrida,33.26,104.23 +Roegneria jacquemontii,28.85,85.29 +Roegneria kamoji,27.218447,116.525727 +Roegneria lancangensis,29.1339,100.043 +Roegneria laxiflora,32.7464,97.3472 +Roegneria leiantha,26.12,99.95 +Roegneria leiotropis,29.037008,100.298406 +Roegneria longearistata var. canaliculata,24.95476,115.650136 +Roegneria markamensis,29.690001,98.599998 +Roegneria minor,37.286713,114.512129 +Roegneria multiculmis,34.882085,106.812269 +Roegneria nutans,32.9911,97.3481 +Roegneria parvigluma,32.071667,97.045278 +Roegneria pendulina var. pendulina,36.6,113.72 +Roegneria pendulina var. pubinodis,36.83,101.95 +Roegneria pubicaulis,26.684218,100.750798 +Roegneria purpurascens,31.39,100.67 +Roegneria schrenkiana,28.36,87.76 +Roegneria sinica,32.927222,97.266667 +Roegneria stricta,32.637983,103.59895 +Roegneria sylvatica,24.466667,113.833333 +Roegneria thoroldiana var. laxiuscula,39.02,88.17 +Roegneria thoroldiana var. thoroldiana,34.3108,99.1814 +Roegneria tianschanica,30.222233,110.871148 +Roegneria tibetica,35.86,104.2 +Roegneria trichospicula,35.86,104.2 +Roegneria varia,28.48611,98.911543 +Rottboellia cochinchinensis,24.47,118.08 +Saccharum arundinaceum,24.47,118.08 +Saccharum longesetosum,29.32,95.33 +Saccharum ravennae,42.6,85.5 +Saccharum rufipilum,26.534082,100.42293 +Saccharum spontaneum,24.780744,112.377423 +Sacciolepis indica,30.19,119.36 +Sacciolepis interrupta,22.608826,114.027588 +Sacciolepis myosuroides,35.86,104.2 +Schismus arabicus,43.81,87.6 +Schismus barbatus,43.81,87.6 +Schizachne hengduanense,29.037008,100.298406 +Schizachne purpurascens subsp. callosa,42.78,128.51 +Schizachyrium delavayi,26.5,99.983333 +Schizachyrium sanguineum,29.65,91.12 +Setaria forbesiana,27.905,98.6594 +Setaria glauca,29.78,118.18 +Setaria intermedia,29.65,91.14 +Setaria pallidifusca,23.98,117.33 +Setaria palmifolia,35.86,104.2 +Setaria plicata,21.957355,100.452547 +Setaria viridis subsp. pycnocoma,31.95,108.67 +Setaria viridis subsp. viridis,34.25,108.86667 +Setaria yunnanensis,27.7703,98.6542 +Sinochasea trigyna,30.14136,101.865706 +Sorghum nitidum,18.249731,109.507051 +Sorghum propinquum,18.626309,109.700342 +Spodiopogon cotulifer,30.57752,118.850798 +Spodiopogon ludingensis,36.351,118.037 +Spodiopogon monostachys,36.351,118.037 +Spodiopogon sibiricus var. grandiflorus,36.351,118.037 +Spodiopogon sibiricus var. sibiricus,36.351,118.037 +Spodiopogon tainanensis,29.716667,98.866667 +Sporobolus diandrus,25.43,119 +Sporobolus fertilis,22.525953,114.053475 +Stephanachne monandra,30.93,88.7 +Stephanachne nigrescens,29.037008,100.298406 +Stephanachne pappophorea,36.29779,98.087182 +Stipa aliena,31.17,96.17 +Stipa baicalensis,41.123176,85.25102 +Stipa breviflora,41.84,110.23 +Stipa bungeana,34.683333,100.683333 +Stipa capillacea var. capillacea,32.094444,97.266667 +Stipa capillacea var. parviflora,32.094444,97.266667 +Stipa capillata,0,0 +Stipa caucasica subsp. caucasica,0,0 +Stipa grandis,0,0 +Stipa himalaica,0,0 +Stipa orientalis,0,0 +Stipa penicillata var. hirsuta,36.4,99.95 +Stipa penicillata var. penicillata,36.4,99.95 +Stipa przewalskyi,34.882085,106.812269 +Stipa purpurea,30.72,81.36 +Stipa regeliana,31.883333,96.533333 +Stipa richteriana,30.05,96.91 +Stipa roborowskyi,30.48,81.17 +Stipa sareptana var. krylovii,38.259716,99.628454 +Stipa subsessiliflora,27.82308,99.706013 +Stipa tianschanica var. gobica,36.63,101.2 +Stipa tianschanica var. tianschanica,42.81,112.61 +Tenacistachya sichuanensis,27.9099,99.6286 +Thamnocalamus spathiflorus var. spathiflorus,27.48,88.9 +Themeda anathera,25.012526,102.700013 +Themeda caudata,25.6,115.78 +Themeda hookeri,30,99.1 +Themeda minor,28.66,97.46 +Themeda triandra,25.2583,98.8456 +Themeda villosa,24.75,103.167 +Thysanolaena latifolia,21.68,101.31 +Tragus berteronianus,38.86,115.47 +Tragus mongolorum,39.37,109.74 +Trikeraia hookeri var. hookeri,32.2917,96.5333 +Trikeraia hookeri var. ramosa,32.2917,96.5333 +Trikeraia pappiformis,31.084,103.267 +Tripogon chinensis,36.214544,120.596158 +Tripogon filiformis,24.7167,103.417 +Tripogon purpurascens,30.05,96.91 +Tripogon sichuanicus,30.05,101.96 +Tripogon trifidus,27.740736,98.66582 +Trisetum aeneum,31.8,98.58 +Trisetum agrostideum,46.52,89.47 +Trisetum altaicum,28.66,97.46 +Trisetum bifidum,44.314,131.053 +Trisetum clarkei,30.47,91.09 +Trisetum kangdingense,30.05,101.97 +Trisetum micans,28.93,92.22 +Trisetum niglangensis,32.675,103.838 +Trisetum scitulum,32.26,100.97 +Trisetum sibircum,41.93,117.75 +Trisetum spicatum subsp. alaskanum,32.978959,98.1029 +Trisetum spicatum subsp. mongolicum,29.68,89.09 +Trisetum spicatum subsp. spicatum,29.07,93.93 +Trisetum spicatum subsp. tibeticum,31.45,85.15 +Trisetum spicatum subsp. virescens,43.22,81.83 +Urochloa reptans,22.602271,114.034952 +Vulpia myuros,30.57,114.3 +Yushania yadongensis,25.52022,103.07467 +Ceratophyllum demersum,30.41,119.98 +Euptelea pleiospermum,30.368117,102.81464 +Chelidonium majus,38.91,111.84 +Corydalis acropteryx,32.58333,103.83333 +Corydalis adiantifolia,36.45,76.97 +Corydalis adoxifolia,29.037008,100.298406 +Corydalis adunca,32.918333,97.3275 +Corydalis appendiculata,29.000343,101.507299 +Corydalis atuntsuensis,29.7108,98.0025 +Corydalis balsamiflora,30.066708,102.758313 +Corydalis barbisepala,31.7061,102.314 +Corydalis benecincta,27.3769,100.06 +Corydalis bijiangensis,28.8754,93.113 +Corydalis bimaculata,28.35138,98.78611 +Corydalis binderae subsp. binderae,32.58333,103.83333 +Corydalis brevirostrata subsp. tibetica,32.995,97.2483 +Corydalis brunneovaginata,30.91,102.54 +Corydalis bulbifera,29.7,98 +Corydalis bulleyana,27.928607,101.279419 +Corydalis calcicola,28.5858,99.8372 +Corydalis cashmeriana var. cashmeriana,29.63,94.4 +Corydalis casimiriana subsp. brachycarpa,28.3,90.85 +Corydalis cavei,28.17,85.98 +Corydalis chamdoensis,31.13,97.18 +Corydalis cheirifolia,25.827253,100.575146 +Corydalis chrysosphaera,30.47,91.09 +Corydalis conspersa,32.573889,97.210556 +Corydalis cornuta,28.85,85.3 +Corydalis corymbosa,28.5733,99.8117 +Corydalis crispa subsp. crispa,31.712092,88.118532 +Corydalis crispa subsp. laeviangula,28.85,85.3 +Corydalis crista-galli var. crista-galli,33.376944,100.29 +Corydalis crista-galli var. pseudoflaccidus,33.376944,100.29 +Corydalis curviflora var. curviflora,29.7336,94.7264 +Corydalis curviflora var. rothornii,29.7336,94.7264 +Corydalis cytisiflora subsp. cytisiflora,32.58333,103.83333 +Corydalis cytisiflora subsp. minuticristata,32.63,103.59 +Corydalis cytisiflora subsp. pseudosmithii,34.58,103.5 +Corydalis dajingensis,30.910001,102.903564 +Corydalis dasyptera,34.6489,100.611 +Corydalis davidii,28.6819,101.58 +Corydalis degensis,31.8,98.58 +Corydalis delavayi,28.385,98.78583 +Corydalis delphinioides,35.86,104.2 +Corydalis densispica,35.86,104.2 +Corydalis dorjii,29.6823,89.0992 +Corydalis dubia,31.712092,88.118532 +Corydalis ecristata,35.86,104.2 +Corydalis edulis,32.055645,118.797741 +Corydalis elata subsp. elata,31.1228,97.0233 +Corydalis ellipticarpa,30.99903,102.364372 +Corydalis eugeniae,30.031529,101.014427 +Corydalis filisecta,29.87,95.77 +Corydalis flaccida,35.86,104.2 +Corydalis foetida,30.368117,102.81464 +Corydalis franchetiana,27.448837,99.823051 +Corydalis glaucescens,43.42,83.26 +Corydalis glycyphyllos,30.05,101.96 +Corydalis govaniana,28.416667,97.916667 +Corydalis gracillima,35.86,104.2 +Corydalis grandiflora,30.88,101.88 +Corydalis hamata,29.58,98.15 +Corydalis hebephylla var. hebephylla,30.91,102.54 +Corydalis hemidicentra,28.48611,98.911543 +Corydalis hendersonii var. altocristata,30.65,93.25 +Corydalis hendersonii var. hendersonii,42.6,85.5 +Corydalis hepaticifolia,28.51833,98.94777 +Corydalis heterocentra,38.073254,104.69114 +Corydalis hookeri,29.6,91.15 +Corydalis humicola,28.54,102.17 +Corydalis inopinata,31.712092,88.118532 +Corydalis jigmei,28.549857,92.857711 +Corydalis juncea,28.53,85.27 +Corydalis kingdonis,31.712092,88.118532 +Corydalis kingii,29.14,92.59 +Corydalis kokiana,29.1031,99.6319 +Corydalis laelia,27.48,88.9 +Corydalis lathyrophylla,30.99833,101.76889 +Corydalis latiflora,28.55,85.3 +Corydalis latiloba var. tibetica,31.5,98.22 +Corydalis laucheana,30.05389,101.95667 +Corydalis lhasaensis,29.73,90.98 +Corydalis lhorongensis,31.0767,96.9447 +Corydalis linarioides,36.92,101.32 +Corydalis linstowiana,29.914155,102.234618 +Corydalis livida var. denticulatocristata,34.716667,99.686944 +Corydalis livida var. livida,38.18,100.25 +Corydalis longibracteata,28.262715,103.571742 +Corydalis longipes,29.22,94.22 +Corydalis lopinensis,27.177166,99.28717 +Corydalis ludlowii,31.712092,88.118532 +Corydalis lupinoides,29.215697,94.213461 +Corydalis mayae,28.233333,98.666667 +Corydalis meifolia var. meifolia,28.17,85.98 +Corydalis meifolia var. sikkimensis,28.17,85.98 +Corydalis melanochlora,28.479722,98.948611 +Corydalis minutiflora,28.93,99.79 +Corydalis mira,37.62,78.28 +Corydalis moorcroftiana,31.47,79.8 +Corydalis mucronifera,35.57,94.02 +Corydalis muliensis,27.928607,101.279419 +Corydalis nemoralis,28.661276,97.466916 +Corydalis nigroapiculata,32.573889,97.210556 +Corydalis oligosperma,28.661276,97.466916 +Corydalis ophiocarpa,35.86,104.2 +Corydalis oxypetala subsp. balfouriana,30.055305,101.96483 +Corydalis oxypetala subsp. oxypetala,25.584234,100.222124 +Corydalis pachypoda,30.1589,97.3156 +Corydalis petrophila,35.86,104.2 +Corydalis polygalina,30.28,91.48 +Corydalis polyphylla,35.86,104.2 +Corydalis porphyrantha,35.86,104.2 +Corydalis potaninii,34.04,104.39 +Corydalis prattii,36.519977,103.891767 +Corydalis pseudoadoxa,35.86,104.2 +Corydalis pseudobarbisepala,30.99,102.36 +Corydalis pseudocristata,29.496119,103.398589 +Corydalis pseudodrakeana,31.712092,88.118532 +Corydalis pseudofluminicola,29.2189,101.516 +Corydalis pseudoimpatiens,34.43808,104.036837 +Corydalis pseudojuncea,28.17,85.98 +Corydalis pterygopetala,35.86,104.2 +Corydalis pubicaulis,29.63,94.36 +Corydalis pygmaea,29,93.98 +Corydalis quantmeyeriana,32.58333,103.83333 +Corydalis quinquefoliolata,31.712092,88.118532 +Corydalis retingensis,0,0 +Corydalis rheinbabeniana,35.36,103.7 +Corydalis scaberula,28.397131,99.444946 +Corydalis sherriffii,31.712092,88.118532 +Corydalis spathulata,36.52,103.89167 +Corydalis stracheyi var. ecristata,35.86,104.2 +Corydalis stracheyi var. stracheyi,28.51833,98.94777 +Corydalis straminea,34.648889,100.610556 +Corydalis stricta,35.77,94.33 +Corydalis temolana,28.48611,98.911543 +Corydalis tenuicalcarata var. tenuicalcarata,31.3411,97.9297 +Corydalis thyrsiflora,29.14,92.59 +Corydalis tianzhuensis,34.5808,99.4508 +Corydalis tibetoalpina,38.073254,104.69114 +Corydalis tibeto-oppositifolia,28,91.95 +Corydalis tongolensis,29.1031,99.6319 +Corydalis trachycarpa,35.5,99.8 +Corydalis trifoliata,26.901731,98.869207 +Corydalis tsayulensis,28.93,99.79 +Corydalis urbaniana,30.91,102.54 +Corydalis wuzhengyiana,30.05,96.92 +Corydalis yargongensis,31.80612,98.580912 +Corydalis yunnanensis var. megalantha,35.86,104.2 +Corydalis yunnanensis var. yunnanensis,35.86,104.2 +Corydalis zadoiensis,29.7108,98.0025 +Dactylicapnos lichiangensis,27.6306,98.6594 +Dactylicapnos roylei,35.86,104.2 +Dactylicapnos scandens,24.8308,98.7678 +Dactylicapnos torulosa,27.6319,98.6575 +Dicentra spectabilis,40.64,116.58 +Dicranostigma lactucoides,28.608608,85.260186 +Dicranostigma leptopodum,29.2236,90.6319 +Dicranostigma platycarpum,24.615701,100.709787 +Esmeralda bella,21.97,100.45 +Hypecoum erectum,35.026368,111.007319 +Hypecoum leptocarpum,27.82308,99.706013 +Ichtyoselmis macrantha,29.576493,103.278325 +Meconopsis aculeata,28.65,87.12 +Meconopsis argemonantha,31.712092,88.118532 +Meconopsis barbiseta,29.3342,101.499 +Meconopsis betonicifolia,29.63,94.36 +Meconopsis chelidoniifolia,28.9406,102.124 +Meconopsis concinna,27.82308,99.706013 +Meconopsis delavayi,27.076711,100.214946 +Meconopsis discigera,28.65,87.12 +Meconopsis florindae,30.0058,93.9231 +Meconopsis forrestii,25.7667,100.017 +Meconopsis gracilipes,28.17,85.98 +Meconopsis grandis,28.36,87.76 +Meconopsis horridula,27.79323,99.58532 +Meconopsis impedita,27.987222,98.473333 +Meconopsis integrifolia,30.911944,102.546111 +Meconopsis lancifolia,29,93.98 +Meconopsis lyrata,28.85,85.29 +Meconopsis paniculata,27.98,87.23 +Meconopsis pinnatifolia,28.85,85.3 +Meconopsis primulina,28.12,91.9 +Meconopsis pseudohorridula,31.48,103.58 +Meconopsis pseudovenusta,29.85,95.76 +Meconopsis punicea,34.5092,100.407 +Meconopsis quintuplinervia,35.0203,100.829 +Meconopsis racemosa var. racemosa,30.05,96.91 +Meconopsis racemosa var. spinulifera,32.63,103.6 +Meconopsis simplicifolia,27.98,87.23 +Meconopsis smithiana,35.86,104.2 +Meconopsis speciosa,35.86,104.2 +Meconopsis superba,30.991022,101.266139 +Meconopsis torquata,29.766667,90.783333 +Meconopsis venusta,26.876096,100.229945 +Meconopsis violacea,28.85,85.3 +Meconopsis zangnanensis,28,91.95 +Papaver canescens,43.15,81.12 +Papaver nudicaule,39.83,116.26 +Papaver rhoeas,36.07,103.75 +Papaver somniferum,29.85,95.76 +Circaeaster agrestis,30.02312,94.233947 +Decaisnea insignis,29.5,110.333333 +Holboellia angustifolia subsp. angustifolia,29.9906,95.3197 +Holboellia latifolia var. latifolia,35.86,104.2 +Holboellia medogensis,29.326875,95.328655 +Stauntonia libera,31.084,103.267 +Cissampelos pareira var. hirsuta,23.146851,99.246047 +Cocculus laurifolius,26.466667,111.316667 +Cocculus orbiculatus var. mollis,25.012526,102.700013 +Cocculus orbiculatus var. orbiculatum,36.06667,120.33334 +Cyclea racemosa,35.86,104.2 +Parabaena sagittata,29.32,95.33 +Sinomenium acutum,27.240198,114.113564 +Stephania brachyandra,35.86,104.2 +Stephania brevipedunculata,28.17,85.98 +Stephania delavayi,35.86,104.2 +Stephania epigaea,24.9333,102.483 +Stephania glabra,28.85,85.29 +Stephania glandulifera,28.17,85.98 +Stephania gracilenta,28.17,85.98 +Stephania japonica var. discolor,26.752972,98.888885 +Stephania subpeltata,29.85,95.76 +Tinospora sinensis,25.25,106.17 +Berberis aggregata,29.1031,99.6319 +Berberis agricola,24.580446,99.92854 +Berberis ambrozyana,30.979541,101.125234 +Berberis amoena,26.876096,100.229945 +Berberis amurensis,43.76,128.456 +Berberis angulosa,28.08,87.25 +Berberis approximata,28.8675,99.2458 +Berberis asmyana,30,99.1 +Berberis brachypoda,38.46,111.12 +Berberis bracteata,31.5697,98.3086 +Berberis buchananii,31.712092,88.118532 +Berberis calcipratorum,25.584234,100.222124 +Berberis calliantha,35.86,104.2 +Berberis campylotropa,30.055305,101.96483 +Berberis chrysosphaera,35.86,104.2 +Berberis circumserrata,29.000343,101.507299 +Berberis concinna,32,90 +Berberis concolor,28.48611,98.911543 +Berberis dasystachya,31.331599,110.783718 +Berberis dawoensis,35.86,104.2 +Berberis delavayi,26.876096,100.229945 +Berberis diaphana,31.73,98.57 +Berberis dictyoneura,30.979541,101.125234 +Berberis dictyophylla var. campylogyna,28.48,98.92 +Berberis dictyophylla var. dictyophylla,27.475833,99.884167 +Berberis dictyophylla var. epruinosa,30.37,91.47 +Berberis dubia,32.075,97.0386 +Berberis tischleri,29.2739,98.6728 +Berberis erythroclada var. erythroclada,29,92 +Berberis erythroclada var. trulongensis,29,92 +Berberis everestiana,29.968,94.254 +Berberis fallax,24.580446,99.92854 +Berberis feddeana,31.824099,108.629497 +Berberis forrestii,27.079033,100.261009 +Berberis franchetiana,29.5652,94.5428 +Berberis francisci-ferdinandi,31.6467,98.3906 +Berberis jaeschkeana var. bimbilaica,31.712092,88.118532 +Berberis gagnepainii,33.392394,104.926525 +Berberis gilungensis,31.5072,97.3344 +Berberis griffithiana,28.661276,97.466916 +Berberis grodtmannia,27.928607,101.279419 +Berberis gyalaica var. gyalaica,28.66,97.46 +Berberis gyalaica var. minuta,29.63,94.36 +Berberis hemsleyana,31.712092,88.118532 +Berberis heteropoda,44.326389,85.619416 +Berberis hobsonii,28,91.95 +Berberis humidoumbrosa var. humidoumbrosa,39.71,75.25 +Berberis humidoumbrosa var. inornata,39.71,75.25 +Berberis hypericifolia,29.135556,100.1525 +Berberis ignorata,39.716667,121.75 +Berberis iliensis,43.810314,87.605163 +Berberis insignis,31.82,108.62 +Berberis jamesiana,36.519977,103.891767 +Berberis johannis,28.67,97.47 +Berberis kansuensis,34.25611,101.10083 +Berberis kartanica,28.85,85.29 +Berberis kaschgarica,39,74.43 +Berberis kongboensis,28.7433,101.681 +Berberis leptodonta,28.856814,103.941689 +Berberis levis,35.86,104.2 +Berberis longispina,28.67,87.12 +Berberis ludlowii var. ludlowii,35.86,104.2 +Berberis mekongensis,32.2989,100.026 +Berberis minutiflora,26.876096,100.229945 +Berberis mouillacana,29.496119,103.398589 +Berberis muliensis var. atuntzeana,28.389722,98.7925 +Berberis muliensis var. muliensis,31.8131,99.7178 +Berberis multicaulis,28.67,87.12 +Berberis multiserrata,30.1711,97.3336 +Berberis nullinervis,29.68,89.1 +Berberis obovatifolia,18.800278,110.396667 +Berberis orthobotrys var. rupestris,41.71,82.96 +Berberis papillifera,25.8833,100.017 +Berberis parapruinosa,28.17,85.98 +Berberis platyphylla,28.48611,98.911543 +Berberis poiretii,41.827587,123.416408 +Berberis polyantha,31.7781,101.324 +Berberis potaninii,31.68115,103.853481 +Berberis pruinosa var. barresiana,25.584234,100.222124 +Berberis pruinosa var. pruinosa,35.86,104.2 +Berberis pulangensis,30.3,81.17 +Berberis purdomii,36.519977,103.891767 +Berberis racemulosa,39.71,75.25 +Berberis sabulicola,40.133102,116.320516 +Berberis sanguinea,31.084,103.267 +Berberis sherriffii,31.712092,88.118532 +Berberis sikkimensis,28.85,85.29 +Berberis taronensis,35.86,104.2 +Berberis taylorii,29.333333,94.283333 +Berberis temolaica,29.62,94.68 +Berberis trichiata,29.68,98.6 +Berberis tsangpoensis,31.68115,103.853481 +Berberis tsarica,33.38,79.73 +Berberis tsarongensis,25.8667,100.033 +Berberis ulicina,42.6,85.5 +Berberis umbratica,29.6719,94.719 +Berberis vernae,30.979541,101.125234 +Berberis verruculosa,33.392394,104.926525 +Berberis vinifera,28.17,85.98 +Berberis virescens,34.6833,100.683 +Berberis wilsoniae var. guhtzunica,26.876096,100.229945 +Berberis wilsoniae var. wilsoniae,35.86,104.2 +Berberis xanthophlaea,31.712092,88.118532 +Berberis yunnanensis,35.86,104.2 +Berberis zayulana,31.712092,88.118532 +Caulophyllum robustum,43.852,127.679 +Diphylleia sinensis,30.663372,113.16653 +Dysosma aurantiocaulis,35.86,104.2 +Dysosma delavayi,35.86,104.2 +Dysosma tsayuensis,29.8186,94.7172 +Epimedium brevicornu,33.392394,104.926525 +Epimedium davidii,30.368117,102.81464 +Epimedium platypetalum,29.914155,102.234618 +Mahonia bealei,29.78,118.18 +Mahonia bracteolata,25.012526,102.700013 +Mahonia calamicaulis subsp. calamicaulis,29.32,95.33 +Mahonia calamicaulis subsp. kingdon-wardina,29.32,95.33 +Mahonia monyulensis,31.712092,88.118532 +Mahonia napaulensis,28.66,97.46 +Mahonia polyodonta,35.86,104.2 +Mahonia taronensis,29.32,95.33 +Sinopodophyllum hexandrum,35.20256,102.521732 +Aconitum abietetorum,27.92,101.27 +Aconitum acutiusculum var. acutiusculum,30.63,93.2 +Aconitum acutiusculum var. aureopilosum,28.48,98.92 +Aconitum alboflavidum,28.48611,98.911543 +Aconitum alpinonepalense,28.17,85.98 +Aconitum brachypodum var. brachypodum,27.82308,99.706013 +Aconitum brachypodum var. laxiflorum,27.82308,99.706013 +Aconitum bracteolatum,24.58669,98.689166 +Aconitum bracteolosum,27.82308,99.706013 +Aconitum brevicalcaratum var. brevicalcaratum,26.876096,100.229945 +Aconitum brevicalcaratum var. parviflorum,26.876096,100.229945 +Aconitum brevilimbum,29.25,94.416667 +Aconitum brevipetalum,27.177166,99.28717 +Aconitum brunneum,31.4972,99.9925 +Aconitum campylorrhynchum,27.928607,101.279419 +Aconitum changianum,31.68,103.85 +Aconitum chasmanthum,33.32,105.6 +Aconitum chiachaense var. chiachaense,29.14,92.59 +Aconitum chiachaense var. glandulosum,29.14,92.59 +Aconitum chienningense var. chienningense,30.979541,101.125234 +Aconitum chienningense var. lasiocarpum,30.979541,101.125234 +Aconitum chilienshanicum,36.5,101.57 +Aconitum chrysotrichum,29.5169,100.272 +Aconitum chuianum,28.385,98.78583 +Aconitum chuosjiaense,28.385,98.78583 +Aconitum coriaceifolium,29.000343,101.507299 +Aconitum coriophyllum,28.48,98.92 +Aconitum crassicaule,27.740736,98.66582 +Aconitum crassiflorum,30.3117,100.296 +Aconitum creagromorphum,28,91.95 +Aconitum delavayi,32.902461,101.706651 +Aconitum dolichorhynchum,29.88,93.24 +Aconitum dolichostachyum,22.79,103.09 +Aconitum duclouxii,26.95,99.03 +Aconitum elliotii var. doshongense,29.9,94.87 +Aconitum elliotii var. elliotii,29.9,94.87 +Aconitum elliotii var. glabrescens,29.85,95.76 +Aconitum elliotii var. pilopetalum,29.85,95.76 +Aconitum elwesii,28.0408,85.9853 +Aconitum episcopale var. villosulipes,36.519977,103.891767 +Aconitum falciforme,29.91,102.23 +Aconitum fangianum,32.276875,102.845053 +Aconitum flavum,36.07,103.75 +Aconitum fletcheranum,29.6114,94.6542 +Aconitum forrestii var. albovillosum,27.92,101.27 +Aconitum forrestii var. forrestii,26.876096,100.229945 +Aconitum franchetii var. franchetii,31.08,103.26 +Aconitum franchetii var. geniculatum,25.869611,102.593464 +Aconitum gammiei,27.391,88.837 +Aconitum geniculatum var. humilius,28.6398,102.507677 +Aconitum georgei,25.6,100.23 +Aconitum gezaense,28.5939,99.8469 +Aconitum glabrisepalum,27.928607,101.279419 +Aconitum gymnandrum,32.637983,103.598949 +Aconitum habaense,28.93,99.79 +Aconitum hamatipetalum,27.740736,98.66582 +Aconitum handelianum var. handelianum,26.5,99.67 +Aconitum hemsleyanum var. circinatum,35.86,104.2 +Aconitum hemsleyanum var. elongatum,29.351675,102.678073 +Aconitum hemsleyanum var. hsiae,35.86,104.2 +Aconitum hemsleyanum var. lasianthum,35.86,104.2 +Aconitum hemsleyanum var. pilopetalum,35.86,104.2 +Aconitum hemsleyanum var. puberulum,35.86,104.2 +Aconitum hemsleyanum var. unguiculatum,26.876096,100.229945 +Aconitum hemsleyanum var. xizangense,31.712092,88.118532 +Aconitum henryi var. pilocarpum,31.73,111.15 +Aconitum incisofidum,27.928607,101.279419 +Aconitum iochanicum,35.86,104.2 +Aconitum jilongense,28.85,85.29 +Aconitum jiulongense,28.385,98.78583 +Aconitum kongboense var. kongboense,31.8064,99.4319 +Aconitum kongboense var. polycarpum,31.8064,99.4319 +Aconitum kongboense var. villosum,30.1614,100.559 +Aconitum kungshanense,35.86,104.2 +Aconitum laevicaule,27.82308,99.706013 +Aconitum legendrei,28.549809,102.177079 +Aconitum leiostachyum,32.276875,102.845053 +Aconitum leiwuqiense,31.22,96.6 +Aconitum lihsienense,28.385,98.78583 +Aconitum liljestrandii var. falcatum,31.899166,102.222451 +Aconitum liljestrandii var. liljestrandii,30.0403,101.838 +Aconitum lobulatum,27.93,101.28 +Aconitum longilobum,27.03,108.19 +Aconitum longipedicellatum,31.712092,88.118532 +Aconitum longipetiolatum,31.712092,88.118532 +Aconitum longiramosum,28.385,98.78583 +Aconitum ludlowii,28.91,89.6 +Aconitum luningense,28.54,102.17 +Aconitum maowenense,31.084,103.267 +Aconitum milinense,29.22,94.22 +Aconitum nagarum var. heterotrichum,28.66,97.46 +Aconitum nagarum var. nagarum,35.86,104.2 +Aconitum naviculare,29.73,90.98 +Aconitum nielamuense,28.17,85.98 +Aconitum nutantiflorum,29.22,94.22 +Aconitum ouvrardianum,35.86,104.2 +Aconitum pendulicarpum var. circinatum,35.86,104.2 +Aconitum pendulicarpum var. pendulicarpum,35.86,104.2 +Aconitum pendulum,35.57,99.52 +Aconitum phyllostegium var. phyllostegium,28.4,101.1 +Aconitum phyllostegium var. pilosum,28.4,101.1 +Aconitum piepunense var. piepunense,27.82308,99.706013 +Aconitum pilopetalum,29.85,95.76 +Aconitum polyanthum var. polyanthum,31.18,97.15 +Aconitum polyanthum var. puberulum,34.05,111.04 +Aconitum polycarpum,26.901731,98.869207 +Aconitum polyschistum,29.914155,102.234618 +Aconitum pomeense,29.85,95.76 +Aconitum potaninii,36.92,101.32 +Aconitum prominens,31.49,98.21 +Aconitum pseudobrunneum,30.2525,100.258 +Aconitum pseudodivaricatum,29.85,95.76 +Aconitum pseudogeniculatum,28.385,98.78583 +Aconitum pseudokongboense,29.88,93.24 +Aconitum pseudostapfianum,27.82308,99.706013 +Aconitum pulchellum var. hispidum,30.05,96.91 +Aconitum pulchellum var. pulchellum,30.05,96.91 +Aconitum pulchellum var. racemosum,28.932073,99.79929 +Aconitum pycnanthum,27.928607,101.279419 +Aconitum ramulosum,27.82308,99.706013 +Aconitum refracticarpum,28.385,98.78583 +Aconitum refractum,32.0803,97.02 +Aconitum richardsonianum var. pseudosessiliflorum,29.65,91.12 +Aconitum richardsonianum var. richardsonianum,29.65,91.12 +Aconitum rockii var. fengii,27.82308,99.706013 +Aconitum rockii var. rockii,27.82308,99.706013 +Aconitum scaposum var. hupehanum,31.68115,103.85348 +Aconitum secundiflorum,31.68115,103.853481 +Aconitum sessiliflorum,30.055305,101.96483 +Aconitum sinoaxillare,28.385,98.78583 +Aconitum sinomontanum var. pilocarpum,31.73,111.15 +Aconitum sinomontanum var. sinomontanum,27.25,112.683333 +Aconitum sinonapelloides var. sinonapelloides,27.177166,99.28717 +Aconitum sinonapelloides var. subulatum,27.177166,99.28717 +Aconitum sinonapelloides var. weisiense,27.177166,99.28717 +Aconitum souliei,35.86,104.2 +Aconitum spathulatum,26.56023,100.17643 +Aconitum spicatum,27.48,88.9 +Aconitum spiripetalum,30.2181,100.258 +Aconitum stapfianum,29.9,94.87 +Aconitum stramineiflorum,27.177166,99.28717 +Aconitum stylosoides,29.037008,100.298406 +Aconitum stylosum var. geniculatum,36.519977,103.891767 +Aconitum stylosum var. stylosum,36.519977,103.891767 +Aconitum sungpanense,33.768802,106.087707 +Aconitum tangense,31.87,99.12 +Aconitum tanguticum var. tanguticum,32.58333,103.83333 +Aconitum tanguticum var. trichocarpum,32.58333,103.83333 +Aconitum taronense,35.86,104.2 +Aconitum tatsienense var. divaricatum,29.914155,102.234618 +Aconitum tatsienense var. tatsienense,30.055305,101.96483 +Aconitum tenuicaule,28.48611,98.911543 +Aconitum tongolense,31.87,99.12 +Aconitum transsectum,24.976725,101.487417 +Aconitum tsaii var. puberulum,34.05,111.04 +Aconitum tsaii var. tsaii,35.86,104.2 +Aconitum validinerve,27.93,101.28 +Aconitum vilmorinianum var. patentipilum,26.634503,102.577962 +Aconitum wardii var. trisectum,26.666667,99.666667 +Aconitum wardii var. wardii,27.099444,98.872222 +Aconitum weixiense,27.177166,99.28717 +Aconitum xiangchengense,29.1239,99.9967 +Aconitum yachiangense,30.03,101.02 +Aconitum yangii var. villosulum,27.82308,99.706013 +Aconitum yangii var. yangii,27.82308,99.706013 +Aconitum yanyuanense,27.42,101.5 +Actaea asiatica,38.073254,104.69114 +Adonis aestivalis var. parviflora,44.31,86.31 +Adonis bobroviana,36.73,103.26 +Adonis coerulea,30.055305,101.96483 +Adonis davidii,28.94,102.1 +Adonis sutchuenensis,29.157849,107.099275 +Anemoclema glaucifolium,27.92,101.27 +Anemone baicalensis,47.051528,133.872194 +Anemone begoniifolia,29,107 +Anemone coelestina var. linearis,29.1381,99.3342 +Anemone davidii,27.63,98.59 +Anemone delavayi,35.86,104.2 +Anemone demissa var. demissa,35.86,104.2 +Anemone demissa var. major,27.83472,99.6925 +Anemone demissa var. villosissima,35.86,104.2 +Anemone demissa var. yunnanensis,35.86,104.2 +Anemone exigua,31.68115,103.85348 +Anemone flaccida,27.6261,98.5875 +Anemone gortschakowii,39.71,75.25 +Anemone griffithii,31.370137,109.629918 +Anemone hupehensis,35.86,104.2 +Anemone imbricata,34.580833,99.450833 +Anemone multilobulata,35.86,104.2 +Anemone nutantiflora,35.86,104.2 +Anemone obtusiloba subsp. leiophylla,27.740736,98.66582 +Anemone obtusiloba subsp. obtusiloba,34.707778,100.244167 +Anemone patula var. minor,30.368117,102.81464 +Anemone patula var. patula,30.368117,102.81464 +Anemone polycarpa,35.86,104.2 +Anemone prattii,30.066708,102.758313 +Anemone rivularis var. flore-minore,38.24,101.96 +Anemone rivularis var. rivularis,34.725278,100.719444 +Anemone robusta,28.48611,98.911543 +Anemone rupestris subsp. gelida,32.7833,103.2667 +Anemone rupestris subsp. rupestris,35.86,104.2 +Anemone rupicola,28.401049,99.451385 +Anemone scabriuscula,35.86,104.2 +Anemone smithiana,28.53,85.27 +Anemone subindivisa,26.876096,100.229945 +Anemone subpinnata,27.928607,101.279419 +Anemone tetrasepala,32.055645,118.797741 +Anemone tibetica,28.647167,98.610556 +Anemone tomentosa,28.1319,98.3006 +Anemone trullifolia var. coelestina,26.876096,100.229945 +Anemone trullifolia var. lutienensis,26.876096,100.229945 +Anemone trullifolia var. trullifolia,26.876096,100.229945 +Anemone vitifolia,35.86,104.2 +Aquilegia ecalcarata,30.368117,102.81464 +Aquilegia moorcroftiana,31.47,79.8 +Aquilegia oxysepala var. kansuensis,31.331599,110.783718 +Aquilegia rockii,29.1031,99.6319 +Aquilegia viridiflora,39.31,115.24 +Asteropyrum peltatum,35.86,104.2 +Batrachium bungei var. bungei,26.876096,100.229945 +Batrachium bungei var. flavidum,29.77,84.03 +Beesia calthifolia,35.86,104.2 +Beesia deltophylla,29.32,95.33 +Calathodes oxycarpa,28.94,102.21 +Calathodes palmata,31.476274,102.063825 +Callianthemum alatavicum,41.717902,82.962012 +Callianthemum farreri,34.04,104.39 +Callianthemum pimpinelloides,33.310833,99.181389 +Caltha palustris var. himalaica,28.9353,102.212 +Caltha palustris var. palustris,29.48,94.98 +Caltha palustris var. umbrosa,35.86,104.2 +Caltha scaposa,34.634722,99.744722 +Caltha sinogracilis,35.86,104.2 +Cimicifuga foetida var. bifida,29.32,95.33 +Cimicifuga foetida var. foetida,28.48611,98.911543 +Cimicifuga foetida var. foliolosa,31.8,98.58 +Cimicifuga simplex,47.02,129.02 +Cimicifuga yunnanensis,35.86,104.2 +Clematis acuminata,35.86,104.2 +Clematis aethusifolia,44.655,130.504 +Clematis akebioides,31.68115,103.85348 +Clematis alternata,28.85,85.29 +Clematis apiifolia var. argentilucida,26,110 +Clematis argentilucida var. grandidentata,36.519977,103.891767 +Clematis argentilucida var. likiangensis,28.48611,98.911543 +Clematis armandii,35.86,104.2 +Clematis barbellata var. obtusa,34.25,117.22 +Clematis brevicaudata,43.7,127.139 +Clematis buchananiana,35.86,104.2 +Clematis caudigera,36.85,81.67 +Clematis chrysocoma,35.86,104.2 +Clematis connata var. connata,30.05,101.96 +Clematis connata var. pseudoconnata,27.928607,101.279419 +Clematis connata var. trullifera,30.05,101.96 +Clematis delavayi var. calvescens,31.499202,98.218428 +Clematis delavayi var. delavayi,29.9425,101.0181 +Clematis delavayi var. limprichtii,30.46,100.3 +Clematis delavayi var. spinescens,28.3683,99.2422 +Clematis fasciculiflora var. angustifolia,27.2822,100.85195 +Clematis fasciculiflora var. fasciculiflora,25.2975,98.7953 +Clematis ganpiniana var. ganpiniana,31.32,102 +Clematis glauca,43.81,87.6 +Clematis gouriana,23.9022,106.618742 +Clematis gracilifolia var. dissectifolia,29.1531,101.407 +Clematis gratopsis,34.5,105.833333 +Clematis grewiiflora,28.85,85.29 +Clematis intricata,37.92,102.64 +Clematis jialasaensis,29.32,95.33 +Clematis lancifolia var. lancifolia,30.45,106.63 +Clematis lasiandra,30.19,119.36 +Clematis macropetala,40.642346,117.463749 +Clematis metuoensis,29.32,95.33 +Clematis montana var. glabrescens,26.901731,98.869207 +Clematis montana var. longipes,29.32,95.33 +Clematis montana var. montana,30.066708,102.758313 +Clematis montana var. sterilis,29.22,102.35 +Clematis napaulensis,35.86,104.2 +Clematis nukiangensis,25.858345,98.902949 +Clematis pamiralaica,37.77,75.22 +Clematis parviloba,35.86,104.2 +Clematis peterae var. peterae,29.342501,115.972806 +Clematis peterae var. trichocarpa,29.342501,115.972806 +Clematis pianmaensis,35.86,104.2 +Clematis pogonandra var. pilosula,30.91,102.54 +Clematis pogonandra var. pogonandra,30.055305,101.96483 +Clematis potaninii,24.8308,98.7678 +Clematis pseudopogonandra,31.68115,103.85348 +Clematis ranunculoides,35.86,104.2 +Clematis rehderiana,35.86,104.2 +Clematis sibirica,46.300861,129.538917 +Clematis sikkimensis var. clarkei,35.86,104.2 +Clematis tangutica var. pubescens,31.1025,97.1861 +Clematis tangutica var. tangutica,31.9497,98.595 +Clematis tenuifolia,31.1419,100.909 +Clematis tibetana var. lineariloba,29.65,91.12 +Clematis tsaii,29.32,95.33 +Clematis urophylla,24.466672,112.626493 +Clematis venusta,27.177166,99.28717 +Clematis viridis,32.9256,97.2661 +Clematis yui,29.63521,94.408318 +Clematis yunnanensis,35.86,104.2 +Clematis zandaensis,31.47,79.8 +Coptis teeta,35.86,104.2 +Delphinium albocoeruleum var. albocoeruleum,31.7,94.9 +Delphinium angustirhombicum,30.3,118.13 +Delphinium anthriscifolium,36.519977,103.891767 +Delphinium autumnale,27.92,101.27 +Delphinium batangense,28.93,99.79 +Delphinium beesianum var. beesianum,35.86,104.2 +Delphinium beesianum var. latisectum,35.86,104.2 +Delphinium beesianum var. radiatifolium,29.67,97.84 +Delphinium bonvalotii var. radiatifolium,29.67,97.84 +Delphinium brevisepalum,21.741852,107.997805 +Delphinium brunonianum,36.519977,103.891767 +Delphinium bulleyanum,30.004589,99.107741 +Delphinium caeruleum var. caeruleum,27.48,88.9 +Delphinium caeruleum var. obtusilobum,27.48,88.9 +Delphinium campylocentrum,30.91,102.54 +Delphinium candelabrum var. candelabrum,33.376944,100.29 +Delphinium candelabrum var. monanthum,33.376944,100.29 +Delphinium caudatolobum,31.9531,98.9036 +Delphinium ceratophoroides,28.66,97.46 +Delphinium ceratophorum var. brevicorniculatum,28.48611,98.911543 +Delphinium ceratophorum var. ceratophorum,24.976725,101.487417 +Delphinium ceratophorum var. hirsutum,27.177166,99.28717 +Delphinium ceratophorum var. robustum,28.48611,98.911543 +Delphinium chayuense,28.66,97.46 +Delphinium chenii,26.837264,116.325752 +Delphinium chrysotrichum var. chrysotrichum,31.68,94.92 +Delphinium chrysotrichum var. tsarongense,31.68,94.92 +Delphinium chumulangmaense,28.65,87.12 +Delphinium chungbaense,29.77,84.03 +Delphinium coleopodum,26.876096,100.229945 +Delphinium delavayi var. delavayi,28.6189,99.8214 +Delphinium delavayi var. lasiandrum,26.876096,100.229945 +Delphinium delavayi var. pogonanthum,25.7,104.46 +Delphinium densiflorum,34.266111,100.284167 +Delphinium dolichocentroides var. dolichocentroides,27.92,101.27 +Delphinium dolichocentroides var. leiogynum,27.76,100.32 +Delphinium forrestii var. forrestii,28.66,97.46 +Delphinium forrestii var. viride,28.66,97.46 +Delphinium glabricaule,30.99,102.36 +Delphinium glaciale,30.93,88.7 +Delphinium gonggaense,29.1661,101.523 +Delphinium grandiflorum var. gilgianum,36.98,105.91 +Delphinium grandiflorum var. grandiflorum,35.11,108.33 +Delphinium gyalanum,29.68,91.13 +Delphinium hamatum,26.56023,100.17643 +Delphinium handelianum,26.68,100.75 +Delphinium hillcoatiae,31.712092,88.118532 +Delphinium hirtifolium,27.928607,101.279419 +Delphinium humilius,27.82308,99.706013 +Delphinium kamaonense var. glabrescens,35.20256,102.521732 +Delphinium kamaonense var. kamaonense,35.20256,102.521732 +Delphinium kantzeense,38.073254,104.69114 +Delphinium kingianum var. acuminatissimum,29.3,91.98 +Delphinium kingianum var. eglandulosum,29.3,91.98 +Delphinium kingianum var. kingianum,29.3,91.98 +Delphinium kunlunshanicum,37.88,77.41 +Delphinium lacostei,37.88,77.41 +Delphinium lasiantherum,29.037008,100.298406 +Delphinium latirhombicum,26.11116,99.951049 +Delphinium laxicymosum var. laxicymosum,31.58,104.38 +Delphinium leiophyllum,29.89,91.26 +Delphinium leiostachyum,27.92,101.27 +Delphinium likiangense,26.876096,100.229945 +Delphinium longipedicellatum,29.85,95.76 +Delphinium majus,31.331599,110.783718 +Delphinium medogense,29.32,95.33 +Delphinium micropetalum,35.86,104.2 +Delphinium muliense var. minutibracteolatum,28.46,100.68 +Delphinium muliense var. muliense,27.42,101.5 +Delphinium nangchienense,32.77,96.67 +Delphinium ninglangshanicum,27.92,101.27 +Delphinium nordhagenii var. acutidentatum,33.38,79.73 +Delphinium nordhagenii var. nordhagenii,33.38,79.73 +Delphinium nortonii,28.35,90.9 +Delphinium obcordatilimbum,31.22,96.6 +Delphinium omeiense var. pubescens,27.897245,102.265266 +Delphinium orthocentrum,36.407278,99.9568 +Delphinium oxycentrum,27.93,101.28 +Delphinium pachycentrum var. lancisepalum,30.055305,101.96483 +Delphinium pachycentrum var. pachycentrum,30.055305,101.96483 +Delphinium pergameneum,28.48611,98.911543 +Delphinium pomeense,29.85,95.76 +Delphinium potaninii var. bonvalotii,28.9406,102.124 +Delphinium potaninii var. latibracteolatum,31.68,103.85 +Delphinium potaninii var. potaninii,28.9406,102.124 +Delphinium pseudocampylocentrum,28.37,100.38 +Delphinium pseudoglaciale,29.68,89.09 +Delphinium pseudohamatum,38.073254,104.69114 +Delphinium pseudopulcherrimum,36.519977,103.891767 +Delphinium pulanense,30.3,81.17 +Delphinium pumilum,27.92,101.27 +Delphinium purpurascens,28.17,85.98 +Delphinium pycnocentrum,25.584234,100.222124 +Delphinium pylzowii var. pylzowii,34.432222,100.333889 +Delphinium pylzowii var. trigynum,34.432222,100.333889 +Delphinium qinghaiense,36.4,94.9 +Delphinium rangtangense,32.26,100.97 +Delphinium sherriffii,29.63,94.36 +Delphinium sinopentagynum,33.58,102.95 +Delphinium sinovitifolium,36.519977,103.891767 +Delphinium smithianum,28.5733,99.8117 +Delphinium souliei,32.63,103.59 +Delphinium sparsiflorum,33.97,107.24 +Delphinium spirocentrum,35.86,104.2 +Delphinium subspathulatum,28.17,85.98 +Delphinium sutchuenense,31.8503,102.67 +Delphinium tabatae,28.85,85.29 +Delphinium taliense,27.37,102.53 +Delphinium tangkulaense,34.177222,97.768611 +Delphinium tatsienense var. tatsienense,30.055305,101.96483 +Delphinium tenii,35.86,104.2 +Delphinium thibeticum var. laceratilobum,31.21,100.27 +Delphinium thibeticum var. thibeticum,28.8675,99.2458 +Delphinium tongolense,25.012526,102.700013 +Delphinium trichophorum var. platycentrum,27.92,101.27 +Delphinium trichophorum var. trichophorum,36.519977,103.891767 +Delphinium umbrosum var. drepanocentrum,28,91.95 +Delphinium umbrosum var. umbrosum,27.82308,99.706013 +Delphinium vestitum,28.11,86 +Delphinium viscosum var. chrysotrichum,31.68,94.92 +Delphinium wardii,29.05,93.95 +Delphinium wenchuanense,31.08,103.26 +Delphinium wrightii,31.08,96.97 +Delphinium yajiangense,27.711428,102.807301 +Delphinium yangii,27.83,99.7 +Delphinium yanwaense,27.177166,99.28717 +Delphinium yechengense,37.88,77.41 +Delphinium yuanum,29.1081,99.9078 +Delphinium yulungshanicum,38.073254,104.69114 +Delphinium yunnanense,24.688873,101.641935 +Dichocarpum franchetii,25.9725,98.683611 +Eranthis lobulata,31.08,103.26 +Halerpestes filisecta,32.4,81.12 +Halerpestes lancifolia,33.38,79.73 +Halerpestes ruthenica,32.573889,97.210556 +Halerpestes sarmentosa,45.677401,129.939423 +Halerpestes tricuspis,34.634722,99.744722 +Helleborus thibetanus,30.36,102.81 +Isopyrum anemonoides,44.326389,85.619416 +Kingdonia uniflora,31.7061,102.314 +Leptopyrum fumarioides,45.677401,129.939423 +Metanemone ranunculoides,27.177166,99.28717 +Oxygraphis delavayi,35.86,104.2 +Oxygraphis endlicheri,28.5733,99.8117 +Oxygraphis glacialis,34.469167,100.3925 +Paraquilegia anemonoides,30.659926,117.490786 +Paraquilegia caespitosa,37.77,75.22 +Paraquilegia microphylla,30.911944,102.546111 +Pulsatilla ambigua,33.96,112.03 +Pulsatilla campanella,43.15,81.12 +Pulsatilla chinensis,36.06667,120.33334 +Pulsatilla kostyczewii,39.71,75.25 +Pulsatilla millefolium,29,101.5 +Ranunculus balangshanicus,30.911941,102.900087 +Ranunculus banguoensis var. banguoensis,30.29,81.17 +Ranunculus banguoensis var. grandiflorus,30.29,81.17 +Ranunculus brotherusii,34.633333,99.733333 +Ranunculus chinensis,40,116.35 +Ranunculus chuanchingensis,32.77,96.67 +Ranunculus dielsianus var. dielsianus,29.1381,99.3342 +Ranunculus dielsianus var. leiogynus,29.1381,99.3342 +Ranunculus dielsianus var. suprasericeus,28.48611,98.911543 +Ranunculus diffusus,35.86,104.2 +Ranunculus dingjieensis,28.37,87.77 +Ranunculus distans,30.034341,94.9898 +Ranunculus dongrergensis var. dongrergensis,29.32,95.33 +Ranunculus felixii var. forrestii,26.56023,100.17643 +Ranunculus felixii var. felixii,27.42,101.5 +Ranunculus ficariifolius,35.86,104.2 +Ranunculus furcatifidus,30.29,81.17 +Ranunculus gelidus,44.96,81.02 +Ranunculus glabricaulis,34.580833,99.450833 +Ranunculus glacialiformis,36.519977,103.891767 +Ranunculus glareosus,32.573889,97.210556 +Ranunculus hetianensis,37.12,79.92 +Ranunculus hirtellus var. hirtellus,30.05,101.96 +Ranunculus hirtellus var. humilis,32.26,91.68 +Ranunculus hirtellus var. orientalis,27.82308,99.706013 +Ranunculus indivisus var. abaensis,36.92697,101.685623 +Ranunculus indivisus var. indivisus,33.57587,102.961829 +Ranunculus japonicus var. japonicus,26.94,114.24 +Ranunculus japonicus var. propinquus,41.24,119.4 +Ranunculus jilongensis,28.85,85.29 +Ranunculus kunlunshanicus,38.073254,104.69114 +Ranunculus limprichtii var. flavus,32.69,103.85 +Ranunculus limprichtii var. limprichtii,30.055305,101.96483 +Ranunculus lobatus,31.47,79.8 +Ranunculus mainlingensis,29.63,94.36 +Ranunculus membranaceus var. membranaceus,34.43808,104.036837 +Ranunculus membranaceus var. pubescens,32.97,98.1 +Ranunculus menyuanensis,37.5,101.3 +Ranunculus micronivalis,27.82308,99.706013 +Ranunculus minor,28.36,87.76 +Ranunculus munroanus,28,91.95 +Ranunculus muscigenus,38.073254,104.69114 +Ranunculus natans,43.44,87.44 +Ranunculus nematolobus,26.56023,100.17643 +Ranunculus nephelogenes var. longicaulis,36.36,101.448056 +Ranunculus nephelogenes var. nephelogenes,32.8792,97.0675 +Ranunculus nephelogenes var. pseudohirculus,32.8792,97.0675 +Ranunculus nephelogenes var. pubescens,31.80612,98.580912 +Ranunculus oreionannos,28.36,87.76 +Ranunculus pedatifidus,44.96,81.02 +Ranunculus pedicellatus,30.07,102.75 +Ranunculus pegaeus,29.63,94.36 +Ranunculus platypetalus,32.58333,103.83333 +Ranunculus polyrhizos,44.57,129.38 +Ranunculus popovii var. stracheyanus,28.48611,98.911543 +Ranunculus potaninii,34.73,92.92 +Ranunculus pseudolobatus,31.48,102.07 +Ranunculus pseudopygmaeus,28.85,85.29 +Ranunculus pulchellus,34.725278,100.719444 +Ranunculus rufosepalus,38.15,74.92 +Ranunculus sceleratus,32.05,118.79 +Ranunculus similis,29.77,84.03 +Ranunculus tanguticus var. dasycarpus,32.0806,97.0072 +Ranunculus tanguticus var. tanguticus,35.86,104.2 +Ranunculus tetrandrus,23.288401,111.90177 +Ranunculus trautvetterianus,37.77,75.22 +Ranunculus trigonus,25.0036,98.5833 +Ranunculus yunnanensis,28.727298,99.827515 +Ranunculus zhungdianensis,27.82308,99.706013 +Roegneria barbicalla var. pubifolia,37.28,114.51 +Souliea vaginata,31.9297,102.657 +Stipa caucasica subsp. glareosa,43.61,111.99 +Thalictrum alpinum var. alpinum,35.86,104.2 +Thalictrum alpinum var. elatum,35.86,104.2 +Thalictrum alpinum var. microphyllum,27.82308,99.706013 +Thalictrum aquilegiifolium var. sibiricum,44.609,130.332 +Thalictrum atriplex,29.85,95.76 +Thalictrum baicalense var. baicalense,30.87,101.89 +Thalictrum baicalense var. megalostigma,30.87,101.89 +Thalictrum brevisericeum,34.56,105.72 +Thalictrum chayuense,28.66,97.46 +Thalictrum chelidonii,28.85,85.29 +Thalictrum cultratum,30.1469,101.86 +Thalictrum delavayi var. decorum,35.86,104.2 +Thalictrum delavayi var. delavayi,35.86,104.2 +Thalictrum diffusiflorum,28.93,93.23 +Thalictrum elegans,28.48611,98.911543 +Thalictrum fargesii,29.052294,110.477656 +Thalictrum finetii,35.86,104.2 +Thalictrum foeniculaceum,36.07,103.75 +Thalictrum foetidum,34.714722,100.711944 +Thalictrum foliolosum,35.86,104.2 +Thalictrum fusiforme,24.13,117.62 +Thalictrum grandiflorum,32.94,104.68 +Thalictrum javanicum var. javanicum,29.22,102.35 +Thalictrum javanicum var. puberulum,29.22,102.35 +Thalictrum leuconotum,27.82308,99.706013 +Thalictrum microgynum,35.86,104.2 +Thalictrum minus var. hypoleucum,34.608663,119.506767 +Thalictrum minus var. minus,34.608663,119.506767 +Thalictrum oligandrum,35.16,101.38 +Thalictrum petaloideum,44.338,129.484 +Thalictrum przewalskii,34.714722,100.711944 +Thalictrum ramosum,29.496119,103.398589 +Thalictrum reniforme,27.48,88.9 +Thalictrum reticulatum var. hirtellum,27.2536,100.153 +Thalictrum reticulatum var. reticulatum,25.35,102.45 +Thalictrum rostellatum,35.86,104.2 +Thalictrum rotundifolium,28.85,85.29 +Thalictrum rutifolium,33.693889,99.431111 +Thalictrum saniculiforme,28.66,97.46 +Thalictrum simplex var. brevipes,32.055645,118.797741 +Thalictrum simplex var. simplex,33.97,107.24 +Thalictrum smithii,28.6003,100.287 +Thalictrum squamiferum,33.000556,97.328889 +Thalictrum squarrosum,35.69,105.05 +Thalictrum tenue,36.6,113.72 +Thalictrum trichopus,25.827253,100.575146 +Thalictrum tsawarungense,29.85,95.76 +Thalictrum uncatum,33.1567,96.6483 +Thalictrum uncinulatum,30.368117,102.81464 +Thalictrum virgatum,28.85,85.29 +Thalictrum viscosum,31.87,99.12 +Thalictrum wangii,28.66,97.46 +Trollius chinensis,38.798957,113.432164 +Trollius dschungaricus,43.923252,81.338332 +Trollius farreri var. farreri,28.66138,98.94055 +Trollius farreri var. major,28.35861,98.78694 +Trollius micranthus,27.740736,98.66582 +Trollius pumilus var. pumilus,34.469167,100.3925 +Trollius pumilus var. tanguticus,34.469167,100.3925 +Trollius pumilus var. tehkehensis,34.43,104.03 +Trollius ranunculoides,28.385,98.78583 +Trollius vaginatus,27.82308,99.706013 +Trollius yunnanensis var. anemonifolius,30.05,101.96 +Trollius yunnanensis var. eupetalus,35.86,104.2 +Trollius yunnanensis var. yunnanensis,35.86,104.2 +Meliosma alba,31.321335,110.746783 +Meliosma arnottiana,25.759722,98.706111 +Meliosma cuneifolia var. cuneifolia,27.24,105.72 +Meliosma cuneifolia var. glabriuscula,27.24,105.72 +Meliosma dilleniifolia,35.86,104.2 +Meliosma dumicola,18.626309,109.700342 +Meliosma mannii,35.86,104.2 +Meliosma pinnata,29.32,95.33 +Meliosma thomsonii,35.86,104.2 +Meliosma veitchiorum,30.353794,119.436458 +Meliosma wallichii,35.86,104.2 +Meliosma yunnanensis,35.86,104.2 +Sabia campanulata,36.519977,103.891767 +Sabia dielsii,27.9067,98.6558 +Sabia fasciculata,22.54,114.05 +Sabia parviflora,29.32,95.33 +Sabia schumanniana,31.05,109.41 +Sabia yunnanensis subsp. latifolia,30.06,102.75 +Sabia yunnanensis subsp. yunnanensis,25.6,100.033 +Nelumbo nucifera,31.662187,119.879837 +Helicia tibetensis,29.32,95.33 +Tetracentron sinense,35.86,104.2 +Buxus bodinieri,30.353794,119.436458 +Buxus mollicula var. mollicula,26.876096,100.229945 +Buxus myrica,23.49,108.62 +Buxus rugulosa var. prostrata,27.60667,99.64528 +Buxus rugulosa var. rugulosa,27.60667,99.64528 +Buxus rugulosa var. rupicola,27.82308,99.706013 +Pachysandra axillaris,24.976725,101.487417 +Sarcococca hookeriana var. digyna,35.86,104.2 +Sarcococca hookeriana var. hookeriana,35.86,104.2 +Sarcococca ruscifolia,35.86,104.2 +Sarcococca wallichii,35.86,104.2 +Paeonia anomala subsp. veitchii,26.908457,102.930168 +Paeonia decomposita subsp. decomposita,30.05,101.96 +Paeonia delavayi var. angustiloba,26.876096,100.229945 +Paeonia delavayi var. delavayi,35.86,104.2 +Paeonia delavayi var. lutea,35.86,104.2 +Paeonia emodi,28.85,85.29 +Paeonia lactiflora,49.25533,120.22497 +Paeonia mairei,33.392394,104.926525 +Paeonia obvata subsp. willmottiae,33.976206,107.249372 +Paeonia sterniana,31.712092,88.118532 +Paeonia veitchii var. veitchii,31.084,103.267 +Altingia excelsa,35.86,104.2 +Corylopsis glaucescens,27.6319,98.6164 +Corylopsis himalayana,35.86,104.2 +Corylopsis microcarpa,29.22,102.35 +Corylopsis platypetala,28.014161,102.842674 +Corylopsis trabeculosa,27.7386,98.3489 +Corylopsis willmottiae,30.066708,102.758313 +Corylopsis yui,27.713333,98.571667 +Corylopsis yunnanensis,35.86,104.2 +Exbucklandia populnea,29.32,95.33 +Loropetalum chinense,30.19,119.58 +Rhodoleia forrestii,35.86,104.2 +Cercidiphyllum japonicum,30.066708,102.758313 +Daphniphyllum chartaceum,35.86,104.2 +Daphniphyllum himalense,35.86,104.2 +Daphniphyllum paxianum,24.948611,98.451944 +Itea chinensis,35.86,104.2 +Itea ilicifolia,31.824099,108.629497 +Itea indochinensis var. pubinervia,35.86,104.2 +Itea kiukiangensis,35.86,104.2 +Itea yunnanensis,35.86,104.2 +Ribes alpestre var. alpestre,28.535,98.884167 +Ribes alpestre var. eglandulosum,30.055305,101.96483 +Ribes alpestre var. giganteum,35.84,104.11 +Ribes fasciculatum var. chinense,32.055645,118.797741 +Ribes giraldii,33.976206,107.249372 +Ribes glaciale f. glaciale,32.2792,96.2731 +Ribes glaciale f. hirsutum,35.86,104.2 +Ribes gongshanense var. gongshanense,35.86,104.2 +Ribes griffithii var. gongshanense,35.86,104.2 +Ribes griffithii var. griffithii,26.452444,98.755028 +Ribes himalense var. himalense,28.553333,98.874445 +Ribes himalense var. pubicalycinum,30.055305,101.96483 +Ribes himalense var. trichophyllum,30.368117,102.81464 +Ribes humile,31.37,109.62 +Ribes kialanum,31.82,108.62 +Ribes laciniatum,28.48611,98.911543 +Ribes laurifolium var. laurifolium,35.86,104.2 +Ribes longiracemosum var. davidii,35.86,104.2 +Ribes longiracemosum var. longiracemosum,35.86,104.2 +Ribes longiracemosum var. pilosum,35.86,104.2 +Ribes luridum,35.86,104.2 +Ribes maximowiczianum,41.55389,128.28667 +Ribes menyuanense,37.38,101.62 +Ribes meyeri,38.9,75.2 +Ribes moupinense var. moupinense,35.86,104.2 +Ribes moupinense var. tripartitum,31.331599,110.783718 +Ribes orientale,27.82308,99.706013 +Ribes pseudofasciculatum,31.08,96.97 +Ribes pulchellum,36.82,108.76 +Ribes qingzangense var. qingzangense,29.87,95.77 +Ribes qingzangense var. urceolatum,29.87,95.77 +Ribes stenocarpum,37.2,102.4 +Ribes takare var. desmocarpum,29.914155,102.234618 +Ribes takare var. takare,28.661276,97.466916 +Ribes tenue var. incisum,27.177166,99.28717 +Ribes tenue var. tenue,35.86,104.2 +Ribes vilmorinii,30.98,102.87 +Ribes xizangense,28.661276,97.466916 +Astilbe chinensis,43.7,127.139 +Astilbe rivularis var. angustifoliolata,35.86,104.2 +Astilbe rivularis var. myriantha,29.73797,103.231884 +Astilbe rivularis var. rivularis,35.86,104.2 +Astilbe rubra,25.584234,100.222124 +Bergenia pacumbis,28.85,85.29 +Bergenia purpurascens,28.66,97.46 +Chrysosplenium delavayi,30.527145,119.272033 +Chrysosplenium absconditicapsulum,29.65,91.12 +Chrysosplenium axillare,32.573889,97.210556 +Chrysosplenium carnosum,28.93,99.79 +Chrysosplenium cavaleriei,35.86,104.2 +Chrysosplenium davidianum,28.5858,99.8372 +Chrysosplenium forrestii,0,0 +Chrysosplenium fuscopuncticulosum,0,0 +Chrysosplenium griffithii var. griffithii,28.385,98.78583 +Chrysosplenium griffithii var. intermedium,32.27,96.22 +Chrysosplenium lanuginosum,36.519977,103.891767 +Chrysosplenium lixianense,26.58,114.1 +Chrysosplenium nepalense,29.138831,94.211324 +Chrysosplenium nudicaule,36.519977,103.891767 +Chrysosplenium oxygraphoides,31.712092,88.118532 +Chrysosplenium pilosum var. valdepilosum,40.5,117.09 +Chrysosplenium sikangense,35.86,104.2 +Chrysosplenium sinicum,43.7,127.139 +Chrysosplenium uniflorum,32.883056,96.685 +Chrysosplenium yanyuanense,27.42,101.5 +Rodgersia aesculifolia,27.083101,100.262459 +Rodgersia nepalensis,30.84985,102.96234 +Rodgersia pinnata var. pinnata,27.078239,100.256783 +Rodgersia pinnata var. strigosa,25.584234,100.222124 +Rodgersia sambucifolia var. estrigosa,26.91,104.2 +Rodgersia sambucifolia var. sambucifolia,29.9425,101.018 +Saxifraga afghanica,32.883056,96.685 +Saxifraga andersonii,28.65,87.12 +Saxifraga aristulata var. aristulata,27.42,101.5 +Saxifraga aristulata var. longipila,27.42,101.5 +Saxifraga atrata,36.36,101.448056 +Saxifraga atuntsiensis,28.46357,98.91699 +Saxifraga aurantiaca var. aurantiaca,30.055305,101.96483 +Saxifraga aurantiaca var. limprichtii,38.79,113.43 +Saxifraga auriculata var. auriculata,30.05,101.96 +Saxifraga auriculata var. conaensis,28,91.95 +Saxifraga baimashanensis,28.48611,98.911543 +Saxifraga balfourii,27.92,101.27 +Saxifraga banmaensis,35.915001,90.860001 +Saxifraga bergenioides,28.93,92.22 +Saxifraga brachyphylla,26.876096,100.229945 +Saxifraga brachypoda,28.3523,85.7833 +Saxifraga brunonis,28.85,85.29 +Saxifraga bulleyana,26.876096,100.229945 +Saxifraga candelabrum,27.866333,99.7007 +Saxifraga cardiophylla,28.93,99.79 +Saxifraga caveana,29,93.98 +Saxifraga cernua,30.29,81.17 +Saxifraga chionophila,27.82308,99.706013 +Saxifraga chrysanthoides,26.876096,100.229945 +Saxifraga ciliatopetala,29.77,84.03 +Saxifraga cinerascens,26.876096,100.229945 +Saxifraga clavistaminea,35.86,104.2 +Saxifraga clivorum,28.36,87.76 +Saxifraga coarctata,28.48611,98.911543 +Saxifraga consanguinea,34.460556,100.401667 +Saxifraga contraria,24.833333,98.783333 +Saxifraga cordigera,29.54,103.36 +Saxifraga daochengensis,28.66,97.46 +Saxifraga davidii,29.49,103.39 +Saxifraga decussata,21.61,108.05 +Saxifraga densifoliata var. densifoliata,30.05,101.96 +Saxifraga densifoliata var. nedongensis,30.05,101.96 +Saxifraga deqenensis,28.48611,98.911543 +Saxifraga diapensia,28.596944,99.867778 +Saxifraga dielsiana,35.86,104.2 +Saxifraga diffusicallosa,27.48,88.9 +Saxifraga dingqingensis,29.54,103.36 +Saxifraga divaricata,30.05,101.96 +Saxifraga diversifolia,30.05,96.91 +Saxifraga doyalana,29.54,103.36 +Saxifraga drabiformis,26.876096,100.229945 +Saxifraga dshagalensis,29.54,103.36 +Saxifraga eglandulosa,29.58,95 +Saxifraga egregia var. eciliata,29.85,95.76 +Saxifraga egregia var. egregia,31.05778,99.10333 +Saxifraga egregia var. xiaojinensis,30.99,102.36 +Saxifraga elliotii,32.775339,103.623545 +Saxifraga elliptica,29.14,92.59 +Saxifraga engleriana,29,93.98 +Saxifraga epiphylla,30.36,102.82 +Saxifraga erinacea,27.928385,91.879639 +Saxifraga filicaulis,28.491111,98.939722 +Saxifraga filifolia,35.86,104.2 +Saxifraga finitima,28.628445,98.633361 +Saxifraga flaccida,28.85,85.29 +Saxifraga flagellaris,31.712092,88.118532 +Saxifraga flexilis,28.93,99.79 +Saxifraga forrestii,26.876096,100.229945 +Saxifraga gatogombensis,29.037008,100.298406 +Saxifraga gemmigera var. gemmigera,31.94,98.92472 +Saxifraga gemmipara,25.67,100.13 +Saxifraga georgei,35.86,104.2 +Saxifraga giraldiana,30.663372,113.166529 +Saxifraga glabricaulis,28.647167,98.610554 +Saxifraga glacialis,28.93,99.79 +Saxifraga glaucophylla,28.93,99.79 +Saxifraga gongashanensis,29.54,103.36 +Saxifraga gyalana,30.05,96.91 +Saxifraga haplophylloides,28,91.95 +Saxifraga heleonastes,26.9,117.17 +Saxifraga hemisphaerica,32.77,96.67 +Saxifraga hengduanensis,26.901731,98.869207 +Saxifraga heteroclada var. aurantia,28.66,97.46 +Saxifraga heterocladoides,29.85,95.76 +Saxifraga heterotricha var. anadena,29.1278,99.9753 +Saxifraga heterotricha var. heterotricha,29.97,93.68 +Saxifraga hirculoides,34.334167,100.509444 +Saxifraga hirculus var. alpina,32.49,80.09 +Saxifraga hirculus var. hirculus,28.484444,98.948889 +Saxifraga hispidula,28.66,97.46 +Saxifraga hookeri,29.14,92.59 +Saxifraga hypericoides var. aurantiascens,28.93,99.79 +Saxifraga hypericoides var. hypericoides,27.928607,101.279419 +Saxifraga hypericoides var. rockii,29.596006,101.876752 +Saxifraga insolens,35.86,104.2 +Saxifraga isophylla,29.58,95 +Saxifraga jacquemontiana,29,93.98 +Saxifraga kingdonii,29.58,95 +Saxifraga kingiana,28.85,85.29 +Saxifraga kongboensis,29.63,94.36 +Saxifraga lepidostolonosa,28,91.95 +Saxifraga likiangensis,30.05,96.91 +Saxifraga linearifolia,26.876096,100.229945 +Saxifraga litangensis,30.055305,101.96483 +Saxifraga lixianensis,28.6,118.516701 +Saxifraga llonakhensis,28.66,97.46 +Saxifraga loripes,29.54,103.36 +Saxifraga ludlowii,27.6961,98.4553 +Saxifraga lumpuensis,34.69,103.35 +Saxifraga lychnitis,29.77,84.03 +Saxifraga macrostigmatoides,35.86,104.2 +Saxifraga melanocentra var. melanocentra,27.511833,99.9795 +Saxifraga melanocentra var. rubiflora,29.169,100.094 +Saxifraga mengtzeana var. cordatifolia,29.6,103.48 +Saxifraga mengtzeana var. mengtzeana,30.99,102.36 +Saxifraga microgyna,28.48611,98.911543 +Saxifraga miralana,29,93.98 +Saxifraga monantha,35.86,104.2 +Saxifraga montanella var. montanella,27.762306,98.941667 +Saxifraga montanella var. retusa,27.762306,98.941667 +Saxifraga montanelloides,29.54,103.36 +Saxifraga moorcroftiana,27.177166,99.28717 +Saxifraga mucronulata,27.82308,99.706013 +Saxifraga nakaoides,28,91.95 +Saxifraga nambulana,29.54,103.36 +Saxifraga nana,34.633333,99.733333 +Saxifraga nanella var. glabrisepala,28.36,87.76 +Saxifraga nanella var. nanella,30.05,96.91 +Saxifraga nangqenica,29.54,103.36 +Saxifraga nangxianensis,29.65,91.12 +Saxifraga nigroglandulifera,35.86,104.2 +Saxifraga nigroglandulosa,28.93,99.79 +Saxifraga omphalodifolia,29.32,95.33 +Saxifraga oppositifolia f. albiflora,43.15,81.12 +Saxifraga oppositifolia f. oppositifolia,43.15,81.12 +Saxifraga pallida f. foliosa,28.65,102.52 +Saxifraga pallida f. nana,26.876096,100.229945 +Saxifraga pallida f. pallida,26.876096,100.229945 +Saxifraga pardanthina,28.93,99.79 +Saxifraga parkaensis,30.29,81.17 +Saxifraga parnassiifolia var. obscuricallosa,28.66,97.46 +Saxifraga parnassiifolia var. parnassiifolia,30,110.39 +Saxifraga parva,33.85,95.62 +Saxifraga parvula,26.901731,98.869207 +Saxifraga pellucida,29.6375,98.90833 +Saxifraga peplidifolia,27.42,101.5 +Saxifraga peraristulata,29.54,103.36 +Saxifraga petrophila var. likiangensis,26.876096,100.229945 +Saxifraga pratensis,28.93,99.79 +Saxifraga prattii,30.05,101.96 +Saxifraga przewalskii,33.75,97.05 +Saxifraga pseudohirculus,30.055305,101.96483 +Saxifraga pulchra,26.876096,100.229945 +Saxifraga pulvinaria,36.21,79.3 +Saxifraga punctulata var. minuta,29.77,84.03 +Saxifraga punctulata var. punctulata,29.77,84.03 +Saxifraga punctulatoides,28.849247,91.998363 +Saxifraga rizhaoshanensis,29.54,103.36 +Saxifraga rotundipetala,29.85,95.76 +Saxifraga rufescens,28.03527,98.60222 +Saxifraga saginoides,29.14,92.59 +Saxifraga sanguinea,27.42,101.5 +Saxifraga saxicola,30.3,118.13 +Saxifraga sediformis,22.555882,99.932102 +Saxifraga sessiliflora,28.65,87.12 +Saxifraga sibirica,36.519977,103.891767 +Saxifraga signata,32.77,96.67 +Saxifraga signatella,28.53,92.42 +Saxifraga sinomontana var. amabilis,28.596944,99.867778 +Saxifraga sinomontana var. sinomontana,28.381667,100.371533 +Saxifraga sphaeradena subsp. dhwojii,28.85,85.29 +Saxifraga sphaeradena subsp. sphaeradena,28.85,85.29 +Saxifraga stella-aurea,35.86,104.2 +Saxifraga stellariifolia,35.86,104.2 +Saxifraga stenophylla,30.05,96.91 +Saxifraga stolonifera,26.27,110.01 +Saxifraga strigosa,35.86,104.2 +Saxifraga subaequifoliata,35.86,104.2 +Saxifraga subamplexicaulis,34.365,100.193 +Saxifraga subomphalodifolia,29.54,103.36 +Saxifraga subsessiliflora,27.82308,99.706013 +Saxifraga subspathulata,29.54,103.36 +Saxifraga substrigosa,29.03,93.93 +Saxifraga subternata,29.65,94.366667 +Saxifraga tangutica var. platyphylla,28.93,99.79 +Saxifraga tangutica var. tangutica,30.911111,102.895278 +Saxifraga taraktophylla f. filifolia,29.63,94.36 +Saxifraga tentaculata,24.35,114.13 +Saxifraga tibetica,33.290107,101.112238 +Saxifraga tigrina,29.22,94.22 +Saxifraga tsangchanensis,28.5733,99.8117 +Saxifraga umbellulata var. muricola,29.65,91.12 +Saxifraga umbellulata var. pectinata,29.67,97.84 +Saxifraga umbellulata var. umbellulata,29.67,97.84 +Saxifraga unguiculata var. unguiculata,27.903056,101.618056 +Saxifraga wallichiana,27.516333,100.000833 +Saxifraga wardii var. glabripedicellata,28.36444,98.79166 +Saxifraga wardii var. wardii,29.609126,94.654199 +Saxifraga wenchuanensis,29.54,103.36 +Saxifraga yaluzangbuensis,29.04,93.07 +Saxifraga yezhiensis,27.177166,99.28717 +Saxifraga yushuensis,32.77,96.67 +Saxifraga zayuensis,28.48611,98.911543 +Saxifraga zekoensis,35.03,101.47 +Saxifraga zhidoensis,33.85,95.62 +Tiarella polyphylla,35.86,104.2 +Hylotelephium angustum,30.91,102.54 +Hylotelephium erythrostictum,49.25533,120.22497 +Hylotelephium ewersii,44.9,82.07 +Kalanchoe integra,36.519977,103.891767 +Ohbaea balfourii,27.92,101.27 +Orostachys alicae,36.06667,120.33334 +Orostachys chanetii,36.211843,117.120074 +Orostachys fimbriata,36.06667,120.33334 +Orostachys schoenlandii,30.911944,102.546111 +Orostachys spinosa,36.519977,103.891767 +Orostachys thyrsiflora,42.26,86.86 +Phedimus aizoon var. scabrus,40.64,116.58 +Rhodiola alsia subsp. alsia,28.48611,98.911543 +Rhodiola alsia subsp. kawaguchii,36.52,103.89167 +Rhodiola alterna,31.480245,93.679637 +Rhodiola atsaensis,28.53,92.42 +Rhodiola atuntsuensis,27.790653,99.583008 +Rhodiola brevipetiolata,32.637983,103.59895 +Rhodiola bupleuroides,35.86,104.2 +Rhodiola calliantha,28.85,85.29 +Rhodiola chrysanthemifolia,28.48611,98.911543 +Rhodiola coccinea subsp. coccinea,28.93,99.79 +Rhodiola coccinea subsp. scabrida,28.93,99.79 +Rhodiola crenulata,29.037008,100.298406 +Rhodiola cretinii,27.98,87.13 +Rhodiola discolor,27.82308,99.706013 +Rhodiola dumulosa,32.0756,97.0653 +Rhodiola forrestii,29.2189,101.516 +Rhodiola gelida,43.79,87.63 +Rhodiola heterodonta,30.64,93.23 +Rhodiola himalensis subsp. himalensis,34.58,103.5 +Rhodiola himalensis subsp. taohoensis,34.58,103.5 +Rhodiola hobsonii,29.88,93.24 +Rhodiola humilis,31.833056,96.488333 +Rhodiola kashgarica,39.006389,75.4075 +Rhodiola kirilowii,32.075556,97.065278 +Rhodiola litwinowii,37.77,75.22 +Rhodiola macrocarpa,35.86,104.2 +Rhodiola nobilis,25.584234,100.222124 +Rhodiola ovatisepala var. chingii,28.661276,97.466916 +Rhodiola ovatisepala var. ovatisepala,29.85,95.76 +Rhodiola pamiro-alaica,40.02,116.21 +Rhodiola prainii,28.85,85.29 +Rhodiola primuloides subsp. primuloides,27.82308,99.706013 +Rhodiola purpureoviridis subsp. phariensis,27.03806,100.18139 +Rhodiola purpureoviridis subsp. purpureoviridis,27.03806,100.18139 +Rhodiola quadrifida,31.9272,96.4597 +Rhodiola recticaulis,37.17,75.38 +Rhodiola sacra var. sacra,32.0856,97.0119 +Rhodiola sacra var. tsuiana,32.0856,97.0119 +Rhodiola semenovii,39.71,75.25 +Rhodiola serrata,29.65,94.98 +Rhodiola sexifolia,31.49,98.21 +Rhodiola sherriffii,29.83,91.73 +Rhodiola sinuata,27.82308,99.706013 +Rhodiola smithii,32,90 +Rhodiola stapfii,27.75,89.17 +Rhodiola subopposita,42.82,93.51 +Rhodiola tangutica,33.75,97.05 +Rhodiola tibetica,29.6728,96.7781 +Rhodiola wallichiana,35.86,104.2 +Rhodiola yunnanensis,35.86,104.2 +Rosularia alpestris,31.47,79.8 +Sedum aizoon var. aizoon,40.64,116.58 +Sedum alfredii,28.67,104.01 +Sedum beauverdii,35.86,104.2 +Sedum blepharophyllum,30.05,101.97 +Sedum celatum,34.78,92.88 +Sedum celiae,27.422643,101.509187 +Sedum chauveaudii var. chauveaudii,30.06,102.75 +Sedum chauveaudii var. margaritae,30.06,102.75 +Sedum concarpum,32.6,111.19 +Sedum correptum,30.25,99.42 +Sedum costantinii,30.05,101.96 +Sedum daigremontianum var. daigremontianum,29.91,102.23 +Sedum daigremontianum var. macrosepalum,30.055305,101.96483 +Sedum didymocalyx,30.05,101.96 +Sedum dugueyi,30.05,101.96 +Sedum elatinoides,29.8,106.39 +Sedum emarginatum,32.1,114.08 +Sedum engleri var. engleri,29,101.5 +Sedum engleri var. forrestii,29,101.5 +Sedum erici-magnusii var. erici-magnusii,36.52,103.89167 +Sedum fedtschenkoi,43.870518,85.566173 +Sedum fischeri,34.177222,97.768611 +Sedum forrestii,28.5733,99.8117 +Sedum franchetii,26.453601,99.416689 +Sedum fui var. fui,27.82308,99.706013 +Sedum fui var. longisepalum,27.82308,99.706013 +Sedum gagei,27.48,88.9 +Sedum giajae,38.073254,104.69114 +Sedum glaebosum,33.000556,97.328889 +Sedum heckelii,28.66,97.46 +Sedum hengduanense,29.037008,100.298406 +Sedum henrici-robertii,34.3683,100.222 +Sedum japonicum,36.519977,103.891767 +Sedum leblancae,25.012526,102.700013 +Sedum leucocarpum,30.878627,101.89063 +Sedum longifuniculatum,31.43,103.17 +Sedum lutzii var. lutzii,29.32,95.33 +Sedum lutzii var. viridiflavum,29.32,95.33 +Sedum magniflorum,27.82308,99.706013 +Sedum majus,29.49,103.39 +Sedum morotii var. morotii,30.36,102.81 +Sedum morotii var. pinoyi,30.36,102.81 +Sedum multicaule subsp. multicaule,35.86,104.2 +Sedum multicaule subsp. rugosum,35.86,104.2 +Sedum muyaicum,38.073254,104.69114 +Sedum obtrullatum,28.48611,98.911543 +Sedum obtusipetalum,28.48611,98.911543 +Sedum odontophyllum,29.8,106.39 +Sedum oligospermum,33.22,107.54 +Sedum oreades,29.85,95.76 +Sedum pagetodes,30.95611,103.7825 +Sedum paoshingense,30.36,102.81 +Sedum paracelatum,31.8,98.58 +Sedum perrotii,31.08,103.26 +Sedum platysepalum,27.92,101.27 +Sedum prasinopetalum,30.05389,101.95667 +Sedum pratoalpinum,26.876096,100.229945 +Sedum przewalskii,35.86,104.2 +Sedum ramentaceum,33.33,105.6 +Sedum raymondii,27.82308,99.706013 +Sedum roborowskii,32.15,96.533333 +Sedum rosei var. magniflorum,27.82308,99.706013 +Sedum rosei var. rosei,30.05389,101.95667 +Sedum sagittipetalum,30.95611,103.7825 +Sedum sarmentosum,32.13,119.43 +Sedum sinoglaciale,27.92,101.27 +Sedum stellariifolium,35.86,104.2 +Sedum stimulosum,30.05,101.96 +Sedum susanneae var. macrosepalum,30.055305,101.96483 +Sedum susanneae var. susanneae,32.637983,103.59895 +Sedum triactina var. leptum,36.52,103.89167 +Sedum triactina var. triactina,36.52,103.89167 +Sedum trichospermum,31.05,109.41 +Sedum trullipetalum var. ciliatum,30.055305,101.96483 +Sedum trullipetalum var. trullipetalum,35.86,104.2 +Sedum tsinghaicum,32.77,96.67 +Sedum tsonanum,28,91.95 +Sedum ulricae,32.120833,97.035 +Sedum wangii,21.957355,100.452547 +Sedum wenchuanense,31.08,103.26 +Sinocrassula ambigua,35.86,104.2 +Sinocrassula indica var. indica,31.56955,110.85799 +Sinocrassula indica var. obtusifolia,28.71,99.28 +Sinocrassula techinensis,29.04,93.07 +Tillaea alata,29.214722,100.101111 +Tillaea schimperi,29.49,103.39 +Penthorum chinense,36.519977,103.891767 +Gonocarpus micranthus,27.698056,98.303611 +Myriophyllum spicatum,30.34,119.95 +Myriophyllum verticillatum,39.867956,116.195928 +Cynomorium songaricum,44.32,85.61 +Ampelocissus artemisiifolia,25.7,101.88 +Ampelocissus latifolia,28.85,85.29 +Ampelopsis aconitifolia var. glabra,30.966552,111.261345 +Ampelopsis acutidentata,28.8436,98.6642 +Ampelopsis bodinieri,35.86,104.2 +Ampelopsis delavayana var. delavayana,25.7,100.033 +Ampelopsis mollifolia,27.42,101.5 +Cayratia cardiospermoides,26.11116,99.951049 +Cayratia japonica var. mollis,24.200284,108.140563 +Cissus assamica,27.04,114.9 +Leea compactiflora,21.934011,101.260734 +Leea macrophylla,29.32,95.33 +Parthenocissus semicordata,24.8308,98.7678 +Tetrastigma delavayi,35.86,104.2 +Tetrastigma hypoglaucum,35.86,104.2 +Tetrastigma obovatum var. glabrum,24.68123,105.334672 +Tetrastigma obovatum var. obovatum,32.44,104.55 +Tetrastigma obovatum var. potentilla,32.44,104.55 +Tetrastigma obtectum var. obtectum,35.86,104.2 +Tetrastigma planicaule,29.15,112.5 +Tetrastigma rumicispermum var. rumicispermum,27.7411,98.3453 +Tetrastigma rupestre,23.13,106.42 +Tetrastigma serrulatum var. puberulum,23.880344,100.092756 +Tetrastigma serrulatum var. serrulatum,29.85,95.76 +Tetrastigma triphyllum var. hirtum,25.012526,102.700013 +Tetrastigma yunnanense var. mollissimum,35.86,104.2 +Tetrastigma yunnanense var. yunnanense,35.86,104.2 +Vitis betulifolia,31.824099,108.629497 +Vitis davidii,24.912017,113.038767 +Vitis flexuosa,29.496119,103.398589 +Vitis heyneana subsp. ficifolia,39.31,115.24 +Vitis heyneana subsp. heyneana,26.0272,98.6286 +Vitis piasezkii,34.5,105.833333 +Vitis romaneti,33.04,111.84 +Vitis sinocinerea,24.813781,113.184435 +Yua thomsonii var. thomsonii,27.177166,99.28717 +Tribulus terrestris,39.333333,106.983333 +Zygophyllum kaschgaricum,39.71,75.25 +Zygophyllum loczyi,38.93,100.46 +Zygophyllum obliquum,39.71,75.25 +Acacia concinna,23.37,103.4003 +Acacia delavayi,35.86,104.2 +Acacia farnesiana,25.71,98.69 +Acacia pennata,24.52,117.37 +Acacia yunnanensis,27.42,101.5 +Aeschynomene indica,31.304478,119.087765 +Albizia chinensis,35.86,104.2 +Albizia julibrissin,38.879033,121.266244 +Albizia kalkora,36.149772,120.696933 +Albizia lebbeck,25.380343,118.10704 +Albizia lucidior,22.653799,108.310905 +Albizia mollis,28.85,85.29 +Albizia sherriffii,35.86,104.2 +Ammopiptanthus mongolicus,39.813712,109.974421 +Amphicarpaea edgeworthii,35.763344,117.503833 +Amphicarpaea ferruginea,27.0983,100.175 +Apios carnea,30,94.88 +Apios delavayi,35.86,104.2 +Apios pteridietorum,35.86,104.2 +Archidendron clypearia,21.68,101.42 +Astragalus acaulis,27.48,88.9 +Astragalus andaulgensis,38.073254,104.69114 +Astragalus anfractuosus,38.073254,104.69114 +Astragalus aridovallicola,38.073254,104.69114 +Astragalus arkalycensis,48.3,87.26 +Astragalus arnoldianus,30.05,101.96 +Astragalus arnoldii,28.55,89.68 +Astragalus aurantiacus,36.5,102.43 +Astragalus austrosibiricus,37.07,115.67 +Astragalus austrotibetanus,29.47,86.58 +Astragalus balfourianus,35.86,104.2 +Astragalus basiflorus,39.71222,75.03639 +Astragalus batangensis,28.13,99.43 +Astragalus beketowii,38.95,75.17 +Astragalus bhotanensis,25.584234,100.222124 +Astragalus bomiensis,27.82308,99.706013 +Astragalus borodinii,44.96,81.02 +Astragalus brevialatus,27.92,101.27 +Astragalus caeruleopetalinus,27.92,101.27 +Astragalus chagyabensis,25.379999,105.709999 +Astragalus chaidamuensis,0,0 +Astragalus changmuicus,28.17,85.98 +Astragalus chilienshanensis,30.0444,101.3081 +Astragalus chiukiangensis,35.86,104.2 +Astragalus chomutowii,38.38,75.18 +Astragalus chrysopterus,33.976206,107.249372 +Astragalus clarkeanus,33.33,106.15 +Astragalus coluteocarpus,42.26,86.86 +Astragalus comptodontoides,38.073254,104.69114 +Astragalus confertus f. albiflorus,34.1772,97.7686 +Astragalus confertus f. confertus,28.85,85.29 +Astragalus craibianus,28.48611,98.911543 +Astragalus crassifolius,28.93,99.79 +Astragalus dabanshanicus,38.073254,104.69114 +Astragalus datunensis,36.68,101.27 +Astragalus degensis,27.82308,99.706013 +Astragalus densiflorus var. densiflorus,32.27,96.22 +Astragalus densiflorus var. kunlunicus,32.27,96.22 +Astragalus dependens,37.32,100.14 +Astragalus dictamnoides,38.073254,104.69114 +Astragalus dingjiensis,28.36,87.76 +Astragalus dschimensis,44.02,89.59 +Astragalus dumetorum,25.275367,103.003972 +Astragalus ernestii,30.28,99.5 +Astragalus euchlorus,30.07,101.6 +Astragalus falconeri,30.29,81.17 +Astragalus floridulus,30.3,91.52 +Astragalus forrestii,29.1031,99.6319 +Astragalus frigidus,27.82308,99.706013 +Astragalus galactites,35.69,105.05 +Astragalus golmunensis var. golmunensis,34.58,92.73 +Astragalus golmunensis var. paucipilus,34.58,92.73 +Astragalus gracilipes,29.5367,107.2833 +Astragalus graveolens,31.68,103.85 +Astragalus guinanicus,36.28,100.62 +Astragalus habamontis,26.876096,100.229945 +Astragalus handelii,36.97,103.14 +Astragalus henryi,34.568696,105.726027 +Astragalus heterodontus,36.85,81.67 +Astragalus hoantchy,31.47,79.8 +Astragalus kialensis,29.7372,96.065 +Astragalus kukunoricus,37.32,100.14 +Astragalus kunlunensis,37.88,77.41 +Astragalus kuschakewiczii,31.725,100.744 +Astragalus lasiosemius,39.72,75.25 +Astragalus latiunguiculatus,30.36,102.81 +Astragalus laxmannii,43.88,127.79 +Astragalus lessertioides,28.93,99.79 +Astragalus lhorongensis,29.72,98.45 +Astragalus licentianus,35.36,103.7 +Astragalus longiscapus,28.17,85.98 +Astragalus lucidus,29.85,95.76 +Astragalus luteolus,30.99,102.36 +Astragalus macropterus,41.79,81.87 +Astragalus mahoschanicus,36.4,99.95 +Astragalus malcolmii,35.74523,94.317009 +Astragalus maowensis,38.073254,104.69114 +Astragalus matiensis,30.05,101.96 +Astragalus mattam var. macroflorus,34.1278,97.6578 +Astragalus mattam var. mattam,34.1278,97.6578 +Astragalus melanostachys,31.80612,98.580912 +Astragalus melilotoides,33.978394,106.77122 +Astragalus minhensis,38.073254,104.69114 +Astragalus minshanensis,33.43,101.48 +Astragalus miyalomontis,30.91,102.54 +Astragalus monadelphus,36.07,103.75 +Astragalus monbeigii,33.0103,97.1031 +Astragalus mongholicus,44.609,130.332 +Astragalus monophyllus,42.32,86.38 +Astragalus muliensis,29.1031,99.6319 +Astragalus multiceps,36.47,77.98 +Astragalus munroi,31.47,79.8 +Astragalus nangxianensis,29.65,91.12 +Astragalus nematodioides,36.21,79.3 +Astragalus nivalis,36.85,81.67 +Astragalus ophiocarpus,38.073254,104.69114 +Astragalus oplites,30.29,81.17 +Astragalus orbicularifolius,28.85,90.45 +Astragalus oxyodon,27.8986,98.3539 +Astragalus pamirensis,37.77,75.22 +Astragalus peduncularis,36.4,99.95 +Astragalus peterae,36.92,101.32 +Astragalus pindreensis,38.073254,104.69114 +Astragalus polyacanthus,28.65,87.12 +Astragalus polycladus,33.8958,99.6806 +Astragalus porphyrocalyx,29.99605,100.269814 +Astragalus przewalskii,34.5886,100.558 +Astragalus pseudoversicolor,31.62,99.99 +Astragalus puberulus,43.35,88.3 +Astragalus pullus,28.48,98.92 +Astragalus pulvinatus,30.29,81.17 +Astragalus purpurinus,38.78,101.08 +Astragalus qingnanicus,38.073254,104.69114 +Astragalus retusifoliatus,29.9,94.87 +Astragalus rhizanthus subsp. rhizanthus,28.85,85.29 +Astragalus rigidulus,30.05,96.91 +Astragalus satoi,41.25,114.81 +Astragalus saxorum,29.85,95.76 +Astragalus scaberrimus,39.333333,106.983333 +Astragalus sedaensis,32.268129,100.332738 +Astragalus semicircularis,28.661276,97.466916 +Astragalus sikkimensis,35.86,104.2 +Astragalus sinicus,25.012526,102.700013 +Astragalus skythropos,33.1275,97.4622 +Astragalus smithianus,32.95,94.37 +Astragalus souliei,30.368117,102.81464 +Astragalus stalinskyi,44.02,89.59 +Astragalus stipulatus,27.48,88.9 +Astragalus strictus,30.979541,101.125234 +Astragalus subuliformis,28.66,97.46 +Astragalus sungpanensis,34.4533,100.275 +Astragalus sutchuenensis,31.68115,103.853481 +Astragalus talassicus,43.78,82.49 +Astragalus tibetanus,44.15,84.63333 +Astragalus tongolensis,30.92,102.93 +Astragalus tsataensis,31.47,79.8 +Astragalus tulinovii,35.68,94.05 +Astragalus tumbatsicus,29.58,94.93 +Astragalus tungensis,27.92,101.27 +Astragalus webbianus,36.02,76.45 +Astragalus weixinensis,27.177166,99.28717 +Astragalus wolungensis,38.073254,104.69114 +Astragalus yangtzeanus,27.2822,100.85195 +Astragalus yumenensis,39.2,101.68 +Astragalus yunnanensis subsp. incanus,28.48611,98.911543 +Astragalus yunnanensis subsp. yunnanensis,30.056482,101.827026 +Astragalus yutianensis,38.073254,104.69114 +Astragalus zacharensis,36.97,103.14 +Atylosia elongata,23.012914,104.394161 +Bauhinia bohniana,25.3889,98.8633 +Bauhinia brachycarpa,28.258331,99.273941 +Bauhinia comosa,27.71,102.8 +Bauhinia delavayi,35.86,104.2 +Bauhinia yunnanensis,29.22,102.35 +Caesalpinia cucullata,25.584234,100.222124 +Caesalpinia decapetala,32.083333,118.75 +Cajanus cajan,25.707567,101.873163 +Cajanus grandiflorus,23.714286,103.267858 +Callerya cinerea,25.29,98.79 +Callerya dorwardii,35.86,104.2 +Campylotropis brevifolia,27.42,101.5 +Campylotropis capillipes subsp. prainii,27.078745,100.261314 +Campylotropis capillipes var. capillipes,27.078745,100.261314 +Campylotropis delavayi,26.56023,100.17643 +Campylotropis hirtella,26.87,100.23 +Campylotropis macrocarpa var. hupehensis,33.15,106.67 +Campylotropis macrocarpa var. macrocarpa,29.9906,95.3197 +Campylotropis polyantha var. polyantha,25.012526,102.700013 +Campylotropis sulcata,21.919623,101.27736 +Campylotropis trigonoclada,24.9353,98.805 +Campylotropis wilsonii,31.08,103.26 +Campylotropis yajiangensis var. yajiangensis,28.713041,99.286333 +Campylotropis yunnanensis subsp. filipes,29,101.5 +Campylotropis yunnanensis subsp. yunnanensis,28.479167,98.808056 +Caragana arborescens,45.973419,126.723787 +Caragana bicolor,28.48611,98.911543 +Caragana boisi,31.68115,103.853481 +Caragana brevifolia,32.080278,97.02 +Caragana changduensis,29.67,97.84 +Caragana chinghaiensis var. chinghaiensis,31.62,99.99 +Caragana chinghaiensis var. minima,31.62,99.99 +Caragana crassispina,20.822336,110.577179 +Caragana dasyphylla,41.71,82.96 +Caragana davazamcii,36.57,104.68 +Caragana densa,32.637983,103.59895 +Caragana erinacea,29.28,92.12 +Caragana franchetiana var. franchetiana,27.448837,99.823051 +Caragana franchetiana var. gyirongensis,27.448837,99.823051 +Caragana gerardiana,31.479212,79.802703 +Caragana jubata var. biaurita,34.13,95.8 +Caragana jubata var. jubata,27.82308,99.706013 +Caragana jubata var. recurva,29.037008,100.298406 +Caragana junatovii,33.85,95.62 +Caragana korshinskii,37.186502,104.060837 +Caragana kozlowii,31.80612,98.580912 +Caragana licentiana,36.07,103.75 +Caragana microphylla,39.830769,116.268246 +Caragana opulens,26.876096,100.229945 +Caragana polourensis,37.2,77.07 +Caragana roborovskyi,36.075898,103.757243 +Caragana rosea,40.758684,119.759184 +Caragana sinica,41.8402,123.5924 +Caragana stenophylla,39.333333,106.983333 +Caragana sukiensis,29.05,92.4 +Caragana tangutica,32.0803,97.02 +Caragana tibetica,28.537778,99 +Caragana versicolor,31.66,100.713 +Cercis glabra,31.05,109.41 +Chamaecrista leschenaultiana,25.18,114.33 +Chesneya acaulis,31.47,79.8 +Chesneya crassipes,31.47,79.8 +Chesneya cuneata,29.1,99.6922 +Chesneya nubigena subsp. nubigena,28.36,87.76 +Chesneya nubigena subsp. purpurea,28.36,87.76 +Chesneya polystichoides,27.794479,99.587593 +Chesneya spinosa,28.91,89.6 +Cicer microphyllum,36.28,76.58 +Cladrastis delavayi,30.0489,101.9622 +Cochlianthus gracilis,30.06,102.75 +Cochlianthus montanus,22.69,112.22 +Codariocalyx motorius,25.2867,98.5911 +Colutea delavayi,27.92,101.27 +Colutea nepalensis,31.47,79.8 +Corethrodendron multijugum,36.359052,100.586509 +Corethrodendron scoparium,39.52,109.35 +Crotalaria acicularis,27.42,101.5 +Crotalaria albida,29.58,102.2 +Crotalaria linifolia var. linifolia,25.255089,110.050532 +Crotalaria mairei,24.392902,106.633387 +Crotalaria medicaginea var. medicaginea,25.25,110.05 +Crotalaria micans,21.95,100.45 +Crotalaria psoraleoides,24.952223,98.438049 +Crotalaria sessiliflora,25.32,101 +Crotalaria yunnanensis,26.655322,102.244617 +Cullen corylifolium,25.707567,101.873163 +Cytisus scoparius,29.68,115.98 +Dalbergia assamica,23.098133,113.291316 +Dalbergia mimosoides,24.914395,113.07674 +Dalbergia pinnata,23.277423,114.05216 +Dalbergia yunnanensis,25.664325,102.650987 +Dendrolobium triangulare,26.534082,100.42293 +Derris marginata,35.86,104.2 +Derris scabricaulis,29.32,95.33 +Desmodium callianthum,29.63,94.36 +Desmodium elegans var. elegans,29.9547,101 +Desmodium elegans var. handelii,28.46222,98.79972 +Desmodium gangeticum,22.929376,112.044025 +Desmodium griffithianum,35.86,104.2 +Desmodium heterocarpon var. heterocarpon,35.86,104.2 +Desmodium megaphyllum var. megaphyllum,25.3219,98.7 +Desmodium microphyllum,35.86,104.2 +Desmodium multiflorum,35.86,104.2 +Desmodium sequax,35.86,104.2 +Desmodium stenophyllum,29.04,93.07 +Desmodium williamsii,35.86,104.2 +Desmodium yunnanense,36.519977,103.891767 +Dolichos tenuicaulis,25.670153,99.958012 +Dumasia cordifolia,25.300278,98.787222 +Dumasia forrestii,24.175587,110.235565 +Dumasia villosa,22.010889,100.79926 +Entada phaseoloides,22.004345,100.788513 +Eriosema chinense,22.605812,114.031908 +Erythrina arborescens,26.87,100.23 +Erythrina stricta,23.625319,105.630906 +Flemingia fluminalis,23.9022,106.618742 +Flemingia grahamiana,26.890689,102.110335 +Flemingia macrophylla,26.534082,100.42293 +Gleditsia japonica var. delavayi,35.86,104.2 +Gleditsia sinensis,38.201958,101.955633 +Glycyrrhiza uralensis,38.97,75.42 +Glycyrrhiza yunnanensis,27.901518,99.638107 +Gueldenstaedtia alba,40.03333,116.28333 +Gueldenstaedtia gansuensis,35.73,107.63 +Gueldenstaedtia verna,40,116.35 +Gueldenstaedtia yadongensis,30.68,97.27 +Gueldenstaedtia yunnanensis,25.8833,100.017 +Hedysarum algidum var. algidum,34.5886,100.558 +Hedysarum algidum var. speciosum,30.004589,99.107741 +Hedysarum algidum var. thyrsum,34.5886,100.558 +Hedysarum alpinum,49.27,120.71 +Hedysarum campylocarpon,28.85,85.29 +Hedysarum citrinum,31.49,98.21 +Hedysarum falconeri,30.29,81.17 +Hedysarum ferganense var. poncinsii,39.72,75.25 +Hedysarum fistulosum,28.48611,98.911543 +Hedysarum flavescens,47,89.52 +Hedysarum gmelinii,39.41,112.37 +Hedysarum jinchuanense,30.91,102.54 +Hedysarum kumaonense,28.85,85.29 +Hedysarum laxiflorum,28.195427,99.962669 +Hedysarum limitaneum,35.86,104.2 +Hedysarum longigynophorum,29.88,93.25 +Hedysarum microcalyx,29.9,94.87 +Hedysarum nagarzense,29.08,87.63 +Hedysarum polybotrys var. alaschanicum,43.15,81.12 +Hedysarum polybotrys var. polybotrys,43.15,81.12 +Hedysarum pseudastragalus,29.1339,100.043 +Hedysarum sikkimense,28.195427,99.962669 +Hedysarum tanguticum,28.48611,98.911543 +Hedysarum thiochroum,27.928607,101.279419 +Hedysarum tibeticum,32.9178,97.0397 +Hedysarum xizangense,29.7547,91.9375 +Hylodesmum laxum,23.9,106.61 +Hylodesmum longipes,26.901731,98.869207 +Hylodesmum podocarpum subsp. fallax,23.125462,104.702829 +Hylodesmum podocarpum subsp. oxyphyllum,29.810805,122.28829 +Hylodesmum podocarpum subsp. podocarpum,29.810805,122.28829 +Hylodesmum williamsii,29.85,95.76 +Indigofera acutipetala,29,101.5 +Indigofera amblyantha,35.86,104.2 +Indigofera argutidens,26.11116,99.951049 +Indigofera atropurpurea,24.518994,107.410176 +Indigofera balfouriana,28.66,97.46 +Indigofera bracteata,28.85,85.29 +Indigofera bungeana,24.68123,105.334672 +Indigofera calcicola,28.795,99.8372 +Indigofera chaetodonta,25.584234,100.222124 +Indigofera cylindracea,30.066425,102.7586 +Indigofera delavayi,26.543611,98.914444 +Indigofera dolichochaete,27.92,101.27 +Indigofera dumetorum,27.92,101.27 +Indigofera franchetii,24.948611,98.451944 +Indigofera hancockii,27.8561,98.6844 +Indigofera hebepetala,28.36,87.76 +Indigofera hendecaphylla,22.007454,100.826828 +Indigofera henryi,25.558611,98.666111 +Indigofera heterantha,28.85,85.29 +Indigofera lenticellata,34.544025,95.468786 +Indigofera linifolia,26.257465,103.105257 +Indigofera mairei,30.3681,102.8147 +Indigofera muliensis,26.68,101.85 +Indigofera myosurus,28.54,102.17 +Indigofera neosericopetala,27.128668,100.231354 +Indigofera nigrescens,29.32,95.33 +Indigofera pendula,27.128668,100.231354 +Indigofera reticulata,28.85,85.29 +Indigofera rigioclada,30.06,102.75 +Indigofera scabrida,27.37,102.53 +Indigofera sensitiva,26.655322,102.244617 +Indigofera silvestrii,35.86,104.2 +Indigofera stachyodes,35.86,104.2 +Indigofera szechuensis,30.055305,101.96483 +Indigofera tenyuehensis,27.128668,100.231354 +Kummerowia striata,42.877,130.35 +Lathyrus davidii,39.162111,121.926205 +Lathyrus dielsianus,30.055305,101.96483 +Lathyrus palustris var. palustris,26.876096,100.229945 +Lathyrus palustris var. pilosus,38.79,113.43 +Lathyrus pratensis,43.0675,80.99611 +Lathyrus quinquenervius,37.286713,114.512128 +Lens culinaris,28.312222,98.871667 +Lespedeza bicolor,44.386,130.995 +Lespedeza cuneata,26.293056,110.789167 +Lespedeza davurica,35.060556,117.436944 +Lespedeza fasciculiflora var. fasciculiflora,24.9936,102.459 +Lespedeza fasciculiflora var. hengduanshanensis,27.92,101.27 +Lespedeza floribunda,35.651389,117.313056 +Lespedeza forrestii,35.86,104.2 +Lespedeza juncea,31.261549,121.383562 +Lespedeza pilosa,24.983333,112.833333 +Lespedeza potaninii,36.107933,120.415961 +Lespedeza thunbergii subsp. formosa,36.519977,103.891767 +Lespedeza tomentosa,35.651389,117.313056 +Lotus corniculatus var. corniculatus,28.65694,98.93333 +Lotus corniculatus var. japonicus,25.584234,100.222124 +Mastersia assamica,24.8325,98.7693 +Medicago archiducis-nicolaii,33.0606,97.1428 +Medicago edgeworthii,28.61833,98.88361 +Medicago falcata,46.523792,89.477538 +Medicago lupulina,48.64611,116.82055 +Medicago ruthenica,36.651016,116.99741 +Medicago sativa,46.36,122.6 +Melilotus albus,43.53333,124.83333 +Melilotus dentatus,41.81667,85.5 +Melilotus indicus,44.02,89.59 +Melilotus officinalis,40.33333,115.98333 +Millettia dielsiana var. dielsiana,27.7297,98.3892 +Millettia extensa,26.9,98.87 +Millettia pachycarpa,35.86,104.2 +Millettia pulchra var. laxior,35.86,104.2 +Millettia velutina,26.68,101.85 +Mimosa pudica,20.92,110.08 +Mucuna calophylla,26.890689,102.110335 +Mucuna hainanensis,23.127041,113.341527 +Mucuna macrocarpa,24.93,105.84 +Mucuna sempervirens,32.36667,111.16667 +Ohwia caudata,32.083333,118.75 +Oxytropis aciphylla,38,102 +Oxytropis avisoides,30.05,96.91 +Oxytropis baxoiensis,30.17,97.27 +Oxytropis bella,27.791157,99.582642 +Oxytropis bicolor,35.58066,104.610604 +Oxytropis biflora,36.08,80.02 +Oxytropis brevipedunculata,26.422222,110.5 +Oxytropis cachemiriana,32.49,80.09 +Oxytropis caerulea,39.36,114.71 +Oxytropis cinerascens,28.65,87.12 +Oxytropis deflexa,28.66,97.46 +Oxytropis densa,33.727778,99.350278 +Oxytropis densiflora var. densiflora,35.2,102.52 +Oxytropis densiflora var. multiramosa,35.2,102.52 +Oxytropis falcata var. falcata,33.57587,102.961829 +Oxytropis falcata var. maquensis,29.77,84.03 +Oxytropis gerzeensis,32.3,84.06 +Oxytropis giraldii,30.5,102.5 +Oxytropis glabra,38.78,101.08 +Oxytropis guinanensis,23.18,107.68 +Oxytropis hirsutiuscula,42.32,86.38 +Oxytropis humifusa,30.47,91.09 +Oxytropis imbricata,47.31,130.28 +Oxytropis kansuensis,34.3989,100.261 +Oxytropis lapponica,30.05,96.91 +Oxytropis latialata,31.41,95.59 +Oxytropis latibracteata var. latibracteata,38,102 +Oxytropis latibracteata var. longibracteata,38,102 +Oxytropis lehmanni,30.29,81.17 +Oxytropis linearibracteata,31.88,93.78 +Oxytropis longialata,30.65,93.25 +Oxytropis maduoensis,33.37,97.1 +Oxytropis maqinensis,38.18,100.25 +Oxytropis melanocalyx,32.77,96.67 +Oxytropis merkensis,38,102 +Oxytropis microphylla,28.85,85.29 +Oxytropis microsphaera,37,80.8 +Oxytropis mollis,28.37,90.75 +Oxytropis ochrantha,35.84,104.11 +Oxytropis ochrocephala,31.39,100.67 +Oxytropis ochrolongibracteata,38.073254,104.69114 +Oxytropis parasericeopetala,29.1911,90.6093 +Oxytropis pauciflora,30,99.1 +Oxytropis platonychia,38.073254,104.69114 +Oxytropis platysema,33.43,101.48 +Oxytropis poncinsii,35.97,77.05 +Oxytropis proboscidea,33.38,79.72 +Oxytropis pusilla,28.7,85.83 +Oxytropis qilianshanica,38.78,101.08 +Oxytropis qinghaiensis,35.0228,98.8606 +Oxytropis qingnanensis,32.254167,96.321944 +Oxytropis reniformis,31.07,92.38 +Oxytropis savellanica,32.2,96.48 +Oxytropis sericopetala,29.65,91.12 +Oxytropis squammulosa,41.11,111.45 +Oxytropis stracheyana,32,90 +Oxytropis subpodoloba,31.42,95.6 +Oxytropis taochensis,34.72,104.89 +Oxytropis tatarica,36,96 +Oxytropis thomsonii,30.65,97.57 +Oxytropis tianschanica,37.07,82.68 +Oxytropis tragacanthoides,42.26,86.86 +Oxytropis xinglongshanica,35.84,104.11 +Oxytropis yunnanensis,34.1772,97.7686 +Oxytropis zekogensis,32.1028,97.0419 +Parochetus communis,25.2883,98.8125 +Phyllolobium balfourianum,32.2483,100.1078 +Phyllolobium camptodontum,27.690106,100.758477 +Phyllolobium chinense,40.642346,117.463749 +Phyllolobium dolichochaete,30.99903,102.364372 +Phyllolobium donianum,27.98,87.13 +Phyllolobium enneaphyllum,35.86,104.2 +Phyllolobium flavovirens,27.82308,99.706013 +Phyllolobium heydei,33.2975,100.432 +Phyllolobium lasaense,29.75,91.47 +Phyllolobium lineariauriferum,40.642346,117.463749 +Phyllolobium pastorium,29.72,98.45 +Phyllolobium prodigiosum,29.58,91.15 +Phyllolobium sanbilingense,28.71,99.28 +Phyllolobium siccaneum,40.642346,117.463749 +Phyllolobium tingriense,28.85,85.29 +Phyllolobium tribulifolium,31.1842,96.6053 +Piptanthus nepalensis,35.86,104.2 +Piptanthus tomentosus,27.901974,99.638054 +Pisum sativum,34.15745,107.843975 +Pterolobium punctatum,35.86,104.2 +Pueraria calycina,26.876096,100.229945 +Pueraria edulis,26.883333,100.233333 +Pueraria montana var. thomsonii,35.86,104.2 +Pueraria peduncularis,35.86,104.2 +Pueraria wallichii,35.86,104.2 +Rhynchosia dielsii,24.983333,112.833333 +Rhynchosia himalensis var. craibiana,29.914155,102.234618 +Rhynchosia minima,26.876096,100.229945 +Rhynchosia yunnanensis,27.897245,102.265266 +Salweenia wardii,30.0521,96.919504 +Senna occidentalis,23.8,111.87 +Senna tora,26.534082,100.42293 +Sesbania bispinosa,24.388378,106.006265 +Shuteria involucrata,30.71,104.08 +Shuteria vestita,24.6961,98.8136 +Smithia ciliata,35.86,104.2 +Sophora alopecuroides,39.5,76 +Sophora benthamii,0,0 +Sophora davidii,39.535776,116.113141 +Sophora flavescens,44.609,130.332 +Sophora japonica,26.466667,111.316667 +Sophora moorcroftiana,29.7209,91.1071 +Sophora prazeri,24.35821,102.748636 +Sophora velutina var. cavaleriei,26.56023,100.17643 +Sophora velutina var. velutina,26.56023,100.17643 +Spatholobus suberectus,23.93,112.19 +Sphaerophysa salsula,42.6,85.5 +Tamarindus indica,20.44,110.2 +Tephrosia purpurea var. purpurea,26.58,101.71 +Tephrosia purpurea var. yunnanensis,26.58,101.71 +Thermopsis alpina,35.83,78 +Thermopsis barbata,27.450943,99.822693 +Thermopsis gyirongensis,28.85,85.3 +Thermopsis inflata,35.2,79.83 +Thermopsis lanceolata,28.6,86.5 +Thermopsis przewalskii,27.450943,99.822693 +Thermopsis smithiana,30.05389,101.95667 +Thermopsis turkestanica,43.15,81.12 +Thermopsis yunnanensis,27.82308,99.706013 +Thermopsis yushuensis,33.37,97.1 +Tibetia forrestii,27.82308,99.706013 +Tibetia himalaica,30.055305,101.96483 +Tibetia tongolensis,27.449234,99.822273 +Tibetia yadongensis,27.1598,101.273 +Tibetia yunnanensis var. coelestis,30.05,101.96 +Tibetia yunnanensis var. yunnanensis,27.931559,99.614517 +Trigonella cachemiriana,37.311111,75.420547 +Trigonella emodi,28.85,85.29 +Trigonella fimbriata,28.85,85.3 +Trigonella pamirica,37.77,75.22 +Uraria lacei,35.86,104.2 +Uraria picta,22.01071,100.799775 +Uraria rufescens,18.252625,109.511923 +Uraria sinensis,27.897245,102.265266 +Vicia amoena var. amoena,37.599255,108.794088 +Vicia amoena var. villosa,37.599255,108.794088 +Vicia amurensis,36.07,103.75 +Vicia bakeri,32.9,101.7 +Vicia bungei,30.855278,102.520278 +Vicia costata,44.32,85.61 +Vicia cracca,29.7547,91.9375 +Vicia dichroantha,25.8833,100.017 +Vicia hirsuta,31.249433,121.648597 +Vicia megalotropis,31.80612,98.580912 +Vicia multicaulis,38.798957,113.432164 +Vicia nummularia,28.6003,100.287 +Vicia pseudo-orobus,27.61,99.02 +Vicia sativa subsp. nigra,31.196087,121.665779 +Vicia sepium,25.012526,102.700013 +Vicia sinogigantea,40.086536,116.062143 +Vicia ternata,31.9,102.22 +Vicia tibetica,35.86,104.2 +Vicia unijuga,43.5,116.816667 +Vicia villosa,44.21944,81.15833 +Vigna aconitifolia,26.11116,99.951049 +Vigna minima,35.86,104.2 +Vigna trilobata,27.928607,101.279419 +Vigna vexillata,31.83,101.67 +Zornia gibbosa,22.604825,114.032681 +Polygala arillata,24.615701,100.709786 +Polygala bomiensis,30.4578,100.302 +Polygala crotalarioides,28.85,85.29 +Polygala didyma,27.71666,98.61666 +Polygala elegans,28.85,85.3 +Polygala globulifera var. longiracemosa,0,0 +Polygala karensium var. karensium,0,0 +Polygala lhunzeensis,0,0 +Polygala lijiangensis,26.82,100.23 +Polygala monopetala,31.5978,100.367 +Polygala persicariifolia,25.46,105.28 +Polygala sibirica,35.86,104.2 +Polygala tatarinowii,35.86,104.2 +Polygala tenuifolia,44.609,129.858 +Polygala wattersii,31.331599,110.783718 +Salomonia cantoniensis,22.308333,111.1025 +Acomastylis elata var. elata,26.537043,99.905548 +Acomastylis elata var. leiocarpa,32.26,100.97 +Agrimonia pilosa var. nepalensis,27.7386,98.3489 +Agrimonia pilosa var. pilosa,35.86,104.2 +Alchemilla glabra,47.85,88.13 +Alchemilla gracilis,27.82308,99.706013 +Alchemilla japonica,44.157024,87.987324 +Amygdalus kansuensis,27.928607,101.279419 +Amygdalus mira,35.86,104.2 +Amygdalus persica,27.7606,98.6772 +Amygdalus tangutica,31.68115,103.853481 +Armeniaca holosericea,28.66,97.46 +Armeniaca mume var. mume,25.012526,102.700013 +Armeniaca mume var. pallescens,27.928607,101.279419 +Armeniaca vulgaris var. ansu,36.75,112.69 +Armeniaca vulgaris var. vulgaris,36.107933,120.415961 +Aruncus gombalanus,35.86,104.2 +Aruncus sylvester,31.824099,108.629497 +Arundina graminifolia,35.86,104.2 +Cerasus caudata,35.86,104.2 +Cerasus cerasoides,25.2975,98.7953 +Cerasus clarofolia,35.86,104.2 +Cerasus conadenia,27.928607,101.279419 +Cerasus crataegifolia,28.48611,98.911543 +Cerasus mugus,27.21,98.7 +Cerasus patentipila,28.48611,98.911543 +Cerasus pleiocerasus,28.672732,104.010884 +Cerasus polytricha,31.824099,108.629497 +Cerasus pusilliflora,24.35821,102.748636 +Cerasus rufa var. rufa,35.86,104.2 +Cerasus serrula,27.5,100.56 +Cerasus setulosa,29.914155,102.234618 +Cerasus stipulacea,34.43808,104.036837 +Cerasus tatsienensis,35.86,104.2 +Cerasus tomentosa,32.055645,118.797741 +Cerasus trichantha,28.85,85.29 +Cerasus trichostoma,35.86,104.2 +Cerasus yunnanensis var. polybotrys,26.876096,100.229945 +Cerasus yunnanensis var. yunnanensis,26.86,98.86 +Chaenomeles speciosa,35.86,104.2 +Chaenomeles thibetica,30.1023,95.1115 +Chamaerhodos erecta,47.92,122.61 +Chamaerhodos sabulosa,32.49,80.09 +Coluria longifolia,34.6333,99.7333 +Coluria oligocarpa,31.08,103.26 +Comarum salesovianum,32.120833,97.035 +Cotoneaster acuminatus,31.824099,108.629497 +Cotoneaster acutifolius var. acutifolius,32.144677,110.712211 +Cotoneaster acutifolius var. villosulus,31.331599,110.783718 +Cotoneaster adpressus,35.86,104.2 +Cotoneaster affinis,28.4322,85.2589 +Cotoneaster ambiguus,29.9889,100.935 +Cotoneaster apiculatus,30.05,101.96 +Cotoneaster bullatus,28.9164,102.216 +Cotoneaster buxifolius,29.6008,102.068 +Cotoneaster chengkangensis,30.368117,102.81464 +Cotoneaster conspicuus,28.66,97.46 +Cotoneaster coriaceus,29.22,102.35 +Cotoneaster dammerii var. dammeri,27.44164,104.873643 +Cotoneaster dammerii var. radicans,32.405556,104.522499 +Cotoneaster dielsianus,28.1031,98.3264 +Cotoneaster divaricatus,36.519977,103.891767 +Cotoneaster foveolatus,32.637983,103.59895 +Cotoneaster franchetii,35.86,104.2 +Cotoneaster frigidus,26.02,98.64 +Cotoneaster glaucophyllus var. glaucophyllus,25.255089,110.050532 +Cotoneaster glomerulatus,28.661276,97.466916 +Cotoneaster gracilis,31.331599,110.783718 +Cotoneaster harrysmithii,30.91,102.54 +Cotoneaster hebephyllus var. hebephyllus,27.90306,99.63722 +Cotoneaster hebephyllus var. incanus,27.90306,99.63722 +Cotoneaster horizontalis,34.5,105.833333 +Cotoneaster integerrimus,43.828,128.706 +Cotoneaster langei,27.42,101.5 +Cotoneaster microphyllus var. cochleatus,27.129162,100.23555 +Cotoneaster microphyllus var. glacialis,27.129162,100.23555 +Cotoneaster microphyllus var. microphyllus,27.129162,100.23555 +Cotoneaster microphyllus var. thymifolius,40.02,116.21 +Cotoneaster moupinensis,35.86,104.2 +Cotoneaster multiflorus var. atropurpureus,29.85,95.76 +Cotoneaster multiflorus var. multiflorus,36.85,102.15 +Cotoneaster nitens,32.1047,102.8025 +Cotoneaster nitidifolius,32.06,108.04 +Cotoneaster nitidus,25.36,98.72 +Cotoneaster obscurus,26.8,100.2667 +Cotoneaster pannosus,27.9839,98.6614 +Cotoneaster rhytidophyllus,36.519977,103.891767 +Cotoneaster rotundifolius,29.65,91.12 +Cotoneaster rubens var. minimus,30.91,102.54 +Cotoneaster rubens var. rubens,28.491111,98.939722 +Cotoneaster salicifolius,36.519977,103.891767 +Cotoneaster sanguineus,28.85,85.29 +Cotoneaster sherriffii,28.48611,98.911543 +Cotoneaster soongoricus,35.20256,102.521732 +Cotoneaster subadpressus,35.86,104.2 +Cotoneaster submultiflorus,29.9719,95.3647 +Cotoneaster taylorii,29.033333,93.216667 +Cotoneaster tenuipes,32.080278,97.02 +Cotoneaster verruculosus,25.9739,98.685 +Cotoneaster wardii,27.099444,98.872222 +Cotoneaster zabelii,32.7103,97.4197 +Crataegus chungtienensis,31.1419,100.909 +Crataegus cuneata,32.2,119.42 +Crataegus kansuensis,40.10626,115.554928 +Crataegus oresbia,27.177166,99.28717 +Crataegus pinnatifida,36.519977,103.891767 +Crataegus scabrifolia,41.83,123.56 +Dichotomanthes tristaniicarpa,26.65,102.24 +Docynia delavayi,35.86,104.2 +Docynia indica,26.58,101.71 +Duchesnea chrysantha,31.82,108.62 +Duchesnea indica var. indica,25.9556,98.7383 +Duchesnea indica var. microphylla,29.85,95.76 +Eriobotrya elliptica,29.32,95.33 +Eriobotrya fragrans,24.07,114.17 +Eriobotrya henryi,35.86,104.2 +Eriobotrya japonica,28.433333,110.4 +Eriobotrya prinoides,27.422643,101.509187 +Eriobotrya salwinensis,35.86,104.2 +Eriobotrya tengyuehensis,35.86,104.2 +Filipendula vestita,27.92,101.27 +Fragaria daltoniana,25.98181,98.683914 +Fragaria gracilis,35.86,104.2 +Fragaria moupinensis,35.86,104.2 +Fragaria nilgerrensis var. mairei,35.86,104.2 +Fragaria nilgerrensis var. nilgerrensis,35.86,104.2 +Fragaria nubicola,28.85,85.29 +Fragaria orientalis,32.085556,97.011944 +Fragaria pentaphylla,33.392394,104.926525 +Fragaria vesca,33.97,107.24 +Geum aleppicum,27.93009,99.615288 +Geum elatum var. elatum,32.27,96.22 +Geum elatum var. humile,32.27,96.22 +Geum elatum var. leiocarpum,32.27,96.22 +Geum japonicum var. chinense,29.496119,103.398589 +Geum macrosepalum,28,91.95 +Laurocerasus hypotricha,29.980513,103.013166 +Laurocerasus phaeosticta f. lasioclada,35.86,104.2 +Laurocerasus phaeosticta f. phaeosticta,35.86,104.2 +Laurocerasus undulata f. microbotrys,29.496119,103.398589 +Laurocerasus undulata f. undulata,21.957355,100.452547 +Laurocerasus zippeliana,29.990847,109.484961 +Maddenia himalaica,35.86,104.2 +Maddenia hypoxantha,31.7256,100.744 +Maddenia incisoserrata,30.717765,104.623983 +Maddenia wilsonii,30.140276,110.576959 +Malus asiatica,31.251048,108.497189 +Malus baccata,27.791981,106.40115 +Malus daochengensis,29.1419,99.6497 +Malus halliana,25.012526,102.700013 +Malus hupehensis,35.86,104.2 +Malus kansuensis,33.140483,103.870133 +Malus mandshurica,33.4,111.9 +Malus micromalus,26.876096,100.229945 +Malus ombrophila,35.86,104.2 +Malus prattii,30.066708,102.758313 +Malus prunifolia,40.075413,116.048101 +Malus pumila,33.081569,107.045478 +Malus rockii,35.86,104.2 +Malus sieboldii,26.466667,111.316667 +Malus sieversii,43.30554,82.692736 +Malus sikkimensis,26.876096,100.229945 +Malus spectabilis,38.590879,108.846037 +Malus toringoides,31.68115,103.853481 +Malus transitoria var. centralasiatica,35.36984,103.708727 +Malus transitoria var. glabrescens,31.2603,96.865 +Malus transitoria var. transitoria,31.2603,96.865 +Malus yunnanensis var. veitchii,33.392394,104.926525 +Malus yunnanensis var. yunnanensis,27.7078,98.4969 +Neillia affinis var. affinis,36.519977,103.891767 +Neillia affinis var. pauciflora,35.86,104.2 +Neillia breviracemosa,35.86,104.2 +Neillia densiflora,27.48,88.9 +Neillia fugongensis,35.86,104.2 +Neillia gracilis,27.711428,102.807301 +Neillia grandiflora,27.448875,99.823532 +Neillia ribesioides,36.519977,103.891767 +Neillia rubiflora,27.48,88.9 +Neillia serratisepala,35.86,104.2 +Neillia sinensis var. sinensis,36.519977,103.891767 +Neillia sparsiflora,25.73,101.32 +Neillia thibetica var. lobata,30.066708,102.758313 +Neillia thibetica var. thibetica,27.448875,99.823532 +Neillia thyrsiflora var. thyrsiflora,29.85,95.76 +Neillia thyrsiflora var. tunkinensis,29.85,95.76 +Osteomeles schwerinae var. microphylla,33.976111,103.514167 +Osteomeles schwerinae var. schwerinae,24.9936,102.459 +Padus avium,41.81,126.91 +Padus brachypoda,35.86,104.2 +Padus brunnescens,29.914155,102.234618 +Padus grayana,23.634745,102.826592 +Padus napaulensis,35.86,104.2 +Padus obtusata,35.86,104.2 +Padus perulata,35.86,104.2 +Padus stellipila,31.11,109.87 +Padus velutina,30.91,102.54 +Padus wilsonii,25.012526,102.700013 +Photinia beauverdiana,36.519977,103.891767 +Photinia bodinieri var. bodinieri,24.32306,109.49222 +Photinia glabra,35.86,104.2 +Photinia glomerata,30.561162,114.381419 +Photinia integrifolia,24.976725,101.487417 +Photinia lasiogyna,35.86,104.2 +Photinia megaphylla,29.32,95.33 +Photinia prionophylla,29.037008,100.298406 +Photinia serratifolia,32.235878,110.800758 +Potentilla acaulis,35.69,105.05 +Potentilla angustiloba,45.93,83.6 +Potentilla anserina,34.266111,100.284167 +Potentilla argyrophylla var. argyrophylla,31.47,79.8 +Potentilla argyrophylla var. atrosanguinea,28.85,85.29 +Potentilla aristata,33.376944,100.29 +Potentilla articulata var. articulata,28.48611,98.911543 +Potentilla articulata var. latipetiolata,29.89,91.26 +Potentilla biflora var. biflora,34.04,104.39 +Potentilla biflora var. lahulensis,34.04,104.39 +Potentilla bifurca var. bifurca,32.9222,97.2917 +Potentilla bifurca var. humilior,32.9222,97.2917 +Potentilla bifurca var. major,45.739735,132.136688 +Potentilla bifurca var. pusilla,29.77,84.03 +Potentilla chinensis,32.094444,97.266667 +Potentilla conferta var. conferta,29.85,95.76 +Potentilla conferta var. trijuga,29.85,95.76 +Potentilla contigua,29.63,94.36 +Potentilla coriandrifolia var. coriandrifolia,35.86,104.2 +Potentilla coriandrifolia var. dumosa,29.63,94.36 +Potentilla coriandrifolia var. purpurea,35.86,104.2 +Potentilla crenulata,27.2822,100.85195 +Potentilla cuneata,35.86,104.2 +Potentilla delavayi,28.85,85.29 +Potentilla dryadanthoides,28.7742,86.2194 +Potentilla eriocarpa var. eriocarpa,28.403923,99.449669 +Potentilla eriocarpa var. tsarongensis,24.8308,98.7678 +Potentilla fallens,30.05,101.96 +Potentilla flagellaris,46.48,122.88 +Potentilla fragarioides,46.06,122.6 +Potentilla freyniana var. freyniana,32.068431,119.011825 +Potentilla fruticosa var. albicans,31.13,97.18 +Potentilla fruticosa var. arbuscula,26.876096,100.229945 +Potentilla fruticosa var. fruticosa,27.82308,99.706013 +Potentilla fruticosa var. pumila,29.77,84.03 +Potentilla gelida,36.519977,103.891767 +Potentilla glabra var. glabra,36.519977,103.891767 +Potentilla glabra var. mandshurica,34.692659,103.353131 +Potentilla glabra var. veitchii,27.177166,99.28717 +Potentilla gombalana,36.519977,103.891767 +Potentilla granulosa,31.80612,98.580912 +Potentilla griffithii var. griffithii,29.63,94.36 +Potentilla griffithii var. velutina,29.63,94.36 +Potentilla hololeuca,37.1,79.93 +Potentilla hypargyrea var. hypargyrea,35.86,104.2 +Potentilla hypargyrea var. subpinnata,35.86,104.2 +Potentilla inclinata,45.93,83.6 +Potentilla kleiniana,35.86,104.2 +Potentilla lancinata,29.000343,101.507299 +Potentilla leuconota var. brachyphyllaria,31.712092,88.118532 +Potentilla leuconota var. leuconota,28.596944,99.867778 +Potentilla lineata,35.86,104.2 +Potentilla longifolia,41.25,114.81 +Potentilla macrosepala,27.82308,99.706013 +Potentilla microphylla var. luteopilosa,28.15,100.71 +Potentilla microphylla var. microphylla,28.36,87.76 +Potentilla microphylla var. tapetodes,27.48,88.9 +Potentilla multicaulis,36.519977,103.891767 +Potentilla multiceps,37.62,78.28 +Potentilla multifida var. multifida,36.67,114.06 +Potentilla multifida var. nubigena,36.67,114.06 +Potentilla multifida var. ornithopoda,39,112.3 +Potentilla nervosa,43.15,81.12 +Potentilla pamiroalaica,37.636262,75.507662 +Potentilla parvifolia var. armerioides,33,97.02 +Potentilla parvifolia var. hypoleuca,36.519977,103.891767 +Potentilla parvifolia var. parvifolia,36.519977,103.891767 +Potentilla peduncularis var. peduncularis,31.712092,88.118532 +Potentilla plumosa,28.61833,98.88361 +Potentilla polyphylla var. interrupta,35.86,104.2 +Potentilla polyphylla var. polyphylla,28.04,98.8 +Potentilla potaninii var. compsophylla,29.1411,99.9644 +Potentilla potaninii var. potaninii,29.1411,99.9644 +Potentilla reptans var. sericophylla,36.09,110.68 +Potentilla saundersiana var. caespitosa,29.3858,100.149 +Potentilla saundersiana var. jacquemontii,28.661276,97.466916 +Potentilla saundersiana var. saundersiana,29.1025,99.6708 +Potentilla saundersiana var. subpinnata,28.48611,98.911543 +Potentilla sericea var. polyschista,28.55,89.68 +Potentilla sericea var. sericea,33.38,79.73 +Potentilla simulatrix,39.31,115.24 +Potentilla sischanensis var. peterae,33.392394,104.926525 +Potentilla sischanensis var. sischanensis,33.392394,104.926525 +Potentilla stenophylla var. emergens,29.000343,101.507299 +Potentilla stenophylla var. stenophylla,29.000343,101.507299 +Potentilla supina,35.86,104.2 +Potentilla tanacetifolia,36.07,103.75 +Potentilla taronensis,35.86,104.2 +Potentilla turfosa var. gracilescens,31.712092,88.118532 +Potentilla turfosa var. turfosa,31.712092,88.118532 +Potentilla virgata var. pinnatifida,44.02,89.59 +Potentilla virgata var. virgata,44.02,89.59 +Potentilla xizangensis,29.63,94.36 +Prinsepia uniflora var. serrata,34.43,104.03 +Prinsepia utilis,25.869611,102.593464 +Prunus armeniaca var. holosericea,28.66,97.46 +Prunus buergeriana,29.679788,121.017356 +Prunus cerasoides,25.2975,98.7953 +Prunus clarofolia,35.86,104.2 +Prunus conadenia,31.824099,108.629497 +Prunus cornuta var. cornuta,28.85,85.29 +Prunus cornuta var. integrifolia,28.85,85.29 +Prunus crataegifolia,27.42,101.5 +Prunus mira,31.7781,101.324 +Prunus mume,22.627814,114.319204 +Prunus napaulensis,25.8333,99.9833 +Prunus obtusata,32.9,104.33 +Prunus rufa var. rufa,28.17,85.98 +Prunus rufa var. trichantha,28.42,92.47 +Prunus salicina var. pubipes,35.84,104.11 +Prunus salicina var. salicina,26.876096,100.229945 +Pygeum henryi,35.86,104.2 +Pygeum macrocarpum,23.125462,104.702829 +Pygeum wilsonii var. wilsonii,35.86,104.2 +Pyracantha angustifolia,35.86,104.2 +Pyracantha crenulata,25.526439,111.600795 +Pyracantha fortuneana,27.74166,98.6675 +Pyrus betulifolia,36.30355,120.54013 +Pyrus bretschneideri,37.469868,121.454425 +Pyrus pashia,35.86,104.2 +Pyrus pseudopashia,25.9,99.36667 +Pyrus pyrifolia,26.466667,111.316667 +Pyrus ussuriensis,43.7,127.139 +Pyrus xerophila,34.30417,106.2075 +Rosa acicularis,43.76,128.456 +Rosa albertii,47.810049,88.069013 +Rosa banksiae var. banksiae,33.22,107.54 +Rosa banksiae var. normalis,24.706769,102.928677 +Rosa brunonii,26.876096,100.229945 +Rosa calyptopoda,30.91,102.54 +Rosa chinensis,24.8128,100.5478 +Rosa cymosa var. cymosa,29.78,118.18 +Rosa davidii,28.6819,101.58 +Rosa deqenensis,28.48611,98.911543 +Rosa derongensis,28.71,99.28 +Rosa duplicata,28.66,97.46 +Rosa fedtschenkoana,43.429931,83.260768 +Rosa filipes,36.519977,103.891767 +Rosa forrestiana f. forrestiana,29.037008,100.298406 +Rosa forrestiana f. glandulosa,29.037008,100.298406 +Rosa giraldii,34.5,105.833333 +Rosa glomerata,30.06,102.75 +Rosa graciliflora,32.710278,97.419722 +Rosa helenae f. duplicata,26.876096,100.229945 +Rosa helenae f. glandulifera,26.876096,100.229945 +Rosa helenae f. helenae,29.157849,107.099276 +Rosa hugonis,31.68115,103.853481 +Rosa laxa var. kaschgarica,37.88,77.41 +Rosa laxa var. laxa,44.32,85.61 +Rosa lichiangensis,26.876096,100.229945 +Rosa longicuspis var. longicuspis,27.129833,98.829417 +Rosa longicuspis var. sinowilsonii,35.86,104.2 +Rosa lucidissima,22.391288,106.817838 +Rosa ludingensis,29.91,102.23 +Rosa macrophylla var. glandulifera,27.48,88.9 +Rosa macrophylla var. macrophylla,27.48,88.9 +Rosa mairei,27.928607,101.279419 +Rosa moyesii,30.055305,101.96483 +Rosa multibracteata,29.157849,107.099276 +Rosa multiflora var. carnea,30.19,119.36 +Rosa multiflora var. cathayensis,24.608333,114.144444 +Rosa multiflora var. multiflora,36.65,116.99 +Rosa murielae,31.084,103.267 +Rosa odorata var. gigantea,25.275367,103.003972 +Rosa odorata var. odorata,25.275367,103.003972 +Rosa omeiensis var. omeiensis,35.86,104.2 +Rosa omeiensis var. paucijuga,35.86,104.2 +Rosa omeiensis var. pteracantha,26.876096,100.229945 +Rosa persetosa,30.06,102.75 +Rosa pinnatisepala f. glandulosa,29.91,102.23 +Rosa pinnatisepala f. pinnatisepala,29.91,102.23 +Rosa praelucens,27.82308,99.706013 +Rosa prattii,30.066708,102.758313 +Rosa primula,39,112.3 +Rosa pseudobanksiae,25.343755,100.491321 +Rosa roxburghii f. esetosa,31.68115,103.853481 +Rosa roxburghii f. normalis,29.805032,106.395571 +Rosa roxburghii f. roxburghii,27.080633,100.261093 +Rosa rubus,32.93361,107.78361 +Rosa sericea f. glandulosa,27.177166,99.28717 +Rosa sericea f. pteracantha,35.86,104.2 +Rosa sericea f. sericea,27.129564,100.234131 +Rosa sertata var. multijuga,30.37,102.82 +Rosa sertata var. sertata,29.5,110.333333 +Rosa setipoda,35.20256,102.521732 +Rosa sikangensis,29.0758,99.9189 +Rosa sinobiflora,27.740736,98.66582 +Rosa soulieana var. microphylla,30.05,96.91 +Rosa soulieana var. soulieana,31.9822,100.964 +Rosa soulieana var. sungpanensis,32.637983,103.59895 +Rosa soulieana var. yunnanensis,28.9403,102.103 +Rosa sweginzowii var. glandulosa,30.055305,101.96483 +Rosa sweginzowii var. sweginzowii,30.055305,101.96483 +Rosa taronensis,29.65,91.12 +Rosa tibetica,30.74,95.82 +Rosa tsinglingensis,34.014617,107.8107 +Rosa webbiana,30.29,81.17 +Rosa weisiensis,26.56023,100.17643 +Rosa willmottiae var. glandulifera,24.706769,102.928677 +Rosa willmottiae var. willmottiae,27.82308,99.706013 +Rosa xanthina,39.102475,117.307172 +Rosa zhongdianensis,27.82308,99.706013 +Rubus alexeterius var. acaenocalyx,29.65,91.12 +Rubus alexeterius var. alexeterius,29.65,91.12 +Rubus amabilis var. amabilis,34.589587,103.507111 +Rubus amabilis var. microcarpus,34.589587,103.507111 +Rubus angustibracteatus,30.36,102.81 +Rubus assamensis,35.86,104.2 +Rubus aurantiacus,32.06,108.04 +Rubus austrotibetanus,35.86,104.2 +Rubus biflorus var. adenophorus,28.85,85.29 +Rubus biflorus var. biflorus,29.7372,96.065 +Rubus biflorus var. pubescens,27.42,101.5 +Rubus calycinus,35.86,104.2 +Rubus chroosepalus,36.519977,103.891767 +Rubus chrysobotrys var. chrysobotrys,35.86,104.2 +Rubus clivicola,27.740736,98.66582 +Rubus cockburnianus,35.86,104.2 +Rubus coreanus var. coreanus,31.05,109.41 +Rubus coreanus var. tomentosus,31.82,108.62 +Rubus delavayi,25.7167,100.033 +Rubus doyonensis,25.841921,98.857727 +Rubus ellipticus var. ellipticus,35.86,104.2 +Rubus ellipticus var. obcordatus,35.86,104.2 +Rubus erythrocarpus var. erythrocarpus,35.86,104.2 +Rubus erythrocarpus var. weixiensis,27.177166,99.28717 +Rubus eucalyptus,36.519977,103.891767 +Rubus flosculosus,29.9906,95.3197 +Rubus fockeanus,29.5769,102 +Rubus fragarioides var. adenophorus,28.66,97.46 +Rubus fragarioides var. fragarioides,35.86,104.2 +Rubus fragarioides var. pubescens,35.86,104.2 +Rubus fuscifolius,27.7386,98.3489 +Rubus gongshanensis var. gongshanensis,27.715,98.5086 +Rubus gongshanensis var. qiujiangensis,35.86,104.2 +Rubus gyamdaensis,30.36,102.81 +Rubus hypargyrus,34.544025,95.468786 +Rubus hypopitys var. hanmiensis,29.32,95.33 +Rubus hypopitys var. hypopitys,35.86,104.2 +Rubus idaeopsis,35.86,104.2 +Rubus inopertus var. inopertus,35.86,104.2 +Rubus irritans,29.63,94.36 +Rubus lambertianus var. glaber,26.957913,106.852277 +Rubus lambertianus var. lambertianus,35.86,104.2 +Rubus lasiostylus var. lasiostylus,31.5,110.5 +Rubus laxus,35.86,104.2 +Rubus lineatus,27.7231,98.5869 +Rubus lutescens,27.03332,100.17733 +Rubus macilentus,30.36,102.81 +Rubus mesogaeus var. mesogaeus,25.584234,100.222124 +Rubus mesogaeus var. oxycomus,25.584234,100.222124 +Rubus metoensis,29.32,95.33 +Rubus multisetosus,25.7,100.117 +Rubus niveus,26.56667,104.86667 +Rubus nyalamensis,28.65,87.12 +Rubus paniculatus,25.5031,99.6342 +Rubus parvifolius var. adenochlamys,27.295062,116.911804 +Rubus pectinarioides,35.86,104.2 +Rubus pectinellus,29.157849,107.099276 +Rubus pedunculosus,29.0758,99.9189 +Rubus pentagonus,27.6292,98.6292 +Rubus phoenicolasius,34.05,111.04 +Rubus pileatus,36.519977,103.891767 +Rubus playfairianus,36.519977,103.891767 +Rubus pluribracteatus,24.83,98.76 +Rubus poliophyllus,35.86,104.2 +Rubus polyodontus,35.86,104.2 +Rubus pseudopileatus var. glabratus,29.49,103.39 +Rubus pseudopileatus var. kangdingensis,30.055305,101.96483 +Rubus pseudopileatus var. pseudopileatus,30.368117,102.81464 +Rubus ptilocarpus,30.1469,101.86 +Rubus pungens var. linearisepalus,27.177166,99.28717 +Rubus pungens var. oldhamii,33.981028,108.20147 +Rubus pungens var. pungens,26.876096,100.229945 +Rubus reticulatus,29.32,95.33 +Rubus rubrisetulosus,35.86,104.2 +Rubus rufus,30.321,102.7916 +Rubus sachalinensis,45.792899,132.231509 +Rubus setchuenensis,28.94,102.249 +Rubus sikkimensis,30.2,99.42 +Rubus stans var. soulieanus,28.66,97.46 +Rubus stans var. stans,28.66,97.46 +Rubus stimulans,25.584234,100.222124 +Rubus subinopertus,35.86,104.2 +Rubus subornatus var. melanadenus,25.8833,100.017 +Rubus subornatus var. subornatus,28.94,102.249 +Rubus subtibetanus var. subtibetanus,32.48,104.77 +Rubus sumatranus,35.86,104.2 +Rubus taronensis,28.1147,98.3164 +Rubus thibetanus,34.04,104.39 +Rubus treutleri,23.763342,98.82524 +Rubus tricolor,29.5864,102.028 +Rubus trijugus,27.42,101.5 +Rubus wallichianus,27.9527,98.327797 +Rubus wardii,35.86,104.2 +Rubus xanthocarpus,30.055305,101.96483 +Sanguisorba diandra,28.12,85.99 +Sanguisorba filiformis,30,94.22 +Sanguisorba officinalis,46.45,122.93 +Sibbaldia adpressa,30.93,88.7 +Sibbaldia cuneata,27.794315,99.587143 +Sibbaldia glabriuscula,35.86,104.2 +Sibbaldia micropetala,36.519977,103.891767 +Sibbaldia pentaphylla,29,101.5 +Sibbaldia perpusilloides,35.86,104.2 +Sibbaldia phanerophlebia,25.869611,102.593465 +Sibbaldia procumbens var. aphanopetala,35.86,104.2 +Sibbaldia pulvinata,35.86,104.2 +Sibbaldia purpurea var. macropetala,29.914155,102.234618 +Sibbaldia purpurea var. purpurea,33.97,107.24 +Sibbaldia sikkimensis,35.86,104.2 +Sibbaldia tenuis,36.519977,103.891767 +Sibbaldia tetrandra,32.883056,96.685 +Sibiraea angustata,27.82308,99.706013 +Sibiraea laevigata,36.4,99.95 +Sibiraea tomentosa,27.82308,99.706013 +Sorbaria arborea var. arborea,34.56,110.09 +Sorbaria arborea var. glabrata,35.86,104.2 +Sorbaria arborea var. subtomentosa,30.0092,94.9669 +Sorbaria kirilowii,33.392394,104.926525 +Sorbaria tomentosa,31.47,79.8 +Sorbus albopilosa,27.48,88.9 +Sorbus aronioides,35.86,104.2 +Sorbus astateria,35.86,104.2 +Sorbus coronata var. coronata,29.32,95.33 +Sorbus coronata var. glabrescens,29.32,95.33 +Sorbus cuspidata,35.86,104.2 +Sorbus epidendron,35.86,104.2 +Sorbus filipes,29.65,91.12 +Sorbus foliolosa,29.32,95.33 +Sorbus glomerulata,29.91,102.23 +Sorbus helenae,29.496119,103.398589 +Sorbus hemsleyi,26.32496,114.514242 +Sorbus hupehensis,28.53805,98.87972 +Sorbus insignis,28.48611,98.911543 +Sorbus keissleri,24.8308,98.7678 +Sorbus kiukiangensis var. glabrescens,35.86,104.2 +Sorbus kiukiangensis var. kiukiangensi,35.86,104.2 +Sorbus koehneana,35.86,104.2 +Sorbus lanpingensis,26.453601,99.416689 +Sorbus megacarpus,26.38,108.07 +Sorbus meliosmifolia,28.53963,103.954021 +Sorbus microphylla,25.584234,100.222124 +Sorbus monbeigii,35.86,104.2 +Sorbus multijuga,29.22,102.35 +Sorbus ochracea,29.32,95.33 +Sorbus oligodonta,35.86,104.2 +Sorbus pallescens,26.876096,100.229945 +Sorbus poteriifolia,28.39888,98.82083 +Sorbus prattii var. aestivalis,28.63611,98.66555 +Sorbus prattii var. prattii,28.63611,98.66555 +Sorbus pteridophylla var. pteridophylla,35.86,104.2 +Sorbus pteridophylla var. tephroclada,35.86,104.2 +Sorbus reducta var. pubescens,35.86,104.2 +Sorbus reducta var. reducta,35.86,104.2 +Sorbus rehderiana var. cupreonitens,29.560833,94.566667 +Sorbus rehderiana var. grosseserrata,35.86,104.2 +Sorbus rehderiana var. rehderiana,35.86,104.2 +Sorbus rhamnoides,35.86,104.2 +Sorbus rufopilosa,35.86,104.2 +Sorbus salwinensis,26.901731,98.869207 +Sorbus sargentiana,29.496119,103.398589 +Sorbus setschwanensis,29.914155,102.234618 +Sorbus subochracea,29.32,95.33 +Sorbus tapashana,34.04,104.39 +Sorbus thibetica,28.1775,98.786389 +Sorbus thomsonii,23.519195,110.462487 +Sorbus tianschanica,30.222233,110.871148 +Sorbus ursina,28.27,98.73 +Sorbus vilmorinii,35.86,104.2 +Sorbus wilsoniana,25.60168,110.585686 +Sorbus zayuensis,28.66,97.46 +Spenceria ramalana,30.055305,101.96483 +Spiraea alpina,34.594167,99.839167 +Spiraea aquilegifolia,41.79,114.58 +Spiraea arcuata,29.58,95 +Spiraea bella var. bella,27.128635,100.23114 +Spiraea bella var. pubicarpa,28.85,85.29 +Spiraea calcicola,27.0983,100.175 +Spiraea canescens var. canescens,25.584234,100.222124 +Spiraea canescens var. glaucophylla,25.584234,100.222124 +Spiraea compsophylla,35.86,104.2 +Spiraea daochengensis,29.037008,100.298406 +Spiraea henryi,35.86,104.2 +Spiraea japonica var. acuminata,35.86,104.2 +Spiraea japonica var. acuta,25.584234,100.222124 +Spiraea japonica var. fortunei,28.52075,114.37098 +Spiraea japonica var. incisa,26.901731,98.869207 +Spiraea japonica var. ovalifolia,35.86,104.2 +Spiraea japonica var. pinnatifida,27.127667,113.96146 +Spiraea laeta var. laeta,31.084,103.267 +Spiraea laeta var. tenuis,31.084,103.267 +Spiraea lichiangensis,26.3,99.2 +Spiraea lobulata,29.85,95.76 +Spiraea longigemmis,30.368117,102.81464 +Spiraea mollifolia var. glabrata,31.48,93.67 +Spiraea mollifolia var. mollifolia,31.57,100.72 +Spiraea mongolica var. mongolica,32.080278,97.02 +Spiraea mongolica var. tomentulosa,32.77,96.67 +Spiraea muliensis,27.92,101.27 +Spiraea myrtilloides,30.511499,103.481974 +Spiraea ovalis,34.05,111.04 +Spiraea papillosa var. papillosa,27.928607,101.279419 +Spiraea papillosa var. yunnanensis,27.928607,101.279419 +Spiraea purpurea,25.6508,98.7322 +Spiraea rosthornii,29.5,103.333333 +Spiraea sargentiana,31.084,103.267 +Spiraea schneideriana var. amphidoxa,29.1411,99.9283 +Spiraea schneideriana var. schneideriana,29.1411,99.9283 +Spiraea siccanea,26.56023,100.17643 +Spiraea sublobata,29.914155,102.234618 +Spiraea veitchii,35.86,104.2 +Spiraea velutina var. glabrescens,35.86,104.2 +Spiraea velutina var. velutina,28.66,97.46 +Spiraea wilsonii,35.86,104.2 +Spiraea xizangensis,28.58,92.5 +Spiraea yunnanensis,24.976725,101.487417 +Stranvaesia davidiana var. davidiana,30.766998,104.122032 +Stranvaesia davidiana var. undulata,24.95476,115.650136 +Stranvaesia nussia,26.56023,100.17643 +Elaeagnus angustata,30.511499,103.481974 +Elaeagnus bockii var. bockii,26.876096,100.229945 +Elaeagnus bockii var. muliensis,26.876096,100.229945 +Elaeagnus delavayi,35.86,104.2 +Elaeagnus henryi,35.86,104.2 +Elaeagnus kanaii,36.519977,103.891767 +Elaeagnus lanceolata,30.066708,102.758313 +Elaeagnus lanpingensis,27.9839,98.6614 +Elaeagnus multiflora,29.69,111.02 +Elaeagnus pallidiflora,27.24,105.72 +Elaeagnus umbellata,27.0226,100.205 +Elaeagnus viridis,27.6672,98.7233 +Elaeagnus xizangensis,29.63,94.36 +Hippophae gyantsensis,29.65,91.12 +Hippophae neurocarpa,34.556111,99.901667 +Hippophae rhamnoides subsp. sinensis,34.683333,100.683333 +Hippophae rhamnoides subsp. turkestanica,42.059792,86.574079 +Hippophae rhamnoides subsp. yunnanensis,35.86,104.2 +Hippophae salicifolia,28.2,90.82 +Hippophae tibetana,34.3575,100.256 +Berchemia edgeworthii,30.6358,97.6661 +Berchemia flavescens,29.58,94.92 +Berchemia floribunda,22.655294,114.304044 +Berchemia hirtella,35.86,104.2 +Berchemia longipedicellata,29.85,95.76 +Berchemia polyphylla,36.519977,103.891767 +Berchemia sinica,36.519977,103.891767 +Berchemia yunnanensis,36.519977,103.891767 +Hovenia acerba var. acerba,35.86,104.2 +Hovenia acerba var. kiukiangensis,27.402909,102.17533 +Paliurus orientalis,28.262715,103.571742 +Rhamnella forrestii,35.86,104.2 +Rhamnella gilgitica,28.48611,98.911543 +Rhamnella julianae,35.86,104.2 +Rhamnella martinii,36.519977,103.891767 +Rhamnella wilsonii,30.99903,102.364372 +Rhamnus dumetorum var. crenoserrata,35.86,104.2 +Rhamnus dumetorum var. dumetorum,35.86,104.2 +Rhamnus erythroxylum,33.15,106.67 +Rhamnus flavescens,30.74,95.82 +Rhamnus gilgiana,25.6311,98.6736 +Rhamnus hemsleyana var. hemsleyana,35.86,104.2 +Rhamnus henryi,27.8986,98.3539 +Rhamnus heterophylla,26.67,106.33 +Rhamnus leptophylla,24.48333,109.73333 +Rhamnus maximovicziana,30.99903,102.364372 +Rhamnus minuta,39.46,75.99 +Rhamnus napalensis,35.86,104.2 +Rhamnus nigricans,24.688873,101.641935 +Rhamnus ninglangensis,27.2822,100.85195 +Rhamnus parvifolia,43.789,126.529 +Rhamnus procumbens,28.85,85.29 +Rhamnus prostrata,28.85,85.29 +Rhamnus rosthornii,32.78,104.77 +Rhamnus sargentiana,35.86,104.2 +Rhamnus tangutica,29.914155,102.234618 +Rhamnus utilis var. szechuanensis,30.91,102.54 +Rhamnus utilis var. utilis,29.69,111.02 +Rhamnus virgata var. hirsuta,29.32,95.33 +Rhamnus virgata var. virgata,29.32,95.33 +Rhamnus xizangensis,35.86,104.2 +Sageretia brandrethiana,26.876096,100.229945 +Sageretia filiformis,25.5,98.966667 +Sageretia gracilis,24.9936,102.459 +Sageretia hamosa,28.292516,117.245492 +Sageretia henryi,25.3219,98.7 +Sageretia horrida,28.7817,99.3075 +Sageretia paucicostata,30.4578,100.302 +Sageretia pycnophylla,28.795,99.8372 +Sageretia thea var. thea,27.12,121.47 +Sageretia thea var. tomentosa,22.391288,106.817838 +Ziziphus incurva,25.03,109.92 +Ziziphus jujuba var. spinosa,34.15745,107.843975 +Ziziphus mairei,25.012526,102.700013 +Ziziphus montana,24.976725,101.487417 +Ziziphus xiangchengensis,26.876096,100.229945 +Celtis biondii,26.466667,111.316667 +Celtis bungeana,31.3164,102.0006 +Celtis cerasifera,31.321335,110.746783 +Celtis julianae,31.321335,110.746783 +Celtis tetrandra,35.86,104.2 +Celtis timorensis,29.32,95.33 +Pteroceltis tatarinowii,24.32306,109.49222 +Trema levigata,25.9625,98.8261 +Trema orientalis,24.48333,109.73333 +Ulmus androssowii var. subhirsuta,35.86,104.2 +Ulmus bergmanniana var. bergmanniana,35.86,104.2 +Ulmus bergmanniana var. lasiophylla,35.86,104.2 +Ulmus changii var. kunmingensis,27.17,107.4 +Ulmus davidiana var. japonica,43.727,127.333 +Ulmus glaucescens var. glaucescens,37.49,105.68 +Ulmus glaucescens var. lasiocarpa,37.49,105.68 +Ulmus kunmingensis,25.25,110.05 +Ulmus laevis,43.80957,87.605583 +Ulmus macrocarpa,39.535776,116.113141 +Ulmus microcarpa,28.66,97.46 +Zelkova serrata,27.871175,117.858917 +Zelkova sinica,31.5,110.5 +Cannabis sativa,30.368117,102.81464 +Capparis bodinieri,35.86,104.2 +Capparis spinosa,43.81,87.6 +Humulus lupulus,34.56,105.72 +Artocarpus gongshanensis,35.86,104.2 +Artocarpus heterophyllus,22.823037,108.373351 +Broussonetia kazinoki,23.351747,113.411891 +Broussonetia kurzii,35.86,104.2 +Broussonetia papyrifera,39.944625,116.393353 +Ficus auriculata,23.763342,98.82524 +Ficus chapaensis,0,0 +Ficus concinna,0,0 +Ficus cyrtophylla,35.86,104.2 +Ficus esquiroliana,35.86,104.2 +Ficus filicauda var. filicauda,27.7306,98.4078 +Ficus filicauda var. longipes,29.32,95.33 +Ficus fulva,19.121187,109.083491 +Ficus glaberrima,24.68123,105.334672 +Ficus hederacea,35.86,104.2 +Ficus henryi,35.86,104.2 +Ficus heteromorpha,35.86,104.2 +Ficus ischnopoda,35.86,104.2 +Ficus laevis,23.519195,110.462487 +Ficus neriifolia,35.86,104.2 +Ficus oligodon,35.86,104.2 +Ficus prostrata,21.917,101.25 +Ficus pubigera,22.653799,108.310905 +Ficus sarmentosa var. duclouxii,26.683211,101.855074 +Ficus sarmentosa var. luducca,27.9067,98.6558 +Ficus sarmentosa var. nipponica,28.115802,119.573404 +Ficus sarmentosa var. sarmentosa,23.351747,113.411891 +Ficus semicordata,21.917,101.25 +Ficus subincisa,22.010889,100.79926 +Ficus subulata,22.01071,100.799775 +Ficus tikoua,28.289694,99.433891 +Ficus tinctoria subsp. gibbosa,35.86,104.2 +Ficus virens,21.99259,100.806717 +Maclura cochinchinensis,24.983333,112.833333 +Maclura fruticosa,23.880344,100.092755 +Maclura tricuspidata,36.345778,118.138965 +Morus alba,30.511499,103.481974 +Morus australis,33.03,108.24 +Morus deqenensis,28.48611,98.911543 +Morus macroura,25.984444,98.643889 +Morus mongolica,39.36,114.71 +Morus notabilis,29.16,103.14 +Boehmeria clidemioides var. clidemioides,35.86,104.2 +Boehmeria clidemioides var. diffusa,35.86,104.2 +Boehmeria glomerulifera,35.86,104.2 +Boehmeria macrophylla var. canescens,23.39,106.62 +Boehmeria macrophylla var. rotundifolia,23.831362,108.785483 +Boehmeria penduliflora,24.976725,101.487417 +Boehmeria polystachya,29.32,95.33 +Boehmeria spicata,25.39,112.94 +Boehmeria umbrosa,24.655471,115.938699 +Chamabainia cuspidata,26.32496,114.514242 +Debregeasia longifolia,24.276807,102.970004 +Debregeasia orientalis,24.392902,106.633387 +Debregeasia saeneb,28.85,85.29 +Dendrocnide sinuata,29.32,95.33 +Droguetia iners subsp. urticoides,24.8308,98.7678 +Elatostema acutitepalum,35.86,104.2 +Elatostema auriculatum var. auriculatum,27.8947,98.6658 +Elatostema auriculatum var. strigosum,35.86,104.2 +Elatostema beibengense,29.32,95.33 +Elatostema boehmerioides,29.32,95.33 +Elatostema cuneiforme var. cuneiforme,29.32,95.33 +Elatostema cuneiforme var. gracilipes,29.32,95.33 +Elatostema cuspidatum var. cuspidatum,27.17,107.4 +Elatostema cuspidatum var. dolichoceras,26.453601,99.416689 +Elatostema didymocephalum,29.32,95.33 +Elatostema dulongense,0,0 +Elatostema eriocephalum,29.32,95.33 +Elatostema ferrugineum,35.86,104.2 +Elatostema ficoides,29.49,103.39 +Elatostema grandidentatum,29.16,107.1 +Elatostema gungshanense,35.86,104.2 +Elatostema hookerianum,24.8309,98.768 +Elatostema imbricans,29.32,95.33 +Elatostema integrifolium,18.516726,110.029085 +Elatostema involucratum,28.676309,118.242051 +Elatostema laevissimum,24.813333,98.782778 +Elatostema laxicymosum,29.32,95.33 +Elatostema lineolatum,24.186045,113.415062 +Elatostema litseifolium,29.32,95.33 +Elatostema macintyrei,25,107.04 +Elatostema medogense,29.32,95.33 +Elatostema monandrum,24.615701,100.709786 +Elatostema nasutum,35.86,104.2 +Elatostema obtusum,23.310937,110.090325 +Elatostema pachyceras,23.363,104.250727 +Elatostema papillosum,29.32,95.33 +Elatostema parvum var. brevicuspis,29.32,95.33 +Elatostema platyceras,35.86,104.2 +Elatostema platyphyllum,35.86,104.2 +Elatostema procridioides,29.32,95.33 +Elatostema pseudocuspidatum,35.86,104.2 +Elatostema pseudoficoides,35.86,104.2 +Elatostema recticaudatum,29.32,95.33 +Elatostema sinense,30.066708,102.758313 +Elatostema subcuspidatum,29.16,107.1 +Elatostema tenuicaudatoides,35.86,104.2 +Elatostema tetratepalum,29.32,95.33 +Elatostema yangbiense,26.68,101.85 +Elatostema yui,35.86,104.2 +Girardinia diversifolia subsp. diversifolia,35.86,104.2 +Girardinia diversifolia subsp. triloba,28.55,107.44 +Gonostegia hirta,30.0087,94.9578 +Laportea bulbifera,43.815,127.972 +Laportea cuspidata,41.451,127.92 +Laportea medogensis,29.32,95.33 +Lecanthus peduncularis,35.86,104.2 +Lecanthus petelotii var. corniculata,29.32,95.33 +Lecanthus petelotii var. yunnanensis,35.86,104.2 +Maoutia puya,35.86,104.2 +Oreocnide frutescens subsp. frutescens,35.86,104.2 +Oreocnide frutescens subsp. occidentalis,35.86,104.2 +Oreocnide integrifolia,22.762995,107.112032 +Parietaria micrantha,35.21,106.65 +Pellionia heteroloba,35.86,104.2 +Pilea angulata,25.75,105 +Pilea anisophylla,29.85,95.76 +Pilea approximata var. approximata,28.85,85.29 +Pilea approximata var. incisoserrata,28.85,85.29 +Pilea auricularis,29.32,95.33 +Pilea bracteosa,28.66,97.46 +Pilea cordifolia,27.7386,98.3489 +Pilea glaberrima,35.86,104.2 +Pilea hilliana,29.39,110.16 +Pilea insolens,29.85,95.76 +Pilea japonica,26.32496,114.514242 +Pilea linearifolia,28.85,85.29 +Pilea longipedunculata,35.86,104.2 +Pilea macrocarpa,0,0 +Pilea martinii,0,0 +Pilea medogensis,0,0 +Pilea melastomoides,0,0 +Pilea monilifera,0,0 +Pilea multicellularis,0,0 +Pilea myriantha,25.703422,100.134946 +Pilea oxyodon,29.32,95.33 +Pilea pauciflora,35.20256,102.521732 +Pilea pellionioides,35.86,104.2 +Pilea peperomioides,35.86,104.2 +Pilea plataniflora,35.86,104.2 +Pilea pseudonotata,25.2975,98.7953 +Pilea pumila var. obtusifolia,32.94,104.68 +Pilea pumila var. pumila,32.94,104.68 +Pilea pumila var. umbrosa,32.94,104.68 +Pilea racemosa,29.22,91.77 +Pilea salwinensis,35.86,104.2 +Pilea scripta,28.85,85.29 +Pilea semisessilis,35.86,104.2 +Pilea sinofasciata,27.9364,98.65 +Pilea squamosa,29.32,95.33 +Pilea ternifolia,28,91.95 +Pilea umbrosa var. obesa,29.32,95.33 +Pilea verrucosa,30.996299,103.612264 +Poikilospermum lanceolatum,29.32,95.33 +Pouzolzia argenteonitida,27.7386,98.3489 +Pouzolzia calophylla,28.66,97.46 +Pouzolzia sanguinea var. elegans,27.82308,99.706013 +Pouzolzia sanguinea var. sanguinea,31.712092,88.118532 +Procris crenata,25.305,98.79 +Sarcochlamys pulcherrima,35.86,104.2 +Urtica ardens,29.971944,95.364722 +Urtica atrichocaulis,26.24,105.93 +Urtica cannabina,34.707778,100.244167 +Urtica dioica subsp. afghanica,32.49,80.09 +Urtica dioica subsp. dioica,29.74,91.11 +Urtica dioica subsp. gansuensis,30.91,102.54 +Urtica fissa,30.221249,120.122664 +Urtica hyperborea,34.177222,97.768611 +Urtica kunlunshanica,37,80.8 +Urtica laetevirens subsp. cyanescen,29.496119,103.398589 +Urtica laetevirens subsp. laetevirens,29.496119,103.398589 +Urtica mairei,35.86,104.2 +Urtica membranifolia,28.36,87.76 +Urtica triangularis subsp. pinnatifida,28.48611,98.911543 +Urtica triangularis subsp. triangularis,27.48,88.9 +Urtica triangularis subsp. trichocarpa,28.48611,98.911543 +Urtica urens,27.48,88.9 +Castanea mollissima,21.729161,101.582407 +Castanopsis delavayi,24.694715,100.083336 +Castanopsis echinocarpa,25.6739,98.6606 +Castanopsis hystrix,26.466667,111.316667 +Castanopsis indica,21.919547,101.277187 +Castanopsis longispina,29.32,95.33 +Castanopsis orthacantha,24.913958,100.31089 +Castanopsis rockii,23.27,105.783167 +Castanopsis tribuloides,29.32,95.33 +Castanopsis wattii,24.53,101.02 +Cyclobalanopsis augustinii,25.6311,98.6736 +Cyclobalanopsis delavayi,26.87,100.23 +Cyclobalanopsis fleuryi,35.86,104.2 +Cyclobalanopsis gambleana,35.86,104.2 +Cyclobalanopsis glauca,35.86,104.2 +Cyclobalanopsis glaucoides,22.753063,100.893393 +Cyclobalanopsis gracilis,23.127041,113.341527 +Cyclobalanopsis kiukiangensis var. kiukiangensis,35.86,104.2 +Cyclobalanopsis kiukiangensis var. xizangensis,29.32,95.33 +Cyclobalanopsis lamellosa,35.86,104.2 +Cyclobalanopsis lobbii,35.86,104.2 +Cyclobalanopsis motuoensis,29.32,95.33 +Cyclobalanopsis myrsinifolia,35.86,104.2 +Cyclobalanopsis oxyodon,35.86,104.2 +Cyclobalanopsis semiserrata,27.758333,98.591389 +Fagus longipetiolata,24.9,112.96 +Lithocarpus arcaulus,22.01071,100.799775 +Lithocarpus cleistocarpus var. omeiensis,27.44164,104.873642 +Lithocarpus collettii,29.32,95.33 +Lithocarpus confinis,25.012526,102.700013 +Lithocarpus craibianus,35.86,104.2 +Lithocarpus dealbatus subsp. dealbatus,35.86,104.2 +Lithocarpus dealbatus subsp. mannii,35.86,104.2 +Lithocarpus fenestratus,35.86,104.2 +Lithocarpus gracilipes,29.32,95.33 +Lithocarpus grandifolius,35.86,104.2 +Lithocarpus hancei,35.86,104.2 +Lithocarpus hypoglaucus,26.683211,101.855074 +Lithocarpus listeri,29.32,95.33 +Lithocarpus litseifolius var. litseifolius,24.913958,100.31089 +Lithocarpus mairei,25.012526,102.700013 +Lithocarpus obscurus,29.32,95.33 +Lithocarpus pachyphyllus,29.32,95.33 +Lithocarpus pakhaensis,22.983563,103.687613 +Lithocarpus pasania,22.01071,100.799775 +Lithocarpus pseudoxizangensis,24.983333,112.833333 +Lithocarpus variolosus,25.7,100.1 +Lithocarpus xizangensis,29.32,95.33 +Quercus acrodonta,23.997769,105.159356 +Quercus aliena var. acutiserrata,32.059064,119.418318 +Quercus aliena var. aliena,34.3,105.98361 +Quercus aquifolioides,27.08493,100.263008 +Quercus baronii,31.68115,103.853481 +Quercus cocciferoides,27.4,102.17 +Quercus dentata var. dentata,27.177166,99.28717 +Quercus dolicholepis,27.3222,100.219 +Quercus engleriana,30.511499,103.481974 +Quercus fabri,29.739725,121.407386 +Quercus franchetii,24.706769,102.928677 +Quercus griffithii,23.869209,116.94221 +Quercus guajavifolia,28.7464,100.269 +Quercus lanata,30,94.88 +Quercus lodicosa,29.32,95.33 +Quercus malacotricha,26.91,104.2 +Quercus mongolica,42.38407,128.09348 +Quercus monimotricha,29.914155,102.234618 +Quercus rehderiana,26.75,100 +Quercus semecarpifolia,30.055305,101.96483 +Quercus senescens,25.012526,102.700013 +Quercus serrata var. serrata,32.055645,118.797741 +Quercus spathulata var. elliptica,25.827253,100.575146 +Quercus spathulata var. spathulata,25.827253,100.575146 +Quercus spinosa,25.841921,98.857727 +Quercus variabilis,32.055645,118.797741 +Quercus yunnanensis,26.272222,110.718056 +Myrica esculenta,35.86,104.2 +Myrica nana,25.32,100.93 +Carya tonkinensis,35.86,104.2 +Engelhardtia aceriflora,35.86,104.2 +Engelhardtia colebrookiana,23.9,106.61 +Engelhardtia spicata,35.86,104.2 +Juglans cathayensis,28.812239,110.234088 +Juglans sigillata,26.876096,100.229945 +Platycarya strobilacea,24.32306,109.49222 +Pterocarya delavayi,35.86,104.2 +Pterocarya insignis,33.97,107.24 +Pterocarya stenoptera,23.1868,113.3642 +Alnus cremastogyne,36.519977,103.891767 +Alnus ferdinandi-coburgii,28.01,102.84 +Alnus lanata,30.055305,101.96483 +Alnus nepalensis,35.86,104.2 +Betula albo-sinensis,35.3,111.67 +Betula alnoides,35.86,104.2 +Betula calcicola,28.713041,99.286333 +Betula cylindrostachya,35.86,104.2 +Betula delavayi var. delavayi,31.9744,100.9408 +Betula delavayi var. microstachya,31.49,98.21 +Betula delavayi var. polyneura,26.876096,100.229945 +Betula fargesii,31.331599,110.783718 +Betula gynoterminalis,35.86,104.2 +Betula insignis,30.06,102.75 +Betula jiulungensis,29,101.5 +Betula luminifera,25.39,98.32 +Betula platyphylla,32.746389,97.347222 +Betula potaninii,29.1531,101.407 +Betula rhombibracteata,28.48611,98.911543 +Betula tianschanica,43.39333,87.20833 +Betula utilis,32.080278,97.02 +Carpinus cordata var. mollis,32.435432,105.843358 +Carpinus fargesiana,36.519977,103.891767 +Carpinus monbeigiana,28.04,98.6 +Carpinus polyneura,30.368117,102.81464 +Carpinus tschonoskii,36.519977,103.891767 +Carpinus viminea var. chiukiangensis,35.86,104.2 +Carpinus viminea var. viminea,36.519977,103.891767 +Corylus chinensis,28.36444,98.83222 +Corylus ferox var. ferox,33.6875,107.86194 +Corylus ferox var. thibetica,29.5864,102.028 +Corylus heterophylla var. sutchuenensis,29.671778,115.989221 +Corylus mandshurica,33.9853,105.477 +Corylus wangii,31.37,109.62 +Corylus yunnanensis,35.86,104.2 +Ostrya japonica,29.000343,101.507299 +Ostryopsis davidiana,43.93,116.25 +Ostryopsis nobilis,27.446908,100.290082 +Coriaria nepalensis,26.993353,100.194626 +Coriaria terminalis,30.368117,102.81464 +Actinostemma tenerum,30.247126,120.144424 +Bolbostemma biglandulosum var. sinuato-lobulatum,23.160603,106.288701 +Edgaria darjeelingensis,29.32,95.33 +Gynostemma aggregatum,28.48611,98.911543 +Gynostemma longipes,25.678797,103.106271 +Gynostemma pentaphyllum,30.051382,122.115193 +Hemsleya amabilis,25.7,100.1 +Hemsleya delavayi var. delavayi,28.54,102.17 +Hemsleya dulongjiangensis,35.86,104.2 +Hemsleya endecaphylla,35.86,104.2 +Hemsleya graciliflora,26.293056,110.789167 +Hemsleya lijiangensis,26.56023,100.17643 +Hemsleya macrocarpa var. grandiflora,35.86,104.2 +Herpetospermum pedunculosum,29.58,94.92 +Hodgsonia heteroclita,21.92309,101.276001 +Indofevillea khasiana,29.32,95.33 +Momordica cochinchinensis,35.86,104.2 +Momordica subangulata subsp. renigera,27.770556,98.654444 +Mukia maderaspatana,23.22,108.22 +Neoalsomitra clavigera,29.32,95.33 +Schizopepon bicirrhosus,18.884983,110.51403 +Schizopepon bomiensis,29.32,95.33 +Schizopepon dioicus var. dioicus,31.37,109.62 +Schizopepon longipes,30.05,101.96 +Schizopepon macranthus,23.763342,98.82524 +Schizopepon xizangensis,29.32,95.33 +Sinobaijiania yunnanensis,22.697654,100.860736 +Solena heterophylla,25.6333,100.167 +Thladiantha cordifolia,30.08,102.05 +Thladiantha dentata,26.00537,110.599945 +Thladiantha dubia,43.815,127.972 +Thladiantha grandisepala,35.86,104.2 +Thladiantha hookeri,35.86,104.2 +Thladiantha lijiangensis,30.1711,101.869 +Thladiantha longifolia,24.175587,110.235565 +Thladiantha longisepala,28.48611,98.911543 +Thladiantha maculata,34.054197,111.047906 +Thladiantha medogensis,29.326875,95.328655 +Thladiantha montana,35.86,104.2 +Thladiantha nudiflora,29.5,110.333333 +Thladiantha oliveri,33.15,106.67 +Thladiantha setispina,30.055305,101.96483 +Thladiantha villosula,35.86,104.2 +Trichosanthes cordata,29.32,95.33 +Trichosanthes cucumeroides var. dicoelosperma,29.32,95.33 +Trichosanthes dunniana,35.86,104.2 +Trichosanthes lepiniana,35.86,104.2 +Trichosanthes pilosa,24.8309,98.768 +Trichosanthes rosthornii,23.739129,113.788907 +Trichosanthes rubriflos,35.86,104.2 +Trichosanthes subrosea,22.28,109.97 +Trichosanthes tricuspidata,29.32,95.33 +Trichosanthes wallichiana,24.345875,105.313869 +Zehneria bodinieri,24.813473,98.83284 +Zehneria japonica,27.72892,98.359558 +Begonia acetosella,29.32,95.33 +Begonia asperifolia,28.66,97.46 +Begonia ceratocarpa,22.69,103.83 +Begonia flaviflora,35.86,104.2 +Begonia grandis subsp. sinensis,25.012526,102.700013 +Begonia hatacoa,29.238919,95.176571 +Begonia henryi,27.8534,101.25 +Begonia imitans,27.706389,98.300556 +Begonia josephii,28,91.95 +Begonia labordei,25.401389,98.723333 +Begonia muliensis,30.066708,102.758313 +Begonia palmata var. crassisetulosa,24.8378,98.7647 +Begonia palmata var. palmata,18.252013,109.504134 +Begonia picta,29.32,95.33 +Begonia sikkimensis,29.32,95.33 +Begonia taliensis,25.017663,102.326684 +Celastrus angulatus,26.466667,111.316667 +Celastrus gemmatus,26.466667,111.316667 +Celastrus glaucophyllus var. glaucophyllus,35.86,104.2 +Celastrus glaucophyllus var. rugosus,35.86,104.2 +Celastrus hindsii,26.466667,111.316667 +Celastrus hirsutus,35.86,104.2 +Celastrus hookeri,35.86,104.2 +Celastrus membranifolius,35.86,104.2 +Celastrus monospermus,27.7386,98.3489 +Celastrus paniculatus,29.39,110.16 +Celastrus rosthornianus var. loeseneri,35.86,104.2 +Celastrus rosthornianus var. rosthornianus,35.86,104.2 +Celastrus stylosus,25.635,98.7153 +Celastrus vaniotii,31.824099,108.629497 +Euonymus acanthocarpus,35.86,104.2 +Euonymus alatus,31.22222,121.45806 +Euonymus amygdalifolius,35.86,104.2 +Euonymus attenunatus,29.25,118.12 +Euonymus austro-tibetanus,35.286629,93.911746 +Euonymus carnosus,29.671778,115.989221 +Euonymus ceratophorus,27.9525,98.3278 +Euonymus clivicola var. clivicola,29.7692,95.6854 +Euonymus clivicola var. rongchuensis,29.7692,95.6854 +Euonymus cornutus,36.519977,103.891767 +Euonymus dasydictyon,32.637983,103.59895 +Euonymus echinatus,35.86,104.2 +Euonymus fimbriatus,28.48611,98.911543 +Euonymus frigidus var. frigidus,35.86,104.2 +Euonymus frigidus var. wardii,35.86,104.2 +Euonymus fugongensis,35.86,104.2 +Euonymus giraldii,33.037845,108.247744 +Euonymus gongshanensis,35.86,104.2 +Euonymus grandiflorus,25.4667,102.767 +Euonymus hamiltonianus,28.542509,121.346505 +Euonymus laxiflorus,35.86,104.2 +Euonymus lichiangensis,26.856667,100.180278 +Euonymus lucidus,28.36,87.76 +Euonymus maackii,35.060556,117.436944 +Euonymus microcarpus,30.966552,111.261345 +Euonymus monbeigii,35.86,104.2 +Euonymus nanoides,38.277304,106.253125 +Euonymus nanus,34.882085,106.812269 +Euonymus phellomanus,31.5,110.5 +Euonymus porphyreus var. ellipticus,27.8,101 +Euonymus porphyreus var. porphyreus,35.86,104.2 +Euonymus roseperulatus,29.25,118.12 +Euonymus sanguineus var. brevipedunculatus,33.92,106.52 +Euonymus sanguineus var. camptoneurus,29.914155,102.234618 +Euonymus sanguineus var. sanguineus,36.519977,103.891767 +Euonymus semenovii,30.8503,101.277 +Euonymus theifolius,24.8308,98.7678 +Euonymus tibeticus,29.63,94.36 +Euonymus tingens,35.86,104.2 +Euonymus vagans,24.58669,98.689166 +Euonymus verrucosoides var. apertus,42.78,128.51 +Euonymus verrucosoides var. verrucosoides,35.86,104.2 +Euonymus verrucosoides var. viridiflorus,34.04,104.39 +Euonymus viburnoides,26.655322,102.244617 +Euonymus zogangensis,29.25,118.12 +Gymnosporia berberoides,25.7167,100.233 +Gymnosporia rufa,28.85,85.29 +Microtropis discolor,35.86,104.2 +Microtropis macrophylla,29.32,95.33 +Microtropis tetragona,35.86,104.2 +Parnassia angustipetala,27.93,101.28 +Parnassia brevistyla,28.1247,101.1608 +Parnassia cacuminum,32.77,96.67 +Parnassia chinensis,30.6,93.47 +Parnassia cooperi,29.32,95.33 +Parnassia cordata,27.740736,98.66582 +Parnassia crassifolia,35.86,104.2 +Parnassia degeensis,28.1304,99.8534 +Parnassia deqenensis,27.177166,99.28717 +Parnassia epunctulata,35.86,104.2 +Parnassia farreri,27.740736,98.66582 +Parnassia filchneri,27.928607,101.279419 +Parnassia kangdingensis,30.86,102.681389 +Parnassia lanceolata,26.12,99.95 +Parnassia lijiangensis,26.6582,99.6857 +Parnassia longipetala var. brevipetala,28.48611,98.911543 +Parnassia longipetala var. longipetala,27.6325,98.6117 +Parnassia longipetala var. striata,27.177166,99.28717 +Parnassia longipetaloides,27.7,98.56666 +Parnassia lutea,29.78,94.72 +Parnassia mysorensis,27.48,88.9 +Parnassia noemiae,31.824099,108.629497 +Parnassia oreophila,36.519977,103.891767 +Parnassia palustris,43.7,127.139 +Parnassia pusilla,35.86,104.2 +Parnassia qinghaiensis,33.2975,100.432 +Parnassia scaposa,32.77,96.67 +Parnassia submysorensis,27.82308,99.706013 +Parnassia subscaposa,28.48,98.92 +Parnassia tenella,27.82308,99.706013 +Parnassia trinervis,31.18,91.8 +Parnassia venusta,35.86,104.2 +Parnassia viridiflora,34.15,107.84 +Parnassia wightiana,35.86,104.2 +Parnassia yanyuanensis,30.055305,101.96483 +Parnassia yui,35.86,104.2 +Parnassia yulongshanensis,29.7017,98.5256 +Parnassia yunnanensis var. longistipitata,30.05,101.97 +Parnassia yunnanensis var. yunnanensis,35.86,104.2 +Tripterygium wilfordii,24.913331,113.082651 +Oxalis corniculata,20.06,110.33 +Oxalis griffithii,24.388378,106.006265 +Oxalis leucolepis,30.06,102.75 +Elaeocarpus braceanus,35.86,104.2 +Elaeocarpus brachystachyus,35.86,104.2 +Elaeocarpus dubius,23.13,112.58 +Elaeocarpus harmandii,35.86,104.2 +Elaeocarpus japonicus var. japonicus,35.86,104.2 +Elaeocarpus japonicus var. lantsangensis,35.86,104.2 +Elaeocarpus lacunosus,23.880344,100.092756 +Elaeocarpus lanceifolius,35.86,104.2 +Elaeocarpus petiolatus,18.626309,109.700342 +Elaeocarpus prunifolioides,21.941271,101.255528 +Elaeocarpus rugosus,18.626309,109.700342 +Elaeocarpus sikkimensis,23.763342,98.82524 +Elaeocarpus varunua,35.86,104.2 +Sloanea dasycarpa,21.62593,101.58338 +Sloanea hemsleyana,31.33,110.78 +Sloanea mollis,18.252013,109.504134 +Sloanea rotundifolia,25.095833,110.583333 +Sloanea sterculiacea,35.86,104.2 +Acalypha mairei,25.371037,102.5797 +Acalypha schneideriana,27.928607,101.279419 +Acalypha supera,25.012526,102.700013 +Balakata baccata,29.32,95.33 +Baliospermum bilobatum,29.32,95.33 +Baliospermum solanifolium,22.034036,100.787247 +Cleidion spiciflorum,22.010889,100.79926 +Croton euryphyllus,22.76,107.11 +Croton yunnanensis var. yunnanensis,27.42,101.5 +Discocleidion rufescens,24.518994,107.410176 +Euphorbia altotibetica,34.563611,99.950833 +Euphorbia donii,34.563611,99.950833 +Euphorbia esula,41.843,126.886 +Euphorbia griffithii,27.48,88.9 +Euphorbia heishuiensis,30.99903,102.364372 +Euphorbia helioscopia,34.658333,100.626944 +Euphorbia hirta,25.79,114.53 +Euphorbia humifusa,38.86,115.47 +Euphorbia hylonoma,31.9497,98.595 +Euphorbia hypericifolia,23.695857,109.213028 +Euphorbia jolkinii,27.818816,99.642874 +Euphorbia kansuensis,34.4533,100.275 +Euphorbia micractina,34.3108,99.1814 +Euphorbia prolifera,27.42,101.5 +Euphorbia pseudosikkimensis,28.66,97.46 +Euphorbia sericocarpa,26.876096,100.229945 +Euphorbia sieboldiana,42.51,124.409 +Euphorbia stracheyi,35.86,104.2 +Euphorbia thymifolia,24.44,114.93 +Euphorbia tibetica,34.3108,99.1814 +Euphorbia wallichii,27.129196,100.235283 +Excoecaria acerifolia,29.62,98.33 +Homonoia riparia,22.75,109.2 +Jatropha curcas,24.47,118.08 +Macaranga denticulata,29.32,95.33 +Macaranga indica,29.32,95.33 +Macaranga pustulata,28.66,97.46 +Mallotus barbatus var. barbatus,22.446542,111.031652 +Mallotus nepalensis,35.86,104.2 +Mallotus philippensis var. philippensis,35.86,104.2 +Mallotus repandus var. chrysocarpus,25.39996,112.948819 +Mallotus repandus var. repandus,24.32306,109.49222 +Mercurialis leiocarpa,30.06,102.75 +Ostodes katharinae,35.86,104.2 +Ostodes paniculata,18.62,109.7 +Ricinus communis,34.14,108.03 +Speranskia cantonensis,24.32306,109.49222 +Speranskia tuberculata,31.466667,103.516667 +Triadica sebifera,29.3,102.47 +Vernicia fordii,35.86,104.2 +Antidesma montana,24.983333,112.833333 +Breynia patens,29.32,95.33 +Flueggea suffruticosa,43.86361,128.91333 +Glochidion daltonii,35.86,104.2 +Glochidion hirsutum,23.490446,111.295924 +Glochidion medogense,29.32,95.33 +Glochidion nubigenum,29.32,95.33 +Glochidion thomsonii,29.32,95.33 +Leptopus chinensis,30.368117,102.81464 +Leptopus clarkei,24.966667,102.633333 +Phyllanthus clarkei,28.85,85.29 +Phyllanthus emblica,35.86,104.2 +Phyllanthus flexuosus,25.255089,110.050532 +Phyllanthus forrestii,30.966552,111.261345 +Phyllanthus glaucus,24.983333,112.833333 +Phyllanthus tsarongensis,35.86,104.2 +Phyllanthus urinaria,24.983333,112.833333 +Securinega leucopyrus,28.71,99.28 +Aspidopterys floribunda,24.857555,98.734772 +Aspidopterys glabriuscula,29.32,95.33 +Hiptage acuminata,35.86,104.2 +Passiflora cupiformis,24.392902,106.633387 +Passiflora wilsonii,29.32,95.33 +Casearia glomerata,23.831362,108.785483 +Homalium ceylanicum,21.941271,101.255528 +Idesia polycarpa var. polycarpa,29.5367,107.2833 +Poliothyrsis sinensis,31.68115,103.853481 +Populus 脳gansuensis,36.901447,102.351974 +Populus adenopoda,31.4,109.98 +Populus afghanica var. afghanica,37.88,77.41 +Populus afghanica var. tadishistanica,39.15,75.95 +Populus cathayana var. cathayana,30.808889,102.724444 +Populus cathayana var. latifolia,33.524483,107.990638 +Populus ciliata var. ciliata,27.177166,99.28717 +Populus ciliata var. gyirongensis,29.64,91.18 +Populus ciliata var. weixi,27.177166,99.28717 +Populus davidiana var. davidiana,28.53722,98.87916 +Populus davidiana var. tomentella,38.23,111.29 +Populus euphratica,41.046734,86.107574 +Populus glauca,32.02,109.33 +Populus haoana var. haoana,27.82308,99.706013 +Populus haoana var. macrocarpa,27.177166,99.28717 +Populus haoana var. microcarpa,27.177166,99.28717 +Populus kangdingensis,30.05,101.96 +Populus lancifolia,40.13,94.67 +Populus lasiocarpa,29.69,102.51 +Populus mainlingensis,29.18,94.07 +Populus pamirica,38.89,75.2 +Populus przewalskii,32.94,104.68 +Populus pseudoglauca,29.85,95.76 +Populus purdomii var. purdomii,30.066708,102.758313 +Populus purdomii var. rockii,33.69,107.91 +Populus qamdoensis,31.13,97.18 +Populus schneideri,29.000343,101.507299 +Populus simonii,31.21,102.58 +Populus szechuanica var. szechuanica,35.86,104.2 +Populus szechuanica var. tibetica,29.64,91.18 +Populus trinervis,31.01,102.32 +Populus wilsonii,35.86,104.2 +Populus wuana,29.85,95.76 +Populus xiangchengensis,28.93,99.79 +Populus yatungensis var. crenata,27.48,88.9 +Populus yatungensis var. pedicellata,28.48,98.92 +Populus yatungensis var. yatungensis,28.48611,98.911543 +Populus yuana,27.82308,99.706013 +Populus yunnanensis,25.869611,102.593465 +Salix acuminatomicrophylla,29.32,95.33 +Salix alba,37.06,82.69 +Salix alfredi,35.52,106.69 +Salix amphibola,29.000343,101.507299 +Salix annulifera var. annulifera,27.177166,99.28717 +Salix annulifera var. dentata,27.177166,99.28717 +Salix annulifera var. glabra,27.177166,99.28717 +Salix annulifera var. macriula,28.48611,98.911543 +Salix anticecrenata,29.32,95.33 +Salix argyracea,43.81,87.6 +Salix argyrophegga,30.511499,103.481974 +Salix argyrotrichocarpa,29.32,95.33 +Salix atopantha,34.6489,100.611 +Salix babylonica var. babylonica,33.52,107.99 +Salix babylonica var. glandulipilosa,33.52,107.99 +Salix balfouriana,28.48611,98.911543 +Salix bangongensis,33.38,79.72 +Salix bhutanensis,28.85,85.29 +Salix biondiana,33.2975,100.432 +Salix bistyla,35.86,104.2 +Salix brachista var. brachista,28.9164,102.216 +Salix brachista var. integra,29.32,95.33 +Salix brachista var. pilifera,28.9164,102.216 +Salix calyculata var. calyculata,29.85,95.76 +Salix calyculata var. gongshanica,29.85,95.76 +Salix capusii,43.810314,87.605163 +Salix cathayana,35.86,104.2 +Salix cavaleriei,27.402909,102.17533 +Salix characta,39.879848,114.630747 +Salix cheilophila var. cheilophila,31.5978,100.367 +Salix cheilophila var. microstachyoides,29.65,91.12 +Salix chingiana,39.71222,75.03639 +Salix clathrata,31.82,98.58 +Salix coggygria,29.32,95.33 +Salix contortiapiculata,35.86,104.2 +Salix crenata,35.86,104.2 +Salix daliensis,35.86,104.2 +Salix daltoniana,28.9353,102.212 +Salix dalungensis,29.63,94.36 +Salix delavayana var. delavayana,32.091667,102.773611 +Salix delavayana var. glabra,32.091667,102.773611 +Salix delavayana var. pilososuturalis,27.82308,99.706013 +Salix denticulata,31.49,98.21 +Salix dibapha,26.876096,100.229945 +Salix dissa,28.9406,102.124 +Salix divergentistyla,28.93,99.79 +Salix driophila,25.584234,100.222124 +Salix ernestii,31.13,96.9 +Salix faxonianoides var. faxonianoides,28.5733,99.8117 +Salix faxonianoides var. villosa,29.32,95.33 +Salix fedtschenkoi,48.3,87.26 +Salix fengiana var. fengiana,35.86,104.2 +Salix fengiana var. gymnocarpa,35.86,104.2 +Salix flabellaris,35.86,104.2 +Salix floccosa var. floccosa,28.66,97.46 +Salix floccosa var. leoigyne,28.66,97.46 +Salix gilashanica,28.48611,98.911543 +Salix glareorum,39.17,109.15 +Salix guebriantiana,31.4881,98.2233 +Salix gyamdaensis,28.93,99.79 +Salix gyirongensis,28.563925,108.503873 +Salix heishuiensis,30.99903,102.364372 +Salix heteromera var. concolor,25.012526,102.700013 +Salix heteromera var. heteromera,25.012526,102.700013 +Salix hirticaulis,35.86,104.2 +Salix hylonoma,30.511499,103.481974 +Salix hypoleuca,30.36,102.81 +Salix iliensis,43.810314,87.605163 +Salix insignis,29.27,88.88 +Salix jinchuanica,31.8,98.58 +Salix juparica var. juparica,32.27,96.22 +Salix juparica var. tibetica,35.20256,102.521732 +Salix kamanica,35.86,104.2 +Salix kangdingensis,30.05,101.97 +Salix karelinii,28.85,85.29 +Salix kongbanica,28.27,88.52 +Salix kungmuensis,35.86,104.2 +Salix lamashanensis,36.92,98.48 +Salix lanifera,30.05,101.96 +Salix lasiopes,27.48,88.9 +Salix lindleyana,28.401367,99.44976 +Salix longiflora,30.25,99.42 +Salix longistamina,29.65,91.12 +Salix luctuosa,28.491111,98.939722 +Salix maerkangensis,31.084,103.267 +Salix magnifica var. apetala,31.08,103.26 +Salix magnifica var. magnifica,31.08,103.26 +Salix magnifica var. ulotricha,31.084,103.267 +Salix maizhokunggarensis,30.64,93.23 +Salix matsudana,42.785748,124.110854 +Salix medogensis,27.82308,99.706013 +Salix microphyta,30.36,102.81 +Salix minjiangensis,34.58,103.5 +Salix moupinensis,30.066708,102.758313 +Salix muliensis,28.7464,100.269 +Salix myrtillacea,30.511499,103.481974 +Salix neoamnematchinensis,34.3575,100.256 +Salix nujiangensis,29.63,94.36 +Salix obscura,29.63,94.36 +Salix occidentali-sinensis,27.82308,99.706013 +Salix ochetophylla,29.914155,102.234618 +Salix opsimantha,35.86,104.2 +Salix oreinoma,28.65,87.12 +Salix oreophila var. oreophila,29.32,95.33 +Salix oreophila var. secta,29.32,95.33 +Salix oritrepha var. amnematchinensis,32.637983,103.59895 +Salix oritrepha var. oritrepha,34.6489,100.611 +Salix ovatomicrophylla,32.4886,100.355 +Salix paraflabellaris,35.86,104.2 +Salix paraheterochroma,28.17,85.98 +Salix paraplesia var. paraplesia,31.66,100.713 +Salix paraplesia var. pubescens,29.65,91.12 +Salix paraplesia var. subintegra,29.65,91.12 +Salix paratetradenia var. paratetradenia,28.48611,98.911543 +Salix paratetradenia var. yatungensis,29.63,94.36 +Salix parvidenticulata,28.85,85.29 +Salix pella,30.066708,102.758313 +Salix pentandra,47.77,128.91 +Salix phanera var. phanera,28.48611,98.911543 +Salix phanera var. weixiensis,28.48611,98.911543 +Salix pilosomicrophylla,29.32,95.33 +Salix piptotricha,29.63,94.36 +Salix plocotricha,32.44,104.55 +Salix pseudospissa,31.62,99.99 +Salix pseudo-wallichiana,31.824099,108.629497 +Salix pseudowolohoensis,26.876096,100.229945 +Salix psilostigma,25.75,100.1 +Salix pycnostachya var. oxycarpa,29.65,91.12 +Salix pycnostachya var. pycnostachya,29.65,91.12 +Salix radinostachya,35.86,104.2 +Salix rehderiana var. dolia,30.055305,101.96483 +Salix rehderiana var. rehderiana,30.066708,102.758313 +Salix resecta,25.584234,100.222124 +Salix resectoides,35.86,104.2 +Salix rhododendrifolia,30.055305,101.96483 +Salix rosmarinifolia,43.15,81.12 +Salix sajanensis,37.77,75.22 +Salix salwinensis,28.36,87.76 +Salix sclerophylla var. obtusa,30.64,93.23 +Salix sclerophylla var. sclerophylla,28.36,87.76 +Salix sclerophylla var. tibetica,28.36,87.76 +Salix sclerophylloides,32.97,98.1 +Salix scopulicola,35.86,104.2 +Salix sericocarpa,35.86,104.2 +Salix serpyllum,28.85,85.29 +Salix shandanensis,36.63,101.2 +Salix sikkimensis,29.63,94.36 +Salix sinica var. dentata,38.46,111.12 +Salix sinica var. sinica,38.46,111.12 +Salix sinopurpurea,33.981028,108.20147 +Salix souliei,28.35861,98.78694 +Salix spathulifolia var. glabra,36.85,102.15 +Salix spathulifolia var. spathulifolia,36.85,102.15 +Salix sphaeronymphe,27.928607,101.279419 +Salix sphaeronymphoides,31.13,97.18 +Salix spodiophylla,35.86,104.2 +Salix tangii var. villosa,31.824099,108.629497 +Salix taoensis var. glabra,35.84,104.11 +Salix taoensis var. taoensis,35.84,104.11 +Salix tenella,30.06,102.75 +Salix tetrasperma,35.86,104.2 +Salix trichocarpa,33.176944,97.379444 +Salix vaccinioides,35.86,104.2 +Salix variegata,30.06,102.75 +Salix wallichiana,31.824099,108.629497 +Salix wangiana,33.31033,108.314391 +Salix weixiensis,27.177166,99.28717 +Salix wilhelmsiana var. latifolia,42.26,86.86 +Salix wilhelmsiana var. wilhelmsiana,36.4,99.95 +Salix wolohoensis,29.22,102.35 +Salix wuxuhaiensis,30.055305,101.96483 +Salix xiaoguangshanica,35.86,104.2 +Salix xizangensis,29.32,95.33 +Salix yadongensis,27.48,88.9 +Salix zangica,29.2189,101.516 +Salix zayulica,39.17,109.15 +Salix zhegushanica,31.80612,98.580912 +Xylosma congesta,29,109.85 +Xylosma controversum var. controversum,24.466672,112.626493 +Xylosma longifolium,21.475834,101.567519 +Viola belophylla,28.512222,98.774167 +Viola betonicifolia,31.92,119.17 +Viola biflora var. biflora,34.368333,100.221667 +Viola biflora var. rockiana,26.85648,100.2271 +Viola bulbosa,37.32,100.14 +Viola chaerophylloides,29.010101,114.412629 +Viola confertifolia,19.200505,109.74159 +Viola delavayi,26.682196,99.61777 +Viola diffusa,24.02,117.72 +Viola dimorphophylla,24.976725,101.487417 +Viola dissecta,41.25,114.81 +Viola fargesii,28.539173,121.341724 +Viola forrestiana,29.3,94.35 +Viola kunawarensis,32.829722,96.898889 +Viola lactiflora,29.61,115.99 +Viola milingensis,29.27,88.88 +Viola moupinensis,27.179281,98.729004 +Viola pendulicarpa,33.15,107.33 +Viola philippica,36.519977,103.891767 +Viola pilosa,35.86,104.2 +Viola rockiana,32.746389,97.347222 +Viola striatella,30.78,105.72 +Viola szetschwanensis var. humilis,36.519977,103.891767 +Viola szetschwanensis var. kangdiensis,36.519977,103.891767 +Viola szetschwanensis var. nudicaulis,29.63,94.36 +Viola szetschwanensis var. szetschwanensis,36.519977,103.891767 +Viola tenuicornis,39.94,116.32 +Viola thomsonii,35.86,104.2 +Viola tienschiensis,24.25111,101.865 +Viola trichopetala,27.177166,99.28717 +Viola urophylla var. urophylla,26.876096,100.229945 +Viola yunnanfuensis,26.876096,100.229945 +Gynocardia odorata,22.983563,103.687613 +Anisadenia pubescens,35.86,104.2 +Linum pallescens,36.07,103.75 +Linum perenne,36.381389,100.878056 +Reinwardtia indica,27.897245,102.265266 +Garcinia esculenta,35.86,104.2 +Garcinia nujiangensis,27.6978,98.2908 +Garcinia pedunculata,29.32,95.33 +Garcinia tetralata,22.01071,100.799775 +Hypericum acmosepalum,24.392902,106.633387 +Hypericum addingtonii,35.86,104.2 +Hypericum augustinii,26.056349,101.669841 +Hypericum bellum,28.66,97.46 +Hypericum choisyanum,25.7667,100.017 +Hypericum curvisepalum,29.22,102.35 +Hypericum elliptifolium,29.16,107.1 +Hypericum elodeoides,26.72,117.47 +Hypericum forrestii,35.86,104.2 +Hypericum gramineum,23.605727,104.337169 +Hypericum henryi subsp. uraloides,32.435432,105.843358 +Hypericum himalaicum,27.48,88.9 +Hypericum japonicum,25.48916,99.60611 +Hypericum kingdonii,28.66,97.46 +Hypericum lancasteri,40.02,116.21 +Hypericum maclarenii,29.22,102.35 +Hypericum monanthemum subsp. filicaule,35.86,104.2 +Hypericum monanthemum subsp. monanthemum,35.86,104.2 +Hypericum patulum,30.19,119.36 +Hypericum petiolulatum subsp. petiolulatum,30.36,102.81 +Hypericum petiolulatum subsp. yunnanense,30.36,102.81 +Hypericum przewalskii,34.188997,105.178599 +Hypericum pseudohenryi,35.86,104.2 +Hypericum reptans,35.86,104.2 +Hypericum uralum,35.86,104.2 +Hypericum wightianum,35.86,104.2 +Erodium cicutarium,31.47,79.8 +Erodium stephanianum,32.3097,96.46 +Erodium tibetanum,32.49,80.09 +Geranium camaense,38.073254,104.69114 +Geranium carolinianum,30.27,120.17 +Geranium collinum,31.47,79.8 +Geranium dahuricum,44.84,128.6 +Geranium delavayi,35.86,104.2 +Geranium donianum,26.876096,100.229945 +Geranium farreri,31.48,93.67 +Geranium franchetii var. franchetii,35.86,104.2 +Geranium himalayense,31.47,79.8 +Geranium hispidissimum,25.4856,100.5505 +Geranium lambertii,28.85,85.29 +Geranium moupinense,29.22,102.35 +Geranium napuligerum,35.86,104.2 +Geranium nepalense,30.55,103.29 +Geranium ocellatum,25.012526,102.700013 +Geranium platyanthum,44.609,130.332 +Geranium pogonanthum,27.624142,99.641319 +Geranium polyanthes,28.95,93.88 +Geranium pratense,36.519977,103.891767 +Geranium pylzowianum,33.000556,97.328889 +Geranium refractum,29.14,100.157 +Geranium robertianum,28.66,97.46 +Geranium sinense,30.05,101.96 +Geranium strictipes,27.0983,100.175 +Geranium umbelliforme,27.0983,100.175 +Geranium wallichianum,28.85,85.29 +Geranium wilfordii,43.7,127.139 +Geranium yunnanense,35.86,104.2 +Combretum wallichii,24.93,105.84 +Terminalia franchetii var. franchetii,24.976725,101.487417 +Terminalia franchetii var. intricata,30,99.1 +Terminalia myriocarpa var. hirsuta,35.86,104.2 +Terminalia myriocarpa var. myriocarpa,35.86,104.2 +Lagerstroemia minuticarpa,35.86,104.2 +Rotala rosea,24.631073,109.24368 +Rotala rotundifolia,35.86,104.2 +Trapa natans,32.36,113.4 +Chamerion angustifolium subsp. angustifolium,28.500278,98.907778 +Chamerion angustifolium subsp. circumvagum,35.334722,101.928056 +Chamerion conspersum,28.491111,98.939722 +Chamerion latifolium,37.07,115.67 +Chamerion speciosum,35.334722,101.928056 +Circaea alpina subsp. alpina,28.48611,98.911543 +Circaea alpina subsp. angustifolia,27.42,101.5 +Circaea alpina subsp. imaicola,35.86,104.2 +Circaea alpina subsp. micrantha,28.66,97.46 +Circaea cordata,34.56,105.72 +Circaea glabrescens,36.519977,103.891767 +Circaea mollis,24.7,117.31 +Circaea repens,29.32,95.33 +Epilobium amurense subsp. amurense,29.160369,103.148639 +Epilobium amurense subsp. cephalostigma,29.955836,118.248811 +Epilobium blinii,25.60168,110.585686 +Epilobium brevifolium subsp. brevifolium,29.32,95.33 +Epilobium brevifolium subsp. trichoneurum,35.86,104.2 +Epilobium cylindricum,35.86,104.2 +Epilobium fangii,29.914155,102.234618 +Epilobium fastigiatoramosum,49.211941,119.765772 +Epilobium gouldii,35.86,104.2 +Epilobium hirsutum,35.86,104.2 +Epilobium kermodei,35.86,104.2 +Epilobium kingdonii,28.5939,99.8469 +Epilobium minutiflorum,39,112.3 +Epilobium palustre,32.752778,97.214722 +Epilobium pannosum,28.96,102.77 +Epilobium platystigmatosum,29.496119,103.398589 +Epilobium royleanum,25.9556,98.7383 +Epilobium sikkimense,35.86,104.2 +Epilobium sinense,31.82,108.62 +Epilobium subcoriaceum,35.86,104.2 +Epilobium tibetanum,35.86,104.2 +Epilobium wallichianum,35.86,104.2 +Epilobium williamsii,35.86,104.2 +Ludwigia epilobioides,31.82,108.62 +Syzygium balsameum,29.32,95.33 +Syzygium cathayense,21.475834,101.56752 +Syzygium cumini var. cumini,23.12,113.34 +Syzygium forrestii,35.86,104.2 +Syzygium salwinense,35.86,104.2 +Syzygium xizangense,29.32,95.33 +Allomorphia howellii,35.86,104.2 +Medinilla petelotii,35.86,104.2 +Medinilla rubicunda,29.32,95.33 +Melastoma malabathricum,21.68,101.31 +Memecylon caeruleum,21.922636,101.249761 +Osbeckia nepalensis var. albiflora,35.86,104.2 +Osbeckia nepalensis var. nepalensis,25.2161,98.4961 +Osbeckia stellata,25.758375,110.120117 +Oxyspora cernua,26.631536,99.726747 +Oxyspora paniculata,23.721633,106.843575 +Oxyspora vagans,22.01071,100.799775 +Oxyspora yunnanensis,35.86,104.2 +Phyllagathis longiradiosa,22.391288,106.817838 +Plagiopetalum serratum var. serratum,24.615701,100.709787 +Sarcopyramis napalensis,35.86,104.2 +Sonerila cantonensis,23.812642,113.953351 +Sporoxeia sciadophila,27.16,98.81 +Euscaphis japonica,26.466667,111.316667 +Stachyurus chinensis,26.4,119.8 +Stachyurus cordatulus,27.7114,98.3481 +Stachyurus himalaicus,26.466667,111.316667 +Stachyurus yunnanensis,30.4375,102.662222 +Turpinia cochinchinensis,35.86,104.2 +Turpinia macrosperma,35.86,104.2 +Turpinia pomifera var. minor,35.86,104.2 +Turpinia pomifera var. pomifera,35.86,104.2 +Biebersteinia heterostemon,35.84,104.11 +Biebersteinia odora,31.47,79.8 +Nitraria roborowskii,37.47,102.89 +Nitraria sibirica,36.1933,100.715 +Nitraria tangutorum,36.1933,100.715 +Peganum harmala,40.291851,97.04553 +Peganum multisectum,36.1933,100.715 +Canarium strictum,29.32,95.33 +Garuga forrestii,22.391288,106.817838 +Choerospondias axillaris,25.0142,98.7011 +Cotinus coggygria var. glaucophylla,33.26,104.23 +Cotinus nana,24.976725,101.487417 +Cotinus szechuanensis,32.089392,109.815677 +Dobinea delavayi,27.339245,103.714016 +Dobinea vulgaris,35.86,104.2 +Pegia nitida,25.086828,104.895897 +Pistacia chinensis,32.33,111.01722 +Pistacia weinmanniifolia,27.17,100.05 +Rhus chinensis,22.273056,111.162778 +Rhus punjabensis var. pilosa,35.86,104.2 +Rhus punjabensis var. sinica,33.081569,107.045478 +Toxicodendron acuminatum,28.85,85.29 +Toxicodendron delavayi var. delavayi,24.8178,98.8408 +Toxicodendron grandiflorum var. grandiflorum,27.928607,101.279419 +Toxicodendron griffithii var. barbatum,35.86,104.2 +Toxicodendron hookeri,35.86,104.2 +Toxicodendron succedaneum,30.0092,94.9669 +Toxicodendron sylvestre,30.32,119.44 +Toxicodendron vernicifluum,35.86,104.2 +Toxicodendron wallichii var. microcarpum,35.86,104.2 +Toxicodendron wallichii var. wallichii,35.86,104.2 +Acer amplum subsp. amplum,26.588884,107.977112 +Acer caesium subsp. caesium,28.48611,98.911543 +Acer caesium subsp. giraldii,35.86,104.2 +Acer campbellii var. campbellii,26.901731,98.869207 +Acer campbellii var. serratifolium,26.901731,98.869207 +Acer cappadocicum subsp. cappadocicum,29.0758,99.9189 +Acer cappadocicum subsp. sinicum,35.86,104.2 +Acer caudatum,36.519977,103.891767 +Acer ceriferum,36.519977,103.891767 +Acer chienii,35.86,104.2 +Acer davidii,25.3642,102.732 +Acer erianthum,29.22,102.35 +Acer eucalyptoides,29.32,95.33 +Acer flabellatum,24.58669,98.689166 +Acer forrestii,27.707333,99.994667 +Acer fulvescens,36.519977,103.891767 +Acer kungshanense,35.86,104.2 +Acer laevigatum var. laevigatum,24.976725,101.487417 +Acer laevigatum var. salweenense,24.976725,101.487417 +Acer laisuense,32.44,104.55 +Acer lanpingense,26.876096,100.229945 +Acer laurinum,29.32,95.33 +Acer laxiflorum,36.519977,103.891767 +Acer machilifolium,35.86,104.2 +Acer maximowiczii,36.519977,103.891767 +Acer motuoensis,29.244431,95.175076 +Acer oblongum,36.519977,103.891767 +Acer oligocarpum,35.86,104.2 +Acer oliverianum,36.519977,103.891767 +Acer paxii,25.275367,103.003972 +Acer pectinatum f. caudatilobum,27.177166,99.28717 +Acer pectinatum subsp. pectinatum,27.177166,99.28717 +Acer pectinatum subsp. taronense,28.66,97.46 +Acer pentaphyllum,36.519977,103.891767 +Acer pictum subsp. macropterum,29.22,102.35 +Acer pubipetiolatum,35.86,104.2 +Acer schneiderianum var. pubescens,30.066708,102.758313 +Acer schneiderianum var. schneiderianum,29.49,103.39 +Acer shenkanense,33.52,107.99 +Acer sikkimense,35.86,104.2 +Acer sinense,36.519977,103.891767 +Acer stachyophyllum subsp. betulifolium,32.92,104.32 +Acer stachyophyllum subsp. stachyophyllum,35.86,104.2 +Acer sterculiaceum subsp. franchetii,33.9935,108.971833 +Acer sterculiaceum subsp. sterculiaceum,33.9935,108.971833 +Acer tataricum subsp. ginnala,44.386,130.995 +Acer thomsonii,21.957355,100.452547 +Acer tibetense,31.712092,88.118532 +Acer tonkinense,29.32,95.33 +Acer wardii,27.6161,98.6558 +Acer wilsonii,35.86,104.2 +Acer yui var. leptocarpum,23.37,104.25 +Acer yui var. yui,33.784801,104.371458 +Aesculus chinensis var. wilsonii,30.118167,110.6926 +Allophylus chartaceus,29.32,95.33 +Dipteronia sinensis,39.997778,116.203611 +Eurycorymbus cavaleriei,35.86,104.2 +Sapindus delavayi,27.928607,101.279419 +Boenninghausenia albiflora,29.54722,115.98167 +Boenninghausenia sessilicarpa,29,101.5 +Citrus aurantiifolia,18.249731,109.507052 +Citrus latipes,36.519977,103.891767 +Citrus medica,35.86,104.2 +Dictamnus dasycarpus,42.786504,128.514494 +Glycosmis xizangensis,29.32,95.33 +Melicope pteleifolia,23.13,112.58 +Micromelum integerrimum,24.93,105.84 +Murraya euchrestifolia,35.86,104.2 +Phellodendron chinense var. glabriusculum,25.526439,111.600795 +Skimmia arborescens,36.519977,103.891767 +Skimmia melanocarpa,32.144677,110.712211 +Tetradium bijiangensis,28.8754,93.113 +Tetradium daniellii,29.5997,102.0583 +Tetradium fraxinifolium,24.8309,98.767998 +Tetradium glabrifolium,25.966667,98.683333 +Tetradium gongshanensis,35.86,104.2 +Tetradium pteleifolia,23.13,112.58 +Tetradium ruticarpum,26.627376,106.722555 +Tetradium triphylla,29.9642,101.0222 +Toddalia asiatica,35.86,104.2 +Zanthoxylum acanthopodium,27.7397,98.6592 +Zanthoxylum armatum,26.466667,111.316667 +Zanthoxylum bungeanum,36.06667,120.33334 +Zanthoxylum dimorphophyllum,31.331599,110.783718 +Zanthoxylum dissitum var. dissitum,29.496119,103.398589 +Zanthoxylum esquirolii,26.266108,107.525074 +Zanthoxylum jiuzhaigouensis,22.640833,107.097222 +Zanthoxylum macranthum,35.86,104.2 +Zanthoxylum motuoense,29.32,95.33 +Zanthoxylum nitidum var. nitidum,27.8947,98.6658 +Zanthoxylum oxyphyllum,26.005611,98.659111 +Zanthoxylum piasezkii,34.15745,107.843975 +Zanthoxylum pilosulum,30.066708,102.758313 +Zanthoxylum schinifolium,24.983333,112.833333 +Zanthoxylum tomentellum,35.86,104.2 +Ailanthus altissima var. altissima,26.43,110.85 +Ailanthus altissima var. sutchuenensis,26.43,110.85 +Brucea mollis,29.32,95.33 +Picrasma javanica,0,0 +Picrasma quassioides,0,0 +Aglaia elaeagnoidea,0,0 +Aglaia lawii,0,0 +Chukrasia tabularis,0,0 +Cipadessa baccifera,0,0 +Dysoxylum excelsum,21.475834,101.56752 +Dysoxylum medogense,29.33,95.33 +Heynea trijuga,24.83,98.758056 +Munronia pinnata,21.907681,101.282203 +Toona ciliata,35.86,104.2 +Toona sinensis,35.86,104.2 +Walsura xizangensis,29.32,95.33 +Dipentodon sinicus,35.86,104.2 +Abelmoschus manihot,24.652216,116.948616 +Abutilon indicum,18.252625,109.511923 +Abutilon paniculatum,27.42,101.5 +Ambroma augustum,29.32,95.33 +Corchorus olitorius,35.86,104.2 +Craigia yunnanensis,35.86,104.2 +Grewia biloba var. biloba,36.06667,120.33334 +Grewia brachypoda,26.65,102.24 +Hibiscus austroyunnanensis,21.97,100.45 +Hibiscus fragrans,24.814388,103.326393 +Hibiscus trionum,24.814388,103.326393 +Malva pusilla,36.97,111.2 +Malva verticillata var. rafiqii,32,90 +Malva verticillata var. verticillata,32,90 +Malvastrum coromandelianum,23.17,113.35 +Melochia corchorifolia,23.12,113.34 +Paradombeya sinensis,23.714836,102.491391 +Pterospermum acerifolium,23.13,112.58 +Reevesia pubescens,35.86,104.2 +Sida acuta,25.25,110.05 +Sida alnifolia var. alnifolia,35.86,104.2 +Sida cordifolia,22.69,112.22 +Sida szechuensis,35.86,104.2 +Sterculia euosma,29.32,95.33 +Sterculia hamiltonii,29.32,95.33 +Sterculia lanceifolia,22.010889,100.79926 +Tilia callidonta,27.82308,99.706013 +Tilia chinensis var. chinensis,28.48611,98.911543 +Tilia chinensis var. intonsa,26.68,101.85 +Tilia chinensis var. investita,27.92,101.27 +Tilia likiangensis,26.876096,100.229945 +Tilia paucicostata var. paucicostata,35.86,104.2 +Tilia paucicostata var. yunnanensis,35.86,104.2 +Triumfetta annua,25.25,110.05 +Triumfetta cana,22.597908,114.027059 +Triumfetta pilosa,26.466667,111.316667 +Triumfetta rhomboidea,22.605082,114.032193 +Urena lobata,24.652216,116.948616 +Daphne acutiloba,30.36,102.81 +Daphne aurantiaca,26.876096,100.229945 +Daphne bholua var. bholua,35.86,104.2 +Daphne bholua var. glacialis,28.36,87.76 +Daphne gemmata,31.4703,103.2172 +Daphne giraldii,34.5,105.833333 +Daphne holosericea var. holosericea,30.004589,99.107741 +Daphne holosericea var. thibetensis,30.004589,99.107741 +Daphne longilobata,35.86,104.2 +Daphne macrantha,31.712092,88.118532 +Daphne modesta,29.141111,99.928333 +Daphne myrtilloides,33.976206,107.249372 +Daphne papyracea var. papyracea,25.012526,102.700013 +Daphne purpurascens,27.772214,100.141242 +Daphne retusa,30.073116,101.785664 +Daphne rosmarinifolia,36.519977,103.891767 +Daphne tangutica var. tangutica,32.091667,102.773611 +Daphne tenuiflora var. tenuiflora,32.272222,103.743889 +Daphne wangiana,24.9656,98.7328 +Edgeworthia composita,27.622868,113.854676 +Edgeworthia gardneri,25.139344,97.936936 +Stellera chamaejasme,41.451,127.92 +Wikstroemia alternifolia,25.041504,102.713329 +Wikstroemia baimashanensis subsp. callitricha,28.93,93.22 +Wikstroemia canescens,33.392394,104.926525 +Wikstroemia capitata,31.37,109.62 +Wikstroemia capitatoracemosa,28.48611,98.911543 +Wikstroemia chamaedaphne,37.95,114.05 +Wikstroemia delavayi,26.11116,99.951049 +Wikstroemia dolichantha,29,101.5 +Wikstroemia haoii,33.222857,107.545509 +Wikstroemia indica,22.653799,108.310905 +Wikstroemia lichiangensis,32.4469,98.0092 +Wikstroemia ligustrina,39.001552,112.304767 +Wikstroemia lungtzeensis,28.93,93.22 +Wikstroemia micrantha var. micrantha,23.327903,107.580539 +Wikstroemia scytophylla,26.87,100.23 +Wikstroemia stenophylla,31.4697,103.5925 +Wikstroemia techinensis,28.48611,98.911543 +Oligomeris linifolia,28.71,99.28 +Cleome yunnanensis,27.90539,99.62913 +Clethra delavayi,25.035347,102.711722 +Clethra monostachya var. lancilimba,35.86,104.2 +Alyssum canescens,47.47,86.29 +Aphragmus oxycarpus,34.58,99.46 +Aphragmus tibeticus,28.661276,97.466916 +Arabidopsis qaranica,43.0726,87.03054 +Arabidopsis stricta,29.037008,100.298406 +Arabidopsis thaliana,37.46,121.44 +Arabidopsis wallichii,27.129196,100.235283 +Arabis alaschanica,31.80612,98.580912 +Arabis attenuata,30.3,81.17 +Arabis axilliflora,26.9,117.17 +Arabis hirsuta,34.56,105.72 +Arabis paniculata var. paniculata,30.93,100.31 +Arabis paniculata var. parviflora,30.93,100.31 +Arabis pendula,40.44,117.72 +Arabis pterosperma,30.28,101.86 +Arabis tibetica,30.29,81.17 +Atelanthera perpusilla,0,0 +Barbarea intermedia,28,91.95 +Barbarea orthoceras,41.812003,126.91814 +Braya forrestii var. forrestii,27.42,101.5 +Braya forrestii var. puberula,27.42,101.5 +Braya rosea var. aenea,26.876096,100.229945 +Braya rosea var. glabrata,30.93917,100.311366 +Braya rosea var. rosea,26.876096,100.229945 +Braya scharnhorstii,38.28,74.93 +Braya siliquosa,33.38,79.72 +Braya tibetica f. linearifolia,28.85,85.29 +Braya tibetica f. sinuata,0,0 +Braya tibetica f. tibetica,29.41,101.35 +Capsella bursa-pastoris,30,94.22 +Cardamine calcicola,27.928607,101.279419 +Cardamine caroides,29,101.5 +Cardamine circaeoides,29.39,110.16 +Cardamine delavayi,25.67,100.13 +Cardamine flexuosa,39.983889,116.207858 +Cardamine franchetiana,28.8164,99.2158 +Cardamine gracilis,27.82308,99.706013 +Cardamine granulifera,26.876096,100.229945 +Cardamine griffithii,31.331599,110.783718 +Cardamine hirsuta,37.28,114.51 +Cardamine hydrocotyloides,28.48611,98.911543 +Cardamine impatiens,24.846283,110.451522 +Cardamine longistyla,28.66,97.46 +Cardamine loxostemonoides,28.85,85.29 +Cardamine macrophylla var. diplodonta,28.48611,98.911543 +Cardamine macrophylla var. macrophylla,29.63,94.36 +Cardamine macrophylla var. polyohylla,29.63,94.36 +Cardamine microzyga var. duplolobata,27.93,101.28 +Cardamine microzyga var. microzyga,29.155,100.088 +Cardamine muliensis,31.8131,99.7178 +Cardamine multiflora,30.36,102.81 +Cardamine pulchella,29.32,95.33 +Cardamine purpurescens,25.12,105.47 +Cardamine repens,26.876096,100.229945 +Cardamine rockii,30.93,100.31 +Cardamine simplex,27.82308,99.706013 +Cardamine stenoloba,30.0489,101.9622 +Cardamine tangutorum,32.0944,97.2667 +Cardamine trifoliolata,29.39,110.16 +Cardamine yunnanensis var. obtusata,35.86,104.2 +Cardamine yunnanensis var. yunnanensis,35.86,104.2 +Cardaria draba subsp. chalepensis,41.71,82.96 +Cardaria pubescens,38.62,103.09 +Chorispora macropoda,39.71,75.25 +Chorispora tashkorganica,38.276111,74.918333 +Christolea crassifolia,37.31,75.42 +Christolea niyaensis,37.31,75.42 +Christolea pinnatifida,37.31,75.42 +Coelonema draboides,36.97,103.14 +Conringia planisiliqua,43.78,82.49 +Crucihimalaya lasiocarpa,29.63,94.36 +Crucihimalaya mollissima,31.47,79.8 +Crucihimalaya stricta,29.037008,100.298406 +Crucihimalaya wallichii,29.5072,96.7575 +Descurainia sophia,29.65,91.12 +Descurainia sophioides,43.825,87.616 +Desideria baiogoinensis,31.39,90 +Desideria flabellata,33.38,79.73 +Desideria himalayensis,33.38,79.73 +Desideria linearis,37.88,77.41 +Desideria prolifera,29.7108,98.0025 +Desideria pumila,0,0 +Desideria stewartii,32.4,81.12 +Dilophia ebracteata,34.365,100.193 +Dilophia salsa,34.9933,98.5047 +Dipoma iberideum,28.54,102.17 +Dontostemon glandulosus,33.1275,97.4622 +Dontostemon integrifolius,41.25,114.81 +Dontostemon pinnatus,27.82308,99.706013 +Dontostemon tibeticus,33.14,97.4981 +Draba altaica var. altaica,30.05,101.96 +Draba altaica var. microcarpa,42.87,90.22 +Draba altaica var. modesta,30.05,101.96 +Draba altaica var. racemosa,38.18,100.25 +Draba amplexicaulis var. amplexicaulis,27.42,101.5 +Draba amplexicaulis var. dolichocarpa,27.42,101.5 +Draba balangshanica,38.073254,104.69114 +Draba borealis,30.03,101.02 +Draba calcicola,27.82308,99.706013 +Draba dasyastra,29.77,84.03 +Draba elata,29.1,99.6922 +Draba ellipsoidea,30.6839,97.2619 +Draba eriopoda,0,0 +Draba fladnizensis,47.85,88.13 +Draba glomerata var. dasycarpa,29.77,84.03 +Draba glomerata var. glomerata,29.77,84.03 +Draba gracillima,32,90 +Draba granitica,28.37,87.77 +Draba handelii,35.86,104.2 +Draba incompta,31.35,110.75 +Draba involucrata var. involucrata,27.793619,99.586174 +Draba involucrata var. lasiocarpa,35.86,104.2 +Draba jucunda,35.86,104.2 +Draba ladyginii var. ladyginii,30.1589,97.3156 +Draba ladyginii var. thichocarpa,30.1589,97.3156 +Draba lanceolata,28.85,85.29 +Draba lasiophylla var. lasiophylla,28.66,97.46 +Draba lasiophylla var. leiocarpa,35.03,101.47 +Draba lichiangensis,34.8228,99.0428 +Draba linearifolia,30.17,97.28 +Draba macrophylla,27.781834,99.584846 +Draba matangensis,31.8503,102.67 +Draba mongolica var. mongolica,40.598815,117.482248 +Draba mongolica var. trichocarpa,39.879848,114.630747 +Draba moupinensis,29.914155,102.234618 +Draba nemorosa,37.28,114.51 +Draba oreades,33.97,107.24 +Draba oreodoxa,0,0 +Draba parviflora,31.905842,102.206261 +Draba piepunensis,35.86,104.2 +Draba remotiflora,32.583333,103.833333 +Draba rockii,47.31,130.28 +Draba senilis,29.1,99.6922 +Draba serpens,28.37,99.02 +Draba setosa,31.47,79.8 +Draba sikkimensis,35.86,104.2 +Draba stenocarpa var. leiocarpa,47.31,130.28 +Draba stenocarpa var. stenocarpa,43.81,87.6 +Draba subamplexicaulis,43.83,90.28 +Draba surculosa,27.42,101.5 +Draba tibetica var. duthiei,37.699337,101.338623 +Draba tibetica var. tibetica,37.699337,101.338623 +Draba turczaninowii,43.62,85.63 +Draba wardii,27.099444,98.872222 +Draba winterbottomii var. stracheyi,30.29,81.17 +Draba winterbottomii var. winterbottomii,30.29,81.17 +Draba yunnanensis,29.3342,101.499 +Eruca sative var. eriocarpa,36.73,103.26 +Eruca vesicaria,32.445845,104.553645 +Erysimum benthamii,34.58,103.5 +Erysimum bungei,37.95,114.05 +Erysimum cheiranthoides,40.02,116.21 +Erysimum deflexum,29.65,91.12 +Erysimum flavum,29.65,91.12 +Erysimum forrestii,27.778257,99.593117 +Erysimum funiculosum,32,90 +Erysimum handel-mazzettii,28.401194,99.449791 +Erysimum hieraciifolium,44.157024,87.987324 +Erysimum macilentum,31.33,110.78 +Erysimum roseum,34.78,92.88 +Erysimum schlagintweitianum,32,90 +Erysimum wardii,28.98,90.47 +Eurycarpus lanuginosus,31.712092,88.118532 +Eurycarpus marinellii,33.38,79.73 +Eutrema deltoideum var. deltoideum,27.82308,99.706013 +Eutrema deltoideum var. grandiflorum,27.82308,99.706013 +Eutrema edwardsii,47.11125,85.577778 +Eutrema heterophyllum,30.0044,100.86 +Eutrema himalaicum,29.127778,99.975278 +Eutrema obliquum,29.1339,100.043 +Eutrema yunnanense,30.127644,110.524516 +Goldbachia laevigata,44.32,85.61 +Hedinia taxkorganica,32.978959,98.1029 +Hedinia tibetica,33.1272,96.7181 +Hemilophia franchetii var. franchetii,24.976725,101.487417 +Hemilophia franchetii var. pilosa,26.876096,100.229945 +Hemilophia pulchella var. pulchella,28.54,102.17 +Hemilophia rockii,29.1531,101.407 +Ianhedgea minutiflora,32.583333,103.833333 +Leiospora eriocalyx,36.57,77 +Lepidium apetalum,41.827587,123.416408 +Lepidium capitatum,29.23,89.84 +Lepidium cuneiforme,34.56,105.72 +Lepidium latifolium var. affine,42.82,93.51 +Lepidium latifolium var. latifolium,42.82,93.51 +Lepidium obtusum,0,0 +Lepidium ruderale,39,112.3 +Lepidostemon rosularis,28.83,92.03 +Lignariella serpens,27.48,88.9 +Malcolmia africana,33.54,117.55 +Malcolmia hispida,35.69,105.05 +Megacarpaea delavayi,30.845206,102.715405 +Megacarpaea megalocarpa,47.85,88.13 +Megacarpaea polyandra,0,0 +Megadenia pygmaea,31.8,98.58 +Nasturtium officinale,37.83,112.52 +Neotorularia brachycarpa,33.38,79.73 +Neotorularia brevipes,0,0 +Neotorularia conferta,26.876096,100.229945 +Neotorularia humilis,26.876096,100.229945 +Neotorularia parva,26.876096,100.229945 +Neotorularia tibetica,31.88,93.78 +Neotorularia torulosa,31.63,114.87 +Olimarabidopsis pumila,43.22,81.84 +Oreoloma eglandulosum,43.81,87.6 +Oreoloma matthioloides,39.1,107.98 +Parrya nudicaulis,29.14,92.59 +Parrya pinnatifida,29.68,89.09 +Pegaeophyton scapiflorum var. pilosicalyx,34.5808,99.4508 +Pegaeophyton scapiflorum var. scapiflorum,34.5808,99.4508 +Phaeonychium albiflorum,31.3417,97.7108 +Phaeonychium kashgaricum,41.27,80.23 +Phaeonychium parryoides,28.55,89.68 +Phaeonychium villosum,31.3417,97.7108 +Platycraspedum tibeticum,30.055305,101.96483 +Platycraspedum wuchengyii,31.8,98.58 +Pycnoplinthus uniflora,37.06,82.69 +Raphanus raphanistroides,31.261549,121.383562 +Raphanus raphanistrum,31.35,106.07 +Rorippa dubia,29.78,118.18 +Rorippa elata,30.05,101.96 +Rorippa globosa,38.86,115.47 +Rorippa indica,30.27,120.17 +Rorippa islandica,39.29,116.56 +Rorippa palustris,45.79,126.66 +Sinosophiopsis heishuiensis,30.99903,102.364372 +Sisymbriopsis mollipila,37.77,75.22 +Sisymbriopsis shuanghuica,37.77,75.22 +Sisymbriopsis yechengica,37.77,75.22 +Sisymbrium brassiciforme,30.29,81.17 +Sisymbrium heteromallum,31.4,95.63 +Sisymbrium luteum,40.52,116.15 +Sisymbrium oxycarpus,31.4003,96.6797 +Sisymbrium polymorphum,43.97,81.52 +Smelowskia alba,37.77,75.22 +Smelowskia calycina,42.94,89.18 +Solms-laubachia ciliaris,27.82308,99.706013 +Solms-laubachia eurycarpa var. brevistipes,32.2817,96.2031 +Solms-laubachia eurycarpa var. eurycarpa,32.2817,96.2031 +Solms-laubachia floribunda,28.93,99.79 +Solms-laubachia lanata,29.65,91.12 +Solms-laubachia linearifolia,28.48611,98.911543 +Solms-laubachia minor,29.578333,99.825833 +Solms-laubachia pamirica,27.82308,99.706013 +Solms-laubachia platycarpa,27.48,88.9 +Solms-laubachia pulcherrima,28.537778,99 +Solms-laubachia xerophyta,27.82308,99.706013 +Sophiopsis sisymbrioides,0,0 +Sterigmostemum grandiflorum,36.4,94.9 +Taphrospermum altaicum,31.6333,98.4611 +Taphrospermum fontanum subsp. fontanum,31.0767,96.9447 +Taphrospermum fontanum subsp. microspermum,31.0936,96.4944 +Taphrospermum verticillatum,28.48611,98.911543 +Tauscheria lasiocarpa,31.47,79.8 +Thlaspi andersonii,28.36,87.76 +Thlaspi arvense,28.393889,98.709444 +Thlaspi cochleariforme,43.97,81.52 +Thlaspi flagelliferum,29.49,103.39 +Thlaspi yunnanense,29.63,94.36 +Yinshania acutangula subsp. wilsonii,29.0758,99.9189 +Yinshania zayuensis,28.48611,98.911543 +Balanophora dioica,35.86,104.2 +Balanophora harlandii,22.391288,106.817838 +Balanophora involucrata,29.03,93.9 +Balanophora laxiflora,35.86,104.2 +Balanophora polyandra,35.86,104.2 +Rhopalocnemis phalloides,22.097768,107.957979 +Erythropalum scandens,22.2,112.26 +Arceuthobium chinense,32.102778,97.041944 +Arceuthobium oxycedri,31.833056,96.488333 +Arceuthobium pini,29.044722,99.711389 +Arceuthobium sichuanense,31.811944,96.511667 +Dendrotrophe granulata,29.32,95.33 +Dendrotrophe platyphylla,25.75,98.71 +Korthalsella japonica var. fasciculata,23.160603,106.288701 +Korthalsella japonica var. japonica,29,101.5 +Osyris wightiana,28.96,102.77 +Phacellaria compressa,29.32,95.33 +Pyrularia edulis,35.86,104.2 +Thesium bomiense,29.85,95.76 +Thesium emodi,28.48611,98.911543 +Thesium jarmilae,37.445,105.044998 +Thesium longiflorum,28.66,97.46 +Thesium longifolium,40.33,115.62 +Thesium refractum,31.68115,103.853481 +Thesium saxattile,23.351747,113.411891 +Thesium tongolicum,29.87,95.77 +Viscum album var. meridianum,28.66,97.46 +Viscum articulatum var. articulatum,28.85,85.29 +Viscum fargesii,33.52,107.99 +Viscum liquidambaricola,28.85,85.29 +Viscum nudum,28.71,99.28 +Dendrophthoe pentandra,35.86,104.2 +Elytranthe parasitica,29.32,95.33 +Helixanthera parasitica,21.613427,108.053037 +Helixanthera sampsonii,35.86,104.2 +Helixanthera terrestris,29.32,95.33 +Loranthus delavayi,35.86,104.2 +Loranthus lambertianus,29.32,95.33 +Loranthus ligustrinus,28.66,97.46 +Macrosolen cochinchinensis,35.86,104.2 +Scurrula atropurpurea,27.13,98.83 +Scurrula buddleioides,27.7297,98.3464 +Scurrula elata,28.85,85.29 +Scurrula parasitica,35.86,104.2 +Taxillus caloreas var. caloreas,30.29,108.93 +Taxillus caloreas var. fargesii,30.29,108.93 +Taxillus delavayi var. barbatus,25.29,98.71 +Taxillus delavayi var. delavayi,26.993164,100.195435 +Taxillus delavayi var. yanjingensis,26.993164,100.195435 +Taxillus nigrans,26.466667,111.316667 +Taxillus sutchuenensis var. duclouxii,35.86,104.2 +Taxillus sutchuenensis var. sutchuenensis,35.86,104.2 +Taxillus thibetensis,35.86,104.2 +Taxillus umbellifer,29.32,95.33 +Schoepfia fragrans,29.32,95.33 +Schoepfia jasminodora,30.12306,118.189006 +Myricaria bracteata,30.4581,100.302 +Myricaria elegans,31.13,97.18 +Myricaria paniculata,28.932073,99.79929 +Myricaria prostrata,31.712092,88.118532 +Myricaria rosea,28.48611,98.911543 +Myricaria squamosa,35.86,104.2 +Myricaria wardii,29.7547,91.9375 +Reaumuria kaschgarica,37.06,82.69 +Reaumuria soongarica,39.62,106.84 +Tamarix arceuthoides,32.7464,97.3472 +Tamarix austromongolica,32.1,114.08 +Tamarix chinensis,42.19,123.71 +Tamarix elongata,37.06,82.69 +Tamarix gansuensis,38.62,103.09 +Tamarix gracilis,38.62,103.08 +Tamarix hispida,37.27,79.73 +Tamarix hohenackeri,36.21,79.3 +Tamarix karelinii,36.85,81.67 +Tamarix laxa,44.32,85.61 +Tamarix leptostachys,43.92,81.32 +Tamarix ramosissima,38.62,103.09 +Acantholimon alatavicum,41.16755,80.263388 +Acantholimon borodinii,41.22,79.23 +Acantholimon diapensioides,37.77,75.22 +Acantholimon hedinii,37.77,75.22 +Acantholimon kokandense,39.71,75.25 +Acantholimon lycopodioides,37.12,75.07 +Acantholimon popovii,39.71,75.25 +Acantholimon tianschanicum,37.88,77.41 +Ceratostigma griffithii,29.2236,90.6319 +Ceratostigma minus,30.0833,102.16 +Ceratostigma ulicinum,29.23,89.84 +Ceratostigma willmottianum,35.86,104.2 +Limonium aureum var. aureum,36.07,103.75 +Limonium aureum var. maduoensis,36.07,103.75 +Limonium bicolor,34.43808,104.036837 +Limonium callianthum,39.72,76.17 +Limonium kaschgaricum,39.71,75.25 +Limonium lacostei,37.75,89.67 +Limonium macrorhabdos,37.31,120.91 +Limonium potaninii,35.934366,101.477183 +Plumbagella micrantha,33.76,99.4339 +Plumbago zeylanica,35.86,104.2 +Antenoron filiforme var. filiforme,26.433419,110.856621 +Antenoron filiforme var. kachinum,31.4,109.63 +Antenoron filiforme var. neofiliforme,23.605727,104.337169 +Atraphaxis bracteata,40.86,111.81 +Atraphaxis pungens,46.52,89.47 +Calligonum kozlovi,31.786667,121.14139 +Calligonum mongolicum,38.846368,105.686073 +Calligonum zaidamense,36.4,94.9 +Fagopyrum gilesii,31.08,103.26 +Fagopyrum gracilipes,33.037845,108.247744 +Fagopyrum leptopodum,32.43,98.01 +Fagopyrum tataricum,32.120833,97.035 +Fagopyrum urophyllum,25.664325,102.650987 +Fallopia aubertii,32.40858,104.52904 +Fallopia convolvulus,46.74,82.97 +Fallopia cynanchoides var. cynanchoides,27.422643,101.509187 +Fallopia cynanchoides var. glabriuscula,29.22,102.35 +Fallopia dentatoalata,39.836689,115.573811 +Fallopia multiflora var. multiflora,23.33,112.24 +Koenigia islandica,32.752778,97.214722 +Oxyria digyna,35.86,104.2 +Oxyria sinensis,35.86,104.2 +Parapteropyrum tibeticum,29.04,93.07 +Polygonum affine,28.85,85.29 +Polygonum alpinum,35.86,104.2 +Polygonum amphibium,48.64611,116.82055 +Polygonum amplexicaule,28.85,85.29 +Polygonum aviculare,39.92,116.42 +Polygonum barbatum,23.351747,113.411891 +Polygonum campanulatum var. campanulatum,35.86,104.2 +Polygonum campanulatum var. fulvidum,35.86,104.2 +Polygonum capitatum,35.86,104.2 +Polygonum chinense var. chinense,25.9556,98.7383 +Polygonum chinense var. ovalifolium,35.86,104.2 +Polygonum chinense var. paradoxum,35.86,104.2 +Polygonum cognatum,31.47,79.8 +Polygonum coriaceum,27.42,101.5 +Polygonum cyanandrum,30.979541,101.125234 +Polygonum delicatulum,35.86,104.2 +Polygonum divaricatum,33.000556,97.328889 +Polygonum emodi var. dependens,26.65,102.24 +Polygonum emodi var. emodi,26.65,102.24 +Polygonum filicaule,27.48,88.9 +Polygonum forrestii,30.055305,101.96483 +Polygonum glaciale,31.9536,98.855 +Polygonum griffithii,29.85,95.76 +Polygonum hastato-sagittatum,24.399048,113.987821 +Polygonum hookeri,34.469167,100.3925 +Polygonum hydropiper,35.86,104.2 +Polygonum japonicum,30.273977,120.172974 +Polygonum kawagoeanum,25.95,117.35 +Polygonum lapathifolium var. lapathifolium,25.350556,98.621944 +Polygonum lapathifolium var. salicifolium,35.86,104.2 +Polygonum lichiangense,36.519977,103.891767 +Polygonum longisetum,35.86,104.2 +Polygonum macrophyllum var. macrophyllum,34.634722,99.744722 +Polygonum macrophyllum var. stenophyllum,34.634722,99.744722 +Polygonum microcephalum var. microcephalum,28.66,97.46 +Polygonum microcephalum var. sphaerocephalum,28.66,97.46 +Polygonum milletii,30.06,102.75 +Polygonum molle var. frondosum,35.86,104.2 +Polygonum molle var. molle,35.86,104.2 +Polygonum molle var. rude,27.48,88.9 +Polygonum muricatum,25.14,98.57 +Polygonum nepalense,35.86,104.2 +Polygonum nummularifolium,29.32,95.33 +Polygonum orientale,35.86,104.2 +Polygonum paleaceum var. paleaceum,29.65,91.12 +Polygonum paronychioides,31.47,79.8 +Polygonum perfoliatum,31.82,108.62 +Polygonum plebeium,24.958914,99.739478 +Polygonum polystachyum var. longifolium,35.86,104.2 +Polygonum polystachyum var. polystachyum,35.86,104.2 +Polygonum runcinatum var. runcinatum,25.9894,98.6636 +Polygonum runcinatum var. sinense,35.86,104.2 +Polygonum sibiricum var. sibiricum,33.2072,96.5547 +Polygonum sibiricum var. thomsonii,28.85,85.29 +Polygonum sinomontanum,29.14,99.93 +Polygonum sparsipilosum var. hubertii,33.976206,107.249372 +Polygonum sparsipilosum var. sparsipilosum,33.976206,107.249372 +Polygonum strigosum,29.671778,115.989221 +Polygonum suffultum var. pergracile,35.86,104.2 +Polygonum suffultum var. suffultum,35.86,104.2 +Polygonum taquetii,27.622868,113.854676 +Polygonum thunbergii,23.125462,104.702829 +Polygonum tibeticum,29.68,89.09 +Polygonum tortuosum,29.65,91.12 +Polygonum vaccinifolium,27.48,88.9 +Polygonum viviparum,34.658333,100.626944 +Polygonum wallichii,35.86,104.2 +Reynoutria japonica,29.424444,111.12 +Rheum acuminatum,27.780729,99.586533 +Rheum alexandrae,30.0153,101.859 +Rheum australe,27.98,87.23 +Rheum delavayi,28.4,98.97 +Rheum forrestii,29.1461,100.038 +Rheum globulosum,28.36,87.76 +Rheum hotaoense,39.35,115.5 +Rheum inopinatum,29.75,91.15 +Rheum kialense,31.622937,99.992666 +Rheum lhasaense,29.14,92.59 +Rheum likiangense,31.49,98.21 +Rheum moorcroftianum,30.29,81.17 +Rheum nobile,28.379936,99.006044 +Rheum officinale,30.055305,101.96483 +Rheum palmatum,29.6367,98.139 +Rheum przewalskyi,33.0333,97.2083 +Rheum pumilum,32.675,97.2944 +Rheum reticulatum,35.355833,99.133889 +Rheum rhomboideum,32.3,84.06 +Rheum spiciforme,28.85,85.29 +Rheum tanguticum,33.290107,101.112238 +Rheum tibeticum,32.0803,97.02 +Rheum uninerve,27.221519,112.805557 +Rheum webbianum,29.29,87.23 +Rheum wittrockii,43.15,81.12 +Rheum yunnanense,26.901731,98.869207 +Rumex acetosa,32.991111,97.348056 +Rumex angulatus,33.38,79.73 +Rumex aquaticus,37.07,115.67 +Rumex crispus,33.52,107.99 +Rumex dentatus,26.24,105.93 +Rumex hastatus,27.37,102.53 +Rumex kaschgaricus,43.15,81.13 +Rumex nepalensis,25.38,100.95 +Rumex patientia,32.094444,97.266667 +Drosera peltata,27.44883,99.822212 +Arenaria amdoensis,29.68,89.1 +Arenaria auricoma,28.48,98.92 +Arenaria barbata var. barbata,30.05,101.96 +Arenaria barbata var. hirsutissima,31.13,97.18 +Arenaria baxoiensis,30.05,96.91 +Arenaria blinkworthii,35.86,104.2 +Arenaria bomiensis,30.4578,100.302 +Arenaria brevipetala,32.8831,96.685 +Arenaria bryophylla,29.1911,90.6093 +Arenaria capillaris,40.49,115.1 +Arenaria cerastiiformis,27.48,88.9 +Arenaria chamdoensis,29.1381,99.3342 +Arenaria ciliolata,32,90 +Arenaria debilis,27.48,88.9 +Arenaria delavayi,35.86,104.2 +Arenaria densissima,27.48,88.9 +Arenaria dimorphitricha,29.2189,101.516 +Arenaria dsharaensis,30.878627,101.89063 +Arenaria edgeworthiana,28.36,87.76 +Arenaria euodonta,35.86,104.2 +Arenaria festucoides,29.99,100.26 +Arenaria filipes,27.928607,101.279419 +Arenaria fimbriata,33.97,107.24 +Arenaria forrestii,29.9,94.87 +Arenaria fridericae,27.82308,99.706013 +Arenaria galiiformis,32.3,84.07 +Arenaria gerzensis,37.62,78.28 +Arenaria glanduligera,30.65,91.08 +Arenaria haitzeshanensis,31.8,98.58 +Arenaria inconspicua,35.86,104.2 +Arenaria inornata,28.48,98.92 +Arenaria ionandra var. ionandra,25.584234,100.222124 +Arenaria ionandra var. melanotricha,25.584234,100.222124 +Arenaria ischnophylla,30.05,101.96 +Arenaria kansuensis,32.3169,96.6267 +Arenaria lancangensis,29.63,94.36 +Arenaria leucasteria,31,102.37 +Arenaria littledalei,29.04,93.07 +Arenaria longipes,27.928607,101.279419 +Arenaria longiseta,35.86,104.2 +Arenaria longistyla var. eugonophylla,27.82308,99.706013 +Arenaria longistyla var. longistyla,28.48611,98.911543 +Arenaria longistyla var. pleurogynoides,26.876096,100.229945 +Arenaria melanandra,33.3769,100.29 +Arenaria melandryiformis,30.47,91.09 +Arenaria melandryoides,29.68,89.09 +Arenaria membranisepala,37.599998,76.783333 +Arenaria microstella,29.03,100.3 +Arenaria minima,27.928607,101.279419 +Arenaria monilifera,29.22,94.22 +Arenaria monosperma,29.14,92.59 +Arenaria napuligera var. monocephala,25.584234,100.222124 +Arenaria napuligera var. napuligera,25.584234,100.222124 +Arenaria neelgherrensis,25,102 +Arenaria nigricans,26.12,99.95 +Arenaria nivalomontana,29.63,94.36 +Arenaria orbiculata,27.97,87.22 +Arenaria oreophila,31.8,98.58 +Arenaria pogonantha,29.49,103.39 +Arenaria polysperma,35.86,104.2 +Arenaria polytrichoides,29.77,84.03 +Arenaria przewalskii,34.4692,100.393 +Arenaria pseudostellaria,30.86,102.69 +Arenaria pulvinata,29.05,93.98 +Arenaria puranensis,28.12,87.33 +Arenaria quadridentat,37.599998,76.783333 +Arenaria ramellata,30.05,96.91 +Arenaria reducta,28.48611,98.911543 +Arenaria rhodantha,29.14,92.59 +Arenaria roborowskii,33.3769,100.29 +Arenaria rockii,29.3858,100.149 +Arenaria roseiflora,28.4,98.4 +Arenaria saginoides,31.39,90 +Arenaria serpyllifolia,31.33,110.78 +Arenaria setifera,30.05,101.96 +Arenaria shannanensis,28.48611,98.911543 +Arenaria smithiana,35.86,104.2 +Arenaria spathulifolia,29.1381,99.3342 +Arenaria stracheyi,29.77,84.03 +Arenaria szechuensis,28.91,89.6 +Arenaria trichophora,28.66,97.46 +Arenaria trichophylla,27.928607,101.279419 +Arenaria tumengelaensis,32.27,91.68 +Arenaria weissiana var. bifida,27.928607,101.279419 +Arenaria weissiana var. puberula,27.928607,101.279419 +Arenaria weissiana var. weissiana,27.928607,101.279419 +Arenaria xerophila var. xerophila,27.740736,98.66582 +Arenaria xerophila var. xiangchengensis,27.740736,98.66582 +Arenaria yulongshanensis,29.7017,98.5256 +Arenaria yunnanensis var. caespitosa,28.48611,98.911543 +Arenaria yunnanensis var. yunnanensis,35.86,104.2 +Arenaria zadoiensis,34.73,101.6 +Arenaria zhongdianensis,29.1031,99.6319 +Brachystemma calycinum,23.9,106.61 +Cerastium arvense,25.012526,102.700013 +Cerastium caespitosum,43.81,87.6 +Cerastium cerastoides,46.52,89.47 +Cerastium fontanum subsp. grandiflorum,29.63,94.36 +Cerastium fontanum subsp. tibetica,31.526047,120.31968 +Cerastium fontanum subsp. vulgare,27.7228,98.3508 +Cerastium furcatum,26.876096,100.229945 +Cerastium glomeratum,25,111 +Cerastium limprichtii,35.36984,103.708727 +Cerastium pumilum,44.29,87.93 +Cerastium pusillum,43.81,87.6 +Cerastium szechuense,30.05,101.96 +Cerastium thomsonii,38.9,75.2 +Dianthus orientalis,44.31,86.31 +Dianthus superbus,33.734722,110.368333 +Drymaria cordata,23.37,114.26 +Drymaria villosa,28.17,85.98 +Gymnocarpos przewalskii,42.82,93.51 +Gypsophila cephalotes,38.95,75.17 +Gypsophila cerastioides,28.85,85.29 +Gypsophila patrinii,38.430631,100.812746 +Lepyrodiclis holosteoides,36.47758,100.536638 +Melandrium apetalum var. himalayense,33.6939,99.4311 +Melandrium apetalum var. pallidum,33.6939,99.4311 +Melandrium apricum var. rutoense,27.82308,99.706013 +Melandrium asclepiadeum,28.17,85.98 +Melandrium caespitella,31.39,90 +Melandrium cashmeriana,28.85,85.29 +Melandrium fimbriatum,29.63,94.36 +Melandrium glandulosum var. hexapetalum,33,97.02 +Melandrium glandulosum var. longistylum,29.14,92.59 +Melandrium himalayensis,33.6939,99.4311 +Melandrium jugorum,35.86,104.2 +Melandrium lhassanum,29.65,91.12 +Melandrium linearifolium,39.62,115.42 +Melandrium namlaense,29.88,93.24 +Melandrium nangqenensis,29.14,92.59 +Melandrium napuligerum,29.65,91.12 +Melandrium nepalensis,29.77,84.03 +Melandrium nigrescens,28.48611,98.911543 +Melandrium nutans,27.82308,99.706013 +Melandrium pilosum,28,91.95 +Melandrium puranense,30.3,81.17 +Melandrium qomolangmacense,26.876096,100.229945 +Melandrium rubricalyx,29.32,95.33 +Melandrium silene,37.95,114.05 +Melandrium viscidulum,29.65,91.12 +Melandrium wardii,27.099444,98.872222 +Melandrium xainzaense,30.93,88.7 +Melandrium zhongbaense,28.36,87.76 +Minuartia kashmirica,29.85,95.76 +Minuartia verna,46.52,89.47 +Myosoton aquaticum,35.86,104.2 +Psammosilene tunicoides,29.0447,99.7114 +Pseudostellaria davidii,29.1419,99.6497 +Pseudostellaria heterantha var. heterantha,40.44,117.72 +Pseudostellaria heterantha var. nepalensis,27.82308,99.706013 +Pseudostellaria heterophylla,30.91,116.2 +Pseudostellaria himalaica,29.1031,99.6319 +Pseudostellaria maximowicziana,34.365,100.192778 +Pseudostellaria sylvatica,47.77,128.91 +Pseudostellaria tibetica,31.5,98.22 +Sagina japonica,29.805032,106.395571 +Sagina saginoides,35.86,104.2 +Silene adenocalyx,29.04,93.07 +Silene asclepiadea var. asclepiadea,25.7,104.46 +Silene asclepiadea var. dumicola,29.037008,100.298406 +Silene atrocastanea,36.519977,103.891767 +Silene atsaensis,0,0 +Silene baccifera,41.517,127.264 +Silene batangensis,30,99.1 +Silene bilingua,30,99.1 +Silene caespitella,29.65,91.12 +Silene cardiopetala,31.05,109.41 +Silene cashmeriana,28.85,85.29 +Silene chodatii var. chodatii,24.25111,101.865 +Silene chodatii var. pygmaea,24.25111,101.865 +Silene chungtienensis,28.661276,97.466916 +Silene conoidea,32.055645,118.797741 +Silene davidii,28.8164,99.2158 +Silene dawoensis,28.93,99.79 +Silene delavayi,27.03,100.23 +Silene dumetosa,27.82308,99.706013 +Silene esquamata,31.37,109.62 +Silene firma,43.815,127.972 +Silene fortunei,31.53,103.23 +Silene gonosperma,34.560278,99.521389 +Silene gracilicaulis,31.87,99.12 +Silene graminifolia,46.52,89.47 +Silene grandiflora,26.56023,100.17643 +Silene herbilegorum,31.62,99.99 +Silene himalayensis,28.649583,98.615834 +Silene huguettiae var. huguettiae,28.93,99.79 +Silene huguettiae var. pilosa,27.82308,99.706013 +Silene indica var. indica,27.75,89 +Silene jenisseensis,39.52,112.81 +Silene kantzeensis,30.05,101.96 +Silene karaczukuri,37.88,77.41 +Silene khasiana,24.9936,102.459 +Silene kialensis,31.62,99.99 +Silene kumaonensis,29.63,94.36 +Silene lamarum,27.928607,101.279419 +Silene lhassana,31.712092,88.118532 +Silene lichiangensis,36.519977,103.891767 +Silene lineariloba,26.876096,100.229945 +Silene markamensis,29.690001,98.599998 +Silene melanantha,26.11116,99.951049 +Silene monbeigii,29.6375,98.90833 +Silene moorcroftiana,29.00333,89.61833 +Silene muliensis,27.928607,101.279419 +Silene nangqenensis,32.27,96.22 +Silene napuligera,31.8,98.58 +Silene nepalensis,27.48,88.9 +Silene nigrescens subsp. latifolia,30.05,96.91 +Silene oblanceolata,36.519977,103.891767 +Silene otodonta,25.827253,100.575146 +Silene platyphylla var. platyphylla,26.56023,100.17643 +Silene platyphylla var. praticola,26.56023,100.17643 +Silene principis,28.7817,99.3075 +Silene pubicalycina,27.82308,99.706013 +Silene pubistyla,31.47,79.8 +Silene repens,35.21,106.65 +Silene rosiflora,28.48611,98.911543 +Silene rubricalyx,32,90 +Silene salicifolia,30.06,102.75 +Silene scopulorum,32.63,103.59 +Silene stewartiana,28.63611,98.66555 +Silene subcretacea,29.620758,94.933625 +Silene trachyphylla,32.27,96.22 +Silene viscidula,29.83,114.32 +Silene yeti,29.9844,101.900002 +Silene yunnanensis,35.86,104.2 +Silene zayuensis,28.67,97.47 +Silene zhoui,29.65,91.12 +Spergularia marina,31.13,104.17 +Stellaria alaschanica,34.6833,100.683 +Stellaria alsine var. alpina,28.48611,98.911543 +Stellaria arenarioides,35.68,94.23 +Stellaria brachypetala,43.79,87.63 +Stellaria congestiflora,30.13,81.33 +Stellaria crassifolia var. crassifolia,27.177166,99.28717 +Stellaria crassifolia var. linearis,27.177166,99.28717 +Stellaria decumbens var. acicularis,35.86,104.2 +Stellaria decumbens var. arenarioides,30.979541,101.125234 +Stellaria decumbens var. decumbens,28.48611,98.911543 +Stellaria decumbens var. polyantha,27.82308,99.706013 +Stellaria decumbens var. pulvinata,28.48611,98.911543 +Stellaria delavayi,26.655322,102.244617 +Stellaria dianthifolia,29.32,89.95 +Stellaria dichotoma,39.735109,114.896614 +Stellaria discolor,41.451,127.92 +Stellaria graminea var. chinensis,30.979541,101.125234 +Stellaria graminea var. graminea,27.7078,98.4969 +Stellaria graminea var. lanceolata,34,102.07 +Stellaria graminea var. pilosula,28.85,85.29 +Stellaria graminea var. shinensis,34.15745,107.843975 +Stellaria gyirongensis,29.32,95.33 +Stellaria infracta,37.28,114.51 +Stellaria lanata,35.86,104.2 +Stellaria lanipes,35.86,104.2 +Stellaria mainlingensis,28.932073,99.79929 +Stellaria media var. media,39.92,116.42 +Stellaria monosperma var. monosperma,27.24,105.72 +Stellaria monosperma var. paniculata,29.32,95.33 +Stellaria neglecta,31.526047,120.31968 +Stellaria nepalensis,29.32,95.33 +Stellaria nyalamensis,28.85,85.29 +Stellaria ovatifolia,19.200505,109.74159 +Stellaria palustris,28.65694,98.93333 +Stellaria patens,28.11,98.77 +Stellaria petiolaris,35.86,104.2 +Stellaria pilosoides,25.974058,98.684998 +Stellaria soongorica,43.810314,87.605163 +Stellaria souliei,29.1025,99.6708 +Stellaria subumbellata,28.66,97.46 +Stellaria tibetica,27.129292,100.235176 +Stellaria uda,29.1122,100.033 +Stellaria umbellata,34.334167,100.509444 +Stellaria vestita var. amplexicaulis,35.86,104.2 +Stellaria vestita var. vestita,35.86,104.2 +Stellaria winkleri,37.77,75.22 +Stellaria yunnanensis,35.86,104.2 +Stellaria zangnanensis,27.69,98.3008 +Thylacospermum caespitosum,31.9272,96.4597 +Vaccaria hispanica,36.25,77.92 +Achyranthes aspera var. aspera,28.7817,99.3075 +Achyranthes aspera var. indica,28.67,104.01 +Achyranthes bidentata,24.8309,98.767998 +Acroglochin persicarioides,32.144677,110.712211 +Aerva glabrata,23.32,107.58 +Agriophyllum squarrosum,39.333333,106.983333 +Alternanthera pungens,24.47,118.08 +Amaranthus blitum,45.354,128.731 +Amaranthus cruentus,36.7,114.2 +Amaranthus hypochondriacus,25.012526,102.700013 +Amaranthus retroflexus,37.55,112.15 +Amaranthus roxburghianus,34.264878,108.94426 +Amaranthus viridis,24.399244,109.379926 +Archiatriplex nanpinensis,32.637983,103.59895 +Atriplex centralasiatica var. centralasiatica,36.1933,100.715 +Atriplex centralasiatica var. megalotheca,37.88,77.41 +Atriplex fera,41.25,114.81 +Atriplex patens,46.41,125.34 +Atriplex sibirica,35.420833,99.466944 +Atriplex tatarica,42.94,89.18 +Axyris amaranthoides,42.786504,128.514494 +Axyris hybrida,41.25,114.81 +Axyris prostrata,30.29,81.17 +Baolia bracteata,29.77,84.03 +Ceratoides compacta var. longipilosa,33.38,79.73 +Chenopodium acuminatum,38.86,115.47 +Chenopodium ficifolium,46.940847,133.56425 +Chenopodium glaucum,32.280833,96.463056 +Chenopodium hybridum,0,0 +Chenopodium iljinii,32.9222,97.2917 +Chenopodium karoi,37.88,77.41 +Chenopodium tibeticum,28.91,89.6 +Corispermum declinatum,36.193333,100.715 +Corispermum dutreuilii,32.3,84.06 +Corispermum falcatum,28.91,89.6 +Corispermum heptapotamicum,34.608663,119.506767 +Corispermum lepidocarpum,31.712092,88.118533 +Corispermum lhasaense,29.65,91.12 +Corispermum mongolicum,40.29,97.04 +Corispermum pamiricum var. pamiricum,32.3,84.06 +Corispermum pamiricum var. pilocarpum,33.38,79.73 +Corispermum pseudofalcatum,29.27,88.88 +Corispermum stauntonii,36.519977,103.891767 +Corispermum tibeticum,32.9986,97.2517 +Corispermum tylocarpum,40.172397,116.360506 +Cyathula capitata,27.71,102.8 +Cyathula officinalis,30.06,102.75 +Cyathula tomentosa,28.85,85.29 +Deeringia amaranthoides,18.74,109.17 +Dysphania aristata,46.18,122.93 +Dysphania botrys,44.32,85.61 +Dysphania schraderiana,33.38,79.73 +Halogeton arachnoideus,38.430631,100.812746 +Halogeton glomeratus var. glomeratus,42.26,86.86 +Halogeton glomeratus var. tibeticus,39.733693,98.496466 +Haloxylon ammodendron,40.291851,97.04553 +Kalidium caspicum,44.32,85.61 +Kalidium cuspidatum var. sinicum,38.62,103.09 +Kalidium foliatum,47.633,87.983 +Kalidium gracile,36.72,99.25 +Kochia melanoptera,0,0 +Kochia prostrata,39.29,116.56 +Kochia scoparia,27.392869,114.619889 +Krascheninnikovia arborescens,34.7,100.23 +Krascheninnikovia ceratoides,32.280833,96.463056 +Krascheninnikovia compacta var. compacta,33.38,79.73 +Microgynoecium tibeticum,34.43808,104.036837 +Nanophyton erinaceum,43.810314,87.605163 +Salicornia europaea,30.18,121.34 +Salsola abrotanoides,36.193333,100.715 +Salsola arbuscula,48.3,87.26 +Salsola chinghaiensis,38.13,93.29 +Salsola collina,39.31,115.24 +Salsola heptapotamica,44.31,86.31 +Salsola implicata,44.32,85.61 +Salsola laricifolia,38.93,100.46 +Salsola monoptera,36.5875,100.490556 +Salsola nepalensis,28.85,85.29 +Salsola passerina,36.2,100.716667 +Salsola paulsenii,44.02,89.59 +Salsola pellucida,36.85,81.67 +Salsola tragus,36.46,107.99 +Salsola zaidamica,37.36,97.36 +Suaeda corniculata,36.193333,100.715 +Suaeda glauca,39.71,115.83 +Suaeda heterophylla,41.71,82.96 +Suaeda paradoxa,44.32,85.61 +Suaeda prostrata,35.98,109.37 +Suaeda salsa,34.608663,119.506767 +Sympegma regelii,36.1933,100.715 +Phytolacca acinosa,35.86,104.2 +Phytolacca americana,23.17,113.36 +Phytolacca polyandra,29.496119,103.398589 +Boerhavia diffusa,19.200505,109.74159 +Commicarpus chinensis,27.740736,98.66582 +Oxybaphus himalaicus var. chinensis,28.48611,98.911543 +Mollugo stricta,27.75,118.03 +Talinum paniculatum,23.17,113.35 +Portulaca oleracea,0,0 +Opuntia monacantha,26.876096,100.229945 +Alangium alpinum,35.86,104.2 +Alangium chinense subsp. chinense,26.122503,98.575005 +Alangium chinense subsp. pauciflorum,31.331599,110.783718 +Alangium chinense subsp. strigosum,35.86,104.2 +Alangium chinense subsp. triangulare,26.43,110.85 +Alangium faberi var. dolichocarpum,26.43,110.85 +Alangium platanifolium var. trilobum,41.3,124.12 +Camptotheca acuminata,35.86,104.2 +Cornus alba,0,0 +Cornus capitata,0,0 +Cornus chinensis,0,0 +Cornus controversa,41.806,126.907 +Cornus hemsleyi,31.7256,100.744 +Cornus macrophylla var. macrophylla,36.519977,103.891767 +Cornus macrophylla var. stracheyi,30.0092,94.9669 +Cornus oblonga var. glabrescens,35.86,104.2 +Cornus oblonga var. griffithii,27.92,101.27 +Cornus oblonga var. oblonga,25.4036,98.7178 +Cornus quinquenervis,36.519977,103.891767 +Cornus schindleri var. schindleri,28.375,99.7653 +Cornus ulotricha,30.663372,113.166529 +Cornus walteri,31.5,110.5 +Davidia involucrata var. vilmoriniana,35.86,104.2 +Nyssa javanica,35.86,104.2 +Nyssa javannica,35.86,104.2 +Swida monbeigii var. polifolia,35.86,104.2 +Toricellia angulata,26.07,98.5903 +Toricellia tiliifolia,29.49,103.39 +Deutzia bomiensis,29.85,95.76 +Deutzia calycosa var. calycosa,25.584234,100.222124 +Deutzia calycosa var. xerophyta,25.584234,100.222124 +Deutzia compacta,30,94.88 +Deutzia corymbosa var. corymbosa,28.93,93.23 +Deutzia discolor,31.331599,110.783718 +Deutzia glomeruliflora var. glomeruliflora,29.160369,103.148639 +Deutzia glomeruliflora var. lichiangensis,27.928607,101.279419 +Deutzia grandiflora,40.53333,115.78333 +Deutzia hookeriana,35.86,104.2 +Deutzia longifolia var. longifolia,29.6375,98.90833 +Deutzia monbeigii,35.86,104.2 +Deutzia purpurascens,35.86,104.2 +Deutzia rehderiana,25.5,100.183 +Deutzia rubens,25.7,100.116667 +Deutzia setchuenensis,28.722254,109.441346 +Deutzia staminea,27.82308,99.706013 +Deutzia subulata,28.300556,98.830833 +Dichroa febrifuga,25.5,99.0833 +Dichroa yunnanensis,35.86,104.2 +Hydrangea anomala,35.86,104.2 +Hydrangea aspera,36.519977,103.891767 +Hydrangea bretschneideri,35.86,104.2 +Hydrangea davidii,24.983333,112.833333 +Hydrangea heteromalla,28.5,85.22 +Hydrangea hypoglauca,35.86,104.2 +Hydrangea longipes var. fulvescens,30.368117,102.81464 +Hydrangea longipes var. longipes,30.368117,102.81464 +Hydrangea longipes var. rosthornii,35.86,104.2 +Hydrangea macrocarpa,25.584234,100.222124 +Hydrangea robusta,30.0092,94.9669 +Hydrangea strigosa var. angustifolia,35.86,104.2 +Hydrangea strigosa var. strigosa,35.86,104.2 +Hydrangea stylosa,26.452362,98.754776 +Hydrangea sungpanensis,28.262715,103.571742 +Hydrangea xanthoneura,35.86,104.2 +Philadelphus delavayi var. delavayi,35.86,104.2 +Philadelphus delavayi var. melanocalyx,35.86,104.2 +Philadelphus delavayi var. trichocladus,27.928607,101.279419 +Philadelphus henryi var. henryi,35.86,104.2 +Philadelphus incanus,29.61015,115.998104 +Philadelphus kansuensis,35.20256,102.521732 +Philadelphus lushuiensis,35.86,104.2 +Philadelphus pekinensis,40.642346,117.463749 +Philadelphus purpurascens var. purpurascens,28.48611,98.911543 +Philadelphus purpurascens var. venustus,28.48611,98.911543 +Philadelphus subcanus var. magdalenae,31.893892,104.43684 +Philadelphus subcanus var. subcans,31.68115,103.853481 +Philadelphus tomentosus,0,0 +Pileostegia viburnoides,35.86,104.2 +Schizophragma crassum var. hsitaoanum,27.7072,98.5447 +Schizophragma integrifolium var. glaucescens,26.679722,106.33697 +Schizophragma integrifolium var. integrifolium,29.010101,114.412629 +Impatiens amplexicaulis,27.82308,99.706013 +Impatiens apsotis,30.2219,99.2583 +Impatiens arguta,25.584234,100.222124 +Impatiens bahanensis,35.86,104.2 +Impatiens barbata,29.037008,100.298406 +Impatiens bicornuta,28.85,85.29 +Impatiens bracteata,28,91.95 +Impatiens ceratophora,26.901731,98.869207 +Impatiens chimiliensis,35.86,104.2 +Impatiens chiulungensis,25.0167,102.6833 +Impatiens chungtienensis,27.82308,99.706013 +Impatiens corchorifolia,29.037008,100.298406 +Impatiens cornucopia,27.44164,104.873643 +Impatiens crassicaudex,30.65,97.56 +Impatiens cristata,28,91.95 +Impatiens cuonaensis,29.85,95.76 +Impatiens cymbifera,28.17,85.98 +Impatiens delavayi,35.86,104.2 +Impatiens desmantha,27.7408,98.66 +Impatiens dimorphophylla,25.3922,102.72 +Impatiens drepanophora,28.48611,98.911543 +Impatiens falcifer,28.17,85.98 +Impatiens forrestii,25.7,100.117 +Impatiens fragicolor,29.7786,94.7247 +Impatiens hengduanensis,35.86,104.2 +Impatiens holocentra,35.86,104.2 +Impatiens infirma,28.93,99.79 +Impatiens laxiflora,29.075833,99.918889 +Impatiens lecomtei,35.86,104.2 +Impatiens linghziensis,29.63,94.4 +Impatiens longipes,27.48,88.9 +Impatiens margaritifera var. humilis,28.7464,100.269 +Impatiens margaritifera var. margaritifera,29.05,93.07 +Impatiens margaritifera var. purpurascens,29.05,93.07 +Impatiens microcentra,35.86,104.2 +Impatiens noli-tangere,38.79,113.43 +Impatiens nubigena,28.48611,98.911543 +Impatiens nyimana,29.85,95.76 +Impatiens oligoneura,34.56,105.72 +Impatiens platyceras,27.696857,103.248771 +Impatiens pseudo-kingii,0,0 +Impatiens puberula,30,94.9 +Impatiens purpurea,26.901731,98.869207 +Impatiens racemosa var. ecalcarata,25.790801,114.537223 +Impatiens racemosa var. racemosa,29.32,95.33 +Impatiens radiata,35.86,104.2 +Impatiens rectangula,26.901731,98.869207 +Impatiens rubro-striata,24.9667,102.633 +Impatiens scabrida,27.48,88.9 +Impatiens serrata,28.85,85.29 +Impatiens siculifer var. siculifer,35.86,104.2 +Impatiens soulieana,31.9822,100.964 +Impatiens stenantha,26.901731,98.869207 +Impatiens subecalcarata,29.1411,99.9644 +Impatiens sulcata,28.1217,85.99 +Impatiens taronensis,35.86,104.2 +Impatiens tenerrima,30.066708,102.758313 +Impatiens tenuibracteata,29.700995,95.523805 +Impatiens thiochroa,27.82308,99.706013 +Impatiens thomsonii,27.48,88.9 +Impatiens tomentella,35.86,104.2 +Impatiens tortisepala,30.06,102.75 +Impatiens tsangshanensis,25.584234,100.222124 +Impatiens tuberculata,27.48,88.9 +Impatiens uliginosa,0,0 +Impatiens urticifolia,29.03,93.92 +Impatiens vittata,30.066708,102.758313 +Impatiens weihsiensis,27.177166,99.28717 +Impatiens xanthina var. xanthina,35.86,104.2 +Impatiens xanthocephala,27.928607,101.279419 +Polemonium caeruleum var. caeruleum,31.0947,99.0817 +Polemonium chinense,30.663372,113.166529 +Sladenia celastrifolia,24.67,98.64 +Adinandra hirta,22.46,107.83 +Adinandra latifolia,35.86,104.2 +Cleyera japonica var. wallichiana,35.86,104.2 +Eurya acuminata,35.86,104.2 +Eurya cavinervis,35.86,104.2 +Eurya chuekiangensis,35.86,104.2 +Eurya crassilimba,29.32,95.33 +Eurya gracilipes,24.980556,113.020833 +Eurya groffii,35.86,104.2 +Eurya gungshanensis,35.86,104.2 +Eurya handel-mazzettii,35.86,104.2 +Eurya pseudocerasifera,35.86,104.2 +Eurya pyracanthifolia,35.86,104.2 +Eurya trichocarpa,35.86,104.2 +Eurya tsaii,35.86,104.2 +Ternstroemia biangulipes,35.86,104.2 +Ternstroemia gymnanthera,26.466667,111.316667 +Bassia dasyphylla,39.333333,106.983333 +Diploknema butyracea,0,0 +Sarcosperma kachinense,18.516726,110.029085 +Sarcosperma laurinum,23.9,106.61 +Diospyros dumetorum,23.72,106.84 +Diospyros kaki,29.5367,107.2833 +Diospyros lotus,36.519977,103.891767 +Diospyros variegata,29.32,95.33 +Androsace adenocephala,29.32,95.33 +Androsace akbaitalensis,37,80.8 +Androsace alaschanica var. zadoensis,32.95,94.37 +Androsace alchemilloides,27.82308,99.706013 +Androsace axillaris,25.012526,102.700013 +Androsace bisulca var. aurata,29.000343,101.507299 +Androsace bisulca var. bisulca,29.000343,101.507299 +Androsace brachystegia,30.979541,101.125234 +Androsace brotheri,42.051417,128.061568 +Androsace bulleyana,27.2536,100.153 +Androsace cernuiflora,32.2,96.48 +Androsace ciliifolia,28.36,87.76 +Androsace cuttingii,28.57,91.44 +Androsace delavayi,28.401089,99.451408 +Androsace dissecta,26.088547,103.176727 +Androsace elatior,32.77,96.67 +Androsace erecta,34.683333,100.683333 +Androsace euryantha,28.3523,85.7833 +Androsace flavescens,37.88,77.41 +Androsace forrestiana,29.1081,99.9078 +Androsace gagnepainiana,35.86,104.2 +Androsace geraniifolia,35.86,104.2 +Androsace globifera,33.38,79.73 +Androsace gmelinii var. geophila,33.99,102.07 +Androsace gmelinii var. gmelinii,33.99,102.07 +Androsace graceae,35.86,104.2 +Androsace graminifolia,28.91,89.6 +Androsace henryi,35.86,104.2 +Androsace integra,27.129337,100.233665 +Androsace lehmannii,28.36667,85.83333 +Androsace limprichtii,28.368742,99.754272 +Androsace mariae,36.63,101.2 +Androsace maxima,42.32,86.38 +Androsace minor,30.05,101.96 +Androsace mollis,28.66,97.46 +Androsace nortonii,28.35,90.9 +Androsace olgae,42.32,86.4 +Androsace ovczinnikovii,43.81,87.6 +Androsace rigida,27.82308,99.706013 +Androsace robusta,28.85,85.29 +Androsace rockii,26.87,99.64 +Androsace rotundifolia var. stracheyi,31.47,79.8 +Androsace runcinata,28.204613,107.089428 +Androsace sarmentosa,28.3523,85.7833 +Androsace selago,28.8164,99.2158 +Androsace septentrionalis var. breviscapa,43.15,81.12 +Androsace septentrionalis var. septentrionalis,43.15,81.12 +Androsace spinulifera,28.93,99.79 +Androsace squarrosula,35.55,99.56 +Androsace strigillosa,36.519977,103.891767 +Androsace sublanata,34.75,100.22 +Androsace tanggulashanensis,29.68,89.09 +Androsace tapete,34.345278,100.255 +Androsace umbellata,31.79,115.4 +Androsace wardii,27.81908,99.70305 +Androsace yargongensis,31.80612,98.580912 +Androsace zambalensis,32.883056,96.685 +Androsace zayulensis,28.36,87.76 +Ardisia crenata f. crenata,26.466667,111.316667 +Ardisia crenata f. hortensis,26.466667,111.316667 +Ardisia garrettii,22.79,103.09 +Ardisia thyrsiflora,21.68,101.31 +Ardisia waitakii,22.446542,111.031652 +Cortusa brotheri,38.9,75.2 +Cortusa matthioli,38,113 +Embelia floribunda,35.86,104.2 +Embelia gamblei,25.4014,98.7233 +Embelia parviflora,35.86,104.2 +Embelia procumbens,23.880344,100.092756 +Embelia ribes,35.86,104.2 +Embelia undulata,27.7431,98.3469 +Embelia vestita,35.86,104.2 +Glaux maritima,0,0 +Lysimachia ardisioides,26,108.45 +Lysimachia baoxingensis,30.368117,102.81464 +Lysimachia barystachys,36.06667,120.33334 +Lysimachia breviflora,26.901731,98.869207 +Lysimachia christinae,36.519977,103.891767 +Lysimachia chungdienensis,27.82308,99.706013 +Lysimachia congestiflora,30.559627,114.322539 +Lysimachia debilis,27.7414,98.3433 +Lysimachia delavayi,26.56023,100.17643 +Lysimachia deltoidea var. cinerascens,25.5278,98.6664 +Lysimachia drymarifolia,29.22,102.35 +Lysimachia engleri var. engleri,25.670153,99.958012 +Lysimachia engleri var. glabra,25.670153,99.958012 +Lysimachia excisa,0,0 +Lysimachia hemsleyi,26.088547,103.176727 +Lysimachia laxa,35.86,104.2 +Lysimachia lichiangensis,0,0 +Lysimachia lobelioides,27.4,102.17 +Lysimachia medogensis,29.33,95.33 +Lysimachia parvifolia,29.53,117.37 +Lysimachia platypetala,30.36,102.81 +Lysimachia prolifera,28.685449,103.676251 +Lysimachia pumila,30.05,101.96 +Lysimachia reflexiloba,27.928607,101.279419 +Lysimachia roseola,29.000343,101.507299 +Lysimachia stellarioides,0,0 +Lysimachia taliensis,25.7,100.117 +Lysimachia tengyuehensis,35.86,104.2 +Lysimachia tsarongensis,35.86,104.2 +Lysimachia violascens,26.56023,100.17643 +Lysimachia vulgaris,27.82308,99.706013 +Maesa argentea,23.763342,98.82524 +Maesa cavinervis,29.3253,95.333197 +Maesa chisia,24.8308,98.7678 +Maesa densistriata,0,0 +Maesa manipurensis,27.6894,98.2767 +Maesa marionae,35.86,104.2 +Maesa rugosa,28.66,97.46 +Myrsine africana,29.22,102.35 +Myrsine kwangsiensis var. tibetica,0,0 +Myrsine seguinii,29.15,112.5 +Myrsine semiserrata,35.86,104.2 +Omphalogramma brachysiphon,29.32,95.33 +Omphalogramma delavayi,25.683662,100.098665 +Omphalogramma elegans,35.86,104.2 +Omphalogramma elwesianum,27.6961,98.4553 +Omphalogramma forrestii,27.82308,99.706013 +Omphalogramma minus,35.86,104.2 +Omphalogramma souliei,35.86,104.2 +Omphalogramma tibeticum,31.712092,88.118532 +Omphalogramma vinciflorum,30.93466,102.901099 +Pomatosace filicula,35.2,102.52 +Primula advena var. advena,31.712092,88.118532 +Primula advena var. euprepes,27.82308,99.706013 +Primula aerinantha,35.85,102.48 +Primula agleniana,35.86,104.2 +Primula algida,43.15,81.12 +Primula alpicola,29.32,95.33 +Primula alsophila,30.14136,101.865706 +Primula amethystina subsp. amethystina,35.86,104.2 +Primula amethystina subsp. argutidens,30.05,101.96 +Primula amethystina subsp. brevifolia,26.901731,98.869207 +Primula aromatica,24.976725,101.487417 +Primula atrodentata,29.63,94.36 +Primula baileyana,29.58,95 +Primula barbatula,31.712092,88.118532 +Primula bathangensis,27.3222,100.219 +Primula bella subsp. bonatiana,26.088547,103.176727 +Primula bellidifolia,28.3,90.85 +Primula bhutanica,27.928607,101.279419 +Primula blattariformis,27.928607,101.279419 +Primula bracteata,28.71,99.28 +Primula brevicula,28.93,99.79 +Primula bullata var. bullata,25.584234,100.222124 +Primula bullata var. rufa,25.584234,100.222124 +Primula buryana var. buryana,28.36,87.76 +Primula buryana var. purpurea,28.36,87.76 +Primula caldaria,0,0 +Primula calderiana,29.63,94.36 +Primula calliantha subsp. bryophila,35.86,104.2 +Primula calliantha subsp. calliantha,35.86,104.2 +Primula calliantha subsp. mishmiensis,35.86,104.2 +Primula candicans,31.712092,88.118532 +Primula capitata subsp. capitata,28.66,97.46 +Primula capitata subsp. sphaerocephala,28.66,97.46 +Primula caveana,28.63806,98.61222 +Primula cawdoriana,29.62,94.68 +Primula chamaedoron,31.712092,88.118532 +Primula chamaethauma,35.86,104.2 +Primula chionantha,28.7464,100.269 +Primula chionata,29.32,95.33 +Primula chionogenes,31.712092,88.118532 +Primula chlorodryas,27.05,98.97 +Primula chungensis,35.86,104.2 +Primula concholoba,28.32,98.96 +Primula concinna,28.65,87.12 +Primula conspersa,32.98383,103.6691 +Primula deflexa,30.36,102.81 +Primula denticulata subsp. alta,27.177166,99.28717 +Primula denticulata subsp. denticulata,30.36,102.81 +Primula diantha,28.479722,98.948611 +Primula dickieana,35.86,104.2 +Primula dryadifolia subsp. chlorodryas,27.05,98.97 +Primula dryadifolia subsp. dryadifolia,28.5733,99.8117 +Primula dryadifolia subsp. jonardunii,29.58,95.02 +Primula dubernardiuna,27.80555,99.90638 +Primula dumicola,35.86,104.2 +Primula eburnea,26.466667,111.316667 +Primula elizabethae,28.75,94 +Primula elongata var. barnardoana,29,93.95 +Primula elongata var. elongata,29,93.95 +Primula erythrocarpa,31.712092,88.118532 +Primula faberi,29.49,103.39 +Primula falcifolia,29.32,95.33 +Primula fangii,31.905842,102.206261 +Primula farreriana,36.519977,103.891767 +Primula fasciculata,31.49,98.21 +Primula fernaldiana,31.8131,99.7178 +Primula firmipes,29,101.5 +Primula flabellifera,31.712092,88.118532 +Primula flaccida,28.9208,100.284 +Primula flava,34.56,99.67 +Primula florindae,30.0058,93.9231 +Primula forrestii,27.129559,100.238594 +Primula gambeliana,29.15,92.58 +Primula gemmifera var. amoena,26.088547,103.176727 +Primula gemmifera var. gemmifera,27.82308,99.706013 +Primula gemmifera var. monantha,26.088547,103.176727 +Primula gemmifera var. rupestris,26.088547,103.176727 +Primula gemmifera var. zambalensis,28.48611,98.911543 +Primula geraniifolia,35.86,104.2 +Primula glabra subsp. genestieriana,35.86,104.2 +Primula glabra subsp. glabra,30.28,99.53 +Primula glomerata,27.80555,99.90638 +Primula gracilipes,28.37,87.77 +Primula griffithii,22.013258,100.787354 +Primula henryi,23.298608,103.494193 +Primula heucherifolia,28.96,102.104 +Primula hilaris,31.712092,88.118532 +Primula hookeri,28.48611,98.911543 +Primula involucrata subsp. involucrata,28.85,85.29 +Primula involucrata subsp. yargongensis,30.055305,101.96483 +Primula ioessa,29.65,91.12 +Primula jaffreyana,28.85,90.45 +Primula jucunda,31.712092,88.118532 +Primula kialensis,30.927887,102.886164 +Primula kingii,21.625556,101.584722 +Primula klattii,27.80555,99.90638 +Primula kongboensis,27.48,88.9 +Primula lacerata,24.18,113.4 +Primula laciniata,30.979541,101.125234 +Primula lactucoides,33,97.02 +Primula latisecta,29.63,94.36 +Primula laxiuscula,31.712092,88.118532 +Primula littledalei,30.32,90.58 +Primula macrophylla var. atra,28.37,87.77 +Primula macrophylla var. macrocarpa,31.47,79.8 +Primula macrophylla var. macrophylla,36.43,78 +Primula macrophylla var. moorcroftiana,37.77,75.22 +Primula macrophylla var. ninguida,36.519977,103.891767 +Primula malacoides,32.05,118.79 +Primula malvacea var. alba,26.3,100.2 +Primula malvacea var. malvacea,29.037008,100.298406 +Primula minutissima,28,91.95 +Primula moupinensis subsp. barkamensis,31.9,102.22 +Primula moupinensis subsp. moupinensis,29.792928,102.846741 +Primula muscoides,28.55,85.3 +Primula mystrophylla,35.86,104.2 +Primula nutans,35.14,100.61 +Primula obconica subsp. begoniiformis,23.763342,98.82524 +Primula obconica subsp. nigroglandulosa,23.763342,98.82524 +Primula obconica subsp. obconica,27.177166,99.28717 +Primula obliqua,0,0 +Primula occlusa,31.712092,88.118532 +Primula odontica,31.712092,88.118532 +Primula optata,31.9272,96.4597 +Primula orbicularis,30.36,102.81 +Primula oxygraphidifolia,28.37,101.1 +Primula pamirica,42.6,85.5 +Primula pauliana,26.655322,102.244617 +Primula polyneura,29.914155,102.234618 +Primula pomeiensis,29.87,95.77 +Primula prattii,29.578465,100.718252 +Primula prenantha subsp. morsheadiana,29.32,95.33 +Primula prenantha subsp. prenantha,27.7078,98.4969 +Primula primulina,28.12,91.9 +Primula pseudodenticulata,24.688873,101.641935 +Primula pseudoglabra,29.496119,103.398589 +Primula pulchella,27.12936,100.23835 +Primula pumilio,28.57,91.44 +Primula purdomii,32.637983,103.598949 +Primula qinghaiensis,32.27,96.22 +Primula reticulata,30.13,81.33 +Primula rhodochroa var. geraldinae,31.712092,88.118532 +Primula rhodochroa var. rhodochroa,28.36,87.76 +Primula rimicola,31.712092,88.118532 +Primula rockii,27.928607,101.279419 +Primula rotundifolia,27.80555,99.90638 +Primula rubicunda,27.82308,99.706013 +Primula runcinata,27.82308,99.706013 +Primula rupicola var. albicolor,0,0 +Primula rupicola var. rupicola,27.928607,101.279419 +Primula sandemaniana,31.712092,88.118532 +Primula sapphirina,36.133915,120.39612 +Primula scapigera,28.17,85.98 +Primula secundiflora,27.783297,99.582634 +Primula septemloba,0,0 +Primula serratifolia,35.86,104.2 +Primula sikkimensis var. pudibunda,27.42,99.3 +Primula sikkimensis var. rhodochroa,28.36,87.76 +Primula silaensis,35.86,104.2 +Primula sinolisteri var. aspera,35.86,104.2 +Primula sinoplantaginea var. fengxiangiana,32.77,96.67 +Primula sinoplantaginea var. sinoplantaginea,35.86,104.2 +Primula smithiana,27.48,88.9 +Primula sonchifolia,30.05,101.96 +Primula stenocalyx,30.93,102.95 +Primula strumosa,28.17,85.98 +Primula subularia,31.712092,88.118532 +Primula taliensis subsp. procera,27.73,98.67 +Primula tangutica var. flavescens,33.605765,103.243112 +Primula tangutica var. tangutica,33.605765,103.243112 +Primula tanneri,31.712092,88.118532 +Primula tayloriana,26.33,115.36 +Primula tenella,28.36305,98.7925 +Primula tenuiloba,0,0 +Primula tibetica,29.77,84.03 +Primula triloba,35.86,104.2 +Primula tsariensis,29.9,94.87 +Primula tsongpenii,31.712092,88.118532 +Primula turkestanica,43.81,87.6 +Primula urticifolia,43.7,127.139 +Primula vaginata subsp. eucyclia,35.86,104.2 +Primula vaginata subsp. vaginata,35.86,104.2 +Primula valentiniana,27.6961,98.4553 +Primula walshii,30,99.1 +Primula waltonii,30.6839,97.2619 +Primula watsonii,26.088547,103.176727 +Primula whitei,27.48,88.9 +Primula wollastonii,28.85,85.3 +Primula woodwardii,34.43808,104.036837 +Primula youngeriana,29.5,94.25 +Primula yunnanensis,35.86,104.2 +Camellia caudata,26.466667,111.316667 +Camellia reticulata,24.976725,101.487417 +Camellia sinensis,26.466667,111.316667 +Hartia brevicalyx,29.32,95.33 +Pyrenaria khasiana,29.32,95.33 +Schima argentea,35.86,104.2 +Schima khasiana,35.86,104.2 +Schima parviflora,29.63,94.36 +Symplocos anomala,29.5367,107.2833 +Symplocos ascidiiformis,29.32,95.33 +Symplocos cochinchinensis var. cochinchinensis,24.8308,98.7678 +Symplocos cochinchinensis var. laurina,24.8308,98.7678 +Symplocos dryophila,31.824099,108.629497 +Symplocos glandulosopunctata,29.32,95.33 +Symplocos glomerata,36.519977,103.891767 +Symplocos lucida,30.253518,120.119968 +Symplocos paniculata,32.083333,118.75 +Symplocos pyrifolia,28.253586,121.022805 +Symplocos racemosa,18.392222,109.658889 +Symplocos ramosissima,28.27,105.1 +Symplocos sumuntia,36.519977,103.891767 +Symplocos theaefolia,32.083333,118.75 +Symplocos viridissima,19.200505,109.74159 +Symplocos xylopyrena,29.32,95.33 +Berneuxia thibetica,35.86,104.2 +Diapensia himalaica,35.86,104.2 +Diapensia purpurea,35.86,104.2 +Diapensia wardii,29.49,94.92 +Huodendron tibeticum,27.9058,98.3364 +Huodendron tomentosum,35.86,104.2 +Rehderodendron gongshanense,35.86,104.2 +Styrax grandiflorus,26.43,110.85 +Styrax hookeri,36.519977,103.891767 +Styrax limprichtii,25.0667,101.783 +Styrax perkinsiae,35.86,104.2 +Styrax serrulatus,36.13945,120.68305 +Actinidia arguta var. arguta,30.222233,110.871148 +Actinidia arguta var. purpurea,30.055305,101.96483 +Actinidia callosa var. acuminata,25.6739,98.6606 +Actinidia callosa var. henryi,35.86,104.2 +Actinidia chinensis var. deliciosa,28.230591,103.636769 +Actinidia kolomikta,27.25,112.683333 +Actinidia maloides var. maloides,29.496119,103.398589 +Actinidia melanandra,27.221519,112.805557 +Actinidia pilosula,27.7314,98.3461 +Actinidia polygama,41.806,126.907 +Actinidia rubricaulis,23.488753,107.726089 +Actinidia tetramera,30.055305,101.96483 +Actinidia venosa,30.0087,94.9578 +Clematoclethra faberi,25.8833,100.017 +Clematoclethra lasioclada,29.5864,102.028 +Clematoclethra scandens subsp. actinidioides,30.055305,101.96483 +Clematoclethra scandens subsp. scandens,31.08,103.26 +Saurauia cerea,29.32,95.33 +Saurauia erythrocarpa,35.86,104.2 +Saurauia griffithii var. annamica,29.32,95.33 +Saurauia griffithii var. griffithii,29.32,95.33 +Saurauia macrotricha,35.86,104.2 +Saurauia napaulensis,35.86,104.2 +Saurauia polyneura var. paucinervis,29.046341,93.074702 +Saurauia polyneura var. polyneura,0,0 +Saurauia punduana,29.32,95.33 +Saurauia rubricalyx,29.32,95.33 +Saurauia sinohirsuta,22.645435,114.286461 +Saurauia yunnanensis,22.010889,100.79926 +Agapetes aborensis,29.32,95.33 +Agapetes anonyma,27.9983,98.6194 +Agapetes burmanica,21.475834,101.56752 +Agapetes buxifolia,25.353181,98.120339 +Agapetes camelliifolia,29.32,95.33 +Agapetes ciliata,29.32,95.33 +Agapetes discolor,25.020615,98.490007 +Agapetes epacridea,29.32,95.33 +Agapetes flava,25.353181,98.120339 +Agapetes forrestii,25.353181,98.120339 +Agapetes griffithii,25.020615,98.490007 +Agapetes hyalocheilos,29.32,95.33 +Agapetes incurvata,25.353181,98.120339 +Agapetes interdicta var. interdicta,35.86,104.2 +Agapetes interdicta var. stenoloba,35.86,104.2 +Agapetes lacei var. glaberrima,35.86,104.2 +Agapetes lacei var. lacei,35.86,104.2 +Agapetes lacei var. tomentella,36.52,103.89167 +Agapetes leiocarpa,29.32,95.33 +Agapetes leucocarpa,29.32,95.33 +Agapetes linearifolia,29.32,95.33 +Agapetes listeri,29.32,95.33 +Agapetes macrophylla,25.353181,98.120339 +Agapetes mannii,35.86,104.2 +Agapetes marginata,29.33,95.33 +Agapetes medogensis,29.32,95.33 +Agapetes miniata,25.020615,98.490007 +Agapetes miranda,31.712092,88.118532 +Agapetes mitrarioides,28.17,85.98 +Agapetes nutans,29.32,95.33 +Agapetes oblonga,25.58,98.29 +Agapetes pensilis,35.86,104.2 +Agapetes pilifera,35.86,104.2 +Agapetes praeclara,29.307961,95.359353 +Agapetes pseudo-griffithii,25.020615,98.490007 +Agapetes pubiflora,35.86,104.2 +Agapetes pyrolifolia,35.86,104.2 +Agapetes salicifolia,29.32,95.33 +Agapetes serpens,28.36,87.76 +Agapetes spissa,29.32,95.33 +Agapetes subsessilifolia,29.32,95.33 +Agapetes xizangensis,29.32483,95.326681 +Arctous alpinus,47.7,86.85 +Arctous microphyllus,27.82308,99.706013 +Arctous ruber,31.8503,102.67 +Cassiope abbreviata,32.63,103.59 +Cassiope argyrotricha,35.86,104.2 +Cassiope fastigiata,35.86,104.2 +Cassiope myosuroides,35.86,104.2 +Cassiope nana,28.48611,98.911543 +Cassiope palpebrata,27.762306,98.941667 +Cassiope pectinata,28.397146,99.444931 +Cassiope selaginoides,28.385,98.78583 +Cassiope wardii,29.58,94.97 +Cheilotheca macrocarpa,26.00537,110.599945 +Chimaphila japonica,29.8,95.7 +Craibiodendron forrestii,35.86,104.2 +Craibiodendron henryi,35.86,104.2 +Craibiodendron yunnanense,35.86,104.2 +Diplarche multiflora,35.86,104.2 +Diplarche pauciflora,28.661276,97.466916 +Enkianthus chinensis,31.52773,110.006 +Enkianthus deflexus var. deflexus,27.715,98.502222 +Enkianthus deflexus var. variegatus,27.48,88.9 +Gaultheria brevistipes,29.32,95.33 +Gaultheria cardiosepala,35.86,104.2 +Gaultheria cuneata,36.519977,103.891767 +Gaultheria dolichopoda,29.32,95.33 +Gaultheria dumicola var. aspera,35.86,104.2 +Gaultheria dumicola var. dumicola,35.86,104.2 +Gaultheria dumicola var. petanoneuron,35.86,104.2 +Gaultheria fragrantissima,0,0 +Gaultheria griffithiana,35.86,104.2 +Gaultheria heteromera,29.33,95.33 +Gaultheria hookeri var. angustifolia,35.86,104.2 +Gaultheria hookeri var. hookeri,35.86,104.2 +Gaultheria hypochlora,35.86,104.2 +Gaultheria notabilis,29.32,95.33 +Gaultheria nummularioides,28.66,97.46 +Gaultheria prostrata,35.86,104.2 +Gaultheria purpurea,28.05,87.27 +Gaultheria semi-infera,27.48,88.9 +Gaultheria sinensis var. nivea,35.86,104.2 +Gaultheria sinensis var. sinensis,35.86,104.2 +Gaultheria suborbicularis,35.86,104.2 +Gaultheria tetramera,35.86,104.2 +Gaultheria trichophylla,28.05,87.27 +Gaultheria trigonoclada,24.9353,98.805 +Gaultheria wardii var. wardii,35.86,104.2 +Gaultheria wardii var. serrulata,29.32,95.33 +Hypopitys hypopitys var. hirsuta,35.86,104.2 +Leucothoe griffithiana var. griffithiana,35.86,104.2 +Leucothoe griffithiana var. sessilifolia,35.86,104.2 +Lyonia doyonensis,35.86,104.2 +Lyonia macrocalyx,35.86,104.2 +Lyonia ovalifolia var. lanceolata,35.86,104.2 +Lyonia ovalifolia var. ovalifolia,27.872778,102.386389 +Lyonia ovalifolia var. tomentosa,24.43706,100.123247 +Lyonia villosa var. pubescens,30.05,101.96 +Lyonia villosa var. sphaerantha,35.86,104.2 +Lyonia villosa var. villosa,35.86,104.2 +Moneses uniflora,38.78,101.08 +Monotropa hypopitys,35.86,104.2 +Monotropa uniflora,29.85,95.72 +Monotropastrum humile,28.85,85.29 +Orthilia obtusata var. obtusata,42.786504,128.514494 +Orthilia obtusata var. xizangensis,28.67,97.47 +Orthilia secunda,43.889,127.848 +Pieris formosa var. formosa,26.901731,98.869207 +Pieris formosa var. forrestii,26.901731,98.869207 +Pyrola calliantha,28.861475,115.362625 +Pyrola decorata,25.012526,102.700013 +Pyrola forrestiana,35.86,104.2 +Pyrola markonica,31.905842,102.206261 +Pyrola minor,27.7,98.56666 +Pyrola monophylla,32.98,107.77 +Pyrola sororia,35.86,104.2 +Pyrola szechuanica,28.262715,103.571742 +Rhododendron adenogynum,26.876096,100.229945 +Rhododendron aganniphum var. aganniphum,29.6728,96.7781 +Rhododendron aganniphum var. flavorufum,29.63,94.36 +Rhododendron aganniphum var. schizopeplum,29.6728,96.7781 +Rhododendron agastum var. agastum,35.86,104.2 +Rhododendron albertsenianum,27.765751,98.603249 +Rhododendron alutaceum var. alutaceum,26.3,99.4 +Rhododendron alutaceum var. iodes,26.4,99.3 +Rhododendron alutaceum var. russotinctum,26.3,99.4 +Rhododendron amandum,31.712092,88.118532 +Rhododendron amesiae,30.055305,101.96483 +Rhododendron anthopogon,31.95,102.65 +Rhododendron anthopogonoides,36.92,101.32 +Rhododendron anthosphaerum,35.86,104.2 +Rhododendron aperantum,35.86,104.2 +Rhododendron araiophyllum,35.86,104.2 +Rhododendron arboreum var. arboreum,27.740736,98.66582 +Rhododendron arboreum var. cinnamomeum,28.36,87.76 +Rhododendron arboreum var. roseum,27.48,88.9 +Rhododendron argipeplum,28,91.95 +Rhododendron arizelum,35.86,104.2 +Rhododendron asperulum,35.86,104.2 +Rhododendron asterochnoum,30.055305,101.96483 +Rhododendron atropunicum,27.93,101.28 +Rhododendron augustinii subsp. augustinii,27.705,98.433056 +Rhododendron augustinii subsp. chasmanthum,28.4,98.15 +Rhododendron auritum,37.76675,119.1813 +Rhododendron baileyi,28.66,97.46 +Rhododendron bainbridgeanum,35.86,104.2 +Rhododendron balangense,31.08,103.26 +Rhododendron balfourianum var. aganniphoides,27.928607,101.279419 +Rhododendron bamaense,32.93,100.73 +Rhododendron barbatum,28.85,85.29 +Rhododendron barkamense,26.4,99.4 +Rhododendron basilicum,26.876096,100.229945 +Rhododendron bathyphyllum,28.48611,98.911543 +Rhododendron beanianum,28.93,99.8 +Rhododendron beesianum,35.86,104.2 +Rhododendron bijiangense,35.86,104.2 +Rhododendron bonvalotii,28.9406,102.1244 +Rhododendron boothii,29.32,95.33 +Rhododendron brachyanthum subsp. hypolepidotum,35.86,104.2 +Rhododendron bracteatum,30.368117,102.81464 +Rhododendron bulu,29.3,91.98 +Rhododendron bureavii,30.36,102.81 +Rhododendron callimorphum var. callimorphum,35.86,104.2 +Rhododendron calophytum var. openshawianum,29.496119,103.398589 +Rhododendron calostrotum var. calciphilum,27.6961,98.4553 +Rhododendron calostrotum var. calostrotum,35.86,104.2 +Rhododendron calvescens var. calvescens,35.86,104.2 +Rhododendron calvescens var. duseimatum,35.86,104.2 +Rhododendron camelliiflorum,25.453317,98.745517 +Rhododendron campanulatum,27.97,87.22 +Rhododendron campylocarpum subsp. caloxanthum,28.66,97.46 +Rhododendron campylocarpum subsp. campylocarpum,29.9,94.87 +Rhododendron campylocarpum subsp. telopeum,30.05,101.96 +Rhododendron campylogynum,35.86,104.2 +Rhododendron capitatum,31.95,102.65 +Rhododendron catacosmum,29.32,95.33 +Rhododendron cephalanthum,35.86,104.2 +Rhododendron cerasinum,29.32,95.33 +Rhododendron chamaethomsonii var. chamaedoron,0,0 +Rhododendron chamaethomsonii var. chamaethauma,29.33,95.33 +Rhododendron chamaethomsonii var. chamaethomsonii,35.86,104.2 +Rhododendron charitopes subsp. charitopes,35.86,104.2 +Rhododendron charitopes subsp. tsangpoense,29,92 +Rhododendron chrysodoron,35.86,104.2 +Rhododendron ciliatum,29.32,95.33 +Rhododendron cinnabarinum subsp. cinnabarinum,27.48,88.9 +Rhododendron circinnatum,31.712092,88.118532 +Rhododendron citriniflorum var. citriniflorum,35.86,104.2 +Rhododendron citriniflorum var. horaeum,35.86,104.2 +Rhododendron clementinae,26.2,99.4 +Rhododendron codonanthum,27.666667,99.15 +Rhododendron comisteum,27.078428,100.256767 +Rhododendron complexum,27.448246,99.822395 +Rhododendron concinnum,29.496119,103.398589 +Rhododendron coriaceum,0,0 +Rhododendron coryanum,35.86,104.2 +Rhododendron cowanianum,29.6,103.48 +Rhododendron crinigerum,35.86,104.2 +Rhododendron cuneatum,27.82308,99.706013 +Rhododendron cyanocarpum,25.8333,99.9833 +Rhododendron dalhousiae,24.108967,97.987562 +Rhododendron dasycladoides,28.15,100.71 +Rhododendron dasypetalum,29.914155,102.234618 +Rhododendron davidsonianum,29.914155,102.234618 +Rhododendron dawuense,29,101.5 +Rhododendron decorum,35.86,104.2 +Rhododendron dekatanum,30.350228,95.474417 +Rhododendron delavayi var. delavayi,25.1272,102.4819 +Rhododendron delavayi var. peramoenum,35.86,104.2 +Rhododendron dendricola,35.86,104.2 +Rhododendron detonsum,28.48611,98.911543 +Rhododendron dichroanthum var. dichroanthum,35.86,104.2 +Rhododendron dignabile,29.02,93.95 +Rhododendron doshongense,29.5,95 +Rhododendron dumicola,27,99.03333 +Rhododendron eclecteum var. bellatulum,35.86,104.2 +Rhododendron eclecteum var. eclecteum,28.095,98.3239 +Rhododendron edgeworthii,35.86,104.2 +Rhododendron elegantulum,27.2822,100.85195 +Rhododendron erastum,28.66,97.46 +Rhododendron erosum,28.2,90.82 +Rhododendron erythrocalyx,28.48611,98.911543 +Rhododendron esetulosum,26.33,99.67 +Rhododendron euchroum,35.86,104.2 +Rhododendron eudoxum var. brunneifolium,28.17,98.81 +Rhododendron eudoxum var. eudoxum,35.86,104.2 +Rhododendron eudoxum var. mesopolium,35.86,104.2 +Rhododendron eurysiphon,28.666667,98.183333 +Rhododendron exasperatum,35.4736,103.3469 +Rhododendron facetum,25.3,98.58 +Rhododendron falconeri,0,0 +Rhododendron fastigiatum,29.66666,91.35 +Rhododendron faucium,29.85,95.76 +Rhododendron flavantherum,27.078428,100.256767 +Rhododendron flavidum,30.07,101.45 +Rhododendron fletcherianum,0,0 +Rhododendron floccigerum,35.86,104.2 +Rhododendron floribundum,30.06,102.75 +Rhododendron forrestii subsp. forrestii,29.9,94.87 +Rhododendron forrestii subsp. papillatum,29.9,94.87 +Rhododendron fragariiflorum,28.12,91.9 +Rhododendron fulvum,25.496016,103.801478 +Rhododendron galactinum,30.36,102.81 +Rhododendron gemmiferum,26.71,99.61 +Rhododendron genestierianum,35.86,104.2 +Rhododendron glanduliferum,27.833333,104.5 +Rhododendron glischrum,35.86,104.2 +Rhododendron gologense,27.078428,100.256767 +Rhododendron gongshanense,35.86,104.2 +Rhododendron grande,28.66,97.46 +Rhododendron haematodes subsp. chaetomallum,28.18,98.27 +Rhododendron haematodes subsp. haematodes,28.18,98.27 +Rhododendron haofui,27.69375,108.850061 +Rhododendron heliolepis var. heliolepis,35.86,104.2 +Rhododendron heliolepis var. oporinum,0,0 +Rhododendron hemitrichotum,27.928607,101.279419 +Rhododendron hirtipes,29.85,95.76 +Rhododendron hodgsonii,27.93,87.22 +Rhododendron hookeri,30,101.5 +Rhododendron hunnewellianum,32.637983,103.59895 +Rhododendron hylaeum,35.86,104.2 +Rhododendron hypenanthum,28.2,90.82 +Rhododendron igneum,30.350228,95.474417 +Rhododendron impeditum,30.05,101.96 +Rhododendron insculptum,27.13,104.72 +Rhododendron intricatum,30.979541,101.125234 +Rhododendron irroratum,30.05,101.96 +Rhododendron kasoense,29.32,95.33 +Rhododendron keleticum,35.86,104.2 +Rhododendron kendrickii,27.078428,100.256767 +Rhododendron keysii,29.32,95.33 +Rhododendron kongboense,29.885276,93.246074 +Rhododendron kyawi,35.86,104.2 +Rhododendron lacteum,25.584234,100.222124 +Rhododendron lanatoides,29.58,94.97 +Rhododendron lanatum,27.48,88.9 +Rhododendron lanigerum,28.85,85.29 +Rhododendron lateriflorum,35.86,104.2 +Rhododendron laudandum,29.85,95.76 +Rhododendron lepidotum,26.4,99.4 +Rhododendron leptocarpum,35.86,104.2 +Rhododendron leptopeplum,27.078428,100.256767 +Rhododendron leptothrium,35.86,104.2 +Rhododendron leucaspis,27.078428,100.256767 +Rhododendron lindleyi,31.712092,88.118532 +Rhododendron longesquamatum,30.368117,102.81464 +Rhododendron longicalyx,26.433419,110.856621 +Rhododendron ludlowii,31.712092,88.118532 +Rhododendron luhuoense,31.39179,100.676372 +Rhododendron lukiangense,35.86,104.2 +Rhododendron maddenii subsp. crassum,27.8986,98.3539 +Rhododendron maddenii subsp. maddenii,29.32,95.33 +Rhododendron magnificum,28.66,97.46 +Rhododendron mainlingense,30.6,93.5 +Rhododendron mallotum,35.86,104.2 +Rhododendron martinianum,35.86,104.2 +Rhododendron meddianum var. atrokermesinum,35.86,104.2 +Rhododendron meddianum var. meddianum,35.86,104.2 +Rhododendron medoense,29.32,95.33 +Rhododendron megacalyx,35.86,104.2 +Rhododendron megalanthum,29.32,95.33 +Rhododendron megeratum,35.86,104.2 +Rhododendron mekongense var. longipilosum,27.740736,98.66582 +Rhododendron mekongense var. melinanthum,28.48611,98.911543 +Rhododendron mekongense var. rubrolineatum,29.32,95.33 +Rhododendron microgynum,35.86,104.2 +Rhododendron microphyton var. microphyton,35.86,104.2 +Rhododendron mimetes,27.928607,101.279419 +Rhododendron miniatum,30.350228,95.474417 +Rhododendron mollicomum,27.45,100.18 +Rhododendron monanthum,35.86,104.2 +Rhododendron montiganum,27.078428,100.256767 +Rhododendron montroseanum,35.86,104.2 +Rhododendron moulmainense,35.86,104.2 +Rhododendron mucronatum,25.255089,110.050532 +Rhododendron nakotiltum,28.03,98.83 +Rhododendron neriiflorum var. appropinquans,26.333333,99.666667 +Rhododendron neriiflorum var. neriiflorum,35.86,104.2 +Rhododendron nigroglandulosum,30.99,102.36 +Rhododendron nitidulum var. nitidulum,29.496119,103.398589 +Rhododendron nitidulum var. omeiense,29.496119,103.398589 +Rhododendron nivale subsp. boreale,29.037008,100.298406 +Rhododendron nivale subsp. nivale,29.58,95 +Rhododendron nuttallii,27.80138,98.56861 +Rhododendron nyingchiense,29.63,94.36 +Rhododendron orbiculare,30.368117,102.81464 +Rhododendron oreodoxa,30.98,102.87 +Rhododendron oreotrephes,35.86,104.2 +Rhododendron orthocladum var. orthocladum,28.2,100.833333 +Rhododendron pachypodum,35.86,104.2 +Rhododendron pachytrichum,30.066708,102.758313 +Rhododendron papillatum,29.9,94.87 +Rhododendron parmulatum,29.32,95.33 +Rhododendron pemakoense,29.32,95.33 +Rhododendron pendulum,27.48,88.9 +Rhododendron phaeochrysum var. agglutinatum,30.368117,102.81464 +Rhododendron phaeochrysum var. levistratum,30.1469,101.86 +Rhododendron phaeochrysum var. phaeochrysum,30.368117,102.81464 +Rhododendron piercei,29.32,95.33 +Rhododendron pocophorum var. hemidartum,35.86,104.2 +Rhododendron pocophorum var. pocophorum,35.86,104.2 +Rhododendron polycladum,31.13,97.18 +Rhododendron polylepis,30.996299,103.612264 +Rhododendron pomense,29.6806,95.7021 +Rhododendron populare,31.712092,88.118532 +Rhododendron potaninii,27.010278,100.181111 +Rhododendron praestans,35.86,104.2 +Rhododendron preptum,35.86,104.2 +Rhododendron primuliflorum var. cephalanthoides,29.893695,91.264908 +Rhododendron primuliflorum var. lepidanthum,29.893695,91.264908 +Rhododendron primuliflorum var. primuliflorum,35.86,104.2 +Rhododendron principis,29.05,93.93 +Rhododendron pronum,26.4,99.4 +Rhododendron proteoides,27.928607,101.279419 +Rhododendron protistum var. giganteum,35.86,104.2 +Rhododendron protistum var. protistum,35.86,104.2 +Rhododendron pruniflorum,29.32,95.33 +Rhododendron przewalskii,34.589587,103.507111 +Rhododendron pubescens,27.36,100.3 +Rhododendron pudorosum,27.177166,99.28717 +Rhododendron pumilum,29.9,94.87 +Rhododendron racemosum,26.56023,100.176429 +Rhododendron radendum,30.05,101.38 +Rhododendron ramipilosum,29.32,95.33 +Rhododendron ramsdenianum,29.899222,95.399028 +Rhododendron rex subsp. fictolacteum,27.376188,102.539939 +Rhododendron rex subsp. rex,27.376188,102.539939 +Rhododendron rhombifolium,35.86,104.2 +Rhododendron riparioides,27.177166,99.28717 +Rhododendron rothschildii,27.5,99.35 +Rhododendron roxieanum var. cucullatum,35.86,104.2 +Rhododendron roxieanum var. roxieanum,35.86,104.2 +Rhododendron rubiginosum var. ptilostylum,26.876096,100.229945 +Rhododendron rubiginosum var. rubiginosum,35.86,104.2 +Rhododendron rufescens,30.93,102.95 +Rhododendron rufum,34.589587,103.507111 +Rhododendron rupicola var. chryseum,35.86,104.2 +Rhododendron rupicola var. rupicola,27.62454,99.644089 +Rhododendron russatum,25.275367,103.003972 +Rhododendron saluenense var. prostratum,35.86,104.2 +Rhododendron saluenense var. saluenense,35.86,104.2 +Rhododendron sanguineum var. cloiophorum,35.86,104.2 +Rhododendron sanguineum var. didymoides,35.86,104.2 +Rhododendron sanguineum var. didymum,27.6261,98.5875 +Rhododendron sanguineum var. haemaleum,35.86,104.2 +Rhododendron sanguineum var. himertum,26.583778,101.718915 +Rhododendron sanguineum var. sanguineum,35.86,104.2 +Rhododendron scopulorum,29.32,95.33 +Rhododendron seinghkuense,35.86,104.2 +Rhododendron selense subsp. dasycladum,26.3,99.4 +Rhododendron selense subsp. jucundum,28.48611,98.911543 +Rhododendron selense subsp. selense,35.86,104.2 +Rhododendron semnoides,29.32,95.33 +Rhododendron setiferum,28.48611,98.911543 +Rhododendron setosum,28.2,85.98 +Rhododendron sherriffii,30.350228,95.474417 +Rhododendron shweliense,25.5,98.966667 +Rhododendron sidereum,35.86,104.2 +Rhododendron siderophyllum,29.22787,102.359458 +Rhododendron sikangense,29.91,102.23 +Rhododendron sinogrande,35.86,104.2 +Rhododendron sinosimulans,28.2,100.833333 +Rhododendron souliei,30.055305,101.96483 +Rhododendron sperabile var. sperabile,27.12,99.02 +Rhododendron sperabile var. weihsiense,27.12,99.02 +Rhododendron sperabiloides,35.86,104.2 +Rhododendron sphaeroblastum,27.928607,101.279419 +Rhododendron spinuliferum,35.86,104.2 +Rhododendron stenaulum,35.86,104.2 +Rhododendron stewartianum,35.86,104.2 +Rhododendron strigillosum var. monosematum,27.376188,102.539939 +Rhododendron strigillosum var. strigillosum,27.376188,102.539939 +Rhododendron sulfureum,35.86,104.2 +Rhododendron taggianum,35.86,104.2 +Rhododendron taliense,25.7667,100.017 +Rhododendron tanastylum var. lingzhiense,35.86,104.2 +Rhododendron tanastylum var. tanastylum,35.86,104.2 +Rhododendron tapetiforme,30.05,96.91 +Rhododendron tatsienense var. nudatum,26.876096,100.229945 +Rhododendron tatsienense var. tatsienense,30.025,101.3875 +Rhododendron telmateium,0,0 +Rhododendron temenium var. dealbatum,35.86,104.2 +Rhododendron temenium var. gilvum,35.86,104.2 +Rhododendron temenium var. temenium,35.86,104.2 +Rhododendron tenuifolium,24.976725,101.487417 +Rhododendron tephropeplum,35.86,104.2 +Rhododendron thomsonii subsp. lopsangianum,28.66,97.46 +Rhododendron thomsonii subsp. thomsonii,28.66,97.46 +Rhododendron thymifolium,36.92,101.32 +Rhododendron traillianum var. dictyotum,26.876096,100.229945 +Rhododendron traillianum var. traillianum,27.383056,100.136111 +Rhododendron trichanthum,30.368117,102.81464 +Rhododendron trichocladum,0,0 +Rhododendron trichostomum var. ledoides,27.2822,100.85195 +Rhododendron trichostomum var. radinum,27.82308,99.706013 +Rhododendron trichostomum var. trichostomum,27.82308,99.706013 +Rhododendron triflorum,29.9,94.87 +Rhododendron trilectorum,29.32,95.33 +Rhododendron tsariense,30.350228,95.474417 +Rhododendron tubiforme,27.078428,100.256767 +Rhododendron uniflorum,29.32,95.33 +Rhododendron uvariifolium,29.92,94.88 +Rhododendron vaccinioides,35.86,104.2 +Rhododendron vellereum,31.13,97.18 +Rhododendron venator,29.138831,94.211324 +Rhododendron vernicosum,29.98,101.92 +Rhododendron vesiculiferum,35.86,104.2 +Rhododendron virgatum,35.86,104.2 +Rhododendron viridescens,29.32,95.33 +Rhododendron viscidifolium,31.712092,88.118532 +Rhododendron wallichii,28.3,90.85 +Rhododendron wardii var. puralbum,27.928607,101.279419 +Rhododendron wardii var. wardii,28.833333,93.616667 +Rhododendron wasonii,30.055305,101.96483 +Rhododendron watsonii,29.914155,102.234618 +Rhododendron wightii,27.98,87.15 +Rhododendron wiltonii,42.333056,128.020278 +Rhododendron xanthocodon,31.712092,88.118532 +Rhododendron xanthostephanum,35.86,104.2 +Rhododendron yungchangense,25.2,99.3 +Rhododendron yunnanense,35.86,104.2 +Rhododendron zaleucum var. pubifolium,35.86,104.2 +Rhododendron zaleucum var. zaleucum,35.86,104.2 +Rhododendron zheguense,31.17,96.63 +Vaccinium arbutoide,36.519977,103.891767 +Vaccinium brachybotrys,25.275367,103.003972 +Vaccinium chaetothrix,35.86,104.2 +Vaccinium delavayi,35.86,104.2 +Vaccinium dendrocharis,35.86,104.2 +Vaccinium duclouxii var. duclouxii,25.0036,98.5833 +Vaccinium duclouxii var. pubipes,35.86,104.2 +Vaccinium dunalianum var. dunalianum,35.86,104.2 +Vaccinium dunalianum var. urophyllum,35.86,104.2 +Vaccinium fragile var. fragile,36.519977,103.891767 +Vaccinium fragile var. mekongense,36.519977,103.891767 +Vaccinium gaultheriifolium,35.86,104.2 +Vaccinium glaucoalbum,29.32,95.33 +Vaccinium iteophyllum var. glandulosum,30.033333,109.683333 +Vaccinium iteophyllum var. iteophyllum,35.86,104.2 +Vaccinium kingdon-wardii,29.32,95.33 +Vaccinium lanigerum,35.86,104.2 +Vaccinium leucobotrys,35.86,104.2 +Vaccinium mandarinorum,24.32306,109.49222 +Vaccinium modestum,35.86,104.2 +Vaccinium nummularia,27.48,88.9 +Vaccinium pubicalyx,36.519977,103.891767 +Vaccinium retusum,29.33,95.33 +Vaccinium scalarinervium,36.519977,103.891767 +Vaccinium sikkimense,27.7722,98.4464 +Vaccinium spiculatum,18.249731,109.507052 +Vaccinium stenanthum,36.519977,103.891767 +Vaccinium subdissitifolium,29.32,95.33 +Vaccinium tenuiflorum,18.745108,109.17663 +Iodes cirrhosa,21.475834,101.56752 +Mappianthus iodoides,24.65,115.93 +Natsiatopsis thunbergiifolia,29.32,95.33 +Eucommia ulmoides,34.283387,117.016543 +Aucuba himalaica,29.1,107 +Aidia cochinchinensis,23.59,111.7 +Asperula oppositifolia,31.47,79.8 +Brachytome hirtellata var. glabrescens,35.86,104.2 +Brachytome wallichii,35.86,104.2 +Canthium hainanense,18.252625,109.511923 +Chassalia curviflora,21.919623,101.27736 +Damnacanthus indicus,27.80138,98.56861 +Galium acutum,29.82794,118.336723 +Galium aparine,33.75,97.05 +Galium asperifolium var. asperifolium,35.86,104.2 +Galium asperifolium var. lasiocarpum,26.901731,98.869207 +Galium asperifolium var. sikkimense,25.2161,98.4961 +Galium asperifolium var. verrucifructum,29.000343,101.507299 +Galium baldensiforme,34.403056,100.392778 +Galium boreale var. boreale,43.79,87.63 +Galium boreale var. ciliatum,0,0 +Galium bungei,36.519977,103.891767 +Galium dahuricum,44.46,130.17 +Galium echinocarpum,24.48333,109.73333 +Galium elegans,28.54,102.17 +Galium exile,30.93,88.7 +Galium forrestii,27.707333,99.994667 +Galium glandulosum,28.93,99.79 +Galium hoffmeisteri,28.39,98.78916 +Galium innocuum,26.090278,103.234444 +Galium kamtschaticum,42.78,128.51 +Galium karataviense,32.44,104.55 +Galium odoratum,27.177166,99.28717 +Galium paradoxum,30.979541,101.125234 +Galium pusillosetosum,31.80612,98.580912 +Galium salwinense,35.86,104.2 +Galium spurium,25,111 +Galium tricornutum,33.15,106.67 +Galium triflorum,33.22,107.54 +Galium verum var. tomentosum,46.67,90.38 +Galium verum var. trachycarpum,30.14136,101.865706 +Galium verum var. trachyphyllum,30.055305,101.96483 +Galium verum var. verum,46.55,122.93 +Hedyotis auricularia,35.86,104.2 +Hedyotis capitellata,35.86,104.2 +Hedyotis chrysotricha,29.86,121.54 +Hedyotis corymbosa,35.86,104.2 +Hedyotis herbacea,35.86,104.2 +Hedyotis scandens,35.86,104.2 +Hedyotis vestita,18.252625,109.511923 +Himalrandia lichiangensis,30.05,101.96 +Hymenodictyon flaccidum,28.54,102.17 +Hymenodictyon orixense,22.010889,100.79926 +Ixora henryi,35.86,104.2 +Ixora subsessilis,23.12,113.34 +Kelloggia chinensis,27.928607,101.279419 +Knoxia sumatrensis,23.9,106.61 +Lasianthus attenuatus,18.252625,109.511923 +Lasianthus biermanni,22.983563,103.687613 +Lasianthus japonicus subsp. longicaudus,24.046484,105.055261 +Lasianthus lucidus,0,0 +Lasianthus micranthus,35.86,104.2 +Lasianthus sikkimensis,35.86,104.2 +Leptodermis glomerata,23.38,104.82 +Leptodermis pilosa var. acanthoclada,28.51,99.25 +Leptodermis pilosa var. glabrescens,31.83,101.67 +Leptodermis pilosa var. pilosa,27.900318,99.63797 +Leptodermis potaninii var. glauca,24.7167,103.417 +Leptodermis potaninii var. potaninii,25.7167,100.033 +Leptodermis purdomii,30.0572,102.16 +Leptodermis rehderiana,25.584234,100.222124 +Leptodermis scabrida,0,0 +Leptodermis schneideri,30.055305,101.96483 +Leptodermis tomentella,25.1333,101.35 +Leptodermis virgata,24.846283,110.451522 +Luculia gratissima,35.86,104.2 +Luculia pinceana var. pinceana,24.811863,100.417236 +Luculia pinceana var. pubescens,22.697654,100.860736 +Luculia yunnanensis,35.86,104.2 +Morinda parvifolia,23.98,117.33 +Mussaenda decipiens,29.32,95.33 +Mussaenda erosa,22.008916,100.825516 +Mussaenda lenticellata,35.86,104.2 +Mussaenda macrophylla,35.86,104.2 +Mussaenda pubescens,36.519977,103.891767 +Mussaenda taronensis,35.86,104.2 +Mussaenda treutleri,25.39,98.86 +Mycetia hirta,21.934011,101.260734 +Mycetia longiflora,35.86,104.2 +Mycetia longifolia,29.32,95.33 +Mycetia macrostachya,35.86,104.2 +Myrioneuron nutans,29.32,95.33 +Neanotis ingrata,26.43,110.85 +Neanotis wightiana,26.490051,98.824257 +Neohymenopogon parasiticus,22.010889,100.79926 +Neonauclea griffithii,29.32,95.33 +Nertera sinensis,26.43,110.85 +Nostolachma jenkinsii,29.32,95.33 +Ophiorrhiza calcarata,26.6,111.2 +Ophiorrhiza carinata,26.6,111.2 +Ophiorrhiza dulongensis,35.86,104.2 +Ophiorrhiza fasciculata,29.32,95.33 +Ophiorrhiza laevifolia,24.900811,103.721583 +Ophiorrhiza lurida,29.32,95.33 +Ophiorrhiza medogensis,29.32,95.33 +Ophiorrhiza mungos,35.86,104.2 +Ophiorrhiza nutans,35.86,104.2 +Ophiorrhiza rosea,35.86,104.2 +Ophiorrhiza rugosa,35.86,104.2 +Ophiorrhiza succirubra,27.965,98.6525 +Ophiorrhiza umbricola,29.32,95.33 +Ophiorrhiza wallichii,35.86,104.2 +Paederia foetida,36.519977,103.891767 +Paederia yunnanensis,35.86,104.2 +Psychotria calocarpa,21.918755,101.273468 +Psychotria shuanghuaensis,23.93,115.77 +Psychotria yunnanensis,25.2975,98.7953 +Rubia chinensis,43.76,128.456 +Rubia cordifolia,32.309722,96.46 +Rubia haematantha,29.39,110.16 +Rubia lichiangensis,28.58,98.93 +Rubia mandersii,24.615701,100.709787 +Rubia membranacea,34.683333,100.683333 +Rubia oncotricha,25.6311,98.6736 +Rubia pallida,26.876096,100.229945 +Rubia podantha,28.02,98.6175 +Rubia pterygocaulis,33.27,104.23 +Rubia sikkimensis,35.86,104.2 +Rubia tibetica,31.47,79.8 +Rubia wallichiana,29.85,95.76 +Rubia yunnanensis,25.2975,98.7953 +Saprosma ternata,21.68,101.42 +Sinoadina racemosa,33.13,111.49 +Spermacoce pusilla,18.75,109.17 +Spermadictyon suaveolens,31.82,108.62 +Spiradiclis cylindrica,29.32,95.33 +Tarennoidea wallichii,27.6903,98.2806 +Theligonum macranthum,33.31,108.31 +Trailliaedoxa gracilis,27.32,100.24 +Uncaria lancifolia,35.86,104.2 +Uncaria scandens,29.32,95.33 +Uncaria sinensis,28.27,105.1 +Wendlandia ligustrina,35.86,104.2 +Wendlandia scabra,35.86,104.2 +Wendlandia speciosa,35.86,104.2 +Wendlandia subalpina,27.82308,99.706013 +Wendlandia tinctoria subsp. callitricha,35.86,104.2 +Wendlandia tinctoria subsp. tinctoria,35.86,104.2 +Centaurium pulchellum var. altaicum,33.63,119.03 +Centaurium pulchellum var. pulchellum,33.63,119.03 +Centaurium spicatum,41.33,86.26 +Comastoma cyananthiflorum,30.910683,102.889683 +Comastoma falcatum,36.786007,100.974383 +Comastoma jiuzhiense,35.86,104.2 +Comastoma pedunculatum,35.86,104.2 +Comastoma polycladum,35.84,104.11 +Comastoma pulmonarium,36.786662,100.973298 +Comastoma stellariifolium,35.86,104.2 +Comastoma tenellum,29.914155,102.234618 +Comastoma traillianum,27.928607,101.279419 +Cotylanthera paucisquama,35.86,104.2 +Crawfurdia angustata,35.86,104.2 +Crawfurdia bomareoides,26.75,98.8 +Crawfurdia campanulacea,35.86,104.2 +Crawfurdia crawfurdioides var. crawfurdioides,35.86,104.2 +Crawfurdia crawfurdioides var. iochroa,35.86,104.2 +Crawfurdia delavayi,35.86,104.2 +Crawfurdia forrestii,35.86,104.2 +Crawfurdia gracilipes,0,0 +Crawfurdia lobatilimba,35.86,104.2 +Crawfurdia nyingchiensis,35.86,104.2 +Crawfurdia puberula,28,91.95 +Crawfurdia speciosa,36.519977,103.891767 +Fagraea ceilanica,18.25,109.5 +Gentiana abaensis,46.52,89.47 +Gentiana albicalyx,29.22,90.62 +Gentiana albomarginata,26.876096,100.229945 +Gentiana alsinoides,27.7942,98.5867 +Gentiana altigena,29.85,95.76 +Gentiana altorum,28.901883,100.262517 +Gentiana amplicrater,28.97,90.42 +Gentiana anisostemon,24.976725,101.487417 +Gentiana aperta var. aperta,37.613403,101.310791 +Gentiana aperta var. aureopunctata,37.613403,101.310791 +Gentiana arethusae var. arethusae,31.370137,109.629918 +Gentiana arethusae var. delicatula,27.82308,99.706013 +Gentiana aristata,34.725278,100.719444 +Gentiana asparagoides,35.86,104.2 +Gentiana asterocalyx,26.876096,100.229945 +Gentiana atropurpurea,28.48611,98.911543 +Gentiana atuntsiensis,30.0403,101.838 +Gentiana bella,35.86,104.2 +Gentiana bomiensis,29.85,95.76 +Gentiana bryoides,27.48,88.9 +Gentiana burkillii,34.3108,99.1814 +Gentiana burmensis,0,0 +Gentiana caelestis,29,101.5 +Gentiana capitata,28.17,85.98 +Gentiana caryophyllea,35.86,104.2 +Gentiana cephalantha,27.791199,99.610222 +Gentiana chinensis,29.49,103.39 +Gentiana choanantha,36.519977,103.891767 +Gentiana chungtienensis,26.993605,100.194519 +Gentiana clarkei,34.3108,99.1814 +Gentiana clausilis,27.8333,99.6667 +Gentiana conduplicata,28.93,99.79 +Gentiana coronata,27.8333,99.6667 +Gentiana crassicaulis,35.86,104.2 +Gentiana crassula,30.47,91.09 +Gentiana crassuloides,32.7967,97.2775 +Gentiana crenulatotruncata,32.3169,96.6267 +Gentiana cristata,26.876096,100.229945 +Gentiana cuneibarba,35.86,104.2 +Gentiana damyonensis,35.86,104.2 +Gentiana daochengensis,29.160369,103.148639 +Gentiana decorata,27.747194,98.90175 +Gentiana decumbens,46.52,89.47 +Gentiana delavayi,30.029683,101.94815 +Gentiana deltoidea,27.928607,101.279419 +Gentiana depressa,28.17,85.98 +Gentiana dolichocalyx,32.27,96.22 +Gentiana doxiongshangensis,29.85,95.76 +Gentiana ecaudata,35.86,104.2 +Gentiana elwesii,27.8,98.5011 +Gentiana emodii,27.92,92 +Gentiana epichysantha,29.22,102.35 +Gentiana erectosepala,28.66,97.46 +Gentiana exigua,30.05,101.96 +Gentiana exquisita,35.86,104.2 +Gentiana faucipilosa,35.86,104.2 +Gentiana filistyla,35.86,104.2 +Gentiana flexicaulis,36.519977,103.891767 +Gentiana formosa,35.86,104.2 +Gentiana futtereri,32.27,96.22 +Gentiana georgei,35.86,104.2 +Gentiana gilvostriata,27.177166,99.28717 +Gentiana globosa,31.13,97.18 +Gentiana grata,35.86,104.2 +Gentiana grumii,36.89,100.99 +Gentiana gyirongensis,28.65,87.12 +Gentiana handeliana,35.86,104.2 +Gentiana harrowiana,29.32,95.33 +Gentiana haynaldi,27.8333,99.6667 +Gentiana heleonastes,34.3575,100.255556 +Gentiana helophila,26.876096,100.229945 +Gentiana hexaphylla,31.706117,102.309333 +Gentiana himalayaensis,29.89,91.26 +Gentiana infelix,29.85,95.76 +Gentiana intricata,27.82308,99.706013 +Gentiana kaufmanniana,43.15,81.12 +Gentiana lacerulata,31.712092,88.118532 +Gentiana lacinulata,29.85,95.76 +Gentiana latimarginalis,29.563057,106.551666 +Gentiana lawrencei var. farreri,32.3186,97.2053 +Gentiana lawrencei var. lawrencei,32.3186,97.2053 +Gentiana leptoclada,36.519977,103.891767 +Gentiana leucomelaena,32.77,96.67 +Gentiana lhassica,29.88,93.24 +Gentiana lineolata,27.027467,100.2302 +Gentiana linoides,27.03332,100.17733 +Gentiana ludingensis,29.91,102.23 +Gentiana macrauchena,31.33,110.78 +Gentiana maeulchanensis,27.37,102.53 +Gentiana mailingensis,27.8333,99.6667 +Gentiana micans,27.48,88.9 +Gentiana micantiformis,27.48,88.9 +Gentiana microdonta,24.976725,101.487417 +Gentiana muscicola,29.85,95.76 +Gentiana namlaensis,31.712092,88.118532 +Gentiana nanobella,36.519977,103.891767 +Gentiana napulifera,27.37,102.53 +Gentiana ninglangensis,27.2822,100.85195 +Gentiana nubigena,34.998433,100.847383 +Gentiana nyalamensis var. nyalamensis,0,0 +Gentiana nyalamensis var. parviflora,28.65,87.12 +Gentiana nyingchiensis,29.63,94.36 +Gentiana obconica,29.58,95 +Gentiana officinalis,34.714722,100.711944 +Gentiana olivieri,43.15,81.13 +Gentiana oreodoxa,35.86,104.2 +Gentiana ornata,27.48,88.9 +Gentiana otophora,35.86,104.2 +Gentiana otophoroides,35.86,104.2 +Gentiana panthaica,25.7,100.117 +Gentiana papillosa,25.012526,102.700013 +Gentiana parvula,0,0 +Gentiana pedicellata,32.201763,96.897354 +Gentiana phyllocalyx,35.86,104.2 +Gentiana picta,25.275367,103.003972 +Gentiana pluviarum subsp. subtilis,27.7842,98.4597 +Gentiana praeclara,27.92,101.27 +Gentiana prainii,25.6,100.033 +Gentiana prattii,33.3769,100.29 +Gentiana primuliflora,25.012526,102.700013 +Gentiana producta,34.48,100.23 +Gentiana prolata,29.32,95.33 +Gentiana prostrata var. karelinii,31.712092,88.118532 +Gentiana prostrata var. ludlowii,35.0228,98.8606 +Gentiana prostrata var. prostrata,31.712092,88.118532 +Gentiana prxewalskia,27.8333,99.6667 +Gentiana pseudoaquatica,33.57587,102.961829 +Gentiana pseudosquarrosa,36.519977,103.891767 +Gentiana pterocalyx,26.908457,102.930168 +Gentiana pubiflora,26.876096,100.229945 +Gentiana pubigera,26.876096,100.229945 +Gentiana pudica,36.519977,103.891767 +Gentiana purdomi,27.8333,99.6667 +Gentiana qiujiangensis,0,0 +Gentiana rhodantha,24.976725,101.487417 +Gentiana rigescens,25.2161,98.4961 +Gentiana riparia,43.92,81.33 +Gentiana robusta,29.7,92.08 +Gentiana scabrifilamenta,29.85,95.76 +Gentiana serra,27.034617,100.240367 +Gentiana setulifolia,28.166667,97.333333 +Gentiana sichitoensis,35.86,104.2 +Gentiana sikkimensis,35.86,104.2 +Gentiana simulatrix,28.85,85.29 +Gentiana siphonantha,34.84705,98.130817 +Gentiana souliei,27.031167,100.179517 +Gentiana spathulifolia,32.635633,103.613133 +Gentiana squarrosa,32.991111,97.348056 +Gentiana stellata,27.82308,99.706013 +Gentiana stipitata subsp. stipitata,31.62,99.99 +Gentiana stipitata subsp. tizuensis,31.62,99.99 +Gentiana stragulata,34.15,107.84 +Gentiana straminea,31.49,98.21 +Gentiana striata,33.26,104.23 +Gentiana striolata,29.037008,100.298406 +Gentiana subintricata,27.82308,99.706013 +Gentiana suborbisepala,30.99,102.36 +Gentiana syringea,37.36,97.36 +Gentiana szechenyii,30.055305,101.96483 +Gentiana taliensis,35.86,104.2 +Gentiana tatsienensis,31.712092,88.118532 +Gentiana ternifolia,26.908457,102.930168 +Gentiana tetrasticha,29.65,91.12 +Gentiana tianschanica,43.83,81.17 +Gentiana tibetica,27.82308,99.706013 +Gentiana tongolensis,28.89833,100.28139 +Gentiana trichotoma var. chingii,36.4,99.95 +Gentiana trichotoma var. trichotoma,31.712092,88.118532 +Gentiana tricolor,34.635556,100.243611 +Gentiana tubiflora,28,91.95 +Gentiana urnula,30.93,88.7 +Gentiana veitchiorum,35.86,104.2 +Gentiana vernayi,29.040461,90.920892 +Gentiana waltonii,29.65,91.05 +Gentiana wardii var. emergens,29.85,95.76 +Gentiana wardii var. micrantha,27.740736,98.66582 +Gentiana wardii var. wardii,28.535833,99 +Gentiana wasenensis,29.91,102.23 +Gentiana wilsonii,28.450683,100.307433 +Gentiana yunnanensis,27.397633,100.08595 +Gentiana zekuensis,32.796667,97.2775 +Gentianella acuta,40.53,112.5 +Gentianella angustiflora,28.17,85.98 +Gentianella arenaria,29.77,84.03 +Gentianella azurea,34.78,92.88 +Gentianella gentianoides,30,99.1 +Gentianella moorcroftiana,30.13,81.33 +Gentianella nyalamensis,28.65,87.12 +Gentianella pygmaea,32.95,94.37 +Gentianella turkestanorum,43.49,81.3 +Gentianopsis barbata var. alboflavida,34.707778,100.244167 +Gentianopsis barbata var. barbata,34.707778,100.244167 +Gentianopsis barbata var. stenocalyx,34.707778,100.244167 +Gentianopsis contorta,28.48611,98.911543 +Gentianopsis grandis,27.82308,99.706013 +Gentianopsis paludosa var. alpina.,33.2975,100.431944 +Gentianopsis paludosa var. ovatodeltoidea,31.37,109.62 +Gentianopsis paludosa var. paludosa,33.2975,100.431944 +Gentianopsis scaromarginata,32.918333,97.3275 +Gentianopsis vedenskyi,32.918333,97.3275 +Halenia elliptica var. elliptica,32.9222,97.2917 +Jaeschkea microsperma,27.48,88.9 +Lomatogoniopsis alpina,32.77,96.67 +Lomatogoniopsis galeiformis,28,91.95 +Lomatogoniopsis ovatifolia,28,91.95 +Lomatogonium brachyantherum,32.3,84.06 +Lomatogonium carinthiacum,32.8831,96.685 +Lomatogonium chumbicum,28.85,90.45 +Lomatogonium forrestii var. bonatianum,29.914155,102.234618 +Lomatogonium forrestii var. forrestii,29.914155,102.234618 +Lomatogonium galeiformis,35.86,104.2 +Lomatogonium gamosepalum,32.1431,97.2706 +Lomatogonium longifolium,35.86,104.2 +Lomatogonium macranthum,31.8331,96.4883 +Lomatogonium oreocharis,28.48611,98.911543 +Lomatogonium perenne,28.628445,98.633361 +Lomatogonium rotatum var. floribundum,27.928607,101.279419 +Lomatogonium rotatum var. rotatum,27.928607,101.279419 +Lomatogonium sikkimense,27.48,88.9 +Lomatogonium stapfii,0,0 +Megacodon stylophorus,28.5733,99.8117 +Pterygocalyx volubilis,43.7,127.139 +Swertia asarifolia,35.86,104.2 +Swertia bifolia var. bifolia,36.519977,103.891767 +Swertia bifolia var. wardii,36.519977,103.891767 +Swertia bimaculata,31.5,110.5 +Swertia calycina,26.876096,100.229945 +Swertia ciliata,28.85,85.29 +Swertia cincta,23.880344,100.092756 +Swertia conaensis,28,91.95 +Swertia connata,37.07,115.67 +Swertia cordata,35.86,104.2 +Swertia cuneata,28.55,85.3 +Swertia decora,27.422643,101.509187 +Swertia delavayi,27.82308,99.706013 +Swertia dichotoma,40.558922,115.889709 +Swertia diluta,41.719,125.926 +Swertia elata,30.05,101.96 +Swertia endotricha,28.93,99.8 +Swertia erythrosticta var. epunctata,32.749083,103.807967 +Swertia erythrosticta var. erythrosticta,32.749083,103.807967 +Swertia forrestii,27.795,99.59361 +Swertia franchetiana,34.683333,100.683333 +Swertia graciliflora,42.32,86.38 +Swertia gyacaensis,29.14,92.59 +Swertia handeliana,35.86,104.2 +Swertia hispidicalyx var. hispidicalyx,29.040514,90.920913 +Swertia hispidicalyx var. minima,29.040514,90.920913 +Swertia hispidicalyx var. subglabra,29.040514,90.920913 +Swertia hookeri,32.752778,97.214722 +Swertia kingii,28.17,85.98 +Swertia macrosperma,25.60168,110.585686 +Swertia marginata,42.26,86.86 +Swertia membranifolia,0,0 +Swertia multicaulis var. multicaulis,0,0 +Swertia multicaulis var. umbellifera,0,0 +Swertia mussoti,0,0 +Swertia paniculata,0,0 +Swertia patula,0,0 +Swertia petiolata,0,0 +Swertia pianmaensis,35.86,104.2 +Swertia przewalskii,31.13,97.18 +Swertia pubescens,26.876096,100.229945 +Swertia punicea,35.86,104.2 +Swertia racemosa,36.519977,103.891767 +Swertia rotundiglandula,25.13,113.35 +Swertia scapiformis,30.055305,101.96483 +Swertia souliei,36.52,103.89167 +Swertia splendens,31.712092,88.118532 +Swertia tenuis,35.86,104.2 +Swertia tetraptera,32.752778,97.214722 +Swertia tibetica,30.910683,102.889683 +Swertia verticillifolia,28,91.95 +Swertia virescens,29.32,95.33 +Swertia wardii var. rigida,27.48,88.9 +Swertia wardii var. wardii,30.13,81.33 +Swertia wolfgangiana,33.1769,97.3794 +Swertia younghusbandii,29.65,91.12 +Swertia yunnnanensis,32.752778,97.214722 +Swertia zayueensis,32.752778,97.214722 +Tripterospermum volubile,27.960267,98.732783 +Veratrilla baillonii,29,101.5 +Veratrilla burkilliana,35.86,104.2 +Gardneria angustifolia,31.712092,88.118532 +Gardneria ovata,22.010889,100.79926 +Aganosma breviloba,25.13,105.39 +Aganosma schlechteriana,26,108.45 +Alstonia yunnanensis,24.392902,106.633387 +Alyxia fascicularis,24.983333,112.833333 +Alyxia siamensis,27.7386,98.3489 +Apocynum pictum,37.7,77.4 +Apocynum venetum,36.29,115.22 +Asclepias curassavica,22.69,112.22 +Belostemma hirsutum,35.86,104.2 +Biondia hemsleyana,28.7672,99.87 +Biondia insignis,31.11,109.87 +Biondia longipes,27.93,101.28 +Biondia pilosa,23.625319,105.630906 +Biondia yunnanensis,32.943816,104.683378 +Calotropis gigantea,26.58,101.71 +Carissa spinarum,24.408496,103.443167 +Ceropegia aridicola,27.82308,99.706013 +Ceropegia dolichophylla,27.93,108.25 +Ceropegia mairei,25.012526,102.700013 +Ceropegia monticola,25.150199,102.079017 +Ceropegia muliensis,27.82308,99.706013 +Ceropegia pubescens,35.86,104.2 +Ceropegia stenophylla,30.055305,101.96483 +Chonemorpha griffithii,29.32,95.33 +Cryptolepis buchananii,25.08,104.89 +Cynanchum acutum subsp. acutum,41.88,123.917 +Cynanchum acutum subsp. sibiricum,41.88,123.917 +Cynanchum anthonyanum,28.6311,99.2858 +Cynanchum auriculatum,40.108763,113.168588 +Cynanchum batangense,30,99.1 +Cynanchum bungei,33.31,108.31 +Cynanchum callialatum,26.92,102.92 +Cynanchum canescens,27.45097,99.822334 +Cynanchum chinense,40.757889,114.980182 +Cynanchum decipiens,30.91,102.54 +Cynanchum forrestii var. forrestii,0,0 +Cynanchum forrestii var. stenolobum,27.078064,100.256859 +Cynanchum heydei,0,0 +Cynanchum inamoenum,28.9281,102.21 +Cynanchum kashgaricum,41.27,80.23 +Cynanchum linearisepalum,27.92,101.27 +Cynanchum lysimachioides,27.92,101.27 +Cynanchum mongolicum,28.3683,99.2422 +Cynanchum officinale,25.742153,110.040007 +Cynanchum otophyllum,35.86,104.2 +Cynanchum paniculatum,48.23,126.48 +Cynanchum steppicolum,28.7672,99.87 +Cynanchum szechuanense var. albescens,27.928607,101.279419 +Cynanchum szechuanense var. szechuanense,27.928607,101.279419 +Cynanchum thesioides,34.6833,100.683 +Cynanchum vincetoxicum,35.86,104.2 +Cynanchum wallichii,35.86,104.2 +Cynanchum wilfordii,25.897942,111.009947 +Dregea sinensis var. corrugata,31.11,109.87 +Dregea sinensis var. sinensis,30.004589,99.107741 +Dregea yunnanensis var. major,25.869611,102.593465 +Dregea yunnanensis var. yunnanensis,28.795,99.8372 +Gongronema napalense,27.190833,98.883056 +Hoya fusca,29.32,95.33 +Hoya lii,21.8982,101.2837 +Hoya linearis,35.86,104.2 +Hoya lyi,35.86,104.2 +Hoya pandurata,35.86,104.2 +Hoya polyneura,35.86,104.2 +Hoya salweenica,35.86,104.2 +Hoya siamica,35.86,104.2 +Hoya silvatica,29.32,95.33 +Hoya thomsonii,29.32,95.33 +Marsdenia koi,35.86,104.2 +Marsdenia medogensis,29.326875,95.328655 +Marsdenia oreophila,29.32,95.33 +Marsdenia sinensis,30.27,120.17 +Marsdenia stenantha,25.371037,102.579699 +Marsdenia tinctoria,35.86,104.2 +Periploca calophylla var. calophylla,29.32,95.33 +Periploca calophylla var. mucronata,29.32,95.33 +Periploca floribunda,36.519977,103.891767 +Periploca forrestii,25.0036,98.7247 +Secamone likiangensis,27.92,101.27 +Secamone minutiflora,28.230591,103.636769 +Toxocarpus himalensis,23.25013,111.266022 +Trachelospermum asiaticum,33.779205,84.357292 +Trachelospermum axillare,35.86,104.2 +Trachelospermum bodinieri,35.86,104.2 +Trachelospermum brevistylum,31.82,108.62 +Trachelospermum jasminoides,36.519977,103.891767 +Trachelospermum yunnanense,35.86,104.2 +Tylophora arenicola,31.68115,103.853481 +Tylophora koi,25.268611,98.8025 +Tylophora nana,32.637983,103.59895 +Tylophora yunnanensis,25.6333,100.167 +Urceola linearicarpa,29.32,95.33 +Urceola micrantha,24.32306,109.49222 +Vallaris indecora,25.13,105.39 +Wrightia sikkimensis,0,0 +Actinocarya tibetica,33.7428,97.125 +Anchusa ovata,36.7,110.93 +Arnebia euchroma,31.47,79.8 +Arnebia fimbriata,39.62,106.84 +Arnebia guttata,33.38,79.73 +Arnebia szechenyi,36.98,105.91 +Asperugo procumbens,32.143056,97.270556 +Bothriospermum hispidissimum,25.012526,102.700013 +Bothriospermum kusnezowii,33.392394,104.926525 +Bothriospermum secundum,35.060556,117.436944 +Bothriospermum zeylanicum,31.95,103.56667 +Chionocharis hookeri,29.7108,98.0025 +Cordia dichotoma,26.07532,119.29897 +Cynoglossum amabile var. amabile,27.860674,99.704414 +Cynoglossum amabile var. pauciglochidiatum,26.876096,100.229945 +Cynoglossum furcatum var. furcatum,34.56,105.72 +Cynoglossum gansuense,35.84,104.11 +Cynoglossum lanceolatum,31.82,108.62 +Cynoglossum triste,27.931559,99.614517 +Cynoglossum wallichii var. glochidiatum,32.9986,97.2517 +Cynoglossum wallichii var. wallichii,32.9986,97.2517 +Ehretia corylifolia,35.86,104.2 +Ehretia dicksonii,26.466667,111.316667 +Eritrichium acicularum,36.63,101.2 +Eritrichium angustifolium,29.14,92.59 +Eritrichium axillare,35.261667,98.9825 +Eritrichium canum,28.85,85.29 +Eritrichium deqinense,28.48611,98.911543 +Eritrichium echinocaryum,28.48611,98.911543 +Eritrichium fruticulosum,28.85,85.29 +Eritrichium gracile,31.47,79.8 +Eritrichium hemisphaericum,33.38,79.73 +Eritrichium heterocarpum,35.14,100.61 +Eritrichium humillimum,32.829722,96.898889 +Eritrichium kangdingense,30.055305,101.96483 +Eritrichium lasiocarpum,30.93,88.7 +Eritrichium latifolium,36.21,79.3 +Eritrichium laxum,29.65,91.12 +Eritrichium longifolium,37.62,78.28 +Eritrichium longipes,32.77,96.67 +Eritrichium medicarpum,34.7078,100.244 +Eritrichium pamiricum,36.21,79.3 +Eritrichium pectinatociliatum,33.85,95.62 +Eritrichium petiolare var. petiolare,30.29,81.17 +Eritrichium petiolare var. subturbinatum,30.29,81.17 +Eritrichium petiolare var. villosum,32.49,80.09 +Eritrichium pseudolatifolium,36.21,79.3 +Eritrichium qofengense,28.65,87.12 +Eritrichium sessilifructum,28.48611,98.911543 +Eritrichium sinomicrocarpum,28.48611,98.911543 +Eritrichium spathulatum,35.98,76.47 +Eritrichium subjacquemontii,37.77,75.22 +Eritrichium tangkulaense,33.742778,97.125 +Eritrichium thymifolium subsp. latialatum,32.49,80.09 +Eritrichium thymifolium subsp. thymifolium,32.49,80.09 +Gastrocotyle hispida,38.62,103.09 +Hackelia brachytuba,27.78698,99.580719 +Hackelia difformis,0,0 +Hackelia uncinatum,28.85,85.29 +Heliotropium lasiocarpum,0,0 +Heliotropium strigosum,20.44,110.2 +Lappula caespitosa,31.47,79.8 +Lappula consanguinea,41.25,114.81 +Lappula duplicicarpa,0,0 +Lappula ferganensis,43.15,81.12 +Lappula himalayensis,31.47,79.8 +Lappula microcarpa,28.85,85.29 +Lappula myosotis,36.6,113.72 +Lappula patula,44.29,86.03 +Lappula pratensis,47.12,87.5 +Lappula redowskii,34.683333,100.683333 +Lappula semiglabra var. heterocaryoides,37.77,75.22 +Lappula semiglabra var. semiglabra,37.77,75.22 +Lappula sericata,37.1,79.93 +Lappula shanhsiensis,0,0 +Lappula tadshikorum,44.02,89.59 +Lasiocaryum densiflorum,28.915,89.603611 +Lasiocaryum munroi,27.48,88.9 +Lasiocaryum trichocarpum,29.0019,99.7428 +Lindelofia stylosa,0,0 +Lithospermum arvense,31.95,120.9 +Lithospermum erythrorhizon,29.534772,117.373176 +Lithospermum zollingeri,31.79,115.4 +Maharanga bicolor,28.3523,85.7833 +Maharanga emodi,28.85,85.29 +Mattiastrum himalayense,31.47,79.8 +Metaeritrichium microuloides,34.365,100.193 +Microcaryum pygmaeum,30.05,101.96 +Microula bhutanica,35.86,104.2 +Microula blepharolepis,29.85,102.25 +Microula ciliaris,29.037008,100.298406 +Microula diffusa,32.075,97.0386 +Microula efoveolata,27.928607,101.279419 +Microula floribunda,31.11667,101.13333 +Microula forrestii,26.876096,100.229945 +Microula hispidissima,28.17,85.98 +Microula involucriformis,30.368117,102.81464 +Microula jilongensis,28.85,85.29 +Microula leiocarpa,28.48611,98.911543 +Microula longipes,32.66667,102.91667 +Microula longituba,29.67,97.84 +Microula myosotidea,28.932073,99.79929 +Microula oblongifolia var. oblongifolia,29.037008,100.298406 +Microula ovalifolia var. ovalifolia,27.48,88.9 +Microula ovalifolia var. pubiflora,27.48,88.9 +Microula polygonoides,28.48611,98.911543 +Microula pseudotrichocarpa var. grandiflora,0,0 +Microula pseudotrichocarpa var. pseudotrichocarpa,27.928607,101.279419 +Microula pustulosa var. pustulosa,32.27,96.22 +Microula pustulosa var. setulosa,32.2792,96.2731 +Microula rockii,32.752222,103.746111 +Microula sikkimensis,31.26,113.98 +Microula spathulata,33.14,97.5 +Microula stenophylla,34.3108,99.1814 +Microula tangutica,34.1278,97.6578 +Microula tibetica var. laevis,37.699337,101.338623 +Microula tibetica var. pratensis,37.699337,101.338623 +Microula tibetica var. tibetica,37.699337,101.338623 +Microula trichocarpa var. trichocarpa,34.43808,104.036837 +Microula turbinata,32.637983,103.59895 +Microula younghusbandii,33.0006,97.3289 +Myosotis alpestris,31.43,103.17 +Myosotis caespitosa,40.21,116.17 +Onosma adenopus,29.1031,99.6319 +Onosma album,27.82308,99.706013 +Onosma confertum,28.450468,99.797363 +Onosma exsertum,25.032903,101.546159 +Onosma farreri,34.188997,105.178599 +Onosma fistulosum,25.869611,102.593465 +Onosma glomeratum,29.27,88.88 +Onosma hookeri var. hirsutum,29.65,91.12 +Onosma hookeri var. hookeri,29.65,91.12 +Onosma hookeri var. longiflorum,28.85,85.29 +Onosma liui,31.171008,115.768531 +Onosma maaikangense,29.67,97.84 +Onosma mertensioides,26.634503,102.577962 +Onosma multiramosum,31.68115,103.853481 +Onosma nangqenense,32.2,96.48 +Onosma paniculatum,25.827253,100.575146 +Onosma sinicum,34.188997,105.178599 +Onosma waddellii,31.1,97.19 +Onosma waltonii,29.27,88.88 +Onosma wardii,26.655322,102.244617 +Onosma yajiangense,30.031529,101.014427 +Onosma zayuense,35.86,104.2 +Rochelia cardiosepala,35.86,104.2 +Sinojohnstonia moupinensis,30.076244,110.619012 +Stenosolenium saxatile,40.366239,113.7539 +Symphytum officinale,31.25,121.4 +Trichodesma calycosum,0,0 +Trigonotis barkamensis,31.905842,102.206261 +Trigonotis bracteata,29.85,95.76 +Trigonotis cinereifolia,29.85,95.76 +Trigonotis delicatula,26.876096,100.229945 +Trigonotis gracilipes,36.519977,103.891767 +Trigonotis heliotropifolia,24.688873,101.641935 +Trigonotis leucantha,30.98,101.12 +Trigonotis longipes,30.36,119.95 +Trigonotis longiramosa,30.36,119.95 +Trigonotis microcarpa,23.880344,100.092755 +Trigonotis muliensis,31.302778,97.959444 +Trigonotis peduncularis var. macrantha,36.2,117.08 +Trigonotis peduncularis var. peduncularis,39.766222,114.941215 +Trigonotis petiolaris,31.9181,96.4608 +Trigonotis rockii,30.0009,94.2053 +Trigonotis rotundata,29.429442,110.693601 +Trigonotis tibetica,29.85,102.25 +Argyreia splendens,25.3969,98.8417 +Calystegia hederacea,37.28,114.51 +Calystegia pubescens,31.95,120.9 +Calystegia sepium subsp. spectabilis,40.083625,116.044525 +Convolvulus ammannii,36.52,103.89167 +Convolvulus arvensis,38.86,115.47 +Convolvulus fruticosus,44.9,82.07 +Convolvulus gortschakovii,38.93,100.46 +Convolvulus pseudocantabricus,38.86,115.47 +Convolvulus tragacanthoides,34.83,111.21 +Cuscuta approximata,46.74,82.97 +Cuscuta chinensis,36.06667,120.33334 +Cuscuta europaea,36.07,103.75 +Cuscuta gigantea,44.15,87.98 +Cuscuta japonica,44.338,129.484 +Cuscuta macrolepis,28,91.95 +Cuscuta reflexa,28.85,85.29 +Dinetus duclouxii,31.836227,104.160068 +Dinetus grandiflorus,26.257465,103.105257 +Dinetus racemosus,26.257465,103.105257 +Evolvulus alsinoides var. decumbens,18.252625,109.511923 +Ipomoea cairica var. gracillima,26.876096,100.229945 +Ipomoea eriocarpa,35.86,104.2 +Ipomoea hirtifolia,28.85,85.29 +Merremia cordata,28.54,102.17 +Merremia hungaiensis var. hungaiensis,24.9936,102.459 +Merremia sibirica var. macrosperma,27.82308,99.706013 +Merremia sibirica var. sibirica,35.86,104.2 +Merremia sibirica var. trichosperma,39.83,116.26 +Merremia sibirica var. vesiculosa,25.827253,100.575146 +Merremia yunnanensis var. glabrescens,26.876096,100.229945 +Merremia yunnanensis var. pallescens,27.928607,101.279419 +Merremia yunnanensis var. yunnanensis,27.928607,101.279419 +Anisodus carniolicoides,35.86,104.2 +Anisodus luridus,27.928607,101.279419 +Anisodus tanguticus,35.86,104.2 +Datura stramonium,37.83,112.52 +Hyoscyamus niger,42.62528,123.72528 +Lycianthes biflora var. biflora,35.86,104.2 +Lycianthes biflora var. subtusochracea,35.86,104.2 +Lycianthes hupehensis,35.86,104.2 +Lycianthes lysimachioides var. caulorhiza,27.145856,106.681731 +Lycianthes lysimachioides var. lysimachioides,35.86,104.2 +Lycianthes lysimachioides var. sinensis,35.86,104.2 +Lycianthes macrodon var. macrodon,35.86,104.2 +Lycianthes macrodon var. manipurensis,35.86,104.2 +Lycianthes neesiana,25.584234,100.222124 +Lycianthes shunningensis,35.86,104.2 +Lycianthes solitaria,28.66,97.46 +Lycianthes yunnanensis,35.86,104.2 +Lycium barbarum,36.5,102 +Lycium chinense var. chinense,38,115.56 +Lycium chinense var. potaninii,37.69,116.27 +Lycium cylindricum,35.86,104.2 +Lycium dasystemum,36.85,81.67 +Lycium ruthenicum,34.692659,103.353131 +Mandragora caulescens,29.58,94.95 +Physaliastrum heterophyllum,27.221519,112.805557 +Physaliastrum yunnanense,0,0 +Physalis alkekengi var. alkekengi,29.157849,107.099276 +Physalis alkekengi var. francheti,22.653799,108.310905 +Physalis angulata var. angulata,29.57,118.87 +Physalis minima,33.96,112.03 +Physochlaina praealta,32.49,80.09 +Przewalskia tangutica,33.1567,96.6483 +Solanum aculeatissimum,24.817169,103.322357 +Solanum americanum,35.86,104.2 +Solanum dulcamara,29.671778,115.989221 +Solanum erianthum,23.7,114.81 +Solanum japonense,31.936558,121.30051 +Solanum lyratum,26.466667,111.316667 +Solanum nigrum,38.45,77.27 +Solanum pittosporifolium,35.86,104.2 +Solanum pseudocapsicum var. diflorum,27.42,101.5 +Solanum septemlobum,34.499996,109.509787 +Solanum spirale,35.86,104.2 +Solanum torvum,0,0 +Solanum villosum,39.5,76 +Solanum violaceum,24.580446,99.92854 +Solanum virginianum,25.722231,108.864586 +Carlemannia tetragona,0,0 +Chionanthus ramiflorus,29.32,95.33 +Chionanthus retusus,39.943127,116.313766 +Forsythia likiangensis,27.928607,101.279419 +Fraxinus floribunda,29.86,121.54 +Fraxinus griffithii,32.079954,118.810291 +Fraxinus platypoda,30.36,102.81 +Fraxinus sikkimensis,29.32,95.33 +Fraxinus trifoliolata,26.684218,100.750798 +Fraxinus xanthoxyloides,39.879848,114.630747 +Jasminum beesianum,35.86,104.2 +Jasminum dispermum,35.86,104.2 +Jasminum duclouxii,27.7386,98.3489 +Jasminum humile var. humile,28.66,97.46 +Jasminum humile var. microphyllum,33.392394,104.926525 +Jasminum lanceolaria,35.86,104.2 +Jasminum mesnyi,36.519977,103.891767 +Jasminum nudiflorum var. nudiflorum,30.05,96.91 +Jasminum nudiflorum var. pulvinatum,30.05,96.91 +Jasminum officinale var. officinale,35.86,104.2 +Jasminum officinale var. piliferum,35.86,104.2 +Jasminum officinale var. tibeticum,27.928607,101.279419 +Jasminum polyanthum,25.08,104.89 +Jasminum seguinii,36.519977,103.891767 +Jasminum sinense,28.433333,110.4 +Jasminum stephanense,28.66,97.46 +Jasminum subhumile,25.7,104.46 +Ligustrum compactum,35.86,104.2 +Ligustrum confusum var. confusum,29.32,95.33 +Ligustrum delavayanum,35.86,104.2 +Ligustrum gracile,30.05,101.96 +Ligustrum lucidum,31.37,109.62 +Ligustrum quihoui,0,0 +Ligustrum robustum var. chayuense,28.67,97.47 +Ligustrum sempervirens,27.82308,99.706013 +Ligustrum sinense,35.86,104.2 +Olea europaea subsp. cuspidata,28.246667,99.3 +Olea gamblei,29.32,95.33 +Olea laxiflora,27.2822,100.85195 +Olea tsoongii,25.2975,98.7953 +Osmanthus delavayi,26.876096,100.229945 +Osmanthus dinggyensis,28.37,87.77 +Osmanthus fragrans,30.683697,104.008682 +Osmanthus suavis,24.615701,100.709787 +Osmanthus yunnanensis,25.869611,102.593464 +Syringa komarowii,30.066708,102.758313 +Syringa mairei,28.48611,98.911543 +Syringa persica,31.13,97.18 +Syringa pinetorum,27.82308,99.706013 +Syringa potaninii,30.99903,102.364372 +Syringa protolaciniata,39.95,116.3 +Syringa pubescens,41.896,126.657 +Syringa sweginzowii,31.5119,100.696 +Syringa tibetica,0,0 +Syringa villosa,39.83333,115.6 +Syringa wardii,28.48611,98.911543 +Aeschynanthus acuminatus,23.160603,106.288701 +Aeschynanthus angustioblongus,35.86,104.2 +Aeschynanthus angustissimus,29.32,95.33 +Aeschynanthus bracteatus var. bracteatus,35.86,104.2 +Aeschynanthus dolichanthus,29.32,95.33 +Aeschynanthus hookeri,35.86,104.2 +Aeschynanthus lasianthus,25.916101,98.752609 +Aeschynanthus lasiocalyx,29.32,95.33 +Aeschynanthus linearifolius,35.86,104.2 +Aeschynanthus maculatus,35.86,104.2 +Aeschynanthus medogensis,29.32,95.33 +Aeschynanthus mimetes,29.32,95.33 +Aeschynanthus stenosepalus,35.86,104.2 +Aeschynanthus superbus,29.32,95.33 +Aeschynanthus tengchungensis,35.86,104.2 +Ancylostemon aureus var. aureus,27.42,101.5 +Ancylostemon gamosepalus,28.65,102.52 +Briggsia agnesiae,0,0 +Briggsia aurantiaca,28.42,92.47 +Briggsia kurzii,29.49,103.39 +Briggsia muscicola,35.86,104.2 +Chirita anachoreta,22.06,106.86 +Chirita dielsii,24.580446,99.92854 +Chirita forrestii,30.066708,102.758313 +Chirita infundibuliformis,29.32,95.33 +Chirita lachenensis,29.32,95.33 +Chirita oblongifolia,35.86,104.2 +Chirita pumila,35.86,104.2 +Chirita tibetica,29.914155,102.234618 +Corallodiscus conchifolius,28.18,99.37 +Corallodiscus kingianus,30.1192,92.1594 +Corallodiscus lanuginosus,26.892495,100.132674 +Corallodiscus plicatus var. plicatus,26.56023,100.17643 +Didissandra sesquifolia,29.496119,103.398589 +Didymocarpus adenocalyx,25.670153,99.958012 +Didymocarpus aromaticus,28.85,85.29 +Didymocarpus medogensis,29.32,95.33 +Didymocarpus primulifolius,28.85,85.29 +Didymocarpus pulcher,23.125462,104.702829 +Didymocarpus villosus,28.17,85.98 +Didymocarpus yunnanensis,25.220606,98.686655 +Didymocarpus zhufengensis,26.041111,113.15222 +Isometrum eximium,29.000343,101.507299 +Isometrum farreri,36.088454,103.627971 +Isometrum glandulosum,32.94,104.68 +Isometrum lancifolium var. lancifolium,31.084,103.267 +Isometrum leucanthum,30.290996,108.936374 +Isometrum primuliflorum,30.05,101.96 +Isometrum sichuanicum,30.91,102.54 +Loxostigma griffithii,24.8025,98.7947 +Loxostigma mekongense,28.0339,98.3175 +Lysionotus atropurpureus,35.86,104.2 +Lysionotus forrestii,35.86,104.2 +Lysionotus gamosepalus,29.32,95.33 +Lysionotus gracilis,35.86,104.2 +Lysionotus levipes,27.6944,98.2847 +Lysionotus metuoensis,29.32,95.33 +Lysionotus pubescens,35.86,104.2 +Lysionotus serratus,24.68123,105.334672 +Lysionotus sessilifolius,35.86,104.2 +Lysionotus sulphureus,35.86,104.2 +Oreocharis aurantiaca,36.519977,103.891767 +Oreocharis cinnamomea,36.519977,103.891767 +Oreocharis cordatula,29.000343,101.507299 +Oreocharis delavayi,35.86,104.2 +Oreocharis forrestii,33.524483,107.990638 +Oreocharis georgei,27.928607,101.279419 +Oreocharis henryana,30.066708,102.758313 +Oreocharis minor,26.876096,100.229945 +Paraboea sinensis,24.8833,103.4 +Petrocosmea flaccida,27.928607,101.279419 +Petrocosmea forrestii,25.532528,102.404938 +Petrocosmea nervosa,27.928607,101.279419 +Petrocosmea oblata var. oblata,26.621611,101.543222 +Platystemma violoides,28.17,85.98 +Rhabdothamnopsis sinensis,28.3,102.41 +Rhynchoglossum obliquum,25.08,104.89 +Rhynchotechum ellipticum,0,0 +Rhynchotechum vestitum,24.615701,100.709787 +Tremacron forrestii,27.928607,101.279419 +Tremacron obliquifolium,26.890689,102.110335 +Tremacron urceolatum,27.93,101.28 +Adenosma glutinosum,22.695694,112.225341 +Callitriche palustris,33.356389,99.561944 +Ellisiophyllum pinnatum,36.519977,103.891767 +Hemiphragma heterophyllum,35.86,104.2 +Hippuris vulgaris,33.346667,99.572778 +Lagotis alutacea var. alutacea,28.576389,99.85 +Lagotis alutacea var. rockii,27.82308,99.706013 +Lagotis angustibracteata,35.37,99.28 +Lagotis brachystachya,34.6,92.77 +Lagotis brevituba,35.5014,99.51 +Lagotis clarkei,31.48,93.67 +Lagotis crassifolia,28.36,87.76 +Lagotis decumbens,33.38,79.73 +Lagotis humilis,31.47,79.8 +Lagotis integra,29.7,98 +Lagotis kongboensis,31.712092,88.118532 +Lagotis macrosiphon,28.55,85.3 +Lagotis pharica,29.7,98 +Lagotis praecox,31.0778,96.9478 +Lagotis ramalana,34.4606,100.402 +Lagotis wardii,28.48611,98.911543 +Lagotis yunnanensis,29.037008,100.298406 +Linaria kulabensis,38.073254,104.69114 +Linaria thibetica,29.7617,94.0102 +Lindenbergia grandiflora,22.01071,100.799775 +Lindenbergia muraria,30.4769,111.206 +Lindenbergia philippensis,22.929376,112.044025 +Picrorhiza scrophulariiflora,35.86,104.2 +Plantago arachnoidea,38.14,85.52 +Plantago asiatica subsp. asiatica,29.85,95.76 +Plantago asiatica subsp. erosa,29.22,102.35 +Plantago cornuti,43.8,87.6 +Plantago depressa,34.676944,100.661944 +Plantago himalaica,31.47,79.8 +Plantago lanceolata,33.03,108.24 +Plantago major,44.02,89.59 +Plantago maritima,38.59,108.84 +Plantago media,43.21,81.83 +Plantago minuta,36.07,103.75 +Pseudolysimachion linariifolium subsp. dilatatum,31.7667,104.7167 +Scrofella chinensis,32.637983,103.59895 +Veronica anagallis-aquatica,32.116389,97.265278 +Veronica anagalloides,45.97,126.72 +Veronica beccabunga,30.29,81.17 +Veronica biloba,33.1019,97.3031 +Veronica campylopoda,44.32,85.61 +Veronica cana,29.32,95.33 +Veronica capitata,26.876096,100.229945 +Veronica chayuensis,28.66,97.46 +Veronica ciliata subsp. cephaloides,29.68,89.09 +Veronica ciliata subsp. ciliata,30.29,81.17 +Veronica ciliata subsp. zhongdianensis,29.1031,99.6319 +Veronica deltigera,28.17,85.98 +Veronica eriogyne,31.87,99.12 +Veronica filipes,33.75,97.05 +Veronica himalensis,28.85,85.29 +Veronica javanica,29.49,103.39 +Veronica lanuginosa,28.65,87.12 +Veronica lasiocarpa,31.49,110.3 +Veronica laxa,35.86,104.2 +Veronica linariifolia,43.828,128.706 +Veronica longipetiolata,28.17,85.98 +Veronica perpusilla,46.67,90.38 +Veronica persica,32.05,118.79 +Veronica piroliformis,25.8833,100.017 +Veronica polita,32.055645,118.797741 +Veronica rockii subsp. rockii,28.48611,98.911543 +Veronica rockii subsp. stenocarpa,28.5,98.8667 +Veronica semiamplexicaulis,28.17,85.98 +Veronica serpyllifolia,31.33,110.78 +Veronica szechuanica subsp. sikkimensis,29.155,100.088 +Veronica szechuanica subsp. szechuanica,35.86,104.2 +Veronica tibetica,28.85,85.29 +Veronica undulata,32.05,118.79 +Veronica vandellioides,0,0 +Veronica yunnanensis,35.86,104.2 +Veronicastrum brunonianum,35.86,104.2 +Veronicastrum rhombifolium,30.06,102.75 +Veronicastrum yunnanense,29.914155,102.234618 +Buddleja albiflora,36.519977,103.891767 +Buddleja alternifolia,40.333333,117.333333 +Buddleja asiatica,24.32306,109.49222 +Buddleja brachystachya,25.584234,100.222124 +Buddleja candida,29.32,95.33 +Buddleja colvilei,27.740736,98.66582 +Buddleja crispa,36.519977,103.891767 +Buddleja davidii,27.7111,98.3469 +Buddleja delavayi,0,0 +Buddleja fallowiana,36.519977,103.891767 +Buddleja forrestii,35.86,104.2 +Buddleja macrostachya,0,0 +Buddleja myriantha,25.703422,100.134946 +Buddleja nivea,36.519977,103.891767 +Buddleja officinalis,25.25,110.05 +Buddleja tsetangensis,29.58,94.92 +Limosella aquatica,25.012526,102.700013 +Oreosolen wattii,30.5666,91.1033 +Scrophularia chasmophila,26.876096,100.229945 +Scrophularia delavayi,35.86,104.2 +Scrophularia dentata,28.85,85.29 +Scrophularia diplodonta,24.615701,100.709787 +Scrophularia elatior,27.71,102.8 +Scrophularia fargesii,29.496119,103.398589 +Scrophularia hypsophila,35.86,104.2 +Scrophularia incisa,36.5875,100.490556 +Scrophularia kansuensis,29.547396,103.352165 +Scrophularia mandarinorum,35.86,104.2 +Scrophularia mapienensis,30.06,102.75 +Scrophularia pauciflora,27.48,88.9 +Scrophularia przewalskii,33.75,97.05 +Scrophularia souliei,0,0 +Scrophularia spicata,26.56023,100.17643 +Scrophularia urticaefolia,35.86,104.2 +Scrophularia yunnanensis,35.86,104.2 +Lindernia ciliata,29.32,95.33 +Lindernia crustacea,24.983333,112.833333 +Lindernia hyssopoides,25.3506,98.6219 +Lindernia nummulariifolia,34.56,105.72 +Lindernia procumbens,43.957,126.752 +Lindernia ruellioides,26.466667,111.316667 +Torenia asiatica,22.010889,100.79926 +Torenia violacea,26.466667,111.316667 +Achyrospermum wallichianum,29.32,95.33 +Ajuga bracteosa,25.19,110.1 +Ajuga campylantha,30.08333,102.06667 +Ajuga campylanthoides,29.85,95.76 +Ajuga ciliata,25,111 +Ajuga forrestii,27.7386,98.3489 +Ajuga lobata,35.86,104.2 +Ajuga lupulina var. lupulina,36.519977,103.891767 +Ajuga lupulina var. major,36.519977,103.891767 +Ajuga macrosperma var. macrosperma,35.86,104.2 +Ajuga macrosperma var. thomsonii,35.86,104.2 +Ajuga nipponensis,32.047517,119.013656 +Ajuga nubigena,27.928607,101.279419 +Ajuga ovalifolia var. calantha,30.1469,101.86 +Ajuga ovalifolia var. ovalifolia,30.055305,101.96483 +Ajuga sciaphila,27.422643,101.509187 +Alajja anomala,39.72,75.25 +Alajja rhomboidea,39.72,75.25 +Amethystea caerulea,26.876096,100.229945 +Anisomeles indica,25.8544,98.8486 +Callicarpa arborea,29.32,95.33 +Callicarpa giraldii,27.25,112.683333 +Callicarpa rubella f. angustata,23.880344,100.092756 +Caryopteris divaricata,34.56,105.72 +Caryopteris forrestii var. forrestii,30.9311,97.3603 +Caryopteris forrestii var. minor,30.9311,97.3603 +Caryopteris mongholica,39.813712,109.974421 +Caryopteris nepetaefolia f. brevipes,29.65,91.14 +Caryopteris siccanea,25.666667,98.75 +Caryopteris tangutica,33.617764,106.921231 +Caryopteris terniflora,36.45,114.2 +Caryopteris trichosphaera,32.1208,97.035 +Chelonopsis albiflora,28.38,92.7 +Chelonopsis bracteata,36.519977,103.891767 +Chelonopsis forrestii,28.685449,103.676251 +Chelonopsis lichiangensis,25.584234,100.222124 +Chelonopsis mollissima,26.41795,103.297362 +Chelonopsis odontochila var. odontochila,27.928607,101.279419 +Chelonopsis odontochila var. smithii,27.928607,101.279419 +Chelonopsis pseudobracteata,27.82308,99.706013 +Chelonopsis siccanea,27.7,100.45 +Chelonopsis souliei,30.2117,99.3031 +Clerodendrum bracteatum,35.86,104.2 +Clerodendrum bungei,29.671778,115.989221 +Clerodendrum chinense var. simplex,0,0 +Clerodendrum colebrookianum,25.0167,98.6942 +Clerodendrum japonicum,26.466667,111.316667 +Clerodendrum lasiocephalum,24.392902,106.633387 +Clerodendrum lindleyi,26.466667,111.316667 +Clerodendrum serratum var. serratum,29.32,95.33 +Clerodendrum serratum var. wallichii,29.32,95.33 +Clerodendrum tibetanum,25.086828,104.895897 +Clerodendrum wallichii,22.391288,106.817838 +Clerodendrum yunnanense var. linearilobum,28.661276,97.466916 +Clerodendrum yunnanense var. yunnanense,35.86,104.2 +Clinopodium discolor,29.85,95.76 +Clinopodium longicaule,28.17,85.98 +Clinopodium megalanthum,25.2161,98.4961 +Clinopodium polycephalum,35.86,104.2 +Clinopodium repens,31.33,110.78 +Colebrookea oppositifolia,21.934011,101.260734 +Colquhounia coccinea var. coccinea,35.86,104.2 +Colquhounia coccinea var. mollis,35.86,104.2 +Colquhounia compta var. compta,26.876096,100.229945 +Colquhounia seguinii,25.365236,104.765671 +Craniotome furcata,27.4,102.17 +Dracocephalum bipinnatum,44.96,81.02 +Dracocephalum breviflorum,26.33,115.36 +Dracocephalum bullatum,26.876096,100.229945 +Dracocephalum calophyllum,28.58,92.5 +Dracocephalum hemsleyanum,29.2236,90.6319 +Dracocephalum heterophyllum var. heterophyllum,34.365,100.193 +Dracocephalum heterophyllum var. rubicundum,34.365,100.193 +Dracocephalum imberbe,43.15,81.12 +Dracocephalum imbricatum,27.82308,99.706013 +Dracocephalum integrifolium,38.9,75.2 +Dracocephalum isabellae,27.82308,99.706013 +Dracocephalum microflorum,27.928607,101.279419 +Dracocephalum nodulosum,44.97,81.03 +Dracocephalum paulsenii,43.92,81.32 +Dracocephalum propinquum,27.93,101.28 +Dracocephalum purdomii,35.84,104.11 +Dracocephalum rupestre,36.519977,103.891767 +Dracocephalum stamineum,36.38,76.8 +Dracocephalum taliense,26.56023,100.17643 +Dracocephalum tanguticum var. cinereum,31.39,90 +Dracocephalum tanguticum var. nanum,30.47,91.09 +Dracocephalum tanguticum var. tanguticum,28.7742,86.2194 +Dracocephalum velutinum var. intermedium,28.48611,98.911543 +Dracocephalum velutinum var. velutinum,28.48611,98.911543 +Dracocephalum wallichii var. platyanthum,30.05,96.91 +Dracocephalum wallichii var. proliferum,28.66,97.46 +Dracocephalum wallichii var. wallichii,30.05,96.91 +Elsholtzia blanda,23.9,106.61 +Elsholtzia capituligera,31.13,97.18 +Elsholtzia cephalantha,32.783333,103.266667 +Elsholtzia ciliata var. ciliata,30.979541,101.125234 +Elsholtzia ciliata var. duplicato-crenata,28.48611,98.911543 +Elsholtzia cyprianii var. cyprianii,25.8544,98.8486 +Elsholtzia cyprianii var. longipilosa,29.91,102.23 +Elsholtzia densa,33.693889,99.431111 +Elsholtzia eriocalyx var. eriocalyx,29,101.5 +Elsholtzia eriocalyx var. tomentosa,29,101.5 +Elsholtzia eriostachya,29.3769,96.8942 +Elsholtzia feddei,31.833056,96.488333 +Elsholtzia flava,30.066708,102.758313 +Elsholtzia fruticosa var. fruticosa,29.32,95.33 +Elsholtzia fruticosa var. glabrifolia,31.13,97.18 +Elsholtzia glabra,35.86,104.2 +Elsholtzia luteola,27.928607,101.279419 +Elsholtzia myosurus,29.91,102.23 +Elsholtzia ochroleuca,30.05,101.96 +Elsholtzia pilosa,35.86,104.2 +Elsholtzia pygmaea,26.908457,102.930168 +Elsholtzia rugulosa,35.86,104.2 +Elsholtzia souliei,31.5344,100.702 +Elsholtzia stachyodes,33.327283,106.156715 +Elsholtzia strobilifera,24.8308,98.7678 +Eremostachys speciosa,39.71,75.25 +Eriophyton wallichii,0,0 +Galeopsis bifida,29.53,93.14 +Glechoma longituba,43.672979,126.187308 +Glechoma sinograndis,25.869611,102.593465 +Gmelina arborea,23.100308,113.299665 +Gmelina delavayana,36.519977,103.891767 +Gomphostemma parviflorum var. farinosum,22.01071,100.799775 +Gomphostemma stellatohirsutum,22.983563,103.687613 +Isodon adenanthus,28.932073,99.79929 +Isodon adenolomus,26.666667,99.666667 +Isodon albopilosus,32.95,104.68 +Isodon angustifolius var. angustifolius,36.519977,103.891767 +Isodon angustifolius var. glabrescens,36.519977,103.891767 +Isodon barbeyanus,30.055305,101.96483 +Isodon bulleyanus,30.87,101.89 +Isodon calcicolus var. calcicolus,0,0 +Isodon coetsa var. cavaleriei,26.876096,100.229945 +Isodon coetsa var. coetsa,29.914155,102.234618 +Isodon dawoensis,31.5344,100.702 +Isodon eriocalyx,24.771835,102.701697 +Isodon excisoides,27.44164,104.873643 +Isodon flabelliformis,29.0447,99.7114 +Isodon flavidus,25.275367,103.003972 +Isodon flexicaulis,32.54306,101.06778 +Isodon forrestii,24.976725,101.487417 +Isodon gesneroides,25.166111,116.193611 +Isodon glutinosus,26.22,104.1 +Isodon grandifolius var. atuntzeensis,29.67,97.84 +Isodon grandifolius var. grandifolius,24.976725,101.487417 +Isodon henryi,31.331599,110.783718 +Isodon hispidus,27.6973,98.317703 +Isodon irroratus,26.8,100.2667 +Isodon japonicus,37.505824,121.391403 +Isodon leucophyllus,36.519977,103.891767 +Isodon lihsienensis,30.91,102.54 +Isodon lophanthoides var. gerardianus,26.1364,98.5844 +Isodon lophanthoides var. lophanthoides,25.2161,98.4961 +Isodon loxothyrsus,25.399164,98.829727 +Isodon medilungensis,27.92,101.27 +Isodon megathyrsus var. megathyrsus,28.7672,99.87 +Isodon megathyrsus var. strigosissimus,28.779444,99.881111 +Isodon mucronatus,25.166111,116.193611 +Isodon muliensis,27.928607,101.279419 +Isodon oresbius,30.055305,101.96483 +Isodon pantadenius,25.166111,116.193611 +Isodon parvifolius,0,0 +Isodon pharicus,29.0447,99.7114 +Isodon phyllopodus,27.402909,102.17533 +Isodon phyllostachys,26.98,100.23 +Isodon pleiophyllus var. dolichodens,26.876096,100.229945 +Isodon pleiophyllus var. pleiophyllus,29.83,91.73 +Isodon pulchokiensis,25.166111,116.193611 +Isodon rubescens,26.380833,110.814444 +Isodon rugosiformis,27.7408,98.66 +Isodon rugosus,29.12,92.53 +Isodon scoparius,27.35361,100.16111 +Isodon scrophularioides,27.48,88.9 +Isodon sculponeatus,26.808914,99.633004 +Isodon secundiflorus,27.92,101.27 +Isodon setschwanensis,29.6375,98.90833 +Isodon silvaticus,25.166111,116.193611 +Isodon smithianus,29.03,93.15 +Isodon tenuifolius,32.637983,103.59895 +Isodon ternifolius,25.950001,98.826668 +Isodon wardii,28.95,93.22 +Isodon weisiensis,30.8503,101.277 +Isodon wikstroemioides,29.17,92.67 +Isodon yuennanensis,27.696857,103.248771 +Lagochilus kaschgaricus,39.72,76.17 +Lagochilus macrodontus,39.72,75.25 +Lagochilus platyacanthus,39.71,75.25 +Lagopsis eriostachys,41.827587,123.416408 +Lagopsis flava,31.47,79.8 +Lagopsis supina,34.676667,100.643333 +Lamiophlomis rotata var. rotata,30.6839,97.2619 +Lamiophlomis rotata var. subglabra,30.6839,97.2619 +Lamium album,0,0 +Lamium amplexicaule,34.716667,99.686944 +Lamium barbatum,29.671778,115.989221 +Lamium gilongensis,28.85,85.29 +Leonurus japonicus,41.73,125.556 +Leonurus sibiricus,29.326488,114.963104 +Leonurus urticifolius,43.15,81.13 +Leucas ciliata,25.2675,98.8253 +Leucas mollissima var. chinensis,36.519977,103.891767 +Leucas mollissima var. mollissima,36.519977,103.891767 +Leucosceptrum canum,24.786944,100.4175 +Lophanthus subnivalis,43.810314,87.605163 +Lophanthus tibeticus,0,0 +Lycopus europaeus,44.32,85.61 +Lycopus lucidus var. hirtus,32.05,118.79 +Lycopus lucidus var. lucidus,32.05,118.79 +Marmoritis complanatum,28.8164,99.2158 +Marmoritis decolorans,31.4169,96.6917 +Marmoritis nivalis,31.712092,88.118532 +Marmoritis pharicus,29.0447,99.7114 +Marmoritis rotundifolia,32.57,83.37 +Meehania fargesii,29.924953,110.674911 +Melissa axillaris,28.66,97.46 +Melissa flava,28.17,85.98 +Melissa yunnanensis,0,0 +Mentha asiatica,30.29,81.17 +Mentha canadensis,28.56055,98.83972 +Micromeria barosma,26.876096,100.229945 +Micromeria biflora var. biflora,28.85,85.29 +Micromeria biflora var. hispida,28.85,85.29 +Micromeria euosma,26.876096,100.229945 +Microtoena delavayi var. amblyodon,26.56023,100.17643 +Microtoena delavayi var. delavayi,35.86,104.2 +Microtoena delavayi var. grandiflora,25.012526,102.700013 +Microtoena muliensis,35.86,104.2 +Microtoena patchoulii,22.010889,100.79926 +Microtoena stenocalyx,35.86,104.2 +Mosla cavaleriei,25.405255,113.713929 +Mosla dianthera,43.726,128.02 +Nepeta annua,42.94,89.18 +Nepeta coerulescens,31.875278,96.523611 +Nepeta densiflora,37.07,115.67 +Nepeta dentata,31.24,97.28 +Nepeta discolor,29.25,90 +Nepeta floccosa,31.48,79.8 +Nepeta glutinosa,36.519977,103.891767 +Nepeta hemsleyana,29.53,93.14 +Nepeta jomdaensis,30.8503,101.277 +Nepeta kokamirica,42.32,86.4 +Nepeta laevigata,29.36,94.38 +Nepeta lamiopsis,29.32,95.33 +Nepeta leucolaena,41.877262,115.282996 +Nepeta lipskyi,29.565,94.5436 +Nepeta longibracteata,30.29,81.17 +Nepeta membranifolia,29.1025,99.6708 +Nepeta nervosa,47.94,88.14 +Nepeta prattii,36.733619,101.037177 +Nepeta pungens,43.81,87.6 +Nepeta raphanorhiza,29.89,91.26 +Nepeta salviaefolia,47.94,88.14 +Nepeta sessilis,27.82308,99.706013 +Nepeta souliei,29.25,94.25 +Nepeta stewartiana,29.1419,99.6497 +Nepeta sungpanensis,33.26,104.23 +Nepeta supina,31.47,79.8 +Nepeta taxkorganica,37.77,75.22 +Nepeta tenuiflora,0,0 +Nepeta veitchii,0,0 +Nepeta wilsonii,0,0 +Nepeta yanthina,33.38,79.73 +Nepeta zandaensis,30.29,81.17 +Notochaete hamosa,24.8128,98.7831 +Notochaete longiaristata,35.86,104.2 +Origanum vulgare,28.40083,98.78472 +Orthosiphon wulfenioides var. foliosus,24.814083,102.396987 +Orthosiphon wulfenioides var. wulfenioides,24.9333,102.483 +Paraphlomis javanica,21.934011,101.260734 +Perovskia abrotanoides,26.901731,98.869207 +Perovskia atriplicifolia,27.92,101.27 +Phlomis alpina,43.55,86.483333 +Phlomis ambigua,27.18,99.28 +Phlomis atropurpurea f. atropurpurea,27.82308,99.706013 +Phlomis atropurpurea f. pallidior,27.82308,99.706013 +Phlomis atropurpurea f. pilosa,27.82308,99.706013 +Phlomis betonicoides f. alba,29.85,95.76 +Phlomis betonicoides f. betonicoides,29.58,94.92 +Phlomis brevidentata,29.7008,91.4303 +Phlomis congesta,28.54,102.17 +Phlomis dentosa var. dentosa,35.13,104.21 +Phlomis dentosa var. glabrescens,43.61,118.06 +Phlomis fimbriata,27.740736,98.66582 +Phlomis forrestii,35.86,104.2 +Phlomis franchetiana,25.584234,100.222124 +Phlomis likiangensis,29.1411,99.9283 +Phlomis longicalyx,27.177166,99.28717 +Phlomis medicinalis,31.49,98.21 +Phlomis megalantha,37,112.66667 +Phlomis melanantha,35.86,104.2 +Phlomis milingensis,29.22,94.22 +Phlomis muliensis,29.63,94.36 +Phlomis nana,27.8492,91.6878 +Phlomis nyalamensis,28.17,85.98 +Phlomis oreophila var. oreophila,43.81,87.6 +Phlomis ornata,27.82308,99.706013 +Phlomis pararotata,35.86,104.2 +Phlomis ruptilis,25.7,100.117 +Phlomis setifera,28.85,85.29 +Phlomis strigosa,26.56023,100.17643 +Phlomis tatsienensis var. hirticalyx,26.876096,100.229945 +Phlomis tatsienensis var. tatsienensis,26.876096,100.229945 +Phlomis tibetica var. tibetica,29.85,95.76 +Phlomis tibetica var. wardii,29.32,95.33 +Phlomis umbrosa var. australis,38.5,111 +Phlomis umbrosa var. umbrosa,32.059064,119.418318 +Phlomis younghusbandii,28.85,85.29 +Pogostemon brevicorollus,35.86,104.2 +Pogostemon chinensis,25.60168,110.585686 +Pogostemon dielsianus,35.86,104.2 +Pogostemon hispidocalyx,35.86,104.2 +Pogostemon nigrescens,24.9222,98.6328 +Premna acutata,36.519977,103.891767 +Premna henryana,23.36561,103.388085 +Premna interrupta,25.213333,98.578056 +Premna mekongensis var. meiophylla,27.12,100.22 +Premna mekongensis var. mekongensis,29.91,102.23 +Premna oligantha,28.71,99.28 +Premna punicea,26.56023,100.17643 +Premna racemosa,35.86,104.2 +Premna tapintzeana,25.6,100.033 +Premna yunnanensis,29.914155,102.234618 +Prunella hispida,28.85,85.29 +Prunella vulgaris var. lanceolata,35.86,104.2 +Prunella vulgaris var. vulgaris,35.86,104.2 +Rostrinucula dependens,29.22,102.35 +Rubiteucris palmata,29.6008,102.068 +Salvia aerea,27.791771,99.58152 +Salvia atrorubra,26.876096,100.229945 +Salvia bifidocalyx,27.82308,99.706013 +Salvia brachyloma,27.928607,101.279419 +Salvia brevilabra,30.05,101.96 +Salvia bulleyana,0,0 +Salvia campanulata var. campanulata,28.85,85.29 +Salvia campanulata var. codonantha,35.86,104.2 +Salvia campanulata var. fissa,35.86,104.2 +Salvia campanulata var. hirtella,28.85,85.29 +Salvia castanea,31.712092,88.118532 +Salvia cyclostegia var. cyclostegia,27.82308,99.706013 +Salvia cyclostegia var. purpurascens,27.82308,99.706013 +Salvia cynica,30.06,102.75 +Salvia digitaloides var. digitaloides,27.3394,100.191 +Salvia digitaloides var. glabrescens,28.27,103.57 +Salvia evansiana var. evansiana,35.86,104.2 +Salvia evansiana var. scaposa,35.86,104.2 +Salvia flava var. flava,40.02,116.21 +Salvia flava var. megalantha,28.48611,98.911543 +Salvia glutinosa,40.02,116.21 +Salvia grandifolia,36.519977,103.891767 +Salvia handelii,29,101.5 +Salvia heterochroa,27.740736,98.66582 +Salvia hylocharis,26.876096,100.229945 +Salvia kiaometiensis,27.37,102.53 +Salvia lankongensis,0,0 +Salvia maximowicziana var. floribunda,32.58333,103.83333 +Salvia maximowicziana var. maximowicziana,0,0 +Salvia mekongensis,35.86,104.2 +Salvia omeiana var. grandibracteata,32.44,104.55 +Salvia omeiana var. omeiana,32.44,104.55 +Salvia pauciflora,27.82308,99.706013 +Salvia plebeia,25.79,114.53 +Salvia plectranthoides,31.33,110.78 +Salvia pogonochila,38.073254,104.69114 +Salvia prattii,32.9911,97.3481 +Salvia przewalskii var. alba,29.1531,101.407 +Salvia przewalskii var. glabrescens,28.48611,98.911543 +Salvia przewalskii var. mandarinorum,29.5058,96.7425 +Salvia przewalskii var. przewalskii,28.65277,98.92888 +Salvia roborowskii,31.68115,103.853481 +Salvia schizocalyx,35.86,104.2 +Salvia schizochila,27.928607,101.279419 +Salvia sikkimensis var. chaenocalyx,28.66,97.46 +Salvia sikkimensis var. sikkimensis,35.86,104.2 +Salvia smithii,30.36,102.81 +Salvia subpalmatinervis,29,101.5 +Salvia tricuspis,35.37,103.86 +Salvia trijuga,27.18,100.03 +Salvia wardii,31.08,96.97 +Salvia yunnanensis,27.42,101.5 +Scutellaria amoena var. amoena,25.012526,102.700013 +Scutellaria amoena var. cinerea,25.012526,102.700013 +Scutellaria barbata,25.25,110.05 +Scutellaria chungtienensis,27.82308,99.706013 +Scutellaria discolor,0,0 +Scutellaria forrestii,26.993382,100.194412 +Scutellaria hypericifolia var. hypericifolia,32.637983,103.59895 +Scutellaria hypericifolia var. pilosa,32.07,102.98 +Scutellaria jodudiana,39.72,75.25 +Scutellaria kingiana,28.36,87.76 +Scutellaria likiangensis,27.4758,99.8842 +Scutellaria linarioides,27.37,102.53 +Scutellaria oligodonta,39.72,75.25 +Scutellaria orthocalyx,26.890689,102.110335 +Scutellaria prostrata,28.08,87.32 +Scutellaria pseudotenax,23.763342,98.82524 +Scutellaria rehderiana,35.663756,103.389341 +Scutellaria scandens,33.981028,108.20147 +Scutellaria scordifolia,43.5,116.816667 +Scutellaria tapintzeensis,41,84 +Scutellaria tenax var. patentipilosa,47.34,130.32 +Scutellaria tenax var. tenax,29.91,102.23 +Scutellaria violacea var. sikkimensis,35.86,104.2 +Scutellaria yangbiense,0,0 +Siphocranion macranthum,25.6311,98.6736 +Siphocranion nudipes,25.60168,110.585686 +Skapanthus oreophilus var. elongatus,27.92,101.27 +Skapanthus oreophilus var. oreophilus,27.92,101.27 +Stachys kouyangensis var. franchetiana,29.1419,99.6497 +Stachys kouyangensis var. kouyangensis,29.1419,99.6497 +Stachys kouyangensis var. tuberculata,23.880344,100.092756 +Stachys melissaefolia,28.85,85.29 +Stachys tibetica,24.761293,102.893023 +Teucrium nanum,25.670153,99.958012 +Teucrium omeiense var. cyanophyllum,27.177166,99.28717 +Teucrium quadrifarium,0,0 +Teucrium viscidum,30.273977,120.172974 +Thymus diminutus,47,89.52 +Thymus linearis,28.19,86.2 +Thymus mongolicus,39.98333,116.2 +Thymus seravschanicus,41.71,82.96 +Vitex burmensis,29.32,95.33 +Vitex negundo var. cannabifolia,30.19,119.36 +Vitex negundo var. microphylla,24.976725,101.487417 +Vitex negundo var. negundo,39.996986,115.95285 +Vitex quinata var. puberula,24.164081,107.205169 +Vitex yunnanensis,28.7433,101.681 +Ziziphora pamiroalaica,37.07,115.67 +Lancea hirsuta,32.637983,103.59895 +Lancea tibetica,27.777901,99.598686 +Mazus celsioides,35.86,104.2 +Mazus humilis,35.86,104.2 +Mazus japonicus var. macrocalyx,25.6,110.58 +Mazus lecomtei,27.37,102.53 +Mazus pumilus var. delavayi,35.86,104.2 +Mazus pumilus var. pumilus,36.06667,120.33334 +Mazus rockii,26.876096,100.229945 +Mazus surculosus,27.48,88.9 +Mimulus bodinieri,35.86,104.2 +Mimulus bracteosus,27.69,108.85 +Mimulus tenellus var. nepalensis,31.37,109.62 +Mimulus tenellus var. platyphyllus,29.22,102.35 +Mimulus tenellus var. procerus,29.22,102.35 +Mimulus tenellus var. tenellus,31.37,109.62 +Mimulus tibeticus,29.7786,94.7247 +Phryma leptostachya subsp. asiatica,39.31,115.24 +Brandisia rosea var. flava,35.86,104.2 +Aeginetia indica,0,0 +Alectra avensis,23,102.4 +Boschniakia himalaica,27.791447,99.582588 +Centranthera grandiflora,28.66,97.46 +Cistanche mongolica,39.71,75.25 +Cistanche salsa,43.81,87.6 +Cymbaria mongolica,35.58066,104.610604 +Euphrasia jaeschkei,28.85,85.29 +Euphrasia pectinata subsp. pectinata,39.36,114.71 +Euphrasia pectinata subsp. sichuanica,30.05,101.96 +Euphrasia regelii subsp. kangtienensis,29.7033,92.1214 +Euphrasia regelii subsp. regelii,31.712092,88.118532 +Gleadovia mupinense,30.06,102.75 +Gleadovia ruborum,35.86,104.2 +Mannagettaea hummelii,33.0464,96.855 +Mannagettaea labiata,29.914155,102.234618 +Melampyrum klebelsbergianum,35.86,104.2 +Odontites vulgaris,50.58,123.72 +Orobanche alba,30.91,102.54 +Orobanche amoena,46.74,82.97 +Orobanche cernua,38.62,103.09 +Orobanche coerulescens,28.1775,98.786389 +Orobanche megalantha,36.519977,103.891767 +Orobanche sinensis,28.66,97.46 +Orobanche yunnanensis,26.876096,100.229945 +Pedicularis alaschanica subsp. alaschanica,34.6833,100.683 +Pedicularis alaschanica subsp. tibetica,29.656843,91.125101 +Pedicularis alopecuros var. alopecuros,28.230591,103.636769 +Pedicularis altifrontalis,28.66,97.46 +Pedicularis anas var. anas,28.385,98.78583 +Pedicularis anas var. tibetica,32.637983,103.59895 +Pedicularis anas var. xanthantha,28.385,98.78583 +Pedicularis angularis,33.04549,102.89513 +Pedicularis angustilabris,26.876096,100.229945 +Pedicularis angustiloba,29.58,94.98 +Pedicularis anomala,29.85,95.76 +Pedicularis armata,35.555814,106.046122 +Pedicularis aschistorrhyncha,35.86,104.2 +Pedicularis atroviridis,31.712092,88.118532 +Pedicularis atuntsiensis,30.0403,101.838 +Pedicularis aurata,35.86,104.2 +Pedicularis axillaris,35.86,104.2 +Pedicularis batangensis,30.6528,100.216 +Pedicularis bella subsp. holophylla,29.05,93.07 +Pedicularis bidentata,32.322417,102.455417 +Pedicularis bietii,31.95,102.65 +Pedicularis bifida,28.17,85.98 +Pedicularis binaria,30,99 +Pedicularis bomiensis,29.85,95.76 +Pedicularis brachycrania,35.86,104.2 +Pedicularis cephalantha var. cephalantha,30.055305,101.96483 +Pedicularis cephalantha var. szetchuanica,30.055305,101.96483 +Pedicularis cernua subsp. cernua,26.901731,98.869207 +Pedicularis cernua subsp. latifolia,35.86,104.2 +Pedicularis cheilanthifolia subsp. cheilanthifolia,30.055305,101.96483 +Pedicularis cheilanthifolia subsp. svenhedinii,30.93,88.7 +Pedicularis chenocephala,34.460556,100.401667 +Pedicularis chinensis,36.92,101.32 +Pedicularis chingii,35.86,104.2 +Pedicularis chumbica,29.6111,94.6517 +Pedicularis cinerascens,29.3342,101.499 +Pedicularis clarkei,28.3,90.85 +Pedicularis comptoniifolia,27.42,101.5 +Pedicularis confertiflora subsp. confertiflora,36.92,101.32 +Pedicularis confertiflora subsp. parvifolia,26.876096,100.229945 +Pedicularis connata,28.66,97.46 +Pedicularis corydaloides,35.86,104.2 +Pedicularis corymbifera,29.85,95.76 +Pedicularis cranolopha var. cranolopha,34.676667,100.643333 +Pedicularis cranolopha var. garnieri,31,102.37 +Pedicularis cranolopha var. longicornuta,29.037008,100.298406 +Pedicularis craspedotricha,33.78,104.37 +Pedicularis crenata subsp. crenata,26.56023,100.17643 +Pedicularis crenata subsp. crenatiformis,27.82308,99.706013 +Pedicularis crenularis,26.876096,100.229945 +Pedicularis cristatella,32.280833,96.463056 +Pedicularis croizatiana,0,0 +Pedicularis cryptantha subsp. cryptantha,31.712092,88.118532 +Pedicularis cryptantha subsp. erecta,0,0 +Pedicularis cyathophylla,29.98,100.88 +Pedicularis cyathophylloides,29.000343,101.507299 +Pedicularis cyclorhyncha,26.876096,100.229945 +Pedicularis cymbalaria,27.82308,99.706013 +Pedicularis daltonii,35.86,104.2 +Pedicularis daochengensis,29.1419,99.6497 +Pedicularis daucifolia,32.746389,97.347222 +Pedicularis davidii var. davidii,30.368117,102.81464 +Pedicularis davidii var. pentodon,32.637983,103.59895 +Pedicularis debilis subsp. debilior,27.82308,99.706013 +Pedicularis debilis subsp. debilis,27.177166,99.28717 +Pedicularis decora,33.524483,107.990638 +Pedicularis decorissima,31.72,100.719 +Pedicularis deltoidea,26.901731,98.869207 +Pedicularis densispica subsp. densispica,27.90126,99.638008 +Pedicularis densispica subsp. schneideri,26.56023,100.17643 +Pedicularis densispica subsp. viridescens,27.82308,99.706013 +Pedicularis deqinensis,28.48611,98.911543 +Pedicularis dichotoma,28.13,99.43 +Pedicularis dichrocephala,25.275367,103.003972 +Pedicularis diffusa subsp. diffusa,29.333333,94.716667 +Pedicularis diffusa subsp. elatior,29.333333,94.716667 +Pedicularis dissectifolia,27.42,101.5 +Pedicularis dolichocymba,28.5733,99.8117 +Pedicularis dolichoglossa,27.3778,100.077 +Pedicularis dolichorrhiza,36.85,76.95 +Pedicularis dolichostachya,25.104264,107.509707 +Pedicularis duclouxii,28.661276,97.466916 +Pedicularis dulongensis,35.86,104.2 +Pedicularis dunniana,31.269611,102.595783 +Pedicularis elliotii,28.48611,98.911543 +Pedicularis elwesii subsp. major,35.86,104.2 +Pedicularis elwesii subsp. minor,35.86,104.2 +Pedicularis elwesii var. canescens,35.86,104.2 +Pedicularis elwesii var. elwesii,35.86,104.2 +Pedicularis excelsa,28,91.95 +Pedicularis fastigiata,0,0 +Pedicularis fengii,27.92,101.27 +Pedicularis filicula var. filicula,27.928607,101.279419 +Pedicularis filicula var. saganaica,27.928607,101.279419 +Pedicularis filiculiformis,31.712092,88.118532 +Pedicularis flaccida,29.000343,101.507299 +Pedicularis fletcheri,29.03,93.93 +Pedicularis flexuosa,31.93,94.03 +Pedicularis floribunda,31.8,98.58 +Pedicularis forrestiana,26.8,100.2667 +Pedicularis fragarioides,30.63,93.2 +Pedicularis franchetiana,30.055305,101.96483 +Pedicularis furfuracea,27.48,88.9 +Pedicularis galeata,28.48611,98.911543 +Pedicularis garckeana,33.43,91.22 +Pedicularis geosiphon,27.928607,101.279419 +Pedicularis glabrescens,35.86,104.2 +Pedicularis globifera,29.656843,91.125101 +Pedicularis gongshanensis,35.86,104.2 +Pedicularis gracilicaulis,35.86,104.2 +Pedicularis gracilis subsp. macrocarpa,28.85,85.29 +Pedicularis gracilis subsp. sinensis,35.86,104.2 +Pedicularis gracilis subsp. stricta,27.82308,99.706013 +Pedicularis gracilituba subsp. gracilituba,27.82308,99.706013 +Pedicularis gracilituba subsp. setosa,27.82308,99.706013 +Pedicularis gruina subsp. gruina,29.22,102.35 +Pedicularis gruina subsp. pilosa,29.22,102.35 +Pedicularis gruina subsp. polyphylla,25.827253,100.575146 +Pedicularis gyirongensis,28.85,85.29 +Pedicularis gyrorhyncha,35.86,104.2 +Pedicularis habachanensis subsp. habachanensis,24.976725,101.487417 +Pedicularis habachanensis subsp. multipinnata,24.976725,101.487417 +Pedicularis hemsleyana,29.67,102.62 +Pedicularis henryi,25.39996,112.948819 +Pedicularis hirtella,26.56023,100.17643 +Pedicularis humilis,35.86,104.2 +Pedicularis inaequilobata,28.93,99.79 +Pedicularis infirma,28.576389,99.85 +Pedicularis ingens,28.93,99.79 +Pedicularis insignis,28.48611,98.911543 +Pedicularis integrifolia subsp. integerrima,27.82308,99.706013 +Pedicularis integrifolia subsp. integrifolia,27.82308,99.706013 +Pedicularis kangtingensis,30.05,101.96 +Pedicularis kansuensis subsp. kansuensis,36.584828,100.494247 +Pedicularis kansuensis subsp. kokonorica,34.6833,100.683 +Pedicularis kansuensis subsp. villosa,31.833056,96.488333 +Pedicularis kansuensis subsp. yargongensis,27.82308,99.706013 +Pedicularis kariensis,33,97.02 +Pedicularis kialensis,28.5,101.17 +Pedicularis kongboensis var. kongboensis,29.05,93.98 +Pedicularis kongboensis var. obtusata,29.05,93.98 +Pedicularis labordei,25.703877,104.468265 +Pedicularis lachnoglossa,30.055305,101.96483 +Pedicularis lamioides,35.86,104.2 +Pedicularis lanpingensis,26.453601,99.416689 +Pedicularis lasiophrys var. sinica,32.637983,103.59895 +Pedicularis latirostris,35.20256,102.521732 +Pedicularis latituba,31.3506,97.6828 +Pedicularis laxispica,27.82308,99.706013 +Pedicularis lecomtei,28.17,85.98 +Pedicularis leptosiphon,28.93,99.79 +Pedicularis likiangensis subsp. likiangensis,28.479722,98.948611 +Pedicularis likiangensis subsp. pulchra,28.479722,98.948611 +Pedicularis lineata,23.763342,98.82524 +Pedicularis lingelsheimiana,28.93,99.79 +Pedicularis longicalyx,29.63,94.36 +Pedicularis longiflora var. hongyuanensis,27.623894,99.639359 +Pedicularis longiflora var. longiflora,27.623894,99.639359 +Pedicularis longiflora var. tubiformis,27.623894,99.639359 +Pedicularis longipes,30.99,102.36 +Pedicularis longistipitata,31.875278,96.523611 +Pedicularis lophotricha,28.71,99.28 +Pedicularis lutescens subsp. brevifolia,35.86,104.2 +Pedicularis lutescens subsp. longipetiolata,35.86,104.2 +Pedicularis lutescens subsp. lutescens,35.86,104.2 +Pedicularis lutescens subsp. ramosa,27.82308,99.706013 +Pedicularis lyrata,34.689722,99.6675 +Pedicularis macilenta,27.42,101.5 +Pedicularis macrorhyncha,27.82308,99.706013 +Pedicularis macrosiphon,29.98,101.92 +Pedicularis maxonii,30.37,102.82 +Pedicularis mayana,26.901731,98.869207 +Pedicularis megalantha,27.97,87.22 +Pedicularis megalochila var. ligulata,29.000343,101.507299 +Pedicularis megalochila var. megalochila,29.000343,101.507299 +Pedicularis melampyriflora,32.071667,97.045278 +Pedicularis membranacea,29.914155,102.234618 +Pedicularis merrilliana,29.7108,98.0025 +Pedicularis metaszetschuanica,31.7061,102.314 +Pedicularis meteororhyncha,35.86,104.2 +Pedicularis micrantha,35.86,104.2 +Pedicularis microcalyx,29.9,94.87 +Pedicularis microchila,35.86,104.2 +Pedicularis minima,31.48,102.07 +Pedicularis minutilabris,32.2089,102.6164 +Pedicularis mollis,0,0 +Pedicularis monbeigiana,35.86,104.2 +Pedicularis moupinensis,28.94,102.249 +Pedicularis muscicola,34.56,110.09 +Pedicularis muscoides var. muscoides,29.77,84.03 +Pedicularis muscoides var. rosea,31.9,102.22 +Pedicularis mussotii var. lophocentra,27.42,101.5 +Pedicularis mussotii var. mussotii,28.93,99.79 +Pedicularis mussotii var. mutata,28.93,99.79 +Pedicularis mychophila,29.03,92.33 +Pedicularis neolatituba,31.48,102.07 +Pedicularis nyalamensis,30.29,81.17 +Pedicularis nyingchiensis,29.63,94.4 +Pedicularis obscura,35.86,104.2 +Pedicularis odontophora,35.86,104.2 +Pedicularis oederi subsp. multipinna,30.36,102.81 +Pedicularis oederi subsp. oederi,0,0 +Pedicularis oederi subsp. sinensis,34.469167,100.3925 +Pedicularis oligantha,30.233873,119.724733 +Pedicularis oliveriana,29.73797,103.231884 +Pedicularis omiiana,30.511499,103.481974 +Pedicularis orthocoryne,24.976725,101.487417 +Pedicularis oxycarpa,27.4633,99.9133 +Pedicularis paiana,30.99,102.36 +Pedicularis pantlingii subsp. pantlingii,35.86,104.2 +Pedicularis pantlingii subsp. chimiliensis,35.86,104.2 +Pedicularis paxiana,31.1661,97.3006 +Pedicularis pectinatiformis,33.000556,97.328889 +Pedicularis pentagona,27.82308,99.706013 +Pedicularis petitmenginii,31.9297,102.657 +Pedicularis pheulpinii supsp. pheulpinii,34.3342,100.509 +Pedicularis pilostachya,31.0778,96.9478 +Pedicularis pinetorum,28.48611,98.911543 +Pedicularis plicata subsp. apiculata,31.712092,88.118532 +Pedicularis plicata subsp. luteola,31.712092,88.118532 +Pedicularis plicata var. plicata,28.48611,98.911543 +Pedicularis polygaloides,27.93,101.28 +Pedicularis polyodonta,30.055305,101.96483 +Pedicularis praeruptorum,35.86,104.2 +Pedicularis prainiana,29.6111,94.6517 +Pedicularis princeps,30.368117,102.81464 +Pedicularis przewalskii subsp. australis,28.48611,98.911543 +Pedicularis przewalskii subsp. hirsuta,35.420833,99.466944 +Pedicularis przewalskii subsp. microphyton,30.073745,101.804138 +Pedicularis przewalskii subsp. przewalskii,35.420833,99.466944 +Pedicularis pseudocephalantha,28.48611,98.911543 +Pedicularis pseudocurvituba,37.33,100.13 +Pedicularis pseudoingens,28.48611,98.911543 +Pedicularis pseudomelampyriflora,30.055305,101.96483 +Pedicularis pseudomuscicola,29.16,107.1 +Pedicularis pseudosteiningeri,28.932073,99.79929 +Pedicularis pseudoversicolor,28.48611,98.911543 +Pedicularis pygmaea,34.92,98.18 +Pedicularis quxiangensis,35.86,104.2 +Pedicularis ramosissima,0,0 +Pedicularis recurva,30.055305,101.96483 +Pedicularis remotiloba,35.86,104.2 +Pedicularis reptans,31.712092,88.118532 +Pedicularis resupinata subsp. resupinata,25.60168,110.585686 +Pedicularis retingensis,31.712092,88.118532 +Pedicularis revilabris,35.86,104.2 +Pedicularis rex subsp. lipskyana,25.584234,100.222124 +Pedicularis rex subsp. parva,27.901518,99.638107 +Pedicularis rex subsp. pseudocyathus,26.679722,106.33697 +Pedicularis rex subsp. rex,27.901518,99.638107 +Pedicularis rex subsp. zayuensis,27.901518,99.638107 +Pedicularis rhinanthoides subsp. labellata,32.637983,103.59895 +Pedicularis rhinanthoides subsp. rhinanthoides,32.075556,97.065278 +Pedicularis rhinanthoides subsp. tibetica,28.7464,100.269 +Pedicularis rhizomatosa,31.712092,88.118532 +Pedicularis rhodotricha,29.037008,100.298406 +Pedicularis rhynchodonta,29.037008,100.298406 +Pedicularis rhynchotricha,30.005,93.968 +Pedicularis rigida,23.605727,104.337169 +Pedicularis rizhaoensis,28.93,99.79 +Pedicularis roborowskii,36.63,101.2 +Pedicularis robusta,28.63,92.22 +Pedicularis rotundifolia,29.22,94.22 +Pedicularis roylei subsp. megalantha,31.41,95.59 +Pedicularis roylei subsp. roylei,31.41,95.59 +Pedicularis roylei subsp. shawii,27.740736,98.66582 +Pedicularis rudis,36.92,101.32 +Pedicularis rupicola subsp. rupicola,29.1339,100.043 +Pedicularis rupicola subsp. zambalensis,29.1239,99.9967 +Pedicularis salicifolia,43.753,128.163 +Pedicularis salviiflora var. leiocarpa,35.86,104.2 +Pedicularis salviiflora var. salviiflora,35.86,104.2 +Pedicularis schizorrhyncha,35.86,104.2 +Pedicularis scolopax,32.927222,97.266667 +Pedicularis semitorta,34.72,104.89 +Pedicularis sherriffii,31.712092,88.118532 +Pedicularis sigmoidea,35.86,104.2 +Pedicularis sima,31.13,97.18 +Pedicularis siphonantha var. delavayi,29.1339,100.043 +Pedicularis siphonantha var. siphonantha,27.930353,99.615509 +Pedicularis smithiana,29.2189,101.516 +Pedicularis sorbifolia,48.82,121.69 +Pedicularis souliei,31.725,100.744 +Pedicularis sphaerantha,29.58,94.97 +Pedicularis spicata,43.852,127.679 +Pedicularis steiningeri,30.0636,100.771 +Pedicularis stenocorys subsp. melanotricha,32.07,102.98 +Pedicularis stenocorys subsp. stenocorys,30.05,101.96 +Pedicularis stenotheca,31.712092,88.118532 +Pedicularis streptorhyncha,30.93,102.95 +Pedicularis striata,0,0 +Pedicularis strobilacea,28.48611,98.911543 +Pedicularis stylosa,28.17,85.98 +Pedicularis subulatidens,31.712092,88.118532 +Pedicularis superba,27.82308,99.706013 +Pedicularis szetschuanica subsp. anastomosans,31.8,98.58 +Pedicularis szetschuanica subsp. latifolia,30.36,102.81 +Pedicularis szetschuanica subsp. szetschuanica,31.8,98.58 +Pedicularis takpoensis,31.712092,88.118532 +Pedicularis tapaoensis,30.055305,101.96483 +Pedicularis tatsienensis,28.573056,99.813889 +Pedicularis tayloriana,31.712092,88.118532 +Pedicularis tenacifolia,31.712092,88.118532 +Pedicularis tenera,31.87,99.12 +Pedicularis tenuicaulis,26.998139,100.200667 +Pedicularis tenuisecta,26.87,100.23 +Pedicularis tenuituba,30.28,99.52 +Pedicularis ternata,36.92,101.32 +Pedicularis thamnophila subsp. cupuliformis,27.93,101.28 +Pedicularis thamnophila subsp. thamnophila,27.82308,99.706013 +Pedicularis tibetica,28.647167,98.610554 +Pedicularis tomentosa,35.86,104.2 +Pedicularis tongolensis,31.8,92.8283 +Pedicularis torta,31.82,108.62 +Pedicularis triangularidens subsp. chrysosplenioides,31.48,102.07 +Pedicularis triangularidens subsp. triangularidens,30.368117,102.81464 +Pedicularis trichocymba,30.1711,97.3336 +Pedicularis trichoglossa,35.86,104.2 +Pedicularis trichomata,31.5,98.22 +Pedicularis tricolor var. aequiretusa,27.82308,99.706013 +Pedicularis tricolor var. tricolor,27.82308,99.706013 +Pedicularis tristis,34.588611,100.557778 +Pedicularis tsaii,26.901731,98.869207 +Pedicularis tsarungensis,31.712092,88.118532 +Pedicularis tsekouensis,35.86,104.2 +Pedicularis umbelliformis,27.82308,99.706013 +Pedicularis urceolata,30.055305,101.96483 +Pedicularis variegata,27.92,101.27 +Pedicularis verbenifolia,35.86,104.2 +Pedicularis veronicifolia,25.012526,102.700013 +Pedicularis verticillata subsp. tangutica,36.36,101.448 +Pedicularis verticillata subsp. verticillata,0,0 +Pedicularis vialii,35.86,104.2 +Pedicularis violascens,43.81,87.6 +Pedicularis wallichii,27.129196,100.235283 +Pedicularis wardii,27.099444,98.872222 +Pedicularis weixiensis,27.177166,99.28717 +Pedicularis wilsonii,26.56023,100.17643 +Pedicularis xiangchengensis,28.93,99.79 +Pedicularis yanyuanensis,27.42,101.5 +Pedicularis yui var. ciliata,35.86,104.2 +Pedicularis yui var. yui,35.86,104.2 +Pedicularis yunnanensis,25.7,100.083 +Pedicularis zayuensis,28.66,97.46 +Pedicularis zhongdianensis,27.82308,99.706013 +Phtheirospermum japonicum,26.417778,110.8 +Phtheirospermum tenuisectum,35.86,104.2 +Pterygiella bartschioides,35.86,104.2 +Pterygiella cylindrica,27.928607,101.279419 +Pterygiella duclouxii,25.012526,102.700012 +Pterygiella nigrescens,24.9936,102.459 +Siphonostegia chinensis,44.086,128.867 +Striga masuria,32.08,118.27 +Xizangia serrata,29.85,95.76 +Pinguicula alpina,34.28,107.75 +Utricularia aurea,26.32,116.34 +Utricularia australis,43.828,128.706 +Utricularia brachiata,28.48611,98.911543 +Utricularia gibba,21.910292,101.265173 +Utricularia graminifolia,22.54,114.05 +Utricularia salwinensis,35.86,104.2 +Utricularia scandens,0,0 +Utricularia stellaris,29.7692,95.6854 +Utricularia striatula,23.03,112.45 +Utricularia vulgaris,39.71,115.83 +Barleria cristata,26.257465,103.105257 +Barleria integrisepala,27.92,101.27 +Cystacanthus affinis,27.928607,101.279419 +Dicliptera chinensis,32.1,114.08 +Dicliptera elegans,30.05,101.96 +Hypoestes triflora,35.86,104.2 +Isoglossa collina,35.86,104.2 +Justicia albovelata,26.11116,99.951049 +Justicia procumbens,26.565278,118.754167 +Justicia xerobatica,36.519977,103.891767 +Justicia xylopoda,25.584234,100.222124 +Justicia yunnanensis,23.605727,104.337169 +Pararuellia delavayana,35.86,104.2 +Peristrophe yunnanensis,25.584234,100.222124 +Phlogacanthus curviflorus,21.934011,101.260734 +Phlogacanthus pubinervius,35.86,104.2 +Strobilanthes affinis,24.819877,106.511936 +Strobilanthes aprica,23.721633,106.843575 +Strobilanthes atropurpurea var. atropurpurea,0,0 +Strobilanthes capitata,29.016667,107 +Strobilanthes extensa,29.32,95.33 +Strobilanthes forrestii,27.928607,101.279419 +Strobilanthes helicta,29.32,95.33 +Strobilanthes henryi,27.936052,98.652168 +Strobilanthes inflata var. gongshanensis,27.740736,98.66582 +Strobilanthes lachenensis,28.85,85.29 +Strobilanthes mastersii,29.32,95.33 +Strobilanthes medogensis,30.0092,94.9669 +Strobilanthes nemorosa,27.740736,98.66582 +Strobilanthes oresbia,28.661276,97.466916 +Strobilanthes penstemonoides,26.67,106.33 +Strobilanthes versicolor,28.85,85.29 +Strobilanthes yunnanensis,26.466667,111.316667 +Thunbergia coccinea,35.86,104.2 +Thunbergia fragrans,25.7,104.46 +Catalpa tibetica,35.86,104.2 +Incarvillea altissima,29.65,91.12 +Incarvillea arguta,27.191311,100.112877 +Incarvillea beresowskii,31.49,98.21 +Incarvillea compacta,32.2997,96.5414 +Incarvillea delavayi,29.72,98.8 +Incarvillea forrestii,27.079451,100.258446 +Incarvillea lutea,28.6003,100.287 +Incarvillea mairei var. grandiflora,32.9272,97.2667 +Incarvillea mairei var. mairei,26.876096,100.229945 +Incarvillea sinensis var. przewalskii,29.63,99.01 +Incarvillea sinensis var. sinensis,29.63,99.01 +Incarvillea younghusbandii,0,0 +Radermachera yunnanensis,35.86,104.2 +Phyla nodiflora,23.22,108.22 +Verbena officinalis,31.82,108.62 +Helwingia chinensis var. chinensis,31.391944,102.925278 +Helwingia chinensis var. crenata,32.144677,110.712211 +Helwingia himalaica,29.039409,110.484279 +Helwingia japonica var. hypoleuca,32.144677,110.712211 +Helwingia japonica var. japonica,29.924953,110.674911 +Helwingia japonica var. papillosa,29.73797,103.231884 +Ilex atrata var. wangii,35.86,104.2 +Ilex bioritsensis,27.44164,104.873642 +Ilex centrochinensis,25.39996,112.948819 +Ilex chartaceifolia var. chartaceifolia,24.976725,101.487417 +Ilex ciliospinosa,32.055645,118.79774 +Ilex corallina var. corallina,25.464684,99.54124 +Ilex cyrtura,35.86,104.2 +Ilex delavayi var. delavayi,35.86,104.2 +Ilex dicarpa,29.32,95.33 +Ilex dipyrena,24.976725,101.487417 +Ilex forrestii var. forrestii,27.78,98.55 +Ilex fragilis,35.86,104.2 +Ilex franchetiana var. franchetiana,25.6739,98.6606 +Ilex georgei,35.86,104.2 +Ilex hookeri,35.86,104.2 +Ilex intricata,29.32,95.33 +Ilex longecaudata var. longecaudata,27.7283,98.3828 +Ilex macrostigma,26.56023,100.17643 +Ilex mamillata,24.698913,102.114347 +Ilex manneiensis,24.615701,100.709786 +Ilex medogensis,29.3253,95.333197 +Ilex melanotricha,28.66,97.46 +Ilex micrococca,30.353794,119.436458 +Ilex micropyrena,35.86,104.2 +Ilex nothofagifolia,35.86,104.2 +Ilex pernyi,32.435432,105.843358 +Ilex perryana,35.86,104.2 +Ilex polyneura,23.880344,100.092755 +Ilex pubigera,29.03,114.57 +Ilex punctatilimba,27.177166,99.28717 +Ilex rockii,28.48611,98.911543 +Ilex rotunda,21.868056,111.348611 +Ilex serrata,29.496119,103.398589 +Ilex sikkimensis,35.86,104.2 +Ilex sublongecaudata,35.86,104.2 +Ilex subrugosa,29.49,103.39 +Ilex szechwanensis var. szechwanensis,35.86,104.2 +Ilex triflora var. triflora,25.9625,98.8261 +Ilex umbellulata,22.697654,100.860736 +Ilex venulosa var. venulosa,24.8297,98.7647 +Ilex wardii,35.86,104.2 +Ilex xizangensis,29.32483,95.326681 +Ilex yuana,29.32,95.33 +Ilex yunnanensis var. yunnanensis,27.12,121.47 +Adenophora capillaris subsp. capillaris,23.763342,98.82524 +Adenophora coelestis,35.86,104.2 +Adenophora himalayana subsp. alpina,31.62,99.99 +Adenophora himalayana subsp. himalayana,43.15,81.12 +Adenophora jasionifolia,0,0 +Adenophora khasiana,27.7386,98.3489 +Adenophora liliifolioides,28.7672,99.87 +Adenophora lobophylla,30.87,101.89 +Adenophora potaninii subsp. potaninii,32.053,102.741 +Adenophora potaninii var. bockiana,31.4753,103.2172 +Adenophora stenanthina subsp. sylvatica,0,0 +Adenophora stenanthina var. crispata,33.766667,99.433889 +Adenophora stenanthina var. stenanthina,33.766667,99.433889 +Adenophora stricta subsp. aurita,33.26,104.23 +Adenophora stricta subsp. confusa,23.605727,104.337169 +Asyneuma chinense,35.86,104.2 +Asyneuma fulgens,28.85,85.29 +Campanula aristata,32.49,80.09 +Campanula calcicola,29.037008,100.298406 +Campanula cana,31.47,79.8 +Campanula chinensis,35.86,104.2 +Campanula chrysospleniifolia,43.899,88.121 +Campanula crenulata,27.42,101.5 +Campanula delavayi,27.92,101.27 +Campanula glomeratoides,29.85,95.76 +Campanula immodesta,28.93,85.4 +Campanula nakaoi,28.85,85.29 +Campanula pallida,35.86,104.2 +Campanula yunnanensis,25.670153,99.958012 +Campanumoea inflata,29.32,95.33 +Campanumoea javanica subsp. japonica,24.175587,110.235565 +Codonopsis affinis,27.82308,99.706013 +Codonopsis alpina,35.86,104.2 +Codonopsis benthamii,32,90 +Codonopsis bhutanica,28,91.95 +Codonopsis bulleyana,27.42,100.17 +Codonopsis canescens,32.120833,97.035 +Codonopsis chlorocodon,28.932073,99.79929 +Codonopsis clematidea,38.116667,76.133333 +Codonopsis convolvulacea subsp. forrestii,26.968056,100.181389 +Codonopsis convolvulacea subsp. vinciflora,28.48611,98.911543 +Codonopsis cordifolioidea,35.86,104.2 +Codonopsis deltoidea,29.49,103.39 +Codonopsis dicentrifolia,28.85,85.29 +Codonopsis foetens subsp. foetens,28.484444,98.948889 +Codonopsis foetens subsp. nervosa,28.484444,98.948889 +Codonopsis gombalana,35.86,104.2 +Codonopsis henryi,30.21,99.3 +Codonopsis levicalyx,25.13638,102.74055 +Codonopsis meleagris,27,100.211944 +Codonopsis micrantha,23.363,104.250727 +Codonopsis pianmaensis,35.86,104.2 +Codonopsis pilosula subsp. handeliana,35.86,104.2 +Codonopsis pilosula subsp. tangshen,29.243579,113.814207 +Codonopsis pilosula var. pilosula,34.04,104.39 +Codonopsis purpurea,25.584234,100.222124 +Codonopsis rosulata,27.42,101.5 +Codonopsis rotundifolia,42.030362,128.046581 +Codonopsis subglobosa,28.537778,99 +Codonopsis subscaposa,31.178803,102.758121 +Codonopsis subsimplex,27.38,88.83 +Codonopsis thalictrifolia,29.63,94.36 +Codonopsis tubulosa,28.966068,102.771746 +Codonopsis viridiflora,32.58333,103.83333 +Codonopsis viridis,42.030362,128.046581 +Cyananthus chungdianensis,25.584234,100.222124 +Cyananthus cordifolius,28.85,85.29 +Cyananthus delavayi,26.144167,99.925278 +Cyananthus fasciculatus,31.08,103.26 +Cyananthus flavus subsp. flavus,26.876096,100.229945 +Cyananthus formosus,28.5858,99.8372 +Cyananthus hookeri,35.86,104.2 +Cyananthus incanus,35.86,104.2 +Cyananthus inflatus,35.86,104.2 +Cyananthus lichiangensis,30.881715,102.939847 +Cyananthus lobatus,35.86,104.2 +Cyananthus longiflorus,27.1,100.183333 +Cyananthus macrocalyx subsp. macrocalyx,28.401091,99.451424 +Cyananthus macrocalyx subsp. spathulifolius,32.71667,102.68333 +Cyananthus microphyllus,28.55,85.3 +Cyananthus pedunculatus,27.48,88.9 +Cyananthus sericeus,29.03,100.3 +Cyananthus sherriffii,29.04,93.07 +Cyclocodon celebicus,28.66,97.46 +Homocodon pedicellatus,29.6033,102.073 +Leptocodon gracilis,27.928607,101.279419 +Leptocodon hirsutus,35.86,104.2 +Lobelia alsinoides,22.54,114.05 +Lobelia bibetica,30.35,119.94 +Lobelia colorata,27.69,108.85 +Lobelia doniana,28.85,85.29 +Lobelia erectiuscula,28,91.95 +Lobelia montana,26.901731,98.869207 +Lobelia nummularia,21.68,101.31 +Lobelia pleotricha,25.5278,98.6664 +Lobelia pyramidalis,24.39,106.63 +Lobelia reflexa,29.32,95.33 +Lobelia sequinii,25.4344,98.8256 +Lobelia sessilifolia,45.354,129.542 +Peracarpa carnosa,28.80496,110.25858 +Platycodon grandiflorus,44.086,128.867 +Wahlenbergia marginata,24.983333,112.833333 +Menyanthes trifoliata,26.543493,106.761103 +Nymphoides indica,34.8,117.12 +Nymphoides peltata,44.583,129.6 +Acmella paniculata,22.67,103.92 +Adenocaulon himalaicum,35.86,104.2 +Adenocaulon lavenia,29.49,103.39 +Adenostemma lavenia var. latifolium,35.86,104.2 +Ainsliaea aptera,30.1,95.12 +Ainsliaea crassifolia,26.876096,100.229945 +Ainsliaea fulvipes,25.7,100.1833 +Ainsliaea henryi,35.86,104.2 +Ainsliaea latifolia,29.03,93.92 +Ainsliaea macrocephala,29.914155,102.234618 +Ainsliaea mairei,27.897245,102.265266 +Ainsliaea reflexa,27.177222,98.755 +Ajania brachyantha,28.67,87.12 +Ajania breviloba,28.713041,99.286333 +Ajania fastigiata,37.503189,101.760864 +Ajania fruticulosa,36.075898,103.757243 +Ajania khartensis,34.365,100.193 +Ajania myriantha,29.565,94.5436 +Ajania nematoloba,36.1933,100.715 +Ajania nitida,30.055305,101.96483 +Ajania nubigena,28.85,85.29 +Ajania potaninii,30.05389,101.95667 +Ajania przewalskii,32.637983,103.59895 +Ajania purpurea,29.65,91.12 +Ajania qiraica,38.185489,100.243017 +Ajania quercifolia,27.928607,101.279419 +Ajania ramosa,32.3169,96.6267 +Ajania remotipinna,33.976206,107.249372 +Ajania salicifolia,27.928607,101.279419 +Ajania scharnhorstii,33.38,79.73 +Ajania tenuifolia,38.185489,100.243017 +Ajania tibetica,29.037008,100.298406 +Ajania trilobata,36.21,79.3 +Ajaniopsis penicilliformis,29.68,89.09 +Alfredia acantholepis,43.21,81.83 +Allardia glabra,29.77,84.03 +Allardia huegelii,30.3,81.17 +Allardia lasiocarpa,28.48611,98.911543 +Allardia nivea,32,90 +Allardia stoliczkae,42.6,85.5 +Allardia tomentosa,31.15,81.33 +Allardia vestita,30.35,90.57 +Anaphalis acutifolia,28.85,85.29 +Anaphalis aureopunctata var. atrata,35.86,104.2 +Anaphalis aureopunctata var. aureopunctata,24.175587,110.235565 +Anaphalis batangensis,30,99.1 +Anaphalis bicolor var. bicolor,27.2822,100.85195 +Anaphalis bicolor var. kokonorica,35.20256,102.521732 +Anaphalis bicolor var. subconcolor,36.519977,103.891767 +Anaphalis bulleyana,29.6033,102.073 +Anaphalis busua,35.86,104.2 +Anaphalis chlamydophylla,27.25,100.17 +Anaphalis chungtienensis,27.82308,99.706013 +Anaphalis cinerascens var. cinerascens,28.40369,99.449722 +Anaphalis contorta,24.433739,98.588637 +Anaphalis corymbifera,28.40369,99.449722 +Anaphalis delavayi,35.86,104.2 +Anaphalis deserti,30.29,81.17 +Anaphalis dioica,28.40369,99.449722 +Anaphalis elegans,29.914155,102.234618 +Anaphalis flavescens,33.76,106.08 +Anaphalis gracilis var. aspera,32.2792,96.2731 +Anaphalis gracilis var. gracilis,28.48611,98.911543 +Anaphalis hancockii,30.5854,108.91005 +Anaphalis lactea,33.76,106.08 +Anaphalis larium,28.48611,98.911543 +Anaphalis latialata,32.1028,97.0419 +Anaphalis likiangensis,26.56023,100.17643 +Anaphalis margaritacea var. cinnamomea,35.86,104.2 +Anaphalis margaritacea var. japonica,29.99,94.87 +Anaphalis margaritacea var. margaritacea,35.86,104.2 +Anaphalis muliensis,28.596944,99.867778 +Anaphalis nepalensis var. corymbosa,29.7786,94.7247 +Anaphalis nepalensis var. monocephala,35.86,104.2 +Anaphalis nepalensis var. nepalensis,29.6114,94.6542 +Anaphalis oxyphylla,35.86,104.2 +Anaphalis pachylaena,28.262715,103.571742 +Anaphalis pannosa,35.86,104.2 +Anaphalis plicata,29.7408,91.1164 +Anaphalis porphyrolepis,29.9,94.87 +Anaphalis rhododactyla,35.86,104.2 +Anaphalis souliei,30.0403,101.838 +Anaphalis spodiophylla,29.03,93.9 +Anaphalis stenocephala,28.661276,97.466916 +Anaphalis suffruticosa,26.876096,100.229945 +Anaphalis surculosa,30.055305,101.96483 +Anaphalis szechuanensis,28.713041,99.286333 +Anaphalis tibetica,29.6161,94.6222 +Anaphalis triplinervis,28.85,85.29 +Anaphalis virens,29.0725,99.6322 +Anaphalis virgata,38.95,75.17 +Anaphalis viridis var. acaulis,30.91,102.54 +Anaphalis viridis var. viridis,36.519977,103.891767 +Anaphalis xylorhiza,29.1508,85.9819 +Anaphalis yunnanensis,29.1031,99.6319 +Arctium lappa,28.040278,98.595556 +Artemisia abaensis,28.48611,98.911543 +Artemisia anethifolia,44.91,129.09 +Artemisia anethoides,37.47,102.89 +Artemisia annua,39.92,116.42 +Artemisia argyi,36.519977,103.891767 +Artemisia argyrophylla var. brevis,42.94,89.18 +Artemisia aschurbajewii,43.15,81.12 +Artemisia austriaca,46.52,89.47 +Artemisia baimaensis,34.047,104.393 +Artemisia calophylla,27.48,88.9 +Artemisia campbellii,27.48,88.9 +Artemisia chingii,27.83138,99.71166 +Artemisia conaensis,30.05,101.96 +Artemisia dalai-lamae,36.053889,100.323889 +Artemisia demissa,32.49,80.09 +Artemisia desertorum var. desertorum,30.93,88.7 +Artemisia desertorum var. foetida,31.39,90 +Artemisia desertorum var. tongolensis,36.5875,100.490556 +Artemisia divaricata,30.29,108.93 +Artemisia dracunculus var. changaica,30.65,97.57 +Artemisia dracunculus var. pamirica,42.32,86.38 +Artemisia dracunculus var. qinghaiensis,47.31,130.28 +Artemisia dracunculus var. tonglensis,43.48,82.23 +Artemisia dracunculus var. turkestanica,43.48,82.23 +Artemisia dubia var. dubia,25.107246,108.315175 +Artemisia dubia var. subdigitata,22.01071,100.799775 +Artemisia duthreuil-de-rhinsi,35.261667,98.9825 +Artemisia eriopoda var. eriopoda,37.28,114.51 +Artemisia erlangshanensis,30.06,102.75 +Artemisia forrestii,24.976725,101.487417 +Artemisia frigida var. atropurpurea,35.58,100.75 +Artemisia frigida var. frigida,37.35,85.65 +Artemisia fulgens,29.88,93.24 +Artemisia gansuensis var. gansuensis,36.57,107.3 +Artemisia gmelinii,34.737778,98.111667 +Artemisia gyangzeensis,28.91,89.6 +Artemisia gyitangensis,34.047,104.393 +Artemisia halodendron,42.38,122.53 +Artemisia hedinii,28.48611,98.911543 +Artemisia imponens,30.05,96.91 +Artemisia indica var. indica,31.0833,99.3189 +Artemisia japonica,28.04138,98.595 +Artemisia jilongensis,28.85,85.29 +Artemisia kangmarensis,28.55,89.68 +Artemisia kuschakewiczii,46.79,85.73 +Artemisia lactiflora var. lactiflora,29.49,103.39 +Artemisia lavandulaefolia,26.471255,116.013146 +Artemisia leucophylla,43.852,127.679 +Artemisia macrocephala,29.77,84.03 +Artemisia mattfeldii var. etomentosa,30.05,101.96 +Artemisia mattfeldii var. mattfeldii,36.519977,103.891767 +Artemisia minor,29.77,84.03 +Artemisia mongolica,40,116.35 +Artemisia moorcroftiana,29.914155,102.234618 +Artemisia myriantha var. myriantha,28.48611,98.911543 +Artemisia myriantha var. pleiocephala,30.055305,101.96483 +Artemisia nanschanica,34.5942,99.8392 +Artemisia nujianensis,28.71,99.28 +Artemisia occidentalisichuanensis,34.047,104.393 +Artemisia ordosica,38.28,109.73 +Artemisia orientali-hengduangensis,28.48611,98.911543 +Artemisia parviflora,27.48,88.9 +Artemisia persica,29.65,91.12 +Artemisia pewzowii,33.000556,97.328889 +Artemisia phaeolepis,36.97,103.14 +Artemisia phyllobotrys,30.14,101.86 +Artemisia prattii,29.65,91.05 +Artemisia princeps,30.996299,103.612264 +Artemisia przewalskii,36.316067,101.86665 +Artemisia robusta,27.740736,98.66582 +Artemisia roxburghiana,26.43,110.85 +Artemisia rupestris,44.31,86.31 +Artemisia rutifolia,44.033333,88.35 +Artemisia sacrorum,32.141944,96.5725 +Artemisia saposhnikovi,34.047,104.393 +Artemisia scoparia,40.02,116.21 +Artemisia sieversiana,32.055645,118.79774 +Artemisia sinensis,28.48611,98.911543 +Artemisia smithii,32.58333,103.83333 +Artemisia speciosa,31.8,98.58 +Artemisia stracheyi,32.3,84.06 +Artemisia stricta var. diffusa,34,102.07 +Artemisia stricta var. stricta,28.66,97.46 +Artemisia succulentoides,29.65,91.12 +Artemisia sylvatica,40.21,116.17 +Artemisia tafelii,29.32,95.33 +Artemisia tainingensis var. nitida,31.72,100.719 +Artemisia tainingensis var. tainingensis,31.72,100.719 +Artemisia tangutica,30.05389,101.95667 +Artemisia thellungiana,22.653799,108.310905 +Artemisia tournefortiana,46.52,89.47 +Artemisia tridactyla,36.519977,103.891767 +Artemisia velutina,28.66,97.46 +Artemisia verbenacea,33.15,106.67 +Artemisia verlotorum,33.32,106.15 +Artemisia vestita,30.05,101.96 +Artemisia vexans,29.7008,91.4303 +Artemisia viscida,27.928607,101.279419 +Artemisia viscidissima,34.047,104.393 +Artemisia vulgaris var. vulgaris,39.78,78.54 +Artemisia vulgaris var. xizangensis,31.48,93.68 +Artemisia waltonii,33.0006,97.3289 +Artemisia wellbyi,30.1711,97.3336 +Artemisia xerophytica,38.43,100.81 +Artemisia xigazeensis,29.65,91.12 +Artemisia yadongensis,27.48,88.9 +Artemisia younghusbandii,36.519977,103.891767 +Artemisia youngii,29.67,97.85 +Artemisia yunnanensis,35.86,104.2 +Artemisia zayuensis,28.66,97.46 +Artemisia zhongdianensis,29.1031,99.6319 +Askellia flexuosa,36.487917,100.470293 +Askellia karelinii,38.58,102.97 +Askellia lactea,30.93,88.7 +Askellia pygmaea,29.27,88.88 +Aster ageratoides var. holophyllus,30.262656,120.105112 +Aster albescens var. albescens,27.128967,100.23233 +Aster albescens var. glandulosus,29.85,95.76 +Aster albescens var. levissimus,27.928607,101.279419 +Aster albescens var. limprichtii,27.37,102.53 +Aster albescens var. pilosus,29.63,94.36 +Aster albescens var. salignus,27.82308,99.706013 +Aster alpinus var. alpinus,43.15,81.12 +Aster alpinus var. diversisquamus,43.15,81.12 +Aster altaicus,36.06667,120.33334 +Aster argyropholis var. argyropholis,30.911944,102.546111 +Aster asteroides,28.91,89.6 +Aster auriculatus,29.49,103.39 +Aster barbellatus,28.85,85.29 +Aster batangensis var. batangensis,27.92,101.27 +Aster bietii,25,102 +Aster bipinnatisectus,29.969,93.694 +Aster boweri,28.37,87.77 +Aster brachytrichus,27.42,101.5 +Aster brevis,28.388889,99.0275 +Aster bulleyanus,27.177166,99.28717 +Aster crenatifolius,37.6,112.2 +Aster diplostephioides,30.055305,101.96483 +Aster dolichopodus,30.99,102.36 +Aster eligulatus,30.93,94.7 +Aster falcifolius,32.14,110.71 +Aster farreri,36.89,100.99 +Aster flaccidus subsp. flaccidus,28.48611,98.911543 +Aster flaccidus subsp. glandulosus,28.85,85.29 +Aster fulgidulus,29.63,94.36 +Aster fuscescens var. fuscescens,35.86,104.2 +Aster fuscescens var. oblongifolius,26.33,115.35 +Aster fuscescens var. scaberoides,35.86,104.2 +Aster gouldii,28.91,89.6 +Aster handelii,31.08,103.26 +Aster hersileoides,31.08,103.26 +Aster himalaicus,28.491111,98.939722 +Aster hololachnus,28.65,87.12 +Aster homochlamydeus,34.04,104.39 +Aster hypoleucus,29.13,92.57 +Aster indamellus,28.7,85.27 +Aster indicus var. indicus,36.06667,120.33334 +Aster ionoglossus,28.85,85.29 +Aster jeffreyanus,36.519977,103.891767 +Aster lanuginosus,28.93,99.79 +Aster latibracteatus,25.75,100.08 +Aster lavandulifolius,27.928607,101.279419 +Aster likiangensis,29.45,94.95 +Aster lingulatus,28.93,99.79 +Aster megalanthus,32.8,102.55 +Aster molliusculus,21.475834,101.56752 +Aster mongolicus,40.64,109.93 +Aster moupinsensis,38.073254,104.69114 +Aster neoelegans,27.48,88.9 +Aster oreophilus,28.403854,99.449692 +Aster platylepis,26.876096,100.229945 +Aster poliothamnus,34.75,100.22 +Aster polius,29.85,95.76 +Aster prainii,29.77,84.03 +Aster pseudosimplex,38.073254,104.69114 +Aster pycnophyllus,0,0 +Aster retusus,29.967,94.251 +Aster ruoqiangensis,36.42,94.9 +Aster salwinensis,27.928607,101.279419 +Aster semiprostratus,32.637983,103.59895 +Aster senecioides,27.92,101.27 +Aster setchuenensis,31.8,98.58 +Aster sikuensis,32.94,104.68 +Aster smithianus,26.43,110.85 +Aster souliei,30.055305,101.96483 +Aster stracheyi,35.86,104.2 +Aster techinensis,28.48611,98.911543 +Aster tientschwanensis,30.91,102.54 +Aster tongolensis,31.87,99.12 +Aster tricephalus,38.073254,104.69114 +Aster trichoneurus,28.48611,98.911543 +Aster trinervius subsp. ageratoides,36.2,120.58334 +Aster trinervius subsp. trinervius,30.592608,118.877245 +Aster tsarungensis,28.91,89.6 +Aster verticillatus,25.3839,102.733 +Aster vestitus,27.48,88.9 +Aster yunnanensis var. labrangensis,33.8958,99.6806 +Aster yunnanensis var. yunnanensis,36.519977,103.891767 +Asterothamnus centrali-asiaticus,38.6,89 +Asterothamnus fruticosus,43.810314,87.605163 +Bidens bipinnata,35.86,104.2 +Bidens cernua,38.28,109.73 +Bidens parviflora,41.81,126.91 +Bidens tripartita,31.82,108.62 +Blumea adenophora,25.584234,100.222124 +Blumea axillaris,22.60807,114.024437 +Blumea oxyodonta,23.473501,99.8277 +Blumea veronicifolia,29.49,103.39 +Bolocephalus saussureoides,31.712092,88.118532 +Brachanthemum pulvinatum,37.36,97.36 +Cacalia palmatisectus var. moupinensis,30.368117,102.81464 +Cancrinia lasiocarpa,38.93,100.46 +Cancrinia maximowiczii,34.6833,100.683 +Carduus acanthoides,39.83,116.26 +Carduus crispus,43.12,127 +Carpesium abrotanoides,26.627136,106.721161 +Carpesium cernuum,43.85,127.637 +Carpesium cordatum,35.86,104.2 +Carpesium humile,29.037008,100.298406 +Carpesium lipskyi,29.565,94.5436 +Carpesium minus,28.01666,98.61666 +Carpesium nepalense var. lanatum,35.86,104.2 +Carpesium nepalense var. nepalense,0,0 +Carpesium scapiforme,27.975,98.474722 +Carpesium tracheliifolium,0,0 +Carpesium triste,0,0 +Carpesium velutinum,0,0 +Cavea tanguensis,29.037008,100.298406 +Centipeda minima,43.896,126.921 +Chondrilla ambigua,44.02,89.59 +Chondrilla brevirostris,47.7,86.85 +Chondrilla laticoronata,44.43,84.91 +Chondrilla lejosperma,46.52,89.47 +Chondrilla ornata,0,0 +Chondrilla piptocoma,44.02,89.59 +Chrysanthemum chanetii,40.596136,116.621859 +Chrysanthemum glabriusculum,30.05,101.96 +Chrysanthemum hypargyreum,30.055305,101.96483 +Chrysanthemum lavandulifolium var. lavandulifolium,40.010196,116.307779 +Chrysanthemum lavandulifolium var. tomentellum,31.11,109.87 +Cicerbita auriculiformis,22.54,114.05 +Cicerbita azurea,43.15,81.12 +Cicerbita macrorrhiza var. macrorrhiza,23.65,113.67 +Cicerbita macrorrhiza var. saxatiliss,23.65,113.67 +Cicerbita roborowskii,28.1217,85.99 +Cicerbita zhenduoi,44.32,85.61 +Cirsium argyracanthum,33.38,79.73 +Cirsium arvense var. alpestre,44.43,84.67 +Cirsium arvense var. arvense,46.25,122.93 +Cirsium arvense var. integrifolium,40.33333,116.28333 +Cirsium botryodes,25.5,100.183 +Cirsium chlorolepis,0,0 +Cirsium eriophoroides,35.86,104.2 +Cirsium esculentum,38.9,75.2 +Cirsium fargesii,31.042327,110.340757 +Cirsium glabrifolium,28.85,85.29 +Cirsium handelii,30.06,102.75 +Cirsium henryi,35.86,104.2 +Cirsium interpositum,35.86,104.2 +Cirsium japonicum,25.22845,113.217309 +Cirsium leducii,24.07,114.17 +Cirsium leo,0,0 +Cirsium lidjiangense,28.262715,103.571742 +Cirsium noploshandelii,38.073254,104.69114 +Cirsium periacanthaceum,31.7256,100.744 +Cirsium semenowii,37.77,75.22 +Cirsium shansiense,35.86,104.2 +Cirsium souliei,29.8839,92.3328 +Cirsium subulariforme,35.86,104.2 +Cirsium verutum,27.48,88.9 +Cissampelopsis corifolia,29.32,95.33 +Cissampelopsis spelaeicola,23.605727,104.337169 +Cissampelopsis volubilis,25.25,110.05 +Conyza stricta var. pinnatifida,25.012526,102.700013 +Cosmos bipinnatus,0,0 +Cousinia caespitosa,39.71,75.25 +Cousinia lasiophylla,39.71,75.25 +Cousinia leiocephala,43.48,82.23 +Cousinia sclerolepis,28.0425,85.9856 +Cousinia thomsonii,30.29,81.17 +Crassocephalum crepidioides,24.8616,102.9585 +Cremanthodium angustifolium,29.037008,100.298406 +Cremanthodium arnicoides,28.85,85.29 +Cremanthodium bhutanicum,28,91.95 +Cremanthodium botryocephalum,27.624517,99.643997 +Cremanthodium brachychaetum,27.177166,99.28717 +Cremanthodium brunneopilosum,33.169951,97.106556 +Cremanthodium bulbilliferum,35.86,104.2 +Cremanthodium bupleurifolium,35.86,104.2 +Cremanthodium calcicola,27.82308,99.706013 +Cremanthodium campanulatum,27.624517,99.643997 +Cremanthodium chungdienense,27.82308,99.706013 +Cremanthodium conaense,28,91.95 +Cremanthodium cucullatum,25.584234,100.222124 +Cremanthodium cyclaminanthum,28.014161,102.842674 +Cremanthodium daochengense,27.928607,101.279419 +Cremanthodium decaisnei,29.7108,98.0025 +Cremanthodium delavayi,25.584234,100.222124 +Cremanthodium discoideum,37.503189,101.760864 +Cremanthodium dissectum,35.86,104.2 +Cremanthodium ellisii var. ellisii,37.503189,101.760864 +Cremanthodium ellisii var. ramosum,37.503189,101.760864 +Cremanthodium farreri,35.86,104.2 +Cremanthodium forrestii,35.86,104.2 +Cremanthodium glandulipilosum,30.93,88.7 +Cremanthodium glaucum,27.82308,99.706013 +Cremanthodium helianthus,31.65,100.32 +Cremanthodium humile,37.696892,101.489209 +Cremanthodium laciniatum,30.05,96.91 +Cremanthodium lineare var. lineare,30.99,102.36 +Cremanthodium lingulatum,29.63,94.36 +Cremanthodium microglossum,31.852663,96.424628 +Cremanthodium microphyllum,29.04,93.07 +Cremanthodium nanum,28.8164,99.2158 +Cremanthodium nepalense,27.97,87.2 +Cremanthodium nervosum,28.17,85.98 +Cremanthodium nobile,31.92061,102.56017 +Cremanthodium oblongatum,29.68,89.09 +Cremanthodium obovatum,30.1711,97.3336 +Cremanthodium palmatum,35.86,104.2 +Cremanthodium phyllodineum,35.86,104.2 +Cremanthodium pinnatifidum,27.98,87.17 +Cremanthodium pinnatisectum,35.86,104.2 +Cremanthodium potaninii,30.055305,101.96483 +Cremanthodium prattii,30.025,101.387 +Cremanthodium pseudo-oblongatum,28.65,87.12 +Cremanthodium puberulum,31.9272,96.4597 +Cremanthodium pulchrum,27.624517,99.643997 +Cremanthodium purpureifolium,28.85,85.29 +Cremanthodium reniforme,28.1194,85.9936 +Cremanthodium rhodocephalum,35.86,104.2 +Cremanthodium sino-oblongatum,27.82308,99.706013 +Cremanthodium smithianum,28.8992,100.286 +Cremanthodium spathulifolium,27.48,88.9 +Cremanthodium stenactinium,31.725,100.744 +Cremanthodium stenoglossum,33.3769,100.29 +Cremanthodium suave,27.928607,101.279419 +Cremanthodium thomsonii,29.32,95.33 +Cremanthodium trilobum,29.32,95.33 +Cremanthodium variifolium,35.86,104.2 +Cremanthodium yadongense,27.48,88.9 +Crepidiastrum denticulatum,36.251755,117.101021 +Crepidiastrum tenuifolium,40.070461,115.51477 +Crepis chrysantha,49.05,87.85 +Crepis crocea,33.33,105.6 +Crepis elongata,30.29,81.17 +Crepis flexuosa var. tenuifolia,46.67,123.51 +Crepis minuta,35.55,99.56 +Dichrocephala benthamii,35.86,104.2 +Dichrocephala chrysanthemifolia,27.0856,98.8667 +Dichrocephala integrifolia,35.86,104.2 +Diplazoptilon cooperi,28.7464,100.269 +Diplazoptilon picridifolium,27.177166,99.28717 +Dolomiaea calophylla,29.29,87.23 +Dolomiaea crispoundulata,35.86,104.2 +Dolomiaea edulis,28.66,97.46 +Dolomiaea forrestii,28.5719,99.8328 +Dolomiaea macrocephala,35.97,76.5 +Dolomiaea platylepis,27.928607,101.279419 +Dolomiaea salwinensis,35.86,104.2 +Dolomiaea souliei,30.881667,102.941389 +Dolomiaea wardii,29.75,91.15 +Doronicum altaicum,35.86,104.2 +Doronicum calotum,28.497222,98.956389 +Doronicum stenoglossum,32.77,96.67 +Dubyaea gombalana,35.86,104.2 +Dubyaea hispida,29.7786,94.7247 +Duhaldea cappa,22.597759,114.026453 +Duhaldea eupatorioides,35.86,104.2 +Duhaldea forrestii,27.82308,99.706013 +Duhaldea nervosa,35.86,104.2 +Duhaldea pterocaula,35.86,104.2 +Echinops gmelini,36.51998,103.89177 +Echinops humilis,39.46,75.99 +Echinops nanus,39.37,75.86 +Eclipta prostrata,39.999589,116.389217 +Erigeron acris subsp. acris,29.78,118.18 +Erigeron acris subsp. politus,42.33,127.28 +Erigeron annuus,30.27,120.17 +Erigeron bonariensis,25.17,110.35 +Erigeron breviscapus,27.44948,99.822464 +Erigeron canadensis,23.67,113.42 +Erigeron eriocalyx var. eriocalyx,37.07,115.67 +Erigeron eriocalyx var. glandulosus,37.07,115.67 +Erigeron himalajensis,28.66,97.46 +Erigeron kiukiangensis,35.86,104.2 +Erigeron krylovii,45.93,83.6 +Erigeron lanuginosus,28.66,97.46 +Erigeron leioreades,43.8,87.6 +Erigeron leucoglossus,23.67,113.42 +Erigeron multifolius,27.92,101.27 +Erigeron multiradiatus,28.66,97.46 +Erigeron oreades,37.07,115.67 +Erigeron patentisquama,29.0728,99.6756 +Erigeron porphyrolepis,29.85,95.76 +Erigeron pseudoseravschanicus,43.81,87.6 +Erigeron pseudotenuicaulis,28.15,100.84 +Erigeron purpurascens,30.05,101.96 +Erigeron schmalhausenii,39.46,75.99 +Erigeron sumatrensis,30.00839,122.196053 +Erigeron vicarius,27.104411,100.111773 +Eschenbachia blinii,35.86,104.2 +Eschenbachia japonica,24.696301,98.813698 +Eschenbachia muliensis,27.928607,101.279419 +Eupatorium heterophyllum,35.86,104.2 +Eupatorium japonicum,24.983333,112.833333 +Filago arvensis,44.02,89.58 +Formania mekongensis,28.71,99.28 +Galatella chromopappa,45.93,83.6 +Galinsoga parviflora,25.03,113.13 +Gerbera curvisquama,27.740736,98.66582 +Gerbera maxima,28.17,85.98 +Gerbera nivea,27.48,88.9 +Gerbera piloselloides,28.26,108.11 +Gnaphalium affine,35.86,104.2 +Gnaphalium chrysocephalum,27.92,101.27 +Gnaphalium flavescens,29.65,91.12 +Gnaphalium hypoleucum,35.86,104.2 +Gnaphalium stewartii,46.52,89.47 +Gnomophalium pulvinatum,29.32,95.33 +Gynura cusimbua,35.86,104.2 +Gynura japonica,35.86,104.2 +Helichrysum kashgaricum,39.15,75.95 +Hemisteptia lyrata,25.275758,110.289688 +Himalaiella deltoidea,29.6033,102.073 +Himalaiella qinghaiensis,35.0228,98.8606 +Hippolytia delavayi,27.098332,100.175 +Hippolytia desmantha,33.0606,97.1428 +Hippolytia glomerata,29.040508,90.920913 +Hippolytia gossypina,28.36,87.76 +Hippolytia kennedyi,29.14,92.59 +Hippolytia megacephala,0,0 +Hippolytia senecionis,30.29,81.17 +Hippolytia syncalathiformis,29.42,90.16 +Hippolytia tomentosa,33.0606,97.1428 +Hippolytia yunnanensis,35.86,104.2 +Inula helianthus-aquatilis,25.63,100.17 +Inula hookeri,35.86,104.2 +Inula japonica,39.9,116.4 +Inula racemosa,33.22,107.54 +Inula rhizocephala,43.83,81.17 +Inula salsoloides,39.52,109.36 +Inula sericophylla,25.7,100.117 +Ixeridium gracile,23.763342,98.82524 +Ixeris chinensis subsp. chinensis,27.93417,102.68139 +Ixeris chinensis subsp. versicolor,42.51,124.409 +Jurinea algida,39.71,75.25 +Jurinea kaschgarica,39.71,75.25 +Kaschgaria brachanthemoides,42.79,88.64 +Klasea centauroides subsp. strangulata,37.28,114.51 +Klasea procumbens,43.48,82.23 +Koelpinia linearis,31.47,79.8 +Lactuca dissecta,30.1023,95.1115 +Lactuca tatarica,47.617,87.917 +Lagenophora stipitata,23.9022,106.618742 +Laggera crispata,21.728834,101.585258 +Launaea polydichotoma,38.65,83.35 +Leibnitzia anandria,40.555482,115.886736 +Leibnitzia nepalensis,29.7014,92.2153 +Leibnitzia pusilla,40.555482,115.886736 +Leibnitzia ruficoma,28.48611,98.911543 +Leontopodium artemisiifolium,36.52,103.89167 +Leontopodium aurantiacum,29,93.98 +Leontopodium brachyactis,29.65,91.12 +Leontopodium calocephalum,28.5858,99.8372 +Leontopodium campestre,42.82,93.51 +Leontopodium dedekensii,35.86,104.2 +Leontopodium forrestianum,35.86,104.2 +Leontopodium franchetii,28.932073,99.79929 +Leontopodium haastioides,28.68333,90.45 +Leontopodium haplophylloides,34.15,102.57 +Leontopodium himalayanum,28.497222,98.956389 +Leontopodium jacotianum,27.824167,89.269165 +Leontopodium junpeianum,31.69139,102.32111 +Leontopodium leontopodioides,32.3169,96.6267 +Leontopodium monocephalum,28.45,85.92 +Leontopodium muscoides,28.66,97.46 +Leontopodium nanum,34.5808,99.4508 +Leontopodium niveum,30.05389,101.95667 +Leontopodium ochroleucum,35.97,77.05 +Leontopodium pusillum,38.073254,104.69114 +Leontopodium roseum,31.68115,103.853481 +Leontopodium sinense,35.86,104.2 +Leontopodium souliei,35.86,104.2 +Leontopodium stoechas var. stoechas,30,99.1 +Leontopodium stoloniferum,31.116667,101.133333 +Leontopodium stracheyi,35.86,104.2 +Leontopodium subulatum var. subulatum,25.012526,102.700013 +Leontopodium suffruticosum,31.5,98.22 +Leontopodium wilsonii,29.010101,114.412629 +Ligularia alatipes,26.876096,100.229945 +Ligularia alpigena,0,0 +Ligularia altaica,38.116667,76.133333 +Ligularia atkinsonii,28.85,85.29 +Ligularia atroviolacea,27.42,101.5 +Ligularia botryodes,34.04,104.39 +Ligularia brassicoides,31.905842,102.206261 +Ligularia caloxantha,28.262715,103.571742 +Ligularia chalybea,27.928607,101.279419 +Ligularia changiana,36.519977,103.891767 +Ligularia chimiliensis,29.63,94.36 +Ligularia confertiflora,27.82308,99.706013 +Ligularia cremanthodioides,27.82308,99.706013 +Ligularia curvisquama,28.48611,98.911543 +Ligularia cyathiceps,35.86,104.2 +Ligularia cymbulifera,28.6189,99.8214 +Ligularia cymosa,30.05,101.96 +Ligularia dentata,32.41306,111.00639 +Ligularia dictyoneura,29.1419,99.6497 +Ligularia discoidea,29.63,94.36 +Ligularia duciformis,28.96,102.104 +Ligularia dux var. dux,29.32,95.33 +Ligularia dux var. minima,29.32,95.33 +Ligularia euryphylla,27.778126,99.592171 +Ligularia franchetiana,26.441774,98.758278 +Ligularia ghatsukupa,28.85,85.29 +Ligularia hodgsonii,32.798079,110.691665 +Ligularia hookeri,30.055305,101.96483 +Ligularia kanaitzensis var. kanaitzensis,25.8667,100.033 +Ligularia kangtingensis,30.05,101.96 +Ligularia konkalingensis,28.27,103.57 +Ligularia lamarum,30.0153,101.859 +Ligularia lankongensis,26.876096,100.229945 +Ligularia latipes,31.68115,103.853481 +Ligularia liatroides,32.7464,97.3472 +Ligularia lidjiangensis,27.085138,100.263298 +Ligularia lingiana,27.928607,101.279419 +Ligularia longifolia,23.880344,100.092756 +Ligularia longihastata,35.86,104.2 +Ligularia macrodonta,34.69,103.35 +Ligularia melanocephala,27.696857,103.248771 +Ligularia melanothyrsa,27.711428,102.807301 +Ligularia microcardia,29.914155,102.234618 +Ligularia microcephala,28.48611,98.911543 +Ligularia muliensis,27.3778,100.077 +Ligularia myriocephala,30.0067,93.0017 +Ligularia nelumbifolia,32.637983,103.59895 +Ligularia nyingchiensis,29.63,94.36 +Ligularia odontomanes,27.928607,101.279419 +Ligularia oligonema,28.48611,98.911543 +Ligularia petiolaris,31.712092,88.118532 +Ligularia phoenicochaeta,35.86,104.2 +Ligularia platyglossa,25.584234,100.222124 +Ligularia platyphylla,27.778126,99.592171 +Ligularia pleurocaulis,30.9681,98.9686 +Ligularia potaninii,33.012778,103.714722 +Ligularia przewalskii,31.9297,102.657 +Ligularia pterodonta,35.86,104.2 +Ligularia pubifolia,29.85,95.76 +Ligularia purdomii,30.0044,100.86 +Ligularia retusa,35.86,104.2 +Ligularia rockiana,35.86,104.2 +Ligularia ruficoma,27.177166,99.28717 +Ligularia rumicifolia,29.1419,99.6497 +Ligularia sachalinensis,47.77,128.91 +Ligularia sagitta,36.92,101.32 +Ligularia stenocephala var. stenocephala,28.328636,103.132181 +Ligularia stenoglossa,25.584234,100.222124 +Ligularia subspicata,29.1031,99.6319 +Ligularia tangutorum,34.3453,100.255 +Ligularia tenuicaulis,27.740736,98.66582 +Ligularia tongkyukensis,29.58,94.95 +Ligularia tongolensis,30.055305,101.96483 +Ligularia transversifolia,35.86,104.2 +Ligularia tsangchanensis,0,0 +Ligularia veitchiana,25.60168,110.585686 +Ligularia vellerea,27.63,99.75 +Ligularia villosa,43.15,81.12 +Ligularia virgaurea var. virgaurea,34.4322,100.334 +Ligularia yunnanensis,35.86,104.2 +Melanoseris cyanea,28.0425,85.9856 +Melanoseris lessertiana,28.491111,98.939722 +Melanoseris likiangensis,28.04278,101.19139 +Melanoseris macrantha,27.48,88.9 +Melanoseris macrorhiza,28.918611,93.391389 +Myriactis nepalensis,25.60168,110.585686 +Myriactis wallichii,35.86,104.2 +Myriactis wightii,24.905949,108.842336 +Nannoglottis carpesioides,32.0944,97.2667 +Nannoglottis delavayi,0,0 +Nannoglottis gynura,32.9183,97.3275 +Nannoglottis latisquama,27.42,101.5 +Nannoglottis macrocarpa,30.1192,92.1594 +Nannoglottis ravida,29.53,102.87 +Nannoglottis souliei,30.99,102.36 +Nannoglottis yunnanensis,0,0 +Nemosenecio incisifolius,26.56023,100.17643 +Neobrachyactis anomala,28.1194,85.9936 +Neobrachyactis pubescens,44.32,85.61 +Neobrachyactis roylei,44.32,85.61 +Neopallasia pectinata,29.65,91.1 +Notoseris rhombiformis,22.983563,103.687613 +Nouelia insignis,25.664325,102.650987 +Olgaea pectinata,42.6,85.5 +Olgaea roborowskyi,39.71,75.25 +Olgaea tangutica,33.0103,97.1031 +Onopordum leptolepis,24.548812,118.102401 +Parasenecio deltophyllus,35.20256,102.521732 +Parasenecio palmatisectus var. palmatisectus,30.1469,101.86 +Parasenecio pilgerianus,34.566081,110.092299 +Parasenecio quinquelobus,29.5617,94.5764 +Parasenecio roborowskii,30.031529,101.014427 +Pentanema vestitum,29.32,95.33 +Pertya discolor,35.20256,102.521732 +Pertya phylicoides,28.932073,99.79929 +Pertya uniflora,34.84,104.47 +Petasites tricholobus,35.86,104.2 +Petasites versipilus,27.928607,101.279419 +Phagnalon niveum,38.47,111.12 +Picris divaricata,37.35,111.17 +Picris hieracioides,30.368117,102.81464 +Picris japonica,32.080278,97.02 +Piloselloides hirsuta,27.2,109.83 +Prenanthes brunoniana,25.18,111.57 +Prenanthes maxcrophylla,35.86,104.2 +Prenanthes sikkimensis,35.86,104.2 +Prenanthes violaefolia,35.86,104.2 +Pseudognaphalium affine,23.903807,105.902288 +Psychrogeton poncinsii,37.77,75.22 +Pulicaria chrysantha,27.76,100.32 +Pulicaria insignis,30.05,96.91 +Pyrethrum arrasanicum,42.26,86.86 +Rhaponticum repens,39.333333,106.983333 +Rhinactinidia limoniifolia,39.71,75.25 +Richteria pyrethroides,43.810314,87.605163 +Saussurea acroura,32.637983,103.59895 +Saussurea aerjingensis,45.93,83.6 +Saussurea amara,40.063945,115.506295 +Saussurea andersoni,29.244353,117.85773 +Saussurea andryaloides,35.83333,94.35 +Saussurea arenaria,33.2975,100.432 +Saussurea aster,35.501389,99.51 +Saussurea bella,35.4242,99.3881 +Saussurea brachylepis,30.5,102.5 +Saussurea bracteata,30.58,82.43 +Saussurea brunneopilosa,35.2617,98.9825 +Saussurea bullata,27.82308,99.706013 +Saussurea cana,30.05389,101.95667 +Saussurea caudata,30.368117,102.81464 +Saussurea centiloba,27.82308,99.706013 +Saussurea ceterach,28.48611,98.911543 +Saussurea chapmanii,28.85,85.29 +Saussurea chetchozensis var. chetchozensis,27.33333,100.16667 +Saussurea chingiana,39.71222,75.03639 +Saussurea chondrilloides,38.42,77.23 +Saussurea cinerea,37.88,77.41 +Saussurea cochleariifolia,27.48,88.9 +Saussurea colpodes,28.17,85.98 +Saussurea columnaris,28.48611,98.911543 +Saussurea conaensis,28,91.95 +Saussurea coriacea,31.4972,99.9925 +Saussurea crispa,28.0081,85.9753 +Saussurea daurica,36.51998,103.89177 +Saussurea delavayi var. delavayi,0,0 +Saussurea depsangensis,32.5739,97.2106 +Saussurea dolichopoda,33.976206,107.249372 +Saussurea dschungdienensis,29.037008,100.298406 +Saussurea elliptica,0,0 +Saussurea epilobioides,30.05389,101.95667 +Saussurea eriocephala,25.584234,100.222124 +Saussurea erubescens,34.6356,100.244 +Saussurea euodonta,26.876096,100.229945 +Saussurea famintziniana,33.594753,103.19809 +Saussurea fastuosa,28.54,102.17 +Saussurea fistulosa,28.64722,98.62 +Saussurea flavo-virens,33.594753,103.19809 +Saussurea georgei,32.6608,98.0481 +Saussurea glacialis,31.099306,81.348536 +Saussurea globosa,27.82308,99.706013 +Saussurea gnaphalodes,35.5014,99.51 +Saussurea gossipiphora,28.64944,98.60944 +Saussurea graciliformis,36.07,103.75 +Saussurea graminea,30.055305,101.96483 +Saussurea graminifolia,30.13,81.33 +Saussurea grandiceps,29.33,85.23 +Saussurea grosseserrata,27.82308,99.706013 +Saussurea gyacaensis,29.15,92.58 +Saussurea gymnocephala,31.41,95.59 +Saussurea hemsleyi,31.9822,100.964 +Saussurea henryi,30.663372,113.166529 +Saussurea hieracioides,27.82308,99.706013 +Saussurea hookeri,30.3036,99.5575 +Saussurea hylophila,26.901731,98.869207 +Saussurea inversa,28.48611,98.911543 +Saussurea japonica,23.127041,113.341527 +Saussurea kansuensis,31.2422,99.8614 +Saussurea kaschgarica,39,74.43 +Saussurea katochaete,31.16667,96.63333 +Saussurea kingii,33.22,107.54 +Saussurea laciniata,38.9,106.54 +Saussurea lacostei,39.46,75.99 +Saussurea laniceps,31.80612,98.580912 +Saussurea lavrenkoana,30.1828,99.9925 +Saussurea leiocarpa,32.58333,103.83333 +Saussurea leontodontoides,30.055305,101.96483 +Saussurea leptolepis,32.583333,103.833333 +Saussurea leucoma,31.80612,98.580912 +Saussurea leucophylla,42.6,85.5 +Saussurea lhunzhubensis,31.2869,97.9942 +Saussurea licentiana,30.663372,113.166529 +Saussurea lingulata,28.48611,98.911543 +Saussurea longifolia,30.1192,92.1594 +Saussurea loriformis,28.3,99.17 +Saussurea lyratifolia,29.85,95.76 +Saussurea macrota,30.663372,113.166529 +Saussurea malitiosa,36.47,98.22 +Saussurea medusa,30.055305,101.96483 +Saussurea megaphylla,33.594753,103.19809 +Saussurea melanotricha,27.83333,101 +Saussurea minuta,33.3769,100.29 +Saussurea mongolica,40.952694,116.451987 +Saussurea muliensis,30.5,102.5 +Saussurea nematolepis,32.1383,96.5675 +Saussurea neofranchetii,31.68115,103.853481 +Saussurea nimborum,29.14,92.59 +Saussurea nyalamensis,28.85,85.29 +Saussurea obvallata,35.86,104.2 +Saussurea oligantha,35.86,104.2 +Saussurea ovata,39.71,75.25 +Saussurea paleacea,31.18,97.15 +Saussurea parviflora,46.186861,129.614417 +Saussurea paxiana,32.8831,96.685 +Saussurea peduncularis,27.82308,99.706013 +Saussurea phaeantha,0,0 +Saussurea pilinophylla,30,99 +Saussurea pinetorum,26.56023,100.17643 +Saussurea pinnatidentata,38.72771,105.948911 +Saussurea polycolea,30.1469,101.86 +Saussurea polypodioides,27.177166,99.28717 +Saussurea poochlamys,26.876096,100.229945 +Saussurea populifolia,31.824099,108.629497 +Saussurea porphyroleuca,26.876096,100.229945 +Saussurea pratensis,34.75,99.67 +Saussurea pseudomalitiosa,35.76667,94.33333 +Saussurea pseudosalsa,39.08,117.24 +Saussurea pteridophylla,35.86,104.2 +Saussurea pubescens,29.68,89.09 +Saussurea pubifolia var. lhasaensis,29.65,91.12 +Saussurea pubifolia var. pubifolia,29.65,91.12 +Saussurea pulchra,40.29,97.04 +Saussurea pulvinata,39.03,88 +Saussurea purpurascens,29.3342,101.499 +Saussurea quercifolia,30.055305,101.96483 +Saussurea retroserrata,28.66,97.46 +Saussurea rhytidocarpa,29.037008,100.298406 +Saussurea rockii,35.86,104.2 +Saussurea romuleifolia,31.5978,100.367 +Saussurea salsa,0,0 +Saussurea salwinensis,32.075,97.0386 +Saussurea scabrida,35.86,104.2 +Saussurea schlagintweiti,27.6667,117.6667 +Saussurea schultzii,40.77,118.17 +Saussurea semiamplexicaulis,28.5,98.8667 +Saussurea semifasciata,27.740736,98.66582 +Saussurea semilyrata,35.86,104.2 +Saussurea sericea,0,0 +Saussurea simpsoniana,31.04713,81.378863 +Saussurea stella,33.594753,103.19809 +Saussurea stricta,34.054197,111.047906 +Saussurea subulata,34.9933,98.5047 +Saussurea subulisquama,35.0228,98.8606 +Saussurea superba,27.82308,99.706013 +Saussurea sylvatica,31.834167,96.543333 +Saussurea tangutica,34.8228,99.0428 +Saussurea taraxacifolia,29.63,94.36 +Saussurea thomsonii,31.39,90 +Saussurea thoroldii,36.5875,100.491 +Saussurea tibetica,37.266667,94.45 +Saussurea tridactyla var. maiduoganla,28.85,85.29 +Saussurea tridactyla var. tridactyla,28.85,85.29 +Saussurea uliginosa var. uliginosa,27.82308,99.706013 +Saussurea uniflora,27.48,88.9 +Saussurea ussuriensis,36.46059,117.18606 +Saussurea variiloba,33.73,105.72 +Saussurea velutina,28.48611,98.911543 +Saussurea vestita,26.876096,100.229945 +Saussurea wardii,28.14722,99.90389 +Saussurea wellbyi,31.852552,96.425362 +Saussurea wernerioides,28.48611,98.911543 +Saussurea wettsteiniana,27.47,100.08 +Saussurea woodiana,30.055305,101.96483 +Saussurea yunnanensis,25,102 +Schmalhausenia nidulans,18.62,109.7 +Scorzonera austriaca,34.86,110.44 +Scorzonera hotanica,40.821065,115.188292 +Scorzonera mongolica,37.95,110.99 +Scorzonera pamirica,37.77,75.22 +Scorzonera parviflora,43.21,81.83 +Scorzonera pseudodivaricata var. leiocarpa,39.333333,106.983333 +Scorzonera pseudodivaricata var. pseudodivaricata,39.333333,106.983333 +Scorzonera pusilla,43.81,87.6 +Senecio analogus,24.696301,98.813698 +Senecio arachnanthus,30.05,96.91 +Senecio argunensis,28.292516,117.245492 +Senecio atrofuscus,29.58,94.63 +Senecio biligulatus,28.85,85.29 +Senecio chenopodifolius,28.85,85.29 +Senecio chungtienensis,36.519977,103.891767 +Senecio daochengensis,27.82308,99.706013 +Senecio densiflorus,35.86,104.2 +Senecio densiserratus,32.44,104.55 +Senecio desfontainei,32.49,80.09 +Senecio diversipinnus,35.14,100.61 +Senecio dodrans,22.8623,106.824 +Senecio drukensis,29.85,95.76 +Senecio dubitabilis,46.06,122.6 +Senecio echaetus,28.85,85.29 +Senecio faberi,25.6,110.58 +Senecio filiferus,25.1667,102.117 +Senecio graciliflorus,35.86,104.2 +Senecio jacobaea,43.81,87.6 +Senecio jiulongensis,29.000343,101.507299 +Senecio kawaguchii,31.1661,97.3006 +Senecio kongboensis,29.85,95.76 +Senecio krascheninnikovii,30.29,81.17 +Senecio kunlunshanicus,46.06,122.6 +Senecio lhasaensis,29.73,90.98 +Senecio lijiangensis,27.82308,99.706013 +Senecio lingianus,29.32,95.33 +Senecio megalanthus,28.93,99.79 +Senecio muliensis,29.037008,100.298406 +Senecio multibracteolatus,27.42,101.5 +Senecio nemorensis,27.24,105.72 +Senecio nigrocinctus,29.32,95.33 +Senecio nodiflorus,0,0 +Senecio nudicaulis,29.22,102.35 +Senecio obtusatus,27.37,102.53 +Senecio pseudomairei,25.7,104.46 +Senecio pteridophyllus,35.86,104.2 +Senecio ramosa,33.86417,105.95449 +Senecio raphanifolius,27.48,88.9 +Senecio saussureoides,32.0506,97.24 +Senecio scandens var. incisus,31.82,108.62 +Senecio scandens var. scandens,27.99,108.4 +Senecio scapiformis,23.351747,113.411891 +Senecio spathiphyllus,27.82308,99.706013 +Senecio thianschanicus,29.7547,91.9375 +Senecio tibeticus,29.00333,89.61833 +Senecio tricuspis,27.92,101.27 +Senecio wightii,25.5278,98.6664 +Seriphidium aucheri,44.22,87.92 +Seriphidium brevifolium,44.22,87.92 +Seriphidium compactum,48.3,87.26 +Seriphidium fedtschenkoanum,42.32,86.38 +Seriphidium ferganense,36.85,81.67 +Seriphidium gracilescens,45.7,87.5 +Seriphidium grenardii,39.46,75.99 +Seriphidium issykkulense,43.15,81.12 +Seriphidium korovinii,40.5,79.04 +Seriphidium mongolorum,36.4,94.9 +Seriphidium rhodanthum,36.21,79.3 +Seriphidium thomsonianum,44.22,87.92 +Seriphidium transiliense,46.52,89.47 +Serratula forrestii,26.56023,100.17643 +Sigesbeckia orientalis,33.97,107.24 +Sigesbeckia pubescens,42.62528,123.72528 +Sinacalia caroli,30.368117,102.81464 +Sinacalia davidii,29.6033,102.073 +Sinacalia tangutica,27.001833,100.177194 +Sinoleontopodium lingianum,29,93.98 +Sinosenecio euosmus,31.95,102.65 +Sinosenecio fangianus,30.91,102.54 +Sinosenecio oldhamianus,35.86,104.2 +Sinosenecio rotundifolius,32.63,103.59 +Sinosenecio rufus,31.95,102.65 +Sinosenecio subrosulatus,29.914155,102.234618 +Sinosenecio sungpanensis,32.98383,103.6691 +Sonchella dentata,43.78333,116.51667 +Sonchus asper,25.79,114.53 +Sonchus oleraceus,22.78,113.59 +Sonchus transcaspicus,26.901731,98.869207 +Sonchus wightianus,25.7,100.117 +Soroseris depressa,30.66667,93.66667 +Soroseris erysimoides,30.055305,101.96483 +Soroseris glomerata,28.889481,90.227172 +Soroseris hookeriana,30.860464,102.681981 +Soroseris trichocarpa,28.585833,99.837222 +Soroseris umbrella,27.669958,99.90245 +Stilpnolepis intricata,38.93,100.46 +Symphyotrichum ciliatum,39.467607,75.986595 +Syncalathium chrysocephalum,31.1094,96.8744 +Syncalathium disciforme,30.055305,101.96483 +Syncalathium kawaguchii,31.1661,97.3006 +Syncalathium porphyreum,33.53,107.98 +Syncalathium roseum,33.451683,99.44748 +Syncalathium souliei,35.86,104.2 +Synotis acuminata,38.72771,105.948911 +Synotis alata,35.86,104.2 +Synotis cappa,35.86,104.2 +Synotis chingiana,25.6,110.58 +Synotis erythropappa,35.86,104.2 +Synotis glomerata,35.86,104.2 +Synotis lucorum,27.42,101.5 +Synotis muliensis,29.6008,102.068 +Synotis saluenensis,35.86,104.2 +Synotis setchuenensis,27.794275,98.586922 +Synotis solidaginea,30.0067,93.0017 +Synotis tetrantha,29.037008,100.298406 +Synotis triligulata,35.86,104.2 +Synotis xantholeuca,35.86,104.2 +Synotis yakoensis,35.86,104.2 +Synotis yui,35.86,104.2 +Tanacetum atkinsonii,27.48,88.9 +Tanacetum pulchrum,46.67,90.38 +Tanacetum tatsienense var. tanacetopsis,0,0 +Tanacetum tatsienense var. tatsienense,35.86,104.2 +Taraxacum albiflos,39.06,113.61 +Taraxacum apargiiforme,30.06,102.75 +Taraxacum bicolor,29.65,91.12 +Taraxacum brevirostre,24.580446,99.92854 +Taraxacum centrasiaticum,39.333333,106.983333 +Taraxacum dealbatum,30.05,101.96 +Taraxacum dissectum,37.88,77.41 +Taraxacum eriopodum,30.29,81.17 +Taraxacum glabrum,39.06,113.61 +Taraxacum goloskokovii,43.8,87.6 +Taraxacum grypodon,29.85,95.76 +Taraxacum ikonnikovii,40.64,116.58 +Taraxacum lanigerum,27.177166,99.28717 +Taraxacum lugubre,30,99 +Taraxacum luridum,37.88,77.41 +Taraxacum maurocarpum,28.5733,99.8117 +Taraxacum minutilobum,36.21,79.3 +Taraxacum mitalii,39.06,113.61 +Taraxacum mongolicum,24.813781,113.184435 +Taraxacum officinale,28.3,99.17 +Taraxacum pingue,43.8,87.6 +Taraxacum platypecidum,38.7,113.5 +Taraxacum pseudominutilobum,36.21,79.3 +Taraxacum qirae,39.06,113.61 +Taraxacum sikkimense,33.205,97.4281 +Taraxacum stanjukoviczii,37.12,79.92 +Taraxacum stenoceras,33.99,102.07 +Taraxacum subglaciale,39.06,113.61 +Taraxacum tibetanum,29.7008,91.4303 +Tephroseris kirilowii,36.63,101.17 +Tephroseris rufa var. chaetocarpa,36.4,99.95 +Tephroseris rufa var. rufa,38.79,113.43 +Tephroseris stolonifera,29.22,102.35 +Tragopogon gracilis,31.47,79.8 +Tragopogon pratensis,44.6,82.88 +Tragopogon songoricus,43.48,82.23 +Tricholepis tibetica,24.761293,102.893023 +Tripolium pannonicum,39.29,116.56 +Tussilago farfara,27.3,99.8 +Vernonia blanda,29.32,95.33 +Vernonia cinerea,35.86,104.2 +Vernonia esculenta,25.674263,104.255093 +Vernonia extense,21.62,101.56 +Vernonia forrestii,36.519977,103.891767 +Vernonia saligna,24.93,105.84 +Vernonia volkameriaefolia,35.86,104.2 +Wollastonia montana,25.23,110.2 +Xanthium strumarium,37.46,121.44 +Xanthopappus subacaulis,32.95,94.37 +Youngia atripappa,24.983333,112.833333 +Youngia diversifolia,42.6,85.5 +Youngia gracilipes,28.91,89.6 +Youngia japonica,24.983333,112.833333 +Youngia paleacea,31.82,108.62 +Youngia racemifera,29.05,93.93 +Youngia simulatrix,35.2617,98.9825 +Youngia tenuicaulis,41.25,114.81 +Youngia tenuifolia,44.32,85.61 +Youngia wilsonii,29.523376,103.33726 +Adoxa moschatellina,40.52,116.15 +Sambucus adnata,27.930639,99.61512 +Sambucus ebulus,28.67,97.47 +Sambucus javanica,28.4,98.779722 +Sambucus williamsii,30.11,118.91 +Sinadoxa corydalifolia,32.2558,96.3258 +Viburnum atrocyaneum,25.3922,102.72 +Viburnum betulifolium,35.86,104.2 +Viburnum brevitubum,31.331599,110.783719 +Viburnum chinshanense,32.7,105.1 +Viburnum congestum,29.85,100.36667 +Viburnum cotinifolium,28.85,85.29 +Viburnum cylindricum,35.86,104.2 +Viburnum erubescens,35.86,104.2 +Viburnum farreri,34.72,104.89 +Viburnum foetidum,35.86,104.2 +Viburnum glomeratum,26.876096,100.229945 +Viburnum grandiflorum,29.9,94.87 +Viburnum kansuense,35.86,104.2 +Viburnum macrocephalum,28.433333,110.4 +Viburnum mongolicum,41.25,114.81 +Viburnum mullaha var. glabrescens,28.66,97.46 +Viburnum mullaha var. mullaha,27.8669,98.3636 +Viburnum nervosum,25.97374,98.6853 +Viburnum oliganthum,35.86,104.2 +Viburnum schensianum,33.38,111.95 +Viburnum subalpinum,35.86,104.2 +Abelia forrestii,26.850444,100.179889 +Abelia parvifolia,31.43,103.05 +Abelia umbellata,27.303223,105.288398 +Dipelta elegans,33.26,104.23 +Dipelta yunnanensis,27.129299,100.235176 +Dipsacus asper,31.82,108.62 +Dipsacus atratus,28,91.95 +Dipsacus chinensis,28.66,97.46 +Dipsacus japonicus,34.56,110.09 +Leycesteria crocothyrsos,27.82308,99.706013 +Leycesteria formosa,30.666667,101.733333 +Leycesteria glaucophylla,29.32,95.33 +Leycesteria gracilis,27.7428,98.6056 +Leycesteria stipulata,35.86,104.2 +Lonicera acuminata var. acuminata,25.532528,102.404938 +Lonicera acuminata var. giraldii,25.60168,110.585686 +Lonicera angustifolia var. angustifolia,28.85,85.29 +Lonicera angustifolia var. myrtillus,35.86,104.2 +Lonicera bournei,28.1147,98.3164 +Lonicera caerulea,41.241126,125.241448 +Lonicera calcarata,25.13,105.39 +Lonicera chrysantha subsp. chrysantha,43.889,127.848 +Lonicera chrysantha var. koehneana,0,0 +Lonicera cyanocarpa,28.66,97.46 +Lonicera ferdinandi,39.03,113.03 +Lonicera fragrantissima var. fragrantissima,29.010101,114.412629 +Lonicera glabrata var. glabrata,35.86,104.2 +Lonicera glabrata var. hirticaulis,35.86,104.2 +Lonicera harmsii,22.391288,106.817838 +Lonicera hispida var. bracteata,29.914155,102.234618 +Lonicera hispida var. chaetocarpa,30.368117,102.81464 +Lonicera hispida var. hirsutior,31.43,103.17 +Lonicera hispida var. hispida,29.914155,102.234618 +Lonicera hispida var. setosa,29.914155,102.234618 +Lonicera humilis,39.71,75.25 +Lonicera hypoleuca,28.45,119.91 +Lonicera kansuensis,32.637983,103.59895 +Lonicera lanceolata var. glabra,30.91,116.2 +Lonicera ligustrina var. yunnanensis,35.86,104.2 +Lonicera litangensis,29.1239,99.9967 +Lonicera maackii,34.36,110.53 +Lonicera microphylla,41.75,79.5 +Lonicera nervosa,36.07,103.75 +Lonicera nigra,42.78,128.51 +Lonicera reticulata,25.22845,113.217309 +Lonicera retusa,30.91,102.54 +Lonicera rupicola subsp. syringantha,28.115,98.3165 +Lonicera rupicola var. minuta,33.1567,96.6483 +Lonicera rupicola var. rupicola,28.36,87.76 +Lonicera semenovii,37.77,75.22 +Lonicera setifera,27.42,101.5 +Lonicera simulatrix,39.72,75.25 +Lonicera spinosa,33.38,79.73 +Lonicera tangutica,35.86,104.2 +Lonicera thibetica,30.055305,101.96483 +Lonicera tomentella var. tomentella,35.86,104.2 +Lonicera tomentella var. tsarongensis,35.86,104.2 +Lonicera trichosantha var. deflexicalyx,26.876096,100.229945 +Lonicera trichosantha var. trichosantha,30.055305,101.96483 +Lonicera webbiana,0,0 +Morina alba,28.66,97.46 +Morina chinensis,30.055305,101.96483 +Morina chlorantha,32.77,96.67 +Morina kokonorica,29.7014,92.2153 +Morina nepalensis subsp. delavayi,0,0 +Morina nepalensis subsp. nepalensis,27.129162,100.23555 +Nardostachys grandiflora,28.55,85.3 +Nardostachys jatamansi,27.624146,99.642616 +Patrinia heterophylla,36.519977,103.891767 +Patrinia intermedia,43.42,83.26 +Patrinia monandra,35.846944,116.939444 +Patrinia rupestris,41.4,128.183333 +Patrinia scabiosifolia,26.466667,111.316667 +Patrinia speciosa,0,0 +Pterocephalus bretschneideri,29.08,93.08 +Pterocephalus hookeri,30.055305,101.96483 +Scabiosa ochroleuca,43.15,81.12 +Triosteum himalayanum,27.448076,99.822868 +Triosteum pinnatifidum,0,0 +Triplostegia glandulifera,35.86,104.2 +Triplostegia grandiflora,29.03,93.93 +Valeriana barbulata,35.86,104.2 +Valeriana cymbocarpa,43.899,88.121 +Valeriana daphniflora,27.4,102.17 +Valeriana fedtschenkoi,43.870518,85.566173 +Valeriana flaccidissima,31.331599,110.783718 +Valeriana flagellifera,36.92,101.68 +Valeriana hardwickii,25.9556,98.7383 +Valeriana hengduanensis,27.928607,101.279419 +Valeriana hiemalis,31.9,102.22 +Valeriana hirticalyx,0,0 +Valeriana jatamansi,35.86,104.2 +Valeriana meonantha,35.52,102.02 +Valeriana minutiflora,28.66,97.46 +Valeriana officinalis,31.54,110.45 +Valeriana sichuanica,27.92,101.27 +Valeriana stenoptera,28.48611,98.911543 +Valeriana tangutica,44.326389,85.619416 +Weigela florida,47.072789,124.054992 +Zabelia dielsii,0,0 +Zabelia triflora,28.66667,98.25 +Pittosporum angustilimbum,29.914155,102.234618 +Pittosporum brevicalyx,29.85,95.76 +Pittosporum heterophyllum,29.914155,102.234618 +Pittosporum johnstonianum,23.763342,98.82524 +Pittosporum napaulense,35.86,104.2 +Pittosporum podocarpum,27.06032,110.575848 +Pittosporum saxicola,31.084,103.267 +Pittosporum truncatum,31.82,108.62 +Acanthopanax gracilistylus,35.86,104.2 +Aralia apioides,35.86,104.2 +Aralia atropurpurea,26.876096,100.229945 +Aralia caesia var. pubescens,27.82308,99.706013 +Aralia chinensis,19.200505,109.74159 +Aralia fargesii,25.5167,100.2 +Aralia tibetana,30.055305,101.96483 +Brassaiopsis ciliata,29.49,103.39 +Brassaiopsis fatsioides,24.7905,97.6755 +Brassaiopsis glomerulata,35.86,104.2 +Brassaiopsis hainla,24.9583,98.7344 +Brassaiopsis hispida,24.392902,106.633387 +Brassaiopsis liana,24.7905,97.6755 +Brassaiopsis shweliensis,29.32,95.33 +Brassaiopsis simplicifolia,29.32,95.33 +Brassaiopsis tibetana,24.7905,97.6755 +Dendropanax burmanicus,35.86,104.2 +Eleutherococcus cissifolius,26.9,98.85 +Eleutherococcus giraldii,31.95,102.65 +Eleutherococcus henryi,30.08,102.05 +Eleutherococcus henryi var. henryi,30.08,102.05 +Eleutherococcus lasiogyne,30.1351,95.0181 +Eleutherococcus senticosus,43.7,127.139 +Eleutherococcus trifoliatus,29.9894,94.8653 +Eleutherococcus verticillatus,0,0 +Eleutherococcus wilsonii var. pilosulus,35.555814,106.046122 +Eleutherococcus wilsonii var. wilsonii,32.0803,97.02 +Gamblea ciliata var. ciliata,23.363,104.250727 +Gamblea ciliata var. evodiifolia,27.82308,99.706013 +Hedera nepalensis var. nepalensis,25.9556,98.7383 +Hedera nepalensis var. sinensis,25.9556,98.7383 +Macropanax dispermus,28.66,97.46 +Macropanax undulatus,27.7431,98.3469 +Merrilliopanax alpinus,29.63,94.36 +Merrilliopanax listeri,35.86,104.2 +Metapanax davidii,28.0658,98.59 +Metapanax delavayi,27.9839,98.6614 +Panax japonicus var. bipinnatifidus,0,0 +Panax japonicus var. japonicus,26.43,110.85 +Panax japonicus var. major,27.48,88.9 +Panax notoginseng,24.7,117.31 +Pentapanax caesius,29,101.5 +Pentapanax fragrans var. fragrans,27.18494,98.720062 +Pentapanax henryi,35.86,104.2 +Pentapanax leschenaultii var. leschenaultii,28.85,85.29 +Pentapanax leschenaultii var. umbellatus,28.85,85.29 +Pentapanax leschenaultii var. villosus,27.48,88.9 +Pentapanax parasiticus var. khasianus,25.35,103.03 +Pentapanax parasiticus var. parasiticus,29.32,95.33 +Pentapanax racemosus,35.86,104.2 +Pentapanax wilsonii,29.523376,103.33726 +Schefflera chinensis,35.86,104.2 +Schefflera elliptica,28.66,97.46 +Schefflera glabrescens,35.86,104.2 +Schefflera heptaphylla,23.34,113.74 +Schefflera hoi,24.615701,100.709786 +Schefflera khasiana,29.32,95.33 +Schefflera leucantha,22.76,107.11 +Schefflera minutistellata,24.8308,98.7678 +Schefflera multinervia,35.86,104.2 +Schefflera rhododendrifolia,28.66,97.46 +Schefflera wardii,30.0087,94.9578 +Trevesia palmata,21.981682,108.653798 +Tupidanthus calyptratus,24.02,117.72 +Acronema alpinum,29.15,92.58 +Acronema astrantiifolium,28.93,99.79 +Acronema brevipedicellatum,28.932073,99.79929 +Acronema chienii var. chienii,31.899166,102.222451 +Acronema chinense var. chinense,32.58333,103.83333 +Acronema chinense var. humile,29.32,95.33 +Acronema commutatum,35.86,104.2 +Acronema forrestii,30.53333,101.98333 +Acronema gracile,28.85,85.29 +Acronema graminifolium,32.075,97.0386 +Acronema handelii,27.82308,99.706013 +Acronema hookeri,32.15,97.045 +Acronema johrianum,31.49,98.21 +Acronema minus,27.761667,98.450556 +Acronema muscicola,35.86,104.2 +Acronema nervosum,32.2558,96.3258 +Acronema paniculatum,29.88,93.24 +Acronema schneideri,24.25111,101.865 +Acronema sichuanense,32.77,96.67 +Acronema tenerum,29.85,95.76 +Acronema xizangense,29.215697,94.213461 +Aegopodium henryi,29.39,110.16 +Angelica apaensis,26.088547,103.176727 +Angelica balangshanensis,31.084,103.267 +Angelica kangdingensis,30.055305,101.96483 +Angelica laxifoliata,33.524483,107.990638 +Angelica likiangensis,27.12,100.22 +Angelica longipedicellata,30.368117,102.81464 +Angelica maowenensis,31.316389,102.000556 +Angelica nitida,35.84,104.11 +Angelica omeiensis,29.49,103.39 +Angelica oncosepala,24.706769,102.928677 +Angelica paeoniifolia,29.04,93.07 +Angelica pinnatiloba,32.637983,103.59895 +Angelica pseudoselinum,29.22787,102.359458 +Angelica sinensis var. sinensis,30.98,112.25583 +Angelica sinensis var. wilsonii,30.98,112.25583 +Angelica songpanensis,32.637983,103.59895 +Angelica ternata,38.73,75.05 +Anthriscus sylvestris subsp. nemorosa,25.77,100.02 +Archangelica brevicaulis,43.79,87.63 +Arcuatopterus linearifolius,25.827253,100.575146 +Arcuatopterus sikkimensis,30.8503,101.277 +Arcuatopterus thalictrioideus,29.914155,102.234618 +Bupleurum alatum,0,0 +Bupleurum angustissimum,40.05,113.22 +Bupleurum boissieuanum,31.824099,108.629497 +Bupleurum candollei,28.66,97.46 +Bupleurum chaishoui,29.000343,101.507299 +Bupleurum commelynoideum var. commelynoideum,32.75,97.35 +Bupleurum commelynoideum var. flaviflorum,30.05,96.91 +Bupleurum condensatum,35.254167,100.805278 +Bupleurum dalhousieanum,28.66,97.46 +Bupleurum densiflorum,42.32,86.38 +Bupleurum gracillimum,28.37,90.8 +Bupleurum hamiltonii var. hamiltonii,26.56023,100.17643 +Bupleurum hamiltonii var. humile,26.56023,100.17643 +Bupleurum longicaule var. amplexicaule,35.86,104.2 +Bupleurum longicaule var. franchetii,31.37,109.62 +Bupleurum longicaule var. giraldii,33.52,107.99 +Bupleurum longicaule var. longicaule,35.86,104.2 +Bupleurum longicaule var. strictum,27.42,101.5 +Bupleurum malconense,35.69,105.05 +Bupleurum marginatum var. marginatum,29.65,91.12 +Bupleurum marginatum var. stenophyllum,29.65,91.12 +Bupleurum microcephalum,32.63,103.59 +Bupleurum petiolulatum var. petiolulatum,32.2861,96.5056 +Bupleurum petiolulatum var. tenerum,28.85,85.29 +Bupleurum pusillum,38.14,85.52 +Bupleurum rockii,30,94.9 +Bupleurum smithii var. parvifolium,32.95,94.37 +Bupleurum smithii var. smithii,32.1383,96.5675 +Bupleurum triradiatum,28.65694,98.93333 +Bupleurum wenchuanense,30.911944,102.546111 +Bupleurum yinchowense,35.84,104.11 +Bupleurum yunnanense,0,0 +Carum buriaticum,33,97.1 +Carum carvi f. carvi,27.82308,99.706013 +Carum carvi f. gracile,27.82308,99.706013 +Centella asiatica,25.07,102.68 +Chaerophyllopsis huai,28.66,97.46 +Chaerophyllum villosum,35.86,104.2 +Chamaesium delavayi,26.56023,100.17643 +Chamaesium novemjugum,29.58333,94.71667 +Chamaesium paradoxum,29.85,102.25 +Chamaesium thalictrifolium,32.75,103.83333 +Chamaesium viridiflorum,30.41667,101.83333 +Cicuta virosa,38.28,109.73 +Cnidium monnieri,25.133406,105.399807 +Cortia depressa,29.68,89.09 +Cortiella caespitosa,32.05,118.79 +Cortiella cortioides,27.48,88.9 +Cortiella hookeri,29.22,91.77 +Cryptotaenia japonica,26.293056,110.789167 +Cyclorhiza peucedanifolia,26.876096,100.229945 +Cyclorhiza waltonii,31.5119,100.696 +Daucus carota,35.97,110.84 +Dickinsia hydrocotyloides,35.86,104.2 +Eriocycla nuda var. nuda,28.65,87.12 +Eriocycla nuda var. purpurascens,28.65,87.12 +Ferula hexiensis,0,0 +Ferula jaeschkeana,31.48,79.8 +Ferula kingdon-wardii,26.876096,100.229945 +Ferula olivacea,28.8675,99.245833 +Haplosphaera himalayensis,29.05,93.95 +Haplosphaera phaea,28.48611,98.911543 +Harrysmithia franchetii,26.41795,103.297362 +Harrysmithia heterophylla,36.519977,103.891767 +Heracleum bivittatum,35.86,104.2 +Heracleum candicans var. candicans,27.900736,99.637726 +Heracleum candicans var. obtusifolium,28.328636,103.132181 +Heracleum forrestii,29.037008,100.298406 +Heracleum franchetii,35.773359,96.04683 +Heracleum hemsleyanum,29.39,110.16 +Heracleum henryi,35.86,104.2 +Heracleum kingdonii,0,0 +Heracleum likiangense,31.13,97.18 +Heracleum millefolium var. longilobum,31.905842,102.206261 +Heracleum millefolium var. millefolium,35.773359,96.04683 +Heracleum moellendorffii var. moellendorffii,42.786504,128.514493 +Heracleum moellendorffii var. subbipinnatum,42.786504,128.514493 +Heracleum nepalense,28.7203,87.2108 +Heracleum nyalamense,28.17,85.98 +Heracleum oreocharis,35.86,104.2 +Heracleum rapula,36.41,99.96 +Heracleum scabridum,26.876096,100.229945 +Heracleum souliei,0,0 +Heracleum stenopterum,27.92,101.27 +Heracleum subtomentellum,26.876096,100.229945 +Heracleum vicinum,32.07,108.03 +Heracleum yungningense,0,0 +Heracleum yunnanense,24.6,100.53333 +Hydrocotyle himalaica,35.86,104.2 +Hydrocotyle hookeri subsp. chinensis,0,0 +Hydrocotyle hookeri subsp. hookeri,29.32,95.33 +Hydrocotyle nepalensis,31.556782,110.828288 +Hydrocotyle salwinica,29.32,95.33 +Hydrocotyle sibthorpioides,25.13,115.39 +Hydrocotyle wilsonii,30.6,109.72 +Libanotis buchtormensis,32.061655,102.990174 +Libanotis depressa,32.775621,96.67737 +Ligusticum acuminatum,35.86,104.2 +Ligusticum angelicifolium,31.08,103.26 +Ligusticum brachylobum,35.86,104.2 +Ligusticum capillaceum,27.42,101.5 +Ligusticum daucoides,28.66,97.46 +Ligusticum delavayi,29.14,92.59 +Ligusticum francheti,27.740736,98.66582 +Ligusticum glaucifolium,36.519977,103.891767 +Ligusticum gyirongense,28.85,85.29 +Ligusticum hispidum,25.827253,100.575146 +Ligusticum involucratum,26.876096,100.229945 +Ligusticum kingdon-wardii,29.08,93.08 +Ligusticum levistifolium,35.86,104.2 +Ligusticum likiangense,26.876096,100.229945 +Ligusticum littledalei,30.32,90.58 +Ligusticum moniliforme,35.52,102.02 +Ligusticum multivittatum,27.177166,99.28717 +Ligusticum nematophyllum,32.637983,103.59895 +Ligusticum oliverianum,35.86,104.2 +Ligusticum pteridophyllum,22.983563,103.687613 +Ligusticum rechingerianum,26.876096,100.229945 +Ligusticum rockii,27.930143,99.615334 +Ligusticum scapiforme,30.47,91.09 +Ligusticum sikiangense,30.1469,101.86 +Ligusticum sinense var. sinense,35.86,104.2 +Ligusticum tenuisectum,31.370137,109.629918 +Ligusticum thomsonii,32.95,94.37 +Ligusticum yushuense,36.97,103.14 +Meeboldia achilleifolia,29.63,94.36 +Meeboldia yunnanensis,29.1031,99.6319 +Nothosmyrnium japonicum,29.010101,114.412629 +Nothosmyrnium xizangense var. simpliciorum,29.63,94.36 +Nothosmyrnium xizangense var. xizangense,29.7547,91.9375 +Notopterygium forrestii,36.519977,103.891767 +Notopterygium franchetii,30.911944,102.546111 +Notopterygium incisum,34.6489,100.611 +Oenanthe hookeri,35.86,104.2 +Oenanthe javanica subsp. javanica,24.81,98.83 +Oenanthe javanica subsp. rosthornii,26.760139,98.887413 +Oenanthe linearis subsp. linearis,35.86,104.2 +Oenanthe linearis subsp. rivularis,35.86,104.2 +Oenanthe thomsonii subsp. stenophylla,29.73797,103.231884 +Oenanthe thomsonii subsp. thomsonii,24.805305,98.527725 +Osmorhiza aristata var. aristata,28.66,97.46 +Osmorhiza aristata var. laxa,28.66,97.46 +Ostericum grosseserratum,41.4,128.183333 +Ostericum maximowiczii var. alpinum,27.928607,101.279419 +Ostericum scaberulum var. longiinvolucellatum,0,0 +Ostericum scaberulum var. scaberulum,28.96,102.77 +Pachypleurum lhasanum,29.99605,100.269814 +Pachypleurum muliense,0,0 +Pachypleurum nyalamense,0,0 +Pachypleurum xizangense,0,0 +Peucedanum angelicoides,29.16,107.1 +Peucedanum delavayi,0,0 +Peucedanum falcaria,39.98,117.07 +Peucedanum franchetii,26.876096,100.229945 +Peucedanum macilentum,29.85,95.76 +Peucedanum nanum,29.13,92.57 +Peucedanum rubricaule,27.69375,108.850061 +Peucedanum songpanense,32.637983,103.59895 +Peucedanum turgeniifolium,32.15,97.045 +Peucedanum violaceum,29.58,94.92 +Physospermopsis alepidioides,27.928607,101.279419 +Physospermopsis cuneata,23.880344,100.092756 +Physospermopsis delavayi,24.688873,101.641935 +Physospermopsis kingdon-wardii,0,0 +Physospermopsis muliensis,27.92,101.27 +Physospermopsis obtusiuscula,27.48,88.9 +Physospermopsis rubrinervis,27.71,102.8 +Physospermopsis shaniana,26.088547,103.176727 +Pimpinella acuminata,28.85,85.29 +Pimpinella arguta,30.016667,109.3 +Pimpinella bisinuata,25.032903,101.546159 +Pimpinella candolleana,27.42,101.5 +Pimpinella caudata,32.080556,97.007222 +Pimpinella chungdienensis,29.63,94.36 +Pimpinella coriacea,25.17,110.35 +Pimpinella diversifolia var. diversifolia,28.48611,98.911543 +Pimpinella diversifolia var. stolonifera,28.48611,98.911543 +Pimpinella fargesii,31.82,108.62 +Pimpinella flaccida,28.48611,98.911543 +Pimpinella grisea,23.880344,100.092756 +Pimpinella henryi,31.824099,108.629497 +Pimpinella kingdon-wardii,35.86,104.2 +Pimpinella monoica,0,0 +Pimpinella purpurea,0,0 +Pimpinella refracta,25.086828,104.895897 +Pimpinella rhomboidea var. rhomboidea,23.36561,103.388085 +Pimpinella rhomboidea var. tenuiloba,31.084,103.267 +Pimpinella rockii,25.020615,98.490007 +Pimpinella rubescens,26.876096,100.229945 +Pimpinella silvatica,27.82308,99.706013 +Pimpinella smithii,0,0 +Pimpinella tibetanica,35.86,104.2 +Pimpinella weishanensis,35.86,104.2 +Pimpinella yunnanensis,25.584234,100.222124 +Pleurospermum albimarginatum,28.13484,99.889793 +Pleurospermum amabile,29.6114,94.6542 +Pleurospermum angelicoides,28.85,85.29 +Pleurospermum apiolens,29.7786,94.7247 +Pleurospermum aromaticum,36.519977,103.891767 +Pleurospermum astrantioideum,30.055305,101.96483 +Pleurospermum benthamii,29.000343,101.507299 +Pleurospermum bicolor,31.7061,102.314 +Pleurospermum calcareum,0,0 +Pleurospermum cristatum,0,0 +Pleurospermum decurrens,35.86,104.2 +Pleurospermum foetens,28.5733,99.8117 +Pleurospermum franchetianum,36.519977,103.891767 +Pleurospermum handelii,0,0 +Pleurospermum hedinii,35.0228,98.8606 +Pleurospermum heracleifolium,29.63,94.36 +Pleurospermum heterosciadium,27.82308,99.706013 +Pleurospermum hookeri var. haidongense,0,0 +Pleurospermum hookeri var. hookeri,0,0 +Pleurospermum hookeri var. thomsonii,0,0 +Pleurospermum linearilobum,36.519977,103.891767 +Pleurospermum longicarpum,28.852398,85.29753 +Pleurospermum macrochlaenum,28.85,85.29 +Pleurospermum nanum,0,0 +Pleurospermum nubigenum,31.13,97.18 +Pleurospermum pilosum,27.48,88.9 +Pleurospermum pulszkyi,0,0 +Pleurospermum rivulorum,26.876096,100.229945 +Pleurospermum souliaei,40.573023,124.03631 +Pleurospermum szechenyii,31.712092,88.118532 +Pleurospermum tsekuense,0,0 +Pleurospermum wilsonii,28.54,102.17 +Pleurospermum wrightianum,0,0 +Pleurospermum yunnanense,35.86,104.2 +Pternopetalum botrychioides,29.45193,102.41455 +Pternopetalum caespitosum,32.38,109.36 +Pternopetalum cardiocarpum,35.86,104.2 +Pternopetalum davidii,25.7667,100.017 +Pternopetalum delavayi,29.7692,95.6854 +Pternopetalum delicatulum,0,0 +Pternopetalum filicinum,30,102.08333 +Pternopetalum gracillimum,29.58333,102.83333 +Pternopetalum heterophyllum,29.5864,102.028 +Pternopetalum longicaule var. humile,33.52,107.99 +Pternopetalum longicaule var. longicaule,33.52,107.99 +Pternopetalum molle var. molle,26.01,98.66 +Pternopetalum sinense,27.177166,99.28717 +Pternopetalum subalpinum,0,0 +Pternopetalum trifoliatum,31.905842,102.206261 +Pternopetalum vulgare var. vulgare,35.86,104.2 +Pternopetalum wangianum,30.066708,102.758313 +Pternopetalum wolffianum,29.73797,103.231884 +Sanicula astrantiifolia,35.86,104.2 +Sanicula chinensis,32.15,97.045 +Sanicula elata,43.866,126.6 +Sanicula giraldii,29.58,94.93 +Sanicula hacquetioides,35.86,104.2 +Sanicula lamelligera,0,0 +Sanicula orthacantha var. brevispina,29.496119,103.398589 +Sanicula orthacantha var. orthacantha,31.33,110.78 +Sanicula rugulosa,29.85,95.76 +Sanicula serrata,30.055305,101.96483 +Sanicula tienmuensis var. pauciflora,29.914155,102.234618 +Selinum wallichianum,27.928607,101.279419 +Seseli delavayi,24.615701,100.709786 +Seseli mairei,24.94,98.83 +Seseli purpureovaginatum,31.93,94.03 +Seseli squarrulosum,36.63,101.2 +Seseli yunnanense,32.06,108.04 +Sinocarum coloratum,33.3564,99.5619 +Sinocarum cruciatum var. cruciatum,0,0 +Sinocarum cruciatum var. linearilobum,35.86,104.2 +Sinocarum dolichopodum,27.42,101.5 +Sinocarum filicinum,28.932073,99.79929 +Sinocarum pauciradiatum,35.86,104.2 +Sinocarum pityophilum,36.519977,103.891767 +Sinocarum vaginatum,28.93,99.79 +Sinolimprichtia alpina var. alpina,35.86,104.2 +Sinolimprichtia alpina var. dissecta,0,0 +Sium frigidum,0,0 +Sphallerocarpus gracilis,0,0 +Tongoloa dunnii,31.042327,110.340757 +Tongoloa elata,0,0 +Tongoloa gracilis,32.2808,96.4631 +Tongoloa loloensis,28.93,99.79 +Tongoloa rockii,27.382778,100.136111 +Tongoloa silaifolia,33.976206,107.249372 +Tongoloa taeniophylla,32.2808,96.4631 +Tongoloa tenuifolia,31.49,98.21 +Torilis japonica,36.519977,103.891767 +Trachydium involucellatum,28.003611,98.473889 +Trachydium roylei,35.4242,99.3881 +Trachydium simplicifolium,26.876096,100.229945 +Trachydium subnudum,28.85,90.45 +Trachyspermum scaberulum var. ambrosiifolium,0,0 +Trachyspermum scaberulum var. scaberulum,35.86,104.2 +Trachyspermum triradiatum,30.004589,99.107741 +Vicatia bipinnata,31.905842,102.206261 +Vicatia coniifolia,28.66,97.46 +Vicatia thibetica,29.7385,91.1148 diff --git "a/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/\346\211\200\346\234\211\346\240\207\346\234\254\344\277\241\346\201\257.csv" "b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/\346\211\200\346\234\211\346\240\207\346\234\254\344\277\241\346\201\257.csv" new file mode 100644 index 0000000..66f739f --- /dev/null +++ "b/appkits/qpyapp/src/revisited/r_usecases/crawler/cn_plants/\346\211\200\346\234\211\346\240\207\346\234\254\344\277\241\346\201\257.csv" @@ -0,0 +1,54523 @@ +中文名,拉丁名,采集人,采集号,采集时间,采集地,海拔,生境,习性,物候期,图片链接,本地图片链接,,,,,,,,, +细瘦六道木,Abelia forrestii,"田效文,汤宗孝,张正华",55,19810527,云南省,1650,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01212062.jpg,,,,,,,,,, +细瘦六道木,Abelia forrestii,K.M.Feng,2956,19390904,四川省,2000,On open stony slopes,,有花有果,https://image.cvh.ac.cn/files/l/PE/00731593.jpg,,,,,,,,,, +细瘦六道木,Abelia forrestii,田代科,20280,20000801,,50,温室栽培,引种中国云南省,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1254450.jpg,,,,,,,,,, +小叶六道木,Abelia parvifolia,安明态,2004015,20041106,贵州省,1300,树木园,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240149.jpg,,,,,,,,,, +小叶六道木,Abelia parvifolia,C.S.Cheng et al.,SI1171,20100604,四川省,1262,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101956.jpg,,,,,,,,,, +小叶六道木,Abelia parvifolia,"H.Li,S.X.Yang,R.Li etc.",354,20020816,云南省,2450,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091305.jpg,,,,,,,,,, +伞花六道木,Abelia umbellata,青藏队,10861,19820928,西藏自治区,2200~2300,山坡路边灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01212320.jpg,,,,,,,,,, +伞花六道木,Abelia umbellata,T.T.Yu,s.n.,19480000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01212278.jpg,,,,,,,,,, +伞花六道木,Abelia umbellata,青藏队,9973,19820906,云南省,2300,山坡针阔混交林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01212274.jpg,,,,,,,,,, +黄蜀葵,Abelmoschus manihot,北京队,897085,19890912,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02000014.jpg,,,,,,,,,, +黄蜀葵,Abelmoschus manihot,壶瓶山考察队,A81,19871011,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01861308.jpg,,,,,,,,,, +黄蜀葵,Abelmoschus manihot,王印政等,5104,19981028,云南省,650,山地路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802289.jpg,,,,,,,,,, +察隅冷杉,Abies chayuensis,"李渤生,程树志,倪志诚",7258,19830902,西藏自治区,3800,山坡阳坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073443.jpg,,,,,,,,,, +,Abies chayuensis,高信芬、涂卫国、何海、乔永康,7107,20030907,西藏,3750,路边灌丛,稀疏树木,乔木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0187977.jpg,,,,,,,,,, +,Abies densa,张宪春,5234,20081022,西藏自治区,3150,针叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01963433.jpg,,,,,,,,,, +,Abies densa,W.Y.Hsia,6344,19390825,甘肃省,1800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00058251.jpg,,,,,,,,,, +,Abies densa,姜恕,2933,19610523,四川省,3060,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00058249.jpg,,,,,,,,,, +冷杉,Abies fabri,横断山队植被组,4848,19830805,四川省,3500~4000,阴坡沟谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044053.jpg,,,,,,,,,, +,Abies fargesii var. faxoniana,赖世登,SP82-03-10A,19820621,四川省,3200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00982734.jpg,,,,,,,,,, +,Abies fargesii var. faxoniana,冯自诚,140,19740405,甘肃省,2950,山坡上部,,有花无果,https://image.cvh.ac.cn/files/l/PE/00207173.jpg,,,,,,,,,, +中甸冷杉,Abies ferreana,横断山队植被组,4523,19830708,云南省,4350,阴坡冷杉林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044045.jpg,,,,,,,,,, +中甸冷杉,Abies ferreana,林型组,95,19550000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00005245.jpg,,,,,,,,,, +川滇冷杉,Abies forrestii,"陈伟烈,陈家瑞,郭柯等",6484,19840619,四川省,3800,云杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046075.jpg,,,,,,,,,, +川滇冷杉,Abies forrestii,生态室,,19810712,云南省,3250,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044028.jpg,,,,,,,,,, +川滇冷杉,Abies forrestii,生态室,H-13(1),19810719,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044026.jpg,,,,,,,,,, +长苞冷杉(原变种),Abies georgei var. georgei,方震东,刘琳,海仙,LL589,20080520,云南省,3651,普达措属都湖,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 005747.jpg,,,,,,,,,, +长苞冷杉(原变种),Abies georgei var. georgei,方震东,2005,20020905,云南,3400,,乔木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009023.jpg,,,,,,,,,, +怒江冷杉,Abies nukiangensis,北京植物所横断山队,338,19810601,云南省,3000~3700,在高山阴暗针叶林带上部组成群落,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043976.jpg,,,,,,,,,, +怒江冷杉,Abies nukiangensis,俞德浚,22956,,云南省 ,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0140529.jpg,,,,,,,,,, +紫果冷杉,Abies recurvata,"陈伟烈,陈家瑞,郭柯等",7595,19840711,四川省,2800,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067965.jpg,,,,,,,,,, +紫果冷杉,Abies recurvata,邱祖青,89-1612,19890710,甘肃省,2400,水边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00206939.jpg,,,,,,,,,, +西藏冷杉,Abies spectabilis,"李渤生,李辉",14238,19901013,西藏自治区,3300~3400,亚高山针叶林优势种,,无花有果,https://image.cvh.ac.cn/files/l/PE/02084021.jpg,,,,,,,,,, +西藏冷杉,Abies spectabilis,F.Miyamoto et al.,9580041,19950721,,3100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01899145.jpg,,,,,,,,,, +鳞皮冷杉,Abies squamata,"陈伟烈,陈家瑞,郭柯等",6798,19840625,四川省,3400,铁杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046162.jpg,,,,,,,,,, +磨盘草,Abutilon indicum,广西调查队,163,19550522,广西壮族自治区,,村庄,,无花有果,https://image.cvh.ac.cn/files/l/PE/02000005.jpg,,,,,,,,,, +磨盘草,Abutilon indicum,T.Y.A.Yang et al.,15400,20021019,台湾省,64,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925236.jpg,,,,,,,,,, +磨盘草,Abutilon indicum,"张寿洲,李良千等",17,20050414,广东省,50,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01808191.jpg,,,,,,,,,, +圆锥苘麻,Abutilon paniculatum,G.Forrest,29217,19300000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01286113.jpg,,,,,,,,,, +圆锥苘麻,Abutilon paniculatum,T.T.Yu,7323,19370719,四川省,2300,road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01286111.jpg,,,,,,,,,, +小合欢,Acacia concinna,陈念劬,42647,19310415,广东省,0,,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0158722.jpg,,,,,,,,,, +小合欢,Acacia concinna,蒋英,16589,19410108,香港,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0158726.jpg,,,,,,,,,, +光叶金合欢,Acacia delavayi,780植被组,22,19781026,云南省,,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01487564.jpg,,,,,,,,,, +光叶金合欢,Acacia delavayi,田效文,48,19840807,四川省,1400,大渡河谷山地灌草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01140478.jpg,,,,,,,,,, +金合欢,Acacia farnesiana,C.M.Wang & C.H.Chu,1341,19941124,台湾省,80,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01781731.jpg,,,,,,,,,, +金合欢,Acacia farnesiana,,6232,19570217,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01684627.jpg,,,,,,,,,, +金合欢,Acacia farnesiana,王裕珠,Y0401,19781031,云南省,1000~1300,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487562.jpg,,,,,,,,,, +羽叶金合欢,Acacia pennata,中苏队,9391,19570419,云南省,600,平原阳处疏林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090285.jpg,,,,,,,,,, +羽叶金合欢,Acacia pennata,广西队,420,19550620,广西壮族自治区,200,山地、山坡、灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01965773.jpg,,,,,,,,,, +羽叶金合欢,Acacia pennata,刘金魁,848,20041106,湖南省,500,江岸,山地黄壤,光:强,湿度:干,,无花有果,https://image.cvh.ac.cn/files/l/PE/01710209.jpg,,,,,,,,,, +云南相思树,Acacia yunnanensis,青藏队,13394,19830825,四川省,1900,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/00327237.jpg,,,,,,,,,, +云南相思树,Acacia yunnanensis,K.M.Feng,2555,19391112,云南省,,On open hills,,无花有果,https://image.cvh.ac.cn/files/l/PE/00327232.jpg,,,,,,,,,, +,Acalypha mairei,"于胜祥,侯元同,张晓霞等",4791,20110802,四川省,,沿途路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045163.jpg,,,,,,,,,, +,Acalypha mairei,红水河植物考察队,89-1508,19890521,广西壮族自治区,750,石灰岩灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045160.jpg,,,,,,,,,, +,Acalypha schneideriana,T.T.Yu,3642,19340809,四川省,700,mt.slope grassy place,,有花有果,https://image.cvh.ac.cn/files/l/PE/00872452.jpg,,,,,,,,,, +,Acalypha schneideriana,T.T.Yu,5178,19370429,云南省,2200,under woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00872451.jpg,,,,,,,,,, +,Acalypha supera,喻勋林 徐永福 黄娟,80183,20080819,湖北省,1100,路旁岩石,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239577.jpg,,,,,,,,,, +,Acalypha supera,赵佐成,3084,19931008,四川省,1500,林下湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239575.jpg,,,,,,,,,, +,Acalypha supera,刘正宇,16122,19951016,贵州省,700,房屋边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239573.jpg,,,,,,,,,, +多花脆兰,Acampe rigida,HK kadoorie Team,,20010512,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02097147.jpg,,,,,,,,,, +多花脆兰,Acampe rigida,广西队,3352,19530809,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01997803.jpg,,,,,,,,,, +多花脆兰,Acampe rigida,"张寿洲,李良千等",2050,20050529,广东省,0~50,沟边石缝,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914705.jpg,,,,,,,,,, +,Acanthocalyx alba,D.E.Boufford et al.,40553,20090716,西藏自治区,3600~3650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917903.jpg,,,,,,,,,, +,Acanthocalyx alba,D.E.Boufford et al.,36008,20060807,四川省,4330~4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912003.jpg,,,,,,,,,, +,Acanthocalyx alba,Ho Ting-nung Bruce Bartholomew & Mike Gilbert,331,19930726,青海省,3450~3550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621429.jpg,,,,,,,,,, +,Acanthocalyx nepalensis,王文广等,2318,20140716,四川省,2540~3200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918888.jpg,,,,,,,,,, +,Acanthocalyx nepalensis,,272,19590613,西藏自治区,4380,牧场草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01164291.jpg,,,,,,,,,, +,Acanthocalyx nepalensis subsp. delavayi,青藏队,7624,19820626,西藏自治区,3200,山坡云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621426.jpg,,,,,,,,,, +,Acanthocalyx nepalensis subsp. delavayi,汤宗孝等,571,19810714,云南省,3150,山腰马尾松疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01442403.jpg,,,,,,,,,, +,Acanthocalyx nepalensis subsp. delavayi,汤宗孝等,252,19820708,四川省,3920,灌丛下路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01442397.jpg,,,,,,,,,, +芒苞草,Acanthochlamys bracteata,高宝苑,2001648,20010608,四川省,,干旱河谷 灌丛 边缘山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01642154.jpg,,,,,,,,,, +芒苞草,Acanthochlamys bracteata,郭永杰、亚吉东、苏勇,14CS9419,20140717,四川,2750,河谷,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1392991.jpg,,,,,,,,,, +芒苞草,Acanthochlamys bracteata,新疆考察队,6955,19580803,新疆维吾尔自治区,1825,石山,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0359181.jpg,,,,,,,,,, +刺叶彩花,Acantholimon alatavicum,郭柯等,天山-654,19860817,新疆维吾尔自治区,1895,石质荒漠,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805817.jpg,,,,,,,,,, +刺叶彩花,Acantholimon alatavicum,孙航,邓涛等,17039,20140507,,1831,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1253870.jpg,,,,,,,,,, +刺叶彩花,Acantholimon alatavicum,Schultze-Motel,218,19600622,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/174237.jpg,,,,,,,,,, +细叶彩花,Acantholimon borodinii,中国科学院新疆综合考察队,K-244,19590610,新疆维吾尔自治区,2800,高山草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/00748671.jpg,,,,,,,,,, +小叶彩花,Acantholimon diapensioides,"李渤生,郑度,张百平",10373,19870703,新疆维吾尔自治区,3400,stipa 草原时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345141.jpg,,,,,,,,,, +小叶彩花,Acantholimon diapensioides,西植新疆队,2212,1978/8/3,新疆维吾尔族自治区,3500,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0337903.jpg,,,,,,,,,, +小叶彩花,Acantholimon diapensioides,西植新疆队,980,1978/7/5,新疆,4100,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0334175.jpg,,,,,,,,,, +彩花,Acantholimon hedinii,"李渤生,郑度,张百明",10304,19870629,新疆维吾尔自治区,2900~3300,山坡 草原常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345154.jpg,,,,,,,,,, +彩花,Acantholimon hedinii,新疆考察队,9686,19590618,新疆维吾尔自治区 ,2630,石质冲积坡,凹沟中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0300018.jpg,,,,,,,,,, +彩花,Acantholimon hedinii,西植新疆队,1115,1978/7/6,新疆维吾尔族自治区,3950,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0334365.jpg,,,,,,,,,, +浩罕彩花,Acantholimon kokandense,中国科学院新疆综合考察队,9686,19590618,新疆维吾尔自治区,2630,石质洪积坡南8°凹沟中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00748676.jpg,,,,,,,,,, +浩罕彩花,Acantholimon kokandense,新疆采集队,1797,1978/7/30,新疆维吾尔族自治区,3000,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0336309.jpg,,,,,,,,,, +浩罕彩花,Acantholimon kokandense,,16,83.08.03,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00036466.jpg,,,,,,,,,, +石松彩花,Acantholimon lycopodioides,吴玉虎等,5054,19890815,新疆维吾尔自治区 ,4400,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/150757.jpg,,,,,,,,,, +石松彩花,Acantholimon lycopodioides,不祥,2007,19721010,西藏自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/31321.jpg,,,,,,,,,, +乌恰彩花,Acantholimon popovii,"李渤生,郑度,张百明",10035,19870617,新疆维吾尔自治区,2180,第三河沙岩上所见 局部优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345157.jpg,,,,,,,,,, +乌恰彩花,Acantholimon popovii,塔里木大学资源调查组,239,20060727,新疆,2843米,石质山坡,草本,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU01109.jpg,,,,,,,,,, +天山彩花,Acantholimon tianschanicum,"李渤生,郑度,张百平",10726,19870720,新疆维吾尔自治区,3100,山地 荒漠草原时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345450.jpg,,,,,,,,,, +天山彩花,Acantholimon tianschanicum,"李安仁,朱家柟",8244,1958/9/7,新疆维吾尔族自治区,2800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0256604.jpg,,,,,,,,,, +天山彩花,Acantholimon tianschanicum,马溶元,42,19440000,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00063873.jpg,,,,,,,,,, +五加,Acanthopanax gracilistylus,"刘演,于胜祥等",H0370,20030729,广西壮族自治区,450,山坡,疏林,红壤,,无花有果,https://image.cvh.ac.cn/files/l/PE/01991620.jpg,,,,,,,,,, +五加,Acanthopanax gracilistylus,覃海宁等,18693,20050425,江西省,210,山坡,林缘,林中,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01861619.jpg,,,,,,,,,, +五加,Acanthopanax gracilistylus,北京队,973,19880603,湖南省,800~900,路边林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01845161.jpg,,,,,,,,,, +,Acer caesium subsp. giraldii,白龙江考察队,1097,19980731,甘肃省,2600,山地 山坡 疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01556357.jpg,,,,,,,,,, +,Acer caesium subsp. giraldii,,s.n.,19820903,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495488.jpg,,,,,,,,,, +,Acer caesium subsp. giraldii,北京所横断山队,2618,19810804,云南省,3100,针叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01486891.jpg,,,,,,,,,, +长尾槭,Acer caudatum,PE西藏队,PE5911,20170905,西藏自治区,3020~3460,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330278.jpg,,,,,,,,,, +长尾槭,Acer caudatum,C.S.Chang et al.,SI0987,20100702,四川省,3056,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01924414.jpg,,,,,,,,,, +杈叶枫,Acer ceriferum,E.H.Wilson,1934,空,湖北,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0002012.jpg,,,,,,,,,, +杈叶枫,Acer ceriferum,朱和卿,312,,浙江,,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0181014.jpg,,,,,,,,,, +杈叶枫,Acer ceriferum,李洪钧,6880,19581006,湖北省,1120,山沟丛林,中等,乔木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00274895.jpg,,,,,,,,,, +怒江槭,Acer chienii,青藏队,8566,19820725,云南省,3000,Abies林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01128413.jpg,,,,,,,,,, +怒江槭,Acer chienii,C.R.Feng,26729,19330306,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00022887.jpg,,,,,,,,,, +青榨槭,Acer davidii,"高茂国,程子白,伍煜庭",116576,19820619,四川省,1425,路边坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02096212.jpg,,,,,,,,,, +青榨槭,Acer davidii,"董洪进,王泽欢,尹志坚",WM-0121,20160427,云南省,1300~1700,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090326.jpg,,,,,,,,,, +青榨槭,Acer davidii,川黔队,1684,19561012,贵州省,1450,山坡 疏密林中 岩石上 阴,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083561.jpg,,,,,,,,,, +毛花槭,Acer erianthum,广西调查队,1022,19530529,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998771.jpg,,,,,,,,,, +毛花槭,Acer erianthum,张寿洲等,1126,20130927,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01990516.jpg,,,,,,,,,, +毛花槭,Acer erianthum,巴山采集队,31,20080706,重庆市,1672,溪边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850673.jpg,,,,,,,,,, +桉状槭,Acer eucalyptoides,青藏队,5977,19750627,西藏自治区,2200,常阔叶林中,大乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/01612957.jpg,,,,,,,,,, +扇叶槭,Acer flabellatum,刘恩德等,4448,20150703,云南省,2677,山路边林灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02068770.jpg,,,,,,,,,, +扇叶槭,Acer flabellatum,红广渝,4101,20100731,四川省,1980,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059479.jpg,,,,,,,,,, +扇叶槭,Acer flabellatum,广西调查队,3169,19530804,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998756.jpg,,,,,,,,,, +丽江槭,Acer forrestii,朱大海,3760,20070524,四川省,2000,山坡林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821533.jpg,,,,,,,,,, +丽江槭,Acer forrestii,陈又生,7588,20070920,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01765897.jpg,,,,,,,,,, +黄毛槭,Acer fulvescens,"刘金鉴,段俊喜",262,19621024,陕西省,1150,山坡 山谷阴处 西北坡向 密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01470639.jpg,,,,,,,,,, +黄毛槭,Acer fulvescens,冯国楣,21647,19551104,云南省,2500,村中 路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01470638.jpg,,,,,,,,,, +黄毛槭,Acer fulvescens,"张秀实,任有铣",7200,19580919,四川省,2900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00926966.jpg,,,,,,,,,, +贡山槭,Acer kungshanense,C. W. Wang,67837,19350800,云南省,2800,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01896212.jpg,,,,,,,,,, +贡山槭,Acer kungshanense,"李渤生,程树志",4369,19830428,西藏自治区,2300,常绿阔叶林中 常叶乔木,,有花有果,https://image.cvh.ac.cn/files/l/PE/00888498.jpg,,,,,,,,,, +怒江光叶槭,Acer laevigatum var. salweenense,C.W.Wang 刘瑛,87819,19400315,云南省,1550,rock hill,,有花有果,https://image.cvh.ac.cn/files/l/PE/00888545.jpg,,,,,,,,,, +怒江光叶槭,Acer laevigatum var. salweenense,蔡希陶,55995,,云南省 ,0,,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0192195.jpg,,,,,,,,,, +来苏槭,Acer laisuense,C.S.Chang et al.,SI1054,20100703,四川省,2606,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924424.jpg,,,,,,,,,, +来苏槭,Acer laisuense,刘林翰,15386,19621029,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00138347.jpg,,,,,,,,,, +兰坪槭,Acer lanpingense,冯国楣,21093,19551030,云南省,2700,溪旁 密林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00023346.jpg,,,,,,,,,, +兰坪槭,Acer lanpingense,84级林学,60852,19860509,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/CCAU/ccau0003960.jpg,,,,,,,,,, +疏花槭,Acer laxiflorum,陈又生,8157,20080917,四川省,2600,in forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113602.jpg,,,,,,,,,, +疏花槭,Acer laxiflorum,广西调查队,4219,195306,广西壮族自治区,,山顶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998747.jpg,,,,,,,,,, +楠叶槭,Acer machilifolium,T.T.Yu,21054,19381121,云南省,1600,Among woods,tree,有花有果,https://image.cvh.ac.cn/files/l/PE/00935415.jpg,,,,,,,,,, +,Acer machilifolium,K.Tanimoto etc,252,19790717,,100~500,,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0192560.jpg,,,,,,,,,, +五尖槭,Acer maximowiczii,"谭仲明,赵清盛",119259,19830601,四川省,2700,山地林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098176.jpg,,,,,,,,,, +五尖槭,Acer maximowiczii,"李良千,王忠涛,杜玉芬,卫然",36,20110901,甘肃省,2084,山坡灌木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914052.jpg,,,,,,,,,, +五尖槭,Acer maximowiczii,Y.S.Chen(陈又生),8109,20080824,陕西省,1800,"In forests,in valley",,无花有果,https://image.cvh.ac.cn/files/l/PE/01910790.jpg,,,,,,,,,, +飞蛾槭,Acer oblongum,巴山采集队,5976,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066195.jpg,,,,,,,,,, +飞蛾槭,Acer oblongum,巴山采集队,6197,20120708,四川省,700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066196.jpg,,,,,,,,,, +飞蛾槭,Acer oblongum,丁小平,108,20050626,江西省,200,山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/02063871.jpg,,,,,,,,,, +少果槭,Acer oligocarpum,青藏队植被组,3063,19740903,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839774.jpg,,,,,,,,,, +少果槭,Acer oligocarpum,陈伟烈,Y0451,19781115,云南省,2000,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01486881.jpg,,,,,,,,,, +五裂槭,Acer oliverianum,湖北神农架植物考察队,32374,19760811,湖北省,1700,山坡公路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086748.jpg,,,,,,,,,, +五裂槭,Acer oliverianum,"张志耘,李良千等",2014-114,20140519,江西省,900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014874.jpg,,,,,,,,,, +五裂槭,Acer oliverianum,"李良千,王忠涛,杜玉芬,卫然",230,20110912,甘肃省,2017~2110,林缘沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914055.jpg,,,,,,,,,, +金沙槭,Acer paxii,陈又生等,11-067,20110728,四川省,1800,山沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967763.jpg,,,,,,,,,, +金沙槭,Acer paxii,刘冰,883,20070616,广西壮族自治区,250,栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/01958054.jpg,,,,,,,,,, +金沙槭,Acer paxii,毕节队,230,19590710,贵州省,2000,山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629324.jpg,,,,,,,,,, +尖尾篦齿槭,Acer pectinatum f. caudatilobum,C.W.Wang,69793,19350900,云南省 ,3000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0416035.jpg,,,,,,,,,, +尖尾篦齿槭,Acer pectinatum f. caudatilobum,T.T.Yu,11592,19380605,云南省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0416037.jpg,,,,,,,,,, +五小叶槭,Acer pentaphyllum,陈又生,7548,20071014,四川省,2673~2834,山坡疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01781946.jpg,,,,,,,,,, +五小叶槭,Acer pentaphyllum,T.T.Yu,6354,19370617,云南省,2500,among woods in valley,,有花有果,https://image.cvh.ac.cn/files/l/PE/00908657.jpg,,,,,,,,,, +,Acer pubipetiolatum,青藏队,8209,19820720,云南省,,常绿阔叶林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01128393.jpg,,,,,,,,,, +毛柄槭,Acer pubipetiolatum,刘恩德,方伟等,3562,20120323,云南省 ,2293,in forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1228501.jpg,,,,,,,,,, +陕甘槭,Acer shenkanense,白水江采集队,4457,20070509,甘肃省,1250,山坡路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850039.jpg,,,,,,,,,, +陕甘槭,Acer shenkanense,58年秦岭队,446,19580923,陕西省,1300,山顶半阴处 山谷 路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01470701.jpg,,,,,,,,,, +陕甘槭,Acer shenkanense,陈又生,13,19980909,河南省,950,山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01064580.jpg,,,,,,,,,, +锡金槭,Acer sikkimense,PE西藏队,PE5724,20170903,西藏自治区,1683~2900,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330276.jpg,,,,,,,,,, +锡金槭,Acer sikkimense,川经植,1280,19590716,四川省,2300,山坡 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00909383.jpg,,,,,,,,,, +锡金槭,Acer sikkimense,包仕英,721,19870700,云南省,0,路边,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0194458.jpg,,,,,,,,,, +中华槭,Acer sinense,"董洪进,王泽欢,尹志坚",WM-0086,20160426,云南省,1200~1300,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090147.jpg,,,,,,,,,, +中华槭,Acer sinense,"张志耘,谢磊,张强",2015-270,20150509,广西壮族自治区,400,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064667.jpg,,,,,,,,,, +中华槭,Acer sinense,"龙茹,郑宝汇",90115,20090503,湖北省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989548.jpg,,,,,,,,,, +,Acer sterculiaceum subsp. franchetii,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",358,20130421,四川省,1800~2380,山坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994312.jpg,,,,,,,,,, +,Acer sterculiaceum subsp. franchetii,刘恩德,方伟等,3466,20120321,云南省,2490,forest margin,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1224494.jpg,,,,,,,,,, +房县槭,Acer sterculiaceum subsp. franchetii,李洪钧,6267,19580818,湖北省,,山坡路边林下,稀少,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00274883.jpg,,,,,,,,,, +,Acer tataricum subsp. ginnala,蔡杰,11CS2876,20110715,黑龙江省,400,山坡林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1333585.jpg,,,,,,,,,, +茶条枫,Acer tataricum subsp. ginnala,宋松泉,BJ028,20081008,北京,,沟谷,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1458504.jpg,,,,,,,,,, +茶条枫,Acer tataricum subsp. ginnala,"朱鑫鑫, 王君, 石琳琳, 徐坤, 王雨鑫",ZhuXX303,20171123,湖北,193,亚热带针阔混交林,路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1454502.jpg,,,,,,,,,, +巨果槭,Acer thomsonii,中苏调查团,5568,19550504,云南省,2160,疏林中 润湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/00926857.jpg,,,,,,,,,, +巨果槭,Acer thomsonii,刘成;冯明建;李昌洪;赵金超,21CS20308,20210323,云南,2026,常绿阔叶林林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1551122.jpg,,,,,,,,,, +察隅槭,Acer tibetense,FLPH Tibet Expedition,12-1181,,西藏自治区,,山谷河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01979929.jpg,,,,,,,,,, +粗柄槭,Acer tonkinense,Anonymous,6,197308,广西壮族自治区,600,石灰岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01999276.jpg,,,,,,,,,, +粗柄槭,Acer tonkinense,中越考察队,376,19641211,,1550~1600,林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/00926070.jpg,,,,,,,,,, +滇藏槭,Acer wardii,唐宇丹等,PX037(2006-2706,20061009,西藏自治区,3578,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983342.jpg,,,,,,,,,, +滇藏槭,Acer wardii,"Jin Xh,Wang LS,Wang Q et al.",ST2210,20130805,云南省,2000~3400,apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01978683.jpg,,,,,,,,,, +三峡槭,Acer wilsonii,张志松等,401964,19640606,贵州省,1150,河谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01821149.jpg,,,,,,,,,, +三峡槭,Acer wilsonii,赵常明,EX0805,20070912,湖北省,1100,阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01789811.jpg,,,,,,,,,, +三峡槭,Acer wilsonii,邓云飞,318,19870722,湖南省,1000,山坡路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629410.jpg,,,,,,,,,, +瘦果川甘槭,Acer yui var. leptocarpum,冯国楣,22162,19620424,云南省,1850,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0436882.jpg,,,,,,,,,, +瘦果川甘槭,Acer yui var. leptocarpum,T.N.Liou,18834,19410412,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0436883.jpg,,,,,,,,,, +林阴芨芨草,Achnatherum chingii var. laxum,"李渤生,李辉,阳艺",13767,19900912,西藏自治区,3700,Betula林下常见草本,,无花无果,https://image.cvh.ac.cn/files/l/PE/01506724.jpg,,,,,,,,,, +林阴芨芨草,Achnatherum chingii var. laxum,,9336,19750718,四川省,3900,谷坡中上部 暗针叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00052399.jpg,,,,,,,,,, +远东芨芨草,Achnatherum extremiorientale,北师大,961061,19980818,北京市,1100,草丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01951463.jpg,,,,,,,,,, +远东芨芨草,Achnatherum extremiorientale,郭成勇,20065-319-8,20060825,山东省,450,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929204.jpg,,,,,,,,,, +远东芨芨草,Achnatherum extremiorientale,承德队,1500,19710904,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820888.jpg,,,,,,,,,, +异颖芨芨草,Achnatherum inaequiglume,白水江采集队,681,20060629,甘肃省,1500,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01824977.jpg,,,,,,,,,, +异颖芨芨草,Achnatherum inaequiglume,汤宗孝,1510,19830725,四川省,1800,干旱河谷山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487087.jpg,,,,,,,,,, +醉马草,Achnatherum inebrians,"王文中,田景全,秦绍英",871,19560904,山西省,1750,草地阳处路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233322.jpg,,,,,,,,,, +醉马草,Achnatherum inebrians,"李安仁,朱家柟",5966,19580903,新疆维吾尔自治区,1800,老河岸小砂丘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233229.jpg,,,,,,,,,, +醉马草,Achnatherum inebrians,中科院植物所 青海队,495,19580324,青海省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233230.jpg,,,,,,,,,, +干生芨芨草,Achnatherum jacquemontii,青藏队植被组,8843,19760703,西藏自治区,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01469998.jpg,,,,,,,,,, +干生芨芨草,Achnatherum jacquemontii,黄文娟,段黄金等,LiZJ0357,20080906,新疆,3371,山脚山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1399604.jpg,,,,,,,,,, +朝阳芨芨草,Achnatherum nakaii,,216,,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00173876.jpg,,,,,,,,,, +朝阳芨芨草,Achnatherum nakaii,P.Licent S.J.,9978,19300825,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00173875.jpg,,,,,,,,,, +朝阳芨芨草,Achnatherum nakaii,山西队,551,19530817,山西省,1730,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00173874.jpg,,,,,,,,,, +京芒草,Achnatherum pekinense,郭成勇,20061-369-8,20060825,山东省,480,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233311.jpg,,,,,,,,,, +京芒草,Achnatherum pekinense,河北中草药普查队,834,19721012,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233312.jpg,,,,,,,,,, +京芒草,Achnatherum pekinense,东北队,115,19540819,黑龙江省,,山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233308.jpg,,,,,,,,,, +光药芨芨草,Achnatherum psilantherum,王文中,3141,19540724,青海省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233320.jpg,,,,,,,,,, +光药芨芨草,Achnatherum psilantherum,张志英,2642,19590526,甘肃省,1400,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233238.jpg,,,,,,,,,, +毛颖芨芨草,Achnatherum pubicalyx,东北队,114,19540819,黑龙江省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233321.jpg,,,,,,,,,, +毛颖芨芨草,Achnatherum pubicalyx,黄河队,2363,19550829,山西省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00173940.jpg,,,,,,,,,, +毛颖芨芨草,Achnatherum pubicalyx,王光正,299,19511013,河北省,,山上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00173939.jpg,,,,,,,,,, +,Achnatherum saposhnikovii,何廷农,978,19890721,青海省,2600,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0216985.jpg,,,,,,,,,, +羽茅,Achnatherum sibiricum,陈全胜,CF-0004-102,20170822,内蒙古自治区,1853,石质缓坡草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246910.jpg,,,,,,,,,, +羽茅,Achnatherum sibiricum,段俊喜,691,19560724,河北省,1480,阳坡 陡 灌木丛中 阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233318.jpg,,,,,,,,,, +羽茅,Achnatherum sibiricum,东北队,64,19540805,黑龙江省,160,平原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233319.jpg,,,,,,,,,, +芨芨草,Achnatherum splendens,胡叔良等,180,19560811,甘肃省,3100,山谷阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233310.jpg,,,,,,,,,, +芨芨草,Achnatherum splendens,段长虹,Dch0394,20140719,山西省,1132,农田地畔,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233198.jpg,,,,,,,,,, +芨芨草,Achnatherum splendens,秦仁昌,432,19560719,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115997.jpg,,,,,,,,,, +,Achyranthes aspera var. aspera,"郭永杰, 李涟漪, 李培, 杨映虹",16CS13762,20161021,浙江,34,公路边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1451330.jpg,,,,,,,,,, +土牛膝(原变种) ,Achyranthes aspera var. aspera,赵以民、葛玉珍、黄颖锋、陆萃红、李金花,451030121026007LY,20121026,广西壮族自治区,782,,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0154234.jpg,,,,,,,,,, +土牛膝,Achyranthes aspera var. aspera,K4一组,9,20180704,河南,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0018120.jpg,,,,,,,,,, +钝叶土牛膝,Achyranthes aspera var. indica,"税玉良,陈文红等",70381,20060312,云南省,1600~1700,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859344.jpg,,,,,,,,,, +钝叶土牛膝,Achyranthes aspera var. indica,青藏队,12019,19830714,四川省,1230,江边灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01063483.jpg,,,,,,,,,, +牛膝,Achyranthes bidentata,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1009,20021108,云南省,2520,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100230.jpg,,,,,,,,,, +牛膝,Achyranthes bidentata,巴山采集队,3615,20100726,四川省,610,林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059872.jpg,,,,,,,,,, +牛膝,Achyranthes bidentata,巴山采集队,3367,20100727,陕西省,602,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059869.jpg,,,,,,,,,, +西藏鳞果草,Achyrospermum wallichianum,South Tibet Exp.Team (Jin Xiaohua etc.),STET1970,20100802,西藏自治区,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328486.jpg,,,,,,,,,, +西藏鳞果草,Achyrospermum wallichianum,杨竞生,945,19911001,四川省,2000,沟边草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/211208.jpg,,,,,,,,,, +西藏鳞果草,Achyrospermum wallichianum,香料植物考察队,130,19840628,云南省,2550,沟内,,有花无果,https://image.cvh.ac.cn/files/l/KUN/216211.jpg,,,,,,,,,, +,Acmella paniculata,陈添财,12207,20030215,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235989.jpg,,,,,,,,,, +,Acmella paniculata,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-1108-T05-003174,20171214,,338,Under the forest,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1458899.jpg,,,,,,,,,, +,Acmella paniculata,"彭华, 向春雷, 陈丽, 董朝辉, 刘艳春",P.H.5691,20071230,云南,800,无,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444720.jpg,,,,,,,,,, +光果羽叶花,Acomastylis elata var. leiocarpa,茂汶组,2632,19590614,四川省,3560,高山?地草坡中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00549706.jpg,,,,,,,,,, +光果羽叶花,Acomastylis elata var. leiocarpa,T.P.Wang,1841,19330805,陕西省,3700,on damp summit,,有花无果,https://image.cvh.ac.cn/files/l/PE/00549704.jpg,,,,,,,,,, +光果羽叶花,Acomastylis elata var. leiocarpa,不祥,?,198608?,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/139856.jpg,,,,,,,,,, +冷杉林乌头,Aconitum abietetorum,刘伦辉等,s.n.,19830905,四川省,3800,冷杉林缘,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00025058.jpg,,,,,,,,,, +冷杉林乌头,Aconitum abietetorum,刘恩德,5846,20020820,云南省,3200,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/KUN/796882.jpg,,,,,,,,,, +冷杉林乌头,Aconitum abietetorum,黄河调查队,3301,1956,甘肃省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/759241.jpg,,,,,,,,,, +展毛尖萼乌头,Aconitum acutiusculum var. aureopilosum,T.T.Yu,9671,19370820,云南省,4100,Mt.grassy slope,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00025060.jpg,,,,,,,,,, +,Aconitum acutiusculum var. aureopilosum,T. T. Yu,9671,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038350.jpg,,,,,,,,,, +淡黄乌头,Aconitum alboflavidum,郎楷永 李勃生 李良千,3796,19810825,云南省,3800,冷杉林伐草地时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00025066.jpg,,,,,,,,,, +高峰乌头,Aconitum alpinonepalense,西藏中草药普查队,1750,19720903,西藏自治区,4100,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865475.jpg,,,,,,,,,, +展毛短柄乌头,Aconitum brachypodum var. laxiflorum,"D.E.Boufford,J.F.Harber & X.H.Li",43332,20130831,云南省,3890,open dry meadows and wet boggy meadow on gentle slope above lake,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044315.jpg,,,,,,,,,, +展毛短柄乌头,Aconitum brachypodum var. laxiflorum,张钢民,600,20020912,四川省,3500,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865515.jpg,,,,,,,,,, +,Aconitum bracteolatum,"Ludlow, Francis & Sherriff, George",509,1-Sep-33,,,,,,https://image.cvh.ac.cn/files/l/E/E00438669.jpg,,,,,,,,,, +显苞乌头,Aconitum bracteolosum,PE-Xizang Expedition,PE6675,20170914,西藏自治区,3934,Slopes near roadsides,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293687.jpg,,,,,,,,,, +显苞乌头,Aconitum bracteolosum,杨竞生,8119,19760720,云南省,4800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025073.jpg,,,,,,,,,, +,Aconitum brevicalcaratum var. parviflorum,冯国楣,22582,19590808,云南省,3600,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00243067.jpg,,,,,,,,,, +,Aconitum brevicalcaratum var. parviflorum,"Yü, Tse-tsun",15389,1-Aug-37,,,,,,https://image.cvh.ac.cn/files/l/E/E00438757.jpg,,,,,,,,,, +,Aconitum brevilimbum,"Ludlow, Frank: Sherriff, George & Taylor, George",5937,25-Jul-37,,,,,,https://image.cvh.ac.cn/files/l/E/E00438670.jpg,,,,,,,,,, +乌头属,Aconitum brevilimbum,西藏生物所植物资源队,3719,19830823,西藏,4100,高山灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001603.jpg,,,,,,,,,, +短瓣乌头,Aconitum brevipetalum,T.T.Yu,8940,19370712,云南省,4000,Mt.stream side,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00025078.jpg,,,,,,,,,, +短瓣乌头,Aconitum brevipetalum,,362,19840919,四川省,4200,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00175348.jpg,,,,,,,,,, +,Aconitum brevipetalum,T. T. Yu,8940,1937,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00107178.jpg,,,,,,,,,, +褐紫乌头,Aconitum brunneum,D.E.Boufford et al.,39237,20070807,四川省,3720~4100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859785.jpg,,,,,,,,,, +褐紫乌头,Aconitum brunneum,K.T.Fu,1564,19370823,甘肃省,3900,on hill slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/00243073.jpg,,,,,,,,,, +弯喙乌头,Aconitum campylorrhynchum,罗艳,332c,20010819,四川省,3300,路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01865391.jpg,,,,,,,,,, +弯喙乌头,Aconitum campylorrhynchum,"朱相云,覃海宁等",20189,20001016,甘肃省,2280,"山坡,灌丛中",,有花无果,https://image.cvh.ac.cn/files/l/PE/00558627.jpg,,,,,,,,,, +察瓦龙乌头,Aconitum changianum,"何铸,周子林",14007,19520000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00243355.jpg,,,,,,,,,, +察瓦龙乌头,Aconitum changianum,王启无,65934,19350800,西藏自治区,3500,S-slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025163.jpg,,,,,,,,,, +,Aconitum changianum,蔡希陶,57902,19340914,云南省,2600,林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/109844.jpg,,,,,,,,,, +祈连山乌头,Aconitum chilienshanicum,河西队,404,19670819,甘肃省,3400,"水旁,草甸",,有花无果,https://image.cvh.ac.cn/files/l/PE/00243356.jpg,,,,,,,,,, +祁连山乌头,Aconitum chilienshanicum,不祥,1760,19620727,青海省,3900,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0219496.jpg,,,,,,,,,, +黄毛乌头,Aconitum chrysotrichum,D.E.Boufford et al.,34843,20050814,四川省,4460,Sandy areas,,有花无果,https://image.cvh.ac.cn/files/l/PE/01459385.jpg,,,,,,,,,, +黄毛乌头,Aconitum chrysotrichum,张大才,尹五元,李双智,丁文谦,何廷顺,侯雄辉,张明启,ZhangDC-07ZX-2170,20110918,四川,4039,高山灌丛,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230941.jpg,,,,,,,,,, +拟哈巴乌头,Aconitum chuianum,中甸队,1335,19620825,云南省,3800,山坡灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025185.jpg,,,,,,,,,, +绰斯甲乌头,Aconitum chuosjiaense,李谱雄,10469,19580813,四川省,3400,云杉林中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00025186.jpg,,,,,,,,,, +革叶乌头,Aconitum coriaceifolium,王清泉,21462,19790810,四川省,2400,乱石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934591.jpg,,,,,,,,,, +厚叶乌头,Aconitum coriophyllum,杨竞生,8651,19760817,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00356495.jpg,,,,,,,,,, +厚叶乌头,Aconitum coriophyllum,Hand.-Mzt.,2994,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00066618.jpg,,,,,,,,,, +,Aconitum coriophyllum,"Handel-Mazzetti, Heinrich",12994,18-Oct-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00386235.jpg,,,,,,,,,, +粗茎乌头,Aconitum crassicaule,K.M.Feng,7646,19400908,云南省,3000,沟边杂林中,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00025190.jpg,,,,,,,,,, +粗茎乌头,Aconitum crassicaule,赵文李、陶小强,BSGLGSly3359,20201125,云南,2366,荒山坡,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1556845.jpg,,,,,,,,,, +粗花乌头,Aconitum crassiflorum,北京所横断山队,2810,19810810,云南省,3700~3800,冷杉林下空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486168.jpg,,,,,,,,,, +粗花乌头,Aconitum crassiflorum,D.E.Boufford et al.,37334,20060826,四川省,3630~3675,Remnant Picea-Abies forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01459387.jpg,,,,,,,,,, +叉苞乌头,Aconitum creagromorphum,青藏队,74-2841,19740909,西藏自治区,4680,山坡草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00243425.jpg,,,,,,,,,, +,Aconitum creagromorphum,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13334,18-Oct-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00438655.jpg,,,,,,,,,, +马耳山乌头,Aconitum delavayi,Q.E.Yang and Q.Yuan,181,20030919,云南省,2600,scrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350374.jpg,,,,,,,,,, +马耳山乌头,Aconitum delavayi,Q.E.Yang and Q.Yuan,211,20040831,四川省,2600,scrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/01349655.jpg,,,,,,,,,, +长柱乌头,Aconitum dolichorhynchum,,2114,19740810,西藏自治区,3500,路旁草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00558630.jpg,,,,,,,,,, +长序乌头,Aconitum dolichostachyum,罗建等,LuoJian-ML091,20090930,西藏自治区,3211,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898399.jpg,,,,,,,,,, +长序乌头,Aconitum dolichostachyum,杨竞生,90-640,1990-09-,西藏省,3700,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081053.jpg,,,,,,,,,, +长序乌头,Aconitum dolichostachyum,罗建,汪书丽,任德智,LiuJQ-09XZ-ML091,20090930,西藏,3212,山坡灌丛,,花标本,https://image.cvh.ac.cn/files/l/KUN/1230943.jpg,,,,,,,,,, +宾川乌头,Aconitum duclouxii,"杨亲二,孔宏智",98-442,19980920,云南省,3700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01956845.jpg,,,,,,,,,, +宾川乌头,Aconitum duclouxii,潘食根,2,198410,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/109696.jpg,,,,,,,,,, +宾川乌头,Aconitum duclouxii,蔡希陶,250,19560909,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00054249.jpg,,,,,,,,,, +藏南藤乌,Aconitum elwesii,,1437,19720823,西藏自治区,2300,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00243458.jpg,,,,,,,,,, +藏南藤乌,Aconitum elwesii,Ikeda,714061,20070815,甘肃,3120,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00022244.jpg,,,,,,,,,, +,Aconitum episcopale var. villosulipes,ACE,1136,19940922,云南省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814429.jpg,,,,,,,,,, +,Aconitum episcopale var. villosulipes,ACE,1136,19940922,云南,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814429.jpg,,,,,,,,,, +镰形乌头,Aconitum falciforme,D.E.Boufford et al.,43169,20130822,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063115.jpg,,,,,,,,,, +刷经寺乌头,Aconitum fangianum,李馨,74113,19570821,四川省,4200,山顶,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00025202.jpg,,,,,,,,,, +刷经寺乌头,Aconitum fangianum,余奇、熊先华、李琳霖,THP-KD-4827,20170814,四川,3932,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241563.jpg,,,,,,,,,, +伏毛铁棒锤,Aconitum flavum,PE-Xizang Expedition,PE5502,20170831,西藏自治区,4460,Alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293679.jpg,,,,,,,,,, +伏毛铁棒锤,Aconitum flavum,"杨亲二,袁琼",Yangqe2433,20080904,云南省,3300,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043171.jpg,,,,,,,,,, +独花乌头,Aconitum fletcheranum,F.Ludlow et al.,16846,19490715,,5167,Always amidst grass on rocks & cliffs,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025206.jpg,,,,,,,,,, +毛果丽江乌头,Aconitum forrestii var. albovillosum,裴盛基等,127,19871013,云南省,3200,荒坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1265197.jpg,,,,,,,,,, +毛果丽江乌头,Aconitum forrestii var. albovillosum,赵清盛 韦克华 杨亚兵,8377,19780902,四川,3250,沟边灌从中 ],草本,有花无果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0000632.jpg,,,,,,,,,, +,Aconitum gammiei,PE-Xizang Expedition,PE6644,20170914,西藏自治区,3934,Slopes near roadsides,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293688.jpg,,,,,,,,,, +低盔膝瓣乌头,Aconitum geniculatum var. humilius,李鸣,34,19860928,四川省,3500,"小溪边,杂草丛中",,有花有果,https://image.cvh.ac.cn/files/l/PE/00243720.jpg,,,,,,,,,, +低盔膝瓣乌头(变种),Aconitum geniculatum var. humilius,,326,19790811,四川,4000,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM704600442.jpg,,,,,,,,,, +长喙乌头,Aconitum georgei,"罗艳,陈又生",505b,20020824,云南省,2700,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865550.jpg,,,,,,,,,, +长喙乌头,Aconitum georgei,方震东,990447,19990629,云南,3270,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008985.jpg,,,,,,,,,, +,Aconitum georgei,"Forrest, George",15195,17-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00438747.jpg,,,,,,,,,, +格咱乌头,Aconitum gezaense,D.E.Boufford et al.,29243,19980726,四川省,4100~4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01578919.jpg,,,,,,,,,, +格咱乌头,Aconitum gezaense,杨竞生,83-396,19830826,云南省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025256.jpg,,,,,,,,,, +无毛乌头,Aconitum glabrisepalum,"王利松,叶建飞",69,20090803,四川省,3600,山坡草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01993734.jpg,,,,,,,,,, +无毛乌头,Aconitum glabrisepalum,张挺,刘成,郭永杰等,10CS2426,20100912,四川,1000,山坡林下,,花标本,https://image.cvh.ac.cn/files/l/KUN/1230956.jpg,,,,,,,,,, +露蕊乌头,Aconitum gymnandrum,PE-Xizang Expedition,PE5623,20170901,西藏自治区,4556,Alpine meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/02293694.jpg,,,,,,,,,, +露蕊乌头,Aconitum gymnandrum,"川西队,关克俭,王文采",632,19630717,四川省,3500,山坡草地或田边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087947.jpg,,,,,,,,,, +露蕊乌头,Aconitum gymnandrum,J.F.Rock.,12242,19250600,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005180.jpg,,,,,,,,,, +哈巴乌头,Aconitum habaense,中甸队,1346,19620825,云南省,3600,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025221.jpg,,,,,,,,,, +哈巴乌头,Aconitum habaense,中甸队,1346,19620825,云南,3600,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1203770.jpg,,,,,,,,,, +钩瓣乌头,Aconitum hamatipetalum,H.T.Tsai,54144,19330904,云南省,4500,on very cold mt.top,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00025225.jpg,,,,,,,,,, +钩瓣乌头,Aconitum hamatipetalum,蔡希陶,,0,新缰,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/109877.jpg,,,,,,,,,, +钩瓣乌头,Aconitum hamatipetalum,,852,19760824,四川省,0,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/109765.jpg,,,,,,,,,, +拳距瓜叶乌头,Aconitum hemsleyanum var. circinatum,PE-Xizang Expedition,PE5824,20170903,西藏自治区,3401,Slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293685.jpg,,,,,,,,,, +拳距瓜叶乌头,Aconitum hemsleyanum var. circinatum,"杨亲二,袁琼",Yangqe2310,20080818,云南省,2800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036014.jpg,,,,,,,,,, +拳距瓜叶乌头,Aconitum hemsleyanum var. circinatum,,829,19930921,四川省,2920,山坡林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993856.jpg,,,,,,,,,, +长距瓜叶乌头,Aconitum hemsleyanum var. elongatum,,461,19640902,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956836.jpg,,,,,,,,,, +长距瓜叶乌头,Aconitum hemsleyanum var. elongatum,H.T.Tsai,57902,19340914,云南省,2600,in forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/00025273.jpg,,,,,,,,,, +珠芽瓜叶乌头,Aconitum hemsleyanum var. hsiae,,75-1897,19750913,西藏自治区,2600,杂灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500557.jpg,,,,,,,,,, +毛瓣瓜叶乌头,Aconitum hemsleyanum var. pilopetalum,刘文忠,147-3,19851007,云南省,1900,生于山坡箐边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01956838.jpg,,,,,,,,,, +毛枝瓜叶乌头,Aconitum hemsleyanum var. puberulum,西藏生物所,4020,19630914,西藏自治区,3500,林缘灌丛中,缠绕藤本,有花有果,https://image.cvh.ac.cn/files/l/PE/00025244.jpg,,,,,,,,,, +爪盔瓜叶乌头,Aconitum hemsleyanum var. unguiculatum,毛品一,403,19560823,云南省,3100,山坡林边,草本攀援,有花无果,https://image.cvh.ac.cn/files/l/PE/00025243.jpg,,,,,,,,,, +毛果川鄂乌头,Aconitum henryi var. pilocarpum,,595,19821029,四川省,2150,山谷 溪边杂木林中,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934597.jpg,,,,,,,,,, +缺刻乌头,Aconitum incisofidum,Q.E.Yang and Q.Yuan,24,20030812,云南省,4300,meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865497.jpg,,,,,,,,,, +缺刻乌头,Aconitum incisofidum,成都药检所,28,19670814,四川省,3000,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00308236.jpg,,,,,,,,,, +滇北乌头,Aconitum iochanicum,青藏队,10109,19820908,西藏自治区,4000~4200,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00308247.jpg,,,,,,,,,, +滇北乌头,Aconitum iochanicum,杨常仁,7524,19750900,云南省,4100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00308246.jpg,,,,,,,,,, +滇北乌头,Aconitum iochanicum,郁文彬等,SCSB-W-1053,20080919,云南,2743,,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231243.jpg,,,,,,,,,, +吉隆乌头,Aconitum jilongense,李勃生 李辉 阳艺,13453,19900904,西藏自治区,3800,高山灌丛中时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934602.jpg,,,,,,,,,, +吉隆乌头,Aconitum jilongense,"张挺, 刘成, 亚吉东",18CS17689,20180916,西藏,3681,林缘路边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487363.jpg,,,,,,,,,, +九龙乌头,Aconitum jiulongense,九龙调查队,200,19790629,四川省,2500,田坑 地边 沟旁,多年草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934605.jpg,,,,,,,,,, +工布乌头,Aconitum kongboense var. kongboense,张挺、郭永杰、吴之坤、姜虹、李贵能,16CS13614,20160825,四川,4033,山坡,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1481415.jpg,,,,,,,,,, +多果工布乌头,Aconitum kongboense var. polycarpum,杨竞生,83-407,19830826,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025261.jpg,,,,,,,,,, +贡山乌头,Aconitum kungshanense,毛品一,416,19560825,云南省,3500,草坡溪旁,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00025263.jpg,,,,,,,,,, +贡山乌头,Aconitum kungshanense,邓向福,791387,19790803,云南,3450~2500,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/109713.jpg,,,,,,,,,, +光茎乌头,Aconitum laevicaule,北京所横断山队,2833,19810810,云南省,3900,冷杉林内草地时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934609.jpg,,,,,,,,,, +冕宁乌头,Aconitum legendrei,赵佐成,2100,19931004,四川省,2300,阳坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993748.jpg,,,,,,,,,, +光序乌头,Aconitum leiostachyum,,1560,19580718,四川,2720,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM704600524.jpg,,,,,,,,,, +类乌齐乌头,Aconitum leiwuqiense,"D.E.Boufford,J.H.Chen,S.L.Kelley et all",31711,20040804,西藏自治区,4325~4435,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993829.jpg,,,,,,,,,, +理县乌头,Aconitum lihsienense,西藏生物所植物组,4020,19830914,西藏自治区,3200~3500,林缘灌丛中,缠绕藤本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001577.jpg,,,,,,,,,, +马尔康乌头,Aconitum liljestrandii var. falcatum,岳俊三,宋国杰,庄体德,64115,19640903,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00175468.jpg,,,,,,,,,, +浅裂乌头,Aconitum lobulatum,木里调查队,710,19780916,四川省,,高山草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934610.jpg,,,,,,,,,, +长裂乌头,Aconitum longilobum,夏光成 米泰康,781,19600819,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00025274.jpg,,,,,,,,,, +,Aconitum longilobum,张泽云、周洪富,23825,1957-08-,四川省,3400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081231.jpg,,,,,,,,,, +长梗乌头,Aconitum longipedicellatum,Tibet Expedition,9,19950922,西藏自治区,3795,山谷沟底路边小壁灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993842.jpg,,,,,,,,,, +长梗乌头,Aconitum longipedicellatum,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993841.jpg,,,,,,,,,, +,Aconitum longipetiolatum,PE西藏队,PE6492,20170912,西藏自治区,3588,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309280.jpg,,,,,,,,,, +长枝乌头,Aconitum longiramosum,李馨,74405,19570903,四川省,3730,,草本,蔓生或攀援,有花有果,https://image.cvh.ac.cn/files/l/PE/00025276.jpg,,,,,,,,,, +江孜乌头,Aconitum ludlowii,PE西藏队,PE5349,20170828,西藏自治区,4019,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309287.jpg,,,,,,,,,, +江孜乌头,Aconitum ludlowii,毛康珊,任广朋,邹嘉宾,LiuJQ-QTP-2011-114,20110921,西藏,3852,温带山坡灌丛,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1231259.jpg,,,,,,,,,, +芦宁乌头,Aconitum luningense,梁永福等3人,Mar-83,19830906,四川省,3050,灌丛林下,藤状草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00025278.jpg,,,,,,,,,, +米林乌头,Aconitum milinense,夏光成 米泰康,810,19600828,西藏自治区,3950,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025282.jpg,,,,,,,,,, +乌头属,Aconitum milinense,西藏生物所植物资源队,3623,19830818,西藏,3500-3800,冰缘灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001607.jpg,,,,,,,,,, +小白撑,Aconitum nagarum var. heterotrichum,青藏队,10172,19820908,西藏自治区,3600~3800,山沟 灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01063541.jpg,,,,,,,,,, +小白撑,Aconitum nagarum var. heterotrichum,刘慎谔,21052,19461003,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00025080.jpg,,,,,,,,,, +小白撑,Aconitum nagarum var. heterotrichum,刀志灵,DZL889,20101116,云南,3130,杜鹃灌丛,草坡,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231266.jpg,,,,,,,,,, +船盔乌头,Aconitum naviculare,PE西藏队,PE5255,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309261.jpg,,,,,,,,,, +聂拉木乌头,Aconitum nielamuense,FLPH Tibet Expedition,12-0353,20120909,西藏自治区,3800~4200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01966626.jpg,,,,,,,,,, +垂花乌头,Aconitum nutantiflorum,王启无,65497,19350800,西藏自治区,2600,Under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025289.jpg,,,,,,,,,, +垂花乌头,Aconitum nutantiflorum,王启无,65498,1936/2/18,云南省,2600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0035692.jpg,,,,,,,,,, +德钦乌头,Aconitum ouvrardianum,青藏队,10482,19820918,西藏自治区,3500~3600,山坡云松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993825.jpg,,,,,,,,,, +德钦乌头,Aconitum ouvrardianum,Q.E.Yang and Q.Yuan,75,20030830,云南省,3900,scrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350376.jpg,,,,,,,,,, +长距垂果乌头,Aconitum pendulicarpum var. circinatum,郎楷永 李勃生 李良千,3751,19810825,云南省,3800,冷杉林内灌丛草甸时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934614.jpg,,,,,,,,,, +铁棒锤,Aconitum pendulum,"孟千万,谢鸿妍",,20050807,四川省,3600,山坡荒田中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993677.jpg,,,,,,,,,, +铁棒锤,Aconitum pendulum,康藏植物考察队,10-1812,20100814,西藏自治区,4012,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966822.jpg,,,,,,,,,, +铁棒锤,Aconitum pendulum,,398,19640716,青海省,3650,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957393.jpg,,,,,,,,,, +毛瓣乌头,Aconitum pilopetalum,罗艳,355,20010829,四川省,3300~3700,路旁杂草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865346.jpg,,,,,,,,,, +毛萼多花乌头,Aconitum polyanthum var. puberulum,萧培根 夏光成,1680,19610714,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025305.jpg,,,,,,,,,, +毛萼多花乌头,Aconitum polyanthum var. puberulum,杨竞生,91-830,1991-08-,西藏省,3950,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081296.jpg,,,,,,,,,, +毛萼多花乌头,Aconitum polyanthum var. puberulum,张永洪,李国栋,王晓雄,SunH-07ZX-1797,20080928,西藏,4448,高山管草丛,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1231294.jpg,,,,,,,,,, +多果乌头,Aconitum polycarpum,"罗艳,陈又生",495,20020824,云南省,3700,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865559.jpg,,,,,,,,,, +多果乌头,Aconitum polycarpum,武素功,8865,19640713,云南省 ,4150,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00055941.jpg,,,,,,,,,, +多裂乌头,Aconitum polyschistum,,23358,19570729,四川省,2650,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00308974.jpg,,,,,,,,,, +多裂乌头,Aconitum polyschistum,杨竞生,89-49,1989-10-,西藏省,4950,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081295.jpg,,,,,,,,,, +多裂乌头,Aconitum polyschistum,杨竞生,88-323,1998-08-,云南省,4400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081293.jpg,,,,,,,,,, +波密乌头,Aconitum pomeense,夏光成等,722A,19600811,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025307.jpg,,,,,,,,,, +密花乌头,Aconitum potaninii,Harry Smith,11737,19340903,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00308976.jpg,,,,,,,,,, +,Aconitum prominens,西藏中草药普查队,3895,19720726,西藏自治区,3800,冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957351.jpg,,,,,,,,,, +,Aconitum prominens,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",15408,12-Jul-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00438627.jpg,,,,,,,,,, +小花乌头,Aconitum pseudobrunneum,D.E.Boufford et al.,36115,20060809,四川省,4010,Open Abies forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01459357.jpg,,,,,,,,,, +小花乌头,Aconitum pseudobrunneum,杨竞生,84-730,19840727,云南省,4150,高山溪边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00308978.jpg,,,,,,,,,, +拟展枝乌头,Aconitum pseudodivaricatum,夏光成 米泰康,737,19600818,西藏自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025308.jpg,,,,,,,,,, +全裂乌头,Aconitum pseudodivaricatum,张廷,蔡杰,袁明等,09CS1535,20090923,西藏,4146,高山柏,高山栎开阔草地,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231296.jpg,,,,,,,,,, +黄毛埂乌头,Aconitum pseudogeniculatum,"曾本松,潘太国",14,19790717,四川省,3500,潮湿坡地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00934617.jpg,,,,,,,,,, +拟膝瓣乌头,Aconitum pseudogeniculatum,,604,19790818,四川,3700,,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM704600567.jpg,,,,,,,,,, +拟工布乌头,Aconitum pseudokongboense,傅国勋,670,19601011,西藏自治区,3500,林间 隙地,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00308983.jpg,,,,,,,,,, +拟玉龙乌头,Aconitum pseudostapfianum,吴征镒 刘德仪,21314,19440900,云南省,3000,,缠绕草本,无花无果,https://image.cvh.ac.cn/files/l/PE/00934619.jpg,,,,,,,,,, +玉龙乌头,Aconitum pseudostapfianum,,5,19850830,贵州省,1500,岩石山谷阴处,草本,有花无果,https://image.cvh.ac.cn/files/l/GZTM/0009193.jpg,,,,,,,,,, +长序美丽乌头,Aconitum pulchellum var. racemosum,杨竞生,s.n.,19760800,云南省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025316.jpg,,,,,,,,,, +长序美丽乌头,Aconitum pulchellum var. racemosum,青藏队,5079,1981-8 1,四川省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0021634.jpg,,,,,,,,,, +密序乌头,Aconitum pycnanthum,赵清盛 牟克华 杨亚滨,8504,19780909,四川省,3950,高山草坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934620.jpg,,,,,,,,,, +多枝乌头,Aconitum ramulosum,杨竞生,8200,19760728,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025323.jpg,,,,,,,,,, +弯果乌头,Aconitum refracticarpum,H.T.Tsai,58475,19340911,云南省,3200,in forest,climbing herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00025324.jpg,,,,,,,,,, +,Aconitum refracticarpum,H. T. Tsai,58475,1934/9/11,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038354.jpg,,,,,,,,,, +狭裂乌头,Aconitum refractum,,s.n.,19810819,四川省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957353.jpg,,,,,,,,,, +狭裂乌头,Aconitum refractum,青藏队植被组,9483,19760805,西藏自治区,4400,高山草甸 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957346.jpg,,,,,,,,,, +石膏山乌头,Aconitum rockii var. fengii,杨亲二,袁琼,YangQE2199,20080807,云南,4100,阴湿山谷,,花标本,https://image.cvh.ac.cn/files/l/KUN/1231307.jpg,,,,,,,,,, +,Aconitum rockii var. fengii,冯国楣,23267,19590826,云南省,3800,杜鹃林内,,,https://image.cvh.ac.cn/files/l/KUN/1289669.jpg,,,,,,,,,, +等叶花葶乌头,Aconitum scaposum var. hupehanum,冯正波,20070088,20070529,四川省,1200,林下草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993876.jpg,,,,,,,,,, +等叶花葶乌头,Aconitum scaposum var. hupehanum,高乞,246,20080826,湖南省,335,潮湿地、湖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993877.jpg,,,,,,,,,, +侧花乌头,Aconitum secundiflorum,成都生物研究所调查队,11031,19750816,四川省,2850,向阳 山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934623.jpg,,,,,,,,,, +缩梗乌头,Aconitum sessiliflorum,杜大华,1356,1934,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081362.jpg,,,,,,,,,, +缩梗乌头,Aconitum sessiliflorum,,9957,1970,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM704600737.jpg,,,,,,,,,, +腋花乌头,Aconitum sinoaxillare,青藏补点,751167,19750803,西藏自治区,2870,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/51782.jpg,,,,,,,,,, +毛果穿心莲乌头,Aconitum sinomontanum var. pilocarpum,罗艳,399b,20010913,四川省,3400,沟边潮湿处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01865384.jpg,,,,,,,,,, +毛果穿心莲乌头,Aconitum sinomontanum var. pilocarpum,马元俊,2200,19750810,湖北省,1500,林丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00309622.jpg,,,,,,,,,, +抧缺刻维西乌头,Aconitum sinonapelloides var. weisiense,王启无,64595,19350700,云南省,3500,Mountain ditch side,Herbs,有花无果,https://image.cvh.ac.cn/files/l/PE/00026883.jpg,,,,,,,,,, +展毛拟缺刻乌头,Aconitum sinonapelloides var. weisiense,王启无,64973,19350000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00051176.jpg,,,,,,,,,, +茨开乌头,Aconitum souliei,Q.E.Yang and Q.Yuan,63,20030821,云南省,3700~3900,grassland and scrub on stream side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01349899.jpg,,,,,,,,,, +茨开乌头,Aconitum souliei,,529,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/066632.jpg,,,,,,,,,, +茨开乌头,Aconitum souliei,Souliei,1115,,西藏; Tibet,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00066642.jpg,,,,,,,,,, +匙苞乌头,Aconitum spathulatum,秦仁昌,24252,19290902,云南省,3700,杂木林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00026846.jpg,,,,,,,,,, +亚东乌头,Aconitum spicatum,青藏队植被组,6616,19750806,西藏自治区,4200,高山草甸 谷地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957339.jpg,,,,,,,,,, +螺瓣乌头,Aconitum spiripetalum,"川西队,关克俭,王文采等",1081,19630730,四川省,4300,山坡矮灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087923.jpg,,,,,,,,,, +螺瓣乌头,Aconitum spiripetalum,青藏队,12704,19760809,西藏自治区,4100~4000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/167184.jpg,,,,,,,,,, +玉龙乌头,Aconitum stapfianum,"杨亲二,孔宏智",99036,19990825,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01956854.jpg,,,,,,,,,, +草黄花乌头,Aconitum stramineiflorum,王启无,68601,19350800,云南省,3600,Mountain slope,Herbs,有花无果,https://image.cvh.ac.cn/files/l/PE/00026839.jpg,,,,,,,,,, +,Aconitum stramineiflorum,C. W. Wang,68601,Aug-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038355.jpg,,,,,,,,,, +草黄乌头,Aconitum stramineiflorum,向春雷,刘恩德,赵飞,1808,20190905,云南,2964,Precipice,Herb,有花无果,https://image.cvh.ac.cn/files/l/KUN/1511808.jpg,,,,,,,,,, +拟显柱乌头,Aconitum stylosoides,青藏队,4332,19810826,四川省,,山沟云杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00309730.jpg,,,,,,,,,, +膝爪显柱乌头,Aconitum stylosum var. geniculatum,张廷,蔡杰,袁明等,09CS1577,20090924,西藏,3829,山坡林缘,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1231325.jpg,,,,,,,,,, +膝爪显柱乌头,Aconitum stylosum var. geniculatum,陆露,Peter W Fritsch,张永彪,张明英,陈小涛,WH-2013-212,20130916,云南,2500,常绿阔叶林季风性沟谷雨林下,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1320795.jpg,,,,,,,,,, +松潘乌头,Aconitum sungpanense,236四川任务组,,19710913,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086717.jpg,,,,,,,,,, +松潘乌头,Aconitum sungpanense,,,,,,山谷溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957142.jpg,,,,,,,,,, +堆拉乌头,Aconitum tangense,何廷农,3074,19910806,甘肃省,4100,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/166574.jpg,,,,,,,,,, +堆拉乌头,Aconitum tangense,郭本兆,7343,19700803,青海省,3800,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/21625.jpg,,,,,,,,,, +毛果甘青乌头,Aconitum tanguticum var. trichocarpum,孙学刚等,20010349,20010815,甘肃省,2900,山坡糙皮桦林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01801115.jpg,,,,,,,,,, +毛果甘青乌头,Aconitum tanguticum var. trichocarpum,汤宗孝,814,19820825,四川省,4700,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01605594.jpg,,,,,,,,,, +毛果甘青乌头,Aconitum tanguticum var. trichocarpum,PE西藏队,PE5255a,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309264.jpg,,,,,,,,,, +独龙乌头,Aconitum taronense,"罗艳,陈又生",484,20020821,云南省,3200~3400,高山草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865293.jpg,,,,,,,,,, +展枝康定乌头,Aconitum tatsienense var. divaricatum,张敦厚,1780,19391006,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00175473.jpg,,,,,,,,,, +细茎乌头,Aconitum tenuicaule,杨竞生,8646,19760816,云南省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00026860.jpg,,,,,,,,,, +细茎乌头,Aconitum tenuicaule,梅里队,323,20040922,云南,,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008851.jpg,,,,,,,,,, +新都桥乌头,Aconitum tongolense,杨竞生,91-830,19910804,西藏自治区,3950,曲干达草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957340.jpg,,,,,,,,,, +新都桥乌头,Aconitum tongolense,罗艳,374,20010901,四川省,3800,betula矮灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865286.jpg,,,,,,,,,, +直缘乌头,Aconitum transsectum,"张宪春,Harald Schneider,蒋日红等",6438,20100925,云南省,2632,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039878.jpg,,,,,,,,,, +直缘乌头,Aconitum transsectum,,5,0,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/167407.jpg,,,,,,,,,, +,Aconitum tsaii var. puberulum,武素功,8842,19640913,云南省,4100,山坡湿处,湿润灌丛草地,,,https://image.cvh.ac.cn/files/l/KUN/1289665.jpg,,,,,,,,,, +显脉乌头,Aconitum validinerve,木里调查队,705,19780914,四川省,,,藤本,有花有果,https://image.cvh.ac.cn/files/l/PE/00934626.jpg,,,,,,,,,, +展毛黄草乌,Aconitum vilmorinianum var. patentipilum,孙航等,3159,20101005,云南省,2546,On the slope near a river,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922269.jpg,,,,,,,,,, +展毛黄草乌,Aconitum vilmorinianum var. patentipilum,郭平,88-013,19880916,四川省,2550,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00382048.jpg,,,,,,,,,, +全裂滇川乌头,Aconitum wardii var. trisectum,"郎楷永,李良千 费勇",2866,19830806,四川省,3950,冷杉林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00026881.jpg,,,,,,,,,, +,Aconitum weixiense,"Forrest, George",28566,,,,,,,https://image.cvh.ac.cn/files/l/E/E00438722.jpg,,,,,,,,,, +乡城乌头,Aconitum xiangchengense,D.E.Boufford et al.,28465,19980709,四川省,4000~4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01816779.jpg,,,,,,,,,, +乡城乌头,Aconitum xiangchengense,D.E.Boufford et al.,28465,19980709,四川,4000~4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01816779.jpg,,,,,,,,,, +雅江乌头,Aconitum yachiangense,应俊生,3298,19600505,四川省,3450,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00026885.jpg,,,,,,,,,, +展毛竞生乌头,Aconitum yangii var. villosulum,杨竞生,84-892,19840700,云南省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00026887.jpg,,,,,,,,,, +盐源乌头,Aconitum yanyuanense,青藏队,12789,19830809,四川省,3900,山坡冷杉林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00026889.jpg,,,,,,,,,, +金钱蒲,Acorus gramineus,谭策铭,7592,20070525,江西省,350,山谷溪流边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241272.jpg,,,,,,,,,, +金钱蒲,Acorus gramineus,刘正宇,182590,20080428,重庆市,350,江边阴湿岩壁上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241273.jpg,,,,,,,,,, +金钱蒲,Acorus gramineus,覃海宁等,3112,20000418,广西壮族自治区,1000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241271.jpg,,,,,,,,,, +尖稃草,Acrachne racemosa,毛品一,1988,19521210,云南省,960,斜坡 干燥,,有花有果,https://image.cvh.ac.cn/files/l/PE/00262429.jpg,,,,,,,,,, +尖稃草,Acrachne racemosa,管中天,9381,19590716,四川省,410~750,山坡下部3/3-1/3,,有花有果,https://image.cvh.ac.cn/files/l/PE/00262427.jpg,,,,,,,,,, +千针苋,Acroglochin persicarioides,FLPH Tibet Expedition,12-1194,20120900,西藏自治区,,路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967956.jpg,,,,,,,,,, +千针苋,Acroglochin persicarioides,李良千等,281,20110914,甘肃省,1841,山谷山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01901133.jpg,,,,,,,,,, +千针苋,Acroglochin persicarioides,巴山采集队,563,20080709,重庆市,1220,山坡湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860648.jpg,,,,,,,,,, +高山丝瓣芹,Acronema alpinum,青藏补点组,751449,19750821,西藏自治区,4800,路边石缝,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0460240.jpg,,,,,,,,,, +高山丝瓣芹,Acronema alpinum,王为义,45,19820626,青海省,4400,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/108054.jpg,,,,,,,,,, +高山丝瓣芹,Acronema alpinum,谢登峰、卫静丽,2029353,20190922,四川,4661,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/02029353.jpg,,,,,,,,,, +星叶丝瓣芹,Acronema astrantiifolium,PE西藏队,PE6509,20170912,西藏自治区,3588,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330299.jpg,,,,,,,,,, +星叶丝瓣芹,Acronema astrantiifolium,青藏队横断山队,3970,19810809,四川省,3850,山沟内Abies sp 林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129659.jpg,,,,,,,,,, +星叶丝瓣芹,Acronema astrantiifolium,George Forrest,13114,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00616012.jpg,,,,,,,,,, +短梗丝瓣芹,Acronema brevipedicellatum,青藏队,3970,1981-8 9,四川省,3850,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0101254.jpg,,,,,,,,,, +多变丝瓣芹,Acronema commutatum,青藏队,2525,19810709,云南省,3700,山坡 云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129665.jpg,,,,,,,,,, +多变丝瓣芹,Acronema commutatum,C.W.Wang,66293,19350900,西藏自治区,3500,Mountain slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616042.jpg,,,,,,,,,, +,Acronema forrestii,中甸队,1675,19620831,云南省,3900,冷杉林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616045.jpg,,,,,,,,,, +,Acronema forrestii,Harry Smith,2555,19340930,四川省,3100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616044.jpg,,,,,,,,,, +细梗丝瓣芹,Acronema gracile,PE西藏队,PE5290,20170826,西藏自治区,4270,林下灌层,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330203.jpg,,,,,,,,,, +禾叶丝瓣芹,Acronema graminifolium,PE西藏考察队,7879,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332463.jpg,,,,,,,,,, +禾叶丝瓣芹,Acronema graminifolium,潘泽惠,等,947,19861010,云南省,3200,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00005165.jpg,,,,,,,,,, +禾叶丝瓣芹,Acronema graminifolium,潘泽惠,947,19861010,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00005179.jpg,,,,,,,,,, +中甸丝瓣芹,Acronema handelii,D.E.Boufford et al.,35100,20060722,云南省,3780~3930,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925371.jpg,,,,,,,,,, +中甸丝瓣芹,Acronema handelii,张经炜,1151,19600820,西藏自治区,4700,河谷山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00782493.jpg,,,,,,,,,, +锡金丝瓣芹,Acronema hookeri,,H-17,19810803,云南省,3228,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01468035.jpg,,,,,,,,,, +锡金丝瓣芹,Acronema hookeri,青藏队,74-1871,19740825,西藏自治区,3100,山谷picea林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616068.jpg,,,,,,,,,, +,Acronema johrianum,青藏队植被组,9882,19760827,西藏自治区,3100,阳坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616071.jpg,,,,,,,,,, +,Acronema muscicola,"郭永杰,张桥蓉,李春晓,张继",11CS3429,20110916,云南省,3945,冷杉林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1335626.jpg,,,,,,,,,, +苔生丝瓣芹,Acronema muscicola,,183,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/069303.jpg,,,,,,,,,, +苔间丝瓣芹,Acronema muscicola,王鹏,QNSY10021089,20040706,贵州省,1200,路边,,有花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0007477.jpg,,,,,,,,,, +羽轴丝瓣芹,Acronema nervosum,PE西藏队,PE5550,20170831,西藏自治区,4352,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330155.jpg,,,,,,,,,, +圆锥丝瓣芹,Acronema paniculatum,青藏队,3418,19810807,四川省,3600~3800,山坡 黄栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129672.jpg,,,,,,,,,, +圆锥丝瓣芹,Acronema paniculatum,秦仁昌,24075,19290824,云南省,2800,杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616109.jpg,,,,,,,,,, +丽江丝瓣芹,Acronema schneideri,PE西藏队,PE5912,20170905,西藏自治区,3020~3460,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330165.jpg,,,,,,,,,, +丽江丝瓣芹,Acronema schneideri,,5750,19740812,四川省,3200,灌木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575614.jpg,,,,,,,,,, +丽江丝瓣芹,Acronema schneideri,58年秦岭队,10706,19580914,陕西省,2700,阴处 疏密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01478030.jpg,,,,,,,,,, +四川丝瓣芹,Acronema sichuanense,T.N.Ho(HNWP) et al.,2829,19960903,青海省,4000~4100,"Narrow limestone gorge with river at bottom.Shrub covered rocky slopes,limestone cliffs,and damp spring-or stream-fed areas.",,无花无果,https://image.cvh.ac.cn/files/l/PE/00616118.jpg,,,,,,,,,, +四川丝瓣芹,Acronema sichuanense,刘志安,23005,19800826,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0437036.jpg,,,,,,,,,, +丝瓣芹,Acronema tenerum,张经炜,1467,19730903,西藏自治区,3300,东北坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491085.jpg,,,,,,,,,, +丝瓣芹,Acronema tenerum,青藏队,4763,19810812,四川省,3800,山坡 云杉 林下 岩石上苔藓层中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132006.jpg,,,,,,,,,, +丝瓣芹,Acronema tenerum,滇西北金沙江队,6071,19630724,云南省,3500~3600,石灰岩山峰、阴湿岩,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616127.jpg,,,,,,,,,, +,Acronema xizangense,PE西藏队,PE6864,20170917,西藏自治区,3971,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330311.jpg,,,,,,,,,, +,Acronema xizangense,"张挺,李爱花,刘成,郭永杰",08CS843,20080922,四川省,2978,河谷针阔混交林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1335637.jpg,,,,,,,,,, +类叶升麻,Actaea asiatica,青藏队,6611,19820530,云南省,2700,山坡针阔混交林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073180.jpg,,,,,,,,,, +类叶升麻,Actaea asiatica,青藏队,10345,19820911,西藏自治区,3000~3200,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073179.jpg,,,,,,,,,, +类叶升麻,Actaea asiatica,巴山采集队,5857,20120701,四川省,1354~1500,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059761.jpg,,,,,,,,,, +紫果猕猴桃,Actinidia arguta var. purpurea,王映明,5341,19880717,湖北省,1880,沟谷 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345751.jpg,,,,,,,,,, +紫果猕猴桃,Actinidia arguta var. purpurea,壶瓶山考察队,87377,19870607,湖南省,1520,东坡中上部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345750.jpg,,,,,,,,,, +紫果猕猴桃,Actinidia arguta var. purpurea,北京所横断山队,1294,19810710,云南省,1880,残遗常绿阔叶 林下常见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01128902.jpg,,,,,,,,,, +尖叶猕猴桃,Actinidia callosa var. acuminata,"朱大海,曹子余,苏小镔",1169,20020925,四川省,1500,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01596732.jpg,,,,,,,,,, +尖叶猕猴桃,Actinidia callosa var. acuminata,李义,522230191123019LY,20191123,贵州,368,灌丛、中生、耐阴、中温、酸性土、野生植物,藤本植物,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0102542.jpg,,,,,,,,,, +京梨猕猴桃,Actinidia callosa var. acuminata,罗金龙、温兆捷,350,20170611,湖南,1380,沟谷,,有花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI064029.jpg,,,,,,,,,, +美味猕猴桃,Actinidia chinensis var. deliciosa,PE-古蔺考察队,711,20100905,四川省,1151~1610,"山谷,林中",,无花有果,https://image.cvh.ac.cn/files/l/PE/01864421.jpg,,,,,,,,,, +美味猕猴桃,Actinidia chinensis var. deliciosa,巴山采集队,2341,20080726,重庆市,2177,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01853961.jpg,,,,,,,,,, +美味猕猴桃,Actinidia chinensis var. deliciosa,"赵常明,葛结林,刘向",EX3144,20090814,湖北省,1750,阔叶林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01853957.jpg,,,,,,,,,, +狗枣猕猴桃,Actinidia kolomikta,"董洪进,赵飞",WM-0463,20160518,云南省,1700~1900,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090317.jpg,,,,,,,,,, +狗枣猕猴桃,Actinidia kolomikta,H.-S.Jung,201128-0081,20110821,,859,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040711.jpg,,,,,,,,,, +狗枣猕猴桃,Actinidia kolomikta,徐连升,X140064,20140814,吉林省,843,林下湿地,,无花无果,https://image.cvh.ac.cn/files/l/PE/02031866.jpg,,,,,,,,,, +黑蕊猕猴桃,Actinidia melanandra,"张树仁,陈淑荣,朗校安等",2122,20140620,四川省,1650~1800,山坡 阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021357.jpg,,,,,,,,,, +黑蕊猕猴桃,Actinidia melanandra,陈又生,4202,20040617,重庆市,2180,山顶石林树林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850307.jpg,,,,,,,,,, +黑蕊猕猴桃,Actinidia melanandra,D.E.Boufford et al.,37437,20070506,甘肃省,1150~900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814681.jpg,,,,,,,,,, +贡山猕猴桃,Actinidia pilosula,青藏队,11771,19830705,四川省,2300,山坡 常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01128920.jpg,,,,,,,,,, +贡山猕猴桃,Actinidia pilosula,青藏队,9673,19820827,云南省,1800,山坡 常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01128917.jpg,,,,,,,,,, +贡山猕猴桃,Actinidia pilosula,,9042,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0240074.jpg,,,,,,,,,, +葛枣猕猴桃,Actinidia polygama,刘冰,701,20070826,山东省,223,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043520.jpg,,,,,,,,,, +葛枣猕猴桃,Actinidia polygama,张寿洲等,1049,20130926,四川省,,土生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01990477.jpg,,,,,,,,,, +葛枣猕猴桃,Actinidia polygama,,WR-060624-037,20060624,,320,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01983383.jpg,,,,,,,,,, +红茎猕猴桃,Actinidia rubricaulis,北京队,890385,19890426,广西壮族自治区,950,山沟林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000312.jpg,,,,,,,,,, +红茎猕猴桃,Actinidia rubricaulis,Pi-Fong Lu,18950,20091003,台湾省,180~280,开阔林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880014.jpg,,,,,,,,,, +红茎猕猴桃,Actinidia rubricaulis,刘淼等,A140131,20060815,安徽省,500,生于沟边灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01808864.jpg,,,,,,,,,, +四萼猕猴桃,Actinidia tetramera,"李良千,王忠涛,杜玉芬,卫然",236,20110913,甘肃省,1845~2023,林缘沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914301.jpg,,,,,,,,,, +四萼猕猴桃,Actinidia tetramera,"Q.Wang ,K.Yao",146,19991000,四川省,2600,山坡林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01893916.jpg,,,,,,,,,, +四萼猕猴桃,Actinidia tetramera,,57,19840718,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863148.jpg,,,,,,,,,, +显脉猕猴桃,Actinidia venosa,PE西藏队,PE6177,20170910,西藏自治区,2488~2994,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330188.jpg,,,,,,,,,, +显脉猕猴桃,Actinidia venosa,J.I.Jeon et al.,SI1378,20100811,四川省,2788,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01924422.jpg,,,,,,,,,, +锚刺果,Actinocarya tibetica,陶德定,10619,19760716,西藏自治区,4600,河滩 沙砾草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519033.jpg,,,,,,,,,, +锚刺果,Actinocarya tibetica,杨永昌,1267,19650724,青海省,4500,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519032.jpg,,,,,,,,,, +锚刺果,Actinocarya tibetica,Harry Smith,s.n.,19220820,四川省,3100,in arenosis fluminis,,有花无果,https://image.cvh.ac.cn/files/l/PE/01360448.jpg,,,,,,,,,, +倒卵叶黄肉楠,Actinodaphne obovata,北京青年队,1340,19860909,广西壮族自治区,150~250,山坡沟谷灌从,,有花无果,https://image.cvh.ac.cn/files/l/PE/01520071.jpg,,,,,,,,,, +倒卵叶黄肉楠,Actinodaphne obovata,"李渤生,程树志",2554,19830115,西藏自治区,1200,江边 Ficus林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494706.jpg,,,,,,,,,, +倒卵叶黄肉楠,Actinodaphne obovata,毛品一,338,19510813,云南省,1500,潮湿灌林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00699518.jpg,,,,,,,,,, +马关黄肉楠,Actinodaphne tsaii,H.T.Tsai,51907,19330302,云南省,1700,,tree,有花无果,https://image.cvh.ac.cn/files/l/PE/00028402.jpg,,,,,,,,,, +马关黄肉楠,Actinodaphne tsaii,钟业聪,8379,19830120,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00003532.jpg,,,,,,,,,, +盒子草,Actinostemma tenerum,"朱大海,王永,尚涛",2436,20031015,四川省,750,山坡下部林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115015.jpg,,,,,,,,,, +盒子草,Actinostemma tenerum,覃海宁等,19806,20080817,江苏省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01952836.jpg,,,,,,,,,, +盒子草,Actinostemma tenerum,PE西藏队,PE6203,20170910,西藏自治区,2488~2994,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890291.jpg,,,,,,,,,, +和尚菜,Adenocaulon himalaicum,"朱大海,王永,尚涛",1744,20030921,四川省,1000,山坡下部林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115860.jpg,,,,,,,,,, +和尚菜,Adenocaulon himalaicum,陈又生,8125,20080825,陕西省,2400,in forest along roads,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113591.jpg,,,,,,,,,, +和尚菜,Adenocaulon himalaicum,Im H.T.and Park S.Y.,15082701,20150827,,200,wet half shaded mountain road,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110507.jpg,,,,,,,,,, +,Adenocaulon lavenia,Y.M.Shui et al.,40389,20031119,云南省,1700,田边、路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882305.jpg,,,,,,,,,, +,Adenocaulon lavenia,席先银,84218,19841100,湖南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882303.jpg,,,,,,,,,, +,Adenocaulon lavenia,赵常明,EX 0934,20070915,湖北省,650,阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01775884.jpg,,,,,,,,,, +,Adenophora capillaris subsp. capillaris,"李良千,王忠涛,杜玉芬",264,20110914,甘肃省,1841,山谷沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056908.jpg,,,,,,,,,, +,Adenophora capillaris subsp. capillaris,戴天伦,102152,19580829,重庆市,1800,生于草坪中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056708.jpg,,,,,,,,,, +,Adenophora capillaris subsp. capillaris,"喻勋林,徐永福,黄娟",80014,20080807,湖北省,2827,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056707.jpg,,,,,,,,,, +天蓝沙参,Adenophora coelestis,青藏队,13191,19830821,四川省,3500,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056940.jpg,,,,,,,,,, +天蓝沙参,Adenophora coelestis,"洪德元,杨杨,王焕冲",H10026,20100918,云南省,2900,云南松-高山栎林,石灰岩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056913.jpg,,,,,,,,,, +喜马拉雅沙参(原亚种),Adenophora himalayana subsp. himalayana,谢登峰、成瑞渝,2027161,20190920,四川,4580,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02027161.jpg,,,,,,,,,, +甘孜沙参,Adenophora jasionifolia,"郎楷永,李良千,费勇",2821,19830806,四川省,40~4200,高山草甸与灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057092.jpg,,,,,,,,,, +甘孜沙参,Adenophora jasionifolia,,1121,20010715,云南省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057089.jpg,,,,,,,,,, +云南沙参,Adenophora khasiana,"Jin Xh,Wang LS,Wang Q et al.",ST0048,20130714,云南省,,apline shrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/02002461.jpg,,,,,,,,,, +云南沙参,Adenophora khasiana,,75-1842,19750913,西藏自治区,,路旁杂草,,有花无果,https://image.cvh.ac.cn/files/l/PE/01442685.jpg,,,,,,,,,, +云南沙参,Adenophora khasiana,,2596,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01230924.jpg,,,,,,,,,, +川藏沙参,Adenophora liliifolioides,"洪德元,马欣堂,王强",H12025,20120805,西藏自治区,3500,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056934.jpg,,,,,,,,,, +川藏沙参,Adenophora liliifolioides,"洪德元,潘开玉,王强",H12065,20120903,四川省,3400,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056933.jpg,,,,,,,,,, +裂叶沙参,Adenophora lobophylla,葛颂,L-004,19930925,四川省,2780,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056657.jpg,,,,,,,,,, +裂叶沙参,Adenophora lobophylla,李馨,78384,1958/8/17,四川,2400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0234616.jpg,,,,,,,,,, +,Adenophora potaninii subsp. potaninii,张寿洲等,831,20130925,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990508.jpg,,,,,,,,,, +林沙参,Adenophora stenanthina subsp. sylvatica,白水江采集队,5798,20070906,甘肃省,1960~2340,阴湿山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/01856981.jpg,,,,,,,,,, +林沙参,Adenophora stenanthina subsp. sylvatica,"崔鸿宾,林有润,夏振岱",80-139,19800907,青海省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621785.jpg,,,,,,,,,, +乌日其格日-哄呼-其其格,Adenophora stenanthina var. crispata,吴玉虎,36639-B,20060707,青海省,3760,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0233305.jpg,,,,,,,,,, +皱叶沙参,Adenophora stenanthina var. crispata,王正文、宋传涛、邸泽雷,王正文0848,20170730,内蒙古自治区呼伦贝尔市,526,典型草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0234806.jpg,,,,,,,,,, +乌日其格日-哄呼-其其格,Adenophora stenanthina var. crispata,赵一之,3278,19900819,内蒙古自治区,1960,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0036555.jpg,,,,,,,,,, +,Adenophora stricta subsp. aurita,Harry Smith,12587,19340930,四川省,3300~3500,"in prato aprico,herboso-fruticoso",,有花无果,https://image.cvh.ac.cn/files/l/PE/01442674.jpg,,,,,,,,,, +,Adenophora stricta subsp. aurita,曲桂齡,6316,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01230016.jpg,,,,,,,,,, +昆明沙参,Adenophora stricta subsp. confusa,"H.Li,S.X.Yang,R.Li etc.",735,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110823.jpg,,,,,,,,,, +昆明沙参,Adenophora stricta subsp. confusa,George Forrest,29956,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01442672.jpg,,,,,,,,,, +毛麝香,Adenosma glutinosum,李振宇等,1581,19981026,广西壮族自治区,850,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010024.jpg,,,,,,,,,, +毛麝香,Adenosma glutinosum,"张寿洲,李良千等",2611,20050709,广东省,,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809096.jpg,,,,,,,,,, +粗毛杨桐,Adinandra hirta,"周浙昆,费勇,税玉民等",429,19991024,云南省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02222136.jpg,,,,,,,,,, +粗毛杨桐,Adinandra hirta,北京队,890360,19890426,广西壮族自治区,950,山沟下层林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000227.jpg,,,,,,,,,, +阔叶杨桐,Adinandra latifolia,毛品一/P.I.Mao,447,19560914,云南省,1400,大沟边疏林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/01432813.jpg,,,,,,,,,, +,Adinandra latifolia,刘成、何华杰、黄莉、杨忠兰,14CS8556,20141109,云南,1215,常绿阔叶林林缘河谷边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1321834.jpg,,,,,,,,,, +甘青侧金盏花,Adonis bobroviana,张志和等,2037,19890517,青海省,2340,半阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957032.jpg,,,,,,,,,, +甘青侧金盏花,Adonis bobroviana,何叶祺,4418,19590707,甘肃省,2700,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00382362.jpg,,,,,,,,,, +蓝侧金盏花,Adonis coerulea,杨金祥,2235,19630814,西藏自治区,5000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957037.jpg,,,,,,,,,, +蓝侧金盏花,Adonis coerulea,杨竞生,91-220,19910531,四川省,4150,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957036.jpg,,,,,,,,,, +蓝侧金盏花,Adonis coerulea,张耀甲,93030,19930615,甘肃省,2800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604821.jpg,,,,,,,,,, +宝兴侧金盏花,Adonis davidii,D.E.Boufford et al.,37725,20070518,甘肃省,2320~2725,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814859.jpg,,,,,,,,,, +宝兴侧金盏花,Adonis davidii,陈伟烈等,5731,19840601,四川省,2820,开旷杂木林下草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377124.jpg,,,,,,,,,, +宝兴侧金盏花,Adonis davidii,,s.n.,18690300,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00026893.jpg,,,,,,,,,, +蜀侧金盏花,Adonis sutchuenensis,白水江考察队,752,20060629,甘肃省,2000,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859834.jpg,,,,,,,,,, +蜀侧金盏花,Adonis sutchuenensis,李馨,70817,19570524,四川省,3300,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00382445.jpg,,,,,,,,,, +蜀侧金盏花,Adonis sutchuenensis,鄂神农架,22832,19760902,湖北省,2000,山坡草丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/00382441.jpg,,,,,,,,,, +五福花,Adoxa moschatellina,"傅德志,刘夙等",149,20070720,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02013113.jpg,,,,,,,,,, +五福花,Adoxa moschatellina,K.Piatek,,20060417,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01884776.jpg,,,,,,,,,, +五福花,Adoxa moschatellina,白水江考察队,5181,20070519,甘肃省,2700,林下沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880033.jpg,,,,,,,,,, +西藏五福花,Adoxa xizangensis,高信芬、黎怀诚,THP-KD-0373,20170602,四川,3932,,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0249514.jpg,,,,,,,,,, +野菰,Aeginetia indica,赵鑫磊,,20110928,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110637.jpg,,,,,,,,,, +野菰,Aeginetia indica,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100357.jpg,,,,,,,,,, +野菰,Aeginetia indica,,223,19620830,广西壮族自治区,1280,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011218.jpg,,,,,,,,,, +巴东羊角芹,Aegopodium henryi,刘正宇等,7562,19850715,重庆市,1950,路旁草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01636048.jpg,,,,,,,,,, +巴东羊角芹,Aegopodium henryi,北京队,1969,19880702,湖南省,1400,林缘 沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01344508.jpg,,,,,,,,,, +微药獐毛,Aeluropus micrantherus,,2017,19641006,甘肃省,1700,丘陵,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437478.jpg,,,,,,,,,, +微药獐毛,Aeluropus micrantherus,刘成、亚吉东,15CS10324,20150617,新疆,330,戈壁滩,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1399696.jpg,,,,,,,,,, +微药獐毛,Aeluropus micrantherus,李安仁等,7514,19580913,新疆维吾尔自治区,90~0,河漫地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/234339.jpg,,,,,,,,,, +小獐毛,Aeluropus pungens,"李渤生,郑度,张百明",10002,19870616,新疆维吾尔自治区,2100,泉边村庄 潮湿地时见 小边优势,,有花有果,https://image.cvh.ac.cn/files/l/PE/01295352.jpg,,,,,,,,,, +小獐毛,Aeluropus pungens,马健,GXA20160815003,20160815,新疆自治区,467,温带荒漠草原,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1399698.jpg,,,,,,,,,, +小獐毛,Aeluropus pungens,徐文斌,杨清理,SHI-2009015,,新疆,289,盐碱地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1399706.jpg,,,,,,,,,, +少毛白花苋,Aerva glabrata,"刘冰,覃海宁,张宪春等",878,20070615,广西壮族自治区,200,石山林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039618.jpg,,,,,,,,,, +少毛白花苋,Aerva glabrata,Shui Yu-min et al.,40525,20031121,云南省,1370,石灰岩山林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869486.jpg,,,,,,,,,, +少毛白花苋,Aerva glabrata,谭仕兴,472,20050605,贵州省,950,林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522637.jpg,,,,,,,,,, +芒毛苣苔,Aeschynanthus acuminatus,覃海宁 于胜祥 刘博 叶建飞 黄云峰,19497,20080423,广西壮族自治区,167,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112352.jpg,,,,,,,,,, +芒毛苣苔,Aeschynanthus acuminatus,陈添财,12905,20040312,台湾省,1000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917457.jpg,,,,,,,,,, +芒毛苣苔,Aeschynanthus acuminatus,崔景云,22693,19790618,云南省,1200,沟谷林中潮湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01649957.jpg,,,,,,,,,, +狭矩芒毛苣苔,Aeschynanthus angustioblongus,周仕顺,2086,20040910,云南省,,附生岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01649960.jpg,,,,,,,,,, +狭矩芒毛苣苔,Aeschynanthus angustioblongus,"李渤生,程树志",1097,19820926,西藏自治区,2600,常绿阔叶林下常见藤本,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506215.jpg,,,,,,,,,, +狭叶芒毛苣苔,Aeschynanthus angustissimus,陈伟烈,10713,19800628,西藏自治区,,附生树上和石上,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00123639.jpg,,,,,,,,,, +狭叶芒毛苣苔,Aeschynanthus angustissimus,俞德俊,20424,19380925,云南省,1500,Upon back of tree,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032299.jpg,,,,,,,,,, +束花芒毛苣苔,Aeschynanthus hookeri,青藏队,8957,19820806,云南省,2200,山坡 常绿阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173153.jpg,,,,,,,,,, +束花芒毛苣苔,Aeschynanthus hookeri,"H.Hara,S.Kurosawa",69290,19690623,,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0205993.jpg,,,,,,,,,, +束花芒毛苣苔,Aeschynanthus hookeri,H.Hanai H.Ohashi,721155,19720707,Shemma,0,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0205994.jpg,,,,,,,,,, +毛花芒毛苣苔,Aeschynanthus lasianthus,青藏队,9679,19820827,云南省,1800,山坡 次生林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173155.jpg,,,,,,,,,, +毛花芒毛苣苔,Aeschynanthus lasianthus,俞德浚,19973,19380827,云南省 ,1800,"upon back of tree, margin of woods",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1240187.jpg,,,,,,,,,, +毛萼芒毛苣苔,Aeschynanthus lasiocalyx,陈伟烈,10951,19800707,西藏自治区,750,附生石上,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00032283.jpg,,,,,,,,,, +条叶芒毛苣苔,Aeschynanthus linearifolius,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET 0376,20080626,云南省,1968,evergreen broad,,无花无果,https://image.cvh.ac.cn/files/l/PE/02108279.jpg,,,,,,,,,, +条叶芒毛苣苔,Aeschynanthus linearifolius,张经炜,786,19730718,西藏自治区,2400,东坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077187.jpg,,,,,,,,,, +,Aeschynanthus maculatus,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET 3381,20080720,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108274.jpg,,,,,,,,,, +具斑芒毛苣苔,Aeschynanthus maculatus,独龙江考察队,5247,19910327,云南省,2000,常绿林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/73767.jpg,,,,,,,,,, +墨脱芒毛苣苔,Aeschynanthus medogensis,生态室高原组,11339,19800727,西藏自治区,1900,附生树干上,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00032282.jpg,,,,,,,,,, +大花芒毛苣苔,Aeschynanthus mimetes,俸宇星,94013,19940725,云南省,1000,阴湿沟谷,阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916820.jpg,,,,,,,,,, +大花芒毛苣苔,Aeschynanthus mimetes,青藏队,74-5050,19740904,西藏自治区,800,山坡阔叶林中附生树上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00140005.jpg,,,,,,,,,, +,Aeschynanthus stenosepalus,"程树志,倪志诚,李渤生",4805,19830510,西藏自治区,1650,常绿阔叶林树上时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01506220.jpg,,,,,,,,,, +,Aeschynanthus stenosepalus,青藏队,8901,19820805,云南省,1600,山坡 常绿阔叶林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01173163.jpg,,,,,,,,,, +华丽芒毛苣苔,Aeschynanthus superbus,South Tibet Expedition Team(STET),STET2338,20100807,西藏自治区,840,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108271.jpg,,,,,,,,,, +华丽芒毛苣苔,Aeschynanthus superbus,Jin Xiaohua et Zhang Liang,11437,20110816,云南省,2000,subtropical,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108270.jpg,,,,,,,,,, +腾冲芒毛苣苔,Aeschynanthus tengchungensis,蒋宏,3886,20051204,云南省,2000,山谷河边树上附生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01649980.jpg,,,,,,,,,, +腾冲芒毛苣苔,Aeschynanthus tengchungensis,George Forrest,29846,,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00140062.jpg,,,,,,,,,, +合荫,Aeschynomene indica,Ming-Jer Jung,3328,20080827,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932302.jpg,,,,,,,,,, +合荫,Aeschynomene indica,字石生,425,20031012,云南省,2500,石岩,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920479.jpg,,,,,,,,,, +合荫,Aeschynomene indica,E.J.Thompson,MORN081,20080509,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880371.jpg,,,,,,,,,, +,Aesculus chinensis var. wilsonii,"王文广,黄义钧等",2393,20141026,四川省,1300,泥土,,无花无果,https://image.cvh.ac.cn/files/l/PE/01905955.jpg,,,,,,,,,, +天师栗,Aesculus chinensis var. wilsonii,"刘恩德,匡健,张冲平,郑天水,高德祥",4759,20160523,云南省,2090,margin of forest,,,https://image.cvh.ac.cn/files/l/KUN/1288418.jpg,,,,,,,,,, +,Aesculus chinensis var. wilsonii,"郭永杰,苏勇",14CS8281,20140704,江西省,38,树木园,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1371758.jpg,,,,,,,,,, +海南香花藤,Aganosma schlechteriana,尹志坚等,3012,20100623,云南省,1400,"Riversides,in disturbed forests",,有花无果,https://image.cvh.ac.cn/files/l/PE/01959135.jpg,,,,,,,,,, +海南香花藤,Aganosma schlechteriana,王功范,1-0194,20030521,贵州省,600,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591908.jpg,,,,,,,,,, +阿波树萝卜,Agapetes aborensis,Schultze-Motel,436,19600808,Virginia,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0000002.jpg,,,,,,,,,, +阿波树萝卜,Agapetes aborensis,B.Bartholomew,3676,19851106,California,460,Mixed evergreen forest.,木本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0000006.jpg,,,,,,,,,, +阿波树萝卜,Agapetes aborensis,Frank Fusiak,82-40,19820623,Tennessee,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/547869.jpg,,,,,,,,,, +缅甸树萝卜,Agapetes burmanica,G.Forrest,24981,19240000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01856112.jpg,,,,,,,,,, +缅甸树萝卜,Agapetes burmanica,"刘成, 亚吉东",18CS17256,20181123,西藏,1591,附生于树上,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487464.jpg,,,,,,,,,, +茶叶树萝卜,Agapetes camelliifolia,"李渤生,程树志",4242,19830422,西藏自治区,2200,Cymo 林树上时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00194001.jpg,,,,,,,,,, +茶叶树萝卜,Agapetes camelliifolia,"李渤生, 程树志",4242,19830422,西藏,2200,Cy mo林树上时见,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1209441.jpg,,,,,,,,,, +纤毛叶树萝卜,Agapetes ciliata,"李渤生,程树志",3601,19830518,西藏自治区,1800~1900,村边次生林中时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01907984.jpg,,,,,,,,,, +纤毛叶树萝卜,Agapetes ciliata,"程树志, 李渤生",4699,19830426,西藏,2100,长常阔林内,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1209442.jpg,,,,,,,,,, +尖叶树萝卜,Agapetes epacridea,青藏队植被组,缺号,19740800,西藏自治区,1600,附生在树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01908522.jpg,,,,,,,,,, +尖叶树萝卜,Agapetes epacridea,"刘成, 亚吉东",18CS17261,20181123,西藏,1647,次生林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487459.jpg,,,,,,,,,, +伞花树萝卜,Agapetes forrestii,"程树志,李渤生",4770,19830501,西藏自治区,2300,常阔林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/01907989.jpg,,,,,,,,,, +伞花树萝卜,Agapetes forrestii,G. Forrest,26583,19250500,云南省,2550~2600,on cliffs and forest trees,,无花无果,https://image.cvh.ac.cn/files/l/PE/00195226.jpg,,,,,,,,,, +狭萼中型树萝卜,Agapetes interdicta var. stenoloba,邱炳云,54085,19570329,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/31003.jpg,,,,,,,,,, +狭萼中型树萝卜,Agapetes interdicta var. stenoloba,H.Ohashi etc.,770206,19770729,Topke Gola,2100~1600,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/30995.jpg,,,,,,,,,, +,Agapetes interdicta var. stenoloba,"Forrest, George",25678,24-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00078236.jpg,,,,,,,,,, +光果树萝卜,Agapetes leiocarpa,"李渤生,程树志",4316,19830426,西藏自治区,1600,沟边石上大树上附生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00196711.jpg,,,,,,,,,, +光果树萝卜,Agapetes leiocarpa,"李渤生, 程树志",4316,19830426,西藏,1600,沟边 石上 大树上附生,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1209447.jpg,,,,,,,,,, +白果树萝卜,Agapetes leucocarpa,"李渤生,程树志",5166,19830623,西藏自治区,2300~2400,生树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00197791.jpg,,,,,,,,,, +白果树萝卜,Agapetes leucocarpa,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,972,20121018,西藏,,石上附生,藤状灌木,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230313.jpg,,,,,,,,,, +白花树萝卜,Agapetes mannii,"税玉民,陈文红,盛家舒",40476,20031120,云南省,1800,石缝,,无花有果,https://image.cvh.ac.cn/files/l/PE/01907970.jpg,,,,,,,,,, +白花树萝卜,Agapetes mannii,G.Forrest,30987,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01907967.jpg,,,,,,,,,, +边脉树萝卜,Agapetes marginata,"程树志,李渤生",2988,19830318,西藏自治区,750~800,林缘时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01907972.jpg,,,,,,,,,, +墨脱树萝卜,Agapetes medogensis,"李渤生,程树志",4261,19830422,西藏自治区,1700~2200,cy mo 林树上附生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01907993.jpg,,,,,,,,,, +,Agapetes miranda,"Ludlow, Sherriff, & Taylor",3718,6-May-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00327770.jpg,,,,,,,,,, +亮红树萝卜,Agapetes mitrarioides,张承志,740088,19740501,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00197788.jpg,,,,,,,,,, +长圆叶树萝卜,Agapetes oblonga,T.T.Yu,20539,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01907977.jpg,,,,,,,,,, +长圆叶树萝卜,Agapetes oblonga,G.Forrest,26584,19240000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0419976.jpg,,,,,,,,,, +长圆叶树萝卜,Agapetes oblonga,,55958,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0419975.jpg,,,,,,,,,, +倒挂树萝卜,Agapetes pensilis,青藏队植被组,2910,19740831,西藏自治区,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838885.jpg,,,,,,,,,, +倒挂树萝卜,Agapetes pensilis,青藏队,9766,19820830,云南省,2300,山坡落叶与常绿阔叶混交林,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908686.jpg,,,,,,,,,, +,Agapetes praeclara,"蔡杰,刘恩德,郭永杰",13CS7659,20130530,西藏自治区,2380,河谷公路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1375390.jpg,,,,,,,,,, +,Agapetes praeclara,Kingdon-Ward Frank,6323,28-Nov-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00327766.jpg,,,,,,,,,, +藏布江树萝卜,Agapetes praeclara,郭永杰;张桥蓉;秦少发;张凤琼,16CS14563,20161122,西藏,2223,附生在树干上,附生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1480848.jpg,,,,,,,,,, +毛花树萝卜,Agapetes pubiflora,"董洪进,王泽欢,胡国雄等",445,20111111,云南省,1300,on foredt edge velley,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005654.jpg,,,,,,,,,, +毛花树萝卜,Agapetes pubiflora,T.T.Yu,21058,19381121,云南省 ,1600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0419977.jpg,,,,,,,,,, +毛花树萝卜,Agapetes pubiflora,白洪兵、海仙,5333241812051231LY,20181205,云南,1238,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009663.jpg,,,,,,,,,, +五翅莓,Agapetes serpens,青藏队,6653,19750630,西藏自治区,2200,阔叶林中树上附生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00195258.jpg,,,,,,,,,, +五翅莓,Agapetes serpens,刘慎谔,6338,19320312,,2185,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00195247.jpg,,,,,,,,,, +西藏树萝卜,Agapetes xizangensis,"程树志,倪志诚,李渤生",4818,19830510,西藏自治区,1650,常绿阔叶林内时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908731.jpg,,,,,,,,,, +山椤,Aglaia elaeagnoidea,黄俞淞、廖云标等,LZ494,20110705,广西壮族自治区,330,石灰岩山地季雨林(石山),灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00205371.jpg,,,,,,,,,, +山椤,Aglaia elaeagnoidea,于胜祥、张晓霞、周洪志、等,451031130808034LY,20130808,广西,460,灌丛,路旁,黄棕壤,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0194572.jpg,,,,,,,,,, +,Aglaia lawii,刘恩德,彭华等,3458,20120222,云南省 ,1260,forest margin streamside,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1227523.jpg,,,,,,,,,, +,Aglaia lawii,董洪进,王泽欢等,904,20121226,云南省,570,valley,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1228438.jpg,,,,,,,,,, +,Aglaia lawii,侯宽昭,70568,19330423,海南省,700,林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0500982.jpg,,,,,,,,,, +龙芽草(原变种),Agrimonia pilosa var. pilosa,谢登峰、成瑞渝,2028449,20190920,四川,4594,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02028449.jpg,,,,,,,,,, +龙牙草,Agrimonia pilosa var. pilosa,何顺志等,308119,20030819,贵州省,400,山谷、路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/GZTM/0015511.jpg,,,,,,,,,, +龙芽草,Agrimonia pilosa var. pilosa,田林普查队,4.51E+14,20121014,广西壮族自治区,860,,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI064883.jpg,,,,,,,,,, +沙蓬,Agriophyllum squarrosum,陈全胜,CF-0010-295,20170827,内蒙古自治区,1074,河滩草甸,平坦开阔,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246558.jpg,,,,,,,,,, +沙蓬,Agriophyllum squarrosum,黄河调查队,8635,19560905,宁夏回族自治区,,涧地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01572244.jpg,,,,,,,,,, +沙蓬,Agriophyllum squarrosum,黄河调查队,7649,19560804,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01572243.jpg,,,,,,,,,, +毛沙生冰草,Agropyron desertorum var. pilosiusculum,陈世龙,张得钧,高庆波,张发起,ChenSL0030,20080722,青海,3020,干热河谷,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1399553.jpg,,,,,,,,,, +毛沙生冰草,Agropyron desertorum var. pilosiusculum,新疆队,549,19780618,新疆,1960,山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0332424.jpg,,,,,,,,,, +毛沙生冰草,Agropyron desertorum var. pilosiusculum,郭本兆,3542,19560801,甘肃,,坡地,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0076110.jpg,,,,,,,,,, +,Agrostis aequilemma,,5582,19740716,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00038835.jpg,,,,,,,,,, +,Agrostis aequilemma,,,19260722,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/019111493.jpg,,,,,,,,,, +,Agrostis affinis,伍典汉,6628,19740723,四川省,3800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00038836.jpg,,,,,,,,,, +,Agrostis brachiata,红广渝,4189,20100804,陕西省,995,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066142.jpg,,,,,,,,,, +,Agrostis brachiata,巴山采集队,2324,20080725,重庆市,2140,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01850989.jpg,,,,,,,,,, +大锥剪股颖,Agrostis brachiata,王作宾,9797,19380918,四川,2500,山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0052381.jpg,,,,,,,,,, +,Agrostis canina,蒙宁队,1238,19620716,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02061778.jpg,,,,,,,,,, +,Agrostis canina,,133,19561221,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02029348.jpg,,,,,,,,,, +,Agrostis canina,,s.n.,19590910,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01765784.jpg,,,,,,,,,, +,Agrostis capillaris,植物所三峡考察队,965,20080502,重庆市,916,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855058.jpg,,,,,,,,,, +,Agrostis capillaris,R.C.Alexander,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01643622.jpg,,,,,,,,,, +,Agrostis capillaris,青藏队,2389,19740912,西藏自治区,4100,山坡 草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00262952.jpg,,,,,,,,,, +,Agrostis clavata subsp. micrantha,王作宾,15733,19520714,陕西省,1600,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856941.jpg,,,,,,,,,, +,Agrostis clavata subsp. micrantha,滇西北金沙江队,4166,19630529,云南省,2800,山毛棒杜鹃林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00263147.jpg,,,,,,,,,, +,Agrostis clavata subsp. micrantha,何叶琪,5354,1959/8/2,甘肃省,2100,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0391523.jpg,,,,,,,,,, +,Agrostis clavata var. clavata,陇西山考察队,800,19910601,福建省,1000~1300,山坡 沟边 林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01554067.jpg,,,,,,,,,, +巨序剪股颖,Agrostis gigantea,蒙宁队,1148,19620731,内蒙古自治区,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02061777.jpg,,,,,,,,,, +巨序剪股颖,Agrostis gigantea,,1-318,19870725,新疆维吾尔自治区,1640,草原带 天然草坡围栏中草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02029555.jpg,,,,,,,,,, +巨序剪股颖,Agrostis gigantea,泛喜马拉雅植物志巴基斯坦采集队,FPH-0635,20120623,,2400,果园,,有花有果,https://image.cvh.ac.cn/files/l/PE/02004430.jpg,,,,,,,,,, +,Agrostis himalayana,北京所 横断山队,1169,19810628,云南省,3000,两侧沟谷湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447476.jpg,,,,,,,,,, +,Agrostis hookeriana,李渤生,H-18,,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00263486.jpg,,,,,,,,,, +,Agrostis hookeriana,C.S.Liu,1429,19340829,四川省,3700~4600,in the lake side,,无花有果,https://image.cvh.ac.cn/files/l/PE/00038880.jpg,,,,,,,,,, +川西剪股颖,Agrostis hugoniana var. aristata,"李渤生,李辉,多吉次旦",13096,19900815,西藏自治区,4800,高山草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506712.jpg,,,,,,,,,, +川西剪股颖,Agrostis hugoniana var. aristata,李谱雄,16,19570900,四川省,,高山草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00263519.jpg,,,,,,,,,, +,Agrostis kunmingensis,甘启良,2495,20070817,湖北省,2400,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01849878.jpg,,,,,,,,,, +昆明剪股颖,Agrostis kunmingensis,张昌兵,ZhangCB0073,20080922,四川,3493,亚高山山麓草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1399816.jpg,,,,,,,,,, +昆明剪股颖,Agrostis kunmingensis,李盛兰,GanQL427,20130613,湖北,1214,路边草丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454170.jpg,,,,,,,,,, +侏儒剪股颖,Agrostis limprichtii,中国科学院西南综考队川滇黔接壤分队,1044,19650924,四川省,4060,草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01781231.jpg,,,,,,,,,, +侏儒剪股颖,Agrostis limprichtii,生态室高原组,15672,19800917,西藏自治区,4450,草甸中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01447480.jpg,,,,,,,,,, +侏儒剪股颖,Agrostis limprichtii,,W-17,19810813,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01447479.jpg,,,,,,,,,, +,Agrostis mackliniae,张经炜,6327,19730813,西藏自治区,4200,山脊,,有花有果,https://image.cvh.ac.cn/files/l/PE/01447543.jpg,,,,,,,,,, +小花剪股颖,Agrostis micrantha,Liu Yanchun,579,20101019,云南省,2589,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089485.jpg,,,,,,,,,, +小花剪股颖,Agrostis micrantha,甘启良,2412,20070626,湖北省,1200,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01849881.jpg,,,,,,,,,, +小花剪股颖,Agrostis micrantha,孙学刚等,2616,20010724,甘肃省,2820,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01798040.jpg,,,,,,,,,, +,Agrostis munroana,张经炜,6285,19730812,西藏自治区,3500,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00263638.jpg,,,,,,,,,, +多花剪股颖,Agrostis myriantha,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",316,20020815,云南省,2550,山坡次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102281.jpg,,,,,,,,,, +多花剪股颖,Agrostis myriantha,北京队,8924500,19890510,广西壮族自治区,1100,低洼地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981150.jpg,,,,,,,,,, +多花剪股颖,Agrostis myriantha,"姜恕,赵从福",210,19670928,西藏自治区,3000,Abies林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01793578.jpg,,,,,,,,,, +,Agrostis nervosa,"Liu Yanchun,Dong Zhaohui",227,20080530,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089283.jpg,,,,,,,,,, +,Agrostis nervosa,青藏队补点组,751107,19750802,西藏自治区,4360,冷杉林小溪边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02029396.jpg,,,,,,,,,, +,Agrostis pilosula,青藏植被组,Q131,,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01447496.jpg,,,,,,,,,, +,Agrostis pilosula,北京所 横断山队,2346,19810730,云南省,3500,Abies林缘草地常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447497.jpg,,,,,,,,,, +,Agrostis riparia,"张永田,郞楷永",1686,19650817,西藏自治区,4300,山坡 草地 水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00263840.jpg,,,,,,,,,, +,Agrostis riparia,"林业部,林型组",s.n.,19550000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00263838.jpg,,,,,,,,,, +短柄剪股颖,Agrostis schneideri var. brevipes,刘玉红,89052,19890712,重庆市,1800,山间平地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487729.jpg,,,,,,,,,, +短柄剪股颖,Agrostis schneideri var. brevipes,王启无,63559,19350600,云南省,2300,Meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/00263887.jpg,,,,,,,,,, +,Agrostis sikangensis,北京所 横断山队,2259,19810729,云南省,4100~4200,高山草甸上部局部优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447511.jpg,,,,,,,,,, +,Agrostis sikangensis,青藏队植被组,2565,19740810,西藏自治区,4450,西北坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01447508.jpg,,,,,,,,,, +,Agrostis sikangensis,"张经炜,孙世洲",99,19720813,青海省,3700,祁连山南侧前山柴达尔沟河滩地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01447506.jpg,,,,,,,,,, +,Agrostis sikkimensis,生态室高原组,14790,19800902,西藏自治区,4100,高山草甸中偶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01447515.jpg,,,,,,,,,, +,Agrostis sikkimensis,北京所 横断山队,3709,19810824,云南省,4150~4450,高山灌丛草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01447514.jpg,,,,,,,,,, +,Agrostis stolonifera,张志英,5218,19590619,甘肃省,2070,山坡农田边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02029541.jpg,,,,,,,,,, +,Agrostis stolonifera,E. Simaczeva,141,19890208,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01896835.jpg,,,,,,,,,, +,Agrostis stolonifera,,3704,19720711,西藏自治区,3200,路边田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856940.jpg,,,,,,,,,, +糙颖剪股颖,Agrostis subaristata,"关克俭,王文采等",486,19630729,四川省,3100,沼泽温泉附近,,有花有果,https://image.cvh.ac.cn/files/l/PE/00284005.jpg,,,,,,,,,, +糙颖剪股颖,Agrostis subaristata,刘坤,LiuJQ-GN-2011-384,20110818,甘肃,3525,沼泽化草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1399557.jpg,,,,,,,,,, +糙颖剪股颖,Agrostis subaristata,滇西北队,4466,19630626,云南省,2600,水边向阳处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/234709.jpg,,,,,,,,,, +,Agrostis taliensis,王启无,65354,19350800,西藏自治区,2800,Woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00284011.jpg,,,,,,,,,, +,Agrostis taliensis,王启无,63115,19350500,云南省,,Sandy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00284009.jpg,,,,,,,,,, +大理剪股颖,Agrostis taliensis,阿国仁,NJWLS1101,20111106,云南,2015,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1399556.jpg,,,,,,,,,, +硬皮禾叶兰,Agrostophyllum callosum,South Tibet Exp.Team (Jin Xiaohua etc.),STET1881,20100801,西藏自治区,1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033237.jpg,,,,,,,,,, +硬皮禾叶兰,Agrostophyllum callosum,Luo Yi-bo,451,20000930,云南省,860,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033236.jpg,,,,,,,,,, +硬皮禾叶兰,Agrostophyllum callosum,Jin Xiaohua,10134,20091009,海南省,1500,in evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033229.jpg,,,,,,,,,, +臭椿,Ailanthus altissima var. altissima,黄河队,275,19570521,山西省,430,路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0500058.jpg,,,,,,,,,, +樗,Ailanthus altissima var. altissima,李鸣岗,639,19560606,宁夏回族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/07601001w0001.jpg,,,,,,,,,, +樗,Ailanthus altissima var. altissima,刘慎谔,5045,19520913,河北省,500,,,无花有果,https://image.cvh.ac.cn/files/l/IFP/07601001w0002.jpg,,,,,,,,,, +大果臭椿,Ailanthus altissima var. sutchuenensis,方文培,3339,19280823,四川省,1000~833,At the side of the temlle.,,无花有果,https://image.cvh.ac.cn/files/l/PE/01136218.jpg,,,,,,,,,, +大果臭椿,Ailanthus altissima var. sutchuenensis,H.F.Chow,50201,19310000,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01136216.jpg,,,,,,,,,, +大果臭椿,Ailanthus altissima var. sutchuenensis,陈照宙,51369,19580727,广西壮族自治区,1000,山地田边阳处湿土少见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01136070.jpg,,,,,,,,,, +无翅兔儿风,Ainsliaea aptera,"陈又生,张树仁,于胜祥,卫然",711,20111019,西藏自治区,2855,山谷疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016695.jpg,,,,,,,,,, +无翅兔儿风,Ainsliaea aptera,,Q57,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803629.jpg,,,,,,,,,, +无翅兔儿风,Ainsliaea aptera,"金效华,王利松,刘恩德",156,20020911,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797021.jpg,,,,,,,,,, +厚叶兔儿风,Ainsliaea crassifolia,"陈又生,毕延超",11-057,20110726,四川省,3041,陡崖上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016623.jpg,,,,,,,,,, +厚叶兔儿风,Ainsliaea crassifolia,G.Forrest,11070,19130900,云南省,3333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799848.jpg,,,,,,,,,, +,Ainsliaea fulvipes,尹志坚等,1615,20090722,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247289.jpg,,,,,,,,,, +黄毛兔儿风,Ainsliaea fulvipes,S.S.Sin,1748,19280000,广西壮族自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0515670.jpg,,,,,,,,,, +长穗兔儿风,Ainsliaea henryi,"朱大海,王永,尚涛",2056,20031002,四川省,1100,山坡下部林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112576.jpg,,,,,,,,,, +长穗兔儿风,Ainsliaea henryi,"H.Li,S.X.Yang,R.Li etc.",241,20020814,云南省,2600,常绿阔叶林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091129.jpg,,,,,,,,,, +宽叶兔儿风,Ainsliaea latifolia,"李渤生,程树志",1281,19821013,西藏自治区,2650,铁杉林下阴坡时见草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235999.jpg,,,,,,,,,, +宽叶兔儿风,Ainsliaea latifolia,"X.H.Jin,Y.S.Chen et al.",DLJ-ET0494,20080627,云南省,,evergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113455.jpg,,,,,,,,,, +宽叶兔儿风,Ainsliaea latifolia,巴山采集队,6118,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059929.jpg,,,,,,,,,, +大头兔儿风,Ainsliaea macrocephala,FLPH Sichuan Expedition,152201,20150905,四川省,,林缘草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084433.jpg,,,,,,,,,, +大头兔儿风,Ainsliaea macrocephala,董洪进等,457,20110916,云南省,3000,under pine forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920717.jpg,,,,,,,,,, +药山兔儿风,Ainsliaea mairei,,11867,19760703,四川省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01837474.jpg,,,,,,,,,, +药山兔儿风,Ainsliaea mairei,蓝顺彬,172,19840823,云南省,2800,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01831427.jpg,,,,,,,,,, +药山兔儿风,Ainsliaea mairei,毕节队,31,19590706,贵州省,2200,山脚路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776462.jpg,,,,,,,,,, +长柄兔儿风,Ainsliaea reflexa,金效华,1187,20080702,云南省,3500,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909658.jpg,,,,,,,,,, +长柄兔儿风,Ainsliaea reflexa,S.T.Chiu et al.,3346,19960615,台湾省,2360,Trail side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01446733.jpg,,,,,,,,,, +长柄兔儿风,Ainsliaea reflexa,青藏队,10819,19820927,西藏自治区,3600,山坡 栎林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01190149.jpg,,,,,,,,,, +短冠亚菊,Ajania brachyantha,陈又生,9810,20090915,西藏自治区,3600,山谷干沙坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053255.jpg,,,,,,,,,, +短裂亚菊,Ajania breviloba,中甸队,2045,19620916,云南省,4100,"多石砾,沙山坡,沙地上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00386810.jpg,,,,,,,,,, +短裂亚菊,Ajania breviloba,联大,21225,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0036784.jpg,,,,,,,,,, +新疆亚菊,Ajania fastigiata,"朱世新,高天刚",107,20020918,新疆维吾尔自治区,2200,阳坡杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799187.jpg,,,,,,,,,, +新疆亚菊,Ajania fastigiata,吴玉虎等,3681,19860726,青海省,2700,林缘田边路边河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799185.jpg,,,,,,,,,, +新疆亚菊,Ajania fastigiata,"郭柯,郑度",P-057,19891003,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01668091.jpg,,,,,,,,,, +灌木亚菊,Ajania fruticulosa,新,4,19590909,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235377.jpg,,,,,,,,,, +灌木亚菊,Ajania fruticulosa,于兆英,2546,19810912,宁夏回族自治区,1100,石质干山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233641.jpg,,,,,,,,,, +铺散亚菊,Ajania khartensis,陈又生等,141123,20140731,内蒙古自治区,,沙砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035834.jpg,,,,,,,,,, +铺散亚菊,Ajania khartensis,FLPH Tibet Expedition,12-0550,20120914,西藏自治区,4505,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967461.jpg,,,,,,,,,, +铺散亚菊,Ajania khartensis,D.E.Boufford et al.,42648,20100805,四川省,4410~4650,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01917522.jpg,,,,,,,,,, +多花亚菊,Ajania myriantha,杨亲二,94128,19941009,云南省,,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797056.jpg,,,,,,,,,, +多花亚菊,Ajania myriantha,李馨,76745,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01668102.jpg,,,,,,,,,, +多花亚菊,Ajania myriantha,陈又生,7561,20071015,四川省,2921,河边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01649350.jpg,,,,,,,,,, +丝裂亚菊,Ajania nematoloba,胡兴宗,175,19530726,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01668105.jpg,,,,,,,,,, +丝裂亚菊,Ajania nematoloba,"T.N.Ho,B.Bartholomew,M.Watson and M.Gilbert",3132,19960918,青海省,2500,"Heavily grazed broad flood plain & adjacent dry slopes.Plain with sparse herbs(many chenopods)&grasses;some small sand dune with dense vegetation,Growing on dry slopes",,有花有果,https://image.cvh.ac.cn/files/l/PE/00568057.jpg,,,,,,,,,, +丝裂亚菊,Ajania nematoloba,,2193,19641013,甘肃省,1840,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420294.jpg,,,,,,,,,, +光苞亚菊,Ajania nitida,任再金,3923,19931020,四川省,1400,山坡下部路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01772043.jpg,,,,,,,,,, +,Ajania nitida,胡君、王东超、李丽、唐露,SC-a-083-B07,20180812,西藏,3223,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262243.jpg,,,,,,,,,, +黄花亚菊,Ajania nubigena,青藏队植被组,5693,19750801,西藏自治区,3900~4100,山坡草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519085.jpg,,,,,,,,,, +黄花亚菊,Ajania nubigena,T.P. Wang,7740,1937/9/17,四川省,3200,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0418770.jpg,,,,,,,,,, +川甘亚菊,Ajania potaninii,"李全喜,赵兴存",2594,19640824,四川省,1450,干坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824127.jpg,,,,,,,,,, +川甘亚菊,Ajania potaninii,白龙江考察队,4,19980901,甘肃省,1550,山谷 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537045.jpg,,,,,,,,,, +细裂亚菊,Ajania przewalskii,钟补求,5542,19521007,西藏自治区,,平坝石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420095.jpg,,,,,,,,,, +细裂亚菊,Ajania przewalskii,吉林师大地理系,1479,19610824,四川省,3500,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420094.jpg,,,,,,,,,, +细裂亚菊,Ajania przewalskii,祁连山南坡组,祁185,19570911,青海省,2700,林下土壤上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420070.jpg,,,,,,,,,, +紫花亚菊,Ajania purpurea,FLPH Tibet Expedition,12-0448,20120911,西藏自治区,5000~5100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967529.jpg,,,,,,,,,, +紫花亚菊,Ajania purpurea,贾慎修,1765,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01668113.jpg,,,,,,,,,, +栎叶亚菊,Ajania quercifolia,康藏植物考察队,10-2710,20100824,云南省,3264,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053489.jpg,,,,,,,,,, +栎叶亚菊,Ajania quercifolia,,3315,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01668115.jpg,,,,,,,,,, +栎叶亚菊,Ajania quercifolia,陈又生,7539,20071011,四川省,3700,路边草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01649347.jpg,,,,,,,,,, +分枝亚菊,Ajania ramosa,康藏植物考察队,10-0662,20100725,四川省,3157,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053264.jpg,,,,,,,,,, +分枝亚菊,Ajania ramosa,康藏植物考察队,10-2372,20100819,西藏自治区,2926,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053207.jpg,,,,,,,,,, +分枝亚菊,Ajania ramosa,康藏植物考察队,10-0983,20100731,青海省,4000,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052529.jpg,,,,,,,,,, +疏齿亚菊,Ajania remotipinna,FLPH Tibet Expedition,12-1953,,西藏自治区,3014,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967191.jpg,,,,,,,,,, +疏齿亚菊,Ajania remotipinna,"覃海宁,吴振海,刘冰",19263,20060923,陕西省,2070,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809844.jpg,,,,,,,,,, +疏齿亚菊,Ajania remotipinna,张志英,17161,19630930,甘肃省,1900,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799376.jpg,,,,,,,,,, +柳叶亚菊,Ajania salicifolia,秦自生,6442,19740705,四川省,3900,林间灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088033.jpg,,,,,,,,,, +柳叶亚菊,Ajania salicifolia,廉永善等,96615,19960818,甘肃省,2600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836338.jpg,,,,,,,,,, +柳叶亚菊,Ajania salicifolia,何廷农,594,19890714,青海省,2000,山沟林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830372.jpg,,,,,,,,,, +单头亚菊,Ajania scharnhorstii,青藏队植被组,13162,19760812,西藏自治区,5100,石质坡阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077086.jpg,,,,,,,,,, +单头亚菊,Ajania scharnhorstii,郭柯,K-108,19900708,青海省,4850,玄武岩台地覆沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01469142.jpg,,,,,,,,,, +单头亚菊,Ajania scharnhorstii,"李渤生,郑度,张百平",10739,19870721,新疆维吾尔自治区,4300~4900,高山 荒漠中常见物,,有花无果,https://image.cvh.ac.cn/files/l/PE/01295167.jpg,,,,,,,,,, +细叶亚菊,Ajania tenuifolia,郭柯,k-196,19900810,青海省,4520,河岸阶地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048374.jpg,,,,,,,,,, +细叶亚菊,Ajania tenuifolia,D. E. Boufford et al.,36503,20060815,四川省,3970~4010,gravelly slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01895020.jpg,,,,,,,,,, +细叶亚菊,Ajania tenuifolia,王封才,3,20040330,贵州省,400,田地边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799937.jpg,,,,,,,,,, +西藏亚菊,Ajania tibetica,PE西藏队,PE6479,20170912,西藏自治区,4530,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891021.jpg,,,,,,,,,, +西藏亚菊,Ajania tibetica,"李渤生,郑度,张百平",11122,19870820,新疆维吾尔自治区,4980,冻石 河滩 时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01295136.jpg,,,,,,,,,, +西藏亚菊,Ajania tibetica,青藏队,5028,19810818,四川省,4800,山坡 流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190187.jpg,,,,,,,,,, +矮亚菊,Ajania trilobata,植物新疆队,1084,19780725,新疆维吾尔自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235447.jpg,,,,,,,,,, +矮亚菊,Ajania trilobata,"李渤生,郑度",10974,19870812,西藏自治区,5450,冰川前缘冰水地常见物,,有花无果,https://image.cvh.ac.cn/files/l/PE/01295161.jpg,,,,,,,,,, +画笔菊,Ajaniopsis penicilliformis,西藏队植被组,6036,19750902,西藏自治区,4600,流石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935958.jpg,,,,,,,,,, +画笔菊,Ajaniopsis penicilliformis,陈晓澄等,Chenxc-301,20170907,西藏,5200,砾石滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018301.jpg,,,,,,,,,, +九味一枝蒿,Ajuga bracteosa,PE西藏考察队,7942,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332878.jpg,,,,,,,,,, +九味一枝蒿,Ajuga bracteosa,青藏队,13681,19830908,四川省,1900,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820689.jpg,,,,,,,,,, +九味一枝蒿,Ajuga bracteosa,Miyoshi Furuse,44776,19661206,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01211311.jpg,,,,,,,,,, +弯花筋骨草,Ajuga campylantha,,10661,19380705,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01476710.jpg,,,,,,,,,, +弯花筋骨草,Ajuga campylantha,T.T.Yu,1585,19320000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00958613.jpg,,,,,,,,,, +康定筋骨草,Ajuga campylanthoides,罗建等,LuoJian-XZ09089,20090613,西藏自治区,2543,林缘山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913481.jpg,,,,,,,,,, +康定筋骨草,Ajuga campylanthoides,Harry Smith,10389,19340713,四川省,2800,"mont. occid., in declivi aprico, herboso-fruticoso.",,有花有果,https://image.cvh.ac.cn/files/l/PE/00694843.jpg,,,,,,,,,, +筋骨草,Ajuga ciliata,黄河队,6836,19560512,陕西省,,山坡 阴处 沟底,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084142.jpg,,,,,,,,,, +筋骨草,Ajuga ciliata,李才贵,123,19840628,山西省,1920,杨桦林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081120.jpg,,,,,,,,,, +痢止蒿,Ajuga forrestii,林秦文,2013-258,20130602,云南省,2300,寺庙边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040566.jpg,,,,,,,,,, +痢止蒿,Ajuga forrestii,T.T.Yu,1517,19320000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00958614.jpg,,,,,,,,,, +匍枝筋骨草,Ajuga lobata,"张永田,郞楷永",4518,19660624,西藏自治区,2600,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106244.jpg,,,,,,,,,, +匍枝筋骨草,Ajuga lobata,秦仁昌,22322,19290423,云南省,,杂木林内箐边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00694593.jpg,,,,,,,,,, +匐枝筋骨草,Ajuga lobata,,7790,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0564151.jpg,,,,,,,,,, +,Ajuga lupulina var. lupulina,青藏队植被组,9574,19760821,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00921759.jpg,,,,,,,,,, +,Ajuga lupulina var. lupulina,姜恕,7333,19610707,四川省,2900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00694711.jpg,,,,,,,,,, +白苞筋骨草,Ajuga lupulina var. lupulina,中甸队,826,19620814,云南省,3300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/77088.jpg,,,,,,,,,, +齿苞,Ajuga lupulina var. major,青藏队,4301,19810825,四川省,3200,石灰岩山坡碎石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00921760.jpg,,,,,,,,,, +齿苞,Ajuga lupulina var. major,Y. Tsiang,9813,19320615,江西省,115,at side of pond,,有花有果,https://image.cvh.ac.cn/files/l/PE/00694780.jpg,,,,,,,,,, +齿苞,Ajuga lupulina var. major,T. T. Yu,15392,19370801,云南省,2800,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00694779.jpg,,,,,,,,,, +大籽筋骨草(原变种),Ajuga macrosperma var. macrosperma,德保县普查队,451024160515004LY,20160515,广西壮族自治区,652,山洞,草本,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0175311.jpg,,,,,,,,,, +紫背金盘,Ajuga nipponensis,"王强,刘杉杉",WF008,20140524,江西省,,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328320.jpg,,,,,,,,,, +紫背金盘,Ajuga nipponensis,"刘冰,孙英宝,徐晓婷等",955,20070816,云南省,2100,灌丛边缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042879.jpg,,,,,,,,,, +紫背金盘,Ajuga nipponensis,云台山采集队,856,20090614,河南省,,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034800.jpg,,,,,,,,,, +高山筋骨草,Ajuga nubigena,T. T. Yu,5758,19370526,四川省,3700,under woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00695062.jpg,,,,,,,,,, +高山筋骨草,Ajuga nubigena,青藏队,74-3796,19740731,西藏自治区,3200,山坡路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00695000.jpg,,,,,,,,,, +圆叶筋骨草(原变种),Ajuga ovalifolia var. ovalifolia,刘成;张挺;李昌洪,19CS18118,20190726,四川,3764,次生林林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551296.jpg,,,,,,,,,, +喜荫筋骨草,Ajuga sciaphila,FLPH Tibet Expedition,12-1011,20120912,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011167.jpg,,,,,,,,,, +喜荫筋骨草,Ajuga sciaphila,G.Forrest,21394,19320600,四川省,,in shady pine forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031116.jpg,,,,,,,,,, +喜荫筋骨草,Ajuga sciaphila,木里队,449,19780719,四川,,,匍匐生草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717300649.jpg,,,,,,,,,, +异叶元宝草,Alajja anomala,新疆采集队,1913,1978/8/4,新疆,3300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0337196.jpg,,,,,,,,,, +异叶元宝草,Alajja anomala,新疆采集队,1913,78.08.04,新疆维吾尔自治区 ,3300,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00031753.jpg,,,,,,,,,, +异叶元宝草,Alajja anomala,新疆采集队,1913,780804,,3300,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20003022.jpg,,,,,,,,,, +高山八角枫,Alangium alpinum,PE西藏队,PE6215,20170910,西藏自治区,2488~2994,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02330398.jpg,,,,,,,,,, +高山八角枫,Alangium alpinum,青藏队,8229,19820720,云南省,2000~2100,常绿阔叶林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02028390.jpg,,,,,,,,,, +高山八角枫,Alangium alpinum,George Forrest,24724,19240700,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028388.jpg,,,,,,,,,, +八角枫(原亚种),Alangium chinense subsp. chinense,李玉龙,522726140715012 LY,20140715,贵州省,884,阳性、灌丛、酸性土、中生、中温、野生植物,灌木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0065548.jpg,,,,,,,,,, +八角枫,Alangium chinense subsp. chinense,田林普查队,4.51E+14,20130427,广西壮族自治区,1539,针阔叶混交林,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI065167.jpg,,,,,,,,,, +八角枫,Alangium chinense subsp. chinense,平乐县普查队,450330180516006LY,20180516,广西,136,针阔叶混交林、林缘、黄棕壤,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0209906.jpg,,,,,,,,,, +稀花八角枫,Alangium chinense subsp. pauciflorum,PE-古蔺考察队,183,20100531,四川省,1065~1230,"山坡,杂木林",,有花无果,https://image.cvh.ac.cn/files/l/PE/01864840.jpg,,,,,,,,,, +稀花八角枫,Alangium chinense subsp. pauciflorum,白水江采集队,4008,20070502,甘肃省,950,水沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01827919.jpg,,,,,,,,,, +稀花八角枫,Alangium chinense subsp. pauciflorum,武陵队,1418,19880920,湖南省,900,山地 山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01344191.jpg,,,,,,,,,, +伏毛八角枫,Alangium chinense subsp. strigosum,武陵山考察队,1543,19880708,贵州省,700,石灰岩 灌丛林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01344245.jpg,,,,,,,,,, +伏毛八角枫,Alangium chinense subsp. strigosum,刘淼等,A10036,20050517,安徽省,500,生于沟边灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01058412.jpg,,,,,,,,,, +深裂八角枫,Alangium chinense subsp. triangulare,谭策铭,95457,19950630,江西省,830,山谷林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833662.jpg,,,,,,,,,, +深裂八角枫,Alangium chinense subsp. triangulare,梁慧舟等,3551,20030806,台湾省,1100,"Broadleaf forest,on mountain slope",,无花无果,https://image.cvh.ac.cn/files/l/PE/01833661.jpg,,,,,,,,,, +深裂八角枫,Alangium chinense subsp. triangulare,白水江采集队,4950,20070514,甘肃省,1600,山坡杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827918.jpg,,,,,,,,,, +楹树,Albizia chinensis,红水河植物考察队,1723,19890527,云南省,1300,石灰岩杂木林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01965760.jpg,,,,,,,,,, +楹树,Albizia chinensis,PE-古蔺考察队,327,20100602,四川省,670,山坡林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01864214.jpg,,,,,,,,,, +楹树,Albizia chinensis,王封才,310,20040804,贵州省,550,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01710188.jpg,,,,,,,,,, +合欢,Albizia julibrissin,川黔队,1352,19560901,贵州省,1250,山坡 密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083733.jpg,,,,,,,,,, +合欢,Albizia julibrissin,"Ja-Ram Hong,Mi-Sook Lee,Ji-Eun Choi etc.",SMD140505,20140709,,33,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063461.jpg,,,,,,,,,, +合欢,Albizia julibrissin,张志耘等,2014-157,20140520,江西省,850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015420.jpg,,,,,,,,,, +山槐,Albizia kalkora,"Cribb, P.J.Chau, K.C.Luo, Y.B.Ohi et al.",ASBK484,19970510,广西壮族自治区,600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01965807.jpg,,,,,,,,,, +山槐,Albizia kalkora,谭策铭,9610195,19961005,江西省,1450,向阳山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01879530.jpg,,,,,,,,,, +山槐,Albizia kalkora,巴山采集队,3543,20100724,四川省,534,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873191.jpg,,,,,,,,,, +阔荚合欢,Albizia lebbeck,C.O.Levine,s.n.,19170210,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01604362.jpg,,,,,,,,,, +阔荚合欢,Albizia lebbeck,S.A.Fakih,497,19991124,,60,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597654.jpg,,,,,,,,,, +阔荚合欢,Albizia lebbeck,"陈昌笃,王金亭,董惠民",21008,19520914,江苏省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01566352.jpg,,,,,,,,,, +光叶合欢,Albizia lucidior,高天刚,237,19971128,云南省,570,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01710206.jpg,,,,,,,,,, +光叶合欢,Albizia lucidior,中越考察队,744,19641223,,200~260,石灰岩林缘阳性落丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01684751.jpg,,,,,,,,,, +毛叶合欢,Albizia mollis,北京所横断山队,1932,19810724,云南省,,金沙江南岸 干热河谷江边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01487567.jpg,,,,,,,,,, +毛叶合欢,Albizia mollis,姜恕,423,19671105,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00322620.jpg,,,,,,,,,, +藏合欢,Albizia sherriffii,"李渤生,程树志",4107,19830415,西藏自治区,1800,常绿阔叶林缘时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074746.jpg,,,,,,,,,, +藏合欢,Albizia sherriffii,青藏队,9100,19820809,云南省,1300~1400,山坡次生林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00327263.jpg,,,,,,,,,, +无毛羽衣草,Alchemilla glabra,"何铸,周子林",13737,19520000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00560842.jpg,,,,,,,,,, +无毛羽衣草,Alchemilla glabra,P.Frost-Olsen,863,19770621,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0284590.jpg,,,,,,,,,, +无毛羽衣草,Alchemilla glabra,周太炎等,652060,19650808,新疆维吾尔自治区,2140,河边草地,,有花有果,https://image.cvh.ac.cn/files/l/KUN/636341.jpg,,,,,,,,,, +纤细羽衣草,Alchemilla gracilis,,95,19830615,山西省,2100,云杉林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01537892.jpg,,,,,,,,,, +纤细羽衣草,Alchemilla gracilis,,5222,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352598.jpg,,,,,,,,,, +纤细羽衣草,Alchemilla gracilis,K.M.Feng,1548,19390707,云南省,,on open pasture,,有花无果,https://image.cvh.ac.cn/files/l/PE/00560899.jpg,,,,,,,,,, +羽衣草,Alchemilla japonica,"李振宇,范晓虹等",12379,20120727,新疆维吾尔自治区,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005081.jpg,,,,,,,,,, +羽衣草,Alchemilla japonica,井波一雄,CBM 219144,19540801,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880303.jpg,,,,,,,,,, +长蕊木兰,Alcimandra cathcartii,S.K.WU et al.,3700,19960930,云南省,2560,Under dense forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01852916.jpg,,,,,,,,,, +长蕊木兰,Alcimandra cathcartii,,2484,19740912,西藏自治区,1800,常绿阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01852811.jpg,,,,,,,,,, +黑蒴,Alectra avensis,Y.Tateishi & H.Hoshi,21499,19851112,台湾省,1300~1450,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01591161.jpg,,,,,,,,,, +黑蒴,Alectra avensis,刀志灵,Dao 149,19891127,云南省,1150~1200,路边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1267892.jpg,,,,,,,,,, +黑蒴,Alectra avensis,李延辉,3686,19611206,云南省 ,1050,路边疏林下干燥,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1267894.jpg,,,,,,,,,, +高山粉条儿菜,Aletris alpestris,覃海宁等,201,20010829,四川省,3600~3800,半阴坡山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01949261.jpg,,,,,,,,,, +高山粉条儿菜,Aletris alpestris,税玉民,3374,19930810,云南省,2560,土山地山背灌丛间空地上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01791618.jpg,,,,,,,,,, +高山粉条儿菜,Aletris alpestris,白龙江考察队,177,19980717,甘肃省,2500,山地 山坡 疏林 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537187.jpg,,,,,,,,,, +头花粉条儿菜,Aletris capitata,,4311,19220000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075745.jpg,,,,,,,,,, +头花粉条儿菜,Aletris capitata,,874,19600520,四川,,山坡林丛中,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM722200001.jpg,,,,,,,,,, +头花粉条儿菜,Aletris capitata,刘正宇,781233,19780617,重庆市,1960,山地阴湿岩壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0015738.jpg,,,,,,,,,, +无毛粉条儿菜,Aletris glabra,"张树仁,陈淑荣,朗校安等",1837,20140612,四川省,1219,山坡 林下 沙土,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021794.jpg,,,,,,,,,, +无毛粉条儿菜,Aletris glabra,巴山采集队,2277,20080725,重庆市,1900,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860740.jpg,,,,,,,,,, +腺毛粉条儿菜,Aletris glandulifera,"郎楷永,李良千,费勇",215,19820625,四川省,2500~2700,河边漫地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01133623.jpg,,,,,,,,,, +腺毛粉条儿菜,Aletris glandulifera,K.T.Fu,1336,19370722,甘肃省,3800,among weeds on slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00075912.jpg,,,,,,,,,, +腺毛粉条儿菜,Aletris glandulifera,T.N.Liou et P.C.Tsoong,2810,19380725,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00075911.jpg,,,,,,,,,, +星花粉条儿菜,Aletris gracilis,T.T.Yu,19282,19380900,云南省,2950,Margin of thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00001530.jpg,,,,,,,,,, +星花粉条儿菜,Aletris gracilis,任宗昕,蒋伟,张明英,骆洋,王雪芹,WH-2012-0392,20120625,云南,2887,林下,草本,,https://image.cvh.ac.cn/files/l/KUN/1391079.jpg,,,,,,,,,, +星花粉条儿菜,Aletris gracilis,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11997,20161120,西藏,1594,路边山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445175.jpg,,,,,,,,,, +疏花粉条儿菜,Aletris laxiflora,PE西藏考察队,7661,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332619.jpg,,,,,,,,,, +疏花粉条儿菜,Aletris laxiflora,于胜祥等,4926,20110806,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01902240.jpg,,,,,,,,,, +疏花粉条儿菜,Aletris laxiflora,巴山采集队,1145,20080709,重庆市,1090,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860746.jpg,,,,,,,,,, +狭瓣粉条儿菜,Aletris stenoloba,于胜祥等,4930,20110806,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902241.jpg,,,,,,,,,, +狭瓣粉条儿菜,Aletris stenoloba,白水江考察队,4357,20070506,甘肃省,930,山坡旱地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823261.jpg,,,,,,,,,, +狭瓣粉条儿菜,Aletris stenoloba,植物所三峡考察队,850,20080427,重庆市,1142,杉木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01822993.jpg,,,,,,,,,, +薄叶翅膜菊,Alfredia acantholepis,"陈又生,袁慊",141526,20140814,新疆维吾尔自治区,2112,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064444.jpg,,,,,,,,,, +薄叶翅膜菊,Alfredia acantholepis,E.Mokeeva et al.,s.n.,19240809,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01668149.jpg,,,,,,,,,, +草泽泻,Alisma gramineum,王战,2075,19510824,内蒙古自治区,600,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766690.jpg,,,,,,,,,, +草泽泻,Alisma gramineum,王崇书,s.n.,19550800,黑龙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766687.jpg,,,,,,,,,, +东方泽泻,Alisma orientale,王洪,4658,20000405,云南省,1200,农田中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239507.jpg,,,,,,,,,, +东方泽泻,Alisma orientale,黄河队,7749,19560819,陕西省,,水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060880.jpg,,,,,,,,,, +东方泽泻,Alisma orientale,黄河队,7916,19560908,宁夏回族自治区,,水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060878.jpg,,,,,,,,,, +扁毛菊,Allardia glabra,青藏队吴玉虎,1250,19870829,新疆,5250,流石坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028484.jpg,,,,,,,,,, +扁毛菊,Allardia glabra,青藏队,76-8271,19760722,西藏,4800,碎石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028485.jpg,,,,,,,,,, +,Allardia nivea,"Thomson, Thomas",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00413515.jpg,,,,,,,,,, +,Allardia vestita,"Thomson, T.",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00413514.jpg,,,,,,,,,, +针叶韭,Allium aciphyllum,J.M.Xu,3,19750920,四川省,2050,岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00033548.jpg,,,,,,,,,, +针叶韭,Allium aciphyllum,蔡杰,张挺,刘成等,10CS2581,20100925,四川,3576,路边山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391158.jpg,,,,,,,,,, +针叶韭,Allium aciphyllum,俞德浚,20321,0,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/229046.jpg,,,,,,,,,, +蓝苞葱,Allium atrosanguineum,白水江考察队,343,20060627,甘肃省,1960~3148,林缘或林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823265.jpg,,,,,,,,,, +蓝苞葱,Allium atrosanguineum,"汤宗孝,柏正强,任文夫",94,19930726,四川省,3600,沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/01645042.jpg,,,,,,,,,, +蓝苞葱,Allium atrosanguineum,汤宗孝,616,19810715,云南省,4550,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01595340.jpg,,,,,,,,,, +蓝花韭,Allium beesianum,,22730,19590924,云南省,3350,岩石草丛边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00114126.jpg,,,,,,,,,, +蓝花韭,Allium beesianum,李馨,78167,19580721,四川省,4650,山岭 草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00114116.jpg,,,,,,,,,, +石生韭,Allium caricoides,"郭柯,郑度",12839,19900907,新疆维吾尔自治区,3350,山间谷地冲积阶地 沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048083.jpg,,,,,,,,,, +石生韭,Allium caricoides,青藏队吴玉虎,3860,19880723,新疆维吾尔自治区 ,3220,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/148696.jpg,,,,,,,,,, +,Allium carolinianum,郭柯,k-33,19900618,青海省,4580,沙质地高寒草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048965.jpg,,,,,,,,,, +,Allium carolinianum,泛喜马拉雅植物志巴基斯坦采集队,FPH-0836,20120625,,3700,Plateau,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004603.jpg,,,,,,,,,, +,Allium carolinianum,康藏植物考察队,10-1399,20100806,西藏自治区,4600~4800,流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967776.jpg,,,,,,,,,, +昌都韭,Allium changduense,青藏队植被组,9956,19760901,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532561.jpg,,,,,,,,,, +昌都韭,Allium changduense,胡考农,20988,19790820,四川省,0~4400,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628247.jpg,,,,,,,,,, +剑川韭,Allium chienchuanense,P.I.Mao,245,19560906,云南省,3150,潮湿肥沃沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00033591.jpg,,,,,,,,,, +野葱,Allium chrysanthum,"石硕,梁文达",SZ4096,20140907,河北省,392,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034032.jpg,,,,,,,,,, +野葱,Allium chrysanthum,巴山采集队,1835,20080719,陕西省,2300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860732.jpg,,,,,,,,,, +野葱,Allium chrysanthum,巴山采集队,2175,20080725,重庆市,2383,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860731.jpg,,,,,,,,,, +折被韭,Allium chrysocephalum,青藏队植被组,2695,19740811,西藏自治区,,山麓 缓坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532559.jpg,,,,,,,,,, +折被韭,Allium chrysocephalum,,696,19640819,青海省,4400~4500,山坡 草甸和灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532557.jpg,,,,,,,,,, +折被韭,Allium chrysocephalum,刘玉红,89070,19890729,重庆市,2100,高山脚下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517808.jpg,,,,,,,,,, +天蓝韭,Allium cyaneum,汤宗孝等,1047,19810913,云南省,3760,石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939359.jpg,,,,,,,,,, +天蓝韭,Allium cyaneum,PE西藏队,PE5598,20170901,西藏自治区,4235,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891527.jpg,,,,,,,,,, +天蓝韭,Allium cyaneum,孙学刚等,20010413,20010820,甘肃省,2500,山坡林下林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855140.jpg,,,,,,,,,, +杯花韭,Allium cyathophorum,康藏植物考察队,10-2091,20100817,西藏自治区,3670,溪边灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967777.jpg,,,,,,,,,, +杯花韭,Allium cyathophorum,汤宗孝,625,19820805,四川省,3900,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645037.jpg,,,,,,,,,, +杯花韭,Allium cyathophorum,白龙江考察队,537,19980721,甘肃省,2800,山地 山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537188.jpg,,,,,,,,,, +真籽韭,Allium eusperma,青藏队,3066,19810714,四川省,2700,河谷山坡 干旱灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01133717.jpg,,,,,,,,,, +真籽韭,Allium eusperma,T.T.Yu,13387,19370918,云南省,2600,mangin of thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00114776.jpg,,,,,,,,,, +粗根韭,Allium fasciculatum,PE西藏考察队,8046,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331630.jpg,,,,,,,,,, +粗根韭,Allium fasciculatum,杨永昌,1152,19650711,青海省,4250,阳坡 灌丛内半阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519364.jpg,,,,,,,,,, +梭沙韭,Allium forrestii,横断山队植被组,4428,19830706,云南省,4300~4700,高山流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01944792.jpg,,,,,,,,,, +梭沙韭,Allium forrestii,"张经炜,郑度",1520,19730813,西藏自治区,4250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532703.jpg,,,,,,,,,, +头花韭,Allium glomeratum,郭柯等,天山632,19860816,新疆维吾尔自治区,2050,山地荒漠草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01805309.jpg,,,,,,,,,, +头花韭,Allium glomeratum,T.N.Liou,2900,19310730,四川省,2700,pasture near peiyangkou,,有花有果,https://image.cvh.ac.cn/files/l/PE/00033675.jpg,,,,,,,,,, +金头韭,Allium herderianum,唐宇丹,Q007,20050831,青海省,2695,山沟溪边光照较充足,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939866.jpg,,,,,,,,,, +金头韭,Allium herderianum,廉永善等,96693,19960818,甘肃省,3080,石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517839.jpg,,,,,,,,,, +宽叶韭,Allium hookeri,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",981,20021108,云南省,2520,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088801.jpg,,,,,,,,,, +宽叶韭,Allium hookeri,PE西藏队,PE5143,20170826,西藏自治区,4346,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891530.jpg,,,,,,,,,, +宽叶韭,Allium hookeri,PE-古蔺考察队,794,20100907,四川省,1070~977,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01864732.jpg,,,,,,,,,, +北疆韭,Allium hymenorhizum,何兴金,张小亮,97655,19970813,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00099918.jpg,,,,,,,,,, +钟花韭,Allium kingdonii,"李渤生,程树志",6140,19830804,西藏自治区,4700,高山灌丛草甸中时见,,,https://image.cvh.ac.cn/files/l/PE/02072540.jpg,,,,,,,,,, +钟花韭,Allium kingdonii,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-1150,20080726,西藏,3999,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391276.jpg,,,,,,,,,, +褐皮韭,Allium korolkowii,关克俭,3147,19570807,新疆维吾尔自治区,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00115100.jpg,,,,,,,,,, +褐皮韭,Allium korolkowii,张玲,TD-01708,20070826,新疆,1724,针阔混交林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391281.jpg,,,,,,,,,, +大花韭,Allium macranthum,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-2061,20130824,西藏自治区,4000,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000332.jpg,,,,,,,,,, +大花韭,Allium macranthum,Rev.Fr.Hugh.,s.n.,18990700,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01645118.jpg,,,,,,,,,, +大花韭,Allium macranthum,汤宗孝,500,19820726,四川省,4100,山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01595323.jpg,,,,,,,,,, +薤白,Allium macrostemon,张彩飞,2675,20110601,湖南省,200~300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247314.jpg,,,,,,,,,, +薤白,Allium macrostemon,"Chen Zhiduan,Feng Min,Ma Xintang,Wang Meilin",960005,19960512,四川省,320,valley,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230080.jpg,,,,,,,,,, +薤白,Allium macrostemon,周口店考察队,203,20080927,北京市,126,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112039.jpg,,,,,,,,,, +滇韭,Allium mairei,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",796,20021107,云南省,2430,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088804.jpg,,,,,,,,,, +滇韭,Allium mairei,"李渤生,倪志诚,程树志",6843,19830827,西藏自治区,2300,河谷岩石上时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072542.jpg,,,,,,,,,, +蒙古韭,Allium mongolicum,秦仁昌,1679,19560811,新疆维吾尔自治区,,散生干旱沙质土上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230385.jpg,,,,,,,,,, +蒙古韭,Allium mongolicum,黄河队,7131,19560627,陕西省,1000,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060807.jpg,,,,,,,,,, +蒙古韭,Allium mongolicum,杨喜林等,250,19620726,宁夏回族自治区,1600,固定沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948111.jpg,,,,,,,,,, +短葶韭,Allium nanodes,D.E.Boufford et al.,42239,20100724,四川省,4600~4700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005712.jpg,,,,,,,,,, +短葶韭,Allium nanodes,T.T.Yu,12811,19370821,云南省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00033769.jpg,,,,,,,,,, +滩地韭,Allium oreoprasum,李勃生等,11701,19880618,新疆维吾尔自治区,2700~3000,山坡石壁土壁中多见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468960.jpg,,,,,,,,,, +心叶山葱,Allium ovalifolium var. cordifolium,"郎楷永,李良千,费勇",2176,19830705,四川省,3600,山坡 云杉林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01133775.jpg,,,,,,,,,, +卵叶山葱 (原变种),Allium ovalifolium var. ovalifolium,蔡杰,刘成,何谐,吕林玲,16CS11747,20160827,四川,3254,路上方高山栎桦木林下,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1435396.jpg,,,,,,,,,, +小山蒜,Allium pallasii,秦仁昌,39,19560702,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102237.jpg,,,,,,,,,, +小山蒜,Allium pallasii,秦仁昌,417,19560719,新疆维吾尔自治区,1030,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102073.jpg,,,,,,,,,, +小山蒜,Allium pallasii,Harry Smith,7600,19240618,山西省,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01644800.jpg,,,,,,,,,, +帕里韭,Allium phariense,青藏队植被组,5009,19750708,西藏自治区,4800~5200,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487933.jpg,,,,,,,,,, +帕里韭,Allium phariense,高云东,鞠文彬,杨焰,THP-KD-2003,20170717,四川,4300~4400,流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0256182.jpg,,,,,,,,,, +宽苞韭,Allium platyspathum,李渤生,11432,19870905,新疆维吾尔自治区,4400,山口南侧砾石滩中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468930.jpg,,,,,,,,,, +鹧鸪韭,Allium plurifoliatum var. zhegushanense,李馨 周继西/H.Li & T.H.Chou,74372,19570903,四川省,,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00034254.jpg,,,,,,,,,, +碱韭,Allium polyrhizum,孙国峰,X084,20050824,新疆维吾尔自治区,1189,沙石强光,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939876.jpg,,,,,,,,,, +碱韭,Allium polyrhizum,何叶祺,3673,19590630,甘肃省,2200,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939840.jpg,,,,,,,,,, +青甘韭,Allium przewalskianum,王金亭,3778,19610826,西藏自治区,4500,沼泽地及山梁上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048052.jpg,,,,,,,,,, +青甘韭,Allium przewalskianum,于兆英,1732,19810813,宁夏回族自治区,2300,阳坡石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939508.jpg,,,,,,,,,, +青甘韭,Allium przewalskianum,廉永善等,96906,19960831,甘肃省,1530,石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939509.jpg,,,,,,,,,, +野韭,Allium ramosum,陈全胜,CF-0009-252,20170826,内蒙古自治区,2264,沙质草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247174.jpg,,,,,,,,,, +野韭,Allium ramosum,昌平队,127,20001013,北京市,450,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023773.jpg,,,,,,,,,, +野韭,Allium ramosum,郭成勇,20064-504-7,20061002,山东省,450,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01944322.jpg,,,,,,,,,, +野黄韭,Allium rude,"汤宗孝,柏正强,任文夫",617,19930806,四川省,3600,山坡 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01595335.jpg,,,,,,,,,, +野黄韭,Allium rude,刘尚武,332,19650808,青海省,4400,山坡 石岩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532587.jpg,,,,,,,,,, +北葱,Allium schoenoprasum,,78-64,19780723,吉林省,730,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517837.jpg,,,,,,,,,, +北葱,Allium schoenoprasum,,昌664,19720818,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01205842.jpg,,,,,,,,,, +北葱,Allium schoenoprasum,F.Filarszky,893,19210618,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00139089.jpg,,,,,,,,,, +高山韭,Allium sikkimense,张德瑞,67,19930901,四川省,3460,草甸草场,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948171.jpg,,,,,,,,,, +高山韭,Allium sikkimense,孙国峰,Q028,20050831,青海省,2725,山沟溪边阴湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01944311.jpg,,,,,,,,,, +高山韭,Allium sikkimense,PE西藏队,PE6495,20170912,西藏自治区,3588,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01891533.jpg,,,,,,,,,, +管花葱,Allium siphonanthum,Delavay,4712,18900904,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00034345.jpg,,,,,,,,,, +管花葱,Allium siphonanthum,刘成,蔡杰,13CS6776,20131107,云南,1914,干热河谷石灰岩山坡灌丛,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1396559.jpg,,,,,,,,,, +松潘韭,Allium songpanicum,K.T.Fu,2200,19371022,四川省,1650,among bushes or on weedy place,herb perennial,有花无果,https://image.cvh.ac.cn/files/l/PE/00034346.jpg,,,,,,,,,, +松潘韭,Allium songpanicum,T.P.Wang,7947,1937/10/23,四川,1600,,"herb,with stong odor",无花无果,https://image.cvh.ac.cn/files/l/WUK/0028411.jpg,,,,,,,,,, +唐古韭,Allium tanguticum,青藏队植被组,8848,19760703,西藏自治区,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532589.jpg,,,,,,,,,, +唐古韭,Allium tanguticum,林有润等,80-097,19800906,青海省,2800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00139780.jpg,,,,,,,,,, +唐古韭,Allium tanguticum,何叶祺,938,19581003,甘肃省,1000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00139770.jpg,,,,,,,,,, +细叶韭,Allium tenuissimum,陈全胜,CF-0002-031,20170820,内蒙古自治区,717,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246943.jpg,,,,,,,,,, +细叶韭,Allium tenuissimum,石雷 林秦文,2011019,20110415,北京市,150,阳坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112314.jpg,,,,,,,,,, +细叶韭,Allium tenuissimum,老铁山采集队 王小平,510,20080805,辽宁省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089782.jpg,,,,,,,,,, +天山韭,Allium tianschanicum,秦仁昌,1658,19560811,新疆维吾尔自治区,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309006.jpg,,,,,,,,,, +天山韭,Allium tianschanicum,M.Petrov.A.Vvedensky et V.Wasilevska,5527,19310829,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00156104.jpg,,,,,,,,,, +三柱韭,Allium trifurcatum,青藏队,1577,19810616,云南省,3320,云杉 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01133861.jpg,,,,,,,,,, +三柱韭,Allium trifurcatum,J.F.Rock,16300,19280600,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00156144.jpg,,,,,,,,,, +,Allium victorialis,李才贵,30,19840527,山西省,2100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081490.jpg,,,,,,,,,, +,Allium victorialis,黄河队,3465,19560901,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061069.jpg,,,,,,,,,, +,Allium victorialis,傅德志等,171,20070720,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023074.jpg,,,,,,,,,, +多星韭,Allium wallichii,"H.Li,S.X.Yang,R.Li etc.",693,20021106,云南省,2530,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109692.jpg,,,,,,,,,, +多星韭,Allium wallichii,"唐宇丹,林秦文",2010-011,20100912,西藏自治区,3970,南北向河谷,近河边半沼泽,含腐殖土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015949.jpg,,,,,,,,,, +西川韭,Allium xichuanense,汤宗孝,625,19820805,四川省,3900,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01595332.jpg,,,,,,,,,, +西川韭,Allium xichuanense,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00156778.jpg,,,,,,,,,, +白花葱,Allium yanchiense,黄河队,5684,19560803,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00156810.jpg,,,,,,,,,, +白花葱,Allium yanchiense,何叶祺,7281,19590823,宁夏回族自治区,1800,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/00156807.jpg,,,,,,,,,, +齿被韭,Allium yuanum,"汤彦承,许介眉,潘开玉",95,19750907,四川省,2600,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00156827.jpg,,,,,,,,,, +齿被韭,Allium yuanum,R.C.Ching,864,19230828,甘肃省,3800~4300,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00156812.jpg,,,,,,,,,, +齿被韭,Allium yuanum,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",1266,19930815,青海省,4400~4700,Steep slopes whit mostly Kobresia meadows,,有花无果,https://image.cvh.ac.cn/files/l/PE/00156811.jpg,,,,,,,,,, +腾冲异形木,Allomorphia howellii,空,125,空,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0003926.jpg,,,,,,,,,, +腾冲异形木,Allomorphia howellii,白洪兵、海仙,5333241812051224LY,20181205,云南,1175,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009679.jpg,,,,,,,,,, +大叶异木患,Allophylus chartaceus,"程树志,李渤生",4635,19830423,西藏自治区,650,常阔林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810872.jpg,,,,,,,,,, +大叶异木患,Allophylus chartaceus,"程树志,李渤生",4635,19830423,西藏,650,常阔林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810872.jpg,,,,,,,,,, +毛颖草,Alloteropsis semialata,Liu Yanchun,301,20091020,云南省,1961,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089451.jpg,,,,,,,,,, +毛颖草,Alloteropsis semialata,R.J.Cumming,22003,20040314,,,woodland on grey-brown sand,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089300.jpg,,,,,,,,,, +毛颖草,Alloteropsis semialata,广西队,287,19550606,广西壮族自治区,400,山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01793457.jpg,,,,,,,,,, +桤木,Alnus cremastogyne,"川西队,关克俭,王文采等",2249,19630903,四川省,1550,公路行道树,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092145.jpg,,,,,,,,,, +桤木,Alnus cremastogyne,"李洪雷,,董晓宇等",LDXR117,20090916,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01865625.jpg,,,,,,,,,, +川滇桤木,Alnus ferdinandi-coburgii,"王金亭,武田义明",497,19860517,四川省,2800,山坡灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077975.jpg,,,,,,,,,, +川滇桤木,Alnus ferdinandi-coburgii,川滇黔接壤分队,208,19650510,云南省,2670,沟中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01847545.jpg,,,,,,,,,, +毛桤木,Alnus lanata,谢朝俊,40101,19550000,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0365990.jpg,,,,,,,,,, +毛桤木,Alnus lanata,毛品一,1438,19520628,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00078780.jpg,,,,,,,,,, +尼泊尔桤木,Alnus nepalensis,陈伟烈,14434,19800820,西藏自治区,900,次生林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074449.jpg,,,,,,,,,, +尼泊尔桤木,Alnus nepalensis,北京植物所横断山队,515,19810607,云南省,2300,常绿阔叶林的次生林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02043695.jpg,,,,,,,,,, +尼泊尔桤木,Alnus nepalensis,PT-ET(Putao Expedition Team): Xiaohua JIN et al.,PT-ET693,20141019,,1050~1516,in forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02027621.jpg,,,,,,,,,, +,Alocasia odora,"覃海宁,王印政,闫丽春,文香英,邓德山,唐赛春,农必明,张宪春,夏念和",732,19980416,广西壮族自治区,500,山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017380.jpg,,,,,,,,,, +,Alocasia odora,C.O.Levine,s.n.,19170502,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01604179.jpg,,,,,,,,,, +,Alocasia odora,中苏队,1751,19560414,云南省,500,山谷,阴处,潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00132469.jpg,,,,,,,,,, +看麦娘,Alopecurus aequalis,陈全胜,CF04-4033,20180625,内蒙古自治区,1708,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247071.jpg,,,,,,,,,, +看麦娘,Alopecurus aequalis,秦仁昌,1876,19560813,新疆维吾尔自治区,1200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230018.jpg,,,,,,,,,, +看麦娘,Alopecurus aequalis,Janes W. Robbins,s.n.,18300628,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088752.jpg,,,,,,,,,, +苇状看麦娘,Alopecurus arundinaceus,王文中,3075,19540724,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827484.jpg,,,,,,,,,, +苇状看麦娘,Alopecurus arundinaceus,张新时等,天山-609,19860815,新疆维吾尔自治区,2385,河滩草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805890.jpg,,,,,,,,,, +苇状看麦娘,Alopecurus arundinaceus,萧百中,3473,20040510,湖南省,460,公路山沟 河潮土 光 阳 湿度 中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780373.jpg,,,,,,,,,, +短穗看麦娘,Alopecurus brachystachyus,"刘冰,刘夙",660,20070521,内蒙古自治区,1281,湖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039140.jpg,,,,,,,,,, +短穗看麦娘,Alopecurus brachystachyus,"王忠涛,曲上,徐连升",140492,20140618,河北省,1120,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035425.jpg,,,,,,,,,, +喜马拉雅看麦娘,Alopecurus himalaicus,任媛媛,H93042,19930629,新疆维吾尔自治区,1840,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780371.jpg,,,,,,,,,, +喜马拉雅看麦娘,Alopecurus himalaicus,D.Podlech,16495,19690901,,4350,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01662017.jpg,,,,,,,,,, +喜马拉雅看麦娘,Alopecurus himalaicus,邱娟,冯建菊,LiuJQ0062,20080805,新疆,3500,草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1399895.jpg,,,,,,,,,, +云南草蔻,Alpinia blepharocalyx,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",437,20020816,云南省,2560,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088511.jpg,,,,,,,,,, +云南草蔻,Alpinia blepharocalyx,红水河植物考察队,89-1560,19890522,广西壮族自治区,650,阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018362.jpg,,,,,,,,,, +云南草蔻,Alpinia blepharocalyx,青藏队植被组,2827,19740830,西藏自治区,850,山坡 路边 北至西,,无花有果,https://image.cvh.ac.cn/files/l/PE/01485411.jpg,,,,,,,,,, +毛瓣山姜,Alpinia malaccensis,Pavlos Georgiadis,667,20110615,云南省,1678,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01897141.jpg,,,,,,,,,, +毛瓣山姜,Alpinia malaccensis,,2581,19740915,西藏自治区,650,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01790316.jpg,,,,,,,,,, +毛瓣山姜,Alpinia malaccensis,G.V.Subba Rao,30047,1968.3.6,-,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0021576.jpg,,,,,,,,,, +毛叶油丹,Alseodaphne andersonii,青藏队,74-4428,19740820,西藏自治区,1750,山坡 阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01561761.jpg,,,,,,,,,, +毛叶油丹,Alseodaphne andersonii,"王启无,刘瑛",86011,19391226,云南省,1000,dense woods,,无花无果,https://image.cvh.ac.cn/files/l/PE/01520040.jpg,,,,,,,,,, +长柄油丹,Alseodaphne petiolaris,王启无,80792,19361100,云南省,900,Mixed forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01520038.jpg,,,,,,,,,, +长柄油丹,Alseodaphne petiolaris,J.F.Maxwell,73,19890121,,1000,"partly open area along a stream,primary evergreen forest grand to bedrock",乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0105805.jpg,,,,,,,,,, +鸡骨常山,Alstonia yunnanensis,北京队,890728,19890502,广西壮族自治区,300,沟旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/02009225.jpg,,,,,,,,,, +鸡骨常山,Alstonia yunnanensis,黔北队,2138,19590821,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00975134.jpg,,,,,,,,,, +鸡骨常山,Alstonia yunnanensis,毛品一,1306,19520614,云南省,1800,斜坡干燥,,有花有果,https://image.cvh.ac.cn/files/l/PE/00975133.jpg,,,,,,,,,, +刺花莲子草,Alternanthera pungens,攀枝花苏铁考察队,70,20100711,四川省,1613,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869497.jpg,,,,,,,,,, +刺花莲子草,Alternanthera pungens,周仕顺,5747,20090515,云南省,2100,干热河谷灌木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869495.jpg,,,,,,,,,, +刺花莲子草,Alternanthera pungens,,W3,19810709,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377121.jpg,,,,,,,,,, +细青皮,Altingia excelsa,青藏队植被组,,19731023,西藏自治区,1200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086597.jpg,,,,,,,,,, +细青皮,Altingia excelsa,Arief 卫然 陈文俐,496,20141104,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02063104.jpg,,,,,,,,,, +细青皮,Altingia excelsa,税玉民,3621,19930825,云南省,1120,山坡 林边空旷地上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01858426.jpg,,,,,,,,,, +灰毛庭荠,Alyssum canescens,王金亭,3647,19610728,西藏自治区,4510,湖积平原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067808.jpg,,,,,,,,,, +灰毛庭荠,Alyssum canescens,"郭本兆,王为义",11710,19750727,青海省,,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00775847.jpg,,,,,,,,,, +灰毛庭荠,Alyssum canescens,朱格麟等,5607,19640728,新疆维吾尔自治区,1200,"低山,石山坡",,有花无果,https://image.cvh.ac.cn/files/l/PE/00775848.jpg,,,,,,,,,, +念珠藤,Alyxia fascicularis,曾宪锋,ZXF6058,2005/6/3,广东省,,,,,https://image.cvh.ac.cn/files/l/CZH/CZH0003132.jpg,,,,,,,,,, +长序链珠藤,Alyxia siamensis,华南分队,2362,19891008,广西壮族自治区,400,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0476759.jpg,,,,,,,,,, +长序链珠藤,Alyxia siamensis,蒋英,12532,19331102,云南省 ,1150,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0476775.jpg,,,,,,,,,, +长序链珠藤,Alyxia siamensis,毛品一,6606,19551011,云南省,930,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0476776.jpg,,,,,,,,,, +,Amaranthus blitum,周口店考察队,130,20080927,北京市,140,灌草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112126.jpg,,,,,,,,,, +,Amaranthus blitum,Michael A.Vincent,15662,20110908,,277,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062575.jpg,,,,,,,,,, +,Amaranthus blitum,巴山采集队,3491,20100724,四川省,494,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059867.jpg,,,,,,,,,, +,Amaranthus cruentus,"税玉良,陈文红等",65025,20060824,云南省,2050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859343.jpg,,,,,,,,,, +,Amaranthus cruentus,覃海宁等,18268,20041121,江西省,31,"村边,小树林中",,无花有果,https://image.cvh.ac.cn/files/l/PE/01842716.jpg,,,,,,,,,, +,Amaranthus hypochondriacus,赵佐成,3164,19931008,四川省,1200,阳处地边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01842710.jpg,,,,,,,,,, +,Amaranthus hypochondriacus,陕西队,65,19620000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01828650.jpg,,,,,,,,,, +,Amaranthus hypochondriacus,赵常明,EX0739,20070911,湖北省,900,农舍旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01659044.jpg,,,,,,,,,, +反枝苋,Amaranthus retroflexus,黄河队,8316,19560827,陕西省,1900,梁峁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067406.jpg,,,,,,,,,, +反枝苋,Amaranthus retroflexus,Jung-Hyun Kim & Sun-Yu Kim,KIMJH14-00022,20140826,,10,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02062015.jpg,,,,,,,,,, +反枝苋,Amaranthus retroflexus,云台山采集队,1103,20090800,河南省,,路边花坛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039747.jpg,,,,,,,,,, +腋花苋,Amaranthus roxburghianus,"清水建美,近田文弘等",34,19910720,新疆维吾尔自治区,1100,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01470001.jpg,,,,,,,,,, +腋花苋,Amaranthus roxburghianus,蓟普队,556,19720913,天津市,,河堤,,有花无果,https://image.cvh.ac.cn/files/l/PE/01219032.jpg,,,,,,,,,, +腋花苋,Amaranthus roxburghianus,,永20,19720812,河北省,100,沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01219031.jpg,,,,,,,,,, +皱果苋,Amaranthus viridis,周口店考察队,202,20080927,北京市,148,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112128.jpg,,,,,,,,,, +皱果苋,Amaranthus viridis,S.L.Thompson,ST13033,20130206,,,red loam,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109005.jpg,,,,,,,,,, +皱果苋,Amaranthus viridis,广西队,72,19550520,广西壮族自治区,,平地平原路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985975.jpg,,,,,,,,,, +,Ambroma augustum,刘恩德,1511,20060103,云南省,820,河边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925971.jpg,,,,,,,,,, +,Ambroma augustum,"张挺,刘恩德,郭永杰",13CS7634,20130528,西藏自治区,748,雅鲁藏布江边灌丛,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1371478.jpg,,,,,,,,,, +穗花杉,Amentotaxus argotaenia,北京队,892374,19890508,广西壮族自治区,1200,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01980009.jpg,,,,,,,,,, +穗花杉,Amentotaxus argotaenia,C.O.Levine,s.n.,19170822,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604265.jpg,,,,,,,,,, +穗花杉,Amentotaxus argotaenia,,890,19410718,贵州省,800,石酸性土,,无花无果,https://image.cvh.ac.cn/files/l/PE/01600327.jpg,,,,,,,,,, +水棘针,Amethystea caerulea,周口店考察队,106,20080927,北京市,140,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112079.jpg,,,,,,,,,, +水棘针,Amethystea caerulea,C.W.Wang,70041,19350900,云南省,2700,on mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079677.jpg,,,,,,,,,, +水棘针,Amethystea caerulea,黄河队,2931,19550818,山西省,1900,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075759.jpg,,,,,,,,,, +穿鞘花,Amischotolype hispida,"云南考察队(金效华,刘冰,刘博等)",YN-ET130,20090625,云南省,400,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02237832.jpg,,,,,,,,,, +穿鞘花,Amischotolype hispida,"藏东南考察队(金效华,刘冰,权旭等)",SET-ET1115,20090902,西藏自治区,1419,under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/02237831.jpg,,,,,,,,,, +穿鞘花,Amischotolype hispida,SCNG-X.H.Jin,2233,20010200,广西壮族自治区,800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02237829.jpg,,,,,,,,,, +,Amischotolype hookeri,青藏队植被组,2866,19740830,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060739.jpg,,,,,,,,,, +,Amischotolype hookeri,云南一组,231,19670700,云南省,,沟谷林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00622789.jpg,,,,,,,,,, +四裂无柱兰,Amitostigma basifoliatum,北京所横断山队,2557,19810803,云南省,3100~3300,云杉林内 湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487715.jpg,,,,,,,,,, +四裂无柱兰,Amitostigma basifoliatum,武素功,2029,19590719,四川省,2650,山箐,草块,沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00200211.jpg,,,,,,,,,, +峨眉无柱兰,Amitostigma faberi,236 四川任务组,2044,19710803,四川省,3000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01534551.jpg,,,,,,,,,, +峨眉无柱兰,Amitostigma faberi,武陵山考察队,1378B,19880622,贵州省,2300,高山 灌丛 草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01340583.jpg,,,,,,,,,, +长苞无柱兰,Amitostigma farreri,"Jin Xh,Wang LS Wang Q et al.",ST1940,20130803,云南省,3700~4231,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977067.jpg,,,,,,,,,, +长苞无柱兰,Amitostigma farreri,金效华,9116,20070801,云南,3255,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825027.jpg,,,,,,,,,, +贡嘎无柱兰,Amitostigma gonggashanicum,"郎楷永,李良千,费勇",231,19820625,四川省,2500~3000,河边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01146746.jpg,,,,,,,,,, +贡嘎无柱兰,Amitostigma gonggashanicum,"郎楷永, 李良千, 费勇",446,19820702,四川,2600,南门关沟口山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1218477.jpg,,,,,,,,,, +无柱兰,Amitostigma gracile,赵鑫磊,,20110804,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230201.jpg,,,,,,,,,, +无柱兰,Amitostigma gracile,老铁山采集队,358,20080710,辽宁省,279,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089632.jpg,,,,,,,,,, +无柱兰,Amitostigma gracile,广西队,729,19530600,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997709.jpg,,,,,,,,,, +卵叶无柱兰,Amitostigma hemipilioides,Luo Yi-bo,124,19960731,贵州省,1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01644042.jpg,,,,,,,,,, +卵叶无柱兰,Amitostigma hemipilioides,中甸队,1020,19620818,云南省,2450~2500,石灰岩石缝内,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0018086.jpg,,,,,,,,,, +卵叶无柱兰,Amitostigma hemipilioides,亚吉东,20CS19143,20200730,云南,2220,路边林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506222.jpg,,,,,,,,,, +一花无柱兰,Amitostigma monanthum,金效华,8210,20060627,甘肃省,3158,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825028.jpg,,,,,,,,,, +一花无柱兰,Amitostigma monanthum,青藏队,8504,19820724,云南省,3500,山坡 湿润草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01146748.jpg,,,,,,,,,, +一花无柱兰,Amitostigma monanthum,"应俊生,洪德元",65-0895,19650806,西藏自治区,4000,南坡矮草从中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00805609.jpg,,,,,,,,,, +蝶花无柱兰,Amitostigma papilionaceum,Harry Smith,2932B,19220705,四川省,2500,生于石壁上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00027311.jpg,,,,,,,,,, +滇蜀无柱兰,Amitostigma tetralobum,Luo Yi-bo,25,19960627,云南省,2100,山沟 NE slope 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527079.jpg,,,,,,,,,, +滇蜀无柱兰,Amitostigma tetralobum,,s.n.,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00200354.jpg,,,,,,,,,, +西藏无柱兰,Amitostigma tibeticum,G. Forrest,24656,19240000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00200364.jpg,,,,,,,,,, +西藏无柱兰,Amitostigma tibeticum,王启无,65642,19350800,云南省 ,0~3200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0623535.jpg,,,,,,,,,, +西藏无柱兰,Amitostigma tibeticum,,2110,19580814,四川省,0~3100,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0623536.jpg,,,,,,,,,, +三叉无柱兰,Amitostigma trifurcatum,Xiaohua Jin,9139,20070802,云南省,2662,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032873.jpg,,,,,,,,,, +,Amitostigma trifurcatum,M. J. Yu,20275,Sep-38,,,,,,https://image.cvh.ac.cn/files/l/HUH/AMES00064909.jpg,,,,,,,,,, +齿片无柱兰,Amitostigma yuanum,金效华,8371,20060814,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033162.jpg,,,,,,,,,, +齿片无柱兰,Amitostigma yuanum,藏南考察队,STET1295,20100727,西藏自治区,3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867308.jpg,,,,,,,,,, +沙冬青,Ammopiptanthus mongolicus,中苏队,1,19610423,内蒙古自治区,1340,沙地上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078329.jpg,,,,,,,,,, +沙冬青,Ammopiptanthus mongolicus,袁永明,738,19870328,宁夏回族自治区,1200,砾质山坡(黄河边),,无花有果,https://image.cvh.ac.cn/files/l/PE/02015474.jpg,,,,,,,,,, +沙冬青,Ammopiptanthus mongolicus,,423,19860903,甘肃省,,低山高河漫滩,砾质,,无花无果,https://image.cvh.ac.cn/files/l/PE/01833828.jpg,,,,,,,,,, +长果砂仁,Amomum dealbatum,"童绍全,夏永梅",24978,19860617,云南省,1200,箐沟中,,,https://image.cvh.ac.cn/files/l/KUN/1268327.jpg,,,,,,,,,, +长果砂仁,Amomum dealbatum,李永亮等,YDDXS0904,20111101,云南,1850,亚热针阔混交林,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1390868.jpg,,,,,,,,,, +九翅砂仁,Amomum maximum,"覃海宁,王印政,闫丽春,文香英,邓德山,唐赛春,农必明,张宪春,夏念和",537,19980413,广西壮族自治区,750,官林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018388.jpg,,,,,,,,,, +九翅砂仁,Amomum maximum,,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01376864.jpg,,,,,,,,,, +九翅砂仁,Amomum maximum,"李渤生,程树志",3552,19830130,西藏自治区,900,林下沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376862.jpg,,,,,,,,,, +豆蔻属,Amomum sp.,凌乐普查队,33683,19600725,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00137451.jpg,,,,,,,,,, +,Amomum sp.,省南药队,24,19760000,福建省,,田野,草本,,https://image.cvh.ac.cn/files/l/FJIDC/FJIDC020205.jpg,,,,,,,,,, +香豆蔻,Amomum subulatum,陈伟烈,14400,19800819,西藏自治区,1400,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376868.jpg,,,,,,,,,, +香豆蔻,Amomum subulatum,裴盛基,14067,19760819,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/048533.jpg,,,,,,,,,, +,Ampelocissus artemisiifolia,"蔡杰,亚吉东,苏勇,李昌洪",14CS9117,20140507,云南省,1866,石灰山灌丛,草质藤本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1330965.jpg,,,,,,,,,, +,Ampelocissus artemisiifolia,"Delavay, J.M.",1817,1885-7-6,,,,,,https://image.cvh.ac.cn/files/l/P/P00697494.jpg,,,,,,,,,, +酸蔹藤,Ampelocissus artemisiifolia,杨静;张品;陈高;唐荣,KIBYJ00301B12,20170720,云南,1464,干热河谷灌丛,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1562095.jpg,,,,,,,,,, +宽叶酸蔹藤,Ampelocissus latifolia,田旗、王正伟、郭光普,TQ00535,20110510,西藏,,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0071124.jpg,,,,,,,,,, +,Ampelopsis aconitifolia var. glabra,云台山采集队,654,20090611,河南省,,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031911.jpg,,,,,,,,,, +,Ampelopsis aconitifolia var. glabra,,s.n.,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01679247.jpg,,,,,,,,,, +,Ampelopsis aconitifolia var. glabra,廉永善等,96234,19960804,陕西省,700,石山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01611961.jpg,,,,,,,,,, +尖齿蛇葡萄,Ampelopsis acutidentata,青藏队,2154,19810705,云南省,2300,陡岩坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01128769.jpg,,,,,,,,,, +尖齿蛇葡萄,Ampelopsis acutidentata,青藏队,3158,19810803,四川省,2600,山坡 碎石坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01128765.jpg,,,,,,,,,, +,Ampelopsis bodinieri,巴山采集队,2859,20100720,四川省,892,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059584.jpg,,,,,,,,,, +,Ampelopsis bodinieri,巴山采集队,3278,20100722,陕西省,1201,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059563.jpg,,,,,,,,,, +,Ampelopsis delavayana var. delavayana,于际银,5-017,20030701,贵州省,1300,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612039.jpg,,,,,,,,,, +三裂蛇葡萄,Ampelopsis delavayana var. delavayana,曹铁如,90626,19900605,湖南省,450,荒地,藤本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI044532.jpg,,,,,,,,,, +三裂蛇葡萄,Ampelopsis delavayana var. delavayana,凌云普查队,4.51E+14,20130720,广西壮族自治区,1176,阔叶林,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI063558.jpg,,,,,,,,,, +毛叶蛇葡萄,Ampelopsis mollifolia,青藏队,11998,19830714,四川省,1300,江边灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01128776.jpg,,,,,,,,,, +毛叶蛇葡萄,Ampelopsis mollifolia,灌阳县普查队,450327151125049LY,20151125,广西壮族自治区,374,灌丛,路旁,黄棕壤,一般野生,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00402762.jpg,,,,,,,,,, +毛叶蛇葡萄,Ampelopsis mollifolia,T.P.Fang,1375,19330727,山西省,0~1400,,,无花有果,https://image.cvh.ac.cn/files/l/N/106170061.jpg,,,,,,,,,, +,Amphicarpaea edgeworthii,"石硕,祝东立,祝振清",SZ3829,20140809,河北省,1439,水边,,无花无果,https://image.cvh.ac.cn/files/l/PE/02031734.jpg,,,,,,,,,, +,Amphicarpaea edgeworthii,邓云飞等,11685,19970930,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01932150.jpg,,,,,,,,,, +,Amphicarpaea edgeworthii,老铁山采集队,632,20080903,辽宁省,628,灌草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01879791.jpg,,,,,,,,,, +,Amphicarpaea ferruginea,周仕顺,1502,20030720,云南省,2500,次生林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651133.jpg,,,,,,,,,, +,Amphicarpaea ferruginea,H.Ohashi et al.,771422,19770916,,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01523818.jpg,,,,,,,,,, +甘肃桃,Amygdalus kansuensis,周世良,4804,20040825,甘肃省,1610,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01857552.jpg,,,,,,,,,, +甘肃桃,Amygdalus kansuensis,58年秦岭队,20059,19580922,陕西省,,阳处 水旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01461666.jpg,,,,,,,,,, +光核桃,Amygdalus mira,唐宇丹等,BS031,20061006,西藏自治区,3478,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02061997.jpg,,,,,,,,,, +光核桃,Amygdalus mira,D.E.Boufford et al.,27877,19970905,四川省,2750,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01857557.jpg,,,,,,,,,, +桃,Amygdalus persica,"张志耘,谢磊,张强",2015-058,20150501,广西壮族自治区,200,valley road side,,无花有果,https://image.cvh.ac.cn/files/l/PE/02062354.jpg,,,,,,,,,, +桃,Amygdalus persica,巴山采集队,3809,20100801,四川省,1500,溪边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059427.jpg,,,,,,,,,, +桃,Amygdalus persica,孔冬梅,k0042,20140413,山西省,991,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039476.jpg,,,,,,,,,, +西康扁桃,Amygdalus tangutica,"石硕,祝东立,祝振清",SZ3798,20140808,河北省,1222,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/02031159.jpg,,,,,,,,,, +西康扁桃,Amygdalus tangutica,李馨,70095,19570417,四川省,2560,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01608957.jpg,,,,,,,,,, +西康扁桃,Amygdalus tangutica,Fu Kun Fsun,1896,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01608949.jpg,,,,,,,,,, +尖叶香青,Anaphalis acutifolia,FLPH Tibet Expedition,12-1778,20120919,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967493.jpg,,,,,,,,,, +尖叶香青,Anaphalis acutifolia,白龙江考察队,96,19980716,甘肃省,1550,山地 灌丛 山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537113.jpg,,,,,,,,,, +巴塘香青,Anaphalis batangensis,郎楷永 李良千等,2477,19830729,四川省,4200,云杉 林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029943.jpg,,,,,,,,,, +二色香青,Anaphalis bicolor var. bicolor,中甸队,2236,19620924,云南省,2800,山坡林间草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0038386.jpg,,,,,,,,,, +二色香青,Anaphalis bicolor var. bicolor,蔡希陶,56267,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0038404.jpg,,,,,,,,,, +青海二色香青,Anaphalis bicolor var. kokonorica,何廷农,327,19650817,青海省,3700,阳坡岩石穴中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830543.jpg,,,,,,,,,, +青海二色香青,Anaphalis bicolor var. kokonorica,青甘调查队,1448,19590909,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830502.jpg,,,,,,,,,, +粘毛香青,Anaphalis bulleyana,"H.Li,S.X.Yang,R.Li etc.",748,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110934.jpg,,,,,,,,,, +粘毛香青,Anaphalis bulleyana,赵佐成,4992,19931028,四川省,2100,阳坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909842.jpg,,,,,,,,,, +蛛毛香青,Anaphalis busua,PE西藏队,PE6201,20170910,西藏自治区,2488~2994,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334071.jpg,,,,,,,,,, +蛛毛香青,Anaphalis busua,赵佐成,4517,19931024,四川省,2100,阳处山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018006.jpg,,,,,,,,,, +茧衣香青,Anaphalis chlamydophylla,青甘队,1659,19590807,青海省,,缓坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01576855.jpg,,,,,,,,,, +茧衣香青,Anaphalis chlamydophylla,,22601,19590808,云南省,3650,草丛边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01576854.jpg,,,,,,,,,, +茧衣香青,Anaphalis chlamydophylla,王启无,66445,19350900,西藏自治区,3300,"Bare rock,Extremely dry",,有花有果,https://image.cvh.ac.cn/files/l/PE/00492889.jpg,,,,,,,,,, +中甸香青,Anaphalis chungtienensis,"汤宗孝,田效文,张正华",579,19810714,云南省,3450,云杉冷杉林下路旁阴湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01830494.jpg,,,,,,,,,, +中甸香青,Anaphalis chungtienensis,方震东,方K-4937,20020704,云南,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008806.jpg,,,,,,,,,, +旋叶香青,Anaphalis contorta,PE西藏队,PE6673,20170914,西藏自治区,3934,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334130.jpg,,,,,,,,,, +伞房香青,Anaphalis corymbifera,武素功,8739,0,云南省,4200,山坡垫壮草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0038590.jpg,,,,,,,,,, +,Anaphalis corymbifera,"Forrest, George",29869,,,,,,,https://image.cvh.ac.cn/files/l/E/E00455901.jpg,,,,,,,,,, +苍山香青,Anaphalis delavayi,陈又生,8088,20080818,云南省,3900,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113373.jpg,,,,,,,,,, +,Anaphalis deserti,FLPH Tibet Expedition,12-2185,,西藏自治区,4750,山谷灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967525.jpg,,,,,,,,,, +雅致香青,Anaphalis elegans,FLPH Tibet Expedition,12-2160,,西藏自治区,3350,阴坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967520.jpg,,,,,,,,,, +雅致香青,Anaphalis elegans,D.E. Boufford et al.,43198,20130823,四川省,3275,"Forest of mostly dwarf Quercus with scattered remnant trees.On steep,moist,rocky slope.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01911368.jpg,,,,,,,,,, +雅致香青,Anaphalis elegans,"田效文,张正华,汤宗孝",580,19810714,云南省,3450,云杉、冷杉林下路旁阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01576868.jpg,,,,,,,,,, +淡黄香青,Anaphalis flavescens,陈又生,8114,20080825,陕西省,3200,Grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113592.jpg,,,,,,,,,, +淡黄香青,Anaphalis flavescens,"张建文,杨斌,陈洪梁",Zh593,20130831,青海省,4646,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043269.jpg,,,,,,,,,, +淡黄香青,Anaphalis flavescens,赵佐成,4221,19931021,四川省,1950,阳处山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023999.jpg,,,,,,,,,, +纤枝香青糙叶,Anaphalis gracilis var. aspera,"陈又生,王泽欢",9186,20090730,四川省,3100,山坡草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01949868.jpg,,,,,,,,,, +糙叶纤枝香青,Anaphalis gracilis var. aspera,税玉民,114,19920920,云南省,0,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0039927.jpg,,,,,,,,,, +铃铃香青,Anaphalis hancockii,孔冬梅,k0456,20140725,山西省,2157,灌丛下 草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064586.jpg,,,,,,,,,, +铃铃香青,Anaphalis hancockii,"石硕,祝东立,祝振清",SZ3887,20140811,河北省,2201,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033875.jpg,,,,,,,,,, +铃铃香青,Anaphalis hancockii,"D.E.Boufflord, K. Fujikawa,S. L. Kelley et al.",39171,20070806,四川省,3760,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021991.jpg,,,,,,,,,, +乳白香青,Anaphalis lactea,"川西队,关克俭,王文采等",612,19630717,四川省,3500,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091630.jpg,,,,,,,,,, +乳白香青,Anaphalis lactea,"陈又生,袁慊,徐连升等",140963,20140727,内蒙古自治区,,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033938.jpg,,,,,,,,,, +乳白香青,Anaphalis lactea,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0006,20130728,青海省,2350,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992766.jpg,,,,,,,,,, +德钦香青,Anaphalis larium,FLPH Tibet Expedition,12-1378,20120916,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967467.jpg,,,,,,,,,, +德钦香青,Anaphalis larium,北京所横断山队,3643,19810824,云南省,4150~4400,高山 灌丛草甸常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190558.jpg,,,,,,,,,, +德钦香青,Anaphalis larium,C.W.Wang,64954,1935/05/,云南,3000,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0034728.jpg,,,,,,,,,, +宽翅香青,Anaphalis latialata,汤宗孝,1196,19830628,四川省,4000,高山草甸草场,,有花有果,https://image.cvh.ac.cn/files/l/PE/01830516.jpg,,,,,,,,,, +宽翅香青,Anaphalis latialata,,93,19810907,云南省,2550,山地灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01577082.jpg,,,,,,,,,, +丽江香青,Anaphalis likiangensis,陈又生,8070,20080815,云南省,3400,山顶草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113376.jpg,,,,,,,,,, +丽江香青,Anaphalis likiangensis,联大,21398,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0038743.jpg,,,,,,,,,, +线叶珠光香青,Anaphalis margaritacea var. japonica,巴山采集队,3173,20100730,四川省,1811,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059322.jpg,,,,,,,,,, +线叶珠光香青,Anaphalis margaritacea var. japonica,巴山采集队,4333,20100804,陕西省,700,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059321.jpg,,,,,,,,,, +珠光香青,Anaphalis margaritacea var. margaritacea,冯国楣,10571,1945,云南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0038751.jpg,,,,,,,,,, +珠光香青,Anaphalis margaritacea var. margaritacea,汪发缵,942,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0038854.jpg,,,,,,,,,, +木里香青,Anaphalis muliensis,"陈又生,毕延超",11-083,20110729,四川省,3823,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053226.jpg,,,,,,,,,, +木里香青,Anaphalis muliensis,青藏队,1785,19810705,云南省,2820,金沙江支流北岸 山坡榛灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190575.jpg,,,,,,,,,, +尼泊尔香青,Anaphalis nepalensis var. nepalensis,俞德浚,8801,19370710,云南省,3900,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0039199.jpg,,,,,,,,,, +尼泊尔香青,Anaphalis nepalensis var. nepalensis,蔡希陶,58176,0,云南省 ,,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0039228.jpg,,,,,,,,,, +锐叶香青,Anaphalis oxyphylla,Gaoligong Shan Biodiversity Survey,31323,20060821,云南省,3980,Growing on rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671567.jpg,,,,,,,,,, +锐叶香青,Anaphalis oxyphylla,青藏队,1032,19740914,西藏自治区,3900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502291.jpg,,,,,,,,,, +厚衣香青,Anaphalis pachylaena,Gaoligong Shan Biodiversity Survey,31260,20060820,云南省,3930,Growing on rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671568.jpg,,,,,,,,,, +厚衣香青,Anaphalis pachylaena,陈又生,7172,20070726,四川省,4000,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01649702.jpg,,,,,,,,,, +污毛香青,Anaphalis pannosa,D.E.Boufford & B.Bartholomew et al.,42019,20090808,云南省,4280~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021997.jpg,,,,,,,,,, +污毛香青,Anaphalis pannosa,FLPH Tibet Expedition,12-1431,20120917,西藏自治区,4500~4700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967465.jpg,,,,,,,,,, +褶苞香青,Anaphalis plicata,杨竞生,89-028,19891018,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0516585.jpg,,,,,,,,,, +褶苞香青,Anaphalis plicata,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201755,20200815,西藏,3788,荒坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1508974.jpg,,,,,,,,,, +紫苞香青,Anaphalis porphyrolepis,FLPH Tibet Expedition,12-1756,20120919,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967491.jpg,,,,,,,,,, +紫苞香青,Anaphalis porphyrolepis,夏光成等,725,19600810,西藏,4000,高山岭草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219857.jpg,,,,,,,,,, +红指香青,Anaphalis rhododactyla,"李渤生,程树志",1318,19821011,西藏自治区,4070,高山草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01577367.jpg,,,,,,,,,, +红指香青,Anaphalis rhododactyla,,1076,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01577364.jpg,,,,,,,,,, +蜀西香青,Anaphalis souliei,D.E.Boufford et al.,34521,20050810,四川省,4060~4150,second pass from seda at Omuko Shan,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021972.jpg,,,,,,,,,, +蜀西香青,Anaphalis souliei,杨竞生,91-723,19910712,西藏自治区,4450,郭庆日处寺草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01577532.jpg,,,,,,,,,, +灰叶香青,Anaphalis spodiophylla,FLPH Tibet Expedition,12-0519,20120912,西藏自治区,3559,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01976152.jpg,,,,,,,,,, +灰叶香青,Anaphalis spodiophylla,,110(6),19810915,云南省,3140,疏林草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01577536.jpg,,,,,,,,,, +狭苞香青,Anaphalis stenocephala,PE西藏队,PE5292,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890375.jpg,,,,,,,,,, +狭苞香青,Anaphalis stenocephala,C.W.Wang,69320,19360900,云南省,3000,Mount.slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502539.jpg,,,,,,,,,, +狭苞香青,Anaphalis stenocephala,青藏队,11813,19830707,四川省,3300,山坡杜鹃林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0039633.jpg,,,,,,,,,, +,Anaphalis suffruticosa,四川省林业厅勘察设计院森林勘察第二大队,57-0336,,四川省,2580,山坡下部2/3,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502559.jpg,,,,,,,,,, +亚灌木香青,Anaphalis suffruticosa,中甸队,1236,19620818,云南省,1810,草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502557.jpg,,,,,,,,,, +亚灌木香青,Anaphalis suffruticosa,C.W.Wang,69320,19360900,云南省 ,3000,Mount.slope,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00480013.jpg,,,,,,,,,, +萌条香青,Anaphalis surculosa,"张永田,郞楷永",30,19650627,四川省,2350,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502606.jpg,,,,,,,,,, +萌条香青,Anaphalis surculosa,,样96(4),19810908,云南省,3320,砍伐迹地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502605.jpg,,,,,,,,,, +四川香青,Anaphalis szechuanensis,松潘小组,1466,19590904,四川省,3000,河谷杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830510.jpg,,,,,,,,,, +四川香青,Anaphalis szechuanensis,许炳强等,XiaNh-07zx-0,20101008,西藏自治区,0~3240,沙滩地,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0765370.jpg,,,,,,,,,, +西藏香青,Anaphalis tibetica,D.E. Boufford et al.,29691,20000725,西藏自治区,3950,"Moist,open slope along N side of Rawu Lake.On rock ledge",,有花无果,https://image.cvh.ac.cn/files/l/PE/01919886.jpg,,,,,,,,,, +西藏香青,Anaphalis tibetica,,99,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803755.jpg,,,,,,,,,, +三脉香青,Anaphalis triplinervis,"X.H.Jin,Y.S.Chen, H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q",DLJ-ET2873,20080715,云南省,3200,alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016191.jpg,,,,,,,,,, +三脉香青,Anaphalis triplinervis,陈又生等,353,20111111,西藏自治区,2718,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997440.jpg,,,,,,,,,, +黄绿香青,Anaphalis virens,PE西藏队,PE6547,20170912,西藏自治区,3980,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334108.jpg,,,,,,,,,, +黄绿香青,Anaphalis virens,G. Forrest,22445,19220915,云南省,4267,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068007.jpg,,,,,,,,,, +帚枝香青,Anaphalis virgata,CMTTE,CMTTE195,20120801,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0106173.jpg,,,,,,,,,, +帚枝香青,Anaphalis virgata,魏来、何毅,BNUXZ2016377,20160723,西藏,4000,山坡灌草丛,,,https://image.cvh.ac.cn/files/l/BNU/0028154.jpg,,,,,,,,,, +帚枝香青,Anaphalis virgata,邢吉庆,22018,19730808,新疆维吾尔自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH013645.jpg,,,,,,,,,, +无茎绿香青,Anaphalis viridis var. acaulis,Harry Smith,11647,19340829,四川省,4600~4800,in lapidosis graniticis,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502689.jpg,,,,,,,,,, +,Anaphalis viridis var. acaulis,K. A. H. Smith,11647 11647,1934/8/29,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00000832.jpg,,,,,,,,,, +木根香青,Anaphalis xylorhiza,PE西藏队,PE6857,20170917,西藏自治区,3971,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334011.jpg,,,,,,,,,, +木根香青,Anaphalis xylorhiza,"D.E.Boufford,J.H.Chen,S.L.Kelley etc.",30646,20040715,四川省,3600~3850,"Open meadows with seepages surrounded by forest,moist areas along small streamlets within and outside of forest,drier areas in upper part of meadow.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01901904.jpg,,,,,,,,,, +云南香青,Anaphalis yunnanensis,王金亭,3786,19610827,西藏自治区,4550,山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/02047432.jpg,,,,,,,,,, +云南香青,Anaphalis yunnanensis,陈又生,7046,20070713,四川省,3650,Thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01649418.jpg,,,,,,,,,, +云南香青,Anaphalis yunnanensis,青藏队,14983,19831015,云南省,2500,山坡 云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190624.jpg,,,,,,,,,, +狼紫草,Anchusa ovata,刘成、亚吉东、迟建才,15CS10142,20150611,新疆,1118,草场,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1395935.jpg,,,,,,,,,, +狼紫草,Anchusa ovata,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1437-3069,20190809,甘肃,2723,山坡林地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1476827.jpg,,,,,,,,,, +黄花直瓣苣苔,Ancylostemon gamosepalus,梁荣花,lrh006,20060912,四川省,2000,阴湿石壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053535.jpg,,,,,,,,,, +黄花直瓣苣苔,Ancylostemon gamosepalus,汉源队,427,19780611,四川,2250,潮湿岩石上,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM717900004.jpg,,,,,,,,,, +兜蕊兰,Androcorys ophioglossoides,"Zhu, Chen, Xu,Wang",1354,19990630,陕西省,3000~3400,Rhododendron forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866811.jpg,,,,,,,,,, +兜蕊兰,Androcorys ophioglossoides,Ho Ting Nung et al.,801,19930723,青海省,3980,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644845.jpg,,,,,,,,,, +剑唇兜蕊兰,Androcorys pugioniformis,秦岭队,10388,19580707,陕西省,,草地 阴处 岩石旁 路旁 潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911430.jpg,,,,,,,,,, +剑唇兜蕊兰,Androcorys pugioniformis,Luo Yi-bo,853,20020730,四川省,3450,石堆中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867309.jpg,,,,,,,,,, +剑唇兜蕊兰,Androcorys pugioniformis,藏东南考察队,SET-ET 52,20090812,云南省,4330,alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866816.jpg,,,,,,,,,, +蜀藏兜蕊兰,Androcorys spiralis,PE-西藏队,1640,20100820,西藏自治区,4610~4690,草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866875.jpg,,,,,,,,,, +蜀藏兜蕊兰,Androcorys spiralis,刘尚武,217,19650725,青海省,4800,山坡潮湿草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803411.jpg,,,,,,,,,, +西藏须芒草,Andropogon munroi,西南综考队接壤分队,733,19650912,四川省,2400,山坡与地层较厚处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246638.jpg,,,,,,,,,, +西藏须芒草,Andropogon munroi,青藏队,7707,19820628,西藏自治区,1700,?边山坡草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246462.jpg,,,,,,,,,, +西藏须芒草,Andropogon munroi,刘艳春等,248,20080927,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221322.jpg,,,,,,,,,, +腺序点地梅,Androsace adenocephala,PE西藏考察队,7123,20180610,西藏自治区,4281,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333321.jpg,,,,,,,,,, +腺序点地梅,Androsace adenocephala,青藏队,3606,1975.5.2,西藏省,3740,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014421.jpg,,,,,,,,,, +帕米尔点地梅,Androsace akbaitalensis,空,80,空,新疆省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014632.jpg,,,,,,,,,, +,Androsace akbaitalensis,s.coll.,8278,19580909,新疆维吾尔自治区,2500,英扎梯河谷,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0256607.jpg,,,,,,,,,, +,Androsace akbaitalensis,,8278,1958/9/9,新疆维吾尔族自治区,2500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0256607.jpg,,,,,,,,,, +扎多点地梅,Androsace alaschanica var. zadoensis,刘尚武,10,19650606,青海省,4400,山坡 石崖上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496312.jpg,,,,,,,,,, +花叶点地梅,Androsace alchemilloides,George Forrest,5642,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01502468.jpg,,,,,,,,,, +花叶点地梅,Androsace alchemilloides,George Forrest,2466,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01502469.jpg,,,,,,,,,, +腋花点地梅,Androsace axillaris,"傅德志,陈淑荣,邵毅贞等",1708,20140425,四川省,1120~1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021117.jpg,,,,,,,,,, +腋花点地梅,Androsace axillaris,"洪德元,潘开玉等",H97080,19970524,云南省,2780,"limestone, mountain summit thickets.",,有花有果,https://image.cvh.ac.cn/files/l/PE/01909423.jpg,,,,,,,,,, +黄花昌都点地梅,Androsace bisulca var. aurata,Tang et Xia.,399,19820715,四川省,3900,东南郊草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909040.jpg,,,,,,,,,, +黄花昌都点地梅,Androsace bisulca var. aurata,青藏补点组,750691,19750725,西藏自治区,4120,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/88493.jpg,,,,,,,,,, +黄花昌都点地梅,Androsace bisulca var. aurata,Y C Yang & R F Huang,1750,19941005,四川,3805,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/761519.jpg,,,,,,,,,, +昌都点地梅(原变种),Androsace bisulca var. bisulca,张挺,刘成,马梁梁,付小刚,20CS19558,20200709,四川,4367,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1504968.jpg,,,,,,,,,, +玉门点地梅,Androsace brachystegia,"D.E.Boufford,L.Y.Chen,J.L.Dong etc.",42515,20100801,四川省,4300~4550,small meadow-like areas interpersed with dwarf Rhododendron and Potentilla furticosa thickets bare gravelly areas and shale slopes on scree slope and crevices of shale ledges,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110445.jpg,,,,,,,,,, +玉门点地梅,Androsace brachystegia,张新时等,天山-614,19860813,新疆维吾尔自治区,2430,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01805932.jpg,,,,,,,,,, +玉门点地梅,Androsace brachystegia,,5484,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589005.jpg,,,,,,,,,, +景天点地梅,Androsace bulleyana,"D.E.Bouffoud,L.Y.Chen,X.H.Li etc.",42070,20100719,云南省,2725~2750,extensive open area over coarse sand of alluvial fan under shrubs and on bank of small stream,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048251.jpg,,,,,,,,,, +景天点地梅,Androsace bulleyana,康藏考察队,10-2349,20100819,西藏自治区,2738~2780,山谷山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966869.jpg,,,,,,,,,, +景天点地梅,Androsace bulleyana,236任务组,40,19720702,四川省,2600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803094.jpg,,,,,,,,,, +弯花点地梅,Androsace cernuiflora,吴玉虎,32906,20050708,青海省,0~4900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0213581.jpg,,,,,,,,,, +弯花点地梅,Androsace cernuiflora,陈晓澄、肖洒,7776,20150804,青海,4096,裸岩灌丛、草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00022511.jpg,,,,,,,,,, +睫毛点地梅,Androsace ciliifolia,"李渤生,程树志",6127,19830804,西藏自治区,4700,高山灌生草甸山顶多见,,无花有果,https://image.cvh.ac.cn/files/l/PE/02081188.jpg,,,,,,,,,, +睫毛点地梅,Androsace ciliifolia,,5437,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647360.jpg,,,,,,,,,, +江孜点地梅,Androsace cuttingii,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1301,20130816,西藏自治区,4400,荒漠,,无花无果,https://image.cvh.ac.cn/files/l/PE/02000634.jpg,,,,,,,,,, +江孜点地梅,Androsace cuttingii,,5416,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01502487.jpg,,,,,,,,,, +滇西北点地梅,Androsace delavayi,C.W.Wang,69600,19350900,云南省,3400,mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01907919.jpg,,,,,,,,,, +滇西北点地梅,Androsace delavayi,四川省植被调查队,2933,19730708,四川省,4700,流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/01907910.jpg,,,,,,,,,, +裂叶点地梅,Androsace dissecta,T.T Yu,19070,19380614,云南省,3500,under shady rocks,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909246.jpg,,,,,,,,,, +裂叶点地梅,Androsace dissecta,T.T Yu,5679,19370524,四川省,3100,under wooods or upon shadt rocks,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909237.jpg,,,,,,,,,, +裂叶点地梅,Androsace dissecta,George Forrest,23048,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00087508.jpg,,,,,,,,,, +高葶点地梅,Androsace elatior,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",41926,20090804,西藏自治区,3900,logged Picea forest now dominated by Betula slopes and meadows in organically rich dark soil and with deep moss layer in many places in accumulated soil on surface of large boulder,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037089.jpg,,,,,,,,,, +高葶点地梅,Androsace elatior,杨竞生,91-342,19910617,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909257.jpg,,,,,,,,,, +,Androsace erecta,PE西藏队,PE5114,20170825,西藏自治区,3788,灌层下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330720.jpg,,,,,,,,,, +,Androsace erecta,"川西队,关克俭,王文采等",关王6,19630713,四川省,2550,山坡田边多石草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092368.jpg,,,,,,,,,, +大花点地梅,Androsace euryantha,Forrest,28526,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0041980.jpg,,,,,,,,,, +大花点地梅,Androsace euryantha,,614,19790802,四川,5200,,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM715700049.jpg,,,,,,,,,, +,Androsace flavescens,"李渤生,郑度,张百明",10254,19870626,新疆维吾尔自治区,3500~3800,高山草原 湿地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345085.jpg,,,,,,,,,, +,Androsace flavescens,N.M.Przewalski,s.n.,18850624,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00027730.jpg,,,,,,,,,, +南疆点地梅,Androsace flavescens,新疆综考队,73,1959.5.1,新疆省,2900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014517.jpg,,,,,,,,,, +,Androsace forrestiana,PE西藏考察队,7781,20180624,西藏自治区,3105,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333963.jpg,,,,,,,,,, +滇藏点地梅,Androsace forrestiana,杨竞生,91-288,1991.6.1,四川省,3800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014525.jpg,,,,,,,,,, +滇藏点地梅,Androsace forrestiana,青藏队,3087,19810829,云南省,3900,高山矮杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1247770.jpg,,,,,,,,,, +披散点地梅,Androsace gagnepainiana,"Zhang Yonghong,Chen Guangfu,Chen Linyang,Gong Qian",KC-0048,20130511,云南省,3500~4100,In shaded rock crevices at woodland margins,,,https://image.cvh.ac.cn/files/l/KUN/1274864.jpg,,,,,,,,,, +,Androsace gagnepainiana,"Handel-Mazzetti, H.",9459,10-Jul-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00024857.jpg,,,,,,,,,, +,Androsace geraniifolia,PE西藏考察队,7180,20180611,西藏自治区,2758,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333246.jpg,,,,,,,,,, +掌叶点地梅,Androsace geraniifolia,S.Akiyama etc.,20100245,20010523,,2580,on shady mossy moist slope under deciduous forest dominated by Alnus nepalensis,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220041.jpg,,,,,,,,,, +球形点地梅,Androsace globifera,青藏队植被组,12847,19760625,西藏自治区,4400,山坡 Caragana 灌丛中及灌丛旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496326.jpg,,,,,,,,,, +球形点地梅,Androsace globifera,"李渤生,郑度,张百平",10727,19870720,新疆维吾尔自治区,3100,山地 荒漠 草原 阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345092.jpg,,,,,,,,,, +,Androsace gmelinii var. geophila,青海铁卜加牧草试验站,72-170,19700000,青海省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909492.jpg,,,,,,,,,, +短葶小点地梅,Androsace gmelinii var. geophila,白龙江考察队,1763,19990603,甘肃省,2950,山谷 草垫,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560386.jpg,,,,,,,,,, +圆叶点地梅,Androsace graceae,Feng,6435,19400809,云南省,3900~4200,岩坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052175.jpg,,,,,,,,,, +圆叶点地梅,Androsace graceae,青藏队横断山队,5845,19810830,四川省,4600,流石滩石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01493879.jpg,,,,,,,,,, +禾叶点地梅,Androsace graminifolia,PE西藏考察队,7245,20180614,西藏自治区,4163,河谷坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333319.jpg,,,,,,,,,, +莲叶点地梅,Androsace henryi,"朱大海,苏小镔,梁红英",761,20020728,四川省,620,山脚林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115981.jpg,,,,,,,,,, +莲叶点地梅,Androsace henryi,龙茹等,90812007,20090812,湖北省,1460,阴湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989713.jpg,,,,,,,,,, +石莲叶点地梅,Androsace integra,"川西队,关克俭,王文采等",775,19630719,四川省,3600,多石砾草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092228.jpg,,,,,,,,,, +石莲叶点地梅,Androsace integra,青藏队,1421,19810623,云南省,3400,高山松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01493908.jpg,,,,,,,,,, +钻叶点地梅,Androsace lehmannii,H.Ohba etc.,8570628,19850721,Topke Gola,0,on rocky ground,,有花无果,https://image.cvh.ac.cn/files/l/KUN/88867.jpg,,,,,,,,,, +钻叶点地梅,Androsace lehmannii,H.Kanai etc.,720376,19720613,,3900,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/88868.jpg,,,,,,,,,, +钻叶点地梅,Androsace lehmannii,王新光,503,19590625,西藏自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/130237033.jpg,,,,,,,,,, +康定点地梅,Androsace limprichtii,"川西队,关克俭,王文采等",357,19630725,四川省,3900,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092303.jpg,,,,,,,,,, +康定点地梅,Androsace limprichtii,,,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909487.jpg,,,,,,,,,, +西藏点地梅,Androsace mariae,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",41241,20090727,西藏自治区,4400~4500,heavily grazed meadow with scattered dwarf,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037203.jpg,,,,,,,,,, +西藏点地梅,Androsace mariae,"郎楷永,李良千,费勇",1838,19830619,四川省,2450,山坡油松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909055.jpg,,,,,,,,,, +西藏点地梅,Androsace mariae,刘尚武,2760,19890713,青海省,2500,山坡石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01907839.jpg,,,,,,,,,, +大苞点地梅,Androsace maxima,新疆采集队,1459,19780715,新疆维吾尔自治区,4520,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052459.jpg,,,,,,,,,, +大苞点地梅,Androsace maxima,Anonymous,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052118.jpg,,,,,,,,,, +大苞点地梅,Androsace maxima,何叶祺,2841,19590601,内蒙古自治区,2050,沟口滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052116.jpg,,,,,,,,,, +小丛点地梅,Androsace minor,"蒋兴麟,熊济华",35882,19530606,四川省,3900,山林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00087978.jpg,,,,,,,,,, +小丛点地梅,Androsace minor,"李新辉, 杨涛, 温昌润",Lixh30,20170910,四川,4560,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1455524.jpg,,,,,,,,,, +柔软点地梅,Androsace mollis,PE西藏队,PE6561,20170913,西藏自治区,5340,高山甘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330531.jpg,,,,,,,,,, +柔软点地梅,Androsace mollis,李馨,78146,19580721,四川省,4600,山岭草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00087988.jpg,,,,,,,,,, +绢毛点地梅,Androsace nortonii,"倪志诚,次多.次旦,廖世荣",2051,19810907,西藏自治区,4100,高山草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909258.jpg,,,,,,,,,, +新疆点地梅,Androsace olgae,青藏队 吴玉虎,870367,19870703,新疆维吾尔自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/146538.jpg,,,,,,,,,, +新疆点地梅,Androsace olgae,,?,88.7.8,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00029433.jpg,,,,,,,,,, +垫状点地梅,Androsace olgae,刘全儒,ALT.424,20140801,新疆省,4533,荒漠,草本,,https://image.cvh.ac.cn/files/l/BNU/0027535.jpg,,,,,,,,,, +天山点地梅,Androsace ovczinnikovii,新疆综考队,251,1959.6.1,新疆省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014721.jpg,,,,,,,,,, +天山点地梅,Androsace ovczinnikovii,,211,19590610,新疆维吾尔自治区,2500,山地草原,,有花无果,https://image.cvh.ac.cn/files/l/KUN/89039.jpg,,,,,,,,,, +天山点地梅,Androsace ovczinnikovii,PCCZ,T198,19980817,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/183494.jpg,,,,,,,,,, +硬枝点地梅,Androsace rigida,四川省植被调查队,2775,19730627,四川省,4500,落叶松,杜鹃林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01907909.jpg,,,,,,,,,, +硬枝点地梅,Androsace rigida,T.T. Yu,13691,19371011,云南省,3100,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01907905.jpg,,,,,,,,,, +硬枝点地梅,Androsace rigida,张新时等,天山-627,19860816,新疆维吾尔自治区,2740,山坡灌丛草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01805933.jpg,,,,,,,,,, +雪球点地梅,Androsace robusta,PE西藏考察队,7752,20180624,西藏自治区,3611,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332773.jpg,,,,,,,,,, +雪球点地梅,Androsace robusta,,297,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485552.jpg,,,,,,,,,, +,Androsace rockii,"Rock, Joseph F.",9612,1923,,,,,,https://image.cvh.ac.cn/files/l/E/E00024876.jpg,,,,,,,,,, +异叶点地梅,Androsace runcinata,覃海宁等,31911,20000419,广西壮族自治区,1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02008655.jpg,,,,,,,,,, +异叶点地梅,Androsace runcinata,刘林翰,1733,1958.5.2,湖南省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014756.jpg,,,,,,,,,, +异叶点地梅,Androsace runcinata,武全安,7447,1959/4/8,云南省,1600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0273326.jpg,,,,,,,,,, +匍茎点地梅,Androsace sarmentosa,PE西藏考察队,7636,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332907.jpg,,,,,,,,,, +匍茎点地梅,Androsace sarmentosa,,6548,19750815,,3200,alpine meadows,,有花无果,https://image.cvh.ac.cn/files/l/PE/00088053.jpg,,,,,,,,,, +紫花点地梅,Androsace selago,青藏队补点组,750415,19750630,西藏自治区,3600~3800,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00088081.jpg,,,,,,,,,, +紫花点地梅,Androsace selago,青藏队,74-2666,1974-09-,西藏省,4300,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0077275.jpg,,,,,,,,,, +,Androsace septentrionalis var. breviscapa,王忠涛等,44,20070620,新疆维吾尔自治区,1950,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909256.jpg,,,,,,,,,, +短葶北点地梅,Androsace septentrionalis var. breviscapa,王庆瑞,3648,19650819,新疆,1950,山谷阴坡草地,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092346.jpg,,,,,,,,,, +,Androsace septentrionalis var. septentrionalis,"亚吉东, 张桥蓉, 胡枭剑, 阿依丁",17CS16541,20170715,新疆,1471,西伯利亚云杉林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1456486.jpg,,,,,,,,,, +北点地梅,Androsace septentrionalis var. septentrionalis,黎斌、王立青,LB19040,20160714,内蒙古自治区,1371,典型草原,草本,有花有果,https://image.cvh.ac.cn/files/l/XBGH/006072.jpg,,,,,,,,,, +刺叶点地梅,Androsace spinulifera,"川西队,关克俭,王文采等",关王623,19630717,四川省,3500,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092369.jpg,,,,,,,,,, +刺叶点地梅,Androsace spinulifera,,440,19750702,西藏自治区,3280,灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909503.jpg,,,,,,,,,, +鳞叶点地梅,Androsace squarrosula,Ho Ting-nung et al.,1408,19930818,青海省,4010,"River terrace,mostly with almost closed turf.On bare ground",,有花有果,https://image.cvh.ac.cn/files/l/PE/01106083.jpg,,,,,,,,,, +鳞叶点地梅,Androsace squarrosula,生物研究所西藏考察队,3342,19740701,新疆维吾尔自治区,3040,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00170691.jpg,,,,,,,,,, +鳞叶点地梅,Androsace squarrosula,N.M.Przewalski,s.n.,18850427,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00027733.jpg,,,,,,,,,, +糙伏毛点地梅,Androsace strigillosa,PE西藏考察队,7762,20180624,西藏自治区,3611,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333962.jpg,,,,,,,,,, +糙伏毛点地梅,Androsace strigillosa,"Y.Iokawa,T.Miyazaki,K.Yonekura etc.",15042,20030628,,3050~3800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079712.jpg,,,,,,,,,, +绵毛点地梅,Androsace sublanata,"D.E.Boufford,L.Y.Chen,X.H.Li etc.",42149,20100721,云南省,2520~2700,mixed secondary open evergreen forest on rocky slopes with limestone boulders soil clay like sticky on slope at margin of forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043077.jpg,,,,,,,,,, +绵毛点地梅,Androsace sublanata,横断山队植被组,4825,19830803,四川省,3030,谷坡干旱 灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01538157.jpg,,,,,,,,,, +,Androsace tanggulashanensis,青藏队植被组,11680,19760528,西藏自治区,4600~4700,湿地草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061591.jpg,,,,,,,,,, +唐古拉点地梅,Androsace tanggulashanensis,洮河队,3356,19570619,甘肃省,3200,山顶,阳处,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0091536.jpg,,,,,,,,,, +唐古拉点地梅,Androsace tanggulashanensis,张珍万,2307,19630711,青海省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0216826.jpg,,,,,,,,,, +垫状点地梅,Androsace tapete,PE西藏考察队,7041,20180608,西藏自治区,5050,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333360.jpg,,,,,,,,,, +垫状点地梅,Androsace tapete,"川西队,关克俭,王文采等",1162,19630730,四川省,4350,陡坡 流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092227.jpg,,,,,,,,,, +垫状点地梅,Androsace tapete,,14,19640604,青海省,4150,滩地边缘丘陵阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082936.jpg,,,,,,,,,, +点地梅,Androsace umbellata,石雷 林秦文,2011003,20110415,北京市,120,路旁荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112309.jpg,,,,,,,,,, +点地梅,Androsace umbellata,"石硕,张涛",SZ3415,20140502,河北省,358,半阳,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034843.jpg,,,,,,,,,, +点地梅,Androsace umbellata,孔冬梅,k0052,20140413,山西省,1008,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034480.jpg,,,,,,,,,, +粗毛点地梅,Androsace wardii,T.T. Yu,9158,19370725,云南省,4100,mt. on rocka,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909495.jpg,,,,,,,,,, +粗毛点地梅,Androsace wardii,青藏队,4942,19810818,四川省,4300,高山矮杜鹃灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01493919.jpg,,,,,,,,,, +雅江点地梅,Androsace yargongensis,Anonymous,592,19640724,青海省,4700,砾石带,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052153.jpg,,,,,,,,,, +雅江点地梅,Androsace yargongensis,"关克俭,王文采等",1073,19630730,四川省,4300,高山流石滩石上成垫状生长,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052152.jpg,,,,,,,,,, +高原点地梅,Androsace zambalensis,青藏队植被组,5017,19750708,西藏自治区,4800,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061372.jpg,,,,,,,,,, +高原点地梅,Androsace zambalensis,T.T.Yu,10659,19371108,云南省,4000,山坡石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052167.jpg,,,,,,,,,, +察隅点地梅,Androsace zayulensis,西藏综考队,1613,19610711,西藏自治区,4500,多石砾及粗沙之山坡,南向坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496093.jpg,,,,,,,,,, +,Androsace zayulensis,高信芬、涂卫国、何海、乔永康,6697,20030831,西藏,4800,高寒灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189397.jpg,,,,,,,,,, +,Anemoclema glaucifolium,康藏考察队,10-2935,20100828,云南省,1800,金沙江河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966692.jpg,,,,,,,,,, +,Anemoclema glaucifolium,青藏队,14828,19830926,四川省,1800,天河边 灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01063623.jpg,,,,,,,,,, +毛果银莲花,Anemone baicalensis,D.E.Boufford et al.,43645,20140510,四川省,2965,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062511.jpg,,,,,,,,,, +毛果银莲花,Anemone baicalensis,,7739,19360716,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01956585.jpg,,,,,,,,,, +毛果银莲花,Anemone baicalensis,田景全,331,19600806,北京市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01811700.jpg,,,,,,,,,, +卵叶银莲花,Anemone begoniifolia,"税玉民,陈文红,盛家舒等",20311,20020323,云南省,1700,In dense forests on the middle of hills,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980744.jpg,,,,,,,,,, +卵叶银莲花,Anemone begoniifolia,刘正宇,18033,19960429,重庆市,780,阴湿岩壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980740.jpg,,,,,,,,,, +卵叶银莲花,Anemone begoniifolia,罗毅波,502,20010428,贵州省,550,slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956733.jpg,,,,,,,,,, +西南银莲花,Anemone davidii,"董洪进,赵飞",WM-0476,20160518,云南省,1700~1900,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109216.jpg,,,,,,,,,, +西南银莲花,Anemone davidii,甘启良,2775,20080517,湖北省,1300,沟边草坡中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059805.jpg,,,,,,,,,, +西南银莲花,Anemone davidii,徐洪贵,568,19950531,四川省,2800,林阴下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050762.jpg,,,,,,,,,, +滇川银莲花,Anemone delavayi,王金亭,3722,19610804,西藏自治区,4650,阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044648.jpg,,,,,,,,,, +滇川银莲花,Anemone delavayi,罗毅波,232(58),19980702,四川省,3200,under mixed woodland of Quercus and Pinus,,有花无果,https://image.cvh.ac.cn/files/l/PE/01568914.jpg,,,,,,,,,, +滇川银莲花,Anemone delavayi,北京植物所横断山队,135,19810527,云南省,2900~3000,冷杉林带边缘沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494248.jpg,,,,,,,,,, +展毛银莲花 (原变种),Anemone demissa var. demissa,方震东,236,20080627,云南,3400,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008834.jpg,,,,,,,,,, +小银莲花,Anemone exigua,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",235,20130420,四川省,1800~2050,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994349.jpg,,,,,,,,,, +小银莲花,Anemone exigua,张超,148,19810603,云南省,3000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980547.jpg,,,,,,,,,, +鹅掌草,Anemone flaccida,"冯正波,邵慧敏",20070004,20070403,四川省,1500,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980609.jpg,,,,,,,,,, +鹅掌草,Anemone flaccida,"杨亲二,孔宏智",98-182,19980829,云南省,3400,水边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956761.jpg,,,,,,,,,, +鹅掌草,Anemone flaccida,孔宏智,1095,20010511,陕西省,1800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956717.jpg,,,,,,,,,, +,Anemone gortschakowii,青藏队,870048,19870619,新疆维吾尔自治区,3200,砾石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956530.jpg,,,,,,,,,, +,Anemone gortschakowii,G. S. Karelin,1142,1841,,,,,,https://image.cvh.ac.cn/files/l/NY/00579038.jpg,,,,,,,,,, +三出银莲花,Anemone griffithii,PE西藏考察队,7470,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333237.jpg,,,,,,,,,, +三出银莲花,Anemone griffithii,"冯正波,朱大海,李小杰",20070429,20070517,四川省,1800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980737.jpg,,,,,,,,,, +三出银莲花,Anemone griffithii,金佛山考察队,182,19860509,重庆市,1750,阴湿岩壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956533.jpg,,,,,,,,,, +打破碗花花,Anemone hupehensis,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",409,20020816,云南省,2550,山坡次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100133.jpg,,,,,,,,,, +打破碗花花,Anemone hupehensis,"关克俭,王文采",3015,19630906,四川省,2250~2350,山谷灌丛边或林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078816.jpg,,,,,,,,,, +打破碗花花,Anemone hupehensis,巴山采集队,4339,20100804,陕西省,700,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059473.jpg,,,,,,,,,, +叠裂银莲花,Anemone imbricata,陈又生,9498,20090821,西藏自治区,4600,杜鹃灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966707.jpg,,,,,,,,,, +叠裂银莲花,Anemone imbricata,杨亲二,9535,19950910,青海省,3800,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01956583.jpg,,,,,,,,,, +叠裂银莲花,Anemone imbricata,白龙江考察队,1868,19990604,甘肃省,2500,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556434.jpg,,,,,,,,,, +,Anemone multilobulata,,s.n.,19780713,云南省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00383865.jpg,,,,,,,,,, +多裂银莲花,Anemone multilobulata,碧江考察队,1134,19780714,云南,3600,高山草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1203858.jpg,,,,,,,,,, +垂花银莲花,Anemone nutantiflora,刘伦辉等/Liu Lun-huei et al.,s.n.,19780803,云南省,3200,竹林,,有花无果,https://image.cvh.ac.cn/files/l/PE/00026906.jpg,,,,,,,,,, +光叶银莲花,Anemone obtusiloba subsp. leiophylla,青藏队,8484,19820724,云南省,3500~3600,山坡 灌丛 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01063706.jpg,,,,,,,,,, +光叶银莲花,Anemone obtusiloba subsp. leiophylla,青藏队,3862,19740731,西藏自治区,3600,"山坡,水沟边,岩石堆",,有花无果,https://image.cvh.ac.cn/files/l/PE/00383955.jpg,,,,,,,,,, +钝裂银莲花(原亚种),Anemone obtusiloba subsp. obtusiloba,张挺,刘成,马梁梁,付小刚,20CS19559,20200709,四川,4370,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1504967.jpg,,,,,,,,,, +鸡足叶银莲花,Anemone patula var. minor,"陈又生,王泽欢",9168,20090728,四川省,3740,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966662.jpg,,,,,,,,,, +,Anemone polycarpa,,1038,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956450.jpg,,,,,,,,,, +,Anemone polycarpa,"应俊生,洪德元",650846,19650802,西藏自治区,4230,高山草甸山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/00422439.jpg,,,,,,,,,, +多果银莲花,Anemone polycarpa,张挺,刘成,郭永杰等,09CS1377,20090720,云南,3883,,,花标本,https://image.cvh.ac.cn/files/l/KUN/1231430.jpg,,,,,,,,,, +川西银莲花,Anemone prattii,"杨亲二,冯旻",84005,19840321,四川省,1740,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956590.jpg,,,,,,,,,, +川西银莲花,Anemone prattii,杨光明,SCSB-W-1163,20080802,云南,2550,,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231431.jpg,,,,,,,,,, +小花草玉梅,Anemone rivularis var. flore-minore,蒙宁队,1151,19620731,内蒙古自治区,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062819.jpg,,,,,,,,,, +小花草玉梅,Anemone rivularis var. flore-minore,"王忠涛,曲上,徐连升",140487,20140618,河北省,1330,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036569.jpg,,,,,,,,,, +小花草玉梅,Anemone rivularis var. flore-minore,段长虹,dch0318,20140715,山西省,1729,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036415.jpg,,,,,,,,,, +粗壮银莲花,Anemone robusta,青藏队,14473,19830907,四川省,4600,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956609.jpg,,,,,,,,,, +粗壮银莲花,Anemone robusta,,2295,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956584.jpg,,,,,,,,,, +粗壮银莲花,Anemone robusta,"杨亲二,孔宏智",98-273,19980905,云南省,4300,高山灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01956581.jpg,,,,,,,,,, +冻地银莲花,Anemone rupestris subsp. gelida,Harry Smith,3262,19220721,四川省,4800~5000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00423299.jpg,,,,,,,,,, +,Anemone rupestris subsp. gelida,青藏队,吴玉虎,870800,????????,新疆维吾尔自治区,3600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/145341.jpg,,,,,,,,,, +冻地银莲花,Anemone rupestris subsp. gelida,梅里队,24952,19920604,云南省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006001.jpg,,,,,,,,,, +湿地银莲花,Anemone rupestris subsp. rupestris,方震东,58,20050625,云南,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008571.jpg,,,,,,,,,, +岩生银莲花,Anemone rupicola,PE西藏考察队,7323,20180616,西藏自治区,3631,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332904.jpg,,,,,,,,,, +岩生银莲花,Anemone rupicola,周仕顺,6009,20090522,四川省,3100,山坡黄背栎灌丛林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980453.jpg,,,,,,,,,, +糙叶银莲花,Anemone scabriuscula,横断山天然植物园,32,19850422,云南省,3100,冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/259556.jpg,,,,,,,,,, +红萼银莲花,Anemone smithiana,PE西藏考察队,7841,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332806.jpg,,,,,,,,,, +红萼银莲花,Anemone smithiana,Lall Dhwoj,460,19300000,,4570,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00934922.jpg,,,,,,,,,, +微裂银莲花,Anemone subindivisa,青藏队,175,19810530,云南省,2880,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269936.jpg,,,,,,,,,, +微裂银莲花,Anemone subindivisa,T.T.Yu,5636,19370523,四川省,4000,mt.slope moist place,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00423452.jpg,,,,,,,,,, +近羽裂银莲花,Anemone subpinnata,D.E.Boufford et al.,28260,19980704,四川省,3870,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01578524.jpg,,,,,,,,,, +近羽裂银莲花,Anemone subpinnata,张挺,郭永杰,刘成等,10CS2255,20100805,四川,3901,"Rocky, SW-facing bank, 30° slope",,花标本,https://image.cvh.ac.cn/files/l/KUN/1231551.jpg,,,,,,,,,, +复伞银莲花,Anemone tetrasepala,PE西藏考察队,7958,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333333.jpg,,,,,,,,,, +,Anemone tetrasepala,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2794,20090927,西藏,3180,林下草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1231428.jpg,,,,,,,,,, +复伞银莲花,Anemone tetrasepala,C.Y.Chiao,2768,1929/7/13,山东省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0003221.jpg,,,,,,,,,, +大火草,Anemone tomentosa,"川西队,关克俭,王文采等",9,19630713,四川省,2550,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087879.jpg,,,,,,,,,, +大火草,Anemone tomentosa,段长虹,Dch0402,20140720,山西省,1150,农家小院,,有花无果,https://image.cvh.ac.cn/files/l/PE/02030986.jpg,,,,,,,,,, +蓝匙叶银莲花,Anemone trullifolia var. coelestina,龚洵,92-56,19920000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956453.jpg,,,,,,,,,, +蓝匙叶银莲花,Anemone trullifolia var. coelestina,青藏队,12242,19830721,四川省,4000,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01063790.jpg,,,,,,,,,, +野棉花,Anemone vitifolia,PE西藏队,PE6168,20170910,西藏自治区,2488~2994,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309272.jpg,,,,,,,,,, +野棉花,Anemone vitifolia,孔冬梅,k0406,20140724,山西省,1530,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039474.jpg,,,,,,,,,, +野棉花,Anemone vitifolia,"税玉民,陈文红,盛家舒",31593,20021004,云南省,,次生林、水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01980473.jpg,,,,,,,,,, +,Angelica apaensis,PE西藏队,PE5709,20170903,西藏自治区,1683~2900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333621.jpg,,,,,,,,,, +,Angelica apaensis,J.I.Jeon et al.,SI1350,20100810,四川省,3613,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925555.jpg,,,,,,,,,, +,Angelica balangshanensis,F. T. Pu,K. Yao,287,19840907,四川省,3400,山坡灌木林下,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00005248.jpg,,,,,,,,,, +,Angelica kangdingensis,F. T. Pu,K. Yao,450,19840922,四川省,3000,高山栎灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00005590.jpg,,,,,,,,,, +疏叶当归,Angelica laxifoliata,白水江采集队,2336,20060820,甘肃省,1395,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849572.jpg,,,,,,,,,, +疏叶当归,Angelica laxifoliata,傅坤俊,17612,19780726,陕西省,1650,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575451.jpg,,,,,,,,,, +丽江当归,Angelica likiangensis,"周太炎,徐国钧",470,19381002,四川省,,岩面,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616509.jpg,,,,,,,,,, +,Angelica likiangensis,"任宗昕,蒋伟,张明英,骆洋,王雪芹",WH-2012-0568,20120626,云南省,2822,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1335714.jpg,,,,,,,,,, +丽江当归,Angelica likiangensis,和炳光,85-010,,云南省 ,3450,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00005696.jpg,,,,,,,,,, +,Angelica longipedicellata,"Forrest, George",10949,13-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00265237.jpg,,,,,,,,,, +茂汶当归,Angelica maowenensis,李馨,77672,19580612,四川省,2900,沟边林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616513.jpg,,,,,,,,,, +青海当归,Angelica nitida,张寿洲等,874,20130925,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990324.jpg,,,,,,,,,, +青海当归,Angelica nitida,林有润,74-1476,19741020,青海省,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01940009.jpg,,,,,,,,,, +峨眉当归,Angelica omeiensis,川经植,1262,19590716,四川省,2450,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616549.jpg,,,,,,,,,, +峨眉当归,Angelica omeiensis,禹平华,994,19570927,云南省,1950,密林中,潮湿,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0460441.jpg,,,,,,,,,, +隆萼当归,Angelica oncosepala,M.K.Li,723,19391019,云南省,1900,under mixed forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/00616558.jpg,,,,,,,,,, +隆萼当归,Angelica oncosepala,蔡希陶,58281,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0460451.jpg,,,,,,,,,, +牡丹叶当归,Angelica paeoniifolia,陶德定,11320,19760912,西藏自治区,4000,怒江沟边石砾草丛,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00935513.jpg,,,,,,,,,, +羽苞当归,Angelica pinnatiloba,溥发鼎等,197,Oct-83,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172262.jpg,,,,,,,,,, +管鞘当归,Angelica pseudoselinum,生物所,9522,19750731,四川省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0437134.jpg,,,,,,,,,, +管鞘当归,Angelica pseudoselinum,张泽云,周洪富,22848,1957/7/16,四川,2650,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0242694.jpg,,,,,,,,,, +管鞘当归,Angelica pseudoselinum,陈彦生、吴振海、黎斌、郭晓思等,3226,2005/9/13,陕西省,2100,,直立草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0498514.jpg,,,,,,,,,, +,Angelica songpanensis,王文广等,2272,20140715,四川省,1947~2500,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918894.jpg,,,,,,,,,, +松潘当归,Angelica songpanensis,张珂阡,391,19890800,湖北省,1300,林下沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00578835.jpg,,,,,,,,,, +,Angelica ternata,新疆采集队,1793,19780730,新疆维吾尔自治区,3000,山沟水边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616520.jpg,,,,,,,,,, +三小叶当归,Angelica ternata,青海匹练检所,,19750000,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00038713.jpg,,,,,,,,,, +异腺草,Anisadenia pubescens,"Jin XH,Wang LS,Wang Q,Wei R etc.",ST0459,20130718,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02038514.jpg,,,,,,,,,, +异腺草,Anisadenia pubescens,洪德元等,H12006,20120802,西藏自治区,1200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925978.jpg,,,,,,,,,, +异腺草,Anisadenia pubescens,Y.Tsiang,12158,19330000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00965073.jpg,,,,,,,,,, +赛莨菪,Anisodus carniolicoides,J.I.Jeon et al.,SI1269,20100809,四川省,1443,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01917632.jpg,,,,,,,,,, +赛莨菪,Anisodus carniolicoides,青藏队,2567,19810711,云南省,3700,冷杉林,,有花有果,https://image.cvh.ac.cn/files/l/PE/00597759.jpg,,,,,,,,,, +铃铛子,Anisodus luridus,PE西藏考察队,7745,20180624,西藏自治区,3611,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332565.jpg,,,,,,,,,, +山莨菪,Anisodus tanguticus,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0145,20130803,西藏自治区,4275,砾石山坡,,,https://image.cvh.ac.cn/files/l/PE/01993175.jpg,,,,,,,,,, +山莨菪,Anisodus tanguticus,"汤宗孝,柏正强,任文夫",171,19930731,四川省,3300,草甸草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01621607.jpg,,,,,,,,,, +广防风,Anisomeles indica,South Tibet Exp.Team (Jin Xiaohua etc.),STET2088,20100803,西藏自治区,700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328479.jpg,,,,,,,,,, +广防风,Anisomeles indica,王强,W13004,20130503,云南省,1200,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328476.jpg,,,,,,,,,, +广防风,Anisomeles indica,王强,W12006,20120618,海南省,650,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328477.jpg,,,,,,,,,, +红萼齿唇兰,Anoectochilus clarkei,陈伟烈,15066,19800917,西藏自治区,1100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00200056.jpg,,,,,,,,,, +,Antenoron filiforme var. filiforme,"张桥蓉, 余华, 王义",15CS11513,20151006,四川,908,杂木林林缘,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1455589.jpg,,,,,,,,,, +金线草,Antenoron filiforme var. filiforme,黄长春3人,16856,19911015,广西壮族自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI060143.jpg,,,,,,,,,, +金线草,Antenoron filiforme var. filiforme,钟山县普查队,451122170724018LY,20170724,广西,340,阔叶林、沟边、林下、黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0211762.jpg,,,,,,,,,, +,Antenoron filiforme var. kachinum,张挺,刘成,李梅娟,何德明,12CS4654,20120910,云南,2192,林缘,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1303135.jpg,,,,,,,,,, +毛叶红珠七,Antenoron filiforme var. kachinum,胡启明,2017,19580518,江西省,650,溪边林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0121461.jpg,,,,,,,,,, +毛叶红珠七,Antenoron filiforme var. kachinum,黔南队,3561,19590825,贵州省,0,山沟,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0121457.jpg,,,,,,,,,, +,Antenoron filiforme var. neofiliforme,巴山采集队,2888,20100721,四川省,941,草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059450.jpg,,,,,,,,,, +,Antenoron filiforme var. neofiliforme,梁同军,77,20150615,江西省,1500,生于山谷 湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042769.jpg,,,,,,,,,, +筒瓣兰,Anthogonium gracile,"逯永满,张志强",2009156,20090925,云南省,1830,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230343.jpg,,,,,,,,,, +筒瓣兰,Anthogonium gracile,"于胜祥,侯元同,张晓霞等",5455,20110813,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033625.jpg,,,,,,,,,, +,Anthoxanthum clarkei,西藏中草药普查队,4142,19720721,西藏自治区,0,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469365.jpg,,,,,,,,,, +,Anthoxanthum clarkei,北京所横断山队,3737,19810825,云南省,3200~3800,云冷杉林内草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01400599.jpg,,,,,,,,,, +,Anthoxanthum glabrum,石雷 林秦文,2011004,20110415,北京市,120,路边草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112308.jpg,,,,,,,,,, +,Anthoxanthum glabrum,石硕,SZ3485,20140512,河北省,1278,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031948.jpg,,,,,,,,,, +光稃香草,Anthoxanthum glabrum,张志英,17004,19830514,陕西,1945,山坡 阴处 疏密林下,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0439781.jpg,,,,,,,,,, +藏黄花茅,Anthoxanthum hookeri,"尹志坚,王泽欢,陈丽",2096,20090911,云南省,2200,roadsides,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089458.jpg,,,,,,,,,, +藏黄花茅,Anthoxanthum hookeri,中国科学院西南综考队接壤分队,971,19650919,四川省,3200,?生林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929888.jpg,,,,,,,,,, +茅香,Anthoxanthum nitens,"杨帆, 马红媛, 安丰华",SNA0729,20180909,黑龙江,143,无放牧草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483985.jpg,,,,,,,,,, +茅香,Anthoxanthum nitens,张志英,18960,19830514,陕西,1320,路旁 阳处,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0439644.jpg,,,,,,,,,, +茅香,Anthoxanthum nitens,何叶琪,3467,19590629,甘肃,2300,西营河边,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0160171.jpg,,,,,,,,,, +,Anthoxanthum sikkimense,田效文,159(5),19820905,四川省,3700,低山缓坡地带坡向南坡度15度,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487630.jpg,,,,,,,,,, +,Anthoxanthum sikkimense,刘艳春,650,20101205,云南省,2239,on slope,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221451.jpg,,,,,,,,,, +锡金黄花茅,Anthoxanthum sikkimense,李永亮,LiYL1552,20160801,云南,2660,南亚热带中山湿性常绿阔叶林间湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1459281.jpg,,,,,,,,,, +,Anthoxanthum tibeticum,"Ludlow, Frank: Sherriff, George & Taylor, George",5188,9-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00393900.jpg,,,,,,,,,, +刺果峨参,Anthriscus nemorosa,山西队,80,19540704,山西省,,阳坡水旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067384.jpg,,,,,,,,,, +刺果峨参,Anthriscus nemorosa,C.S.Chang et al.,SI1170,20100704,四川省,1281,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925547.jpg,,,,,,,,,, +刺果峨参,Anthriscus nemorosa,"曹子余,程树志,韩家懋",83,20010713,吉林省,800,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01596784.jpg,,,,,,,,,, +峨参,Anthriscus sylvestris,赤峰采集队,2-077,20080727,内蒙古自治区,1366,草甸草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02063433.jpg,,,,,,,,,, +峨参,Anthriscus sylvestris,Fumihiro Konta,35808,20110507,,100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02012394.jpg,,,,,,,,,, +峨参,Anthriscus sylvestris,张志英,64993,19590618,甘肃省,2300,山谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/01942023.jpg,,,,,,,,,, +,Antidesma montana,陈念劬,43418,19320814,云南省 ,1700,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00225303.jpg,,,,,,,,,, +,Antidesma montana,侯宽昭,70616,19330429,海南省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00225304.jpg,,,,,,,,,, +尖果寒原荠,Aphragmus oxycarpus,PE西藏考察队,7069,20180609,西藏自治区,5090,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332657.jpg,,,,,,,,,, +尖果寒原荠,Aphragmus oxycarpus,青藏队,1529,19810822,四川省,4200,高山湖泊岸边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998013.jpg,,,,,,,,,, +寒原荠,Aphragmus tibeticus,王启无,66047,19350800,西藏自治区,3900,"peak,rock side",,有花无果,https://image.cvh.ac.cn/files/l/PE/00775958.jpg,,,,,,,,,, +寒原荠,Aphragmus tibeticus,刘尚武,165,19650706,青海省,4700,河岸边,潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00775944.jpg,,,,,,,,,, +高山无叶兰,Aphyllorchis alpina,李渤生,7152,19830830,西藏自治区,2600,常绿阔叶林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376735.jpg,,,,,,,,,, +大花无叶兰,Aphyllorchis gollani,金效华,8315,20060729,云南省,2771,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825031.jpg,,,,,,,,,, +大花无叶兰,Aphyllorchis gollani,"张永田,郞楷永",4342,19660622,西藏自治区,2400,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00805622.jpg,,,,,,,,,, +肉色土栾儿,Apios carnea,"李渤生,倪志诚,程树志",6855,19830827,西藏自治区,2200,路边灌丛中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074710.jpg,,,,,,,,,, +肉色土栾儿,Apios carnea,"H.Li,S.X.Yang,R.Li etc",26,20020809,云南省,2550,次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01893950.jpg,,,,,,,,,, +肉色土栾儿,Apios carnea,巴山采集队,5403,20110703,四川省,960,干河沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873196.jpg,,,,,,,,,, +,Apios delavayi,罗建等,LuoJian-XZ-0930,20091003,西藏自治区,2723,林缘灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923842.jpg,,,,,,,,,, +,Apios delavayi,任勃,81,20030923,云南省,2500,路边林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01860617.jpg,,,,,,,,,, +,Apios delavayi,汤宗孝,1957,19830915,四川省,1500,山坡灌丛路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01153714.jpg,,,,,,,,,, +,Apios pteridietorum,"应俊生,洪德元",780,19650723,西藏自治区,2080,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00100470.jpg,,,,,,,,,, +旱芹,Apium graveolens,王汉臣,4005,19430724,云南省,,平地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00616921.jpg,,,,,,,,,, +旱芹,Apium graveolens,左景烈,21454,19300403,广东省,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00616919.jpg,,,,,,,,,, +旱芹,Apium graveolens,,490,19450529,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00616916.jpg,,,,,,,,,, +水蔗草,Apluda mutica,"黄建益,梁慧舟",2417,20060326,台湾省,30,On mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089894.jpg,,,,,,,,,, +水蔗草,Apluda mutica,"Peng hua,chen Li,Liu Yanchun",194,20070916,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089499.jpg,,,,,,,,,, +白麻,Apocynum pictum,李安仁,5843,19580624,新疆维吾尔自治区,900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0477146.jpg,,,,,,,,,, +白麻,Apocynum pictum,关克俭,1082,19570627,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0477145.jpg,,,,,,,,,, +罗布麻,Apocynum venetum,"李渤生,郑度,张百平",10115,19870619,新疆维吾尔自治区,2420,河边草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/02084043.jpg,,,,,,,,,, +罗布麻,Apocynum venetum,张志耘等,2015-297,20150607,北京市,90,roadside cult,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064621.jpg,,,,,,,,,, +罗布麻,Apocynum venetum,覃海宁等,19745,20080813,江苏省,0,滩涂地,盐碱地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01952832.jpg,,,,,,,,,, +无距耧斗菜,Aquilegia ecalcarata,"关克俭,王文采",1217,19630802,四川省,3450,山坡林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087650.jpg,,,,,,,,,, +无距耧斗菜,Aquilegia ecalcarata,吴玉虎等,3638,19860726,青海省,2700,林缘、河边、田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050760.jpg,,,,,,,,,, +无距耧斗菜,Aquilegia ecalcarata,"李渤生,程树志,倪志诚",5749,19830724,西藏自治区,3600~3700,Abies林缘灌丛中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042116.jpg,,,,,,,,,, +腺毛耧斗菜,Aquilegia moorcroftiana,青藏队,76-12901,19760630,西藏自治区,3700,岩石山地阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956368.jpg,,,,,,,,,, +直距耧斗菜,Aquilegia rockii,"杨亲二,袁琼",Yangqe1977,20080722,云南省,3300,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032581.jpg,,,,,,,,,, +直距耧斗菜,Aquilegia rockii,周仕顺,6080,20090524,四川省,3200,沟谷箐边草地灌木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980562.jpg,,,,,,,,,, +耧斗菜,Aquilegia viridiflora,石硕,SZ3493,20140512,河北省,1278,崖下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036393.jpg,,,,,,,,,, +耧斗菜,Aquilegia viridiflora,"阳文静,张彩飞",80605009,20080605,内蒙古自治区,1560,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980553.jpg,,,,,,,,,, +耧斗菜,Aquilegia viridiflora,刘冰,53,20080430,辽宁省,310,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980554.jpg,,,,,,,,,, +直鼠耳芥,Arabidopsis stricta,青藏队,870516,19870708,新疆维吾尔自治区,4400,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/146455.jpg,,,,,,,,,, +直鼠耳芥,Arabidopsis stricta,生物研究所西藏考察队,640,19730627,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/37750.jpg,,,,,,,,,, +直鼠耳芥,Arabidopsis stricta,郭本兆、王为义,20592,19770628,四川省,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/65326.jpg,,,,,,,,,, +鼠耳芥,Arabidopsis thaliana,谭策铭,94011,19940322,江西省,70,路边田埂,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998169.jpg,,,,,,,,,, +鼠耳芥,Arabidopsis thaliana,金效华,6929,20050421,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995606.jpg,,,,,,,,,, +鼠耳芥,Arabidopsis thaliana,J.Zelazny,,20090411,,,sandy wasteland,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898470.jpg,,,,,,,,,, +贺兰山南芥,Arabis alaschanica,,7304,19740705,四川省,4200,石灰岩上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00915504.jpg,,,,,,,,,, +贺兰山南芥,Arabis alaschanica,T.P.Wang,7148,19370707,甘肃省,2900,on rocks,,无花无果,https://image.cvh.ac.cn/files/l/PE/00915503.jpg,,,,,,,,,, +贺兰山南芥,Arabis alaschanica,宁夏药检所,s.n.,19730618,宁夏回族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00915502.jpg,,,,,,,,,, +尖果南芥,Arabis attenuata,李渤生,5923,19830727,西藏自治区,4250,高山 灌丛 草甸中时见 近湖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468075.jpg,,,,,,,,,, +硬毛南芥,Arabis hirsuta,PE西藏考察队,8065,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331882.jpg,,,,,,,,,, +硬毛南芥,Arabis hirsuta,山西队,533,19540719,山西省,2270,山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067564.jpg,,,,,,,,,, +硬毛南芥,Arabis hirsuta,秦岭队,10147,19580624,陕西省,1440,半阳处 草地 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995701.jpg,,,,,,,,,, +,Arabis paniculata var. parviflora,北京植物所横断山队,54,19810526,云南省,1950,河谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01109295.jpg,,,,,,,,,, +,Arabis paniculata var. parviflora,青藏队,12113,19830720,四川省,3200,石灰岩 山坡 石缝中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01109291.jpg,,,,,,,,,, +垂果南芥,Arabis pendula,PE西藏队,PE5677,20170903,西藏自治区,1683~2901,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02309661.jpg,,,,,,,,,, +垂果南芥,Arabis pendula,黄河队,2646,19550912,山西省,1400,路旁川地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081640.jpg,,,,,,,,,, +窄翅南芥,Arabis pterosperma,青藏队,73-143,19730612,西藏自治区,2820,河边,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00816133.jpg,,,,,,,,,, +,Arabis pterosperma,徐波,陈光富,陈林杨,董金龙等,SunH-07ZX-0291,20080720,西藏,3599,干暖河谷,山坡灌丛,一二年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300734.jpg,,,,,,,,,, +西藏南芥,Arabis tibetica,青藏队植被组,13233,19760712,西藏自治区,3950,干山坡,草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/00816135.jpg,,,,,,,,,, +西藏南芥,Arabis tibetica,周太炎等,650256,19650510,新疆维吾尔自治区,1200,山坡,岩石缝,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0495288.jpg,,,,,,,,,, +芹叶龙眼独活,Aralia apioides,王启无,63870,19350600,云南省,3500,ravine,,有花无果,https://image.cvh.ac.cn/files/l/PE/01152737.jpg,,,,,,,,,, +芹叶龙眼独活,Aralia apioides,川经凉,5960,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00919046.jpg,,,,,,,,,, +虎刺葱木,Aralia armata,北京队,896318,19890908,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01991601.jpg,,,,,,,,,, +虎刺葱木,Aralia armata,王印政等,4722,19981024,云南省,1350,山地山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01802282.jpg,,,,,,,,,, +虎刺葱木,Aralia armata,谭策铭,971618,19971020,福建省,350,山谷林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01636030.jpg,,,,,,,,,, +浓紫龙眼独活,Aralia atropurpurea,"张永田,郞楷永",617,19650713,西藏自治区,2900,山坡 密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01537810.jpg,,,,,,,,,, +浓紫龙眼独活,Aralia atropurpurea,青藏队,7597,19820625,云南省,3200,山坡Tsusa林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01129612.jpg,,,,,,,,,, +浓紫龙眼独活,Aralia atropurpurea,T.T.Yü,14050,19370820,四川省,2600,maragin of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00919837.jpg,,,,,,,,,, +葱木,Aralia chinensis,覃海宁等,2558,19981110,广西壮族自治区,900,山地,山坡,石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991603.jpg,,,,,,,,,, +葱木,Aralia chinensis,谭策铭,92208,19921018,江西省,200,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01879731.jpg,,,,,,,,,, +葱木,Aralia chinensis,巴山采集队,5544,20110711,四川省,1520,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01872412.jpg,,,,,,,,,, +龙眼独活,Aralia fargesii,Li H. et al.,542,20020822,云南省,2570,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090084.jpg,,,,,,,,,, +龙眼独活,Aralia fargesii,白龙江考察队,141,19980717,甘肃省,2600,山地 山坡 密林 疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01560861.jpg,,,,,,,,,, +龙眼独活,Aralia fargesii,川经阿(59)字,5178,19590712,四川省,3000~3500,居山路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01152731.jpg,,,,,,,,,, +小叶葱木,Aralia foliolosa,"Gregory M.Plunkett,with P.P.Lowry,J.Wen,and Z.L.Ne",1988,20041124,云南省,785,growing on steep slope adjacent to road in open weedy area at the edge of the forest,,无花无果,https://image.cvh.ac.cn/files/l/PE/01058426.jpg,,,,,,,,,, +小叶葱木,Aralia foliolosa,"李渤生,程树志",2587,19830119,西藏自治区,930,半常绿雨林带次生林中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00919860.jpg,,,,,,,,,, +,Aralia franchetii,Feng,4051,19400520,云南省,2800~3000,沟边杂林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00919929.jpg,,,,,,,,,, +,Aralia franchetii,陈少卿,16870,19581023,广西壮族自治区,,山地山顶密林少见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00919919.jpg,,,,,,,,,, +,Aralia franchetii,浙江植物资源普查队,29552,19590902,浙江省,1300,山坡路六什木林,,无花无果,https://image.cvh.ac.cn/files/l/PE/00919918.jpg,,,,,,,,,, +,Aralia gigantea,俞德浚,16326,19380617,云南省,2100,among forest,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0445597.jpg,,,,,,,,,, +,Aralia gigantea,青藏被点组,751736,19750828,西藏自治区,2600,林缘,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0445585.jpg,,,,,,,,,, +,Aralia kingdon-wardii,"李渤生,程树志",2948,19830312,西藏自治区,1500,常绿阔叶林中偶见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00940001.jpg,,,,,,,,,, +,Aralia leschenaultii,,8908,19600505,西藏自治区,3100,黄杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00919991.jpg,,,,,,,,,, +,Aralia leschenaultii,,2897,19080922,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00919989.jpg,,,,,,,,,, +,Aralia leschenaultii,姜恕,905,19650911,四川省,2900,沟下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00919988.jpg,,,,,,,,,, +,Aralia parasitica,植物研究所昆明工作站,23909,19591005,云南省,2600,松林中石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00940015.jpg,,,,,,,,,, +西藏土当归,Aralia tibetana,PE西藏队,PE6366,20170911,西藏自治区,3120,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330179.jpg,,,,,,,,,, +西藏土当归,Aralia tibetana,"黄治平,罗正远,蒋卓然",1854,19300808,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00940096.jpg,,,,,,,,,, +油杉寄生,Arceuthobium chinense,青藏队,74-4620,19740908,西藏自治区,3500,山坡高山松林内树上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00890941.jpg,,,,,,,,,, +油杉寄生,Arceuthobium chinense,P.C.Tsoong K.Z.Kuang,17,19430413,云南省,1900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00890937.jpg,,,,,,,,,, +油杉寄生,Arceuthobium chinense,"姜恕,金存礼等",1470,19590701,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00890934.jpg,,,,,,,,,, +圆柏寄生,Arceuthobium oxycedri,青藏队,11254,19830619,四川省,2300,山坡 松栎林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062731.jpg,,,,,,,,,, +圆柏寄生,Arceuthobium oxycedri,北京所横断山队,2683,19810805,云南省,3100,寄生于云南松树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00890949.jpg,,,,,,,,,, +圆柏寄生,Arceuthobium oxycedri,,41,19730612,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00890947.jpg,,,,,,,,,, +高山松寄生,Arceuthobium pini,北京所横断山队,2683,19810805,云南省,3100,寄生于云南松树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538640.jpg,,,,,,,,,, +高山松寄生,Arceuthobium pini,生态室高原组,10584,19800620,西藏自治区,,高山松树皮上着生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491328.jpg,,,,,,,,,, +高山松寄生,Arceuthobium pini,青藏队,11903,19830709,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062958.jpg,,,,,,,,,, +短茎古当归,Archangelica brevicaulis,郭柯等,天山-222,19860801,新疆维吾尔自治区,2990,冰碛坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01805960.jpg,,,,,,,,,, +短茎古当归,Archangelica brevicaulis,M.G.Pimenov et al.,313,19870713,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01499587.jpg,,,,,,,,,, +单性滨藜,Archiatriplex nanpinensis,K.T.Fu,2166,19371021,四川省,2100,On road bank,Herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00024030.jpg,,,,,,,,,, +,Archiatriplex nanpinensis,G. L. Chu,80040,1980/9/30,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00036865.jpg,,,,,,,,,, +,Archidendron clypearia,"张志耘,谢磊,张强",2015-175,20150505,广西壮族自治区,280~300,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064928.jpg,,,,,,,,,, +猴耳环,Archidendron clypearia,南植地,,,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0160766.jpg,,,,,,,,,, +猴耳环,Archidendron clypearia,华南综考队,520,19650713,福建省,227,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0160773.jpg,,,,,,,,,, +牛蒡,Arctium lappa,刘淼等,H30213,20050716,河南省,1300,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235226.jpg,,,,,,,,,, +牛蒡,Arctium lappa,北师大,971120,19980818,北京市,1200,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235127.jpg,,,,,,,,,, +牛蒡,Arctium lappa,何叶祺,4276,19590724,甘肃省,2100,田边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115508.jpg,,,,,,,,,, +北极果,Arctous alpinus,Luo Yi-bo,808,20020722,四川省,3100,林下华钙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02106096.jpg,,,,,,,,,, +北极果,Arctous alpinus,"张新时,郭柯",天山-404,19860804,新疆维吾尔自治区,2480,疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02097932.jpg,,,,,,,,,, +北极果,Arctous alpinus,"Hong De Yuan, W.H.Sauer, S.Gerbert et al",34102,19860819,吉林省,2030,S exposed partly moss and lichen rich alpine associations above the birch forest lava naterial and brown soils partly with part layers.,,无花有果,https://image.cvh.ac.cn/files/l/PE/00195123.jpg,,,,,,,,,, +小叶当年枯,Arctous microphyllus,"高连明,刘杰",GLM-081068,20080531,云南省,4020,杜鹃林下岩石上,,,https://image.cvh.ac.cn/files/l/KUN/1273189.jpg,,,,,,,,,, +,Arctous microphyllus,T. T. Yu,12325,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00114665.jpg,,,,,,,,,, +红北极果,Arctous ruber,Kao & Wu,111619,19740619,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055480.jpg,,,,,,,,,, +红北极果,Arctous ruber,河西队,247,19670823,甘肃省,3000~3400,山顶草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01855843.jpg,,,,,,,,,, +条叶弓翅芹,Arcuatopterus linearifolius,刘慎谔,22013,19461221,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616956.jpg,,,,,,,,,, +条叶弓翅芹,Arcuatopterus linearifolius,潘泽惠,等,1006,19861030,四川省,2600,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00009959.jpg,,,,,,,,,, +弓翅芹,Arcuatopterus sikkimensis,潘泽惠,等,84-36,19840909,云南省,2600,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00009949.jpg,,,,,,,,,, +唐松叶弓翅芹,Arcuatopterus thalictrioideus,M.G.Pimenov et al.,498,19980930,云南省,1840,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616957.jpg,,,,,,,,,, +唐松叶弓翅芹,Arcuatopterus thalictrioideus,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13990,20161019,四川,2323,石质山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452745.jpg,,,,,,,,,, +唐松叶弓翅芹,Arcuatopterus thalictrioideus,姚淦,315b,19821020,四川省,2750,河谷杂木林中,草丛中,干旱河谷边,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00009944.jpg,,,,,,,,,, +,Ardisia crenata f. hortensis,陈伟烈,14575,19800901,西藏自治区,1750,林下灌木中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01908186.jpg,,,,,,,,,, +,Ardisia crenata f. hortensis,,,19360606,浙江省,0,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00072058.jpg,,,,,,,,,, +,Ardisia crenata f. hortensis,张珂阡,7,19970929,湖北,,山坡林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00602942.jpg,,,,,,,,,, +,Ardisia garrettii,中苏云南联合考察团,9545,19560000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00060725.jpg,,,,,,,,,, +,Ardisia garrettii,梁畴芬、吴德邻,31951,,广西壮族自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0024737.jpg,,,,,,,,,, +,Ardisia thyrsiflora,韦毅刚,底定1,20060420,广西壮族自治区,0,山地,疏林,少见,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0644442.jpg,,,,,,,,,, +,Ardisia thyrsiflora,覃海宁,3121,19980421,云南省,0,山地、山谷,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0715512.jpg,,,,,,,,,, +,Ardisia waitakii,王洪,7427,20041201,云南省,570,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01492762.jpg,,,,,,,,,, +,Ardisia waitakii,叶华谷,7213,20020626,广东省,0~400,山地、山谷,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0244846.jpg,,,,,,,,,, +安多无心菜,Arenaria amdoensis,陶德定,10830,19760805,西藏自治区,4900~5000,高山河滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510330.jpg,,,,,,,,,, +安多无心菜,Arenaria amdoensis,青甘队,596,19590705,青海省,4170,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0219471.jpg,,,,,,,,,, +黄毛无心菜,Arenaria auricoma,生态室植被组,15547,19800916,西藏自治区,3100,林下常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934421.jpg,,,,,,,,,, +黄毛无心菜,Arenaria auricoma,杨竟生,8574,19760815,云南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510341.jpg,,,,,,,,,, +黄毛无心菜,Arenaria auricoma,徐朗然,等,1197,1986/7/14,四川省 ,3900,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0470781.jpg,,,,,,,,,, +,Arenaria barbata var. barbata,和鸿昌,21013,19390714,云南省,0,水边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510369.jpg,,,,,,,,,, +,Arenaria barbata var. barbata,俞德浚,7689,,四川省,3100,石崖上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510372.jpg,,,,,,,,,, +硬毛无心菜,Arenaria barbata var. hirsutissima,青藏队植被组,9480,19760805,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268440.jpg,,,,,,,,,, +硬毛无心菜,Arenaria barbata var. hirsutissima,滇西北金沙江队,2144,19620918,云南省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551211.jpg,,,,,,,,,, +硬毛无心菜,Arenaria barbata var. hirsutissima,T.T.Yu,7688,19370813,四川省,3000,on rocks cliff,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551207.jpg,,,,,,,,,, +八宿雪灵芝,Arenaria baxoiensis,D.E.Boufford et al.,29717,20000727,西藏自治区,4480~4650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579794.jpg,,,,,,,,,, +,Arenaria baxoiensis,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0282,20080719,西藏,4505,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238324.jpg,,,,,,,,,, +,Arenaria blinkworthii,蔡希陶,58017,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510417.jpg,,,,,,,,,, +,Arenaria blinkworthii,冯国楣,6642,19400814,云南省,3800~3900,草坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510413.jpg,,,,,,,,,, +,Arenaria blinkworthii,青藏队,10513,19820918,西藏自治区,3450,山坡云杉林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510343.jpg,,,,,,,,,, +短瓣雪灵芝,Arenaria brevipetala,PE西藏队,PE5353,20170828,西藏自治区,4019,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309470.jpg,,,,,,,,,, +雪灵芝,Arenaria brevipetala,李 馨,77973,19580629,四川省,4700,山脊 草坡及山坡扎石堆中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934181.jpg,,,,,,,,,, +短瓣雪灵芝,Arenaria brevipetala,杨永昌,1083b,19650630,青海省,4300,岩石处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551213.jpg,,,,,,,,,, +藓状雪灵芝,Arenaria bryophylla,PE西藏考察队,7274,20180615,西藏自治区,4458,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332743.jpg,,,,,,,,,, +藓状雪灵芝,Arenaria bryophylla,郭柯,K-154,19900727,青海省,5110,冲积扇,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060114.jpg,,,,,,,,,, +藓状雪灵芝,Arenaria bryophylla,泛喜马拉雅植物志巴基斯坦采集队,FPH-0707,20120624,,3800~4010,"Forest(Picea,Abies,Pinus),Alpine meadow lake",,有花无果,https://image.cvh.ac.cn/files/l/PE/02004830.jpg,,,,,,,,,, +毛叶老牛筋,Arenaria capillaris,PE西藏队,PE5144,20170826,西藏自治区,4346,岩壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309293.jpg,,,,,,,,,, +毛叶老牛筋,Arenaria capillaris,,13782,19430921,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01624889.jpg,,,,,,,,,, +毛叶老牛筋,Arenaria capillaris,蒙宁队,1161,19620806,内蒙古自治区,1240,山地 阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01533916.jpg,,,,,,,,,, +昌都无心菜,Arenaria chamdoensis,高生所藏药队,1119,19720728,青海省,4500~4700,高山碎石带,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551336.jpg,,,,,,,,,, +昌都无心菜,Arenaria chamdoensis,西藏考察队,1377,19730810,西藏自治区,4800,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/86335.jpg,,,,,,,,,, +缘毛无心菜,Arenaria ciliolata,青藏队补点队,751535,19750825,西藏自治区,4500~4600,山顶草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551338.jpg,,,,,,,,,, +缘毛无心菜,Arenaria ciliolata,"Stainton,Sykes etc.",4407,19540914,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510585.jpg,,,,,,,,,, +柔软无心菜,Arenaria debilis,李渤生,6353,19830809,西藏自治区,4200,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268526.jpg,,,,,,,,,, +柔软无心菜,Arenaria debilis,H.T.Tsai,58467,19340910,云南省,3200,alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551379.jpg,,,,,,,,,, +大理无心菜,Arenaria delavayi,王启无,68360,19350800,云南省,3600,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551391.jpg,,,,,,,,,, +大理无心菜,Arenaria delavayi,曲桂齡,3548,19360000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551389.jpg,,,,,,,,,, +密生福禄草,Arenaria densissima,PE西藏考察队,7627,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332483.jpg,,,,,,,,,, +密生福禄草,Arenaria densissima,T.T.Yu,9308,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551393.jpg,,,,,,,,,, +滇蜀无心菜,Arenaria dimorphitricha,刘照光,397,1971-8 1,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0019609.jpg,,,,,,,,,, +滇蜀无心菜,Arenaria dimorphitricha,方震东、李磊、谢爱芳、海仙,LDHF-514,20090826,云南省,3135,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000794.jpg,,,,,,,,,, +察龙无心菜,Arenaria dsharaensis,四川省植被调查队,2920,19730708,四川省,4700,流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510636.jpg,,,,,,,,,, +山居雪灵芝,Arenaria edgeworthiana,PE西藏队,PE5509,20170831,西藏自治区,4460,沙砾坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309464.jpg,,,,,,,,,, +,Arenaria edgeworthiana,陈家辉,庄会富,刘德团,边巴扎西,YangYP-Q-0135,20080901,西藏,4653,草地,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1238338.jpg,,,,,,,,,, +真齿无心菜,Arenaria euodonta,北京所横断山队,2901,19810810,云南省,3900~4100,高山流石滩时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01268531.jpg,,,,,,,,,, +真齿无心菜,Arenaria euodonta,,7406,19740711,四川省,4700,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551425.jpg,,,,,,,,,, +狐茅状雪灵芝,Arenaria festucoides,横断山队植被组,4956,19830810,四川省,4000,(亚)高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377503.jpg,,,,,,,,,, +狐茅状雪灵芝,Arenaria festucoides,青藏队,76-8441,19760714,西藏自治区,4300,山坡砾石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551450.jpg,,,,,,,,,, +狐茅状雪灵芝,Arenaria festucoides,"李安仁,朱家楠",5809,19580623,新疆维吾尔自治区,2400,山地阴处林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551449.jpg,,,,,,,,,, +细柄无心菜,Arenaria filipes,李渤生,Y0326,19781103,云南省,1900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268532.jpg,,,,,,,,,, +细柄无心菜,Arenaria filipes,T.T.Yu,7637,19370807,四川省,,林边石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551452.jpg,,,,,,,,,, +细柄无心菜,Arenaria filipes,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191457,20190923,云南,3710,亚热带针阔混交林,草地上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486465.jpg,,,,,,,,,, +遂瓣无心菜,Arenaria fimbriata,马成功等,270,19810722,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01533757.jpg,,,,,,,,,, +遂瓣无心菜,Arenaria fimbriata,T.T.Yu,6927,19370706,四川省,4000,under shady rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551460.jpg,,,,,,,,,, +西南无心菜,Arenaria forrestii,李渤生,7337,19830903,西藏自治区,4400~4600,高山岩石内多见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01268533.jpg,,,,,,,,,, +西南无心菜,Arenaria forrestii,G.Forrest,6561,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551514.jpg,,,,,,,,,, +玉龙山无心菜,Arenaria fridericae,西藏中草药普查队,3867,19720726,西藏自治区,4400,灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268534.jpg,,,,,,,,,, +玉龙山无心菜,Arenaria fridericae,T.T.Yu,12659,19370806,云南省,3500,rocky hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551528.jpg,,,,,,,,,, +,Arenaria fridericae,罗建,汪书丽,LiuJQ-08XZ-148,20080802,西藏,4500,高山灌丛,草本,,https://image.cvh.ac.cn/files/l/KUN/1238343.jpg,,,,,,,,,, +小腺无心菜,Arenaria glanduligera,PE西藏队,PE5947,20170905,西藏自治区,4780,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333659.jpg,,,,,,,,,, +小腺无心菜,Arenaria glanduligera,O.Polunin etc.,5372,19520821,,0,open stony slopes,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510775.jpg,,,,,,,,,, +海子山老牛筋,Arenaria haitzeshanensis,青藏科考队,12477,19760725,西藏自治区,3700~3900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551545.jpg,,,,,,,,,, +海子山老牛筋,Arenaria haitzeshanensis,崔友文,4948,19510724,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551543.jpg,,,,,,,,,, +不显无心菜,Arenaria inconspicua,王启无,68500,19350800,云南省,3600,Grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551549.jpg,,,,,,,,,, +不显无心菜,Arenaria inconspicua,王启无,65780,19350800,西藏自治区,3200,Border of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551547.jpg,,,,,,,,,, +无饰无心菜,Arenaria inornata,T.T.Yu,9286,19370729,云南省,4150,rocky hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551559.jpg,,,,,,,,,, +,Arenaria inornata,蔡杰,郭永杰,吴之坤,赵永亮,11CS2958,20111018,云南,4010,高山流石滩,匍匐草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1301204.jpg,,,,,,,,,, +无饰无心菜,Arenaria inornata,联大,3849,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0137337.jpg,,,,,,,,,, +紫蕊无心菜,Arenaria ionandra var. ionandra,赵致光,30444,19390725,云南省,0,山顶,砂坝,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510793.jpg,,,,,,,,,, +紫蕊无心菜,Arenaria ionandra var. ionandra,Joseph F.Rock,24777,19320000,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510802.jpg,,,,,,,,,, +紫蕊无心菜,Arenaria ionandra var. ionandra,青藏队,5560,19810829,四川省,4600,山坡流石滩流水处,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510803.jpg,,,,,,,,,, +黑毛无心菜,Arenaria ionandra var. melanotricha,GEORGE FORREST.,30796,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551561.jpg,,,,,,,,,, +,Arenaria ionandra var. melanotricha,"Forrest, George",6509,10-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00313708.jpg,,,,,,,,,, +瘦叶雪灵芝,Arenaria ischnophylla,青藏队补点队,751406,19750819,西藏自治区,4700~4750,山顶草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551591.jpg,,,,,,,,,, +瘦叶雪灵芝,Arenaria ischnophylla,蒋兴麟,36637,19530819,四川省,4200,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551575.jpg,,,,,,,,,, +甘肃雪灵芝,Arenaria kansuensis,汤宗孝,310,19820711,四川省,4300,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604895.jpg,,,,,,,,,, +甘肃雪灵芝,Arenaria kansuensis,汤宗孝,625,19810715,云南省,4550,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01604893.jpg,,,,,,,,,, +澜沧雪灵芝,Arenaria lancangensis,北京所横断山队,3612,19810824,云南省,4200~4400,高山冰碛砾石上偶见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01377499.jpg,,,,,,,,,, +澜沧雪灵芝,Arenaria lancangensis,"关克俭,王文采",558b,19630730,四川省,4400,石缝,,有花有果,https://image.cvh.ac.cn/files/l/PE/01040505.jpg,,,,,,,,,, +毛萼无心菜,Arenaria leucasteria,王清泉,20279,1979-06-,四川省,3900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0147262.jpg,,,,,,,,,, +毛萼无心菜,Arenaria leucasteria,余岩、尹涛,2021953,20200714,四川,4345,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02021953.jpg,,,,,,,,,, +古临无心菜,Arenaria littledalei,西藏中草药普查队,4463,19720822,西藏自治区,4500,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00048122.jpg,,,,,,,,,, +长梗无心菜,Arenaria longipes,T.T.Yu,7743,19370816,四川省,3500,on rocks cliff,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551827.jpg,,,,,,,,,, +长梗无心菜,Arenaria longipes,,,18640000,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/087047096.jpg,,,,,,,,,, +长刚毛无心菜,Arenaria longiseta,碧江队,1779,19780803,云南省,3700,山脊草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510907.jpg,,,,,,,,,, +棱长柱无心菜,Arenaria longistyla var. eugonophylla,T.T.Yu,9120,19370725,云南省,4100,mt on rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551849.jpg,,,,,,,,,, +棱长柱无心菜,Arenaria longistyla var. eugonophylla,T.T.Yu,12933,19370828,四川省,2900,mt.slope open situation,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551848.jpg,,,,,,,,,, +侧长柱无心菜,Arenaria longistyla var. pleurogynoides,G.Forrest,11148,19130900,云南省,4000,limestone cliffs and limestone screes,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551857.jpg,,,,,,,,,, +侧长柱无心菜,Arenaria longistyla var. pleurogynoides,联大,21339,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510923.jpg,,,,,,,,,, +黑蕊无心菜,Arenaria melanandra,北京所横断山队,3310,19810818,云南省,4200~4300,高山灌丛草甸中流石滩也有,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268507.jpg,,,,,,,,,, +黑蕊无心菜,Arenaria melanandra,生态室高原组,15648,19800917,西藏自治区,4450,高山,,有花有果,https://image.cvh.ac.cn/files/l/PE/01268506.jpg,,,,,,,,,, +黑蕊无心菜,Arenaria melanandra,P.Licent S.J.,4693,19180817,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551883.jpg,,,,,,,,,, +女娄无心菜,Arenaria melandryiformis,生态室高原组,15624,19800917,西藏自治区,4100,林下草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268504.jpg,,,,,,,,,, +女娄无心菜,Arenaria melandryiformis,横断山队植被组,5013,19830813,四川省,4170,路边无草皮处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268501.jpg,,,,,,,,,, +桃色无心菜,Arenaria melandryoides,罗建等,LuoJian-ML031,20090926,西藏自治区,4948,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898985.jpg,,,,,,,,,, +,Arenaria melandryoides,罗建,汪书丽,任德智,LiuJQ-09XZ-ML031,20090926,西藏,4948,高山草甸,垫状草本,,https://image.cvh.ac.cn/files/l/KUN/1238351.jpg,,,,,,,,,, +桃色无心菜,Arenaria melandryoides,中甸队,1812,19620901,云南省,4300~4800,冰川河谷,石缝中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0510966.jpg,,,,,,,,,, +,Arenaria membranisepala,"张永洪,王晓雄,李国栋",SunH-07ZX-2239,20081005,云南,3867,高山流石滩,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1301207.jpg,,,,,,,,,, +膜萼无心菜,Arenaria membranisepala,海仙、刘景欣、李红、肖茂荣,HB2007-540,20071006,云南省,3720,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 004656.jpg,,,,,,,,,, +小星无心菜,Arenaria microstella,,351,19790707,四川省,4500,山坡,草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1223008.jpg,,,,,,,,,, +微无心菜,Arenaria minima,T.T.Yu,13134,19370902,四川省,4200,Upon shady rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/00024085.jpg,,,,,,,,,, +微无心菜,Arenaria minima,刘正宇,182373,20080425,重庆市,1400,山地林缘岩石上,小草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0042816.jpg,,,,,,,,,, +念珠无心菜,Arenaria monilifera,西藏中草药普查队,3867,19720726,西藏自治区,4400,灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551889.jpg,,,,,,,,,, +念珠无心菜,Arenaria monilifera,,312,19790903,四川省,3100,生于地坡地间,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1223010.jpg,,,,,,,,,, +单子无心菜,Arenaria monosperma,西藏中草药普查队,1019,19720804,西藏自治区,4500,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551896.jpg,,,,,,,,,, +单子无心菜,Arenaria monosperma,陈晓澄等,6332,20140809,西藏,3216,灌木林阴坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023987.jpg,,,,,,,,,, +单头无心菜,Arenaria napuligera var. monocephala,J.M.Delavay,,18850911,云南省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1206540.jpg,,,,,,,,,, +单头无心菜,Arenaria napuligera var. monocephala,Delavay,87,,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0511009.jpg,,,,,,,,,, +变黑无心菜,Arenaria nigricans,北京所横断山队,2030,19810727,云南省,3300~3700,冷杉林内亚高山草甸中常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268511.jpg,,,,,,,,,, +变黑无心菜,Arenaria nigricans,Harry Smith,3258,19220721,四川省,4700~4800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551911.jpg,,,,,,,,,, +大雪山无心菜,Arenaria nivalomontana,"李渤生,程树志等",6082,19830804,西藏自治区,4700~4800,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934420.jpg,,,,,,,,,, +大雪山无心菜,Arenaria nivalomontana,T.T.Yu,17125,19380731,云南省,2900,on rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551916.jpg,,,,,,,,,, +大雪山无心菜,Arenaria nivalomontana,Harry Smith,3457,19220809,四川省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551914.jpg,,,,,,,,,, +圆叶无心菜,Arenaria orbiculata,PE西藏考察队,7105,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332731.jpg,,,,,,,,,, +圆叶无心菜,Arenaria orbiculata,泛喜马拉雅植物志巴基斯坦采集队,FPH-0696,20120624,,3800~4010,"Forest(Picea,Abies,Pinus),Alpine meadow lake",,有花无果,https://image.cvh.ac.cn/files/l/PE/02004827.jpg,,,,,,,,,, +圆叶无心菜,Arenaria orbiculata,780工程,1024,19781213,云南省,1200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268512.jpg,,,,,,,,,, +山生福禄草,Arenaria oreophila,G.Forrest,28792,19300000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551947.jpg,,,,,,,,,, +山生福禄草,Arenaria oreophila,Harry Smith,12313,19340921,四川省,4400,in alpinetis,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551932.jpg,,,,,,,,,, +山生福禄草,Arenaria oreophila,,305,19640709,青海省,4500,山顶草上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551919.jpg,,,,,,,,,, +须花无心菜,Arenaria pogonantha,T.T.Yu,8822,19370711,云南省,3900,grassy land,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551953.jpg,,,,,,,,,, +须花无心菜,Arenaria pogonantha,,1786,19760629,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551948.jpg,,,,,,,,,, +多子无心菜,Arenaria polysperma,北京所横断山队,2254,19810729,云南省,4100~4400,高山流石坡及草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934419.jpg,,,,,,,,,, +多子无心菜,Arenaria polysperma,,946,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00219102.jpg,,,,,,,,,, +团状福禄草,Arenaria polytrichoides,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-2145,20130825,西藏自治区,4870,砾石草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992343.jpg,,,,,,,,,, +团状福禄草,Arenaria polytrichoides,秦仁昌,1124,19560805,新疆维吾尔自治区,,山顶潮湿处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01187838.jpg,,,,,,,,,, +福禄草,Arenaria przewalskii,D.E.Boufford et al.,33521,20050726,四川省,4560~4875,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579622.jpg,,,,,,,,,, +福禄草,Arenaria przewalskii,Ho Ting-nung et al.,886,19930809,青海省,4400,South side of pass,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574029.jpg,,,,,,,,,, +福禄草,Arenaria przewalskii,T.P.Wang,5856,19360820,甘肃省,3800,on weedy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574023.jpg,,,,,,,,,, +,Arenaria pseudostellaria,D.E.Boufford et al.,38463,20070728,四川省,4125,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873807.jpg,,,,,,,,,, +垫状雪灵芝,Arenaria pulvinata,陶德定,10466,19760604,西藏自治区,4900,高山雪线下 草甸让的岩石缝,,无花无果,https://image.cvh.ac.cn/files/l/PE/01187842.jpg,,,,,,,,,, +普兰无心菜,Arenaria puranensis,青藏队,76-8427,19760714,西藏自治区,,山坡砾石堆湿润处,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935110.jpg,,,,,,,,,, +四齿无心菜,Arenaria quadridentat,孙学刚等,2680,20010726,甘肃省,2050,山坡沟谷水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801086.jpg,,,,,,,,,, +四齿无心菜,Arenaria quadridentat,杨光辉,58816,19580716,重庆市,2700,岩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574058.jpg,,,,,,,,,, +四齿无心菜,Arenaria quadridentat,Harry Smith,3851,19220720,四川省,4100~4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574057.jpg,,,,,,,,,, +嫩枝无心菜,Arenaria ramellata,"张永田,郞楷永",2542,19650903,西藏自治区,5450,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574068.jpg,,,,,,,,,, +嫩枝无心菜,Arenaria ramellata,刘振书,1512,19340911,四川省,3850,upon the rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574060.jpg,,,,,,,,,, +缩减无心菜,Arenaria reducta,王启无,69446,19350900,云南省,3500,Mountain slope under grass,,有花无果,https://image.cvh.ac.cn/files/l/PE/01187837.jpg,,,,,,,,,, +缩减无心菜,Arenaria reducta,王启无,65869,19350800,西藏自治区,3500,"Sandy slope,grassy",,有花无果,https://image.cvh.ac.cn/files/l/PE/00574077.jpg,,,,,,,,,, +红花无心菜,Arenaria rhodantha,青藏队补点队,751525,19750825,西藏自治区,4600~4700,山顶裸石岩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574080.jpg,,,,,,,,,, +,Arenaria rhodantha,罗建,汪书丽,LiuJQ-11XZ-235,20110922,西藏,4243,温带高山灌丛,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1238364.jpg,,,,,,,,,, +青藏雪灵芝,Arenaria roborowskii,,25,19640609,青海省,3850,山坡、阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083148.jpg,,,,,,,,,, +青藏雪灵芝,Arenaria roborowskii,吴征镒等,75-836,19750716,西藏自治区,5020,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01187839.jpg,,,,,,,,,, +青藏雪灵芝,Arenaria roborowskii,伍典汉,6646,19740725,四川省,4700,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574085.jpg,,,,,,,,,, +紫红无心菜,Arenaria rockii,中甸队,1886,19620907,云南省,4350,石灰石砾山坡低草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01187846.jpg,,,,,,,,,, +紫红无心菜,Arenaria rockii,郭先林、郑宏一,2041380,20200722,四川,4617,,,有花有果,https://image.cvh.ac.cn/files/l/SZ/02041380.jpg,,,,,,,,,, +粉花无心菜,Arenaria roseiflora,王启无,64864,19350700,云南省,3000,Border of woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/01187836.jpg,,,,,,,,,, +粉花无心菜,Arenaria roseiflora,George Forrest,30521,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574111.jpg,,,,,,,,,, +漆姑无心菜,Arenaria saginoides,青藏队,6577,19750804,西藏自治区,5100,河边沙土地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574985.jpg,,,,,,,,,, +漆姑无心菜,Arenaria saginoides,"郭本兆,王为义",11895,19750808,青海省,4000,山深湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574979.jpg,,,,,,,,,, +无心菜,Arenaria serpyllifolia,PE西藏考察队,7602,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332745.jpg,,,,,,,,,, +无心菜,Arenaria serpyllifolia,"董洪进,王泽欢,尹志坚",WM-0258,20160428,云南省,1100~1400,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090637.jpg,,,,,,,,,, +无心菜,Arenaria serpyllifolia,川黔队,351,19560529,重庆市,780,山脚下 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083546.jpg,,,,,,,,,, +刚毛无心菜,Arenaria setifera,北京所横断山队,2187,19810728,云南省,4100~4500,高山岩石及流石坡常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934417.jpg,,,,,,,,,, +刚毛无心菜,Arenaria setifera,"李渤生,程树志,倪志诚",5840,19830726,西藏自治区,4300~4800,高山冰碛坡时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934415.jpg,,,,,,,,,, +粉花雪灵芝,Arenaria shannanensis,北京所横断山队,3652,19810824,云南省,4150~4400,高山流石滩,冰碛石堆,灌丛草甸中常见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01377502.jpg,,,,,,,,,, +,Arenaria shannanensis,陈家辉,韩希,王东超,王广艳,杨大松,李资磊,张春林,陶云芬,YangYP-Q-4249,20110907,西藏,4690,草地,匍匐草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1238388.jpg,,,,,,,,,, +,Arenaria shannanensis,郭本兆 王为义,22435,19770813,西藏自治区,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/67216.jpg,,,,,,,,,, +大花福禄草,Arenaria smithiana,G.Forrest,20533,19210700,西藏自治区,4333~4667,On screes limy pasture and ledges,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574342.jpg,,,,,,,,,, +大花福禄草,Arenaria smithiana,G.Forrest,28680,19300000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574339.jpg,,,,,,,,,, +,Arenaria smithiana,苏涛,黄永江,杨青松,王力,ZhouZK11249,20110914,西藏,4627,流石滩,直立草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1238393.jpg,,,,,,,,,, +匙叶无心菜,Arenaria spathulifolia,北京所横断山队,2209,19810728,云南省,4100~4400,高山 溪口石滩 高山草甸时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00934411.jpg,,,,,,,,,, +匙叶无心菜,Arenaria spathulifolia,T.T.Yu,14649,19371027,四川省,4000,石坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01040446.jpg,,,,,,,,,, +藏西无心菜,Arenaria stracheyi,陶德定等,10770,19760805,西藏自治区,4700~4800,公路边、沙滩河漫滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574352.jpg,,,,,,,,,, +,Arenaria stracheyi,杨永平,段元文,边巴扎西,YangYP-Q-1017,20080908,西藏,4653,河滩砾石地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238395.jpg,,,,,,,,,, +四川无心菜,Arenaria szechuensis,余奇、熊先华、李琳霖,THP-KD-4841,20170814,四川,3932,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255191.jpg,,,,,,,,,, +具毛无心菜,Arenaria trichophora,横断山队植被组,4884,19830807,四川省,4500,高山草甸中无草皮处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268518.jpg,,,,,,,,,, +具毛无心菜,Arenaria trichophora,李渤生,5917,19830727,西藏自治区,4300,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268519.jpg,,,,,,,,,, +具毛无心菜,Arenaria trichophora,北京所横断山队,3662,19810824,云南省,4150~4400,高山灌丛草甸及流石滩常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268517.jpg,,,,,,,,,, +毛叶无心菜,Arenaria trichophylla,俞德浚,7428,,云南省 ,3900,海边,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0511370.jpg,,,,,,,,,, +毛叶无心菜,Arenaria trichophylla,四川植被组,2920,1973-7 8,四川省,4700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0019691.jpg,,,,,,,,,, +,Arenaria trichophylla,彭玉兰、涂卫国、幸福,Gaoxf0230,20080716,四川,3860,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0205806.jpg,,,,,,,,,, +土门无心菜,Arenaria tumengelaensis,陶德定,10771,19760805,西藏自治区,4700,"公路河滩,沙砾中",草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935111.jpg,,,,,,,,,, +微毛无心菜,Arenaria weissiana var. puberula,T.T.Yu,7432,19370728,四川省,3900,on rocks cliff,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574410.jpg,,,,,,,,,, +乡城无心菜,Arenaria xerophila var. xiangchengensis,俞德浚,13403,19370920,云南省,3000,margin of pine forest,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0511449.jpg,,,,,,,,,, +狭叶无心菜,Arenaria yulongshanensis,Forrest,6509,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0511451.jpg,,,,,,,,,, +狭叶无心菜,Arenaria yulongshanensis,冯国楣,2443,19391022,云南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0511453.jpg,,,,,,,,,, +簇生无心菜,Arenaria yunnanensis var. caespitosa,K.M.Feng,5278,19400710,云南省,3500,草坝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574440.jpg,,,,,,,,,, +云南无心菜,Arenaria yunnanensis var. yunnanensis,秦仁昌,23406,19290728,云南省,0,杂木林内箐边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0511463.jpg,,,,,,,,,, +杂多雪灵芝,Arenaria zadoiensis,中国科学院青甘调查队,467,19590615,青海省,4100,山坡石崖中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574441.jpg,,,,,,,,,, +小花桄榔,Arenga micrantha,程树志、李渤生,5114,19830617,西藏自治区,0~1850,,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0638694.jpg,,,,,,,,,, +,Arenga westerhoutii,海南植物调查队,52,19540405,海南,0,密林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0364371.jpg,,,,,,,,,, +,Arenga westerhoutii,王启无,89581,19400524,云南省,800,林内,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0364361.jpg,,,,,,,,,, +亮叶银背藤,Argyreia splendens,H.T.Tsai,54534,19330920,云南省,1400,in thicket,,有花有果,https://image.cvh.ac.cn/files/l/PE/01060396.jpg,,,,,,,,,, +亮叶银背藤,Argyreia splendens,G.Forrest,9503,19130000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0526870.jpg,,,,,,,,,, +亮叶银背藤,Argyreia splendens,W.Nanakorn etc.,2422,19941028,,1200,in hill evregreen forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1225293.jpg,,,,,,,,,, +旱生南星,Arisaema aridum,中甸队,63-2987,19630701,云南省,2300,金沙江河谷石灰岩缝,,有花无果,https://image.cvh.ac.cn/files/l/KUN/29977.jpg,,,,,,,,,, +旱生南星,Arisaema aridum,云南植物所,667,0,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/29990.jpg,,,,,,,,,, +长耳南星,Arisaema auriculatum,青藏队,2338,19810710,云南省,3350,黄栎林源 水沟沼泽地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240892.jpg,,,,,,,,,, +长耳南星,Arisaema auriculatum,"曾万章,贾敏如",s.n.,19640513,四川省,2300,刺竹林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00132693.jpg,,,,,,,,,, +短柄南星,Arisaema brevipes,青藏队,1862,19810706,云南省,3200,云杉林下沟谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240735.jpg,,,,,,,,,, +短柄南星,Arisaema brevipes,青藏队植被组,3782,19750607,西藏自治区,2400,松林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803362.jpg,,,,,,,,,, +短柄南星,Arisaema brevipes,标本室,3362,19560800,河北省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0611110.jpg,,,,,,,,,, +红根南星,Arisaema calcareum,武全安,7905,19590506,云南省,1400~1300,石灰岩山林内阴湿,,无花有果,https://image.cvh.ac.cn/files/l/KUN/29403.jpg,,,,,,,,,, +红根南星,Arisaema calcareum,吴望辉,W0330,20101030,广西壮族自治区,288,山坡、石灰岩石山、密林,直立草本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00216998.jpg,,,,,,,,,, +白苞南星,Arisaema candidissimum,青藏队,821,19810611,云南省,2000,河谷山坡乱石堆,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240859.jpg,,,,,,,,,, +白苞南星,Arisaema candidissimum,西藏中草药普查队,4167,19720722,西藏自治区,3300,山坡 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526703.jpg,,,,,,,,,, +缘毛南星,Arisaema ciliatum,"郎楷永,李良千,费勇",2339,19830724,四川省,3400,河滩草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240691.jpg,,,,,,,,,, +缘毛南星,Arisaema ciliatum,青藏队,193,19810601,云南省,2985,云南松至高山栎林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860043.jpg,,,,,,,,,, +多脉南星,Arisaema costatum,"张永田,郞楷永",4420,19660622,西藏自治区,2400,山坡 林下 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526824.jpg,,,,,,,,,, +多脉南星,Arisaema costatum,张林、李星月、张晓严,5-121,20180611,西藏,3292,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023671.jpg,,,,,,,,,, +多脉南星,Arisaema costatum,麻栗坡普查队,5326240479,20150731,云南省,2104.5,阔叶林,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0039735.jpg,,,,,,,,,, +刺棒南星,Arisaema echinatum,PE西藏考察队,7971,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331833.jpg,,,,,,,,,, +刺棒南星,Arisaema echinatum,甘启良,3316,20090519,湖北省,1600,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1225095.jpg,,,,,,,,,, +刺棒南星,Arisaema echinatum,裴盛基,1579,19880527,云南省,3060,草地,火烧过松林下,,,https://image.cvh.ac.cn/files/l/KUN/1268644.jpg,,,,,,,,,, +象南星,Arisaema elephas,青藏队,607,19810601,云南省,3500,高山草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240889.jpg,,,,,,,,,, +象南星,Arisaema elephas,青藏队,11429,19830625,四川省,2700,山坡常绿阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240883.jpg,,,,,,,,,, +一把伞南星,Arisaema erubescens,杨国平,179,20030816,云南省,2490,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241095.jpg,,,,,,,,,, +一把伞南星,Arisaema erubescens,徐洪贵,4139,19950502,四川省,1200,林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241093.jpg,,,,,,,,,, +一把伞南星,Arisaema erubescens,马欣堂等,414,19860700,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241091.jpg,,,,,,,,,, +圈药南星,Arisaema exappendiculatum,倪志诚等,929,19800731,西藏自治区,1860,河边杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00133323.jpg,,,,,,,,,, +圈药南星,Arisaema exappendiculatum,,10156,19750703,四川省,0~2450,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0611463.jpg,,,,,,,,,, +黄苞南星,Arisaema flavum,青藏队,76-8495,19760716,西藏自治区,3720,山坡村边rosa下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240850.jpg,,,,,,,,,, +黄苞南星,Arisaema flavum,青藏队,2989,19810719,云南省,2700~2900,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240837.jpg,,,,,,,,,, +黄苞南星,Arisaema flavum,青藏队,1725,19810702,四川省,3050,林旁路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240739.jpg,,,,,,,,,, +象头花,Arisaema franchetianum,"党成忠,党平",158,19860628,贵州省,1300,密林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244607.jpg,,,,,,,,,, +象头花,Arisaema franchetianum,青藏队,11344,19830621,四川省,2100,山坡常绿阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240878.jpg,,,,,,,,,, +象头花,Arisaema franchetianum,青藏队,822,19810611,云南省,2000,河谷山坡灌丛下 乱石崖中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240860.jpg,,,,,,,,,, +翼檐南星,Arisaema griffithii,,182,19590606,西藏自治区,3850,山坡之林下阴生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526701.jpg,,,,,,,,,, +翼檐南星,Arisaema griffithii,邱炳云,53867,19561120,云南省,3000,潮湿的山坡箐沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00133411.jpg,,,,,,,,,, +疣序南星,Arisaema handelii,K.M.Feng,4050,19400520,云南省,2800~3000,沟边杂林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00133421.jpg,,,,,,,,,, +疣序南星,Arisaema handelii,梁向日,62606,19330815,海南省,0,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0611468.jpg,,,,,,,,,, +疣序南星,Arisaema handelii,王启无,63738,19350600,云南省 ,0~3000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0611467.jpg,,,,,,,,,, +天南星,Arisaema heterophyllum,罗仲春,2582,20000604,湖南省,900,杉木林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241026.jpg,,,,,,,,,, +天南星,Arisaema heterophyllum,谭策铭,7043,20070330,江西省,200,山谷林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241025.jpg,,,,,,,,,, +天南星,Arisaema heterophyllum,"张志松,闵天禄,许介眉等",401047,19640407,贵州省,790,山坡脚,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241024.jpg,,,,,,,,,, +高原南星,Arisaema intermedium,,s.n.,,西藏自治区,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526754.jpg,,,,,,,,,, +高原南星,Arisaema intermedium,"韩裕丰,邓坤梅,陈永瑞",81-580(标1),19810602,云南省,2100,常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01437130.jpg,,,,,,,,,, +高原南星,Arisaema intermedium,俞德浚,20069,19380903,云南省 ,3000,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/29727.jpg,,,,,,,,,, +藏南绿南星,Arisaema jacquemontii,PE西藏考察队,7906,20180626,西藏自治区,3081~3206,林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/02332766.jpg,,,,,,,,,, +藏南绿南星,Arisaema jacquemontii,"M.Wakabayashi,M.Amano,M.Mori etc.",9720138,19970805,,3670,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109499.jpg,,,,,,,,,, +丽江南星,Arisaema lichiangense,C.W.Wang,70473,19350600,云南省,2400,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00133264.jpg,,,,,,,,,, +丽江南星,Arisaema lichiangense,俞德浚,5994,0,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/29526.jpg,,,,,,,,,, +,Arisaema lineare,"Delavay, J.M.",3028,1887-6-14,,,,,,https://image.cvh.ac.cn/files/l/P/P00751114.jpg,,,,,,,,,, +多裂南星,Arisaema multisectum,白水江考察队,891,20060703,甘肃省,1000,河谷山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01359626.jpg,,,,,,,,,, +多裂南星,Arisaema multisectum,方文培,1740,19300513,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00133642.jpg,,,,,,,,,, +多裂南星,Arisaema multisectum,"陈心启,郎楷永",2280,19640516,重庆市,,水沟旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00133641.jpg,,,,,,,,,, +猪笼南星,Arisaema nepenthoides,西藏中草药普查队,1176,19720814,西藏自治区,2700~3000,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01803353.jpg,,,,,,,,,, +猪笼南星,Arisaema nepenthoides,,Q014,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526744.jpg,,,,,,,,,, +小南星,Arisaema parvum,"郎楷永,李良千,费勇",210,19820625,四川省,2500~2700,河边湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110148.jpg,,,,,,,,,, +小南星,Arisaema parvum,,1115,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00032517.jpg,,,,,,,,,, +,Arisaema parvum,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-032-B10,20190814,云南,,高山栎群落中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00608983.jpg,,,,,,,,,, +藏南星,Arisaema propinquum,PE西藏考察队,Jan-67,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332882.jpg,,,,,,,,,, +藏南星,Arisaema propinquum,郭本兆 王为义,20235,19770622,四川省,0~2700,,草本,无花有果,https://image.cvh.ac.cn/files/l/HNWP/64922.jpg,,,,,,,,,, +绥阳雪里见,Arisaema rhizomatum var. nudum,张肇骞,10341,19571214,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00141787.jpg,,,,,,,,,, +绥阳雪里见,Arisaema rhizomatum var. nudum,李一丰,522634160120003 LY,20160120,贵州省,973.1,草丛、酸性土、中生、阳性、中温野生植物,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0063555.jpg,,,,,,,,,, +雪里见,Arisaema rhizomatum var. rhizomatum,临桂普查队,450322150819020LY,20150819,广西壮族自治区,1569,阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0122217.jpg,,,,,,,,,, +雪里见,Arisaema rhizomatum var. rhizomatum,资源县普查队,450329160920002LY,20160920,广西,1041,阔叶林,沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0172779.jpg,,,,,,,,,, +岩生南星,Arisaema saxatile,青藏队,1926,19810705,云南省,2480,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240893.jpg,,,,,,,,,, +岩生南星,Arisaema saxatile,青藏队,12550,19830728,四川省,2300,沟边灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240879.jpg,,,,,,,,,, +瑶山南星,Arisaema sinii,青藏队,11914,19830710,四川省,2400,常绿阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240877.jpg,,,,,,,,,, +瑶山南星,Arisaema sinii,黔南队,3282,19590805,贵州省,,山沟,密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00133219.jpg,,,,,,,,,, +瑶山南星,Arisaema sinii,吴克民,60003,19590518,福建省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0611200.jpg,,,,,,,,,, +东俄洛南星,Arisaema souliei,S.W.Teng,289,19350513,贵州省,0,,Herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0611206.jpg,,,,,,,,,, +东俄洛南星,Arisaema souliei,H.Lee,70722,19570519,四川省,0~2540,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0611202.jpg,,,,,,,,,, +腾冲南星,Arisaema tengtsungense,杨竟生,63-1443,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1218566.jpg,,,,,,,,,, +腾冲南星,Arisaema tengtsungense,"杨竟生, 王新年",63-1294,19630100,云南,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1218569.jpg,,,,,,,,,, +曲序南星,Arisaema tortuosum,,108,19730616,西藏自治区,2500,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01712673.jpg,,,,,,,,,, +曲序南星,Arisaema tortuosum,,12575,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0611213.jpg,,,,,,,,,, +曲序南星,Arisaema tortuosum,程用谦,170009,19590410,广东省,0~320,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0611212.jpg,,,,,,,,,, +网檐南星,Arisaema utile,PE西藏考察队,7864,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331831.jpg,,,,,,,,,, +网檐南星,Arisaema utile,泛喜马拉雅植物志巴基斯坦采集队,1808,20120916,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005986.jpg,,,,,,,,,, +隐序南星,Arisaema wardii,"李渤生,程树志等",513,19820902,西藏自治区,3150,冷杉林下时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/02098125.jpg,,,,,,,,,, +隐序南星,Arisaema wardii,陈世龙,张得钧,高庆波等,ChenSL0351,20080807,青海,3220,云杉林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1392852.jpg,,,,,,,,,, +,Arisaema wattii,"李渤生,程树志",4347,19830427,西藏自治区,1900,河边林中常见草本,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244605.jpg,,,,,,,,,, +,Arisaema wattii,杨国平,414,20040329,云南省,2490,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240906.jpg,,,,,,,,,, +,Arisaema wattii,徐洪贵,5296,19950511,四川省,1100,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240869.jpg,,,,,,,,,, +川中南星,Arisaema wilsonii,青藏队,6718,19820521,云南省,2700,山坡落叶阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240755.jpg,,,,,,,,,, +川中南星,Arisaema wilsonii,毕节队,148,19590710,贵州省,2600,沟底潮湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00133791.jpg,,,,,,,,,, +川中南星,Arisaema wilsonii,T.T.Yu,488,19320421,四川省,2200,under woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00133789.jpg,,,,,,,,,, +乡城南星,Arisaema xiangchengense,地植物组,1811,19810811,四川,3500,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1217784.jpg,,,,,,,,,, +山珠南星,Arisaema yunnanense,青藏队,831,19810610,云南省,1920,金沙江河谷小坡云南松栎林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240833.jpg,,,,,,,,,, +山珠南星,Arisaema yunnanense,青藏队,11411,19830623,四川省,2200,山坡常绿阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240695.jpg,,,,,,,,,, +三芒草,Aristida adscensionis,郭成勇,20064-284-8,20060817,山东省,300,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089532.jpg,,,,,,,,,, +三芒草,Aristida adscensionis,Arnold Tiehm,16019,20100408,,640,growing with Encelia along a gravel drainage north of the road,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089196.jpg,,,,,,,,,, +三芒草,Aristida adscensionis,黄河队,7927,19560909,甘肃省,1320,山坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060858.jpg,,,,,,,,,, +高原三芒草,Aristida alpina,傅国勋,156,19600602,西藏自治区,3800,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00260432.jpg,,,,,,,,,, +短芒草,Aristida brevissima,青藏队植被组,9512,19760810,西藏自治区,3030,,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01432183.jpg,,,,,,,,,, +,Aristida brevissima,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-153-B25,20190826,四川,2848,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260767.jpg,,,,,,,,,, +大颖三芒草,Aristida grandiglumis,"李安仁,朱家楠",6716,19580621,新疆维吾尔自治区,,火煸山和沙山山沟毛地沙丘上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00260487.jpg,,,,,,,,,, +大颖三芒草,Aristida grandiglumis,,384,19580804,甘肃省,1500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00260486.jpg,,,,,,,,,, +,Aristida nujiangensis,青藏队,7706,19820628,西藏自治区,1800,怒江边岩石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01432410.jpg,,,,,,,,,, +糙三芒草,Aristida scabrescens,青藏队植被组,97,19740624,西藏自治区,4100,山坡草地,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01432184.jpg,,,,,,,,,, +糙三芒草,Aristida scabrescens,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20468,20200617,西藏,3649,荒坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507950.jpg,,,,,,,,,, +三刺草,Aristida triseta,,743,19640826,青海省,3900,阳坡草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082914.jpg,,,,,,,,,, +三刺草,Aristida triseta,青藏队植被组,97,19740624,西藏自治区,4100,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076560.jpg,,,,,,,,,, +三刺草,Aristida triseta,Loy R.Phillippe & John E.Ebinger,43688,20140820,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069627.jpg,,,,,,,,,, +藏布三芒草,Aristida tsangpoensis,PE西藏队,PE5488,20170831,西藏自治区,3583,路边山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01891455.jpg,,,,,,,,,, +葫芦叶马兜铃,Aristolochia cucurbitoides,秦仁昌,22541,19290507,云南省,0,杂木林内,山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/0433000.jpg,,,,,,,,,, +葫芦叶马兜铃,Aristolochia cucurbitoides,黄啟斌,10116,19730900,广西壮族自治区,,疏林下,草质藤本,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00014232.jpg,,,,,,,,,, +齿被马兜铃,Aristolochia cucurbitoides,王再先,李昌吉,378,19860814,贵州省,1600,山坡草丛及路旁(高山),草本,无花无果,https://image.cvh.ac.cn/files/l/GZTM/0006295.jpg,,,,,,,,,, +贯叶马兜铃,Aristolochia delavayi,Delavay,2622,18870620,云南省,1800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01863969.jpg,,,,,,,,,, +贯叶马兜铃,Aristolochia delavayi,,14893,19831001,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01062831.jpg,,,,,,,,,, +优贵马兜铃,Aristolochia gentilis,攀枝花苏铁考察队,355,20100715,四川省,2155,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868816.jpg,,,,,,,,,, +优贵马兜铃,Aristolochia gentilis,"朱鑫鑫, 王君, 郑海磊, 赵新杰",ZXX18223,20180808,云南,1747,亚热带,次生草坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1449606.jpg,,,,,,,,,, +西藏马兜铃,Aristolochia griffithii,PE西藏队,PE6259,20170910,西藏自治区,2488~3083,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02333947.jpg,,,,,,,,,, +西藏马兜铃,Aristolochia griffithii,昆明工作站,1127,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815636.jpg,,,,,,,,,, +大果马兜铃,Aristolochia macrocarpa,青藏队,6061,19750628,西藏自治区,2600,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/49059.jpg,,,,,,,,,, +宝兴马兜铃,Aristolochia moupinensis,"H.Li,S.X.Yang,R.Li etc.",260,20020814,云南省,2600,常绿阔叶林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109015.jpg,,,,,,,,,, +宝兴马兜铃,Aristolochia moupinensis,金佛山考察队,2063,19860803,重庆市,1800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815706.jpg,,,,,,,,,, +宝兴马兜铃,Aristolochia moupinensis,236-6队,2696,19760711,湖北省,1800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815703.jpg,,,,,,,,,, +,Aristolochia thibetica,韩裕丰等,81-928,19810703,云南省,2100,路旁 青沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01815624.jpg,,,,,,,,,, +川西马兜铃,Aristolochia thibetica,绵阳队,353,19780614,四川,,地边 ,藤本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM703000262.jpg,,,,,,,,,, +,Aristolochia thibetica,"Soulié, J.A.",721,1893-5,,,,,,https://image.cvh.ac.cn/files/l/P/P00623834.jpg,,,,,,,,,, +藏杏,Armeniaca holosericea,,Feb-96,,辽宁省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01641418.jpg,,,,,,,,,, +藏杏,Armeniaca holosericea,T.T.Yu,5929,19370603,四川省,2260,among woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/01608955.jpg,,,,,,,,,, +藏杏,Armeniaca holosericea,T.T.Yu,5929,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01461780.jpg,,,,,,,,,, +,Armeniaca mume var. mume,,16375,19950309,贵州省,680,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00772143.jpg,,,,,,,,,, +,Armeniaca mume var. mume,,19171,19960215,云南省,1890,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00772142.jpg,,,,,,,,,, +,Armeniaca mume var. mume,陆廷琦,18,19510316,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00588097.jpg,,,,,,,,,, +厚叶梅,Armeniaca mume var. pallescens,T.T.Yu,5538,19370520,四川省,2300,along field side,,无花有果,https://image.cvh.ac.cn/files/l/PE/00588087.jpg,,,,,,,,,, +厚叶梅,Armeniaca mume var. pallescens,王启无,71776,19351011,云南省,2600,mt.slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/679350.jpg,,,,,,,,,, +,Armeniaca vulgaris var. ansu,236-6队,253,19740522,北京市,1200,山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/00589952.jpg,,,,,,,,,, +,Armeniaca vulgaris var. ansu,C.Y.Chiao,2861,19300718,山东省,,cultivated,,无花无果,https://image.cvh.ac.cn/files/l/PE/00563188.jpg,,,,,,,,,, +杏(原变种),Armeniaca vulgaris var. vulgaris,谢登峰、卫静丽,2028017,20190922,四川,4641,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02028017.jpg,,,,,,,,,, +杏(原变种),Armeniaca vulgaris var. vulgaris,黄河队,35,19540616,甘肃省,1300,,,无花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI014504.jpg,,,,,,,,,, +软紫草,Arnebia euchroma,青藏队,870294,19870629,新疆维吾尔自治区,3600,砾石山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110752.jpg,,,,,,,,,, +软紫草,Arnebia euchroma,泛喜马拉雅植物志巴基斯坦采集队,FPH-1039,20120625,,3700,Plateau,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004498.jpg,,,,,,,,,, +灰毛软紫草,Arnebia fimbriata,陈又生,13-2309,20130907,新疆维吾尔自治区,2703,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919853.jpg,,,,,,,,,, +灰毛软紫草,Arnebia fimbriata,,2011,19640925,甘肃省,,洪积扇,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648728.jpg,,,,,,,,,, +灰毛软紫草,Arnebia fimbriata,Yang,5325,19360727,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01325557.jpg,,,,,,,,,, +黄花软紫草,Arnebia guttata,刘冰,932,20070806,新疆维吾尔自治区,1311,荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040317.jpg,,,,,,,,,, +黄花软紫草,Arnebia guttata,"陈又生,袁慊,徐连升等",140922,20140725,内蒙古自治区,,崖壁或石砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037531.jpg,,,,,,,,,, +疏花软紫草,Arnebia szechenyi,于兆英,2048,19810827,宁夏回族自治区,1300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648741.jpg,,,,,,,,,, +疏花软紫草,Arnebia szechenyi,,878,19640715,甘肃省,2400,南坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648742.jpg,,,,,,,,,, +阿坝蒿,Artemisia abaensis,赵素云,82-133,1982.10.,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0004557.jpg,,,,,,,,,, +阿坝蒿,Artemisia abaensis,青藏队,9792,19760722,西藏自治区,4850,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0040448.jpg,,,,,,,,,, +阿坝蒿,Artemisia abaensis,中美联合美国植物考察,1867,19820816,华盛顿,1600,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0040614.jpg,,,,,,,,,, +碱蒿,Artemisia anethifolia,陈全胜,CF-0007-192,20170825,内蒙古自治区,462,碱化草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246849.jpg,,,,,,,,,, +碱蒿,Artemisia anethifolia,"刘瑛心,高有广",136,19640900,宁夏回族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234947.jpg,,,,,,,,,, +碱蒿,Artemisia anethifolia,黄淮海队,9,19640731,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234933.jpg,,,,,,,,,, +莳萝蒿,Artemisia anethoides,老铁山采集队,688,20081003,辽宁省,12,海边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913010.jpg,,,,,,,,,, +莳萝蒿,Artemisia anethoides,"J. Valles, L. Yan, S. W. Zhao",23,20070901,内蒙古自治区,1118,shores and dry bed of a river,,有花无果,https://image.cvh.ac.cn/files/l/PE/01894110.jpg,,,,,,,,,, +黄花蒿,Artemisia annua,张彩飞,3289,20121003,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247568.jpg,,,,,,,,,, +黄花蒿,Artemisia annua,陈全胜,CF-0008-229,20170825,内蒙古自治区,696,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246911.jpg,,,,,,,,,, +黄花蒿,Artemisia annua,吴县普查队,85,19610817,江苏省,,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235388.jpg,,,,,,,,,, +艾,Artemisia argyi,陈全胜,CF-0003-067,20170821,内蒙古自治区,898,石质坡状草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247200.jpg,,,,,,,,,, +艾,Artemisia argyi,安明态,465,20030904,贵州省,1320,山坡荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235825.jpg,,,,,,,,,, +艾,Artemisia argyi,普查标本,16248,19590000,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235446.jpg,,,,,,,,,, +褐头蒿,Artemisia aschurbajewii,林有润,74569,19740729,新疆维吾尔自治区,2580,向阳山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420956.jpg,,,,,,,,,, +褐头蒿,Artemisia aschurbajewii,,1720,19640819,甘肃省,3300~3500,坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420955.jpg,,,,,,,,,, +褐头蒿,Artemisia aschurbajewii,王战等,1879,19510811,黑龙江省,1260,阳山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420954.jpg,,,,,,,,,, +银蒿,Artemisia austriaca,"近田文弘,郎楷永,杨戈",255,19870823,新疆维吾尔自治区,1100,峡谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01197346.jpg,,,,,,,,,, +班玛蒿,Artemisia baimaensis,,801338,19800506,青海省,3440,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0542980.jpg,,,,,,,,,, +班玛蒿,Artemisia baimaensis,,1563,19640817,甘肃省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0542469.jpg,,,,,,,,,, +美叶蒿,Artemisia calophylla,"李渤生,李辉,阳艺",13516,19900905,西藏自治区,2800,乔松林内草地优势种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01507300.jpg,,,,,,,,,, +美叶蒿,Artemisia calophylla,赵清盛,1571,19890721,四川省,1800,沟边草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00421064.jpg,,,,,,,,,, +美叶蒿,Artemisia calophylla,鄂神农架植考队,11152,19760811,湖北省,1750,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00421060.jpg,,,,,,,,,, +绒毛蒿,Artemisia campbellii,青藏队植被组,8583,19760626,西藏自治区,4150,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01484906.jpg,,,,,,,,,, +绒毛蒿,Artemisia campbellii,,Q121,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01484896.jpg,,,,,,,,,, +绒毛蒿,Artemisia campbellii,"郎楷永,李良千,费勇",2922,19830807,四川省,3200~3500,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190311.jpg,,,,,,,,,, +南毛蒿,Artemisia chingii,北京队,897036,19890911,广西壮族自治区,950,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997407.jpg,,,,,,,,,, +南毛蒿,Artemisia chingii,孙学刚等,20010376,20010818,甘肃省,2500,沟谷湿地草滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835159.jpg,,,,,,,,,, +南毛蒿,Artemisia chingii,刘正宇,181737,20071108,重庆市,350,江边荒地中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772396.jpg,,,,,,,,,, +错那蒿,Artemisia conaensis,西藏中草药普查队,4417,19720817,西藏自治区,4300,田边 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01484935.jpg,,,,,,,,,, +错那蒿,Artemisia conaensis,W.K.Hu,13070,19510908,四川省,,At road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00421210.jpg,,,,,,,,,, +米蒿,Artemisia dalai-lamae,"杜庆,孙世洲",434,19810902,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235380.jpg,,,,,,,,,, +米蒿,Artemisia dalai-lamae,,1983,19640923,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00421228.jpg,,,,,,,,,, +米蒿,Artemisia dalai-lamae,胡兴宗,64,19530707,内蒙古自治区,,干燥地,砂砾,常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00421211.jpg,,,,,,,,,, +纤杆蒿,Artemisia demissa,杨金祥,2217,19630814,西藏自治区,4750,公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235547.jpg,,,,,,,,,, +纤杆蒿,Artemisia demissa,"李安仁,朱家柟",6382,19580805,新疆维吾尔自治区,2540,干旱,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235548.jpg,,,,,,,,,, +叉枝蒿,Artemisia divaricata,国际交换队,870202,19870729,四川省,1450,阴湿林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589092.jpg,,,,,,,,,, +叉枝蒿,Artemisia divaricata,"戴伦鹰,钱重海",1025,19510915,湖北省,1080,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00421440.jpg,,,,,,,,,, +叉枝蒿,Artemisia divaricata,黄河调查队,982,19570625,山西省,1400,阳处,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0040606.jpg,,,,,,,,,, +杭爱龙蒿,Artemisia dracunculus var. changaica,Hopkinson,1238,19300912,青海省,3800,In the valley of Hoto Mountains,,有花无果,https://image.cvh.ac.cn/files/l/PE/00421571.jpg,,,,,,,,,, +帕米尔蒿,Artemisia dracunculus var. pamirica,崔友文,2726,19500827,河北省,,山沟内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235672.jpg,,,,,,,,,, +帕米尔蒿,Artemisia dracunculus var. pamirica,郭本兆,3296,19560731,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235673.jpg,,,,,,,,,, +帕米尔蒿,Artemisia dracunculus var. pamirica,西植新疆队,1008,19780705,新疆维吾尔自治区,3600,平草滩草甸草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235671.jpg,,,,,,,,,, +青海龙蒿,Artemisia dracunculus var. qinghaiensis,白佩瑜,高信芬,4,19900619,青海省,3115,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0040634.jpg,,,,,,,,,, +青海龙蒿,Artemisia dracunculus var. qinghaiensis,"朱鑫鑫,安宇梦",ZXX18102,20180615,青海,3087,高原亚寒带高山草甸,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1438308.jpg,,,,,,,,,, +宽裂龙蒿,Artemisia dracunculus var. turkestanica,中国科学院新疆综合考察队,9840,19590709,新疆维吾尔自治区,2500,农田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00421598.jpg,,,,,,,,,, +宽裂龙蒿,Artemisia dracunculus var. turkestanica,林有润,80-076,19800906,青海省,3520,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0543260.jpg,,,,,,,,,, +宽裂龙蒿,Artemisia dracunculus var. turkestanica,杨喜林、张国樑,477,19730810,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0543263.jpg,,,,,,,,,, +青藏蒿,Artemisia duthreuil-de-rhinsi,"张永田,郎楷永",4312,19660620,西藏自治区,4200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235586.jpg,,,,,,,,,, +青藏蒿,Artemisia duthreuil-de-rhinsi,W.J.Roborowski,s.n.,18940224,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01842109.jpg,,,,,,,,,, +二郎山蒿,Artemisia erlangshanensis,胡文光 何铸,11608,19511017,四川省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00421985.jpg,,,,,,,,,, +,Artemisia erlangshanensis,余奇、熊先华、李琳霖,THP-KD-4871,20170814,四川,3932,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241697.jpg,,,,,,,,,, +亮苞蒿,Artemisia forrestii,中甸队,2195,19620921,云南省,1800,放牧地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00421994.jpg,,,,,,,,,, +,Artemisia forrestii,"Forrest, George",195,18-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00417315.jpg,,,,,,,,,, +紫花冷蒿,Artemisia frigida var. atropurpurea,刘冰,300,20060806,内蒙古自治区,1270,典型草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809869.jpg,,,,,,,,,, +紫花冷蒿,Artemisia frigida var. atropurpurea,中国科学院植物研究所黄河调查队,2518,19560000,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00444235.jpg,,,,,,,,,, +紫花冷蒿,Artemisia frigida var. atropurpurea,张荣祖,614,1951/9/3,山西省,1600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0022217.jpg,,,,,,,,,, +亮蒿,Artemisia fulgens,,62403,19340000,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00568071.jpg,,,,,,,,,, +亮蒿,Artemisia fulgens,K.M.Liou,L.7024,19360907,青海省,2170,bords des bois des coteaux,,有花有果,https://image.cvh.ac.cn/files/l/PE/00568072.jpg,,,,,,,,,, +亮蒿,Artemisia fulgens,钟补求,7168,19520816,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00444237.jpg,,,,,,,,,, +细裂叶莲蒿,Artemisia gmelinii,陈全胜,CF-0011-311,20170827,内蒙古自治区,558,石质山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247185.jpg,,,,,,,,,, +细裂叶莲蒿,Artemisia gmelinii,,,20121208,,700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02235997.jpg,,,,,,,,,, +细裂叶莲蒿,Artemisia gmelinii,普查标本,1603,19590000,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235385.jpg,,,,,,,,,, +江孜蒿,Artemisia gyangzeensis,钟补求,5704,19530712,西藏自治区,3900,山涧土壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00444404.jpg,,,,,,,,,, +江孜蒿,Artemisia gyangzeensis,王作宾,20028,1964/8/11,青海,2900,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0232277.jpg,,,,,,,,,, +江孜蒿,Artemisia gyangzeensis,生物研究所西藏考察队,4413,19740921,青海省,2820,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/41105.jpg,,,,,,,,,, +,Artemisia gyitangensis,李渤生 仉志诚 程树志,7296,19830905,西藏自治区,3800,亚高山草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235826.jpg,,,,,,,,,, +吉塘蒿,Artemisia gyitangensis,高生所西藏队,2192,19730825,西藏,3300,河谷阶地,小灌木,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027789.jpg,,,,,,,,,, +盐蒿,Artemisia halodendron,刘慎谔,5469,19521004,辽宁省,,流沙滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/02235603.jpg,,,,,,,,,, +盐蒿,Artemisia halodendron,王微,3072,19620918,河北省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02235602.jpg,,,,,,,,,, +盐蒿,Artemisia halodendron,蒙宁队,1380,19620929,内蒙古自治区,180,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02235600.jpg,,,,,,,,,, +臭蒿,Artemisia hedinii,王金亭,3634,19610726,西藏自治区,4600,山沟的山坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049702.jpg,,,,,,,,,, +臭蒿,Artemisia hedinii,李振宇等,12381,20120727,新疆维吾尔自治区,2000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921139.jpg,,,,,,,,,, +五月艾(原变种),Artemisia indica var. indica,海仙、方晔,5333241812011022LY,20181201,云南,2328,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010067.jpg,,,,,,,,,, +牡蒿,Artemisia japonica,G.A.Karlsson,111402,19641010,重庆市,1100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240148.jpg,,,,,,,,,, +牡蒿,Artemisia japonica,何廷农,795,19890716,青海省,2150,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235952.jpg,,,,,,,,,, +牡蒿,Artemisia japonica,,994,19840820,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235953.jpg,,,,,,,,,, +吉隆蒿,Artemisia jilongensis,PE西藏队,PE5005,20170824,西藏自治区,3522,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890230.jpg,,,,,,,,,, +康马蒿,Artemisia kangmarensis,西藏综考队,1564,19610705,西藏自治区,4380,多石砾洪积扇上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00444956.jpg,,,,,,,,,, +康马蒿,Artemisia kangmarensis,郭先林、苟巍,2037257,20200715,四川,4654,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02037257.jpg,,,,,,,,,, +掌裂蒿,Artemisia kuschakewiczii,"郑度,郭柯",12650,19880822,新疆维吾尔自治区,4200,洪积扇,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235577.jpg,,,,,,,,,, +掌裂蒿,Artemisia kuschakewiczii,S.Ikonnikov,15350,19620901,,2900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01943662.jpg,,,,,,,,,, +野艾蒿,Artemisia lavandulaefolia,"张彩飞,穆光丽",3071,20111015,北京市,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247701.jpg,,,,,,,,,, +野艾蒿,Artemisia lavandulaefolia,王金维,301,19780915,河北省,900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235219.jpg,,,,,,,,,, +野艾蒿,Artemisia lavandulaefolia,"覃海宁,陈之端,侯元同等",17993,20041024,,30,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234729.jpg,,,,,,,,,, +白叶蒿,Artemisia leucophylla,,2483,19590816,河北省,1400,小溪旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235634.jpg,,,,,,,,,, +白叶蒿,Artemisia leucophylla,生态室,,19730925,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235635.jpg,,,,,,,,,, +大花蒿,Artemisia macrocephala,新疆采集队,1210,19780707,新疆维吾尔自治区,4580,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235641.jpg,,,,,,,,,, +大花蒿,Artemisia macrocephala,杨竞生,90-371,19900727,西藏自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235438.jpg,,,,,,,,,, +大花蒿,Artemisia macrocephala,,127,19580922,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02041420.jpg,,,,,,,,,, +粘毛蒿(原变种),Artemisia mattfeldii var. mattfeldii,谢登峰、卫静丽,2028209,20190920,四川,4931,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02028209.jpg,,,,,,,,,, +垫型蒿,Artemisia minor,泛喜马拉雅植物志巴基斯坦采集队,FPH-1316,20120908,新疆维吾尔自治区,3670,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004528.jpg,,,,,,,,,, +垫型蒿,Artemisia minor,"李渤生,李辉",13974,19901004,西藏自治区,5200~5400,冰碛砾石内常见种,,无花无果,https://image.cvh.ac.cn/files/l/PE/01507298.jpg,,,,,,,,,, +蒙古蒿,Artemisia mongolica,陈全胜,CF-0003-073,20170821,内蒙古自治区,898,石质坡状草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246331.jpg,,,,,,,,,, +蒙古蒿,Artemisia mongolica,东林资源调查四队,9531512,19950724,,,河岸杂木林边缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235944.jpg,,,,,,,,,, +蒙古蒿,Artemisia mongolica,"刘,纪",s.n.,19500900,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235147.jpg,,,,,,,,,, +小球花蒿,Artemisia moorcroftiana,"H.Li,S.X.Yang,R.Li etc.",469,20020824,云南省,2550,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091187.jpg,,,,,,,,,, +小球花蒿,Artemisia moorcroftiana,D.E.Boufford et al.,41536,20090731,西藏自治区,3510~3550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917502.jpg,,,,,,,,,, +小球花蒿,Artemisia moorcroftiana,谭仲明,93-140,19930717,四川省,3500,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716766.jpg,,,,,,,,,, +多花蒿,Artemisia myriantha var. myriantha,新平县普查队,5304270895,20121017,云南省,1812,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0018118.jpg,,,,,,,,,, +,Artemisia myriantha var. pleiocephala,中甸队,2161,19620919,云南省,2700,村边缓坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00445828.jpg,,,,,,,,,, +,Artemisia myriantha var. pleiocephala,T.T.Yu,17989,19381010,四川省,2800,in thickets,,有花有果,https://image.cvh.ac.cn/files/l/PE/00445824.jpg,,,,,,,,,, +昆仑蒿,Artemisia nanschanica,"杜庆,孙世洲",250,19810727,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235662.jpg,,,,,,,,,, +昆仑蒿,Artemisia nanschanica,杨金祥,2238,19630815,西藏自治区,4750,公路边砂土上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235661.jpg,,,,,,,,,, +怒江蒿,Artemisia nujianensis,刘恩德等,3315,20110825,西藏自治区,3500,"on slope,valley",,有花无果,https://image.cvh.ac.cn/files/l/PE/02005348.jpg,,,,,,,,,, +怒江蒿,Artemisia nujianensis,青藏队,2905,19810718,云南省,2650,山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190357.jpg,,,,,,,,,, +怒江蒿,Artemisia nujianensis,青藏队,3175,19810803,四川省,2600,山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190349.jpg,,,,,,,,,, +川西腺毛蒿,Artemisia occidentalisichuanensis,邓姣姣、卫靜丽、刘常坤,LDW-44-V-016,20200924,四川,3077.25m,林缘,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02068698.jpg,,,,,,,,,, +黑沙蒿,Artemisia ordosica,李安仁,771,19770816,内蒙古自治区,,沙丘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02235605.jpg,,,,,,,,,, +黑沙蒿,Artemisia ordosica,神东Ⅳ,3,19650727,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02235606.jpg,,,,,,,,,, +东方蒿,Artemisia orientali-hengduangensis,K.T.Fu,1975,19370925,四川省,3100,on road bank,,有花有果,https://image.cvh.ac.cn/files/l/PE/00445927.jpg,,,,,,,,,, +东方蒿,Artemisia orientali-hengduangensis,王启无,68962,19350800,云南省,3600,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00445942.jpg,,,,,,,,,, +西南牡蒿,Artemisia parviflora,山西队,665,19530821,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093722.jpg,,,,,,,,,, +西南牡蒿,Artemisia parviflora,"李渤生,程树志",2074,19821211,西藏自治区,2100,林边干草坡时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02086475.jpg,,,,,,,,,, +西南牡蒿,Artemisia parviflora,马成功等,405,19820727,河南省,900,沟谷 路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02085139.jpg,,,,,,,,,, +伊朗蒿,Artemisia persica,"覃海宁,张树仁,董仕勇等",675,20010819,西藏自治区,4019,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01772068.jpg,,,,,,,,,, +伊朗蒿,Artemisia persica,O.H.Volk,953,19500717,,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01669371.jpg,,,,,,,,,, +纤梗蒿,Artemisia pewzowii,朱格麟,徐文友,刘玉兰,6607,19640901,新疆维吾尔自治区,925,阿尔泰山前山干旱砾石山基后坡,一年生,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00481866.jpg,,,,,,,,,, +纤梗蒿,Artemisia pewzowii,朱格麟,徐文友,刘玉兰,6162,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00481867.jpg,,,,,,,,,, +纤梗蒿,Artemisia pewzowii,陈晓澄等,3618,20130806,青海省,3358,灌木草甸阴坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00015811.jpg,,,,,,,,,, +褐苞蒿,Artemisia phaeolepis,W.L.Chen et al.,SRAE2005254,20050801,新疆维吾尔自治区,1500~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016599.jpg,,,,,,,,,, +褐苞蒿,Artemisia phaeolepis,,2,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01669380.jpg,,,,,,,,,, +叶苞蒿,Artemisia phyllobotrys,"T.N.Ho,B.Bartholomew,M.Watson and M.Gilbert",2897,19960904,青海省,3650,"Dry slopes covered with degraded scrubby vegetation,Artemisia bushes predominant.Some collections made from small arable fields,Growing as a dominant shrub on hillside",,有花有果,https://image.cvh.ac.cn/files/l/PE/00545388.jpg,,,,,,,,,, +叶苞蒿,Artemisia phyllobotrys,崔友文,5667,19510913,四川省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00478054.jpg,,,,,,,,,, +藏岩蒿,Artemisia prattii,Anonymous,6050,20030731,西藏自治区,3100,山坡沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234930.jpg,,,,,,,,,, +藏岩蒿,Artemisia prattii,钟补求,5125,19520727,四川省,,山沟阳坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00478066.jpg,,,,,,,,,, +藏岩蒿,Artemisia prattii,中国科学院青甘调查队,268,19590713,青海省,,丘陵间砾砂平地 (冲积扇),,有花有果,https://image.cvh.ac.cn/files/l/PE/00478065.jpg,,,,,,,,,, +魁蒿,Artemisia princeps,黄昌洪,33,20041016,贵州省,950,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235133.jpg,,,,,,,,,, +魁蒿,Artemisia princeps,刘标,572,20040803,湖南省,350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234721.jpg,,,,,,,,,, +甘青小蒿,Artemisia przewalskii,中国科学院青甘调查队,1298,19590808,青海省,3320,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00478116.jpg,,,,,,,,,, +甘青小蒿,Artemisia przewalskii,调查队,110,19820724,甘肃省,0~2700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0544954.jpg,,,,,,,,,, +粗茎蒿,Artemisia robusta,李渤生等,6589,19830817,西藏自治区,2300~3400,林内及林缘灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917537.jpg,,,,,,,,,, +粗茎蒿,Artemisia robusta,George Forrest,13379,19140900,云南省,3333,Open situations amongst boulders,,有花有果,https://image.cvh.ac.cn/files/l/PE/00492346.jpg,,,,,,,,,, +粗茎蒿,Artemisia robusta,汪发缵,10084,19450000,重庆市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00478194.jpg,,,,,,,,,, +灰苞蒿,Artemisia roxburghiana,"张志耘,谢磊等",2016-128,20151208,广西壮族自治区,390,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112608.jpg,,,,,,,,,, +灰苞蒿,Artemisia roxburghiana,"陈伟烈,陈家瑞,郭柯等",7444,19840708,四川省,3300,冷云杉林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049995.jpg,,,,,,,,,, +岩蒿,Artemisia rupestris,S.V.Smirnov et al.,SRAE2007654,20070723,新疆维吾尔自治区,1952,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016601.jpg,,,,,,,,,, +岩蒿,Artemisia rupestris,,s.n.,19590812,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01765871.jpg,,,,,,,,,, +香叶蒿,Artemisia rutifolia,植物新疆队,885,19780704,新疆维吾尔自治区,3520,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235448.jpg,,,,,,,,,, +香叶蒿,Artemisia rutifolia,T.S.Elias et al.,4552,19780823,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01669461.jpg,,,,,,,,,, +香叶蒿,Artemisia rutifolia,"李渤生,郑度,张百平",11057,19870817,西藏自治区,4300,山坡及各地荒漠中优势物之一,,有花无果,https://image.cvh.ac.cn/files/l/PE/01295036.jpg,,,,,,,,,, +白莲蒿,Artemisia sacrorum,郭成勇,1505152-5,20040813,山东省,400,山坡疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234630.jpg,,,,,,,,,, +白莲蒿,Artemisia sacrorum,聂宝,XM002,20150807,内蒙古自治区,1115~923,石山及山下草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115107.jpg,,,,,,,,,, +白莲蒿,Artemisia sacrorum,"陈又生,石硕",8042,20080806,河北省,2000,Grassy slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113601.jpg,,,,,,,,,, +昆仑沙蒿,Artemisia saposhnikovi,Anonymous,974,19630830,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234899.jpg,,,,,,,,,, +昆仑沙蒿,Artemisia saposhnikovi,Anonymous,297,19580724,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234897.jpg,,,,,,,,,, +昆仑沙蒿,Artemisia saposhnikovi,新波,464,19590711,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234898.jpg,,,,,,,,,, +猪毛蒿,Artemisia scoparia,,4 3312,19590813,河北省,880,山坡阳处晴,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240154.jpg,,,,,,,,,, +猪毛蒿,Artemisia scoparia,东林资源调查二队,B0404,19870714,,,河岸灌丛间,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235938.jpg,,,,,,,,,, +猪毛蒿,Artemisia scoparia,Anonymous,520,19570720,新疆维吾尔自治区,1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235267.jpg,,,,,,,,,, +大籽蒿,Artemisia sieversiana,陈全胜,CF-0008-197,20170825,内蒙古自治区,696,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246741.jpg,,,,,,,,,, +大籽蒿,Artemisia sieversiana,,96388,19960718,新疆维吾尔自治区,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236000.jpg,,,,,,,,,, +大籽蒿,Artemisia sieversiana,于兆英,2694,19810924,陕西省,1700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235145.jpg,,,,,,,,,, +西南圆头蒿,Artemisia sinensis,PE西藏队,PE5662,20170902,西藏自治区,4305,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890709.jpg,,,,,,,,,, +西南圆头蒿,Artemisia sinensis,K.M.Feng,8372,19401011,云南省,,草坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00492348.jpg,,,,,,,,,, +西南圆头蒿,Artemisia sinensis,王启无,66213,19350900,四川省,3500,Under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479505.jpg,,,,,,,,,, +球花蒿,Artemisia smithii,汤宗孝,1749,19830818,四川省,3450,亚高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00856424.jpg,,,,,,,,,, +球花蒿,Artemisia smithii,,76-589,19760831,西藏自治区,4300,森林上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479520.jpg,,,,,,,,,, +西南大头蒿,Artemisia speciosa,青藏队横断山队,4078,19810815,四川省,420,山沟内林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190365.jpg,,,,,,,,,, +西南大头蒿,Artemisia speciosa,贾慎修,292,19510907,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479585.jpg,,,,,,,,,, +西南大头蒿,Artemisia speciosa,王启无,65115,19350803,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479582.jpg,,,,,,,,,, +冻原白蒿,Artemisia stracheyi,王金亭,3634,19610726,西藏自治区,4600,山沟的山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02086488.jpg,,,,,,,,,, +肉质叶蒿,Artemisia succulentoides,"张永田,郞楷永",1530,19650816,西藏自治区,3800,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479701.jpg,,,,,,,,,, +肉质叶蒿,Artemisia succulentoides,"张永田, 郎楷永",1518,19650816,西藏,3800,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0041732.jpg,,,,,,,,,, +阴地蒿,Artemisia sylvatica,"俞德俊,陆玲娣等",75152,19750709,吉林省,1100,林缘路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235029.jpg,,,,,,,,,, +阴地蒿,Artemisia sylvatica,吉林植物调查3队,9531512,19950714,,,山坡阔叶混交林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233723.jpg,,,,,,,,,, +阴地蒿,Artemisia sylvatica,郭成勇,20065-363-2,20060912,山东省,250,河边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055656.jpg,,,,,,,,,, +波密蒿,Artemisia tafelii,生态室高原组,14715,19800902,西藏自治区,3600~3700,林缘灌丛草甸常见种,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479717.jpg,,,,,,,,,, +甘青蒿,Artemisia tangutica,"D.E.Boufford,B.Bartholomew,C.Y.Chen,M.J.Donoghue e",41569,20090731,西藏自治区,3550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234742.jpg,,,,,,,,,, +甘青蒿,Artemisia tangutica,张寿洲等,1064,20130926,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990494.jpg,,,,,,,,,, +甘青蒿,Artemisia tangutica,"李良千,王忠涛,杜玉芬,卫然",228,20110912,甘肃省,2017~2110,林缘沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01914135.jpg,,,,,,,,,, +藏腺毛蒿,Artemisia thellungiana,PE西藏队,PE5125,20170825,西藏自治区,3788,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890488.jpg,,,,,,,,,, +藏腺毛蒿,Artemisia thellungiana,安顺队,1946,19590919,贵州省,1300,山脚草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479784.jpg,,,,,,,,,, +湿地蒿,Artemisia tournefortiana,"近田文弘,郎楷永",373,19870902,新疆维吾尔自治区,1800,沙漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/01197372.jpg,,,,,,,,,, +湿地蒿,Artemisia tournefortiana,M.V.Viswanathan,55677,19750906,,0~3000,,tall shrub.,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0545717.jpg,,,,,,,,,, +指裂蒿,Artemisia tridactyla,D.E.Boufflord B.Bartholomew D.A.Eaton et al.,41489,20090731,西藏自治区,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235711.jpg,,,,,,,,,, +指裂蒿,Artemisia tridactyla,神南Ⅳ,1,19650727,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234847.jpg,,,,,,,,,, +指裂蒿,Artemisia tridactyla,"马毓泉,吴庆如",13,19650817,内蒙古自治区,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234848.jpg,,,,,,,,,, +黄毛蒿,Artemisia velutina,陈伟烈,14275,19800819,西藏自治区,2000,牧场上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101842.jpg,,,,,,,,,, +黄毛蒿,Artemisia velutina,陇西山考察队,2771,19910926,福建省,400~600,林缘 沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01548405.jpg,,,,,,,,,, +黄毛蒿,Artemisia velutina,武陵考察队,1808,19881005,湖南省,900,山地 路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01320200.jpg,,,,,,,,,, +辽东蒿,Artemisia verbenacea,傅连中 吴丰,12,20130812,宁夏回族自治区,1438,人工草地内杂草,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112695.jpg,,,,,,,,,, +辽东蒿,Artemisia verbenacea,侯学煜,12882,19510903,内蒙古自治区,,盐土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01580146.jpg,,,,,,,,,, +辽东蒿,Artemisia verbenacea,侯学煜,10665,19500821,黑龙江省,,低平,,有花无果,https://image.cvh.ac.cn/files/l/PE/01552984.jpg,,,,,,,,,, +南艾蒿,Artemisia verlotorum,"覃海宁,吴振海,刘冰",19258,20060923,陕西省,1353,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809850.jpg,,,,,,,,,, +南艾蒿,Artemisia verlotorum,R.Coveny & K.Miller,11828,19840328,,440,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01669698.jpg,,,,,,,,,, +南艾蒿,Artemisia verlotorum,深圳考察队,1499,19970927,广东省,175,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01401497.jpg,,,,,,,,,, +毛莲蒿,Artemisia vestita,PE西藏考察队,7052,20180609,西藏自治区,3244,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333714.jpg,,,,,,,,,, +毛莲蒿,Artemisia vestita,新疆综合考察队,748,19570722,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235393.jpg,,,,,,,,,, +毛莲蒿,Artemisia vestita,郭成勇,1501054-1,20031003,山东省,400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234662.jpg,,,,,,,,,, +藏东蒿,Artemisia vexans,PE西藏队,PE5626,20170901,西藏自治区,4556,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890738.jpg,,,,,,,,,, +藏东蒿,Artemisia vexans,Harry Smith,11091,19340817,四川省,3200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479987.jpg,,,,,,,,,, +腺毛蒿,Artemisia viscida,T.T.Yu,14519,19371013,四川省,3340,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479995.jpg,,,,,,,,,, +腺毛蒿,Artemisia viscida,青藏补点组,5963,19760917,西藏自治区,0,干旱稀疏灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042369.jpg,,,,,,,,,, +密腺毛蒿,Artemisia viscidissima,吴征镒,5572,19760906,西藏,,云冷杉林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219864.jpg,,,,,,,,,, +藏龙蒿,Artemisia waltonii,PE西藏队,PE6715,20170915,西藏自治区,4200,湖边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333977.jpg,,,,,,,,,, +藏龙蒿,Artemisia waltonii,杨永昌,1193,19650917,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234867.jpg,,,,,,,,,, +藏龙蒿,Artemisia waltonii,青藏队,1232,19870826,新疆维吾尔自治区,4960,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234864.jpg,,,,,,,,,, +藏沙蒿,Artemisia wellbyi,青藏补点组,751311,19750811,西藏自治区,2980,沙滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235656.jpg,,,,,,,,,, +藏沙蒿,Artemisia wellbyi,"杜庆,孙世洲",134,19810700,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235654.jpg,,,,,,,,,, +内蒙古旱蒿,Artemisia xerophytica,"J. Valles, L. Yan, S. W. Zhao",28,20070902,内蒙古自治区,,sandy soils,,有花无果,https://image.cvh.ac.cn/files/l/PE/01894103.jpg,,,,,,,,,, +内蒙古旱蒿,Artemisia xerophytica,N.M.Przewalski,270,18730714,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01669729.jpg,,,,,,,,,, +内蒙古旱蒿,Artemisia xerophytica,新滩,250,19590527,新疆维吾尔自治区,,半固定沙丘垅两侧坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00492184.jpg,,,,,,,,,, +日喀则蒿,Artemisia xigazeensis,"覃海宁,张树仁,董仕勇等",578,20010815,西藏自治区,3600,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798675.jpg,,,,,,,,,, +日喀则蒿,Artemisia xigazeensis,王作宾,20029,19640811,青海省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0212573.jpg,,,,,,,,,, +亚东蒿,Artemisia yadongensis,青藏队,2172,19740910,西藏自治区,2900,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00492197.jpg,,,,,,,,,, +亚东蒿,Artemisia yadongensis,青藏队,74-2172,19740910,西藏,2900,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219865.jpg,,,,,,,,,, +藏白蒿,Artemisia younghusbandii,"李渤生,李辉,多吉次旦",13139,19900817,西藏自治区,4500,高山 草原洪积扇优势种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01507264.jpg,,,,,,,,,, +高原蒿,Artemisia youngii,杨竞生,7439,19750624,云南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042441.jpg,,,,,,,,,, +高原蒿,Artemisia youngii,未详,1846,19720915,西藏,4500,石砾山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028693.jpg,,,,,,,,,, +云南蒿,Artemisia yunnanensis,戴天伦,103279,19581002,重庆市,695,生于河沟边草坪中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00492217.jpg,,,,,,,,,, +云南蒿,Artemisia yunnanensis,Harry Smith,13375,19341112,四川省,1600,in fruti-cetis apricis,,有花有果,https://image.cvh.ac.cn/files/l/PE/00492216.jpg,,,,,,,,,, +云南蒿,Artemisia yunnanensis,T.T.Yu,13393,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00492222.jpg,,,,,,,,,, +察隅蒿,Artemisia zayuensis,PE西藏队,PE5773,20170903,西藏自治区,1683~2900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891214.jpg,,,,,,,,,, +片马蒿,Artemisia zayuensis,青藏队,8557,19820725,云南省,2900~3000,Abies林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01190970.jpg,,,,,,,,,, +片马蒿,Artemisia zayuensis,武素功,8146A,19640717,云南,2600,山谷常绿阔叶林下路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042220.jpg,,,,,,,,,, +中甸艾,Artemisia zhongdianensis,管开云等,327,19840827,云南省,1850,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042453.jpg,,,,,,,,,, +中甸艾,Artemisia zhongdianensis,中甸队,2161,19620919,云南,2100,林内缓坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219871.jpg,,,,,,,,,, +巴塘荩草,Arthraxon batangensis,四川省植被调查队,3898,19730916,四川省,3100,河谷旱生灌丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01432205.jpg,,,,,,,,,, +,Arthraxon hispidus var. hispidus,Liu Yanchun,618,20101023,云南省,2400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089372.jpg,,,,,,,,,, +,Arthraxon hispidus var. hispidus,张寿洲等,930,20130925,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990535.jpg,,,,,,,,,, +,Arthraxon hispidus var. hispidus,安明态,5332,20030924,贵州省,1270,路边荒地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01787260.jpg,,,,,,,,,, +小叶荩草,Arthraxon lancifolius,,Y0258,19781000,云南省,1500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00260808.jpg,,,,,,,,,, +小叶荩草,Arthraxon lancifolius,罗成瑜,ALSZY445,20121203,云南,2380,阔叶林下半山坡上,草本,,https://image.cvh.ac.cn/files/l/KUN/1399968.jpg,,,,,,,,,, +小叶荩草,Arthraxon lancifolius,,2503,,云南省 ,,,,,https://image.cvh.ac.cn/files/l/NAS/NAS00514582.jpg,,,,,,,,,, +,Arthraxon prionodes,周口店采集队,164,20080927,北京市,140,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112292.jpg,,,,,,,,,, +,Arthraxon prionodes,Liu Yanchun,480,20101000,云南省,1770,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102223.jpg,,,,,,,,,, +,Arthraxon prionodes,郭成勇,20061-333-4,20060817,山东省,350,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089527.jpg,,,,,,,,,, +贡山波罗密,Artocarpus gongshanensis,青藏队,9223,19820810,云南省,1400,山坡常绿阔叶林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00024101.jpg,,,,,,,,,, +贡山菠萝蜜,Artocarpus gongshanensis,青藏队,9223,19820810,云南,1350-1400,山坡,常绿阔叶林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0758292.jpg,,,,,,,,,, +木波罗,Artocarpus heterophyllus,,62,19660403,广西壮族自治区,200,村边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984653.jpg,,,,,,,,,, +木波罗,Artocarpus heterophyllus,叶国栋,776,19820519,福建省,,栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/01842290.jpg,,,,,,,,,, +木波罗,Artocarpus heterophyllus,侯学煜等,15180,19520330,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01609940.jpg,,,,,,,,,, +贡山假升麻,Aruncus gombalanus,FLPH Tibet Expedition,12-1379,20120916,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01966947.jpg,,,,,,,,,, +贡山假升麻,Aruncus gombalanus,青藏队,8633,19820726,云南省,3500,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01147994.jpg,,,,,,,,,, +贡山假升麻,Aruncus gombalanus,宋滋圃,38612,19540000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00773978.jpg,,,,,,,,,, +假升麻,Aruncus sylvester,万涛等,FSB-712,20130709,四川省,,沿路,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994145.jpg,,,,,,,,,, +假升麻,Aruncus sylvester,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1207,20130814,西藏自治区,3065,山谷乔松林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992572.jpg,,,,,,,,,, +竹叶兰,Arundina graminifolia,陈恒彬,1748,19870816,福建省,750,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089942.jpg,,,,,,,,,, +竹叶兰,Arundina graminifolia,李鹏伟,16101501,20161015,广西壮族自治区,,路边石壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088232.jpg,,,,,,,,,, +竹叶兰,Arundina graminifolia,"Y.M.Shui,W.H.Chen and J.S.Sheng",30543,20021006,云南省,,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033594.jpg,,,,,,,,,, +,Arundinaria faberi,E. Faber,1119,,,,,,,https://image.cvh.ac.cn/files/l/NY/00346002.jpg,,,,,,,,,, +,Arundinaria faberi,刘芙蓉、赵闪、谌登科,JZG1497,20190621,四川,2596.35,,竹类,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0272887.jpg,,,,,,,,,, +孟加拉野古草,Arundinella bengalensis,780植被组,361,19781113,云南省,1960,水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01555578.jpg,,,,,,,,,, +孟加拉野古草,Arundinella bengalensis,西南综考队川滇黔接壤分队,Jan-65,19650505,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246505.jpg,,,,,,,,,, +孟加拉野古草,Arundinella bengalensis,H.F.Sun,676,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00261260.jpg,,,,,,,,,, +丈野古草,Arundinella decempedalis,毛品一,6838,1955-10-,云南省,760,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0099941.jpg,,,,,,,,,, +丈野古草,Arundinella decempedalis,张肇骞,14408,19581228,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00177222.jpg,,,,,,,,,, +大花野古草,Arundinella grandiflora,滇西北金沙江队,6526,19630814,云南省,1700,松?林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00261282.jpg,,,,,,,,,, +大花野古草,Arundinella grandiflora,李永亮等三人,YDDXS1131,20131001,云南,2450,南亚热带常绿林边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1400005.jpg,,,,,,,,,, +西南野古草,Arundinella hookeri,Liu Yanchun,557,20101019,云南省,2432,on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088490.jpg,,,,,,,,,, +西南野古草,Arundinella hookeri,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01987358.jpg,,,,,,,,,, +西南野古草,Arundinella hookeri,"张经炜,王金亭",106,19660520,西藏自治区,3200,尼泽河南岸山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01987359.jpg,,,,,,,,,, +石芒草,Arundinella nepalensis,,4304,19640331,广西壮族自治区,280,河谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032710.jpg,,,,,,,,,, +石芒草,Arundinella nepalensis,S.Noshiro et al.,9770160,19970817,,1920,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02012768.jpg,,,,,,,,,, +多节野古草,Arundinella nodosa,税玉民等,64420,20060816,云南省,1935,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849972.jpg,,,,,,,,,, +云南野古草,Arundinella yunnanensis,青藏队植被组,3295,19740920,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469368.jpg,,,,,,,,,, +云南野古草,Arundinella yunnanensis,王启无,66574,19351000,云南省,3000,Open slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00261943.jpg,,,,,,,,,, +芦竹,Arundo donax,"王印政,彭华,邓德山,邓云飞,税玉民,朱大海",4870,19981025,云南省,800,山地,路旁,山坡,水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097981.jpg,,,,,,,,,, +芦竹,Arundo donax,吕碧凤,19068,20091024,台湾省,300,开阔荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089717.jpg,,,,,,,,,, +芦竹,Arundo donax,T.Miyazaki,31259,20031231,,5,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089410.jpg,,,,,,,,,, +单叶细辛,Asarum himalaicum,李振宇,11743,20090426,湖北省,1200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059794.jpg,,,,,,,,,, +单叶细辛,Asarum himalaicum,D.E.Boufford et al.,37765,20070519,甘肃省,2320~2725,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814629.jpg,,,,,,,,,, +单叶细辛,Asarum himalaicum,"李渤生,程树志",2815,19830208,西藏自治区,850,江边Ficus林下常见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01583053.jpg,,,,,,,,,, +马利筋,Asclepias curassavica,蔡国樑,996,19841122,福建省,,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108888.jpg,,,,,,,,,, +马利筋,Asclepias curassavica,王洪,4313,20010507,云南省,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108846.jpg,,,,,,,,,, +马利筋,Asclepias curassavica,C.L.Lundell,4724,19330705,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02040359.jpg,,,,,,,,,, +,Ascocentrum himalaicum,金效华,6744,20041106,云南省,1400,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01526048.jpg,,,,,,,,,, +圆柱叶乌舌兰,Ascocentrum himalaicum,李剑武,3125,20130510,云南,1900,常绿色阔叶林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028357.jpg,,,,,,,,,, +,Askellia flexuosa,青藏队植被组,12974,19760710,西藏自治区,4200,坡荒卵石间,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234533.jpg,,,,,,,,,, +,Askellia flexuosa,泛喜马拉雅植物志巴基斯坦采集队,FPH-0345,20120621,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005388.jpg,,,,,,,,,, +,Askellia flexuosa,陈又生,13-2258,20130902,新疆维吾尔自治区,,山谷砾石地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919859.jpg,,,,,,,,,, +折枝天门冬,Asparagus angulofractus,Sino-Russian Altai Expedition,SRAE2004148,20040000,新疆维吾尔自治区,,Sandy dunes and granite rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766880.jpg,,,,,,,,,, +折枝天门冬,Asparagus angulofractus,,K116,19870902,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01469052.jpg,,,,,,,,,, +攀援天门冬,Asparagus brachyphyllus,老铁山采集队,413,20080712,辽宁省,,海边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089634.jpg,,,,,,,,,, +攀援天门冬,Asparagus brachyphyllus,Guo Zong-Hua,68,19950706,北京市,420,生于山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01791652.jpg,,,,,,,,,, +攀援天门冬,Asparagus brachyphyllus,钟补求,8061,19580531,内蒙古自治区,1670,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01791651.jpg,,,,,,,,,, +天门冬,Asparagus cochinchinensis,"张树仁,陈淑荣,朗校安等",1760,20140612,四川省,1117,山坡 林下 沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021823.jpg,,,,,,,,,, +天门冬,Asparagus cochinchinensis,红水河植物考察队,89-1500,19890521,广西壮族自治区,750,石灰岩灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017573.jpg,,,,,,,,,, +天门冬,Asparagus cochinchinensis,黄土高原采集队,3031,19840621,河南省,750,山坡灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01948613.jpg,,,,,,,,,, +羊齿天门冬,Asparagus filicinus,陈泽映 赵振锯 熊子仙,112236,19800519,四川省,2400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02095325.jpg,,,,,,,,,, +羊齿天门冬,Asparagus filicinus,"Cribb.P.J, Chau.K.C.,Luo.Y.B. et al.",ASBK493,19970510,广西壮族自治区,600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017570.jpg,,,,,,,,,, +羊齿天门冬,Asparagus filicinus,傅坤俊,17541,19770614,陕西省,1700,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01948294.jpg,,,,,,,,,, +戈壁天门冬,Asparagus gobicus,陈又生等,140730,20140722,内蒙古自治区,1024,沙地、榆树下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02034066.jpg,,,,,,,,,, +戈壁天门冬,Asparagus gobicus,P.Hanelt C.Davazanic,2101,19620529,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00218310.jpg,,,,,,,,,, +戈壁天门冬,Asparagus gobicus,钟补求,8062,19580531,甘肃省,1670,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00218309.jpg,,,,,,,,,, +长花天门冬,Asparagus longiflorus,老铁山采集队,154,20080503,辽宁省,,山顶灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089622.jpg,,,,,,,,,, +长花天门冬,Asparagus longiflorus,候学煜,11467,19500913,黑龙江省,1700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02081591.jpg,,,,,,,,,, +短梗天门冬,Asparagus lycopodineus,巴山采集队,6109,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066253.jpg,,,,,,,,,, +短梗天门冬,Asparagus lycopodineus,巴山采集队,5288,20110703,四川省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01872816.jpg,,,,,,,,,, +短梗天门冬,Asparagus lycopodineus,周仕顺,601,20021212,云南省,580,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01644764.jpg,,,,,,,,,, +密齿天门冬,Asparagus meioclados,杨永等,562,20100917,四川省,2121,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01939801.jpg,,,,,,,,,, +密齿天门冬,Asparagus meioclados,北京所横断山队,739,19810622,云南省,3000,云南松林下隅见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01479256.jpg,,,,,,,,,, +西南天门冬,Asparagus munitus,T.T.Yu,5895,19370602,四川省,2200,under thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00218505.jpg,,,,,,,,,, +西南天门冬,Asparagus munitus,T.T.Yu,5212,19370501,云南省,2400,among thickets,spiny shrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/00218503.jpg,,,,,,,,,, +多刺天门冬,Asparagus myriacanthus,,9360,19600608,云南省,2100,沧江边灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01791650.jpg,,,,,,,,,, +多刺天门冬,Asparagus myriacanthus,应俊生,3492,19600519,四川省,2460~3100,路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01791645.jpg,,,,,,,,,, +多刺天门冬,Asparagus myriacanthus,,8891,19600605,西藏自治区,2300,山坡阳处有刺灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01791644.jpg,,,,,,,,,, +西北天门冬,Asparagus persicus,唐宇丹,X080,20050823,新疆维吾尔自治区,463,河滩强光,,无花有果,https://image.cvh.ac.cn/files/l/PE/01939816.jpg,,,,,,,,,, +西北天门冬,Asparagus persicus,D.Podlech,12683,19650919,,1900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01633638.jpg,,,,,,,,,, +西北天门冬,Asparagus persicus,,745,19640826,青海省,3700,河谷 陛地 农田边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01532650.jpg,,,,,,,,,, +长刺天门冬,Asparagus racemosus,西藏中草药普查队,430,19720606,西藏自治区,2150,吉隆河畔,,无花无果,https://image.cvh.ac.cn/files/l/PE/01532647.jpg,,,,,,,,,, +长刺天门冬,Asparagus racemosus,,19009,19290816,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0620593.jpg,,,,,,,,,, +四川天门冬,Asparagus sichuanicus,姜恕/S.Jiang,7038,19610525,四川省,1510,耕种地旁,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00218897.jpg,,,,,,,,,, +四川天门冬,Asparagus sichuanicus,钟补求,5200,19520716,西藏自治区,3200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00218891.jpg,,,,,,,,,, +西藏天门冬,Asparagus tibeticus,PE西藏考察队,7256,20180614,西藏自治区,4121,河谷、山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332434.jpg,,,,,,,,,, +西藏天门冬,Asparagus tibeticus,扎西次仁,ZhongY130,20080806,西藏,3970,山坡草丛,路旁,河滩或河岸边,灌木,,https://image.cvh.ac.cn/files/l/KUN/1391606.jpg,,,,,,,,,, +盐源天门冬,Asparagus yanyuanensis,姜恕/S.Jiang,5566,19600501,四川省,,山谷沟谷杂木林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00034575.jpg,,,,,,,,,, +糙草,Asperugo procumbens,关克俭,504,19570529,新疆维吾尔自治区,,水边河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111250.jpg,,,,,,,,,, +糙草,Asperugo procumbens,青藏科考队,12851,19760818,西藏自治区,3800,路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111179.jpg,,,,,,,,,, +糙草,Asperugo procumbens,"Hang Sun,Tao Deng,Sergey Volis etc.",17088,20140507,,1831,200min river Besin UriReisay,,有花有果,https://image.cvh.ac.cn/files/l/PE/02063967.jpg,,,,,,,,,, +对叶车叶草,Asperula oppositifolia,青藏队植被组,12874,19760629,西藏自治区,3700,山地阳坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803942.jpg,,,,,,,,,, +对叶车叶草,Asperula oppositifolia,张林、李星月、张晓严,7-393,20180618,西藏,2830,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023759.jpg,,,,,,,,,, +对叶车叶草,Asperula oppositifolia,王一,2312,20120615,河南,418,砂砾地,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1902312.jpg,,,,,,,,,, +,Aspidopterys floribunda,"S.K.Wu,L.H.Liu,Y.M.Shui et al.",3908,19961010,云南省,1800,Under dense forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01879493.jpg,,,,,,,,,, +多花盾翅藤,Aspidopterys floribunda,H.T.Tsai,54555,19330925,云南省 ,2000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0270507.jpg,,,,,,,,,, +盾翅藤,Aspidopterys glabriuscula,"李渤生,程树志",2090,19821211,西藏自治区,1850,常绿阔叶林缘偶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077230.jpg,,,,,,,,,, +盾翅藤,Aspidopterys glabriuscula,北京队,896403,19890912,广西壮族自治区,450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981583.jpg,,,,,,,,,, +盾翅藤,Aspidopterys glabriuscula,236任务组,129,19720728,四川省,800,河谷 山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01534728.jpg,,,,,,,,,, +,Aster ageratoides var. holophyllus,,,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00003797.jpg,,,,,,,,,, +无毛小舌紫菀,Aster albescens var. levissimus,青藏队,2531,19810709,云南省,3000,山坡路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111073.jpg,,,,,,,,,, +无毛小舌紫菀,Aster albescens var. levissimus,"郎楷永,李良千,费勇",1525,19820904,四川省,2700,湾子沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111072.jpg,,,,,,,,,, +无毛小舌紫菀,Aster albescens var. levissimus,青藏队,10892,19820929,西藏自治区,,山坡黄松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111067.jpg,,,,,,,,,, +,Aster alpinus var. alpinus,青藏队,1042,19870814,新疆维吾尔自治区,2900~3000,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1224343.jpg,,,,,,,,,, +高山紫菀(原变种),Aster alpinus var. alpinus,魏太昌,20728,1979-7 2,四川省,4550,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0141859.jpg,,,,,,,,,, +异苞高山紫菀,Aster alpinus var. diversisquamus,郭柯等,天山-261,19860802,新疆维吾尔自治区,2780,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01818023.jpg,,,,,,,,,, +高山紫菀异苞变种,Aster alpinus var. diversisquamus,"亚吉东, 张桥蓉, 胡枭剑",16CS13031,20160616,新疆,1710,云杉林林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1444836.jpg,,,,,,,,,, +,Aster altaicus,秦仁昌,166,19560714,新疆维吾尔自治区,1500,山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101286.jpg,,,,,,,,,, +,Aster altaicus,黄河队,821,19540911,陕西省,,山坡阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067545.jpg,,,,,,,,,, +,Aster altaicus,郎学忠,1,19560822,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851988.jpg,,,,,,,,,, +星舌紫菀,Aster asteroides,PE西藏队,PE5972,20170905,西藏自治区,4780,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334055.jpg,,,,,,,,,, +星舌紫菀,Aster asteroides,"汤宗孝,田效文,张正华",638,19810718,云南省,3300,草甸草场,,有花有果,https://image.cvh.ac.cn/files/l/PE/01823546.jpg,,,,,,,,,, +星舌紫菀,Aster asteroides,汤宗孝,1224,19830629,四川省,3960,山坡路旁高山灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01823543.jpg,,,,,,,,,, +耳叶紫菀,Aster auriculatus,金效华,,20080704,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909830.jpg,,,,,,,,,, +耳叶紫菀,Aster auriculatus,"张志松,张永田",4596,19600616,贵州省,1200,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825443.jpg,,,,,,,,,, +髯毛紫菀,Aster barbellatus,,1454,19650702,西藏自治区,,荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825825.jpg,,,,,,,,,, +髯毛紫菀,Aster barbellatus,青藏队,76-9080,19760815,西藏,5200,温泉边湿润草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824879.jpg,,,,,,,,,, +线舌紫菀,Aster bietii,"陈又生,毕延超",11-097B,20110807,云南省,2925,林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909644.jpg,,,,,,,,,, +线舌紫菀,Aster bietii,俞德浚,20636,19381011,云南省 ,3300,"Side of mt.streem,sandy & rocky place.",草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0043648.jpg,,,,,,,,,, +,Aster bipinnatisectus,Ludlow; Sherriff & Elliot,14164,20-Jul-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00531284.jpg,,,,,,,,,, +,Aster boweri,西藏队,1631,19610718,西藏自治区,4450,河漫滩沙质土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060013.jpg,,,,,,,,,, +,Aster boweri,中国科学院青甘调查队,1354,19590812,青海省,3200,奠河冲积扇,,有花无果,https://image.cvh.ac.cn/files/l/PE/00286706.jpg,,,,,,,,,, +短毛紫菀,Aster brachytrichus,"陈又生,毕延超",11-023,20110721,四川省,2978,grassy slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016463.jpg,,,,,,,,,, +短毛紫菀,Aster brachytrichus,兰顺彬,131,19840814,云南省,2600,向阳山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01824884.jpg,,,,,,,,,, +短茎紫菀,Aster brevis,杨竞生,88-231,19880824,云南省,3850,丫口路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825832.jpg,,,,,,,,,, +短茎紫菀,Aster brevis,郭先林、郑宏一,2040580,20200717,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02040580.jpg,,,,,,,,,, +扁毛紫菀,Aster bulleyanus,彭华,H-滇云龙-Z 1268,20100730,云南省,3750,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885362.jpg,,,,,,,,,, +扁毛紫菀,Aster bulleyanus,H.T.Tsai,52038,19320915,云南省 ,0,,herb.,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0546353.jpg,,,,,,,,,, +,Aster crenatifolius,,31805,19580613,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716798.jpg,,,,,,,,,, +,Aster crenatifolius,中国科学院植物研究所黄河调查队,2251,19560800,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00286877.jpg,,,,,,,,,, +重冠紫菀,Aster diplostephioides,秦仁昌,1156,19560805,新疆维吾尔自治区,2500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115236.jpg,,,,,,,,,, +重冠紫菀,Aster diplostephioides,"X.H.Jin,Y.S.Chen et al.",DLJ-ET1863,20080713,西藏自治区,3770,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113466.jpg,,,,,,,,,, +重冠紫菀,Aster diplostephioides,D.E.Boufford et al.,34520,20050810,四川省,4060~4150,Ungrazed meadow.,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882359.jpg,,,,,,,,,, +长梗紫菀,Aster dolichopodus,D.E.Boufford et al,38946,20070804,四川省,3075~3525,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912898.jpg,,,,,,,,,, +长梗紫菀,Aster dolichopodus,孙学刚等,20010228,20010812,甘肃省,2450,路边田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798678.jpg,,,,,,,,,, +镰叶紫菀,Aster falcifolius,"王文广,黄义钧等",2352,20141024,四川省,1200,泥土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01905990.jpg,,,,,,,,,, +镰叶紫菀,Aster falcifolius,张志英,15140,19590914,甘肃省,850,山坡林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825743.jpg,,,,,,,,,, +镰叶紫菀,Aster falcifolius,"覃海宁,武建勇,吴振海等",18467,20041215,陕西省,600,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776703.jpg,,,,,,,,,, +狭苞紫菀,Aster farreri,,370,19640713,青海省,4400,山顶阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082938.jpg,,,,,,,,,, +狭苞紫菀,Aster farreri,D.E.Boufford et al,38674,20070730,四川省,3900~4150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912889.jpg,,,,,,,,,, +辉叶紫菀,Aster fulgidulus,罗建等,LuoJian-XZ-0908,20090613,西藏自治区,2543,林缘山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912814.jpg,,,,,,,,,, +辉叶紫菀,Aster fulgidulus,不祥,291,????????,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/202177.jpg,,,,,,,,,, +,Aster fulgidulus,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13074,3-Jun-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00385686.jpg,,,,,,,,,, +褐毛紫菀,Aster fuscescens var. fuscescens,武素功,8776,19640912,云南省,4400,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0043997.jpg,,,,,,,,,, +褐毛紫菀,Aster fuscescens var. fuscescens,白洪兵、李红,533324180918984LY,20180918,云南,3930,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010075.jpg,,,,,,,,,, +少毛褐毛紫菀,Aster fuscescens var. scaberoides,Gaoligong Shan Biodiversity Survey,31234,20060819,云南省,3150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772303.jpg,,,,,,,,,, +少毛褐毛紫菀,Aster fuscescens var. scaberoides,白洪兵、李红,533324180909772LY,20180909,云南,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009655.jpg,,,,,,,,,, +,Aster gouldii,PE西藏队,PE6728,20170916,西藏自治区,3568,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333984.jpg,,,,,,,,,, +,Aster gouldii,"刘成, 张挺, 亚吉东",18CS17445,20180910,西藏,4920,高山碎石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483915.jpg,,,,,,,,,, +红冠紫菀,Aster handelii,D.E.Boufford et al,30969,20040720,四川省,4070,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912888.jpg,,,,,,,,,, +红冠紫菀,Aster handelii,K.M.Feng,1675,19390717,云南省,,On open pasture,,有花无果,https://image.cvh.ac.cn/files/l/PE/00275786.jpg,,,,,,,,,, +横斜紫菀,Aster hersileoides,青藏队植被组,9491,19760807,西藏自治区,3100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519575.jpg,,,,,,,,,, +横斜紫菀,Aster hersileoides,,764,19640826,青海省,3700,河谷 陛地 农田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519569.jpg,,,,,,,,,, +横斜紫菀,Aster hersileoides,"姜恕,金存礼等",722,19590610,四川省,2180,岩石上散生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00275791.jpg,,,,,,,,,, +须弥紫菀,Aster himalaicus,青藏队植被组,12018,19760724,西藏自治区,5000~5300,水边Kobresia草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076948.jpg,,,,,,,,,, +须弥紫菀,Aster himalaicus,青藏队,14255,19830924,四川省,4000,山坡 高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190423.jpg,,,,,,,,,, +全茸紫菀,Aster hololachnus,青藏队植被组,11838,19760627,西藏自治区,5300,山沟水边草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076124.jpg,,,,,,,,,, +全茸紫菀,Aster hololachnus,,22397,19590713,云南省,3250,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825863.jpg,,,,,,,,,, +等苞紫菀,Aster homochlamydeus,张彩飞,1462,20081001,云南省,2800,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234707.jpg,,,,,,,,,, +等苞紫菀,Aster homochlamydeus,D.E. Boufford et al.,43238,20130825,四川省,3150~3240,"Gorge with steep slopes, running perpendicular to road and tributary of Suoqu He,throughout and large trees of Populus along stream,dry,moderate slope well above stream.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01919880.jpg,,,,,,,,,, +白背紫菀,Aster hypoleucus,"倪志诚,次多,次旦",2724,19820802,西藏自治区,3400,河谷阶地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836992.jpg,,,,,,,,,, +白背紫菀,Aster hypoleucus,Yarlung Zangbo Expedition Team,雅鲁藏布考察队,[YANG Yong,,729,20120807,西藏,3174,沙地,灌木,有花有果,https://image.cvh.ac.cn/files/l/BJM/246041.jpg,,,,,,,,,, +叶苞紫菀,Aster indamellus,青藏队,7158,19750801,西藏自治区,4000,山坡草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0044095.jpg,,,,,,,,,, +叶苞紫菀,Aster indamellus,"徐波, 陈光富, 陈林杨, 董金龙",SunH-07ZX-2087,20080930,西藏,,高山灌丛,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1367314.jpg,,,,,,,,,, +,Aster indicus var. indicus,熊豫宁,马振秀,5603,20121018,江苏省,,路边草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00599379.jpg,,,,,,,,,, +马兰,Aster indicus var. indicus,黄黎晗等,AU01630,20171011,福建,373,林下路边,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU083113.jpg,,,,,,,,,, +堇舌紫菀,Aster ionoglossus,青藏队植被组,5083,19750710,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519295.jpg,,,,,,,,,, +滇西北紫菀,Aster jeffreyanus,西师生74级,12064,19760708,四川省,2400,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825873.jpg,,,,,,,,,, +滇西北紫菀,Aster jeffreyanus,"李文华,胡勇",345,19810727,云南省,3450,湖旁山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823579.jpg,,,,,,,,,, +棉毛紫菀,Aster lanuginosus,青藏队横断山队,3871,19810806,四川省,4700,多石山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01536067.jpg,,,,,,,,,, +棉毛紫菀,Aster lanuginosus,青藏队,6693,19750806,西藏自治区,5400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/49488.jpg,,,,,,,,,, +宽苞紫菀,Aster latibracteatus,"韩裕丰,邓坤梅,陈永瑞",81-1030,19810705,云南省,2850,松林顶部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799367.jpg,,,,,,,,,, +,Aster latibracteatus,高云东,鞠文彬,杨焰,THP-KD-2005,20170717,四川省,4300~4400,子梅垭口附近流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252436.jpg,,,,,,,,,, +,Aster latibracteatus,高云东,鞠文彬,杨焰,THP-KD-2005,20170717,四川,4300~4400,流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252437.jpg,,,,,,,,,, +,Aster lavandulifolius,"Rock, J.F.",16273,28-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00413420.jpg,,,,,,,,,, +线叶紫菀,Aster lavandulifolius,张挺,郭永杰,吴之坤,姜虹,李贵能,16CS12676,20160822,四川,2354,雅砻江干热河谷公路边山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1434726.jpg,,,,,,,,,, +丽江紫菀,Aster likiangensis,"陈又生,毕延超",11-086,20110729,四川省,4046,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016690.jpg,,,,,,,,,, +丽江紫菀,Aster likiangensis,"陈又生,毕延超",11-105,20110808,云南省,4200,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909836.jpg,,,,,,,,,, +舌叶紫菀,Aster lingulatus,"D.E.Boufford,et al",35419,20060727,云南省,3280,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799218.jpg,,,,,,,,,, +舌叶紫菀,Aster lingulatus,青藏队,13434,19860826,四川省,3500~3600,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190432.jpg,,,,,,,,,, +大花紫菀,Aster megalanthus,"郎楷永,李良千,费勇",2824,19830806,四川省,4200,高山草甸与灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01536153.jpg,,,,,,,,,, +,Aster mongolicus,侯学煜,12548,19510820,内蒙古自治区,,盐土,,无花无果,https://image.cvh.ac.cn/files/l/PE/01580441.jpg,,,,,,,,,, +,Aster mongolicus,侯学煜,11881,19501003,辽宁省,140,山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01553026.jpg,,,,,,,,,, +蒙古马兰,Aster mongolicus,吴磊等,ZTS0091,2014年8月6号,山西省,1800~1600,山坡密林,,,https://image.cvh.ac.cn/files/l/BNU/001647.jpg,,,,,,,,,, +,Aster moupinsensis,T.P.Wang,12122,19391104,四川省,120,sandy beach of Yangtzukiang,,有花无果,https://image.cvh.ac.cn/files/l/PE/00287402.jpg,,,,,,,,,, +,Aster moupinsensis,"傅国勋,张志松",394,19570701,湖北省,,干沙滩草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00287399.jpg,,,,,,,,,, +,Aster moupinsensis,杨光辉,65558,19581022,重庆市,100,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00287400.jpg,,,,,,,,,, +新雅紫菀,Aster neoelegans,张林、李星月、张晓严,6-254,20180615,西藏,2845,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023565.jpg,,,,,,,,,, +石生紫菀,Aster oreophilus,"陈又生,毕延超",11-066,20110728,四川省,2792,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909834.jpg,,,,,,,,,, +石生紫菀,Aster oreophilus,"陈又生,毕延超",11-146,20110813,云南省,3198,grasslands,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909646.jpg,,,,,,,,,, +灰枝紫菀,Aster poliothamnus,"陈又生,张树仁,于胜祥,卫然",14,20111008,西藏自治区,4071,山谷干土坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016470.jpg,,,,,,,,,, +灰枝紫菀,Aster poliothamnus,"朱大海,张超,李小杰",4497,20070809,四川省,2450,路边,阳坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01884233.jpg,,,,,,,,,, +灰枝紫菀,Aster poliothamnus,王一峰等,94412,19940713,甘肃省,2000,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836982.jpg,,,,,,,,,, +灰毛紫菀,Aster polius,"应俊生,洪德元",651069,19650904,西藏自治区,3500,疏灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00287580.jpg,,,,,,,,,, +厚棉紫菀,Aster prainii,郎楷永,9609,19760705,西藏自治区,5200,山坡及河滩草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836944.jpg,,,,,,,,,, +厚棉紫菀,Aster prainii,"D.E.Boufford,et al",36156,20060809,四川省,4200~4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799226.jpg,,,,,,,,,, +,Aster pseudosimplex,鞠文彬,郑臣臣,THP-KD-6657,20170818,四川,3629,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250547.jpg,,,,,,,,,, +密叶紫菀,Aster pycnophyllus,陈又生,8052,20080815,云南省,2300,山谷溪边林缘草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113551.jpg,,,,,,,,,, +密叶紫菀,Aster pycnophyllus,FLPH Tibet Expedition,12-1654,20120919,西藏自治区,3305~3498,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967440.jpg,,,,,,,,,, +凹叶紫菀,Aster retusus,"倪志诚,次多,次旦",3083,19820819,西藏自治区,4000,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824920.jpg,,,,,,,,,, +凹叶紫菀,Aster retusus,"倪志诚,次多,次旦",3083,19820819,西藏,4000,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824919.jpg,,,,,,,,,, +,Aster ruoqiangensis,郑度,12640,19880821,新疆维吾尔自治区,4600~4700,草甸及岩屑坡间,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824939.jpg,,,,,,,,,, +若羌紫苑,Aster ruoqiangensis,刘全儒,ALT.403,20140801,新疆省,,荒漠,草本,,https://image.cvh.ac.cn/files/l/BNU/0027469.jpg,,,,,,,,,, +若羌紫菀,Aster ruoqiangensis,吴磊,吴娱,XJ0050,20130624,新疆,,,,,https://image.cvh.ac.cn/files/l/BNU/BNU0022460.jpg,,,,,,,,,, +怒江紫菀,Aster salwinensis,"X.H.Jin,Y.S.Chen,H.Q.Li etc.",DLJ-ET3295,20080719,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113493.jpg,,,,,,,,,, +怒江紫菀,Aster salwinensis,"徐连升,柯芮",150139,20150801,云南省,3673,山坡乱石堆,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084260.jpg,,,,,,,,,, +,Aster semiprostratus,PE西藏队,PE5630,20170901,西藏自治区,4556,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333913.jpg,,,,,,,,,, +半卧狗娃花,Aster semiprostratus,"张发起, 高庆波, 迟晓峰, 刑睿, 贾留坤, 夏铭泽",QXA0349,20170901,青海,3293,温带荒漠灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1444791.jpg,,,,,,,,,, +半卧狗娃花,Aster semiprostratus,路端正,,20010818,西藏,4700,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005906.jpg,,,,,,,,,, +狗舌紫菀,Aster senecioides,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",698,20021106,云南省,2530,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111300.jpg,,,,,,,,,, +狗舌紫菀,Aster senecioides,FLPH Sichuan Expedition,152192,20150905,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084254.jpg,,,,,,,,,, +狗舌紫菀,Aster senecioides,安明先,3637,20030717,贵州省,870,山坡荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01799820.jpg,,,,,,,,,, +,Aster setchuenensis,D. E. Boufford et al.,38338,20050727,四川省,3100~3300,on slope in open and in shade of shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/01894536.jpg,,,,,,,,,, +,Aster setchuenensis,何获平,45847,1956/9/17,,4200,,草本, 径直立有毛,有花无果,https://image.cvh.ac.cn/files/l/WUK/0242637.jpg,,,,,,,,,, +西固紫菀,Aster sikuensis,"杨金祥,胡志新",3466,19731015,甘肃省,870,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01822344.jpg,,,,,,,,,, +西固紫菀,Aster sikuensis,K.T.Fu,2127,19371021,四川省,2300,on dry bank of road,,有花无果,https://image.cvh.ac.cn/files/l/PE/00287671.jpg,,,,,,,,,, +甘川紫菀,Aster smithianus,J.Kirschner et al.,33,20110924,四川省,2660,Rocky slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912278.jpg,,,,,,,,,, +甘川紫菀,Aster smithianus,王淑茹,5,19650830,甘肃省,2400,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836261.jpg,,,,,,,,,, +缘毛紫菀,Aster souliei,PE西藏队,PE5433,20170830,西藏自治区,5067,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333903.jpg,,,,,,,,,, +缘毛紫菀,Aster souliei,"陈又生,毕延超",11-029,20110722,四川省,3940,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016688.jpg,,,,,,,,,, +匍生紫菀,Aster stracheyi,"陈又生,张树仁,于胜祥,卫然",260,20111110,西藏自治区,3141,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016631.jpg,,,,,,,,,, +匍生紫菀,Aster stracheyi,,425,19200426,广东省,,,,,https://image.cvh.ac.cn/files/l/IBK/IBK00346498.jpg,,,,,,,,,, +德钦紫菀,Aster techinensis,T.T.Yu,9828,19370827,云南省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00275895.jpg,,,,,,,,,, +,Aster techinensis,T. T. Yu,9828,1938,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00122339.jpg,,,,,,,,,, +,Aster tientschwanensis,"Chu, K.L.",3780,13-Jun-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00550819.jpg,,,,,,,,,, +东俄洛紫菀,Aster tongolensis,FLPH Sichuan Expedition,152626,20150910,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084259.jpg,,,,,,,,,, +东俄洛紫菀,Aster tongolensis,D.E.Boufford et al.,31482,20040801,西藏自治区,4320~4450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912822.jpg,,,,,,,,,, +东俄洛紫菀,Aster tongolensis,陈又生,11-114,20110808,云南省,3061,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909604.jpg,,,,,,,,,, +毛脉紫菀,Aster trichoneurus,王启无,70078,193509,云南省,2700,Ravine,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0044670.jpg,,,,,,,,,, +,Aster trichoneurus,C. W. Wang,70078,Sep-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00122495.jpg,,,,,,,,,, +,Aster trinervius subsp. ageratoides,FLPH Sichuan Expedition,152199,20150905,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084255.jpg,,,,,,,,,, +,Aster trinervius subsp. ageratoides,"石硕,梁文达",SZ4181,20141005,河北省,1384,水边林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064021.jpg,,,,,,,,,, +,Aster trinervius subsp. ageratoides,孔冬梅,k0481,20140725,山西省,2007,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035868.jpg,,,,,,,,,, +察瓦龙紫菀,Aster tsarungensis,"X.H.Jin,Y.S.Chen et al.",DLJ-ET1971,20080713,西藏自治区,4500,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113465.jpg,,,,,,,,,, +察瓦龙紫菀,Aster tsarungensis,,943,19720617,四川省,3500~4000,生于高山松林内或向阴林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830449.jpg,,,,,,,,,, +,Aster verticillatus,D.E. Boufford et al.,43578,20130918,云南省,2250,Mixed broadleaved evergreen and deciduous forest of mostly young trees and mixed shrubs in area of past disturbance.Along edge of woods in clay soil in open and in shade.,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919881.jpg,,,,,,,,,, +秋分草,Aster verticillatus,"刘成, 张挺, 亚吉东",18CS17480,20180911,西藏,1805,山坡竹林中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1483142.jpg,,,,,,,,,, +秋分草,Aster verticillatus,鞠文彬,张程,陈德奎,黎怀成,AZH00420,20150731,四川省,1627,河边林缘,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0235890.jpg,,,,,,,,,, +密毛紫菀,Aster vestitus,236任务组,783,19720814,四川省,3000,高山草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02085835.jpg,,,,,,,,,, +密毛紫菀,Aster vestitus,"税玉民,黄素华,陈文红",40538,20031121,云南省,1770,干坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882376.jpg,,,,,,,,,, +,Aster yunnanensis var. yunnanensis,D. E. Boufford et al.,33181,20050718,四川省,4250~4600,Abies and Rhododendron forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01894738.jpg,,,,,,,,,, +云南紫菀,Aster yunnanensis var. yunnanensis,弥渡普查队,5329251113,20120719,云南省,2113,,草本,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0018141.jpg,,,,,,,,,, +云南紫菀(原变种),Aster yunnanensis var. yunnanensis,谢登峰、蔡竞、秦换换,SC-00-024-A-042,20200828,四川,2647.01m,草原,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02063313.jpg,,,,,,,,,, +星果草,Asteropyrum peltatum,"刘金鉴,田景全",23,19631006,四川省,2400,路旁潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087639.jpg,,,,,,,,,, +星果草,Asteropyrum peltatum,Li-song Wang,69,20040406,云南省,1300,under evergreen broad-leaves forest along stream,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043172.jpg,,,,,,,,,, +中亚紫菀木,Asterothamnus centrali-asiaticus,,279,19580700,甘肃省,1280,戈壁滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836984.jpg,,,,,,,,,, +中亚紫菀木,Asterothamnus centrali-asiaticus,"郭本兆,王为义",11734,19750728,青海省,,戈壁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830119.jpg,,,,,,,,,, +灌木紫菀木,Asterothamnus fruticosus,刘冰,933,20070806,新疆维吾尔自治区,1457,荒漠,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043254.jpg,,,,,,,,,, +落新妇,Astilbe chinensis,黄河队,294,19540722,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067549.jpg,,,,,,,,,, +落新妇,Astilbe chinensis,红广渝,4015,20100730,四川省,1902,坡地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066322.jpg,,,,,,,,,, +落新妇,Astilbe chinensis,"石硕,梁文达",SZ4193,20141005,河北省,1404,路边灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02062411.jpg,,,,,,,,,, +狭叶落新妇,Astilbe rivularis var. angustifoliolata,"川西队,关克俭,王文采等",1451,19630801,四川省,3200,"山沟,林下,沼泽",,有花无果,https://image.cvh.ac.cn/files/l/PE/00861760.jpg,,,,,,,,,, +狭叶落新妇,Astilbe rivularis var. angustifoliolata,T.T.Yu,20411,19380924,云南省,1350,Margin of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00861754.jpg,,,,,,,,,, +,Astilbe rivularis var. angustifoliolata,张挺,杨湘云,李涟漪,14CS9601,20141108,云南,1280,河边箐沟灌丛,灌木,,https://image.cvh.ac.cn/files/l/KUN/1321163.jpg,,,,,,,,,, +,Astilbe rivularis var. rivularis,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11811,20161109,西藏,2043,河谷杂木林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452074.jpg,,,,,,,,,, +溪畔落新妇(原变种),Astilbe rivularis var. rivularis,张桥蓉,蒋婷,李国辉,王昆仑,ZhangYH157,20191130,云南,2362,路边潮湿处,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1489105.jpg,,,,,,,,,, +腺萼落新妇,Astilbe rubra,张红瑞等,25,20130729,吉林省,659,落叶松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977827.jpg,,,,,,,,,, +腺萼落新妇,Astilbe rubra,罗建等,LuoJian-XZ-0933,20091005,西藏自治区,2885,林缘灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898333.jpg,,,,,,,,,, +腺萼落新妇,Astilbe rubra,中美联合鄂西考察队,75,19800825,湖北省,1700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00996171.jpg,,,,,,,,,, +,Astragalus acaulis,"关克俭,王文采等",1065,19630729,四川省,4000,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839094.jpg,,,,,,,,,, +,Astragalus acaulis,,7058,19750623,西藏自治区,4260,山地阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804060.jpg,,,,,,,,,, +,Astragalus acaulis,"韩裕丰,邓坤梅,陈永瑞",81-1503,19810806,云南省,3800,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490433.jpg,,,,,,,,,, +,Astragalus anfractuosus,"Hooker, J.D.",,,,,,,,https://image.cvh.ac.cn/files/l/P/P00584404.jpg,,,,,,,,,, +,Astragalus arkalycensis,L.R.Xu,,19900600,宁夏回族自治区,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00461031.jpg,,,,,,,,,, +,Astragalus arkalycensis,W.Y.Hsia,3940,19330829,,1700,Dry slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278632.jpg,,,,,,,,,, +,Astragalus arkalycensis,杨昌友,488,19610518,新疆维吾尔自治区,600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00184422.jpg,,,,,,,,,, +灌县黄耆,Astragalus arnoldianus,Wilson,3797,,四川; SZECHWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00047618.jpg,,,,,,,,,, +,Astragalus arnoldii,郭柯,K-73,19900626,青海省,4770,砂砾质河阶地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045222.jpg,,,,,,,,,, +,Astragalus arnoldii,"清水建美,近田文弘等",125,19910723,新疆维吾尔自治区,2100,山坡 垭口草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01467726.jpg,,,,,,,,,, +,Astragalus arnoldii,"张永田,郞楷永",3687,19660527,西藏自治区,4900,河滩山坡草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00279477.jpg,,,,,,,,,, +,Astragalus aurantiacus,徐朗然,1294,19870411,甘肃省,1000,沙质坡麓,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279680.jpg,,,,,,,,,, +,Astragalus aurantiacus,西植新疆队,1686,19780727,新疆维吾尔自治区,2730,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279056.jpg,,,,,,,,,, +,Astragalus aurantiacus,张珍万,1926,19630702,青海省,2890,沙丘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279011.jpg,,,,,,,,,, +漠北黄耆,Astragalus austrosibiricus,吴玉虎等,6931,19900817,青海省,3190,林缘较旱处,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00013543.jpg,,,,,,,,,, +漠北黄耆,Astragalus austrosibiricus,秦仁昌,1150,1956-8 2,新疆自治区,2500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0056355.jpg,,,,,,,,,, +漠北黄耆,Astragalus austrosibiricus,,,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00025865.jpg,,,,,,,,,, +黄芪属,Astragalus austrotibetanus,杨竞生,89-006,19891003,西藏自治区,3670,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00278786.jpg,,,,,,,,,, +,Astragalus balfourianus,,试13,19820721,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802494.jpg,,,,,,,,,, +,Astragalus balfourianus,"朱世新,康云",68,20020901,云南省,3550~3570,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00798295.jpg,,,,,,,,,, +,Astragalus basiflorus,黄河队,3118,19550908,山西省,800~900,山坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01996585.jpg,,,,,,,,,, +,Astragalus basiflorus,何兴金,冯图,廖晨阳,袁书杰,SCU-080327,20080817,四川,2883,路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1318811.jpg,,,,,,,,,, +,Astragalus basiflorus,陈世龙,张得钧,高庆波,张发起,ChenSL0035,20080722,青海,2950,河滩地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1318812.jpg,,,,,,,,,, +,Astragalus batangensis,"张泽荣,周洪富",22214,19570617,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490902.jpg,,,,,,,,,, +,Astragalus batangensis,"韩裕丰,邓坤梅,陈永瑞",81-1790,19810825,云南省,2900,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490457.jpg,,,,,,,,,, +斑果黄耆,Astragalus beketowii,,6109,63.07.03,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00025879.jpg,,,,,,,,,, +斑果黄耆,Astragalus beketowii,,6109,630703,,,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20004400.jpg,,,,,,,,,, +地八角,Astragalus bhotanensis,红水河植物考察队,2023,19890603,云南省,1800,石灰岩疏林灌丛山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996583.jpg,,,,,,,,,, +地八角,Astragalus bhotanensis,牧草组,78,19580526,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827049.jpg,,,,,,,,,, +地八角,Astragalus bhotanensis,孙学刚等,2543,20010723,甘肃省,2820,沟谷山坡林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791944.jpg,,,,,,,,,, +波密黄芪,Astragalus bomiensis,生态室高原组,15685,19800920,西藏自治区,3100,阴坡 山麓 灌丛草原,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495234.jpg,,,,,,,,,, +波密黄芪,Astragalus bomiensis,北京所横断山队,3135,19810817,云南省,3400,高山栎 云杉 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487572.jpg,,,,,,,,,, +,Astragalus borodinii,徐朗然,2022,19980723,新疆维吾尔自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01710270.jpg,,,,,,,,,, +东天山黄耆,Astragalus borodinii,,,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00025883.jpg,,,,,,,,,, +,Astragalus brevialatus,青藏科考队,12305,19760708,西藏自治区,3600,水沟边沙石地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432657.jpg,,,,,,,,,, +,Astragalus brevialatus,T.T.Yü,7666,,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490465.jpg,,,,,,,,,, +,Astragalus brevialatus,,2394,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278741.jpg,,,,,,,,,, +,Astragalus caeruleopetalinus,青藏队,73-268,19730621,西藏自治区,3300,河边陡陂砂土上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432584.jpg,,,,,,,,,, +,Astragalus caeruleopetalinus,青藏队,14513,19830907,四川省,3800,Aboes 林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490470.jpg,,,,,,,,,, +,Astragalus chagyabensis,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-154-B15,20190826,四川,3169,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261283.jpg,,,,,,,,,, +,Astragalus chaidamuensis,何小兰,522,19890713,青海省,1900,滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279691.jpg,,,,,,,,,, +,Astragalus chaidamuensis,,1520,19640814,甘肃省,2550,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00279517.jpg,,,,,,,,,, +樟木黄芪,Astragalus changmuicus,西藏中草药普查队,1499,19720826,西藏自治区,3300,林区公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804084.jpg,,,,,,,,,, +,Astragalus changmuicus,陈家辉,韩希,王东超,王广艳,杨大松,李资磊,张春林,陶云芬,YangYP-Q-4299,20110909,西藏,3634,砂质地,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1318817.jpg,,,,,,,,,, +祁连山黄芪,Astragalus chilienshanensis,钟补求等,8621,19580729,青海省,3500,山坡沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432585.jpg,,,,,,,,,, +,Astragalus chilienshanensis,郭淑青,杜品,LiuJQ-2012-GN-043,20120821,甘肃,3222,温带落叶阔叶林林缘,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1318808.jpg,,,,,,,,,, +,Astragalus chilienshanensis,吴玉虎,LJQ-QLS-2008-0109,20080726,青海,3250,阴坡灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1318809.jpg,,,,,,,,,, +,Astragalus chiukiangensis,王启无,68036,19350700,云南省,3200,Mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490490.jpg,,,,,,,,,, +,Astragalus chiukiangensis,胡光万,唐贵华,赵富伟,赵大克,HGW-00465,20090820,云南,3301,高原灌叶林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1318818.jpg,,,,,,,,,, +,Astragalus chrysopterus,孙学刚等,20010290,20010815,甘肃省,2500,沟谷灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833812.jpg,,,,,,,,,, +,Astragalus chrysopterus,58年秦岭队,10702,19580914,陕西省,2700,阳处 岩石旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01812620.jpg,,,,,,,,,, +克拉克黄芪,Astragalus clarkeanus,武素功、吴玉虎、费勇,4871,19890812,新疆维吾尔自治区,4600,greenish purple,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00009316.jpg,,,,,,,,,, +,Astragalus coluteocarpus,青藏队植被组,12879,19760629,西藏自治区,3500,河滩谷田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804077.jpg,,,,,,,,,, +,Astragalus coluteocarpus,"李安仁,朱家楠",6939,19580803,新疆维吾尔自治区,1825,石山,,无花有果,https://image.cvh.ac.cn/files/l/PE/00185944.jpg,,,,,,,,,, +白花丛生黄耆,Astragalus confertus f. albiflorus,武素功 黄荣福 杨永平,K-865,19900725,青海省,4800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/165100.jpg,,,,,,,,,, +,Astragalus craibianus,汤宗孝等,585,19810715,云南省,4550,高山草甸山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802489.jpg,,,,,,,,,, +,Astragalus craibianus,Harry Smith,3315,19220721,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00185040.jpg,,,,,,,,,, +,Astragalus crassifolius,王启无,66051,19350000,西藏自治区,3800,草坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00490516.jpg,,,,,,,,,, +,Astragalus crassifolius,青藏队,3859,19810806,四川省,4600,多石山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00490513.jpg,,,,,,,,,, +,Astragalus crassifolius,George Forrest,30759,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00185042.jpg,,,,,,,,,, +大板山黄芪,Astragalus dabanshanicus,张志和,4408,19890809,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/169672.jpg,,,,,,,,,, +,Astragalus datunensis,钟补求,8987,19580718,青海省,3800,山溪 岩隙,,有花无果,https://image.cvh.ac.cn/files/l/PE/00185322.jpg,,,,,,,,,, +大通黄耆,Astragalus datunensis,钟补求,8987,19580000,甘肃省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0589552.jpg,,,,,,,,,, +,Astragalus degensis,四川植物标本,9344,19750718,四川省,3700,谷坡中部暗针叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490911.jpg,,,,,,,,,, +,Astragalus degensis,王启无,66463,19350900,西藏自治区,3500,Oak wood,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490520.jpg,,,,,,,,,, +,Astragalus degensis,王启无,69976,19350900,云南省,2700,Mountain slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00490519.jpg,,,,,,,,,, +,Astragalus dependens,何叶祺,4130,19590711,甘肃省,2400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279569.jpg,,,,,,,,,, +,Astragalus dependens,"郭本兆,王为义",11289,19750712,青海省,3290,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00185388.jpg,,,,,,,,,, +定结黄芪,Astragalus dingjiensis,青藏队,5701,19750611,西藏自治区,4800,山坡岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432469.jpg,,,,,,,,,, +定结黄耆,Astragalus dingjiensis,王清泉,22121,19800530,四川省,2200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0167946.jpg,,,,,,,,,, +定结黄耆,Astragalus dingjiensis,张林、李星月、张晓严,3-301,20180617,西藏,3614,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023533.jpg,,,,,,,,,, +,Astragalus dschimensis,新疆采集队,535,19780618,新疆维吾尔自治区,1960,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00279819.jpg,,,,,,,,,, +,Astragalus dschimensis,Br.Touocnorwb.,,19560610,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00185470.jpg,,,,,,,,,, +,Astragalus dumetorum,邱炳云,54887,19570822,云南省,2380,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278617.jpg,,,,,,,,,, +,Astragalus dumetorum,青藏队补点组,750504,19750704,西藏自治区,3060,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00185473.jpg,,,,,,,,,, +,Astragalus dumetorum,何兴金,廖晨阳,任海燕,袁书杰,SCU-09-462,20090824,四川,3608,路边,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1318830.jpg,,,,,,,,,, +,Astragalus ernestii,畜牧系草原二组,s.n.,19820721,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802491.jpg,,,,,,,,,, +,Astragalus ernestii,汤宗孝等,497,19810703,云南省,3650,山坡灌丛下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01802490.jpg,,,,,,,,,, +,Astragalus euchlorus,青藏队,11710,19830629,四川省,2700,山坡常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490566.jpg,,,,,,,,,, +,Astragalus falconeri,青藏队,76-8472,19760716,西藏自治区,3750,山坡砂砾坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00185570.jpg,,,,,,,,,, +,Astragalus floridulus,D.E.Boufford et al.,35753,20060805,四川省,4240,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01983704.jpg,,,,,,,,,, +,Astragalus floridulus,D.E.Boufford et al.,31350,20040730,西藏自治区,3850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01983702.jpg,,,,,,,,,, +,Astragalus floridulus,地方生物组,1372,19620702,青海省,2800,路边田地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00279828.jpg,,,,,,,,,, +,Astragalus forrestii,青藏队,1396,19710623,云南省,3300~3400,高山松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490608.jpg,,,,,,,,,, +,Astragalus forrestii,蒋兴麟,36576,19530810,四川省,4300,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490609.jpg,,,,,,,,,, +,Astragalus frigidus,刘慎谔,3250,19310816,新疆维吾尔自治区,2000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01153853.jpg,,,,,,,,,, +,Astragalus frigidus,中甸队,1760,19620831,云南省,4000,矮杜鹃灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490614.jpg,,,,,,,,,, +,Astragalus frigidus,S.Kharkevich,,19770811,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00461245.jpg,,,,,,,,,, +,Astragalus galactites,"刘冰,刘夙",644,20070519,内蒙古自治区,1378,沙化典草原,,无花有果,https://image.cvh.ac.cn/files/l/PE/01952434.jpg,,,,,,,,,, +,Astragalus galactites,C.Davaeamc et P.Hanelt,1169,19620630,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598144.jpg,,,,,,,,,, +,Astragalus graveolens,"李渤生,李辉",14261,19901013,西藏自治区,3300,Abies 林下时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01364531.jpg,,,,,,,,,, +,Astragalus graveolens,茂汶组,2515,19590611,四川省,270~300,草坡,夹槽中生,有差伦,具母同生,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490615.jpg,,,,,,,,,, +,Astragalus graveolens,滇西北金沙江队,6453,19630811,云南省,1300~1500,金沙滩砂质田地边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00279561.jpg,,,,,,,,,, +贵南黄耆,Astragalus guinanicus,吴玉虎等,18969,20000827,青海省,0~2600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0232361.jpg,,,,,,,,,, +,Astragalus habamontis,王启无,70880,19350700,云南省,2500,Ravine,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490899.jpg,,,,,,,,,, +哈巴山黄耆,Astragalus habamontis,海仙、谢爱芳,LCJ-110,20100905,云南,3794,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008445.jpg,,,,,,,,,, +,Astragalus habamontis,K. M. Feng,1275,1939/6/10,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00147430.jpg,,,,,,,,,, +,Astragalus handelii,"南水北调队,姜恕,应俊生等",9054,19610619,四川省,3900,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490617.jpg,,,,,,,,,, +,Astragalus handelii,郭本兆,9083,19710612,青海省,,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00185868.jpg,,,,,,,,,, +,Astragalus handelii,何叶祺,4437,19590707,甘肃省,2700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00185865.jpg,,,,,,,,,, +,Astragalus henryi,鄂神农架队,21546,19760716,湖北省,2000,岩石缝,,有花有果,https://image.cvh.ac.cn/files/l/PE/01010088.jpg,,,,,,,,,, +,Astragalus henryi,杨光辉,58928,19580721,重庆市,2600,岩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278523.jpg,,,,,,,,,, +,Astragalus heterodontus,中国科学院新疆综合考察队,444,19590601,新疆维吾尔自治区,3700,河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278569.jpg,,,,,,,,,, +,Astragalus heterodontus,Ju.Gusev et S.Ikonnikov,,19580623,,3600~4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00185908.jpg,,,,,,,,,, +,Astragalus hoantchy,何叶祺,3672,19590630,甘肃省,2200,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01610908.jpg,,,,,,,,,, +,Astragalus hoantchy,徐朗然,1580,19900522,宁夏回族自治区,2000,河谷干河滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/00461061.jpg,,,,,,,,,, +,Astragalus hoantchy,何叶祺,2913,19590603,内蒙古自治区,2250,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279622.jpg,,,,,,,,,, +,Astragalus kialensis,青藏队,10970,19821005,西藏自治区,3500,山坡云南松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490904.jpg,,,,,,,,,, +,Astragalus kialensis,王启无,70281,19350900,云南省,2700,Mountain slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00490647.jpg,,,,,,,,,, +,Astragalus kialensis,,23305,19570802,四川省,2650,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00490636.jpg,,,,,,,,,, +,Astragalus kukunoricus,张珍万,2377,19630714,青海省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279451.jpg,,,,,,,,,, +,Astragalus kukunoricus,关克俭,2076,19570721,新疆维吾尔自治区,2900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00186872.jpg,,,,,,,,,, +,Astragalus kunlunensis,青藏队,1244,19870827,新疆维吾尔自治区,4960,干沙砾滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278963.jpg,,,,,,,,,, +,Astragalus kuschakewiczii,刘炎林等,1,20050702,新疆维吾尔自治区,4500~5200,高寒荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/01514520.jpg,,,,,,,,,, +,Astragalus kuschakewiczii,杨永昌,843,19650526,青海省,3750,农田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00186748.jpg,,,,,,,,,, +毛果黄耆,Astragalus lasiosemius,西植新疆队,178,1978/7/30,新疆维吾尔族自治区,3020,,小灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0335976.jpg,,,,,,,,,, +毛果黄耆,Astragalus lasiosemius,新疆采集队,1787,19780730,新疆维吾尔自治区,3020,山坡,小灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0332934.jpg,,,,,,,,,, +,Astragalus latiunguiculatus,"张秀实,任有铣",5497,19580618,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278425.jpg,,,,,,,,,, +宽爪黄耆,Astragalus latiunguiculatus,省畜牧研究所,13,19640409,,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00116889.jpg,,,,,,,,,, +,Astragalus lessertioides,C.S.Chang et al.,SI0986,20100702,四川省,3056,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924413.jpg,,,,,,,,,, +,Astragalus lessertioides,王启无,69524,19350900,云南省,3500,Mountain slope crevice,,无花有果,https://image.cvh.ac.cn/files/l/PE/00490643.jpg,,,,,,,,,, +洛隆黄芪,Astragalus lhorongensis,"朱相云,杜玉芬",20068,20000808,西藏自治区,3100,干旱山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00279977.jpg,,,,,,,,,, +,Astragalus licentianus,,472,19600000,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279333.jpg,,,,,,,,,, +,Astragalus licentianus,王一峰等,94372,19940712,甘肃省,3350,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279228.jpg,,,,,,,,,, +,Astragalus lucidus,"张经炜,王金亭",505,19660630,西藏自治区,2100,公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01539193.jpg,,,,,,,,,, +,Astragalus lucidus,"张经炜,王金亭",505,19660630,,2100,公路边.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00055395.jpg,,,,,,,,,, +,Astragalus luteolus,孙学刚等,20010347,20010815,甘肃省,3050,山坡糙皮桦林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01791942.jpg,,,,,,,,,, +,Astragalus luteolus,"何铸,周子林",13729,19520000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490655.jpg,,,,,,,,,, +,Astragalus luteolus,,13411,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00186202.jpg,,,,,,,,,, +,Astragalus macropterus,周太炎等,650280,19650510,新疆维吾尔自治区,,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279002.jpg,,,,,,,,,, +,Astragalus macropterus,W.Lipsky,126,19090629,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00186120.jpg,,,,,,,,,, +马衔山黄芪,Astragalus mahoschanicus,刘振书,1309,19340824,四川省,4760,Mt.slope open place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490659.jpg,,,,,,,,,, +马衔山黄芪,Astragalus mahoschanicus,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",1146,19930811,青海省,4040,On flood plane of Hunag He with terraces of pebbles and sandy areas.Amongst pebbles,,有花有果,https://image.cvh.ac.cn/files/l/PE/00445590.jpg,,,,,,,,,, +马衔山黄芪,Astragalus mahoschanicus,河西队,333,19670823,甘肃省,3800,蒿草球秆蓼草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/00279832.jpg,,,,,,,,,, +,Astragalus malcolmii,郭柯,k-166,19900801,青海省,4870,河滩 砾石质滩地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01606108.jpg,,,,,,,,,, +,Astragalus malcolmii,"T.Naito, K.Y.Lang, Y.Tateishi, T.Nemoto & B.S.Li",1376,19860525,西藏自治区,4700~4900,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00186165.jpg,,,,,,,,,, +黄芪属,Astragalus matiensis,,419,19640714,青海省,3850,西南坡及沟谷内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279273.jpg,,,,,,,,,, +大花茵垫黄耆,Astragalus mattam var. macroflorus,吴玉虎,36926,20060713,青海省,4767,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0233923.jpg,,,,,,,,,, +,Astragalus melanostachys,西植新疆队,1122,1978/7/7,新疆维吾尔族自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0334332.jpg,,,,,,,,,, +黑穗黄耆,Astragalus melanostachys,四川植被队,15072,1977-6 1,四川省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0056565.jpg,,,,,,,,,, +,Astragalus melilotoides,陈全胜,CF11-4216,20180702,内蒙古自治区,681,石质山地草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247255.jpg,,,,,,,,,, +,Astragalus melilotoides,周口店考察队,219,20080927,北京市,126,灌草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112234.jpg,,,,,,,,,, +,Astragalus melilotoides,云台山采集队,1122,20090800,河南省,1000~1100,路边林下草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044904.jpg,,,,,,,,,, +民和黄耆,Astragalus minhensis,刘尚武,2956,19890717,青海省,2500,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00020974.jpg,,,,,,,,,, +,Astragalus minshanensis,"郭本兆,王为义",12234,19750827,青海省,3700,阴坡灌丛林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00279256.jpg,,,,,,,,,, +米亚罗黄芪,Astragalus miyalomontis,姜恕,7151,19610530,四川省,2720,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432486.jpg,,,,,,,,,, +,Astragalus monadelphus,孙学刚等,20010576,20010823,甘肃省,2900,山坡灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01808682.jpg,,,,,,,,,, +,Astragalus monadelphus,四川植物标本,5577,19740713,四川省,4180,阴暗针叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490671.jpg,,,,,,,,,, +,Astragalus monadelphus,何小兰,1160,19890724,青海省,3200,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279707.jpg,,,,,,,,,, +,Astragalus monbeigii,王大成,23,19830918,四川省,4300,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490800.jpg,,,,,,,,,, +,Astragalus monbeigii,青藏队,2327,19810710,云南省,3300,黄栎林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490679.jpg,,,,,,,,,, +,Astragalus mongholicus,徐连升,X140110,20140819,黑龙江省,351,林下湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038200.jpg,,,,,,,,,, +,Astragalus mongholicus,王文中,153,19550803,山西省,2450,山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851969.jpg,,,,,,,,,, +,Astragalus mongholicus,C.Davaeamc et P.Hanelt,1113,19620624,,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597866.jpg,,,,,,,,,, +,Astragalus monophyllus,,,19690803,新疆维吾尔自治区,1630,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00279276.jpg,,,,,,,,,, +一叶黄耆,Astragalus monophyllus,周太炎,651326,19650809,新疆维吾尔自治区 ,1850,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0168047.jpg,,,,,,,,,, +一叶黄耆,Astragalus monophyllus,西植新疆队,4,1978/5/15,甘肃,,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0331173.jpg,,,,,,,,,, +,Astragalus muliensis,PE西藏队,PE6607,20170914,西藏自治区,3934,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333952.jpg,,,,,,,,,, +,Astragalus muliensis,北京所横断山队,3740,19810825,云南省,3600~3800,冷 云杉 林内灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487573.jpg,,,,,,,,,, +,Astragalus munroi,徐朗然,1393,19870909,新疆维吾尔自治区,3600,高寒草原疏松坡积物,,无花有果,https://image.cvh.ac.cn/files/l/PE/00279781.jpg,,,,,,,,,, +,Astragalus munroi,青藏队,76-8116,19760630,西藏自治区,3600,山坡砂砾地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00186840.jpg,,,,,,,,,, +朗县黄芪,Astragalus nangxianensis,青藏科考队 林业组,2001,19750920,西藏自治区,3200,半干旱,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432758.jpg,,,,,,,,,, +,Astragalus nangxianensis,罗建,汪书丽,任德智,L053,20100903,西藏,3132,村边草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1318915.jpg,,,,,,,,,, +,Astragalus nematodioides,"李渤生,郑度,郭柯,张百平",11643,19880617,新疆维吾尔自治区,2400~2900,草甸草原山地草原中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278727.jpg,,,,,,,,,, +,Astragalus nematodioides,青藏队,9010,19760812,西藏自治区,5100,石灰岩碎石坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0600076.jpg,,,,,,,,,, +,Astragalus nivalis,杜庆等,209,19810723,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01805043.jpg,,,,,,,,,, +,Astragalus nivalis,徐朗然,2038,19980804,新疆维吾尔自治区,2100,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710267.jpg,,,,,,,,,, +,Astragalus nivalis,,770188,19770710,,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279264.jpg,,,,,,,,,, +,Astragalus oplites,生物研究所西藏考察队,4018,19740818,西藏自治区,3900,崖边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00278379.jpg,,,,,,,,,, +,Astragalus oplites,,41,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00187023.jpg,,,,,,,,,, +圆叶黄芪,Astragalus orbicularifolius,青藏队,6724,19750809,西藏自治区,550,山砾石坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432490.jpg,,,,,,,,,, +,Astragalus pamirensis,中国科学院新疆综合考察队,216,19590610,新疆维吾尔自治区,2500,草原化荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279631.jpg,,,,,,,,,, +,Astragalus pamirensis,"郑度,郭柯",11651,19880618,青海省,4400,山间河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279627.jpg,,,,,,,,,, +,Astragalus pamirensis,K.Stanjukovicz,,19360807,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00186953.jpg,,,,,,,,,, +,Astragalus peduncularis,郑斯绪,301,19600617,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00460939.jpg,,,,,,,,,, +,Astragalus peduncularis,傅沛云,714,19590712,吉林省,,水流旁湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278555.jpg,,,,,,,,,, +青藏黄耆,Astragalus peduncularis,青藏队植被组,12897,19760629,西藏自治区,3520,河岸,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0535324.jpg,,,,,,,,,, +,Astragalus peterae,吴玉虎,LJQ-QLS-2008-0112,20080726,青海,3250,阴坡灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1318924.jpg,,,,,,,,,, +线苞黄耆,Astragalus peterae,青藏队,2564,19740915,西藏自治区,3100,山坡乔松林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0600164.jpg,,,,,,,,,, +线苞黄耆,Astragalus peterae,郭本兆,9465,19710812,青海省,0,山脊草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0600157.jpg,,,,,,,,,, +,Astragalus polyacanthus,青藏队植被组,4042,19750619,西藏自治区,3600,卡达河北岸阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00055432.jpg,,,,,,,,,, +,Astragalus polycladus,泛喜马拉雅植物志巴基斯坦采集队,FPH-1383,20120909,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004949.jpg,,,,,,,,,, +,Astragalus polycladus,"田,张",49(7),19810723,云南省,3750,盆地草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802503.jpg,,,,,,,,,, +,Astragalus polycladus,田效文,998,19830609,四川省,2600,山坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01140295.jpg,,,,,,,,,, +,Astragalus porphyrocalyx,陈世龙,张得钧,高庆波等,ChenSL0083,20080724,青海,4180,草原,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1318968.jpg,,,,,,,,,, +紫萼黄耆,Astragalus porphyrocalyx,青藏队,8005,19760612,西藏自治区,4100,山坡灌丛,砂砾地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0600248.jpg,,,,,,,,,, +紫萼黄耆,Astragalus porphyrocalyx,杨竞生,107,19900707,四川省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0600249.jpg,,,,,,,,,, +,Astragalus przewalskii,D.E.Boufford et al.,36686,20060817,四川省,4025,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01983706.jpg,,,,,,,,,, +,Astragalus przewalskii,钟志宇,311,19930711,甘肃省,2800,沟谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01833764.jpg,,,,,,,,,, +,Astragalus pseudoversicolor,青藏队,5219,19810831,西藏自治区,2750,山脊羊蹄甲灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490751.jpg,,,,,,,,,, +,Astragalus pseudoversicolor,崔友文,4932,19510720,四川省,,河原,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490749.jpg,,,,,,,,,, +茸毛黄耆,Astragalus puberulus,何叶祺,3610,19590630,甘肃省,2300,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0159662.jpg,,,,,,,,,, +,Astragalus pullus,李文华等,81-370,19810727,云南省,3450,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802484.jpg,,,,,,,,,, +,Astragalus pullus,T.T.Yü,12996,19370829,四川省,3700,Grassland along side of me stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490754.jpg,,,,,,,,,, +,Astragalus pulvinatus,郭柯,K-105,19900702,青海省,5030,玄武岩台地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045230.jpg,,,,,,,,,, +,Astragalus pulvinatus,张经炜,2585,19610610,西藏自治区,4650,平原,,无花无果,https://image.cvh.ac.cn/files/l/PE/01804090.jpg,,,,,,,,,, +,Astragalus pulvinatus,A.Vvedensky,,19270720,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00187199.jpg,,,,,,,,,, +淡紫花黄耆,Astragalus purpurinus,何叶琪,4040,19590709,甘肃省,2600,山沟沟旁,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0155458.jpg,,,,,,,,,, +淡紫花黄耆,Astragalus purpurinus,杨容,YR20160802-2,20160802,陕西省,,路边,,,https://image.cvh.ac.cn/files/l/BNU/0027127.jpg,,,,,,,,,, +凹叶黄芪,Astragalus retusifoliatus,徐朗然,195,1981/10/23,四川省,2500,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0423708.jpg,,,,,,,,,, +,Astragalus rigidulus,青藏科考队,12479,19760725,西藏自治区,3800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490777.jpg,,,,,,,,,, +,Astragalus rigidulus,"郎楷永,李良千,费勇",2019,19830625,四川省,3300,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490775.jpg,,,,,,,,,, +,Astragalus satoi,G.Sato,8893,19260805,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00187240.jpg,,,,,,,,,, +,Astragalus satoi,佐藤润平,228,19280910,黑龙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00187239.jpg,,,,,,,,,, +,Astragalus satoi,科学院黄河队甘一队,1788,19560000,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00187243.jpg,,,,,,,,,, +,Astragalus saxorum,四川省植被调查队,3915,19730917,西藏自治区,2650,干旱河谷山坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490787.jpg,,,,,,,,,, +,Astragalus saxorum,,126(10),19830802,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490785.jpg,,,,,,,,,, +,Astragalus saxorum,杨竞生,88-206,19880824,云南省,2450,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00278608.jpg,,,,,,,,,, +糙叶黄芪,Astragalus scaberrimus,黄河队,5683,19560802,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082143.jpg,,,,,,,,,, +糙叶黄芪,Astragalus scaberrimus,中苏队,特别号,19590000,内蒙古自治区,,山前平原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078650.jpg,,,,,,,,,, +糙叶黄芪,Astragalus scaberrimus,石硕,SZ3464,20140512,河北省,1249,田边 草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/02031782.jpg,,,,,,,,,, +,Astragalus sedaensis,伍典汉,6635,19740724,四川省,4300,阳坡草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490793.jpg,,,,,,,,,, +色达黄耆,Astragalus sedaensis,郭友好,526,19770811,陕西省,2850,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0168099.jpg,,,,,,,,,, +,Astragalus semicircularis,王启无,66344,19350900,西藏自治区,3000,stream side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00012579.jpg,,,,,,,,,, +,Astragalus semicircularis,C. W. Wang,66344,Sep-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00149739.jpg,,,,,,,,,, +,Astragalus sinicus,"董洪进,王泽欢,尹志坚",WM-0269,20160428,云南省,1100~1400,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090357.jpg,,,,,,,,,, +,Astragalus sinicus,巴山采集队,3740,20100731,四川省,2100,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059410.jpg,,,,,,,,,, +,Astragalus sinicus,"Myounghai Kwak,Ja-Ram Hong",SMD140271,20140618,,5,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045062.jpg,,,,,,,,,, +,Astragalus skythropos,"郎楷永,李良千,费勇",266,19820627,四川省,3500~3700,河谷边滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490797.jpg,,,,,,,,,, +,Astragalus skythropos,刘尚武,2992,19890720,青海省,3400,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00460987.jpg,,,,,,,,,, +,Astragalus skythropos,汤宗孝,576,19820802,西藏自治区,4400,高山草甸山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279551.jpg,,,,,,,,,, +,Astragalus smithianus,杨永昌,1307,19650727,青海省,4900,山顶流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804050.jpg,,,,,,,,,, +无毛叶黄耆,Astragalus smithianus,朱太昌,20442,19790611,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0163309.jpg,,,,,,,,,, +无毛黄芪,Astragalus smithianus,徐朗然,542,1982/8/30,西藏自治区,4400,,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0435774.jpg,,,,,,,,,, +,Astragalus souliei,张兆清,93-247,19930830,四川省,3450,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01610910.jpg,,,,,,,,,, +,Astragalus stalinskyi,崔乃然,9606071,19960615,新疆维吾尔自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00279774.jpg,,,,,,,,,, +,Astragalus stalinskyi,V.Goloskokov,,19630528,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00187690.jpg,,,,,,,,,, +,Astragalus stipulatus,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-2078,20130824,西藏自治区,400,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992074.jpg,,,,,,,,,, +大托叶黄耆,Astragalus stipulatus,四川经济植物考察队,91,1959-4 2,四川省,900,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0077706.jpg,,,,,,,,,, +大托叶黄芪,Astragalus stipulatus,张志翔,赵良成等,DFB119324,20200806,西藏,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00099641.jpg,,,,,,,,,, +,Astragalus strictus,"孙世洲,杜庆",539,19810916,青海省,,庥达木盆地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098940.jpg,,,,,,,,,, +,Astragalus strictus,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1283,20130815,西藏自治区,5000,高寒荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992168.jpg,,,,,,,,,, +,Astragalus sungpanensis,D.E.Boufford et al.,35346,20060726,云南省,3190,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01983696.jpg,,,,,,,,,, +,Astragalus sungpanensis,李馨,74454,19570905,四川省,3550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820438.jpg,,,,,,,,,, +,Astragalus sungpanensis,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802480.jpg,,,,,,,,,, +,Astragalus sutchuenensis,C.S.Chang et al.,SI1227,20100705,四川省,1714,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924941.jpg,,,,,,,,,, +,Astragalus sutchuenensis,白水江采集队,3579,20070427,甘肃省,900,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826496.jpg,,,,,,,,,, +,Astragalus tibetanus,王金亭,3664,19610802,西藏自治区,4550,沙丘及河谷的沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02047180.jpg,,,,,,,,,, +,Astragalus tibetanus,泛喜马拉雅植物志巴基斯坦采集队,FPH-1349,20120908,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004912.jpg,,,,,,,,,, +,Astragalus tibetanus,V.Goloskokov,s.n.,19650717,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924728.jpg,,,,,,,,,, +糙叶黄芪,Astragalus tongolensis,D.E.Boufford et al.,37356,20060826,四川省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01983703.jpg,,,,,,,,,, +糙叶黄芪,Astragalus tongolensis,Ho Ting-nung Brue Bartholomew & Mike GilBert,523,19930729,青海省,3920,Alpine meadow with Hedysarum and N facing slope with very dense turf and frequent dwarf shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/00304010.jpg,,,,,,,,,, +,Astragalus tsataensis,青藏队,76-8147,19760702,西藏自治区,3100,山坡砂砾地,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/01432500.jpg,,,,,,,,,, +东坝子黄耆,Astragalus tumbatsicus,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201445,20200803,西藏,2664,林缘草地上,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1508601.jpg,,,,,,,,,, +,Astragalus tungensis,青藏队,13582,19830904,四川省,2500,木里河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490871.jpg,,,,,,,,,, +,Astragalus tungensis,E. H. Wilson,3436,1904/5/19,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00059537.jpg,,,,,,,,,, +,Astragalus webbianus,青藏队,73-8078,19760628,西藏自治区,4200~4600,河边砾石地或山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278259.jpg,,,,,,,,,, +维西黄耆,Astragalus weixinensis,刘丹辉,170146,20170623,四川省,4115,路旁,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0042704.jpg,,,,,,,,,, +,Astragalus weixinensis,C. W. Wang,67994,Jul-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00112245.jpg,,,,,,,,,, +,Astragalus yangtzeanus,"田,张",96(12),19810908,云南省,3320,灌草丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01802485.jpg,,,,,,,,,, +扬子黄耆,Astragalus yangtzeanus,,58,1956/4/23,四川省,150,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0254114.jpg,,,,,,,,,, +扬子黄耆,Astragalus yangtzeanus,Wilson,3764,,四川; SZECHWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00047566.jpg,,,,,,,,,, +,Astragalus yumenensis,L.R.Xu et al.,96-188,19960714,甘肃省,2300,Dry slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/00461059.jpg,,,,,,,,,, +玉门黄耆,Astragalus yumenensis,吴玉虎等,18872,20000827,青海省,2600,干旱滩地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00013530.jpg,,,,,,,,,, +玉门黄耆,Astragalus yumenensis,雷喜亭,83083,1983/6/11,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0017290.jpg,,,,,,,,,, +,Astragalus yutianensis,李渤生,11832,19880706,新疆维吾尔自治区,4150,河滩砾石内常见种,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00278713.jpg,,,,,,,,,, +,Astragalus zacharensis,"洪德元,潘开玉,陈世龙",H97188,19970815,青海省,3100,Meadows,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490910.jpg,,,,,,,,,, +,Astragalus zacharensis,青藏队,12144,19830720,四川省,3200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490879.jpg,,,,,,,,,, +,Astragalus zacharensis,"赵,李,扬,姚",164,19790731,内蒙古自治区,,积水泡子旁草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00461006.jpg,,,,,,,,,, +球果牧根草,Asyneuma chinense,毕节队,692,19590803,贵州省,1960,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056688.jpg,,,,,,,,,, +球果牧根草,Asyneuma chinense,赵佐成,3407,19931015,四川省,1900,路边阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010277.jpg,,,,,,,,,, +球果牧根草,Asyneuma chinense,税玉民,2592,19930510,云南省,1600,山谷河边荒地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621970.jpg,,,,,,,,,, +长果牧根草,Asyneuma fulgens,PE-西藏队,2779,20130707,西藏自治区,2900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056942.jpg,,,,,,,,,, +长果牧根草,Asyneuma fulgens,刘慎谔,13930,19450717,云南省,2000,In woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01240564.jpg,,,,,,,,,, +长果牧根草,Asyneuma fulgens,T.T.Yu,3526,19340722,四川省,1500,mt.slope open place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01240561.jpg,,,,,,,,,, +沙木蓼,Atraphaxis bracteata,河西队,1348,19640802,甘肃省,1500,半固定沙丘,,无花无果,https://image.cvh.ac.cn/files/l/PE/00040630.jpg,,,,,,,,,, +沙木蓼,Atraphaxis bracteata,杨喜林等,75,19620616,宁夏回族自治区,1260,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00040627.jpg,,,,,,,,,, +沙木蓼,Atraphaxis bracteata,P.Licant S.J.,3756,19180528,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00040615.jpg,,,,,,,,,, +锐枝木蓼,Atraphaxis pungens,"陈又生,袁慊,徐连升等",140875,20140725,内蒙古自治区,1267,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044226.jpg,,,,,,,,,, +锐枝木蓼,Atraphaxis pungens,Sino-Russian Altai Expedition,SRAE2004046a,20040000,新疆维吾尔自治区,,Stony south-exposed steppe slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766915.jpg,,,,,,,,,, +锐枝木蓼,Atraphaxis pungens,中国科学院甘青调查队,178,19590618,青海省,2900,"路边,洪积平原",,有花无果,https://image.cvh.ac.cn/files/l/PE/00167040.jpg,,,,,,,,,, +中亚滨藜 (原变种),Atriplex centralasiatica var. centralasiatica,宝音,150927180708016LY,20180708,内蒙古,2072,,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IATM/IATM0000497.jpg,,,,,,,,,, +大苞滨藜,Atriplex centralasiatica var. megalotheca,"近田文弘,郎楷永",564,19870914,新疆维吾尔自治区,2210,戈壁滩 干山坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01196734.jpg,,,,,,,,,, +大苞滨藜,Atriplex centralasiatica var. megalotheca,王质彬 梁大盛,8,19610830,青海省,0,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/000179.jpg,,,,,,,,,, +大苞滨藜,Atriplex centralasiatica var. megalotheca,东北林学院,52586,,黑龙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/NEFI/034002003001001.jpg,,,,,,,,,, +野滨藜,Atriplex fera,黄河队,7233,19560707,甘肃省,1350,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00235024.jpg,,,,,,,,,, +野滨藜,Atriplex fera,青甘队,2060,19600725,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00165617.jpg,,,,,,,,,, +野滨藜,Atriplex fera,,南172,19730713,宁夏回族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00165615.jpg,,,,,,,,,, +滨藜,Atriplex patens,青甘队,843,19590722,青海省,2870,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00235001.jpg,,,,,,,,,, +滨藜,Atriplex patens,林有润,74943,19740821,新疆维吾尔自治区,600,戈壁滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/00234999.jpg,,,,,,,,,, +滨藜,Atriplex patens,V.Sukatschew et H.Poplawska,3074a,19110818,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00121436.jpg,,,,,,,,,, +西伯利亚滨藜,Atriplex sibirica,李振宇等,12344,20120727,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921081.jpg,,,,,,,,,, +西伯利亚滨藜,Atriplex sibirica,侯学煜,12731,19510828,内蒙古自治区,,盐堿土,,无花有果,https://image.cvh.ac.cn/files/l/PE/01600968.jpg,,,,,,,,,, +西伯利亚滨藜,Atriplex sibirica,侯学煜,11935,19501004,辽宁省,,平坦 盐土,,无花无果,https://image.cvh.ac.cn/files/l/PE/01600964.jpg,,,,,,,,,, +鞑靼滨藜,Atriplex tatarica,侯学煜,11635,19500923,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01804464.jpg,,,,,,,,,, +鞑靼滨藜,Atriplex tatarica,"清水建美,近田文弘等",29,19910720,新疆维吾尔自治区,1100,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01467526.jpg,,,,,,,,,, +鞑靼滨藜,Atriplex tatarica,青甘队,818,19590721,青海省,2990,水沟边 麦地内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00165704.jpg,,,,,,,,,, +,Aucuba himalaica,北京队,892255,19890503,广西壮族自治区,800,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991910.jpg,,,,,,,,,, +,Aucuba himalaica,朱大海,20070043,20070406,四川省,1000,山坡林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01861391.jpg,,,,,,,,,, +,Aucuba himalaica,生态室高原组,11451,19800729,西藏自治区,1800,常绿林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810874.jpg,,,,,,,,,, +沟稃草,Aulacolepis treutleri,罗毅波,2340,19850513,湖南省,850,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01645810.jpg,,,,,,,,,, +沟稃草,Aulacolepis treutleri,"简焯坡,张秀实等",31717,19630825,贵州省,1360,沟底 潮湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01557876.jpg,,,,,,,,,, +沟稃草,Aulacolepis treutleri,赵佐成,88-1754,19880818,重庆市,1850,山坡 林下沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01320937.jpg,,,,,,,,,, +野燕麦(原变种),Avena fatua var. fatua,谢登峰、蔡竞、秦换换,SC-00-020-A-035,20200901,四川,3556.38m,阔叶及灌丛混生,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02071039.jpg,,,,,,,,,, +轴藜,Axyris amaranthoides,石硕等,SZ3736,20140807,河北省,1202,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063221.jpg,,,,,,,,,, +轴藜,Axyris amaranthoides,孙学刚等,6351,20060805,甘肃省,2213,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832457.jpg,,,,,,,,,, +轴藜,Axyris amaranthoides,,1127,19630813,吉林省,800,路边阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802402.jpg,,,,,,,,,, +杂配轴藜,Axyris hybrida,Zhao Zhen-Ju,115642,19810929,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01547243.jpg,,,,,,,,,, +杂配轴藜,Axyris hybrida,刘冰,243,20060730,内蒙古自治区,1300,典型草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01459108.jpg,,,,,,,,,, +杂配轴藜,Axyris hybrida,关克俭,2445,19570804,新疆维吾尔自治区,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00165579.jpg,,,,,,,,,, +平卧轴藜,Axyris prostrata,FLPH Tibet Expedition,12-0066,20120903,西藏自治区,4682,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967959.jpg,,,,,,,,,, +平卧轴藜,Axyris prostrata,李振宇等,12378,20120727,新疆维吾尔自治区,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01921101.jpg,,,,,,,,,, +平卧轴藜,Axyris prostrata,M.Medvedev,83,19890728,,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900887.jpg,,,,,,,,,, +粗穗蛇菰,Balanophora dioica,"李渤生,李辉",14232,19901012,西藏自治区,2000,常绿阔叶林中偶见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01487534.jpg,,,,,,,,,, +粗穗蛇菰,Balanophora dioica,白水江考察队,1185,20060705,甘肃省,1000,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01358991.jpg,,,,,,,,,, +红冬蛇菰,Balanophora harlandii,花坪自然保护区植物区系考察队,H0099,20060415,广西壮族自治区,1350,山地、山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100353.jpg,,,,,,,,,, +红冬蛇菰,Balanophora harlandii,PE-古蔺考察队,1042,20100908,四川省,1338~1513,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01864394.jpg,,,,,,,,,, +红冬蛇菰,Balanophora harlandii,236-6队,1416,19740913,福建省,,上坡中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801481.jpg,,,,,,,,,, +筒鞘蛇菰,Balanophora involucrata,PE西藏队,PE6428,20170911,西藏自治区,2969,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333176.jpg,,,,,,,,,, +筒鞘蛇菰,Balanophora involucrata,"S.K.Wu,L.H.Liu,Y.M.Shui et al.",2058,19951024,云南省,1900~2500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100347.jpg,,,,,,,,,, +筒鞘蛇菰,Balanophora involucrata,"覃海宁,张明理,高天刚,朱大海,农必明",292,20010831,四川省,2200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100348.jpg,,,,,,,,,, +疏花蛇菰,Balanophora laxiflora,金佛山考察队,890,19860608,重庆市,,杂木林下较阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100359.jpg,,,,,,,,,, +疏花蛇菰,Balanophora laxiflora,Chin-Sung Chang et al.,SI0290,20040714,四川省,2175,road side longchi park,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100358.jpg,,,,,,,,,, +疏花蛇菰,Balanophora laxiflora,中植联广西队,4254,20081018,广西壮族自治区,1200,石灰岩石山、山坡、山谷、疏林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100356.jpg,,,,,,,,,, +多蕊蛇菰,Balanophora polyandra,青藏队,9226,19820810,云南省,1300~1500,山坡常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02072995.jpg,,,,,,,,,, +多蕊蛇菰,Balanophora polyandra,青藏队,74-1820,19730909,西藏自治区,2040,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801554.jpg,,,,,,,,,, +西藏斑子木,Baliospermum bilobatum,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T207,20160915,西藏自治区,1524,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233366.jpg,,,,,,,,,, +西藏斑籽木,Baliospermum bilobatum,"刘成, 亚吉东",18CS17230,20181121,西藏,895,林缘,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486774.jpg,,,,,,,,,, +斑籽木,Baliospermum solanifolium,周仕顺,3309,20051123,云南省,1250,石灰山林中,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0004589.jpg,,,,,,,,,, +斑籽木,Baliospermum solanifolium,W.Nanakorn,11746,19990210,,700,Frequent in evergreen and bamboo forest,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0004590.jpg,,,,,,,,,, +,Baliospermum solanifolium,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180487,20181110,Mon State,,,Shrub,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498517.jpg,,,,,,,,,, +,Bambusa teres,张玉霄,许宇星,周梦媛,12199,20120818,云南省,758,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1234516.jpg,,,,,,,,,, +,Bambusa teres,张玉霄,周梦媛,马朋飞,12277,20121011,云南省 ,548,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1238811.jpg,,,,,,,,,, +马甲竹,Bambusa teres,徐有财、陈景方,1142,19900824,广东省,60,山坡,,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00058986.jpg,,,,,,,,,, +苞藜,Baolia bracteata,朱格麟 王庆瑞等,15620,19730905,甘肃省,1900,阳山坡,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00024032.jpg,,,,,,,,,, +羽裂叶山芥,Barbarea intermedia,PE西藏考察队,7173,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332823.jpg,,,,,,,,,, +羽裂叶山芥,Barbarea intermedia,E.P.Bicknell,4393,19150514,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01003002.jpg,,,,,,,,,, +山芥,Barbarea orthoceras,PE-NIBR Changbaishan Exped.,234-13,20140612,吉林省,1674,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036829.jpg,,,,,,,,,, +山芥,Barbarea orthoceras,,s.n.,19830730,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01921018.jpg,,,,,,,,,, +山芥,Barbarea orthoceras,东林资源调查队,A0029,19870705,黑龙江省,,湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350573.jpg,,,,,,,,,, +,Barleria cristata,,Q3,19731100,广西壮族自治区,50,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011481.jpg,,,,,,,,,, +,Barleria cristata,赵佐成,245,19930914,四川省,1000,山坡土坎上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882273.jpg,,,,,,,,,, +,Barleria cristata,Y. M. Shui et al.,40222,20031116,云南省,1320~1470,石灰岩山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882231.jpg,,,,,,,,,, +全缘萼假杜鹃,Barleria integrisepala,青藏队,13398,19830825,四川省,1900~2000,雅江边草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01558197.jpg,,,,,,,,,, +全缘萼假杜鹃,Barleria integrisepala,余奇,代文台,CIBYQ088B014,20190814,四川,2082,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1502582.jpg,,,,,,,,,, +绵枣儿,Barnardia japonica,石雷 林秦文,2011030,20110415,北京市,150,路边草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112313.jpg,,,,,,,,,, +绵枣儿,Barnardia japonica,赵常明,EX0992,20070916,湖北省,250,农地旁石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823000.jpg,,,,,,,,,, +绵枣儿,Barnardia japonica,张挺、梁跃龙,13CS7912,20130827,江西,660,石壁草丛,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1391624.jpg,,,,,,,,,, +雾冰藜,Bassia dasyphylla,陈全胜,CF-0009-235,20170826,内蒙古自治区,2264,沙质草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246640.jpg,,,,,,,,,, +雾冰藜,Bassia dasyphylla,"李渤生,郭柯",11609,19880608,新疆维吾尔自治区,1480,坡麓砾石坡沟湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099366.jpg,,,,,,,,,, +雾冰藜,Bassia dasyphylla,黄河队,7806,19560824,陕西省,,沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082031.jpg,,,,,,,,,, +水毛茛(原变种),Batrachium bungei var. bungei,刘成,张挺,谭治刚,19CS18139,20190819,云南,3796,高山湿地,水生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506505.jpg,,,,,,,,,, +丽江羊蹄甲,Bauhinia bohniana,"D.E.BouffORD,L.Y.Chen,X.H.Li et J.R.Shevock",42107,20100720,云南省,1800~2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01893528.jpg,,,,,,,,,, +丽江羊蹄甲,Bauhinia bohniana,,2938,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00323413.jpg,,,,,,,,,, +鞍叶羊蹄甲,Bauhinia brachycarpa,北京队,896155,19890608,广西壮族自治区,310,山脚,,有花无果,https://image.cvh.ac.cn/files/l/PE/01965877.jpg,,,,,,,,,, +鞍叶羊蹄甲,Bauhinia brachycarpa,"李全喜,赵兴存",2568,19640816,甘肃省,750,江岸公路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01932338.jpg,,,,,,,,,, +鞍叶羊蹄甲,Bauhinia brachycarpa,"Q.Wang ,K.Yao",99155,19990600,四川省,2300,山坡旱处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01893859.jpg,,,,,,,,,, +石山羊蹄甲,Bauhinia comosa,,s.n.,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00323885.jpg,,,,,,,,,, +石山羊蹄甲,Bauhinia comosa,川经凉(59)字,5615,19590820,四川省,,阴处路旁灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00323881.jpg,,,,,,,,,, +薄荚羊蹄甲,Bauhinia delavayi,北京所横断山队,965,19810709,云南省,1950,金沙江热谷 山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01486958.jpg,,,,,,,,,, +薄荚羊蹄甲,Bauhinia delavayi,武素功,2214,19590712,四川省,1600~1700,河边灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00463019.jpg,,,,,,,,,, +薄荚羊蹄甲,Bauhinia delavayi,,2537,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00463017.jpg,,,,,,,,,, +云南羊蹄甲,Bauhinia yunnanensis,D.E.Boufford et al.,42061,20100719,云南省,2725~2750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925176.jpg,,,,,,,,,, +云南羊蹄甲,Bauhinia yunnanensis,,8910,19630627,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01685143.jpg,,,,,,,,,, +云南羊蹄甲,Bauhinia yunnanensis,236任务组,140,19720728,四川省,800,河谷 山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01534839.jpg,,,,,,,,,, +,Beckmannia syzigachne,黄河队,6722,19560613,陕西省,,干田中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094283.jpg,,,,,,,,,, +,Beckmannia syzigachne,老铁山采集队,432,20080713,辽宁省,,水中挺水,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089640.jpg,,,,,,,,,, +,Beckmannia syzigachne,"D.E.Boufford,K.Fujikawa,S.L.Kelley etc.",39151,20070806,四川省,3570~3730,broad flat valley with a network of meandering rocky streams and marshy places adjacent meadow slopes with shrubs and outcropping ledges rocky stream bed in shallow water and in pools of standingwater,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088926.jpg,,,,,,,,,, +铁破锣,Beesia calthifolia,"陈又生,王泽欢",9077,20090723,四川省,3100~3300,草坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01966703.jpg,,,,,,,,,, +铁破锣,Beesia calthifolia,白水江考察队,1023,20060704,甘肃省,1560,河谷山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01861088.jpg,,,,,,,,,, +角叶铁破锣,Beesia deltophylla,"李渤生,程树志等",4361,19830428,西藏自治区,,常绿阔叶林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491948.jpg,,,,,,,,,, +铁破锣属,Beesia deltophylla,倪志诚,333,19830315,西藏,1800,常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001556.jpg,,,,,,,,,, +无翅秋海棠,Begonia acetosella,"税玉民,陈文红,盛家舒等",20431,20020324,云南省,1400,in evergreen forest along the valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108672.jpg,,,,,,,,,, +无翅秋海棠,Begonia acetosella,PT-ET(Putao Expedition Team): Xiaohua JIN et al.,PT-ET 1206,20141023,,1400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02108314.jpg,,,,,,,,,, +糙叶秋海棠,Begonia asperifolia,PE西藏队,PE5860,20170903,西藏自治区,2798,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330319.jpg,,,,,,,,,, +糙叶秋海棠,Begonia asperifolia,R.C.Ching,21370,19390828,云南省,1800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00109173.jpg,,,,,,,,,, +,Begonia ceratocarpa,"税玉民,陈文红,盛家舒",30064,20021002,云南省,,热带季节雨林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108718.jpg,,,,,,,,,, +,Begonia ceratocarpa,中越考察队,763,19641223,,160,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846130.jpg,,,,,,,,,, +黄花秋海棠,Begonia flaviflora,西藏中草药普查队,1268,19720818,西藏自治区,2600,林下阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804178.jpg,,,,,,,,,, +乳黄秋海棠,Begonia flaviflora,林芹,791636,19790731,云南省,3300,山坡阴湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01392084.jpg,,,,,,,,,, +黄花秋海棠,Begonia flaviflora,Dr.K.Biswas,3761,19400511,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0533020.jpg,,,,,,,,,, +墨脱秋秋海棠,Begonia hatacoa,"李渤生,程树志",2953,19830312,西藏自治区,1500,常绿阔叶林下时见(多石处),,无花有果,https://image.cvh.ac.cn/files/l/PE/01392575.jpg,,,,,,,,,, +墨脱秋秋海棠,Begonia hatacoa,无,2565,18620000,,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0533233.jpg,,,,,,,,,, +独牛,Begonia henryi,"朱相云,杨永,潘勃",20050209,20050731,云南省,2164,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108657.jpg,,,,,,,,,, +独牛,Begonia henryi,赵常明,EX0991,20070916,湖北省,250,农地旁石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068660.jpg,,,,,,,,,, +独牛,Begonia henryi,三峡考察队,3510,20090908,重庆市,185~280,河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068659.jpg,,,,,,,,,, +鸡爪秋海棠,Begonia imitans,,960254,19960620,四川省,1020,石笋沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840999.jpg,,,,,,,,,, +重齿秋海棠,Begonia josephii,陈家瑞,92244,19920917,西藏自治区,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841050.jpg,,,,,,,,,, +重齿秋海棠,Begonia josephii,无,2563,18620000,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0533377.jpg,,,,,,,,,, +心叶秋海棠,Begonia labordei,Shui Yumin et al.,10703,19990909,云南省,1750,in forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108708.jpg,,,,,,,,,, +心叶秋海棠,Begonia labordei,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET 3377,20080720,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108337.jpg,,,,,,,,,, +木里秋海棠,Begonia muliensis,赵佐成,3260,19931009,四川省,1000,林下沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108696.jpg,,,,,,,,,, +木里秋海棠,Begonia muliensis,蓝顺彬,78,19840812,云南省,2000,背阴潮湿崖上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01392875.jpg,,,,,,,,,, +,Begonia palmata var. crassisetulosa,邱炳云,53537,19561110,云南省,2100,干燥的箐沟岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01393018.jpg,,,,,,,,,, +,Begonia palmata var. palmata,陶国达,13121,19741103,云南省,1400,林下潮湿,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0533771.jpg,,,,,,,,,, +裂叶秋海棠,Begonia palmata var. palmata,凌云普查队,4.51E+14,20130714,广西壮族自治区,1100,阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI063287.jpg,,,,,,,,,, +裂叶秋海棠,Begonia palmata var. palmata,资源县普查队,450329160818012LY,20160818,广西,782,阔叶林,阳坡,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0172122.jpg,,,,,,,,,, +樟木秋海棠,Begonia picta,PE西藏队,PE5859,20170903,西藏自治区,2798,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330322.jpg,,,,,,,,,, +樟木秋海棠,Begonia picta,S.Noshiro et al,9760119,19970816,,1400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01852981.jpg,,,,,,,,,, +锡金秋海棠,Begonia sikkimensis,藏东南考察队 金效华等,SET-ET 1273,20090905,西藏自治区,1500,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108704.jpg,,,,,,,,,, +锡金秋海棠,Begonia sikkimensis,K.Biswas,4647,,,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0534199.jpg,,,,,,,,,, +大里秋海棠,Begonia taliensis,刘慎谔,20888,19460927,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01393365.jpg,,,,,,,,,, +大里秋海棠,Begonia taliensis,Y.Tsiang,11841,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01392001.jpg,,,,,,,,,, +大理秋海棠,Begonia taliensis,蒋兴麟,35186,,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0236361.jpg,,,,,,,,,, +粗壮琼楠,Beilschmiedia robusta,"李渤生,程树志",4232,19830422,西藏自治区,1700~2000,常绿阔叶林中常见乔木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046544.jpg,,,,,,,,,, +粗壮琼楠,Beilschmiedia robusta,周仕顺,288,20011107,云南省,1400,沟谷杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01520086.jpg,,,,,,,,,, +,Beilschmiedia roxburghiana,"S.K.Wu,Y.M.Shui et al.",3227,19951022,云南省,1700~1900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01869000.jpg,,,,,,,,,, +,Beilschmiedia roxburghiana,陈念劬,41788,19301001,香港,,山谷边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00188770.jpg,,,,,,,,,, +射干,Belamcanda chinensis,刘正宇,18542,19960725,重庆市,1300,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238998.jpg,,,,,,,,,, +射干,Belamcanda chinensis,四川植物采集队,14314,19760923,四川省,1700,公路边林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238996.jpg,,,,,,,,,, +箭药藤,Belostemma hirsutum,尹志坚等,3442,20100805,云南省,1850,Riversides,,有花无果,https://image.cvh.ac.cn/files/l/PE/01959142.jpg,,,,,,,,,, +箭药藤,Belostemma hirsutum,陈 ,760,19790509,四川,1800,,藤本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM716700083.jpg,,,,,,,,,, +堆花小檗,Berberis aggregata,"李良千,王忠涛,杜玉芬,卫然",22,20110831,甘肃省,2130~2200,山坡灌木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914152.jpg,,,,,,,,,, +堆花小檗,Berberis aggregata,巴山采集队,5092,20110701,四川省,1800,路边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873019.jpg,,,,,,,,,, +堆花小檗,Berberis aggregata,巴山采集队,2370,20080726,重庆市,2177,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01861154.jpg,,,,,,,,,, +暗红小檗,Berberis agricola,青藏队,41,19730622,西藏自治区,3600,山坡阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01033053.jpg,,,,,,,,,, +暗红小檗,Berberis agricola,俞德浚,16168,19380606,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/161553.jpg,,,,,,,,,, +暗红小檗,Berberis agricola,宋滋圃,,195400,四川省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/107933.jpg,,,,,,,,,, +,Berberis ambrozyana,黑水组,1236,19590527,四川省,2900,草坪,灌木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840066.jpg,,,,,,,,,, +,Berberis ambrozyana,E. H. Wilson,3146a,1904/5/25,,2438~2743,,,,https://image.cvh.ac.cn/files/l/HUH/A00038712.jpg,,,,,,,,,, +美丽小檗,Berberis amoena,张挺等,JO900,20100718,云南省,2318,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01942349.jpg,,,,,,,,,, +美丽小檗,Berberis amoena,Lichiang range,10282,19130600,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01030742.jpg,,,,,,,,,, +黄芦木,Berberis amurensis,李才贵,256,19840829,山西省,1700,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02081450.jpg,,,,,,,,,, +黄芦木,Berberis amurensis,赤峰采集队,2-Z13,20080724,内蒙古自治区,,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02012153.jpg,,,,,,,,,, +黄芦木,Berberis amurensis,"Hyeongtak Im,Suyeong park",90846,20120603,,1380,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922421.jpg,,,,,,,,,, +有棱小檗,Berberis angulosa,PE西藏考察队,7872,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332988.jpg,,,,,,,,,, +有棱小檗,Berberis angulosa,田景全,309,19600804,北京市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839195.jpg,,,,,,,,,, +近似小檗,Berberis approximata,杨永昌,908,19650610,青海省,3680,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037691.jpg,,,,,,,,,, +近似小檗,Berberis approximata,青藏科考队,12169,19760627,西藏自治区,4100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037687.jpg,,,,,,,,,, +近似小檗,Berberis approximata,昆明植物研究所,1954,19810708,云南省,2900,竹林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037683.jpg,,,,,,,,,, +直梗小檗,Berberis asmyana,Chin-Sung Chang et al.,SI0339,20040912,四川省,3522,Salix mixed forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839956.jpg,,,,,,,,,, +直梗小檗,Berberis asmyana,吴中伦,12185,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01030739.jpg,,,,,,,,,, +直梗小檗,Berberis asmyana,熊惠江,520203140318001LY,20140318,贵州省,1349.7,,灌木,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0031354.jpg,,,,,,,,,, +短柄小檗,Berberis brachypoda,黄河队,60,19540616,甘肃省,1300,山坡阴处,,无花有果,https://image.cvh.ac.cn/files/l/PE/02081915.jpg,,,,,,,,,, +短柄小檗,Berberis brachypoda,236-6队,2569,19760704,湖北省,1650,山坡林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840080.jpg,,,,,,,,,, +长苞小檗,Berberis bracteata,北京植物所横断山队,1448,19810713,云南省,3300,冷杉林间空地常见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037117.jpg,,,,,,,,,, +,Berberis buchananii,青藏队,5520,19750605,西藏自治区,3400,山坡,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840011.jpg,,,,,,,,,, +钙原小檗,Berberis calcipratorum,George Forrest,5552,19100500,云南省,4000,Open situations on limy pasture,shrub,有花无果,https://image.cvh.ac.cn/files/l/PE/01432163.jpg,,,,,,,,,, +钙原小檗,Berberis calcipratorum,,11431,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0175783.jpg,,,,,,,,,, +小檗属,Berberis calliantha,廖世荣,次多,次旦、倪志诚,2501,19810926,西藏,2700,杂木林林下,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0001990.jpg,,,,,,,,,, +弯果小檗,Berberis campylotropa,"唐宇丹,林秦文",2010-066,20100916,西藏自治区,3967,南坡、印度暖湿气流影响湿润,沙石含,,无花无果,https://image.cvh.ac.cn/files/l/PE/02014917.jpg,,,,,,,,,, +弯果小檗,Berberis campylotropa,赵振锯、师进斌,115546,1981-9 2,四川省,3700,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0027147.jpg,,,,,,,,,, +弯果小檗,Berberis campylotropa,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20626,20200625,西藏,3883,高山灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1553124.jpg,,,,,,,,,, +黄球小檗,Berberis chrysosphaera,,9092,19600528,云南省,2560,路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0175673.jpg,,,,,,,,,, +秦岭小檗,Berberis circumserrata,张寿洲等,970,20130926,四川省,,土生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990455.jpg,,,,,,,,,, +秦岭小檗,Berberis circumserrata,刘淼等,H10075,20050626,河南省,1600,生于灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840122.jpg,,,,,,,,,, +秦岭小檗,Berberis circumserrata,钟志宇,508,19930715,甘肃省,2500,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839970.jpg,,,,,,,,,, +雅洁小檗,Berberis concinna,方震东、和光、杨亲二,XZ-034,20070920,西藏自治区,2592,云南松林下,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002127.jpg,,,,,,,,,, +同色小檗,Berberis concolor,K. M. Feng ,5801,19400725,云南省,2100~2300,沟边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037547.jpg,,,,,,,,,, +同色小檗,Berberis concolor,青藏队,286,19730621,西藏自治区,3200,山坡,灌丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0175843.jpg,,,,,,,,,, +直穗小檗,Berberis dasystachya,Przewalski,62,18730000,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01896189.jpg,,,,,,,,,, +直穗小檗,Berberis dasystachya,巴山采集队,5116,20110701,四川省,1800,路边林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873018.jpg,,,,,,,,,, +直穗小檗,Berberis dasystachya,巴山采集队,1628,20080719,重庆市,2010,林中灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01861152.jpg,,,,,,,,,, +道孚小檗,Berberis dawoensis,李馨,77645,19580608,重庆市,3000,沟边,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037866.jpg,,,,,,,,,, +道孚小檗,Berberis dawoensis,"赵清盛,郭友好,谭仲明",111262,19740625,四川省,3300,坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037864.jpg,,,,,,,,,, +道孚小檗,Berberis dawoensis,K. M. Feng ,6511,19400810,云南省,3300~3500,草地上或灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01033931.jpg,,,,,,,,,, +显脉小檗,Berberis delavayi,K.M.Feng,3784,1940/5/10,云南省,2800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0091651.jpg,,,,,,,,,, +,Berberis delavayi,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191342,20190918,云南,3383,亚热带针叶林,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483656.jpg,,,,,,,,,, +鲜黄小檗,Berberis diaphana,"王文广,刘平等",2327,20140716,四川省,2540~3200,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021369.jpg,,,,,,,,,, +鲜黄小檗,Berberis diaphana,Przewalski,177,18720000,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01896191.jpg,,,,,,,,,, +鲜黄小檗,Berberis diaphana,T.N.Ho(HNWP)et al.,2028,19960818,青海省,3700,Juniperus-Picea-Betula community on steep rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840129.jpg,,,,,,,,,, +松潘小檗,Berberis dictyoneura,,1044,19830804,宁夏回族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01840088.jpg,,,,,,,,,, +松潘小檗,Berberis dictyoneura,,795,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01572308.jpg,,,,,,,,,, +松潘小檗,Berberis dictyoneura,秦岭队,10903,19590908,陕西省,,阴处 岩石上 灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01387599.jpg,,,,,,,,,, +弯柱刺红珠,Berberis dictyophylla var. campylogyna,王启无,70033,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0176056.jpg,,,,,,,,,, +弯柱刺红珠,Berberis dictyophylla var. campylogyna,武素功,3555,19591026,四川省,3000,阴坡,松林下,高山,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0176088.jpg,,,,,,,,,, +刺红珠,Berberis dictyophylla var. dictyophylla,王启无,69780,19350900,云南省,3000,Moutain slope border,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0176023.jpg,,,,,,,,,, +刺红珠,Berberis dictyophylla var. dictyophylla,费勇,孙航,李德铢等,95,19900712,西藏自治区,4000,on slope,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0176025.jpg,,,,,,,,,, +置疑小檗,Berberis dubia,采种队,347,19561005,陕西省,,高山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01811886.jpg,,,,,,,,,, +置疑小檗,Berberis dubia,孙学刚等,20010486,20010821,甘肃省,2500,沟谷灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01801148.jpg,,,,,,,,,, +置疑小檗,Berberis dubia,青甘队,42,19590529,青海省,3400,南坡柏树林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01033797.jpg,,,,,,,,,, +珠峰小檗,Berberis everestiana,PE西藏队,PE6132,20170907,西藏自治区,4474,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333159.jpg,,,,,,,,,, +珠峰小檗,Berberis everestiana,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00049410.jpg,,,,,,,,,, +假小檗,Berberis fallax,王启无,72435,19360500,云南省,2800,"s-slope,border of woods",,有花无果,https://image.cvh.ac.cn/files/l/PE/01031826.jpg,,,,,,,,,, +假小檗,Berberis fallax,王汉臣,3526,19330324,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01031807.jpg,,,,,,,,,, +,Berberis feddeana,傅坤俊,4570,19520618,陕西省,1550,山坡灌林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01033134.jpg,,,,,,,,,, +,Berberis feddeana,何叶祺,4794,19590714,甘肃省,2500,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01033131.jpg,,,,,,,,,, +金江小檗,Berberis forrestii,青藏队,2191,19810708,云南省,,华山松林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01033066.jpg,,,,,,,,,, +,Berberis forrestii,"Forrest, George",17143,18-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00217995.jpg,,,,,,,,,, +滇西北小檗,Berberis franchetiana,西藏中草药普查队,3082,19720529,西藏自治区,3600,半阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839950.jpg,,,,,,,,,, +滇西北小檗,Berberis franchetiana,何铸,12269,19520421,四川省,,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037206.jpg,,,,,,,,,, +大黄檗,Berberis francisci-ferdinandi,青藏队,73-37,19730531,西藏自治区,3800,山坡呼路灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840010.jpg,,,,,,,,,, +大黄檗,Berberis francisci-ferdinandi,曲仲湘,1203,19350608,重庆市,2050,in shrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037267.jpg,,,,,,,,,, +大黄檗,Berberis francisci-ferdinandi,"何铸,周子林",13799,19520000,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037264.jpg,,,,,,,,,, +湖北小檗,Berberis gagnepainii,植物所三峡考察队,1177,20080508,重庆市,1750~1923,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01788889.jpg,,,,,,,,,, +湖北小檗,Berberis gagnepainii,白水江考察队,2111,20060714,甘肃省,1500,山沟林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01359663.jpg,,,,,,,,,, +湖北小檗,Berberis gagnepainii,"郎楷永,李良千,费勇",374,19820701,四川省,2600,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01031952.jpg,,,,,,,,,, +吉隆小檗,Berberis gilungensis,西藏中草药普查队,135,19720605,西藏自治区,3200,林内,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935224.jpg,,,,,,,,,, +错那小檗,Berberis griffithiana,PE西藏考察队,7191,20180612,西藏自治区,3045~3398,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333080.jpg,,,,,,,,,, +错那小檗,Berberis griffithiana,B. Bartholomew ,1577,19840507,,2850,on the road between Bumtahang and tongsa,,有花无果,https://image.cvh.ac.cn/files/l/PE/01031187.jpg,,,,,,,,,, +错那小檗,Berberis griffithiana,王启无,66415,19350800,四川省,3200,Dry sandy slope of s-exposure,,无花有果,https://image.cvh.ac.cn/files/l/PE/01031188.jpg,,,,,,,,,, +安宁小檗,Berberis grodtmannia,川经凉,1088,19590713,四川省,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01031346.jpg,,,,,,,,,, +安宁小檗,Berberis grodtmannia,,3758,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01031341.jpg,,,,,,,,,, +小檗属,Berberis gyalaica var. minuta,倪志诚 次多 次旦,2834,19820808,西藏,3000,河谷阶地灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001946.jpg,,,,,,,,,, +拉萨小檗,Berberis hemsleyana,PE西藏考察队,7026,20180608,西藏自治区,4172~4868,山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333713.jpg,,,,,,,,,, +异果小檗,Berberis heteropoda,"张新时,郭柯",天山-503,19860811,新疆维吾尔自治区,1350,野果林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/02097552.jpg,,,,,,,,,, +异果小檗,Berberis heteropoda,L.Ivanina et al.,46,19780614,,2350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901087.jpg,,,,,,,,,, +毛梗小檗,Berberis hobsonii,PE西藏考察队,7396,20180616,西藏自治区,3635,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332948.jpg,,,,,,,,,, +毛梗小檗,Berberis hobsonii,高信芬、朱章明、鞠文彬、金伟涛,13870,20110718,西藏,3840,山坡灌草丛,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0223365.jpg,,,,,,,,,, +异叶小檗,Berberis hypericifolia,青藏综合考察队,75-945,19750810,西藏自治区,3400,1958年采伐迹地,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00935142.jpg,,,,,,,,,, +异叶小檗,Berberis hypericifolia,P.H.Dorsett and W.J.Morse,1197,19240900,,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/093057154.jpg,,,,,,,,,, +红叶小檗,Berberis hypericifolia,中药系14级,XB0001,20150925,山西,,,,有果无花,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0009013.jpg,,,,,,,,,, +烦果小檗,Berberis ignorata,PE西藏队,PE6035,20170906,西藏自治区,2935,山谷林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333201.jpg,,,,,,,,,, +黑果小檗,Berberis ignorata,刘正宇,975207-01,19990923,重庆,720,杂木林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0053849.jpg,,,,,,,,,, +伊犁小檗,Berberis iliensis,新疆综合考察队,10267,19590502,新疆维吾尔自治区,1060,河谷中会地土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01033244.jpg,,,,,,,,,, +伊犁小檗,Berberis iliensis,,4113,1955/6/6,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0091789.jpg,,,,,,,,,, +,Berberis insignis,戴天伦,107141,19580904,重庆市,1400,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01544502.jpg,,,,,,,,,, +球果小檗,Berberis insignis,T. T. Yu,21045,19381120,云南省,1600,among woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037184.jpg,,,,,,,,,, +,Berberis insignis,B. Bartholomew ,1578,19840507,,2850,Fagaceous forest.,,无花有果,https://image.cvh.ac.cn/files/l/PE/01031095.jpg,,,,,,,,,, +川滇小檗,Berberis jamesiana,"李文华,胡勇",439,19810730,云南省,,干热河谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840116.jpg,,,,,,,,,, +川滇小檗,Berberis jamesiana,"应俊生,洪德元",651049,19650904,西藏自治区,3500,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840030.jpg,,,,,,,,,, +川滇小檗,Berberis jamesiana,汤宗孝,951,19830607,四川省,3000,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01605710.jpg,,,,,,,,,, +腰果小檗,Berberis johannis,PE西藏队,PE6387,20170911,西藏自治区,3120,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333361.jpg,,,,,,,,,, +腰果小檗,Berberis johannis,余清珠,83845,1983-08-,西藏省,4720,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0091834.jpg,,,,,,,,,, +甘肃小檗,Berberis kansuensis,黄河队,740,19540723,甘肃省,1320,山坡阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/02081916.jpg,,,,,,,,,, +甘肃小檗,Berberis kansuensis,黄河队,8026,19560807,陕西省,,山坡阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078752.jpg,,,,,,,,,, +,Berberis kartanica,"李渤生,李辉",14197,19901011,西藏自治区,3600~3800,Abies林上优势,,无花有果,https://image.cvh.ac.cn/files/l/PE/01487660.jpg,,,,,,,,,, +喀什小檗,Berberis kaschgarica,"陈又生,袁慊",141601,20140817,新疆维吾尔自治区,1060,溪边林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039699.jpg,,,,,,,,,, +喀什小檗,Berberis kaschgarica,,818,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037031.jpg,,,,,,,,,, +工布小檗,Berberis kongboensis,唐宇丹等,BS005,20061005,西藏自治区,4223,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02061839.jpg,,,,,,,,,, +工布小檗,Berberis kongboensis,青藏队,2852,19810717,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/003659.jpg,,,,,,,,,, +平滑小檗,Berberis levis,Y.L.Keng,927,19270000,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840057.jpg,,,,,,,,,, +平滑小檗,Berberis levis,C. W. Wang,71366,19350700,云南省,2500,mt. slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037171.jpg,,,,,,,,,, +平滑小檗,Berberis levis,刘慎谔,19631,19410505,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01031428.jpg,,,,,,,,,, +长刺小檗,Berberis longispina,"李渤生,李辉,多吉次旦",13003,19900815,西藏自治区,4450,阳坡 Sabina灌丛中常见 水边较多,,无花无果,https://image.cvh.ac.cn/files/l/PE/01487671.jpg,,,,,,,,,, +湄公小檗,Berberis mekongensis,,76-335,19760717,西藏自治区,3900,灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01032810.jpg,,,,,,,,,, +湄公小檗,Berberis mekongensis,冯国楣,21224,19550830,云南省,3400,灌木众中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01032807.jpg,,,,,,,,,, +湄公小檗,Berberis mekongensis,"黄治平,罗正远,蒋卓然",1343,19300708,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01032804.jpg,,,,,,,,,, +小花小檗,Berberis minutiflora,川经凉(59)字,785,19590619,四川省,2800,山顶草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037721.jpg,,,,,,,,,, +小花小檗,Berberis minutiflora,钟补求,5285,19520831,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037715.jpg,,,,,,,,,, +小花小檗,Berberis minutiflora,,2751,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037713.jpg,,,,,,,,,, +,Berberis mouillacana,"郎楷永,李良千,费勇",1999,19830622,四川省,2500~2700,云杉林下,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839978.jpg,,,,,,,,,, +,Berberis mouillacana,T.P.Wang,3312,19350826,山西省,1800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839951.jpg,,,,,,,,,, +,Berberis muliensis var. muliensis,王启无,66446,19350900,西藏自治区,3300,orassy slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037493.jpg,,,,,,,,,, +,Berberis muliensis var. muliensis,"张秀实,任有铣",5397,19580615,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037485.jpg,,,,,,,,,, +木里小檗(原变种),Berberis muliensis var. muliensis,白洪兵、李红,533324180921989LY,20180921,云南,3620,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010090.jpg,,,,,,,,,, +多枝小檗,Berberis multicaulis,"倪志诚,次多等",2109,19810908,西藏自治区,3950,高山灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01037424.jpg,,,,,,,,,, +多枝小檗,Berberis multicaulis,高信芬、朱章明、鞠文彬、金伟涛,14534,20110726,西藏,3895,山坡沙地,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0224041.jpg,,,,,,,,,, +粗齿小檗,Berberis multiserrata,张经炜,1117,19730821,西藏自治区,3950,东坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00935231.jpg,,,,,,,,,, +小檗属,Berberis multiserrata,倪志诚 汪永泽 次多 次旦,1104,19800815,西藏,3600,河边灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0001913.jpg,,,,,,,,,, +无脉小檗,Berberis nullinervis,西藏队植被组,6112,19750911,西藏自治区,4200~4300,河谷 山麓,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037977.jpg,,,,,,,,,, +无脉小檗,Berberis nullinervis,,10476,19290226,,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/093057253.jpg,,,,,,,,,, +裂瓣小檗,Berberis obovatifolia,"张永田,郞楷永",1548,19650816,西藏自治区,3800,山坡灌木从事,,无花有果,https://image.cvh.ac.cn/files/l/PE/01030832.jpg,,,,,,,,,, +乳突小檗,Berberis papillifera,青藏队,14174,19830922,四川省,3200~3400,山坡高山栎林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037196.jpg,,,,,,,,,, +乳突小檗,Berberis papillifera,俞德浚,10972,19371116,云南省,3450,Mt.grassy slope,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0176686.jpg,,,,,,,,,, +乳突小檗,Berberis papillifera,,59430,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0176687.jpg,,,,,,,,,, +拟粉叶小檗,Berberis parapruinosa,张永田 郎楷永,3415,19660506,西藏自治区,2750,山坡铁杉林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935232.jpg,,,,,,,,,, +阔叶小檗,Berberis platyphylla,青藏队,10453,19820913,西藏自治区,3450,山坡 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602463.jpg,,,,,,,,,, +阔叶小檗,Berberis platyphylla,T. T. Yu,22613,19380831,云南省,3500,under mixed forests,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037537.jpg,,,,,,,,,, +细叶小檗,Berberis poiretii,"石硕,张涛",SZ4022,20140903,河北省,1390,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036860.jpg,,,,,,,,,, +细叶小檗,Berberis poiretii,昌平队,80,20000811,北京市,450,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02026700.jpg,,,,,,,,,, +刺黄花,Berberis polyantha,韩裕丰等,83-323,19830826,四川省,3050,干旱河谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840111.jpg,,,,,,,,,, +刺黄花,Berberis polyantha,白龙江考察队,1648,19990601,甘肃省,2100,河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556125.jpg,,,,,,,,,, +少齿小檗,Berberis potaninii,"杨红梅,朗校安等",1638,20140424,四川省,1900~2300,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02021620.jpg,,,,,,,,,, +少齿小檗,Berberis potaninii,白龙江考察队,671,19980723,甘肃省,1500,山地 山坡 灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01556140.jpg,,,,,,,,,, +少齿小檗,Berberis potaninii,杨金祥,2468,19640501,陕西省,340,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037027.jpg,,,,,,,,,, +易门小檗,Berberis pruinosa var. barresiana,"李文华,胡勇",159,19810611,云南省,2200,云南松林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840107.jpg,,,,,,,,,, +易门小檗,Berberis pruinosa var. barresiana,尹文清,291,1957/3/21,云南,1450,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0203173.jpg,,,,,,,,,, +粉叶小檗,Berberis pruinosa var. pruinosa,王启无,62615,19350400,云南省,0,Thorny shrub,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0176949.jpg,,,,,,,,,, +粉叶小檗,Berberis pruinosa var. pruinosa,李延辉,119,19570418,云南省 ,2300,山谷,岭顶,疏林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0176889.jpg,,,,,,,,,, +普兰小檗,Berberis pulangensis,青藏队,76-8494,19760716,西藏自治区,3700,山坡 村寨边,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00935237.jpg,,,,,,,,,, +普兰小檗,Berberis pulangensis,王辰,,20110623,西藏,4100~4500,草甸,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0047930.jpg,,,,,,,,,, +延安小檗,Berberis purdomii,傅坤俊,7524,19530903,陕西省,1380,山坡黄土上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01032569.jpg,,,,,,,,,, +延安小檗,Berberis purdomii,Jack & Rehder,167,,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01032570.jpg,,,,,,,,,, +短序小檗,Berberis racemulosa,青藏队植被组,6879,19750604,西藏自治区,3400,河谷山坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840005.jpg,,,,,,,,,, +短序小檗,Berberis racemulosa,李渤生,10100,19870620,新疆维吾尔自治区,2100,河边时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01352402.jpg,,,,,,,,,, +砂生小檗,Berberis sabulicola,吴征镒等,75-342,19750619,西藏自治区,3810,河砾岩缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840006.jpg,,,,,,,,,, +血红小檗,Berberis sanguinea,田景全,308,19600804,北京市,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01839202.jpg,,,,,,,,,, +血红小檗,Berberis sanguinea,780工程,800,19781120,云南省,2500,打莺山麓 村旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01479901.jpg,,,,,,,,,, +血红小檗,Berberis sanguinea,蒋兴麟,33697,19530402,四川省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01031958.jpg,,,,,,,,,, +短苞小檗,Berberis sherriffii,"唐宇丹,林秦文",2010-100,20100919,西藏自治区,2925,东南向沟谷南坡 潮湿 腐殖土生长,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036095.jpg,,,,,,,,,, +短苞小檗,Berberis sherriffii,,1115,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037153.jpg,,,,,,,,,, +锡金小檗,Berberis sikkimensis,PE西藏队,PE5461,20170831,西藏自治区,3792,路边山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02333135.jpg,,,,,,,,,, +锡金小檗,Berberis sikkimensis,M.Mikage et al.,9551017,19950916,,1450~2710,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900769.jpg,,,,,,,,,, +独龙小檗,Berberis taronensis,"西藏队,张永田,郎楷永",723,19650720,西藏自治区,2030,山坡灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01031878.jpg,,,,,,,,,, +独龙小檗,Berberis taronensis,蓝顺彬,685,19860504,云南省,2200,石炭缝,,无花无果,https://image.cvh.ac.cn/files/l/PE/01031872.jpg,,,,,,,,,, +里龙小檗,Berberis taylorii,黄荣福,373,19890909,西藏自治区,3100,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/155897.jpg,,,,,,,,,, +粉叶小檗,Berberis temolaica,PE西藏队,PE6798,20170917,西藏自治区,3971,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333391.jpg,,,,,,,,,, +林芝小檗,Berberis temolaica,庄平 冯正波 张超,980174,19980929,四川省,4300,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/019708.jpg,,,,,,,,,, +,Berberis temolaica,"Kingdon-Ward, Francis",5773,13-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00259019.jpg,,,,,,,,,, +毛序小檗,Berberis trichiata,青藏科考队,11833,19760609,西藏自治区,3500,云杉林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935246.jpg,,,,,,,,,, +毛序小檗,Berberis trichiata,高信芬、朱章明、鞠文彬、金伟涛,14686,20110729,西藏,3090,河谷灌丛,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0224300.jpg,,,,,,,,,, +隐脉小檗,Berberis tsarica,李渤生,11045,19870817,西藏自治区,4300,山坡及覆沙谷地成群落,,无花无果,https://image.cvh.ac.cn/files/l/PE/01352404.jpg,,,,,,,,,, +察瓦龙小檗,Berberis tsarongensis,K. M. Feng ,4221,19400527,云南省,2900~3300,杂林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01033049.jpg,,,,,,,,,, +察瓦龙小檗,Berberis tsarongensis,生物采集团,5070,19410800,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01033050.jpg,,,,,,,,,, +尤里小檗,Berberis ulicina,李渤生,10737,19870721,新疆维吾尔自治区,3600,草丛中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352424.jpg,,,,,,,,,, +尤里小檗,Berberis ulicina,,K109,19870901,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01352412.jpg,,,,,,,,,, +阴生小檗,Berberis umbratica,"应俊生,洪德元",650285,19650619,西藏自治区,3340,南坡,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840004.jpg,,,,,,,,,, +小檗属,Berberis umbratica,倪志诚 次多 次旦 廖世荣,1936,19810902,西藏,3400,河谷路旁灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001910.jpg,,,,,,,,,, +匙叶小檗,Berberis vernae,廉永善等,96846,19960820,甘肃省,2100,干热河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840139.jpg,,,,,,,,,, +匙叶小檗,Berberis vernae,杜庆等,407,19810902,青海省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01805067.jpg,,,,,,,,,, +疣枝小檗,Berberis verruculosa,D.E.Boufford et al.,37670,20070516,甘肃省,200~2230,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814637.jpg,,,,,,,,,, +疣枝小檗,Berberis verruculosa,,9,,北京市,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/01811986.jpg,,,,,,,,,, +疣枝小檗,Berberis verruculosa,Harry Smith,12820,19341016,四川省,2900,Frutex metralis in prato aprico,,无花有果,https://image.cvh.ac.cn/files/l/PE/01807913.jpg,,,,,,,,,, +可食小檗,Berberis vinifera,"张永田,郞楷永",3344,19660512,西藏自治区,2500,山坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840003.jpg,,,,,,,,,, +变绿小檗,Berberis virescens,Ho Ting-nung et al.,102,19930721,青海省,3100~3200,"Steep crumbling mudstone slopes,some rocky outcrops near river,Artemisia dubia and Stipa,of the bare,Amongst Artemesia dubia",,有花无果,https://image.cvh.ac.cn/files/l/PE/01840127.jpg,,,,,,,,,, +变绿小檗,Berberis virescens,"李文华,胡勇",H81-33,19810526,云南省,3100,高山松疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840109.jpg,,,,,,,,,, +变绿小檗,Berberis virescens,T.Naito et al. ,1245,19860520,西藏自治区,3000~3300,In open place or in thickets along stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840044.jpg,,,,,,,,,, +古宗金花小檗,Berberis wilsoniae var. guhtzunica,T.T.Yu,14840,19371205,云南省,3100,灌林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050356.jpg,,,,,,,,,, +古宗金花小檗,Berberis wilsoniae var. guhtzunica,青藏科考队,11709,19760603,西藏自治区,2300,干旱山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01840032.jpg,,,,,,,,,, +古宗金花小檗,Berberis wilsoniae var. guhtzunica,Harry Smith,4724,19220922,四川省,3500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037071.jpg,,,,,,,,,, +,Berberis wilsoniae var. wilsoniae,滇东北队,1099,19720928,云南省,1870,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01036938.jpg,,,,,,,,,, +,Berberis wilsoniae var. wilsoniae,Hary Smith,2306,19170622,四川省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01036934.jpg,,,,,,,,,, +,Berberis wilsoniae var. wilsoniae,刘,784175,19780812,重庆市,1700,岩边石蓬中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01036924.jpg,,,,,,,,,, +,Berberis xanthophlaea,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003043,20171128,西藏,3108,Mixed coniferous broad leaved forest,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1456524.jpg,,,,,,,,,, +黄皮小檗,Berberis xanthophlaea,倪志诚,次多,次旦,廖世荣,2374,19810919,西藏自治区,3000,山谷灌丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0001849.jpg,,,,,,,,,, +云南小檗,Berberis yunnanensis,M.Iabbe Delavay,s.n.,18870900,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922461.jpg,,,,,,,,,, +云南小檗,Berberis yunnanensis,青藏队,3934,19810809,四川省,3900~4000,山沟内园柏冷杉林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01030768.jpg,,,,,,,,,, +察隅小檗,Berberis zayulana,张林、李星月、张晓严,3-479,20180621,西藏,3679,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023915.jpg,,,,,,,,,, +察隅小檗,Berberis zayulana,CMTTE,CMTTE808,20120807,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0106274.jpg,,,,,,,,,, +腋花勾儿茶,Berchemia edgeworthii,陈又生等,45,20111008,西藏自治区,3713,干山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967737.jpg,,,,,,,,,, +腋花勾儿茶,Berchemia edgeworthii,青藏队,14628,19830909,四川省,2750,河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853892.jpg,,,,,,,,,, +黄背勾儿茶,Berchemia flavescens,PE西藏考察队,7459,20180617,西藏自治区,2808,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332793.jpg,,,,,,,,,, +黄背勾儿茶,Berchemia flavescens,"贾潇洒,于杰",3869,20100731,四川省,1890,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059650.jpg,,,,,,,,,, +黄背勾儿茶,Berchemia flavescens,"李良千,王忠涛,杜玉芬,卫然",184,20110911,甘肃省,2100~2245,山坡沟边林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914100.jpg,,,,,,,,,, +多花勾儿茶,Berchemia floribunda,巴山采集队,3252,20100722,陕西省,1201,沟边灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059689.jpg,,,,,,,,,, +多花勾儿茶,Berchemia floribunda,巴山采集队,3663,20100727,四川省,1005,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059686.jpg,,,,,,,,,, +大果勾儿茶,Berchemia hirtella,许溯桂,59-4892,19590507,云南省,1500,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01637191.jpg,,,,,,,,,, +大果勾儿茶,Berchemia hirtella,王启无,73956,19360500,云南省 ,1540,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0378255.jpg,,,,,,,,,, +细梗勾儿茶,Berchemia longipedicellata,"于胜祥,候元同等",6165,20110830,西藏自治区,,沿途路旁山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003564.jpg,,,,,,,,,, +细梗勾儿茶,Berchemia longipedicellata,滇黔桂区系队,50060,19910730,贵州省,1250~1300,石山常绿林林缘岩石上,藤灌,无花有果,https://image.cvh.ac.cn/files/l/KUN/0416713.jpg,,,,,,,,,, +多叶勾儿茶,Berchemia polyphylla,巴山采集队,6293,20120708,四川省,554~610,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066170.jpg,,,,,,,,,, +多叶勾儿茶,Berchemia polyphylla,于胜祥,YSX0085,20100626,广西壮族自治区,1800,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878104.jpg,,,,,,,,,, +多叶勾儿茶,Berchemia polyphylla,"税玉民,黄素华,陈文红",40487,20031120,云南省,1800,岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01878103.jpg,,,,,,,,,, +勾儿茶,Berchemia sinica,林秦文,2013-060,20130528,云南省,1600~1750,田边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044951.jpg,,,,,,,,,, +勾儿茶,Berchemia sinica,云台山采集队,720,20090611,河南省,,山顶草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043569.jpg,,,,,,,,,, +勾儿茶,Berchemia sinica,孔冬梅,k0283,20140707,山西省,1373,向阳坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02035279.jpg,,,,,,,,,, +云南勾儿茶,Berchemia yunnanensis,"于胜祥,候元同等",4655,20110730,四川省,3046,河边湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003562.jpg,,,,,,,,,, +云南勾儿茶,Berchemia yunnanensis,"于胜祥,候元同等",5173,20110810,西藏自治区,3046,沿途路旁,山坡沙质,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003558.jpg,,,,,,,,,, +云南勾儿茶,Berchemia yunnanensis,红水河植物考察队,225,19890617,云南省,2500,石灰杜鹃高山栎灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999528.jpg,,,,,,,,,, +舌岩白菜,Bergenia pacumbis,,460,19720607,西藏自治区,2380,岩石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00861785.jpg,,,,,,,,,, +舌岩白菜,Bergenia pacumbis,俞德俊,11487,1938-06-,云南省,3200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0144948.jpg,,,,,,,,,, +岩白菜,Bergenia purpurascens,PE西藏考察队,7518,20180618,西藏自治区,4160,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333355.jpg,,,,,,,,,, +岩白菜,Bergenia purpurascens,Jin Xiaohua et Lai Yangjun,10952,20110604,,2900~3300,alpine shrub forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02025109.jpg,,,,,,,,,, +岩匙,Berneuxia thibetica,"朱大海,王永,王炳锋,苏小镔",210,20020422,四川省,2100,山坡上部,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115804.jpg,,,,,,,,,, +岩匙,Berneuxia thibetica,"董洪进,王泽欢,尹志坚",WM-0160,20160427,云南省,1500~1600,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091136.jpg,,,,,,,,,, +岩匙,Berneuxia thibetica,"李渤生,程树志",1258,19821012,西藏自治区,3250,冷杉林下时见草本,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077776.jpg,,,,,,,,,, +,Betula albo-sinensis,"川西队,关克俭,王文采等",1273,19630802,四川省,3400,山坡疏林 与冷杉混交,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092138.jpg,,,,,,,,,, +,Betula albo-sinensis,候喜祥,676,19730531,陕西省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0366504.jpg,,,,,,,,,, +红桦,Betula albo-sinensis,黄河调察队,3067,19560908,甘肃省,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0528685.jpg,,,,,,,,,, +西桦,Betula alnoides,青藏队植被组,3125,19740907,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02060145.jpg,,,,,,,,,, +西桦,Betula alnoides,,Q2,19730800,广西壮族自治区,900,砂至岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984154.jpg,,,,,,,,,, +西桦,Betula alnoides,780植被组,507,19781121,云南省,1980,疏林中沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01788579.jpg,,,,,,,,,, +岩桦,Betula calcicola,T.T.Yu,5350,19370509,云南省,2700,along thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/01062066.jpg,,,,,,,,,, +岩桦,Betula calcicola,C.W.Wang,66563,19350900,西藏自治区,3500,Border of Oak forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00767351.jpg,,,,,,,,,, +长穗桦,Betula cylindrostachya,,420,19730900,广西壮族自治区,700,砂质岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984190.jpg,,,,,,,,,, +长穗桦,Betula cylindrostachya,李渤生,Y0691,19781216,云南省,1500,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01788581.jpg,,,,,,,,,, +长穗桦,Betula cylindrostachya,"李渤生,程树志等",4074,19830415,西藏自治区,1800,林后山达让死造河谷林中多见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494001.jpg,,,,,,,,,, +,Betula delavayi var. delavayi,D.E.Boufford et al.,41864,20090904,西藏自治区,3900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02015308.jpg,,,,,,,,,, +高山桦,Betula delavayi var. delavayi,方震东、张翔宇、陈涛、张晓均,DJDC-382,20160417,云南省,1197,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000317.jpg,,,,,,,,,, +多脉高山桦,Betula delavayi var. polyneura,K.M.Feng,9061,19420818,云南省,2600,杂林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00020153.jpg,,,,,,,,,, +狭翅桦,Betula fargesii,赵常明,EX0522,20070907,湖北省,2002,阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01788934.jpg,,,,,,,,,, +狭翅桦,Betula fargesii,戴天伦,105690,19580714,重庆市,2300,生在乔木林中石头上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00800005.jpg,,,,,,,,,, +狭翅桦,Betula fargesii,陶玉辉,55316,19570612,四川省,2350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00800004.jpg,,,,,,,,,, +香桦,Betula insignis,J.I.Jeon et al.,SI1278,20100810,四川省,3600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900379.jpg,,,,,,,,,, +香桦,Betula insignis,武陵山考察队,2244,19880729,贵州省,1000,山坡杂木林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01802351.jpg,,,,,,,,,, +香桦,Betula insignis,武陵考察队,1820,19881006,湖南省,900,疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01340797.jpg,,,,,,,,,, +九龙桦,Betula jiulungensis,应俊生,4780,19601009,四川省,2400,,乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/00020159.jpg,,,,,,,,,, +九龙桦,Betula jiulungensis,,845,19590615,四川,,山坡河边,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM701800098.jpg,,,,,,,,,, +亮叶桦,Betula luminifera,巴山采集队,5813,20120628,四川省,1270,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059305.jpg,,,,,,,,,, +亮叶桦,Betula luminifera,丁小平,134,20050414,江西省,250,山坡 红壤 光中 湿度中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043914.jpg,,,,,,,,,, +白桦,Betula platyphylla,PE西藏队,PE6880,20170918,西藏自治区,,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333320.jpg,,,,,,,,,, +白桦,Betula platyphylla,"川西队,关克俭,王文采等",392,19630726,四川省,,杂木林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092146.jpg,,,,,,,,,, +白桦,Betula platyphylla,"傅德志,刘夙,王英伟等",237,20070722,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043965.jpg,,,,,,,,,, +矮桦,Betula potaninii,"川西队,关克俭,王文采等",1484,19630811,四川省,2600,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092141.jpg,,,,,,,,,, +矮桦,Betula potaninii,白龙江考察队,835,19980726,甘肃省,2700,山地 疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01560922.jpg,,,,,,,,,, +菱苞桦,Betula rhombibracteata,K.M.Feng,5675,19400720,云南省,2500,沟边 杂林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/00037909.jpg,,,,,,,,,, +天山桦,Betula tianschanica,"清水建美,近田文弘等",49,19910720,新疆维吾尔自治区,2000,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01467488.jpg,,,,,,,,,, +糙皮桦,Betula utilis,PE西藏队,PE6679,20170914,西藏自治区,3934,路边山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02333972.jpg,,,,,,,,,, +糙皮桦,Betula utilis,泛喜马拉雅植物志巴基斯坦采集队,FPH-0385,20120621,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02005132.jpg,,,,,,,,,, +糙皮桦,Betula utilis,华南队,1881,19890926,广西壮族自治区,1300,山地山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01984189.jpg,,,,,,,,,, +婆婆针,Bidens bipinnata,张彩飞,964,20090000,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247724.jpg,,,,,,,,,, +婆婆针,Bidens bipinnata,刘淼等,A40089,20050727,安徽省,300,山坡林下水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235820.jpg,,,,,,,,,, +婆婆针,Bidens bipinnata,"刘,赵",492,19930910,山西省,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235812.jpg,,,,,,,,,, +柳叶鬼针草,Bidens cernua,"Li Zhenyu,Jin Xiaohua,Tu Yanli etc.",T061,20160912,西藏自治区,2900,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233404.jpg,,,,,,,,,, +柳叶鬼针草,Bidens cernua,D.E.Boufford,43908,20150920,,90,alluvial woods beside river and at edge of water along setback from main channel of river at edge of water in wet saturated soil and in shallow water,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115040.jpg,,,,,,,,,, +小花鬼针草,Bidens parviflora,周口店考察队,222,20080927,北京市,126,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112005.jpg,,,,,,,,,, +小花鬼针草,Bidens parviflora,李才贵,385,19840531,山西省,1860,山沟旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081405.jpg,,,,,,,,,, +小花鬼针草,Bidens parviflora,云台山采集队,192,20080922,河南省,,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040412.jpg,,,,,,,,,, +狼杷草,Bidens tripartita,"刘正宇,张军等",RQHZ05853,20151011,四川省,339,草丛冲积土 荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115323.jpg,,,,,,,,,, +狼杷草,Bidens tripartita,M.Kopomkiu,1119,19180802,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101947.jpg,,,,,,,,,, +熏倒牛,Biebersteinia heterostemon,何叶祺,4357,19570724,甘肃省,2100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02103138.jpg,,,,,,,,,, +熏倒牛,Biebersteinia heterostemon,吴玉虎等,3545,19860723,青海省,2600,干山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02103136.jpg,,,,,,,,,, +熏倒牛,Biebersteinia heterostemon,"倪志诚,次多,次旦",3114,19820823,西藏自治区,2900,江边沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02103137.jpg,,,,,,,,,, +高山熏倒牛,Biebersteinia odora,青藏队,8681,19760817,西藏自治区,5100,高山流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00108465.jpg,,,,,,,,,, +高山熏倒牛,Biebersteinia odora,,454,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00108467.jpg,,,,,,,,,, +宽叶秦岭藤,Biondia hemsleyana,白水江考察队,1112,20060704,甘肃省,1000,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01358922.jpg,,,,,,,,,, +宽叶秦岭藤,Biondia hemsleyana,"李馨,周继西",72626,19571019,四川省,2400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01019172.jpg,,,,,,,,,, +宽叶秦岭藤,Biondia hemsleyana,"熊济华,周子林",90771,19570509,重庆市,1400,林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01019173.jpg,,,,,,,,,, +黑水藤,Biondia insignis,生态室高原组,15452,19800910,西藏自治区,2300~2600,常绿阔叶林中时见 小藤本,,无花无果,https://image.cvh.ac.cn/files/l/PE/01506095.jpg,,,,,,,,,, +黑水藤,Biondia insignis,四川省植被调查队,稻2275,19730628,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132635.jpg,,,,,,,,,, +黑水藤,Biondia insignis,,70954,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01019180.jpg,,,,,,,,,, +长序梗秦岭藤,Biondia longipes,应俊生,3537,19600522,四川省,2450,灌丛中,藤本缠绕,有花无果,https://image.cvh.ac.cn/files/l/PE/01432792.jpg,,,,,,,,,, +宝兴藤,Biondia pilosa,四川大学生物系分类教研组,23485,19570802,四川省,2750,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01019185.jpg,,,,,,,,,, +宝兴藤,Biondia pilosa,王启无,89431,19400520,云南省,700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0517954.jpg,,,,,,,,,, +短叶秦岭藤,Biondia yunnanensis,T.P.Wang,8042,19371028,甘肃省,800,road side in valley,,有花有果,https://image.cvh.ac.cn/files/l/PE/01019186.jpg,,,,,,,,,, +短叶秦岭藤,Biondia yunnanensis,E.E. Maire,空,空,云南,2550,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005619.jpg,,,,,,,,,, +短叶秦岭藤,Biondia yunnanensis,K.T. Fu,2168,1937/10/21,四川省,2100,,藤本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0020704.jpg,,,,,,,,,, +小白及,Bletilla formosana,徐洪贵,6481,19950709,四川省,1200,岩坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033552.jpg,,,,,,,,,, +小白及,Bletilla formosana,罗安国,1538,19590515,重庆市,1160,阴山坡 火烧地 黑腐质多,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033218.jpg,,,,,,,,,, +小白及,Bletilla formosana,彭镜毅,6624,19840508,台湾省,0~30,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032893.jpg,,,,,,,,,, +黄花白芨,Bletilla ochracea,广西队,658,19530600,广西壮族自治区,,荒山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997691.jpg,,,,,,,,,, +黄花白芨,Bletilla ochracea,蓝顺彬,448,19850623,云南省,220,山坡草丛背阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01945742.jpg,,,,,,,,,, +黄花白芨,Bletilla ochracea,巴山采集队,5466,20110704,四川省,1000,阴湿岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873218.jpg,,,,,,,,,, +白及,Bletilla striata,"关克俭,汪劲武,李朝銮",518,19640514,四川省,920,石边上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230345.jpg,,,,,,,,,, +白及,Bletilla striata,Miyoshi Furuse,13519,19790510,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033327.jpg,,,,,,,,,, +白及,Bletilla striata,刘正宇,20975,19960610,云南省,2100,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032986.jpg,,,,,,,,,, +具腺艾纳香,Blumea adenophora,"吴征镒,费德罗夫,林契夫斯基等",1388,19550529,云南省,1800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00569084.jpg,,,,,,,,,, +具腺艾纳香,Blumea adenophora,G.Forrest,7837,19120000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0578161.jpg,,,,,,,,,, +,Blumea axillaris,"蔡杰|52, 杨俊波",15CS10895,20150604,海南,,水稻田边灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375856.jpg,,,,,,,,,, +,Blumea axillaris,"刘恩德, 邹娇,王存花, 陈志坚",LED9626,20200423,云南,,干热河谷农田边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1495540.jpg,,,,,,,,,, +,Blumea axillaris,教学实习队,s.n.,19760510,福建,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU078189.jpg,,,,,,,,,, +尖齿艾纳香,Blumea oxyodonta,"吴征镒,费德罗夫,林契夫斯基等",1146,19550518,云南省,1200,潮湿热带林,,有花有果,https://image.cvh.ac.cn/files/l/PE/00569508.jpg,,,,,,,,,, +尖齿艾纳香,Blumea oxyodonta,刘慎谔,18279,19410515,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0578889.jpg,,,,,,,,,, +纤枝艾纳香,Blumea veronicifolia,,6036,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00569669.jpg,,,,,,,,,, +纤枝艾纳香,Blumea veronicifolia,G.Forrest,7560,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0578975.jpg,,,,,,,,,, +扁穗草,Blysmus compressus,秦仁昌,1528,19560808,新疆维吾尔自治区,2000,谷底 河滩湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230034.jpg,,,,,,,,,, +扁穗草,Blysmus compressus,青藏队植被组,13031,19760718,西藏自治区,4600,河漫滩草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076059.jpg,,,,,,,,,, +扁穗草,Blysmus compressus,A.Kneucker,s.n.,19010605,,130,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02012979.jpg,,,,,,,,,, +,Blysmus rufus,,243,19630710,内蒙古自治区,,沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555988.jpg,,,,,,,,,, +,Blysmus rufus,Erik Asplund,s.n.,19460624,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01541803.jpg,,,,,,,,,, +,Blysmus rufus,青藏队,870245,19870626,新疆维吾尔自治区,3000,山坡 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01541795.jpg,,,,,,,,,, +华扁穗草,Blysmus sinocompressus,PE西藏考察队,7542,20180619,西藏自治区,4374,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331966.jpg,,,,,,,,,, +华扁穗草,Blysmus sinocompressus,赤峰采集队,2-072,20080727,内蒙古自治区,1327,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02005999.jpg,,,,,,,,,, +华扁穗草,Blysmus sinocompressus,"李振宇,范晓虹,傅连中等",12370,20120727,新疆维吾尔自治区,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02005506.jpg,,,,,,,,,, +水筛,Blyxa japonica,C.W.Wang,76072,19360700,云南省,1250,clear water pond mud substratum forest glade,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109880.jpg,,,,,,,,,, +水筛,Blyxa japonica,赵佐成,615,19810802,广西壮族自治区,4,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109878.jpg,,,,,,,,,, +水筛,Blyxa japonica,PE-古蔺考察队,415,20100905,四川省,1502~850,稻田水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911314.jpg,,,,,,,,,, +白面苎麻,Boehmeria clidemioides var. clidemioides,吴增源,WuZY-09413,20090817,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261583.jpg,,,,,,,,,, +白面苎麻,Boehmeria clidemioides var. clidemioides,刘杰,吴增源,liuj-10675,20101005,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261585.jpg,,,,,,,,,, +白面苎麻,Boehmeria clidemioides var. clidemioides,植物DNA条形码 滇东南考察队,GBOWS843,20100114,云南省,1375,常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261586.jpg,,,,,,,,,, +,Boehmeria glomerulifera,马玖,230,20090127,云南省,800,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036087.jpg,,,,,,,,,, +,Boehmeria glomerulifera,"李渤生,程树志",2782,19830207,西藏自治区,1100~850,阴坡Ficus林中主要灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/00527878.jpg,,,,,,,,,, +,Boehmeria macrophylla var. canescens,北京队,893143,19891112,广西壮族自治区,1100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985135.jpg,,,,,,,,,, +,Boehmeria macrophylla var. canescens,Gaoligong Shan Biodiversity Survey,25451,20050803,云南省,1130,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847813.jpg,,,,,,,,,, +密花苎麻,Boehmeria penduliflora,覃海宁等,2219,19981105,广西壮族自治区,700,山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01985153.jpg,,,,,,,,,, +密花苎麻,Boehmeria penduliflora,"王印政,彭华等",3787,19981014,云南省,1600,山地,路旁,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01869158.jpg,,,,,,,,,, +密花苎麻,Boehmeria penduliflora,L.Q.Li et al.,194,20041000,,100,in secondary forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846711.jpg,,,,,,,,,, +歧序苎麻,Boehmeria polystachya,"姜恕,赵从福",252,19670930,西藏自治区,2100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01858878.jpg,,,,,,,,,, +歧序苎麻,Boehmeria polystachya,H.T.Tsai,56873,19340209,云南省,1750,in forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01858868.jpg,,,,,,,,,, +小赤麻,Boehmeria spicata,C.J.Chen,s.n.,19981013,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073621.jpg,,,,,,,,,, +小赤麻,Boehmeria spicata,Kenji Horie,s.n.,19740710,,200,学校里林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068229.jpg,,,,,,,,,, +小赤麻,Boehmeria spicata,"刘杰,吴增源",liuj-10743,20101007,浙江省,1023,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062419.jpg,,,,,,,,,, +阴地苎麻,Boehmeria umbrosa,"关克俭,王文采",2613,19630824,四川省,1400,山谷灌丛下或灌丛边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093308.jpg,,,,,,,,,, +阴地苎麻,Boehmeria umbrosa,北京所横断山队,1257,19810710,云南省,1880,常绿阔叶林水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862383.jpg,,,,,,,,,, +,Boenninghausenia albiflora,"王中仁,张志宪",C0147,19800828,四川省,1040,山坡林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02248778.jpg,,,,,,,,,, +,Boenninghausenia albiflora,戴天伦,105580,19580708,重庆市,1700,草坪中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02248777.jpg,,,,,,,,,, +,Boenninghausenia albiflora,李中提,600011,19580626,广西壮族自治区,,草地,阴处,疏林下,灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02248775.jpg,,,,,,,,,, +石椒草,Boenninghausenia sessilicarpa,"陈伟烈,陈家瑞,郭柯,闫建平",5914,19840605,四川省,2200,干旱河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02248772.jpg,,,,,,,,,, +石椒草,Boenninghausenia sessilicarpa,蓝顺彬,129,19840814,云南省,2000,山坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02248766.jpg,,,,,,,,,, +石椒草,Boenninghausenia sessilicarpa,FLPH Tibet Expedition,12-1904,20120919,西藏自治区,3000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01966830.jpg,,,,,,,,,, +黄细心,Boerhavia diffusa,青藏队,644,19810602,云南省,1380,金沙江河谷路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230772.jpg,,,,,,,,,, +黄细心,Boerhavia diffusa,Wayne D.Longbottom et al.,"12,600",20090504,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922349.jpg,,,,,,,,,, +黄细心,Boerhavia diffusa,T.Y.A.Yang et al.,14906,20020525,台湾省,4,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920278.jpg,,,,,,,,,, +,Bolboschoenus planiculmis,Ming-Jer Jung,3561,20081008,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01950167.jpg,,,,,,,,,, +,Bolboschoenus planiculmis,"阳文静,张彩飞",80605011,20080605,内蒙古自治区,1560,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01852926.jpg,,,,,,,,,, +,Bolboschoenus planiculmis,Eisuke Hayasaka,2804,19990818,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01523471.jpg,,,,,,,,,, +波裂叶刺儿瓜,Bolbostemma biglandulosum var. sinuato-lobulatum,赵重蕴,21671,19390915,云南省,,,藤本,有花有果,https://image.cvh.ac.cn/files/l/PE/00032035.jpg,,,,,,,,,, +,Bolocephalus saussureoides,"Y.S.Chen,Z.Y.Chang,M.Deng etc.",13-0725,20130808,西藏自治区,,流水岩石坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038004.jpg,,,,,,,,,, +丁座草,Boschniakia himalaica,"H.Li,S.X.Yang,R.Li etc.",892,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112558.jpg,,,,,,,,,, +丁座草,Boschniakia himalaica,"李渤生,倪志诚,程树志",6685,19830818,西藏自治区,4000,山顶灌丛中时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/02080952.jpg,,,,,,,,,, +,Bothriochloa bladhii var. bladhii,Liu Yanchun,487,20101001,云南省,1858,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089453.jpg,,,,,,,,,, +,Bothriochloa ischaemum,秦仁昌,2366,19560825,新疆维吾尔自治区,990,干旱坡脚成片生,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230491.jpg,,,,,,,,,, +,Bothriochloa ischaemum,老铁山采集队,357,20080710,辽宁省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089630.jpg,,,,,,,,,, +,Bothriochloa ischaemum,王淑茹,246,19650906,甘肃省,2100,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088920.jpg,,,,,,,,,, +云南斑种草,Bothriospermum hispidissimum,邱炳云,51764,19560427,云南省,,田中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997675.jpg,,,,,,,,,, +云南斑种草,Bothriospermum hispidissimum,邱炳云,50753,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0534857.jpg,,,,,,,,,, +狭苞斑种草,Bothriospermum kusnezowii,石雷 林秦文,2011052,20110415,北京市,80,河边公路边荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112329.jpg,,,,,,,,,, +狭苞斑种草,Bothriospermum kusnezowii,老铁山采集队 刘冰,319,20080710,辽宁省,,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883029.jpg,,,,,,,,,, +狭苞斑种草,Bothriospermum kusnezowii,白水江采集队,4815,20070512,甘肃省,1500,山坡杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800567.jpg,,,,,,,,,, +多苞斑种草,Bothriospermum secundum,刘淼等,A100182,20050519,安徽省,200,生于路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111177.jpg,,,,,,,,,, +多苞斑种草,Bothriospermum secundum,郭成勇,054074-1,20050502,山东省,350,山坡,荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111176.jpg,,,,,,,,,, +多苞斑种草,Bothriospermum secundum,李振宇,11766,20090425,重庆市,400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110385.jpg,,,,,,,,,, +柔弱斑种草,Bothriospermum zeylanicum,刘正宇,973552,19990315,重庆市,650,林缘荒地草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111175.jpg,,,,,,,,,, +柔弱斑种草,Bothriospermum zeylanicum,覃海宁等,2225,19981105,广西壮族自治区,750,山地,山坡,石灰岩石山,,无花有果,https://image.cvh.ac.cn/files/l/PE/02009544.jpg,,,,,,,,,, +柔弱斑种草,Bothriospermum zeylanicum,C.M.Wang,W05504,20020417,台湾省,25,On waste land.,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916173.jpg,,,,,,,,,, +星毛短舌菊,Brachanthemum pulvinatum,,296,19580724,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00993881.jpg,,,,,,,,,, +星毛短舌菊,Brachanthemum pulvinatum,中国科学院新疆综合考察队,KK-540,19590605,新疆维吾尔自治区,3450,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00993880.jpg,,,,,,,,,, +星毛短舌菊,Brachanthemum pulvinatum,中国科学院青甘调查队,814,19590721,青海省,3160,冲积扇细砂碎石,,有花有果,https://image.cvh.ac.cn/files/l/PE/00993874.jpg,,,,,,,,,, +臂形草,Brachiaria eruciformis,汤宗孝,1963,19830915,四川省,1500,山坡 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01607112.jpg,,,,,,,,,, +臂形草,Brachiaria eruciformis,"田效文,汤宗孝,张正华",985,19810830,云南省,1680,石质山坡灌丛草场,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487780.jpg,,,,,,,,,, +臂形草,Brachiaria eruciformis,厦门大学队,s.n.,,福建省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00285518.jpg,,,,,,,,,, +,Brachiaria kurzii,生态室高原组,11503,19800730,西藏自治区,1200,山坡空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01400620.jpg,,,,,,,,,, +,Brachiaria kurzii,青藏队,8072,19820717,云南省,1700,山坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00285521.jpg,,,,,,,,,, +,Brachiaria villosa var. villosa,陇西山考察队,2703,19910926,福建省,,路边 草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01561560.jpg,,,,,,,,,, +毛臂形草,Brachiaria villosa var. villosa,刘艳春,492,20101001,云南省 ,1858,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221224.jpg,,,,,,,,,, +毛臂形草,Brachiaria villosa var. villosa,刘艳春,597,20101020,云南省,2192,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221223.jpg,,,,,,,,,, +短距苞叶兰,Brachycorythis galeandra,广西队,331,19550611,广西壮族自治区,400,山地,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01997684.jpg,,,,,,,,,, +短距苞叶兰,Brachycorythis galeandra,安明态,2-248,20030714,贵州省,720,山坡 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01550426.jpg,,,,,,,,,, +短距苞叶兰,Brachycorythis galeandra,深圳考察队,1070,19970522,广东省,450,on slope in open place,,无花无果,https://image.cvh.ac.cn/files/l/PE/01449318.jpg,,,,,,,,,, +草地短柄草,Brachypodium pratense,"Liu Yanchun,Paterson David",305,20100821,云南省,2063,beside the road,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089270.jpg,,,,,,,,,, +草地短柄草,Brachypodium pratense,生态室高原组,15577,19800916,西藏自治区,3100,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01400621.jpg,,,,,,,,,, +小颖短柄草,Brachypodium sylvaticum var. breviglume,中国科学院西南综考队川滇黔接壤分队,771,19650917,四川省,3100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01781205.jpg,,,,,,,,,, +小颖短柄草,Brachypodium sylvaticum var. breviglume,青藏队植被组,9561,19760821,西藏自治区,4150,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01400628.jpg,,,,,,,,,, +小颖短柄草,Brachypodium sylvaticum var. breviglume,鄂神农架队,21992,19760815,湖北省,2000,山坡 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01056116.jpg,,,,,,,,,, +细珠短柄草,Brachypodium sylvaticum var. gracile,李振宇等,87-1969,19870823,四川省,760,山坡路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929985.jpg,,,,,,,,,, +细珠短柄草,Brachypodium sylvaticum var. gracile,辛景三,50521,1954-07-,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0102172.jpg,,,,,,,,,, +短瓣花,Brachystemma calycinum,红水河植物考察队,89-30,19890417,广西壮族自治区,600,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986163.jpg,,,,,,,,,, +短瓣花,Brachystemma calycinum,"周浙昆,费勇,税玉民等",447,19991024,云南省,2500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01859994.jpg,,,,,,,,,, +短瓣花,Brachystemma calycinum,G.Forrest,27781,19250100,,1333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01624594.jpg,,,,,,,,,, +,Brachytome wallichii,青藏队,8938,19820806,云南省,1900,山坡常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01803214.jpg,,,,,,,,,, +,Brachytome wallichii,刘心沂,25772,19360319,海南省,,斜坡向西 中等土 野生密林中 密荫干燥,,有花有果,https://image.cvh.ac.cn/files/l/PE/00635115.jpg,,,,,,,,,, +,Brassaiopsis aculeata,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",12244,22-Feb-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00042502.jpg,,,,,,,,,, +,Brassaiopsis angustifolia,"程树志,李渤生",214,19820818,西藏自治区,2200~2500,铁杉常绿阔叶林下常见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00940168.jpg,,,,,,,,,, +狭叶罗伞,Brassaiopsis angustifolia,付雨节,97,19801012,广西壮族自治区,,土山,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00344085.jpg,,,,,,,,,, +狭叶罗伞,Brassaiopsis angustifolia,程树志、李渤生,,19820818,西藏,,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2014499.jpg,,,,,,,,,, +,Brassaiopsis ciliata,覃海宁等,2005,19981103,广西壮族自治区,1350,山地,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991713.jpg,,,,,,,,,, +,Brassaiopsis ciliata,PE-古蔺考察队,766,20100905,四川省,1151~1610,山谷林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01864594.jpg,,,,,,,,,, +,Brassaiopsis ciliata,王印政等,4046,19981016,云南省,1700,山地山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802286.jpg,,,,,,,,,, +,Brassaiopsis fatsioides,傅德志等,87-0672,19870512,四川省,1650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01514195.jpg,,,,,,,,,, +,Brassaiopsis fatsioides,H.T.Tsai,51155,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00940261.jpg,,,,,,,,,, +,Brassaiopsis fatsioides,"李渤生,程树志",5187,19830623,西藏自治区,2300~2400,Gy mo林下时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00940262.jpg,,,,,,,,,, +罗伞,Brassaiopsis glomerulata,覃海宁等,1172,19980423,广西壮族自治区,1000,山地山谷密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802880.jpg,,,,,,,,,, +罗伞,Brassaiopsis glomerulata,吴征镒等,172,19641208,,1630,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01652678.jpg,,,,,,,,,, +罗伞,Brassaiopsis glomerulata,青藏队植被组,3046,19740903,西藏自治区,800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01537625.jpg,,,,,,,,,, +,Brassaiopsis hainla,张经炜,831,19730721,西藏自治区,1950,山沟 凹地 常绿阔叶林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01537604.jpg,,,,,,,,,, +,Brassaiopsis hainla,,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00940415.jpg,,,,,,,,,, +,Brassaiopsis hispida,广西调查队,2991,19530730,广西壮族自治区,,石灰岩上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01991696.jpg,,,,,,,,,, +,Brassaiopsis hispida,青藏队,73-828,19730721,西藏自治区,2100,山坡常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00940432.jpg,,,,,,,,,, +,Brassaiopsis hispida,中苏调查团,1986,19550622,云南省,,山谷疏林中峻坡疏荫,,无花有果,https://image.cvh.ac.cn/files/l/PE/00940424.jpg,,,,,,,,,, +瑞丽罗伞,Brassaiopsis shweliensis,"程树志,李渤生",3353,19821208,西藏自治区,2100,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00940448.jpg,,,,,,,,,, +瑞丽罗伞,Brassaiopsis shweliensis,毛品一,373,19510717,云南省,1400,溪旁潮湿地下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00940443.jpg,,,,,,,,,, +,Brassaiopsis simplicifolia,青藏队植被组,3069,19740903,西藏自治区,800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00940461.jpg,,,,,,,,,, +毛细肉叶芥,Braya forrestii var. puberula,青藏队,12322,19830723,四川省,4000,山坡 流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109302.jpg,,,,,,,,,, +古铜色肉叶荠,Braya rosea var. aenea,G.Forrest,5749,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00816842.jpg,,,,,,,,,, +古铜色肉叶荠,Braya rosea var. aenea,甘农大,101,19760724,西藏自治区,5100,湿生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00816837.jpg,,,,,,,,,, +古铜色肉叶荠,Braya rosea var. aenea,杨昌友,750212,19750610,新疆维吾尔自治区,0~3100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/241272.jpg,,,,,,,,,, +无毛肉叶荠,Braya rosea var. glabrata,颜素珠,542,19590624,青海,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0281491.jpg,,,,,,,,,, +无毛肉叶荠,Braya rosea var. glabrata,秦志业,10031,19630629,西藏自治区,5100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/000629.jpg,,,,,,,,,, +无毛肉叶荠,Braya rosea var. glabrata,王为义等,582,19850625,青海省,4980,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/109948.jpg,,,,,,,,,, +红花肉叶荠,Braya rosea var. rosea,田新民、王志强、邹嘉宾,Liujq-Txm10-072,20100818,青海省,4702,高寒草地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00000134.jpg,,,,,,,,,, +黄花肉叶荠,Braya scharnhorstii,新疆采集队,764,19780629,新疆维吾尔自治区,3880,slope of mountain,,有花无果,https://image.cvh.ac.cn/files/l/PE/00816843.jpg,,,,,,,,,, +黄花肉叶荠,Braya scharnhorstii,新疆采集队,1351,1978/7/11,新疆维吾尔族自治区,4300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0334804.jpg,,,,,,,,,, +黄花肉叶荠,Braya scharnhorstii,西植新疆队,2240,1978/8/3,新疆,3500,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0337203.jpg,,,,,,,,,, +长角肉叶荠,Braya siliquosa,杨永昌,1205,1965/7/19,青海省,4400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0261012.jpg,,,,,,,,,, +长角肉叶荠,Braya siliquosa,杨永昌,1205,19650719,青海,4400,山麓草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0261012.jpg,,,,,,,,,, +长角肉叶荠,Braya siliquosa,生物研究所西藏考察队,3592,19740709,西藏自治区,5300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/40979.jpg,,,,,,,,,, +条叶肉叶荠,Braya tibetica f. linearifolia,郎楷永,9832,19760725,西藏自治区,5100,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00816870.jpg,,,,,,,,,, +条叶肉叶荠,Braya tibetica f. linearifolia,植被地理组,551,19840729,青海省,4370,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/108968.jpg,,,,,,,,,, +条叶肉叶荠,Braya tibetica f. linearifolia,青藏队,吴玉虎,1151,19870823,新疆维吾尔自治区,4750,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/145830.jpg,,,,,,,,,, +羽叶肉叶荠,Braya tibetica f. sinuata,青甘队,702,19590728,青海省,3604,山麓,,有花无果,https://image.cvh.ac.cn/files/l/PE/00816857.jpg,,,,,,,,,, +羽叶肉叶荠,Braya tibetica f. sinuata,王庆瑞等,6279,19770729,甘肃省,3900,阳坡,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00816849.jpg,,,,,,,,,, +羽叶肉叶荠,Braya tibetica f. sinuata,,s.n.,19090618,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029146.jpg,,,,,,,,,, +,Breynia patens,"李渤生,程树志",4530,19830507,西藏自治区,1000,林边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494975.jpg,,,,,,,,,, +,Breynia patens,G.Forrest,9113,19120900,云南省,2333,Open situations amongst scrub,,无花有果,https://image.cvh.ac.cn/files/l/PE/01111694.jpg,,,,,,,,,, +灰毛粗筒苣苔,Briggsia agnesiae,G.Forrest,30664,19300000,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0548659.jpg,,,,,,,,,, +灰毛粗筒苣苔,Briggsia agnesiae,G.Forrest.,12829,空,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0004823.jpg,,,,,,,,,, +灰毛粗筒苣苔,Briggsia agnesiae,赵清盛,6189,1978-7 2,四川省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0130073.jpg,,,,,,,,,, +黄花粗筒苣苔,Briggsia aurantiaca,西藏中草药普查队,3764,19720713,西藏自治区,3500,岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00140283.jpg,,,,,,,,,, +黄花粗筒苣苔,Briggsia aurantiaca,扎西次仁,ZhongY335,20080821,西藏,2921,山地多石山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1385179.jpg,,,,,,,,,, +,Briggsia kurzii,尹志坚等,1998,20090911,云南省,2600,on cliff rocks,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920556.jpg,,,,,,,,,, +,Briggsia kurzii,李鹏伟,LPW2012029,20120914,四川省,2200~2300,路边土壁下,岩石上,密林下山坡中,溪水边均有零散,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909903.jpg,,,,,,,,,, +藓丛粗筒苣苔,Briggsia muscicola,覃海宁等,18404,20041210,陕西省,1100,林下石壁上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802766.jpg,,,,,,,,,, +藓丛粗筒苣苔,Briggsia muscicola,,524,19730718,西藏自治区,2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670001.jpg,,,,,,,,,, +藓丛粗筒苣苔,Briggsia muscicola,K.M.Feng,5203,19400709,云南省,2700~3000,杂林中石上或树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00140329.jpg,,,,,,,,,, +凌风草,Briza media,青藏队植被组,5373,19750716,西藏自治区,3600,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076176.jpg,,,,,,,,,, +凌风草,Briza media,Z.Dolezalova et H.Pistulkova,,19660615,,190,in pratis humidis prope vicum Velenka situ septentrionali ab oppido Poricany,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039324.jpg,,,,,,,,,, +凌风草,Briza media,田景全,84,19600511,北京市,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01829402.jpg,,,,,,,,,, +光稃雀麦,Bromus epilis,汤宗孝,650,19810721,云南省,3460,山坡 林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01607131.jpg,,,,,,,,,, +光稃雀麦,Bromus epilis,T.N.Ho(HNWP) et al.,2662,19960829,青海省,3620,Growing in wet place among shrubs,,有花有果,https://image.cvh.ac.cn/files/l/PE/00486044.jpg,,,,,,,,,, +,Bromus gracillimus,青藏队植被组,12890,19760629,西藏自治区,3500,河谷坡麓,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077011.jpg,,,,,,,,,, +,Bromus gracillimus,西植新疆队,866,19780702,新疆维吾尔自治区,3250,山坡 ,,无花无果,https://image.cvh.ac.cn/files/l/PE/00038227.jpg,,,,,,,,,, +,Bromus himalaicus,T.N.Ho (HNWP) et al.,2403,19960827,青海省,3600,Growing under Picea,,有花有果,https://image.cvh.ac.cn/files/l/PE/00486048.jpg,,,,,,,,,, +喜马拉雅雀麦,Bromus himalaicus,张昌兵,邓秀华,ZhangCB0313,20091028,四川,3764,山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400288.jpg,,,,,,,,,, +无芒雀麦,Bromus inermis,秦仁昌,2096,19560808,新疆维吾尔自治区,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309048.jpg,,,,,,,,,, +无芒雀麦,Bromus inermis,陈全胜,CF12-4240,20180703,内蒙古自治区,608,杂类草草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247026.jpg,,,,,,,,,, +,Bromus japonicus,秦仁昌,2726,19560906,新疆维吾尔自治区,700,干旱灰钙土成片,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308858.jpg,,,,,,,,,, +,Bromus japonicus,老铁山采集队,82,20080430,辽宁省,,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089836.jpg,,,,,,,,,, +,Bromus japonicus,王素平,38,19930628,甘肃省,2300,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088919.jpg,,,,,,,,,, +大雀麦,Bromus magnus,傅德志,871286,19870722,四川省,650,山坡草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929992.jpg,,,,,,,,,, +大雀麦,Bromus magnus,巴山采集队,1014,20080709,重庆市,1445,林中空地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01850999.jpg,,,,,,,,,, +梅氏雀麦,Bromus mairei,尹志坚等,2234,20090915,云南省,3000,alpine meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088979.jpg,,,,,,,,,, +梅氏雀麦,Bromus mairei,生态,933,19650916,四川省,3500,草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950852.jpg,,,,,,,,,, +梅氏雀麦,Bromus mairei,傅国勋,587,19600821,西藏自治区,3200,山坡灌丛路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950831.jpg,,,,,,,,,, +,Bromus pectinatus,"H.Li,S.X.Yang,R.Li etc.",1212,20021113,云南省,2480,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109910.jpg,,,,,,,,,, +,Bromus pectinatus,白水江考察队,33,20060625,甘肃省,1900,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824971.jpg,,,,,,,,,, +,Bromus pectinatus,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00486416.jpg,,,,,,,,,, +,Bromus plurinodis,C.W.Wang,68368,19350800,云南省,3600,mountain slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950860.jpg,,,,,,,,,, +,Bromus plurinodis,PE西藏队,PE6373,20170911,西藏自治区,3120,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891331.jpg,,,,,,,,,, +多节雀麦,Bromus plurinodis,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2770,20090927,西藏,4080,林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400339.jpg,,,,,,,,,, +,Bromus porphyranthos,C.S.Liu,1341,19340824,四川省,4000,mt.slope grassy place,,无花有果,https://image.cvh.ac.cn/files/l/PE/00038296.jpg,,,,,,,,,, +假枝雀麦,Bromus pseudoramosus,田,97(3),19810908,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487130.jpg,,,,,,,,,, +假枝雀麦,Bromus pseudoramosus,崔友文,5644,19510712,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00486474.jpg,,,,,,,,,, +假枝雀麦,Bromus pseudoramosus,贾慎修,2573,19510907,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00486473.jpg,,,,,,,,,, +疏花雀麦,Bromus remotiflorus,汤宗孝,1465,19830716,四川省,3800,山坡灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950847.jpg,,,,,,,,,, +疏花雀麦,Bromus remotiflorus,"安明态,吴华丽",5124,20030606,贵州省,1250,路边草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950591.jpg,,,,,,,,,, +旱雀麦,Bromus tectorum,老铁山采集队,83,20080430,辽宁省,62,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089835.jpg,,,,,,,,,, +旱雀麦,Bromus tectorum,Loy R.Phillippe & John E.Ebinger,41699,20090624,,175,disturbed open sand prairie along sand road,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089062.jpg,,,,,,,,,, +旱雀麦,Bromus tectorum,Wang Yun,350,20100816,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088441.jpg,,,,,,,,,, +小构树,Broussonetia kazinoki,张彩飞,2676,20110601,湖南省,200~300,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247389.jpg,,,,,,,,,, +小构树,Broussonetia kazinoki,"董洪进,王泽欢,尹志坚",WM-0060,20160426,云南省,1200~1300,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090432.jpg,,,,,,,,,, +小构树,Broussonetia kazinoki,巴山采集队,6004,20120629,四川省,1320,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066222.jpg,,,,,,,,,, +构树,Broussonetia papyrifera,"赵清盛,师进斌",117112,19830515,四川省,1250,林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098299.jpg,,,,,,,,,, +构树,Broussonetia papyrifera,川黔队,698,19560621,重庆市,230,岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075600.jpg,,,,,,,,,, +构树,Broussonetia papyrifera,巴山采集队,5997,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066220.jpg,,,,,,,,,, +柔毛鸦胆子,Brucea mollis,覃海宁等,1109,19980423,广西壮族自治区,800,山坡 石山,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998671.jpg,,,,,,,,,, +柔毛鸦胆子,Brucea mollis,"王启无,刘瑛",85606,19391211,云南省,1300,mixed woods,,无花无果,https://image.cvh.ac.cn/files/l/PE/01381360.jpg,,,,,,,,,, +柔毛鸦胆子,Brucea mollis,"李渤生,程树志",2438,19820102,西藏自治区,1300,常绿阔叶林沟边时边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01136160.jpg,,,,,,,,,, +巴东醉鱼草,Buddleja albiflora,Q.Wang,60,19991000,四川省,2400,山坡路边灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115426.jpg,,,,,,,,,, +巴东醉鱼草,Buddleja albiflora,黄河队,8203,19560822,陕西省,1900,山坡南,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094432.jpg,,,,,,,,,, +互叶醉鱼草,Buddleja alternifolia,黄河队,6993,19560529,陕西省,,山坡岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094489.jpg,,,,,,,,,, +互叶醉鱼草,Buddleja alternifolia,黄河队,8945,19560924,甘肃省,2100,山坡山谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094410.jpg,,,,,,,,,, +互叶醉鱼草,Buddleja alternifolia,中阳甲队,13,19550601,山西省,1380,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02094360.jpg,,,,,,,,,, +驳骨丹,Buddleja asiatica,"王印政,彭华,邓德山,邓云飞,税玉民,朱大海",3786,19981014,云南省,1600,山地,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098724.jpg,,,,,,,,,, +驳骨丹,Buddleja asiatica,张经炜,603,19730709,西藏自治区,2000,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061484.jpg,,,,,,,,,, +驳骨丹,Buddleja asiatica,红水河植物考察队,911,19890505,广西壮族自治区,900,松栎林缘,公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009137.jpg,,,,,,,,,, +,Buddleja brachystachya,"傅德志,陈淑荣,邵毅贞等",1691,20140425,四川省,1120~1200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02021565.jpg,,,,,,,,,, +,Buddleja brachystachya,D.E.Boufford et al.,37719,20070512,甘肃省,1100~810,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658658.jpg,,,,,,,,,, +短序醉鱼草,Buddleja brachystachya,王汉臣,3375,19420300,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0468325.jpg,,,,,,,,,, +,Buddleja candida,"张经炜,王金亭",476,19660620,西藏自治区,2080,公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061307.jpg,,,,,,,,,, +,Buddleja colvilei,陈又生,141687,20140829,西藏自治区,,山坡林缘灌丛,少见,,无花有果,https://image.cvh.ac.cn/files/l/PE/02034672.jpg,,,,,,,,,, +,Buddleja colvilei,青藏队,8650,19820726,云南省,3200,Tsunga林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132416.jpg,,,,,,,,,, +,Buddleja colvilei,S.Noshiro etc.,9263254,19920626,,2720,in Rhododendron forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220045.jpg,,,,,,,,,, +皱叶醉鱼草,Buddleja crispa,青藏科考队,7977,19751011,西藏自治区,3600,阳坡山下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061316.jpg,,,,,,,,,, +皱叶醉鱼草,Buddleja crispa,张志英,2507,19590526,甘肃省,1100,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647502.jpg,,,,,,,,,, +大叶醉鱼草,Buddleja davidii,"朱大海,王永,王炳锋",653,20020712,四川省,1030,山谷沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115590.jpg,,,,,,,,,, +大叶醉鱼草,Buddleja davidii,L.H.,97241,19970820,甘肃省,750,山坡林下沟旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114980.jpg,,,,,,,,,, +大叶醉鱼草,Buddleja davidii,Steven R.Hill,25947,19940807,,,in front yard,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114935.jpg,,,,,,,,,, +,Buddleja delavayi,"李渤生,程树志",2419,19830102,西藏自治区,,雅江边阴坡干旱丛林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495954.jpg,,,,,,,,,, +,Buddleja delavayi,"Forrest, George",6796,10-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00327244.jpg,,,,,,,,,, +腺叶醉鱼草,Buddleja delavayi,刀志灵;蔡磊;杨静;张品;杨佳俊;姚刚;葛佳,KIBDZL056,20171022,云南,2291,润楠、槭树半常绿阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1562164.jpg,,,,,,,,,, +紫花醉鱼草,Buddleja fallowiana,,462,19730716,西藏自治区,2100,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591763.jpg,,,,,,,,,, +,Buddleja fallowiana,George Forrest,10591,19130700,云南省,3333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01324856.jpg,,,,,,,,,, +紫花醉鱼草,Buddleja fallowiana,张志英,14971,19590912,甘肃省,800,农田中杂草,,无花有果,https://image.cvh.ac.cn/files/l/PE/01324477.jpg,,,,,,,,,, +,Buddleja forrestii,H.T.Tsai,58425,19340909,云南省,3200,In forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01545092.jpg,,,,,,,,,, +,Buddleja forrestii,Y.Tsiang,11488,19330000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01324497.jpg,,,,,,,,,, +,Buddleja macrostachya,S.K.Wu,2580,19951031,云南省,1300~840,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883445.jpg,,,,,,,,,, +,Buddleja macrostachya,吴征镒,407,19641212,,1850,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01618910.jpg,,,,,,,,,, +,Buddleja macrostachya,李光照,15094,19970726,广西壮族自治区,800,山坡少见散生,,有花有果,https://image.cvh.ac.cn/files/l/PE/01324644.jpg,,,,,,,,,, +,Buddleja myriantha,D.E.Boufford et al.,42778,20100810,四川省,2475,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916563.jpg,,,,,,,,,, +,Buddleja myriantha,邱炳云,55404,19571114,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647562.jpg,,,,,,,,,, +,Buddleja myriantha,科考队,1676,19740806,西藏自治区,860,常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01325405.jpg,,,,,,,,,, +显脉醉鱼草,Buddleja nivea,"川西队,关克俭,王文采等",2709,19630826,四川省,1550,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092084.jpg,,,,,,,,,, +显脉醉鱼草,Buddleja nivea,河南队,765,19600624,河南省,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01647567.jpg,,,,,,,,,, +密蒙花,Buddleja officinalis,"朱大海,王永,尚涛",2263,20031009,四川省,1300,山坡中部沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115885.jpg,,,,,,,,,, +密蒙花,Buddleja officinalis,"张志耘,谢磊,张强",2015-213,20150507,广西壮族自治区,300~580,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064616.jpg,,,,,,,,,, +,Buddleja tsetangensis,青藏队草原组,6821,19750528,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061312.jpg,,,,,,,,,, +,Buddleja tsetangensis,F. Kingdon-Ward,316,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00263007.jpg,,,,,,,,,, +,Bulbophyllum amplifolium,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T250,20160916,西藏自治区,1100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233062.jpg,,,,,,,,,, +,Bulbophyllum amplifolium,俞德俊,22986,19381116,云南省,1700,"Side of stream, unpon rock surface",,有花无果,https://image.cvh.ac.cn/files/l/PE/00201369.jpg,,,,,,,,,, +大叶卷瓣兰,Bulbophyllum amplifolium,李中提,601803,19581026,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00144798.jpg,,,,,,,,,, +,Bulbophyllum andersonii,HK kadoorie PT,3472,20020427,云南省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098042.jpg,,,,,,,,,, +,Bulbophyllum andersonii,HK kadoorie PT,3254,20020422,广西壮族自治区,900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097626.jpg,,,,,,,,,, +,Bulbophyllum bomiense,"张永田,郞楷永",697,19650719,西藏自治区,2030,山坡密林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00805467.jpg,,,,,,,,,, +,Bulbophyllum cariniflorum,South Tibet Exp.Team (Jin Xiaohua etc.),STET1867,20100801,西藏自治区,1600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033294.jpg,,,,,,,,,, +,Bulbophyllum caudatum,青藏队,74-4369,19740819,西藏自治区,850,山坡常绿阔叶林内树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00805342.jpg,,,,,,,,,, +尾萼卷瓣兰,Bulbophyllum caudatum,江城县普查队,5308260070,20120420,云南省,854,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0024843.jpg,,,,,,,,,, +,Bulbophyllum cauliflorum,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T211,20160915,西藏自治区,1524,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233104.jpg,,,,,,,,,, +,Bulbophyllum cauliflorum,"税玉民,陈文红,盛家舒",31732,20021013,云南省,,石灰山常绿阔叶林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033305.jpg,,,,,,,,,, +,Bulbophyllum delitescens,South Tibet Exp.Team (Jin Xiaohua etc.),STET1966,20100802,西藏自治区,800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033298.jpg,,,,,,,,,, +,Bulbophyllum delitescens,覃海宁等,603023,20060603,广西壮族自治区,1300,石灰岩山坡,密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997676.jpg,,,,,,,,,, +,Bulbophyllum elatum,青藏队植被组,3853,19750608,西藏自治区,2500,2500,,无花无果,https://image.cvh.ac.cn/files/l/PE/01485535.jpg,,,,,,,,,, +,Bulbophyllum emarginatum,Xiaohua Jin,9509,20081107,云南省,,evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033664.jpg,,,,,,,,,, +,Bulbophyllum emarginatum,藏东南考察队 金效华等,SET-ET589,20090822,西藏自治区,2122,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033665.jpg,,,,,,,,,, +,Bulbophyllum eublepharum,Xiaohua Jin,9356,20080724,云南省,1700,forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033654.jpg,,,,,,,,,, +,Bulbophyllum eublepharum,"李渤生,程树志等",970,19820917,西藏自治区,,常绿阔叶林中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01376743.jpg,,,,,,,,,, +,Bulbophyllum eublepharum,金效华,9239,20071206,云南,1484,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825046.jpg,,,,,,,,,, +,Bulbophyllum forrestii,Jin Xiaohua,13072,20120707,云南省,900,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033299.jpg,,,,,,,,,, +,Bulbophyllum forrestii,,51513,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00271206.jpg,,,,,,,,,, +贡山卷瓣兰,Bulbophyllum gongshanense,C.W.Wang,67569,19351000,云南省,2000,ravine tree bark,,有花无果,https://image.cvh.ac.cn/files/l/PE/00850425.jpg,,,,,,,,,, +,Bulbophyllum guttulatum,"in Xiaohua, Zhang Shudong, LiZhongyang etc.",STET2568,20100811,西藏自治区,1100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033683.jpg,,,,,,,,,, +,Bulbophyllum guttulatum,金效华,10880,20110425,云南省,2400,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033655.jpg,,,,,,,,,, +,Bulbophyllum guttulatum,,Q3,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01485481.jpg,,,,,,,,,, +角萼卷瓣兰,Bulbophyllum helenae,Xiaohua Jin,9372,20080828,云南省,1300,forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033286.jpg,,,,,,,,,, +角萼卷瓣兰,Bulbophyllum helenae,G.Forrest,8130,19250000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0624195.jpg,,,,,,,,,, +角萼卷瓣兰,Bulbophyllum helenae,G.Forrest,26678,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0624194.jpg,,,,,,,,,, +密花石豆兰,Bulbophyllum odoratissimum,藏东南考察队 金效华等,SET-ET1261,20090905,西藏自治区,696,epiphytic on trunk,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033694.jpg,,,,,,,,,, +密花石豆兰,Bulbophyllum odoratissimum,Jin Xiaohua,10406,20100629,云南省,1100,evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033661.jpg,,,,,,,,,, +密花石豆兰,Bulbophyllum odoratissimum,HK kadoorie PT,800,20010600,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01997936.jpg,,,,,,,,,, +伏生石豆兰,Bulbophyllum reptans,Jin Xiaohua,10125,20091009,海南省,1400,in evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033672.jpg,,,,,,,,,, +伏生石豆兰,Bulbophyllum reptans,Luo Yi-bo,485,20000810,云南省,2200,路旁苔藓丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033670.jpg,,,,,,,,,, +伏生石豆兰,Bulbophyllum reptans,"王金亭,武田义明",263,19860429,西藏自治区,2150,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01446525.jpg,,,,,,,,,, +,Bulbophyllum retusiusculum,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T335,20160919,西藏自治区,2453,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233053.jpg,,,,,,,,,, +,Bulbophyllum retusiusculum,Luo Yi-bo,493,20101010,云南省,2270,山谷树干上与Dendrobium同生于树干上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109493.jpg,,,,,,,,,, +,Bulbophyllum retusiusculum,华南生物多样性调查队 金效华,5061,20031008,海南省,1000~700,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109492.jpg,,,,,,,,,, +,Bulbophyllum umbellatum,金效华,8004,20051001,云南省,1175,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109496.jpg,,,,,,,,,, +,Bulbophyllum umbellatum,"D.K.Harder,N.T.Hiep,L.V.Averyanov etc.",4967,20000403,,1100,"degraded forest along slope and along ridge,limestone substrate and exposed outcrop",,有花无果,https://image.cvh.ac.cn/files/l/PE/02033402.jpg,,,,,,,,,, +,Bulbophyllum umbellatum,HK kadoorie PT,743,20010500,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01997932.jpg,,,,,,,,,, +,Bulbophyllum yunnanense,吉占和,116,19810619,云南省,1400~1500,山坡泥土层上,为附生岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526120.jpg,,,,,,,,,, +,Bulbophyllum yunnanense,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00201924.jpg,,,,,,,,,, +丝叶球柱草,Bulbostylis densa,北京队,894966,19890605,广西壮族自治区,800,溪边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017065.jpg,,,,,,,,,, +丝叶球柱草,Bulbostylis densa,Chien-I Huang et al.,2180,20050706,台湾省,1220,"In wetland,exposed,abundant",,有花无果,https://image.cvh.ac.cn/files/l/PE/01950166.jpg,,,,,,,,,, +丝叶球柱草,Bulbostylis densa,R.J.Cumming,22928,20040609,,,Woodland on rocky rhyolite slope with Eucalyptus shirleyi,,无花无果,https://image.cvh.ac.cn/files/l/PE/01944580.jpg,,,,,,,,,, +云南蜂腰兰,Bulleyia yunnanensis,"Jin Xh,Wang LS,Wang Q et al.",ST1003,20130725,云南省,2048,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02002599.jpg,,,,,,,,,, +云南蜂腰兰,Bulleyia yunnanensis,金效华,375,20000800,贵州省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820815.jpg,,,,,,,,,, +翅果柴胡,Bupleurum alatum,西藏中草药普查队,1770,19720904,西藏自治区,3900,山麓,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491170.jpg,,,,,,,,,, +翅果柴胡,Bupleurum alatum,魏来、何毅,BNUXZ2016111,20150717,西藏,3850,山坡灌草丛,,,https://image.cvh.ac.cn/files/l/BNU/0028088.jpg,,,,,,,,,, +线叶柴胡,Bupleurum angustissimum,崔友文,2177,19560800,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00724006.jpg,,,,,,,,,, +线叶柴胡,Bupleurum angustissimum,T.H.Tang,s.n.,19270725,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00617432.jpg,,,,,,,,,, +线叶柴胡,Bupleurum angustissimum,王作宾,17569,19540927,甘肃省,,坡地试验场附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/00616975.jpg,,,,,,,,,, +,Bupleurum boissieuanum,郭本兆,820,19510829,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616990.jpg,,,,,,,,,, +,Bupleurum boissieuanum,黄河调查队,1865,19560807,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00616988.jpg,,,,,,,,,, +川滇柴胡,Bupleurum candollei,CLD-90,936,19901007,云南省,3100,Open river ground,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309061.jpg,,,,,,,,,, +川滇柴胡,Bupleurum candollei,青藏队,10186,19820908,西藏自治区,3600~3700,山沟中灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01129698.jpg,,,,,,,,,, +柴首,Bupleurum chaishoui,袁昌齐,王年鹤,92043,19650622,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00043029.jpg,,,,,,,,,, +柴首,Bupleurum chaishoui,,26,,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM715000997.jpg,,,,,,,,,, +黄花鸭跖柴胡,Bupleurum commelynoideum var. flaviflorum,谭仲明,93-88,19930715,四川省,3500,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309150.jpg,,,,,,,,,, +黄花鸭跖柴胡,Bupleurum commelynoideum var. flaviflorum,"张经炜,郑度",1714,19730827,西藏自治区,4190,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803080.jpg,,,,,,,,,, +黄花鸭跖柴胡,Bupleurum commelynoideum var. flaviflorum,于兆英,1701,19810812,宁夏回族自治区,2600,阳坡草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575456.jpg,,,,,,,,,, +蔟生柴胡,Bupleurum condensatum,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",629,19930731,青海省,3500,"River valley with narrow terrace with short turf along river and steep slopes with rock outcrops.side of valley wuth steep slope,mostly dry with tussock grass and bare soil,shallower slopes.On slopes ",,有花无果,https://image.cvh.ac.cn/files/l/PE/00617345.jpg,,,,,,,,,, +簇生柴胡,Bupleurum condensatum,吴珍兰,101,1966/6/29,青海,3250,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0290514.jpg,,,,,,,,,, +匍枝柴胡,Bupleurum dalhousieanum,青藏队植被组,6416,19750528,西藏自治区,3900,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491055.jpg,,,,,,,,,, +匍枝柴胡,Bupleurum dalhousieanum,青藏队,5458,19810828,四川省,4100~4200,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129705.jpg,,,,,,,,,, +匍枝柴胡,Bupleurum dalhousieanum,北京所横断山队,3236,19810818,云南省,4300~4400,高山 流石滩边缘常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129681.jpg,,,,,,,,,, +密花柴胡,Bupleurum densiflorum,郭柯等,天山-053,19860729,新疆维吾尔自治区,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01805958.jpg,,,,,,,,,, +密花柴胡,Bupleurum densiflorum,候喜祥,998,19730621,陕西省,250,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0437475.jpg,,,,,,,,,, +密花柴胡,Bupleurum densiflorum,周太炎等,651210,19650803,新疆维吾尔自治区 ,2060,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0437476.jpg,,,,,,,,,, +纤细柴胡,Bupleurum gracillimum,PE西藏考察队,7734,20180624,西藏自治区,3902,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332627.jpg,,,,,,,,,, +纤细柴胡,Bupleurum gracillimum,C.W.Wang,65246,19350800,四川省,2800,thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/00617447.jpg,,,,,,,,,, +,Bupleurum hamiltonii,CLD-90,73,19900924,云南省,2360,Open grassy bank amonget cultivation,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309063.jpg,,,,,,,,,, +,Bupleurum hamiltonii,T.T.Yü,1581,19320917,四川省,,along road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00617455.jpg,,,,,,,,,, +,Bupleurum hamiltonii,"熊济华,周子林",93761,19571001,重庆市,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00617456.jpg,,,,,,,,,, +,Bupleurum longicaule,滇东北队,477,19720829,云南省,1800,路边草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575782.jpg,,,,,,,,,, +,Bupleurum longicaule,,8387,19750728,四川省,3140,坡上灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575615.jpg,,,,,,,,,, +,Bupleurum longicaule,山西植物所调查队,485,19530808,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01521879.jpg,,,,,,,,,, +抱茎柴胡,Bupleurum longicaule var. amplexicaule,"李渤生,程树志等",534,19820903,西藏自治区,3150,冷杉林内草地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537372.jpg,,,,,,,,,, +抱茎柴胡,Bupleurum longicaule var. amplexicaule,P.Chang,625,19401101,云南省,4200,mt.slop open,,有花无果,https://image.cvh.ac.cn/files/l/PE/00617534.jpg,,,,,,,,,, +秦岭柴胡,Bupleurum longicaule var. giraldii,关克俭,77307,19770804,青海省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575472.jpg,,,,,,,,,, +秦岭柴胡,Bupleurum longicaule var. giraldii,B.Bartholomew et al.,111,19800826,湖北省,2780,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01020666.jpg,,,,,,,,,, +秦岭柴胡,Bupleurum longicaule var. giraldii,马成功等,221,19810719,陕西省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00617592.jpg,,,,,,,,,, +马尔康柴胡,Bupleurum malconense,D.E.Boufford et al.,33480,20080724,四川省,3385,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923356.jpg,,,,,,,,,, +马尔康柴胡,Bupleurum malconense,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",112,19930721,青海省,3160,Ruderal vegetation near road and neglected fields At edges of shrublet,,有花无果,https://image.cvh.ac.cn/files/l/PE/00617699.jpg,,,,,,,,,, +马尔康柴胡,Bupleurum malconense,黄河调查队,2676,19560000,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00617698.jpg,,,,,,,,,, +竹叶柴胡,Bupleurum marginatum,PE西藏队,PE5127,20170825,西藏自治区,3788,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330200.jpg,,,,,,,,,, +竹叶柴胡,Bupleurum marginatum,赵常明,EX2124,20090928,湖北省,1300,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989754.jpg,,,,,,,,,, +竹叶柴胡,Bupleurum marginatum,Anonymous,5464,19740703,四川省,3600,林缘 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01940352.jpg,,,,,,,,,, +窄竹叶柴胡,Bupleurum marginatum var. stenophyllum,巴山采集队,2556,20080728,重庆市,1780,山谷杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989751.jpg,,,,,,,,,, +窄竹叶柴胡,Bupleurum marginatum var. stenophyllum,"李渤生,程树志等",5409,19830711,西藏自治区,3000,干坡时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537373.jpg,,,,,,,,,, +窄竹叶柴胡,Bupleurum marginatum var. stenophyllum,杨永昌,1031,19650625,青海省,3650,农田边 小径边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490024.jpg,,,,,,,,,, +马尾柴胡,Bupleurum microcephalum,D.E.Boufford et al.,38235,20070726,四川省,2903,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01924949.jpg,,,,,,,,,, +马尾柴胡,Bupleurum microcephalum,X.C.Zhang,s.n.,19980800,甘肃省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537314.jpg,,,,,,,,,, +马尾柴胡,Bupleurum microcephalum,北京植物所横断山队,661,19810620,云南省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129715.jpg,,,,,,,,,, +细茎有柄柴胡,Bupleurum petiolulatum var. tenerum,陶德定,10989,19760820,西藏自治区,3700~3800,河边 灌丛林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538223.jpg,,,,,,,,,, +细茎有柄柴胡,Bupleurum petiolulatum var. tenerum,北京植物所横断山队,1620,19810715,云南省,2800,铁杉林缘 灌丛中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129717.jpg,,,,,,,,,, +细茎有柄柴胡,Bupleurum petiolulatum var. tenerum,F.T.Wang,21395,19300000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00617887.jpg,,,,,,,,,, +短茎柴胡,Bupleurum pusillum,新疆综合考察队,9401,19590603,新疆维吾尔自治区,3500,中山北坡石缝北坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00617892.jpg,,,,,,,,,, +短茎柴胡,Bupleurum pusillum,W.Y.Hsia,3988,19330916,宁夏回族自治区,2300,dry slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00617889.jpg,,,,,,,,,, +短茎柴胡,Bupleurum pusillum,徐养鹏,于兆英,1766,1981/8/13,宁夏,1900,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0449397.jpg,,,,,,,,,, +丽江柴胡,Bupleurum rockii,青藏队植被组,2245,19740806,西藏自治区,2950,西南坡 针阔林下田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538222.jpg,,,,,,,,,, +丽江柴胡,Bupleurum rockii,C.W.Wang,68016,,云南省,3200,Mountain slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00617909.jpg,,,,,,,,,, +丽江柴胡,Bupleurum rockii,K.M.Feng,3439,19391122,四川省,2350,in mixed fores,,有花无果,https://image.cvh.ac.cn/files/l/PE/00617896.jpg,,,,,,,,,, +黑柴胡,Bupleurum smithii,,620,19640812,青海省,4000,通天河河谷山地阴坡灌丛和草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082847.jpg,,,,,,,,,, +黑柴胡,Bupleurum smithii,段长虹,Dch0360,20140715,山西省,2088,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038629.jpg,,,,,,,,,, +黑柴胡,Bupleurum smithii,"石硕,梁文达",SZ4218,20141005,河北省,2078,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035253.jpg,,,,,,,,,, +三辐柴胡,Bupleurum triradiatum,李渤生等,10455,19870708,新疆维吾尔自治区,4000~4100,山坡湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804984.jpg,,,,,,,,,, +三辐柴胡,Bupleurum triradiatum,Miyoshi Furuse,9320,19750804,,1400~1530,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01239452.jpg,,,,,,,,,, +汶川柴胡,Bupleurum wenchuanense,M.G.Pimenov et al.,95,19980912,四川省,1300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00724175.jpg,,,,,,,,,, +汶川柴胡,Bupleurum wenchuanense,张志英,10193,1959/7/28,甘肃,1820,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0145778.jpg,,,,,,,,,, +汶川柴胡,Bupleurum wenchuanense,宋滋圃,39255,1954/7/27,四川,2175,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0175618.jpg,,,,,,,,,, +银州柴胡,Bupleurum yinchowense,孙学刚等,2353,20010721,甘肃省,2050,沟谷路边山坡灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802099.jpg,,,,,,,,,, +银州柴胡,Bupleurum yinchowense,黄河队,6634,19560610,陕西省,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00724193.jpg,,,,,,,,,, +云南柴胡,Bupleurum yunnanense,CLD-90,1323,19901015,云南省,3140,open grassland with shrub cover and amongst stones,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309065.jpg,,,,,,,,,, +云南柴胡,Bupleurum yunnanense,武陵山考察队,3647,19880924,贵州省,1000,石灰岩地区,公路边坡坎草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01845163.jpg,,,,,,,,,, +雀舌黄杨,Buxus bodinieri,黔北队,152,19590412,贵州省,1400,山坡水田边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069002.jpg,,,,,,,,,, +雀舌黄杨,Buxus bodinieri,北京队,894374,19890526,广西壮族自治区,1000,田旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01981551.jpg,,,,,,,,,, +杨梅黄杨,Buxus myrica,胡启明,2511,19580609,江西省,500,小河边疏林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069035.jpg,,,,,,,,,, +杨梅黄杨,Buxus myrica,,61693,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069034.jpg,,,,,,,,,, +杨梅黄杨,Buxus myrica,梁光兴,67067,19730803,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00044205.jpg,,,,,,,,,, +见血飞,Caesalpinia cucullata,236-6队,4541,19830318,云南省,580,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01114567.jpg,,,,,,,,,, +见血飞,Caesalpinia cucullata,N.S.Pany,1221,19300300,,400,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0153323.jpg,,,,,,,,,, +见血飞,Caesalpinia cucullata,中苏队,s.n.,19560000,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0166899.jpg,,,,,,,,,, +云实,Caesalpinia decapetala,"张志耘,谢磊,张强",2015-132,20150503,广西壮族自治区,360,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064716.jpg,,,,,,,,,, +云实,Caesalpinia decapetala,丁小平,28,20050421,江西省,435,山坡 红壤 光强 湿度干,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043483.jpg,,,,,,,,,, +云实,Caesalpinia decapetala,"Cho,Yang-Hoon et al.",JKS2056,20100603,,10,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01969614.jpg,,,,,,,,,, +木豆,Cajanus cajan,红水河植物考察队,1233,19890516,广西壮族自治区,,清水江大桥河谷灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996567.jpg,,,,,,,,,, +木豆,Cajanus cajan,,3166,19871003,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01983586.jpg,,,,,,,,,, +木豆,Cajanus cajan,C.M.Wang et al.,6414,20021209,台湾省,650,On roadside of broadleaf forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01923634.jpg,,,,,,,,,, +,Cajanus grandiflorus,A.Henry,9664,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00417142.jpg,,,,,,,,,, +,Cajanus grandiflorus,N.Y.Bot. Garden,9664,19201000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00182766.jpg,,,,,,,,,, +单蕊拂子茅,Calamagrostis emodensis,PE西藏队,PE5680,20170903,西藏自治区,1683~2900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891476.jpg,,,,,,,,,, +单蕊拂子茅,Calamagrostis emodensis,"郎楷永,李良千,费勇",1290,19820829,四川省,2400,东南坡英雄沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854471.jpg,,,,,,,,,, +单蕊拂子茅,Calamagrostis emodensis,白水江考察队,5660,20070905,甘肃省,2400~2700,林缘林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01824983.jpg,,,,,,,,,, +拂子茅,Calamagrostis epigeios,陈全胜,CF-0010-273,20170827,内蒙古自治区,1074,河滩草甸,平坦开阔,,无花有果,https://image.cvh.ac.cn/files/l/PE/02246140.jpg,,,,,,,,,, +拂子茅,Calamagrostis epigeios,秦仁昌,1533,19560808,新疆维吾尔自治区,2100,湿润谷地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230037.jpg,,,,,,,,,, +拂子茅,Calamagrostis epigeios,Torbjorn Tyler,6204200/1358200,20140812,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109961.jpg,,,,,,,,,, +短芒拂子茅,Calamagrostis hedinii,白水江考察队,962,20060704,甘肃省,1300,河谷山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824982.jpg,,,,,,,,,, +短芒拂子茅,Calamagrostis hedinii,"李渤生,李辉,阳艺",13927,19900920,西藏自治区,3500~3700,Betula林缘河滩中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01507375.jpg,,,,,,,,,, +短芒拂子茅,Calamagrostis hedinii,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2835,20090928,西藏,4020,高山草坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400431.jpg,,,,,,,,,, +大拂子茅,Calamagrostis macrolepis,何叶祺,4115,19590709,甘肃省,2350,山沟,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929347.jpg,,,,,,,,,, +大拂子茅,Calamagrostis macrolepis,叶居新,251,19600720,吉林省,,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854240.jpg,,,,,,,,,, +大拂子茅,Calamagrostis macrolepis,姚仲吾,989,19350918,内蒙古自治区,,沙漠附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854239.jpg,,,,,,,,,, +假苇拂子茅,Calamagrostis pseudophragmites,老铁山采集队,407,20080712,辽宁省,,海边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089619.jpg,,,,,,,,,, +假苇拂子茅,Calamagrostis pseudophragmites,中苏队,19,19600624,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078673.jpg,,,,,,,,,, +假苇拂子茅,Calamagrostis pseudophragmites,巴山采集队,3256,20100722,陕西省,1201,草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066352.jpg,,,,,,,,,, +,Calamagrostis turkestanica,司马义,107,19830813,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856960.jpg,,,,,,,,,, +突厥拂子茅,Calamagrostis turkestanica,杨赵平,周禧琳,贺冰等,LiZJ1362,20100815,新疆,1238,防护林带,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400459.jpg,,,,,,,,,, +,Calamus acanthospathus,生态室高原组,10952,19800707,西藏自治区,250,河谷半常绿林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02098884.jpg,,,,,,,,,, +刺苞省藤,Calamus acanthospathus,刀志灵,DZL3938,20150811,云南省,2035,林中,,,https://image.cvh.ac.cn/files/l/KUN/1272269.jpg,,,,,,,,,, +长鞭藤,Calamus flagellum,"李渤生,程树志",4575,19830510,西藏自治区,1000~800,半常绿雨林下常见藤本,,无花无果,https://image.cvh.ac.cn/files/l/PE/01468179.jpg,,,,,,,,,, +长鞭藤,Calamus flagellum,张伟良,873073,19871209,云南省,0~810,,藤本 ,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0638753.jpg,,,,,,,,,, +长鞭藤,Calamus flagellum,卫兆芬郭丽秀,123388,19930503,广西壮族自治区,0,,藤本 攀援,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0638751.jpg,,,,,,,,,, +,Calamus floribundus,"李渤生,程树志",3810,19830324,西藏自治区,710,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02098353.jpg,,,,,,,,,, +高地省藤,Calamus nambariensis,陈三阳,童绍全,621,19871121,云南省,1600,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1247988.jpg,,,,,,,,,, +云南省藤,Calamus yunnanensis,C.W.Wang,78353,19360900,云南省,1850,Densely wooded valley,,无花有果,https://image.cvh.ac.cn/files/l/PE/01437792.jpg,,,,,,,,,, +泽泻虾脊兰,Calanthe alismatifolia,张挺,刘恩德,郭永杰,13CS7616,20130528,西藏,770,林下,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1393608.jpg,,,,,,,,,, +泽泻虾脊兰,Calanthe alismatifolia,张绍云,胡启和,叶金科,倪亚,YNS1203,20111212,云南,1560,公路边,草本,,https://image.cvh.ac.cn/files/l/KUN/1393609.jpg,,,,,,,,,, +泽泻虾脊兰,Calanthe alismatifolia,倪芝瑜、苏燕秋,11949,19820515,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0035276.jpg,,,,,,,,,, +流苏虾脊兰,Calanthe alpina,陈又生,7308,20070806,四川省,2700,山谷林下苔藓中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113464.jpg,,,,,,,,,, +流苏虾脊兰,Calanthe alpina,"Jin Xh,Wang LS Wang Q et al.",ST1181,20130727,云南省,2400~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977080.jpg,,,,,,,,,, +流苏虾脊兰,Calanthe alpina,张无休等,27,19850805,贵州省,2200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911394.jpg,,,,,,,,,, +弧距虾脊兰,Calanthe arcuata,Shui Yumin et al.,11314,19990920,云南省,2020,on limestone hill,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033537.jpg,,,,,,,,,, +弧距虾脊兰,Calanthe arcuata,"Jin Xiaohua,Jin Weitao,Xu Songzhi",13201,20120729,西藏自治区,2400,"subtropical,evergreen forest",,有花无果,https://image.cvh.ac.cn/files/l/PE/02025142.jpg,,,,,,,,,, +弧距虾脊兰,Calanthe arcuata,巴山采集队,5561,20110712,四川省,1700,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873287.jpg,,,,,,,,,, +肾唇虾脊兰,Calanthe brevicornu,广西队,618,19530600,广西壮族自治区,,山腰,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997914.jpg,,,,,,,,,, +肾唇虾脊兰,Calanthe brevicornu,金效华,8980,20070516,云南省,2253,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825076.jpg,,,,,,,,,, +肾唇虾脊兰,Calanthe brevicornu,T.Naito et al. ,962,19860512,西藏自治区,2000,in evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803479.jpg,,,,,,,,,, +棒距虾脊兰,Calanthe clavata,Jin Xiaohua,11688,20111005,云南省,1700,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033289.jpg,,,,,,,,,, +棒距虾脊兰,Calanthe clavata,"程树志,李渤生",3562,19830208,西藏自治区,870,林下潮湿处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376717.jpg,,,,,,,,,, +剑叶虾脊兰,Calanthe davidii,三峡考察队,3212,20090903,重庆市,1029,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230213.jpg,,,,,,,,,, +剑叶虾脊兰,Calanthe davidii,云南考察队(金效华等),YN-ET909,20090706,云南省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033335.jpg,,,,,,,,,, +剑叶虾脊兰,Calanthe davidii,木论综考,M0156,19940812,广西壮族自治区,1000~800,山顶石灰岩石山疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032904.jpg,,,,,,,,,, +密花虾脊兰,Calanthe densiflora,Shui Yumin et al.,10681,19990908,云南省,1700~1900,top of Mt.in forests,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033584.jpg,,,,,,,,,, +密花虾脊兰,Calanthe densiflora,北京队,897285,19890918,广西壮族自治区,,溪边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997912.jpg,,,,,,,,,, +虾脊兰,Calanthe discolor,S.W.Teng,1715,19351205,贵州省,,"in dense shade,on cliff",,无花无果,https://image.cvh.ac.cn/files/l/PE/00270245.jpg,,,,,,,,,, +虾脊兰,Calanthe discolor,庄伯桐,8305014,19830503,福建省,900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00270244.jpg,,,,,,,,,, +虾脊兰,Calanthe discolor,高锡朋,54167,19340423,广东省,,moist place in ravine,,有花无果,https://image.cvh.ac.cn/files/l/PE/00270242.jpg,,,,,,,,,, +通麦虾脊兰,Calanthe griffithii,金效华,6994,20050516,云南省,2758,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01855666.jpg,,,,,,,,,, +通麦虾脊兰,Calanthe griffithii,谭策铭、易桂花、张丽萍、易发彬,信宜498,20030114,广东省,940,山谷林下,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00058609.jpg,,,,,,,,,, +通麦虾脊兰,Calanthe griffithii,金效华,8170,20060513,云南,2386,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825078.jpg,,,,,,,,,, +叉唇虾脊兰,Calanthe hancockii,谭仲明,Mar-92,19920521,四川省,1400,路边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308820.jpg,,,,,,,,,, +叉唇虾脊兰,Calanthe hancockii,金效华,10890,20110427,云南省,2400,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033540.jpg,,,,,,,,,, +叉唇虾脊兰,Calanthe hancockii,北京队,892364,19890506,广西壮族自治区,1000,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01997908.jpg,,,,,,,,,, +西南虾脊兰,Calanthe herbacea,"喻勋林,谭洪田",905057,20090530,湖南省,660,路边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089927.jpg,,,,,,,,,, +西南虾脊兰,Calanthe herbacea,Jin Weitao,13411,20120706,云南省,1900,Tropical evergreen broad leaved forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02025166.jpg,,,,,,,,,, +西南虾脊兰,Calanthe herbacea,生态室高原组,11374,19800727,西藏自治区,1900,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376705.jpg,,,,,,,,,, +细花虾脊兰,Calanthe mannii,金效华,8981,20070516,云南省,2253,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01825082.jpg,,,,,,,,,, +细花虾脊兰,Calanthe mannii,"张经炜,王金亭",436,19660619,西藏自治区,2100,高阶地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01485516.jpg,,,,,,,,,, +墨脱虾脊兰,Calanthe metoensis,生态室高原组,14080,19800807,西藏自治区,2200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376691.jpg,,,,,,,,,, +墨脱虾脊兰,Calanthe metoensis,吉占和,93-021,19930712,云南省,1850,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00850179.jpg,,,,,,,,,, +戟形虾脊兰,Calanthe nipponica,李渤生,6865,19830827,西藏自治区,2200~2400,黄杉林下常见草木,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376721.jpg,,,,,,,,,, +戟形虾脊兰,Calanthe nipponica,Miyoshi Furuse,30994,19560727,,1100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00106095.jpg,,,,,,,,,, +泸水车前虾脊兰,Calanthe plantaginea var. lushuiensis,华南队,345,19890502,广西壮族自治区,0~1100,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0624625.jpg,,,,,,,,,, +泸水车前虾脊兰,Calanthe plantaginea var. lushuiensis,张桂才,58,19810716,广东省,0,,草本直立,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0624630.jpg,,,,,,,,,, +泸水车前虾脊兰,Calanthe plantaginea var. lushuiensis,G.Forrest,9738,19130000,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0624632.jpg,,,,,,,,,, +镰萼虾脊兰,Calanthe puberula,北京队,896578,19890923,广西壮族自治区,,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01997905.jpg,,,,,,,,,, +镰萼虾脊兰,Calanthe puberula,金效华,2107,20070712,云南省,2107,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01825084.jpg,,,,,,,,,, +镰萼虾脊兰,Calanthe puberula,Luo Yi-bo,15,19960528,西藏自治区,2150,河滩地乱石堆中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01527333.jpg,,,,,,,,,, +反瓣虾脊兰,Calanthe reflexa,HK kadoorie PT,3363,20020427,云南省,1500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02097620.jpg,,,,,,,,,, +反瓣虾脊兰,Calanthe reflexa,金效华,477,20000900,贵州省,1200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032968.jpg,,,,,,,,,, +反瓣虾脊兰,Calanthe reflexa,PE-古蔺考察队,994,20100908,四川省,1338~1513,常绿阔叶林,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01853348.jpg,,,,,,,,,, +长距虾脊兰,Calanthe sylvatica,"陈心启,梁松筠",117,19920722,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230212.jpg,,,,,,,,,, +长距虾脊兰,Calanthe sylvatica,华南生物多样性调查队 金效华,5006,20030921,海南省,1002~1500,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033287.jpg,,,,,,,,,, +长距虾脊兰,Calanthe sylvatica,覃海宁等,2490,19981108,广西壮族自治区,1300,山地,石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997904.jpg,,,,,,,,,, +三棱虾脊兰,Calanthe tricarinata,徐洪贵,6995,19950522,四川省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033244.jpg,,,,,,,,,, +三棱虾脊兰,Calanthe tricarinata,李光照,14560,19950501,广西壮族自治区,1700,山谷密林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032969.jpg,,,,,,,,,, +三棱虾脊兰,Calanthe tricarinata,三峡考察队,1674,20080715,重庆市,1830~1887,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01989951.jpg,,,,,,,,,, +鸡爪草,Calathodes oxycarpa,"冯正波,朱大海,李小杰",4336,20070728,四川省,2600,林下草丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01962054.jpg,,,,,,,,,, +鸡爪草,Calathodes oxycarpa,鄂神农架植考队,10555,19760701,湖北省,2600,山坡北坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00991895.jpg,,,,,,,,,, +黄花鸡爪草,Calathodes palmata,"李渤生,程树志",5259,19830703,西藏自治区,2900,林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820986.jpg,,,,,,,,,, +黄花鸡爪草,Calathodes palmata,H.T.Tsai,52673,1932-07-,四川省,1800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0082703.jpg,,,,,,,,,, +,Callerya cinerea,刘正宇,181305,20070928,重庆市,1200,山地岩石缝中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840669.jpg,,,,,,,,,, +,Callerya cinerea,赵常明,EX0619,20070909,湖北省,530,河边灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840668.jpg,,,,,,,,,, +灰毛崖豆藤,Callerya cinerea,Li-Jianwu,3069,20130504,云南省,1200,highway side,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252104.jpg,,,,,,,,,, +厚叶美花草,Callianthemum alatavicum,青藏队,870169,19870624,新疆维吾尔自治区,3700~3800,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957031.jpg,,,,,,,,,, +厚叶美花草,Callianthemum alatavicum,,837-9,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352342.jpg,,,,,,,,,, +川甘美花草,Callianthemum farreri,曾庆楣,VII305416,19870616,湖北省,2500,岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00440565.jpg,,,,,,,,,, +川甘美花草,Callianthemum farreri,王作宾,14372,19510713,甘肃省,3500,冷杉林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/00440563.jpg,,,,,,,,,, +美花草,Callianthemum pimpinelloides,郭柯,K-011,19900607,青海省,4850,冲积阶地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099581.jpg,,,,,,,,,, +美花草,Callianthemum pimpinelloides,金孝锋,139,20120525,云南省,,平地 草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036016.jpg,,,,,,,,,, +美花草,Callianthemum pimpinelloides,D.E.Boufford et al.,29612,20000722,西藏自治区,4650~4760,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522739.jpg,,,,,,,,,, +木紫珠,Callicarpa arborea,C.W.Wang,79278,19361000,云南省,1100,in woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114657.jpg,,,,,,,,,, +木紫珠,Callicarpa arborea,"李渤生,程树志",2591,19830120,西藏自治区,1000,刀耕地次生林中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078285.jpg,,,,,,,,,, +木紫珠,Callicarpa arborea,覃海宁等,2187,19981105,广西壮族自治区,1400,山地,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02009594.jpg,,,,,,,,,, +老鸦糊,Callicarpa giraldii,马丹丹 夏国华,ZJFC002,20070925,浙江省,1300,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02247521.jpg,,,,,,,,,, +老鸦糊,Callicarpa giraldii,"李明生,李振宇等",6047,19860803,福建省,300,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02242924.jpg,,,,,,,,,, +老鸦糊,Callicarpa giraldii,荔波队,1477,19590804,贵州省,1050,山顶阳处灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02242923.jpg,,,,,,,,,, +,Callicarpa rubella f. angustata,刘煐光,546,19570626,广东省,,山地山谷水旁路旁疏林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02242930.jpg,,,,,,,,,, +,Callicarpa rubella f. angustata,科考队,Y00016,20021016,江西省,,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02242931.jpg,,,,,,,,,, +,Callicarpa rubella f. angustata,"税玉民,陈文红等",70568,20060624,云南省,1950~2050,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02242754.jpg,,,,,,,,,, +青海沙拐枣,Calligonum kozlovi,侯元同,郭成勇,2013299-1,20130805,青海,2843,荒漠,灌木,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0057685.jpg,,,,,,,,,, +沙拐枣,Calligonum mongolicum,刘冰,930,20070806,新疆维吾尔自治区,1246,荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039611.jpg,,,,,,,,,, +沙拐枣,Calligonum mongolicum,方振岱,9001,19900614,甘肃省,,栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/01579178.jpg,,,,,,,,,, +沙拐枣,Calligonum mongolicum,"刘媖心,高有广",74,19640900,宁夏回族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934491.jpg,,,,,,,,,, +柴达木沙拐枣,Calligonum zaidamense,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0029,20130729,青海省,2851,蓅漠绿州,,无花无果,https://image.cvh.ac.cn/files/l/PE/02000536.jpg,,,,,,,,,, +柴达木沙拐枣,Calligonum zaidamense,"李世英,王庆瑞,黄大乐",160,19550727,新疆维吾尔自治区,2220,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01552192.jpg,,,,,,,,,, +沼生水马齿,Callitriche palustris,"Li Zhenyu,Jin Xiaohua,Tu Yanli etc.",T080,20160912,西藏自治区,2900,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233383.jpg,,,,,,,,,, +沼生水马齿,Callitriche palustris,M.Nasarov,,19130929,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01893975.jpg,,,,,,,,,, +沼生水马齿,Callitriche palustris,"陈耀东,郎青",704,19840902,江西省,70,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780131.jpg,,,,,,,,,, +牛角瓜,Calotropis gigantea,"陈伟烈,陈家瑞,郭柯等",5420,19840522,四川省,1200,金沙江边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042569.jpg,,,,,,,,,, +牛角瓜,Calotropis gigantea,绿春队,1259,19740531,云南省,330~400,河滩河岸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648185.jpg,,,,,,,,,, +牛角瓜,Calotropis gigantea,侯学煜等,15082,19520324,广东省,,红黄壤,,有花无果,https://image.cvh.ac.cn/files/l/PE/01609784.jpg,,,,,,,,,, +驴蹄草,Caltha palustris var. palustris,杨斌,陈洪梁,YangBChen-319,20140526,云南省,2200~3000,林缘湿润草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1249664.jpg,,,,,,,,,, +,Caltha palustris var. palustris,"刘成, 张挺, 李昌洪, 熊晓强",16CS12264,20160602,新疆,1490,沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1448122.jpg,,,,,,,,,, +,Caltha palustris var. palustris,青藏队,499,19730630,西藏自治区,3900,山坡冷杉林下湿润处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/260755.jpg,,,,,,,,,, +掌裂驴蹄草,Caltha palustris var. umbrosa,云南考察队,YN-EY1345,20090715,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962113.jpg,,,,,,,,,, +掌裂驴蹄草,Caltha palustris var. umbrosa,周仕顺,6085,20090524,四川省,3200,沟谷箐边草地灌木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962112.jpg,,,,,,,,,, +花葶驴蹄草,Caltha scaposa,PE西藏考察队,8026,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333337.jpg,,,,,,,,,, +花葶驴蹄草,Caltha scaposa,"关克俭,王文采",633,19630717,四川省,3500,山谷溪边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087484.jpg,,,,,,,,,, +细茎驴蹄草,Caltha sinogracilis,FLPH Tibet Expedition,12-1720,20120919,西藏自治区,4000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01966644.jpg,,,,,,,,,, +细茎驴蹄草,Caltha sinogracilis,北京植物所 横断山队,1498,19810713,云南省,3600,高山 灌丛草甸中 水边常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494104.jpg,,,,,,,,,, +布袋兰,Calypso bulbosa,白龙江考察队,1364,19990526,甘肃省,3100,山顶 冷杉林带,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537261.jpg,,,,,,,,,, +布袋兰,Calypso bulbosa,S.Kharkevich et al.,s.n.,19790602,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526268.jpg,,,,,,,,,, +打碗花,Calystegia hederacea,农田杂草调查组,179,19700623,湖北省,,甘蔗地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078254.jpg,,,,,,,,,, +打碗花,Calystegia hederacea,黄河队,5780,19560808,甘肃省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075831.jpg,,,,,,,,,, +打碗花,Calystegia hederacea,黄河队,6548,19560602,陕西省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075741.jpg,,,,,,,,,, +柔毛打碗花,Calystegia pubescens,工作站队,1574,19510601,江苏省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01107106.jpg,,,,,,,,,, +柔毛打碗花,Calystegia pubescens,Y.Sato,1466,19320726,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01107105.jpg,,,,,,,,,, +,Calystegia sepium subsp. spectabilis,D.E.Boufford et al.,37601,20070513,甘肃省,825~890,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814632.jpg,,,,,,,,,, +欧旋花,Calystegia sepium subsp. spectabilis,毛少华,198,1962/6/30,江苏省,,,灌木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0221569.jpg,,,,,,,,,, +欧旋花,Calystegia sepium subsp. spectabilis,黄土队(晋),625,1983/6/23,山西省,680,,藤本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0446389.jpg,,,,,,,,,, +长尾毛蕊茶,Camellia caudata,川黔队,1759,19561012,贵州省,1600,山坡 疏密林中 阴,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075677.jpg,,,,,,,,,, +长尾毛蕊茶,Camellia caudata,广西调查队,586,195305,广西壮族自治区,,山脚,,无花无果,https://image.cvh.ac.cn/files/l/PE/02000186.jpg,,,,,,,,,, +长尾毛蕊茶,Camellia caudata,Shih-Wen Chung,9424,20090120,台湾省,600~700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923810.jpg,,,,,,,,,, +滇山茶,Camellia reticulata,刘恩德等,3516,20120322,云南省,2383,In secondary forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026284.jpg,,,,,,,,,, +滇山茶,Camellia reticulata,,Q40(1)1,19620921,广西壮族自治区,1470,落叶常绿混交林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01990608.jpg,,,,,,,,,, +茶,Camellia sinensis,植物资源考察队,Da0610,19860825,安徽省,1100,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02222178.jpg,,,,,,,,,, +茶,Camellia sinensis,税玉民,737,19921024,云南省,800,山坡次生林缘林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02222174.jpg,,,,,,,,,, +茶,Camellia sinensis,"黄玉滢,严岳鸿等",9133,20090516,湖南省,100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02222162.jpg,,,,,,,,,, +钻裂风玲草,Campanula aristata,,297,19640709,青海省,4400,山地阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082589.jpg,,,,,,,,,, +钻裂风玲草,Campanula aristata,D.E.Boufford et al.,41580,20090731,西藏自治区,4175,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917040.jpg,,,,,,,,,, +钻裂风玲草,Campanula aristata,秦岭队,10312,19580703,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01767879.jpg,,,,,,,,,, +灰岩风玲草,Campanula calcicola,George Forrest,22447,19220900,西藏自治区,4000~4333,On ledges and in crevices of shady limestone cliffs on the mountains,,有花无果,https://image.cvh.ac.cn/files/l/PE/01240707.jpg,,,,,,,,,, +灰岩风玲草,Campanula calcicola,青藏队,14325,19830925,四川省,3400,山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01240704.jpg,,,,,,,,,, +灰岩风玲草,Campanula calcicola,刘慎谔,21091,19461004,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01240703.jpg,,,,,,,,,, +灰毛风玲草,Campanula cana,"税玉民,陈文红,张美德等",64325,20060814,云南省,2013,林缘山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056868.jpg,,,,,,,,,, +灰毛风玲草,Campanula cana,"陈又生,张树仁,于胜祥等",562,20111114,西藏自治区,2947,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01961358.jpg,,,,,,,,,, +长柱风玲草,Campanula chinensis,"洪德元,马欣堂,王强",H12038,20120808,西藏自治区,2450,路旁土坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056979.jpg,,,,,,,,,, +长柱风玲草,Campanula chinensis,王启无,70082,19350900,云南省,2700,Mountain slope,Herbs,无花有果,https://image.cvh.ac.cn/files/l/PE/01240757.jpg,,,,,,,,,, +流石风玲草,Campanula crenulata,"王利松,叶建飞",192,20090814,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056873.jpg,,,,,,,,,, +流石风玲草,Campanula crenulata,康藏植物考察队,10-3314,20100905,云南省,3700~4000,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01961353.jpg,,,,,,,,,, +流石风玲草,Campanula crenulata,G.Forrest,30682,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621495.jpg,,,,,,,,,, +丽江风玲草,Campanula delavayi,George Forrest,30926,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01372637.jpg,,,,,,,,,, +丽江风玲草,Campanula delavayi,R.C.Ching,30597,19390902,云南省,,On open stony pasture,,有花无果,https://image.cvh.ac.cn/files/l/PE/01241119.jpg,,,,,,,,,, +丽江风玲草,Campanula delavayi,青藏队,14180,19830922,四川省,3000,山坡 高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173872.jpg,,,,,,,,,, +头花风玲草,Campanula glomeratoides,青藏队,1461,19730924,西藏自治区,2700,沟边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01241262.jpg,,,,,,,,,, +,Campanula immodesta,PE-西藏队,3439,20130715,西藏自治区,4151,林缘湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056803.jpg,,,,,,,,,, +,Campanula immodesta,Harry Smith,3921,19220720,四川省,4300~4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621498.jpg,,,,,,,,,, +藏南风玲草,Campanula nakaoi,PE-西藏队,3832,20130722,西藏自治区,3700,山坡灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056780.jpg,,,,,,,,,, +藏南风玲草,Campanula nakaoi,M.Suzuki etc.,9485285,19940805,,3100~3730,shady rocky place,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1224825.jpg,,,,,,,,,, +,Campanula pallida,"H.Li,S.X.Yang,R.Li etc.",706,20021106,云南省,2530,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112501.jpg,,,,,,,,,, +,Campanula pallida,Y.Omori N.Acharya K.Fujikawa et al,9940001,19990803,,2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101913.jpg,,,,,,,,,, +,Campanula pallida,PLPH Tibet expedition,12-1114,,西藏自治区,,河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057066.jpg,,,,,,,,,, +云南风玲草,Campanula yunnanensis,北京所横断山队,2729,19810809,云南省,1900,山坡 岩石常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01479790.jpg,,,,,,,,,, +藏南金钱豹,Campanumoea inflata,,2499,19740912,西藏自治区,1800,常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621347.jpg,,,,,,,,,, +藏南金钱豹,Campanumoea inflata,Remark,s.n.,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01361874.jpg,,,,,,,,,, +金钱豹,Campanumoea javanica subsp. japonica,北京队,897426,19890926,广西壮族自治区,980,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02016948.jpg,,,,,,,,,, +金钱豹,Campanumoea javanica subsp. japonica,PE-古蔺考察队,898,20100907,贵州省,1114~985,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01864493.jpg,,,,,,,,,, +金钱豹,Campanumoea javanica subsp. japonica,PE-古蔺考察队,816,20100907,四川省,1070~977,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01864492.jpg,,,,,,,,,, +喜树,Camptotheca acuminata,邵剑文,2014383s,20140924,安徽省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111783.jpg,,,,,,,,,, +喜树,Camptotheca acuminata,"刘金鉴,田景全",190,19631012,四川省,800,山谷路旁密林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092027.jpg,,,,,,,,,, +喜树,Camptotheca acuminata,C.W.Wang,79510,19360900,云南省,1000,mt.slope woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090207.jpg,,,,,,,,,, +橙花开口箭,Campylandra aurantiaca,"郭永杰, 王雨华, 杨立新, 李姗",18CS16958,20180513,西藏,1551,村旁,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484275.jpg,,,,,,,,,, +橙花开口箭,Campylandra aurantiaca,闫丽春,C090329,20190717,云南,570,栽培,草本,无花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030876.jpg,,,,,,,,,, +开口箭,Campylandra chinensis,陈彦生、吴振海、黎斌、郭晓思等,502,2004/6/29,陕西省,1880,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0489129.jpg,,,,,,,,,, +开口箭,Campylandra chinensis,陈彦生、吴振海、黎斌、郭晓思等,1279,2004/7/11,重庆市,1408,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0492227.jpg,,,,,,,,,, +剑叶开口箭,Campylandra ensifolia,段在贤,蔡之红,密得生,BSGLGSly1272,20130308,云南,2430,常绿阔叶林,草质,,https://image.cvh.ac.cn/files/l/KUN/1391642.jpg,,,,,,,,,, +齿瓣开口箭,Campylandra fimbriata,张挺、何德明、韦荣彪,13CS7845,20130425,云南,2190,河谷两侧阔叶林下,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1391643.jpg,,,,,,,,,, +齿瓣开口箭,Campylandra fimbriata,贺海生,70405007,20070405,湖南省,,路边,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU21754.jpg,,,,,,,,,, +齿瓣开口箭,Campylandra fimbriata,张代贵,YD11086,20091107,湖南湘西州,,灌丛中潮湿处,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU61456.jpg,,,,,,,,,, +弯蕊开口箭,Campylandra wattii,刘恩德等,3507,20120322,云南省,2200,under broad-leaf forset,,无花无果,https://image.cvh.ac.cn/files/l/PE/01920734.jpg,,,,,,,,,, +弯蕊开口箭,Campylandra wattii,蔡杰,刘东升,杨德进,12CS5389,20120414,云南,570,河谷边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1391651.jpg,,,,,,,,,, +弯蕊开口箭,Campylandra wattii,,XPALSC237,20191121,,,无,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1391658.jpg,,,,,,,,,, +,Campylotropis brevifolia,青藏队,12018,19830714,四川省,1200~1300,江边灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00463065.jpg,,,,,,,,,, +短序[艹/杭]子梢,Campylotropis brevifolia,冕宁县队,,19780925,四川,,路旁,路旁,有花无果,https://image.cvh.ac.cn/files/l/SM/SM707201342.jpg,,,,,,,,,, +,Campylotropis brevifolia,王新光,353,19760820,西藏自治区,0~2560,,灌木,有花无果,https://image.cvh.ac.cn/files/l/N/128079064_1.jpg,,,,,,,,,, +,Campylotropis capillipes subsp. prainii,"王启无,刘瑛",88040,19400322,云南省,1550,rockshill,,无花有果,https://image.cvh.ac.cn/files/l/PE/00182899.jpg,,,,,,,,,, +草山杭子梢,Campylotropis capillipes subsp. prainii,灌阳县普查队,450327150808042LY,20150808,广西壮族自治区,400,阔叶林,林下,石灰土,少见野生,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00402513.jpg,,,,,,,,,, +草山杭子梢,Campylotropis capillipes subsp. prainii,荔浦县普查队,450331181107021LY,20181107,广西,576,针阔混交林,路旁,黄棕壤,一般野生,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00415790.jpg,,,,,,,,,, +西南杭子梢,Campylotropis delavayi,,Q1,19730800,广西壮族自治区,800,砂无岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01996563.jpg,,,,,,,,,, +西南杭子梢,Campylotropis delavayi,罗林波,845,19950629,湖南省,300,山谷石壁石缝,,无花有果,https://image.cvh.ac.cn/files/l/PE/01334720.jpg,,,,,,,,,, +西南杭子梢,Campylotropis delavayi,田效文,42,19840730,四川省,2000,旱干河谷西坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01153713.jpg,,,,,,,,,, +毛杭子梢,Campylotropis hirtella,C.S.Chang et al.,SI1077,20100703,四川省,2073,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01924943.jpg,,,,,,,,,, +毛杭子梢,Campylotropis hirtella,北京所横断山队,2580,19810804,云南省,3150,林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487433.jpg,,,,,,,,,, +毛杭子梢,Campylotropis hirtella,青藏队,10936,19821003,西藏自治区,2700,山坡云南松林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00463080.jpg,,,,,,,,,, +,Campylotropis macrocarpa var. hupehensis,白水江采集队,4871,20070514,甘肃省,1250,河谷边杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826568.jpg,,,,,,,,,, +,Campylotropis macrocarpa var. hupehensis,,85,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00183394.jpg,,,,,,,,,, +,Campylotropis macrocarpa var. hupehensis,"J.Murata,H.Murata & M.Hasebe",30070,19890515,台湾省,1200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00183388.jpg,,,,,,,,,, +披针叶杭子梢,Campylotropis macrocarpa var. macrocarpa,刘正宇,2032986,20030606,贵州,500,灌木丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0080372.jpg,,,,,,,,,, +披针叶杭子梢,Campylotropis macrocarpa var. macrocarpa,谭士贤,1450,19791029,四川,100,江边岩石,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0080644.jpg,,,,,,,,,, +披针叶杭子梢,Campylotropis macrocarpa var. macrocarpa,刘正宇,182947-01,20080512,重庆,220,江边灌丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0080645.jpg,,,,,,,,,, +,Campylotropis sulcata,T.T.Yu.,17498,19380829,云南省,1600,among thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00183725.jpg,,,,,,,,,, +,Campylotropis sulcata,李永亮等,YDDXS1010,20120201,云南,950,干热河谷、季雨林间,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1319356.jpg,,,,,,,,,, +三棱枝杭子梢,Campylotropis trigonoclada,川黔队,2131,19561017,贵州省,1150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083750.jpg,,,,,,,,,, +三棱枝杭子梢,Campylotropis trigonoclada,刘冰等,958,20070816,云南省,2100,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063903.jpg,,,,,,,,,, +三棱枝杭子梢,Campylotropis trigonoclada,Yang,3603,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00183793.jpg,,,,,,,,,, +,Campylotropis wilsonii,青藏队,2077,19810702,云南省,2100,金沙江支流干旱河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00183826.jpg,,,,,,,,,, +,Campylotropis wilsonii,F.T.Wang,21671,19300700,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00183825.jpg,,,,,,,,,, +,Campylotropis yunnanensis subsp. filipes,,2815,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00183860.jpg,,,,,,,,,, +丝梗杭子梢,Campylotropis yunnanensis subsp. filipes,刘正宇,3354,19811112,云南,1950,林缘,灌木,有花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0080371.jpg,,,,,,,,,, +滇榄,Canarium strictum,生态室高原组,s.n.,19800802,西藏自治区,900,山坡 下部,,无花无果,https://image.cvh.ac.cn/files/l/PE/01506028.jpg,,,,,,,,,, +滇榄,Canarium strictum,考察队,34745,19831125,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/028401.jpg,,,,,,,,,, +毛果小甘菊,Cancrinia lasiocarpa,钟补求,8737,19580827,甘肃省,1800,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607213.jpg,,,,,,,,,, +毛果小甘菊,Cancrinia lasiocarpa,,3,19441000,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607201.jpg,,,,,,,,,, +灌木小甘菊,Cancrinia maximowiczii,Anonymous,1321,19580902,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235440.jpg,,,,,,,,,, +灌木小甘菊,Cancrinia maximowiczii,陈又生等,141046,20140729,内蒙古自治区,,"荒漠砂石坡,常见",,有花无果,https://image.cvh.ac.cn/files/l/PE/02035996.jpg,,,,,,,,,, +大麻,Cannabis sativa,陈全胜,CF-0012-351,20170828,内蒙古自治区,904,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246669.jpg,,,,,,,,,, +大麻,Cannabis sativa,"刘彬彬,刘广宁",4002,20180728,北京市,,On the sloopes of broadleaved deciduous forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234029.jpg,,,,,,,,,, +琼梅,Canthium hainanense,谢彦军、梁树朝,B0345,20100722,广西,~4,山地,路旁;少见,灌木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00435657.jpg,,,,,,,,,, +,Capillipedium alpinum,田效文,154(1),19820903,四川省,3050,山地灌草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487248.jpg,,,,,,,,,, +,Capillipedium alpinum,"田效文,张正华,汤宗孝",1027,19810909,云南省,2720,干旱山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487191.jpg,,,,,,,,,, +硬秆子草,Capillipedium assimile,Liu Yanchun,511,20101016,云南省,2201,on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088648.jpg,,,,,,,,,, +硬秆子草,Capillipedium assimile,巴山采集队,3051,20100723,四川省,695,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059894.jpg,,,,,,,,,, +硬秆子草,Capillipedium assimile,S.Noshiro et al.,9770015,19970812,,1950,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023078.jpg,,,,,,,,,, +细柄草,Capillipedium parviflorum,"H.Li,S.X.Yang,R.Li etc.",1020,20021108,云南省,2520,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109585.jpg,,,,,,,,,, +细柄草,Capillipedium parviflorum,江西队,2414,19541010,江西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072481.jpg,,,,,,,,,, +细柄草,Capillipedium parviflorum,巴山采集队,6096,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059997.jpg,,,,,,,,,, +野香橼花,Capparis bodinieri,刘正宁,3439,19820429,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231573.jpg,,,,,,,,,, +野香橼花,Capparis bodinieri,陈照宙,50420,19570503,广西壮族自治区,,路旁阳处灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231568.jpg,,,,,,,,,, +,Capparis spinosa,关克俭,991,19570622,新疆维吾尔自治区,,梭梭林间,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231615.jpg,,,,,,,,,, +,Capparis spinosa,"郭柯,郑度",巴-021,19891001,,,印度河谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231611.jpg,,,,,,,,,, +荠,Capsella bursa-pastoris,PE西藏考察队,7933,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332632.jpg,,,,,,,,,, +荠,Capsella bursa-pastoris,"H.Li,S.X.Yang,R.Li etc.",823,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109164.jpg,,,,,,,,,, +荠,Capsella bursa-pastoris,何明友 谭仲明,117029,19830429,四川省,1200,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02095810.jpg,,,,,,,,,, +树锦鸡儿,Caragana arborescens,杨朝广,42,19561012,河北省,,河槽,,无花有果,https://image.cvh.ac.cn/files/l/PE/01827020.jpg,,,,,,,,,, +树锦鸡儿,Caragana arborescens,樊映汉,156,19590510,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01812600.jpg,,,,,,,,,, +树锦鸡儿,Caragana arborescens,"傅坤俊,郭本兆",10124,19560528,陕西省,1600,山脊上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01812171.jpg,,,,,,,,,, +,Caragana bicolor,PE西藏考察队,7929,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333808.jpg,,,,,,,,,, +,Caragana bicolor,"陈伟烈,陈家瑞,郭柯等",6795,19840625,四川省,3450,冷杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045356.jpg,,,,,,,,,, +,Caragana boisi,"四川队,关克俭,王文采等",68,19630714,四川省,2550,河谷山坡路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00463131.jpg,,,,,,,,,, +,Caragana boisi,,157,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00181771.jpg,,,,,,,,,, +短叶锦鸡,Caragana brevifolia,,87,19640618,甘肃省,2850,北坡,西南坡凹坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00182467.jpg,,,,,,,,,, +短叶锦鸡,Caragana brevifolia,何小兰,775,19890716,青海省,2150,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00182427.jpg,,,,,,,,,, +,Caragana changduensis,青藏队植被组,9004,19760708,西藏自治区,4000,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01521099.jpg,,,,,,,,,, +,Caragana changduensis,杨昌友,932,19650615,青海省,3850,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01521098.jpg,,,,,,,,,, +青海锦鸡儿,Caragana chinghaiensis var. minima,,,19820800,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00463133.jpg,,,,,,,,,, +青海锦鸡儿,Caragana chinghaiensis var. minima,张永田 郎楷永,126,19650629,西藏自治区,3600,草地,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00181363.jpg,,,,,,,,,, +小青海锦鸡儿,Caragana chinghaiensis var. minima,不祥,36,19800523,青海省,4100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/86479.jpg,,,,,,,,,, +,Caragana crassispina,杨永平,王东超,杨大松,张春林,陶云芬,YangYP-Q-5055,20110905,西藏,4215,河边草地,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1319413.jpg,,,,,,,,,, +粗刺锦鸡儿,Caragana crassispina,西藏考察队,131,19730530,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/83010.jpg,,,,,,,,,, +,Caragana crassispina,"Kingdon-Ward, Francis",5710,29-May-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00301091.jpg,,,,,,,,,, +,Caragana dasyphylla,刘冰,936,20070806,新疆维吾尔自治区,1565,荒漠,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043486.jpg,,,,,,,,,, +,Caragana dasyphylla,中国科学院新疆综合考察队,4,19590421,,2370,灌木荒漠草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/00181806.jpg,,,,,,,,,, +,Caragana davazamcii,西宁队,544,19620626,内蒙古自治区,,砂地及砂丘,,无花有果,https://image.cvh.ac.cn/files/l/PE/00181808.jpg,,,,,,,,,, +,Caragana davazamcii,"张挺,张书东,郭永杰",13CS7574,20130525,西藏自治区,2964,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1370848.jpg,,,,,,,,,, +,Caragana davazamcii,"郭永杰,胡枭剑,左忠,朱强,戴国礼",15CS10455,20150829,宁夏回族自治区,1261,沙漠,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1322613.jpg,,,,,,,,,, +,Caragana densa,白龙江考察队,876,19980726,甘肃省,2500,山地 山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01560982.jpg,,,,,,,,,, +,Caragana densa,"郎楷永,李良千,费勇",1939,19830621,四川省,2700~2800,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00463136.jpg,,,,,,,,,, +川西锦鸡儿,Caragana erinacea,PE西藏考察队,7022,20180608,西藏自治区,4172~4868,湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333809.jpg,,,,,,,,,, +川西锦鸡儿,Caragana erinacea,孙学刚等,20010390,20010819,甘肃省,2450,沟谷灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01833803.jpg,,,,,,,,,, +川西锦鸡儿,Caragana erinacea,杨永昌,933,19650614,青海省,3850,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538521.jpg,,,,,,,,,, +云南锦鸡儿(原变种),Caragana franchetiana var. franchetiana,谢登峰、蔡竞、秦换换,SC-00-005-A-015,20200829,四川,3812.63m,高原灌丛,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02060904.jpg,,,,,,,,,, +,Caragana gerardiana,Anonymous,27,19640609,青海省,3850,山坡阳坡石质山的较暗湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061666.jpg,,,,,,,,,, +,Caragana gerardiana,西藏队,1435,19610514,西藏自治区,4020,东岸山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045484.jpg,,,,,,,,,, +,Caragana gerardiana,泛喜马拉雅植物志巴基斯坦采集队,FPH-0121,20120619,,1850,湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004923.jpg,,,,,,,,,, +双耳鬼箭,Caragana jubata var. biaurita,杨朝广,1710,19530605,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432512.jpg,,,,,,,,,, +两耳鬼箭,Caragana jubata var. biaurita,刘尚武,76,19650620,青海省,4700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0210389.jpg,,,,,,,,,, +,Caragana jubata var. jubata,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-131-B10,20190819,四川,3950,灌丛群落,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261127.jpg,,,,,,,,,, +,Caragana jubata var. recurva,"川西队,关克俭,王文采等",1004,19630728,四川省,4000,高山草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00463202.jpg,,,,,,,,,, +,Caragana jubata var. recurva,,2087,,甘肃省,3000,Near Lanchow.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00181867.jpg,,,,,,,,,, +通天河锦鸡儿,Caragana junatovii,"常朝阳,刘培亮,盛国文",2010257,20100714,青海省,3900,山坡,,无花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0512019.jpg,,,,,,,,,, +通天锦鸡儿,Caragana junatovii,秦志业,10228,19630824,西藏自治区,4300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/001152.jpg,,,,,,,,,, +柠条锦鸡儿,Caragana korshinskii,,247,19860628,宁夏回族自治区,1700,沙地榆树疏林,柠条灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833749.jpg,,,,,,,,,, +柠条锦鸡儿,Caragana korshinskii,黄河调查队,1826,19550611,山西省,,黄土,,无花有果,https://image.cvh.ac.cn/files/l/PE/01607924.jpg,,,,,,,,,, +柠条锦鸡儿,Caragana korshinskii,黄河调查队,6878,19560522,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01607923.jpg,,,,,,,,,, +,Caragana kozlowii,陈世龙,张得钧,高庆波等,ChenSL0363,20080807,青海,3220,云杉林,灌木,,https://image.cvh.ac.cn/files/l/KUN/1319482.jpg,,,,,,,,,, +沧江锦鸡儿,Caragana kozlowii,徐朗然,248,19820530,西藏自治区,3800,云杉林空地,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0435909.jpg,,,,,,,,,, +沧江锦鸡儿,Caragana kozlowii,四川植被调查队,15043,1977-6 8,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0057317.jpg,,,,,,,,,, +,Caragana licentiana,兰大三小队,195,19600925,甘肃省,2100,干山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01833763.jpg,,,,,,,,,, +,Caragana licentiana,黄河队,7616,19560803,陕西省,1700,梁顶,,无花无果,https://image.cvh.ac.cn/files/l/PE/00180816.jpg,,,,,,,,,, +小叶锦鸡儿,Caragana microphylla,黄河队,1418,19550602,山西省,,山坡阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/02081509.jpg,,,,,,,,,, +小叶锦鸡儿,Caragana microphylla,云台山采集队,687,20090611,河南省,,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02030792.jpg,,,,,,,,,, +小叶锦鸡儿,Caragana microphylla,昌平队,62,20000810,北京市,400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026455.jpg,,,,,,,,,, +甘蒙锦鸡儿,Caragana opulens,D.E.Boufford et al.,33801,20050730,西藏自治区,3440,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01925187.jpg,,,,,,,,,, +甘蒙锦鸡儿,Caragana opulens,D.E.Boufford et al.,36428,20060814,四川省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925157.jpg,,,,,,,,,, +甘蒙锦鸡儿,Caragana opulens,黄河调查队,6517,19560521,陕西省,,路边阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851828.jpg,,,,,,,,,, +昆仑锦鸡儿,Caragana polourensis,李渤生,11721,19880618,新疆维吾尔自治区,2900~3000,山坡 草原中时见 局部优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468304.jpg,,,,,,,,,, +昆仑锦鸡儿,Caragana polourensis,,176,19590529,,2300~2400,山坡下部,,有花无果,https://image.cvh.ac.cn/files/l/PE/00182138.jpg,,,,,,,,,, +,Caragana roborovskyi,河西,904,19640715,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00182465.jpg,,,,,,,,,, +,Caragana roborovskyi,郑斯绪,286,19600617,青海省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00182412.jpg,,,,,,,,,, +,Caragana roborovskyi,于兆英,1790,19810813,宁夏回族自治区,2200,山麓,阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00182229.jpg,,,,,,,,,, +红花锦鸡儿,Caragana rosea,昌平队,192,20010505,北京市,430,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026310.jpg,,,,,,,,,, +红花锦鸡儿,Caragana rosea,钟志宇,387,19930715,甘肃省,2600,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833762.jpg,,,,,,,,,, +锦鸡儿,Caragana sinica,东陵调查队,190,19550618,河北省,,山坡 路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01466712.jpg,,,,,,,,,, +锦鸡儿,Caragana sinica,北京市中草药普查队,房141,19710524,北京市,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00867585.jpg,,,,,,,,,, +狭叶锦鸡儿,Caragana stenophylla,中苏队,2,19600423,内蒙古自治区,1340,平原沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078459.jpg,,,,,,,,,, +狭叶锦鸡儿,Caragana stenophylla,Anonymous,267,19640705,青海省,3700,山地阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061603.jpg,,,,,,,,,, +狭叶锦鸡儿,Caragana stenophylla,,416,19860903,甘肃省,1530,砾石洪积扇平原上覆薄层粉砂,,无花无果,https://image.cvh.ac.cn/files/l/PE/01833815.jpg,,,,,,,,,, +,Caragana sukiensis,"唐宇丹,林秦文",2010-161,20100926,西藏自治区,2896,南北向沟谷西坡 沙土和腐殖土 地势,,无花有果,https://image.cvh.ac.cn/files/l/PE/02040642.jpg,,,,,,,,,, +尼泊尔锦鸡儿,Caragana sukiensis,"张挺, 刘成, 亚吉东",18CS17592,20180912,西藏,3274,灌丛林缘草地,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484236.jpg,,,,,,,,,, +甘青锦鸡儿,Caragana tangutica,科学院黄河队甘一队,1861,19560807,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081661.jpg,,,,,,,,,, +甘青锦鸡儿,Caragana tangutica,"陈伟烈,陈家瑞,郭柯等",6828,19840626,四川省,2930,干旱河谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045648.jpg,,,,,,,,,, +甘青锦鸡儿,Caragana tangutica,罗建等,85,20090929,西藏自治区,3427,灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923310.jpg,,,,,,,,,, +川青锦鸡儿,Caragana tibetica,黄河队,7867,19560903,甘肃省,1800,杂草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082287.jpg,,,,,,,,,, +川青锦鸡儿,Caragana tibetica,黄河队,8364,19560901,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082286.jpg,,,,,,,,,, +变色锦鸡儿,Caragana versicolor,PE西藏考察队,8009,20180629,西藏自治区,4940,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333761.jpg,,,,,,,,,, +变色锦鸡儿,Caragana versicolor,T.N. Liou ,5508,19321015,,4750,干草坡上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00181693.jpg,,,,,,,,,, +岩生碎米荠,Cardamine calcicola,Anonymous,Q32,19620915,广西壮族自治区,1500,落叶常绿混交林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01995033.jpg,,,,,,,,,, +岩生碎米荠,Cardamine calcicola,龙茹,90141,20090504,湖北省,1500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01989413.jpg,,,,,,,,,, +岩生碎米荠,Cardamine calcicola,俞德俊,6081,19370610,四川省,2800,side of mt.stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/00817558.jpg,,,,,,,,,, +细裂碎米荠,Cardamine caroides,T.T.Yu,6889,19370706,四川省,3800,高山草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934773.jpg,,,,,,,,,, +露珠碎米荠,Cardamine circaeoides,甘启良,06-A1,20060503,湖北省,1250,山沟内石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059818.jpg,,,,,,,,,, +露珠碎米荠,Cardamine circaeoides,"王雪兵,苏旭,陈淑荣等",2014ZWWL-0002,20140428,四川省,2903,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021304.jpg,,,,,,,,,, +露珠碎米荠,Cardamine circaeoides,S.K.WU et al.,3188,19961110,云南省,1800~2000,Roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995922.jpg,,,,,,,,,, +洱源碎米荠,Cardamine delavayi,中甸队,3352,19630712,云南省,3450,红杉林下,草地,灌丛下,阴湿,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0496103.jpg,,,,,,,,,, +洱源碎米荠,Cardamine delavayi,胡志新,59,19770425,陕西,1180,山沟阴处,溪边岩石浮土上,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0344617.jpg,,,,,,,,,, +,Cardamine delavayi,吴征镒 刘德儀,20333,1944,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0004556.jpg,,,,,,,,,, +弯曲碎米荠,Cardamine flexuosa,"H.Li,S.X.Yang,R.Li etc.",1190,20021112,云南省,2530,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109020.jpg,,,,,,,,,, +弯曲碎米荠,Cardamine flexuosa,甘启良,2998,20080409,湖北省,600,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059798.jpg,,,,,,,,,, +弯曲碎米荠,Cardamine flexuosa,Taku Miyazaki,804326,20080425,,160~170,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039547.jpg,,,,,,,,,, +宽翅碎米荠,Cardamine franchetiana,周仕顺,6230,20090527,云南省,3600,山顶凹地沼泽地中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998025.jpg,,,,,,,,,, +宽翅碎米荠,Cardamine franchetiana,Harry Smith.,11437,19340822,四川省,4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998015.jpg,,,,,,,,,, +纤细碎米荠,Cardamine gracilis,郎楷永等,1729,19830610,四川省,2300,山坡阴湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821033.jpg,,,,,,,,,, +纤细碎米荠,Cardamine gracilis,田效文等,556,19810710,云南省,3200,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350770.jpg,,,,,,,,,, +颗粒碎米荠,Cardamine granulifera,王启无,71500,19350700,云南省,2800,rock,,有花有果,https://image.cvh.ac.cn/files/l/PE/01124655.jpg,,,,,,,,,, +,Cardamine granulifera,"Delavay, J.M.",281,1883-6-2,,,,,,https://image.cvh.ac.cn/files/l/P/P00747523.jpg,,,,,,,,,, +颗粒碎米荠,Cardamine granulifera,张桥蓉;余华,ZhangYH233,20200711,云南,2484,林下,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1554903.jpg,,,,,,,,,, +山荠碎米荠,Cardamine griffithii,PE西藏队,PE6051,20170906,西藏自治区,2935,山谷林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02309577.jpg,,,,,,,,,, +山荠碎米荠,Cardamine griffithii,M.Suzuki et al.,88,19880718,,,On wet ground along river in rocky place.,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068421.jpg,,,,,,,,,, +山荠碎米荠,Cardamine griffithii,华西采集队,20050004,20050518,四川省,1900,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995614.jpg,,,,,,,,,, +碎米荠,Cardamine hirsuta,巴山采集队,6100,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066266.jpg,,,,,,,,,, +碎米荠,Cardamine hirsuta,李振宇,11744,20090426,湖北省,1100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059820.jpg,,,,,,,,,, +碎米荠,Cardamine hirsuta,D.E.Boufford,42945,20130406,,35,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026672.jpg,,,,,,,,,, +肾叶碎米荠,Cardamine hydrocotyloides,青藏队,1839,19810706,云南省,,沟边 水边 云冷杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109329.jpg,,,,,,,,,, +弹裂碎米荠,Cardamine impatiens,李振宇,11730,20090424,湖北省,450,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059822.jpg,,,,,,,,,, +弹裂碎米荠,Cardamine impatiens,D.E.Boufford,42919,20120624,,455,mixed forest sandy forest margins and extending into open forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044293.jpg,,,,,,,,,, +弹裂碎米荠,Cardamine impatiens,"张树仁,陈淑荣,朗校安等",2121,20140620,四川省,1650~1800,山坡 阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021209.jpg,,,,,,,,,, +长柱碎米荠,Cardamine longistyla,青藏队,10191,19820908,西藏自治区,3700,山沟中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109362.jpg,,,,,,,,,, +长柱碎米荠,Cardamine longistyla,青藏队,10183,19820908,西藏,3600,山沟中草地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1205107.jpg,,,,,,,,,, +重齿碎米荠,Cardamine macrophylla var. diplodonta,李馨/Li Xing,77673,19580612,四川省,3000,沟边 林下阴湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029148.jpg,,,,,,,,,, +重齿碎米荠,Cardamine macrophylla var. diplodonta,俞德浚,9780,19370823,云南省,3800,山箐草地,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0496658.jpg,,,,,,,,,, +大叶碎米荠,Cardamine macrophylla var. macrophylla,徐光远,4738,19890505,陕西,1420,阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0475196.jpg,,,,,,,,,, +大叶碎米荠,Cardamine macrophylla var. macrophylla,刘昂、温兆捷,41203,20170412,湖南,,,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI067661.jpg,,,,,,,,,, +重齿小叶碎米荠,Cardamine microzyga var. duplolobata,T.T.Yu,6186,19370612,四川省,3500,密林下,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00934788.jpg,,,,,,,,,, +多花碎米荠,Cardamine multiflora,"张超,余磊",L006119,20060608,四川省,1750,湖边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995476.jpg,,,,,,,,,, +多花碎米荠,Cardamine multiflora,K.M.Feng,4825,19400617,云南省,2600,沟边杂林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01004211.jpg,,,,,,,,,, +匍匐碎米荠,Cardamine repens,攀枝花苏铁考察队,253,20100711,四川省,2221,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995547.jpg,,,,,,,,,, +匍匐碎米荠,Cardamine repens,"洪德元,潘开玉,戴波等",H97082,19970524,云南省,2760,limestone mountain summit thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350764.jpg,,,,,,,,,, +匍匐碎米荠,Cardamine repens,谭少林,YLDP165B,20140630,云南,,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1447004.jpg,,,,,,,,,, +鞭枝碎米荠,Cardamine rockii,"汤宗孝,张正华,田效文",470,19810630,云南省,3250,亚高山草甸草场半沼泽草场生于湿地沟内水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350732.jpg,,,,,,,,,, +鞭枝碎米荠,Cardamine rockii,俞德俊,5684,19370524,四川省,3100,side of mt.stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/01004359.jpg,,,,,,,,,, +,Cardamine rockii,周浙昆,苏涛,杨莹,张芳茗,李国锋,黄永江,Zhou09-104,20091014,云南,3909,路边,阔叶林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235439.jpg,,,,,,,,,, +单茎碎米荠,Cardamine simplex,俞德俊,11653,19370617,云南省,3100,ditch side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01004402.jpg,,,,,,,,,, +,Cardamine simplex,张挺,刘成,郭永杰等,09CS1379,20090720,云南,3226,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235441.jpg,,,,,,,,,, +狭叶碎米荠,Cardamine stenoloba,鄂神农架植考队,10663,19760630,湖北省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0122654.jpg,,,,,,,,,, +狭叶碎米荠,Cardamine stenoloba,李思锋、黎斌、张莹、胡浩,17131,20120613,陕西省,1100,山坡路旁,草本,有花有果,https://image.cvh.ac.cn/files/l/XBGH/XBGH015754.jpg,,,,,,,,,, +紫花碎米荠,Cardamine tangutorum,"张树仁,陈淑荣,朗校安等",2150,20140621,四川省,1801~1900,路边 林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021248.jpg,,,,,,,,,, +紫花碎米荠,Cardamine tangutorum,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1966,20130823,西藏自治区,4000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000587.jpg,,,,,,,,,, +紫花碎米荠,Cardamine tangutorum,孙学刚等,2741,20020513,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998146.jpg,,,,,,,,,, +三小叶碎米荠,Cardamine trifoliolata,北京队,892523,19890510,广西壮族自治区,1300,洼地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995043.jpg,,,,,,,,,, +三小叶碎米荠,Cardamine trifoliolata,王映明,5350,19880717,湖北省,1850,沟谷 水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01561289.jpg,,,,,,,,,, +三小叶碎米荠,Cardamine trifoliolata,,s.n.,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468041.jpg,,,,,,,,,, +钝叶云南碎米荠,Cardamine yunnanensis var. obtusata,红河植物考察队,567,19890425,广西壮族自治区,1150,沟谷阔叶林下小溪流边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01995039.jpg,,,,,,,,,, +钝叶云南碎米荠,Cardamine yunnanensis var. obtusata,青藏队,6814,19820525,云南省,2800~2900,山坡 落叶林下 岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01109356.jpg,,,,,,,,,, +钝叶云南碎米荠,Cardamine yunnanensis var. obtusata,青藏队,13497,19830827,四川省,3300,山坡 Picea 林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109354.jpg,,,,,,,,,, +,Cardamine yunnanensis var. yunnanensis,王乾、顾健,SCW1435,20200624,四川,3531.6,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274718.jpg,,,,,,,,,, +球果群心菜,Cardaria draba subsp. chalepensis,,119,19590626,新疆维吾尔自治区,,田埂,,无花有果,https://image.cvh.ac.cn/files/l/PE/01004919.jpg,,,,,,,,,, +球果群心菜,Cardaria draba subsp. chalepensis,A.Dieterle,188,19700413,,1550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01004920.jpg,,,,,,,,,, +毛果群心菜,Cardaria pubescens,Sino-Russian Altai Expedition,SRAE2004326,20040000,新疆维吾尔自治区,,Rocky steppe slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01767049.jpg,,,,,,,,,, +毛果群心菜,Cardaria pubescens,John Thomas Howell,51655,19760517,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01625683.jpg,,,,,,,,,, +大百合,Cardiocrinum giganteum,,,,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017608.jpg,,,,,,,,,, +大百合,Cardiocrinum giganteum,红水河植物考察队,2438,19890621,云南省,2000,次生灌木林山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017609.jpg,,,,,,,,,, +节毛飞廉,Carduus acanthoides,"J.I.Jeon,H.S.Lee,H.J.Eom,Y.J.Park et B.Liu",SI1351,20100810,四川省,3653,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101667.jpg,,,,,,,,,, +节毛飞廉,Carduus acanthoides,,516,19640717,青海省,3600,河漫滩路边农田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082924.jpg,,,,,,,,,, +节毛飞廉,Carduus acanthoides,巴山采集队,3481,20100723,陕西省,1243,草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059130.jpg,,,,,,,,,, +丝毛飞廉,Carduus crispus,张彩飞,2837,20110709,北京市,70,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247589.jpg,,,,,,,,,, +丝毛飞廉,Carduus crispus,于兆英,2136,19810903,内蒙古自治区,2500,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235874.jpg,,,,,,,,,, +丝毛飞廉,Carduus crispus,"Heung Soo Lee,Dong Chan Son,Beom Kyun Park",HNHM-D-130251,20130710,,979,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090915.jpg,,,,,,,,,, +团穗苔草,Carex agglomerata,张树仁等,1930,20140614,四川省,1600~1900,山坡 林下 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919029.jpg,,,,,,,,,, +团穗苔草,Carex agglomerata,蒲训,556,19910702,甘肃省,2300,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850372.jpg,,,,,,,,,, +团穗苔草,Carex agglomerata,Chen Zhiduan et al.,960873,19960603,重庆市,1860,damp valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850360.jpg,,,,,,,,,, +葱岭薹草,Carex alajica,冯建菊,LiuJQ0270,20080708,新疆,3161,草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397201.jpg,,,,,,,,,, +葱岭苔草,Carex alajica,青藏队 吴玉虎,870208,19870625,新疆维吾尔自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/144117.jpg,,,,,,,,,, +葱岭苔草,Carex alajica,,73-14,73.05.15,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00053047.jpg,,,,,,,,,, +刺苞薹草,Carex alexeenkoana,李安仁、朱家柟,7043,19580804,新疆,,云林下,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0256711.jpg,,,,,,,,,, +中亚苔草,Carex alexeenkoana,青藏队吴玉虎,3650,19880618,新疆维吾尔自治区,3300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/139279.jpg,,,,,,,,,, +,Carex allivescens,蒲训,555,19910702,甘肃省,2100,山谷地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850371.jpg,,,,,,,,,, +,Carex allivescens,,,18850514,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031628.jpg,,,,,,,,,, +,Carex allivescens,郭本兆,6647,1965/8/22,青海,2700,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0308231.jpg,,,,,,,,,, +高秆苔草,Carex alta,,8097,19750630,四川省,2010,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844745.jpg,,,,,,,,,, +高秆苔草,Carex alta,刘慎谔,18646,19410408,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01844733.jpg,,,,,,,,,, +高秆苔草,Carex alta,"张志松,张永田",3087,19600526,贵州省,1280,山坡草地上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01844731.jpg,,,,,,,,,, +黑褐穗苔草,Carex angustifructus,,301,19640709,青海省,,山顶草甸上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082342.jpg,,,,,,,,,, +黑褐穗苔草,Carex angustifructus,田效文,223,19830822,四川省,3520,亚高山草甸 低山丘陵,,有花无果,https://image.cvh.ac.cn/files/l/PE/01780177.jpg,,,,,,,,,, +黑褐穗苔草,Carex angustifructus,王启无,63737,193508,云南省,3700,grass plot,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0365790.jpg,,,,,,,,,, +无名薹草,Carex anomoea,Dr. Heinr. Frh. v. Handel-Mazz,4472,1914/8/8,云南; YUNNAN,2765,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00095407.jpg,,,,,,,,,, +北疆苔草,Carex arcatica,内蒙队,62,19630613,内蒙古自治区,,小山上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01555995.jpg,,,,,,,,,, +北疆苔草,Carex arcatica,"郭柯,郑度",12533,19880828,新疆维吾尔自治区,3000,湖边草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01468869.jpg,,,,,,,,,, +北疆薹草,Carex arcatica,关克俭,2093,19570721,新疆维吾尔自治区 ,0~2500,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0656502.jpg,,,,,,,,,, +干生苔草,Carex aridula,G.N.Potanin,s.n.,18850514,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031599.jpg,,,,,,,,,, +干生苔草,Carex aridula,,2469,19600614,青海省,2660,"河谷,林下",,有花有果,https://image.cvh.ac.cn/files/l/PE/00031608.jpg,,,,,,,,,, +干生苔草,Carex aridula,管中天,150251,19600507,四川省,2950,山坡 ,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031603.jpg,,,,,,,,,, +长芒苔草,Carex aristulifera,青藏队,8539,19820724,云南省,3500,山坡 灌丛草地岩石上,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00030577.jpg,,,,,,,,,, +长芒苔草,Carex aristulifera,青藏队,8539,19820724,云南,3500,山坡灌丛草地岩石上苔藓层,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0375483.jpg,,,,,,,,,, +粗糙苔草,Carex asperifructus,,5916,19240619,山西省,2100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031614.jpg,,,,,,,,,, +粗糙苔草,Carex asperifructus,K.M.Liou,7204,19360929,海南省,2380,"sous le Picea,lieux ombrages",,有花有果,https://image.cvh.ac.cn/files/l/PE/00031613.jpg,,,,,,,,,, +粗糙囊薹草,Carex asperifructus,齐威 ,LJQ-2008-GN-431,20080828,甘肃,2303,温带林缘草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397217.jpg,,,,,,,,,, +大桥苔草,Carex atrata subsp. aterrima,,W-213,19110000,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844761.jpg,,,,,,,,,, +大桥苔草,Carex atrata subsp. aterrima,K.Stejskal,s.n.,19070725,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01712004.jpg,,,,,,,,,, +类黑褐穗苔草,Carex atrofuscoides,汤宗孝,528,19820727,四川省,4700,"高山草甸,草场,平坝",,有花无果,https://image.cvh.ac.cn/files/l/PE/01862800.jpg,,,,,,,,,, +类黑褐穗苔草,Carex atrofuscoides,钟补求,5215,19520811,西藏自治区,,高山草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862799.jpg,,,,,,,,,, +浆果苔草,Carex baccans,,850,19640817,青海省,4200,盆地中央河漫滩,沼泽潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082818.jpg,,,,,,,,,, +浆果苔草,Carex baccans,王裕珠,Y0194,19781026,云南省,1900,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077978.jpg,,,,,,,,,, +浆果苔草,Carex baccans,北京队,893010,19891115,广西壮族自治区,,山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017069.jpg,,,,,,,,,, +,Carex breviculmis,"老铁山采集队 孙英宝,王小平,刘冰,徐晓婷,张学伟",8,20080429,辽宁省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089813.jpg,,,,,,,,,, +,Carex breviculmis,云台山采集队,966,20090618,河南省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02030632.jpg,,,,,,,,,, +,Carex breviculmis,甘启良,1417,20060423,湖北省,1200,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02005569.jpg,,,,,,,,,, +丛生苔草,Carex caespititia,杨国平,07-55,20071106,云南省,2450,草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01944564.jpg,,,,,,,,,, +丛生薹草,Carex caespititia,张昌兵,邓秀华,ZhangCB0319,20091112,四川,3433,沙地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397351.jpg,,,,,,,,,, +丛生薹草,Carex caespititia,杨赵平,黄文娟,TD-01758,20070825,新疆,3177,湿地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397353.jpg,,,,,,,,,, +武当苔草,Carex canaliculata,青藏队,6584,19820519,云南省,2500,山坡落叶阔叶林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01862848.jpg,,,,,,,,,, +沟囊薹草,Carex canaliculata,冯正波 朱大海 李小杰,20070420,20070517,四川省,1850,,草本,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/018753.jpg,,,,,,,,,, +沟囊苔草,Carex canaliculata,青藏队,6584,19820519,云南,2500,山坡落叶阔叶林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0376628.jpg,,,,,,,,,, +发秆苔草,Carex capillacea,谭仲明,93-141,19930717,四川省,3500,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307997.jpg,,,,,,,,,, +发秆苔草,Carex capillacea,S.Saito,9324,19260826,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849497.jpg,,,,,,,,,, +发秆苔草,Carex capillacea,"曹子余,程树志,韩家懋",224,20010715,吉林省,2000,高山草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01596882.jpg,,,,,,,,,, +丝秆薹草,Carex capilliculmis,余奇、熊先华、李琳霖,THP-KD-3854,20170806,四川,3747~3899,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255317.jpg,,,,,,,,,, +丝秆薹草,Carex capilliculmis,李思峰、黎斌、张莹、张瑞博,13206,20100522,陕西省,2213~2117,山坡竹林下,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/004673.jpg,,,,,,,,,, +藏东苔草,Carex cardiolepis,王金亭,3459,19610618,西藏自治区,4300,山顶,阴坡阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060771.jpg,,,,,,,,,, +藏东苔草,Carex cardiolepis,,Q44,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803782.jpg,,,,,,,,,, +,Carex changmuensis,"西藏东部,张经炜,王金亭",309,19660609,西藏自治区,4300,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075949.jpg,,,,,,,,,, +,Carex changmuensis,,Q3,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803783.jpg,,,,,,,,,, +,Carex chiwuana,北京横断山队,2111,,云南省,3800~4050,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048114.jpg,,,,,,,,,, +,Carex chiwuana,C. W. Wang,71006,Jul-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00035427.jpg,,,,,,,,,, +启无苔草,Carex chiwuana,王启无C. W. Wang,71006,19350700,云南,,Mountain slope,,无花有果,https://image.cvh.ac.cn/files/l/KUN/0374659.jpg,,,,,,,,,, +绿头苔草,Carex chlorocephalula,青藏队,14985,19831015,云南省,2500,山坡,云南松林下,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/01862855.jpg,,,,,,,,,, +绿头薹草,Carex chlorocephalula,李永亮等4人,YDDXS0354,20100709,云南,2014,针阔混交林间,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397363.jpg,,,,,,,,,, +无喙绿穗苔草,Carex chlorostachys var. conferta,K.M.Liou,6087,19360725,青海省,1940,"ravius,marecageux,nocailles",,有花有果,https://image.cvh.ac.cn/files/l/PE/00031669.jpg,,,,,,,,,, +无喙绿穗薹草,Carex chlorostachys var. conferta,"朱鑫鑫,安宇梦",ZXX18202,20180624,青海,3350,高原亚寒带高山石坡,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1435802.jpg,,,,,,,,,, +复序苔草,Carex composita,王裕珠,Y0302,19781000,云南省,2000,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077982.jpg,,,,,,,,,, +复序苔草,Carex composita,海南工作队 ,817,19550000,海南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00030394.jpg,,,,,,,,,, +扁囊苔草,Carex coriophora,T.Tang,1132,19290718,山西省,2200~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853153.jpg,,,,,,,,,, +扁囊苔草,Carex coriophora,,75,19590708,内蒙古自治区,1160,小水孢边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853152.jpg,,,,,,,,,, +扁囊苔草,Carex coriophora,K.M.Liou,6579,19360809,青海省,2000,Lieux prairies,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844795.jpg,,,,,,,,,, +密生苔草,Carex crebra,,158,19640621,青海省,4200,山地阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082831.jpg,,,,,,,,,, +密生苔草,Carex crebra,青藏队植被组,9391,19760802,西藏自治区,3800,阶地坡上(阳坡),,有花有果,https://image.cvh.ac.cn/files/l/PE/02075912.jpg,,,,,,,,,, +,Carex cremostachys,"Delavay, P.J.M.",4691,19 July 1889,,,,,,https://image.cvh.ac.cn/files/l/E/E00386821.jpg,,,,,,,,,, +十字苔草,Carex cruciata,,84,,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032706.jpg,,,,,,,,,, +十字苔草,Carex cruciata,红水河植物考察队,2104,19890613,云南省,260,松林下水沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017081.jpg,,,,,,,,,, +狭囊苔草,Carex cruenta,孙学刚等,20010369,20010818,甘肃省,2500,沟谷湿地溪旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855168.jpg,,,,,,,,,, +狭囊苔草,Carex cruenta,T.T.Yu,8602,19370618,云南省,3350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853132.jpg,,,,,,,,,, +狭囊苔草,Carex cruenta,青藏队,5884,19810831,四川省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853133.jpg,,,,,,,,,, +库地苔草,Carex curaica,秦仁昌,1098,19560804,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230015.jpg,,,,,,,,,, +库地苔草,Carex curaica,,s.n.,19490808,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01712227.jpg,,,,,,,,,, +,Carex cylindrostachys,"Delavay, J.M.",1742,1885-7-6,,,,,,https://image.cvh.ac.cn/files/l/P/P00281300.jpg,,,,,,,,,, +,Carex cylindrostachys,胡君、李丽、吴宏蓉、唐双磊、薛金瑞、党喜军,SC-a-107-B47,20190801,云南,2779,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262320.jpg,,,,,,,,,, +年佳苔草,Carex delavayi,"田效文,张正华",样 86(4),19810825,云南省,3210,亚高山 草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780206.jpg,,,,,,,,,, +年佳苔草,Carex delavayi,青藏队,12649,19830806,四川省,3000,山沟边次生林杂木林下 湿润,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191547.jpg,,,,,,,,,, +小穗薹草,Carex dichroa,邱娟,冯建菊,LiuJQ0060,20080805,新疆,3500,草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397446.jpg,,,,,,,,,, +小穗薹草,Carex dichroa,锡盟植物种组,71,19590708,内蒙古,1160,水沟边,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0185198.jpg,,,,,,,,,, +小穗薹草,Carex dichroa,邱娟、冯建菊,LiuJQ0060,20080805,新疆维吾尔自治区,3500,草原,草本,无花有果,https://image.cvh.ac.cn/files/l/HNWP/00000073.jpg,,,,,,,,,, +丽江苔草,Carex dielsiana,姜恕等,9300,19600507,云南省,,荒坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853060.jpg,,,,,,,,,, +丽江薹草,Carex dielsiana,不祥,22,19640609,青海省,3850,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0217101.jpg,,,,,,,,,, +,Carex dielsiana,"Handel-Mazzetti, H.",2302,17-May-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00386808.jpg,,,,,,,,,, +皱果苔草,Carex dispalata,,523,19620604,吉林省,900,阔叶林下 阳光较充足处 地面湿润,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075103.jpg,,,,,,,,,, +皱果苔草,Carex dispalata,张树仁等,2057,20140617,四川省,1639~1800,山坡 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919015.jpg,,,,,,,,,, +,Carex divisa,刘学忠,297,19590512,北京市,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827807.jpg,,,,,,,,,, +,Carex divisa,,s.n.,19270422,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01778982.jpg,,,,,,,,,, +单行苔草,Carex divisa,陆顺安,6590,1974-7 1,四川省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0159960.jpg,,,,,,,,,, +芒尖苔草,Carex doniana,"Chen Zhiduan,Feng Min,Ma Xintang",960968,19960604,重庆市,1900~2130,damp valley,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230077.jpg,,,,,,,,,, +芒尖苔草,Carex doniana,"董洪进,王泽欢,尹志坚",WM-0098,20160426,云南省,1300,路边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088639.jpg,,,,,,,,,, +芒尖苔草,Carex doniana,北京队,890058,19890422,广西壮族自治区,,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017090.jpg,,,,,,,,,, +镰喙苔草,Carex drepanorhyncha,曲桂齡,2478,,四川省,2450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853076.jpg,,,,,,,,,, +镰喙苔草,Carex drepanorhyncha,K.L.Chu,6036,19380413,重庆市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844777.jpg,,,,,,,,,, +白颖苔草,Carex duriuscula subsp. rigescens,"老铁山采集队 王小平,于业飞,杨传九,闫宝",256,20080605,辽宁省,,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089802.jpg,,,,,,,,,, +白颖苔草,Carex duriuscula subsp. rigescens,K.M.Liou,5796,19360710,甘肃省,1145,Dieux humides,,无花有果,https://image.cvh.ac.cn/files/l/PE/01844688.jpg,,,,,,,,,, +白颖苔草,Carex duriuscula subsp. rigescens,P.Licont S.J.,9515,19300717,北京市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01844687.jpg,,,,,,,,,, +,Carex duriuscula subsp. stenophylloides,河西队,456,19670819,甘肃省,3400,草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01844682.jpg,,,,,,,,,, +,Carex duriuscula subsp. stenophylloides,黄河队甘一队,2342,19560800,宁夏回族自治区,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01844674.jpg,,,,,,,,,, +,Carex duthiei,毛品一,1035,19520526,云南省,3700,草地峻坡干燥,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844756.jpg,,,,,,,,,, +,Carex duthiei,H.T.Tsai,58022,1934/8/18,,4000,,herb,无花无果,https://image.cvh.ac.cn/files/l/WUK/0039129.jpg,,,,,,,,,, +雷波薹草,Carex duthiei,彭玉兰、张君议、郑臣臣,THP-KD-3401,20170716,四川,3768~4150,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255308.jpg,,,,,,,,,, +类裨苔草,Carex echinochloaeformis,张永田 郎楷永,4474,19660623,西藏自治区,1750,山坡草地,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/01862891.jpg,,,,,,,,,, +类裨苔草,Carex echinochloaeformis,青藏队,7024,19820528,云南省,2500,落叶阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01862805.jpg,,,,,,,,,, +类稗薹草,Carex echinochloaeformis,E.E.Maire,1270,19130000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0655481.jpg,,,,,,,,,, +,Carex eminens,R.C.Ching,7539,19280918,广西壮族自治区,0~915,,tufted grass,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0655479.jpg,,,,,,,,,, +显异薹草,Carex eminens,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2688,20090925,西藏,4080,高寒草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397478.jpg,,,,,,,,,, +显异薹草,Carex eminens,C.W.Wang,81073,1936/11/,云南,800,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0035018.jpg,,,,,,,,,, +无脉苔草,Carex enervis,李馨,70463,19570508,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01837802.jpg,,,,,,,,,, +无脉苔草,Carex enervis,吴征镒等,75-1205,19750806,西藏自治区,4000~4900,大草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01837800.jpg,,,,,,,,,, +箭叶苔草,Carex ensifolia,孙学刚等,20010096,20010522,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798132.jpg,,,,,,,,,, +箭叶苔草,Carex ensifolia,,s.n.,19490727,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01707013.jpg,,,,,,,,,, +箭叶苔草,Carex ensifolia,"郭柯,郑度",12832,19900905,新疆维吾尔自治区,3750,沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/01507270.jpg,,,,,,,,,, +簇穗苔草,Carex fastigiata,汤宗孝,173,19820625,四川省,3250,半沼泽草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01681769.jpg,,,,,,,,,, +簇穗苔草,Carex fastigiata,,s.n.,,湖南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01321056.jpg,,,,,,,,,, +簇穗苔草,Carex fastigiata,北京所横断山队,2394,19810730,云南省,3600~3800,Abies 林缘湿地常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191335.jpg,,,,,,,,,, +蕨状苔草,Carex filicina,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",214,20020814,云南省,2600,常绿阔叶林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088538.jpg,,,,,,,,,, +蕨状苔草,Carex filicina,,23,,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032703.jpg,,,,,,,,,, +亮绿苔草,Carex finitima,"董洪进,赵飞",WM-0451,20160517,云南省,1900,路边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088635.jpg,,,,,,,,,, +亮绿苔草,Carex finitima,Chieh-Lin Huang et al.,2630,20060730,台湾省,2590,Mixed tall Yushania bamboo vegetation and Picea forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01950290.jpg,,,,,,,,,, +溴生苔草,Carex fluviatilis,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",307,20020815,云南省,2550,山坡次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088632.jpg,,,,,,,,,, +溴生苔草,Carex fluviatilis,巴山采集队,558,20080709,重庆市,1165,路边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860668.jpg,,,,,,,,,, +溴生苔草,Carex fluviatilis,,4249,19590721,四川省,2000,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835881.jpg,,,,,,,,,, +,Carex foliosa,"Maire, E.E.",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00386831.jpg,,,,,,,,,, +刺喙苔草,Carex forrestii,"张正华,田效文,汤宗孝",475,19810630,云南省,3250,亚高山草甸 半沼泽草场,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780026.jpg,,,,,,,,,, +刺喙薹草,Carex forrestii,刀志灵,DZL324,20080913,云南,1600,路边,草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397368.jpg,,,,,,,,,, +刺喙薹草,Carex forrestii,西藏中草药普查队,3138,19720531,西藏自治区,3070,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/82057.jpg,,,,,,,,,, +高黎秉贡山,Carex gaoligongshanensis,青藏队,8727,19820726,云南省,3600,垭口 灌丛 草地,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00030528.jpg,,,,,,,,,, +宽叶亲族苔草,Carex gentilis var. intermedia,巴山采集队,2068,20080719,重庆市,2175,山脊,,无花无果,https://image.cvh.ac.cn/files/l/PE/01860659.jpg,,,,,,,,,, +宽叶亲族苔草,Carex gentilis var. intermedia,T.N.Liou et al.,4036,19380930,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01841837.jpg,,,,,,,,,, +宽叶亲族苔草,Carex gentilis var. intermedia,禹平华,499,19570822,贵州省,1300,河边湿 沙地上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01841831.jpg,,,,,,,,,, +球柱苔草,Carex globistylosa,青藏队,4087,19810815,四川省,4300~4400,多石山坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050361.jpg,,,,,,,,,, +球柱苔草,Carex globistylosa,青藏队,4087,19810815,四川,4300-4400,多石山坡上,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0375999.jpg,,,,,,,,,, +贡?苔草,Carex gonggaensis,郎楷永 李良千 费勇,221,19820625,四川省,2800,河边湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01862899.jpg,,,,,,,,,, +贡嘎薹草,Carex gonggaensis,高信芬,鞠文彬,郑臣臣,THP-KD-5687,20170809,四川,4832,流石滩,多年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255130.jpg,,,,,,,,,, +贡山苔草,Carex gongshanensis,王启无,66670,19350900,云南省,2500,开阔的山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01862901.jpg,,,,,,,,,, +贡山薹草,Carex gongshanensis,陈晓澄等,6650,20140812,西藏自治区,2874,混合林下,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00017295.jpg,,,,,,,,,, +山苔草,Carex griffithii,西植新疆队,1135,19780707,新疆维吾尔自治区,,山坡草地水旁,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0334664.jpg,,,,,,,,,, +,Carex griffithii,新疆采集队,1485,1978/7/16,新疆,4300,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0335351.jpg,,,,,,,,,, +山苔草,Carex griffithii,陈晓澄等,2462,20120808,青海省,3760,灌丛山坡,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00017163.jpg,,,,,,,,,, +红嘴苔草,Carex haematostoma,张经炜,1172,19730822,西藏自治区,4550,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075946.jpg,,,,,,,,,, +红嘴苔草,Carex haematostoma,,12349,19830723,四川省,4000,山坡灌丛草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01939050.jpg,,,,,,,,,, +点叶苔草,Carex hancockiana,,783,19630713,吉林省,1400,路边阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074617.jpg,,,,,,,,,, +点叶苔草,Carex hancockiana,黄河队,513,19570527,山西省,1500,沟底,,有花有果,https://image.cvh.ac.cn/files/l/PE/01896155.jpg,,,,,,,,,, +点叶苔草,Carex hancockiana,何叶祺,4183,19590722,甘肃省,2800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850374.jpg,,,,,,,,,, +享氏苔草,Carex henryi,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",117,20130418,四川省,1343,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994294.jpg,,,,,,,,,, +享氏苔草,Carex henryi,刘正宇,181257,20070927,重庆市,720,溪边杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01823080.jpg,,,,,,,,,, +享氏苔草,Carex henryi,王印政等,4213,19981018,云南省,1750,山地山坡石山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802213.jpg,,,,,,,,,, +和须苔草,Carex heshuonensis,李安仁 朱家柟,7680,19580811,新疆维吾尔自治区,2540,云杉林中,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01862902.jpg,,,,,,,,,, +异鳞苔草,Carex heterolepis,云台山采集队,809,20090613,河南省,,水边密丛生,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023199.jpg,,,,,,,,,, +异鳞苔草,Carex heterolepis,北京山地综考队,156,19640604,北京市,1000,阴沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/01272156.jpg,,,,,,,,,, +异鳞苔草,Carex heterolepis,Miyoshi Furuse,16470,19320523,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01208470.jpg,,,,,,,,,, +流石苔草,Carex hirtelloides,刘武民,1457,19340000,四川省,3700~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853126.jpg,,,,,,,,,, +流石苔草,Carex hirtelloides,王金亭,3790,19610828,西藏自治区,4500,沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844811.jpg,,,,,,,,,, +流石苔草,Carex hirtelloides,北京所横断山队,2227,19810729,云南省,4200~4500,高山草甸中时见伴生种 岩石上多见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01600643.jpg,,,,,,,,,, +密毛苔草,Carex hirticaulis,青藏队,1043,19810611,云南省,3250,小中甸红杉林场,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01862904.jpg,,,,,,,,,, +密毛苔草,Carex hirticaulis,T.N.Ho B.Barthlolmew M.Watson et al,2561,19960828,青海省,3620,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01778717.jpg,,,,,,,,,, +密毛薹草,Carex hirticaulis,不祥,543,19720626,西藏自治区,3500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/30046.jpg,,,,,,,,,, +火炉山苔草,Carex huolushanensis,吴中伦,32467,19580628,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01172558.jpg,,,,,,,,,, +火炉山薹草,Carex huolushanensis,彭玉兰、余奇、李林霖,THP-KD-1325,20170616,四川,3091,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255782.jpg,,,,,,,,,, +毛囊苔草,Carex inanis,钟补求,7364,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031559.jpg,,,,,,,,,, +毛囊苔草,Carex inanis,王启无,64312,19350700,云南省,2300,"Ravine,stream Bide",,有花有果,https://image.cvh.ac.cn/files/l/PE/00031556.jpg,,,,,,,,,, +毛囊薹草,Carex inanis,刘成、何华杰、黄莉、杨忠兰,14CS8550,20141109,云南,1247,阔叶林林缘空地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1397583.jpg,,,,,,,,,, +垂穗苔草,Carex inclinis,张贵志 蔡磊,1104055,20110417,湖南省,360,路边,草本,无花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI056763.jpg,,,,,,,,,, +垂穗薹草,Carex inclinis,邵剑文 刘金 章伟 李永权,ANUB00536,20160421,安徽省,7.92578,水边,,有花无果,https://image.cvh.ac.cn/files/l/ANUB/ANUB000231.jpg,,,,,,,,,, +,Carex incurva,,172,19640620,青海省,4050,山间平原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082833.jpg,,,,,,,,,, +,Carex incurva,王金亭,3319,19610503,西藏自治区,4100,河漫滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804892.jpg,,,,,,,,,, +,Carex incurva,M.Sonden ,s.n.,19000706,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01778991.jpg,,,,,,,,,, +秆叶苔草,Carex insignis,K.M.Feng,13745,19471210,云南省,,in mixea forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853061.jpg,,,,,,,,,, +秆叶苔草,Carex insignis,生态室高原组,14046,19800806,西藏自治区,1750,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01844787.jpg,,,,,,,,,, +秆叶薹草,Carex insignis,李永亮,王四等,YDDXSB061,20071026,云南,1996.5,岩石裸露地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397612.jpg,,,,,,,,,, +,Carex ivanovae,,120,19640828,青海省,0,,!!草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/200070.jpg,,,,,,,,,, +甘肃苔草,Carex kansuensis,PE西藏考察队,7412,20180616,西藏自治区,3635,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332090.jpg,,,,,,,,,, +甘肃苔草,Carex kansuensis,,288,19640709,青海省,4300~4400,山地阳坡湿润处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082829.jpg,,,,,,,,,, +甘肃苔草,Carex kansuensis,应俊生,4096,19640620,四川省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01896158.jpg,,,,,,,,,, +卡郎苔草,Carex karlongensis,Harry Smith,3037,19220804,四川省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862987.jpg,,,,,,,,,, +卡郎薹草(侧生小穗常雌性),Carex karlongensis,彭玉兰、郑臣臣、张君议,THP-KD-3625,20170719,四川,2873-3751,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0240743.jpg,,,,,,,,,, +黄囊苔草,Carex korshinskii,内蒙队,101,19630615,内蒙古自治区,560,丘陵 石质陡坡 阳坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01555996.jpg,,,,,,,,,, +黄囊苔草,Carex korshinskii,秦仁昌,3070,19560914,新疆维吾尔自治区,1300,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031596.jpg,,,,,,,,,, +黄囊苔草,Carex korshinskii,王战,1436,19310816,,,小甸子边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031595.jpg,,,,,,,,,, +,Carex kunlunsanensis,,A0155,19860714,新疆维吾尔自治区,4300,草甸草原,,有花有果,https://image.cvh.ac.cn/files/l/XJBI/00934982.jpg,,,,,,,,,, +明亮苔草,Carex laeta,PE西藏考察队,7335,20180616,西藏自治区,3631,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333314.jpg,,,,,,,,,, +明亮苔草,Carex laeta,"田效文,汤宗孝,张正华",876,19810813,云南省,4280,红沙石质山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780077.jpg,,,,,,,,,, +明亮苔草,Carex laeta,青藏队,10452,19830913,四川省,4300,山坡 灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191573.jpg,,,,,,,,,, +披针苔草,Carex lanceolata,石雷 林秦文,v2011035,20110415,北京市,160,阳坡草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112322.jpg,,,,,,,,,, +披针苔草,Carex lanceolata,,781,19630713,吉林省,1400,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075110.jpg,,,,,,,,,, +披针苔草,Carex lanceolata,云台山采集队,450,20090420,河南省,,山沟山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02030630.jpg,,,,,,,,,, +,Carex lehmannii,T.H.Tu,1424,19340000,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0654723.jpg,,,,,,,,,, +,Carex lehmannii,傅国勋,993,19570723,湖北省,0~2300,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0654726.jpg,,,,,,,,,, +舌叶苔草,Carex ligulata,巴山采集队,6263,20120708,四川省,554~610,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059943.jpg,,,,,,,,,, +舌叶苔草,Carex ligulata,北京队,890294,19890425,广西壮族自治区,600,山沟林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017145.jpg,,,,,,,,,, +舌叶苔草,Carex ligulata,红水河植物考察队,1756,19890527,云南省,1350,石灰岩山杂林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017146.jpg,,,,,,,,,, +二柱苔草,Carex lithophila,孙学刚等,20010369,20010818,甘肃省,2500,沟谷湿地溪旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855167.jpg,,,,,,,,,, +二柱苔草,Carex lithophila,内蒙队,307,19630708,内蒙古自治区,,河边河漫 草甸(沼泽化),,有花无果,https://image.cvh.ac.cn/files/l/PE/01555990.jpg,,,,,,,,,, +二柱苔草,Carex lithophila,Miyoshi Furuse,41089,19630629,,950,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01208897.jpg,,,,,,,,,, +长穗苔草,Carex longipes,K.L.Chu,7750,19400817,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01841830.jpg,,,,,,,,,, +长穗苔草,Carex longipes,"田效文,汤宗孝,张正华",402,19810618,云南省,2600,石质 丘陵,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780043.jpg,,,,,,,,,, +马库苔草,Carex makuensis,青藏队,9148,19820809,云南省,1400,河边沙滩地,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00030538.jpg,,,,,,,,,, +马库苔草,Carex makuensis,青藏队,9148,19820809,云南,1400,河边沙滩地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0375502.jpg,,,,,,,,,, +昌宁苔草,Carex melinacra,T.T.Yu,16205,19300730,云南省,3000,side of stream,sedge,有花有果,https://image.cvh.ac.cn/files/l/PE/00030527.jpg,,,,,,,,,, +扭喙苔草,Carex melinacra,,,19580524,浙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031691.jpg,,,,,,,,,, +扭喙苔草,Carex melinacra,,,,上海市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031690.jpg,,,,,,,,,, +尖苞苔草,Carex microglochin,T.Naito et al.,541,19860430,四川省,3350,On wet ground on slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01706590.jpg,,,,,,,,,, +尖苞薹草,Carex microglochin,杨赵平,周禧林,贺冰等,LiZJ1228,20100805,新疆,3730,山间草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397706.jpg,,,,,,,,,, +尖苞薹草,Carex microglochin,李晓东,刘帆,张景博,徐凌翔,LiJ0115,20080906,甘肃,3495,高山草甸,湿地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397707.jpg,,,,,,,,,, +宕叶苔草,Carex montis-everestii,PE西藏队,PE5379,20170828,西藏自治区,4019,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891502.jpg,,,,,,,,,, +青藏苔草,Carex moorcroftii,PE西藏考察队,7029,20180608,西藏自治区,4172~4868,湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333257.jpg,,,,,,,,,, +青藏苔草,Carex moorcroftii,,378,19640713,青海省,4400,山顶、山地阴坡湿润处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082834.jpg,,,,,,,,,, +宝兴苔草,Carex moupinensis,植物所三峡考察队,1004,20080502,重庆市,500~960,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01823101.jpg,,,,,,,,,, +宝兴苔草,Carex moupinensis,"程子白,伍煜庭",115821,19820515,四川省,1720,坡地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01546945.jpg,,,,,,,,,, +宝兴薹草,Carex moupinensis,谭沛祥,62855,,湖南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0653407.jpg,,,,,,,,,, +木里苔草,Carex muliensis,田效文等,199(1),19830816,四川省,3600,沼泽草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780111.jpg,,,,,,,,,, +木里苔草,Carex muliensis,,39(1),19810716,云南省,3960,沼泽草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780099.jpg,,,,,,,,,, +秀丽苔草,Carex munda,青藏队,10133,19820908,西藏自治区,3700~3900,山沟中灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191426.jpg,,,,,,,,,, +鼠尾苔草,Carex myosurus,科考队,1612,19740805,西藏自治区,1300,常绿阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01856393.jpg,,,,,,,,,, +鼠尾苔草,Carex myosurus,青藏队,8150,19820718,云南省,2000,沟边常绿阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191435.jpg,,,,,,,,,, +钝鳞苔草,Carex nakaoana,青藏队补点组,751445,19750819,西藏自治区,5050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853129.jpg,,,,,,,,,, +双柱苔草,Carex neodigyna,汤宗孝,1899,19830907,四川省,3900,山坡高山灌丛草场,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01862949.jpg,,,,,,,,,, +喜马拉雅苔草,Carex nivalis,T.T.Yu,8652,19370619,云南省,3500,mt grassy slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/01939048.jpg,,,,,,,,,, +喜马拉雅苔草,Carex nivalis,姜恕等,5235,19610617,四川省,3640,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853136.jpg,,,,,,,,,, +云雾苔草,Carex nubigena,EP西藏考察队,7977,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332404.jpg,,,,,,,,,, +云雾苔草,Carex nubigena,谭仲明,93-136,19930717,四川省,3500,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307998.jpg,,,,,,,,,, +云雾苔草,Carex nubigena,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1222,20021113,云南省,2480,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102131.jpg,,,,,,,,,, +刺囊苔草,Carex obscura var. brachycarpa,崔友文,5391,19510822,四川省,4700,高山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911454.jpg,,,,,,,,,, +刺囊苔草,Carex obscura var. brachycarpa,白水江考察队,389,20060628,甘肃省,2350~2400,沟边湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01823304.jpg,,,,,,,,,, +刺囊薹草,Carex obscura var. brachycarpa,蔡杰,张挺,刘成,郭永杰,张桥蓉,11CS3234,20110820,云南,3666,路边冷杉林缘石质山坡,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1397773.jpg,,,,,,,,,, +褐紫鳞苔草,Carex obscuriceps,北京所横断山队,2990,19810811,云南省,3880,高山沼泽中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804187.jpg,,,,,,,,,, +褐紫鳞薹草,Carex obscuriceps,杨光明,SCSB-W-1149,20080720,云南,,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397798.jpg,,,,,,,,,, +橄绿果苔草,Carex olivacea,青藏队,7023,19820528,云南省,2500~2700,山坡 Tsuga林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191391.jpg,,,,,,,,,, +榄绿果薹草,Carex olivacea,周子林,92621,19570812,四川省,0~2050,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0654210.jpg,,,,,,,,,, +榄绿果薹草,Carex olivacea,聂敏祥,1237,19570826,湖北省,0~2000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0654209.jpg,,,,,,,,,, +圆囊苔草,Carex orbicularis,青藏队,76-052,19760620,西藏自治区,4800~4900,沙砾质山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780227.jpg,,,,,,,,,, +圆囊苔草,Carex orbicularis,A.Koroleva,7177,19340903,,2900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01778697.jpg,,,,,,,,,, +圆囊苔草,Carex orbicularis,"汤宗孝,柏正强,任文夫",130,19930728,四川省,3500,沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607021.jpg,,,,,,,,,, +,Carex ovatispiculata,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1216,20021113,云南省,2480,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102136.jpg,,,,,,,,,, +,Carex ovatispiculata,曲桂龄,3037,19360630,四川省,,2500,,无花有果,https://image.cvh.ac.cn/files/l/PE/01862955.jpg,,,,,,,,,, +,Carex ovatispiculata,巴山采集队,972,20080709,重庆市,1280,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01860672.jpg,,,,,,,,,, +尖叶苔草,Carex oxyphylla,横断山队,245,19810601,云南省,2300~2400,常绿林缘路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853106.jpg,,,,,,,,,, +尖叶薹草,Carex oxyphylla,张珍万,2192,19630709,青海省,3370,,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0218858.jpg,,,,,,,,,, +尖叶薹草,Carex oxyphylla,西藏生物所植物组,146,19880725,西藏自治区,4900,高山灌丛草地,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0008808.jpg,,,,,,,,,, +帕米尔苔草,Carex pamirensis,"李渤生,郑度,张百平",11095,19870818,西藏自治区,4500,湖中沼泽,,无花有果,https://image.cvh.ac.cn/files/l/PE/01295828.jpg,,,,,,,,,, +帕米尔苔草,Carex pamirensis,秦仁昌,1384,19560806,新疆维吾尔自治区,2460,水中地中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031805.jpg,,,,,,,,,, +帕米尔苔草,Carex pamirensis,秦仁昌,1414,19560806,河北省,2400,"浅水,池边",,有花有果,https://image.cvh.ac.cn/files/l/PE/00031801.jpg,,,,,,,,,, +小苔草,Carex parva,,498,19640809,青海省,4200,阳坡,滑塌碎石处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082822.jpg,,,,,,,,,, +小苔草,Carex parva,"胡叔良,刘学忠",148-4,19560810,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851892.jpg,,,,,,,,,, +小苔草,Carex parva,"Stainton,Sykes & Williams",3235,19540624,,4667,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01707383.jpg,,,,,,,,,, +柄状苔草,Carex pediformis,秦仁昌,2064,19560816,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307944.jpg,,,,,,,,,, +柄状苔草,Carex pediformis,,155,19640621,青海省,4300,山地阴坡和高坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082832.jpg,,,,,,,,,, +柄状苔草,Carex pediformis,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",401,20130422,四川省,1624,路旁 山坡阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994306.jpg,,,,,,,,,, +大序苔草,Carex perakensis,"简名玮,崔祖锡,梁慧舟",44,20030813,台湾省,1460,"At trailside, on soil slope with abundant leaf litters and humus, semishaded,moist, occasional.",,有花无果,https://image.cvh.ac.cn/files/l/PE/02089908.jpg,,,,,,,,,, +大序苔草,Carex perakensis,,SCNG3401,20011200,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017272.jpg,,,,,,,,,, +大序苔草,Carex perakensis,H.T.Tsai,51638,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853058.jpg,,,,,,,,,, +硬毛薹草,Carex plectobasis,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20500,20200618,西藏,3781,荒坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507405.jpg,,,,,,,,,, +多果苔草,Carex pleistogyna,西藏中草药普查队,3361,19720615,西藏自治区,2500,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/31689.jpg,,,,,,,,,, +多果苔草,Carex pleistogyna,西大生物系,8091,19750630,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/74452.jpg,,,,,,,,,, +,Carex polycephala,汤宗孝,123,19810528,云南省,3100,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01681767.jpg,,,,,,,,,, +,Carex polycephala,Thomas J.Rawinski,9146,19890616,,73,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01662349.jpg,,,,,,,,,, +多雄苔草,Carex polymascula,郎楷永 李良千等,2639,19830802,四川省,4200,山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00030574.jpg,,,,,,,,,, +多雄薹草,Carex polymascula,高云东,黎怀成,郑臣臣,THP-KD-2346,20170714,四川,4300~4500,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255277.jpg,,,,,,,,,, +,Carex pomiensis,PE西藏队,PE6048,20170906,西藏自治区,2935,山谷林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01891509.jpg,,,,,,,,,, +,Carex pomiensis,青藏队,8981,19820806,云南省,2100,山坡 常绿阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191443.jpg,,,,,,,,,, +沙生薹草,Carex praeclara,陈家辉,庄会富,边巴扎西,YangYP-Q-2072,20090818,西藏,4546,高山草甸,河滩,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1397837.jpg,,,,,,,,,, +沙生薹草,Carex praeclara,陈家辉,刘亚辉,周妍,赵艳丽,吴志刚,熊力军,YangYP-Q-2263,20090921,四川,4630,高寒草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397838.jpg,,,,,,,,,, +帚状薹草,Carex praelonga,刘正宇,2022156,20020426,云南省,1566,杂木林下,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0022092.jpg,,,,,,,,,, +帚状薹草,Carex praelonga,刘翔,2067679,20060729,重庆市,840,山地杂木林下,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0022093.jpg,,,,,,,,,, +算延长苔草,Carex prolongata,汤宗孝,1696,19830811,四川省,3800,水沟中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00030448.jpg,,,,,,,,,, +,Carex prolongata,"Forrest, George",14361,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00386825.jpg,,,,,,,,,, +粉被苔草,Carex pruinosa,北京队,891836,19890423,广西壮族自治区,600,溪边石面,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017051.jpg,,,,,,,,,, +粉被苔草,Carex pruinosa,李际东,499,20040315,湖南省,300,山脚 红壤 光 中 湿度 中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645655.jpg,,,,,,,,,, +粉被苔草,Carex pruinosa,陇西山考察队,773,19910531,福建省,1280~1620,山脊 山坡 草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01549494.jpg,,,,,,,,,, +红棕薹草,Carex przewalskii,陈世龙,高庆波,张发起等,ChenSL0790,20090823,青海,4650,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397845.jpg,,,,,,,,,, +红棕薹草,Carex przewalskii,张珍万,2384,19630714,青海省,2920,,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0218883.jpg,,,,,,,,,, +红棕薹草,Carex przewalskii,何叶琪,4245,19590722,甘肃省,2800,山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0389756.jpg,,,,,,,,,, +无味苔草,Carex pseudofoetida,PE西藏考察队,7544,20180619,西藏自治区,4374,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333265.jpg,,,,,,,,,, +,Carex pulchra,青藏队,9440,19820822,云南省,1500,山坡 常绿阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191437.jpg,,,,,,,,,, +俊俏苔草,Carex pulchra,青藏补点组,1750603,19750715,西藏自治区,2710,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/96504.jpg,,,,,,,,,, +密穗薹草,Carex pycnostachya,徐文斌,马真等,SHI-A2007410,20070906,新疆,1820,草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397850.jpg,,,,,,,,,, +密穗薹草,Carex pycnostachya,,6480,58.08.10,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00053609.jpg,,,,,,,,,, +密穗薹草,Carex pycnostachya,,6480,580810,,2460,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20026787.jpg,,,,,,,,,, +青海薹草,Carex qinghaiensis,陈晓澄、肖洒等人,9816,20160809,青海省,4450,冲积扇草甸,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00017934.jpg,,,,,,,,,, +青海苔草,Carex qinghaiensis,郭本兆 王为义,20043,19770611,甘肃省,0,,草本,有花有果,https://image.cvh.ac.cn/files/l/HNWP/180785.jpg,,,,,,,,,, +黑穗薹草,Carex qinghaiensis,李帅等,20167462,20160725,西藏自治区,4341,草甸,草本,,https://image.cvh.ac.cn/files/l/BNU/0030985.jpg,,,,,,,,,, +,Carex radicalis,K.L.Chu,7748,19400817,四川省,,in pinus forest,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00534766.jpg,,,,,,,,,, +丝列苔草,Carex remotiuscula,"董洪进,赵飞",WM-0471,20160518,云南省,1900,路边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088815.jpg,,,,,,,,,, +丝列苔草,Carex remotiuscula,昌平队,169,20010504,北京市,400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02042264.jpg,,,,,,,,,, +丝列苔草,Carex remotiuscula,张树仁等,2061,20140617,四川省,1639~1800,山坡 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918993.jpg,,,,,,,,,, +日东苔草,Carex ridongensis,青藏队,10145,19820908,西藏自治区,4000,山坡灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01862965.jpg,,,,,,,,,, +日本苔草,Carex ridongensis,青藏队,10145,19820908,西藏,3500-4000,山坡灌丛草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0376117.jpg,,,,,,,,,, +,Carex rochebrunii,北京队,895090,19890525,广西壮族自治区,1000,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017047.jpg,,,,,,,,,, +,Carex rochebrunii,Taku Miyazaki,705285,20070526,,200~230,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01915233.jpg,,,,,,,,,, +书带苔,Carex rochebrunii,孙必兴,841,19730626,云南省,0~2400,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0653681.jpg,,,,,,,,,, +,Carex rubrobrunnea var. taliensis,,,19410427,江西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911457.jpg,,,,,,,,,, +大理薹草,Carex rubrobrunnea var. taliensis,田先华,TianXH1083,20140327,陕西省,1059,温带落叶阔叶林水沟边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1397875.jpg,,,,,,,,,, +大理薹草,Carex rubrobrunnea var. taliensis,齐威 ,LJQ-2008-GN-438,20080929,甘肃,1820,溪边草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397877.jpg,,,,,,,,,, +萨嘎苔草,Carex sagaensis,青藏队植被组,5862,19750816,西藏自治区,5000,沼泽草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01862967.jpg,,,,,,,,,, +藏北薹草,Carex satakeana,青藏队,76-7724,19760610,西藏自治区,3820,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/57980.jpg,,,,,,,,,, +藏北薹草,Carex satakeana,赵魁义,196,19790728,西藏,3900,沼地,,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0019238.jpg,,,,,,,,,, +糙喙苔草,Carex scabrirostris,,204,19640703,青海省,3700,山地阴坡疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082331.jpg,,,,,,,,,, +糙喙苔草,Carex scabrirostris,T.N.Liou et P.C.Tsong,2897,19310730,陕西省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853121.jpg,,,,,,,,,, +糙喙苔草,Carex scabrirostris,T.N.Liou,2916,19310730,新疆维吾尔自治区,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853120.jpg,,,,,,,,,, +川滇苔草,Carex schneideri,"关克俭,王文采等",579,19630730,四川省,3800~4300,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01896139.jpg,,,,,,,,,, +川滇苔草,Carex schneideri,陈谋,2898,19340900,云南省,1250,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00030630.jpg,,,,,,,,,, +蜈公苔草,Carex scolopendriformis,北京所横断山队,2677,19810805,云南省,2850,云南松林下,草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01862971.jpg,,,,,,,,,, +蜈公苔草,Carex scolopendriformis,T.T.Yu,5789,19370527,四川省,3500,under thickets,,有花有果,https://image.cvh.ac.cn/files/l/PE/01172853.jpg,,,,,,,,,, +蜈公苔草,Carex scolopendriformis,王启无,66393,19350900,西藏自治区,3000,Mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01172851.jpg,,,,,,,,,, +仙台苔草,Carex sendaica,植物所三峡考察队,17,20070915,重庆市,1310~1810,杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01824102.jpg,,,,,,,,,, +仙台苔草,Carex sendaica,K.Seto,880,19671016,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01707560.jpg,,,,,,,,,, +仙台薹草,Carex sendaica,杨一光,3046,19570902,湖南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0653565.jpg,,,,,,,,,, +紫喙苔草,Carex serreana,Chanet,469,19250714,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01842107.jpg,,,,,,,,,, +紫喙苔草,Carex serreana,D.Syreisczikov,s.n.,19100522,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01778854.jpg,,,,,,,,,, +紫喙苔草,Carex serreana,C.T.Li,2390,19320000,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031550.jpg,,,,,,,,,, +刺毛苔草,Carex setosa,张树仁等,2158,20140621,四川省,1901~2400,路边 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919034.jpg,,,,,,,,,, +刺毛苔草,Carex setosa,,8280,19600504,云南省,2460,阴坡阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01844457.jpg,,,,,,,,,, +准噶尔-西日黑,Carex songorica,关克俭,1169,19570706,新疆维吾尔自治区,0,,草,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0631584.jpg,,,,,,,,,, +准噶尔-西日黑,Carex songorica,,3803,19440624,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0653498.jpg,,,,,,,,,, +翠丽苔草,Carex speciosa,"王印政,彭华,邓德山等",4984,19981027,云南省,1100,山地 山坡 灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01486454.jpg,,,,,,,,,, +翠丽苔草,Carex speciosa,青藏队,13329,19830823,四川省,2500,山坡 杂木林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191542.jpg,,,,,,,,,, +细果苔草,Carex stenocarpa,"李渤生,郑度,张百明",10585,19870710,新疆维吾尔自治区,4300~4600,高山流水沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073156.jpg,,,,,,,,,, +,Carex stenophylla,黄河队,1077,19570628,山西省,1500~1800,阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060982.jpg,,,,,,,,,, +,Carex stenophylla,Lajos Richeter.,s.n.,19010500,,240,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02012970.jpg,,,,,,,,,, +柄果苔草,Carex stipitinux,植物所三峡考察队,554,20070918,重庆市,1400~1800,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01823095.jpg,,,,,,,,,, +柄果苔草,Carex stipitinux,覃海宁等,18351,20041209,陕西省,1150,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01802821.jpg,,,,,,,,,, +柄果苔草,Carex stipitinux,刘淼等,A160090,20060827,安徽省,900,生于林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01798152.jpg,,,,,,,,,, +,Carex subfilicinoides,,306,,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032705.jpg,,,,,,,,,, +近蕨薹草,Carex subfilicinoides,张桂才,1267,19890720,四川省,0~1700,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0652644.jpg,,,,,,,,,, +近蕨薹草,Carex subfilicinoides,王启无,64321,19350700,云南省 ,0~2300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0655364.jpg,,,,,,,,,, +亚柄苔草,Carex subpediformis,田景全,106,19590610,北京市,,草地阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092712.jpg,,,,,,,,,, +亚柄苔草,Carex subpediformis,云台山采集队,525,20090422,河南省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037924.jpg,,,,,,,,,, +亚柄苔草,Carex subpediformis,郭成勇,1505001-1,20040411,山东省,300,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645567.jpg,,,,,,,,,, +唐古拉苔草,Carex tangulashanensis,刘尚武,407,1965/5/15,青海,4400,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0261109.jpg,,,,,,,,,, +唐古拉薹草,Carex tangulashanensis,张盍曾,63505,19630726,青海省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0221307.jpg,,,,,,,,,, +唐古拉薹草,Carex tangulashanensis,青藏队 吴玉虎,870835,19870804,新疆维吾尔自治区,3500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/145389.jpg,,,,,,,,,, +,Carex tapinzensis,Dr. Heinr. Frh. v. Handel-Mazz,1188,1915/6/6,云南; YUNNAN,3100,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00018747.jpg,,,,,,,,,, +,Carex tapinzensis,胡君、李丽、吴宏蓉、唐双磊、薛金瑞、党喜军,SC-a-099-B25,20190722,贵州,2402,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262285.jpg,,,,,,,,,, +,Carex tapinzensis,胡君、李丽、吴宏蓉、唐双磊、薛金瑞、党喜军,SC-a-100-B37,20190723,云南,2331,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262286.jpg,,,,,,,,,, +打箭苔草,Carex tatsiensis,K.L.Cha,7399,19400715,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853071.jpg,,,,,,,,,, +打箭苔草,Carex tatsiensis,K.T.Fu,941,19370702,甘肃省,2500,in bushes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844824.jpg,,,,,,,,,, +长柱头苔草,Carex teinogyna,华南队,2064,19890929,广西壮族自治区,1350,山地、山路,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017274.jpg,,,,,,,,,, +长柱头苔草,Carex teinogyna,甘启良,1524,20060806,湖北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01953345.jpg,,,,,,,,,, +长柱头苔草,Carex teinogyna,J.Murata T.T.Chen et H.Takahashi,15478,19831020,,500~700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01707600.jpg,,,,,,,,,, +高节苔草,Carex thomsonii,红水河植物考察队,969,19890506,广西壮族自治区,300,江边沙滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017170.jpg,,,,,,,,,, +高节苔草,Carex thomsonii,刘正宇,182896,20080512,重庆市,220,江边沙地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01433613.jpg,,,,,,,,,, +高节薹草,Carex thomsonii,张志松,张永田,1825,19600420,贵州省,0~360,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0653266.jpg,,,,,,,,,, +新疏苔草,Carex turkestanica,秦仁昌,2642,19560903,新疆维吾尔自治区,,山地 路旁 水旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031612.jpg,,,,,,,,,, +新疏苔草,Carex turkestanica,新疆采集队,184,1978/6/2,新疆,2200,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0331620.jpg,,,,,,,,,, +乌苏里苔草,Carex ussuriensis,温带森林组,7月15日,19620621,吉林省,900,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091473.jpg,,,,,,,,,, +乌苏里苔草,Carex ussuriensis,傅坤俊,17379,19770613,陕西省,2400,山坡 林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01606888.jpg,,,,,,,,,, +乌苏里苔草,Carex ussuriensis,,2220,19320000,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031633.jpg,,,,,,,,,, +褐鳞苔草,Carex vulpinaris,陈晓澄等,7064,20140816,西藏自治区,4240,矮灌丛下,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00017314.jpg,,,,,,,,,, +玉龙苔草,Carex yulungshanensis,北京所横断山队,2091,19810728,云南省,4250,高山草甸中,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00030385.jpg,,,,,,,,,, +玉龙薹草,Carex yulungshanensis,蔡杰,张挺,刘成,郭永杰,张桥蓉,11CS3228,20110819,云南,3534,沟边石质山坡,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1397959.jpg,,,,,,,,,, +云岭苔草,Carex yunlingensis,青藏队,3600,19810719,云南省,3400,山谷水沟边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862944.jpg,,,,,,,,,, +云岭苔草,Carex yunlingensis,青藏队,3600,19810719,云南,3400,山谷水沟边林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0375780.jpg,,,,,,,,,, +玉树苔草,Carex yushuensis,不祥,689,19640818,青海省,4800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0221525.jpg,,,,,,,,,, +玉树苔草,Carex yushuensis,刘全儒,QH2014070,20140706,青海,3850,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0050005.jpg,,,,,,,,,, +泽库薹草,Carex zekogensis,尹鑫,吴航,葛文静,LiuJQ-GN-2011-161,20111004,甘肃,3738,高寒草甸坡地,多年生直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397961.jpg,,,,,,,,,, +泽库薹草,Carex zekogensis,杨永昌,204,19640703,青海省,3700,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/170537.jpg,,,,,,,,,, +泽库苔草,Carex zekogensis,尹鑫、吴航、葛文静,LiuJQ-161,20111004,甘肃省,0~3738,高寒草甸坡地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0281435.jpg,,,,,,,,,, +假虎刺,Carissa spinarum,,5606,19641019,云南省,500,干热荒茅坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648188.jpg,,,,,,,,,, +假虎刺,Carissa spinarum,S.Malcomber et al.,1629,19920922,,600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01435290.jpg,,,,,,,,,, +,Carlemannia tetragona,周仕顺,6310,20090625,云南省,1000,沟谷箐边热带雨林中水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233627.jpg,,,,,,,,,, +,Carlemannia tetragona,青藏队植被组,2922,19740831,西藏自治区,1800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803941.jpg,,,,,,,,,, +天名精,Carpesium abrotanoides,"朱大海,王永,尚涛",1722,20030920,四川省,1000,山坡下部林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115848.jpg,,,,,,,,,, +天名精,Carpesium abrotanoides,"刘正宇,张军等",RQHZ06155,20150907,重庆市,520,黄壤 草丛 荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115301.jpg,,,,,,,,,, +烟管头草,Carpesium cernuum,张彩飞,3036,20110928,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247412.jpg,,,,,,,,,, +烟管头草,Carpesium cernuum,"陈又生,毕延超",11-052,20110725,四川省,2466,路边草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110942.jpg,,,,,,,,,, +烟管头草,Carpesium cernuum,中阳甲队,415,19550726,山西省,1900,林下路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094562.jpg,,,,,,,,,, +心叶天名精,Carpesium cordatum,"金效华,陈又生,李宏庆等",1185,20080710,云南省,3500,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053225.jpg,,,,,,,,,, +心叶天名精,Carpesium cordatum,陈又生等,715,20111118,西藏自治区,2855,山谷 竹林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909819.jpg,,,,,,,,,, +心叶天名精,Carpesium cordatum,D.E.Boufford et al.,32905,20050713,四川省,2650~2720,open places in gravelly clay soil near stream.,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882433.jpg,,,,,,,,,, +矮天名精,Carpesium humile,"李渤生,程树志,倪志诚",6308,19830809,西藏自治区,3400,林内草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01588386.jpg,,,,,,,,,, +矮天名精,Carpesium humile,植被调查队,3805,19730807,四川省,4100,灌丛木林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01588382.jpg,,,,,,,,,, +矮天名精,Carpesium humile,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01588383.jpg,,,,,,,,,, +高原天名精,Carpesium lipskyi,康藏植物考察队,10-0676,20100725,四川省,2983,山谷灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052561.jpg,,,,,,,,,, +高原天名精,Carpesium lipskyi,康藏植物考察队,10-1086,20100801,青海省,3657,山谷溪边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052536.jpg,,,,,,,,,, +,Carpesium minus,袁明,YUANM2015L060,20151112,四川,313,荒地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1458883.jpg,,,,,,,,,, +细川氏天名精,Carpesium minus,王作宾,8932,1938/8/23,四川省,1100,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0418125.jpg,,,,,,,,,, +细川氏天名精,Carpesium minus,张志英,10509,1959/9/1,甘肃省,600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0371739.jpg,,,,,,,,,, +尼泊尔天名精,Carpesium nepalense var. nepalense,钟山县普查队,451122180907023LY,20180907,广西,609,其他、路旁、黄棕壤,草本,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0212163.jpg,,,,,,,,,, +葶茎天名精,Carpesium scapiforme,PE西藏队,PE6806,20170917,西藏自治区,3971,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333995.jpg,,,,,,,,,, +葶茎天名精,Carpesium scapiforme,康藏植物考察队,10-0027,20100718,云南省,3772,林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053208.jpg,,,,,,,,,, +,Carpesium tracheliifolium,康藏植物考察队,10-2786,20100825,云南省,2962,山沟林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052535.jpg,,,,,,,,,, +,Carpesium tracheliifolium,,2715,19200816,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030001.jpg,,,,,,,,,, +粗齿天名精,Carpesium tracheliifolium,莽山科考队,ms1532,20200816,湖南,850~1200,山谷密林,直立草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI072245.jpg,,,,,,,,,, +暗花金挖耳,Carpesium triste,陈又生,8107,20080823,陕西省,2000,Grassy slope in valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113479.jpg,,,,,,,,,, +暗花金挖耳,Carpesium triste,陈又生,8170,20080918,四川省,2700,Grassy slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113575.jpg,,,,,,,,,, +暗花金挖耳,Carpesium triste,"Nam,Chun-Hei,Byeon,Jun-Gi etc.",N120404,20120823,,817,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091034.jpg,,,,,,,,,, +绒毛天名精,Carpesium velutinum,D.E.Boufford et al.,37940,20070723,四川省,2880~2920,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912989.jpg,,,,,,,,,, +毛叶千金榆,Carpinus cordata var. mollis,巴山采集队,5379,20110711,四川省,1520,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873041.jpg,,,,,,,,,, +毛叶千金榆,Carpinus cordata var. mollis,D.E.Boufford et al.,37678,20070516,甘肃省,2000~2230,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814617.jpg,,,,,,,,,, +川陕鹅耳枥,Carpinus fargesiana,C.S.Chang et al.,SI1149,20100704,四川省,1691,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900430.jpg,,,,,,,,,, +川陕鹅耳枥,Carpinus fargesiana,赵常明,EX1346,20070922,湖北省,1200,阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01788922.jpg,,,,,,,,,, +川陕鹅耳枥,Carpinus fargesiana,刘淼等,A50133,20050619,安徽省,800,生于林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01187918.jpg,,,,,,,,,, +云南鹅耳枥,Carpinus monbeigiana,T.N. Liou ,13225,19450527,云南省,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900463.jpg,,,,,,,,,, +云南鹅耳枥,Carpinus monbeigiana,"李渤生,程树志",5240,19830624,西藏自治区,1500,常绿阔叶林中时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491987.jpg,,,,,,,,,, +多脉鹅耳枥,Carpinus polyneura,巴山采集队,5354,20110711,四川省,1500,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873054.jpg,,,,,,,,,, +多脉鹅耳枥,Carpinus polyneura,谭策铭,95483,19950709,江西省,850,山谷阔叶林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815964.jpg,,,,,,,,,, +多脉鹅耳枥,Carpinus polyneura,白水江采集队,4350,20070506,甘肃省,,山坡杂木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01812684.jpg,,,,,,,,,, +贡山鹅耳枥,Carpinus viminea var. chiukiangensis,T.T.Yu,19531,19380731,云南省,1950,Among woods,tree,无花有果,https://image.cvh.ac.cn/files/l/PE/00802369.jpg,,,,,,,,,, +贡山鹅耳枥,Carpinus viminea var. chiukiangensis,"张永田,郞楷永",3490,19660515,西藏自治区,2200~2400,山坡 常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00802359.jpg,,,,,,,,,, +,Carpinus viminea var. viminea,倪志诚等,513,19800708,西藏自治区,1500,河谷 杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00802357.jpg,,,,,,,,,, +,Carpinus viminea var. viminea,俞德俊,17770,19380929,云南省,2400,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00802336.jpg,,,,,,,,,, +,Carpinus viminea var. viminea,R.C.Ching,5994,19270000,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00802324.jpg,,,,,,,,,, +田葛缕子,Carum buriaticum,石硕,SZ3582,20140716,河北省,1760,林下草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031815.jpg,,,,,,,,,, +田葛缕子,Carum buriaticum,罗建等,LuoJian-ML107,20090930,西藏自治区,3090,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923843.jpg,,,,,,,,,, +田葛缕子,Carum buriaticum,覃海宁等,18444,20041213,陕西省,800,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01802733.jpg,,,,,,,,,, +葛缕子,Carum carvi,PE西藏考察队,7371,20180616,西藏自治区,3934,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333956.jpg,,,,,,,,,, +葛缕子,Carum carvi,赤峰采集队,2-083,20080728,内蒙古自治区,1588,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02012291.jpg,,,,,,,,,, +葛缕子,Carum carvi,泛喜马拉雅植物志巴基斯坦采集队,FPH-0813,20120624,,2575,riverside,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004902.jpg,,,,,,,,,, +越南山核桃,Carya tonkinensis,北京队,896954,19890909,广西壮族自治区,950,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984061.jpg,,,,,,,,,, +越南山核桃,Carya tonkinensis,T.T.Yu,17683,19380925,云南省,1300,Among forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00980630.jpg,,,,,,,,,, +莸,Caryopteris divaricata,荔波队,1976,19590915,贵州省,,路旁潮湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244019.jpg,,,,,,,,,, +莸,Caryopteris divaricata,FLPH Tibet Expedition,12-1109,,西藏自治区,,河谷灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244018.jpg,,,,,,,,,, +莸,Caryopteris divaricata,植物所三峡考察队,1407,20080510,重庆市,760~790,沟谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244016.jpg,,,,,,,,,, +灰毛莸,Caryopteris forrestii var. forrestii,弥渡普查队,5329250512,20120717,云南省,1600,,灌木,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0021286.jpg,,,,,,,,,, +灰毛莸,Caryopteris forrestii var. forrestii,刘琳、谢爱芳、李磊、王善培,LDHF-027,20090719,云南省 ,1954,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000412.jpg,,,,,,,,,, +小叶灰毛莸,Caryopteris forrestii var. minor,D.E.Boufford et al.,41164,20090726,西藏自治区,3210~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913521.jpg,,,,,,,,,, +小叶灰毛莸,Caryopteris forrestii var. minor,T.T.Yu,13318,19370912,四川省,2600,mt slope open place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01265456.jpg,,,,,,,,,, +小叶灰毛莸,Caryopteris forrestii var. minor,T.T.Yu,7970,19371112,云南省,2000,mt.slop open sunny place,,无花有果,https://image.cvh.ac.cn/files/l/PE/01265455.jpg,,,,,,,,,, +蒙古莸,Caryopteris mongholica,,1442,19640809,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244059.jpg,,,,,,,,,, +蒙古莸,Caryopteris mongholica,李沛琼,129,19860923,四川省,2100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244058.jpg,,,,,,,,,, +蒙古莸,Caryopteris mongholica,"刘中民,吴佐旗",2249-364,19630600,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244056.jpg,,,,,,,,,, +腺毛莸,Caryopteris siccanea,George Forrest,24644,19240000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01265712.jpg,,,,,,,,,, +,Caryopteris siccanea,"Forrest, George",12746,14-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00036539.jpg,,,,,,,,,, +光果莸,Caryopteris tangutica,"Zhu,Chen,Xu,Wang",1832,19990728,陕西省,600,dry slopes,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244060.jpg,,,,,,,,,, +光果莸,Caryopteris tangutica,D.E.boufford B.Bartholomew D.A.Eaton et al,41473,20090730,西藏自治区,3815,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101864.jpg,,,,,,,,,, +光果莸,Caryopteris tangutica,"李良千,王忠涛,杜玉芬,卫然",123,20110904,甘肃省,1250~1320,山谷林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01914285.jpg,,,,,,,,,, +三花莸,Caryopteris terniflora,刘正宇,180690,20070930,重庆市,190,溪边 路旁 岩石缝中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244213.jpg,,,,,,,,,, +三花莸,Caryopteris terniflora,安顺队,588,19590810,贵州省,1500,山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244211.jpg,,,,,,,,,, +毛球莸,Caryopteris trichosphaera,青藏队植被组,9463,19760803,西藏自治区,3680,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803183.jpg,,,,,,,,,, +毛球莸,Caryopteris trichosphaera,,748,19640826,青海省,3800,阳坡 草原,,无花无果,https://image.cvh.ac.cn/files/l/PE/01532884.jpg,,,,,,,,,, +,Caryota obtusa,"李渤生,程树志",1684,19821106,西藏自治区,890,半常绿雨林常见乔木,,无花无果,https://image.cvh.ac.cn/files/l/PE/02098162.jpg,,,,,,,,,, +董棕,Caryota obtusa,刘成、何华杰、黄莉、杨忠兰,14CS8578,20141111,云南,1264,村旁路边,乔木,,https://image.cvh.ac.cn/files/l/KUN/1393490.jpg,,,,,,,,,, +球花脚骨脆,Casearia glomerata,C.O.Levine,398,19170226,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02111714.jpg,,,,,,,,,, +球花脚骨脆,Casearia glomerata,,s.n.,,广西壮族自治区,,湖润杉林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805403.jpg,,,,,,,,,, +球花脚骨脆,Casearia glomerata,,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01599021.jpg,,,,,,,,,, +短梗岩须,Cassiope abbreviata,"D.E. Boufford,K.Fujikawa,S.L.Kelley et al.",39672,20070815,四川省,3900~4150,Under shrubs of Rhododendron on slope,,,https://image.cvh.ac.cn/files/l/PE/02053784.jpg,,,,,,,,,, +短梗岩须,Cassiope abbreviata,李馨,77720,19580613,重庆市,4200,山脊杜鹃林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00194142.jpg,,,,,,,,,, +银毛岩须,Cassiope argyrotricha,武素功,8800,19640912,云南省,4400,山坡岩石缝,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0000081.jpg,,,,,,,,,, +银毛岩须,Cassiope argyrotricha,武素功,8829,19640913,云南,4150,山坡杜鹃灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1209088.jpg,,,,,,,,,, +扫帚岩须,Cassiope fastigiata,PE西藏考察队,7633,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333960.jpg,,,,,,,,,, +扫帚岩须,Cassiope fastigiata,泛喜马拉雅植物志巴基斯坦采集队,FPH-0769,20120624,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005365.jpg,,,,,,,,,, +鼠尾岩须,Cassiope myosuroides,汤宗孝,808,19810806,云南省,3850,岩石旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01856160.jpg,,,,,,,,,, +鼠尾岩须,Cassiope myosuroides,G. Forrest,26827,19240000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00438469.jpg,,,,,,,,,, +矮小岩须,Cassiope nana,王启无,64712,19350700,云南省,2200,border of wood,,有花无果,https://image.cvh.ac.cn/files/l/PE/00194247.jpg,,,,,,,,,, +矮小锦绦花,Cassiope nana,方震东、和光、史效武、海仙,G-212,20051006,云南,4470,高山灌木丛,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008327.jpg,,,,,,,,,, +,Cassiope nana,C. W. Wang,68843,Aug-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00055732.jpg,,,,,,,,,, +朝天岩须,Cassiope palpebrata,汤宗孝,881,19810815,云南省,4300,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01856161.jpg,,,,,,,,,, +朝天岩须,Cassiope palpebrata,J.Rock,16962,19280500,四川省,4150,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0434731.jpg,,,,,,,,,, +朝天岩须,Cassiope palpebrata,F.Rock,21934,19320500,西藏自治区,4575,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0434732.jpg,,,,,,,,,, +篦叶岩须,Cassiope pectinata,G. Forrest,10440,19130700,云南省,4000,open stony pasture on the mountains,,有花无果,https://image.cvh.ac.cn/files/l/PE/00194238.jpg,,,,,,,,,, +篦叶岩须,Cassiope pectinata,J.Rock,22173,19320500,四川省,4270,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0434735.jpg,,,,,,,,,, +篦叶岩须,Cassiope pectinata,,23525,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0434733.jpg,,,,,,,,,, +岩须,Cassiope selaginoides,PE西藏队,PE5800,20170903,西藏自治区,3401,岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333444.jpg,,,,,,,,,, +岩须,Cassiope selaginoides,"于胜祥,侯元同,张晓霞,赵以民",5015,20110807,四川省,,沿途路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02106791.jpg,,,,,,,,,, +长毛岩须,Cassiope wardii,周仕顺,5881,20090518,云南省,3900,山坡冷杉杜鹃林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/02106789.jpg,,,,,,,,,, +长毛岩须,Cassiope wardii,藏东南考察队 金效华等,SET-ET 824,20090827,西藏自治区,4223,alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02106786.jpg,,,,,,,,,, +栗,Castanea mollissima,Bin-Bin liu,3994,20180728,北京市,,broadleaved deciduous forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/02234015.jpg,,,,,,,,,, +栗,Castanea mollissima,"川西队,关克俭,王文采等",3497,19630917,四川省,850,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092102.jpg,,,,,,,,,, +栗,Castanea mollissima,北京所横断山队,1917,19810724,云南省,1830~1850,金沙江南岸干热河谷灌丛时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046088.jpg,,,,,,,,,, +高山锥,Castanopsis delavayi,赵魁义,521,19810723,云南省,1915,河谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/02098077.jpg,,,,,,,,,, +高山锥,Castanopsis delavayi,"陈伟烈,陈家瑞,郭柯等",5400,19840521,四川省,2100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02041673.jpg,,,,,,,,,, +,Castanopsis echinocarpa,,s.n.,19730900,广西壮族自治区,900,砾质岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984229.jpg,,,,,,,,,, +,Castanopsis echinocarpa,陶国达,40150,19910125,云南省,0~1300,坡地、林中、干燥,乔木,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0734538.jpg,,,,,,,,,, +短刺锥,Castanopsis echinocarpa,刘恩德,LED9559,20200403,云南,,麦地村委会舒家至山头小组,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1495150.jpg,,,,,,,,,, +红锥,Castanopsis hystrix,"李渤生,李辉",14102,19901009,西藏自治区,2000~2400,常绿阔叶林中常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/02084053.jpg,,,,,,,,,, +红锥,Castanopsis hystrix,湖南队,540,19530809,湖南省,,山坡,疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02072115.jpg,,,,,,,,,, +红锥,Castanopsis hystrix,"张志耘,谢磊,张强",2015-153,20150504,广西壮族自治区,530~860,valley road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066734.jpg,,,,,,,,,, +印度锥,Castanopsis indica,中苏队,9560,19570428,云南省,1300,疏林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079096.jpg,,,,,,,,,, +印度锥,Castanopsis indica,广西调查队,3093,19530802,广西壮族自治区,300~500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984312.jpg,,,,,,,,,, +,Castanopsis longispina,"李渤生,程树志",3808,19830324,西藏自治区,710,江边林中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491419.jpg,,,,,,,,,, +元红锥,Castanopsis orthacantha,红水河植物考察队,2091,19890613,云南省,2200,松栎-杜鹃灌丛中沟谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984565.jpg,,,,,,,,,, +元红锥,Castanopsis orthacantha,曹子余,863,19581006,贵州省,800,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01569785.jpg,,,,,,,,,, +,Castanopsis rockii,绿春队,868,19740515,云南省,1700,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801852.jpg,,,,,,,,,, +,Castanopsis rockii,J. F. Rock,7229,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00033839.jpg,,,,,,,,,, +龙陵锥,Castanopsis rockii,李建强,陈丽,张景博,2051,20081009,云南,1800,林中 山坡 疏林 少见,大乔木,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0139124.jpg,,,,,,,,,, +蒺藜锥,Castanopsis tribuloides,,s.n.,19830707,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491438.jpg,,,,,,,,,, +蒺藜锥,Castanopsis tribuloides,George Forrest,11830,19130500,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00273679.jpg,,,,,,,,,, +蒺藜锥,Castanopsis tribuloides,"F.A.McClure,L.U",784,19290822,海南省,0,Cleared mt.land-ravine,,有花无果,https://image.cvh.ac.cn/files/l/PE/00273676.jpg,,,,,,,,,, +,Castanopsis wattii,覃海宁等,18737,20050427,江西省,80,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01842776.jpg,,,,,,,,,, +,Castanopsis wattii,S.K.WU et al.,63,19951016,云南省,1900~2500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01842774.jpg,,,,,,,,,, +,Castanopsis wattii,,L578,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01658679.jpg,,,,,,,,,, +,Catabrosa capusii,杨竞生,91-786,19910801,西藏自治区,,当卡草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00402814.jpg,,,,,,,,,, +长颖沿沟草,Catabrosa capusii,王生新,266,19650520,青海省,2220,水沟边,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00517039.jpg,,,,,,,,,, +藏楸,Catalpa tibetica,冯瑞清,20717,19390615,云南省,0,,乔木 ,有花无果,https://image.cvh.ac.cn/files/l/KUN/0209714.jpg,,,,,,,,,, +,Catalpa tibetica,"Forrest, G.",18950,,,,,,,https://image.cvh.ac.cn/files/l/P/P00689480.jpg,,,,,,,,,, +,Caulokaempferia yunnanensis,高信芬等,3935,20020925,四川省,1300,坡地林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01790376.jpg,,,,,,,,,, +,Caulokaempferia yunnanensis,李延辉等,2015,19880920,云南省,2170,路边灌丛中,,,https://image.cvh.ac.cn/files/l/KUN/1268304.jpg,,,,,,,,,, +大苞姜,Caulokaempferia yunnanensis,胡光万,HGW-00373,20090726,云南,1896,山地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390982.jpg,,,,,,,,,, +红毛七,Caulophyllum robustum,"董洪进,赵飞",WM-0512,20160519,云南省,1700,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090433.jpg,,,,,,,,,, +红毛七,Caulophyllum robustum,"石硕,梁文达",SZ4206,20141005,河北省,1547,林下草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043183.jpg,,,,,,,,,, +红毛七,Caulophyllum robustum,郑宝江等,90112,20090503,湖北省,1700,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989342.jpg,,,,,,,,,, +葶菊,Cavea tanguensis,青藏队植被组,7684,19750902,西藏自治区,4700~4800,冰碛丘陵上 水边砾石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077099.jpg,,,,,,,,,, +葶菊,Cavea tanguensis,陈又生,9646,20090828,四川省,4557,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909700.jpg,,,,,,,,,, +短柄乌蔹莓,Cayratia cardiospermoides,秦仁昌,23329,19290721,云南省,,草坝山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00686400.jpg,,,,,,,,,, +,Cayratia cardiospermoides,胡君、王东超、李丽、唐露,SC-a-064-B12,20180702,云南,,高山栎群落中,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609091.jpg,,,,,,,,,, +,Cayratia japonica var. mollis,刘飞,1391,20050801,广西壮族自治区,700,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01611950.jpg,,,,,,,,,, +,Cayratia japonica var. mollis,植物研究所昆明工作站,6412,19551003,云南省,1000,疏林中潮湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/00686959.jpg,,,,,,,,,, +苦皮藤,Celastrus angulatus,"赵常明,葛结林,罗璐",EX1752,20080811,湖北省,1350,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02028478.jpg,,,,,,,,,, +苦皮藤,Celastrus angulatus,三峡考察队,2514,20080724,重庆市,1540~985,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02028471.jpg,,,,,,,,,, +大芽南蛇藤,Celastrus gemmatus,"Li Heng,Yang Shixiong,Lei Ligong et Ji Yunheng",1549,20030417,云南省,2590,常绿阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100844.jpg,,,,,,,,,, +大芽南蛇藤,Celastrus gemmatus,"川西队,关克俭,王文采等",2712,19630826,四川省,1400,山谷林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092123.jpg,,,,,,,,,, +大芽南蛇藤,Celastrus gemmatus,巴山采集队,2547,20080726,重庆市,1870,山谷杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02028519.jpg,,,,,,,,,, +,Celastrus glaucophyllus var. rugosus,"李渤生,程树志",928,19820915,西藏自治区,2200~2400,常绿阔叶林中主要藤本,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077441.jpg,,,,,,,,,, +,Celastrus glaucophyllus var. rugosus,四川大学生物系,117230,19830601,四川省,1250,土坡上,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1253093.jpg,,,,,,,,,, +青江藤,Celastrus hindsii,Joseph P.W.Woo & T.K.Woo,800,19721105,香港,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02063606.jpg,,,,,,,,,, +青江藤,Celastrus hindsii,巴山采集队,6192,20120708,四川省,700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059991.jpg,,,,,,,,,, +青江藤,Celastrus hindsii,广西队,760,19530600,广西壮族自治区,,半山沟旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02028541.jpg,,,,,,,,,, +硬毛南蛇藤,Celastrus hirsutus,青藏队,8139,19820718,云南省,1900~2000,山坡常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01910193.jpg,,,,,,,,,, +硬毛南蛇藤,Celastrus hirsutus,川经凉 59 字,3187,19590522,四川省,2400,荒山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01910182.jpg,,,,,,,,,, +滇边南蛇藤,Celastrus hookeri,75西藏队,72号,19751102,西藏自治区,2750,山坡路旁阳处疏林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092425.jpg,,,,,,,,,, +滇边南蛇藤,Celastrus hookeri,林秦文,2013-193,20130601,云南省,1750~2300,峡谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040649.jpg,,,,,,,,,, +滇边南蛇藤,Celastrus hookeri,黔南队,3033,19590730,贵州省,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01296755.jpg,,,,,,,,,, +独子藤,Celastrus monospermus,周仕顺,5505,20090510,云南省,1000,河边热带雨林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028486.jpg,,,,,,,,,, +独子藤,Celastrus monospermus,"张寿洲,李良千等",3435,20050717,广东省,100~200,疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02028482.jpg,,,,,,,,,, +独子藤,Celastrus monospermus,北京队,895377,19890531,广西壮族自治区,400,水边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02028483.jpg,,,,,,,,,, +灯油藤,Celastrus paniculatus,中苏队,8027,19570420,云南省,1400,阴处沟底斜坡疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100890.jpg,,,,,,,,,, +灯油藤,Celastrus paniculatus,F.H.W.Kerr,2214,19530420,,610,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01910610.jpg,,,,,,,,,, +宽叶短梗南蛇藤,Celastrus rosthornianus var. loeseneri,覃德海等,79920,19861111,广西壮族自治区,1200,山坡 少见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01998908.jpg,,,,,,,,,, +宽叶短梗南蛇藤,Celastrus rosthornianus var. loeseneri,中越考察队,222,19641209,,1600,石灰岩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01700419.jpg,,,,,,,,,, +宽叶短梗南蛇藤,Celastrus rosthornianus var. loeseneri,白龙江考察队,20,19980716,甘肃省,1550,山地 山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01560657.jpg,,,,,,,,,, +短梗南蛇藤,Celastrus rosthornianus var. rosthornianus,王启无,68293,,云南省 ,0,,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0128740.jpg,,,,,,,,,, +短梗南蛇藤,Celastrus rosthornianus var. rosthornianus,武素功,97,19590428,四川省,2250,山箐脚疏林溪边,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0128764.jpg,,,,,,,,,, +短梗南蛇藤,Celastrus rosthornianus var. rosthornianus,冯国楣,3596,19400502,云南省,2200,山坡上,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0128738.jpg,,,,,,,,,, +显柱南蛇藤,Celastrus stylosus,张彩飞,2775,20110604,湖南省,1000~800,山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247392.jpg,,,,,,,,,, +显柱南蛇藤,Celastrus stylosus,"刘恩德,方伟 ,徐洲锋等",4307,20150628,云南省,2350,山坡路边林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02111818.jpg,,,,,,,,,, +显柱南蛇藤,Celastrus stylosus,刘正宇,182336,20080425,重庆市,1500,路旁灌丛上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028452.jpg,,,,,,,,,, +长序南蛇藤,Celastrus vaniotii,红水河植物考察队,532,19890425,广西壮族自治区,1100,沟谷常绿林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998890.jpg,,,,,,,,,, +长序南蛇藤,Celastrus vaniotii,税玉民,3063,19930725,云南省,2420,山沟密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01910453.jpg,,,,,,,,,, +长序南蛇藤,Celastrus vaniotii,徐洪贵,6072,19950721,四川省,2700,岩坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01910452.jpg,,,,,,,,,, +紫弹树,Celtis biondii,巴山采集队,6175,20120708,四川省,700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059310.jpg,,,,,,,,,, +紫弹树,Celtis biondii,邓云飞等,15328,20001006,广西壮族自治区,950,山地路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984601.jpg,,,,,,,,,, +紫弹树,Celtis biondii,覃海宁等,18724,20050429,江西省,71,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01962289.jpg,,,,,,,,,, +黑弹树(小叶朴),Celtis bungeana,周口店考察队,264,20091020,北京市,159,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112120.jpg,,,,,,,,,, +黑弹树(小叶朴),Celtis bungeana,孔冬梅,K0179,20140706,山西省,881,阴坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02031282.jpg,,,,,,,,,, +黑弹树(小叶朴),Celtis bungeana,万涛等,FSB-710,20130709,四川省,,沿路,,无花无果,https://image.cvh.ac.cn/files/l/PE/01994027.jpg,,,,,,,,,, +小果朴,Celtis cerasifera,"李渤生,倪志诚,程树志",6985,19830829,西藏自治区,1400~1500,河谷侧坡时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074490.jpg,,,,,,,,,, +小果朴,Celtis cerasifera,,4394,19880629,湖北省,1400,沟旁林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802382.jpg,,,,,,,,,, +小果朴,Celtis cerasifera,荔波队,7277,19590813,贵州省,950,"阳处,路旁",,无花无果,https://image.cvh.ac.cn/files/l/PE/00867219.jpg,,,,,,,,,, +珊瑚朴,Celtis julianae,"张树仁,陈淑荣,朗校安等",1783,20140612,四川省,1117,山坡 林下 沙土,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021028.jpg,,,,,,,,,, +珊瑚朴,Celtis julianae,白水江采集队,3318,20070421,甘肃省,2600~870,竹园沟沟谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01812714.jpg,,,,,,,,,, +珊瑚朴,Celtis julianae,植物所三峡考察队,438,20070916,重庆市,1500~2040,干涸的沟谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01788874.jpg,,,,,,,,,, +四蕊朴,Celtis tetrandra,林秦文,2013-056,20130528,云南省,1600~1750,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039576.jpg,,,,,,,,,, +四蕊朴,Celtis tetrandra,"李渤生,程树志",2247,19821219,西藏自治区,1650~1700,林边时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810861.jpg,,,,,,,,,, +四蕊朴,Celtis tetrandra,中越考察队,1280,19650110,,180,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01695647.jpg,,,,,,,,,, +假玉桂,Celtis timorensis,"赵常明,葛结林,李支",EX2963,20090808,湖北省,900,阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01868082.jpg,,,,,,,,,, +假玉桂,Celtis timorensis,"张寿洲,李良千等",2359,20050609,广东省,350~400,水沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01587291.jpg,,,,,,,,,, +假玉桂,Celtis timorensis,Shiu Ying Hu,11410,19720114,香港,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00676586.jpg,,,,,,,,,, +白金花,Centaurium pulchellum var. altaicum,高天刚,786,19980119,云南省,850,水田中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02103248.jpg,,,,,,,,,, +白金花,Centaurium pulchellum var. altaicum,两广队,165,19851020,广东省,50,山谷溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02103245.jpg,,,,,,,,,, +白金花,Centaurium pulchellum var. altaicum,Sotiaux P.,BR-S.P.0832002,19741027,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02103244.jpg,,,,,,,,,, +,Centaurium spicatum,"李安仁,朱家楠",5554,19580607,新疆维吾尔自治区,90,荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02103205.jpg,,,,,,,,,, +,Centaurium spicatum,I.Morariu,3083,19660809,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531551.jpg,,,,,,,,,, +,Centaurium spicatum,Simada Hidetaro,1217,19370000,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531549.jpg,,,,,,,,,, +积雪草,Centella asiatica,236 四川任务组,486,19710727,四川省,1000,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084856.jpg,,,,,,,,,, +积雪草,Centella asiatica,红水河植物考察队,422,19890509,广西壮族自治区,800,山地山谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01991776.jpg,,,,,,,,,, +积雪草,Centella asiatica,M Mikage et al.,9470560,19940826,,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01959860.jpg,,,,,,,,,, +石胡荽,Centipeda minima,"张彩飞,穆光丽",3117,20111028,北京市,70,略阴湿草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247410.jpg,,,,,,,,,, +石胡荽,Centipeda minima,段林东,20020612,20030814,湖南省,300,丘陵山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235706.jpg,,,,,,,,,, +石胡荽,Centipeda minima,Shiu Ying Hu,10007,19700425,香港,,in dried ricefield,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233646.jpg,,,,,,,,,, +假淡竹葉,Centotheca lappacea,周仕顺,874,20030504,云南省,,山坡林窗下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01905372.jpg,,,,,,,,,, +假淡竹葉,Centotheca lappacea,Ming-Jer Jung,3681,20090113,台湾省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01896527.jpg,,,,,,,,,, +假淡竹葉,Centotheca lappacea,王功范,1-0870,20030930,贵州省,750,阴面山坡草丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01787385.jpg,,,,,,,,,, +大花胡麻草,Centranthera grandiflora,北京队,896274,19890906,广西壮族自治区,600,公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010018.jpg,,,,,,,,,, +大花胡麻草,Centranthera grandiflora,S.Noshiro et al.,9830010,19980813,,1460,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01474277.jpg,,,,,,,,,, +大花胡麻草,Centranthera grandiflora,科考队,1687,19740808,西藏自治区,860,常绿阔叶林林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01373504.jpg,,,,,,,,,, +硕距头蕊兰,Cephalanthera calcarata,金效华,6415,20040400,云南省,2600,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01825087.jpg,,,,,,,,,, +硕距头蕊兰,Cephalanthera calcarata,秦仁昌,22569,19400507,云南,,杂木林内山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1218489.jpg,,,,,,,,,, +银兰,Cephalanthera erecta,攀枝花苏铁考察队(杨永等),227,20100711,四川省,2198,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033551.jpg,,,,,,,,,, +银兰,Cephalanthera erecta,弥勒县植物资源调查组,467,19900602,云南省,2000,黑色石灰土林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032903.jpg,,,,,,,,,, +银兰,Cephalanthera erecta,刘俊杰,207,19730624,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911434.jpg,,,,,,,,,, +金兰,Cephalanthera falcata,赵鑫磊,,20130526,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230334.jpg,,,,,,,,,, +金兰,Cephalanthera falcata,HK kadoorie PT,3494,20020500,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097133.jpg,,,,,,,,,, +金兰,Cephalanthera falcata,,448,19830817,河南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033007.jpg,,,,,,,,,, +头蕊兰,Cephalanthera longifolia,"张永田,郎楷永",1302,19650804,西藏自治区,3100,灌丛下草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230251.jpg,,,,,,,,,, +头蕊兰,Cephalanthera longifolia,周仕顺,6186,20090526,云南省,3300,山坡高山松黄背栎混交林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033536.jpg,,,,,,,,,, +,Cephalostachyum latifolium,"李渤生,程树志",4260,19830422,西藏自治区,1700~2200,林中常见藤状灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01645117.jpg,,,,,,,,,, +,Cephalostachyum latifolium,张玉霄,许宇星,周梦媛,12209,20120819,云南省,2063,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1238704.jpg,,,,,,,,,, +,Cephalostachyum pallidum,"李渤生,程树志等",4488,19830504,西藏自治区,1900~2050,常绿阔叶林下丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645103.jpg,,,,,,,,,, +,Cephalostachyum pallidum,薛纪如等,1182,19770914,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644595.jpg,,,,,,,,,, +,Cephalostachyum pergracile,张玉霄,许宇星,周梦媛,12172,20120814,云南省 ,745,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1234285.jpg,,,,,,,,,, +,Cephalostachyum pergracile,山路泓树,司马直央,成晓,16,20140725,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1260829.jpg,,,,,,,,,, +糯竹,Cephalostachyum pergracile,冯钦,21507,1953/9/9,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00011960.jpg,,,,,,,,,, +,Cephalotaxus fortunei var. alpina,北京所横断山队,2404,19810730,云南省,2600,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803825.jpg,,,,,,,,,, +,Cephalotaxus fortunei var. alpina,白龙江考察队,464,19980720,甘肃省,2000,山地 山坡 密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01561019.jpg,,,,,,,,,, +,Cephalotaxus fortunei var. alpina,"李安仁,张培忠",24,19660930,河南省,600,山坡 ,,无花有果,https://image.cvh.ac.cn/files/l/PE/00002809.jpg,,,,,,,,,, +三尖杉(原变种),Cephalotaxus fortunei var. fortunei,F.T.Wang,20739,1930/5/10,四川,1150,,small tree,有花无果,https://image.cvh.ac.cn/files/l/WUK/0044368.jpg,,,,,,,,,, +三尖杉(原变种),Cephalotaxus fortunei var. fortunei,C.W.Wang,64281,1935/07/,云南,2300,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0047709.jpg,,,,,,,,,, +三尖杉,Cephalotaxus fortunei var. fortunei,陈少卿,15357,19580828,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/061890.jpg,,,,,,,,,, +,Cephalotaxus hainanensis,"李渤生,程树志",2346,19821228,西藏自治区,1100~850,江边林下常见小乔木,,无花无果,https://image.cvh.ac.cn/files/l/PE/02073398.jpg,,,,,,,,,, +,Cephalotaxus hainanensis,陈毓彦,10,19760611,海南省,820,天池玢区一组,,无花有果,https://image.cvh.ac.cn/files/l/PE/01578638.jpg,,,,,,,,,, +海南粗榧,Cephalotaxus hainanensis,李泽贤、邢福武,s.n.,1985.12.20.,海南岛,650,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0013643.jpg,,,,,,,,,, +贡山三尖杉,Cephalotaxus lanceolata,冯国楣,24347,19591118,云南省,,江边阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00206970.jpg,,,,,,,,,, +贡山三尖杉,Cephalotaxus lanceolata,刘正宇,981078,19980425,重庆市,620,石灰山地岩石缝中,小乔木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0011379.jpg,,,,,,,,,, +贡山三尖杉,Cephalotaxus lanceolata,刘成;胡枭剑;李昌洪;李欣,19CS18622,20191031,云南,1548,林中沟边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1554193.jpg,,,,,,,,,, +粗榧,Cephalotaxus sinensis,1980 Sino-Amer. Exped.,1829,19800925,湖北省,1500,roadside streamside thicket,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086941.jpg,,,,,,,,,, +粗榧,Cephalotaxus sinensis,"张志耘,谢磊,张强",2015-252,20150509,广西壮族自治区,400,valley road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066730.jpg,,,,,,,,,, +粗榧,Cephalotaxus sinensis,"陈伟烈,陈家瑞,郭柯,闰建平",8481,19840725,四川省,2300,沟谷路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043705.jpg,,,,,,,,,, +卷耳,Cerastium arvense,"张志耘,谢磊等",2012-166,20120524,河北省,,"Valley,road side",,有花无果,https://image.cvh.ac.cn/files/l/PE/01900703.jpg,,,,,,,,,, +卷耳,Cerastium arvense,C.S.Chang et al.,SI0941,20100702,四川省,4060,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900528.jpg,,,,,,,,,, +卷耳,Cerastium arvense,L.Ivanina et al.,550,19780711,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01899062.jpg,,,,,,,,,, +,Cerastium caespitosum,邵剑文,2013243s,20130410,安徽省,100,Road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01968898.jpg,,,,,,,,,, +,Cerastium caespitosum,,,19730628,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900865.jpg,,,,,,,,,, +,Cerastium caespitosum,萧百中,3960,20050403,湖南省,550,"山沟,山地黄壤,光:阴,湿度:湿",,有花无果,https://image.cvh.ac.cn/files/l/PE/01858711.jpg,,,,,,,,,, +六齿卷耳,Cerastium cerastoides,"清水建美,近田文弘等",428,19910730,新疆维吾尔自治区,3200~3500,左侧谷地上游 山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467541.jpg,,,,,,,,,, +缘毛卷耳,Cerastium furcatum,"Jin Xh,Wang LS Wang Q,Wei R. Fu ZX Feng YL",ST2446,20130808,西藏自治区,4200,高山灌丛和草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020701.jpg,,,,,,,,,, +缘毛卷耳,Cerastium furcatum,C.S.Chang et al.,SI1087,20100703,四川省,2073,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900778.jpg,,,,,,,,,, +珠序卷耳,Cerastium glomeratum,"张力,万涛,王晖等",303,20130420,四川省,1700~1900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994208.jpg,,,,,,,,,, +珠序卷耳,Cerastium glomeratum,Taku Miyazaki,1303072,20120319,,1~2,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01969038.jpg,,,,,,,,,, +珠序卷耳,Cerastium glomeratum,龙茹等,90176,20090507,湖北省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868213.jpg,,,,,,,,,, +华北卷耳,Cerastium limprichtii,王一峰等,94059,19400709,甘肃省,2700,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00575375.jpg,,,,,,,,,, +华北卷耳,Cerastium limprichtii,Y.Yabe,s.n.,1907-07-,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0147679.jpg,,,,,,,,,, +华北卷耳,Cerastium limprichtii,Y.Yabe,s.n.,1906-07-,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0147681.jpg,,,,,,,,,, +,Cerastium pumilum,王启无,70567,19350600,云南省,2300,Mountain slope,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0511797.jpg,,,,,,,,,, +,Cerastium pumilum,中德植物考察队,35535,19870625,,900,limestone/dolomite with rensinas,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0531807.jpg,,,,,,,,,, +山卷耳,Cerastium pusillum,"Li Zhenyu,Jin Xiaohua,Tu Yanli etc.",T048,20160912,西藏自治区,2900,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233349.jpg,,,,,,,,,, +山卷耳,Cerastium pusillum,L.Ivanina et al.,406,19780705,,2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900885.jpg,,,,,,,,,, +四川卷耳,Cerastium szechuense,"关克俭,王文采等",642,19630718,四川省,3500,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00575408.jpg,,,,,,,,,, +,Cerastium szechuense,张昌兵,邓秀华,ZhangCB0257,20090905,四川,3500,撂荒地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1239124.jpg,,,,,,,,,, +尖尾樱桃,Cerasus caudata,青藏队,7013,19820528,云南省,3100,Abies林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01158035.jpg,,,,,,,,,, +尖尾樱桃,Cerasus caudata,C.W.Wang,65591,19350800,西藏自治区,3400,ravine side,,无花无果,https://image.cvh.ac.cn/files/l/PE/00772219.jpg,,,,,,,,,, +高盆樱桃,Cerasus cerasoides,"董洪进,王泽欢,尹志坚",WM-0361,20160504,云南省,1800,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090458.jpg,,,,,,,,,, +高盆樱桃,Cerasus cerasoides,徐洪贵,1897,19950608,四川省,1500,林间,,无花无果,https://image.cvh.ac.cn/files/l/PE/01681303.jpg,,,,,,,,,, +高盆樱桃,Cerasus cerasoides,毕节队,309,19590723,贵州省,1600,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01681297.jpg,,,,,,,,,, +微毛樱桃,Cerasus clarofolia,张彩飞,2690,20110602,湖南省,1400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247373.jpg,,,,,,,,,, +微毛樱桃,Cerasus clarofolia,"刘冰,于飞海",712,20070428,河北省,1421,阴坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042800.jpg,,,,,,,,,, +锥腺樱桃,Cerasus conadenia,巴山采集队,4832,20110628,四川省,1651,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872471.jpg,,,,,,,,,, +锥腺樱桃,Cerasus conadenia,白水江考察队,182,20060627,甘肃省,2150~2300,林下沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01860860.jpg,,,,,,,,,, +锥腺樱桃,Cerasus conadenia,巴山采集队,1535,20080719,陕西省,1500,山坡湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851136.jpg,,,,,,,,,, +,Cerasus crataegifolia,青藏队,7523,19820625,云南省,3400~3500,山坡 Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01158059.jpg,,,,,,,,,, +,Cerasus crataegifolia,"郎楷永,李良千,费勇",95,19820607,四川省,3600,山坡 冷杉 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01158058.jpg,,,,,,,,,, +偃樱桃,Cerasus mugus,北京植物所横断山队,1520,19810713,云南省,3600,杜鹃灌丛中常见伴生种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01158106.jpg,,,,,,,,,, +偃樱桃,Cerasus mugus,青藏队,10303,19820909,西藏自治区,3600,山坡 Abies 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01158075.jpg,,,,,,,,,, +散毛樱桃,Cerasus patentipila,青藏队,1913,19810607,云南省,3200,山坡 云冷杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01158081.jpg,,,,,,,,,, +散毛樱桃,Cerasus patentipila,应俊生,3685,19600528,四川省,3600,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/00773985.jpg,,,,,,,,,, +雕核樱桃,Cerasus pleiocerasus,青藏队,12060,19830720,四川省,3200,石灰岩 山坡 灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01158089.jpg,,,,,,,,,, +多毛樱桃,Cerasus polytricha,"冯正波,朱大海,李小杰",20070419,20070517,四川省,1850,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01841207.jpg,,,,,,,,,, +多毛樱桃,Cerasus polytricha,D.E.Boufford et al.,37704,20070512,甘肃省,1100~810,Remnant mixed deciduous forest with Acer,,无花有果,https://image.cvh.ac.cn/files/l/PE/01804386.jpg,,,,,,,,,, +细花樱桃,Cerasus pusilliflora,青藏队,6413,19820510,云南省,,山坡 杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01158103.jpg,,,,,,,,,, +细花樱桃,Cerasus pusilliflora,昆明工作站,56958,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0295376.jpg,,,,,,,,,, +细齿樱桃,Cerasus serrula,任再金,1-939,19820831,西藏自治区,3600,山脚下路旁溪旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841212.jpg,,,,,,,,,, +细齿樱桃,Cerasus serrula,任再金,3746,19930521,四川省,3000,山坡路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01821283.jpg,,,,,,,,,, +细齿樱桃,Cerasus serrula,汤宗孝等,1013,19810908,云南省,3270,林间草甸草场沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651948.jpg,,,,,,,,,, +刺毛樱桃,Cerasus setulosa,万涛等,1342,20140321,四川省,,水旁 疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918979.jpg,,,,,,,,,, +刺毛樱桃,Cerasus setulosa,白水江采集队,5421,20070525,甘肃省,2800,山坡杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01651950.jpg,,,,,,,,,, +托叶樱桃,Cerasus stipulacea,白水江考察队,204,20060625,甘肃省,2400,河谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651953.jpg,,,,,,,,,, +托叶樱桃,Cerasus stipulacea,Chen Zhiduan et al.,960904,19960603,重庆市,1840,damp valley,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629473.jpg,,,,,,,,,, +托叶樱桃,Cerasus stipulacea,"郎楷永,李良千,费勇",2870,19830806,四川省,3700~3950,冷杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01158143.jpg,,,,,,,,,, +康定樱桃,Cerasus tatsienensis,壶瓶山考察队,87163,19870518,湖南省,1420,北坡中上部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802472.jpg,,,,,,,,,, +康定樱桃,Cerasus tatsienensis,"D.E.Boufford,C.Y.Xi,T.S.Ying,C.J.Zhang et al.",26360,19940531,河南省,1150~950,on slopes and ridges,,无花有果,https://image.cvh.ac.cn/files/l/PE/01274679.jpg,,,,,,,,,, +康定樱桃,Cerasus tatsienensis,青藏队,6606,19820520,云南省,2720,山坡 针阔混交林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01158146.jpg,,,,,,,,,, +毛樱桃,Cerasus tomentosa,"川西队,关克俭,王文采等",1460,19630804,四川省,,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093142.jpg,,,,,,,,,, +毛樱桃,Cerasus tomentosa,张志耘等,2015-049,20150402,北京市,90,roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062388.jpg,,,,,,,,,, +毛樱桃,Cerasus tomentosa,孔冬梅,k0013,20140412,山西省,1492,山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/02039626.jpg,,,,,,,,,, +,Cerasus trichantha,"应俊生,洪德元",651093,19650904,西藏自治区,3500,村边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00806685.jpg,,,,,,,,,, +川西樱桃,Cerasus trichostoma,"龙茹,郑宝汇",90041,20090502,湖北省,1500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01857244.jpg,,,,,,,,,, +川西樱桃,Cerasus trichostoma,刘正宇,182485,20080426,重庆市,780,溪边杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01857242.jpg,,,,,,,,,, +多花云南樱桃,Cerasus yunnanensis var. polybotrys,T.T.Yu,5108,19370427,云南省,2900,among woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00806974.jpg,,,,,,,,,, +多花云南樱桃,Cerasus yunnanensis var. polybotrys,李安仁,朱家冉,10244,19590427,新疆维吾尔自治区,720,山地阴处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/756999.jpg,,,,,,,,,, +长毛垫状驼绒藜,Ceratoides compacta var. longipilosa,青藏队 植被组,13526,19760822,西藏自治区,4800,湖岸高阶地,小半灌木,无花无果,https://image.cvh.ac.cn/files/l/PE/00146793.jpg,,,,,,,,,, +长毛垫状驼绒藜,Ceratoides compacta var. longipilosa,中国科学院青甘调查队,1676,19590808,青海省,4060,冲积扇,半灌木,有花有果,https://image.cvh.ac.cn/files/l/PE/00024035.jpg,,,,,,,,,, +金鱼藻,Ceratophyllum demersum,"陈耀东,马欣堂",1337,19870724,山东省,41,水中沉水,不深1.5m,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307808.jpg,,,,,,,,,, +金鱼藻,Ceratophyllum demersum,236任务组,388,19700429,江西省,,水沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01974006.jpg,,,,,,,,,, +金鱼藻,Ceratophyllum demersum,"李渤生,程树志",2907,19830311,西藏自治区,1500,布琼错近河口淤泥滩不中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01974007.jpg,,,,,,,,,, +毛蓝雪花,Ceratostigma griffithii,PE西藏队,PE6736,20170916,西藏自治区,3568,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330556.jpg,,,,,,,,,, +毛蓝雪花,Ceratostigma griffithii,王启无,70035,19350900,云南省,2200,Mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00748691.jpg,,,,,,,,,, +毛蓝雪花,Ceratostigma griffithii,俞德俊,1726,19320000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00748690.jpg,,,,,,,,,, +小蓝雪花,Ceratostigma minus,PE西藏队,PE5446,20170831,西藏自治区,3792,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330549.jpg,,,,,,,,,, +小蓝雪花,Ceratostigma minus,D.E.Boufford & B.Bartholomew et al.,36274,20060811,四川省,3125,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101635.jpg,,,,,,,,,, +刺鳞蓝雪花,Ceratostigma ulicinum,PE西藏队,PE5229,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330550.jpg,,,,,,,,,, +刺鳞蓝雪花,Ceratostigma ulicinum,贾慎修,1662,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00748883.jpg,,,,,,,,,, +岷江蓝雪花,Ceratostigma willmottianum,"李渤生,程树志",6983,19830829,西藏自治区,1700,Pimrus 林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081153.jpg,,,,,,,,,, +岷江蓝雪花,Ceratostigma willmottianum,,8616,19750909,四川省,1100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01646842.jpg,,,,,,,,,, +叉枝牛角兰,Ceratostylis himalaica,金效华,9010,20070524,云南省,1037,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01825093.jpg,,,,,,,,,, +叉枝牛角兰,Ceratostylis himalaica,生态室高原组,11464,19800729,西藏自治区,1800,附生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376907.jpg,,,,,,,,,, +连香树,Cercidiphyllum japonicum,"川西队,关克俭,王文采等",2020,19630827,四川省,2450,阴坡山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091870.jpg,,,,,,,,,, +连香树,Cercidiphyllum japonicum,龙茹,90159,20090504,湖北省,1500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01989359.jpg,,,,,,,,,, +连香树,Cercidiphyllum japonicum,Kenji Inoue,101160,19910827,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01899623.jpg,,,,,,,,,, +湖北紫荆,Cercis glabra,红水河植物考察队,1638,19890523,广西壮族自治区,1000,石灰岩灌丛疏林内外,,无花有果,https://image.cvh.ac.cn/files/l/PE/01965992.jpg,,,,,,,,,, +湖北紫荆,Cercis glabra,"邓懋彬,方俊",11130,19970426,安徽省,900,山坡林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01629754.jpg,,,,,,,,,, +湖北紫荆,Cercis glabra,"武建勇,吴振海,刘艳等",164,20050709,陕西省,1040,路边河流旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01515460.jpg,,,,,,,,,, +丽江吊灯花,Ceropegia aridicola,滇西北金沙江队,4531,19630802,云南省,2200,江边 石灰质冲积土上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132643.jpg,,,,,,,,,, +丽江吊灯花,Ceropegia aridicola,G.Forrest,13394,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0517969.jpg,,,,,,,,,, +长叶吊灯花,Ceropegia dolichophylla,"刘冰,覃海宁,沈庆庚等",739,20070612,贵州省,1208,石山山顶灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042950.jpg,,,,,,,,,, +长叶吊灯花,Ceropegia dolichophylla,,14888,19760829,四川省,,河边灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01647722.jpg,,,,,,,,,, +金雀马尾参,Ceropegia mairei,"攀枝花苏铁考察队(杨永,莫旭,余志祥等)",261,20100711,四川省,2163,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231089.jpg,,,,,,,,,, +金雀马尾参,Ceropegia mairei,白水江考察队,1421,20060708,甘肃省,800,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01358913.jpg,,,,,,,,,, +白马吊灯花,Ceropegia monticola,青藏队,13634,19830904,四川省,2300,山坡 灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132657.jpg,,,,,,,,,, +白马吊灯花,Ceropegia monticola,George Forrest,13198,19140800,云南省,3333,On scrub amongst boulders,,有花有果,https://image.cvh.ac.cn/files/l/PE/01019240.jpg,,,,,,,,,, +白马吊灯花,Ceropegia monticola,"张志松,张永田",7684,19600812,贵州省,1300,山脚路旁灌林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01019238.jpg,,,,,,,,,, +木里吊灯花,Ceropegia muliensis,George Forrest,13117,19140000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01019241.jpg,,,,,,,,,, +木里吊灯花,Ceropegia muliensis,G.Forrest,13117,空,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005623.jpg,,,,,,,,,, +,Ceropegia muliensis,"Forrest, George",13117,14-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00275168.jpg,,,,,,,,,, +西藏吊灯花,Ceropegia pubescens,K.M.Feng,6994,19400826,云南省,2200~2300,草坡上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01132658.jpg,,,,,,,,,, +西藏吊灯花,Ceropegia pubescens,青藏队,3561,19740700,西藏自治区,2100,山坡路边常绿林,,有花有果,https://image.cvh.ac.cn/files/l/PE/01019253.jpg,,,,,,,,,, +西藏吊灯花,Ceropegia pubescens,川经凉,5605,19590820,四川省,1150,阴处灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01019247.jpg,,,,,,,,,, +狭叶吊灯花,Ceropegia stenophylla,李馨,71916,19570919,四川省,2400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01132660.jpg,,,,,,,,,, +狭叶吊灯花,Ceropegia stenophylla,E.H.Wilson,2313,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00029516.jpg,,,,,,,,,, +狭叶吊灯花,Ceropegia stenophylla,E.H.Wilson,2313,空,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005627.jpg,,,,,,,,,, +皱皮木瓜,Chaenomeles speciosa,张志耘等,2015-050,20150402,北京市,90,roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062387.jpg,,,,,,,,,, +皱皮木瓜,Chaenomeles speciosa,林秦文,2013-097,20130528,云南省,1600~1750,田边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02031486.jpg,,,,,,,,,, +皱皮木瓜,Chaenomeles speciosa,任再金,1-79,19810710,西藏自治区,3000,庭院中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01838105.jpg,,,,,,,,,, +西藏木瓜,Chaenomeles thibetica,"李渤生,程树志",1040,19820924,西藏自治区,2250,林东岗日嘎布河北岸小山次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075180.jpg,,,,,,,,,, +西藏木瓜,Chaenomeles thibetica,张秀实 任有铣,6832,19580824,四川省,2650,山坡上,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00004551.jpg,,,,,,,,,, +滇藏细叶芹,Chaerophyllopsis huai,青藏队,10148,19820908,西藏自治区,3600~3800,山沟灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00724791.jpg,,,,,,,,,, +滇藏细叶芹,Chaerophyllopsis huai,J.F.ROCK,10434,19330800,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/121228215.jpg,,,,,,,,,, +,Chaerophyllopsis huai,"Ducloux, F.",4565,1906/9/26,,,,,,https://image.cvh.ac.cn/files/l/P/P00752730.jpg,,,,,,,,,, +细叶芹,Chaerophyllum villosum,罗建等,LuoJian-XZ-0937,20091012,西藏自治区,3199,林缘灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923841.jpg,,,,,,,,,, +细叶芹,Chaerophyllum villosum,川经植,1840,19590807,四川省,,阳处岩石上路旁山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00724806.jpg,,,,,,,,,, +细叶芹,Chaerophyllum villosum,H.T.Tsai,57964,19330919,云南省,2600,in forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00724805.jpg,,,,,,,,,, +虫蚁菜,Chamabainia cuspidata,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET 2027,20080706,云南省,2300,evergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108210.jpg,,,,,,,,,, +虫蚁菜,Chamabainia cuspidata,郁文彬等,HW10365,20100730,四川省,1882,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062500.jpg,,,,,,,,,, +山扁豆短叶决明,Chamaecrista leschenaultiana,杨竞生,6,19911227,云南省,2100,路边,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0126816.jpg,,,,,,,,,, +短叶决明,Chamaecrista leschenaultiana,邓良,6553,19580625,广东省,300,山地路边疏林水旁,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0010096.jpg,,,,,,,,,, +地蔷薇,Chamaerhodos erecta,陈全胜,CF-0008-232,20170825,内蒙古自治区,696,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246912.jpg,,,,,,,,,, +地蔷薇,Chamaerhodos erecta,科学院黄河队甘一队,2280,19560814,宁夏回族自治区,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076770.jpg,,,,,,,,,, +地蔷薇,Chamaerhodos erecta,段长虹,Dch0109,20140605,山西省,1745,黄土高坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02031204.jpg,,,,,,,,,, +砂生地蔷薇,Chamaerhodos sabulosa,张珍万,1925,19630702,青海省,890,沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834291.jpg,,,,,,,,,, +砂生地蔷薇,Chamaerhodos sabulosa,青藏队,7235,19750808,西藏自治区,4600,山坡沙地草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834289.jpg,,,,,,,,,, +鹤庆矮泽芹,Chamaesium delavayi,滇西北金沙江队,6099,19630725,云南省,3650,石灰岩石隙,,有花无果,https://image.cvh.ac.cn/files/l/PE/00724828.jpg,,,,,,,,,, +鹤庆矮泽芹,Chamaesium delavayi,C.W.Wang,65566,1935/08/,云南,3400,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0047535.jpg,,,,,,,,,, +,Chamaesium novemjugum,"李渤生,程树志",6085,19830804,西藏自治区,4700,高山草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00931540.jpg,,,,,,,,,, +,Chamaesium novemjugum,G.Forrest,6019,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00780089.jpg,,,,,,,,,, +矮泽芹,Chamaesium paradoxum,"D.E.Boufford,J.H.Chen,K.Fujikawa etc.",33140,20050719,四川省,3640~3670,Mixed forests and adjacent meadows and boggy marshes.Wet meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/01983308.jpg,,,,,,,,,, +矮泽芹,Chamaesium paradoxum,,579,19640723,青海省,4100,河漫滩沼泽草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00931535.jpg,,,,,,,,,, +小矮泽芹,Chamaesium spatuliferum var. minor,杨竟生,90-438,19900829,西藏自治区,4750,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0438171.jpg,,,,,,,,,, +小矮泽芹,Chamaesium spatuliferum var. minor,王启无,65844,19350800,云南省 ,3800,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00021110.jpg,,,,,,,,,, +小矮泽芹,Chamaesium spatuliferum var. minor,王启无,65566,19350800,四川省,3400,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00034376.jpg,,,,,,,,,, +松潘矮泽芹,Chamaesium thalictrifolium,"川西队,关克俭,王文采等",1007,19630728,四川省,4000,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087895.jpg,,,,,,,,,, +松潘矮泽芹,Chamaesium thalictrifolium,刘尚武,542,19650827,青海省,4200,阳坡草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/00724883.jpg,,,,,,,,,, +松潘矮泽芹,Chamaesium thalictrifolium,王作宾,14458,19510719,甘肃省,3600,高山草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00724881.jpg,,,,,,,,,, +绿花矮泽芹,Chamaesium viridiflorum,青藏队,10506,19820918,西藏自治区,3600,山坡云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575795.jpg,,,,,,,,,, +绿花矮泽芹,Chamaesium viridiflorum,北京所横断山队,2807,19810810,云南省,3700~3800,冷杉林下石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01129751.jpg,,,,,,,,,, +绿花矮泽芹,Chamaesium viridiflorum,,7343,19740709,四川省,3700,河边草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00931529.jpg,,,,,,,,,, +,Chamerion angustifolium subsp. angustifolium,D.E.Boufford et al.,40741,20090718,西藏自治区,3730,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925196.jpg,,,,,,,,,, +,Chamerion conspersum,J.I.Jeon et al.,SI1359,20100810,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932324.jpg,,,,,,,,,, +网脉柳兰,Chamerion conspersum,余奇、周晓雪、黎怀成,THP-KD-4478,20170715,四川,3379,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242460.jpg,,,,,,,,,, +独花兰,Changnienia amoena,赵常明,EX2477,20090413,湖北省,1440,阔叶林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01989852.jpg,,,,,,,,,, +独花兰,Changnienia amoena,白水江采集队,3735,20070429,甘肃省,1450,杂木林下阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01704067.jpg,,,,,,,,,, +独花兰,Changnienia amoena,,s.n.,,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01681814.jpg,,,,,,,,,, +弯管花,Chassalia curviflora,236-6队,3729,19810713,海南省,60~80,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589599.jpg,,,,,,,,,, +弯管花,Chassalia curviflora,陈伟烈,10957,19800707,西藏自治区,750,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01468015.jpg,,,,,,,,,, +弯管花,Chassalia curviflora,王启无,76735,19360500,云南省,1300,Ravine,,有花有果,https://image.cvh.ac.cn/files/l/PE/00635335.jpg,,,,,,,,,, +大果假水晶兰,Cheilotheca macrocarpa,王启无,87676,19400309,云南省,0,hilly slope,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0234771.jpg,,,,,,,,,, +大果假水晶兰,Cheilotheca macrocarpa,李光照,12089,19840509,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00189024.jpg,,,,,,,,,, +,Cheilotheca macrocarpa,侯学良、欣玮玮、张若鹏、张舒欢,2016042905,20160429,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/AU054632.jpg,,,,,,,,,, +白屈菜,Chelidonium majus,黄河队,中阳乙队73号,19550613,山西省,,水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081859.jpg,,,,,,,,,, +白屈菜,Chelidonium majus,关克俭,1827,19570716,新疆维吾尔自治区,1700,山崖,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078937.jpg,,,,,,,,,, +白屈菜,Chelidonium majus,周长山,2029,19850420,河南省,,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050721.jpg,,,,,,,,,, +白花铃子香,Chelonopsis albiflora,PE西藏队,PE5437,20170831,西藏自治区,3792,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331157.jpg,,,,,,,,,, +白花铃子香,Chelonopsis albiflora,,5810,19740809,四川省,3200,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671768.jpg,,,,,,,,,, +具苞铃子香,Chelonopsis bracteata,G. Forrest,11408,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00695409.jpg,,,,,,,,,, +具苞铃子香,Chelonopsis bracteata,川经植,3618,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00695408.jpg,,,,,,,,,, +,Chelonopsis bracteata,"Forrest, George",11408,13-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00284282.jpg,,,,,,,,,, +大萼铃子香,Chelonopsis forrestii,FLPH Sichuan Expedition,151514,20150828,四川省,3280,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328334.jpg,,,,,,,,,, +大萼铃子香,Chelonopsis forrestii,俞德俊,6409,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00695414.jpg,,,,,,,,,, +丽江铃子香,Chelonopsis lichiangensis,,2595,19390000,云南省,,东山白水河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00695419.jpg,,,,,,,,,, +丽江铃子香,Chelonopsis lichiangensis,,13587,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0564746.jpg,,,,,,,,,, +多毛铃子香,Chelonopsis mollissima,毛品一,2037,19521219,云南省,1200,斜坡干燥,,有花有果,https://image.cvh.ac.cn/files/l/PE/00695422.jpg,,,,,,,,,, +多毛铃子香,Chelonopsis mollissima,昆明工作站,1727,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0564747.jpg,,,,,,,,,, +齿唇铃子香,Chelonopsis odontochila var. odontochila,省东桧等,,19611107,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/212103.jpg,,,,,,,,,, +钝齿,Chelonopsis odontochila var. smithii,T. T. Yu,14176,19370905,四川省,1800,Margin of thickets,,有花有果,https://image.cvh.ac.cn/files/l/PE/00695428.jpg,,,,,,,,,, +假具苞铃子香,Chelonopsis pseudobracteata,K. M. Feng ,2898,19390901,四川省,2700,in mixed thickets,,有花有果,https://image.cvh.ac.cn/files/l/PE/00695432.jpg,,,,,,,,,, +假具苞铃子香,Chelonopsis pseudobracteata,T. T. Yu,14928,19371121,云南省,200,林旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00695431.jpg,,,,,,,,,, +干生铃子香,Chelonopsis siccanea,G. Forrest,28554,19300000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00695439.jpg,,,,,,,,,, +干生铃子香,Chelonopsis siccanea,G.Ferrlst.,13082,1914,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005095.jpg,,,,,,,,,, +干生铃子香,Chelonopsis siccanea,M.Iabbe Delavay,2245,18861002,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220590.jpg,,,,,,,,,, +轮叶铃子香,Chelonopsis souliei,PE西藏队,PE5042,20170825,西藏自治区,3749,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330747.jpg,,,,,,,,,, +轮叶铃子香,Chelonopsis souliei,Liu Ende et al.,2663,20100810,四川省,2897,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913990.jpg,,,,,,,,,, +尖头叶藜,Chenopodium acuminatum,陈全胜,CF-0009-245,20170826,内蒙古自治区,2264,沙质草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246654.jpg,,,,,,,,,, +尖头叶藜,Chenopodium acuminatum,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T340,20160920,西藏自治区,2159,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233344.jpg,,,,,,,,,, +尖头叶藜,Chenopodium acuminatum,计贤礼,,19550704,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082476.jpg,,,,,,,,,, +,Chenopodium ficifolium,牧草组,231,19570613,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811492.jpg,,,,,,,,,, +,Chenopodium ficifolium,刘淼等,A170039,20061105,安徽省,150,生于池塘边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801943.jpg,,,,,,,,,, +,Chenopodium ficifolium,"Ralph G.Mills,M.D.",s.n.,19110825,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01795999.jpg,,,,,,,,,, +灰绿藜,Chenopodium glaucum,PE西藏考察队,7242,20180614,西藏自治区,4163,河谷坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333225.jpg,,,,,,,,,, +灰绿藜,Chenopodium glaucum,,20784,19520901,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082455.jpg,,,,,,,,,, +灰绿藜,Chenopodium glaucum,黄河队,13,19540905,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081764.jpg,,,,,,,,,, +杂配藜,Chenopodium hybridum,黄河队,176,19540927,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081771.jpg,,,,,,,,,, +杂配藜,Chenopodium hybridum,孔冬梅,k0305,20140708,山西省,776,崖脚,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036735.jpg,,,,,,,,,, +杂配藜,Chenopodium hybridum,Joh.Wiekbom.,,18290808,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036538.jpg,,,,,,,,,, +,Chenopodium karoi,甘农大,88,19760724,西藏自治区,5100,湿生,,无花无果,https://image.cvh.ac.cn/files/l/PE/00541004.jpg,,,,,,,,,, +,Chenopodium karoi,黄河队,10261,19560916,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00235060.jpg,,,,,,,,,, +,Chenopodium tibeticum,FLPH Tibet Expedition,12-0076,20120903,西藏自治区,4682,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967976.jpg,,,,,,,,,, +,Chenopodium tibeticum,陈家辉,韩希,王广艳,李资磊,YangYP-Q-4170,20110904,西藏,4453,湖滩草地,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1244843.jpg,,,,,,,,,, +,Chesneya acaulis,青藏队,12922,19760701,西藏自治区,3000,岩质坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01499384.jpg,,,,,,,,,, +无茎雀儿豆,Chesneya acaulis,方震东、刘琳、李红、和光、史小武、赵卫东、陈洁,K-2359,20021015,云南省,4298,高山苔草草甸,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007312.jpg,,,,,,,,,, +,Chesneya crassipes,生物研究所西藏考察队,3827,19740806,西藏自治区,3700,沟边砂砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00100751.jpg,,,,,,,,,, +长梗雀儿豆,Chesneya crassipes,方震东、和光、刘琳、郑群英、李红、史效武、陈洁、赵卫东,K-668,20020629,云南省,3610,落叶阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006884.jpg,,,,,,,,,, +截叶雀儿豆,Chesneya cuneata,"张洪军, 许惠军",ZHANG2017HC025,20170519,甘肃,1448,温带荒漠沟谷灌草植被,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454925.jpg,,,,,,,,,, +川滇雀儿豆,Chesneya polystichoides,张宪春等,2159,20010815,云南省,4200~4300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01499374.jpg,,,,,,,,,, +川滇雀儿豆,Chesneya polystichoides,青藏队,13836,19830909,四川省,4500,山坡碎石坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00463321.jpg,,,,,,,,,, +川滇雀儿豆,Chesneya polystichoides,青藏队,10678,19820926,西藏自治区,4300,山坡灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00463320.jpg,,,,,,,,,, +刺柄雀儿豆,Chesneya spinosa,PE西藏队,PE5452,20170831,西藏自治区,3792,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330338.jpg,,,,,,,,,, +刺柄雀儿豆,Chesneya spinosa,"刘成, 张挺, 亚吉东",18CS17447,20180910,西藏,4920,高山碎石坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483913.jpg,,,,,,,,,, +喜冬草,Chimaphila japonica,巴山采集队,6018,20120629,四川省,1320,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059249.jpg,,,,,,,,,, +喜冬草,Chimaphila japonica,"倪志诚,汪永泽,次多,次旦",593,19800724,西藏自治区,2100,山坡杂木林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882041.jpg,,,,,,,,,, +喜冬草,Chimaphila japonica,张宪春,S-013,19890927,云南省,2300,松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882032.jpg,,,,,,,,,, +缅甸方竹,Chimonobambusa armata,辉朝茂,88107,19881213,云南省,1500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644507.jpg,,,,,,,,,, +缅甸方竹,Chimonobambusa armata,生态室高原组,11004,19800708,西藏自治区,850,林间,,无花有果,https://image.cvh.ac.cn/files/l/PE/01606134.jpg,,,,,,,,,, +,Chimonobambusa metuoensis,"李渤生,程树志",807,19820911,西藏自治区,2450,常绿阔叶林中灌木优势种,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091098.jpg,,,,,,,,,, +,Chimonobambusa purpurea,Zhang,840377,19860922,四川省,850~900,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644616.jpg,,,,,,,,,, +,Chimonobambusa purpurea,青藏队,8912,19820807,云南省,7100,山坡常绿阔叶林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01512121.jpg,,,,,,,,,, +方竹,Chimonobambusa quadrangularis,,F181522,19810519,福建省,100,山脚 路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644516.jpg,,,,,,,,,, +方竹,Chimonobambusa quadrangularis,章伟平,840339,19860226,浙江省,600,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644512.jpg,,,,,,,,,, +,Chionanthus ramiflorus,陈添财,12013,20020718,台湾省,100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647402.jpg,,,,,,,,,, +,Chionanthus ramiflorus,"李渤生,程树志",4591,19830511,西藏自治区,900,路边时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506200.jpg,,,,,,,,,, +枝花流苏树,Chionanthus ramiflorus,中苏队,5638,19550509,云南省,1700,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0458036.jpg,,,,,,,,,, +流苏树,Chionanthus retusus,C.W.Wang,71731,19351100,云南省,2500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110211.jpg,,,,,,,,,, +流苏树,Chionanthus retusus,云台山采集队,931,20090617,河南省,,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02034097.jpg,,,,,,,,,, +流苏树,Chionanthus retusus,井波一雄,219292,19510513,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883371.jpg,,,,,,,,,, +垫紫草,Chionocharis hookeri,姜恕等,3974,19600615,四川省,4890,山顶路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111162.jpg,,,,,,,,,, +垫紫草,Chionocharis hookeri,FLPH Tibet Expedition,12-0032,20120902,西藏自治区,4755,湖边沙地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01966913.jpg,,,,,,,,,, +光萼唇柱苣苔,Chirita anachoreta,李鹏伟,LPW2016122,20161015,广西壮族自治区,670,路边石壁上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088075.jpg,,,,,,,,,, +光萼唇柱苣苔,Chirita anachoreta,林彦翔,LXY2016069,20160904,云南省,1062,山坡潮湿密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02088074.jpg,,,,,,,,,, +圆叶唇柱苣苔,Chirita dielsii,刘方谱,lfp2017024,20170915,云南省,1879,瀑布边潮湿石壁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115704.jpg,,,,,,,,,, +圆叶唇柱苣苔,Chirita dielsii,李鸣冈,302,19390929,云南省 ,0~1990,,herb,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0548785.jpg,,,,,,,,,, +滇川唇柱苣苔,Chirita forrestii,青藏队,13487,19830826,四川省,2400~2500,山沟 岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173181.jpg,,,,,,,,,, +滇川唇柱苣苔,Chirita forrestii,George Forrest,20564,19210700,云南省,2667,on moist humus-covered boulders by streams,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032254.jpg,,,,,,,,,, +合苞唇柱苣苔,Chirita infundibuliformis,生态室高原组,14039,19800807,西藏自治区,1500~2200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00140611.jpg,,,,,,,,,, +合苞唇柱苣苔,Chirita infundibuliformis,青藏队,74-4437,19740820,西藏,1900,山坡阔叶林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219125.jpg,,,,,,,,,, +卧茎唇柱苣苔,Chirita lachenensis,青藏队,74-3991,19740803,西藏自治区,2300,山坡阔叶混淆林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00140644.jpg,,,,,,,,,, +长圆叶唇柱苣苔,Chirita oblongifolia,,2561,19740915,西藏自治区,,热带季雨林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670043.jpg,,,,,,,,,, +长圆叶唇柱苣苔,Chirita oblongifolia,T.T.Yu,20458,19380926,云南省,1200,Margin of forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670040.jpg,,,,,,,,,, +斑叶唇柱苣苔,Chirita pumila,刘方谱,LFP2016018,20160721,云南省,2000,林下山谷石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02106073.jpg,,,,,,,,,, +斑叶唇柱苣苔,Chirita pumila,,991116,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088176.jpg,,,,,,,,,, +斑叶唇柱苣苔,Chirita pumila,李鹏伟,LPW2016073,20160731,广西壮族自治区,1300,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072023.jpg,,,,,,,,,, +康定唇柱苣苔,Chirita tibetica,"邱志敬,冯翠元,彭杨",QZJ-0941,20130808,云南省,2152,河流边石壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02025291.jpg,,,,,,,,,, +康定唇柱苣苔,Chirita tibetica,李鹏伟,LPW2012026,20120913,四川省,2220,路边土壁上,生于草丛中,岩石上也有分布,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909987.jpg,,,,,,,,,, +,Chloranthus erectus,科考队,1659,19740806,西藏自治区,1000,常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00774510.jpg,,,,,,,,,, +,Chloranthus erectus,H.F.Sun,1671,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00774498.jpg,,,,,,,,,, +,Chloranthus erectus,H.T.Tsai,51877,19330302,云南省,1600,溪边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00774496.jpg,,,,,,,,,, +多穗金粟兰,Chloranthus multistachys,龙茹等,90809001,20090809,湖北省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02003806.jpg,,,,,,,,,, +多穗金粟兰,Chloranthus multistachys,北京队,897417,19890926,广西壮族自治区,1000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980261.jpg,,,,,,,,,, +多穗金粟兰,Chloranthus multistachys,巴山采集队,5125,20110702,四川省,1350,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873084.jpg,,,,,,,,,, +,Chloris pycnothrix,刘艳春等,365,20100912,云南省,1604,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221353.jpg,,,,,,,,,, +异序虎尾草,Chloris pycnothrix,税玉民,陈文红等,72141,20070826,云南,1266,石灰岩山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400544.jpg,,,,,,,,,, +虎尾草,Chloris virgata,陈全胜,CF-0007-179,20170825,内蒙古自治区,462,碱化草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246934.jpg,,,,,,,,,, +虎尾草,Chloris virgata,周口店考察队,84,20080712,北京市,125,路边灌草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112289.jpg,,,,,,,,,, +虎尾草,Chloris virgata,"老铁山采集队(孙英宝,王小平,刘冰等)",394,20080711,辽宁省,,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088925.jpg,,,,,,,,,, +狭叶吊兰,Chlorophytum chinense,T.T.Yu,12937,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00111352.jpg,,,,,,,,,, +狭叶吊兰,Chlorophytum chinense,四川省植被调查队,2104,19730712,四川省,3000,生于向阳干燥山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00111344.jpg,,,,,,,,,, +西南吊兰,Chlorophytum nepalense,S.Y.Hu & K.H.Yung,260,20000906,香港,,"from a house plant,raised in the office of Herbarium,Department of Biology,CUHK.",,无花无果,https://image.cvh.ac.cn/files/l/PE/01944860.jpg,,,,,,,,,, +西南吊兰,Chlorophytum nepalense,杨永等,514,20100915,四川省,1604,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01939754.jpg,,,,,,,,,, +西南吊兰,Chlorophytum nepalense,蓝顺彬,453,19850714,云南省,1500,向阳山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01606967.jpg,,,,,,,,,, +南酸枣,Choerospondias axillaris,高天刚,1668,19980524,云南省,1650,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245340.jpg,,,,,,,,,, +南酸枣,Choerospondias axillaris,管中天,6419,19590908,四川省,780,小铁子-柏木林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245278.jpg,,,,,,,,,, +南酸枣,Choerospondias axillaris,中植联广西队,1500,20080613,广西壮族自治区,750,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245275.jpg,,,,,,,,,, +沙地粉苞菊,Chondrilla ambigua,清水建美等,1,19910719,新疆维吾尔自治区,430,荒漠,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106977.jpg,,,,,,,,,, +沙地粉苞菊,Chondrilla ambigua,关克俭,5173,57.09.24,新疆维吾尔自治区 ,800,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00043011.jpg,,,,,,,,,, +沙地粉苞菊,Chondrilla ambigua,关克俭,5173,570924,,800,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20023425.jpg,,,,,,,,,, +短喙粉苞菊,Chondrilla brevirostris,"陈又生,袁慊",141634,20140819,新疆维吾尔自治区,490,荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084564.jpg,,,,,,,,,, +短喙粉苞菊,Chondrilla brevirostris,N.Androssov,4686,19080706,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01702736.jpg,,,,,,,,,, +宽冠粉苞菊,Chondrilla laticoronata,林有润,74816,19740807,新疆维吾尔自治区,830,旱田梁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106431.jpg,,,,,,,,,, +宽冠粉苞菊,Chondrilla laticoronata,,3999,74.08.09,新疆维吾尔自治区 ,850,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00043023.jpg,,,,,,,,,, +宽冠粉苞菊,Chondrilla laticoronata,,3999,740809,,850,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20023437.jpg,,,,,,,,,, +北疆粉苞菊,Chondrilla lejosperma,朱格麟等,6668,19640908,新疆维吾尔自治区,,砾石戈壁滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01777053.jpg,,,,,,,,,, +北疆粉苞菊,Chondrilla lejosperma,,7273,58.06.16,新疆维吾尔自治区 ,500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00043026.jpg,,,,,,,,,, +北疆粉苞菊,Chondrilla lejosperma,,7273,580616,,500,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20023440.jpg,,,,,,,,,, +,Chondrilla ornata,"陈又生,袁慊",141550,20140815,新疆维吾尔自治区,1826,荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040590.jpg,,,,,,,,,, +中亚粉苞苣,Chondrilla ornata,关克俭,4092,57.09.02,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00043036.jpg,,,,,,,,,, +中亚粉苞苣,Chondrilla ornata,关克俭,4092,570902,,,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20023450.jpg,,,,,,,,,, +粉苞菊,Chondrilla piptocoma,"陈又生,袁慊",141366,20140808,新疆维吾尔自治区,1620,荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084565.jpg,,,,,,,,,, +粉苞菊,Chondrilla piptocoma,"朱世新,高天刚",132,20020924,青海省,4500,戈壁荒滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772080.jpg,,,,,,,,,, +粉苞菊,Chondrilla piptocoma,B.Schischkin et al.,4688,19310904,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01702502.jpg,,,,,,,,,, +漾濞鹿角藤,Chonemorpha griffithii,"尹志坚,董洪进",287,20090302,云南省,1363~1400,Riversides,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005351.jpg,,,,,,,,,, +小花离子芥,Chorispora macropoda,青藏队,870481,19870707,新疆维吾尔自治区,4800,砾石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998058.jpg,,,,,,,,,, +小花离子芥,Chorispora macropoda,,9,19820708,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900888.jpg,,,,,,,,,, +塔什离子芥,Chorispora tashkorganica,B.Bartholomew et al.,8369,20010630,新疆维吾尔自治区,4100,Growing on open gentle slopes,,有花有果,https://image.cvh.ac.cn/files/l/PE/01005195.jpg,,,,,,,,,, +高原芥,Christolea crassifolia,PE西藏考察队,7736,20180624,西藏自治区,3902,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332648.jpg,,,,,,,,,, +高原芥,Christolea crassifolia,郭柯,12813,19900904,新疆维吾尔自治区,3400,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046372.jpg,,,,,,,,,, +,Chrysanthemum chanetii,周口店考察队,227,20080927,北京市,,灌草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112206.jpg,,,,,,,,,, +,Chrysanthemum chanetii,孔冬梅,k0455,20140725,山西省,2191,灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064700.jpg,,,,,,,,,, +,Chrysanthemum chanetii,云台山采集队,155,20080922,河南省,,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040419.jpg,,,,,,,,,, +拟亚菊,Chrysanthemum glabriusculum,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13935,20161016,四川,3287,路边灌草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1448987.jpg,,,,,,,,,, +,Chrysanthemum glabriusculum,"Forrest, George",11302,13-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00557778.jpg,,,,,,,,,, +,Chrysanthemum hypargyreum,秦岭队,1216,19590927,陕西省,2650,阳处岩石上野生,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111348.jpg,,,,,,,,,, +,Chrysanthemum hypargyreum,鞠文彬,郑臣臣,THP-KD-6557,20170818,四川省,3629,日乌且到电站草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251690.jpg,,,,,,,,,, +,Chrysanthemum hypargyreum,鞠文彬,郑臣臣,THP-KD-6557,20170818,四川,3629,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251689.jpg,,,,,,,,,, +,Chrysanthemum lavandulifolium var. tomentellum,陈永昌,1554,19581118,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00024044.jpg,,,,,,,,,, +,Chrysoglossum assamicum,"李渤生,程树志",2702,19830125,西藏自治区,1600,常绿阔叶林下偶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01376923.jpg,,,,,,,,,, +,Chrysoglossum assamicum,,51507,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00271399.jpg,,,,,,,,,, +,Chrysoglossum assamicum,黄志,39101,19360425,广西壮族自治区,,近滴水峭壁处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00271398.jpg,,,,,,,,,, +刺金须茅,Chrysopogon gryllus,王崇书等,3152,19580922,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00119113.jpg,,,,,,,,,, +蔽果金腰,Chrysosplenium absconditicapsulum,肖培根,1566,19650720,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029277.jpg,,,,,,,,,, +长梗金腰,Chrysosplenium axillare,T.N.Liou P.C.Tsoong,514,19370830,陕西省,2100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980408.jpg,,,,,,,,,, +长梗金腰,Chrysosplenium axillare,T.P.Wang,7563,19370823,甘肃省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980407.jpg,,,,,,,,,, +肉质金腰,Chrysosplenium carnosum,青藏队补点组,751247,19750804,西藏自治区,4700,石下生,,有花有果,https://image.cvh.ac.cn/files/l/PE/01120898.jpg,,,,,,,,,, +肉质金腰,Chrysosplenium carnosum,青藏队,4054,19810812,四川省,4400,"山坡,灌丛,草地",,无花无果,https://image.cvh.ac.cn/files/l/PE/00864308.jpg,,,,,,,,,, +肉质金腰,Chrysosplenium carnosum,杨竞生,90-206,1990-07-,西藏省,4500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145001.jpg,,,,,,,,,, +滇黔金腰,Chrysosplenium cavaleriei,李泽棠,s.n.,19540000,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01120899.jpg,,,,,,,,,, +滇黔金腰,Chrysosplenium cavaleriei,,2667,19760709,湖北省,1500,"山坡,路边",,无花无果,https://image.cvh.ac.cn/files/l/PE/00863522.jpg,,,,,,,,,, +滇黔金腰,Chrysosplenium cavaleriei,"刘恩德,匡健,张冲平,郑天水,高德祥",4754,20160523,云南省,2240,under bamboo forest,,,https://image.cvh.ac.cn/files/l/KUN/1288422.jpg,,,,,,,,,, +锈毛金腰,Chrysosplenium davidianum,宋滋圃,38595,19540000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980405.jpg,,,,,,,,,, +锈毛金腰,Chrysosplenium davidianum,尹志坚等,480,20090417,云南省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898379.jpg,,,,,,,,,, +锈毛金腰,Chrysosplenium davidianum,"龙茹,郑宝汇",90146,20090504,湖北省,1500,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01857389.jpg,,,,,,,,,, +肾萼金腰,Chrysosplenium delavayi,北京队,895719,19890601,广西壮族自治区,450,水沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01995106.jpg,,,,,,,,,, +肾萼金腰,Chrysosplenium delavayi,中苏调查团,2018,19550622,云南省,,山谷、路旁、密林中,峻坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980403.jpg,,,,,,,,,, +肾萼金腰,Chrysosplenium delavayi,"熊济华,周子林",90340,19570416,重庆市,1700,途中,石岩上阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980402.jpg,,,,,,,,,, +贡山金腰,Chrysosplenium forrestii,北京植物所横断山队,1516,19810713,云南省,3600,高山 灌丛草甸流水边时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494669.jpg,,,,,,,,,, +贡山金腰,Chrysosplenium forrestii,西藏中草药普查队,3897,19720726,西藏自治区,3900,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01121189.jpg,,,,,,,,,, +褐点猫眼草,Chrysosplenium fuscopuncticulosum,T.T.Yu,8694,19370621,云南省,3600,mt.on rocks,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/01121089.jpg,,,,,,,,,, +褐点猫眼草,Chrysosplenium fuscopuncticulosum,姜恕等,5144,19610612,四川省,4050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01121086.jpg,,,,,,,,,, +居间金腰,Chrysosplenium griffithii var. intermedium,杨永昌,1072,19650630,青海省,4500,岩石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01121180.jpg,,,,,,,,,, +居间金腰,Chrysosplenium griffithii var. intermedium,T.T.Yu,12796,19370820,云南省,4000,upon shady rocks,,有花有果,https://image.cvh.ac.cn/files/l/PE/01121179.jpg,,,,,,,,,, +居间金腰,Chrysosplenium griffithii var. intermedium,K.L.Chu,7028,19400602,四川省,3600,on shady sharp slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01121173.jpg,,,,,,,,,, +绵毛金腰,Chrysosplenium lanuginosum,"董洪进,王泽欢,尹志坚",WM-0207,20160427,云南省,1500~1600,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090437.jpg,,,,,,,,,, +绵毛金腰,Chrysosplenium lanuginosum,"傅德志,陈淑荣,邵毅贞等",1512,20140421,四川省,1300~1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021626.jpg,,,,,,,,,, +绵毛金腰,Chrysosplenium lanuginosum,北京队,7890160,19890423,广西壮族自治区,,林缘阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995102.jpg,,,,,,,,,, +理县金腰,Chrysosplenium lixianense,"何铸,周子林",s.n,19520000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00861933.jpg,,,,,,,,,, +理县金腰,Chrysosplenium lixianense,调查队 ,660016,19660304,江西省,800,沟谷路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00861934.jpg,,,,,,,,,, +理县金腰,Chrysosplenium lixianense,石花花,69,20150420,贵州,1100,,,有花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0007316.jpg,,,,,,,,,, +山溪金腰,Chrysosplenium nepalense,PE西藏考察队,7469,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333824.jpg,,,,,,,,,, +山溪金腰,Chrysosplenium nepalense,中苏调查团,2329,19550625,云南省,,lieux tres ombr,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980393.jpg,,,,,,,,,, +山溪金腰,Chrysosplenium nepalense,T.Naito et al. ,112,19860426,四川省,1700~2050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800080.jpg,,,,,,,,,, +裸茎金腰,Chrysosplenium nudicaule,"张新时,郭柯",天山-341,19860803,新疆维吾尔自治区,3420,石质平台 T-038,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080838.jpg,,,,,,,,,, +裸茎金腰,Chrysosplenium nudicaule,,5044,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352564.jpg,,,,,,,,,, +鸦跖花金腰,Chrysosplenium oxygraphoides,刘继孟,10046,1951/7/19,甘肃省,1550,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0032858.jpg,,,,,,,,,, +鸦跖花金腰,Chrysosplenium oxygraphoides,付筱,雷嘉卿,周雨阳,LJQ-A-012-012,20200921,四川,3408,路边,阴生,无花无果,https://image.cvh.ac.cn/files/l/SZ/02065758.jpg,,,,,,,,,, +柔毛金腰,Chrysosplenium pilosum var. valdepilosum,刘冰,730,20070502,河北省,1864,阴坡石缝中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042803.jpg,,,,,,,,,, +柔毛金腰,Chrysosplenium pilosum var. valdepilosum,"何铸,周子林",12474,19520000,四川省,,lieux tres ombr,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980392.jpg,,,,,,,,,, +柔毛金腰,Chrysosplenium pilosum var. valdepilosum,J.F.Rock,12097,19250000,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980391.jpg,,,,,,,,,, +西康金腰,Chrysosplenium sikangense,Feng,7779,19400915,云南省,3700~3800,岩坡上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00861955.jpg,,,,,,,,,, +中华金腰,Chrysosplenium sinicum,Wang Chen-Hwa,471,19360820,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980388.jpg,,,,,,,,,, +中华金腰,Chrysosplenium sinicum,"刘冰,于飞海",722,20070501,河北省,1163,阴坡石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977811.jpg,,,,,,,,,, +中华金腰,Chrysosplenium sinicum,白水江考察队,736,20060629,甘肃省,2000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860933.jpg,,,,,,,,,, +单花金腰,Chrysosplenium uniflorum,"张树仁,陈淑荣,朗校安等",2141,20140620,四川省,1650~1800,山坡 阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021916.jpg,,,,,,,,,, +单花金腰,Chrysosplenium uniflorum,K.M.Liou,6986,19360906,青海省,2390,lieux tres ombrages hundes sous les rochers,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980390.jpg,,,,,,,,,, +盐源金腰,Chrysosplenium yanyuanense,青藏队,12361,19830723,四川省,4100,山坡岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01896032.jpg,,,,,,,,,, +麻楝,Chukrasia tabularis,"李渤生,程树志",2738,19830204,西藏自治区,850,藤桥边常见高大乔木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077212.jpg,,,,,,,,,, +麻楝,Chukrasia tabularis,"张寿洲,李良千等",3683,20050724,广东省,100~200,密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01932125.jpg,,,,,,,,,, +,Cicer microphyllum,青藏队植被组,12806,19760612,西藏自治区,4100,山坡冲沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01538076.jpg,,,,,,,,,, +,Cicer microphyllum,,,19660613,,3950,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00100852.jpg,,,,,,,,,, +岩参,Cicerbita azurea,"陈又生,袁慊",141429,20140810,新疆维吾尔自治区,,灌丛草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02065047.jpg,,,,,,,,,, +岩参,Cicerbita azurea,白龙江考察队,444,19980720,甘肃省,2000,山地 山坡 疏林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01537051.jpg,,,,,,,,,, +青甘岩参,Cicerbita roborowskii,不祥,9111,19580901,甘肃省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/003320.jpg,,,,,,,,,, +青甘岩参,Cicerbita roborowskii,H.B.G,92,19930721,青海省,3250,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0212770.jpg,,,,,,,,,, +青甘岩参,Cicerbita roborowskii,西藏中草药普查队,1555,19720827,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/31000.jpg,,,,,,,,,, +毒芹,Cicuta virosa,"陈又生,袁慊,徐连升等",140696,20140721,内蒙古自治区,1200,湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038581.jpg,,,,,,,,,, +毒芹,Cicuta virosa,B.Boivin et al.,10066,19520406,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02003408.jpg,,,,,,,,,, +毒芹,Cicuta virosa,复旦闽西中队,92901,19580914,福建省,,草地 阳生 湿生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01940156.jpg,,,,,,,,,, +两裂升麻,Cimicifuga foetida var. bifida,"程树志,李渤生",303,19820820,西藏自治区,3500~3700,林缘 常见草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491673.jpg,,,,,,,,,, +两裂升麻,Cimicifuga foetida var. bifida,钟补求,10008,19580730,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00441834.jpg,,,,,,,,,, +多小叶升麻,Cimicifuga foetida var. foliolosa,D.E.Boufford et al.,41373,20090729,西藏自治区,3700~3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900972.jpg,,,,,,,,,, +多小叶升麻,Cimicifuga foetida var. foliolosa,D.E.Boufford et al.,33670,20050729,四川省,3690,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859769.jpg,,,,,,,,,, +单穗升麻,Cimicifuga simplex,"王薇,方振富,林长清,何汇珍",2347,19630801,吉林省,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234061.jpg,,,,,,,,,, +单穗升麻,Cimicifuga simplex,Taku Miyazaki,710444,20071029,,290~330,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900587.jpg,,,,,,,,,, +单穗升麻,Cimicifuga simplex,汤宗孝,1048,19810913,云南省,3760,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01605627.jpg,,,,,,,,,, +云南升麻,Cimicifuga yunnanensis,FLPH Tibet Expedition,12-1379,20120916,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977601.jpg,,,,,,,,,, +云南升麻,Cimicifuga yunnanensis,横断山队植被组,4372,19830703,云南省,3650,阴坡Salir 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962040.jpg,,,,,,,,,, +云南升麻,Cimicifuga yunnanensis,D.E.Boufford et al.,32688,20050709,四川省,3800~4000,Thickets and forest of Mixed shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859645.jpg,,,,,,,,,, +钝叶桂,Cinnamomum bejolghota,"S.K.Wu,Y.M.Shui et al.",380,19951030,云南省,1300~840,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01859954.jpg,,,,,,,,,, +钝叶桂,Cinnamomum bejolghota,S.Noshiro et al.,9840067,19980825,,1790,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01314091.jpg,,,,,,,,,, +钝叶桂,Cinnamomum bejolghota,王小溪,276,20040405,湖南省,440,山腰,红壤,,有花无果,https://image.cvh.ac.cn/files/l/PE/00698551.jpg,,,,,,,,,, +聚花桂,Cinnamomum contractum,西藏中草药普查队,3440,19720617,西藏自治区,2300,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00189694.jpg,,,,,,,,,, +聚花桂,Cinnamomum contractum,毛品一,872,19520219,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00189607.jpg,,,,,,,,,, +云南樟,Cinnamomum glanduliferum,中苏队,9170,19570405,云南省,,阳处山坡(缓)疏林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090520.jpg,,,,,,,,,, +云南樟,Cinnamomum glanduliferum,,124,19730621,西藏自治区,1600,山谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046622.jpg,,,,,,,,,, +云南樟,Cinnamomum glanduliferum,,s.n.,19731000,广西壮族自治区,300,石灰岩丘陵,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986677.jpg,,,,,,,,,, +大叶桂,Cinnamomum iners,王洪,7904,20050123,云南省,1000,公路边次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01520017.jpg,,,,,,,,,, +大叶桂,Cinnamomum iners,J.F.Maxwell ,96-655,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00189793.jpg,,,,,,,,,, +大叶桂,Cinnamomum iners,青藏队,74-4600,19740829,西藏自治区,1000,山坡阔叶林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/00189781.jpg,,,,,,,,,, +香桂,Cinnamomum subavenium,Sheng-you Lu,,20090518,台湾省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044188.jpg,,,,,,,,,, +香桂,Cinnamomum subavenium,罗林波,338,19941001,湖南省,1200,阳坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01901108.jpg,,,,,,,,,, +香桂,Cinnamomum subavenium,荔波队,81-4-0045,19810710,贵州省,650,阴处 山坡 疏密中下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01605781.jpg,,,,,,,,,, +柴桂,Cinnamomum tamala,,244,19730627,西藏自治区,2100,常绿阔叶林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046621.jpg,,,,,,,,,, +柴桂,Cinnamomum tamala,"董洪进,王泽欢,胡国雄等",LC-Z-075,20130713,云南省,1500,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044361.jpg,,,,,,,,,, +柴桂,Cinnamomum tamala,236任务组,2,19710613,四川省,1100,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01534775.jpg,,,,,,,,,, +川桂,Cinnamomum wilsonii,川黔队,1311,19560831,贵州省,1270,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083243.jpg,,,,,,,,,, +川桂,Cinnamomum wilsonii,"张树仁,陈淑荣,朗校安等",2217,20140622,四川省,1252~1800,路边 山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021919.jpg,,,,,,,,,, +川桂,Cinnamomum wilsonii,,Q1(6)1,19620813,广西壮族自治区,850,落叶阔叶林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986693.jpg,,,,,,,,,, +浆果楝,Cipadessa baccifera,林秦文,2013-138,20130531,云南省,1600~1750,沟谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044952.jpg,,,,,,,,,, +浆果楝,Cipadessa baccifera,"M.Suzuki,N.Acharya,N.Fujii etc.",9480004,19940714,,1280~630,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02038636.jpg,,,,,,,,,, +浆果楝,Cipadessa baccifera,覃海宁等,2298,19981105,广西壮族自治区,,山地 山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998641.jpg,,,,,,,,,, +高山露珠草(原亚种),Circaea alpina subsp. alpina,王正平,333,19570708,陕西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/120224035.jpg,,,,,,,,,, +高山露珠草(原亚种),Circaea alpina subsp. alpina,仲崇俊等,,19560700,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/120224034.jpg,,,,,,,,,, +高山露珠草,Circaea alpina subsp. alpina,吴磊、刘昂、李雄、刘文剑,10489,20200525,湖南,1700,山坡密林,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI069917.jpg,,,,,,,,,, +,Circaea alpina subsp. angustifolia,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",500,20020824,云南省,2550,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100968.jpg,,,,,,,,,, +,Circaea alpina subsp. angustifolia,青藏队,4823,19810813,四川省,3200~3300,山沟 水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129236.jpg,,,,,,,,,, +露珠草,Circaea cordata,巴山采集队,583,20080709,重庆市,1300,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057286.jpg,,,,,,,,,, +露珠草,Circaea cordata,徐连升,X140022,20140809,吉林省,1876,阳坡、林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031564.jpg,,,,,,,,,, +露珠草,Circaea cordata,J.Wen,9340,20060807,湖南省,1246,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922615.jpg,,,,,,,,,, +秃梗露珠草,Circaea glabrescens,J.Wen,8028,20040825,甘肃省,1610,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922614.jpg,,,,,,,,,, +秃梗露珠草,Circaea glabrescens,Wang Zhong-tao etc.,870422,19870820,四川省,800,Grows in moist place by detchside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597243.jpg,,,,,,,,,, +秃梗露珠草,Circaea glabrescens,林亲众,2002101,20020809,湖南省,500,路旁溪旁林旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01584752.jpg,,,,,,,,,, +南方露珠草,Circaea mollis,梁同军,3,20150615,江西省,1500,生于湿润草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063829.jpg,,,,,,,,,, +南方露珠草,Circaea mollis,巴山采集队,2802,20080728,重庆市,1300,沟边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057288.jpg,,,,,,,,,, +南方露珠草,Circaea mollis,Taku Miyazaki,808514,20080811,,280~320,,,,https://image.cvh.ac.cn/files/l/PE/02053819.jpg,,,,,,,,,, +匍匐露珠草,Circaea repens,PE西藏队,PE5749,20170903,西藏自治区,1683~2900,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330145.jpg,,,,,,,,,, +匍匐露珠草,Circaea repens,青藏队,9693,19820827,云南省,1800,山坡 常绿阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129288.jpg,,,,,,,,,, +匍匐露珠草,Circaea repens,"M.Suzuki,T.Maeda,N.Naruhashi,R.Watanabe et al.",8881859,19880913,,2270~2650,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01069970.jpg,,,,,,,,,, +星叶草,Circaeaster agrestis,PE西藏队,PE5278,20170826,西藏自治区,4270,林下灌层,,无花无果,https://image.cvh.ac.cn/files/l/PE/02309430.jpg,,,,,,,,,, +星叶草,Circaeaster agrestis,青藏队,13787,19830908,四川省,3900,山坡Abces林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962069.jpg,,,,,,,,,, +星叶草,Circaeaster agrestis,"李良千,王忠涛,杜玉芬,卫然",296,20110915,甘肃省,3400,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914071.jpg,,,,,,,,,, +南蓟,Cirsium argyracanthum,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20967,20200717,西藏,3639,湿地边,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1504755.jpg,,,,,,,,,, +,Cirsium arvense var. integrifolium,徐连升,X140117,20140821,黑龙江省,158,林下湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084704.jpg,,,,,,,,,, +,Cirsium arvense var. integrifolium,石硕,SZ3547,20140714,河北省,930,路边草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064029.jpg,,,,,,,,,, +,Cirsium arvense var. integrifolium,"陈又生,袁慊",141552,20140815,新疆维吾尔自治区,1184,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039959.jpg,,,,,,,,,, +,Cirsium botryodes,安明态,223,20030428,贵州省,1320,山坡草丛及路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235300.jpg,,,,,,,,,, +,Cirsium botryodes,红水河植物考察队,2229,19890617,云南省,2500,石灰岩,杜鹃到高山栎灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997367.jpg,,,,,,,,,, +,Cirsium botryodes,红水河植物考察队,1144,19890509,广西壮族自治区,1400,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997368.jpg,,,,,,,,,, +两面刺,Cirsium chlorolepis,蓝顺彬,89,19840813,云南省,2800,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01836421.jpg,,,,,,,,,, +两面刺,Cirsium chlorolepis,西藏中草药普查队,1575,19720827,西藏自治区,3500,公路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00455488.jpg,,,,,,,,,, +贡山蓟,Cirsium eriophoroides,PE西藏队,PE5825,20170903,西藏自治区,3401,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02303521.jpg,,,,,,,,,, +贡山蓟,Cirsium eriophoroides,"Jin Xh,Wang LS,Wang Q et al.",ST1509,20130730,云南省,3100~3200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02002483.jpg,,,,,,,,,, +莲座蓟,Cirsium esculentum,"陈又生,袁慊",141545,20140815,新疆维吾尔自治区,1460,河边湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084693.jpg,,,,,,,,,, +莲座蓟,Cirsium esculentum,"陈又生,袁慊,徐连升等",140688,20140721,内蒙古自治区,1200,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039961.jpg,,,,,,,,,, +等苞蓟,Cirsium fargesii,"周洪富,粟和毅",129897,19640802,重庆市,2000,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836415.jpg,,,,,,,,,, +等苞蓟,Cirsium fargesii,鄂神农架植考队,32612,19760822,湖北省,1320,山坡 公路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01039707.jpg,,,,,,,,,, +等苞蓟,Cirsium fargesii,李馨,73602,19570715,四川省,2440,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607938.jpg,,,,,,,,,, +无毛蓟,Cirsium glabrifolium,西藏中草药普查队,1474,19720824,西藏自治区,2600~2700,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607936.jpg,,,,,,,,,, +无毛蓟,Cirsium glabrifolium,关克俭,3833,19570828,新疆维吾尔自治区,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00455583.jpg,,,,,,,,,, +,Cirsium glabrifolium,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13868,20160910,新疆,444,山谷水沟边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445767.jpg,,,,,,,,,, +骆骑,Cirsium handelii,西藏队,91,19751105,西藏自治区,2000,阴处北坡疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087770.jpg,,,,,,,,,, +骆骑,Cirsium handelii,"张树仁,陈淑荣,朗校安等",1900,20140613,四川省,1400~1600,山坡 林下 沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021175.jpg,,,,,,,,,, +刺苞蓟,Cirsium henryi,"张树仁,陈淑荣,朗校安等",2166,20140621,四川省,1901~2400,路边 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021895.jpg,,,,,,,,,, +刺苞蓟,Cirsium henryi,236-6队,2657,19760709,湖北省,1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01565822.jpg,,,,,,,,,, +披裂蓟,Cirsium interpositum,"覃海宁,董仕勇,康云等",27,20010807,西藏自治区,3700,路旁溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776764.jpg,,,,,,,,,, +披裂蓟,Cirsium interpositum,青藏队,9837,19820803,云南省,1900~2100,山地 常绿落叶混交林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01190693.jpg,,,,,,,,,, +蓟,Cirsium japonicum,胡忠辉,101,20010627,湖南省,800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234929.jpg,,,,,,,,,, +蓟,Cirsium japonicum,"谭策铭,谢国文",95371-A,19950528,江西省,700,山谷林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233575.jpg,,,,,,,,,, +蓟,Cirsium japonicum,"朱大海,王永,尚涛",2114,20031004,四川省,800,山坡下部林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114902.jpg,,,,,,,,,, +覆瓦蓟,Cirsium leducii,黔南队,3673,19590827,贵州省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/HGAS/027919.jpg,,,,,,,,,, +魁蓟,Cirsium leo,傅坤俊,17632,19780727,陕西省,1800,山坡灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235880.jpg,,,,,,,,,, +魁蓟,Cirsium leo,"石硕,张涛",SZ4003,20140902,河北省,1266,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064069.jpg,,,,,,,,,, +魁蓟,Cirsium leo,段长虹,Dch0294,20140713,山西省,2204,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035968.jpg,,,,,,,,,, +丽江蓟,Cirsium lidjiangense,"陈又生,王泽欢",9081,20090723,四川省,2600~3300,多石草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053229.jpg,,,,,,,,,, +丽江蓟,Cirsium lidjiangense,"D.E.Boufford,J.F.Harber & X.H.Li",43522,20130909,云南省,2850~2950,"Open slopes between Pinus plantations,mostly herbs.On moist,steep slopes in dark,rich soil in open on slope and in erosion channels",,有花无果,https://image.cvh.ac.cn/files/l/PE/01901920.jpg,,,,,,,,,, +川蓟,Cirsium periacanthaceum,D.E.Boufford et al,38430,20070728,四川省,2900~3000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01912897.jpg,,,,,,,,,, +川蓟,Cirsium periacanthaceum,,76(21),19810810,云南省,3260,宽谷草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00552529.jpg,,,,,,,,,, +新疆蓟,Cirsium semenowii,石瑞乾,DPS2013114011,20130604,贵州省,1200,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0011444.jpg,,,,,,,,,, +牛口刺,Cirsium shansiense,FLPH Sichuan Expedition,151103,20150000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084700.jpg,,,,,,,,,, +牛口刺,Cirsium shansiense,尹志坚,979,20090712,云南省,2100,Roadsides,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885389.jpg,,,,,,,,,, +葵花大蓟,Cirsium souliei,FLPH Sichuan Expedition,152590,20150910,四川省,3820,meadows,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084699.jpg,,,,,,,,,, +葵花大蓟,Cirsium souliei,藏药队,1292,19720811,青海省,3600,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836668.jpg,,,,,,,,,, +葵花大蓟,Cirsium souliei,王舒,3805,19610831,西藏自治区,4400,河滩坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836606.jpg,,,,,,,,,, +钻苞蓟,Cirsium subulariforme,X.H.Jin et al.,DLJ-ET 1468,20080710,西藏自治区,,conifer forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908028.jpg,,,,,,,,,, +钻苞蓟,Cirsium subulariforme,T.T.Yu,19573,19370802,云南省,2200~2500,mt.slope open grassy place,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607964.jpg,,,,,,,,,, +苞叶蓟,Cirsium verutum,PE西藏队,PE5783,20170903,西藏自治区,3401,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891195.jpg,,,,,,,,,, +苞叶蓟,Cirsium verutum,Koji Yonekura,6788,20010516,,2280,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01523822.jpg,,,,,,,,,, +革叶藤菊,Cissampelopsis corifolia,覃海宁等,2541,19981108,广西壮族自治区,950,山坡,石灰岩石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997358.jpg,,,,,,,,,, +革叶藤菊,Cissampelopsis corifolia,Hiroshige Koyama et al.,T-40000,19841208,,2470,Edge of and in hill evergreen forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01912524.jpg,,,,,,,,,, +革叶藤菊,Cissampelopsis corifolia,Shui Yu-min,11197,19990910,云南省,1920,on tree trunk,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882299.jpg,,,,,,,,,, +岩穴藤菊,Cissampelopsis spelaeicola,覃海宁等,2465,19981107,广西壮族自治区,1200,石灰岩石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997356.jpg,,,,,,,,,, +岩穴藤菊,Cissampelopsis spelaeicola,K.M.Feng,13373,19471118,云南省,1000~1200,in mixed forests on rock mt,,有花有果,https://image.cvh.ac.cn/files/l/PE/00998376.jpg,,,,,,,,,, +藤菊,Cissampelopsis volubilis,陈照宙,53263,19631031,广西壮族自治区,300,低山地 水旁 山谷 肥土 湿土 散生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919355.jpg,,,,,,,,,, +藤菊,Cissampelopsis volubilis,邓云飞,11904,19971015,湖南省,1020,沟边生于岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834974.jpg,,,,,,,,,, +藤菊,Cissampelopsis volubilis,王印政等,4370,19981020,云南省,1600,山地山坡石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802182.jpg,,,,,,,,,, +苦郎藤,Cissus assamica,北京队,895335,19890531,广西壮族自治区,400,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999679.jpg,,,,,,,,,, +苦郎藤,Cissus assamica,王印政等,4690,19981024,云南省,1550,山地山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802263.jpg,,,,,,,,,, +苦郎藤,Cissus assamica,中越考察队,1780,19650125,,150,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01679331.jpg,,,,,,,,,, +盐生肉苁蓉,Cistanche salsa,,9651,,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01542451.jpg,,,,,,,,,, +盐生肉苁蓉,Cistanche salsa,普查队,37,19590511,内蒙古自治区,,山坡脚下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01542445.jpg,,,,,,,,,, +盐生肉苁蓉,Cistanche salsa,杨赵平,周禧琳,贺冰等,LiZJ1288,20100810,新疆,2880,山间草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1385085.jpg,,,,,,,,,, +来檬,Citrus aurantiifolia,杨泽永,1276,1983,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI024148.jpg,,,,,,,,,, +来檬,Citrus aurantiifolia,曹铁如,艮074,19810513,,800,陡岩边;坡向:东,阴湿,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI024150.jpg,,,,,,,,,, +枸橼,Citrus medica,,2578,19740915,西藏自治区,950,村旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02248437.jpg,,,,,,,,,, +枸橼,Citrus medica,李庆华,339,20011121,云南省,,百果园内路边干燥,,无花有果,https://image.cvh.ac.cn/files/l/PE/02248428.jpg,,,,,,,,,, +枸橼,Citrus medica,海南岛,249,19581017,海南省,350,阳处疏林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/02248426.jpg,,,,,,,,,, +酸橙,Citrus × aurantium,南岭区系组,1220,19850824,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0384209.jpg,,,,,,,,,, +酸橙,Citrus × aurantium,万秀华,247,19871112,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0384238.jpg,,,,,,,,,, +克拉莎,Cladium jamaicence subsp. chinense,张代贵、张代富,LS20170416019_0019,20170416,湖南,285,峡谷草丛中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU46276.jpg,,,,,,,,,, +克拉莎,Cladium jamaicence subsp. chinense,曾宪锋,ZXF52297,20190922,福建,6,河边,草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0047436.jpg,,,,,,,,,, +,Cladrastis delavayi,鄂神农架队,34046,19770823,湖北省,1250,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932598.jpg,,,,,,,,,, +,Cladrastis delavayi,58年秦岭队,351,19580909,陕西省,,半阴处 路旁 山坡密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01467359.jpg,,,,,,,,,, +,Cladrastis delavayi,蒋兴麟,s.n.,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01439650.jpg,,,,,,,,,, +,Cleidion spiciflorum,"税玉民,陈文红,盛家舒",30114,20021002,云南省,,热带季节雨林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239674.jpg,,,,,,,,,, +,Cleidion spiciflorum,A.Marcan,758,19220426,,200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01693117.jpg,,,,,,,,,, +,Cleisostoma linearilobatum,HK kadoorie PT,670,20020518,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866960.jpg,,,,,,,,,, +隔距兰,Cleisostoma linearilobatum,周仕顺,14848,20180109,云南,1200,石灰山林中,草本,无花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026453.jpg,,,,,,,,,, +西藏隔距兰,Cleisostoma medogense,李渤生 程树志,4933,19830530,西藏自治区,850,半常绿雨林中时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00850206.jpg,,,,,,,,,, +大序隔距兰,Cleisostoma paniculatum,HK kadoorie PT,3458,20020430,云南省,1100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02097611.jpg,,,,,,,,,, +大序隔距兰,Cleisostoma paniculatum,北京队,890634,19890430,广西壮族自治区,800,山顶,附生大树干上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01997858.jpg,,,,,,,,,, +大序隔距兰,Cleisostoma paniculatum,金效华,209,20000617,贵州省,1140,石灰山,,无花无果,https://image.cvh.ac.cn/files/l/PE/01866763.jpg,,,,,,,,,, +欧旋花,Cleistogenes hackelii var. hackelii,刘澳,BJTC009747,20190701,北京市,977,山坡林地,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC009747.jpg,,,,,,,,,, +朝阳隐子草(原变种),Cleistogenes hackelii var. hackelii,H.Migo,s.n.,19320925,,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00621689.jpg,,,,,,,,,, +小尖隐子草,Cleistogenes mucronata,郎学忠,237,19560905,内蒙古自治区,,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01600762.jpg,,,,,,,,,, +小尖隐子草,Cleistogenes mucronata,王光正,287,19511023,河北省,,山坡上生专普遍,,有花有果,https://image.cvh.ac.cn/files/l/PE/00403326.jpg,,,,,,,,,, +小尖隐子草,Cleistogenes mucronata,钟补求,8738,19580827,甘肃省,1800,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00403327.jpg,,,,,,,,,, +,Cleistogenes pilipes,汤宗孝,1513,19830726,四川省,1800,干热河谷山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487217.jpg,,,,,,,,,, +无芒隐子草,Cleistogenes songorica,于兆英,2492,19810911,宁夏回族自治区,2300,沟谷石缝中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950902.jpg,,,,,,,,,, +无芒隐子草,Cleistogenes songorica,孔令韶等,53,19840729,内蒙古自治区,,复沙滩地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805099.jpg,,,,,,,,,, +无芒隐子草,Cleistogenes songorica,关克俭,5272,19571001,新疆维吾尔自治区,,荒漠,,有花有果,https://image.cvh.ac.cn/files/l/PE/00403412.jpg,,,,,,,,,, +糙隐子草,Cleistogenes squarrosa,陈全胜,CF-0009-251,20170826,内蒙古自治区,2264,沙质草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246674.jpg,,,,,,,,,, +糙隐子草,Cleistogenes squarrosa,黄河队,8224,19560823,陕西省,1700,峁顶附近,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094619.jpg,,,,,,,,,, +,Clematis acuminata,"程树志,李渤生",3497,19830119,西藏自治区,1680,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494612.jpg,,,,,,,,,, +尾尖铁线莲,Clematis acuminata,刘慎谔,17760,19401216,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00934686.jpg,,,,,,,,,, +,Clematis acuminata,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003123,20171208,,2255,Roadside,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445881.jpg,,,,,,,,,, +芹叶铁线莲,Clematis aethusifolia,"陈又生,袁慊,徐连升等",141111,20140731,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036366.jpg,,,,,,,,,, +芹叶铁线莲,Clematis aethusifolia,"石硕,祝东立,祝振清",SZ3711,20140806,河北省,1248,石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02030970.jpg,,,,,,,,,, +芹叶铁线莲,Clematis aethusifolia,植物园引种驯化组,HR021,20080702,北京市,889,田埂边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980812.jpg,,,,,,,,,, +甘川铁线莲,Clematis akebioides,PE西藏队,PE6114,20170907,西藏自治区,4398,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309346.jpg,,,,,,,,,, +甘川铁线莲,Clematis akebioides,刘继孟,1630,19570710,山西省,1500,旱田中、半阳处、山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993512.jpg,,,,,,,,,, +甘川铁线莲,Clematis akebioides,孙学刚等,6249,20060804,甘肃省,2160,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980814.jpg,,,,,,,,,, +互叶铁线莲,Clematis alternata,PE-西藏队,242,20100806,西藏自治区,2433,山坡林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01953479.jpg,,,,,,,,,, +,Clematis apiifolia var. argentilucida,巴山采集队,6154,20120708,四川省,700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059763.jpg,,,,,,,,,, +,Clematis apiifolia var. argentilucida,"张志耘,李良千等",2014-052,20140517,江西省,1150,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02015022.jpg,,,,,,,,,, +,Clematis apiifolia var. argentilucida,,毅6,1010,湖南省,,石灰岩山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815811.jpg,,,,,,,,,, +丽江大木通,Clematis argentilucida var. likiangensis,H.T.Tsai,57313,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0084792.jpg,,,,,,,,,, +丽江铁线莲,Clematis argentilucida var. likiangensis,俞德浚,8488,19370605,云南,3000,山坡林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/274228.jpg,,,,,,,,,, +小木通,Clematis armandii,巴山采集队,6157,20120708,四川省,700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059764.jpg,,,,,,,,,, +小木通,Clematis armandii,广西队,509,19550621,广西壮族自治区,,山坡疏林中灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01986229.jpg,,,,,,,,,, +短尾铁线莲,Clematis brevicaudata,周口店考察队,188,20080927,北京市,140,草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112155.jpg,,,,,,,,,, +短尾铁线莲,Clematis brevicaudata,Shaulskaya N.A.,,19740828,,,among the shrubs,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109149.jpg,,,,,,,,,, +短尾铁线莲,Clematis brevicaudata,"关克俭,王文采",2819,19630902,四川省,1400,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068182.jpg,,,,,,,,,, +毛木通,Clematis buchananiana,PE西藏队,PE5901,20170905,西藏自治区,3020~3500,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309350.jpg,,,,,,,,,, +毛木通,Clematis buchananiana,泛喜马拉雅植物志巴基斯坦采集队,1828,20120916,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005876.jpg,,,,,,,,,, +毛木通,Clematis buchananiana,覃德海等,79930,19861111,广西壮族自治区,1270,石灰山山坡林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01986233.jpg,,,,,,,,,, +尾尖铁线莲,Clematis caudigera,李勃生/B.S.Li,11741,19880625,新疆维吾尔自治区,3700,山坡 沟谷中 石内局部成方,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029899.jpg,,,,,,,,,, +金毛铁线莲,Clematis chrysocoma,林秦文,2013-254,20130602,云南省,2300,寺庙边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039796.jpg,,,,,,,,,, +金毛铁线莲,Clematis chrysocoma,刘建生,7674,19780720,四川省,2550,荒坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801752.jpg,,,,,,,,,, +金毛铁线莲,Clematis chrysocoma,G.Forrest,26544,19250500,,3333,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01783196.jpg,,,,,,,,,, +,Clematis connata var. trullifera,罗毅波,100,19950826,四川省,2100,沟边 岩石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01815711.jpg,,,,,,,,,, +,Clematis connata var. trullifera,K.M.Feng,10356,19461006,云南省,,mixed forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/00418741.jpg,,,,,,,,,, +裂银叶铁线莲,Clematis delavayi var. limprichtii,D.E.Boufford et al.,36249,20060810,四川省,3120,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01459448.jpg,,,,,,,,,, +裂银叶铁线莲,Clematis delavayi var. limprichtii,滇西北金沙江队,6869,19630915,云南省,2200,山坡阳处草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00402672.jpg,,,,,,,,,, +狭叶滑叶藤,Clematis fasciculiflora var. angustifolia,滇西北金沙江队,4532,19630702,云南省,2300,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00381646.jpg,,,,,,,,,, +狭叶滑叶藤,Clematis fasciculiflora var. angustifolia,武素功,3263,19590925,四川省,3350~2800,松栎林下,,有果无花,https://image.cvh.ac.cn/files/l/KUN/284284.jpg,,,,,,,,,, +狭叶滑叶藤,Clematis fasciculiflora var. angustifolia,俞德浚,5284,19370506,云南,2600,upon bushes,,有花无果,https://image.cvh.ac.cn/files/l/KUN/274258.jpg,,,,,,,,,, +扬子铁线莲,Clematis ganpiniana var. ganpiniana,张代贵,zdg7207,20120809,湖北省,492.24,山坡林缘,落叶藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU04949.jpg,,,,,,,,,, +扬子铁线莲,Clematis ganpiniana var. ganpiniana,甘啟良,GanQL1690,20190830,湖北,228,,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489725.jpg,,,,,,,,,, +粉绿铁线莲,Clematis glauca,中苏队,49,19600705,内蒙古自治区,,湖边沙丘间地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078776.jpg,,,,,,,,,, +粉绿铁线莲,Clematis glauca,"陈又生,袁慊",141542,20140815,新疆维吾尔自治区,1430,荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039454.jpg,,,,,,,,,, +粉绿铁线莲,Clematis glauca,L.Ivanina et al.,394,19780717,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900818.jpg,,,,,,,,,, +小蓑衣藤,Clematis gouriana,780工程,943,19781212,云南省,1200,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046865.jpg,,,,,,,,,, +小蓑衣藤,Clematis gouriana,广西调查队,3793,19530927,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01986262.jpg,,,,,,,,,, +小蓑衣藤,Clematis gouriana,Pi-Fong Lu,18940,20090927,台湾省,2000,开阔林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898900.jpg,,,,,,,,,, +黄毛铁线莲,Clematis grewiiflora,"姜恕,赵从福",393,19671104,西藏自治区,1800,灌丛干热河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00426785.jpg,,,,,,,,,, +黄毛铁线莲,Clematis grewiiflora,陈晓澄等,7068,20140816,西藏,4240,矮灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023299.jpg,,,,,,,,,, +黄毛铁线莲,Clematis grewiiflora,曾宪锋,ZXF43613,20181212,福建,590,山地林缘,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0038874.jpg,,,,,,,,,, +黄花铁线莲,Clematis intricata,段长虹,Dch0150,20140630,山西省,1554,土石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039514.jpg,,,,,,,,,, +黄花铁线莲,Clematis intricata,"朱大海,张超,李小杰",4418,20070808,四川省,2450,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993616.jpg,,,,,,,,,, +,Clematis jialasaensis,PE-古蔺考察队,89,20100529,四川省,850~930,林缘沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01864435.jpg,,,,,,,,,, +加拉萨铁线莲,Clematis jialasaensis,倪志诚/Ni Zhi-cheng,73,19830418,西藏自治区,2100,河谷 常绿阔叶林缘,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029908.jpg,,,,,,,,,, +,Clematis jialasaensis,"Ducloux, F.",2021,1901/4/15,,,,,,https://image.cvh.ac.cn/files/l/P/P00130287.jpg,,,,,,,,,, +毛蕊铁线莲,Clematis lasiandra,赵鑫磊,,20110928,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109087.jpg,,,,,,,,,, +毛蕊铁线莲,Clematis lasiandra,巴山采集队,3189,20100730,四川省,1811,水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059112.jpg,,,,,,,,,, +毛蕊铁线莲,Clematis lasiandra,张彩飞,1750,20081109,湖南省,800,山谷溪边开阔,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036894.jpg,,,,,,,,,, +长瓣铁线莲,Clematis macropetala,李才贵,192,19840704,山西省,1800,落叶松林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081440.jpg,,,,,,,,,, +长瓣铁线莲,Clematis macropetala,"王忠涛,曲上,徐连升",140276,20140614,河北省,1679,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035242.jpg,,,,,,,,,, +长瓣铁线莲,Clematis macropetala,赤峰采集队,2-082,20080728,内蒙古自治区,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005886.jpg,,,,,,,,,, +绣球藤原变种,Clematis montana var. montana,谢爱芳,央宗,LCJ-013,20100531,云南省,3348,山杨/中甸山楂/高山柳,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 004762.jpg,,,,,,,,,, +合苞铁线莲,Clematis napaulensis,钟补求,6216,19531224,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00409966.jpg,,,,,,,,,, +合苞铁线莲,Clematis napaulensis,李鸣冈,2897,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00409964.jpg,,,,,,,,,, +怒江铁线莲,Clematis nukiangensis,丁志遵,宋国杰等,187,19631216,云南省,0,灌木丛中(山沟阴坡),藤本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00181623.jpg,,,,,,,,,, +帕米尔铁线莲,Clematis pamiralaica,新疆采集队,698,1978/6/28,新疆维吾尔族自治区,3400,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0332994.jpg,,,,,,,,,, +裂叶铁线莲,Clematis parviloba,,Q1,19730808,广西壮族自治区,700,石灰岩山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01986244.jpg,,,,,,,,,, +裂叶铁线莲,Clematis parviloba,王强,XZ016,20100830,四川省,1500,路旁灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913331.jpg,,,,,,,,,, +裂叶铁线莲,Clematis parviloba,"李渤生,倪志诚,程树志",6971,19830829,西藏自治区,1500,路边丛林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494177.jpg,,,,,,,,,, +毛果铁线莲,Clematis peterae var. trichocarpa,张寿洲等,818,20130925,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990278.jpg,,,,,,,,,, +毛果铁线莲,Clematis peterae var. trichocarpa,"李良千,王忠涛,杜玉芬,卫然",GX010,20110902,甘肃省,1500,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01914065.jpg,,,,,,,,,, +毛果铁线莲,Clematis peterae var. trichocarpa,三峡考察队,3678,20090910,重庆市,272,河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868171.jpg,,,,,,,,,, +片马铁线莲,Clematis pianmaensis,湘西植物调查队,11094,19800920,云南省,2200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934739.jpg,,,,,,,,,, +片马铁线莲,Clematis pianmaensis,荔波队,81-6-0012,19810709,贵州省,600,"路旁,山坡,灌木丛中",,有花无果,https://image.cvh.ac.cn/files/l/PE/00419772.jpg,,,,,,,,,, +多毛须蕊铁线莲,Clematis pogonandra var. pilosula,T.T.Yu,2381,19330000,四川省,0,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00182065.jpg,,,,,,,,,, +多毛须蕊铁线莲,Clematis pogonandra var. pilosula,Wils.,2469,,四川; SZECHWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00053664.jpg,,,,,,,,,, +美花铁线莲,Clematis potaninii,"陈伟烈,陈家瑞,郭柯等",7417,19840708,四川省,3250,冷云杉林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046777.jpg,,,,,,,,,, +美花铁线莲,Clematis potaninii,秦岭队,204,19580704,陕西省,2620,西南坡、阳处灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993579.jpg,,,,,,,,,, +西南铁线莲,Clematis pseudopogonandra,罗建等,LuoJian-XZ-0935,20091010,西藏自治区,3492,林缘灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898401.jpg,,,,,,,,,, +西南铁线莲,Clematis pseudopogonandra,"关克俭,王文采等",806,19630720,四川省,3500,山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01573272.jpg,,,,,,,,,, +毛茛铁线莲,Clematis ranunculoides,"H.Li,S.X.Yang,R.Li etc.",975,20021108,云南省,2520,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090834.jpg,,,,,,,,,, +毛茛铁线莲,Clematis ranunculoides,赵佐成,3776,19931018,四川省,2100,林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015031.jpg,,,,,,,,,, +长花铁线莲,Clematis rehderiana,PE西藏队,PE5464,20170831,西藏自治区,3792,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309234.jpg,,,,,,,,,, +长花铁线莲,Clematis rehderiana,D.E.Boufford et al.,43177,20130822,四川省,3325,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062510.jpg,,,,,,,,,, +长花铁线莲,Clematis rehderiana,北京所横断山队,3388,19810821,云南省,3100~3500,高山栎林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046845.jpg,,,,,,,,,, +西伯利亚铁线莲,Clematis sibirica,王忠涛等,32,20070620,新疆维吾尔自治区,1950,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980864.jpg,,,,,,,,,, +西伯利亚铁线莲,Clematis sibirica,V.Grubov et al.,866,19760730,,750,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01901089.jpg,,,,,,,,,, +西藏铁线莲,Clematis tenuifolia,"唐宇丹,林秦文",2010-164,20100927,西藏自治区,3721,羊湖背面山坡 干燥 沙石 全光照,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039571.jpg,,,,,,,,,, +西藏铁线莲,Clematis tenuifolia,"郎楷永,李良千,费勇",991,19820804,四川省,3550,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01108273.jpg,,,,,,,,,, +西藏铁线莲,Clematis tenuifolia,青藏队,11168,19821009,云南省,2500,山坡 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01108271.jpg,,,,,,,,,, +福贡铁线莲,Clematis tsaii,"李渤生,程树志",1632,19821102,西藏自治区,1560,村边次生栎树上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494355.jpg,,,,,,,,,, +福贡铁线莲,Clematis tsaii,M.K.Li,998,19391110,云南省,2000,on forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/00387876.jpg,,,,,,,,,, +福贡铁线莲,Clematis tsaii,张廷,蔡杰,袁明等,09CS1597,20090925,西藏,1537,河谷山坡,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232410.jpg,,,,,,,,,, +尾叶铁线莲,Clematis urophylla,"杨红梅,朗校安等",1590,20140422,四川省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021147.jpg,,,,,,,,,, +尾叶铁线莲,Clematis urophylla,罗林波,A39,19951108,湖南省,1200,山谷溪旁阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901420.jpg,,,,,,,,,, +尾叶铁线莲,Clematis urophylla,巴山采集队,2055,20080719,重庆市,2175,山脊,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850756.jpg,,,,,,,,,, +丽叶铁线莲,Clematis venusta,K.M.Feng,4134,19400526,云南省,2700,沟边 灌丛中,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934752.jpg,,,,,,,,,, +丽叶铁线莲,Clematis venusta,黄楷,黄治平,罗正远,朱树平,刘维馨,309,1930/6/4,四川省,,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0316520.jpg,,,,,,,,,, +,Clematis viridis,李馨/S.Li,71434,19570611,四川省,2750,,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00934753.jpg,,,,,,,,,, +,Clematis viridis,青藏队植被组,9842,19760827,西藏自治区,3100,阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00387534.jpg,,,,,,,,,, +俞氏铁线莲,Clematis yui,Gaoligong Shan Biodiversity Survey,21628,20041028,云南省,1720,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01659258.jpg,,,,,,,,,, +俞氏铁线莲,Clematis yui,W.L.Cheng,1283,19941104,西藏自治区,2150,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00183199.jpg,,,,,,,,,, +,Clematis yui,T. T. Yu,21007,1938/11/9,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00057568.jpg,,,,,,,,,, +云南铁线莲,Clematis yunnanensis,"H.Li,S.X.Yang,R.Li etc.",1027,20021110,云南省,2570,林(中)下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109140.jpg,,,,,,,,,, +云南铁线莲,Clematis yunnanensis,"李渤生,程树志",3475,19830114,西藏自治区,960,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073082.jpg,,,,,,,,,, +扎达铁线莲,Clematis zandaensis,青藏队 植被组,12914,19760630,西藏自治区,3500,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00387571.jpg,,,,,,,,,, +扎达铁线莲,Clematis zandaensis,青藏队,76-8160,19760702,西藏,,山坡林下,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0681888.jpg,,,,,,,,,, +尖叶藤山柳,Clematoclethra faberi,"秦,王,田,段",22,19550929,陕西省,2800,山谷 阴处 疏林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01471475.jpg,,,,,,,,,, +尖叶藤山柳,Clematoclethra faberi,方文培,2193,19280713,四川省,1200,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0240409.jpg,,,,,,,,,, +尖叶藤山柳,Clematoclethra faberi,,5745,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0240414.jpg,,,,,,,,,, +藤山柳,Clematoclethra lasioclada,朱大海,3830,20070528,四川省,1600,山谷沟边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02225241.jpg,,,,,,,,,, +藤山柳,Clematoclethra lasioclada,,159,18200724,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02225227.jpg,,,,,,,,,, +藤山柳,Clematoclethra lasioclada,石世贵,S-W-0082,19960615,湖北省,1300,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02225228.jpg,,,,,,,,,, +,Clematoclethra scandens subsp. actinidioides,J.I.Jeon et al.,SI1494,20100812,四川省,2006,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932312.jpg,,,,,,,,,, +,Clematoclethra scandens subsp. actinidioides,植物地理调查队,29,19780626,重庆市,1570,沟边 山坡 次生林 山路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01375033.jpg,,,,,,,,,, +藤山柳(原亚种),Clematoclethra scandens subsp. scandens,张挺,刘成,马梁梁,付小刚,20CS19522,20200707,四川,2463,箭竹林,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1504640.jpg,,,,,,,,,, +,Cleome yunnanensis,"Forrest, George",13762,17-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00217923.jpg,,,,,,,,,, +苞花大青,Clerodendrum bracteatum,税玉民,3654,19930828,云南省,330,石块生地 密林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02243693.jpg,,,,,,,,,, +苞花大青,Clerodendrum bracteatum,李渤生 程树志,3955,19830408,西藏自治区,1000,半常绿雨林中常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02243691.jpg,,,,,,,,,, +臭牡丹,Clerodendrum bungei,"刘正宇,张军等",RQHZ05730,20151013,四川省,914,灌丛黄壤山地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244513.jpg,,,,,,,,,, +臭牡丹,Clerodendrum bungei,贵州队 张志松 张永田,8417,19600824,贵州省,1200,山坡路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244512.jpg,,,,,,,,,, +臭牡丹,Clerodendrum bungei,吴元坤,51,19530426,云南省,348~500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02243504.jpg,,,,,,,,,, +臭茉莉,Clerodendrum chinense var. simplex,刘恩德,方伟,王泽欢,陈丽,2298,20100104,云南省,1070,roadside,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1262258.jpg,,,,,,,,,, +臭茉莉,Clerodendrum chinense var. simplex,蔡杰,刘东升,杨德进,12CS5399,20120414,云南,560,路边,灌木,,https://image.cvh.ac.cn/files/l/KUN/1386528.jpg,,,,,,,,,, +臭茉莉,Clerodendrum chinense var. simplex,黄俞淞、廖云标等,LZ455,20110705,广西壮族自治区,340,石灰岩山地季雨林(石山),直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00205116.jpg,,,,,,,,,, +腺茉莉,Clerodendrum colebrookianum,华南队,1613,19890915,广西壮族自治区,500,山地,山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/02009673.jpg,,,,,,,,,, +腺茉莉,Clerodendrum colebrookianum,深圳考察队,801,19970405,广东省,150,road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01401095.jpg,,,,,,,,,, +,Clerodendrum japonicum,杨光辉,56818,19570822,四川省,1000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02243211.jpg,,,,,,,,,, +,Clerodendrum japonicum,安顺队,208,19590709,贵州省,900,山谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02243210.jpg,,,,,,,,,, +,Clerodendrum japonicum,石国良,13131,19770831,广东省,,公路边丛林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02243207.jpg,,,,,,,,,, +尖齿臭茉莉,Clerodendrum lindleyi,红水河植物考察队,1322,19890517,广西壮族自治区,1050,山坡栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009690.jpg,,,,,,,,,, +尖齿臭茉莉,Clerodendrum lindleyi,刘金魁,311,20031108,湖南省,280,旷野红壤,,有花无果,https://image.cvh.ac.cn/files/l/PE/01559012.jpg,,,,,,,,,, +尖齿臭茉莉,Clerodendrum lindleyi,,s.n.,19261014,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01476297.jpg,,,,,,,,,, +,Clerodendrum serratum var. serratum,陶国达,17504,19770816,云南省,890,河边潮湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01559023.jpg,,,,,,,,,, +三对节,Clerodendrum serratum var. serratum,,9888,19590000,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/046411.jpg,,,,,,,,,, +大序三对节,Clerodendrum serratum var. wallichii,青藏队,74-4310,19740817,西藏自治区,960,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01476556.jpg,,,,,,,,,, +大序三对节,Clerodendrum serratum var. wallichii,中苏队,3150,19560527,云南省,1500,山沟疏林中沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00957210.jpg,,,,,,,,,, +大序三对节,Clerodendrum serratum var. wallichii,李鸣冈,928,19391029,云南省 ,0~1900,,shrub,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0602429.jpg,,,,,,,,,, +西藏大青,Clerodendrum tibetanum,陈伟烈,15070,19800917,西藏自治区,1200,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01537345.jpg,,,,,,,,,, +西藏大青,Clerodendrum tibetanum,王薇等,1247,19510914,辽宁省,,山坡杂木林内沙滩土边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00957260.jpg,,,,,,,,,, +垂茉莉,Clerodendrum wallichii,北京青年队,741,19860814,广西壮族自治区,250~300,山坡沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02243727.jpg,,,,,,,,,, +垂茉莉,Clerodendrum wallichii,"S.K.Wu,L.H.Liu,Y.M.Shui et al.",4420,19961021,云南省,1660,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02243728.jpg,,,,,,,,,, +线齿滇常山,Clerodendrum yunnanense var. linearilobum,T.T.Yu,22705,19380915,云南省,2000,Side of mt.stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/00957723.jpg,,,,,,,,,, +线齿滇常山,Clerodendrum yunnanense var. linearilobum,王启无,65439,19350800,西藏自治区,2500,valley pine wood,,有花有果,https://image.cvh.ac.cn/files/l/PE/00957711.jpg,,,,,,,,,, +滇常山,Clerodendrum yunnanense var. yunnanense,玉溪队,737,19890811,云南省,1900,荒地边次生林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/428541.jpg,,,,,,,,,, +云南桤叶树,Clethra delavayi,"李渤生,倪志诚,程树志",6733,19830819,西藏自治区,2500~3200,Tsuga林下常见二层乔木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075200.jpg,,,,,,,,,, +云南桤叶树,Clethra delavayi,M.Iabbe Delavay,862,18840005,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02002920.jpg,,,,,,,,,, +云南桤叶树,Clethra delavayi,PE-古蔺考察队,837,20100907,四川省,1070~977,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01853498.jpg,,,,,,,,,, +披针桤叶树,Clethra monostachya var. lancilimba,M.K.Li,2031,19391122,云南省,2200,on mixed forests,,有花有果,https://image.cvh.ac.cn/files/l/PE/00058406.jpg,,,,,,,,,, +异色风轮菜,Clinopodium discolor,PE西藏队,PE6060,20170906,西藏自治区,2935,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331094.jpg,,,,,,,,,, +异色风轮菜,Clinopodium discolor,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET2745,20080713,云南省,1780,evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328310.jpg,,,,,,,,,, +,Clinopodium longicaule,西藏中草药普查队,1464,19720824,西藏自治区,2600~2700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00921909.jpg,,,,,,,,,, +寸金草,Clinopodium megalanthum,"H.Li,S.X.Yang,R.Li etc.",406,20020816,云南省,2550,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110551.jpg,,,,,,,,,, +寸金草,Clinopodium megalanthum,赵佐成,3838,19931018,四川省,2000,路边阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020817.jpg,,,,,,,,,, +灯笼草,Clinopodium polycephalum,PE西藏队,PE6883,20170918,西藏自治区,3311,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331014.jpg,,,,,,,,,, +灯笼草,Clinopodium polycephalum,FLPH Sichuan Expedition,150914,20150823,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328315.jpg,,,,,,,,,, +匍匐风轮菜,Clinopodium repens,South Tibet Exp.Team (Jin Xiaohua etc.),STET2396,20100808,西藏自治区,750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328304.jpg,,,,,,,,,, +匍匐风轮菜,Clinopodium repens,"朱大海,王永,尚涛",1718,20030920,四川省,1000,山坡下部林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115849.jpg,,,,,,,,,, +匍匐风轮菜,Clinopodium repens,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1016,20021108,云南省,2520,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02110999.jpg,,,,,,,,,, +七筋姑,Clintonia udensis,236四川任务组,703,19710804,四川省,3000,林下沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02087285.jpg,,,,,,,,,, +七筋姑,Clintonia udensis,"刘冰,刘夙",690,20070604,北京市,2017,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043375.jpg,,,,,,,,,, +七筋姑,Clintonia udensis,PE-NIBR Changbaishan Exped.,229-3,20140610,吉林省,1686,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02037705.jpg,,,,,,,,,, +蛇床,Cnidium monnieri,云台山采集队,1313,20090800,河南省,,路边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015819.jpg,,,,,,,,,, +蛇床,Cnidium monnieri,Anonymous,s.n.,19570803,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01941379.jpg,,,,,,,,,, +蛇床,Cnidium monnieri,,176,19720627,河北省,,杨桦林缘阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820672.jpg,,,,,,,,,, +樟叶木防己,Cocculus laurifolius,华南队,919,19890522,广西壮族自治区,1100,山地山谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986353.jpg,,,,,,,,,, +樟叶木防己,Cocculus laurifolius,780植被组,495,19781120,云南省,2350,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01804149.jpg,,,,,,,,,, +樟叶木防己,Cocculus laurifolius,黔南队,512,19590412,贵州省,650,山脚 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658272.jpg,,,,,,,,,, +毛木防己,Cocculus orbiculatus var. mollis,李广斌,J8112-025,19830913,浙江省,410,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658167.jpg,,,,,,,,,, +毛木防己,Cocculus orbiculatus var. mollis,国际交换队,870220,19870729,四川省,1500,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01569707.jpg,,,,,,,,,, +毛木防己,Cocculus orbiculatus var. mollis,管中天,6038,19590413,云南省,1580,荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01070430.jpg,,,,,,,,,, +细茎旋花豆,Cochlianthus gracilis,"李渤生,程树志",907,19820914,西藏自治区,2100,路边常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074728.jpg,,,,,,,,,, +细茎旋花豆,Cochlianthus gracilis,北京所横断山队,2010,19810727,云南省,3100~3400,云南松林下灌木中常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02042323.jpg,,,,,,,,,, +细茎旋花豆,Cochlianthus gracilis,三峡工程植被组,峡0102,19880821,重庆市,550,常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028650.jpg,,,,,,,,,, +高山旋花豆,Cochlianthus montanus,王启无,70656,19350600,云南省,2500,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00463216.jpg,,,,,,,,,, +高山旋花豆,Cochlianthus montanus,华南植物研究所,164,,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00101350.jpg,,,,,,,,,, +,Codariocalyx motorius,Ming-Jer Jung,3535,20081007,台湾省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01932280.jpg,,,,,,,,,, +,Codariocalyx motorius,税玉民,738,19921023,云南省,460,山坡公路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629446.jpg,,,,,,,,,, +,Codariocalyx motorius,谭仕兴,528,20050702,贵州省,950,林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01499595.jpg,,,,,,,,,, +大叶党参,Codonopsis affinis,西藏中草药普查队,1579,19720828,西藏自治区,3200,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01252136.jpg,,,,,,,,,, +大叶党参,Codonopsis affinis,,,,,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0525319.jpg,,,,,,,,,, +大叶党参,Codonopsis affinis,T.N.Ho etc.,2009,19960818,青海省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/761738.jpg,,,,,,,,,, +高山党参,Codonopsis alpina,Joseph F.Rock,22680,19320800,西藏自治区,4833,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01646361.jpg,,,,,,,,,, +高山党参,Codonopsis alpina,T.T.Yu,22576,19380830,云南省,4000,Mt rocky place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01646359.jpg,,,,,,,,,, +高山党参,Codonopsis alpina,E.H.Wilson,1170,19070000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01646358.jpg,,,,,,,,,, +,Codonopsis benthamii,J.T.Monbeig,s.n.,,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064745.jpg,,,,,,,,,, +,Codonopsis benthamii,"Jin Xh,Wang LS,Wang Q et al.",ST1402,20130730,云南省,3100~3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01979056.jpg,,,,,,,,,, +,Codonopsis benthamii,"D.E.Boufford,et al.",42770,20100809,四川省,3575,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01960008.jpg,,,,,,,,,, +管钟党参,Codonopsis bulleyana,J.M.Delavay,s.n.,18860813,云南省,3800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110413.jpg,,,,,,,,,, +管钟党参,Codonopsis bulleyana,杨福生等,62,20120801,四川省,4300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02003573.jpg,,,,,,,,,, +灰毛党参,Codonopsis canescens,"Jin Xiaohua,Jin Weitao,Cui Yiqun",14500,20140808,青海省,4194,alpine meadow wetland,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064886.jpg,,,,,,,,,, +灰毛党参,Codonopsis canescens,"洪德元,潘开玉,王强",H12070,20120904,四川省,3000,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056930.jpg,,,,,,,,,, +灰毛党参,Codonopsis canescens,王红娟等,JD-001,20120727,西藏自治区,3400~3700,山坡灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02003571.jpg,,,,,,,,,, +绿钟党参,Codonopsis chlorocodon,"洪德元,潘开玉,王强",H12071,20120904,四川省,3300,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056923.jpg,,,,,,,,,, +绿钟党参,Codonopsis chlorocodon,C.W.Wang,69913,19350900,云南省,2700,Mountain slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/01646242.jpg,,,,,,,,,, +新疆党参,Codonopsis clematidea,"傅连中,范晓虹,黄卫东",2015-003,20150909,新疆维吾尔自治区,2500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111121.jpg,,,,,,,,,, +新疆党参,Codonopsis clematidea,S.Czerepanov et G.Nepli,1118,19650712,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101921.jpg,,,,,,,,,, +,Codonopsis convolvulacea subsp. forrestii,青藏队,14838,19830927,四川省,27~2900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885095.jpg,,,,,,,,,, +,Codonopsis convolvulacea subsp. forrestii,张铁军,28,19890000,云南省,3500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01646344.jpg,,,,,,,,,, +,Codonopsis convolvulacea subsp. vinciflora,"李渤生,李辉",14007,19901007,西藏自治区,2800,常绿阔叶林下偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01252473.jpg,,,,,,,,,, +薄叶鸡蛋参,Codonopsis convolvulacea subsp. vinciflora,高云东,邓亨宁,黎怀成,THP-KD-2115,20170804,四川省,2800~3000,库西绒村,藤本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251844.jpg,,,,,,,,,, +薄叶鸡蛋参,Codonopsis convolvulacea subsp. vinciflora,余奇、熊先华、李琳霖,THP-KD-3885,20170807,四川,3437~3534,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251845.jpg,,,,,,,,,, +心叶党参,Codonopsis cordifolioidea,H.T.Tsai,54814,19331008,云南省,1800,In woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/01621481.jpg,,,,,,,,,, +心叶党参,Codonopsis cordifolioidea,罗城县普查队,451225131108008LY,20131108,广西壮族自治区,306,阔叶林,林下,红壤,少见,野生,藤本,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00364715.jpg,,,,,,,,,, +心叶党参,Codonopsis cordifolioidea,白洪兵、海仙,5333241812061288LY,20181206,云南,1207,,藤本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009827.jpg,,,,,,,,,, +三角叶党参,Codonopsis deltoidea,王强,H12083,20120917,四川省,2400,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056921.jpg,,,,,,,,,, +三角叶党参,Codonopsis deltoidea,T.T.Yu,22673,19380903,云南省,4000,Mt.grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01646231.jpg,,,,,,,,,, +珠峰党参,Codonopsis dicentrifolia,,1598,19720829,西藏自治区,3300,悬崖上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810232.jpg,,,,,,,,,, +珠峰党参,Codonopsis dicentrifolia,Stainton et al.,3864,19540816,,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361977.jpg,,,,,,,,,, +,Codonopsis foetens subsp. foetens,"洪德元,马欣堂,王强",H12046,20120811,西藏自治区,4508,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056896.jpg,,,,,,,,,, +贡山党参,Codonopsis gombalana,T.T.Yu,20265,19380914,云南省,3600,Upon thickets open on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01372236.jpg,,,,,,,,,, +川鄂党参,Codonopsis henryi,,9685,19750827,四川省,3100,路旁杂灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01646264.jpg,,,,,,,,,, +川鄂党参,Codonopsis henryi,Dr.Aug.Henry,6651,18850000,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01372238.jpg,,,,,,,,,, +川鄂党参,Codonopsis henryi,李渤生等,6237,19830808,西藏自治区,3400~3600,Abies林缘灌丛中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01253963.jpg,,,,,,,,,, +光萼党参,Codonopsis levicalyx,西藏中草药普查队,4155,19720722,西藏自治区,3200,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804014.jpg,,,,,,,,,, +,Codonopsis levicalyx,胡文光,37900,19530922,四川省,2350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01252501.jpg,,,,,,,,,, +珠鸡斑党参,Codonopsis meleagris,,3252,,云南省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621489.jpg,,,,,,,,,, +珠鸡斑党参,Codonopsis meleagris,G.Forrest,6522,19100000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0525473.jpg,,,,,,,,,, +珠鸡斑党参,Codonopsis meleagris,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0525475.jpg,,,,,,,,,, +小花党参,Codonopsis micrantha,攀枝花苏铁考察队,415,20100913,四川省,2226,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885014.jpg,,,,,,,,,, +小花党参,Codonopsis micrantha,税玉民,3264,19930804,云南省,2300,山坡林缘灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01372270.jpg,,,,,,,,,, +小花党参,Codonopsis micrantha,"姜恕,应俊生等",4793,19601010,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01252881.jpg,,,,,,,,,, +片马党参,Codonopsis pianmaensis,659,8428,19640817,云南省,3500,山坡灌丛草地,蔓性草本,有花无果,https://image.cvh.ac.cn/files/l/LBG/00092452.jpg,,,,,,,,,, +片马党参,Codonopsis pianmaensis,张占亮,,19580600,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH016667.jpg,,,,,,,,,, +片马党参,Codonopsis pianmaensis,武素功,8428,19640817,云南,3500,山坡灌丛草地,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1218287.jpg,,,,,,,,,, +素花党参,Codonopsis pilosula subsp. tangshen,王强,H12074,20120910,重庆市,1700,山崖下竹林灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056800.jpg,,,,,,,,,, +素花党参,Codonopsis pilosula subsp. tangshen,,2346,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056788.jpg,,,,,,,,,, +紫花党参,Codonopsis purpurea,西藏中草药普查队,1308,19720819,西藏自治区,2000,林内生于树干上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01804005.jpg,,,,,,,,,, +紫花党参,Codonopsis purpurea,Y.Tsiang,11523,19330000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01253210.jpg,,,,,,,,,, +紫花党参,Codonopsis purpurea,许溯桂,5285,19590829,云南省,2200,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01253208.jpg,,,,,,,,,, +莲座状党参,Codonopsis rosulata,王强,H12081,20120914,四川省,2650,松林下高山栎灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917000.jpg,,,,,,,,,, +莲座状党参,Codonopsis rosulata,,2598,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01253212.jpg,,,,,,,,,, +,Codonopsis rotundifolia,西藏中草药普查队,1563,19720827,西藏自治区,3600~3700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01252712.jpg,,,,,,,,,, +球花党参,Codonopsis subglobosa,"郎楷永,李良千,费勇",2549,19830731,四川省,3500~3600,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056758.jpg,,,,,,,,,, +球花党参,Codonopsis subglobosa,G.Forrest,30694,,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01646261.jpg,,,,,,,,,, +球花党参,Codonopsis subglobosa,R.C.Ching,21695A,19390921,云南省,,In mixed forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01646260.jpg,,,,,,,,,, +抽葶党参,Codonopsis subscaposa,"洪德元,马欣堂,王强",H12072,20120904,四川省,3385,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056898.jpg,,,,,,,,,, +抽葶党参,Codonopsis subscaposa,T.T.Yu,12772,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01646306.jpg,,,,,,,,,, +藏南党参,Codonopsis subsimplex,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0835,20130809,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992013.jpg,,,,,,,,,, +藏南党参,Codonopsis subsimplex,H.Ohashi et al.,772283,19770811,,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01372067.jpg,,,,,,,,,, +,Codonopsis thalictrifolia,PE-西藏队,3516,20130715,西藏自治区,4151,林缘湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056927.jpg,,,,,,,,,, +,Codonopsis thalictrifolia,F.Speneer Chapman,265,19360805,,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01372074.jpg,,,,,,,,,, +管花党参,Codonopsis tubulosa,J.M.Delavay,3300,18880307,云南省,2500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110414.jpg,,,,,,,,,, +管花党参,Codonopsis tubulosa,张无休等,77,19850807,贵州省,2250,箭竹林上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056876.jpg,,,,,,,,,, +管花党参,Codonopsis tubulosa,刘恩德等,2583,20100804,四川省,3168,Upon Quercus shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917001.jpg,,,,,,,,,, +绿花党参,Codonopsis viridiflora,孙学刚等,6410,20060805,甘肃省,2850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056753.jpg,,,,,,,,,, +绿花党参,Codonopsis viridiflora,刘尚武,3224,19890722,青海省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020776.jpg,,,,,,,,,, +绿花党参,Codonopsis viridiflora,王红娟等,JD-002,20120727,西藏自治区,3641,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02003572.jpg,,,,,,,,,, +髯毛贝母兰,Coelogyne barbata,Jin Xiaohua,11687,20111005,云南省,1700,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033517.jpg,,,,,,,,,, +髯毛贝母兰,Coelogyne barbata,"李渤生,程树志",2456,19830109,西藏自治区,1700,山坡 阴暗石壁上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376921.jpg,,,,,,,,,, +眼斑贝母兰,Coelogyne corymbosa,王崇杰,14098,19981015,西藏自治区,1200~3500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866597.jpg,,,,,,,,,, +眼斑贝母兰,Coelogyne corymbosa,金效华,8313,20060730,云南省,2551,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01825107.jpg,,,,,,,,,, +贝母兰,Coelogyne cristata,"张永田,郞楷永",3405,19660506,西藏自治区,1700,山坡林中附生石头上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00805515.jpg,,,,,,,,,, +贝母兰,Coelogyne cristata,邬文祥,8869,19900404,江苏省,,温室盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585619.jpg,,,,,,,,,, +流苏贝母兰,Coelogyne fimbriata,Xiaohua Jin et Zhanghai Li,16568,20150816,云南省,1200~800,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233121.jpg,,,,,,,,,, +流苏贝母兰,Coelogyne fimbriata,"D.K.Harder,N.T.Hiep,L.V.Averyanov etc.",4814,20000401,,514,exposed limestone under light canopy N&S slopes,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033400.jpg,,,,,,,,,, +流苏贝母兰,Coelogyne fimbriata,华南生物多样性调查队 金效华,5412,20031107,海南省,1000~1300,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02032847.jpg,,,,,,,,,, +白花贝母兰,Coelogyne leucantha,华南队,964,19890522,广西壮族自治区,1100,山地,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997783.jpg,,,,,,,,,, +白花贝母兰,Coelogyne leucantha,金效华,8123,20050405,云南省,2106,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01825113.jpg,,,,,,,,,, +长柄贝母兰,Coelogyne longipes,王崇杰,505,19981015,西藏自治区,1200~3500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866595.jpg,,,,,,,,,, +长柄贝母兰,Coelogyne longipes,金效华,8180,20060520,云南省,1827,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01825115.jpg,,,,,,,,,, +卵叶贝母兰,Coelogyne occultata,杨竞生,90-284,19900721,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01526178.jpg,,,,,,,,,, +卵叶贝母兰,Coelogyne occultata,北京植物所横断山队,229,19810529,云南省,2400,附生于常绿阔叶林内树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487351.jpg,,,,,,,,,, +长磷贝母兰,Coelogyne ovalis,吉占和,91-572,19910825,云南省,870,林缘 树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517641.jpg,,,,,,,,,, +长磷贝母兰,Coelogyne ovalis,"程树志,李渤生",3493,19830119,西藏自治区,1800,着生于树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01376909.jpg,,,,,,,,,, +黄绿贝母兰,Coelogyne prolifera,吉占和,92-364,19920605,云南省,1700,林中树上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033435.jpg,,,,,,,,,, +黄绿贝母兰,Coelogyne prolifera,G.Forrest,8613,19120000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625292.jpg,,,,,,,,,, +狭瓣贝母兰,Coelogyne punctulata,Jin Xiaohua,13534,20121007,云南省,600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233166.jpg,,,,,,,,,, +狭瓣贝母兰,Coelogyne punctulata,"李渤生,李辉",14231,19901012,西藏自治区,2200~2600,常绿阔叶林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506899.jpg,,,,,,,,,, +狭瓣贝母兰,Coelogyne punctulata,"姜恕,赵从福",Q014,19660515,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01485529.jpg,,,,,,,,,, +穴丝荠,Coelonema draboides,D.E.Boufford & B.Bartholomew et.al.,29233,19980725,云南省,4280~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869045.jpg,,,,,,,,,, +穴丝荠,Coelonema draboides,杨亲二,9527,19950910,青海省,3600,灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01005348.jpg,,,,,,,,,, +穴丝荠,Coelonema draboides,胡式之,419,19640701,甘肃省,3700~3900,高山草甸及近顶峰风化带,,有花有果,https://image.cvh.ac.cn/files/l/PE/01005346.jpg,,,,,,,,,, +羽萼木,Colebrookea oppositifolia,C.W.Wang,72159,19360300,云南省,2000,open slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111124.jpg,,,,,,,,,, +羽萼木,Colebrookea oppositifolia,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01804635.jpg,,,,,,,,,, +吻兰,Collabium chinense,梁向日,69778,19370718,广东省,0,,兰,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625359.jpg,,,,,,,,,, +吻兰,Collabium chinense,侯宽昭,73447,19350812,海南省,0~2300,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0625346.jpg,,,,,,,,,, +台湾吻兰,Collabium formosanum,Jin Xiaohua,14235,20140524,贵州省,558,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233140.jpg,,,,,,,,,, +台湾吻兰,Collabium formosanum,Jin Xiaohua,13699,20130607,广西壮族自治区,900,along the river,,有花无果,https://image.cvh.ac.cn/files/l/PE/02025146.jpg,,,,,,,,,, +台湾吻兰,Collabium formosanum,"Jin Xh,Wang LS,Wang Q et al.",ST0790,20130723,云南省,,mountain slope shade,,有花无果,https://image.cvh.ac.cn/files/l/PE/01978489.jpg,,,,,,,,,, +,Colocasia affinis,青藏队黄荣福,972,19790723,西藏自治区,0~2100,林下,草本,无花无果,https://image.cvh.ac.cn/files/l/HNWP/186768.jpg,,,,,,,,,, +野芋,Colocasia antiquorum,"陈耀东,官少飞,郎青",785,19840921,江西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780279.jpg,,,,,,,,,, +野芋,Colocasia antiquorum,,s.n.,19290804,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01712782.jpg,,,,,,,,,, +芋,Colocasia esculenta,王兰英,366,20080724,江西省,300~450,水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244599.jpg,,,,,,,,,, +芋,Colocasia esculenta,邓云飞,11150,19970600,湖南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244598.jpg,,,,,,,,,, +芋,Colocasia esculenta,236-6队,745,19740712,福建省,320,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01788415.jpg,,,,,,,,,, +假芋,Colocasia fallax,周仕顺,2035,20040807,云南省,900,箐边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01788622.jpg,,,,,,,,,, +假芋,Colocasia fallax,J.F.Maxwell ,95-565,19950824,,550,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01712814.jpg,,,,,,,,,, +藤状火把花,Colquhounia seguinii,吴训锋,17,19850127,云南省,0~1650,,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0565700.jpg,,,,,,,,,, +藤状火把花,Colquhounia seguinii,毛品一,2041,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0565694.jpg,,,,,,,,,, +无尾果,Coluria longifolia,PE西藏考察队,7311,20180615,西藏自治区,4154~4259,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333322.jpg,,,,,,,,,, +无尾果,Coluria longifolia,,659,19750713,,3700,小叶杜鹃丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834777.jpg,,,,,,,,,, +无尾果,Coluria longifolia,李捷,207,19930711,甘肃省,3400,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01610739.jpg,,,,,,,,,, +汶川无尾果,Coluria oligocarpa,何铸,12272,19520423,四川省,,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01274695.jpg,,,,,,,,,, +汶川无尾果,Coluria oligocarpa,王启无,71501,193507,云南省,3000,沟谷中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0110900.jpg,,,,,,,,,, +汶川无尾果,Coluria oligocarpa,,,,四川; SZECHWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00077036.jpg,,,,,,,,,, +膀胱豆,Colutea delavayi,M.Iabbe Delavay,s.n.,18900004,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01932147.jpg,,,,,,,,,, +膀胱豆,Colutea delavayi,青藏队,13401,19830825,四川省,1900,江边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00463341.jpg,,,,,,,,,, +,Colutea nepalensis,青藏队植被组,12921,19760701,西藏自治区,3100,干旱河谷 河漫滩 坡麓,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538676.jpg,,,,,,,,,, +,Colutea nepalensis,"郭柯,郑度",P-058,19891003,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01468296.jpg,,,,,,,,,, +西北沼委陵菜,Comarum salesovianum,郑斯绪,457,19600700,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834776.jpg,,,,,,,,,, +西北沼委陵菜,Comarum salesovianum,,13746,19430906,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01638975.jpg,,,,,,,,,, +西北沼委陵菜,Comarum salesovianum,"郭柯,郑度",12853,19900914,新疆维吾尔自治区,3200~3800,山沟 河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01606097.jpg,,,,,,,,,, +蓝钟喉毛花,Comastoma cyananthiflorum,钟补求,5382,19520914,西藏自治区,4700,高山草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531654.jpg,,,,,,,,,, +蓝钟喉毛花,Comastoma cyananthiflorum,,21347,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531643.jpg,,,,,,,,,, +镰萼喉毛花,Comastoma falcatum,"张新时,郭柯",天山-563,19860814,新疆维吾尔自治区,3080,高山-亚高山草甸T-074,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080859.jpg,,,,,,,,,, +镰萼喉毛花,Comastoma falcatum,郭柯,k-222,19900813,青海省,4870,山地北坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048373.jpg,,,,,,,,,, +镰萼喉毛花,Comastoma falcatum,D.E.Boufford et al.,39821,20070816,四川省,4260~4400,Rocky slope in soil between rocks.,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885755.jpg,,,,,,,,,, +柔弱喉毛花,Comastoma pedunculatum,,7933,19740930,四川省,3900,草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531878.jpg,,,,,,,,,, +柔弱喉毛花,Comastoma pedunculatum,T.N.Ho B.Bartholomew M.Watson et al,1714,19960812,青海省,4430,Growing in Kobresia meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440291.jpg,,,,,,,,,, +柔弱喉毛花,Comastoma pedunculatum,"李渤生,李辉,阳艺",13735,19900912,西藏自治区,3600,Betula 林内空地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196275.jpg,,,,,,,,,, +皱边喉毛花,Comastoma polycladum,黄河队,3432,19560901,甘肃省,,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531882.jpg,,,,,,,,,, +皱边喉毛花,Comastoma polycladum,T.P.Wang,6141,19380912,青海省,3500,On weedy high slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531883.jpg,,,,,,,,,, +喉毛花,Comastoma pulmonarium,"郎楷永,李良千,费勇",2882,19860806,四川省,3700~3950,冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02103210.jpg,,,,,,,,,, +喉毛花,Comastoma pulmonarium,段长虹,Dch0559,20140818,山西省,2872,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035774.jpg,,,,,,,,,, +喉毛花,Comastoma pulmonarium,"Jin Xh,Wang LS,Wang Q et al.",ST2656,,西藏自治区,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01978274.jpg,,,,,,,,,, +长梗喉毛花,Comastoma tenellum,青藏队,7324,19750821,西藏自治区,4300,湖边草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531950.jpg,,,,,,,,,, +长梗喉毛花,Comastoma tenellum,T.T.Yu,23210,19381002,云南省,3900,In valley grassy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531944.jpg,,,,,,,,,, +长梗喉毛花,Comastoma tenellum,关克俭,2925,19570813,新疆维吾尔自治区,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531943.jpg,,,,,,,,,, +高杯喉毛花,Comastoma traillianum,"李渤生,程树志",682,19820905,西藏自治区,4200,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098767.jpg,,,,,,,,,, +高杯喉毛花,Comastoma traillianum,,5010,19580730,四川省,4350,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531974.jpg,,,,,,,,,, +高杯喉毛花,Comastoma traillianum,,3756,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531971.jpg,,,,,,,,,, +石风车子,Combretum wallichii,贵州队,3056,19600526,贵州省,1280,山坡灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114376.jpg,,,,,,,,,, +石风车子,Combretum wallichii,A.Henry,9242A,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114358.jpg,,,,,,,,,, +石风车子,Combretum wallichii,"M.Suzuki,N.Acharya,S.Akiyama et al.",9263004,19920510,,1320,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01348867.jpg,,,,,,,,,, +,Commelina benghalensis,,龙州039,19660324,广西壮族自治区,300,岩石边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017539.jpg,,,,,,,,,, +,Commelina benghalensis,王功范,1-0651,20030804,贵州省,750,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791287.jpg,,,,,,,,,, +,Commelina benghalensis,刘标,596,20040828,湖南省,450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791284.jpg,,,,,,,,,, +鸭跖草,Commelina communis,毕节队,1561,19590923,贵州省,,山坡路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238197.jpg,,,,,,,,,, +鸭跖草,Commelina communis,徐洪贵,597,19950531,四川省,550,地边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238195.jpg,,,,,,,,,, +节节草,Commelina diffusa,Shui Yumin et al.,10957,19990913,云南省,1700,roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238034.jpg,,,,,,,,,, +节节草,Commelina diffusa,赣南采集队,825,20071031,江西省,200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238030.jpg,,,,,,,,,, +节节草,Commelina diffusa,"李渤生,程树志",1539,19821029,西藏自治区,1200~1600,常绿阔叶林缘常见草本,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238028.jpg,,,,,,,,,, +地地藕,Commelina maculata,倪志诚 汪永泽 次多 次旦,256,19800627,西藏自治区,2300,云南松林林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237978.jpg,,,,,,,,,, +地地藕,Commelina maculata,"攀枝花苏铁考察队(杨永,莫旭,余志祥等)",281,20100712,四川省,1546,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237974.jpg,,,,,,,,,, +地地藕,Commelina maculata,Shui Yu-Min et Chen Wen-Hong,13282,20001019,云南省,1100,roadside at the edge of forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237973.jpg,,,,,,,,,, +大苞鸭跖草,Commelina paludosa,"S.K.Wu,Y.M.Shui,Y.P.Yang etc.",51,19951015,云南省,1700~1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247453.jpg,,,,,,,,,, +大苞鸭跖草,Commelina paludosa,何国生,229,19791205,福建省,250,山沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237997.jpg,,,,,,,,,, +大苞鸭跖草,Commelina paludosa,,2405,19740908,西藏自治区,,斜叶?林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237995.jpg,,,,,,,,,, +中花粘腺果,Commicarpus chinensis,西沙队,3364,19740711,广东省,,平地 沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/00917513.jpg,,,,,,,,,, +,Commicarpus chinensis,李永亮等,YDDXS1221,20140501,云南,900,南亚热带干热河谷杂灌木林,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321612.jpg,,,,,,,,,, +中花粘腺果,Commicarpus chinensis,青藏队,2890,19810718,云南省,2100,公路旁,耕地箐边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0484673.jpg,,,,,,,,,, +线果芥,Conringia planisiliqua,,1353,19760625,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01005361.jpg,,,,,,,,,, +,Conringia planisiliqua,谭敦炎,邱娟等,TanDY0456,20090805,新疆,1535,山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235556.jpg,,,,,,,,,, +银灰旋花,Convolvulus ammannii,陈全胜,CF-0006-157,20170824,内蒙古自治区,1881,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246514.jpg,,,,,,,,,, +银灰旋花,Convolvulus ammannii,黄河队,7774,19560820,陕西省,,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075837.jpg,,,,,,,,,, +田旋花,Convolvulus arvensis,黄河队,6823,19560512,陕西省,,山坡旱田中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075832.jpg,,,,,,,,,, +田旋花,Convolvulus arvensis,"M.Baresova,Z.Dolezalova et J.Hejna",,19660715,,230,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02040379.jpg,,,,,,,,,, +田旋花,Convolvulus arvensis,"石硕,祝东立,祝振清",SZ3725,20140807,河北省,1270,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035684.jpg,,,,,,,,,, +灌木旋花,Convolvulus fruticosus,青藏队,870031,19870618,新疆维吾尔自治区,2400,戈壁滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604997.jpg,,,,,,,,,, +灌木旋花,Convolvulus fruticosus,A.Borissova,s.n.,19340627,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00112892.jpg,,,,,,,,,, +鹰爪柴,Convolvulus gortschakovii,Sino-Russian Altai Expedition,SRAE2004143,20040000,新疆维吾尔自治区,,Saline habitats and sandy desert around the lake,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766759.jpg,,,,,,,,,, +鹰爪柴,Convolvulus gortschakovii,新疆采集队,11,19780515,甘肃省,,戈壁滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604996.jpg,,,,,,,,,, +鹰爪柴,Convolvulus gortschakovii,"孔令韶,高平",45,19840724,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01447959.jpg,,,,,,,,,, +直立旋花,Convolvulus pseudocantabricus,徐昌伟,14133035,20140601,贵州省,1110,路边,,有花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0011651.jpg,,,,,,,,,, +刺旋花,Convolvulus tragacanthoides,陈又生等,140936,20140726,内蒙古自治区,1200,荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035920.jpg,,,,,,,,,, +刺旋花,Convolvulus tragacanthoides,L.Ivanina et al.,585,19780712,,1200~1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023985.jpg,,,,,,,,,, +刺旋花,Convolvulus tragacanthoides,Sino-Russian Altai Expedition,SRAE2004026,20040000,新疆维吾尔自治区,1018,Stony and clayey slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766758.jpg,,,,,,,,,, +羽裂变种,Conyza stricta var. pinnatifida,Chen Yi-lin & C. Grey wilson,85-42,19850918,云南省,1900,山坡草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824402.jpg,,,,,,,,,, +羽裂变种,Conyza stricta var. pinnatifida,西藏中草药普查队,1054,19720813,西藏自治区,2300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00300784.jpg,,,,,,,,,, +羽裂变种,Conyza stricta var. pinnatifida,T.T.Yu,18089,19381018,四川省,1800,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00300783.jpg,,,,,,,,,, +云南黄连,Coptis teeta,Xiaohua Jin & Ting Zhang,71,20080515,云南省,2910,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962058.jpg,,,,,,,,,, +云南黄连,Coptis teeta,傅国勋,761,19600000,西藏自治区,,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01873379.jpg,,,,,,,,,, +,Corallodiscus conchifolius,G.N.Potanin,s.n.,18850907,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030677.jpg,,,,,,,,,, +小石花,Corallodiscus conchifolius,张永洪,王晓雄,周卓,岳亮亮,SunH-07ZX-0546,20080721,西藏,2796,干热河谷,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1385256.jpg,,,,,,,,,, +小石花,Corallodiscus conchifolius,朱鑫鑫、陈彬、沈彬、宋以刚,CSH06590,20140729,四川省,2591.49,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0018231.jpg,,,,,,,,,, +卷丝苣苔,Corallodiscus kingianus,PE西藏队,PE5118,20170825,西藏自治区,3788,石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330857.jpg,,,,,,,,,, +卷丝苣苔,Corallodiscus kingianus,刘方谱,lfp2017008,20170829,四川省,3256,山谷石壁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115712.jpg,,,,,,,,,, +,Corallodiscus lanuginosus,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET 1278,20080703,云南省,2000,evergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108299.jpg,,,,,,,,,, +,Corallodiscus lanuginosus,藏东南考察队 金效华等,SET-ET 379,20090817,西藏自治区,2392,along the forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108297.jpg,,,,,,,,,, +,Corallodiscus lanuginosus,白水江采集队,2654,20060826,甘肃省,1100,on rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108296.jpg,,,,,,,,,, +珊瑚兰,Corallorhiza trifida,Li-song Wang,23,20040520,云南省,2950,under evergreen broad-leaves forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230219.jpg,,,,,,,,,, +珊瑚兰,Corallorhiza trifida,王忠涛等,470,20070628,新疆维吾尔自治区,1776,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033527.jpg,,,,,,,,,, +珊瑚兰,Corallorhiza trifida,Luo Yi-bo,814,20020722,四川省,3200,Abies林下苔藓丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02033345.jpg,,,,,,,,,, +长蒴黄麻,Corchorus olitorius,王文采,359,19581004,云南省,1400,山坡路边阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01348082.jpg,,,,,,,,,, +长蒴黄麻,Corchorus olitorius,李中提,601872,,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01348080.jpg,,,,,,,,,, +破布木,Cordia dichotoma,黔南队,425,19590411,贵州省,400,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02107794.jpg,,,,,,,,,, +破布木,Cordia dichotoma,"李渤生,程树志",4595,19830511,西藏自治区,1200~900,树边半栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081018.jpg,,,,,,,,,, +破布木,Cordia dichotoma,K.R.McDonald,KRM8756,20100227,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01913808.jpg,,,,,,,,,, +,Corethrodendron multijugum,"张发起, 迟晓峰, 夏铭泽",QXA0426,20180827,青海,3591,温带半荒漠稀疏植被,半灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486838.jpg,,,,,,,,,, +红花山竹子,Corethrodendron multijugum,常朝阳、刘培亮、刘亚斌,2013009,20130717,青海省,3680,荒漠山坡,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0534331.jpg,,,,,,,,,, +,Corethrodendron scoparium,张磊,QTP-LJQ-1238-3071,20190801,内蒙古,1398,沙漠边缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1474558.jpg,,,,,,,,,, +,Corethrodendron scoparium,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1237-3049,20190803,宁夏,1660,荒漠草原,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1474646.jpg,,,,,,,,,, +细枝山竹子,Corethrodendron scoparium,陈覃清,1219,19900830,甘肃,100m,戈壁,草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00024359.jpg,,,,,,,,,, +芫荽,Coriandrum sativum,云台山采集队,979,20090620,河南省,,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02031808.jpg,,,,,,,,,, +芫荽,Coriandrum sativum,Richard R. Halse,7999,20100701,,80,"In field of triticale, but plant was grown in the field last year.so persisting in field;",,有花无果,https://image.cvh.ac.cn/files/l/PE/02026340.jpg,,,,,,,,,, +马桑,Coriaria nepalensis,鄂植考队,25061,19770813,湖北省,1500,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245298.jpg,,,,,,,,,, +马桑,Coriaria nepalensis,Simeon Ten,s.n.,19160225,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02111648.jpg,,,,,,,,,, +马桑,Coriaria nepalensis,"陈伟烈,陈家瑞,郭柯,闫建平",5395,19840521,四川省,2100,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02111647.jpg,,,,,,,,,, +草马桑,Coriaria terminalis,PE西藏考察队,7474,20180617,西藏自治区,2808,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02331647.jpg,,,,,,,,,, +草马桑,Coriaria terminalis,"冯正波,朱大海,李小杰",20070332,20070516,四川省,2000,河滩灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111618.jpg,,,,,,,,,, +草马桑,Coriaria terminalis,青藏队,7543,19820625,云南省,3400,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02111616.jpg,,,,,,,,,, +绳虫实,Corispermum declinatum,T.N.Liou,L.2728,19310718,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086923.jpg,,,,,,,,,, +绳虫实,Corispermum declinatum,黄河2队,2714,19550913,山西省,1700,山谷旱田旁 阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086922.jpg,,,,,,,,,, +绳虫实,Corispermum declinatum,傅坤俊,6551,19530528,陕西省,810,冲积土,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086919.jpg,,,,,,,,,, +粗喙虫实,Corispermum dutreuilii,生物研究所西藏考察队,3329,19740701,新疆维吾尔自治区,1950,沙丘凹地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801948.jpg,,,,,,,,,, +粗喙虫实,Corispermum dutreuilii,,50,19551030,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00540334.jpg,,,,,,,,,, +粗喙虫实,Corispermum dutreuilii,李发重,62,19720800,西藏自治区,4250,农田,,有花有果,https://image.cvh.ac.cn/files/l/PE/00540330.jpg,,,,,,,,,, +镰叶虫实,Corispermum falcatum,"吴征镒,陈书坤,杜庆,庐树林",75-758,19750713,西藏自治区,3650,村旁沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086986.jpg,,,,,,,,,, +镰叶虫实,Corispermum falcatum,熊厚溪,522401141009282 LY,20141009,贵州省,1080,,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0036730.jpg,,,,,,,,,, +,Corispermum falcatum,"Walton, H.J.",s.n.,4-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00317867.jpg,,,,,,,,,, +中亚虫实,Corispermum heptapotamicum,T.N.Liou,L.2727,19310718,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086917.jpg,,,,,,,,,, +中亚虫实,Corispermum heptapotamicum,于兆英,1784,19810813,宁夏回族自治区,1700,农田中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01659710.jpg,,,,,,,,,, +中亚虫实,Corispermum heptapotamicum,T.N.Ho et al.,3095,19960918,青海省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01659709.jpg,,,,,,,,,, +拉萨虫实,Corispermum lhasaense,傅国勋,658,19600910,西藏自治区,3760,卵石砂地,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00540404.jpg,,,,,,,,,, +蒙古虫实,Corispermum mongolicum,青甘调查队,3118,19600813,青海省,2900,道旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01659702.jpg,,,,,,,,,, +蒙古虫实,Corispermum mongolicum,何叶祺,2701,19590607,内蒙古自治区,1500,沙滩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01659693.jpg,,,,,,,,,, +蒙古虫实,Corispermum mongolicum,,s.n.,19560804,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01659694.jpg,,,,,,,,,, +假镰叶虫实,Corispermum pseudofalcatum,傅国勋,789,19600000,西藏自治区,3800,田边,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00934050.jpg,,,,,,,,,, +华虫实,Corispermum stauntonii,王薇等,3082,19620918,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801958.jpg,,,,,,,,,, +华虫实,Corispermum stauntonii,普查标本,16302,19590000,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801952.jpg,,,,,,,,,, +华虫实,Corispermum stauntonii,"关克俭,陈艺林",2240,19590711,山西省,1800,沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01659717.jpg,,,,,,,,,, +藏虫实,Corispermum tibeticum,生物研究所西藏考察队,3762,19740730,西藏自治区,4300,河边沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086989.jpg,,,,,,,,,, +藏虫实,Corispermum tibeticum,青海畜牧厅,36,19580700,青海省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00540475.jpg,,,,,,,,,, +,Corispermum tibeticum,黄文娟,段黄金等,LiZJ0882,20080915,新疆,3713,山前戈壁,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1244751.jpg,,,,,,,,,, +,Corispermum tylocarpum,黄河调查队,2984,19550824,山西省,1150,沙丘阳处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01536376.jpg,,,,,,,,,, +,Corispermum tylocarpum,黄河调查队,2889,19560000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01536372.jpg,,,,,,,,,, +,Cornus alba,张春静,64023,19640500,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114515.jpg,,,,,,,,,, +,Cornus alba,Anonymous,84,19880621,河南省,1600,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114511.jpg,,,,,,,,,, +,Cornus capitata,75西藏队,5号,19751008,西藏自治区,2300,山坡路旁阳处野生,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092421.jpg,,,,,,,,,, +,Cornus capitata,"H.Kanai,G.Murata,H.Ohashi etc.",490,19670601,,2150,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02037336.jpg,,,,,,,,,, +,Cornus capitata,红水河植物考察队,2350,19890620,云南省,2000,岩羊沟顶,杂木林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01991939.jpg,,,,,,,,,, +川鄂山茱萸,Cornus chinensis,"张志松,闵天禄,许介眉等",402183,19640606,贵州省,1400,河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02114526.jpg,,,,,,,,,, +川鄂山茱萸,Cornus chinensis,"董洪进,王泽欢,尹志坚",WM-0425,20160505,云南省,1500~1800,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090111.jpg,,,,,,,,,, +川鄂山茱萸,Cornus chinensis,"傅德志,陈淑荣,邵毅贞等",1524,20140421,四川省,1300~1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021163.jpg,,,,,,,,,, +,Cornus controversa,"张志松,闵天禄,许介眉等",400958,19640524,贵州省,950,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114504.jpg,,,,,,,,,, +,Cornus controversa,"关克俭,汪劲武,李朝銮",1059,19640704,重庆市,1850,山坡密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02114498.jpg,,,,,,,,,, +,Cornus controversa,"张志松,闵天禄,许介眉等",400824,19640730,福建省,2150,矮林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114497.jpg,,,,,,,,,, +,Cornus hemsleyi,红水河植物考察队,2212,19890917,云南省,2500,石灰岩,杜鹃到高山栎灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991933.jpg,,,,,,,,,, +,Cornus hemsleyi,张树仁等,1904,20140614,四川省,1600~1900,山坡 林下 路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01918948.jpg,,,,,,,,,, +,Cornus hemsleyi,青藏队植被组,140,19740626,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01793726.jpg,,,,,,,,,, +,Cornus macrophylla var. macrophylla,谭少林,YLDP144C,20140829,云南,,无,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444217.jpg,,,,,,,,,, +,Cornus oblonga var. oblonga,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11805,20161109,西藏,2210,河谷杂木林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1452079.jpg,,,,,,,,,, +长圆叶梾木(原变种),Cornus oblonga var. oblonga,宋鼎;刘敏;魏定名;杨龙斌;李双斌;张桥蓉,CN244,20190221,云南,2173,林中,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1551069.jpg,,,,,,,,,, +小梾木,Cornus quinquenervis,武陵山植物考察队,3460,19880822,贵州省,500,石灰岩石边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0506401.jpg,,,,,,,,,, +小梾木,Cornus quinquenervis,"姜孝成, 唐妹, 卜剑超, 陈显胜, 宋灿, 丁平|1879, 吕杰",Jiangxc0437,20080728,湖南,,山地,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1334717.jpg,,,,,,,,,, +小梾木,Cornus quinquenervis,"蔡杰, 亚吉东, 余香琴, 苏勇, 李昌洪",14CS9160,20140521,云南,,河边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1334709.jpg,,,,,,,,,, +,Cornus ulotricha,"D.E.Boufford,C.Y.Xi,T.S.Ying etc.",26354,19940531,河南省,1150~950,In quercs forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01893929.jpg,,,,,,,,,, +,Cornus ulotricha,鄂神农架植考队,30738,19760626,湖北省,1500,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01020895.jpg,,,,,,,,,, +,Cornus ulotricha,青藏队,73-183,19730618,西藏自治区,2650,山沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00894195.jpg,,,,,,,,,, +,Cornus walteri,"关克俭,王文采",3090,19630910,四川省,2350,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091845.jpg,,,,,,,,,, +,Cornus walteri,孔冬梅,k0416,20140724,山西省,1597,阔叶林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036447.jpg,,,,,,,,,, +喜峰芹,Cortia depressa,西藏中草药普查队,875,19720730,西藏自治区,4400,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00725323.jpg,,,,,,,,,, +喜峰芹,Cortia depressa,,1758,19941005,四川省,3750,In rocky areas by roadside.,,无花有果,https://image.cvh.ac.cn/files/l/PE/00725322.jpg,,,,,,,,,, +喜峰芹,Cortia depressa,Y.Iokawa etc.,40029,20030702,,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264674.jpg,,,,,,,,,, +宽叶栓果芹,Cortiella caespitosa,西藏中草药普查队,4609,19721009,西藏自治区,5200,高山砾石草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935526.jpg,,,,,,,,,, +宽叶栓果芹,Cortiella caespitosa,K.S.Hao,1144,19300903,青海省,5000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00725332.jpg,,,,,,,,,, +,Cortiella cortioides,青藏队,74-2719,19740920,西藏自治区,4700,山坡岩石缝,,无花有果,https://image.cvh.ac.cn/files/l/PE/00725331.jpg,,,,,,,,,, +,Cortiella cortioides,"姜恕,金存礼",2439,19590727,四川省,3400,阳坡砾石,,有花无果,https://image.cvh.ac.cn/files/l/PE/00725330.jpg,,,,,,,,,, +栓果芹,Cortiella hookeri,钟补求,5678,19530614,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00725351.jpg,,,,,,,,,, +栓果芹,Cortiella hookeri,"罗建, 汪书丽",LiuJQ-08XZ-151,20080802,西藏,,高山草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336111.jpg,,,,,,,,,, +,Cortusa brotheri,,770035,19770622,河北省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00171128.jpg,,,,,,,,,, +,Cortusa brotheri,Xuejun Ge et al.,Ge130087,20130723,新疆维吾尔自治区 ,0~3100,亚高山草甸,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0768798.jpg,,,,,,,,,, +中亚假报春,Cortusa brotheri,新疆采集队,122,1978/5/31,新疆维吾尔族自治区,2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0331243.jpg,,,,,,,,,, +假报春,Cortusa matthioli,段长虹,Dch0171,20140704,山西省,1973,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035912.jpg,,,,,,,,,, +假报春,Cortusa matthioli,C.R.Fraser Jenkins,3366,19710720,,,in open Pinus forest.,,有花无果,https://image.cvh.ac.cn/files/l/PE/01883223.jpg,,,,,,,,,, +,Corybas taliensis,金效华,9066,20070714,云南省,1845,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825124.jpg,,,,,,,,,, +大理铠兰,Corybas taliensis,李剑武,4152,20140822,云南,2600,常绿阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028780.jpg,,,,,,,,,, +大理铠兰,Corybas taliensis,余奇,代文台,CIBYQ080,20190805,四川,3133,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1502792.jpg,,,,,,,,,, +顶冠黄堇,Corydalis acropteryx,"康藏植物考察队(Kham Expedition)(陈又生,高云东,周广明,何理,张宪春,马祥光)",10-560,20100724,四川省,3647,山谷云杉林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01874938.jpg,,,,,,,,,, +,Corydalis acropteryx,"Smith, Karl August Harald",3018,4-Aug-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00062212.jpg,,,,,,,,,, +铁线蕨叶黄堇,Corydalis adiantifolia,青藏考察队,1420,19870902,新疆维吾尔自治区,0,路边河滩旁,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0136549.jpg,,,,,,,,,, +铁线蕨叶黄堇,Corydalis adiantifolia,王作宾,7486,19600000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00168783.jpg,,,,,,,,,, +铁线蕨叶黄堇,Corydalis adiantifolia,生物研究所西藏考查队,3378,1974.7.3,新疆维吾尔自治区 ,3600,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00011206.jpg,,,,,,,,,, +东义紫堇,Corydalis adoxifolia,四川省植被调查队,2354,19730712,四川省,2850,山沟 灌丛旁,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934536.jpg,,,,,,,,,, +东义紫堇,Corydalis adoxifolia,四川省植被调查队,稻2354,19730712,四川,2850,山沟灌丛旁,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1204959.jpg,,,,,,,,,, +滇西灰绿黄堇,Corydalis adunca,PE西藏考察队,7053,20180609,西藏自治区,3244,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332529.jpg,,,,,,,,,, +滇西灰绿黄堇,Corydalis adunca,FLPH Sichuan Expedition,152916,20150913,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02282632.jpg,,,,,,,,,, +滇西灰绿黄堇,Corydalis adunca,吴玉虎等,5221,19900729,青海省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063021.jpg,,,,,,,,,, +小距紫堇,Corydalis appendiculata,T.T Yu,6265,19370615,四川省,3500,under thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308710.jpg,,,,,,,,,, +小距紫堇,Corydalis appendiculata,"田效文,张正华,汤宗孝",581,19810715,云南省,4550,高山草甸山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062850.jpg,,,,,,,,,, +阿墩紫堇,Corydalis atuntsuensis,汤宗孝 田效文 张正华,620,19810715,云南省,4550,高山草甸,山坡,水沟边,沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308658.jpg,,,,,,,,,, +阿墩紫堇,Corydalis atuntsuensis,"关克俭,王文采等",1113,19630730,四川省,4300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040263.jpg,,,,,,,,,, +,Corydalis balsamiflora,"张永田,郎楷永",4,19650626,四川省,2750,山坡水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308712.jpg,,,,,,,,,, +,Corydalis balsamiflora,E.H.Wilson,3179A,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00981394.jpg,,,,,,,,,, +珠芽紫堇,Corydalis balsamiflora,李宏庆等,SDP19840,20120324,上海市,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0012708.jpg,,,,,,,,,, +髯萼紫堇,Corydalis barbisepala,四川植物标本,9581,19750803,四川省,4000,路旁灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062965.jpg,,,,,,,,,, +髯萼紫堇,Corydalis barbisepala,G.Forrest,12991,19140000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00981408.jpg,,,,,,,,,, +囊距紫堇,Corydalis benecincta,青藏队,5021,19810818,四川省,4800,山坡流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062964.jpg,,,,,,,,,, +囊距紫堇,Corydalis benecincta,青藏队,2352,19810713,云南省,4500~4600,西坡流石滩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062854.jpg,,,,,,,,,, +碧江黄堇,Corydalis bijiangensis,怒江考查队,878,19780618,云南,0,河头,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1204966.jpg,,,,,,,,,, +双斑黄堇,Corydalis bimaculata,青藏队补点组,751344,19750812,西藏自治区,4000~4200,水生,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050393.jpg,,,,,,,,,, +双斑黄堇,Corydalis bimaculata,Ludlow Sherriff etc.,5853,19380517,,3900,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0136820.jpg,,,,,,,,,, +双斑黄堇,Corydalis bimaculata,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,416,20120801,西藏,,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230680.jpg,,,,,,,,,, +,Corydalis brunneovaginata,E. H. Wilson,2302,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00359280.jpg,,,,,,,,,, +鳞叶紫堇,Corydalis bulbifera,杨竞生,91-615,19910717,西藏自治区,4400,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062796.jpg,,,,,,,,,, +鳞叶紫堇,Corydalis bulbifera,杨竞生,91-615,1991-07-,西藏省,4400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0132675.jpg,,,,,,,,,, +鳞叶紫堇,Corydalis bulbifera,R.P.Fabges,1326,18940626,四川省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0136844.jpg,,,,,,,,,, +齿冠紫堇,Corydalis bulleyana,"韩裕丰,邓坤梅,陈永瑞",81-1074,19810710,云南省,3100,溪旁坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308724.jpg,,,,,,,,,, +齿冠紫堇,Corydalis bulleyana,T.T.Yu,5552,19370522,四川省,2600,Along mt.stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/00981418.jpg,,,,,,,,,, +灰岩紫堇,Corydalis calcicola,青藏队,3011,19810714,云南省,,山坡流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308771.jpg,,,,,,,,,, +灰岩紫堇,Corydalis calcicola,"D.E.Boufford,K.Fujikawa,S.L.Kelley etc.",39724,20070815,四川省,3900~4150,grassy meadows on south side of ridge scree slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045001.jpg,,,,,,,,,, +聂拉木黄堇,Corydalis cavei,中草药队,1788,19720905,西藏自治区,3800,路边石缝,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0136988.jpg,,,,,,,,,, +昌都紫堇,Corydalis chamdoensis,杨竞生,91-707,19910725,西藏自治区,4600,江空拉山,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00981604.jpg,,,,,,,,,, +昌都紫堇,Corydalis chamdoensis,吴玉虎,34435,20050719,青海省,4260,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0218091.jpg,,,,,,,,,, +掌叶紫堇,Corydalis cheirifolia,滇西北金沙江队,63-6324,19630731,云南省,2900,石灰岩隙,,有花无果,https://image.cvh.ac.cn/files/l/PE/00981624.jpg,,,,,,,,,, +掌叶紫堇,Corydalis cheirifolia,F.Rock,24188,Apr-32,四川省,1350,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0132698.jpg,,,,,,,,,, +,Corydalis cheirifolia,,15CS10423,,,,,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1320941.jpg,,,,,,,,,, +,Corydalis chrysosphaera,"张永田,郞楷永",2342,19650901,西藏自治区,4800,山坡草地冰川石流中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009209.jpg,,,,,,,,,, +金球黄堇,Corydalis chrysosphaera,,253,,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 007635.jpg,,,,,,,,,, +斑花黄堇,Corydalis conspersa,那木哉,s.n.,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062795.jpg,,,,,,,,,, +斑花黄堇,Corydalis conspersa,D.E.Boufford et al.,42312,20100726,四川省,4225~4775,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026530.jpg,,,,,,,,,, +斑花黄堇,Corydalis conspersa,,186,19640701,青海省,4850,山顶,,无花无果,https://image.cvh.ac.cn/files/l/PE/01901361.jpg,,,,,,,,,, +甬状黄堇,Corydalis cornuta,青藏队植被组,14912,19750715,西藏自治区,2800,沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0139056.jpg,,,,,,,,,, +角状黄堇,Corydalis cornuta,和旭、白洪兵,533324180519284LY,20180519,云南,1952,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009240.jpg,,,,,,,,,, +伞房黄堇,Corydalis corymbosa,北京所横断山队,3533,19810823,云南省,4150,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308695.jpg,,,,,,,,,, +伞房黄堇,Corydalis corymbosa,赵俊申,375,19570810,四川省,3850,高山草地石隙中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308668.jpg,,,,,,,,,, +大金紫堇,Corydalis dajingensis,谢磊,2004028,20040831,四川省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308671.jpg,,,,,,,,,, +,Corydalis dajingensis,"Smith, Karl August Harald",4352,15-Sep-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00015452.jpg,,,,,,,,,, +大金紫堇,Corydalis dajingensis,张挺,刘成,冯明建,20CS19915,20200924,四川,4207,路边岩石坡地,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1504971.jpg,,,,,,,,,, +迭裂黄堇,Corydalis dasyptera,何廷农,158,19650702,青海省,3500,阴坡灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063031.jpg,,,,,,,,,, +迭裂黄堇,Corydalis dasyptera,Anonymous,239,19640621,甘肃省,3650,南坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063027.jpg,,,,,,,,,, +,Corydalis davidii,"于胜祥,王伟",6402,20110830,云南省,,山谷常绿阔叶林,,无花无果,https://image.cvh.ac.cn/files/l/PE/02282584.jpg,,,,,,,,,, +,Corydalis davidii,236 四川任务组,318,19710720,四川省,800,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084997.jpg,,,,,,,,,, +德格紫堇,Corydalis degensis,"康藏植物考察队(Kham Expedition)(陈又生,高云东,周广明,何理,张宪春,马祥光)",10-830,20100727,四川省,4630~4730,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01874935.jpg,,,,,,,,,, +德格紫堇,Corydalis degensis,川农植物专业(58),270,19590623,四川,3980,阳坡、酸性土,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705600525.jpg,,,,,,,,,, +苍山黄堇,Corydalis delavayi,青藏队,12790,19830809,四川省,3800~3900,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308660.jpg,,,,,,,,,, +苍山黄堇,Corydalis delavayi,北京所横断山队,2099,19810728,云南省,4000~4200,高山草甸中时见 近上部较多,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042244.jpg,,,,,,,,,, +飞燕黄堇,Corydalis delphinioides,周仕顺,6227,20090527,云南省,3600,山顶凹地沼泽地中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308696.jpg,,,,,,,,,, +飞燕黄堇,Corydalis delphinioides,"李渤生,程树志",4338,19830427,西藏自治区,1900,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073062.jpg,,,,,,,,,, +密穗黄堇,Corydalis densispica,四川植物标本,1234,19720831,四川省,3800,高山潮湿的林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062917.jpg,,,,,,,,,, +密穗黄堇,Corydalis densispica,青藏队,2635,19810711,云南省,4200,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062859.jpg,,,,,,,,,, +不丹紫堇,Corydalis dorjii,孙航,周浙昆等,5404,19930422,西藏自治区,2000,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0139529.jpg,,,,,,,,,, +稀花黄堇,Corydalis dubia,PE西藏队,PE5946,20170905,西藏自治区,4780,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332061.jpg,,,,,,,,,, +,Corydalis dubia,"Kingdon-Ward, Frank",6163,27-Aug-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00062290.jpg,,,,,,,,,, +无冠紫堇,Corydalis ecristata,西藏中草药普查队,659,19720628,西藏自治区,4600~4700,阴坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01008074.jpg,,,,,,,,,, +短距克什米尔紫堇,Corydalis ecristata,B.M.Rai,342,19810922,,5500,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0139625.jpg,,,,,,,,,, +紫堇,Corydalis edulis,万定荣,112,19930509,湖北省,67,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062739.jpg,,,,,,,,,, +紫堇,Corydalis edulis,周长山,2021,19850420,河南省,800,林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062735.jpg,,,,,,,,,, +紫堇,Corydalis edulis,刘振兴,7,20080400,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062730.jpg,,,,,,,,,, +椭果黄堇,Corydalis ellipticarpa,四川植物标本,9775,19750816,四川省,3650,阴湿冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062936.jpg,,,,,,,,,, +粗距紫堇,Corydalis eugeniae,汤宗孝,1127,19830619,四川省,3950,山坡,山涧,草甸,草场,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308662.jpg,,,,,,,,,, +粗距紫堇,Corydalis eugeniae,青藏队植被组,9441,19760731,西藏自治区,5044,纳永国山,,有花无果,https://image.cvh.ac.cn/files/l/PE/00981291.jpg,,,,,,,,,, +粗距紫堇,Corydalis eugeniae,杨永昌,1014,19650620,青海省,4300,阴坡灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00981287.jpg,,,,,,,,,, +丝叶紫堇,Corydalis filisecta,应俊生 洪德元,988,19650823,西藏自治区,3800,Abies 林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934549.jpg,,,,,,,,,, +紫堇属,Corydalis filisecta,倪志诚 汪永泽 次多 次旦,170,19800623,西藏,4200,山坡灌丛林下,,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0002363.jpg,,,,,,,,,, +裂冠紫堇,Corydalis flaccida,Feng,8425,19401014,云南省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02308689.jpg,,,,,,,,,, +裂冠紫堇,Corydalis flaccida,Anonymous,2734,19740920,,4000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062826.jpg,,,,,,,,,, +裂冠紫堇,Corydalis flaccida,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1983,20130823,西藏自治区,4230,灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02000473.jpg,,,,,,,,,, +臭黄堇,Corydalis foetida,周仕顺,5704,20090515,云南省,2800,山坡杂木林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02063193.jpg,,,,,,,,,, +臭黄堇,Corydalis foetida,李馨,77350,19580509,四川省,2900,山沟中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01008558.jpg,,,,,,,,,, +臭黄堇,Corydalis foetida,R.P.Soulie,1561,,西藏自治区,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0139788.jpg,,,,,,,,,, +春丕黄堇,Corydalis franchetiana,张泽荣,周洪富,22619,19570708,四川省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00168266.jpg,,,,,,,,,, +新疆元胡,Corydalis glaucescens,"李安仁,朱家楠",10252,19590429,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901288.jpg,,,,,,,,,, +新疆元胡,Corydalis glaucescens,"Hang Sun,Tao Deng,Sergey Volis,Zhuo Zhou,Tojibaev ",17035,20140507,,1831,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892666.jpg,,,,,,,,,, +,Corydalis glaucescens,张挺,杨赵平,焦培培,张权,杨力,08CS467,20080727,新疆,2241,云杉林缘灌草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1234313.jpg,,,,,,,,,, +甘草叶紫堇,Corydalis glycyphyllos,D.E.Boufford et al.,42513,20100801,四川省,4300~4550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026570.jpg,,,,,,,,,, +甘草叶紫堇,Corydalis glycyphyllos,青藏队植被组,9988,19760901,西藏自治区,4780,砾石坡。,,有花无果,https://image.cvh.ac.cn/files/l/PE/00051588.jpg,,,,,,,,,, +库莽黄堇,Corydalis govaniana,西藏中草药普查队,539,19720626,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01901391.jpg,,,,,,,,,, +库莽黄堇,Corydalis govaniana,C.S.Chang et al.,NE020830,20021020,,2350,along the fotrest road,,有花无果,https://image.cvh.ac.cn/files/l/PE/01008609.jpg,,,,,,,,,, +纤细黄堇,Corydalis gracillima,PE西藏队,PE6104,20170907,西藏自治区,4398,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332444.jpg,,,,,,,,,, +纤细黄堇,Corydalis gracillima,北京所横断山队,3522,19810823,云南省,39~4300,冷杉林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02308734.jpg,,,,,,,,,, +丹巴黄堇,Corydalis grandiflora,K.L.Chu,7508,19400805,四川省,,on cleft slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01008641.jpg,,,,,,,,,, +钩距黄堇,Corydalis hamata,G.Forrest,13218,19140800,云南省,3666,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063160.jpg,,,,,,,,,, +钩距黄堇,Corydalis hamata,青藏队,11042,19760821,西藏自治区,4500~4600,高山阳坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062787.jpg,,,,,,,,,, +钩距黄堇,Corydalis hamata,四川植物标本,9054,19750627,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062664.jpg,,,,,,,,,, +半荷包紫堇,Corydalis hemidicentra,青藏队,2784,19810714,云南省,4500,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063196.jpg,,,,,,,,,, +半荷包紫堇,Corydalis hemidicentra,J.Rock,16251,28-Jun,四川省,3050,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0132834.jpg,,,,,,,,,, +假獐耳紫堇,Corydalis hepaticifolia,青藏队补点组,750752,19750725,西藏自治区,4900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901372.jpg,,,,,,,,,, +假獐耳紫堇,Corydalis hepaticifolia,青藏补点组,750752,19750725,西藏,4900,无,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1204999.jpg,,,,,,,,,, +异心紫堇,Corydalis heterocentra,,4382,19060800,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0673797.jpg,,,,,,,,,, +异心紫堇,Corydalis heterocentra,,25,19820518,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/065958.jpg,,,,,,,,,, +,Corydalis heterocentra,"Forrest, George",4382,6-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00062191.jpg,,,,,,,,,, +拟锥花黄堇,Corydalis hookeri,PE西藏考察队,7708,20180623,西藏自治区,4175,流石滩,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331704.jpg,,,,,,,,,, +拟锥花黄堇,Corydalis hookeri,那木哉,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062767.jpg,,,,,,,,,, +湿生紫堇,Corydalis humicola,"武素功,川经西",2220,19590715,四川省,3100,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01008739.jpg,,,,,,,,,, +湿生紫堇,Corydalis humicola,Courtois,38655,19260429,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00323185.jpg,,,,,,,,,, +湿生紫堇,Corydalis humicola,汉源队,546,19780624,四川,3000,潮湿的灌木丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705600154.jpg,,,,,,,,,, +卡惹拉黄堇,Corydalis inopinata,"Y.S.Chen,Z.Y.Chang,M. Deng,F.Q.Zhang,Y. Xu,W.T.Jin",13-2209,20130827,西藏自治区,4853,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02282599.jpg,,,,,,,,,, +卡惹拉黄堇,Corydalis inopinata,杨竞生,90-596,1990-09-,西藏省,5000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0132901.jpg,,,,,,,,,, +卡惹拉黄堇,Corydalis inopinata,H.J.Walton,,19040800,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0673914.jpg,,,,,,,,,, +藏南紫堇,Corydalis jigmei,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0392,20130805,西藏自治区,4706,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000447.jpg,,,,,,,,,, +裸茎黄堇,Corydalis juncea,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0348,20130805,西藏自治区,4600,山坡 灌丛 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000469.jpg,,,,,,,,,, +,Corydalis juncea,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-0577,20080722,西藏,4448,,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300608.jpg,,,,,,,,,, +多雄黄堇,Corydalis kingdonis,"程树志,李渤生",690,19820905,西藏自治区,4000~4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062764.jpg,,,,,,,,,, +多雄黄堇,Corydalis kingdonis,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,298,20120730,西藏,,路边,草本,有花有果,https://image.cvh.ac.cn/files/l/BJM/0230676.jpg,,,,,,,,,, +,Corydalis kingdonis,"Kingdon-Ward, F.",5865,23-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00062262.jpg,,,,,,,,,, +帕里紫堇,Corydalis kingii,PE西藏队,PE5302,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331823.jpg,,,,,,,,,, +狭距紫堇,Corydalis kokiana,"李文华,胡勇",476,19810731,云南省,580,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308723.jpg,,,,,,,,,, +狭距紫堇,Corydalis kokiana,杨竞生,91-580,19910709,西藏自治区,4450,多石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308701.jpg,,,,,,,,,, +高冠黄堇,Corydalis laelia,W.W.Smith.,4275,,西藏自治区,3900,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674050.jpg,,,,,,,,,, +高冠黄堇,Corydalis laelia,,1882,0,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674293.jpg,,,,,,,,,, +长冠紫堇,Corydalis lathyrophylla,横断山队植被组,4573,19830710,云南省,4200,水湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042095.jpg,,,,,,,,,, +长冠紫堇,Corydalis lathyrophylla,四川省植被调查队,稻3631,19730727,四川省,4700,高山灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009041.jpg,,,,,,,,,, +,Corydalis latiflora,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-2156,20130825,西藏自治区,4870,砾石草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000442.jpg,,,,,,,,,, +宽花紫堇,Corydalis latiflora,J.D.A.Stainton,5523,19660714,,4800,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674082.jpg,,,,,,,,,, +松潘黄堇,Corydalis laucheana,D.E.Boufford et al.,39789,20070815,四川省,3250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026606.jpg,,,,,,,,,, +松潘黄堇,Corydalis laucheana,秦岭队,10836,19590903,陕西省,,水旁 阴处 山谷 灌木丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01387710.jpg,,,,,,,,,, +,Corydalis lhasaensis,"张永田,郎楷永",1769,19650818,西藏自治区,4800,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308675.jpg,,,,,,,,,, +洛隆紫堇,Corydalis lhorongensis,杨竞生,90-255,19900717,西藏自治区,,湖边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062699.jpg,,,,,,,,,, +变根紫堇,Corydalis linstowiana,"伍煜庭,赵清盛",110801,19740420,四川省,1500,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062985.jpg,,,,,,,,,, +长苞紫堇,Corydalis longibracteata,,76-337,19760717,西藏自治区,3900,灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009119.jpg,,,,,,,,,, +长苞紫堇,Corydalis longibracteata,张林、李星月、张晓严,5-311,20180617,西藏,4022,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023650.jpg,,,,,,,,,, +长苞紫堇,Corydalis longibracteata,何明友、谭仲明,117057,1983-5 3,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0032416.jpg,,,,,,,,,, +,Corydalis longipes,西藏中草药普查队,3817,19720716,西藏自治区,3600,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00051626.jpg,,,,,,,,,, +毛黄堇,Corydalis longipes,M.Mikage etc.,9682681,19960916,,3500,on margin of thicket,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261008.jpg,,,,,,,,,, +罗平山黄堇,Corydalis lopinensis,左大磊,zdl022,20160213,云南省,1644,溪边,,,https://image.cvh.ac.cn/files/l/KUN/1288233.jpg,,,,,,,,,, +罗平山黄堇,Corydalis lopinensis,无,2856,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674251.jpg,,,,,,,,,, +,Corydalis lopinensis,"Delavay, J.M.",2409,1886-5-26,,,,,,https://image.cvh.ac.cn/files/l/P/P00744975.jpg,,,,,,,,,, +单叶紫堇,Corydalis ludlowii,Ledlow etc.,13881,19470611,西藏自治区,3600,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674252.jpg,,,,,,,,,, +,Corydalis ludlowii,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13881,11-Jun-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00062250.jpg,,,,,,,,,, +米林紫堇,Corydalis lupinoides,李渤生等,124,19820815,西藏自治区,4000~4200,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062672.jpg,,,,,,,,,, +,Corydalis lupinoides,罗建,汪书丽,LiuJQ-09XZ-246,20090620,西藏,3482,林缘灌丛,草地,,,https://image.cvh.ac.cn/files/l/KUN/1234342.jpg,,,,,,,,,, +狭叶马牙黄堇,Corydalis mayae,T.T.Yu,12210,19370717,云南省,3500,under bush woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009159.jpg,,,,,,,,,, +狭叶马黄堇,Corydalis mayae,F.Kingdon-Ward,9753,19310706,西藏自治区,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674329.jpg,,,,,,,,,, +锡金细裂黄堇,Corydalis meifolia var. sikkimensis,不祥,1819,19720905,西藏自治区,4600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/29054.jpg,,,,,,,,,, +暗绿紫堇,Corydalis melanochlora,北京所横断山队,2188,19810728,云南省,4100~4450,高山流石坡中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063143.jpg,,,,,,,,,, +暗绿紫堇,Corydalis melanochlora,Anonymous,422,19640701,甘肃省,3650,高山,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062983.jpg,,,,,,,,,, +小花紫堇,Corydalis minutiflora,四川中药普查队,15231,19600729,四川省,3500,河边石滩地 石坎 草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00934572.jpg,,,,,,,,,, +小花紫堇,Corydalis minutiflora,,15231,19600729,四川,,石滩、石坎上,,有花有果,https://image.cvh.ac.cn/files/l/SM/SM705600217.jpg,,,,,,,,,, +小花紫堇,Corydalis minutiflora,张银山,522223150503036 LY,20150503,贵州省,346.4,中生、阳性、中温、野生植物、灌丛、碱土,一年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0038974.jpg,,,,,,,,,, +疆堇,Corydalis mira,武素功,费勇等,3656,19880618,新疆维吾尔自治区,3250,in crack of rock,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674357.jpg,,,,,,,,,, +革吉黄堇,Corydalis moorcroftiana,青藏队,76-7766,19760615,西藏自治区,4200,波林河河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062698.jpg,,,,,,,,,, +尖突黄堇,Corydalis mucronifera,PE西藏队,PE5357,20170828,西藏自治区,4019,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332879.jpg,,,,,,,,,, +尖突黄堇,Corydalis mucronifera,吴玉虎,1603,19840812,青海省,4300,山沟沙石手滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062837.jpg,,,,,,,,,, +木里黄堇,Corydalis muliensis,T.T.Yu,6273,19370615,四川省,3600,under woods,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00934574.jpg,,,,,,,,,, +,Corydalis muliensis,T. T. Yu,6273,1937,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00359279.jpg,,,,,,,,,, +林生紫堇,Corydalis nemoralis,郎楷永等,2788,19830805,四川省,4100,卡子拉山冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821028.jpg,,,,,,,,,, +林生紫堇,Corydalis nemoralis,C.W.Wang,65562,19350800,西藏自治区,3400,"Under forest,top of mt.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01009223.jpg,,,,,,,,,, +林生紫堇,Corydalis nemoralis,王启无,65835,Aug-35,云南省,3400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0132933.jpg,,,,,,,,,, +,Corydalis nigroapiculata,刘尚武,3168,19890722,青海省,4100,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063265.jpg,,,,,,,,,, +,Corydalis nigroapiculata,青藏科考队,12822,19760817,西藏自治区,3800,刺柏林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062677.jpg,,,,,,,,,, +稀子黄堇,Corydalis oligosperma,"倪志诚,汪永泽,次多,次旦",1212,19800817,西藏自治区,4600,流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062666.jpg,,,,,,,,,, +,Corydalis oligosperma,C. W. Wang,65974,Aug-35,,3700,,,,https://image.cvh.ac.cn/files/l/HUH/A00359281.jpg,,,,,,,,,, +蛇果黄堇,Corydalis ophiocarpa,PE西藏考察队,7477,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332531.jpg,,,,,,,,,, +蛇果黄堇,Corydalis ophiocarpa,周仕顺,6158,20090526,云南省,3500,银杉箭竹阔叶混交林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02308733.jpg,,,,,,,,,, +蛇果黄堇,Corydalis ophiocarpa,张彩飞,2217,20100429,陕西省,1220,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247329.jpg,,,,,,,,,, +粗梗黄堇,Corydalis pachypoda,青藏队,624,19810601,云南省,3500,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308690.jpg,,,,,,,,,, +粗梗黄堇,Corydalis pachypoda,刘志安,22966,1980-08-,四川省,4200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0132979.jpg,,,,,,,,,, +岩生紫堇,Corydalis petrophila,"韩裕丰,邓坤梅,陈永瑞",81-1074,19810710,云南省,3100,溪旁坡地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02308748.jpg,,,,,,,,,, +岩生紫堇,Corydalis petrophila,FLPH Tibet Expedition,12-1679,20120919,西藏自治区,3498,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01961484.jpg,,,,,,,,,, +远志黄堇,Corydalis polygalina,PE西藏考察队,7644,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331706.jpg,,,,,,,,,, +,Corydalis polygalina,郎楷永等,2212,19830706,四川省,3900~4000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821027.jpg,,,,,,,,,, +多叶紫堇,Corydalis polyphylla,"徐连升,柯芮",150130,20150731,云南省,3745,山坡乱石堆,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02282634.jpg,,,,,,,,,, +多叶紫堇,Corydalis polyphylla,R.P.Soulie,s.n.,19030708,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063128.jpg,,,,,,,,,, +紫花紫堇,Corydalis porphyrantha,"Jin Xh,Wang LS,Wang Q et al.",ST2890,20130810,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01968663.jpg,,,,,,,,,, +紫花紫堇,Corydalis porphyrantha,T.T.Yu,19715,19370807,云南省,3500,mt.slop open & grassy place,herb perennial,有花无果,https://image.cvh.ac.cn/files/l/PE/00934648.jpg,,,,,,,,,, +,Corydalis porphyrantha,何兴金,王月,胡灏禹,陈德才,SCU-08137,20080816,四川,3584,林下,草本,,https://image.cvh.ac.cn/files/l/KUN/1234367.jpg,,,,,,,,,, +半裸茎黄堇,Corydalis potaninii,Tso-Pin Wang,5233,19360724,甘肃省,2700,灌木下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01901155.jpg,,,,,,,,,, +半裸茎黄堇,Corydalis potaninii,茂纹组,1218,19790802,四川省,3000,林路旁,阴湿,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1222984.jpg,,,,,,,,,, +草甸黄堇,Corydalis prattii,刘振书,932,19340727,四川省,3200,among bushes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009624.jpg,,,,,,,,,, +波密紫堇,Corydalis pseudoadoxa,方震东,239,19870729,云南省,4250,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003661.jpg,,,,,,,,,, +波密紫堇,Corydalis pseudoadoxa,西藏生物所植物资源队,3705,19830823,西藏自治区,4100,高山灌丛草甸中,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0002312.jpg,,,,,,,,,, +假髯萼紫堇,Corydalis pseudobarbisepala,郎楷永 李良千等,1127,19820818,四川省,3800~4000,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02308676.jpg,,,,,,,,,, +,Corydalis pseudobarbisepala,"Liljestrand, S.",L.153,22-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00062192.jpg,,,,,,,,,, +美花黄堇,Corydalis pseudocristata,"朱大海,冯正波,张超,王飞",20070628,20070606,四川省,3200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308665.jpg,,,,,,,,,, +美花紫堇,Corydalis pseudocristata,E.H.Whson,3175,0,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674279.jpg,,,,,,,,,, +甲格黄堇,Corydalis pseudodrakeana,杨竞生,90-145,19900711,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062685.jpg,,,,,,,,,, +短爪黄堇,Corydalis pseudodrakeana,Ludlow Sherriff etc.,5401,0,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0137009.jpg,,,,,,,,,, +甲格黄堇,Corydalis pseudodrakeana,陈泽映、胡刚等,111994,1980-5 1,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0032687.jpg,,,,,,,,,, +假多叶黄堇,Corydalis pseudofluminicola,吴中伦,32387,19580627,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009661.jpg,,,,,,,,,, +假多叶紫堇,Corydalis pseudofluminicola,无,1913,,西藏自治区,4600,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674888.jpg,,,,,,,,,, +假多叶紫堇,Corydalis pseudofluminicola,George Forrest,14494,19170000,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674906.jpg,,,,,,,,,, +假北紫堇,Corydalis pseudoimpatiens,刘尚武,3082,19890720,青海省,2800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063037.jpg,,,,,,,,,, +假北紫堇,Corydalis pseudoimpatiens,孙学刚等,6533,20060810,甘肃省,2790,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063035.jpg,,,,,,,,,, +拟裸茎黄堇,Corydalis pseudojuncea,郎楷永,3259,19660511,西藏自治区,2600,林下草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308664.jpg,,,,,,,,,, +,Corydalis pseudojuncea,徐波,陈光富,陈林杨,董金龙等,SunH-07ZX-1429,20080730,西藏,4418,高山灌丛,流石滩,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300626.jpg,,,,,,,,,, +翅瓣黄堇,Corydalis pterygopetala,"徐连升,柯芮",150113,20150727,云南省,3275,山坡乱石堆,,有花无果,https://image.cvh.ac.cn/files/l/PE/02282635.jpg,,,,,,,,,, +毛茎紫堇,Corydalis pubicaulis,"应俊生,洪德元",650154,19650523,西藏自治区,2600,村边路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062687.jpg,,,,,,,,,, +,Corydalis pubicaulis,郭本兆 王为义,8438,19710708,青海省,4000,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/27101.jpg,,,,,,,,,, +矮黄堇,Corydalis pygmaea,"吴征镒,陈书坤,杜庆等",75-1197,19750806,西藏自治区,4920,草甸或灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068002.jpg,,,,,,,,,, +,Corydalis pygmaea,罗建,汪书丽,任德智,LiuJQ-09XZ-ML028,20090926,西藏,4948,高山草甸,草本,,https://image.cvh.ac.cn/files/l/KUN/1234376.jpg,,,,,,,,,, +掌苞紫堇,Corydalis quantmeyeriana,Harry Smith,3661,19220723,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934658.jpg,,,,,,,,,, +掌苞紫堇,Corydalis quantmeyeriana,无,5315,19190520,甘肃省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675026.jpg,,,,,,,,,, +朗县黄堇,Corydalis quinquefoliolata,Ludlow et Sherriff,5503,19380609,西藏自治区,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675027.jpg,,,,,,,,,, +,Corydalis quinquefoliolata,"Ludlow, Sherriff, & Taylor",5503,9-Jun-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00062261.jpg,,,,,,,,,, +囊果黄堇,Corydalis retingensis,无,11094,19440801,西藏自治区,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0675079.jpg,,,,,,,,,, +,Corydalis rheinbabeniana,"陈伟烈,陈家瑞,郭柯等",7804,19840716,四川省,3500,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046922.jpg,,,,,,,,,, +扇苞黄堇,Corydalis rheinbabeniana,J.F.Rock,13003,25-Aug,甘肃省,1250,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0133098.jpg,,,,,,,,,, +粗糙黄堇,Corydalis scaberula,青藏队那曲分队,10787,19760805,西藏自治区,5100~5300,高山石砾草坡水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062679.jpg,,,,,,,,,, +粗糙黄堇,Corydalis scaberula,"康藏植物考察队(Kham Expedition)(陈又生,高云东,周广明,何理,张宪春,马祥光)",10-828,20100727,四川省,4630~4730,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01874956.jpg,,,,,,,,,, +粗糙黄堇,Corydalis scaberula,康藏植物考察队(Kham Expedition),10-0989,20100731,青海省,4600,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01874955.jpg,,,,,,,,,, +,Corydalis sherriffii,徐波,陈光富,陈林杨,董金龙等,SunH-07ZX-0893,20080725,西藏,4047,高山灌丛草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300639.jpg,,,,,,,,,, +巴噶紫堇,Corydalis sherriffii,,5969,19270718,西藏自治区,4500,rocky hillside,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675155.jpg,,,,,,,,,, +,Corydalis sherriffii,"Ludlow, F. & Sherriff, G.",5969,27-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00062260.jpg,,,,,,,,,, +匙苞黄堇,Corydalis spathulata,西藏队植被组,6056,19750902,西藏自治区,4900~5000,流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901395.jpg,,,,,,,,,, +,Corydalis spathulata,"Walton, H.J.",,1904,,,,,,https://image.cvh.ac.cn/files/l/P/P00745044.jpg,,,,,,,,,, +草黄堇,Corydalis straminea,K.T.Fu,914,19370702,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901260.jpg,,,,,,,,,, +草黄堇,Corydalis straminea,钟补求,83610,19580702,青海省,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901207.jpg,,,,,,,,,, +直茎黄堇,Corydalis stricta,Anonymous,1654,19640819,甘肃省,4000,山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/02063088.jpg,,,,,,,,,, +直茎黄堇,Corydalis stricta,新疆采集队,1861,19780803,新疆维吾尔自治区,3100,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02063087.jpg,,,,,,,,,, +直茎黄堇,Corydalis stricta,青藏队植被组,12828,19760616,西藏自治区,4250,石灰岩碎?屑,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060253.jpg,,,,,,,,,, +黄绿黄堇,Corydalis temolana,费勇,孙航等,211,19900723,西藏自治区,4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0678628.jpg,,,,,,,,,, +黄绿紫堇,Corydalis temolana,青藏队,2727,1981-7 1,云南省,4600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0032754.jpg,,,,,,,,,, +,Corydalis thyrsiflora,西藏中草药普查队,4493,19720822,西藏自治区,4500,高山草甸(灌丛下),,有花无果,https://image.cvh.ac.cn/files/l/PE/00051612.jpg,,,,,,,,,, +锥花黄堇,Corydalis thyrsiflora,J.F.Duthie,,1999-07-,,1200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0133258.jpg,,,,,,,,,, +,Corydalis thyrsiflora,何兴金,王长宝,刘爽,易欣,SCU-09-046,20090824,四川,3815,高山坡地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1234402.jpg,,,,,,,,,, +西藏对叶黄堇,Corydalis tibeto-oppositifolia,吴征镒等/C.Y.Wu et al.,75-978,19750718,西藏自治区,4600,,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934672.jpg,,,,,,,,,, +全冠黄堇,Corydalis tongolensis,FLPH Sichuan Expedition,151983,20150902,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02282642.jpg,,,,,,,,,, +全冠黄堇,Corydalis tongolensis,青藏队植被组,9672,19760820,西藏自治区,3700,河谷。,,有花无果,https://image.cvh.ac.cn/files/l/PE/00051634.jpg,,,,,,,,,, +全冠黄堇,Corydalis tongolensis,无,1004,,,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0675586.jpg,,,,,,,,,, +,Corydalis trachycarpa,"郭本兆,王为义",11531,19750719,青海省,4500,岩石下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063267.jpg,,,,,,,,,, +,Corydalis trachycarpa,杨竞生,91-719,19910729,西藏自治区,4450,郭庆口处寺草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062680.jpg,,,,,,,,,, +三裂紫堇,Corydalis trifoliata,H.T.Tsai,58040,1934-08-,云南省,4000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0133266.jpg,,,,,,,,,, +三裂紫堇,Corydalis trifoliata,青藏队,1115,19730813,西藏自治区,4200,山坡砾石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675630.jpg,,,,,,,,,, +察隅紫堇,Corydalis tsayulensis,倪志诚 汪永泽 次多 次旦,1110,19800815,西藏自治区,4200,山坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02308702.jpg,,,,,,,,,, +察隅紫堇,Corydalis tsayulensis,四川省植被调查队,3197,19730817,四川省,4800,干燥砾石滑坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029130.jpg,,,,,,,,,, +紫苞黄堇,Corydalis urbaniana,Harry Smith,4693,19220926,四川省,3600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00934675.jpg,,,,,,,,,, +,Corydalis urbaniana,"Smith, H.",4693,26-Sep-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00062211.jpg,,,,,,,,,, +,Corydalis wuzhengyiana,青藏科考队,12054,19760630,西藏自治区,3800,河边沙滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02308680.jpg,,,,,,,,,, +雅江紫堇,Corydalis yargongensis,D.E.Boufford et al.,42641,20100805,四川省,1650~4410,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026528.jpg,,,,,,,,,, +雅江紫堇,Corydalis yargongensis,茂汶队,850,19790716,四川,3500,草地、向阳,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705600483.jpg,,,,,,,,,, +大花滇黄堇,Corydalis yunnanensis var. megalantha,K.M.Feng,4296,19400529,云南省,3400,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040953.jpg,,,,,,,,,, +大花滇黄堇,Corydalis yunnanensis var. megalantha,不祥,1788,19720905,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/29462.jpg,,,,,,,,,, +杂多紫堇,Corydalis zadoiensis,杨竞生,91-703,19910725,西藏自治区,4500,江穷拉山流石滩或石砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308672.jpg,,,,,,,,,, +杂多紫堇,Corydalis zadoiensis,杨永昌,470,19640807,青海省,,山顶 半阴坡 草皮滑塌处,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01040961.jpg,,,,,,,,,, +怒江蜡瓣花,Corylopsis glaucescens,"韩裕丰,邓坤梅,陈永瑞",81-616,19810603,云南省,2400,常绿阔叶林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00819033.jpg,,,,,,,,,, +怒江蜡瓣花,Corylopsis glaucescens,俞德俊,2574,,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0327831.jpg,,,,,,,,,, +怒江蜡瓣花,Corylopsis glaucescens,G.Forrest,13516,19140000,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0327829.jpg,,,,,,,,,, +小果蜡瓣花,Corylopsis microcarpa,"杨红梅,朗校安等",1649,20140424,四川省,1900~2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021942.jpg,,,,,,,,,, +小果蜡瓣花,Corylopsis microcarpa,白水江采集队,4081,20070504,甘肃省,1670,山坡杂木林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826448.jpg,,,,,,,,,, +阔蜡瓣花,Corylopsis platypetala,龙茹等,90806018,20090806,湖北省,1400,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989380.jpg,,,,,,,,,, +阔蜡瓣花,Corylopsis platypetala,H.H.Chung,3724,19170829,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01667305.jpg,,,,,,,,,, +求江蜡瓣花,Corylopsis trabeculosa,王启无,67124,19351000,云南省,2500,Under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00819525.jpg,,,,,,,,,, +四川蜡瓣花,Corylopsis willmottiae,"张树仁,陈淑荣,朗校安等",1891,20140613,四川省,1400~1600,山坡 林下 沙土,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021941.jpg,,,,,,,,,, +四川蜡瓣花,Corylopsis willmottiae,Makoto Togashi,21,19680505,,950,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01794282.jpg,,,,,,,,,, +长穗蜡瓣花,Corylopsis yui,罗仲春,3535,19900510,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458418.jpg,,,,,,,,,, +长穗蜡瓣花,Corylopsis yui,王启无,67071,19351000,云南省,3000,Under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00819672.jpg,,,,,,,,,, +长穗蜡瓣花,Corylopsis yui,方文培、胡文光,51-455,19540713,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0328339.jpg,,,,,,,,,, +滇蜡瓣花,Corylopsis yunnanensis,尹志坚等,2341,20090917,云南省,2800,"roadsides,forest margins",,有花有果,https://image.cvh.ac.cn/files/l/PE/01922277.jpg,,,,,,,,,, +滇蜡瓣花,Corylopsis yunnanensis,,7802,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0328343.jpg,,,,,,,,,, +华榛,Corylus chinensis,白水江采集队,5622,20070905,甘肃省,1960~2350,林缘,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01812700.jpg,,,,,,,,,, +华榛,Corylus chinensis,赵常明,EX0400,20070905,湖北省,1670,阔叶林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01788946.jpg,,,,,,,,,, +华榛,Corylus chinensis,Shiu Ying Hu,13478,19740714,,,Arnold Arboretum,,无花有果,https://image.cvh.ac.cn/files/l/PE/01698630.jpg,,,,,,,,,, +刺榛,Corylus ferox var. ferox,李红、白洪兵,533324180901656LY,20180901,云南,3352,,乔木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009390.jpg,,,,,,,,,, +川榛,Corylus heterophylla var. sutchuenensis,梁同军,84,20150615,江西省,1500,生于山坡及山谷沟边灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044066.jpg,,,,,,,,,, +川榛,Corylus heterophylla var. sutchuenensis,张寿洲等,1004,20130926,四川省,2300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01990369.jpg,,,,,,,,,, +川榛,Corylus heterophylla var. sutchuenensis,三峡考察队,1895,20080717,重庆市,1185~1312,阴湿沟谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01864968.jpg,,,,,,,,,, +毛榛,Corylus mandshurica,"石硕,张涛",SZ4047,20140903,河北省,1785,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066880.jpg,,,,,,,,,, +毛榛,Corylus mandshurica,G.Nepli,s.n.,19570000,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003443.jpg,,,,,,,,,, +维西榛,Corylus wangii,王启无/C.W.Wang,68243,19350800,云南省,3400,Mountain slope,woody plant,无花有果,https://image.cvh.ac.cn/files/l/PE/01062681.jpg,,,,,,,,,, +维西榛,Corylus wangii,陈耀东等,2221,19881007,重庆市,1850,山坡 杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00734902.jpg,,,,,,,,,, +,Corylus wangii,,33,19830804,四川省,2200,高山,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0591659.jpg,,,,,,,,,, +滇榛,Corylus yunnanensis,红水河植物考察队,2287,19890619,云南省,1750,华山松-杉木林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984578.jpg,,,,,,,,,, +滇榛,Corylus yunnanensis,T.Naito et al. ,326,19860428,四川省,1650~1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810365.jpg,,,,,,,,,, +,Cosmos bipinnatus,肖崇礼,298,19580831,陕西省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018085.jpg,,,,,,,,,, +秋英,Cosmos bipinnatus,,2180,,,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00580383.jpg,,,,,,,,,, +,Cosmos bipinnatus,邬文祥,6344,19671006,江苏省,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00587237.jpg,,,,,,,,,, +莴笋花,Costus lacerus,M.K.Li,184,19390924,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075119.jpg,,,,,,,,,, +莴笋花,Costus lacerus,青藏队,74-4583,19740826,西藏自治区,850,山坡上,阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075172.jpg,,,,,,,,,, +矮黄栌,Cotinus nana,中甸队,1237,19620818,云南省,1810,岩石缝隙中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245337.jpg,,,,,,,,,, +矮黄栌,Cotinus nana,,11492,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0422494.jpg,,,,,,,,,, +四川黄栌,Cotinus szechuanensis,巴山采集队,5449,20110704,四川省,920,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873125.jpg,,,,,,,,,, +四川黄栌,Cotinus szechuanensis,白水江采集队,4136,20070504,甘肃省,700,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827900.jpg,,,,,,,,,, +尖叶栒子,Cotoneaster acuminatus,PE西藏考察队,7995,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332301.jpg,,,,,,,,,, +尖叶栒子,Cotoneaster acuminatus,横断山队植被组,4046,19830608,四川省,3300,云冷杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045679.jpg,,,,,,,,,, +灰栒子(原变种),Cotoneaster acutifolius var. acutifolius,郭本兆,7138,19700619,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/21371.jpg,,,,,,,,,, +匍匐栒子,Cotoneaster adpressus,唐宇丹等,BM023(2006-2908,20061016,西藏自治区,2891,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093386.jpg,,,,,,,,,, +匍匐栒子,Cotoneaster adpressus,巴山采集队,5905,20120702,四川省,1200,公路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066279.jpg,,,,,,,,,, +匍匐栒子,Cotoneaster adpressus,横断山队植被组,4348,19830702,云南省,3250~3650,阳山坡及路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045675.jpg,,,,,,,,,, +藏边栒子,Cotoneaster affinis,唐宇丹等,YD039(2006-2509,20060930,西藏自治区,2839,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01863430.jpg,,,,,,,,,, +藏边栒子,Cotoneaster affinis,,905,19730821,,4200,高山灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01640794.jpg,,,,,,,,,, +川康栒子,Cotoneaster ambiguus,张寿洲等,1106,20130927,四川省,,土生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01990297.jpg,,,,,,,,,, +川康栒子,Cotoneaster ambiguus,张志英,17308,19631018,甘肃省,1400,山坡乔灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01640988.jpg,,,,,,,,,, +细尖栒子,Cotoneaster apiculatus,鄂神农架植考队,30051,19760608,湖北省,1400,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086824.jpg,,,,,,,,,, +细尖栒子,Cotoneaster apiculatus,万涛等,FSB-783,20130709,四川省,,沿路,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994144.jpg,,,,,,,,,, +细尖栒子,Cotoneaster apiculatus,Chen Zhiduan et al.,960672,19960529,重庆市,1600~1610,Damp valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841301.jpg,,,,,,,,,, +,Cotoneaster bacillaris,J. M. Delavay,,1887-5-7,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00026217.jpg,,,,,,,,,, +泡叶栒子,Cotoneaster bullatus,红广渝,4037,20100730,四川省,1902,坡地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059165.jpg,,,,,,,,,, +泡叶栒子,Cotoneaster bullatus,Pi-Fong Lu,18639,20090801,台湾省,2000~2800,开阔地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01863104.jpg,,,,,,,,,, +泡叶栒子,Cotoneaster bullatus,白水江采集队,98,20060625,甘肃省,2350~2400,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01857059.jpg,,,,,,,,,, +黄杨叶栒子,Cotoneaster buxifolius,唐宇丹等,PX042(2006-2713),20061009,西藏自治区,3199,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093660.jpg,,,,,,,,,, +黄杨叶栒子,Cotoneaster buxifolius,红水河植物考察队,2102,19890613,云南省,2200,杜鹃-小叶栲灌丛 向阳,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982968.jpg,,,,,,,,,, +镇康栒子,Cotoneaster chengkangensis,中国科学植物研究所昆明工作站,52020,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00397317.jpg,,,,,,,,,, +,Cotoneaster chengkangensis,"孔航辉,罗江平,左雷,刘莹",YangQE3397,20110926,四川省,3106,沟边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1312898.jpg,,,,,,,,,, +,Cotoneaster conspicuus,于胜祥等,5741,20110818,西藏自治区,,沿途路旁山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01903282.jpg,,,,,,,,,, +,Cotoneaster conspicuus,Bertil Hylmo,9438,19791023,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01639035.jpg,,,,,,,,,, +厚叶栒子,Cotoneaster coriaceus,红水河植物考察队,923,19590505,广西壮族自治区,900,栎-松林缘 公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982966.jpg,,,,,,,,,, +厚叶栒子,Cotoneaster coriaceus,张树仁等,2068,20140618,四川省,1294~1300,山谷 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918975.jpg,,,,,,,,,, +厚叶栒子,Cotoneaster coriaceus,Y.M.Shui et al.,20887,20020200,云南省,1900,on roadsides on the upper of hills,,无花有果,https://image.cvh.ac.cn/files/l/PE/01863626.jpg,,,,,,,,,, +长柄矮生栒子,Cotoneaster dammerii var. radicans,,3510,,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0295842.jpg,,,,,,,,,, +长柄矮生栒子,Cotoneaster dammerii var. radicans,Pratt.,,,四川; SZECHWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00073775.jpg,,,,,,,,,, +木帚栒子,Cotoneaster dielsianus,唐宇丹等,BM013(2006-2896,20061015,西藏自治区,2641,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093363.jpg,,,,,,,,,, +木帚栒子,Cotoneaster dielsianus,陈明洪等,981342,19980700,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093339.jpg,,,,,,,,,, +散生栒子,Cotoneaster divaricatus,PE西藏考察队,7237,20180614,西藏自治区,4163,河谷坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332913.jpg,,,,,,,,,, +散生栒子,Cotoneaster divaricatus,黄河队,4311,19560601,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081987.jpg,,,,,,,,,, +散生栒子,Cotoneaster divaricatus,巴山采集队,3267,20100722,陕西省,1201,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066167.jpg,,,,,,,,,, +麻核栒子,Cotoneaster foveolatus,西藏队,66,19751101,西藏自治区,2700,路旁阳处灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02087772.jpg,,,,,,,,,, +麻核栒子,Cotoneaster foveolatus,"李良千,王忠涛,杜玉芬,卫然",225,20110912,甘肃省,2017~2110,林缘沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914246.jpg,,,,,,,,,, +麻核栒子,Cotoneaster foveolatus,巴山采集队,4833,20110628,四川省,1651,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872733.jpg,,,,,,,,,, +西南栒子,Cotoneaster franchetii,"H.Li,S.X.Yang,R.Li etc.",365,20020816,云南省,2550,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090641.jpg,,,,,,,,,, +西南栒子,Cotoneaster franchetii,"J.I.Jeon,H.S.Lee,H.J.Eom, Y.J.Park et B.Liu",SI1580,20100813,四川省,2276,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01993962.jpg,,,,,,,,,, +耐寒栒子,Cotoneaster frigidus,西藏队,30,19751013,西藏自治区,2960,山坡阳处疏林中野生,,无花有果,https://image.cvh.ac.cn/files/l/PE/02087754.jpg,,,,,,,,,, +耐寒栒子,Cotoneaster frigidus,Qin Hai-ning,665,19960208,,290,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01639086.jpg,,,,,,,,,, +粉叶栒子(原变种) ,Cotoneaster glaucophyllus var. glaucophyllus,邓朝义,522301140530093LY,20140530,贵州省,1431,灌丛、中生、阳性、钙质土、中温,灌木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0059153.jpg,,,,,,,,,, +球花栒子,Cotoneaster glomerulatus,北京所横断山队,2405,19810803,云南省,3100,云杉林内常见灌木,,有花有果,https://image.cvh.ac.cn/files/l/PE/01158391.jpg,,,,,,,,,, +球花栒子,Cotoneaster glomerulatus,C.W.Wang,65269,19350800,西藏自治区,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00396754.jpg,,,,,,,,,, +细弱栒子,Cotoneaster gracilis,黄河队,4284,19560530,甘肃省,1600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081986.jpg,,,,,,,,,, +细弱栒子,Cotoneaster gracilis,巴山采集队,1688,20080714,重庆市,1932,山间平坦草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851274.jpg,,,,,,,,,, +细弱栒子,Cotoneaster gracilis,巴山采集队,1883,20080719,陕西省,2300,高山水塘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851216.jpg,,,,,,,,,, +丹巴栒子,Cotoneaster harrysmithii,李馨,78291,19580802,四川省,3000,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00396861.jpg,,,,,,,,,, +,Cotoneaster harrysmithii,"张大才,李双智,罗康,梁群",SunH-07ZX-1252,20080802,西藏自治区,3868,高山栎林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1313065.jpg,,,,,,,,,, +灰毛钝叶栒子,Cotoneaster hebephyllus var. incanus,G.Forrest,10837,19240800,云南省,3333,Open scrub,,无花有果,https://image.cvh.ac.cn/files/l/PE/00396979.jpg,,,,,,,,,, +平枝栒子,Cotoneaster horizontalis,刘彬彬,P1922-6,20140506,重庆市,1042,山坡杂木林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02071190.jpg,,,,,,,,,, +平枝栒子,Cotoneaster horizontalis,刘彬彬,2059,20141012,甘肃省,1262,山坡路边灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069909.jpg,,,,,,,,,, +平枝栒子,Cotoneaster horizontalis,巴山采集队,3836,20100801,四川省,1890,坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059164.jpg,,,,,,,,,, +全缘栒子,Cotoneaster integerrimus,赤峰采集队,2-Z15,20080724,内蒙古自治区,1237,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02012114.jpg,,,,,,,,,, +全缘栒子,Cotoneaster integerrimus,杨昌友,751046,19750904,新疆维吾尔自治区,2300,河边灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01710512.jpg,,,,,,,,,, +中甸栒子,Cotoneaster langei,青藏队,12117,19830720,四川省,3200,石灰岩山坡 岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01158413.jpg,,,,,,,,,, +中甸栒子,Cotoneaster langei,青藏队,198,19810601,云南省,2985,云南松 高山栎林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01158409.jpg,,,,,,,,,, +,Cotoneaster microphyllus var. microphyllus,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 杨云珊",16CS14374,20161109,西藏,3075,路边石质山坡上,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1446702.jpg,,,,,,,,,, +小叶栒子,Cotoneaster microphyllus var. microphyllus,弥渡普查队,5329250557,20120718,云南省,2168,,灌木,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0008250.jpg,,,,,,,,,, +宝兴栒子,Cotoneaster moupinensis,陈明洪等,981221,19980700,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061878.jpg,,,,,,,,,, +宝兴栒子,Cotoneaster moupinensis,红水河植物考察队,2224,19890617,云南省,2500,石灰岩 杜鹃-高山栎灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01982935.jpg,,,,,,,,,, +,Cotoneaster multiflorus var. multiflorus,"刘成, 张挺, 李昌洪, 熊晓强",16CS12201,20160531,新疆,981,石质山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1448341.jpg,,,,,,,,,, +水栒子(原变种),Cotoneaster multiflorus var. multiflorus,张相宜、成瑞瑜、郭泳棂,CRY-00-AA-10-046,20200924,四川,3909,高山草甸,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02068788.jpg,,,,,,,,,, +光泽栒子,Cotoneaster nitens,,仁果145,19620510,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839030.jpg,,,,,,,,,, +光泽栒子,Cotoneaster nitens,Harry Smith,13003,19341026,四川省,2700,In declivo aprico,,无花无果,https://image.cvh.ac.cn/files/l/PE/01641733.jpg,,,,,,,,,, +光泽栒子,Cotoneaster nitens,Bertil Hylmo,9193,19650701,,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01639198.jpg,,,,,,,,,, +亮叶栒子,Cotoneaster nitidifolius,中美联合鄂西考察队,1801,19800925,湖北省,1900,Riparian association along stream,,有花有果,https://image.cvh.ac.cn/files/l/PE/00996995.jpg,,,,,,,,,, +亮叶栒子,Cotoneaster nitidifolius,李培元,6158,19590811,四川省,2000,山坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00524082.jpg,,,,,,,,,, +亮叶栒子,Cotoneaster nitidifolius,戴天伦,106035,19580923,重庆市,1800,生于灌木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00524081.jpg,,,,,,,,,, +两列栒子,Cotoneaster nitidus,青藏队,9726,19820827,云南省,1800,山坡 常绿阔叶林缘岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01158448.jpg,,,,,,,,,, +两列栒子,Cotoneaster nitidus,H.T.Tsai,58145,19340824,云南省 ,4000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0296526.jpg,,,,,,,,,, +两列栒子,Cotoneaster nitidus,K.L.Chu,604,19350000,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0296529.jpg,,,,,,,,,, +暗红栒子,Cotoneaster obscurus,中科院西南综考队川滇黔接壤分队,774,19650917,四川省,3300,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093517.jpg,,,,,,,,,, +暗红栒子,Cotoneaster obscurus,中国科学院西南综考队川滇黔接壤分队,433,19650520,云南省,2300,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01802475.jpg,,,,,,,,,, +暗红栒子,Cotoneaster obscurus,倪志诚等,3126,19820815,西藏自治区,2900,山谷灌丛林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01641536.jpg,,,,,,,,,, +毡毛栒子,Cotoneaster pannosus,巴山采集队,3057,20100723,四川省,695,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059142.jpg,,,,,,,,,, +毡毛栒子,Cotoneaster pannosus,巴山采集队,3426,20100723,陕西省,915,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059141.jpg,,,,,,,,,, +麻叶栒子,Cotoneaster rhytidophyllus,红水河植物考察队,2005,19890603,云南省,2000,石灰岩稀疏灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982932.jpg,,,,,,,,,, +麻叶栒子,Cotoneaster rhytidophyllus,三峡考察队,3074,20090901,重庆市,545~640,峡谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01857048.jpg,,,,,,,,,, +圆叶栒子,Cotoneaster rotundifolius,唐宇丹等,BS014(2006-2595,20061005,西藏自治区,3700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093387.jpg,,,,,,,,,, +圆叶栒子,Cotoneaster rotundifolius,李馨,71280,19570605,四川省,2850,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0296610.jpg,,,,,,,,,, +圆叶栒子,Cotoneaster rotundifolius,F.Forrest,2223,19961202,云南省 ,3050,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0296609.jpg,,,,,,,,,, +小叶红花栒子,Cotoneaster rubens var. minimus,K.L.Chu,7919,19400905,四川省,,on rocky place,shrub,无花有果,https://image.cvh.ac.cn/files/l/PE/00004567.jpg,,,,,,,,,, +柳叶栒子,Cotoneaster salicifolius,"李良千,王忠涛,杜玉芬,卫然",110,20110904,甘肃省,1250~1320,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914249.jpg,,,,,,,,,, +柳叶栒子,Cotoneaster salicifolius,"朱大海,张超,李小杰",4733,20070813,四川省,1550,河边林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01863590.jpg,,,,,,,,,, +柳叶栒子,Cotoneaster salicifolius,巴山采集队,2256,20080725,重庆市,1900,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851264.jpg,,,,,,,,,, +血色栒子,Cotoneaster sanguineus,"李渤生,李辉",14302,19901023,西藏自治区,3600,Betula 林缘空地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01364419.jpg,,,,,,,,,, +血色栒子,Cotoneaster sanguineus,T.T.Yu,12846,19370822,四川省,3600,among thickets,,无花无果,https://image.cvh.ac.cn/files/l/PE/00524569.jpg,,,,,,,,,, +康巴栒子,Cotoneaster sherriffii,陈伟烈等,5241,19840517,四川省,1800,桦山松林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710480.jpg,,,,,,,,,, +康巴栒子,Cotoneaster sherriffii,生态室高原组,10468,19800614,西藏自治区,3800,崖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494546.jpg,,,,,,,,,, +准噶尔栒子,Cotoneaster soongoricus,张会金等,42(2005-3052),20050822,新疆维吾尔自治区,1280,半阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093622.jpg,,,,,,,,,, +准噶尔栒子,Cotoneaster soongoricus,巴山采集队,1581,20080719,陕西省,2180,山坡灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851217.jpg,,,,,,,,,, +准噶尔栒子,Cotoneaster soongoricus,巴山采集队,97,20080707,重庆市,1690,林中路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851214.jpg,,,,,,,,,, +高山栒子,Cotoneaster subadpressus,,547,19721000,河北省,,高山,,无花无果,https://image.cvh.ac.cn/files/l/PE/01236919.jpg,,,,,,,,,, +高山栒子,Cotoneaster subadpressus,青藏队,13422,19830826,四川省,3600,山坡 岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01147660.jpg,,,,,,,,,, +高山栒子,Cotoneaster subadpressus,赖国祥,235,,台湾省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00562413.jpg,,,,,,,,,, +毛叶水栒子,Cotoneaster submultiflorus,PE西藏考察队,7204,20180623,西藏自治区,3045~3398,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332916.jpg,,,,,,,,,, +毛叶水栒子,Cotoneaster submultiflorus,刘彬彬,3967,20180720,北京市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02234056.jpg,,,,,,,,,, +藏南栒子,Cotoneaster taylorii,"唐宇丹,林秦文",2010-167,20100927,西藏自治区,3721,羊湖背面山坡 干燥 沙石 全光照,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039488.jpg,,,,,,,,,, +,Cotoneaster taylorii,"Ludlow, Frank: Sherriff, George & Taylor, George",4246,13-May-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00010975.jpg,,,,,,,,,, +细枝栒子,Cotoneaster tenuipes,唐宇丹等,BS025(2006-2609,20061006,西藏自治区,3478,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093382.jpg,,,,,,,,,, +细枝栒子,Cotoneaster tenuipes,D.E.Boufford et al.,38620,20070729,四川省,3350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902599.jpg,,,,,,,,,, +细枝栒子,Cotoneaster tenuipes,廉永善等,96818,19960819,甘肃省,2550,山沟坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01710530.jpg,,,,,,,,,, +疣枝栒子,Cotoneaster verruculosus,尹志坚等,1578,20090722,云南省,3150,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902142.jpg,,,,,,,,,, +疣枝栒子,Cotoneaster verruculosus,管中天,8022,19590423,四川省,2850~3250,高山灌木草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01641407.jpg,,,,,,,,,, +,Cotoneaster wardii,"罗建,汪书丽,任德智",L020,20100902,西藏自治区,2975,林缘灌丛,草地,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1313229.jpg,,,,,,,,,, +白毛栒子,Cotoneaster wardii,昆植植物群落标本,20,1981,云南省,1900,小石积,木犀灌丛,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0113836.jpg,,,,,,,,,, +西北栒子,Cotoneaster zabelii,Kris Bachtell等,24,20020916,山西省,1518,河边 开阔坡地 沙石土壤,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093656.jpg,,,,,,,,,, +西北栒子,Cotoneaster zabelii,科学院黄河队甘一队,2283,19560814,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082264.jpg,,,,,,,,,, +杯药草,Cotylanthera paucisquama,Jin Xiaohua et Zhang Liang,11212,20110810,云南省,2100,subtropical evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02025173.jpg,,,,,,,,,, +杯药草,Cotylanthera paucisquama,植物地理调查队,210,19780703,重庆市,1800,林下腐生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01273034.jpg,,,,,,,,,, +杯药草,Cotylanthera paucisquama,张挺、王文治、丰艳飞,12CS4161,20120731,云南,2147,阔叶林下腐木下,腐生草本,,https://image.cvh.ac.cn/files/l/KUN/1395758.jpg,,,,,,,,,, +丝毛刺头菊,Cousinia lasiophylla,西植新疆队,2135,19780729,新疆维吾尔自治区,3000,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030013.jpg,,,,,,,,,, +丝毛刺头菊,Cousinia lasiophylla,西植新疆队,2135,1978.7.2,新疆维吾尔自治区 ,3000,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042414.jpg,,,,,,,,,, +丝毛刺头菊,Cousinia lasiophylla,西植新疆队,2135,1978729,,3000,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022852.jpg,,,,,,,,,, +光苞刺头菊,Cousinia leiocephala,林有润,74355,19740802,新疆维吾尔自治区,1180,荒坡凹地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01565650.jpg,,,,,,,,,, +光苞刺头菊,Cousinia leiocephala,"刘成, 亚吉东, 迟建才",15CS10157,20150611,新疆,,草场,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375947.jpg,,,,,,,,,, +光苞刺头菊,Cousinia leiocephala,关克俭,3143,1957.8.7,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042418.jpg,,,,,,,,,, +硬苞刺头菊,Cousinia sclerolepis,陈又生,13-2289,20130906,新疆维吾尔自治区,3160,荒漠草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02013843.jpg,,,,,,,,,, +硬苞刺头菊,Cousinia sclerolepis,,73-162,1973.6.2,新疆维吾尔自治区 ,3100,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042424.jpg,,,,,,,,,, +硬苞刺头菊,Cousinia sclerolepis,,73-162,1973624,,3100,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022862.jpg,,,,,,,,,, +毛苞刺头菊,Cousinia thomsonii,陈又生,9816,20090915,西藏自治区,3800~4000,山谷河滩碎石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052642.jpg,,,,,,,,,, +怒江泡花树,Craibiodendron forrestii,王啟无,刘瑛,86837,19400214,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00041635.jpg,,,,,,,,,, +柳叶金叶子,Craibiodendron henryi,780植被组,390,19781114,云南省,2000,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01855961.jpg,,,,,,,,,, +柳叶金叶子,Craibiodendron henryi,H.T.Tsai,58770,19331012,云南省 ,2800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0434786.jpg,,,,,,,,,, +云南金叶子,Craibiodendron yunnanense,青藏队植被组,,19731023,西藏自治区,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055217.jpg,,,,,,,,,, +云南金叶子,Craibiodendron yunnanense,金效华,10338,20100519,云南省,3000,in deciduous forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992664.jpg,,,,,,,,,, +云南金叶子,Craibiodendron yunnanense,,8361,19120600,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0434951.jpg,,,,,,,,,, +滇桐,Craigia yunnanensis,780植被组,215,19781111,云南省,1900,杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01490253.jpg,,,,,,,,,, +滇桐,Craigia yunnanensis,Kweichow Exped,7042,19300909,贵州省,500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0234804.jpg,,,,,,,,,, +滇桐,Craigia yunnanensis,S.P.Ko,55838,19350928,广西壮族自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0234801.jpg,,,,,,,,,, +簇序草,Craniotome furcata,"Jin Xh,Wang LS Wang Q,Wei R. Fu ZX Feng YL",ST2183,20130805,云南省,2000~3400,apline meadow到沟谷林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020837.jpg,,,,,,,,,, +簇序草,Craniotome furcata,陈又生等,659,20111118,西藏自治区,,山谷灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011145.jpg,,,,,,,,,, +,Crassocephalum crepidioides,"刘正宇,张军等",RQHZ06202,20141103,四川省,783,黄壤草丛荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115314.jpg,,,,,,,,,, +,Crassocephalum crepidioides,"刘正宇,张军等",RQHZ06412,20140925,重庆市,916,黄壤 草丛 荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115283.jpg,,,,,,,,,, +,Crassocephalum crepidioides,PE-BO Team(Zhang X-C etc.),372,20131214,,,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039928.jpg,,,,,,,,,, +中甸山楂,Crataegus chungtienensis,康藏植物考察队,10-2642,20100823,云南省,3356,灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01966596.jpg,,,,,,,,,, +中甸山楂,Crataegus chungtienensis,"李文华,廖俊国,胡勇",SP82-9-2,19820706,四川省,3100,高山峡谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01153479.jpg,,,,,,,,,, +野山楂,Crataegus cuneata,川黔队,1839,19561014,贵州省,1400,山坡 阳 灌林丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083597.jpg,,,,,,,,,, +野山楂,Crataegus cuneata,伏牛山调查队,196,19610915,河南省,,草地山谷阴处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01863664.jpg,,,,,,,,,, +野山楂,Crataegus cuneata,09大围山实习队,906133,20090604,湖南省,1300~800,山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01863560.jpg,,,,,,,,,, +甘肃山楂,Crataegus kansuensis,李才贵,120,19840628,山西省,1750,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081106.jpg,,,,,,,,,, +甘肃山楂,Crataegus kansuensis,昌平队,180,20010504,北京市,500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026655.jpg,,,,,,,,,, +甘肃山楂,Crataegus kansuensis,云台山采集队,60,20080921,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026589.jpg,,,,,,,,,, +滇西山楂,Crataegus oresbia,George Forrest,30043,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01153574.jpg,,,,,,,,,, +滇西山楂,Crataegus oresbia,姜恕等,232,19660625,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00534129.jpg,,,,,,,,,, +山楂,Crataegus pinnatifida,,1144,19630816,吉林省,644,公路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109171.jpg,,,,,,,,,, +山楂,Crataegus pinnatifida,,42,19790713,辽宁省,,山地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094364.jpg,,,,,,,,,, +山楂,Crataegus pinnatifida,李才贵,43,19840528,山西省,1930,山脊,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081102.jpg,,,,,,,,,, +云南山楂,Crataegus scabrifolia,"H.Li,S.X.Yang,R.Li etc.",419,20020816,云南省,2550,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109027.jpg,,,,,,,,,, +云南山楂,Crataegus scabrifolia,红水河植物考察队,89-73,19890418,广西壮族自治区,650,公路边疏林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01982931.jpg,,,,,,,,,, +大花蔓龙胆,Crawfurdia angustata,陈伟烈,15116,19800924,西藏自治区,3300,林下灌丛中均有生长,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048680.jpg,,,,,,,,,, +大花蔓龙胆,Crawfurdia angustata,T.T.Yu,20554,19381007,云南省,1500,Upon woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01542035.jpg,,,,,,,,,, +大花蔓龙胆,Crawfurdia angustata,H.T.Tsai,54498,19331029,云南省 ,1800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0489164.jpg,,,,,,,,,, +云南蔓龙胆,Crawfurdia campanulacea,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T333,20160919,西藏自治区,2453,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233460.jpg,,,,,,,,,, +云南蔓龙胆,Crawfurdia campanulacea,K.M.Feng,Feng 8450,19401018,云南省,,沟边杂林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531993.jpg,,,,,,,,,, +云南蔓龙胆,Crawfurdia campanulacea,章绍尧,4079,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0489175.jpg,,,,,,,,,, +裂萼蔓龙胆(原变种),Crawfurdia crawfurdioides var. crawfurdioides,白洪兵、李红,533324180825421LY,20180825,云南,3631,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009870.jpg,,,,,,,,,, +,Crawfurdia crawfurdioides var. crawfurdioides,"Forrest, George",14789,1917,,,,,,https://image.cvh.ac.cn/files/l/E/E00001634.jpg,,,,,,,,,, +披针叶蔓龙胆,Crawfurdia delavayi,陶德定,221,19730921,云南省,2200,灌丛草坡林上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591817.jpg,,,,,,,,,, +披针叶蔓龙胆,Crawfurdia delavayi,,s.n.,18891229,云南省 ,4000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0489180.jpg,,,,,,,,,, +细柄蔓龙胆,Crawfurdia gracilipes,K.M.Feng,Feng 8276,19401008,云南省,,岩坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01542024.jpg,,,,,,,,,, +细柄蔓龙胆,Crawfurdia gracilipes,邓良,5711,19571119,广东省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00047573.jpg,,,,,,,,,, +细柄蔓龙胆,Crawfurdia gracilipes,白洪兵、李红,533324180921981LY,20180921,云南,3670,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009926.jpg,,,,,,,,,, +毛叶蔓龙胆,Crawfurdia puberula,青藏补点组,1804,19750902,西藏自治区,3200,林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/550432.jpg,,,,,,,,,, +穗序蔓龙胆,Crawfurdia speciosa,"程树志,李渤生",1046,19820924,西藏自治区,2200,林边常绿阔叶林缘时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02103342.jpg,,,,,,,,,, +穗序蔓龙胆,Crawfurdia speciosa,C.S.Chang S.P.Hong U.Kang et al.,NE020501,20021015,,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440277.jpg,,,,,,,,,, +狭叶垂头菊,Cremanthodium angustifolium,陈又生,9617,20090827,四川省,4500,流水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053242.jpg,,,,,,,,,, +狭叶垂头菊,Cremanthodium angustifolium,"田效文,汤宗孝,张正华",718,19810729,云南省,3600,山间平坝草甸草场,,有花有果,https://image.cvh.ac.cn/files/l/PE/01830892.jpg,,,,,,,,,, +宽舌垂头菊,Cremanthodium arnicoides,陈又生,9794,20090915,西藏自治区,3700,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053257.jpg,,,,,,,,,, +宽舌垂头菊,Cremanthodium arnicoides,魏来、郝加琛,15317,20150727,西藏,3977,山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0026038.jpg,,,,,,,,,, +不丹垂头菊,Cremanthodium bhutanicum,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1610,20130818,西藏自治区,,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992462.jpg,,,,,,,,,, +不丹垂头菊,Cremanthodium bhutanicum,方震东、刘琳、李红、和光、史小武、赵卫东、陈洁,K-2156,20020927,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 007253.jpg,,,,,,,,,, +不丹垂头菊,Cremanthodium bhutanicum,刘尚武,3493,19880819,西藏,4500,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028363.jpg,,,,,,,,,, +短缨垂头菊,Cremanthodium brachychaetum,王启无/C.W.Wang,64665,19350700,云南省,3500,grassy slope,Herbs,有花无果,https://image.cvh.ac.cn/files/l/PE/00030015.jpg,,,,,,,,,, +,Cremanthodium brachychaetum,C. W. Wang,64621,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00124647.jpg,,,,,,,,,, +珠芽垂头菊,Cremanthodium bulbilliferum,X.H.Jin et al.,DLJ-ET 1810,20080710,西藏自治区,,"conifer forest,",,有花无果,https://image.cvh.ac.cn/files/l/PE/02053245.jpg,,,,,,,,,, +珠芽垂头菊,Cremanthodium bulbilliferum,"陈又生,毕延超",11-166,20110818,云南省,4361,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052009.jpg,,,,,,,,,, +柴胡叶垂头菊,Cremanthodium bupleurifolium,,726,19600817,西藏自治区,4100,高山无树处草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831218.jpg,,,,,,,,,, +柴胡叶垂头菊,Cremanthodium bupleurifolium,"田效文,汤宗孝,张正华",797,19810806,云南省,3820,小叶杜鹃花灌丛草甸草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/01831190.jpg,,,,,,,,,, +长鞘垂头菊,Cremanthodium calcicola,青藏队,3779,19810805,四川省,4200,河滩灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111112.jpg,,,,,,,,,, +长鞘垂头菊,Cremanthodium calcicola,Xiang JY,09-366,20090807,西藏自治区,3500,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01958819.jpg,,,,,,,,,, +长鞘垂头菊,Cremanthodium calcicola,北京所横断山队,3006,19810811,云南省,3880,高山沼泽草甸常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01535788.jpg,,,,,,,,,, +钟花垂头菊,Cremanthodium campanulatum,陈又生,9687,20090831,云南省,4500~4600,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053251.jpg,,,,,,,,,, +钟花垂头菊,Cremanthodium campanulatum,X.H.Jin et al.,DLJ-ET 1965,20080713,西藏自治区,4500,"conifer forest,",,有花无果,https://image.cvh.ac.cn/files/l/PE/02053246.jpg,,,,,,,,,, +钟花垂头菊,Cremanthodium campanulatum,陈又生,9664,20090830,四川省,4330,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053093.jpg,,,,,,,,,, +错那垂头菊,Cremanthodium conaense,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1011,20130812,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992460.jpg,,,,,,,,,, +错那垂头菊,Cremanthodium conaense,刘尚武,3489,19880819,西藏,4700,半阴坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028362.jpg,,,,,,,,,, +兜鞘垂头菊,Cremanthodium cucullatum,H.T.Tsai,53763,19330817,云南省,3500,on open slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570733.jpg,,,,,,,,,, +兜鞘垂头菊,Cremanthodium cucullatum,H.T.Tsai,53763,19791130,云南省 ,0~3600,,herb.,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0597404.jpg,,,,,,,,,, +仙客来垂头菊,Cremanthodium cyclaminanthum,"汤宗孝,田效文,孙庆国",270,19820709,四川省,4250,高山灌丛草场山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01831447.jpg,,,,,,,,,, +仙来客垂头菊,Cremanthodium cyclaminanthum,杨增宏,7303,19700921,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/041112.jpg,,,,,,,,,, +稻城垂头菊,Cremanthodium daochengense,陈又生,9621,20090827,四川省,4598,湿沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052018.jpg,,,,,,,,,, +稻城垂头菊,Cremanthodium daochengense,张大才等,DC-2-4-7,20170725,四川,4400,沼泽灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0011438.jpg,,,,,,,,,, +喜马拉雅垂头菊,Cremanthodium decaisnei,D.E.Boufford et al.,42549,20100803,四川省,4450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917517.jpg,,,,,,,,,, +喜马拉雅垂头菊,Cremanthodium decaisnei,杨竞生,90-232,19900715,西藏自治区,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831207.jpg,,,,,,,,,, +喜马拉雅垂头菊,Cremanthodium decaisnei,刘尚武,304,19650803,青海省,4800,砾石地潮湿边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830930.jpg,,,,,,,,,, +大理垂头菊,Cremanthodium delavayi,G.Forrest.,26983,19250700,云南省,4333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855630.jpg,,,,,,,,,, +大理垂头菊,Cremanthodium delavayi,George Forrest,29889,,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570775.jpg,,,,,,,,,, +盘花垂头菊,Cremanthodium discoideum,FLPH Tibet Expedition,12-0292,20120907,西藏自治区,,湿草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967094.jpg,,,,,,,,,, +盘花垂头菊,Cremanthodium discoideum,"陈伟烈,陈家瑞,郭柯等",6897,19840628,四川省,3400,山谷草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01831452.jpg,,,,,,,,,, +盘花垂头菊,Cremanthodium discoideum,青甘队,1698,19590808,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01831451.jpg,,,,,,,,,, +细裂垂头菊,Cremanthodium dissectum,T.T.Yu,20055,19380903,云南省,3000,Mt.slope open & sandy place,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570809.jpg,,,,,,,,,, +细裂垂头菊,Cremanthodium dissectum,张盖曾,49,19760808,青海省,3500,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00488238.jpg,,,,,,,,,, +细裂垂头菊,Cremanthodium dissectum,Y.C.Wu,363,,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00488239.jpg,,,,,,,,,, +红花垂头菊,Cremanthodium farreri,"程树志,李渤生",22,19820814,西藏自治区,4150,高山灌丛草甸中平缓湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067847.jpg,,,,,,,,,, +红花垂头菊,Cremanthodium farreri,H.T.Tsai,58024,19340818,云南省,4000,Pi-lo-shan,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570880.jpg,,,,,,,,,, +红花垂头菊,Cremanthodium farreri,G.Forrest.,24883,19240000,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0597419.jpg,,,,,,,,,, +矢叶垂头菊,Cremanthodium forrestii,"徐连升,柯芮",150146,20150000,云南省,,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084625.jpg,,,,,,,,,, +矢叶垂头菊,Cremanthodium forrestii,R.P.Soulie.,1948,19030708,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042984.jpg,,,,,,,,,, +腺毛垂头菊,Cremanthodium glandulipilosum,西藏队植被组,6106,19750907,西藏自治区,5200,高山河谷湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570915.jpg,,,,,,,,,, +灰绿垂头菊,Cremanthodium glaucum,"陈又生,王泽欢",9382,20090810,西藏自治区,4340~4400,草坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053248.jpg,,,,,,,,,, +灰绿垂头菊,Cremanthodium glaucum,"杨亲二,孔宏智",98-204,19980820,云南省,3300,矿山附近山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831189.jpg,,,,,,,,,, +灰绿垂头菊,Cremanthodium glaucum,俞德俊,12177,19370716,云南省 ,0~3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0597425.jpg,,,,,,,,,, +矮垂头菊,Cremanthodium humile,,524,19640719,青海省,4600~4700,山顶或近山顶草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082977.jpg,,,,,,,,,, +矮垂头菊,Cremanthodium humile,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1606,20130818,西藏自治区,,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992481.jpg,,,,,,,,,, +矮垂头菊,Cremanthodium humile,D.E.Boufford et al.,42318,20100726,四川省,4225~4775,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01917532.jpg,,,,,,,,,, +条裂垂头菊,Cremanthodium laciniatum,"倪志诚,汪永泽,次多,次旦",1213,19800817,西藏自治区,4600,高山流石坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571001.jpg,,,,,,,,,, +,Cremanthodium laciniatum,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-128-B17,20190819,四川,4242,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260036.jpg,,,,,,,,,, +舌叶垂头菊,Cremanthodium lingulatum,西藏中草药普查队,4019,19720717,西藏自治区,4600~5000,山坡草甸灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571045.jpg,,,,,,,,,, +舌叶垂头菊,Cremanthodium lingulatum,H.T.Tsai,59959,19331022,云南省 ,0~2800,,herb.,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0597448.jpg,,,,,,,,,, +,Cremanthodium microglossum,T.N.Ho et al,1691,19960812,青海省,4700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01822145.jpg,,,,,,,,,, +,Cremanthodium microglossum,北京所横断山队,3238,19810818,云南省,4200~4300,高山流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571049.jpg,,,,,,,,,, +,Cremanthodium microglossum,王作宾,14531,19510722,甘肃省,4100,生乱石滩上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571046.jpg,,,,,,,,,, +小叶垂头菊,Cremanthodium microphyllum,西藏中草药普查队,4454,19720821,西藏自治区,4800~5000,倒石堆,,有花无果,https://image.cvh.ac.cn/files/l/PE/01581323.jpg,,,,,,,,,, +小叶垂头菊,Cremanthodium microphyllum,王作宝,14531,19510722,甘肃省,0~4100,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0597449.jpg,,,,,,,,,, +小叶垂头菊,Cremanthodium microphyllum,王启无C.W.Wang,68917,19350800,云南省,3700,grassy slope,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00488258.jpg,,,,,,,,,, +小垂头菊,Cremanthodium nanum,郭柯,K-152,19900727,青海省,5160,高山岩?坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060113.jpg,,,,,,,,,, +小垂头菊,Cremanthodium nanum,T.T.Yu,9320,19370730,云南省,4200,Rocky hill,,有花有果,https://image.cvh.ac.cn/files/l/PE/01831191.jpg,,,,,,,,,, +小垂头菊,Cremanthodium nanum,西藏考察队,3889,19740808,西藏自治区,5000~5300,阴坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01797508.jpg,,,,,,,,,, +尼泊尔垂头菊,Cremanthodium nepalense,青藏队植被组,7683,19750902,西藏自治区,4600~4800,冰碛丘陵 水边 湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01581319.jpg,,,,,,,,,, +显脉垂头菊,Cremanthodium nervosum,西藏中草药普查队,1694,19720831,西藏自治区,3500~3600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01581321.jpg,,,,,,,,,, +壮观垂头菊,Cremanthodium nobile,陈又生,9645,20090828,四川省,4500~4600,灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052008.jpg,,,,,,,,,, +壮观垂头菊,Cremanthodium nobile,陈又生,9737,20090905,云南省,3400,向阳草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052006.jpg,,,,,,,,,, +矩叶垂头菊,Cremanthodium oblongatum,青藏队,3917,19810806,四川省,4700,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111063.jpg,,,,,,,,,, +矩叶垂头菊,Cremanthodium oblongatum,陈又生,9759,20090911,西藏自治区,4008,山谷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052612.jpg,,,,,,,,,, +矩叶垂头菊,Cremanthodium oblongatum,"杨亲二,孔宏智",98-456,19980920,云南省,4000,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776798.jpg,,,,,,,,,, +硕首垂头菊,Cremanthodium obovatum,西藏中草药普查队,4364,19720823,西藏自治区,4800,石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01581325.jpg,,,,,,,,,, +掌叶垂头菊,Cremanthodium palmatum,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1895,20130823,西藏自治区,4000,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992473.jpg,,,,,,,,,, +掌叶垂头菊,Cremanthodium palmatum,G.Forrest,30903,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798935.jpg,,,,,,,,,, +,Cremanthodium palmatum,"Forrest, George",2665,6-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00413169.jpg,,,,,,,,,, +叶状柄垂头菊,Cremanthodium phyllodineum,"陈又生,王泽欢",9342,20090808,西藏自治区,3900~4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052681.jpg,,,,,,,,,, +叶状柄垂头菊,Cremanthodium phyllodineum,T.T.Yu,19775,19380807,云南省,3900,Alpine grassland,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571088.jpg,,,,,,,,,, +羽裂垂头菊,Cremanthodium pinnatifidum,方震东、刘琳、李红、和光、史小武、赵卫东、陈洁,K-2173,20020927,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 007254.jpg,,,,,,,,,, +裂叶垂头菊,Cremanthodium pinnatisectum,陈又生,9784,20090911,西藏自治区,4241,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052609.jpg,,,,,,,,,, +裂叶垂头菊,Cremanthodium pinnatisectum,T.T.Yu,19783,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571094.jpg,,,,,,,,,, +裂叶垂头菊,Cremanthodium pinnatisectum,刀志灵;蔡磊;杨静;张品;杨佳俊;姚刚;葛佳,KIBDZL052B05,20171017,云南,3100,铁杉、石栎针叶阔叶混交林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1561833.jpg,,,,,,,,,, +戟叶垂头菊,Cremanthodium potaninii,,549,19640720,青海省,4700,流水线,滑塌浅土坡上湿润处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082967.jpg,,,,,,,,,, +戟叶垂头菊,Cremanthodium potaninii,D.E.Boufford et al.,34086,20050803,四川省,4785~4900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913046.jpg,,,,,,,,,, +戟叶垂头菊,Cremanthodium potaninii,王作宾,14821,19510814,甘肃省,3600,高山草坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571102.jpg,,,,,,,,,, +长舌垂头菊,Cremanthodium prattii,蒋兴麟,36406,19530722,四川省,3150,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571134.jpg,,,,,,,,,, +,Cremanthodium prattii,彭玉兰、张君议、郑臣臣,THP-KD-3418,20170716,四川,3768~4150,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251696.jpg,,,,,,,,,, +无毛垂头菊,Cremanthodium pseudo-oblongatum,PE西藏队,PE5945,20170905,西藏自治区,4780,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890406.jpg,,,,,,,,,, +无毛垂头菊,Cremanthodium pseudo-oblongatum,西藏植物,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571142.jpg,,,,,,,,,, +毛叶垂头菊,Cremanthodium puberulum,青藏队植被组,9367,19760731,西藏自治区,5044,阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571148.jpg,,,,,,,,,, +毛叶垂头菊,Cremanthodium puberulum,杨永昌,1073,19650630,青海省,4500,草坡滑塌处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571144.jpg,,,,,,,,,, +美丽垂头菊,Cremanthodium pulchrum,H.T.Tsia,53979,19330731,云南省 ,0~4000,,herb.,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0597470.jpg,,,,,,,,,, +美丽垂头菊,Cremanthodium pulchrum,刘志安,22929,19800821,四川省,0~3950,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0597473.jpg,,,,,,,,,, +,Cremanthodium pulchrum,G.Forrest,27252,1925,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU050214.jpg,,,,,,,,,, +紫叶垂头菊,Cremanthodium purpureifolium,青藏队植被组,5351A,19750716,西藏自治区,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532116.jpg,,,,,,,,,, +紫叶垂头菊,Cremanthodium purpureifolium,魏来、郝加琛,15494,20150730,西藏,5200,流石滩,草本,,https://image.cvh.ac.cn/files/l/BNU/0025936.jpg,,,,,,,,,, +垂头菊,Cremanthodium reniforme,陈又生,9796,20090915,西藏自治区,3560,山谷湿草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053486.jpg,,,,,,,,,, +垂头菊,Cremanthodium reniforme,Y.Omori et al.,9930015,19990807,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921628.jpg,,,,,,,,,, +长柱垂头菊,Cremanthodium rhodocephalum,"程树志,李渤生",164,19820815,西藏自治区,4000~4100,高山灌丛草甸中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067851.jpg,,,,,,,,,, +长柱垂头菊,Cremanthodium rhodocephalum,陈又生,9663,20090830,四川省,4215,沙坡,,,https://image.cvh.ac.cn/files/l/PE/02053721.jpg,,,,,,,,,, +铲叶垂头菊,Cremanthodium sino-oblongatum,中甸队,1666,19620831,云南省,3950,矮杜鹃灌丛沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571190.jpg,,,,,,,,,, +铲叶垂头菊,Cremanthodium sino-oblongatum,王启无C.W.Wang,65850,19350800,云南省 ,,Meadow,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00488274.jpg,,,,,,,,,, +紫茎垂头菊,Cremanthodium smithianum,蓝顺彬,559,19850825,云南省,4300,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831187.jpg,,,,,,,,,, +紫茎垂头菊,Cremanthodium smithianum,生态室高原组,14749,19800902,西藏自治区,3900,冰川河水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447291.jpg,,,,,,,,,, +匙叶垂头菊,Cremanthodium spathulifolium,青藏队,2204,19740910,西藏自治区,2920,灌丛林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571214.jpg,,,,,,,,,, +毛花垂头菊,Cremanthodium spathulifolium,郝加琛,周瑜,16967,20160818,青海省,1700,山坡,木本,,https://image.cvh.ac.cn/files/l/BNU/0030097.jpg,,,,,,,,,, +膜苞垂头菊,Cremanthodium stenactinium,陈又生,9539,20090822,四川省,4400,沼泽草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052003.jpg,,,,,,,,,, +膜苞垂头菊,Cremanthodium stenactinium,D.E.Boufford et al,31582,20040802,西藏自治区,4190,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01912859.jpg,,,,,,,,,, +狭舌垂头菊,Cremanthodium stenoglossum,D.E.Boufford et al.,33338,20050721,四川省,4365~4620,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913041.jpg,,,,,,,,,, +狭舌垂头菊,Cremanthodium stenoglossum,Ho Ting Nung et al,1291,19930815,青海省,4400~4700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01822149.jpg,,,,,,,,,, +木里垂头菊,Cremanthodium suave,FLPH Sichuan Expedition,152026,20150902,四川省,3750,岩壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084617.jpg,,,,,,,,,, +木里垂头菊,Cremanthodium suave,G.Forrest,30792,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799420.jpg,,,,,,,,,, +叉舌垂头菊,Cremanthodium thomsonii,X.H.Jin et al.,DLJ-ET 1683,20080708,西藏自治区,4550,conifer forest.,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053172.jpg,,,,,,,,,, +叉舌垂头菊,Cremanthodium thomsonii,王启无,69571,19350900,云南省,3500,Grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571223.jpg,,,,,,,,,, +叉舌垂头菊,Cremanthodium thomsonii,J.Rock,16838,19280800,四川省,0~3960,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0597496.jpg,,,,,,,,,, +裂舌垂头菊,Cremanthodium trilobum,青藏队植被组,2673,19740810,西藏自治区,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01581324.jpg,,,,,,,,,, +变叶垂头菊,Cremanthodium variifolium,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-2023,20130824,西藏自治区,3860,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992485.jpg,,,,,,,,,, +变叶垂头菊,Cremanthodium variifolium,武素功,2238,19590716,四川省,4200,山顶阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831471.jpg,,,,,,,,,, +亚东垂头菊,Cremanthodium yadongense,青藏队植被组,6587,19750730,西藏自治区,4780,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01581320.jpg,,,,,,,,,, +杜鹃兰,Cremastra appendiculata,赵鑫磊,,20130501,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230333.jpg,,,,,,,,,, +杜鹃兰,Cremastra appendiculata,秦岭队,,19590000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033524.jpg,,,,,,,,,, +杜鹃兰,Cremastra appendiculata,Xiaohua Jin & Ting Zhang,204,20080518,云南省,1851,forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033029.jpg,,,,,,,,,, +,Crepidiastrum denticulatum,"石硕,梁文达",SZ4178,20141005,河北省,1058,山坡半阳,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036178.jpg,,,,,,,,,, +,Crepidiastrum denticulatum,邓云飞,14901,20000927,广西壮族自治区,900,山地、山顶、灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017997.jpg,,,,,,,,,, +,Crepidiastrum denticulatum,J.O.Hyun,NI-2010-0812(2s,20100930,,628,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912373.jpg,,,,,,,,,, +,Crepidiastrum tenuifolium,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13268,20160821,新疆,1788,碎石坡灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1444231.jpg,,,,,,,,,, +细叶假还阳参,Crepidiastrum tenuifolium,张重岭,351,20150720,内蒙古自治区,313,干旱荒山坡,,有花无果,https://image.cvh.ac.cn/files/l/YAK/0000452.jpg,,,,,,,,,, +浅裂沼兰,Crepidium acuminatum,吴磊、黄存忠,GD2020041901,20200419,湖南,550,山坡密林,直立草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI071997.jpg,,,,,,,,,, +浅裂沼兰,Crepidium acuminatum,肖斯悦;席辉辉;王兆春,KIBGX115B04,20190924,云南,1056,毛枝青冈林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1559345.jpg,,,,,,,,,, +,Crepidium bahanense,谭少林,YLDP125B,20140627,云南,,无,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1449986.jpg,,,,,,,,,, +金黄还阳参,Crepis chrysantha,"陈又生,袁慊",141665,20140822,新疆维吾尔自治区,2900,山顶流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040518.jpg,,,,,,,,,, +金黄还阳参,Crepis chrysantha,T.Beliz,6950,19800822,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01719970.jpg,,,,,,,,,, +北方还阳参,Crepis crocea,青甘队,884,19590722,甘肃省,3800,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235757.jpg,,,,,,,,,, +北方还阳参,Crepis crocea,赵真等四人,760805,19750819,山西省,1120,山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235756.jpg,,,,,,,,,, +北方还阳参,Crepis crocea,王战等,957,19510627,,,湖边或山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234537.jpg,,,,,,,,,, +藏滇还阳参,Crepis elongata,赵清盛,371,19890718,四川省,2100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235751.jpg,,,,,,,,,, +藏滇还阳参,Crepis elongata,"陈又生,袁慊",141521,20140814,新疆维吾尔自治区,2850,灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084724.jpg,,,,,,,,,, +藏滇还阳参,Crepis elongata,陈又生,9025,20090718,云南省,3700,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053320.jpg,,,,,,,,,, +,Crepis flexuosa var. tenuifolia,"武素功,大场秀章,吴玉虎,费勇",3865,19880725,新疆维吾尔自治区,3300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/134931.jpg,,,,,,,,,, +,Crepis minuta,青藏队,74-2096,19740907,西藏自治区,,河滩旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234553.jpg,,,,,,,,,, +,Crepis minuta,Ho Ting nung Bruce bartholimew & Mike Gilbert,1153,19930811,青海省,4040,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01719973.jpg,,,,,,,,,, +,Crotalaria acicularis,Kuang-Yuh Wang et al.,230,19940928,台湾省,625~695,Secondary broadleaf forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01606528.jpg,,,,,,,,,, +,Crotalaria acicularis,R.S.Williams ,165,19030000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490013.jpg,,,,,,,,,, +,Crotalaria acicularis,刘慎谔,22656,19461108,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00463358.jpg,,,,,,,,,, +响铃豆,Crotalaria albida,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B",946,20021108,云南省,2580,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100840.jpg,,,,,,,,,, +响铃豆,Crotalaria albida,广西调查队,3930,19531013,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01965143.jpg,,,,,,,,,, +响铃豆,Crotalaria albida,K.C.Yang,S078243,20000311,台湾省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01932284.jpg,,,,,,,,,, +线叶猪屎豆,Crotalaria linifolia var. linifolia,弥渡普查队,5329251023,20120717,云南省,1693,,草本,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0009560.jpg,,,,,,,,,, +,Crotalaria mairei,王汉臣,2379,19420616,云南省,,半山,,有花无果,https://image.cvh.ac.cn/files/l/PE/00463375.jpg,,,,,,,,,, +,Crotalaria mairei,黄连山科研所,HLS0386,20111222,云南,,次生森林,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1319827.jpg,,,,,,,,,, +,Crotalaria micans,Ming-Jer Jung,3585,20081010,台湾省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01932277.jpg,,,,,,,,,, +,Crotalaria micans,R.Kummrow & O.S.Ribas,2990,19880114,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490065.jpg,,,,,,,,,, +,Crotalaria micans,,281,19850727,云南省,1150,林缘路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00101831.jpg,,,,,,,,,, +,Crotalaria psoraleoides,自正尧,李伟,XPALSB216,20090421,云南,820,箐边,灌木,,https://image.cvh.ac.cn/files/l/KUN/1319903.jpg,,,,,,,,,, +,Crotalaria psoraleoides,姚淦等,3691,19900904,西藏自治区,1100,灌丛,亚灌,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00001649.jpg,,,,,,,,,, +黄雀儿,Crotalaria psoraleoides,勐腊普查队,5328230792,20150909,云南省,1450.1,草丛,一年生草本植物,有花有果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0032219.jpg,,,,,,,,,, +野百合,Crotalaria sessiliflora,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T297,20160918,西藏自治区,712,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233371.jpg,,,,,,,,,, +野百合,Crotalaria sessiliflora,老铁山采集队,644,20081001,辽宁省,42,海边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01879830.jpg,,,,,,,,,, +野百合,Crotalaria sessiliflora,萧百中,4738,20050920,湖南省,580,山麓,红壤,光:阴,湿度:湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710237.jpg,,,,,,,,,, +,Crotalaria yunnanensis,"H.Li,S.X.Yang,R.Li etc.",295,20020815,云南省,2550,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090134.jpg,,,,,,,,,, +,Crotalaria yunnanensis,中国科学院西南综考队川滇黔接壤分队,305,19651025,四川省,1790,疏林草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490153.jpg,,,,,,,,,, +,Croton euryphyllus,北京青年队,662,19860813,广西壮族自治区,350~400,山坡沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01381089.jpg,,,,,,,,,, +,Croton euryphyllus,G.Forrest,11026,19130900,云南省,3000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01381083.jpg,,,,,,,,,, +,Croton euryphyllus,黔南队,454,19590412,贵州省,650,山坡山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01381082.jpg,,,,,,,,,, +毛果须弥芥,Crucihimalaya lasiocarpa,PE西藏队,PE5331,20170828,西藏自治区,4019,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02309666.jpg,,,,,,,,,, +毛果须弥芥,Crucihimalaya lasiocarpa,Anonymous,20240087,20020816,,3990,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995555.jpg,,,,,,,,,, +柔毛须弥芥,Crucihimalaya mollissima,Sino-Russian Altai Expedition,SRAE20040130,20040000,新疆维吾尔自治区,1500,Rocky steppe slopes at the left bank,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766987.jpg,,,,,,,,,, +柔毛须弥芥,Crucihimalaya mollissima,青藏队,76-8046,19760621,西藏自治区,4600,河谷,砂砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01005494.jpg,,,,,,,,,, +柔毛须弥芥,Crucihimalaya mollissima,"关克俭,戴天伦",2655,19600919,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00775972.jpg,,,,,,,,,, +杏仁厚壳桂,Cryptocarya amygdalina,青藏队,74-1801,19400812,西藏自治区,1100,山坡 常绿林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01561757.jpg,,,,,,,,,, +杏仁厚壳桂,Cryptocarya amygdalina,M. Mikage & A. Takahashi,9611776,19960117,,150~160,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293640.jpg,,,,,,,,,, +宿苞兰,Cryptochilus luteus,Shui Yumin et al.,10887,19990911,云南省,1950,on stone,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033601.jpg,,,,,,,,,, +宿苞兰,Cryptochilus luteus,陈伟烈,10766,19800629,西藏自治区,1800,附生树干,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376942.jpg,,,,,,,,,, +,Cryptochilus sanguineus,"李渤生,程树志",5128,19830617,西藏自治区,1800,山坡灌林中树上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376938.jpg,,,,,,,,,, +古钩藤,Cryptolepis buchananii,"张志耘,谢磊等",2016-083,20151207,广西壮族自治区,915,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115611.jpg,,,,,,,,,, +古钩藤,Cryptolepis buchananii,王功范,144,20040608,贵州省,600,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108913.jpg,,,,,,,,,, +古钩藤,Cryptolepis buchananii,王洪,5123,20010714,云南省,1500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108847.jpg,,,,,,,,,, +,Cryptotaenia japonica,巴山采集队,6015,20120629,四川省,1320,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066292.jpg,,,,,,,,,, +,Cryptotaenia japonica,梁同军,22,20150615,江西省,1500,生于林边阴湿草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043542.jpg,,,,,,,,,, +,Cryptotaenia japonica,华南队,1081,19890525,广西壮族自治区,1100,山地山谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01991786.jpg,,,,,,,,,, +,Cullen corylifolium,,NJWLS377,,云南,1358,,,,https://image.cvh.ac.cn/files/l/KUN/1319955.jpg,,,,,,,,,, +补骨脂,Cullen corylifolium,汪远等,LHR02019,20140714,上海市,1.8,荒地,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0126550.jpg,,,,,,,,,, +补骨脂,Cullen corylifolium,苏享修,CSH13420,20161210,福建省,10.7623,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0140436.jpg,,,,,,,,,, +,Cunninghamia lanceolata var. konishii,Y.Tateishi et al.,17991,19840820,台湾省,1400~1450,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01523004.jpg,,,,,,,,,, +台湾杉木,Cunninghamia lanceolata var. konishii,,,,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00031782.jpg,,,,,,,,,, +台湾杉木,Cunninghamia lanceolata var. konishii,,,,,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00086252.jpg,,,,,,,,,, +剑阁柏木,Cupressus chengiana var. jiangeensis,四川植被队,5325,1974-5 2,四川省,1850,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0009139.jpg,,,,,,,,,, +干香柏,Cupressus duclouxiana,林秦文,2013-028,20130527,云南省,1600~1750,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02041073.jpg,,,,,,,,,, +干香柏,Cupressus duclouxiana,白龙江考察队,712,19980725,甘肃省,1200,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01561030.jpg,,,,,,,,,, +干香柏,Cupressus duclouxiana,Zhao Zhen-Ju,113376,19810425,四川省,2200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01554351.jpg,,,,,,,,,, +柏木,Cupressus funebris,"刘金鉴,田景全",206,19631013,四川省,1000,山谷路旁 密林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092039.jpg,,,,,,,,,, +柏木,Cupressus funebris,川黔队,773,19560716,重庆市,500,山坡 阳,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083230.jpg,,,,,,,,,, +雅鲁藏布江柏木,Cupressus gigantea,"郎楷永,李渤生",1520,19860521,西藏自治区,3100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066874.jpg,,,,,,,,,, +西藏柏木,Cupressus torulosa,"李渤生,程树志,倪志诚",6434,19830814,西藏自治区,2100~2600,山坡或小片,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073418.jpg,,,,,,,,,, +西藏柏木,Cupressus torulosa,北京所横断山队,3860,19810825,云南省,2200~2500,澜沧江边及河谷阳坡时见组成小片林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073104.jpg,,,,,,,,,, +大叶仙茅,Curculigo capitulata,云南一组,28,19670700,云南省,,沟谷林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239352.jpg,,,,,,,,,, +大叶仙茅,Curculigo capitulata,刘正宇,16965,19960512,重庆市,760,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239345.jpg,,,,,,,,,, +大叶仙茅,Curculigo capitulata,"洪德元,马黎明,张跃进",PB84010,19841201,四川省,1500,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239346.jpg,,,,,,,,,, +绒叶仙茅,Curculigo crassifolia,绿春队,1788,19740608,云南省,1900,山脊次生灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239309.jpg,,,,,,,,,, +绒叶仙茅,Curculigo crassifolia,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00035482.jpg,,,,,,,,,, +姜黄,Curcuma longa,生态室高原组,11104,19800714,西藏自治区,900,路边岩洞生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376875.jpg,,,,,,,,,, +姜黄,Curcuma longa,,1807,19300508,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075208.jpg,,,,,,,,,, +杯花菟丝子,Cuscuta approximata,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13856,20160908,新疆,618,石滩上,草质藤本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1450416.jpg,,,,,,,,,, +杯花菟丝子,Cuscuta approximata,朱鑫鑫、陈彬、沈彬、宋以刚,CSH07210,20140803,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0037652.jpg,,,,,,,,,, +杯花菟丝子,Cuscuta approximata,刘全儒,RQSB09434,20160727,黑龙江省,155,灌木,藤本,,https://image.cvh.ac.cn/files/l/BNU/0026344.jpg,,,,,,,,,, +菟丝子,Cuscuta chinensis,,,,宁夏回族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078091.jpg,,,,,,,,,, +菟丝子,Cuscuta chinensis,Taku Miyazaki,808611,20080815,,5,,,,https://image.cvh.ac.cn/files/l/PE/02053827.jpg,,,,,,,,,, +菟丝子,Cuscuta chinensis,徐连升,X140121,20140821,黑龙江省,158,林下湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034528.jpg,,,,,,,,,, +欧洲菟丝子,Cuscuta europaea,"Li Zhenyu,Jin Xiaohua,Tu Yanli etc.",T090,20160912,西藏自治区,2900,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233418.jpg,,,,,,,,,, +欧洲菟丝子,Cuscuta europaea,Z.Dolezalova,,19640628,,320,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026164.jpg,,,,,,,,,, +欧洲菟丝子,Cuscuta europaea,赤峰采集队,2-165,20080806,内蒙古自治区,,灌丛中寄生,,有花无果,https://image.cvh.ac.cn/files/l/PE/02012603.jpg,,,,,,,,,, +高大菟丝子,Cuscuta gigantea,"李渤生,李辉",14075,19901008,西藏自治区,2200~2600,常绿阔叶林缘时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196340.jpg,,,,,,,,,, +高大菟丝子,Cuscuta gigantea,程堂仁,张强英,郭治友等,H-黔三都-Z-0268,20101005,贵州,901,土山,藤本,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00073475.jpg,,,,,,,,,, +金灯藤,Cuscuta japonica,周口店考察队,259,20080928,北京市,139,路边灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112264.jpg,,,,,,,,,, +金灯藤,Cuscuta japonica,"石硕,梁文达",SZ4156,20141002,河北省,477,山坡、半阳,,无花有果,https://image.cvh.ac.cn/files/l/PE/02034993.jpg,,,,,,,,,, +金灯藤,Cuscuta japonica,云台山采集队,92,20080922,河南省,,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02015876.jpg,,,,,,,,,, +大花菟丝子,Cuscuta reflexa,PE西藏队,PE5778,20170903,西藏自治区,1683~2900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330617.jpg,,,,,,,,,, +大花菟丝子,Cuscuta reflexa,T.N.Liou,5739,19321023,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00113907.jpg,,,,,,,,,, +大花菟丝子,Cuscuta reflexa,R.J.Chinnock,7816,19880916,云南省,,Occasional Parasitic on various plants,,有花有果,https://image.cvh.ac.cn/files/l/PE/00113908.jpg,,,,,,,,,, +中甸蓝钟花,Cyananthus chungdianensis,中甸队,1655,19620831,云南省,3900~4200,林间草地沙地或高山草甸灌丛边沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01253535.jpg,,,,,,,,,, +中甸蓝钟花,Cyananthus chungdianensis,H.Ohashi etc.,772502,19770817,Topke Gola,4300,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/171980.jpg,,,,,,,,,, +心叶蓝钟花,Cyananthus cordifolius,青藏队植被组,5687,19750731,西藏自治区,4200,峡谷谷坡灌丛草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485722.jpg,,,,,,,,,, +心叶蓝钟花,Cyananthus cordifolius,J.F.DUTHIE,5730,19860728,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031422.jpg,,,,,,,,,, +细叶蓝钟花,Cyananthus delavayi,"洪德元,杨杨,王焕冲",H10019,20100917,云南省,,稀疏云南松林,稀灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056581.jpg,,,,,,,,,, +细叶蓝钟花,Cyananthus delavayi,赵佐成,5031,19931028,四川省,2100,阳处山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010284.jpg,,,,,,,,,, +束花蓝钟花,Cyananthus fasciculatus,"H.Li,S.X.Yang,R.Li etc.",690,20021106,云南省,2530,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110416.jpg,,,,,,,,,, +束花蓝钟花,Cyananthus fasciculatus,,75-1745,19750910,西藏自治区,,杂灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621806.jpg,,,,,,,,,, +美丽蓝钟花,Cyananthus formosus,康藏植物考察队,10-2673,20100823,云南省,3400,灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01876209.jpg,,,,,,,,,, +美丽蓝钟花,Cyananthus formosus,T.T.Yu,7789,19370818,四川省,3600,margin of woods on rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/01372509.jpg,,,,,,,,,, +蓝钟花,Cyananthus hookeri,生态室高原组,15591,19800917,西藏自治区,4100,林缘石壁土上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067497.jpg,,,,,,,,,, +蓝钟花,Cyananthus hookeri,"洪德元,杨杨,王焕冲",H10035,20100919,云南省,3100~3400,石灰岩、草地、林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056809.jpg,,,,,,,,,, +蓝钟花,Cyananthus hookeri,"洪德元,潘开玉,王强",H12059,20120903,四川省,4085,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056808.jpg,,,,,,,,,, +灰毛蓝钟花,Cyananthus incanus,"洪德元,马欣堂,王强",H12054,20120812,西藏自治区,4150,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056814.jpg,,,,,,,,,, +灰毛蓝钟花,Cyananthus incanus,"洪德元,潘开玉,王强",H12060,20120903,四川省,4085,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056813.jpg,,,,,,,,,, +胀萼蓝钟花,Cyananthus inflatus,生态室高原组,15538,19800916,西藏自治区,3100,林下草本,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067498.jpg,,,,,,,,,, +胀萼蓝钟花,Cyananthus inflatus,尹志坚等,1956,20090910,云南省,3400,"Roadsides,Rhododendron forest margins",,有花有果,https://image.cvh.ac.cn/files/l/PE/01921174.jpg,,,,,,,,,, +丽江蓝钟花,Cyananthus lichiangensis,,2277,19740823,西藏自治区,4450,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621842.jpg,,,,,,,,,, +丽江蓝钟花,Cyananthus lichiangensis,T.T.Yu,9351,19370803,云南省,,ditch side stream side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621837.jpg,,,,,,,,,, +丽江蓝钟花,Cyananthus lichiangensis,C.S.Liu,1118,19340817,四川省,2900~3280,In grassland,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621834.jpg,,,,,,,,,, +裂叶蓝钟花,Cyananthus lobatus,生态室高原组,14727,19800902,西藏自治区,3800,高山灌丛草甸中常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067499.jpg,,,,,,,,,, +长花蓝钟花,Cyananthus longiflorus,"洪德元,杨杨,王焕冲",H10024,20100918,云南省,2600,稀疏云南松林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056821.jpg,,,,,,,,,, +长花蓝钟花,Cyananthus longiflorus,J.M.Delavay,s.n.,18870909,,2800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048229.jpg,,,,,,,,,, +,Cyananthus macrocalyx subsp. macrocalyx,吴征镒等,989,19750718,西藏自治区,4500,草甸,,有花无果,https://image.cvh.ac.cn/files/l/KUN/171925.jpg,,,,,,,,,, +,Cyananthus macrocalyx subsp. macrocalyx,孙必兴等,1073,19730716,云南省,3400,疏林下或草坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/171886.jpg,,,,,,,,,, +,Cyananthus macrocalyx subsp. macrocalyx,四川植被调查队,3078,19730811,四川省,4200,荫坡落叶松林林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/KUN/171918.jpg,,,,,,,,,, +,Cyananthus macrocalyx subsp. spathulifolius,青藏队,10222,19820909,西藏自治区,4100,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621455.jpg,,,,,,,,,, +小叶蓝钟花,Cyananthus microphyllus,PE-西藏队,4428,20130728,西藏自治区,4200~4350,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056807.jpg,,,,,,,,,, +小叶蓝钟花,Cyananthus microphyllus,M.Suzuki et al.,9485356,19940808,,3560,on damp grassland,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005437.jpg,,,,,,,,,, +有梗蓝钟花,Cyananthus pedunculatus,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1788,20130822,西藏自治区,,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992233.jpg,,,,,,,,,, +有梗蓝钟花,Cyananthus pedunculatus,陈晓澄等,6034,20140806,西藏,3312,灌木林山阳坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023991.jpg,,,,,,,,,, +绢毛蓝钟花,Cyananthus sericeus,PE西藏队,PE5926,20170905,西藏自治区,3020~3460,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890359.jpg,,,,,,,,,, +绢毛蓝钟花,Cyananthus sericeus,青藏补点组,751932,19750910,西藏,3500-3600,岩生,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0303566.jpg,,,,,,,,,, +杂毛蓝钟花,Cyananthus sherriffii,PLPH Tibet expedition,12-1094,20120910,西藏自治区,4619,杜鹃灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056553.jpg,,,,,,,,,, +四孔草,Cyanotis cristata,"李振宇,闫丽春,农必明,李东方",1639,19981026,广西壮族自治区,840,山谷、水旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017553.jpg,,,,,,,,,, +四孔草,Cyanotis cristata,吴征镒等,850,19641224,,160,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01722705.jpg,,,,,,,,,, +四孔草,Cyanotis cristata,H.T.Tsai,54974,19331029,云南省,1500,on rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/00778120.jpg,,,,,,,,,, +蓝耳草,Cyanotis vaga,Shui Yumin et al.,11239,19990920,云南省,1800,on barren land,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237482.jpg,,,,,,,,,, +蓝耳草,Cyanotis vaga,赵佐成,4937,19931028,四川省,2000,阳坡沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237478.jpg,,,,,,,,,, +头花杯苋,Cyathula capitata,PE西藏队,PE6178,20170910,西藏自治区,2488~2994,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309456.jpg,,,,,,,,,, +头花杯苋,Cyathula capitata,赵佐成,2162,19931004,四川省,2200,路边草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01842714.jpg,,,,,,,,,, +川牛膝,Cyathula officinalis,陈又生等,641,20111118,西藏自治区,,山谷林缘草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967770.jpg,,,,,,,,,, +川牛膝,Cyathula officinalis,国际交换队,870174,19870728,四川省,1100,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01569726.jpg,,,,,,,,,, +川牛膝,Cyathula officinalis,王裕珠,Y0515,19781121,云南省,2000,村边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486178.jpg,,,,,,,,,, +绒毛杯苋,Cyathula tomentosa,"川西队,关克俭,王文采等",2253,19630903,四川省,1550,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093171.jpg,,,,,,,,,, +绒毛杯苋,Cyathula tomentosa,"李渤生,李辉,阳艺",13282,19900830,西藏自治区,2000,林间阴湿处多见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01487651.jpg,,,,,,,,,, +绒毛杯苋,Cyathula tomentosa,T.N. Liou ,6051,19321122,,2410,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00160086.jpg,,,,,,,,,, +攀枝花苏铁,Cycas panzhihuaensis,C.J.Chen & H.Jiang,200531,20051228,云南省,,cult.introduced from Yuanmou Co,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066913.jpg,,,,,,,,,, +攀枝花苏铁,Cycas panzhihuaensis,C.J.Chen & L.Chen,2003002,20031020,四川省,1600,along dry and hot valley of Jingsha River,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066728.jpg,,,,,,,,,, +轮环藤,Cyclea racemosa,236 四川任务组,841,19710829,四川省,600,灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/02086426.jpg,,,,,,,,,, +轮环藤,Cyclea racemosa,红水河植物考察队,449,19890510,广西壮族自治区,800,山地山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01986385.jpg,,,,,,,,,, +轮环藤,Cyclea racemosa,黄向旭等,10803,20110916,江西省,,山地,路旁,山谷,疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01959899.jpg,,,,,,,,,, +,Cyclobalanopsis augustinii,张红,36,20050324,广西壮族自治区,700,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01459179.jpg,,,,,,,,,, +,Cyclobalanopsis augustinii,George Forrest,11518,19130000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00273771.jpg,,,,,,,,,, +,Cyclobalanopsis delavayi,"H.Li,S.X.Yang,R.Li etc.",340,20020816,云南省,2400,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090048.jpg,,,,,,,,,, +,Cyclobalanopsis delavayi,青藏队,11748,19830705,四川省,2200,山坡常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01862174.jpg,,,,,,,,,, +,Cyclobalanopsis fleuryi,,Q34,19620918,广西壮族自治区,1360,落叶常绿混交林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984362.jpg,,,,,,,,,, +,Cyclobalanopsis fleuryi,吴大诚,840435,19840920,江西省,450,山坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01359216.jpg,,,,,,,,,, +,Cyclobalanopsis fleuryi,,47,19520900,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00934512.jpg,,,,,,,,,, +,Cyclobalanopsis gambleana,攀枝花苏铁考察队,346,20100715,四川省,2198,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01868591.jpg,,,,,,,,,, +,Cyclobalanopsis gambleana,植物所三峡考察队,42,20070915,重庆市,1310~1810,杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01659191.jpg,,,,,,,,,, +,Cyclobalanopsis gambleana,"李渤生,李辉",14087,19901008,西藏自治区,2400~2600,常绿阔叶林中优势种,,无花有果,https://image.cvh.ac.cn/files/l/PE/01341434.jpg,,,,,,,,,, +,Cyclobalanopsis glauca,780植被组,623,19781125,云南省,2000,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046039.jpg,,,,,,,,,, +,Cyclobalanopsis glauca,覃海宁等,19887,20080812,安徽省,637,山坡、林下、沟谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/02023287.jpg,,,,,,,,,, +,Cyclobalanopsis glauca,龙茹,90207,20090511,湖北省,1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02003765.jpg,,,,,,,,,, +,Cyclobalanopsis glaucoides,"陈伟烈,陈家瑞,郭柯等",5385,19840521,四川省,2300,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02041687.jpg,,,,,,,,,, +,Cyclobalanopsis glaucoides,"刘冰,覃海宁,张宪春等",826,20070614,贵州省,1300,石山林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02041070.jpg,,,,,,,,,, +,Cyclobalanopsis glaucoides,北京所横断山队,1278,19810710,云南省,1880,常阔叶林中优势叶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01862101.jpg,,,,,,,,,, +,Cyclobalanopsis gracilis,张寿洲等,951,20130925,四川省,,土生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01990481.jpg,,,,,,,,,, +,Cyclobalanopsis gracilis,邓云飞等,10674,19970430,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658349.jpg,,,,,,,,,, +,Cyclobalanopsis gracilis,毕节队,1628,19590922,贵州省,600,山坡 路旁 灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01604459.jpg,,,,,,,,,, +,Cyclobalanopsis kiukiangensis var. xizangensis,"李渤生,程树志",1402,19821004,西藏自治区,2350,常绿阔叶林内,,无花无果,https://image.cvh.ac.cn/files/l/PE/00380261.jpg,,,,,,,,,, +,Cyclobalanopsis lamellosa,覃海宁等,2605,19981108,广西壮族自治区,1350,山地山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984378.jpg,,,,,,,,,, +,Cyclobalanopsis lamellosa,,2650,19740918,西藏自治区,1800,常绿阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815230.jpg,,,,,,,,,, +,Cyclobalanopsis lobbii,K.M.Feng,7039,19400828,云南省,2300~2600,松林中 习见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00450058.jpg,,,,,,,,,, +,Cyclobalanopsis lobbii,,3277,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00450057.jpg,,,,,,,,,, +,Cyclobalanopsis motuoensis,李渤生,3746,19830524,西藏自治区,1700,常绿阔叶林中高大乔木,,有花无果,https://image.cvh.ac.cn/files/l/PE/00380314.jpg,,,,,,,,,, +,Cyclobalanopsis myrsinifolia,"朱鑫鑫, 王君, 何昆, 周祥坤",ZXX19254,20190412,河南,731,亚热带针阔混交林,林中,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1482381.jpg,,,,,,,,,, +,Cyclobalanopsis myrsinifolia,蒋汝平,徐增莱,熊豫宁等,1075,20181012,江西,,山坡林中,常绿乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00611380.jpg,,,,,,,,,, +,Cyclobalanopsis myrsinifolia,蒋汝平等5人,933,20180914,安徽,,山坡林缘,常绿小乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00611348.jpg,,,,,,,,,, +,Cyclobalanopsis oxyodon,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",175,20130419,四川省,1396~1900,山坡沟谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01994120.jpg,,,,,,,,,, +,Cyclobalanopsis oxyodon,,Q34(3)1,19620918,广西壮族自治区,1350,落叶常绿混交林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984385.jpg,,,,,,,,,, +,Cyclobalanopsis oxyodon,植物所三峡考察队,195,20070915,重庆市,1300~1570,山坡、林缘、沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01659197.jpg,,,,,,,,,, +无齿青冈,Cyclobalanopsis semiserrata,李建强,彭焱松,陈丽,1732,20051004,云南,800,山石溪边常阔与桫椤混生,高大乔木,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0191562.jpg,,,,,,,,,, +,Cyclocodon celebicus,K.M.Feng,8658,19401026,云南省,,沟边杂林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01241774.jpg,,,,,,,,,, +小叶轮钟草,Cyclocodon celebicus,蔡杰、郭云刚、张凤琼、李梅娟、李昌洪,14CS9702,20141105,云南,1424,路边灌丛,半灌木,,https://image.cvh.ac.cn/files/l/KUN/1399462.jpg,,,,,,,,,, +小叶轮钟草,Cyclocodon celebicus,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11845,20161112,西藏,961,路边灌草丛,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444943.jpg,,,,,,,,,, +,Cyclorhiza peucedanifolia,中甸队,1218,19620818,云南省,1720,砾石坡面草地中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00725633.jpg,,,,,,,,,, +南竹叶环根芹,Cyclorhiza peucedanifolia,刘照光,343,1971-7 2,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0101915.jpg,,,,,,,,,, +,Cyclorhiza peucedanifolia,"Forrest, George",11081,13-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00000122.jpg,,,,,,,,,, +环根芹,Cyclorhiza waltonii,PE西藏队,PE5109,20170825,西藏自治区,3788,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330195.jpg,,,,,,,,,, +环根芹,Cyclorhiza waltonii,青藏队,3167,19810803,四川省,2600,山坡 碎石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129752.jpg,,,,,,,,,, +蒙古芯芭,Cymbaria mongolica,刘冰,302,20060806,内蒙古自治区,1270,典型草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809870.jpg,,,,,,,,,, +蒙古芯芭,Cymbaria mongolica,,29,19830604,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804127.jpg,,,,,,,,,, +蒙古芯芭,Cymbaria mongolica,黄河调查队,8230,19560823,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01519794.jpg,,,,,,,,,, +,Cymbidium eburneum,刘仲健,3032,20050420,广西壮族自治区,800,疏林树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01432234.jpg,,,,,,,,,, +独占春,Cymbidium eburneum,黄志,36598,19340113,海南省,,山顶石岩,,无花无果,https://image.cvh.ac.cn/files/l/PE/00292095.jpg,,,,,,,,,, +独占春,Cymbidium eburneum,李鸣冈,2311,19390000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00292096.jpg,,,,,,,,,, +建兰,Cymbidium ensifolium,"简焯坡,应俊生,马成功等",401686,19640721,福建省,600,林下 岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033449.jpg,,,,,,,,,, +建兰,Cymbidium ensifolium,Jin Weitao,13553,20121011,广西壮族自治区,1130~1200,Subtropical evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02025059.jpg,,,,,,,,,, +建兰,Cymbidium ensifolium,白水江采集队,5000,20070516,甘肃省,1510,山坡杂木林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01852955.jpg,,,,,,,,,, +长叶兰,Cymbidium erythraeum,王崇杰,14421,19981015,西藏自治区,1200~3500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866883.jpg,,,,,,,,,, +长叶兰,Cymbidium erythraeum,HK kadoorie teaus,2438,20011100,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01644298.jpg,,,,,,,,,, +蕙兰,Cymbidium faberi,徐洪贵,81,19950420,四川省,1500,山脊,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033543.jpg,,,,,,,,,, +蕙兰,Cymbidium faberi,植物资源考察队,502,19820426,河南省,,疏密林中 灌木中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033466.jpg,,,,,,,,,, +蕙兰,Cymbidium faberi,X.H.Jin,,20040516,云南省,2500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032954.jpg,,,,,,,,,, +多花兰,Cymbidium floribundum,金效华,10889,20110427,云南省,1600,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032983.jpg,,,,,,,,,, +多花兰,Cymbidium floribundum,华南队,94,19890426,广西壮族自治区,1400,山地山顶密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997775.jpg,,,,,,,,,, +多花兰,Cymbidium floribundum,金效华,88,20000505,贵州省,1300,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820811.jpg,,,,,,,,,, +贡山凤兰,Cymbidium gongshanense,杨增宏,8708,19861130,云南,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1274897.jpg,,,,,,,,,, +虎头兰,Cymbidium hookerianum,中苏队,5563,19570308,云南省,1300,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230254.jpg,,,,,,,,,, +虎头兰,Cymbidium hookerianum,J.A.Soulie,1830,18950525,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01721246.jpg,,,,,,,,,, +黄蝉兰,Cymbidium iridioides,Xiaohua Jin,14859,20150120,云南省,,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233139.jpg,,,,,,,,,, +黄蝉兰,Cymbidium iridioides,"李渤生,程树志",1903,19821128,西藏自治区,2000,常绿阔叶林内石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376964.jpg,,,,,,,,,, +寒兰,Cymbidium kanran,覃海宁等,2185,19981105,广西壮族自治区,600,山地,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01997976.jpg,,,,,,,,,, +寒兰,Cymbidium kanran,金效华,s.n.,20000929,贵州省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810911.jpg,,,,,,,,,, +寒兰,Cymbidium kanran,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01634120.jpg,,,,,,,,,, +,Cymbidium lancifolium,覃海宁,3494,20020501,云南省,1570,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098043.jpg,,,,,,,,,, +,Cymbidium lancifolium,侯满福,102,20060508,广西壮族自治区,,石山肥窝土,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033555.jpg,,,,,,,,,, +,Cymbidium lancifolium,,30,19630613,贵州省,1620,山地,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997971.jpg,,,,,,,,,, +西藏虎头兰,Cymbidium tracyanum,HK kadoorie PT,3418,20020428,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097625.jpg,,,,,,,,,, +西藏虎头兰,Cymbidium tracyanum,李光照,14451,19941207,广西壮族自治区,185,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033557.jpg,,,,,,,,,, +西藏虎头兰,Cymbidium tracyanum,黄江华,18,20010107,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032982.jpg,,,,,,,,,, +滇南虎头兰,Cymbidium wilsonii,王启无,66798,19350900,云南省 ,0~2000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625950.jpg,,,,,,,,,, +滇南虎头兰,Cymbidium wilsonii,邓世纬,1708,19351205,贵州省,0,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625951.jpg,,,,,,,,,, +滇南虎头兰,Cymbidium wilsonii,王孝,高锡朋,刘心祈,100453,19400405,云南省,0~1708,,草本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0625949.jpg,,,,,,,,,, +芸香草,Cymbopogon distans,林秦文,2013-029,20130527,云南省,1600~1750,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039388.jpg,,,,,,,,,, +芸香草,Cymbopogon distans,,43,,重庆市,400,高丘陵坡地上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01787331.jpg,,,,,,,,,, +,Cymbopogon hookeri,姜恕等,410,19671104,西藏自治区,1800~1900,阳坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00448156.jpg,,,,,,,,,, +,Cymbopogon hookeri,刘慎谔,22679,19461109,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00448152.jpg,,,,,,,,,, +披针叶香茅,Cymbopogon lanceifolius,川西队,1,19620821,四川省,,坡谷近水沟潮湿坡坡草丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01432381.jpg,,,,,,,,,, +凉山香茅,Cymbopogon liangshanensis,,367,19640830,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01432390.jpg,,,,,,,,,, +凉山香茅,Cymbopogon liangshanensis,鞠文彬,李诗琦,代文台,邓璇,CIBJWB004B010,20180816,四川,1293,,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1502287.jpg,,,,,,,,,, +鲁沙香茅,Cymbopogon martinii,,3757,19570607,四川省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00118715.jpg,,,,,,,,,, +,Cymbopogon pospischilii,Liu Yanchun,585,20101020,云南省,2336,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088937.jpg,,,,,,,,,, +,Cymbopogon pospischilii,J.W.Ash,2988,19750601,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01904783.jpg,,,,,,,,,, +,Cymbopogon scabrescens,朱太平等,24,19620908,四川省,1750,山脊坡地松栎林下及边缘草丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01432333.jpg,,,,,,,,,, +,Cymbopogon scabrescens,,762,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00448264.jpg,,,,,,,,,, +,Cymbopogon tibeticus,钟補求,5578,19521110,西藏自治区,,沙地,,,https://image.cvh.ac.cn/files/l/NAS/NAS00517562.jpg,,,,,,,,,, +,Cymbopogon tibeticus,C.W.Wang,65184,193508,云南省 ,3000,slope,,,https://image.cvh.ac.cn/files/l/NAS/NAS00517563.jpg,,,,,,,,,, +通麦香茅,Cymbopogon tungmaiensis,"李渤生,李辉",14128,19901009,西藏自治区,1400,河滩中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01507371.jpg,,,,,,,,,, +通麦香茅,Cymbopogon tungmaiensis,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2392,20090918,云南,2350,干暖河谷,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1436689.jpg,,,,,,,,,, +小叶鹅绒藤,Cynanchum anthonyanum,青藏队,1773,19810704,四川省,2080,金沙江河谷 有刺灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132670.jpg,,,,,,,,,, +小叶鹅绒藤,Cynanchum anthonyanum,青藏队,2165,19810705,云南省,2300,山坡 干多石地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132666.jpg,,,,,,,,,, +牛皮消,Cynanchum auriculatum,PE西藏队,PE6768,20170916,西藏自治区,3013,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330614.jpg,,,,,,,,,, +牛皮消,Cynanchum auriculatum,"朱大海,王永,苏小镔",828,20020812,四川省,1100,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115596.jpg,,,,,,,,,, +牛皮消,Cynanchum auriculatum,江西队,81,19710712,江西省,800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108915.jpg,,,,,,,,,, +白首乌,Cynanchum bungei,"石硕,梁文达",SZ4167,20141002,河北省,557,山坡阳,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091237.jpg,,,,,,,,,, +白首乌,Cynanchum bungei,云台山采集队,707,20090611,河南省,,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022763.jpg,,,,,,,,,, +白首乌,Cynanchum bungei,老铁山采集队,337,20080710,辽宁省,,灌草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883546.jpg,,,,,,,,,, +美翼杯冠藤,Cynanchum callialatum,陶国达,12836,19741017,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/035331.jpg,,,,,,,,,, +美翼杯冠藤,Cynanchum callialatum,李延辉,2196,,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/035332.jpg,,,,,,,,,, +粉绿白前,Cynanchum canescens,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201355,20200729,西藏,2235,林中,草质藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1506744.jpg,,,,,,,,,, +鹅绒藤,Cynanchum chinense,周口店采集队,179,20080927,北京市,140,草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112143.jpg,,,,,,,,,, +鹅绒藤,Cynanchum chinense,郭成勇,1505140-2,20040813,山东省,300,山坡荒草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108874.jpg,,,,,,,,,, +鹅绒藤,Cynanchum chinense,中苏队,33,19600624,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078666.jpg,,,,,,,,,, +豹药藤,Cynanchum decipiens,236 四川任务组,41,19720727,四川省,,山坡沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02085550.jpg,,,,,,,,,, +豹药藤,Cynanchum decipiens,青藏科考队,11658,19760601,西藏自治区,2600,山坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01022412.jpg,,,,,,,,,, +豹药藤,Cynanchum decipiens,王启无,70277,19350900,云南省,2700,Mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01022410.jpg,,,,,,,,,, +,Cynanchum forrestii var. forrestii,"李渤生,李辉,阳艺",13439,19900903,西藏自治区,3100~3300,亚高山草甸中时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01196337.jpg,,,,,,,,,, +大理白前,Cynanchum forrestii var. forrestii,陕西省秦考队,175,19640714,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH012322.jpg,,,,,,,,,, +大理白前,Cynanchum forrestii var. forrestii,弥渡普查队,5329250928,20120727,云南省,2798,,草本,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0016275.jpg,,,,,,,,,, +竹灵消,Cynanchum inamoenum,236 四川任务组,18,19720701,四川省,2600,地边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02085552.jpg,,,,,,,,,, +竹灵消,Cynanchum inamoenum,孔冬梅,k0375,20140717,山西省,450,河滩地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036193.jpg,,,,,,,,,, +竹灵消,Cynanchum inamoenum,"石硕,祝东立,祝振清",SZ3971,20140812,河北省,1379,沟 水边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02034819.jpg,,,,,,,,,, +喀什牛皮消,Cynanchum kashgaricum,刘名廷,261,60.07.12,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00022131.jpg,,,,,,,,,, +线萼白前,Cynanchum linearisepalum,青藏队,13593,19830904,四川省,2300,河边 山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132686.jpg,,,,,,,,,, +白牛皮消,Cynanchum lysimachioides,川经西,3473,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01132754.jpg,,,,,,,,,, +白牛皮消,Cynanchum lysimachioides,中国科学院植物研究所黄河调查队,894,19570612,山西省,1300,路旁阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01023015.jpg,,,,,,,,,, +白牛皮消,Cynanchum lysimachioides,J.F. Rock,5317,1922.5.,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005639.jpg,,,,,,,,,, +华北白前,Cynanchum mongolicum,段俊喜,361,19560709,河北省,1490,山谷 水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811745.jpg,,,,,,,,,, +华北白前,Cynanchum mongolicum,联大,5324,0,宁夏回族自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/307744.jpg,,,,,,,,,, +华北白前,Cynanchum mongolicum,张磊,QTP-LJQ-1237-3006,20190802,内蒙古,1451,荒漠草原,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1476767.jpg,,,,,,,,,, +朱砂藤,Cynanchum officinale,安明态,5160,20030703,贵州省,1300,沟谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108898.jpg,,,,,,,,,, +朱砂藤,Cynanchum officinale,李光照,15131,19970726,广西壮族自治区,1700,路旁,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02108831.jpg,,,,,,,,,, +朱砂藤,Cynanchum officinale,张树仁等,1813,20140612,四川省,1117,山坡 林下 沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918876.jpg,,,,,,,,,, +青羊参,Cynanchum otophyllum,"税玉民,陈文红,张美德,赵厚涛等",64644,20060820,云南省,2244,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108851.jpg,,,,,,,,,, +青羊参,Cynanchum otophyllum,川经植,1803,19590820,四川省,,阳处岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01023308.jpg,,,,,,,,,, +青羊参,Cynanchum otophyllum,姚仲吾,4500,19390000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01023189.jpg,,,,,,,,,, +徐长卿,Cynanchum paniculatum,张杰,4066,20030901,贵州省,780,山坡林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108879.jpg,,,,,,,,,, +徐长卿,Cynanchum paniculatum,"曹子余,程树志,韩家懋",42,20010712,吉林省,500,山坡向阳,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108828.jpg,,,,,,,,,, +徐长卿,Cynanchum paniculatum,"石硕,祝东立,祝振清",SZ3848,20140809,河北省,1530,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/02035745.jpg,,,,,,,,,, +,Cynanchum steppicolum,姜恕等,2878,19610522,四川省,3140,河谷台地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132830.jpg,,,,,,,,,, +,Cynanchum steppicolum,青藏队,984,19810614,云南省,3400,放牧草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132827.jpg,,,,,,,,,, +,Cynanchum szechuanense var. albescens,T.T.Yu,7222,19370704,四川省,2500,in thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132840.jpg,,,,,,,,,, +,Cynanchum szechuanense var. albescens,甘啟良,GanQL1607,20191021,湖北,955,无,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486667.jpg,,,,,,,,,, +白花四川鹅绒藤,Cynanchum szechuanense var. albescens,余岩、吴奕辰,2020225,20200714,四川,3179,路边,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02020225.jpg,,,,,,,,,, +,Cynanchum szechuanense var. szechuanense,彭玉兰、涂卫国、余春丽,Gaoxf802,20080824,四川,1572,,攀援草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0203709.jpg,,,,,,,,,, +地梢瓜,Cynanchum thesioides,陈全胜,CF02-4004,20180624,内蒙古自治区,1276,典型草原,地势平坦,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246806.jpg,,,,,,,,,, +地梢瓜,Cynanchum thesioides,周口店考察队,53,20080711,北京市,124,路边灌草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112140.jpg,,,,,,,,,, +地梢瓜,Cynanchum thesioides,郭成勇,20064-370-4,20060909,山东省,300,山坡荒地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02108869.jpg,,,,,,,,,, +,Cynanchum vincetoxicum,236 四川任务组,781,19720814,四川省,3000,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02085557.jpg,,,,,,,,,, +,Cynanchum vincetoxicum,,,19590300,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078690.jpg,,,,,,,,,, +催吐白前,Cynanchum vincetoxicum,G.Masamune,4432,19360720,台湾省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0519323.jpg,,,,,,,,,, +昆明杯冠藤,Cynanchum wallichii,"李渤生,倪志诚,程树志",6056,19830731,西藏自治区,2900,山坡 灌丛中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01506091.jpg,,,,,,,,,, +昆明杯冠藤,Cynanchum wallichii,秦仁昌,25277,19291026,云南省,,丛林上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01132821.jpg,,,,,,,,,, +昆明杯冠藤,Cynanchum wallichii,,396,19420815,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01024041.jpg,,,,,,,,,, +隔山消,Cynanchum wilfordii,PE西藏考察队,7912,20180626,西藏自治区,3081~3200,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332659.jpg,,,,,,,,,, +隔山消,Cynanchum wilfordii,王功范,1-0470,20030627,贵州省,700,沟谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108919.jpg,,,,,,,,,, +隔山消,Cynanchum wilfordii,"傅德志,陈淑荣,邵毅贞等",1715,20140425,四川省,1120~1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021096.jpg,,,,,,,,,, +狗牙根,Cynodon dactylon,Joseph P.W.Woo & T.K.Woo,887,19721114,香港,,weed at the bottom of a lawned slope the runners filled the nearby ditch,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109680.jpg,,,,,,,,,, +狗牙根,Cynodon dactylon,Peng Hua et al.,167,20070808,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089476.jpg,,,,,,,,,, +狗牙根,Cynodon dactylon,C.L.Huang & C.M.Wang,6,20020524,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089450.jpg,,,,,,,,,, +倒提壶,Cynoglossum amabile var. amabile,弥渡普查队,5329250023,20120715,云南省,2341,,草本,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0019568.jpg,,,,,,,,,, +倒提壶(原变种),Cynoglossum amabile var. amabile,白洪兵、李红,533324180827485LY,20180827,云南,3015,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009442.jpg,,,,,,,,,, +倒提壶(原变种),Cynoglossum amabile var. amabile,谢登峰、蔡竞、秦换换,SC-00-017-A-045,20200830,四川,3065.73m,高山草原,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02062625.jpg,,,,,,,,,, +滇西琉璃草,Cynoglossum amabile var. pauciglochidiatum,刘杰,罗亚皇,刘基男,谭少林,YMT3200-1-1033,20130728,云南,3247,云南松-帽斗栎林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1437242.jpg,,,,,,,,,, +甘青琉璃草,Cynoglossum gansuense,白水江考察队,669,20060629,甘肃省,2000,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800570.jpg,,,,,,,,,, +甘青琉璃草,Cynoglossum gansuense,钟补求,8882,19580711,青海省,,林边草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01336748.jpg,,,,,,,,,, +小花琉璃草,Cynoglossum lanceolatum,"刘正宇,张军等",RQHZ06671,20140805,四川省,1205,黄壤 草丛 路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115346.jpg,,,,,,,,,, +小花琉璃草,Cynoglossum lanceolatum,云台山采集队,1020,20090800,河南省,,山地路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02030731.jpg,,,,,,,,,, +小花琉璃草,Cynoglossum lanceolatum,北京队,891256,19890512,广西壮族自治区,200,河边,石灰山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009555.jpg,,,,,,,,,, +心叶琉璃草,Cynoglossum triste,"韩裕丰,邓坤梅",81-1124(标8),19810710,云南省,3450,箭竹高山栎冷杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01360709.jpg,,,,,,,,,, +心叶琉璃草,Cynoglossum triste,姜恕等,10229,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01336926.jpg,,,,,,,,,, +心叶琉璃草,Cynoglossum triste,George Forrest,28440,19300700,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01336927.jpg,,,,,,,,,, +西南琉璃草,Cynoglossum wallichii var. wallichii,郝加琛 ,15130,20150707,四川,2965,山谷,草本,有花有果,https://image.cvh.ac.cn/files/l/BNU/0055388.jpg,,,,,,,,,, +锁阳,Cynomorium songaricum,Sino-Russian Altai Expedition,SRAE2004210,20040000,新疆维吾尔自治区,,Saline habitats and sandy desert around the lake,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766755.jpg,,,,,,,,,, +锁阳,Cynomorium songaricum,C.Davaeamc et al.,1073,19620620,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01578796.jpg,,,,,,,,,, +锁阳,Cynomorium songaricum,"吴征镒,陈书坤,杜庆等",75-0227,19750610,青海省,3000,白剌沙丘,,无花无果,https://image.cvh.ac.cn/files/l/PE/00978949.jpg,,,,,,,,,, +阿穆尔莎草,Cyperus amuricus,郭成勇,20064-289-8,20060817,山东省,350,山坡林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01944568.jpg,,,,,,,,,, +阿穆尔莎草,Cyperus amuricus,赵常明,EX0115,20070829,湖北省,1250,阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823106.jpg,,,,,,,,,, +阿穆尔莎草,Cyperus amuricus,刘淼等,A150036,20060818,安徽省,300,生于山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01798122.jpg,,,,,,,,,, +长尖莎草,Cyperus cuspidatus,,东兴12草1,19731115,广西壮族自治区,50,海溪砂地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017291.jpg,,,,,,,,,, +长尖莎草,Cyperus cuspidatus,H.H.Bartlett,8067,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01770759.jpg,,,,,,,,,, +长尖莎草,Cyperus cuspidatus,M.Suzuki et al.,98506,19980622,福建省,190~240,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01770757.jpg,,,,,,,,,, +莎状砖子苗,Cyperus cyperinus,洪利兴、谢珂,2339,19850813,浙江省,800,南坡花生地中,草本,无花无果,https://image.cvh.ac.cn/files/l/ZM/ZMNH0047602.jpg,,,,,,,,,, +莎状砖子苗,Cyperus cyperinus,何明娟,20185364,20180421,贵州省,477,木栈道旁,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0028804.jpg,,,,,,,,,, +,Cyperus cyperoides,"董洪进,王泽欢,胡国雄等",LC-Z-011,20130712,云南省,1140,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308950.jpg,,,,,,,,,, +,Cyperus cyperoides,"李振宇,傅连中,范晓虹等",11712,20090417,广东省,,荒地中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067256.jpg,,,,,,,,,, +异型莎草,Cyperus difformis,秦仁昌,1667,19560811,新疆维吾尔自治区,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308933.jpg,,,,,,,,,, +异型莎草,Cyperus difformis,D.A.Halford,QM1537,20140509,,,open woodland with dense grassy understorey clay soil seasonally wet alluvial flat,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109570.jpg,,,,,,,,,, +异型莎草,Cyperus difformis,高瑞卿,Kao1286,20100416,台湾省,,池沼,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089714.jpg,,,,,,,,,, +参穗莎草,Cyperus eleusinoides,,14842,19760828,四川省,560,金沙江边 沙坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705081.jpg,,,,,,,,,, +参穗莎草,Cyperus eleusinoides,陈昭宙,50786,19570629,广西壮族自治区,,水旁 路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705080.jpg,,,,,,,,,, +参穗莎草,Cyperus eleusinoides,绿春队,1350,19740531,云南省,500~700,山坡 水旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705079.jpg,,,,,,,,,, +,Cyperus fuscus var. pallido-marginatus,"Ducloux, F.",3639,1905/10/4,,,,,,https://image.cvh.ac.cn/files/l/P/P00587028.jpg,,,,,,,,,, +畦畔莎草,Cyperus haspan,高瑞卿,Kao1241,20100311,台湾省,,水田,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089854.jpg,,,,,,,,,, +畦畔莎草,Cyperus haspan,"董洪进,王泽欢,胡国雄等",RL-Z-242,20131208,云南省,931,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043385.jpg,,,,,,,,,, +畦畔莎草,Cyperus haspan,广西调查队,3956,19531014,广西壮族自治区,,草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017215.jpg,,,,,,,,,, +碎米莎草,Cyperus iria,覃海宁 于胜祥 刘博 叶建飞 黄云峰,19348,20080421,广西壮族自治区,,河边沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112372.jpg,,,,,,,,,, +碎米莎草,Cyperus iria,周口店考察队,257,20080927,北京市,140,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112242.jpg,,,,,,,,,, +碎米莎草,Cyperus iria,,13,,江西省,,瓜地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078132.jpg,,,,,,,,,, +南莎草,Cyperus niveus,川经植,3228,19590527,四川省,700,小溪边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01788587.jpg,,,,,,,,,, +南莎草,Cyperus niveus,Stainton et al.,5845,19540620,,1167,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01722196.jpg,,,,,,,,,, +,Cyperus pannonicus,司克窝尔错夫 赵大昌等,707,19510912,黑龙江省,,水湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01704544.jpg,,,,,,,,,, +,Cyperus pannonicus,蒙宁队,1327,19620830,内蒙古自治区,,沼泽地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01704542.jpg,,,,,,,,,, +,Cyperus pannonicus,T.N.Liou,3725,19310909,新疆维吾尔自治区,1000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01704543.jpg,,,,,,,,,, +毛轴莎草,Cyperus pilosus,刘标,1569,20050701,广西壮族自治区,750,草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01770659.jpg,,,,,,,,,, +毛轴莎草,Cyperus pilosus,,4,19690300,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01770706.jpg,,,,,,,,,, +毛轴莎草,Cyperus pilosus,"陈耀东,倪瑞生",263,19800830,福建省,,水边或水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705472.jpg,,,,,,,,,, +香附子,Cyperus rotundus,"川西队,关克俭,王文采等",3444,19630913,四川省,850,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093116.jpg,,,,,,,,,, +香附子,Cyperus rotundus,钟明哲,3651,20081105,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089850.jpg,,,,,,,,,, +香附子,Cyperus rotundus,刘亮,10,19690715,江西省,,大豆地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078129.jpg,,,,,,,,,, +无苞杓兰,Cypripedium bardolphianum,白龙江考察队,1698,19990602,甘肃省,2500,坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537271.jpg,,,,,,,,,, +无苞杓兰,Cypripedium bardolphianum,Luo Yi-bo,816,20020723,四川省,3300,灌丛上或边缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01526985.jpg,,,,,,,,,, +无苞杓兰,Cypripedium bardolphianum,王启无,68317,19350800,云南省,3600,Mountain slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00292660.jpg,,,,,,,,,, +对叶杓兰,Cypripedium debile,R.P.Farges,1339,18950508,四川省,2000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01722046.jpg,,,,,,,,,, +对叶杓兰,Cypripedium debile,,8037,19380000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01634256.jpg,,,,,,,,,, +雅致杓兰,Cypripedium elegans,Luo Yi-bo,58,19960704,云南省,3600,"N facing slope of Yulong Snow M,alpine meadow.Only one indicidual was found here",,有花无果,https://image.cvh.ac.cn/files/l/PE/01527336.jpg,,,,,,,,,, +雅致杓兰,Cypripedium elegans,西藏中草药普查队,613,19720629,西藏自治区,3700,灌木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00292679.jpg,,,,,,,,,, +雅致杓兰,Cypripedium elegans,李剑武,2336,20120927,云南,1900,常绿阔叶林,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028046.jpg,,,,,,,,,, +毛瓣杓兰,Cypripedium fargesii,R.P.Farges,585,,四川省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01722054.jpg,,,,,,,,,, +毛瓣杓兰,Cypripedium fargesii,白龙江考察队,1248,19990523,甘肃省,1800,阳坡 路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537272.jpg,,,,,,,,,, +大叶杓兰,Cypripedium fasciolatum,236 四川任务组,1053,19710912,四川省,1800,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01534556.jpg,,,,,,,,,, +大叶杓兰,Cypripedium fasciolatum,鄂神农架队,21722,19760812,湖北省,850,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01057001.jpg,,,,,,,,,, +黄花杓兰,Cypripedium flavum,HK kadoorie PT,3484,20020500,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097132.jpg,,,,,,,,,, +黄花杓兰,Cypripedium flavum,M.Iabbe Delavay,575,18920000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01722053.jpg,,,,,,,,,, +黄花杓兰,Cypripedium flavum,,134,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01722050.jpg,,,,,,,,,, +毛杓兰,Cypripedium franchetii,刘俊杰,62,19730609,陕西省,2300,山坡 林下 阳,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911429.jpg,,,,,,,,,, +毛杓兰,Cypripedium franchetii,,55,19880619,河南省,1850,红桦林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911599.jpg,,,,,,,,,, +紫点杓兰,Cypripedium guttatum,PE西藏考察队,7327,20180616,西藏自治区,3631,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331719.jpg,,,,,,,,,, +紫点杓兰,Cypripedium guttatum,李才贵,151,19840630,山西省,2000,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081477.jpg,,,,,,,,,, +紫点杓兰,Cypripedium guttatum,,46,,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033077.jpg,,,,,,,,,, +绿花杓兰,Cypripedium henryi,巴山采集队,3442,20100723,陕西省,915,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059916.jpg,,,,,,,,,, +绿花杓兰,Cypripedium henryi,巴山采集队,5845,20120629,四川省,1300~1440,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059760.jpg,,,,,,,,,, +高山杓兰,Cypripedium himalaicum,PE西藏考察队,7654,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331749.jpg,,,,,,,,,, +高山杓兰,Cypripedium himalaicum,,22399,19590713,云南省,0~3250,山坡上,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/00006256.jpg,,,,,,,,,, +高山杓兰,Cypripedium himalaicum,余岩、李娟,2021193,20200718,四川,3822,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02021193.jpg,,,,,,,,,, +,Cypripedium macranthos,温带森林组,243,19620713,吉林省,1480,岳株林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01805162.jpg,,,,,,,,,, +,Cypripedium macranthos,北京市中草药普查队,房97,19710519,北京市,,草坡 或杨树林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01205978.jpg,,,,,,,,,, +,Cypripedium macranthos,,密519,19720712,河北省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01205976.jpg,,,,,,,,,, +斑叶杓兰,Cypripedium margaritaceum,Luo Yi-bo,220(46),19980630,四川省,2510,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527059.jpg,,,,,,,,,, +斑叶杓兰,Cypripedium margaritaceum,,s.n.,19810711,云南省,,栎林下伴生种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487490.jpg,,,,,,,,,, +斑叶杓兰,Cypripedium margaritaceum,G.Forrest,10267,19130000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0626028.jpg,,,,,,,,,, +巴郎山杓兰,Cypripedium palangshanense,F.T.Wang,21164,19300604,四川省,2200,in thicket,,有花无果,https://image.cvh.ac.cn/files/l/PE/00027325.jpg,,,,,,,,,, +,Cypripedium palangshanense,F. T. Wang bis,21164,1930/6/4,,,,,,https://image.cvh.ac.cn/files/l/HUH/AMES00098686.jpg,,,,,,,,,, +,Cypripedium palangshanense,余奇;熊静,CIBYQ071,20190617,四川,2955,柳-竹混交,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0245183.jpg,,,,,,,,,, +离萼杓兰,Cypripedium plectrochilum,周仕顺,6188,20090526,云南省,3300,山坡高山松黄背栎混交林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033535.jpg,,,,,,,,,, +离萼杓兰,Cypripedium plectrochilum,R.P.Farges,1031,18920506,四川省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01722044.jpg,,,,,,,,,, +山西杓兰,Cypripedium shanxiense,"Zhu, Chen, Xu,Wang",1455,19990709,陕西省,2900~3100,edges of forests shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033081.jpg,,,,,,,,,, +山西杓兰,Cypripedium shanxiense,Luo Yi-bo,837,20020726,四川省,2960,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01526943.jpg,,,,,,,,,, +暖地杓兰,Cypripedium subtropicum,李渤生等,11188,19800719,西藏自治区,1400,生于桤木林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00027329.jpg,,,,,,,,,, +西藏杓兰,Cypripedium tibeticum,PE西藏考察队,7321,20180616,西藏自治区,3631,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332380.jpg,,,,,,,,,, +西藏杓兰,Cypripedium tibeticum,"Jin Xiaohua,Jin Weitao",14577,20140812,四川省,3747,alpine meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233701.jpg,,,,,,,,,, +西藏杓兰,Cypripedium tibeticum,赵鑫磊,,20130629,北京市,,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109922.jpg,,,,,,,,,, +宽口杓兰,Cypripedium wardii,"Jin Xh,Wang LS Wang Q et al.",ST2910,20130810,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977238.jpg,,,,,,,,,, +宽口杓兰,Cypripedium wardii,康藏植物考察队,10-3351,20100905,云南省,3900,流石淮,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866676.jpg,,,,,,,,,, +云南杓兰,Cypripedium yunnanense,"郎楷永,李良千,费勇",3001,19830628,四川省,3300,Picea林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01146937.jpg,,,,,,,,,, +云南杓兰,Cypripedium yunnanense,姜恕等,10103,19600620,云南省,3350,草甸边缘,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00293443.jpg,,,,,,,,,, +,Cyrtococcum patens var. patens,曹子余,779,19580920,贵州省,1100,山坡疏林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437209.jpg,,,,,,,,,, +,Cyrtococcum patens var. patens,"李渤生,程树志等",1007,19820922,西藏自治区,2200,常绿林内石上时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00448674.jpg,,,,,,,,,, +,Cyrtococcum patens var. patens,"彭华, 向春雷, 陈丽, 董朝辉, 刘艳春",P.H.5710,20071230,云南,750,无,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444729.jpg,,,,,,,,,, +丽江鳔冠花,Cystacanthus affinis,G. Forrest,12493,1914,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0004957.jpg,,,,,,,,,, +丽江鳔冠花,Cystacanthus affinis,张永田,郎楷永,3277,19660511,西藏自治区,1700,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/233578.jpg,,,,,,,,,, +丽江鳔冠花,Cystacanthus affinis,俞德浚,6393,19370618,四川省,2200,地边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/233576.jpg,,,,,,,,,, +,Cytisus scoparius,,75-106,19750526,西藏自治区,3650,公园内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01153798.jpg,,,,,,,,,, +,Cytisus scoparius,C.E.K.et F.P.M,11856,19300528,,,Buss,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490308.jpg,,,,,,,,,, +丽江紫金龙,Dactylicapnos lichiangensis,蓝顺彬,9,19840722,云南省,2560,潮湿山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308648.jpg,,,,,,,,,, +丽江紫金龙,Dactylicapnos lichiangensis,青藏队,14538,19830908,四川省,2700~800,沟边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057120.jpg,,,,,,,,,, +丽江紫金龙,Dactylicapnos lichiangensis,藏东南考察队 金效华等,SET-ET810,20090826,西藏自治区,3181,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050776.jpg,,,,,,,,,, +宽果紫金龙,Dactylicapnos roylei,四川省植被调查队,乡2886,19730706,四川省,3200,稍阴的荒地上,,无花无果,https://image.cvh.ac.cn/files/l/PE/02308649.jpg,,,,,,,,,, +宽果紫金龙,Dactylicapnos roylei,"D.E.Boufford,S.L.Kelley,R.H.Ree etc.",35382,20060726,云南省,3050,mostly planted forest on slopes forest and surrounding areas infested with leeches beside river in moist soil,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040974.jpg,,,,,,,,,, +紫金龙,Dactylicapnos scandens,H.T.Tsai,52955,19330718,云南省,3000,in rock crevice,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231397.jpg,,,,,,,,,, +紫金龙,Dactylicapnos scandens,陈伟烈,14532,19800830,西藏自治区,2100,山坡树根附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073061.jpg,,,,,,,,,, +紫金龙,Dactylicapnos scandens,华南分队,2186,19891002,广西壮族自治区,1200,山地山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062743.jpg,,,,,,,,,, +扭果紫金龙,Dactylicapnos torulosa,"税玉民,陈文红,张美德,赵厚涛等",64427,20060816,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02308654.jpg,,,,,,,,,, +扭果紫金龙,Dactylicapnos torulosa,赵佐成,2194,19930410,四川省,2250,林边阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/02050678.jpg,,,,,,,,,, +扭果紫金龙,Dactylicapnos torulosa,"程树志,李渤生",1406,19821004,西藏自治区,2350,常绿阔叶林下荒坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02050674.jpg,,,,,,,,,, +,Dactylis glomerata var. himalayensis,田效文,s.n.,19840725,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487525.jpg,,,,,,,,,, +,Dactylis glomerata var. himalayensis,青藏队,8470,19760716,西藏自治区,3600,河滩草地湿润处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00448921.jpg,,,,,,,,,, +,Dactylis glomerata var. himalayensis,K.M.Feng,4943,19400619,云南省,2300,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00448919.jpg,,,,,,,,,, +,Dactylorhiza umbrosa,"刘成, 张挺, 李昌洪, 熊晓强",16CS12406,20160609,新疆,530,农地旁水塘边潮湿处,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1453216.jpg,,,,,,,,,, +,Dactylorhiza viridis,"亚吉东, 张桥蓉, 胡枭剑",16CS13049,20160616,新疆,2527,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1444846.jpg,,,,,,,,,, +凹舌掌裂兰,Dactylorhiza viridis,北师大队,LPS2015091,20150724,宁夏回族自治区,,灌丛草地,,,https://image.cvh.ac.cn/files/l/BNU/0018687.jpg,,,,,,,,,, +凹舌掌裂兰,Dactylorhiza viridis,张代贵,lj0125096,20110525,湖北神农架,,山坡林下,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU48227.jpg,,,,,,,,,, +,Dalbergia assamica,"覃海宁,于胜祥,侯满福",18952,20051008,广西壮族自治区,960,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01514710.jpg,,,,,,,,,, +,Dalbergia assamica,生态室高原组,11305,19800724,西藏自治区,,次生林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495246.jpg,,,,,,,,,, +,Dalbergia assamica,紫胶队,2211,19560000,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01229483.jpg,,,,,,,,,, +象鼻藤,Dalbergia mimosoides,川黔队,702,19560621,重庆市,220,岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083727.jpg,,,,,,,,,, +象鼻藤,Dalbergia mimosoides,"李渤生,程树志",876,19820912,西藏自治区,2100,林边河谷灌丛常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074735.jpg,,,,,,,,,, +象鼻藤,Dalbergia mimosoides,林秦文,2013-105,20130529,云南省,1600~1750,沟谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/02040646.jpg,,,,,,,,,, +,Dalbergia pinnata,华南队,1151,19890603,广西壮族自治区,400,山地山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996873.jpg,,,,,,,,,, +,Dalbergia pinnata,中国科学院西南综考队川滇黔接壤分队,106,19650422,云南省,1300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01229354.jpg,,,,,,,,,, +,Dalbergia pinnata,,123,19730621,西藏自治区,,谷地湿润,,无花有果,https://image.cvh.ac.cn/files/l/PE/00417309.jpg,,,,,,,,,, +,Dalbergia yunnanensis,张志耘 谢磊等,2016-096,20151207,广西壮族自治区,950,"valley, road side",,无花有果,https://image.cvh.ac.cn/files/l/PE/02309128.jpg,,,,,,,,,, +,Dalbergia yunnanensis,林秦文,2013-021,20130527,云南省,1600~1750,沟谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/02040651.jpg,,,,,,,,,, +,Dalbergia yunnanensis,攀枝花苏铁考察队,68,20100711,四川省,1613,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01879904.jpg,,,,,,,,,, +虎刺,Damnacanthus indicus,"李渤生,程树志",4237,19830422,西藏自治区,1500~2200,"Cy,Mo及Ca常绿林下常见小灌木",,有花无果,https://image.cvh.ac.cn/files/l/PE/02080896.jpg,,,,,,,,,, +虎刺,Damnacanthus indicus,北京植物所横断山队,209,19810529,云南省,2400,常见阔叶林下常见小灌木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043573.jpg,,,,,,,,,, +虎刺,Damnacanthus indicus,广西队,922,19530528,广西壮族自治区,,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011562.jpg,,,,,,,,,, +,Danthonia cachemyriana,"姜恕,郑度",184,19671003,西藏自治区,3900~4100,阴坡灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469454.jpg,,,,,,,,,, +,Danthonia cachemyriana,"汤宗孝,田效文,张正华",1045,19810912,云南省,3570,柳灌丛羊茅山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487518.jpg,,,,,,,,,, +,Danthonia cachemyriana,四川省植被调查队,3739,19730813,四川省,4000,河谷草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00449039.jpg,,,,,,,,,, +,Danthonia cumminsii,尹志坚等,2281,20090916,云南省,2900,alpine meadow,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089379.jpg,,,,,,,,,, +,Danthonia cumminsii,PE西藏队,PE6316,20170911,西藏自治区,2445,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891318.jpg,,,,,,,,,, +,Danthonia cumminsii,Y.Omori et al.,99200411,19990806,,3490,Open grassland slopes,,有花有果,https://image.cvh.ac.cn/files/l/PE/01664160.jpg,,,,,,,,,, +尖瓣瑞香,Daphne acutiloba,75西藏队,64,19751101,西藏自治区,2700,路旁阴处灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092149.jpg,,,,,,,,,, +尖瓣瑞香,Daphne acutiloba,甘启良,3284,20090408,湖北省,1000,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066174.jpg,,,,,,,,,, +尖瓣瑞香,Daphne acutiloba,Q.Wang,51,19991000,四川省,2400,山坡林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01893915.jpg,,,,,,,,,, +橙黄瑞香,Daphne aurantiaca,孙航等,15127,20100531,四川省,3145,山坡上,山坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920168.jpg,,,,,,,,,, +橙黄瑞香,Daphne aurantiaca,"李文华,胡勇",H81-061,19810530,云南省,3400,杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597464.jpg,,,,,,,,,, +藏东瑞香 (原变种),Daphne bholua var. bholua,方震东、方晔,HP-1330,20180426,云南,3057,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009639.jpg,,,,,,,,,, +川西瑞香,Daphne gemmata,F.T.Wang,20513,19300400,四川省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0200092.jpg,,,,,,,,,, +川西瑞香,Daphne gemmata,陕西省中草药科研组,1276,1970/5/13,陕西省,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0284726.jpg,,,,,,,,,, +川西瑞香,Daphne gemmata,F.T. Wang,20513,1930/04/,四川,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0048238.jpg,,,,,,,,,, +黄瑞香,Daphne giraldii,"杨红梅,郎校安,邵毅贞等",1659,20140425,四川省,1120~1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021102.jpg,,,,,,,,,, +黄瑞香,Daphne giraldii,孙学刚等,20010388,20010818,甘肃省,2500,沟谷灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01833650.jpg,,,,,,,,,, +黄瑞香,Daphne giraldii,S.Kirt et al.,8459V98,19980527,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01678739.jpg,,,,,,,,,, +长瓣瑞香,Daphne longilobata,罗建等,LuoJian-ZX-0900,20090606,西藏自治区,2526,"林缘灌丛,草地",,无花无果,https://image.cvh.ac.cn/files/l/PE/01924213.jpg,,,,,,,,,, +长瓣瑞香,Daphne longilobata,马欣堂等,87-0390,19870506,四川省,1000,山坡上部密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598633.jpg,,,,,,,,,, +长瓣瑞香,Daphne longilobata,K.M.Feng,5781,19400725,云南省,2200,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597334.jpg,,,,,,,,,, +瘦叶瑞香,Daphne modesta,汤宗孝,541,19820728,四川省,2900,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01611311.jpg,,,,,,,,,, +瘦叶瑞香,Daphne modesta,白龙江考察队,915,19980727,甘肃省,2110,山地 山谷 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560470.jpg,,,,,,,,,, +乌饭瑞香,Daphne myrtilloides,"T.N.Liou, P.C.Tsoong et C.S.Tien",280,19390516,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01068408.jpg,,,,,,,,,, +乌饭瑞香,Daphne myrtilloides,黄河调查队,3668,19560514,甘肃省,1400,疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01068409.jpg,,,,,,,,,, +,Daphne papyracea var. papyracea,"刘成, 亚吉东, 李昌洪, 李永亮",18CS16710,20180315,云南,2662,林中小路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487143.jpg,,,,,,,,,, +,Daphne purpurascens,青藏队补点队,751793,19750830,西藏自治区,2900,林缘灌丛下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01058395.jpg,,,,,,,,,, +,Daphne purpurascens,扎西次仁,拉穷,西落,ZhongY529,20090502,西藏,2929,针阔混交林,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1247482.jpg,,,,,,,,,, +凹叶瑞香,Daphne retusa,横断山队植被组,4031,19830608,四川省,3100,林下(混交林下),,有花有果,https://image.cvh.ac.cn/files/l/PE/02067874.jpg,,,,,,,,,, +凹叶瑞香,Daphne retusa,"Ying Tsun-shen,Guo Qin-feng,Li Yun-feng etc.",293,19870720,陕西省,2150,In woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028492.jpg,,,,,,,,,, +凹叶瑞香,Daphne retusa,"韩裕丰,邓坤梅",81-1101,19810710,云南省,3480,箭竹高山栎冷杉林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01597461.jpg,,,,,,,,,, +华瑞香,Daphne rosmarinifolia,李馨,70439,19570504,四川省,3050,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0200500.jpg,,,,,,,,,, +华瑞香,Daphne rosmarinifolia,洮河队,3400,19570616,甘肃省,0,山坡阳处,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0468955.jpg,,,,,,,,,, +唐古特瑞香,Daphne tangutica var. tangutica,黎斌、李思锋、陈昊,LB19236,20170425,陕西省,1837,山坡灌木丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH011816.jpg,,,,,,,,,, +,Daphne tangutica var. tangutica,"Ducloux, F.",2024,1901/3/17,,,,,,https://image.cvh.ac.cn/files/l/P/P00713349.jpg,,,,,,,,,, +,Daphniphyllum chartaceum,"刘恩德,方伟,徐洲锋等",4288,20150703,云南省,2677,in forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074419.jpg,,,,,,,,,, +纸叶虎皮楠,Daphniphyllum chartaceum,"张挺, 何德明, 黎谷香",12CS4234,20121018,云南,,山坡林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395127.jpg,,,,,,,,,, +纸叶虎皮楠,Daphniphyllum chartaceum,胡君,熊豫宁,伍小刚,王东超,HJ05258,20151018,西藏自治区,1600,山坡疏林中,常绿小乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00594521.jpg,,,,,,,,,, +西藏虎皮楠,Daphniphyllum himalense,"李渤生,程树志",4365,19830428,西藏自治区,1900~2300,常绿阔叶林中常见高大乔木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494981.jpg,,,,,,,,,, +西藏虎皮楠,Daphniphyllum himalense,H.Ohashi ,68611,20040611,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01348430.jpg,,,,,,,,,, +脉叶虎皮楠,Daphniphyllum paxianum,Sino-American Guizhou Botanical Exp.,291,19860824,贵州省,550,on river bank,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983442.jpg,,,,,,,,,, +脉叶虎皮楠,Daphniphyllum paxianum,中苏调查团,2439,19550626,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983433.jpg,,,,,,,,,, +脉叶虎皮楠,Daphniphyllum paxianum,"熊济华,张秀实,蒋兴麟",33607,19521112,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983241.jpg,,,,,,,,,, +喙果皂帽花,Dasymaschalon rostratum,,126,19660425,广西壮族自治区,450,砂子岩山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01986511.jpg,,,,,,,,,, +喙果皂帽花,Dasymaschalon rostratum,Y.M.Shui et al.,30946,20021009,云南省,,in the tropical seasonal-rainy forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01864002.jpg,,,,,,,,,, +喙果皂帽花,Dasymaschalon rostratum,梁向日,63258,19331016,海南省,,沿溪疏林半阴处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01186132.jpg,,,,,,,,,, +曼陀罗,Datura stramonium,PE西藏考察队,7801,20180625,西藏自治区,2627,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332569.jpg,,,,,,,,,, +曼陀罗,Datura stramonium,"刘正宇,张军等",RQHZ06689,20140814,重庆市,547,黄壤 荒地 杂草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115342.jpg,,,,,,,,,, +曼陀罗,Datura stramonium,"刘正宇,张军等",RQHZ06288,20141105,四川省,1495,红壤 草丛 荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115335.jpg,,,,,,,,,, +野胡萝卜,Daucus carota,"赵清盛,师进斌,范德刚",114102,19810520,四川省,2600,农耕地旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098145.jpg,,,,,,,,,, +野胡萝卜,Daucus carota,张新时 郭柯,天山-136,19860730,新疆维吾尔自治区,3250,冰碛丘顶 T-022,,有花有果,https://image.cvh.ac.cn/files/l/PE/02096508.jpg,,,,,,,,,, +光叶珙桐,Davidia involucrata var. vilmoriniana,北京队,943,19880603,湖南省,800~900,路边 常绿阔叶落叶混交林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01344270.jpg,,,,,,,,,, +光叶珙桐,Davidia involucrata var. vilmoriniana,,9171,19600531,云南省,2700,流水沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/00937957.jpg,,,,,,,,,, +光叶珙桐,Davidia involucrata var. vilmoriniana,邓懋彬,3552,19561010,江苏省,1220,次生杂木林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00937951.jpg,,,,,,,,,, +长叶水麻,Debregeasia longifolia,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET 1285,20080703,云南省,2000,evergreen broad,,无花有果,https://image.cvh.ac.cn/files/l/PE/02108265.jpg,,,,,,,,,, +长叶水麻,Debregeasia longifolia,PE-BO Team(Zhang X-C etc.),192,20131209,,730~900,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039748.jpg,,,,,,,,,, +水麻,Debregeasia orientalis,"吴增源,刘铭璐",WuZY-2012012,20120720,四川省,934,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02328008.jpg,,,,,,,,,, +水麻,Debregeasia orientalis,巴山采集队,2996,20100722,陕西省,970,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066129.jpg,,,,,,,,,, +柳叶水麻,Debregeasia saeneb,"李渤生,李辉",14142,19901009,西藏自治区,1400~2600,常绿阔叶林缘时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01487058.jpg,,,,,,,,,, +柳叶水麻,Debregeasia saeneb,高连明,GLM-092394,20090524,云南省,1520,in mixed forest along the pass,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261897.jpg,,,,,,,,,, +柳叶水麻,Debregeasia saeneb,"Poudel,Ram C",RC1556,20100430,,1826,Dry cliff,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261900.jpg,,,,,,,,,, +,Decaisnea insignis,"张树仁,陈淑荣,朗校安等",2018,20140616,四川省,1920~2300,沟谷 山坡 林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02021008.jpg,,,,,,,,,, +,Decaisnea insignis,"Jin Xh,Wang LS,Wang Q et al.",ST1070,20130726,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01979310.jpg,,,,,,,,,, +,Decaisnea insignis,M.Suzuki et al.,9263063,19920515,,2520,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01922256.jpg,,,,,,,,,, +,Deeringia amaranthoides,邓云飞等,15112,20001002,广西壮族自治区,900,山地灌丛肥土石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01985987.jpg,,,,,,,,,, +,Deeringia amaranthoides,陈又生等,664,20111118,西藏自治区,1800,山谷灌丛草坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967772.jpg,,,,,,,,,, +,Deeringia amaranthoides,G.N.Batianoff,5349,19860915,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01899325.jpg,,,,,,,,,, +狭菱形翠雀花,Delphinium angustirhombicum,杨竞生,s.n.,19840700,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934899.jpg,,,,,,,,,, +还亮草,Delphinium anthriscifolium,巴山采集队,6094,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059765.jpg,,,,,,,,,, +还亮草,Delphinium anthriscifolium,孙翔宇,66,20060420,江苏省,100,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050758.jpg,,,,,,,,,, +还亮草,Delphinium anthriscifolium,徐洪贵,17,19950422,四川省,550,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050756.jpg,,,,,,,,,, +秋翠雀花,Delphinium autumnale,Q.E.Yang and Q.Yuan,339,20040925,四川省,3200,rocky grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350390.jpg,,,,,,,,,, +秋翠雀花,Delphinium autumnale,田效文,样103(10),19810913,云南省,3800,亚高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500346.jpg,,,,,,,,,, +巴塘翠雀花,Delphinium batangense,"杨亲二,袁琼",Yangqe2494,20080908,云南省,4000,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01957824.jpg,,,,,,,,,, +巴塘翠雀花,Delphinium batangense,罗艳,417,20010920,四川省,4500,草地潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500272.jpg,,,,,,,,,, +,Delphinium beesianum var. beesianum,冯国楣,23373,19590901,云南省,3400,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/297538.jpg,,,,,,,,,, +短萼翠雀花,Delphinium brevisepalum,赵裕章,21945,19391020,云南,,树林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1203898.jpg,,,,,,,,,, +囊距翠雀花,Delphinium brunonianum,PE西藏队,PE5414,20170830,西藏自治区,5067,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309379.jpg,,,,,,,,,, +囊距翠雀花,Delphinium brunonianum,泛喜马拉雅植物志巴基斯坦采集队,FPH-1380,20120909,新疆维吾尔自治区,4400,草原河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004811.jpg,,,,,,,,,, +拟螺距翠雀花,Delphinium bulleyanum,FLPH Tibet Expedition,12-1377,20120916,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966652.jpg,,,,,,,,,, +拟螺距翠雀花,Delphinium bulleyanum,E.D.Boufford et al.,33404,20050722,四川省,3700~4175,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01505843.jpg,,,,,,,,,, +拟螺距翠雀花,Delphinium bulleyanum,Q.E.Yang and Q.Yuan,160,20030915,云南省,3400~3800,forest margin,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350399.jpg,,,,,,,,,, +,Delphinium caeruleum var. caeruleum,FLPH Tibet Expedition,12-0464,20120911,西藏自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966677.jpg,,,,,,,,,, +白花蓝翠雀花,Delphinium caeruleum var. caeruleum,K.M.Liou,6792,19360824,青海省,2100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934955.jpg,,,,,,,,,, +,Delphinium caeruleum var. caeruleum,"刘成, 张挺, 亚吉东",18CS17448,20180910,西藏,4920,高山碎石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483932.jpg,,,,,,,,,, +弯距翠雀花,Delphinium campylocentrum,D.E.Boufford et al.,40121,20070820,四川省,3650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859755.jpg,,,,,,,,,, +弯距翠雀花,Delphinium campylocentrum,白龙江考察队,505,19980721,甘肃省,2800,山地 山坡 密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560824.jpg,,,,,,,,,, +尾裂翠雀花,Delphinium caudatolobum,E.D.Boufford et al.,36645,20060816,四川省,4475,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01505873.jpg,,,,,,,,,, +假角萼翠雀,Delphinium ceratophoroides,青藏队,10609,19820925,西藏自治区,3700,山坡Abies林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01108314.jpg,,,,,,,,,, +拟角萼翠雀花,Delphinium ceratophoroides,张廷,蔡杰,袁明等,09CS1605,20090926,西藏,3313,高山栎,冷杉林林缘山坡,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232549.jpg,,,,,,,,,, +拟角萼翠雀花,Delphinium ceratophoroides,四川经济植物考察队,515,1971-9 2,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0024532.jpg,,,,,,,,,, +短角萼翠雀花,Delphinium ceratophorum var. brevicorniculatum,T.T.Yu,9598,19370812,云南省,3900,mt.grassy slope,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00934940.jpg,,,,,,,,,, +角萼翠雀花,Delphinium ceratophorum var. ceratophorum,联大,12091,19380911,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/297862.jpg,,,,,,,,,, +角萼翠雀花,Delphinium ceratophorum var. ceratophorum,秦仁昌,24032,19290823,云南省,2900,杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/297873.jpg,,,,,,,,,, +毛角萼翠雀花,Delphinium ceratophorum var. hirsutum,C.W.Wang,68340,19350800,云南省,3600,Mountain slope,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00934942.jpg,,,,,,,,,, +粗壮角萼翠雀花,Delphinium ceratophorum var. robustum,中甸队,1857,19620901,云南省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934944.jpg,,,,,,,,,, +察隅翠雀花,Delphinium chayuense,FLPH Tibet Expedition,12-1430,20120917,西藏自治区,4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966673.jpg,,,,,,,,,, +察隅翠雀花,Delphinium chayuense,青藏队,10671,19820926,西藏,4000,山坡Abies林缘草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1203905.jpg,,,,,,,,,, +白缘翠雀花,Delphinium chenii,杨竞生,8332,1976-08-,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087250.jpg,,,,,,,,,, +珠穆朗玛峰翠雀,Delphinium chumulangmaense,中日考察队,T709,19900619,西藏自治区,5300,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00500235.jpg,,,,,,,,,, +仲巴翠雀花,Delphinium chungbaense,青藏队,6677,19750806,西藏自治区,5600,岩屑坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00026971.jpg,,,,,,,,,, +鞘柄翠雀花,Delphinium coleopodum,Q.E.Yang and Q.Yuan,157,20030915,云南省,3000~4000,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01349667.jpg,,,,,,,,,, +鞘柄翠雀花,Delphinium coleopodum,联大,21327,0,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/297808.jpg,,,,,,,,,, +滇川翠雀花,Delphinium delavayi var. delavayi,陈介,913,19590102,云南省,1850,山谷乔木林下阴坡水边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/268152.jpg,,,,,,,,,, +滇川翠雀花,Delphinium delavayi var. delavayi,,1615,19820820,云南,2110,山谷半山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/756762.jpg,,,,,,,,,, +毛蕊翠雀花,Delphinium delavayi var. lasiandrum,植被组,s.n.,19810723,云南省,3750,冷杉林缘及亚高山 杂类草草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01108332.jpg,,,,,,,,,, +毛蕊翠雀花,Delphinium delavayi var. lasiandrum,丽江植物园,100705,0,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298101.jpg,,,,,,,,,, +须花翠雀花,Delphinium delavayi var. pogonanthum,D.E.Boufford et al.,43479,20130907,四川省,3750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062512.jpg,,,,,,,,,, +须花翠雀花,Delphinium delavayi var. pogonanthum,D.E.Boufford et al.,43360,20130901,云南省,3490,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062462.jpg,,,,,,,,,, +密花翠雀花,Delphinium densiflorum,郭本兆,9401,19710811,青海省,,碎石带,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467952.jpg,,,,,,,,,, +密花翠雀花,Delphinium densiflorum,齐威,LJQ-2008-GN-358,20080804,甘肃,3968,高寒灌丛草甸,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232567.jpg,,,,,,,,,, +基苞翠雀花,Delphinium dolichocentroides var. leiogynum,K.M. Feng (冯国楣),2841,19390829,四川,2900,Amongst scrub on bouldery slopes.,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1203922.jpg,,,,,,,,,, +短距翠雀花,Delphinium forrestii var. forrestii,方震东,S84,20010630,云南,3400,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008562.jpg,,,,,,,,,, +无毛茎翠雀,Delphinium glabricaule,D.E.Boufford et al.,39234,20070807,四川省,3720~4100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859742.jpg,,,,,,,,,, +冰川翠雀花,Delphinium glaciale,"李渤生,李辉,多吉次旦",13101,19900815,西藏自治区,4400~4800,高山 灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467612.jpg,,,,,,,,,, +冰川翠雀花,Delphinium glaciale,F.Miyamoto et al.,92277,19950815,,5080~5445,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901606.jpg,,,,,,,,,, +贡嘎翠雀花,Delphinium gonggaense,E.D.Boufford et al.,33152,20050719,四川省,3340~3650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01505861.jpg,,,,,,,,,, +,Delphinium grandiflorum var. gilgianum,刘继孟,1172,19570616,山西省,1100,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993503.jpg,,,,,,,,,, +,Delphinium grandiflorum var. gilgianum,胡珂,3.41E+14,20120510,安徽省,103,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981471.jpg,,,,,,,,,, +,Delphinium grandiflorum var. gilgianum,藏东南考察队,SET-ET94,20090812,云南省,2990,Under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980904.jpg,,,,,,,,,, +翠雀,Delphinium grandiflorum var. grandiflorum,秦仁昌,23669,19290815,云南省,0,杂木林内箐沟,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298596.jpg,,,,,,,,,, +翠雀,Delphinium grandiflorum var. grandiflorum,联大,11983,0,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298602.jpg,,,,,,,,,, +拉萨翠雀花,Delphinium gyalanum,PE西藏队,PE5385,20170828,西藏自治区,4019,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02309363.jpg,,,,,,,,,, +钩距翠雀花,Delphinium hamatum,Delavay,s.n.,18871014,云南省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934956.jpg,,,,,,,,,, +钩距翠雀花,Delphinium hamatum,Mesee Heude,,18880903,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00070651.jpg,,,,,,,,,, +淡紫翠雀花,Delphinium handelianum,E.H.Wilson,3089,,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087388.jpg,,,,,,,,,, +淡紫翠雀花,Delphinium handelianum,字建泽,杨六斤,李国宏,李施文,张志云,TC1042,20111025,云南,2600,路边,坡地,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232583.jpg,,,,,,,,,, +淡紫翠雀花,Delphinium handelianum,吴征镒,4099,19760805,云南省,0,路边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298553.jpg,,,,,,,,,, +,Delphinium hillcoatiae,青藏科考队,7938,19750925,西藏自治区,3600,屋顶背阴处,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934964.jpg,,,,,,,,,, +毛莨叶翠雀花,Delphinium hillcoatiae,扎西次仁,ZhongY143,20080813,西藏,3644,村边或草坡,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232584.jpg,,,,,,,,,, +毛叶翠雀花,Delphinium hirtifolium,赵清盛、牟克华、杨亚滨,6794,1978-7 2,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172104.jpg,,,,,,,,,, +,Delphinium humilius,Q.E.Yang and Q.Yuan,282,20040910,四川省,4400,scree,,无花有果,https://image.cvh.ac.cn/files/l/PE/01349984.jpg,,,,,,,,,, +,Delphinium humilius,杨竞生,8331,19760802,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00477358.jpg,,,,,,,,,, +,Delphinium kamaonense var. kamaonense,FLPH Tibet Expedition,12-0099,20120904,西藏自治区,3671,河谷灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966682.jpg,,,,,,,,,, +甘孜翠雀花,Delphinium kantzeense,崔友文,4303,19510708,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00026988.jpg,,,,,,,,,, +甘孜翠雀花,Delphinium kantzeense,邓姣姣、卫靜丽、刘常坤,LDW-38-V-059,20200921,四川,4023.32m,山坡草地,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02060727.jpg,,,,,,,,,, +昆仑翠雀花,Delphinium kunlunshanicum,青藏队,996,19870814,新疆维吾尔自治区,3000,山沟云杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500411.jpg,,,,,,,,,, +帕米尔翠雀花,Delphinium lacostei,青藏队,1465,19870905,新疆维吾尔自治区,4500,山谷砾石坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00500165.jpg,,,,,,,,,, +帕米尔翠雀花,Delphinium lacostei,邱娟,冯建菊,LiuJQ0106,20080808,新疆,4171,草滩,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232607.jpg,,,,,,,,,, +毛药翠雀花,Delphinium lasiantherum,武素功,2923,19591103,四川省,2900~3400,山沟疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500349.jpg,,,,,,,,,, +宽菱形翠雀花,Delphinium latirhombicum,滇西北金沙江队,63-6220,19630729,云南省,2900,萌生松栎幼林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00026995.jpg,,,,,,,,,, +宽菱形翠雀花,Delphinium latirhombicum,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191373,20190919,云南,3044,亚热带针阔混交林,山坡林中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484158.jpg,,,,,,,,,, +光叶翠雀花,Delphinium leiophyllum,"S. Akiyama ,H. Ikeda,武素功,吕元林,陈绍田,向建英,Yangzhen",106245,20010811,西藏自治区,4530,on grazed grassland,,,https://image.cvh.ac.cn/files/l/KUN/1295237.jpg,,,,,,,,,, +光轴翠雀花,Delphinium leiostachyum,青藏队,13215,19830821,四川省,3500,山坡高山栎灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500357.jpg,,,,,,,,,, +丽江翠雀花,Delphinium likiangense,Q.E.Yang and Q.Yuan,174,20030916,云南省,4000,rocky grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350357.jpg,,,,,,,,,, +长梗翠雀花,Delphinium longipedicellatum,覃海宁等,324,20010811,西藏自治区,3600,桦木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602551.jpg,,,,,,,,,, +金沙翠雀花,Delphinium majus,"杨亲二,袁琼",Yangqe2338,20080819,云南省,2800,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043173.jpg,,,,,,,,,, +金沙翠雀花,Delphinium majus,,23172,19570724,四川省,2550,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00477676.jpg,,,,,,,,,, +墨脱翠雀花,Delphinium medogense,生态室高原组,14711,19800902,西藏自治区,3800,林缘附近高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500258.jpg,,,,,,,,,, +小瓣翠雀花,Delphinium micropetalum,Gaoligong Shan Biodiversity Survey,28710,20050817,云南省,3650,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01659313.jpg,,,,,,,,,, +小苞木里翠雀花,Delphinium muliense var. minutibracteolatum,T.T.Yu,14371,19370925,四川省,3300,Side of mt.stream grassy place,Herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00934972.jpg,,,,,,,,,, +囊谦翠雀花,Delphinium nangchienense,Q.E.Yang and Q.Yuan,470,20050831,西藏自治区,3600,"dry grassy slope,scrub",,有花无果,https://image.cvh.ac.cn/files/l/PE/01859920.jpg,,,,,,,,,, +囊谦翠雀花,Delphinium nangchienense,Q.E.Yang and Q.Yuan,433,20050821,青海省,3600,scrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859917.jpg,,,,,,,,,, +宁朗山翠雀花,Delphinium ninglangshanicum,青藏队,14187,19830923,四川省,3800,山口 灌丛 草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00027027.jpg,,,,,,,,,, +光梗翠雀花,Delphinium obcordatilimbum,四川省植被调查队,2100,19730712,四川省,2800,生于阴湿沟边 草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935075.jpg,,,,,,,,,, +倒心形翠雀花,Delphinium obcordatilimbum,青藏队植被组,9213,19760721,西藏自治区,3850,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00027029.jpg,,,,,,,,,, +倒心形翠雀花,Delphinium obcordatilimbum,郭绍荣,,,云南省,,荒山岩石缝里杂草丛中,,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0001801.jpg,,,,,,,,,, +柔毛峨眉翠雀花,Delphinium omeiense var. pubescens,T.T.Yu,14022,19370819,四川省,2600,margin of woods near stream,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00934975.jpg,,,,,,,,,, +,Delphinium omeiense var. pubescens,T. T. Yu,14022,1937/8/19,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00109013.jpg,,,,,,,,,, +直距翠雀花,Delphinium orthocentrum,D.E.Boufford et al.,40478,20070824,四川省,3575,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859690.jpg,,,,,,,,,, +直距翠雀花,Delphinium orthocentrum,郭本兆,11931,19750808,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00183693.jpg,,,,,,,,,, +尖距翠雀花,Delphinium oxycentrum,T.T.Yu,13129,19370901,四川省,4000,alpine grassland or margin of woods,herb perennial,有花无果,https://image.cvh.ac.cn/files/l/PE/00027032.jpg,,,,,,,,,, +尖距翠雀花,Delphinium oxycentrum,赵清盛,6521,19780810,四川,5500,高山岩鏠,草本,有花无果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0000697.jpg,,,,,,,,,, +,Delphinium oxycentrum,T. T. Yu,13129,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00057569.jpg,,,,,,,,,, +狭萼粗距翠雀花,Delphinium pachycentrum var. lancisepalum,D.E.Boufford et al.,42373,20100729,四川省,4330~4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873888.jpg,,,,,,,,,, +,Delphinium pachycentrum var. pachycentrum,"Soulié, J.A.",24,1871-7,,,,,,https://image.cvh.ac.cn/files/l/P/P00198549.jpg,,,,,,,,,, +纸叶翠雀花,Delphinium pergameneum,郎楷永 李勃生 李良千,3742,19810825,云南省,3600,云冷杉 林内草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935077.jpg,,,,,,,,,, +纸叶翠雀花,Delphinium pergameneum,方震东,323,20030708,云南,,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008982.jpg,,,,,,,,,, +波密翠雀花,Delphinium pomeense,"应俊生,洪德元",650985,19650823,西藏自治区,4000,Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467580.jpg,,,,,,,,,, +,Delphinium potaninii var. bonvalotii,朱大海,3701,20070523,四川省,1400,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980892.jpg,,,,,,,,,, +,Delphinium potaninii var. bonvalotii,"高乞,陈又生",96,20060729,湖北省,1700,路旁、石头、天梯下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980888.jpg,,,,,,,,,, +宽苞黑水翠雀花,Delphinium potaninii var. latibracteolatum,汪发缵,22014,19300731,四川省,0,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00183966.jpg,,,,,,,,,, +黑水翠雀花,Delphinium potaninii var. potaninii,张挺,刘成,左政裕,姜虹,李昌洪,19CS18499,20190719,四川,2975,云杉路边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506516.jpg,,,,,,,,,, +光序拟弯距翠雀花,Delphinium pseudocampylocentrum,D.E.Boufford et al.,39442,20070810,四川省,3830,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859754.jpg,,,,,,,,,, +,Delphinium pseudocampylocentrum,"Yang, K.H.",58941,23-Aug-58,,,,,,https://image.cvh.ac.cn/files/l/E/E00438733.jpg,,,,,,,,,, +拟冰川翠雀花,Delphinium pseudoglaciale,西藏队 植被组,6052,19750902,西藏自治区,5000,流石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935084.jpg,,,,,,,,,, +翠雀属,Delphinium pseudoglaciale,西藏生物所,81,19880714,西藏,5000,高寒草地,,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001652.jpg,,,,,,,,,, +宁蒗翠雀花,Delphinium pseudohamatum,Q.E.Yang and Q.Yuan,356,20040930,四川省,3360,rocky slope on roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350503.jpg,,,,,,,,,, +宁蒗翠雀花,Delphinium pseudohamatum,田效文等,97(6),19810908,云南省,3790,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934948.jpg,,,,,,,,,, +拟美丽翠雀花,Delphinium pseudopulcherrimum,FLPH Tibet Expedition,12-0462,20120911,西藏自治区,4900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966674.jpg,,,,,,,,,, +宽萼翠雀花,Delphinium pseudopulcherrimum,陈晓澄等,6750,20140813,西藏,2923,阔叶林及针叶林下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00022247.jpg,,,,,,,,,, +普蓝翠雀花,Delphinium pulanense,FLPH Tibet Expedition,12-0279,20120907,西藏自治区,5530,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966665.jpg,,,,,,,,,, +矮翠雀花,Delphinium pumilum,Q.E.Yang and Q.Yuan,340,20040925,四川省,3800,rocky grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350241.jpg,,,,,,,,,, +矮翠雀花,Delphinium pumilum,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13973,20161018,四川,3838,山坡灌䓍丛,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1448959.jpg,,,,,,,,,, +紫苞翠雀花,Delphinium purpurascens,西藏中草药普查队,1815,19720905,西藏自治区,4700,砾石堆,,有花无果,https://image.cvh.ac.cn/files/l/PE/00048364.jpg,,,,,,,,,, +密距翠雀花,Delphinium pycnocentrum,Q.E.Yang and Q.Yuan,180,20030919,云南省,2600,scrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350404.jpg,,,,,,,,,, +,Delphinium pycnocentrum,俞德浚,23,19511006,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298882.jpg,,,,,,,,,, +青海翠雀花,Delphinium qinghaiense,郑度 郭柯,12592,19880906,青海省,4650,山坡 中部 凹地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00935092.jpg,,,,,,,,,, +青海翠雀花,Delphinium qinghaiense,秦仁昌,21413,19390901,云南省,0,on open hillside,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298035.jpg,,,,,,,,,, +壤塘翠雀花,Delphinium rangtangense,陈伟烈 陈家瑞等,7433,19840708,四川省,3300,冷云杉林,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935096.jpg,,,,,,,,,, +米林翠雀花,Delphinium sherriffii,西藏中草药普查队,4106,19720720,西藏自治区,3300~3400,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467744.jpg,,,,,,,,,, +五果翠雀花,Delphinium sinopentagynum,四川药原普查队,20572,19600813,四川省,2800,山沟 路边草丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00935097.jpg,,,,,,,,,, +五果翠雀花,Delphinium sinopentagynum,,1956/5/31,20606,四川,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM704603195.jpg,,,,,,,,,, +葡萄叶翠雀花,Delphinium sinovitifolium,何铸,周子林,13686,19520000,四川省,0,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00070664.jpg,,,,,,,,,, +,Delphinium sinovitifolium,E. H. Wilson,3088,4-Sep,,3048~4267,,,,https://image.cvh.ac.cn/files/l/HUH/A00038292.jpg,,,,,,,,,, +宝兴翠雀花,Delphinium smithianum,D.E.Boufford et al.,29186,19980725,云南省,4280~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01578532.jpg,,,,,,,,,, +宝兴翠雀花,Delphinium smithianum,Q.E.Yang and Q.Yuan,531,20051001,四川省,4250,scree,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350514.jpg,,,,,,,,,, +宝兴翠雀花,Delphinium smithianum,史国宝,6,Aug-80,青海省,3200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087506.jpg,,,,,,,,,, +川甘翠雀花,Delphinium souliei,张超,2005063,20051002,四川省,3700,草地、沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980922.jpg,,,,,,,,,, +川甘翠雀花,Delphinium souliei,白龙江考察队,1007,19980728,甘肃省,3100,山地 山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560766.jpg,,,,,,,,,, +疏花翠雀花,Delphinium sparsiflorum,吴玉虎等,4247,19860805,青海省,2800,山坡 林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01578316.jpg,,,,,,,,,, +疏花翠雀花,Delphinium sparsiflorum,,451,19730629,陕西省,2900,山谷 林下半阴,,有花无果,https://image.cvh.ac.cn/files/l/PE/01536851.jpg,,,,,,,,,, +螺距翠雀花,Delphinium spirocentrum,"杨亲二,陈又生,袁琼",55,20030820,云南省,4100,云杉林下沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350367.jpg,,,,,,,,,, +螺距翠雀花,Delphinium spirocentrum,青藏考察队,14432,19830905,四川省,,Abies林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01108393.jpg,,,,,,,,,, +匙苞翠雀花,Delphinium subspathulatum,西藏中草药普查队,1652,19720830,西藏自治区,3800,林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00027079.jpg,,,,,,,,,, +松潘翠雀花,Delphinium sutchuenense,D.E.Boufford et al.,39188,20070807,四川省,4250~4530,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859744.jpg,,,,,,,,,, +松潘翠雀花,Delphinium sutchuenense,"杨亲二,孔宏智",98004,19980717,甘肃省,2000,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467820.jpg,,,,,,,,,, +松潘翠雀花,Delphinium sutchuenense,余奇、熊先华、李琳霖,THP-KD-4024,20170811,四川,3318~3743,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242763.jpg,,,,,,,,,, +,Delphinium tabatae,"李渤生,李辉,阳艺",13676,19900911,西藏自治区,3100~3300,Quercus 林下湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467827.jpg,,,,,,,,,, +大理翠雀花,Delphinium taliense,Q.E.Yang and Q.Yuan,70,20030828,云南省,3200,cultivated in greenhouse,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350405.jpg,,,,,,,,,, +大理翠雀花,Delphinium taliense,Q.E.Yang and Q.Yuan,366,20041002,四川省,2100,slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350244.jpg,,,,,,,,,, +唐古拉翠雀花,Delphinium tangkulaense,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1268,20130815,西藏自治区,5200,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000663.jpg,,,,,,,,,, +唐古拉翠雀花,Delphinium tangkulaense,Q.E.Yang and Q.Yuan,409,20050818,青海省,4600,beside river,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350517.jpg,,,,,,,,,, +长距翠雀花,Delphinium tenii,"杨亲二,袁琼",Yangqe1879,20080718,云南省,3300,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032583.jpg,,,,,,,,,, +长距翠雀花,Delphinium tenii,D.E.Boufford et al.,29062,19980722,四川省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579045.jpg,,,,,,,,,, +,Delphinium thibeticum var. thibeticum,"Soulié, J.A.",3044,3-Jul,,,,,,https://image.cvh.ac.cn/files/l/P/P00201112.jpg,,,,,,,,,, +川西翠雀花,Delphinium tongolense,康藏植物考察队,10-2215,20100818,西藏自治区,4000~4100,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966663.jpg,,,,,,,,,, +川西翠雀花,Delphinium tongolense,C.S.Chang et al.,SI1160,20100704,四川省,1338,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900367.jpg,,,,,,,,,, +川西翠雀花,Delphinium tongolense,Q.E.Yang and Q.Yuan,193,20030924,云南省,2200~2300,in forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01349769.jpg,,,,,,,,,, +粗距毛翠雀花,Delphinium trichophorum var. platycentrum,青藏队,14258,19830924,四川省,3900,山坡 高山栎林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01108456.jpg,,,,,,,,,, +粗距毛翠雀花,Delphinium trichophorum var. platycentrum,George Forrest,30683,19310000,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500009.jpg,,,,,,,,,, +毛翠雀,Delphinium trichophorum var. trichophorum,D.E.Boufford etc.,41372,20090729,西藏自治区,3700~3900,Among coarse herbs on slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255687.jpg,,,,,,,,,, +毛翠雀花,Delphinium trichophorum var. trichophorum,张泽荣,23714,19570813,四川,3350,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298841.jpg,,,,,,,,,, +毛翠雀花(原变种),Delphinium trichophorum var. trichophorum,蔡杰,刘成,何谐,16CS11700,20160821,甘肃,3917,高山草坡灌丛,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1435382.jpg,,,,,,,,,, +浅裂翠雀花,Delphinium vestitum,"陈又生,张树仁,于胜祥等",727,20111118,西藏自治区,3285,山谷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966656.jpg,,,,,,,,,, +堆拉翠雀花,Delphinium wardii,"洪德元,王强",XZ034,20110901,西藏自治区,4300,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913279.jpg,,,,,,,,,, +,Delphinium wardii,"Kingdon-Ward, Frank",6193,16-Sep-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00438686.jpg,,,,,,,,,, +汶川翠雀花,Delphinium wenchuanense,成都生物研究所调查队,8282,19750713,四川省,2500,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00027098.jpg,,,,,,,,,, +狭序翠雀花,Delphinium wrightii,青藏队,12384,19830723,四川省,3700,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01108466.jpg,,,,,,,,,, +,Delphinium wrightii,杨声智,,19811000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1262280.jpg,,,,,,,,,, +狭序翠雀花,Delphinium wrightii,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191495,20190927,云南,4184,亚热带,高山灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486233.jpg,,,,,,,,,, +雅江翠雀花,Delphinium yajiangense,四川药源普查队,25183,19600814,四川省,3500,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00112051.jpg,,,,,,,,,, +竞生翠雀花,Delphinium yangii,杨竞生,8436,19760805,云南省,4500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00935108.jpg,,,,,,,,,, +岩瓦翠雀花,Delphinium yanwaense,郎楷永 李勃生等/Lang Kai-yung & Li Be-sheng et al.,1325,19810711,云南省,2700,阿尼北村附近 岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00027105.jpg,,,,,,,,,, +叶城翠雀花,Delphinium yechengense,"李渤生,杜泽泉,张百平",11428,19870905,新疆维吾尔自治区,4600,山口南坡砾石河滩中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01344745.jpg,,,,,,,,,, +中甸翠雀花,Delphinium yuanum,D.E.Boufford et al.,28550,19980711,四川省,3040~3100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01578926.jpg,,,,,,,,,, +中甸翠雀花,Delphinium yuanum,Q.E.Yang and Q.Yuan,36,20030816,云南省,2500,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350370.jpg,,,,,,,,,, +中甸翠雀,Delphinium yuanum,杨亲二,袁琼,YangQE1879,20080718,云南,3300,林下,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232662.jpg,,,,,,,,,, +玉龙山翠雀花,Delphinium yulungshanicum,包成章,63-20455,19630910,云南,3700,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1203980.jpg,,,,,,,,,, +云南翠雀花,Delphinium yunnanense,"税玉良,陈文红等",65029,20060824,云南省,2050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980942.jpg,,,,,,,,,, +云南翠雀花,Delphinium yunnanense,"冯正波,朱大海,李小杰",20070526,20070517,四川省,1500,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980936.jpg,,,,,,,,,, +束花石斛,Dendrobium chrysanthum,,28,19730819,广西壮族自治区,510,阴湿石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997806.jpg,,,,,,,,,, +束花石斛,Dendrobium chrysanthum,Yu Shengxiang,541,20101116,云南省,1100,under evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01914668.jpg,,,,,,,,,, +束花石斛,Dendrobium chrysanthum,金效华,355,20000800,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820827.jpg,,,,,,,,,, +兜唇石斛,Dendrobium cucullatum,陈伯毅,王金英,WJY0568,20190522,福建,43~201.3,栽植,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0007722.jpg,,,,,,,,,, +迭鞘石斛,Dendrobium denneanum,刘仲健,8448,20150804,云南省,1474,野外生长于树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228675.jpg,,,,,,,,,, +迭鞘石斛,Dendrobium denneanum,"明兴加,李博然",SH0801013,20150801,四川省,1364,开放式栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228610.jpg,,,,,,,,,, +迭鞘石斛,Dendrobium denneanum,刘仲健,8464,20150804,海南省,,野生于树干上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228538.jpg,,,,,,,,,, +密花石斛,Dendrobium densiflorum,HK kadoorie PT,710,20010500,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01997732.jpg,,,,,,,,,, +密花石斛,Dendrobium densiflorum,青藏队植被组,3066,19740903,西藏自治区,800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01485438.jpg,,,,,,,,,, +密花石斛,Dendrobium densiflorum,陈念劬,43524,19320817,海南省,,乔木上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00851176.jpg,,,,,,,,,, +齿瓣石斛,Dendrobium devonianum,刘仲健,6581,20121127,云南省,1450,生于树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228696.jpg,,,,,,,,,, +流苏石斛,Dendrobium fimbriatum,刘仲健,6929,20121229,云南省,1345,生于树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228700.jpg,,,,,,,,,, +流苏石斛,Dendrobium fimbriatum,刘仲健,8465,20150804,广西壮族自治区,83,生于树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228690.jpg,,,,,,,,,, +细叶石斛,Dendrobium hancockii,"谭士贤,刘正宇等",5269,19840512,重庆市,980,岩边 岩石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517162.jpg,,,,,,,,,, +细叶石斛,Dendrobium hancockii,红水河植物考察队,1287,19890517,广西壮族自治区,1000,公路旁沟谷潮湿密林,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850721.jpg,,,,,,,,,, +细叶石斛,Dendrobium hancockii,王启无,87145,19400513,云南省,700,oak forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00293750.jpg,,,,,,,,,, +金耳石斛,Dendrobium hookerianum,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T213,20160915,西藏自治区,1524,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233100.jpg,,,,,,,,,, +金耳石斛,Dendrobium hookerianum,金效华,9102,20070727,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825140.jpg,,,,,,,,,, +长距石斛,Dendrobium longicornu,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T266,20160917,西藏自治区,1594,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233076.jpg,,,,,,,,,, +长距石斛,Dendrobium longicornu,HK kadoorie PT,3364,20020427,云南省,1500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097877.jpg,,,,,,,,,, +长距石斛,Dendrobium longicornu,P.J.Chau K.C.Luo Y.B. et al,ASBK291,19970429,广西壮族自治区,1220,On th top of limestone hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997748.jpg,,,,,,,,,, +细茎石斛,Dendrobium moniliforme,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T149,20160914,西藏自治区,3176,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233061.jpg,,,,,,,,,, +细茎石斛,Dendrobium moniliforme,HK kadoorie PT,3416,20020428,云南省,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097624.jpg,,,,,,,,,, +细茎石斛,Dendrobium moniliforme,李耀亭,s.n.,20110622,安徽省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089690.jpg,,,,,,,,,, +藏南石斛,Dendrobium monticola,"李渤生,李辉",13178,19900828,西藏自治区,2200,林间岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01507015.jpg,,,,,,,,,, +藏南石斛,Dendrobium monticola,刘演、许为斌,194,20060915,广西壮族自治区,750,石灰岩山坡阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00223321.jpg,,,,,,,,,, +藏南石斛,Dendrobium monticola,朱鑫鑫;王君;王美华;林庶;许敏;多吉;尼玛顿珠,ZXX201405,20200801,西藏,2573,岩壁上,附生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508689.jpg,,,,,,,,,, +石斛,Dendrobium nobile,刘仲健,6517,20121119,云南省,1450,生于树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228694.jpg,,,,,,,,,, +石斛,Dendrobium nobile,"明兴加,李博然",SH0830080,20150830,贵州省,408,开放式栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228626.jpg,,,,,,,,,, +石斛,Dendrobium nobile,"明兴加,李博然",SH0801012,20150801,四川省,1117,开放式栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228609.jpg,,,,,,,,,, +,Dendrobium pendulum,金效华,8064,20060305,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825154.jpg,,,,,,,,,, +,Dendrobium pendulum,金效华,8064,20060305,云南,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825154.jpg,,,,,,,,,, +竹枝石斛,Dendrobium salaccense,HK kadoorie PT,770,20010600,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01997741.jpg,,,,,,,,,, +竹枝石斛,Dendrobium salaccense,,8206,19350000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01634207.jpg,,,,,,,,,, +竹枝石斛,Dendrobium salaccense,吉占和,91-0014,19910703,云南省,650,林中,岩石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00851223.jpg,,,,,,,,,, +福贡龙竹,Dendrocalamus fugongensis,薛纪如,864,19741210,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644597.jpg,,,,,,,,,, +福贡龙竹,Dendrocalamus fugongensis,王四海,唐春云,余奇,Wangsh-07ZX-057,20131111,云南,1196,农地边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1438344.jpg,,,,,,,,,, +西藏龙竹,Dendrocalamus tibeticus,"李渤生,程树志",2731,19830204,西藏自治区,1100~850,半常绿雨林中常见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644564.jpg,,,,,,,,,, +,Dendrolobium triangulare,赖其瑞,78541,19870703,广西壮族自治区,,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01996868.jpg,,,,,,,,,, +,Dendrolobium triangulare,刘恩德等,323,20030925,云南省,1700,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01958273.jpg,,,,,,,,,, +,Dendrolobium triangulare,Shih-Wen Chung,10150,20101102,台湾省,300~400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923786.jpg,,,,,,,,,, +缅甸树参,Dendropanax burmanicus,Taam.Y.W.,1744,,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0069041.jpg,,,,,,,,,, +缅甸树参,Dendropanax burmanicus,董洪进,王泽欢等,860,20121222,云南省,1670,river bank,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1228305.jpg,,,,,,,,,, +缅甸树参,Dendropanax burmanicus,孙航,周浙昆等,2737,19921227,西藏自治区,1600,,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0446366.jpg,,,,,,,,,, +五蕊寄生,Dendrophthoe pentandra,Xiaohua Jin,15191,20150401,云南省,,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044288.jpg,,,,,,,,,, +五蕊寄生,Dendrophthoe pentandra,覃海宁等,713,19980416,广西壮族自治区,500,山坡山地路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01985613.jpg,,,,,,,,,, +五蕊寄生,Dendrophthoe pentandra,"张寿洲,李良千等",255,20050418,广东省,100~200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809490.jpg,,,,,,,,,, +疣枝寄生藤,Dendrotrophe granulata,青藏队,8015,19820717,云南省,1700~1800,山坡 常绿阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062686.jpg,,,,,,,,,, +疣枝寄生藤,Dendrotrophe granulata,青藏队,74-4387,19740820,西藏自治区,1100,山坡阔叶林中 寄生树上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00890062.jpg,,,,,,,,,, +边荚鱼藤,Derris marginata,刘伟心,167,19570407,云南省,750,江边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00463468.jpg,,,,,,,,,, +边荚鱼藤,Derris marginata,"伊万诺夫,吴征镒",317855,19510000,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00303229.jpg,,,,,,,,,, +边荚鱼藤,Derris marginata,H.H.Chung,3312,19250611,福建省,500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00303227.jpg,,,,,,,,,, +粗茎鱼藤,Derris scabricaulis,中苏调查团,6311,19550517,云南省,1370,疏林中斜坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090269.jpg,,,,,,,,,, +粗茎鱼藤,Derris scabricaulis,"李渤生,程树志",4911,19830529,西藏自治区,900,次生丛林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00303260.jpg,,,,,,,,,, +发草,Deschampsia cespitosa subsp. cespitosa,亚吉东,张桥蓉,胡枭剑,阿热爱,17CS16509,20170713,新疆,1616,河滩金矿生态恢复区,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1434506.jpg,,,,,,,,,, +播娘蒿,Descurainia sophia,石雷 林秦文,2011012,20110415,北京市,81,公路边荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112337.jpg,,,,,,,,,, +播娘蒿,Descurainia sophia,"川西队,关克俭,王文采等",890,19630721,四川省,3500,高原林边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092418.jpg,,,,,,,,,, +播娘蒿,Descurainia sophia,Hang Sun et al.,17038,20140507,,1831,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062211.jpg,,,,,,,,,, +,Descurainia sophioides,易思荣,谭秋平,YiSR263,20100907,西藏,3670,林缘草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235656.jpg,,,,,,,,,, +腺毛播娘蒿,Descurainia sophioides,J.E.Cantlon & W.M.Malcolm,58-0029,19580626,,500,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00331352.jpg,,,,,,,,,, +藏北扇叶芥,Desideria baiogoinensis,陶德定,10819,19760805,西藏自治区,4700~4900,高山河漫滩,公路边,沙堆中,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0497549.jpg,,,,,,,,,, +长毛扇叶芥,Desideria flabellata,武素功,费勇等,4641,19890709,新疆维吾尔自治区 ,3900,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0497543.jpg,,,,,,,,,, +长毛扇叶芥,Desideria flabellata,吴玉虎,4641,19890709,新疆维吾尔自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/153781.jpg,,,,,,,,,, +须弥扇叶芥,Desideria himalayensis,青藏队,8652,19760815,西藏自治区,5300,高山流石坡,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0497536.jpg,,,,,,,,,, +须弥扇叶芥,Desideria himalayensis,"武素功,黄荣福,杨永平",K-890,19900727,青海省,4850,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/165050.jpg,,,,,,,,,, +须弥扇叶芥,Desideria himalayensis,魏来、郝加琛,15522,20150801,西藏,4600~4800,路边,草本,,https://image.cvh.ac.cn/files/l/BNU/0026029.jpg,,,,,,,,,, +线果扇叶芥,Desideria linearis,青藏队,76-7948,19760706,西藏自治区,5200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/60224.jpg,,,,,,,,,, +丛生扇叶芥,Desideria prolifera,青藏队,1253,19730825,西藏自治区,5100,山坡流石滩,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0497553.jpg,,,,,,,,,, +丛生扇叶芥,Desideria prolifera,玛沁队,470,19740802,青海省,4750,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/42005.jpg,,,,,,,,,, +丛生扇叶芥,Desideria prolifera,张挺、郭永杰、姜虹,16CS13657,20160830,四川,4476,岩石上,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1481014.jpg,,,,,,,,,, +,Desmodium callianthum,罗建等,LuoJian-XZ-0908,20090613,西藏自治区,2543,林缘山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925816.jpg,,,,,,,,,, +,Desmodium callianthum,G.Forrest,12737,19140700,云南省,2667,open dry situations amongst scrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820435.jpg,,,,,,,,,, +盐源山蚂蝗,Desmodium elegans var. handelii,"俞绍文,张启泰",485,19810607,云南省,3000,高山松林下,,,https://image.cvh.ac.cn/files/l/KUN/1292755.jpg,,,,,,,,,, +盐源山蚂蝗,Desmodium elegans var. handelii,普格队,,19790627,四川,,阴湿灌丛中,亚灌木,有花有果,https://image.cvh.ac.cn/files/l/SM/SM707202395.jpg,,,,,,,,,, +盐源山蚂蝗,Desmodium elegans var. handelii,王啟无,83772,19390806,云南,,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2009323.jpg,,,,,,,,,, +大叶山蚂蝗,Desmodium gangeticum,华南队,695,19890512,广西壮族自治区,600,山地,山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996762.jpg,,,,,,,,,, +大叶山蚂蝗,Desmodium gangeticum,红水河植物考察队,1843,19890527,云南省,800,松至栎林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996757.jpg,,,,,,,,,, +,Desmodium griffithianum,刘恩德等,170,20030730,云南省,2300,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920485.jpg,,,,,,,,,, +,Desmodium griffithianum,禹平华,557,19570823,贵州省,1300,水沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00303961.jpg,,,,,,,,,, +,Desmodium griffithianum,,4580,19590809,四川省,1900,荒山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00303958.jpg,,,,,,,,,, +,Desmodium heterocarpon var. heterocarpon,彭华等,H-滇云龙-Z4668,20101025,云南省,2643,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1204517.jpg,,,,,,,,,, +假地豆,Desmodium heterocarpon var. heterocarpon,2020年芦头实习采集队,LT137,20200925,湖南,130,路边,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI074401.jpg,,,,,,,,,, +假地豆,Desmodium heterocarpon var. heterocarpon,李健玲、袁泉、刘志荣,GPS181001023,20181001,广西,,路旁,草地,黄壤,披散草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI074832.jpg,,,,,,,,,, +滇南山蚂蝗(原变种),Desmodium megaphyllum var. megaphyllum,宋鼎;刘敏;魏定名;杨龙斌;李双斌;张桥蓉,CN053,20190218,云南,1695,针叶和阔叶混生林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1550293.jpg,,,,,,,,,, +小叶三点金草,Desmodium microphyllum,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",736,20021107,云南省,2430,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111849.jpg,,,,,,,,,, +小叶三点金草,Desmodium microphyllum,"朱相云,杨永,潘勃",20050268,20050804,四川省,2020,山坡路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01969501.jpg,,,,,,,,,, +,Desmodium multiflorum,刘正宇,180863,20070929,重庆市,185,林缘灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840653.jpg,,,,,,,,,, +,Desmodium multiflorum,J.Wen,7389,20031105,,1375,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579284.jpg,,,,,,,,,, +,Desmodium multiflorum,深圳考察队,440,19961100,广东省,450,road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01449426.jpg,,,,,,,,,, +,Desmodium sequax,"刘金鉴,田景全",256,19631015,四川省,600,山谷路旁灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091658.jpg,,,,,,,,,, +,Desmodium sequax,"H.Li,S.X.Yang,R.Li etc.",298,20020815,云南省,2550,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090131.jpg,,,,,,,,,, +,Desmodium sequax,Ming-Jer Jung,3572,20081009,台湾省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983755.jpg,,,,,,,,,, +,Desmodium stenophyllum,滇西北金沙江队,63-6633,19630822,云南省,2300,常绿栎林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00463618.jpg,,,,,,,,,, +,Desmodium stenophyllum,"陈伟烈,陈家瑞,郭柯,闰建平",6065,19840609,四川省,2200,干旱河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00463617.jpg,,,,,,,,,, +,Desmodium stenophyllum,,2074,19740805,西藏自治区,3200,灌木高山栎林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00412668.jpg,,,,,,,,,, +,Desmodium williamsii,"张经炜,王金亭",441,19660619,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00055211.jpg,,,,,,,,,, +会泽山蚂蝗,Desmodium williamsii,徐国荣,23093,19800908,四川省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0182666.jpg,,,,,,,,,, +,Desmodium yunnanense,M.Iabbe Delavay,s.n.,18880710,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922639.jpg,,,,,,,,,, +,Desmodium yunnanense,青藏队,14394,19830925,四川省,2000,河谷支沟灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00463625.jpg,,,,,,,,,, +,Deutzia bomiensis,"吴征镒,陈书坤,卢树林",75-1055,19750719,西藏自治区,2700~2800,铁杉林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/00863544.jpg,,,,,,,,,, +波密溲疏,Deutzia bomiensis,魏来 何毅,BNUXZ2016515,20160731,西藏,3500,山泊林下,,,https://image.cvh.ac.cn/files/l/BNU/0027953.jpg,,,,,,,,,, +旱生溲疏,Deutzia calycosa var. xerophyta,邱柄云,53467,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0287983.jpg,,,,,,,,,, +旱生溲疏,Deutzia calycosa var. xerophyta,邱柄云,51794,19560508,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0287995.jpg,,,,,,,,,, +密序溲疏,Deutzia compacta,PE西藏考察队,7201,20180612,西藏自治区,3045~3398,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332078.jpg,,,,,,,,,, +密序溲疏,Deutzia compacta,T.T.Yu,19087,19370614,云南省,2800,Among thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00864509.jpg,,,,,,,,,, +异色溲疏,Deutzia discolor,张寿洲等,969,20130926,四川省,,土生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01990510.jpg,,,,,,,,,, +异色溲疏,Deutzia discolor,George Forrest,2095,19060500,西藏自治区,3333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01975956.jpg,,,,,,,,,, +异色溲疏,Deutzia discolor,,1017,19600709,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01975884.jpg,,,,,,,,,, +,Deutzia glomeruliflora var. lichiangensis,T.T.Yu,5971,19370609,四川省,3100,Among thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00864520.jpg,,,,,,,,,, +,Deutzia glomeruliflora var. lichiangensis,王启无,70553,19350700,云南省,2700,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00864519.jpg,,,,,,,,,, +维西溲疏,Deutzia monbeigii,"李文华,胡勇",81-103,19810604,云南省,3480,高山栎林附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/01975723.jpg,,,,,,,,,, +维西溲疏,Deutzia monbeigii,金佛山考察队,770,19960530,重庆市,1550,途中路边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01975722.jpg,,,,,,,,,, +维西溲疏,Deutzia monbeigii,,43,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01975720.jpg,,,,,,,,,, +紫花溲疏,Deutzia purpurascens,"唐宇丹,林秦文",2010-074,20100916,西藏自治区,2995,南北向沟谷 瀑布边 沙土与腐殖土混,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036562.jpg,,,,,,,,,, +紫花溲疏,Deutzia purpurascens,H.T.Tsai,56002,19330903,云南省,2600,in ravine,,有花无果,https://image.cvh.ac.cn/files/l/PE/01975708.jpg,,,,,,,,,, +紫花溲疏,Deutzia purpurascens,H.H.Ching,2223,19190828,福建省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01975702.jpg,,,,,,,,,, +灌丛溲疏,Deutzia rehderiana,George Forrest,9904,19130500,西藏自治区,2000~2133,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01666116.jpg,,,,,,,,,, +灌丛溲疏,Deutzia rehderiana,George Forrest,11540,19130000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01666117.jpg,,,,,,,,,, +灌丛溲疏,Deutzia rehderiana,,2383,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00763137.jpg,,,,,,,,,, +粉红溲疏,Deutzia rubens,北京所横断山队,1149,19810626,云南省,3000,铁杉林内常见灌木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044676.jpg,,,,,,,,,, +粉红溲疏,Deutzia rubens,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",412,20130422,四川省,1624,路旁潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994003.jpg,,,,,,,,,, +粉红溲疏,Deutzia rubens,59176部队,2168,19760609,湖北省,1400,"林丛,阴湿处",,无花无果,https://image.cvh.ac.cn/files/l/PE/00863700.jpg,,,,,,,,,, +川溲疏,Deutzia setchuenensis,巴山采集队,3731,20100731,四川省,1825,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066318.jpg,,,,,,,,,, +川溲疏,Deutzia setchuenensis,"曹子余,王忠涛",274,19950726,贵州省,700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01982716.jpg,,,,,,,,,, +长柱溲疏,Deutzia staminea,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T115,20160914,西藏自治区,3176,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233336.jpg,,,,,,,,,, +长柱溲疏,Deutzia staminea,J.I.Jeon et al.,SI1564,20100813,四川省,2217,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900355.jpg,,,,,,,,,, +长柱溲疏,Deutzia staminea,巴山采集队,2546,20080726,重庆市,1870,山谷杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851537.jpg,,,,,,,,,, +钻齿溲疏,Deutzia subulata,青藏队,6243,19620506,云南省,2000,山坡云南松林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01975659.jpg,,,,,,,,,, +钻齿溲疏,Deutzia subulata,张冶明,132,19641006,北京市,,栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839165.jpg,,,,,,,,,, +钻齿溲疏,Deutzia subulata,T.T.Yu,7251,19370705,四川省,2500,in forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01109842.jpg,,,,,,,,,, +不育野青茅,Deyeuxia abnormis,谭策铭、易桂花、程林,91136,20091023,江西省,1380,山顶草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00057629.jpg,,,,,,,,,, +,Deyeuxia abnormis,林业部调查设计局综合调查队,2002-14,1955,四川,,,,有花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00040774.jpg,,,,,,,,,, +,Deyeuxia anthoxanthoides,,s.n.,,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01726751.jpg,,,,,,,,,, +,Deyeuxia anthoxanthoides,Ju.Gusev et S.Ikonnikov,4770,19580818,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01726750.jpg,,,,,,,,,, +高原野青茅,Deyeuxia compacta,青藏队,7125,19750730,西藏自治区,4500,江边 草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01726854.jpg,,,,,,,,,, +密穗野青茅,Deyeuxia conferta,,209,19990000,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01787097.jpg,,,,,,,,,, +密穗野青茅,Deyeuxia conferta,赵佐成,88-1942,19880818,重庆市,1800,山坡 路边 湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01321163.jpg,,,,,,,,,, +密穗野青茅,Deyeuxia conferta,周洪富,22640,1957-07-,四川省,2910,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0105045.jpg,,,,,,,,,, +散穗野青茅,Deyeuxia diffusa,Liu Yanchun,639,20101024,云南省,2799,on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089480.jpg,,,,,,,,,, +散穗野青茅,Deyeuxia diffusa,PE西藏队,PE6322,20170911,西藏自治区,2445,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891321.jpg,,,,,,,,,, +散穗野青茅,Deyeuxia diffusa,简焯坡等,31346,19630820,贵州省,1900,山顶 潮湿地 灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01727025.jpg,,,,,,,,,, +疏穗野青茅,Deyeuxia effusiflora,关克俭等,3388,19630912,四川省,900,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01727057.jpg,,,,,,,,,, +疏穗野青茅,Deyeuxia effusiflora,川滇黔接壤分队,484,19650711,云南省,2180,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01726879.jpg,,,,,,,,,, +柔弱野青茅,Deyeuxia flaccida,"R.J.Soreng,P.M.Peterson & Sun Hang",5272,19970909,云南省,2980,Substrait igneous,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487532.jpg,,,,,,,,,, +柔弱野青茅,Deyeuxia flaccida,李小杰,LiXJ255,20121113,四川,487,路边荒地,草本,,https://image.cvh.ac.cn/files/l/KUN/1400946.jpg,,,,,,,,,, +柔弱野青茅,Deyeuxia flaccida,李小杰,CSH06140,20140814,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0036445.jpg,,,,,,,,,, +黄花野青茅,Deyeuxia flavens,"汤宗孝,田效文,孙庆国",754,19820816,四川省,4200,高山草甸草场,山间平原,,有花有果,https://image.cvh.ac.cn/files/l/PE/01854547.jpg,,,,,,,,,, +黄花野青茅,Deyeuxia flavens,北京所横断山队,3293,19810818,云南省,4200~4300,高山 灌丛 草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01727342.jpg,,,,,,,,,, +箱根野青茅,Deyeuxia hakonensis,"简焯坡,张秀实等",30742,19630820,贵州省,2300,山顶 灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01319036.jpg,,,,,,,,,, +箱根野青茅,Deyeuxia hakonensis,江西调查队,1006,19540907,江西省,1800,南山坡阳处山顶草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00449930.jpg,,,,,,,,,, +喜马拉雅野青茅,Deyeuxia himalaica,,11014,19750816,四川省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01727288.jpg,,,,,,,,,, +喜马拉雅野青茅,Deyeuxia himalaica,李渤生等,146,19820816,西藏自治区,3800,高山 灌丛下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01727287.jpg,,,,,,,,,, +喜马拉雅野青茅,Deyeuxia himalaica,刘恩德,5822,20020819,云南省,3200,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/KUN/796928.jpg,,,,,,,,,, +青藏野青茅,Deyeuxia holciformis,李渤生等,11260,19870824,新疆维吾尔自治区,4100,河滩草甸中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929354.jpg,,,,,,,,,, +青藏野青茅,Deyeuxia holciformis,陶德定,10673,19760729,西藏自治区,,沙,砾草地,沙堆上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01726840.jpg,,,,,,,,,, +青藏野青茅,Deyeuxia holciformis,钟补求,7396,19530811,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01726838.jpg,,,,,,,,,, +青海野青茅,Deyeuxia kokonorica,刘尚武,483,19650821,青海省,3850,河滩砂地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076625.jpg,,,,,,,,,, +青海野青茅,Deyeuxia kokonorica,Harry Smith,12013,19340910,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856947.jpg,,,,,,,,,, +欧野青茅,Deyeuxia lapponica,王正平等,289,,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01854501.jpg,,,,,,,,,, +欧野青茅,Deyeuxia lapponica,T.P.Wang,5785,19360819,甘肃省,3700,On weedy summit,,无花有果,https://image.cvh.ac.cn/files/l/PE/01854502.jpg,,,,,,,,,, +瘦野青茅,Deyeuxia macilenta,柴达木盆地调查队,120,19550714,青海省,,盐沼,,有花有果,https://image.cvh.ac.cn/files/l/PE/01726830.jpg,,,,,,,,,, +瘦野青茅,Deyeuxia macilenta,,1355,19640802,甘肃省,1500,沙丘附近低地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01726831.jpg,,,,,,,,,, +瘦野青茅,Deyeuxia macilenta,李安仁等,8970,19580930,新疆维吾尔自治区,1100,盐碱地土荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01726829.jpg,,,,,,,,,, +,Deyeuxia mazzettii,刘艳春,522,20101017,云南省,3210,on slope,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221467.jpg,,,,,,,,,, +会理野青茅,Deyeuxia mazzettii,,13866,19760805,四川省,3200,灌丛草甸,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00013007.jpg,,,,,,,,,, +会理野青茅,Deyeuxia mazzettii,刘艳春,LYC675,20110920,湖南,981,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0024510.jpg,,,,,,,,,, +宝兴野青茅,Deyeuxia moupinensis,,8794,19750819,四川省,2600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01854497.jpg,,,,,,,,,, +宝兴野青茅,Deyeuxia moupinensis,青藏队,10242,19820909,西藏自治区,3900~4100,山边 草边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01727028.jpg,,,,,,,,,, +宝兴野青茅,Deyeuxia moupinensis,王启无,67258,19351000,云南省,2500,"Grassy slope,Ravine",,无花有果,https://image.cvh.ac.cn/files/l/PE/01727026.jpg,,,,,,,,,, +小花野青茅,Deyeuxia neglecta,赤峰采集队,2-092,20080728,内蒙古自治区,1720,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02012002.jpg,,,,,,,,,, +小花野青茅,Deyeuxia neglecta,叶培忠,1711,19770628,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854577.jpg,,,,,,,,,, +顶芒野青茅,Deyeuxia nepalensis,张昌兵,邓秀发,ZhangCB0373,20110922,四川,3427,撂荒地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400949.jpg,,,,,,,,,, +顶芒野青茅,Deyeuxia nepalensis,王启无,67258,193510,云南省,2500,"Grassy slope,Ravine",,有果无花,https://image.cvh.ac.cn/files/l/KUN/321943.jpg,,,,,,,,,, +微药野青茅,Deyeuxia nivicola,青藏队,10691,19820926,西藏自治区,4300,山坡 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01726832.jpg,,,,,,,,,, +微药野青茅,Deyeuxia nivicola,郭柯,K-124,19900713,青海省,4770,高寒草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469132.jpg,,,,,,,,,, +微药野青茅,Deyeuxia nivicola,王启无,68498,1935,云南省,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/321944.jpg,,,,,,,,,, +林芝野青茅,Deyeuxia nyingchiensis,易同培,79061,19790804,西藏自治区,3600,生于路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01854519.jpg,,,,,,,,,, +林芝野青茅,Deyeuxia nyingchiensis,王启无,66498,193509,四川省,3500,Bare Rocks,,有果无花,https://image.cvh.ac.cn/files/l/KUN/321936.jpg,,,,,,,,,, +,Deyeuxia petelotii,刘艳春等,127,20070804,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221316.jpg,,,,,,,,,, +异颖草,Deyeuxia petelotii,税玉民,陈文红等,72106,20070826,云南,2000,石灰岩山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400409.jpg,,,,,,,,,, +,Deyeuxia petelotii,金效华、王利松、刘恩德、张钢民,237,20020917,四川省,,,,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0197658.jpg,,,,,,,,,, +川藏野青茅,Deyeuxia pulchella var. laxa,赵清盛,1478,19890725,四川省,3400,草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01727379.jpg,,,,,,,,,, +川藏野青茅,Deyeuxia pulchella var. laxa,李渤生等,1221,19821011,西藏自治区,3400,冷杉林缘石边常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01727185.jpg,,,,,,,,,, +,Deyeuxia purpurea,杨光辉,58803,19580715,重庆市,2600,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01727267.jpg,,,,,,,,,, +,Deyeuxia purpurea,马赛,15228,19590714,山西省,,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01727265.jpg,,,,,,,,,, +,Deyeuxia purpurea,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01727266.jpg,,,,,,,,,, +,Deyeuxia pyramidalis,"尹志坚,董洪进,向春雷",917,20090710,云南省,1900,"Roadsides, forest margins",,有花有果,https://image.cvh.ac.cn/files/l/PE/02089472.jpg,,,,,,,,,, +,Deyeuxia pyramidalis,巴山采集队,3581,20100725,四川省,591,林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066146.jpg,,,,,,,,,, +,Deyeuxia pyramidalis,云台山采集队,89,20080921,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022974.jpg,,,,,,,,,, +玫红野青茅,Deyeuxia rosea,傅国勋,848,19600717,西藏自治区,3900,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01727354.jpg,,,,,,,,,, +玫红野青茅,Deyeuxia rosea,川大,23769,19570815,四川省,4200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01727353.jpg,,,,,,,,,, +糙野青茅,Deyeuxia scabrescens,"H.Li,S.X.Yang,R.Li etc.",1082,20021110,云南省,2570,林(中)下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109912.jpg,,,,,,,,,, +糙野青茅,Deyeuxia scabrescens,Wang Yun,347,20100811,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089269.jpg,,,,,,,,,, +华高野青茅,Deyeuxia sinelatior,陈彦生、吴振海、黎斌、郭晓思等,4057,2005/10/19,陕西省,1500,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0499645.jpg,,,,,,,,,, +华高野青茅,Deyeuxia sinelatior,陈彦生、吴振海、黎斌、郭晓思等,3300,2005/9/14,重庆市,1700,,直立草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0495974.jpg,,,,,,,,,, +天山野青茅,Deyeuxia tianschanica,"郭柯,郑度",12834,19900905,新疆维吾尔自治区,3750,沼泽边草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048091.jpg,,,,,,,,,, +天山野青茅,Deyeuxia tianschanica,郭本兆,3442,19560816,甘肃省,,河滩湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01726827.jpg,,,,,,,,,, +天山野青茅,Deyeuxia tianschanica,V.Lukanenkova,4769,19580629,,3350,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01726828.jpg,,,,,,,,,, +,Deyeuxia yanyuanensis,田,108,19810915,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487403.jpg,,,,,,,,,, +藏西野青茅,Deyeuxia zangxiensis,青藏队,76-8610,19830813,西藏自治区,4250,噶尔河滩草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856962.jpg,,,,,,,,,, +藏西野青茅,Deyeuxia zangxiensis,钟补求,7391,19530810,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01726839.jpg,,,,,,,,,, +藏西野青茅,Deyeuxia zangxiensis,郭本兆,3478,19560819,甘肃省,3200,,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00520377.jpg,,,,,,,,,, +山菅,Dianella ensifolia,覃海宁 于胜祥 刘博 叶建飞 黄云峰,19505,20080423,广西壮族自治区,167,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112356.jpg,,,,,,,,,, +山菅,Dianella ensifolia,"王印政,彭华,邓德山,邓云飞,税玉民,朱大海",4641,19981024,云南省,1350,山地,山谷,石山,密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02098092.jpg,,,,,,,,,, +山菅,Dianella ensifolia,PE-BO Team(Zhang X-C etc.),57,20131205,,1100~1300,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039202.jpg,,,,,,,,,, +遂裂石竹,Dianthus orientalis,生物研究所西藏考察队,3840,19740807,西藏自治区,4000,高阶地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00582850.jpg,,,,,,,,,, +遂裂石竹,Dianthus orientalis,,724,19560800,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00582849.jpg,,,,,,,,,, +遂裂石竹,Dianthus orientalis,无,1730,19570816,新疆维吾尔自治区 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0512263.jpg,,,,,,,,,, +瞿麦,Dianthus superbus,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",41013,20090724,西藏自治区,3535,open areas and forested slope edge of slope in sun or shade,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109035.jpg,,,,,,,,,, +瞿麦,Dianthus superbus,山西队,537,19540719,山西省,2270,山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067560.jpg,,,,,,,,,, +瞿麦,Dianthus superbus,"关克俭,王文采等",1806,19630822,四川省,2980,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062278.jpg,,,,,,,,,, +喜马拉雅岩梅,Diapensia himalaica,"李渤生,程树志",1147,19821007,西藏自治区,,高山灌丛草甸中局部优势山顶凹出部位,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077759.jpg,,,,,,,,,, +喜马拉雅岩梅,Diapensia himalaica,俞德俊,19350,19370711,云南省,4000~4100,高山风吹沼地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00267498.jpg,,,,,,,,,, +红花岩梅,Diapensia purpurea,孙航等,15078,20100530,四川省,4439,上坡上,里边山坡中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920540.jpg,,,,,,,,,, +红花岩梅,Diapensia purpurea,北京新横断山队,3530,19810823,云南省,4130~4300,高山公路灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01845062.jpg,,,,,,,,,, +西藏岩梅,Diapensia wardii,青藏队,74-3820,19740731,西藏自治区,3200,山坡杜鹃灌从下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00052883.jpg,,,,,,,,,, +西藏岩梅,Diapensia wardii,王启无,67284,19351000,云南省,3500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00069559.jpg,,,,,,,,,, +荷包牡丹,Dicentra spectabilis,T.Tang,,19260507,北京市,,cultivated,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231389.jpg,,,,,,,,,, +荷包牡丹,Dicentra spectabilis,黄河队,4450,19560602,甘肃省,,潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081706.jpg,,,,,,,,,, +荷包牡丹,Dicentra spectabilis,C.S.Chang et al.,17,20040416,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579129.jpg,,,,,,,,,, +双花草,Dichanthium annulatum,"刘世慧,刘朝光,李玉琴",1213,20090315,台湾省,40,河滨草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088681.jpg,,,,,,,,,, +双花草,Dichanthium annulatum,,2305,19431003,重庆市,250,中性紫色土,,有花有果,https://image.cvh.ac.cn/files/l/PE/01600038.jpg,,,,,,,,,, +双花草,Dichanthium annulatum,"王印政,彭华,邓德山等",4510,19981022,云南省,520,山地 田间 山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01554286.jpg,,,,,,,,,, +小花人字果,Dichocarpum franchetii,北京植物所横断山队,48,19810526,云南省,2900,铁杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046850.jpg,,,,,,,,,, +小花人字果,Dichocarpum franchetii,"万涛,周世良等",1357,20140321,四川省,,山谷 密林,,无花无果,https://image.cvh.ac.cn/files/l/PE/02021534.jpg,,,,,,,,,, +小花人字果,Dichocarpum franchetii,红水河植物考察队,360,19890423,广西壮族自治区,,阔叶林下润湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01986270.jpg,,,,,,,,,, +牛筋条,Dichotomanthes tristaniicarpa,"Zhang Yonghong,Chen Guangfu,Chen Linyang,Gong Qian",KC-0057,20130511,云南省,1300~2500,"Mixed forest, evergreen forest margins, slopes",,,https://image.cvh.ac.cn/files/l/KUN/1274872.jpg,,,,,,,,,, +常山,Dichroa febrifuga,"朱大海,王永,尚涛",2213,20031007,四川省,700,山坡下部林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114758.jpg,,,,,,,,,, +常山,Dichroa febrifuga,川黔队,359,19560529,重庆市,780,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083189.jpg,,,,,,,,,, +,Dichroa yunnanensis,刘成、何华杰、黄莉、杨忠兰,14CS8546,20141109,云南,1248,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1321125.jpg,,,,,,,,,, +云南常山,Dichroa yunnanensis,青藏队,8894,19820805,云南省,1600,山坡常绿阔叶林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0580182.jpg,,,,,,,,,, +小鱼眼草,Dichrocephala benthamii,"朱大海,苏小镔,王斌等",143,20020413,四川省,700,山脚田埂,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115823.jpg,,,,,,,,,, +小鱼眼草,Dichrocephala benthamii,红水河植物考察队,2114,19890613,云南省,2200,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997338.jpg,,,,,,,,,, +菊叶金鱼草,Dichrocephala chrysanthemifolia,"Jin Xh,Wang LS,Wang Q et al.",ST2179,20130805,云南省,2000~3400,apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02002230.jpg,,,,,,,,,, +菊叶金鱼草,Dichrocephala chrysanthemifolia,黄向旭等,10403,20110620,广东省,,山地 路旁 山谷 灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01315983.jpg,,,,,,,,,, +菊叶金鱼草,Dichrocephala chrysanthemifolia,青藏队,2435,19740913,西藏自治区,2900,路边草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00301329.jpg,,,,,,,,,, +,Dichrocephala integrifolia,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T285,20160918,西藏自治区,891,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233441.jpg,,,,,,,,,, +,Dichrocephala integrifolia,"刘正宇,张军等",RQHZ06211,20141103,四川省,747,草丛黄壤荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115333.jpg,,,,,,,,,, +,Dichrocephala integrifolia,"刘正宇,张军等",RQHZ06442,20140926,重庆市,824,黄壤 荒地 草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115305.jpg,,,,,,,,,, +马蹄芹,Dickinsia hydrocotyloides,236 四川任务组,571,19710731,四川省,2200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084858.jpg,,,,,,,,,, +马蹄芹,Dickinsia hydrocotyloides,SiShang Tan,193,19830620,重庆市,,路边草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947311.jpg,,,,,,,,,, +马蹄芹,Dickinsia hydrocotyloides,刘林翰,9035,19580622,湖南省,1500,山谷水旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01575576.jpg,,,,,,,,,, +狗肝菜,Dicliptera chinensis,华南队,1713,19890919,广西壮族自治区,250,山地、山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011368.jpg,,,,,,,,,, +狗肝菜,Dicliptera chinensis,Ching-I Peng,6433,19840304,台湾省,150~250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01884599.jpg,,,,,,,,,, +狗肝菜,Dicliptera chinensis,黔南队,156,19590401,贵州省,500,山坡草地阳处平原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882221.jpg,,,,,,,,,, +优雅狗肝菜,Dicliptera elegans,赵佐成,1232,19930927,四川省,1400,沟边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882247.jpg,,,,,,,,,, +优雅狗肝菜,Dicliptera elegans,,3224,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01545516.jpg,,,,,,,,,, +优雅狗肝菜,Dicliptera elegans,,7579,19150810,云南省 ,0~2000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0558852.jpg,,,,,,,,,, +苣叶秃疮花,Dicranostigma lactucoides,"倪志诚,次多.次旦,廖世荣",2092,19810908,西藏自治区,3900,山坡碎石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050747.jpg,,,,,,,,,, +苣叶秃疮花,Dicranostigma lactucoides,向春雷,1262,20150913,四川省,2800,河谷,路边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264000.jpg,,,,,,,,,, +秃疮花,Dicranostigma leptopodum,PE西藏考察队,7058,20180609,西藏自治区,3777,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332775.jpg,,,,,,,,,, +秃疮花,Dicranostigma leptopodum,田效文,936,19830606,四川省,2250,耕地岩边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057129.jpg,,,,,,,,,, +秃疮花,Dicranostigma leptopodum,,1277,19600000,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057127.jpg,,,,,,,,,, +,Dicranostigma platycarpum,"陈又生,张树仁,于胜祥等",42,20111012,西藏自治区,3713,沙砾坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000489.jpg,,,,,,,,,, +,Dicranostigma platycarpum,K.M.Feng,9198,19420829,云南省,3300,沟边 岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01041752.jpg,,,,,,,,,, +宽果秃疮花,Dicranostigma platycarpum,生物所,9298,1975-07-,四川省,3600,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0131985.jpg,,,,,,,,,, +白鲜,Dictamnus dasycarpus,通化组,745,19590920,吉林省,,杂木林,,无花无果,https://image.cvh.ac.cn/files/l/PE/02248512.jpg,,,,,,,,,, +白鲜,Dictamnus dasycarpus,,497,19590000,新疆维吾尔自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02248513.jpg,,,,,,,,,, +网籽草,Dictyospermum conspicuum,"S.K.Wu,L.H.Liu,Y.M.Shui et al.",3346,19951031,云南省,1300~840,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237499.jpg,,,,,,,,,, +网籽草,Dictyospermum conspicuum,"陈玉峰,于胜祥",8149,20100822,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237495.jpg,,,,,,,,,, +网籽草,Dictyospermum conspicuum,采集组,655,19860804,湖南省,1000,水中,湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02237491.jpg,,,,,,,,,, +大叶锣,Didissandra sesquifolia,236 四川任务组,341,19710720,四川省,800,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01805624.jpg,,,,,,,,,, +大叶锣,Didissandra sesquifolia,K.S.Hao,Hao.4096,19320818,陕西省,1500,under rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/00140865.jpg,,,,,,,,,, +大叶锣,Didissandra sesquifolia,K.M.Liou,3068,19340727,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00140829.jpg,,,,,,,,,, +腺萼长蒴苣苔,Didymocarpus adenocalyx,刘伦辉,s.n.,19780404,云南省,2000,阔叶林中石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00141278.jpg,,,,,,,,,, +互叶长蒴苣苔,Didymocarpus aromaticus,西藏队植被组,4848,19750628,西藏自治区,2350~2560,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077186.jpg,,,,,,,,,, +互叶长蒴苣苔,Didymocarpus aromaticus,Y.Omori N.Acharya K.Fujikawa et al,9920016,19990803,,2550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01619405.jpg,,,,,,,,,, +墨脱长蒴苣苔,Didymocarpus medogensis,刘方谱,lfp2017011,20170901,云南省,2102,山谷林下阴湿石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115705.jpg,,,,,,,,,, +墨脱长蒴苣苔,Didymocarpus medogensis,陈伟烈/Chen W.L.,10777,19800629,西藏自治区,1600,路边,草,有花有果,https://image.cvh.ac.cn/files/l/PE/00141319.jpg,,,,,,,,,, +,Didymocarpus medogensis,"Chen, W.L.",10777,29-Jun-80,,,,,,https://image.cvh.ac.cn/files/l/E/E00087540.jpg,,,,,,,,,, +藏南长蒴苣苔,Didymocarpus primulifolius,西藏中草药普查队,119,19720604,西藏自治区,3000,石缝阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00141331.jpg,,,,,,,,,, +藏南长蒴苣苔,Didymocarpus primulifolius,H.Hara H.Kanai,3008,19670623,Shemma,0,On rocks,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0207222.jpg,,,,,,,,,, +美丽长蒴苣苔,Didymocarpus pulcher,青藏队补点组,751646,19750826,西藏自治区,2600,路边林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00141345.jpg,,,,,,,,,, +长毛长蒴苣苔,Didymocarpus villosus,青藏队,6010A,19750627,西藏自治区,2100~2700,石壁上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00154129.jpg,,,,,,,,,, +长毛长蒴苣苔,Didymocarpus villosus,H.Ohba T.Kikuchi,8570147,19850705,Shemma,0,On mossy rock in forest.,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0207306.jpg,,,,,,,,,, +云南长蒴苣苔,Didymocarpus yunnanensis,刘方谱,lfp2016011,20160716,云南省,2500,林下石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115670.jpg,,,,,,,,,, +云南长蒴苣苔,Didymocarpus yunnanensis,李鹏伟,LPW2012028,20120913,四川省,1900,山间小路边石壁上,附近有一小溪,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909897.jpg,,,,,,,,,, +珠峰长蒴苣苔,Didymocarpus zhufengensis,珠峰考察队,448,19590622,西藏自治区,2810,阴湿之岩石壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030764.jpg,,,,,,,,,, +,Digitaria ciliaris var. chrysoblephara,"石硕,梁文达",SZ4131,20141002,河北省,613,山坡、路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031966.jpg,,,,,,,,,, +,Digitaria ciliaris var. chrysoblephara,R.J.Soreng et al.,5174,19970829,北京市,250~90,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246621.jpg,,,,,,,,,, +,Digitaria ciliaris var. chrysoblephara,武考队,246,19790814,福建省,700,路旁草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246613.jpg,,,,,,,,,, +十字马唐,Digitaria cruciata,尹志坚等,2405,20090917,云南省,2850,alpine meadow,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089380.jpg,,,,,,,,,, +十字马唐,Digitaria cruciata,李渤生等,839,19820912,西藏自治区,2000,河滩沙地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805511.jpg,,,,,,,,,, +十字马唐,Digitaria cruciata,安明先,3837,20030918,贵州省,840,荒地农地杂草,,无花无果,https://image.cvh.ac.cn/files/l/PE/01787087.jpg,,,,,,,,,, +纤维马唐,Digitaria fibrosa,汤宗孝,381,19810615,云南省,2400,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01607065.jpg,,,,,,,,,, +横断山马唐,Digitaria hengduanensis,滇西北金沙江队,63-6847,19630913,云南省,1200,沙滩,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00039121.jpg,,,,,,,,,, +横断山马唐,Digitaria hengduanensis,青藏队,5209,19810831,四川省,2600,河谷山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/357006.jpg,,,,,,,,,, +止血马唐,Digitaria ischaemum,陈全胜,CF-0010-283,20170827,内蒙古自治区,1074,河滩草甸,平坦开阔,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246900.jpg,,,,,,,,,, +止血马唐,Digitaria ischaemum,周口店考察队,181,20080927,北京市,140,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112059.jpg,,,,,,,,,, +止血马唐,Digitaria ischaemum,黄河队,8176,19560819,陕西省,,涧地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094287.jpg,,,,,,,,,, +长花马唐,Digitaria longiflora,"覃海宁,王印政,闫丽春等",719,19980416,广西壮族自治区,500,山地、河边,水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981215.jpg,,,,,,,,,, +长花马唐,Digitaria longiflora,F.R.Fosberg et al.,50937,19681231,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01664529.jpg,,,,,,,,,, +长花马唐,Digitaria longiflora,农田杂草调查组,51,19700520,海南省,,花生 玉米地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01606162.jpg,,,,,,,,,, +马唐,Digitaria sanguinalis,卧佛寺调查队,196,19550829,北京市,,草地 多石地 路旁 阳处 河滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093417.jpg,,,,,,,,,, +马唐,Digitaria sanguinalis,彭镜毅,6322,19831216,台湾省,1700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089444.jpg,,,,,,,,,, +马唐,Digitaria sanguinalis,"Loy R.Phillippe,Richard L.Larimore & John E.Ebinge",40990,20080819,,223,open riparian vegetation along Pine Creek,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089217.jpg,,,,,,,,,, +海南马唐,Digitaria setigera,S.Y.Hu & Paul But,23450,20000818,香港,,"A large crabgrass,one plant makes 8 sets of specimen,growing at the site of a former hut.",,无花无果,https://image.cvh.ac.cn/files/l/PE/01950818.jpg,,,,,,,,,, +海南马唐,Digitaria setigera,梁慧舟,1488,19990919,台湾省,200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855653.jpg,,,,,,,,,, +海南马唐,Digitaria setigera,杨明江,578,19571200,云南省,725,山谷密林中潮湿灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246609.jpg,,,,,,,,,, +昆仑马唐,Digitaria stewartiana,"李安仁,朱家楠",8731,19580911,新疆维吾尔自治区,,农田,,有花有果,https://image.cvh.ac.cn/files/l/PE/00469181.jpg,,,,,,,,,, +昆仑马唐,Digitaria stewartiana,陈德昭,960,1957-07-,广西壮族自治区,200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0105741.jpg,,,,,,,,,, +昆仑马唐,Digitaria stewartiana,段士民,王习勇等,ZhangDY273,20080826,新疆,1140,农田边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401090.jpg,,,,,,,,,, +,Digitaria stricta var. stricta,Liu Yanchun,494,20101001,云南省,1858,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088673.jpg,,,,,,,,,, +三数马唐,Digitaria ternata,川黔队,1418,19560902,贵州省,1100,山坡 阳处 草地 灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049047.jpg,,,,,,,,,, +三数马唐,Digitaria ternata,"王印政,彭华,邓德山等",4924,19981026,云南省,1280,山地 山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486419.jpg,,,,,,,,,, +三数马唐,Digitaria ternata,R.J.Soreng et al.,5726,19971019,四川省,1250,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246558.jpg,,,,,,,,,, +紫马唐,Digitaria violascens,Liu Yanchun,592,20101020,云南省,2336,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088674.jpg,,,,,,,,,, +紫马唐,Digitaria violascens,川黔队,916,19560814,贵州省,900,丘陵 阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049074.jpg,,,,,,,,,, +紫马唐,Digitaria violascens,S.T.Blake,320,19321112,,,in Melaleuca forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039230.jpg,,,,,,,,,, +无苞双脊荠,Dilophia ebracteata,郭柯,K-162,19900730,青海省,4980,间歇性河水冲积地 河岸一级阶地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01469000.jpg,,,,,,,,,, +无苞双脊荠,Dilophia ebracteata,"李渤生,杜泽泉,张百平",11421,19870905,新疆维吾尔自治区,4770,山口湿地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01344857.jpg,,,,,,,,,, +无苞双脊荠,Dilophia ebracteata,"李渤生,郑度",10983,19870812,西藏自治区,5330,河滩 泥地优势物,,有花无果,https://image.cvh.ac.cn/files/l/PE/01344854.jpg,,,,,,,,,, +盐泽双脊荠,Dilophia salsa,八一农学院,s.n.,198107,新疆维吾尔自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998156.jpg,,,,,,,,,, +盐泽双脊荠,Dilophia salsa,农大,58,19760719,西藏自治区,4800,旱生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995424.jpg,,,,,,,,,, +盐泽双脊荠,Dilophia salsa,"李世英,王庆瑞,黄大乐",69,19550623,青海省,2740,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01552141.jpg,,,,,,,,,, +三列飞蛾藤,Dinetus duclouxii,伊廷双,伊-10617,20070913,四川,,村路边,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1382330.jpg,,,,,,,,,, +三列飞蛾藤,Dinetus duclouxii,罗成瑜,ALSZY256,20101111,云南,,无,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1382332.jpg,,,,,,,,,, +三列飞蛾藤,Dinetus duclouxii,K.M. Feng,11424,1947/8/24,,1400,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0195244.jpg,,,,,,,,,, +参薯,Dioscorea alata,白水江考察队,1910,20060712,甘肃省,1200,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01359575.jpg,,,,,,,,,, +参薯,Dioscorea alata,,2982,19191008,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01027188.jpg,,,,,,,,,, +参薯,Dioscorea alata,,356,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00153342.jpg,,,,,,,,,, +蜀葵叶薯蓣,Dioscorea althaeoides,C.W.Wang,68064,19350800,云南省,3200,mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079165.jpg,,,,,,,,,, +蜀葵叶薯蓣,Dioscorea althaeoides,万涛等,FSB-767,20130709,四川省,,沿路,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994110.jpg,,,,,,,,,, +蜀葵叶薯蓣,Dioscorea althaeoides,罗仲春,1405,19960613,湖南省,450,石灰岩山地石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01013943.jpg,,,,,,,,,, +丽叶薯蓣,Dioscorea aspersa,张志松,6377,19600720,贵州省,1050,山坡灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01013940.jpg,,,,,,,,,, +丽叶薯蓣,Dioscorea aspersa,C.W.Wang,83707,19390922,云南省,1350,dense woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/00153435.jpg,,,,,,,,,, +尖头果薯蓣,Dioscorea bicolor,刘慎谔,21602,19461015,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0629470.jpg,,,,,,,,,, +尖头果薯蓣,Dioscorea bicolor,张志松、张永田,6766,19600708,贵州省,0~1200,,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0629472.jpg,,,,,,,,,, +异叶薯蓣,Dioscorea biformifolia,南水北调队,8074,19600403,云南省,980,山坡阳处什木林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00033820.jpg,,,,,,,,,, +异叶薯蓣,Dioscorea biformifolia,丁志遵 宋国杰等,197,19631219,云南省 ,1150,山沟北坡草丛中,藤本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00567534.jpg,,,,,,,,,, +独龙薯蓣,Dioscorea birmanica,刘怡涛,646,19881029,云南省,0,路边,,,https://image.cvh.ac.cn/files/l/KUN/1268697.jpg,,,,,,,,,, +黄独,Dioscorea bulbifera,PE西藏考察队,7815,20180625,西藏自治区,2627,林缘灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332173.jpg,,,,,,,,,, +黄独,Dioscorea bulbifera,Jin Xiaohua,14823,20140823,重庆市,,forest peat quarry meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233096.jpg,,,,,,,,,, +黄独,Dioscorea bulbifera,C.W.Wang,76234,19360600,云南省,1500,in woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230502.jpg,,,,,,,,,, +叉蕊薯蓣,Dioscorea collettii,C. M. Wang & C. Y. Li,W05133,20010728,台湾省,1650,"On roadside of mixed coniferous-broadleaf forest, exposed site.",,有花无果,https://image.cvh.ac.cn/files/l/PE/02089746.jpg,,,,,,,,,, +叉蕊薯蓣,Dioscorea collettii,巴山采集队,5135,20110702,四川省,1200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01872614.jpg,,,,,,,,,, +吕宋薯蓣,Dioscorea cumingii,T.Y.A.Yang et al.,14744,20020410,台湾省,5,"Roadside,forest margin.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01950424.jpg,,,,,,,,,, +吕宋薯蓣,Dioscorea cumingii,"T.Y.A. Yang,C.H. Chu",8036,19970424,台湾,50,Beside the bridge,,,https://image.cvh.ac.cn/files/l/KUN/1285202.jpg,,,,,,,,,, +,Dioscorea cumingii,蔡希陶,61352,0,云南省 ,0,,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0361927.jpg,,,,,,,,,, +多毛叶薯蓣,Dioscorea decipiens,C. W. Wang,77573,19360800,云南省,1000,in thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088744.jpg,,,,,,,,,, +三角叶薯蓣,Dioscorea deltoidea,,1649,19830807,四川省,3750,路旁灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02307999.jpg,,,,,,,,,, +三角叶薯蓣,Dioscorea deltoidea,泛喜马拉雅植物志巴基斯坦采集队,1836,20120916,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02005582.jpg,,,,,,,,,, +粘山药,Dioscorea hemsleyi,汤宗孝,377,19820714,四川省,2950,石质山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02308000.jpg,,,,,,,,,, +粘山药,Dioscorea hemsleyi,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",281,20020815,云南省,2500,山坡次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088514.jpg,,,,,,,,,, +粘山药,Dioscorea hemsleyi,广西队,3599,19530911,广西壮族自治区,,山斜坡、草地阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/02018221.jpg,,,,,,,,,, +白薯莨,Dioscorea hispida,C.W.Wang,77963,19360900,云南省,1300,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079157.jpg,,,,,,,,,, +白薯莨,Dioscorea hispida,广西队,139,19550522,广西壮族自治区,,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018335.jpg,,,,,,,,,, +白薯莨,Dioscorea hispida,M.Bourell,2183,19840607,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00174413.jpg,,,,,,,,,, +毛芋头薯蓣,Dioscorea kamoonensis,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",750,20021107,云南省,2430,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088805.jpg,,,,,,,,,, +毛芋头薯蓣,Dioscorea kamoonensis,北京队,897078,19890912,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02018299.jpg,,,,,,,,,, +毛芋头薯蓣,Dioscorea kamoonensis,邓云飞等,11287,19970924,湖南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01595691.jpg,,,,,,,,,, +柔毛薯蓣,Dioscorea martini,川经凉(59)字,5780,19590823,四川省,1900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01013919.jpg,,,,,,,,,, +柔毛薯蓣,Dioscorea martini,,989,,湖南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0630318.jpg,,,,,,,,,, +黑珠芽薯蓣,Dioscorea melanophyma,"王印政,彭华,邓德山,邓云飞,税玉民,朱大海",4208,19981018,云南省,1700,山地,山坡,石山,,无花有果,https://image.cvh.ac.cn/files/l/PE/02098833.jpg,,,,,,,,,, +黑珠芽薯蓣,Dioscorea melanophyma,J. I. Jeon et al.,SI1246,20100809,四川省,1438,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896588.jpg,,,,,,,,,, +黑珠芽薯蓣,Dioscorea melanophyma,王功范,1-1007,20041109,贵州省,750,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790421.jpg,,,,,,,,,, +南腊薯蓣,Dioscorea nanlaensis,青藏队,9131,19820809,云南省,1400,山坡,常绿阔叶林中,藤本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0362650.jpg,,,,,,,,,, +穿龙薯蓣,Dioscorea nipponica,"喻勋林,徐永福,黄娟",80208,20080819,湖北省,1100,路旁崖壁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089925.jpg,,,,,,,,,, +穿龙薯蓣,Dioscorea nipponica,老铁山采集队,333,20080710,辽宁省,,灌草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089628.jpg,,,,,,,,,, +穿龙薯蓣,Dioscorea nipponica,李才贵,252,19840829,山西省,1570,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081498.jpg,,,,,,,,,, +光亮薯蓣,Dioscorea nitens,,10287C,,云南省,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01026536.jpg,,,,,,,,,, +光亮薯蓣,Dioscorea nitens,T.T.Yu,14046,19370820,四川省,2600,upon amongthickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/01026530.jpg,,,,,,,,,, +黄山药,Dioscorea panthaica,植物地理调查队,411,19780707,重庆市,1700,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01273323.jpg,,,,,,,,,, +黄山药,Dioscorea panthaica,T.N.Liou,5782,19321025,,1706,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01027041.jpg,,,,,,,,,, +黄山药,Dioscorea panthaica,K.M.Feng,10466,19461005,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01027038.jpg,,,,,,,,,, +小花盾叶薯蓣,Dioscorea parviflora,R.C.Ching,21634,19390916,云南省,,On open thickets plant,,无花有果,https://image.cvh.ac.cn/files/l/PE/01027044.jpg,,,,,,,,,, +小花盾叶薯蓣,Dioscorea parviflora,李恒,93,19851020,四川省,1200,山坡,灌丛中,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0362930.jpg,,,,,,,,,, +小花盾叶薯蓣,Dioscorea parviflora,丁志遵 方长生等,100,19631111,云南省 ,2200,山沟杂木林内,藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00551626.jpg,,,,,,,,,, +五叶薯蓣,Dioscorea pentaphylla,C. W. Wang,78161,19360900,云南省,1415,in woods,,无花无果,https://image.cvh.ac.cn/files/l/PE/02088741.jpg,,,,,,,,,, +五叶薯蓣,Dioscorea pentaphylla,236 四川任务组,799,19710828,四川省,1600,林中树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087329.jpg,,,,,,,,,, +五叶薯蓣,Dioscorea pentaphylla,广西队,3344,19530609,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018219.jpg,,,,,,,,,, +褐苞薯蓣,Dioscorea persimilis,北京队,896291,19890906,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02018304.jpg,,,,,,,,,, +褐苞薯蓣,Dioscorea persimilis,H.Ohashi et al.,5115,,海南省,370~380,climbing on shrub at edge of evergreen forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850345.jpg,,,,,,,,,, +褐苞薯蓣,Dioscorea persimilis,刘淼等,A140024,20060813,安徽省,400,生于灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01798267.jpg,,,,,,,,,, +薯蓣,Dioscorea polystachya,刘恩德等,228,20030928,云南省,1700,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920742.jpg,,,,,,,,,, +薯蓣,Dioscorea polystachya,Ruoxun Wei,20,20120730,贵州省,1417,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01897137.jpg,,,,,,,,,, +毛胶薯蓣,Dioscorea subcalva,"H.Li,S.X.Yang,R.Li etc.",2,20020809,云南省,2550,次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109586.jpg,,,,,,,,,, +毛胶薯蓣,Dioscorea subcalva,北京队,897024,19890911,广西壮族自治区,950,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02018305.jpg,,,,,,,,,, +毛胶薯蓣,Dioscorea subcalva,谭仕兴,510,20050625,贵州省,1000,林缘草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01790452.jpg,,,,,,,,,, +毡毛薯蓣,Dioscorea velutipes,邱炳云,52731,19561006,云南省,1700,干燥山坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01027363.jpg,,,,,,,,,, +毡毛薯蓣,Dioscorea velutipes,Y.Tsiang,6131,19300730,贵州省,500,In light shade,,无花有果,https://image.cvh.ac.cn/files/l/PE/01027359.jpg,,,,,,,,,, +云南薯蓣,Dioscorea yunnanensis,B.Bartholomew et al.,1737,19860928,贵州省,1100~1400,climbing in thicket,,无花有果,https://image.cvh.ac.cn/files/l/PE/01027367.jpg,,,,,,,,,, +云南薯蓣,Dioscorea yunnanensis,A.Henry,9288A,,云南省,1567,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01027364.jpg,,,,,,,,,, +云南薯蓣,Dioscorea yunnanensis,A.Henry,9288A,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0631011.jpg,,,,,,,,,, +岩柿,Diospyros dumetorum,,,19730800,广西壮族自治区,700,石灰岩山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01997002.jpg,,,,,,,,,, +岩柿,Diospyros dumetorum,尹文清,849,19570428,云南省,1600,村中河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01974780.jpg,,,,,,,,,, +岩柿,Diospyros dumetorum,武素功,2315,19590726,四川省,2000,山坡阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01974772.jpg,,,,,,,,,, +柿,Diospyros kaki,川黔队,433,19560605,重庆市,820,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083173.jpg,,,,,,,,,, +柿,Diospyros kaki,中苏队,9682,19570424,云南省,1700,山谷阴处疏林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079647.jpg,,,,,,,,,, +柿,Diospyros kaki,北京队,894834,19890604,广西壮族自治区,1100,林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01996961.jpg,,,,,,,,,, +君迁子,Diospyros lotus,"刘彬彬,刘广宁",3992,20180728,北京市,,"In the valley,on the slopes of broadleaved deciduous forest",,无花有果,https://image.cvh.ac.cn/files/l/PE/02234036.jpg,,,,,,,,,, +君迁子,Diospyros lotus,"D.E.Boufford,C.Y.Xi,T.S.Ying etc.",26353,19940531,河南省,1150~950,forest on slopes and ridges at edge of stream,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115583.jpg,,,,,,,,,, +君迁子,Diospyros lotus,"朱大海,苏小镔,梁红英",737,20020727,四川省,650,山脚林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115579.jpg,,,,,,,,,, +,Diospyros variegata,青藏队,4345,19740819,西藏自治区,1000,山坡阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00769422.jpg,,,,,,,,,, +,Diospyros variegata,"张挺, 蔡杰, 刘成, 郭永杰, 吴之坤",13CS7925,20131106,云南,,金沙江边农田埂,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395561.jpg,,,,,,,,,, +优美双盾木,Dipelta elegans,"王兰州,L.H.",97311,19970820,甘肃省,900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892148.jpg,,,,,,,,,, +优美双盾木,Dipelta elegans,"郎楷永,李良千,费勇",1677,19830608,四川省,2400,山坡沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01212283.jpg,,,,,,,,,, +云南双盾木,Dipelta yunnanensis,"Chen Zhiduan,Feng Min,Ma Xintang,Wang Meilin",960025,19960512,重庆市,1510,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115519.jpg,,,,,,,,,, +云南双盾木,Dipelta yunnanensis,"朱大海,耿玉英,汪楣芝等",361,20020523,四川省,1840,山谷河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114851.jpg,,,,,,,,,, +云南双盾木,Dipelta yunnanensis,"董洪进,王泽欢,尹志坚",WM-0299,20160503,云南省,1500,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091360.jpg,,,,,,,,,, +十齿花,Dipentodon sinicus,覃海宁等,3132,20020418,广西壮族自治区,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028487.jpg,,,,,,,,,, +十齿花,Dipentodon sinicus,"Jin Xh,Wang LS,Wang Q et al.",ST1515,20130730,云南省,,apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01978604.jpg,,,,,,,,,, +十齿花,Dipentodon sinicus,"简焯坡,党忠成等",50540,19650617,贵州省,1060,山坡路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01296770.jpg,,,,,,,,,, +长苞尖药兰,Diphylax contigua,"Jin Xh,Wang LS,Wang Q et al.",ST1717,20130802,云南省,2700~3700,conifer forest to apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02002582.jpg,,,,,,,,,, +长苞尖药兰,Diphylax contigua,李剑武,2101,20120927,云南,2100,苔藓常绿阔叶林下树杆上,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027970.jpg,,,,,,,,,, +西南尖药兰,Diphylax uniformis,Xiaohua Jin et Zhanghai Li,16585,20150816,云南省,3000,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233113.jpg,,,,,,,,,, +西南尖药兰,Diphylax uniformis,South Tibet Exp.Team (Jin Xiaohua etc.),SET-ET867,20090827,西藏自治区,3807,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033017.jpg,,,,,,,,,, +尖药兰,Diphylax urceolata,Luo Yi-bo,722,20010904,四川省,3200,索道站至观景台山沟石壁苔藓丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526957.jpg,,,,,,,,,, +尖药兰,Diphylax urceolata,金效华,6734,20041100,云南省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517662.jpg,,,,,,,,,, +尖药兰,Diphylax urceolata,,s.n.,19831006,西藏自治区,2600~2700,铁杉林下偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376986.jpg,,,,,,,,,, +南方山荷叶,Diphylleia sinensis,杨金祥,597,19590620,陕西省,3250,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231381.jpg,,,,,,,,,, +南方山荷叶,Diphylleia sinensis,Chen Zhiduan et al.,960855,19960529,重庆市,2400,"mesic,near the top of hill the forest",,有花无果,https://image.cvh.ac.cn/files/l/PE/01815928.jpg,,,,,,,,,, +多花杉叶杜,Diplarche multiflora,G.Forrest,25527,19240000,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055238.jpg,,,,,,,,,, +多花杉叶杜,Diplarche multiflora,王启无,69605,19350900,云南省,3500,山坡石缝,,无花有果,https://image.cvh.ac.cn/files/l/PE/00195211.jpg,,,,,,,,,, +少花杉叶杜,Diplarche pauciflora,"郎楷永,李良千,费勇",296,19820629,四川省,3250,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02106801.jpg,,,,,,,,,, +少花杉叶杜,Diplarche pauciflora,北京所横断山队,3594,19810824,云南省,4150~4300,高山 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538127.jpg,,,,,,,,,, +少花杉叶杜,Diplarche pauciflora,,2359,19740904,西藏自治区,3700,高山灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/00438710.jpg,,,,,,,,,, +,Diplazoptilon cooperi,青藏队,74-2338,19740912,西藏自治区,4100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235342.jpg,,,,,,,,,, +重羽菊,Diplazoptilon picridifolium,C.W.Wang,65965,19350800,西藏自治区,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235355.jpg,,,,,,,,,, +重羽菊,Diplazoptilon picridifolium,C.W.Wang,68313,19350800,云南省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235353.jpg,,,,,,,,,, +藏榄,Diploknema butyracea,杨增宏,张启泰,85-0834,19850925,云南省,1000,路边常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/774263.jpg,,,,,,,,,, +合柱兰,Diplomeris pulchella,Xiaohua Jin et Zhanghai Li,16584,20150816,云南省,1200~800,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233120.jpg,,,,,,,,,, +合柱兰,Diplomeris pulchella,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T302,20160919,西藏自治区,786,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233050.jpg,,,,,,,,,, +合柱兰,Diplomeris pulchella,刘正宇,183085,20080725,四川省,850,溪边水湿岩壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989843.jpg,,,,,,,,,, +蛇头荠,Dipoma iberideum,北京所横断山队,1975,19810725,云南省,3900~4300,高山 流石坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109476.jpg,,,,,,,,,, +蛇头荠,Dipoma iberideum,武素功,2271,19590717,四川省,4300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01052171.jpg,,,,,,,,,, +,Dipsacus asper,"李渤生,程树志",880,19820914,西藏自治区,2100,路边灌丛中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231941.jpg,,,,,,,,,, +,Dipsacus asper,"党成忠,党平",582,19860913,贵州省,1350,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231940.jpg,,,,,,,,,, +,Dipsacus asper,C.W.Wang,66851,19351000,云南省,2300,ravine,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231938.jpg,,,,,,,,,, +,Dipsacus atratus,青藏队补点组,751885,19750910,西藏自治区,3600,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01164674.jpg,,,,,,,,,, +大头续断,Dipsacus chinensis,PE西藏队,PE6860,20170917,西藏自治区,3971,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332079.jpg,,,,,,,,,, +大头续断,Dipsacus chinensis,徐洪贵,6843,19910923,四川省,900,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231956.jpg,,,,,,,,,, +大头续断,Dipsacus chinensis,李丙贵,139,19550716,江西省,1450,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0498960.jpg,,,,,,,,,, +劲直续断,Dipsacus inermis,"Li Zhenyu,Jin Xiaohua,Tu Yanli etc.",T078,20160912,西藏自治区,2900,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233424.jpg,,,,,,,,,, +劲直续断,Dipsacus inermis,"田效文,汤宗孝,张正华",824,19810807,云南省,3150,亚高山草甸草场,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591116.jpg,,,,,,,,,, +劲直续断,Dipsacus inermis,T.T.Yu,14517,19371013,四川省,3340,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591106.jpg,,,,,,,,,, +日本续断,Dipsacus japonicus,谭策铭,95920,19951030,江西省,720,山谷林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233512.jpg,,,,,,,,,, +日本续断,Dipsacus japonicus,赵佐成,3693,19931018,四川省,2300,林边草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231951.jpg,,,,,,,,,, +日本续断,Dipsacus japonicus,吴玉虎等,3846,19860801,青海省,,路边河边田边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231946.jpg,,,,,,,,,, +金钱槭,Dipteronia sinensis,张彩飞,2697,20110602,湖南省,1400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247362.jpg,,,,,,,,,, +金钱槭,Dipteronia sinensis,黔南队,2420,19590630,贵州省,,坡向南 密林中 沟底 南坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229857.jpg,,,,,,,,,, +金钱槭,Dipteronia sinensis,S.Y.Hu,1483,19390700,四川省,1829,on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100831.jpg,,,,,,,,,, +假□1包叶,Discocleidion rufescens,董佩萱,59,19630416,湖北省,100,河边沙土沟边岩缝中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239894.jpg,,,,,,,,,, +假□1包叶,Discocleidion rufescens,"张树仁,陈淑荣,朗校安等",1780,20140612,四川省,1117,山坡 林下 沙土,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021623.jpg,,,,,,,,,, +假□1包叶,Discocleidion rufescens,简焯坡等,30031,19630803,贵州省,620,岩石旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932513.jpg,,,,,,,,,, +散斑竹根七,Disporopsis aspersa,林秦文,2013-189,20130601,云南省,1750~2300,峡谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02065574.jpg,,,,,,,,,, +散斑竹根七,Disporopsis aspersa,湘西调查队,312,19530727,湖南省,,山背 山腰 密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01582581.jpg,,,,,,,,,, +长蕊万寿竹,Disporum bodinieri,"Li Heng,Yang Shixiong,Lei Ligong etc.",1494,20030416,云南省,2490,常绿阔叶林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109566.jpg,,,,,,,,,, +长蕊万寿竹,Disporum bodinieri,"杨红梅,朗校安等",1576,20140422,四川省,1600~1900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021804.jpg,,,,,,,,,, +长蕊万寿竹,Disporum bodinieri,白水江采集队,3320,20070421,甘肃省,2000~870,竹园沟沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823325.jpg,,,,,,,,,, +距花万寿竹,Disporum calcaratum,"Cribb.P.J, Chau.K.C.,Luo.Y.B. et al.",ASBK201,19970427,广西壮族自治区,280,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017710.jpg,,,,,,,,,, +距花万寿竹,Disporum calcaratum,L.Q.Li et al.,519,20041028,,200,limestone rainforest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01517448.jpg,,,,,,,,,, +距花万寿竹,Disporum calcaratum,C.W.Wang,72334,19360500,云南省,2300,Woods Rock,,有花无果,https://image.cvh.ac.cn/files/l/PE/00136936.jpg,,,,,,,,,, +万寿竹,Disporum cantoniense,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",243,20020814,云南省,2600,常绿阔叶林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/02088814.jpg,,,,,,,,,, +万寿竹,Disporum cantoniense,李鹏伟,15051902,20150519,贵州省,747,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088182.jpg,,,,,,,,,, +万寿竹,Disporum cantoniense,巴山采集队,6069,20120701,四川省,1220~1320,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066248.jpg,,,,,,,,,, +大花万寿竹,Disporum megalanthum,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",241,20130420,四川省,1800~2050,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994182.jpg,,,,,,,,,, +大花万寿竹,Disporum megalanthum,Chen Zhiduan et al.,960692,19960529,重庆市,1610~1710,mesic valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850410.jpg,,,,,,,,,, +大花万寿竹,Disporum megalanthum,赵常明,EX1311,20070922,湖北省,650,阔叶林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01824121.jpg,,,,,,,,,, +,Disporum uniflorum,甘启良,1946,20070330,湖北省,1100,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005578.jpg,,,,,,,,,, +,Disporum uniflorum,WU SUGONG et al.,3419,19960930,云南省,2400,Under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01948997.jpg,,,,,,,,,, +,Disporum uniflorum,"Hyun,Jin Oh et al.",S0140,20090905,,247,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01896693.jpg,,,,,,,,,, +鹭鸶草,Diuranthera major,林秦文,2013-265,20130731,云南省,1750~2100,峡谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067175.jpg,,,,,,,,,, +鹭鸶草,Diuranthera major,青藏队,11995,19830714,四川省,1300,江边灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01944162.jpg,,,,,,,,,, +鹭鸶草,Diuranthera major,"王文中,田景全,秦绍英",559,19560626,山西省,2000,阴处 山坡 北缓 疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01608534.jpg,,,,,,,,,, +羊角天麻,Dobinea delavayi,青藏队,11676,19830629,四川省,2400,石灰岩山坡常绿阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245167.jpg,,,,,,,,,, +羊角天麻,Dobinea delavayi,"云南考察队(金效华,刘冰,刘博等)",YN-ET1246,20090714,云南省,1900,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245163.jpg,,,,,,,,,, +贡山九子母,Dobinea vulgaris,T.T.Yu,20403,19380924,云南省,1400,among thickets on margin of dense forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244891.jpg,,,,,,,,,, +贡山九子母,Dobinea vulgaris,"李渤生,倪志诚,程树志",7194,19830831,西藏自治区,2400,常绿阔叶林林缘时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077561.jpg,,,,,,,,,, +云南△1,Docynia delavayi,Pavlos Georgiadis,394,20110219,云南省,2220,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01928064.jpg,,,,,,,,,, +栘依,Docynia indica,西师生74级,12108,19760630,四川省,1980,灌木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01439676.jpg,,,,,,,,,, +栘依,Docynia indica,George Forrest,25971,19241100,云南省,2333,In open thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/00773558.jpg,,,,,,,,,, +,Dodecadenia grandiflora var. grandiflora,青藏队,2787,19741004,西藏自治区,2600,河谷 杂木林,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0102528.jpg,,,,,,,,,, +,Dodecadenia grandiflora var. grandiflora,木本油料调查队,395,19650711,云南省,2800,阔叶林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0102518.jpg,,,,,,,,,, +无毛单花木姜子,Dodecadenia grandiflora var. griffithii,青藏队,751618,19750826,西藏自治区,2700,山谷林中,乔木,,https://image.cvh.ac.cn/files/l/HITBC/0015519.jpg,,,,,,,,,, +,Dolichos tenuicaulis,秦仁昌,24524,19290911,云南省,,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00463635.jpg,,,,,,,,,, +麻里麻,Dolichos tenuicaulis,四川植被队,29875,1982-9 2,四川省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0058278.jpg,,,,,,,,,, +美叶川木香,Dolomiaea calophylla,FLPH Tibet Expedition,12-0416,20120911,西藏自治区,4034,荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909615.jpg,,,,,,,,,, +美叶川木香,Dolomiaea calophylla,钟扬,ZhongY1046,20110920,西藏,,荒坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1368834.jpg,,,,,,,,,, +,Dolomiaea edulis,尹志坚等,1195,20090715,云南省,3700~3900,"roadsides, forests margins",,有花有果,https://image.cvh.ac.cn/files/l/PE/01885393.jpg,,,,,,,,,, +,Dolomiaea edulis,成都生物所植被组,13734,19760712,四川省,3200,灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01822444.jpg,,,,,,,,,, +,Dolomiaea forrestii,康藏植物考察队(Kham Expedition),10-3261,20100903,云南省,4000,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234833.jpg,,,,,,,,,, +,Dolomiaea forrestii,FLPH Sichuan Expedition,152365,,四川省,3800~4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084308.jpg,,,,,,,,,, +,Dolomiaea macrocephala,PE西藏队,PE6709,20170915,西藏自治区,4200,湖边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891124.jpg,,,,,,,,,, +平苞川木香,Dolomiaea platylepis,"汤宗孝,田效文,孙庆国",100,19820609,四川省,3350,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01822443.jpg,,,,,,,,,, +平苞川木香,Dolomiaea platylepis,,2533,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01565948.jpg,,,,,,,,,, +,Dolomiaea salwinensis,"Jin Xh,Wang LS et al.",ST1409,20130730,云南省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234825.jpg,,,,,,,,,, +,Dolomiaea salwinensis,"X.H.Jin,Y.S.Chen et al.",DLJ-ET 1706,20080709,西藏自治区,4300,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234824.jpg,,,,,,,,,, +川木香,Dolomiaea souliei,康藏植物考察队(Kham Expedition),10-0580,20100724,四川省,4300,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234834.jpg,,,,,,,,,, +川木香,Dolomiaea souliei,康藏植物考察队(Kham Expedition),10-1968,20100815,西藏自治区,4220,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234832.jpg,,,,,,,,,, +川木香,Dolomiaea souliei,康藏植物考察队(Kham Expedition),10-3099,20100901,云南省,3320,林缘灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234831.jpg,,,,,,,,,, +西藏川木香,Dolomiaea wardii,Anonymous,75-1576,19750905,西藏自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235368.jpg,,,,,,,,,, +西藏川木香,Dolomiaea wardii,Anonymous,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235359.jpg,,,,,,,,,, +腺花旗杆,Dontostemon glandulosus,PE西藏考察队,8010,20180629,西藏自治区,4940,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333722.jpg,,,,,,,,,, +腺花旗杆,Dontostemon glandulosus,吴玉虎,1631,19840812,青海省,4300,沙砾,滩地山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995880.jpg,,,,,,,,,, +线叶花旗杆,Dontostemon integrifolius,Anonymous,s.n.,19620721,内蒙古自治区,7120,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998077.jpg,,,,,,,,,, +线叶花旗杆,Dontostemon integrifolius,刘继孟,382,19571013,山东省,100,山沟 阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995712.jpg,,,,,,,,,, +西藏花旗杆,Dontostemon tibeticus,杨金祥,1954,19630719,西藏自治区,5000,河滩, 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01052411.jpg,,,,,,,,,, +西藏花旗杆,Dontostemon tibeticus,张建文,杨斌,陈洪梁,Zh578,20130830,青海省,4365,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1260749.jpg,,,,,,,,,, +,Dontostemon tibeticus,陈世龙,高庆波,张发起,李印虎,付鹏程,邢睿,ChenSL1281,20110726,青海,4380,高寒草甸,高山河谷,金露梅灌丛,直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1300777.jpg,,,,,,,,,, +阿尔泰多榔菊,Doronicum altaicum,秦仁昌,1040,19560804,新疆维吾尔自治区,2680,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115102.jpg,,,,,,,,,, +阿尔泰多榔菊,Doronicum altaicum,"L.Ivanina,V.Grubov,L.Averyanov O.Zakharieva",94,19780616,,2800,On screes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054977.jpg,,,,,,,,,, +阿尔泰多榔菊,Doronicum altaicum,王作宾,14498,19510722,甘肃省,3100,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050343.jpg,,,,,,,,,, +狭舌多榔菊,Doronicum stenoglossum,FLPH Sichuan Expedition,152985,20150000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084246.jpg,,,,,,,,,, +狭舌多榔菊,Doronicum stenoglossum,康藏植物考察队,10-1089,20100801,青海省,3657,山谷溪边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053594.jpg,,,,,,,,,, +小果阿尔泰葶苈,Draba altaica var. microcarpa,魏振铎,21600,19800718,青海省,4850,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/97045.jpg,,,,,,,,,, +苞叶阿尔泰葶苈,Draba altaica var. modesta,毛品一,1123,19520604,云南省,3900,石山,石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01052469.jpg,,,,,,,,,, +苞叶阿尔泰葶苈,Draba altaica var. modesta,关克俭等,1439,19630801,四川省,4400,岩石下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01052468.jpg,,,,,,,,,, +苞叶阿尔泰葶苈,Draba altaica var. modesta,植被地理组,611,19840805,青海省,4500,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/108887.jpg,,,,,,,,,, +总序阿尔泰葶苈,Draba altaica var. racemosa,张珍万,2612,1963/7/21,青海省,2990,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0216451.jpg,,,,,,,,,, +总序阿尔泰葶苈,Draba altaica var. racemosa,张珍万,2612,19630721,青海,2990,,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0216451.jpg,,,,,,,,,, +长果抱茎葶苈,Draba amplexicaulis var. dolichocarpa,青藏队,12357,19830723,四川省,,山坡 灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109396.jpg,,,,,,,,,, +长果抱茎葶苈,Draba amplexicaulis var. dolichocarpa,北京所横断山队,2031,19810727,云南省,3300~3700,冷杉林内 亚高山 草地及林缘常见种,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109395.jpg,,,,,,,,,, +北方葶苈,Draba borealis,,986,19630803,吉林省,2500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01607713.jpg,,,,,,,,,, +北方葶苈,Draba borealis,Hiroki Yamaji et al.,4429,19970614,,10~30,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01523734.jpg,,,,,,,,,, +,Draba borealis,邱娟,冯建菊,LiuJQ0130,20080809,新疆,4189,山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235699.jpg,,,,,,,,,, +灰岩葶苈,Draba calcicola,青藏队,1467,19810627,云南省,3300~3400,灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01052510.jpg,,,,,,,,,, +灰岩葶苈,Draba calcicola,,,19830723,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/080947.jpg,,,,,,,,,, +柱形葶苈,Draba dasyastra,青藏队,76-8031,19760621,西藏自治区,4900,河边砾石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01052685.jpg,,,,,,,,,, +,Draba dasyastra,张挺,李爱花等,08CS807,20080919,四川,5000,高山流石滩,垫状草本,,https://image.cvh.ac.cn/files/l/KUN/1235754.jpg,,,,,,,,,, +,Draba dasyastra,冯虎元,LiuJQ-08KLS-069,20080906,青海,4371,高寒荒漠草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235757.jpg,,,,,,,,,, +高茎葶苈,Draba elata,王启无,64647,19350700,云南省,3500,Mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01053354.jpg,,,,,,,,,, +高茎葶苈,Draba elata,曲桂齡,2789,19360000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01052541.jpg,,,,,,,,,, +椭圆果葶苈,Draba ellipsoidea,郎楷永等,2085,19830628,四川省,3150,山坡灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821031.jpg,,,,,,,,,, +椭圆果葶苈,Draba ellipsoidea,"张永田,郞楷永",2554,19650903,西藏自治区,5100,山坡,石头缝中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01052554.jpg,,,,,,,,,, +毛葶苈,Draba eriopoda,PE西藏考察队,7127,20180610,西藏自治区,4281,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332649.jpg,,,,,,,,,, +毛葶苈,Draba eriopoda,"张新时,郭柯",天山-172,19860731,新疆维吾尔自治区,2910,倒石堆 草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078067.jpg,,,,,,,,,, +毛葶苈,Draba eriopoda,吴玉虎等,4939,19900727,青海省,3450,林缘 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995886.jpg,,,,,,,,,, +福地葶苈,Draba fladnizensis,"张新时,郭柯",天山-339,19860803,新疆维吾尔自治区,3420,石质平台T-038,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078070.jpg,,,,,,,,,, +,Draba fladnizensis,王金亭,3694,19610803,西藏自治区,4600,阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042217.jpg,,,,,,,,,, +福地葶苈,Draba fladnizensis,C.J.Neuman,s.n.,17060700,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01052598.jpg,,,,,,,,,, +纤细葶苈,Draba gracillima,,271,19590613,西藏自治区,4380,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01052629.jpg,,,,,,,,,, +纤细葶苈,Draba gracillima,,s.n.,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01052607.jpg,,,,,,,,,, +,Draba granitica,"吕正伟,方瑞征",132,19900703,云南省,3900,高山杜鹃灌丛草地,,,https://image.cvh.ac.cn/files/l/KUN/1290061.jpg,,,,,,,,,, +岩葶苈,Draba granitica,青藏队,5682,19750610,西藏自治区,4200,山坡灌丛草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0497849.jpg,,,,,,,,,, +矮葶苈,Draba handelii,郭柯,K-144,19900727,青海省,4940,阳坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01606066.jpg,,,,,,,,,, +,Draba handelii,李晖,文雪梅,熊继贵,Lihui-Q-2010-41,20100911,西藏,5589,高山砾石坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235705.jpg,,,,,,,,,, +,Draba handelii,,ZhengGW09003,,云南,4406,,,,https://image.cvh.ac.cn/files/l/KUN/1235707.jpg,,,,,,,,,, +星毛葶苈,Draba incompta,青藏队,吴玉虎,2626,19880723,新疆维吾尔自治区,4100,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/148663.jpg,,,,,,,,,, +,Draba incompta,,142,19590601,西藏自治区,3900,北坡之石隙中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00630142.jpg,,,,,,,,,, +毛果苞花葶苈,Draba involucrata var. lasiocarpa,T.T.Yu,19850,19380809,云南省,3800,Upon shady rocks,Herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00934811.jpg,,,,,,,,,, +,Draba involucrata var. lasiocarpa,"Yü, Tse-tsun",19850,9-Aug-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00117491.jpg,,,,,,,,,, +愉悦葶苈,Draba jucunda,K.M.Feng,7893,19400920,云南省,3600~3800,岩坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01052674.jpg,,,,,,,,,, +愉悦葶苈,Draba jucunda,青藏队,10283,19820909,西藏自治区,4200,山坡,流石滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01052664.jpg,,,,,,,,,, +锥果葶苈,Draba lanceolata,"张新时,郭柯",天山-190,19860731,新疆维吾尔自治区,2690,倒石堆T-027,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078084.jpg,,,,,,,,,, +锥果葶苈,Draba lanceolata,钟志宇,357,19930711,甘肃省,3300,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604750.jpg,,,,,,,,,, +光果毛叶葶苈,Draba lasiophylla var. leiocarpa,吴玉虎,1268,19820805,青海省,4200,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/112757.jpg,,,,,,,,,, +光果毛叶葶苈,Draba lasiophylla var. leiocarpa,陈绍煋,781006,19780730,新疆,3600,岩石上,,良好,https://image.cvh.ac.cn/files/l/BJM/169163.jpg,,,,,,,,,, +丽江葶苈,Draba lichiangensis,PE西藏考察队,7115,20180610,西藏自治区,4281,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332043.jpg,,,,,,,,,, +丽江葶苈,Draba lichiangensis,青藏队,12365,19830723,四川省,4000,山坡 岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01109407.jpg,,,,,,,,,, +丽江葶苈,Draba lichiangensis,王启无,64668,19350700,云南省,3500,Rock cliff side,,有花有果,https://image.cvh.ac.cn/files/l/PE/01052821.jpg,,,,,,,,,, +线叶葶苈,Draba linearifolia,Qingzang Team,4074,19750619,西藏自治区,4000,荡嘎区东南山阴坡,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00111970.jpg,,,,,,,,,, +葶苈属,Draba macrophylla,"张建文,李彦波,孙露,张成,阳亿",ZJW-3411,20150824,西藏自治区,4650,高山草甸,,,https://image.cvh.ac.cn/files/l/KUN/1274954.jpg,,,,,,,,,, +马塘葶苈,Draba matangensis,李馨,77774,1958-06-,四川省,4300,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0136708.jpg,,,,,,,,,, +,Draba matangensis,彭玉兰、涂卫国、幸福,Gaoxf0237,20080716,四川,3860,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0237499.jpg,,,,,,,,,, +马塘葶苈,Draba matangensis,方震东,147,19870710,云南省,4200~4400,高山草甸灌丛,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003588.jpg,,,,,,,,,, +毛果蒙古葶苈,Draba mongolica var. trichocarpa,,569,19590622,河北省,1500,阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01052856.jpg,,,,,,,,,, +毛果蒙古葶苈,Draba mongolica var. trichocarpa,H.Smith,3924,19220723,四川省,4100,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00934815.jpg,,,,,,,,,, +,Draba mongolica var. trichocarpa,何兴金,高云东,刘海艳,余岩,SCU-20080438,20080813,四川,2926,田边桦木林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235729.jpg,,,,,,,,,, +,Draba moupinensis,青藏队横断山队,1467,19810627,云南省,3300~3400,灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109409.jpg,,,,,,,,,, +,Draba moupinensis,李馨,71671,19570000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01052858.jpg,,,,,,,,,, +,Draba moupinensis,王乾、顾健,SCW1841,20200614,四川,3728,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260131.jpg,,,,,,,,,, +葶苈,Draba nemorosa,石硕,SZ3499,20140512,河北省,1278,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036384.jpg,,,,,,,,,, +葶苈,Draba nemorosa,泛喜马拉雅植物志巴基斯坦采集队,FPH-0183,20120619,,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004675.jpg,,,,,,,,,, +葶苈,Draba nemorosa,何叶祺,406,19590707,甘肃省,2700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998162.jpg,,,,,,,,,, +喜山葶苈,Draba oreades,PE西藏考察队,8049,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332387.jpg,,,,,,,,,, +喜山葶苈,Draba oreades,"张新时,郭柯",天山-120,19860730,新疆维吾尔自治区,3300,高山冰碛侧坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078069.jpg,,,,,,,,,, +喜山葶苈,Draba oreades,吴玉虎等,5520,19900729,青海省,4500,流石坡石隙,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998191.jpg,,,,,,,,,, +山景葶苈,Draba oreodoxa,俞德俊,9181,19370726,云南省,4100,mt.road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/01053247.jpg,,,,,,,,,, +,Draba oreodoxa,蔡杰,张挺,刘成,郭永杰,张桥蓉,11CS3280,20110822,云南,4653,高山流石滩,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1300800.jpg,,,,,,,,,, +山景葶苈,Draba oreodoxa,联大,21622,,云南省 ,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0498070.jpg,,,,,,,,,, +小花葶苈,Draba parviflora,"林业部,林型组",天哈045,19560614,新疆维吾尔自治区,,山下草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01052718.jpg,,,,,,,,,, +小花葶苈,Draba parviflora,杨竟生,4546,19650626,云南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0498161.jpg,,,,,,,,,, +小花葶苈,Draba parviflora,无,809,19860619,四川省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0498164.jpg,,,,,,,,,, +匍匐葶苈,Draba piepunensis,冯国楣,2229,19390828,云南省,0,山坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0498054.jpg,,,,,,,,,, +,Draba piepunensis,张照清,86-18,19860708,四川省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00171100.jpg,,,,,,,,,, +疏花葶苈,Draba remotiflora,"万涛,周世良等",1310,20140321,四川省,,水旁 山谷 沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021051.jpg,,,,,,,,,, +疏花葶苈,Draba remotiflora,鞠文彬,郑臣臣,THP-KD-6532,20170818,四川,3629,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244310.jpg,,,,,,,,,, +,Draba remotiflora,"Smith, Karl August Harald",3777,9-Aug-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00386057.jpg,,,,,,,,,, +沼泽葶苈,Draba rockii,J.F.Rock,12405,19250600,甘肃省,4333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029180.jpg,,,,,,,,,, +沼泽葶苈,Draba rockii,葛学军,Ge130131,20130724,新疆维吾尔自治区 ,0~3400,山地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0776048.jpg,,,,,,,,,, +沼泽葶苈,Draba rockii,杨金祥,1948,1963/7/18,西藏自治区,5000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0410461.jpg,,,,,,,,,, +衰老葶苈,Draba senilis,J.F.Rock,3968,19220525,云南省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029181.jpg,,,,,,,,,, +衰老葶苈,Draba senilis,无,4480,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0498349.jpg,,,,,,,,,, +中甸葶苈,Draba serpens,北京所横断山队,2194,19810728,云南省,4200~4500,高山 流石坡中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109426.jpg,,,,,,,,,, +,Draba serpens,"Handel-Mazzetti, Heinrich",6961,23-Jun-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00386055.jpg,,,,,,,,,, +诸葛菜,Draba serpens,刘澳,BJTC008562,20190703,北京市,813,山坡林地,,有花有果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008562.jpg,,,,,,,,,, +刚毛葶苈,Draba setosa,青藏队,76-12848,19760625,西藏自治区,4400,山坡,锦鸡儿灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01053265.jpg,,,,,,,,,, +,Draba sikkimensis,张大才,李双智,罗康,梁群,SunH-07ZX-1209,20080730,西藏,4130,针叶林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235749.jpg,,,,,,,,,, +,Draba sikkimensis,蔡杰,13CS6943,20130602,西藏自治区,3958,山坡灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1331559.jpg,,,,,,,,,, +葶苈,Draba sikkimensis,张代贵,411020,20041102,湖北神龙架,,生于田边路旁,山坡草地及河谷湿地,一年或二年生草本,有花有果,https://image.cvh.ac.cn/files/l/JIU/JIU23092.jpg,,,,,,,,,, +无毛狭果葶苈,Draba stenocarpa var. leiocarpa,何廷农,159,1965/7/3,青海省,3600,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0290163.jpg,,,,,,,,,, +无毛狭果葶苈,Draba stenocarpa var. leiocarpa,何建农,159,19650703,青海,3600,山顶,石岩缝中,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0290163.jpg,,,,,,,,,, +半抱茎葶苈,Draba subamplexicaulis,"林业部,林型组",46,19560600,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01505031.jpg,,,,,,,,,, +半抱茎葶苈,Draba subamplexicaulis,,s.n.,19290707,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01053286.jpg,,,,,,,,,, +山菜葶苈,Draba surculosa,D.E.Boufford et al.,32634,20050709,四川省,3440,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579561.jpg,,,,,,,,,, +山菜葶苈,Draba surculosa,北京所横断山队,2130,19810728,云南省,4000~4400,高山 流石滩及岩隙中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109448.jpg,,,,,,,,,, +光果西藏葶苈,Draba tibetica var. duthiei,托孜,780625,1978.7.2,新疆维吾尔自治区 ,3300,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00012785.jpg,,,,,,,,,, +,Draba winterbottomii var. stracheyi,R. Strachey & J. E. Winterbottom,10,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00112009.jpg,,,,,,,,,, +云南葶苈,Draba yunnanensis,高信芬等,3466,20020914,四川省,3360,高山石壁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01603075.jpg,,,,,,,,,, +云南葶苈,Draba yunnanensis,青藏队,321,19810602,云南省,3300~3700,疏林下或草坡中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01109473.jpg,,,,,,,,,, +羽叶枝子花,Dracocephalum bipinnatum,"杨昌友,尤鲁斯",741260,19740818,新疆维吾尔自治区,1500,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671840.jpg,,,,,,,,,, +羽叶枝子花,Dracocephalum bipinnatum,"郭柯,郑度",P-086,19891015,,3000,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468550.jpg,,,,,,,,,, +皱叶毛建草,Dracocephalum bullatum,"Y.S.Chen,Z.Y.Chang,M.Deng F.Q.Zhang,Y.Xu",13-2148,20130825,西藏自治区,4870,砾石草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328530.jpg,,,,,,,,,, +皱叶毛建草,Dracocephalum bullatum,中甸队,1657,19620931,云南省,3950~4750,灌丛边沙地或高山石砾,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671844.jpg,,,,,,,,,, +美叶青兰,Dracocephalum calophyllum,康藏植物考察队(Kham Expedition),10-3049,20100831,云南省,4300,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01875718.jpg,,,,,,,,,, +美叶青兰,Dracocephalum calophyllum,P.Liceht S.J.,4585,19180812,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00920922.jpg,,,,,,,,,, +,Dracocephalum heterophyllum var. rubicundum,杨竞生,90-345,19900726,西藏自治区,0~4200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0565809.jpg,,,,,,,,,, +无髭毛建草,Dracocephalum imberbe,黄河队,7637,19560803,陕西省,,山坡沟底,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075778.jpg,,,,,,,,,, +无髭毛建草,Dracocephalum imberbe,L.Ivanina et al.,630,19780715,,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917800.jpg,,,,,,,,,, +无髭毛建草,Dracocephalum imberbe,"杨昌友,尤鲁斯",740818,19740708,新疆维吾尔自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671862.jpg,,,,,,,,,, +覆苞毛建草,Dracocephalum imbricatum,K.M.Feng,2315,19390906,云南省,,on open hillside,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031089.jpg,,,,,,,,,, +覆苞毛建草,Dracocephalum imbricatum,余岩、苏丹美,2022393,20200716,四川,4527,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02022393.jpg,,,,,,,,,, +,Dracocephalum imbricatum,K. M. Feng,2315,1939/9/6,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00001115.jpg,,,,,,,,,, +全缘叶青兰,Dracocephalum integrifolium,"张新时,郭柯",天山-456,19860806,新疆维吾尔自治区,2080,山地草甸草原T-057,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078053.jpg,,,,,,,,,, +全缘叶青兰,Dracocephalum integrifolium,,5135,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468567.jpg,,,,,,,,,, +白萼青兰,Dracocephalum isabellae,T.T.Yu,7814,19370804,云南省,3000,Mangim of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00921142.jpg,,,,,,,,,, +白萼青兰,Dracocephalum isabellae,,12789,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0565825.jpg,,,,,,,,,, +小花毛建草,Dracocephalum microflorum,Joseph F.Rock,24001,19320500,四川省,4833,高山砾石草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432009.jpg,,,,,,,,,, +小花毛建草,Dracocephalum microflorum,俞德浚,9562,19370811,云南省,3100,山箐树林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/218548.jpg,,,,,,,,,, +小花毛建草,Dracocephalum microflorum,刘天慰,112,19620519,山西省,1470,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0218284.jpg,,,,,,,,,, +多节青兰,Dracocephalum nodulosum,秦仁昌,1432,19560806,云南省,2500,草坡上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/213472.jpg,,,,,,,,,, +多节青兰,Dracocephalum nodulosum,秦仁倡,1432,56.08.06,新疆维吾尔自治区 ,2500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00032001.jpg,,,,,,,,,, +多节青兰,Dracocephalum nodulosum,秦仁倡,1432,560806,,2500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20002861.jpg,,,,,,,,,, +宽齿青兰,Dracocephalum paulsenii,,6369,58.08.02,新疆维吾尔自治区 ,2550,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00032116.jpg,,,,,,,,,, +宽齿青兰,Dracocephalum paulsenii,,6369,580802,,2550,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20002991.jpg,,,,,,,,,, +宽齿青兰,Dracocephalum paulsenii,,827,19760618,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0032786.jpg,,,,,,,,,, +多枝青兰,Dracocephalum propinquum,康藏植物考察队(Kham Expedition),10-2924,20100828,云南省,1700~1800,金沙江河谷灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01875709.jpg,,,,,,,,,, +多枝青兰,Dracocephalum propinquum,川经植,3767,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00921391.jpg,,,,,,,,,, +岷山毛建草,Dracocephalum purdomii,T.P.Wang,W.5114,19360720,甘肃省,3300,On weedy high cold slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00921378.jpg,,,,,,,,,, +岷山毛建草,Dracocephalum purdomii,方文培,4105,19280809,四川省,,At grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00921373.jpg,,,,,,,,,, +岷山毛建草,Dracocephalum purdomii,王作宾,13085,19420710,宁夏回族自治区,3000,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/00921372.jpg,,,,,,,,,, +毛建草,Dracocephalum rupestre,李才贵,214,19840828,山西省,2600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081126.jpg,,,,,,,,,, +毛建草,Dracocephalum rupestre,石硕,SZ3634,20140722,河北省,1937,水边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037041.jpg,,,,,,,,,, +长蕊青兰,Dracocephalum stamineum,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13285,20160821,新疆,2994,高山石质山坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1458750.jpg,,,,,,,,,, +长蕊青兰,Dracocephalum stamineum,吴玉虎,32173,20040807,青海省,3550,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0206955.jpg,,,,,,,,,, +长蕊青兰,Dracocephalum stamineum,郭本兆 王为义,21222,19770711,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/65761.jpg,,,,,,,,,, +大理青兰,Dracocephalum taliense,G.Forrast,11524,19130000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00958661.jpg,,,,,,,,,, +大理青兰,Dracocephalum taliense,M.Iabbe Delavay,,18831021,云南省 ,2800,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220627.jpg,,,,,,,,,, +灰毛青兰,Dracocephalum tanguticum var. cinereum,Harry Smith,12204,19340918,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031084.jpg,,,,,,,,,, +甘青青兰,Dracocephalum tanguticum var. cinereum,,183,19790705,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717301387.jpg,,,,,,,,,, +甘青青兰(原变种),Dracocephalum tanguticum var. tanguticum,谢登峰、蔡竞、秦换换,SC-00-021-A-034,20200903,四川,3216.76m,高原草甸,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02063605.jpg,,,,,,,,,, +圆齿毛建草,Dracocephalum velutinum var. intermedium,冯国楣,6763,19400818,云南省,3900~3800,岩坡上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/213544.jpg,,,,,,,,,, +贯筋藤,Dregea sinensis var. corrugata,刘正宇,14348,19930901,重庆市,800,土坎上,,无花有果,https://image.cvh.ac.cn/files/l/PE/02108880.jpg,,,,,,,,,, +贯筋藤,Dregea sinensis var. corrugata,蓝顺彬,515,19850811,云南省,2100,向阳山坡杂林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01647832.jpg,,,,,,,,,, +苦绳(原变种),Dregea sinensis var. sinensis,田林县调查队,3-43300,19770603,广西壮族自治区,,,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI031423.jpg,,,,,,,,,, +苦绳,Dregea sinensis var. sinensis,陕西省中草药普查队,1507,19700606,陕西省,,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH012326.jpg,,,,,,,,,, +,Dregea yunnanensis var. major,毛品一,2007,19521211,云南省,1140,草地干燥,,有花有果,https://image.cvh.ac.cn/files/l/PE/01024417.jpg,,,,,,,,,, +,Dregea yunnanensis var. major,李馨,76515,19570928,四川省,1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01024415.jpg,,,,,,,,,, +,Dregea yunnanensis var. major,W.C.Cheng,1927,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01024416.jpg,,,,,,,,,, +茅膏菜,Drosera peltata,"倪志诚,汪永泽,次多,次旦",85,19800619,西藏自治区,3100,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231797.jpg,,,,,,,,,, +茅膏菜,Drosera peltata,"M Suzuki,H Hatta,N Kurosaki,M Mikage,F Miyamoto et",9160100,19910731,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109085.jpg,,,,,,,,,, +茅膏菜,Drosera peltata,"H.Li,S.X.Yang,R.Li etc.",860,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109021.jpg,,,,,,,,,, +荷莲豆草,Drymaria cordata,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T319,20160919,西藏自治区,1661,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233381.jpg,,,,,,,,,, +荷莲豆草,Drymaria cordata,PE-BO Team,296,20131213,,,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036815.jpg,,,,,,,,,, +荷莲豆草,Drymaria cordata,红水河植物考察队,518,19890510,广西壮族自治区,800,山地山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01986166.jpg,,,,,,,,,, +毛荷莲豆草,Drymaria villosa,"张永田,郞楷永",3103,19660503,西藏自治区,1700,林间草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00583432.jpg,,,,,,,,,, +毛荷莲豆草,Drymaria villosa,吴征镒,233,19840421,,1220,荫湿路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0512518.jpg,,,,,,,,,, +矮小厚喙菊,Dubyaea gombalana,FLPH Tibet Expedition,12-1789,20120919,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967485.jpg,,,,,,,,,, +,Dubyaea gombalana,"Handel-Mazzetti, Heinrich",9889,15-Jul-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00394874.jpg,,,,,,,,,, +厚喙菊,Dubyaea hispida,PLPH Tibet expedition,12-1214,20120913,西藏自治区,4445,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235785.jpg,,,,,,,,,, +厚喙菊,Dubyaea hispida,"杨亲二,袁琼",Yangqe2462,20080907,云南省,4000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235784.jpg,,,,,,,,,, +皱果蛇莓,Duchesnea chrysantha,"罗建,林玲",9021,20090610,西藏自治区,2526,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902072.jpg,,,,,,,,,, +皱果蛇莓,Duchesnea chrysantha,K. W. Kim et al.,2009-0521,20090508,,141,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863460.jpg,,,,,,,,,, +皱果蛇莓,Duchesnea chrysantha,北京队,44,19880526,湖南省,400~480,东南2KM常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802458.jpg,,,,,,,,,, +,Duchesnea indica var. indica,刘景欣,833,20090928,云南,1512,水稻田,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029237.jpg,,,,,,,,,, +蛇莓,Duchesnea indica var. indica,张代贵,zdg9970,20141002,湖南省,455,,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU07185.jpg,,,,,,,,,, +,Duhaldea cappa,赵佐成,3044,19931008,四川省,1400,阳坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235993.jpg,,,,,,,,,, +,Duhaldea cappa,陈又生,9807,20090915,西藏自治区,2100,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052641.jpg,,,,,,,,,, +,Duhaldea cappa,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003186,20171215,,612,Forests on hillside,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1450429.jpg,,,,,,,,,, +泽兰羊耳菊,Duhaldea eupatorioides,侯学良,11062277,20110622,江西,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU070835.jpg,,,,,,,,,, +,Duhaldea forrestii,"Forrest, George",10723,13-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00413650.jpg,,,,,,,,,, +拟羊耳菊,Duhaldea forrestii,杨静;张品;陈高;唐荣,KIBYJ00301B07,20170720,云南,1464,干热河谷灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1562297.jpg,,,,,,,,,, +,Duhaldea nervosa,"Esquirol, J.",808,,,,,,,https://image.cvh.ac.cn/files/l/E/E00413646.jpg,,,,,,,,,, +显脉旋覆花,Duhaldea nervosa,张挺,亚吉东,杨娅娟,陈凯,16CS13910,20161013,四川,2588,林下,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1439468.jpg,,,,,,,,,, +显脉旋覆花,Duhaldea nervosa,李永亮,LiYL1897,20171021,云南,1850,南亚热带针阔混交林,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1481298.jpg,,,,,,,,,, +心叶山黑豆,Dumasia cordifolia,刘恩德等,407,20031012,云南省,2300,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920474.jpg,,,,,,,,,, +心叶山黑豆,Dumasia cordifolia,,5949,19590902,四川省,2100,草地阳处灌木丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00463637.jpg,,,,,,,,,, +小鸡藤,Dumasia forrestii,罗建等,LuoJian-XZ-0930,20091003,西藏自治区,3723,林缘灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923881.jpg,,,,,,,,,, +小鸡藤,Dumasia forrestii,刘恩德等,264,20030909,云南省,2400,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920480.jpg,,,,,,,,,, +柔毛山黑豆,Dumasia villosa,北京队,890243,19890925,广西壮族自治区,520,山沟林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996666.jpg,,,,,,,,,, +柔毛山黑豆,Dumasia villosa,李渤生等,2719,19830204,西藏自治区,950,江边林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01804400.jpg,,,,,,,,,, +柔毛山黑豆,Dumasia villosa,王印政等,4918,19981026,云南省,1280,山地 山谷 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01641381.jpg,,,,,,,,,, +毛蕊草,Duthiea brachypodium,刘坤,LiuJQ-GN-2011-314,20110905,甘肃,3467,高寒草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401109.jpg,,,,,,,,,, +毛蕊草,Duthiea brachypodium,张昌兵,ZhangCB0026,20081017,四川,3540,宽谷山麓草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401111.jpg,,,,,,,,,, +云南八角莲,Dysosma aurantiocaulis,昆明工作站,15977,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01035667.jpg,,,,,,,,,, +桃儿七,Dysosma delavayi,刘恩德,上官法智,4076,20140811,云南省,2373,under forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1248607.jpg,,,,,,,,,, +西南八角莲,Dysosma delavayi,四川植被队,25166,1981-5 5,四川省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0028314.jpg,,,,,,,,,, +西藏八角莲,Dysosma tsayuensis,PE西藏队,PE5937,20170905,西藏自治区,3020~3460,林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/02333945.jpg,,,,,,,,,, +樫木,Dysoxylum excelsum,,9399,19570418,云南省,,山坡倾斜密林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01137640.jpg,,,,,,,,,, +樫木,Dysoxylum excelsum,陈少卿,11670,19570607,广西壮族自治区,300~500,山谷岩石上水旁密林中阴处少数散生野生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01137627.jpg,,,,,,,,,, +樫木,Dysoxylum excelsum,C .W.Wang,78982,19361000,云南省 ,800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0215246.jpg,,,,,,,,,, +墨脱葱臭木,Dysoxylum medogense,科考队,1691,19740808,西藏自治区,860,常绿阔叶林 林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00935293.jpg,,,,,,,,,, +,Dysoxylum medogense,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11843,20161112,西藏,961,公路上方灌草丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444945.jpg,,,,,,,,,, +,Dysphania aristata,李晓东,刘帆,张景博,徐凌翔,LiJ0008,20080830,甘肃,3418,高山,河滩,湿地,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1244831.jpg,,,,,,,,,, +,Dysphania aristata,田先华,李明辉,TianXH746,20120923,陕西,1230,荒漠草原草丛中,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1303360.jpg,,,,,,,,,, +刺藜,Dysphania aristata,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13256,20160820,新疆,1793,多石山坡上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1449337.jpg,,,,,,,,,, +,Dysphania botrys,"Li Zhenyu,Jin Xiaohua,Tu Yanli etc.",T073,20160912,西藏自治区,2900,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233360.jpg,,,,,,,,,, +,Dysphania botrys,泛喜马拉雅植物志巴基斯坦采集队,FPH-0660,20120623,,3200,果园,,无花无果,https://image.cvh.ac.cn/files/l/PE/02005154.jpg,,,,,,,,,, +,Dysphania schraderiana,许炳强等,XiaNh-07zx-0,20100928,西藏自治区,0~3700,路边灌丛,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0765464.jpg,,,,,,,,,, +,Dysphania schraderiana,何兴金,李琴琴,马祥光,赵丽华,SCU-09-158,20090825,四川,3455,草坡,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1244859.jpg,,,,,,,,,, +,Dysphania schraderiana,郭淑青,杜品,LiuJQ-2012-GN-147,20120823,甘肃,2915,亚高山草甸坡地,路边,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1244904.jpg,,,,,,,,,, +,Echinochloa crusgalli,陈全胜,CF-0012-322,20170828,内蒙古自治区,904,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246678.jpg,,,,,,,,,, +,Echinochloa crusgalli,老铁山采集队,360,20080710,辽宁省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089631.jpg,,,,,,,,,, +,Echinochloa crusgalli,"ChoYH,RyuDS,ChoKH LeeJG",WR-060906-090,20060906,,25,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089401.jpg,,,,,,,,,, +砂蓝刺头,Echinops gmelini,郎学忠,193,19560831,内蒙古自治区,,草地路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078446.jpg,,,,,,,,,, +砂蓝刺头,Echinops gmelini,山西植物所调查队,422,19530803,山西省,1040~1100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01567860.jpg,,,,,,,,,, +矮蓝刺头,Echinops humilis,"李渤生,郑度,张百明",10031,19870617,新疆维吾尔自治区,2180,第三个沙石坡 偏见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01295196.jpg,,,,,,,,,, +丝毛蓝刺头,Echinops nanus,,748,,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00554214.jpg,,,,,,,,,, +丝毛蓝刺头,Echinops nanus,,5615,1958.6.1,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00044223.jpg,,,,,,,,,, +丝毛蓝刺头,Echinops nanus,,5615,1958614,,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20024630.jpg,,,,,,,,,, +鳢肠,Eclipta prostrata,张彩飞,3299,20121027,北京市,,潮湿阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247570.jpg,,,,,,,,,, +鳢肠,Eclipta prostrata,Li Heng et al,37843,20050819,云南省,1280,in loam on granite,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235869.jpg,,,,,,,,,, +鳢肠,Eclipta prostrata,"刘正宇,张军等",RQHZ06215,20141103,四川省,749,黄壤 草丛 荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115293.jpg,,,,,,,,,, +三棱瓜,Edgaria darjeelingensis,"姜恕,赵从福",250,19670929,西藏自治区,2450,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01178540.jpg,,,,,,,,,, +滇结香,Edgeworthia gardneri,"李渤生,程树志",4437,19830502,西藏自治区,2400,河边Aluns林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01598683.jpg,,,,,,,,,, +滇结香,Edgeworthia gardneri,B.Barhtolomew et D.E.Boufford,3887,19860331,,1250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598684.jpg,,,,,,,,,, +西南厚壳树,Ehretia corylifolia,邱炳云,57049,19580708,云南省,2200,杉松林中路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01648848.jpg,,,,,,,,,, +西南厚壳树,Ehretia corylifolia,毕节队,254,19590711,贵州省,1650,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01360811.jpg,,,,,,,,,, +粗糠树,Ehretia dicksonii,川黔队,724,19560622,重庆市,300,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02083530.jpg,,,,,,,,,, +粗糠树,Ehretia dicksonii,彭镜毅,6540,19840413,台湾省,1450~1500,Waterfall,,有花有果,https://image.cvh.ac.cn/files/l/PE/01916184.jpg,,,,,,,,,, +窄叶木半夏,Elaeagnus angustata,江春荣,s.n.,19960520,四川省,1600,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821361.jpg,,,,,,,,,, +窄叶木半夏,Elaeagnus angustata,神农架队,21384,19760709,湖北省,1400,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01020266.jpg,,,,,,,,,, +窄叶木半夏,Elaeagnus angustata,秦仁昌,23535,19290803,云南省,,杂木林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01015725.jpg,,,,,,,,,, +,Elaeagnus bockii var. bockii,"溥发鼎,曹亚玲",1014,19880719,重庆市,1450,杂灌木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01561193.jpg,,,,,,,,,, +长叶胡颓子(原变种),Elaeagnus bockii var. bockii,陈泽映 胡刚 赵振锯 熊子仙 刘培嵩,112083,19800515,四川省,1380,流水边,灌木,无花有果,https://image.cvh.ac.cn/files/l/CQNM/0006582.jpg,,,,,,,,,, +长柄胡颓子,Elaeagnus delavayi,PE-古蔺考察队,540,20100905,四川省,1100~1580,山谷,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01864198.jpg,,,,,,,,,, +长柄胡颓子,Elaeagnus delavayi,黔南队,210,19590405,贵州省,800,山坡疏林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850110.jpg,,,,,,,,,, +长柄胡颓子,Elaeagnus delavayi,易思荣等,7,20050116,重庆市,1160,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01681983.jpg,,,,,,,,,, +宜昌胡颓子,Elaeagnus henryi,"Li Heng,Yang Shixiong,Lei Ligong etc.",1479,20030416,云南省,2490,常绿阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111716.jpg,,,,,,,,,, +宜昌胡颓子,Elaeagnus henryi,王阳明,12,20050325,广西壮族自治区,250,山脚 红壤 光强 湿度干,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043564.jpg,,,,,,,,,, +披针叶胡颓子,Elaeagnus lanceolata,巴山采集队,2500,20080726,重庆市,2100,山谷杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02113133.jpg,,,,,,,,,, +披针叶胡颓子,Elaeagnus lanceolata,"傅德志,陈淑荣,邵毅贞等",1690,20140425,四川省,1120~1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02021134.jpg,,,,,,,,,, +披针叶胡颓子,Elaeagnus lanceolata,安明态,1,20090116,贵州省,600,河谷林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01862266.jpg,,,,,,,,,, +兰坪胡颓子,Elaeagnus lanpingensis,H.T.Tsai,56264,19331020,云南省,2300,In ravine,tree,无花有果,https://image.cvh.ac.cn/files/l/PE/00025592.jpg,,,,,,,,,, +兰坪胡颓子,Elaeagnus lanpingensis,H.T.Tsai,56264,1933/10/20,云南,2300,,tree,有花无果,https://image.cvh.ac.cn/files/l/WUK/0037208.jpg,,,,,,,,,, +木半夏,Elaeagnus multiflora,丁小平,6,20050415,江西省,300,山坡红壤光中湿度中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043499.jpg,,,,,,,,,, +木半夏,Elaeagnus multiflora,巴山采集队,5612,20110712,四川省,1550,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872889.jpg,,,,,,,,,, +白花胡颓子,Elaeagnus pallidiflora,刘慎谔,15309,19460303,云南省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01015783.jpg,,,,,,,,,, +白花胡颓子,Elaeagnus pallidiflora,毕节队,946,19590817,贵州省,1950,山坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01015781.jpg,,,,,,,,,, +牛奶子,Elaeagnus umbellata,PE西藏队,PE6311,20170911,西藏自治区,2445,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330385.jpg,,,,,,,,,, +牛奶子,Elaeagnus umbellata,任再金,3819,19930531,四川省,2600,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113215.jpg,,,,,,,,,, +牛奶子,Elaeagnus umbellata,"老铁山采集队(孙英宝,王小平,刘冰,徐晓婷,张学伟,邱磊,王立平,毕恒涛,于业飞,苗华明)",149,20080503,辽宁省,,山沟林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113088.jpg,,,,,,,,,, +绿叶胡颓子,Elaeagnus viridis,高信芬等,3582,20020916,四川省,2000,溪沟边坡壁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850120.jpg,,,,,,,,,, +绿叶胡颓子,Elaeagnus viridis,税玉民,1792,19930326,云南省,1000,土山地山坡密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850119.jpg,,,,,,,,,, +西藏胡颓子,Elaeagnus xizangensis,李渤生等,1084,19820926,西藏自治区,2200~2400,河边时见灌木,,无花无果,https://image.cvh.ac.cn/files/l/PE/01681962.jpg,,,,,,,,,, +西藏胡颓子,Elaeagnus xizangensis,"刘成, 亚吉东",18CS17236,20181121,西藏,1627,林缘路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486770.jpg,,,,,,,,,, +滇藏杜英,Elaeocarpus braceanus,周仕顺,240,20011020,云南省,1400,沟谷杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01610609.jpg,,,,,,,,,, +滇藏杜英,Elaeocarpus braceanus,,2481,19740911,西藏自治区,1600,常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01351736.jpg,,,,,,,,,, +短穗杜英,Elaeocarpus brachystachyus,毛品一,463,19560917,云南省,1400,水沟旁潮湿林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01349136.jpg,,,,,,,,,, +短穗杜英,Elaeocarpus brachystachyus,毛品一,463,19560917,云南,1400,水沟旁,潮湿林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1206775.jpg,,,,,,,,,, +显脉杜英,Elaeocarpus dubius,广西调查队,3873,19531010,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999798.jpg,,,,,,,,,, +显脉杜英,Elaeocarpus dubius,K.S.Chow etc.,78418,19781212,海南省,900,under woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/01351749.jpg,,,,,,,,,, +显脉杜英,Elaeocarpus dubius,石国良,13040,19770804,广东省,,山谷丛林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01351748.jpg,,,,,,,,,, +肿柄杜英,Elaeocarpus harmandii,K.M.Feng,8006,19400920,云南省,2200~2500,沟边杂林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01351233.jpg,,,,,,,,,, +肿柄杜英,Elaeocarpus harmandii,C.W.Wang,67463,19351000,云南省 ,2000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0254141.jpg,,,,,,,,,, +,Elaeocarpus japonicus var. japonicus,北京队,896053,19890605,广西壮族自治区,1100,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01999805.jpg,,,,,,,,,, +日本杜英,Elaeocarpus japonicus var. japonicus,安明态,274,20010512,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0018543.jpg,,,,,,,,,, +澜沧杜英,Elaeocarpus japonicus var. lantsangensis,H.T.Tsai,62801,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01351644.jpg,,,,,,,,,, +澜沧杜英,Elaeocarpus japonicus var. lantsangensis,李泽棠,172,,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01351638.jpg,,,,,,,,,, +澜沧杜英,Elaeocarpus japonicus var. lantsangensis,C.W.Wang,79620,19301000,云南省 ,1000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0253861.jpg,,,,,,,,,, +多沟杜英,Elaeocarpus lacunosus,"Jin Xh,Wang LS,Wang Q et al.",ST0771,20130723,云南省,,mountain slope shade,,有花无果,https://image.cvh.ac.cn/files/l/PE/01979969.jpg,,,,,,,,,, +多沟杜英,Elaeocarpus lacunosus,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0253870.jpg,,,,,,,,,, +多沟杜英,Elaeocarpus lacunosus,T.T.Yu,19216,19370707,云南省 ,1850,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0253869.jpg,,,,,,,,,, +,Elaeocarpus lanceifolius,阿国仁,NJWLS1500,20130101,云南省,2306,阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1322122.jpg,,,,,,,,,, +披针叶杜英,Elaeocarpus lanceifolius,张志翔,31958,19910818,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00010805.jpg,,,,,,,,,, +披针叶杜英,Elaeocarpus lanceifolius,R.C.Ching,6269,19280900,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0010573.jpg,,,,,,,,,, +长柄杜英,Elaeocarpus petiolatus,梁向日,63165,19330926,海南省,,疏林半阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01351837.jpg,,,,,,,,,, +长柄杜英,Elaeocarpus petiolatus,,8157,,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01351838.jpg,,,,,,,,,, +樱叶杜英,Elaeocarpus prunifolioides,王洪,6859,20040119,云南省,950,公路边次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01610682.jpg,,,,,,,,,, +毛果杜英,Elaeocarpus rugosus,珍稀组,33835,19830318,云南省,1800,山地林中,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1266136.jpg,,,,,,,,,, +,Elaeocarpus rugosus,刘心祈,26702,19360510,海南省,0,Thickets,乔木 ,无花无果,https://image.cvh.ac.cn/files/l/KUN/0470850.jpg,,,,,,,,,, +大果杜英,Elaeocarpus sikkimensis,中苏队,5624,19570303,云南省,1520,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0254365.jpg,,,,,,,,,, +大果杜英,Elaeocarpus sikkimensis,孙航,邓涛等,sunhang16164,20130429,,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1256322.jpg,,,,,,,,,, +美脉杜英,Elaeocarpus varunua,周仕顺,5098,20090108,云南省,900,沟谷林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02225829.jpg,,,,,,,,,, +美脉杜英,Elaeocarpus varunua,青藏队,4607,19740829,西藏自治区,1000,山坡阔叶林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01366180.jpg,,,,,,,,,, +尖被楼梯草,Elatostema acutitepalum,青藏队,9158,19820809,云南省,1300,山坡常绿阔叶林下,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00023102.jpg,,,,,,,,,, +背崩楼梯草,Elatostema beibengense,李勃生 程树志 倪志诚,3763,19830524,西藏自治区,1700,乔松林下时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934342.jpg,,,,,,,,,, +苎麻楼梯草,Elatostema boehmerioides,李勃生 程树志,4576,19830510,西藏自治区,800,Alnus 半常绿雨林下时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934435.jpg,,,,,,,,,, +骤尖楼梯草,Elatostema cuspidatum var. cuspidatum,吴增源,WuZY-09257,20090801,云南省,557,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261920.jpg,,,,,,,,,, +骤尖楼梯草,Elatostema cuspidatum var. cuspidatum,朱太平,刘忠福,846,19590511,贵州省,1250,沟底岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0161972.jpg,,,,,,,,,, +骤尖楼梯草,Elatostema cuspidatum var. cuspidatum,青藏队,6649,19750630,西藏自治区,2100~2200,阔叶林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0161985.jpg,,,,,,,,,, +长角骤尖楼梯草,Elatostema cuspidatum var. dolichoceras,北京所横断山队,701,19810621,云南省,2300,沟边湿地常见种,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934355.jpg,,,,,,,,,, +双头楼梯草,Elatostema didymocephalum,李勃生 程树志,4953,19830602,西藏自治区,950,Ficus 林下湿地多见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934358.jpg,,,,,,,,,, +独龙楼梯草,Elatostema dulongense,青藏队,9130,19820809,云南省,1350,山坡常绿阔叶林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00023131.jpg,,,,,,,,,, +独龙楼梯草,Elatostema dulongense,白洪兵、李红,533324180829554LY,20180829,云南,2114,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009850.jpg,,,,,,,,,, +绒序楼梯草,Elatostema eriocephalum,李勃生 程树志,3570,19830208,西藏自治区,900,林下潮湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934361.jpg,,,,,,,,,, +绒序楼梯草,Elatostema eriocephalum,路端正,,19990800,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00041815.jpg,,,,,,,,,, +绒序楼梯草,Elatostema eriocephalum,路端正,,19990800,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00041815.jpg,,,,,,,,,, +锈茎楼梯草,Elatostema ferrugineum,青藏队,9313,19820813,云南省,1400,山坡常绿阔叶林下岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934362.jpg,,,,,,,,,, +梨序楼梯草,Elatostema ficoides,236 四川任务组,220,19720731,四川省,1000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02085506.jpg,,,,,,,,,, +梨序楼梯草,Elatostema ficoides,"吴增源,刘铭璐",WuZY-2012131,20120729,重庆市,657,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032550.jpg,,,,,,,,,, +梨序楼梯草,Elatostema ficoides,广西队,3487,19530908,广西壮族自治区,,水沟旁疏密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985226.jpg,,,,,,,,,, +粗齿楼梯草,Elatostema grandidentatum,应俊生 洪德元,650535,19650711,西藏自治区,,密林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934367.jpg,,,,,,,,,, +粗齿楼梯草,Elatostema grandidentatum,宋健,522422160825003LY,20160825,贵州省,1440.6,中生、阳性、酸性土、中温、野生植物、灌丛,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0034109.jpg,,,,,,,,,, +粗齿楼梯草,Elatostema grandidentatum,刘正宇,971217,19970811,重庆市,1320,溪边,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0035753.jpg,,,,,,,,,, +贡山楼梯草,Elatostema gungshanense,"刘杰,刘基男,陈凯",GLGE14988,20140924,云南省,2198,老公路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/02032462.jpg,,,,,,,,,, +贡山楼梯草,Elatostema gungshanense,李渤生等,6767,19830819,西藏自治区,2500,林下时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00160648.jpg,,,,,,,,,, +疏晶楼梯草,Elatostema hookerianum,Yuhua Li,3549,20080607,云南省,3700,broad-lfeaf forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108139.jpg,,,,,,,,,, +疏晶楼梯草,Elatostema hookerianum,金效华,139,20011200,广西壮族自治区,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01858924.jpg,,,,,,,,,, +刀叶楼梯草,Elatostema imbricans,陈伟烈,10702,19800628,西藏自治区,2200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00160720.jpg,,,,,,,,,, +朴叶楼梯草,Elatostema integrifolium,税玉民等,32114,20030618,云南省,650,under dense forest on the limestone slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862346.jpg,,,,,,,,,, +朴叶楼梯草,Elatostema integrifolium,韦毅刚等,3,20071217,广西壮族自治区,,引种广西环江木伦保护区,,有花无果,https://image.cvh.ac.cn/files/l/PE/01659666.jpg,,,,,,,,,, +朴叶楼梯草,Elatostema integrifolium,Tatemi Shimizu et al.,20952,19791027,,1500~1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01578811.jpg,,,,,,,,,, +楼梯草,Elatostema involucratum,"贾潇洒,于杰",3881,20100731,四川省,1890,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059918.jpg,,,,,,,,,, +楼梯草,Elatostema involucratum,,西10(2),19800900,广西壮族自治区,1600,山地上西江,,无花无果,https://image.cvh.ac.cn/files/l/PE/01985230.jpg,,,,,,,,,, +楼梯草,Elatostema involucratum,罗林波,161,19940809,湖南省,550,山谷阴湿水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901442.jpg,,,,,,,,,, +光叶楼梯草,Elatostema laevissimum,"韩孟奇,黄金全",HMQ494,20150526,贵州省,1186,山地、石灰岩石山、石上(石缝),,有花无果,https://image.cvh.ac.cn/files/l/PE/02057244.jpg,,,,,,,,,, +光叶楼梯草,Elatostema laevissimum,税玉民等,10711,19990909,云南省,1720,on tree trunk,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862353.jpg,,,,,,,,,, +光叶楼梯草,Elatostema laevissimum,韦毅刚,74,20090324,广西壮族自治区,,土山林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847666.jpg,,,,,,,,,, +疏伞楼梯草,Elatostema laxicymosum,South Tibet Expedition Team(STET),STET2320,20100807,西藏自治区,840,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108137.jpg,,,,,,,,,, +,Elatostema lineolatum,"张志耘,谢磊,张强",2015-090,20150502,广西壮族自治区,200~300,valley road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062361.jpg,,,,,,,,,, +,Elatostema lineolatum,金效华,YN-ET 51,20090623,云南省,1980,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862499.jpg,,,,,,,,,, +木姜楼梯草,Elatostema litseifolium,李勃生 程树志,4326,19830426,西藏自治区,1600,常绿阔叶林石上时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934376.jpg,,,,,,,,,, +多序楼梯草,Elatostema macintyrei,北京队,890263,19890425,广西壮族自治区,700,山沟林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985250.jpg,,,,,,,,,, +多序楼梯草,Elatostema macintyrei,红水河植物考察队,1858,19890527,云南省,800,南盘江边河滩地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01985242.jpg,,,,,,,,,, +墨脱楼梯草,Elatostema medogense,生态室高原组,11408,19800727,西藏自治区,1900,林下地面,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934379.jpg,,,,,,,,,, +异叶楼梯草,Elatostema monandrum,"刘杰,刘基男,陈凯",GLGE141504,20141006,云南省,2148,附生于树杆上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032468.jpg,,,,,,,,,, +异叶楼梯草,Elatostema monandrum,"高连明,严丽君,吴之坤",GLM-123658,20120703,西藏自治区,1750,常绿阔叶林,,无花无果,https://image.cvh.ac.cn/files/l/PE/02032458.jpg,,,,,,,,,, +托叶楼梯草,Elatostema nasutum,FLPH Tibet Expedition,12-1825,20120919,西藏自治区,2300~3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02283619.jpg,,,,,,,,,, +托叶楼梯草,Elatostema nasutum,"Jin XH,Wang LS,Wang Q.Wei R,Fu ZX,Feng YL",ST1576,20130801,云南省,2750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108190.jpg,,,,,,,,,, +钝叶楼梯草,Elatostema obtusum,PE西藏考察队,7166,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331992.jpg,,,,,,,,,, +钝叶楼梯草,Elatostema obtusum,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET 0438,20080627,云南省,2270,evergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108182.jpg,,,,,,,,,, +粗角楼梯草,Elatostema pachyceras,北京植物所横断山队,441,19810606,云南省,1700,两岸沟谷水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032667.jpg,,,,,,,,,, +粗角楼梯草,Elatostema pachyceras,L.Q.Li et al.,386,20041027,,250,valley rainforest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01794457.jpg,,,,,,,,,, +微晶楼梯草,Elatostema papillosum,South Tibet Expedition Team(STET),STET2430,20100808,西藏自治区,750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108166.jpg,,,,,,,,,, +宽角楼梯草,Elatostema platyceras,北京植物所横断山队,441,19810606,云南省,1700,两岸沟谷水边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00023181.jpg,,,,,,,,,, +宽叶楼梯草,Elatostema platyphyllum,Gaoligong Shan Biodiversity Survey,23171,20041114,云南省,1430,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847885.jpg,,,,,,,,,, +宽叶楼梯草,Elatostema platyphyllum,H.F.Sun,2381,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00161734.jpg,,,,,,,,,, +宽叶楼梯草,Elatostema platyphyllum,生态室高原组,11241,19800723,西藏自治区,700,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00161731.jpg,,,,,,,,,, +多脉楼梯草,Elatostema pseudoficoides,马鹏飞,MPF10154,20100705,重庆市,2150,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032554.jpg,,,,,,,,,, +多脉楼梯草,Elatostema pseudoficoides,"吴增源,刘杰",WuZY2012193,20120820,湖北省,975,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032558.jpg,,,,,,,,,, +直尾楼梯草,Elatostema recticaudatum,李勃生 程树志,3880,19830328,西藏自治区,650,Ficus 林下石砾 地时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934402.jpg,,,,,,,,,, +对叶楼梯草,Elatostema sinense,"吴增源,刘铭璐",WuZY2012075,20120730,重庆市,1713,林下阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050467.jpg,,,,,,,,,, +对叶楼梯草,Elatostema sinense,"吴增源,刘杰",WuZY2012211,20120820,湖北省,534,林下阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050468.jpg,,,,,,,,,, +拟骤尖楼梯草,Elatostema subcuspidatum,刘正宇,4387,19830830,四川省,1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00023201.jpg,,,,,,,,,, +拟骤尖楼梯草,Elatostema subcuspidatum,云阳队,500235-130701-836-01,20130701,重庆市,1438,沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0045067.jpg,,,,,,,,,, +拟骤尖楼梯草,Elatostema subcuspidatum,刘正宇,2022529,20020923,云南省,1500,阴湿林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0035790.jpg,,,,,,,,,, +拟细尾楼梯草,Elatostema tenuicaudatoides,税玉民,1432,19930204,云南省,1650,山沟密林中水沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01869334.jpg,,,,,,,,,, +拟细尾楼梯草,Elatostema tenuicaudatoides,李勃生 程树志,2464,19830111,西藏自治区,2400,常绿阔叶林阴湿林下及阶地空竹丛下多见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934434.jpg,,,,,,,,,, +四被楼梯草,Elatostema tetratepalum,生态室 高原组,11307,19800724,西藏自治区,700,林下,草本,无花无果,https://image.cvh.ac.cn/files/l/PE/00023211.jpg,,,,,,,,,, +漾濞楼梯草,Elatostema yangbiense,北京所横断山队,701,19810621,云南省,2300,沟边湿地常见种,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032665.jpg,,,,,,,,,, +漾濞楼梯草,Elatostema yangbiense,陈伟烈等,54046,19840521,四川省,2150,路边岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/00192160.jpg,,,,,,,,,, +俞氏楼梯草,Elatostema yui,T.T.Yu,19950,19370826,云南省,1900,under woods,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00934447.jpg,,,,,,,,,, +,Eleocharis abnorma,郭本兆,27820,198507??,青海省,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/120236.jpg,,,,,,,,,, +密花荸荠,Eleocharis congesta,北京队,892040,19890430,广西壮族自治区,600,水田,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017220.jpg,,,,,,,,,, +密花荸荠,Eleocharis congesta,"J.Hirai,M.Tsuji and K.Fukuda",TF 544,19780810,,750,muddy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911779.jpg,,,,,,,,,, +密花荸荠,Eleocharis congesta,"李明生,李振宇等",5993,19860801,福建省,300,水田,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911755.jpg,,,,,,,,,, +,Eleocharis dulcis,"李明生,李振宇等",6070,19860811,福建省,169,水田,,无花无果,https://image.cvh.ac.cn/files/l/PE/02024525.jpg,,,,,,,,,, +,Eleocharis dulcis,泛喜马拉雅植物志巴基斯坦采集队,FPH-0132,20120618,,1850,river bank,,有花有果,https://image.cvh.ac.cn/files/l/PE/02004435.jpg,,,,,,,,,, +,Eleocharis dulcis,Ming-Jer Jung,3469,20080919,台湾省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950152.jpg,,,,,,,,,, +无毛荸荠,Eleocharis glabella,青甘队,787,19590801,青海省,3500,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/002631.jpg,,,,,,,,,, +无毛荸荠,Eleocharis glabella,高生所 西藏队,3730,19740725,西藏自治区,4280,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/176852.jpg,,,,,,,,,, +中间型荸荠,Eleocharis intersita,K.M.Liou,6573,19360809,青海省,2000,Pres des eaux ou dans leaux,,有花无果,https://image.cvh.ac.cn/files/l/PE/02024501.jpg,,,,,,,,,, +中间型荸荠,Eleocharis intersita,陈耀东,501,19830708,北京市,,水沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/02024463.jpg,,,,,,,,,, +中间型荸荠,Eleocharis intersita,牙资南队,860115,19860621,内蒙古自治区,,河边 湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911764.jpg,,,,,,,,,, +大基荸荠,Eleocharis kamtschatica,周根生等,45,19810908,黑龙江省,,水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911675.jpg,,,,,,,,,, +无刚毛荸荠,Eleocharis kamtschatica,K.Yashiro,4597,19910505,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01459906.jpg,,,,,,,,,, +大基荸荠,Eleocharis kamtschatica,W.Y.Hsia,1912,19300620,河北省,,wet placa,,有花有果,https://image.cvh.ac.cn/files/l/PE/00026597.jpg,,,,,,,,,, +刘氏荸荠,Eleocharis liouana,陈耀东等,337,19820811,青海省,2816,沼泽水中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01911672.jpg,,,,,,,,,, +刘氏荸荠,Eleocharis liouana,青藏队,1970,19810708,云南省,2800,水塘中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01191127.jpg,,,,,,,,,, +刘氏荸荠,Eleocharis liouana,亚吉东,丁艳蓉,李桂花,14CS9224,20140531,云南,1727,湖泊浅水区,,,https://image.cvh.ac.cn/files/l/KUN/1398435.jpg,,,,,,,,,, +南方荸荠,Eleocharis meridionalis,邱爱军,张玲,LiZJ1877,20100906,新疆,1483,湿地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1398444.jpg,,,,,,,,,, +南方荸荠,Eleocharis meridionalis,李秉义、张盍曾,30,19670722,青海省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/33732.jpg,,,,,,,,,, +南方荸荠,Eleocharis meridionalis,,生746,63.07.09,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00054016.jpg,,,,,,,,,, +,Eleocharis ovata,云南省林业学校,,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911726.jpg,,,,,,,,,, +,Eleocharis ovata,Richard R.Halse,5247,19970704,,69,"just outside the boundary on the east side of the wetland in a wet,vernal area",,有花无果,https://image.cvh.ac.cn/files/l/PE/01911699.jpg,,,,,,,,,, +,Eleocharis palustris,刘媖心等,134,19730527,新疆维吾尔自治区,1270,淡浅水,,有花无果,https://image.cvh.ac.cn/files/l/PE/02024775.jpg,,,,,,,,,, +,Eleocharis palustris,赖书坤,2794,19630626,江西省,150,山地黄壤山脚水田中草地阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02024761.jpg,,,,,,,,,, +,Eleocharis palustris,,,,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02024607.jpg,,,,,,,,,, +,Eleocharis penchaoi,"Li Zhenyu,Jin Xiaohua,Tu Yanli etc.",T063,20160912,西藏自治区,2900,temperate alpine region,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02233083.jpg,,,,,,,,,, +本兆荸荠,Eleocharis penchaoi,陈跃东 仉瑞生,359,19820821,青海省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0219540.jpg,,,,,,,,,, +,Eleocharis quinqueflora,PE西藏考察队,7543,20180619,西藏自治区,4374,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331967.jpg,,,,,,,,,, +,Eleocharis quinqueflora,"Laaksonen,Kyosti",946,19600711,,300,In flood meadows.,,有花无果,https://image.cvh.ac.cn/files/l/PE/01938200.jpg,,,,,,,,,, +,Eleocharis quinqueflora,"近田文弘,郎楷永",532,19870911,新疆维吾尔自治区,1350,水边湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01236426.jpg,,,,,,,,,, +单鳞苞荸荠,Eleocharis uniglumis,秦仁昌,1534,19560808,新疆维吾尔自治区,2000,谷底 水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230036.jpg,,,,,,,,,, +单鳞苞荸荠,Eleocharis uniglumis,"汤宗孝,田效文,张正华",561,19810710,云南省,3260,亚高山 草甸草场 草库伦,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780074.jpg,,,,,,,,,, +单鳞苞荸荠,Eleocharis uniglumis,Erik Asplund.,s.n.,19260623,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01722230.jpg,,,,,,,,,, +牛毛毡,Eleocharis yokoscensis,孔冬梅,k0129,20140614,山西省,1507,阴湿草 石缝坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043395.jpg,,,,,,,,,, +牛毛毡,Eleocharis yokoscensis,,707,19750724,浙江省,,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02024938.jpg,,,,,,,,,, +牛毛毡,Eleocharis yokoscensis,谭世鑫,9,20040825,贵州省,950,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02024780.jpg,,,,,,,,,, +云南荸荠,Eleocharis yunnanensis,780植被组,653,19781127,云南省,1800,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01447879.jpg,,,,,,,,,, +云南荸荠,Eleocharis yunnanensis,郭永杰,亚吉东,苏勇,14CS9443,20140725,云南,3330,湿地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1398469.jpg,,,,,,,,,, +牛筋草,Eleusine indica,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T221,20160916,西藏自治区,1100,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02233085.jpg,,,,,,,,,, +牛筋草,Eleusine indica,David D.Taylor,7972,19840912,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109829.jpg,,,,,,,,,, +牛筋草,Eleusine indica,李光照,14388,19941027,广西壮族自治区,185,田间,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089724.jpg,,,,,,,,,, +,Eleutherococcus cissifolius,"D.E.Boufford,with Y.Jia",36415,20060814,四川省,3100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01924612.jpg,,,,,,,,,, +,Eleutherococcus cissifolius,D.E.Boufford et al.,32354,20040814,西藏自治区,3650~3730,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923513.jpg,,,,,,,,,, +,Eleutherococcus cissifolius,,394947,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00745213.jpg,,,,,,,,,, +,Eleutherococcus giraldii,D.E.Boufford et al.,38722,20070730,四川省,3400~3450,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01932268.jpg,,,,,,,,,, +,Eleutherococcus giraldii,孙学刚等,20010484,20010821,甘肃省,2550,沟谷灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802080.jpg,,,,,,,,,, +,Eleutherococcus giraldii,"陕甘区,崔友文",10801,19531005,陕西省,1340,丘陵 山坡北灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710391.jpg,,,,,,,,,, +,Eleutherococcus lasiogyne,李馨,71953,19570920,四川省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710371.jpg,,,,,,,,,, +,Eleutherococcus lasiogyne,"朱官政,李馨",75815,19570804,重庆市,2100,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710369.jpg,,,,,,,,,, +,Eleutherococcus leucorrhizus,"张树仁,陈淑荣,朗校安等",1868,20140613,四川省,1400~1600,山坡 林下 沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021392.jpg,,,,,,,,,, +,Eleutherococcus leucorrhizus,"李良千,王忠涛,杜玉芬,卫然",290,20110914,甘肃省,1841,山谷山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914095.jpg,,,,,,,,,, +,Eleutherococcus leucorrhizus var. fulvescens,"李良千,王忠涛,杜玉芬,卫然",143,20110908,甘肃省,2614,山坡沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914096.jpg,,,,,,,,,, +,Eleutherococcus leucorrhizus var. fulvescens,T.T.Yu,3427,19340716,四川省,2100,Among thicket,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710339.jpg,,,,,,,,,, +,Eleutherococcus leucorrhizus var. fulvescens,,472,19870724,湖南省,1200,山沟路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597796.jpg,,,,,,,,,, +,Eleutherococcus senticosus,李才贵,264,19840830,山西省,1930,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02081501.jpg,,,,,,,,,, +,Eleutherococcus senticosus,石硕,SZ3601,20140719,河北省,1075,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02031576.jpg,,,,,,,,,, +,Eleutherococcus senticosus,"田景全,董保华",10009,19650907,辽宁省,,山谷 阴处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839327.jpg,,,,,,,,,, +三叶五加,Eleutherococcus trifoliatus,刘恩德等,249,20030901,云南省,2400,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920124.jpg,,,,,,,,,, +三叶五加,Eleutherococcus trifoliatus,PE-古蔺考察队,1175,20100910,四川省,1000,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01864583.jpg,,,,,,,,,, +三叶五加,Eleutherococcus trifoliatus,刘正宇,180924,20070930,重庆市,250,溪边灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01849734.jpg,,,,,,,,,, +,Eleutherococcus verticillatus,,2184,19740819,西藏自治区,3400,冷杉林下No302,,无花有果,https://image.cvh.ac.cn/files/l/PE/00918996.jpg,,,,,,,,,, +轮伞五加,Eleutherococcus verticillatus,J.J.Tang,,19890731,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2014313.jpg,,,,,,,,,, +,Eleutherococcus wilsonii,孔冬梅,k0469,20140725,山西省,2083,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035399.jpg,,,,,,,,,, +,Eleutherococcus wilsonii,"张秀实,任有铣",6925,19580829,四川省,3200,林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01710365.jpg,,,,,,,,,, +,Eleutherococcus wilsonii,"关克俭,戴天伦",1213,19600718,河南省,2100,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01710353.jpg,,,,,,,,,, +幌菊,Ellisiophyllum pinnatum,红水河植物考察队,388,19890423,广西壮族自治区,1600,阔叶林下,散荫,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010016.jpg,,,,,,,,,, +幌菊,Ellisiophyllum pinnatum,"税玉民,陈文红,张美德等",64725,20060821,云南省,2380,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882078.jpg,,,,,,,,,, +幌菊,Ellisiophyllum pinnatum,王作宾,14340,19510714,甘肃省,2500,田边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01671987.jpg,,,,,,,,,, +四方蒿,Elsholtzia blanda,谭世鑫,27,20040908,贵州省,940,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01930069.jpg,,,,,,,,,, +四方蒿,Elsholtzia blanda,,5642,19740807,四川省,2900,灌丛中路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671920.jpg,,,,,,,,,, +四方蒿,Elsholtzia blanda,,8079,19600413,云南省,1100,山坡阳处灌木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671921.jpg,,,,,,,,,, +头花香薷,Elsholtzia capituligera,D.E.Boufford & B.Bartholomew et.al.,41154,20090726,西藏自治区,3210~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101856.jpg,,,,,,,,,, +头花香薷,Elsholtzia capituligera,"杨亲二,袁琼",Yangqe2531,20080909,云南省,,峡谷岸坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010210.jpg,,,,,,,,,, +小头花香薷,Elsholtzia cephalantha,Harry Smith,31137,19220711,四川省,4100,alpins operto,,有花无果,https://image.cvh.ac.cn/files/l/PE/00825773.jpg,,,,,,,,,, +小头花香薷,Elsholtzia cephalantha,陈晓澄等,Chenxc-147,20170828,西藏,3771,河滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018599.jpg,,,,,,,,,, +,Elsholtzia ciliata var. ciliata,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1014,20021108,云南省,2520,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111158.jpg,,,,,,,,,, +,Elsholtzia ciliata var. ciliata,罗林波,1114,19951028,湖南省,1720,荒山路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671938.jpg,,,,,,,,,, +香薷(原变种),Elsholtzia ciliata var. ciliata,谢登峰、成瑞渝,2027713,20190921,四川,4749,,,有花有果,https://image.cvh.ac.cn/files/l/SZ/02027713.jpg,,,,,,,,,, +香薷重圆齿变种,Elsholtzia ciliata var. duplicato-crenata,俞德俊,10414,19370924,云南省,2600,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00825917.jpg,,,,,,,,,, +野草香,Elsholtzia cyprianii var. cyprianii,凌云普查队,4.51E+14,20120816,广西壮族自治区,1192,阔叶林,林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI055551.jpg,,,,,,,,,, +野香草(原变种),Elsholtzia cyprianii var. cyprianii,张桥蓉,余华,李国辉,ZhangYH183,20200104,贵州,1183,石灰岩灌丛中,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1488882.jpg,,,,,,,,,, +密花香薷,Elsholtzia densa,PE西藏队,PE6797,20170917,西藏自治区,3971,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02331005.jpg,,,,,,,,,, +密花香薷,Elsholtzia densa,"洪德元,潘开玉,徐超,刘彬彬",3265,20170831,四川省,3254,Roadsides,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328539.jpg,,,,,,,,,, +密花香薷,Elsholtzia densa,何叶琪,3620,19590630,甘肃省,2200,滩地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115499.jpg,,,,,,,,,, +绒毛,Elsholtzia eriocalyx var. tomentosa,赵佐成,4207,19931021,四川省,2050,阳处地边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010254.jpg,,,,,,,,,, +绵萼香斋绒毛变种,Elsholtzia eriocalyx var. tomentosa,T. T. Yu(俞德浚),14406,19371001,四川,3100,丛林边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0223075.jpg,,,,,,,,,, +毛穗香薷,Elsholtzia eriostachya,PE西藏考察队,7967,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331817.jpg,,,,,,,,,, +毛穗香薷,Elsholtzia eriostachya,"高天刚,聂宝",GTG8369,20151004,,4292,高山干旱山坡,砂质,,有花无果,https://image.cvh.ac.cn/files/l/PE/02286475.jpg,,,,,,,,,, +高原香薷,Elsholtzia feddei,PE西藏队,PE6754,20170916,西藏自治区,3013,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331040.jpg,,,,,,,,,, +高原香薷,Elsholtzia feddei,FLPH Sichuan Expedition,152857,20150912,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02284594.jpg,,,,,,,,,, +黄花香薷,Elsholtzia flava,"川西队,关克俭,王文采等",2611,19630824,四川省,1200,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092597.jpg,,,,,,,,,, +黄花香薷,Elsholtzia flava,陈又生等,673,20111118,西藏自治区,2000,山谷林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011058.jpg,,,,,,,,,, +鸡骨柴长穗变型,Elsholtzia fruticosa var. fruticosa,H.W.Kung,3647,19330914,陕西省,1400,hill base,shrub,有花无果,https://image.cvh.ac.cn/files/l/PE/00031071.jpg,,,,,,,,,, +鸡骨柴(原变种),Elsholtzia fruticosa var. fruticosa,刘慎谔,14357,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0587425.jpg,,,,,,,,,, +鸡骨柴(原变种),Elsholtzia fruticosa var. fruticosa,杨宗汉,86330,19861122,云南省,0~1500,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0566653.jpg,,,,,,,,,, +光叶,Elsholtzia fruticosa var. glabrifolia,"李渤生,程树志",1045,19820924,西藏自治区,2250,林边草地常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00922902.jpg,,,,,,,,,, +光叶,Elsholtzia fruticosa var. glabrifolia,李馨,73356,19570804,四川省,2550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00741041.jpg,,,,,,,,,, +光叶,Elsholtzia fruticosa var. glabrifolia,K.M.Feng,8923,,云南省,2800~300,山坡上多,,有花无果,https://image.cvh.ac.cn/files/l/PE/00741008.jpg,,,,,,,,,, +光香薷,Elsholtzia glabra,鄂神农架队,21695,19760813,湖北省,900,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01021782.jpg,,,,,,,,,, +光香薷,Elsholtzia glabra,俞德俊,1606,19320000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00741094.jpg,,,,,,,,,, +光香薷,Elsholtzia glabra,刘慎谔,21759,19461018,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00741093.jpg,,,,,,,,,, +淡黄香狨,Elsholtzia luteola,,2157,19730718,四川省,4650,草甸灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671914.jpg,,,,,,,,,, +淡黄香狨,Elsholtzia luteola,George Forrest,11145,19130900,云南省,3333~3667,Dry stony situations amongst scrub,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106347.jpg,,,,,,,,,, +鼠尾香薷,Elsholtzia myosurus,中甸队,1129,19620824,云南省,3100,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671984.jpg,,,,,,,,,, +鼠尾香薷,Elsholtzia myosurus,,W-16,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01581303.jpg,,,,,,,,,, +,Elsholtzia ochroleuca,杨衔晋,3944,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00741210.jpg,,,,,,,,,, +黄白香薷,Elsholtzia ochroleuca,,7505,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00741188.jpg,,,,,,,,,, +长毛襄薷,Elsholtzia pilosa,C.W.Wang,66741,19351000,云南省,2500,in ravine grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079483.jpg,,,,,,,,,, +长毛襄薷,Elsholtzia pilosa,赵佐成,3782,19931018,四川省,2200,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02020686.jpg,,,,,,,,,, +长毛襄薷,Elsholtzia pilosa,FLPH Tibet Expedition,12-1192,,西藏自治区,,路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020685.jpg,,,,,,,,,, +矮香薷,Elsholtzia pygmaea,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191292,20190916,云南,3279,亚热带针叶林,草地上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1483463.jpg,,,,,,,,,, +矮香薷,Elsholtzia pygmaea,W.P.Fang,5325,19301002,四川省,2800,,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00221694.jpg,,,,,,,,,, +矮香薷,Elsholtzia pygmaea,W.P.Fang,9587,19301107,云南省,3200,,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00221695.jpg,,,,,,,,,, +野拔子,Elsholtzia rugulosa,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",45,20020811,云南省,2550,次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111154.jpg,,,,,,,,,, +野拔子,Elsholtzia rugulosa,J.I.Jeon et al.,SI1247,20100809,四川省,1446,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917933.jpg,,,,,,,,,, +野拔子,Elsholtzia rugulosa,雷友峰,76,20041208,贵州省,1150,山坡林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917448.jpg,,,,,,,,,, +川滇香薷,Elsholtzia souliei,"H.Li,S.X.Yang,R.Li etc.",766,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091388.jpg,,,,,,,,,, +川滇香薷,Elsholtzia souliei,赵佐成,3797,19931018,四川省,2000,阳处路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020673.jpg,,,,,,,,,, +川滇香薷,Elsholtzia souliei,,海518,19720719,北京市,8,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00922799.jpg,,,,,,,,,, +穗状香薷,Elsholtzia stachyodes,张寿洲等,910,20130925,四川省,,土生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990412.jpg,,,,,,,,,, +穗状香薷,Elsholtzia stachyodes,王映明,6927,19881019,湖北省,1050,山脚 草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01343135.jpg,,,,,,,,,, +球穗香薷,Elsholtzia strobilifera,PE西藏队,PE5795,20170903,西藏自治区,3401,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331075.jpg,,,,,,,,,, +球穗香薷,Elsholtzia strobilifera,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",657,20021103,云南省,2530,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101586.jpg,,,,,,,,,, +黑紫披碱草,Elymus atratus,汤宗孝等,118,19930728,四川省,3500,沼泽,,无花无果,https://image.cvh.ac.cn/files/l/PE/01951863.jpg,,,,,,,,,, +黑紫披碱草,Elymus atratus,"清水建美,近田文弘等",107,19910721,新疆维吾尔自治区,2500,放牧地 尾根,,有花无果,https://image.cvh.ac.cn/files/l/PE/01470061.jpg,,,,,,,,,, +硬穗披碱草,Elymus barystachyus,王为义等,27629,19830808,青海省,3300,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/105391.jpg,,,,,,,,,, +硬穗披碱草,Elymus barystachyus,张发起;高庆波;迟晓峰;刑睿;贾留坤;夏铭泽,QXA0239,20170827,青海,3000,温带荒漠草地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1481033.jpg,,,,,,,,,, +短芒披碱草,Elymus breviaristatus,汤宗孝等,682,19930808,四川省,3200,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01951850.jpg,,,,,,,,,, +短芒披碱草,Elymus breviaristatus,青藏队植被组,9385,19760802,西藏自治区,3800,阶地坡上(阳坡),,有花无果,https://image.cvh.ac.cn/files/l/PE/01484037.jpg,,,,,,,,,, +披碱草(原变种),Elymus dahuricus var. dahuricus,张相宜,李子宣,郭泳棂,LZX-Z-00-07-004,20210525,四川,1770,路边,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02064762.jpg,,,,,,,,,, +青紫披碱草,Elymus dahuricus var. violeus,"于兆英,徐养鹏",2880,1982/7/28,甘肃,2400,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0435641.jpg,,,,,,,,,, +肥披碱草,Elymus excelsus,"刘,赵",474,19930910,山西省,800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01850452.jpg,,,,,,,,,, +肥披碱草,Elymus excelsus,全彩奎,22,19560000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01664859.jpg,,,,,,,,,, +垂穗披碱草,Elymus nutans,王素平,272,19930711,甘肃省,3400,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088918.jpg,,,,,,,,,, +垂穗披碱草,Elymus nutans,杨永昌,1222,19650720,青海省,4500,石隙处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075538.jpg,,,,,,,,,, +垂穗披碱草,Elymus nutans,"李渤生,郑度,张百平",10280,19870629,新疆维吾尔自治区,2300,河谷湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072280.jpg,,,,,,,,,, +老芒麦,Elymus sibiricus,C. S. Chang et al.,SI0923,20100701,四川省,1637,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01896645.jpg,,,,,,,,,, +老芒麦,Elymus sibiricus,巴山采集队,829,20080706,重庆市,1259,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851027.jpg,,,,,,,,,, +老芒麦,Elymus sibiricus,刘学忠,199,19550713,北京市,,草地 平原 栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01829424.jpg,,,,,,,,,, +麦 草,Elymus tangutorum,李国玄,88,19650901,甘肃省,2500,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088917.jpg,,,,,,,,,, +麦 草,Elymus tangutorum,于兆英,2283,19810905,内蒙古自治区,2600,草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950954.jpg,,,,,,,,,, +麦 草,Elymus tangutorum,PE西藏队,PE6053,20170906,西藏自治区,2935,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891399.jpg,,,,,,,,,, +光穗曲芒鹅观草,Elymus tschimganicus var. glabrispiculus,刘全儒,ALT.395,20140801,新疆,4126,荒漠,草,,https://image.cvh.ac.cn/files/l/BNU/0028689.jpg,,,,,,,,,, +毛披碱草,Elymus villifer,付坤俊,12656,1960/6/27,陕西省,1700,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0361428.jpg,,,,,,,,,, +毛披碱草,Elymus villifer,黄土队(晋),1121,1983/7/13,山西,1400,,直立、草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0446729.jpg,,,,,,,,,, +毛披碱草,Elymus villifer,不祥,1342,19590703,山西省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0212918.jpg,,,,,,,,,, +玉树披碱草,Elymus yushuensis,李淑娟、李长慧,13,20140820,青海省,3016,阴坡,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00012686.jpg,,,,,,,,,, +墨脱大苞鞘花,Elytranthe parasitica,"李渤生,倪志诚,程树志",4831,19830510,西藏自治区,1650,常绿阔叶林下常见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491286.jpg,,,,,,,,,, +墨脱大苞鞘花,Elytranthe parasitica,C.E.Ridsdale,161,19760617,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0364315.jpg,,,,,,,,,, +,Elytrigia alatavica,"李渤生,杜泽泉,张百平",11359,19870904,新疆维吾尔自治区,3800~3900,山坡 岩壁上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01295414.jpg,,,,,,,,,, +毛稃堰麦草,Elytrigia alatavica,不祥,335,19810725,,3000,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0212904.jpg,,,,,,,,,, +,Elytrigia repens subsp. longearistata,林651六小组,34,19630711,新疆维吾尔自治区,1205,草木,,有花有果,https://image.cvh.ac.cn/files/l/PE/00489947.jpg,,,,,,,,,, +,Elytrigia repens subsp. longearistata,山丹军马场,019a,19760826,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00489946.jpg,,,,,,,,,, +芒偃麦草,Elytrigia repens subsp. longearistata,黄文娟,段黄金等,LiZJ0353,20080906,新疆,3218,麦田中,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401756.jpg,,,,,,,,,, +多花酸藤子,Embelia floribunda,刘恩德等,3629,20120325,云南省,2057,upon thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026060.jpg,,,,,,,,,, +多花酸藤子,Embelia floribunda,"李渤生,程树志",11124,19800716,西藏自治区,1200,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01908111.jpg,,,,,,,,,, +多花酸藤子,Embelia floribunda,B.Barhtolomew et D.E.Boufford,3941,19860406,,1780,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01618848.jpg,,,,,,,,,, +皱叶酸藤子,Embelia gamblei,"李渤生,程树志等",234,19820818,西藏自治区,2200~2400,常绿阔叶林中大乔木,,无花有果,https://image.cvh.ac.cn/files/l/PE/01908124.jpg,,,,,,,,,, +皱叶酸藤子,Embelia gamblei,780植被组,173,19781104,云南省,2700,常绿林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01486217.jpg,,,,,,,,,, +当归藤,Embelia parviflora,中苏队,5106,19570223,云南省,1300,山坡密林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091072.jpg,,,,,,,,,, +当归藤,Embelia parviflora,,23,19730900,广西壮族自治区,600,砂无岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/02008640.jpg,,,,,,,,,, +,Embelia procumbens,税玉民,910,19921028,云南省,1500,山坡密林岩石表面,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883135.jpg,,,,,,,,,, +,Embelia procumbens,白水江考察队,1247,20060706,甘肃省,1200,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01358958.jpg,,,,,,,,,, +白花酸藤果,Embelia ribes,"张志耘,谢磊等",2016-167,20151210,广西壮族自治区,655,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115374.jpg,,,,,,,,,, +白花酸藤果,Embelia ribes,"张寿洲,李良千等人",5065,20051216,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101825.jpg,,,,,,,,,, +平叶酸藤子,Embelia undulata,"张志耘,谢磊等",2016-119,20151208,广西壮族自治区,390,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115934.jpg,,,,,,,,,, +平叶酸藤子,Embelia undulata,马玖,181,20090117,云南省,575,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01934301.jpg,,,,,,,,,, +平叶酸藤子,Embelia undulata,叶华谷,6854,20020226,广东省,0~200,山地、山谷,藤本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0715623.jpg,,,,,,,,,, +密齿酸藤子,Embelia vestita,"张志耘,谢磊,张强",2015-257,20150509,广西壮族自治区,400,valley road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048184.jpg,,,,,,,,,, +密齿酸藤子,Embelia vestita,"李渤生,程树志",2833,19830209,西藏自治区,2200,常绿阔叶林中常见灌木,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908114.jpg,,,,,,,,,, +爪哇黄杞,Engelhardtia aceriflora,王启无,82648,19400000,云南省 ,0,,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0442537.jpg,,,,,,,,,, +爪哇黄杞,Engelhardtia aceriflora,武全安,146,19621205,云南省,1600,小河边沟边,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0442574.jpg,,,,,,,,,, +毛叶黄杞,Engelhardtia colebrookiana,昆明工作站,164/21,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0417789.jpg,,,,,,,,,, +毛叶黄杞,Engelhardtia colebrookiana,尹文清,756,19570416,云南省,1820,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0417800.jpg,,,,,,,,,, +毛叶黄杞,Engelhardtia colebrookiana,贵州队,1526,19600414,贵州省,800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0417758.jpg,,,,,,,,,, +云南黄杞,Engelhardtia spicata,H.T.Tsai,56354,19330301,云南省 ,1750,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0418376.jpg,,,,,,,,,, +云南黄杞,Engelhardtia spicata,冯国楣,20241,19550412,云南省,600,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0418384.jpg,,,,,,,,,, +灯笼树,Enkianthus chinensis,"朱大海,苏小镔",856,20020816,四川省,2450,山脊林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115940.jpg,,,,,,,,,, +灯笼树,Enkianthus chinensis,广西队,759,19530600,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111194.jpg,,,,,,,,,, +灯笼树,Enkianthus chinensis,江西队,1058,19540908,江西省,1700,水旁山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02111191.jpg,,,,,,,,,, +,Enkianthus deflexus var. variegatus,"Cavalerie, Pierre Julien",2300,13-Apr-05,,,,,,https://image.cvh.ac.cn/files/l/E/E00327174.jpg,,,,,,,,,, +,Enneapogon brachystachyus,孔令韶等,39,19840724,内蒙古自治区,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805097.jpg,,,,,,,,,, +,Enneapogon brachystachyus,,161,19240901,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01665033.jpg,,,,,,,,,, +九顶草,Enneapogon brachystachyus,张挺,蔡杰等,SCSB-B-000455,20070912,四川,2434,金沙江干暖河谷,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401762.jpg,,,,,,,,,, +象腿蕉,Ensete glaucum,,, ,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00085684.jpg,,,,,,,,,, +象腿蕉,Ensete glaucum,刘成、字海荣、赵金超,14CS8416,20140329,云南,1457,农地田梗上,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1390735.jpg,,,,,,,,,, +象腿蕉,Ensete glaucum,税玉民,陈文红,13906,20001025,云南省,1000~1300,in the second forest,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0334130.jpg,,,,,,,,,, +榼藤,Entada phaseoloides,"李渤生,程树志",1538,19821029,西藏自治区,1400~1600,常绿阔叶林内藤本植物,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074730.jpg,,,,,,,,,, +榼藤,Entada phaseoloides,,龙Q21(4)发,19660400,广西壮族自治区,400,石灰岩山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01965707.jpg,,,,,,,,,, +榼藤,Entada phaseoloides,H.Ohashi et al.,5137,,海南省,600~700,Climbing on tree at edge of evergreen forest,,无花无果,https://image.cvh.ac.cn/files/l/PE/01629771.jpg,,,,,,,,,, +木贼麻黄,Ephedra equisetina,黄河队,6854,19560519,陕西省,1100,昴顶路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02082605.jpg,,,,,,,,,, +木贼麻黄,Ephedra equisetina,"Hang Sun,Tao Deng,Sergey Volis etc.",17011,20140506,,1660~1787,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066827.jpg,,,,,,,,,, +木贼麻黄,Ephedra equisetina,"王文中,田景全,秦绍英",940,19560904,山西省,1700,南山坡 峻 阳处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01812457.jpg,,,,,,,,,, +山岭麻黄,Ephedra gerardiana,西藏队,1635,19610719,西藏自治区,4600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02060011.jpg,,,,,,,,,, +山岭麻黄,Ephedra gerardiana,青藏队,5411,19810827,四川省,4100,山沟 Lauix 林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01057044.jpg,,,,,,,,,, +中麻黄,Ephedra intermedia,白龙江考察队,1918,19990605,甘肃省,2000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01561038.jpg,,,,,,,,,, +中麻黄,Ephedra intermedia,克然木,10,19930426,新疆维吾尔自治区,,麻黄定植区,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458135.jpg,,,,,,,,,, +中麻黄,Ephedra intermedia,"王金亭,武田义明",129,19860418,西藏自治区,3300,河谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01377077.jpg,,,,,,,,,, +丽江麻黄,Ephedra likiangensis,青藏队,12263,19830722,四川省,4000,山坡灌丛草地岩石缝,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820446.jpg,,,,,,,,,, +丽江麻黄,Ephedra likiangensis,D.E.Boufford et al.,29764,20000728,西藏自治区,3940,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579782.jpg,,,,,,,,,, +丽江麻黄,Ephedra likiangensis,北京所横断山队,3279,19810818,云南省,4300~4400,高山流石滩下部,,无花无果,https://image.cvh.ac.cn/files/l/PE/01518869.jpg,,,,,,,,,, +矮麻黄,Ephedra minuta,陈又生等,444,20111112,西藏自治区,3330~3500,湿草甸或林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967586.jpg,,,,,,,,,, +矮麻黄,Ephedra minuta,郭柯,4,19900526,青海省,4300,北坡洪积扇,,无花无果,https://image.cvh.ac.cn/files/l/PE/01469056.jpg,,,,,,,,,, +矮麻黄,Ephedra minuta,杨永,99-5-13-2,19990513,内蒙古自治区,1300,石质山坡半山腰石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00053660.jpg,,,,,,,,,, +单子麻黄,Ephedra monosperma,"张新时,郭柯",天山-521,19860813,新疆维吾尔自治区,2430,亚高山草甸草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097444.jpg,,,,,,,,,, +单子麻黄,Ephedra monosperma,郭柯,K-139,19900725,青海省,5050~5180,冰碛物上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060140.jpg,,,,,,,,,, +膜果麻黄,Ephedra przewalskii,柴达木盆地调查队,61,19550622,新疆维吾尔自治区,2750,平原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082377.jpg,,,,,,,,,, +膜果麻黄,Ephedra przewalskii,夏振岱,90011,19900615,甘肃省,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604993.jpg,,,,,,,,,, +膜果麻黄,Ephedra przewalskii,"李世英,王庆瑞,黄大乐",46,19550614,青海省,2740,河滩,,无花无果,https://image.cvh.ac.cn/files/l/PE/01552115.jpg,,,,,,,,,, +藏麻黄,Ephedra saxatilis,青藏队,14009,19830913,四川省,4300,山坡岩石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820537.jpg,,,,,,,,,, +藏麻黄,Ephedra saxatilis,"王金亭,武田义明",77,19860331,西藏自治区,3500,阳坡 灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01377074.jpg,,,,,,,,,, +草麻黄,Ephedra sinica,陈全胜,CF11-4205,20180702,内蒙古自治区,681,石质山地草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247222.jpg,,,,,,,,,, +草麻黄,Ephedra sinica,黄河队,7606,19560727,陕西省,,山坡阳处,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082603.jpg,,,,,,,,,, +草麻黄,Ephedra sinica,黄河队,4067,19560524,甘肃省,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02082602.jpg,,,,,,,,,, +宽叶厚唇兰,Epigeneium amplum,"S.K.Wu,Y.M.Shui,Y.P.Yang etc.",450,19951016,云南省,1700~1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033600.jpg,,,,,,,,,, +宽叶厚唇兰,Epigeneium amplum,金效华,86,20000507,贵州省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820765.jpg,,,,,,,,,, +景东厚唇兰,Epigeneium fuscescens,P.J.Chau K.C.Luo Y.B.Qin et al,ASBK213,19970428,广西壮族自治区,1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097497.jpg,,,,,,,,,, +景东厚唇兰,Epigeneium fuscescens,Jin Xiaohua,11844,20111101,云南省,1800~2300,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033175.jpg,,,,,,,,,, +景东厚唇兰,Epigeneium fuscescens,"李渤生,程树志",1363,19821026,西藏自治区,1800~1900,常绿阔叶林间灌丛下时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00338125.jpg,,,,,,,,,, +双叶厚唇兰,Epigeneium rotundatum,金效华,8098,20060325,云南省,1907,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825170.jpg,,,,,,,,,, +双叶厚唇兰,Epigeneium rotundatum,青藏队,74-4447,19740820,西藏自治区,1750,山坡阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01517026.jpg,,,,,,,,,, +长爪厚唇兰,Epigeneium treutleri,李剑武,4468,20151030,云南,2000,常绿阔叶林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028985.jpg,,,,,,,,,, +长爪厚唇兰,Epigeneium treutleri,金效华,李剑武,王喜龙,王程旺,19093,20171109,西藏,2003,半常绿阔叶林,附生植物,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030512.jpg,,,,,,,,,, +,Epilobium amurense subsp. amurense,D.E.Boufford et al.,35339,20060726,云南省,3050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925433.jpg,,,,,,,,,, +,Epilobium amurense subsp. amurense,D.E.Boufford et al.,31669,20040803,西藏自治区,3940~3950,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01925502.jpg,,,,,,,,,, +,Epilobium amurense subsp. amurense,D.E.Boufford et al.,35538,20060731,四川省,3010,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01924463.jpg,,,,,,,,,, +光滑柳叶菜,Epilobium amurense subsp. cephalostigma,巴山采集队,1934,20080720,重庆市,1934,山谷溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057273.jpg,,,,,,,,,, +光滑柳叶菜,Epilobium amurense subsp. cephalostigma,北京队,894802,19890504,广西壮族自治区,1100,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991587.jpg,,,,,,,,,, +光滑柳叶菜,Epilobium amurense subsp. cephalostigma,Koji Yonekura et al.,16757,20090904,,170,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01969631.jpg,,,,,,,,,, +长柱柳叶菜,Epilobium blinii,中国科学植物研究所昆明工作站,170,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01115576.jpg,,,,,,,,,, +长柱柳叶菜,Epilobium blinii,李光照,16495,19971020,广西壮族自治区,1200,山谷草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01115565.jpg,,,,,,,,,, +长柱柳叶菜,Epilobium blinii,,10414,19380621,湖南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01115558.jpg,,,,,,,,,, +,Epilobium brevifolium subsp. brevifolium,"程树志,李渤生",1420,19821005,西藏自治区,2000,林缘 路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495802.jpg,,,,,,,,,, +,Epilobium brevifolium subsp. brevifolium,K.K.Tsoong,2489,19190109,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01115580.jpg,,,,,,,,,, +圆柱柳叶菜,Epilobium cylindricum,PE西藏队,PE5463,20170831,西藏自治区,3792,路边山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02333599.jpg,,,,,,,,,, +圆柱柳叶菜,Epilobium cylindricum,"陈伟烈,陈家瑞,郭柯,闰建平",7066,19840701,四川省,3400,坡麓灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060171.jpg,,,,,,,,,, +圆柱柳叶菜,Epilobium cylindricum,巴山采集队,2361,20080726,重庆市,2177,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057275.jpg,,,,,,,,,, +,Epilobium fangii,"王金亭,武田义明",611,19860522,四川省,2000~2150,沟谷山坡,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377633.jpg,,,,,,,,,, +多枝柳叶菜,Epilobium fastigiatoramosum,,409,19730825,内蒙古自治区,,山间宽谷地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01600437.jpg,,,,,,,,,, +多枝柳叶菜,Epilobium fastigiatoramosum,段俊喜,562,19560715,河北省,1840,山谷 阳坡 陡 灌木草地 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01471771.jpg,,,,,,,,,, +多枝柳叶菜,Epilobium fastigiatoramosum,"王文中,田景全,秦绍英",1079,19560920,山西省,1700,山坡(北缓)灌木丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01471770.jpg,,,,,,,,,, +鳞根柳叶菜,Epilobium gouldii,"李渤生,李辉",13179,19900828,西藏自治区,2100~2400,乔松林下湿地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01364851.jpg,,,,,,,,,, +鳞根柳叶菜,Epilobium gouldii,怒江考察队,991,19780712,云南省,2200,阔叶林边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0482618.jpg,,,,,,,,,, +鳞根柳叶菜,Epilobium gouldii,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201214,20200724,西藏,2256,河边荒地上,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1505733.jpg,,,,,,,,,, +柳叶菜,Epilobium hirsutum,"川西队,关克俭,王文采等",2963,19630906,四川省,2100,山谷河边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092490.jpg,,,,,,,,,, +柳叶菜,Epilobium hirsutum,黄河队,7396,19560716,陕西省,,沟底水边,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082177.jpg,,,,,,,,,, +锐齿柳叶菜,Epilobium kermodei,巴山采集队,2030,20080719,重庆市,2203,山脊,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057272.jpg,,,,,,,,,, +锐齿柳叶菜,Epilobium kermodei,北京队,892496,19890510,广西壮族自治区,1100,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991590.jpg,,,,,,,,,, +锐齿柳叶菜,Epilobium kermodei,陈伟烈等,8846,19840808,四川省,3200,冷云杉林林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01804215.jpg,,,,,,,,,, +矮生柳叶菜,Epilobium kingdonii,青藏队,2593,19740917,西藏自治区,,山谷草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01141488.jpg,,,,,,,,,, +,Epilobium kingdonii,孔航辉,任琛,YangQE2852,20091007,云南,3889,草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1247183.jpg,,,,,,,,,, +细籽柳叶菜,Epilobium minutiflorum,"郭柯,郑度",12802,19900830,新疆维吾尔自治区,2800,冰碛物上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045186.jpg,,,,,,,,,, +细籽柳叶菜,Epilobium minutiflorum,Harry Smith,6226,19240709,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01152146.jpg,,,,,,,,,, +细籽柳叶菜,Epilobium minutiflorum,,s.n.,19500811,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01141618.jpg,,,,,,,,,, +沼生柳叶菜,Epilobium palustre,黄河队,5981,19560830,甘肃省,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082179.jpg,,,,,,,,,, +沼生柳叶菜,Epilobium palustre,黄河队,968,19540830,陕西省,1130,山谷阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081932.jpg,,,,,,,,,, +沼生柳叶菜,Epilobium palustre,"陈伟烈,陈家瑞,郭柯等",8854,19840808,四川省,3200,冷云杉林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048881.jpg,,,,,,,,,, +硬毛柳叶菜,Epilobium pannosum,刘慎谔,20664,19460714,云南省,,山沟内,,无花无果,https://image.cvh.ac.cn/files/l/PE/01141938.jpg,,,,,,,,,, +硬毛柳叶菜,Epilobium pannosum,,14330,19760925,四川省,1800,常绿落叶阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01141921.jpg,,,,,,,,,, +阔柱柳叶菜,Epilobium platystigmatosum,"溥发鼎,曹亚玲",11331,19880721,重庆市,1500~1610,杂灌木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084014.jpg,,,,,,,,,, +阔柱柳叶菜,Epilobium platystigmatosum,C.S.Chang et al.,SI1100,20100703,四川省,2202,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01924406.jpg,,,,,,,,,, +阔柱柳叶菜,Epilobium platystigmatosum,"李良千,王忠涛,杜玉芬,卫然",194,20110911,甘肃省,2100~2245,山坡沟边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01914305.jpg,,,,,,,,,, +短梗柳叶菜,Epilobium royleanum,张寿洲等,940,20130925,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990442.jpg,,,,,,,,,, +短梗柳叶菜,Epilobium royleanum,D.E.Boufford et al.,32378,20040814,西藏自治区,3650~3730,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01925494.jpg,,,,,,,,,, +鳞片柳叶菜,Epilobium sikkimense,"陈伟烈,陈家瑞,郭柯,闰建平",7368,19840706,四川省,3200,马路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060170.jpg,,,,,,,,,, +鳞片柳叶菜,Epilobium sikkimense,D.E.Boufford et al.,35131,20060722,云南省,4100~4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925434.jpg,,,,,,,,,, +鳞片柳叶菜,Epilobium sikkimense,D.E.Boufford et al.,30127,20040817,西藏自治区,4500~4600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01925499.jpg,,,,,,,,,, +中华柳叶菜,Epilobium sinense,巴山采集队,2229,20080720,重庆市,1460,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057277.jpg,,,,,,,,,, +中华柳叶菜,Epilobium sinense,龙茹等,90815002,20090815,湖北省,1270,林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01989522.jpg,,,,,,,,,, +中华柳叶菜,Epilobium sinense,张树仁等,2149,20140621,四川省,1801~1900,路边 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918887.jpg,,,,,,,,,, +亚革质柳叶菜,Epilobium subcoriaceum,陈伟烈等,8314,19840722,四川省,2900,山坡下部草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804210.jpg,,,,,,,,,, +亚革质柳叶菜,Epilobium subcoriaceum,赵裕辛,22070,19391009,云南省,,草坝,,无花无果,https://image.cvh.ac.cn/files/l/PE/01152626.jpg,,,,,,,,,, +光籽柳叶菜,Epilobium tibetanum,PE西藏队,PE5710,20170903,西藏自治区,1683~2900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333608.jpg,,,,,,,,,, +光籽柳叶菜,Epilobium tibetanum,"陈伟烈,陈家瑞,郭柯等",6643,19840621,四川省,2850,江边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048912.jpg,,,,,,,,,, +滇藏柳叶菜,Epilobium wallichianum,PE西藏队,PE5192,20170826,西藏自治区,4270,林下灌层,,有花有果,https://image.cvh.ac.cn/files/l/PE/02333600.jpg,,,,,,,,,, +滇藏柳叶菜,Epilobium wallichianum,"陈伟烈,陈家瑞,郭柯等",8321,19840722,四川省,3100,云杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048612.jpg,,,,,,,,,, +埋鳞柳叶菜,Epilobium williamsii,PE西藏队,PE5586,20170901,西藏自治区,4235,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02333606.jpg,,,,,,,,,, +埋鳞柳叶菜,Epilobium williamsii,"陈伟烈,陈家瑞,郭柯等",6589,19840620,四川省,4210,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048911.jpg,,,,,,,,,, +淫羊藿,Epimedium brevicornu,孔冬梅,k0273,20140707,山西省,1513,悬崖,,有花有果,https://image.cvh.ac.cn/files/l/PE/02039641.jpg,,,,,,,,,, +淫羊藿,Epimedium brevicornu,,9509,19950901,青海省,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839921.jpg,,,,,,,,,, +宝兴淫羊藿,Epimedium davidii,,s.n.,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839945.jpg,,,,,,,,,, +宝兴淫羊藿,Epimedium davidii,C.Pei,7174,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01839942.jpg,,,,,,,,,, +宝兴淫羊藿,Epimedium davidii,,94251,,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01839934.jpg,,,,,,,,,, +茂汶淫羊藿,Epimedium platypetalum,吕居娴等,E84052,19840508,陕西省,1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839920.jpg,,,,,,,,,, +茂汶淫羊藿,Epimedium platypetalum,"陈善墉,等",5210,19580613,四川省,,,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00314773.jpg,,,,,,,,,, +,Epipactis helleborine,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T111,20160914,西藏自治区,3176,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233103.jpg,,,,,,,,,, +,Epipactis helleborine,黄河队,220,19540628,甘肃省,1460,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230340.jpg,,,,,,,,,, +,Epipactis helleborine,"杨亲二,袁琼",Yangqe2266,20080818,云南省,2800,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230335.jpg,,,,,,,,,, +,Epipactis humilior,"李渤生,程树志",6171,19830807,西藏自治区,2900,河滩草甸中时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00805708.jpg,,,,,,,,,, +,Epipactis humilior,胡君、王东超、李丽、唐露,SC-a-060-B23,20180725,贵州,2381,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0290119.jpg,,,,,,,,,, +,Epipactis humilior,胡君、李丽、吴宏蓉、唐双磊、薛金瑞、党喜军,SC-a-103-B11,20190727,云南,2338,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0290112.jpg,,,,,,,,,, +大叶火烧兰,Epipactis mairei,Jin Weitao,13416,20120706,云南省,1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233117.jpg,,,,,,,,,, +大叶火烧兰,Epipactis mairei,戴天伦,101325,19580720,陕西省,1900,草坪中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230338.jpg,,,,,,,,,, +大叶火烧兰,Epipactis mairei,戴天伦,105276,19580000,重庆市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230252.jpg,,,,,,,,,, +,Epipactis veratrifolia,Xiaohua Jin et Zhanghai Li,16377,20150814,云南省,1200~1400,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233026.jpg,,,,,,,,,, +,Epipactis veratrifolia,"Handel-Mazzetti, H.F.von",479,1914/3/9,,,,,,https://image.cvh.ac.cn/files/l/P/P00301683.jpg,,,,,,,,,, +裂唇虎舌兰,Epipogium aphyllum,山西队,978,19560905,山西省,2450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911586.jpg,,,,,,,,,, +裂唇虎舌兰,Epipogium aphyllum,康藏植物考察队,10-3068,20100831,云南省,3500,腐生于落叶中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866695.jpg,,,,,,,,,, +裂唇虎舌兰,Epipogium aphyllum,金效华,9200,20070821,四川省,4236,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825174.jpg,,,,,,,,,, +虎舌兰,Epipogium roseum,金效华,8976,20070514,云南省,1951,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825177.jpg,,,,,,,,,, +虎舌兰,Epipogium roseum,F.Melville,213,19590801,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01634346.jpg,,,,,,,,,, +虎舌兰,Epipogium roseum,Luo Yi-bo,719,20010904,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01451917.jpg,,,,,,,,,, +鼠妇草,Eragrostis atrovirens,Shui Yumin et al.,12040,19991009,云南省,1000,barren slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929668.jpg,,,,,,,,,, +鼠妇草,Eragrostis atrovirens,深圳考察队,414,19961100,广东省,450,road side near village,,有花无果,https://image.cvh.ac.cn/files/l/PE/01401559.jpg,,,,,,,,,, +,Eragrostis brownii,Shiu Ying Hu,11731,19720328,香港,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00719814.jpg,,,,,,,,,, +,Eragrostis brownii,武考队,2451,19811011,福建省,150,河滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/00719805.jpg,,,,,,,,,, +弯叶画眉草,Eragrostis curvula,秦仁昌,3832,19561010,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307954.jpg,,,,,,,,,, +弯叶画眉草,Eragrostis curvula,D.A.Halford,QM948,20140215,,,roadside opposite water treatment plant gravelly gravelly mound beside road regularly mown,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230484.jpg,,,,,,,,,, +弯叶画眉草,Eragrostis curvula,植物园,619,19530820,北京市,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851930.jpg,,,,,,,,,, +知风草,Eragrostis ferruginea,"简名玮,崔祖锡,梁慧舟",72,20030813,台湾省,1390,"Grassland,on mountain slope.At roadside, on flat ground, exposed,moist,abundant.",,有花无果,https://image.cvh.ac.cn/files/l/PE/02089901.jpg,,,,,,,,,, +知风草,Eragrostis ferruginea,Taku Miyazaki,N409029,20040930,,249,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089679.jpg,,,,,,,,,, +知风草,Eragrostis ferruginea,郭成勇,20064-308-8,20060817,山东省,250,路边荒地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089526.jpg,,,,,,,,,, +乱草,Eragrostis japonica,杨国祯,P10,19991031,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088688.jpg,,,,,,,,,, +乱草,Eragrostis japonica,张红,1634,20051005,广西壮族自治区,650,草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01905132.jpg,,,,,,,,,, +,Eragrostis ludingensis,,51,19820915,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01432413.jpg,,,,,,,,,, +,Eragrostis ludingensis,中国科学院广东合浦区植物调查队,2566,19560507,广西壮族自治区,15,平地草地路旁阴处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01432391.jpg,,,,,,,,,, +小画眉草,Eragrostis minor,周口店考察队,248,20080928,北京市,148,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112061.jpg,,,,,,,,,, +小画眉草,Eragrostis minor,老铁山采集队,307,20080710,辽宁省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089633.jpg,,,,,,,,,, +小画眉草,Eragrostis minor,A. Trojecka-Brzezinska,EE1133,20090805,,,railway track,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088836.jpg,,,,,,,,,, +黑穗画眉草,Eragrostis nigra,"H.Li,S.X.Yang,R.Li etc.",1210,20021113,云南省,2480,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109676.jpg,,,,,,,,,, +黑穗画眉草,Eragrostis nigra,"S.Noshiro,Y.Omori,Y.Ibaragi etc.",20700039,20070226,,2140,at open sunny place,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089177.jpg,,,,,,,,,, +黑穗画眉草,Eragrostis nigra,川黔队,1728,19561012,贵州省,1600,山坡 阳 草地 灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049095.jpg,,,,,,,,,, +,Eragrostis nutans,"Peng hua,Liu Yanchun and et al.",32,20070701,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089271.jpg,,,,,,,,,, +,Eragrostis nutans,C.L.Huang & C.M.Wang,38,20020526,福建省,20,open place,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088975.jpg,,,,,,,,,, +,Eragrostis nutans,中越考察队,2103,19650209,,160,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01665321.jpg,,,,,,,,,, +画眉草,Eragrostis pilosa,陈全胜,CF-0008-221,20170825,内蒙古自治区,696,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246399.jpg,,,,,,,,,, +画眉草,Eragrostis pilosa,"H.Li,S.X.Yang,R.Li etc.",1137,20021111,云南省,2530,林(中)下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109563.jpg,,,,,,,,,, +画眉草,Eragrostis pilosa,黄河队,8319,19560827,陕西省,1900,涧地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094602.jpg,,,,,,,,,, +牛虱草,Eragrostis unioloides,萧百中,4896,20051024,湖南省,500,山麓 红壤,光:阴,湿度,湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766769.jpg,,,,,,,,,, +牛虱草,Eragrostis unioloides,Tetsuo Koyama,13453,19680324,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01665457.jpg,,,,,,,,,, +牛虱草,Eragrostis unioloides,刘标,4916,20050514,广西壮族自治区,550,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01645772.jpg,,,,,,,,,, +浅裂菟葵,Eranthis lobulata,G.Schaller,38,19810400,四川省,2500,clearing in birch forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00397615.jpg,,,,,,,,,, +浅裂菟葵,Eranthis lobulata,印开蒲,YKP2019427,20190427,四川,2746,峨眉冷杉林下,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0246273.jpg,,,,,,,,,, +东方旱麦草,Eremopyrum orientale,,M17,19600517,新疆维吾尔自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01951859.jpg,,,,,,,,,, +东方旱麦草,Eremopyrum orientale,刘准,124,19590511,北京市,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01951857.jpg,,,,,,,,,, +绿叶,Eremostachys speciosa,"李渤生,郑度,张百明",10081,19870619,新疆维吾尔自治区,2900,荒漠荒原沟中 湿地常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345354.jpg,,,,,,,,,, +美丽沙穗,Eremostachys speciosa,新疆采集队,1767,1978/7/29,新疆维吾尔族自治区,3200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0336524.jpg,,,,,,,,,, +独尾草,Eremurus chinensis,"冯正波,朱大海,李小杰",4139,20070727,四川省,3140,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089654.jpg,,,,,,,,,, +独尾草,Eremurus chinensis,金效华,SET-ET 120,20090813,云南省,2228,Lancang River dry-hot valley,,无花有果,https://image.cvh.ac.cn/files/l/PE/01944117.jpg,,,,,,,,,, +独尾草,Eremurus chinensis,白水江采集队,4866,20070514,甘肃省,1200,山坡干旱地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823332.jpg,,,,,,,,,, +白花毛兰,Eria alba,科考队,1502A,19740624,西藏自治区,2080,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/88914.jpg,,,,,,,,,, +匍茎毛兰,Eria clausa,金效华,10861,20110423,云南省,1540,subtropical evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033046.jpg,,,,,,,,,, +匍茎毛兰,Eria clausa,金效华,537,20000900,贵州省,1100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01820855.jpg,,,,,,,,,, +匍茎毛兰,Eria clausa,Luo Yi-bo,375,20000821,广西壮族自治区,1300,山坡 林下 岩石上或枯树干上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01644040.jpg,,,,,,,,,, +足茎毛兰,Eria coronaria,Shui Yimin et al.,10773,19990910,云南省,1980~2020,on stone on tree trunk,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033145.jpg,,,,,,,,,, +足茎毛兰,Eria coronaria,东兴,7,19731021,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01997713.jpg,,,,,,,,,, +足茎毛兰,Eria coronaria,王崇杰,14414,19981015,西藏自治区,1200~3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866611.jpg,,,,,,,,,, +香港毛兰,Eria gagnepainii,Yu Shengxiang,4227,20101116,云南省,1100,under evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01914678.jpg,,,,,,,,,, +香港毛兰,Eria gagnepainii,金效华,8912,20070302,海南省,676,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825182.jpg,,,,,,,,,, +,Eria vittata,"李渤生,程树志",2452,19830109,西藏自治区,1600,雅江沟谷东坡 Cahy林下石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517106.jpg,,,,,,,,,, +一年蓬,Erigeron annuus,PE西藏队,PE6338,20170911,西藏自治区,2445,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334082.jpg,,,,,,,,,, +一年蓬,Erigeron annuus,张彩飞,2829,20110709,北京市,70,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247635.jpg,,,,,,,,,, +,Erigeron bonariensis,"石硕,祝东立,祝振清",SZ3854,20140809,河北省,1580,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034736.jpg,,,,,,,,,, +,Erigeron bonariensis,"陈又生,张树仁,于胜祥,卫然",636,20111119,西藏自治区,2000,山谷林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016474.jpg,,,,,,,,,, +,Erigeron bonariensis,A.P.Khokhriakov,s.n.,19920611,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589212.jpg,,,,,,,,,, +短葶飞蓬,Erigeron breviscapus,"H.Li,S.X.Yang,R.Li etc.",475,20020824,云南省,2550,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091325.jpg,,,,,,,,,, +短葶飞蓬,Erigeron breviscapus,北京队,891037,19890509,广西壮族自治区,1200,山顶草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997464.jpg,,,,,,,,,, +短葶飞蓬,Erigeron breviscapus,D.E.Boufford et al.,29714,20000727,西藏自治区,4480~4650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912825.jpg,,,,,,,,,, +,Erigeron canadensis,PE西藏队,PE6783,20170917,西藏自治区,3568,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333989.jpg,,,,,,,,,, +,Erigeron canadensis,秦仁昌,2760,19560906,新疆维吾尔自治区,750,干旱半荒漠 灰钙土的较低湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115231.jpg,,,,,,,,,, +,Erigeron canadensis,W.J.Cody & K.W.Spicer,12368,19620806,,,sand hills,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112664.jpg,,,,,,,,,, +珠峰飞蓬,Erigeron himalajensis,South Tibet Expedition Team(STET),STET2681,20100812,西藏自治区,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234637.jpg,,,,,,,,,, +珠峰飞蓬,Erigeron himalajensis,"郎楷永,李良千,费勇",559,19820707,四川省,2200,南门关沟口 沟中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01536177.jpg,,,,,,,,,, +俅江飞蓬,Erigeron kiukiangensis,青藏队,6023,19810901,四川省,3500,山坡云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111066.jpg,,,,,,,,,, +俅江飞蓬,Erigeron kiukiangensis,青藏队,9889,19820903,云南省,2100,山坡路边灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111064.jpg,,,,,,,,,, +西疆飞蓬,Erigeron krylovii,青藏队,870670,19870722,新疆维吾尔自治区,2800,山坡荒漠化草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830628.jpg,,,,,,,,,, +西疆飞蓬,Erigeron krylovii,,天乌027,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01565069.jpg,,,,,,,,,, +棉毛飞蓬,Erigeron lanuginosus,FLPH Tibet Expedition,12-1615,20120919,西藏自治区,3774,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967441.jpg,,,,,,,,,, +棉毛飞蓬,Erigeron lanuginosus,"李渤生,程树志,倪志诚",5834,19830725,西藏,4400,高山灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824699.jpg,,,,,,,,,, +光山飞蓬,Erigeron leioreades,T.N.Liou,L.3504,19310822,新疆维吾尔自治区,2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00247152.jpg,,,,,,,,,, +光山飞蓬,Erigeron leioreades,闫平,5209,1962.7.3,新疆维吾尔自治区 ,2100,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00041191.jpg,,,,,,,,,, +光山飞蓬,Erigeron leioreades,闫平,5209,1962731,,2100,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20021728.jpg,,,,,,,,,, +白舌飞蓬,Erigeron leucoglossus,"张永田,郞楷永",1356,19650807,西藏自治区,3350,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00247155.jpg,,,,,,,,,, +密叶飞蓬,Erigeron multifolius,"汤宗孝,田效文,孙庆国",102,19820609,四川省,3350,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01776145.jpg,,,,,,,,,, +密叶飞蓬,Erigeron multifolius,Gaoligong Shan Biodiversity Survey,31212,20060818,云南省,3470,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772321.jpg,,,,,,,,,, +密叶飞蓬,Erigeron multifolius,王启无,65887,19350800,西藏自治区,3500,"Meadow;stream side,sandy",,有花无果,https://image.cvh.ac.cn/files/l/PE/00247187.jpg,,,,,,,,,, +多舌飞蓬,Erigeron multiradiatus,PE西藏队,PE6612,20170914,西藏自治区,3934,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334115.jpg,,,,,,,,,, +山地飞蓬,Erigeron oreades,"李安仁,朱家楠",8452,19580923,新疆维吾尔自治区,2850,山坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823865.jpg,,,,,,,,,, +山地飞蓬,Erigeron oreades,陈花林,905,1978.7.8,新疆维吾尔自治区 ,3520,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00041224.jpg,,,,,,,,,, +山地飞蓬,Erigeron oreades,陈花林,905,197878,,3520,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20021761.jpg,,,,,,,,,, +,Erigeron patentisquama,FLPH Tibet Expedition,12-0740,20120909,西藏自治区,3700~3864,山坡锦鸡儿灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967358.jpg,,,,,,,,,, +展苞飞蓬,Erigeron patentisquama,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11835,20161111,西藏,3745,高山碎石坡杜鹃灌丛下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1450653.jpg,,,,,,,,,, +展苞飞蓬,Erigeron patentisquama,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191460,20190923,云南,3742,亚热带针阔混交林,草地上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486462.jpg,,,,,,,,,, +紫苞飞蓬,Erigeron porphyrolepis,倪志诚等,1520,19800906,西藏自治区,4000,冰碛侧碛物土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803822.jpg,,,,,,,,,, +紫苞飞蓬,Erigeron porphyrolepis,钟补求,6959,19520725,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00247451.jpg,,,,,,,,,, +假泽山飞蓬,Erigeron pseudoseravschanicus,李振宇等,12463,20120730,新疆维吾尔自治区,,水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921158.jpg,,,,,,,,,, +,Erigeron pseudotenuicaulis,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-122-B07,20190816,四川,3662,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261656.jpg,,,,,,,,,, +,Erigeron pseudotenuicaulis,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-150-B32,20190825,西藏,4051,灌丛群落,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261668.jpg,,,,,,,,,, +紫茎飞蓬,Erigeron purpurascens,胡文光 何铸,11076,19510901,四川省,,,小草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00247493.jpg,,,,,,,,,, +,Erigeron purpurascens,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-122-B04,20190816,四川,3662,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261655.jpg,,,,,,,,,, +革叶飞蓬,Erigeron schmalhausenii,陈又生,13-2283,20130904,新疆维吾尔自治区,3707,河滩草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919863.jpg,,,,,,,,,, +革叶飞蓬,Erigeron schmalhausenii,V.Pettov A.Vvedensky,7084,19310901,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01672437.jpg,,,,,,,,,, +,Erigeron sumatrensis,陈少卿,12650,19570617,广西壮族自治区,300~650,水旁,山谷,密林,肥土,湿土,少见,散生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00247548.jpg,,,,,,,,,, +,Erigeron sumatrensis,"Lei,C.I.",796,19330630,海南省,,"Fairly common;dry level land,sandy soil,meadow,garden",,有花无果,https://image.cvh.ac.cn/files/l/PE/00247547.jpg,,,,,,,,,, +,Erigeron sumatrensis,Kimiyoshi Nakamura,s.n.,19770804,,2,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00247545.jpg,,,,,,,,,, +,Eriobotrya elliptica,"李渤生,程树志",2490,19830112,西藏自治区,2200,常绿阔叶林中常见乔木,,无花无果,https://image.cvh.ac.cn/files/l/PE/00799365.jpg,,,,,,,,,, +香花枇杷,Eriobotrya fragrans,刘彬彬,2127,20150609,广东省,871,山坡杂木林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069925.jpg,,,,,,,,,, +香花枇杷,Eriobotrya fragrans,"李渤生,李辉,阳艺",13255,19900830,西藏自治区,1900,吉隆河岸边 沟谷处时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01364393.jpg,,,,,,,,,, +香花枇杷,Eriobotrya fragrans,秦仁昌,8074,19281021,广西壮族自治区,833,in wood,,无花无果,https://image.cvh.ac.cn/files/l/PE/00799403.jpg,,,,,,,,,, +窄叶枇杷,Eriobotrya henryi,"钟补勤,匡可任",79,19430416,云南省,1600,岩山保育林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00799435.jpg,,,,,,,,,, +窄叶枇杷,Eriobotrya henryi,Y.Tsiang,4444,19301025,贵州省,,in thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/00799410.jpg,,,,,,,,,, +枇杷,Eriobotrya japonica,"李慧敏,刘彬彬",201819,20180725,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02234040.jpg,,,,,,,,,, +枇杷,Eriobotrya japonica,"川西队,关克俭,王文采等",2396,19630905,四川省,1550,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092806.jpg,,,,,,,,,, +枇杷,Eriobotrya japonica,川黔队,2267,19561025,贵州省,1150,山坡 阳 密林中 灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075653.jpg,,,,,,,,,, +栎叶枇杷,Eriobotrya prinoides,中苏队,7622,19570409,云南省,1050,斜坡阴处沟底密林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090566.jpg,,,,,,,,,, +栎叶枇杷,Eriobotrya prinoides,攀枝花苏铁考察队,559,20100916,四川省,1682,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863555.jpg,,,,,,,,,, +怒江枇杷,Eriobotrya salwinensis,青藏队,8136,19820718,云南省,1900~2000,常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01147728.jpg,,,,,,,,,, +怒江枇杷,Eriobotrya salwinensis,青藏队植被组,4455,19750630,,22~2300,山坡,常绿阔叶林间。,,无花有果,https://image.cvh.ac.cn/files/l/PE/00051919.jpg,,,,,,,,,, +腾越枇杷,Eriobotrya tengyuehensis,青藏队,9040,19820807,云南省,1900,山坡 路边 灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01147731.jpg,,,,,,,,,, +腾越枇杷,Eriobotrya tengyuehensis,,9847,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0299343.jpg,,,,,,,,,, +白药谷精草,Eriocaulon cinereum,刘正宇,181151,20071010,重庆市,250,路旁干稻田中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109450.jpg,,,,,,,,,, +白药谷精草,Eriocaulon cinereum,华南队,1502,19890913,广西壮族自治区,400,山地田野,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109446.jpg,,,,,,,,,, +白药谷精草,Eriocaulon cinereum,植物资源考察队,D1045,19840823,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01950439.jpg,,,,,,,,,, +尼泊尔谷精草,Eriocaulon nepalense,中苏云南联合考察团,2039,19560614,云南省,,阳处草地沼地潮湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01789193.jpg,,,,,,,,,, +尼泊尔谷精草,Eriocaulon nepalense,B.Bartholomew et al.,2356,19861012,贵州省,600,growing in cut-over vegetation on wet seepage area on steep bank above small stream also at margin of rice paddies heads bluish,,无花有果,https://image.cvh.ac.cn/files/l/PE/01789191.jpg,,,,,,,,,, +尼泊尔谷精草,Eriocaulon nepalense,李宏庆,熊申展,桂萍,LiHQ0397,20101019,浙江,865,农田荒地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390717.jpg,,,,,,,,,, +,Eriocaulon pullum,王启无,80970,19361100,云南省,800,woods in water,,无花有果,https://image.cvh.ac.cn/files/l/PE/01789203.jpg,,,,,,,,,, +,Eriocaulon pullum,海南工作队 ,847,19550000,海南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01789202.jpg,,,,,,,,,, +,Eriocaulon rockianum,"Rock, Joseph Francis Charles",10843,1923,,,,,,https://image.cvh.ac.cn/files/l/E/E00026946.jpg,,,,,,,,,, +宽玉谷精草,Eriocaulon rockianum,陈宗莲,63000,19630830,云南,2800,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219238.jpg,,,,,,,,,, +丝叶谷精草,Eriocaulon setaceum,侯宽昭,73376,19350805,海南省,600,水的田中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01789216.jpg,,,,,,,,,, +丝叶谷精草,Eriocaulon setaceum,Shiu Ying Hu,8906,19691125,香港,,on rock of slow flowing stram in bright sun,,无花有果,https://image.cvh.ac.cn/files/l/PE/01789214.jpg,,,,,,,,,, +丝叶谷精草,Eriocaulon setaceum,黄志,42074,19560831,广东省,0,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0635336.jpg,,,,,,,,,, +大药谷精草,Eriocaulon sollyanum,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T207,20160915,西藏自治区,1524,temperate alpine region,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02233087.jpg,,,,,,,,,, +大药谷精草,Eriocaulon sollyanum,罗忠华,刘长铭,李绍昆,鲁成荣,JDNR09076,20091118,云南,2450,中山湿性常绿阔叶林林间湿地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390730.jpg,,,,,,,,,, +越南谷精草,Eriocaulon tonkinense,Seng-X.H.Jin,2019,20011200,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109453.jpg,,,,,,,,,, +越南谷精草,Eriocaulon tonkinense,Shiu Ying Hu,8737,19691111,香港,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01713195.jpg,,,,,,,,,, +紫花裸茎绒果芹,Eriocycla nuda,青藏队植被组,4023,19750618,西藏自治区,3650,?河岸阶地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756017.jpg,,,,,,,,,, +裸茎绒果芹,Eriocycla nuda,"李晖, 文雪梅, 次旺加布, 李发平",Lihui-Q-0012,20080826,西藏,,亚热带山原峡谷荒漠化灌丛草原农田边山坡地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1336211.jpg,,,,,,,,,, +裸茎绒果芹,Eriocycla nuda,王启无,65302,19840522,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00064645.jpg,,,,,,,,,, +丛毛羊胡子草,Eriophorum comosum,"李渤生,程树志",2187,19821214,西藏自治区,1100,江边岩石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098844.jpg,,,,,,,,,, +丛毛羊胡子草,Eriophorum comosum,"川西队,关克俭,王文采等",2584,19630824,四川省,1100,山坡陡岩上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093222.jpg,,,,,,,,,, +丛毛羊胡子草,Eriophorum comosum,王先莲,2144,20030423,贵州省,540,河谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835917.jpg,,,,,,,,,, +细秆羊胡子草,Eriophorum gracile,,10329,19750803,四川省,3400,宽谷底部沼泽,,有花有果,https://image.cvh.ac.cn/files/l/PE/01562934.jpg,,,,,,,,,, +细秆羊胡子草,Eriophorum gracile,野田光藏等,672,19500728,吉林省,900,水甸子,,有花有果,https://image.cvh.ac.cn/files/l/PE/01562931.jpg,,,,,,,,,, +细秆羊胡子草,Eriophorum gracile,,257,19310000,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01562930.jpg,,,,,,,,,, +绵参,Eriophyton wallichii,PE西藏队,PE5943,20170905,西藏自治区,4780,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02331087.jpg,,,,,,,,,, +绵参,Eriophyton wallichii,徐连升,150430,20150905,青海省,4920,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02284625.jpg,,,,,,,,,, +鸡头薯,Eriosema chinense,普查队,4-Feb,19780613,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996656.jpg,,,,,,,,,, +鸡头薯,Eriosema chinense,侯学煜等,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01609890.jpg,,,,,,,,,, +鸡头薯,Eriosema chinense,C.O.Levine,s.n.,19170519,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604417.jpg,,,,,,,,,, +针刺齿缘草,Eritrichium acicularum,钟补求,8947,19580712,青海省,,南向坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01360352.jpg,,,,,,,,,, +针刺齿缘草,Eritrichium acicularum,何业琪,3945,19590709,甘肃省,2450,水沟旁山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029609.jpg,,,,,,,,,, +狭叶齿缘草,Eritrichium angustifolium,西藏中草药普查队,4371,19720823,西藏自治区,,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01360774.jpg,,,,,,,,,, +腋花齿缘草,Eritrichium axillare,"T.N.Ho,B.Bartholomew,M.Watson etc.",3048,19960911,青海省,4300,shallow valley with heavily grazed Kobresia meadow locally eroded bottom of valley with hummocked meadow near stream in disturbed area near road,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110381.jpg,,,,,,,,,, +腋花齿缘草,Eritrichium axillare,陶德定,11265,19760906,西藏自治区,4800,公路边草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029649.jpg,,,,,,,,,, +灰毛齿缘草,Eritrichium canum,青藏队植被组,5072,19750710,西藏自治区,3700,砾石坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518993.jpg,,,,,,,,,, +灰毛齿缘草,Eritrichium canum,S.Noshiro etc.,20104264,20010820,,4010,stony soil slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264688.jpg,,,,,,,,,, +灰毛齿缘草,Eritrichium canum,"邱娟, 冯建菊",LiuJQ0134,20080809,新疆,,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1380668.jpg,,,,,,,,,, +三角德钦齿缘草,Eritrichium deqinense,"D.E.Boufford,J.H.Chen,S.L.Kelley etc.",30909,20040719,四川省,4200~4400,rocky gravelly slopes with patches of Rhododendron forests and rhododendron salix and larix scrub and open places scree slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110421.jpg,,,,,,,,,, +三角德钦齿缘草,Eritrichium deqinense,青藏队,3029,19810714,云南省,4600,山坡陡岩上,草本丛生,有花无果,https://image.cvh.ac.cn/files/l/PE/00029606.jpg,,,,,,,,,, +德钦齿缘草,Eritrichium deqinense,青藏队,3029,19810714,云南,4000,山坡陡岩上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0308896.jpg,,,,,,,,,, +云南齿缘草,Eritrichium echinocaryum,"D.E.Boufford,J.F.Harber & Qia Wang",43178,20130822,四川省,3325,spinescent community with dwarf spiny leaved evergreen at base of slope with many large boulders and adjacent waste area from construction activities openings in disturbed areas,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042958.jpg,,,,,,,,,, +云南齿缘草,Eritrichium echinocaryum,张志和等,4243,19890727,青海省,2700,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01913759.jpg,,,,,,,,,, +云南齿缘草,Eritrichium echinocaryum,王启无,70292,19350900,云南省,2700,Open slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/01338120.jpg,,,,,,,,,, +小灌齿缘草,Eritrichium fruticulosum,青藏队植被组,5072,19750110,西藏自治区,3700,砾石坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519075.jpg,,,,,,,,,, +条叶齿缘草,Eritrichium gracile,青藏队,76-7846,19760620,西藏自治区,4600,山坡流石坡岩石荫处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110782.jpg,,,,,,,,,, +半球齿缘草,Eritrichium hemisphaericum,青藏队,6592,19750806,西藏自治区,5750,彭错拉山口岩屑坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110760.jpg,,,,,,,,,, +半球齿缘草,Eritrichium hemisphaericum,"张永洪, 王晓雄, 周卓, 岳亮亮",SunH-07ZX-0498,20080720,西藏,,高山草甸与高山灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1380670.jpg,,,,,,,,,, +异果齿缘草,Eritrichium heterocarpum,"D.E.Boufford,J.F.Harber & Qia Wang",43139,20130820,云南省,3350,slopes along highway mostly dwarf evergreen Quercus with spinescent shrubs stony soil on slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064720.jpg,,,,,,,,,, +异果齿缘草,Eritrichium heterocarpum,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",64,19930721,青海省,3100~3200,"Steep crumbling mudstone slopes,some rocky outcrops near river",,有花无果,https://image.cvh.ac.cn/files/l/PE/01360778.jpg,,,,,,,,,, +矮齿缘草,Eritrichium humillimum,苟新京,85-125,19830808,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0216073.jpg,,,,,,,,,, +矮齿缘草,Eritrichium humillimum,青藏冻土植物队,17,19750630,西藏自治区,5050,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/54230.jpg,,,,,,,,,, +康定齿缘草,Eritrichium kangdingense,王清泉,20632,1979-7 2,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0119224.jpg,,,,,,,,,, +康定齿缘草,Eritrichium kangdingense,高信芬,鞠文彬,郑臣臣,THP-KD-5933,20170810,四川,3797,冰川砾石堆,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251517.jpg,,,,,,,,,, +毛果齿缘草,Eritrichium lasiocarpum,青藏队植被组,12336,19760824,西藏自治区,5000,石灰岩山石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803176.jpg,,,,,,,,,, +宽叶齿缘草,Eritrichium latifolium,"清水建美,近田文弘等",443,19910731,新疆维吾尔自治区,2400,云杉林间空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467823.jpg,,,,,,,,,, +宽叶齿缘草,Eritrichium latifolium,,770201,19770710,,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01360773.jpg,,,,,,,,,, +疏花齿缘草,Eritrichium laxum,青藏队植被组,5909,19750820,西藏自治区,4700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061262.jpg,,,,,,,,,, +疏花齿缘草,Eritrichium laxum,杨永昌,1129,19650709,青海省,4500,石灰岩洞穴内阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01338137.jpg,,,,,,,,,, +疏花齿缘草,Eritrichium laxum,崔友文,5681,19510913,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01338136.jpg,,,,,,,,,, +,Eritrichium longifolium,中国科学院新疆综合考察队,9895,19590715,新疆维吾尔自治区,,山坡上部北8-10度 细质土 云杉外缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110759.jpg,,,,,,,,,, +长梗齿缘草,Eritrichium longipes,"陈伟烈,陈家瑞,郭柯,闫建平",7107,19840701,四川省,3700,阴坡岩石,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110730.jpg,,,,,,,,,, +长梗齿缘草,Eritrichium longipes,"罗达尚,左振常等",800109,19800620,青海省,3870,山麓林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110731.jpg,,,,,,,,,, +青海齿缘草,Eritrichium medicarpum,"郭本兆,王为义",11468,19750719,青海省,3400,灌木下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110735.jpg,,,,,,,,,, +青海齿缘草,Eritrichium medicarpum,钟补求,8455,1958/7/10,,,,,有花有果,https://image.cvh.ac.cn/files/l/WUK/0100264.jpg,,,,,,,,,, +青海齿缘草,Eritrichium medicarpum,青甘队,1253,1959/8/7,青海,3690,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/169006.jpg,,,,,,,,,, +帕米尔齿缘草,Eritrichium pamiricum,,1490,19780000,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110480.jpg,,,,,,,,,, +篦毛齿缘草,Eritrichium pectinatociliatum,"张永洪, 王晓雄, 周卓, 岳亮亮等",SunH-07ZX-0487,20080720,西藏,,高山草甸与高山灌丛,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1380671.jpg,,,,,,,,,, +篦毛齿缘草,Eritrichium pectinatociliatum,郝加琛,15163,20150711,青海省,4328,河边大石缝,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0040653.jpg,,,,,,,,,, +篦毛齿缘草,Eritrichium pectinatociliatum,,86,19550703,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0040779.jpg,,,,,,,,,, +柔毛齿缘草,Eritrichium petiolare var. villosum,生物研究所西藏考察队,3573,19740723,西藏自治区,4500~5200,北坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110729.jpg,,,,,,,,,, +柔毛齿缘草,Eritrichium petiolare var. villosum,青藏队,76-8036,19760621,西藏,4850,山坡砾石缝,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1218634.jpg,,,,,,,,,, +对叶齿缘草,Eritrichium pseudolatifolium,杨昌友,750528,19750720,新疆维吾尔自治区,3200,石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01338172.jpg,,,,,,,,,, +对叶齿缘草,Eritrichium pseudolatifolium,艾志林,34,1970/8/10,新疆维吾尔族自治区,3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0290916.jpg,,,,,,,,,, +对叶齿缘草,Eritrichium pseudolatifolium,艾志林,34,1970/8/10,新疆,3000,小溪边,潮湿地,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/290916.jpg,,,,,,,,,, +珠峰齿缘草,Eritrichium qofengense,青藏队,76-8664,19760816,西藏自治区,5500,高山草甸岩石阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01338174.jpg,,,,,,,,,, +珠峰齿缘草,Eritrichium qofengense,"徐波, 陈光富, 陈林杨, 董金龙等",SunH-07ZX-0229,20080718,西藏,,高山灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1380673.jpg,,,,,,,,,, +无梗齿缘草,Eritrichium sessilifructum,Anonymous,870868,19870706,新疆维吾尔自治区,2800,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913762.jpg,,,,,,,,,, +匙叶齿缘草,Eritrichium spathulatum,"徐波, 陈光富, 陈林杨, 董金龙等",SunH-07ZX-0306,20080720,西藏,,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1380677.jpg,,,,,,,,,, +匙叶齿缘草,Eritrichium spathulatum,,5150,19580510,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717100519.jpg,,,,,,,,,, +,Eritrichium spathulatum,J.F.Duthie,,18990713,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU047759.jpg,,,,,,,,,, +新疆齿缘草,Eritrichium subjacquemontii,郝加琛,周瑜,16803,20160718,新疆维吾尔自治区,,干旱石缝,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0040671.jpg,,,,,,,,,, +唐古拉齿缘草,Eritrichium tangkulaense,相金祥,2405,19630810,西藏自治区,5100,山坡石隙,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110725.jpg,,,,,,,,,, +唐古拉齿缘草,Eritrichium tangkulaense,郭柯,K-220,19900813,青海省,4800,山地北坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01469066.jpg,,,,,,,,,, +唐古拉齿缘草,Eritrichium tangkulaense,清水建美等,304,19850723,新疆维吾尔自治区,3000~3500,open plane by the roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01360794.jpg,,,,,,,,,, +芹叶?牛儿苗,Erodium cicutarium,PE西藏队,PE6739,20170916,西藏自治区,3568,干山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330401.jpg,,,,,,,,,, +芹叶?牛儿苗,Erodium cicutarium,Richard R.Halse,9651,20160320,,259,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111841.jpg,,,,,,,,,, +牻牛儿苗,Erodium stephanianum,PE西藏队,PE5439,20170831,西藏自治区,3792,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330405.jpg,,,,,,,,,, +牻牛儿苗,Erodium stephanianum,陈全胜,CF-0010-288,20170827,内蒙古自治区,1074,河滩草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246929.jpg,,,,,,,,,, +牻牛儿苗,Erodium stephanianum,周口店考察队,131,20080927,北京市,140,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112084.jpg,,,,,,,,,, +西藏?牛儿苗,Erodium tibetanum,"李渤生,郑度,张百平",11325,19870901,新疆维吾尔自治区,3550,河滩偶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032485.jpg,,,,,,,,,, +西藏?牛儿苗,Erodium tibetanum,"李渤生,郑度,张百平",11067,19870817,西藏自治区,4300,河谷沙地时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032486.jpg,,,,,,,,,, +西藏?牛儿苗,Erodium tibetanum,孔令韶等,17,19840718,内蒙古自治区,,残坡积物干山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01804657.jpg,,,,,,,,,, +,Eruca vesicaria,"郎楷永,李良千,费勇",1827,19820619,四川省,2400,山坡 草地 路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998106.jpg,,,,,,,,,, +芝麻菜,Eruca vesicaria,陈,780696,19780709,新疆维吾尔自治区,2200,旱地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995856.jpg,,,,,,,,,, +,Eruca vesicaria,山西调查队,443,19560531,山西省,1400,草地 阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995696.jpg,,,,,,,,,, +刺芹,Eryngium foetidum,覃海宁 于胜祥 刘博 叶建飞 黄云峰,19352,20080421,广西壮族自治区,,河边空地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112430.jpg,,,,,,,,,, +刺芹,Eryngium foetidum,中苏队,5138,19570224,云南省,1300,公路旁阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100823.jpg,,,,,,,,,, +四川糖芥,Erysimum benthamii,PE西藏考察队,7243,20180614,西藏自治区,4163,河谷坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332830.jpg,,,,,,,,,, +四川糖芥,Erysimum benthamii,,B0161,19570617,甘肃省,2520,阳坡沟旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350625.jpg,,,,,,,,,, +四川糖芥,Erysimum benthamii,张建武,H93084,19930630,新疆维吾尔自治区,1770,森林带草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350624.jpg,,,,,,,,,, +糖芥,Erysimum bungei,"赤峰采集队(孙英宝,刘冰,田佳鹏等)",2-048,20080726,内蒙古自治区,,草甸草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044254.jpg,,,,,,,,,, +糖芥,Erysimum bungei,段长虹,Dch0108,20140605,山西省,1745,黄土高坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039456.jpg,,,,,,,,,, +糖芥,Erysimum bungei,河北中草药普查 张家口队,268,19720609,河北省,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01236181.jpg,,,,,,,,,, +小花糖芥,Erysimum cheiranthoides,老铁山采集队,165,20080504,辽宁省,61,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01898013.jpg,,,,,,,,,, +小花糖芥,Erysimum cheiranthoides,巴山采集队,5093,20110701,四川省,1800,路边林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873281.jpg,,,,,,,,,, +小花糖芥,Erysimum cheiranthoides,,s.n.,19590812,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01765781.jpg,,,,,,,,,, +外折糖芥,Erysimum deflexum,王金亭,3633,19610726,西藏自治区,4600,阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067811.jpg,,,,,,,,,, +外折糖芥,Erysimum deflexum,新疆采集队,1409,19780713,新疆维吾尔自治区,4700,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01054288.jpg,,,,,,,,,, +蒙古糖芥,Erysimum flavum,PE西藏考察队,7005,20180608,西藏自治区,3892,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332192.jpg,,,,,,,,,, +蒙古糖芥,Erysimum flavum,"王战,赵大昌,傅沛云等",1423,19510716,内蒙古自治区,750,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350580.jpg,,,,,,,,,, +蒙古糖芥,Erysimum flavum,H.Krascheninnikov,s.n,19250905,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01054302.jpg,,,,,,,,,, +,Erysimum forrestii,张挺,郭永杰,刘成等,10CS2308,20100808,云南,4159,"Loose, rocky scree, SW-facing slope 45°",多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1235781.jpg,,,,,,,,,, +匍匐糖芥,Erysimum forrestii,中甸队,2050,19620916,云南省,4400,高山,草甸,砂处,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0498461.jpg,,,,,,,,,, +,Erysimum forrestii,"Forrest, George",6518,10-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00083313.jpg,,,,,,,,,, +紫花糖芥,Erysimum funiculosum,PE西藏考察队,8042,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332388.jpg,,,,,,,,,, +紫花糖芥,Erysimum funiculosum,郑度等,12449,19880815,新疆维吾尔自治区,5050,山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01054309.jpg,,,,,,,,,, +紫花糖芥,Erysimum funiculosum,杨永昌,1352,19650802,青海省,4500,河滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01054308.jpg,,,,,,,,,, +无茎糖芥,Erysimum handel-mazzettii,农大,11,19760622,西藏自治区,5000,旱,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995421.jpg,,,,,,,,,, +无茎糖芥,Erysimum handel-mazzettii,张建文,杨斌,陈洪梁,Zh638,20130902,青海省,4950,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1260760.jpg,,,,,,,,,, +无茎糖芥,Erysimum handel-mazzettii,张启泰,俞绍文,508A,19810610,云南省,4290,高山流石滩地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0498496.jpg,,,,,,,,,, +,Erysimum hieraciifolium,崔大方,94342,19940702,新疆维吾尔自治区,1850,天山 山地 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995927.jpg,,,,,,,,,, +山柳叶糖芥,Erysimum hieraciifolium,J.Stepanek,s.n.,Jul-82,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0136872.jpg,,,,,,,,,, +山柳叶糖芥,Erysimum hieraciifolium,杨竞生,90-330,1990-07-,西藏省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0136874.jpg,,,,,,,,,, +波齿糖芥,Erysimum macilentum,王崇书,97,198405,北京市,,野生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998033.jpg,,,,,,,,,, +波齿糖芥,Erysimum macilentum,Peter Fritsch,931,19840423,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995952.jpg,,,,,,,,,, +波齿糖芥,Erysimum macilentum,刘正宇,15720,19960501,重庆市,,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995835.jpg,,,,,,,,,, +红紫糖芥,Erysimum roseum,"郭本兆,王为义",12350,19750902,青海省,4000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01054502.jpg,,,,,,,,,, +红紫糖芥,Erysimum roseum,胡式之,167,19640621,甘肃省,3200,南坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01054499.jpg,,,,,,,,,, +矮糖芥,Erysimum schlagintweitianum,张永田,郎楷永,3831,19660611,西藏自治区,3750,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0498580.jpg,,,,,,,,,, +矮糖芥,Erysimum schlagintweitianum,徐朗然,328,19820701,西藏,4200,山地河谷草甸,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0436196.jpg,,,,,,,,,, +,Erysimum schlagintweitianum,R. Strachey & J. E. Winterbottom,2,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00112019.jpg,,,,,,,,,, +具苞糖芥,Erysimum wardii,PE西藏考察队,7386,20180616,西藏自治区,3934,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332932.jpg,,,,,,,,,, +具苞糖芥,Erysimum wardii,黄楷等,493,19300630,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01054523.jpg,,,,,,,,,, +鹦哥花,Erythrina arborescens,PE西藏队,PE6246,20170910,西藏自治区,2488~3062,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309998.jpg,,,,,,,,,, +鹦哥花,Erythrina arborescens,"川西队,关克俭,王文采等",1580,19630817,四川省,1470,公路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092947.jpg,,,,,,,,,, +,Erythrina stricta,"王启无,刘瑛",89398,19400518,云南省,700,Grove near village,,无花有果,https://image.cvh.ac.cn/files/l/PE/00305256.jpg,,,,,,,,,, +,Erythrina stricta,贵州队,1256,19600424,贵州省,750,山顶路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00305252.jpg,,,,,,,,,, +,Erythrina stricta,郭永杰,聂细转,黄秋月,李昌洪,12CS4869,20120317,云南,1108,公路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1320415.jpg,,,,,,,,,, +赤苍藤,Erythropalum scandens,侯满福,197,20060523,广西壮族自治区,,花岗岩山谷 疏林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229022.jpg,,,,,,,,,, +赤苍藤,Erythropalum scandens,周沛椿,80328,19590725,广东省,,山地,山腰,,无花有果,https://image.cvh.ac.cn/files/l/PE/02113885.jpg,,,,,,,,,, +熊胆草,Eschenbachia blinii,海仙、刘景欣、李红、肖茂荣,HB2007-046,20070929,云南省,2200,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 004255.jpg,,,,,,,,,, +熊胆草,Eschenbachia blinii,张桥蓉,蒋婷,李国辉,王昆仑,ZhangYH148,20191124,云南,2362,灌草丛中,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489092.jpg,,,,,,,,,, +,Eschenbachia japonica,FLPH Sichuan Expedition,151844,20150831,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084281.jpg,,,,,,,,,, +,Eschenbachia japonica,林秦文,2013-239,20130602,云南省,2300,寺庙边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064719.jpg,,,,,,,,,, +,Eschenbachia japonica,"彭华, 向春雷, 陈丽",P.H.5661,20071226,云南,,无,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1444745.jpg,,,,,,,,,, +口盖花蜘蛛兰,Esmeralda bella,吉占和,92-500,19920605,云南省,1750,密林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850254.jpg,,,,,,,,,, +口盖花蜘蛛兰,Esmeralda bella,"李渤生,程树志",2755,19830206,西藏自治区,1600,山坡常绿阔叶林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00338952.jpg,,,,,,,,,, +口盖花蜘蛛兰,Esmeralda bella,税玉民,陈文红等,73133,20071110,云南,1800,沟谷苔藓林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393901.jpg,,,,,,,,,, +杜仲,Eucommia ulmoides,何明友 谭仲明,116909,19830401,四川省,1200,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02095987.jpg,,,,,,,,,, +杜仲,Eucommia ulmoides,巴山采集队,6086,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059366.jpg,,,,,,,,,, +杜仲,Eucommia ulmoides,H.-J.Kim,201123-0064,20110729,,108,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042777.jpg,,,,,,,,,, +,Eulalia hirtifolia,,牧411,19850830,四川省,3200,山原草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00719792.jpg,,,,,,,,,, +银丝金茅,Eulalia mollis,"张永田,郞楷永",822,19650700,西藏自治区,2100,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520482.jpg,,,,,,,,,, +银丝金茅,Eulalia mollis,J.F.Duthie,23074,,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0113623.jpg,,,,,,,,,, +白健秆,Eulalia pallens,川黔队,2081,19561028,贵州省,1150,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049113.jpg,,,,,,,,,, +白健秆,Eulalia pallens,中国科学院西南综考队接壤分队,722,19650911,四川省,2600,草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929869.jpg,,,,,,,,,, +棕茅,Eulalia phaeothrix,,,19761116,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017018.jpg,,,,,,,,,, +棕茅,Eulalia phaeothrix,中国科学院西南综考队川滇黔接壤分队,720,19650911,四川省,2600,坡地土层较浅,,无花无果,https://image.cvh.ac.cn/files/l/PE/01897485.jpg,,,,,,,,,, +棕茅,Eulalia phaeothrix,Tetsuo Koyama et al.,14075,19710302,,2400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01665218.jpg,,,,,,,,,, +四脉金茅,Eulalia quadrinervis,Liu Yanchun,297,20091020,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089461.jpg,,,,,,,,,, +四脉金茅,Eulalia quadrinervis,K.Inami,CBM222875,19580923,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089129.jpg,,,,,,,,,, +,Eulalia siamensis var. siamensis,刘艳春,284,20090822,云南省,,on slope,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221279.jpg,,,,,,,,,, +金茅,Eulalia speciosa,"Liu Yanchun,Paterson David",308,20100821,云南省,2187,on slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089494.jpg,,,,,,,,,, +金茅,Eulalia speciosa,K.Inami,CBM209933,19740929,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089171.jpg,,,,,,,,,, +拟金茅,Eulaliopsis binata,中国科学院西南综考队川滇黔接壤分队,421,19650514,云南省,1470,草坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929858.jpg,,,,,,,,,, +拟金茅,Eulaliopsis binata,汤宗孝等,722,19930808,四川省,3400,山坡灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01681671.jpg,,,,,,,,,, +拟金茅,Eulaliopsis binata,J.F.Moxwell,90-532,19900517,,350,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01665306.jpg,,,,,,,,,, +刺果卫矛,Euonymus acanthocarpus,红水河植物考察队,89-1033,19890507,广西壮族自治区,900,石灰岩山坡灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01999121.jpg,,,,,,,,,, +刺果卫矛,Euonymus acanthocarpus,红水河植物考察队,1902,19890528,云南省,1900,石灰岩山坡灌丛 岩石隙,,无花无果,https://image.cvh.ac.cn/files/l/PE/01999120.jpg,,,,,,,,,, +卫矛,Euonymus alatus,"刘演,于胜祥等",H0147,20030720,广西壮族自治区,500,山坡疏林红壤,,无花有果,https://image.cvh.ac.cn/files/l/PE/02037784.jpg,,,,,,,,,, +卫矛,Euonymus alatus,云台山采集队,156,20080922,河南省,,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02015757.jpg,,,,,,,,,, +卫矛,Euonymus alatus,孔冬梅,k0015,20140412,山西省,1449,油松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015735.jpg,,,,,,,,,, +大理卫矛,Euonymus amygdalifolius,H.T.Tsai,58725,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0266994.jpg,,,,,,,,,, +大理卫矛,Euonymus amygdalifolius,H.T.Tsai,51664,19330125,云南省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0266995.jpg,,,,,,,,,, +藏南卫矛,Euonymus austro-tibetanus,"程树志,李渤生",362,19820822,西藏自治区,2500,铁杉林下偶见灌木,,无花有果,https://image.cvh.ac.cn/files/l/PE/00886250.jpg,,,,,,,,,, +肉花卫矛,Euonymus carnosus,C.M.Wang,W05068,20010725,台湾省,2130,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01924765.jpg,,,,,,,,,, +肉花卫矛,Euonymus carnosus,谭策铭,Tan9611187,19961110,江西省,400,山沟,,无花无果,https://image.cvh.ac.cn/files/l/PE/01924595.jpg,,,,,,,,,, +肉花卫矛,Euonymus carnosus,章绍尧,2659,19580610,浙江省,,山腰杂木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880990.jpg,,,,,,,,,, +带角卫矛,Euonymus ceratophorus,禹平华,990,1957/9/27,云南,1900,,,有花有果,https://image.cvh.ac.cn/files/l/WUK/0195713.jpg,,,,,,,,,, +角翅卫矛,Euonymus cornutus,PE西藏考察队,7464,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332542.jpg,,,,,,,,,, +角翅卫矛,Euonymus cornutus,"万涛,周世良等",1312,20140321,四川省,,疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021058.jpg,,,,,,,,,, +角翅卫矛,Euonymus cornutus,尹志坚等,2101,20090911,云南省,2600,"roadsidea,forest margins",,有花无果,https://image.cvh.ac.cn/files/l/PE/01958271.jpg,,,,,,,,,, +,Euonymus dasydictyon,"朱大海,曹子余,苏小镔",1040,20020918,四川省,2000,山坡中部林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01596710.jpg,,,,,,,,,, +纹果卫矛,Euonymus dasydictyon,,831,19800903,湖南省,1900,,,,https://image.cvh.ac.cn/files/l/IBK/IBK00330830.jpg,,,,,,,,,, +棘刺卫矛,Euonymus echinatus,S.W.Chung,34,19940830,台湾省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983723.jpg,,,,,,,,,, +棘刺卫矛,Euonymus echinatus,青藏队植被组,4845,19750628,西藏自治区,2560,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839783.jpg,,,,,,,,,, +遂叶卫矛,Euonymus fimbriatus,PE西藏考察队,7934,20180626,西藏自治区,3081~3206,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02331643.jpg,,,,,,,,,, +遂叶卫矛,Euonymus fimbriatus,青藏队,11131,19821009,云南省,3300,山坡云杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00797782.jpg,,,,,,,,,, +遂叶卫矛,Euonymus fimbriatus,"H.Kanai,M.Wakabayashi,M.Suzuki",8340213,19830718,,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0415914.jpg,,,,,,,,,, +冷地卫矛(原变种),Euonymus frigidus var. frigidus,蒋兴麟、张秀实,31858,19520731,四川,,林下,,无花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0006472.jpg,,,,,,,,,, +冷地卫矛,Euonymus frigidus var. frigidus,白洪兵、李红,533324180819370LY,20180819,云南,3014,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009117.jpg,,,,,,,,,, +,Euonymus frigidus var. wardii,"李渤生,程树志",1257,19821012,西藏自治区,2250,冷杉林中段常见灌木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077694.jpg,,,,,,,,,, +,Euonymus frigidus var. wardii,北京所横断山队,903,19810629,云南省,,冷杉林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00826376.jpg,,,,,,,,,, +纤齿卫矛,Euonymus giraldii,覃海宁等,132,20010828,四川省,3000,冷杉林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01941045.jpg,,,,,,,,,, +纤齿卫矛,Euonymus giraldii,刘淼等,A100117,20050518,安徽省,1400,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01941043.jpg,,,,,,,,,, +大花卫矛,Euonymus grandiflorus,"李良千,王忠涛,杜玉芬,卫然",237,20110913,甘肃省,1845~2023,林缘沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914085.jpg,,,,,,,,,, +大花卫矛,Euonymus grandiflorus,俞德俊,992,19320000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880981.jpg,,,,,,,,,, +大花卫矛,Euonymus grandiflorus,C.W.WAMG,87874,19400315,云南省,1550,earth hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880979.jpg,,,,,,,,,, +西南卫矛,Euonymus hamiltonianus,红水河植物考察队,1895,19890528,云南省,1900,石灰岩 山坡 灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999153.jpg,,,,,,,,,, +西南卫矛,Euonymus hamiltonianus,红水河植物考察队,1046,19890509,广西壮族自治区,1500,山凹次生杂林边或山沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999149.jpg,,,,,,,,,, +西南卫矛,Euonymus hamiltonianus,张寿洲等,1136,20130927,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01990469.jpg,,,,,,,,,, +疏花卫矛,Euonymus laxiflorus,"张志耘,谢磊,张强",2015-224,20150507,广西壮族自治区,300~580,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064931.jpg,,,,,,,,,, +丽江卫矛,Euonymus lichiangensis,,2749,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00870195.jpg,,,,,,,,,, +丽江卫矛,Euonymus lichiangensis,郭友好,631,19750608,陕西省,1760,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0269384.jpg,,,,,,,,,, +丽江卫矛,Euonymus lichiangensis,王启无,70699,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0269382.jpg,,,,,,,,,, +,Euonymus lucidus,青藏队植被组,3724,19750606,西藏自治区,2400,树林下阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00870200.jpg,,,,,,,,,, +白杜,Euonymus maackii,"刘金鉴,田景全",63,19631010,四川省,1650,寺殿门口,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092119.jpg,,,,,,,,,, +白杜,Euonymus maackii,张志耘等,2015-286,20150601,北京市,90,roadside cult.,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045109.jpg,,,,,,,,,, +白杜,Euonymus maackii,老铁山采集队,12053007,20120530,辽宁省,106,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01924961.jpg,,,,,,,,,, +小果卫矛,Euonymus microcarpus,J.I.Jeon et al.,SI1415,20100811,四川省,3083,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01932326.jpg,,,,,,,,,, +小果卫矛,Euonymus microcarpus,刘淼等,H40068,20050719,河南省,1300,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01068327.jpg,,,,,,,,,, +小果卫矛,Euonymus microcarpus,鄂神农架队,20623,19760702,湖北省,1200,山坡 基岩上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01010941.jpg,,,,,,,,,, +叶上花,Euonymus monbeigii,胡文光,13644,19520918,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00232668.jpg,,,,,,,,,, +石枣子,Euonymus monbeigii,,250,,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM709500446.jpg,,,,,,,,,, +小卫矛,Euonymus nanoides,"王庆瑞,晏民生",10907,19820910,甘肃省,3000,阳坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880995.jpg,,,,,,,,,, +小卫矛,Euonymus nanoides,"李文华,胡勇",349,19810727,云南省,3400,湖旁山坡阴地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880994.jpg,,,,,,,,,, +小卫矛,Euonymus nanoides,杨朝广,1715,19560822,河北省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880993.jpg,,,,,,,,,, +矮卫矛,Euonymus nanus,孙学刚等,6237,20060804,甘肃省,2388,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880996.jpg,,,,,,,,,, +矮卫矛,Euonymus nanus,黄河调查队,5280,19560710,宁夏回族自治区,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00871212.jpg,,,,,,,,,, +,Euonymus phellomanus,孔冬梅,k0239,20140707,山西省,1084,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02040868.jpg,,,,,,,,,, +,Euonymus phellomanus,W.Y. Hsia,6592,19390909,甘肃省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880992.jpg,,,,,,,,,, +,Euonymus phellomanus,侯满福,18842,20050922,四川省,3157,路旁、沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880991.jpg,,,,,,,,,, +椭圆叶卫矛,Euonymus porphyreus var. ellipticus,候喜祥,985,19730621,陕西省,1600,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0285325.jpg,,,,,,,,,, +椭圆叶卫矛,Euonymus porphyreus var. ellipticus,胡志新,3674,19760818,甘肃省,1200,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0285326.jpg,,,,,,,,,, +椭圆叶卫矛,Euonymus porphyreus var. ellipticus,陈彦生、吴振海、黎斌、郭晓思等,577,2004/7/1,重庆市,2100,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0488475.jpg,,,,,,,,,, +,Euonymus sanguineus var. brevipedunculatus,彭玉兰、涂卫国,Gaoxf925,20080831,四川,3200,,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0237392.jpg,,,,,,,,,, +,Euonymus sanguineus var. brevipedunculatus,E. H. Wilson,1308,8-Oct,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00135230.jpg,,,,,,,,,, +,Euonymus sanguineus var. camptoneurus,宋滋圃,3856,19540000,四川省,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0413029.jpg,,,,,,,,,, +,Euonymus sanguineus var. camptoneurus,Ch. Bock & A. v. Rosthorn,1565,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00135231.jpg,,,,,,,,,, +石枣子(原变种),Euonymus sanguineus var. sanguineus,谢登峰、成瑞渝,2027585,20190921,四川,4447,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02027585.jpg,,,,,,,,,, +中亚卫矛,Euonymus semenovii,张会金等,39(2005-3049),20050821,新疆维吾尔自治区,1221,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880947.jpg,,,,,,,,,, +中亚卫矛,Euonymus semenovii,孙学刚等,6444,20060825,甘肃省,2850,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880945.jpg,,,,,,,,,, +中亚卫矛,Euonymus semenovii,吴玉虎等,4320,19860807,青海省,3400,林下山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880943.jpg,,,,,,,,,, +茶叶卫矛,Euonymus theifolius,孙航等,3174,20101006,云南省,2546,On the slope near a river slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922699.jpg,,,,,,,,,, +茶叶卫矛,Euonymus theifolius,B.Bartholomew,1662,19840512,,2440,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01700734.jpg,,,,,,,,,, +茶叶卫矛,Euonymus theifolius,青藏队,6841,19750715,西藏自治区,2100,河谷杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00887384.jpg,,,,,,,,,, +西藏卫矛,Euonymus tibeticus,西藏中草药普查队,3282,19720613,西藏自治区,3050,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839804.jpg,,,,,,,,,, +,Euonymus tibeticus,"罗建, 汪书丽",LiuJQ-08XZ-139,20080730,西藏,,灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1329702.jpg,,,,,,,,,, +,Euonymus tingens,"唐宇丹,林秦文",2010-080,20100917,西藏自治区,2782,南北向沟谷东岸 潮湿 岩石上生长,,无花有果,https://image.cvh.ac.cn/files/l/PE/02040654.jpg,,,,,,,,,, +,Euonymus tingens,"覃海宁,王印政等",1264,19980428,广西壮族自治区,800,山地 山坡 密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998976.jpg,,,,,,,,,, +,Euonymus tingens,北京横断山队,931,19810630,云南省,3200,铁杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880942.jpg,,,,,,,,,, +游藤卫矛,Euonymus vagans,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",990,20021108,云南省,2520,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111306.jpg,,,,,,,,,, +游藤卫矛,Euonymus vagans,Y.Tsiang,11209,19330400,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00887390.jpg,,,,,,,,,, +假瘤卫矛,Euonymus verrucosoides var. apertus,川经阿,381,,四川省,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0413840.jpg,,,,,,,,,, +假瘤卫矛,Euonymus verrucosoides var. apertus,中美联合鄂西植物考察队,1527,19800919,湖北省,1900,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0413830.jpg,,,,,,,,,, +疣点卫矛,Euonymus verrucosoides var. verrucosoides,付竞秋,1957,19581006,河南省,1430,山沟水边,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0413818.jpg,,,,,,,,,, +疣点卫矛,Euonymus verrucosoides var. verrucosoides,张志英,649,19580908,甘肃省,1480,山梁灌木,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0413786.jpg,,,,,,,,,, +疣点卫矛,Euonymus verrucosoides var. verrucosoides,郭本兆,4016,19580927,陕西省,1300,山沟,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0413823.jpg,,,,,,,,,, +小叶疣点卫矛,Euonymus verrucosoides var. viridiflorus,白龙江考察队,1400,19990526,甘肃省,2600,山顶 冷杉林带,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556376.jpg,,,,,,,,,, +小叶疣点卫矛,Euonymus verrucosoides var. viridiflorus,中美联合鄂西考察队,398,19800827,湖北省,1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01010834.jpg,,,,,,,,,, +小叶疣点卫矛,Euonymus verrucosoides var. viridiflorus,"何铸,周子林",12463,19520000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00887596.jpg,,,,,,,,,, +荚迷卫矛,Euonymus viburnoides,"S.K.Wu,Y.M.Shui et al.",666,19951025,云南省,1700~1900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01910814.jpg,,,,,,,,,, +荚迷卫矛,Euonymus viburnoides,黄河调查队,37,19540915,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00887698.jpg,,,,,,,,,, +异叶泽兰,Eupatorium heterophyllum,青藏队,12534,19830728,四川省,2200,沟边灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241322.jpg,,,,,,,,,, +异叶泽兰,Eupatorium heterophyllum,康藏植物考察队,10-2870,20100827,云南省,2800~2900,荒草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053211.jpg,,,,,,,,,, +异叶泽兰,Eupatorium heterophyllum,北京队,896332,19890908,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997453.jpg,,,,,,,,,, +白头婆,Eupatorium japonicum,张彩飞,2139,20091025,浙江省,243,山坡荒杂草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247549.jpg,,,,,,,,,, +白头婆,Eupatorium japonicum,Li Heng et al,27664,20050816,云南省,1170,in loam on granite,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235871.jpg,,,,,,,,,, +白头婆,Eupatorium japonicum,"川西队,关克俭,王文采等",关王77,19630714,四川省,2550,河谷山坡路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091476.jpg,,,,,,,,,, +,Euphorbia altotibetica,郭柯,k-008,19900531,青海省,3800,山间谷地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045214.jpg,,,,,,,,,, +,Euphorbia altotibetica,王金亭,3640,19610728,西藏自治区,4510,湖积平原,,无花有果,https://image.cvh.ac.cn/files/l/PE/02041933.jpg,,,,,,,,,, +长叶大戟,Euphorbia donii,"张挺, 刘成, 亚吉东",18CS17653,20180914,西藏,3009,林缘路边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486540.jpg,,,,,,,,,, +乳浆大戟,Euphorbia esula,陈全胜,CF07-4105,20180627,内蒙古自治区,1451,沙质草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247091.jpg,,,,,,,,,, +乳浆大戟,Euphorbia esula,Gaston Lamarre,1,19540721,,,Sur route I Ascension,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045134.jpg,,,,,,,,,, +乳浆大戟,Euphorbia esula,段长虹,Dch0089,20140605,山西省,1510,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038393.jpg,,,,,,,,,, +,Euphorbia griffithii,PE西藏队,PE5638,20170901,西藏自治区,4556,草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330335.jpg,,,,,,,,,, +,Euphorbia griffithii,"董洪进,赵飞",WM-0464,20160518,云南省,1700~1900,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090318.jpg,,,,,,,,,, +,Euphorbia griffithii,巴山采集队,5833,20120629,四川省,1300~1440,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059965.jpg,,,,,,,,,, +,Euphorbia heishuiensis,白龙江考察队,887,19980727,甘肃省,2100,山地 山谷 疏林 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560637.jpg,,,,,,,,,, +,Euphorbia heishuiensis,黑水组,1162,19590523,四川省,2000,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00929059.jpg,,,,,,,,,, +黑水大戟,Euphorbia heishuiensis,杨容,YR20160720-10,20160720,陕西省,,林下,,,https://image.cvh.ac.cn/files/l/BNU/0027009.jpg,,,,,,,,,, +泽漆,Euphorbia helioscopia,郭成勇,20064-601-2,20060405,山东省,400,田间荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239840.jpg,,,,,,,,,, +泽漆,Euphorbia helioscopia,Hang Sun et al.,17198,20140508,,1300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02063752.jpg,,,,,,,,,, +泽漆,Euphorbia helioscopia,三峡工程植被组,峡00011,19880324,重庆市,100,农田杂草,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028658.jpg,,,,,,,,,, +飞扬草,Euphorbia hirta,"攀枝花苏铁考察队(杨永,莫旭,余志祥等)",278,20100712,四川省,1471,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240288.jpg,,,,,,,,,, +飞扬草,Euphorbia hirta,P.Wit,3099,19750618,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01942469.jpg,,,,,,,,,, +飞扬草,Euphorbia hirta,D.E.Boufford et al.,35035,20060720,云南省,1585,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01923866.jpg,,,,,,,,,, +地锦,Euphorbia humifusa,周口店考察队,154,20080927,北京市,140,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112087.jpg,,,,,,,,,, +地锦,Euphorbia humifusa,"刘金鉴,田景全",298,19631017,四川省,580,潮湿草地上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092574.jpg,,,,,,,,,, +地锦,Euphorbia humifusa,三峡工程植被组,峡0175,19880824,重庆市,,江岸边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028655.jpg,,,,,,,,,, +,Euphorbia hylonoma,张志英,5027,19590618,甘肃省,2060,山谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239841.jpg,,,,,,,,,, +,Euphorbia hylonoma,"张树仁,陈淑荣,朗校安等",1907,20140614,四川省,1600~1900,山坡 林下 路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02014468.jpg,,,,,,,,,, +,Euphorbia hylonoma,,1034,19820714,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850274.jpg,,,,,,,,,, +通奶草,Euphorbia hypericifolia,郭成勇,20062-424-6,20060916,山东省,250,田边荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239843.jpg,,,,,,,,,, +通奶草,Euphorbia hypericifolia,周口店考察队,120,20080927,北京市,140,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112088.jpg,,,,,,,,,, +通奶草,Euphorbia hypericifolia,,80,19630721,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01829597.jpg,,,,,,,,,, +,Euphorbia jolkinii,尹志坚等,H-滇大理-Z2539,20100610,云南省,2000,路边,草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01922702.jpg,,,,,,,,,, +,Euphorbia jolkinii,T.Y.A.Yang & C.C.Yen,11764,19990331,台湾省,50,Trailside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01829558.jpg,,,,,,,,,, +,Euphorbia jolkinii,S.Saito,1506,19270624,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01807251.jpg,,,,,,,,,, +,Euphorbia kansuensis,孙学刚等,2843,20020512,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850251.jpg,,,,,,,,,, +,Euphorbia kansuensis,田效文,1056,19830614,四川省,3700,亚高山草甸草场,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850250.jpg,,,,,,,,,, +,Euphorbia kansuensis,W.Y.Hsia,Hao.3557,19320625,河南省,,Lunghai planting place,,无花无果,https://image.cvh.ac.cn/files/l/PE/01840717.jpg,,,,,,,,,, +,Euphorbia micractina,PE西藏考察队,7797,20180625,西藏自治区,2627,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331653.jpg,,,,,,,,,, +,Euphorbia micractina,生产实习队第三组,68,19570701,甘肃省,2600,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01850248.jpg,,,,,,,,,, +,Euphorbia micractina,"Zhu, Chen, Xu,Wang",1292,19990615,陕西省,2300~2700,forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850247.jpg,,,,,,,,,, +,Euphorbia prolifera,任再金,人3471,19930522,四川省,2500,山坡砂石地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850213.jpg,,,,,,,,,, +,Euphorbia prolifera,汤宗孝,158,19810601,云南省,2250,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01829470.jpg,,,,,,,,,, +,Euphorbia prolifera,广西队,456,19550620,广西壮族自治区,,山地 山坡 灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01315447.jpg,,,,,,,,,, +,Euphorbia pseudosikkimensis,青藏队,6096,19750629,西藏自治区,2400~2600,针阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00947147.jpg,,,,,,,,,, +大戟属,Euphorbia pseudosikkimensis,汪永泽,79226,19790804,西藏,4100,荒地,,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0004189.jpg,,,,,,,,,, +丝果大戟,Euphorbia sericocarpa,贺贤育,21015,19570425,浙江省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0313252.jpg,,,,,,,,,, +丝果大戟,Euphorbia sericocarpa,Schneider,1729,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00035663.jpg,,,,,,,,,, +钩腺大戟,Euphorbia sieboldiana,川黔队,282,19560512,重庆市,350,山 山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083820.jpg,,,,,,,,,, +钩腺大戟,Euphorbia sieboldiana,孔冬梅,k0225,20140707,山西省,649,阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038633.jpg,,,,,,,,,, +钩腺大戟,Euphorbia sieboldiana,Koji Yonekura et al.,16378,20090605,,480~490,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01969635.jpg,,,,,,,,,, +,Euphorbia stracheyi,PE西藏考察队,7637,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331655.jpg,,,,,,,,,, +,Euphorbia stracheyi,J.I.Jeon et al.,SI1341,20100810,四川省,3600,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01924400.jpg,,,,,,,,,, +,Euphorbia stracheyi,洮河调查队,3201,19570523,甘肃省,,山坡,阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840743.jpg,,,,,,,,,, +千根草,Euphorbia thymifolia,李振宇等,11801,20090819,辽宁省,,铁路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063429.jpg,,,,,,,,,, +千根草,Euphorbia thymifolia,李振宇等,11653,20090416,广东省,,路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063406.jpg,,,,,,,,,, +千根草,Euphorbia thymifolia,236-6队,1210,19740904,福建省,,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01829652.jpg,,,,,,,,,, +,Euphorbia tibetica,青藏队植被组,12800,19760612,西藏自治区,4160,砂塘砂质山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01538509.jpg,,,,,,,,,, +,Euphorbia tibetica,李渤生,11667,19880618,新疆维吾尔自治区,2800~2900,水边岩石隙间,,有花有果,https://image.cvh.ac.cn/files/l/PE/00947583.jpg,,,,,,,,,, +,Euphorbia wallichii,PE西藏考察队,7676,20180622,西藏自治区,4991,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332888.jpg,,,,,,,,,, +,Euphorbia wallichii,广西队,4234,19530600,广西壮族自治区,,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850285.jpg,,,,,,,,,, +大花小米草,Euphrasia jaeschkei,PE西藏考察队,7976,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332664.jpg,,,,,,,,,, +大花小米草,Euphrasia jaeschkei,陈晓澄等,6617,20140811,西藏,3359,沼泽,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019646.jpg,,,,,,,,,, +,Euphrasia pectinata subsp. pectinata,"清水建美,近田文弘等",243,19910728,新疆维吾尔自治区,2250,山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467861.jpg,,,,,,,,,, +,Euphrasia pectinata subsp. pectinata,"亚吉东, 张桥蓉, 胡枭剑",16CS12949,20160603,新疆,1204,沟边林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1457226.jpg,,,,,,,,,, +小米草(原亚种),Euphrasia pectinata subsp. pectinata,张相宜、成瑞瑜、郭泳棂,CRY-00-AA-07-024,20200930,四川,3499,灌草丛,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02060543.jpg,,,,,,,,,, +,Euphrasia pectinata subsp. sichuanica,"蒋兴麟,熊济华",36449,19530726,四川省,3080,山坡林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01382121.jpg,,,,,,,,,, +,Euphrasia regelii subsp. regelii,"Rock, Joseph Francis Charles",12246,25-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00284062.jpg,,,,,,,,,, +领春木,Euptelea pleiospermum,何明友 谭仲明,117091,19830510,四川省,1100,常绿阔叶林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02095984.jpg,,,,,,,,,, +领春木,Euptelea pleiospermum,孔冬梅,K0397,20140717,山西省,678,山坡路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02031376.jpg,,,,,,,,,, +尾尖叶柃,Eurya acuminata,Anonymous,28,,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02222180.jpg,,,,,,,,,, +尾尖叶柃,Eurya acuminata,"简焯坡,应俊生,马成功,李雅茹,包士英",400273,19640630,福建省,600,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02222117.jpg,,,,,,,,,, +尾尖叶柃,Eurya acuminata,林叶部,630,19580416,云南省,700,谷旁山坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/02222064.jpg,,,,,,,,,, +云南凹脉柃,Eurya cavinervis,青藏队植被组,3209,19740916,西藏自治区,3100,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01518734.jpg,,,,,,,,,, +云南凹脉柃,Eurya cavinervis,780植被组,556,19781123,云南省,2850,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01486782.jpg,,,,,,,,,, +大果柃,Eurya chuekiangensis,C.W.Wang,67407,19351000,云南省,3000,under forest,bushes shrub,无花有果,https://image.cvh.ac.cn/files/l/PE/01432851.jpg,,,,,,,,,, +大果柃,Eurya chuekiangensis,青藏队,3827,19740731,西藏自治区,3200,山坡冷杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00738212.jpg,,,,,,,,,, +厚叶柃,Eurya crassilimba,,2365,19740905,西藏自治区,2500,铁杉林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/01432042.jpg,,,,,,,,,, +,Eurya crassilimba,刘成,张挺,张书东,13CS6528,20130531,西藏,2660,云杉针叶林林缘路边,小乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321989.jpg,,,,,,,,,, +岗柃,Eurya groffii,"周浙昆,费勇,税玉民等",525,19991025,云南省,1500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02223228.jpg,,,,,,,,,, +岗柃,Eurya groffii,"张兵,向新",90609005,20090609,湖南省,327,沟谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/02223226.jpg,,,,,,,,,, +贡山柃,Eurya gungshanensis,"程树志,李渤生",4771,19830501,西藏自治区,2100,常阔林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495302.jpg,,,,,,,,,, +贡山柃,Eurya gungshanensis,青藏队,9418,19820822,云南省,1500,山坡 次生 林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129040.jpg,,,,,,,,,, +丽江柃,Eurya handel-mazzettii,青藏队植被组,4425,19750628,西藏自治区,2300,山坡 常绿阔叶林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01538435.jpg,,,,,,,,,, +丽江柃,Eurya handel-mazzettii,,s.n.,19660508,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01518726.jpg,,,,,,,,,, +肖樱叶柃,Eurya pseudocerasifera,张经炜,652,19730714,西藏自治区,2200,北坡和河谷两侧常绿阔叶林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01518737.jpg,,,,,,,,,, +肖樱叶柃,Eurya pseudocerasifera,780工程,281,19781111,云南省,2000,林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01479655.jpg,,,,,,,,,, +火棘叶柃,Eurya pyracanthifolia,780工程,178,19781107,云南省,2400,灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01479654.jpg,,,,,,,,,, +,Eurya pyracanthifolia,余新林,赵玮,BSGLGStc210,20130604,云南,2081,中山湿性常绿阔叶林,小乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1322057.jpg,,,,,,,,,, +毛果柃,Eurya trichocarpa,"李渤生,程树志",4091,19830415,西藏自治区,1800,常绿阔叶林下常见小乔,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077301.jpg,,,,,,,,,, +毛果柃,Eurya trichocarpa,"张志耘,谢磊,张强",2015-188,20150506,广西壮族自治区,280,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064714.jpg,,,,,,,,,, +毛果柃,Eurya trichocarpa,"廖国藩,郭志芬等",120,19780921,湖南省,320,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01599614.jpg,,,,,,,,,, +蔡氏柃,Eurya tsaii,"程树志,李渤生",206,19820818,西藏自治区,2500,铁杉林下及常绿阔叶林下常见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01495328.jpg,,,,,,,,,, +蔡氏柃,Eurya tsaii,青藏队,6629,19820521,云南省,2600,山坡 云南松林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129030.jpg,,,,,,,,,, +马氏宽果芥,Eurycarpus marinellii,青藏队,76-9060,19760815,西藏自治区,5600~5700,山坡,流石滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01054565.jpg,,,,,,,,,, +伞花木,Eurycorymbus cavaleriei,红水河植物考察队,891,19890505,广西壮族自治区,900,松栎混交林 石灰岩山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998863.jpg,,,,,,,,,, +伞花木,Eurycorymbus cavaleriei,谭策铭,95449,19950629,江西省,170,引种栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841403.jpg,,,,,,,,,, +野鸦椿,Euscaphis japonica,川经江(59)字,633,19590512,四川省,600,溪边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02227715.jpg,,,,,,,,,, +野鸦椿,Euscaphis japonica,李洪钧,8512,19581104,湖北省,127,老林木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02227712.jpg,,,,,,,,,, +大花山萮菜,Eutrema deltoideum var. grandiflorum,George Forrest,12582,19140000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01054587.jpg,,,,,,,,,, +大花山萮菜,Eutrema deltoideum var. grandiflorum,肖永贤,48181,19560201,四川省,1450,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00171252.jpg,,,,,,,,,, +西北山萮菜,Eutrema edwardsii,胡叔良等,199,19560812,甘肃省,3460,山谷阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995690.jpg,,,,,,,,,, +西北山萮菜,Eutrema edwardsii,小五台队,74155,19740000,河北省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01236195.jpg,,,,,,,,,, +西北山萮菜,Eutrema edwardsii,吉林师大地理系,1733,19620621,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01054598.jpg,,,,,,,,,, +密序山萮菜,Eutrema heterophyllum,PE西藏考察队,8056,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332357.jpg,,,,,,,,,, +密序山萮菜,Eutrema heterophyllum,李话,207,19930711,甘肃省,3300,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604747.jpg,,,,,,,,,, +密序山萮菜,Eutrema heterophyllum,俞德俊,12206,19370717,云南省,3600,grassland region,,有花有果,https://image.cvh.ac.cn/files/l/PE/01054630.jpg,,,,,,,,,, +川滇山萮菜,Eutrema himalaicum,"于胜祥,侯元同,张晓霞",6021,20110826,西藏自治区,,沿途路旁山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981912.jpg,,,,,,,,,, +川滇山萮菜,Eutrema himalaicum,蓝顺彬,528,19850817,云南省,4300,潮湿沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01054634.jpg,,,,,,,,,, +歪叶山萮菜,Eutrema obliquum,区划第三组,91,19810621,青海省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/101626.jpg,,,,,,,,,, +歪叶山萮菜,Eutrema obliquum,方震东,381,20030611,云南,3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008688.jpg,,,,,,,,,, +山萮菜,Eutrema yunnanense,"朱大海,冯正波,张超,王飞",20070659,20070606,四川省,2900,林下 草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995481.jpg,,,,,,,,,, +山萮菜,Eutrema yunnanense,FLPH Tibet Expedition,12-0282,20120907,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911341.jpg,,,,,,,,,, +山萮菜,Eutrema yunnanense,D.E.Boufford et al.,37768,20070519,甘肃省,2320~2725,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814914.jpg,,,,,,,,,, +银丝草,Evolvulus alsinoides var. decumbens,北京队,890525,19890429,广西壮族自治区,350,路边旱生,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009486.jpg,,,,,,,,,, +银丝草,Evolvulus alsinoides var. decumbens,D.Halford,QM322,20110410,,10,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917994.jpg,,,,,,,,,, +银丝草,Evolvulus alsinoides var. decumbens,"Lau,S.K.",507,19320917,海南省,,"Abundant.In dry,sandy soil;level land",,有花无果,https://image.cvh.ac.cn/files/l/PE/01142145.jpg,,,,,,,,,, +马蹄荷,Exbucklandia populnea,"李渤生,程树志",1491,19821026,西藏自治区,1900~2100,常绿阔叶林缘时见-格当,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074510.jpg,,,,,,,,,, +马蹄荷,Exbucklandia populnea,,53713,19631101,广西壮族自治区,900,山地、山腰、密林中、肥土,,无花有果,https://image.cvh.ac.cn/files/l/PE/01965639.jpg,,,,,,,,,, +马蹄荷,Exbucklandia populnea,"S.K.Wu,Y.M.Shui,et al.",733,19951027,云南省,1900~2500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01859977.jpg,,,,,,,,,, +草沉香,Excoecaria acerifolia,"藏东南考察队(金效华,刘冰,权旭等)",SET-ET109,20090813,云南省,2386,Lancang river dry-hot valley,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239897.jpg,,,,,,,,,, +草沉香,Excoecaria acerifolia,王功范,1-0286,20030531,贵州省,550,沟谷密林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239880.jpg,,,,,,,,,, +草沉香,Excoecaria acerifolia,"于胜祥,侯元同,张晓霞,赵以民",4830,20110802,四川省,,沿途路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239779.jpg,,,,,,,,,, +心叶野荞麦,Fagopyrum gilesii,周仕顺,5805,20090516,云南省,2900,山坡流石滩干燥处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869303.jpg,,,,,,,,,, +心叶野荞麦,Fagopyrum gilesii,任再金,1-1562,19820729,西藏自治区,2400,烂沧江边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832402.jpg,,,,,,,,,, +细柄野荞麦,Fagopyrum gracilipes,"H.Li,S.X.Yang,R.Li etc.",384,20020816,云南省,2550,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090441.jpg,,,,,,,,,, +细柄野荞麦,Fagopyrum gracilipes,巴山采集队,6287,20120708,四川省,554~610,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066008.jpg,,,,,,,,,, +细柄野荞麦,Fagopyrum gracilipes,巴山采集队,4257,20100804,陕西省,1200,公路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059452.jpg,,,,,,,,,, +小野荞麦,Fagopyrum leptopodum,税玉民等,64260,20060813,云南省,2185,东北坡岩石边露地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859805.jpg,,,,,,,,,, +小野荞麦,Fagopyrum leptopodum,青藏队,13628,19830904,四川省,2300,山坡灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062846.jpg,,,,,,,,,, +苦荞麦,Fagopyrum tataricum,PE西藏队,PE5321,20170828,西藏自治区,4019,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293829.jpg,,,,,,,,,, +苦荞麦,Fagopyrum tataricum,林秦文,2013-111,20130529,云南省,1600~1750,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039786.jpg,,,,,,,,,, +苦荞麦,Fagopyrum tataricum,段长虹,Dch0505,20140802,山西省,1647,石山缝隙,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035135.jpg,,,,,,,,,, +硬枝野荞麦,Fagopyrum urophyllum,金孝锋,358,20120531,四川省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023073.jpg,,,,,,,,,, +硬枝野荞麦,Fagopyrum urophyllum,"税玉良,陈文红等",64057,20060729,云南省,1960,石灰岩山林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859340.jpg,,,,,,,,,, +,Fagraea ceilanica,高天刚,1442,19980616,云南省,570,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01591782.jpg,,,,,,,,,, +,Fagraea ceilanica,"方鼎,廖信佩",22335,19791019,广西壮族自治区,1130,石灰山山脚林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01545118.jpg,,,,,,,,,, +水青冈,Fagus longipetiolata,"董洪进,王泽欢,尹志坚",WM-0362,20160504,云南省,1800,路边林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089988.jpg,,,,,,,,,, +水青冈,Fagus longipetiolata,"张志耘,谢磊,张强",2015-249,20150509,广西壮族自治区,400,valley road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066732.jpg,,,,,,,,,, +水青冈,Fagus longipetiolata,陈恒彬,1718,19870813,福建省,1250,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873469.jpg,,,,,,,,,, +木藤蓼,Fallopia aubertii,孔冬梅,k0199,20140706,山西省,726,灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02039891.jpg,,,,,,,,,, +木藤蓼,Fallopia aubertii,陈又生等,141122,20140731,内蒙古自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02031093.jpg,,,,,,,,,, +木藤蓼,Fallopia aubertii,Z.Barina,7097,20040827,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900405.jpg,,,,,,,,,, +,Fallopia cynanchoides var. glabriuscula,谢朝俊,42169,19550000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00384218.jpg,,,,,,,,,, +,Fallopia cynanchoides var. glabriuscula,孙航,周浙昆等,486,19921022,西藏自治区,2100,in forest,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0122435.jpg,,,,,,,,,, +何首乌(原变种),Fallopia multiflora var. multiflora,陈波,520424140603008LY,20140603,贵州省,1232.4,野生植物、旱生、阳性、草丛、酸性土、中温,一年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0057859.jpg,,,,,,,,,, +何首乌,Fallopia multiflora var. multiflora,凌云普查队,4.51E+14,20121018,广西壮族自治区,800,阔叶林,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI064351.jpg,,,,,,,,,, +何首乌,Fallopia multiflora var. multiflora,资源县普查队,450329150911011LY,20150911,广西,415,针叶林,林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0171978.jpg,,,,,,,,,, +尖鞘箭竹,Fargesia acuticontracta,海仙、方震东、刘琳、马宗灵,FW2009-018,20090401,云南省,2409,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001597.jpg,,,,,,,,,, +贴毛箭竹,Fargesia adpressa,张宪智,ZXZ11054,20110620,四川省,2564,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252846.jpg,,,,,,,,,, +油竹子,Fargesia angustissima,王雪芹,wxq014,20101210,四川省,1592,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1253066.jpg,,,,,,,,,, +油竹子,Fargesia angustissima,易同培,74450,19740922,四川,,,,,https://image.cvh.ac.cn/files/l/BJM/144142.jpg,,,,,,,,,, +岩斑竹,Fargesia canaliculata,张宪智,ZXZ11052,20110619,四川省,1483,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252847.jpg,,,,,,,,,, +岩斑竹,Fargesia canaliculata,王雪芹,WXQ106,20111210,云南省,2200,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1253550.jpg,,,,,,,,,, +马亨稍竹,Fargesia communis,王雪芹,WXQ060,20111113,云南省,2906,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252923.jpg,,,,,,,,,, +斜倚箭竹,Fargesia declivis,张宪智,ZXZ11026,20110517,云南省,1387,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252860.jpg,,,,,,,,,, +马斯箭竹,Fargesia dura,张玉霄,马朋飞,13062,20131102,云南省,2300,林下,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1248529.jpg,,,,,,,,,, +空心箭竹,Fargesia edulis,王雪芹,WXQ059,20111112,云南省,2820,沟边,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252925.jpg,,,,,,,,,, +牛麻箭竹,Fargesia emaculata,伊廷双,孟静,杨杨,伊-10585,20070913,四川,2940,路边,,,https://image.cvh.ac.cn/files/l/KUN/1402091.jpg,,,,,,,,,, +,Fargesia ferax,,5230,19740525,四川省,2900,铁杉林中为灌木屋伏势植物,,无花无果,https://image.cvh.ac.cn/files/l/PE/01512335.jpg,,,,,,,,,, +,Fargesia ferax,滇西北金沙江队,6298,19630731,云南省,2600,石灰岩山谷路边灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01512336.jpg,,,,,,,,,, +扫把竹,Fargesia fractiflexa,张宪智,ZXZ11070,20110704,云南省,1956,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252834.jpg,,,,,,,,,, +,Fargesia fractiflexa,高信芬、彭玉兰、孙庚,3389,20020913,四川省,2900~3400,落叶阔叶林,针阔混交林或草地(竹紫已退化),灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0196702.jpg,,,,,,,,,, +扫把竹,Fargesia fractiflexa,白洪兵、海仙,5333241812061285LY,20181206,云南,1368,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009780.jpg,,,,,,,,,, +凋叶箭竹,Fargesia frigida,张宪智,ZXZ11023,20110515,云南省,3426,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252865.jpg,,,,,,,,,, +贡山箭竹,Fargesia gongshanensis,方震东、和光,D-0530,20031027,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007536.jpg,,,,,,,,,, +错那箭竹,Fargesia grossa,扎西次仁,西落,ZhongY580,20091008,西藏,2678,河谷针阔混交林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402093.jpg,,,,,,,,,, +柄箭竹,Fargesia longissima,钟扬,扎西次仁,ZhongY782,20091023,西藏,3227,针阔混交林,灌木,,https://image.cvh.ac.cn/files/l/KUN/1404856.jpg,,,,,,,,,, +黑穗箭竹,Fargesia melanostachys,张宪智,ZXZ11028,20110519,云南省,3077,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252863.jpg,,,,,,,,,, +黑穗箭竹,Fargesia melanostachys,方震东、和光、杨亲二,XZ-676,20070006,西藏自治区,3137,油麦吊云杉林,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 003845.jpg,,,,,,,,,, +,Fargesia nitida,高万里,248,19650830,甘肃省,2600,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088916.jpg,,,,,,,,,, +,Fargesia nitida,卢炯林,79,19790816,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644431.jpg,,,,,,,,,, +,Fargesia nitida,"倪志诚,汪永泽,次多,次旦",750,19800725,西藏自治区,2100,河边针阔混交林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01512389.jpg,,,,,,,,,, +长圆鞘箭竹,Fargesia orbiculata,伊廷双,孟静,杨杨,伊-10362,20070908,云南,2889,山路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402096.jpg,,,,,,,,,, +云龙箭竹,Fargesia papyrifera,张宪智,ZXZ11002,20110507,云南省,3008,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252837.jpg,,,,,,,,,, +云龙箭竹,Fargesia papyrifera,白洪兵、李红,533324180909766LY,20180909,云南,2900,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009868.jpg,,,,,,,,,, +皱壳箭竹,Fargesia pleniculmis,张宪智,ZXZ11024,20110515,云南省,2626,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252997.jpg,,,,,,,,,, +,Fargesia robusta,王雪芹,wxq013,20101209,四川省,2446,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1253015.jpg,,,,,,,,,, +拐棍竹,Fargesia robusta,刘翔,2067001,20060720,重庆市,1560,山地杂木林,竹类,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0023226.jpg,,,,,,,,,, +拐棍竹,Fargesia robusta,刘正宇,2030935,20030419,贵州省,1400,竹林下,竹类,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0023227.jpg,,,,,,,,,, +佤箭竹,Fargesia sagittatinea,白洪兵,5333241812021091LY,20181202,云南,2000,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009989.jpg,,,,,,,,,, +箭竹,Fargesia semiorbiculata,CMTTE,CMTTE502,20120804,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0106271.jpg,,,,,,,,,, +箭竹,Fargesia spathacea,王献明,6671,19880919,湖北省,1210,山脚水沟边灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851788.jpg,,,,,,,,,, +箭竹,Fargesia spathacea,"曹亚玲,溥发鼎",1156,19880721,重庆市,1500~1610,杂灌木林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851787.jpg,,,,,,,,,, +箭竹,Fargesia spathacea,壶瓶山考察队,828,19870626,湖南省,1600~2090,常绿落叶混交林内灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851785.jpg,,,,,,,,,, +德钦箭竹,Fargesia sylvestris,仙-丘滇西北联合考察队,4224,20001220,云南省,3850,野生,湿生灌木,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00058377.jpg,,,,,,,,,, +玉龙山箭竹,Fargesia yulongshanensis,"刘杰, 罗亚皇, 刘基男, 谭少林",YMT3500-1-2009,20130731,云南,3514,川滇高山栎-杜鹃林,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1458124.jpg,,,,,,,,,, +昆明实心竹,Fargesia yunnanensis,蔡兆明,CZM027,20100714,云南省,1974,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1231792.jpg,,,,,,,,,, +昆明实心竹,Fargesia yunnanensis,张宪智,ZXZ11055,20110620,四川省,2564,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252891.jpg,,,,,,,,,, +河西阿魏,Ferula hexiensis,青藏队,3256,19600713,甘肃省,2500,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756194.jpg,,,,,,,,,, +河西阿魏,Ferula hexiensis,不祥,?,?,青海省,0,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/139415.jpg,,,,,,,,,, +草甸阿魏,Ferula kingdon-wardii,,22386,19590913,云南省,3250,山坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00756197.jpg,,,,,,,,,, +草甸阿魏,Ferula kingdon-wardii,郭本兆 黄荣福,?,19700905,西藏自治区,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/133314.jpg,,,,,,,,,, +草甸阿魏,Ferula kingdon-wardii,郭先林、许新锐,2040516,20200716,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02040516.jpg,,,,,,,,,, +榄绿阿魏,Ferula olivacea,G.Forrest,5773,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756202.jpg,,,,,,,,,, +榄绿阿魏,Ferula olivacea,无,610463,19590713,云南省 ,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0462006.jpg,,,,,,,,,, +,Festuca alatavica,秦仁昌,1049,19560804,新疆维吾尔自治区,2630,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520734.jpg,,,,,,,,,, +阿拉套羊茅,Festuca alatavica,,779,62.6.23,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00046389.jpg,,,,,,,,,, +阿拉套羊茅,Festuca alatavica,,8668,73810,,3200,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20013416.jpg,,,,,,,,,, +,Festuca amblyodes,"田,张",46(1),19810723,云南省,2200,山间谷地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520742.jpg,,,,,,,,,, +,Festuca amblyodes,,34418,19340407,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520740.jpg,,,,,,,,,, +,Festuca amblyodes,新疆采集队,534,19780618,新疆维吾尔自治区,1960,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520741.jpg,,,,,,,,,, +,Festuca brachyphylla,"张新时,郭柯",天山-354,19860803,新疆维吾尔自治区,3100,山坡T-040,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077923.jpg,,,,,,,,,, +,Festuca brachyphylla,B.Yurtzev,s.n.,19720704,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01938191.jpg,,,,,,,,,, +,Festuca changduensis,陶德定,11053,19760820,西藏自治区,,河谷阳坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520795.jpg,,,,,,,,,, +,Festuca changduensis,"关克俭,陈艺林",820,19590701,山西省,,路旁沟底,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520793.jpg,,,,,,,,,, +,Festuca changduensis,T.N.Ho et al.,2456,19960827,青海省,3540,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520791.jpg,,,,,,,,,, +,Festuca chayuensis,岳伟、苏旭、王玉金,LiuJQ-328,20111001,青海省,0~3605,温带草原平地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280668.jpg,,,,,,,,,, +,Festuca coelestis,郭柯,K-180,19900806,青海省,4840,北坡山地,高寒草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099564.jpg,,,,,,,,,, +,Festuca coelestis,"清水建美,近田文弘等",208,19910726,新疆维吾尔自治区,2950,山坡 草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01470025.jpg,,,,,,,,,, +,Festuca coelestis,郭柯,K-014,19900610,,5150,高寒草原,,无花有果,https://image.cvh.ac.cn/files/l/PE/01469124.jpg,,,,,,,,,, +,Festuca dahurica,黄河调查队,5180,19560706,甘肃省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520989.jpg,,,,,,,,,, +,Festuca dahurica,,24,19570527,河北省,,岗顶平地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520972.jpg,,,,,,,,,, +,Festuca dahurica,新疆综合考察队,8447,19580919,新疆维吾尔自治区,2800,山坡阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520971.jpg,,,,,,,,,, +长花羊茅,Festuca dolichantha,滇西北金沙江队,6931,19630800,云南省,2700,山坡常绿栎林绿,,有花有果,https://image.cvh.ac.cn/files/l/PE/00521001.jpg,,,,,,,,,, +长花羊茅,Festuca dolichantha,,5805,19740808,四川省,4000,林间,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520999.jpg,,,,,,,,,, +长花羊茅,Festuca dolichantha,Ho Ting-nung et al.,246,19930723,青海省,3500~3600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520997.jpg,,,,,,,,,, +远东羊茅,Festuca extremiorientalis,周口店考察队,46,20080711,北京市,,草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112041.jpg,,,,,,,,,, +远东羊茅,Festuca extremiorientalis,温带森林组,119,19620619,吉林省,900,河边阶地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075094.jpg,,,,,,,,,, +远东羊茅,Festuca extremiorientalis,赤峰采集队,2-021,20080723,内蒙古自治区,,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02012740.jpg,,,,,,,,,, +蛊羊茅,Festuca fascinata,"汤宗孝,田效文,张正华",642,19810718,云南省,3300,草甸草场,,有花无果,https://image.cvh.ac.cn/files/l/PE/02024082.jpg,,,,,,,,,, +蛊羊茅,Festuca fascinata,巴山采集队,1736,20080714,重庆市,2185,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851036.jpg,,,,,,,,,, +蛊羊茅,Festuca fascinata,李渤生等,5725,19830721,西藏自治区,3400,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805488.jpg,,,,,,,,,, +,Festuca forrestii,,2178,19430601,贵州省,1400,盆地 酸性砂质土,,有花有果,https://image.cvh.ac.cn/files/l/PE/01600535.jpg,,,,,,,,,, +,Festuca forrestii,"胡叔良,刘学忠",155-1,19560810,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01582298.jpg,,,,,,,,,, +,Festuca forrestii,"田,张",75(2),,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00521097.jpg,,,,,,,,,, +,Festuca gigantea,巴山采集队,1649,20080719,重庆市,1925,路旁灌丛林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851037.jpg,,,,,,,,,, +,Festuca gigantea,B.B.Makapob,s.n.,19590715,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01765872.jpg,,,,,,,,,, +,Festuca gigantea,刘学忠,364,19590608,北京市,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/01609413.jpg,,,,,,,,,, +日本羊茅,Festuca japonica,58年秦岭队,10711,19580914,陕西省,2700,疏密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827094.jpg,,,,,,,,,, +日本羊茅,Festuca japonica,李渤生等,1119,19821007,西藏自治区,3800~4000,高山草甸中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805486.jpg,,,,,,,,,, +日本羊茅,Festuca japonica,236-6队,2572,19760704,湖北省,1650,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766768.jpg,,,,,,,,,, +,Festuca kansuensis,,1584,19640817,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00521140.jpg,,,,,,,,,, +甘肃羊茅,Festuca kansuensis,吴玉虎,LJQ-QLS-2008-0161,20080729,青海,3310,干旱石质山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402117.jpg,,,,,,,,,, +甘肃羊茅,Festuca kansuensis,秦志业,2020,19620722,青海省,3200,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0212977.jpg,,,,,,,,,, +,Festuca kashmiriana,青藏队植被组,12967,19760707,西藏自治区,4600,山地阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01447421.jpg,,,,,,,,,, +,Festuca kirilovii,不祥,28471,20040607,青海省,2700,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0209656.jpg,,,,,,,,,, +,Festuca kryloviana,秦仁昌,1420,19560806,新疆维吾尔自治区,2440,山坡土壤较潮湿草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00521223.jpg,,,,,,,,,, +寒生羊茅,Festuca kryloviana,冯建菊,LiuJQ-fjj-0005,20100825,新疆,2664,河滩干草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402120.jpg,,,,,,,,,, +弱须羊茅,Festuca leptopogon,李渤生等,5991,19830729,西藏自治区,3600,高山草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805485.jpg,,,,,,,,,, +弱须羊茅,Festuca leptopogon,Stainton sykes & Williams,3471,19540712,,3167,Common around shrubs and in the open,,有花有果,https://image.cvh.ac.cn/files/l/PE/01633794.jpg,,,,,,,,,, +弱须羊茅,Festuca leptopogon,汤宗孝,1459,19830716,四川省,3800,山坡 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01607052.jpg,,,,,,,,,, +,Festuca litvinovii,,10051,19590726,新疆维吾尔自治区,2620,山坡下部谷地侧坡?细质土凹形坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00521293.jpg,,,,,,,,,, +,Festuca litvinovii,青甘调查队,603,19590706,青海省,3690,山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/00521285.jpg,,,,,,,,,, +素羊茅,Festuca modesta,李振宇,11289,20000727,四川省,600,人工草坪,,无花有果,https://image.cvh.ac.cn/files/l/PE/01950503.jpg,,,,,,,,,, +素羊茅,Festuca modesta,D.E.Boufford et al,37497,20070507,甘肃省,800~930,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01849871.jpg,,,,,,,,,, +,Festuca nitidula,青藏科考队,7641,19750813,西藏自治区,4600,柴门水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469681.jpg,,,,,,,,,, +,Festuca nitidula,"张经炜,孙世洲",213,19720815,青海省,3620,祁连山南坡前山柴达木南坡洪积扇,,无花有果,https://image.cvh.ac.cn/files/l/PE/01447429.jpg,,,,,,,,,, +,Festuca ovina subsp. sphagnicola,"张新时,郭柯",天山-234,19860802,新疆维吾尔自治区,3250,倒石堆坡T-030,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078037.jpg,,,,,,,,,, +帕米尔羊茅,Festuca pamirica,杨光明,SCSB-W-1150,20080723,云南,,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402141.jpg,,,,,,,,,, +帕米尔羊茅,Festuca pamirica,方震东、海仙、谢爱芳,DJDC-459,20160516,云南省,1758,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000282.jpg,,,,,,,,,, +小颖羊茅,Festuca parvigluma,PE西藏考察队,7491,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332983.jpg,,,,,,,,,, +小颖羊茅,Festuca parvigluma,谭策铭,94095,19940507,江西省,40,林荫草坪中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089730.jpg,,,,,,,,,, +小颖羊茅,Festuca parvigluma,钟明哲,3961,20090501,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088587.jpg,,,,,,,,,, +糙花羊茅,Festuca scabriflora,青藏队植被组,9687,19760820,西藏自治区,3500,砾树林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01400771.jpg,,,,,,,,,, +糙花羊茅,Festuca scabriflora,北京所横断山队,3111,19810817,云南省,3400~3600,冷杉 高山栎林内空地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01400770.jpg,,,,,,,,,, +中华羊茅,Festuca sinensis,杨永昌,1347,19650802,青海省,4500,阴阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076575.jpg,,,,,,,,,, +中华羊茅,Festuca sinensis,,9207,19750708,四川省,4300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01950504.jpg,,,,,,,,,, +中华羊茅,Festuca sinensis,,3223,19540812,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01608602.jpg,,,,,,,,,, +,Festuca stapfi,巴山采集队,1686,20080714,重庆市,1927,草丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851035.jpg,,,,,,,,,, +,Festuca stapfi,青藏队补点组,750978,19750729,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536188.jpg,,,,,,,,,, +,Festuca stapfi,滇西北金沙江队,4493,19630627,云南省,4000,湖边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536181.jpg,,,,,,,,,, +,Festuca tristis,,新5001,19560806,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536258.jpg,,,,,,,,,, +黑穗羊茅,Festuca tristis,不祥,200,19630712,青海省,3300,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/002511.jpg,,,,,,,,,, +,Festuca undata,青藏队植被组,5389,19750716,西藏自治区,3800,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01400772.jpg,,,,,,,,,, +,Festuca undata,四川省植被调查队,3047,19730810,四川省,4200,阳坡高山栎林林缘草甸土上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536268.jpg,,,,,,,,,, +,Festuca undata,杨永昌,1328,19650802,青海省,4500,河滩阴坡灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536263.jpg,,,,,,,,,, +,Festuca weixiensis,北京所横断山队,2119,19810728,云南省,3900~4200,高山草甸上部常见种,,有花有果,https://image.cvh.ac.cn/files/l/PE/01400775.jpg,,,,,,,,,, +,Festuca weixiensis,管中天,8463,19590629,四川省,2100~2200,落叶阔叶常绿阔叶混交林山坡中部,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536339.jpg,,,,,,,,,, +大果榕,Ficus auriculata,广西队,293,19550606,广西壮族自治区,700,山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984751.jpg,,,,,,,,,, +大果榕,Ficus auriculata,红水河植物考察队,1866,19890527,云南省,1000,云南松-栎林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984747.jpg,,,,,,,,,, +,Ficus chapaensis,林秦文,2013-129,20130530,云南省,1750~2100,峡谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039575.jpg,,,,,,,,,, +,Ficus chapaensis,"党成忠,党平",459,19860718,贵州省,900,山坡沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00776999.jpg,,,,,,,,,, +,Ficus concinna,陶国达,6424,19670826,云南省,,石灰山密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602400.jpg,,,,,,,,,, +,Ficus concinna,钟济新,808142,19500518,广西壮族自治区,,石山,,无花有果,https://image.cvh.ac.cn/files/l/PE/00776073.jpg,,,,,,,,,, +,Ficus concinna,刘正宇,6372,19840726,重庆市,650,灌丛林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00776074.jpg,,,,,,,,,, +,Ficus cyrtophylla,"刘冰,覃海宁,张宪春等",864,20070615,广西壮族自治区,186,石山林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02039621.jpg,,,,,,,,,, +,Ficus cyrtophylla,Y.M.Shui et al.,167,20030616,云南省,300,in forests along river,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872238.jpg,,,,,,,,,, +,Ficus cyrtophylla,"L.Q.Li,N.T.Hiep,Z.Y.Zhang et al.",363,20041026,,390,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872192.jpg,,,,,,,,,, +,Ficus esquiroliana,覃海宁等,213,19980410,广西壮族自治区,400,山地山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984796.jpg,,,,,,,,,, +,Ficus esquiroliana,Shui Yu-Min et Chen Wen-Hong,13317,20001019,云南省,600,"roadside at the edge of forests,altitude",,无花有果,https://image.cvh.ac.cn/files/l/PE/01898161.jpg,,,,,,,,,, +黄毛榕,Ficus fulva,,,19730900,广西壮族自治区,700,砂质岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984805.jpg,,,,,,,,,, +黄毛榕,Ficus fulva,"S.K.Wu,L.H.Liu,Y.M.Shui et al.",3212,19960928,云南省,1400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872021.jpg,,,,,,,,,, +黄毛榕,Ficus fulva,L.Q.Li N.T.Hiep Z.Y.Zhang et al,576,20041031,,1000,in mountain rainforest,,无花无果,https://image.cvh.ac.cn/files/l/PE/01872020.jpg,,,,,,,,,, +,Ficus glaberrima,,龙20,19660600,广西壮族自治区,300,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984843.jpg,,,,,,,,,, +,Ficus glaberrima,"L.Q.Li,N.T.Hiep et al.",193,20041022,,100,in secondary forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872236.jpg,,,,,,,,,, +,Ficus glaberrima,"S.K.Wu,Y.M.Shui et al.",841,19951101,云南省,1200~900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872237.jpg,,,,,,,,,, +,Ficus hederacea,覃海宁,2400,19981107,广西壮族自治区,800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984852.jpg,,,,,,,,,, +,Ficus hederacea,周仕顺,6442,20090816,云南省,600,沟谷箐边热带雨林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872173.jpg,,,,,,,,,, +,Ficus hederacea,,3129,19500501,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01724668.jpg,,,,,,,,,, +尖叶榕,Ficus henryi,巴山采集队,3567,20100725,四川省,585,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059691.jpg,,,,,,,,,, +尖叶榕,Ficus henryi,,s.n.,19731000,广西壮族自治区,600,砂质岩山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984851.jpg,,,,,,,,,, +尖叶榕,Ficus henryi,赣南采集队,880,20071031,江西省,220,杂木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872277.jpg,,,,,,,,,, +异叶榕,Ficus heteromorpha,"赵常明,葛结林,谭福",EX2504,20090728,湖北省,600,阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02076133.jpg,,,,,,,,,, +异叶榕,Ficus heteromorpha,巴山采集队,5831,20120629,四川省,1300~1440,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066224.jpg,,,,,,,,,, +异叶榕,Ficus heteromorpha,巴山采集队,3427,20100723,陕西省,915,沟边灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059661.jpg,,,,,,,,,, +,Ficus ischnopoda,华南队,1080,19890525,广西壮族自治区,1200,山地山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984918.jpg,,,,,,,,,, +,Ficus ischnopoda,王印政等,4622,19981024,云南省,1350,山地山谷石山河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802847.jpg,,,,,,,,,, +,Ficus ischnopoda,北京队,1095,19880605,湖南省,350~450,常绿阔叶林带内山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01802385.jpg,,,,,,,,,, +光叶榕,Ficus laevis,北京队,895814,19890603,广西壮族自治区,450,山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984929.jpg,,,,,,,,,, +光叶榕,Ficus laevis,"S.K.Wu,L.H.Liu,Y.M.Shui et al.",4483,19961021,云南省,1800,Under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872216.jpg,,,,,,,,,, +光叶榕,Ficus laevis,"覃海宁,朱华,张明理,高天刚",109,19981018,,,山地,山谷,密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01865800.jpg,,,,,,,,,, +,Ficus neriifolia,"李渤生,李辉,阳艺",13280,19900830,西藏自治区,1900~2000,阳坡岸边 常见乔木,,无花有果,https://image.cvh.ac.cn/files/l/PE/01487674.jpg,,,,,,,,,, +,Ficus neriifolia,"韩裕丰,邓坤梅,陈永瑞",81-550,19810601,云南省,1950,路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/00777334.jpg,,,,,,,,,, +,Ficus oligodon,钱义咏,3825,19990519,云南省,1500,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02062466.jpg,,,,,,,,,, +,Ficus oligodon,,1446,,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984944.jpg,,,,,,,,,, +,Ficus oligodon,P.K.Loc et al.,9009,20060727,,584,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01899349.jpg,,,,,,,,,, +,Ficus prostrata,俞德俊,20439,19380926,云南省,1200,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00641823.jpg,,,,,,,,,, +,Ficus pubigera,北京队,895559,19890531,广西壮族自治区,500,山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984955.jpg,,,,,,,,,, +,Ficus pubigera,Walter N.Koelz,27542,19510406,,1667,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01724726.jpg,,,,,,,,,, +,Ficus pubigera,昆明工作站,766,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00776388.jpg,,,,,,,,,, +,Ficus sarmentosa var. duclouxii,覃海宁,2335,19981107,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984963.jpg,,,,,,,,,, +,Ficus sarmentosa var. duclouxii,武陵考察队,997,19880719,湖南省,600,山地山谷灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802383.jpg,,,,,,,,,, +,Ficus sarmentosa var. duclouxii,"张维,庞玉芬等",51088,19650630,贵州省,1100,沟边林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01282789.jpg,,,,,,,,,, +匍茎榕(原变种),Ficus sarmentosa var. sarmentosa,邓懋彬,4799,19570624,浙江省,500,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0373963.jpg,,,,,,,,,, +日本匍茎榕,Ficus sarmentosa var. sarmentosa,曾宪锋,ZXF19916,20150316,福建省,930,山谷,,,https://image.cvh.ac.cn/files/l/CZH/CZH0012324.jpg,,,,,,,,,, +日本匍茎榕,Ficus sarmentosa var. sarmentosa,曾宪锋,ZXF13664,20130718,江西省,,林下,,,https://image.cvh.ac.cn/files/l/CZH/CZH0017889.jpg,,,,,,,,,, +鸡嗉子果,Ficus semicordata,红水河植物考察队,587,19890511,广西壮族自治区,700,山地山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984985.jpg,,,,,,,,,, +鸡嗉子果,Ficus semicordata,周仕顺,506,20021122,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01865792.jpg,,,,,,,,,, +鸡嗉子果,Ficus semicordata,安顺队,75,19590711,贵州省,820,密林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01865791.jpg,,,,,,,,,, +,Ficus subincisa,钱义咏,1039,19851025,云南省,950,疏林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02062469.jpg,,,,,,,,,, +,Ficus subincisa,邓云飞等,15392,20001007,广西壮族自治区,350,山地山谷灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01985004.jpg,,,,,,,,,, +,Ficus subulata,华南队,1116,19890603,广西壮族自治区,450,山地山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01985008.jpg,,,,,,,,,, +,Ficus subulata,H.Ohashi et al.,14733,19821107,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01969014.jpg,,,,,,,,,, +,Ficus subulata,"税玉民,陈文红,盛家舒",31559,20021016,云南省,,石灰岩山常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872320.jpg,,,,,,,,,, +地瓜,Ficus tikoua,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1130,20021111,云南省,2530,林(中)下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100176.jpg,,,,,,,,,, +地瓜,Ficus tikoua,"川西队,关克俭,王文采等",1608,19630818,四川省,,匍匐地上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092904.jpg,,,,,,,,,, +地瓜,Ficus tikoua,北京队,890797,19890505,广西壮族自治区,300,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01985024.jpg,,,,,,,,,, +,Ficus virens,"覃海宁,于胜祥,侯满福",18951,20051008,广西壮族自治区,960,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01872298.jpg,,,,,,,,,, +,Ficus virens,毕节队,1144,19590910,贵州省,500,沟底,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872296.jpg,,,,,,,,,, +絮菊,Filago arvensis,中国科学院植物研究所新疆考察队,1561,19560810,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02079408.jpg,,,,,,,,,, +絮菊,Filago arvensis,A.Trojecka-Brzezinska,s.n.,20090625,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01959155.jpg,,,,,,,,,, +锈脉蚊子草,Filipendula vestita,田效文等,821,19810807,云南省,3150,亚高山草甸草,,有花无果,https://image.cvh.ac.cn/files/l/PE/01651085.jpg,,,,,,,,,, +锈脉蚊子草,Filipendula vestita,T.N.Liou,5655,19321022,,541,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01639743.jpg,,,,,,,,,, +夏飘拂草,Fimbristylis aestivalis,Yui-Ching Kao,1024,20080618,台湾省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01950178.jpg,,,,,,,,,, +夏飘拂草,Fimbristylis aestivalis,N. M. Smith,5068,20061119,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01897100.jpg,,,,,,,,,, +复序飘拂草,Fimbristylis bisumbellata,高瑞卿,Kao1351,20100419,台湾省,,冬山河口附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089851.jpg,,,,,,,,,, +复序飘拂草,Fimbristylis bisumbellata,北京队,891289,19890513,广西壮族自治区,,山沟、林下、阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017211.jpg,,,,,,,,,, +复序飘拂草,Fimbristylis bisumbellata,鞠广胜,39,19830712,山东省,,浅水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835653.jpg,,,,,,,,,, +扁鞘飘拂草,Fimbristylis complanata,梁慧舟等,3547,20030806,台湾省,1100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855183.jpg,,,,,,,,,, +扁鞘飘拂草,Fimbristylis complanata,李光照,15463,19970910,广西壮族自治区,190,田间,,无花有果,https://image.cvh.ac.cn/files/l/PE/01835760.jpg,,,,,,,,,, +扁鞘飘拂草,Fimbristylis complanata,绿春队,1285,19740531,云南省,500~600,河谷公路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835761.jpg,,,,,,,,,, +两歧飘拂草,Fimbristylis dichotoma subsp. dichotoma,郭永杰;张桥蓉;黄莉;李涟漪;李培;何德明;杨映虹,16CS14313,20161027,浙江,37,灌丛中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1554171.jpg,,,,,,,,,, +,Fimbristylis dichotoma subsp. podocarpa,,70047,,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835963.jpg,,,,,,,,,, +,Fimbristylis dichotoma subsp. podocarpa,Tsang Wai Tak,255-15724,19270831,海南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835961.jpg,,,,,,,,,, +,Fimbristylis dichotoma subsp. podocarpa,,856,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01835665.jpg,,,,,,,,,, +,Fimbristylis littoralis var. littoralis,陈添财等,12030,20020720,台湾省,300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835975.jpg,,,,,,,,,, +,Fimbristylis littoralis var. littoralis,"张挺, 蔡杰",15CS10919,20150824,海南,141,河边废弃水田,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1459400.jpg,,,,,,,,,, +水虱草,Fimbristylis littoralis var. littoralis,刘景欣,661,20090918,云南,1413,水稻田,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029750.jpg,,,,,,,,,, +长穗飘拂草,Fimbristylis longispica,Y.Yabe,,19170829,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00026719.jpg,,,,,,,,,, +长穗飘拂草,Fimbristylis longispica,E.J.H.Corner,29907,19350825,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0660753.jpg,,,,,,,,,, +长穗飘拂草,Fimbristylis longispica,傅坤俊,7837,19530917,陕西省,0~610,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0660754.jpg,,,,,,,,,, +褐鳞飘拂草,Fimbristylis nigrobrunnea,植物调查队,1639,19560404,广西壮族自治区,,山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/00028544.jpg,,,,,,,,,, +褐鳞飘拂草,Fimbristylis nigrobrunnea,南植地,3606,,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0696524.jpg,,,,,,,,,, +褐鳞飘拂草,Fimbristylis nigrobrunnea,侯宽昭,70936,19330701,海南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0660486.jpg,,,,,,,,,, +卵形飘拂草,Fimbristylis ovata,T. Y. A. Yang et al.,15015,20020618,台湾省,26,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01896750.jpg,,,,,,,,,, +卵形飘拂草,Fimbristylis ovata,刘瑛光,715,19570715,广东省,,山地山谷田野路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01835479.jpg,,,,,,,,,, +卵形飘拂草,Fimbristylis ovata,陈家瑞等,95080,19950800,云南省,600~900,热带雨林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01835480.jpg,,,,,,,,,, +东南飘拂草,Fimbristylis pierotii,"张正华,汤宗孝,田效文",418,19810618,云南省,2300,路旁 丘陵 山地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780065.jpg,,,,,,,,,, +东南飘拂草,Fimbristylis pierotii,,s.n.,19400723,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01779526.jpg,,,,,,,,,, +五棱秆飘拂草,Fimbristylis quinquangularis,Wai Chao Leong,970,19980717,台湾省,200~250,valley secondary forest road path side,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110143.jpg,,,,,,,,,, +五棱秆飘拂草,Fimbristylis quinquangularis,广西调查队,3955,19531014,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017214.jpg,,,,,,,,,, +结状飘拂草,Fimbristylis rigidula,,321,19590305,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01835777.jpg,,,,,,,,,, +结状飘拂草,Fimbristylis rigidula,,721,19570822,浙江省,,山顶上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835776.jpg,,,,,,,,,, +结状飘拂草,Fimbristylis rigidula,陈照宙,50302,19570426,广西壮族自治区,640,草地山顶山坡阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01835763.jpg,,,,,,,,,, +畦畔飘拂草,Fimbristylis squarrosa,郭成勇,055234-6,20050717,山东省,150,山坡湿草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01897888.jpg,,,,,,,,,, +畦畔飘拂草,Fimbristylis squarrosa,广东合浦区植物调查队,1708,19560415,广西壮族自治区,130,水田中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01835592.jpg,,,,,,,,,, +畦畔飘拂草,Fimbristylis squarrosa,,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01835593.jpg,,,,,,,,,, +匍匐茎飘拂草,Fimbristylis stolonifera,普查标本,29120,19590700,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01835765.jpg,,,,,,,,,, +匍匐茎飘拂草,Fimbristylis stolonifera,毕节队,736,19590804,贵州省,2100,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835565.jpg,,,,,,,,,, +匍匐茎飘拂草,Fimbristylis stolonifera,"关克俭,汪劲武,李朝銮",881,19640625,重庆市,630,山坡开旷荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835564.jpg,,,,,,,,,, +黑风藤,Fissistigma polyanthum,植被组,198,19781111,云南省,1900,路边杂木林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/02073225.jpg,,,,,,,,,, +黑风藤,Fissistigma polyanthum,华南队,230,19890427,广西壮族自治区,1100,山地山谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986527.jpg,,,,,,,,,, +凹叶瓜馥木,Fissistigma retusum,北京队,891214,19890512,广西壮族自治区,200,河岸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01986580.jpg,,,,,,,,,, +凹叶瓜馥木,Fissistigma retusum,青藏队,74-1856,19740813,西藏自治区,2000,常绿阔叶林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01186748.jpg,,,,,,,,,, +凹叶瓜馥木,Fissistigma retusum,K.M.Feng,11859,19470918,云南省,1450,in open thickets on rock hill,,无花有果,https://image.cvh.ac.cn/files/l/PE/01186741.jpg,,,,,,,,,, +,Flemingia fluminalis,黔南队,474,19590412,贵州省,,山谷平原,,有花有果,https://image.cvh.ac.cn/files/l/PE/00379636.jpg,,,,,,,,,, +,Flemingia fluminalis,川经凉(59)字,3248,19590528,四川省,,江边沙坝上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00379632.jpg,,,,,,,,,, +河边千斤拔,Flemingia fluminalis,胡志浩,1220,19730509,云南省,340,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0179638.jpg,,,,,,,,,, +,Flemingia grahamiana,"李文华,胡勇",81-0192,19810612,云南省,1400,干热河谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/00463655.jpg,,,,,,,,,, +绒毛千斤拔,Flemingia grahamiana,昆明工作站,71012,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0179643.jpg,,,,,,,,,, +,Flemingia macrophylla,北京队,890516,19890429,广西壮族自治区,350,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996781.jpg,,,,,,,,,, +,Flemingia macrophylla,E.Westphal,9645,19770903,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01969451.jpg,,,,,,,,,, +,Flemingia macrophylla,Chiou-mei Wang,W01151,19940801,台湾省,640,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01781702.jpg,,,,,,,,,, +滇金石斛,Flickingeria albopurpurea,吉占和,91-719,19910000,云南省,800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00851315.jpg,,,,,,,,,, +一叶秋,Flueggea suffruticosa,张志耘等,2015-305,20150613,北京市,90,roadside cult.,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064645.jpg,,,,,,,,,, +一叶秋,Flueggea suffruticosa,"王忠涛,曲上,徐连升",140169,20140612,河北省,757,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031739.jpg,,,,,,,,,, +一叶秋,Flueggea suffruticosa,赤峰采集队,2-Z25,20080725,内蒙古自治区,1222,山顶灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02005965.jpg,,,,,,,,,, +茴香,Foeniculum vulgare,蓝顺彬,779,19861123,云南省,2460,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860088.jpg,,,,,,,,,, +茴香,Foeniculum vulgare,,57,19610626,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01631476.jpg,,,,,,,,,, +茴香,Foeniculum vulgare,吴县普查队,515,19610811,江苏省,200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01575498.jpg,,,,,,,,,, +复芒菊,Formania mekongensis,康藏植物考察队,10-0451,20100722,四川省,2500,干旱沙石坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088034.jpg,,,,,,,,,, +复芒菊,Formania mekongensis,G.Forrest,13183,19140000,云南省,3333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01774582.jpg,,,,,,,,,, +,Forsythia likiangensis,,20166,,云南省,0,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01488976.jpg,,,,,,,,,, +,Forsythia likiangensis,T.T.Yu,5563,19370522,四川省,2600,among thikcets,,无花有果,https://image.cvh.ac.cn/files/l/PE/01488974.jpg,,,,,,,,,, +裂萼草莓,Fragaria daltoniana,"李渤生,程树志",506,19820902,西藏自治区,3150,云 冷杉林下优势种,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074636.jpg,,,,,,,,,, +裂萼草莓,Fragaria daltoniana,M.Suzuki etc.,8810476,19880718,,3100,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1264457.jpg,,,,,,,,,, +纤细草莓,Fragaria gracilis,PE西藏考察队,7184,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331927.jpg,,,,,,,,,, +纤细草莓,Fragaria gracilis,Chin-Sung Chang et al.,SI0079,20040707,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01852997.jpg,,,,,,,,,, +纤细草莓,Fragaria gracilis,孙学刚等,2820,20020515,甘肃省,2200~2450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821801.jpg,,,,,,,,,, +西南草莓,Fragaria moupinensis,PE西藏考察队,7466,20180617,西藏自治区,2808,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332132.jpg,,,,,,,,,, +西南草莓,Fragaria moupinensis,张树仁等,2213,20140622,四川省,1252~1800,路边 山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01918853.jpg,,,,,,,,,, +西南草莓,Fragaria moupinensis,白水江考察队,121,20060625,甘肃省,2350~2400,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860875.jpg,,,,,,,,,, +粉叶黄毛草莓,Fragaria nilgerrensis var. mairei,植物所三峡考察队,1480,20080511,重庆市,1500~1759,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01789989.jpg,,,,,,,,,, +粉叶黄毛草莓,Fragaria nilgerrensis var. mairei,236四川任务组,494,19710727,四川省,1000,草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01534299.jpg,,,,,,,,,, +粉叶黄毛草莓,Fragaria nilgerrensis var. mairei,青藏队,91,19810525,云南省,1900~2000,杂木林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/01147836.jpg,,,,,,,,,, +黄毛草莓,Fragaria nilgerrensis var. nilgerrensis,安明态,586,20010516,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/GFS/GFS0018395.jpg,,,,,,,,,, +黄毛草莓,Fragaria nilgerrensis var. nilgerrensis,弥渡普查队,5329251182,20120721,云南省,1935,,草本,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0008323.jpg,,,,,,,,,, +黄毛草莓(原变种),Fragaria nilgerrensis var. nilgerrensis,张相宜,李子宣,郭泳棂,LZX-Z-00-15-037,20210531,四川,2563,高山草甸灌丛,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02066571.jpg,,,,,,,,,, +西藏草莓,Fragaria nubicola,PE西藏考察队,7597,20180621,西藏自治区,3796~4100,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332795.jpg,,,,,,,,,, +西藏草莓,Fragaria nubicola,新疆采集队,3721,19780910,新疆维吾尔自治区,2100,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01818364.jpg,,,,,,,,,, +西藏草莓,Fragaria nubicola,青藏队植被组,23,19740616,四川省,,沟谷山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810143.jpg,,,,,,,,,, +东方草莓,Fragaria orientalis,"赵清盛,师进斌等",117226,19830601,四川省,1250,林中草坪,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098196.jpg,,,,,,,,,, +东方草莓,Fragaria orientalis,傅德志等,96,20070720,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026609.jpg,,,,,,,,,, +东方草莓,Fragaria orientalis,,,19570618,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005075.jpg,,,,,,,,,, +五叶草莓,Fragaria pentaphylla,"田先华,张力",T934023,19930424,陕西省,1360,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841395.jpg,,,,,,,,,, +五叶草莓,Fragaria pentaphylla,白水江采集队,3832,20070502,甘肃省,1000,山坡荒地中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01651968.jpg,,,,,,,,,, +五叶草莓,Fragaria pentaphylla,蒋兴麟,s.n.,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00903086.jpg,,,,,,,,,, +野草莓,Fragaria vesca,浆果,38,19620522,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091546.jpg,,,,,,,,,, +野草莓,Fragaria vesca,孙国峰,X018,20050821,新疆维吾尔自治区,1362,荫湿云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061963.jpg,,,,,,,,,, +野草莓,Fragaria vesca,Z.Dolezalova et H.Pistulkova,15,19640522,,270,in locis lapidosis prope vicum Velka Chuchle,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044281.jpg,,,,,,,,,, +,Fraxinus floribunda,中苏队,9673,19570424,云南省,1400,山谷阴处密林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110204.jpg,,,,,,,,,, +,Fraxinus floribunda,"李渤生,程树志,倪志诚",3722,19830523,西藏自治区,1800,常绿阔叶林中偶见乔木,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098857.jpg,,,,,,,,,, +光蜡树,Fraxinus griffithii,青藏队,73-892,19730725,西藏自治区,1800,山坡次生杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01477780.jpg,,,,,,,,,, +光蜡树,Fraxinus griffithii,昆明工作站,1214,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01477778.jpg,,,,,,,,,, +,Fraxinus platypoda,Jeon Sung Chang Heung Soo Lee Jeong Ill Jeon Hui K,SI 0164,20040709,四川省,2585,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01528578.jpg,,,,,,,,,, +,Fraxinus platypoda,G.Forrest,23609,19230000,云南省,2667~3000,In open mixed forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01488245.jpg,,,,,,,,,, +,Fraxinus sikkimensis,生态室高原组,11512,19800730,西藏自治区,790,雅江阶地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081047.jpg,,,,,,,,,, +,Fraxinus sikkimensis,冯国楣,21012,19551005,云南省,2600~2800,溪旁,密林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01647422.jpg,,,,,,,,,, +三叶白蜡树,Fraxinus trifoliolata,冯国楣,21550,19550916,云南省,1880,河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01488723.jpg,,,,,,,,,, +,Fraxinus trifoliolata,武素功,3577,19591029,四川省,2000,江边阴坡 林下阴湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934057.jpg,,,,,,,,,, +,Fraxinus xanthoxyloides,Harry Smith,885,19210914,河北省,1700,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01488729.jpg,,,,,,,,,, +,Fraxinus xanthoxyloides,新疆综合考察队,195,19590602,新疆维吾尔自治区,,庭院中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01488728.jpg,,,,,,,,,, +椒叶梣,Fraxinus xanthoxyloides,林有润,74-1417,19740925,新疆维吾尔自治区 ,550,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0458970.jpg,,,,,,,,,, +川贝母,Fritillaria cirrhosa,PE西藏考察队,7282,20180615,西藏自治区,4154~4259,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331633.jpg,,,,,,,,,, +川贝母,Fritillaria cirrhosa,郎楷永等,235,19820626,四川省,3700~4000,河边灌地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948550.jpg,,,,,,,,,, +川贝母,Fritillaria cirrhosa,黄德明等,s.n.,19910527,重庆市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01945319.jpg,,,,,,,,,, +粗茎贝母,Fritillaria crassicaulis,Luo Yi-bo,62,19960704,云南省,3600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01527135.jpg,,,,,,,,,, +粗茎贝母,Fritillaria crassicaulis,俞德浚,11319,19370517,山西省,3000,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/304308.jpg,,,,,,,,,, +大金贝母,Fritillaria dajinensis,陈伟烈等,7208,19840703,四川省,4220,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377758.jpg,,,,,,,,,, +梭砂贝母,Fritillaria delavayi,青藏队,6872,19820527,云南省,3600,山坡竹林中流水冲积地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01948555.jpg,,,,,,,,,, +梭砂贝母,Fritillaria delavayi,西藏队植被组,6054,19750902,西藏自治区,4900~5000,流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532631.jpg,,,,,,,,,, +梭砂贝母,Fritillaria delavayi,,690,19640818,青海省,4700,砾石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518784.jpg,,,,,,,,,, +高山贝母,Fritillaria fusca,青藏队,7428,19750902,西藏自治区,5000,高山流石坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00152108.jpg,,,,,,,,,, +甘肃贝母,Fritillaria przewalskii,,52,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00152221.jpg,,,,,,,,,, +甘肃贝母,Fritillaria przewalskii,,83,,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00152202.jpg,,,,,,,,,, +甘肃贝母,Fritillaria przewalskii,T.P.Wang,7408,19370711,甘肃省,3500,on weedy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00152199.jpg,,,,,,,,,, +华西贝母,Fritillaria sichuanica,北京所横断山队,4061,19830610,四川省,4200,高山 杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538132.jpg,,,,,,,,,, +华西贝母,Fritillaria sichuanica,杨永昌,372,19640713,青海省,4400,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/002896.jpg,,,,,,,,,, +,Fritillaria sungbei,蒲绍清,16,1985/6/30,平武县,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0096024.jpg,,,,,,,,,, +新疆贝母,Fritillaria walujewii,"李安仁,朱家楠",10493,19590528,新疆维吾尔自治区,,山坡 阴处 石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01594151.jpg,,,,,,,,,, +新疆贝母,Fritillaria walujewii,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13243,20160819,新疆,1488,石头山灌丛,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1449327.jpg,,,,,,,,,, +林生顶冰花,Gagea filiformis,"李安仁,朱家楠",10285,19590504,新疆维吾尔自治区,1400,沟谷草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00152363.jpg,,,,,,,,,, +林生顶冰花,Gagea filiformis,"亚吉东|1657, 张桥蓉, 胡枭剑",16CS12904,20160601,新疆,,高山草地上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1441170.jpg,,,,,,,,,, +林生顶冰花,Gagea filiformis,黄荣福,K-849,19900721,青海省,4800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/164853.jpg,,,,,,,,,, +高山顶冰花,Gagea jaeschkei,,s.n.,19740618,新疆维吾尔自治区,4100~4600,"阴坡, 壤土,山坡",,有花无果,https://image.cvh.ac.cn/files/l/PE/00035656.jpg,,,,,,,,,, +高山顶冰花,Gagea jaeschkei,吴玉虎等,5015,19890709,新疆维吾尔自治区 ,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/154064.jpg,,,,,,,,,, +高山顶冰花,Gagea jaeschkei,,73-87,730604,,3100,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20000293.jpg,,,,,,,,,, +新疆顶冰花,Gagea neopopovii,,780,19620623,新疆维吾尔自治区,2500,石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432896.jpg,,,,,,,,,, +新疆顶冰花,Gagea neopopovii,刘成、亚吉东,15CS10095,20150609,新疆,2898,高山碎石坡,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1396594.jpg,,,,,,,,,, +乌恰顶冰花,Gagea olgae,,73-21,19730520,新疆维吾尔自治区,3100,山地,荒漠,草原带阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00035660.jpg,,,,,,,,,, +乌恰顶冰花,Gagea olgae,,73-21,73.05.20,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00055519.jpg,,,,,,,,,, +乌恰顶冰花,Gagea olgae,,73-21,730520,,3100,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20000307.jpg,,,,,,,,,, +多球顶冰花,Gagea ova,,s.n.,19760515,新疆维吾尔自治区,700,平原,,有花无果,https://image.cvh.ac.cn/files/l/PE/00035661.jpg,,,,,,,,,, +多球顶冰花,Gagea ova,,7227,74.04.20,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00055521.jpg,,,,,,,,,, +多球顶冰花,Gagea ova,,7227,740420,,1000,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20000309.jpg,,,,,,,,,, +少花顶冰花,Gagea pauciflora,石硕,SZ3475,20140512,河北省,1728,路边石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031934.jpg,,,,,,,,,, +少花顶冰花,Gagea pauciflora,"刘冰,刘夙",647,20070519,内蒙古自治区,1378,沙地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01953302.jpg,,,,,,,,,, +少花顶冰花,Gagea pauciflora,N.Maltzev,s.n.,19070502,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01643028.jpg,,,,,,,,,, +紫缨乳菀,Galatella chromopappa,徐连升,X140130,20140823,内蒙古自治区,772,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034599.jpg,,,,,,,,,, +紫缨乳菀,Galatella chromopappa,D.H.Wilken et al.,160,19770911,,2100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01703677.jpg,,,,,,,,,, +紫缨乳菀,Galatella chromopappa,关克俭,2605,19570807,新疆维吾尔自治区,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00386181.jpg,,,,,,,,,, +北方盔花兰,Galearis roborowskyi,魏来、郝加琛,15550,20150810,西藏,4561,山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0025890.jpg,,,,,,,,,, +北方红门兰,Galearis roborowskyi,郝加琛,周瑜,16719,20160712,新疆维吾尔自治区,2388,路旁草丛,草本,,https://image.cvh.ac.cn/files/l/BNU/0030067.jpg,,,,,,,,,, +,Galearis spathulata,PE西藏考察队,7212,20180612,西藏自治区,4539,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331735.jpg,,,,,,,,,, +二叶盔花兰,Galearis spathulata,彭玉兰、余奇、李林霖,THP-KD-1323,20170616,四川,3091,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0249856.jpg,,,,,,,,,, +二叶盔花兰,Galearis spathulata,肖月娥、胡超、叶喜阳、华国军,HC063,20150705,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0098292.jpg,,,,,,,,,, +山珊瑚,Galeola faberi,HK kadoorie PT,3359,20020427,云南省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098028.jpg,,,,,,,,,, +山珊瑚,Galeola faberi,邓世纬,90470,19360701,贵州省,,竹林,,有花无果,https://image.cvh.ac.cn/files/l/PE/00339023.jpg,,,,,,,,,, +山珊瑚,Galeola faberi,"方文培,熊济华,张秀实,蒋兴麟",31725,19520721,四川省,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00339021.jpg,,,,,,,,,, +毛萼山珊瑚,Galeola lindleyana,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T334,20160919,西藏自治区,2453,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233054.jpg,,,,,,,,,, +毛萼山珊瑚,Galeola lindleyana,方成武,,20130500,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109919.jpg,,,,,,,,,, +毛萼山珊瑚,Galeola lindleyana,"税玉民,向秋云",21739,20020626,云南省,1700,on shrubs at the top of limestone hills,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033198.jpg,,,,,,,,,, +鼬瓣花,Galeopsis bifida,PE西藏队,PE6507,20170912,西藏自治区,3588,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331022.jpg,,,,,,,,,, +鼬瓣花,Galeopsis bifida,FLPH Sichuan Expedition,151727,20150830,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328437.jpg,,,,,,,,,, +牛膝菊,Galinsoga parviflora,PE西藏队,PE5031,20170824,西藏自治区,3522,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333870.jpg,,,,,,,,,, +牛膝菊,Galinsoga parviflora,赵佐成,957,19930926,四川省,1000,阳坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235035.jpg,,,,,,,,,, +牛膝菊,Galinsoga parviflora,"刘正宇,张军等",RQHZ06411,20140925,重庆市,913,黄壤 荒地 草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115281.jpg,,,,,,,,,, +尖瓣拉拉藤,Galium acutum,C.W.Wang,67188,19351000,云南省,2800,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234702.jpg,,,,,,,,,, +尖瓣拉拉藤,Galium acutum,曲桂龄,3550,19360000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113708.jpg,,,,,,,,,, +,Galium aparine,C.O.Levine,,19170210,海南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114665.jpg,,,,,,,,,, +,Galium aparine,C.W.Wang,64716,19350700,云南省,3000,mixed woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110702.jpg,,,,,,,,,, +,Galium aparine,"Hang Sun,Tao Deng,Sergey Volis etc.",17546,20140513,,1822,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064263.jpg,,,,,,,,,, +毛果楔叶葎,Galium asperifolium var. lasiocarpum,李阴昆,378,19560621,广西壮族自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0398878.jpg,,,,,,,,,, +毛果楔叶葎,Galium asperifolium var. lasiocarpum,H.T.Tsai,61090,19340721,云南省 ,1500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0398881.jpg,,,,,,,,,, +玉龙拉拉藤,Galium baldensiforme,T.P.Wang,5281,19360724,甘肃省,2700,on clay bank or weedy plain,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113333.jpg,,,,,,,,,, +玉龙拉拉藤,Galium baldensiforme,K.M.Liou,6645,19360820,,2200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113332.jpg,,,,,,,,,, +玉龙拉拉藤,Galium baldensiforme,T.P.Wang,6205,19360915,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113331.jpg,,,,,,,,,, +北方拉拉藤,Galium boreale var. boreale,陈健,20190709007,20190709,黑龙江,195,山坡、沟旁的草丛,,有花有果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0000938.jpg,,,,,,,,,, +北方拉拉藤,Galium boreale var. boreale,塔里木大学资源调查组,TD-01330,20070729,新疆,2396米,高山草甸,草本,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU00223.jpg,,,,,,,,,, +硬毛拉拉藤,Galium boreale var. ciliatum,"近田文弘,杨戈",48,19860717,新疆维吾尔自治区,2380,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01197608.jpg,,,,,,,,,, +硬毛拉拉藤,Galium boreale var. ciliatum,"郎楷永,李良千,费勇",1855,19830619,四川省,2450,山坡 灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173410.jpg,,,,,,,,,, +硬毛拉拉藤,Galium boreale var. ciliatum,鄂神农架队,21511,19760712,湖北省,1550,沟谷 岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01038449.jpg,,,,,,,,,, +四叶律,Galium bungei,C.S.Liu,679,19340711,四川省,3000,mt. slope open nall,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113670.jpg,,,,,,,,,, +四叶律,Galium bungei,K.Kondo 近藤金吾,2578,19300525,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113624.jpg,,,,,,,,,, +四叶律,Galium bungei,"李明生,李振宇等",5887,19860730,福建省,300,山坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113515.jpg,,,,,,,,,, +,Galium dahuricum,林型组,,19540000,内蒙古自治区,,阴向缓坡落叶松林 in forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115836.jpg,,,,,,,,,, +,Galium dahuricum,"熊济华,周子林",92176,19570721,重庆市,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113238.jpg,,,,,,,,,, +,Galium dahuricum,贺贤育,29826,19571003,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113237.jpg,,,,,,,,,, +刺果猪殃殃,Galium echinocarpum,C.H.Chen et al.,4270,20020722,台湾省,3050~3600,"Trailside,under forest",,有花无果,https://image.cvh.ac.cn/files/l/PE/01917307.jpg,,,,,,,,,, +刺果猪殃殃,Galium echinocarpum,T.Kawakami et U.Mori,1805,1906.10.18.,-,9000ped.,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005810.jpg,,,,,,,,,, +刺果猪殃殃,Galium echinocarpum,刘秀英,DPS20116126,20110525,贵州省,1200,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0007652.jpg,,,,,,,,,, +小红参,Galium elegans,PE西藏队,PE6364,20170911,西藏自治区,3120,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332860.jpg,,,,,,,,,, +小红参,Galium elegans,Anonymous,s.n.,19140603,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113764.jpg,,,,,,,,,, +小红参,Galium elegans,Anonymous,s.n.,19181025,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113665.jpg,,,,,,,,,, +单花拉拉藤,Galium exile,K.S.Hao,Hao4468,19320918,陕西省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113666.jpg,,,,,,,,,, +单花拉拉藤,Galium exile,T.P.Wang,7376,19370722,甘肃省,3100,on weedy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113654.jpg,,,,,,,,,, +丽江拉拉藤,Galium forrestii,管中天,42-0128,19600831,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399509.jpg,,,,,,,,,, +,Galium forrestii,,1368,,,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00031006.jpg,,,,,,,,,, +,Galium forrestii,,A712,19250714,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00031007.jpg,,,,,,,,,, +腺叶拉拉藤,Galium glandulosum,青藏队,4769,19810812,四川省,3600,山坡 岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173435.jpg,,,,,,,,,, +腺叶拉拉藤,Galium glandulosum,青藏队补点组,750412,19750630,西藏自治区,3600~3800,干山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00713219.jpg,,,,,,,,,, +,Galium hoffmeisteri,郝景盛,16117,19510726,黑龙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111957.jpg,,,,,,,,,, +,Galium hoffmeisteri,"董洪进,王泽欢,尹志坚",WM-0148,20160427,云南省,1500~1600,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091262.jpg,,,,,,,,,, +,Galium hoffmeisteri,"张树仁,陈淑荣,朗校安等",1887,20140613,四川省,1400~1600,山坡 林下 沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021420.jpg,,,,,,,,,, +,Galium innocuum,王战等,1529,19510718,内蒙古自治区,,水沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111980.jpg,,,,,,,,,, +,Galium innocuum,吕胜由,22143,19870623,台湾省,1000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00713204.jpg,,,,,,,,,, +,Galium innocuum,尹志坚,董洪进,向春雷,1511,20090721,云南省,3100,roadsides forest margins,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220229.jpg,,,,,,,,,, +三脉猪殃殃,Galium kamtschaticum,"曹子余,程树志,韩家懋",260,20010716,吉林省,1100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01596819.jpg,,,,,,,,,, +三脉猪殃殃,Galium kamtschaticum,K.Inagaki ,CBM102892,19570624,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01504585.jpg,,,,,,,,,, +,Galium karataviense,P.C.Tsoong,4119,19360716,安徽省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111963.jpg,,,,,,,,,, +,Galium karataviense,"李安仁,朱家楠",10767,19590623,新疆维吾尔自治区,440,水边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111981.jpg,,,,,,,,,, +,Galium karataviense,"李馨,周继西",73874,19570730,四川省,2450,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00713638.jpg,,,,,,,,,, +,Galium paradoxum,刘心源,687,19510707,河北省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234700.jpg,,,,,,,,,, +,Galium paradoxum,"Q.Wang,K.Yao",99147,19990600,四川省,2400,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115564.jpg,,,,,,,,,, +,Galium paradoxum,K.M.Liou,325,19310617,湖北省,870,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113763.jpg,,,,,,,,,, +,Galium pusillosetosum,K.L.Chu,7350,19400311,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113651.jpg,,,,,,,,,, +细毛拉拉藤,Galium pusillosetosum,李安仁,10476,19590523,新疆维吾尔自治区,680,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0399678.jpg,,,,,,,,,, +怒江拉拉藤,Galium salwinense,张泽云、周洪富,23402,19570731,四川省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399703.jpg,,,,,,,,,, +怒江拉拉藤,Galium salwinense,C.W.Wang,66880,19351000,云南省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399701.jpg,,,,,,,,,, +,Galium spurium,Anonymous,115,19250428,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113761.jpg,,,,,,,,,, +,Galium spurium,崔友文,4267,19510708,四川省,3200,水边生,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113756.jpg,,,,,,,,,, +,Galium spurium,华东工作站同人,1684,19510608,,,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113757.jpg,,,,,,,,,, +麦仁珠,Galium tricornutum,北师大队,LPS2015010,20150722,宁夏省,,灌丛草地,,,https://image.cvh.ac.cn/files/l/BNU/0019231.jpg,,,,,,,,,, +麦仁珠,Galium tricornutum,邓姣姣、卫靜丽、刘常坤,LDW-49-V-057,20200926,四川,3463.74m,山坡灌丛,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02071071.jpg,,,,,,,,,, +三花拉拉藤,Galium triflorum,"D.E.Boufford,C.Y.Xi,T.S.Ying,C.J.Zhang et al.",26279,19940527,河南省,1400~1600,thickets along stream on steep slopes above boulder-strewn stream bed,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112491.jpg,,,,,,,,,, +三花拉拉藤,Galium triflorum,C.W.Wang,68279,19350800,云南省,3400,grassy slope on mt.,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110840.jpg,,,,,,,,,, +三花拉拉藤,Galium triflorum,David D.Taylor,8172,19841006,,,woods along four mile Creek,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064839.jpg,,,,,,,,,, +毛蓬子菜,Galium verum var. tomentosum,关克俭,1238,19570707,新疆维吾尔自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399927.jpg,,,,,,,,,, +毛蓬子菜,Galium verum var. tomentosum,黑龙江省荒地调查队,,19550709,黑龙江省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399932.jpg,,,,,,,,,, +毛果蓬子菜,Galium verum var. trachycarpum,何叶祺,4346,19590724,甘肃省,2100,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00869912.jpg,,,,,,,,,, +毛果蓬子菜,Galium verum var. trachycarpum,T.Tang,882,19290000,山西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399939.jpg,,,,,,,,,, +毛果蓬子菜,Galium verum var. trachycarpum,生物所,7401,19740711,四川省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399936.jpg,,,,,,,,,, +粗糙蓬子菜,Galium verum var. trachyphyllum,生物所,10191,19750709,四川省,3380,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399913.jpg,,,,,,,,,, +粗糙蓬子菜,Galium verum var. trachyphyllum,傅坤俊,7433,19530828,陕西省,650,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399920.jpg,,,,,,,,,, +粗糙蓬子菜,Galium verum var. trachyphyllum,周以良、傅沛雲,2029,19500828,吉林省,300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399924.jpg,,,,,,,,,, +,Galium verum var. verum,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13272,20160821,新疆,1788,碎石坡灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1458742.jpg,,,,,,,,,, +蓬子菜,Galium verum var. verum,徐浩东,20190710016,20190710,黑龙江,195,山地、草地,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0000933.jpg,,,,,,,,,, +,Gamblea ciliata,J.I.Jeon et al.,SI1497,20100812,四川省,2760,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01932327.jpg,,,,,,,,,, +,Gamblea ciliata,中甸队,1870,19620904,云南省,1500,山谷沟边铁杉松混合林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01710397.jpg,,,,,,,,,, +,Gamblea ciliata var. evodiifolia,刘恩德,650,20030506,云南省,2300,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02005295.jpg,,,,,,,,,, +,Gamblea ciliata var. evodiifolia,巴山采集队,5205,20110629,四川省,1760,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872598.jpg,,,,,,,,,, +,Gamblea ciliata var. evodiifolia,W.C.Cheng,3965,19331016,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00988597.jpg,,,,,,,,,, +山木瓜,Garcinia esculenta,青藏队,9162,19820809,云南省,1300~1400,山坡常绿阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01802628.jpg,,,,,,,,,, +山木瓜,Garcinia esculenta,秦仁昌,50607,19520000,云南省 ,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0406889.jpg,,,,,,,,,, +怒江藤黄,Garcinia nujiangensis,青藏队,9056,19820808,云南省,1400,山坡常绿林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01802626.jpg,,,,,,,,,, +怒江藤黄,Garcinia nujiangensis,青藏队,4206,19740811,西藏自治区,800,山坡阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01215925.jpg,,,,,,,,,, +大果藤黄,Garcinia pedunculata,青藏队植被组,3133,19740908,西藏自治区,1300,湖边山坡下部,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802629.jpg,,,,,,,,,, +大果藤黄,Garcinia pedunculata,云南林学院,s.n.,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01228246.jpg,,,,,,,,,, +双籽藤黄,Garcinia tetralata,H.T.Tsai,56853,19340208,云南省,1750,in ravine,,无花有果,https://image.cvh.ac.cn/files/l/PE/01228257.jpg,,,,,,,,,, +双籽藤黄,Garcinia tetralata,南大,,19520000,广西壮族自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/112187061.jpg,,,,,,,,,, +,Gardneria angustifolia,"蒋兴麟,张秀实",30122,19520425,四川省,,林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01647568.jpg,,,,,,,,,, +,Gardneria angustifolia,T.Yamazaki,6523,19910709,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01325085.jpg,,,,,,,,,, +,Gardneria angustifolia,T.N.Liou & P.C.Tsoong,2903,19350821,安徽省,1100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01324939.jpg,,,,,,,,,, +,Gardneria ovata,"李渤生,程树志",3878,19830328,西藏自治区,750,半常绿林中偶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048469.jpg,,,,,,,,,, +,Gardneria ovata,王启无,79313,19361000,云南省,1100,Mixed forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01325089.jpg,,,,,,,,,, +三芒耳稃草,Garnotia acutigluma,彭华 ,王泽欢,陈丽,PengH2012023,20121024,云南,2800,林缘路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402192.jpg,,,,,,,,,, +,Garnotia stricta,M.Ramos,,15-Dec,"L产Luzon, Province ",,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00014646.jpg,,,,,,,,,, +,Garnotia stricta,Elmer D.Merrill.,744,19081212,,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00631934.jpg,,,,,,,,,, +白头树,Garuga forrestii,绿春队,1222,19740531,云南省,330~800,河谷稀树灌丛或稀草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245253.jpg,,,,,,,,,, +白头树,Garuga forrestii,俞德俊,4131,19340000,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01248658.jpg,,,,,,,,,, +盆距兰,Gastrochilus calceolaris,Xiaohua Jin,8924,20070319,云南省,2000,epiphytic,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032953.jpg,,,,,,,,,, +盆距兰,Gastrochilus calceolaris,金效华,8906,20070301,海南省,834,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825211.jpg,,,,,,,,,, +列叶盆距兰,Gastrochilus distichus,Jin Xiaohua,9617,20090205,云南省,1500,hot and dry valle,,有花无果,https://image.cvh.ac.cn/files/l/PE/02106828.jpg,,,,,,,,,, +列叶盆距兰,Gastrochilus distichus,青藏队,73-896,19730726,西藏自治区,2400,山坡常绿林中陡岩附生,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032933.jpg,,,,,,,,,, +台湾盆距兰,Gastrochilus formosanus,蒋兴麟,37929,19531005,四川省,2240,寄生树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033073.jpg,,,,,,,,,, +台湾盆距兰,Gastrochilus formosanus,傅德志,83196,19830831,重庆市,,寄生于桂花树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033072.jpg,,,,,,,,,, +台湾盆距兰,Gastrochilus formosanus,桥本昭彦,81-B,19811125,台湾省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032936.jpg,,,,,,,,,, +细茎盆距兰,Gastrochilus intermedius,王启无,78187,19360900,云南省,1500,woods on tree bark,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033048.jpg,,,,,,,,,, +细茎盆距兰,Gastrochilus intermedius,刘正宇,3731,19821009,重庆市,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033049.jpg,,,,,,,,,, +细茎盆距兰,Gastrochilus intermedius,陈伟烈,14226,19800812,西藏自治区,1600,附生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377028.jpg,,,,,,,,,, +无茎盆距兰,Gastrochilus obliquus,Jin Xiaohua,8715,20070112,广西壮族自治区,,in limestone forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033057.jpg,,,,,,,,,, +无茎盆距兰,Gastrochilus obliquus,"陈心启,吉占和",68,19830318,云南省,,附生树上林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033055.jpg,,,,,,,,,, +小唇盆距兰,Gastrochilus pseudodistichus,Jin Weitao,13421,20120707,云南省,1700~1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233152.jpg,,,,,,,,,, +小唇盆距兰,Gastrochilus pseudodistichus,Luo Yi-bo,365,20000816,广西壮族自治区,1320,近山脚林木丛中 生于小树干上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033063.jpg,,,,,,,,,, +腹脐草,Gastrocotyle hispida,李振宇等,12417,20120729,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921144.jpg,,,,,,,,,, +腹脐草,Gastrocotyle hispida,,182,19580705,甘肃省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648866.jpg,,,,,,,,,, +天麻,Gastrodia elata,赵鑫磊,,20110519,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230243.jpg,,,,,,,,,, +天麻,Gastrodia elata,"Daeshin Kim,Sukyoung Kim",Halla0545,20140725,,809,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088618.jpg,,,,,,,,,, +天麻,Gastrodia elata,巴山采集队,6049,20120701,四川省,1220~1320,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059758.jpg,,,,,,,,,, +,Gaultheria brevistipes,Lu Lu,LL-07300,20070803,西藏自治区,2300~2400,"on the side of river,under the forest",,无花有果,https://image.cvh.ac.cn/files/l/KUN/1248329.jpg,,,,,,,,,, +短柄白珠,Gaultheria brevistipes,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14484,20161117,西藏,2337,公路边岩石上,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1448875.jpg,,,,,,,,,, +苍山白珠,Gaultheria cardiosepala,"Lu Lu with Peter W.Fritsch,Zhang Yong-Biao etc.",LL-2013-23,20130915,云南省,3238,coniferous forest occasional in humus moss and sand on exposed rock surfaces along bank of road cut in full sun S-facing slope mixed granite and metamorphics,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043291.jpg,,,,,,,,,, +苍山白珠,Gaultheria cardiosepala,G. Forrest,29668,19310600,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00195270.jpg,,,,,,,,,, +四川白珠,Gaultheria cuneata,,2179,19430601,贵州省,1700,山顶 强酸性砂质土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01600271.jpg,,,,,,,,,, +四川白珠,Gaultheria cuneata,王启无,66695,19350900,云南省,3000,山坡,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00195281.jpg,,,,,,,,,, +四川白珠,Gaultheria cuneata,,3716,19310926,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00195279.jpg,,,,,,,,,, +长梗白珠,Gaultheria dolichopoda,青藏队,74-3770,19740730,西藏自治区,3700,山坡路边草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00195496.jpg,,,,,,,,,, +长梗白珠,Gaultheria dolichopoda,S.W.China,12938,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0435748.jpg,,,,,,,,,, +长梗白珠,Gaultheria dolichopoda,陆露等,06-0005,20060605,云南省,2700~2900,on the moist open slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1251719.jpg,,,,,,,,,, +芳香白珠,Gaultheria fragrantissima,刘恩德等,3494,20120322,云南省,2362,forest margin,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920710.jpg,,,,,,,,,, +芳香白珠,Gaultheria fragrantissima,M.Suzuki et al.,9240080,19920514,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01523833.jpg,,,,,,,,,, +尾叶白珠,Gaultheria griffithiana,G.Forrest,29840,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855946.jpg,,,,,,,,,, +尾叶白珠,Gaultheria griffithiana,陶德定,68,19730917,云南省,1700,山坡林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855944.jpg,,,,,,,,,, +狭叶红粉白珠,Gaultheria hookeri var. angustifolia,朱水法,20097,19390825,四川省,2260,阴湿的常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00195617.jpg,,,,,,,,,, +狭叶红粉白珠,Gaultheria hookeri var. angustifolia,蔡希陶,63123,19341109,云南省,3400,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00195474.jpg,,,,,,,,,, +狭叶红粉白珠,Gaultheria hookeri var. angustifolia,H.T.Tsai,59936,19331021,云南省 ,2800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0435892.jpg,,,,,,,,,, +红粉白珠(原变种),Gaultheria hookeri var. hookeri,李红、白洪兵,533324180901659LY,20180901,云南,3297,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009459.jpg,,,,,,,,,, +红粉白株(原变种),Gaultheria hookeri var. hookeri,蔡杰,刘成,何谐,吕林玲,16CS11756,20160828,四川,2788,路边山坡灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1435410.jpg,,,,,,,,,, +绿背白珠,Gaultheria hypochlora,Lu Lu,LL-2013-38,20130918,云南省,3498,forest and alpine meadow with scattered bamboo.,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1248348.jpg,,,,,,,,,, +绿背白珠,Gaultheria hypochlora,Lu Lu etc.,LL-07135,20070724,西藏自治区,3600,"Rare on the open slope, in the meadow",,无花有果,https://image.cvh.ac.cn/files/l/KUN/1248568.jpg,,,,,,,,,, +绿背白珠,Gaultheria hypochlora,Lu Lu etc.,LL-2011-39,20110916,四川省,2908,Open or shaded slope,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1248590.jpg,,,,,,,,,, +短穗白珠,Gaultheria notabilis,"李渤生,程树志",4441,19830502,西藏自治区,2400,河边Alnus林下,石边时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00195459.jpg,,,,,,,,,, +短穗白珠,Gaultheria notabilis,H.T.Tsai,51543,19330115,云南省 ,1800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0436167.jpg,,,,,,,,,, +短穗白珠,Gaultheria notabilis,何树春,85071,19850207,云南省,1830,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0436166.jpg,,,,,,,,,, +铜钱叶白珠,Gaultheria nummularioides,藏东南考察队 金效华等,SET-ET 572,20090822,西藏自治区,1712,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02106117.jpg,,,,,,,,,, +铜钱叶白珠,Gaultheria nummularioides,WU SUGONG et al.,3408,19960930,云南省,2800,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02106097.jpg,,,,,,,,,, +铜钱叶白珠,Gaultheria nummularioides,胡文光,35380,19530825,四川省,2600,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01855963.jpg,,,,,,,,,, +平卧白珠,Gaultheria prostrata,,25531,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0436196.jpg,,,,,,,,,, +平卧白珠,Gaultheria prostrata,张书东,郁文彬,11,20070800,四川省,3000,in the alpine,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1251745.jpg,,,,,,,,,, +平卧白珠,Gaultheria prostrata,"张永洪, 李国栋, 王晓雄",SunH-07ZX-1702,20080917,云南,,苍山冷杉林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337714.jpg,,,,,,,,,, +华白珠(原变种),Gaultheria sinensis var. sinensis,白洪兵、和仕波,533324180819369LY,20180819,云南,3064.7,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009458.jpg,,,,,,,,,, +华白珠(原变种),Gaultheria sinensis var. sinensis,张挺,刘成,何华杰,19CS18181,20190907,西藏,3743,高山灌丛,半灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1506471.jpg,,,,,,,,,, +,Gaultheria suborbicularis,"Lu Lu with Liu Jie,Lu Renfu,Liu Tingxun",LL-07307,20070818,云南省,3600~3800,on the trail to Dabenying Meili Snow Mountains NW yunnan on the rotten wood under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064670.jpg,,,,,,,,,, +伏地白珠,Gaultheria suborbicularis,刀志灵,DZL343,20080916,云南,,针叶林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337735.jpg,,,,,,,,,, +四裂白珠,Gaultheria tetramera,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T256,20160917,西藏自治区,1594,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233425.jpg,,,,,,,,,, +四裂白珠,Gaultheria tetramera,考察队,32565,19820514,云南省,900,路边干燥,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855887.jpg,,,,,,,,,, +刺毛白珠,Gaultheria trichophylla,T.T.Yu,22292,19380811,云南省,4200,Mt. rocky place,,有花无果,https://image.cvh.ac.cn/files/l/PE/02107211.jpg,,,,,,,,,, +刺毛白珠,Gaultheria trichophylla,"罗建,汪书丽,任德智",LouJian-XY-0932,20091004,西藏自治区,2847,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054065.jpg,,,,,,,,,, +刺毛白珠,Gaultheria trichophylla,F. Billiet et J. Leonard,6613,19750816,,,"Between rocks, near water, wtih various suffrutex and herbs",,无花有果,https://image.cvh.ac.cn/files/l/PE/00254248.jpg,,,,,,,,,, +,Gaultheria trigonoclada,Lu Lu,LL-07216,20070726,西藏自治区,2300~2600,in the shade on the side of trail under the forest,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1248504.jpg,,,,,,,,,, +齿缘西藏白珠,Gaultheria wardii var. serrulata,青藏队,74-1712,19740810,西藏自治区,1300,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00198061.jpg,,,,,,,,,, +,Gaultheria wardii var. wardii,"刘成, 亚吉东, 李昌洪",18CS17168,20181111,西藏,1625,路边山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486629.jpg,,,,,,,,,, +阿坝龙胆,Gentiana abaensis,新疆队,227,19560803,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00060321.jpg,,,,,,,,,, +阿坝龙胆,Gentiana abaensis,李馨,72046,19570819,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00060241.jpg,,,,,,,,,, +阿坝龙胆,Gentiana abaensis,杨文华,234,19840923,云南省,2850,阴坡森林内,,有花无果,https://image.cvh.ac.cn/files/l/KUN/829869.jpg,,,,,,,,,, +银萼龙胆,Gentiana albicalyx,青藏队植被组,8175,19760602,西藏自治区,3960,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485816.jpg,,,,,,,,,, +膜边龙胆,Gentiana albomarginata,张书东,QJYS0195,20160503,云南省,2938,山坡草甸,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1395765.jpg,,,,,,,,,, +膜边龙胆,Gentiana albomarginata,白洪兵、李红,533324180426118LY,20180426,云南,3086,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG010042.jpg,,,,,,,,,, +,Gentiana albomarginata,"Delavay, J.M.",,1887-4-2,,,,,,https://image.cvh.ac.cn/files/l/P/P00517482.jpg,,,,,,,,,, +繁缕状龙胆,Gentiana alsinoides,青藏队,6468,19820512,云南省,2600,山坡云南松林缘草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00060374.jpg,,,,,,,,,, +繁缕状龙胆,Gentiana alsinoides,,4440,19300000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0489309.jpg,,,,,,,,,, +椭叶龙胆,Gentiana altigena,王启无,66253,19350900,西藏自治区,3500,Among meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399818.jpg,,,,,,,,,, +椭叶龙胆,Gentiana altigena,中甸队,1918,19620908,云南省,4200,湖边石上成丛,与苔鲜共生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00060381.jpg,,,,,,,,,, +,Gentiana altigena,"Handel-Mazzetti, Heinrich",9878,15-Aug-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00001707.jpg,,,,,,,,,, +道孚龙胆,Gentiana altorum,T.N.Ho et al.,2732,19960831,青海省,4480,Growing in kobresia meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399817.jpg,,,,,,,,,, +道孚龙胆,Gentiana altorum,青藏队补点组,751471,19750821,西藏自治区,4200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00060393.jpg,,,,,,,,,, +道孚龙胆,Gentiana altorum,M.S.M.,13927,19341200,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00060389.jpg,,,,,,,,,, +硕花龙胆,Gentiana amplicrater,西藏中草药普查队,2030,19721010,西藏自治区,4200,山坡低湿沼泽草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485797.jpg,,,,,,,,,, +异药龙胆,Gentiana anisostemon,F.Rock,24982,19320400,云南省,4333,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00060408.jpg,,,,,,,,,, +异药龙胆,Gentiana anisostemon,F.Rock,24982,19320400,云南省 ,3965,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0489317.jpg,,,,,,,,,, +刺芒龙胆,Gentiana aristata,PE西藏采集队,8066,20180615,西藏自治区,4154~4259,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332456.jpg,,,,,,,,,, +刺芒龙胆,Gentiana aristata,汤宗孝,1323,19830703,四川省,3850,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115355.jpg,,,,,,,,,, +刺芒龙胆,Gentiana aristata,何叶祺,4228,19590722,甘肃省,2800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104645.jpg,,,,,,,,,, +天冬叶龙胆,Gentiana asparagoides,T.T.Yu,19747,19380807,云南省,3800,Alpine Swamp,,有花无果,https://image.cvh.ac.cn/files/l/PE/00060574.jpg,,,,,,,,,, +,Gentiana asparagoides,"Yü, Tse-tsun",19747,7-Aug-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00001759.jpg,,,,,,,,,, +星萼龙胆,Gentiana asterocalyx,北京所横断山队,2669,19810805,云南省,2900,白水二岸 云南松林内草地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555407.jpg,,,,,,,,,, +星萼龙胆,Gentiana asterocalyx,,10495,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0489333.jpg,,,,,,,,,, +黑紫龙胆,Gentiana atropurpurea,T.T.Yu,10203,19370826,云南省,3800,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00060582.jpg,,,,,,,,,, +黑紫龙胆,Gentiana atropurpurea,T.T.Yu,12812,19370821,四川省,3200,Mt.slope open et sandy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00060580.jpg,,,,,,,,,, +阿墩子龙胆,Gentiana atuntsiensis,中国科学院自然资源综合考察组资料室,837,19730813,西藏自治区,3500,石塘地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104682.jpg,,,,,,,,,, +阿墩子龙胆,Gentiana atuntsiensis,北京所横断山队,3305,19810818,云南省,4300,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104655.jpg,,,,,,,,,, +秀丽龙胆,Gentiana bella,云南热带生物资源综合考察队,12,19600503,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00066027.jpg,,,,,,,,,, +秀丽龙胆,Gentiana bella,Delavay,2632,18871200,云南省 ,3200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0489360.jpg,,,,,,,,,, +波密龙胆,Gentiana bomiensis,罗建等,LuoJian-XZ-0917,20090620,西藏自治区,3422,林缘砾石地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916588.jpg,,,,,,,,,, +波密龙胆,Gentiana bomiensis,王辰,LZ044,20120710,西藏,4200,,,,https://image.cvh.ac.cn/files/l/BNU/0014110.jpg,,,,,,,,,, +波密龙胆,Gentiana bomiensis,方震东,365,19870820,云南省,3800,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003019.jpg,,,,,,,,,, +卵萼龙胆,Gentiana bryoides,张经炜,2466,19610522,西藏自治区,4000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00066051.jpg,,,,,,,,,, +卵萼龙胆,Gentiana bryoides,郑斌,66,20150905,四川,3000,路边草地,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0178581.jpg,,,,,,,,,, +白条纹龙胆,Gentiana burkillii,青藏队植被组,13259,19760712,西藏自治区,3900,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485823.jpg,,,,,,,,,, +白条纹龙胆,Gentiana burkillii,Ho Ting-nung et al.,1322,19930817,青海省,4190,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399792.jpg,,,,,,,,,, +缅甸龙胆,Gentiana burmensis,武素功,8789,19640912,云南省,4300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/550669.jpg,,,,,,,,,, +天蓝龙胆,Gentiana caelestis,,1695,19941004,云南省,4200,Steep stony banks among berberis and dwarf Rhododendron,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399830.jpg,,,,,,,,,, +天蓝龙胆,Gentiana caelestis,G.Forrest,20875,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00066107.jpg,,,,,,,,,, +头状龙胆,Gentiana capitata,"刘成, 亚吉东, 李昌洪",18CS17173,20181111,西藏,1738,路上方草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486618.jpg,,,,,,,,,, +头状龙胆,Gentiana capitata,G.Murata H.Ohashi,9987,19670426,Samtengang,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/5500716.jpg,,,,,,,,,, +头状龙胆,Gentiana capitata,西藏中草药普查队,126,19720604,西藏自治区,3100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/29663.jpg,,,,,,,,,, +石竹叶龙胆,Gentiana caryophyllea,H.T.Tsai,58200,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0489379.jpg,,,,,,,,,, +石竹叶龙胆,Gentiana caryophyllea,冯国楣,7776,19400915,云南省,3900~3700,草坡上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/550720.jpg,,,,,,,,,, +石竹叶龙胆,Gentiana caryophyllea,蔡希陶,58200,0,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/550717.jpg,,,,,,,,,, +头花龙胆,Gentiana cephalantha,"H.Li,S.X.Yang,R.Li etc.",984,20021108,云南省,2520,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110829.jpg,,,,,,,,,, +中国龙胆,Gentiana chinensis,"Q.Wang ,K.Yao",7001,19990800,福建省,1100,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115553.jpg,,,,,,,,,, +中国龙胆,Gentiana chinensis,中甸队,1546,19620828,云南省,3700,阴坡落叶松林下匍匐苔藓上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00066330.jpg,,,,,,,,,, +中国龙胆,Gentiana chinensis,方文培,8222,19300814,四川省,3000,in rock,,有花无果,https://image.cvh.ac.cn/files/l/PE/00066327.jpg,,,,,,,,,, +反折花龙胆,Gentiana choanantha,D.E.Boufford et al.,39137,20070806,四川省,3570~3730,On hummocks in meadow by stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885760.jpg,,,,,,,,,, +反折花龙胆,Gentiana choanantha,史国定,72,19800900,青海省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0489423.jpg,,,,,,,,,, +中甸龙胆,Gentiana chungtienensis,青藏队横断山队,4379,19810827,四川省,4000,山沟 冰冲积地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132483.jpg,,,,,,,,,, +中甸龙胆,Gentiana chungtienensis,青藏队横断山队,1414,19810623,云南省,3200,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132476.jpg,,,,,,,,,, +,Gentiana clarkei,Ho Ting-nung et al.,1426,19930819,青海省,4190,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399836.jpg,,,,,,,,,, +西域龙胆,Gentiana clarkei,西藏综考队,3742,19610811,西藏自治区,4600,山上,,,https://image.cvh.ac.cn/files/l/PE/00066367.jpg,,,,,,,,,, +对折龙胆,Gentiana conduplicata,T.T.Yu,9386,19570804,云南省,4050,小溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00066365.jpg,,,,,,,,,, +对折龙胆,Gentiana conduplicata,H.Smith,11065,19340803,四川省,3800~4000,潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00066364.jpg,,,,,,,,,, +,Gentiana conduplicata,"Smith, Karl August Harald",11065,3-Aug-34,,,,,,https://image.cvh.ac.cn/files/l/E/E00001756.jpg,,,,,,,,,, +粗茎秦艽,Gentiana crassicaulis,青藏队,3127,19810801,四川省,3400,山坡灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104677.jpg,,,,,,,,,, +粗茎秦艽,Gentiana crassicaulis,汤宗孝,526,19810703,云南省,3730,山间平坝草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647601.jpg,,,,,,,,,, +粗茎秦艽,Gentiana crassicaulis,青藏队植被组,8772,19760629,西藏自治区,4000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496110.jpg,,,,,,,,,, +景天叶龙胆,Gentiana crassula,北京所横断山队,2866,19810810,云南省,3900~4100,高山 流石滩 斑状草甸及冷杉林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555421.jpg,,,,,,,,,, +景天叶龙胆,Gentiana crassula,青藏队植被组,6153,19750922,西藏自治区,4780,低丘缓坡砂土阳坡草原(化草甸),,有花无果,https://image.cvh.ac.cn/files/l/PE/01484722.jpg,,,,,,,,,, +肾叶龙胆,Gentiana crassuloides,"J.I.Jeon,H.S.Lee,H.J.Eom,Y.J.Park et B.Liu",SI1372,20100810,四川省,3662,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101670.jpg,,,,,,,,,, +肾叶龙胆,Gentiana crassuloides,白水江考察队,464,20060627,甘肃省,3300,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612565.jpg,,,,,,,,,, +圆齿褶龙胆,Gentiana crenulatotruncata,"D.E.Boufford, J.H.Chen, S.L.Kelley, J.Li, R.H.Ree,",31958,20040810,西藏,4570-4850,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026530.jpg,,,,,,,,,, +脊突龙胆,Gentiana cristata,T.T.Yu,8572,19370617,云南省,3250,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00072661.jpg,,,,,,,,,, +脊突龙胆,Gentiana cristata,T.T.Yu,5608,19370522,四川省,2600,under thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00072659.jpg,,,,,,,,,, +髯毛龙胆,Gentiana cuneibarba,C.W.Wang,65712,19350800,西藏自治区,3200,Under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00072677.jpg,,,,,,,,,, +髯毛龙胆,Gentiana cuneibarba,T.T.Yu,23187,19381001,云南省,3800,Sidefo mt .stream.grassy piace,,有花有果,https://image.cvh.ac.cn/files/l/PE/00072673.jpg,,,,,,,,,, +深裂龙胆,Gentiana damyonensis,陈伟烈,15157,19800924,西藏自治区,3900,灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555443.jpg,,,,,,,,,, +深裂龙胆,Gentiana damyonensis,T.T.Yii,22754,19381002,云南省,4000,Mt.rocky place,,有花有果,https://image.cvh.ac.cn/files/l/PE/00072933.jpg,,,,,,,,,, +深裂龙胆,Gentiana damyonensis,管中天,8039,19590423,四川省,2850~3250,高山灌木草原 山坡上部2/3,,有花无果,https://image.cvh.ac.cn/files/l/PE/00072929.jpg,,,,,,,,,, +稻城龙胆,Gentiana daochengensis,T.T.Yu,13001,19370829,四川省,3700,Grassland along side of mt.stream,herb,有花有果,https://image.cvh.ac.cn/files/l/PE/00072937.jpg,,,,,,,,,, +稻城龙胆,Gentiana daochengensis,俞德浚,13001,19370829,四川,3700,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/428393.jpg,,,,,,,,,, +美龙胆,Gentiana decorata,"程树志,李渤生",664,19820905,西藏自治区,4100~4400,高山,山顶,灌丛,草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377994.jpg,,,,,,,,,, +美龙胆,Gentiana decorata,,s.n.,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073041.jpg,,,,,,,,,, +斜升秦艽,Gentiana decumbens,秦仁昌,1105,19560705,新疆维吾尔自治区,2500,山坡、潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892007.jpg,,,,,,,,,, +斜升秦艽,Gentiana decumbens,,,19240700,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073085.jpg,,,,,,,,,, +微籽龙胆,Gentiana delavayi,蓝顺彬,336,19841111,云南省,2200,向阳山坡草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073118.jpg,,,,,,,,,, +微籽龙胆,Gentiana delavayi,T.T.Yu,1730,19321017,四川省,2900,Mt.slope grassy place,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073088.jpg,,,,,,,,,, +三角叶龙胆,Gentiana deltoidea,T.T.Yu,7150,19370710,四川省,3400,mt.slope grassy place,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073128.jpg,,,,,,,,,, +三角叶龙胆,Gentiana deltoidea,联大,21509,0,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/551123.jpg,,,,,,,,,, +龙胆属,Gentiana depressa,"张建文,李彦波,孙露,张成,阳亿",ZJW-3339,20150822,西藏自治区,3800~4050,高山草甸,,,https://image.cvh.ac.cn/files/l/KUN/1274355.jpg,,,,,,,,,, +平龙胆,Gentiana depressa,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-1108-T05-003004,20171125,西藏,3775,Forests on hillside,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1451777.jpg,,,,,,,,,, +长萼龙胆,Gentiana dolichocalyx,D.E.Boufford et al.,40000,20070819,四川省,3485~3520,meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885766.jpg,,,,,,,,,, +长萼龙胆,Gentiana dolichocalyx,T.N.Ho et al.,3006,19960908,青海省,3790,Growing among shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399897.jpg,,,,,,,,,, +无尾尖龙胆,Gentiana ecaudata,T.T.Yu,20626,19381011,云南省,3500,Alpine grassland,,有花无果,https://image.cvh.ac.cn/files/l/PE/00073210.jpg,,,,,,,,,, +无尾尖龙胆,Gentiana ecaudata,,22797,,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073211.jpg,,,,,,,,,, +壶冠龙胆,Gentiana elwesii,青藏队,74-2370,19740912,西藏自治区,4200,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00073213.jpg,,,,,,,,,, +壶冠龙胆,Gentiana elwesii,H.Kanai Y.Tateishi,775202,19770820,Topke Gola,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/551161.jpg,,,,,,,,,, +扇叶龙胆,Gentiana emodii,,A87-190,87.08.06,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00029894.jpg,,,,,,,,,, +扇叶龙胆,Gentiana emodii,,6863,19750603,西藏,2700,,,无花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092523.jpg,,,,,,,,,, +齿褶龙胆,Gentiana epichysantha,T.T.Yu,11917,19370705,云南省,3200,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073244.jpg,,,,,,,,,, +齿褶龙胆,Gentiana epichysantha,谢朝俊,41186,19550000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073238.jpg,,,,,,,,,, +齿褶龙胆,Gentiana epichysantha,T.N.Liou,21313,19401005,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0489593.jpg,,,,,,,,,, +,Gentiana erectosepala,罗建等,LuoJian-XZ-0939,20091014,西藏自治区,4533,高山灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01916595.jpg,,,,,,,,,, +直萼龙胆,Gentiana erectosepala,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,509,20120803,西藏,,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230396.jpg,,,,,,,,,, +,Gentiana exigua,姜恕等,8258,19600502,云南省,2400,山间沟谷间路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073273.jpg,,,,,,,,,, +,Gentiana exigua,"T.Naito,K.Y.Lang,Y.Tateishi,T.Nemoto&B.S.Li",376,19860429,四川省,1600,Onsunny rocky slope.Shrub.,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073272.jpg,,,,,,,,,, +丝瓣龙胆,Gentiana exquisita,T.T.Yu,20254,19480914,云南省,3300,Alpine meadow or side of dwamp,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073278.jpg,,,,,,,,,, +,Gentiana exquisita,"Yü, Tse-tsun",20254,14-Sep-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00001795.jpg,,,,,,,,,, +毛喉龙胆,Gentiana faucipilosa,张经炜,6264,19730812,西藏自治区,3500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485951.jpg,,,,,,,,,, +毛喉龙胆,Gentiana faucipilosa,T.T.Yu,20795,19381020,云南省,3800,Mt.slope open et gandy place,,无花有果,https://image.cvh.ac.cn/files/l/PE/00073283.jpg,,,,,,,,,, +丝柱龙胆,Gentiana filistyla,青藏队植被组,3433,19740926,西藏自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01484745.jpg,,,,,,,,,, +丝柱龙胆,Gentiana filistyla,T.T.Yu,9048a.,19370000,云南省,4000,Grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073307.jpg,,,,,,,,,, +弯茎龙胆,Gentiana flexicaulis,F.T.Wang,21017,19300529,四川省,2800,on grassy slope.,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073322.jpg,,,,,,,,,, +弯茎龙胆,Gentiana flexicaulis,俞德浚,20224,19380913,云南省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/551219.jpg,,,,,,,,,, +弯茎龙胆,Gentiana flexicaulis,K.T. Fu,2574,1939/4/3,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0054199.jpg,,,,,,,,,, +美丽龙胆,Gentiana formosa,S.Saito,7244,19291023,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591836.jpg,,,,,,,,,, +美丽龙胆,Gentiana formosa,T.T.Yu,20224,19380913,云南省,2700,Under woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073325.jpg,,,,,,,,,, +青藏龙胆,Gentiana futtereri,J.F.Rock,13399,19250900,青海省,3333,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073372.jpg,,,,,,,,,, +青藏龙胆,Gentiana futtereri,杨金祥,2257,19630818,西藏自治区,4500,河滩草甸,,有花无果,https://image.cvh.ac.cn/files/l/KUN/551747.jpg,,,,,,,,,, +青藏龙胆,Gentiana futtereri,"岳伟, 苏旭, 王玉金",LiuJQ-2011-WYJ-231,20110925,四川,,温带灌丛坡地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1376401.jpg,,,,,,,,,, +滇西龙胆,Gentiana georgei,吴玉虎等,7430,19900829,青海省,3600~3700,山坡干旱石隙,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591837.jpg,,,,,,,,,, +滇西龙胆,Gentiana georgei,,1360,19940926,云南省,4400,scree grazed turf and amongst,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399949.jpg,,,,,,,,,, +滇西龙胆,Gentiana georgei,George Forrest,22984,,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073421.jpg,,,,,,,,,, +圆球龙胆,Gentiana globosa,西藏中草药普查队,2045,19721011,西藏自治区,4300,山坡 灌丛间 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496103.jpg,,,,,,,,,, +圆球龙胆,Gentiana globosa,T.T.Yu,14564,19371018,四川省,3700,草坡,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00073429.jpg,,,,,,,,,, +长流苏龙胆,Gentiana grata,广西队,4259,19530600,广西壮族自治区,,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009204.jpg,,,,,,,,,, +长流苏龙胆,Gentiana grata,北京所横断山队,757,19810622,云南省,3700~3800,高山草甸中常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555422.jpg,,,,,,,,,, +长流苏龙胆,Gentiana grata,俞德浚,20272,19380915,云南,2900,Margin of alpine swamp,,有花无果,https://image.cvh.ac.cn/files/l/KUN/551279.jpg,,,,,,,,,, +南山龙胆,Gentiana grumii,郭本兆,9069,19710612,青海省,,林区路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073441.jpg,,,,,,,,,, +南山龙胆,Gentiana grumii,马健力,72,19600725,甘肃省,2750,潮湿山谷、河滩皆生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00073436.jpg,,,,,,,,,, +吉隆龙胆,Gentiana gyirongensis,"李渤生,李辉",14292,19901023,西藏自治区,3650,Betula 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196284.jpg,,,,,,,,,, +吉隆龙胆,Gentiana gyirongensis,F.Miyamoto etc.,9580254,19950809,,4800,on grassland slopes,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264703.jpg,,,,,,,,,, +斑点龙胆,Gentiana handeliana,北京所横断山队,3586,19810824,云南省,4300~4300,高山 灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555429.jpg,,,,,,,,,, +斑点龙胆,Gentiana handeliana,王启无,65639,19350800,西藏自治区,3500,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00073457.jpg,,,,,,,,,, +扭果柄龙胆,Gentiana harrowiana,北京所横断山队,3560,19810823,云南省,4150~4300,高山 灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555425.jpg,,,,,,,,,, +扭果柄龙胆,Gentiana harrowiana,"李渤生,程树志",1203,19821010,西藏自治区,4000~4200,高山草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377975.jpg,,,,,,,,,, +钻叶龙胆,Gentiana haynaldi,D.E.boufford B.Bartholomew S.L.Kelley et al,37379,20060827,四川省,3960,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101995.jpg,,,,,,,,,, +钻叶龙胆,Gentiana haynaldi,T.N.Ho B.Bartholomew M.Watson et al,1956,19960818,青海省,3980,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440180.jpg,,,,,,,,,, +钻叶龙胆,Gentiana haynaldi,,1936,19941011,云南省,3590,Grassy banks in open forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399908.jpg,,,,,,,,,, +针叶龙胆,Gentiana heleonastes,Ho Ting-nung et al.,542,19930730,青海省,3870,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399909.jpg,,,,,,,,,, +针叶龙胆,Gentiana heleonastes,陈伟烈等,7192,19840702,四川省,4350,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073518.jpg,,,,,,,,,, +针叶龙胆,Gentiana heleonastes,K.M.Feng,2399,19390920,云南省,,草绿内,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073519.jpg,,,,,,,,,, +喜湿龙胆,Gentiana helophila,秦仁昌,31108,194010,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/551315.jpg,,,,,,,,,, +,Gentiana helophila,"Forrest, George",15187,17-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00001686.jpg,,,,,,,,,, +六叶龙胆,Gentiana hexaphylla,"李良千,王忠涛,杜玉芬,卫然",299,20110915,甘肃省,3400,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01914276.jpg,,,,,,,,,, +六叶龙胆,Gentiana hexaphylla,D.E.Boufford et al.,34795,20050814,四川省,4370~4485,Meadow and less frequently on scree slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885767.jpg,,,,,,,,,, +六叶龙胆,Gentiana hexaphylla,,1692,19941004,云南省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399912.jpg,,,,,,,,,, +小耳褶龙胆,Gentiana infelix,青藏队补点队,751555,19750825,西藏自治区,4500,山顶草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073559.jpg,,,,,,,,,, +小耳褶龙胆,Gentiana infelix,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,427,20120801,西藏,,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230394.jpg,,,,,,,,,, +帚枝龙胆,Gentiana intricata,青藏队,2004,19810630,云南省,3300~3400,高山松-黄背栎林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132481.jpg,,,,,,,,,, +帚枝龙胆,Gentiana intricata,Musee Heude,,18890717,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00072276.jpg,,,,,,,,,, +中亚秦艽,Gentiana kaufmanniana,"张新时,郭柯",天山-555,19860813,新疆维吾尔自治区,2475,高寒草原 T-072,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080877.jpg,,,,,,,,,, +中亚秦艽,Gentiana kaufmanniana,N.V.Trulevitsch,s.n.,19670811,,,"in convalle glacii,pratum alpinum.",,有花有果,https://image.cvh.ac.cn/files/l/PE/00073620.jpg,,,,,,,,,, +撕裂边龙胆,Gentiana lacerulata,"应俊生,洪德元",650820,19650802,西藏自治区,4230,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073641.jpg,,,,,,,,,, +撕裂边龙胆,Gentiana lacerulata,J.M.Delavay,,18871021,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00077370.jpg,,,,,,,,,, +条裂龙胆,Gentiana lacinulata,"应俊生,洪德元",650820,19650802,西藏自治区,4230,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073642.jpg,,,,,,,,,, +条裂龙胆,Gentiana lacinulata,王辰,,20110628,西藏,,,,,https://image.cvh.ac.cn/files/l/BNU/0011551.jpg,,,,,,,,,, +蔓枝龙胆,Gentiana leptoclada,T.T.Yu,18277,19381212,云南省,2500,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073755.jpg,,,,,,,,,, +蔓枝龙胆,Gentiana leptoclada,T.T.Yu,1700,19321016,四川省,2600,under wood,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073748.jpg,,,,,,,,,, +蔓枝龙胆,Gentiana leptoclada,刘慎谔,22798,19461111,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0489698.jpg,,,,,,,,,, +蓝白龙胆,Gentiana leucomelaena,PE西藏考察队,7538,20180619,西藏自治区,4374,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332450.jpg,,,,,,,,,, +蓝白龙胆,Gentiana leucomelaena,"Ho Tnung,Bruce Bartholomew & Mike Gilbert",370,19930726,青海省,3760,"Riverine alpine meadow,heavily overgrazed.",,有花无果,https://image.cvh.ac.cn/files/l/PE/02104679.jpg,,,,,,,,,, +全萼秦艽,Gentiana lhassica,,699,19640819,青海省,4400,阳坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485908.jpg,,,,,,,,,, +全萼秦艽,Gentiana lhassica,陶德定,11246,19760906,西藏自治区,4500~4800,山坡草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485906.jpg,,,,,,,,,, +四数龙胆,Gentiana lineolata,"H.Li,S.X.Yang,R.Li etc.",651,20021106,云南省,2530,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110380.jpg,,,,,,,,,, +四数龙胆,Gentiana lineolata,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073883.jpg,,,,,,,,,, +亚麻状龙胆,Gentiana linoides,北京植物所横断山队,1697,19810719,云南省,3600,山脊 亚高山草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555399.jpg,,,,,,,,,, +亚麻状龙胆,Gentiana linoides,Delavay,s.n.,18860318,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0489725.jpg,,,,,,,,,, +泸定龙胆,Gentiana ludingensis,T.Naito et al. ,480,19860429,四川省,2100,Prosteate on sunny ground,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073994.jpg,,,,,,,,,, +泸定龙胆,Gentiana ludingensis,毛品一,4159,19540505,云南省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00047927.jpg,,,,,,,,,, +大颈龙胆,Gentiana macrauchena,李才贵,212,19840828,山西省,2600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081540.jpg,,,,,,,,,, +大颈龙胆,Gentiana macrauchena,李振宇,11739,20090426,湖北省,1400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066187.jpg,,,,,,,,,, +大颈龙胆,Gentiana macrauchena,"尹志坚,董洪进",601,20090420,云南省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005693.jpg,,,,,,,,,, +马耳山龙胆,Gentiana maeulchanensis,北京植物所横断山队,285,19810530,云南省,2900,针阔混交林 铁杉林内 空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555400.jpg,,,,,,,,,, +马耳山龙胆,Gentiana maeulchanensis,管中天,8018,19590423,四川省,3500,火烧陆地 山坡上部1/3,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088263.jpg,,,,,,,,,, +米林龙胆,Gentiana mailingensis,西藏中草药普查队,3803,19720714,西藏自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/30618.jpg,,,,,,,,,, +亮叶龙胆,Gentiana micans,青藏队,74-2664,19740918,西藏自治区,4300,山坡草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088344.jpg,,,,,,,,,, +亮叶龙胆,Gentiana micans,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201705,20200812,西藏,4900,湖边沙地,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508913.jpg,,,,,,,,,, +类亮叶龙胆,Gentiana micantiformis,PE西藏考察队,7303,20180615,西藏自治区,4154~4259,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332455.jpg,,,,,,,,,, +类亮叶龙胆,Gentiana micantiformis,H.Kanai H.Ohashi,7518,19670521,Rikuzen,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/551641.jpg,,,,,,,,,, +类亮叶龙胆,Gentiana micantiformis,王为义等,51,19850613,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/109465.jpg,,,,,,,,,, +小齿龙胆,Gentiana microdonta,"尹志坚,董洪进,向春雷",1236,20090715,云南省,3900,roadsides,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005713.jpg,,,,,,,,,, +小齿龙胆,Gentiana microdonta,236 四川任务组,638,19710801,四川省,3100,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01533059.jpg,,,,,,,,,, +藓生龙胆,Gentiana muscicola,"程树志,李渤生",170,19820816,西藏自治区,3800~4000,高山灌丛中下部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377990.jpg,,,,,,,,,, +藓生龙胆,Gentiana muscicola,T.T.Yu,19686,19380806,云南省,3200~3500,Under woods shady & moist place,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088372.jpg,,,,,,,,,, +墨脱龙胆,Gentiana namlaensis,西藏中草药普查队,4614,19721009,西藏自治区,4500~4800,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485892.jpg,,,,,,,,,, +,Gentiana namlaensis,"Ludlow, Francis & Sherriff, George",2054,15-Aug-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00001831.jpg,,,,,,,,,, +钟花龙胆,Gentiana nanobella,,1250,19940924,云南省,4300,Open moorland among dwarf,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399925.jpg,,,,,,,,,, +钟花龙胆,Gentiana nanobella,青藏队横断山队,4379,19810827,四川省,4000,山沟 冰冲积地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132484.jpg,,,,,,,,,, +钟花龙胆,Gentiana nanobella,王启无,66237,19350900,西藏自治区,3000,Mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088403.jpg,,,,,,,,,, +菔根龙胆,Gentiana napulifera,北京植物所横断山队,579,19810610,云南省,1900,干旱 山坡 次生 云南松林内 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555438.jpg,,,,,,,,,, +菔根龙胆,Gentiana napulifera,管中天,7345,19590415,四川省,1580,山坡上部2/3,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088410.jpg,,,,,,,,,, +宁蒗龙胆,Gentiana ninglangensis,K.M.Feng,898,19390520,云南省,,红坡附近草地上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088414.jpg,,,,,,,,,, +宁蒗龙胆,Gentiana ninglangensis,F.Rock,24210,19320500,云南省 ,2745,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0489874.jpg,,,,,,,,,, +宁蒗龙胆,Gentiana ninglangensis,俞德浚,5296,19370508,宁夏回族自治区,2600,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/428405.jpg,,,,,,,,,, +云雾龙胆,Gentiana nubigena,D.E.Boufford et al.,39814,20070816,四川省,4260~4400,Rocky slopes and grassy areas among boulders,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885768.jpg,,,,,,,,,, +云雾龙胆,Gentiana nubigena,Ho Ting-nung et al.,1363,19930817,青海省,4600~4730,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399929.jpg,,,,,,,,,, +云雾龙胆,Gentiana nubigena,钟补求,5206,19520811,西藏自治区,,高山草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088456.jpg,,,,,,,,,, +林芝龙胆,Gentiana nyingchiensis,"T.Naito,K.Y.Lang,Y.Tateishi,T.Nemoto & B.S.Li",1124,19860517,西藏自治区,3800~3900,On sunny wet mossy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088459.jpg,,,,,,,,,, +倒锥花龙胆,Gentiana obconica,PE西藏队,PE5375,20170828,西藏自治区,4019,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330685.jpg,,,,,,,,,, +倒锥花龙胆,Gentiana obconica,,2084,19941013,云南省,3680,Rhododendron and deciduous forest and open grassland,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399900.jpg,,,,,,,,,, +黄管秦艽,Gentiana officinalis,汤宗孝,777,19820820,四川省,4000,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647619.jpg,,,,,,,,,, +黄管秦艽,Gentiana officinalis,Ho Ting-nung et al.,300,19930724,青海省,3160,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399902.jpg,,,,,,,,,, +楔湾缺秦艽,Gentiana olivieri,,735,64.08.20,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00030026.jpg,,,,,,,,,, +集花龙胆,Gentiana olivieri,塔里木大学资源调查组,Li2J0132,20080714,新疆,2525米,山前平原,草本,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU01696.jpg,,,,,,,,,, +山景龙胆,Gentiana oreodoxa,,467,19640807,青海省,4500,山顶草甸,半阴坡或路边处草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083099.jpg,,,,,,,,,, +山景龙胆,Gentiana oreodoxa,平措,3-104,19850820,西藏自治区,4500,山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399905.jpg,,,,,,,,,, +山景龙胆,Gentiana oreodoxa,俞德浚,14250,19370912,四川省,3400,丛林中,草坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/552568.jpg,,,,,,,,,, +耳褶龙胆,Gentiana otophora,毛品一,420,19560826,云南省,2800,森林边缘残余林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088609.jpg,,,,,,,,,, +类耳褶龙胆,Gentiana otophoroides,J.F.Rock,21977,19320500,西藏自治区,4167,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088616.jpg,,,,,,,,,, +类耳褶龙胆,Gentiana otophoroides,George Forrest,22930,19221000,云南省,4333~4667,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088615.jpg,,,,,,,,,, +流苏龙胆,Gentiana panthaica,尹志坚等,1184,20090713,云南省,2900,"forest margins,roadsides",,有花有果,https://image.cvh.ac.cn/files/l/PE/01921173.jpg,,,,,,,,,, +流苏龙胆,Gentiana panthaica,黔北队,649,19590504,贵州省,,山顶 路旁 梁脊 潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01299452.jpg,,,,,,,,,, +流苏龙胆,Gentiana panthaica,B.Bartholomew et al.,170,19800826,湖北省,3000,thickets and disturbed meadow with Abies chensiensis,,有花有果,https://image.cvh.ac.cn/files/l/PE/01021353.jpg,,,,,,,,,, +乳突龙胆,Gentiana papillosa,生态室高原组,15404,19800906,西藏自治区,3800,高山 草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495988.jpg,,,,,,,,,, +乳突龙胆,Gentiana papillosa,Dr.Heinr.Frh.v.Handel-Mazzetti,6443,19150523,云南省,2275,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088850.jpg,,,,,,,,,, +乳突龙胆,Gentiana papillosa,汪发缵,1960,0,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/552392.jpg,,,,,,,,,, +小龙胆,Gentiana parvula,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1724,20130821,西藏自治区,,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000808.jpg,,,,,,,,,, +小龙胆,Gentiana parvula,陈世龙、高庆波、张发起等,Chensl-1230,20110723,青海省,4150,高寒草甸,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00000271.jpg,,,,,,,,,, +小龙胆,Gentiana parvula,王清泉,4909,1974-6 2,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0115815.jpg,,,,,,,,,, +糙毛龙胆,Gentiana pedicellata,PE西藏队,PE5170,20170826,西藏自治区,4346,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330664.jpg,,,,,,,,,, +糙毛龙胆,Gentiana pedicellata,华南队,82,19890425,广西壮族自治区,1200,山坡,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009199.jpg,,,,,,,,,, +叶萼龙胆,Gentiana phyllocalyx,"李渤生,程树志",641,19820905,西藏自治区,4400,高山,灌丛,草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098765.jpg,,,,,,,,,, +叶萼龙胆,Gentiana phyllocalyx,北京植物所横断山队,1482,19810713,云南省,3600,高山 灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555397.jpg,,,,,,,,,, +着色龙胆,Gentiana picta,"田,张",样83,19810822,云南省,3040,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01398897.jpg,,,,,,,,,, +着色龙胆,Gentiana picta,T.T.Yu,14807,19371130,四川省,3000,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088761.jpg,,,,,,,,,, +,Gentiana pluviarum subsp. subtilis,"Handel-Mazzetti, Heinrich",9941,26-Aug-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00001787.jpg,,,,,,,,,, +脊萼龙胆,Gentiana praeclara,,1932,19941011,云南省,3360,Pine forest by road,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399898.jpg,,,,,,,,,, +脊萼龙胆,Gentiana praeclara,Harry Smith,12824,19341022,四川省,2800,"in declivo aprico,terroso",,有花有果,https://image.cvh.ac.cn/files/l/PE/00088821.jpg,,,,,,,,,, +柔软龙胆,Gentiana prainii,青藏队补点组,751953,19750910,西藏自治区,3800,灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088827.jpg,,,,,,,,,, +柔软龙胆,Gentiana prainii,藏药队,394,19710706,青海省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/24551.jpg,,,,,,,,,, +黄白龙胆,Gentiana prattii,苏大学,(099)0298,19850806,西藏自治区,4350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399777.jpg,,,,,,,,,, +黄白龙胆,Gentiana prattii,T.T.Yu,9115,19370725,云南省,4100,mt open slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088849.jpg,,,,,,,,,, +黄白龙胆,Gentiana prattii,王晋峰,6772,19740820,四川省,4400,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088846.jpg,,,,,,,,,, +报春花龙胆,Gentiana primuliflora,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1047,20021110,云南省,2570,林(中)下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101608.jpg,,,,,,,,,, +报春花龙胆,Gentiana primuliflora,Dr.Heinr.Frh.v.Handel-Mazzetti,5092,19140913,,2000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088938.jpg,,,,,,,,,, +伸梗龙胆,Gentiana producta,胡文光,13166,19510915,四川省,,on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029564.jpg,,,,,,,,,, +伸梗龙胆,Gentiana producta,何廷农,7523,19900690,青海省,3405,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0213674.jpg,,,,,,,,,, +伸梗龙胆,Gentiana producta,蔡希陶,58202,19340826,云南省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00047908.jpg,,,,,,,,,, +观尝龙胆,Gentiana prolata,"李渤生,倪志诚,程树志",6328,19830809,西藏自治区,4230,高山草甸中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088951.jpg,,,,,,,,,, +,Gentiana prolata,生天,945,19570816,新疆维吾尔自治区,2180,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/829838.jpg,,,,,,,,,, +假鳞叶龙胆,Gentiana pseudosquarrosa,PE西藏考察队,7978,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332453.jpg,,,,,,,,,, +假鳞叶龙胆,Gentiana pseudosquarrosa,D.E.Boufford et al.,30657,20040715,四川省,3600~3850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916605.jpg,,,,,,,,,, +假鳞叶龙胆,Gentiana pseudosquarrosa,T.T.Yu,2865,19340401,重庆市,,mt.slope grassy place,,有花有果,https://image.cvh.ac.cn/files/l/PE/00094232.jpg,,,,,,,,,, +翼萼龙胆,Gentiana pterocalyx,"汤宗孝,柏正强,任文夫",99,19930726,四川省,,沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647621.jpg,,,,,,,,,, +翼萼龙胆,Gentiana pterocalyx,H.T.Tsai,52007,19320913,云南省,,on rock crevice,,有花有果,https://image.cvh.ac.cn/files/l/PE/00094056.jpg,,,,,,,,,, +毛花龙胆,Gentiana pubiflora,T.T.Yu,5089,19370426,云南省,2600,under woods,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00094140.jpg,,,,,,,,,, +毛花龙胆,Gentiana pubiflora,F.Rock,24982 A,19320400,云南省 ,3965,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0490002.jpg,,,,,,,,,, +毛花龙胆,Gentiana pubiflora,张清龙,350157,19610910,四川省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0533353.jpg,,,,,,,,,, +柔毛龙胆,Gentiana pubigera,汤宗孝,1005,19830611,四川省,4210,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647623.jpg,,,,,,,,,, +柔毛龙胆,Gentiana pubigera,俞绍文,65058,19650526,云南省,2750,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00094144.jpg,,,,,,,,,, +偏翅龙胆,Gentiana pudica,Ho Ting-nung et al.,1474,19930819,青海省,4300~4400,Hillside with mostly closed turf,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399788.jpg,,,,,,,,,, +偏翅龙胆,Gentiana pudica,Harry Smith,302,19220811,四川省,4300,in prato alpino aperto,,有花有果,https://image.cvh.ac.cn/files/l/PE/00094162.jpg,,,,,,,,,, +,Gentiana purdomi,,717,19640825,青海省,4300,山地 阴坡 灌丛(杜鹃山柳)下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496037.jpg,,,,,,,,,, +岷县龙胆,Gentiana purdomi,中国西部科学院,5878,19341118,四川省,,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00094358.jpg,,,,,,,,,, +岷县龙胆,Gentiana purdomi,陶德定,11252,19760906,西藏自治区,4500~4800,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00094203.jpg,,,,,,,,,, +红花龙胆,Gentiana rhodantha,青藏队,14971,19831015,云南省,2500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104675.jpg,,,,,,,,,, +红花龙胆,Gentiana rhodantha,云台山采集队,276,20080924,河南省,,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036215.jpg,,,,,,,,,, +红花龙胆,Gentiana rhodantha,"王文广,黄义钧等",2367,20141025,四川省,1400,泥土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918821.jpg,,,,,,,,,, +滇龙胆草,Gentiana rigescens,"H.Li,S.X.Yang,R.Li etc.",629,20020827,云南省,2550,次生灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110681.jpg,,,,,,,,,, +滇龙胆草,Gentiana rigescens,,1574,19421112,贵州省,1340,山顶 强酸性砂质土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01600293.jpg,,,,,,,,,, +河边龙胆,Gentiana riparia,周太炎等,650602,19650529,新疆维吾尔自治区,1200,阴处草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00094572.jpg,,,,,,,,,, +河边龙胆,Gentiana riparia,"邱娟, 冯建菊",LiuJQ0032,20080804,新疆,,水边湿草地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1376615.jpg,,,,,,,,,, +河边龙胆,Gentiana riparia,王宏杰 胡志新,725,1976/5/20,甘肃,1000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0415033.jpg,,,,,,,,,, +粗壮秦艽,Gentiana robusta,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1707,20130821,西藏自治区,,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000816.jpg,,,,,,,,,, +毛蕊龙胆,Gentiana scabrifilamenta,"应俊生,洪德元",651190,19650815,西藏自治区,4150,Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388249.jpg,,,,,,,,,, +锯齿龙胆,Gentiana serra,,s.n.,19940920,云南省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399734.jpg,,,,,,,,,, +锯齿龙胆,Gentiana serra,Rock,10839,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0490313.jpg,,,,,,,,,, +短管龙胆,Gentiana sichitoensis,T.T.Yu,20674,19381013,云南省,3500,Margin of bamboo thickets on open slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388278.jpg,,,,,,,,,, +,Gentiana sichitoensis,"Forrest, George",22794,22-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00001660.jpg,,,,,,,,,, +锡金龙胆,Gentiana sikkimensis,PE西藏队,PE5835,20170903,西藏自治区,3401,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331413.jpg,,,,,,,,,, +锡金龙胆,Gentiana sikkimensis,T.T.Yu,23192,19381001,云南省,3800,Mt.grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388300.jpg,,,,,,,,,, +厚边龙胆,Gentiana simulatrix,生态室高原组,15784,19800924,西藏自治区,3100,高山 栎灌丛间草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01506169.jpg,,,,,,,,,, +厚边龙胆,Gentiana simulatrix,四川省植被调查队,2000,19730708,四川省,3200,河谷灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388304.jpg,,,,,,,,,, +厚边龙胆,Gentiana simulatrix,杨竞生,280,19830825,云南省,3500,草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/552583.jpg,,,,,,,,,, +管花秦艽,Gentiana siphonantha,D.E.boufford B.Bartholomew S.L.Kelley et al,36175,20060809,四川省,4200~4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101998.jpg,,,,,,,,,, +管花秦艽,Gentiana siphonantha,何廷农,1159,19890724,青海省,3300,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591853.jpg,,,,,,,,,, +毛脉龙胆,Gentiana souliei,,3753,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388423.jpg,,,,,,,,,, +毛脉龙胆,Gentiana souliei,T.T.Yu,14536,19371014,四川省,3340,Margin of thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388414.jpg,,,,,,,,,, +匙叶龙胆,Gentiana spathulifolia,李话,305,19930711,甘肃省,2700~3300,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01476610.jpg,,,,,,,,,, +匙叶龙胆,Gentiana spathulifolia,,1485,19610824,四川省,3450,沼地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388442.jpg,,,,,,,,,, +匙叶龙胆,Gentiana spathulifolia,T.P.Wang,W.6031,19360903,青海省,2800,On hight weedy summit,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388432.jpg,,,,,,,,,, +鳞叶龙胆,Gentiana squarrosa,"赵,李,杨,姚",159,19790725,内蒙古自治区,,轻度灌丛化的草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104665.jpg,,,,,,,,,, +鳞叶龙胆,Gentiana squarrosa,"川西队,关克俭,王文采等",关王102,19630715,四川省,2550,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091909.jpg,,,,,,,,,, +鳞叶龙胆,Gentiana squarrosa,,447,19640728,青海省,4150,山麓灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083089.jpg,,,,,,,,,, +珠峰龙胆,Gentiana stellata,PE西藏考察队,7569,20180621,西藏自治区,3796~4100,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332454.jpg,,,,,,,,,, +珠峰龙胆,Gentiana stellata,俞德俊,11817,19380628,云南省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0490351.jpg,,,,,,,,,, +珠峰龙胆,Gentiana stellata,T.T.Yu,11817,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0490353.jpg,,,,,,,,,, +匙萼龙胆,Gentiana stragulata,马成功等,236,19810719,陕西省,3240,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01535485.jpg,,,,,,,,,, +匙萼龙胆,Gentiana stragulata,Joseph F.Rock,23075,19320500,云南省,4333,meadows,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388646.jpg,,,,,,,,,, +匙萼龙胆,Gentiana stragulata,J.Rock,18344,19290900,云南省 ,4460,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0490357.jpg,,,,,,,,,, +麻花艽,Gentiana straminea,PE西藏队,PE5271,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330701.jpg,,,,,,,,,, +麻花艽,Gentiana straminea,姜恕等,824,19590608,四川省,2650,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104670.jpg,,,,,,,,,, +麻花艽,Gentiana straminea,吴玉虎等,6808,19900817,青海省,3440,林缘,山脊或树下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104643.jpg,,,,,,,,,, +条纹龙胆,Gentiana striata,谢松柏,185,19650903,甘肃省,2300~3600,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883467.jpg,,,,,,,,,, +条纹龙胆,Gentiana striata,,s.n.,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388844.jpg,,,,,,,,,, +多花龙胆,Gentiana striolata,四川省植被调查队,3638,19730727,四川省,4600,高山灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388847.jpg,,,,,,,,,, +多花龙胆,Gentiana striolata,D.E.Boufford etc,41999,20090808,云南省,4280~4600,"Shaley slope with wet clay substrate, mostly coming up through and around Rhododendron on Yunnan(S) side of pass",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220152.jpg,,,,,,,,,, +假帚枝龙胆,Gentiana subintricata,R.C.Ching,21277,19390731,云南省,,On open pasture,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388852.jpg,,,,,,,,,, +,Gentiana subintricata,T. T. Yu,12317,1937/7/21,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00113827.jpg,,,,,,,,,, +圆萼龙胆,Gentiana suborbisepala,PE-古蔺考察队,120,20100529,四川省,1081~1772,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01864790.jpg,,,,,,,,,, +圆萼龙胆,Gentiana suborbisepala,,s.n.,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388861.jpg,,,,,,,,,, +圆萼龙胆,Gentiana suborbisepala,Y.Tsiang,9147,19301011,贵州省,,In open hillsides,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388859.jpg,,,,,,,,,, +紫花龙胆,Gentiana syringea,谭仲明,93-78,19930714,四川省,0,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399761.jpg,,,,,,,,,, +紫花龙胆,Gentiana syringea,Ho Ting-nung et al.,127,19930722,青海省,3450,Juniper woodland on rocky areas alpine meadows,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399760.jpg,,,,,,,,,, +大花龙胆,Gentiana szechenyii,,643,19640817,青海省,4300~4400,丘陵阳坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083087.jpg,,,,,,,,,, +大花龙胆,Gentiana szechenyii,张经炜,1388,19730829,西藏自治区,4100,西南坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496080.jpg,,,,,,,,,, +大理龙胆,Gentiana taliensis,Harry Smith,1602,19220409,云南省,2200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388991.jpg,,,,,,,,,, +打箭炉龙胆,Gentiana tatsienensis,青藏队植被组,8461,19760617,西藏自治区,4100,沼泽 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496087.jpg,,,,,,,,,, +打箭炉龙胆,Gentiana tatsienensis,杨永昌,818,19650524,青海省,4200,草滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496086.jpg,,,,,,,,,, +三叶龙胆,Gentiana ternifolia,M.Tabbe Delavay,s.n.,18831105,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389024.jpg,,,,,,,,,, +三叶龙胆,Gentiana ternifolia,Delavay,s.n.,18831105,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0490429.jpg,,,,,,,,,, +四列龙胆,Gentiana tetrasticha,"张永田,郞楷永",2508,19650903,西藏自治区,5300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389029.jpg,,,,,,,,,, +天山秦艽,Gentiana tianschanica,孔宪武,12140,,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389055.jpg,,,,,,,,,, +天山秦艽,Gentiana tianschanica,T.N.Liou,L.5627,19321021,,494,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389046.jpg,,,,,,,,,, +西藏秦艽,Gentiana tibetica,"郎楷永,李良千,费勇",1094,19820811,四川省,2950,北3公里次生灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104687.jpg,,,,,,,,,, +西藏秦艽,Gentiana tibetica,"朱相云,杜玉芬",20110,20000819,西藏自治区,4335,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104669.jpg,,,,,,,,,, +东俄洛龙胆,Gentiana tongolensis,D.E.Boufford B.Bartholomew et al,35732,20060804,四川省,4300~4350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101972.jpg,,,,,,,,,, +东俄洛龙胆,Gentiana tongolensis,陶德定,11256,19760906,西藏自治区,3700~3800,山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496269.jpg,,,,,,,,,, +东俄洛龙胆,Gentiana tongolensis,杨竞生,88-227,19880825,云南省,3850,丫口路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389188.jpg,,,,,,,,,, +,Gentiana trichotoma var. trichotoma,王立松,07-89,20070831,四川省,3970,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220169.jpg,,,,,,,,,, +,Gentiana trichotoma var. trichotoma,D.E.Boufford etc,40541,20090716,西藏自治区,4150,Meadow,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220112.jpg,,,,,,,,,, +三歧龙胆(原变种),Gentiana trichotoma var. trichotoma,谢登峰、蔡竞、秦换换,CJ-010-A-061,20200922,四川,2754.78m,草原,阴生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02060573.jpg,,,,,,,,,, +三色龙胆,Gentiana tricolor,,728,19640825,青海省,4200,阴坡,杜鹃山树灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083090.jpg,,,,,,,,,, +三色龙胆,Gentiana tricolor,吉林师范大学,1152,19630819,吉林省,644,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01569090.jpg,,,,,,,,,, +筒花龙胆,Gentiana tubiflora,青藏队补点队,751531,19750825,西藏自治区,4600~4700,山顶草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389253.jpg,,,,,,,,,, +筒花龙胆,Gentiana tubiflora,,6622,19750817,,4000~4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389254.jpg,,,,,,,,,, +乌奴龙胆,Gentiana urnula,PE西藏考察队,7687,20180622,西藏自治区,5500,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332077.jpg,,,,,,,,,, +蓝玉簪龙胆,Gentiana veitchiorum,PE西藏队,PE6720,20170915,西藏自治区,4200,湖边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333634.jpg,,,,,,,,,, +蓝玉簪龙胆,Gentiana veitchiorum,汤宗孝,837,19820827,四川省,3700,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647636.jpg,,,,,,,,,, +露蕊龙胆,Gentiana vernayi,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1251,20130815,西藏自治区,5000,高寒荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000813.jpg,,,,,,,,,, +长梗秦艽,Gentiana waltonii,罗建等,LuoJian-ML105,20090930,西藏自治区,3090,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916590.jpg,,,,,,,,,, +,Gentiana wardii var. wardii,"Kingdon-Ward, Francis",103,11-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00001712.jpg,,,,,,,,,, +瓦山龙胆,Gentiana wasenensis,,11001,19750816,四川省,2900,山脊向阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389524.jpg,,,,,,,,,, +,Gentiana wasenensis,"Wilson, Ernest Henry",2457,8-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001734.jpg,,,,,,,,,, +川西龙胆,Gentiana wilsonii,武素功,2293,19590718,四川省,3700,山坡阴处Abies,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389594.jpg,,,,,,,,,, +云南龙胆,Gentiana yunnanensis,汤宗孝,1015,19810908,云南省,3750,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647637.jpg,,,,,,,,,, +泽库秦艽,Gentiana zekuensis,T.N.Ho et al.,1960,19960818,青海省,3980,Close grazed alpine meadow on very gentle slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399919.jpg,,,,,,,,,, +泽库秦艽,Gentiana zekuensis,,11097,19750916,四川省,,山坡向阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389752.jpg,,,,,,,,,, +尖叶假龙胆,Gentianella acuta,巴图乌拉,162,20180825,宁夏回族自治区,,河边,坡地等,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293698.jpg,,,,,,,,,, +尖叶假龙胆,Gentianella acuta,刘冰,361,20060902,河北省,2370,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809863.jpg,,,,,,,,,, +尖叶假龙胆,Gentianella acuta,T.Tang,1342,19290814,山西省,2100,Open mt slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389795.jpg,,,,,,,,,, +,Gentianella angustiflora,PE西藏队,PE6791,20170917,西藏自治区,3971,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333660.jpg,,,,,,,,,, +紫红假龙胆,Gentianella arenaria,王金亭,3720,19610804,西藏自治区,4650,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496308.jpg,,,,,,,,,, +紫红假龙胆,Gentianella arenaria,刘尚武,299,19650802,青海省,4200,河滩砾石中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496307.jpg,,,,,,,,,, +黑边假龙胆,Gentianella azurea,D.E.Boufford et al.,36637,20060816,四川省,4475,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916582.jpg,,,,,,,,,, +黑边假龙胆,Gentianella azurea,西藏中草药普查队,1748,19720902,西藏自治区,3800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496306.jpg,,,,,,,,,, +黑边假龙胆,Gentianella azurea,刘尚武,402,19650812,青海省,4000,河岸阶地草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496304.jpg,,,,,,,,,, +密花假龙胆,Gentianella gentianoides,,2079,19941013,云南省,3680,Dry rocky banks,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440016.jpg,,,,,,,,,, +密花假龙胆,Gentianella gentianoides,T.T.Yu,1733,19321017,四川省,2800,Mt.slope grassy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389895.jpg,,,,,,,,,, +密花假龙胆,Gentianella gentianoides,张英伯,704,19401101,云南省 ,3500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0490672.jpg,,,,,,,,,, +普兰假龙胆,Gentianella moorcroftiana,PE西藏队,PE6535,20170912,西藏自治区,3588,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333637.jpg,,,,,,,,,, +普兰假龙胆,Gentianella moorcroftiana,"Stainton,Sykes & Williams",4679,19541003,,4833,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389915.jpg,,,,,,,,,, +矮假龙胆,Gentianella pygmaea,刘尚武,300,19650802,青海省,4200,河滩砾石中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496301.jpg,,,,,,,,,, +矮假龙胆,Gentianella pygmaea,青藏队植被组,12341,19760824,西藏自治区,5100,高山 湿地 残岗 Kobresia草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496300.jpg,,,,,,,,,, +新疆假龙胆,Gentianella turkestanorum,"张新时,郭柯",天山-218,19860801,新疆维吾尔自治区,2990,冰碛坡 T-029,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080876.jpg,,,,,,,,,, +回旋扁蕾,Gentianopsis contorta,D.E.boufford B.Bartholomew S.L.Kelley et al,37051,20060822,四川省,4050~4100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101986.jpg,,,,,,,,,, +回旋扁蕾,Gentianopsis contorta,D.E.Boufford et al.,31250,20040729,西藏自治区,3850,"meadows on gentle to steep slopes,outcropping ledges and rivulets and streamlets in ravines.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01885763.jpg,,,,,,,,,, +大花扁蕾,Gentianopsis grandis,Q.Wang,207,19991000,四川省,2800,山坡草地或林间,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115416.jpg,,,,,,,,,, +大花扁蕾,Gentianopsis grandis,青藏队补点组,750797,19750726,西藏自治区,3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02105862.jpg,,,,,,,,,, +湿生扁蕾(原变种),Gentianopsis paludosa var. paludosa,郭先林、郑宏一,2036825,20200715,四川,4654,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02036825.jpg,,,,,,,,,, +湿生扁蕾(原变种),Gentianopsis paludosa var. paludosa,,10211,19750711,四川省,3380,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00035635.jpg,,,,,,,,,, +地宝兰,Geodorum densiflorum,"Jin Weitao,TongYi and Li Jianhua",13346,20120629,云南省,400~500,tropical seasonal rainforest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02025160.jpg,,,,,,,,,, +地宝兰,Geodorum densiflorum,广西队,531,19550623,广西壮族自治区,160,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997939.jpg,,,,,,,,,, +地宝兰,Geodorum densiflorum,金效华,485,20000911,贵州省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01866734.jpg,,,,,,,,,, +野老鹳草,Geranium carolinianum,李光照,13860,19940408,广西壮族自治区,180,路旁 草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02102757.jpg,,,,,,,,,, +野老鹳草,Geranium carolinianum,Taku Miyazaki,805279,20080523,,280~300,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02038525.jpg,,,,,,,,,, +野老鹳草,Geranium carolinianum,C.M.Wang,W05473,20020416,台湾省,2250,"Roadside of mixed coniferous-broadleaf forest, under forest",,有花无果,https://image.cvh.ac.cn/files/l/PE/01879957.jpg,,,,,,,,,, +丘陵老鹳草,Geranium collinum,"郑度,郭柯",12066,19880630,新疆维吾尔自治区,3500,山地草原化草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099257.jpg,,,,,,,,,, +丘陵老鹳草,Geranium collinum,泛喜马拉雅植物志巴基斯坦采集队,FPH-0513,20120622,,2543,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004863.jpg,,,,,,,,,, +粗根老鹳草,Geranium dahuricum,李才贵,147,19840630,山西省,1990,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081087.jpg,,,,,,,,,, +粗根老鹳草,Geranium dahuricum,赤峰采集队,2-009,20080723,内蒙古自治区,1248,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02012303.jpg,,,,,,,,,, +粗根老鹳草,Geranium dahuricum,孙学刚等,20010518,20010821,甘肃省,2500,沟谷草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01808740.jpg,,,,,,,,,, +五叶老鹳草,Geranium delavayi,,54939,19570823,云南省,,山坡草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102743.jpg,,,,,,,,,, +五叶老鹳草,Geranium delavayi,孙航等,15020,20100527,四川省,1042,山坡上,河边山坡疏林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02005299.jpg,,,,,,,,,, +长根老鹳草,Geranium donianum,PE西藏考察队,7373,20180616,西藏自治区,3934,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332538.jpg,,,,,,,,,, +圆柱根老鹳草,Geranium farreri,"傅德志,陈淑荣,邵毅贞等",1709,20140425,四川省,1120~1200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02021010.jpg,,,,,,,,,, +圆柱根老鹳草,Geranium farreri,陶德定,11034,19760821,西藏自治区,,高山 石砾 阳坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538600.jpg,,,,,,,,,, +圆柱根老鹳草,Geranium farreri,俞德浚,9607,19370812,云南省,3900,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0131881.jpg,,,,,,,,,, +,Geranium franchetii var. franchetii,王乾,M-51,20180627,四川,2582,,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273513.jpg,,,,,,,,,, +刚毛紫地榆,Geranium hispidissimum,,23772,19290825,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00158589.jpg,,,,,,,,,, +刚毛紫地榆,Geranium hispidissimum,西师生物系,12472,19760718,四川省,2300,林缘边上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00148183.jpg,,,,,,,,,, +,Geranium lambertii,"张挺, 刘成, 亚吉东",18CS17714,20180916,西藏,3829,路边山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487425.jpg,,,,,,,,,, +宝兴老鹳草,Geranium moupinense,PE西藏队,PE6252,20170910,西藏自治区,2488~3062,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330408.jpg,,,,,,,,,, +宝兴老鹳草,Geranium moupinense,T.H.Tu,4262,19220624,四川省,2240,草坪,,有花无果,https://image.cvh.ac.cn/files/l/PE/00148381.jpg,,,,,,,,,, +萝卜根老鹳草,Geranium napuligerum,PE西藏队,PE5524,20170831,西藏自治区,4460,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330415.jpg,,,,,,,,,, +萝卜根老鹳草,Geranium napuligerum,青藏队,2283,19810709,云南省,3700,冷杉林迹地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01133325.jpg,,,,,,,,,, +萝卜根老鹳草,Geranium napuligerum,W.P.Fang,4349,19280825,四川省,,On grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00148389.jpg,,,,,,,,,, +尼泊尔老鹳草,Geranium nepalense,PE西藏队,PE6050,20170906,西藏自治区,2935,山谷林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330418.jpg,,,,,,,,,, +尼泊尔老鹳草,Geranium nepalense,"H.Li,S.X.Yang,R.Li etc.",1004,20021108,云南省,2520,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115230.jpg,,,,,,,,,, +尼泊尔老鹳草,Geranium nepalense,河南林业厅,729,19560908,河南省,,河边水旁峪阴处灌木丛中下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102781.jpg,,,,,,,,,, +二色老鹳草,Geranium ocellatum,C.W.Wang,84595,19391023,云南省,1200,in woods ravine,,无花有果,https://image.cvh.ac.cn/files/l/PE/00149037.jpg,,,,,,,,,, +二色老鹳草,Geranium ocellatum,黔南队,299,19590406,贵州省,800,山坡?田中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00149034.jpg,,,,,,,,,, +毛蕊老鹳草,Geranium platyanthum,陈全胜,CF06-4066,20180627,内蒙古自治区,1668,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246995.jpg,,,,,,,,,, +毛蕊老鹳草,Geranium platyanthum,段长虹,Dch0358,20140715,山西省,2088,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035274.jpg,,,,,,,,,, +,Geranium pogonanthum,"王忠涛,曲上,徐连升",140078,20140610,河北省,1807,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031788.jpg,,,,,,,,,, +,Geranium pogonanthum,C.W.Wang,67815,19350900,云南省,2800,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00149102.jpg,,,,,,,,,, +,Geranium pogonanthum,D.C.Lee,2863,19400716,四川省,3035,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00148068.jpg,,,,,,,,,, +多花老鹳草,Geranium polyanthes,"倪志诚,次多.次旦,廖世荣",1911,19810901,西藏自治区,3400,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598573.jpg,,,,,,,,,, +多花老鹳草,Geranium polyanthes,K.M.Feng,6221,19400801,云南省,3600~4000,草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00149110.jpg,,,,,,,,,, +多花老鹳草,Geranium polyanthes,George Forrest,25537,19240000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00149139.jpg,,,,,,,,,, +草地老鹳草,Geranium pratense,陈全胜,CF13-4250,20180704,内蒙古自治区,1603,山地林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247023.jpg,,,,,,,,,, +草地老鹳草,Geranium pratense,青藏科考队,12868,19760818,西藏自治区,3800,云杉林缘柳树底丝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02105999.jpg,,,,,,,,,, +甘青老鹳草,Geranium pylzowianum,秦岭队,10229,19580627,陕西省,2200,半阳处,灌木下,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02106000.jpg,,,,,,,,,, +甘青老鹳草,Geranium pylzowianum,青藏科考队,12437,19760722,西藏自治区,3600,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02105997.jpg,,,,,,,,,, +甘青老鹳草,Geranium pylzowianum,"张秀实,任有铣",5771,19580706,四川省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102737.jpg,,,,,,,,,, +,Geranium refractum,D.E.Boufford et al.,41134,20090725,西藏自治区,4540~4650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01923650.jpg,,,,,,,,,, +,Geranium refractum,D.E.Boufford et al.,38602,20070729,四川省,4230~4350,Alpine measows and scree slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879481.jpg,,,,,,,,,, +纤细老鹳草,Geranium robertianum,C.M.Wang et al.,W05156,20010807,台湾省,2230,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01925217.jpg,,,,,,,,,, +纤细老鹳草,Geranium robertianum,G.Fayvush et al.,08-0912,20080625,,1260~1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924466.jpg,,,,,,,,,, +纤细老鹳草,Geranium robertianum,孙航等,3085,20100930,云南省,2148,"Shrub on the slope near the road,slope",,有花有果,https://image.cvh.ac.cn/files/l/PE/01922698.jpg,,,,,,,,,, +中华老鹳草,Geranium sinense,蓝顺彬,114,19840814,云南省,3000,向阳山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598594.jpg,,,,,,,,,, +中华老鹳草,Geranium sinense,横断山队植被组,4722,19830731,四川省,3450,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555308.jpg,,,,,,,,,, +中华老鹳草,Geranium sinense,M.Iabbe Delavay,6681,18950900,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01348478.jpg,,,,,,,,,, +紫地榆,Geranium strictipes,"D.E.Boufford,L.Y.Chen,X.H.Li etc.",42801,20100810,四川省,3190~3250,mixed thickets area heavily grazed by goats and cattle and heavily cut by humans,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044977.jpg,,,,,,,,,, +紫地榆,Geranium strictipes,滇西北队,10573,19600728,云南省,2750,山坡松栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00158614.jpg,,,,,,,,,, +伞花老鹳草,Geranium umbelliforme,秦仁昌,23481,19290801,云南省,,草坝,,有花无果,https://image.cvh.ac.cn/files/l/PE/00158652.jpg,,,,,,,,,, +伞花老鹳草,Geranium umbelliforme,C.W.Wang,65221,19350800,四川省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00158646.jpg,,,,,,,,,, +宽托叶老鹳草,Geranium wallichianum,PE西藏考察队,7915,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331657.jpg,,,,,,,,,, +宽托叶老鹳草,Geranium wallichianum,张无休等,266,19840725,河北省,1940,山顶草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01539926.jpg,,,,,,,,,, +云南老鹳草,Geranium yunnanense,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B",107,20020812,云南省,2400,次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100875.jpg,,,,,,,,,, +云南老鹳草,Geranium yunnanense,青藏队,12727,19830808,四川省,3700,山坡 冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01133398.jpg,,,,,,,,,, +弯苞大丁草,Gerbera curvisquama,杨光辉,57598,19580401,四川省,1080,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00282910.jpg,,,,,,,,,, +箭叶大丁草,Gerbera maxima,陈又生等,355,20111111,西藏自治区,2718,向阳草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909649.jpg,,,,,,,,,, +箭叶大丁草,Gerbera maxima,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003090,20171204,,2446,Rock of roadside,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1451820.jpg,,,,,,,,,, +白背大丁草,Gerbera nivea,康藏植物考察队,10-2674,20100823,云南省,3400,山谷岩壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917556.jpg,,,,,,,,,, +白背大丁草,Gerbera nivea,陈又生等,406,20111111,西藏自治区,4165,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909650.jpg,,,,,,,,,, +毛大丁草,Gerbera piloselloides,张彩飞,1896,20090302,云南省,1900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247645.jpg,,,,,,,,,, +毛大丁草,Gerbera piloselloides,广西队,315,19550609,广西壮族自治区,500,山地,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997481.jpg,,,,,,,,,, +路边青,Geum aleppicum,PE西藏队,PE6608,20170914,西藏自治区,3934,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330125.jpg,,,,,,,,,, +路边青,Geum aleppicum,,69112-021,19690819,新疆维吾尔自治区,1420,溪边潮湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244905.jpg,,,,,,,,,, +路边青,Geum aleppicum,"洪德元,潘开玉,徐超,刘彬彬",3264,20170831,四川省,3254,Roadsides,,无花有果,https://image.cvh.ac.cn/files/l/PE/02108800.jpg,,,,,,,,,, +,Geum elatum var. humile,青藏队补点队,751514,19750825,西藏自治区,4500,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01438759.jpg,,,,,,,,,, +,Geum elatum var. humile,"张经炜,孙世洲",56,19720812,青海省,3750,祁连山南侧前山 海塔尔沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01438757.jpg,,,,,,,,,, +,Geum elatum var. leiocarpum,"张永田,郞楷永",2465,19650902,西藏自治区,5400,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01439151.jpg,,,,,,,,,, +,Geum macrosepalum,"罗建, 汪书丽",LiuJQ-11XZ-242,20110922,西藏,,温带高山灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1312446.jpg,,,,,,,,,, +大萼路边青,Geum macrosepalum,吴征缢、陈书坤、杜庆、庐树林,75-934,19750718,西藏自治区,4100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/54487.jpg,,,,,,,,,, +,Girardinia diversifolia subsp. triloba,"税玉民,陈文红,盛家舒",31164,20021011,云南省,,石灰岩山长绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01846353.jpg,,,,,,,,,, +,Girardinia diversifolia subsp. triloba,安顺队,1573,19590924,贵州省,1300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01846352.jpg,,,,,,,,,, +,Girardinia diversifolia subsp. triloba,华南分队,2495,19891013,广西壮族自治区,1200,山地山谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/01314876.jpg,,,,,,,,,, +海乳草,Glaux maritima,PE西藏考察队,7552,20180620,西藏自治区,4158,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332770.jpg,,,,,,,,,, +海乳草,Glaux maritima,内蒙队,288,19630712,内蒙古自治区,,冲积平原 微低平地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094444.jpg,,,,,,,,,, +海乳草,Glaux maritima,黄河队,6885,19560522,陕西省,,沟底路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091469.jpg,,,,,,,,,, +宝兴 寄生,Gleadovia mupinense,"谢丹,张博",LX0423005,20160423,湖南省,622,竹林灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02079444.jpg,,,,,,,,,, +宝兴 寄生,Gleadovia mupinense,白水江考察队,1181,20060705,甘肃省,1000,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855473.jpg,,,,,,,,,, +宝兴 寄生,Gleadovia mupinense,杜大华,151,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463628.jpg,,,,,,,,,, +藨寄生,Gleadovia ruborum,泸溪林业局,LX0423002,20160423,湖南省,622,竹林灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02079443.jpg,,,,,,,,,, +藨寄生,Gleadovia ruborum,"张秀实,任有铣",5372,19560613,四川省,2750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463634.jpg,,,,,,,,,, +藨寄生,Gleadovia ruborum,王启无,63989,19350600,云南省,3500,Under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463635.jpg,,,,,,,,,, +活血丹,Glechoma longituba,"朱大海,王永,王斌等",83,20020410,四川省,95,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115824.jpg,,,,,,,,,, +活血丹,Glechoma longituba,孔冬梅,k0071,20140414,山西省,897,小溪中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035719.jpg,,,,,,,,,, +活血丹,Glechoma longituba,段林东,2137,20040403,湖南省,500,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01894993.jpg,,,,,,,,,, +大花活血丹,Glechoma sinograndis,冯国楣,3719,19400508,云南省,2000,沟边杂林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/215927.jpg,,,,,,,,,, +大花活血丹,Glechoma sinograndis,翟忠,124099,,江苏省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00059355.jpg,,,,,,,,,, +皂荚,Gleditsia sinensis,川黔队,179,19560423,重庆市,730,山地 山坡 阳处 疏密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083740.jpg,,,,,,,,,, +皂荚,Gleditsia sinensis,广西队,4173,19530000,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01965883.jpg,,,,,,,,,, +皂荚,Gleditsia sinensis,,519,19560426,北京市,100,草地 阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827088.jpg,,,,,,,,,, +舞花姜,Globba racemosa,"H.Li,S.X.Yang,R.Li etc.",516,20020825,云南省,2500,山地次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109969.jpg,,,,,,,,,, +舞花姜,Globba racemosa,北京队,896218,19890906,广西壮族自治区,1100,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018405.jpg,,,,,,,,,, +,Glochidion daltonii,谭仕兴,231,20050220,贵州省,950,山坡林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01680871.jpg,,,,,,,,,, +,Glochidion daltonii,华南分队,2544,19891018,广西壮族自治区,300,山地 山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01315524.jpg,,,,,,,,,, +,Glochidion daltonii,刘慎谔,17851,19401223,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00960975.jpg,,,,,,,,,, +厚叶算盘子,Glochidion hirsutum,"张寿洲,李良千等",3593,20050719,广东省,100~50,海边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01808053.jpg,,,,,,,,,, +厚叶算盘子,Glochidion hirsutum,张红,861,20050609,广西壮族自治区,750,灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01680873.jpg,,,,,,,,,, +厚叶算盘子,Glochidion hirsutum,236-6队,4634,19830320,云南省,600,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01680232.jpg,,,,,,,,,, +墨脱算盘子,Glochidion medogense,"李渤生,程树志",4101,19830415,西藏自治区,1800,常绿阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078271.jpg,,,,,,,,,, +,Glochidion nubigenum,"李渤生,程树志",4533,19830307,西藏自治区,1000,半常绿雨林缘时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495071.jpg,,,,,,,,,, +,Glochidion thomsonii,陈伟烈,10820,19800630,西藏自治区,1200,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495073.jpg,,,,,,,,,, +,Glyceria maxima,张会金等,55(2005-3065),20050823,新疆维吾尔自治区,1340,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01951415.jpg,,,,,,,,,, +,Glyceria maxima,A.Nobis,s.n.,20070619,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01852300.jpg,,,,,,,,,, +,Glyceria maxima,黄河队,949,19540830,陕西省,1130,草本路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01567612.jpg,,,,,,,,,, +,Glyceria tonglensis,"Liu Yanchun,Peng Hua",217,20080516,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089375.jpg,,,,,,,,,, +,Glyceria tonglensis,O.polunin,161,19490801,,3833,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01674099.jpg,,,,,,,,,, +,Glyceria tonglensis,生态室高原组,10384,19800625,西藏自治区,3600,林间湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01447532.jpg,,,,,,,,,, +,Glycosmis xizangensis,"李渤生,程树志",4638,19830423,西藏自治区,650,常阔林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01821456.jpg,,,,,,,,,, +,Glycosmis xizangensis,"李渤生,程树志",4638,19830423,西藏,650,常阔林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01821449.jpg,,,,,,,,,, +甘草,Glycyrrhiza uralensis,陈全胜,CF-0006-154,20170824,内蒙古自治区,1881,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246883.jpg,,,,,,,,,, +甘草,Glycyrrhiza uralensis,,9740,19570622,新疆维吾尔自治区,1650,绿洲中的村庄旁边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100804.jpg,,,,,,,,,, +甘草,Glycyrrhiza uralensis,夏振岱,9008,19900615,甘肃省,,林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069092.jpg,,,,,,,,,, +云南甘草,Glycyrrhiza yunnanensis,任再金,3757,19930522,四川省,2300,路边丛生,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069093.jpg,,,,,,,,,, +云南甘草,Glycyrrhiza yunnanensis,康藏植物考察队,10-2798,20100825,云南省,2561,云南松林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02068983.jpg,,,,,,,,,, +云南石梓,Gmelina arborea,冯国楣,4721,19540929,云南省,600,草地干燥,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244408.jpg,,,,,,,,,, +云南石梓,Gmelina arborea,S.Y.Hu & Yung,460,20020427,香港,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01476922.jpg,,,,,,,,,, +小叶石梓,Gmelina delavayana,"攀枝花苏铁考察队(杨永,莫旭,余志祥等)",249,20100711,四川省,1793,灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244386.jpg,,,,,,,,,, +小叶石梓,Gmelina delavayana,G.Forrest,11662,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01476931.jpg,,,,,,,,,, +小叶石梓,Gmelina delavayana,,3712,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01276089.jpg,,,,,,,,,, +鼠麴草,Gnaphalium affine,PE西藏考察队,7809,20180625,西藏自治区,2627,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333965.jpg,,,,,,,,,, +鼠麴草,Gnaphalium affine,"Q.Wang,K.Yao",9034,19990600,四川省,2300,山坡林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115540.jpg,,,,,,,,,, +鼠麴草,Gnaphalium affine,林秦文,2013-034,20130527,云南省,1600~1750,沟谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110654.jpg,,,,,,,,,, +金头鼠麴草,Gnaphalium chrysocephalum,杨国平,275,20030918,云南省,2490,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01774441.jpg,,,,,,,,,, +金头鼠麴草,Gnaphalium chrysocephalum,赵志龙,87-1014,19870618,四川省,700,河漫滩草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01717135.jpg,,,,,,,,,, +拉萨鼠麴草,Gnaphalium flavescens,钟补求,5592,19521110,西藏自治区,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00554919.jpg,,,,,,,,,, +拉萨鼠麴草,Gnaphalium flavescens,俞德浚,13226,19370906,云南省,3300,mt.slope open place,,有花无果,https://image.cvh.ac.cn/files/l/KUN/496714.jpg,,,,,,,,,, +拉萨鼠曲草,Gnaphalium flavescens,蒋兴麐,37043,19531005,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00024883.jpg,,,,,,,,,, +秋鼠麴草,Gnaphalium hypoleucum,李光照,13857,19940408,广西壮族自治区,185,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240204.jpg,,,,,,,,,, +秋鼠麴草,Gnaphalium hypoleucum,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1078,20021110,云南省,2570,草下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111310.jpg,,,,,,,,,, +秋鼠麴草,Gnaphalium hypoleucum,236任务组,13,19720726,四川省,1100,山坡路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02085748.jpg,,,,,,,,,, +矮鼠麴草,Gnaphalium stewartii,秦仁昌,1917,19560817,新疆维吾尔自治区,2500,生高山较干旱草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00555211.jpg,,,,,,,,,, +矮鼠曲草,Gnaphalium stewartii,秦仁昌,1917,19560817,新疆维吾尔自治区 ,0~2500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0594345.jpg,,,,,,,,,, +矮鼠麴草,Gnaphalium stewartii,杨竞生,90474,19900830,西藏自治区,5400,山顶,,有花无果,https://image.cvh.ac.cn/files/l/KUN/498316.jpg,,,,,,,,,, +垂子买麻藤,Gnetum pendulum,"李渤生,程树志",2955,19830312,西藏自治区,1500,常绿阔叶林下极常见藤本,,无花无果,https://image.cvh.ac.cn/files/l/PE/02073112.jpg,,,,,,,,,, +垂子买麻藤,Gnetum pendulum,李植芝,368a,19630423,云南省,785,龙山林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00057559.jpg,,,,,,,,,, +四棱荠,Goldbachia laevigata,何叶祺,3164,19590623,甘肃省,1450,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01998122.jpg,,,,,,,,,, +四棱荠,Goldbachia laevigata,,567,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01054800.jpg,,,,,,,,,, +四棱荠,Goldbachia laevigata,,10301,19590521,新疆维吾尔自治区,530,大凹地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01054799.jpg,,,,,,,,,, +硬毛锥花,Gomphostemma stellatohirsutum,中苏队,3923,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0587836.jpg,,,,,,,,,, +硬毛锥花,Gomphostemma stellatohirsutum,Li-Jianwu,3535,20130717,云南省,1200,riverside of the valley,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252177.jpg,,,,,,,,,, +硬毛锥花,Gomphostemma stellatohirsutum,蔡杰,张挺,13CS7246,20131019,云南,640,路边杂木林林缘,灌木,,https://image.cvh.ac.cn/files/l/KUN/1388207.jpg,,,,,,,,,, +纤冠藤,Gongronema napalense,陶国达等,17264,19770812,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/098313.jpg,,,,,,,,,, +纤冠藤,Gongronema napalense,李延辉,599609,19590000,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/035391.jpg,,,,,,,,,, +纤冠藤,Gongronema napalense,罗城县普查队,451225130729005LY,20130729,广西,283,灌丛,林下,石灰土,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0114717.jpg,,,,,,,,,, +,Gonocarpus micranthus,"蔡杰,苏勇,杨东",14CS9268,20140625,云南省,1927,路边林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1372678.jpg,,,,,,,,,, +,Gonocarpus micranthus,"郭永杰, 李涟漪, 方云花, 张凤琼",18CS16996,20180608,浙江,43,山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486900.jpg,,,,,,,,,, +小二仙草,Gonocarpus micranthus,环江县普查队,451226130606015LY,20130606,广西壮族自治区,956,阔叶林,林下,黄棕壤,少见,野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00360167.jpg,,,,,,,,,, +糯米团,Gonostegia hirta,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET 0818,20080630,云南省,1500,"roadside,second",,有花无果,https://image.cvh.ac.cn/files/l/PE/02108193.jpg,,,,,,,,,, +糯米团,Gonostegia hirta,"关克俭,王文采",2422,19630820,四川省,750,山坡林边草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078809.jpg,,,,,,,,,, +糯米团,Gonostegia hirta,巴山采集队,3380,20100727,陕西省,602,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066124.jpg,,,,,,,,,, +大花斑叶兰,Goodyera biflora,Jin Xiaohua,10040,20090730,台湾省,2100,in mixed forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033258.jpg,,,,,,,,,, +大花斑叶兰,Goodyera biflora,藏东南考察队,SET-ET 776,20090825,西藏自治区,1874,under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01867327.jpg,,,,,,,,,, +大花斑叶兰,Goodyera biflora,Jin Xiaohua,9775,20090514,贵州省,750,in evergreen fors,,无花无果,https://image.cvh.ac.cn/files/l/PE/01867326.jpg,,,,,,,,,, +波密斑叶兰,Goodyera bomiensis,藏东南考察队,SET-ET 774,20090825,西藏自治区,1874,under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01867328.jpg,,,,,,,,,, +波密斑叶兰,Goodyera bomiensis,神农架队,s.n.,19700709,湖北省,1750,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849754.jpg,,,,,,,,,, +多叶斑叶兰,Goodyera foliosa,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T253,20160917,西藏自治区,1594,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233106.jpg,,,,,,,,,, +多叶斑叶兰,Goodyera foliosa,北京队,897315,19890920,广西壮族自治区,800,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997851.jpg,,,,,,,,,, +脊唇斑叶兰,Goodyera fusca,PE西藏考察队,8006,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331722.jpg,,,,,,,,,, +脊唇斑叶兰,Goodyera fusca,滇西北金沙江队,63-6103,19630725,云南省,3780,石灰岩隙,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0022228.jpg,,,,,,,,,, +光萼斑叶兰,Goodyera henryi,Chien-I Huang & 胡嘉颖 刘建华,2913,20061024,台湾省,1400,broadleaf forest on soil slope semishaded,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033563.jpg,,,,,,,,,, +光萼斑叶兰,Goodyera henryi,,333,19620918,广西壮族自治区,1360,落叶常绿混交林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997938.jpg,,,,,,,,,, +光萼斑叶兰,Goodyera henryi,藏东南考察队,SET-ET 504,20090820,西藏自治区,2408,epiphytic on trunk,,无花无果,https://image.cvh.ac.cn/files/l/PE/01867343.jpg,,,,,,,,,, +高斑叶兰,Goodyera procera,中苏队,7616,19570408,云南省,1100,斜坡阴处沟底密林潮湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230245.jpg,,,,,,,,,, +高斑叶兰,Goodyera procera,Ching-I Peng,6662,19840508,台湾省,100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033560.jpg,,,,,,,,,, +高斑叶兰,Goodyera procera,L.Averyanov et al.,5959,20000503,,500~550,primary broad-leaved mountain evergreen forest on granite along river slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033378.jpg,,,,,,,,,, +小斑叶兰,Goodyera repens,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T336,20160919,西藏自治区,2453,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233046.jpg,,,,,,,,,, +小斑叶兰,Goodyera repens,谭策铭,951443,19951008,江西省,800,路边松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230304.jpg,,,,,,,,,, +小斑叶兰,Goodyera repens,"张新时,郭柯",天山-398,19860804,新疆维吾尔自治区,2360,Picea schrewkiana 疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081317.jpg,,,,,,,,,, +滇藏斑叶兰,Goodyera robusta,金效华,9221,20070904,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825226.jpg,,,,,,,,,, +滇藏斑叶兰,Goodyera robusta,金效华,548,20000929,贵州省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820798.jpg,,,,,,,,,, +斑叶兰,Goodyera schlechtendaliana,赵鑫磊,,20110804,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230232.jpg,,,,,,,,,, +斑叶兰,Goodyera schlechtendaliana,"逯永满,张志强",2009154,20090922,云南省,2070,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230220.jpg,,,,,,,,,, +绒叶斑叶兰,Goodyera velutina,华南生物多样性调查队 金效华,5007,20030921,海南省,1002~1500,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032979.jpg,,,,,,,,,, +绒叶斑叶兰,Goodyera velutina,白水江采集队,SET-ET 1200,20090904,甘肃省,1946,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01867376.jpg,,,,,,,,,, +绒叶斑叶兰,Goodyera velutina,"邢公侠,郎楷永",748,19630824,四川省,1850,山坡阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849800.jpg,,,,,,,,,, +卧龙斑叶兰,Goodyera wolongensis,郎楷永 李良千 费勇,1220,19820819,四川省,2700,冷杉林下 苔藓,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01147011.jpg,,,,,,,,,, +卧龙斑叶兰,Goodyera wolongensis,张挺,亚吉东,20CS20048,20201015,四川,2816,云杉铁杉林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505391.jpg,,,,,,,,,, +扁担杆,Grewia biloba var. biloba,凌云普查队,4.51E+14,20120816,广西壮族自治区,1192,阔叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI063193.jpg,,,,,,,,,, +扁担杆,Grewia biloba var. biloba,资源县普查队,450329150617064LY,20150617,广西,380,阔叶林,林缘,黄棕壤,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0172173.jpg,,,,,,,,,, +短柄扁担杆,Grewia brachypoda,攀枝花苏铁考察队(杨永等),84,20100711,四川省,1613,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02227094.jpg,,,,,,,,,, +短柄扁担杆,Grewia brachypoda,中国科学植物研究所昆明工作站,1973,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01348065.jpg,,,,,,,,,, +甘肃米口袋,Gueldenstaedtia gansuensis,崔友文,10174,19530610,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00398736.jpg,,,,,,,,,, +甘肃米口袋,Gueldenstaedtia gansuensis,W.Y.Hsia,5227,19390620,甘肃省,1500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00398735.jpg,,,,,,,,,, +,Gueldenstaedtia verna,石雷 林秦文,2011014,20110415,北京市,120,山坡路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112315.jpg,,,,,,,,,, +,Gueldenstaedtia verna,石硕,SZ3465,20140512,河北省,1249,田边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063914.jpg,,,,,,,,,, +,Gueldenstaedtia verna,"刘冰,刘夙",648,20070519,内蒙古自治区,1381,沙化典型草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01952433.jpg,,,,,,,,,, +,Gueldenstaedtia yadongensis,李渤生等,13463,19900904,西藏自治区,3600~3800,高山灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01805010.jpg,,,,,,,,,, +,Gueldenstaedtia yadongensis,扎西次仁,ZhongY403,20080905,西藏,2970,山坡草地,山坡砂砾地或山坡灌丛或林间草地,乔木,,https://image.cvh.ac.cn/files/l/KUN/1322742.jpg,,,,,,,,,, +滇菟丝子,Gueldenstaedtia yunnanensis,杨竟生,83-277,19830825,云南省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0200889.jpg,,,,,,,,,, +云南高山豆,Gueldenstaedtia yunnanensis,川经凉,1646,19590806,四川省,2600,山坡阳处,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0624020.jpg,,,,,,,,,, +云南高山豆,Gueldenstaedtia yunnanensis,George Forest,14278,19170700,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0627874.jpg,,,,,,,,,, +角距手参,Gymnadenia bicornis,藏东南考察队,STE-ET1358,20090908,西藏自治区,2664,along the forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01866840.jpg,,,,,,,,,, +角距手参,Gymnadenia bicornis,白水江考察队,338,20060627,甘肃省,3148,林缘或林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01359426.jpg,,,,,,,,,, +手参,Gymnadenia conopsea,Jin Weitao,13566,20121012,广西壮族自治区,1130~1200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233135.jpg,,,,,,,,,, +手参,Gymnadenia conopsea,"向巧萍,曲上等",GPS243-23,20140708,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230203.jpg,,,,,,,,,, +手参,Gymnadenia conopsea,Albin Petterson,6,19300627,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109635.jpg,,,,,,,,,, +短距手参,Gymnadenia crassinervis,"Jin Xiaohua,Jin Weitao",14483,20140806,四川省,3002,alpine meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233110.jpg,,,,,,,,,, +短距手参,Gymnadenia crassinervis,藏东南考察队,SET-ET 1024,20090829,西藏自治区,3996,alpine meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/01866849.jpg,,,,,,,,,, +西南手参,Gymnadenia orchidis,"张永田,郎楷永",1229,19650802,西藏自治区,3100,疏林下灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230239.jpg,,,,,,,,,, +西南手参,Gymnadenia orchidis,徐洪贵,1705,19950623,四川省,2900,荒坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033604.jpg,,,,,,,,,, +裸果木,Gymnocarpos przewalskii,"李世英,王庆瑞,黄大乐",166,19550727,新疆维吾尔自治区,2220,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01552174.jpg,,,,,,,,,, +,Gymnosporia berberoides,"Qiangbang Gong,Yongzeng Zhang,Wenguang Sun,Xing Ji",KC-0228,20140901,云南省,300~2400,River valleys riversides,,,https://image.cvh.ac.cn/files/l/KUN/1274645.jpg,,,,,,,,,, +,Gymnosporia berberoides,"张挺, 郭永杰, 吴之坤, 姜虹, 李贵能",16CS12583,20160813,四川,1933,灌丛中,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1455825.jpg,,,,,,,,,, +,Gymnosporia berberoides,S. T??n,378,1917/5/15,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00049918.jpg,,,,,,,,,, +马蛋果,Gynocardia odorata,"李渤生,程树志",5014,19830610,西藏自治区,900,半常绿雨林下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077522.jpg,,,,,,,,,, +马蛋果,Gynocardia odorata,毛品一,3570,19540325,云南省,1000,山谷潮湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/01280261.jpg,,,,,,,,,, +聚果绞股蓝,Gynostemma aggregatum,冯国楣,3100,19391026,云南省,2300,爬树上,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0550397.jpg,,,,,,,,,, +,Gynostemma aggregatum,K. M. Feng,3100,1939/10/26,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00106779.jpg,,,,,,,,,, +聚果绞股蓝,Gynostemma aggregatum,Feng (冯国楣),3100,19391026,云南,2300,爬树上,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0550398.jpg,,,,,,,,,, +长梗绞股蓝,Gynostemma longipes,"H.Li,S.X.Yang,R.Li etc.",230,20020814,云南省,2600,常绿阔叶林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112628.jpg,,,,,,,,,, +长梗绞股蓝,Gynostemma longipes,代天伦,104106,19580816,重庆市,1600,生于灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02010540.jpg,,,,,,,,,, +长梗绞股蓝,Gynostemma longipes,Chin Sung Chang Heung Soo-Lee Jeong Ill Jeon et al,SI0273,20040712,四川省,1863,Road side longchi park,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670562.jpg,,,,,,,,,, +绞股蓝,Gynostemma pentaphyllum,薛祥骥,s.n.,19910827,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235434.jpg,,,,,,,,,, +绞股蓝,Gynostemma pentaphyllum,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T293,20160918,西藏自治区,891,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233439.jpg,,,,,,,,,, +绞股蓝,Gynostemma pentaphyllum,"朱大海,王永,尚涛",1859,20030925,四川省,1100,山坡中部林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115854.jpg,,,,,,,,,, +木耳菜,Gynura cusimbua,覃海宁等,2500,19981108,广西壮族自治区,1100,山地,山坡,石灰岩石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997266.jpg,,,,,,,,,, +木耳菜,Gynura cusimbua,FLPH Tibet Expedition,12-1928,,西藏自治区,2000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967354.jpg,,,,,,,,,, +木耳菜,Gynura cusimbua,D.E.Boufford et al.,33010,20050716,四川省,2250~2300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01913082.jpg,,,,,,,,,, +菊三七,Gynura japonica,FLPH Sichuan Expedition,151571,20150829,四川省,2150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084278.jpg,,,,,,,,,, +菊三七,Gynura japonica,林秦文,2013-215,20130601,云南省,1750~2300,峡谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045823.jpg,,,,,,,,,, +菊三七,Gynura japonica,北京队,890250,19890425,广西壮族自治区,,山沟林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997263.jpg,,,,,,,,,, +膜苞石头花,Gypsophila cephalotes,"清水建美,近田文弘等",291,19910728,新疆维吾尔自治区,2300~2600,云杉林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467546.jpg,,,,,,,,,, +膜苞石头花,Gypsophila cephalotes,周太炎,650872,1965-06-,新疆省,1500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0148541.jpg,,,,,,,,,, +卷耳状石头花,Gypsophila cerastioides,PE西藏考察队,7124,20180610,西藏自治区,4281,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333223.jpg,,,,,,,,,, +卷耳状石头花,Gypsophila cerastioides,T.Hoshino etc.,9539083,19950722,,2700~3450,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1224817.jpg,,,,,,,,,, +卷耳状石头花,Gypsophila cerastioides,王启无,65536,19350800,云南省 ,3400,Mountain slope,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0512530.jpg,,,,,,,,,, +紫萼石头花,Gypsophila patrinii,"清水建美,近田文弘等",129,19910723,新疆维吾尔自治区,2100,山坡 垭口草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467547.jpg,,,,,,,,,, +紫萼石头花,Gypsophila patrinii,黄河调查队,6527,19560531,陕西省,,山脚,,有花无果,https://image.cvh.ac.cn/files/l/PE/00583860.jpg,,,,,,,,,, +紫萼石头花,Gypsophila patrinii,何叶祺,7620,19590824,内蒙古自治区,2200,滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00583858.jpg,,,,,,,,,, +小花玉凤花,Habenaria acianthoides,F.T.Wang,21679,19300000,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00340640.jpg,,,,,,,,,, +小花玉凤花,Habenaria acianthoides,张志英,9057,19590715,甘肃省,1050,山坡路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/00340542.jpg,,,,,,,,,, +小花玉凤花,Habenaria acianthoides,循化积石峡考察队,232,19900709,青海省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/159989.jpg,,,,,,,,,, +凸孔坡参,Habenaria acuifera,广西队,221,19550603,广西壮族自治区,200~500,山地,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997838.jpg,,,,,,,,,, +凸孔坡参,Habenaria acuifera,,8372,19310000,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01720146.jpg,,,,,,,,,, +凸孔坡参,Habenaria acuifera,,s.n.,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00340571.jpg,,,,,,,,,, +落地金钱,Habenaria aitchisonii,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",41665,20090801,西藏自治区,3750~3900,rocky meadow and stony slopes and limestone cliffs and boulders,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033616.jpg,,,,,,,,,, +落地金钱,Habenaria aitchisonii,云南考察队(金效华等),YN-ET1646,20090717,云南省,3000,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033559.jpg,,,,,,,,,, +毛瓣玉凤花,Habenaria arietina,FLPH Tibet Expedition,12-0679,20120907,西藏自治区,2850,铁杉树下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966810.jpg,,,,,,,,,, +毛瓣玉凤花,Habenaria arietina,G.Sengupta,1916,19650901,,0~2000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0636130.jpg,,,,,,,,,, +滇蜀玉凤花,Habenaria balfouriana,金效华,9194,20070821,四川省,4236,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825235.jpg,,,,,,,,,, +滇蜀玉凤花,Habenaria balfouriana,俞德俊,15316,19370716,云南省,3000,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00340647.jpg,,,,,,,,,, +长距玉凤花,Habenaria davidii,"税玉良,陈文红等",64323,20060814,云南省,2013,林缘山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867043.jpg,,,,,,,,,, +长距玉凤花,Habenaria davidii,藏东南考察队,SET-ET 345,20090816,西藏自治区,2930,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867039.jpg,,,,,,,,,, +厚瓣玉凤花,Habenaria delavayi,攀枝花苏铁考察队(杨永等),357,20100715,四川省,2147,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033550.jpg,,,,,,,,,, +厚瓣玉凤花,Habenaria delavayi,Jin Xiaohua,10407,20100629,云南省,2400,evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867046.jpg,,,,,,,,,, +鹅毛玉凤花,Habenaria dentata,于胜祥,YSX0252,20100827,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033566.jpg,,,,,,,,,, +鹅毛玉凤花,Habenaria dentata,林鎔,,19430424,福建省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033631.jpg,,,,,,,,,, +鹅毛玉凤花,Habenaria dentata,Shui Yumin et al.,10879,19990911,云南省,1950,in rock cervices,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033185.jpg,,,,,,,,,, +小巧玉凤花,Habenaria diplonema,王启无,70748,19350700,云南省,2800,Mountain slope under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00340102.jpg,,,,,,,,,, +小巧玉凤花,Habenaria diplonema,俞德俊,14014,19370819,四川省,3500,on rock surface,,无花有果,https://image.cvh.ac.cn/files/l/PE/00340101.jpg,,,,,,,,,, +小巧玉凤花,Habenaria diplonema,,2812,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0635875.jpg,,,,,,,,,, +雅致玉凤花,Habenaria fargesii,Luo Yi-bo,844,20020728,甘肃省,2100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867048.jpg,,,,,,,,,, +雅致玉凤花,Habenaria fargesii,李靖唐,644,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00340105.jpg,,,,,,,,,, +,Habenaria fargesii,"Farges, P.G.",1279,1893-7-22,,,,,,https://image.cvh.ac.cn/files/l/P/P00426411.jpg,,,,,,,,,, +粉叶玉凤兰,Habenaria glaucifolia,攀枝花苏铁考察队(杨永等),226,20100711,四川省,2221,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033549.jpg,,,,,,,,,, +粉叶玉凤兰,Habenaria glaucifolia,"杨亲二,袁琼",Yangqe2002,20080725,云南省,3300,林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033332.jpg,,,,,,,,,, +粉叶玉凤兰,Habenaria glaucifolia,"Jin Xh,Wang LS,Wang Q et al.",ST2554,20130808,西藏自治区,3400,高山灌丛和草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01978356.jpg,,,,,,,,,, +大花玉凤花,Habenaria intermedia,青藏队植被组,4687,19750717,西藏自治区,2600,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485182.jpg,,,,,,,,,, +大花玉凤花,Habenaria intermedia,W. Hancock F.L.S.,588,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028689.jpg,,,,,,,,,, +大花玉凤花,Habenaria intermedia,魏来、郝加琛,15447,20150729,西藏,3700,山坡草地,草本,,https://image.cvh.ac.cn/files/l/BNU/0025878.jpg,,,,,,,,,, +宽药隔玉凤花,Habenaria limprichtii,赵佐成,3936,19931020,四川省,1950,阳处沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230188.jpg,,,,,,,,,, +宽药隔玉凤花,Habenaria limprichtii,"H.Li,S.X.Yang,R.Li etc.",20,20020809,云南省,2550,次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109574.jpg,,,,,,,,,, +坡参,Habenaria linguella,华南队,1482,19890913,广西壮族自治区,400,山地山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032992.jpg,,,,,,,,,, +坡参,Habenaria linguella,华南生物多样性调查队 金效华,5043,20031002,海南省,1000~1800,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911571.jpg,,,,,,,,,, +坡参,Habenaria linguella,金效华,9215,20070902,四川省,1557,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825236.jpg,,,,,,,,,, +棒距玉凤花,Habenaria mairei,PE-西藏队,298,20100807,西藏自治区,2895,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866876.jpg,,,,,,,,,, +棒距玉凤花,Habenaria mairei,康藏植物考察队,10-2598,20100822,云南省,3057,山谷林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01866687.jpg,,,,,,,,,, +棒距玉凤花,Habenaria mairei,青藏队,12682,19830806,四川省,2400,山坡 云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01147122.jpg,,,,,,,,,, +南方玉凤花,Habenaria malintana,云南考察队(金效华等),YN-ET1118,20090713,云南省,3000,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033183.jpg,,,,,,,,,, +南方玉凤花,Habenaria malintana,金效华,5292,20031021,海南省,500~700,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867057.jpg,,,,,,,,,, +狭瓣玉凤花,Habenaria stenopetala,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T208,20160915,西藏自治区,1524,temperate alpine region,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02233090.jpg,,,,,,,,,, +狭瓣玉凤花,Habenaria stenopetala,高锡朋,51358,19310416,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00728241.jpg,,,,,,,,,, +,Habenaria szechuanica,Luo Yi-bo,850,20020730,四川省,3450,乱石堆中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867076.jpg,,,,,,,,,, +,Habenaria szechuanica,北京所横断山队,2687,19810805,云南省,2900,白水两岸 云南松林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490130.jpg,,,,,,,,,, +西藏玉凤花,Habenaria tibetica,吴玉虎等,4340,19860807,青海省,3600,阳山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033513.jpg,,,,,,,,,, +西藏玉凤花,Habenaria tibetica,康藏植物考察队,10-1872,20100814,西藏自治区,3800,山谷林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866714.jpg,,,,,,,,,, +卧龙玉凤花,Habenaria wolongensis,"Jin Xh,Wang LS Wang Q et al.",ST2891,20130810,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977263.jpg,,,,,,,,,, +卧龙玉凤花,Habenaria wolongensis,"郎楷永,李良千,费勇",1528,19820824,四川省,2200,银厂沟林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01147128.jpg,,,,,,,,,, +大叶假鹤虱,Hackelia brachytuba,PE西藏考察队,7473,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332628.jpg,,,,,,,,,, +大叶假鹤虱,Hackelia brachytuba,"Q.Wang,K.Yao",9054,19990600,四川省,2400,山坡林下草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115546.jpg,,,,,,,,,, +大叶假鹤虱,Hackelia brachytuba,王启无,63819,19350600,云南省,3500,ravine,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110795.jpg,,,,,,,,,, +异型假鹤虱,Hackelia difformis,PE西藏考察队,7171,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332559.jpg,,,,,,,,,, +异型假鹤虱,Hackelia difformis,高信芬、涂卫国、乔永康、何海,7481,20030920,西藏,3800,高山灌丛草地,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0180938.jpg,,,,,,,,,, +卵萼假鹤虱,Hackelia uncinatum,于胜祥等,4949,20110806,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956010.jpg,,,,,,,,,, +卵萼假鹤虱,Hackelia uncinatum,毛品一,1086,1952/6/1,云南省,3600,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0245722.jpg,,,,,,,,,, +卵萼花锚(原变种),Halenia elliptica var. elliptica,sino-Amer.Exped.,871,19800909,湖北省,2300~2600,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00080487.jpg,,,,,,,,,, +,Halenia elliptica var. elliptica,彭玉兰、涂卫国、幸福,Gaoxf478,20080721,四川,3380,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0204856.jpg,,,,,,,,,, +卵萼花锚(原变种),Halenia elliptica var. elliptica,蒋兴麟,36482,19530804,四川省,3800,,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI037901.jpg,,,,,,,,,, +丝裂碱毛茛,Halerpestes filisecta,PE西藏考察队,7281,20180615,西藏自治区,4458,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332549.jpg,,,,,,,,,, +丝裂碱毛茛,Halerpestes filisecta,林有润,80-112,1980-09-,青海省,3200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087774.jpg,,,,,,,,,, +丝裂碱毛茛,Halerpestes filisecta,青藏队,9732,19760718,西藏,4800,山沟草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/365164.jpg,,,,,,,,,, +狭叶碱毛茛,Halerpestes lancifolia,青藏队,6479,19750726,西藏自治区,4900,河边沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00397635.jpg,,,,,,,,,, +狭叶碱毛茛,Halerpestes lancifolia,李晖,卜海涛,边巴,次旦,Lihui-Q-09-36,20090902,西藏,4588,湖滩草甸边缘,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1232672.jpg,,,,,,,,,, +长叶碱毛茛,Halerpestes ruthenica,中苏队,44,19600629,内蒙古自治区,,湖边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078401.jpg,,,,,,,,,, +长叶碱毛茛,Halerpestes ruthenica,,6,19650730,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980450.jpg,,,,,,,,,, +,Halerpestes sarmentosa,PE西藏队,PE5329,20170828,西藏自治区,4019,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309401.jpg,,,,,,,,,, +,Halerpestes sarmentosa,黄河队,6884,19560522,陕西省,,沟底水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078505.jpg,,,,,,,,,, +,Halerpestes sarmentosa,侯学煜等,270,19570730,内蒙古自治区,,Scirpus(同生植物),,有花有果,https://image.cvh.ac.cn/files/l/PE/02078110.jpg,,,,,,,,,, +三裂碱毛茛,Halerpestes tricuspis,PE西藏考察队,7304,20180615,西藏自治区,4154~4259,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332550.jpg,,,,,,,,,, +三裂碱毛茛,Halerpestes tricuspis,杨永昌,1273,19650724,青海省,4500,水池内退化水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073475.jpg,,,,,,,,,, +白茎盐生草,Halogeton arachnoideus,"郭柯,郑度",12705,19880909,青海省,3200,山地洪积扇上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01352266.jpg,,,,,,,,,, +白茎盐生草,Halogeton arachnoideus,"郭柯,郑度",P-044,19891005,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352180.jpg,,,,,,,,,, +白茎盐生草,Halogeton arachnoideus,"李渤生,郭柯",11627,19880615,新疆维吾尔自治区,1800,潮湿沙地 时见 局部优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352176.jpg,,,,,,,,,, +梭梭,Haloxylon ammodendron,李振宇等,12338,20120727,新疆维吾尔自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01921110.jpg,,,,,,,,,, +梭梭,Haloxylon ammodendron,,14954,19430719,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01817180.jpg,,,,,,,,,, +,Haplosphaera himalayensis,"Ludlow, Frank, Sherriff, George & Hicks, J.H.",6087,17-Aug-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00265231.jpg,,,,,,,,,, +单球芹,Haplosphaera phaea,,23263,19590826,云南省,3900,杜鹃冷杉林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575767.jpg,,,,,,,,,, +单球芹,Haplosphaera phaea,青藏队横断山队,5457,19810828,四川省,4200,山坡 落叶松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129760.jpg,,,,,,,,,, +镰稃草,Harpachne harpachnoides,Liu Yanchun,288,20090913,云南省,,on dry slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089287.jpg,,,,,,,,,, +镰稃草,Harpachne harpachnoides,杨永等,462,20100913,四川省,2149,灌草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01950623.jpg,,,,,,,,,, +云南细裂芹,Harrysmithia franchetii,吴宝成,吴宝成2637,20140921,云南省,,山坡水沟边,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00596174.jpg,,,,,,,,,, +,Harrysmithia franchetii,"Maire, Edouard-Ernest",2357,1906,,,,,,https://image.cvh.ac.cn/files/l/E/E00000544.jpg,,,,,,,,,, +细裂芹,Harrysmithia heterophylla,Harry Smith,10804,19340729,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756358.jpg,,,,,,,,,, +细裂芹,Harrysmithia heterophylla,张代贵,80504004,20080504,湖南张家界,,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU66613.jpg,,,,,,,,,, +,Harrysmithia heterophylla,王乾、顾健,SCW1011,20190816,四川,2547,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0266732.jpg,,,,,,,,,, +短萼折柄茶,Hartia brevicalyx,,2458,19740911,西藏自治区,1600,常绿阔叶林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01499965.jpg,,,,,,,,,, +,Hartia brevicalyx,青藏队,2458,19740911,西藏,1600米,,,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00095092.jpg,,,,,,,,,, +,Hedera nepalensis,"李渤生,程树志",1961,19821201,西藏自治区,2200~2600,常绿阔叶林树上常见藤本,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077812.jpg,,,,,,,,,, +,Hedera nepalensis,川黔队,1780,19561012,贵州省,1450,山坡 阳 岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075630.jpg,,,,,,,,,, +,Hedera nepalensis,"万涛,周世良等",1313,20140321,四川省,,山谷 密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021229.jpg,,,,,,,,,, +常春藤,Hedera nepalensis var. sinensis,"何明友,谭仲明",116956,19830416,四川省,1100,寄生树上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02095091.jpg,,,,,,,,,, +常春藤,Hedera nepalensis var. sinensis,"H.Li,S.X.Yang,R.Li etc.",233,20020814,云南省,2600,常绿阔叶林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090168.jpg,,,,,,,,,, +常春藤,Hedera nepalensis var. sinensis,PLPH Tibet expedition,12-1160,,西藏自治区,,山谷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011103.jpg,,,,,,,,,, +扭果藏荠,Hedinia taxkorganica,塔里木大学资源调查组,Li2J0486,20080726,新疆,3062米,公路边,草本,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU00647.jpg,,,,,,,,,, +藏荠,Hedinia tibetica,"李渤生,郑度,张百平",10826,19870727,新疆维吾尔自治区,4900,山坡 carex 草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083971.jpg,,,,,,,,,, +藏荠,Hedinia tibetica,郭柯,k-145,19900727,青海省,4940,阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046479.jpg,,,,,,,,,, +碧江姜花,Hedychium bijiangense,青藏队,9177,19820809,云南省,1300,山坡常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01314822.jpg,,,,,,,,,, +碧江姜花,Hedychium bijiangense,H.T.Tsai,58471,1934.9.11.,云南,3200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005271.jpg,,,,,,,,,, +红姜花,Hedychium coccineum,深圳考察队,425,19970405,广东省,450,by water,,有花无果,https://image.cvh.ac.cn/files/l/PE/01401804.jpg,,,,,,,,,, +红姜花,Hedychium coccineum,青藏队,74-1747,19740810,西藏自治区,1260,山坡.灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00074952.jpg,,,,,,,,,, +红姜花,Hedychium coccineum,王启无,76210,19360800,云南省,1500,Mixed forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00074947.jpg,,,,,,,,,, +姜花,Hedychium coronarium,广西队,62,19550519,广西壮族自治区,175,低丘陵、田边、灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018408.jpg,,,,,,,,,, +姜花,Hedychium coronarium,毛品一,3087,19530826,云南省,900,"草地,干燥",,有花无果,https://image.cvh.ac.cn/files/l/PE/00074974.jpg,,,,,,,,,, +姜花,Hedychium coronarium,Tsang W.T,21339,19320804,广东省,,"Fairly common;sandy soil,swamp,garden",,有花无果,https://image.cvh.ac.cn/files/l/PE/00074967.jpg,,,,,,,,,, +密花姜花,Hedychium densiflorum,,76-479,19760806,西藏自治区,,铁杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790326.jpg,,,,,,,,,, +密花姜花,Hedychium densiflorum,杨竞生,90-286,1990-07-,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0111326.jpg,,,,,,,,,, +密花姜花,Hedychium densiflorum,王汉臣,2457,1942-08-,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0116331.jpg,,,,,,,,,, +无丝姜花,Hedychium efilamentosum,T.T.Yu,22113,19380726,云南省,1680,Among thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00074983.jpg,,,,,,,,,, +无丝姜花,Hedychium efilamentosum,许建初,42417,19880531,西藏自治区,0,林下,,,https://image.cvh.ac.cn/files/l/KUN/1268370.jpg,,,,,,,,,, +黄姜花,Hedychium flavum,陶国达,19781,19781022,云南省,,水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790339.jpg,,,,,,,,,, +黄姜花,Hedychium flavum,"李渤生,程树志",1626,19821101,西藏自治区,1600~2000,常绿阔叶林下常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376897.jpg,,,,,,,,,, +圆瓣姜花,Hedychium forrestii,北京队,896915,19890909,广西壮族自治区,500,山坡、林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018407.jpg,,,,,,,,,, +圆瓣姜花,Hedychium forrestii,吉占和等,15,19850701,云南省,800,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010817.jpg,,,,,,,,,, +圆瓣姜花,Hedychium forrestii,,2536,19740914,西藏自治区,,热州山地季西林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790337.jpg,,,,,,,,,, +小苞姜花,Hedychium parvibracteatum,,76-542,19760819,西藏自治区,2400,阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790327.jpg,,,,,,,,,, +小苞姜花,Hedychium parvibracteatum,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2601,20090924,西藏,2300,林下,路旁,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390951.jpg,,,,,,,,,, +小花姜花,Hedychium sinoaureum,童绍全,3076,19830808,云南省,1800,山坡石上,,,https://image.cvh.ac.cn/files/l/KUN/1268379.jpg,,,,,,,,,, +小花姜花,Hedychium sinoaureum,张挺,孙之星等,SCSB-B-000431,20070819,云南,1918,季风常绿阔叶林山坡林缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390944.jpg,,,,,,,,,, +毛姜花 (原变种),Hedychium villosum var. villosum,黎宁芬 陆萃红,20244,20090413,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0039718.jpg,,,,,,,,,, +耳草,Hedyotis auricularia,夏江林,376,19950714,湖南省,300,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115527.jpg,,,,,,,,,, +耳草,Hedyotis auricularia,"张寿洲,李良千等",2773,20050713,广东省,900~950,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809554.jpg,,,,,,,,,, +耳草,Hedyotis auricularia,780植被组,445,19781114,云南省,2000,村旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804164.jpg,,,,,,,,,, +头状花耳草,Hedyotis capitellata,刘恩德等,1547,20060408,云南省,1470,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885284.jpg,,,,,,,,,, +头状花耳草,Hedyotis capitellata,曾怀德,30104,19400630,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0401110.jpg,,,,,,,,,, +头状花耳草,Hedyotis capitellata,百色队,1064,19551211,广西壮族自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0401113.jpg,,,,,,,,,, +金毛耳草,Hedyotis chrysotricha,谭策铭,94504,19940728,江西省,,低丘灌草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233705.jpg,,,,,,,,,, +金毛耳草,Hedyotis chrysotricha,刘冰,553,20061028,广西壮族自治区,965,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011649.jpg,,,,,,,,,, +伞房花耳草,Hedyotis corymbosa,"李明生,李振宇等",5998,19860801,福建省,300,山坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113516.jpg,,,,,,,,,, +伞房花耳草,Hedyotis corymbosa,中植联广西队,2785,20080811,广西壮族自治区,500,路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01958589.jpg,,,,,,,,,, +伞房花耳草,Hedyotis corymbosa,780植被组,506,19781121,云南省,1950,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804163.jpg,,,,,,,,,, +丹草,Hedyotis herbacea,秦仁昌,7377,19280912,广西壮族自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0441932.jpg,,,,,,,,,, +丹草,Hedyotis herbacea,侯宽昭,70348,19330315,海南省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0441934.jpg,,,,,,,,,, +丹草,Hedyotis herbacea,陈炳辉,392,19890906,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0441927.jpg,,,,,,,,,, +攀茎耳草,Hedyotis scandens,"李渤生,程树志",4042,19830412,西藏自治区,1100,林边灌丛中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080935.jpg,,,,,,,,,, +攀茎耳草,Hedyotis scandens,刘恩德等,1575,20060412,云南省,1200,河边、阴湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885286.jpg,,,,,,,,,, +,Hedyotis vestita,海南西队,75,19540408,海南省,,云田片岩 砂壤土,,有花有果,https://image.cvh.ac.cn/files/l/PE/00736840.jpg,,,,,,,,,, +,Hedyotis vestita,梁向日,64879,19340121,海南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0508021.jpg,,,,,,,,,, +美丽岩黄芪,Hedysarum algidum var. speciosum,区划第二组,101,19810703,青海省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/101544.jpg,,,,,,,,,, +山岩黄蓍,Hedysarum alpinum,维世鹏,588,19730814,内蒙古自治区,,白桦林下,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108544.jpg,,,,,,,,,, +山岩黄蓍,Hedysarum alpinum,山西队,541,19540719,山西省,2270,山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067567.jpg,,,,,,,,,, +,Hedysarum campylocarpon,青藏队植被组,5074,19750710,西藏自治区,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01539244.jpg,,,,,,,,,, +曲果岩黄耆,Hedysarum campylocarpon,"张挺, 刘成, 亚吉东",18CS17724,20180917,西藏,3604,路边山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483939.jpg,,,,,,,,,, +,Hedysarum citrinum,康藏植物考察队,10-1689,20100812,西藏自治区,3700,山谷岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108546.jpg,,,,,,,,,, +,Hedysarum citrinum,D.E.Boufford et al.,37287,20060825,四川省,3210,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01925167.jpg,,,,,,,,,, +藏西岩黄耆,Hedysarum falconeri,魏来,郝加琛,15319,20150727,西藏自治区,3977,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0029719.jpg,,,,,,,,,, +,Hedysarum falconeri,"Falconer, H.",441,1864,,,,,,https://image.cvh.ac.cn/files/l/P/P02766217.jpg,,,,,,,,,, +河滩岩黄蓍,Hedysarum ferganense var. poncinsii,西植新疆队,1718,1978/7/18,新疆,3020,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0336272.jpg,,,,,,,,,, +河滩岩黄蓍,Hedysarum ferganense var. poncinsii,新疆队,1807,1978/7/30,新疆省,3000,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0336056.jpg,,,,,,,,,, +河滩岩黄耆,Hedysarum ferganense var. poncinsii,,,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00027260.jpg,,,,,,,,,, +,Hedysarum fistulosum,"Jin Xh,Wang LS,Wang Q,Wei R. Fu ZX,Feng YL",ST0491,20130718,云南省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108569.jpg,,,,,,,,,, +,Hedysarum fistulosum,周应再,Zhyz-304,20080917,云南,1632,荒田上,灌木,,https://image.cvh.ac.cn/files/l/KUN/1322768.jpg,,,,,,,,,, +乌恰岩黄耆,Hedysarum flavescens,,,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00027261.jpg,,,,,,,,,, +乌恰岩黄耆,Hedysarum flavescens,邢吉庆,22211,19730828,新疆维吾尔自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH016205.jpg,,,,,,,,,, +华北岩黄蓍,Hedysarum gmelinii,,雁082,19870909,山西省,1600,阴坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01833826.jpg,,,,,,,,,, +华北岩黄蓍,Hedysarum gmelinii,黄河调查队,8349,19560828,陕西省,1900,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607969.jpg,,,,,,,,,, +华北岩黄蓍,Hedysarum gmelinii,黄河调查队,7870,19560903,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607968.jpg,,,,,,,,,, +,Hedysarum jinchuanense,"南水北调队,姜恕",7149,19610530,四川省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00327319.jpg,,,,,,,,,, +,Hedysarum kumaonense,"李渤生,李辉,阳艺",13908,19900920,西藏自治区,3500~3700,Betula林下湿地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01364603.jpg,,,,,,,,,, +,Hedysarum laxiflorum,"Falconer, H.",440,1864,,,,,,https://image.cvh.ac.cn/files/l/P/P02765702.jpg,,,,,,,,,, +,Hedysarum limitaneum,北京所横断山队,3579,19810824,云南省,4150~4300,灌丛草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01486047.jpg,,,,,,,,,, +,Hedysarum limitaneum,T.T.Yu,14441,19371007,四川省,3100,Under bush thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/00327350.jpg,,,,,,,,,, +长柄岩黄芪,Hedysarum longigynophorum,"Y.S.Chen,Z.Y.Chang,M.Deng F.Q.Zhang,Y.Xu",13-0286,20130804,西藏自治区,4343,山谷草坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01992264.jpg,,,,,,,,,, +,Hedysarum nagarzense,青藏队植被组,7712,19750904,西藏自治区,4500,砾岩阳坡,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01432530.jpg,,,,,,,,,, +,Hedysarum nagarzense,杨昌友,1006,19420411,新疆维吾尔自治区,1950,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00320698.jpg,,,,,,,,,, +,Hedysarum polybotrys var. alaschanicum,"清水建美,近田文弘等",482,19910731,新疆维吾尔自治区,2450,picea林内 草地的斜坡岩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467735.jpg,,,,,,,,,, +,Hedysarum polybotrys var. alaschanicum,Y.Y.Pai,P.131,19330828,甘肃省,1700,In valley under stones,,有花有果,https://image.cvh.ac.cn/files/l/PE/00320713.jpg,,,,,,,,,, +宽叶岩黄蓍,Hedysarum polybotrys var. alaschanicum,杨金祥,5362,1984/9/25,宁夏回族自治区,2500,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0451130.jpg,,,,,,,,,, +紫云英岩黄耆,Hedysarum pseudastragalus,刘尚武,126,19650629,青海省,4100,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0261368.jpg,,,,,,,,,, +紫云英岩黄耆,Hedysarum pseudastragalus,徐朗然,37,19810910,四川省,4400,高山干燥阳坡,,无花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0423497.jpg,,,,,,,,,, +紫云英岩黄耆,Hedysarum pseudastragalus,高云东,黎怀成,郑臣臣,THP-KD-2390,20170713,四川,4500~4700,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244536.jpg,,,,,,,,,, +,Hedysarum sikkimense,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0798,20130809,西藏自治区,5100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992289.jpg,,,,,,,,,, +,Hedysarum sikkimense,"朱相云,杨永,潘勃",2005100,20050722,云南省,4190,山坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01952421.jpg,,,,,,,,,, +,Hedysarum sikkimense,刘尚武,381,19650811,青海省,4200,阳坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01539218.jpg,,,,,,,,,, +,Hedysarum tanguticum,任再金,人882,19820807,西藏自治区,4400,高山草地草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108591.jpg,,,,,,,,,, +,Hedysarum tanguticum,汤宗孝,1209,19830629,四川省,4150,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108589.jpg,,,,,,,,,, +,Hedysarum thiochroum,"田,张",56(5),19810727,云南省,4070,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00417425.jpg,,,,,,,,,, +中甸岩黄耆,Hedysarum thiochroum,赵清盛、胡刚、吕发强,7887,1978-8 2,四川省,3570,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0058949.jpg,,,,,,,,,, +,Hedysarum tibeticum,徐源,常朝阳,金伟涛,xu130300,20130827,西藏自治区,4170,路旁青稞地边水池旁,,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0534061.jpg,,,,,,,,,, +藏豆,Hedysarum tibeticum,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20805,20200629,西藏,3821,河滩地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505929.jpg,,,,,,,,,, +西藏岩黄耆,Hedysarum xizangense,青藏队补点组,950772,19750725,西藏自治区,3100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/51408.jpg,,,,,,,,,, +西藏山龙眼,Helicia tibetensis,"李渤生,程树志,倪志诚",1800-2100,19830520,西藏自治区,1800~2100,常绿阔叶林中常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073310.jpg,,,,,,,,,, +西藏山龙眼,Helicia tibetensis,"刘成, 亚吉东",18CS17282,20181124,西藏,1636,常绿阔叶林下林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487480.jpg,,,,,,,,,, +高异燕麦,Helictotrichon altius,"汤宗孝,柏正强,任文夫",792,19930809,四川省,3400,山坡 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01607153.jpg,,,,,,,,,, +高异燕麦,Helictotrichon altius,"应俊生,洪德元",650159,19650523,西藏自治区,2650,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536430.jpg,,,,,,,,,, +高异燕麦,Helictotrichon altius,滇西北金沙江队,6711,19630900,云南省,2650,山坡荞麦地边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536429.jpg,,,,,,,,,, +云南异燕麦,Helictotrichon delavayi,Peng Hua et al.,163,20070808,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089475.jpg,,,,,,,,,, +云南异燕麦,Helictotrichon delavayi,中国科学院西南综考队接壤分队,1032,19650924,四川省,3500,草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929877.jpg,,,,,,,,,, +云南异燕麦,Helictotrichon delavayi,李渤生等,6021,19830729,西藏自治区,3600,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805479.jpg,,,,,,,,,, +,Helictotrichon hookeri,郭柯等,天山-257,19860802,新疆维吾尔自治区,2780,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805782.jpg,,,,,,,,,, +,Helictotrichon hookeri,郭柯等,天山-596,19860815,,2460,山谷冲积平原,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805779.jpg,,,,,,,,,, +,Helictotrichon junghuhnii,"Peng hua,Liu Yanchun and et al.",67,20070718,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089273.jpg,,,,,,,,,, +,Helictotrichon junghuhnii,,5794,19310903,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01674140.jpg,,,,,,,,,, +光花异燕麦,Helictotrichon leianthum,曲桂齡,2482,19250000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536519.jpg,,,,,,,,,, +光花异燕麦,Helictotrichon leianthum,刘瑛,165,19570524,湖北省,,阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536512.jpg,,,,,,,,,, +光花异燕麦,Helictotrichon leianthum,贺贤育,21138,19570426,浙江省,,西南山坡林缘路旁石隙中阳,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536509.jpg,,,,,,,,,, +粗糙异燕麦,Helictotrichon schmidii,汤宗孝,382,19810615,云南省,2400,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01607147.jpg,,,,,,,,,, +粗糙异燕麦,Helictotrichon schmidii,汤宗孝,1848,19830828,四川省,3650,亚高山草原化草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607140.jpg,,,,,,,,,, +藏异燕麦,Helictotrichon tibeticum,,105,19640619,青海省,4500,山地阴坡向阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082946.jpg,,,,,,,,,, +藏异燕麦,Helictotrichon tibeticum,王金亭,3445,19610618,西藏自治区,4300,石灰岩山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076430.jpg,,,,,,,,,, +藏异燕麦,Helictotrichon tibeticum,王文中,3029,19540701,甘肃省,,水旁 草本,,无花无果,https://image.cvh.ac.cn/files/l/PE/01827273.jpg,,,,,,,,,, +毛果天芥菜,Heliotropium lasiocarpum,"谭敦炎, 吉乃提等",TanDY0616,20090904,新疆,,路边荒漠,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1380717.jpg,,,,,,,,,, +毛果天芥菜,Heliotropium lasiocarpum,黄土队(晋),529,1983/6/20,山西省,400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0444926.jpg,,,,,,,,,, +毛果天芥菜,Heliotropium lasiocarpum,张振万,3178,1974/7/12,新疆维吾尔族自治区,450,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0394642.jpg,,,,,,,,,, +细叶天芥菜,Heliotropium strigosum,中苏队,9281,19570411,云南省,,平原水田中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02079476.jpg,,,,,,,,,, +细叶天芥菜,Heliotropium strigosum,徐闻调查队,701,19541108,广东省,40,中型起伏 沟边沙丘草地 阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01582100.jpg,,,,,,,,,, +离瓣寄生,Helixanthera parasitica,"张志耘,谢磊,张强",2015-234,20150508,广西壮族自治区,340,valley road side,,无花有果,https://image.cvh.ac.cn/files/l/PE/02062369.jpg,,,,,,,,,, +离瓣寄生,Helixanthera parasitica,生态室高原组,11139,19800716,西藏自治区,1200,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01804251.jpg,,,,,,,,,, +离瓣寄生,Helixanthera parasitica,王洪,7095,20040506,云南省,1000,栎类林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602679.jpg,,,,,,,,,, +油茶离瓣寄生,Helixanthera sampsonii,"武全安,俞绍文",963,19820719,云南省,1500,寄生于油茶树上,,,https://image.cvh.ac.cn/files/l/KUN/1291672.jpg,,,,,,,,,, +油茶离瓣寄生,Helixanthera sampsonii,李学根,201465,19580526,广东省,350,山地、路旁、灌丛、坡度:20,坡向:东南,少见,寄生,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI023066.jpg,,,,,,,,,, +油茶离瓣寄生,Helixanthera sampsonii,刘克旺,32925,19840923,湖南省,220,路边,寄生,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI023065.jpg,,,,,,,,,, +林地离瓣寄生,Helixanthera terrestris,陈伟烈,10882,19800704,西藏自治区,900,寄生在Ficus树上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01491331.jpg,,,,,,,,,, +铁筷子,Helleborus thibetanus,"王雪兵,苏旭,陈淑荣等",2014ZWWL-0014,20140428,四川省,2600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02021484.jpg,,,,,,,,,, +铁筷子,Helleborus thibetanus,T.P.Wang,6384,19370320,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841842.jpg,,,,,,,,,, +铁筷子,Helleborus thibetanus,秦岭队,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01829043.jpg,,,,,,,,,, +,Helwingia chinensis var. chinensis,T.Yoshida,K60,20110719,云南省,2250,in a wet forest,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1217077.jpg,,,,,,,,,, +中华青荚叶(原变种),Helwingia chinensis var. chinensis,sino-Amer.Exped.,453,19800831,湖北省,1250,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00037014.jpg,,,,,,,,,, +中华青荚叶,Helwingia chinensis var. chinensis,贵州队,4906,19600623,贵州省,1600,山坡灌丛中,灌木,,https://image.cvh.ac.cn/files/l/IBK/IBK00332961.jpg,,,,,,,,,, +钝齿青荚叶,Helwingia chinensis var. crenata,青藏队,7610,19820625,云南省,2800~3200,山坡、常绿阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00936112.jpg,,,,,,,,,, +钝齿青荚叶,Helwingia chinensis var. crenata,戴天伦,100656,19580527,重庆市,1100,灌木林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00936095.jpg,,,,,,,,,, +钝齿青荚叶,Helwingia chinensis var. crenata,W.P.Fang,13450,19390507,四川省,,Under forests,,无花无果,https://image.cvh.ac.cn/files/l/PE/00936094.jpg,,,,,,,,,, +西域青荚叶,Helwingia himalaica,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1093,20021110,云南省,2570,林(中)下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101005.jpg,,,,,,,,,, +西域青荚叶,Helwingia himalaica,巴山采集队,5811,20120628,四川省,1270,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066077.jpg,,,,,,,,,, +西域青荚叶,Helwingia himalaica,"简焯坡,应俊生,马成功等",30350,19630806,贵州省,870,密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02041151.jpg,,,,,,,,,, +,Helwingia japonica var. hypoleuca,,2741,,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01575131.jpg,,,,,,,,,, +,Helwingia japonica var. hypoleuca,鄂神农架植考队,30613,19760623,湖北省,1200,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01021026.jpg,,,,,,,,,, +青荚叶,Helwingia japonica var. japonica,蓝开敏,90-01818,19900407,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0019430.jpg,,,,,,,,,, +乳突青荚叶,Helwingia japonica var. papillosa,"高茂国,程子白,伍煜庭",116423,19820530,四川省,1865,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01547500.jpg,,,,,,,,,, +乳突青荚叶,Helwingia japonica var. papillosa,倪城诚,281,19800629,西藏自治区,2700,杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00937119.jpg,,,,,,,,,, +,Hemarthria sibirica,王忠涛,s.n.,19890900,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246461.jpg,,,,,,,,,, +,Hemarthria sibirica,植物资源考察队,T00020,19850715,河南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246266.jpg,,,,,,,,,, +,Hemarthria sibirica,郭成勇,15063-10,20020811,山东省,150,路边田埂,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246253.jpg,,,,,,,,,, +北萱草,Hemerocallis esculenta,云台山采集队,694,20090611,河南省,,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023856.jpg,,,,,,,,,, +北萱草,Hemerocallis esculenta,,12331,,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00153203.jpg,,,,,,,,,, +北萱草,Hemerocallis esculenta,,170,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00153165.jpg,,,,,,,,,, +西南萱草,Hemerocallis forrestii,巴山采集队,5028,20110629,四川省,1818,山脊,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872817.jpg,,,,,,,,,, +西南萱草,Hemerocallis forrestii,"陈耀东,傅连中,马欣堂",2415,19890823,重庆市,1950,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01594111.jpg,,,,,,,,,, +西南萱草,Hemerocallis forrestii,北京所横断山队,1233,19810709,云南省,1800,生于水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01538134.jpg,,,,,,,,,, +萱草,Hemerocallis fulva,巴山采集队,5999,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066244.jpg,,,,,,,,,, +萱草,Hemerocallis fulva,巴山采集队,6286,20120708,四川省,554~610,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066243.jpg,,,,,,,,,, +萱草,Hemerocallis fulva,孔冬梅,k0204,20140717,山西省,700,河滩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038251.jpg,,,,,,,,,, +矮萱草,Hemerocallis nana,黔南队,2772,19590713,贵州省,,田边 水旁 潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01318051.jpg,,,,,,,,,, +矮萱草,Hemerocallis nana,George Forrest,20424,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00153133.jpg,,,,,,,,,, +矮萱草,Hemerocallis nana,J.F.Rock,5231,19320500,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00035703.jpg,,,,,,,,,, +折叶萱草,Hemerocallis plicata,赵常明,EX0615,20070909,湖北省,550,河边石缝中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01823136.jpg,,,,,,,,,, +折叶萱草,Hemerocallis plicata,廉永善等,96437,19960808,甘肃省,1150,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01594095.jpg,,,,,,,,,, +折叶萱草,Hemerocallis plicata,横断山队植被组,4270,19830624,四川省,3200,山坡 上部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538135.jpg,,,,,,,,,, +小叶半脊荠,Hemilophia rockii,蓝顺彬,547,19850825,云南省,4300,高山岩脚湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01054896.jpg,,,,,,,,,, +小叶半脊荠,Hemilophia rockii,俞德俊,6479,19370620,四川省,3900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01054894.jpg,,,,,,,,,, +鞭打绣球,Hemiphragma heterophyllum,PE西藏考察队,7980,20180627,西藏自治区,2864,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332461.jpg,,,,,,,,,, +鞭打绣球,Hemiphragma heterophyllum,Q.Wang,33,19991000,四川省,2500,山谷林中崖石上草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115566.jpg,,,,,,,,,, +鞭打绣球,Hemiphragma heterophyllum,C.W.Wang,68838,19350800,云南省,3700,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115463.jpg,,,,,,,,,, +心叶舌喙兰,Hemipilia cordifolia,青藏队,6303,19750712,西藏自治区,2400,山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00340869.jpg,,,,,,,,,, +心叶舌喙兰,Hemipilia cordifolia,E.H. Wilson,2248,,湖北; HUPEH,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028749.jpg,,,,,,,,,, +,Hemipilia cordifolia,P. G. Farges,1200,1893-8,,1400,,,,https://image.cvh.ac.cn/files/l/NY/00579394.jpg,,,,,,,,,, +,Hemipilia crassicalcarata,云台山采集队,1293,20090822,河南省,600~700,路边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023829.jpg,,,,,,,,,, +,Hemipilia crassicalcarata,Luo Yi-bo,68,19980719,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01681710.jpg,,,,,,,,,, +,Hemipilia crassicalcarata,,260,19590517,陕西省,1120,黄土山坡侧柏林下阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517113.jpg,,,,,,,,,, +扇唇舌喙兰,Hemipilia flabellata,Jin Weitao,13417,20120706,云南省,1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233115.jpg,,,,,,,,,, +扇唇舌喙兰,Hemipilia flabellata,巴山采集队,2869,20100720,四川省,938,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059914.jpg,,,,,,,,,, +,Hemipilia forrestii,蒋宏,2651,20030619,云南省,1700,路边 草坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01451955.jpg,,,,,,,,,, +,Hemipilia forrestii,彭玉兰、涂卫国、余春丽,Gaoxf762,20080824,四川,1572,,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0205924.jpg,,,,,,,,,, +长距舌喙兰,Hemipilia forrestii,Forrest,19033,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028745.jpg,,,,,,,,,, +,Hemipilia quinquangularis,Luo Yi-bo,213(38),19980629,四川省,2700~2740,Gango valley at the foot of limestone hill or on W facing rocky slope under lightly degraded woodland of Quercus,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527225.jpg,,,,,,,,,, +,Hemipilia quinquangularis,北京所横断山队,1377,19810711,云南省,2900,云南松 波罗栎 次生灌丛中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490106.jpg,,,,,,,,,, +,Hemipiliopsis purpureopunctata,黄向旭、钟智波,15903,20130609,西藏自治区,0~1871,山地、路旁、山谷,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0774773.jpg,,,,,,,,,, +泥胡菜,Hemisteptia lyrata,"覃海宁,王印政,文香英,邓德山,唐赛春,农必明,张宪春,夏念和",501,19980412,广西壮族自治区,,石山,,,https://image.cvh.ac.cn/files/l/KUN/1288072.jpg,,,,,,,,,, +泥胡菜,Hemisteptia lyrata,袁明,YUANM2015L124,20151203,四川,300,田埂,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1448892.jpg,,,,,,,,,, +泥胡菜,Hemisteptia lyrata,"亚吉东, 李涟漪",15CS11590,20151216,云南,1292,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1455613.jpg,,,,,,,,,, +曲莲,Hemsleya amabilis,"H.Li,S.X.Yang,R.Li etc.",25,20020809,云南省,2550,次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110808.jpg,,,,,,,,,, +曲莲,Hemsleya amabilis,红水河植物考察队,564,19890425,广西壮族自治区,1450,山坡常绿林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016885.jpg,,,,,,,,,, +独龙江雪胆,Hemsleya dulongjiangensis,T.T.Yu,20394,19380921,云南省,1400,upon woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/00032025.jpg,,,,,,,,,, +,Hemsleya dulongjiangensis,T. T. Yu,20394,1938/9/21,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00031892.jpg,,,,,,,,,, +独龙江雪胆,Hemsleya dulongjiangensis,T.T. Yü ,20394,19380921,云南,1400,Upon woods,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1205761.jpg,,,,,,,,,, +十一叶雪胆,Hemsleya endecaphylla,李德铢,88195,19881019,云南省,2400,栽培,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0551315.jpg,,,,,,,,,, +马铜铃,Hemsleya graciliflora,赵常明,EX2139,20080928,湖北省,1000,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01868472.jpg,,,,,,,,,, +马铜铃,Hemsleya graciliflora,北京队,4329,19880901,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01319850.jpg,,,,,,,,,, +马铜铃,Hemsleya graciliflora,百色,1858,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01179078.jpg,,,,,,,,,, +丽江雪胆,Hemsleya lijiangensis,秦,23003,19290622,云南省,,杂木林内箐边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01179086.jpg,,,,,,,,,, +鹅掌柴,Heptapleurum heptaphyllum,BNUZ19-04,35,20210420,广东,20m,,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0054764.jpg,,,,,,,,,, +,Heptapleurum hoi,A. Henry,9723,,,,,,,https://image.cvh.ac.cn/files/l/NY/00169039.jpg,,,,,,,,,, +印度独活,Heracleum barmanicum,H.T.Tsai,58911,19341023,云南省,,side the stream,,无花无果,https://image.cvh.ac.cn/files/l/PE/00756417.jpg,,,,,,,,,, +印度独活,Heracleum barmanicum,川经植,1982,19590821,四川省,,山坡阳处草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756407.jpg,,,,,,,,,, +二管独活,Heracleum bivittatum,周仕顺,6520,20090828,云南省,700,河边次生杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01942048.jpg,,,,,,,,,, +二管独活,Heracleum bivittatum,方文培,15661,19401100,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01881864.jpg,,,,,,,,,, +二管独活,Heracleum bivittatum,S.W.Feng,1214,19350926,贵州省,,in bamboostand,,有花有果,https://image.cvh.ac.cn/files/l/PE/01881865.jpg,,,,,,,,,, +白亮独活,Heracleum candicans,PE西藏考察队,Feb-54,20180614,西藏自治区,4121,河谷、山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333026.jpg,,,,,,,,,, +白亮独活,Heracleum candicans,汤宗孝等,355,19930803,四川省,3300,草甸草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01611367.jpg,,,,,,,,,, +,Heracleum candicans var. obtusifolium,"任宗昕,蒋伟,张明英,骆洋,王雪芹",WH-2012-0655,20120627,云南省,2501,松林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1336360.jpg,,,,,,,,,, +钝叶独活,Heracleum candicans var. obtusifolium,钟扬,ZhongY1054,20110920,西藏,,高山草甸,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1336318.jpg,,,,,,,,,, +钝叶独活,Heracleum candicans var. obtusifolium,云南综队,,,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00023567.jpg,,,,,,,,,, +灰白独活,Heracleum canescens,"唐宇丹,林秦文",2010-003,20100912,西藏自治区,4361,湖岸 全光照 沙石,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014823.jpg,,,,,,,,,, +,Heracleum canescens,马永鹏,ZhangCQ-0023,20080913,西藏,,亚热带针阔叶常绿混交林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1336385.jpg,,,,,,,,,, +灰白独活,Heracleum canescens,蒋兴麐,36647,19530816,四川省,3850,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00024733.jpg,,,,,,,,,, +中甸独活,Heracleum forrestii,倪志诚等,253,19800627,西藏自治区,2300,河谷灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01941636.jpg,,,,,,,,,, +中甸独活,Heracleum forrestii,C.W.Wang,68472,19350800,云南省,3600,Mountain slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/00756555.jpg,,,,,,,,,, +中甸独活,Heracleum forrestii,和炳先,85-012,,云南省 ,3700,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00023550.jpg,,,,,,,,,, +,Heracleum franchetii,青藏队横断山队,3944,19810809,四川省,3850~4000,山沟内,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129773.jpg,,,,,,,,,, +,Heracleum franchetii,北京植物所横断山队,1412,19810712,云南省,3250,铁杉林间空地 近水边常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129767.jpg,,,,,,,,,, +,Heracleum franchetii,T.N.Ho (HNWP) et al.,2633,19960829,青海省,3450,"Growing under trees and shrubs,common",,有花有果,https://image.cvh.ac.cn/files/l/PE/00756557.jpg,,,,,,,,,, +独活,Heracleum hemsleyanum,"武建勇,吴振海,刘艳等",122,20050708,陕西省,1921,路边林缘林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575455.jpg,,,,,,,,,, +独活,Heracleum hemsleyanum,"曹亚玲,溥发鼎",948,19880719,重庆市,1400~1550,杂灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01344562.jpg,,,,,,,,,, +独活,Heracleum hemsleyanum,青藏队,7773,19820629,西藏自治区,3000,山坡 云南松林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129774.jpg,,,,,,,,,, +思茅独活,Heracleum henryi,T.T.Yü,17236,19380806,云南省,2300,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01881763.jpg,,,,,,,,,, +思茅独活,Heracleum henryi,刘瑛,13293,19500809,河北省,1250,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0460514.jpg,,,,,,,,,, +,Heracleum kingdonii,"张廷,蔡杰,袁明,刘恩德,郭永杰",09CS1576,20090924,西藏自治区,3829,山坡林缘,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336428.jpg,,,,,,,,,, +贡山独活,Heracleum kingdonii,"彭华, 刘恩德, 陈丽",PengH5540,20071203,云南,1400,次灌丛中,沟边林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444284.jpg,,,,,,,,,, +丽江独活,Heracleum likiangense,R.C.Ching,21721,19390920,云南省,,On open pasturen,,无花无果,https://image.cvh.ac.cn/files/l/PE/00756579.jpg,,,,,,,,,, +,Heracleum millefolium var. millefolium,T.N.Ho(HNWP) et al.,2087,19960819,青海省,3850~3950,Growing on disturbed soil banks in shade.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756606.jpg,,,,,,,,,, +,Heracleum nepalense,"李渤生,李辉,阳艺",13464,19900904,西藏自治区,3600~3800,高山灌丛草甸中见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196056.jpg,,,,,,,,,, +,Heracleum nepalense,北京所横断山队,3163,19810817,云南省,3400~3600,高山栎 云杉林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129787.jpg,,,,,,,,,, +尼泊尔独活,Heracleum nepalense,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00038885.jpg,,,,,,,,,, +聂拉木独活,Heracleum nyalamense,PE西藏考察队,7514,20180617,西藏自治区,3821,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332787.jpg,,,,,,,,,, +聂拉木独活,Heracleum nyalamense,,900,19590600,,3800,空旷之湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01881806.jpg,,,,,,,,,, +山地独活,Heracleum oreocharis,"李渤生,倪志诚,程树志",6714,19830819,西藏自治区,3100,Tsuga林缘 灌丛中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537366.jpg,,,,,,,,,, +山地独活,Heracleum oreocharis,秦仁昌,23878,19290811,云南省,2850,杂林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01881710.jpg,,,,,,,,,, +山地独活,Heracleum oreocharis,岳俊三,宋国杰,庄体德,64050,19640827,四川省,2920,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00024724.jpg,,,,,,,,,, +鹤庆独活,Heracleum rapula,,71-716,19710000,云南省 ,,高山肥沃土质的石隙中,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1266993.jpg,,,,,,,,,, +鹤庆独活,Heracleum rapula,,,19740820,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075140.jpg,,,,,,,,,, +烧羊古,Heracleum rapula,王朝明,193,19870412,贵州省,,山坡沟边阴湿地,草本,无花无果,https://image.cvh.ac.cn/files/l/GZTM/0028847.jpg,,,,,,,,,, +糙独活,Heracleum scabridum,Anonymous,7365,19740709,四川省,3700,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01940357.jpg,,,,,,,,,, +糙独活,Heracleum scabridum,汤宗孝,516,19810703,云南省,3450,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01629670.jpg,,,,,,,,,, +康定独活,Heracleum souliei,蓝顺彬,121,19840814,云南省,3000,山坡湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575764.jpg,,,,,,,,,, +康定独活,Heracleum souliei,"胡文光,何铸",10367,19510717,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756853.jpg,,,,,,,,,, +康定独活,Heracleum souliei,Tso-Pin Wang,5520,,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00024787.jpg,,,,,,,,,, +狭翅独活,Heracleum stenopterum,青藏队横断山队,3963,19810809,四川省,3800~3900,山沟内 林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129800.jpg,,,,,,,,,, +狭翅独活,Heracleum stenopterum,赵锡光,30348,19390704,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756859.jpg,,,,,,,,,, +微绒毛独活,Heracleum subtomentellum,青藏队,76-9163,19760905,西藏自治区,4400,河谷滩地,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/01843423.jpg,,,,,,,,,, +微绒毛独活,Heracleum subtomentellum,潘泽惠,袁昌齐等,84,19841003,云南省,2200,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00023680.jpg,,,,,,,,,, +微绒毛独活,Heracleum subtomentellum,闫平 刘鸯,7138,20080809,新疆维吾尔自治区,3650,山谷,石坡,多年生,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00578881.jpg,,,,,,,,,, +,Heracleum vicinum,李盛兰,GanQL367,20121027,湖北省,1300,路边林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336509.jpg,,,,,,,,,, +平截独活,Heracleum vicinum,"T.N.Liou,P.C.Tsoong",1048,1937/9/18,陕西,,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0034167.jpg,,,,,,,,,, +平截独活,Heracleum vicinum,李培元,6161,1959/8/11,四川,200,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0142471.jpg,,,,,,,,,, +永宁独活,Heracleum yungningense,神农架队,22338,19760820,湖北省,1800,草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086816.jpg,,,,,,,,,, +永宁独活,Heracleum yungningense,川经植,1978,19590823,四川省,,山坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756867.jpg,,,,,,,,,, +永宁独活,Heracleum yungningense,青藏科考队,12708,19760809,西藏自治区,3900~4000,云杉林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01881792.jpg,,,,,,,,,, +云南独活,Heracleum yunnanense,李馨,74258,19570829,四川省,3400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01881834.jpg,,,,,,,,,, +裂瓣角盘兰,Herminium alaschanicum,FLPH Tibet Expedition,12-0332,20120909,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967632.jpg,,,,,,,,,, +裂瓣角盘兰,Herminium alaschanicum,吴玉虎,3642,19860726,青海省,2700,林缘,河边,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867370.jpg,,,,,,,,,, +狭唇角盘兰,Herminium angustilabre,青藏队,8543,19820724,云南省,3500,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766432.jpg,,,,,,,,,, +厚唇角盘兰,Herminium carnosilabre,"税玉良,陈文红等",64275,20060813,云南省,2185,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866779.jpg,,,,,,,,,, +厚唇角盘兰,Herminium carnosilabre,张挺,蔡杰,郭永杰,刘成,张桥蓉,11CS3099,20110814,云南,2963,次生黄背栎林下,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1394002.jpg,,,,,,,,,, +,Herminium carnosilabre,T. T. Yu,20244,1938/9/14,,3200,,,,https://image.cvh.ac.cn/files/l/HUH/AMES00104955.jpg,,,,,,,,,, +,Herminium chloranthum,康藏植物考察队,10-1380,20100805,西藏自治区,3904,河谷草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01866882.jpg,,,,,,,,,, +,Herminium chloranthum,T.T.Yu,9229,19370727,云南省,4020,Mt frassy land,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766553.jpg,,,,,,,,,, +条叶角盘兰,Herminium coiloglossum,刘慎谔,19380,19401017,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766464.jpg,,,,,,,,,, +条叶角盘兰,Herminium coiloglossum,M.K.Li,449,1939/10/11,云南,1660,,herb,无花无果,https://image.cvh.ac.cn/files/l/WUK/0244558.jpg,,,,,,,,,, +条叶角盘兰,Herminium coiloglossum,袁登学,520222150716002LY,20150716,贵州省,2231.3,野生植物、中温、旱生、阳性、酸性土、草原,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0045493.jpg,,,,,,,,,, +无距角盘兰,Herminium ecalcaratum,,1284,19830702,四川省,3850,高山草甸草场,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866793.jpg,,,,,,,,,, +无距角盘兰,Herminium ecalcaratum,秦仁昌,24318,19290903,云南省,2600,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766465.jpg,,,,,,,,,, +无距角盘兰,Herminium ecalcaratum,"朱鑫鑫, 林庶, 胡梦杰",ZXX191221,20190911,云南,2593,亚热带针叶林,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486163.jpg,,,,,,,,,, +雅致角盘兰,Herminium glossophyllum,Luo Yi-bo,233(59),19980702,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867313.jpg,,,,,,,,,, +雅致角盘兰,Herminium glossophyllum,HK kadoorie teaus,1088,20010706,云南省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825239.jpg,,,,,,,,,, +宽唇角盘兰,Herminium josephii,海仙,刘景欣,李红,肖茂荣,HB2007-107,20070929,云南省,2420,云南松林下群落,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 004391.jpg,,,,,,,,,, +宽卵角盘兰,Herminium josephii,余奇,熊静,CIBYQ072B008,20190620,四川,3261,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1502102.jpg,,,,,,,,,, +宽卵角盘兰,Herminium josephii,亚吉东;张荣桢;张捷;陈琪,19CS18601,20190905,云南,3118,云南松林草地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1552656.jpg,,,,,,,,,, +叉唇角盘兰,Herminium lanceum,"杨亲二,袁琼",Yangqe2268,20080818,云南省,2800,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230204.jpg,,,,,,,,,, +叉唇角盘兰,Herminium lanceum,"黄建益,吴俊奇,林佩蓉,杨东政",1116,20020812,台湾省,2550,"On soil slope,roadside,exposed,dry,common.",,有花无果,https://image.cvh.ac.cn/files/l/PE/02089893.jpg,,,,,,,,,, +耳片角盘兰,Herminium macrophyllum,PE-西藏队,803,20100810,西藏自治区,2800~3351,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866878.jpg,,,,,,,,,, +耳片角盘兰,Herminium macrophyllum,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485215.jpg,,,,,,,,,, +角盘兰,Herminium monorchis,周俭,241,19570805,四川省,2900,河南林缘幼树林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230224.jpg,,,,,,,,,, +角盘兰,Herminium monorchis,"向巧萍,曲上等",GPS243-34,20140708,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230202.jpg,,,,,,,,,, +角盘兰,Herminium monorchis,"李世英,汤彦承,徐连旺",1032,19820725,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082417.jpg,,,,,,,,,, +秀丽角盘兰,Herminium quinquelobum,青藏队,9908,19820903,云南省,2200,常绿落叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01780955.jpg,,,,,,,,,, +披针唇角盘兰,Herminium singulum,刘伦辉等,贡08-14,19790000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766460.jpg,,,,,,,,,, +,Herminium singulum,T. T. Yu,20231,1938/9/13,,,,,,https://image.cvh.ac.cn/files/l/HUH/AMES00104952.jpg,,,,,,,,,, +宽萼角盘兰,Herminium souliei,FLPH Tibet Expedition,12-2059,,西藏自治区,3000~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967621.jpg,,,,,,,,,, +宽萼角盘兰,Herminium souliei,HK kadoorie teaus,1118,20010715,云南省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825247.jpg,,,,,,,,,, +云南角盘兰,Herminium yunnanense,"Jin Xh,Wang LS Wang Q et al.",ST0599,20130719,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977176.jpg,,,,,,,,,, +云南角盘兰,Herminium yunnanense,M.K.Li,170,1939/9/23,云南,2200,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0270048.jpg,,,,,,,,,, +,Herminium yunnanense,"Forrest, George",907,5-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00188161.jpg,,,,,,,,,, +波棱瓜,Herpetospermum pedunculosum,FLPH Tibet Expedition,12-1914,,西藏自治区,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967756.jpg,,,,,,,,,, +波棱瓜,Herpetospermum pedunculosum,北京所横断山队,3448,19810822,云南省,2400~2800,高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01479748.jpg,,,,,,,,,, +幌伞枫,Heteropanax fragrans,王印政等,4412,19981022,云南省,470,山地山谷密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802273.jpg,,,,,,,,,, +幌伞枫,Heteropanax fragrans,徐闻调查队,753,19541111,广东省,,平坦 平原 阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01582096.jpg,,,,,,,,,, +幌伞枫,Heteropanax fragrans,吴大诚,77007,19771000,江西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01358644.jpg,,,,,,,,,, +黄茅,Heteropogon contortus,S.T.Chiu,5349,19990608,福建省,50,coastal forest exposed place,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088973.jpg,,,,,,,,,, +黄茅,Heteropogon contortus,Liu Yanchun,287,20090913,云南省,,on dry slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089288.jpg,,,,,,,,,, +黄茅,Heteropogon contortus,"陈伟烈,陈家瑞,郭柯等",5415,19840522,四川省,1200,金沙江边干旱河谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067975.jpg,,,,,,,,,, +,Heterosmilax septemnervia,"溥发鼎,曹亚玲",67,19880621,重庆市,900,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01340004.jpg,,,,,,,,,, +,Heterosmilax septemnervia,武陵山考察队,3471,19880821,贵州省,500,石灰岩 山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01340003.jpg,,,,,,,,,, +,Heterosmilax septemnervia,壶瓶山考察队,1114,19870708,湖南省,700~850,常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01321998.jpg,,,,,,,,,, +鹧鸪花,Heynea trijuga,中苏队,8023,19570420,云南省,1100,阳处斜坡疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100889.jpg,,,,,,,,,, +鹧鸪花,Heynea trijuga,Anonymous,2005/4/1,,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998709.jpg,,,,,,,,,, +鹧鸪花,Heynea trijuga,王功范,1-0610,20030723,贵州省,550,山坡密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01710131.jpg,,,,,,,,,, +墨脱木槿,Hibiscus fragrans,孙航,周浙昆,俞宏渊,1643,19921125,西藏自治区,700,in scattered forest,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0474244.jpg,,,,,,,,,, +野西瓜苗,Hibiscus trionum,陈全胜,CF-0010-287,20170827,内蒙古自治区,1074,河滩草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246951.jpg,,,,,,,,,, +野西瓜苗,Hibiscus trionum,周口店采集队,153,20080927,北京市,140,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112033.jpg,,,,,,,,,, +野西瓜苗,Hibiscus trionum,黄河队,8033,19560807,陕西省,1600,山坡旱田中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090364.jpg,,,,,,,,,, +,Himalaiella deltoidea,"周云, 张勇",XiangZ096,20111027,贵州,,次生林;林绿;沟谷侧,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1375842.jpg,,,,,,,,,, +,Himalaiella deltoidea,"郭永杰, 吴志坤, 吴兴, 王宇萍, 李志军",14CS9800,20141106,云南,,公路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375839.jpg,,,,,,,,,, +,Himalaiella deltoidea,刘超,LiuC077,20131201,四川,1300,常绿阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1459265.jpg,,,,,,,,,, +须弥茜树,Himalrandia lichiangensis,G.Forrest,5541,19100000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00809554.jpg,,,,,,,,,, +须弥茜树,Himalrandia lichiangensis,姜恕等,5978,19600610,四川省,2100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00737296.jpg,,,,,,,,,, +川滇女蒿,Hippolytia delavayi,FLPH Sichuan Expedition,152188,20150905,四川省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084441.jpg,,,,,,,,,, +川滇女蒿,Hippolytia delavayi,D.E. Boufford et al.,43318,20130831,云南省,3890,"Secondary Abies-Picea forest with scattered Larix,open dry meadows and wet boggy meadow on gentle slope above lake.Edge of forest near road.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01911358.jpg,,,,,,,,,, +束伞女蒿,Hippolytia desmantha,康藏考察队,10-1029,20100731,青海省,4072,岩石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234997.jpg,,,,,,,,,, +团伞女蒿,Hippolytia glomerata,"张永田,郞楷永",2442,19650902,西藏自治区,5400,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607111.jpg,,,,,,,,,, +棉毛女蒿,Hippolytia gossypina,"李渤生,李辉,多吉次旦",13062,19900815,西藏自治区,4800,高山 灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506867.jpg,,,,,,,,,, +垫状女蒿,Hippolytia kennedyi,PE西藏队,PE5404,20170830,西藏自治区,5067,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890092.jpg,,,,,,,,,, +垫状女蒿,Hippolytia kennedyi,徐国荣,23391,19800909,四川省,0~4800,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0595804.jpg,,,,,,,,,, +大花女蒿,Hippolytia megacephala,新疆采集队,1917,1978.8.4,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00040088.jpg,,,,,,,,,, +大花女蒿,Hippolytia megacephala,新疆采集队,1917,197884,,3300,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20020661.jpg,,,,,,,,,, +普兰女蒿,Hippolytia senecionis,生物研究所西藏考察队,4058,19740819,西藏自治区,3700,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607146.jpg,,,,,,,,,, +合头女蒿,Hippolytia syncalathiformis,FLPH Tibet Expedition,12-0436,20120911,西藏自治区,4800,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967530.jpg,,,,,,,,,, +灰叶女蒿,Hippolytia tomentosa,,藏71-012,19720600,西藏自治区,4700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607150.jpg,,,,,,,,,, +大叶女蒿,Hippolytia yunnanensis,"杨亲二,孔宏智",98-453,19980922,云南省,3350,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797242.jpg,,,,,,,,,, +大叶女蒿,Hippolytia yunnanensis,青藏队,12324,19830723,四川省,3900~4000,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190809.jpg,,,,,,,,,, +肋果沙棘,Hippophae neurocarpa,"唐宇丹,邢全,孙国锋,程明",YD083,20061002,西藏自治区,4059,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02113115.jpg,,,,,,,,,, +肋果沙棘,Hippophae neurocarpa,杨永昌,1590,19650803,青海省,,河谷阶地河漫滩,,无花无果,https://image.cvh.ac.cn/files/l/PE/01598924.jpg,,,,,,,,,, +肋果沙棘,Hippophae neurocarpa,赵清盛,407,19890729,四川省,3400,草原,,无花无果,https://image.cvh.ac.cn/files/l/PE/01380778.jpg,,,,,,,,,, +柳叶沙棘,Hippophae salicifolia,PE西藏队,PE6425,20170911,西藏自治区,2969,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330394.jpg,,,,,,,,,, +柳叶沙棘,Hippophae salicifolia,"卢洋, 刘帆等六人",LiJ799,20110829,西藏,,常绿阔叶林边缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1330923.jpg,,,,,,,,,, +,Hippophae tibetana,D.E.Boufford et al.,40003,20070819,四川省,3485~3520,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01924185.jpg,,,,,,,,,, +,Hippophae tibetana,西藏综考队,2603,19610612,西藏自治区,4750,孤山 中碛场 亚高山草甸土被破坏的土地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01767534.jpg,,,,,,,,,, +,Hippophae tibetana,Ho Ting-nung et al.,978,19930809,青海省,4150,"Ricer flood plane with mosaic of pebble deposites,silt deposites and older consolidated terraces with deeper soil",,无花有果,https://image.cvh.ac.cn/files/l/PE/01598898.jpg,,,,,,,,,, +杉叶藻,Hippuris vulgaris,黄河队,7226,19560707,内蒙古自治区,1350,草地水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082184.jpg,,,,,,,,,, +杉叶藻,Hippuris vulgaris,黄河队,2877,19550817,山西省,1680,水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082185.jpg,,,,,,,,,, +杉叶藻,Hippuris vulgaris,青藏队植被组,13667,19760904,西藏自治区,4240,湖湾沼泽,,无花无果,https://image.cvh.ac.cn/files/l/PE/02061611.jpg,,,,,,,,,, +,Hiptage acuminata,"Liu Ende,Fang Wei,Ma Wenzhang",2462,20100402,云南省,1517,"limestone area,roadside,in thickets",,有花无果,https://image.cvh.ac.cn/files/l/PE/01983402.jpg,,,,,,,,,, +尖叶风筝果,Hiptage acuminata,,55816,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0270582.jpg,,,,,,,,,, +油渣果,Hodgsonia heteroclita,蔡杰,亚吉东,李昌洪,17CS15025,20170330,云南,793,路边绿缘,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1489987.jpg,,,,,,,,,, +五月瓜藤,Holboellia angustifolia subsp. angustifolia,侯喜祥,66,1973/4/9,陕西省  ,1100,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0397114.jpg,,,,,,,,,, +五月瓜藤,Holboellia angustifolia subsp. angustifolia,谢朝俊,39572,1955/3/21,四川省,2600,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0175499.jpg,,,,,,,,,, +,Holcoglossum flavescens,HK kadoorie PT,4000,20020900,四川省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097743.jpg,,,,,,,,,, +,Holcoglossum flavescens,HK kadoorie Team,1041,20010704,云南省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097503.jpg,,,,,,,,,, +,Holcoglossum flavescens,傅书遐,21,,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00729363.jpg,,,,,,,,,, +管叶槽舌兰,Holcoglossum kimballianum,Jin Xiaohua,10175,20091011,云南省,1100,in limestone evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033538.jpg,,,,,,,,,, +管叶槽舌兰,Holcoglossum kimballianum,胡启和,趙强,周英,张绍云,YNS0746,20100128,云南,1840,公路边,攀援草本、附生,,https://image.cvh.ac.cn/files/l/KUN/1394039.jpg,,,,,,,,,, +叉唇无喙兰,Holopogon smithianus,K.T.Fu,3332,19390818,陕西省,,In bushes,,有花无果,https://image.cvh.ac.cn/files/l/PE/00200585.jpg,,,,,,,,,, +,Homalium ceylanicum,李庆华,695,20020416,云南省,,图书馆后面向阳干燥,,有花无果,https://image.cvh.ac.cn/files/l/PE/01599053.jpg,,,,,,,,,, +,Homalium ceylanicum,"程树志,李渤生",4679,19830425,西藏自治区,2100,常阔林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01280441.jpg,,,,,,,,,, +斯里兰卡天料木,Homalium ceylanicum,C.E.Ridsdale,204,19760620,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0230373.jpg,,,,,,,,,, +长梗同钟花,Homocodon pedicellatus,高贤明,G06015,20060709,四川省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/006396.jpg,,,,,,,,,, +,Homocodon pedicellatus,王乾、顾健,SCW0950,20190819,四川,2277,,阔叶林下,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0270090.jpg,,,,,,,,,, +水柳仔,Homonoia riparia,"税玉民,陈文红,盛家舒等",20659,20020320,云南省,200,on roadsides along the river,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239654.jpg,,,,,,,,,, +水柳仔,Homonoia riparia,黄建益等,2864,20060906,台湾省,210,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01923868.jpg,,,,,,,,,, +水柳仔,Homonoia riparia,中越考察队,1485,19650117,,60,河边成群,,无花无果,https://image.cvh.ac.cn/files/l/PE/01700022.jpg,,,,,,,,,, +野生六棱大麦,Hordeum agriocrithon,牧草组,208,19580629,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01608831.jpg,,,,,,,,,, +野生六棱大麦,Hordeum agriocrithon,F.G.Stebler etc.,198,18890822,,500,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/382769.jpg,,,,,,,,,, +野生六棱大麦,Hordeum agriocrithon,F.H.Utech,456,19800716,Washington,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/385353.jpg,,,,,,,,,, +布顿大麦草,Hordeum bogdanii,秦仁昌,2712,19560906,新疆维吾尔自治区,700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307952.jpg,,,,,,,,,, +布顿大麦草,Hordeum bogdanii,牧草组,164,19560801,北京市,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01829341.jpg,,,,,,,,,, +,Hordeum brevisubulatum subsp. turkestanicum,"李渤生,郑度,张百平",10440,19870708,新疆维吾尔自治区,4000~4100,草地所见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01295431.jpg,,,,,,,,,, +短芒大麦草,Hordeum brevisubulatum subsp. turkestanicum,新疆采集队,1222,1978/7/10,新疆,4350,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0334928.jpg,,,,,,,,,, +野生瓶形大麦,Hordeum lagunculiforme,郭本兆 王为义等,63,19780711,青海省,2261,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/73391.jpg,,,,,,,,,, +野生瓶形大麦,Hordeum lagunculiforme,郭本兆 王为义,20836,19770705,四川省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0219724.jpg,,,,,,,,,, +野生瓶形大麦,Hordeum lagunculiforme,,,,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/019107417.jpg,,,,,,,,,, +,Hordeum roshevitzii,青甘调查队,1406,19590812,青海省,3200,莫河南冲积扇,,有花有果,https://image.cvh.ac.cn/files/l/PE/00537711.jpg,,,,,,,,,, +,Hordeum roshevitzii,T.P.Wang,5219,19360723,甘肃省,2800,road side in valley,,有花有果,https://image.cvh.ac.cn/files/l/PE/00537702.jpg,,,,,,,,,, +,Hordeum roshevitzii,黄河调查队,5619,19560707,宁夏回族自治区,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00537694.jpg,,,,,,,,,, +尖稃野大麦,Hordeum spontaneum var. ischnatherum,郭本兆,,19770700,四川省,450,,,无花有果,https://image.cvh.ac.cn/files/l/IFP/15857999r0001.jpg,,,,,,,,,, +西藏大豆蔻,Hornstedtia tibetica,,2546,19740914,西藏自治区,650,热州山地季雨林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790340.jpg,,,,,,,,,, +西藏大豆蔻,Hornstedtia tibetica,青藏队,74-1913,19740811,西藏,810,山坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219292.jpg,,,,,,,,,, +蕺菜,Houttuynia cordata,川黔队,225,19560508,重庆市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083500.jpg,,,,,,,,,, +蕺菜,Houttuynia cordata,川黔队,1173,19560829,贵州省,1510,山坡阳处草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075566.jpg,,,,,,,,,, +蕺菜,Houttuynia cordata,西藏中草药普查队,3536,19720623,西藏自治区,2800,山坡水沟边林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02060228.jpg,,,,,,,,,, +,Hovenia acerba var. acerba,青藏队,749,19730717,西藏自治区,1600,山坡,沟谷常绿林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0417705.jpg,,,,,,,,,, +枳椇,Hovenia acerba var. acerba,陶国达,13685,19750811,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/026482.jpg,,,,,,,,,, +枳椇,Hovenia acerba var. acerba,吴秀武,5.23E+14,20150916,贵州省,795.2,中生、阳性、中温、野生植物、沙土、针阔叶混交林,乔木,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0042522.jpg,,,,,,,,,, +黄花球兰,Hoya fusca,"S.K.Wu,Y.M.Shui,Y.P.Yang etc.",285,19951028,云南省,1900~2500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233583.jpg,,,,,,,,,, +黄花球兰,Hoya fusca,北京队,891849,19890423,广西壮族自治区,600,山谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/02009388.jpg,,,,,,,,,, +黄花球兰,Hoya fusca,,582,19730725,西藏自治区,2200,常绿林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01647841.jpg,,,,,,,,,, +,Hoya linearis,刘慎谔,18897,19410415,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01024745.jpg,,,,,,,,,, +线叶球兰,Hoya linearis,刘慎谔,18897,19410415,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0520489.jpg,,,,,,,,,, +香花球兰,Hoya lyi,植物地理调查队,439,19780708,重庆市,850,路旁 山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01273046.jpg,,,,,,,,,, +香花球兰,Hoya lyi,K.M.Feng,5816,19400725,云南省,2100~2200,沟边 杂木中 岩壁上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01132918.jpg,,,,,,,,,, +香花球兰,Hoya lyi,安顺队,538,19590805,贵州省,1400,山顶灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01024763.jpg,,,,,,,,,, +琴叶球兰,Hoya pandurata,王启无,66823,19361000,云南省,2300,Ravine,,有花有果,https://image.cvh.ac.cn/files/l/PE/01024804.jpg,,,,,,,,,, +琴叶球兰,Hoya pandurata,,,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0520532.jpg,,,,,,,,,, +多脉球兰,Hoya polyneura,青藏队,9304,19820813,云南省,1400,山坡 常绿阔叶林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01132816.jpg,,,,,,,,,, +怒江球兰,Hoya salweenica,T.T.Yu,23006,19840000,云南省,,河边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132924.jpg,,,,,,,,,, +怒江球兰,Hoya salweenica,白洪兵、李红,533324180912868LY,20180912,云南,1960,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009960.jpg,,,,,,,,,, +,Hoya salweenica,"Yü, Tse-tsun",23006,20-Sep-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00275181.jpg,,,,,,,,,, +,Hoya siamica,K.M.Feng,7568,19400907,云南省,2500~2700,沟边 杂林中树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01132817.jpg,,,,,,,,,, +菖蒲球兰,Hoya siamica,农东新、彭玉德、李金花,451026150525029LY,20150525,广西壮族自治区,,阔叶林、林下、石灰土,,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0107159.jpg,,,,,,,,,, +山球兰,Hoya silvatica,"李渤生,程树志",4540,19830507,西藏自治区,900,Ficus Ca 林下树上多见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506023.jpg,,,,,,,,,, +山球兰,Hoya silvatica,北京植物所横断山队,709,19810621,云南省,2300,常绿阔叶林 爬树上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132926.jpg,,,,,,,,,, +,Hoya silvatica,C. W. Wang,66906,Oct-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00076425.jpg,,,,,,,,,, +啤酒花,Humulus lupulus,"张新时,郭柯",天山-506,19860811,新疆维吾尔自治区,1300,野果林附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097549.jpg,,,,,,,,,, +啤酒花,Humulus lupulus,W.J.Cody et al.,15118,19650923,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02012185.jpg,,,,,,,,,, +西藏山茉莉,Huodendron tibeticum,,东兴7(2),19731000,广西壮族自治区,600,砂?岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/02008937.jpg,,,,,,,,,, +西藏山茉莉,Huodendron tibeticum,罗仲春,463,19800712,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591537.jpg,,,,,,,,,, +西藏山茉莉,Huodendron tibeticum,青藏队区系组,7949,19820705,云南省,1600~1700,山坡 常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132137.jpg,,,,,,,,,, +绒毛山茉莉,Huodendron tomentosum,K.M.Feng,12999,19471107,云南省,1300~1600,in mixed forests,,有花有果,https://image.cvh.ac.cn/files/l/PE/00857022.jpg,,,,,,,,,, +广西山茉莉,Huodendron tomentosum,大瑶山综考队,10607,,广西壮族自治区,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0453514.jpg,,,,,,,,,, +冠盖绣球,Hydrangea anomala,"董洪进,王泽欢,尹志坚",WM-0343,20160504,云南省,1800,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090806.jpg,,,,,,,,,, +冠盖绣球,Hydrangea anomala,李国献,296,19570626,陕西省,1680,山沟溪旁 阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02087010.jpg,,,,,,,,,, +冠盖绣球,Hydrangea anomala,"贾潇洒,于杰",3932,20100801,四川省,1890,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066314.jpg,,,,,,,,,, +马桑绣球,Hydrangea aspera,,118,19890729,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898236.jpg,,,,,,,,,, +马桑绣球,Hydrangea aspera,"周浙昆,费勇,税玉民等",197,19991019,云南省,2450,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01859973.jpg,,,,,,,,,, +马桑绣球,Hydrangea aspera,Chin-Sung Chang et al.,SI0314,20040911,四川省,1797,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01800784.jpg,,,,,,,,,, +东陵绣球,Hydrangea bretschneideri,"张宪春,毛星星等",6993,20140710,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044234.jpg,,,,,,,,,, +东陵绣球,Hydrangea bretschneideri,孔冬梅,k0417,20140724,山西省,1607,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040927.jpg,,,,,,,,,, +西南绣球,Hydrangea davidii,北京所横断山队,1138,19810626,云南省,3000,铁杉林内常见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080754.jpg,,,,,,,,,, +西南绣球,Hydrangea davidii,北京队,897428,19890926,广西壮族自治区,,山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/01995247.jpg,,,,,,,,,, +西南绣球,Hydrangea davidii,韦若勋,22,20120730,贵州省,1382,"Valley,road side",,有花有果,https://image.cvh.ac.cn/files/l/PE/01900827.jpg,,,,,,,,,, +微绒绣球,Hydrangea heteromalla,PE西藏队,PE5988,20170906,西藏自治区,2935,山谷林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02333178.jpg,,,,,,,,,, +微绒绣球,Hydrangea heteromalla,Chin-Sung Chang et al.,SI0303,20040911,四川省,1797,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01800762.jpg,,,,,,,,,, +微绒绣球,Hydrangea heteromalla,K.Clausen et al.,79-131,19791016,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01666267.jpg,,,,,,,,,, +白背绣球,Hydrangea hypoglauca,五大队,L183,19570613,陕西省,1600,针阔混交林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02087011.jpg,,,,,,,,,, +白背绣球,Hydrangea hypoglauca,壶瓶山考察队,765,19870626,湖南省,1700~1900,常绿?叶阔叶混交林灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982447.jpg,,,,,,,,,, +白背绣球,Hydrangea hypoglauca,"溥发鼎,曹亚玲",525,19880702,重庆市,1450,杂木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01374439.jpg,,,,,,,,,, +绣毛绣球,Hydrangea longipes var. fulvescens,59176部队,2161,19760609,湖北省,1400,山沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00863909.jpg,,,,,,,,,, +锈毛绣球,Hydrangea longipes var. fulvescens,苏贵兴,178,19581002,陕西省,1710,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0300540.jpg,,,,,,,,,, +锈毛绣球,Hydrangea longipes var. fulvescens,S.L.Sun,2444,19400618,四川省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0300530.jpg,,,,,,,,,, +,Hydrangea longipes var. longipes,王乾、顾健,SCW1750,20200615,四川,2149.1,,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274299.jpg,,,,,,,,,, +,Hydrangea longipes var. rosthornii,刘兰芳,袁淑芬,5553,19620712,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00336236.jpg,,,,,,,,,, +,Hydrangea longipes var. rosthornii,黄汉东,1561,19950928,湖北省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0143779.jpg,,,,,,,,,, +大枝绣球,Hydrangea longipes var. rosthornii,李杰,522229160531150LY,20160531,贵州省,972,野生植物、酸性土、中生、中温、阳性,灌木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0049448.jpg,,,,,,,,,, +大果绣球,Hydrangea macrocarpa,刘慎谔,21157,19461005,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0300555.jpg,,,,,,,,,, +大果绣球,Hydrangea macrocarpa,张英伯,542,19401030,云南省,3500,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0300557.jpg,,,,,,,,,, +粗枝绣球,Hydrangea robusta,PE-古蔺考察队,630,20100905,四川省,1100~1580,"山谷,林中",,有花有果,https://image.cvh.ac.cn/files/l/PE/01864861.jpg,,,,,,,,,, +粗枝绣球,Hydrangea robusta,陈伟烈,14233,19800812,西藏自治区,1600,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01494754.jpg,,,,,,,,,, +,Hydrangea strigosa var. angustifolia,Albert N.Steward C.Y.Chiao,4,19310717,贵州省,1100,Brushy slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/01975996.jpg,,,,,,,,,, +,Hydrangea strigosa var. angustifolia,王映明,6745,19880920,湖北省,1250,山坡 林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01374510.jpg,,,,,,,,,, +,Hydrangea strigosa var. angustifolia,"溥发鼎,曹亚玲",745,19880709,重庆市,1000~1200,耕地边 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01374508.jpg,,,,,,,,,, +蜡莲绣球(原变种),Hydrangea strigosa var. strigosa,李启瑞,52263120190822717LY,20190822,贵州,861,灌丛 、中生、阳性、中温、钙质土、野生植物,灌木,有花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0100510.jpg,,,,,,,,,, +蜡莲绣球,Hydrangea strigosa var. strigosa,蓝开敏,980060,19980729,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/GFS/GFS0003104.jpg,,,,,,,,,, +蜡莲绣球,Hydrangea strigosa var. strigosa,Ching & Shun,85,19310606,四川省,720,among bushes,shrub,有花有果,https://image.cvh.ac.cn/files/l/CQNM/0005328.jpg,,,,,,,,,, +松潘绣球,Hydrangea sungpanensis,蓝开敏,16,19920830,贵州省,1260,"阳处,山坡,灌木丛中",,有花有果,https://image.cvh.ac.cn/files/l/PE/00864001.jpg,,,,,,,,,, +松潘绣球,Hydrangea sungpanensis,赵清盛,1611,19890719,四川省,1700,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00864000.jpg,,,,,,,,,, +松潘绣球,Hydrangea sungpanensis,T.T.Yu,17140,19380803,云南省,3500,Among thickets on o en slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00815481.jpg,,,,,,,,,, +挂苦绣球,Hydrangea xanthoneura,"董洪进,赵飞",WM-0489,20160518,云南省,1700~1900,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090431.jpg,,,,,,,,,, +挂苦绣球,Hydrangea xanthoneura,朱相云等,2244,20140708,四川省,1219,路边 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918906.jpg,,,,,,,,,, +挂苦绣球,Hydrangea xanthoneura,巴山采集队,2432,20080728,重庆市,1330,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851569.jpg,,,,,,,,,, +黑藻,Hydrilla verticillata,姚作五,y0199,19850530,湖北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109894.jpg,,,,,,,,,, +黑藻,Hydrilla verticillata,C.W.Wang,71186,19350700,云南省,2300,water,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109870.jpg,,,,,,,,,, +黑藻,Hydrilla verticillata,农田杂草调查组,154,19700611,湖南省,,稻田,,无花无果,https://image.cvh.ac.cn/files/l/PE/02098129.jpg,,,,,,,,,, +水鳖,Hydrocharis dubia,"王徽勤,潘明清",水81,19791100,湖北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109893.jpg,,,,,,,,,, +水鳖,Hydrocharis dubia,T.Buch,864,19880728,,,pond,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109876.jpg,,,,,,,,,, +水鳖,Hydrocharis dubia,"陈耀东,郎青,马欣堂",1306,19850812,江西省,,木排三间,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705657.jpg,,,,,,,,,, +,Hydrocotyle himalaica,张红,966,20050614,广西壮族自治区,750,湿草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575748.jpg,,,,,,,,,, +,Hydrocotyle himalaica,,432,19730712,西藏自治区,2200,松林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00723580.jpg,,,,,,,,,, +,Hydrocotyle himalaica,王启无,80909,19361100,云南省,900,Mixed forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00723561.jpg,,,,,,,,,, +,Hydrocotyle hookeri,巴山采集队,2522,20080726,重庆市,1870,山谷杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028637.jpg,,,,,,,,,, +阿萨姆天胡荽,Hydrocotyle hookeri,T.N.Liou,6332,19321203,,578,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01631553.jpg,,,,,,,,,, +阿萨姆天胡荽,Hydrocotyle hookeri,T.T.Yu,17271,19380807,云南省,2300,Near by stream,,无花有果,https://image.cvh.ac.cn/files/l/PE/00723583.jpg,,,,,,,,,, +,Hydrocotyle javanica,岳俊三等,3490,19630825,江西省,600,山坡林下草丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01860145.jpg,,,,,,,,,, +,Hydrocotyle javanica,中苏调查团,1782,19550620,云南省,,山谷溪旁路旁疏荫潮湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860155.jpg,,,,,,,,,, +,Hydrocotyle javanica,川黔队,657,19560616,重庆市,600,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810106.jpg,,,,,,,,,, +红马蹄草,Hydrocotyle nepalensis,林秦文,2013-118,20130530,云南省,1750~2100,峡谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/02040647.jpg,,,,,,,,,, +红马蹄草,Hydrocotyle nepalensis,刘正宇,183056,20080725,四川省,860,溪边路旁草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02028622.jpg,,,,,,,,,, +红马蹄草,Hydrocotyle nepalensis,三峡考察队,2613,20080726,重庆市,590~726,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02028608.jpg,,,,,,,,,, +天胡荽,Hydrocotyle sibthorpioides,北京队,895429,19890531,广西壮族自治区,400,溪边石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01991811.jpg,,,,,,,,,, +天胡荽,Hydrocotyle sibthorpioides,T.Miyazaki,1011048,20101026,,140~160,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880235.jpg,,,,,,,,,, +天胡荽,Hydrocotyle sibthorpioides,谭策铭,326,20000531,江西省,40,村旁空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860214.jpg,,,,,,,,,, +,Hydrocotyle wilfordii,岳俊三等,3054,19630806,江西省,,山坡竹林缘草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01860146.jpg,,,,,,,,,, +,Hydrocotyle wilfordii,"郭永杰,吴志坤,吴兴,王宇萍,李志军",14CS9898,20141110,云南省,1756,农田,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1371981.jpg,,,,,,,,,, +肾叶天胡荽,Hydrocotyle wilfordii,杨光明,SCSB-W-1117,20191105,云南,,无,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1336574.jpg,,,,,,,,,, +鄂西天胡荽,Hydrocotyle wilsonii,岳俊三等,4123,19630921,江西省,800,阴湿草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860152.jpg,,,,,,,,,, +鄂西天胡荽,Hydrocotyle wilsonii,鄂神农架植考队,31472,19760810,湖北省,,山坡 草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01020695.jpg,,,,,,,,,, +鄂西天胡荽,Hydrocotyle wilsonii,青藏队,5142,19810822,四川省,4200,高山湖泊岸边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0462785.jpg,,,,,,,,,, +,Hylodesmum laxum,北京队,1136,19880605,湖南省,350~450,常绿阔叶林带内山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01880772.jpg,,,,,,,,,, +,Hylodesmum laxum,巴山采集队,2794,20080728,重庆市,1446,林下灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850820.jpg,,,,,,,,,, +,Hylodesmum laxum,邓良,7088,19580807,广东省,300,山地山谷疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01393538.jpg,,,,,,,,,, +,Hylodesmum longipes,H.T.Tsai,54173,19330907,云南省,2800,in ravine,,有花无果,https://image.cvh.ac.cn/files/l/PE/01499567.jpg,,,,,,,,,, +云南长柄山蚂蝗,Hylodesmum longipes,麻栗坡队,5326240592,20151027,云南,1076,亚热带常绿阔叶林,喜阳,无花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027410.jpg,,,,,,,,,, +,Hylodesmum podocarpum subsp. fallax,陈家瑞,88001,19880800,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880768.jpg,,,,,,,,,, +,Hylodesmum podocarpum subsp. fallax,庐山植物园科考队,WNB200400249,20041027,江西省,732,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880766.jpg,,,,,,,,,, +,Hylodesmum podocarpum subsp. fallax,林亲众,2004014,20040803,湖南省,800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880767.jpg,,,,,,,,,, +长柄山蚂蝗,Hylodesmum podocarpum subsp. podocarpum,灌阳县普查队,450327150808014LY,20150808,广西壮族自治区,410,"阔叶林、林缘、路旁,石灰土",灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0173225.jpg,,,,,,,,,, +长柄山蚂蝗,Hylodesmum podocarpum subsp. podocarpum,"刘金,宋丽雅,李真,邵剑文(Liu Jin,Song LiYa,Li Zheng,Shao JanW",ANUB00319,20151001,安徽省,248.672,路边(Roadside),,有花无果,https://image.cvh.ac.cn/files/l/ANUB/ANUB001968.jpg,,,,,,,,,, +,Hylodesmum williamsii,T.T. Yu,15463,19370819,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880785.jpg,,,,,,,,,, +,Hylodesmum williamsii,青藏队,13327,19830823,四川省,2500,山沟杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880778.jpg,,,,,,,,,, +,Hylodesmum williamsii,,6092,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01444696.jpg,,,,,,,,,, +狭穗八宝,Hylotelephium angustum,"Ying Taun-shen,Guo Qin-feng. Li Yun-feng,Cui He.",528,19870816,陕西省,,borders or woods (on stone),,有花无果,https://image.cvh.ac.cn/files/l/PE/02100687.jpg,,,,,,,,,, +狭穗八宝,Hylotelephium angustum,孙学刚等,6535,20060810,甘肃省,2790,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100645.jpg,,,,,,,,,, +狭穗八宝,Hylotelephium angustum,宋滋圃,39360,19540000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268637.jpg,,,,,,,,,, +八宝,Hylotelephium erythrostictum,周口店考察队,263,20091020,北京市,159,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112257.jpg,,,,,,,,,, +八宝,Hylotelephium erythrostictum,李洪钧,9079,19580900,,1400,阳处路边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100594.jpg,,,,,,,,,, +八宝,Hylotelephium erythrostictum,鄂植考队,25255,19770825,湖北省,1500,山坡灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100584.jpg,,,,,,,,,, +圆叶八宝,Hylotelephium ewersii,孙国峰,X140(2005-2564),20050829,新疆维吾尔自治区,1567,山沟、溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100522.jpg,,,,,,,,,, +圆叶八宝,Hylotelephium ewersii,T.S.Elias et al.,4931,19780903,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01816831.jpg,,,,,,,,,, +膜稃草,Hymenachne amplexicaulis,苏宏汉,68639,1935-10-,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0114702.jpg,,,,,,,,,, +膜稃草,Hymenachne amplexicaulis,王启无,77954,1935,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0114704.jpg,,,,,,,,,, +单穗膜稃草,Hymenachne amplexicaulis,C.W.Wang,80355,1936/11/,,1080,,Herbs,无花无果,https://image.cvh.ac.cn/files/l/WUK/0036058.jpg,,,,,,,,,, +弊草,Hymenachne assamica,南植地,62,1957-11-,广东省,50M,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0114705.jpg,,,,,,,,,, +弊草,Hymenachne assamica,梁畴芬,30915,1953-11-,广西壮族自治区,350M,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0114717.jpg,,,,,,,,,, +弊草,Hymenachne assamica,王名金,3949,1955-11-,安徽省,80M,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0114720.jpg,,,,,,,,,, +,Hymenidium amabile,"倪志诚,汪永泽,次多等",1720,19800917,西藏自治区,4600,高山乱石堆中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01933628.jpg,,,,,,,,,, +,Hymenidium apiolens,"倪志诚,次多.次旦,廖世荣",2070,19810907,西藏自治区,4100,高山灌丛林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00758038.jpg,,,,,,,,,, +,Hymenidium chloroleucum,"M.G.Pimenov,E.V.Kljuykov,hu ZhiHao,Liu Qixing",485,19980929,云南省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758041.jpg,,,,,,,,,, +,Hymenidium decurrens,"M.G.Pimenov,E.V.Kljuykov,hu ZhiHao,Liu Qixing",449,19980927,云南省,3450,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00758043.jpg,,,,,,,,,, +,Hymenidium delavayi,"M.G.Pimenov,E.V.Kljuykov,hu ZhiHao,Liu Qixing",508,19981010,云南省,3200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00758045.jpg,,,,,,,,,, +,Hymenidium delavayi,姜恕等,9565,19610722,四川省,3700,密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758044.jpg,,,,,,,,,, +,Hymenidium foetens,杨竞生,88-316,19880829,云南省,4300,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00758046.jpg,,,,,,,,,, +,Hymenidium hookeri,"倪志诚,汪永泽,次多等",1179,19800816,西藏自治区,4200,山坡湿润草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01933629.jpg,,,,,,,,,, +,Hymenidium hookeri,D.E.Boufford et al.,35774,20060805,四川省,4200~4250,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01925156.jpg,,,,,,,,,, +,Hymenidium pulszkyi,"郭本兆,王为义",11521,19750719,青海省,4500,裸地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01941146.jpg,,,,,,,,,, +,Hymenidium wilsonii,"汤彦承,许介眉,潘开玉",169,19750911,四川省,3400,灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01940163.jpg,,,,,,,,,, +,Hymenidium wilsonii,,1945,19640923,甘肃省,3700~3900,北坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758053.jpg,,,,,,,,,, +,Hymenidium wrightianum,D.E.Boufford et al.,39548,20070812,四川省,3625,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923347.jpg,,,,,,,,,, +土连翘,Hymenodictyon flaccidum,徐永椿,437,19530515,云南省,350,顶岗,,有花有果,https://image.cvh.ac.cn/files/l/PE/00737303.jpg,,,,,,,,,, +土连翘,Hymenodictyon flaccidum,李中提,602987,19590531,广西壮族自治区,,山地 灌丛中 石上旁 灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00737300.jpg,,,,,,,,,, +毛土边翘,Hymenodictyon orixense,K.M.Feng,14290,19511215,云南省,600,杂林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00737307.jpg,,,,,,,,,, +毛土连翘,Hymenodictyon orixense,徐永椿,518,19530524,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0442848.jpg,,,,,,,,,, +天仙子,Hyoscyamus niger,"川西队,关克俭,王文采等",关王75,19630714,四川省,2550,河谷山坡路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092939.jpg,,,,,,,,,, +天仙子,Hyoscyamus niger,黄河队,5201,19560708,甘肃省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076112.jpg,,,,,,,,,, +天仙子,Hyoscyamus niger,"陈又生,袁慊,徐连升等",141206,20140803,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064832.jpg,,,,,,,,,, +角茴香,Hypecoum erectum,Anonymous,,,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063073.jpg,,,,,,,,,, +角茴香,Hypecoum erectum,朱格麟,2525,19600804,甘肃省,,高山坡下草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063072.jpg,,,,,,,,,, +角茴香,Hypecoum erectum,"曹子余,王忠涛,顾大宾",42,19860427,北京市,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055960.jpg,,,,,,,,,, +细果角茴香,Hypecoum leptocarpum,PE西藏考察队,7280,20180615,西藏自治区,4458,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331707.jpg,,,,,,,,,, +细果角茴香,Hypecoum leptocarpum,青藏队植被组,8141,19760601,四川省,2500,兵站?园,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060302.jpg,,,,,,,,,, +细果角茴香,Hypecoum leptocarpum,刘尚武,190,19650712,青海省,4800,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060219.jpg,,,,,,,,,, +尖萼金丝桃,Hypericum acmosepalum,武陵山考察队,2060,19880707,贵州省,,变质砂岩 砂质岩 松杉林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01356127.jpg,,,,,,,,,, +尖萼金丝桃,Hypericum acmosepalum,阙再旦,1220,19530529,云南省,1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01228340.jpg,,,,,,,,,, +碟花金丝桃,Hypericum addingtonii,禹平华,1073,19571001,云南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0231011.jpg,,,,,,,,,, +,Hypericum augustinii,H.T.Tsai,51444,19321223,云南省,1500,in thicket,,无花有果,https://image.cvh.ac.cn/files/l/PE/01228372.jpg,,,,,,,,,, +无柄金丝桃,Hypericum augustinii,"税玉民, 陈文红等",72135,20070826,云南,,石灰岩山坡,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1304563.jpg,,,,,,,,,, +,Hypericum augustinii,姚淦等,3929,19901006,西藏自治区,2100,常绿阔叶林或路边,灌木,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00001953.jpg,,,,,,,,,, +美丽金丝桃,Hypericum bellum,PE西藏队,PE6039,20170906,西藏自治区,2935,山谷林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330221.jpg,,,,,,,,,, +美丽金丝桃,Hypericum bellum,PE-古蔺考察队,539,20100905,四川省,1100~1580,山谷,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01864920.jpg,,,,,,,,,, +多蕊金丝桃,Hypericum choisyanum,贵州农学院采集队,,19640000,贵州省,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0024894.jpg,,,,,,,,,, +多蕊金丝桃,Hypericum choisyanum,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201507,20200805,西藏,2571,路边林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508562.jpg,,,,,,,,,, +,Hypericum curvisepalum,谢朝俊,40622,19550000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01263298.jpg,,,,,,,,,, +弯萼金丝桃,Hypericum curvisepalum,张永田、张志松,2328,19600511,贵州省,1000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0231397.jpg,,,,,,,,,, +椭圆叶金丝桃,Hypericum elliptifolium,T.T.Yu,20868,19381129,云南省 ,1800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0280695.jpg,,,,,,,,,, +椭圆叶金丝桃,Hypericum elliptifolium,独龙江考察队,686,19901123,云南省,1400,箐沟沼泽地,小灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0119246.jpg,,,,,,,,,, +椭圆叶金丝桃,Hypericum elliptifolium,和旭、白洪兵,533324180513193LY,20180513,云南,2033,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009243.jpg,,,,,,,,,, +挺茎遍地金,Hypericum elodeoides,"钟补勤,匡可任",220,19430503,云南省,1250,岩坡荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01599351.jpg,,,,,,,,,, +挺茎遍地金,Hypericum elodeoides,陇西山考察队,1369,19910615,福建省,770~820,山坡沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01548222.jpg,,,,,,,,,, +挺茎遍地金,Hypericum elodeoides,H. Ohba et al.,8330433,19830715,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911053.jpg,,,,,,,,,, +,Hypericum forrestii,汤宗孝,40,19820601,四川省,2440,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01611764.jpg,,,,,,,,,, +,Hypericum forrestii,王启无,64341,19350700,云南省,2300,border of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01229230.jpg,,,,,,,,,, +,Hypericum gramineum,G.Forrest,11809,19130000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01229303.jpg,,,,,,,,,, +,Hypericum gramineum,,10638,19580630,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01229298.jpg,,,,,,,,,, +岷江金丝桃,Hypericum henryi subsp. uraloides,玉溪考察队,2329,19900429,云南省,2280,常阔林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0119539.jpg,,,,,,,,,, +岷江金丝桃,Hypericum henryi subsp. uraloides,滇黔桂区系队,50818,19911024,贵州省,1300~1600,土山灌丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0119579.jpg,,,,,,,,,, +,Hypericum himalaicum,J.I.Jeon et al.,SI1508,20100812,四川省,2784,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932328.jpg,,,,,,,,,, +,Hypericum himalaicum,罗建等,LuoJian-XZ-0933,20091006,西藏自治区,3050,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01923882.jpg,,,,,,,,,, +,Hypericum himalaicum,王启无,64481,19350700,云南省,3000,bamboo thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01229322.jpg,,,,,,,,,, +,Hypericum japonicum,"朱大海,王永,尚涛",2021,20031001,四川省,1000,山坡下部沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115011.jpg,,,,,,,,,, +,Hypericum japonicum,川黔队,443,19560605,重庆市,750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083493.jpg,,,,,,,,,, +,Hypericum japonicum,"张志耘,谢磊,张强",2015-195,20150506,广西壮族自治区,280,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064713.jpg,,,,,,,,,, +,Hypericum kingdonii,青藏队,628,19730708,西藏自治区,2200,山坡路边岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01229898.jpg,,,,,,,,,, +察隅遍地金,Hypericum kingdonii,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,960,20121018,西藏,,林缘,草本,无花无果,https://image.cvh.ac.cn/files/l/BJM/0230223.jpg,,,,,,,,,, +,Hypericum lancasteri,标本室,1354,19560614,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01229908.jpg,,,,,,,,,, +展萼金丝桃,Hypericum lancasteri,罗成瑜,ALSZY164,20091106,云南省,0~2319,次生林下、荒地边,直立草本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0765827.jpg,,,,,,,,,, +展萼金丝桃,Hypericum lancasteri,Tchen-Ngo Liou,23028,19461125,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0232270.jpg,,,,,,,,,, +康定金丝桃,Hypericum maclarenii,蒋兴麐、熊济华,37710,19530912,四川省,2900,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0232314.jpg,,,,,,,,,, +,Hypericum maclarenii,"McLaren, H.D.",AD151,1938,,,,,,https://image.cvh.ac.cn/files/l/E/E00208134.jpg,,,,,,,,,, +康定金丝桃,Hypericum maclarenii,王俊,罗川,LuoP293,20160824,四川,3520,亚热带落叶阔叶林坡地,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1438183.jpg,,,,,,,,,, +,Hypericum monanthemum subsp. monanthemum,D.E.Boufford et al.,32633,20050709,四川省,3440,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579905.jpg,,,,,,,,,, +长瓣金丝桃,Hypericum monanthemum subsp. monanthemum,林芹,792032,19790801,云南省,3350,路边,灌丛及疏林下,亚灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0120142.jpg,,,,,,,,,, +单花遍地金,Hypericum monanthemum subsp. monanthemum,王辰,,20110628,西藏,,,,,https://image.cvh.ac.cn/files/l/BNU/0011048.jpg,,,,,,,,,, +,Hypericum patulum,PE西藏队,PE6188,20170910,西藏自治区,2488~2994,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330225.jpg,,,,,,,,,, +,Hypericum patulum,M.Cavalerie,3317,19080811,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02080002.jpg,,,,,,,,,, +,Hypericum patulum,巴山采集队,5848,20120701,四川省,1354~1500,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059695.jpg,,,,,,,,,, +,Hypericum petiolulatum subsp. petiolulatum,青藏队,2834,19741005,西藏自治区,2900,山坡灌丛林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01262663.jpg,,,,,,,,,, +短柄小连翘,Hypericum petiolulatum subsp. petiolulatum,武素功等,3750,19961003,云南省,2700,Under dense forest,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0120568.jpg,,,,,,,,,, +,Hypericum petiolulatum subsp. yunnanense,,57982B,19300921,云南省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01262659.jpg,,,,,,,,,, +,Hypericum petiolulatum subsp. yunnanense,"傅国勋,张志松",1279,19570827,湖北省,1850,密林中苗圃边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01262653.jpg,,,,,,,,,, +,Hypericum petiolulatum subsp. yunnanense,T.P.Wang,8704,19380814,四川省,3200,on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01262649.jpg,,,,,,,,,, +,Hypericum przewalskii,C.S.Chang et al.,SI1014,20100702,四川省,3048,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924408.jpg,,,,,,,,,, +突脉金丝桃,Hypericum przewalskii,孙学刚等,2391,20010721,甘肃省,2050,沟谷灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01808887.jpg,,,,,,,,,, +突脉金丝桃,Hypericum przewalskii,傅坤俊,17310,19770612,陕西省,2400,山梁灌丛下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01611243.jpg,,,,,,,,,, +,Hypericum pseudohenryi,王启无,62805,19350400,云南省,2000,hill side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01262785.jpg,,,,,,,,,, +,Hypericum pseudohenryi,"关克俭,王文采等",1810,19630822,四川省,2980,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01262770.jpg,,,,,,,,,, +,Hypericum reptans,"吴征镒,费德罗夫,林契夫斯基等",1038,19550514,云南省,1700,路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01262827.jpg,,,,,,,,,, +匍枝金丝桃,Hypericum reptans,孙航,周浙昆等,4847,19930317,西藏自治区,2150,beside forest,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0120823.jpg,,,,,,,,,, +,Hypericum uralum,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",740,20021107,云南省,2430,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111809.jpg,,,,,,,,,, +,Hypericum uralum,李渤生等,13306,19900831,西藏自治区,,长叶松沟谷湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01805004.jpg,,,,,,,,,, +,Hypericum uralum,"H.Ohashi,H.Kanai,H.Ohba & Y.Tateishi",770234,19770729,,1600~2100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01348785.jpg,,,,,,,,,, +,Hypericum wightianum,PE西藏队,PE5833,20170903,西藏自治区,3401,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330228.jpg,,,,,,,,,, +,Hypericum wightianum,"H.Li,S.X.Yang,R.Li etc.",498,20020824,云南省,2550,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090305.jpg,,,,,,,,,, +,Hypericum wightianum,覃海宁等,640,19980415,广西壮族自治区,1000,山地,山坡,疏林,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990886.jpg,,,,,,,,,, +三花枪刀药,Hypoestes triflora,PE西藏队,PE6233,20170910,西藏自治区,2488~2994,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02330866.jpg,,,,,,,,,, +三花枪刀药,Hypoestes triflora,S. K. Wu et al.,341,19951029,云南省,1300~840,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882275.jpg,,,,,,,,,, +三花枪刀药,Hypoestes triflora,T.N.Liou,L.6288,19321203,,578,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01558258.jpg,,,,,,,,,, +小金梅草,Hypoxis aurea,"吴征镒,林契夫斯基,费德罗夫,吉尔比奇尼可夫",1345,19550528,云南省,1700,路旁村旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239368.jpg,,,,,,,,,, +小金梅草,Hypoxis aurea,陈恒彬,628,19850803,福建省,500,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239367.jpg,,,,,,,,,, +猬草,Hystrix duthie,"张树仁,陈淑荣,朗校安等",2135,20140620,四川省,1650~1800,山坡 阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021768.jpg,,,,,,,,,, +猬草,Hystrix duthie,白水江考察队,1013,20060704,甘肃省,1560,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01824987.jpg,,,,,,,,,, +猬草,Hystrix duthie,罗毅波,2486,19850629,湖南省,950,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01644754.jpg,,,,,,,,,, +,Ichnanthus pallens,,133,19620821,广西壮族自治区,850,落叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981262.jpg,,,,,,,,,, +,Ichnanthus pallens,李渤生等,3898,19830329,西藏自治区,,半常绿雨林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805506.jpg,,,,,,,,,, +,Ichnanthus pallens,Koji Yonekura & Keiko Yasuda,12097,20041116,,360~370,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01719163.jpg,,,,,,,,,, +黄药,Ichtyoselmis macrantha,资源县普查队,450329151024130LY,20151024,广西壮族自治区,1674,阔叶林,林下,偶见野生,草本,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00404672.jpg,,,,,,,,,, +黄药,Ichtyoselmis macrantha,李雄、龚佑科,19071522,20190415,湖南,650,林缘,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI071856.jpg,,,,,,,,,, +黄药,Ichtyoselmis macrantha,郭永杰,陶以军,李松强,李策宏,20CS19234,20200425,四川,1820,路边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489166.jpg,,,,,,,,,, +山桐子,Idesia polycarpa var. polycarpa,吕惠珍、农东新、岑海锋,451031141027016LY,20141027,广西,1636,阔叶林,林下,黄棕壤,乔木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0115330.jpg,,,,,,,,,, +山桐子,Idesia polycarpa var. polycarpa,李红、白洪兵,533324180912877LY,20180912,云南,2113,,乔木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009391.jpg,,,,,,,,,, +山桐子(原变种),Idesia polycarpa var. polycarpa,张桥蓉,宋鼎,孙旭伟,吕维志,王勒保,ZhangYH044,20190719,贵州,1642,灌丛中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1488888.jpg,,,,,,,,,, +长梗黑果冬青,Ilex atrata var. wangii,"简焯坡,应俊生,马成功等",30516,19630805,贵州省,850,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02058744.jpg,,,,,,,,,, +长梗黑果冬青,Ilex atrata var. wangii,C.W.Wang,67359,19351000,云南省,2300,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050331.jpg,,,,,,,,,, +长梗黑果冬青,Ilex atrata var. wangii,陈伟烈,14539,19800901,西藏自治区,1800,林内,,无花无果,https://image.cvh.ac.cn/files/l/PE/01804584.jpg,,,,,,,,,, +刺叶冬青,Ilex bioritsensis,易思荣等,334,20050702,重庆市,1300,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057457.jpg,,,,,,,,,, +刺叶冬青,Ilex bioritsensis,应俊生,4719,19600926,四川省,2700,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986025.jpg,,,,,,,,,, +刺叶冬青,Ilex bioritsensis,,652,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986022.jpg,,,,,,,,,, +华中枸骨,Ilex centrochinensis,"周洪富,粟和毅",111363,19641008,四川省,1000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057460.jpg,,,,,,,,,, +华中枸骨,Ilex centrochinensis,张彩飞,1946,20090606,重庆市,500,干旱多石山坡低矮杂灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02057448.jpg,,,,,,,,,, +华中枸骨,Ilex centrochinensis,夏江林,67,19960410,湖南省,400,山谷灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01628688.jpg,,,,,,,,,, +纤齿枸骨,Ilex ciliospinosa,"洪德元,马欣堂,王强",H12050,20120812,西藏自治区,1850,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069004.jpg,,,,,,,,,, +纤齿枸骨,Ilex ciliospinosa,杨亚滨,75,19730727,四川省,1770,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0219250.jpg,,,,,,,,,, +纤齿枸骨,Ilex ciliospinosa,H.T.Tsai,52130,19320531,云南省 ,1900,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0219214.jpg,,,,,,,,,, +,Ilex corallina var. corallina,高飞,2051,20030313,贵州省,600,山坡林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01628639.jpg,,,,,,,,,, +,Ilex corallina var. corallina,K.M.Feng,3836,19400512,云南省,2300,沟边杂林中 习见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01316742.jpg,,,,,,,,,, +珊瑚冬青,Ilex corallina var. corallina,贺交容,73,,四川省,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0545516.jpg,,,,,,,,,, +弯尾冬青,Ilex cyrtura,,279,19620906,广西壮族自治区,1500,落叶、常绿混交林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01981857.jpg,,,,,,,,,, +弯尾冬青,Ilex cyrtura,毛品一,490,19560919,云南省,1450,河旁疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01370717.jpg,,,,,,,,,, +,Ilex delavayi var. delavayi,俞德浚,5677,19370524,四川省,3200,under Abies forests,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0545669.jpg,,,,,,,,,, +,Ilex delavayi var. delavayi,俞德浚,5100,19370426,云南省,2800,under woods,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0545677.jpg,,,,,,,,,, +双果冬青,Ilex dicarpa,"洪德元,马欣堂,王强",H12002,20120802,西藏自治区,1150,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069016.jpg,,,,,,,,,, +双果冬青,Ilex dicarpa,"刘成, 亚吉东",18CS17255,20181123,西藏,1591,次生林林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486690.jpg,,,,,,,,,, +双核冬青,Ilex dipyrena,"李渤生,程树志",1068,19820926,西藏自治区,2200~2400,常绿阔叶林林缘时见灌木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077473.jpg,,,,,,,,,, +双核冬青,Ilex dipyrena,北京所横断山队,2611,19810804,云南省,3100,50-48km之间 云铁冷杉混交林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042485.jpg,,,,,,,,,, +,Ilex forrestii var. forrestii,,25228,,云南省 ,0,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0546207.jpg,,,,,,,,,, +,Ilex forrestii var. forrestii,冯国楣,2634,19391227,云南省,2500,沟边,小乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0546187.jpg,,,,,,,,,, +滇西冬青,Ilex forrestii var. forrestii,梅里队,27261,19930514,云南,2950,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG006052.jpg,,,,,,,,,, +薄叶冬青,Ilex fragilis,"赵清盛,师进斌",119352,19830724,四川省,1250,林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02099422.jpg,,,,,,,,,, +薄叶冬青,Ilex fragilis,"董洪进,赵飞",WM-0455,20160517,云南省,1900,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090353.jpg,,,,,,,,,, +,Ilex franchetiana var. franchetiana,赵子孝,594,,四川省,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0546442.jpg,,,,,,,,,, +,Ilex franchetiana var. franchetiana,蔡希陶,57802,,云南省 ,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0546407.jpg,,,,,,,,,, +长叶枸骨,Ilex georgei,,78,19400900,贵州省,1000,强石灰性土,,无花无果,https://image.cvh.ac.cn/files/l/PE/01601226.jpg,,,,,,,,,, +长叶枸骨,Ilex georgei,侯学煜,463,19410515,重庆市,1300,石灰岩上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01601225.jpg,,,,,,,,,, +长叶枸骨,Ilex georgei,George Forrest,24826,19240800,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01322233.jpg,,,,,,,,,, +贡山冬青,Ilex hookeri,T.T.Yu,20120,19380903,云南省,2500,Among mixed forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01322352.jpg,,,,,,,,,, +贡山冬青,Ilex hookeri,杨龙,85-1123,19851123,贵州省,,河边,,无花有果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0004054.jpg,,,,,,,,,, +错枝冬青,Ilex intricata,李渤生等,5715,19830721,西藏自治区,3600,Abies及Betnca林下时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01986089.jpg,,,,,,,,,, +错枝冬青,Ilex intricata,T.T.Yu,20930,19381102,云南省,3200,side of mt stream open & rocky place,,无花有果,https://image.cvh.ac.cn/files/l/PE/01322463.jpg,,,,,,,,,, +错枝冬青,Ilex intricata,中苏队,3961,19560000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0217481.jpg,,,,,,,,,, +,Ilex longecaudata var. longecaudata,刘恩德,75,20030420,云南省,2300,山坡路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0138598.jpg,,,,,,,,,, +,Ilex longecaudata var. longecaudata,蔡希陶,56581,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0546836.jpg,,,,,,,,,, +大柱头冬青,Ilex macrostigma,,21663,19220600,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/097157192.jpg,,,,,,,,,, +大柱头冬青,Ilex macrostigma,j.r.rock,6888,19220910,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/097157194.jpg,,,,,,,,,, +乳头冬青,Ilex mamillata,李光照,13753,19931203,广西壮族自治区,188,山坡石灰岩,,无花无果,https://image.cvh.ac.cn/files/l/PE/01628818.jpg,,,,,,,,,, +乳头冬青,Ilex mamillata,税玉民,2397,19930417,云南省,1850,土山地山沟密林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01628819.jpg,,,,,,,,,, +红河冬青,Ilex manneiensis,税玉民,3123,19930728,云南省,2550,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02057508.jpg,,,,,,,,,, +红河冬青,Ilex manneiensis,武金安,8164,19590930,云南省 ,4000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0216689.jpg,,,,,,,,,, +红河冬青,Ilex manneiensis,王名金,3710,19551007,安徽省,900,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0216692.jpg,,,,,,,,,, +墨脱冬青,Ilex medogensis,青藏队,74-5041,19740904,西藏自治区,800,山坡 阔叶林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00033292.jpg,,,,,,,,,, +黑毛冬青,Ilex melanotricha,青藏队,73-778,19730718,西藏自治区,2900,山坡铁杉林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01323327.jpg,,,,,,,,,, +黑毛冬青,Ilex melanotricha,王启无,64454,19350700,云南省,3200,mixed wood,,无花有果,https://image.cvh.ac.cn/files/l/PE/01323324.jpg,,,,,,,,,, +黑毛冬青,Ilex melanotricha,南水北调(滇西北),8030,19600530,云南省 ,0,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0547175.jpg,,,,,,,,,, +小果冬青,Ilex micrococca,"Li Heng,Yang Shixiong,Lei Ligong et Ji Yunheng",1522,20030416,云南省,2490,常绿阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100846.jpg,,,,,,,,,, +小果冬青,Ilex micrococca,川黔队,51,19560421,重庆市,,山地 山坡 阴处 疏密林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075634.jpg,,,,,,,,,, +小果冬青,Ilex micrococca,"张志耘,谢磊,张强",2015-250,20150509,广西壮族自治区,400,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064918.jpg,,,,,,,,,, +小核冬青,Ilex micropyrena,K.M.Feng,8070,19400928,云南省,1700,沟边杂林中 少见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01323825.jpg,,,,,,,,,, +小核冬青,Ilex micropyrena,中南林学院采集4队,183,19800900,湖南省,,,落叶乔木,无花有果,https://image.cvh.ac.cn/files/l/FJFC/FJFC0006889.jpg,,,,,,,,,, +小圆叶冬青,Ilex nothofagifolia,,24726,19591126,云南省,2000,山坡阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986130.jpg,,,,,,,,,, +小圆叶冬青,Ilex nothofagifolia,"李渤生,程树志",1083,19820926,西藏自治区,2200~2500,常绿阔叶林间常见灌木,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986128.jpg,,,,,,,,,, +猫儿刺,Ilex pernyi,"关克俭,王文采",3030,19630906,四川省,2150,山谷灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091794.jpg,,,,,,,,,, +猫儿刺,Ilex pernyi,武考队,2364,19810430,福建省,2000,疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057839.jpg,,,,,,,,,, +猫儿刺,Ilex pernyi,南水北调队,257,19590517,陕西省,1120,阳坡倒柏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02057610.jpg,,,,,,,,,, +皱叶冬青,Ilex perryana,T.T.Yu,20942,19381103,云南省,2800,among thickets on open slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050336.jpg,,,,,,,,,, +皱叶冬青,Ilex perryana,"李渤生,程树志",1856,19821120,西藏自治区,3350,Abiea林 Tsuga段常绿林下大林高山或灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986122.jpg,,,,,,,,,, +,Ilex polyneura,刘恩德等,4476,20150704,云南省,2102,山坡林灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02068769.jpg,,,,,,,,,, +多脉冬青,Ilex polyneura,刘焕光,968,19580720,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0210557.jpg,,,,,,,,,, +多脉冬青,Ilex polyneura,余德俊,17878,19381004,云南省 ,2300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0210538.jpg,,,,,,,,,, +有毛冬青,Ilex pubigera,C.Y.Chiao,1683,19390806,贵州省,0~1000,,,有花无果,https://image.cvh.ac.cn/files/l/N/097157004.jpg,,,,,,,,,, +点叶冬青,Ilex punctatilimba,李国风,61584,19570526,四川省,2100,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0548073.jpg,,,,,,,,,, +点叶冬青,Ilex punctatilimba,青藏队,6389,19820510,云南省,3000,山坡杂木林,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0548074.jpg,,,,,,,,,, +高山冬青,Ilex rockii,生态室高原组,10332,19800625,西藏自治区,3300,落叶松林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01804588.jpg,,,,,,,,,, +高山冬青,Ilex rockii,王启无,66727,19350900,云南省,3000,woods,,无花无果,https://image.cvh.ac.cn/files/l/PE/01335078.jpg,,,,,,,,,, +铁冬青,Ilex rotunda,"Y.Tateishi,C.T.Chen,T.Kajita,Z.Y.Zhu,H.G.Ye and Z.",1504,,广东省,400~650,in thickets by stream,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309166.jpg,,,,,,,,,, +铁冬青,Ilex rotunda,川黔队,2240,19561021,贵州省,,阴处 山谷 潮湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075710.jpg,,,,,,,,,, +铁冬青,Ilex rotunda,川黔队,784,19560716,重庆市,,石灰岩 阴处 山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075709.jpg,,,,,,,,,, +落霜红,Ilex serrata,吕胜由,24197,19931121,台湾省,1100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02063647.jpg,,,,,,,,,, +落霜红,Ilex serrata,Miyoshi Furuse,35964,19590817,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932481.jpg,,,,,,,,,, +落霜红,Ilex serrata,赖书坤,3504,19630906,江西省,500,山地水旁山脚,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802957.jpg,,,,,,,,,, +锡金冬青,Ilex sikkimensis,"李渤生,程树志",2654,19830122,西藏自治区,1200~850,半常绿雨林中常见小乔,,有花无果,https://image.cvh.ac.cn/files/l/PE/01986134.jpg,,,,,,,,,, +锡金冬青,Ilex sikkimensis,George Forrest,26058,19241200,云南省,3333,In forests,,无花有果,https://image.cvh.ac.cn/files/l/PE/01335590.jpg,,,,,,,,,, +拟长尾冬青,Ilex sublongecaudata,中国科学院植物研究所昆明工作站,24725,19591126,云南省,1800,山坡阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01986149.jpg,,,,,,,,,, +异齿冬青,Ilex subrugosa,K.M.Feng,3741,19400509,云南省,2000~2300,沟边杂林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01335859.jpg,,,,,,,,,, +异齿冬青,Ilex subrugosa,中苏调查团,1814/1,19550622,四川省,,山谷溪旁石上峻坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01335857.jpg,,,,,,,,,, +,Ilex szechwanensis var. szechwanensis,钟,893,19280716,贵州省,0,,小乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0548719.jpg,,,,,,,,,, +,Ilex szechwanensis var. szechwanensis,贺交容,495,,四川省,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0548808.jpg,,,,,,,,,, +,Ilex szechwanensis var. szechwanensis,蒋瑛,12121,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0548662.jpg,,,,,,,,,, +,Ilex triflora var. triflora,张肇骞,12742,19580918,广西壮族自治区,300,山地,路旁,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0549051.jpg,,,,,,,,,, +,Ilex triflora var. triflora,刘心祈,24895,19351015,广东省,0,山腰树林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0549063.jpg,,,,,,,,,, +,Ilex triflora var. triflora,章绍尧,3380,19580000,浙江省,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0549075.jpg,,,,,,,,,, +伞序冬青,Ilex umbellulata,梁向日,63135,19330925,海南省,,沿溪疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802979.jpg,,,,,,,,,, +伞序冬青,Ilex umbellulata,C.W.Wang,73370,19360400,云南省,1650,ravine woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802978.jpg,,,,,,,,,, +,Ilex venulosa var. venulosa,蔡希陶,56425,,云南省 ,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0549209.jpg,,,,,,,,,, +,Ilex venulosa var. venulosa,李鸣岗,1133,19391111,云南省,2110,混合的森林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0549189.jpg,,,,,,,,,, +,Ilex venulosa var. venulosa,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11871,20161113,西藏,1641,中山湿性常绿阔叶林林缘路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444964.jpg,,,,,,,,,, +滇缅冬青,Ilex wardii,刘恩德,609,20030501,云南省,1800,山坡林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0138621.jpg,,,,,,,,,, +西藏冬青,Ilex xizangensis,青藏队,74-3852,19740731,西藏自治区,3200,山坡冷杉林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01370232.jpg,,,,,,,,,, +,Ilex yuana,"余新林,赵玮",BSGLGStc071,20111112,云南省,2395,中山湿性常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1329241.jpg,,,,,,,,,, +,Ilex yunnanensis var. yunnanensis,赵子孝,176,,四川省,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0549386.jpg,,,,,,,,,, +,Ilex yunnanensis var. yunnanensis,蔡希陶,63045,,云南省,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0549394.jpg,,,,,,,,,, +中缅八角,Illicium burmanicum,780植被组,682,19781203,云南省,2600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231175.jpg,,,,,,,,,, +中缅八角,Illicium burmanicum,,d.1,1963-11-,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0054951.jpg,,,,,,,,,, +西藏八角,Illicium griffithii,江西调查队,939,19540905,江西省,1400,山山坡灌木丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01567933.jpg,,,,,,,,,, +西藏八角,Illicium griffithii,"程树志,李渤生",4765,19830501,西藏自治区,2300,常阔林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01468129.jpg,,,,,,,,,, +西藏八角,Illicium griffithii,黔南队,1005,19590427,贵州省,1350,山沟 山谷 密林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01283178.jpg,,,,,,,,,, +大花八角,Illicium macranthum,杨国平,李达文等,ygp-018,20061016,云南,2450,常绿阔叶林内,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230385.jpg,,,,,,,,,, +大花八角,Illicium macranthum,张启泰,85076,19881028,云南省,2330~2370,阔叶林中,,,https://image.cvh.ac.cn/files/l/KUN/1270012.jpg,,,,,,,,,, +滇西八角,Illicium merrillianum,王洪,4879,20010725,云南省,1800,沟谷荫湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/02113766.jpg,,,,,,,,,, +滇西八角,Illicium merrillianum,"何德明|634, 韦荣彪, 古少国",WSLJS1001,20161011,云南,,中山湿性常绿阔叶林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1441446.jpg,,,,,,,,,, +野八角,Illicium simonsii,"陈伟烈,陈家瑞,郭柯,闫建平",5246,19840517,四川省,2500,疏松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231177.jpg,,,,,,,,,, +野八角,Illicium simonsii,T.T.Yu,17507,19380820,云南省,,among thickets,,无花无果,https://image.cvh.ac.cn/files/l/PE/02113775.jpg,,,,,,,,,, +贡山八角,Illicium wardii,"Drs.Zsolt Debreczy,Biro,Racz et Mr.Gustavo Ramirez",43467,19950219,云南省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00102466.jpg,,,,,,,,,, +贡山八角,Illicium wardii,"程树志,李渤生",2395,19821231,西藏自治区,1300~1900,"常绿阔中林下,常见灌木",,无花无果,https://image.cvh.ac.cn/files/l/PE/00080738.jpg,,,,,,,,,, +贡山八角,Illicium wardii,和旭、白洪兵,533324180515222LY,20180515,云南,2493,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009247.jpg,,,,,,,,,, +多毛青藤,Illigera cordata var. mollissima,攀枝花苏铁考察队,516,20100915,四川省,1461,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01869011.jpg,,,,,,,,,, +多毛青藤,Illigera cordata var. mollissima,"钟补勤,匡可任",48,19430416,云南省,1600,岩山蔓生植物,,有花无果,https://image.cvh.ac.cn/files/l/PE/01120639.jpg,,,,,,,,,, +,Illigera grandiflora var. grandiflora,陶国达,李锡文,40005,19891031,云南省,850,石灰岩上,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0678201.jpg,,,,,,,,,, +抱茎凤仙花,Impatiens amplexicaulis,PE西藏队,PE6455,20170912,西藏自治区,3449~4414,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02332280.jpg,,,,,,,,,, +,Impatiens amplexicaulis,陈家辉,刘亚辉,周妍,赵艳丽,吴志刚,熊力军,YangYP-Q-2192,20090918,云南,3879,灌丛,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1246674.jpg,,,,,,,,,, +抱茎凤仙花,Impatiens amplexicaulis,冯国楣,2025,19390815,云南省,0,by stream in woodedside valley,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0427171.jpg,,,,,,,,,, +川西凤仙花,Impatiens apsotis,D.E.Boufford et al.,38428,20070728,四川省,2900~3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925381.jpg,,,,,,,,,, +川西凤仙花,Impatiens apsotis,D.E.Boufford et al.,41877,20090804,西藏自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925189.jpg,,,,,,,,,, +锐齿凤仙花,Impatiens arguta,青藏队,1542,19740702,西藏自治区,,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063891.jpg,,,,,,,,,, +锐齿凤仙花,Impatiens arguta,"尹志坚,王泽欢,陈丽",2090,20090911,云南省,2200,roadsides,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005797.jpg,,,,,,,,,, +锐齿凤仙花,Impatiens arguta,攀枝花苏铁考察队,565,20100917,四川省,2121,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879900.jpg,,,,,,,,,, +,Impatiens bahanensis,X.H.Jin et al.,DLJ-ET 2970,20080715,云南省,3200,alpine meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879077.jpg,,,,,,,,,, +,Impatiens bahanensis,,10043,19820907,西藏自治区,3000,山坡Picea林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00056740.jpg,,,,,,,,,, +,Impatiens barbata,张挺,蔡杰,郭永杰,刘成,张桥蓉,11CS3161,20110817,云南,2150,溪边路旁开阔地,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1303462.jpg,,,,,,,,,, +鬓毛凤仙花,Impatiens barbata,四川省植被调察队,2554,19730818,四川省,3500,水沟,阴湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0480047.jpg,,,,,,,,,, +,Impatiens bicornuta,陈家瑞,92255,19920917,西藏自治区,2500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878939.jpg,,,,,,,,,, +,Impatiens bicornuta,青藏队,6052,19750628,,2400~2600,阔叶林和铁杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00056922.jpg,,,,,,,,,, +睫苞凤仙花,Impatiens bracteata,青藏队补点组,751650,19750826,西藏自治区,2700,林下 ,,有花无果,https://image.cvh.ac.cn/files/l/PE/00060987.jpg,,,,,,,,,, +,Impatiens bracteata,张晓纬,田新民,罗建,LiuJQ-09XZ-lzt-105,20090911,西藏,2984,高原河谷,匍匐草木,,https://image.cvh.ac.cn/files/l/KUN/1246726.jpg,,,,,,,,,, +县角凤仙花,Impatiens ceratophora,X.H.Jin et al.,DLJ-ET 3254,20080719,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878269.jpg,,,,,,,,,, +县角凤仙花,Impatiens ceratophora,X.H.Jin et al.,DLJ-ET 2725,20080713,云南省,1780,Evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878212.jpg,,,,,,,,,, +县角凤仙花,Impatiens ceratophora,H. T. Tsai,54235,19330916,,2600,beside stream,,无花有果,https://image.cvh.ac.cn/files/l/PE/00061016.jpg,,,,,,,,,, +高黎贡凤仙花,Impatiens chimiliensis,X.H.Jin et al.,DLJ-ET 3435,20080720,西藏自治区,,conifer forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878268.jpg,,,,,,,,,, +高黎贡凤仙花,Impatiens chimiliensis,K. M. Feng ,8284,19401009,,,岩坡草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00061020.jpg,,,,,,,,,, +高黎贡凤仙花,Impatiens chimiliensis,T. T. Yu,20335,19380916,云南省,3200,Margin of thickets,,有花有果,https://image.cvh.ac.cn/files/l/PE/00061017.jpg,,,,,,,,,, +九龙凤仙花,Impatiens chiulungensis,应俊生等,4802,19601010,四川省,2700,密林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00039676.jpg,,,,,,,,,, +,Impatiens chiulungensis,王乾、顾健,HDS09713,20200914,四川,2373,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0270180.jpg,,,,,,,,,, +中甸凤仙花,Impatiens chungtienensis,陈文莉,Jan-00,20000808,云南省,3200,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879101.jpg,,,,,,,,,, +中甸凤仙花,Impatiens chungtienensis,青藏队植被组,2643,19740810,西藏自治区,3360,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839676.jpg,,,,,,,,,, +黄麻叶凤仙花,Impatiens corchorifolia,秦仁昌,24193,19290829,云南省,3500,杂木林下石崖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00061400.jpg,,,,,,,,,, +黄麻叶凤仙花,Impatiens corchorifolia,K.M.Feng,2845,19390829,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00061392.jpg,,,,,,,,,, +叶底花凤仙花,Impatiens cornucopia,秦仁昌,24476,19290908,云南省,,丛林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00061413.jpg,,,,,,,,,, +叶底花凤仙花,Impatiens cornucopia,B. Bartholomew ,3180,19851019,,2160,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00058349.jpg,,,,,,,,,, +,Impatiens crassicaudex,青藏科考队,12998,19760911,西藏自治区,3300,水沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00061404.jpg,,,,,,,,,, +,Impatiens crassicaudex,王启无,67605,19350800,云南省,2800,峡谷,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0427729.jpg,,,,,,,,,, +,Impatiens crassicaudex,,22445,19380820,云南省 ,0,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0427779.jpg,,,,,,,,,, +,Impatiens cristata,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0573,20130806,西藏自治区,,山谷灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992382.jpg,,,,,,,,,, +,Impatiens cristata,张晓纬,田新民,罗建,LiuJQ-09XZ-lzt-053,20090905,西藏,2900,高原河谷,草本,,https://image.cvh.ac.cn/files/l/KUN/1246732.jpg,,,,,,,,,, +错那凤仙花,Impatiens cuonaensis,PE西藏队,PE6005,20170906,西藏自治区,2935,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332760.jpg,,,,,,,,,, +凤仙花属,Impatiens cuonaensis,倪志诚 寥世荣 次多 次旦,1992,19810905,西藏,2250,山坡灌丛流水沟边,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0004415.jpg,,,,,,,,,, +舟状凤仙花,Impatiens cymbifera,"姜恕,赵从福",204,19670928,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01535598.jpg,,,,,,,,,, +,Impatiens cymbifera,张晓纬,田新民,罗建,LiuJQ-09XZ-lzt-103,20090911,西藏,2984,高原河谷,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1246740.jpg,,,,,,,,,, +耳叶凤仙花,Impatiens delavayi,林秦文,2013-169,20130601,云南省,1750~2300,峡谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02038708.jpg,,,,,,,,,, +耳叶凤仙花,Impatiens delavayi,D.E.Boufford et al.,42765,20100809,四川省,3535,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925147.jpg,,,,,,,,,, +束花凤仙花,Impatiens desmantha,PE西藏队,PE5705,20170903,西藏自治区,1683~2900,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332910.jpg,,,,,,,,,, +束花凤仙花,Impatiens desmantha,H. T. Tsai,58269,19340827,云南省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879266.jpg,,,,,,,,,, +束花凤仙花,Impatiens desmantha,T.T. Yu,12839,19370821,四川省,3600,margin of woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879245.jpg,,,,,,,,,, +异型叶凤仙花,Impatiens dimorphophylla,T.T. Yu,17129,19380731,云南省,2900,in ravine underthickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879243.jpg,,,,,,,,,, +异型叶凤仙花,Impatiens dimorphophylla,青藏队,14331,19830925,四川省,3000,山坡铁杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00061798.jpg,,,,,,,,,, +镰萼凤仙花,Impatiens drepanophora,于胜祥等,5660,20110818,西藏自治区,,沿途路旁山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878976.jpg,,,,,,,,,, +镰萼凤仙花,Impatiens drepanophora,S. K. Wu et al.,2451,19951023,云南省,1700~1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878257.jpg,,,,,,,,,, +,Impatiens falcifer,,713,19590802,西藏自治区,3400,河边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00061935.jpg,,,,,,,,,, +镰瓣凤仙花,Impatiens falcifer,"张挺, 刘成, 亚吉东",18CS17599,20180912,西藏,3290,灌丛林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484228.jpg,,,,,,,,,, +滇西凤仙花,Impatiens forrestii,云南考察队金效华等,YN-ET 1563,20090716,云南省,3200,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878238.jpg,,,,,,,,,, +滇西凤仙花,Impatiens forrestii,E.B.Howell,106,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0185400.jpg,,,,,,,,,, +,Impatiens forrestii,郭永杰,唐培洵,金永明,张娅婕,13CS7753,20130823,云南,1337,铜壁关河边,草本,,https://image.cvh.ac.cn/files/l/KUN/1321465.jpg,,,,,,,,,, +草莓凤仙花,Impatiens fragicolor,PE西藏队,PE5791,20170903,西藏自治区,3401,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02332353.jpg,,,,,,,,,, +横断山凤仙花,Impatiens hengduanensis,青藏队,9448,19820822,云南省,1500,山坡 常绿阔叶林缘 岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00039537.jpg,,,,,,,,,, +,Impatiens hengduanensis,陆露,Peter W Fritsch,张永彪,张明英,陈小涛,WH-2013-035,20130912,云南,3463,灌丛、有竹林分布,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321459.jpg,,,,,,,,,, +同距凤仙花,Impatiens holocentra,X.H.Jin et al.,DLJ-ET 0610,20080628,云南省,1450,evergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879088.jpg,,,,,,,,,, +同距凤仙花,Impatiens holocentra,T.T.Yu,19956,19380826,,1600~2000,under dense forest shady,,有花无果,https://image.cvh.ac.cn/files/l/PE/00039532.jpg,,,,,,,,,, +,Impatiens infirma,"金效华,王利松,刘恩德,张钢民",563,20020922,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879411.jpg,,,,,,,,,, +,Impatiens infirma,于胜祥等,6000,20110825,西藏自治区,,沿途路旁湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878975.jpg,,,,,,,,,, +,Impatiens laxiflora,PE西藏队,PE5828,20170903,西藏自治区,3401,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332748.jpg,,,,,,,,,, +,Impatiens laxiflora,D.E.Boufford et al.,38732,20070802,四川省,2230~2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925151.jpg,,,,,,,,,, +滇西北凤仙花,Impatiens lecomtei,X.H.Jin et al.,DLJ-ET 3303,20080719,西藏自治区,2400,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878270.jpg,,,,,,,,,, +滇西北凤仙花,Impatiens lecomtei,X.H.Jin et al.,DLJ-ET 2849,20080715,云南省,3200,alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878210.jpg,,,,,,,,,, +,Impatiens lecomtei,张挺,郭永杰,刘成等,10CS2092,20100727,云南,2556,"Roadside, broadleaf forest edge.",直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1246762.jpg,,,,,,,,,, +林芝凤仙花,Impatiens linghziensis,西藏中草药普查队,3460,19720617,西藏自治区,2700,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00023521.jpg,,,,,,,,,, +长梗凤仙花,Impatiens longipes,青藏队,74-2720,19740920,西藏自治区,4100,山谷草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00062394.jpg,,,,,,,,,, +无距凤仙花(原变种),Impatiens margaritifera var. margaritifera,白洪兵、和仕波,533324180819383LY,20180819,云南,3064.7,,草本,有花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010156.jpg,,,,,,,,,, +无距凤仙花(原变种),Impatiens margaritifera var. margaritifera,张相宜、成瑞瑜、郭泳棂,CRY-00-AA-22-023,20200920,四川,3143,高山草甸,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02068796.jpg,,,,,,,,,, +距凤仙花,Impatiens microcentra,X.H.Jin et al.,DLJ-ET 0433,20080627,云南省,2270,evergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879087.jpg,,,,,,,,,, +距凤仙花,Impatiens microcentra,X.H.Jin et al.,DLJ-ET 3269,20080719,西藏自治区,,conifer forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878271.jpg,,,,,,,,,, +水金凤,Impatiens noli-tangere,孔冬梅,k0474,20140725,山西省,2089,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035400.jpg,,,,,,,,,, +水金凤,Impatiens noli-tangere,徐连升,X140066,20140814,吉林省,868,河边林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02031868.jpg,,,,,,,,,, +高山凤仙花,Impatiens nubigena,青藏队,10732,19820927,西藏自治区,3700,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00077698.jpg,,,,,,,,,, +高山凤仙花,Impatiens nubigena,俞德俊,9375,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00077697.jpg,,,,,,,,,, +高山凤仙花,Impatiens nubigena,T.T.Yu,3812,19340816,四川省,2900,under woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00077686.jpg,,,,,,,,,, +,Impatiens nyimana,陈伟烈,10658,19800626,西藏自治区,2400~2800,铁杉林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878983.jpg,,,,,,,,,, +小脉凤仙花,Impatiens oligoneura,D.E.Boufford et al.,27887,19970905,四川省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579629.jpg,,,,,,,,,, +小脉凤仙花,Impatiens oligoneura,吴中伦,20260,19500913,甘肃省,,山谷山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/00077736.jpg,,,,,,,,,, +宽距凤仙花,Impatiens platyceras,"李良千,王忠涛,杜玉芬,卫然",205,20110912,甘肃省,2017~2110,林缘沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01914108.jpg,,,,,,,,,, +宽距凤仙花,Impatiens platyceras,"何铸,周子林",13773,19520000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879431.jpg,,,,,,,,,, +直踞凤仙花,Impatiens pseudo-kingii,T.T.Yu,17493,19380829,云南省,1600,near by stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/00078170.jpg,,,,,,,,,, +直距凤仙花,Impatiens pseudo-kingii,刘慎谔,14330,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0184505.jpg,,,,,,,,,, +直距凤仙花,Impatiens pseudo-kingii,,575,,湖南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0184498.jpg,,,,,,,,,, +,Impatiens puberula,,75-1959,19750914,西藏自治区,,真阔混交林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878959.jpg,,,,,,,,,, +,Impatiens puberula,云南考察队金效华等,YN-ET 1047,20090708,云南省,1400,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878242.jpg,,,,,,,,,, +,Impatiens puberula,,680,19750715,,,N058,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878326.jpg,,,,,,,,,, +紫花凤仙花,Impatiens purpurea,,775,19750722,云南省,3600,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879102.jpg,,,,,,,,,, +,Impatiens purpurea,字建宇,杨六斤,李国庆,李施文,张志云,TC1046,20110915,云南,2585,路边草地,直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1246787.jpg,,,,,,,,,, +紫花凤仙花,Impatiens purpurea,联大,1012,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0428552.jpg,,,,,,,,,, +辐射凤仙花,Impatiens radiata,PE西藏队,PE5923,20170905,西藏自治区,3020~3460,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332758.jpg,,,,,,,,,, +辐射凤仙花,Impatiens radiata,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",521,20020825,云南省,2500,山地次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100980.jpg,,,,,,,,,, +辐射凤仙花,Impatiens radiata,泛喜马拉雅植物志巴基斯坦采集队,1827,20120916,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005823.jpg,,,,,,,,,, +,Impatiens rectangula,"张宪春,蒋日红,魏雪苹等",6288,20100919,云南省,2016,林下土生,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879091.jpg,,,,,,,,,, +直角凤仙花,Impatiens rectangula,H.T.Tsai,56593,19230923,云南省 ,2000,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0184519.jpg,,,,,,,,,, +直角凤仙花,Impatiens rectangula,李馨,75796,19570905,四川省,2500,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0184677.jpg,,,,,,,,,, +红纹凤仙花,Impatiens rubro-striata,"S.K.Wu,Y.M.Shui et al.",276,19951027,云南省,1900~2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01910821.jpg,,,,,,,,,, +红纹凤仙花,Impatiens rubro-striata,于胜祥,3766,20051024,广西壮族自治区,970,山谷,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878747.jpg,,,,,,,,,, +红纹凤仙花,Impatiens rubro-striata,北京青年队,117,19860710,贵州省,1790~2100,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878408.jpg,,,,,,,,,, +,Impatiens scabrida,PE西藏队,PE6227,20170910,西藏自治区,2488~2994,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02333346.jpg,,,,,,,,,, +,Impatiens scabrida,,6510,19750813,,1900,Sunny slopes,,有花有果,https://image.cvh.ac.cn/files/l/PE/00078541.jpg,,,,,,,,,, +,Impatiens serrata,PE西藏队,PE6381,20170911,西藏自治区,3120,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332762.jpg,,,,,,,,,, +,Impatiens serrata,张晓纬,田新民,罗建,LiuJQ-09XZ-lzt-106,20090911,西藏,2984,高原河谷,,,https://image.cvh.ac.cn/files/l/KUN/1246817.jpg,,,,,,,,,, +黄金凤(原变种) ,Impatiens siculifer var. siculifer,朱意麟、严枫、滕建北、杨明灿、甘日呈、陈思任,450481140921021LY,20140921,广西壮族自治区,767,草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0146339.jpg,,,,,,,,,, +黄金凤,Impatiens siculifer var. siculifer,资源县普查队,450329160523003LY,20160523,广西,921,阔叶林,林下,路旁,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0172086.jpg,,,,,,,,,, +黄金凤,Impatiens siculifer var. siculifer,王颖,WY048,20160820,广东省,259,山地 路旁,一年生草本 直立,,https://image.cvh.ac.cn/files/l/CZH/CZH0019818.jpg,,,,,,,,,, +,Impatiens soulieana,"高信芬,彭玉兰,孙庚",3343,20020911,四川省,2650,常绿阔叶林下,水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879417.jpg,,,,,,,,,, +,Impatiens soulieana,何兴金,高云东,王志新,余岩,SCU-09-203,20090820,四川,2200,山坡湿地,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1246844.jpg,,,,,,,,,, +窄花凤仙花,Impatiens stenantha,,2684,19740920,西藏自治区,2600,铁杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878963.jpg,,,,,,,,,, +窄花凤仙花,Impatiens stenantha,S. K. Wu et al.,2452,19951023,云南省,1700~1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878179.jpg,,,,,,,,,, +近无距凤仙花,Impatiens subecalcarata,藏东南考察队,SET-ET 70,20090812,云南省,3575,along the alpine forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878239.jpg,,,,,,,,,, +近无距凤仙花,Impatiens subecalcarata,T.T.Yu,7631,19370807,四川省,2800,margin of woods grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00039610.jpg,,,,,,,,,, +,Impatiens subecalcarata,张挺,郭永杰,刘成等,10CS2265,20100805,四川,3780,"Rocky river gorge, slope 20°, S-facing",,有花有果,https://image.cvh.ac.cn/files/l/KUN/1246846.jpg,,,,,,,,,, +槽茎凤仙花,Impatiens sulcata,PE西藏队,PE5820,20170903,西藏自治区,3401,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332861.jpg,,,,,,,,,, +槽茎凤仙花,Impatiens sulcata,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00089369.jpg,,,,,,,,,, +,Impatiens taronensis,Xiaohua Jin & Ting Zhang,186,20080518,云南省,1851,forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878181.jpg,,,,,,,,,, +独龙凤仙花,Impatiens taronensis,C.W.Wang,78306,19360800,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0184746.jpg,,,,,,,,,, +,Impatiens taronensis,陆露,Peter W Fritsch,张永彪,张明英,陈小涛,WH-2013-036,20130912,云南,3463,灌丛、有竹林分布,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321460.jpg,,,,,,,,,, +柔茎凤仙花,Impatiens tenerrima,T.T.Yu,7543,19370802,四川省,2800,under woods on roks,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00039606.jpg,,,,,,,,,, +柔茎凤仙花,Impatiens tenerrima,程堂仁、张强英、郭治友等,H-黔丹寨-Z-6549,20100813,贵州省,867,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00073339.jpg,,,,,,,,,, +柔茎凤仙花,Impatiens tenerrima,张代贵,zdg7111,20120804,湖北省,427.26,路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU05086.jpg,,,,,,,,,, +膜苞凤仙花,Impatiens tenuibracteata,X.H.Jin et al.,DLJ-ET 3315,20080720,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878950.jpg,,,,,,,,,, +膜苞凤仙花,Impatiens tenuibracteata,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14411,20161113,西藏,1605,林下阴湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445513.jpg,,,,,,,,,, +,Impatiens thiochroa,北京所横断山队,3192,19810817,云南省,3770,冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00089447.jpg,,,,,,,,,, +,Impatiens thiochroa,"Handel-Mazzetti, Heinrich",7871,29-Aug-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00313665.jpg,,,,,,,,,, +藏西凤仙花,Impatiens thomsonii,陈家瑞,92269,19920918,西藏自治区,2400,Moist,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878936.jpg,,,,,,,,,, +藏西凤仙花,Impatiens thomsonii,T.N.Liou,6042,19321122,,7230,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00089451.jpg,,,,,,,,,, +微绒毛凤仙花,Impatiens tomentella,吉占和,92-113,19920408,云南省,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879125.jpg,,,,,,,,,, +微绒毛凤仙花,Impatiens tomentella,熊济华等,32344,19520904,四川省,,林下 ,,有花无果,https://image.cvh.ac.cn/files/l/PE/00061837.jpg,,,,,,,,,, +扭萼凤仙花,Impatiens tortisepala,于胜祥等,5045,20110807,四川省,,沿途路旁及山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878570.jpg,,,,,,,,,, +扭萼凤仙花,Impatiens tortisepala,李小杰,LiXJ764,20150917,四川,1580,路边荒地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1458294.jpg,,,,,,,,,, +苍山凤仙花,Impatiens tsangshanensis,云南考察队金效华等,YN-ET 1562,20090716,云南省,3000,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878241.jpg,,,,,,,,,, +,Impatiens tuberculata,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1056,20130813,西藏自治区,3900,山坡混交林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992403.jpg,,,,,,,,,, +瘤果凤仙花,Impatiens tuberculata,张林、李星月、张晓严,4-373,20180618,西藏,2786,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023778.jpg,,,,,,,,,, +滇水金凤,Impatiens uliginosa,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",530,20020825,云南省,2570,山地次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100976.jpg,,,,,,,,,, +滇水金凤,Impatiens uliginosa,"高信芬,彭玉兰,孙庚",3568,20020916,四川省,2000,溪沟边湿润处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879414.jpg,,,,,,,,,, +,Impatiens urticifolia,PE西藏考察队,7462,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332440.jpg,,,,,,,,,, +,Impatiens urticifolia,,2756,19740923,,,林缘路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878319.jpg,,,,,,,,,, +条纹凤仙花,Impatiens vittata,覃海宁等,105,20010827,四川省,3400,山坡灌丛下湿地水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879390.jpg,,,,,,,,,, +维西凤仙花,Impatiens weihsiensis,K.M.Feng,4408,19400603,云南省,2500,沟边杂木中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00089629.jpg,,,,,,,,,, +金黄凤仙花(原变种),Impatiens xanthina var. xanthina,李红、白洪兵,533324180828525LY,20180828,云南,2206,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG010155.jpg,,,,,,,,,, +黄头凤仙花,Impatiens xanthocephala,,30669,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00089658.jpg,,,,,,,,,, +黄头凤仙花,Impatiens xanthocephala,T.T.Yu,7694,19370813,四川省,3100,margin of woods grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00039635.jpg,,,,,,,,,, +白茅,Imperata cylindrica,石雷 林秦文,2011016,20110415,北京市,81,公路边草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112306.jpg,,,,,,,,,, +白茅,Imperata cylindrica,"Van Wyk,B-E & Van Wyk,C.M.",2607,19901126,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089314.jpg,,,,,,,,,, +白茅,Imperata cylindrica,候学煜等,20521,19520917,河南省,,砂丘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082486.jpg,,,,,,,,,, +高波罗花,Incarvillea altissima,"张永田,郞楷永",1959,19650819,西藏自治区,4500,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01884525.jpg,,,,,,,,,, +高波罗花,Incarvillea altissima,K.L.Chu,7300,19400704,四川省,,on crevice of clift,,有花有果,https://image.cvh.ac.cn/files/l/PE/01154503.jpg,,,,,,,,,, +两头毛,Incarvillea arguta,陈家瑞,92367A,19920928,西藏自治区,3100,河边石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115740.jpg,,,,,,,,,, +两头毛,Incarvillea arguta,"覃海宁,于胜祥,武建勇",17094,20080407,四川省,2900,山谷沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115739.jpg,,,,,,,,,, +两头毛,Incarvillea arguta,中科院西南综考队 川滇黔接壤分队,413,19650511,云南省,1280,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115737.jpg,,,,,,,,,, +四川波罗花,Incarvillea beresowskii,青藏队补点组,750709,19750725,西藏自治区,4210,西坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01154786.jpg,,,,,,,,,, +四川波罗花,Incarvillea beresowskii,青藏队,3538,19740616,四川省,3400,岩石山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01154781.jpg,,,,,,,,,, +密生波罗花,Incarvillea compacta,Harry Smith,3981,19220208,四川省,3400,in declivate tenosa,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115744.jpg,,,,,,,,,, +密生波罗花,Incarvillea compacta,,651,19640811,青海省,4400,丘陵南坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082689.jpg,,,,,,,,,, +密生波罗花,Incarvillea compacta,青藏队,3054,19810714,云南省,4600,山坡 灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01173100.jpg,,,,,,,,,, +红波罗花,Incarvillea delavayi,蓝顺彬,92,19840813,云南省,3200,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01648721.jpg,,,,,,,,,, +红波罗花,Incarvillea delavayi,T.T.Yu,6867,19370706,四川省,3600,side of mt.stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/01154878.jpg,,,,,,,,,, +单叶波罗花,Incarvillea forrestii,"韩裕丰,邓坤枚,黄晓鹤",83-206,19830811,四川省,4050,落叶松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115753.jpg,,,,,,,,,, +单叶波罗花,Incarvillea forrestii,T.T.Yu,5635,19370523,,4000,mt.slope open place,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115746.jpg,,,,,,,,,, +单叶波罗花,Incarvillea forrestii,杨竞生,88-162,19880822,云南省,4450,石坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115741.jpg,,,,,,,,,, +黄波罗花,Incarvillea lutea,"陈伟烈,陈家瑞,郭柯,闫建平",6308,19840615,四川省,3200,河谷流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115748.jpg,,,,,,,,,, +黄波罗花,Incarvillea lutea,吴征镒等,75-0751,19750712,西藏自治区,4460~4500,阳坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01154924.jpg,,,,,,,,,, +大花鸡肉参,Incarvillea mairei var. grandiflora,T.T.Yu,13974,19371107,云南省,3200,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115721.jpg,,,,,,,,,, +大花鸡肉参,Incarvillea mairei var. grandiflora,K.L.Chu,7086,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01155018.jpg,,,,,,,,,, +大花鸡肉参,Incarvillea mairei var. grandiflora,T.T.Yu,6867,19370706,四川省,3600,side of mt.stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/01155017.jpg,,,,,,,,,, +鸡肉参,Incarvillea mairei var. mairei,,22909,0,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0210113.jpg,,,,,,,,,, +鸡肉参,Incarvillea mairei var. mairei,周铉,1037,19640526,云南省,3200,河滩五花草甸中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0210103.jpg,,,,,,,,,, +黄花角蒿,Incarvillea sinensis var. przewalskii,D.E.Boufford et al.,35490,20060730,四川省,2400~2430,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579895.jpg,,,,,,,,,, +黄花角蒿,Incarvillea sinensis var. przewalskii,T.T.Yu,9621,19370818,云南省,3850,mt road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01155350.jpg,,,,,,,,,, +黄花角蒿,Incarvillea sinensis var. przewalskii,郭本兆,9503,19710817,青海省,,阳坡碎石处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01155349.jpg,,,,,,,,,, +,Incarvillea sinensis var. sinensis,陈又生等,140822,20140724,内蒙古自治区,1441,路边草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02034447.jpg,,,,,,,,,, +角蒿,Incarvillea sinensis var. sinensis,青藏队,11673,19760602,西藏自治区,2800,路边,草本 ,有花无果,https://image.cvh.ac.cn/files/l/KUN/0210211.jpg,,,,,,,,,, +角蒿,Incarvillea sinensis var. sinensis,王作宾,16275,19520821,陕西省,1600,生山坡荒地中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0210215.jpg,,,,,,,,,, +藏波罗花,Incarvillea younghusbandii,PE西藏考察队,7674,20180622,西藏自治区,4991,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332900.jpg,,,,,,,,,, +尖瓣木蓝,Indigofera acutipetala,T.T.Yu,6725,19370703,四川省,2400,among thickets,shrub,有花无果,https://image.cvh.ac.cn/files/l/PE/01432532.jpg,,,,,,,,,, +尖瓣木蓝,Indigofera acutipetala,香料植物考察队,870211,19870627,云南省,2250,山坡草地,小灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0613841.jpg,,,,,,,,,, +尖瓣木蓝,Indigofera acutipetala,昭普队,,19790509,四川,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM707203398.jpg,,,,,,,,,, +多花木蓝,Indigofera amblyantha,万涛等,FSB-739,20130709,四川省,,沿路,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020969.jpg,,,,,,,,,, +多花木蓝,Indigofera amblyantha,秦岭队,610,19590823,陕西省,1600,水旁山谷路旁灌木丛中野生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851977.jpg,,,,,,,,,, +多花木蓝,Indigofera amblyantha,巴山采集队,52,20080706,重庆市,1670,山坡林中路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850833.jpg,,,,,,,,,, +,Indigofera argutidens,"张正华,田效文,汤宗孝",141,19810529,云南省,1500,山坡岩边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01140416.jpg,,,,,,,,,, +尖齿木蓝,Indigofera argutidens,陈谋,2475,19340000,云南省 ,0,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0613284.jpg,,,,,,,,,, +,Indigofera atropurpurea,"李渤生,程树志",3954,19830408,西藏自治区,1000,江边林缘时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074696.jpg,,,,,,,,,, +,Indigofera atropurpurea,,92002,19920108,广西壮族自治区,,山坡杂草,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841379.jpg,,,,,,,,,, +,Indigofera atropurpurea,朱水法,20166,19590901,四川省,1400,农田间,,无花有果,https://image.cvh.ac.cn/files/l/PE/00490920.jpg,,,,,,,,,, +,Indigofera balfouriana,林秦文,2013-037,20130527,云南省,1600~1750,沟谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02038716.jpg,,,,,,,,,, +,Indigofera balfouriana,"张经炜,王金亭",434,19660619,西藏自治区,2100,高阶地 杂木林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538525.jpg,,,,,,,,,, +,Indigofera bracteata,青藏队植被组,5337,19750715,西藏自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538797.jpg,,,,,,,,,, +,Indigofera bracteata,K.Stove,422,19781104,,,"Rare at base of hills,stony ground,side of creek bed,running down from hills",,有花无果,https://image.cvh.ac.cn/files/l/PE/00276330.jpg,,,,,,,,,, +河北木蓝,Indigofera bungeana,段长虹,Dch0152,20140630,山西省,1554,土石山,,有花有果,https://image.cvh.ac.cn/files/l/PE/02038575.jpg,,,,,,,,,, +河北木蓝,Indigofera bungeana,汤加勇,MY-135,20070717,四川省,1888,山上,云南松,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983546.jpg,,,,,,,,,, +河北木蓝,Indigofera bungeana,T.Miyazaki,1008083,20100822,,60,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01983380.jpg,,,,,,,,,, +,Indigofera calcicola,中甸队,1225,19620818,云南省,,放牧草地上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490935.jpg,,,,,,,,,, +,Indigofera calcicola,张大才,李双智,杨川等,ZhangDC-07ZX-1953,20100928,四川,2666,干暖河谷,半灌木,,https://image.cvh.ac.cn/files/l/KUN/1322918.jpg,,,,,,,,,, +灰岩木蓝,Indigofera calcicola,青藏科考队,11743,19760605,西藏自治区,2600,江边,路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0613440.jpg,,,,,,,,,, +,Indigofera chaetodonta,M.Iabbe Delavay,3451,18880530,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01515314.jpg,,,,,,,,,, +刺齿木蓝,Indigofera chaetodonta,"朱鑫鑫, 林庶, 胡梦杰",ZXX191089,20190906,云南,2142,亚热带针阔混交林,山坡草丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483757.jpg,,,,,,,,,, +,Indigofera chaetodonta,高信芬、彭玉兰、孙庚,4007,20020927,四川省,1840,稻田梗上,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0198594.jpg,,,,,,,,,, +,Indigofera cylindracea,"张永田,郞楷永",3386,19660514,西藏自治区,2200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00276631.jpg,,,,,,,,,, +筒果木蓝,Indigofera cylindracea,Kai Larsen & S S.Larsen,31420,,,600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0176166.jpg,,,,,,,,,, +,Indigofera delavayi,青藏队,11151,19821009,云南省,3000,山坡灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00490948.jpg,,,,,,,,,, +,Indigofera delavayi,青藏队,12545,19830728,四川省,1800~2000,谷坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490946.jpg,,,,,,,,,, +,Indigofera dolichochaete,青藏队,12932,19830817,四川省,1800~2000,谷底灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490953.jpg,,,,,,,,,, +,Indigofera dolichochaete,冯国清,20755,19390623,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490952.jpg,,,,,,,,,, +,Indigofera dolichochaete,方伟,上官法智,魏志丹,3844,20120916,云南省 ,2175,路边杂灌丛,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1228520.jpg,,,,,,,,,, +,Indigofera dumetorum,青藏队,13379,19830825,四川省,1900~2000,田正大队雅奢江边灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00490957.jpg,,,,,,,,,, +,Indigofera dumetorum,G.Forrest,12494,19140000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00276831.jpg,,,,,,,,,, +黄花木蓝,Indigofera dumetorum,,12923,,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0176097.jpg,,,,,,,,,, +灰色木蓝,Indigofera franchetii,"朱鑫鑫, 林庶, 胡梦杰",ZXX191184,20190910,云南,2318,亚热带针阔混交林,山坡路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1485772.jpg,,,,,,,,,, +,Indigofera franchetii,"Delavay, J.M.",519,1882-8,,,,,,https://image.cvh.ac.cn/files/l/P/P02958965.jpg,,,,,,,,,, +,Indigofera hancockii,780植被组,611,19781125,云南省,2100,山坡 林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01486028.jpg,,,,,,,,,, +,Indigofera hancockii,青藏队,13631,19830904,四川省,2300,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490969.jpg,,,,,,,,,, +,Indigofera hebepetala,西藏队植被组,4804,19750628,西藏自治区,2350,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01538523.jpg,,,,,,,,,, +,Indigofera hebepetala,高信芬,焦瑞芳,夏晨曦,GAOXF-17544,20200809,西藏,2725,,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0264167.jpg,,,,,,,,,, +,Indigofera hendecaphylla,黄连山科研所,HLS0464,20121214,云南,,次生林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1322960.jpg,,,,,,,,,, +穗序木蓝,Indigofera hendecaphylla,毛品一,6696,19551014,云南省,760~930,山谷 路旁 向阴 润湿,草本平卧,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0195439.jpg,,,,,,,,,, +十一叶木蓝,Indigofera hendecaphylla,,81534,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/019421.jpg,,,,,,,,,, +,Indigofera henryi,T.T.Yü,17856,19481004,云南省,2350,grassy slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00276998.jpg,,,,,,,,,, +,Indigofera henryi,钟补勤,1751,19290900,贵州省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00276981.jpg,,,,,,,,,, +,Indigofera henryi,T.T.Yü,3941,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00276978.jpg,,,,,,,,,, +,Indigofera heterantha,西藏中草药普查队,1418,19720823,西藏自治区,2300,山麓,,无花有果,https://image.cvh.ac.cn/files/l/PE/01538522.jpg,,,,,,,,,, +,Indigofera heterantha,B.Bartholomew,1590,19840508,,1800,Steep cliffs on the E side of the canyon.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00277011.jpg,,,,,,,,,, +,Indigofera lenticellata,青藏队植被组,8525,19760624,西藏自治区,2670,澜沦江边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538534.jpg,,,,,,,,,, +,Indigofera lenticellata,青藏队植被组,8337,19760609,云南省,2150,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538535.jpg,,,,,,,,,, +,Indigofera linifolia,M.Iabbe Delavay,s.n.,18880910,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01499343.jpg,,,,,,,,,, +,Indigofera linifolia,"金效华,王利松,刘恩德,张钢民",666,20020927,四川省,1100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00772150.jpg,,,,,,,,,, +,Indigofera mairei,D.E.Boufford et al.,37523,20070508,甘肃省,650~870,Heavily disturbed mixed deciduous forest-mostly economically important trees remaining,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804389.jpg,,,,,,,,,, +,Indigofera mairei,PE西藏考察队,7984,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334222.jpg,,,,,,,,,, +西南木蓝,Indigofera mairei,蒋英、王孝,16187,19390300,云南省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0170244.jpg,,,,,,,,,, +,Indigofera muliensis,T.T.Yu,6154,19370612,四川省,3200,among thickets,shrub,有花无果,https://image.cvh.ac.cn/files/l/PE/01432536.jpg,,,,,,,,,, +,Indigofera muliensis,T.T.Yü,5337,19370509,云南省,2650,among thickets,shrub,有花无果,https://image.cvh.ac.cn/files/l/PE/00277477.jpg,,,,,,,,,, +,Indigofera myosurus,西师生物系,11789,19760615,四川省,2300,灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/00491031.jpg,,,,,,,,,, +,Indigofera myosurus,植物研究所昆明工作站,1339,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00277429.jpg,,,,,,,,,, +,Indigofera neosericopetala,胡君、李丽、罗垚、蒋洪,SC-a-172-B02,20190915,四川,3357,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261244.jpg,,,,,,,,,, +,Indigofera nigrescens,北京队,893295,19891115,广西壮族自治区,,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996805.jpg,,,,,,,,,, +,Indigofera nigrescens,陶国达,7178,19740100,云南省,,疏林干燥,,无花有果,https://image.cvh.ac.cn/files/l/PE/01710278.jpg,,,,,,,,,, +,Indigofera nigrescens,陈伟烈,15031,19800911,西藏自治区,800,林缘草地中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01495249.jpg,,,,,,,,,, +,Indigofera pendula,青藏队,178,19810530,云南省,2880,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00491065.jpg,,,,,,,,,, +,Indigofera pendula,T.T.Yü,6183,19370613,四川省,3300,Open situation in pine forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00491050.jpg,,,,,,,,,, +,Indigofera reticulata,青藏队植被组,2540,19740809,西藏自治区,,河谷旁路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538802.jpg,,,,,,,,,, +,Indigofera reticulata,"张正华,田效文,汤宗孝",414,19810618,云南省,2070,路旁低山丘陵云杉云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01140421.jpg,,,,,,,,,, +,Indigofera reticulata,"汤宗孝,田效文,孙庆国",22,19820601,四川省,1660,疏林草场山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01140394.jpg,,,,,,,,,, +,Indigofera rigioclada,PE西藏队,PE6205,20170910,西藏自治区,2488~2994,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309791.jpg,,,,,,,,,, +,Indigofera rigioclada,236任务组,142,19720728,四川省,800,河谷 山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01534942.jpg,,,,,,,,,, +,Indigofera rigioclada,北京所横断山队,3358,19810821,云南省,2400~2900,干热河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00491100.jpg,,,,,,,,,, +,Indigofera scabrida,G.Forrest,12768,19140700,云南省,3333~3667,Open situations amongst rocks on the N.W.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00491124.jpg,,,,,,,,,, +,Indigofera scabrida,T.T.Yü,6674,19370701,四川省,,Under pine forest soil sunny et dry shrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/00491120.jpg,,,,,,,,,, +,Indigofera scabrida,,6314,19100800,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00415945.jpg,,,,,,,,,, +,Indigofera sensitiva,"田效文,汤宗孝,张正华",156,19810601,云南省,2250,低山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01140420.jpg,,,,,,,,,, +,Indigofera sensitiva,,12441,19380919,湖南省,,under shrub,,无花有果,https://image.cvh.ac.cn/files/l/PE/00178151.jpg,,,,,,,,,, +,Indigofera silvestrii,北京所横断山队,1121,19810625,云南省,,澜沦江干热河谷 常见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486019.jpg,,,,,,,,,, +,Indigofera silvestrii,汤宗孝,1656,19830808,四川省,1650,干旱河谷山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01140397.jpg,,,,,,,,,, +茸毛木蓝,Indigofera stachyodes,"徐洲锋,赵旻骏,李富贵,上官法智",3809,20120615,云南省,1305,in secondary forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309102.jpg,,,,,,,,,, +茸毛木蓝,Indigofera stachyodes,青藏队植被组,4570,19750715,西藏自治区,1850~2400,河谷 山坡阳处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01538801.jpg,,,,,,,,,, +,Indigofera szechuensis,D.E.Boufford et al.,35618,20060801,四川省,3360~3410,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879535.jpg,,,,,,,,,, +,Indigofera szechuensis,青藏队植被组,8951,19760706,西藏自治区,3380,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538526.jpg,,,,,,,,,, +,Indigofera szechuensis,北京所横断山队,3358,19810821,云南省,2400~2900,干热河谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01486025.jpg,,,,,,,,,, +腾冲木蓝,Indigofera tenyuehensis,第二小队,9,19530916,云南,960,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2009440.jpg,,,,,,,,,, +藏瓜,Indofevillea khasiana,"程树志,李渤生",4142,19730420,西藏自治区,650,常绿阔叶林内缠绕,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671060.jpg,,,,,,,,,, +藏瓜,Indofevillea khasiana,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11958,20161117,西藏,1059,林缘树上,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445138.jpg,,,,,,,,,, +,Inula helianthus-aquatilis,三峡考察队,2888,20090830,重庆市,1332~1500,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018036.jpg,,,,,,,,,, +,Inula helianthus-aquatilis,尹志坚等,980,20090712,云南省,2100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885398.jpg,,,,,,,,,, +水朝阳旋覆花,Inula helianthus-aquatilis,"蔡杰, 秦少发",15CS11357,20150923,云南,1906,农田边灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445001.jpg,,,,,,,,,, +锈毛旋覆花,Inula hookeri,FLPH Tibet Expedition,12-1652,20120919,西藏自治区,3498,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01968154.jpg,,,,,,,,,, +锈毛旋覆花,Inula hookeri,Gaoligong Shan Biodiversity Survey,32873,20060901,云南省,2880,Growing above fast flowing creek,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671609.jpg,,,,,,,,,, +旋覆花,Inula japonica,"张彩飞,穆光丽",3090,20111021,北京市,,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247669.jpg,,,,,,,,,, +旋覆花,Inula japonica,张彩飞,2170,20091028,浙江省,524,田坎上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247546.jpg,,,,,,,,,, +总状土木香,Inula racemosa,"李安仁,朱家楠",10406,19590516,新疆维吾尔自治区,1360,山坡阴处草地中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844864.jpg,,,,,,,,,, +总状土木香,Inula racemosa,鄂神农架植考队,11670,19760827,湖北省,1800,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/01039805.jpg,,,,,,,,,, +总状土木香,Inula racemosa,,11115,19570817,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00596430.jpg,,,,,,,,,, +羊眼花,Inula rhizocephala,"陈又生,袁慊",141518,20140814,新疆维吾尔自治区,2880,灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084514.jpg,,,,,,,,,, +羊眼花,Inula rhizocephala,L.Ivanina et al.,384,19780704,,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885608.jpg,,,,,,,,,, +蓼子朴,Inula salsoloides,Prof. SY Hu,19530,19840723,宁夏回族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111033.jpg,,,,,,,,,, +蓼子朴,Inula salsoloides,陈又生等,140863,20140724,内蒙古自治区,1228,沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034667.jpg,,,,,,,,,, +蓼子朴,Inula salsoloides,,陕055,19870723,陕西省,950,荒土丘陵沟谷阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836272.jpg,,,,,,,,,, +绢叶旋覆花,Inula sericophylla,王汉臣,930,19410600,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00596597.jpg,,,,,,,,,, +绢叶旋覆花,Inula sericophylla,C.W.Wang,63501,19350529,云南省 ,2540,flat slope,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00492579.jpg,,,,,,,,,, +,Inula sericophylla,彭玉兰、余奇、李林霖,THP-KD-1401,20170617,四川省,3768~4150,新兴村矿场,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252916.jpg,,,,,,,,,, +微花藤,Iodes cirrhosa,C.W.Wang,88333,19400411,云南省,700,limestone chiff,,有花有果,https://image.cvh.ac.cn/files/l/PE/02228809.jpg,,,,,,,,,, +微花藤,Iodes cirrhosa,中植联广西队,2800,20080811,广西壮族自治区,500,山腰,,有花有果,https://image.cvh.ac.cn/files/l/PE/02228805.jpg,,,,,,,,,, +山慈菇,Iphigenia indica,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1108,20130813,西藏自治区,2523,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000351.jpg,,,,,,,,,, +山慈菇,Iphigenia indica,杨永等,352,20100715,四川省,2246,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01945349.jpg,,,,,,,,,, +山慈菇,Iphigenia indica,北京所横断山队,1903,19810723,云南省,2100,残造 常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538143.jpg,,,,,,,,,, +纤细五爪金龙,Ipomoea cairica var. gracillima,中甸队,1249,19620818,云南省,1710,砾石草坡上缠绕,,有花无果,https://image.cvh.ac.cn/files/l/PE/01142323.jpg,,,,,,,,,, +纤细五爪金龙,Ipomoea cairica var. gracillima,刘慎谔,21647,19461016,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0553240.jpg,,,,,,,,,, +毛果薯,Ipomoea eriocarpa,秦仁昌,50985,19520000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01142352.jpg,,,,,,,,,, +毛果薯,Ipomoea eriocarpa,王启无,81433,19400904,云南省 ,1300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0553288.jpg,,,,,,,,,, +毛果薯,Ipomoea eriocarpa,S.L.Everist,5315,19540417,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0553285.jpg,,,,,,,,,, +粗毛薯藤,Ipomoea hirtifolia,"李渤生,李辉,阳艺",13245,19900830,西藏自治区,2000,干旱河谷阶地灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196346.jpg,,,,,,,,,, +西南鸢尾,Iris bulleyana,谭仲明,93-13,19930710,四川省,3500,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307996.jpg,,,,,,,,,, +西南鸢尾,Iris bulleyana,"汤宗孝,田效文,张正华",529,19810703,云南省,3730,石质山地灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238699.jpg,,,,,,,,,, +金脉鸢尾,Iris chrysographes,"李渤生,程树志",5577,19830719,西藏自治区,3600,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098420.jpg,,,,,,,,,, +金脉鸢尾,Iris chrysographes,Richard R.Halse,7178,20070528,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849096.jpg,,,,,,,,,, +金脉鸢尾,Iris chrysographes,北京所横断山队,2959,19810811,云南省,3600~3700,冷杉林内 亚高山草甸中建群种之一,,有花无果,https://image.cvh.ac.cn/files/l/PE/01479450.jpg,,,,,,,,,, +西藏鸢尾,Iris clarkei,青藏队,2506,19740914,西藏自治区,3980,山坡灌丛林中湿润处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00987719.jpg,,,,,,,,,, +西藏鸢尾,Iris clarkei,M.Wakabayashi etc.,9730377,19970828,,3870,on damp meadows,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261284.jpg,,,,,,,,,, +西藏鸢尾,Iris clarkei,李国栋,陈建国,陈林杨,彭德力,陆覃昱,SunH-07ZX-2285,20090917,云南,3129,林下路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393133.jpg,,,,,,,,,, +高原鸢尾,Iris collettii,彭基泰,2156,19830628,四川省,3500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238503.jpg,,,,,,,,,, +高原鸢尾,Iris collettii,仲轶 权旭,zy0100,20090720,云南省,3200,草坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238504.jpg,,,,,,,,,, +扁竹兰,Iris confusa,"严岳鸿,彭发军",5927,20080425,湖南省,1400,山地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238648.jpg,,,,,,,,,, +扁竹兰,Iris confusa,"元宝山综合考察队(刘演,覃海宁,于胜祥等)",Y1063,20050513,广西壮族自治区,1800,山坡密林黑灰壤,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238649.jpg,,,,,,,,,, +扁竹兰,Iris confusa,贵州梵净山队,553,19630701,贵州省,840,山脚路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238646.jpg,,,,,,,,,, +大锐果鸢尾,Iris cuniculiformis,沈云光,30508,20030603,云南省,3330,路边,山坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0360302.jpg,,,,,,,,,, +大锐果鸢尾,Iris cuniculiformis,王辰,,20060802,四川省,,,,,https://image.cvh.ac.cn/files/l/BNU/0023201.jpg,,,,,,,,,, +,Iris cuniculiformis,"Kunming, Edinburgh, Gothenburg Expedition (1993)",1205,12-Jun-93,,,,,,https://image.cvh.ac.cn/files/l/E/E00003182.jpg,,,,,,,,,, +尼泊尔鸢尾,Iris decora,PE西藏考察队,7150,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333123.jpg,,,,,,,,,, +尼泊尔鸢尾,Iris decora,林秦文,2013-238,20130602,云南省,2300,寺庙边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02065913.jpg,,,,,,,,,, +尼泊尔鸢尾,Iris decora,青藏队横断山队,4207,19810824,四川省,3300,山坡 高山松林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01146677.jpg,,,,,,,,,, +长葶鸢尾,Iris delavayi,PE西藏考察队,7448,20180617,西藏自治区,2808,山坡、林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332479.jpg,,,,,,,,,, +长葶鸢尾,Iris delavayi,青藏队,13010,19830819,四川省,3400,山沟湿润草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01146672.jpg,,,,,,,,,, +野鸢尾,Iris dichotoma,锡,73-27,19730824,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238679.jpg,,,,,,,,,, +野鸢尾,Iris dichotoma,马成功等五人,496,19820727,河南省,1050,沟谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238680.jpg,,,,,,,,,, +玉蝉花,Iris ensata,张会金等,118(2005-2982),20050831,新疆维吾尔自治区,1971,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238556.jpg,,,,,,,,,, +玉蝉花,Iris ensata,何廷农,575,19890713,青海省,1850,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238552.jpg,,,,,,,,,, +玉蝉花,Iris ensata,杨喜林等,119,19620621,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238553.jpg,,,,,,,,,, +云南鸢尾,Iris forrestii,青藏队,11801,19830707,四川省,3000~3300,云南松 高山栎林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01146679.jpg,,,,,,,,,, +云南鸢尾,Iris forrestii,G.Forrest,6028,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01012551.jpg,,,,,,,,,, +锐果鸢尾,Iris goniocarpa,PE西藏考察队,7408,20180616,西藏自治区,3635,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332940.jpg,,,,,,,,,, +锐果鸢尾,Iris goniocarpa,仲轶 权旭,zy0098,20090720,云南省,3300,草坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238514.jpg,,,,,,,,,, +锐果鸢尾,Iris goniocarpa,仲轶 孙海陆,zy0025,20080907,四川省,3340,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238513.jpg,,,,,,,,,, +喜盐鸢尾 (原变种),Iris halophila var. halophila,亚吉东,张桥蓉,胡枭剑,17CS16287,20170628,新疆,2106,山坡草丛中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1434570.jpg,,,,,,,,,, +蓝花喜盐鸢尾,Iris halophila var. sogdiana,关克俭,关809,19570611,新疆维吾尔自治区,,荒地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01012363.jpg,,,,,,,,,, +蓝花喜盐鸢尾,Iris halophila var. sogdiana,白宝伟,段黄金,TD-01865,20070828,新疆,1683,林中,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393186.jpg,,,,,,,,,, +蓝花喜盐鸢尾,Iris halophila var. sogdiana,路端正,无,19970500,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00000533.jpg,,,,,,,,,, +库门鸢尾,Iris kemaonensis,西藏中草药普查队,633,19720627,西藏自治区,4300,山沟坡脉,,有花无果,https://image.cvh.ac.cn/files/l/PE/01521043.jpg,,,,,,,,,, +库门鸢尾,Iris kemaonensis,青藏队,12283,19830722,四川省,4000,山坡 岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01146695.jpg,,,,,,,,,, +宽柱鸢尾,Iris latistyla,"唐宇丹,林秦文",2010-155,20100926,西藏自治区,2896,南北向沟谷西坡、沙土和腐殖土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039241.jpg,,,,,,,,,, +宽柱鸢尾,Iris latistyla,朱鑫鑫;王君;王美华;林庶;许敏;多吉;尼玛顿珠,ZXX201404,20200801,西藏,2429,岩壁上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1508687.jpg,,,,,,,,,, +薄叶鸢尾,Iris leptophylla,F.T.Wang,21317,19300000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01012968.jpg,,,,,,,,,, +薄叶鸢尾,Iris leptophylla,王作宾,19065,19640427,甘肃省,1000,山坡,背阴处,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0360434.jpg,,,,,,,,,, +天山鸢尾,Iris loczyi,PE西藏考察队,7268,20180615,西藏自治区,4458,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332322.jpg,,,,,,,,,, +天山鸢尾,Iris loczyi,开荒队,18,19660603,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238476.jpg,,,,,,,,,, +天山鸢尾,Iris loczyi,新准,120,19590510,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238477.jpg,,,,,,,,,, +红花鸢尾,Iris milesii,姜恕等,8178,19600415,云南省,2300,山坡林下半阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01013029.jpg,,,,,,,,,, +红花鸢尾,Iris milesii,俞德浚,19106,19380616,云南省 ,2000,margin of thickets,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0360442.jpg,,,,,,,,,, +水仙花鸢尾,Iris narcissiflora,"胡文光,何铸",10731,19510811,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01013032.jpg,,,,,,,,,, +水仙花鸢尾,Iris narcissiflora,胡文光,何铸,10731,1951/8/10,四川,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0305318.jpg,,,,,,,,,, +多斑鸢尾,Iris polysticta,"张树仁,陈淑荣,朗校安等",2159,20140621,四川省,1901~2400,路边 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021793.jpg,,,,,,,,,, +多斑鸢尾,Iris polysticta,青藏队植被组,8495,19760621,西藏自治区,3820,田边乱石堆中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803400.jpg,,,,,,,,,, +蓝花卷鞘鸢尾,Iris potaninii var. ionantha,郭柯,k-32,19900618,青海省,4580,沙质地高寒草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048961.jpg,,,,,,,,,, +蓝花卷鞘鸢尾,Iris potaninii var. ionantha,青藏队植被组,6433,19750606,西藏自治区,4300,谷地砂砾滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803385.jpg,,,,,,,,,, +,Iris qinghainica,仲轶 孙海陆,zy0019,20080825,青海省,3200,湖边草滩上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238501.jpg,,,,,,,,,, +青海鸢尾,Iris qinghainica,Y.C.Wu,198,,,,border,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00555394.jpg,,,,,,,,,, +紫苞鸢尾,Iris ruthenica,Harry Smith,8078,19250510,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238511.jpg,,,,,,,,,, +紫苞鸢尾,Iris ruthenica,段俊喜,96,19560622,河北省,2025,北坡陡疏林草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238498.jpg,,,,,,,,,, +紫苞鸢尾,Iris ruthenica,"王忠涛,马欣堂等",130,19860516,北京市,1050,山坡杂草中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238496.jpg,,,,,,,,,, +膜苞鸢尾,Iris scariosa,周太炎等,650119,19650428,新疆维吾尔自治区,1300,山坡苹果林下向阳空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01013385.jpg,,,,,,,,,, +膜苞鸢尾,Iris scariosa,朱格鳞等,5939,1964/8/5,新疆,1100,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0232908.jpg,,,,,,,,,, +膜苞鸢尾,Iris scariosa,,650119,19650428,新疆维吾尔自治区 ,1300,山坡苹果林下向阳空地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00555345.jpg,,,,,,,,,, +准噶尔鸢尾,Iris songarica,吉林师大地理系,1468,19610821,四川省,3900,阳处山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01013440.jpg,,,,,,,,,, +准噶尔鸢尾,Iris songarica,Ho Ting-nung et al.,871,19930806,青海省,3870,Amongst bushes on sides,,无花有果,https://image.cvh.ac.cn/files/l/PE/01013433.jpg,,,,,,,,,, +准噶尔鸢尾,Iris songarica,J.F.Rock.,13623,19250900,甘肃省,4000,Plant,,无花有果,https://image.cvh.ac.cn/files/l/PE/01013425.jpg,,,,,,,,,, +中甸鸢尾,Iris subdichotoma,仲轶 权旭,zy0102,20090721,云南省,2000,乡间路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238522.jpg,,,,,,,,,, +中甸鸢尾,Iris subdichotoma,字建泽,李国宏,李施文,张志云,杨正坤,TC1005,20110727,云南,2593,湖边湿地,草本,,https://image.cvh.ac.cn/files/l/KUN/1393286.jpg,,,,,,,,,, +鸢尾,Iris tectorum,仲轶 孙海陆,zy0005,20080808,陕西省,1100,山腰岩石边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238820.jpg,,,,,,,,,, +鸢尾,Iris tectorum,周世良,90524,20090516,四川省,2663,山坡开阔地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238819.jpg,,,,,,,,,, +鸢尾,Iris tectorum,王丛荣,402,19930724,湖北省,1500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238817.jpg,,,,,,,,,, +扇形鸢尾,Iris wattii,M.K.Li,2888,19390000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01013864.jpg,,,,,,,,,, +扇形鸢尾,Iris wattii,管中天,9473,19590713,四川省,1250,常绿阔叶林采伐后次生灌丛山坡中部至下部,,无花有果,https://image.cvh.ac.cn/files/l/PE/01013840.jpg,,,,,,,,,, +黄花鸢尾,Iris wilsonii,傅坤俊,17528,19770614,陕西省,1700,山坡水沟旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238520.jpg,,,,,,,,,, +黄花鸢尾,Iris wilsonii,北京植物所横断山队,1680,19810719,云南省,3500~3600,亚高山草甸蓝花Iris 草甸中偏见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01479456.jpg,,,,,,,,,, +黄花鸢尾,Iris wilsonii,青藏队,12235,19830721,四川省,3800,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01146710.jpg,,,,,,,,,, +白花柳叶箬,Isachne albens,"陈观斌,黄建益,刘建华",21,20091110,台湾省,1700,"At trailside,semiexposed,wet,locally abundant.",,有花无果,https://image.cvh.ac.cn/files/l/PE/02089447.jpg,,,,,,,,,, +白花柳叶箬,Isachne albens,"尹志坚,王泽欢,陈丽",1901,20090909,云南省,2300,roadsides forest margins,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089296.jpg,,,,,,,,,, +白花柳叶箬,Isachne albens,川黔队,562,19560607,重庆市,,水沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049108.jpg,,,,,,,,,, +,Isachne clarkei,"Liu Yanchun,Tang Ying",402,20100915,云南省,2739,in the forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088649.jpg,,,,,,,,,, +,Isachne clarkei,陈伟烈,14246,19800812,西藏自治区,1550,沼泽边缘草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01400793.jpg,,,,,,,,,, +柳叶箬,Isachne globosa,戴胜贤,1932,20070125,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088448.jpg,,,,,,,,,, +柳叶箬,Isachne globosa,"安明态,吴华丽",5156,20030630,贵州省,1200,水沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01951014.jpg,,,,,,,,,, +柳叶箬,Isachne globosa,高峰林,87-1995,19870825,四川省,700,河埂有水外,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929977.jpg,,,,,,,,,, +,Isachne himalaica,张经炜,958,19730804,西藏自治区,2100,河滩阶地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546409.jpg,,,,,,,,,, +,Isachne scabrosa,生态室高原组,11401,19800727,西藏自治区,1800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546442.jpg,,,,,,,,,, +糙柳叶箬,Isachne scabrosa,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201164,20200723,西藏,2382,岩坡上,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507223.jpg,,,,,,,,,, +,Isachne sikkimensis,青藏队补点队,751774,19750828,西藏自治区,2600,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546445.jpg,,,,,,,,,, +锡金柳叶箬,Isachne sikkimensis,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201279,20200726,西藏,2335,岩坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505555.jpg,,,,,,,,,, +田间鸭嘴草,Ischaemum rugosum,王印政等,4577,19981022,云南省,520,山地田间,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802262.jpg,,,,,,,,,, +田间鸭嘴草,Ischaemum rugosum,R.O.Belcher,354,19450913,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01674577.jpg,,,,,,,,,, +瘦房兰,Ischnogyne mandarinorum,曲桂龄,3060,19360702,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0636303.jpg,,,,,,,,,, +瘦房兰,Ischnogyne mandarinorum,邓世纬,60288,19360509,贵州省,0,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0636302.jpg,,,,,,,,,, +,Isodon adenanthus,"刘恩德,上官法智,马文章等",4598,20150827,云南省,2165,under forset,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114968.jpg,,,,,,,,,, +腺脉香茶菜,Isodon adenanthus,刘恩德,王泽欢,侬鑫,2839,20110723,四川省,2218,on the grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252338.jpg,,,,,,,,,, +腺叶香茶菜,Isodon adenolomus,鞠文彬,郑臣臣,THP-KD-6755,20170818,四川,3629,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241483.jpg,,,,,,,,,, +腺叶香茶菜,Isodon adenolomus,宋鼎;张桥蓉;赵国放;张辽;杨斌,CN431,20190806,云南,1682,山坡林中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1553036.jpg,,,,,,,,,, +白柔毛香茶菜,Isodon albopilosus,刘恩德,王泽欢,侬鑫,3069,20110807,甘肃省,1680,Among the shrubs,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252339.jpg,,,,,,,,,, +白柔毛香茶菜,Isodon albopilosus,赵飞,ZF2015044,20150722,陕西省,700,roadside,,,https://image.cvh.ac.cn/files/l/KUN/1278955.jpg,,,,,,,,,, +无毛狭叶香茶菜,Isodon angustifolius var. glabrescens,伍凯 郝加琛,YN174-1,20130811,云南省,2600,林下草丛,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0039703.jpg,,,,,,,,,, +线齿香茶菜,Isodon barbeyanus,"洪德元,潘开玉,王强",H12069,20120903,四川省,3200,山坡草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908087.jpg,,,,,,,,,, +,Isodon barbeyanus,胡君、李丽、罗垚、蒋洪,SC-a-180-B07,20190917,四川,3152,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262855.jpg,,,,,,,,,, +,Isodon bulleyanus,FLPH Sichuan Expedition,151520,20150828,四川省,3280,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328371.jpg,,,,,,,,,, +苍山香茶菜,Isodon bulleyanus,"董洪进,王泽欢,胡国雄,李珍",D402,20110914,云南省,2800,无,,,https://image.cvh.ac.cn/files/l/KUN/1279020.jpg,,,,,,,,,, +,Isodon calcicolus var. calcicolus,M.Iabbe Delavay,,18870000,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1251774.jpg,,,,,,,,,, +多毛细锥香茶菜,Isodon coetsa var. cavaleriei,"陈亚萍,赵倩茹",EM241,20151014,云南省,0,Roadside,,,https://image.cvh.ac.cn/files/l/KUN/1278914.jpg,,,,,,,,,, +多毛细锥香茶菜,Isodon coetsa var. cavaleriei,魏升华,,20030708,贵州,1020,路边,亚灌木,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0072648.jpg,,,,,,,,,, +,Isodon coetsa var. cavaleriei,"Maire, Edouard-Ernest",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00296440.jpg,,,,,,,,,, +,Isodon coetsa var. coetsa,胡国雄,张宪春,付志玺,1209010,20120904,西藏自治区,2527,under the foreste,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252498.jpg,,,,,,,,,, +道孚香茶菜,Isodon dawoensis,"刘恩德,王泽欢,侬鑫",3226,20110816,四川省,3146,On the dry slope,,,https://image.cvh.ac.cn/files/l/KUN/1279047.jpg,,,,,,,,,, +道孚香茶菜,Isodon dawoensis,,27449,,,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0097069.jpg,,,,,,,,,, +道孚香茶菜,Isodon dawoensis,余奇,郑臣臣,苏翠萍,胡苏,CIBYQ018B005,20180812,四川,3007,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1501680.jpg,,,,,,,,,, +毛萼香茶菜,Isodon eriocalyx,任再金,人3908,19931016,四川省,2100,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689605.jpg,,,,,,,,,, +毛萼香茶菜,Isodon eriocalyx,董洪进,王泽欢,胡国雄,李珍,D563,20110918,云南省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252501.jpg,,,,,,,,,, +毛萼香茶菜,Isodon eriocalyx,M.Iabbe Delavay,,18830920,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220646.jpg,,,,,,,,,, +拟缺香茶菜,Isodon excisoides,刘正宇,181660,20071107,重庆市,750,溪边林缘草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02328350.jpg,,,,,,,,,, +拟缺香茶菜,Isodon excisoides,FLPH Sichuan Expedition,152184,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328347.jpg,,,,,,,,,, +扇脉香茶菜,Isodon flabelliformis,PE西藏队,PE6190,20170910,西藏自治区,2488~2994,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331103.jpg,,,,,,,,,, +扇脉香茶菜,Isodon flabelliformis,FLPH Sichuan Expedition,151515,20150828,四川省,3280,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328044.jpg,,,,,,,,,, +扇脉香茶菜,Isodon flabelliformis,M.Iabbe Delavay,4205,18891010,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1251777.jpg,,,,,,,,,, +,Isodon flavidus,FLPH Sichuan Expedition,,20150825,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328355.jpg,,,,,,,,,, +淡黄香茶菜,Isodon flavidus,刘恩德,侬鑫,2027,20081002,云南省,2360,"in thickets along rocky slope,humid",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252318.jpg,,,,,,,,,, +柔茎香茶菜,Isodon flexicaulis,D.E.Boufford et al,34125,20050804,四川省,3280~3485,in sun and shade along stream.,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883884.jpg,,,,,,,,,, +,Isodon forrestii,FLPH Sichuan Expedition,151517,20150828,四川省,3280,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328365.jpg,,,,,,,,,, +,Isodon forrestii,康藏植物考察队(Kham Expedition),10-3278,20100903,云南省,3650,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01875720.jpg,,,,,,,,,, +,Isodon gesneroides,"Kingdon-Ward, Francis",4942,8-Sep-21,,,,,,https://image.cvh.ac.cn/files/l/E/E00275825.jpg,,,,,,,,,, +,Isodon glutinosus,FLPH Sichuan Expedition,151965,20150901,四川省,2200,干热河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328354.jpg,,,,,,,,,, +胶粘香茶菜,Isodon glutinosus,张挺,郭永杰,吴之坤,姜虹,李贵能,16CS13638,20160827,四川,2189,水洛河谷山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435865.jpg,,,,,,,,,, +鄂西香茶菜,Isodon henryi,Eric Harris with Jian Zaiyou,1160,20091105,河南省,272,in disturbed bamboo forest near dried river bed,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037092.jpg,,,,,,,,,, +鄂西香茶菜,Isodon henryi,白水江考察队,1162,20060705,甘肃省,1400,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880129.jpg,,,,,,,,,, +鄂西香茶菜,Isodon henryi,蔡杰,张挺,刘成等,10CS2337,20100917,陕西,1140,针阔混交林林缘山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1388296.jpg,,,,,,,,,, +露珠香茶菜,Isodon irroratus,"陈亚萍,Rebecca L. Stubbs",EM208,20150705,云南省,3400,Among the shrub,,,https://image.cvh.ac.cn/files/l/KUN/1278715.jpg,,,,,,,,,, +,Isodon irroratus,"Forrest, George",2507,6-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00275828.jpg,,,,,,,,,, +露珠香茶菜,Isodon irroratus,张挺,郭永杰,吴之坤,姜虹,李贵能,16CS12640,20160820,四川,3153,公路边岩石,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1439439.jpg,,,,,,,,,, +,Isodon japonicus,"刘静,袁明",MY-119,20070511,四川省,1885,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913453.jpg,,,,,,,,,, +毛叶香茶菜,Isodon japonicus,"陈亚萍,赵倩茹",EM003,20140815,山西省,990,路边,,,https://image.cvh.ac.cn/files/l/KUN/1278714.jpg,,,,,,,,,, +毛叶香茶菜,Isodon japonicus,S. Saito,2941,19281030,,,无,,,https://image.cvh.ac.cn/files/l/KUN/1285102.jpg,,,,,,,,,, +,Isodon leucophyllus,FLPH Sichuan Expedition,152709,20150911,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02284568.jpg,,,,,,,,,, +,Isodon leucophyllus,PLPH Tibet expedition,12-1109,,西藏自治区,,河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011021.jpg,,,,,,,,,, +,Isodon lophanthoides var. gerardianus,PE西藏队,PE6243,20170910,西藏自治区,2488~3062,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330972.jpg,,,,,,,,,, +,Isodon lophanthoides var. gerardianus,赵佐成,3311,19931015,四川省,1900,阳处地边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010123.jpg,,,,,,,,,, +,Isodon lophanthoides var. lophanthoides,刘恩德等,427,20031108,云南省,2530,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920611.jpg,,,,,,,,,, +,Isodon lophanthoides var. lophanthoides,"李振宇,闫丽春,农必明等",1545,19981025,广西壮族自治区,850,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00923681.jpg,,,,,,,,,, +,Isodon lophanthoides var. lophanthoides,M.Bons danty,,18980719,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1251775.jpg,,,,,,,,,, +,Isodon megathyrsus var. megathyrsus,尹志坚等,2259,20090916,云南省,2950,forest margins,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252508.jpg,,,,,,,,,, +,Isodon megathyrsus var. megathyrsus,"Forrest, George",897,5-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00275812.jpg,,,,,,,,,, +木里香茶菜,Isodon muliensis,方伟,向春雷,胡国雄,FW11081,20110728,四川省,3700,Under the forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252433.jpg,,,,,,,,,, +,Isodon muliensis,"Forrest, George",17000,18-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00275813.jpg,,,,,,,,,, +,Isodon muliensis,王乾、顾健,SCW1424,20200624,四川,3582,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274762.jpg,,,,,,,,,, +山地香茶菜,Isodon oresbius,,,20110918,云南省,1900,On the grassy slope,,,https://image.cvh.ac.cn/files/l/KUN/1279217.jpg,,,,,,,,,, +,Isodon oresbius,"Forrest, George",11154,13-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00275804.jpg,,,,,,,,,, +,Isodon pantadenius,"Handel-Mazzetti, Heinrich",8403,24-Sep-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00275806.jpg,,,,,,,,,, +,Isodon parvifolius,FLPH Tibet Expedition,12-1109,,西藏自治区,,河谷灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/02328382.jpg,,,,,,,,,, +,Isodon parvifolius,康藏植物考察队(Kham Expedition),10-0104,20100819,云南省,2880,河谷山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01875794.jpg,,,,,,,,,, +川藏香茶菜,Isodon pharicus,PE西藏队,PE5639,20170902,西藏自治区,4556,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331064.jpg,,,,,,,,,, +川藏香茶菜,Isodon pharicus,赵佐成,5089,19931028,四川省,2240,阳处山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010113.jpg,,,,,,,,,, +叶柄香茶菜,Isodon phyllopodus,王强,13046,20131023,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328035.jpg,,,,,,,,,, +叶柄香茶菜,Isodon phyllopodus,"H.Li,S.X.Yang,R.Li etc.",884,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110574.jpg,,,,,,,,,, +叶柄香茶菜,Isodon phyllopodus,M.Iabbe Delavay,,18821003,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1251782.jpg,,,,,,,,,, +叶穗香茶菜,Isodon phyllostachys,FLPH Sichuan Expedition,151834,20150821,四川省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328023.jpg,,,,,,,,,, +叶穗香茶菜,Isodon phyllostachys,"董洪进,王泽欢,胡国雄等",D453,20110916,云南省,2700,grassland,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091307.jpg,,,,,,,,,, +,Isodon pleiophyllus var. pleiophyllus,"Forrest, George",2333,6-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00275809.jpg,,,,,,,,,, +碎米桠,Isodon rubescens,植物所三峡考察队,5,20070915,重庆市,1310~1810,杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328360.jpg,,,,,,,,,, +碎米桠,Isodon rubescens,"董诚明,简在有,刘孟奇",1113,20091031,河南省,255,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111443.jpg,,,,,,,,,, +碎米桠,Isodon rubescens,Eric Harris with Jian Zaiyou,1173,20091107,湖北省,742,up mountain slope very near town of Wufeng on open slope near tea cultivation area along small path near stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037091.jpg,,,,,,,,,, +,Isodon rugosiformis,"Handel-Mazzetti, Heinrich",10016,9-Sep-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00275805.jpg,,,,,,,,,, +,Isodon rugosus,PE西藏队,PE6727,20170916,西藏自治区,3568,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331037.jpg,,,,,,,,,, +,Isodon rugosus,"高天刚,聂宝",GTG8497,20151007,,1131,路边陡壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02286766.jpg,,,,,,,,,, +帚状香茶菜,Isodon scoparius,"刘恩德,向春雷,侬鑫",2710,20100813,云南省,2641,"Roadside,dry slope",,,https://image.cvh.ac.cn/files/l/KUN/1278760.jpg,,,,,,,,,, +宽花香茶菜,Isodon scrophularioides,胡国雄,张宪春,付志玺,1209013,20120904,西藏自治区,2527,under the foreste,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1253405.jpg,,,,,,,,,, +宽花香茶菜,Isodon scrophularioides,张挺,郭永杰,刘成等,10CS2113,20100727,云南,3062,"Growing near stream edge with Rubus, Juncus and Carex.",,,https://image.cvh.ac.cn/files/l/KUN/1388399.jpg,,,,,,,,,, +宽花香茶菜,Isodon scrophularioides,"张挺, 刘成, 亚吉东",18CS17626,20180913,西藏,2675,乔松林下灌草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483683.jpg,,,,,,,,,, +黄花香茶菜,Isodon sculponeatus,FLPH Tibet Expedition,12-1190,,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02328376.jpg,,,,,,,,,, +黄花香茶菜,Isodon sculponeatus,"H.Li,S.X.Yang,R.Li etc.",1109,20021111,云南省,2530,林(中)下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110505.jpg,,,,,,,,,, +侧花香茶菜,Isodon secundiflorus,鲁艳,07-183,20071127,云南,1600,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1388293.jpg,,,,,,,,,, +四川香茶菜,Isodon setschwanensis,FLPH Sichuan Expedition,151513,20150828,四川省,3280,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328381.jpg,,,,,,,,,, +四川香茶菜,Isodon setschwanensis,雷友峰,53,20041122,贵州省,1100,河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883942.jpg,,,,,,,,,, +马尔康香茶菜,Isodon smithianus,"刘恩德,王泽欢,侬鑫",3186,20110813,四川省,2666,Among the shrubs,,,https://image.cvh.ac.cn/files/l/KUN/1278732.jpg,,,,,,,,,, +细叶香茶菜,Isodon tenuifolius,"彭华, 向春雷, 陈丽, 董朝辉, 刘艳春",PengH5733,20071231,云南,850,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444716.jpg,,,,,,,,,, +细叶香茶菜,Isodon tenuifolius,武素功,3155,1959-9 1,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172370.jpg,,,,,,,,,, +细叶香茶菜,Isodon tenuifolius,平果县专业队,3-10171,19771020,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI043466.jpg,,,,,,,,,, +牛尾草,Isodon ternifolius,王功范,1-0965,20031024,贵州省,680,山谷荒地土坎边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01688095.jpg,,,,,,,,,, +牛尾草,Isodon ternifolius,Li-Jianwu,2619,20121029,云南省,1200,on the slope of limestone mountain,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1251864.jpg,,,,,,,,,, +牛尾草,Isodon ternifolius,李永亮等,YDDXS1000,20111201,云南,1501,针阔混交林沟边,半灌木,,https://image.cvh.ac.cn/files/l/KUN/1388416.jpg,,,,,,,,,, +,Isodon wardii,"Kingdon-Ward, Francis",5957,19-Jul-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00275789.jpg,,,,,,,,,, +维西香茶菜,Isodon weisiensis,刘恩德,王泽欢,侬鑫,3343,20110827,云南省,3482,Under the forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252451.jpg,,,,,,,,,, +维西香茶菜,Isodon weisiensis,张挺,刘成,郭永杰等,09CS1383,20090720,云南,3231,Pinus amandii forest,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1388437.jpg,,,,,,,,,, +荛花香茶菜,Isodon wikstroemioides,董洪进,王泽欢,胡国雄,李珍,D603,20110917,云南省,3055,Roadside,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252502.jpg,,,,,,,,,, +荛花香茶菜,Isodon wikstroemioides,"方伟,向春雷,胡国雄",FW11067,20110728,四川省,0,无,,,https://image.cvh.ac.cn/files/l/KUN/1278923.jpg,,,,,,,,,, +不育红,Isodon yuennanensis,"H.Li,S.X.Yang,R.Li etc.",966,20021108,云南省,2520,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091291.jpg,,,,,,,,,, +不育红,Isodon yuennanensis,"洪德元,王强,马祥光",H11047,20120921,四川省,2600,路边灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908071.jpg,,,,,,,,,, +不育红,Isodon yuennanensis,M.Iabbe Delavay,,18830911,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1251787.jpg,,,,,,,,,, +叉序草,Isoglossa collina,覃德海,65319,19911106,广西壮族自治区,850,山谷林下常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01649742.jpg,,,,,,,,,, +叉序草,Isoglossa collina,南岭队,1852,19851020,广东省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0559441.jpg,,,,,,,,,, +叉序草,Isoglossa collina,黄茂先,112371,19640913,湖南省,0~620,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0559464.jpg,,,,,,,,,, +,Isolepis setacea,PE西藏考察队,7487,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333312.jpg,,,,,,,,,, +,Isolepis setacea,J.Chrtek et B.Krisa,,19640929,,450,situ occidentali ab oppido Jindrichuv Hradec,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230119.jpg,,,,,,,,,, +,Isolepis setaceus,西藏中草药普查队,3599,19720710,西藏自治区,3100,水湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01516656.jpg,,,,,,,,,, +,Isolepis setaceus,中甸队,1578,19620828,云南省,,沼泽草甸 溪边丛生,,有花有果,https://image.cvh.ac.cn/files/l/PE/01516625.jpg,,,,,,,,,, +多裂金盏苣苔,Isometrum eximium,冯翠元,FCY2013017,20131020,四川省,3184,路边流水处石壁上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02053568.jpg,,,,,,,,,, +多裂金盏苣苔,Isometrum eximium,郭永杰、亚吉东、苏勇,14CS9430,20140717,云南,2850,次生林下,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1385362.jpg,,,,,,,,,, +多裂金盏苣苔,Isometrum eximium,税玉民等,B2013-648,20131020,四川,3184,山坡灌丛,草本,,https://image.cvh.ac.cn/files/l/KUN/1385363.jpg,,,,,,,,,, +金盏苣苔,Isometrum farreri,覃海宁等,18445,20041213,陕西省,750,河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802765.jpg,,,,,,,,,, +金盏苣苔,Isometrum farreri,傅竟秋,2811,19760905,甘肃省,,山谷岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01558265.jpg,,,,,,,,,, +短檐金盏苣苔,Isometrum glandulosum,刘方谱,lfp2017044,,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02109620.jpg,,,,,,,,,, +短檐金盏苣苔,Isometrum glandulosum,刘方谱,LFP2016006,20160707,甘肃省,1000,溪边石壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02106043.jpg,,,,,,,,,, +短檐金盏苣苔,Isometrum glandulosum,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835182.jpg,,,,,,,,,, +,Isometrum lancifolium var. lancifolium,冯翠元,FCY2013013,20131004,四川省,958,水渠旁岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053068.jpg,,,,,,,,,, +,Isometrum leucanthum,冯翠元,FCY2014071,20140629,湖北省,1100,路边灌木丛下阴湿石壁上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02053066.jpg,,,,,,,,,, +羽裂金盏苣苔,Isometrum primuliflorum,"Q.Wang,K.Yao",99139,19990600,四川省,2300,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115433.jpg,,,,,,,,,, +四川金盏苣苔,Isometrum sichuanicum,"何铸,周子林",13592,19520000,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00154790.jpg,,,,,,,,,, +四川金盏苣苔,Isometrum sichuanicum,茂汶组,1244,19790731,四川,2200,林、阴湿,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717900687.jpg,,,,,,,,,, +扁果草,Isopyrum anemonoides,王忠涛等,26,20070620,新疆维吾尔自治区,1950,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962072.jpg,,,,,,,,,, +扁果草,Isopyrum anemonoides,张耀甲,93006,19930614,甘肃省,2500,沟谷湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604823.jpg,,,,,,,,,, +鼠刺,Itea chinensis,覃海宁 于胜祥 刘博 叶建飞 黄云峰,19541,20080424,广西壮族自治区,757,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112388.jpg,,,,,,,,,, +鼠刺,Itea chinensis,M.Suzuki et al.,98207,19980628,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982607.jpg,,,,,,,,,, +鼠刺,Itea chinensis,邓良,6583,19580626,广东省,1250~800,山地,路旁,水旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01869691.jpg,,,,,,,,,, +冬青叶鼠刺,Itea ilicifolia,"刘冰,覃海宁,张宪春等",785,20070613,贵州省,1360,石山灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039617.jpg,,,,,,,,,, +冬青叶鼠刺,Itea ilicifolia,王从荣,197,19930613,湖北省,700,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869688.jpg,,,,,,,,,, +冬青叶鼠刺,Itea ilicifolia,金佛山考察队,438,19860518,重庆市,750,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869689.jpg,,,,,,,,,, +毛脉鼠刺,Itea indochinensis var. pubinervia,华南队,158,19890426,广西壮族自治区,1400,山地 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995290.jpg,,,,,,,,,, +毛脉鼠刺,Itea indochinensis var. pubinervia,C.W.Wang,87997,19400319,云南省,1550,Earth hill,,无花无果,https://image.cvh.ac.cn/files/l/PE/00865178.jpg,,,,,,,,,, +俅江鼠刺,Itea kiukiangensis,"李渤生,程树志等",1653,19821103,西藏自治区,1600,常绿阔叶林缘时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01523229.jpg,,,,,,,,,, +俅江鼠刺,Itea kiukiangensis,T.T.Yu,19436,19380726,云南省,1700,Among mixed forest,Tree,无花有果,https://image.cvh.ac.cn/files/l/PE/00865180.jpg,,,,,,,,,, +云南鼠刺,Itea yunnanensis,红水河植物考察队,895,19890505,广西壮族自治区,900,细叶云南松 栎树混交林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995282.jpg,,,,,,,,,, +云南鼠刺,Itea yunnanensis,"张力,万",325,20130421,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994007.jpg,,,,,,,,,, +云南鼠刺,Itea yunnanensis,"党成忠,党平",388,19860712,贵州省,1100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01975893.jpg,,,,,,,,,, +细叶小苦荬,Ixeridium gracile,巴山采集队,3674,20100727,四川省,1005,农田,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059655.jpg,,,,,,,,,, +细叶小苦荬,Ixeridium gracile,李振宇等,1487,19981025,广西壮族自治区,850,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997258.jpg,,,,,,,,,, +细叶小苦荬,Ixeridium gracile,红水河植物考察队,1956,19890528,云南省,1500,石灰岩山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997250.jpg,,,,,,,,,, +白花龙船花,Ixora henryi,"Cribb,P.J.,Chau K.C.Luo et al",ASBK279,19970429,广西壮族自治区,880,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011644.jpg,,,,,,,,,, +白花龙船花,Ixora henryi,刘恩德等,2261,20100104,云南省,1068,"Riverside,forest margin",,有花无果,https://image.cvh.ac.cn/files/l/PE/01917412.jpg,,,,,,,,,, +白花龙船花,Ixora henryi,王功范,1-0449,20030624,贵州省,860,山坡阴处林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01590027.jpg,,,,,,,,,, +囊果龙船花,Ixora subsessilis,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11903,20161114,西藏,1488,山地常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445600.jpg,,,,,,,,,, +,Ixora subsessilis,高信芬、涂卫国、何海、乔永康,7777,20030923,西藏自治区,1300,阔叶林下,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190620.jpg,,,,,,,,,, +小籽口药花,Jaeschkea microsperma,青藏队,74-2673,19740918,西藏自治区,4300,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399699.jpg,,,,,,,,,, +小籽口药花,Jaeschkea microsperma,王为义,165a,19790813,青海省,4200,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/156053.jpg,,,,,,,,,, +红茉莉,Jasminum beesianum,C.W.Wang,64098,19350600,云南省,2300,in woods side,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079493.jpg,,,,,,,,,, +红茉莉,Jasminum beesianum,W.T.Sleam,59097,19320626,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01489406.jpg,,,,,,,,,, +,Jasminum dispermum,刘恩德等,3493,20120422,云南省,2333,"forest margin, upon thickets",,有花无果,https://image.cvh.ac.cn/files/l/PE/02026061.jpg,,,,,,,,,, +,Jasminum dispermum,,s.n.,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01489480.jpg,,,,,,,,,, +,Jasminum duclouxii,覃海宁等,2071,19981103,广西壮族自治区,,山地,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009019.jpg,,,,,,,,,, +,Jasminum duclouxii,刘恩德等,3559,20120323,云南省,2248,"in forest,forest margin",,有花无果,https://image.cvh.ac.cn/files/l/PE/01920716.jpg,,,,,,,,,, +矮探春,Jasminum humile var. humile,李馨,76764,19571012,四川省,2020,灌木,,有果无花,https://image.cvh.ac.cn/files/l/KUN/28687.jpg,,,,,,,,,, +矮探春,Jasminum humile var. humile,俞德浚,10590,19391025,云南省,3200,山箐林中,,有果无花,https://image.cvh.ac.cn/files/l/KUN/28555.jpg,,,,,,,,,, +,Jasminum humile var. microphyllum,蒋兴麟,11162,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01500270.jpg,,,,,,,,,, +,Jasminum humile var. microphyllum,K.S.Hao,Hao 530,19300625,甘肃省,1500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01500269.jpg,,,,,,,,,, +,Jasminum lanceolaria,"郭永杰,赵文李,唐培洵,金仙玲,张香群",13CS7508,20130427,云南省,1730,公路边,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375487.jpg,,,,,,,,,, +,Jasminum lanceolaria,"张挺,刘成,亚吉东,陈庆",14CS8881,20140815,海南省,695,山坡路边,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375474.jpg,,,,,,,,,, +,Jasminum lanceolaria,Exp. Mingxi,5379,20051107,福建,700,山坡灌丛,藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00613735.jpg,,,,,,,,,, +,Jasminum mesnyi,,3682,19430420,云南省,,杨家村半山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01500702.jpg,,,,,,,,,, +,Jasminum mesnyi,黄治平等,1738,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01500701.jpg,,,,,,,,,, +迎春花,Jasminum nudiflorum var. nudiflorum,弥渡普查队,5329251189,20120721,云南省,2122,,灌木,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0015475.jpg,,,,,,,,,, +,Jasminum officinale var. officinale,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11820,20161110,西藏,2423,林缘,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1450644.jpg,,,,,,,,,, +大花素方花,Jasminum officinale var. officinale,余岩、吴奕辰,2020217,20200714,四川,3207,路边,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02020217.jpg,,,,,,,,,, +,Jasminum officinale var. officinale,胡君、王东超、李丽、唐露,SC-a-073-B009,20180808,云南,3378,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260827.jpg,,,,,,,,,, +,Jasminum polyanthum,中苏队,5327,19570227,云南省,1300,山坡阳处疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101418.jpg,,,,,,,,,, +,Jasminum polyanthum,红水河植物考察队,305,19890422,广西壮族自治区,1200,石灰岩灌丛山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009007.jpg,,,,,,,,,, +亮叶茉莉,Jasminum seguinii,中植联广西队,1370,20080610,广西壮族自治区,560,石灰岩石山,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042993.jpg,,,,,,,,,, +亮叶茉莉,Jasminum seguinii,滇西北队,10469,,云南省,1480,江边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01501353.jpg,,,,,,,,,, +华清香藤,Jasminum sinense,广西调查队,4073,19531000,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02008982.jpg,,,,,,,,,, +华清香藤,Jasminum sinense,谭仕兴,198,20050121,贵州省,950,树林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01883409.jpg,,,,,,,,,, +华清香藤,Jasminum sinense,邓云飞等,10471,19970928,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647434.jpg,,,,,,,,,, +,Jasminum stephanense,PE西藏考察队,7047,20180609,西藏自治区,3144,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332316.jpg,,,,,,,,,, +,Jasminum stephanense,,s.n.,19080807,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01501527.jpg,,,,,,,,,, +,Jasminum stephanense,T.T.Yu,5535,19370520,四川省,2300,Upon bushes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01501508.jpg,,,,,,,,,, +滇素馨,Jasminum subhumile,C.W.Wang,69293,19360900,云南省,3300,in woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079497.jpg,,,,,,,,,, +麻疯树,Jatropha curcas,"陈伟烈,陈家瑞,郭柯等",5434,19840522,四川省,1100,干旱河谷灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045519.jpg,,,,,,,,,, +麻疯树,Jatropha curcas,Vietnam-American et al.,659,19980427,,180~200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924689.jpg,,,,,,,,,, +麻疯树,Jatropha curcas,华南队,637,19890512,广西壮族自治区,500,山地山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01315293.jpg,,,,,,,,,, +野核桃,Juglans cathayensis,"川西队,关克俭,王文采等",2261,19630903,四川省,1700,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092450.jpg,,,,,,,,,, +野核桃,Juglans cathayensis,黄河队,3715,19560514,甘肃省,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082175.jpg,,,,,,,,,, +泡核桃,Juglans sigillata,"李渤生,程树志",990,19820921,西藏自治区,2000~2100,河边常见乔木野生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491025.jpg,,,,,,,,,, +泡核桃,Juglans sigillata,青藏队,743,19810608,云南省,2000,金沙江河谷 右岸山谷 龙潭边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01057906.jpg,,,,,,,,,, +翅茎灯心草,Juncus alatus,任玉岐,45,19590618,安徽省,,庄前沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236773.jpg,,,,,,,,,, +翅茎灯心草,Juncus alatus,段林东,2230,20040423,湖南省,800,田野,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236774.jpg,,,,,,,,,, +翅茎灯心草,Juncus alatus,黄土高原采集队,2927,19840616,河南省,1300,小沟旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236772.jpg,,,,,,,,,, +,Juncus allioides,,巴(1),19810718,云南省,3500,草甸沼泽草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236855.jpg,,,,,,,,,, +,Juncus allioides,J.Kirschner et al.,181,20110914,四川省,3780,Wet meadow with mumerous little streams,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236854.jpg,,,,,,,,,, +,Juncus allioides,,75-932,19750809,西藏自治区,,采伐后次生沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236852.jpg,,,,,,,,,, +高山灯心草?,Juncus alpinus,,B.1816,186906  ,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00068467.jpg,,,,,,,,,, +走茎灯心草,Juncus amplifolius,"罗建,汪书丽",9162,20090614,西藏自治区,3033,草甸湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01950127.jpg,,,,,,,,,, +走茎灯心草,Juncus amplifolius,J.Kirschner et al.,7,20110914,四川省,4298,Alpine stony grasslands,,有花无果,https://image.cvh.ac.cn/files/l/PE/01950116.jpg,,,,,,,,,, +走茎灯心草,Juncus amplifolius,58年秦岭队,10369,19580705,陕西省,,阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827797.jpg,,,,,,,,,, +小花灯心草,Juncus articulatus,"李安仁,朱家柟",8542,19580805,新疆维吾尔自治区,,水生,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237023.jpg,,,,,,,,,, +小花灯心草,Juncus articulatus,于兆英,2745,19810924,陕西省,1400,沙海子附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236890.jpg,,,,,,,,,, +小花灯心草,Juncus articulatus,钟补求,7316,19530607,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236889.jpg,,,,,,,,,, +孟加拉灯心草,Juncus benghalensis,金效华,YN-ET 1547,20090716,云南省,3400,林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01939575.jpg,,,,,,,,,, +孟加拉灯心草,Juncus benghalensis,青藏队植被组,5305,19750714,西藏自治区,3150,瀑布边悬崖上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790509.jpg,,,,,,,,,, +二颖灯心草,Juncus biglumis,黄连山保护区科研所,HLS0226,20101028,云南,820,山地雨林次生林下石头上,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1396781.jpg,,,,,,,,,, +短柱灯心草,Juncus brachystigma,"郭柯,郑度",12330,19880806,新疆维吾尔自治区,4100,塔头沼泽草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01469013.jpg,,,,,,,,,, +短柱灯心草,Juncus brachystigma,T.T.Yu,8943,19370712,云南省,4000,mt stream side,,有花有果,https://image.cvh.ac.cn/files/l/PE/01046164.jpg,,,,,,,,,, +短柱灯心草,Juncus brachystigma,俞德浚,7771,19370817,四川省,3600,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0097596.jpg,,,,,,,,,, +显苞灯心草,Juncus bracteatus,,样75,19810809,云南省,,湖泊盆地草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01593314.jpg,,,,,,,,,, +显苞灯心草,Juncus bracteatus,青藏队横断山队,3831,19810806,四川省,4100~4300,山沟内林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01191714.jpg,,,,,,,,,, +显苞灯心草,Juncus bracteatus,"李渤生,倪志诚,程树志",5703,19830721,西藏自治区,3600,高山水边沼地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01191713.jpg,,,,,,,,,, +栗花灯心草,Juncus castaneus,廉永善等,96277,19600818,甘肃省,3400,石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237301.jpg,,,,,,,,,, +栗花灯心草,Juncus castaneus,刘尚武,383,19650811,青海省,4100,山坡流水沟边沼泽草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803373.jpg,,,,,,,,,, +栗花灯心草,Juncus castaneus,生态室高原组,14915,19800906,西藏自治区,3800,高山灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191749.jpg,,,,,,,,,, +头柱灯心草,Juncus cephalostigma,,稻1710,19730528,四川省,3800,河滩 山坡 湿润处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01593313.jpg,,,,,,,,,, +头柱灯心草,Juncus cephalostigma,,s.n.,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01593311.jpg,,,,,,,,,, +丝节灯心草,Juncus chrysocarpus,青藏队横断山队,3786,19810805,四川省,4200,河滩 草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191762.jpg,,,,,,,,,, +丝节灯心草,Juncus chrysocarpus,青藏队,1030,19740914,西藏自治区,3900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01046725.jpg,,,,,,,,,, +丝节灯心草,Juncus chrysocarpus,张林、李星月、张晓严,2-271b,20180616,西藏,3013,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023556.jpg,,,,,,,,,, +印度灯心草,Juncus clarkei,南水北调队 姜恕,6099,19600627,云南省,3200,山坡潮地冷云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236997.jpg,,,,,,,,,, +印度灯心草,Juncus clarkei,S.Noshiro et al.,9810128,19980822,,3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01950142.jpg,,,,,,,,,, +雅灯心草(原变种),Juncus concinnus var. concinnus,谢登峰、蔡竞、秦换换,CJ-007-A-004,20200920,四川,2846.37m,阔叶林和灌丛混生,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02063584.jpg,,,,,,,,,, +同色灯心草,Juncus concolor,T.T.Yu,16961,19380724,云南省,3400,on rocky slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01046920.jpg,,,,,,,,,, +粗状灯心草,Juncus crassistylus,秦自生,6511,19740707,四川省,3200,路旁水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01551596.jpg,,,,,,,,,, +粗状灯心草,Juncus crassistylus,刘继孟,1689,19570720,山西省,2400,潮湿地阴处密林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01551588.jpg,,,,,,,,,, +粗状灯心草,Juncus crassistylus,G.Forrest,9026,19120800,云南省,3333~3666,Open stony pasture.Plant,,有花有果,https://image.cvh.ac.cn/files/l/PE/01046952.jpg,,,,,,,,,, +灯心草,Juncus effusus,赵佐成,4015,19931020,四川省,2000,水沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02236797.jpg,,,,,,,,,, +灯心草,Juncus effusus,,805,19630619,贵州省,1300,路旁阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/02236589.jpg,,,,,,,,,, +灯心草,Juncus effusus,刘晓龙,79,19870811,安徽省,200,田边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02236590.jpg,,,,,,,,,, +,Juncus giganteus,"D.E.Boufford,K.Fujikawa,S.L.Kelley etc.",40068,20070820,四川省,3730~3760,moist stony slope with shrub thickets and open areas open soil along seepages,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109838.jpg,,,,,,,,,, +,Juncus giganteus,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",41309,20090729,西藏自治区,3700~3900,picea forests on slopes wet meadow like areas periodically flooded depressions along river wet muddy soil in depressions along stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039103.jpg,,,,,,,,,, +细茎灯心草,Juncus gracilicaulis,中甸队,1382,19620826,云南省,3600,冷杉林下岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01047974.jpg,,,,,,,,,, +细茎灯心草,Juncus gracilicaulis,T.T.Yu,6041,19370610,四川省,2800,under woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/01047622.jpg,,,,,,,,,, +细茎灯心草,Juncus gracillimus,北师大,5381,19590625,北京市,1100,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237003.jpg,,,,,,,,,, +细茎灯心草,Juncus gracillimus,黄河队,241,19540630,甘肃省,1230,水旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02081760.jpg,,,,,,,,,, +细茎灯心草,Juncus gracillimus,,422,19730825,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01793491.jpg,,,,,,,,,, +节叶灯心草,Juncus grisebachi,"李渤生,程树志",1219,19821011,西藏自治区,3400,冷杉林缘 湿地常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109461.jpg,,,,,,,,,, +节叶灯心草,Juncus grisebachi,王战等,4376,19540828,黑龙江省,,水甸子旁湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527764.jpg,,,,,,,,,, +节叶灯心草,Juncus grisebachii,"李渤生,程树志",1219,19821011,西藏自治区,3400,冷杉林缘 湿地常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109461.jpg,,,,,,,,,, +节叶灯心草,Juncus grisebachii,王战等,4376,19540828,黑龙江省,,水甸子旁湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527764.jpg,,,,,,,,,, +伊宁灯心草,Juncus heptopotamicus var. yiningensis,青甘调查队,112,19590611,青海省,2780,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01118016.jpg,,,,,,,,,, +伊宁灯心草,Juncus heptopotamicus var. yiningensis,青甘调查队,3004,19600726,甘肃省,1300,河谷冲积平原,,有花有果,https://image.cvh.ac.cn/files/l/PE/01118012.jpg,,,,,,,,,, +伊宁灯心草,Juncus heptopotamicus var. yiningensis,"李安仁,朱家楠",6662,19580613,新疆维吾尔自治区,460,田向水旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01118007.jpg,,,,,,,,,, +喜马灯心草,Juncus himalensis,J.Kirschner et al.,22,20110919,四川省,4040,Springs among scrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/01950172.jpg,,,,,,,,,, +喜马灯心草,Juncus himalensis,S.Noshiro et al.,9770296,19970824,,3910,solitary erect.in grass land,,有花无果,https://image.cvh.ac.cn/files/l/PE/01950128.jpg,,,,,,,,,, +片髓灯心草,Juncus inflexus,"D.E.Boufford,C.Y.Xi,T.S.Ying etc.",26301,19940528,河南省,1300~900,dirturbed and remnant forests along river wet stream margin,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230309.jpg,,,,,,,,,, +片髓灯心草,Juncus inflexus,M.Suzuki et al.,70786,19910819,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01950144.jpg,,,,,,,,,, +片髓灯心草,Juncus inflexus,冯正波等,20070538,20070517,四川省,1500,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939565.jpg,,,,,,,,,, +,Juncus khasiensis,"李渤生,李辉,阳艺",13559,19900907,西藏自治区,2800,岩石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506880.jpg,,,,,,,,,, +,Juncus khasiensis,青藏队区系组,14004,19830913,四川省,3200,高山松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01191821.jpg,,,,,,,,,, +,Juncus khasiensis,青藏队,8445,19820722,云南省,2800,Tsuga林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01191816.jpg,,,,,,,,,, +金灯心草,Juncus kingii,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",41459,20090730,西藏自治区,4200,meadows with scattered thickets of dwarf rocky slope meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039104.jpg,,,,,,,,,, +金灯心草,Juncus kingii,张树仁等,2192,20140621,四川省,1901~2400,路边 林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01919043.jpg,,,,,,,,,, +密花灯心草,Juncus lanpinguensi,朱鑫鑫、陈彬、沈彬、宋以刚,CSH06564,20140730,四川省,3284.74,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0037277.jpg,,,,,,,,,, +密花灯心草,Juncus lanpinguensi,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201194,20200723,西藏,2247,河边石上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507165.jpg,,,,,,,,,, +甘川灯心草,Juncus leucanthus,J.Kirschner et al.,22,20110919,四川省,4040,Springs among scrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237007.jpg,,,,,,,,,, +甘川灯心草,Juncus leucanthus,金效华,YN-ET 1548,20090716,云南省,3700,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939525.jpg,,,,,,,,,, +甘川灯心草,Juncus leucanthus,PE西藏队,PE5305,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891608.jpg,,,,,,,,,, +长苞灯心草,Juncus leucomelas,PE西藏考察队,7096,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332397.jpg,,,,,,,,,, +长苞灯心草,Juncus leucomelas,"王文广,刘平等",2287,20140716,四川省,2540~3200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021780.jpg,,,,,,,,,, +,Juncus luzuliformis,J.Kirschner et al.,6,20110913,四川省,2205,"Wet slopes,muddy places",,有花无果,https://image.cvh.ac.cn/files/l/PE/01950114.jpg,,,,,,,,,, +,Juncus luzuliformis,白水江采集队,2463,20060821,甘肃省,1756,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939526.jpg,,,,,,,,,, +,Juncus luzuliformis,,s.n.,,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527899.jpg,,,,,,,,,, +膜耳灯心草,Juncus membranaceus,青藏科考队,7809,19750914,西藏自治区,3600,阴坡 针阔混交林中 水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01550860.jpg,,,,,,,,,, +膜耳灯心草,Juncus membranaceus,王作宾,14440,19510719,甘肃省,3100,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527944.jpg,,,,,,,,,, +米拉山灯心草,Juncus milashanensis,张永田 郎楷永,2394,19650901,西藏自治区,5000,山坡草地,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01550984.jpg,,,,,,,,,, +米拉山灯心草,Juncus milashanensis,"池田博,若林三千男,秋山忍,宫本太,费勇,天野诚,河源孝行",100803,19980830,四川省,3160~3460,无,,,https://image.cvh.ac.cn/files/l/KUN/1295999.jpg,,,,,,,,,, +米拉山灯心草,Juncus milashanensis,王辰,LZ078,20120713,西藏,4400,,,,https://image.cvh.ac.cn/files/l/BNU/0014173.jpg,,,,,,,,,, +矮灯心草,Juncus minimus,"李渤生,程树志",674,19820905,西藏自治区,3800~4300,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236907.jpg,,,,,,,,,, +矮灯心草,Juncus minimus,秦仁昌,2937,19561011,新疆维吾尔自治区,540,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236893.jpg,,,,,,,,,, +多花灯心草,Juncus modicus,张寿洲等,994,20130925,四川省,,土生,,有花有果,https://image.cvh.ac.cn/files/l/PE/01919044.jpg,,,,,,,,,, +多花灯心草,Juncus modicus,白龙江考察队,153,19980717,甘肃省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537154.jpg,,,,,,,,,, +多花灯心草,Juncus modicus,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527983.jpg,,,,,,,,,, +单枝灯心草,Juncus potaninii,康永善等,96745,19960818,甘肃省,2600,路边沟边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237011.jpg,,,,,,,,,, +单枝灯心草,Juncus potaninii,冯正波等,20070442,20070517,四川省,1800,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939564.jpg,,,,,,,,,, +单枝灯心草,Juncus potaninii,王启无,68459,19350000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01550546.jpg,,,,,,,,,, +笄石菖(原亚种),Juncus prismatocarpus subsp. prismatocarpus,张相宜,李子宣,郭泳棂,LZX-Z-00-15-032,20210531,四川,2563,高山草甸灌丛,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02066554.jpg,,,,,,,,,, +长柱灯心草,Juncus przewalskii,T.N.Liou et al.,975,19370915,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01550998.jpg,,,,,,,,,, +长柱灯心草,Juncus przewalskii,青藏队,5485,19750604,西藏自治区,3650,山坡逗壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01550963.jpg,,,,,,,,,, +长柱灯心草,Juncus przewalskii,崔友文,5402,19510822,四川省,4700,高山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01550958.jpg,,,,,,,,,, +簇花灯心草,Juncus ranarius,何小兰,837,19890716,青海省,1900,沼泽地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01550995.jpg,,,,,,,,,, +簇花灯心草,Juncus ranarius,林有润,74-970,19740822,新疆维吾尔自治区,0~1220,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0641260.jpg,,,,,,,,,, +,Juncus ranarius,工作站仝人,2346,19510701,江苏省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00543733.jpg,,,,,,,,,, +野灯心草,Juncus setchuensis,相金祥,1670,19590813,陕西省,1350,渠边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02236861.jpg,,,,,,,,,, +野灯心草,Juncus setchuensis,J.Kirschner et al.,146,20110913,四川省,2205,"Wet slopes, muddy places",,无花有果,https://image.cvh.ac.cn/files/l/PE/02236862.jpg,,,,,,,,,, +野灯心草,Juncus setchuensis,张志英,16489,19630810,甘肃省,1000,河边砂地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02236860.jpg,,,,,,,,,, +锡金灯心草,Juncus sikkimensis,,730,19730811,西藏自治区,3600,高山棕林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236996.jpg,,,,,,,,,, +锡金灯心草,Juncus sikkimensis,"陈伟烈,陈家瑞,郭柯,闰建平",5841,19840602,四川省,3920,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236986.jpg,,,,,,,,,, +枯灯心草,Juncus sphacelatus,青藏科考队,12138,19760701,西藏自治区,4000,水沟边 湿草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01551627.jpg,,,,,,,,,, +枯灯心草,Juncus sphacelatus,T.T.Yu,14598,19371022,四川省,4000,水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01551621.jpg,,,,,,,,,, +陕甘灯心草,Juncus tanguticus,不祥,517,19600615,陕西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/91468.jpg,,,,,,,,,, +陕甘灯心草,Juncus tanguticus,彭玉兰、郑臣臣、张君议,THP-KD-3637,20170719,四川,2873~3751,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0249969.jpg,,,,,,,,,, +陕甘灯心草,Juncus tanguticus,张超 朱大海 余磊,20060560,20060913,四川省,4100,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/015251.jpg,,,,,,,,,, +展苞灯心草,Juncus thomsonii,PE西藏考察队,7117,20180610,西藏自治区,4281,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332513.jpg,,,,,,,,,, +展苞灯心草,Juncus thomsonii,J.Kirschner et al.,24,20110919,四川省,4090,Low marshy grassland,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237057.jpg,,,,,,,,,, +西藏灯心草,Juncus tibeticus,何廷农,2023,19910712,甘肃省,2450,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/166973.jpg,,,,,,,,,, +贴苞灯心草,Juncus triglumis,"张新时,郭柯",天山-589,19860815,新疆维吾尔自治区,2625,冲积扇 T-077,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081151.jpg,,,,,,,,,, +贴苞灯心草,Juncus triglumis,"王文中,田景全,秦绍英",14(89),19560805,甘肃省,2935,山谷 阴坡 西北,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827796.jpg,,,,,,,,,, +贴苞灯心草,Juncus triglumis,,s.n.,19570622,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01807171.jpg,,,,,,,,,, +单叶灯心草,Juncus unifolius,生态室高原组,15633,19800917,西藏自治区,4100,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376435.jpg,,,,,,,,,, +,Juniperus convallium var. microsperma,张宪春,3892,20060630,西藏自治区,3800~4000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01458123.jpg,,,,,,,,,, +,Juniperus convallium var. microsperma,钟补求,6258,19541221,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00018154.jpg,,,,,,,,,, +刺柏,Juniperus formosana,"川西队,关克俭,王文采等",关王117,19630715,四川省,2550,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091757.jpg,,,,,,,,,, +刺柏,Juniperus formosana,Chien-I Huang,1204,20020815,台湾省,1200,scrubby vegetation,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872342.jpg,,,,,,,,,, +刺柏,Juniperus formosana,侯学煜等,14654,19511203,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01609920.jpg,,,,,,,,,, +,Juniperus indica,,416,19750630,西藏自治区,3700,高山疏林灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/00982901.jpg,,,,,,,,,, +,Juniperus indica,汤宗孝等,8,19820529,四川省,2450,路旁、山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00982896.jpg,,,,,,,,,, +,Juniperus komarovii,黄河队,3261,19560831,甘肃省,,沟底山坡密林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082321.jpg,,,,,,,,,, +,Juniperus komarovii,田效文,1030,19860612,四川省,3550,亚高山草甸草场,,无花有果,https://image.cvh.ac.cn/files/l/PE/00206472.jpg,,,,,,,,,, +,Juniperus komarovii,李馨,78203,19580724,重庆市,3900,山坡 ,,无花有果,https://image.cvh.ac.cn/files/l/PE/00018253.jpg,,,,,,,,,, +,Juniperus pingii var. pingii,毛品一,1004,19520525,云南省,3600,疏林中,干燥,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0135030.jpg,,,,,,,,,, +,Juniperus pingii var. pingii,武素功,2064,19600503,四川省,2800~3000,山箐中,坡地,灌丛中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0135035.jpg,,,,,,,,,, +蒙古圆柏,Juniperus przewalskii,D.E.Boufford et al.,39035,20070805,四川省,3050~3100,Remnant Abies-Picea forest and openings in boulder field.,,无花有果,https://image.cvh.ac.cn/files/l/PE/01865990.jpg,,,,,,,,,, +蒙古圆柏,Juniperus przewalskii,73级学生,7-86,19740516,甘肃省,3400,高山上部,,无花有果,https://image.cvh.ac.cn/files/l/PE/00207216.jpg,,,,,,,,,, +蒙古圆柏,Juniperus przewalskii,青海队,3161,19600819,青海省,3400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00063290.jpg,,,,,,,,,, +,Juniperus recurva var. coxii,"韩裕丰,邓坤梅",81-739,19810618,云南省,1820,?旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/00982681.jpg,,,,,,,,,, +,Juniperus recurva var. coxii,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00018741.jpg,,,,,,,,,, +杜松,Juniperus rigida,"陈又生,袁慊,徐连升等",141083,20140731,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02041043.jpg,,,,,,,,,, +杜松,Juniperus rigida,Taku Miyazaki,806332,20080626,,320~350,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02015291.jpg,,,,,,,,,, +,Juniperus sabina var. sabina,"刘成, 张挺, 李昌洪, 熊晓强",16CS12358,20160605,新疆,597,沙丘,灌木,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1448182.jpg,,,,,,,,,, +方枝柏,Juniperus saltuaria,"唐宇丹,林秦文",2010-045,20100914,西藏自治区,3644,南北向河谷 河滩沙石坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02041083.jpg,,,,,,,,,, +方枝柏,Juniperus saltuaria,朱相云等,20285,20001020,四川省,3200,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01573112.jpg,,,,,,,,,, +方枝柏,Juniperus saltuaria,张宪春,3902,20060703,云南省,4000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01458122.jpg,,,,,,,,,, +西伯利亚刺柏,Juniperus sibirica,,920,19630729,吉林省,1800,岳榉林下的岩石表面上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01963481.jpg,,,,,,,,,, +西伯利亚刺柏,Juniperus sibirica,温带森林组,287,19620716,,1500,亚高山草甸及鱼鳞松林下,台地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01963480.jpg,,,,,,,,,, +西伯利亚刺柏,Juniperus sibirica,张宪春,4343,20070622,新疆维吾尔自治区,2050,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815342.jpg,,,,,,,,,, +,Juniperus squamata,PE西藏队,PE6653,20170914,西藏自治区,3934,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293999.jpg,,,,,,,,,, +,Juniperus squamata,石世贵,S-W-0465,19960630,湖北省,930,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079073.jpg,,,,,,,,,, +,Juniperus tibetica,PE西藏队,PE6499,20170912,西藏自治区,3588,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293996.jpg,,,,,,,,,, +,Juniperus tibetica,D.E.Boufford et al.,37411,20060823,四川省,3750~3800,Remnant Abies-Picea forest and openings in boulder field.,,无花有果,https://image.cvh.ac.cn/files/l/PE/01865989.jpg,,,,,,,,,, +,Juniperus tibetica,崔大方,94348,19940705,新疆维吾尔自治区,2400,天山 山地 草甸 石质山 阳坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01609185.jpg,,,,,,,,,, +矮小苓菊,Jurinea algida,西植新疆队,1712,19780728,新疆维吾尔自治区,3020,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00998448.jpg,,,,,,,,,, +矮小苓菊,Jurinea algida,西植新疆队,1712,1978/7/28,新疆维吾尔族自治区,3020,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0335928.jpg,,,,,,,,,, +南疆苓菊,Jurinea kaschgarica,,22329,19550600,新疆维吾尔自治区,,干旱,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836578.jpg,,,,,,,,,, +南疆苓菊,Jurinea kaschgarica,,9766,1959.6.2,新疆维吾尔自治区 ,2300,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042465.jpg,,,,,,,,,, +南疆苓菊,Jurinea kaschgarica,,9766,1959621,,2300,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022899.jpg,,,,,,,,,, +绵毛杜根藤,Justicia albovelata,刘成,蔡杰,张挺,郭永杰,吴之坤,13CS6787,20131107,云南,1778,金沙江干热河谷灌丛,半灌木,,https://image.cvh.ac.cn/files/l/KUN/1385952.jpg,,,,,,,,,, +,Justicia albovelata,"Forrest, George",10996,13-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00765315.jpg,,,,,,,,,, +,Justicia procumbens,张彩飞,2167,20091028,浙江省,493,农田石头边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247476.jpg,,,,,,,,,, +,Justicia procumbens,Wen-Pen Leu,2095,19941001,台湾省,150,on roadside slope opening site,,有花有果,https://image.cvh.ac.cn/files/l/PE/02095514.jpg,,,,,,,,,, +,Justicia procumbens,"川西队,关克俭,王文采等",2426,19630820,四川省,750,山坡林边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092219.jpg,,,,,,,,,, +,Justicia xerobatica,,11941,19380908,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0056693.jpg,,,,,,,,,, +,Justicia xerobatica,"Maire, E.E.",382,14-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00045275.jpg,,,,,,,,,, +,Justicia xylopoda,G.Forrest,27903,19290800,云南省,2333,Undershrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/01558038.jpg,,,,,,,,,, +木柄杜根藤,Justicia xylopoda,亚吉东、刘成,15CS11211,20150922,云南,1619,金沙河干热河谷,多年生 草本,,https://image.cvh.ac.cn/files/l/KUN/1396224.jpg,,,,,,,,,, +,Justicia yunnanensis,"Forrest, George",11051,13-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00045273.jpg,,,,,,,,,, +异形南五味子,Kadsura heteroclita,华南分队,2676,19891020,广西壮族自治区,1700,山地山谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231169.jpg,,,,,,,,,, +异形南五味子,Kadsura heteroclita,石世贵,S-GW-0404,19960629,湖北省,1560,林间,,有花有果,https://image.cvh.ac.cn/files/l/PE/02113769.jpg,,,,,,,,,, +,Kalanchoe integra,蔡杰、张挺、李昌洪,14CS9012,20140311,云南,1530,路边干燥石坡,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321093.jpg,,,,,,,,,, +匙叶伽蓝菜,Kalanchoe integra,张菁,2.01E+11,20130701,福建,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU074297.jpg,,,,,,,,,, +匙叶伽蓝菜,Kalanchoe integra,陆文光,20553,19610318,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI006546.jpg,,,,,,,,,, +里海盐爪爪,Kalidium caspicum,,31,19590423,新疆维吾尔自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00541551.jpg,,,,,,,,,, +黄毛头,Kalidium cuspidatum var. sinicum,青甘队,1279,19581101,甘肃省,2100,滩地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01898120.jpg,,,,,,,,,, +黄毛头,Kalidium cuspidatum var. sinicum,郑斯绪,465,19600000,青海省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01898119.jpg,,,,,,,,,, +黄毛头,Kalidium cuspidatum var. sinicum,朱为庆,A,19860925,宁夏回族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01898118.jpg,,,,,,,,,, +盐爪爪,Kalidium foliatum,中国科学院新疆综合考察队,9803,19590522,新疆维吾尔自治区,1800,河床外化土,,无花无果,https://image.cvh.ac.cn/files/l/PE/02100054.jpg,,,,,,,,,, +盐爪爪,Kalidium foliatum,,151,19580923,西藏自治区,1000,平原 潮湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044776.jpg,,,,,,,,,, +盐爪爪,Kalidium foliatum,,5029,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352197.jpg,,,,,,,,,, +细枝盐爪爪,Kalidium gracile,中苏队,61,19600809,内蒙古自治区,1340,湖盆,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078770.jpg,,,,,,,,,, +细枝盐爪爪,Kalidium gracile,,145,19580922,甘肃省,2300,平原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044777.jpg,,,,,,,,,, +细枝盐爪爪,Kalidium gracile,,309,19410616,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01795787.jpg,,,,,,,,,, +刺楸,Kalopanax septemlobus,覃海宁等,19684,20080809,江苏省,,杂林中,溪边,阴湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01966307.jpg,,,,,,,,,, +刺楸,Kalopanax septemlobus,Taku Miyazaki,910061,20091021,,30~40,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01923963.jpg,,,,,,,,,, +刺楸,Kalopanax septemlobus,T.P.Wang,1301,19330721,陕西省,,In valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710322.jpg,,,,,,,,,, +密枝喀什菊,Kaschgaria brachanthemoides,田允温,22153,19560726,新疆维吾尔自治区,,戈壁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01577564.jpg,,,,,,,,,, +密枝喀什菊,Kaschgaria brachanthemoides,,2907,1956.9.1,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00040089.jpg,,,,,,,,,, +密枝喀什菊,Kaschgaria brachanthemoides,,2907,1956911,,550,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20020662.jpg,,,,,,,,,, +云南钩毛草,Kelloggia chinensis,青藏队,1692,19510702,四川省,3550,金沙江东岸山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110230.jpg,,,,,,,,,, +云南钩毛草,Kelloggia chinensis,青藏队植被组,6007,19750901,西藏自治区,4300~4500,阴坡草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803939.jpg,,,,,,,,,, +大颖以礼草,Kengyilia grandiglumis,李淑娟、李长慧,217,20140802,青海省,4242,治沙地,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00012578.jpg,,,,,,,,,, +,Kengyilia grandiglumis,"J.L.Yang,R.von Bothmer et al",860043,19860731,青海,3200,,多年生,丛生,无花有果,https://image.cvh.ac.cn/files/l/SAUT/201402216.jpg,,,,,,,,,, +,Kengyilia kokonorica,PE西藏考察队,7725,20180623,西藏自治区,4175,流石滩、溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333961.jpg,,,,,,,,,, +,Kengyilia kokonorica,河西队,270,19670825,甘肃省,2700,克?针茅草原较湿润处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546567.jpg,,,,,,,,,, +疏花以礼草,Kengyilia laxiflora,崔友文,4338,19510711,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00070126.jpg,,,,,,,,,, +疏花以礼草,Kengyilia laxiflora,弃耕地调查队,371,19630722,青海省,0~3130,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/008874.jpg,,,,,,,,,, +,Kengyilia melanthera var. tahopaica,王金亭,3624,19610724,西藏自治区,4650,沙丘上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546579.jpg,,,,,,,,,, +,Kengyilia melanthera var. tahopaica,河西队,340,19670822,甘肃省,3500,山坡河滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546576.jpg,,,,,,,,,, +大黑药以礼草,Kengyilia melanthera var. tahopaica,姚仲吾,873,19350719,青海省,0,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00070128.jpg,,,,,,,,,, +无芒以礼草,Kengyilia mutica,刘坤,LiuJQ-GN-2011-399,20110819,甘肃,3417,退化草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402466.jpg,,,,,,,,,, +无芒以礼草,Kengyilia mutica,吴玉虎,29613,20040723,四川省,0~4000,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/198809.jpg,,,,,,,,,, +无芒以礼草,Kengyilia mutica,李淑娟、李长慧,12,20140728,青海省,3357,阴坡,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00012614.jpg,,,,,,,,,, +硬杆仲彬草,Kengyilia rigidula,张昌兵,ZhangCB0071,20080908,四川,3461,沙地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402469.jpg,,,,,,,,,, +硬秆以礼草,Kengyilia rigidula,傅坤俊,1453,19370731,甘肃省,3300,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00070130.jpg,,,,,,,,,, +,Kengyilia stenachyra,倪炳炽等,377,19640828,四川省,3520,湿润灌丛中同生植物早熟禾?,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546589.jpg,,,,,,,,,, +,Kengyilia stenachyra,,485,19640809,青海省,4200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546588.jpg,,,,,,,,,, +,Kengyilia stenachyra,,s.n.,19560912,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546582.jpg,,,,,,,,,, +云南油杉,Keteleeria evelyniana,林秦文,2013-186,20130601,云南省,1750~2300,峡谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044103.jpg,,,,,,,,,, +云南油杉,Keteleeria evelyniana,攀枝花苏铁考察队,274,20100711,四川省,2214,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01963492.jpg,,,,,,,,,, +云南油杉,Keteleeria evelyniana,,2152,19430601,贵州省,1400,强酸性砂质土 山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01601101.jpg,,,,,,,,,, +独叶草,Kingdonia uniflora,马欣堂,,19980429,四川省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962068.jpg,,,,,,,,,, +独叶草,Kingdonia uniflora,58年秦岭队,10678,19580914,陕西省,2800,阴处 岩石下 潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827422.jpg,,,,,,,,,, +独叶草,Kingdonia uniflora,白水江采集队,5146,20070519,甘肃省,3370,杜鹃林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801297.jpg,,,,,,,,,, +歪斜麻花头,Klasea procumbens,亚吉东,张桥蓉,秦少发,杨忠兰,16CS13464,20160827,新疆,869,河滩上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1438146.jpg,,,,,,,,,, +,Knoxia sumatrensis,彭华,陈志辉等,131012,20131026,云南省 ,882,Grass slope,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1241633.jpg,,,,,,,,,, +,Knoxia sumatrensis,W.Nanakorn,896,19940611,,900,落叶林中,草本,,https://image.cvh.ac.cn/files/l/HITBC/0001223.jpg,,,,,,,,,, +红芽大戟,Knoxia sumatrensis,黄雪彦、胡雪阳、岑海锋、唐美琼,451026131123026LY,20131123,广西壮族自治区,,阔叶林、林缘、黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0116938.jpg,,,,,,,,,, +细弱嵩草,Kobresia angusta,"李渤生,程树志,倪志诚",5863,19830726,西藏自治区,4800,冰砾砾石内平地草河时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098778.jpg,,,,,,,,,, +细弱嵩草,Kobresia angusta,王启无,64904,19350305,云南省,3200,Grassy sloep common,,有花有果,https://image.cvh.ac.cn/files/l/PE/00030246.jpg,,,,,,,,,, +细弱嵩草,Kobresia angusta,,1891,18840000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00030244.jpg,,,,,,,,,, +普兰嵩草,Kobresia burangensis,青藏队,76-8522,19760719,西藏自治区,5000,山坡 草原,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935304.jpg,,,,,,,,,, +尾穗嵩草,Kobresia cercostachys,北京所横断山队,2878,19810810,云南省,3800~4100,高山流石滩斑状草甸建群种,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803712.jpg,,,,,,,,,, +尾穗嵩草,Kobresia cercostachys,青藏队,12268,19830722,四川省,4000,山坡灌丛草地岩石缝,,无花无果,https://image.cvh.ac.cn/files/l/PE/01791176.jpg,,,,,,,,,, +尾穗嵩草,Kobresia cercostachys,"李渤生,李辉,多吉次旦",13094,19900815,西藏自治区,4800,高山 草甸中优势种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01507054.jpg,,,,,,,,,, +截形嵩草,Kobresia cuneata,"李渤生,程树志,倪志诚",5599,19830720,西藏自治区,4200,高山灌丛中草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098775.jpg,,,,,,,,,, +截形嵩草,Kobresia cuneata,北京植物所横断山队,1980,19810723,云南省,4000~4300,高山,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803718.jpg,,,,,,,,,, +截形嵩草,Kobresia cuneata,汤宗孝,1333,19830705,四川省,3900,高山 草甸草场,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705945.jpg,,,,,,,,,, +线形嵩草,Kobresia duthiei,"李渤生,程树志",1209,19821010,西藏自治区,4550,高山岩石上常见草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098776.jpg,,,,,,,,,, +线形嵩草,Kobresia duthiei,青藏队,5824,19810830,四川省,4500,山坡 ,,有花有果,https://image.cvh.ac.cn/files/l/PE/00027534.jpg,,,,,,,,,, +线形嵩草,Kobresia duthiei,,6043,19410100,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00027531.jpg,,,,,,,,,, +三脉嵩草,Kobresia esenbeckii,青藏队,6367,19750715,西藏自治区,3200,山坡 ,,有花有果,https://image.cvh.ac.cn/files/l/PE/00030255.jpg,,,,,,,,,, +三脉嵩草,Kobresia esenbeckii,白波,唐卫红,魏艳丽,许舒雯,方伟,13PXD029,20130619,云南,3698,杂木林,草本,,https://image.cvh.ac.cn/files/l/KUN/1398756.jpg,,,,,,,,,, +,Kobresia esenbeckii,"白波,唐卫红,魏艳丽,许舒雯,方伟",13PXD029,20130619,云南省,,杂木林,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1333456.jpg,,,,,,,,,, +镰叶嵩草,Kobresia falcata,刘振书,1336,19340000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030224.jpg,,,,,,,,,, +镰叶嵩草,Kobresia falcata,孔宪武,7211,19500800,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00027550.jpg,,,,,,,,,, +镰叶嵩草,Kobresia falcata,高信芬,鞠文彬,郑臣臣,THP-KD-5862,20170809,四川,4427,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255326.jpg,,,,,,,,,, +蕨状嵩草,Kobresia filicina,北京所横断山队,2661,19810805,云南省,2900,白水河边 岩石上优势,,无花有果,https://image.cvh.ac.cn/files/l/PE/01460061.jpg,,,,,,,,,, +蕨状嵩草,Kobresia filicina,青藏队,10551,19820918,西藏自治区,3500,山坡岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00027543.jpg,,,,,,,,,, +丝叶嵩草,Kobresia filifolia,,34211,,河北省,,大雪沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/00027395.jpg,,,,,,,,,, +丝叶嵩草,Kobresia filifolia,何叶祺,4075,19590710,甘肃省,2750,山坡 ,,有花有果,https://image.cvh.ac.cn/files/l/PE/00027394.jpg,,,,,,,,,, +丝叶嵩草,Kobresia filifolia,刘书润,3176,19840729,内蒙古自治区,,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00589122.jpg,,,,,,,,,, +囊状嵩草,Kobresia fragilis,,36(4),19810705,云南省,3300,山脚 洪积扇,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705942.jpg,,,,,,,,,, +囊状嵩草,Kobresia fragilis,Tang et Xia.,470,19820722,四川省,3700,撩荒地边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705940.jpg,,,,,,,,,, +禾叶嵩草,Kobresia graminifolia,"彭泽祥,张学忠",1422,19550809,陕西省,,高上间有土处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00030241.jpg,,,,,,,,,, +禾叶嵩草,Kobresia graminifolia,Kun-Tsun Fu,1376,19370722,甘肃省,3800,on dry plac near summit,,有花有果,https://image.cvh.ac.cn/files/l/PE/00030237.jpg,,,,,,,,,, +禾叶嵩草,Kobresia graminifolia,P.C.Tsoong,2912,19280729,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00030238.jpg,,,,,,,,,, +匍茎蒿草,Kobresia hohxilensis,潘建斌,杜维波,牛炳韬,Liujq-2011CDM-038,20110917,青海,2760,河边湿地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1398784.jpg,,,,,,,,,, +匍茎嵩草,Kobresia hohxilensis,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201544,20200807,西藏,4174,荒地上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1508367.jpg,,,,,,,,,, +,Kobresia hookeri,"李渤生,李辉,阳艺",13725,19900912,西藏自治区,3300,Abies林下石上时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01506981.jpg,,,,,,,,,, +矮生嵩草,Kobresia humilis,,735,19640826,青海省,4000,阳坡草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082815.jpg,,,,,,,,,, +矮生嵩草,Kobresia humilis,青藏队植被组,12867,19760628,西藏自治区,4800,斜谷局部细土与水流湿润处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076273.jpg,,,,,,,,,, +膨囊嵩草,Kobresia inflata,青藏队,2392,19810713,云南省,4600,高山草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00028934.jpg,,,,,,,,,, +膨囊嵩草,Kobresia inflata,青藏队,10703,19820926,西藏自治区,4500,"山坡,草地",草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00028932.jpg,,,,,,,,,, +膨囊嵩草,Kobresia inflata,张昌兵,HY0045,20091112,四川,3433,沙地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1398801.jpg,,,,,,,,,, +甘肃嵩草,Kobresia kansuensis,,294,19640709,青海省,4500,山顶和阴坡湿润处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082803.jpg,,,,,,,,,, +甘肃嵩草,Kobresia kansuensis,横断山队植被组,4066,19830610,四川省,4200,高山杜鹃灌丛内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048151.jpg,,,,,,,,,, +甘肃嵩草,Kobresia kansuensis,张经炜,1295,19730825,西藏自治区,4800,西北坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01572865.jpg,,,,,,,,,, +湖滨嵩草,Kobresia lacustris,青藏队,5112,19810822,四川省,4450,高山湖泊岸边,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00027460.jpg,,,,,,,,,, +湖滨蒿草,Kobresia lacustris,何兴金,胡灏禹,陈德友,魏先芹,SCU-09-354,20090824,四川,3447,路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1398896.jpg,,,,,,,,,, +湖滨嵩草,Kobresia lacustris,方震东、和光,D-009,20031015,云南省,4410,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007625.jpg,,,,,,,,,, +疏穗嵩草,Kobresia laxa,青藏队,5300,19750700,西藏自治区,2650,沟边 林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00028937.jpg,,,,,,,,,, +疏穗嵩草,Kobresia laxa,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20630,20200625,西藏,3867,高山灌丛,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1551932.jpg,,,,,,,,,, +坚挺嵩草,Kobresia littledalei,,,,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109843.jpg,,,,,,,,,, +黑脉嵩草,Kobresia loliacea,"汤宗孝,田效文,孙庆国",185,19820625,四川省,2980,撩荒地 山间平原,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705948.jpg,,,,,,,,,, +黑脉嵩草,Kobresia loliacea,北京所横断山队,1781,19810720,云南省,3300,云杉林缘 草甸常见草本,,无花有果,https://image.cvh.ac.cn/files/l/PE/01460124.jpg,,,,,,,,,, +木芒嵩草,Kobresia longearistita,青藏队,4880,19810816,四川省,3750,河滩 草地,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00027542.jpg,,,,,,,,,, +大花嵩草,Kobresia macrantha,"李渤生,程树志",5588,19830719,西藏自治区,3600,林缘草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098875.jpg,,,,,,,,,, +大花嵩草,Kobresia macrantha,谭仲明,93-117,19930717,四川省,3500,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01606997.jpg,,,,,,,,,, +大花嵩草,Kobresia macrantha,郭柯,K-35,19900618,青海省,4590,高寒草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506948.jpg,,,,,,,,,, +,Kobresia macroprophylla,,154,19640621,青海省,4200,山地阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082809.jpg,,,,,,,,,, +,Kobresia macroprophylla,陶德定,10418,19760529,西藏自治区,4300,河谷 柏树林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01460136.jpg,,,,,,,,,, +玛曲嵩草,Kobresia maquensis,黄河队,5473,19560711,甘肃省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/85968.jpg,,,,,,,,,, +玛曲嵩草,Kobresia maquensis,,28565,1980-9 1,四川省,3820,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0161320.jpg,,,,,,,,,, +门源嵩草,Kobresia menyuanica,陈晓澄等,5220,20130818,青海省,3755,高山草甸阴坡,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00017218.jpg,,,,,,,,,, +二蕊嵩草,Kobresia myosuroides subsp. bistaminata,陈晓澄等,4280A,20130809,青海省,3650,高山草甸阳坡,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00017201.jpg,,,,,,,,,, +二蕊嵩草,Kobresia myosuroides subsp. bistaminata,Ikeda,714019,20070811,甘肃省,2960~3650,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00017534.jpg,,,,,,,,,, +尼泊尔嵩草,Kobresia nepalensis,"李渤生,程树志,倪志诚",5956,19830728,西藏自治区,4300,高山灌丛草甸中局部优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098946.jpg,,,,,,,,,, +尼泊尔嵩草,Kobresia nepalensis,M.Minaki et al.,20673,19900807,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02012767.jpg,,,,,,,,,, +尼泊尔嵩草,Kobresia nepalensis,北京所横断山队,2129,19810727,云南省,4000~4250,高山草甸流石滩,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803727.jpg,,,,,,,,,, +,Kobresia parva,青藏队植被组,3920,19750610,西藏自治区,4100~4200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076505.jpg,,,,,,,,,, +,Kobresia parva,"汤宗孝,田效文,孙庆国",168,19820625,四川省,3250,半沼泽 草地 山脚,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705937.jpg,,,,,,,,,, +,Kobresia parva,,498,19640809,青海省,4200,阳坡滑塌碎石处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01460209.jpg,,,,,,,,,, +波斯嵩草,Kobresia persica,青藏队植被组,11697,19760605,西藏自治区,4500~5000,山坡及山顶 水边草种,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076172.jpg,,,,,,,,,, +波斯嵩草,Kobresia persica,陈家辉,庄会富,边巴扎西,YangYP-Q-2003,20090811,西藏,4591,河边草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1398874.jpg,,,,,,,,,, +波斯嵩草,Kobresia persica,青藏队 吴玉虎,1949,19880630,新疆维吾尔自治区 ,3900,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0221281.jpg,,,,,,,,,, +松林嵩草,Kobresia pinetorum,青藏队,14944,19831005,云南省,2600,山坡 云南松林下,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00027482.jpg,,,,,,,,,, +松林嵩草,Kobresia pinetorum,董建,28881,1982-7 2,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0161331.jpg,,,,,,,,,, +松林蒿草,Kobresia pinetorum,姜恕,6199,19600716,云南,,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/0371808.jpg,,,,,,,,,, +不丹嵩草,Kobresia prainii,"李渤生,程树志",5370,19830704,西藏自治区,4200,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098876.jpg,,,,,,,,,, +不丹嵩草,Kobresia prainii,北京所横断山队,3211,19810818,云南省,4240~4300,高山草甸中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803722.jpg,,,,,,,,,, +短轴嵩草,Kobresia prattii,,151,19640621,青海省,4300,山地、阴坡肩坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082836.jpg,,,,,,,,,, +短轴嵩草,Kobresia prattii,横断山队植被组,4946,19830810,四川省,4000~4200,(亚)高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048147.jpg,,,,,,,,,, +短轴嵩草,Kobresia prattii,横断山队植被组,4531,19830709,云南省,4300,紫花小叶杜鹃灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048135.jpg,,,,,,,,,, +高原嵩草,Kobresia pusilla,王金亭,3367,19610606,西藏自治区,4000,第三级阶地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060755.jpg,,,,,,,,,, +高原嵩草,Kobresia pusilla,南水北调队(滇西北),1183,19590621,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00027520.jpg,,,,,,,,,, +高原嵩草,Kobresia pusilla,青藏队,970,19590726,青海省,3600~3700,山间谷地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00027519.jpg,,,,,,,,,, +,Kobresia pygmaea var. filiculmis,"汤宗孝,田效文,孙庆国",298,19820710,四川省,3300,亚高山 草甸草场,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705974.jpg,,,,,,,,,, +,Kobresia pygmaea var. filiculmis,,76,19810810,云南省,3260,山间谷地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705972.jpg,,,,,,,,,, +粗壮嵩草,Kobresia robusta,,623,19640812,青海省,3800,通天河谷階地沙质土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082812.jpg,,,,,,,,,, +粗壮嵩草,Kobresia robusta,青藏队植被组,5780,19750808,西藏自治区,4500~4650,山麓 山坡 沙土地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076313.jpg,,,,,,,,,, +赤箭嵩草,Kobresia schoenoides,泛喜马拉雅植物志巴基斯坦采集队,FPH-1369,20120908,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02004409.jpg,,,,,,,,,, +赤箭嵩草,Kobresia schoenoides,T.S.Elias et al.,4609,19780825,,1650~2500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01722275.jpg,,,,,,,,,, +赤箭嵩草,Kobresia schoenoides,"张经炜,孙世洲",299,19720818,青海省,3579,祁连山南侧前山 柴达尔沟口高河漫滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01460963.jpg,,,,,,,,,, +,Kobresia setchwanensis,田效文,50(9),19810724,云南省,3840,亚高山 灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705962.jpg,,,,,,,,,, +,Kobresia setchwanensis,田效文,59,19840813,四川省,3500,山地下部,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705960.jpg,,,,,,,,,, +窄果嵩草,Kobresia stenocarpa,童浩华,1-112,19850815,西藏自治区,4267,沼泽地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705849.jpg,,,,,,,,,, +窄果嵩草,Kobresia stenocarpa,"郑度,郭柯",12031,19880624,新疆维吾尔自治区,4020,4020m高山草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468897.jpg,,,,,,,,,, +西藏嵩草,Kobresia tibetica,,102,19640619,青海省,4200,河边河漫滩潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082332.jpg,,,,,,,,,, +西藏嵩草,Kobresia tibetica,"李渤生,郑度,张百平",10519,19870709,新疆维吾尔自治区,3600,沼泽草甸优势物,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080755.jpg,,,,,,,,,, +西藏嵩草,Kobresia tibetica,张经炜,1318,19730826,西藏自治区,3800,河滩草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075987.jpg,,,,,,,,,, +芒鳞嵩草,Kobresia trinervis,青藏队植被组,3898,19750611,西藏自治区,4500~5000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01460981.jpg,,,,,,,,,, +芒鳞嵩草,Kobresia trinervis,俞德浚,11530,19380602,云南省,3600,水沟边,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0371842.jpg,,,,,,,,,, +芒鳞嵩草,Kobresia trinervis,俞德浚,8954,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0371848.jpg,,,,,,,,,, +玉龙嵩草,Kobresia tunicata,云南大学生物系,1038,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00027422.jpg,,,,,,,,,, +,Kobresia tunicata,"Handel-Mazzetti, Heinrich",2990,13-Jun-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00271737.jpg,,,,,,,,,, +短轴嵩草,Kobresia vidua,陈世龙,张得钧,高庆波,张发起,ChenSL0012,20080720,青海,3340,高山草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1398923.jpg,,,,,,,,,, +短轴嵩草,Kobresia vidua,不祥,415,19630725,青海省,3600,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/002695.jpg,,,,,,,,,, +短轴嵩草,Kobresia vidua,青藏队,6742,19750812,西藏自治区,5400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/49441.jpg,,,,,,,,,, +亚东嵩草,Kobresia yadongensis,西藏生物所植物组,273,19880805,西藏自治区,5150,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0008950.jpg,,,,,,,,,, +纤细嵩草,Kobresia yangii,四川植被调查队,3630,19730729,四川省,4800,高山,灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0371919.jpg,,,,,,,,,, +,Kobresia yangii,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-015-B21,20160805,四川,,高山栎群落中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00608275.jpg,,,,,,,,,, +,Kobresia yushuensis,,240,1965/7/4,青海,3800,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0261632.jpg,,,,,,,,,, +玉树嵩草,Kobresia yushuensis,不祥,240,19640704,青海省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0221522.jpg,,,,,,,,,, +玉树嵩草,Kobresia yushuensis,植被队,28225,1980-7 6,四川省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0161458.jpg,,,,,,,,,, +黑翅地肤,Kochia melanoptera,朱兆仪等,507,19580917,青海省,,草原植质壤土,,无花无果,https://image.cvh.ac.cn/files/l/PE/01614264.jpg,,,,,,,,,, +黑翅地肤,Kochia melanoptera,侯学煜,11453,,吉林省,150,盐堿土,,无花无果,https://image.cvh.ac.cn/files/l/PE/01581546.jpg,,,,,,,,,, +黑翅地肤,Kochia melanoptera,"李渤生,郑度,张百平",11307,19870827,新疆维吾尔自治区,2800,Wratoides落中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01341805.jpg,,,,,,,,,, +木地肤,Kochia prostrata,泛喜马拉雅植物志巴基斯坦采集队,FPH-0459,20120910,新疆维吾尔自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02005142.jpg,,,,,,,,,, +木地肤,Kochia prostrata,L.Averyanov,803,19780803,,2250,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922358.jpg,,,,,,,,,, +木地肤,Kochia prostrata,T.H.Ting,s.n.,19270810,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01817162.jpg,,,,,,,,,, +地肤,Kochia scoparia,周口店考察队,242,20080927,北京市,148,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112275.jpg,,,,,,,,,, +地肤,Kochia scoparia,Z.Barina,7091a,20040827,,257,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090706.jpg,,,,,,,,,, +地肤,Kochia scoparia,科学院黄河队甘一队,2355,19560900,甘肃省,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082600.jpg,,,,,,,,,, +[艹/洽]草(原变种),Koeleria cristata var. cristata,赵南先,237,1988-05-,安徽省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0115785.jpg,,,,,,,,,, +小花洽草,Koeleria cristata var. poiformis,冯虎元,LiuJQ-08KLS-126,20080910,青海,4666,高寒草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402493.jpg,,,,,,,,,, +,Koeleria litvinowii var. tafelii,Ho Ting-nung et al.,1496,19930819,青海省,4300~4400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00547114.jpg,,,,,,,,,, +蝎尾菊,Koelpinia linearis,Sino-Russian Altai Expedition,SRAE2004054,20040000,新疆维吾尔自治区,,Stony south-exposed steppe slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01767023.jpg,,,,,,,,,, +蝎尾菊,Koelpinia linearis,安峥夕,22548,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689247.jpg,,,,,,,,,, +蝎尾菊,Koelpinia linearis,青藏队,76-8174,19760703,西藏自治区,3200,山坡砾山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689246.jpg,,,,,,,,,, +冰岛蓼,Koenigia islandica,"Jin Xh,Wang LS Wang Q et al.",ST1773,20130803,云南省,3700~4231,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977477.jpg,,,,,,,,,, +冰岛蓼,Koenigia islandica,D.E.Boufford et al.,40414,20100823,甘肃省,3600~3620,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898972.jpg,,,,,,,,,, +冰岛蓼,Koenigia islandica,D.E.Boufford et al.,39556,20070812,四川省,3535,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898961.jpg,,,,,,,,,, +狭茎栗寄生,Korthalsella japonica var. fasciculata,白龙江考察队,1327,19990525,甘肃省,1500,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01556184.jpg,,,,,,,,,, +狭茎栗寄生,Korthalsella japonica var. fasciculata,姜恕等,1600,19590708,四川省,2550,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00891117.jpg,,,,,,,,,, +栗寄生,Korthalsella japonica var. japonica,郭绍荣,,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0012055.jpg,,,,,,,,,, +,Krascheninnikovia arborescens,张彩飞,1160,20080906,甘肃省,2100,干旱山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859353.jpg,,,,,,,,,, +,Krascheninnikovia arborescens,俞德俊,2609,19330000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00146773.jpg,,,,,,,,,, +,Krascheninnikovia ceratoides,陈又生等,141053,20140729,内蒙古自治区,,荒漠山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031181.jpg,,,,,,,,,, +,Krascheninnikovia ceratoides,泛喜马拉雅植物志巴基斯坦采集队,FPH-1311,20120908,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004754.jpg,,,,,,,,,, +,Krascheninnikovia ceratoides,FLPH Tibet Expedition,12-0082,20120903,西藏自治区,4633,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967670.jpg,,,,,,,,,, +鸡眼草,Kummerowia striata,生态室,,19650927,四川省,1800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233613.jpg,,,,,,,,,, +鸡眼草,Kummerowia striata,邵剑文,2012354s,20120918,安徽省,100,road side,,无花无果,https://image.cvh.ac.cn/files/l/PE/02015441.jpg,,,,,,,,,, +鸡眼草,Kummerowia striata,邓云飞等,15099,20001002,广西壮族自治区,900,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996824.jpg,,,,,,,,,, +短叶水蜈蚣,Kyllinga brevifolia,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",1217,20021113,云南省,2480,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102135.jpg,,,,,,,,,, +短叶水蜈蚣,Kyllinga brevifolia,程万,148,19750910,江西省,1040,潮湿草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02087235.jpg,,,,,,,,,, +短叶水蜈蚣,Kyllinga brevifolia,西藏中草药普查队,1358,19720819,西藏自治区,1740,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076354.jpg,,,,,,,,,, +黑籽水蜈蚣,Kyllinga melanosperma,Fung H.,20225,19320320,广东省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00028820.jpg,,,,,,,,,, +黑籽水蜈蚣,Kyllinga melanosperma,Tsang Wai-Tak,233,19280504,海南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00028818.jpg,,,,,,,,,, +黑籽水蜈蚣,Kyllinga melanosperma,付竞秋,787,19580922,河南省,0~740,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0694814.jpg,,,,,,,,,, +冠鳞水蜈蚣,Kyllinga squamulata,青藏队横断山队,4319,19810825,四川省,3000,河边 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191218.jpg,,,,,,,,,, +冠鳞水蜈蚣,Kyllinga squamulata,,,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00028841.jpg,,,,,,,,,, +冠鳞水蜈蚣,Kyllinga squamulata,,83752,19390925,云南省 ,0~1300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0694841.jpg,,,,,,,,,, +裂叶莴苣,Lactuca dissecta,"张永田,郞楷永",4443,19660623,西藏自治区,2000,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01688761.jpg,,,,,,,,,, +裂叶莴苣,Lactuca dissecta,S.I.Ali etc.,3271,19891003,Karachi,1620,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/754183.jpg,,,,,,,,,, +蒙山莴苣,Lactuca tatarica,黄河队,792,19540728,甘肃省,1200,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061150.jpg,,,,,,,,,, +蒙山莴苣,Lactuca tatarica,,封116,19840500,,200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056454.jpg,,,,,,,,,, +蒙山莴苣,Lactuca tatarica,"陈又生,袁慊,徐连升等",141149,20140731,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037164.jpg,,,,,,,,,, +瓶头草,Lagenophora stipitata,青藏队,9332,19820814,云南省,1700~1800,山坡 常绿阔叶林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190811.jpg,,,,,,,,,, +瓶头草,Lagenophora stipitata,中草药组,90,19700528,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0605392.jpg,,,,,,,,,, +瓶头草,Lagenophora stipitata,,21014,,广西壮族自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0605395.jpg,,,,,,,,,, +,Lagerstroemia minuticarpa,"李渤生,程树志",2646,19830122,西藏自治区,1100~850,林边半常绿雨林优势乔木之一,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077837.jpg,,,,,,,,,, +,Lagerstroemia minuticarpa,青藏队,9197,19820809,云南省,1300~1400,山坡 常绿阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01129215.jpg,,,,,,,,,, +,Laggera crispata,林秦文,2013-145,20130531,云南省,1600~1750,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040559.jpg,,,,,,,,,, +,Laggera crispata,蔡杰,15CS10015,20150409,云南,,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375929.jpg,,,,,,,,,, +翼齿六棱菊,Laggera crispata,田林普查队,4.51E+14,20130320,广西壮族自治区,443,草丛,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI055748.jpg,,,,,,,,,, +喀什兔唇花,Lagochilus kaschgaricus,新疆采集队,1617,1978/7/25,新疆维吾尔族自治区,2260,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0336117.jpg,,,,,,,,,, +喀什兔唇花,Lagochilus kaschgaricus,青藏队,870100,19870623,新疆维吾尔自治区,3120,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/144222.jpg,,,,,,,,,, +喀什兔唇花,Lagochilus kaschgaricus,,9716,59.06.20,新疆维吾尔自治区 ,3000,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00032354.jpg,,,,,,,,,, +大齿兔唇花,Lagochilus macrodontus,周太炎,650264,,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0588183.jpg,,,,,,,,,, +大齿兔唇花,Lagochilus macrodontus,段士民,王习勇等,61,2007081,新疆,1910,森林草原带,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1388469.jpg,,,,,,,,,, +阔刺兔唇花,Lagochilus platyacanthus,"李渤生,郑度,张百明",10039,19870617,新疆维吾尔自治区,2180,第三江水沙岩 坡地所见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345321.jpg,,,,,,,,,, +阔刺兔唇花,Lagochilus platyacanthus,刘国钧,730,60.06.19,新疆维吾尔自治区 ,1400,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00032376.jpg,,,,,,,,,, +阔刺兔唇花,Lagochilus platyacanthus,刘国钧,730,600619,,1400,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20003277.jpg,,,,,,,,,, +毛穗夏至草,Lagopsis eriostachys,李渤生等,11153,19870820,新疆维吾尔自治区,5300~5600,高山山坡及河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804985.jpg,,,,,,,,,, +毛穗夏至草,Lagopsis eriostachys,新疆调查队,1720,19560809,青海省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00785107.jpg,,,,,,,,,, +毛穗夏至草,Lagopsis eriostachys,生物研究所西藏考察队,3525,19740715,西藏自治区,4800,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/41000.jpg,,,,,,,,,, +黄花夏至草,Lagopsis flava,青藏队植被组,13572,19721002,西藏自治区,5050,宽谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01496157.jpg,,,,,,,,,, +黄花夏至草,Lagopsis flava,"李安仁,朱家楠",5736,19580618,新疆维吾尔自治区,2100,山坡阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00785116.jpg,,,,,,,,,, +黄花夏至草,Lagopsis flava,邱爱军,张玲,马帅等,LiZJ1694,20100815,新疆,2686,山前草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1388471.jpg,,,,,,,,,, +夏至草,Lagopsis supina,何叶祺,4279,19590724,甘肃省,2100,田边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115507.jpg,,,,,,,,,, +夏至草,Lagopsis supina,石雷 林秦文,2011053,20110415,北京市,80,河边公路边荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112317.jpg,,,,,,,,,, +夏至草,Lagopsis supina,黄河队,8315,19560827,陕西省,1900,路边阳处,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082579.jpg,,,,,,,,,, +裂唇革叶兔耳草,Lagotis alutacea var. rockii,横断山队植被组,4431,19830706,云南省,4400~4700,高山流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01382914.jpg,,,,,,,,,, +狭苞兔耳草,Lagotis angustibracteata,王为义等,540,19850620,青海省,4850,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/109927.jpg,,,,,,,,,, +短穗兔耳草,Lagotis brachystachya,PE西藏考察队,7271,20180615,西藏自治区,4458,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331895.jpg,,,,,,,,,, +短穗兔耳草,Lagotis brachystachya,郭柯,K-43,19900619,青海省,4860,高寒草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099603.jpg,,,,,,,,,, +短筒兔耳草,Lagotis brevituba,"郭本兆,王为义",11398,19750717,青海省,4150,砾石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475538.jpg,,,,,,,,,, +短筒兔耳草,Lagotis brevituba,青藏队植被组,9345,19760731,西藏自治区,5044,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475539.jpg,,,,,,,,,, +大萼兔耳草,Lagotis clarkei,陶德定,11153,19760903,西藏自治区,4900~5200,高山流石滩山腰滑坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01475480.jpg,,,,,,,,,, +大萼兔耳草,Lagotis clarkei,Y.Omori et al.,9950023,19990808,,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475345.jpg,,,,,,,,,, +厚叶兔耳草,Lagotis crassifolia,PE西藏考察队,8027,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332020.jpg,,,,,,,,,, +倾卧兔耳草,Lagotis decumbens,李渤生,11784,19880630,新疆维吾尔自治区,5100,高山水流边多见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01469298.jpg,,,,,,,,,, +倾卧兔耳草,Lagotis decumbens,青藏队,9006,19760812,西藏自治区,5100,山坡水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01383020.jpg,,,,,,,,,, +矮兔耳草,Lagotis humilis,青藏队植被组,3932,19750612,西藏自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475463.jpg,,,,,,,,,, +全缘兔耳草,Lagotis integra,D.E.Boufford & B.Bartholomew et al.,36196,20060809,四川省,4640~4830,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054035.jpg,,,,,,,,,, +全缘兔耳草,Lagotis integra,D.E.Boufford et al.,32283,20040813,西藏自治区,4440~4665,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052729.jpg,,,,,,,,,, +,Lagotis kongboensis,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-1020,20080723,西藏自治区,5307,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1382842.jpg,,,,,,,,,, +大筒兔耳草,Lagotis macrosiphon,PE西藏队,PE5954,20170905,西藏自治区,4780,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330881.jpg,,,,,,,,,, +大筒兔耳草,Lagotis macrosiphon,,s.n.,,甘肃省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0556181.jpg,,,,,,,,,, +紫叶兔耳草,Lagotis praecox,"D.E.Boufford,B.Bartholomew,S.L.Kelley etc.",36154,20060809,四川省,4200~4500,S-facing mountainside heavily grazed at lower elevations with scattered shrubs and sandy-gravelly slopes and scree slope scree slope and sandy-gravelly slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079555.jpg,,,,,,,,,, +紫叶兔耳草,Lagotis praecox,傅国勋,230,19600611,西藏自治区,4200,阳山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01383104.jpg,,,,,,,,,, +紫叶兔耳草,Lagotis praecox,果洛队,425,19710801,青海省,4520,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/25501.jpg,,,,,,,,,, +圆叶兔耳草,Lagotis ramalana,T.Naito et al. ,589,19860502,四川省,4300,On sliding ground on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475466.jpg,,,,,,,,,, +圆叶兔耳草,Lagotis ramalana,陶德定,10502,19760610,西藏自治区,5300,高山草地冰河流水坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475464.jpg,,,,,,,,,, +箭药兔耳草,Lagotis wardii,刘尚武,1210,19650719,青海省,4600,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475484.jpg,,,,,,,,,, +箭药兔耳草,Lagotis wardii,K.M.Feng,6094,19400801,云南省,3700~4000,草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01383117.jpg,,,,,,,,,, +,Lagotis wardii,Kingdon-Ward Frank,1043,13-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00327134.jpg,,,,,,,,,, +云南兔耳草,Lagotis yunnanensis,D.E.Boufford et al.,29432,20000714,西藏自治区,4400~4500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02052731.jpg,,,,,,,,,, +云南兔耳草,Lagotis yunnanensis,T.Naito et al. ,589,19860503,四川省,4300,on sliding ground on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803461.jpg,,,,,,,,,, +无毛独一味,Lamiophlomis rotata var. subglabra,青藏队植被组,4189,19750625,西藏自治区,3800~4100,石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00922938.jpg,,,,,,,,,, +短柄野芝麻,Lamium album,Tang,1417,19860607,江苏省,750,阔叶林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241334.jpg,,,,,,,,,, +短柄野芝麻,Lamium album,"G.Fayvush,K.Tamanyan,K.Kugler,E.Vitek",08-0685,20080622,,1365,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101928.jpg,,,,,,,,,, +短柄野芝麻,Lamium album,"张新时,郭柯",天山-215,19860801,新疆维吾尔自治区,2990,冰碛坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097545.jpg,,,,,,,,,, +宝盖草,Lamium amplexicaule,PE西藏考察队,7521,20180618,西藏自治区,4160,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332577.jpg,,,,,,,,,, +宝盖草,Lamium amplexicaule,何叶祺,4304,19590724,甘肃省,2100,水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115503.jpg,,,,,,,,,, +宝盖草,Lamium amplexicaule,"H.Li,S.X.Yang,R.Li etc.",897,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110524.jpg,,,,,,,,,, +野芝麻,Lamium barbatum,"朱大海,王炳锋,苏小镔,汪宇峰",31,20020315,四川省,1280,山谷沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114923.jpg,,,,,,,,,, +野芝麻,Lamium barbatum,"龙茹,郑宝汇",90142,20090504,湖北省,1500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989726.jpg,,,,,,,,,, +野芝麻,Lamium barbatum,谭策铭,93028,19930402,江西省,150,山脚地堪力水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883862.jpg,,,,,,,,,, +粗毛肉果草,Lancea hirsuta,夏至,X2-2007-0524,20070911,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919967.jpg,,,,,,,,,, +,Lancea hirsuta,"张挺,蔡杰,刘恩德,陈家辉",SCSB-B-000482,20070916,西藏自治区,3914,湖边灌丛下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1382845.jpg,,,,,,,,,, +粗毛肉果草,Lancea hirsuta,周兴民,?,199807?,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/182915.jpg,,,,,,,,,, +肉果草,Lancea tibetica,PE西藏考察队,7711,20180623,西藏自治区,4175,流石滩,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332622.jpg,,,,,,,,,, +肉果草,Lancea tibetica,"汤宗孝,柏正强,任文夫",745,19930809,四川省,3200,草甸草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115649.jpg,,,,,,,,,, +珠芽艾麻,Laportea bulbifera,PE西藏队,PE5754,20170903,西藏自治区,1683~2900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293747.jpg,,,,,,,,,, +珠芽艾麻,Laportea bulbifera,"刘杰,吴增源",liuj-10795,20101007,浙江省,1062,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062418.jpg,,,,,,,,,, +珠芽艾麻,Laportea bulbifera,梁同军,6,20150615,江西省,1500,生于山地林边或林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042764.jpg,,,,,,,,,, +艾麻,Laportea cuspidata,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET 3370,20080720,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108203.jpg,,,,,,,,,, +艾麻,Laportea cuspidata,"吴增源,刘杰",WuZY2012178,20120820,湖北省,1173,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062515.jpg,,,,,,,,,, +艾麻,Laportea cuspidata,"吴增源,刘铭璐",WuZY-2012033,20120721,四川省,2425,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062509.jpg,,,,,,,,,, +墨脱艾麻,Laportea medogensis,倪志诚等,1981,19810905,西藏自治区,2200,山坡林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846727.jpg,,,,,,,,,, +密丛鹤虱,Lappula caespitosa,青藏队植被组,12767,19760705,西藏自治区,4200,干沟内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519083.jpg,,,,,,,,,, +密丛鹤虱,Lappula caespitosa,青藏队,76-7922,19760705,西藏,4200,山坡冲沟砂砾地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1218681.jpg,,,,,,,,,, +蓝刺鹤虱,Lappula consanguinea,清水建美等,189,19850723,新疆维吾尔自治区,2500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01360990.jpg,,,,,,,,,, +蓝刺鹤虱,Lappula consanguinea,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",1549,19930821,青海省,3200,"Lake shore open sandy soil with stoloniferous Ranunculous,slightly higher zone with dense turf",,有花有果,https://image.cvh.ac.cn/files/l/PE/01360987.jpg,,,,,,,,,, +蓝刺鹤虱,Lappula consanguinea,T.S.Elias et al.,4438,19780821,,1000~900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01360915.jpg,,,,,,,,,, +,Lappula duplicicarpa,王义凤,W-44,19590528,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01338607.jpg,,,,,,,,,, +两形果鹤虱,Lappula duplicicarpa,青甘调查队,140,19590613,青海省,2800,沙质戈壁滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/01338602.jpg,,,,,,,,,, +费尔干鹤虱,Lappula ferganensis,郝加琛、周瑜,16825,20160719,新疆维吾尔自治区,,砾石山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0042995.jpg,,,,,,,,,, +喜马拉雅鹤虱,Lappula himalayensis,PE西藏考察队,7739,20180624,西藏自治区,3902,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332023.jpg,,,,,,,,,, +喜马拉雅鹤虱,Lappula himalayensis,S.Noshiro etc.,20104201,20010816,,3710,stony barren place,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261051.jpg,,,,,,,,,, +小果鹤虱,Lappula microcarpa,李振宇等,12391,20120727,新疆维吾尔自治区,2000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921145.jpg,,,,,,,,,, +小果鹤虱,Lappula microcarpa,L.Ivanina et al.,312,19780623,,1100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917782.jpg,,,,,,,,,, +鹤虱,Lappula myosotis,PE西藏考察队,7013,20180608,西藏自治区,3892,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332605.jpg,,,,,,,,,, +鹤虱,Lappula myosotis,陈全胜,CF07-4108,20180627,内蒙古自治区,1451,沙质草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247138.jpg,,,,,,,,,, +鹤虱,Lappula myosotis,"石硕,祝东立,祝振清",SZ3718,20140807,河北省,1236,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035769.jpg,,,,,,,,,, +卵果鹤虱,Lappula patula,郭柯等,天025,19860802,新疆维吾尔自治区,,路边倒石堆,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804893.jpg,,,,,,,,,, +卵果鹤虱,Lappula patula,,5097,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468541.jpg,,,,,,,,,, +草地鹤虱,Lappula pratensis,何毅,周瑜,BNU2017XJ264,20170711,新疆维吾尔自治区,1350,荒坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0033452.jpg,,,,,,,,,, +卵盘鹤虱,Lappula redowskii,"刘冰,刘夙",680,20070524,河北省,793,灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040618.jpg,,,,,,,,,, +卵盘鹤虱,Lappula redowskii,李振宇等,12453,20120730,新疆维吾尔自治区,,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921150.jpg,,,,,,,,,, +卵盘鹤虱,Lappula redowskii,Richard R. Halse,3450,19870604,,248,In disturbed areas at the edge of a wheat field,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885848.jpg,,,,,,,,,, +异形狭果鹤虱,Lappula semiglabra var. heterocaryoides,秦仁昌,66,19560703,甘肃省,,砾质荒漠,,无花有果,https://image.cvh.ac.cn/files/l/PE/01338928.jpg,,,,,,,,,, +异形狭果鹤虱,Lappula semiglabra var. heterocaryoides,杨昌友,750085,19750529,新疆维吾尔自治区,3000,沿河碎石堆中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01338927.jpg,,,,,,,,,, +异形狭果鹤虱,Lappula semiglabra var. heterocaryoides,中国科学院青甘调查队,236,19590711,青海省,3060,河漫滩砂丘旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01338925.jpg,,,,,,,,,, +绢毛鹤虱,Lappula sericata,李振宇等,12461,20120730,新疆维吾尔自治区,,水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921149.jpg,,,,,,,,,, +绢毛鹤虱,Lappula sericata,张振万,胡志新,张荣生,3222,1974/7/13,新疆维吾尔族自治区,2100,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0298667.jpg,,,,,,,,,, +绢毛鹤虱,Lappula sericata,武素功 吴玉虎 费勇,4819,19890806,新疆维吾尔自治区 ,2800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/154167.jpg,,,,,,,,,, +山西鹤虱,Lappula shanhsiensis,刘冰,208,20060730,内蒙古自治区,1300,盐生草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810069.jpg,,,,,,,,,, +山西鹤虱,Lappula shanhsiensis,"李渤生,程树志",483,19820902,西藏自治区,3150,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648878.jpg,,,,,,,,,, +山西鹤虱,Lappula shanhsiensis,何叶祺,4488,19590707,甘肃省,2700,沟旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01576591.jpg,,,,,,,,,, +短梗鹤虱,Lappula tadshikorum,关克俭,4440,19570922,新疆维吾尔自治区,,路边干沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/01361014.jpg,,,,,,,,,, +短梗鹤虱,Lappula tadshikorum,西植新疆队,889,1978/7/4,新疆维吾尔族自治区,3520,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0333780.jpg,,,,,,,,,, +短梗鹤虱,Lappula tadshikorum,西植新疆队,889,1978/7/4,新疆,3520,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/333780.jpg,,,,,,,,,, +,Larix gmelinii var. principis-rupprechtii,黄河调查队,2458,19550705,山西省,2150,山坡阳处疏林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02082093.jpg,,,,,,,,,, +,Larix gmelinii var. principis-rupprechtii,"石硕,李攀",SZ3432,20140511,河北省,1770,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035025.jpg,,,,,,,,,, +,Larix griffithii,倪志诚等,2449,19810925,西藏自治区,3500,山坡灌木中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00063831.jpg,,,,,,,,,, +喜马拉雅落叶松,Larix himalaica,"唐宇丹,林秦文",2010163,20100926,西藏自治区,3550,南北向沟谷西坡、沙土和腐殖地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02023291.jpg,,,,,,,,,, +日本落叶松,Larix kaempferi,"张志耘,谢磊",2013-097,20130604,山东省,230,valley roadside,,无花有果,https://image.cvh.ac.cn/files/l/PE/01977816.jpg,,,,,,,,,, +日本落叶松,Larix kaempferi,Kazutaka Kobayashi,72,20081010,,150~180,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01969517.jpg,,,,,,,,,, +日本落叶松,Larix kaempferi,王映明,6530,19880918,湖北省,1370,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805591.jpg,,,,,,,,,, +四川红杉,Larix mastersiana,Chin-Sung Chang et al.,SI0064,20040707,四川省,3720,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01523219.jpg,,,,,,,,,, +四川红杉,Larix mastersiana,杨金祥,2348,19630918,西藏自治区,2800,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0140771.jpg,,,,,,,,,, +四川红杉,Larix mastersiana,F.T.Wang,21159,1930/6/4,四川,2200,,tree,无花无果,https://image.cvh.ac.cn/files/l/WUK/0044400.jpg,,,,,,,,,, +黄花落叶松,Larix olgensis,温带森林组,155,19620620,吉林省,900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01963502.jpg,,,,,,,,,, +黄花落叶松,Larix olgensis,"罗方梅,伍正容,刘金鉴",果1036,19580831,辽宁省,,次生林地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01375627.jpg,,,,,,,,,, +,Larix potaninii var. australis,韩裕丰等,83-241,19830811,四川省,3400,高山栎混生,,无花有果,https://image.cvh.ac.cn/files/l/PE/00982946.jpg,,,,,,,,,, +,Larix potaninii var. australis,韩裕丰等,81-1772,19810824,云南省,4200,落叶松林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00982941.jpg,,,,,,,,,, +,Larix potaninii var. potaninii,"Handel-Mazzetti, Heinrich",9176,5-Jul-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00251085.jpg,,,,,,,,,, +,Larix potaninii var. potaninii,王乾、顾健,SCW1705,20200617,四川,3581.8,丽江云杉、红杉、黄背栎林,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260193.jpg,,,,,,,,,, +怒江红杉,Larix speciosa,"李渤生,程树志",1239,19821011,西藏自治区,3000~3600,冷棚林上段,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073430.jpg,,,,,,,,,, +怒江红杉,Larix speciosa,北京所横断山队,3224,19810818,云南省,4200~4300,高山 林线附近或小片林 灌丛草甸中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01539512.jpg,,,,,,,,,, +刺芋,Lasia spinosa,冯国楣,20549,19550421,云南省,650,山谷溪旁密林中潮湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/01436266.jpg,,,,,,,,,, +刺芋,Lasia spinosa,梁向日,69412,,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01436258.jpg,,,,,,,,,, +,Lasianthus attenuatus,王洪,4343,20000311,云南省,1300,沟谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01590068.jpg,,,,,,,,,, +斜基粗叶木,Lasianthus attenuatus,十万大山采集队,3183,20100719,广西壮族自治区,350,山坡路旁,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00234074.jpg,,,,,,,,,, +梗花粗叶木,Lasianthus biermanni,"李渤生,程树志",2386,19821231,西藏自治区,1400~1900,林中常见灌木,,无花有果,https://image.cvh.ac.cn/files/l/PE/01590074.jpg,,,,,,,,,, +梗花粗叶木,Lasianthus biermanni,王封才,438,20041006,贵州省,470,溪沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01590070.jpg,,,,,,,,,, +梗花粗叶木,Lasianthus biermanni,湘西调查队,362,19530729,湖南省,,山坡 杉密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01581990.jpg,,,,,,,,,, +,Lasianthus japonicus subsp. longicaudus,张贵良,ZhangGL063,20151026,云南省,2160,常绿阔叶林,半灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1375589.jpg,,,,,,,,,, +云广粗叶木,Lasianthus japonicus subsp. longicaudus,熊济华,张秀实,蒋兴麐,32844,19520000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00250169.jpg,,,,,,,,,, +无苞粗叶木,Lasianthus lucidus,S.K.WU et al.,3296,19951027,云南省,1900~2500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01884763.jpg,,,,,,,,,, +无苞粗叶木,Lasianthus lucidus,孙洪范,9340,19640603,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0444606.jpg,,,,,,,,,, +无苞粗叶木,Lasianthus lucidus,M.K.Li,622,19391016,云南省 ,0~1420,,shrub.,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0693064.jpg,,,,,,,,,, +小花粗叶木,Lasianthus micranthus,780植被组,14,19751026,云南省,1800,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01804158.jpg,,,,,,,,,, +小花粗叶木,Lasianthus micranthus,邓良,2392,19560817,广东省,,水旁 山谷阴处 疏林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00737821.jpg,,,,,,,,,, +小花粗叶木,Lasianthus micranthus,吴圣杰等,s.n.,19971022,台湾省,200~300,Mountain slope Secondary vegetation,,有花有果,https://image.cvh.ac.cn/files/l/PE/00737818.jpg,,,,,,,,,, +锡金粗叶木,Lasianthus sikkimensis,王洪,7208,20040505,云南省,1250,沟谷林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01590143.jpg,,,,,,,,,, +锡金粗叶木,Lasianthus sikkimensis,"李渤生,程树志",3853,19830328,西藏自治区,750,半常绿雨林下优势灌木之一,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468252.jpg,,,,,,,,,, +毛果草,Lasiocaryum densiflorum,PE西藏队,PE5392,20170828,西藏自治区,4516,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330433.jpg,,,,,,,,,, +毛果草,Lasiocaryum densiflorum,D.E.Boufford et al.,35297,20060725,云南省,4020,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856054.jpg,,,,,,,,,, +小花毛果草,Lasiocaryum munroi,傅国勋,977,19600724,西藏自治区,3400,山坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01339008.jpg,,,,,,,,,, +云南毛果草,Lasiocaryum trichocarpum,D.E.Boufford et al,42157,20100722,云南省,3680~3840,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883696.jpg,,,,,,,,,, +云南毛果草,Lasiocaryum trichocarpum,J.F.Rock,16246,19280600,四川省,3050~4875,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01360974.jpg,,,,,,,,,, +大山黧豆,Lathyrus davidii,,27,19790712,辽宁省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094370.jpg,,,,,,,,,, +大山黧豆,Lathyrus davidii,"H.-J.Kim,S.-H.Lee",201112-0088,20110821,,816,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043507.jpg,,,,,,,,,, +大山黧豆,Lathyrus davidii,"王忠涛,顾大滨等",396,19860703,北京市,740,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820924.jpg,,,,,,,,,, +,Lathyrus dielsianus,黄河调查队,534,19570527,山西省,1500,沟底阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821903.jpg,,,,,,,,,, +,Lathyrus dielsianus,T.N.Liou & P.C.Tsoong,2083,19380712,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821898.jpg,,,,,,,,,, +,Lathyrus dielsianus,H.Migo,,19370714,福建省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00417567.jpg,,,,,,,,,, +,Lathyrus palustris var. pilosus,温带森林组,1218,19630820,吉林省,650,阳处 较湿润,,无花无果,https://image.cvh.ac.cn/files/l/PE/01609991.jpg,,,,,,,,,, +,Lathyrus palustris var. pilosus,,迁西367,19720624,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01237161.jpg,,,,,,,,,, +,Lathyrus palustris var. pilosus,Miyoshi Furuse,9172,19750720,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01171827.jpg,,,,,,,,,, +牧地山黧豆,Lathyrus pratensis,"张新时,郭柯",天山-445,19860806,新疆维吾尔自治区,2680,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097541.jpg,,,,,,,,,, +牧地山黧豆,Lathyrus pratensis,A.Adamkova,,19760813,,750~800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038616.jpg,,,,,,,,,, +牧地山黧豆,Lathyrus pratensis,"万涛,王文广,刘平等",WL0003,20140711,四川省,2560,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020998.jpg,,,,,,,,,, +山黧豆,Lathyrus quinquenervius,陈全胜,CF09-4142,20180630,内蒙古自治区,1159,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246814.jpg,,,,,,,,,, +山黧豆,Lathyrus quinquenervius,兰大5组,252,19630707,甘肃省,2100,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833758.jpg,,,,,,,,,, +山黧豆,Lathyrus quinquenervius,"陈,孔",97,19620625,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810835.jpg,,,,,,,,,, +,Launaea polydichotoma,"陈又生,袁慊,徐连升等",140931,20140726,内蒙古自治区,1200,荒漠,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045982.jpg,,,,,,,,,, +毛背桂樱,Laurocerasus hypotricha,,5158,19580926,江西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01852994.jpg,,,,,,,,,, +毛背桂樱,Laurocerasus hypotricha,吕清华,2099,19581111,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01852993.jpg,,,,,,,,,, +毛背桂樱,Laurocerasus hypotricha,蒋兴麟,37928,19531004,四川省,1240,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01852992.jpg,,,,,,,,,, +微齿桂樱,Laurocerasus phaeosticta f. lasioclada,"覃海宁,王印政,闫丽春等",174,19980409,广西壮族自治区,1100,山地 山谷 密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982800.jpg,,,,,,,,,, +微齿桂樱,Laurocerasus phaeosticta f. lasioclada,税玉民等,266,19991020,云南省,2480,南部河附近,,无花有果,https://image.cvh.ac.cn/files/l/PE/01852533.jpg,,,,,,,,,, +微齿桂樱,Laurocerasus phaeosticta f. lasioclada,邓云飞等,10268,19970418,湖南省,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00995798.jpg,,,,,,,,,, +,Laurocerasus phaeosticta f. phaeosticta,黄颖锋、韦明思,18587,20080525,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0061791.jpg,,,,,,,,,, +腺叶桂樱,Laurocerasus phaeosticta f. phaeosticta,凌云普查队,4.51E+14,20130720,广西,950,阔叶林,林缘,小乔木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0117340.jpg,,,,,,,,,, +腺叶桂樱,Laurocerasus phaeosticta f. phaeosticta,蓝开敏,85-0274,19850424,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0002338.jpg,,,,,,,,,, +钝齿尖叶桂樱,Laurocerasus undulata f. microbotrys,北京队,890167,19890423,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01982791.jpg,,,,,,,,,, +钝齿尖叶桂樱,Laurocerasus undulata f. microbotrys,T.N.Liou,L.6293,19361203,,579,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01656210.jpg,,,,,,,,,, +钝齿尖叶桂樱,Laurocerasus undulata f. microbotrys,邓云飞等,11984,19971020,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629728.jpg,,,,,,,,,, +尖叶桂樱,Laurocerasus undulata f. undulata,武素功,税玉民等,418,19951016,云南省,1900~1700,Evergreen broad leaf forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/772372.jpg,,,,,,,,,, +大叶桂樱,Laurocerasus zippeliana,武陵山考察队,1687,19880816,贵州省,1050,沟谷阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982782.jpg,,,,,,,,,, +大叶桂樱,Laurocerasus zippeliana,北京队,890563,19890429,广西壮族自治区,350,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01982783.jpg,,,,,,,,,, +大叶桂樱,Laurocerasus zippeliana,T.Miyazaki,1211361,20121123,,100~80,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01943712.jpg,,,,,,,,,, +假楼梯草,Lecanthus peduncularis,"刘杰,李晓利,董志巍",GLGE14861,20140730,云南省,2094,常绿阔叶林中,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328002.jpg,,,,,,,,,, +假楼梯草,Lecanthus peduncularis,236 四川任务组,202,19720731,四川省,1000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02085474.jpg,,,,,,,,,, +假楼梯草,Lecanthus peduncularis,吴增源等,WuZY2012406,20121027,台湾省,1674,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02062653.jpg,,,,,,,,,, +密花火筒树,Leea compactiflora,C.W.Wang,76617,19360500,云南省,1300,foot of hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860623.jpg,,,,,,,,,, +密花火筒树,Leea compactiflora,"李渤生,程树志",3239,19821201,西藏自治区,1100,林中缠绕,,无花有果,https://image.cvh.ac.cn/files/l/PE/01810558.jpg,,,,,,,,,, +大叶火筒树,Leea macrophylla,青藏队,4117,19740806,西藏自治区,1000,山坡阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00687733.jpg,,,,,,,,,, +大叶火筒树,Leea macrophylla,秦仁昌,50446,19520000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00687725.jpg,,,,,,,,,, +大叶火筒树,Leea macrophylla,J.F.Maxwell,947,19880730,,450,open thickets marshy plsoe with gro wth bo rdering rivce nelde,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0456484.jpg,,,,,,,,,, +假稻,Leersia japonica,,13,19750811,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487814.jpg,,,,,,,,,, +假稻,Leersia japonica,,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01487788.jpg,,,,,,,,,, +假稻,Leersia japonica,"陈耀东,马欣堂",1356,19870725,山东省,40,水中水深约1.5m,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437221.jpg,,,,,,,,,, +大丁草,Leibnitzia anandria,张彩飞,2254,20100503,陕西省,1100,山坡矮灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247728.jpg,,,,,,,,,, +大丁草,Leibnitzia anandria,张彩飞,2274,20100507,辽宁省,,山坡开阔处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247727.jpg,,,,,,,,,, +大丁草,Leibnitzia anandria,张彩飞,3033,20110928,北京市,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247726.jpg,,,,,,,,,, +,Leibnitzia nepalensis,张彩飞,2293,20100820,西藏自治区,3640,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02247733.jpg,,,,,,,,,, +,Leibnitzia nepalensis,张彩飞,2510,20100915,云南省,3150,栎灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247657.jpg,,,,,,,,,, +灰岩大丁草,Leibnitzia pusilla,王启无,66541,19350000,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00490782.jpg,,,,,,,,,, +,Leibnitzia ruficoma,张彩飞,1442,20080929,云南省,2900,松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247644.jpg,,,,,,,,,, +,Leibnitzia ruficoma,D.E. Boufford et al.,43193,20130823,四川省,3275,On steep stony slope above stream.,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919878.jpg,,,,,,,,,, +,Leibnitzia ruficoma,康藏植物考察队,10-2056,20100816,西藏自治区,4066,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917542.jpg,,,,,,,,,, +浮萍,Lemna minor,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T301,20160918,西藏自治区,712,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233065.jpg,,,,,,,,,, +浮萍,Lemna minor,覃海宁等,1911,19981030,广西壮族自治区,920,田间,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017461.jpg,,,,,,,,,, +品藻,Lemna trisulca,深圳队,1260,19990325,广东省,100,水沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098428.jpg,,,,,,,,,, +品藻,Lemna trisulca,"R.Kish #,I.Danylyk",2375,20020816,,106,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950444.jpg,,,,,,,,,, +品藻,Lemna trisulca,王启无,70492,19350600,云南省,2000,water,,有花有果,https://image.cvh.ac.cn/files/l/PE/01712980.jpg,,,,,,,,,, +兵豆,Lens culinaris,兰大5组,224,19630707,甘肃省,2100,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833788.jpg,,,,,,,,,, +兵豆,Lens culinaris,牧草组,88,19560725,北京市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01827109.jpg,,,,,,,,,, +兵豆,Lens culinaris,青藏队植被组,9718,19760822,西藏自治区,3950,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538893.jpg,,,,,,,,,, +艾叶火绒草,Leontopodium artemisiifolium,D.E.Boufford et al.,33018,20050716,四川省,2250~2300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01912995.jpg,,,,,,,,,, +艾叶火绒草,Leontopodium artemisiifolium,中甸队,2121,19620917,云南省,2900,陡坡松林下草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502815.jpg,,,,,,,,,, +黄毛火绒草,Leontopodium aurantiacum,G.Forrest,26832,19250600,云南省,4000~4333,alpine rock species,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190813.jpg,,,,,,,,,, +黄毛火绒草,Leontopodium aurantiacum,G.Forrest,26832,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0605547.jpg,,,,,,,,,, +短星火绒草,Leontopodium brachyactis,"陈又生,袁慊",141394,20140808,新疆维吾尔自治区,4000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045839.jpg,,,,,,,,,, +短星火绒草,Leontopodium brachyactis,青藏队,3698,19740724,西藏自治区,4900,山坡砾石坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00503797.jpg,,,,,,,,,, +美头火绒草,Leontopodium calocephalum,FLPH Sichuan Expedition,150947,20150823,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235015.jpg,,,,,,,,,, +美头火绒草,Leontopodium calocephalum,陈又生,8071,20080815,云南省,3400,山顶草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113369.jpg,,,,,,,,,, +山野火绒草,Leontopodium campestre,"清水建美,近田文弘等",244,19910728,新疆维吾尔自治区,2250,山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467958.jpg,,,,,,,,,, +山野火绒草,Leontopodium campestre,,11560,19570825,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502975.jpg,,,,,,,,,, +戟叶火绒草,Leontopodium dedekensii,PE西藏队,PE6691,20170914,西藏自治区,3934,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333971.jpg,,,,,,,,,, +戟叶火绒草,Leontopodium dedekensii,"陈又生,王泽欢",9145,20090728,四川省,,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053310.jpg,,,,,,,,,, +戟叶火绒草,Leontopodium dedekensii,康藏植物考察队,10-1051,20100801,青海省,3665,江边岩石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052574.jpg,,,,,,,,,, +鼠麴火绒草,Leontopodium forrestianum,陈又生,9716,20090903,云南省,3700,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053369.jpg,,,,,,,,,, +鼠麴火绒草,Leontopodium forrestianum,"陈又生,王泽欢",9411,20090811,西藏自治区,4000,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052564.jpg,,,,,,,,,, +坚杆火绒草,Leontopodium franchetii,康藏植物考察队,10-3119,20100901,云南省,3320,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235995.jpg,,,,,,,,,, +坚杆火绒草,Leontopodium franchetii,陈又生,9608,20090826,四川省,3500,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053231.jpg,,,,,,,,,, +密垫火绒草,Leontopodium haastioides,青藏队,924,19740811,西藏自治区,4600,压巴错东北山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447266.jpg,,,,,,,,,, +密垫火绒草,Leontopodium haastioides,川经植,3390,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00503143.jpg,,,,,,,,,, +香芸火绒草,Leontopodium haplophylloides,"陈又生,王泽欢",9221,20090731,四川省,3700,干草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053308.jpg,,,,,,,,,, +香芸火绒草,Leontopodium haplophylloides,"陈又生,王泽欢",9296,20090805,西藏自治区,3600,山坡草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053300.jpg,,,,,,,,,, +珠峰火绒草,Leontopodium himalayanum,陈又生,9735,20090905,云南省,3900,多石草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053370.jpg,,,,,,,,,, +珠峰火绒草,Leontopodium himalayanum,"X.H.Jin,Y.S.Chen, H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q",DLJ-ET1973,20080713,西藏自治区,4500,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016190.jpg,,,,,,,,,, +雅谷火绒草,Leontopodium jacotianum,陈又生,9710,20090903,云南省,3700,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053367.jpg,,,,,,,,,, +雅谷火绒草,Leontopodium jacotianum,"陈又生,王泽欢",9357,20090808,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052570.jpg,,,,,,,,,, +,Leontopodium junpeianum,D.E.Boufford et al.,42655,20100805,四川省,4410~4650,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01917526.jpg,,,,,,,,,, +长叶火绒草,Leontopodium junpeianum,左忠 ;左伟;王雨,ZuoZh300,20191001,宁夏,2433,温带干草原人工造林地,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1553851.jpg,,,,,,,,,, +火绒草,Leontopodium leontopodioides,"郭丽平,阳文静,张彩飞",GYZ-023,20080518,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247678.jpg,,,,,,,,,, +火绒草,Leontopodium leontopodioides,陈全胜,CF04-4020,20180625,内蒙古自治区,1708,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247153.jpg,,,,,,,,,, +火绒草,Leontopodium leontopodioides,"陈又生,石硕",8028,20080806,河北省,2000,Dry grassy slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113594.jpg,,,,,,,,,, +单头火绒草,Leontopodium monocephalum,,s.n.,19840909,西藏自治区,5280~5400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836540.jpg,,,,,,,,,, +单头火绒草,Leontopodium monocephalum,杨金祥,2404,1963/8/10,西藏,5000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0215458.jpg,,,,,,,,,, +单头火绒草,Leontopodium monocephalum,吴玉虎,35930,20050806,青海省,4650,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0223476.jpg,,,,,,,,,, +藓状火绒草,Leontopodium muscoides,"X.H.Jin,Y.S.Chen, H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q",DLJ-ET1732,20080709,西藏自治区,4200,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016167.jpg,,,,,,,,,, +藓状火绒草,Leontopodium muscoides,Gaoligong Shan Biodiversity Survey,32792,20060828,云南省,4000,growing on rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671613.jpg,,,,,,,,,, +矮火绒草,Leontopodium nanum,杨昌友,700399,19700000,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111418.jpg,,,,,,,,,, +矮火绒草,Leontopodium nanum,郭柯,k-199,19900810,青海省,4520,河岸山地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048371.jpg,,,,,,,,,, +白雪火绒草,Leontopodium niveum,"郎楷永,李良千,费勇",996,19820804,四川省,3600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190890.jpg,,,,,,,,,, +白雪火绒草,Leontopodium niveum,"张永田,郞楷永",489,19650709,西藏自治区,2700,松林下草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00503873.jpg,,,,,,,,,, +黄白火绒草,Leontopodium ochroleucum,"陈又生,袁慊",141444,20140810,新疆维吾尔自治区,2738,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02065020.jpg,,,,,,,,,, +黄白火绒草,Leontopodium ochroleucum,L.Ivanina L.Sergienko L.Averyanov O.Zakharieva,410,19780705,,2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054995.jpg,,,,,,,,,, +弱小火绒草,Leontopodium pusillum,PE西藏考察队,8048,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333967.jpg,,,,,,,,,, +弱小火绒草,Leontopodium pusillum,郭柯,k-160,19900730,青海省,4950,三叠纪沙岩风化坡阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02047686.jpg,,,,,,,,,, +红花火绒草,Leontopodium roseum,汤宗孝,1251,19830630,四川省,2450,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530488.jpg,,,,,,,,,, +红花火绒草,Leontopodium roseum,李馨,78012,1958/7/3,四川,2500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0234733.jpg,,,,,,,,,, +华火绒草,Leontopodium sinense,"J.I.Jeon,H.S.Lee,H.J.Eom,Y.J.Park et B.Liu",SI1336,20100810,四川省,3659,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101676.jpg,,,,,,,,,, +华火绒草,Leontopodium sinense,康藏植物考察队,10-2345,20100819,西藏自治区,2738~2780,山谷山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052744.jpg,,,,,,,,,, +银叶火绒草,Leontopodium souliei,康藏植物考察队,10-0899,20100729,四川省,4382,干草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053228.jpg,,,,,,,,,, +银叶火绒草,Leontopodium souliei,"陈又生,王泽欢",9427,20090813,西藏自治区,4800,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052876.jpg,,,,,,,,,, +银叶火绒草,Leontopodium souliei,康藏植物考察队,10-1034,20100801,青海省,4254,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052601.jpg,,,,,,,,,, +匍枝火绒草,Leontopodium stoloniferum,"陈又生,王泽欢",9247,20090801,四川省,3312,Meadows,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053296.jpg,,,,,,,,,, +匍枝火绒草,Leontopodium stoloniferum,D. E. Boufford et al.,29571,20000720,西藏自治区,3240,"Dry, open slope",,有花无果,https://image.cvh.ac.cn/files/l/PE/01882584.jpg,,,,,,,,,, +毛香火绒草,Leontopodium stracheyi,陈又生,9521,20090822,四川省,3100,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054124.jpg,,,,,,,,,, +毛香火绒草,Leontopodium stracheyi,康藏植物考察队,10-1926,20100815,西藏自治区,3780,山谷林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052745.jpg,,,,,,,,,, +亚灌木火绒草,Leontopodium suffruticosum,青藏队植被组,9862,19760827,西藏自治区,3200,阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048532.jpg,,,,,,,,,, +川西火绒草,Leontopodium wilsonii,陈又生,7284,20070805,四川省,2300~3000,山谷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01649621.jpg,,,,,,,,,, +川西火绒草,Leontopodium wilsonii,,2445,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530474.jpg,,,,,,,,,, +益母草,Leonurus japonicus,FLPH Sichuan Expedition,151040,20150823,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02284537.jpg,,,,,,,,,, +益母草,Leonurus japonicus,"刘正宇,张军等",RQHZ06022,20150312,重庆市,534,冲积土 河滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115115.jpg,,,,,,,,,, +益母草,Leonurus japonicus,"石硕,梁文达",SZ4270,20141006,河北省,401,山坡阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064056.jpg,,,,,,,,,, +细叶益母草,Leonurus sibiricus,植物所下放干部,150,19600508,江西省,,田边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233611.jpg,,,,,,,,,, +细叶益母草,Leonurus sibiricus,C.W.Wang,70263,19350900,云南省,2700,mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110562.jpg,,,,,,,,,, +细叶益母草,Leonurus sibiricus,黄河队,7353,19560711,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081950.jpg,,,,,,,,,, +荨麻叶益母草,Leonurus urticifolius,周太炎,652154,19650819,新疆维吾尔自治区 ,0~1600,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0588939.jpg,,,,,,,,,, +荨麻叶益母草,Leonurus urticifolius,周太炎,651014,19650717,新疆维吾尔自治区,0~1260,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0588940.jpg,,,,,,,,,, +独行菜,Lepidium apetalum,PE西藏考察队,7009,20180608,西藏自治区,3892,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02331776.jpg,,,,,,,,,, +独行菜,Lepidium apetalum,陈全胜,CF11-4222,20180702,内蒙古自治区,681,石质山地草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246254.jpg,,,,,,,,,, +独行菜,Lepidium apetalum,"川西队,关克俭,王文采等",关王35,19630714,四川省,2550,河谷山坡路边低草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092404.jpg,,,,,,,,,, +头花独行菜,Lepidium capitatum,PE西藏考察队,8038,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332362.jpg,,,,,,,,,, +头花独行菜,Lepidium capitatum,青藏队,870117,19870624,新疆维吾尔自治区,2950,山坡 水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998074.jpg,,,,,,,,,, +楔叶独行菜,Lepidium cuneiforme,"万涛,周世良等",1371,20140323,四川省,,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021060.jpg,,,,,,,,,, +楔叶独行菜,Lepidium cuneiforme,吴玉虎等,3936,19860730,青海省,3000,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995923.jpg,,,,,,,,,, +楔叶独行菜,Lepidium cuneiforme,Anonymous,08-0694,19210810,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995562.jpg,,,,,,,,,, +光果宽叶独行菜,Lepidium latifolium var. affine,Anonymous,92,19590520,新疆维吾尔自治区,,河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995494.jpg,,,,,,,,,, +光果宽叶独行菜,Lepidium latifolium var. affine,,829-5,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352500.jpg,,,,,,,,,, +光果宽叶独行菜,Lepidium latifolium var. affine,贺士元,18766,19780529,河北省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01236235.jpg,,,,,,,,,, +钝叶独行菜,Lepidium obtusum,何叶祺,3190,19590623,甘肃省,1450,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01998123.jpg,,,,,,,,,, +钝叶独行菜,Lepidium obtusum,W.L.Chen et al.,SRAE2005476,20050804,新疆维吾尔自治区,570,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01722092.jpg,,,,,,,,,, +钝叶独行菜,Lepidium obtusum,I.Granitov,s.n.,19280725,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01124299.jpg,,,,,,,,,, +柱毛独行菜,Lepidium ruderale,黄河队,6873,19560520,陕西省,,山脚路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078340.jpg,,,,,,,,,, +柱毛独行菜,Lepidium ruderale,王金亭,3685,19610802,西藏自治区,4580,住宅附近,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067812.jpg,,,,,,,,,, +柱毛独行菜,Lepidium ruderale,,3215,19850727,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900588.jpg,,,,,,,,,, +莲座鳞蕊芥,Lepidostemon rosularis,PE西藏考察队,7213,20180612,西藏自治区,4539,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331961.jpg,,,,,,,,,, +虮子草,Leptochloa panicea,钟明哲,3691,20090113,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088546.jpg,,,,,,,,,, +虮子草,Leptochloa panicea,覃海宁等,19811,20080817,江苏省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01953308.jpg,,,,,,,,,, +虮子草,Leptochloa panicea,"仲,陈",50,19830919,四川省,520,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824945.jpg,,,,,,,,,, +细钟花,Leptocodon gracilis,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0678,20130807,西藏自治区,2780,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992225.jpg,,,,,,,,,, +细钟花,Leptocodon gracilis,H.Ohashi et al.,775528,19770902,,2100~2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01372349.jpg,,,,,,,,,, +细钟花,Leptocodon gracilis,滇西北金沙江队,6660,19630800,云南省,1900~2000,路边松栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01264304.jpg,,,,,,,,,, +毛细钟花,Leptocodon hirsutus,张经炜等,953,19730804,西藏自治区,2100,河滩阶地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01804026.jpg,,,,,,,,,, +毛细钟花,Leptocodon hirsutus,K.M.Feng,8723,19401103,云南省,,沟边山坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01264308.jpg,,,,,,,,,, +,Leptodermis glomerata,"H.Li,S.X.Yang,R.Li etc.",1010,20021108,云南省,2520,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110232.jpg,,,,,,,,,, +聚花野丁香,Leptodermis glomerata,K.M.Feng,12,19381026,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0445064.jpg,,,,,,,,,, +刺枝野丁香,Leptodermis pilosa var. acanthoclada,四川植被调查队,2967,19730719,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0445153.jpg,,,,,,,,,, +川滇野丁香,Leptodermis pilosa var. acanthoclada,刘义,4553,20190426,河南,386,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1904553.jpg,,,,,,,,,, +光叶野丁香,Leptodermis pilosa var. glabrescens,北京所横断山队,1877,19810723,云南省,1950~2000,金沙江 干旱河 灌丛中常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537412.jpg,,,,,,,,,, +光叶野丁香,Leptodermis pilosa var. glabrescens,四川植被调查队,稻2297,1973-7 4,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0131854.jpg,,,,,,,,,, +川滇野丁香 (原变种),Leptodermis pilosa var. pilosa,谢登峰、付筱,2028425,20190920,四川,4594,,,有花有果,https://image.cvh.ac.cn/files/l/SZ/02028425.jpg,,,,,,,,,, +川滇野丁香 (原变种),Leptodermis pilosa var. pilosa,李红、白洪兵,533324180917887LY,20180917,云南,1678,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG010010.jpg,,,,,,,,,, +,Leptodermis potaninii var. glauca,"罗建,林玲",LuoJian-XZ-0906,20090610,西藏自治区,3757,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917414.jpg,,,,,,,,,, +,Leptodermis potaninii var. glauca,"D.E.Boufford L.Y.Chen,X.H.Li & J.R.Shevock",42145,20100721,云南省,2520~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892175.jpg,,,,,,,,,, +野丁香,Leptodermis potaninii var. glauca,高信芬、彭玉兰、赵会礼,4173,20030420,四川省,2300,路边灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0184796.jpg,,,,,,,,,, +甘肃野丁香,Leptodermis purdomii,PE西藏考察队,7049,20180609,西藏自治区,3144,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333298.jpg,,,,,,,,,, +甘肃野丁香,Leptodermis purdomii,,,,四川省,2300,干旱河谷灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115439.jpg,,,,,,,,,, +白毛野丁香,Leptodermis rehderiana,刘慎谔,21568,19461014,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0445389.jpg,,,,,,,,,, +白毛野丁香,Leptodermis rehderiana,秦仁昌,24896,19400624,云南省,1600,丛林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/334383.jpg,,,,,,,,,, +糙叶野丁香,Leptodermis scabrida,西藏队 黄荣福,1009,19790719,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/85611.jpg,,,,,,,,,, +,Leptodermis schneideri,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",40586,20090716,西藏自治区,2320~2330,dry rocky slope along water diversion ditch on cliff,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115050.jpg,,,,,,,,,, +,Leptodermis schneideri,廉永善等,May-93,19930807,甘肃省,1650,阳坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01590156.jpg,,,,,,,,,, +,Leptodermis schneideri,横断山队植被组,4263,19830624,四川省,2600~2800,干旱 河谷 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537413.jpg,,,,,,,,,, +蒙自野丁香,Leptodermis tomentella,R.P.Maire,,19140415,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079602.jpg,,,,,,,,,, +蒙自野丁香,Leptodermis tomentella,陈伟烈,10825,19800630,西藏自治区,1400,岩边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447821.jpg,,,,,,,,,, +蒙自野丁香,Leptodermis tomentella,"李馨,周继西",73500,19570811,四川省,2550,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00792265.jpg,,,,,,,,,, +帚状野丁香,Leptodermis virgata,刘慎谔,L.5899,19321112,河北省,788,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0508507.jpg,,,,,,,,,, +雀儿舌头,Leptopus chinensis,喻勋林 徐永福 黄娟,80325,20080827,湖北省,649,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239960.jpg,,,,,,,,,, +雀儿舌头,Leptopus chinensis,"陈玉峰,于胜祥",8108,20100821,广西壮族自治区,870,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239961.jpg,,,,,,,,,, +雀儿舌头,Leptopus chinensis,"税玉民,方瑞征,陈文红",21474,20020516,云南省,1400,in limestone forests,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239958.jpg,,,,,,,,,, +,Leptopus clarkei,Li-Jianwu,2595,20121029,云南省,1200,limestone mountain,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1251819.jpg,,,,,,,,,, +缘腺雀舌木,Leptopus clarkei,周建军,16091517,20160915,贵州省,800,林下,直立灌木,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI050979.jpg,,,,,,,,,, +尾叶雀舌木,Leptopus clarkei,张代贵,80909005,20080909,湖南省,,,,无花无果,https://image.cvh.ac.cn/files/l/JIU/JIU02258.jpg,,,,,,,,,, +蓝堇草,Leptopyrum fumarioides,宁夏药检所,73-0154,19730615,宁夏回族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062817.jpg,,,,,,,,,, +蓝堇草,Leptopyrum fumarioides,乌兰浩特采集队,9062328,20090623,内蒙古自治区,780,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962067.jpg,,,,,,,,,, +蓝堇草,Leptopyrum fumarioides,N.Malzew,s.n.,19010600,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01697263.jpg,,,,,,,,,, +薄蒴草,Lepyrodiclis holosteoides,泛喜马拉雅植物志巴基斯坦采集队,FPH-1348,20120908,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004840.jpg,,,,,,,,,, +薄蒴草,Lepyrodiclis holosteoides,孙学刚等,20010226,20010812,甘肃省,2450,路边田边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801083.jpg,,,,,,,,,, +薄蒴草,Lepyrodiclis holosteoides,,56,19140000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01627179.jpg,,,,,,,,,, +胡枝子,Lespedeza bicolor,陈全胜,CF-0010-292,20170827,内蒙古自治区,1074,河滩草甸,平坦开阔,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247184.jpg,,,,,,,,,, +胡枝子,Lespedeza bicolor,,,19790700,辽宁省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094369.jpg,,,,,,,,,, +胡枝子,Lespedeza bicolor,"Yanghoon Cho,Jonghwan Kim",WR-20130726-083,20130726,,60,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090298.jpg,,,,,,,,,, +,Lespedeza cuneata,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B",330,20020815,云南省,2550,山坡次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100851.jpg,,,,,,,,,, +,Lespedeza cuneata,川黔队,1724,19561012,贵州省,1500,山坡 草地 灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083712.jpg,,,,,,,,,, +,Lespedeza cuneata,Jung-Hyun Kim & Sun-Yu Kim,KIMJH14-00052,20140826,,10,around lake,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045145.jpg,,,,,,,,,, +,Lespedeza davurica,"Bin-Bin liu,Guang-Ning Liu",3999,20180728,北京市,,"Roadside,on the slopes of broadleaved deciduous forest",,有花无果,https://image.cvh.ac.cn/files/l/PE/02234022.jpg,,,,,,,,,, +,Lespedeza davurica,A.K.Skvortsov,s.n.,19880811,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111741.jpg,,,,,,,,,, +兴安胡枝子,Lespedeza davurica,聂宝等,XM23620,20170804,内蒙古自治区,1226,草地,水分较好,多年生草本,有花或有果,https://image.cvh.ac.cn/files/l/PE/02314001.jpg,,,,,,,,,, +,Lespedeza fasciculiflora var. fasciculiflora,D.E.Boufford et al.,42065,20100719,云南省,2725~2750,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01924957.jpg,,,,,,,,,, +,Lespedeza fasciculiflora var. hengduanshanensis,汤宗孝,1516,19830726,四川省,1800,干热河谷山坡灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01499357.jpg,,,,,,,,,, +,Lespedeza fasciculiflora var. hengduanshanensis,王启无,65470,19350800,西藏自治区,2000,Dry and slope sandy,,有花无果,https://image.cvh.ac.cn/files/l/PE/00376617.jpg,,,,,,,,,, +多花胡枝子,Lespedeza floribunda,周口店考察队,158,20080927,北京市,140,草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112222.jpg,,,,,,,,,, +多花胡枝子,Lespedeza floribunda,孔冬梅,k0176,20140706,山西省,854,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035341.jpg,,,,,,,,,, +多花胡枝子,Lespedeza floribunda,云台山采集队,1334,20090823,河南省,850~950,路边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026306.jpg,,,,,,,,,, +,Lespedeza forrestii,陈永瑞等,81-1031,19810705,云南省,2850,松林顶部,,无花无果,https://image.cvh.ac.cn/files/l/PE/01791086.jpg,,,,,,,,,, +,Lespedeza forrestii,青藏队,11495,19830625,四川省,2700,山坡栎林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00491318.jpg,,,,,,,,,, +,Lespedeza juncea,赤峰采集队,2-122,20080730,内蒙古自治区,,沙化草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02012300.jpg,,,,,,,,,, +,Lespedeza juncea,T.Miyazaki,810048,20081003,,130~140,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01983675.jpg,,,,,,,,,, +,Lespedeza pilosa,罗建等,LuoJian-XZ-0810,20090613,西藏自治区,2543,林缘山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01925811.jpg,,,,,,,,,, +,Lespedeza pilosa,井波一雄,CBM 210647,19501102,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880286.jpg,,,,,,,,,, +,Lespedeza pilosa,刘正宇,181050,20071009,重庆市,350,山地,杂木林缘灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840588.jpg,,,,,,,,,, +,Lespedeza potaninii,陈全胜,CF-0003-054,20170821,内蒙古自治区,898,石质坡状草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247035.jpg,,,,,,,,,, +,Lespedeza potaninii,,819,19140700,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00416745.jpg,,,,,,,,,, +,Lespedeza potaninii,,20452,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00377648.jpg,,,,,,,,,, +山豆花,Lespedeza tomentosa,巴山采集队,591,20080709,重庆市,970,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850850.jpg,,,,,,,,,, +山豆花,Lespedeza tomentosa,"王文中,田景全,秦绍英",839,19560823,山西省,1300,山谷 半阴处 灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827004.jpg,,,,,,,,,, +山豆花,Lespedeza tomentosa,,s.n.,19840900,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810343.jpg,,,,,,,,,, +绣球防风,Leucas ciliata,林秦文,2013-082,20130528,云南省,1600~1750,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040318.jpg,,,,,,,,,, +绣球防风,Leucas ciliata,Y.Tsiang,4688,19301018,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00786563.jpg,,,,,,,,,, +绣球防风,Leucas ciliata,方文培,9538,19301104,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00786562.jpg,,,,,,,,,, +疏毛,Leucas mollissima var. chinensis,刘正宇,184497,20091031,重庆市,200,溪边路旁荒地中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020840.jpg,,,,,,,,,, +疏毛,Leucas mollissima var. chinensis,赵常明,EX1056,20070916,湖北省,190,农地旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868375.jpg,,,,,,,,,, +疏毛,Leucas mollissima var. chinensis,,41,19411017,台湾省,,麻豆附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/01688248.jpg,,,,,,,,,, +银针七,Leucas mollissima var. mollissima,李恒,105,19851020,四川省,1200,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/217054.jpg,,,,,,,,,, +白绒草(原变种),Leucas mollissima var. mollissima,,,19860716,贵州,,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0073982.jpg,,,,,,,,,, +白绒草,Leucas mollissima var. mollissima,田林普查队,4.51E+14,20121016,广西壮族自治区,480,路旁,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0094681.jpg,,,,,,,,,, +,Leucopoa olgae,新疆综合考察队,9745,19590620,新疆维吾尔自治区,3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00038267.jpg,,,,,,,,,, +西山银穗草,Leucopoa olgae,,84-A-38,84.7.19,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00046858.jpg,,,,,,,,,, +米团花,Leucosceptrum canum,PE西藏队,PE6173,20170910,西藏自治区,2488~2994,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331100.jpg,,,,,,,,,, +米团花,Leucosceptrum canum,X.H.Jin,10191,20091200,云南省,2100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328435.jpg,,,,,,,,,, +黄花鬼吹箫,Leycesteria crocothyrsos,中甸队,2319,19630614,云南省,2700,荫湿沟边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/119582.jpg,,,,,,,,,, +黄花鬼吹箫,Leycesteria crocothyrsos,蔡希陶,57345,0,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/119583.jpg,,,,,,,,,, +鬼吹箫,Leycesteria formosa,PE西藏队,PE5712,20170903,西藏自治区,1683~2900,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02332110.jpg,,,,,,,,,, +鬼吹箫,Leycesteria formosa,C.W.Wang,67918,19350700,云南省,2500,in ravine,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091399.jpg,,,,,,,,,, +,Leycesteria glaucophylla,"李渤生,程树志",3616,19830519,西藏自治区,1600,常绿阔叶林缘时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098848.jpg,,,,,,,,,, +,Leycesteria glaucophylla,B.Barhtolomew et D.E.Boufford,3981,19860407,,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01212538.jpg,,,,,,,,,, +纤细鬼吹箫,Leycesteria gracilis,"李渤生,程树志",3220,19821130,西藏自治区,,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447006.jpg,,,,,,,,,, +纤细鬼吹箫,Leycesteria gracilis,"李文华,胡勇",343,19810725,云南省,2100,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/00868667.jpg,,,,,,,,,, +绵毛鬼吹箫,Leycesteria stipulata,青藏队,7981,19820717,云南省,1700,常绿阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01212534.jpg,,,,,,,,,, +绵毛风吹箫,Leycesteria stipulata,H.Hara etc.,6257,19600621,Matsum,2100,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/114744.jpg,,,,,,,,,, +窄颖赖草,Leymus angustus,T.N.Liou,L.3138,19310807,新疆维吾尔自治区,1500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00547406.jpg,,,,,,,,,, +羊草,Leymus chinensis,陈全胜,CF07-4104,20180627,内蒙古自治区,1451,沙质草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247019.jpg,,,,,,,,,, +羊草,Leymus chinensis,"老铁山采集队 王小平,闫宝,杨传九,邱磊,于业飞",277,20080612,辽宁省,,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089790.jpg,,,,,,,,,, +羊草,Leymus chinensis,"石硕,梁文达",SZ4140,20141002,河北省,613,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039274.jpg,,,,,,,,,, +粗穗赖草,Leymus crassiusculus,植被地理组,156,19830813,青海省,2850,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/105828.jpg,,,,,,,,,, +粗穗赖草,Leymus crassiusculus,青藏队 吴玉虎,648,19870713,新疆维吾尔自治区,3200,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/146493.jpg,,,,,,,,,, +粗穗赖草,Leymus crassiusculus,杨小寅,11,19650614,山西省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/146494.jpg,,,,,,,,,, +弯曲赖草,Leymus flexus,不详,1417,19590625,山西省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/109910.jpg,,,,,,,,,, +弯曲赖草,Leymus flexus,吴玉虎等,2185,19860619,青海省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/120944.jpg,,,,,,,,,, +宽穗赖草,Leymus ovatus,徐文斌,杨清理,SHI-2009222,20090815,新疆,1000,高山草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402516.jpg,,,,,,,,,, +宽穗赖草,Leymus ovatus,田新民,朱洪涛,LiuJQ-QLS-TXM-004,20080825,青海,2840,温带草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402582.jpg,,,,,,,,,, +柴达木赖草,Leymus pseudoracemosus,杨俊良、颜济,81001,19810818,青海,,,多年生,丛生,无花有果,https://image.cvh.ac.cn/files/l/SAUT/201402546.jpg,,,,,,,,,, +,Leymus ramosus,汤宗孝,1754,19830818,四川省,3450,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00547715.jpg,,,,,,,,,, +单穗赖草,Leymus ramosus,徐文斌,黄刚,SHI-2009416,20090823,新疆,1050,高山草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402518.jpg,,,,,,,,,, +单穗赖草,Leymus ramosus,,84-A-327,84.7.6,新疆维吾尔自治区 ,3850,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00049138.jpg,,,,,,,,,, +,Leymus secalinus var. qinghaicus,凡星等,HY0716,20100000,新疆,,,多年生,丛生,无花有果,https://image.cvh.ac.cn/files/l/SAUT/201402666.jpg,,,,,,,,,, +岩风,Libanotis buchtormensis,"石硕,张涛",SZ4067,20140904,河北省,2094,林下水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038320.jpg,,,,,,,,,, +岩风,Libanotis buchtormensis,T.S.Elias et al.,4466,19780822,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01631655.jpg,,,,,,,,,, +岩风,Libanotis buchtormensis,"李安仁,朱家楠",10933,19590710,新疆维吾尔自治区,1300,山坡石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01631654.jpg,,,,,,,,,, +地岩风,Libanotis depressa,T.N.Ho (HNWP) et al.,2563,19960828,青海省,3620,Glosely apressed rosette perennial;petals white Growing in alpine meadow on ridges.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758104.jpg,,,,,,,,,, +地岩风,Libanotis depressa,周太炎等,652067,19650808,新疆维吾尔自治区,2140,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00034372.jpg,,,,,,,,,, +翅柄橐吾,Ligularia alatipes,"陈又生,毕延超",11-033,20110722,四川省,3583~3700,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115843.jpg,,,,,,,,,, +翅柄橐吾,Ligularia alatipes,Kham Expedition,10-3006,20100829,云南省,2572,冷杉林缘山坡湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110917.jpg,,,,,,,,,, +帕米尔橐吾,Ligularia alpigena,陈又生,13-2310,20130907,新疆维吾尔自治区,2709,溪边灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919835.jpg,,,,,,,,,, +帕米尔橐吾,Ligularia alpigena,关克俭,2128,19570721,新疆维吾尔自治区 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0605898.jpg,,,,,,,,,, +阿勒泰橐吾,Ligularia altaica,W.L.Chen et al.,SRAE2005202,20050801,新疆维吾尔自治区,1500~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016534.jpg,,,,,,,,,, +阿勒泰橐吾,Ligularia altaica,T.S.Elias et al.,4833,19780831,,1150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01764526.jpg,,,,,,,,,, +亚东橐吾,Ligularia atkinsonii,陈又生,9782,20090911,西藏自治区,3125,山谷林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052849.jpg,,,,,,,,,, +黑紫橐吾,Ligularia atroviolacea,FLPH Sichuan Expedition,151163,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235051.jpg,,,,,,,,,, +黑紫橐吾,Ligularia atroviolacea,"陈又生,毕延超",11-135,20110811,云南省,3346,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053179.jpg,,,,,,,,,, +总状橐吾,Ligularia botryodes,孙学刚等,2477,20010721,甘肃省,2900,山谷水边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798793.jpg,,,,,,,,,, +总状橐吾,Ligularia botryodes,吉林师大地理系,1418,19610725,四川省,3400,"草地,阳处",,有花有果,https://image.cvh.ac.cn/files/l/PE/00532506.jpg,,,,,,,,,, +芥形橐吾,Ligularia brassicoides,李馨,71407,19570610,四川省,2800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530632.jpg,,,,,,,,,, +芥形橐吾,Ligularia brassicoides,余岩、粟美好,2021234,20200718,四川,4020,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02021234.jpg,,,,,,,,,, +黄亮橐吾,Ligularia caloxantha,"康藏植物考察队(Kham Expedition)(陈又生,高云东,周广明,何理,张宪春,马祥光)",10-2995,20100829,云南省,2572,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111470.jpg,,,,,,,,,, +黄亮橐吾,Ligularia caloxantha,"陈又生,王泽欢",9086,20090723,四川省,2716,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053274.jpg,,,,,,,,,, +灰苞橐吾,Ligularia chalybea,"杨亲二,孔宏智",98-377,19980910,云南省,4300,水边潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776538.jpg,,,,,,,,,, +灰苞橐吾,Ligularia chalybea,赵清盛,6421,1978-8 4,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172364.jpg,,,,,,,,,, +长毛橐吾,Ligularia changiana,,57600,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495535.jpg,,,,,,,,,, +缅甸橐吾,Ligularia chimiliensis,陈又生,9712,20090903,云南省,3645~3700,铺地柏丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052026.jpg,,,,,,,,,, +缅甸橐吾,Ligularia chimiliensis,George Forrest,25027,19240900,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01764533.jpg,,,,,,,,,, +缅甸橐吾,Ligularia chimiliensis,"李渤生,程树志,倪志诚",6396,19830809,西藏自治区,4200,高山草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01564954.jpg,,,,,,,,,, +密花橐吾,Ligularia confertiflora,"陈又生,毕延超",11-143,20110812,云南省,3345,湿草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111473.jpg,,,,,,,,,, +密花橐吾,Ligularia confertiflora,青藏队,12399,19830724,四川省,3800,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111108.jpg,,,,,,,,,, +垂头橐吾,Ligularia cremanthodioides,北京所横断山队,2247,19810729,云南省,4200,高山流石坡湿地与石壁交接处时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111111.jpg,,,,,,,,,, +垂头橐吾,Ligularia cremanthodioides,X.H.Jin et al.,DLJ-ET 1990,20080713,西藏自治区,3800,conifer forest.,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053170.jpg,,,,,,,,,, +弯苞橐吾,Ligularia curvisquama,T.T.Yu,8757,19370706,云南省,3500,road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/00568150.jpg,,,,,,,,,, +弯苞橐吾,Ligularia curvisquama,"龚洵, 潘跃芝, 湛青青",PG090973,20090926,云南,4120,草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452682.jpg,,,,,,,,,, +,Ligularia curvisquama,"Forrest, George",14572,17-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00499840.jpg,,,,,,,,,, +浅苞橐吾,Ligularia cyathiceps,Gaoligong Shan Biodiversity Survey,31669,20060830,云南省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772322.jpg,,,,,,,,,, +浅苞橐吾,Ligularia cyathiceps,"林业部,林型组",s.n.,19550000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530656.jpg,,,,,,,,,, +舟叶橐吾,Ligularia cymbulifera,陈又生,9672,20090830,四川省,4215,草坡,,,https://image.cvh.ac.cn/files/l/PE/02053767.jpg,,,,,,,,,, +舟叶橐吾,Ligularia cymbulifera,陈又生,9463,20090817,西藏自治区,3100~3540,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052073.jpg,,,,,,,,,, +聚伞橐吾,Ligularia cymosa,"郎楷永,李良千,费勇",900,19820801,四川省,3500~3750,高山 栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01535667.jpg,,,,,,,,,, +齿叶橐吾,Ligularia dentata,陈又生,6268,20060819,河南省,2100,Grassy slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113471.jpg,,,,,,,,,, +齿叶橐吾,Ligularia dentata,孔冬梅,k0400,20140724,山西省,1540,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064197.jpg,,,,,,,,,, +齿叶橐吾,Ligularia dentata,北京队,892713,19890515,广西壮族自治区,700,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016337.jpg,,,,,,,,,, +网脉橐吾,Ligularia dictyoneura,D.E.Boufford et al.,42130,20100721,云南省,2520~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917507.jpg,,,,,,,,,, +网脉橐吾,Ligularia dictyoneura,青藏队,14674,19830910,四川省,2900,杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01535435.jpg,,,,,,,,,, +盘状橐吾,Ligularia discoidea,"陈又生,王泽欢",9387,20090810,西藏自治区,4300~4400,草坡或灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053599.jpg,,,,,,,,,, +盘状橐吾,Ligularia discoidea,"张挺, 刘成, 亚吉东",18CS17725,20180917,西藏,3604,路边山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487416.jpg,,,,,,,,,, +大黄橐吾,Ligularia duciformis,D.E.Boufford et al.,42651,20100805,四川省,4410~4650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917499.jpg,,,,,,,,,, +大黄橐吾,Ligularia duciformis,滇西北队,10419,19600713,云南省,3200,山坡灌丛下草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797564.jpg,,,,,,,,,, +隐舌橐吾,Ligularia franchetiana,"杨亲二,孔宏智",98-285,19980920,云南省,4200,水边阴湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01796831.jpg,,,,,,,,,, +隐舌橐吾,Ligularia franchetiana,T.T.Yu,7102,19370715,四川省,3700,margin of abies forest along side of mt.stream,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530875.jpg,,,,,,,,,, +粗茎橐吾,Ligularia ghatsukupa,PE西藏队,PE5607,20170901,西藏自治区,4900,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890617.jpg,,,,,,,,,, +粗茎橐吾,Ligularia ghatsukupa,"龚洵, 余姣君, 龚奕青, 熊江",PG121006B,20121013,西藏,,灌丛下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395725.jpg,,,,,,,,,, +鹿蹄橐吾,Ligularia hodgsonii,"刘冰,孙英宝,徐晓婷等",956,20070816,云南省,2100,灌丛边缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042877.jpg,,,,,,,,,, +鹿蹄橐吾,Ligularia hodgsonii,巴山采集队,2295,20080725,重庆市,2140,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909636.jpg,,,,,,,,,, +鹿蹄橐吾,Ligularia hodgsonii,PE-古蔺考察队,808,20100907,四川省,1070~977,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01864649.jpg,,,,,,,,,, +细茎橐吾,Ligularia hookeri,Y.S.Chen(陈又生),8094,20080818,云南省,4000,林下湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113409.jpg,,,,,,,,,, +细茎橐吾,Ligularia hookeri,"陈又生,王泽欢",9340,20090808,西藏自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052852.jpg,,,,,,,,,, +康定橐吾,Ligularia kangtingensis,"蒋兴麟,熊济华",36535,19530806,四川省,3980,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531299.jpg,,,,,,,,,, +,Ligularia kangtingensis,彭玉兰、涂卫国、幸福,Gaoxf382,20080720,四川,4069,,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0204476.jpg,,,,,,,,,, +康定橐吾,Ligularia kangtingensis,熊耀国,6319,19470000,江西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/LBG/00036102.jpg,,,,,,,,,, +,Ligularia konkalingensis,"龚洵, 潘跃芝, 湛青青",PG090945,20090923,四川,3600,草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452667.jpg,,,,,,,,,, +沼生橐吾,Ligularia lamarum,Y.S.Chen(陈又生),8084,20080818,云南省,4000,草甸,石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113410.jpg,,,,,,,,,, +沼生橐吾,Ligularia lamarum,"J.I.Jeon,H.S.Lee,H.J.Eom,Y.J.Park et B.Liu",SI1356,20100810,四川省,3619,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101673.jpg,,,,,,,,,, +洱源橐吾,Ligularia lankongensis,"陈又生,毕延超",11-150,20110814,云南省,2663,荒地及松林边缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053193.jpg,,,,,,,,,, +洱源橐吾,Ligularia lankongensis,T.T.Yu,5763,19370526,四川省,3300,under woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531308.jpg,,,,,,,,,, +阔柄橐吾,Ligularia latipes,,8796,19750819,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01564966.jpg,,,,,,,,,, +,Ligularia latipes,王乾、顾健,SCW1485,20200623,四川,3853,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260156.jpg,,,,,,,,,, +缘毛橐吾,Ligularia liatroides,"程树志,李渤生",100,19820815,西藏自治区,4000,高山杂类草甸 流水石砾坡常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067712.jpg,,,,,,,,,, +缘毛橐吾,Ligularia liatroides,D.E.Boufford et al.,39478,20070811,青海省,3830~4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912779.jpg,,,,,,,,,, +丽江橐吾,Ligularia lidjiangensis,"杨亲二,孔宏智",98-467,19980927,云南省,2750~2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01796869.jpg,,,,,,,,,, +丽江橐吾,Ligularia lidjiangensis,"刘杰, 罗亚皇, 刘基男, 谭少林",YMT2600-1-1047,20130723,云南,2730,华山松-云南松林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1446754.jpg,,,,,,,,,, +君范橐吾,Ligularia lingiana,赵清盛,8294,1978-8 2,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172369.jpg,,,,,,,,,, +长叶橐吾,Ligularia longifolia,A.Henry,12691,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797633.jpg,,,,,,,,,, +长叶橐吾,Ligularia longifolia,何铸,唐世贵,李伯清,11442,19580903,四川省,,斜坡上多,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495423.jpg,,,,,,,,,, +长戟橐吾,Ligularia longihastata,K.M.Feng,1772,19390723,云南省,3600,On open past,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531368.jpg,,,,,,,,,, +大齿橐吾,Ligularia macrodonta,孙学刚等,2075,20000803,甘肃省,2810~2833,沟谷水边灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798792.jpg,,,,,,,,,, +大齿橐吾,Ligularia macrodonta,"Zhu, Chen, Xu,Wang",1989,19990810,陕西省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01564608.jpg,,,,,,,,,, +黑苞橐吾,Ligularia melanocephala,"康藏植物考察队(Kham Expedition)(陈又生,高云东,周广明,何理,张宪春,马祥光)",10-270,20100720,四川省,4178,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111479.jpg,,,,,,,,,, +黑苞橐吾,Ligularia melanocephala,"H.Li,S.X.Yang,R.Li etc.",387,20020816,云南省,2550,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091333.jpg,,,,,,,,,, +黑穗橐吾,Ligularia melanothyrsa,不祥,22384,19590713,云南省,3250,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/45418.jpg,,,,,,,,,, +黑穗橐吾,Ligularia melanothyrsa,四川植被队,13737,1976-7 1,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0146169.jpg,,,,,,,,,, +心叶橐吾,Ligularia microcardia,"陈又生,毕延超",11-152,20110814,云南省,3335,林缘或疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052715.jpg,,,,,,,,,, +心叶橐吾,Ligularia microcardia,姜恕等,7693,19600727,四川省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797635.jpg,,,,,,,,,, +小头橐吾,Ligularia microcephala,"徐连升,柯芮",150129,,云南省,,山坡乱石堆,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084155.jpg,,,,,,,,,, +小头橐吾,Ligularia microcephala,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531388.jpg,,,,,,,,,, +木里橐吾,Ligularia muliensis,"陈又生,毕延超",11-030,20110722,四川省,3940,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111480.jpg,,,,,,,,,, +木里橐吾,Ligularia muliensis,"陈又生,王泽欢",9061,20090721,云南省,2750,林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053275.jpg,,,,,,,,,, +千花橐吾,Ligularia myriocephala,"唐宇丹,林秦文",2010-067,20100916,西藏自治区,4354,南坡 印度暖湿气流影响湿润,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037179.jpg,,,,,,,,,, +莲叶橐吾,Ligularia nelumbifolia,"陈又生,王泽欢",9177,20090729,四川省,3850,山谷溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053278.jpg,,,,,,,,,, +莲叶橐吾,Ligularia nelumbifolia,陈又生,9708,20090903,云南省,3450,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052862.jpg,,,,,,,,,, +林芝橐吾,Ligularia nyingchiensis,FLPH Tibet Expedition,12-1981,,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967543.jpg,,,,,,,,,, +林芝橐吾,Ligularia nyingchiensis,张林、李星月、张晓严,5月1日,20180609,西藏,4843,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023645.jpg,,,,,,,,,, +马蹄叶橐吾,Ligularia odontomanes,"陈又生,毕延超",11-092,20110807,云南省,3120,湿草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052712.jpg,,,,,,,,,, +马蹄叶橐吾,Ligularia odontomanes,"陈又生,毕延超",11-064,20110728,四川省,2795,灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052709.jpg,,,,,,,,,, +疏舌橐吾,Ligularia oligonema,T.T.Yu,13645,19371008,云南省,3700,山谷中水溪边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531442.jpg,,,,,,,,,, +疏舌橐吾,Ligularia oligonema,俞德浚,13279,19370911,四川省,3900,side of mt stream,,有花无果,https://image.cvh.ac.cn/files/l/KUN/824439.jpg,,,,,,,,,, +疏舌橐吾,Ligularia oligonema,Y.Tsiang,11493,19330819,云南省 ,3200,in open ravine,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495432.jpg,,,,,,,,,, +,Ligularia petiolaris,PE西藏队,PE5885,20170905,西藏自治区,3020~3460,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890409.jpg,,,,,,,,,, +紫缨橐吾,Ligularia phoenicochaeta,吴征镒等,21625,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531635.jpg,,,,,,,,,, +紫缨橐吾,Ligularia phoenicochaeta,J.F.Rock,23175,193205,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/732845.jpg,,,,,,,,,, +宽舌橐吾,Ligularia platyglossa,C.W.Wang,84507,19391019,云南省,1200,swampy & land,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531480.jpg,,,,,,,,,, +宽舌橐吾,Ligularia platyglossa,T.T.Yu,1440,19320000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531467.jpg,,,,,,,,,, +宽舌橐吾,Ligularia platyglossa,湖南植物,11753,19380901,湖南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531466.jpg,,,,,,,,,, +缘毛橐吾,Ligularia platyphylla,陈晓澄等,6692,20140812,西藏自治区,2874,混合林上滩地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00015629.jpg,,,,,,,,,, +,Ligularia platyphylla,J. F. Rock,16792,28-Aug,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00009798.jpg,,,,,,,,,, +侧茎橐吾,Ligularia pleurocaulis,FLPH Sichuan Expedition,152479,20150909,四川省,3812,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084589.jpg,,,,,,,,,, +侧茎橐吾,Ligularia pleurocaulis,刘恩德等,2703,20100813,云南省,3258,in Quercus shrubs,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885272.jpg,,,,,,,,,, +浅齿橐吾,Ligularia potaninii,陈又生,9655,20090829,四川省,4625,湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053270.jpg,,,,,,,,,, +浅齿橐吾,Ligularia potaninii,J.F.Rock,12998,19250700,甘肃省,4000,Swampy trail,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531531.jpg,,,,,,,,,, +浅齿橐吾,Ligularia potaninii,谢登峰、蔡竞、秦换换,SC-00-022-A-026,20200823,四川,3805.6m,灌丛草原,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02061456.jpg,,,,,,,,,, +掌叶橐吾,Ligularia przewalskii,"陈又生,王泽欢",9160,20090728,四川省,3750,溪边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052035.jpg,,,,,,,,,, +掌叶橐吾,Ligularia przewalskii,陈又生,10月1日,20100627,北京市,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909608.jpg,,,,,,,,,, +宽翅橐吾,Ligularia pterodonta,刘慎谔,21293,19461005,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01564973.jpg,,,,,,,,,, +,Ligularia pterodonta,"Forrest, George",28837,,,,,,,https://image.cvh.ac.cn/files/l/E/E00430090.jpg,,,,,,,,,, +,Ligularia pubifolia,"应俊生,洪德元",650942,19650822,西藏自治区,3600,灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531637.jpg,,,,,,,,,, +褐毛橐吾,Ligularia purdomii,陈又生,9655,20090829,四川省,4625,湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053280.jpg,,,,,,,,,, +褐毛橐吾,Ligularia purdomii,W.Y.Hsia,5800,19390722,甘肃省,,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01564654.jpg,,,,,,,,,, +褐毛橐吾,Ligularia purdomii,T.N.Liou & P.C.Tsoong,2775,19380726,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531634.jpg,,,,,,,,,, +黑毛橐吾,Ligularia retusa,北京所横断山队,2247,19810729,云南省,4200,高山流石坡湿地与石壁交接处时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111114.jpg,,,,,,,,,, +黑毛橐吾,Ligularia retusa,"陈又生,王泽欢",9407,20090811,西藏自治区,4000,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052659.jpg,,,,,,,,,, +独舌橐吾,Ligularia rockiana,J.F.Rock,22730,193205,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/824538.jpg,,,,,,,,,, +独舌橐吾,Ligularia rockiana,张超 ,20071007,20070623,四川省,2100,,草本,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/017709.jpg,,,,,,,,,, +,Ligularia rockiana,J. F. Rock,17167,28-Aug,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00009800.jpg,,,,,,,,,, +节毛橐吾,Ligularia ruficoma,王启无,68537,19350800,云南省,0~3600,,herbs,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606199.jpg,,,,,,,,,, +,Ligularia ruficoma,"Delavay, J.M.",,,,,,,,https://image.cvh.ac.cn/files/l/P/P00836386.jpg,,,,,,,,,, +藏橐吾,Ligularia rumicifolia,"陈又生,王泽欢",9417,20090813,西藏自治区,4000~4300,山谷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052657.jpg,,,,,,,,,, +藏橐吾,Ligularia rumicifolia,陈又生,9681,20090831,云南省,3900,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052646.jpg,,,,,,,,,, +箭叶橐吾,Ligularia sagitta,"康藏植物考察队(Kham Expedition)(陈又生,高云东,周广明,何理,张宪春,马祥光)",10-1705,20100812,西藏自治区,3700,山谷溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111486.jpg,,,,,,,,,, +箭叶橐吾,Ligularia sagitta,"陈又生,王泽欢",9246,20090801,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052869.jpg,,,,,,,,,, +裂舌橐吾,Ligularia stenoglossa,Y.S.Chen(陈又生),8093,20080818,云南省,3800,林下湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113412.jpg,,,,,,,,,, +裂舌橐吾,Ligularia stenoglossa,X.H.Jin et al.,DLJ-ET 3466,20080720,西藏自治区,,conifer forest.,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053182.jpg,,,,,,,,,, +穗序橐吾,Ligularia subspicata,陈又生,9657,20090829,四川省,3800~4000,山谷林缘草坡,,,https://image.cvh.ac.cn/files/l/PE/02053779.jpg,,,,,,,,,, +穗序橐吾,Ligularia subspicata,"杨亲二,孔宏智",98-141,19980825,云南省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799170.jpg,,,,,,,,,, +,Ligularia tangutorum,"康藏植物考察队(Kham Expedition)(陈又生,高云东,周广明,何理,张宪春,马祥光)",10-1567,20100810,西藏自治区,4000,林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111478.jpg,,,,,,,,,, +,Ligularia tangutorum,"陈又生,毕延超",11-156,20110817,云南省,4100,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111475.jpg,,,,,,,,,, +,Ligularia tenuicaulis,"李渤生,倪志诚,程树志",6024,19830729,西藏自治区,3600~4000,Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831219.jpg,,,,,,,,,, +纤细橐吾,Ligularia tenuicaulis,"杨亲二,孔宏智",98-120,19980824,云南省,3300,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01796902.jpg,,,,,,,,,, +东久橐吾,Ligularia tongkyukensis,R.P.Soulie,,19030708,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02037328.jpg,,,,,,,,,, +露珠草,Ligularia tongkyukensis,李春燕,BJTC008942,20190703,北京市,818,山坡路边,草本,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008942.jpg,,,,,,,,,, +东久橐吾,Ligularia tongkyukensis,胡君,王东超,李丽,李奥奥,曾思源,黄欣,SC-a-004-B18,20160729,四川省,3787,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610212.jpg,,,,,,,,,, +东俄洛橐吾,Ligularia tongolensis,FLPH Sichuan Expedition,151311,20150826,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084585.jpg,,,,,,,,,, +东俄洛橐吾,Ligularia tongolensis,FLPH Tibet Expedition,12-2141,,西藏自治区,3350,山谷林缘草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967157.jpg,,,,,,,,,, +横叶橐吾,Ligularia transversifolia,George Forrest,10831,19130800,云南省,3333~3667,Open stony pasture,,有花有果,https://image.cvh.ac.cn/files/l/PE/00532244.jpg,,,,,,,,,, +苍山橐吾,Ligularia tsangchanensis,"康藏植物考察队(Kham Expedition)(陈又生,高云东,周广明,何理,张宪春,马祥光)",10-1338,20100805,西藏自治区,3973,河谷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111484.jpg,,,,,,,,,, +苍山橐吾,Ligularia tsangchanensis,R.P.Soulie.,s.n.,19030708,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052385.jpg,,,,,,,,,, +离舌橐吾,Ligularia veitchiana,Y.S.Chen(陈又生),8131,20080825,陕西省,2750,in forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113401.jpg,,,,,,,,,, +离舌橐吾,Ligularia veitchiana,红广渝,4054,20100731,四川省,2298,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059438.jpg,,,,,,,,,, +离舌橐吾,Ligularia veitchiana,陈又生,6151,20060729,湖北省,1350~1650,Stream side,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053191.jpg,,,,,,,,,, +棉毛橐吾,Ligularia vellerea,尹志坚等,1608,20090722,云南省,3050,Ravine C.forest margins,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885401.jpg,,,,,,,,,, +棉毛橐吾,Ligularia vellerea,,13737,19760712,四川省,3200,潮湿灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01796991.jpg,,,,,,,,,, +长毛橐吾,Ligularia villosa,关克俭,2014,19570719,新疆维吾尔自治区,2500,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00532222.jpg,,,,,,,,,, +长毛橐吾,Ligularia villosa,毛品一,339,19560926,云南省,3100,山顶草坪,,有花有果,https://image.cvh.ac.cn/files/l/PE/00532065.jpg,,,,,,,,,, +长毛橐吾,Ligularia villosa,H.T.Tsai,57600,,云南省 ,0,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606296.jpg,,,,,,,,,, +,Ligularia virgaurea var. virgaurea,D. E. Boufford et al.,35735,20060804,四川省,4300~4350,disturbed gravelly soil on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01895112.jpg,,,,,,,,,, +,Ligularia virgaurea var. virgaurea,D. E. Boufford et al.,34394,20050809,青海省,3670~3700,"Meadows, thickers and Juniperus forest on slopes. Under shrubs and along stream",,有花无果,https://image.cvh.ac.cn/files/l/PE/01882607.jpg,,,,,,,,,, +云南橐吾,Ligularia yunnanensis,Y.S.Chen(陈又生),8087,20080818,云南省,4000,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113413.jpg,,,,,,,,,, +云南橐吾,Ligularia yunnanensis,,2644,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606356.jpg,,,,,,,,,, +,Ligusticopsis daucoides,"Delavay, J.M.",3618,1888-9-25,,,,,,https://image.cvh.ac.cn/files/l/P/P03776959.jpg,,,,,,,,,, +尖叶藁本,Ligusticum acuminatum,PE西藏队,PE6368,20170911,西藏自治区,3120,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330290.jpg,,,,,,,,,, +尖叶藁本,Ligusticum acuminatum,朱太平,253,19581007,云南省,2600,山顶石岩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758207.jpg,,,,,,,,,, +尖叶藁本,Ligusticum acuminatum,"关克俭,戴天伦",2414,19600830,河南省,1600,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758203.jpg,,,,,,,,,, +归叶藁本,Ligusticum angelicifolium,王文采,s.n.,19860914,四川省,3200,山坡灌丛边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01575647.jpg,,,,,,,,,, +归叶藁本,Ligusticum angelicifolium,P.Licent S.J.,14446,19270911,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00758216.jpg,,,,,,,,,, +归叶藁本,Ligusticum angelicifolium,K.M.Feng,6767,19400818,云南省,3700~3800,草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758214.jpg,,,,,,,,,, +短片藁本,Ligusticum brachylobum,CLD-90,1317,19901015,云南省,3140,open grassland with some shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/01893844.jpg,,,,,,,,,, +短片藁本,Ligusticum brachylobum,,995,19410730,贵州省,2200,酸性高山草原土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01600250.jpg,,,,,,,,,, +短片藁本,Ligusticum brachylobum,植物地理调查队,390,19780706,重庆市,1800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01375536.jpg,,,,,,,,,, +细苞藁本,Ligusticum capillaceum,青藏队,12697,19830807,四川省,3600,山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129820.jpg,,,,,,,,,, +细苞藁本,Ligusticum capillaceum,K.M.Feng,6590,19400813,云南省,3800~3900,岩坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758273.jpg,,,,,,,,,, +细苞藁本,Ligusticum capillaceum,T.P.Wang,7258,19370719,甘肃省,3800,On high weedy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758262.jpg,,,,,,,,,, +羽苞藁本,Ligusticum daucoides,"刘金鉴,田景全",54,19631008,四川省,3000,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087901.jpg,,,,,,,,,, +羽苞藁本,Ligusticum daucoides,M.Labbe Delavay,4093,18891029,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860142.jpg,,,,,,,,,, +丽江藁本,Ligusticum delavayi,M.Labbe Delavay,679,18841007,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860141.jpg,,,,,,,,,, +丽江藁本,Ligusticum delavayi,青藏队补点组,750698,19750725,西藏自治区,4210,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758347.jpg,,,,,,,,,, +,Ligusticum francheti,王启无,67295,19351000,云南省,3000,"Mountain slope,Crevice",,无花有果,https://image.cvh.ac.cn/files/l/PE/00758349.jpg,,,,,,,,,, +紫色藁本,Ligusticum francheti,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13954,20161017,四川,4006,高山灌草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1456182.jpg,,,,,,,,,, +紫色藁本,Ligusticum francheti,潘泽惠,等,1007,19860103,四川省,2600,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00039654.jpg,,,,,,,,,, +白叶藁本,Ligusticum glaucifolium,CLD-90,1142,19901011,云南省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01893846.jpg,,,,,,,,,, +白叶藁本,Ligusticum glaucifolium,杨竟生,610183,19610000,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0462988.jpg,,,,,,,,,, +,Ligusticum glaucifolium,"Forrest, George",11280,13-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00002345.jpg,,,,,,,,,, +吉隆藁本,Ligusticum gyirongense,,10851,19900919,西藏自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01196059.jpg,,,,,,,,,, +吉隆藁本,Ligusticum gyirongense,Y.P.Chang,635,19401101,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00026466.jpg,,,,,,,,,, +毛藁本,Ligusticum hispidum,,2454,19240908,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00780073.jpg,,,,,,,,,, +毛藁本,Ligusticum hispidum,青藏队,5170,19810826,四川省,3900,山坡草地,铺地草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0462989.jpg,,,,,,,,,, +多苞藁本,Ligusticum involucratum,CLD-90,1186,19901012,云南省,3445,Limestone rocks in open Abies delavayi forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01893838.jpg,,,,,,,,,, +多苞藁本,Ligusticum involucratum,青藏队,10138,19820908,西藏自治区,3700,山沟 灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129827.jpg,,,,,,,,,, +草甸藁本,Ligusticum kingdon-wardii,刘恩德等,3355,20110827,云南省,4000,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1262249.jpg,,,,,,,,,, +草甸藁本,Ligusticum kingdon-wardii,周太炎等,651291,19650806,新疆维吾尔自治区 ,3700,山坡草地,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0463056.jpg,,,,,,,,,, +美脉藁本,Ligusticum likiangense,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13930,20161016,四川,3287,路边灌草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1459061.jpg,,,,,,,,,, +美脉藁本,Ligusticum likiangense,任婷、李子宣,2044151,20200810,云南,2844,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02044151.jpg,,,,,,,,,, +美脉藁本,Ligusticum likiangense,四川植被调查队,3143,1973-8 1,四川省,4500,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102367.jpg,,,,,,,,,, +,Ligusticum moniliforme,"尹鑫, 吴航, 葛文静",LiuJQ-GN-2011-269,20111005,甘肃,,亚高山草甸坡地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1336632.jpg,,,,,,,,,, +串珠藁本,Ligusticum moniliforme,王生新,40,19630826,青海省,3210,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/001538.jpg,,,,,,,,,, +短尖藁本,Ligusticum mucronatum,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13288,20160821,新疆,2797,高山草丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1458747.jpg,,,,,,,,,, +,Ligusticum mucronatum,闫平,92270,19920816,新疆维吾尔自治区,2400,草原,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00578892.jpg,,,,,,,,,, +多管藁本,Ligusticum multivittatum,CLD-90,308,19900927,云南省,3400,Dry bank in Pinus forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01893839.jpg,,,,,,,,,, +多管藁本,Ligusticum multivittatum,蔡希陶,59690,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0463079.jpg,,,,,,,,,, +线叶藁本,Ligusticum nematophyllum,溥发鼎,356,1984-9 1,四川省,4200,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102412.jpg,,,,,,,,,, +线叶藁本,Ligusticum nematophyllum,谢登峰、蔡竞、秦换换,SC-00-022-A-017,20200823,四川,3805.6m,灌丛草原,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02061397.jpg,,,,,,,,,, +膜苞藁本,Ligusticum oliverianum,,s.n.,19820730,四川省,3750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129831.jpg,,,,,,,,,, +膜苞藁本,Ligusticum oliverianum,王启无,65969,19350800,西藏自治区,3500,"Meadow,Stream side",,有花无果,https://image.cvh.ac.cn/files/l/PE/00758492.jpg,,,,,,,,,, +膜苞藁本,Ligusticum oliverianum,王启无,69483,19350900,云南省,3300,Meadow,,无花有果,https://image.cvh.ac.cn/files/l/PE/00758488.jpg,,,,,,,,,, +蕨叶藁本,Ligusticum pteridophyllum,攀枝花苏铁考察队,529,20100915,四川省,1858,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879643.jpg,,,,,,,,,, +蕨叶藁本,Ligusticum pteridophyllum,王献浦,22061,19520923,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01553360.jpg,,,,,,,,,, +蕨叶藁本,Ligusticum pteridophyllum,"李渤生,倪志诚,程树志",6813,19830826,西藏自治区,2400~2600,沟谷 常见草本,,有花有果,https://image.cvh.ac.cn/files/l/PE/01537347.jpg,,,,,,,,,, +,Ligusticum rockii,J. F. Rock,16541,28-Jun,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00076821.jpg,,,,,,,,,, +抽葶藁本,Ligusticum scapiforme,Anonymous,5532,19740708,四川省,3600,草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01940346.jpg,,,,,,,,,, +抽葶藁本,Ligusticum scapiforme,青藏队,2772,19810714,云南省,4100~4200,高山 灌丛 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129846.jpg,,,,,,,,,, +川滇藁本,Ligusticum sikiangense,T.N.Liou & C.Wang,1226,19391004,四川省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758575.jpg,,,,,,,,,, +川滇藁本,Ligusticum sikiangense,,11782,19380901,湖南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00758565.jpg,,,,,,,,,, +细裂藁本,Ligusticum tenuisectum,陈彦生、吴振海、黎斌、郭晓思等,931,2004/7/6,陕西省,1900,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0490502.jpg,,,,,,,,,, +细裂藁本,Ligusticum tenuisectum,袁昌齐,8242,19820924,四川省,2200,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00025888.jpg,,,,,,,,,, +细裂藁本,Ligusticum tenuisectum,H.T.Tsai,53851,19330726,云南省 ,2800,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00064652.jpg,,,,,,,,,, +长茎藁本,Ligusticum thomsonii,罗建等,LuoJian-XZ-0933,20091005,西藏自治区,2847,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01923947.jpg,,,,,,,,,, +长茎藁本,Ligusticum thomsonii,,天伊035,19560807,新疆维吾尔自治区,2410,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758731.jpg,,,,,,,,,, +,Ligusticum yushuense,"陈世龙, 高庆波, 张发起等",ChenSL0664,20090818,青海,,高山河谷,柏树林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1336675.jpg,,,,,,,,,, +玉树藁本,Ligusticum yushuense,魏振铎,21892,19800726,青海省,3550,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/97620.jpg,,,,,,,,,, +长叶女贞,Ligustrum compactum,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",821,20021107,云南省,2430,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02101396.jpg,,,,,,,,,, +长叶女贞,Ligustrum compactum,236 四川任务组,142,19710715,四川省,900,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02085342.jpg,,,,,,,,,, +川滇蜡树,Ligustrum delavayanum,"张树仁,陈淑荣,朗校安等",1791,20140612,四川省,1117,山坡 林下 沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021328.jpg,,,,,,,,,, +川滇蜡树,Ligustrum delavayanum,汤宗孝,128,19810528,云南省,2400,山间谷地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647440.jpg,,,,,,,,,, +,Ligustrum gracile,K.L.Chu,2888,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01508040.jpg,,,,,,,,,, +,Ligustrum gracile,王启无,66422,19350900,西藏自治区,3400,Ravine oaks,,无花有果,https://image.cvh.ac.cn/files/l/PE/01508036.jpg,,,,,,,,,, +,Ligustrum gracile,刘慎谔,21578,19461014,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01508032.jpg,,,,,,,,,, +女贞,Ligustrum lucidum,安明先,3451,20030612,贵州省,900,山坡密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235431.jpg,,,,,,,,,, +女贞,Ligustrum lucidum,"朱秋桂,刘卿雯",205,20020823,浙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115871.jpg,,,,,,,,,, +女贞,Ligustrum lucidum,谭策铭,95280A,19950618,江西省,140,山谷溪流旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115518.jpg,,,,,,,,,, +小叶女贞,Ligustrum quihoui,巴山采集队,5944,20120703,四川省,450~831,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059258.jpg,,,,,,,,,, +小叶女贞,Ligustrum quihoui,巴山采集队,6092,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059256.jpg,,,,,,,,,, +小叶女贞,Ligustrum quihoui,"刘冰,覃海宁,张宪春等",787,20070613,贵州省,1386,石山山顶灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040631.jpg,,,,,,,,,, +,Ligustrum robustum var. chayuense,高信芬、涂卫国、何海、乔永康,6927,20030904,西藏自治区,1700,林下,乔木,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190922.jpg,,,,,,,,,, +察隅女贞,Ligustrum robustum var. chayuense,吴征镒等,5416,19760903,西藏,2000,松林缘沟谷边灌丛中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1209762.jpg,,,,,,,,,, +,Ligustrum sempervirens,J.M.Delavay,s.n.,18880530,云南省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01528617.jpg,,,,,,,,,, +,Ligustrum sempervirens,G.Forrest,22172,19220800,四川省,3333,Open thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01509820.jpg,,,,,,,,,, +小蜡,Ligustrum sinense,"朱秋桂,刘卿雯",204,20020823,浙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115870.jpg,,,,,,,,,, +小蜡,Ligustrum sinense,谭策铭,93626-A,19931128,江西省,250,山谷溪流旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115516.jpg,,,,,,,,,, +小蜡,Ligustrum sinense,"朱大海,苏小镔,王斌等",129,20020412,四川省,720,低山上陵,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114772.jpg,,,,,,,,,, +野百合,Lilium brownii,,158,19630619,贵州省,1600,草地阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/02307783.jpg,,,,,,,,,, +野百合,Lilium brownii,三峡考察队,2521,20080724,重庆市,1540~985,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307781.jpg,,,,,,,,,, +野百合,Lilium brownii,"张树仁,陈淑荣,朗校安等",2229,20140622,四川省,1252~1800,路边 山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021740.jpg,,,,,,,,,, +川百合,Lilium davidii,236-6队,2779,19760712,湖北省,1400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307799.jpg,,,,,,,,,, +川百合,Lilium davidii,巴山采集队,2410,20080728,重庆市,1330,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307792.jpg,,,,,,,,,, +川百合,Lilium davidii,贵州队,6443,19600702,贵州省,1050,山坡岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/02307787.jpg,,,,,,,,,, +宝兴百合,Lilium duchartrei,"杨亲二,袁琼",Yangqe2296,20080818,云南省,2800,林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307796.jpg,,,,,,,,,, +宝兴百合,Lilium duchartrei,Harry Smith,6578,19240721,山西省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948102.jpg,,,,,,,,,, +宝兴百合,Lilium duchartrei,王一峰等,94413,19940714,甘肃省,2100,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01945994.jpg,,,,,,,,,, +哈巴百合,Lilium habaense,冯国楣/K.M.Feng,1229,19390608,云南省,,乱石内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00035866.jpg,,,,,,,,,, +哈巴百合,Lilium habaense,高信芬、朱章明、鞠文彬、金伟涛,13371,20110704,四川省,3070,河谷沟边,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0222529.jpg,,,,,,,,,, +哈巴百合,Lilium habaense,R.Gorz,,19220800,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/038021762.jpg,,,,,,,,,, +墨江百合,Lilium henrici,George Forrest,18282,19190000,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948633.jpg,,,,,,,,,, +墨江百合,Lilium henrici,北京所横断山队,738,19810622,云南省,2600~3300,云南松林下 常见草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538150.jpg,,,,,,,,,, +墨江百合,Lilium henrici,杨光辉,56519,19570809,四川省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00332982.jpg,,,,,,,,,, +丽江百合,Lilium lijiangense,彭隆金/L.J.Peng,81-26,19810700,云南省,3400,林下石崖,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00035896.jpg,,,,,,,,,, +丽江百合,Lilium lijiangense,彭隆金,81-26,19810726,云南,3300-3400,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1289720.jpg,,,,,,,,,, +尖被百合,Lilium lophophorum,FLPH Tibet Expedition,12-1772,20120919,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966614.jpg,,,,,,,,,, +尖被百合,Lilium lophophorum,汤宗孝等,281,19820709,四川省,4200,高山灌丛草场山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948908.jpg,,,,,,,,,, +尖被百合,Lilium lophophorum,,802,19810806,云南省,3820,灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01644949.jpg,,,,,,,,,, +马塘百合,Lilium matangense,李馨/S.Lee,71638,19570621,四川省,3250,,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00036343.jpg,,,,,,,,,, +马塘百合,Lilium matangense,,162,19800609,四川,2900,草地岩石旁,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM722203561.jpg,,,,,,,,,, +紫斑百合,Lilium nepalense,吴征镒等,75-586,19750704,西藏自治区,3000,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948650.jpg,,,,,,,,,, +紫斑百合,Lilium nepalense,,75-592,19750710,,2400,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01945602.jpg,,,,,,,,,, +乳头百合,Lilium papilliferum,K.M.Feng,9292,19420705,西藏自治区,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00036369.jpg,,,,,,,,,, +乳头百合,Lilium papilliferum,秦仁昌,30852,19400705,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00220214.jpg,,,,,,,,,, +乳头百合,Lilium papilliferum,郭本兆,3654,1958/9/15,陕西,1000,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0112982.jpg,,,,,,,,,, +藏百合,Lilium paradoxum,李勃生等,6649,19830818,西藏自治区,3100~3600,山坡灌丛内偶见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01469197.jpg,,,,,,,,,, +藏百合,Lilium paradoxum,高云东,袁俞梅,gyd-1406,20220702,西藏,3670,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0286960.jpg,,,,,,,,,, +,Lilium primulinum var. burmanicum,李渤生,Y0338,19781000,云南省,2400,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01377366.jpg,,,,,,,,,, +山丹,Lilium pumilum,"武建勇,吴振海,刘艳,王华锋",144,20050709,陕西省,1040,路边,河流旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307806.jpg,,,,,,,,,, +山丹,Lilium pumilum,,319,19880723,山西省,2000,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307779.jpg,,,,,,,,,, +山丹,Lilium pumilum,段俊喜,591,19560716,河北省,1400,半阳处,陡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307771.jpg,,,,,,,,,, +岷江百合,Lilium regale,,s.n.,,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00332588.jpg,,,,,,,,,, +岷江百合,Lilium regale,袁淑华,101112,1963,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/222503.jpg,,,,,,,,,, +囊被百合,Lilium saccatum,青藏队,74-3754,19740730,西藏自治区,3900,山坡灌丛草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00036408.jpg,,,,,,,,,, +囊被百合,Lilium saccatum,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2640,20090925,西藏,3710,灌丛边,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1436846.jpg,,,,,,,,,, +通江百合,Lilium sargentiae,巴山采集队,6243,20120708,四川省,554~610,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066252.jpg,,,,,,,,,, +通江百合,Lilium sargentiae,刘正宇,14039,19930814,重庆市,780,山坡 土坎上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01570238.jpg,,,,,,,,,, +蒜头百合,Lilium sempervivoideum,,s.n.,,云南省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00332644.jpg,,,,,,,,,, +蒜头百合,Lilium sempervivoideum,石师生物系,12226,19760613,四川省,2100,火烧地 草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00220201.jpg,,,,,,,,,, +紫花百合,Lilium souliei,康藏植物考察队,10-3252,20100903,云南省,4000,疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967988.jpg,,,,,,,,,, +紫花百合,Lilium souliei,生态室高原组,14974,19800906,西藏自治区,3800,灌丛草甸中常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376474.jpg,,,,,,,,,, +单花百合,Lilium stewartianum,C.W.Wang,65668A,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00332709.jpg,,,,,,,,,, +单花百合,Lilium stewartianum,C.W.Wang,65631,19350800,西藏自治区,3500,grassy slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00332706.jpg,,,,,,,,,, +淡黄花百合,Lilium sulphureum,王洪,5081,20010729,云南省,1600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02307802.jpg,,,,,,,,,, +淡黄花百合,Lilium sulphureum,贵州队,7141,19560717,贵州省,1300,山脚草地上,,无花有果,https://image.cvh.ac.cn/files/l/PE/02307790.jpg,,,,,,,,,, +大理百合,Lilium taliense,李朝利等,418,20060712,重庆市,1400,林缘石壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307804.jpg,,,,,,,,,, +大理百合,Lilium taliense,,401,19630623,贵州省,2160,灌木丛中草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307784.jpg,,,,,,,,,, +大理百合,Lilium taliense,"杨亲二,袁琼",Yangqe1980,20080724,云南省,3300,林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307775.jpg,,,,,,,,,, +,Lilium tigrinum,广西队,655,19530600,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017684.jpg,,,,,,,,,, +,Lilium tigrinum,万涛等,FSB-800,20130709,四川省,,沿路,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994183.jpg,,,,,,,,,, +,Lilium tigrinum,李书馨等,50,19590610,辽宁省,,栽培于庙宅附近或牛?生化,,有花无果,https://image.cvh.ac.cn/files/l/PE/01945753.jpg,,,,,,,,,, +卓巴百合,Lilium wardii,"Jin Xh,Wang LS Wang Q et al.",ST1184,20130727,云南省,2400~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977118.jpg,,,,,,,,,, +卓巴百合,Lilium wardii,金效华,SET-ET 1058,20090830,西藏自治区,2916,along the forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948901.jpg,,,,,,,,,, +卓巴百合,Lilium wardii,K.L.Chu,1646,19350628,重庆市,2000,in shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/00331838.jpg,,,,,,,,,, +,Limonium aureum var. aureum,"郭柯,郑度",12696,19880908,青海省,3900,河谷冲积阶地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468503.jpg,,,,,,,,,, +,Limonium aureum var. aureum,"郭柯,郑度",12194,19880714,新疆维吾尔自治区,3400,河谷冲积阶地,石质化稍强,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468500.jpg,,,,,,,,,, +,Limonium aureum var. maduoensis,H. B. G.,1432,19930819,青海省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0232535.jpg,,,,,,,,,, +二色补血草,Limonium bicolor,陈全胜,CF-0009-234,20170826,内蒙古自治区,2264,沙质草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246638.jpg,,,,,,,,,, +二色补血草,Limonium bicolor,孔冬梅,k0222,20140706,山西省,496,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040594.jpg,,,,,,,,,, +喀什补血草,Limonium kaschgaricum,"李安仁,朱家楠",7490,19580910,新疆维吾尔自治区,1320,山脚,,有花有果,https://image.cvh.ac.cn/files/l/PE/00749468.jpg,,,,,,,,,, +喀什补血草,Limonium kaschgaricum,,s.n.,18670730,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00027791.jpg,,,,,,,,,, +喀什补血草,Limonium kaschgaricum,,8417,1958/9/17,新疆维吾尔族自治区,1300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0257363.jpg,,,,,,,,,, +水茫草,Limosella aquatica,D.E.Boufford et al.,37242,20060824,四川省,3990,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01916147.jpg,,,,,,,,,, +水茫草,Limosella aquatica,Lowell Ahart,626,19820501,,50,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01618587.jpg,,,,,,,,,, +水茫草,Limosella aquatica,侯学煜,11593,19500917,黑龙江省,200,水池边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01552852.jpg,,,,,,,,,, +帕米尔柳穿鱼,Linaria kulabensis,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13512,20160830,新疆,1240,石质山坡上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1451342.jpg,,,,,,,,,, +帕米尔柳穿鱼,Linaria kulabensis,,73-59,73.05.31,新疆维吾尔自治区 ,2800,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00034263.jpg,,,,,,,,,, +帕米尔柳穿鱼,Linaria kulabensis,,73-59,730531,,2800,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20012849.jpg,,,,,,,,,, +宽叶柳穿鱼,Linaria thibetica,罗毅波,ML057,20090928,西藏自治区,3718,高山灌丛、草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916156.jpg,,,,,,,,,, +宽叶柳穿鱼,Linaria thibetica,洪德元等,95077,19950825,四川省,3100,N坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01475742.jpg,,,,,,,,,, +宽叶柳穿鱼,Linaria thibetica,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01383620.jpg,,,,,,,,,, +长柱琉璃草,Lindelofia stylosa,青藏队,870586,19870712,新疆维吾尔自治区,3400,河滩沙砾地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110395.jpg,,,,,,,,,, +长柱琉璃草,Lindelofia stylosa,,826,19640713,甘肃省,2900,山谷草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648882.jpg,,,,,,,,,, +长柱琉璃草,Lindelofia stylosa,青藏队植被组,12815,19600613,西藏自治区,4100,山坡 冲沟间细土层,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519071.jpg,,,,,,,,,, +大花钟萼草,Lindenbergia grandiflora,王启无,77773,19360800,云南省,1000,Temple wall,,有花无果,https://image.cvh.ac.cn/files/l/PE/01481852.jpg,,,,,,,,,, +大花钟萼草,Lindenbergia grandiflora,T.N.Liou,6399,19320312,,2185,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01383821.jpg,,,,,,,,,, +大花钟萼草,Lindenbergia grandiflora,胡启明,61,19560517,湖北省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0556576.jpg,,,,,,,,,, +野地钟萼草,Lindenbergia muraria,刘恩德,上官法智,4090,20141105,贵州省,830,on steep slope along valley,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1253265.jpg,,,,,,,,,, +野地钟萼草,Lindenbergia muraria,高连明,GLM-07560,20070505,云南省,3000,高山草甸灌丛,,,https://image.cvh.ac.cn/files/l/KUN/1272775.jpg,,,,,,,,,, +野地钟萼草,Lindenbergia muraria,"朱鑫鑫, 王君, 林庶",ZXX191893,20191218,云南,1038,亚热带阔叶林,林中空地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1483377.jpg,,,,,,,,,, +钟萼草,Lindenbergia philippensis,王阳明,380,20050625,广西壮族自治区,260,山坡红壤 光强 湿度干,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115477.jpg,,,,,,,,,, +钟萼草,Lindenbergia philippensis,刘冰,760,20070612,贵州省,1157,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043148.jpg,,,,,,,,,, +钟萼草,Lindenbergia philippensis,彭华等,6034,20070309,云南省,900,dry and hot grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913574.jpg,,,,,,,,,, +香叶树,Lindera communis,"关克俭,王文采",2402,19630820,四川省,750,山坡疏林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091716.jpg,,,,,,,,,, +香叶树,Lindera communis,"董洪进,王泽欢,尹志坚",WM-0418,20160505,云南省,1500~1800,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090711.jpg,,,,,,,,,, +贡山山胡椒,Lindera doniana,青藏队,8821,19820728,云南省,2400,山坡,常绿,阔叶林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0103998.jpg,,,,,,,,,, +,Lindera doniana,王唘旡 刘瑛,90170,19390400,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2002011.jpg,,,,,,,,,, +红果山胡椒,Lindera erythrocarpa,Chien-I Huang et al.,1438,20030715,台湾省,1690,Mixed broadleaf forest and Miscanthus grassland,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873939.jpg,,,,,,,,,, +红果山胡椒,Lindera erythrocarpa,谭策铭,9610140,19961028,江西省,1200,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01868997.jpg,,,,,,,,,, +红果山胡椒,Lindera erythrocarpa,PE-古蔺考察队,18,20100528,四川省,1100~900,林缘沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01864696.jpg,,,,,,,,,, +绒毛钓樟,Lindera floribunda,李延辉,34526,19821215,云南省,,干燥,,无花有果,https://image.cvh.ac.cn/files/l/PE/01814407.jpg,,,,,,,,,, +绒毛钓樟,Lindera floribunda,邓云飞,823,19870801,湖南省,460,石灰岩 山地 山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604885.jpg,,,,,,,,,, +绒毛钓樟,Lindera floribunda,"熊济华,周子林",90143,19570404,重庆市,900,沙岩,松林 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522099.jpg,,,,,,,,,, +香叶子,Lindera fragrans,巴山采集队,5865,20120701,四川省,1354~1500,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066203.jpg,,,,,,,,,, +香叶子,Lindera fragrans,"简焯坡,应俊生,马成功,李雅茹等",30311,19630805,贵州省,800,密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01980358.jpg,,,,,,,,,, +香叶子,Lindera fragrans,白水江考察队,1006,20060704,甘肃省,1500,河谷山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01858548.jpg,,,,,,,,,, +绿叶甘橿(原变种),Lindera fruticosa var. fruticosa,詹选怀、彭焱松等,LXP0483,20131020,江西,715,山坡、灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/LBG/LBG00122503.jpg,,,,,,,,,, +绿叶甘橿(原变种),Lindera fruticosa var. fruticosa,詹选怀、彭焱松等,LXP3657,20150520,湖南,862,山谷、疏林、溪边,灌木,无花有果,https://image.cvh.ac.cn/files/l/LBG/LBG00123161.jpg,,,,,,,,,, +纤梗山胡椒,Lindera gracilipes,辛景三,366,19570824,云南省,1350,沟边 疏林斜坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01522516.jpg,,,,,,,,,, +纤梗山胡椒,Lindera gracilipes,华南队,1021,1989-05-,广西壮族自治区,1200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0049975.jpg,,,,,,,,,, +更里山胡椒,Lindera kariensis,K.M.Feng,4243,19400528,云南省,3260,杂林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522212.jpg,,,,,,,,,, +更里山胡椒,Lindera kariensis,生态室高原组,10330,19800625,西藏自治区,3300,落叶松林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00482923.jpg,,,,,,,,,, +团香果,Lindera latifolia,刘恩德,180,20030420,云南省,2400,山坡林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026535.jpg,,,,,,,,,, +团香果,Lindera latifolia,何叶祺,1752,19581104,四川省,600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522100.jpg,,,,,,,,,, +卵叶钓樟,Lindera limprichtii,王祺,,20120406,陕西省,1150,低山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01899354.jpg,,,,,,,,,, +卵叶钓樟,Lindera limprichtii,白水江考察队,966,20060704,甘肃省,1300,河谷山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01858543.jpg,,,,,,,,,, +卵叶钓樟,Lindera limprichtii,巴山采集队,2219,20080720,重庆市,1450,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851716.jpg,,,,,,,,,, +山柿子果,Lindera longipedunculata,T.T.Yu,17252,19380806,云南省,2300,in ravine among forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01522216.jpg,,,,,,,,,, +山柿子果,Lindera longipedunculata,"李渤生,李辉",14001,19901007,西藏自治区,2840,常绿阔叶林下主要二层乔木,,无花有果,https://image.cvh.ac.cn/files/l/PE/01486804.jpg,,,,,,,,,, +黑壳楠,Lindera megaphylla,"川西队,关克俭,王文采等",2492,19630820,四川省,750,山坡疏林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091719.jpg,,,,,,,,,, +黑壳楠,Lindera megaphylla,川黔队,299,19560512,重庆市,500,山 山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083278.jpg,,,,,,,,,, +黑壳楠,Lindera megaphylla,Anonymous,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994773.jpg,,,,,,,,,, +西藏山胡椒,Lindera motuoensis,青藏队,74-4989,19740902,西藏自治区,1520,山坡阔叶林下,乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935864.jpg,,,,,,,,,, +山胡椒属,Lindera motuoensis,倪志诚,237,19830520,西藏,1800-2100,山坡常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0002208.jpg,,,,,,,,,, +绒毛山胡椒,Lindera nacusua,"张志耘,李良千等",2014-007,20140516,江西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02014992.jpg,,,,,,,,,, +绒毛山胡椒,Lindera nacusua,刘标,1273,20050609,广西壮族自治区,750,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814489.jpg,,,,,,,,,, +绒毛山胡椒,Lindera nacusua,李延辉,5844,19641103,云南省,1800,箐沟疏林湿润,,无花有果,https://image.cvh.ac.cn/files/l/PE/01814406.jpg,,,,,,,,,, +绿叶甘,Lindera neesiana,PE西藏队,PE6229,20170910,西藏自治区,2488~2994,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309692.jpg,,,,,,,,,, +绿叶甘,Lindera neesiana,龙茹,90238,20090517,湖北省,1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02003756.jpg,,,,,,,,,, +绿叶甘,Lindera neesiana,巴山采集队,5481,20110711,四川省,1475,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872831.jpg,,,,,,,,,, +滇藏钓樟,Lindera obtusiloba var. obtusiloba,,,19790910,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/076939.jpg,,,,,,,,,, +三桠乌药(原变种),Lindera obtusiloba var. obtusiloba,白洪兵、和仕波,533324180819400LY,20180819,云南,3090,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010008.jpg,,,,,,,,,, +,Lindera pulcherrima var. pulcherrima,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003125,20171208,,2339,Roadside,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445883.jpg,,,,,,,,,, +西藏钓樟,Lindera pulcherrima var. pulcherrima,昆明生态所,,19840725,西藏自治区,2400,青冈林中,乔木,,https://image.cvh.ac.cn/files/l/HITBC/0016094.jpg,,,,,,,,,, +菱叶钓樟,Lindera supracostata,广西调查队,3051,19530801,广西壮族自治区,,山坡密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01994787.jpg,,,,,,,,,, +菱叶钓樟,Lindera supracostata,,616,19730729,西藏自治区,2400,铁杉阔叶混交林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01539449.jpg,,,,,,,,,, +菱叶钓樟,Lindera supracostata,236任务组,121,19720727,四川省,,山坡 沟谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01534763.jpg,,,,,,,,,, +三股筋香,Lindera thomsonii,"周浙昆,费勇,税玉民等",424,19991024,云南省,2500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01859967.jpg,,,,,,,,,, +三股筋香,Lindera thomsonii,王洪,6589,20021020,广西壮族自治区,1200,石灰岩山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814408.jpg,,,,,,,,,, +三股筋香,Lindera thomsonii,,314,19730703,西藏自治区,1650,常绿阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01539447.jpg,,,,,,,,,, +天全钓樟,Lindera tienchuanensis,George Forrest,29966,,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01520197.jpg,,,,,,,,,, +天全钓樟,Lindera tienchuanensis,茂汶组,2258,19590522,四川省,2000,沿河沟旁,乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935881.jpg,,,,,,,,,, +毛柄钓樟,Lindera villipes,C.W.Wang,67069,19351000,云南省,3000,Under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00935894.jpg,,,,,,,,,, +毛柄钓樟,Lindera villipes,"李渤生,程树志",1889,19821121,西藏自治区,2400,常绿阔叶林中常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00482958.jpg,,,,,,,,,, +,Lindera villipes,刘成,王苏化,朱迪恩,李先耀,12CS4350,20120417,云南,2170,次生林林缘茶地边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1320656.jpg,,,,,,,,,, +刺齿泥花草,Lindernia ciliata,萧百中,4702,20050912,湖南省,550,山坡红壤,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621528.jpg,,,,,,,,,, +刺齿泥花草,Lindernia ciliata,P.C.Tsoong,4699,,,350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591184.jpg,,,,,,,,,, +刺齿泥花草,Lindernia ciliata,青藏队植被组,3181,19740910,西藏自治区,900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01481882.jpg,,,,,,,,,, +母草,Lindernia crustacea,郭成勇,20065-479-8,20061003,山东省,250,路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054449.jpg,,,,,,,,,, +母草,Lindernia crustacea,肖简文,5804,20030828,贵州省,780,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052479.jpg,,,,,,,,,, +,Lindernia hyssopoides,叶金科等,YNS0468,20081225,云南省,1044,水田中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1383017.jpg,,,,,,,,,, +尖果母草,Lindernia hyssopoides,"邢军, 辛晓伟",XINGJ027,20191020,山东,65,温带湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486071.jpg,,,,,,,,,, +尖果母草,Lindernia hyssopoides,李振琴,36,19921000,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/FJFC/FJFC0001649.jpg,,,,,,,,,, +宽叶母草,Lindernia nummulariifolia,郭永杰,唐培洵,金永明,张娅婕,13CS8008,20130827,云南,1673,沟边,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1396058.jpg,,,,,,,,,, +,Lindernia nummulariifolia,田先华,TianXH1123,20141013,陕西省,805,亚热带农田地边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1383024.jpg,,,,,,,,,, +,Lindernia nummulariifolia,李盛兰,GanQL152,20111014,湖北省,607,旱地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1383029.jpg,,,,,,,,,, +陌上菜,Lindernia procumbens,郭成勇,20061-474-4,20060921,山东省,250,溪边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054451.jpg,,,,,,,,,, +陌上菜,Lindernia procumbens,K.-H.Kim,201123-0099,20110829,,39,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02040455.jpg,,,,,,,,,, +陌上菜,Lindernia procumbens,北京队,894214,19890523,广西壮族自治区,500,田间,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010002.jpg,,,,,,,,,, +旱田草,Lindernia ruellioides,李振宇等,1517,19981025,广西壮族自治区,850,田间,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010003.jpg,,,,,,,,,, +旱田草,Lindernia ruellioides,P.C.Tsoong,746,,,200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591193.jpg,,,,,,,,,, +旱田草,Lindernia ruellioides,"王印政,彭华,邓德山等",3870,19981015,云南省,1680,山地 田间 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01568129.jpg,,,,,,,,,, +短柱亚麻,Linum pallescens,"近田文弘,杨戈",38,19860717,新疆维吾尔自治区,1540,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01197163.jpg,,,,,,,,,, +短柱亚麻,Linum pallescens,,2077,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00965161.jpg,,,,,,,,,, +短柱亚麻,Linum pallescens,"傅国勋,张经炜",38,19600514,西藏自治区,,沟边 沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00965159.jpg,,,,,,,,,, +宿根亚麻,Linum perenne,青藏队植被组,38,19740618,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086530.jpg,,,,,,,,,, +宿根亚麻,Linum perenne,"赤峰采集队(翟秀丽,刘冰,杨福龙等)",2-035,20080724,内蒙古自治区,1163,草甸草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044976.jpg,,,,,,,,,, +宿根亚麻,Linum perenne,段长虹,Dch0391,20140719,山西省,1132,农田地畔,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045154.jpg,,,,,,,,,, +折唇羊耳蒜,Liparis bistriata,金效华,8168,20060421,云南省,1100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033650.jpg,,,,,,,,,, +折唇羊耳蒜,Liparis bistriata,South Tibet Exp. Team (STET),SETE2285,20100807,西藏自治区,,840,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914897.jpg,,,,,,,,,, +镰翅羊耳蒜,Liparis bootanensis,"S.K.Wu,L.H.Liu,Y.M.Shui etc.",4327,19961017,云南省,2100,epiphytic,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033578.jpg,,,,,,,,,, +镰翅羊耳蒜,Liparis bootanensis,Luo Yi-bo,366,20000816,广西壮族自治区,1400,林下山谷枯树干上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033419.jpg,,,,,,,,,, +,Liparis campylostalix,Xiaohua Jin,9034,20070628,云南省,2131,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033364.jpg,,,,,,,,,, +齿唇羊耳蒜,Liparis campylostalix,"朱鑫鑫, 石琳琳, 段帅帅, 胡梦杰, 吕擎",ZXX18645,20181012,湖北,689,亚热带针阔混交林,沟谷中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1449500.jpg,,,,,,,,,, +羊耳蒜,Liparis campylostalix,武隆队,500232-316-02,20120618,重庆市,270,针阔混交林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0013159.jpg,,,,,,,,,, +二褶羊耳蒜,Liparis cathcartii,Luo Yi-bo,141(9712),19970701,云南省,2900,on the rock covered by moss besides the highway,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033224.jpg,,,,,,,,,, +二褶羊耳蒜,Liparis cathcartii,,77925,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00341793.jpg,,,,,,,,,, +二褶羊耳蒜,Liparis cathcartii,吴印禅,21273,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00341789.jpg,,,,,,,,,, +丛生羊耳蒜,Liparis cespitosa,Xiaohua Jin,9316,20080318,海南省,906,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033414.jpg,,,,,,,,,, +丛生羊耳蒜,Liparis cespitosa,"X.H.Jin,Y.S.Chen,H.Q.Li etc.",DLJ-ET0337,20080626,云南省,1968,evergreen broadleaf,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033408.jpg,,,,,,,,,, +平卧羊耳蒜,Liparis chapaensis,Xiaohua Jin,9519,20081113,云南省,,forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033411.jpg,,,,,,,,,, +平卧羊耳蒜,Liparis chapaensis,Luo Yi-bo,440,20000831,贵州省,1100~1260,林下岩壁上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033105.jpg,,,,,,,,,, +平卧羊耳蒜,Liparis chapaensis,,,,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989291.jpg,,,,,,,,,, +心叶羊耳蒜,Liparis cordifolia,金效华,8440,20060911,甘肃省,2000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033418.jpg,,,,,,,,,, +心叶羊耳蒜,Liparis cordifolia,Xiaohua Jin,9052,20070704,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032863.jpg,,,,,,,,,, +心叶羊耳蒜,Liparis cordifolia,Southeast Tibet Exp. Team,SET-ET 1122,20090902,西藏自治区,1543,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01914958.jpg,,,,,,,,,, +小巧羊耳蒜,Liparis delicatula,华南生物多样性调查队 金效华,5031,20030927,海南省,1000,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033273.jpg,,,,,,,,,, +小巧羊耳蒜,Liparis delicatula,Jin Xiaohua,10456,20100906,西藏自治区,1100,evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033111.jpg,,,,,,,,,, +小巧羊耳蒜,Liparis delicatula,壶瓶山考察队,1138,19870708,湖南省,700~800,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01340673.jpg,,,,,,,,,, +大花羊耳蒜,Liparis distans,HK kadoorie PT,3368,20020427,云南省,1500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097618.jpg,,,,,,,,,, +大花羊耳蒜,Liparis distans,金效华,547,20000900,贵州省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097490.jpg,,,,,,,,,, +扁球羊耳蒜,Liparis elliptica,中苏队,5351,19570228,云南省,1300,山坡阴处灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230474.jpg,,,,,,,,,, +扁球羊耳蒜,Liparis elliptica,HK kadoorie PT,725,20010500,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01989279.jpg,,,,,,,,,, +小羊耳蒜,Liparis fargesii,金效华,551,20001003,贵州省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820735.jpg,,,,,,,,,, +小羊耳蒜,Liparis fargesii,北京队,1743,19880620,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01340674.jpg,,,,,,,,,, +,Liparis gigantea,高锡朋,51255,19310331,广东省,,河边石壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00027182.jpg,,,,,,,,,, +,Liparis gigantea,Tsang Wai Tai Wong Kam Chow,2653,1926-10-,广东; KWANGTUNG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028974.jpg,,,,,,,,,, +方唇羊耳蒜,Liparis glossula,Jin Xiaohua,10395,20100626,云南省,2186,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033117.jpg,,,,,,,,,, +方唇羊耳蒜,Liparis glossula,PE-西藏队,660,20100809,西藏自治区,2792~3225,山坡,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866919.jpg,,,,,,,,,, +见血青,Liparis nervosa,Jin Weitao,13418,20120706,云南省,1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233160.jpg,,,,,,,,,, +见血青,Liparis nervosa,Jin Weitao,13463,20120926,广西壮族自治区,742,subtropical forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049863.jpg,,,,,,,,,, +见血青,Liparis nervosa,"刘冰,覃海宁,张宪春等",844,20070614,贵州省,1300,石山林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039148.jpg,,,,,,,,,, +香花羊耳蒜,Liparis odorata,金效华,271,20000800,贵州省,1200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033486.jpg,,,,,,,,,, +香花羊耳蒜,Liparis odorata,Xiaohua Jin,9213,20070902,四川省,1557,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033417.jpg,,,,,,,,,, +香花羊耳蒜,Liparis odorata,Xiaohua Jin,9039,20070701,云南省,900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033130.jpg,,,,,,,,,, +柄叶羊耳蒜,Liparis petiolata,Jin Xiaohua,11677,20111004,云南省,2100~2400,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033497.jpg,,,,,,,,,, +柄叶羊耳蒜,Liparis petiolata,South Tibet Exp. Team (STET),STET1910,20100801,西藏自治区,1600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914853.jpg,,,,,,,,,, +蕊丝羊耳蒜,Liparis resupinata,Jin Xiaohua,14003,20140105,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233163.jpg,,,,,,,,,, +蕊丝羊耳蒜,Liparis resupinata,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T195,20160915,西藏自治区,1524,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233079.jpg,,,,,,,,,, +齿突羊耳蒜,Liparis rostrata,青藏队植被组,5292,19750714,西藏自治区,2650,沟边石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850891.jpg,,,,,,,,,, +齿突羊耳蒜,Liparis rostrata,王本忠,HY01,20200513,湖南,996,,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI075732.jpg,,,,,,,,,, +齿突羊耳蒜,Liparis rostrata,朱鑫鑫,王君,王美华,ZXX20229,20200520,安徽,440,山坡林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505178.jpg,,,,,,,,,, +扇唇羊耳蒜,Liparis stricklandiana,Jin Weitao,13480,20121001,广西壮族自治区,1100~1230,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049865.jpg,,,,,,,,,, +扇唇羊耳蒜,Liparis stricklandiana,中越考察队,932,,山西省,370~400,谷沟林缘阴处溪边石山,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033491.jpg,,,,,,,,,, +扇唇羊耳蒜,Liparis stricklandiana,"X.H.Jin,Y.S.Chen,H.Q.Li etc.",DLJ-ET2735,20080713,云南省,1780,evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033083.jpg,,,,,,,,,, +折苞羊耳蒜,Liparis tschangii,Xiaohua Jin,9214,20070902,四川省,1557,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033639.jpg,,,,,,,,,, +折苞羊耳蒜,Liparis tschangii,王启无,77825,19360800,云南省,1100,under dense woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00522243.jpg,,,,,,,,,, +长茎羊耳蒜,Liparis viridiflora,中植联广西队,4613,20081024,广西壮族自治区,866~945,石灰岩山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033494.jpg,,,,,,,,,, +长茎羊耳蒜,Liparis viridiflora,Jin Xiaohua,11852,20111102,云南省,1500,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033487.jpg,,,,,,,,,, +长茎羊耳蒜,Liparis viridiflora,华南生物多样性调查队 金效华,5534,20031111,海南省,200~300,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033223.jpg,,,,,,,,,, +华湖瓜草,Lipocarpha chinensis,陇西山考察队,2544,19910922,福建省,750,田边 湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01549714.jpg,,,,,,,,,, +华湖瓜草,Lipocarpha chinensis,Miyoshi Furuse,2700,19730319,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01200958.jpg,,,,,,,,,, +华湖瓜草,Lipocarpha chinensis,Y.Yabe,,19090821,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00028849.jpg,,,,,,,,,, +,Lithocarpus arcaulus,,703,19750717,西藏自治区,2400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815226.jpg,,,,,,,,,, +,Lithocarpus arcaulus,王洪,3976,20000313,云南省,1400,山坡密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604941.jpg,,,,,,,,,, +,Lithocarpus cleistocarpus var. omeiensis,汪发缵,10061,19450000,重庆市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00193159.jpg,,,,,,,,,, +,Lithocarpus cleistocarpus var. omeiensis,T.N.Liou & C.Wang,1177,19391002,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00193117.jpg,,,,,,,,,, +峨眉石栎,Lithocarpus cleistocarpus var. omeiensis,李锡文,46,19580829,云南省,0,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/501036.jpg,,,,,,,,,, +,Lithocarpus collettii,生态室高原组,14169,19800812,西藏自治区,1600,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491421.jpg,,,,,,,,,, +格林柯,Lithocarpus collettii,禹平华 邱炳云,106,1953/4/18,云南省,2500,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0194600.jpg,,,,,,,,,, +,Lithocarpus confinis,,106,19530418,云南省,2500,山谷疏林斜坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01815173.jpg,,,,,,,,,, +,Lithocarpus confinis,钟补勤,229,19271023,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01815172.jpg,,,,,,,,,, +,Lithocarpus confinis,川经凉(59)字,3346,19590601,四川省,1000,老林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815170.jpg,,,,,,,,,, +,Lithocarpus craibianus,780工程,841,19781123,云南省,2100,黑豹脑 云南松阔叶树混交林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046181.jpg,,,,,,,,,, +,Lithocarpus craibianus,朱水法,20286,19590910,四川省,2200,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00193324.jpg,,,,,,,,,, +泥椎柯,Lithocarpus fenestratus,"李渤生,程树志等",3614,19830519,西藏自治区,1600,常绿阔叶林中常见乔木,,无花无果,https://image.cvh.ac.cn/files/l/PE/01815158.jpg,,,,,,,,,, +泥椎柯,Lithocarpus fenestratus,周沛椿,10850,19591103,广西壮族自治区,,山地 山谷 疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01659754.jpg,,,,,,,,,, +泥椎柯,Lithocarpus fenestratus,周沛椿,10881,19591124,广东省,1900,山地 山腰 路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01659752.jpg,,,,,,,,,, +,Lithocarpus gracilipes,"李渤生,程树志等",4094,19830415,西藏自治区,1800,常绿阔叶林常见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01815154.jpg,,,,,,,,,, +,Lithocarpus gracilipes,"李渤生,程树志等",4094,19830415,西藏,1800,常绿阔叶林常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815153.jpg,,,,,,,,,, +,Lithocarpus grandifolius,780工程,1025,19781213,云南省,1200,林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046032.jpg,,,,,,,,,, +,Lithocarpus grandifolius,,21976,19330216,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005089.jpg,,,,,,,,,, +硬壳柯,Lithocarpus hancei,780植被组,744,19781206,云南省,1900~2000,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046031.jpg,,,,,,,,,, +硬壳柯,Lithocarpus hancei,北京队,892933,19890521,广西壮族自治区,1500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01984513.jpg,,,,,,,,,, +,Lithocarpus hypoglaucus,邱炳云,54921,19570823,云南省,,山坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815014.jpg,,,,,,,,,, +,Lithocarpus hypoglaucus,"林业部,林型组",s.n.,19550000,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00236708.jpg,,,,,,,,,, +,Lithocarpus listeri,"李渤生,程树志",3971,19830408,西藏自治区,950,半常绿雨林中常见乔木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491443.jpg,,,,,,,,,, +,Lithocarpus litseifolius var. litseifolius,"刘成, 张挺, 亚吉东",17CS15955,20170908,海南,517,山坡林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445420.jpg,,,,,,,,,, +木姜叶柯,Lithocarpus litseifolius var. litseifolius,凌云普查队,4.51E+14,20131012,广西壮族自治区,795,阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI064506.jpg,,,,,,,,,, +木姜叶柯,Lithocarpus litseifolius var. litseifolius,侯玉美等,153,19790627,福建,1155,公路旁,乔木,无花有果,https://image.cvh.ac.cn/files/l/FJIDC/FJIDC001702.jpg,,,,,,,,,, +,Lithocarpus mairei,"Li Heng,Yang Shixiong,Lei Ligong etc.",1415,20030415,云南省,2640,次生灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090060.jpg,,,,,,,,,, +,Lithocarpus mairei,,s.n.,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01604963.jpg,,,,,,,,,, +墨脱椆,Lithocarpus obscurus,青藏队植被组,3018,19740902,西藏自治区,1100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01658525.jpg,,,,,,,,,, +墨脱椆,Lithocarpus obscurus,,s.n.,19810529,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491132.jpg,,,,,,,,,, +,Lithocarpus pachyphyllus,王洪,3972,20000415,云南省,1400,沟谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604946.jpg,,,,,,,,,, +,Lithocarpus pachyphyllus,"程树志,李渤生",1459,19821010,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491399.jpg,,,,,,,,,, +,Lithocarpus pakhaensis,毛品一,3859,19540417,云南省,1360,密林中,润湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/00237014.jpg,,,,,,,,,, +,Lithocarpus pakhaensis,Poilane,25065,19351211,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00022248.jpg,,,,,,,,,, +石柯,Lithocarpus pasania,李渤生、程树志,4035,1983-04-,西藏省,850,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0039225.jpg,,,,,,,,,, +石柯,Lithocarpus pasania,,,20100118,云南省,583,季雨林,,,https://image.cvh.ac.cn/files/l/KUN/1280071.jpg,,,,,,,,,, +石柯,Lithocarpus pasania,邱炳云,78-1349,19780506,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00366055.jpg,,,,,,,,,, +麻子柯,Lithocarpus variolosus,北京植物所横断山队,536,19810607,云南省,2500~2700,华山松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869940.jpg,,,,,,,,,, +麻子柯,Lithocarpus variolosus,西师生物系,11990,19660630,四川省,2650,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862145.jpg,,,,,,,,,, +麻子柯,Lithocarpus variolosus,金佛山考察队,1713,19860711,重庆市,2100,至金佛洞途中路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833552.jpg,,,,,,,,,, +西藏椆,Lithocarpus xizangensis,生态室高原组,11431,19800729,西藏自治区,1800,常绿林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043998.jpg,,,,,,,,,, +西藏椆,Lithocarpus xizangensis,"李渤生,程树志等",3671,19830520,西藏,1800~2100,常绿阔叶林中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01815159.jpg,,,,,,,,,, +田紫草,Lithospermum arvense,郭成勇,054089-1,20050502,山东省,150,田边路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111260.jpg,,,,,,,,,, +田紫草,Lithospermum arvense,"Park Soo-Hyun,Jung Su-Young,Jang Jin",P121413,20120604,,7,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110786.jpg,,,,,,,,,, +田紫草,Lithospermum arvense,老铁山采集队,173,20080504,辽宁省,,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913754.jpg,,,,,,,,,, +紫草,Lithospermum erythrorhizon,红水河植物考察队,1954,19890528,云南省,1500,石灰岩山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009586.jpg,,,,,,,,,, +紫草,Lithospermum erythrorhizon,巴山采集队,645,20080712,重庆市,1455,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850945.jpg,,,,,,,,,, +紫草,Lithospermum erythrorhizon,李书馨等,77,19590620,辽宁省,,山坡岩石旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648890.jpg,,,,,,,,,, +梓木草,Lithospermum zollingeri,赵振锯等,113347,19810624,四川省,2100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997674.jpg,,,,,,,,,, +梓木草,Lithospermum zollingeri,"Park,Soo-Hyun et al.",ParkSH100566,20100523,,26,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913832.jpg,,,,,,,,,, +梓木草,Lithospermum zollingeri,覃海宁等,18546,20050424,江西省,90,山脚林缘草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01861602.jpg,,,,,,,,,, +西工湖木姜子,Litsea albescens,孙航,周浙昆,俞宏渊,1184,19921111,西藏自治区,1500,under forest,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0106982.jpg,,,,,,,,,, +白叶木姜子,Litsea albescens,"刘成, 亚吉东",18CS17273,20181124,西藏,1648,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487468.jpg,,,,,,,,,, +假辣子,Litsea balansae,昆明工作站,5920,19550915,云南省,1400,山谷潮湿林中 润湿,,无花无果,https://image.cvh.ac.cn/files/l/PE/01522514.jpg,,,,,,,,,, +假辣子,Litsea balansae,"李渤生,程树志",4706,19830426,西藏自治区,2300,常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00699270.jpg,,,,,,,,,, +少花木姜子,Litsea biflora,生态高原组,11340,19800827,西藏自治区,1900,林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935600.jpg,,,,,,,,,, +树志木姜子,Litsea chengshuzhii,李勃生 程树志,5245,19830624,西藏自治区,1500,常绿阔叶林中常见,乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935602.jpg,,,,,,,,,, +金平木姜子,Litsea chinpingensis,昆明工作站,7345,19551117,云南省,1100~1200,疏林中 斜坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522515.jpg,,,,,,,,,, +金平木姜子,Litsea chinpingensis,"李渤生,程树志",4706,19830426,西藏自治区,2300,常绿林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/00434563.jpg,,,,,,,,,, +,Litsea chunii var. chunii,林芹,俞宏渊,孙航等,771717,19850604,云南省,0,山坡,沟边,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0107285.jpg,,,,,,,,,, +丽江木姜子,Litsea chunii var. likiangensis,张挺,蔡杰,刘成等,09CS1446,20090723,云南,3382,,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230776.jpg,,,,,,,,,, +丽江木姜子,Litsea chunii var. likiangensis,刘恩德,徐洲锋,3425,20111012,云南省,3240,"rocky area along the range, in bamboo forest",,无花有果,https://image.cvh.ac.cn/files/l/KUN/1254880.jpg,,,,,,,,,, +蓝叶木姜子,Litsea coelestis,"李渤生,程树志等",2551,19830115,西藏自治区,1530,江边 Altingia 林中常见乔木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522503.jpg,,,,,,,,,, +蓝叶木姜子,Litsea coelestis,青藏队,9358,19820815,云南省,1500,山坡 常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522499.jpg,,,,,,,,,, +山鸡椒,Litsea cubeba,PE西藏队,PE6020,20170906,西藏自治区,2935,山谷林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309695.jpg,,,,,,,,,, +山鸡椒,Litsea cubeba,张彩飞,2166,20091027,浙江省,497,山阴坡疏灌丛缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247470.jpg,,,,,,,,,, +山鸡椒,Litsea cubeba,中苏队,8028,19570420,云南省,1100,阳处路旁斜坡疏林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100164.jpg,,,,,,,,,, +黄丹木姜子,Litsea elongata,PE西藏队,PE6351,20170911,西藏自治区,3120,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309686.jpg,,,,,,,,,, +黄丹木姜子,Litsea elongata,Anonymous,6,197410,广西壮族自治区,1300,山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01994809.jpg,,,,,,,,,, +黄丹木姜子,Litsea elongata,"S.K.Wu,L.H.Liu,Y.M.Shui et al.",3990,19961016,云南省,2200,Under forest,,无花无果,https://image.cvh.ac.cn/files/l/PE/01868994.jpg,,,,,,,,,, +贡山木姜子,Litsea gongshanensis,,737,19750717,西藏自治区,2000,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/00699511.jpg,,,,,,,,,, +贡山木姜子,Litsea gongshanensis,青藏队植被组,4362,19750627,,1700~2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00046348.jpg,,,,,,,,,, +华南木姜子,Litsea greenmaniana,毛品一,2368,19530703,云南省,700,溪旁 密林中 潮湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/01522417.jpg,,,,,,,,,, +华南木姜子,Litsea greenmaniana,刘瑛光,426,19570613,广东省,,山地,山顶,路旁,普遍,,无花有果,https://image.cvh.ac.cn/files/l/PE/01520242.jpg,,,,,,,,,, +华南木姜子,Litsea greenmaniana,青藏队植被组,3162,19740908,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01505921.jpg,,,,,,,,,, +秃净木姜子,Litsea kingii,尹志坚,董洪进,向春雷,1665,20090723,云南省,3150,ravine B forest margins,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1220409.jpg,,,,,,,,,, +秃净木姜子,Litsea kingii,邓朝义,88236,19880521,贵州省,0,土山,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0109607.jpg,,,,,,,,,, +秃净木姜子,Litsea kingii,,949,19840624,湖南省,1450,山腰,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0109609.jpg,,,,,,,,,, +勃生木姜子,Litsea liboshengii,李勃生 程树志,1599,19821030,西藏自治区,2100,常绿阔叶林中常见,乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935624.jpg,,,,,,,,,, +长蕊木姜子,Litsea longistaminata,"S.K.Wu,Y.M.Shui et al.",374,19951030,云南省,1300~840,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01859963.jpg,,,,,,,,,, +长蕊木姜子,Litsea longistaminata,安顺队,1345,19590907,贵州省,1800,梁背密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01520285.jpg,,,,,,,,,, +长蕊木姜子,Litsea longistaminata,张志英,14949,19590913,甘肃省,800,山坡林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01520245.jpg,,,,,,,,,, +毛叶木姜子,Litsea mollis,"刘恩德,杨德才",198,20030810,云南省,2500,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026537.jpg,,,,,,,,,, +毛叶木姜子,Litsea mollis,巴山采集队,5362,20110711,四川省,1500,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872832.jpg,,,,,,,,,, +毛叶木姜子,Litsea mollis,罗仲春,196,19790728,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01814582.jpg,,,,,,,,,, +单花木姜子,Litsea monantha,罗仲春,158,19790724,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01814579.jpg,,,,,,,,,, +单花木姜子,Litsea monantha,青藏队,2048,19810701,云南省,3200~3400,沟谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01522492.jpg,,,,,,,,,, +单花木姜子,Litsea monantha,青藏队,75-1912,19750914,西藏自治区,2600,杂灌中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00935919.jpg,,,,,,,,,, +假柿木姜子,Litsea monopetala,Anonymous,s.n.,19731025,广西壮族自治区,400,砂石岩山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01994884.jpg,,,,,,,,,, +假柿木姜子,Litsea monopetala,Levine,s.n.,19170523,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01816385.jpg,,,,,,,,,, +宝兴木姜子,Litsea moupinensis,236任务组,268,19720802,四川省,1400,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01534782.jpg,,,,,,,,,, +宝兴木姜子,Litsea moupinensis,青藏队,9875,19820903,云南省,1900~2100,山坡 常绿落叶 阔叶林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522498.jpg,,,,,,,,,, +宝兴木姜子,Litsea moupinensis,毕节队,299,19590723,贵州省,1600,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01522143.jpg,,,,,,,,,, +杨叶木姜子,Litsea populifolia,赵清盛 师进斌等,117206,19830529,四川省,1250,林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02095961.jpg,,,,,,,,,, +杨叶木姜子,Litsea populifolia,"董洪进,王泽欢,尹志坚",WM-0294,20160503,云南省,1500,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090712.jpg,,,,,,,,,, +木姜子,Litsea pungens,马成功等,25,19810611,陕西省,1200,沟谷杂木林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02087147.jpg,,,,,,,,,, +木姜子,Litsea pungens,川黔队,1783,19561012,贵州省,,山坡 灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083235.jpg,,,,,,,,,, +木姜子,Litsea pungens,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",135,20130419,四川省,1396~1900,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021443.jpg,,,,,,,,,, +,Litsea rubescens var. rubescens,刘恩德等,3481,20120321,云南省,2490,forest margin,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922270.jpg,,,,,,,,,, +红叶木姜子,Litsea rubescens var. rubescens,蓝开敏,87-0094,19870609,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0018172.jpg,,,,,,,,,, +红叶木姜子(原变种),Litsea rubescens var. rubescens,宋鼎;刘敏;张桥蓉,LS111,20190330,贵州,1710,林下,小乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1550147.jpg,,,,,,,,,, +绢毛木姜子,Litsea sericea,赵清盛 师进斌等,117289,19830612,四川省,1200,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02095968.jpg,,,,,,,,,, +绢毛木姜子,Litsea sericea,"尹志坚,董洪进,向春雷",1581,20090722,云南省,3150,ravine“C”,forest margins,,无花有果,https://image.cvh.ac.cn/files/l/PE/02005723.jpg,,,,,,,,,, +绢毛木姜子,Litsea sericea,龙茹等,90807010,20090807,湖北省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02003736.jpg,,,,,,,,,, +独龙木姜子,Litsea taronensis,冯国楣,24309,19591117,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/106012.jpg,,,,,,,,,, +独龙木姜子,Litsea taronensis,"刘成, 亚吉东",18CS17196,20181116,西藏,2072,林缘,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1482770.jpg,,,,,,,,,, +西藏木姜子,Litsea tibetana,青藏队,74-1738,19740810,西藏自治区,1260,山坡灌丛中,藤本,无花有果,https://image.cvh.ac.cn/files/l/PE/00935650.jpg,,,,,,,,,, +西藏木姜子,Litsea tibetana,"刘成, 亚吉东",18CS17280,20181124,西藏,1659,常绿阔叶林下,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487482.jpg,,,,,,,,,, +伞花木姜子,Litsea umbellata,K.M.Feng,7650,19400908,云南省,2800~3000,沟边杂林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01522543.jpg,,,,,,,,,, +伞花木姜子,Litsea umbellata,陈少卿,13000,19570704,广西壮族自治区,330~410,丘陵水旁山谷密林肥土湿土,,无花无果,https://image.cvh.ac.cn/files/l/PE/00483587.jpg,,,,,,,,,, +钝叶木姜子,Litsea veitchiana,"川西队,关克俭,王文采等",2041,19630828,四川省,2450,阴坡山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091725.jpg,,,,,,,,,, +钝叶木姜子,Litsea veitchiana,罗仲春,165,19790726,湖南省,1700,混交林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01814590.jpg,,,,,,,,,, +钝叶木姜子,Litsea veitchiana,中越考察队,1621,19650118,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01695177.jpg,,,,,,,,,, +,Littledalea przevalskyi,PE西藏考察队,7701,20180623,西藏自治区,4438,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333051.jpg,,,,,,,,,, +,Littledalea przevalskyi,郭柯,k-41,19900619,青海省,4860,高寒草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048999.jpg,,,,,,,,,, +,Littledalea przevalskyi,李渤生等,13142,19900817,,4500~4600,高山Kobresia草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01897488.jpg,,,,,,,,,, +扇穗茅,Littledalea racemosa,,521,19640719,青海省,4300,那龙多山岩石露头边缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082860.jpg,,,,,,,,,, +扇穗茅,Littledalea racemosa,方文培,4096,19280809,四川省,,at grassy slope,herb,有花有果,https://image.cvh.ac.cn/files/l/PE/00039397.jpg,,,,,,,,,, +扇穗茅,Littledalea racemosa,青藏队植物所,9946,19760901,西藏自治区,4700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00037202.jpg,,,,,,,,,, +藏扇穗茅,Littledalea tibetica,河西队,56,19670803,甘肃省,2700,干山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00572217.jpg,,,,,,,,,, +藏扇穗茅,Littledalea tibetica,"姜恕,郑度",90,19670910,西藏自治区,5700,阴坡砂砾地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00037221.jpg,,,,,,,,,, +藏扇穗茅,Littledalea tibetica,"姜恕,郑度",49650,19541227,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00037222.jpg,,,,,,,,,, +黄洼瓣花,Lloydia delavayi,杨竞生,91-203,19910530,四川省,,东南郊神山北坡灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01945834.jpg,,,,,,,,,, +黄洼瓣花,Lloydia delavayi,,92,18830000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00330562.jpg,,,,,,,,,, +黄洼瓣花,Lloydia delavayi,George Forrest,30034,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00036015.jpg,,,,,,,,,, +平滑洼瓣花,Lloydia flavonutans,张经炜,2457,19610522,西藏自治区,4000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532513.jpg,,,,,,,,,, +平滑洼瓣花,Lloydia flavonutans,青藏队,8471,19820724,云南省,3700,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01146014.jpg,,,,,,,,,, +紫斑洼瓣花,Lloydia ixiolirioides,PE西藏考察队,7656,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332621.jpg,,,,,,,,,, +紫斑洼瓣花,Lloydia ixiolirioides,青藏队植被组,8296,19760608,云南省,4250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532510.jpg,,,,,,,,,, +尖果洼瓣花,Lloydia oxycarpa,汤宗孝,353,19820713,四川省,4450,山坡 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01595943.jpg,,,,,,,,,, +尖果洼瓣花,Lloydia oxycarpa,西藏队植被组,4880,19750630,西藏自治区,3500,石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532530.jpg,,,,,,,,,, +尖果洼瓣花,Lloydia oxycarpa,青藏队植被组,8361,19760609,云南省,4250,小叶杜鹃灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532506.jpg,,,,,,,,,, +小洼瓣花,Lloydia serotina var. parva,汤宗孝,425,19820717,四川省,3250,山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01595933.jpg,,,,,,,,,, +小洼瓣花,Lloydia serotina var. parva,生态室高原组,10506,19800616,西藏自治区,4100,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376478.jpg,,,,,,,,,, +小洼瓣花,Lloydia serotina var. parva,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00036042.jpg,,,,,,,,,, +西藏洼瓣花,Lloydia tibetica,PE西藏考察队,7357,20180616,西藏自治区,4392,高山草甸、灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332438.jpg,,,,,,,,,, +西藏洼瓣花,Lloydia tibetica,白水江考察队,521,20060627,甘肃省,3300,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823351.jpg,,,,,,,,,, +西藏洼瓣花,Lloydia tibetica,汤宗孝,1102,19830616,四川省,4050,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01595934.jpg,,,,,,,,,, +云南洼瓣花,Lloydia yunnanensis,北京所横断山队,726,19810622,云南省,2400~3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01479644.jpg,,,,,,,,,, +云南洼瓣花,Lloydia yunnanensis,陈伟烈等,7106,19840701,四川省,3700,阴坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377712.jpg,,,,,,,,,, +短柄半边莲,Lobelia alsinoides,深圳考察队,1788,19971002,广东省,100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01401479.jpg,,,,,,,,,, +短柄半边莲,Lobelia alsinoides,Kai Larsen & Supee S.Larsen,34131,19740509,,600~700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01372350.jpg,,,,,,,,,, +短柄半边莲,Lobelia alsinoides,"Lei,C.I.",773,19330622,海南省,,"Fairly common;moist level land,sandy soil,meadow,cult.field",,有花无果,https://image.cvh.ac.cn/files/l/PE/01277256.jpg,,,,,,,,,, +狭叶山梗菜,Lobelia colorata,K.M.Feng,10265,19460906,云南省,,moist meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01277407.jpg,,,,,,,,,, +狭叶山梗菜,Lobelia colorata,B.Bartholomew et al.,20,19860819,贵州省,560,Perennial herb along river,,有花无果,https://image.cvh.ac.cn/files/l/PE/01264323.jpg,,,,,,,,,, +狭叶山梗菜,Lobelia colorata,熊济华,周子林,92231,19570724,四川省,2050,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0533895.jpg,,,,,,,,,, +微齿山梗菜,Lobelia doniana,S.K.WU et al.,2056,19951024,云南省,1900~2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057023.jpg,,,,,,,,,, +微齿山梗菜,Lobelia doniana,FLPH Tibet Expedition,12-1305,20120915,西藏自治区,1500,山谷林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01966852.jpg,,,,,,,,,, +微齿山梗菜,Lobelia doniana,Pi-Fong Lu,19155,20091114,台湾省,1400~1700,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885101.jpg,,,,,,,,,, +直立山梗菜,Lobelia erectiuscula,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1911,20130823,西藏自治区,3766,林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992205.jpg,,,,,,,,,, +马波罗,Lobelia erectiuscula,H.Kanai etc.,723178,19750803,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0305310.jpg,,,,,,,,,, +马波罗,Lobelia erectiuscula,H.Ohba etc.,120373,19910811,Topke Gola,0,,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0305311.jpg,,,,,,,,,, +,Lobelia montana,"Jin Xh,Wang LS,Wang Q et al.",ST0870,20130723,云南省,,mountain slope shade,,有花无果,https://image.cvh.ac.cn/files/l/PE/01978146.jpg,,,,,,,,,, +,Lobelia montana,中越考察队,298,19641210,,1240~1995,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01277603.jpg,,,,,,,,,, +,Lobelia nummularia,巴山采集队,6088,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059291.jpg,,,,,,,,,, +,Lobelia nummularia,赵常明,EX1826,20080812,湖北省,1650,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020755.jpg,,,,,,,,,, +,Lobelia nummularia,王洁如,2601,19930501,云南省,1100,轮歇地边,阴湿,,,https://image.cvh.ac.cn/files/l/KUN/1291238.jpg,,,,,,,,,, +毛萼山梗菜,Lobelia pleotricha,"洪德元,马欣堂,王强",H12008,20120803,西藏自治区,2200,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056768.jpg,,,,,,,,,, +毛萼山梗菜,Lobelia pleotricha,青藏队,9880,19820903,云南省,1900~2100,山坡路边灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803234.jpg,,,,,,,,,, +塔花山梗菜,Lobelia pyramidalis,中苏队,9123,19570329,云南省,,阳处路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079536.jpg,,,,,,,,,, +塔花山梗菜,Lobelia pyramidalis,覃海宁等,37504,20020424,广西壮族自治区,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056388.jpg,,,,,,,,,, +塔花山梗菜,Lobelia pyramidalis,赵常明,EX2238,20080929,湖北省,750,农田旁,阔叶林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056345.jpg,,,,,,,,,, +西南山梗菜,Lobelia sequinii,华南队,2004,19890928,广西壮族自治区,1200,山地、山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/02020897.jpg,,,,,,,,,, +西南山梗菜,Lobelia sequinii,谭世鑫,119,20041023,贵州省,980,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917491.jpg,,,,,,,,,, +西南山梗菜,Lobelia sequinii,青藏队,14271,19830925,四川省,2600,云南松林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803236.jpg,,,,,,,,,, +山梗菜,Lobelia sessilifolia,"马丹丹,夏国华",ZJFC150,20070925,浙江省,1620,山顶沼泽地中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056991.jpg,,,,,,,,,, +山梗菜,Lobelia sessilifolia,山东队,82,19561002,山东省,,半阳坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056990.jpg,,,,,,,,,, +山梗菜,Lobelia sessilifolia,广西调查队,3911,19531010,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020907.jpg,,,,,,,,,, +欧毒麦,Lolium persicum,何廷农,525,19890713,青海省,1900,滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00037252.jpg,,,,,,,,,, +欧毒麦,Lolium persicum,何叶祺,3247,19590623,甘肃省,1450,植壮,,有花无果,https://image.cvh.ac.cn/files/l/PE/00037245.jpg,,,,,,,,,, +欧毒麦,Lolium persicum,新疆综合考察队,8908,19580926,新疆维吾尔自治区,2080,田边沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00037251.jpg,,,,,,,,,, +毒麦,Lolium temulentum,郭成勇,1503073-1,20040530,山东省,50,路旁草丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01787070.jpg,,,,,,,,,, +毒麦,Lolium temulentum,,s.n.,19350600,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01779607.jpg,,,,,,,,,, +毒麦,Lolium temulentum,牧草组,207,19580629,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01608836.jpg,,,,,,,,,, +辐花,Lomatogoniopsis alpina,D.E.Boufford et al.,36651,20060816,四川省,4475,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885778.jpg,,,,,,,,,, +辐花,Lomatogoniopsis alpina,青藏科考队,12973,19760901,西藏自治区,4000,云杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01764805.jpg,,,,,,,,,, +辐花,Lomatogoniopsis alpina,T.N.Ho B.Bartholomew M.Watson et al,2249,19960821,青海省,3950,growing inmeadow along valley bottom,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440346.jpg,,,,,,,,,, +盔形辐花,Lomatogoniopsis galeiformis,"郭柯,郑度",12409,19880813,新疆维吾尔自治区,4750,湖缘河谷地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01468520.jpg,,,,,,,,,, +盔形辐花,Lomatogoniopsis galeiformis,青藏队,74-2743,19741002,西藏自治区,4260,沼泽化草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440566.jpg,,,,,,,,,, +盔形辐花,Lomatogoniopsis galeiformis,尹鑫、吴航、葛文静,LiuJQ-GN-2011-018,20111021,甘肃省,2965,亚高山草甸坡地,直立草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00003668.jpg,,,,,,,,,, +卵叶辐花,Lomatogoniopsis ovatifolia,青藏队补点组,751981,19750910,西藏自治区,4200,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440685.jpg,,,,,,,,,, +短药肋柱花,Lomatogonium brachyantherum,T.N.Ho B.Bartholomew.M.Waton et al,2849,19960903,青海省,4500,grwoing in alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440327.jpg,,,,,,,,,, +短药肋柱花,Lomatogonium brachyantherum,郎楷永,10253,19760913,西藏自治区,5100,下关口雪山北坡河滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440415.jpg,,,,,,,,,, +短药肋柱花,Lomatogonium brachyantherum,N.Kurosaki,8572124,19850431,Shemma,0,in grassyplace on sandy ground.,,有花无果,https://image.cvh.ac.cn/files/l/KUN/554148.jpg,,,,,,,,,, +肋柱花,Lomatogonium carinthiacum,"H.Li,S.X.Yang,R.Li etc.",1086,20021110,云南省,2570,林(中)下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110910.jpg,,,,,,,,,, +肋柱花,Lomatogonium carinthiacum,,785,19640826,青海省,4000,河谷阳坡草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083110.jpg,,,,,,,,,, +肋柱花,Lomatogonium carinthiacum,"张新时,郭柯",天山-584,19860815,新疆维吾尔自治区,2725,山坡 高山草甸 T076,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080840.jpg,,,,,,,,,, +亚东肋柱花,Lomatogonium chumbicum,PE西藏队,PE6609,20170914,西藏自治区,3934,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333644.jpg,,,,,,,,,, +亚东肋柱花,Lomatogonium chumbicum,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201713,20200812,西藏,4937,湖边沙地,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508430.jpg,,,,,,,,,, +云贵肋柱花,Lomatogonium forrestii var. bonatianum,"H.Li,S.X.Yang,R.Li etc.",891,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091204.jpg,,,,,,,,,, +云贵肋柱花,Lomatogonium forrestii var. bonatianum,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440565.jpg,,,,,,,,,, +,Lomatogonium forrestii var. forrestii,"张桥蓉, 亚吉东",15CS11563,20151208,云南,2128,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1457300.jpg,,,,,,,,,, +合萼肋柱花,Lomatogonium gamosepalum,,785,19640826,青海省,4000,河谷阳坡草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490053.jpg,,,,,,,,,, +合萼肋柱花,Lomatogonium gamosepalum,西藏队植被组,6134,19750913,西藏自治区,4200,阴坡 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485866.jpg,,,,,,,,,, +长叶肋柱花,Lomatogonium longifolium,"李渤生,倪志诚,程树志",7312,19830903,西藏自治区,4400~4600,山坡灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440625.jpg,,,,,,,,,, +长叶肋柱花,Lomatogonium longifolium,T.T.Yu,23188,19381001,云南省,3800,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440621.jpg,,,,,,,,,, +大花肋柱花,Lomatogonium macranthum,青藏队,4043,19810812,四川省,3450,山沟内灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02103215.jpg,,,,,,,,,, +大花肋柱花,Lomatogonium macranthum,,810,19640903,青海省,4000,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083109.jpg,,,,,,,,,, +大花肋柱花,Lomatogonium macranthum,泛喜马拉雅植物志巴基斯坦采集队,FPH-1327,20120908,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004622.jpg,,,,,,,,,, +圆叶肋柱花,Lomatogonium oreocharis,PE西藏队,PE5951,20170905,西藏自治区,4780,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330710.jpg,,,,,,,,,, +圆叶肋柱花,Lomatogonium oreocharis,G.Forrest,6688,19100900,云南省,4333~4666,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440684.jpg,,,,,,,,,, +圆叶肋柱花,Lomatogonium oreocharis,G.Forrest,6685,19100900,云南省 ,3965,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0532375.jpg,,,,,,,,,, +宿根肋柱花,Lomatogonium perenne,泛喜马拉雅植物志巴基斯坦采集队,FPH-1395,20120909,新疆维吾尔自治区,,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004631.jpg,,,,,,,,,, +宿根肋柱花,Lomatogonium perenne,D.E.Boufford et al.,37399,20060827,四川省,4605,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885780.jpg,,,,,,,,,, +宿根肋柱花,Lomatogonium perenne,崔友文,5441,19510822,西藏自治区,4000,高山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440719.jpg,,,,,,,,,, +密序肋柱花,Lomatogonium rotatum var. floribundum,俞德浚,14774,19371114,四川省,2900,margin of forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/830384.jpg,,,,,,,,,, +密序肋柱花,Lomatogonium rotatum var. floribundum,黄河调查队,3569,19560907,甘肃省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/554284.jpg,,,,,,,,,, +辐状肋柱花(原变种),Lomatogonium rotatum var. rotatum,张重岭,150782180908601LY,20180908,内蒙古,657.8,草甸,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IATM/IATM0001284.jpg,,,,,,,,,, +锡金肋柱花,Lomatogonium sikkimense,青藏队,74-2516,19740914,西藏自治区,4000,山坡草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440808.jpg,,,,,,,,,, +垂花肋柱花,Lomatogonium stapfii,,1286,19940925,云南省,4675,South side of road,,有花无果,https://image.cvh.ac.cn/files/l/PE/01476692.jpg,,,,,,,,,, +垂花肋柱花,Lomatogonium stapfii,青藏队补点组,751518,19750825,西藏自治区,4500,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440812.jpg,,,,,,,,,, +淡红忍冬,Lonicera acuminata,PE西藏队,PE6825,20170917,西藏自治区,3971,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333071.jpg,,,,,,,,,, +淡红忍冬,Lonicera acuminata,刘淼等,A30055,20050528,河南省,400,生于林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235960.jpg,,,,,,,,,, +淡红忍冬,Lonicera acuminata,陈添财等,12542,20031024,台湾省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02235807.jpg,,,,,,,,,, +狭叶忍冬,Lonicera angustifolia,PE西藏考察队,7109,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333261.jpg,,,,,,,,,, +狭叶忍冬,Lonicera angustifolia,H.Ohashi H.Kanai H.Ohba et al.,770930,19770809,,3600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01213106.jpg,,,,,,,,,, +狭叶忍冬,Lonicera angustifolia,G.Forrest,10054,19130000,云南省,3333~3666,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01213105.jpg,,,,,,,,,, +,Lonicera angustifolia var. myrtillus,PE西藏考察队,7210,20180612,西藏自治区,4539,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333305.jpg,,,,,,,,,, +,Lonicera angustifolia var. myrtillus,谭少林,YLDP108A,20140509,云南,,无,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452144.jpg,,,,,,,,,, +越桔叶忍冬,Lonicera angustifolia var. myrtillus,魏来 何毅,BNUXZ2016166,20160718,西藏,4100,,,,https://image.cvh.ac.cn/files/l/BNU/0027935.jpg,,,,,,,,,, +西南忍冬,Lonicera bournei,中苏云南联合考察团,9105,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01213140.jpg,,,,,,,,,, +西南忍冬,Lonicera bournei,T.N.Liou,18496,19410406,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0500079.jpg,,,,,,,,,, +蓝果忍冬,Lonicera caerulea,,160,19830614,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081617.jpg,,,,,,,,,, +蓝果忍冬,Lonicera caerulea,A.G.Kuklina,,19830709,,,hillside clearance in the fir forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069176.jpg,,,,,,,,,, +蓝果忍冬,Lonicera caerulea,PE-NIBR Changbaishan Exped.,229-5,20140610,吉林省,1688,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036021.jpg,,,,,,,,,, +长距忍冬,Lonicera calcarata,"李渤生,程树志",5226,19830624,西藏自治区,1200,半常绿雨林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01446903.jpg,,,,,,,,,, +长距忍冬,Lonicera calcarata,Lau S.K.,104,19320616,海南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01213435.jpg,,,,,,,,,, +长距忍冬,Lonicera calcarata,华南队,941,19890522,广西壮族自治区,1200,山地山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01213429.jpg,,,,,,,,,, +金花忍冬,Lonicera chrysantha,张力,T935002,19930510,陕西省,1400,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235966.jpg,,,,,,,,,, +金花忍冬,Lonicera chrysantha,Debreczy-Racz-Biro,5025,19830000,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02101732.jpg,,,,,,,,,, +金花忍冬,Lonicera chrysantha,内蒙队,441,19630826,内蒙古自治区,,山地石质阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094474.jpg,,,,,,,,,, +须蕊忍冬,Lonicera chrysantha var. koehneana,高信芬、余奇、郑臣臣、黎怀诚,THP-KD-0821,20170608,四川省,2508,升航村,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253426.jpg,,,,,,,,,, +须蕊忍冬,Lonicera chrysantha var. koehneana,高信芬、余奇、郑臣臣、黎怀诚,THP-KD-0821,20170608,四川,2508,,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253425.jpg,,,,,,,,,, +须蕊忍冬,Lonicera chrysantha var. koehneana,侯学良、欣玮玮、张若鹏,539,20160816,河南省,,,灌木。,无花有果,https://image.cvh.ac.cn/files/l/AU/AU064756.jpg,,,,,,,,,, +微毛忍冬,Lonicera cyanocarpa,PE西藏考察队,7316,20180615,西藏自治区,4154~4259,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333308.jpg,,,,,,,,,, +微毛忍冬,Lonicera cyanocarpa,,W-20,19810818,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01447073.jpg,,,,,,,,,, +,Lonicera ferdinandi,王崇书等,4208,19590901,辽宁省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00020143.jpg,,,,,,,,,, +,Lonicera ferdinandi,J.F.Rock,13519,192510,甘肃省,,,Shrub,有花无果,https://image.cvh.ac.cn/files/l/AU/AU049461.jpg,,,,,,,,,, +,Lonicera ferdinandi,H.H.Chung,,19170712,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU049477.jpg,,,,,,,,,, +,Lonicera harmsii,"高连明,吴丁",GLM-07719,20070524,四川省,2410,in mixed forest,,,https://image.cvh.ac.cn/files/l/KUN/1273059.jpg,,,,,,,,,, +叶藏花,Lonicera harmsii,,11731,19350621,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00031395.jpg,,,,,,,,,, +,Lonicera harmsii,G. Giraldi,7198,1900/7/10,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00056602.jpg,,,,,,,,,, +刚毛忍冬,Lonicera hispida,PE西藏考察队,7406,20180616,西藏自治区,3635,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333208.jpg,,,,,,,,,, +刚毛忍冬,Lonicera hispida,,3,19640605,青海省,4020,山谷阴坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082754.jpg,,,,,,,,,, +刚毛忍冬,Lonicera hispida,李才贵,78,19840625,山西省,2300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081609.jpg,,,,,,,,,, +矮小忍冬,Lonicera humilis,李渤生,10478,19870709,新疆维吾尔自治区,3500~3900,山坡 沟石中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468602.jpg,,,,,,,,,, +矮小忍冬,Lonicera humilis,"亚吉东, 张桥蓉, 胡枭剑",16CS12855,20160530,新疆,1876,林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1455328.jpg,,,,,,,,,, +白背忍冬,Lonicera hypoleuca,红水河植物考察队,1224,19890516,广西壮族自治区,700,河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01251241.jpg,,,,,,,,,, +白背忍冬,Lonicera hypoleuca,胡启明,1203,,江西省,250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01251039.jpg,,,,,,,,,, +白背忍冬,Lonicera hypoleuca,夏礼,L8515-057,19870623,浙江省,37,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01251034.jpg,,,,,,,,,, +甘肃忍冬,Lonicera kansuensis,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",90,20130418,四川省,1343,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021246.jpg,,,,,,,,,, +甘肃忍冬,Lonicera kansuensis,白龙江考察队,276,19980718,甘肃省,2200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01560502.jpg,,,,,,,,,, +女贞叶忍冬,Lonicera ligustrina,"川西队,关克俭,王文采等",3501,19630917,四川省,850,河套边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091639.jpg,,,,,,,,,, +女贞叶忍冬,Lonicera ligustrina,"董洪进,赵飞",WM-0532,20160519,云南省,1700,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090954.jpg,,,,,,,,,, +女贞叶忍冬,Lonicera ligustrina,覃海宁等,18416,20041210,陕西省,1100,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01802764.jpg,,,,,,,,,, +理塘忍冬,Lonicera litangensis,PE西藏考察队,7061,20180609,西藏自治区,4569,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333297.jpg,,,,,,,,,, +理塘忍冬,Lonicera litangensis,K.L.Chu,7038,19400602,四川省,4000,On rocky beach,,有花无果,https://image.cvh.ac.cn/files/l/PE/01285530.jpg,,,,,,,,,, +金银忍冬,Lonicera maackii,PE西藏考察队,7805,20180625,西藏自治区,2627,林缘灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333217.jpg,,,,,,,,,, +金银忍冬,Lonicera maackii,M.Nee,61703,20141021,,109,brushy disturbed woodland along new dry creek bed in the Mississippi River valley but not within active floodplain,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110616.jpg,,,,,,,,,, +金银忍冬,Lonicera maackii,张志耘等,2015-303,20150613,北京市,90,roadside cult,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064624.jpg,,,,,,,,,, +大花忍冬,Lonicera macrantha,董保华,63,19610707,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01828860.jpg,,,,,,,,,, +大花忍冬,Lonicera macrantha,湘西调查队,195,19530723,湖南省,,溪旁 山谷 灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01582678.jpg,,,,,,,,,, +大花忍冬,Lonicera macrantha,,H(9),,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01446923.jpg,,,,,,,,,, +小叶忍冬,Lonicera microphylla,黄河队,1086,19570629,山西省,2100,山谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075749.jpg,,,,,,,,,, +小叶忍冬,Lonicera microphylla,L.Ivanina L.Sergienko L.Averyanov O.Zakharieva,48,19780614,,2350,Kirghizstan,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055604.jpg,,,,,,,,,, +小叶忍冬,Lonicera microphylla,,1223,,青海省,,沟谷石砾红色土灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02041820.jpg,,,,,,,,,, +红脉忍冬,Lonicera nervosa,钟补求,6027,19530729,西藏自治区,,桦林中灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069262.jpg,,,,,,,,,, +红脉忍冬,Lonicera nervosa,"杨红梅,郎校安,邵毅贞等",1422,20140420,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021168.jpg,,,,,,,,,, +红脉忍冬,Lonicera nervosa,采种队,241,19560908,陕西省,,山顶上 阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01827690.jpg,,,,,,,,,, +黑果忍冬,Lonicera nigra,PE西藏队,PE6890,20170917,西藏自治区,3971,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333069.jpg,,,,,,,,,, +黑果忍冬,Lonicera nigra,"Drescher,A.",5584,20000512,,700~830,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022692.jpg,,,,,,,,,, +,Lonicera reticulata,谭策铭,94965,19940918,江西省,180,马尾松林下灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01774730.jpg,,,,,,,,,, +左转藤,Lonicera reticulata,黄成,164478,19580629,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00263079.jpg,,,,,,,,,, +凹叶忍冬,Lonicera retusa,白龙江考察队,649,19980723,甘肃省,1540,山地 山坡 灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01560507.jpg,,,,,,,,,, +凹叶忍冬,Lonicera retusa,W.Y.Hsia,4214,19380530,陕西省,,On hill slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01307647.jpg,,,,,,,,,, +凹叶忍冬,Lonicera retusa,黄河队,387,19570530,山西省,1100,山坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01307641.jpg,,,,,,,,,, +岩生忍冬,Lonicera rupicola,D.E.Boufford et al.,38236,20070726,四川省,2903,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01916550.jpg,,,,,,,,,, +岩生忍冬,Lonicera rupicola,D.E.Boufford et al.,39339,20070809,青海省,3720,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01916532.jpg,,,,,,,,,, +岩生忍冬,Lonicera rupicola,孙学刚等,2083,20000803,甘肃省,2810~2833,沟谷灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01798572.jpg,,,,,,,,,, +红花岩生忍冬,Lonicera rupicola var. syringantha,罗建等,LuoJian-XZ-0904,20090610,西藏自治区,4267,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916450.jpg,,,,,,,,,, +红花岩生忍冬,Lonicera rupicola var. syringantha,D.E.Boufford et al.,38191,20070725,四川省,3680,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916552.jpg,,,,,,,,,, +红花岩生忍冬,Lonicera rupicola var. syringantha,白龙江考察队,1536,19990531,甘肃省,2450,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556324.jpg,,,,,,,,,, +,Lonicera scabrida,J. M. Delavay,,1880-2-23,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00049914.jpg,,,,,,,,,, +藏西忍冬,Lonicera semenovii,张新时等,天山-619,19860816,新疆维吾尔自治区,3000,山坡灌丛草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805915.jpg,,,,,,,,,, +藏西忍冬,Lonicera semenovii,青藏队,870235,19870626,新疆,3300,砾石山坡岩石下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/119229.jpg,,,,,,,,,, +齿叶忍冬,Lonicera setifera,780植被组,738,19781206,云南省,1900,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804173.jpg,,,,,,,,,, +齿叶忍冬,Lonicera setifera,川经植,5782,19590823,四川省,1500,阳处灌木丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01774733.jpg,,,,,,,,,, +齿叶忍冬,Lonicera setifera,生态室高原组,14896,19800903,西藏自治区,3100~3200,云杉林下常见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01446952.jpg,,,,,,,,,, +杈枝忍冬,Lonicera simulatrix,吕绍菊,31,20170514,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0007043.jpg,,,,,,,,,, +杈枝忍冬,Lonicera simulatrix,塔里木大学资源调查组,TD-01360,20070730,新疆,2284米,高山草甸,灌木,无花有果,https://image.cvh.ac.cn/files/l/TARU/TARU00235.jpg,,,,,,,,,, +棘枝忍冬,Lonicera spinosa,PE西藏考察队,7548,20180619,西藏自治区,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333295.jpg,,,,,,,,,, +唐古特忍冬,Lonicera tangutica,PE西藏考察队,7599,20180621,西藏自治区,3796~4100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333299.jpg,,,,,,,,,, +唐古特忍冬,Lonicera tangutica,"Q.Wang,K.Yao",9045,19990600,四川省,2400,山坡林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115542.jpg,,,,,,,,,, +唐古特忍冬,Lonicera tangutica,C.W.Wang,68189,19350800,云南省,3300,mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091409.jpg,,,,,,,,,, +,Lonicera thibetica,北京所横断山队,4067,19830610,四川省,4200,高山杜鹃灌丛内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040191.jpg,,,,,,,,,, +,Lonicera thibetica,"唐宇丹,林秦文",2010-006,20100912,西藏自治区,4087,南北偏东向河谷、半荫坡、沙石含少量,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037182.jpg,,,,,,,,,, +,Lonicera thibetica,H.Hara et al.,11468,19670519,,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916521.jpg,,,,,,,,,, +毛冠忍冬,Lonicera tomentella,PE西藏考察队,7214,20180612,西藏自治区,4539,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333258.jpg,,,,,,,,,, +毛冠忍冬,Lonicera tomentella,"田效文,汤宗孝,张正华",855,19810812,云南省,3020,公路旁石质山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01774740.jpg,,,,,,,,,, +察瓦龙忍冬,Lonicera tomentella var. tsarongensis,,2738,19740920,西藏自治区,3800,高山灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01647846.jpg,,,,,,,,,, +察瓦龙忍冬,Lonicera tomentella var. tsarongensis,王启无,67091,19351000,云南省,2000,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01326565.jpg,,,,,,,,,, +察瓦龙忍冬,Lonicera tomentella var. tsarongensis,俞德浚,20756,19381018,云南,3000,among thickets side of mt.stream,,有果无花,https://image.cvh.ac.cn/files/l/KUN/735097.jpg,,,,,,,,,, +华西忍冬,Lonicera webbiana,PE西藏考察队,7850,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333249.jpg,,,,,,,,,, +华西忍冬,Lonicera webbiana,蒲训,101,19810713,甘肃省,2700,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02235802.jpg,,,,,,,,,, +华西忍冬,Lonicera webbiana,"M.Mikage,N.Fujii,T.Kajita etc.",9455310,19940816,,3090~3360,in Pinus Juniperus woodland,,有花有果,https://image.cvh.ac.cn/files/l/PE/02039951.jpg,,,,,,,,,, +乌恰扭藿香,Lophanthus subnivalis,,73-184,72.06.28,新疆维吾尔自治区 ,2900,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00032547.jpg,,,,,,,,,, +乌恰扭藿香,Lophanthus subnivalis,,73-184,720628,,2900,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20003449.jpg,,,,,,,,,, +西藏扭藿香,Lophanthus tibeticus,PE西藏考察队,7731,20180624,西藏自治区,3902,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332183.jpg,,,,,,,,,, +周树桑寄生,Loranthus delavayi,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T273,20160917,西藏自治区,1594,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233331.jpg,,,,,,,,,, +周树桑寄生,Loranthus delavayi,红水河植物考察队,677,19890501,广西壮族自治区,,石灰岩山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985629.jpg,,,,,,,,,, +周树桑寄生,Loranthus delavayi,Ming-Jer Jung,2091,20071221,台湾省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900508.jpg,,,,,,,,,, +吉隆桑寄生,Loranthus lambertianus,"李渤生,程树志等",4327,19830426,西藏自治区,1600,常绿阔叶林树上附生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491281.jpg,,,,,,,,,, +女贞寄生,Loranthus ligustrinus,姚,韩,郑,3434,19900821,西藏自治区,1150,阔叶林,寄生,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00003994.jpg,,,,,,,,,, +,Loranthus ligustrinus,林来官,1376,19460512,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/005539.jpg,,,,,,,,,, +迷木,Loropetalum chinense,张彩飞,2674,20110601,湖南省,200~300,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247371.jpg,,,,,,,,,, +迷木,Loropetalum chinense,川黔队,2309,19561030,贵州省,1180,阳,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083588.jpg,,,,,,,,,, +迷木,Loropetalum chinense,川黔队,69,19560421,重庆市,800,山地山坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083586.jpg,,,,,,,,,, +,Lotus corniculatus var. corniculatus,T. Matsumoto et al. (松本忠博 他7名),FOK-056072,20030607,高知县,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0115741.jpg,,,,,,,,,, +百脉根,Lotus corniculatus var. corniculatus,弥渡普查队,5329250836,20120725,云南省,2500,,草本,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0010188.jpg,,,,,,,,,, +,Lotus corniculatus var. japonicus,T.Naito et al. ,50630,19860425,四川省,,on sunny ground at roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803445.jpg,,,,,,,,,, +,Lotus corniculatus var. japonicus,K.Kondo,7056,19270416,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597676.jpg,,,,,,,,,, +紫花苣苔,Loxostigma griffithii,刘方谱,LFP2016027,20160726,云南省,938,公路边潮湿石壁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02106036.jpg,,,,,,,,,, +澜沧紫花苣苔,Loxostigma mekongense,陶国达,19931,19781012,云南省,,林下潮湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670178.jpg,,,,,,,,,, +,Loxostigma mekongense,"d'Orleans, Henri",s.n.,July 1895,,,,,,https://image.cvh.ac.cn/files/l/E/E00087529.jpg,,,,,,,,,, +馥郁滇丁香,Luculia gratissima,青藏队,7059,19820607,云南省,1700,山坡常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02113512.jpg,,,,,,,,,, +馥郁滇丁香,Luculia gratissima,,2677,19740917,西藏自治区,1700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01775751.jpg,,,,,,,,,, +,Luculia pinceana var. pinceana,"赵金超, 杨红强",CYNGH276,20120626,云南,1893,中山季风常绿阔叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1450532.jpg,,,,,,,,,, +滇丁香,Luculia pinceana var. pinceana,凌云普查队,4.51E+14,20130816,广西壮族自治区,1192,阔叶林,林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI055863.jpg,,,,,,,,,, +毛滇丁香,Luculia pinceana var. pubescens,张肇骞,14482,19581217,广西壮族自治区,810,山坡,灌丛,瘠土,普遍,草本直立,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00383314.jpg,,,,,,,,,, +毛滇丁香,Luculia pinceana var. pubescens,南丹普查队,451221170810048LY,20170810,广西,917.9,灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0200284.jpg,,,,,,,,,, +毛滇丁香,Luculia pinceana var. pubescens,方震东、和光,XZ-438,20070929,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002636.jpg,,,,,,,,,, +鸡冠滇丁香,Luculia yunnanensis,Jin XH et al,ST0139,20130716,云南省,1700~2100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02022721.jpg,,,,,,,,,, +鸡冠滇丁香,Luculia yunnanensis,H.T.Tsai,58474,19340911,云南省 ,3200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0445602.jpg,,,,,,,,,, +假柳叶菜,Ludwigia epilobioides,PE-古蔺考察队,790,20100907,四川省,1070~977,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01864579.jpg,,,,,,,,,, +假柳叶菜,Ludwigia epilobioides,"朱,刘",334,20020920,浙江省,,河岸边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01597455.jpg,,,,,,,,,, +假柳叶菜,Ludwigia epilobioides,谭策铭,99556,19991158,广东省,200,村旁路边草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01584825.jpg,,,,,,,,,, +,Luisia ramosii,中植联广西队,1294,20080527,广西壮族自治区,260,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02033340.jpg,,,,,,,,,, +,Luisia ramosii,"李渤生,程树志",1714,19821106,西藏自治区,1200~890,半常绿雨林中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850875.jpg,,,,,,,,,, +,Luisia teres,HK kadoorie PT,,20020424,广西壮族自治区,900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097492.jpg,,,,,,,,,, +,Luisia teres,金效华,8128,20060408,云南省,1469,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825293.jpg,,,,,,,,,, +,Luisia teres,M.Togasi,1492,19561202,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01526311.jpg,,,,,,,,,, +散序地杨梅,Luzula effusa,李渤生 仉志诚 程树志,5653,19830720,西藏自治区,4100,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237335.jpg,,,,,,,,,, +散序地杨梅,Luzula effusa,太白队,58032,19580712,陕西省,2510,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237333.jpg,,,,,,,,,, +散序地杨梅,Luzula effusa,"王忠涛,曲上,徐连升",140456,20140617,河北省,1244,林下溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237334.jpg,,,,,,,,,, +多花地杨梅,Luzula multiflora,,75-518,19750705,西藏自治区,3500,冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237386.jpg,,,,,,,,,, +多花地杨梅,Luzula multiflora,"汤宗孝,田效文,张正华",730,19810804,云南省,3700,山腰、林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237383.jpg,,,,,,,,,, +多花地杨梅,Luzula multiflora,巴山采集队,2028,20080719,重庆市,2203,山脊,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237379.jpg,,,,,,,,,, +华北地杨梅,Luzula oligantha,黄土高原采集队,2864,19840618,河南省,950,水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237337.jpg,,,,,,,,,, +华北地杨梅,Luzula oligantha,"罗建,汪书丽",9218,20090620,西藏自治区,3453,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01950107.jpg,,,,,,,,,, +华北地杨梅,Luzula oligantha,巴山采集队,5095,20110701,四川省,1800,路边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873130.jpg,,,,,,,,,, +小花地杨梅,Luzula parviflora,植被组,22451,1980-6 2,四川省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0163644.jpg,,,,,,,,,, +小花地杨梅,Luzula parviflora,C.J.Neuman,,19150825,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/036021291.jpg,,,,,,,,,, +小花地杨梅,Luzula parviflora,,10880,76.07.18,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00054443.jpg,,,,,,,,,, +羽毛地杨梅,Luzula plumosa,Nie Min Liang,92080,19920502,江西省,900,林下阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237339.jpg,,,,,,,,,, +羽毛地杨梅,Luzula plumosa,张树仁等,37,20130418,四川省,1760,山脚湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919051.jpg,,,,,,,,,, +羽毛地杨梅,Luzula plumosa,"田先华,张力",T935063,19930511,陕西省,1400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850338.jpg,,,,,,,,,, +穗花地杨梅,Luzula spicata,杨国平,439,20040511,云南省,2490,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237391.jpg,,,,,,,,,, +穗花地杨梅,Luzula spicata,秦仁昌,1067,19560804,新疆维吾尔自治区,2640,山地潮湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230010.jpg,,,,,,,,,, +穗花地杨梅,Luzula spicata,Albin Petterson,26,19150728,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109653.jpg,,,,,,,,,, +,Luzula sudetica,,551,19640720,青海省,4700,滑塌流水线的土壤上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803372.jpg,,,,,,,,,, +,Luzula sudetica,Sten Nordenstam,s.n.,19340703,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01622092.jpg,,,,,,,,,, +,Luzula sudetica,T.T.Yu,14585,19371020,四川省,4000,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01622080.jpg,,,,,,,,,, +,Lycianthes biflora var. biflora,孙航,张建文,邓涛,朱鑫鑫,Sunhang11673,20120601,台湾省,780,路边坎上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1260389.jpg,,,,,,,,,, +红丝线,Lycianthes biflora var. biflora,殷建涛,1287,20091203,云南,1605,山林里,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030392.jpg,,,,,,,,,, +红丝线,Lycianthes biflora var. biflora,黄长春等,16314,19900513,广西壮族自治区,,路旁,草本,无花有果无花,https://image.cvh.ac.cn/files/l/GXMI/GXMI061917.jpg,,,,,,,,,, +密毛红丝线,Lycianthes biflora var. subtusochracea,考察队,32116,19820514,云南省,1050,沟谷潮湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/00882880.jpg,,,,,,,,,, +密毛红丝线,Lycianthes biflora var. subtusochracea,湘西调查队,550,19550624,广西壮族自治区,160,山谷路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00633233.jpg,,,,,,,,,, +鄂红丝线,Lycianthes hupehensis,三峡考察队,3123,20090901,重庆市,1440~1538,河谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01868411.jpg,,,,,,,,,, +鄂红丝线,Lycianthes hupehensis,PE-古蔺考察队,907,20100907,贵州省,1114~985,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01864676.jpg,,,,,,,,,, +鄂红丝线,Lycianthes hupehensis,北京队,1774,19880620,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01341828.jpg,,,,,,,,,, +茎根红丝线,Lycianthes lysimachioides var. caulorhiza,李泽贤,邢福武,3189,19880415,海南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0529545.jpg,,,,,,,,,, +茎根红丝线,Lycianthes lysimachioides var. caulorhiza,武陵队,9,19880608,湖南省,660,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0529550.jpg,,,,,,,,,, +茎根红丝线,Lycianthes lysimachioides var. caulorhiza,高锡朋,55334,19350619,广西壮族自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0529547.jpg,,,,,,,,,, +单花红丝线(原变种),Lycianthes lysimachioides var. lysimachioides,鞠文彬,邓亨宁,HGX13357,20130913,四川省,,林下溪边,草本,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0231446.jpg,,,,,,,,,, +单花红丝线,Lycianthes lysimachioides var. lysimachioides,资源县普查队,450329160810004LY,20160810,广西,973.7,灌丛,林缘,路旁,黄棕壤,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0172650.jpg,,,,,,,,,, +单花红丝线(原变种),Lycianthes lysimachioides var. lysimachioides,麻超柏、石琳军,HY20180710_0413,20180710,湖南,359.6,草丛,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU34757.jpg,,,,,,,,,, +中华红丝线,Lycianthes lysimachioides var. sinensis,邓云飞,241,19870721,湖南省,800,山沟林下阴蔽处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621622.jpg,,,,,,,,,, +中华红丝线,Lycianthes lysimachioides var. sinensis,王映明,5470,19880718,湖北省,1560,山坡 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01341837.jpg,,,,,,,,,, +曼尼浦大齿红丝线,Lycianthes macrodon var. manipurensis,俞德浚,20377,19370920,云南省,1400,margin of forest,,有果无花,https://image.cvh.ac.cn/files/l/KUN/182480.jpg,,,,,,,,,, +截萼红丝线,Lycianthes neesiana,刘恩德,方伟,王泽欢,陈丽,2314,20100105,云南省,1300,streamside,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252302.jpg,,,,,,,,,, +,Lycianthes neesiana,"蔡杰,张挺,谷志佳",12CS5677,20121203,广西壮族自治区,1274,林下箐沟中,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1381354.jpg,,,,,,,,,, +截萼红丝线,Lycianthes neesiana,,15971,19601104,贵州省,0,山沟阴处,,有果无花,https://image.cvh.ac.cn/files/l/KUN/182501.jpg,,,,,,,,,, +顺宁红丝线,Lycianthes shunningensis,青藏队,7069,19820608,云南省,2200,山坡 常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190008.jpg,,,,,,,,,, +顺宁红丝线,Lycianthes shunningensis,南丹调查队,4-5-1204,19771004,广西壮族自治区,,,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI039263.jpg,,,,,,,,,, +,Lycianthes shunningensis,T. T. Yu,16455,1938/6/24,,2180,,,,https://image.cvh.ac.cn/files/l/HUH/A00077123.jpg,,,,,,,,,, +单果红丝线,Lycianthes solitaria,青藏队,73-672,19730714,西藏自治区,1700,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/484269.jpg,,,,,,,,,, +单果红丝线,Lycianthes solitaria,会东队,769,19781006,四川,1700,,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM717400592.jpg,,,,,,,,,, +单果红丝线,Lycianthes solitaria,李菲菲,522623140914166 LY,20140914,贵州省,,阴性、沙土、灌丛、中生、中温、野生植物,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0066615.jpg,,,,,,,,,, +滇红丝线,Lycianthes yunnanensis,林秦文,2013-203,20130601,云南省,1750~2300,峡谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/02040496.jpg,,,,,,,,,, +滇红丝线,Lycianthes yunnanensis,北京队,893286,19891115,广西壮族自治区,,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02009927.jpg,,,,,,,,,, +宁夏枸杞,Lycium barbarum,王秋玲,HMS-BUCM-HKBU-091a01,20080710,宁夏回族自治区,1303,农田 农作物 壤土,,无花有果,https://image.cvh.ac.cn/files/l/PE/02040469.jpg,,,,,,,,,, +宁夏枸杞,Lycium barbarum,杜庆等,570,19810900,青海省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01805064.jpg,,,,,,,,,, +宁夏枸杞,Lycium barbarum,何叶祺,3227,19590623,甘肃省,1450,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01621616.jpg,,,,,,,,,, +枸杞(原变种),Lycium chinense var. chinense,梁宏温,450981151216016LY,20151216,广西壮族自治区,394.6,阔叶林,灌木,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0155176.jpg,,,,,,,,,, +枸杞,Lycium chinense var. chinense,永胜县普查队,5307220186,20120731,云南省,1584,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0019833.jpg,,,,,,,,,, +枸杞(原变种),Lycium chinense var. chinense,长林、白智敏、陈玉林、图布德、郑那拉、钟彩云、桂英、哈斯其其格,150727180626001LY,20180626,内蒙古,677.1,草原,灌木,有花无果,https://image.cvh.ac.cn/files/l/IATM/IATM0001601.jpg,,,,,,,,,, +北方枸杞,Lycium chinense var. potaninii,林有润,74-1445,19741017,青海省,2200,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00672195.jpg,,,,,,,,,, +北方枸杞,Lycium chinense var. potaninii,"陈心启,张志耘",2,19840523,河北省,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/00672194.jpg,,,,,,,,,, +,Lycium chinense var. potaninii,"许炳强,周伟,郑朝汉",XiaNH0351,20080910,西藏自治区,3334,路旁,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1381398.jpg,,,,,,,,,, +柱筒枸杞,Lycium cylindricum,胡伟明、沈笑飞,120,20120920,新疆维吾尔自治区,0~1384,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0770401.jpg,,,,,,,,,, +,Lycium cylindricum,张永田,s.n.,19810730,北京市,,栽培,藤状灌木,有花有果,https://image.cvh.ac.cn/files/l/FJSI/003724.jpg,,,,,,,,,, +新疆枸杞,Lycium dasystemum,新疆采集队,295,19780608,新疆维吾尔自治区,150,沙漠,,有花有果,https://image.cvh.ac.cn/files/l/PE/00672221.jpg,,,,,,,,,, +新疆枸杞,Lycium dasystemum,,80-427,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00672218.jpg,,,,,,,,,, +黑果枸杞,Lycium ruthenicum,柴达木盆地调查队,24,19550610,甘肃省,2740,旱田旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082357.jpg,,,,,,,,,, +黑果枸杞,Lycium ruthenicum,朱格麟等,5340,19640713,新疆维吾尔自治区,1400,河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882802.jpg,,,,,,,,,, +欧地笋,Lycopus europaeus,"近田文弘,郎楷永,杨戈",350,19870830,新疆维吾尔自治区,950,(蘑菇湖)湖畔湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01197557.jpg,,,,,,,,,, +欧地笋,Lycopus europaeus,昆明工作站,23387,19590901,云南省,3300,水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00786923.jpg,,,,,,,,,, +欧地笋,Lycopus europaeus,邓良,1588,19560621,广东省,600,水旁山谷阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00786922.jpg,,,,,,,,,, +,Lycopus lucidus var. lucidus,"杨承元,李祖桂",6187,19350830,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00786947.jpg,,,,,,,,,, +忽地笑,Lycoris aurea,植物资源考察队,D0971,19840819,河南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239457.jpg,,,,,,,,,, +忽地笑,Lycoris aurea,赵常明,EX1911,20080814,湖北省,500,河岸边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239455.jpg,,,,,,,,,, +忽地笑,Lycoris aurea,三峡考察队,2741,20090828,重庆市,1200~1386,峡谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239456.jpg,,,,,,,,,, +大萼珍珠花,Lyonia macrocalyx,G. Forrest,25829,19240000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00438464.jpg,,,,,,,,,, +大萼珍珠花,Lyonia macrocalyx,"程树志,李渤生",367,19820822,西藏自治区,2700,铁杉林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00198281.jpg,,,,,,,,,, +,Lyonia ovalifolia var. ovalifolia,"尹志坚,董洪进",230,20090301,云南省,1700~2300,roadsides forest margins,,有花有果,https://image.cvh.ac.cn/files/l/PE/02055496.jpg,,,,,,,,,, +,Lyonia ovalifolia var. ovalifolia,,85,19620819,广西壮族自治区,1100,草地,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01991993.jpg,,,,,,,,,, +,Lyonia ovalifolia var. ovalifolia,刘建华等,539,20030918,台湾省,2450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855998.jpg,,,,,,,,,, +毛脉珍珠花,Lyonia villosa var. pubescens,巴山采集队,3289,20100722,陕西省,1201,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059564.jpg,,,,,,,,,, +毛脉珍珠花,Lyonia villosa var. pubescens,蒋兴麟,36026,19530617,四川省,2950,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00199289.jpg,,,,,,,,,, +毛脉珍珠花,Lyonia villosa var. pubescens,PE西藏考察队,7160,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334395.jpg,,,,,,,,,, +毛叶珍珠花,Lyonia villosa var. villosa,永胜县普查队,5307220165,20120729,云南省,2117,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0014585.jpg,,,,,,,,,, +毛叶珍珠花(原变种),Lyonia villosa var. villosa,宋鼎;张桥蓉;张辽;陈国放,LS171,20180401,贵州,1642,林下,小乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1552492.jpg,,,,,,,,,, +台湾排香,Lysimachia ardisioides,林秦文,2013-163,20130601,云南省,1750~2300,峡谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040562.jpg,,,,,,,,,, +台湾排香,Lysimachia ardisioides,陈添财,12962,20040406,台湾省,700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917493.jpg,,,,,,,,,, +台湾排香,Lysimachia ardisioides,Miyoshi Furuse,s.n.,19670611,,450~694,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01202515.jpg,,,,,,,,,, +宝兴过路黄,Lysimachia baoxingensis,郝刚,455,20030709,四川省,3800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0182881.jpg,,,,,,,,,, +,Lysimachia barystachys,黄河队,414,19540701,甘肃省,1400,山坡阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02067367.jpg,,,,,,,,,, +,Lysimachia barystachys,孔冬梅,k0247,20140707,山西省,1125,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02040386.jpg,,,,,,,,,, +,Lysimachia barystachys,"王忠涛,曲上,徐连升",140178,20140612,河北省,763,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035449.jpg,,,,,,,,,, +短花珍珠菜,Lysimachia breviflora,青藏队,7150,19820610,云南省,1700~1800,山坡路边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01502103.jpg,,,,,,,,,, +过路黄,Lysimachia christinae,赵清盛 师进斌等,117293,19830612,四川省,1200,林中草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097194.jpg,,,,,,,,,, +过路黄,Lysimachia christinae,A.Delavay,,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054984.jpg,,,,,,,,,, +中甸珍珠菜,Lysimachia chungdienensis,陈介,453,19581201,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/48405.jpg,,,,,,,,,, +中甸珍珠菜,Lysimachia chungdienensis,青藏队,14890,19830925,四川省,1900,河谷山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/89684.jpg,,,,,,,,,, +临时救,Lysimachia congestiflora,谭策铭,95249,19950526,江西省,800,山谷路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115514.jpg,,,,,,,,,, +临时救,Lysimachia congestiflora,"H.Li,S.X.Yang,R.Li etc.",55,20020811,云南省,2550,次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110536.jpg,,,,,,,,,, +临时救,Lysimachia congestiflora,川黔队,255,19560529,重庆市,780,山坡 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083953.jpg,,,,,,,,,, +南亚过路黄,Lysimachia debilis,黄向旭、钟智波,15991,20130611,西藏自治区,0~2641,山地、路旁、山谷,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0774800.jpg,,,,,,,,,, +南亚过路黄,Lysimachia debilis,H.Ohashi etc.,771645,19770728,Topke Gola,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/185306.jpg,,,,,,,,,, +南亚过路黄,Lysimachia debilis,独龙江考察队,1289,19901227,云南省,1500,山坡灌丛,,有果无花,https://image.cvh.ac.cn/files/l/KUN/185304.jpg,,,,,,,,,, +金江珍珠菜,Lysimachia delavayi,滇西北金沙江队,6503,19630814,云南省,2100,松栎林下,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00204256.jpg,,,,,,,,,, +小金寸黄,Lysimachia delavayi,,32,19830804,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/074874.jpg,,,,,,,,,, +小寸金黄,Lysimachia deltoidea var. cinerascens,"H.Li,S.X.Yang,R.Li etc.",712,20021106,云南省,2530,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110560.jpg,,,,,,,,,, +小寸金黄,Lysimachia deltoidea var. cinerascens,"D.E.Boufford,L.Y.Chen,X.H.Li etc.",42803,20100810,四川省,3190~3250,mixed thickets on slopes area heavily grazed by goats and cattle and heavily cut by humans around shrubs and in openings in forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043031.jpg,,,,,,,,,, +锈毛过路黄,Lysimachia drymarifolia,邱炳云,51552,19560421,云南省,,"山谷,溪旁,无荫,润湿",,有花无果,https://image.cvh.ac.cn/files/l/PE/00204280.jpg,,,,,,,,,, +锈毛过路黄,Lysimachia drymarifolia,川经乐(59)字,3074,19590508,四川省,,山脚下,草坪中黑色壤土同生植物等,,有花无果,https://image.cvh.ac.cn/files/l/PE/00204272.jpg,,,,,,,,,, +,Lysimachia engleri var. glabra,郭辉军,1245,19880509,云南省,2300,沟边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1267743.jpg,,,,,,,,,, +小思茅香草,Lysimachia engleri var. glabra,蔡杰,刘恩德,郭永杰,13CS7701,20130531,西藏,2177,路边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1395830.jpg,,,,,,,,,, +小思茅香草,Lysimachia engleri var. glabra,"蔡杰, 刘成, 李昌洪",17CS15133,20170506,云南,2329,常绿阔叶林林缘,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445348.jpg,,,,,,,,,, +短柱珍珠菜,Lysimachia excisa,,6,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01895457.jpg,,,,,,,,,, +短柱珍珠菜,Lysimachia excisa,俞德浚,14853,19371209,四川省,2500,Mt. rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/185017.jpg,,,,,,,,,, +短柱珍珠菜,Lysimachia excisa,高云东,邓亨宁,黎怀成,THP-KD-2086,20170804,四川,2800~3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243063.jpg,,,,,,,,,, +叶苞过路黄,Lysimachia hemsleyi,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",43,20020411,云南省,2550,次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02110982.jpg,,,,,,,,,, +叶苞过路黄,Lysimachia hemsleyi,李汉权,I0166,19580729,陕西省,340,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01895589.jpg,,,,,,,,,, +多枝香草,Lysimachia laxa,T.T.Yu,16443,19380623,云南省,2300,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00204669.jpg,,,,,,,,,, +多枝香草,Lysimachia laxa,葛学军等,2003T-1,20030923,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0182896.jpg,,,,,,,,,, +,Lysimachia lichiangensis,D.E.Boufford et al.,42075,20100719,云南省,2725~2750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023547.jpg,,,,,,,,,, +丽江珍珠菜,Lysimachia lichiangensis,孔航辉,任琛,YangQE2881,20091011,云南,2629,草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1395833.jpg,,,,,,,,,, +长蕊珍珠菜,Lysimachia lobelioides,"刘冰,覃海宁,张宪春等",773,20070613,贵州省,1234,水田边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043242.jpg,,,,,,,,,, +长蕊珍珠菜,Lysimachia lobelioides,红水河植物考察队,89-1528,19890521,广西壮族自治区,750,石灰岩灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02008745.jpg,,,,,,,,,, +长蕊珍珠菜,Lysimachia lobelioides,红水河植物考察队,2289,19890619,云南省,1750,华山松到杉木林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02008744.jpg,,,,,,,,,, +小叶珍珠菜,Lysimachia parvifolia,"H.Li,S.X.Yang,R.Li etc.",1041,20021110,云南省,2570,林(中)下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110976.jpg,,,,,,,,,, +小叶珍珠菜,Lysimachia parvifolia,云台山采集队,1018,20090816,河南省,,山地路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02030710.jpg,,,,,,,,,, +小叶珍珠菜,Lysimachia parvifolia,红水河植物考察队,722,19890501,广西壮族自治区,910,石灰岩疏林下或田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02008753.jpg,,,,,,,,,, +阔瓣珍珠菜,Lysimachia platypetala,尹志坚等,3027,20100623,云南省,1700,"Riversids,in grass",,无花无果,https://image.cvh.ac.cn/files/l/PE/01920529.jpg,,,,,,,,,, +阔瓣珍珠菜,Lysimachia platypetala,覃海宁等,42,20010826,四川省,1700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01895774.jpg,,,,,,,,,, +多育星宿菜,Lysimachia prolifera,"陈伟烈,陈家瑞,郭柯,闰建平",5781,19840602,四川省,2900,水塘中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01895517.jpg,,,,,,,,,, +多育星宿菜,Lysimachia prolifera,"张永田,郞楷永",4493,19660624,西藏自治区,2900,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205062.jpg,,,,,,,,,, +多育星宿菜,Lysimachia prolifera,T.T.Yu,19269,19380709,云南省,2900,Under thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205061.jpg,,,,,,,,,, +矮星宿菜,Lysimachia pumila,"南水北调队,姜恕",5139,19640611,四川省,4030,山上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01895519.jpg,,,,,,,,,, +矮星宿菜,Lysimachia pumila,青藏队,960,19810612,云南省,3420,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01502158.jpg,,,,,,,,,, +折瓣珍珠菜,Lysimachia reflexiloba,赵清盛、胡刚等,7907,1978-8 6,四川省,1750,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0111130.jpg,,,,,,,,,, +折瓣珍珠菜,Lysimachia reflexiloba,,,19620814,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/074668.jpg,,,,,,,,,, +,Lysimachia reflexiloba,"Handel-Mazzetti, H.",7572,10-Aug-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00024975.jpg,,,,,,,,,, +粉红珍珠菜,Lysimachia roseola,刘照光,4583,1974-6 1,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172340.jpg,,,,,,,,,, +茂汶过路黄,Lysimachia stellarioides,洵阳队,819,19590711,陕西省,700,阴坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01502699.jpg,,,,,,,,,, +茂汶过路黄,Lysimachia stellarioides,宝兴队,78-0502,19780626,四川,,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715701990.jpg,,,,,,,,,, +,Lysimachia stellarioides,"Wilson, Ernest Henry",3802,21-May-08,,,,,,https://image.cvh.ac.cn/files/l/E/E00024960.jpg,,,,,,,,,, +大理珍珠菜,Lysimachia taliensis,刘慎谔,20947,19461002,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00205231.jpg,,,,,,,,,, +大理珍珠菜,Lysimachia taliensis,王汉臣,4303,1946.4.25.,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0004666.jpg,,,,,,,,,, +腾冲过路黄,Lysimachia tengyuehensis,王启无,77137,空,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0020247.jpg,,,,,,,,,, +腾冲过路黄,Lysimachia tengyuehensis,徐洲锋,赵旻骏,李富贵,上官法智,3767,20120614,云南省 ,2362,margin of secondary forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1251597.jpg,,,,,,,,,, +藏珍珠菜,Lysimachia tsarongensis,腾冲普查队,530522150511117LY,20150511,云南省,1907,针阔叶混交林,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0029467.jpg,,,,,,,,,, +,Lysimachia tsarongensis,"Forrest, George",19282,19-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00062016.jpg,,,,,,,,,, +大花珍珠菜,Lysimachia violascens,蓝顺彬,469,19850721,云南省,3500,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01895618.jpg,,,,,,,,,, +大花珍珠菜,Lysimachia violascens,青藏队,14864,19830930,四川省,1900,河边灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01895612.jpg,,,,,,,,,, +毛黄连花,Lysimachia vulgaris,"朱格麟,徐文友,刘玉兰",6122,19640810,新疆维吾尔自治区,920,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01895513.jpg,,,,,,,,,, +毛黄连花,Lysimachia vulgaris,Geerinck-Coutrez,7355,19940000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883227.jpg,,,,,,,,,, +毛黄连花,Lysimachia vulgaris,,675,19410606,重庆市,500,低山 强酸性土,,无花无果,https://image.cvh.ac.cn/files/l/PE/01600508.jpg,,,,,,,,,, +深紫吊石苣苔,Lysionotus atropurpureus,"刘成|920, 亚吉东|1657, 何华杰|6148, 李昌洪|7990",16CS14012,20161120,西藏,,路边山坡大树上,附生植物,无花有果,https://image.cvh.ac.cn/files/l/KUN/1441004.jpg,,,,,,,,,, +深紫吊石苣苔,Lysionotus atropurpureus,韦玉乖,QNSY20182549,20180422,贵州省,590,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0029054.jpg,,,,,,,,,, +滇西吊石苣苔,Lysionotus forrestii,青藏队,9597,19820824,云南省,1700,山坡 岩石上附生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173254.jpg,,,,,,,,,, +滇西吊石苣苔,Lysionotus forrestii,,9753,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0550184.jpg,,,,,,,,,, +合萼吊石苣苔,Lysionotus gamosepalus,,2592,19740916,西藏自治区,1100,杂木林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01670220.jpg,,,,,,,,,, +,Lysionotus levipes,"Yü, Tse-tsun",20454,26-Sep-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00067560.jpg,,,,,,,,,, +墨脱吊石苣苔,Lysionotus metuoensis,"程树志,倪志诚,李渤生",4801,19830509,西藏自治区,1650,常绿阔叶林树上时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01506230.jpg,,,,,,,,,, +墨脱吊石苣苔,Lysionotus metuoensis,"刘成, 亚吉东",18CS17222,20181120,西藏,772,林缘山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486763.jpg,,,,,,,,,, +毛枝吊石苣苔,Lysionotus pubescens,陶德定,705,19731011,云南省,0~2100,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0550564.jpg,,,,,,,,,, +毛枝吊石苣苔,Lysionotus pubescens,"郭永杰, 张桥蓉, 秦少发, 张凤琼",16CS14544,20161122,西藏,1631,河边孤岛状大岩石上,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1459257.jpg,,,,,,,,,, +齿叶吊石苣苔,Lysionotus serratus,刘方谱,LFP2016022,20160723,云南省,1714,乱石堆中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02106060.jpg,,,,,,,,,, +齿叶吊石苣苔,Lysionotus serratus,红水河植物考察队,1207,19890516,广西壮族自治区,740,清水河大桥两岸灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02011278.jpg,,,,,,,,,, +短柄吊石苣苔,Lysionotus sessilifolius,"张彩飞,郭丽平",1520,20081006,云南省,1450,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02111522.jpg,,,,,,,,,, +黄花吊石苣苔,Lysionotus sulphureus,"Jin Xh,Wang LS,Wang Q,Wei R,Fu ZX,Feng YL",ST1564,20130801,云南省,2750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111526.jpg,,,,,,,,,, +黄花吊石苣苔,Lysionotus sulphureus,李儒财,龙文兴,LWX20040,20130721,海南,1354.28,热带山顶矮林,草本,,https://image.cvh.ac.cn/files/l/KUN/1385420.jpg,,,,,,,,,, +中平树,Macaranga denticulata,"李渤生,程树志",3952,19830408,西藏自治区,1000~750,山坡 优势树种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538541.jpg,,,,,,,,,, +中平树,Macaranga denticulata,,62006,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01381556.jpg,,,,,,,,,, +中平树,Macaranga denticulata,周沛椿,80067,19590412,广西壮族自治区,,山谷水旁普遍,,有花无果,https://image.cvh.ac.cn/files/l/PE/01381555.jpg,,,,,,,,,, +,Macaranga indica,Shui Yumin et al.,11582,19991004,云南省,1120,at edge forests barren slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239585.jpg,,,,,,,,,, +,Macaranga indica,"李渤生,程树志",1652,19821103,西藏自治区,1600,常绿阔叶林 次生林优势种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538543.jpg,,,,,,,,,, +,Macaranga pustulata,T.Naito et al. ,848,19860512,西藏自治区,2000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01680375.jpg,,,,,,,,,, +,Macaranga pustulata,M.K.Li,826,19391023,云南省,2000,among mixed forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01381583.jpg,,,,,,,,,, +察隅润楠,Machilus chayuensis,张经炜,723,19730715,西藏自治区,2200,东北坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01505926.jpg,,,,,,,,,, +察隅润楠,Machilus chayuensis,林瓯,3072,19320724,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/FJFC/FJFC0008016.jpg,,,,,,,,,, +黄毛润楠,Machilus chrysotricha,裴男才,123,20081000,浙江省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0734803.jpg,,,,,,,,,, +黄毛润楠,Machilus chrysotricha,赵裕章,20691,19390520,云南省,700,林内,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0172127.jpg,,,,,,,,,, +黄毛润楠,Machilus chrysotricha,冬升,信宜101,20130825,广东省,601,路边林中,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0069597.jpg,,,,,,,,,, +灌丛润楠,Machilus dumicola,,1780,19581125,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01522190.jpg,,,,,,,,,, +灌丛润楠,Machilus dumicola,G.Forrest,18071,1919.6.,云南,8000ft,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0000315.jpg,,,,,,,,,, +长梗润楠,Machilus duthiei,"刘恩德,方伟,徐洲锋,上官法智,常学科,席辉辉,李云,廖鸿艳,李成清",4125,20150627,云南省,2189,河边林中,,,https://image.cvh.ac.cn/files/l/KUN/1268850.jpg,,,,,,,,,, +长梗润楠,Machilus duthiei,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,1140,20121021,西藏,,林中,乔木,无花无果,https://image.cvh.ac.cn/files/l/BJM/0230704.jpg,,,,,,,,,, +黄心树,Machilus gamblei,王功范,1-0061,20030429,贵州省,700,山坡密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00699659.jpg,,,,,,,,,, +黄心树,Machilus gamblei,陶国达,21117,19780226,云南省,0,林内、水沟边,乔木,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0734977.jpg,,,,,,,,,, +黄心树,Machilus gamblei,R.C.Ching,5616,1928,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0061747.jpg,,,,,,,,,, +贡山润楠,Machilus gongshanensis,K.M.Feng,8612,19401019,云南省,,沟边杂林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/01520407.jpg,,,,,,,,,, +秃枝润楠,Machilus kurzii,H.T.Tsai,54089,1933-08-,云南省,2900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0061976.jpg,,,,,,,,,, +秃枝润楠,Machilus kurzii,,6125,,,3500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0061977.jpg,,,,,,,,,, +秃枝润楠,Machilus kurzii,王加和,XPALSC031,20080820,云南,2410,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1230853.jpg,,,,,,,,,, +润楠,Machilus nanmu,廖博儒,查学洲,207,20061021,湖南,720,林地,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230856.jpg,,,,,,,,,, +润楠,Machilus nanmu,滇东南考察队,GBOWS623,20100110,云南省,967,路边杂林,,,https://image.cvh.ac.cn/files/l/KUN/1276539.jpg,,,,,,,,,, +,Machilus nanmu,南水北调队,539,19590605,四川省,1080,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0172509.jpg,,,,,,,,,, +糙枝润楠,Machilus ovatiloba,青藏队黄荣福,354,19790702,西藏自治区,2600,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/84894.jpg,,,,,,,,,, +粗壮润楠,Machilus robusta,李钦,326,20050502,广西壮族自治区,550,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01814359.jpg,,,,,,,,,, +粗壮润楠,Machilus robusta,王启无,78519,19360900,云南省,1800,mixed wood forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01522198.jpg,,,,,,,,,, +红梗润楠,Machilus rufipes,黄道存,47,19530519,云南省,1900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01520338.jpg,,,,,,,,,, +红梗润楠,Machilus rufipes,青藏队,74-4936,19740830,西藏自治区,2400,山坡阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00618890.jpg,,,,,,,,,, +,Machilus salmonea,青藏队,74-4044,19740804,西藏自治区,2080,山坡阔叶林中第一层,,无花有果,https://image.cvh.ac.cn/files/l/PE/01314488.jpg,,,,,,,,,, +瑞丽润楠,Machilus shweliensis,"程树志,李渤生",805,19820910,西藏自治区,2400,常绿阔叶林中常见伴生乔木,,无花无果,https://image.cvh.ac.cn/files/l/PE/00619340.jpg,,,,,,,,,, +瑞丽润楠,Machilus shweliensis,"钟补勤,匡可任",407,19430526,云南省,1600,深峡林地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00618883.jpg,,,,,,,,,, +瑞丽润楠,Machilus shweliensis,海南东队,191,19580811,海南省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00195752.jpg,,,,,,,,,, +绿叶润楠,Machilus viridis,"陈伟烈,陈家瑞,郭柯等",5659,19840530,四川省,2570,河谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044850.jpg,,,,,,,,,, +绿叶润楠,Machilus viridis,昆明工作站,23993,19591008,云南省,2800,阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01520410.jpg,,,,,,,,,, +绿叶润楠,Machilus viridis,钟补求,6236,19531224,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01505924.jpg,,,,,,,,,, +滇润楠,Machilus yunnanensis var. yunnanensis,王洪,7188,20040616,云南省,1100,河两岸山坡地,乔木,,https://image.cvh.ac.cn/files/l/HITBC/0017573.jpg,,,,,,,,,, +,Maclura cochinchinensis,"李渤生,程树志",1742,19821112,西藏自治区,1250,次生小东哥林中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/02098853.jpg,,,,,,,,,, +,Maclura cochinchinensis,"张寿洲,李良千等",3239,20050603,广东省,100~200,密林水沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01588582.jpg,,,,,,,,,, +,Maclura fruticosa,"刘成,字海荣,李永亮",14CS8323,20140321,云南省,1726,荒地边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1327187.jpg,,,,,,,,,, +柘藤,Maclura fruticosa,,,19330000,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00294306.jpg,,,,,,,,,, +柘藤,Maclura fruticosa,李学根,203790,19590623,湖南省,478,山地,灌丛,沙土,散生,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00269090.jpg,,,,,,,,,, +,Maclura tricuspidata,赵常明,EX1104,20070917,湖北省,700,阔叶林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01789118.jpg,,,,,,,,,, +,Maclura tricuspidata,"张寿洲,李良千等",777,20050428,广东省,50,海边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01588541.jpg,,,,,,,,,, +,Maclura tricuspidata,武陵山考察队,2175,19881015,湖南省,500,山地 山谷 疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01353502.jpg,,,,,,,,,, +,Macropanax dispermus,西藏中草药普查队,1353,19720819,西藏自治区,2100~2200,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537611.jpg,,,,,,,,,, +,Macropanax dispermus,F.T.Wang,20800,19300000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00911655.jpg,,,,,,,,,, +,Macropanax dispermus,,6019,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00911654.jpg,,,,,,,,,, +波缘大参,Macropanax undulatus,"Gregory M.Plunkett,with P.P.Lowry,J.Wen,and Z.L.Ne",1989,20041124,云南省,1196,in dense woods along road side,,无花有果,https://image.cvh.ac.cn/files/l/PE/01058434.jpg,,,,,,,,,, +波缘大参,Macropanax undulatus,科考队,1653,19740806,西藏自治区,1100,常绿阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00911681.jpg,,,,,,,,,, +鞘花,Macrosolen cochinchinensis,川黔队,288,19560512,重庆市,500,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067555.jpg,,,,,,,,,, +鞘花,Macrosolen cochinchinensis,华南队,824,19890519,广西壮族自治区,1100,山地山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01985650.jpg,,,,,,,,,, +鞘花,Macrosolen cochinchinensis,红水河植物考察队,1808,19890527,云南省,850,南盘江边沟谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01985644.jpg,,,,,,,,,, +喜马拉雅臭樱,Maddenia himalaica,青藏队补点组,750141,19750601,西藏自治区,2840,林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/00772907.jpg,,,,,,,,,, +喜马拉雅臭樱,Maddenia himalaica,B. Bartholomew ,1535,19840502,,3100,mixed Rhododendron-Tsuga forest.,,无花有果,https://image.cvh.ac.cn/files/l/PE/00197189.jpg,,,,,,,,,, +四川臭樱,Maddenia hypoxantha,龙茹,90192,20090510,湖北省,1500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01857320.jpg,,,,,,,,,, +四川臭樱,Maddenia hypoxantha,徐洪贵,4522,19950601,四川省,2500,林间,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841242.jpg,,,,,,,,,, +四川臭樱,Maddenia hypoxantha,"张志松,党成忠等",402013,19640524,贵州省,2500,山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01296248.jpg,,,,,,,,,, +锐齿臭樱,Maddenia incisoserrata,"D.E.Boufford,with Y.Jia",37769,20070519,甘肃省,2320~2725,mixed deciduous forest with dense herbaceous groundcover,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036479.jpg,,,,,,,,,, +锐齿臭樱,Maddenia incisoserrata,"龙茹,郑宝汇",90078,20090502,湖北省,1500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01857322.jpg,,,,,,,,,, +华西臭樱,Maddenia wilsonii,PE西藏考察队,7141,20180611,西藏自治区,3101,山谷灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332420.jpg,,,,,,,,,, +华西臭樱,Maddenia wilsonii,陈明洪等,981037,19980700,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061879.jpg,,,,,,,,,, +华西臭樱,Maddenia wilsonii,张志英,5571,19590622,甘肃省,2300,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00995653.jpg,,,,,,,,,, +银叶杜茎山,Maesa argentea,尹志坚等,3533,20100806,云南省,2100,valley,in forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005690.jpg,,,,,,,,,, +银叶杜茎山,Maesa argentea,236-6队,4423,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00070968.jpg,,,,,,,,,, +凹脉杜茎山,Maesa cavinervis,"李渤生,程树志",1479,19821026,西藏自治区,1800,常绿阔叶林下常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01908160.jpg,,,,,,,,,, +凹脉杜茎山,Maesa cavinervis,"蔡杰, 刘恩德, 郭永杰",13CS7692,20130531,西藏,,林缘灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1339490.jpg,,,,,,,,,, +凹脉杜茎山,Maesa cavinervis,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003140,20171211,,928,Roadside,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445897.jpg,,,,,,,,,, +灰叶杜茎山,Maesa chisia,Yuan Xu,Xu130152,20130611,西藏自治区,0,路旁、林缘,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0768859.jpg,,,,,,,,,, +灰叶杜茎山,Maesa chisia,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0027327.jpg,,,,,,,,,, +灰叶杜茎山,Maesa chisia,香考队,85-253,19850416,云南省,1850,林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1257353.jpg,,,,,,,,,, +,Maesa densistriata,董洪进,王泽欢,胡国雄,陈亚萍,LX-Z-007,20130709,云南省,,路边,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1253451.jpg,,,,,,,,,, +灰叶杜茎山,Maesa densistriata,"赵文李, 杨鹏, 陶小强",BSGLGSly3131,20190905,云南,1815,陡崖、峡谷、河边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483545.jpg,,,,,,,,,, +隐纹杜茎山,Maesa manipurensis,G.Forrest,9604,19130000,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0766794.jpg,,,,,,,,,, +毛脉杜茎山,Maesa marionae,WU SUGONG,3127,19961007,云南省,1400,Roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/01934231.jpg,,,,,,,,,, +毛脉杜茎山,Maesa marionae,"程树志,倪志诚,李渤生",4788,19830509,西藏自治区,1650,常绿阔叶林缘多见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908174.jpg,,,,,,,,,, +皱叶杜茎山,Maesa rugosa,张经炜,845,19730721,西藏自治区,1950,山沟凹坡,常绿阔叶林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061226.jpg,,,,,,,,,, +皱叶杜茎山,Maesa rugosa,青藏队区系组,7863,19820701,云南省,2100~2200,初于对面山坡常绿滋长叶林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01935216.jpg,,,,,,,,,, +山玉兰,Magnolia delavayi,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",269,20020814,云南省,,常绿阔叶林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100068.jpg,,,,,,,,,, +毛叶玉兰,Magnolia globosa,"程树志,李渤生",292,19820820,西藏自治区,3500~3700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01494394.jpg,,,,,,,,,, +毛叶玉兰,Magnolia globosa,青藏队,8437,19820722,云南省,2600~2700,Tsuga林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01109156.jpg,,,,,,,,,, +毛叶玉兰,Magnolia globosa,G.Forrest,18870,19190700,,,In thickets on the margins of thicket,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934090.jpg,,,,,,,,,, +长喙厚朴,Magnolia rostrata,"李渤生,程树志",3845,19830328,西藏自治区,750,半常绿雨林下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231200.jpg,,,,,,,,,, +长喙厚朴,Magnolia rostrata,韩裕丰等,81-572,19810601,云南省,1480,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01800310.jpg,,,,,,,,,, +圆叶玉兰,Magnolia sinensis,冯正波等,20070385,20070516,四川省,1800,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01852819.jpg,,,,,,,,,, +圆叶玉兰,Magnolia sinensis,黔南队,3699,19590828,贵州省,,"山坡,密林中",,无花有果,https://image.cvh.ac.cn/files/l/PE/00103062.jpg,,,,,,,,,, +西康玉兰,Magnolia wilsonii,,75-1075,19750815,西藏自治区,2750,铁杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01852833.jpg,,,,,,,,,, +西康玉兰,Magnolia wilsonii,朱大海,3930,20070615,四川省,2580,山谷林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01852824.jpg,,,,,,,,,, +西康玉兰,Magnolia wilsonii,安顺队,1112,19590822,贵州省,2620,山顶阳处,灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01852825.jpg,,,,,,,,,, +二色胀萼紫草,Maharanga bicolor,魏来、何毅,BNUXZ2016261,20160719,西藏自治区,2785,山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0041333.jpg,,,,,,,,,, +污花胀萼紫草,Maharanga emodi,"张挺, 刘成, 亚吉东",18CS17711,20180916,西藏,3829,路边山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487408.jpg,,,,,,,,,, +污花滇紫草,Maharanga emodi,H.Hara H.Ohba,724059,19720802,,3600,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/86741.jpg,,,,,,,,,, +污花胀萼紫草,Maharanga emodi,青藏队,7015,19750719,西藏自治区,3100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/50449.jpg,,,,,,,,,, +阔叶十大功劳,Mahonia bealei,武建勇,GY2,20061007,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231345.jpg,,,,,,,,,, +阔叶十大功劳,Mahonia bealei,孙翔宇,6,20060402,江苏省,100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840141.jpg,,,,,,,,,, +鹤庆十大功劳,Mahonia bracteolata,冯,9311,19421119,云南省,1900,"河边,灌林中",,无花有果,https://image.cvh.ac.cn/files/l/PE/01034516.jpg,,,,,,,,,, +鹤庆十大功劳,Mahonia bracteolata,谭士贤,770714,19710801,四川省,1200,路旁灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0053014.jpg,,,,,,,,,, +鹤庆十大功劳,Mahonia bracteolata,刘正宇,970569,19970730,重庆,560,山地灌丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0053013.jpg,,,,,,,,,, +门隅十大功劳,Mahonia monyulensis,方震东、和光,XZ-219,20070924,西藏自治区,1798,亚热性多年生禾草-裸岩植被,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002117.jpg,,,,,,,,,, +尼泊尔十大功劳,Mahonia napaulensis,壶瓶山考察队,1490,19870713,湖南省,1600~1750,常绿落叶混交林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01561084.jpg,,,,,,,,,, +尼泊尔十大功劳,Mahonia napaulensis,中日考察队,T45,19900521,西藏自治区,3000,河谷林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01034801.jpg,,,,,,,,,, +尼泊尔十大功劳,Mahonia napaulensis,T. T. Tu,22999,19381117,云南省,1700,margin of forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01034777.jpg,,,,,,,,,, +,Mahonia polyodonta,甘霖,GanQL593,20141108,湖北省,656,山坡罐丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1320843.jpg,,,,,,,,,, +峨眉十大功劳,Mahonia polyodonta,蔡希陶,51098,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0178009.jpg,,,,,,,,,, +峨眉十大功劳,Mahonia polyodonta,包维楷等,2696,1994-7 1,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0028457.jpg,,,,,,,,,, +独龙十大功劳,Mahonia taronensis,中国科学院综合考察委员会,2668,19740918,西藏自治区,1800,常绿阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01034956.jpg,,,,,,,,,, +独龙十大功劳,Mahonia taronensis,王启无,67115,19351000,云南省,1500,Tree dark,,无花有果,https://image.cvh.ac.cn/files/l/PE/01034953.jpg,,,,,,,,,, +独龙十大功劳,Mahonia taronensis,T.N. Liou & C.Wang,1052,1939/9/29,四川省,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0065145.jpg,,,,,,,,,, +舞鹤草,Maianthemum bifolium,李才贵,13,19840526,山西省,1960,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081487.jpg,,,,,,,,,, +舞鹤草,Maianthemum bifolium,"王忠涛,曲上,徐连升",140146,20140611,河北省,1376,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035435.jpg,,,,,,,,,, +舞鹤草,Maianthemum bifolium,陈又生等,140795,20140723,内蒙古自治区,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034035.jpg,,,,,,,,,, +窄瓣鹿药,Maianthemum tatsienense,俞德俊,11983,19380707,云南省,0~3400,,草本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0645983.jpg,,,,,,,,,, +窄瓣鹿药,Maianthemum tatsienense,熊济华、张秀宝、蒋兴麟,30532,19520513,四川省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0645999.jpg,,,,,,,,,, +窄瓣鹿药,Maianthemum tatsienense,王启无,68290,19350000,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0645985.jpg,,,,,,,,,, +合瓣鹿药,Maianthemum tubiferum,T.T.Yu,19312,19380711,云南省,3500,margin of thcikets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00331309.jpg,,,,,,,,,, +合瓣鹿药,Maianthemum tubiferum,宋滋圃,38689,19540000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00331308.jpg,,,,,,,,,, +合瓣鹿药,Maianthemum tubiferum,潘、沈、李、王,B0051,19570613,河北省,0~2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0645987.jpg,,,,,,,,,, +沼兰,Malaxis monophyllos,Xiaohua Jin et Zhanghai Li,16592,20150816,云南省,3000,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233161.jpg,,,,,,,,,, +沼兰,Malaxis monophyllos,青藏队,4627,19740900,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230209.jpg,,,,,,,,,, +沼兰,Malaxis monophyllos,"陈又生,袁慊,徐连升,李灵露",140789,20140723,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230198.jpg,,,,,,,,,, +涩荠,Malcolmia africana,Harry Smith.,5628,19240602,山西省,800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998048.jpg,,,,,,,,,, +涩荠,Malcolmia africana,Arnold Tiehm,15821,20090607,,1981,Growing with Artemisia tridentata on outwash fans east on the road,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869040.jpg,,,,,,,,,, +涩荠,Malcolmia africana,Sino-Russian Altai Expedition,SRAE2004024,20040000,新疆维吾尔自治区,,Desert,,有花无果,https://image.cvh.ac.cn/files/l/PE/01767053.jpg,,,,,,,,,, +刚毛涩荠,Malcolmia hispida,徐文友等,107,19650708,新疆维吾尔自治区,1239,干旱山坡地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01124922.jpg,,,,,,,,,, +刚毛涩荠,Malcolmia hispida,,s.n.,19560621,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01124923.jpg,,,,,,,,,, +,Mallotus barbatus var. barbatus,"刘成, 胡枭剑, 李昌洪",18CS17550,20180710,云南,993,公路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484184.jpg,,,,,,,,,, +毛桐,Mallotus barbatus var. barbatus,田林普查队,4.51E+14,20130426,广西壮族自治区,814,灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI063872.jpg,,,,,,,,,, +毛桐,Mallotus barbatus var. barbatus,凌云普查队,4.51E+14,20130430,广西,824,阔叶林,阳坡,黄棕壤,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0117272.jpg,,,,,,,,,, +,Mallotus nepalensis,"张志耘,谢磊,张强",2015-155,20150504,广西壮族自治区,530~860,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064708.jpg,,,,,,,,,, +,Mallotus nepalensis,,13194,19900828,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01803434.jpg,,,,,,,,,, +,Mallotus nepalensis,Hwong & Su,(11)2,19301000,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01700132.jpg,,,,,,,,,, +粗糠柴,Mallotus philippensis var. philippensis,张友昔,520123151001291LY,20151002,贵州省,953.8,中生、阳性、中温、野生植物,藤本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0035961.jpg,,,,,,,,,, +粗糠柴,Mallotus philippensis var. philippensis,刘开桃、左群、郜文军、杨万忠、陈银春,522633190421030LY,20190421,贵州,609.4,针阔叶混交林、旱生、阳性、中温、野生植物,灌木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0096698.jpg,,,,,,,,,, +粗糠柴,Mallotus philippensis var. philippensis,兴安县普查队,450325140905019LY ,,广西,619,阔叶林,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0109688.jpg,,,,,,,,,, +,Mallotus repandus var. chrysocarpus,"张寿洲,李良千等",824,20050429,广东省,0~50,密林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239700.jpg,,,,,,,,,, +,Mallotus repandus var. chrysocarpus,夏江林,215,19950523,湖南省,300,灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239710.jpg,,,,,,,,,, +,Mallotus repandus var. repandus,"刘成, 胡枭剑, 李昌洪",18CS17564,20180712,云南,847,公路上方灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484240.jpg,,,,,,,,,, +,Mallotus repandus var. repandus,"郭永杰, 张桥蓉, 杨忠兰, 谭治刚",18CS17062,20180708,浙江,55,路边灌丛中,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484728.jpg,,,,,,,,,, +石岩枫,Mallotus repandus var. repandus,任琛、陆萃红,18334,20080507,广西壮族自治区,,杂木林,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0023864.jpg,,,,,,,,,, +花红,Malus asiatica,田景全,42,19600420,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839254.jpg,,,,,,,,,, +花红,Malus asiatica,闰振龙,692,19560805,河北省,,山地 梯田 因岩砾 土壤 黄色 具须 梯田苹果树,,无花无果,https://image.cvh.ac.cn/files/l/PE/01827028.jpg,,,,,,,,,, +山荆子,Malus baccata,"Li Zhenyu,Jin Xiaohua,Tu Yanli etc.",T066,20160912,西藏自治区,2900,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233333.jpg,,,,,,,,,, +山荆子,Malus baccata,,33,19900704,北京市,1200,山地山顶路旁林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093389.jpg,,,,,,,,,, +山荆子,Malus baccata,黄河队,329,19540730,陕西省,,山坡阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067459.jpg,,,,,,,,,, +稻城海棠,Malus daochengensis,T.T.Yu,12913,19370827,四川省,2800,side of field,shrub,无花有果,https://image.cvh.ac.cn/files/l/PE/00934235.jpg,,,,,,,,,, +稻城海棠,Malus daochengensis,K.M.Feng,4549,19400614,云南省,3200,杂林中,乔木,有花有果,https://image.cvh.ac.cn/files/l/PE/00927531.jpg,,,,,,,,,, +垂丝海棠,Malus halliana,刘正宇,10917,19900418,重庆市,650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01861833.jpg,,,,,,,,,, +垂丝海棠,Malus halliana,T.Green,s.n.,19920929,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01846154.jpg,,,,,,,,,, +垂丝海棠,Malus halliana,"张鹏,齐隆甫",856,19570410,陕西省,320~350,平地 黄壤土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01572069.jpg,,,,,,,,,, +湖北海棠,Malus hupehensis,秦岭队,10853,19590908,陕西省,,阴处山谷 密林中沟底,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092818.jpg,,,,,,,,,, +湖北海棠,Malus hupehensis,"刘金鉴,田景全",294,19631017,四川省,650,山坡半阳处 疏林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092691.jpg,,,,,,,,,, +湖北海棠,Malus hupehensis,刘彬彬,2275,20150716,湖北省,2672,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02070250.jpg,,,,,,,,,, +陇东海棠,Malus kansuensis,"川西队,关克俭,王文采等",1240,19630801,四川省,3100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091534.jpg,,,,,,,,,, +陇东海棠,Malus kansuensis,刘彬彬,2299,20150716,湖北省,2609,山坡杂木林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069896.jpg,,,,,,,,,, +陇东海棠,Malus kansuensis,"李良千,王忠涛,杜玉芬,卫然",170,20110909,甘肃省,2215~2250,山坡沟边林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914231.jpg,,,,,,,,,, +,Malus mandshurica,昌平队,98,20000811,北京市,500,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02026701.jpg,,,,,,,,,, +,Malus mandshurica,刘长江等,259,19570606,山东省,800,密林中 山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01811312.jpg,,,,,,,,,, +,Malus mandshurica,老铁山采集队,99,20080501,辽宁省,416,山顶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01807396.jpg,,,,,,,,,, +西府海棠,Malus micromalus,仁果,96,19620420,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093442.jpg,,,,,,,,,, +西府海棠,Malus micromalus,金德褔,10166,19370508,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839335.jpg,,,,,,,,,, +沧江海棠,Malus ombrophila,"董洪进,赵飞",WM-0462,20160517,云南省,1900,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090455.jpg,,,,,,,,,, +沧江海棠,Malus ombrophila,"李渤生,程树志",925,19820915,西藏自治区,2000,常绿阔叶林林缘时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075357.jpg,,,,,,,,,, +沧江海棠,Malus ombrophila,任再金,3921,19931022,四川省,2380,村边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651185.jpg,,,,,,,,,, +西蜀海棠,Malus prattii,"川西队,关克俭,王文采等",2105,19630829,四川省,2450,阴坡山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092384.jpg,,,,,,,,,, +西蜀海棠,Malus prattii,青藏队,6444,19820511,云南省,2900,山坡 沟边 杂木林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01147862.jpg,,,,,,,,,, +西蜀海棠,Malus prattii,,826,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00953199.jpg,,,,,,,,,, +,Malus prunifolia,云台山采集队,134,20080922,河南省,,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036667.jpg,,,,,,,,,, +,Malus prunifolia,D.E.Boufford,42934,20120812,,75,remnant natural forest along river with numerous and abundant naturalized species,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036462.jpg,,,,,,,,,, +,Malus prunifolia,田景全,44,19600420,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839236.jpg,,,,,,,,,, +,Malus pumila,何明友 谭仲明,117015,19830427,四川省,1200,庭园栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02095885.jpg,,,,,,,,,, +,Malus pumila,昌平队,173,20010504,北京市,400,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026564.jpg,,,,,,,,,, +,Malus pumila,,s.n.,,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810144.jpg,,,,,,,,,, +丽江山荆子,Malus rockii,罗建等,LuoJian-XZ-0933,20091005,西藏自治区,2905,林缘灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902765.jpg,,,,,,,,,, +丽江山荆子,Malus rockii,尹志坚等,2419,20090917,云南省,2850,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902144.jpg,,,,,,,,,, +三叶海棠,Malus sieboldii,刘彬彬,P1995-4,20140618,山东省,523,溪边杂木林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02071153.jpg,,,,,,,,,, +三叶海棠,Malus sieboldii,,101,19620819,广西壮族自治区,1100,草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983220.jpg,,,,,,,,,, +三叶海棠,Malus sieboldii,老铁山采集队,594,20080929,辽宁省,135,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902778.jpg,,,,,,,,,, +新疆野苹果,Malus sieversii,新疆农科所,s.n.,19630824,新疆维吾尔自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01608379.jpg,,,,,,,,,, +,Malus sikkimensis,PE西藏队,PE6293,20170911,西藏自治区,2445,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309841.jpg,,,,,,,,,, +,Malus sikkimensis,F.Ludlow et al.,16231,19490514,,2833,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01702100.jpg,,,,,,,,,, +海棠花,Malus spectabilis,石雷 林秦文,2011013,20110415,北京市,120,栽培乔木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112331.jpg,,,,,,,,,, +海棠花,Malus spectabilis,唐宇丹,,19980504,河北省,900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086859.jpg,,,,,,,,,, +变叶海棠,Malus toringoides,唐宇丹等,BM024,20061016,西藏自治区,3110,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061978.jpg,,,,,,,,,, +变叶海棠,Malus toringoides,巴山采集队,1683,20080714,重庆市,1927,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851096.jpg,,,,,,,,,, +长圆果花叶海棠,Malus transitoria var. centralasiatica,崔友文,5117,19510805,四川省,,山阳坡灌木林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00954000.jpg,,,,,,,,,, +长圆果花叶海棠,Malus transitoria var. centralasiatica,黄河调查队,8204,19560822,陕西省,1900,山坡北,,有花有果,https://image.cvh.ac.cn/files/l/PE/00953994.jpg,,,,,,,,,, +长圆果花叶海棠,Malus transitoria var. centralasiatica,R.C.Ching,724,19230803,甘肃省,3350~3900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00953983.jpg,,,,,,,,,, +,Malva pusilla,"Li Zhenyu,Jin Xiaohua,Tu Yanli etc.",T045,20160912,西藏自治区,2900,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233380.jpg,,,,,,,,,, +,Malva pusilla,Fumihiro Konta,23720,20031203,,60,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01968560.jpg,,,,,,,,,, +,Malva pusilla,"卞福花,宋言贺",BianFH-455,20150621,山东省,10,温带海滨灌草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1371466.jpg,,,,,,,,,, +,Malva verticillata var. verticillata,D.E.Boufford et al.,41571,20090731,西藏自治区,3510~3550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925190.jpg,,,,,,,,,, +野葵,Malva verticillata var. verticillata,青藏队,1052,19720723,青海省,3610,田边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0475091.jpg,,,,,,,,,, +野葵,Malva verticillata var. verticillata,字石生,72,20030608,云南省,2560,石岩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0138103.jpg,,,,,,,,,, +赛葵,Malvastrum coromandelianum,Joesph P.W.Woo & T.K.Woo,894,19721115,香港,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02111700.jpg,,,,,,,,,, +赛葵,Malvastrum coromandelianum,北京队,891109,19890511,广西壮族自治区,400,石山 公路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999995.jpg,,,,,,,,,, +赛葵,Malvastrum coromandelianum,C.M.Wang,5633,20020525,福建省,2,On roadside of exposed site,,有花有果,https://image.cvh.ac.cn/files/l/PE/01983352.jpg,,,,,,,,,, +茄参,Mandragora caulescens,"李渤生,程树志",5353,19830704,西藏自治区,3800,高山雪流边时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080943.jpg,,,,,,,,,, +茄参,Mandragora caulescens,青藏队,8731,19820726,云南省,3400,哑口附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190019.jpg,,,,,,,,,, +茄参,Mandragora caulescens,"郎楷永,李良千,费勇",4,19820604,四川省,3900,山坡 草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190018.jpg,,,,,,,,,, +西藏木莲,Manglietia caveana,李达孝、胡光时,23573,19950923,云南省 ,,,,,https://image.cvh.ac.cn/files/l/SZG/SZG00009389.jpg,,,,,,,,,, +西藏木莲,Manglietia caveana,李达孝,23321,19880416,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00007051.jpg,,,,,,,,,, +红色木莲,Manglietia insignis,北京队,894048,19890522,广西壮族自治区,1450,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01975839.jpg,,,,,,,,,, +红色木莲,Manglietia insignis,,,20080606,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01974134.jpg,,,,,,,,,, +红色木莲,Manglietia insignis,S.K.WU et al.,3311,19961003,云南省,2300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01974133.jpg,,,,,,,,,, +矮生豆列当,Mannagettaea hummelii,钟补求,86496,19580803,甘肃省,3300,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463668.jpg,,,,,,,,,, +矮生豆列当,Mannagettaea hummelii,钟补求,8649,19580803,青海省,3300,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463666.jpg,,,,,,,,,, +豆列当,Mannagettaea labiata,Harry Smith,4012,19220807,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032335.jpg,,,,,,,,,, +水丝麻,Maoutia puya,"刘杰,刘涛",liuj-10622,20100926,云南省,1284,河沟边,公路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062481.jpg,,,,,,,,,, +水丝麻,Maoutia puya,覃海宁等,1256,19980428,广西壮族自治区,800,山地山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985286.jpg,,,,,,,,,, +水丝麻,Maoutia puya,安顺队,243,19590710,贵州省,900,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846331.jpg,,,,,,,,,, +定心藤,Mappianthus iodoides,福建研究院,4455,19661103,福建省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02228750.jpg,,,,,,,,,, +定心藤,Mappianthus iodoides,卫兆芬,121538,19580904,广东省,,山地山谷瘠土,,有花有果,https://image.cvh.ac.cn/files/l/PE/02228751.jpg,,,,,,,,,, +扭连钱,Marmoritis complanatum,PE西藏考察队,7690,20180622,西藏自治区,5500,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332445.jpg,,,,,,,,,, +扭连钱,Marmoritis complanatum,陈家辉,王赟,刘德团等,YangYP-Q-3161,20100915,西藏,4800,流石滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1388824.jpg,,,,,,,,,, +褪色扭连钱,Marmoritis decolorans,魏来、郝加琛,15231,20150724,西藏,4714,山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0028008.jpg,,,,,,,,,, +褪色扭连钱,Marmoritis decolorans,西藏生物所植物组,160,19880726,西藏自治区,5000,高山冻石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0006414.jpg,,,,,,,,,, +,Marmoritis nivalis,PE西藏考察队,8041,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332590.jpg,,,,,,,,,, +雪地扭连钱,Marmoritis nivalis,魏来、郝加琛,15509,20150731,西藏,4900,路边山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0025932.jpg,,,,,,,,,, +大叶牛奶菜,Marsdenia koi,钟补求,6233,19531224,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01024852.jpg,,,,,,,,,, +大叶牛奶菜,Marsdenia koi,,s.n.,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01024850.jpg,,,,,,,,,, +大叶牛奶菜,Marsdenia koi,Y.Tsiang,12135B,19330000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01024848.jpg,,,,,,,,,, +墨脱牛奶菜,Marsdenia medogensis,李渤生,程树志,791,19820908,西藏自治区,2600,山地阔叶林中,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029534.jpg,,,,,,,,,, +喙柱牛奶菜,Marsdenia oreophila,D.E.Boufford et al.,33030,20050716,四川省,2500~2540,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916704.jpg,,,,,,,,,, +喙柱牛奶菜,Marsdenia oreophila,T.T.Yu,10404,19370921,云南省,2000,in forest,,无花无果,https://image.cvh.ac.cn/files/l/PE/01132942.jpg,,,,,,,,,, +牛奶菜,Marsdenia sinensis,何国生,9423,19990517,福建省,300,灌丛山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648086.jpg,,,,,,,,,, +牛奶菜,Marsdenia sinensis,江西调查队,2709,19541021,江西省,260,石灰山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01574636.jpg,,,,,,,,,, +牛奶菜,Marsdenia sinensis,北京队,920,19880602,湖南省,220~270,路边 灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01342714.jpg,,,,,,,,,, +狭花牛奶菜,Marsdenia stenantha,T.T.Yu,16995,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132933.jpg,,,,,,,,,, +狭花牛奶菜,Marsdenia stenantha,川经凉,3280,19590601,四川省,1000,老林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01024899.jpg,,,,,,,,,, +狭花牛奶菜,Marsdenia stenantha,E.E.Maire,3534,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0520779.jpg,,,,,,,,,, +蓝叶藤,Marsdenia tinctoria,北京队,894514,19890524,广西壮族自治区,650,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009401.jpg,,,,,,,,,, +蓝叶藤,Marsdenia tinctoria,吕胜由,16826,19850831,台湾省,400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883557.jpg,,,,,,,,,, +蓝叶藤,Marsdenia tinctoria,中苏云南联合考察团,79,19560000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01024961.jpg,,,,,,,,,, +,Mastersia assamica,孙航,周浙昆等,1542,19921124,西藏自治区,900,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0617094.jpg,,,,,,,,,, +盘果草,Mattiastrum himalayense,青藏队植被组,12928,19760701,西藏自治区,3100,碎屑坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01519068.jpg,,,,,,,,,, +盘果草,Mattiastrum himalayense,,,19840908,山西省,1700,,,无花无果,https://image.cvh.ac.cn/files/l/SSMM/0003045.jpg,,,,,,,,,, +琴叶通泉草,Mazus celsioides,罗建等,LuoJian-XZ-0928,20091002,西藏自治区,3330,灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913612.jpg,,,,,,,,,, +琴叶通泉草,Mazus celsioides,780植被组,401,19781114,云南省,2000,村旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486298.jpg,,,,,,,,,, +,Mazus humilis,覃海宁等,257,19980410,广西壮族自治区,210,山地,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010046.jpg,,,,,,,,,, +,Mazus humilis,George Forrest,21381,19220600,四川省,3333~3667,Moist clay meadows on the mountains,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480421.jpg,,,,,,,,,, +,Mazus humilis,George Forrest,21381,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01394723.jpg,,,,,,,,,, +,Mazus japonicus var. macrocalyx,红水河植物考察队,768,19890502,广西壮族自治区,200,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010035.jpg,,,,,,,,,, +,Mazus japonicus var. macrocalyx,青藏队,562,19810529,云南省,2250,黄土山坡荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01492023.jpg,,,,,,,,,, +,Mazus japonicus var. macrocalyx,傅坤俊,4549,19520614,陕西省,1650,路旁干地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01480339.jpg,,,,,,,,,, +莲座叶通泉草,Mazus lecomtei,管中天,7344,19590415,四川省,1580,山坡上部2/3,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480404.jpg,,,,,,,,,, +莲座叶通泉草,Mazus lecomtei,,5378,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01395017.jpg,,,,,,,,,, +莲座叶通泉草,Mazus lecomtei,张挺,张书东,郭永杰,李昌洪,13CS7560,20130525,西藏,2950,开旷潮湿坡地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1396065.jpg,,,,,,,,,, +,Mazus pumilus var. delavayi,周应再,Zhyz-244,20080614,云南省,2000,荒地上,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1383110.jpg,,,,,,,,,, +通泉草,Mazus pumilus var. pumilus,凌云普查队,4.51E+14,20130316,广西壮族自治区,896,阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI057263.jpg,,,,,,,,,, +通泉草,Mazus pumilus var. pumilus,"方鼎,刘达雨",22221,19760308,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI029714.jpg,,,,,,,,,, +丽江通泉草,Mazus rockii,王启无,70594,19350600,云南省,2500,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480400.jpg,,,,,,,,,, +丽江通泉草,Mazus rockii,滇黔桂区系队,40237,19910506,贵州省,850,石灰岩山坡灌丛,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1256091.jpg,,,,,,,,,, +西藏通泉草,Mazus surculosus,PE西藏考察队,7784,20180624,西藏自治区,3105,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332618.jpg,,,,,,,,,, +西藏通泉草,Mazus surculosus,李鸣冈,3067,19400402,云南省 ,0~1800,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0572870.jpg,,,,,,,,,, +皮刺绿绒蒿,Meconopsis aculeata,青藏队植被组,4051,19750619,西藏自治区,3900~4000,荡嘎村东南山东坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00051674.jpg,,,,,,,,,, +,Meconopsis aculeata,张大才,李双智,罗康,梁群,ZhangDC-07ZX-1240,20080731,西藏,5170,流石滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1234690.jpg,,,,,,,,,, +,Meconopsis aculeata,张大才,尹五元,李双智,丁文谦,何廷顺,侯雄辉,张明启,ZhangDC-07ZX-2309,20110925,四川,4638,流石滩,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1234691.jpg,,,,,,,,,, +白花绿绒蒿,Meconopsis argemonantha,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0709,20130808,西藏自治区,,多石草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000492.jpg,,,,,,,,,, +,Meconopsis argemonantha,"Ludlow, Frank: Sherriff, George & Taylor, George",5790,8-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00060630.jpg,,,,,,,,,, +久治绿绒蒿,Meconopsis barbiseta,D.E.Boufford et al.,34065,20050803,四川省,4785~4900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579608.jpg,,,,,,,,,, +,Meconopsis barbiseta,陈世龙,张得钧,高庆波等,ChenSL0375,20080808,青海,4040,河滩地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1234693.jpg,,,,,,,,,, +,Meconopsis barbiseta,果洛队,438,19710801,青海省,4400,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/25514.jpg,,,,,,,,,, +藿香叶绿绒蒿,Meconopsis betonicifolia,杨福生,s.n.,20090622,西藏自治区,3400,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053348.jpg,,,,,,,,,, +藿香叶绿绒蒿,Meconopsis betonicifolia,青藏队,4708,19810812,四川省,3400,田间路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02051131.jpg,,,,,,,,,, +椭果绿绒蒿,Meconopsis chelidoniifolia,鞠文彬,李蒙,AZH00107,20150711,四川省,1777,溪边林下,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0236575.jpg,,,,,,,,,, +,Meconopsis chelidoniifolia,"Bonvalot, P.G.E.",,,,,,,,https://image.cvh.ac.cn/files/l/P/P00739028.jpg,,,,,,,,,, +椭果绿绒蒿,Meconopsis chelidoniifolia,蔡杰,刘成,何谐,16CS11619,20160814,四川,1974,落叶阔叶林林下,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1435456.jpg,,,,,,,,,, +,Meconopsis concinna,,,20110626,云南省,3700~3800,Rooting in blackish soil among scattered shrubs on more or less south-facing slopes,,有花有果,https://image.cvh.ac.cn/files/l/PE/02051204.jpg,,,,,,,,,, +,Meconopsis concinna,G.Forrest,30113,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02051202.jpg,,,,,,,,,, +长果绿绒蒿,Meconopsis delavayi,北京所横断山,2120,19810728,云南省,4100~4200,高山草甸上部山谷常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050914.jpg,,,,,,,,,, +长果绿绒蒿,Meconopsis delavayi,George Forrest,30075,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050899.jpg,,,,,,,,,, +毛盘绿绒蒿,Meconopsis discigera,青藏队,5864,19750625,西藏自治区,4300,山坡岩石隙,,无花有果,https://image.cvh.ac.cn/files/l/PE/01050926.jpg,,,,,,,,,, +毛盘绿绒蒿,Meconopsis discigera,联大,21346,,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0492958.jpg,,,,,,,,,, +毛盘绿绒蒿,Meconopsis discigera,邓坤梅,陈永瑞等,81-1446,19810804,云南省,3500,高山,流石滩,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0492957.jpg,,,,,,,,,, +,Meconopsis florindae,"Kingdon-Ward, Frank",6038,2-Aug-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00060622.jpg,,,,,,,,,, +丽江绿绒蒿,Meconopsis forrestii,T.T.Yu,11601,19370607,云南省,3100,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01050937.jpg,,,,,,,,,, +丽江绿绒蒿,Meconopsis forrestii,T.T.Yu,6434,19370619,四川省,3800,under woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01050933.jpg,,,,,,,,,, +细梗绿绒蒿,Meconopsis gracilipes,西藏中草药普查队,1480,19720826,西藏自治区,3340,山洞处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01050928.jpg,,,,,,,,,, +大花绿绒蒿,Meconopsis grandis,"李渤生,程树志",5583,19830719,西藏自治区,3600,Abies林缘时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901217.jpg,,,,,,,,,, +大花绿绒蒿,Meconopsis grandis,张林、李星月、张晓严,1-154,20180612,西藏,3355,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023683.jpg,,,,,,,,,, +大花绿绒蒿,Meconopsis grandis,付筱,雷嘉卿,周雨阳,LJQ-A-013-040,20200921,四川,3382,路边,阳生或中生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02065709.jpg,,,,,,,,,, +多刺绿绒蒿,Meconopsis horridula,PE西藏队,PE5374,20170828,西藏自治区,4019,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02309702.jpg,,,,,,,,,, +多刺绿绒蒿,Meconopsis horridula,郭柯,K-53,19900624,青海省,5100,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099580.jpg,,,,,,,,,, +多刺绿绒蒿,Meconopsis horridula,236 四川任务组,139,19720728,四川省,800,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02085001.jpg,,,,,,,,,, +滇西绿绒蒿,Meconopsis impedita,George Forrest,30100,19310000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050863.jpg,,,,,,,,,, +滇西绿绒蒿,Meconopsis impedita,George Forrest,30097,19310000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050861.jpg,,,,,,,,,, +全缘叶绿绒蒿,Meconopsis integrifolia,PE西藏考察队,8063,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332939.jpg,,,,,,,,,, +全缘叶绿绒蒿,Meconopsis integrifolia,,13293,19760729,四川省,4000,草甸中的一团高山栎中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02057195.jpg,,,,,,,,,, +全缘叶绿绒蒿,Meconopsis integrifolia,何延宏,1096,19890722,青海省,3900~4100,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02057194.jpg,,,,,,,,,, +长叶绿绒蒿,Meconopsis lancifolia,青藏队,12186,19830721,四川省,3600,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050820.jpg,,,,,,,,,, +长叶绿绒蒿,Meconopsis lancifolia,G.Forrest,30106,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050817.jpg,,,,,,,,,, +长叶绿绒蒿,Meconopsis lancifolia,青藏队,303,19810602,云南省,3800,林科草-小叶杜鹃柳,小草地-灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050818.jpg,,,,,,,,,, +琴叶绿绒蒿,Meconopsis lyrata,西藏中草药普查队,617,19720629,西藏自治区,3650,山谷灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01051485.jpg,,,,,,,,,, +琴叶绿绒蒿,Meconopsis lyrata,K.M.Feng,6213,19400801,云南省,3800~4200,岩坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01051484.jpg,,,,,,,,,, +琴叶绿绒蒿,Meconopsis lyrata,G.Forrest,26939,1924,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0132355.jpg,,,,,,,,,, +锥花绿绒蒿,Meconopsis paniculata,吴征镒等,75-635,19750705,西藏自治区,3850,高山水沟边大石边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01051521.jpg,,,,,,,,,, +锥花绿绒蒿,Meconopsis paniculata,,75-778,19750722,云南省,3300~3800,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01051508.jpg,,,,,,,,,, +吉隆绿绒蒿,Meconopsis pinnatifolia,FLPH Tibet Expedition,12-0351,20120909,西藏自治区,4400,灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967590.jpg,,,,,,,,,, +吉隆绿绒蒿,Meconopsis pinnatifolia,魏来、郝加琛,15333,20150728,西藏,3977,路边山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0025918.jpg,,,,,,,,,, +,Meconopsis pseudohorridula,,5902,19830727,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02051055.jpg,,,,,,,,,, +,Meconopsis pseudohorridula,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-1013,20080723,西藏,5307,高山流石滩,直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1300688.jpg,,,,,,,,,, +拟多刺绿绒蒿,Meconopsis pseudohorridula,郭先林、贾圣斌,2041332,20200721,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02041332.jpg,,,,,,,,,, +拟秀丽绿绒蒿,Meconopsis pseudovenusta,"程树志,李渤生",97,19820815,西藏自治区,4000~4250,高山岩石隙中叶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02051056.jpg,,,,,,,,,, +拟秀丽绿绒蒿,Meconopsis pseudovenusta,北京新横断山队,3626,19810824,云南省,4150~4400,高山流石滩多见,高山灌丛草甸也多见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050812.jpg,,,,,,,,,, +红花绿绒蒿,Meconopsis punicea,"张经炜,孙世洲",164,19720814,青海省,3700,祁连山南侧前山,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060216.jpg,,,,,,,,,, +红花绿绒蒿,Meconopsis punicea,"杨福生,赵朝",s.n.,20100620,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053346.jpg,,,,,,,,,, +红花绿绒蒿,Meconopsis punicea,,B0227,19570622,甘肃省,2700,河边路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02051097.jpg,,,,,,,,,, +五脉绿绒蒿,Meconopsis quintuplinervia,杨福生,s.n.,20090824,青海省,3457~4000,草地,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053343.jpg,,,,,,,,,, +五脉绿绒蒿,Meconopsis quintuplinervia,Harry Smith,3173,19220809,四川省,7500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02051234.jpg,,,,,,,,,, +五脉绿绒蒿,Meconopsis quintuplinervia,陈学林等,92338,19920713,甘肃省,2900,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02051233.jpg,,,,,,,,,, +,Meconopsis racemosa var. racemosa,郭本兆,21262,1977/7/12,四川省,3800,,草木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0344257.jpg,,,,,,,,,, +,Meconopsis racemosa var. racemosa,郭本兆,21603,1977/7/16,西藏自治区,,,草木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0344349.jpg,,,,,,,,,, +,Meconopsis racemosa var. racemosa,何廷农,381,1965/7/31,青海省,3900,,草木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0290423.jpg,,,,,,,,,, +刺瓣绿绒蒿,Meconopsis racemosa var. spinulifera,黄治平,罗正远,蒋卓然,468,1930/6/27,四川省,,,草木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0316440.jpg,,,,,,,,,, +单叶绿绒蒿,Meconopsis simplicifolia,PE西藏考察队,7317,20180615,西藏自治区,4154~4259,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332942.jpg,,,,,,,,,, +贡山绿绒蒿,Meconopsis smithiana,青藏队,8346,19820722,云南省,3700,垭口水沟边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821024.jpg,,,,,,,,,, +贡山绿绒蒿,Meconopsis smithiana,F.T.Wang,22029,19300000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00324234.jpg,,,,,,,,,, +美丽绿绒蒿,Meconopsis speciosa,青藏队,2683,19510712,云南省,4650,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050567.jpg,,,,,,,,,, +美丽绿绒蒿,Meconopsis speciosa,"程树志,李渤生",97,19820815,西藏自治区,4000~4250,高山岩石隙中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050566.jpg,,,,,,,,,, +,Meconopsis superba,Dungboo,280,16 June 1884,,,,,,https://image.cvh.ac.cn/files/l/E/E00060629.jpg,,,,,,,,,, +毛瓣绿绒蒿,Meconopsis torquata,青藏队,74-3091,19740905,西藏自治区,3800,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01051655.jpg,,,,,,,,,, +秀丽绿绒蒿,Meconopsis venusta,北京横断山队,2853,19810810,云南省,3900~4100,冷杉林上部高山流石滩上偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057183.jpg,,,,,,,,,, +秀丽绿绒蒿,Meconopsis venusta,G.Forrest,30114,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050574.jpg,,,,,,,,,, +紫花绿绒蒿,Meconopsis violacea,西藏中草药普查队,286,19720616,西藏自治区,3200,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/29992.jpg,,,,,,,,,, +紫花绿绒蒿,Meconopsis violacea,刘博,迪巢树德,王晓艳等,NJ58,20180727,云南,2800-3000,高山草甸,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00042899.jpg,,,,,,,,,, +藏南绿绒蒿,Meconopsis zangnanensis,吴征镒,陈书坤,杜庆等,960,19750718,西藏自治区,4300~4500,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0493753.jpg,,,,,,,,,, +青海苜蓿,Medicago archiducis-nicolaii,高云东,鞠文彬,杨焰,THP-KD-1929,20170717,四川,3400~3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244566.jpg,,,,,,,,,, +青海苜蓿,Medicago archiducis-nicolaii,甘南草原调查队,361,19640712,甘肃,~3320,潮湿滩地,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0091440.jpg,,,,,,,,,, +青海苜蓿,Medicago archiducis-nicolaii,朱格鳞,840,19570712,青海,~,河岸草地,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0091441.jpg,,,,,,,,,, +,Medicago edgeworthii,PE西藏考察队,7779,20180624,西藏自治区,3105,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333770.jpg,,,,,,,,,, +,Medicago edgeworthii,"何兴金,胡灏禹,沈呈娟,万娟",SCU-11-439,20110907,四川省,3956,路,牧场,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1323382.jpg,,,,,,,,,, +野苜蓿,Medicago falcata,陈全胜,CF14-4292,20180705,内蒙古自治区,1180,河漫滩草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246750.jpg,,,,,,,,,, +野苜蓿,Medicago falcata,贾慎修,60,19560707,新疆维吾尔自治区,700,微湿润,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101098.jpg,,,,,,,,,, +野苜蓿,Medicago falcata,Otto R.Holmaerg.,s.n.,19000721,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063773.jpg,,,,,,,,,, +天蓝苜蓿,Medicago lupulina,PE西藏考察队,7530,20180619,西藏自治区,3270,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333771.jpg,,,,,,,,,, +天蓝苜蓿,Medicago lupulina,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",731,20021107,云南省,2430,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111808.jpg,,,,,,,,,, +天蓝苜蓿,Medicago lupulina,"川西队,关克俭,王文采等",关王42,19630714,四川省,2550,河谷山坡路边草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092975.jpg,,,,,,,,,, +,Medicago ruthenica,段长虹,Dch0155,20140630,山西省,1539,土石山,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043551.jpg,,,,,,,,,, +,Medicago ruthenica,"石硕,祝东立,祝振清",SZ3664,20140806,河北省,1206,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031831.jpg,,,,,,,,,, +,Medicago ruthenica,傅德志等,114,20070720,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022477.jpg,,,,,,,,,, +,Medicago sativa,PE西藏队,PE5571,20170901,西藏自治区,4235,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330373.jpg,,,,,,,,,, +,Medicago sativa,贾慎修,56,19560707,新疆维吾尔自治区,700,微湿、深厚土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101101.jpg,,,,,,,,,, +,Medicago sativa,F.J.Ojcerberg,33,18851018,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064439.jpg,,,,,,,,,, +沙巴酸脚杆,Medinilla petelotii,"李渤生,程树志等",4503,19830506,西藏自治区,1500,Alnus树上时见藤本,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932562.jpg,,,,,,,,,, +沙巴酸脚杆,Medinilla petelotii,吴征镒等,347,19641211,,1610~1660,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01653175.jpg,,,,,,,,,, +,Medinilla rubicunda,青藏队,74-4405,19740820,西藏自治区,1750,山坡阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00783423.jpg,,,,,,,,,, +,Medinilla rubicunda,George Forrest,24505,19240000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00783413.jpg,,,,,,,,,, +,Meeboldia achilleifolia,"张永田,郞楷永",1298,19650803,西藏自治区,3100,水沟边草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00758787.jpg,,,,,,,,,, +蓍叶滇芹,Meeboldia achilleifolia,张七,ZQ6388,20120824,湖北神农架,,山坡林下,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU58956.jpg,,,,,,,,,, +蓍叶滇芹,Meeboldia achilleifolia,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,114,20120725,西藏,,灌丛下,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230728.jpg,,,,,,,,,, +,Meeboldia yunnanensis,邱炳云,54944,19570823,云南省,,山坡草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758783.jpg,,,,,,,,,, +藏香叶芹,Meeboldia yunnanensis,四川省植被调查队,2557,19730818,四川省,3500,向阳灌丛草坡中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0463250.jpg,,,,,,,,,, +藏香叶芹,Meeboldia yunnanensis,夏光成,米泰康,397,19600903,西藏自治区,0,田野山间向阳处,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0463271.jpg,,,,,,,,,, +华西龙头草,Meehania fargesii,Chen Zhi Duan et al.,960691,19960529,重庆市,1610~1710,mesic valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916050.jpg,,,,,,,,,, +华西龙头草,Meehania fargesii,向春雷,60,20080526,云南省,2200,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885372.jpg,,,,,,,,,, +华西龙头草,Meehania fargesii,白水江采集队,3384,20070421,甘肃省,1500,山坡杂木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880152.jpg,,,,,,,,,, +高河菜,Megacarpaea delavayi,"郎楷永,李良千,费勇",1768,19830613,四川省,3200~3400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998108.jpg,,,,,,,,,, +高河菜,Megacarpaea delavayi,赵致光,30325,19390628,云南省,,岩子上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01125046.jpg,,,,,,,,,, +大果高河菜,Megacarpaea megalocarpa,,2062,,新疆维吾尔自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01125081.jpg,,,,,,,,,, +大果高河菜,Megacarpaea megalocarpa,D.Janischevsky,s.n.,19170420,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01125082.jpg,,,,,,,,,, +,Megacarpaea polyandra,张永洪,李国栋,王晓雄,SunH-07ZX-2220,20081003,四川,4696,高山灌丛,草甸,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1236277.jpg,,,,,,,,,, +大钟花,Megacodon stylophorus,PE-西藏队,2607,20130706,西藏自治区,4017,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328593.jpg,,,,,,,,,, +大钟花,Megacodon stylophorus,,2090,19590705,河北省,1900,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/02105660.jpg,,,,,,,,,, +大钟花,Megacodon stylophorus,广西金沙江队,4198,19630531,云南省,3700,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02105659.jpg,,,,,,,,,, +双果荠,Megadenia pygmaea,钟态序,231,19910729,甘肃省,2200,沟边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604743.jpg,,,,,,,,,, +双果荠,Megadenia pygmaea,吴玉虎等,4702,19900726,青海省,3380,岩下空隙处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350795.jpg,,,,,,,,,, +双果荠,Megadenia pygmaea,,7443,19740712,四川省,3700,云杉林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01125089.jpg,,,,,,,,,, +滇川山罗花,Melampyrum klebelsbergianum,"H.Li,S.X.Yang,R.Li etc.",377,20020816,云南省,2550,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115716.jpg,,,,,,,,,, +滇川山罗花,Melampyrum klebelsbergianum,,2-Sep,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01395452.jpg,,,,,,,,,, +喜马拉雅女娄菜,Melandrium apetalum var. himalayense,S.G.Wu; Y.H.Wu; Y.Fei,3926,19880807,新疆维吾尔自治区 ,3950,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/149466.jpg,,,,,,,,,, +喜马拉雅女娄菜,Melandrium apetalum var. himalayense,吴玉虎等,6624,19900816,青海省,3350,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/160924.jpg,,,,,,,,,, +喜马拉雅女娄菜,Melandrium apetalum var. himalayense,西藏中草药普查队,3880,19720726,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/30627.jpg,,,,,,,,,, +,Melandrium apetalum var. pallidum,不祥,129,19820722,青海省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/103815.jpg,,,,,,,,,, +,Melandrium apetalum var. pallidum,吴征缢、陈书坤、杜庆、庐树林,75-477,19750702,西藏自治区,5000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/53545.jpg,,,,,,,,,, +,Melandrium asclepiadeum,李延辉等,422,19871023,云南省,3000,山坡潮湿,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1265551.jpg,,,,,,,,,, +掌脉女娄菜,Melandrium asclepiadeum,不祥,1470,19720824,西藏自治区,2700,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/30700.jpg,,,,,,,,,, +掌脉女娄菜,Melandrium asclepiadeum,张泽荣,周洪富,22568,19570705,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00219882.jpg,,,,,,,,,, +,Melandrium fimbriatum,蒙宁队,1245,19620723,内蒙古自治区,,黑沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01533907.jpg,,,,,,,,,, +,Melandrium fimbriatum,生态室高原组,15605,19800917,西藏自治区,4100,林缘石隙,常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01268458.jpg,,,,,,,,,, +六瓣女娄菜,Melandrium glandulosum var. hexapetalum,不祥,00555A,19640721,青海省,4250,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0219310.jpg,,,,,,,,,, +,Melandrium glandulosum var. longistylum,刘尚武,215,19650724,青海省,4500,河滩山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00046964.jpg,,,,,,,,,, +,Melandrium glandulosum var. longistylum,西藏中草药普查队,4327,19720819,西藏自治区,4000,柳灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00046963.jpg,,,,,,,,,, +,Melandrium glandulosum var. longistylum,杨永昌,1392,19650725,,4200,山坡 ,,有花无果,https://image.cvh.ac.cn/files/l/PE/00046968.jpg,,,,,,,,,, +,Melandrium lhassanum,"李渤生,李辉,阳艺",13428,19900903,西藏自治区,3200,亚高山 次生灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486969.jpg,,,,,,,,,, +拉萨女娄菜,Melandrium lhassanum,陈晓澄等,6639,20140812,西藏,2874,混合林下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00024539.jpg,,,,,,,,,, +线叶女娄菜,Melandrium linearifolium,"张永田,郞楷永",4302,19660620,西藏自治区,4400,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040479.jpg,,,,,,,,,, +女娄菜属,Melandrium linearifolium,西藏生物所植物组,208,19880730,西藏,4550,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001463.jpg,,,,,,,,,, +,Melandrium namlaense,青藏科考队,7863,19750915,西藏自治区,3600,阳坡 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268468.jpg,,,,,,,,,, +,Melandrium nangqenensis,田新民,朱洪涛,LiuJQ-QLS-TXM-139,20080906,青海,4404,温带高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1239812.jpg,,,,,,,,,, +,Melandrium nangqenensis,不祥,00123A,19640620,青海省,4200,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0219315.jpg,,,,,,,,,, +,Melandrium nangqenensis,青藏补点,751068,19750802,西藏自治区,4360,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/51686.jpg,,,,,,,,,, +,Melandrium napuligerum,青藏队植被组,37,19740618,四川省,3400,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00047878.jpg,,,,,,,,,, +,Melandrium napuligerum,青藏队植被组,8335,19760609,云南省,2150,路边 ,,有花无果,https://image.cvh.ac.cn/files/l/PE/00046931.jpg,,,,,,,,,, +,Melandrium napuligerum,青藏队植被组,2611,19740810,西藏自治区,3800,小溪边 ,,有花无果,https://image.cvh.ac.cn/files/l/PE/00046981.jpg,,,,,,,,,, +,Melandrium nigrescens,北京所横断山队,3634,19810824,云南省,4150~4400,高山灌丛草甸 流石滩冲时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268470.jpg,,,,,,,,,, +,Melandrium nigrescens,西藏中草药普查队,1553,19720827,西藏自治区,3800,河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040461.jpg,,,,,,,,,, +垂花女娄菜,Melandrium nutans,魏来,郝加琛,15413,20150728,西藏自治区,3977,路边山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0030419.jpg,,,,,,,,,, +普兰女娄菜,Melandrium puranense,青藏队,76-8241,19760719,西藏自治区,5000,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/58834.jpg,,,,,,,,,, +普兰女娄菜,Melandrium puranense,张书东,何华杰,81167,20080916,西藏,2720,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1439115.jpg,,,,,,,,,, +,Melandrium viscidulum,青藏队植被组,1871,19740714,西藏自治区,3900,山坡 ,,有花无果,https://image.cvh.ac.cn/files/l/PE/00047881.jpg,,,,,,,,,, +黏毛瓦草,Melandrium viscidulum,刘卓斌,259,19310212,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00219981.jpg,,,,,,,,,, +四川粘毛女娄菜,Melandrium viscidulum,王启无,64292,19350700,云南省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0120995.jpg,,,,,,,,,, +,Melandrium xainzaense,陶德定等,10736,19760727,西藏自治区,4600,沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040467.jpg,,,,,,,,,, +,Melandrium zhongbaense,"李渤生,李辉,多吉次旦",13099,19900815,西藏自治区,4800,高山 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486960.jpg,,,,,,,,,, +仲巴女娄菜,Melandrium zhongbaense,陈晓澄等,6010A,20140806,西藏,3312,灌木林山阳坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023975.jpg,,,,,,,,,, +,Melanoseris cyanea,FLPH Tibet Expedition,12-1971,,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017890.jpg,,,,,,,,,, +,Melanoseris cyanea,中甸队,1126,19620824,云南省,3100,松栎林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106479.jpg,,,,,,,,,, +黑苞毛鳞菊,Melanoseris lessertiana,张挺,刘成,何华杰,19CS18726,20190910,西藏,4452,高山灌草丛,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1505995.jpg,,,,,,,,,, +,Melanoseris likiangensis,Norbert Kilian etc.,10808,20120823,四川省,2700,steep slope with secondary grassy and herbaceous vegetation,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252715.jpg,,,,,,,,,, +缘毛毛鳞菊,Melanoseris macrantha,"张挺, 刘成, 亚吉东",18CS17681,20180916,西藏,3576,西藏冷杉,垂枝柏林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486560.jpg,,,,,,,,,, +,Melanoseris macrantha,高云东,邓亨宁,黎怀成,THP-KD-2024,20170804,四川省,2800~3000,库西绒村,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251606.jpg,,,,,,,,,, +,Melanoseris macrantha,高云东,邓亨宁,黎怀成,THP-KD-2024,20170804,四川,2800~3000,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251605.jpg,,,,,,,,,, +,Melanoseris macrorhiza,青藏队,2484,19740914,西藏自治区,4040,山坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106675.jpg,,,,,,,,,, +头嘴菊,Melanoseris macrorhiza,"刘成, 亚吉东, 迟建才",15CS10162,20150611,新疆,,路上方草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375944.jpg,,,,,,,,,, +,Melica kozlovii,青甘调查队,1240,19590807,青海省,3830,山坡 ,,无花无果,https://image.cvh.ac.cn/files/l/PE/00037075.jpg,,,,,,,,,, +,Melica kozlovii,青甘队,3073,19600728,甘肃省,2800,林缘山谷阴阳处,,无花无果,https://image.cvh.ac.cn/files/l/PE/00037073.jpg,,,,,,,,,, +小野臭草,Melica onoei,"老铁山采集队 孙英宝,王小平,刘冰,林希震,张学伟,张敬莉",622,20080930,辽宁省,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089791.jpg,,,,,,,,,, +小野臭草,Melica onoei,Liu Yanchun,319,20100828,贵州省,1776,on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088437.jpg,,,,,,,,,, +小野臭草,Melica onoei,张寿洲等,806,20130925,四川省,,土生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01990541.jpg,,,,,,,,,, +勃氏臭草,Melica przewalskyi,刘尚武,508,19650823,青海省,3900,沟边灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076589.jpg,,,,,,,,,, +勃氏臭草,Melica przewalskyi,孙学刚等,20010445,20010820,甘肃省,2600,山坡灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855711.jpg,,,,,,,,,, +勃氏臭草,Melica przewalskyi,赵常明,EX0003,20070828,湖北省,1700,华山松人工林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855104.jpg,,,,,,,,,, +细叶臭草,Melica radula,黄河队,6470,19560518,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094596.jpg,,,,,,,,,, +细叶臭草,Melica radula,黄河队,8843,19560920,甘肃省,1650,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094593.jpg,,,,,,,,,, +细叶臭草,Melica radula,黄土高原采集队,2884,19940728,山西省,2000,山坡草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01951042.jpg,,,,,,,,,, +,Melica scaberrima,滇西北金沙江队,6630,19630822,云南省,2900,常绿栎林下溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00036710.jpg,,,,,,,,,, +糙臭草,Melica scaberrima,唐廷贵 马春龙,,19860000,天津市,,,,无花有果,https://image.cvh.ac.cn/files/l/NKU/NK 010479.jpg,,,,,,,,,, +臭草,Melica scabrosa,黄河队,8310,19560827,陕西省,1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094595.jpg,,,,,,,,,, +臭草,Melica scabrosa,老铁山采集队,164,20080504,辽宁省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089807.jpg,,,,,,,,,, +臭草,Melica scabrosa,高万里,258,19650904,甘肃省,2300,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088914.jpg,,,,,,,,,, +,Melica schuetzeana,,9444,19750719,四川省,3000,路旁林边 ,,有花无果,https://image.cvh.ac.cn/files/l/PE/00036610.jpg,,,,,,,,,, +,Melica schuetzeana,青藏队植被组,9613,19760820,西藏自治区,3800,山坡草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00036609.jpg,,,,,,,,,, +,Melica secunda,,769,19640826,青海省,3800,阳坡草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469346.jpg,,,,,,,,,, +,Melica secunda,"张永田,郞楷永",256,19650708,西藏自治区,3300,山坡上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00036611.jpg,,,,,,,,,, +偏穗臭草,Melica secunda,郭本兆 王为义,21463,19770712,四川省,3300,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/152270.jpg,,,,,,,,,, +,Melica tangutorum,巴山采集队,3042,20100721,四川省,695,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066150.jpg,,,,,,,,,, +,Melica tangutorum,巴山采集队,3296,20100722,陕西省,1201,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066148.jpg,,,,,,,,,, +,Melica taylori,陶德定,11296,19760906,西藏自治区,8000,云杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01401855.jpg,,,,,,,,,, +抱草,Melica virgata,黄河二队,2973,19551004,山西省,1000,山坡阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094568.jpg,,,,,,,,,, +抱草,Melica virgata,于兆英,2229,19810904,内蒙古自治区,2200,沟谷草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01951047.jpg,,,,,,,,,, +三脚龟,Melicope pteleifolia,"张志耘,谢磊,张强",2015-173,20150505,广西壮族自治区,280~300,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064715.jpg,,,,,,,,,, +三脚龟,Melicope pteleifolia,Ming-Jer Jung,2758,20080429,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01983749.jpg,,,,,,,,,, +三脚龟,Melicope pteleifolia,刘恩德等,2431,20100330,云南省,1200,"limestone,in forest",,有花有果,https://image.cvh.ac.cn/files/l/PE/01923861.jpg,,,,,,,,,, +白花草木樨,Melilotus albus,PE西藏队,PE5028,20170824,西藏自治区,3522,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330358.jpg,,,,,,,,,, +白花草木樨,Melilotus albus,"陈又生,袁慊,徐连升等",141350,20140804,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040854.jpg,,,,,,,,,, +白花草木樨,Melilotus albus,"石硕,祝东立,祝振清",SZ3752,20140808,河北省,1340,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038191.jpg,,,,,,,,,, +,Melilotus dentatus,石硕,SZ3617,20140722,河北省,1195,水边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031584.jpg,,,,,,,,,, +,Melilotus dentatus,M.Korotkij et al,s.n.,19130814,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01925605.jpg,,,,,,,,,, +细齿草木樨,Melilotus dentatus,徐钦胜,81,19810814,辽宁省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0187289.jpg,,,,,,,,,, +,Melilotus indicus,PE西藏队,PE5002,20170824,西藏自治区,3522,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02309796.jpg,,,,,,,,,, +,Melilotus indicus,川黔队,401,19560604,重庆市,750,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083744.jpg,,,,,,,,,, +,Melilotus indicus,Harald Fries,4,19210708,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040818.jpg,,,,,,,,,, +黄香草木樨,Melilotus officinalis,PE西藏考察队,7008,20180608,西藏自治区,3892,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333782.jpg,,,,,,,,,, +黄香草木樨,Melilotus officinalis,张文花,67,20030620,湖南省,180,山坡 红壤 光中 湿度中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233612.jpg,,,,,,,,,, +黄香草木樨,Melilotus officinalis,周口店考察队,218,20080927,北京市,218,草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112239.jpg,,,,,,,,,, +,Meliosma alba,E.H.Wilson,258,19070500,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01378251.jpg,,,,,,,,,, +珂楠树,Meliosma alba,,7,19780626,,1450,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0410950.jpg,,,,,,,,,, +珂楠树,Meliosma alba,刀志灵,DZL4131,20151031,云南省,1620,林中,,,https://image.cvh.ac.cn/files/l/KUN/1272271.jpg,,,,,,,,,, +南亚泡花树,Meliosma arnottiana,北京队,894044,19890522,广西壮族自治区,1450,密林山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999359.jpg,,,,,,,,,, +南亚泡花树,Meliosma arnottiana,青藏队,9269,19820812,云南省,1400,山坡常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820382.jpg,,,,,,,,,, +南亚泡花树,Meliosma arnottiana,"李渤生,程树志",4897,19830528,西藏自治区,850,半常绿雨林下时见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495386.jpg,,,,,,,,,, +,Meliosma cuneifolia var. cuneifolia,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11870,20161113,西藏,1641,中山湿性常绿阔叶林林缘路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444965.jpg,,,,,,,,,, +,Meliosma cuneifolia var. cuneifolia,"蔡杰, 亚吉东, 李昌洪",17CS15137,20170509,云南,2266,常绿阔叶林林中,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445351.jpg,,,,,,,,,, +光叶泡花树,Meliosma cuneifolia var. glabriuscula,红水河植物考察队,2431,19890621,云南省,2200,次生灌丛内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999355.jpg,,,,,,,,,, +光叶泡花树,Meliosma cuneifolia var. glabriuscula,巴山采集队,5487,20110711,四川省,1520,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01872896.jpg,,,,,,,,,, +光叶泡花树,Meliosma cuneifolia var. glabriuscula,武陵队,72,19880608,湖南省,600,山地 山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01561340.jpg,,,,,,,,,, +重齿泡花树,Meliosma dilleniifolia,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0781,20130808,西藏自治区,,山谷混交林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992953.jpg,,,,,,,,,, +重齿泡花树,Meliosma dilleniifolia,F.Miyamoto et al.,9592542,19950901,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01932273.jpg,,,,,,,,,, +灌丛泡花树,Meliosma dumicola,生态室高原组,11475,19800729,西藏自治区,1800,常绿林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495394.jpg,,,,,,,,,, +灌丛泡花树,Meliosma dumicola,G.Forrest,7850,19120500,云南省,2333,on and amongst scrub,,无花有果,https://image.cvh.ac.cn/files/l/PE/01378633.jpg,,,,,,,,,, +灌丛泡花树,Meliosma dumicola,F.A.McClure,9438,,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0426351.jpg,,,,,,,,,, +泸水泡花树,Meliosma mannii,刘伦辉,王守玉,,20031000,云南省,0,,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0195496.jpg,,,,,,,,,, +泸水泡花树,Meliosma mannii,无,2030,,云南省 ,0,,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0195492.jpg,,,,,,,,,, +,Meliosma pinnata,青藏队植被组,2986,19740901,西藏自治区,1040,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839703.jpg,,,,,,,,,, +,Meliosma pinnata,E.H.Wilson,3038,19070600,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01379066.jpg,,,,,,,,,, +西南泡花树,Meliosma thomsonii,北京队,894428,19890524,广西壮族自治区,600,草沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999331.jpg,,,,,,,,,, +西南泡花树,Meliosma thomsonii,青藏队,9475,19820822,云南省,1500,山坡常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820377.jpg,,,,,,,,,, +西南泡花树,Meliosma thomsonii,陈钱根,L8514188,19870625,浙江省,150,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612793.jpg,,,,,,,,,, +暖木,Meliosma veitchiorum,广西调查队,709,195306,广西壮族自治区,,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999326.jpg,,,,,,,,,, +暖木,Meliosma veitchiorum,龙茹,90188,20090509,湖北省,1350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989452.jpg,,,,,,,,,, +暖木,Meliosma veitchiorum,河南队,2379,19600827,河南省,,山谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01974529.jpg,,,,,,,,,, +,Meliosma wallichii,中苏队,8268,19570504,云南省,870~940,山谷阳处灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079832.jpg,,,,,,,,,, +,Meliosma wallichii,青藏队,8119,19820718,云南,1900~2000,常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820413.jpg,,,,,,,,,, +云南泡花树,Meliosma yunnanensis,林秦文,2013-198,20130601,云南省,1750~2300,峡谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038155.jpg,,,,,,,,,, +云南泡花树,Meliosma yunnanensis,中日考察队,T383,19900607,西藏自治区,2200,半阴坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01379286.jpg,,,,,,,,,, +蜜蜂花,Melissa axillaris,South Tibet Exp.Team (Jin Xiaohua etc.),STET2927,20100814,西藏自治区,2400,evergreen-decidous forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328274.jpg,,,,,,,,,, +蜜蜂花,Melissa axillaris,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET2106,20080706,云南省,2300,evergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328273.jpg,,,,,,,,,, +黄蜜蜂花,Melissa flava,"张永田,郞楷永",3216,19660505,西藏自治区,1800,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00787734.jpg,,,,,,,,,, +黄蜜蜂花,Melissa flava,,728,19590802,江苏省,2850,林下小湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00787688.jpg,,,,,,,,,, +云南蜂花,Melissa yunnanensis,"洪德元,马欣堂,王强",H12022,20120805,西藏自治区,3500,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328280.jpg,,,,,,,,,, +云南蜂花,Melissa yunnanensis,H.T.Tsai,58356,19340904,云南省,3200,in forest,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00031252.jpg,,,,,,,,,, +云南蜜蜂花,Melissa yunnanensis,H.T.Tsai,58356,19340904,云南省 ,0~3200,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0583273.jpg,,,,,,,,,, +马松子,Melochia corchorifolia,广西调查队,2925,195307,广西壮族自治区,,山田,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000024.jpg,,,,,,,,,, +马松子,Melochia corchorifolia,黄建益等,2857,20060906,台湾省,650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01923867.jpg,,,,,,,,,, +马松子,Melochia corchorifolia,T.Miyazaki,1011069,20101027,,10~20,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880242.jpg,,,,,,,,,, +天蓝谷木,Memecylon caeruleum,张永丽,C250278,20080826,云南省,570,综合二区,,,https://image.cvh.ac.cn/files/l/HITBC/0020761.jpg,,,,,,,,,, +天蓝谷木,Memecylon caeruleum,岩罕香、张文富,ZhangWF177,20210213,云南,712,热带季节雨林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1509606.jpg,,,,,,,,,, +假薄荷,Mentha asiatica,"胡国雄,石松林,付志玺,毕延超",1209048,20120911,西藏自治区,3315,Dry Hot Valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/02079467.jpg,,,,,,,,,, +假薄荷,Mentha asiatica,"李振宇,范晓虹,傅连中等",12415,20120729,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005333.jpg,,,,,,,,,, +假薄荷,Mentha asiatica,李慧,GFN007,20100712,北京市,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/01884239.jpg,,,,,,,,,, +薄荷,Mentha canadensis,赵常明,EX0655,20070909,湖北省,530,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02047066.jpg,,,,,,,,,, +薄荷,Mentha canadensis,刘正宇,180572,20070929,重庆市,180,溪边 沙滩 草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02047064.jpg,,,,,,,,,, +薄荷,Mentha canadensis,"石硕,梁文达",SZ4238,20141006,河北省,1104,草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036134.jpg,,,,,,,,,, +睡菜,Menyanthes trifoliata,"武玉东,郭治友",Wu 110,19160615,吉林省,1400,湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115603.jpg,,,,,,,,,, +睡菜,Menyanthes trifoliata,"李渤生,程树志",749,19820907,西藏自治区,3650,冷杉林间沼泽建群种,,有花无果,https://image.cvh.ac.cn/files/l/PE/02103257.jpg,,,,,,,,,, +睡菜,Menyanthes trifoliata,,,19280509,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02090486.jpg,,,,,,,,,, +山靛,Mercurialis leiocarpa,"税玉民,陈文红,盛家舒等",20513,20020325,云南省,1890,on roadsides on the upper of hills,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239656.jpg,,,,,,,,,, +山靛,Mercurialis leiocarpa,T.Miyazaki,9803001,19980313,,10~30,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923762.jpg,,,,,,,,,, +山靛,Mercurialis leiocarpa,植物所三峡考察队,1346,20080510,重庆市,760~920,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827955.jpg,,,,,,,,,, +心叶山土瓜,Merremia cordata,周仕顺,2116,20041004,云南省,850,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648489.jpg,,,,,,,,,, +心叶山土瓜,Merremia cordata,"姜恕,应俊生等",4279,19600923,四川省,1400,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01142642.jpg,,,,,,,,,, +心叶山土瓜,Merremia cordata,,2562,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01142643.jpg,,,,,,,,,, +山土瓜,Merremia hungaiensis var. hungaiensis,弥渡普查队,5329250781,20120722,云南省,2044,,草本,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0020261.jpg,,,,,,,,,, +大籽鱼黄草,Merremia sibirica var. macrosperma,T.T.Yu,14927,19371121,云南省,2000,灌木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01142861.jpg,,,,,,,,,, +北鱼黄草(原变种),Merremia sibirica var. sibirica,白洪兵、李红,533324180909781LY,20180909,云南,1842,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009761.jpg,,,,,,,,,, +毛籽鱼黄草,Merremia sibirica var. trichosperma,K.M.Liou,3676,19340909,山西省,1155,Dans les bois,,无花有果,https://image.cvh.ac.cn/files/l/PE/01142876.jpg,,,,,,,,,, +毛籽鱼黄草,Merremia sibirica var. trichosperma,李馨,76690,19571009,四川省,1940,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01142875.jpg,,,,,,,,,, +毛籽鱼黄草,Merremia sibirica var. trichosperma,,507,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01142873.jpg,,,,,,,,,, +囊毛鱼黄草,Merremia sibirica var. vesiculosa,刘慎谔,22267,19461025,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01142879.jpg,,,,,,,,,, +囊毛鱼黄草,Merremia sibirica var. vesiculosa,川经西(59)字,3474,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01142878.jpg,,,,,,,,,, +囊毛鱼黄草,Merremia sibirica var. vesiculosa,刘慎谔,22267,19461025,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0553982.jpg,,,,,,,,,, +近无毛蓝花土瓜,Merremia yunnanensis var. glabrescens,冯国楣,21543,19550916,云南省,1880,灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01143030.jpg,,,,,,,,,, +红花土瓜,Merremia yunnanensis var. pallescens,George Forrest,12157,19140000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01143044.jpg,,,,,,,,,, +红花土瓜,Merremia yunnanensis var. pallescens,,2557,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01143014.jpg,,,,,,,,,, +,Merrilliopanax alpinus,青藏队,5575,19750606,西藏自治区,2400,山坡阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01932130.jpg,,,,,,,,,, +西藏常春木,Merrilliopanax alpinus,"刘成, 亚吉东, 李昌洪",18CS17162,20181110,西藏,2038,俅江青冈林下,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486634.jpg,,,,,,,,,, +长梗常春木,Merrilliopanax listeri,T.T.Yu,19136,19280623,云南省,1800,Among thickts,,无花无果,https://image.cvh.ac.cn/files/l/PE/01932129.jpg,,,,,,,,,, +常春木,Merrilliopanax listeri,H.T.Tsai,54386,1933.10.12.,云南,2600,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0002321.jpg,,,,,,,,,, +颈果草,Metaeritrichium microuloides,D.E.Boufford et al.,31690,20040804,西藏自治区,4325~4435,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856053.jpg,,,,,,,,,, +颈果草,Metaeritrichium microuloides,T.N.Ho et al.,1661,19960812,青海省,4600,"Stony slope with vertical stripes of unconsolidated scree with very few plants,Growing at roadside and in frost-heave areas",,有花有果,https://image.cvh.ac.cn/files/l/PE/01361160.jpg,,,,,,,,,, +毛茛莲花,Metanemone ranunculoides,王启无,64644,19350700,云南省,3500,Mountain slope,Herbs,有花无果,https://image.cvh.ac.cn/files/l/PE/00028160.jpg,,,,,,,,,, +,Metapanax davidii,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",224,20020814,云南省,2600,常绿阔叶林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101000.jpg,,,,,,,,,, +,Metapanax davidii,巴山采集队,5122,20110702,四川省,1300,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873114.jpg,,,,,,,,,, +,Metapanax davidii,刘正宇,180212,20070927,重庆市,1500,山地杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01849725.jpg,,,,,,,,,, +,Metapanax delavayi,"Liu Yanchun, Xu Jin",234,20080927,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01924194.jpg,,,,,,,,,, +,Metapanax delavayi,"张志松,张永田",7842,19600818,贵州省,1500,山坡林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00988629.jpg,,,,,,,,,, +黄兰,Michelia champaca,李振宇等,1445,19981024,广西壮族自治区,850,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01975869.jpg,,,,,,,,,, +黄兰,Michelia champaca,广西队,79,19550520,,,平原栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/01975868.jpg,,,,,,,,,, +黄兰,Michelia champaca,刘正宇,182979,20080615,重庆市,860,庭院栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868265.jpg,,,,,,,,,, +南亚含笑,Michelia doltsopa,"E.D.Liu, X.Nong",1,20070202,云南省,1730,Among woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898763.jpg,,,,,,,,,, +南亚含笑,Michelia doltsopa,"李渤生,倪志诚,程树志",6920,19830828,西藏自治区,1650,村边一株,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538832.jpg,,,,,,,,,, +多花含笑,Michelia floribunda,中苏云南队,9187,19570405,云南省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231216.jpg,,,,,,,,,, +多花含笑,Michelia floribunda,熊晓芸,2006-329,20060328,四川省,780,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859553.jpg,,,,,,,,,, +西藏含笑,Michelia kisopa,青藏队,74-4392,19740820,西藏自治区,1100,山坡杂木林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231210.jpg,,,,,,,,,, +西藏含笑,Michelia kisopa,M.K.Li,3,19390915,云南省,1900,side of field,,无花有果,https://image.cvh.ac.cn/files/l/PE/00126079.jpg,,,,,,,,,, +西藏含笑,Michelia kisopa,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-1108-T05-003118,20171207,,1917,"Roadside, under the forest",乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445873.jpg,,,,,,,,,, +绒叶含笑,Michelia velutina,"李渤生,程树志",3913,19830406,西藏自治区,850,半常绿雨林下时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/02062070.jpg,,,,,,,,,, +云南含笑,Michelia yunnanensis,"H.Li,S.X.Yang,R.Li etc.",590,20020826,云南省,2570,山地次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02108966.jpg,,,,,,,,,, +云南含笑,Michelia yunnanensis,谭策铭,941510,19941103,江西省,200,引种栽培小坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01839892.jpg,,,,,,,,,, +微果草,Microcaryum pygmaeum,Tang et xia,452,19820719,四川省,3700,亚高山草甸草场 平坝,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110773.jpg,,,,,,,,,, +微果草,Microcaryum pygmaeum,T.T.Yu,12620,19370803,云南省,3100,grassland region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110772.jpg,,,,,,,,,, +,Microchloa fibrosa,北京所横断山队,951,19810708,云南省,2300,石灰岩 干旱丘陵 山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01401852.jpg,,,,,,,,,, +,Microchloa fibrosa,青藏队,13627,19830905,四川省,2300,山坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00572648.jpg,,,,,,,,,, +小草(原变种),Microchloa indica var. indica,张桥蓉;阮志层;王勒保,ZhangYH288,20201107,云南,2215,灌草丛中,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1550131.jpg,,,,,,,,,, +长穗小草,Microchloa indica var. kunthii,滇西北金沙江队,4642,19630718,云南省,2150,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00038798.jpg,,,,,,,,,, +长穗小草,Microchloa indica var. kunthii,李永亮等4人,YDDXS0473,19050702,云南,2014,针阔叶混交林间,,,https://image.cvh.ac.cn/files/l/KUN/1402730.jpg,,,,,,,,,, +长穗小草,Microchloa indica var. kunthii,青藏队,13627,19830905,四川省,2300,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/386086.jpg,,,,,,,,,, +小果滨藜,Microgynoecium tibeticum,T.P.Wang,7619,19370822,甘肃省,4000,wasted place,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086913.jpg,,,,,,,,,, +小果滨藜,Microgynoecium tibeticum,Hopkingson,Ho1219,19300909,,4000,大河坝,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086911.jpg,,,,,,,,,, +小果滨藜,Microgynoecium tibeticum,青藏队,76-233,19760824,西藏自治区,4400,沙质地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00541038.jpg,,,,,,,,,, +针毛鳞盖蕨,Microlepia trapeziformis,红水河植物考察队,1359,19890518,广西壮族自治区,850,沟谷常绿阔叶林下,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/02018884.jpg,,,,,,,,,, +针毛鳞盖蕨,Microlepia trapeziformis,South Tibet Expedition Team(STET),STET1891,20100801,西藏自治区,1600,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02013498.jpg,,,,,,,,,, +针毛鳞盖蕨,Microlepia trapeziformis,张宪春,6635,20101115,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871173.jpg,,,,,,,,,, +小芸木,Micromelum integerrimum,"张志耘,谢磊,张强",2015-174,20150505,广西壮族自治区,280~300,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064929.jpg,,,,,,,,,, +小芸木,Micromelum integerrimum,刘恩德等,11,20070220,云南省,1800,Among woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/01925754.jpg,,,,,,,,,, +小芸木,Micromelum integerrimum,中越考察队,447,19640214,,1400~1450,谷沟灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01692384.jpg,,,,,,,,,, +小香薷,Micromeria barosma,康藏植物考察队(Kham Expedition),10-2974,20100828,云南省,2750,林缘沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01875809.jpg,,,,,,,,,, +小香薷,Micromeria barosma,吴徵镒,,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0583589.jpg,,,,,,,,,, +清香姜味草,Micromeria euosma,中甸队,2154,19620928,云南省,3100,松栎林岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00824267.jpg,,,,,,,,,, +,Micromeria euosma,,21067,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0047643.jpg,,,,,,,,,, +,Micromeria euosma,"Forrest, George",10574,13-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00208091.jpg,,,,,,,,,, +刚莠竹,Microstegium ciliatum,钟明哲,3598,20081020,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088463.jpg,,,,,,,,,, +刚莠竹,Microstegium ciliatum,,1834,19561014,贵州省,1400,山地 黄棕壤,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049109.jpg,,,,,,,,,, +刚莠竹,Microstegium ciliatum,"李振宇,闫丽春,农必明,李东方",1432,19981024,广西壮族自治区,850,山坡,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981302.jpg,,,,,,,,,, +竹叶茅,Microstegium nudum,"H.Li,S.X.Yang,R.Li etc.",1141,20021111,云南省,2530,林(中)下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109567.jpg,,,,,,,,,, +竹叶茅,Microstegium nudum,"简名玮,崔祖锡,梁慧舟",90,20030814,台湾省,1390,"Grassland,on mountain slope",,有花无果,https://image.cvh.ac.cn/files/l/PE/02089736.jpg,,,,,,,,,, +柔枝莠竹,Microstegium vimineum,Liu Yanchun,293,20090919,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088982.jpg,,,,,,,,,, +柔枝莠竹,Microstegium vimineum,钟明哲,4063,20090616,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088545.jpg,,,,,,,,,, +柔枝莠竹,Microstegium vimineum,"李振宇,闫丽春,农必明,李东方",1548,19981025,广西壮族自治区,850,水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981293.jpg,,,,,,,,,, +钝齿变种,Microtoena delavayi var. amblyodon,秦仁昌,23689,19290818,云南省,2600,杂木林下阴湿,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00824242.jpg,,,,,,,,,, +,Microtoena delavayi var. grandiflora,T.T.Yu,7517,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00824246.jpg,,,,,,,,,, +大花云南冠唇花,Microtoena delavayi var. grandiflora,云大生物系玉龙调查队,812,19560818,云南省,2900,草丛中路旁阳处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/217784.jpg,,,,,,,,,, +木里冠唇花,Microtoena muliensis,武素功,8496,19640821,云南省,2200,山谷路边常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/217814.jpg,,,,,,,,,, +木里冠唇花,Microtoena muliensis,青藏队,13317,19830823,四川省,2500,山沟陡岩上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/217816.jpg,,,,,,,,,, +,Microtoena patchoulii,王强,H&W08009,20081225,云南省,1520,农田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328402.jpg,,,,,,,,,, +滇南冠唇花,Microtoena patchoulii,C.C.Hsieh,42079,19550000,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0583646.jpg,,,,,,,,,, +狭萼冠唇花,Microtoena stenocalyx,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET3371,20080720,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328432.jpg,,,,,,,,,, +狭萼冠唇花,Microtoena stenocalyx,"Jin Xh,Wang LS,Wang Q et al.",ST0278,20130716,云南省,1700~2100,evergreen broadleaf forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02002197.jpg,,,,,,,,,, +狭萼冠唇花,Microtoena stenocalyx,曹子余,1147,19581027,贵州省,1000,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00824329.jpg,,,,,,,,,, +异色假卫矛,Microtropis discolor,高天刚,700,19980104,云南省,600,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01829679.jpg,,,,,,,,,, +异色假卫矛,Microtropis discolor,综合考察队,59-14819,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0286229.jpg,,,,,,,,,, +大叶假卫矛,Microtropis macrophylla,青藏队,1813,19740812,西藏自治区,2040,常绿阔叶林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0414334.jpg,,,,,,,,,, +大叶假卫矛,Microtropis macrophylla,吴磊,郭师傅,3913,20130528,云南省,1470,山坡密林,,有果无花,https://image.cvh.ac.cn/files/l/BNU/0030316.jpg,,,,,,,,,, +方枝假卫矛,Microtropis tetragona,红水河植物考察队,409,19890423,广西壮族自治区,1700,阔叶林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998941.jpg,,,,,,,,,, +方枝假卫矛,Microtropis tetragona,"S.K.Wu,Y.M.Shui et al.",3310,19951029,云南省,1900~2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01910829.jpg,,,,,,,,,, +大孔微孔草,Microula bhutanica,王启无,68470,19350800,云南省,3600,Mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01339688.jpg,,,,,,,,,, +大孔微孔草,Microula bhutanica,T.T.Yu,6431,19370619,四川省,3800,under thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01339686.jpg,,,,,,,,,, +尖叶微孔草,Microula blepharolepis,T.N.Ho et al.,2921,19960907,青海省,3900,Gentle slopes with degraded alpine meadow;steeper slopes with groves of Juniperus Growing mostly under Juniperus,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361185.jpg,,,,,,,,,, +尖叶微孔草,Microula blepharolepis,"张泽荣,周洪富",22259,19570620,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01339690.jpg,,,,,,,,,, +,Microula blepharolepis,"蔡杰,张挺,刘成,郭永杰,张桥蓉",11CS3258,20110821,云南省,3926,路边山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1380781.jpg,,,,,,,,,, +巴塘微孔草,Microula ciliaris,,907,19730821,西藏自治区,4200,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648908.jpg,,,,,,,,,, +巴塘微孔草,Microula ciliaris,四川省植被调查队,稻1824,19730614,四川省,3850,草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01339691.jpg,,,,,,,,,, +疏散微孔草,Microula diffusa,PE西藏队,PE6716,20170915,西藏自治区,4200,湖边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330449.jpg,,,,,,,,,, +疏散微孔草,Microula diffusa,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",937,19930809,青海省,4150,"Flat bottomed valley with moist alpine meadows on bottom,slopes with rocky outcrops and turf.On disturbed slopes",,有花无果,https://image.cvh.ac.cn/files/l/PE/01361193.jpg,,,,,,,,,, +无孔微孔草,Microula efoveolata,赵清盛等,6735,19780723,四川省,3200,公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997666.jpg,,,,,,,,,, +无孔微孔草,Microula efoveolata,俞德浚,7038,19370706,浙江省,3400,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/484218.jpg,,,,,,,,,, +多花微孔草,Microula floribunda,Anonymous,135,19600000,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111267.jpg,,,,,,,,,, +多花微孔草,Microula floribunda,Harry Smith,12196,19340917,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361194.jpg,,,,,,,,,, +丽江微孔草,Microula forrestii,George Forrest,6290,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361195.jpg,,,,,,,,,, +丽江微孔草,Microula forrestii,J.Rock,17940,19290600,四川省,0~4000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0537008.jpg,,,,,,,,,, +密毛微孔草,Microula hispidissima,于胜祥等,5294,20110812,西藏自治区,4147,沿途路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01956073.jpg,,,,,,,,,, +总苞微孔草,Microula involucriformis,78研实习小组,79067,19790718,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997667.jpg,,,,,,,,,, +总苞微孔草,Microula involucriformis,藏药队,732,19710818,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/24288.jpg,,,,,,,,,, +吉隆微孔草,Microula jilongensis,青藏队植被组,5705,19750801,西藏自治区,4050,山坡草原下部,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076807.jpg,,,,,,,,,, +吉隆微孔草,Microula jilongensis,M.Suzuki etc.,9485298,19940805,,3740,open rocky grassland,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261330.jpg,,,,,,,,,, +光果微孔草,Microula leiocarpa,王启无,70013,19350900,云南省,2700,ravine water side,herbs,有花无果,https://image.cvh.ac.cn/files/l/PE/00029612.jpg,,,,,,,,,, +长梗微孔草,Microula longipes,D.E.Boufford et al.,33452,20050722,四川省,3700~4175,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856018.jpg,,,,,,,,,, +长梗微孔草,Microula longipes,俞德浚,7079,19370707,浙江省,0~3400,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/484220.jpg,,,,,,,,,, +长筒微孔草,Microula longituba,青藏科考队,12095,19760702,西藏自治区,3800,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029742.jpg,,,,,,,,,, +长筒微孔草,Microula longituba,郝加琛,15132,20150707,四川省,3018,路边石滩,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0041861.jpg,,,,,,,,,, +鹤庆微孔草,Microula myosotidea,康藏植物考察队,10-0261,20100720,四川省,4178,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234980.jpg,,,,,,,,,, +鹤庆微孔草,Microula myosotidea,秦仁昌,24114,19290827,云南省,3800,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01339720.jpg,,,,,,,,,, +,Microula oblongifolia var. oblongifolia,彭玉兰、涂卫国、幸福,Gaoxf0022,20080716,四川,4299,高山草矮灌丛甸,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0203601.jpg,,,,,,,,,, +卵叶微孔草(原变种),Microula ovalifolia var. ovalifolia,蔡杰,刘成,何谐,吕林玲,16CS11744,20160826,四川,3784,草地灌丛,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435399.jpg,,,,,,,,,, +蓼状微孔草,Microula polygonoides,王启无,70339,19350900,云南省,2700,open slope,herbs,有花无果,https://image.cvh.ac.cn/files/l/PE/00029740.jpg,,,,,,,,,, +蓼状微孔草,Microula polygonoides,C.W.Wang,70339,19350900,云南省 ,2700,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00213564.jpg,,,,,,,,,, +甘青微孔草(原变种),Microula pseudotrichocarpa var. pseudotrichocarpa,谢登峰、蔡竞、秦换换,CJ-002-A-002,20200916,四川,3493.88m,高山草原灌丛,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02071011.jpg,,,,,,,,,, +柔毛微孔草,Microula rockii,Harry Smith,3045,19220805,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361259.jpg,,,,,,,,,, +柔毛微孔草,Microula rockii,J.F.Rock,12605,19250700,甘肃省,4167,alpine meadows,,有花无果,https://image.cvh.ac.cn/files/l/PE/01339783.jpg,,,,,,,,,, +柔毛微孔草,Microula rockii,J.F.Rock,14511,19260729,西藏自治区,4433,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01339782.jpg,,,,,,,,,, +微孔草,Microula sikkimensis,PE西藏考察队,7098,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332599.jpg,,,,,,,,,, +微孔草,Microula sikkimensis,Anonymous,844,19580803,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111261.jpg,,,,,,,,,, +匙叶微孔草,Microula spathulata,D.E.Boufford et al.,30972,20040720,四川省,4070,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856014.jpg,,,,,,,,,, +匙叶微孔草,Microula spathulata,T.T.Yu,11835,19370628,云南省,3300,grassy slope,herb prostating,有花无果,https://image.cvh.ac.cn/files/l/PE/01354025.jpg,,,,,,,,,, +狭叶微孔草,Microula stenophylla,杨金祥,2239,19630815,西藏自治区,4750,公路边砂土上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111148.jpg,,,,,,,,,, +狭叶微孔草,Microula stenophylla,朱格麟,4113,19600731,甘肃省,,黄河沿沙滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111145.jpg,,,,,,,,,, +狭叶微孔草,Microula stenophylla,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",1138,19930811,青海省,4040,On flood plane of Huang He with terraces of pebbles and sandy areas.In sand,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361235.jpg,,,,,,,,,, +宽苞微孔草,Microula tangutica,青藏队那曲分队陶德定,10776,19760805,西藏自治区,5100~5300,山口,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076803.jpg,,,,,,,,,, +宽苞微孔草,Microula tangutica,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",689,19930802,青海省,4300~4500,Alpine meadow on steep slopes and scree,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361237.jpg,,,,,,,,,, +宽苞微孔草,Microula tangutica,王镜泉,710166,19710813,甘肃省,3600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354043.jpg,,,,,,,,,, +西藏微孔草,Microula tibetica var. tibetica,陈世龙、高庆波、张发起等,Chensl-1600,20110818,青海省,3630,高山草甸,直立草本,无花有果,https://image.cvh.ac.cn/files/l/HNWP/00000215.jpg,,,,,,,,,, +长果微孔草,Microula turbinata,"万涛,王文广,刘平等",WL0033,20140711,四川省,2560,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021527.jpg,,,,,,,,,, +长果微孔草,Microula turbinata,K.T.Fu,1515,19370822,甘肃省,3700,on bank of valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354082.jpg,,,,,,,,,, +小微孔草,Microula younghusbandii,康藏植物考察队,10-0260,20100720,四川省,4178,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110885.jpg,,,,,,,,,, +小微孔草,Microula younghusbandii,青藏队植被组,13049,19760719,西藏自治区,4850,山地沙砾坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076811.jpg,,,,,,,,,, +粟草,Milium effusum,"Ying Tsun-shen,Guo Qin-feng,Li Yun-feng etc.",296,19870720,陕西省,2150,in woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233299.jpg,,,,,,,,,, +粟草,Milium effusum,,132,19880625,河南省,1600,杂木林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233296.jpg,,,,,,,,,, +香花崖豆藤,Millettia dielsiana var. dielsiana,左家哺,F4-099,19851001,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0002763.jpg,,,,,,,,,, +鸡血藤,Millettia extensa,岳中枢,无,19780628,云南省,0,栽培,,,https://image.cvh.ac.cn/files/l/KUN/1271615.jpg,,,,,,,,,, +鸡血藤,Millettia extensa,周联选,11491,20131020,广东省,0,山地,疏林,,,https://image.cvh.ac.cn/files/l/KUN/1270797.jpg,,,,,,,,,, +鸡血藤,Millettia extensa,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-1108-T05-003194,20171216,,313,Under the forest,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1456520.jpg,,,,,,,,,, +厚果崖豆藤,Millettia pachycarpa,"刘金鉴,田景全",239,19631014,四川省,,山谷路旁密林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092132.jpg,,,,,,,,,, +厚果崖豆藤,Millettia pachycarpa,"程树志,倪志诚,李渤生",4836,19830510,西藏自治区,1650,常绿阔叶林缘时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074719.jpg,,,,,,,,,, +厚果崖豆藤,Millettia pachycarpa,"张志耘,谢磊,张强",2015-110,20150503,广西壮族自治区,360,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064923.jpg,,,,,,,,,, +,Millettia pulchra var. laxior,"张志耘,谢磊,张强",2015-115,20150503,广西壮族自治区,360,valley road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064875.jpg,,,,,,,,,, +,Millettia pulchra var. laxior,青藏队,7143,19820610,云南省,1700~1800,山坡路边常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00491447.jpg,,,,,,,,,, +,Millettia velutina,秦仁昌,24426,19290907,云南省,2400,杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00491451.jpg,,,,,,,,,, +,Millettia velutina,"南水北调队,应俊生",4345,19600923,四川省,1400,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00491449.jpg,,,,,,,,,, +穗花韭,Milula spicata,PE西藏队,PE5525,20170831,西藏自治区,4460,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891529.jpg,,,,,,,,,, +穗花韭,Milula spicata,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791794.jpg,,,,,,,,,, +含羞草,Mimosa pudica,Shiu Ying Hu,5600,19680915,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01684998.jpg,,,,,,,,,, +含羞草,Mimosa pudica,236-6队,3844,19810715,海南省,60,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01684996.jpg,,,,,,,,,, +含羞草,Mimosa pudica,236-6队,2824,19770824,广东省,30,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01684995.jpg,,,,,,,,,, +匍生沟酸浆,Mimulus bodinieri,和文礼,20102,19280426,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480441.jpg,,,,,,,,,, +匍生沟酸浆,Mimulus bodinieri,,5371,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01395824.jpg,,,,,,,,,, +,Mimulus bracteosus,Harry Smith,10052,19340622,四川省,1000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432116.jpg,,,,,,,,,, +尼泊尔沟酸浆,Mimulus tenellus var. nepalensis,PE西藏队,PE5842,20170903,西藏自治区,3401,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330877.jpg,,,,,,,,,, +尼泊尔沟酸浆,Mimulus tenellus var. nepalensis,刘淼等,A50191,20050620,安徽省,400,水沟中沙土上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054442.jpg,,,,,,,,,, +尼泊尔沟酸浆,Mimulus tenellus var. nepalensis,北京队,890524,19890429,广西壮族自治区,300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020468.jpg,,,,,,,,,, +南红藤,Mimulus tenellus var. platyphyllus,青藏队,846,19810610,云南省,1920,林间沼泽地流水处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01492025.jpg,,,,,,,,,, +南红藤,Mimulus tenellus var. platyphyllus,T.Naito et al. ,83,19860426,四川省,1150,On wet ground by stream on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480479.jpg,,,,,,,,,, +南红藤,Mimulus tenellus var. platyphyllus,,23493,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01434180.jpg,,,,,,,,,, +高大沟酸浆,Mimulus tenellus var. procerus,白水江考察队,47,20060625,甘肃省,2000,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612473.jpg,,,,,,,,,, +高大沟酸浆,Mimulus tenellus var. procerus,George Forrest,25538,19240000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480495.jpg,,,,,,,,,, +高大沟酸浆,Mimulus tenellus var. procerus,B.Bartholomew et al.,1788,19860929,贵州省,1100~1400,Growing among rocks in river bed,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480494.jpg,,,,,,,,,, +西藏沟酸浆,Mimulus tibeticus,萧培根,2811,19650910,西藏自治区,3650,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/484340.jpg,,,,,,,,,, +西藏沟酸浆,Mimulus tibeticus,成都中医药大学,409,19790519,四川,2000,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0002865.jpg,,,,,,,,,, +克什米乐米努草,Minuartia kashmirica,陈伟烈,10896,19800704,西藏自治区,900,河边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268481.jpg,,,,,,,,,, +克什米尔米努草,Minuartia kashmirica,张林、李星月、张晓严,5-118,20180611,西藏,3292,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023670.jpg,,,,,,,,,, +春米努草,Minuartia verna,郭柯等,天山-137,19860730,新疆维吾尔自治区,3250,高山冰碛丘顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01805825.jpg,,,,,,,,,, +春米努草,Minuartia verna,G.Woronow,s.n.,19100700,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01627460.jpg,,,,,,,,,, +,Miscanthus nepalensis,"Liu Yanchun,Xu Jin",232,20080927,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089463.jpg,,,,,,,,,, +,Miscanthus nepalensis,PE西藏队,PE6298,20170911,西藏自治区,2445,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01891457.jpg,,,,,,,,,, +,Miscanthus nepalensis,C.S.Chang S.P.Hong et al.,NE020444,20021014,,2610,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854601.jpg,,,,,,,,,, +,Miscanthus nudipes,Liu Yanchun,318,20100828,贵州省,1776,on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088650.jpg,,,,,,,,,, +,Miscanthus nudipes,T.N.Liou,L.6431,19321204,,578,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01854602.jpg,,,,,,,,,, +,Miscanthus nudipes,"李渤生,倪志诚,程树志",6573,19830328,西藏自治区,3100,林缘灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854599.jpg,,,,,,,,,, +,Miscanthus taylorii,"Ludlow, Frank: Sherriff, George & Taylor, George",5799,9-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00267851.jpg,,,,,,,,,, +,Miscanthus wardii,"Kingdon-Ward, Francis",19328,12-Apr-50,,,,,,https://image.cvh.ac.cn/files/l/E/E00267850.jpg,,,,,,,,,, +,Mnesithea striata var. pubescens,朱太平,176,19640811,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437534.jpg,,,,,,,,,, +,Mnesithea striata var. pubescens,毛品一,6084,19550920,云南省,1300~800,疏林干燥,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437531.jpg,,,,,,,,,, +粟米草,Mollugo stricta,科考队,A181,20021031,湖南省,,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244544.jpg,,,,,,,,,, +粟米草,Mollugo stricta,科考队,1634,19740805,西藏自治区,960,荒地草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240032.jpg,,,,,,,,,, +粟米草,Mollugo stricta,金佛山考察队,2388,19860901,重庆市,650,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240030.jpg,,,,,,,,,, +独丽花,Moneses uniflora,"张新时,郭柯",天山-396,19860804,新疆维吾尔自治区,2360,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097554.jpg,,,,,,,,,, +独丽花,Moneses uniflora,李才贵,148,19840630,山西省,2000,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081502.jpg,,,,,,,,,, +独丽花,Moneses uniflora,Carl Laulsson,s.n.,18860600,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913132.jpg,,,,,,,,,, +,Monomeria barbata,金效华,565,20000604,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820849.jpg,,,,,,,,,, +,Monomeria barbata,王启无,86186,19400104,云南省,1000,"in forest,on rocks",,无花无果,https://image.cvh.ac.cn/files/l/PE/00522784.jpg,,,,,,,,,, +短瓣兰,Monomeria barbata,"刘恩德,方伟,朱鑫鑫, 孙增朋",LiuED6879A,20161210,云南,,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1495448.jpg,,,,,,,,,, +松下兰,Monotropa hypopitys,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1581,20130818,西藏自治区,,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000502.jpg,,,,,,,,,, +松下兰,Monotropa hypopitys,"Jin Xh,Wang LS Wang Q et al.",ST1175,20130727,云南省,2400~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01968114.jpg,,,,,,,,,, +松下兰,Monotropa hypopitys,A.Trojecka-Brezezinska,4122,20080624,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917056.jpg,,,,,,,,,, +水晶兰,Monotropa uniflora,赵鑫磊,,20131006,安徽省,1000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110186.jpg,,,,,,,,,, +水晶兰,Monotropa uniflora,"李渤生,倪志诚,程树志",6530,19830816,西藏自治区,2400,常绿阔叶林下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077774.jpg,,,,,,,,,, +,Monotropastrum humile,赵鑫磊,,20140504,安徽省,1000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02110988.jpg,,,,,,,,,, +,Monotropastrum humile,陈志辉,148,19870712,台湾省,674,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871412.jpg,,,,,,,,,, +,Monotropastrum humile,Miyoshi Furuse,13643,19790603,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01180244.jpg,,,,,,,,,, +,Morina alba,,260,19640705,青海省,3700,山地阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082796.jpg,,,,,,,,,, +,Morina alba,青藏队横断山队,3773,19810805,四川省,4200,灌丛 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173663.jpg,,,,,,,,,, +,Morina alba,青藏队,2770,19810714,云南省,4200,石灰岩 山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173660.jpg,,,,,,,,,, +圆萼刺参,Morina chinensis,汤宗孝,1292,19830702,四川省,3850,高山草甸草场,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232037.jpg,,,,,,,,,, +圆萼刺参,Morina chinensis,"张永田,郎楷永",4303,19660620,西藏自治区,4400,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232036.jpg,,,,,,,,,, +圆萼刺参,Morina chinensis,,77,19640615,青海省,4300,山地丘陵阳坡砾石地和鼠洞附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082797.jpg,,,,,,,,,, +绿花刺参,Morina chlorantha,中甸队,879,19620816,云南省,3400,Larix林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01165053.jpg,,,,,,,,,, +绿花刺参,Morina chlorantha,罗正远等,442,19300625,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01165051.jpg,,,,,,,,,, +绿花刺参,Morina chlorantha,T.N.Ho et al.,2103,19960819,青海省,3850~3950,"Valley:one side with areas of very closely cropped Kobesia meadow and mostly low bushland with Salix,Growing on steep slopes among rocks",,有花无果,https://image.cvh.ac.cn/files/l/PE/01165050.jpg,,,,,,,,,, +,Morina coulteriana,J. F. Royle,,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00031782.jpg,,,,,,,,,, +青海刺参,Morina kokonorica,PE西藏队,PE5123,20170825,西藏自治区,3788,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333179.jpg,,,,,,,,,, +青海刺参,Morina kokonorica,"胡叔良,刘学忠",196-2,19560812,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591152.jpg,,,,,,,,,, +长叶刺参,Morina longifolia,W.P.Fang,4270,19280819,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00109109.jpg,,,,,,,,,, +,Morina longifolia,"Wallich, N.",426,1834,,,,,,https://image.cvh.ac.cn/files/l/P/P02284033.jpg,,,,,,,,,, +,Morina ludlowii,中国科学植物研究所昆明工作站,75-1716,19750910,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01442379.jpg,,,,,,,,,, +鸡眼藤,Morinda parvifolia,,?州Q3,19731100,广西壮族自治区,50,?岩石地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02016140.jpg,,,,,,,,,, +鸡眼藤,Morinda parvifolia,"张寿洲,李良千等",2633,20050711,广东省,100~200,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01809520.jpg,,,,,,,,,, +鸡眼藤,Morinda parvifolia,236-6队,2037,19750731,福建省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01775757.jpg,,,,,,,,,, +桑,Morus alba,陈又生,9488,20090818,西藏自治区,4275,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235295.jpg,,,,,,,,,, +桑,Morus alba,覃海宁 于胜祥 刘博 叶建飞 黄云峰,19647,20080428,广西壮族自治区,865,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112368.jpg,,,,,,,,,, +桑,Morus alba,,55,19590510,新疆维吾尔自治区,,庭院栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090331.jpg,,,,,,,,,, +鸡桑,Morus australis,甘启良,3355,20090609,湖北省,1100,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062392.jpg,,,,,,,,,, +鸡桑,Morus australis,林秦文,2013-098,20130528,云南省,1600~1750,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039785.jpg,,,,,,,,,, +鸡桑,Morus australis,"张树仁,陈淑荣,朗校安等",1865,20140613,四川省,1400~1600,山坡 林下 沙土,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021413.jpg,,,,,,,,,, +,Morus macroura,白水江采集队,3359,20070421,甘肃省,1240,石崖沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01812652.jpg,,,,,,,,,, +,Morus macroura,周仕顺,1912,20040324,云南省,,荫生区,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602289.jpg,,,,,,,,,, +,Morus macroura,"李渤生,程树志",4903,19830528,西藏自治区,850,半常绿雨林中常见二层乔木,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491242.jpg,,,,,,,,,, +蒙桑,Morus mongolica,内蒙队,502,19670907,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109174.jpg,,,,,,,,,, +蒙桑,Morus mongolica,黄河调查队,2350,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081667.jpg,,,,,,,,,, +蒙桑,Morus mongolica,北京队,891073,19890511,广西壮族自治区,500,石山山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01985110.jpg,,,,,,,,,, +,Morus notabilis,税玉民,2462,19930423,云南省,2000,土山地山沟密林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00760460.jpg,,,,,,,,,, +,Morus notabilis,S.L.Sun,1924,19400508,四川省,1300,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00711746.jpg,,,,,,,,,, +小花荠苎,Mosla cavaleriei,王强,W13052,20131025,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328255.jpg,,,,,,,,,, +小花荠苎,Mosla cavaleriei,赵佐成,4442,19931023,四川省,2000,阳处地边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010154.jpg,,,,,,,,,, +小花荠苎,Mosla cavaleriei,刘正宇,181670,20071108,重庆市,350,江边荒地中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868396.jpg,,,,,,,,,, +小鱼荠苎,Mosla dianthera,王强,W13030,20130921,江西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328263.jpg,,,,,,,,,, +小鱼荠苎,Mosla dianthera,"王强,刘杉杉",WF006,20140523,福建省,150,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328254.jpg,,,,,,,,,, +小鱼荠苎,Mosla dianthera,王强,W13027,20131023,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328251.jpg,,,,,,,,,, +美叶油麻藤,Mucuna calophylla,赵清盛、牟克华,5356,1978-6 1,四川省,1000,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0060555.jpg,,,,,,,,,, +美叶油麻藤,Mucuna calophylla,Forrest,15619,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00040820.jpg,,,,,,,,,, +,Mucuna calophylla,"Forrest, George",15619,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00570076.jpg,,,,,,,,,, +海南黎豆,Mucuna hainanensis,236-6队,4498,19830317,云南省,600,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00414103.jpg,,,,,,,,,, +海南黎豆,Mucuna hainanensis,候宽昭,71364,19350324,海南省,,缠绕於竹林上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00414102.jpg,,,,,,,,,, +海南黧豆,Mucuna hainanensis,Hk.Herb.,2140,,海南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0154548.jpg,,,,,,,,,, +,Mucuna macrocarpa,Liang-Hung Wu et al.,54,19950919,台湾省,576~925,En route from the main forest road to Watershed,,无花有果,https://image.cvh.ac.cn/files/l/PE/01781725.jpg,,,,,,,,,, +,Mucuna macrocarpa,青藏队区系组,7917,19820705,云南省,1600~1700,山坡常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00491456.jpg,,,,,,,,,, +,Mucuna macrocarpa,李光照,16062,19970910,广西壮族自治区,185,山坡疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00461599.jpg,,,,,,,,,, +常春油麻藤,Mucuna sempervirens,"张树仁,陈淑荣,王英伟等",92,20130418,四川省,1343,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014496.jpg,,,,,,,,,, +常春油麻藤,Mucuna sempervirens,北京队,890261,19890425,广西壮族自治区,,山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996636.jpg,,,,,,,,,, +常春油麻藤,Mucuna sempervirens,"S.K.Wu,Y.M.Shui et al.",308,19951028,云南省,1900~2500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01910823.jpg,,,,,,,,,, +喜马拉雅乱子草,Muhlenbergia himalayensis,R.J.Soreng et al.,5302,19970914,云南省,2280,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00573615.jpg,,,,,,,,,, +喜马拉雅乱子草,Muhlenbergia himalayensis,,9468,19750724,四川省,2900,公路水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00573610.jpg,,,,,,,,,, +帽儿瓜,Mukia maderaspatana,"李振宇,闫丽春,农必明,李东方",1829,19981030,广西壮族自治区,920,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016886.jpg,,,,,,,,,, +帽儿瓜,Mukia maderaspatana,吴圣杰等,1517,19971003,台湾省,600~900,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916939.jpg,,,,,,,,,, +帽儿瓜,Mukia maderaspatana,税玉民,671,19921021,云南省,480,绝壁脚林缘灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01884995.jpg,,,,,,,,,, +,Munronia pinnata,"刘成,张凤琼,丁艳蓉",13CS6312,20130507,云南省,580,山坡灌丛,半灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1332920.jpg,,,,,,,,,, +羽状地黄连,Munronia pinnata,"蔡杰, 刘成, 李昌洪",17CS15124,20170504,云南,886,河谷杂木林,半灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445344.jpg,,,,,,,,,, +羽状地黄连,Munronia pinnata,中植联广西队,3030,20080809,广西壮族自治区,850,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00279759.jpg,,,,,,,,,, +紫背鹿衔草,Murdannia divergens,"云南考察队(金效华,刘冰,刘博等)",YN-ET1156,20090713,云南省,2500,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237877.jpg,,,,,,,,,, +紫背鹿衔草,Murdannia divergens,李光照,14690,19950720,广西壮族自治区,700,山坡疏林中草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237871.jpg,,,,,,,,,, +紫背鹿衔草,Murdannia divergens,赵佐成,4390,19931023,四川省,1850,阳处山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02237868.jpg,,,,,,,,,, +树头花,Murdannia stenothyrsa,T.P.Wang,9603,19380908,四川省,2700,rice-field border,,有花无果,https://image.cvh.ac.cn/files/l/PE/00778837.jpg,,,,,,,,,, +树头花,Murdannia stenothyrsa,T.T.Yu,16132,19380604,云南省,2200,open slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00778835.jpg,,,,,,,,,, +豆叶九里香,Murraya euchrestifolia,"王先莲,安明态",2130,20030416,贵州省,700,山坡密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247840.jpg,,,,,,,,,, +豆叶九里香,Murraya euchrestifolia,普查队,393,19860619,湖南省,400,山谷、山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02247739.jpg,,,,,,,,,, +豆叶九里香,Murraya euchrestifolia,"覃海宁,王印政等",838,19980418,广西壮族自治区,850,山地 山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01998490.jpg,,,,,,,,,, +血红蕉,Musa sanguinea,刘爱忠,99004,19990916,云南省,750,"沟谷,溪边",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0334197.jpg,,,,,,,,,, +血红蕉,Musa sanguinea,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11897,20161114,西藏,1101,山地常绿阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1450923.jpg,,,,,,,,,, +墨脱玉叶金花,Mussaenda decipiens,"李渤生,程树志",4928,19830530,西藏自治区,850,沟谷Ficus 林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080936.jpg,,,,,,,,,, +墨脱玉叶金花,Mussaenda decipiens,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11844,20161112,西藏,961,路边灌草丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444944.jpg,,,,,,,,,, +墨脱玉叶金花,Mussaenda decipiens,"张挺, 杨湘云, 李涟漪, 周明芬",14CS9625,20141109,云南,1481,河边溪旁岩壁,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483694.jpg,,,,,,,,,, +楠藤,Mussaenda erosa,,2114,19731031,广西壮族自治区,600,砂石岩山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02016131.jpg,,,,,,,,,, +楠藤,Mussaenda erosa,"张寿洲,李良千等",2478,20050705,广东省,400~500,密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01809570.jpg,,,,,,,,,, +楠藤,Mussaenda erosa,236-6队,1384,19740911,福建省,,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01590257.jpg,,,,,,,,,, +玉叶金花,Mussaenda pubescens,"朱大海,王炳锋,王永等",608,20020627,四川省,750,山脚林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115800.jpg,,,,,,,,,, +玉叶金花,Mussaenda pubescens,Anonymous,1699,19181228,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02113444.jpg,,,,,,,,,, +玉叶金花,Mussaenda pubescens,覃海宁 于胜祥 刘博 叶建飞 黄云峰,19382,20080422,广西壮族自治区,,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112386.jpg,,,,,,,,,, +贡山玉叶金花,Mussaenda treutleri,刘伟心,188,19530706,云南省,120,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0472086.jpg,,,,,,,,,, +贡山玉叶金花,Mussaenda treutleri,H.Hara etc.,3148,19670623,,2500~1600,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/354489.jpg,,,,,,,,,, +,Mycaranthes pannea,"蔡杰, 亚吉东, 李昌洪",17CS15102,20170404,云南,1540,常绿阔叶林林中,附生植物,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445829.jpg,,,,,,,,,, +毛腺萼木,Mycetia hirta,,记Q1-14,19730800,广西壮族自治区,700,石灰岩山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016126.jpg,,,,,,,,,, +毛腺萼木,Mycetia hirta,程树志等 ,3153,19821128,西藏自治区,,乔木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01804602.jpg,,,,,,,,,, +毛腺萼木,Mycetia hirta,,737,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00793183.jpg,,,,,,,,,, +长花腺萼木,Mycetia longiflora,辛景三,390,19570825,云南省,1500,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0472215.jpg,,,,,,,,,, +长花腺萼木,Mycetia longiflora,M.K.Li,1394,19391209,云南省 ,1100,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0472210.jpg,,,,,,,,,, +长花腺萼木,Mycetia longiflora,华南队,68,19890425,广西壮族自治区,1150,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0472209.jpg,,,,,,,,,, +,Mycetia longifolia,"李渤生,程树志",3420,19830104,西藏自治区,,灌丛内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01537441.jpg,,,,,,,,,, +,Mycetia longifolia,C.W.Wang,76609,19360500,云南省,1300,Border of woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00793193.jpg,,,,,,,,,, +长叶腺萼木,Mycetia longifolia,G.Forrest,9217,19120000,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0472219.jpg,,,,,,,,,, +,Myosotis alpestris,Harry Smith,8071,19250605,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361164.jpg,,,,,,,,,, +,Myosotis alpestris,Al.Buia et al.,s.n.,19630000,,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361100.jpg,,,,,,,,,, +,Myosotis alpestris,葛学军,Ge130619,20130806,新疆维吾尔自治区,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0776068.jpg,,,,,,,,,, +湿地勿忘草,Myosotis caespitosa,孙学刚等,20010254,20010812,甘肃省,2450,沟谷水边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913757.jpg,,,,,,,,,, +湿地勿忘草,Myosotis caespitosa,D.E.Boufford et al,27961,19970907,四川省,4100~4350,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01856091.jpg,,,,,,,,,, +湿地勿忘草,Myosotis caespitosa,"近田文弘,郎楷永,杨戈",179,19870821,新疆维吾尔自治区,1900,湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851795.jpg,,,,,,,,,, +鹅肠菜,Myosoton aquaticum,周口店采集队,196,20080927,北京市,148,林下草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112283.jpg,,,,,,,,,, +鹅肠菜,Myosoton aquaticum,D.E.Boufford & Tomomi Masaki,43889,20150726,,100,forest of mixed deciduous trees margins of forest in moist soil along edge of abandoned railway right of way,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109109.jpg,,,,,,,,,, +鹅肠菜,Myosoton aquaticum,"石硕,梁文达",SZ4241,20141006,河北省,1104,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031308.jpg,,,,,,,,,, +圆舌粘冠草,Myriactis nepalensis,PE西藏队,PE5976,20170906,西藏自治区,2935,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334061.jpg,,,,,,,,,, +圆舌粘冠草,Myriactis nepalensis,赵佐成,1513,19930930,四川省,2000,路边水沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235154.jpg,,,,,,,,,, +圆舌粘冠草,Myriactis nepalensis,"H.Li,S.X.Yang,R.Li etc.",734,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110501.jpg,,,,,,,,,, +狐狸草,Myriactis wallichii,South Tibet Expedition Team(STET),STET2068,20100803,西藏自治区,800,along the yarlung za,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234639.jpg,,,,,,,,,, +狐狸草,Myriactis wallichii,陈又生,9679,20090830,云南省,3080,林缘草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053199.jpg,,,,,,,,,, +粘冠草,Myriactis wightii,陈又生,8057,20080815,云南省,2600,Grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113532.jpg,,,,,,,,,, +粘冠草,Myriactis wightii,陈又生,9805,20090915,西藏自治区,2100,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053215.jpg,,,,,,,,,, +毛杨梅,Myrica esculenta,中苏队,5317,19570227,云南省,1300,山脚、阳处、疏林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02101421.jpg,,,,,,,,,, +毛杨梅,Myrica esculenta,川黔队,253,19560510,重庆市,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075696.jpg,,,,,,,,,, +毛杨梅,Myrica esculenta,,Q3,19730800,广西壮族自治区,850,岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984060.jpg,,,,,,,,,, +云南杨梅,Myrica nana,"H.Li,S.X.Yang,R.Li etc.",319,20020815,云南省,2550,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090041.jpg,,,,,,,,,, +云南杨梅,Myrica nana,,2176,19430601,贵州省,1800,山顶 强酸性砂质土,,无花无果,https://image.cvh.ac.cn/files/l/PE/01600377.jpg,,,,,,,,,, +宽苞水柏枝,Myricaria bracteata,新东队,131,19590703,新疆维吾尔自治区,,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224010.jpg,,,,,,,,,, +宽苞水柏枝,Myricaria bracteata,"Kostina M.V.,Kuklina A.G.",,19850714,,,river valley,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114698.jpg,,,,,,,,,, +宽苞水柏枝,Myricaria bracteata,西藏队,55,19751023,西藏自治区,3200,山谷水旁阳处灌木丛中野生,,无花有果,https://image.cvh.ac.cn/files/l/PE/02087760.jpg,,,,,,,,,, +秀丽水柏枝,Myricaria elegans,西藏队,1634,19610718,西藏自治区,4470,高河漫滩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060012.jpg,,,,,,,,,, +秀丽水柏枝,Myricaria elegans,"郭柯,郑度",P-048,19891005,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01468368.jpg,,,,,,,,,, +秀丽水柏枝,Myricaria elegans,"李渤生,杜泽泉,张百平",11338,19870901,新疆维吾尔自治区,3550,山坡 河谷时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01386251.jpg,,,,,,,,,, +三春水柏枝,Myricaria paniculata,D.E.Boufford et al.,41694,20090802,西藏自治区,3620,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923521.jpg,,,,,,,,,, +三春水柏枝,Myricaria paniculata,孙学刚等,2666,20010726,甘肃省,2050,洮河河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01808889.jpg,,,,,,,,,, +匍匐水柏枝,Myricaria prostrata,PE西藏队,PE5560,20170831,西藏自治区,4352,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02330231.jpg,,,,,,,,,, +匍匐水柏枝,Myricaria prostrata,,2,19640604,青海省,4360,河漫滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082705.jpg,,,,,,,,,, +卧生水柏枝,Myricaria rosea,PE西藏考察队,7354,20180616,西藏自治区,4392,高山草甸、灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331637.jpg,,,,,,,,,, +卧生水柏枝,Myricaria rosea,汤宗孝,416,19820716,四川省,3650,河漫滩草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01611256.jpg,,,,,,,,,, +卧生水柏枝,Myricaria rosea,中甸队,1763,19620831,云南省,4100,河边大石头隙中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01599141.jpg,,,,,,,,,, +具鳞水柏枝,Myricaria squamosa,PE西藏考察队,7730,20180624,西藏自治区,3902,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332562.jpg,,,,,,,,,, +具鳞水柏枝,Myricaria squamosa,J.I.Jeon et al.,SI1377,20100811,四川省,3021,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932317.jpg,,,,,,,,,, +具鳞水柏枝,Myricaria squamosa,"郭柯,郑度",12188,19880714,新疆维吾尔自治区,3050,河谷谷底,石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468376.jpg,,,,,,,,,, +小花水柏枝,Myricaria wardii,钟补求,6175,19531116,西藏自治区,,河滩边沙质土中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224669.jpg,,,,,,,,,, +小花水柏枝,Myricaria wardii,刘尚武,2869,19890715,青海省,2500,河滩山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01330113.jpg,,,,,,,,,, +小花水柏枝,Myricaria wardii,李全喜,626,19630728,甘肃省,1300~1500,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01330110.jpg,,,,,,,,,, +垂花密脉木,Myrioneuron nutans,中苏云南联合考察团,s.n.,19581213,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01774604.jpg,,,,,,,,,, +垂花密脉木,Myrioneuron nutans,"程树志,李渤生",3803,19830324,西藏自治区,710,林下常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447816.jpg,,,,,,,,,, +穗状狐尾藻,Myriophyllum spicatum,牙克石资源队,597,19860731,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110630.jpg,,,,,,,,,, +穗状狐尾藻,Myriophyllum spicatum,青藏队植被组,13824,19761002,西藏自治区,3650,沼泽水中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803054.jpg,,,,,,,,,, +穗状狐尾藻,Myriophyllum spicatum,河北水产学校,s.n.,19820700,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01787475.jpg,,,,,,,,,, +狐尾藻,Myriophyllum verticillatum,D.E.Boufford et al.,36867,20060818,四川省,4050,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923420.jpg,,,,,,,,,, +狐尾藻,Myriophyllum verticillatum,R. Kish,s.n.,20030902,,101,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879777.jpg,,,,,,,,,, +狐尾藻,Myriophyllum verticillatum,"陈耀东,郎青,马欣堂",1284,19850808,江西省,,水中 沼泽 水深0.5-1.2m,,有花无果,https://image.cvh.ac.cn/files/l/PE/01780175.jpg,,,,,,,,,, +日本全唇兰,Myrmechis japonica,236-6队,181,19750531,北京市,,居庸关,,有花无果,https://image.cvh.ac.cn/files/l/PE/00851039.jpg,,,,,,,,,, +日本全唇兰,Myrmechis japonica,钟补求,6732,19520704,西藏自治区,,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00805828.jpg,,,,,,,,,, +日本全唇兰,Myrmechis japonica,T.T.Yu,21345,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00522792.jpg,,,,,,,,,, +铁仔,Myrsine africana,Q.Wang,7,19991000,四川省,2500,山谷林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115411.jpg,,,,,,,,,, +铁仔,Myrsine africana,白水江采集队,4444,20070509,甘肃省,1300,山坡林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011208.jpg,,,,,,,,,, +铁仔,Myrsine africana,红水河植物考察队,2196,19890616,云南省,2200,石灰岩灌木丛内,,无花有果,https://image.cvh.ac.cn/files/l/PE/02008527.jpg,,,,,,,,,, +,Myrsine seguinii,刘恩德等,1614,20060416,云南省,1340,季风常绿阔叶林,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885280.jpg,,,,,,,,,, +,Myrsine seguinii,井波一雄,207107,19401205,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01883169.jpg,,,,,,,,,, +,Myrsine seguinii,吴俊奇,695,20040627,台湾省,700,"Broadleaf forest, on mountain redeg.",,有花有果,https://image.cvh.ac.cn/files/l/PE/01883121.jpg,,,,,,,,,, +针齿铁仔,Myrsine semiserrata,"刘金鉴,田景全",126,19631012,四川省,900,山谷路旁灌木丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092902.jpg,,,,,,,,,, +针齿铁仔,Myrsine semiserrata,白水江采集队,4347,20070506,甘肃省,850,山坡杂木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011200.jpg,,,,,,,,,, +针齿铁仔,Myrsine semiserrata,华南队,1006,19890523,广西壮族自治区,1100,山地山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/02008538.jpg,,,,,,,,,, +大茨藻,Najas marina,"陈耀东,郎青,马欣堂",1232,19850803,江西省,,水深,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705642.jpg,,,,,,,,,, +大茨藻,Najas marina,Olof Fortelius,s.n.,19450821,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01642083.jpg,,,,,,,,,, +大茨藻,Najas marina,,32,19750817,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01487786.jpg,,,,,,,,,, +小茨藻,Najas minor,"陈,倪",73,19790727,河北省,,水中全株沉水,,无花无果,https://image.cvh.ac.cn/files/l/PE/01787473.jpg,,,,,,,,,, +小茨藻,Najas minor,"陈耀东,郎青,马欣堂",1288,19850808,江西省,15,水深,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705653.jpg,,,,,,,,,, +小茨藻,Najas minor,郭成勇,054368-1,20050917,山东省,100,水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01649534.jpg,,,,,,,,,, +毛冠菊,Nannoglottis carpesioides,"陈又生,高云东",140513,20140712,四川省,3500,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02037425.jpg,,,,,,,,,, +毛冠菊,Nannoglottis carpesioides,杨金祥,906,19590612,陕西省,2850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830192.jpg,,,,,,,,,, +毛冠菊,Nannoglottis carpesioides,郭本兆,7288,19700718,青海省,2800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797694.jpg,,,,,,,,,, +,Nannoglottis delavayi,陈又生,9680,20090831,云南省,3640,松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053107.jpg,,,,,,,,,, +,Nannoglottis delavayi,赵清盛,6256,19780727,四川省,4000,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776243.jpg,,,,,,,,,, +狭舌毛冠菊,Nannoglottis gynura,D.E.Boufford & B.Bartholomew et al.,40764,20090718,西藏自治区,3670,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101639.jpg,,,,,,,,,, +狭舌毛冠菊,Nannoglottis gynura,陈又生,9576,20090824,四川省,3950,林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053108.jpg,,,,,,,,,, +宽苞毛冠菊,Nannoglottis latisquama,滇西北金沙江队,63-6108,19630725,云南省,3600,顶峰附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830191.jpg,,,,,,,,,, +宽苞毛冠菊,Nannoglottis latisquama,植被调查队,2471,19730809,四川省,4000,阳坡高山松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824022.jpg,,,,,,,,,, +大果毛冠菊,Nannoglottis macrocarpa,"陈又生,王泽欢",9311,20090807,西藏自治区,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053096.jpg,,,,,,,,,, +,Nannoglottis souliei,李馨,73064,19570711,四川省,4200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00856079.jpg,,,,,,,,,, +,Nannoglottis yunnanensis,G.Forrest,2407,19060600,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854692.jpg,,,,,,,,,, +,Nannoglottis yunnanensis,T.T.Yu,2322,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854689.jpg,,,,,,,,,, +小蓬,Nanophyton erinaceum,秦仁昌,408,19560719,新疆维吾尔自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02100121.jpg,,,,,,,,,, +小蓬,Nanophyton erinaceum,V.Grubov et al.,684,19780720,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02005175.jpg,,,,,,,,,, +,Nardostachys grandiflora,George Forrest,28767,19300000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01276301.jpg,,,,,,,,,, +大花甘松,Nardostachys grandiflora,管中天,440232,19600803,四川省,4240,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0497557.jpg,,,,,,,,,, +大花甘松,Nardostachys grandiflora,杨竟生,S.N,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0497553.jpg,,,,,,,,,, +匙叶甘松,Nardostachys jatamansi,PE西藏队,PE5145,20170826,西藏自治区,4346,岩壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333345.jpg,,,,,,,,,, +匙叶甘松,Nardostachys jatamansi,李策宏,97-320,19970315,四川省,1100,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232103.jpg,,,,,,,,,, +豆瓣菜,Nasturtium officinale,周口店考察队,V163,20091020,北京市,101,河流中湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112254.jpg,,,,,,,,,, +豆瓣菜,Nasturtium officinale,"川西队,关克俭,王文采等",关王53,19630714,四川省,2550,街道路边或庭园硫黄水小溪边成小群落,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092439.jpg,,,,,,,,,, +豆瓣菜,Nasturtium officinale,徐连升,X140075,20140814,吉林省,868,河边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036824.jpg,,,,,,,,,, +臭味新耳草,Neanotis ingrata,北京队,896494,19890917,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02011799.jpg,,,,,,,,,, +臭味新耳草,Neanotis ingrata,黄放军,147,20040710,湖南省,650,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01590338.jpg,,,,,,,,,, +臭味新耳草,Neanotis ingrata,国际交换队,870224,19870729,四川省,1300,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01590322.jpg,,,,,,,,,, +西南新耳草,Neanotis wightiana,PE-古蔺考察队,722,20100905,四川省,1151~1610,山谷,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01853482.jpg,,,,,,,,,, +西南新耳草,Neanotis wightiana,780植被组,333,19781112,云南省,2000,草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01804156.jpg,,,,,,,,,, +西南新耳草,Neanotis wightiana,陈少卿,16151,19580000,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00736955.jpg,,,,,,,,,, +,Neillia affinis var. affinis,中国西部科学院四川植物,3209,19320606,重庆市,,竹林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710312.jpg,,,,,,,,,, +,Neillia affinis var. affinis,管中天,7456,19590801,四川省,2600,箭竹-铁杉林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710311.jpg,,,,,,,,,, +,Neillia affinis var. affinis,王乾、顾健,SCW2393,20200604,四川,2283,,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274897.jpg,,,,,,,,,, +少花川康绣线梅,Neillia affinis var. pauciflora,北京青年队,97,19860709,贵州省,1800,山坡 沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00973530.jpg,,,,,,,,,, +少花川康绣线梅,Neillia affinis var. pauciflora,,50098,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00973529.jpg,,,,,,,,,, +短序绣线梅,Neillia breviracemosa,北京植物所横断山队,29,19810526,云南省,1950,河谷林下,小灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00061320.jpg,,,,,,,,,, +密花绣线梅,Neillia densiflora,PE西藏队,PE6285,20170911,西藏自治区,2445,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309848.jpg,,,,,,,,,, +福贡绣线梅,Neillia fugongensis,青藏队,6955,19820528,云南省,2600,山坡 常绿阔叶林缘,灌木,有花有果,https://image.cvh.ac.cn/files/l/PE/00972174.jpg,,,,,,,,,, +矮生绣线梅,Neillia gracilis,北京所横断山队,2422,19810803,云南省,3100~3200,云杉林缘时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01147911.jpg,,,,,,,,,, +矮生绣线梅,Neillia gracilis,西师生物系,冕11910,19760609,四川省,2450,桦木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01147904.jpg,,,,,,,,,, +大花绣线梅,Neillia grandiflora,G.Forrest,30023,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00973533.jpg,,,,,,,,,, +大花绣线梅,Neillia grandiflora,西藏中草药普查队,1380,19720821,西藏自治区,2400,林内,灌木,有花有果,https://image.cvh.ac.cn/files/l/PE/00964405.jpg,,,,,,,,,, +毛叶绣线梅,Neillia ribesioides,"张树仁,陈淑荣,朗校安等",1879,20140613,四川省,1400~1600,山坡 林下 沙土,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021401.jpg,,,,,,,,,, +毛叶绣线梅,Neillia ribesioides,白水江采集队,5301,20070521,甘肃省,2079,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860861.jpg,,,,,,,,,, +毛叶绣线梅,Neillia ribesioides,"龙茹,郑宝汇",90031,20090430,湖北省,1700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01857564.jpg,,,,,,,,,, +粉花绣线梅,Neillia rubiflora,青藏队区系组,7823,19820630,云南省,3200~3400,Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01147914.jpg,,,,,,,,,, +粉花绣线梅,Neillia rubiflora,,374,19730710,西藏自治区,2400,针阔混交林,,有花有果,https://image.cvh.ac.cn/files/l/PE/00972124.jpg,,,,,,,,,, +云南绣线梅,Neillia serratisepala,PE西藏队,PE5719,20170903,西藏自治区,1683~2900,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330087.jpg,,,,,,,,,, +云南绣线梅,Neillia serratisepala,周仕顺,1440,20030720,云南省,2500,次生林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01438723.jpg,,,,,,,,,, +云南绣线梅,Neillia serratisepala,"张志松,党成忠等",401177,19640414,贵州省,800,山沟 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01296202.jpg,,,,,,,,,, +,Neillia sinensis var. sinensis,曲仲湘,1307,19350612,重庆市,2050,On clept of rock,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710308.jpg,,,,,,,,,, +,Neillia sinensis var. sinensis,Feng,4950,19400619,云南省,2300,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710307.jpg,,,,,,,,,, +,Neillia sinensis var. sinensis,H.W.Kung,2671,19330606,陕西省,1600,North side of hill slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710306.jpg,,,,,,,,,, +疏花绣线梅,Neillia sparsiflora,,,19590601,四川,1300,荒草坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM707001841.jpg,,,,,,,,,, +,Neillia sparsiflora,"Ten, Siméon (Pater)",462,1917,,,,,,https://image.cvh.ac.cn/files/l/E/E00010553.jpg,,,,,,,,,, +裂叶西康绣线梅,Neillia thibetica var. lobata,西师生74级,12173,19760706,四川省,2100,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00972178.jpg,,,,,,,,,, +,Neillia thibetica var. lobata,"Schneider, Camillo Karl",3558,4-Jun-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00147122.jpg,,,,,,,,,, +,Neillia thibetica var. thibetica,K.L.Chu,6924,19400521,四川省,2790,On open slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710310.jpg,,,,,,,,,, +绣线梅(原变种),Neillia thyrsiflora var. thyrsiflora,白洪兵、海仙,5333241812061305LY,20181206,云南,1556,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009839.jpg,,,,,,,,,, +莲,Nelumbo nucifera,李振宇等,1775,19981029,广西壮族自治区,710,水中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986212.jpg,,,,,,,,,, +莲,Nelumbo nucifera,"陈耀东,官少飞,郎青",754,19840918,江西省,,水深2-3m,,有花无果,https://image.cvh.ac.cn/files/l/PE/01780150.jpg,,,,,,,,,, +莲,Nelumbo nucifera,M.Takahashi et al.,s.n.,19790810,,5,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01699980.jpg,,,,,,,,,, +刻裂羽叶菊,Nemosenecio incisifolius,陈又生,9697,20090901,云南省,2730~2900,山谷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052634.jpg,,,,,,,,,, +刻裂羽叶菊,Nemosenecio incisifolius,安顺队,947,19590822,贵州省,2100,山谷草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01717788.jpg,,,,,,,,,, +藏棒锤瓜,Neoalsomitra clavigera,"洪德元,马欣堂,王强",H12091,20120803,西藏自治区,2200,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01913955.jpg,,,,,,,,,, +藏棒锤瓜,Neoalsomitra clavigera,M.E.Pany,1008,19291119,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0208409.jpg,,,,,,,,,, +藏棒锤瓜,Neoalsomitra clavigera,彭华,董洪进等,673,20111214,云南省,720,pathside,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1228363.jpg,,,,,,,,,, +,Neobrachyactis roylei,FLPH Tibet Expedition,12-0171,20120904,西藏自治区,3785,河谷灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967379.jpg,,,,,,,,,, +西藏短星菊,Neobrachyactis roylei,"张挺, 刘成, 亚吉东",18CS17730,20180917,西藏,3620,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487357.jpg,,,,,,,,,, +西藏短星菊,Neobrachyactis roylei,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13263,20160820,新疆,1793,多石山坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1449314.jpg,,,,,,,,,, +新樟,Neocinnamomum delavayi,林秦文,2013-213,20130601,云南省,1750~2300,峡谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044156.jpg,,,,,,,,,, +新樟,Neocinnamomum delavayi,"方鼎,覃德海,王振刚",22399,19810422,广西壮族自治区,1200,石灰山 山坡林中少见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01994970.jpg,,,,,,,,,, +沧江新樟,Neocinnamomum mekongense,刘恩德,1542,20060226,云南省,1720,河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921095.jpg,,,,,,,,,, +沧江新樟,Neocinnamomum mekongense,青藏队,73-819,19730720,西藏自治区,1600,山坡次生常绿林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00480397.jpg,,,,,,,,,, +,Neofinetia falcata,,s.n.,,福建省,400,树上附生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01517235.jpg,,,,,,,,,, +,Neofinetia falcata,Nie Min Xiang,92116,19920517,江西省,900,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517131.jpg,,,,,,,,,, +,Neofinetia falcata,M.Togasi,1661,19571201,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01517129.jpg,,,,,,,,,, +新型兰,Neogyna gardneriana,中植联广西队,4196,20081018,广西壮族自治区,1100,石灰岩石山、山坡、山谷、疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033329.jpg,,,,,,,,,, +新型兰,Neogyna gardneriana,吉占和,92-113,19921130,云南省,1600,林中 树上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01517577.jpg,,,,,,,,,, +新型兰,Neogyna gardneriana,H.T.Tsai,55556,19340321,云南省 ,0~1700,,herb,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0637103.jpg,,,,,,,,,, +,Neohymenopogon parasiticus,青藏队,6020,19750627,西藏自治区,2100~2700,铁杉林下大石头上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00793366.jpg,,,,,,,,,, +,Neohymenopogon parasiticus,George Forrest,25301,19240000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00793355.jpg,,,,,,,,,, +石丁香,Neohymenopogon parasiticus,"余新林, 赵玮",BSGLGStc368,20161019,云南,2022,中山湿性常绿阔叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1450514.jpg,,,,,,,,,, +,Neolitsea conigemma,"李渤生,程树志",4582,19830510,西藏自治区,700~800,半常绿雨林中二层乔木,,无花无果,https://image.cvh.ac.cn/files/l/PE/00701576.jpg,,,,,,,,,, +团花新木姜子,Neolitsea homilantha,刘恩德等,3613,20120324,云南省,2360,in forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922271.jpg,,,,,,,,,, +团花新木姜子,Neolitsea homilantha,"张志松,张永田",6995,19600713,贵州省,1300,林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01283699.jpg,,,,,,,,,, +团花新木姜子,Neolitsea homilantha,,241,19750620,西藏自治区,2450,杂灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00836647.jpg,,,,,,,,,, +大叶新木姜子,Neolitsea levinei,广西调查队,3177,19530804,广西壮族自治区,,山顶,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986694.jpg,,,,,,,,,, +大叶新木姜子,Neolitsea levinei,罗仲春,242,19790802,湖南省,940,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01814523.jpg,,,,,,,,,, +大叶新木姜子,Neolitsea levinei,,1456,19560900,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01539078.jpg,,,,,,,,,, +灰白新木姜子,Neolitsea pallens,"李渤生,李辉",13158,19900828,西藏自治区,2100~2300,乔松林下 常见灌木,,无花无果,https://image.cvh.ac.cn/files/l/PE/01486816.jpg,,,,,,,,,, +灰白新木姜子,Neolitsea pallens,青藏队植被组,4466,19750630,,2200~2300,阴坡常绿林内,,无花无果,https://image.cvh.ac.cn/files/l/PE/00049316.jpg,,,,,,,,,, +四川新木姜子,Neolitsea sutchuanensis,生态室高原组,15511,19800911,西藏自治区,2350~2400,林下时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073049.jpg,,,,,,,,,, +四川新木姜子,Neolitsea sutchuanensis,C.S.Chang et al.,SI1119,20100704,四川省,1634,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900413.jpg,,,,,,,,,, +,Neomicrocalamus microphyllus,"李渤生,程树志等",2131,19821211,西藏自治区,1700~2100,常绿阔叶林下 带阴湿沟谷中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644465.jpg,,,,,,,,,, +,Neomicrocalamus prainii,"王印政,彭华,邓德山等",4231,19981019,云南省,1650,山地 山坡石山,,有花有果,https://image.cvh.ac.cn/files/l/PE/01554299.jpg,,,,,,,,,, +新乌檀,Neonauclea griffithii,周仕顺,2196,20050123,云南省,1000,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01590325.jpg,,,,,,,,,, +新乌檀,Neonauclea griffithii,"李渤生,程树志",2311,19821223,西藏自治区,1400~1500,常绿阔叶林中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01537480.jpg,,,,,,,,,, +新乌檀,Neonauclea griffithii,王启无,81146,19361000,云南省 ,1000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0472846.jpg,,,,,,,,,, +,Neopallasia pectinata,陈全胜,CF-0008-223,20170825,内蒙古自治区,696,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246913.jpg,,,,,,,,,, +,Neopallasia pectinata,汪劲武等,台152,19800722,山西省,1050,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235637.jpg,,,,,,,,,, +短果念珠芥,Neotorularia brachycarpa,"李渤生,程树志",5436,19830712,西藏自治区,2950,江边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01125277.jpg,,,,,,,,,, +短果念珠芥,Neotorularia brachycarpa,李渤生等,11357,19870904,新疆维吾尔自治区,3900,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01125257.jpg,,,,,,,,,, +短梗念珠芥,Neotorularia brevipes,新疆综合考察队,10349,19590603,新疆维吾尔自治区,1100,山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/01124947.jpg,,,,,,,,,, +垫状蚓果芥,Neotorularia conferta,吴玉虎,976,19800701,青海省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/110821.jpg,,,,,,,,,, +蚓果芥,Neotorularia humilis,孔冬梅,k0454,20140725,山西省,2191,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036728.jpg,,,,,,,,,, +蚓果芥,Neotorularia humilis,何廷农,987,19890721,青海省,2600,河滩 砾石地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998087.jpg,,,,,,,,,, +蚓果芥,Neotorularia humilis,青藏队,870191,19870625,新疆维吾尔自治区,3100,山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998086.jpg,,,,,,,,,, +西藏念珠芥,Neotorularia tibetica,王金亭,3402,19610616,西藏自治区,3900,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00328988.jpg,,,,,,,,,, +西藏念珠芥,Neotorularia tibetica,王为义等,191,19850615,青海省,3950,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/109593.jpg,,,,,,,,,, +西藏念珠芥,Neotorularia tibetica,青藏队,吴玉虎,2074,19880722,新疆维吾尔自治区,4100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/148781.jpg,,,,,,,,,, +念珠芥,Neotorularia torulosa,新疆调查队,102,19570613,新疆维吾尔自治区 ,0,古老的冲积平原上,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0499563.jpg,,,,,,,,,, +,Neotorularia torulosa,蔡杰,13CS6945,20130602,西藏自治区,3958,山坡灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1331560.jpg,,,,,,,,,, +尖唇鸟巢兰,Neottia acuminata,"D.E.Boufford,L.Y.Chen,J.L.Dong etc.",42616,20100804,四川省,3665~4460,gentle to steep slopes and adjacent limestone cliffs and sandy scree slope soil surface mostly moss,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033533.jpg,,,,,,,,,, +尖唇鸟巢兰,Neottia acuminata,"Jin Xh,Wang LS Wang Q et al.",ST2774,,西藏自治区,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977007.jpg,,,,,,,,,, +尖唇鸟巢兰,Neottia acuminata,段俊喜,577,19560715,河北省,1950,阴坡丛林下阴处腐殖土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911421.jpg,,,,,,,,,, +二花对叶兰,Neottia biflora,刘成;张挺;姜虹;左政裕;李昌洪,19CS18015,20190720,四川,3057,林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551497.jpg,,,,,,,,,, +北方鸟巢兰,Neottia camtschatea,王忠涛等,346,20070625,新疆维吾尔自治区,2100,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033526.jpg,,,,,,,,,, +北方鸟巢兰,Neottia camtschatea,Luo Yi-bo,659,20010817,四川省,3100,Larix 人工林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527258.jpg,,,,,,,,,, +北方鸟巢兰,Neottia camtschatea,,青龙1101,19710910,河北省,1000,山坡下部,,无花有果,https://image.cvh.ac.cn/files/l/PE/01272760.jpg,,,,,,,,,, +高山鸟巢兰,Neottia listeroides,"Jin Xh,Wang LS,Wang Q et al.",ST2560,20130808,西藏自治区,3400,高山灌丛和草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02002634.jpg,,,,,,,,,, +高山鸟巢兰,Neottia listeroides,"Jin Xh,Wang LS,Wang Q et al.",ST2246,20130805,云南省,2000~3400,apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02002543.jpg,,,,,,,,,, +高山鸟巢兰,Neottia listeroides,,317,19880723,山西省,2000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911414.jpg,,,,,,,,,, +毛脉对叶兰,Neottia longicaulis,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201512,20200805,西藏,2549,竹林中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508537.jpg,,,,,,,,,, +毛脉对叶兰,Neottia longicaulis,刘成;张挺;姜虹;左政裕;李昌洪,19CS18031,20190720,四川,2440,次生林间开阔灌草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551504.jpg,,,,,,,,,, +,Neottia megalochila,北京所横断山队,2401,19810730,云南省,3300,蚂蝗坝附近 Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487476.jpg,,,,,,,,,, +,Neottia megalochila,,H-19,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377470.jpg,,,,,,,,,, +西藏对叶兰,Neottia pinetorum,魏来、郝加琛,15463,20150729,西藏,3700,山坡草地,草本,,https://image.cvh.ac.cn/files/l/BNU/0025967.jpg,,,,,,,,,, +西藏对叶兰,Neottia pinetorum,刘成,马梁梁,付小刚,20CS19580,20200710,四川,2815,沟边林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506290.jpg,,,,,,,,,, +川西对叶兰,Neottia smithii,刘成;张挺;李昌洪,19CS18128,20190726,四川,3798,次生林林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1552007.jpg,,,,,,,,,, +大花对叶兰,Neottia wardii,刘正宇,2035961,20030420,贵州省,1400,杂木林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0017861.jpg,,,,,,,,,, +大花对叶兰,Neottia wardii,张挺,刘成,左政裕,姜虹,李昌洪,19CS18356,20190715,四川,2532,云杉林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506421.jpg,,,,,,,,,, +大花兜被兰,Neottianthe camptoceras,,71063,19570518,四川省,2700,木枣上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00522923.jpg,,,,,,,,,, +大花兜被兰,Neottianthe camptoceras,俞德浚,6621,192906,云南省,3100,upon precipuon rocks,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0024147.jpg,,,,,,,,,, +大花兜被兰,Neottianthe camptoceras,E.H. Wilson,4623,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028570.jpg,,,,,,,,,, +川西兜被兰,Neottianthe compacta,"Jin Xh,Wang LS,Wang Q et al.",ST2780,,西藏自治区,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01978383.jpg,,,,,,,,,, +川西兜被兰,Neottianthe compacta,Luo Yi-bo,679,20010824,四川省,3200,山谷 溪旁 灌丛旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527271.jpg,,,,,,,,,, +密花兜被兰,Neottianthe cucullata var. calcicola,刘成,方云花,宋江,刘波,赵丹丹,17CS16029,20170921,云南,3351,山谷河边岩壁上,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1459881.jpg,,,,,,,,,, +,Neottianthe cucullata var. calcicola,余奇、熊先华、李琳霖,THP-KD-4851,20170814,四川,3932,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0240750.jpg,,,,,,,,,, +侧花兜被兰,Neottianthe secundiflora,"李渤生,李辉,阳艺",13331A,19900901,西藏自治区,3100,岩石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506900.jpg,,,,,,,,,, +侧花兜被兰,Neottianthe secundiflora,H.T.Tsai,57719,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00523046.jpg,,,,,,,,,, +小裂叶荆芥,Nepeta annua,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13886,20160911,新疆,1118,石质干燥山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1450275.jpg,,,,,,,,,, +小裂叶荆芥,Nepeta annua,南水北调队,5707,19600519,四川省,1850,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00245080.jpg,,,,,,,,,, +蓝花荆芥,Nepeta coerulescens,PE西藏考察队,8014,20180629,西藏自治区,4940,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332588.jpg,,,,,,,,,, +蓝花荆芥,Nepeta coerulescens,向春雷等,2674,20100810,四川省,3752,"Roadside,in thickets",,有花无果,https://image.cvh.ac.cn/files/l/PE/01916229.jpg,,,,,,,,,, +密花荆芥,Nepeta densiflora,秦仁昌,1119,19560805,新疆维吾尔自治区,2500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00825096.jpg,,,,,,,,,, +密花荆芥,Nepeta densiflora,"张永田,郞楷永",1372,19650807,西藏自治区,3900,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00825062.jpg,,,,,,,,,, +齿叶荆芥,Nepeta dentata,PE西藏队,PE5497,20170831,西藏自治区,3583,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331162.jpg,,,,,,,,,, +齿叶荆芥,Nepeta dentata,D.E.Boufford et al,35883,20060806,四川省,3480~3640,Forest margin.,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883889.jpg,,,,,,,,,, +异色荆芥,Nepeta discolor,"洪德元,马欣堂,王强",H12027,20120805,西藏自治区,3400,湖边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328153.jpg,,,,,,,,,, +丛卷毛荆芥,Nepeta floccosa,青藏队,7514,19750907,西藏自治区,5300,高山流石坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/218186.jpg,,,,,,,,,, +藏荆芥,Nepeta hemsleyana,PE西藏队,PE6724,20170916,西藏自治区,3568,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331180.jpg,,,,,,,,,, +藏荆芥,Nepeta hemsleyana,王启无,67964,193507,云南省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/218092.jpg,,,,,,,,,, +江达荆芥,Nepeta jomdaensis,"洪德元,王强",XZ014,20100825,西藏自治区,3410,河边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328164.jpg,,,,,,,,,, +绢毛荆芥,Nepeta kokamirica,西植新疆队,2427,1978/8/16,新疆维吾尔族自治区,2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0337926.jpg,,,,,,,,,, +穗花荆芥,Nepeta laevigata,PE西藏队,PE5797,20170903,西藏自治区,3401,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331181.jpg,,,,,,,,,, +俘宝盖草,Nepeta lamiopsis,"李渤生,李辉,阳艺",13945B,19900920,西藏自治区,4400~4500,高山草甸常见种,,无花无果,https://image.cvh.ac.cn/files/l/PE/01196365.jpg,,,,,,,,,, +俘宝盖草,Nepeta lamiopsis,M.Wakabayashi etc.,9715111,19970808,,3730,slope meadow,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261315.jpg,,,,,,,,,, +白绵毛荆芥,Nepeta leucolaena,崔友文,683,19490826,内蒙古自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/218314.jpg,,,,,,,,,, +白绵毛荆芥,Nepeta leucolaena,崔友文,,19490829,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/78741.jpg,,,,,,,,,, +,Nepeta leucolaena,高信芬、涂卫国、何海、乔永康,7250,20030912,西藏自治区,3030,河边灌丛下,半灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0191003.jpg,,,,,,,,,, +长苞荆芥,Nepeta longibracteata,,968,19720802,西藏自治区,5200~5300,沙石质山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00923250.jpg,,,,,,,,,, +长苞荆芥,Nepeta longibracteata,,552,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00825263.jpg,,,,,,,,,, +膜叶荆芥,Nepeta membranifolia,D.E.Boufford et al.,30179,20000818,西藏自治区,2975,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579742.jpg,,,,,,,,,, +膜叶荆芥,Nepeta membranifolia,D.E.Boufford et al.,37065,20060822,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579638.jpg,,,,,,,,,, +膜叶荆芥,Nepeta membranifolia,孙航,李新辉,陈林杨等,SunH-07ZX-3235,20101003,云南,2423,河边坡地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1389123.jpg,,,,,,,,,, +康藏荆芥,Nepeta prattii,"洪德元,潘开玉,徐超,刘彬彬",3266,20170831,四川省,3254,roadsides,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328162.jpg,,,,,,,,,, +康藏荆芥,Nepeta prattii,李才贵,221,19840828,山西省,2100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081127.jpg,,,,,,,,,, +康藏荆芥,Nepeta prattii,D.E.Bottrill,32346,20040814,西藏自治区,3650~3730,Open area at lower end of open ravjne and ag margins of stream in open area.,,有花有果,https://image.cvh.ac.cn/files/l/PE/01884200.jpg,,,,,,,,,, +刺尖荆芥,Nepeta pungens,八一农学院,682,,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00825407.jpg,,,,,,,,,, +刺尖荆芥,Nepeta pungens,八一农学院,682,,新疆维吾尔族自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0095233.jpg,,,,,,,,,, +刺尖荆芥,Nepeta pungens,,3249,60.05.31,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00032850.jpg,,,,,,,,,, +块根荆芥,Nepeta raphanorhiza,西藏草药普查队,1978,19721009,西藏自治区,4100,山坡水沟傍灌木下成丛生长,,有花无果,https://image.cvh.ac.cn/files/l/PE/00923256.jpg,,,,,,,,,, +无柄荆芥,Nepeta sessilis,武素功,2492,19590909,四川省,3100,山坡阳处灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/218383.jpg,,,,,,,,,, +无柄荆芥,Nepeta sessilis,冯国楣,2111,19390821,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/484552.jpg,,,,,,,,,, +无柄荆芥,Nepeta sessilis,蔡杰,刘成,何谐,16CS11713,20160822,甘肃,2884,河边林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435376.jpg,,,,,,,,,, +狭叶芥荆,Nepeta souliei,PE西藏队,PE6841,20170917,西藏自治区,3971,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331011.jpg,,,,,,,,,, +狭叶芥荆,Nepeta souliei,D. E. Boufford et al.,38544,20070729,四川省,3085~3200,"Open, stongy areas at base of ledges and along single track road and adjacent forests of Abies, Prunus, Salix, Cornus and Betula-Hippophae and Populus near river",,有花无果,https://image.cvh.ac.cn/files/l/PE/01913997.jpg,,,,,,,,,, +多花荆芥,Nepeta stewartiana,PLPH Tibet expedition,12-1560,20120917,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011100.jpg,,,,,,,,,, +多花荆芥,Nepeta stewartiana,D. E. Boufford et al.,35857,20060806,四川省,3480~3640,"Valley with scattered Picea, Cotoneaster, Rosa and Rubus and meadow with mixed herbaceous plants",,有花无果,https://image.cvh.ac.cn/files/l/PE/01913998.jpg,,,,,,,,,, +多花荆芥,Nepeta stewartiana,王薇等,1660,19590923,辽宁省,,山坡灌丛间,,有花无果,https://image.cvh.ac.cn/files/l/PE/01688467.jpg,,,,,,,,,, +松潘荆芥,Nepeta sungpanensis,H.Migo,s.n.,19320803,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00825517.jpg,,,,,,,,,, +松潘荆芥,Nepeta sungpanensis,,919,19620721,四川省,1850,阳坡半山路旁同生草丛及菊科植物同生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00825518.jpg,,,,,,,,,, +平卧荆芥,Nepeta supina,青藏队,76-8665,19760816,西藏自治区,5200~5800,高山流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00825515.jpg,,,,,,,,,, +平卧荆芥,Nepeta supina,陈家辉,庄会富,刘德团,边巴扎西,YangYP-Q-0026,20080826,西藏,3639,路边石隙中,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1389206.jpg,,,,,,,,,, +喀什荆芥,Nepeta taxkorganica,新疆采集队,1197,1978/7/7,新疆维吾尔族自治区,4580,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0334866.jpg,,,,,,,,,, +细花荆芥,Nepeta tenuiflora,周口店考察队,123,20080927,北京市,140,草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112075.jpg,,,,,,,,,, +细花荆芥,Nepeta tenuiflora,向春雷等,2586,20100804,四川省,3158,"Roadside,in thickets",,有花有果,https://image.cvh.ac.cn/files/l/PE/01916228.jpg,,,,,,,,,, +细花荆芥,Nepeta tenuiflora,青藏队,3504,19810717,云南省,4290,山坡沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00923274.jpg,,,,,,,,,, +川西荆芥,Nepeta veitchii,Liu Ebde等,2106,20090718,云南省,4120,alpine grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885368.jpg,,,,,,,,,, +川西荆芥,Nepeta veitchii,,750,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00825532.jpg,,,,,,,,,, +圆齿荆芥,Nepeta wilsonii,D.E.Boufford et al,35670,20060804,四川省,3850~3870,slopes above meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883897.jpg,,,,,,,,,, +圆齿荆芥,Nepeta wilsonii,G.Forrest,12813,19140000,云南省,3666,Open stony pasture on the margin of scrub and forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/00921620.jpg,,,,,,,,,, +淡紫荆芥,Nepeta yanthina,"李渤生,郑度",11017,19870814,西藏自治区,4200,湖滨 砂砾地中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345326.jpg,,,,,,,,,, +淡紫荆芥,Nepeta yanthina,陈家辉,韩希,王东超,王广艳,杨大松,李资磊,张春林,陶云芬,YangYP-Q-4004,20110829,西藏,2657,林中,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1389217.jpg,,,,,,,,,, +札达荆芥,Nepeta zandaensis,青藏队植被组,12956,19760706,西藏自治区,4100,山溪岸边砂砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00923280.jpg,,,,,,,,,, +薄柱草,Nertera sinensis,"董洪进,王泽欢,尹志坚",WM-0265,20160428,云南省,1100~1400,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112470.jpg,,,,,,,,,, +薄柱草,Nertera sinensis,北京队,896446,19890916,广西壮族自治区,600~800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011798.jpg,,,,,,,,,, +薄柱草,Nertera sinensis,PE-古蔺考察队,736,20100905,四川省,1151~1610,"山谷,林中",,无花有果,https://image.cvh.ac.cn/files/l/PE/01864798.jpg,,,,,,,,,, +广布芋兰,Nervilia aragoana,红水河植物考察队,1755,19890529,云南省,1350,石灰岩杂林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989309.jpg,,,,,,,,,, +广布芋兰,Nervilia aragoana,,8458,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01720352.jpg,,,,,,,,,, +毛唇芋兰,Nervilia fordii,HK kadoorie Team,651,20010512,云南省,1100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097139.jpg,,,,,,,,,, +毛唇芋兰,Nervilia fordii,中植联广西队,245,20080512,广西壮族自治区,300,石灰岩石山、山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033464.jpg,,,,,,,,,, +毛唇芋兰,Nervilia fordii,,s.n.,,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00523335.jpg,,,,,,,,,, +类芦,Neyraudia reynaudiana,"Liu Yanchun,Tang Ying",354,20100911,云南省,1107,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088489.jpg,,,,,,,,,, +类芦,Neyraudia reynaudiana,林彦云,,20161109,福建省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079309.jpg,,,,,,,,,, +,Nitraria roborowskii,中国科学院新疆综合考察队,515,19590605,新疆维吾尔自治区,3030,河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100881.jpg,,,,,,,,,, +,Nitraria roborowskii,,6237,19480802,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01685954.jpg,,,,,,,,,, +,Nitraria roborowskii,,43,,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607241.jpg,,,,,,,,,, +白刺,Nitraria sibirica,Anonymous,268,19590610,新疆维吾尔自治区,3000,坡积物有深层沙,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088532.jpg,,,,,,,,,, +白刺,Nitraria sibirica,中苏队,,19600700,内蒙古自治区,,湖边盐渍化土壤,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078462.jpg,,,,,,,,,, +,Nitraria tangutorum,,M94,19600629,新疆维吾尔自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02309122.jpg,,,,,,,,,, +,Nitraria tangutorum,何廷农,969,19890721,青海省,2600,干山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309121.jpg,,,,,,,,,, +,Nitraria tangutorum,中苏队,81,19600800,内蒙古自治区,,半固定沙丘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078466.jpg,,,,,,,,,, +,Nomocharis aperta,北京所横断山队,1039,19810622,云南省,3300~3500,冷杉林间草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01479637.jpg,,,,,,,,,, +开瓣豹子花,Nomocharis aperta,M.l'Abbe Delavay,4178,18890618,云南省 ,0~3000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0643934.jpg,,,,,,,,,, +,Nomocharis farreri,北京植物所横断山队,561,19810607,云南省,2700,亚高山丛林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00036086.jpg,,,,,,,,,, +,Nomocharis farreri,George Forrest,29942,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00036084.jpg,,,,,,,,,, +多斑豹子花,Nomocharis meleagrina,北京植物所横断山队,1483,19810713,云南省,3300,冷杉林间 冷杉林带上部草地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01479632.jpg,,,,,,,,,, +多斑豹子花,Nomocharis meleagrina,管中天,8726,19590620,四川省,3000~3300,高山草地,山坡上部,,有花无果,https://image.cvh.ac.cn/files/l/PE/00330274.jpg,,,,,,,,,, +,Nomocharis saluenensis,汤宗孝,503,19810703,云南省,3650,山坡 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01595945.jpg,,,,,,,,,, +,Nomocharis saluenensis,生态室高原组,14757,19800902,西藏自治区,3900~4200,高山 灌丛草甸中时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01570234.jpg,,,,,,,,,, +,Nostolachma jenkinsii,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11980,20161119,西藏,808,林下小路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445193.jpg,,,,,,,,,, +假百合,Notholirion bulbuliferum,倪志诚等,3057,19820819,西藏自治区,3800,冷杉林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948651.jpg,,,,,,,,,, +假百合,Notholirion bulbuliferum,D. E. Boufford et al.,42425,20100730,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01896776.jpg,,,,,,,,,, +假百合,Notholirion bulbuliferum,汤宗孝,654,19810721,云南省,3460,山坡 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01595319.jpg,,,,,,,,,, +钟花假百合,Notholirion campanulatum,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0510,20130806,西藏自治区,4131,灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000325.jpg,,,,,,,,,, +钟花假百合,Notholirion campanulatum,金效华,YN-ET 1531,20090716,云南省,3950,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01944899.jpg,,,,,,,,,, +钟花假百合,Notholirion campanulatum,G.Forrest,24776,19240800,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01713533.jpg,,,,,,,,,, +大叶假百合,Notholirion macrophyllum,PE西藏考察队,7878,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332594.jpg,,,,,,,,,, +大叶假百合,Notholirion macrophyllum,T.T.Yu,7548,19370802,四川省,2800,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01945889.jpg,,,,,,,,,, +白苞芹,Nothosmyrnium japonicum,北京队,2556,19530608,广西壮族自治区,,溪水旁,竹林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991819.jpg,,,,,,,,,, +白苞芹,Nothosmyrnium japonicum,孙学刚等,20010353,20010815,甘肃省,2450,沟谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833851.jpg,,,,,,,,,, +白苞芹,Nothosmyrnium japonicum,Nie Min Xiang,9010147,19901021,江西省,900,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575512.jpg,,,,,,,,,, +少裂西藏白苞芹,Nothosmyrnium xizangense var. simpliciorum,PE西藏队,PE6836,20170917,西藏自治区,3971,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330309.jpg,,,,,,,,,, +少裂西藏白苞芹,Nothosmyrnium xizangense var. simpliciorum,陈晓澄等,6154,20140807,西藏,3146,灌林下缘边,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00021284.jpg,,,,,,,,,, +钩萼草,Notochaete hamosa,Southeast Tibet Expedition Team,482,20090820,西藏自治区,2424,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02328584.jpg,,,,,,,,,, +钩萼草,Notochaete hamosa,刘恩德等,380,20031009,云南省,1700,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920614.jpg,,,,,,,,,, +长刺钩萼草,Notochaete longiaristata,PE西藏队,PE6247,20170910,西藏自治区,2488~3062,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330975.jpg,,,,,,,,,, +长刺钩萼草,Notochaete longiaristata,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET1231,20080703,云南省,2000,evergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328583.jpg,,,,,,,,,, +澜沧羌活,Notopterygium forrestii,白龙江考察队,307,19980718,甘肃省,2200,山地 山坡 密林 水旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01560832.jpg,,,,,,,,,, +澜沧羌活,Notopterygium forrestii,G.Forrest,13342,19140900,云南省,3333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033261.jpg,,,,,,,,,, +澜沧羌活,Notopterygium forrestii,武素功,3581,19591029,四川省,2000,江边,阳坡,松栗林下,,,https://image.cvh.ac.cn/files/l/KUN/1292749.jpg,,,,,,,,,, +宽叶羌活,Notopterygium franchetii,,s.n.,,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0439912.jpg,,,,,,,,,, +宽叶羌活,Notopterygium franchetii,A. Henry,6629,1889.3,湖北,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0002377.jpg,,,,,,,,,, +宽叶羌活,Notopterygium franchetii,R.P.Farges,空,空,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0002379.jpg,,,,,,,,,, +羌活,Notopterygium incisum,"唐宇丹,林秦文",2010-001,20100912,西藏自治区,4361,湖岸 全光照 沙石,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038361.jpg,,,,,,,,,, +羌活,Notopterygium incisum,Anonymous,9580,19750803,四川省,3500,冷云杉林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01941573.jpg,,,,,,,,,, +羌活,Notopterygium incisum,白龙江考察队,567,19980721,甘肃省,3000,山地 山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560838.jpg,,,,,,,,,, +菱叶紫菊,Notoseris rhombiformis,"H.Li,S.X.Yang,R.Li etc.",240,20020814,云南省,2600,常绿阔叶林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091130.jpg,,,,,,,,,, +菱叶紫菊,Notoseris rhombiformis,方伟,上官法智,魏志丹,3892,20120917,云南省 ,2544,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1249500.jpg,,,,,,,,,, +栌菊木,Nouelia insignis,FLPH Sichuan Expedition,151949,20150901,四川省,2200,干热河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084163.jpg,,,,,,,,,, +栌菊木,Nouelia insignis,"刘恩德,向春雷,方伟等",499,20110530,云南省,1762,箐沟中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064722.jpg,,,,,,,,,, +白睡莲,Nymphaea alba,"张永田,郞楷永",2673,19650910,西藏自治区,3680,花池中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00951451.jpg,,,,,,,,,, +白睡莲,Nymphaea alba,章绍尧,514,,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00951449.jpg,,,,,,,,,, +睡莲,Nymphaea tetragona,"傅国勋,倪瑞生",19,19810731,河北省,1540,水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01219310.jpg,,,,,,,,,, +睡莲,Nymphaea tetragona,Miyoshi Furuse,27924,19540818,,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01104797.jpg,,,,,,,,,, +睡莲,Nymphaea tetragona,,海40,19720507,北京市,,水生,,有花有果,https://image.cvh.ac.cn/files/l/PE/00990025.jpg,,,,,,,,,, +金银莲花,Nymphoides indica,叶德闲,1249,19580719,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02103256.jpg,,,,,,,,,, +金银莲花,Nymphoides indica,张宪春,,19991026,四川省,2680,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02103250.jpg,,,,,,,,,, +金银莲花,Nymphoides indica,李彩云,374,19960906,安徽省,,出水的田中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02103241.jpg,,,,,,,,,, +荇菜,Nymphoides peltata,沈绍金,414,19570619,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0533503.jpg,,,,,,,,,, +荇菜,Nymphoides peltata,刘林翰,1476,19580422,湖南省,660,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0533498.jpg,,,,,,,,,, +华南蓝果树,Nyssa javanica,中苏队,8033,19570420,云南省,1100,阴处沟底斜坡密林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100893.jpg,,,,,,,,,, +华南蓝果树,Nyssa javanica,东兴,7,19731021,广西壮族自治区,,山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01991251.jpg,,,,,,,,,, +显脉鸢尾兰,Oberonia acaulis,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T261,20160917,西藏自治区,1594,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233041.jpg,,,,,,,,,, +绿春鸢尾兰,Oberonia acaulis,Jin Xiaohua,11835,20111101,云南省,1800~2300,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032941.jpg,,,,,,,,,, +狭叶鸢尾兰,Oberonia caulescens,"陈心启,梁松筠",104,19920710,云南省,1700~1800,常绿阔叶林内 树干上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230190.jpg,,,,,,,,,, +狭叶鸢尾兰,Oberonia caulescens,C.M.Wang et al.,3297,19980530,台湾省,2240,On roadside of forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517687.jpg,,,,,,,,,, +广西鸢尾兰,Oberonia kwangsiensis,北京队,890656,19890430,广西壮族自治区,700,山沟附生林干上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989253.jpg,,,,,,,,,, +广西鸢尾兰,Oberonia kwangsiensis,青藏考察队,9205,19820810,云南省,1300~1400,山坡常绿阔叶林中附生,,无花无果,https://image.cvh.ac.cn/files/l/PE/00523170.jpg,,,,,,,,,, +小花鸢尾兰,Oberonia mannii,金效华,13043,20120503,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032916.jpg,,,,,,,,,, +小花鸢尾兰,Oberonia mannii,"李渤生,程树志",2403,19821231,西藏自治区,1700,常绿阔叶林树上石上偶见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01446122.jpg,,,,,,,,,, +橘红鸢尾兰,Oberonia obcordata,"李渤生,程树志",1494,19821026,西藏自治区,1800,林下,石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00523185.jpg,,,,,,,,,, +裂唇鸢尾兰,Oberonia pyrulifera,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T194,20160915,西藏自治区,1524,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233072.jpg,,,,,,,,,, +裂唇鸢尾兰,Oberonia pyrulifera,Jin Xiaohua,11696,20111005,云南省,1700,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032944.jpg,,,,,,,,,, +,Odontites vulgaris,段长虹,Dch0491,20140802,山西省,1705,河谷地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034263.jpg,,,,,,,,,, +,Odontites vulgaris,"李振宇,范晓虹,傅连中等",12462,20120730,新疆维吾尔自治区,,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005328.jpg,,,,,,,,,, +西南齿唇兰,Odontochilus elwesii,中苏队,3336,19560611,云南省,800,半阴处岩石上密林边潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/432050.jpg,,,,,,,,,, +西南齿唇兰,Odontochilus elwesii,简焯坡,51698,19650808,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/432052.jpg,,,,,,,,,, +双囊齿唇兰,Odontochilus lanceolatus,秦仁昌; R.C. Ching,7088,1928/9/9,广西; KWANGSI,3800,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028277.jpg,,,,,,,,,, +齿爪齿唇兰,Odontochilus poilanei,李健玲、邹春玉、黄金全,GPS190816015,20190816,广西,~,山坡,林下,黄壤;少见,腐生草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00434496.jpg,,,,,,,,,, +高山水芹,Oenanthe hookeri,四川省植被调查队,乡2876,19730704,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01514392.jpg,,,,,,,,,, +高山水芹,Oenanthe hookeri,"应俊生,洪德元",650654,19650719,西藏自治区,2200,水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00759221.jpg,,,,,,,,,, +高山水芹,Oenanthe hookeri,H.T.Tsai,57962,19330919,云南省,2600,In forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/00759300.jpg,,,,,,,,,, +水芹,Oenanthe javanica,"H.Li,S.X.Yang,R.Li etc.",441,20020816,云南省,2560,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090393.jpg,,,,,,,,,, +水芹,Oenanthe javanica,"Daeshin Kim,Sukyoung Kim",Halla0443,20140902,,238,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090079.jpg,,,,,,,,,, +水芹,Oenanthe javanica,农田杂草调查组,220,19700627,湖北省,,水田,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078251.jpg,,,,,,,,,, +线叶水芹,Oenanthe linearis,"H.Li,S.X.Yang,R.Li etc.",412,20020816,云南省,2550,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090394.jpg,,,,,,,,,, +线叶水芹,Oenanthe linearis,巴山采集队,5913,20120702,四川省,1200,沼泽中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066291.jpg,,,,,,,,,, +多裂叶水芹,Oenanthe thomsonii,三峡考察队,1547,20080715,重庆市,1730~1826,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028611.jpg,,,,,,,,,, +多裂叶水芹,Oenanthe thomsonii,S.Noshiro et al.,9240991,19920622,,2000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01631808.jpg,,,,,,,,,, +多裂叶水芹,Oenanthe thomsonii,"汪劲武,施志诚",244,19770902,陕西省,1500,路边水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01514428.jpg,,,,,,,,,, +,Ohwia caudata,覃海宁等,18301,20041122,江西省,54,山谷,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01861743.jpg,,,,,,,,,, +,Ohwia caudata,李国凤,64803,19571020,重庆市,840,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01838877.jpg,,,,,,,,,, +,Ohwia caudata,F.T.Wang,22238,19300830,四川省,1200,In open thya forest floor,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838875.jpg,,,,,,,,,, +,Olea europaea subsp. cuspidata,陈又生等,11-059,20110727,四川省,1800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967738.jpg,,,,,,,,,, +锈鳞木犀榄,Olea europaea subsp. cuspidata,C.W. Wang,65411,1935/08/,四川,,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0043640.jpg,,,,,,,,,, +锈鳞木犀榄,Olea europaea subsp. cuspidata,王国栋,W07078,20070502,广东省,,路旁,灌木,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00048051.jpg,,,,,,,,,, +,Olea gamblei,陈伟烈,15077,19800919,西藏自治区,2000,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01506201.jpg,,,,,,,,,, +,Olea laxiflora,毛品一,515,19560925,云南省,1600,阴湿河旁疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01511443.jpg,,,,,,,,,, +,Olea laxiflora,T. T. Yu,20988,1938/11/7,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00046853.jpg,,,,,,,,,, +,Olea tsoongii,刘恩德,徐洲锋,马文章,4052,20131012,云南省 ,1490,"forest margin, in thickets",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1228573.jpg,,,,,,,,,, +,Olea tsoongii,岳邦涛,1117,19820724,云南省,1400,灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1257373.jpg,,,,,,,,,, +云南木犀榄,Olea tsoongii,"蔡杰, 张挺, 蔡磊, 莫明忠, 李昌洪",16CS11796,20161223,云南,1908,石灰山灌丛,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1455439.jpg,,,,,,,,,, +新疆??菊,Olgaea pectinata,西植新疆队,2098,19780729,新疆维吾尔自治区,2900,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00552146.jpg,,,,,,,,,, +新疆??菊,Olgaea pectinata,西植新疆队,2098,1978/7/29,新疆,2900,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0337304.jpg,,,,,,,,,, +新疆猬菊,Olgaea pectinata,西值新疆队,78-2098,1978.07.,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042482.jpg,,,,,,,,,, +假九眼菊,Olgaea roborowskyi,西植新疆队,1658,19780717,新疆维吾尔自治区,3730,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00552147.jpg,,,,,,,,,, +假九眼菊,Olgaea roborowskyi,西植新疆队,1658,1978/7/27,新疆,2730,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0335756.jpg,,,,,,,,,, +刺疙瘩,Olgaea tangutica,"陈又生,袁慊,徐连升等",140940,20400726,内蒙古自治区,1436,荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084151.jpg,,,,,,,,,, +刺疙瘩,Olgaea tangutica,黄河调查队,7679,19560805,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081446.jpg,,,,,,,,,, +川犀草,Oligomeris linifolia,青藏队,1664,19810630,四川省,2070,金沙江河谷沙汉佳上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01121458.jpg,,,,,,,,,, +川犀草,Oligomeris linifolia,K.L.Chambers et al.,5839,19950416,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01121459.jpg,,,,,,,,,, +无苞芥,Olimarabidopsis pumila,Sino-Russian Altai Expedition,SRAE2004027,20040000,新疆维吾尔自治区,,Desert,,有花无果,https://image.cvh.ac.cn/files/l/PE/01767048.jpg,,,,,,,,,, +钟状独花报春,Omphalogramma brachysiphon,"洪德元,马欣堂,王强",H12015,20120804,西藏自治区,3900,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913952.jpg,,,,,,,,,, +钟状独花报春,Omphalogramma brachysiphon,秦仁昌,20592,19390601,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/484092.jpg,,,,,,,,,, +大理独花报春,Omphalogramma delavayi,郝刚、颜海飞,1031,20100619,云南省,0~3700,路边,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0770502.jpg,,,,,,,,,, +,Omphalogramma delavayi,,20114,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0051966.jpg,,,,,,,,,, +丽花独报春,Omphalogramma elegans,青藏队,8457,19820722,云南省,3600~3700,山坡灌丛草地,,,https://image.cvh.ac.cn/files/l/KUN/1271239.jpg,,,,,,,,,, +丽花独报春,Omphalogramma elegans,青藏队,10235,19820909,西藏自治区,4100,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/186647.jpg,,,,,,,,,, +,Omphalogramma forrestii,K.M.Feng,6284,19400801,云南省,3800~3900,草坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01946697.jpg,,,,,,,,,, +中甸独花报春,Omphalogramma forrestii,Joseph F.Rock,34641,19320400,云南省 ,4500,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048025.jpg,,,,,,,,,, +小独花报春,Omphalogramma minus,王启无,63187,19350500,云南省,3300,Grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205331.jpg,,,,,,,,,, +小独花报春,Omphalogramma minus,Joseph F.Rock,21941,19320500,西藏自治区,5000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048026.jpg,,,,,,,,,, +小独花报春,Omphalogramma minus,Joseph F.Rock,23263,19320800,云南省 ,4500,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048027.jpg,,,,,,,,,, +长柱独花报春,Omphalogramma souliei,青藏队,8512,19820724,云南省,3400~3500,山坡湿润草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01502192.jpg,,,,,,,,,, +长柱独花报春,Omphalogramma souliei,J.F.Rock,8904,19230500,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205336.jpg,,,,,,,,,, +,Omphalogramma tibeticum,"李渤生,程树志",5626,19830720,西藏自治区,3800,高山Betnla林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081210.jpg,,,,,,,,,, +西藏独花报春,Omphalogramma tibeticum,张挺,张书东,郭永杰,13CS7597,20130526,西藏,3772,,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1395844.jpg,,,,,,,,,, +,Omphalogramma tibeticum,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13141,11-Jun-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00024843.jpg,,,,,,,,,, +腺花滇紫草,Onosma adenopus,姜恕等,9408,19610714,四川省,3300,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111284.jpg,,,,,,,,,, +腺花滇紫草,Onosma adenopus,于胜祥等,5549,20110815,西藏自治区,,沿途河岸边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956069.jpg,,,,,,,,,, +白花滇紫草,Onosma album,中甸队,2139,19620917,云南省,3000,山坡疏林中石砾中或砂地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354591.jpg,,,,,,,,,, +,Onosma album,"Forrest, George",11188,13-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00284691.jpg,,,,,,,,,, +密花滇紫草,Onosma confertum,"杨亲二,孔宏智",98-178,19980827,云南省,3250,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111281.jpg,,,,,,,,,, +密花滇紫草,Onosma confertum,于胜祥等,4841,20110803,四川省,,沿途,道边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956007.jpg,,,,,,,,,, +露蕊滇紫草,Onosma exsertum,杨祯禄,Y-264,20040918,云南省,1600,向阳山坡草地疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648917.jpg,,,,,,,,,, +露蕊滇紫草,Onosma exsertum,赵良能,2243,19640729,四川省,1650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354659.jpg,,,,,,,,,, +小花滇紫草,Onosma farreri,T.N. Liou & P.C. Tsoong,10,1937/8/18,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0021093.jpg,,,,,,,,,, +小花滇紫草,Onosma farreri,王作宾,19055,1964/4/27,甘肃省,1000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0421006.jpg,,,,,,,,,, +小花滇紫草,Onosma farreri,王清泉,7658,1974-8 2,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0119438.jpg,,,,,,,,,, +管状滇紫草,Onosma fistulosum,科成生植被组,12961,19760716,四川省,2000,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361377.jpg,,,,,,,,,, +管状滇紫草,Onosma fistulosum,Y.P.Chang,433,19401029,云南省,2800,grassy place,,有花有果,https://image.cvh.ac.cn/files/l/PE/01354666.jpg,,,,,,,,,, +团花滇紫草,Onosma glomeratum,杨金祥,2288,19630825,西藏自治区,3700,山坡砂地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/02013804.jpg,,,,,,,,,, +团花滇紫草,Onosma glomeratum,朱鑫鑫等,ZXX201718,20200813,西藏,3761,沙地上,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0054893.jpg,,,,,,,,,, +,Onosma liui,,9355,19750719,四川省,3400,路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648918.jpg,,,,,,,,,, +马尔康滇紫草,Onosma maaikangense,青藏科考队,12099,19760702,西藏自治区,3800,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354704.jpg,,,,,,,,,, +马尔康滇紫草,Onosma maaikangense,李馨,71250,19570604,四川省,2640,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354702.jpg,,,,,,,,,, +川西滇紫草,Onosma mertensioides,Harry Smith,12002,19340910,四川省,3700,"versus,in duriprato",,无花有果,https://image.cvh.ac.cn/files/l/PE/01361385.jpg,,,,,,,,,, +,Onosma mertensioides,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-021-B18,20160807,四川,,高山栎群落中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609845.jpg,,,,,,,,,, +多枝滇紫草,Onosma multiramosum,北京所横断山队,3040,19810816,云南省,2100~2200,江边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354715.jpg,,,,,,,,,, +多枝滇紫草,Onosma multiramosum,青藏队,3365,19810806,四川省,,河岸 山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01133212.jpg,,,,,,,,,, +,Onosma nangqenense,何毅 黄体冉,BNU2018SC204,20180722,四川,,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043661.jpg,,,,,,,,,, +,Onosma nangqenense,何毅 黄体冉,BNU2018SC107,20180715,西藏,,路边荒坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043670.jpg,,,,,,,,,, +滇紫草,Onosma paniculatum,"汤宗孝,田效文,张正华",996,19810907,云南省,2150,山坡南偏西,矮灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111270.jpg,,,,,,,,,, +滇紫草,Onosma paniculatum,赵佐成,3646,19931016,四川省,2200,阳坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02110984.jpg,,,,,,,,,, +小叶滇紫草,Onosma sinicum,李永江,70,19900612,四川省,1600,干热河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020502.jpg,,,,,,,,,, +小叶滇紫草,Onosma sinicum,"李全世,,赵兴存",2579,19640816,甘肃省,900,江?公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020501.jpg,,,,,,,,,, +丛茎滇紫草,Onosma waddellii,PE西藏队,PE5018,20170824,西藏自治区,3522,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330584.jpg,,,,,,,,,, +丛茎滇紫草,Onosma waddellii,,1970,19740726,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02020496.jpg,,,,,,,,,, +西藏滇紫草,Onosma waltonii,PE西藏队,PE6580,20170913,西藏自治区,4260,干旱山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330577.jpg,,,,,,,,,, +西藏滇紫草,Onosma waltonii,高信芬、朱章明、鞠文彬、金伟涛,14518,20110726,西藏,3895,山坡沙地,多年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0222240.jpg,,,,,,,,,, +德钦滇紫草,Onosma wardii,杨竞生,91-268,19910610,四川省,3500,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111273.jpg,,,,,,,,,, +德钦滇紫草,Onosma wardii,王汉臣,1573,19411100,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354794.jpg,,,,,,,,,, +,Onosma wardii,"Kingdon-Ward, F.",902,26-Jul-13,,,,,,https://image.cvh.ac.cn/files/l/E/E00712703.jpg,,,,,,,,,, +雅江滇紫草,Onosma yajiangense,杨竞生,88-20,19880819,云南省,,公路56K,,无花无果,https://image.cvh.ac.cn/files/l/PE/02020510.jpg,,,,,,,,,, +雅江滇紫草,Onosma yajiangense,田效文,138,19840822,四川省,3200,灌丛草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020509.jpg,,,,,,,,,, +,Onosma yajiangense,何毅、黄体冉,BNU2018SC233,20180724,四川,,江边石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043566.jpg,,,,,,,,,, +察隅滇紫草,Onosma zayuense,于胜祥等,5557,20110815,西藏自治区,3730,沿途路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956064.jpg,,,,,,,,,, +,Onosma zayuense,何毅、刘丹辉,BNU2018YN261,20180812,西藏,,山坡栎-锦鸡儿灌丛,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043581.jpg,,,,,,,,,, +沿阶草,Ophiopogon bodinieri,"H.Li,S.X.Yang,R.Li etc.",1098,20021110,云南省,2570,林(中)下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109697.jpg,,,,,,,,,, +沿阶草,Ophiopogon bodinieri,巴山采集队,5909,20120702,四川省,1200,公路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066026.jpg,,,,,,,,,, +沿阶草,Ophiopogon bodinieri,巴山采集队,6119,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066024.jpg,,,,,,,,,, +长丝沿阶草,Ophiopogon clarkei,生态室高原组,10684,19800628,西藏自治区,2200,林缘石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376484.jpg,,,,,,,,,, +长丝沿阶草,Ophiopogon clarkei,,53698,,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00036156.jpg,,,,,,,,,, +长丝沿阶草,Ophiopogon clarkei,武素功,7189,19640616,云南省 ,2300,山谷常绿林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1222904.jpg,,,,,,,,,, +大沿阶草,Ophiopogon grandis,生态室高原组,14064,19800807,西藏自治区,2400,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447863.jpg,,,,,,,,,, +大沿阶草,Ophiopogon grandis,青藏队,7072,19820609,云南省,2200,山坡 常绿阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01146109.jpg,,,,,,,,,, +大沿阶草,Ophiopogon grandis,,255,19590522,四川省,1600,阴处,潮湿地,山坡,密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00330017.jpg,,,,,,,,,, +间型沿阶草,Ophiopogon intermedius,PE西藏考察队,7904,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331842.jpg,,,,,,,,,, +间型沿阶草,Ophiopogon intermedius,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",228,20020814,云南省,2600,常绿阔叶林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/02088516.jpg,,,,,,,,,, +间型沿阶草,Ophiopogon intermedius,,Q1沿阶草,19740912,广西壮族自治区,1200,山地、砂页岩、黄壤常绿阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017708.jpg,,,,,,,,,, +泸水沿阶草,Ophiopogon lushuiensis,北京植物所 横断山队,208,19810529,云南省,2400,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00291419.jpg,,,,,,,,,, +墨托沿阶草,Ophiopogon motouensis,青藏队植被组,2976,19740831,西藏自治区,1700,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01532897.jpg,,,,,,,,,, +滇西沿阶草,Ophiopogon yunnanensis,北京植物所横断山队,449,19810606,云南省,1700,两岸 沟谷 丛林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01146131.jpg,,,,,,,,,, +独龙蛇根草,Ophiorrhiza dulongensis,武素功,8081,19640715,云南省,2300,山谷次生林新木林缘,,有果无花,https://image.cvh.ac.cn/files/l/KUN/355565.jpg,,,,,,,,,, +独龙蛇根草,Ophiorrhiza dulongensis,青藏队,3953,19740803,西藏自治区,2250,山坡常绿阔叶混交林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/355571.jpg,,,,,,,,,, +簇花蛇根草,Ophiorrhiza fasciculata,北京植物所横断山队,447,19810606,云南省,1700,两岸 沟谷 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173461.jpg,,,,,,,,,, +簇花蛇根草,Ophiorrhiza fasciculata,青藏队,4408,19740820,西藏自治区,1700,山坡 阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00808281.jpg,,,,,,,,,, +,Ophiorrhiza fasciculata,P.Srisanga,1402,20000525,,1480,Herb on ground in moist hill evergreen forest,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0002304.jpg,,,,,,,,,, +黄褐蛇根草,Ophiorrhiza lurida,青藏队,3953,19740803,西藏自治区,2250,山坡 阔叶混清林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00808287.jpg,,,,,,,,,, +黄褐蛇根草,Ophiorrhiza lurida,青藏队,8286,19820721,云南省,2200~2400,常绿阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00808285.jpg,,,,,,,,,, +黄褐蛇根草,Ophiorrhiza lurida,,11715,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0473833.jpg,,,,,,,,,, +长萼蛇根草,Ophiorrhiza medogensis,青藏队,5072,19740910,西藏自治区,1720,山坡 阔叶林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00808294.jpg,,,,,,,,,, +长萼蛇根草,Ophiorrhiza medogensis,"刘成, 亚吉东",18CS17206,20181118,西藏,1545,次生林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486754.jpg,,,,,,,,,, +蛇根草,Ophiorrhiza mungos,红水河植物考察队,1687,19890524,广西壮族自治区,650,松林下沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011836.jpg,,,,,,,,,, +蛇根草,Ophiorrhiza mungos,刘正宇,14341,19930828,重庆市,800,溪边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01884650.jpg,,,,,,,,,, +蛇根草,Ophiorrhiza mungos,四川植物标本,13436,19760809,四川省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01481010.jpg,,,,,,,,,, +垂花蛇根草,Ophiorrhiza nutans,绿春队,1751,19740608,云南省,2000,常阔 林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00808301.jpg,,,,,,,,,, +垂花蛇根草,Ophiorrhiza nutans,H.T.Tsai,60490,19340629,云南省 ,1400,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0473883.jpg,,,,,,,,,, +美丽蛇根草,Ophiorrhiza rosea,"李渤生,程树志",4947,19830602,西藏自治区,950,Ficus 林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447825.jpg,,,,,,,,,, +美丽蛇根草,Ophiorrhiza rosea,刘伟心,672,19530901,云南省,800,村中山谷溪旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01388120.jpg,,,,,,,,,, +匍地蛇根草,Ophiorrhiza rugosa,青藏队,5961,19750627,西藏自治区,2100,常阔林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00808315.jpg,,,,,,,,,, +匍地蛇根草,Ophiorrhiza rugosa,林芹等,790721,1979,云南省,0,山坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/KUN/355941.jpg,,,,,,,,,, +匍地蛇根草,Ophiorrhiza rugosa,H.Ohashi et,77078,19770727,,1800~1150,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/355945.jpg,,,,,,,,,, +,Ophiorrhiza succirubra,广西队,4138,19531000,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011840.jpg,,,,,,,,,, +,Ophiorrhiza succirubra,青藏队,8122,19820718,云南省,1900~2000,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173468.jpg,,,,,,,,,, +,Ophiorrhiza succirubra,青藏队,4049,19740804,西藏自治区,2080,山坡 阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00808314.jpg,,,,,,,,,, +阴地蛇根草,Ophiorrhiza umbricola,G.Forrest,26594,19250500,云南省,2333,Margins of thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01590362.jpg,,,,,,,,,, +阴地蛇根草,Ophiorrhiza umbricola,"李渤生,程树志",2879,19830310,西藏自治区,1500,湖畔常绿阔叶林下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00808311.jpg,,,,,,,,,, +阴地蛇根草,Ophiorrhiza umbricola,G.Forrest,26594,19250000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0474056.jpg,,,,,,,,,, +大果蛇根草,Ophiorrhiza wallichii,中苏云南联合考察团,8165,19570000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01388119.jpg,,,,,,,,,, +大果蛇根草,Ophiorrhiza wallichii,M.K.Li,936,19391030,云南省 ,1700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0474069.jpg,,,,,,,,,, +,Oplismenus compositus var. compositus,莫熙穆,21179,,江西省,,among moist thicket,,有花有果,https://image.cvh.ac.cn/files/l/PE/00584108.jpg,,,,,,,,,, +,Oplismenus compositus var. compositus,彭华等,H-滇云龙-Z 4223,20100803,云南省,2550,常绿阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1204149.jpg,,,,,,,,,, +竹叶草,Oplismenus compositus var. compositus,刘景欣,884,20091019,云南,676,森林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029816.jpg,,,,,,,,,, +求米草,Oplismenus undulatifolius,梁同军,83,20150615,江西省,1500,生于山坡及阴湿处草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067180.jpg,,,,,,,,,, +求米草,Oplismenus undulatifolius,巴山采集队,3641,20100726,四川省,578,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066329.jpg,,,,,,,,,, +求米草,Oplismenus undulatifolius,Jung-Hyun Kim & Sun-Yu Kim,KIMJH14-00029,20140826,,10,around lake,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049462.jpg,,,,,,,,,, +,Opuntia monacantha,"李渤生,程树志",1737,19821111,西藏自治区,1200,村边围墙常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074850.jpg,,,,,,,,,, +,Opuntia monacantha,李振宇等,1453,19981024,广西壮族自治区,850,山坡,石山,,无花无果,https://image.cvh.ac.cn/files/l/PE/01991185.jpg,,,,,,,,,, +,Opuntia monacantha,H.F.Sun,1536,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01068667.jpg,,,,,,,,,, +卵唇红门兰,Orchis cyclochila,青藏队,1999,19590923,青海省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00523517.jpg,,,,,,,,,, +卵唇红门兰,Orchis cyclochila,P.Licent S.J,14715,19280606,吉林省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00523515.jpg,,,,,,,,,, +卵唇红门兰,Orchis cyclochila,王薇等,889,19590806,黑龙江省,,云冷杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00523512.jpg,,,,,,,,,, +橙黄马铃苣苔,Oreocharis aurantiaca,刘方谱,LFP2016014,20160719,云南省,1914,山谷石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02106028.jpg,,,,,,,,,, +橙黄马铃苣苔,Oreocharis aurantiaca,"刘演,于胜祥等",H0015,20030716,广西壮族自治区,620,山坡、疏林、红壤,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011287.jpg,,,,,,,,,, +肉色马铃苣苔,Oreocharis cinnamomea,李鹏伟,LPW2012023,20120908,云南省,2950,阴面石壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053431.jpg,,,,,,,,,, +肉色马铃苣苔,Oreocharis cinnamomea,J.F.Rock,5157,19220600,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0550859.jpg,,,,,,,,,, +肉色马铃苣苔,Oreocharis cinnamomea,青藏队,13453,19830826,四川省,2400~2500,山沟岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0208263.jpg,,,,,,,,,, +心叶马铃苣苔,Oreocharis cordatula,李鹏伟,LPW2012017,20120830,云南省,2700,林下长满苔藓的土壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053432.jpg,,,,,,,,,, +心叶马铃苣苔,Oreocharis cordatula,罗毅波,215(40),19980629,四川省,2700~2740,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670227.jpg,,,,,,,,,, +,Oreocharis delavayi,刘方谱,lfp2017007,20170829,四川省,3291,山谷石壁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115701.jpg,,,,,,,,,, +,Oreocharis delavayi,蓝顺彬,190,19840831,云南省,2800,石崖上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00155146.jpg,,,,,,,,,, +,Oreocharis delavayi,George Forest,16692,19180700,云南省 ,3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0208272.jpg,,,,,,,,,, +剑川马铃苣苔,Oreocharis georgei,梁荣花,lrh008,20060915,四川省,2400,路边岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053523.jpg,,,,,,,,,, +剑川马铃苣苔,Oreocharis georgei,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13994,20161020,四川,2398,高山栎林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1452370.jpg,,,,,,,,,, +,Oreocharis georgei,"Forrest, George",30612,1931,,,,,,https://image.cvh.ac.cn/files/l/E/E00067458.jpg,,,,,,,,,, +川滇马铃苣苔,Oreocharis henryana,刘方谱,lfp2017009,20170901,云南省,2102,山谷林下阴湿石壁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115699.jpg,,,,,,,,,, +川滇马铃苣苔,Oreocharis henryana,"Jin Xiaohua,Jin Weitao,Cui Yiqun",14607,20140813,四川省,1090,under forrest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108288.jpg,,,,,,,,,, +川滇马铃苣苔,Oreocharis henryana,冯翠元,FCY2014050,20140610,贵州省,2269,湿润岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02053065.jpg,,,,,,,,,, +小马铃苣苔,Oreocharis minor,"李鹏伟,冯翠元",PWCY2013048,20130720,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053564.jpg,,,,,,,,,, +小马铃苣苔,Oreocharis minor,W.H.Lau,109,19300514,四川省,0~2500,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0550924.jpg,,,,,,,,,, +,Oreocharis minor,"Forrest, George",12716?,,,,,,,https://image.cvh.ac.cn/files/l/E/E00067461.jpg,,,,,,,,,, +紫麻,Oreocnide frutescens subsp. frutescens,天峨采集队,451222131109005LY,20131109,广西壮族自治区,,灌丛、林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0161591.jpg,,,,,,,,,, +紫麻,Oreocnide frutescens subsp. frutescens,钟山县普查队,451122170719044LY,20170719,广西,218,灌丛、其他 、石灰土,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0211990.jpg,,,,,,,,,, +紫麻,Oreocnide frutescens subsp. frutescens,,5292,19601029,福建,,园地栽种或野生,草本,有花无果,https://image.cvh.ac.cn/files/l/FJIDC/FJIDC003143.jpg,,,,,,,,,, +全缘叶紫麻,Oreocnide integrifolia,陈少卿,11919,19570423,广西壮族自治区,280,山谷阳处疏林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00565011.jpg,,,,,,,,,, +全缘叶紫麻,Oreocnide integrifolia,,295,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00565010.jpg,,,,,,,,,, +全缘叶紫麻,Oreocnide integrifolia,陈伟烈,10850,19800630,西藏自治区,1200~1400,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/00565008.jpg,,,,,,,,,, +,Oreocomopsis xizangensis,杨竞生,95,19910802,西藏自治区,4400,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01941156.jpg,,,,,,,,,, +少腺爪花芥,Oreoloma eglandulosum,"张国樑,胡进秩",1712,19640817,甘肃省,3000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01125364.jpg,,,,,,,,,, +少腺爪花芥,Oreoloma eglandulosum,武素功,费勇等,4237,19880823,新疆维吾尔自治区 ,3720,in dry gravel valley,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0499569.jpg,,,,,,,,,, +少腺爪花芥,Oreoloma eglandulosum,地植物组,107,19630701,青海省,3000,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0499570.jpg,,,,,,,,,, +紫爪花芥,Oreoloma matthioloides,"马毓泉,曾泗第",7,19620804,宁夏回族自治区,,山麓坡地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01125367.jpg,,,,,,,,,, +紫爪花芥,Oreoloma matthioloides,陈昌笃等,51,19630719,内蒙古自治区,1500,梁上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01125366.jpg,,,,,,,,,, +长叶山兰,Oreorchis fargesii,北京队,892517,19890510,广西壮族自治区,1350,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989244.jpg,,,,,,,,,, +长叶山兰,Oreorchis fargesii,金效华,6521,20040602,云南省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825328.jpg,,,,,,,,,, +长叶山兰,Oreorchis fargesii,白龙江考察队,1444,19990527,甘肃省,1700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537267.jpg,,,,,,,,,, +,Oreorchis foliosa,"Jin Xiaohua,Jin Weitao,Xu Songzhi",13183,20120728,西藏自治区,3600~3700,subtropical evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02025150.jpg,,,,,,,,,, +,Oreorchis foliosa,Luo Yi-bo,75,19960707,云南省,3660,近山顶西坡灌木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527068.jpg,,,,,,,,,, +狭叶山兰,Oreorchis micrantha,青藏队植被组,138,19740626,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485259.jpg,,,,,,,,,, +狭叶山兰,Oreorchis micrantha,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19269,20200624,西藏,2672,林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489309.jpg,,,,,,,,,, +,Oreorchis nana,"Zhu, Chen, Xu,Wang",1440,19990702,陕西省,2400~2700,edges of forests,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033505.jpg,,,,,,,,,, +,Oreorchis nana,"郎楷永,李良千,费勇",1777,19830613,四川省,3300,Picea 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01147408.jpg,,,,,,,,,, +,Oreorchis nana,青藏队,964,19810612,云南省,3450,云杉林迹地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01147405.jpg,,,,,,,,,, +山兰,Oreorchis patens,Luo Yi-bo,665,20010817,四川省,3500,W slope Quencus林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032981.jpg,,,,,,,,,, +山兰,Oreorchis patens,北京所横断山队,1141,19810626,云南省,2400~3000,铁杉林带内时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803416.jpg,,,,,,,,,, +山兰,Oreorchis patens,S.Saito,5117,19270628,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01723166.jpg,,,,,,,,,, +藏玄参,Oreosolen wattii,PE西藏考察队,7060,20180609,西藏自治区,4569,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332003.jpg,,,,,,,,,, +藏玄参,Oreosolen wattii,,Q47,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803197.jpg,,,,,,,,,, +牛至,Origanum vulgare,South Tibet Exp.Team (Jin Xiaohua etc.),STET1548,20100728,西藏自治区,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328546.jpg,,,,,,,,,, +牛至,Origanum vulgare,"高天刚,聂宝",GTG8538,20151008,,1617,喜马拉雅山南坡脚下,陡壁或林下草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02286828.jpg,,,,,,,,,, +牛至,Origanum vulgare,FLPH Sichuan Expedition,150994,20150823,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02284623.jpg,,,,,,,,,, +青海固沙草,Orinus kokonorica,,723,19640825,青海省,4000,阳坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082942.jpg,,,,,,,,,, +青海固沙草,Orinus kokonorica,青藏队植被组,5445,19750724,西藏自治区,4600,河边沙地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803650.jpg,,,,,,,,,, +青海固沙草,Orinus kokonorica,汤宗孝,1928,19830913,四川省,1500,山坡草丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00584565.jpg,,,,,,,,,, +固沙草,Orinus thoroldii,青藏队植被组,12478,19760907,西藏自治区,4500,田边及山坡洪积扇,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076573.jpg,,,,,,,,,, +西藏固沙草,Orinus tibetica,岳伟,苏旭,王玉金,LiuJQ-2011-WYJ-195,20110920,西藏,3586,温带草原坡地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1402981.jpg,,,,,,,,,, +白花列当,Orobanche alba,西藏中草药普查队,3525,19720622,西藏自治区,2800,林下大石头上,土中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463697.jpg,,,,,,,,,, +白花列当,Orobanche alba,"关克俭,王文采等",276,19630723,四川省,3350,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463695.jpg,,,,,,,,,, +美丽列当,Orobanche amoena,关克俭,78059,19780521,新疆维吾尔自治区,,荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463712.jpg,,,,,,,,,, +美丽列当,Orobanche amoena,刘成、亚吉东、迟建才,15CS10127,20150610,新疆,1618,草坡,寄生植物,,https://image.cvh.ac.cn/files/l/KUN/1396131.jpg,,,,,,,,,, +美丽列当,Orobanche amoena,C.Y.Chiao,2495,19300611,广东省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/149261031_1.jpg,,,,,,,,,, +弯管列当,Orobanche cernua,关克俭,4572,19570822,新疆维吾尔自治区,145,水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463802.jpg,,,,,,,,,, +弯管列当,Orobanche cernua,et det M.Paun,s.n.,19660715,,130,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463803.jpg,,,,,,,,,, +弯管列当,Orobanche cernua,何叶祺,3202,19590623,甘肃省,1450,沙滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463801.jpg,,,,,,,,,, +列当,Orobanche coerulescens,周口店考察队,232,20080927,北京市,126,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112030.jpg,,,,,,,,,, +列当,Orobanche coerulescens,黄河队,885,19570612,山西省,,阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084098.jpg,,,,,,,,,, +列当,Orobanche coerulescens,老铁山采集队 王小平,255,20080605,辽宁省,,道边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882992.jpg,,,,,,,,,, +大花列当,Orobanche megalantha,Harry Smith,2425,19220628,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01476042.jpg,,,,,,,,,, +四川列当,Orobanche sinensis,236 四川任务组,710,19710805,四川省,3100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087381.jpg,,,,,,,,,, +四川列当,Orobanche sinensis,崔友文,5801,19510925,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01476187.jpg,,,,,,,,,, +滇列当,Orobanche yunnanensis,孙必兴,1101,19730719,云南省,2270,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0547829.jpg,,,,,,,,,, +滇列当,Orobanche yunnanensis,E.E.Maire,,,云南省 ,2600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0547828.jpg,,,,,,,,,, +滇列当,Orobanche yunnanensis,周浙昆,苏涛,杨莹,张芳茗,李国锋,黄永江,Zhou09-109,20091014,四川,4315,灌丛,高山草甸,流石滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1385062.jpg,,,,,,,,,, +,Orostachys alicae,付坤俊,4935,1952/7/10,陕西省 ,1150,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0060245.jpg,,,,,,,,,, +,Orostachys alicae,王作宾,19274,1964/5/6,甘肃省 ,900,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0227797.jpg,,,,,,,,,, +塔花瓦松,Orostachys chanetii,刘彬彬,2052,20141011,甘肃省,949,屋顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/02071889.jpg,,,,,,,,,, +塔花瓦松,Orostachys chanetii,方文培,5601,19280930,四川省,,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00842984.jpg,,,,,,,,,, +塔花瓦松,Orostachys chanetii,T.N.Liou,9786,19381003,重庆市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00842722.jpg,,,,,,,,,, +瓦松,Orostachys fimbriata,郭成勇,20061-487-5,20060926,山东省,480,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100461.jpg,,,,,,,,,, +瓦松,Orostachys fimbriata,老铁山采集队(于业飞),604,20080928,辽宁省,,石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100422.jpg,,,,,,,,,, +瓦松,Orostachys fimbriata,石硕等,SZ3707,20140806,河北省,1248,石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062410.jpg,,,,,,,,,, +,Orostachys schoenlandii,张志英 ,8240,1958/8/17,甘肃省 ,950,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0371634.jpg,,,,,,,,,, +狭穗瓦松,Orostachys schoenlandii,朱大海 张超 李小杰,4527,20070809,四川省,2480,,草本,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/018023.jpg,,,,,,,,,, +黄花瓦松,Orostachys spinosa,"张新时,郭柯",天山-058,19860729,新疆维吾尔自治区,,山地侧坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02096736.jpg,,,,,,,,,, +黄花瓦松,Orostachys spinosa,Klementz,s.n.,19040721,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01783297.jpg,,,,,,,,,, +小苞瓦松,Orostachys thyrsiflora,傅德志,818,19860800,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100744.jpg,,,,,,,,,, +小苞瓦松,Orostachys thyrsiflora,王忠涛等,366,20070625,新疆维吾尔自治区,2300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100476.jpg,,,,,,,,,, +小苞瓦松,Orostachys thyrsiflora,"朱相云,杜玉芬",20080,20000816,西藏自治区,3120,山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100475.jpg,,,,,,,,,, +直芒草,Orthoraphium roylei,,71,19600725,西藏自治区,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02042045.jpg,,,,,,,,,, +直芒草,Orthoraphium roylei,780植被组,575,19781123,云南省,3200,灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555584.jpg,,,,,,,,,, +鸡脚参茎叶,Orthosiphon wulfenioides var. foliosus,滇西北队,10557,19600718,云南省,,山坡,松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00834642.jpg,,,,,,,,,, +鸡脚参茎叶,Orthosiphon wulfenioides var. foliosus,蒋英,8829,19300904,贵州省,,Along road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/00834618.jpg,,,,,,,,,, +鸡脚参茎叶,Orthosiphon wulfenioides var. foliosus,俞德俊,3918,19340000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00834598.jpg,,,,,,,,,, +鸡脚参,Orthosiphon wulfenioides var. wulfenioides,弥渡普查队,5329251310,20120718,云南省,2168,,草本,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0022212.jpg,,,,,,,,,, +蚂蚁花,Osbeckia nepalensis var. nepalensis,孟连调察队,9459,19730721,云南省,0,水沟边,路边,草灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0158195.jpg,,,,,,,,,, +,Osbeckia stellata,党成忠,16,19860623,贵州省,1340,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00781207.jpg,,,,,,,,,, +,Osbeckia stellata,,6027,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00781198.jpg,,,,,,,,,, +,Osmanthus delavayi,北京所横断山队,961,19810708,云南省,,夷平面华山松幼林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042345.jpg,,,,,,,,,, +,Osmanthus delavayi,Richard R. Halse,7435,20080419,,75,Cultivated,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885748.jpg,,,,,,,,,, +,Osmanthus dinggyensis,青藏队,5503,19750605,西藏自治区,3100,打竹山坡次生林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101792.jpg,,,,,,,,,, +,Osmanthus fragrans,"川西队,关克俭,王文采等",2487,19630820,四川省,750,山坡庭前栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091707.jpg,,,,,,,,,, +,Osmanthus fragrans,"张志耘,谢磊,张强",2015-085,20150502,广西壮族自治区,200~300,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064626.jpg,,,,,,,,,, +,Osmanthus fragrans,Alice B.Russell,992,19940326,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883351.jpg,,,,,,,,,, +,Osmanthus suavis,邱炳云,53810,19561119,云南省,3100,干燥的山坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01647484.jpg,,,,,,,,,, +,Osmanthus suavis,东林资源调查一队,A 0223,19870710,,2800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01528627.jpg,,,,,,,,,, +,Osmanthus yunnanensis,"李渤生,程树志",1102,19820928,西藏自治区,2100,常绿阔叶林缘偶乔木,,无花有果,https://image.cvh.ac.cn/files/l/PE/02080960.jpg,,,,,,,,,, +,Osmanthus yunnanensis,北京队,895169,19890525,广西壮族自治区,1200,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02009087.jpg,,,,,,,,,, +,Osmanthus yunnanensis,红水河植物考察队,2232,19890617,云南省,2500,石灰岩,杜鹃到高山栎灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02009086.jpg,,,,,,,,,, +香根芹,Osmorhiza aristata,巴山采集队,2338,20080726,重庆市,2177,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989798.jpg,,,,,,,,,, +香根芹,Osmorhiza aristata,"H.-W.Kim,M.-Y.Lim,D.-G.Yi",2009-0547,20090509,,203,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01964676.jpg,,,,,,,,,, +香根芹,Osmorhiza aristata,巴山采集队,5579,20110712,四川省,1800,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873132.jpg,,,,,,,,,, +疏叶香根芹,Osmorhiza aristata var. laxa,"Hong De-yuan,W.H.Sauer,S.Gerbert,Yang Ye,etc.",33357,19860804,吉林省,1100,partly original mixed forest with moss rich brown soils on basaltic rocks,,无花有果,https://image.cvh.ac.cn/files/l/PE/01499631.jpg,,,,,,,,,, +疏叶香根芹,Osmorhiza aristata var. laxa,"张经炜,王金亭",6312,19730812,西藏自治区,3100,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491171.jpg,,,,,,,,,, +疏叶香根芹,Osmorhiza aristata var. laxa,北京所横断山队,1351,19810711,云南省,3100~3200,铁杉林下湿地常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132008.jpg,,,,,,,,,, +,Osteomeles schwerinae var. schwerinae,D. E. Boufford et al.,42888,20100814,四川省,1800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902061.jpg,,,,,,,,,, +华西小石积(原变种),Osteomeles schwerinae var. schwerinae, ,2182,,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00061826.jpg,,,,,,,,,, +大齿山芹,Ostericum grosseserratum,C.W.Wang,60876,19330818,河北省,,stream side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432317.jpg,,,,,,,,,, +大齿山芹,Ostericum grosseserratum,,633,19640821,北京市,590,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01244704.jpg,,,,,,,,,, +大齿山芹,Ostericum grosseserratum,"关克俭,陈艺林",1098,19590824,山西省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00759501.jpg,,,,,,,,,, +,Ostodes katharinae,王洪,6926,20040402,云南省,1600,北坡次生林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01680951.jpg,,,,,,,,,, +,Ostodes katharinae,"李渤生,程树志",3445,19830108,西藏自治区,1200,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01494926.jpg,,,,,,,,,, +铁木,Ostrya japonica,白龙江考察队,462,19980720,甘肃省,2000,山地 山坡 密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560925.jpg,,,,,,,,,, +铁木,Ostrya japonica,郭本兆,915,19510903,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01386108.jpg,,,,,,,,,, +铁木,Ostrya japonica,W.C.Cheng,1923,19300924,四川省,3000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01062309.jpg,,,,,,,,,, +虎榛子,Ostryopsis davidiana,陈又生等,140593,20140720,内蒙古自治区,,山坡或山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/02015316.jpg,,,,,,,,,, +虎榛子,Ostryopsis davidiana,"张志耘,谢磊等",2012-139,20120523,河北省,1700,"Valley,road side",,有花无果,https://image.cvh.ac.cn/files/l/PE/01900845.jpg,,,,,,,,,, +虎榛子,Ostryopsis davidiana,包士英,1358,19590703,山西省,2170,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900468.jpg,,,,,,,,,, +滇虎榛,Ostryopsis nobilis,中甸队,1214,19620818,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900469.jpg,,,,,,,,,, +滇虎榛,Ostryopsis nobilis,青藏队,1676,19810701,四川省,2950,金沙江东岸 山脊 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062297.jpg,,,,,,,,,, +沙针,Osyris wightiana,"税玉民,陈文红等",64822,20060826,云南省,2030,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02114042.jpg,,,,,,,,,, +沙针,Osyris wightiana,中植联广西队,353,20080513,广西壮族自治区,400,石灰岩石山、山坡,疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114001.jpg,,,,,,,,,, +沙针,Osyris wightiana,"李渤生,倪志诚,程树志",6928,19830828,西藏自治区,1650,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114000.jpg,,,,,,,,,, +白花耳唇兰,Otochilus albus,王崇杰,665,19981015,西藏自治区,1200~3500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01866596.jpg,,,,,,,,,, +白花耳唇兰,Otochilus albus,金效华,9053,20070712,云南省,2107,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825324.jpg,,,,,,,,,, +白花耳唇兰,Otochilus albus,亚吉东、刘成、付超男、莫明忠,15CS11101,20150624,云南,1788,常绿阔叶林林缘,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1394151.jpg,,,,,,,,,, +狭叶耳唇兰,Otochilus fuscus,金效华,8968,20070510,云南省,1951,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825325.jpg,,,,,,,,,, +狭叶耳唇兰,Otochilus fuscus,"李渤生,程树志",2275,19821220,西藏自治区,2100,松林中石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00850760.jpg,,,,,,,,,, +宽叶耳唇兰,Otochilus lancilabius,"S.K.Wu,L.H.Liu,Y.M.Shui etc.",4399,19961019,云南省,1150,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033568.jpg,,,,,,,,,, +宽叶耳唇兰,Otochilus lancilabius,生态室高原组,11413,19800727,西藏自治区,1900,附生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01446149.jpg,,,,,,,,,, +耳唇兰,Otochilus porrectus,Jin Xiaohua,11674,20111004,云南省,2100~2400,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033173.jpg,,,,,,,,,, +,Ottelia acuminata var. acuminata,"Forrest, George",7376,10-Nov,,,,,,https://image.cvh.ac.cn/files/l/E/E00317836.jpg,,,,,,,,,, +尼古草,Ottelia alismoides,"潘明清,罗闰良",86-018,19870630,湖北省,,水沟中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109899.jpg,,,,,,,,,, +尼古草,Ottelia alismoides,"潘明清,罗闰良",86-009,19870629,广东省,,池塘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109898.jpg,,,,,,,,,, +酢浆草,Oxalis corniculata,PE西藏考察队,7807,20180625,西藏自治区,2627,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333102.jpg,,,,,,,,,, +酢浆草,Oxalis corniculata,植物资源考察队,D0192,19840513,河南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230536.jpg,,,,,,,,,, +酢浆草,Oxalis corniculata,T.T.Yu,12371,19370723,云南省,3200,under woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/02226323.jpg,,,,,,,,,, +山酢浆草,Oxalis griffithii,陈又生,5039,20050324,湖南省,1000,山谷溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02226373.jpg,,,,,,,,,, +山酢浆草,Oxalis griffithii,"简焯坡,应俊生,马成功,李雅茹等",401324,19640831,江西省,,林下溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02226366.jpg,,,,,,,,,, +山酢浆草,Oxalis griffithii,Anonymous,2200,19590623,安徽省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02226345.jpg,,,,,,,,,, +,Oxalis leucolepis,"李渤生,程树志",564,19820903,西藏自治区,3100~3300,冷云杉林内优势或次优势草本,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072278.jpg,,,,,,,,,, +,Oxalis leucolepis,,H17,19810803,云南省,3228,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072274.jpg,,,,,,,,,, +,Oxalis leucolepis,川经凉59字,1475,19590727,四川省,2400,阴处密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00057248.jpg,,,,,,,,,, +脱萼鸦跖花,Oxygraphis delavayi,北京所横断山队,3582,19810824,云南省,4150,高山灌丛草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046852.jpg,,,,,,,,,, +脱萼鸦跖花,Oxygraphis delavayi,"李渤生,程树志",5465,19830713,西藏自治区,4000~4200,高山灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980417.jpg,,,,,,,,,, +鸦跖花,Oxygraphis glacialis,横断山队植被组,4191,19830618,四川省,4300,高山山坡杜鹃灌丛内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046854.jpg,,,,,,,,,, +鸦跖花,Oxygraphis glacialis,横断山队植被组,4528,19830709,云南省,4300,紫花小叶杜鹃灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046847.jpg,,,,,,,,,, +鸦跖花,Oxygraphis glacialis,郭柯,K-58,19900624,青海省,5100,高山流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046378.jpg,,,,,,,,,, +山蓼,Oxyria digyna,西藏考察隐,7322,20180616,西藏自治区,3631,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332865.jpg,,,,,,,,,, +山蓼,Oxyria digyna,J.A.Parmelee & J.R.Seaborn,4174,19670813,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02031517.jpg,,,,,,,,,, +山蓼,Oxyria digyna,"Jin Xh,Wang LS,Wang Q et al.",ST1808,20130803,云南省,3700~4231,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01979424.jpg,,,,,,,,,, +中华山蓼,Oxyria sinensis,D.E.Boufford et al.,41152,20090726,西藏自治区,3210~3300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01899403.jpg,,,,,,,,,, +中华山蓼,Oxyria sinensis,周仕顺,5791,20090516,云南省,3000,附生树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869232.jpg,,,,,,,,,, +中华山蓼,Oxyria sinensis,"耿玉英,朱大海,李小杰",20070154,20070422,四川省,2300,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859397.jpg,,,,,,,,,, +墨脱尖子木,Oxyspora cernua,孙航,周浙昆,俞宏渊,282,19921010,西藏自治区,1000,in foret,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0158384.jpg,,,,,,,,,, +尖子木,Oxyspora paniculata,"王印政,彭华,邓德山,邓云飞,税玉民,朱大海",3768,19981013,云南省,1200,山地,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097803.jpg,,,,,,,,,, +尖子木,Oxyspora paniculata,青藏队植被组,s.n.,19731005,西藏自治区,1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061709.jpg,,,,,,,,,, +尖子木,Oxyspora paniculata,"M.Mikage,T.Kajita,F.Kiuchi etc.",9555098,19951031,,1410,in wet slope forests,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044970.jpg,,,,,,,,,, +刚毛尖子木,Oxyspora vagans,C.W.Wang,79796,19361000,云南省,840,mixed forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932412.jpg,,,,,,,,,, +,Oxyspora vagans,何忠云,周立刚,ALSZY318,20101205,云南,2276,常绿阔叶林中,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1304308.jpg,,,,,,,,,, +滇尖子木,Oxyspora yunnanensis,T.T.Yü,21028,19381110,云南省,1600,Among dense woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/00781514.jpg,,,,,,,,,, +滇尖子木,Oxyspora yunnanensis,王功范,1-0262,20030529,贵州省,700,沟谷密林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00781513.jpg,,,,,,,,,, +刺叶猫头,Oxytropis aciphylla,中苏队,11,19600600,内蒙古自治区,1340,山前平原沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078330.jpg,,,,,,,,,, +刺叶猫头,Oxytropis aciphylla,V.Petrovsky T.Plieva,6576,19840714,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598192.jpg,,,,,,,,,, +刺叶猫头,Oxytropis aciphylla,"郭柯,郑度",12711,19880909,青海省,3700,山地草原,,无花无果,https://image.cvh.ac.cn/files/l/PE/01468313.jpg,,,,,,,,,, +鸟状棘豆,Oxytropis avisoides,青藏队植被组,8871,19760704,西藏自治区,4650,,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432595.jpg,,,,,,,,,, +,Oxytropis avisoides,杨赵平,LiZJ1948,20100826,新疆维吾尔自治区,2322,高山草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1323693.jpg,,,,,,,,,, +鸟状棘豆,Oxytropis avisoides,吴玉虎,28755,20040720,青海省,4360,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0240501.jpg,,,,,,,,,, +八宿棘豆,Oxytropis baxoiensis,青藏队植被组,9069,19760711,西藏自治区,3900,,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432543.jpg,,,,,,,,,, +八宿棘豆,Oxytropis baxoiensis,吴玉虎,32591,20050706,青海省,4236,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0210696.jpg,,,,,,,,,, +美丽棘豆,Oxytropis bella,,,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00027942.jpg,,,,,,,,,, +地角儿苗,Oxytropis bicolor,黄河队,6890,19560523,陕西省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081826.jpg,,,,,,,,,, +地角儿苗,Oxytropis bicolor,云台山采集队,848,20090614,河南省,,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026487.jpg,,,,,,,,,, +二花棘豆,Oxytropis biflora,青藏队植被组,11993,19760724,西藏自治区,5000,山谷口草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432544.jpg,,,,,,,,,, +短梗棘豆,Oxytropis brevipedunculata,青藏队植被组,11869,19760706,西藏自治区,5400,水边草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432546.jpg,,,,,,,,,, +,Oxytropis brevipedunculata,"田新民,王志强,邹嘉宾",LiuJQ-Txm10-051,20100816,青海省,4634,高寒草地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1323696.jpg,,,,,,,,,, +克什米尔棘豆,Oxytropis cachemiriana,费勇,孙航等,696,19900831,西藏自治区,4700,on meadow in alpine,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0618930.jpg,,,,,,,,,, +克什米尔棘豆,Oxytropis cachemiriana,,,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00027963.jpg,,,,,,,,,, +,Oxytropis caerulea,"石硕,张涛",SZ4032,20140903,河北省,1530,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02031792.jpg,,,,,,,,,, +,Oxytropis caerulea,段长虹,Dch0104,20140605,山西省,1774,黄土高坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015720.jpg,,,,,,,,,, +,Oxytropis cinerascens,青藏队植被组,4142,19750622,西藏自治区,4400,东北草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00098527.jpg,,,,,,,,,, +,Oxytropis deflexa,"朱相云,杨永,潘勃",20050071,20050718,西藏自治区,3310,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01979953.jpg,,,,,,,,,, +,Oxytropis deflexa,刘全儒,s.n.,20040719,山西省,2650,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860615.jpg,,,,,,,,,, +,Oxytropis densa,郭柯,K-128,19900715,青海省,4920,高寒草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060109.jpg,,,,,,,,,, +,Oxytropis densa,青藏队藏北分队郎楷永,9628,19760706,西藏自治区,5200,脚下山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00098597.jpg,,,,,,,,,, +镰荚棘豆(原变种),Oxytropis falcata var. falcata,,,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00027992.jpg,,,,,,,,,, +改则棘豆,Oxytropis gerzeensis,青藏队植被组,12567,19760914,西藏自治区,5200,山脚下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432549.jpg,,,,,,,,,, +改则棘豆,Oxytropis gerzeensis,"郭本兆,王为义,郭诸王",12309,19750901,青海省,3400,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00098689.jpg,,,,,,,,,, +,Oxytropis giraldii,"郎楷永,李良千,费勇",1980,19830622,四川省,2600,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00491471.jpg,,,,,,,,,, +,Oxytropis giraldii,T.N.Liou P.C.Tsoong,858,19370913,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00098698.jpg,,,,,,,,,, +,Oxytropis giraldii,青甘队,3060,19600728,甘肃省,2800,沟谷林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00098696.jpg,,,,,,,,,, +小花棘豆,Oxytropis glabra,秦仁昌,9,19560702,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111848.jpg,,,,,,,,,, +小花棘豆,Oxytropis glabra,中苏队,51,19600629,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078334.jpg,,,,,,,,,, +小花棘豆,Oxytropis glabra,,s.n.,19900209,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01925693.jpg,,,,,,,,,, +,Oxytropis hirsutiuscula,"郭柯,郑度",12854,19900914,新疆维吾尔自治区,3100,谷地 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01606098.jpg,,,,,,,,,, +短硬毛棘豆,Oxytropis hirsutiuscula,,,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00028107.jpg,,,,,,,,,, +短硬毛棘豆,Oxytropis hirsutiuscula,吴磊,吴娱,XJ0091,20130628,新疆,,,,,https://image.cvh.ac.cn/files/l/BNU/BNU0022613.jpg,,,,,,,,,, +,Oxytropis humifusa,傅国勋,195,19600607,西藏自治区,4400,山北坡与垫状植物及小麻黄同生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00099101.jpg,,,,,,,,,, +,Oxytropis humifusa,"陈世龙,高庆波,张发起等",ChenSL0585,20090814,青海省,4460,高山草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1323759.jpg,,,,,,,,,, +密花棘豆,Oxytropis imbricata,胡叔良等,23,19560803,甘肃省,2870,草地 阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827104.jpg,,,,,,,,,, +,Oxytropis imbricata,吴玉虎,LJQ-QLS-2008-0164,20080729,青海省,3310,干旱石质山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1323772.jpg,,,,,,,,,, +甘肃棘豆,Oxytropis kansuensis,PE西藏队,PE5081,20170825,西藏自治区,3749,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330364.jpg,,,,,,,,,, +甘肃棘豆,Oxytropis kansuensis,张兆清,93-244,19930830,四川省,3450,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309149.jpg,,,,,,,,,, +,Oxytropis lapponica,"张新时,郭柯",天山-647,19860816,新疆维吾尔自治区,2400,云杉林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097535.jpg,,,,,,,,,, +,Oxytropis lapponica,,s.n.,19790615,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925768.jpg,,,,,,,,,, +宽翼棘豆,Oxytropis latialata,郎楷永,9485,19760622,西藏自治区,5100,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432552.jpg,,,,,,,,,, +,Oxytropis lehmanni,青藏队,8446,19760714,西藏自治区,4300,山坡砂砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00099375.jpg,,,,,,,,,, +等瓣棘豆,Oxytropis lehmanni,青藏队,吴玉虎,870046,19870619,新疆维吾尔自治区,3200,山坡砾石地,木草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00013216.jpg,,,,,,,,,, +等瓣棘豆,Oxytropis lehmanni,,,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00028132.jpg,,,,,,,,,, +线苞棘豆,Oxytropis linearibracteata,王金亭,3363,19610604,西藏自治区,4200,四级阶地的冲积堆较干燥,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432554.jpg,,,,,,,,,, +线苞棘豆,Oxytropis linearibracteata,青藏队,吴玉虎,870453,19870704,新疆维吾尔自治区,4050,砾石山坡,木草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00013214.jpg,,,,,,,,,, +长翼棘豆,Oxytropis longialata,陶德定,10426,19760531,西藏自治区,4050,河谷台地沙砾处,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432556.jpg,,,,,,,,,, +,Oxytropis maduoensis,"陈世龙,张得钧,高庆波,张发起",ChenSL0048,20080723,青海省,4300,高寒草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1323816.jpg,,,,,,,,,, +玛沁棘豆,Oxytropis maqinensis,不祥,205,19630712,青海省,3330,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/001203.jpg,,,,,,,,,, +黑萼棘豆,Oxytropis melanocalyx,"陈伟烈,陈家瑞,郭柯等",6558,19840620,四川省,4200,高山灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045361.jpg,,,,,,,,,, +黑萼棘豆,Oxytropis melanocalyx,,26,19830000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802506.jpg,,,,,,,,,, +,Oxytropis merkensis,"张新时,郭柯",天山-055,19860729,新疆维吾尔自治区,,山地侧坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097532.jpg,,,,,,,,,, +,Oxytropis merkensis,V.Goloskokov,s.n.,19370627,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923604.jpg,,,,,,,,,, +,Oxytropis merkensis,科学院黄河队甘一队,2286,19560814,宁夏回族自治区,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00498910.jpg,,,,,,,,,, +,Oxytropis microphylla,"王金亭,武田义明",106,19860408,西藏自治区,4500~4600,山麓冰碛丘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081069.jpg,,,,,,,,,, +,Oxytropis microphylla,泛喜马拉雅植物志巴基斯坦采集队,FPH-1312,20120908,新疆维吾尔自治区,3670,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004908.jpg,,,,,,,,,, +,Oxytropis microphylla,S.Noshiro et al,20105095,20100814,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923226.jpg,,,,,,,,,, +小球棘豆,Oxytropis microsphaera,吴磊,吴娱,XJ0042,20130623,新疆,,,,,https://image.cvh.ac.cn/files/l/BNU/BNU0022455.jpg,,,,,,,,,, +,Oxytropis mollis,王金亭,3590,19610719,西藏自治区,4580,河漫滩的干燥少土的卵石滩上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02047181.jpg,,,,,,,,,, +,Oxytropis mollis,泛喜马拉雅植物志巴基斯坦采集队,FPH-0386,20120621,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005281.jpg,,,,,,,,,, +软毛棘豆,Oxytropis mollis,青藏补点,425,19750701,青海省,3400,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/51061.jpg,,,,,,,,,, +黄毛棘豆,Oxytropis ochrantha,"石硕,祝东立,祝振清",SZ3705,20140806,河北省,1248,石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063866.jpg,,,,,,,,,, +黄毛棘豆,Oxytropis ochrantha,段长虹,Dch0348,20140715,山西省,1716,山坡溪边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02038577.jpg,,,,,,,,,, +黄毛棘豆,Oxytropis ochrantha,T.P.Wang,5534,19360803,甘肃省,3000,On weedy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826251.jpg,,,,,,,,,, +黄花棘豆,Oxytropis ochrocephala,D.E.Boufford et al.,33848,20050730,西藏自治区,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01983695.jpg,,,,,,,,,, +黄花棘豆,Oxytropis ochrocephala,J.I.Jeon et al.,SI1302,20100810,四川省,3653,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924403.jpg,,,,,,,,,, +黄花棘豆,Oxytropis ochrocephala,,61403,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01813884.jpg,,,,,,,,,, +长苞黄花棘豆,Oxytropis ochrolongibracteata,郝加琛、周瑜,161025,20160818,青海省,1700,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0031853.jpg,,,,,,,,,, +长萼棘豆,Oxytropis parasericeopetala,张永田 郎楷永,1877,19650818,西藏自治区,5000,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432565.jpg,,,,,,,,,, +长萼棘豆,Oxytropis parasericeopetala,张林、李星月、张晓严,4月2日,20180609,西藏,4437,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023643.jpg,,,,,,,,,, +,Oxytropis pauciflora,青藏队植被组,13216,19760709,西藏自治区,4500,河漫滩沼泽草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826654.jpg,,,,,,,,,, +,Oxytropis pauciflora,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826032.jpg,,,,,,,,,, +宽柄棘豆,Oxytropis platonychia,陈晓亚 刘启新,87355,19870611,新疆维吾尔自治区,0~1700,,,有花有果,https://image.cvh.ac.cn/files/l/N/128082187.jpg,,,,,,,,,, +,Oxytropis platysema,"张新时,郭柯",天山-317,19860803,新疆维吾尔自治区,3325,倒石堆下部,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097538.jpg,,,,,,,,,, +,Oxytropis platysema,青藏队植被组,11871,19760706,西藏自治区,5200,水边草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826042.jpg,,,,,,,,,, +帕米尔棘豆,Oxytropis poncinsii,武素功、吴玉虎、费勇,5055,19890816,新疆维吾尔自治区,4500,On gravel slope,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00013618.jpg,,,,,,,,,, +中亚棘豆,Oxytropis poncinsii,,,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00028365.jpg,,,,,,,,,, +庞氏棘豆,Oxytropis poncinsii,吴磊,吴娱,XJ0116,20130630,新疆,,,,,https://image.cvh.ac.cn/files/l/BNU/BNU0022631.jpg,,,,,,,,,, +,Oxytropis proboscidea,泛喜马拉雅植物志巴基斯坦采集队,FPH-1315,20120908,新疆维吾尔自治区,3670,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004909.jpg,,,,,,,,,, +,Oxytropis proboscidea,"张永田,郞楷永",s.n.,19660528,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826686.jpg,,,,,,,,,, +,Oxytropis proboscidea,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826687.jpg,,,,,,,,,, +,Oxytropis pusilla,青藏队植被组,5567,19750727,西藏自治区,4800,湖边 小溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826311.jpg,,,,,,,,,, +,Oxytropis pusilla,青藏队,870423,19870703,新疆维吾尔自治区,4000,河边沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826283.jpg,,,,,,,,,, +,Oxytropis qilianshanica,青藏队藏北分队郎楷永,10084,19760829,西藏自治区,5100,尼玛区途中木嘎日东北误取山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01826346.jpg,,,,,,,,,, +,Oxytropis qilianshanica,"郭本兆,王为义",12470,19750905,青海省,3500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01826345.jpg,,,,,,,,,, +,Oxytropis qilianshanica,,1107,19640723,甘肃省,3100,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826322.jpg,,,,,,,,,, +,Oxytropis qinghaiensis,"Ho Ting-nung,Burce Bartholomew & Mike Gibert",592,19930731,青海省,3600,River valley with narrow terrace with short turf along river and steep slopes with rock outcrops.On slope.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00412471.jpg,,,,,,,,,, +青海棘豆,Oxytropis qinghaiensis,吴玉虎,31986,20040805,甘肃省,3310,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0206947.jpg,,,,,,,,,, +囊谦棘豆,Oxytropis qingnanensis,王为义等,90,19850613,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00013424.jpg,,,,,,,,,, +肾瓣黄芪,Oxytropis reniformis,青藏队,3605,19740600,西藏自治区,4300,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432569.jpg,,,,,,,,,, +,Oxytropis savellanica,郭柯,K-153,19900727,青海省,5110,冰积物,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060120.jpg,,,,,,,,,, +,Oxytropis savellanica,E.Varivtzeva,328,19410827,,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932191.jpg,,,,,,,,,, +,Oxytropis savellanica,青藏队植被组,4130,19750622,西藏自治区,4900,古冰川第三级侧碛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01812929.jpg,,,,,,,,,, +,Oxytropis sericopetala,"Y.S.Chen,Z.Y.Chang,M.Deng F.Q.Zhang,Y.Xu",13-0075,20130802,西藏自治区,3574,沙丘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01992262.jpg,,,,,,,,,, +,Oxytropis sericopetala,"朱相云,杨永,潘勃",20050037,20050712,四川省,3540,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01976724.jpg,,,,,,,,,, +鳞萼棘豆,Oxytropis squammulosa,"郭本兆,王为义",11311,19750710,青海省,3290,干滩,,无花无果,https://image.cvh.ac.cn/files/l/PE/01813007.jpg,,,,,,,,,, +鳞萼棘豆,Oxytropis squammulosa,W.Y.Hsia,4846,19390422,甘肃省,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01813005.jpg,,,,,,,,,, +鳞萼棘豆,Oxytropis squammulosa,黄河队,8616,19560904,宁夏回族自治区,2000,梁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01813006.jpg,,,,,,,,,, +,Oxytropis stracheyana,郭柯,K-212,19900812,青海省,4600,沙质台地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099300.jpg,,,,,,,,,, +,Oxytropis stracheyana,"郭柯,郑度",12825,19900905,新疆维吾尔自治区,4050,山地草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045727.jpg,,,,,,,,,, +短序棘豆,Oxytropis subpodoloba,张经炜,6269,19730812,西藏自治区,3500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860612.jpg,,,,,,,,,, +,Oxytropis taochensis,,10174,19750707,四川省,3400,长?积水的湿地中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01813131.jpg,,,,,,,,,, +,Oxytropis taochensis,Hopkinson,601,19300703,甘肃省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01813129.jpg,,,,,,,,,, +,Oxytropis tatarica,李发重,21,19720800,西藏自治区,4550,高原戈壁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01812951.jpg,,,,,,,,,, +,Oxytropis tatarica,T.N.Liou,5511,19321015,,483,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01685551.jpg,,,,,,,,,, +,Oxytropis tatarica,"陈家辉, 庄会富, 边巴扎西",YangYP-Q-2029,20090814,西藏,,高寒草原,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1323985.jpg,,,,,,,,,, +,Oxytropis thomsonii,傅国勋,376,19600000,西藏自治区,,江边沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090290.jpg,,,,,,,,,, +长喙棘豆,Oxytropis thomsonii,杨竞生,91-1042,19910921,甘肃省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0197511.jpg,,,,,,,,,, +天山棘豆,Oxytropis tianschanica,,,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00028447.jpg,,,,,,,,,, +,Oxytropis xinglongshanica,沈剑明,41,19820712,甘肃省,2600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01611003.jpg,,,,,,,,,, +兴隆山棘豆,Oxytropis xinglongshanica,张志和等,425,19890729,青海省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/156459.jpg,,,,,,,,,, +云南棘豆,Oxytropis yunnanensis,"倪志诚,汪永泽,次多,次旦",1154,19800816,西藏自治区,4200,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01813210.jpg,,,,,,,,,, +云南棘豆,Oxytropis yunnanensis,,8941,19600613,云南省,4200,山坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01813196.jpg,,,,,,,,,, +云南棘豆,Oxytropis yunnanensis,T.N.Ho (HNWP) et al.,1640,19960811,青海省,4350,South facing rocky slope with Kobresia meadow,,无花有果,https://image.cvh.ac.cn/files/l/PE/01813188.jpg,,,,,,,,,, +拉萨厚棱芹,Pachypleurum lhasanum,张永田 郎楷永,2270,19650831,西藏自治区,4600,山坡草地,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00935534.jpg,,,,,,,,,, +拉萨厚棱芹,Pachypleurum lhasanum,陈晓澄等,5710,20140804,西藏,3603,沼泽草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019403.jpg,,,,,,,,,, +拉萨厚棱芹,Pachypleurum lhasanum,溥发鼎,328,1984-9 1,四川省,4300,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093879.jpg,,,,,,,,,, +木里厚棱芹,Pachypleurum muliense,赵清盛、牟克华、杨亚滨,7569,1978-8 1,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172286.jpg,,,,,,,,,, +聂拉木厚棱芹,Pachypleurum nyalamense,汤宗孝,1051,19810913,云南省,,石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01629667.jpg,,,,,,,,,, +聂拉木厚棱芹,Pachypleurum nyalamense,"李渤生,李辉,多吉次旦",13063A,19900815,西藏自治区,4400~4900,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196060.jpg,,,,,,,,,, +聂拉木厚棱芹,Pachypleurum nyalamense,魏来、郝加琛,15285,20150726,西藏,4164,路边河滩,草本,,https://image.cvh.ac.cn/files/l/BNU/0028034.jpg,,,,,,,,,, +西藏厚棱芹,Pachypleurum xizangense,,I 52,722,西藏自治区,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860164.jpg,,,,,,,,,, +西藏厚棱芹,Pachypleurum xizangense,青藏队,3214,19810804,四川省,3800,灌丛草地或高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129874.jpg,,,,,,,,,, +板凳果,Pachysandra axillaris,巴山采集队,1623,20080719,重庆市,1959,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229622.jpg,,,,,,,,,, +板凳果,Pachysandra axillaris,"Li Heng,Yang Shixiong,Lei Ligong etc.",1300,20030412,云南省,2490,次生常绿阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111873.jpg,,,,,,,,,, +板凳果,Pachysandra axillaris,"耿玉英,朱大海,李小杰",20070174,20070423,四川省,2500,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02029115.jpg,,,,,,,,,, +,Padus avium,张会金等,93,20050827,新疆维吾尔自治区,1309,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02061972.jpg,,,,,,,,,, +,Padus avium,孔冬梅,k0468,20140725,山西省,2083,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02035066.jpg,,,,,,,,,, +,Padus avium,徐连升,X140067,20140814,吉林省,868,河边林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02031155.jpg,,,,,,,,,, +短梗稠李,Padus brachypoda,张志英,4950,19590618,甘肃省,2280,山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01863233.jpg,,,,,,,,,, +短梗稠李,Padus brachypoda,巴山采集队,2667,20080726,重庆市,1763,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851128.jpg,,,,,,,,,, +褐毛稠李,Padus brunnescens,巴山采集队,5678,20110713,四川省,2100,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872740.jpg,,,,,,,,,, +褐毛稠李,Padus brunnescens,何全华,1541,19580619,陕西省,1400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00591428.jpg,,,,,,,,,, +灰叶稠李,Padus grayana,罗仲春,113,20050501,湖南省,1200,阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042672.jpg,,,,,,,,,, +灰叶稠李,Padus grayana,T.T.Yu,s.n.,19480000,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01656403.jpg,,,,,,,,,, +灰叶稠李,Padus grayana,S.Suzuki,4016,19300402,台湾省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01656406.jpg,,,,,,,,,, +粗梗稠李,Padus napaulensis,刘恩德,5909,20020827,云南省,2500,路边,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921187.jpg,,,,,,,,,, +粗梗稠李,Padus napaulensis,巴山采集队,993,20080709,重庆市,1394,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851138.jpg,,,,,,,,,, +细齿稠李,Padus obtusata,"董洪进,赵飞",WM-0465,20160518,云南省,1700~1900,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090319.jpg,,,,,,,,,, +细齿稠李,Padus obtusata,唐昌林,1672,19670730,甘肃省,2250,山谷,密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902302.jpg,,,,,,,,,, +细齿稠李,Padus obtusata,中国科学院北京植物园峨眉山采集队,E-234,20070521,四川省,2200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902280.jpg,,,,,,,,,, +宿鳞稠李,Padus perulata,杨国平,101,20030724,云南省,2490,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01438728.jpg,,,,,,,,,, +宿鳞稠李,Padus perulata,青藏队,11643,19830627,四川省,2200,山沟常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01158523.jpg,,,,,,,,,, +星毛稠李,Padus stellipila,刘彬彬,1962,20140603,浙江省,989,roadsides in the evergreen broad-leaved forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02071049.jpg,,,,,,,,,, +星毛稠李,Padus stellipila,青藏队,11753,19830705,四川省,2300,山坡 常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01158527.jpg,,,,,,,,,, +星毛稠李,Padus stellipila,张志英,15987,19630515,陕西省,1270,山沟路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00995724.jpg,,,,,,,,,, +毡毛稠李,Padus velutina,北京队,2128,19880703,湖南省,1400,山坡 林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01365058.jpg,,,,,,,,,, +毡毛稠李,Padus velutina,"何铸,周子林",12743,19520000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00591460.jpg,,,,,,,,,, +毡毛稠李,Padus velutina,"熊济华,周子林",90342,19570416,重庆市,1650,竹林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00591459.jpg,,,,,,,,,, +绢毛稠李,Padus wilsonii,毕节队,954,19590817,贵州省,1450,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01853005.jpg,,,,,,,,,, +绢毛稠李,Padus wilsonii,白水江考察队,763,20060629,甘肃省,2000,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01680029.jpg,,,,,,,,,, +绢毛稠李,Padus wilsonii,石世贵,S-G-W-0395,19960629,湖北省,1500,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01650655.jpg,,,,,,,,,, +,Paederia foetida,林秦文,2013-147,20130531,云南省,1750,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111019.jpg,,,,,,,,,, +,Paederia foetida,孔冬梅,k0240,20140707,山西省,1075,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015843.jpg,,,,,,,,,, +云南鸡矢藤,Paederia yunnanensis,"王印政,彭华,邓德山,邓云飞,税玉民,朱大海",4985,19981027,云南省,1100,山地,山坡,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02098635.jpg,,,,,,,,,, +云南鸡矢藤,Paederia yunnanensis,谭世鑫,73,20041004,贵州省,950,杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02056795.jpg,,,,,,,,,, +云南鸡矢藤,Paederia yunnanensis,,青2灌30,19730800,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016015.jpg,,,,,,,,,, +,Paeonia decomposita subsp. decomposita,洪德元等,H06008,20060513,四川省,2620,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269636.jpg,,,,,,,,,, +狭叶牡丹,Paeonia delavayi var. angustiloba,G.Forrest,12503,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087941.jpg,,,,,,,,,, +狭叶牡丹,Paeonia delavayi var. angustiloba,,6037,,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087942.jpg,,,,,,,,,, +紫牡丹 (原变种),Paeonia delavayi var. delavayi,梅里队,25209,19920608,云南省,2300,村边,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006179.jpg,,,,,,,,,, +黄牡丹,Paeonia delavayi var. lutea,"陈伟烈,陈家瑞,郭柯,闫建平",5713,19840531,四川省,2800,沟谷杂木林路边或开旷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02096729.jpg,,,,,,,,,, +黄牡丹,Paeonia delavayi var. lutea,"李渤生,程树志,倪志诚",7220,19830902,西藏自治区,3200,干旱山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073483.jpg,,,,,,,,,, +黄牡丹,Paeonia delavayi var. lutea,青藏队植被组,8308,19760609,云南省,2800,华山松树下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00048413.jpg,,,,,,,,,, +多花芍药,Paeonia emodi,周世良,H01031,20010802,西藏自治区,2480,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01269692.jpg,,,,,,,,,, +多花芍药,Paeonia emodi,J.F.Duthie,25462,,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087957.jpg,,,,,,,,,, +多花芍药,Paeonia emodi,张廷,蔡杰,袁明等,09CS1509,20090922,西藏,2824,山坡开阔灌草丛,,果标本,https://image.cvh.ac.cn/files/l/KUN/1233278.jpg,,,,,,,,,, +芍药,Paeonia lactiflora,陈全胜,CF05-4057,20180625,内蒙古自治区,1708,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247250.jpg,,,,,,,,,, +芍药,Paeonia lactiflora,中阳甲队,106,19550610,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082202.jpg,,,,,,,,,, +美丽芍药,Paeonia mairei,"傅德志,陈淑荣,邵毅贞等",1536,20140422,四川省,1600~1900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021483.jpg,,,,,,,,,, +美丽芍药,Paeonia mairei,白水江采集队,5292,20070521,甘肃省,2310,山坡杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801562.jpg,,,,,,,,,, +白花芍药,Paeonia sterniana,洪德元等,H06017,20060519,西藏自治区,3100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01269689.jpg,,,,,,,,,, +白花芍药,Paeonia sterniana,青藏补点组,5930,19770913,西藏,3000,灌木丛下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/365439.jpg,,,,,,,,,, +短柄铜钱树,Paliurus orientalis,孙航等,15055,20100529,四川省,1488,山坡上,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920166.jpg,,,,,,,,,, +短柄铜钱树,Paliurus orientalis,李光照,13112,19431024,广西壮族自治区,138,山坡石灰岩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01878121.jpg,,,,,,,,,, +羽叶三七,Panax bipinnatifidus,赵鑫磊,s.n.,20060730,四川省,3500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111815.jpg,,,,,,,,,, +羽叶三七,Panax bipinnatifidus,生态室高原组,14151,19800810,西藏自治区,2000,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048547.jpg,,,,,,,,,, +羽叶三七,Panax bipinnatifidus,红水河植物考察队,2247,19890617,云南省,2500,石灰岩,杜鹃到高山栎灌丛下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01991636.jpg,,,,,,,,,, +竹节参,Panax japonicus,"李渤生,程树志,倪志诚",5677,19830721,西藏自治区,3200~3600,Abies Piceae林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077817.jpg,,,,,,,,,, +竹节参,Panax japonicus,Kenji Inoue,100543,19900717,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01925527.jpg,,,,,,,,,, +竹节参,Panax japonicus,邓云飞等,s.n.,19970400,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01611812.jpg,,,,,,,,,, +,Panax notoginseng,"Jin Xh,Wang LS Wang Q et al.",ST1734,20130802,云南省,2700~3700,conifer forest to apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01976963.jpg,,,,,,,,,, +,Panax notoginseng,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00942280.jpg,,,,,,,,,, +,Panax pseudoginseng,秦仁昌,30694,19391008,云南省,,林内,,,https://image.cvh.ac.cn/files/l/KUN/1292802.jpg,,,,,,,,,, +,Panax pseudoginseng,"顾垒,李忠荣",GaoXF-09ZX-1543,20090731,四川省,3200,云杉林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1335418.jpg,,,,,,,,,, +假人参,Panax pseudoginseng,郑学六,,19560800,广西壮族自治区,,野生,,,https://image.cvh.ac.cn/files/l/IBK/IBK00316521.jpg,,,,,,,,,, +糠稷,Panicum bisulcatum,戴胜贤,1817,20061209,台湾省,,水稻田,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088678.jpg,,,,,,,,,, +糠稷,Panicum bisulcatum,川黔队,1188,19560829,贵州省,1510,山坡 阳处 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049064.jpg,,,,,,,,,, +糠稷,Panicum bisulcatum,,,19620925,广西壮族自治区,800,荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981326.jpg,,,,,,,,,, +,Panicum elegantissimum,陈恒彬,2316,19900530,福建省,50,山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/FJSI/FJSI023239.jpg,,,,,,,,,, +滇西黍,Panicum khasianum,刘艳春,813,20111023,云南,1959,山坡草丛,草本,,https://image.cvh.ac.cn/files/l/KUN/1403033.jpg,,,,,,,,,, +,Panicum maximum,S.Y.Hu & Paul P.H.But,20185,19920312,香港,,Tall caespitose grass,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950971.jpg,,,,,,,,,, +,Panicum maximum,陈添财等,10739,20000727,台湾省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01787235.jpg,,,,,,,,,, +,Panicum maximum,H.J.Aanonymous,554,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01675687.jpg,,,,,,,,,, +,Panicum sumatrense,"Liu Yanchun,Tang Ying",446,20100918,云南省,1025,near the stream,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089430.jpg,,,,,,,,,, +,Panicum sumatrense,钟明哲,4262,20090131,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088547.jpg,,,,,,,,,, +单叶曲唇兰,Panisea cavaleriei,华南生物多样性调查队 金效华,5035,20030927,海南省,1000,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032876.jpg,,,,,,,,,, +单叶曲唇兰,Panisea cavaleriei,刘慎谔,18317,19410517,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00523922.jpg,,,,,,,,,, +单叶曲唇兰,Panisea cavaleriei,S.P.Ko,56094,19351121,广西壮族自治区,,on rock slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/00523918.jpg,,,,,,,,,, +灰毛罂粟,Papaver canescens,李不磷,193,19570715,新疆维吾尔自治区,2780,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057094.jpg,,,,,,,,,, +,Papaver canescens,张挺,杨赵平,焦培培,张权,杨力,08CS513,20080729,新疆,2935,高山灌草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1234903.jpg,,,,,,,,,, +野罂粟,Papaver nudicaule,陈全胜,CF03-4010,20180624,内蒙古自治区,1191,道边榆树林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246807.jpg,,,,,,,,,, +野罂粟,Papaver nudicaule,李才贵,70,19840625,山西省,2720,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081453.jpg,,,,,,,,,, +野罂粟,Papaver nudicaule,林有润,74-1182,19740906,新疆维吾尔自治区,1150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057118.jpg,,,,,,,,,, +,Papaver rhoeas,周太炎等,553,19500504,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057123.jpg,,,,,,,,,, +,Papaver rhoeas,马淼,1390-172,20100703,新疆维吾尔自治区,2350,高寒草甸草厚,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057099.jpg,,,,,,,,,, +,Papaver rhoeas,李洁英,20428,19620330,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02055998.jpg,,,,,,,,,, +,Papaver somniferum,刘正宇,12574,19960620,重庆市,650,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057105.jpg,,,,,,,,,, +,Papaver somniferum,杨屹,88-011,19890825,新疆维吾尔自治区,500,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057104.jpg,,,,,,,,,, +,Papaver somniferum,王薇等,541,19590719,辽宁省,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02055992.jpg,,,,,,,,,, +杏黄兜兰,Paphiopedilum armeniacum,Luo Y.B.et al.,547,19980428,云南省,2415,under shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/01644310.jpg,,,,,,,,,, +杏黄兜兰,Paphiopedilum armeniacum,邬文祥,8677,19890501,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585470.jpg,,,,,,,,,, +秀丽兜兰,Paphiopedilum venustum,Xiaohua Jin,14866,20150120,西藏自治区,,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233138.jpg,,,,,,,,,, +秀丽兜兰,Paphiopedilum venustum,方震东,885,19880707,云南省,3450,针落叶混交林下,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003809.jpg,,,,,,,,,, +,Papilionanthe biswasiana,Jin Xiaohua,13623,20130405,云南省,1900,tropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233039.jpg,,,,,,,,,, +,Papilionanthe biswasiana,李剑武,1318,20120403,云南,1800,路边树上,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027612.jpg,,,,,,,,,, +连蕊藤,Parabaena sagittata,"Cribb,P.J. et al.",ASBK 261,19970429,广西壮族自治区,900,"mixed deciduonus/everygreen forest,on slope of limestone hill",,有花无果,https://image.cvh.ac.cn/files/l/PE/01986449.jpg,,,,,,,,,, +连蕊藤,Parabaena sagittata,"李渤生,程树志等",2642,19830121,西藏自治区,850,路边时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658239.jpg,,,,,,,,,, +连蕊藤,Parabaena sagittata,王洪,3560,20010422,云南省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658177.jpg,,,,,,,,,, +蛛毛苣苔,Paraboea sinensis,李家美,5815,20050801,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111534.jpg,,,,,,,,,, +蛛毛苣苔,Paraboea sinensis,李鹏伟,LPW2016034,20160607,重庆市,790,路边石壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088193.jpg,,,,,,,,,, +蛛毛苣苔,Paraboea sinensis,梁荣花,LRH024,20070813,广西壮族自治区,1200~900,石岩上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072039.jpg,,,,,,,,,, +平当树,Paradombeya sinensis,毛品一,1785,19521117,云南省,1400,河旁斜坡润湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01304672.jpg,,,,,,,,,, +平当树,Paradombeya sinensis,T.T.Yu,4152,19341022,四川省,280,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01304668.jpg,,,,,,,,,, +光叶拟单性木兰,Parakmeria nitida,北京队,895098,19890525,广西壮族自治区,1000,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01982509.jpg,,,,,,,,,, +光叶拟单性木兰,Parakmeria nitida,青藏队,8215,19820720,云南省,2000,常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01109187.jpg,,,,,,,,,, +光叶拟单性木兰,Parakmeria nitida,G.Forrest,29707,19310000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00145493.jpg,,,,,,,,,, +假糙苏,Paraphlomis javanica,王强,W15001,20150913,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328339.jpg,,,,,,,,,, +假糙苏,Paraphlomis javanica,South Tibet Exp.Team(Jin Xiaohua etc.),STET1953,20100802,西藏自治区,800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02328337.jpg,,,,,,,,,, +翅果蓼,Parapteropyrum tibeticum,FLPH Tibet Expedition,12-1049,,西藏自治区,,雅鲁藏布江旁干旱河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967910.jpg,,,,,,,,,, +,Parapteropyrum tibeticum,罗建,汪书丽,任德智,L041,20100903,西藏,3203,江边沙坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1240509.jpg,,,,,,,,,, +乳突拟耧斗菜,Paraquilegia anemonoides,王忠涛等,146,20070623,新疆维吾尔自治区,2700,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962065.jpg,,,,,,,,,, +乳突拟耧斗菜,Paraquilegia anemonoides,李振宇,11105,19970922,甘肃省,2900,白云岩缝隙中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956979.jpg,,,,,,,,,, +密丛拟耧斗菜,Paraquilegia caespitosa,生物研究所西藏考察队,3243,1974.6.1,新疆维吾尔自治区 ,3800,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00010233.jpg,,,,,,,,,, +密丛拟耧斗菜,Paraquilegia caespitosa,生物研究所西藏考察队,3243,1974618,,3800,,半灌木,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20009991.jpg,,,,,,,,,, +密丛拟耧斗菜,Paraquilegia caespitosa,魏来、郝加琛,15600,20150805,西藏自治区,4534,石质山坡石缝,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0031864.jpg,,,,,,,,,, +拟耧斗菜,Paraquilegia microphylla,PE西藏考察队,7031,20180608,西藏自治区,4172~4868,山坡石缝中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333954.jpg,,,,,,,,,, +拟耧斗菜,Paraquilegia microphylla,北京所横断山队,2246,19810729,云南省,4100~4500,高山岩壁偶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046818.jpg,,,,,,,,,, +拟耧斗菜,Paraquilegia microphylla,,,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032606.jpg,,,,,,,,,, +地皮消,Pararuellia delavayana,红水河植物考察队,1241,19890516,广西壮族自治区,700,清水江大桥河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011385.jpg,,,,,,,,,, +地皮消,Pararuellia delavayana,"刘冰,叶建飞",250,20100711,四川省,2218,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01884597.jpg,,,,,,,,,, +地皮消,Pararuellia delavayana,王洪,6344,20030523,云南省,570,苗圃,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882290.jpg,,,,,,,,,, +,Parasenecio deltophyllus,郭本兆,9573,19710823,青海省,,阴坡草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846496.jpg,,,,,,,,,, +三角叶蟹甲草,Parasenecio deltophyllus,姜恕等,10264,19600625,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846493.jpg,,,,,,,,,, +三角叶蟹甲草,Parasenecio deltophyllus,四川植物标本,9338,19750718,四川省,3700,谷坡中部暗针叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846487.jpg,,,,,,,,,, +太白山蟹甲草,Parasenecio pilgerianus,太白队,55051,19550628,陕西省,2000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799424.jpg,,,,,,,,,, +太白山蟹甲草,Parasenecio pilgerianus,白水江考察队,2053,20060714,甘肃省,1500,山沟林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612650.jpg,,,,,,,,,, +五裂蟹甲草,Parasenecio quinquelobus,陈又生,8075,20080815,云南省,3000,山谷溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113557.jpg,,,,,,,,,, +五裂蟹甲草,Parasenecio quinquelobus,FLPH Sichuan Expedition,15870,20150901,四川省,4070,forest margin,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084758.jpg,,,,,,,,,, +五裂蟹甲草,Parasenecio quinquelobus,康藏植物考察队,10-2201,20100817,西藏自治区,3942,高山栎林下,,,https://image.cvh.ac.cn/files/l/PE/02053751.jpg,,,,,,,,,, +墙草,Parietaria micrantha,PE西藏队,PE5648,20170902,西藏自治区,4556,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293737.jpg,,,,,,,,,, +墙草,Parietaria micrantha,周口店考察队,273,20091020,北京市,157,阴湿石缝中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112111.jpg,,,,,,,,,, +墙草,Parietaria micrantha,云台山采集队,1036,20090800,河南省,,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036959.jpg,,,,,,,,,, +五指莲重楼,Paris axialis,"李渤生,程树志",3484,19830119,西藏自治区,1800,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01948429.jpg,,,,,,,,,, +五指莲重楼,Paris axialis,青藏队,7233,19800610,云南省,1900~2100,山坡常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867651.jpg,,,,,,,,,, +五指莲重楼,Paris axialis,方文培/W.P.Fang,1838,19400501,四川省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00290952.jpg,,,,,,,,,, +巴山重楼,Paris bashanensis,"张树仁,陈淑荣,朗校安等",2012,20140616,四川省,1920~2300,山谷 山坡 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021815.jpg,,,,,,,,,, +巴山重楼,Paris bashanensis,刘瑛,194,19570524,湖北省,,密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00290955.jpg,,,,,,,,,, +,Paris delavayi var. petiolata,贵州安顺地区药品检验所,77049,19770417,贵州省,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867631.jpg,,,,,,,,,, +,Paris delavayi var. petiolata,周沛椿,2185,19590505,广东省,,山地,山谷,湿土,密林少见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867630.jpg,,,,,,,,,, +,Paris delavayi var. petiolata,?青队,1888,19740611,云南省,1400,常阔林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867629.jpg,,,,,,,,,, +长柱重楼,Paris longistigmata,冯国楣,4045,0,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0348154.jpg,,,,,,,,,, +长柱重楼,Paris longistigmata,蔡希陶,53996,0,云南省,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0348195.jpg,,,,,,,,,, +,Paris mairei,K.M.Feng,949,19390522,云南省,,路边阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00291138.jpg,,,,,,,,,, +,Paris mairei,林业部林型组,s.n.,19550000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00291123.jpg,,,,,,,,,, +,Paris marmorata,,11930,19800701,四川省,2700,山谷常缘阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867663.jpg,,,,,,,,,, +,Paris marmorata,L707,525,19700722,江西省,,山地林下潮湿处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01867547.jpg,,,,,,,,,, +,Paris marmorata,青藏队,5618,19750607,西藏自治区,2400,山坡阔叶林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00036269.jpg,,,,,,,,,, +七叶一枝花,Paris polyphylla var. polyphylla,黔南队,921,19590429,贵州省,1800,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0348875.jpg,,,,,,,,,, +七叶一枝花,Paris polyphylla var. polyphylla,青藏队,6663,19750630,西藏自治区,2100~2200,阔叶林下,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0348564.jpg,,,,,,,,,, +七叶一枝花,Paris polyphylla var. polyphylla,黄志,44063,19571114,广东省,0,山地山腰密林,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0348574.jpg,,,,,,,,,, +无瓣重楼,Paris thibetica var. apetala,红水河植物考察队,450,19890423,广西壮族自治区,1600,阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017776.jpg,,,,,,,,,, +无瓣重楼,Paris thibetica var. apetala,青藏队,6685,19820521,云南省,2500~3000,山沟阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867575.jpg,,,,,,,,,, +无瓣重楼,Paris thibetica var. apetala,,1133,19590513,安徽省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867573.jpg,,,,,,,,,, +北重楼,Paris verticillata,"杨红梅,朗校安等",1622,20140423,四川省,1450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021816.jpg,,,,,,,,,, +北重楼,Paris verticillata,"王忠涛,曲上,徐连升",140482,20140618,河北省,1330,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015947.jpg,,,,,,,,,, +窄瓣梅花草,Parnassia angustipetala,T.T.Yu,7429,19370728,四川省,3900,margin of woods grassy slope,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/01842916.jpg,,,,,,,,,, +,Parnassia angustipetala,T. T. Yu,7429,1938,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00042871.jpg,,,,,,,,,, +短柱梅花草,Parnassia brevistyla,青藏队,3957,19810809,四川省,3800~3900,山沟内林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982478.jpg,,,,,,,,,, +短柱梅花草,Parnassia brevistyla,康藏植物考察队,10-2133,20100817,西藏自治区,3600~3700,山谷云杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873300.jpg,,,,,,,,,, +高山梅花草,Parnassia cacuminum,四川植物标本,6446,19740705,四川省,3900,林间灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982431.jpg,,,,,,,,,, +高山梅花草,Parnassia cacuminum,康藏植物考察队,10-1966,20100815,西藏自治区,4220,湿草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873301.jpg,,,,,,,,,, +中国梅花草,Parnassia chinensis,PE西藏队,PE6062,20170906,西藏自治区,2935,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331387.jpg,,,,,,,,,, +中国梅花草,Parnassia chinensis,泛喜马拉雅植物志巴基斯坦采集队,FPH-0804,20120624,,2575,riverside,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004739.jpg,,,,,,,,,, +中国梅花草,Parnassia chinensis,武陵队,1285,19880919,湖南省,700,山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01374572.jpg,,,,,,,,,, +指裂梅花草,Parnassia cooperi,PE西藏队,PE6654,20170914,西藏自治区,3934,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331394.jpg,,,,,,,,,, +心叶梅花草,Parnassia cordata,H.T.Tsai,58007,1934-08-,四川省,4000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145320.jpg,,,,,,,,,, +,Parnassia cordata,李恒,李嵘,776,20070925,云南,3340,高山沼泽,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237726.jpg,,,,,,,,,, +心叶梅花草,Parnassia cordata,C.W. Wang,68534,1935/08/,云南省 ,3600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0044747.jpg,,,,,,,,,, +鸡心草,Parnassia crassifolia,熊济华等,32316,19520902,四川省,,水沟边湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982421.jpg,,,,,,,,,, +鸡心草,Parnassia crassifolia,M.Iabbe Delavay,s.n.,18890820,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922294.jpg,,,,,,,,,, +鸡心草,Parnassia crassifolia,,s.n.,18910900,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01666336.jpg,,,,,,,,,, +德格梅花草,Parnassia degeensis,Y. W. Tsui,4997,19510724,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896065.jpg,,,,,,,,,, +,Parnassia degeensis,张挺,李爱花等,08CS818,20080920,四川,4030,湖边湿地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237732.jpg,,,,,,,,,, +,Parnassia degeensis,陈世龙,高庆波,张发起,李印虎,付鹏程,邢睿,ChenSL1321,20110728,青海,4470,高寒草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1301048.jpg,,,,,,,,,, +德钦梅花草,Parnassia deqenensis,康藏植物考察队,10-3318,20100905,云南省,3800,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873314.jpg,,,,,,,,,, +德钦梅花草,Parnassia deqenensis,王启无,65846,19350800,西藏自治区,,Meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/00866075.jpg,,,,,,,,,, +,Parnassia epunctulata,,SCSB-W-1062,,云南,2743,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237740.jpg,,,,,,,,,, +长爪梅花草,Parnassia farreri,T.T.Yu,22447,19370820,云南省,3300,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982465.jpg,,,,,,,,,, +长爪梅花草,Parnassia farreri,C.S.Chang et al.,SI0933,20100702,四川省,4048,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900777.jpg,,,,,,,,,, +康定梅花草,Parnassia kangdingensis,胡文光 何铸,10632,19510728,四川省,,,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/01842917.jpg,,,,,,,,,, +,Parnassia kangdingensis,彭玉兰、涂卫国、幸福,Gaoxf330,20080718,四川,3800,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0205548.jpg,,,,,,,,,, +披针瓣梅花草,Parnassia lanceolata,T.T.Yu,7429,19370728,四川省,3900,margin of woods grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01842935.jpg,,,,,,,,,, +长圆瓣梅花草,Parnassia lanceolata,滇西北金沙江队,63-6105,19630725,云南省,3600,高山灌丛草甸,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/01842922.jpg,,,,,,,,,, +丽江梅花草,Parnassia lijiangensis,秦仁昌,3102313,19400915,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896068.jpg,,,,,,,,,, +短瓣梅花草,Parnassia longipetala var. brevipetala,K.M.Feng,6472,19400809,云南省,3500~3600,杜鹃丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00866167.jpg,,,,,,,,,, +,Parnassia longipetala var. longipetala,"Handel-Mazzetti, Heinrich",9767,8-Aug-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00275516.jpg,,,,,,,,,, +似长瓣梅花草,Parnassia longipetaloides,北京所横断山队,2207,19810728,云南省,4100~4250,高山草甸上部草下偶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050319.jpg,,,,,,,,,, +黄花梅花草,Parnassia lutea,钟补求,9001,19580811,青海省,3600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00866188.jpg,,,,,,,,,, +黄花梅花草,Parnassia lutea,"P.Licent S,J.",4623,19180816,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00866179.jpg,,,,,,,,,, +凹瓣梅花草,Parnassia mysorensis,青藏队,14964,19831007,云南省,3000,山坡?南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982411.jpg,,,,,,,,,, +凹瓣梅花草,Parnassia mysorensis,"李渤生,程树志",673,19820905,西藏自治区,39~4300,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869729.jpg,,,,,,,,,, +棒状梅花草,Parnassia noemiae,郎楷永等,1334,19820828,四川省,2000~2250,山东南坡去五一棚途中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982408.jpg,,,,,,,,,, +棒状梅花草,Parnassia noemiae,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982406.jpg,,,,,,,,,, +细叉梅花草,Parnassia oreophila,段长虹,Dch0545,20140814,山西省,2089,林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039672.jpg,,,,,,,,,, +细叉梅花草,Parnassia oreophila,"石硕,祝东立,祝振清",SZ33959,20140812,河北省,1400,沟 水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031230.jpg,,,,,,,,,, +细叉梅花草,Parnassia oreophila,戴天伦,101807,19580811,重庆市,2300,生于草坪中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982458.jpg,,,,,,,,,, +梅花草,Parnassia palustris,"郭柯,郑度",12851,19900912,新疆维吾尔自治区,,山沟水溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099226.jpg,,,,,,,,,, +梅花草,Parnassia palustris,段长虹,Dch0458,20140728,山西省,1969,谷地溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039681.jpg,,,,,,,,,, +梅花草,Parnassia palustris,石硕,ZS3585,20140716,河北省,1830,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031438.jpg,,,,,,,,,, +类三脉梅花草,Parnassia pusilla,H.T.Tsai,58219,19340827,云南省,4000,top of Pi-lo-shan,,无花无果,https://image.cvh.ac.cn/files/l/PE/01982427.jpg,,,,,,,,,, +类三脉梅花草,Parnassia pusilla,青藏队,10231,19820809,西藏自治区,4100,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982413.jpg,,,,,,,,,, +青海梅花草,Parnassia qinghaiensis,不祥,578,19640723,青海省,4250,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/004003.jpg,,,,,,,,,, +白花梅花草,Parnassia scaposa,康藏植物考察队,10-1694,20100812,西藏自治区,3700,山谷岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873308.jpg,,,,,,,,,, +白花梅花草,Parnassia scaposa,康藏植物考察队,10-0991,20100731,青海省,4600,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873307.jpg,,,,,,,,,, +白花梅花草,Parnassia scaposa,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01842923.jpg,,,,,,,,,, +近凹瓣梅花草,Parnassia submysorensis,康藏植物考察队,10-2542,20100821,云南省,3310,云杉、桦树林缘灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873305.jpg,,,,,,,,,, +,Parnassia submysorensis,张挺,蔡杰,刘成等,09CS1449,20090723,云南,3382,,,,https://image.cvh.ac.cn/files/l/KUN/1237761.jpg,,,,,,,,,, +倒卵瓣梅花草,Parnassia subscaposa,T.T.Yu,9728,19370822,云南省,4200,mt grassy slope,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01842928.jpg,,,,,,,,,, +,Parnassia subscaposa,T. T. Yu,9728,1938,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00042878.jpg,,,,,,,,,, +青铜钱,Parnassia tenella,FLPH Tibet Expedition,12-1328,20120916,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966801.jpg,,,,,,,,,, +青铜钱,Parnassia tenella,康藏植物考察队,10-2869,20100826,云南省,3000,山谷林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873312.jpg,,,,,,,,,, +青铜钱,Parnassia tenella,,s.n,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00866632.jpg,,,,,,,,,, +三脉梅花草,Parnassia trinervis,植被调查队,3659,19730729,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982412.jpg,,,,,,,,,, +三脉梅花草,Parnassia trinervis,康藏植物考察队,10-2238,20100818,西藏自治区,4000~4100,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873311.jpg,,,,,,,,,, +娇媚梅花草,Parnassia venusta,Feng,6209,19400801,云南省,3800~4200,草坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050330.jpg,,,,,,,,,, +娇媚梅花草,Parnassia venusta,刘振书,940,19340000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01982440.jpg,,,,,,,,,, +绿花梅花草,Parnassia viridiflora,马成功等,223,19810719,陕西省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01533706.jpg,,,,,,,,,, +绿花梅花草,Parnassia viridiflora,T.T.Yu,9211,19370726,云南省,4000,Mt grassy land,,有花无果,https://image.cvh.ac.cn/files/l/PE/00866729.jpg,,,,,,,,,, +绿花梅花草,Parnassia viridiflora,,s.n,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00866728.jpg,,,,,,,,,, +鸡眼梅花草,Parnassia wightiana,青藏队,10112,19820908,西藏自治区,3500,沟中灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982476.jpg,,,,,,,,,, +鸡眼梅花草,Parnassia wightiana,青藏队,8740,19820726,云南省,3500,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982477.jpg,,,,,,,,,, +鸡眼梅花草,Parnassia wightiana,巴山采集队,5145,20110628,四川省,1500,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01872960.jpg,,,,,,,,,, +盐源梅花草,Parnassia yanyuanensis,青藏队,12269,19830722,四川省,4000,山坡岩石缝,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01842925.jpg,,,,,,,,,, +盐源梅花草,Parnassia yanyuanensis,C.W.Wang,68611,19350800,云南省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00337739.jpg,,,,,,,,,, +俞氏梅花草,Parnassia yui,T.T.Yu,20238,19370914,云南省,3000,under bamboo thickets,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01842926.jpg,,,,,,,,,, +俞氏梅花草,Parnassia yui,T.T. Yü ,20238,?0914,云南,3000,Under bamboo thickets,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1205238.jpg,,,,,,,,,, +玉龙山梅花草,Parnassia yulongshanensis,北京所横断山队,2207,19810728,云南省,4250,高山草甸上部草下偶见,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/01842919.jpg,,,,,,,,,, +长柄云南梅花草,Parnassia yunnanensis var. longistipitata,C.S.Liu,1028,19340806,四川省,3300,in grassland,annual herb,有花无果,https://image.cvh.ac.cn/files/l/PE/01842918.jpg,,,,,,,,,, +,Parochetus communis,PE西藏考察队,7782,20180624,西藏自治区,3105,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333791.jpg,,,,,,,,,, +,Parochetus communis,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B",583,20020826,云南省,2570,山地次生林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100791.jpg,,,,,,,,,, +裸茎条果芥,Parrya nudicaulis,青藏队,76-8030,19760615,西藏自治区,4300,岩悄坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01161455.jpg,,,,,,,,,, +裸茎条果芥,Parrya nudicaulis,A.Kazansky,3135,1929-07-,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0137377.jpg,,,,,,,,,, +羽裂条果芥,Parrya pinnatifida,关克俭,2654,19570806,新疆维吾尔自治区,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01998078.jpg,,,,,,,,,, +无毛条果芥,Parrya pinnatifida,青藏队,7496,19750906,西藏自治区,4850,河旁陡岩上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01161466.jpg,,,,,,,,,, +三叶地锦,Parthenocissus semicordata,PE西藏考察队,7913,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333146.jpg,,,,,,,,,, +三叶地锦,Parthenocissus semicordata,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B",113,20020812,云南省,2400,次生林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100803.jpg,,,,,,,,,, +三叶地锦,Parthenocissus semicordata,泛喜马拉雅植物志巴基斯坦采集队,1803,20120916,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005917.jpg,,,,,,,,,, +云南雀稗,Paspalum delavayi,王启无,84611,,云南省,,devastated field,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032092.jpg,,,,,,,,,, +云南雀稗,Paspalum delavayi,陇西山考察队,2149,19910916,福建省,1000~800,河谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/01554018.jpg,,,,,,,,,, +雀稗,Paspalum thunbergii,郭成勇,20061-444-4,20060913,山东省,300,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089018.jpg,,,,,,,,,, +雀稗,Paspalum thunbergii,钟明哲,2363,20080220,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088483.jpg,,,,,,,,,, +雀稗,Paspalum thunbergii,巴山采集队,3538,20100724,四川省,534,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066340.jpg,,,,,,,,,, +杯叶西番莲,Passiflora cupiformis,覃海宁等,3185,20020418,广西壮族自治区,1800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229984.jpg,,,,,,,,,, +杯叶西番莲,Passiflora cupiformis,俞德俊,3182,19340000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229981.jpg,,,,,,,,,, +镰叶西番莲,Passiflora wilsonii,"税玉民,陈文红等",70561,20060624,云南省,1950~2050,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229961.jpg,,,,,,,,,, +镰叶西番莲,Passiflora wilsonii,生态室高原组,11404,19800727,西藏自治区,1900,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01447167.jpg,,,,,,,,,, +墓回头,Patrinia heterophylla,黄河队,416,19540701,甘肃省,1400,山坡阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081892.jpg,,,,,,,,,, +墓回头,Patrinia heterophylla,郎学忠,215,19560831,内蒙古自治区,,沟底阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081582.jpg,,,,,,,,,, +墓回头,Patrinia heterophylla,李才贵,232,19840829,山西省,1600,山坡脚下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081530.jpg,,,,,,,,,, +中败酱,Patrinia intermedia,王忠涛等,134,20070623,新疆维吾尔自治区,2200,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232277.jpg,,,,,,,,,, +中败酱,Patrinia intermedia,,s.n.,19600702,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920978.jpg,,,,,,,,,, +少蕊败酱,Patrinia monandra,赵常明,EX1348,20070922,湖北省,720,阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244586.jpg,,,,,,,,,, +少蕊败酱,Patrinia monandra,植物所三峡考察队,111,20070915,重庆市,1310~1810,山坡林下沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244577.jpg,,,,,,,,,, +岩败酱,Patrinia rupestris,山西采集队,682,19560821,山西省,1500,南山坡 阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232269.jpg,,,,,,,,,, +岩败酱,Patrinia rupestris,,332,19550912,北京市,,草地山坡 北倾斜 半阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232267.jpg,,,,,,,,,, +,Patrinia scabiosifolia,赵常明,EX1371,20070923,湖北省,1350,阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244387.jpg,,,,,,,,,, +,Patrinia scabiosifolia,云台山采集队,1303,20090823,河南省,850~950,路边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02030733.jpg,,,,,,,,,, +,Patrinia scabiosifolia,孔冬梅,k0412,20140724,山西省,1578,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015883.jpg,,,,,,,,,, +秀苞败酱,Patrinia speciosa,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T163,20160915,西藏自治区,3602,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233408.jpg,,,,,,,,,, +秀苞败酱,Patrinia speciosa,,19735,19380807,,3700,Mt.slope open & sandy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01884935.jpg,,,,,,,,,, +秀苞败酱,Patrinia speciosa,T.T.Yu,20641,19381011,云南省,3400,Mt.slope open & grassy place,,无花有果,https://image.cvh.ac.cn/files/l/PE/01503346.jpg,,,,,,,,,, +龙头兰,Pecteilis susannae,北京队,896548,19890922,广西壮族自治区,,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989255.jpg,,,,,,,,,, +龙头兰,Pecteilis susannae,G.Forrest,28919,19300000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01720784.jpg,,,,,,,,,, +高额马先蒿,Pedicularis altifrontalis,"张经炜,王金亭",1208,19730822,西藏自治区,4550,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155802.jpg,,,,,,,,,, +,Pedicularis anas var. anas,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-127-B45,20190818,四川,3584,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274989.jpg,,,,,,,,,, +,Pedicularis anas var. anas,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-144-B27,20190824,西藏,4074,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274988.jpg,,,,,,,,,, +黄花鸭首马先蒿,Pedicularis anas var. xanthantha,李馨,72038,19570818,四川省,3250,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00094982.jpg,,,,,,,,,, +黄花鸭首马先蒿,Pedicularis anas var. xanthantha,郭友好,422,19770808,陕西省,0~3400,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0573741.jpg,,,,,,,,,, +黄花鸭首马先蒿,Pedicularis anas var. xanthantha,洮河队,3053,19570519,甘肃省,0~2310,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0573740.jpg,,,,,,,,,, +角盔马先蒿,Pedicularis angularis,Harry Smith,3868,19220722,四川省,4150,in prato herboso-fruticoso,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123496.jpg,,,,,,,,,, +角盔马先蒿,Pedicularis angularis,J.F.Rock,12620,19250707,甘肃省,4250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00094984.jpg,,,,,,,,,, +狭唇马先蒿,Pedicularis angustilabris,R.C.Ching,30453,19390725,云南省,,On open hillsice,,有花无果,https://image.cvh.ac.cn/files/l/PE/00094988.jpg,,,,,,,,,, +狭唇马先蒿,Pedicularis angustilabris,T.T.Yu,2320,19330715,四川省,3250,mt.slop grassy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00094986.jpg,,,,,,,,,, +狭裂马先蒿,Pedicularis angustiloba,"李渤生,程树志,倪志诚",5772,19830724,西藏自治区,4280~4400,山坡,灌丛中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155951.jpg,,,,,,,,,, +狭裂马先蒿,Pedicularis angustiloba,D.E.Boufford etc.,30934,20040720,四川省,4125~4160,Picea-Larix forest with gravelly openings and exposed ledges,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255368.jpg,,,,,,,,,, +奇异马先蒿,Pedicularis anomala,应俊生 洪德元,650814,19650730,西藏自治区,3200,灌丛中小路边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00094995.jpg,,,,,,,,,, +刺齿马先蒿,Pedicularis armata,北京所横断山队,3472,19810823,云南省,3900~4150,冷杉林上 草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486308.jpg,,,,,,,,,, +刺齿马先蒿,Pedicularis armata,赵清盛,178,19890730,四川省,3400,草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480729.jpg,,,,,,,,,, +刺齿马先蒿,Pedicularis armata,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00095006.jpg,,,,,,,,,, +深绿马先蒿,Pedicularis atroviridis,,5801,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00095071.jpg,,,,,,,,,, +,Pedicularis atroviridis,"Ludlow, Frank: Sherriff, George & Taylor, George",5801,9-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00284103.jpg,,,,,,,,,, +阿墩子马先蒿,Pedicularis atuntsiensis,F.Kingdon Ward,115,19110700,云南省,4667,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031443.jpg,,,,,,,,,, +,Pedicularis atuntsiensis,"Kingdon-Ward, Francis",115,11-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00198504.jpg,,,,,,,,,, +金黄马先蒿,Pedicularis aurata,"应俊生,洪德元",651165,19650815,西藏自治区,3900,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00095087.jpg,,,,,,,,,, +金黄马先蒿,Pedicularis aurata,rock,22367,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00095083.jpg,,,,,,,,,, +,Pedicularis aurata,"Handel-Mazzetti, Heinrich",9034,3-Jul-08,,,,,,https://image.cvh.ac.cn/files/l/E/E00284104.jpg,,,,,,,,,, +腋花马先蒿,Pedicularis axillaris,陈又生,6311,20060827,陕西省,1600,Grassy slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016156.jpg,,,,,,,,,, +腋花马先蒿,Pedicularis axillaris,"汤宗孝,柏正强,任文夫",875,19930809,四川省,3400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621547.jpg,,,,,,,,,, +腋花马先蒿,Pedicularis axillaris,D.E.Boufford et al.,35175,20060723,云南省,3780~3930,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579755.jpg,,,,,,,,,, +巴塘马先蒿,Pedicularis batangensis,洪德元等,H12063,20120903,四川省,3400,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917415.jpg,,,,,,,,,, +巴塘马先蒿,Pedicularis batangensis,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00095190.jpg,,,,,,,,,, +二齿马先蒿,Pedicularis bidentata,D.E.Boufford et al.,40421,20070823,甘肃省,3600~3620,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916254.jpg,,,,,,,,,, +二齿马先蒿,Pedicularis bidentata,D.E.Boufford et al.,39088,20070805,四川省,3570,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916114.jpg,,,,,,,,,, +皮氏马先蒿,Pedicularis bietii,北京所横断山队,2190,19810728,云南省,4100,高山草甸上部时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01486336.jpg,,,,,,,,,, +皮氏马先蒿,Pedicularis bietii,Mussot,294,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031440.jpg,,,,,,,,,, +,Pedicularis bifida,西藏中草药普查队,1056,19720813,西藏自治区,2300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155946.jpg,,,,,,,,,, +,Pedicularis bifida,"F.Ludlow,G.Sherriff,& J.H.Hicks",21018,19490813,,1900,mixed rain forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/00095238.jpg,,,,,,,,,, +双生马先蒿,Pedicularis binaria,Harry Smith,3207,19220810,四川省,4000,in prato alpino,,有花有果,https://image.cvh.ac.cn/files/l/PE/00095234.jpg,,,,,,,,,, +双生马先蒿,Pedicularis binaria,杨竟生,90-219,19900715,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0573781.jpg,,,,,,,,,, +波密马先蒿,Pedicularis bomiensis,D.E.Boufford et al.,40674,20090718,西藏自治区,3630,moist areas near stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885943.jpg,,,,,,,,,, +短盔马先蒿,Pedicularis brachycrania,青藏队,2571,19810711,云南省,4100,山坡荒丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155943.jpg,,,,,,,,,, +短盔马先蒿,Pedicularis brachycrania,Ward,9767,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031435.jpg,,,,,,,,,, +四川头花马先蒿,Pedicularis cephalantha var. szetchuanica,R.C.Ching,30543,19390819,云南省,,On open pasture,,有花有果,https://image.cvh.ac.cn/files/l/PE/00095306.jpg,,,,,,,,,, +四川头花马先蒿,Pedicularis cephalantha var. szetchuanica,T.T.Yu,6240,19370615,四川省,3450,side of basey field,,有花有果,https://image.cvh.ac.cn/files/l/PE/00095305.jpg,,,,,,,,,, +宽叶俯垂马先蒿,Pedicularis cernua subsp. latifolia,T.T.Yu,19784,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00095325.jpg,,,,,,,,,, +,Pedicularis cernua subsp. latifolia,"Yü, Tse-tsun",19784,8-Aug-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00284041.jpg,,,,,,,,,, +鹅首马先蒿,Pedicularis chenocephala,Harry Smith,3679,19220724,四川省,4300,in prato alpina,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123437.jpg,,,,,,,,,, +鹅首马先蒿,Pedicularis chenocephala,"张永田,郞楷永",216,19650701,西藏自治区,4000,山坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00095417.jpg,,,,,,,,,, +中国马先蒿,Pedicularis chinensis,"石硕,祝东立,祝振清",SZ3855,20140809,河北省,1580,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035741.jpg,,,,,,,,,, +中国马先蒿,Pedicularis chinensis,段长虹,Dch0537,20140812,山西省,1979,林缘河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014713.jpg,,,,,,,,,, +,Pedicularis chingii,"许炳强,周伟,郑朝汉",XiaNH0024,20080823,青海省,3901,河滩,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1384276.jpg,,,,,,,,,, +灰色马先蒿,Pedicularis cinerascens,Harry Smith,10629,19340724,四川省,4000,in prato alpino,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123443.jpg,,,,,,,,,, +灰色马先蒿,Pedicularis cinerascens,陈立同、田新民,Ljq07130,20070912,西藏自治区,2786,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00002864.jpg,,,,,,,,,, +灰色马先蒿,Pedicularis cinerascens,中草药调查组,203,19860720,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/135675.jpg,,,,,,,,,, +克氏马先蒿,Pedicularis clarkei,PE西藏队,PE5136,20170826,西藏自治区,4558,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330910.jpg,,,,,,,,,, +克氏马先蒿,Pedicularis clarkei,Lall Dhwoj,197,19300000,,4660~5333,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00095559.jpg,,,,,,,,,, +,Pedicularis comptoniifolia,"蔡杰,刘成,李昌洪",11CS3206,20110816,云南省,2945,松林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1383362.jpg,,,,,,,,,, +,Pedicularis comptoniifolia,"朱鑫鑫, 林庶, 胡梦杰",ZXX191166,20190909,云南,2443,亚热带针叶林,山坡林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1485748.jpg,,,,,,,,,, +干里马先蒿,Pedicularis comptoniifolia,蒋兴麐,36153,19530630,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00053414.jpg,,,,,,,,,, +,Pedicularis confertiflora subsp. confertiflora,"Forrest, George",10776,13-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00265808.jpg,,,,,,,,,, +,Pedicularis confertiflora subsp. confertiflora,胡君、李丽、罗垚、蒋洪,SC-a-169-B34,20190913,四川,3687,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262415.jpg,,,,,,,,,, +小叶聚花马先蒿,Pedicularis confertiflora subsp. parvifolia,J.F.Rock,5259,19220529,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00095658.jpg,,,,,,,,,, +小叶聚花马先蒿,Pedicularis confertiflora subsp. parvifolia,H.-M.,3874,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00033136.jpg,,,,,,,,,, +粉红花连叶马先蒿,Pedicularis connata,张灿明,89085,19890714,云南省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002960.jpg,,,,,,,,,, +,Pedicularis connata,"Rock, Joseph Francis Charles",16742,1928,,,,,,https://image.cvh.ac.cn/files/l/E/E00091796.jpg,,,,,,,,,, +连叶马先蒿,Pedicularis connata,邓姣姣、卫靜丽、刘常坤,LDW-39-V-041,20200921,四川,4045.45m,山坡灌丛,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02063229.jpg,,,,,,,,,, +拟紫堇马先蒿,Pedicularis corydaloides,"吴征镒,陈书坤,庐树林",75-1092,19750719,西藏自治区,3500,林缘灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00095923.jpg,,,,,,,,,, +拟紫堇马先蒿,Pedicularis corydaloides,俞德浚,8973,19370714,云南省,4000,under woods,,有花无果,https://image.cvh.ac.cn/files/l/KUN/475352.jpg,,,,,,,,,, +伞房马先蒿,Pedicularis corymbifera,"李渤生,倪志诚,程树志",6704,19830819,西藏自治区,3150,Tsuga林缘 灌丛中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01190027.jpg,,,,,,,,,, +伞房马先蒿,Pedicularis corymbifera,陈晓澄等,5911,20140805,西藏,4295,灌林山顶,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00020585.jpg,,,,,,,,,, +,Pedicularis cranolopha var. cranolopha,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-119-B41,20190815,四川,4201,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0275011.jpg,,,,,,,,,, +格氏凸额马先蒿,Pedicularis cranolopha var. garnieri,生物所,9662,19750823,四川省,0~2600,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0573867.jpg,,,,,,,,,, +格氏凸额马先蒿,Pedicularis cranolopha var. garnieri,张灿明,89056,19890724,云南省,4150,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002961.jpg,,,,,,,,,, +长角凸额马先蒿,Pedicularis cranolopha var. longicornuta,"郎楷永,李良千,费勇",2996,19830807,四川省,31~3200,"云杉林缘,沟边",,有花无果,https://image.cvh.ac.cn/files/l/PE/00155939.jpg,,,,,,,,,, +长角凸额马先蒿,Pedicularis cranolopha var. longicornuta,K.T.Fu,1395,19370725,甘肃省,3400,on hill slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00095803.jpg,,,,,,,,,, +缘毛马先蒿,Pedicularis craspedotricha,Harry Smith,3813,19220720,四川省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123445.jpg,,,,,,,,,, +缘毛马先蒿,Pedicularis craspedotricha,王作宾,14529,1951/7/22,甘肃,3400,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0048960.jpg,,,,,,,,,, +缘毛马先蒿,Pedicularis craspedotricha,余岩、李娟,2022697,20200718,四川,4497,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02022697.jpg,,,,,,,,,, +波齿马先蒿全裂亚种,Pedicularis crenata subsp. crenatiformis,,21010,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0058714.jpg,,,,,,,,,, +,Pedicularis crenata subsp. crenatiformis,"Rock, J.F.",6318,22-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00438447.jpg,,,,,,,,,, +细波齿马先蒿,Pedicularis crenularis,G.Forrest.,7217,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055429.jpg,,,,,,,,,, +细波齿马先蒿,Pedicularis crenularis,刘慎谔,21041,19461003,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0573878.jpg,,,,,,,,,, +具冠马先蒿,Pedicularis cristatella,D.E.Boufford et al.,38423,20070728,四川省,2900~3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916120.jpg,,,,,,,,,, +具冠马先蒿,Pedicularis cristatella,白龙江考察队,443,19980720,甘肃省,2000,山地 山坡 灌丛 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560736.jpg,,,,,,,,,, +克洛氏马先蒿,Pedicularis croizatiana,D.E.Boufford et al.,35504,20060730,四川省,3440,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579862.jpg,,,,,,,,,, +克洛氏马先蒿,Pedicularis croizatiana,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01493125.jpg,,,,,,,,,, +克洛氏马先蒿,Pedicularis croizatiana,"李渤生,倪志诚,程树志",7277,19830902,西藏自治区,3800,山坡 湿地 时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190029.jpg,,,,,,,,,, +斗叶马先蒿,Pedicularis cyathophylla,杨福生,s.n.,20090815,四川省,4195,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053341.jpg,,,,,,,,,, +斗叶马先蒿,Pedicularis cyathophylla,,H-20,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01377201.jpg,,,,,,,,,, +拟斗叶马先蒿,Pedicularis cyathophylloides,D.E.Boufford et al.,41478,20090731,西藏自治区,3600,on slope and at base of cliffs along road,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885952.jpg,,,,,,,,,, +拟斗叶马先蒿,Pedicularis cyathophylloides,贾慎修,218,19510907,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00095993.jpg,,,,,,,,,, +环喙马先蒿,Pedicularis cyclorhyncha,R.C.Ching,20951,19390629,云南省,,on open mcist pasture,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031362.jpg,,,,,,,,,, +环喙马先蒿,Pedicularis cyclorhyncha,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,354,20120730,西藏,,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230379.jpg,,,,,,,,,, +,Pedicularis cyclorhyncha,R. C. Ching,20951,1939/6/29,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00303999.jpg,,,,,,,,,, +舟形马先蒿,Pedicularis cymbalaria,北京所横断山队,3205,19810818,云南省,,高山灌丛 草甸中常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486331.jpg,,,,,,,,,, +舟形马先蒿,Pedicularis cymbalaria,青藏队,13691,19830908,四川省,3900,"山坡,灌丛,草地",,有花无果,https://image.cvh.ac.cn/files/l/PE/00155827.jpg,,,,,,,,,, +道氏马先蒿,Pedicularis daltonii,钟补求,5775,19530721,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00236488.jpg,,,,,,,,,, +道氏马先蒿,Pedicularis daltonii,付筱,雷嘉卿,周雨阳,LJQ-B-11-19,20210531,四川,2451,路边,阴生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02066827.jpg,,,,,,,,,, +胡萝卜叶马先蒿,Pedicularis daucifolia,管中天,130454,19600504,四川省,3450,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00118156.jpg,,,,,,,,,, +胡萝卜叶马先蒿,Pedicularis daucifolia,"T.N.Ho(HNWP),B.Bartholomew(CAS),M.Watson(E)and M.G",1995,19960818,青海省,3700,Growing in deep shade under picea.,,有花有果,https://image.cvh.ac.cn/files/l/PE/00118155.jpg,,,,,,,,,, +,Pedicularis davidii var. davidii,"刘成, 张挺, 吴之坤",17CS15848,20170615,重庆,2378,山坡林缘,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444513.jpg,,,,,,,,,, +大卫氏马先蒿(原变种),Pedicularis davidii var. davidii,张挺,刘成,姜虹,李昌洪,19CS18290,20190713,四川,3255,林缘开阔地灌草从,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506336.jpg,,,,,,,,,, +五齿大卫氏马先蒿,Pedicularis davidii var. pentodon,杨福生,2098,20000819,四川省,4300,阴山、高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00135601.jpg,,,,,,,,,, +五齿大卫氏马先蒿,Pedicularis davidii var. pentodon,F.T.Wang,21503,1930/6/29,四川,4100,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0048055.jpg,,,,,,,,,, +极弱弱小马先蒿,Pedicularis debilis subsp. debilior,T.T.Yu,12446,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031364.jpg,,,,,,,,,, +弱小马先蒿,Pedicularis debilis subsp. debilis,俞德浚,12653,19370806,云南省,3600,草坡,,有花有果,https://image.cvh.ac.cn/files/l/KUN/475094.jpg,,,,,,,,,, +美观马先蒿,Pedicularis decora,,407,19640717,青海省,3700,山地阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082632.jpg,,,,,,,,,, +美观马先蒿,Pedicularis decora,白龙江考察队,547,19980721,甘肃省,2800,山地 山坡 灌丛 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560728.jpg,,,,,,,,,, +美观马先蒿,Pedicularis decora,Ying Tsun-Shen et al.,466,19870808,陕西省,3200,In thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01536803.jpg,,,,,,,,,, +极丽马先蒿,Pedicularis decorissima,D.E.Boufford et al.,39253,20070807,四川省,3720~4100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916107.jpg,,,,,,,,,, +极丽马先蒿,Pedicularis decorissima,Smith,12132,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01493123.jpg,,,,,,,,,, +三角叶马先蒿,Pedicularis deltoidea,H.T.Tsai,58575,19340914,云南省,3200,alpine meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/00118219.jpg,,,,,,,,,, +三角叶马先蒿,Pedicularis deltoidea,T.T.Yu,1302,19320810,四川省,3100~3300,alpine measow,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118209.jpg,,,,,,,,,, +德钦马先蒿,Pedicularis deqinensis,王启无,70346,19350900,云南省,2700,Ravine,,有花有果,https://image.cvh.ac.cn/files/l/PE/00118376.jpg,,,,,,,,,, +二歧马先蒿,Pedicularis dichotoma,谢磊,2016,20030827,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621549.jpg,,,,,,,,,, +二歧马先蒿,Pedicularis dichotoma,D.E.Boufford et al.,35567,20060801,四川省,3310,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579549.jpg,,,,,,,,,, +二歧马先蒿,Pedicularis dichotoma,青藏队,5221,19810831,西藏自治区,2700,河岸山坡Pertya灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118401.jpg,,,,,,,,,, +重头马先蒿,Pedicularis dichrocephala,F.T.Wang,22919,19310526,四川省,2200~2350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118415.jpg,,,,,,,,,, +重头马先蒿,Pedicularis dichrocephala,邱炳云,54838,19570822,云南省,2380,山坡旁沟溪边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00118402.jpg,,,,,,,,,, +,Pedicularis dichrocephala,"Handel-Mazzetti, Heinrich",4521,7-Aug-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00438421.jpg,,,,,,,,,, +细裂叶马先蒿,Pedicularis dissectifolia,青藏队,12342,19830723,四川省,4000,山坡灌草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155956.jpg,,,,,,,,,, +细裂叶马先蒿,Pedicularis dissectifolia,T.T.Yu,6866,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031374.jpg,,,,,,,,,, +,Pedicularis dissectifolia,T. T. Yu,6866,1938,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00097216.jpg,,,,,,,,,, +长舟马先蒿,Pedicularis dolichocymba,北京所横断山队,2842,19810810,云南省,3700~4100,冷杉林下 及流石滩斑状灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486385.jpg,,,,,,,,,, +长舟马先蒿,Pedicularis dolichocymba,George Forrest,22148,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118438.jpg,,,,,,,,,, +长舌马先蒿,Pedicularis dolichoglossa,青藏队,12364,19830723,四川省,4200,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118444.jpg,,,,,,,,,, +长舌马先蒿,Pedicularis dolichoglossa,T.T.Yu,6924,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031375.jpg,,,,,,,,,, +长舌马先蒿,Pedicularis dolichoglossa,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075690.jpg,,,,,,,,,, +长根马先蒿,Pedicularis dolichorrhiza,"张新时,郭柯",天-075,19860730,新疆维吾尔自治区,2880,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480805.jpg,,,,,,,,,, +长根马先蒿,Pedicularis dolichorrhiza,,770064,19770623,,2300,混交林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480803.jpg,,,,,,,,,, +长穗马先蒿,Pedicularis dolichostachya,杨竞生,84-689,19840724,云南省,4350,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1267920.jpg,,,,,,,,,, +长穗马先蒿,Pedicularis dolichostachya,"刘成, 张挺, 吴之坤",17CS15839,20170615,重庆,2463,山坡林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1444517.jpg,,,,,,,,,, +,Pedicularis dolichostachya,T. K. Wang & T. S. Wen,648,Aug-38,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00097218.jpg,,,,,,,,,, +杜氏马先蒿,Pedicularis duclouxii,青藏队,14515,19830907,四川省,3800,Abies林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00155858.jpg,,,,,,,,,, +杜氏马先蒿,Pedicularis duclouxii,T.T.Yu,9534,19370811,云南省,3650,mt grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00118476.jpg,,,,,,,,,, +杜氏马先蒿,Pedicularis duclouxii,C.W.Wang,66248,19350900,西藏自治区,3400,Under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/00118469.jpg,,,,,,,,,, +独龙马先蒿,Pedicularis dulongensis,青藏队,82-8506,19820724,云南省,3600,山坡湿润草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00031479.jpg,,,,,,,,,, +邓氏马先蒿,Pedicularis dunniana,方文培,4295,19280821,四川省,,On grassy slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00118486.jpg,,,,,,,,,, +邓氏马先蒿,Pedicularis dunniana,秦仁昌,23451,19290731,云南省,,草坝,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118485.jpg,,,,,,,,,, +爱氏马先蒿,Pedicularis elliotii,北京所横断山队,3776,19810825,云南省,3600~3900,冷杉林内时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486345.jpg,,,,,,,,,, +爱氏马先蒿,Pedicularis elliotii,"F.Ludlow,G.Sherriff & H.H.Elliot",15242,19470616,西藏自治区,4000,by side of a river in a damp place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031459.jpg,,,,,,,,,, +卓越马先蒿,Pedicularis excelsa,青藏队补点组,751848,19750909,西藏自治区,3200,林下沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00118582.jpg,,,,,,,,,, +卓越马先蒿,Pedicularis excelsa,"勒,休",20832,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031288.jpg,,,,,,,,,, +帚状马先蒿,Pedicularis fastigiata,青藏队横断山队,1154,19810616,云南省,3350,河滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190030.jpg,,,,,,,,,, +帚状马先蒿,Pedicularis fastigiata,王清泉,20285,19790630,四川省,0~3800,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574068.jpg,,,,,,,,,, +国楣马先蒿,Pedicularis fengii,北京所横断山队,2823,19810810,云南省,3700~3900,冷杉林下常见草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486347.jpg,,,,,,,,,, +国楣马先蒿,Pedicularis fengii,青藏队,13055,19830819,四川省,,山坡Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155874.jpg,,,,,,,,,, +拟蕨马先蒿拟蕨变种,Pedicularis filicula var. filicula,和光,马剑,D-018,20040708,云南省,4445,杜鹃灌丛,禾草植被,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002940.jpg,,,,,,,,,, +木里拟蕨马先蒿,Pedicularis filicula var. saganaica,李馨,71678,19570623,四川省,0~4200,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574083.jpg,,,,,,,,,, +,Pedicularis filiculiformis,"Ludlow,Sherriff & Hicks",20380,19490620,,4833,大石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031289.jpg,,,,,,,,,, +假拟蕨马先蒿,Pedicularis filiculiformis,"F.Ludlow,G.Sherriff",2197,19360722,西藏自治区,4833,on open damp stony hillside,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031455.jpg,,,,,,,,,, +假拟蕨马先蒿,Pedicularis filiculiformis,云大,295,19560709,云南省,0~3900,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574084.jpg,,,,,,,,,, +软弱马先蒿,Pedicularis flaccida,Pratt,471,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031454.jpg,,,,,,,,,, +软弱马先蒿,Pedicularis flaccida,王清泉,20371,1979-7 7,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0127139.jpg,,,,,,,,,, +阜莱氏马先蒿,Pedicularis fletcheri,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0494,20130806,西藏自治区,,灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993115.jpg,,,,,,,,,, +阜莱氏马先蒿,Pedicularis fletcheri,"F.Ludlow,G.Sherriff,& J.H.Hicks",21312,19490721,,2667,In open moist places.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118639.jpg,,,,,,,,,, +曲茎马先蒿,Pedicularis flexuosa,,323,19590617,西藏自治区,3550,石隙,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118642.jpg,,,,,,,,,, +,Pedicularis flexuosa,L.Dhevoj,97,19280000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031453.jpg,,,,,,,,,, +多花马先蒿,Pedicularis floribunda,管中天,41-0720,19600730,四川省,3080,山坡下部 山麓蔷薇灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118805.jpg,,,,,,,,,, +福氏马先蒿,Pedicularis forrestiana,G.Forrest,10360,19130700,云南省,4000~4333,Stony alpine pasture on the mountains .,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118668.jpg,,,,,,,,,, +马先蒿,Pedicularis forrestiana,,,,贵州,,,,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0075472.jpg,,,,,,,,,, +,Pedicularis forrestiana,"Forrest, George",2703,6-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00399299.jpg,,,,,,,,,, +草莓状马先蒿,Pedicularis fragarioides,D.E.Boufford et al.,32691,20050709,四川省,3800~4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916082.jpg,,,,,,,,,, +草莓状马先蒿,Pedicularis fragarioides,郭本兆 王为义,25239,19810611,青海省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/98746.jpg,,,,,,,,,, +佛氏马先蒿,Pedicularis franchetiana,"姜恕,金存礼等",2572,19590801,四川省,4272,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118671.jpg,,,,,,,,,, +,Pedicularis franchetiana,王乾、顾健,SCW1224,20190811,四川,4500,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0266872.jpg,,,,,,,,,, +糠秕马先蒿,Pedicularis furfuracea,青藏队植被组,4429,19750629,西藏自治区,28~3000,阴坡Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155878.jpg,,,,,,,,,, +糠秕马先蒿,Pedicularis furfuracea,"F.Ludlow,G.Sherriff,& J.H.Hicks",16506,19490611,,3667,Growing on shady banks in abies forest.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118685.jpg,,,,,,,,,, +显盔马先蒿,Pedicularis galeata,T.T.Yu,19886,19380811,云南省,3900,Margin of thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118691.jpg,,,,,,,,,, +显盔马先蒿,Pedicularis galeata,J.F.Rock,23113,19320600,云南省 ,0~4270,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574100.jpg,,,,,,,,,, +地管马先蒿,Pedicularis geosiphon,"郎楷永,李良千,费勇",1689,19830608,四川省,23~2700,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155901.jpg,,,,,,,,,, +地管马先蒿,Pedicularis geosiphon,王作宾,14336,19510714,甘肃省,3500,林内阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118697.jpg,,,,,,,,,, +退毛马先蒿,Pedicularis glabrescens,青藏队,3404,19810807,四川省,3700,山沟黄栎林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155900.jpg,,,,,,,,,, +退毛马先蒿,Pedicularis glabrescens,青藏队,2771,19810714,云南省,4200~4300,高山杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155894.jpg,,,,,,,,,, +球花马先蒿,Pedicularis globifera,PE西藏队,PE5237,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330924.jpg,,,,,,,,,, +球花马先蒿,Pedicularis globifera,郭柯,K-178,19900806,青海省,4840,北坡山地,高寒草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099565.jpg,,,,,,,,,, +贡山马蒿,Pedicularis gongshanensis,青藏队,82-8458,19820722,云南省,3600,山坡灌丛草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00031473.jpg,,,,,,,,,, +细瘦马先蒿,Pedicularis gracilicaulis,T.T.Yu,19701,19380806,云南省,3300,mt.slpoe open & grassy place,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00033140.jpg,,,,,,,,,, +,Pedicularis gracilicaulis,C. W. Wang,64788,Aug-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00097224.jpg,,,,,,,,,, +,Pedicularis gruina subsp. gruina,王汉臣,1199,19410800,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00118965.jpg,,,,,,,,,, +,Pedicularis gruina subsp. gruina,T.T.Yu,1734,19321018,四川省,2800,side of rice field.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118938.jpg,,,,,,,,,, +多毛鹤首马先蒿,Pedicularis gruina subsp. pilosa,青藏队,14999,19831015,云南省,2500,山坡云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155890.jpg,,,,,,,,,, +多毛鹤首马先蒿,Pedicularis gruina subsp. pilosa,胡文光,35413,19530901,四川省,2500,荒林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118983.jpg,,,,,,,,,, +多叶鹤首马先蒿,Pedicularis gruina subsp. polyphylla,H.T.Tsai,52994,19330719,云南省,2800,in ravine,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118972.jpg,,,,,,,,,, +多叶鹤首马先蒿,Pedicularis gruina subsp. polyphylla,俞德俊,9302,19370730,云南省 ,0~4150,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574180.jpg,,,,,,,,,, +吉隆马先蒿,Pedicularis gyirongensis,"李渤生,李辉,阳艺",13368,19900901,西藏自治区,2400~3100,乔松林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196441.jpg,,,,,,,,,, +吉隆马先蒿,Pedicularis gyirongensis,"张挺, 刘成, 亚吉东",18CS17665,20180915,西藏,2278,乔松林缘路边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486551.jpg,,,,,,,,,, +旋喙马先蒿,Pedicularis gyrorhyncha,北京植物所横断山队,1699,19810719,云南省,3600,山脊亚高山草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486355.jpg,,,,,,,,,, +多羽片哈巴山马先蒿,Pedicularis habachanensis subsp. multipinnata,T.T.Yu,11632,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033146.jpg,,,,,,,,,, +汉姆氏马先蒿,Pedicularis hemsleyana,朱水法,20385,19590919,四川省,2800,灰化土铁杉林 山下部近沟处 林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00119017.jpg,,,,,,,,,, +汉姆氏马先蒿,Pedicularis hemsleyana,冯国楣,5257,19400710,云南省,3700~3600,草坡上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/474074.jpg,,,,,,,,,, +汉姆氏马先蒿,Pedicularis hemsleyana,彭玉兰、郑臣臣、张君议,THP-KD-3608,20170718,四川,3507,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255903.jpg,,,,,,,,,, +粗毛马先蒿,Pedicularis hirtella,秦仁昌,24402,19290907,云南省,2800,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00119091.jpg,,,,,,,,,, +粗毛马先蒿,Pedicularis hirtella,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191295,20190916,云南,3135,亚热带针叶林,草地上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1485263.jpg,,,,,,,,,, +矮马先蒿,Pedicularis humilis,G.Forrest,11969,19130000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00119102.jpg,,,,,,,,,, +矮马先蒿,Pedicularis humilis,蒋兴麏,36483,19530804,四川省,0~3780,,草本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0574284.jpg,,,,,,,,,, +不等裂马先蒿,Pedicularis inaequilobata,青藏队,3940,19810809,四川省,3900~4000,山沟内林间草地或灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00170069.jpg,,,,,,,,,, +不等裂马先蒿,Pedicularis inaequilobata,T.T.Yu,12689,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031371.jpg,,,,,,,,,, +孱弱马先蒿,Pedicularis infirma,T.T.Yu,20060,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033108.jpg,,,,,,,,,, +孱弱马先蒿,Pedicularis infirma,J.F.Rock,24842,19320600,云南省 ,0~4270,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574285.jpg,,,,,,,,,, +硕大马先蒿,Pedicularis ingens,D.E.Boufford et al.,36165,20060809,四川省,4200~4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579815.jpg,,,,,,,,,, +硕大马先蒿,Pedicularis ingens,,479,19640809,青海省,4200,山前缓坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01493243.jpg,,,,,,,,,, +显著马先蒿,Pedicularis insignis,北京所横断山队,3551,19810823,云南省,4150~4300,高山 灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486383.jpg,,,,,,,,,, +显着马先蒿,Pedicularis insignis,周洪富、粟和毅,107815,19640425,四川省,0~1200,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574292.jpg,,,,,,,,,, +,Pedicularis insignis,"陈家辉,韩希,王广艳等",YangYP-Q-4155,20110903,西藏自治区,4093,草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1383597.jpg,,,,,,,,,, +全叶马先蒿全叶亚种,Pedicularis integrifolia subsp. integrifolia,D.E.Boufford etc.,31732,20040804,西藏自治区,4325~4435,Kobresia-Bistorta meadows and adjacent dwarf Rhododendron-Salix on slopes,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255344.jpg,,,,,,,,,, +全缘叶马先蒿,Pedicularis integrifolia subsp. integrifolia,俞德浚,12957,0,四川省,3100,margin of woods,,有花无果,https://image.cvh.ac.cn/files/l/KUN/475160.jpg,,,,,,,,,, +康定马先蒿,Pedicularis kangtingensis,Harry Smith,10664,19340722,四川省,3600,in prato alpino,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123470.jpg,,,,,,,,,, +康定马先蒿,Pedicularis kangtingensis,王启无,70948,19360000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574300.jpg,,,,,,,,,, +康定马先蒿,Pedicularis kangtingensis,岳俊三,3667,19630822,江西省,1600,,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00236616.jpg,,,,,,,,,, +甘肃马先蒿白花变型,Pedicularis kansuensis subsp. kansuensis,陈世龙、高庆波、张发起等,Chensl-1390,20110801,青海省,4460,干旱阴坡,直立草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00016061.jpg,,,,,,,,,, +甘肃马先蒿白花变型,Pedicularis kansuensis subsp. kansuensis,陈晓澄等,4178,20130809,青海,3650,高山草甸沼泽,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019641.jpg,,,,,,,,,, +甘肃马先蒿白花变型,Pedicularis kansuensis subsp. kansuensis,郭先林、任婷,2037665,20200712,四川,4654,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02037665.jpg,,,,,,,,,, +雅江甘肃马先蒿,Pedicularis kansuensis subsp. yargongensis,G.Forrest,11160,19130900,云南省,3000,Open pasture.,,有花有果,https://image.cvh.ac.cn/files/l/PE/00119391.jpg,,,,,,,,,, +雅江甘肃马先蒿,Pedicularis kansuensis subsp. yargongensis,,1181,19340000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00119390.jpg,,,,,,,,,, +雅江甘肃马先蒿,Pedicularis kansuensis subsp. yargongensis,"何兴金, 胡灏禹, 陈德友, 魏先芹",SCU-09-364,20090825,四川,,湿地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1383697.jpg,,,,,,,,,, +卡里马先蒿,Pedicularis kariensis,G.Forrest,13070,19140800,云南省,4333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033102.jpg,,,,,,,,,, +卡里马先蒿,Pedicularis kariensis,藏药队,1043,19720723,青海省,3610,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0230791.jpg,,,,,,,,,, +卡里马先蒿,Pedicularis kariensis,吴玉虎,27517,20040525,甘肃省,1805,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0208018.jpg,,,,,,,,,, +甲拉马先蒿,Pedicularis kialensis,第八森林经理大队,4122,19580723,四川省,3300,河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00119411.jpg,,,,,,,,,, +甲拉马先蒿,Pedicularis kialensis,Soulii,2857,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033101.jpg,,,,,,,,,, +拉氏马先蒿,Pedicularis labordei,"H.Li,S.X.Yang,R.Li etc.",352,20020816,云南省,2450,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110674.jpg,,,,,,,,,, +拉氏马先蒿,Pedicularis labordei,汤宗孝,1295,19830702,四川省,3850,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00869808.jpg,,,,,,,,,, +拉氏马先蒿,Pedicularis labordei,毕节队,773,19590805,贵州省,2000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00135341.jpg,,,,,,,,,, +绒舌马先蒿,Pedicularis lachnoglossa,PE西藏队,PE5164,20170826,西藏自治区,4346,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330915.jpg,,,,,,,,,, +绒舌马先蒿,Pedicularis lachnoglossa,,548,19640720,青海省,4300,山坡-山顶草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082638.jpg,,,,,,,,,, +绒舌马先蒿,Pedicularis lachnoglossa,D.E.Boufford et al.,38108,20070724,四川省,4165~4315,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01916118.jpg,,,,,,,,,, +元宝草马先蒿,Pedicularis lamioides,C.W.Wang,64871,19350700,云南省,3000,Grassy meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/00119603.jpg,,,,,,,,,, +元宝草马先蒿,Pedicularis lamioides,,9912,19160815,云南省 ,0~3825,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574350.jpg,,,,,,,,,, +兰坪马先蒿,Pedicularis lanpingensis,北京所横断山队,778,19810622,云南省,3800,高山草甸中常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/00119614.jpg,,,,,,,,,, +毛背毛颏马先蒿,Pedicularis lasiophrys var. sinica,"郎楷永,李良千,费勇",1116,19820818,四川省,3800~4000,巴郎山东南坡高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155911.jpg,,,,,,,,,, +毛背毛颏马先蒿,Pedicularis lasiophrys var. sinica,J.F.Rock.,12850,19250700,甘肃省,3167,meadows back of Adjuan.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00119653.jpg,,,,,,,,,, +宽喙马先蒿,Pedicularis latirostris,K.T.Fu,1371,19370722,甘肃省,3800,on wet place or among weeds,,有花无果,https://image.cvh.ac.cn/files/l/PE/00119658.jpg,,,,,,,,,, +宽喙马先蒿,Pedicularis latirostris,李馨,72067,19570819,四川省,0~3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574368.jpg,,,,,,,,,, +宽喙马先蒿,Pedicularis latirostris,林有润,80-149,19800907,青海省,0~3200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574371.jpg,,,,,,,,,, +粗管马先蒿,Pedicularis latituba,"郎楷永,李良千,费勇",2747,19830805,四川省,4400,卡子拉山 丫口高山 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190031.jpg,,,,,,,,,, +粗管马先蒿,Pedicularis latituba,F.Ludlow et al.,15542,19470803,西藏自治区,4500,On moist rocks.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00119665.jpg,,,,,,,,,, +疏穗马先蒿,Pedicularis laxispica,青藏队,3684,19810803,四川省,3800~4100,附近冷杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155915.jpg,,,,,,,,,, +疏穗马先蒿,Pedicularis laxispica,T.T.Yu,11865,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00119681.jpg,,,,,,,,,, +勒公氏马先蒿,Pedicularis lecomtei,R.P.Delavay,3755,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033122.jpg,,,,,,,,,, +勒公氏马先蒿,Pedicularis lecomtei,青藏队,5770,19750620,西藏自治区,4100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/48863.jpg,,,,,,,,,, +,Pedicularis lecomtei,彭玉兰、涂卫国、幸福,Gaoxf0005,20080713,四川,4299,高山草矮灌丛甸,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0205080.jpg,,,,,,,,,, +纤管马先蒿,Pedicularis leptosiphon,青藏队横断山队,4089,19810815,四川省,4300,山沟内灌丛草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190032.jpg,,,,,,,,,, +纤管马先蒿,Pedicularis leptosiphon,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191352,20190918,云南,3283,亚热带,草地上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483635.jpg,,,,,,,,,, +纤管马先蒿,Pedicularis leptosiphon,青藏队 吴玉虎,870548,19870709,新疆维吾尔自治区,3500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/144372.jpg,,,,,,,,,, +美丽丽江马先蒿,Pedicularis likiangensis subsp. pulchra,K.M.Feng,6125,19400801,云南省,4100,草坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00033120.jpg,,,,,,,,,, +条纹马先蒿,Pedicularis lineata,"D.E.Boufford,K.Fujikawa,S.L.Kelley,R.H.Ree etc.",38509,20070728,四川省,3350~3400,moist remnant forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037084.jpg,,,,,,,,,, +条纹马先蒿,Pedicularis lineata,白水江考察队,430,20060627,甘肃省,2350~2550,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612488.jpg,,,,,,,,,, +条纹马先蒿,Pedicularis lineata,马成功等,243,19810719,陕西省,3140,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01535204.jpg,,,,,,,,,, +凌氏马先蒿,Pedicularis lingelsheimiana,青藏队,3898,19810806,四川省,4700,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00119742.jpg,,,,,,,,,, +凌氏马先蒿,Pedicularis lingelsheimiana,邓姣姣、卫靜丽、刘常坤,LDW-47-V-006,20200925,四川,3261.55m,山坡草地,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02061260.jpg,,,,,,,,,, +长萼马先蒿,Pedicularis longicalyx,"李渤生,程树志",6092,19830804,西藏自治区,4700,高山 沼泽草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190034.jpg,,,,,,,,,, +长梗马先蒿,Pedicularis longipes,D.E.Boufford et al.,39849,20070816,四川省,3975,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916070.jpg,,,,,,,,,, +,Pedicularis longipes,吴中伦,32727,19580707,四川,3600,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00034921.jpg,,,,,,,,,, +长把马先蒿,Pedicularis longistipitata,"T.N.Ho,B,Bartholonew,M,Watson and M.Gilbert.",2040,19960818,青海省,3700,Under trees and shrubs.,,无花有果,https://image.cvh.ac.cn/files/l/PE/00134003.jpg,,,,,,,,,, +长把马先蒿,Pedicularis longistipitata,青藏科考队,12433,19760722,西藏自治区,3600,水沟边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134002.jpg,,,,,,,,,, +盔须马先蒿,Pedicularis lophotricha,D.E.Boufford et al.,42353,20100727,四川省,4350~4615,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916132.jpg,,,,,,,,,, +盔须马先蒿,Pedicularis lophotricha,G.Forrest,28631,19300000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00134005.jpg,,,,,,,,,, +短叶浅黄马先蒿,Pedicularis lutescens subsp. brevifolia,T.T.Yu,7570,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134028.jpg,,,,,,,,,, +短叶浅黄马先蒿,Pedicularis lutescens subsp. brevifolia,俞德浚,7570,19370803,四川省,2800,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/474866.jpg,,,,,,,,,, +,Pedicularis lutescens subsp. lutescens,H.T.Tsai,58015,19340818,云南省,4000,Pi-lo-shan,,有花有果,https://image.cvh.ac.cn/files/l/PE/00134034.jpg,,,,,,,,,, +琴盔马先蒿,Pedicularis lyrata,PE西藏队,PE5166,20170826,西藏自治区,4346,灌层下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330916.jpg,,,,,,,,,, +琴盔马先蒿,Pedicularis lyrata,管中天,110263,19600419,四川省,3200,灌木冷杉林(幼林),,有花无果,https://image.cvh.ac.cn/files/l/PE/00134068.jpg,,,,,,,,,, +琴盔马先蒿,Pedicularis lyrata,"Ho Tingnung,Bruce Bartholomew & Mike Gilbert",390,19930727,青海省,3850,On more open terracing.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134061.jpg,,,,,,,,,, +瘠瘦马先蒿,Pedicularis macilenta,青藏队,12720,19830807,四川省,3500~3600,姻昵木尼得灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00170217.jpg,,,,,,,,,, +长喙马先蒿,Pedicularis macrorhyncha,J.F.Rock,25092,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134092.jpg,,,,,,,,,, +,Pedicularis macrorhyncha,"陈家辉,刘亚辉,周妍,赵艳丽,吴志刚,熊力军",YangYP-Q-2307,20090923,四川省,3728,高山草原,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1383859.jpg,,,,,,,,,, +,Pedicularis macrorhyncha,"张廷,蔡杰,袁明,刘恩德,刘成,郭永杰",09CS1513,20090922,西藏自治区,3025,山坡开阔草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1383860.jpg,,,,,,,,,, +大管马先蒿,Pedicularis macrosiphon,"D.E.Boufford,S.Cristoph,C.Davidson etc.",43664,20140510,四川省,2465,remnant forest trees grassy areas in open at base of steep slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037188.jpg,,,,,,,,,, +大管马先蒿,Pedicularis macrosiphon,青藏队,7427,19820624,云南省,2600,山坡,路边,灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00170222.jpg,,,,,,,,,, +,Pedicularis maxonii,"伊廷双,孟静,杨杨",伊-10315,20070907,云南省,3113,南山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1383865.jpg,,,,,,,,,, +,Pedicularis maxonii,"Handel-Mazzetti, Heinrich",5207,17-Apr-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00438418.jpg,,,,,,,,,, +迈亚马先蒿,Pedicularis mayana,,s.n.,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01493121.jpg,,,,,,,,,, +迈亚马先蒿,Pedicularis mayana,青藏队,420,19730627,西藏自治区,4400,山坡灌丛草地,,有果无花,https://image.cvh.ac.cn/files/l/KUN/475222.jpg,,,,,,,,,, +硕花马先蒿,Pedicularis megalantha,PE西藏考察队,7885,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332005.jpg,,,,,,,,,, +硕花马先蒿,Pedicularis megalantha,泛喜马拉雅植物志巴基斯坦采集队,FPH-0615,20120623,,2400,along the river,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005394.jpg,,,,,,,,,, +山萝花马先蒿,Pedicularis melampyriflora,T.T.Yu,10001,19370831,云南省,3350,rocky hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134264.jpg,,,,,,,,,, +山萝花马先蒿,Pedicularis melampyriflora,T.T.Yu,7592,19370804,四川省,2800,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134262.jpg,,,,,,,,,, +膜叶马先蒿,Pedicularis membranacea,中国西部科学院,596,19340000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134643.jpg,,,,,,,,,, +膜叶马先蒿,Pedicularis membranacea,"熊济华,周子林",91167,19570605,重庆市,1450,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134277.jpg,,,,,,,,,, +迈氏马先蒿,Pedicularis merrilliana,"J.I.Jeon,H.S.Lee,H.J.Eom,Y.J.Park et B.Liu",SI1443,20100810,四川省,3438,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101674.jpg,,,,,,,,,, +,Pedicularis merrilliana,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-1031,20080723,西藏自治区,5307,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1383869.jpg,,,,,,,,,, +后生四川马先蒿,Pedicularis metaszetschuanica,D.E.Boufford et al.,39853,20070816,四川省,3975,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916068.jpg,,,,,,,,,, +后生四川马先蒿,Pedicularis metaszetschuanica,史国宝,s.n.,19800900,青海省,0~3700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574465.jpg,,,,,,,,,, +,Pedicularis meteororhyncha,"Rock, J.F.",25184,Jul-32,,,,,,https://image.cvh.ac.cn/files/l/E/E00386149.jpg,,,,,,,,,, +小花马先蒿,Pedicularis micrantha,青藏队,2376,19810713,云南省,4600~4500,高山草甸和杜鹃灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/475228.jpg,,,,,,,,,, +,Pedicularis micrantha,"Yü, Tse-tsun",20344,17-Sep-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00284022.jpg,,,,,,,,,, +小萼马先蒿,Pedicularis microcalyx,"F.Ludlow & G.Sherriff,& H.H.Elliot",13121,19470609,西藏自治区,4000,Open hill slopes.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134288.jpg,,,,,,,,,, +小萼马先蒿,Pedicularis microcalyx,"Ludlow,Sherriff & Hicks",16699,19490630,,4330,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134077.jpg,,,,,,,,,, +小唇马先蒿,Pedicularis microchila,"郎楷永,李良千,费勇",1131,19820818,四川省,3600~4000,"山东南坡,高山草甸",,有花无果,https://image.cvh.ac.cn/files/l/PE/00170226.jpg,,,,,,,,,, +小唇马先蒿,Pedicularis microchila,rock,24189,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00134297.jpg,,,,,,,,,, +细小马先蒿,Pedicularis minima,张泽荣、周洪富,23802,19570816,四川省,0~4000,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0574469.jpg,,,,,,,,,, +细小马先蒿,Pedicularis minima,刘丹辉,170196,20170626,四川,3919,山坡灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0050086.jpg,,,,,,,,,, +微唇马先蒿,Pedicularis minutilabris,D.E.Boufford et al.,39826,20070816,四川省,4260~4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916071.jpg,,,,,,,,,, +微唇马先蒿,Pedicularis minutilabris,钟补求,5686,19530611,西藏自治区,,,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00236711.jpg,,,,,,,,,, +柔毛马先蒿,Pedicularis mollis,PE西藏队,PE6134,20170907,西藏自治区,4474,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330963.jpg,,,,,,,,,, +柔毛马先蒿,Pedicularis mollis,"F.Ludlow,G.Sherriff,& J.H.Hicks",16673,19490628,,4000,in stony bed of the Pho Chu.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134346.jpg,,,,,,,,,, +蒙氏马先蒿,Pedicularis monbeigiana,北京植物所横断山队,1546,19810713,云南省,3500~3600,高山 灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486363.jpg,,,,,,,,,, +穆坪马先蒿,Pedicularis moupinensis,"汤宗孝,柏正强,任文夫",789,19930809,四川省,3200,草甸草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621562.jpg,,,,,,,,,, +穆坪马先蒿,Pedicularis moupinensis,白龙江考察队,556,19980721,甘肃省,3000,山地 山坡 水旁 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560734.jpg,,,,,,,,,, +藓生马先蒿,Pedicularis muscicola,李才贵,102,19840627,山西省,1750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081473.jpg,,,,,,,,,, +藓生马先蒿,Pedicularis muscicola,陈明洪等,981346,19980700,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054036.jpg,,,,,,,,,, +,Pedicularis muscoides var. rosea,"Forrest, George",14411,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00386156.jpg,,,,,,,,,, +刺冠谬氏马先蒿,Pedicularis mussotii var. lophocentra,"黄治平,蒋卓然,罗正远",1317,1930/7/8,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0315557.jpg,,,,,,,,,, +刺冠谬氏马先蒿,Pedicularis mussotii var. lophocentra,余奇、周晓雪、黎怀成,THP-KD-4578,20170716,四川,3768~4074,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255673.jpg,,,,,,,,,, +,Pedicularis mussotii var. lophocentra,"Handel-Mazzetti, Heinrich",7144,30-Jul-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00386155.jpg,,,,,,,,,, +谬氏马先蒿(原变种),Pedicularis mussotii var. mussotii,张挺,刘成,冯明建,20CS19914,20200924,四川,4162,路边岩石坡地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1504985.jpg,,,,,,,,,, +菌生马先蒿,Pedicularis mychophila,"F.Ludlow,G.Sherriff & G.Taylor",5119,19380704,西藏自治区,5330,On grassy rock ledge.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134584.jpg,,,,,,,,,, +菌生马先蒿,Pedicularis mychophila,刘振书,1319,19340000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134580.jpg,,,,,,,,,, +新粗管马先蒿,Pedicularis neolatituba,Harry Smith,3162,19220809,四川省,4700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00119661.jpg,,,,,,,,,, +新粗管马先蒿,Pedicularis neolatituba,F.Miyamoto etc.,9584145,19950808,,4770,rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261317.jpg,,,,,,,,,, +聂拉木马先蒿,Pedicularis nyalamensis,,524,19590626,西藏自治区,4200,较干旱之山脊,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134634.jpg,,,,,,,,,, +林芝马先蒿,Pedicularis nyingchiensis,"T.Naito,K.Y.Lang,Y.Tateishi,T.Nemoto & B.S.Li",1282,19860520,西藏自治区,3300,on rock at stream side under quercus thi,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033066.jpg,,,,,,,,,, +暗味马先蒿,Pedicularis obscura,,,19620812,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/076068.jpg,,,,,,,,,, +多羽片欧氏马先蒿,Pedicularis oederi subsp. multipinna,宋滋圃,1960,19540000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00116027.jpg,,,,,,,,,, +,Pedicularis oederi subsp. multipinna,"Rock, Joseph Francis Charles",17479,29-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00284013.jpg,,,,,,,,,, +欧氏马先蒿多羽片亚种,Pedicularis oederi subsp. multipinna,邓姣姣、卫靜丽、刘常坤,LDW-47-V-029,20200925,四川,3261.55m,山坡草地,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02061356.jpg,,,,,,,,,, +欧氏马先蒿(原亚种),Pedicularis oederi subsp. oederi,青藏队 吴玉虎,2736,19880820,新疆维吾尔自治区 ,4900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/149294.jpg,,,,,,,,,, +欧氏马先蒿欧氏亚种中国变种,Pedicularis oederi subsp. oederi,郭先林、苟巍,2040108,20200713,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02040108.jpg,,,,,,,,,, +欧氏马先蒿欧氏亚种中国变种,Pedicularis oederi subsp. oederi,黎斌,张莹,陈昊,张瑞博,韩桂军,71069,20070822,陕西省,2400,山坡林下,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH005876.jpg,,,,,,,,,, +少花马先蒿,Pedicularis oligantha,PE西藏队,PE5056,20170825,西藏自治区,3749,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330838.jpg,,,,,,,,,, +少花马先蒿,Pedicularis oligantha,Delavay,s.n.,,云南省,3000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00033075.jpg,,,,,,,,,, +奥氏马先蒿,Pedicularis oliveriana,PE西藏队,PE5576,20170901,西藏自治区,4235,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330951.jpg,,,,,,,,,, +峨嵋马先蒿,Pedicularis omiiana,F.T.Wang,21013,19300528,四川省,2500,thicket floor;wet place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480814.jpg,,,,,,,,,, +,Pedicularis orthocoryne,"Forrest, George",6097,10-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00438454.jpg,,,,,,,,,, +尖果马先蒿,Pedicularis oxycarpa,D.E.Boufford et al.,42799,20100810,四川省,3180,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916125.jpg,,,,,,,,,, +尖果马先蒿,Pedicularis oxycarpa,D.E.Boufford et al.,35369,20060726,云南省,3190,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579746.jpg,,,,,,,,,, +尖果马先蒿,Pedicularis oxycarpa,陈少卿,16637,19580902,广西壮族自治区,,山地水旁山谷疏林普遍,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480815.jpg,,,,,,,,,, +白氏马先蒿,Pedicularis paiana,T.H.Tu,4507,19220726,四川省,3710,树林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00116358.jpg,,,,,,,,,, +白氏马先蒿,Pedicularis paiana,T.P.Wang,7129,19370707,甘肃省,3200,under herb,,有花无果,https://image.cvh.ac.cn/files/l/PE/00116349.jpg,,,,,,,,,, +白氏马先蒿,Pedicularis paiana,T.Tang,1124,19290000,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00116347.jpg,,,,,,,,,, +缅甸潘氏马先蒿,Pedicularis pantlingii subsp. chimiliensis,张英伯,565,19401101,云南省 ,0~4400,,herb,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0574580.jpg,,,,,,,,,, +缅甸潘氏马先蒿,Pedicularis pantlingii subsp. chimiliensis,张英伯,565,19401101,云南省,0~4400,,herb,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0574579.jpg,,,,,,,,,, +,Pedicularis pantlingii subsp. pantlingii,钟补求,5940,19530727,西藏自治区,,溪流旁水湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00116379.jpg,,,,,,,,,, +拟篦齿马先蒿,Pedicularis pectinatiformis,"T.N.Ho,B,Bartholonew,M,Watson and M.Gilbert.",2998,19960809,青海省,3790,"Slopes with Picea likiangensis forest,mostly degraded",,无花有果,https://image.cvh.ac.cn/files/l/PE/00116403.jpg,,,,,,,,,, +拟篦齿马先蒿,Pedicularis pectinatiformis,Eaton; McKenzie; Meek; Jin,DE573,20190712,四川,4135,Shrubby gravely slope with scattered meadows.,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1555426.jpg,,,,,,,,,, +拟篦齿马先蒿,Pedicularis pectinatiformis,Eaton; McKenzie; Meek; Jin,DE702,20190718,青海,4026,Wet meadow around mountain lake.,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1555743.jpg,,,,,,,,,, +五角马先蒿,Pedicularis pentagona,T.T.Yu,12931,19370828,云南省,2800,side of mt stream,,有花有果,https://image.cvh.ac.cn/files/l/PE/00116409.jpg,,,,,,,,,, +五角马先蒿,Pedicularis pentagona,川经西(59)字,3542,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00116407.jpg,,,,,,,,,, +伯氏马先蒿,Pedicularis petitmenginii,Harry Smith,10675,19340722,四川省,3300,in prato humido,,有花有果,https://image.cvh.ac.cn/files/l/PE/01480755.jpg,,,,,,,,,, +伯氏马先蒿,Pedicularis petitmenginii,,74269,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00135862.jpg,,,,,,,,,, +绵穗马先蒿,Pedicularis pilostachya,N.M.Przewalski,s.n.,18720721,甘肃省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432111.jpg,,,,,,,,,, +绵穗马先蒿,Pedicularis pilostachya,李洪钧,3938,19580715,湖南省,1400~1500,路坡树林,,有花无果,https://image.cvh.ac.cn/files/l/PE/00135865.jpg,,,,,,,,,, +绵穗马先蒿,Pedicularis pilostachya,医学院队,50562,19590903,河南省,450,山地阳处梁脊,,有花无果,https://image.cvh.ac.cn/files/l/PE/00135864.jpg,,,,,,,,,, +浅黄皱褶马先蒿,Pedicularis plicata subsp. luteola,"郎楷永,李良千,费勇",2815,19830806,四川省,4150,高山草甸与灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155969.jpg,,,,,,,,,, +,Pedicularis plicata subsp. luteola,"陈家辉,刘亚辉,周妍,赵艳丽,吴志刚,熊力军",YangYP-Q-2201,20090918,云南省,3950,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1383941.jpg,,,,,,,,,, +,Pedicularis plicata subsp. luteola,"Forrest, George",14578,17-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00386150.jpg,,,,,,,,,, +远志状马先蒿,Pedicularis polygaloides,成都中医药大学,6913,19780730,四川,3800,草坡上,草本,无花无果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0002869.jpg,,,,,,,,,, +多齿马先蒿,Pedicularis polyodonta,,256,19640705,青海省,3700,山地阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082684.jpg,,,,,,,,,, +多齿马先蒿,Pedicularis polyodonta,白龙江考察队,981,19980728,甘肃省,3150,山地 山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556284.jpg,,,,,,,,,, +多齿马先蒿,Pedicularis polyodonta,Harry Smith,2483,19220709,四川省,3500,in parto herbouo,,有花无果,https://image.cvh.ac.cn/files/l/PE/01457731.jpg,,,,,,,,,, +悬岩马先蒿,Pedicularis praeruptorum,北京所横断山队,3589,19810824,云南省,4150~4400,高山 灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486373.jpg,,,,,,,,,, +悬岩马先蒿,Pedicularis praeruptorum,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122249.jpg,,,,,,,,,, +高超马先蒿,Pedicularis princeps,Harry Smith,10297,19340713,四川省,2800,in prato ad rivulum,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480754.jpg,,,,,,,,,, +高超马先蒿,Pedicularis princeps,郭本兆,1608,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00135866.jpg,,,,,,,,,, +粗毛普氏马先蒿,Pedicularis przewalskii subsp. hirsuta,J.Rock,16373,19280800,四川省,0~5335,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574618.jpg,,,,,,,,,, +粗毛普氏马先蒿,Pedicularis przewalskii subsp. hirsuta,俞德浚,9160,19370725,云南省,4100,mt grassy land,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255309.jpg,,,,,,,,,, +粗毛普氏马先蒿,Pedicularis przewalskii subsp. hirsuta,J.F.Rock,24224,19320500,云南省 ,4500,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00236739.jpg,,,,,,,,,, +,Pedicularis przewalskii subsp. przewalskii,"郎楷永,李良千",1167,19820818,四川省,3850,郎山东南部,高山灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00116591.jpg,,,,,,,,,, +假头花马先蒿,Pedicularis pseudocephalantha,北京所横断山队,3162,19810817,云南省,3400~3600,高山栎 云杉林内草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486376.jpg,,,,,,,,,, +假头花马先蒿,Pedicularis pseudocephalantha,王启无,68785,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574622.jpg,,,,,,,,,, +假弯管马先蒿,Pedicularis pseudocurvituba,"郭柯,郑度",12576,19880906,青海省,4480,大西塘北侧山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01469277.jpg,,,,,,,,,, +假弯管马先蒿,Pedicularis pseudocurvituba,生物所,10206,19750710,四川省,0~3430,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574628.jpg,,,,,,,,,, +,Pedicularis pseudoingens,横断山队植被组,4735,19830731,云南省,3700,冷杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00116612.jpg,,,,,,,,,, +,Pedicularis pseudoingens,杨福生,2084,20000816,四川省,4300,阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00084618.jpg,,,,,,,,,, +,Pedicularis pseudoingens,杨福生,Y0191,20010819,西藏自治区,3800,阳坡、松树林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00084360.jpg,,,,,,,,,, +假山萝花马先蒿,Pedicularis pseudomelampyriflora,D.E.Boufford et al.,43266,20130825,四川省,3150~3240,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026242.jpg,,,,,,,,,, +假山萝花马先蒿,Pedicularis pseudomelampyriflora,D.E.Boufford et al.,41524,20090731,西藏自治区,3510~3550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913623.jpg,,,,,,,,,, +假山萝花马先蒿,Pedicularis pseudomelampyriflora,T.N.Ho B.Bartholomew M.Watson et al,2523,19960825,青海省,3400,Steep slope with Juniperus,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647028.jpg,,,,,,,,,, +假藓生马先蒿,Pedicularis pseudomuscicola,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033041.jpg,,,,,,,,,, +假藓生马先蒿,Pedicularis pseudomuscicola,彭玉兰、余奇、李林霖,THP-KD-1374,20170617,四川,3768~4150,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254775.jpg,,,,,,,,,, +假司氏马先蒿,Pedicularis pseudosteiningeri,青藏队,13246,19830822,四川省,3600~3700,烧香梁子山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155981.jpg,,,,,,,,,, +假司氏马先蒿,Pedicularis pseudosteiningeri,T.T.Yu,7004,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00116615.jpg,,,,,,,,,, +假多色马先蒿,Pedicularis pseudoversicolor,北京所横断山队,3567,19810823,云南省,4150,高山 灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486379.jpg,,,,,,,,,, +侏儒马先蒿,Pedicularis pygmaea,N.M.Przewalski,s.n.,18840700,西藏自治区,4567,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033038.jpg,,,,,,,,,, +侏儒马先蒿,Pedicularis pygmaea,D.E.Boufford etc.,30862,20040719,四川省,4200~4400,rocky gravelly slopes with patches of Rhododendron forests and Rhododendron Salix and Larix scrub and open places Among small Rhododendron,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255352.jpg,,,,,,,,,, +,Pedicularis pygmaea,"陈世龙,张得钧,高庆波,张发起",ChenSL0051,20080723,青海省,4300,高寒草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1383986.jpg,,,,,,,,,, +曲乡马先蒿,Pedicularis quxiangensis,倪志诚等/Ni Chi-cheng etc.,1921,19810901,西藏自治区,3400,山坡灌丛草地,伏地草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00033012.jpg,,,,,,,,,, +多枝马先蒿,Pedicularis ramosissima,北京所横断山队,3332,19810821,云南省,2900~3400,江河谷 高山 栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486377.jpg,,,,,,,,,, +多枝马先蒿,Pedicularis ramosissima,杨福生,Y0182,20010818,西藏自治区,3700,阳坡、路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00084333.jpg,,,,,,,,,, +多枝马先蒿,Pedicularis ramosissima,R.P.Soulie,5283,19040800,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033011.jpg,,,,,,,,,, +,Pedicularis recurva,George Forrest,6246,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134882.jpg,,,,,,,,,, +反曲马先蒿,Pedicularis recurva,G.N.Potanin,s.n.,18850806,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033010.jpg,,,,,,,,,, +,Pedicularis recurva,G.Forrest,6246,19100700,云南省 ,0~3660,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574640.jpg,,,,,,,,,, +疏裂马先蒿,Pedicularis remotiloba,青藏队,8628,19820726,云南省,3600,山顶灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00170180.jpg,,,,,,,,,, +疏裂马先蒿,Pedicularis remotiloba,T.T.Yu,22368,19380816,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574643.jpg,,,,,,,,,, +爬行马先蒿,Pedicularis reptans,"F.Ludlow,G.Sherriff & H.H.Elliot",13053,19470529,西藏自治区,2333,in damp ground,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033007.jpg,,,,,,,,,, +,Pedicularis reptans,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13053,29-May-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00284052.jpg,,,,,,,,,, +雷丁马先蒿,Pedicularis retingensis,"F.Ludlow,G.Sherriff",8835,19420720,西藏自治区,5000,in boulder scree,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033005.jpg,,,,,,,,,, +,Pedicularis retingensis,"Ludlow, Francis & Sherriff, George",11060,24-Jul-44,,,,,,https://image.cvh.ac.cn/files/l/E/E00284051.jpg,,,,,,,,,, +立氏大王马先蒿,Pedicularis rex subsp. lipskyana,王名金等,2009,19571001,江西省,100,山路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480864.jpg,,,,,,,,,, +立氏大王马先蒿,Pedicularis rex subsp. lipskyana,"郎楷永,李良千,费勇",1097,19820811,四川省,2900~3000,次生灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00170011.jpg,,,,,,,,,, +立氏大王马先蒿,Pedicularis rex subsp. lipskyana,T.T.Yu,15311,19370716,云南省,2800,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00117185.jpg,,,,,,,,,, +矮小大王马先蒿,Pedicularis rex subsp. parva,谭仲明,何明友,121073,19830704,四川省,1400,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00247866.jpg,,,,,,,,,, +假斗大王马先蒿,Pedicularis rex subsp. pseudocyathus,邓世纬,90333,19350520,贵州省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574782.jpg,,,,,,,,,, +大王马先蒿 作草亚种,Pedicularis rex subsp. pseudocyathus,平坝普查队,,19861024,贵州,1370,山坡(缓)阳阴处,草本、常绿,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0075258.jpg,,,,,,,,,, +,Pedicularis rex subsp. rex,胡君、李丽、丁俊祥、蔡琴、许奇标,SC-a-038-B27,20170816,四川,3627,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262437.jpg,,,,,,,,,, +,Pedicularis rex subsp. rex,胡君、王东超、李丽、唐露,SC-a-073-B025,20180808,云南,3378,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262388.jpg,,,,,,,,,, +根茎马先蒿,Pedicularis rhizomatosa,"F.Ludlow,G.Sherriff & G.Taylor",4944,19380622,西藏自治区,4000,on avalanche slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033000.jpg,,,,,,,,,, +根茎马先蒿,Pedicularis rhizomatosa,史国宝,31,19800900,青海省,0~3800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574808.jpg,,,,,,,,,, +根茎马先蒿,Pedicularis rhizomatosa,胡孝宏,20930,1979-7 2,四川省,3700,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0127252.jpg,,,,,,,,,, +红毛马先蒿,Pedicularis rhodotricha,,371,19640713,青海省,4300,山顶阳坡、阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082618.jpg,,,,,,,,,, +红毛马先蒿,Pedicularis rhodotricha,D.E.Boufford et al.,39300,20070808,四川省,3720~4100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916076.jpg,,,,,,,,,, +红毛马先蒿,Pedicularis rhodotricha,秦岭队,10237,19580628,陕西省,,半阳处 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826725.jpg,,,,,,,,,, +喙齿马先蒿,Pedicularis rhynchodonta,Harry Smith,10686,19340724,四川省,4000,in prato alpino,,有花有果,https://image.cvh.ac.cn/files/l/PE/00123482.jpg,,,,,,,,,, +喙齿马先蒿,Pedicularis rhynchodonta,T.T.Yu,6515,19370621,云南省,3750,mt.slope grassy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00117563.jpg,,,,,,,,,, +喙毛马先蒿,Pedicularis rhynchotricha,张经炜,1002,19730811,西藏自治区,3000,古冰川侧碛,,无花有果,https://image.cvh.ac.cn/files/l/PE/00170151.jpg,,,,,,,,,, +坚挺马先蒿,Pedicularis rigida,青藏队,14947,19831005,云南省,2400,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00117568.jpg,,,,,,,,,, +坚挺马先蒿,Pedicularis rigida,青藏队,14856,19830929,四川省,1900,山坡灌丛草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00117566.jpg,,,,,,,,,, +日照马先蒿,Pedicularis rizhaoensis,"D.E.Boufford,J.F.Harber & X.H.Li",43486,20130907,四川省,3750,extensive meadow and adjacent slopes along road moist grassy slope in open,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037083.jpg,,,,,,,,,, +,Pedicularis roborowskii,"汤宗孝,柏正强,任文夫",741,19930809,四川省,3200,草甸草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621566.jpg,,,,,,,,,, +,Pedicularis roborowskii,洪德元等,H97185,19970815,青海省,3100,Meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480854.jpg,,,,,,,,,, +圆叶马先蒿,Pedicularis rotundifolia,Ward,7216,700,,3380,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032994.jpg,,,,,,,,,, +圆叶马先蒿,Pedicularis rotundifolia,西藏中草药普查队,3884,19720726,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/32932.jpg,,,,,,,,,, +罗氏马先蒿罗氏亚种罗氏变种,Pedicularis roylei subsp. roylei,方震东,1215,19890624,云南省,4300,高山砾质草甸,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003374.jpg,,,,,,,,,, +粗野马先蒿,Pedicularis rudis,D.E.Boufford et al.,38377,20070727,四川省,3100~3300,"Heavily disturbed,moist stony slopes with coarse herbs and shrubs (Salix,Lonicera,Deutzia,Rosa).Grassy slope in shade and in open",,有花无果,https://image.cvh.ac.cn/files/l/PE/01938857.jpg,,,,,,,,,, +粗野马先蒿,Pedicularis rudis,白水江考察队,118,20060625,甘肃省,2350~2400,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612495.jpg,,,,,,,,,, +粗野马先蒿,Pedicularis rudis,马成功等,149,19810630,陕西省,2200,山坡 林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01535206.jpg,,,,,,,,,, +,Pedicularis rupicola subsp. rupicola,李献权,318,1963/8/11,四川省,3400,,草本,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0095596.jpg,,,,,,,,,, +岩居马先蒿岩居亚种岩居变型,Pedicularis rupicola subsp. rupicola,方震东,151,19870710,云南省,4300,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003372.jpg,,,,,,,,,, +川西岩居马先蒿,Pedicularis rupicola subsp. zambalensis,J.Rock,17622,19280000,四川省,0~3700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574862.jpg,,,,,,,,,, +柳叶马先蒿,Pedicularis salicifolia,R.C.Ching,21299,19390726,云南省,,On open past,,有花无果,https://image.cvh.ac.cn/files/l/PE/00117769.jpg,,,,,,,,,, +柳叶马先蒿,Pedicularis salicifolia,G.Forrest,10994,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574865.jpg,,,,,,,,,, +柳叶马先蒿,Pedicularis salicifolia,"蔡杰, 何华杰",15CS11302,20150917,云南,1742,河谷灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1446265.jpg,,,,,,,,,, +滑果丹参马先蒿,Pedicularis salviiflora var. leiocarpa,青藏队,83-13492,19830826,四川省,3300,山坡云杉林下,草本蔓生,有花无果,https://image.cvh.ac.cn/files/l/PE/00033037.jpg,,,,,,,,,, +丹参花马先蒿(原变种),Pedicularis salviiflora var. salviiflora,张桥蓉,余华,苟春芳,ZhangYH113,20190922,云南,2361,灌草丛中,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489545.jpg,,,,,,,,,, +鹬形马先蒿,Pedicularis scolopax,D.E.boufford B.Bartholomew D.A.Eaton et al,41211,20090727,西藏自治区,3280~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101985.jpg,,,,,,,,,, +鹬形马先蒿,Pedicularis scolopax,D.E.Boufford et al.,35590,20060801,四川省,3310,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01579814.jpg,,,,,,,,,, +鹬形马先蒿,Pedicularis scolopax,N.M.Przewalski,167,18840000,青海省,1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122308.jpg,,,,,,,,,, +半扭卷马先蒿,Pedicularis semitorta,D.E.Boufford et al.,38969,20070804,四川省,3075~3525,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01916139.jpg,,,,,,,,,, +半扭卷马先蒿,Pedicularis semitorta,D.E.Boufford et al.,39349,20070809,青海省,3720,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01916053.jpg,,,,,,,,,, +半扭卷马先蒿,Pedicularis semitorta,白龙江考察队,949,19980728,甘肃省,0,山地 山坡 灌丛 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560730.jpg,,,,,,,,,, +休氏马先蒿,Pedicularis sherriffii,青藏队,5536,19810829,四川省,4700,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00117906.jpg,,,,,,,,,, +休氏马先蒿,Pedicularis sherriffii,"F.Ludlow,G.Sherriff & G.Taylor",3991,19380607,西藏自治区,4667,on open earthy slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033028.jpg,,,,,,,,,, +之形喙马先蒿,Pedicularis sigmoidea,秦仁昌,23215,19290710,云南省,,草坡内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00117914.jpg,,,,,,,,,, +之形喙马先蒿,Pedicularis sigmoidea,胡考农,20901,19790727,四川省,0~3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574900.jpg,,,,,,,,,, +之形喙马先蒿,Pedicularis sigmoidea,俞德俊,9093,19370724,云南省 ,0~4060,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574904.jpg,,,,,,,,,, +矽镁马先蒿,Pedicularis sima,D.E.Boufford et al.,41329,20090729,西藏自治区,3700~3900,meadow above small stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885984.jpg,,,,,,,,,, +矽镁马先蒿,Pedicularis sima,T.T.Yu,9359,19370804,云南省,4050,stream side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00117917.jpg,,,,,,,,,, +台氏管花马先蒿,Pedicularis siphonantha var. delavayi,北京所横断山队,2898,19810811,云南省,3900~4100,高山 流石滩上常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518463.jpg,,,,,,,,,, +台氏管花马先蒿,Pedicularis siphonantha var. delavayi,"郎楷永,李良千,费勇",2435,19830728,四川省,3500~3700,云杉柏树林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190054.jpg,,,,,,,,,, +管花马先蒿管花变种,Pedicularis siphonantha var. siphonantha,方震东,978,19880716,云南省,3400,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003386.jpg,,,,,,,,,, +管花马先蒿管花变种,Pedicularis siphonantha var. siphonantha,谢登峰、蔡竞、秦换换,SC-00-016-A-005,20200829,四川,3293.31m,高山草甸,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02071018.jpg,,,,,,,,,, +史氏马先蒿,Pedicularis smithiana,青藏队,12224,19830721,四川省,3800,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00170106.jpg,,,,,,,,,, +史氏马先蒿,Pedicularis smithiana,George Forrest,28816,19300000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122043.jpg,,,,,,,,,, +花楸叶马先蒿,Pedicularis sorbifolia,Harry Smith,3024,19220804,四川省,3300,in silva abietina primava muscosa,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123516.jpg,,,,,,,,,, +苏氏马先蒿,Pedicularis souliei,D.E.Boufford et al.,39187,20070807,四川省,4250~4530,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916121.jpg,,,,,,,,,, +苏氏马先蒿,Pedicularis souliei,Eaton; McKenzie; Meek; Jin,DE582,20190712,四川,4121,High alpine meadow with scattered shrubs near a stream.,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1555437.jpg,,,,,,,,,, +团花马先蒿,Pedicularis sphaerantha,"张永田,郞楷永",1451,19650807,西藏自治区,4800,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122048.jpg,,,,,,,,,, +团花马先蒿,Pedicularis sphaerantha,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",805,19930805,青海省,3980,Wet area with pool and hummock complex with stream flowing through.Growing on drier tussocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122046.jpg,,,,,,,,,, +团花马先蒿,Pedicularis sphaerantha,杨福生,Y0203,20010823,云南省,3450,云南松、高山栎下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00084391.jpg,,,,,,,,,, +穗花马先蒿,Pedicularis spicata,中阳甲队,238,19550711,山西省,,密林下 阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084114.jpg,,,,,,,,,, +穗花马先蒿,Pedicularis spicata,石硕,SZ3642,20140722,河北省,1938,水边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034737.jpg,,,,,,,,,, +司氏马先蒿,Pedicularis steiningeri,D.E.Boufford et al.,40776,20090720,西藏自治区,3995,in open between shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885986.jpg,,,,,,,,,, +司氏马先蒿,Pedicularis steiningeri,D.E.Boufford et al.,35458,20060730,四川省,3340,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579548.jpg,,,,,,,,,, +司氏马先蒿,Pedicularis steiningeri,"T.N.Ho,B.Bartholomew,M.Watson and M.Gilbert.",2510,19960828,青海省,3450~3550,"Valley with Picea likiangensis forest on slopes,bottom of slopes with Juniperus and Berberis,stream along bottom,some collections made in cultivated area on way",,有花有果,https://image.cvh.ac.cn/files/l/PE/00122279.jpg,,,,,,,,,, +黑毛狭盔马先蒿,Pedicularis stenocorys subsp. melanotricha,Harry Smith,10672,19340722,四川省,3900,in prato alpino,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032959.jpg,,,,,,,,,, +狭盔马先蒿狭盔亚种极,Pedicularis stenocorys subsp. stenocorys,李馨/H.Li,73241,19570721,四川省,3750,山坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00032960.jpg,,,,,,,,,, +狭盔马先蒿(原亚种),Pedicularis stenocorys subsp. stenocorys,杨宗汉,68116,,云南省,0~3250,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574935.jpg,,,,,,,,,, +狭室马先蒿,Pedicularis stenotheca,"F.Ludlow,G.Sherriff & H.H.Elliot",13835,19470603,西藏自治区,4000,on grassy banks in conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032958.jpg,,,,,,,,,, +,Pedicularis stenotheca,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13835,3-Jun-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00284046.jpg,,,,,,,,,, +扭喙马先蒿,Pedicularis streptorhyncha,杨福生,2107,20000820,四川省,4080,阳坡、碎石坡、绣线菊,,有花无果,https://image.cvh.ac.cn/files/l/PE/00135620.jpg,,,,,,,,,, +红纹马先蒿,Pedicularis striata,中阳甲队,162,19550630,山西省,1700,灌木丛边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02084107.jpg,,,,,,,,,, +红纹马先蒿,Pedicularis striata,黄河队,8023,19560807,陕西省,,山坡 阴阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075554.jpg,,,,,,,,,, +球状马先蒿,Pedicularis strobilacea,汤宗孝,506,19810703,云南省,3650,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621568.jpg,,,,,,,,,, +球状马先蒿,Pedicularis strobilacea,青藏队,10163,19820908,西藏自治区,3700~3800,山沟灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00170203.jpg,,,,,,,,,, +球状马先蒿,Pedicularis strobilacea,T.T.Yu,7613,19370801,四川省,2800,on rocks,,有花有果,https://image.cvh.ac.cn/files/l/PE/00122607.jpg,,,,,,,,,, +长柱马先蒿,Pedicularis stylosa,青藏队植被组,6501,19750627,西藏自治区,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032957.jpg,,,,,,,,,, +长柱马先蒿,Pedicularis stylosa,山诺会,,19980800,青海省,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00019031.jpg,,,,,,,,,, +长柱马先蒿,Pedicularis stylosa,山诺会,,19980800,青海,4900,,,,https://image.cvh.ac.cn/files/l/BJFC/00019031.jpg,,,,,,,,,, +华丽马先蒿,Pedicularis superba,D.E.Boufford et al.,42005,20090808,云南省,4280~4600,on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885987.jpg,,,,,,,,,, +华丽马先蒿,Pedicularis superba,青藏队,12729,19830808,四川省,3700,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00170107.jpg,,,,,,,,,, +宽叶四川马先蒿,Pedicularis szetschuanica subsp. latifolia,吴中伦,32221,19580621,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00135820.jpg,,,,,,,,,, +宽叶四川马先蒿,Pedicularis szetschuanica subsp. latifolia,,72428,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122715.jpg,,,,,,,,,, +,Pedicularis szetschuanica subsp. szetschuanica,"蒋兴麟,熊济华",36481,19530804,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122732.jpg,,,,,,,,,, +,Pedicularis szetschuanica subsp. szetschuanica,J.F.Rock,14503,19260700,西藏自治区,4400,in meadows near summit of Wanchen nira,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122730.jpg,,,,,,,,,, +塔布马先蒿,Pedicularis takpoensis,汤宗孝,145,19820624,四川省,3210,山间平原,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122736.jpg,,,,,,,,,, +塔布马先蒿,Pedicularis takpoensis,"F.Ludlow,G.Sherriff & G.Taylor",5614,19380620,西藏自治区,4667,on rocky open slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032952.jpg,,,,,,,,,, +塔布马先蒿,Pedicularis takpoensis,H.T.Tsai,59744,19331009,云南省 ,0~3650,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574964.jpg,,,,,,,,,, +大炮马先蒿,Pedicularis tapaoensis,Harry Smith,11460,19340822,四川省,4700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123522.jpg,,,,,,,,,, +,Pedicularis tapaoensis,"张挺,郭永杰,易思荣,谭秋平",10CS1725,20100508,重庆,1530,山坡林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1384221.jpg,,,,,,,,,, +打箭马先蒿,Pedicularis tatsienensis,D.E.Boufford et al.,38572,20070729,四川省,4230~4350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916108.jpg,,,,,,,,,, +打箭马先蒿,Pedicularis tatsienensis,rock,22875,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122825.jpg,,,,,,,,,, +泰氏马先蒿,Pedicularis tayloriana,"F.Ludlow,G.Sherriff & G.Taylor",5578,19380616,西藏自治区,4500,on open wet grassy slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032943.jpg,,,,,,,,,, +泰氏马先蒿,Pedicularis tayloriana,史国宝,5,19800800,青海省,0~4000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574968.jpg,,,,,,,,,, +宿叶马先蒿,Pedicularis tenacifolia,张经炜,1768,19730822,西藏自治区,4550,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00170019.jpg,,,,,,,,,, +宿叶马先蒿,Pedicularis tenacifolia,四川植被调查队,7156,1974/6/24,四川省,4700,,草本,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0095565.jpg,,,,,,,,,, +宿叶马先蒿,Pedicularis tenacifolia,方震东、刘琳、李红、和光、史小武、赵卫东、陈洁,K-2093,20020924,云南省,3664,冷杉落叶松林,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007219.jpg,,,,,,,,,, +细茎马先蒿,Pedicularis tenera,杨福生,2103,20000819,四川省,4190,阳坡、乱砾石,,有花有果,https://image.cvh.ac.cn/files/l/PE/00135612.jpg,,,,,,,,,, +,Pedicularis tenera,"陈世龙,高庆波,张发起,付鹏程,邢睿",ChenSL1588,20110818,青海省,3630,高山草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1384222.jpg,,,,,,,,,, +细茎马先蒿,Pedicularis tenera,陈晓澄等,Chenxc-395,20170908,西藏,4239,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018791.jpg,,,,,,,,,, +纤茎马先蒿,Pedicularis tenuicaulis,沈文明,NJWLS0731,20141026,云南省,2240,针阔混交林,,,https://image.cvh.ac.cn/files/l/KUN/1288286.jpg,,,,,,,,,, +,Pedicularis tenuicaulis,高信芬、涂卫国、何海、乔永康,6982,20030904,西藏自治区,1700,路边空旷地,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190814.jpg,,,,,,,,,, +纤裂马先蒿,Pedicularis tenuisecta,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",988,20021108,云南省,2520,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111125.jpg,,,,,,,,,, +纤裂马先蒿,Pedicularis tenuisecta,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01493249.jpg,,,,,,,,,, +狭管马先蒿,Pedicularis tenuituba,黄河队,2349,19560608,甘肃省,,,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00236462.jpg,,,,,,,,,, +狭管马先蒿,Pedicularis tenuituba,生物研究所西藏考察队,2572,19730916,四川省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/39651.jpg,,,,,,,,,, +,Pedicularis tenuituba,"Rock, J.F.",17403,29-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00438476.jpg,,,,,,,,,, +三叶马先蒿,Pedicularis ternata,N.M.Przewalski,418,18840800,西藏自治区,1300~3833,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122908.jpg,,,,,,,,,, +三叶马先蒿,Pedicularis ternata,Ho Ting-nung Brue Bartholomew & Mike GilBert,1491,19930819,青海省,4300~4400,"Hillside with mostly closed turf,lower slopes with Salix bushes,valley bottom with closed turf.Growing through Salix bushes",,有花有果,https://image.cvh.ac.cn/files/l/PE/00122907.jpg,,,,,,,,,, +三叶马先蒿,Pedicularis ternata,"胡叔良,刘学忠",143-2,19560810,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00122899.jpg,,,,,,,,,, +杯状灌丛马先蒿,Pedicularis thamnophila subsp. cupuliformis,刘培嵩,113611,19800612,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/SZ/00251211.jpg,,,,,,,,,, +杯状灌丛马先蒿,Pedicularis thamnophila subsp. cupuliformis,赵清盛,6568,19780803,四川,2300,小金河坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0002878.jpg,,,,,,,,,, +,Pedicularis thamnophila subsp. cupuliformis,"Rock, Joseph Francis Charles",16692,28-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00091782.jpg,,,,,,,,,, +西藏马先蒿,Pedicularis tibetica,D.E.Boufford et al.,35787,20060805,四川省,4200~4250,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01579550.jpg,,,,,,,,,, +西藏马先蒿,Pedicularis tibetica,T.N.Liou,L.3546,19310822,新疆维吾尔自治区,3500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00134991.jpg,,,,,,,,,, +绒毛马先蒿,Pedicularis tomentosa,杨福生,Y0106,20010731,四川省,4350,南坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00084199.jpg,,,,,,,,,, +绒毛马先蒿,Pedicularis tomentosa,T.T.Yu,13112,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032937.jpg,,,,,,,,,, +东俄洛马先蒿,Pedicularis tongolensis,贾慎修,s.n.,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00122941.jpg,,,,,,,,,, +,Pedicularis tongolensis,"苏涛,黄永江,杨青松,王力",ZhouZK11280,20110915,西藏自治区,3998,高山灌丛,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1384231.jpg,,,,,,,,,, +扭旋马先蒿,Pedicularis torta,万涛等,WL0014,20140711,四川省,2560,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918895.jpg,,,,,,,,,, +扭旋马先蒿,Pedicularis torta,白龙江考察队,950,19980728,甘肃省,0,山地 山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560741.jpg,,,,,,,,,, +扭旋马先蒿,Pedicularis torta,陈耀东等,2206,19881007,重庆市,,山坡草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01480769.jpg,,,,,,,,,, +猫眼草三角齿马先蒿,Pedicularis triangularidens subsp. chrysosplenioides,Harry Smith,4161,19220802,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032981.jpg,,,,,,,,,, +三角齿马先蒿三角齿亚,Pedicularis triangularidens subsp. triangularidens,第八森林经理大队,4152,19580709,四川省,2750,河边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00032982.jpg,,,,,,,,,, +,Pedicularis trichocymba,"张挺,郭永杰,刘成等",10CS2253,20100805,四川省,,"Rocky, SW-facing bank, 30° slope",草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1384242.jpg,,,,,,,,,, +毛舟马先蒿,Pedicularis trichocymba,不祥,407,19640716,青海省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/139524.jpg,,,,,,,,,, +毛舟马先蒿,Pedicularis trichocymba,余岩、付俊杰,2020449,20200715,四川,3329,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02020449.jpg,,,,,,,,,, +毛盔马先蒿,Pedicularis trichoglossa,D.E.boufford B.Bartholomew D.A.Eaton et al,41071,20090725,西藏自治区,4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101982.jpg,,,,,,,,,, +毛盔马先蒿,Pedicularis trichoglossa,D.E.Boufford et al.,36073,20060808,四川省,4500~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579721.jpg,,,,,,,,,, +毛盔马先蒿,Pedicularis trichoglossa,北京所横断山队,3274,19810818,云南省,,高山灌丛 草甸中湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518435.jpg,,,,,,,,,, +须毛马先蒿,Pedicularis trichomata,T.T.Yu,6437,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032975.jpg,,,,,,,,,, +须毛马先蒿,Pedicularis trichomata,生物研究所西藏考察队,2364,19730830,西藏自治区,3400,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/39222.jpg,,,,,,,,,, +,Pedicularis trichomata,T. T. Yu,6437,1930,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00097290.jpg,,,,,,,,,, +等凹三色马先蒿,Pedicularis tricolor var. aequiretusa,T.T.Yu,13678,19371009,云南省,3000,Grassland,,有花有果,https://image.cvh.ac.cn/files/l/PE/00123109.jpg,,,,,,,,,, +,Pedicularis tricolor var. aequiretusa,T. T. Yu,12947,1937/8/28,,3400,,,,https://image.cvh.ac.cn/files/l/HUH/A00128212.jpg,,,,,,,,,, +三色马先蒿,Pedicularis tricolor var. tricolor,王红,6,20000722,云南省,0,草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/698709.jpg,,,,,,,,,, +阴郁马先蒿,Pedicularis tristis,"张秀实,任有铣",6199,19580725,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123119.jpg,,,,,,,,,, +阴郁马先蒿,Pedicularis tristis,Ho Ting-nung Brue Bartholomew & Mike GilBert,524,19930729,青海省,3920,Alpine meadow with Hedysarum and N facing slope with very dense turf and frequent dwarf shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123117.jpg,,,,,,,,,, +阴郁马先蒿,Pedicularis tristis,张耀甲,228,19930711,甘肃省,3400,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123113.jpg,,,,,,,,,, +蔡氏马先蒿,Pedicularis tsaii,H.T.Tsai,58604,19340914,云南省,4000,alpine meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/00123128.jpg,,,,,,,,,, +蔡氏马先蒿,Pedicularis tsaii,H.T.Tsai,58604,19330914,云南省 ,0~4000,,herb,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0575037.jpg,,,,,,,,,, +察郎马先蒿,Pedicularis tsarungensis,rock,22261,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032972.jpg,,,,,,,,,, +,Pedicularis tsarungensis,"Rock, J.F.",22261,May-32,,,,,,https://image.cvh.ac.cn/files/l/E/E00438475.jpg,,,,,,,,,, +茨口马先蒿,Pedicularis tsekouensis,T.T.Yu,20331,19380916,云南省,3200,alpine grassland,,有花有果,https://image.cvh.ac.cn/files/l/PE/00123154.jpg,,,,,,,,,, +茨口马先蒿,Pedicularis tsekouensis,G.Forrest,25544,19250000,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0575039.jpg,,,,,,,,,, +茨口马先蒿,Pedicularis tsekouensis,俞德俊,1493,19320000,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0575042.jpg,,,,,,,,,, +伞花马先蒿,Pedicularis umbelliformis,T.T.Yu,11746,19370624,云南省,3440,mt grassyslope,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00032971.jpg,,,,,,,,,, +坛萼马先蒿,Pedicularis urceolata,D.E.Boufford et al.,36050,20060808,四川省,4300~4350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579686.jpg,,,,,,,,,, +坛萼马先蒿,Pedicularis urceolata,J.F.Rock,24764,19320000,云南省 ,0~3507,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0575045.jpg,,,,,,,,,, +坛萼马先蒿,Pedicularis urceolata,"蔡杰, 张挺, 刘成, 郭永杰, 骆洋, 张昌宾",10CS2533,20100922,四川,3437,亚高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1455744.jpg,,,,,,,,,, +变色马先蒿,Pedicularis variegata,青藏队,13224,19830822,四川省,4200,谷地 草地 杜鹃灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190087.jpg,,,,,,,,,, +变色马先蒿,Pedicularis variegata,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191444,20190922,云南,3642,亚热带针阔混交林,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486439.jpg,,,,,,,,,, +,Pedicularis variegata,"Rock, J.F.",16927,28-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00438474.jpg,,,,,,,,,, +马鞭草叶马先蒿,Pedicularis verbenifolia,,,19630000,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075726.jpg,,,,,,,,,, +马鞭草叶马先蒿,Pedicularis verbenifolia,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075725.jpg,,,,,,,,,, +地黄叶马先蒿,Pedicularis veronicifolia,秦仁昌,24762,19290921,四川省,2600,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123240.jpg,,,,,,,,,, +地黄叶马先蒿,Pedicularis veronicifolia,刘慎谔,20256,19410000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123239.jpg,,,,,,,,,, +唐古特轮叶马先蒿,Pedicularis verticillata subsp. tangutica,河西队,429,19670818,甘肃省,3500,草甸,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00123324.jpg,,,,,,,,,, +唐古特轮叶马先蒿,Pedicularis verticillata subsp. tangutica,王作宾,13015,19420707,宁夏回族自治区,2200,阴暗潮湿地方,,有花有果,https://image.cvh.ac.cn/files/l/PE/00123322.jpg,,,,,,,,,, +轮叶马先蒿(原亚种),Pedicularis verticillata subsp. verticillata,钟补求,8353,19580702,青海省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/001956.jpg,,,,,,,,,, +轮叶马先蒿(原亚种),Pedicularis verticillata subsp. verticillata,胡孝宏,1825,1973-6 1,四川省,3850,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0127312.jpg,,,,,,,,,, +,Pedicularis verticillata subsp. verticillata,"Rock, J.F.",16540,28-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00386151.jpg,,,,,,,,,, +维氏马先蒿,Pedicularis vialii,北京所横断山队,2826,19810810,云南省,3700~3900,冷杉林下 偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518432.jpg,,,,,,,,,, +维氏马先蒿,Pedicularis vialii,青藏队,13418,19830826,四川省,3400,山坡Abies林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00123350.jpg,,,,,,,,,, +维氏马先蒿,Pedicularis vialii,俞德俊,7538,,云南省 ,0~2800,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0575081.jpg,,,,,,,,,, +堇色马先蒿,Pedicularis violascens,"清水建美,近田文弘等",87,19910721,新疆维吾尔自治区,2000,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467866.jpg,,,,,,,,,, +堇色马先蒿,Pedicularis violascens,V.Saposhnikov,,19020702,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123397.jpg,,,,,,,,,, +瓦氏马先蒿,Pedicularis wallichii,,s.n.,,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01493226.jpg,,,,,,,,,, +瓦氏马先蒿,Pedicularis wallichii,F.Ludlow & G.Sherriff,3387,19370705,,5000,On open grassy hillside,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123405.jpg,,,,,,,,,, +华氏马先蒿,Pedicularis wardii,F.Kingdon Ward,881,19130700,西藏自治区,5000,abies forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032968.jpg,,,,,,,,,, +,Pedicularis wardii,"Kingdon-Ward, Francis",881,27-Jul-13,,,,,,https://image.cvh.ac.cn/files/l/E/E00284042.jpg,,,,,,,,,, +维西马先蒿,Pedicularis weixiensis,北京植物所横断山队,1699,19810719,云南省,3600,山谷亚高山草甸中时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00032967.jpg,,,,,,,,,, +魏氏马先蒿,Pedicularis wilsonii,Wilson,4238,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032966.jpg,,,,,,,,,, +魏氏马先蒿,Pedicularis wilsonii,李惠林教授赠,5569,192206,四川省,1400~1000,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/476814.jpg,,,,,,,,,, +乡城马先蒿,Pedicularis xiangchengensis,青藏队,4891,19810817,四川省,3750,河沟草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432029.jpg,,,,,,,,,, +盐源马先蒿,Pedicularis yanyuanensis,青藏队,12786,19830809,四川省,3900,山坡冷杉林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00032303.jpg,,,,,,,,,, +盐源马先蒿,Pedicularis yanyuanensis,,,18870727,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00237008.jpg,,,,,,,,,, +缘毛季川马先蒿,Pedicularis yui var. ciliata,T.T.Yu,19863,19380810,云南省,4000,alpine grassland,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00032310.jpg,,,,,,,,,, +,Pedicularis yui var. ciliata,"Yü, Tse-tsun",19863,10-Aug-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00284023.jpg,,,,,,,,,, +云南马先蒿,Pedicularis yunnanensis,王汉臣,1106,,云南省,,山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/00123417.jpg,,,,,,,,,, +云南马先蒿,Pedicularis yunnanensis,,1102,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00123413.jpg,,,,,,,,,, +察隅马先蒿,Pedicularis zayuensis,青藏队,73-276,19730621,西藏自治区,3300,山坡灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00032311.jpg,,,,,,,,,, +,Pedicularis zhongdianensis,赵魁义/Zhao Kui-yi,762,19810819,云南省,3300,山坡云南松林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00032313.jpg,,,,,,,,,, +中甸马先蒿,Pedicularis zhongdianensis,方震东,148,19870710,云南,4300,高山草甸灌丛,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008428.jpg,,,,,,,,,, +毛萼单花荠,Pegaeophyton scapiflorum var. pilosicalyx,郭柯,K-55,19900624,青海省,5100,高山流石滩,,无花无果,https://image.cvh.ac.cn/files/l/PE/01469001.jpg,,,,,,,,,, +毛萼单花荠,Pegaeophyton scapiflorum var. pilosicalyx,青藏队植被组,11887,19760707,西藏自治区,5400~5550,高山小沟边石下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01161703.jpg,,,,,,,,,, +,Pegaeophyton scapiflorum var. scapiflorum,"郭柯,郑度",12306,19880805,新疆维吾尔自治区,4400,大坂,高山山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352508.jpg,,,,,,,,,, +,Pegaeophyton scapiflorum var. scapiflorum,"李渤生,郑度",10846,19870729,西藏自治区,5000,河湿地局部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01344911.jpg,,,,,,,,,, +骆驼蓬,Peganum harmala,王忠涛等,233,20700624,新疆维吾尔自治区,950,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02101161.jpg,,,,,,,,,, +骆驼蓬,Peganum harmala,黄河队,48,19540616,甘肃省,1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081921.jpg,,,,,,,,,, +骆驼蓬,Peganum harmala,,153,19580923,,1000,固定沙丘间低地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042461.jpg,,,,,,,,,, +,Peganum multisectum,马骥,940072,19940820,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101238.jpg,,,,,,,,,, +,Peganum multisectum,杨喜林,44,19620523,宁夏回族自治区,,河滩地带,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101236.jpg,,,,,,,,,, +,Peganum multisectum,"吴征镒,陈书坤,杜庆,庐树林",75-756,19750713,新疆维吾尔自治区,3650,河滩沙地路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02101227.jpg,,,,,,,,,, +藤漆,Pegia nitida,高天刚,1734,19980526,云南省,900,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245354.jpg,,,,,,,,,, +藤漆,Pegia nitida,"李渤生,程树志",3993,19830409,西藏自治区,850,半常绿雨林缘树上时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077562.jpg,,,,,,,,,, +藤漆,Pegia nitida,"方鼎,覃德海",78487,19840416,广西壮族自治区,860,石灰山、山谷、阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981679.jpg,,,,,,,,,, +大盖球子草,Peliosanthes macrostegia,236四川任务组,149,19710715,四川省,900,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02087283.jpg,,,,,,,,,, +大盖球子草,Peliosanthes macrostegia,,63263,,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02020521.jpg,,,,,,,,,, +大盖球子草,Peliosanthes macrostegia,,东兴7(4),19731021,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018212.jpg,,,,,,,,,, +匍匐球子草,Peliosanthes sinica,"李渤生,程树志",4721,19830428,西藏自治区,1600,常阔林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01945428.jpg,,,,,,,,,, +匍匐球子草,Peliosanthes sinica,周仕顺,5491,20090510,云南省,1000,河边雨林林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01944920.jpg,,,,,,,,,, +匍匐球子草,Peliosanthes sinica,傅坤俊,5110,19520720,陕西省,1600,山坡崖上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/305117.jpg,,,,,,,,,, +簇花球子草,Peliosanthes teta,"李渤生,程树志",3959,19830408,西藏自治区,1000~650,半常绿雨林下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077554.jpg,,,,,,,,,, +簇花球子草,Peliosanthes teta,,,19660400,广西壮族自治区,500,石灰岩山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017770.jpg,,,,,,,,,, +异被赤车,Pellionia heteroloba,北京植物所横断山队,415,19810603,云南省,2400,水沟边成群落,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032663.jpg,,,,,,,,,, +异被赤车,Pellionia heteroloba,北京队,890335,19890425,广西壮族自治区,600,山沟林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985468.jpg,,,,,,,,,, +异被赤车,Pellionia heteroloba,"韦毅刚,温放",1120,20110401,广东省,,土山林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900699.jpg,,,,,,,,,, +狼尾草,Pennisetum alopecuroides,陈全胜,CF-0002-042,20170820,内蒙古自治区,717,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246864.jpg,,,,,,,,,, +狼尾草,Pennisetum alopecuroides,"老铁山采集队 王小平,杨传九,毕恒涛",528,20080815,辽宁省,,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089783.jpg,,,,,,,,,, +狼尾草,Pennisetum alopecuroides,C.M.Wang & C.Y.Li,W05291,20011021,台湾省,790,on roadside of broadleaf forest semi-shaded site,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088935.jpg,,,,,,,,,, +西藏狼尾草,Pennisetum lanatum,青藏队植被组,4569,19750715,西藏自治区,1850~2000,河谷平地 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01484224.jpg,,,,,,,,,, +西藏狼尾草,Pennisetum lanatum,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-1574,20080922,西藏,3873,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403312.jpg,,,,,,,,,, +长序狼尾草,Pennisetum longissimum,李馨,78386,19580817,四川省,2400,沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01432382.jpg,,,,,,,,,, +长序狼尾草,Pennisetum longissimum,C.W.Wang,83227,19390929,云南省,1700,among bushes border of woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00600735.jpg,,,,,,,,,, +长序狼尾草,Pennisetum longissimum,钟补勤,98,19270930,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00600727.jpg,,,,,,,,,, +陕西狼尾草,Pennisetum shaanxiense,滇西北金沙江队,6529,19630814,云南省,2230,玉米地边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00600822.jpg,,,,,,,,,, +陕西狼尾草,Pennisetum shaanxiense,F.T.Wang,21712,19300000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00600821.jpg,,,,,,,,,, +,Pentapanax caesius,生物所,4513,1974-06-,四川省,2400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0071928.jpg,,,,,,,,,, +,Pentapanax caesius,刘慎谔,21850,1946-12-,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0071930.jpg,,,,,,,,,, +锈毛五叶参,Pentapanax henryi,,2609,19281008,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00942525.jpg,,,,,,,,,, +锈毛五叶参,Pentapanax henryi,"何铸,周子林",13969,19520000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00942511.jpg,,,,,,,,,, +锈毛五叶参,Pentapanax henryi,李洪钧,1346,19571014,湖北省,1300,杂谷边岩石缝中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00942509.jpg,,,,,,,,,, +寄生五叶参,Pentapanax parasiticus,青藏队,4958,19740831,西藏自治区,2200,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00942485.jpg,,,,,,,,,, +寄生五叶参,Pentapanax parasiticus,K.M.Feng,8850,19401123,云南省,,杂林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00942478.jpg,,,,,,,,,, +寄生五叶参,Pentapanax parasiticus,郑,6433,19250800,四川省,2000,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00942473.jpg,,,,,,,,,, +总序五叶参,Pentapanax racemosus,青藏队植被组,4346,19750627,内蒙古自治区,,1700-2000,,无花有果,https://image.cvh.ac.cn/files/l/PE/02061780.jpg,,,,,,,,,, +总序五叶参,Pentapanax racemosus,"X.H.Jin,Y.S.Chen,H.Q.Li etc.",DLJ-ET2084,20080706,云南省,2300,evergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/02041097.jpg,,,,,,,,,, +总序五叶参,Pentapanax racemosus,青藏队补点组,751736,19750828,西藏自治区,2600,林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/00942499.jpg,,,,,,,,,, +,Pentapanax wilsonii,H.T.Tsai,57263,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0071955.jpg,,,,,,,,,, +西南羽叶参,Pentapanax wilsonii,高云东,邓亨宁,黎怀成,THP-KD-4697,20170809,四川省,2700~2800,宋玉村后沟,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251652.jpg,,,,,,,,,, +西南羽叶参,Pentapanax wilsonii,高云东,邓亨宁,黎怀成,THP-KD-4697,20170809,四川,2700~2800,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251653.jpg,,,,,,,,,, +扯根菜,Penthorum chinense,植物资源考察队,D1020,19840821,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869565.jpg,,,,,,,,,, +扯根菜,Penthorum chinense,"Zhu, Chen, Xu,Wang",1867,19990810,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01869561.jpg,,,,,,,,,, +蒙自草胡椒,Peperomia heyneana,"李渤生,程树志",5230,19830624,西藏自治区,1200,半常绿雨林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555327.jpg,,,,,,,,,, +蒙自草胡椒,Peperomia heyneana,王启无,66856,19351000,云南省,2500,under forest rock surface,,有花无果,https://image.cvh.ac.cn/files/l/PE/00124223.jpg,,,,,,,,,, +蒙自草胡椒,Peperomia heyneana,南水北调队,4677,19600815,四川省,1700,山谷 路旁 灌丛下 岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00124208.jpg,,,,,,,,,, +豆瓣绿,Peperomia tetraphylla,生态室高原组,15504,19800911,西藏自治区,2900,林间树上偶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074479.jpg,,,,,,,,,, +豆瓣绿,Peperomia tetraphylla,"万涛,周世良等",1314,20140321,四川省,,山谷 密林,,无花无果,https://image.cvh.ac.cn/files/l/PE/02021896.jpg,,,,,,,,,, +豆瓣绿,Peperomia tetraphylla,红水河植物考察队,1657,19890523,广西壮族自治区,1100,石灰岩灌丛山坡疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980200.jpg,,,,,,,,,, +袋果草,Peracarpa carnosa,邓云飞,10133,19970415,湖南省,1180,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056590.jpg,,,,,,,,,, +袋果草,Peracarpa carnosa,杨国平,425,20040412,云南省,2490,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056588.jpg,,,,,,,,,, +袋果草,Peracarpa carnosa,"张树仁,陈淑荣,朗校安等",1972,20140616,四川省,1920~2300,山谷 山坡 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021684.jpg,,,,,,,,,, +,Periploca calophylla var. calophylla,方鼎,3-1350,19771012,广西壮族自治区,,,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI029417.jpg,,,,,,,,,, +多花青蛇藤,Periploca floribunda,青藏队,7299,19820612,云南省,1600~1700,山坡 路边常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01132961.jpg,,,,,,,,,, +多花青蛇藤,Periploca floribunda,Y.Tsiang,12169,19330000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01025413.jpg,,,,,,,,,, +黑龙骨,Periploca forrestii,"朱大海,王永,尚涛",2481,20031016,四川省,1100,山坡中部林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114735.jpg,,,,,,,,,, +黑龙骨,Periploca forrestii,"唐宇丹,林秦文",2010-132,20100924,西藏自治区,1908,南北向河谷、东坡河边、沙石和棕色土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037114.jpg,,,,,,,,,, +黑龙骨,Periploca forrestii,北京队,897004,19890911,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02009408.jpg,,,,,,,,,, +滇观音草,Peristrophe yunnanensis,王汉臣,2092,19420510,云南省,,半山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01559522.jpg,,,,,,,,,, +滇观音草,Peristrophe yunnanensis,,883,19140326,四川省,0~1960,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0560310.jpg,,,,,,,,,, +滇观音草,Peristrophe yunnanensis,,12279,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0560308.jpg,,,,,,,,,, +小花阔蕊兰,Peristylus affinis,巴山采集队,5143,20110701,四川省,1750,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230199.jpg,,,,,,,,,, +小花阔蕊兰,Peristylus affinis,于胜祥,YSX0061,20100626,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033558.jpg,,,,,,,,,, +小花阔蕊兰,Peristylus affinis,云南考察队,YN-ET 794,20090705,云南省,1100,灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867085.jpg,,,,,,,,,, +条叶阔蕊兰,Peristylus bulleyi,HK kadoorie teaus,1114,20010715,云南省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825337.jpg,,,,,,,,,, +条叶阔蕊兰,Peristylus bulleyi,青藏队横断山队,4193,19810824,四川省,3300,山坡 高山松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01147421.jpg,,,,,,,,,, +长须阔蕊兰,Peristylus calcaratus,Shui Yumin et al.,11087,19990917,云南省,1950,barren slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033194.jpg,,,,,,,,,, +长须阔蕊兰,Peristylus calcaratus,藏东南考察队,SET-ET 1281,20090905,西藏自治区,1500,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01867087.jpg,,,,,,,,,, +凸孔阔蕊兰,Peristylus coeloceras,"张永田,郎楷永",1014,19650728,西藏自治区,3040,山沟灌木丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230249.jpg,,,,,,,,,, +凸孔阔蕊兰,Peristylus coeloceras,"于胜祥,侯元同,张晓霞等",4838,20110802,四川省,,沿途路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033541.jpg,,,,,,,,,, +凸孔阔蕊兰,Peristylus coeloceras,"杨亲二,袁琼",Yangqe2003,20080725,云南省,3300,林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033334.jpg,,,,,,,,,, +西藏阔蕊兰,Peristylus elisabethae,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1461,20130817,西藏自治区,2764,路边 石壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000496.jpg,,,,,,,,,, +西藏阔蕊兰,Peristylus elisabethae,陈家辉,王赟,刘德团等,YangYP-Q-3205,20100916,西藏,3769,灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1394177.jpg,,,,,,,,,, +盘腺阔蕊兰,Peristylus fallax,Jin Xiaohua,9984,20090731,台湾省,600,in mixed forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033382.jpg,,,,,,,,,, +盘腺阔蕊兰,Peristylus fallax,云南考察队,YN-ET 1652,20090717,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867109.jpg,,,,,,,,,, +盘腺阔蕊兰,Peristylus fallax,罗毅波,21,19960605,西藏自治区,3300,山谷 西坡 灌丛边 草丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01526892.jpg,,,,,,,,,, +一掌参,Peristylus forceps,攀枝花苏铁考察队(杨永等),592,20100917,四川省,1968,灌草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033243.jpg,,,,,,,,,, +一掌参,Peristylus forceps,藏南考察队,STET0279,20100713,西藏自治区,3500,hot dry valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867115.jpg,,,,,,,,,, +条唇阔蕊兰,Peristylus forrestii,,3837,19050817,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00728200.jpg,,,,,,,,,, +条唇阔蕊兰,Peristylus forrestii,T.T.Yu,7674,19370812,四川省,2600,margine of woods grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00728169.jpg,,,,,,,,,, +阔蕊兰,Peristylus goodyeroides,金效华,84,20000504,贵州省,1020,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033630.jpg,,,,,,,,,, +阔蕊兰,Peristylus goodyeroides,,8491,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01720703.jpg,,,,,,,,,, +金川阔蕊兰,Peristylus jinchuanicus,北京所横断山队,2746,19810809,云南省,1900,山坡 灌丛中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490237.jpg,,,,,,,,,, +金川阔蕊兰,Peristylus jinchuanicus,李馨,77998,19580701,四川省,2500,阳山草坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432232.jpg,,,,,,,,,, +纤茎阔蕊兰,Peristylus mannii,Jin X.H.,11634,20110927,云南省,2400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033192.jpg,,,,,,,,,, +纤茎阔蕊兰,Peristylus mannii,俞德俊,1543,19320000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00340104.jpg,,,,,,,,,, +纤茎阔蕊兰,Peristylus mannii,,435,18970000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00027290.jpg,,,,,,,,,, +麦穗茅根,Perotis hordeiformis,滇西北金沙江队,6835,19630910,云南省,1400,河滩草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00600830.jpg,,,,,,,,,, +麦穗茅根,Perotis hordeiformis,,3687,19100909,河南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00600828.jpg,,,,,,,,,, +麦穗茅根,Perotis hordeiformis,,14803,19760826,四川省,650,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00600829.jpg,,,,,,,,,, +两色帚菊,Pertya discolor,何廷农,595,19890714,青海省,2000,山沟林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01837354.jpg,,,,,,,,,, +两色帚菊,Pertya discolor,"郎楷永,李良千,费勇",1894,19830619,四川省,2450,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190984.jpg,,,,,,,,,, +两色帚菊,Pertya discolor,王作宾,17190,19530807,宁夏回族自治区,2210,生灌木林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/00606992.jpg,,,,,,,,,, +针叶帚菊,Pertya phylicoides,王金亭 武田义明,330,19860510,西藏自治区,3050,山麓河谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02096525.jpg,,,,,,,,,, +针叶帚菊,Pertya phylicoides,236任务组,5,19720630,四川省,2600,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02085844.jpg,,,,,,,,,, +单花帚菊,Pertya uniflora,西北学院,13,,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607039.jpg,,,,,,,,,, +单花帚菊,Pertya uniflora,T.P.Wang,7232,1937/7/17,甘肃,3200,,shrub,有花无果,https://image.cvh.ac.cn/files/l/WUK/0022853.jpg,,,,,,,,,, +单花帚菊,Pertya uniflora,陈实,2342,1964/8/21,青海,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0296992.jpg,,,,,,,,,, +毛裂蜂斗菜,Petasites tricholobus,"杨红梅,郎校安,邵毅贞等",1415,20140420,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021217.jpg,,,,,,,,,, +毛裂蜂斗菜,Petasites tricholobus,周世顺,6220,20090527,云南省,3600,山顶凹地沼泽地中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017969.jpg,,,,,,,,,, +盐源蜂斗菜,Petasites versipilus,秦仁昌,22425,19290427,云南省,,杂木林内箐边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01711135.jpg,,,,,,,,,, +盐源蜂斗菜,Petasites versipilus,钟补勤,347,19280326,贵州省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01711118.jpg,,,,,,,,,, +盐源蜂斗菜,Petasites versipilus,"四川队,关克俭等",10,19640319,四川省,1020,林下潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01711108.jpg,,,,,,,,,, +萎软石蝴蝶,Petrocosmea flaccida,George Forrest,16859A,19180900,四川省,3333,干山坡或陡崖,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032159.jpg,,,,,,,,,, +萎软石蝴蝶,Petrocosmea flaccida,George Forrest,16859,19180900,,3000,open dry pasture,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032158.jpg,,,,,,,,,, +萎软石蝴蝶,Petrocosmea flaccida,,,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0551285.jpg,,,,,,,,,, +大理石蝴蝶,Petrocosmea forrestii,罗晓中,y-022,19840812,云南省,2300,"常绿阔叶林,疏林中,石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00155435.jpg,,,,,,,,,, +大理石蝴蝶,Petrocosmea forrestii,K.K.Chung,2176,19110807,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0551289.jpg,,,,,,,,,, +显脉石蝴蝶,Petrocosmea nervosa,秦仁昌,24705,19290917,云南省,1900,"杂木林下,石岩上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00155453.jpg,,,,,,,,,, +显脉石蝴蝶,Petrocosmea nervosa,T.T.Yu,1428,19320906,四川省,0~2200,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0551295.jpg,,,,,,,,,, +芷叶前胡,Peucedanum angelicoides,武素功,3482,19591024,四川省,2350~2850,灌丛中,草本直立,有果无花,https://image.cvh.ac.cn/files/l/KUN/0463820.jpg,,,,,,,,,, +,Peucedanum angelicoides,"张挺,亚吉东,张桥蓉,李春晓,张继,李明勤,王关友,王祖繁",11CS3569,20110922,云南省,3137,草坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336815.jpg,,,,,,,,,, +滇西前胡,Peucedanum delavayi,C.W.Wang,66244,19350900,西藏自治区,3400,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756974.jpg,,,,,,,,,, +,Peucedanum delavayi,"Delavay, J.M.",945,1884-8-31,,,,,,https://image.cvh.ac.cn/files/l/P/P02272001.jpg,,,,,,,,,, +镰叶前胡,Peucedanum falcaria,周太炎等,651440,19650824,新疆维吾尔自治区,1900,干旱草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756985.jpg,,,,,,,,,, +镰叶前胡,Peucedanum falcaria,,3452,,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0440485.jpg,,,,,,,,,, +异叶前胡,Peucedanum franchetii,王年鹤 张成宁,92027,19920904,云南省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00043749.jpg,,,,,,,,,, +异叶前胡,Peucedanum franchetii,溥发鼎、曹亚玲等,161,Oct-83,四川省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093885.jpg,,,,,,,,,, +细裂前胡,Peucedanum macilentum,"张永田,郞楷永",813,19850721,西藏自治区,2100,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00757125.jpg,,,,,,,,,, +细裂前胡,Peucedanum macilentum,T.T.Yü,12048,19370708,云南省,3300,rocky hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/00757124.jpg,,,,,,,,,, +细裂前胡,Peucedanum macilentum,Harry Smith,11765,19340904,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00757122.jpg,,,,,,,,,, +矮前胡,Peucedanum nanum,傅国勋,1377,19600000,西藏自治区,3800,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00757147.jpg,,,,,,,,,, +矮前胡,Peucedanum nanum,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201749,20200815,西藏,3747,荒坡上,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1508955.jpg,,,,,,,,,, +红前胡,Peucedanum rubricaule,赵锡光,30274,19390625,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00757217.jpg,,,,,,,,,, +红前胡,Peucedanum rubricaule,钟补勤,882,19280716,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00757214.jpg,,,,,,,,,, +松潘前胡,Peucedanum songpanense,溥发鼎等,56,Oct-83,四川省,2800,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172290.jpg,,,,,,,,,, +长前胡,Peucedanum turgeniifolium,李馨,78325,19580804,四川省,2800,山腰草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00757336.jpg,,,,,,,,,, +长前胡,Peucedanum turgeniifolium,"张永田,郞楷永",1235,19650802,西藏自治区,3100,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00757325.jpg,,,,,,,,,, +紫茎前胡,Peucedanum violaceum,PE西藏队,PE6747,20170916,西藏自治区,3013,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333615.jpg,,,,,,,,,, +紫茎前胡,Peucedanum violaceum,魏来、何毅,BNUXZ2016388,20160724,西藏,3750,林下,,,https://image.cvh.ac.cn/files/l/BNU/0028102.jpg,,,,,,,,,, +扁序重寄生,Phacellaria compressa,陈伟烈,15063,19800912,西藏自治区,1100,缠绕在大荨麻上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491325.jpg,,,,,,,,,, +扁序重寄生,Phacellaria compressa,中苏云南联合考察团,3997,19560000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00890460.jpg,,,,,,,,,, +显子草,Phaenosperma globosa,巴山采集队,3360,20100727,陕西省,602,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066339.jpg,,,,,,,,,, +显子草,Phaenosperma globosa,"洪广渝,王壮",3243,20100721,四川省,1026,山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066338.jpg,,,,,,,,,, +显子草,Phaenosperma globosa,川黔队,2191,19561019,贵州省,1150,阴处 山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049098.jpg,,,,,,,,,, +喀什藏芥,Phaeonychium kashgaricum,陈绍煜,780406,19780512,新疆维吾尔自治区,2200,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01161713.jpg,,,,,,,,,, +藏芥,Phaeonychium parryoides,"李渤生,李辉,阳艺",13963,19900924,西藏自治区,4400~4500,高山 草原中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487009.jpg,,,,,,,,,, +藏芥,Phaeonychium parryoides,杨竞生,90-597,1990-09-,西藏省,5000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0137386.jpg,,,,,,,,,, +,Phaeonychium parryoides,李晓东,刘帆,张景博,徐凌翔,LiJ0017,20080831,甘肃,3892,高山草甸,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1236367.jpg,,,,,,,,,, +柔毛藏芥,Phaeonychium villosum,周立华,126,19660624,青海省,4500,高山草甸,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01161716.jpg,,,,,,,,,, +柔毛藏芥,Phaeonychium villosum,洮河队,3306,19570610,甘肃省,3550,山坡,荫处,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0499723.jpg,,,,,,,,,, +,Phaius delavayi,王作宾,14358,19510714,甘肃省,3300,生冷杉林内腐朽树干上,上有腐植土及苔藓,,有花无果,https://image.cvh.ac.cn/files/l/PE/00850308.jpg,,,,,,,,,, +少花鹤顶兰,Phaius delavayi,鞠文彬,陈德奎,陈金元,AZH01583,20170830,四川省,1774,溪边林下,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0235229.jpg,,,,,,,,,, +,Phaius delavayi,"Delavay, J.M.",4067,1889-9-4,,,,,,https://image.cvh.ac.cn/files/l/P/P00378881.jpg,,,,,,,,,, +黄花鹤顶兰,Phaius flavus,HK kadoorie PT,3380,20020401,云南省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097879.jpg,,,,,,,,,, +黄花鹤顶兰,Phaius flavus,HK kadoorie PT,3320,20020424,广西壮族自治区,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097597.jpg,,,,,,,,,, +紫花鹤顶兰,Phaius mishmensis,Xiaohua Jin,14868,20150120,云南省,,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233126.jpg,,,,,,,,,, +紫花鹤顶兰,Phaius mishmensis,Jin Weitao,13475,20121001,广西壮族自治区,1100~1230,Subtropical evergreen forest,,无花无果,https://image.cvh.ac.cn/files/l/PE/02025161.jpg,,,,,,,,,, +鹤顶兰,Phaius tancarvilleae,叶康,YK-18201,20180318,海南,,路边沟旁山坡脚下,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0151366.jpg,,,,,,,,,, +鹤顶兰,Phaius tancarvilleae,张寿洲,庄雪影等人,SCAUF1147,20041109,广东省,,林下,草本,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00058878.jpg,,,,,,,,,, +鹤顶兰,Phaius tancarvilleae,屏边县中药资源普查队,5325231316,20120507,云南省,660,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0025225.jpg,,,,,,,,,, +,Phaius wallichii,A. Henry Clarke No. 38502,13813,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00029145.jpg,,,,,,,,,, +,Phalaris arundinacea,秦仁昌,1878,19560813,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230386.jpg,,,,,,,,,, +,Phalaris arundinacea,W.Heise,,20080619,,200,margin of the Wisla River,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089184.jpg,,,,,,,,,, +,Phalaris arundinacea,温带森林组,405,19620729,吉林省,1600,阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073205.jpg,,,,,,,,,, +乳毛费菜,Phedimus aizoon var. scabrus,秦岭植物资源调查队,224,20160709,陕西省,1500,山路旁,岩石缝,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00593736.jpg,,,,,,,,,, +乳毛费菜,Phedimus aizoon var. scabrus,"朱长山,李世晋,侯学良,朱世新,李家美,张云霞,李景照,张若鹏",14080691,20140806,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU063745.jpg,,,,,,,,,, +乳毛费菜,Phedimus aizoon var. scabrus,孙田喜,152502190630031LY,20190630,内蒙古,1470,,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IATM/IATM0004403.jpg,,,,,,,,,, +秃叶黄檗,Phellodendron chinense var. glabriusculum,,790076,19791011,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02247821.jpg,,,,,,,,,, +秃叶黄檗,Phellodendron chinense var. glabriusculum,北京队,2703,19880708,湖南省,1000,公路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01365843.jpg,,,,,,,,,, +秃叶黄檗,Phellodendron chinense var. glabriusculum,武陵山考察队,1654,19880726,贵州省,750,路边栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/01365839.jpg,,,,,,,,,, +云南山梅花,Philadelphus delavayi var. delavayi,海仙,HX2007-97,20070621,云南省,3378,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005466.jpg,,,,,,,,,, +云南山梅花(原变种),Philadelphus delavayi var. delavayi,白洪兵、李红,533324180519278LY,20180519,云南,2248.6,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009856.jpg,,,,,,,,,, +,Philadelphus delavayi var. delavayi,"D. E. Boufford, S. L. Kelley, R. H. Ree & S. K. Wu",29835,20000731,西藏,2510,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0246747.jpg,,,,,,,,,, +黑萼山梅花,Philadelphus delavayi var. melanocalyx,西藏队,87,19751104,西藏自治区,2100,山坡阳处灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087757.jpg,,,,,,,,,, +黑萼山梅花,Philadelphus delavayi var. melanocalyx,K.M.Feng,1420,19390703,云南省,,On open chickets of slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/00864659.jpg,,,,,,,,,, +,Philadelphus henryi var. henryi,徐洲锋,赵旻骏,李富贵,上官法智,3764,20120614,云南省 ,2362,forest margin,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1251690.jpg,,,,,,,,,, +滇南山梅花,Philadelphus henryi var. henryi,弥渡普查队,5329251083,20120719,云南省,2026,,灌木,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0008172.jpg,,,,,,,,,, +山梅花,Philadelphus incanus,巴山采集队,5926,20120703,四川省,1220~1340,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059948.jpg,,,,,,,,,, +山梅花,Philadelphus incanus,云台山采集队,144,20080922,河南省,,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036579.jpg,,,,,,,,,, +甘肃山梅花,Philadelphus kansuensis,万涛等,FSB-788,20130709,四川省,,沿路,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021353.jpg,,,,,,,,,, +甘肃山梅花,Philadelphus kansuensis,K.S.Hao,Hao680,19300626,甘肃省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00812104.jpg,,,,,,,,,, +泸水山梅花,Philadelphus lushuiensis,北京植物所横断山队,2,19810524,云南省,2350,山坡 公路边 灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00462198.jpg,,,,,,,,,, +太平花,Philadelphus pekinensis,孔冬梅,k0181,20140706,山西省,878,阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036739.jpg,,,,,,,,,, +太平花,Philadelphus pekinensis,"石硕,梁文达",SZ4251,20141006,河北省,1120,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02031324.jpg,,,,,,,,,, +太平花,Philadelphus pekinensis,昌平队,90,20000811,北京市,500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026653.jpg,,,,,,,,,, +紫萼山梅花,Philadelphus purpurascens var. purpurascens,"D.E Boufford,L.Y.Chen,X.H.Li etc.",42700,20100808,四川省,3750,extensive meadow and adjacent slopes along rd.steep slopes,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036470.jpg,,,,,,,,,, +美丽山梅花,Philadelphus purpurascens var. venustus,T.T.Yu,6053,19370610,四川省,2800,Under woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00864737.jpg,,,,,,,,,, +美丽山梅花,Philadelphus purpurascens var. venustus,T.T.Yu,9922,19370829,云南省,3240,Under woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/00812674.jpg,,,,,,,,,, +城口山梅花,Philadelphus subcanus var. magdalenae,聂敏祥、李启和,1043,19590724,湖北省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0302489.jpg,,,,,,,,,, +城口山梅花,Philadelphus subcanus var. magdalenae,杨光辉,58883,19580718,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0302490.jpg,,,,,,,,,, +绒毛山梅花,Philadelphus tomentosus,,904,19800914,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00864160.jpg,,,,,,,,,, +高山梯牧草,Phleum alpinum,秦仁昌,1896,19560817,新疆维吾尔自治区,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309042.jpg,,,,,,,,,, +高山梯牧草,Phleum alpinum,刘学忠,443,19590828,北京市,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02087154.jpg,,,,,,,,,, +高山梯牧草,Phleum alpinum,Anonymous,971,19630801,吉林省,1850,疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073206.jpg,,,,,,,,,, +鬼蜡烛,Phleum paniculatum,牧草组,292,19580801,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827387.jpg,,,,,,,,,, +鬼蜡烛,Phleum paniculatum,白水江考察队,24,20060625,甘肃省,2000,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01825006.jpg,,,,,,,,,, +鬼蜡烛,Phleum paniculatum,刘淼等,A60039,20060515,安徽省,200,生于路边草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01798088.jpg,,,,,,,,,, +梯牧草,Phleum pratense,傅德志,87-1585,19870801,四川省,1800,山坡草丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929989.jpg,,,,,,,,,, +梯牧草,Phleum pratense,Ulla Hadding,s.n.,19310804,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01922049.jpg,,,,,,,,,, +梯牧草,Phleum pratense,巴山采集队,2144,20080725,重庆市,2312,山坡草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851053.jpg,,,,,,,,,, +火焰花,Phlogacanthus curviflorus,C.W.Wang,76135,19360700,云南省,1300,in mixed forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079524.jpg,,,,,,,,,, +火焰花,Phlogacanthus curviflorus,中越考察队,2412,19650218,,460,石灰岩老林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01619372.jpg,,,,,,,,,, +毛脉火焰花,Phlogacanthus pubinervius,王洪,4544,20000316,云南省,1600,山地疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01558507.jpg,,,,,,,,,, +毛脉火焰花,Phlogacanthus pubinervius,百色队,1928,19510116,广西壮族自治区,600,岩石上阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01558503.jpg,,,,,,,,,, +毛脉火焰花,Phlogacanthus pubinervius,王功范,1-1006,20041109,贵州省,750,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01558502.jpg,,,,,,,,,, +高山糙苏,Phlomis alpina,新疆综合考察队,10731,19570721,新疆维吾尔自治区,1800,林下阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00835371.jpg,,,,,,,,,, +高山糙苏,Phlomis alpina,张挺,杨赵平,焦培培,张权,杨力,08CS491,20080727,新疆,2241,云杉林缘灌草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1389396.jpg,,,,,,,,,, +高山糙苏,Phlomis alpina,,646,19840721,,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0027685.jpg,,,,,,,,,, +沧江糙苏,Phlomis ambigua,彭华课题组,H-滇兰坪-Z1419,20100730,云南省,2800,路边林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1204456.jpg,,,,,,,,,, +沧江糙苏,Phlomis ambigua,宁强小组,286,19590711,陕西省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/71666.jpg,,,,,,,,,, +,Phlomis ambigua,"Handel-Mazzetti, Heinrich",7942,7-Sep-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00284165.jpg,,,,,,,,,, +,Phlomis atropurpurea f. pallidior,T.T.Yu,12560,19370801,云南省,3100,Field side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00835391.jpg,,,,,,,,,, +,Phlomis atropurpurea f. pilosa,T.T.Yu,11962,19370706,云南省,3000,Amoung forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00835389.jpg,,,,,,,,,, +假秦艽白花变型,Phlomis betonicoides f. alba,冯国楣/K.M.Feng,1245,19390609,云南省,,On open hill side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00835413.jpg,,,,,,,,,, +乾精菜,Phlomis congesta,刘恩德等,2641,20100809,四川省,30~50,Under Abies and Picea forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01916225.jpg,,,,,,,,,, +乾精菜,Phlomis congesta,张廷,蔡杰,袁明等,09CS1518,20090922,西藏,3025,山坡开阔草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1389413.jpg,,,,,,,,,, +乾精菜,Phlomis congesta,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13933,20161016,四川,3287,路边灌草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1459059.jpg,,,,,,,,,, +渐光糙苏,Phlomis dentosa var. glabrescens,,7178,19590828,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00835484.jpg,,,,,,,,,, +渐光糙苏,Phlomis dentosa var. glabrescens,黄土队(晋),1889,1983/7/26,山西省,1400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0447671.jpg,,,,,,,,,, +裂唇糙苏,Phlomis fimbriata,D.E.Boufford et al,35319,20060706,云南省,3280,Edge of seepage,,有花有果,https://image.cvh.ac.cn/files/l/PE/01884181.jpg,,,,,,,,,, +裂唇糙苏,Phlomis fimbriata,青藏队,10257,19820909,西藏自治区,4000,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/219517.jpg,,,,,,,,,, +苍山糙苏,Phlomis forrestii,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET3394,20080720,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328229.jpg,,,,,,,,,, +苍山糙苏,Phlomis forrestii,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET2828,20080715,云南省,3200,alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328230.jpg,,,,,,,,,, +大理糙苏,Phlomis franchetiana,FLPH Tibet Expedition,152692,20150911,四川省,3650,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02284536.jpg,,,,,,,,,, +大理糙苏,Phlomis franchetiana,"Jin Xh,Wang LS Wang Q et al.",ST0586,20130719,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01968222.jpg,,,,,,,,,, +丽江糙苏,Phlomis likiangensis,秦仁昌/R.C.Ching,20873,19390704,云南省,,On open pastur,,有花无果,https://image.cvh.ac.cn/files/l/PE/00835508.jpg,,,,,,,,,, +丽江糙苏,Phlomis likiangensis,,182,19800616,四川,2900,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717305700.jpg,,,,,,,,,, +长萼糙苏,Phlomis longicalyx,H.T.Tsai,59720,19331008,云南省,3650,In the bamboo thicket,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00835510.jpg,,,,,,,,,, +萝卜秦艽,Phlomis medicinalis,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0082,20130802,西藏自治区,3560,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02001037.jpg,,,,,,,,,, +萝卜秦艽,Phlomis medicinalis,赵清盛,1015,19890801,四川省,3500,河边灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01480942.jpg,,,,,,,,,, +大花糙苏,Phlomis megalantha,58年秦岭队,10475,19580709,陕西省,,阳处 密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811718.jpg,,,,,,,,,, +大花糙苏,Phlomis megalantha,,9034,19750625,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689478.jpg,,,,,,,,,, +黑花糙苏,Phlomis melanantha,王强,W12016,20120701,云南省,3200,溪边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328226.jpg,,,,,,,,,, +黑花糙苏,Phlomis melanantha,,H-18,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00923562.jpg,,,,,,,,,, +米林糙苏,Phlomis milingensis,PE-西藏队,1455,20120910,西藏自治区,3426~3970,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01877950.jpg,,,,,,,,,, +米林糙苏,Phlomis milingensis,王辰,,20110623,西藏,,草甸,,,https://image.cvh.ac.cn/files/l/BNU/0011897.jpg,,,,,,,,,, +木里糙苏,Phlomis muliensis,D.E.Boufford et al,35469,20060730,四川省,2450~2575,on slopes in shade of shrubs.,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883901.jpg,,,,,,,,,, +木里糙苏,Phlomis muliensis,康藏植物考察队(Kham Expedition),10-2286,20100819,西藏自治区,2500,干热河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01875737.jpg,,,,,,,,,, +聂拉木糙苏,Phlomis nyalamensis,扎西次仁,ZhongY054,20080728,西藏,3270,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1389439.jpg,,,,,,,,,, +,Phlomis oreophila var. oreophila,"清水建美,近田文弘等",372,19910730,新疆维吾尔自治区,2850,左侧谷地上游,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467834.jpg,,,,,,,,,, +美观糙苏,Phlomis ornata,"J.I.Jeon,H.S.Lee,H.J.Eom,Y.J.Park et B.Liu",SI1349,20100810,四川省,3418,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101666.jpg,,,,,,,,,, +美观糙苏,Phlomis ornata,T.T.Yu,13450,19370926,云南省,3200,Margin of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00835802.jpg,,,,,,,,,, +假轮伏糙苏,Phlomis pararotata,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET3341,20080720,西藏自治区,3600,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328219.jpg,,,,,,,,,, +假轮伏糙苏,Phlomis pararotata,H.T.Tsai,58080,19340820,云南省,4000,on the top of pi-lo shan,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00835718.jpg,,,,,,,,,, +裂萼糙苏,Phlomis ruptilis,集体,4041,19970722,云南省,3300,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1268174.jpg,,,,,,,,,, +裂萼糙苏,Phlomis ruptilis,谭少林,YLDP233C,20140831,云南,,无,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1447155.jpg,,,,,,,,,, +刺毛糙苏,Phlomis setifera,陈又生等,773,20111119,西藏自治区,3360,山谷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011144.jpg,,,,,,,,,, +刺毛糙苏,Phlomis setifera,Harry Smith,12102,19340912,四川省,3800,In ailva primaeva abitina,,有花无果,https://image.cvh.ac.cn/files/l/PE/00835812.jpg,,,,,,,,,, +糙毛糙苏,Phlomis strigosa,,929,19750809,西藏自治区,3800,N071,,有花有果,https://image.cvh.ac.cn/files/l/PE/00835814.jpg,,,,,,,,,, +糙毛糙苏,Phlomis strigosa,秦仁昌,23428,19290729,云南省,,草坝,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00835777.jpg,,,,,,,,,, +糙毛糙苏,Phlomis strigosa,杨青松,星耀武,苏涛,ZhouZK-07ZX-0377,20080915,云南,3214,高山灌丛草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1389462.jpg,,,,,,,,,, +毛萼,Phlomis tatsienensis var. hirticalyx,秦仁昌,23424,19290729,云南省,,草坝,,有花有果,https://image.cvh.ac.cn/files/l/PE/00832338.jpg,,,,,,,,,, +毛盔,Phlomis tibetica var. wardii,王启无,65529,19350800,西藏自治区,3600,cley slope on top of mt,,有花有果,https://image.cvh.ac.cn/files/l/PE/00835913.jpg,,,,,,,,,, +毛盔西藏糙苏,Phlomis tibetica var. wardii,C.W.Wang,65529,19350800,云南省 ,3600,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00224881.jpg,,,,,,,,,, +南方,Phlomis umbrosa var. australis,赵常明等,EX1630,20080808,湖北省,1550,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989720.jpg,,,,,,,,,, +南方,Phlomis umbrosa var. australis,D. E. Boufford et al.,35863,20060806,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913983.jpg,,,,,,,,,, +南方,Phlomis umbrosa var. australis,刘正宇,180382,20070928,重庆市,1650,山地杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868384.jpg,,,,,,,,,, +糙苏(原变种),Phlomis umbrosa var. umbrosa,谢登峰、成瑞渝,2028073,20190923,四川,4554,,,有花有果,https://image.cvh.ac.cn/files/l/SZ/02028073.jpg,,,,,,,,,, +糙苏,Phlomis umbrosa var. umbrosa,陈蓓蓓,20181601020,201707,山西,,,,无花有果,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0010343.jpg,,,,,,,,,, +螃蟹甲,Phlomis younghusbandii,PE西藏队,PE5396,20170828,西藏自治区,4516,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02331154.jpg,,,,,,,,,, +山楠,Phoebe chinensis,,541,19730718,西藏自治区,2400,常绿林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02041367.jpg,,,,,,,,,, +山楠,Phoebe chinensis,巴山采集队,5286,20110703,四川省,900,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872843.jpg,,,,,,,,,, +山楠,Phoebe chinensis,周仕顺,2620,20050416,云南省,1500,石灰山,,无花有果,https://image.cvh.ac.cn/files/l/PE/01520178.jpg,,,,,,,,,, +竹叶楠,Phoebe faberi,"张树仁,陈淑荣,朗校安等",1834,20140612,四川省,1219,山坡 林下 沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021249.jpg,,,,,,,,,, +竹叶楠,Phoebe faberi,,1993a,19430216,贵州省,900,山谷 石灰岩土,,无花无果,https://image.cvh.ac.cn/files/l/PE/01600603.jpg,,,,,,,,,, +竹叶楠,Phoebe faberi,周丰杰,227,20040624,湖南省,650,沟谷两旁,山地红壤,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01520151.jpg,,,,,,,,,, +长毛楠,Phoebe forrestii,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",2530,20021111,云南省,2570,林(中)下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100097.jpg,,,,,,,,,, +长毛楠,Phoebe forrestii,,589,19730725,西藏自治区,,常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00837009.jpg,,,,,,,,,, +雅砻江楠,Phoebe legendrei,攀枝花苏铁考察队,213,20100711,四川省,2100,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869002.jpg,,,,,,,,,, +雅砻江楠,Phoebe legendrei,青藏队,748,19810608,云南省,2000,龙潭边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00698091.jpg,,,,,,,,,, +墨脱楠,Phoebe motuonan,青藏队,74-4716,19740911,西藏自治区,1720,山坡阔叶林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/01293969.jpg,,,,,,,,,, +节茎石仙桃,Pholidota articulata,"Jin Xiaohua,Jin Weitao",14436,20140803,四川省,2000,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233137.jpg,,,,,,,,,, +节茎石仙桃,Pholidota articulata,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T212,20160915,西藏自治区,1524,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233102.jpg,,,,,,,,,, +节茎石仙桃,Pholidota articulata,中苏队,9702,19570423,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230206.jpg,,,,,,,,,, +石仙桃,Pholidota chinensis,"刘演,于胜祥等",H0384,20030729,广西壮族自治区,350,山坡疏林红壤,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230214.jpg,,,,,,,,,, +石仙桃,Pholidota chinensis,HK kadoorie PT,3378,20020427,云南省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098027.jpg,,,,,,,,,, +宿苞石仙桃,Pholidota imbricata,林秦文,2013-263,20130602,云南省,2300,寺庙边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02030604.jpg,,,,,,,,,, +宿苞石仙桃,Pholidota imbricata,,8500,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01720721.jpg,,,,,,,,,, +宿苞石仙桃,Pholidota imbricata,"高信芬,彭玉兰,孙庚",3916,20020925,四川省,1300,坡地灌丛树上附生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01517680.jpg,,,,,,,,,, +尖叶石仙桃,Pholidota missionariorum,覃海宁等,473,19980412,广西壮族自治区,1100,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01989221.jpg,,,,,,,,,, +尖叶石仙桃,Pholidota missionariorum,Yu Shengxiang,4231,20101116,云南省,1100,under evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01914682.jpg,,,,,,,,,, +尖叶石仙桃,Pholidota missionariorum,金效华,367,20000800,贵州省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01866749.jpg,,,,,,,,,, +云南石仙桃,Pholidota yunnanensis,HK kadoorie PT,3375,20020427,云南省,1280,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098005.jpg,,,,,,,,,, +云南石仙桃,Pholidota yunnanensis,川黔队,2161,19561015,贵州省,1150,阴处山坡疏密林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072364.jpg,,,,,,,,,, +云南石仙桃,Pholidota yunnanensis,中植联广西队,1694,20080629,广西壮族自治区,1000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033443.jpg,,,,,,,,,, +中华石楠,Photinia beauverdiana,唐,CZ-35(2004-2883,20041006,湖南省,1200,湿润山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086870.jpg,,,,,,,,,, +中华石楠,Photinia beauverdiana,巴山采集队,5505,20110711,四川省,1520,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872739.jpg,,,,,,,,,, +中华石楠,Photinia beauverdiana,S. K. Wu et al.,3900,19961010,云南省,1800,Under dense forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01863661.jpg,,,,,,,,,, +光叶石楠,Photinia glabra,"刘彬彬,张宏伟,楼炉焕",3119,20170813,浙江省,724,Roadsides,,无花有果,https://image.cvh.ac.cn/files/l/PE/02108437.jpg,,,,,,,,,, +光叶石楠,Photinia glabra,,582,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083753.jpg,,,,,,,,,, +光叶石楠,Photinia glabra,刘彬彬,P1901-6,20140419,广西壮族自治区,1082,山坡杂木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080468.jpg,,,,,,,,,, +球花石楠,Photinia glomerata,"Li Heng,Yang Shixiong,Lei Ligong etc.",1437,20030415,云南省,2640,次生松栎林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090647.jpg,,,,,,,,,, +球花石楠,Photinia glomerata,攀枝花苏铁考察队,316,20100715,四川省,2186,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863483.jpg,,,,,,,,,, +球花石楠,Photinia glomerata,罗仲春,419,19790818,湖南省,600,路旁隙地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01499831.jpg,,,,,,,,,, +全缘石楠,Photinia integrifolia,"李渤生,程树志,倪志诚",3796,19830525,西藏自治区,2200,常绿阔叶林中偶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074814.jpg,,,,,,,,,, +全缘石楠,Photinia integrifolia,尹志坚等,1054,20090713,云南省,2600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902407.jpg,,,,,,,,,, +倒卵叶石楠,Photinia lasiogyna,张寿洲等,1119,20130927,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01990298.jpg,,,,,,,,,, +倒卵叶石楠,Photinia lasiogyna,王洪,3666,20000408,云南省,1300,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01439780.jpg,,,,,,,,,, +大叶石楠,Photinia megaphylla,"李渤生,程树志",1987,19821202,西藏自治区,2200~2300,常绿阔叶林下常见乔木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074565.jpg,,,,,,,,,, +大叶石楠,Photinia megaphylla,"刘成, 亚吉东",18CS17258,20181123,西藏,1626,次生林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487462.jpg,,,,,,,,,, +刺叶石楠,Photinia prionophylla,陈家瑞,92433,19921004,云南省,2050,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01498398.jpg,,,,,,,,,, +刺叶石楠,Photinia prionophylla,四川省植被调查队,2298,19730704,四川省,3200,山坡灌丛内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01498395.jpg,,,,,,,,,, +,Photinia serratifolia,JW Shao邵剑文,2014392s,20140924,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109078.jpg,,,,,,,,,, +,Photinia serratifolia,"刘彬彬,张宏伟,楼炉焕",2887,20170810,浙江省,762,"Riversides,in the valley,secondary forests",,无花无果,https://image.cvh.ac.cn/files/l/PE/02108425.jpg,,,,,,,,,, +,Photinia serratifolia,刘彬彬,1926,20140522,福建省,403,路边乔灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02071524.jpg,,,,,,,,,, +,Phragmites australis,陈全胜,CF-0002-046,20170820,内蒙古自治区,717,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247260.jpg,,,,,,,,,, +,Phragmites australis,"老铁山采集队 王小平,孙立新",559,20080910,辽宁省,,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089798.jpg,,,,,,,,,, +,Phragmites australis,"Swelankomo,N.",69,20040330,,1088,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089370.jpg,,,,,,,,,, +尖苞冬叶,Phrynium placentarium,北京队,896847,19890909,广西壮族自治区,,河,,无花有果,https://image.cvh.ac.cn/files/l/PE/02018497.jpg,,,,,,,,,, +尖苞冬叶,Phrynium placentarium,,33470,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00085612.jpg,,,,,,,,,, +尖苞冬叶,Phrynium placentarium,中苏队,3179,19560529,云南省,450,阴处 沟边 密林中 潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00085609.jpg,,,,,,,,,, +松蒿,Phtheirospermum japonicum,周口店考察队,124,20080927,北京市,140,草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112100.jpg,,,,,,,,,, +松蒿,Phtheirospermum japonicum,"川西队,关克俭,王文采等",2850,19630902,四川省,1700,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087811.jpg,,,,,,,,,, +松蒿,Phtheirospermum japonicum,K.-H.Kim,201123-0127,20110908,,142,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043154.jpg,,,,,,,,,, +细裂叶松蒿,Phtheirospermum tenuisectum,PE西藏队,PE6731,20170916,西藏自治区,3568,干山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330817.jpg,,,,,,,,,, +细裂叶松蒿,Phtheirospermum tenuisectum,D.E.Boufford et al,42135,20200721,云南省,2520~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101857.jpg,,,,,,,,,, +细裂叶松蒿,Phtheirospermum tenuisectum,"川西队,关克俭,王文采等",694,19630718,四川省,3500,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087821.jpg,,,,,,,,,, +过江藤,Phyla nodiflora,贵州队 张志松 张永田,2791,19600517,贵州省,500,河沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241593.jpg,,,,,,,,,, +过江藤,Phyla nodiflora,李荫昆,P01165,19570512,广西壮族自治区,,旱田中 山谷 阳处 少数 丛生,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241591.jpg,,,,,,,,,, +过江藤,Phyla nodiflora,刘正宇,183263,20080728,四川省,180,江边水湿滩涂草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241588.jpg,,,,,,,,,, +大叶熊巴掌,Phyllagathis longiradiosa,中植联广西队,1615,20080627,广西壮族自治区,,石灰岩石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108645.jpg,,,,,,,,,, +大叶熊巴掌,Phyllagathis longiradiosa,中苏联合云南考察团,2785,19560000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932414.jpg,,,,,,,,,, +,Phyllanthus clarkei,李渤生等,13192,19900828,西藏自治区,,乔松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803432.jpg,,,,,,,,,, +,Phyllanthus clarkei,王洪,6643,20021024,广西壮族自治区,900,石灰山,,无花有果,https://image.cvh.ac.cn/files/l/PE/01680907.jpg,,,,,,,,,, +,Phyllanthus clarkei,谭仕兴,318,20050325,贵州省,950,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01680437.jpg,,,,,,,,,, +余甘子,Phyllanthus emblica,Levine & Kwok,941,19170530,广东省,800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239809.jpg,,,,,,,,,, +余甘子,Phyllanthus emblica,方文培,9547,19301104,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239810.jpg,,,,,,,,,, +,Phyllanthus flexuosus,李盛余,11560,19601101,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239802.jpg,,,,,,,,,, +,Phyllanthus flexuosus,云台山采集队,105,20080922,河南省,,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033839.jpg,,,,,,,,,, +,Phyllanthus flexuosus,T.Miyazaki,505112,20050531,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983670.jpg,,,,,,,,,, +,Phyllanthus forrestii,刘慎谔,22306,19461025,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01007807.jpg,,,,,,,,,, +,Phyllanthus forrestii,,外467,19210529,湖北省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01007795.jpg,,,,,,,,,, +青灰叶下珠,Phyllanthus glaucus,岳俊三等,1121,19620604,江西省,700,山谷林下灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240350.jpg,,,,,,,,,, +青灰叶下珠,Phyllanthus glaucus,南药组,64,19700704,浙江省,,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240351.jpg,,,,,,,,,, +青灰叶下珠,Phyllanthus glaucus,夏江林,263,19950627,湖南省,400,山地黄土,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239888.jpg,,,,,,,,,, +,Phyllanthus tsarongensis,青藏队,7715,19820627,西藏自治区,1800,怒江边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01128103.jpg,,,,,,,,,, +,Phyllanthus tsarongensis,青藏队,13391,19830825,四川省,1900,雅砻江边 灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01128102.jpg,,,,,,,,,, +叶下珠,Phyllanthus urinaria,周仕顺,6305,20090625,云南省,1000,沟谷箐边热带雨林中水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239611.jpg,,,,,,,,,, +叶下珠,Phyllanthus urinaria,赣南采集队,264,20071112,江西省,200,山脚林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239609.jpg,,,,,,,,,, +叶下珠,Phyllanthus urinaria,于胜祥,YSX0323,20101005,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239607.jpg,,,,,,,,,, +,Phyllolobium balfourianum,"张挺,郭永杰,刘成等",10CS2177,20100801,云南省,3152,"Alpine pasture grazed by livestock. Growing with Potentilla, Polygonum, Pedicularis.",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1324030.jpg,,,,,,,,,, +长小苞膨果豆,Phyllolobium balfourianum,余奇、熊先华、李琳霖,THP-KD-3851,20170806,四川,3747-3899,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241435.jpg,,,,,,,,,, +,Phyllolobium chinense,"牛玉璐, 王晓亮, 赵二涛",NiuYL687,20181003,河北,650,温带低山灌丛山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445957.jpg,,,,,,,,,, +蔓黄芪,Phyllolobium chinense,张成,Zhang868,20210720,陕西,,林缘,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0053063.jpg,,,,,,,,,, +背扁膨果豆,Phyllolobium chinense,孙阎;吕军;顾小琳,SunY579,20200923,黑龙江,360,林缘,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1550046.jpg,,,,,,,,,, +,Phyllolobium donianum,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1936,20130823,西藏自治区,3350,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992292.jpg,,,,,,,,,, +,Phyllolobium flavovirens,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191374,20190919,云南,2648,亚热带,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484159.jpg,,,,,,,,,, +,Phyllolobium pastorium,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191386,20190920,云南,3496,亚热带针阔混交林,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484590.jpg,,,,,,,,,, +,Phyllolobium pastorium,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-148-B20,20190825,西藏,4161,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261273.jpg,,,,,,,,,, +,Phyllolobium pastorium,胡君、李丽、罗垚、蒋洪,SC-a-174-B17,20190915,四川,3633,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261281.jpg,,,,,,,,,, +?乡城膨果豆,Phyllolobium sanbilingense,杨文光,DT7168,20190725,云南,3108,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1513912.jpg,,,,,,,,,, +,Phyllolobium tingriense,"张挺, 刘成, 亚吉东",18CS17692,20180916,西藏,3743,林缘路边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484536.jpg,,,,,,,,,, +,Phyllolobium tingriense,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191367,20190919,云南,3044,亚热带针阔混交林,山坡林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484152.jpg,,,,,,,,,, +,Phyllolobium tribulifolium,PE西藏队,PE5036,20170824,西藏自治区,3522,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334242.jpg,,,,,,,,,, +,Phyllolobium tribulifolium,"陈家辉, 韩希, 王广艳, 李资磊",YangYP-Q-4208,20110905,西藏,,砂质地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1442784.jpg,,,,,,,,,, +石绿竹,Phyllostachys arcana,曾新宇,86038,19860512,浙江省,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645424.jpg,,,,,,,,,, +石绿竹,Phyllostachys arcana,F.A.McClure,21033,19420812,,7,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01512629.jpg,,,,,,,,,, +石绿竹,Phyllostachys arcana,张丽娜,张玉霄,ZLN-2011111,20110502,福建省,220,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1262355.jpg,,,,,,,,,, +水竹,Phyllostachys heteroclada,赵鑫磊,,20110804,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109926.jpg,,,,,,,,,, +水竹,Phyllostachys heteroclada,陈照宙,53880,19631218,广西壮族自治区,,山地、水旁,山谷,肥土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981403.jpg,,,,,,,,,, +水竹,Phyllostachys heteroclada,夏江林,56,19950406,湖南省,400,溪边灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929222.jpg,,,,,,,,,, +篌竹,Phyllostachys nidularia,川黔队,222,19560508,重庆市,760,山 山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083251.jpg,,,,,,,,,, +篌竹,Phyllostachys nidularia,北京队,894578,19890526,广西壮族自治区,1000,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981411.jpg,,,,,,,,,, +篌竹,Phyllostachys nidularia,武陵山考察队,3191,19880729,贵州省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851846.jpg,,,,,,,,,, +桂竹,Phyllostachys reticulata,,586,19290807,浙江省,84,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00527523.jpg,,,,,,,,,, +桂竹,Phyllostachys reticulata,C.C.Courtois,1035,19130520,安徽省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00527549.jpg,,,,,,,,,, +桂竹,Phyllostachys reticulata,charles e.devol,647,,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/019014089.jpg,,,,,,,,,, +江南散血丹,Physaliastrum heterophyllum,"Knapp,S,Xu,Yanqin,Zhou etc.",10135,20070927,江西省,1150,deciduous forest on mountain sides with maples,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115073.jpg,,,,,,,,,, +江南散血丹,Physaliastrum heterophyllum,云台山采集队,1158,20090800,河南省,1000~900,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036261.jpg,,,,,,,,,, +江南散血丹,Physaliastrum heterophyllum,张志耘等,2014-220,20140518,,360,山坡路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02014623.jpg,,,,,,,,,, +云南散血丹,Physaliastrum yunnanense,俞德浚/T.T.Yu,16767,19380715,云南省,1800,"in ravine,under thickets",herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00672877.jpg,,,,,,,,,, +云南散血丹,Physaliastrum yunnanense,Y.Tsiang,12719,19330000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00672872.jpg,,,,,,,,,, +酸浆,Physalis alkekengi var. alkekengi,陈洁琳,20200916001,20200916,黑龙江,,草地,,无花有果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0002446.jpg,,,,,,,,,, +,Physalis alkekengi var. francheti,李振宇,12206,20110902,北京市,,植物园内荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064216.jpg,,,,,,,,,, +,Physalis alkekengi var. francheti,H.-S.Jung,201128-0111,20110914,,52,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02040478.jpg,,,,,,,,,, +,Physalis alkekengi var. francheti,"张树仁,陈淑荣,朗校安等",2106,20140619,四川省,1645~1700,山谷 密林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02021616.jpg,,,,,,,,,, +苦蘵(原变种),Physalis angulata var. angulata,H. Sada et al. (佐田博子 他3名),FOK-061493,20031005,高知県,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0115835.jpg,,,,,,,,,, +苦蘵(原变种),Physalis angulata var. angulata,恭城县普查队,450332141115111LY,20141115,广西壮族自治区,244,阔叶林、沟边,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0174433.jpg,,,,,,,,,, +苦蘵(原变种),Physalis angulata var. angulata,桂平市普查队,450881190728023LY,20190728,广西,82,草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0202921.jpg,,,,,,,,,, +小酸浆,Physalis minima,张彩飞,2155,20091025,浙江省,130,山阴坡较湿裸露之处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247480.jpg,,,,,,,,,, +小酸浆,Physalis minima,周口店考察队,261,20080927,北京市,140,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112097.jpg,,,,,,,,,, +小酸浆,Physalis minima,,7783,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882852.jpg,,,,,,,,,, +西藏泡囊草,Physochlaina praealta,PE西藏考察队,7738,20180624,西藏自治区,3902,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332073.jpg,,,,,,,,,, +全叶滇芎,Physospermopsis alepidioides,溥发鼎,姚淦,400,19821023,四川省,2250,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00029188.jpg,,,,,,,,,, +楔叶滇芎,Physospermopsis cuneata,"周浙昆, 苏涛, 杨莹, 张芳茗, 李国锋, 黄永江",Zhou09-085,20091014,云南,,河滩,杂木林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336866.jpg,,,,,,,,,, +楔叶滇芎,Physospermopsis cuneata,和炳先,88-42,19880000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00029195.jpg,,,,,,,,,, +,Physospermopsis cuneata,"Rock, Joseph Francis Charles",5854,1922,,,,,,https://image.cvh.ac.cn/files/l/E/E00000217.jpg,,,,,,,,,, +滇芎,Physospermopsis delavayi,,11366,19380917,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00757435.jpg,,,,,,,,,, +滇芎,Physospermopsis delavayi,秦仁昌,23338,19290721,云南省,,草坝山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00757433.jpg,,,,,,,,,, +滇芎,Physospermopsis delavayi,陈谋,2460,19340000,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0463954.jpg,,,,,,,,,, +,Physospermopsis kingdon-wardii,"孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增",SunH-07ZX-2424,20090920,西藏自治区,4805,高山草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1336867.jpg,,,,,,,,,, +,Physospermopsis kingdon-wardii,"Kingdon-Ward, Francis",992,1913,,,,,,https://image.cvh.ac.cn/files/l/E/E00000221.jpg,,,,,,,,,, +木里滇芎,Physospermopsis muliensis,T.T.Yu,14579,19371020,四川省,4000,grassy slope,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/01432306.jpg,,,,,,,,,, +木里滇芎,Physospermopsis muliensis,,419 4,,,3650,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00931558.jpg,,,,,,,,,, +,Physospermopsis muliensis,"孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增",SunH-07ZX-2785,20090927,西藏自治区,3180,林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1336869.jpg,,,,,,,,,, +波棱滇芎,Physospermopsis obtusiuscula,罗建等,LuoJian-ZX-0938,20091013,西藏自治区,3346,"林缘灌丛,草地",,有花无果,https://image.cvh.ac.cn/files/l/PE/01924214.jpg,,,,,,,,,, +波棱滇芎,Physospermopsis obtusiuscula,T.T.Yu,20325,19380916,云南省,3200,alpine grassland,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432323.jpg,,,,,,,,,, +波棱滇芎,Physospermopsis obtusiuscula,青藏队横断山队,3986,19810809,四川省,3900,山沟 林间 灌丛 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129870.jpg,,,,,,,,,, +紫脉滇芎,Physospermopsis rubrinervis,PE西藏队,PE6621,20170914,西藏自治区,3934,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330305.jpg,,,,,,,,,, +紫脉滇芎,Physospermopsis rubrinervis,"高信芬,彭玉兰,孙庚",3753,20020920,四川省,3150,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00931555.jpg,,,,,,,,,, +紫脉滇芎,Physospermopsis rubrinervis,孙必兴等,1017,19730716,云南省,3100,牧草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00931554.jpg,,,,,,,,,, +,Physospermopsis shaniana,高黎贡山考察队,9521,19970921,云南省,3200,rochy slope with steams,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1255758.jpg,,,,,,,,,, +丽江滇芎,Physospermopsis shaniana,川经凉,1591,19590805,四川省,3600,草地,山顶,阳处,山坡,草本直立,有花有果,https://image.cvh.ac.cn/files/l/KUN/0463989.jpg,,,,,,,,,, +商陆,Phytolacca acinosa,张彩飞,2354,20100905,西藏自治区,2850,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02247610.jpg,,,,,,,,,, +商陆,Phytolacca acinosa,王功范,1-0160,20030518,贵州省,650,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230731.jpg,,,,,,,,,, +商陆,Phytolacca acinosa,萧百中,4320,20050622,湖南省,520,山麓 红壤 光 阴 湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230727.jpg,,,,,,,,,, +,Phytolacca americana,段林东,3140,20040514,湖南省,80,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230758.jpg,,,,,,,,,, +,Phytolacca americana,孙翔宇,149,20060915,江苏省,50,路边草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230754.jpg,,,,,,,,,, +,Phytolacca americana,覃海宁等,18768,20050428,江西省,500,山顶灌草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230753.jpg,,,,,,,,,, +,Phytolacca polyandra,"李良千,王忠涛,杜玉芬,卫然",286,20110914,甘肃省,1841,山谷山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01914154.jpg,,,,,,,,,, +,Phytolacca polyandra,青藏队,7313,19820613,云南省,1650,山坡次生杂木林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820998.jpg,,,,,,,,,, +,Picea asperata var. asperata,覃敏,2,19821008,四川省,3200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00206607.jpg,,,,,,,,,, +白皮云杉,Picea asperata var. aurantiaca,H.C.Chow,842,19890909,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00083836.jpg,,,,,,,,,, +白皮云杉,Picea asperata var. aurantiaca,彭玉兰、余奇、李林霖,THP-KD-1577,20170620,四川,3091,,乔木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253217.jpg,,,,,,,,,, +,Picea asperata var. aurantiaca,W.C.Cheng,1361,1930/7/7,四川; Sichuan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00000918.jpg,,,,,,,,,, +箭炉云杉,Picea aurantiaca var. retroflexa,何荻平,46161,19560000,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00005300.jpg,,,,,,,,,, +麦吊云杉(原变种),Picea brachytyla var. brachytyla,方震东,97008,19970613,云南,2900,河谷针阔叶混交林,乔木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG003171.jpg,,,,,,,,,, +,Picea crassifolia,刘尚武,3024,19890720,青海省,2800,山谷河滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/00063672.jpg,,,,,,,,,, +,Picea crassifolia,于兆英,2199,19810903,内蒙古自治区,2480,阴坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00058194.jpg,,,,,,,,,, +,Picea crassifolia,王一峰,94046,19940709,甘肃省,2800,云杉林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00057814.jpg,,,,,,,,,, +,Picea likiangensis var. likiangensis,"刘成, 郭永杰, 亚吉东, 张桥蓉, 何华杰, 秦少发, 张凤琼, 李昌洪, 李欣",16CS14028,20161125,云南,3778,云杉林,乔木,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1450253.jpg,,,,,,,,,, +,Picea likiangensis var. likiangensis,"Forrest, George",6750,1927,,,,,,https://image.cvh.ac.cn/files/l/E/E00078157.jpg,,,,,,,,,, +,Picea likiangensis var. likiangensis,王乾、顾健,HDS09967,20200906,四川,3420,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0270177.jpg,,,,,,,,,, +康定云杉,Picea likiangensis var. montigena,横断山队植被组,4192,19830619,四川省,2860,阴坡高山松林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043991.jpg,,,,,,,,,, +康定云杉,Picea likiangensis var. montigena,H.H.Chung,,19291122,,,栽部,,无花无果,https://image.cvh.ac.cn/files/l/PE/00010302.jpg,,,,,,,,,, +紫果云杉,Picea purpurea,"陈伟烈,陈家瑞,郭柯等",8258,19840721,四川省,3810,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076933.jpg,,,,,,,,,, +雪岭杉,Picea schrenkiana,张会金等,45(2005-3055),20050822,新疆维吾尔自治区,1382,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01963454.jpg,,,,,,,,,, +长叶云杉,Picea smithiana,"陈又生,张树仁,于胜祥等",364,20111111,西藏自治区,2718,山谷云杉林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967983.jpg,,,,,,,,,, +长叶云杉,Picea smithiana,"傅立国,张荣厚",88,19721010,江西省,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/01865149.jpg,,,,,,,,,, +长叶云杉,Picea smithiana,"郭柯,郑度",P-131,19891023,,3000,云杉林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01352082.jpg,,,,,,,,,, +喜马拉雅云杉,Picea spinulosa,张经炜,2492,19610523,西藏自治区,3000,南坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043846.jpg,,,,,,,,,, +青扦,Picea wilsonii,"陈伟烈,陈家瑞,郭柯等",8623,19840727,四川省,2350,云杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046183.jpg,,,,,,,,,, +青扦,Picea wilsonii,Kris Bachtell等,33,20020918,山西省,1614,沙石,,无花有果,https://image.cvh.ac.cn/files/l/PE/01963446.jpg,,,,,,,,,, +青扦,Picea wilsonii,Ying Tsun-Shen et al.,555,19870816,陕西省,2800,in forest,,无花无果,https://image.cvh.ac.cn/files/l/PE/01606027.jpg,,,,,,,,,, +,Picrasma javanica,川黔队,100,19560421,重庆市,700,山地 山坡 阳处 路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/02083549.jpg,,,,,,,,,, +,Picrasma javanica,"李渤生,程树志",2700,19830125,西藏自治区,1500,常绿阔叶林中常见乔木,,无花无果,https://image.cvh.ac.cn/files/l/PE/01506043.jpg,,,,,,,,,, +,Picrasma javanica,H.F.Sun,2113,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01136247.jpg,,,,,,,,,, +苦树,Picrasma quassioides,GEORGE FORREST.,25459,19240000,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244892.jpg,,,,,,,,,, +苦树,Picrasma quassioides,黄河队,566,19570527,山西省,1500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082270.jpg,,,,,,,,,, +苦树,Picrasma quassioides,Sheng-you Lu,17082,19850921,台湾省,250,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045040.jpg,,,,,,,,,, +滇苦菜,Picris divaricata,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1049,20021110,云南省,2570,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101309.jpg,,,,,,,,,, +滇苦菜,Picris divaricata,赵佐成,5011,19931028,四川省,2200,阳地草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909795.jpg,,,,,,,,,, +毛连菜,Picris hieracioides,C.W.Wang,62836,19350400,云南省,2000,hill side,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091053.jpg,,,,,,,,,, +毛连菜,Picris hieracioides,黄河队,8168,19560812,陕西省,,旱田中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081732.jpg,,,,,,,,,, +日本毛连菜,Picris japonica,张彩飞,2986,20110923,北京市,,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247405.jpg,,,,,,,,,, +日本毛连菜,Picris japonica,宋丽,XM129-1,20150809,内蒙古自治区,1266,白桦林下及林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115070.jpg,,,,,,,,,, +日本毛连菜,Picris japonica,"H.Li,S.X.Yang,R.Li etc.",201,20020814,云南省,2500,山坡荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091134.jpg,,,,,,,,,, +,Picrorhiza scrophulariiflora,北京所横断山队,3650,19810824,云南省,3900~4200,高山 灌丛草甸及冷杉林下常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01518399.jpg,,,,,,,,,, +西藏胡黄连,Picrorhiza scrophulariiflora,西藏中草药普查队,1752,19720903,西藏自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/29338.jpg,,,,,,,,,, +,Pieris formosa var. forrestii,,4067,19910313,云南省,2000,杂木林,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0004596.jpg,,,,,,,,,, +,Pilea angulata,Pi-Fong Lu,18934,20090919,台湾省,400~800,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044192.jpg,,,,,,,,,, +,Pilea angulata,Gaoligong Shan Biodiversity Survey,27579,20050815,云南省,1380,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865735.jpg,,,,,,,,,, +,Pilea angulata,"关克俭,汪劲武等",1443,19640815,四川省,1900,灌木丛下阴处潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862534.jpg,,,,,,,,,, +异叶冷水花,Pilea anisophylla,西藏考察队,STET1169,20100724,西藏自治区,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108096.jpg,,,,,,,,,, +异叶冷水花,Pilea anisophylla,M.K.Li,1450,19391211,云南省,1150,under thickets near by stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/00472779.jpg,,,,,,,,,, +耳基冷水花,Pilea auricularis,"李渤生,程树志",2047,19821208,西藏自治区,2600~2800,常绿阔叶林下阴湿坡优势草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014244.jpg,,,,,,,,,, +耳基冷水花,Pilea auricularis,Gaoligong Shan Biodiversity Survey,33968,20060823,云南省,1910,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865780.jpg,,,,,,,,,, +多苞冷水花,Pilea bracteosa,PE西藏队,PE5768,20170903,西藏自治区,1683~2900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293735.jpg,,,,,,,,,, +多苞冷水花,Pilea bracteosa,Gaoligong Shan Biodiversity Survey,25292,20050601,云南省,1805,"Growing around pond in sun, grassy area. In loam on marble",,有花无果,https://image.cvh.ac.cn/files/l/PE/01865783.jpg,,,,,,,,,, +歪叶冷水花,Pilea cordifolia,独龙江考察队,337,19901115,云南省,1380,菁沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00472974.jpg,,,,,,,,,, +歪叶冷水花,Pilea cordifolia,俞泽华,242,19650604,贵州省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/065039287.jpg,,,,,,,,,, +点乳冷水花,Pilea glaberrima,北京植物所横断山队,438,19810606,云南省,1700,两岸沟谷林下水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032661.jpg,,,,,,,,,, +点乳冷水花,Pilea glaberrima,,629,,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014225.jpg,,,,,,,,,, +点乳冷水花,Pilea glaberrima,"张寿洲,李良千等",5524,20051226,广东省,750~800,水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014222.jpg,,,,,,,,,, +翠茎冷水花,Pilea hilliana,"刘杰,刘基男,陈凯",GLGE141473,20141006,云南省,2239,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02078998.jpg,,,,,,,,,, +翠茎冷水花,Pilea hilliana,武陵队,1088,19880915,湖南省,600,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01353684.jpg,,,,,,,,,, +盾基冷水花,Pilea insolens,South Tibet Expedition Team(STET),STET2233,20100806,西藏自治区,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108101.jpg,,,,,,,,,, +盾基冷水花,Pilea insolens,Gaoligong Shan Biodiversity Survey,34499,20060902,云南省,3280,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865774.jpg,,,,,,,,,, +山冷水花,Pilea japonica,江广渝,4087,20100731,四川省,1980,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059917.jpg,,,,,,,,,, +山冷水花,Pilea japonica,"税玉民,陈文红,盛家舒",31172,20021011,云南省,,石灰岩山常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014198.jpg,,,,,,,,,, +山冷水花,Pilea japonica,T.Miyazaki,1200134,20121112,,20~40,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01942313.jpg,,,,,,,,,, +条叶冷水花,Pilea linearifolia,吴征镒等,75-551,19750704,西藏自治区,3100,高山栎幼林下大石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00023790.jpg,,,,,,,,,, +条叶冷水花,Pilea linearifolia,杨璐,20185148,20180418,贵州省,519,路边石上,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0025372.jpg,,,,,,,,,, +,Pilea linearifolia,"吴征镒, 陈书坤, 杜庆, 庐树林",75-551,19750704,西藏,3100,高山栎幼林林下大石上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1207569.jpg,,,,,,,,,, +鱼眼果冷水花,Pilea longipedunculata,李德铢,1082,20100815,贵州省,920,石灰岩沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062519.jpg,,,,,,,,,, +鱼眼果冷水花,Pilea longipedunculata,Gaoligong Shan Biodiversity Survey,25533,20050804,云南省,1140,Grassland.Disturbed by agriculture.Growing along trail.In humus on slate,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014207.jpg,,,,,,,,,, +鱼眼果冷水花,Pilea longipedunculata,覃海宁等,2012,19981104,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985386.jpg,,,,,,,,,, +大果冷水花,Pilea macrocarpa,FLPH Tibet Expedition,12-1818,20120919,西藏自治区,2300~3000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01958479.jpg,,,,,,,,,, +大果冷水花,Pilea macrocarpa,刘正宇,2020629,20020408,云南省,1000,阴湿林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0036205.jpg,,,,,,,,,, +念珠冷水花,Pilea macrocarpa,刘梦飞,610,19810924,河北省,1300~1200,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC037348.jpg,,,,,,,,,, +大叶冷水花,Pilea martinii,PE西藏考察队,7468,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333328.jpg,,,,,,,,,, +大叶冷水花,Pilea martinii,"刘杰,刘基男,陈凯",GLGE14954,20140924,云南省,3019,老公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328005.jpg,,,,,,,,,, +大叶冷水花,Pilea martinii,"陈伟烈,陈家瑞,郭柯等",5769,19840602,四川省,2850,沟谷阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072337.jpg,,,,,,,,,, +墨脱冷水花,Pilea medogensis,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0748,20130808,西藏自治区,,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993228.jpg,,,,,,,,,, +长序冷水花,Pilea melastomoides,PE西藏队,PE6301,20170911,西藏自治区,2445,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293776.jpg,,,,,,,,,, +长序冷水花,Pilea melastomoides,"Jin XH,Wang LS,Wang Q.Wei R,Fu ZX,Feng YL",ST0797,20130723,云南省,,mountain slope shade,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108131.jpg,,,,,,,,,, +长序冷水花,Pilea melastomoides,PT-ET(Putao Expedition Team): Xiaohua JIN et al.,PT-ET 517,20141016,,1050,under evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108111.jpg,,,,,,,,,, +念珠冷水花,Pilea monilifera,"吴增源,刘铭璐",WuZY-2012158,20120801,贵州省,2174,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328004.jpg,,,,,,,,,, +念珠冷水花,Pilea monilifera,PE西藏队,PE6360,20170911,西藏自治区,3120,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293769.jpg,,,,,,,,,, +念珠冷水花,Pilea monilifera,"Jin XH,Wang LS,Wang Q.Wei R,Fu ZX,Feng YL",ST1739,20130802,云南省,3700,conifer forest to apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108099.jpg,,,,,,,,,, +串珠毛冷水花,Pilea multicellularis,FLPH Tibet Expedition,12-1247,20120915,西藏自治区,1500,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02283643.jpg,,,,,,,,,, +串珠毛冷水花,Pilea multicellularis,Gaoligong Shan Biodiversity Survey,34463,20060901,云南省,2240,subtropical evergreen broadleaf forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865740.jpg,,,,,,,,,, +雅致冷水花,Pilea oxyodon,PE西藏队,PE6080,20170906,西藏自治区,2935,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293774.jpg,,,,,,,,,, +雅致冷水花,Pilea oxyodon,Gaoligong Shan Biodiversity Survey,21917,20041027,云南省,1370,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865750.jpg,,,,,,,,,, +少花冷水花,Pilea pauciflora,何叶祺,752,19580920,甘肃省,2200,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01846907.jpg,,,,,,,,,, +少花冷水花,Pilea pauciflora,K.L.Chu,7712,19400814,四川省,,on shady moist place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00473596.jpg,,,,,,,,,, +赤车冷水花,Pilea pellionioides,T.T.Yu,19996,19370827,云南省,1850,under woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01843968.jpg,,,,,,,,,, +赤车冷水花,Pilea pellionioides,李振宇,s.n.,19800605,北京市,,温室栽,,有花无果,https://image.cvh.ac.cn/files/l/PE/00473624.jpg,,,,,,,,,, +镜面草,Pilea peperomioides,陈家瑞,86347,19861007,北京市,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01843016.jpg,,,,,,,,,, +镜面草,Pilea peperomioides,姜恕等,8050,19600412,云南省,1010,林下 阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01843017.jpg,,,,,,,,,, +镜面草,Pilea peperomioides,,1747,19410104,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0165656.jpg,,,,,,,,,, +石筋草,Pilea plataniflora,李德铢,1081,20100815,贵州省,920,石灰岩沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062518.jpg,,,,,,,,,, +石筋草,Pilea plataniflora,"刘杰,刘涛",liuj-10603,20100923,云南省,1840,田边水沟旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062491.jpg,,,,,,,,,, +石筋草,Pilea plataniflora,巴山采集队,6187,20120708,四川省,700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059298.jpg,,,,,,,,,, +假冷水花,Pilea pseudonotata,曹子余,922,19581008,贵州省,800,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014246.jpg,,,,,,,,,, +假冷水花,Pilea pseudonotata,"税玉良,陈文红等",20007,20020322,云南省,1530,on roadside nearby limestone forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847969.jpg,,,,,,,,,, +假冷水花,Pilea pseudonotata,中越考察队,1920,19650207,,1000~1100,常绿阔叶林下水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01843972.jpg,,,,,,,,,, +钝尖冷水花,Pilea pumila var. obtusifolia,赵佐成,3254,19931009,四川省,1100,林下沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02014167.jpg,,,,,,,,,, +钝尖冷水花,Pilea pumila var. obtusifolia,"税玉良,陈文红等",31045,20021010,云南省,,南坡常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847971.jpg,,,,,,,,,, +,Pilea pumila var. pumila,陈伟烈等,8815,19840805,甘肃省,1600,溪边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01804806.jpg,,,,,,,,,, +,Pilea pumila var. pumila,"刘杰,吴增源",WuZY-10377,20100830,云南省,2169,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01893013.jpg,,,,,,,,,, +,Pilea pumila var. pumila,"吴增源,刘杰",WuZY2012184,20120820,湖北省,1173,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892980.jpg,,,,,,,,,, +亚高山冷水花,Pilea racemosa,PE西藏考察队,7896,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332643.jpg,,,,,,,,,, +亚高山冷水花,Pilea racemosa,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET 1092,20080702,云南省,3500,apine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108132.jpg,,,,,,,,,, +,Pilea salwinensis,Gaoligong Shan Biodiversity Survey,21690,20041102,云南省,1740,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865752.jpg,,,,,,,,,, +,Pilea salwinensis,徐洪贵,3471,19950517,四川省,1100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847329.jpg,,,,,,,,,, +细齿冷水花,Pilea scripta,X.H.Jin et al.,DLJ-ET3405,20080720,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062815.jpg,,,,,,,,,, +细齿冷水花,Pilea scripta,北京植物所横断山队,516,19810602,云南省,2300~2500,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050892.jpg,,,,,,,,,, +镰叶冷水花,Pilea semisessilis,张寿洲等,920,20130925,四川省,,土生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990345.jpg,,,,,,,,,, +镰叶冷水花,Pilea semisessilis,Shui Yu-Min et Chen Wen-Hong,13939,20001025,云南省,1000~1300,in the second forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869857.jpg,,,,,,,,,, +镰叶冷水花,Pilea semisessilis,赵常明,EX1986,20080925,湖北省,1900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862560.jpg,,,,,,,,,, +粗齿冷水花,Pilea sinofasciata,刘杰,Liuj-09535,20090919,云南省,2060,云南松林下,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328006.jpg,,,,,,,,,, +粗齿冷水花,Pilea sinofasciata,巴山采集队,2814,20080728,重庆市,1300,水沟旁山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062822.jpg,,,,,,,,,, +粗齿冷水花,Pilea sinofasciata,梁同军,15,20150615,江西省,1500,多生于山谷林下阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042768.jpg,,,,,,,,,, +鳞片冷水花,Pilea squamosa,邱炳云,53744,19561116,云南省,2550,干燥山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01315184.jpg,,,,,,,,,, +鳞片冷水花,Pilea squamosa,"李渤生,程树志等",2827,19830209,西藏自治区,1600~2000,常绿阔叶林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00508250.jpg,,,,,,,,,, +羽脉冷水花,Pilea ternifolia,PE西藏考察队,7158,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331990.jpg,,,,,,,,,, +少毛冷水花,Pilea umbrosa var. obesa,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0656,20130807,西藏自治区,2780,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993218.jpg,,,,,,,,,, +少毛冷水花,Pilea umbrosa var. obesa,T.T.Yu,20106,19380903,云南省,2600,Under mixed forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00508333.jpg,,,,,,,,,, +疣果冷水花,Pilea verrucosa,北京队,892521,19890510,广西壮族自治区,1400,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985448.jpg,,,,,,,,,, +疣果冷水花,Pilea verrucosa,Gaoligong Shan Biodiversity Survey,24663,20050523,云南省,2167,subtropical evergreen broadleaf forest.Undisturbed.,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865747.jpg,,,,,,,,,, +疣果冷水花,Pilea verrucosa,PE-古蔺考察队,135,20100529,四川省,1081~1772,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01864354.jpg,,,,,,,,,, +冠盖藤,Pileostegia viburnoides,巴山采集队,2889,20100721,四川省,941,灌木林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066317.jpg,,,,,,,,,, +冠盖藤,Pileostegia viburnoides,梁同军,33,20150615,江西省,1500,多生于林下或溪沟旁边 常攀援于乔木和岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042837.jpg,,,,,,,,,, +冠盖藤,Pileostegia viburnoides,"马丹丹,寿海洋",ZJFC236,20070923,浙江省,500,山坡路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01869593.jpg,,,,,,,,,, +,Piloselloides hirsuta,FLPH Sichuan Expedition,152035,20150902,四川省,2850,疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084750.jpg,,,,,,,,,, +,Piloselloides hirsuta,北京队,890711,19890501,广西壮族自治区,850,林下阴生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997485.jpg,,,,,,,,,, +,Piloselloides hirsuta,,1416,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836574.jpg,,,,,,,,,, +尖叶茴芹,Pimpinella acuminata,"倪志诚,次多,次旦",3198,19820902,西藏自治区,3300,沟谷云冷杉松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01933647.jpg,,,,,,,,,, +,Pimpinella acuminata,伊廷双,伊-10654,20070914,四川省,902,对面山坡路边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1336871.jpg,,,,,,,,,, +锐叶茴芹,Pimpinella arguta,"杨红梅,朗校安等",1588,20140422,四川省,1600~1900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021305.jpg,,,,,,,,,, +锐叶茴芹,Pimpinella arguta,王映明,5695,19880806,湖北省,1680,沟谷 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01608477.jpg,,,,,,,,,, +锐叶茴芹,Pimpinella arguta,傅竟秋,2875,19760906,甘肃省,890,山谷草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575467.jpg,,,,,,,,,, +重波茴芹,Pimpinella bisinuata,刘慎谔等,21039,19461003,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00757427.jpg,,,,,,,,,, +重波茴芹,Pimpinella bisinuata,T.T.Yü,7516,19370731,四川省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00757423.jpg,,,,,,,,,, +杏叶茴芹,Pimpinella candolleana,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",741,20021107,云南省,2430,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111853.jpg,,,,,,,,,, +杏叶茴芹,Pimpinella candolleana,,s.n.,19810813,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537354.jpg,,,,,,,,,, +尾尖茴芹,Pimpinella caudata,"李渤生,倪志诚,程树志",6251,19830808,西藏自治区,3600~4200,Abies林内 草地 时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537353.jpg,,,,,,,,,, +尾尖茴芹,Pimpinella caudata,中甸队,1293,19620825,云南省,,山坡疏林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00757534.jpg,,,,,,,,,, +尾尖茴芹,Pimpinella caudata,蔡希陶,57657,,云南省 ,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0464163.jpg,,,,,,,,,, +中甸茴芹,Pimpinella chungdienensis,PE西藏队,PE6411,20170911,西藏自治区,2969,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330295.jpg,,,,,,,,,, +中甸茴芹,Pimpinella chungdienensis,中甸队,1351,19620825,云南省,3100,落叶林云杉林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00757540.jpg,,,,,,,,,, +革叶茴芹,Pimpinella coriacea,广西队,227,19550503,广西壮族自治区,200~500,山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991841.jpg,,,,,,,,,, +革叶茴芹,Pimpinella coriacea,H.T.Tsai,58883,19341020,云南省,2000,In the woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00759679.jpg,,,,,,,,,, +异叶茴芹,Pimpinella diversifolia,赵常明,EX2168,20080928,湖北省,1100,阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989792.jpg,,,,,,,,,, +异叶茴芹,Pimpinella diversifolia,三峡考察队,2890,20090830,重庆市,1332~1500,杂木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989790.jpg,,,,,,,,,, +城口茴芹,Pimpinella fargesii,P. R. Farges,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896234.jpg,,,,,,,,,, +城口茴芹,Pimpinella fargesii,武陵队,1135,19880916,湖南省,600,山地 山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01608475.jpg,,,,,,,,,, +细软茴芹,Pimpinella flaccida,青藏队,2934,19810719,云南省,2800,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129895.jpg,,,,,,,,,, +细软茴芹,Pimpinella flaccida,刘振书,1554,19340000,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00759862.jpg,,,,,,,,,, +细软茴芹,Pimpinella flaccida,T.T.Yu,9517,19440619,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0440819.jpg,,,,,,,,,, +灰叶茴芹,Pimpinella grisea,税玉民,544,19920909,云南省,1990,山坡灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0464288.jpg,,,,,,,,,, +灰叶茴芹,Pimpinella grisea,潘泽惠等,1008,19861030,四川省,2600,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00034774.jpg,,,,,,,,,, +川鄂茴芹,Pimpinella henryi,王映明,5348,19880717,湖北省,1850,河谷水边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01845160.jpg,,,,,,,,,, +川鄂茴芹,Pimpinella henryi,李馨,72388,19570830,四川省,2700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00759890.jpg,,,,,,,,,, +川鄂茴芹,Pimpinella henryi,戴天伦,105401,19580624,重庆市,1600,生于河沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00759889.jpg,,,,,,,,,, +,Pimpinella kingdon-wardii,尹志坚等,1707,20090723,云南省,3050,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01925437.jpg,,,,,,,,,, +,Pimpinella kingdon-wardii,"张廷,蔡杰,袁明,刘恩德,刘成,郭永杰",09CS1527,20090922,西藏自治区,3137,河谷山坡林中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1336950.jpg,,,,,,,,,, +,Pimpinella monoica,张经炜,999,19730811,西藏自治区,3000,冰川侧碛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491086.jpg,,,,,,,,,, +异序茴,Pimpinella monoica,,4287,19171000,,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0440822.jpg,,,,,,,,,, +异序茴芹,Pimpinella monoica,陈晓澄等,6774,20140813,西藏,2923,阔叶林及针叶林下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019416.jpg,,,,,,,,,, +,Pimpinella nyingchiensis,K. Yao et al.,2117,19890822,西藏自治区,3150,林下阴湿处,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00082784.jpg,,,,,,,,,, +紫瓣茴芹,Pimpinella purpurea,中甸队,852,19620816,云南省,3600~3800,Picea林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00759935.jpg,,,,,,,,,, +紫瓣茴芹,Pimpinella purpurea,,D421,19181013,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00759908.jpg,,,,,,,,,, +下曲茴芹,Pimpinella refracta,彭华课题组,H-滇兰坪-Z1298,20100730,云南省,3400,草坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1204383.jpg,,,,,,,,,, +下曲茴芹,Pimpinella refracta,,5769,19300712,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00028046.jpg,,,,,,,,,, +,Pimpinella refracta,"Forrest, George",14885,17-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00000497.jpg,,,,,,,,,, +菱叶茴芹,Pimpinella rhomboidea,三峡考察队,3360,20090907,重庆市,1220~1280,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989785.jpg,,,,,,,,,, +菱叶茴芹,Pimpinella rhomboidea,巴山采集队,5553,20110712,四川省,2000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01872600.jpg,,,,,,,,,, +菱叶茴芹,Pimpinella rhomboidea,北京队,2582,19880707,湖南省,1250~1350,山坡 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345466.jpg,,,,,,,,,, +丽江茴芹,Pimpinella rockii,北京所横断山队,2354,19810730,云南省,3400~3800,Abies林缘草地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129901.jpg,,,,,,,,,, +丽江茴芹,Pimpinella rockii,,6171,19100700,云南省 ,335,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0440832.jpg,,,,,,,,,, +少花茴芹,Pimpinella rubescens,Dr.Heinr.Frh.v.Handel-Mazzetti,672,19140720,云南省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432447.jpg,,,,,,,,,, +少花茴芹,Pimpinella rubescens,,735,19270807,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00759965.jpg,,,,,,,,,, +木里茴芹,Pimpinella silvatica,青藏队,1213,19810617,云南省,,高山 松林下 沼地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129902.jpg,,,,,,,,,, +木里茴芹,Pimpinella silvatica,,5471,19740810,四川省,2900,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00039772.jpg,,,,,,,,,, +木里茴芹,Pimpinella silvatica,,186,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075284.jpg,,,,,,,,,, +直立茴芹,Pimpinella smithii,"石硕,梁文达",SZ4247,20141006,河北省,1104,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063437.jpg,,,,,,,,,, +直立茴芹,Pimpinella smithii,云台山采集队,126,20080922,河南省,,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038627.jpg,,,,,,,,,, +直立茴芹,Pimpinella smithii,方鼎等,25240,19830916,广西壮族自治区,975,石灰山,山坡路边,阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991840.jpg,,,,,,,,,, +藏茴芹,Pimpinella tibetanica,T.T.Yu,17749,19380928,云南省,1800,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00744455.jpg,,,,,,,,,, +藏茴芹,Pimpinella tibetanica,蒋兴麐,34903,19590720,四川省,1750,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00028171.jpg,,,,,,,,,, +,Pimpinella wallichii,"吴征镒,陈书坤,杜庆,庐树林",75-1164,19740805,西藏自治区,3650,山沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00744469.jpg,,,,,,,,,, +巍山茴芹,Pimpinella weishanensis,青藏队,8565,19820725,云南省,3000,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129906.jpg,,,,,,,,,, +巍山茴芹,Pimpinella weishanensis,青藏队补点队,751691,19750826,西藏自治区,2800,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00744498.jpg,,,,,,,,,, +云南茴芹,Pimpinella yunnanensis,,w17,19810813,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537356.jpg,,,,,,,,,, +禾颐苹兰,Pinalia graminifolia,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201089,20200721,西藏,2224,岩石上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507881.jpg,,,,,,,,,, +,Pinalia spicata,"郭永杰, 胡枭剑, 李涟漪, 赵国庆",18CS17119,20180904,云南,1554,亚热带常绿阔叶林下路边,附生植物,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486606.jpg,,,,,,,,,, +密花毛兰,Pinalia spicata,彭玉德、李金花、莫连兰,451031141030049LY,20141030,广西,,阔叶林,林下,石灰土,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0191779.jpg,,,,,,,,,, +密花苹兰,Pinalia spicata,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201273,20200726,西藏,2958,农田边林中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505544.jpg,,,,,,,,,, +,Pinalia stricta,"刘恩德, 邹娇, 董洪进, 肖波, 周天, 赵晨光, 陈志坚",LED9352,20191216,云南,1132,林中树上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1495452.jpg,,,,,,,,,, +鹅白苹兰,Pinalia stricta,金效华,李剑武,王喜龙,王程旺,19115,20171110,西藏,1077,半常绿阔叶林,附生植物,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030532.jpg,,,,,,,,,, +马齿苹兰,Pinalia szetschuanica,喻勋林、刘昂、周国辉,LK0469,20200502,湖南,1250,山坡密林,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI075782.jpg,,,,,,,,,, +纤细山槟榔,Pinanga gracilis,陈伟烈,10952,19800707,西藏自治区,750,河谷半常绿林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/02098891.jpg,,,,,,,,,, +纤细山槟榔,Pinanga gracilis,刘成,蔡杰,张书东,13CS6458,20130529,西藏,863,路边,灌木,,https://image.cvh.ac.cn/files/l/KUN/1393499.jpg,,,,,,,,,, +半夏,Pinellia ternata,"方炎明,邓懋彬等",975094,19970508,浙江省,500,山谷溪边林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240766.jpg,,,,,,,,,, +半夏,Pinellia ternata,安明态,183,20030418,贵州省,1300,疏林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240765.jpg,,,,,,,,,, +半夏,Pinellia ternata,"曹子余,哈米提,金健全",55,19850905,北京市,,阴湿林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240649.jpg,,,,,,,,,, +高山捕虫堇,Pinguicula alpina,PE西藏考察队,7393,20180616,西藏自治区,3934,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332230.jpg,,,,,,,,,, +高山捕虫堇,Pinguicula alpina,青藏队(横断山),1081,19810615,云南省,,流石滩 岩缝中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110299.jpg,,,,,,,,,, +高山捕虫堇,Pinguicula alpina,"朱大海,冯正波,张超,王飞",20070620,20070606,四川省,3200,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110291.jpg,,,,,,,,,, +华山松,Pinus armandii,马成功等,475,19820727,河南省,,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/02085112.jpg,,,,,,,,,, +华山松,Pinus armandii,孙,89,19830609,山西省,1850,砂岩,,无花有果,https://image.cvh.ac.cn/files/l/PE/02081624.jpg,,,,,,,,,, +华山松,Pinus armandii,西藏队,8293,19760608,云南省,2800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079112.jpg,,,,,,,,,, +,Pinus bhutanica,孙航,周浙昆,俞宏渊,1388,19921115,西藏自治区,1400,in forest,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0141873.jpg,,,,,,,,,, +不丹松,Pinus bhutanica,"刘成, 亚吉东, 何华杰, 李昌洪",16CS14024,20161121,西藏,1587,不丹松林,乔木,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1450257.jpg,,,,,,,,,, +高山松,Pinus densata,"西藏东部,张经炜,王金亭",388,19660616,西藏自治区,2270,小土山上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086572.jpg,,,,,,,,,, +高山松,Pinus densata,"陈伟烈,陈家瑞,郭柯等",6007,19840606,四川省,3400,高山灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046066.jpg,,,,,,,,,, +高山松,Pinus densata,横断山队植被组,4651,19830716,云南省,3200,山坡林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046189.jpg,,,,,,,,,, +喜马拉雅白皮松,Pinus gerardiana,西藏队,76-8161,19760703,西藏自治区,2700,林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00004832.jpg,,,,,,,,,, +西藏白皮松,Pinus gerardiana,"武素功,费勇,杨永平",10,19950919,,,无,,,https://image.cvh.ac.cn/files/l/KUN/1293769.jpg,,,,,,,,,, +马尾松,Pinus massoniana,覃海宁 于胜祥 刘博 叶建飞 黄云峰,19464,20080423,广西壮族自治区,821,阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112361.jpg,,,,,,,,,, +马尾松,Pinus massoniana,川黔队,2022,19561019,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083228.jpg,,,,,,,,,, +马尾松,Pinus massoniana,川黔队,755,19560628,重庆市,750,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083227.jpg,,,,,,,,,, +喜马拉雅长叶松,Pinus roxburghii,,10079,19820900,西藏自治区,2500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00982753.jpg,,,,,,,,,, +喜马拉雅长叶松,Pinus roxburghii,B.Barhtolomew et D.E.Boufford,3785,19860326,,1570,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00082081.jpg,,,,,,,,,, +樟子松,Pinus sylvestris var. mongolica,赤峰采集队(孙英宝等),2-Z45,20080728,内蒙古自治区,1521,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015362.jpg,,,,,,,,,, +樟子松,Pinus sylvestris var. mongolica,,s.n.,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01546139.jpg,,,,,,,,,, +油松,Pinus tabulaeformis,周口店考察队,119,20080927,北京市,140,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112029.jpg,,,,,,,,,, +油松,Pinus tabulaeformis,黄河队,120,19570510,山西省,1600~1800,山坡北,,无花有果,https://image.cvh.ac.cn/files/l/PE/02082121.jpg,,,,,,,,,, +油松,Pinus tabulaeformis,"陈伟烈,陈家瑞,郭柯等",8749,19840801,甘肃省,2200,农地旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046169.jpg,,,,,,,,,, +乔松,Pinus wallichiana,"陈又生,张树仁,于胜祥等",242,20111009,西藏自治区,3155,山谷混交林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967982.jpg,,,,,,,,,, +乔松,Pinus wallichiana,"邓坤枚,黄晓鹤",269,19830815,四川省,3800,冷杉林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00982848.jpg,,,,,,,,,, +地盘松,Pinus yunnanensis var. pygmaea,,,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00008902.jpg,,,,,,,,,, +地盘松,Pinus yunnanensis var. pygmaea,蓝顺彬,657,19860406,云南省,3000,山坡 ,,无花有果,https://image.cvh.ac.cn/files/l/PE/00008897.jpg,,,,,,,,,, +云南松 ,Pinus yunnanensis var. yunnanensis,邓朝义,522301160317163LY,20160317,贵州省,1308,针叶林、中生、阳性、酸性土、中温,乔木,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0058844.jpg,,,,,,,,,, +云南松,Pinus yunnanensis var. yunnanensis,于子文,522325190429255LY,20190429,贵州,1121.1,灌丛、中生、阳性、中温、野生酸性土植物,乔木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0094090.jpg,,,,,,,,,, +云南松,Pinus yunnanensis var. yunnanensis,马关县普查队,5326251380,20150817,云南省,1015.8,针阔叶混交林,乔木,无花有果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0037475.jpg,,,,,,,,,, +,Piper boehmeriifolium,刘恩德等,2456,20100402,云南省,1517,"limestone area,roadside,in thickets",,有花无果,https://image.cvh.ac.cn/files/l/PE/01898383.jpg,,,,,,,,,, +,Piper boehmeriifolium,罗有明,XPALSB068,20081004,云南,,平地,灌木,,https://image.cvh.ac.cn/files/l/KUN/1234009.jpg,,,,,,,,,, +粗梗胡椒,Piper macropodum,"李渤生,程树志",5140,19830617,西藏自治区,1850,常绿阔叶林树上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555368.jpg,,,,,,,,,, +粗梗胡椒,Piper macropodum,Y.T.siang,12411,19330000,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00125038.jpg,,,,,,,,,, +粗梗胡椒,Piper macropodum,T.T.Yu,17795,19380920,四川省,2100,under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00125037.jpg,,,,,,,,,, +短?,Piper mullesua,"李渤生,程树志",1592,19821030,西藏自治区,1600~2100,常绿阔叶林树上时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073445.jpg,,,,,,,,,, +短?,Piper mullesua,H.T.Tsai,56749,19340126,云南省,1600,in ravine,,无花无果,https://image.cvh.ac.cn/files/l/PE/00125113.jpg,,,,,,,,,, +缘毛胡椒,Piper semiimmersum,陈少卿,12347,19570505,广西壮族自治区,280~300,水旁 山谷 密林 肥土 丛生普遍,,有花无果,https://image.cvh.ac.cn/files/l/PE/00125383.jpg,,,,,,,,,, +缘毛胡椒,Piper semiimmersum,毛品一,2322,19530701,云南省,700,村旁 潮湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/00125381.jpg,,,,,,,,,, +缘毛胡椒,Piper semiimmersum,青藏队植被组,2850,19740630,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00045223.jpg,,,,,,,,,, +,Piper suipigua,青藏队,4416,19740820,西藏自治区,1750,山坡阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00125411.jpg,,,,,,,,,, +,Piper suipigua,青藏队,9303,19820813,云南省,1300~1400,山坡 常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00125154.jpg,,,,,,,,,, +长柄胡椒,Piper sylvaticum,"李渤生,程树志",2794,19830207,西藏自治区,800~8500,半常绿雨林及江边Ficus林中多见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00125413.jpg,,,,,,,,,, +长柄胡椒,Piper sylvaticum,武素功,税玉民等,126,19951017,云南省,1700~1900,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0435341.jpg,,,,,,,,,, +长柄胡椒,Piper sylvaticum,李剑武,2981,20130321,云南,780,沟谷林下灌丛,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028315.jpg,,,,,,,,,, +球穗胡椒,Piper thomsonii,生态室高原组,14120,19800808,西藏自治区,1500,攀缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555367.jpg,,,,,,,,,, +球穗胡椒,Piper thomsonii,K.M.Feng,11922,19470920,云南省,1500~1600,on tree in mixed forests,,无花有果,https://image.cvh.ac.cn/files/l/PE/00125416.jpg,,,,,,,,,, +,Piper thomsonii,李恒,李嵘,刀志灵,1360,20071012,云南,1600,次生林,灌木,,https://image.cvh.ac.cn/files/l/KUN/1234041.jpg,,,,,,,,,, +石南藤,Piper wallichii,罗林波,385,19941015,湖南省,500,阴凉石壁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01901103.jpg,,,,,,,,,, +石南藤,Piper wallichii,,7,19730718,四川省,1041,林中树干上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01505030.jpg,,,,,,,,,, +石南藤,Piper wallichii,鄂神农架植考队,30189,19760615,湖北省,820,山坡 丛林,,有花有果,https://image.cvh.ac.cn/files/l/PE/00990334.jpg,,,,,,,,,, +尼泊尔黄花木,Piptanthus nepalensis,PE西藏考察队,7149,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333750.jpg,,,,,,,,,, +尼泊尔黄花木,Piptanthus nepalensis,孙航等,15095,20100530,四川省,3399,灌丛上,山坡灌丛河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01958239.jpg,,,,,,,,,, +,Piptanthus tomentosus,西藏队,69,19791101,西藏自治区,2700,路旁阳处灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02087762.jpg,,,,,,,,,, +,Piptanthus tomentosus,J.M.Delavay,s.n.,18880703,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01723567.jpg,,,,,,,,,, +,Piptatherum aequiglume var. aequiglume,刘艳春等,394,20100914,云南省,1988,on slope,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221456.jpg,,,,,,,,,, +,Piptatherum gracile,Wang Yun,351,20100816,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088440.jpg,,,,,,,,,, +,Piptatherum laterale,胡君、李丽、丁俊祥、蔡琴、许奇标,SC-a-036-B13,20170726,四川,3656.2,高山栎群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273564.jpg,,,,,,,,,, +细弱落芒草,Piptatherum laterale,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201615,20200809,西藏,4211,干旱山坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1553088.jpg,,,,,,,,,, +,Piptatherum munroi,刘艳春,329,20100831,云南省,2981,in the forest,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221441.jpg,,,,,,,,,, +落芒草,Piptatherum munroi,张昌兵,邓秀发,郝国歉,ZhangCB0344,20101019,四川,3487,山坡灌草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403443.jpg,,,,,,,,,, +落芒草,Piptatherum munroi,徐朗然,506,19820816,西藏,3800,灌丛下,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0435824.jpg,,,,,,,,,, +黄连木,Pistacia chinensis,方文培,12227,19380418,四川省,,cultivated in a house,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245946.jpg,,,,,,,,,, +黄连木,Pistacia chinensis,"赖,王,黄,杨,毛",544,19820901,江西省,,低丘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245897.jpg,,,,,,,,,, +黄连木,Pistacia chinensis,,660521,19000000,湖南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245895.jpg,,,,,,,,,, +,Pistacia weinmanniifolia,胡君、王东超、李丽、唐璐,SC-a-063-B02,20180802,云南,,山地灌丛中,小乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609108.jpg,,,,,,,,,, +清香木,Pistacia weinmanniifolia,梁健英,100931,19841220,云南省,,山坡,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00383185.jpg,,,,,,,,,, +清香木,Pistacia weinmanniifolia,"余奇,郑臣臣",THP-KD-0175,20170602,四川省,3932,捧塔村捧塔沟,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250985.jpg,,,,,,,,,, +大薸,Pistia stratiotes,叶国栋,1800,19801209,福建省,,水塘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240654.jpg,,,,,,,,,, +大薸,Pistia stratiotes,1958级同学,2407,19580521,云南省,710,沙壤水田中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240655.jpg,,,,,,,,,, +大薸,Pistia stratiotes,"覃海宁,王印政,闫丽春,文香英,邓德山,唐赛春,农必明,张宪春,夏念和",770,19980413,广西壮族自治区,600,山地、沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017420.jpg,,,,,,,,,, +豌豆,Pisum sativum,何明友 谭仲明,117018,19830427,四川省,1200,山地栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097051.jpg,,,,,,,,,, +豌豆,Pisum sativum,,5130,19570000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01723577.jpg,,,,,,,,,, +豌豆,Pisum sativum,C.O.Levine,s.n.,19170210,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604115.jpg,,,,,,,,,, +,Pittosporum angustilimbum,南水北调考察队,8312,19600608,云南省,1790,江边栎林下,石缝中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0486025.jpg,,,,,,,,,, +,Pittosporum angustilimbum,王作宾,9781,19380918,四川省,2500,omong bur hes,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0486028.jpg,,,,,,,,,, +短萼海桐,Pittosporum brevicalyx,覃海宁等,311,19980408,广西壮族自治区,1400,山地 山坡密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995416.jpg,,,,,,,,,, +短萼海桐,Pittosporum brevicalyx,萧百中,3706,20040717,湖南省,470,河洲沙地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01974311.jpg,,,,,,,,,, +异叶海桐,Pittosporum heterophyllum,C.W.Wang,88305,19400411,云南省,800,steep srcky hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/01974496.jpg,,,,,,,,,, +异叶海桐,Pittosporum heterophyllum,姜恕等,4988,19610514,四川省,2500,柏木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01974434.jpg,,,,,,,,,, +滇西海桐,Pittosporum johnstonianum,昆明工作站,24196,19591111,云南省,1200,河边阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01974383.jpg,,,,,,,,,, +滇西海桐,Pittosporum johnstonianum,T.T.Yu,5912,19370603,四川省,2200,among woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/00844791.jpg,,,,,,,,,, +滇藏海桐,Pittosporum napaulense,Tchen-Ngo Liou,22161,19461223,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0202203.jpg,,,,,,,,,, +滇藏海桐,Pittosporum napaulense,高连明,严丽君,吴之坤,GLM-123671,20120703,西藏自治区,1900,常绿阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241184.jpg,,,,,,,,,, +滇藏海桐,Pittosporum napaulense,彭华,邓云飞,董洪进,825,20120709,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227423.jpg,,,,,,,,,, +柄果海桐,Pittosporum podocarpum,"H.Li,S.X.Yang,R.Li etc.",244,20020814,云南省,2600,常绿阔叶林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090802.jpg,,,,,,,,,, +柄果海桐,Pittosporum podocarpum,广西调查队,406,195306,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01995340.jpg,,,,,,,,,, +柄果海桐,Pittosporum podocarpum,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",179,20130419,四川省,1396~1900,山坡沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994229.jpg,,,,,,,,,, +石生海桐,Pittosporum saxicola,姜恕等,1083,19590617,四川省,2340,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01974239.jpg,,,,,,,,,, +石生海桐,Pittosporum saxicola,E.H.Wilson,3230,1903.8.20.,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0000880.jpg,,,,,,,,,, +崖花子,Pittosporum truncatum,"朱相云,武玉东,万涛等",2245,20140708,四川省,1219,路边 林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021634.jpg,,,,,,,,,, +崖花子,Pittosporum truncatum,,77087,19771012,贵州省,1360~1400,岩山灌木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01974386.jpg,,,,,,,,,, +崖花子,Pittosporum truncatum,,4117,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01974363.jpg,,,,,,,,,, +蛛毛车前,Plantago arachnoidea,"李安仁,朱家楠",5827,19580624,新疆维吾尔自治区,2450,山坡阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671265.jpg,,,,,,,,,, +,Plantago asiatica subsp. asiatica,"杨帆, 马红媛, 安丰华",SNA0078,20150920,吉林,131,半人工草地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1449644.jpg,,,,,,,,,, +,Plantago asiatica subsp. asiatica,"郭永杰, 张桥蓉, 黄莉, 李涟漪, 李培, 何德明, 杨映虹",16CS14220,20161024,浙江,56,沟谷,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1451729.jpg,,,,,,,,,, +车前(原亚种),Plantago asiatica subsp. asiatica,毛品一,797,19520516,云南省,2600,山谷,路旁,沙石地,草本,,https://image.cvh.ac.cn/files/l/IBK/IBK00241082.jpg,,,,,,,,,, +,Plantago cornuti,尹恒,145,19930608,内蒙古,,生于草地,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00603447.jpg,,,,,,,,,, +其根-乌和日-乌日根纳,Plantago cornuti,克里木,92311,92.08.19,新疆维吾尔自治区 ,350,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00034788.jpg,,,,,,,,,, +,Plantago cornuti,,275,19760815,内蒙古自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/HIMC/0034873.jpg,,,,,,,,,, +,Plantago depressa,PE西藏考察队,7705,20180623,西藏自治区,4175,流石滩,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332260.jpg,,,,,,,,,, +,Plantago depressa,"朱大海,王永,王斌等",80,20020410,四川省,920,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115819.jpg,,,,,,,,,, +,Plantago depressa,何叶祺,4270,19590722,甘肃省,2800,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115510.jpg,,,,,,,,,, +,Plantago himalaica,杨昌友,750207,19750610,新疆维吾尔自治区,3050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671245.jpg,,,,,,,,,, +,Plantago himalaica,青藏队,7872,19760627,西藏自治区,4100,河滩 草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173301.jpg,,,,,,,,,, +长叶车前,Plantago lanceolata,"刘正宇,张军等",RQHZ06076,20150528,重庆市,584,黄壤 草丛路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115274.jpg,,,,,,,,,, +长叶车前,Plantago lanceolata,Nobuyuki Tanaka,NT0086,20150628,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112462.jpg,,,,,,,,,, +长叶车前,Plantago lanceolata,刘媖心等,702,19730813,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02107501.jpg,,,,,,,,,, +大车前,Plantago major,PE西藏队,PE5010,20170824,西藏自治区,3522,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02331130.jpg,,,,,,,,,, +大车前,Plantago major,"朱大海,王永,尚涛",1919,20030928,四川省,1000,山坡下部林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112595.jpg,,,,,,,,,, +大车前,Plantago major,周口店考察队,98,20080927,北京市,140,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112028.jpg,,,,,,,,,, +,Plantago maritima,侯学煜,12665a,19510826,内蒙古自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01573712.jpg,,,,,,,,,, +,Plantago maritima,E.Polonskaja,s.n.,19300819,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01301972.jpg,,,,,,,,,, +北车前,Plantago media,"严岳鸿,包珑钰等",9061,20090510,湖南省,100,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02107415.jpg,,,,,,,,,, +北车前,Plantago media,Maciej Wayda,DF58,20120500,,,roadside ditch,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101481.jpg,,,,,,,,,, +北车前,Plantago media,刘学忠,320,19590521,北京市,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826706.jpg,,,,,,,,,, +小车前,Plantago minuta,,1530,19640814,甘肃省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02107430.jpg,,,,,,,,,, +小车前,Plantago minuta,印绍荣,87273,19870517,新疆维吾尔自治区,1000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02107428.jpg,,,,,,,,,, +小车前,Plantago minuta,新准,101,19590507,,,固定沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02107426.jpg,,,,,,,,,, +,Platanthera arcuata,陈伟烈,14325,19800819,西藏自治区,1800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01446170.jpg,,,,,,,,,, +滇藏舌唇兰,Platanthera bakeriana,金效华,,20070802,云南省,3018,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032884.jpg,,,,,,,,,, +滇藏舌唇兰,Platanthera bakeriana,藏南考察队,STET1679,20100730,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867211.jpg,,,,,,,,,, +,Platanthera bifolia,中阳乙队,144,19550630,山西省,1700,灌木底下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060925.jpg,,,,,,,,,, +,Platanthera bifolia,金效华,3481,20020500,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032882.jpg,,,,,,,,,, +,Platanthera bifolia,R.Roshevitz,300,19210724,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01969156.jpg,,,,,,,,,, +察瓦龙舌唇兰,Platanthera chiloglossa,"Jin XH,Wang LS,Wang Q etc.",ST1525,20130730,云南省,,apline meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032974.jpg,,,,,,,,,, +察瓦龙舌唇兰,Platanthera chiloglossa,"X.H.Jin,Y.S.Chen,H.Q.Li etc.",DLJ-ET1914,20080711,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032883.jpg,,,,,,,,,, +二叶舌唇兰,Platanthera chlorantha,黄河队,202,19540627,甘肃省,1460,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230349.jpg,,,,,,,,,, +二叶舌唇兰,Platanthera chlorantha,"王忠涛,曲上,徐连升",140245,20140613,河北省,887,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230187.jpg,,,,,,,,,, +二叶舌唇兰,Platanthera chlorantha,"张永田,郎楷永",1257,19650802,西藏自治区,3100,疏林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230258.jpg,,,,,,,,,, +藏南舌唇兰,Platanthera clavigera,傅国勋,10922,19600723,西藏自治区,3000,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230223.jpg,,,,,,,,,, +弓背舌唇兰,Platanthera curvata,徐?贵,6103,19950721,四川省,2030,肥土上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867233.jpg,,,,,,,,,, +高原舌唇兰,Platanthera exelliana,"X.H.Jin,Y.S.Chen,H.Q.Li etc.",DLJ-ET3297,20080719,西藏自治区,3500,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032885.jpg,,,,,,,,,, +高原舌唇兰,Platanthera exelliana,Jin Xiaohua,9183,20070807,云南省,3633,in bushland,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867236.jpg,,,,,,,,,, +高原舌唇兰,Platanthera exelliana,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485373.jpg,,,,,,,,,, +对耳舌唇兰,Platanthera finetiana,"冯正波,朱大海,李小杰",4351,20070728,四川省,2500,林下草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033542.jpg,,,,,,,,,, +对耳舌唇兰,Platanthera finetiana,金效华,8224,20060703,甘肃省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825355.jpg,,,,,,,,,, +高黎贡舌唇兰,Platanthera herminioides,金效华,7925,20050829,云南省,3060,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526065.jpg,,,,,,,,,, +,Platanthera herminioides,T. T. Yu,19763,1938/8/7,,,,,,https://image.cvh.ac.cn/files/l/HUH/AMES00104954.jpg,,,,,,,,,, +密花舌唇兰,Platanthera hologlottis,,32,19600702,山东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00728999.jpg,,,,,,,,,, +密花舌唇兰,Platanthera hologlottis,刘慎谔,3262,19510722,黑龙江省,,湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00728998.jpg,,,,,,,,,, +密花舌唇兰,Platanthera hologlottis,何景,226,,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00728966.jpg,,,,,,,,,, +舌唇兰,Platanthera japonica,赵鑫磊,,20130519,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230222.jpg,,,,,,,,,, +舌唇兰,Platanthera japonica,黔南队,2040,19590520,贵州省,1300,沟底 密林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230478.jpg,,,,,,,,,, +舌唇兰,Platanthera japonica,HK kadoorie PT,,20020500,云南省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097748.jpg,,,,,,,,,, +白鹤参,Platanthera latilabris,金效华,8351A,20060806,云南省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033339.jpg,,,,,,,,,, +白鹤参,Platanthera latilabris,藏南考察队,STET2866,20100812,西藏自治区,2100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867258.jpg,,,,,,,,,, +条叶舌唇兰,Platanthera leptocaulon,藏南考察队,STET1290,20100727,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867263.jpg,,,,,,,,,, +条叶舌唇兰,Platanthera leptocaulon,金效华,9121,20070801,云南省,3255,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825367.jpg,,,,,,,,,, +丽江舌唇兰,Platanthera likiangensis,刘伦辉等,31-41,19820000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00729337.jpg,,,,,,,,,, +小花舌唇兰,Platanthera minutiflora,Luo Yi-bo,670,20010820,四川省,3600,山沟Picen 林下枯枝层中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01867277.jpg,,,,,,,,,, +小花舌唇兰,Platanthera minutiflora,"Zhu, Chen, Xu,Wang",1483,19990709,陕西省,3300~3600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01867276.jpg,,,,,,,,,, +小花舌唇兰,Platanthera minutiflora,金效华,8218,20060630,甘肃省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825369.jpg,,,,,,,,,, +齿瓣舌唇兰,Platanthera oreophila,金效华,9163,20070805,云南省,3385,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825370.jpg,,,,,,,,,, +齿瓣舌唇兰,Platanthera oreophila,,3480,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00729058.jpg,,,,,,,,,, +齿瓣舌唇兰,Platanthera oreophila,T.T.Yu,7576,19370803,四川省,2800,under woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00729055.jpg,,,,,,,,,, +棒距舌唇兰,Platanthera roseotincta,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T160,20160915,西藏自治区,3602,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233049.jpg,,,,,,,,,, +棒距舌唇兰,Platanthera roseotincta,金效华,8410,20060828,云南省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033381.jpg,,,,,,,,,, +高山舌唇兰,Platanthera sachalinensis,王作宾,15738,19520714,陕西省,0~1700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0642175.jpg,,,,,,,,,, +高山舌唇兰,Platanthera sachalinensis,H.Ohashi,8239,19820727,长野,700~100,on a west slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/433402.jpg,,,,,,,,,, +高山舌唇兰,Platanthera sachalinensis,H.Migo,,19320803,,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00559385.jpg,,,,,,,,,, +滇西舌唇兰,Platanthera sinica,红水河植物考察队,2245,19890617,云南省,2500,石灰岩,杜鹃到高山栎灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997882.jpg,,,,,,,,,, +滇西舌唇兰,Platanthera sinica,于文涛,李国锋,WTYu-424,20090902,云南,3826,路边林缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1394233.jpg,,,,,,,,,, +条瓣舌唇兰,Platanthera stenantha,藏南考察队,STET2833,20100812,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867296.jpg,,,,,,,,,, +条瓣舌唇兰,Platanthera stenantha,X.H.Jin,7806,20060826,云南省,2555,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855747.jpg,,,,,,,,,, +独龙江舌唇兰,Platanthera stenophylla,"程树志,李渤生",147,19820816,西藏自治区,3800,林绒附近桦木时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00729031.jpg,,,,,,,,,, +独龙江舌唇兰,Platanthera stenophylla,王启无,67106,19351000,云南省,2500,mountain slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/00729029.jpg,,,,,,,,,, +化香树,Platycarya strobilacea,川黔队,1794,19561012,贵州省,1450,山坡 阳处 疏密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083489.jpg,,,,,,,,,, +化香树,Platycarya strobilacea,Kazunobu Ochi & Misao Natsui,6,20150605,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079108.jpg,,,,,,,,,, +化香树,Platycarya strobilacea,巴山采集队,5806,20120628,四川省,1270,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059301.jpg,,,,,,,,,, +桔梗,Platycodon grandiflorus,"Bin-Bin liu,Guang-Ning Liu",3996,20180728,北京市,,"Roadsides,on the slopes of broadleaved deciduous forest",,有花无果,https://image.cvh.ac.cn/files/l/PE/02234024.jpg,,,,,,,,,, +桔梗,Platycodon grandiflorus,巴山采集队,4201,20100801,四川省,1500,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059129.jpg,,,,,,,,,, +桔梗,Platycodon grandiflorus,山东队,37,19561001,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057076.jpg,,,,,,,,,, +宽框荠,Platycraspedum tibeticum,秦自生,6310,19740614,四川省,4300,水沟边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01161746.jpg,,,,,,,,,, +宽框荠,Platycraspedum tibeticum,高信芬、黎怀诚,THP-KD-0371,20170602,四川,3932,,一年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244264.jpg,,,,,,,,,, +吴氏宽荠,Platycraspedum wuchengyii,青藏科考队,12038,19760627,西藏自治区,4000,河边湿地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432108.jpg,,,,,,,,,, +吴氏宽荠,Platycraspedum wuchengyii,卻建华等,112,20070507,云南省,3300,grassy slope,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0137749.jpg,,,,,,,,,, +吴氏宽框荠,Platycraspedum wuchengyii,"朱鑫鑫,安宇梦",ZXX18203,20180626,青海,3758,高原亚寒带高山流石滩,二年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435801.jpg,,,,,,,,,, +堇叶苣苔,Platystemma violoides,青藏队,6100,19750629,西藏自治区,2300,大石头阴处,,无花无果,https://image.cvh.ac.cn/files/l/PE/00155458.jpg,,,,,,,,,, +堇叶苣苔,Platystemma violoides,Mohini Makhija,65,19550922,,0,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0551313.jpg,,,,,,,,,, +独蒜兰,Pleione bulbocodioides,赵鑫磊,,20120329,安徽省,650,溪边岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230227.jpg,,,,,,,,,, +独蒜兰,Pleione bulbocodioides,,,19590808,,2000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033388.jpg,,,,,,,,,, +独蒜兰,Pleione bulbocodioides,刘正宇,20980,19960705,云南省,1700,沙质岩壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033328.jpg,,,,,,,,,, +黄花独蒜兰,Pleione forrestii,R.C.Ching,22450,19290429,云南省,,杂木林内山坡生树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00729719.jpg,,,,,,,,,, +黄花独蒜兰,Pleione forrestii,G.Forrest,26626,19240000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0642303.jpg,,,,,,,,,, +毛唇独蒜兰,Pleione hookeriana,黔南队,3395,19590808,贵州省,,梁脊 密林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033389.jpg,,,,,,,,,, +毛唇独蒜兰,Pleione hookeriana,花坪自然保护区植物区系考察队,H0051,20060415,广西壮族自治区,1800,山地,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997900.jpg,,,,,,,,,, +毛唇独蒜兰,Pleione hookeriana,PE-西藏队,887,20100814,西藏自治区,2492,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866939.jpg,,,,,,,,,, +疣鞘独蒜兰,Pleione praecox,吉占和,92-0209,19920428,云南省,1950,林中 树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01594238.jpg,,,,,,,,,, +疣鞘独蒜兰,Pleione praecox,生态室高原组,11311,19800727,西藏自治区,1900,附生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01446184.jpg,,,,,,,,,, +岩生独蒜兰,Pleione saxicola,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T177,20160915,西藏自治区,3602,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233060.jpg,,,,,,,,,, +岩生独蒜兰,Pleione saxicola,K.M.Feng,7914,19400920,云南省,2500,岩壁上沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00027205.jpg,,,,,,,,,, +二叶独蒜兰,Pleione scopulorum,金效华,7923,20050829,云南省,3060,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526087.jpg,,,,,,,,,, +二叶独蒜兰,Pleione scopulorum,生态室高原组,10338,19800625,西藏自治区,3600,冷杉林带内大石头上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01446180.jpg,,,,,,,,,, +云南独蒜兰,Pleione yunnanensis,金效华,6402,20040400,云南省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825379.jpg,,,,,,,,,, +云南独蒜兰,Pleione yunnanensis,T.Naito et al. ,304,19860428,四川省,1650~1700,in grassland under shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803463.jpg,,,,,,,,,, +美丽棱子芹,Pleurospermum amabile,PE西藏队,PE5955,20170905,西藏自治区,4780,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330170.jpg,,,,,,,,,, +美丽棱子芹,Pleurospermum amabile,青藏队,5154,19810823,四川省,4300,春思错湖岸 杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129910.jpg,,,,,,,,,, +美丽棱子芹,Pleurospermum amabile,王启无,70111,19350900,云南省,2700,mountain slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00744629.jpg,,,,,,,,,, +归叶棱子芹,Pleurospermum angelicoides,"李渤生,李辉,阳艺",13669,19900911,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196066.jpg,,,,,,,,,, +归叶棱子芹,Pleurospermum angelicoides,北京所横断山队,1043,19810622,云南省,3000,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129913.jpg,,,,,,,,,, +紫色棱子芹,Pleurospermum apiolens,"张挺, 刘成, 亚吉东",18CS17698,20180916,西藏,4011,垂枝柏,小蘗山坡灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484537.jpg,,,,,,,,,, +紫色棱子芹,Pleurospermum apiolens,倪志诚,次多,次旦,3049,19820819,西藏自治区,4000,高山灌丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0005002.jpg,,,,,,,,,, +芳香棱子芹,Pleurospermum aromaticum,青藏队横断山队,4022,19810809,四川省,3850,山沟内林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129917.jpg,,,,,,,,,, +芳香棱子芹,Pleurospermum aromaticum,T.P.Wang,650,19310716,河北省,,in valley,,有花有果,https://image.cvh.ac.cn/files/l/PE/00744645.jpg,,,,,,,,,, +芳香棱子芹,Pleurospermum aromaticum,西藏中草药普查队,4511,19720822,西藏自治区,4000,高山草甸岩石处,,无花有果,https://image.cvh.ac.cn/files/l/PE/00744644.jpg,,,,,,,,,, +雅江棱子芹,Pleurospermum astrantioideum,T.T.Yu,12151,19370715,云南省,3700,rocky hill,,有花有果,https://image.cvh.ac.cn/files/l/PE/00744653.jpg,,,,,,,,,, +雅江棱子芹,Pleurospermum astrantioideum,Gail Berg,2002-30,20020724,西藏自治区,4561,shrubby grassland steep mid slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1204414.jpg,,,,,,,,,, +,Pleurospermum astrantioideum,"何兴金,王长宝,刘爽,易欣",SCU-09-009,20090821,四川省,4064,高山坡地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337045.jpg,,,,,,,,,, +,Pleurospermum benthamii,A.K.BULLEY of NESS,4619,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575828.jpg,,,,,,,,,, +宝兴棱子芹,Pleurospermum benthamii,青藏队,3912,1981-8 6,四川省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094210.jpg,,,,,,,,,, +宝兴棱子芹,Pleurospermum benthamii,方震东,1005,19880817,云南省,3900,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 002271.jpg,,,,,,,,,, +,Pleurospermum bicolor,,28106,19290800,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00744654.jpg,,,,,,,,,, +,Pleurospermum bicolor,"Rock, Joseph Francis Charles",10781,19-Sep-23,,,,,,https://image.cvh.ac.cn/files/l/E/E00000156.jpg,,,,,,,,,, +二色棱子芹,Pleurospermum bicolor,张挺;亚吉东;杨娅娟;陈凯,16CS13957,20161017,四川,4190,高山灌草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1480845.jpg,,,,,,,,,, +,Pleurospermum calcareum,胡光万,HGW-00335,20081017,云南省,3100,山地,路边草丛,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337002.jpg,,,,,,,,,, +鸡冠棱子芹,Pleurospermum cristatum,巴山采集队,5583,20110712,四川省,2200,林下空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01872597.jpg,,,,,,,,,, +鸡冠棱子芹,Pleurospermum cristatum,孙学刚等,20010322,20010815,甘肃省,2500,沟谷灌丛林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833846.jpg,,,,,,,,,, +鸡冠棱子芹,Pleurospermum cristatum,,593,19580730,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00744746.jpg,,,,,,,,,, +翼叶棱子芹,Pleurospermum decurrens,"郎楷永,李良千,费勇",912,19820801,四川省,3500~3550,高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129934.jpg,,,,,,,,,, +翼叶棱子芹,Pleurospermum decurrens,钟补求,5864,19530722,西藏自治区,,溪流旁低湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00744852.jpg,,,,,,,,,, +翼叶棱子芹,Pleurospermum decurrens,中甸队,1290,19620825,云南省,3300,山坡荞麦地边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00744850.jpg,,,,,,,,,, +丽江棱子芹,Pleurospermum foetens,青藏队植被组,3403,19740926,西藏自治区,4800,西坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061744.jpg,,,,,,,,,, +丽江棱子芹,Pleurospermum foetens,青藏队,2774,19810714,云南省,4300~4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129940.jpg,,,,,,,,,, +丽江棱子芹,Pleurospermum foetens,青藏队横断山队,5436,19810827,四川省,4400,冰川下流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129937.jpg,,,,,,,,,, +松潘棱子芹,Pleurospermum franchetianum,Anonymous,5471,19740703,四川省,3600,林缘 隙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01940353.jpg,,,,,,,,,, +松潘棱子芹,Pleurospermum franchetianum,王素平,287,19930711,甘肃省,3200,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879649.jpg,,,,,,,,,, +松潘棱子芹,Pleurospermum franchetianum,西藏中草药普查队,3604,19720710,西藏自治区,3100,山坡 及阶地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01490409.jpg,,,,,,,,,, +,Pleurospermum handelii,王启无,65628,19350800,西藏自治区,3800,mountain slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00744945.jpg,,,,,,,,,, +,Pleurospermum handelii,K.M.Feng,7633,19400909,云南省,3300~3500,草地上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00744944.jpg,,,,,,,,,, +,Pleurospermum handelii,王启无,65628,1935/8/20,云南,3800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0047545.jpg,,,,,,,,,, +垫状棱子芹,Pleurospermum hedinii,王金亭,3510,19610710,西藏自治区,4850,山坡及山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045523.jpg,,,,,,,,,, +垫状棱子芹,Pleurospermum hedinii,郭柯,K-34,19900618,青海省,4580,沙质地高寒草原,,无花无果,https://image.cvh.ac.cn/files/l/PE/01468987.jpg,,,,,,,,,, +芷叶棱子芹,Pleurospermum heracleifolium,北京所横断山队,769,19810622,云南省,3500~3800,高山草甸及冷杉林内草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803069.jpg,,,,,,,,,, +芷叶棱子芹,Pleurospermum heracleifolium,青藏队植被组,1811,19740705,西藏自治区,4250,山顶亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00745036.jpg,,,,,,,,,, +异伞棱子芹,Pleurospermum heterosciadium,"李渤生,程树志,倪志诚",5969,19830728,西藏自治区,4300,高山 灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538823.jpg,,,,,,,,,, +异伞棱子芹,Pleurospermum heterosciadium,中甸队,1687,19620831,云南省,4000~4250,矮杜鹃灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00780076.jpg,,,,,,,,,, +异伞棱子芹,Pleurospermum heterosciadium,BNU,LPS022,20120726,宁夏,2288,林下,草本,,https://image.cvh.ac.cn/files/l/BNU/0011726.jpg,,,,,,,,,, +线裂棱子芹,Pleurospermum linearilobum,青藏队,3215,19810804,四川省,3800,山东坡 高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129977.jpg,,,,,,,,,, +线裂棱子芹,Pleurospermum linearilobum,北京所横断山队,2868,19810810,云南省,,高山 流石滩 大块砾石内时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129975.jpg,,,,,,,,,, +,Pleurospermum longicarpum,傅国勋,613,19600821,西藏自治区,4100,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00745131.jpg,,,,,,,,,, +长果棱子芹,Pleurospermum longicarpum,"张挺, 郭永杰, 吴之坤, 姜虹, 李贵能",16CS12656,20160821,四川,3850,公路边山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1454246.jpg,,,,,,,,,, +大苞棱子芹,Pleurospermum macrochlaenum,"李渤生,倪志诚,程树志",6214,19830808,西藏自治区,3600~4200,Abies林间草地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538821.jpg,,,,,,,,,, +大苞棱子芹,Pleurospermum macrochlaenum,"张挺, 刘成, 亚吉东",18CS17702,20180916,西藏,3960,路上方山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487396.jpg,,,,,,,,,, +,Pleurospermum nanum,CLD-90,1341,19901016,云南省,3460,mossy rock outcrops,,无花有果,https://image.cvh.ac.cn/files/l/PE/01893840.jpg,,,,,,,,,, +矮棱子芹,Pleurospermum nanum,郎楷永,10070,19760829,西藏自治区,5100,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0464771.jpg,,,,,,,,,, +皱果棱子芹,Pleurospermum nubigenum,"姜恕,金存礼等",2498,19590728,四川省,4889,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00745160.jpg,,,,,,,,,, +皱果棱子芹,Pleurospermum nubigenum,,620,19590708,西藏自治区,5000,河阶石砾石质砂地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00745159.jpg,,,,,,,,,, +疏毛棱子芹,Pleurospermum pilosum,青藏队,74-2691,19740920,西藏自治区,4100,山谷草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00745161.jpg,,,,,,,,,, +疏毛棱子芹,Pleurospermum pilosum,陈晓澄等,5753,20140804,西藏,5013,路边砾石,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019409.jpg,,,,,,,,,, +青藏棱子芹,Pleurospermum pulszkyi,"李渤生,杜泽泉,张百平",11386,19870904,新疆维吾尔自治区,4200,山坡 石壁上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345070.jpg,,,,,,,,,, +青藏棱子芹,Pleurospermum pulszkyi,T.N.Ho (HNWP) et al.,2227,19960821,青海省,4650,"growing in consolidated,less often semi consolidated,scree",,有花有果,https://image.cvh.ac.cn/files/l/PE/00745190.jpg,,,,,,,,,, +青藏棱子芹,Pleurospermum pulszkyi,冯国楣,1897,19390729,云南省,4000,on open stony ledges,,有花有果,https://image.cvh.ac.cn/files/l/PE/00745172.jpg,,,,,,,,,, +心叶棱子芹,Pleurospermum rivulorum,,21211,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00745181.jpg,,,,,,,,,, +心叶棱子芹,Pleurospermum rivulorum,联大,21211,,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0464812.jpg,,,,,,,,,, +心叶棱子芹,Pleurospermum rivulorum,何叶祺等,22,1976/8/15,云南,3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0321465.jpg,,,,,,,,,, +岩生棱子芹,Pleurospermum rupestre,"李渤生,郑度,张百平",11088,19870817,西藏自治区,4300,沼泽草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345073.jpg,,,,,,,,,, +岩生棱子芹,Pleurospermum rupestre,"李安仁,朱家楠",6349,19580802,新疆维吾尔自治区,2550,冲积平原,,有花有果,https://image.cvh.ac.cn/files/l/PE/00745188.jpg,,,,,,,,,, +岩生棱子芹,Pleurospermum rupestre,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13279,20160821,新疆,2994,高山石质山坡上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1458756.jpg,,,,,,,,,, +青海棱子芹,Pleurospermum szechenyii,青藏队植被组,8629,19760626,西藏自治区,4230,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00759991.jpg,,,,,,,,,, +青海棱子芹,Pleurospermum szechenyii,J.F.Rock,14178,19260600,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00759990.jpg,,,,,,,,,, +青海棱子芹,Pleurospermum szechenyii,K.S.Hao,1163,19300907,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00759983.jpg,,,,,,,,,, +泽库棱子芹,Pleurospermum tsekuense,"Ho Ting-nung,Bruce Bartholomew & Mike GiIbert",797,19930805,青海省,3980,Wet area with pool and hummock complex with stream flowing through.Drier areas.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00759994.jpg,,,,,,,,,, +泽库棱子芹,Pleurospermum tsekuense,"陈世龙, 高庆波, 张发起等",ChenSL1564,20110817,青海,,高山草甸,金露梅灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1337080.jpg,,,,,,,,,, +,Pleurospermum wilsonii,刘恩德,5820,20020819,云南省,3200,石头山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920120.jpg,,,,,,,,,, +,Pleurospermum wilsonii,武素功,2267,19590717,四川省,4100,石灰山山坡流砂滩上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00782025.jpg,,,,,,,,,, +,Pleurospermum wilsonii,K.M.Liou,6996,19360906,青海省,2450,Sommet de montagnes lieux prairies et bruyeres,,有花无果,https://image.cvh.ac.cn/files/l/PE/00782018.jpg,,,,,,,,,, +瘤果棱子芹,Pleurospermum wrightianum,"李渤生,李辉,阳艺",13928,19900920,西藏自治区,3500~3700,Betula 林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196071.jpg,,,,,,,,,, +瘤果棱子芹,Pleurospermum wrightianum,T.N.Ho(HNWP) et al.,2003,19960818,青海省,3700,"Juniperus-Picea Betula community on steep rocky slope,trees mostly fairly widely spaced,rarely more than 4m high.",,有花有果,https://image.cvh.ac.cn/files/l/PE/00782043.jpg,,,,,,,,,, +瘤果棱子芹,Pleurospermum wrightianum,崔友文,5433,19510822,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00782038.jpg,,,,,,,,,, +云南棱子芹,Pleurospermum yunnanense,青藏队,10686,19820926,西藏自治区,4000,山坡草坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00782088.jpg,,,,,,,,,, +云南棱子芹,Pleurospermum yunnanense,K.M.Feng,6036,19400801,云南省,3600~4000,草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00782086.jpg,,,,,,,,,, +鸡娃草,Plumbagella micrantha,D.E.Boufford et al.,40425,20070823,甘肃省,3600~3620,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913239.jpg,,,,,,,,,, +鸡娃草,Plumbagella micrantha,陶德定,11204,19760908,西藏自治区,3700~4000,路边杂草,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485757.jpg,,,,,,,,,, +鸡娃草,Plumbagella micrantha,王文中,3185,19540807,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01478111.jpg,,,,,,,,,, +白花丹,Plumbago zeylanica,广西调查队,3324,19530800,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02008785.jpg,,,,,,,,,, +白花丹,Plumbago zeylanica,S.T.Chiu,5108,19990310,福建省,20,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913237.jpg,,,,,,,,,, +白花丹,Plumbago zeylanica,D.Halford,Q9626,20080925,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912123.jpg,,,,,,,,,, +白顶早熟禾,Poa acroleuca,Liu Yanchun,231,20080620,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089274.jpg,,,,,,,,,, +白顶早熟禾,Poa acroleuca,杨国祯,5503,19990411,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088689.jpg,,,,,,,,,, +白顶早熟禾,Poa acroleuca,川黔队,83,19560421,重庆市,750,山地 山地阴处 疏密林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049073.jpg,,,,,,,,,, +高山早熟禾,Poa alpina,王金亭,3518,19610712,西藏自治区,4500,平缓的高原面上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048041.jpg,,,,,,,,,, +高山早熟禾,Poa alpina,"Laaksonen,Kyosti",,19590625,,,in a meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039262.jpg,,,,,,,,,, +高株早熟禾,Poa alta,H.W.Kung,1050,19300902,河北省,2700,top of mountain,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841820.jpg,,,,,,,,,, +高株早熟禾,Poa alta,S.Saito,1003,19290720,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01676246.jpg,,,,,,,,,, +高株早熟禾,Poa alta,贾慎修,s.n.,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925101.jpg,,,,,,,,,, +早熟禾,Poa annua,"Li Heng,Yang Shixiong,Lei Ligong et Ji Yunheng",815,20021107,云南省,2430,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308959.jpg,,,,,,,,,, +早熟禾,Poa annua,丁小平,25,20050420,江西省,100,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308851.jpg,,,,,,,,,, +早熟禾,Poa annua,陈全胜,CF-0002-043,20170820,内蒙古自治区,717,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246865.jpg,,,,,,,,,, +,Poa araratica subsp. oligophylla,,W-111,,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925459.jpg,,,,,,,,,, +,Poa araratica subsp. oligophylla,傅沛云等,1184,19590826,吉林省,,高山草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925458.jpg,,,,,,,,,, +贫叶早熟禾,Poa araratica subsp. oligophylla,吴玉虎,LJQ-QLS-2008-0058,20080724,青海,3270,高寒杂草草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403551.jpg,,,,,,,,,, +极地早熟禾,Poa arctica subsp. caespitans,张,刘,192,19900519,北京,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00003150.jpg,,,,,,,,,, +极地早熟禾,Poa arctica subsp. caespitans,路端正,,19920525,山西,2400,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00003158.jpg,,,,,,,,,, +,Poa asperifolia,R.J.Soreng et al.,5654,19971014,西藏自治区,3500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925513.jpg,,,,,,,,,, +,Poa asperifolia,贾慎修,s.n.,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925504.jpg,,,,,,,,,, +,Poa asperifolia,,76-81,19760630,,,云杉林下,分布较广的禾草之一,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925502.jpg,,,,,,,,,, +,Poa attenuata var. vivipara,张经炜,1195,19730822,西藏自治区,4550,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469801.jpg,,,,,,,,,, +,Poa attenuata var. vivipara,中甸队,1936,19620908,云南省,4200,冰碛湖出口处水边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925638.jpg,,,,,,,,,, +双节早熟禾,Poa binodis,刘淼等,A10078,20050517,安徽省,800,生于空地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01645926.jpg,,,,,,,,,, +双节早熟禾,Poa binodis,刘淼等,A20022,20050609,湖北省,200,生于空地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01645536.jpg,,,,,,,,,, +双节早熟禾,Poa binodis,"汤宗孝,柏正强,任文夫",151,19930728,四川省,3500,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925659.jpg,,,,,,,,,, +波密早熟禾,Poa bomiensis,应俊生 洪德元,650863,19650803,西藏自治区,4200,灌丛草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00039429.jpg,,,,,,,,,, +波密早熟禾,Poa bomiensis,不详,392,19890722,青海省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/003651.jpg,,,,,,,,,, +柔软早熟禾,Poa faberi var. longifolia,刘僮,SK201802117,20180709,河北,1250米,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/HBU/HBU0001062.jpg,,,,,,,,,, +,Poa grandis,"程树志,李渤生",339,19820820,西藏自治区,3700,高山杂类草甸中常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976178.jpg,,,,,,,,,, +,Poa grandis,C.W.Wang,67278,19351000,云南省,3000,Mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976172.jpg,,,,,,,,,, +,Poa grandis,青藏队,12427,19830724,四川省,3800,山坡灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976152.jpg,,,,,,,,,, +史蒂瓦早熟禾,Poa himalayana,鞠文彬,张良,陈德奎,AZH01198,20160616,四川省,2318,阔叶林溪边林缘,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254450.jpg,,,,,,,,,, +史蒂瓦早熟禾,Poa himalayana,鞠文彬,高云东,杨焰,THP-KD-1840,20170716,四川,3226,路边,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255060.jpg,,,,,,,,,, +,Poa hylobates,许延志,9-Dec,19560909,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976292.jpg,,,,,,,,,, +,Poa hylobates,青海队,1157,19580822,青海省,,云杉—杂草,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976289.jpg,,,,,,,,,, +,Poa hylobates,,1167,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976290.jpg,,,,,,,,,, +,Poa infirma,叶国栋,143,19770203,福建省,20,田间杂草,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976305.jpg,,,,,,,,,, +,Poa infirma,青藏队横断山队,4241,19810824,四川省,3100,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976304.jpg,,,,,,,,,, +,Poa infirma,,2282,19580517,浙江省,,西庙前溪边林,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976302.jpg,,,,,,,,,, +喀斯早熟禾,Poa khasiana,PE西藏考察队,7161,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333035.jpg,,,,,,,,,, +喀斯早熟禾,Poa khasiana,,40430,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976340.jpg,,,,,,,,,, +,Poa lipskyi,郭柯等,天山-620,19860816,新疆维吾尔自治区,3000,山坡灌丛草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805999.jpg,,,,,,,,,, +,Poa lipskyi,青藏队植被组,12015,19760724,西藏自治区,5100,山坡沟谷石下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469761.jpg,,,,,,,,,, +,Poa litwinowiana,青藏队植被组,12555,19760914,西藏自治区,5200~5400,冰川冰台末端及Kobresia草甸上时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076601.jpg,,,,,,,,,, +,Poa macroanthera,T.N.Liou,3455,19310819,新疆维吾尔自治区,2800,水边 ,,无花无果,https://image.cvh.ac.cn/files/l/PE/00039389.jpg,,,,,,,,,, +大药早熟禾,Poa macroanthera,徐文斌,马真等,SHI-A2007040,20070725,新疆,1797,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403591.jpg,,,,,,,,,, +毛稃早熟禾,Poa mairei,杨光明,SCSB-W-1135,20080707,云南,,落叶阔叶林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403592.jpg,,,,,,,,,, +毛稃早熟禾,Poa mairei,张昌兵,向丽,ZhangCB0177,20080910,四川,3600,亚高山针叶林林间草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403594.jpg,,,,,,,,,, +林地早熟禾,Poa nemoralis,"张新时,郭柯",天山-622,19860816,新疆维吾尔自治区,3000,山坡灌丛草甸T-083,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077931.jpg,,,,,,,,,, +林地早熟禾,Poa nemoralis,温带森林组,112,19620619,吉林省,910,河边阶地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073192.jpg,,,,,,,,,, +林地早熟禾,Poa nemoralis,W.G.Dore,21279,19640924,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023238.jpg,,,,,,,,,, +,Poa nepalensis var. nipponica,甘启良,2841,20080516,湖北省,1400,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01849857.jpg,,,,,,,,,, +日本早熟禾,Poa nepalensis var. nipponica,李盛兰,GanQL434,20130614,湖北,835,山坡草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1454177.jpg,,,,,,,,,, +,Poa nepalensis var. nipponica,尹志坚,董洪进,向春雷,1697,20090723,云南,3000,"ravine “B”to “A”, forest margins",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1512056.jpg,,,,,,,,,, +云生早熟禾,Poa nubigena,"张永田,郞楷永",3614,19660521,西藏自治区,3500,山坡竹林边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00977009.jpg,,,,,,,,,, +云生早熟禾,Poa nubigena,C.W.Wang,64866,19350700,云南省,3000,Border of woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00977008.jpg,,,,,,,,,, +云生早熟禾,Poa nubigena,田效文,样62(4),19820724,四川省,3780,疏林草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976987.jpg,,,,,,,,,, +,Poa pagophila,郭柯,K-175,19900805,青海省,4850,河岸阶地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099553.jpg,,,,,,,,,, +,Poa pagophila,W.Heise,,20080619,,200,margin of the Wisla River,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089182.jpg,,,,,,,,,, +,Poa palustris,"张新时,郭柯",天山-463,19860806,新疆维吾尔自治区,2080,山地草地草原T-057,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077913.jpg,,,,,,,,,, +,Poa palustris,云台山采集队,116,20080922,河南省,,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040899.jpg,,,,,,,,,, +,Poa palustris,E.Simacheva,s.n.,19840816,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01969139.jpg,,,,,,,,,, +小早熟禾,Poa parvissima,吴玉虎 青藏队,1258,19870829,新疆维吾尔自治区,5120,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/145733.jpg,,,,,,,,,, +小早熟禾,Poa parvissima,"武素功,大场秀章,吴玉虎,费勇",2726,19880819,新疆维吾尔自治区 ,5200,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/150640.jpg,,,,,,,,,, +小早熟禾,Poa parvissima,,84-A-213,84528,,4500,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20014312.jpg,,,,,,,,,, +宿生早熟禾,Poa perennis,,227,19410920,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00977231.jpg,,,,,,,,,, +宿生早熟禾,Poa perennis,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-1573,20080922,西藏,3873,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403602.jpg,,,,,,,,,, +,Poa polycolea,PE西藏考察队,7400,20180616,西藏自治区,3635,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333052.jpg,,,,,,,,,, +,Poa polycolea,,Q42,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469768.jpg,,,,,,,,,, +假泽早熟禾,Poa pseudo-palustris,,1922,1962/8/18,青海,3600,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0229246.jpg,,,,,,,,,, +假泽早熟禾,Poa pseudo-palustris,张盍曾,63062,19630628,青海省,3200,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/003751.jpg,,,,,,,,,, +假泽早熟禾,Poa pseudo-palustris,秦忠时,767,19840516,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/15846017x0023.jpg,,,,,,,,,, +青海早熟禾,Poa qinghaiensis,吴玉虎,33253,20050710,青海省,4200,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0214352.jpg,,,,,,,,,, +雪地早熟禾,Poa rangkulensis,邱娟,冯建菊,LiuJQ0056,20080805,新疆,3500,农田边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403484.jpg,,,,,,,,,, +雪地早熟禾,Poa rangkulensis,青藏队、吴玉虎,870583,19870712,新疆维吾尔自治区,3400,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/144296.jpg,,,,,,,,,, +雪地早熟禾,Poa rangkulensis,吴玉虎,34645,20050806,青海省,4900,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0221948.jpg,,,,,,,,,, +西伯利亚早熟禾,Poa sibirica,"刘冰,刘夙",688,20070604,北京市,1929,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043378.jpg,,,,,,,,,, +西伯利亚早熟禾,Poa sibirica,H.H.Iltis et al.,114a,19790629,,480~970,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01677060.jpg,,,,,,,,,, +西伯利亚早熟禾,Poa sibirica,,s.n.,19590000,新疆维吾尔自治区,,Larix 林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01677052.jpg,,,,,,,,,, +,Poa sichotensis,,751,19630712,吉林省,1200,阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986178.jpg,,,,,,,,,, +锡金早熟禾,Poa sikkimensis,汤宗孝,1272,19830630,四川省,2450,河漫滩 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607041.jpg,,,,,,,,,, +锡金早熟禾,Poa sikkimensis,"李渤生,李辉,多吉次旦",13093,19900815,西藏自治区,4800,高山砾石中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506754.jpg,,,,,,,,,, +锡金早熟禾,Poa sikkimensis,,75-1509,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986224.jpg,,,,,,,,,, +多叶早熟禾,Poa sphondylodes var. erikssonii,何毅 郝加琛,GSL2015050889,20150531,甘肃省,2350,林下,,,https://image.cvh.ac.cn/files/l/BNU/0020945.jpg,,,,,,,,,, +,Poa sphondylodes var. subtrivialis,聂敏祥,7049,19630507,江西省,270,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986630.jpg,,,,,,,,,, +,Poa sphondylodes var. subtrivialis,青甘调查队,1402,19590812,青海省,3200,莫河南冲积扇,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986628.jpg,,,,,,,,,, +,Poa supina,巴山采集队,1262,20080707,重庆市,2350,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851057.jpg,,,,,,,,,, +,Poa supina,Harry Smith,1580,19520624,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01676901.jpg,,,,,,,,,, +,Poa supina,"张经炜,王金亭",1127,19730821,西藏自治区,3800,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986696.jpg,,,,,,,,,, +垂枝早熟禾,Poa szechuensis var. debilior,张昌兵,邓秀华,ZhangCB0290,20090910,四川,3450,撂荒地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403663.jpg,,,,,,,,,, +,Poa szechuensis var. debilior,高信芬、彭玉兰、赵会礼,4952,20030618,四川省,2160,山沟灌丛下,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0197652.jpg,,,,,,,,,, +垂枝早熟禾,Poa szechuensis var. debilior,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20901,20200701,西藏,3974,荒地上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507131.jpg,,,,,,,,,, +唐氏早熟禾,Poa tangii,K.M.Liou,160,19310604,河北省,1680,among meadow on slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986755.jpg,,,,,,,,,, +唐氏早熟禾,Poa tangii,青甘调查队,2501,19600614,青海省,2700,阴坡灌木下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986756.jpg,,,,,,,,,, +西藏早熟禾,Poa tibetica,何叶祺,3778,19590701,甘肃省,1600,田边 水沟旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01606930.jpg,,,,,,,,,, +西藏早熟禾,Poa tibetica,"清水建美,近田文弘等",140,19910724,新疆维吾尔自治区,1800,牧草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01470048.jpg,,,,,,,,,, +西藏早熟禾,Poa tibetica,青藏队植被组,12501,19760908,西藏自治区,4500,水边高(Kobresia)草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469841.jpg,,,,,,,,,, +,Poa trivialis subsp. trivialis,F.H.Utech,313,19790620,pennsylvania,442,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/388689.jpg,,,,,,,,,, +,Poa urssulensis var. kanboensis,C.T.Li,2225,19320708,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00987166.jpg,,,,,,,,,, +,Poa urssulensis var. kanboensis,,143,19350605,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00987163.jpg,,,,,,,,,, +,Poa versicolor subsp. relaxa,"张新时,郭柯",天山-061,19860729,新疆维吾尔自治区,,山地侧坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077908.jpg,,,,,,,,,, +,Poa versicolor subsp. relaxa,,238,19640704,青海省,3800,山地阴坡疏林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00987028.jpg,,,,,,,,,, +,Poa versicolor subsp. relaxa,K.M.Liou et al.,1852,19570525,山西省,2220,Grass groungeds,,有花有果,https://image.cvh.ac.cn/files/l/PE/00987025.jpg,,,,,,,,,, +,Poa versicolor subsp. stepposa,"李渤生,倪志诚,程树志",7262,19830902,西藏自治区,3800,山坡灌丛林下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00987097.jpg,,,,,,,,,, +,Poa versicolor subsp. stepposa,林业部,天昭259,19570715,新疆维吾尔自治区,617,干草原(林带下部)北坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00987096.jpg,,,,,,,,,, +,Poa versicolor subsp. stepposa,何廷农,791,19890716,青海省,2150,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00987079.jpg,,,,,,,,,, +,Poa zhongdianensis,北京所横断山队,3109,19810817,云南省,3400~3600,云杉高山栎林空地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00039485.jpg,,,,,,,,,, +百日青,Podocarpus neriifolius,"李渤生,程树志,倪志诚",4782,19830509,西藏自治区,1650,常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073405.jpg,,,,,,,,,, +百日青,Podocarpus neriifolius,北京队,892208,19890502,广西壮族自治区,900,山谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01980031.jpg,,,,,,,,,, +百日青,Podocarpus neriifolius,236 四川任务组,84,19710714,四川省,1050,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01535767.jpg,,,,,,,,,, +金丝草,Pogonatherum crinitum,巴山采集队,3651,20100726,四川省,578,土坎,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059346.jpg,,,,,,,,,, +金丝草,Pogonatherum crinitum,"覃海宁,王印政,闫丽春等",238,19980410,广西壮族自治区,200,山地、路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981386.jpg,,,,,,,,,, +金丝草,Pogonatherum crinitum,马玖,211,20090120,云南省,575,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929671.jpg,,,,,,,,,, +云南朱兰,Pogonia yunnanensis,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T158,20160915,西藏自治区,3602,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233064.jpg,,,,,,,,,, +云南朱兰,Pogonia yunnanensis,"Jin Xh,Wang LS,Wang Q et al.",ST1397,20130729,云南省,3400~3600,apline meadow,,无花无果,https://image.cvh.ac.cn/files/l/PE/01978473.jpg,,,,,,,,,, +短冠刺蕊草,Pogostemon brevicorollus,陈谋,3206,19341112,云南省,1981,mountain,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050329.jpg,,,,,,,,,, +短冠刺蕊草,Pogostemon brevicorollus,赵清盛,1291,19890813,四川省,1800,林缘灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00832650.jpg,,,,,,,,,, +长苞刺蕊草,Pogostemon chinensis,"董洪进,王泽欢,胡国雄等",RL-Z-254,20131208,云南省,883,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042980.jpg,,,,,,,,,, +长苞刺蕊草,Pogostemon chinensis,谭策铭,99536,19991128,广东省,260,山谷溪流旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689510.jpg,,,,,,,,,, +长苞刺蕊草,Pogostemon chinensis,覃海宁等,1203,19980424,广西壮族自治区,450,山地山坡石山水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689506.jpg,,,,,,,,,, +狭叶刺蕊草,Pogostemon dielsianus,South Tibet Exp.Team (Jin Xiaohua etc.),STET2087,20100803,西藏自治区,700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328468.jpg,,,,,,,,,, +刚毛萼刺蕊草,Pogostemon hispidocalyx,独龙江考察队,1177,19901218,云南省,1250,河谷中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/350096.jpg,,,,,,,,,, +黑刺蕊草,Pogostemon nigrescens,中苏队,9082,19570329,云南省,,半阳处山坡(缓),,有花有果,https://image.cvh.ac.cn/files/l/PE/02091038.jpg,,,,,,,,,, +黑刺蕊草,Pogostemon nigrescens,刘恩德,彭华等,3971,20130305,云南省 ,1400,forest margin in swamp,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227540.jpg,,,,,,,,,, +毛叶锥头麻,Poikilospermum lanceolatum,中苏云南联合考察团,9225,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01862416.jpg,,,,,,,,,, +毛叶锥头麻,Poikilospermum lanceolatum,"李渤生,程树志等",4968,19830602,西藏自治区,850,Ficus林下常见小乔木,,有花无果,https://image.cvh.ac.cn/files/l/PE/00508517.jpg,,,,,,,,,, +,Polemonium caeruleum var. caeruleum,"刘成, 张挺, 李昌洪, 熊晓强",16CS12466,20160612,新疆,1193,河边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1448305.jpg,,,,,,,,,, +花荵,Polemonium caeruleum var. caeruleum,邢吉庆,22195,19750703,新疆维吾尔自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH012302.jpg,,,,,,,,,, +,Polemonium chinense,"万涛,王文广,刘平等",WL0030,20140711,四川省,2560,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021901.jpg,,,,,,,,,, +,Polemonium chinense,孙学刚等,2467,20010721,甘肃省,2900,沟谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798416.jpg,,,,,,,,,, +,Polemonium chinense,Y.Yabe,s.n.,19070718,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01301286.jpg,,,,,,,,,, +山拐枣,Poliothyrsis sinensis,邓,91109,19930900,江苏省,50,山坡林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01598965.jpg,,,,,,,,,, +山拐枣,Poliothyrsis sinensis,"朱秋桂,刘卿雯",189,20020823,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01598964.jpg,,,,,,,,,, +山拐枣,Poliothyrsis sinensis,罗毅波,3150,19850816,湖南省,270,山脚,,无花有果,https://image.cvh.ac.cn/files/l/PE/01597445.jpg,,,,,,,,,, +大杜若,Pollia hasskarlii,"云南考察队(金效华,刘冰,刘博等)",YN-ET245,20090627,云南省,1400,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02237645.jpg,,,,,,,,,, +大杜若,Pollia hasskarlii,"李渤生,程树志",5024,19830610,西藏自治区,850,半常绿雨林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02237643.jpg,,,,,,,,,, +西藏暗罗,Polyalthia chinensis,青藏队,74-4451,19740820,西藏自治区,1000,山坡阔叶林内,乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/01187292.jpg,,,,,,,,,, +黄花远志,Polygala arillata,税玉民,2978,19930724,云南省,2500,土山地山沟密林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229272.jpg,,,,,,,,,, +黄花远志,Polygala arillata,徐洪贵,2700,19950622,四川省,1200,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229271.jpg,,,,,,,,,, +,Polygala crotalarioides,青藏队,6915,19750716,西藏自治区,2300,河谷林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932500.jpg,,,,,,,,,, +西南远志,Polygala crotalarioides,J.M.D.,,18880719,云南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00410653.jpg,,,,,,,,,, +西南远志,Polygala crotalarioides,梁畴芬,吴德邻,32732,19570600,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00017243.jpg,,,,,,,,,, +,Polygala didyma,T.T.Yu,20441,19380926,云南省,1250,under woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00630526.jpg,,,,,,,,,, +肾果远志,Polygala didyma,弄岗队,10811,19791006,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/005662.jpg,,,,,,,,,, +,Polygala elegans,西藏中草药普查队,459,19720607,西藏自治区,2380,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932453.jpg,,,,,,,,,, +,Polygala elegans,袁明,MY435,20091031,四川,1868,常绿针叶林,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237021.jpg,,,,,,,,,, +密花远志,Polygala karensium var. karensium,凌云普查队,4.51E+14,20130320,广西壮族自治区,1160,阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI063078.jpg,,,,,,,,,, +丽江远志,Polygala lijiangensis,施文良,570182,19570721,云南省,2950,野生,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0569590.jpg,,,,,,,,,, +,Polygala lijiangensis,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-025-B15,20160809,云南,,,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609119.jpg,,,,,,,,,, +单瓣远志,Polygala monopetala,杨竞生,91-522,1991-07-,西藏省,3750,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0142094.jpg,,,,,,,,,, +,Polygala monopetala,陈家辉,王赟,刘德团等,YangYP-Q-3293,20100923,西藏,3347,干旱河谷,石缝中,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237032.jpg,,,,,,,,,, +单瓣远志,Polygala monopetala,费勇,孙航,李德铢等,187,19900723,西藏自治区,3300,灌木丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0569615.jpg,,,,,,,,,, +,Polygala persicariifolia,攀枝花苏铁考察队,445,20100913,四川省,2109,灌草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01879921.jpg,,,,,,,,,, +,Polygala persicariifolia,贵州队,8154,19600813,贵州省,700,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01853463.jpg,,,,,,,,,, +,Polygala persicariifolia,安顺队,105,19590713,,900,路旁灌木丛旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01853455.jpg,,,,,,,,,, +西伯利亚远志,Polygala sibirica,PE西藏考察队,7979,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332536.jpg,,,,,,,,,, +西伯利亚远志,Polygala sibirica,刘天慰,199,19620523,山西省,1600,山沟沟底灌木丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229361.jpg,,,,,,,,,, +西伯利亚远志,Polygala sibirica,"野田光藏,傅沛云",222,19500610,内蒙古自治区,,山地向阳地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229360.jpg,,,,,,,,,, +小扁豆,Polygala tatarinowii,青藏队,8079,19820717,云南省,1700,山坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229160.jpg,,,,,,,,,, +小扁豆,Polygala tatarinowii,,9882,19750913,四川省,2700,向阳灌丛中草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229159.jpg,,,,,,,,,, +小扁豆,Polygala tatarinowii,河南队,2349,19600826,河南省,1000,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229158.jpg,,,,,,,,,, +远志,Polygala tenuifolia,陈全胜,CF11-4220,20180702,内蒙古自治区,681,石质山地草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246279.jpg,,,,,,,,,, +远志,Polygala tenuifolia,四川植物采集队,9523,19750731,四川省,2800,谷坡中部灌丛中路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229433.jpg,,,,,,,,,, +远志,Polygala tenuifolia,南水北调队 姜恕 金存礼,262,19590517,陕西省,1130,山坡侧柏林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229431.jpg,,,,,,,,,, +长毛籽远志,Polygala wattersii,梁畴芬,31163,19540416,广西壮族自治区,,山谷溪旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229137.jpg,,,,,,,,,, +长毛籽远志,Polygala wattersii,,10126,19580428,四川省,1320,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229138.jpg,,,,,,,,,, +长毛籽远志,Polygala wattersii,"Y.M.Shui together with W.H.Chen,J.S.Sheng etc.",20353,20020323,云南省,1700,in dense forests on the middle of hills,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229135.jpg,,,,,,,,,, +互卷黄精,Polygonatum alternicirrhosum,Harry Smith,10356,19340702,四川省,1600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01526493.jpg,,,,,,,,,, +互卷黄精,Polygonatum alternicirrhosum,熊耀国,6645,19500709,江西省,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00044735.jpg,,,,,,,,,, +互卷黄精,Polygonatum alternicirrhosum,康字,141,19800718,四川,,山野岩石上,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/SM/SM722205354.jpg,,,,,,,,,, +棒丝黄精,Polygonatum cathcartii,PE西藏考察队,7507,20180617,西藏自治区,3821,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331786.jpg,,,,,,,,,, +棒丝黄精,Polygonatum cathcartii,"Jin Xh,Wang LS Wang Q et al.",ST1185,20130727,云南省,2400~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977047.jpg,,,,,,,,,, +卷叶黄精,Polygonatum cirrhifolium,PE西藏考察队,7399,20180616,西藏自治区,3635,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332844.jpg,,,,,,,,,, +卷叶黄精,Polygonatum cirrhifolium,中国科学院北京植物园峨眉山采集队,E-068,20070521,四川省,1251,林间空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089937.jpg,,,,,,,,,, +卷叶黄精,Polygonatum cirrhifolium,中阳甲队,78,19550611,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060888.jpg,,,,,,,,,, +垂叶黄精,Polygonatum curvistylum,"Jin Xh,Wang LS,Wang Q et al.",ST0315,20130717,云南省,3500~3600,apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01978407.jpg,,,,,,,,,, +垂叶黄精,Polygonatum curvistylum,宋滋圃,38645,19540000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791754.jpg,,,,,,,,,, +三脉黄精,Polygonatum griffithii,青藏队植被组,2195,19740825,西藏自治区,2180,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01532391.jpg,,,,,,,,,, +三脉黄精,Polygonatum griffithii,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11940,20161116,西藏,2121,中山湿性常绿阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445587.jpg,,,,,,,,,, +粗毛黄精,Polygonatum hirtellum,"南水北调队,应俊生",4015,19600617,四川省,2900,密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00036829.jpg,,,,,,,,,, +粗毛黄精,Polygonatum hirtellum,Hand.-Mazz.,2564,19140525,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00036828.jpg,,,,,,,,,, +独花黄精,Polygonatum hookeri,PE西藏考察队,7301,20180615,西藏自治区,4154~4259,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332468.jpg,,,,,,,,,, +独花黄精,Polygonatum hookeri,"何铸,周子林",12666,19520000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791776.jpg,,,,,,,,,, +独花黄精,Polygonatum hookeri,,甘257,19631115,甘肃省,3710,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791777.jpg,,,,,,,,,, +滇黄精,Polygonatum kingianum,"Cribb.P.J, Chau.K.C.,Luo.Y.B. et al.",ASBK360,19970505,广西壮族自治区,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017758.jpg,,,,,,,,,, +滇黄精,Polygonatum kingianum,"Jin Xh,Wang LS,Wang Q et al.",ST0070,20130714,云南省,,apline shrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/02002593.jpg,,,,,,,,,, +滇黄精,Polygonatum kingianum,张清龙,5556,19630930,四川省,3900,高山小叶杜鹃灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01791763.jpg,,,,,,,,,, +大苞黄精,Polygonatum megaphyllum,刘鑫源,20855,19600717,山西省,1090,潮湿地沟底阳处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01791782.jpg,,,,,,,,,, +大苞黄精,Polygonatum megaphyllum,Hsien-Wu kung,s.n.,19530616,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791781.jpg,,,,,,,,,, +大苞黄精,Polygonatum megaphyllum,,613,19630611,吉林省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526559.jpg,,,,,,,,,, +玉竹,Polygonatum odoratum,陈全胜,CF-0006-156,20170824,内蒙古自治区,1881,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246886.jpg,,,,,,,,,, +玉竹,Polygonatum odoratum,老铁山采集队 王小平,380,20080711,辽宁省,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089786.jpg,,,,,,,,,, +玉竹,Polygonatum odoratum,昌平队,184,20010504,北京市,530,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040897.jpg,,,,,,,,,, +对叶黄精,Polygonatum oppositifolium,金效华,SET-ET 1179,20090904,西藏自治区,1500,under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01944264.jpg,,,,,,,,,, +对叶黄精,Polygonatum oppositifolium,刘成,蔡杰,张书东,13CS6448,20130528,西藏,770,林缘路边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1392214.jpg,,,,,,,,,, +,Polygonatum pendulum,青藏队,9644,19820826,云南省,2400,山坡 Tsuga林中附生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01146242.jpg,,,,,,,,,, +飘拂草,Polygonatum pendulum,植被组,30887,1983-6 3,四川省,2200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0165900.jpg,,,,,,,,,, +飘拂草,Polygonatum pendulum,叶喜阳,DSD1308029,20130808,浙江省,,水库边,草丛,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0033837.jpg,,,,,,,,,, +康定玉竹,Polygonatum prattii,林秦文,2013-237,20130602,云南省,2300,寺庙边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02065912.jpg,,,,,,,,,, +康定玉竹,Polygonatum prattii,T.T.Yu,5983,19370609,四川省,3100,under dense thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791736.jpg,,,,,,,,,, +康定玉竹,Polygonatum prattii,Chen Zhiduan et al.,960796,19960530,重庆市,2200~2370,damp valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526424.jpg,,,,,,,,,, +点花黄精,Polygonatum punctatum,"Cribb.P.J, Chau.K.C.,Luo.Y.B. et al.",ASBK219,19970428,广西壮族自治区,1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017759.jpg,,,,,,,,,, +点花黄精,Polygonatum punctatum,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",407,20130422,四川省,1624,路旁潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994180.jpg,,,,,,,,,, +点花黄精,Polygonatum punctatum,Shui Yumin et al.,10580,19990908,云南省,1900,top of Mt.on tree trunk,,无花有果,https://image.cvh.ac.cn/files/l/PE/01944257.jpg,,,,,,,,,, +格脉黄精,Polygonatum tessellatum,赵常明,EX0523,20070907,湖北省,1980,阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01823187.jpg,,,,,,,,,, +格脉黄精,Polygonatum tessellatum,780植被组,615,19781125,云南省,2300,河谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01479691.jpg,,,,,,,,,, +格脉黄精,Polygonatum tessellatum,胡考农,20526,19790805,四川省,0~3840,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0644783.jpg,,,,,,,,,, +轮叶黄精,Polygonatum verticillatum,PE西藏考察队,7877,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332894.jpg,,,,,,,,,, +轮叶黄精,Polygonatum verticillatum,J.Chrtek et H.Pistulkiva,,19640616,,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023792.jpg,,,,,,,,,, +轮叶黄精,Polygonatum verticillatum,"尹志坚,董洪进",566,20090420,云南省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005553.jpg,,,,,,,,,, +湖北黄精,Polygonatum zanlanscianense,北京队,896301,19890908,广西壮族自治区,1000,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017757.jpg,,,,,,,,,, +湖北黄精,Polygonatum zanlanscianense,,581,19870726,湖南省,1000,山坡杉木幼林杂草中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948788.jpg,,,,,,,,,, +湖北黄精,Polygonatum zanlanscianense,钟志宇,590,19930621,甘肃省,2700,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01938752.jpg,,,,,,,,,, +密穗蓼,Polygonum affine,FLPH Tibet Expedition,12-0358,20120909,西藏自治区,4600~4700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967897.jpg,,,,,,,,,, +密穗蓼,Polygonum affine,M.A.Sidigi et al.,4119,19660820,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00164047.jpg,,,,,,,,,, +高山蓼,Polygonum alpinum,"李安仁,朱家楠",10692,19590717,新疆维吾尔自治区,1700,山地阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100112.jpg,,,,,,,,,, +高山蓼,Polygonum alpinum,"石硕,祝东立,祝振清",SZ3755,20140808,河北省,1394,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031022.jpg,,,,,,,,,, +高山蓼,Polygonum alpinum,,1028,19650820,北京市,1670,山顶 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01218470.jpg,,,,,,,,,, +,Polygonum amphibium,黄河队,7284,19560709,内蒙古自治区,1350,草地水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082042.jpg,,,,,,,,,, +,Polygonum amphibium,黄河队,7914,19560908,甘肃省,,水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082041.jpg,,,,,,,,,, +,Polygonum amphibium,石硕,SZ3610,20140721,河北省,832,水边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036392.jpg,,,,,,,,,, +抱茎蓼,Polygonum amplexicaule,PE西藏考察队,7826,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333060.jpg,,,,,,,,,, +抱茎蓼,Polygonum amplexicaule,巴山采集队,4271,20100804,陕西省,1400,杂草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059883.jpg,,,,,,,,,, +抱茎蓼,Polygonum amplexicaule,泛喜马拉雅植物志巴基斯坦采集队,1805,20120915,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005872.jpg,,,,,,,,,, +萹蓄,Polygonum aviculare,周口店考察队,243,20080927,北京市,148,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112025.jpg,,,,,,,,,, +萹蓄,Polygonum aviculare,,,19451008,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110156.jpg,,,,,,,,,, +萹蓄,Polygonum aviculare,,130,19790721,辽宁省,,尾矿坝水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094384.jpg,,,,,,,,,, +毛蓼,Polygonum barbatum,金孝锋,308,20120529,云南省,,河道,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063278.jpg,,,,,,,,,, +毛蓼,Polygonum barbatum,北京队,896867,19890906,广西壮族自治区,450,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985771.jpg,,,,,,,,,, +毛蓼,Polygonum barbatum,Pi-Fong Lu,19099,20091025,台湾省,150,水田湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873755.jpg,,,,,,,,,, +,Polygonum campanulatum var. campanulatum,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-1108-T05-003079,20171204,,2590,on the slope of riverside,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1447346.jpg,,,,,,,,,, +钟花蓼(原变种),Polygonum campanulatum var. campanulatum,付筱,雷嘉卿,周雨阳,LJQ-A-006-008,20200919,四川,3401.40332,路边,阴生或中生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02061606.jpg,,,,,,,,,, +绒毛钟花蓼,Polygonum campanulatum var. fulvidum,刘恩德,5003,20020709,云南省,3410,山坡沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922274.jpg,,,,,,,,,, +绒毛钟花蓼,Polygonum campanulatum var. fulvidum,,960391,19960714,四川省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869424.jpg,,,,,,,,,, +绒毛钟花蓼,Polygonum campanulatum var. fulvidum,任再金,1-123,19910724,西藏自治区,3800,路旁沟边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833594.jpg,,,,,,,,,, +头花蓼,Polygonum capitatum,PE西藏队,PE6725,20170916,西藏自治区,3568,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293731.jpg,,,,,,,,,, +头花蓼,Polygonum capitatum,覃海宁等,520,19980412,广西壮族自治区,1100,石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985787.jpg,,,,,,,,,, +,Polygonum chinense var. chinense,孙航,张建文,邓涛,朱鑫鑫,Sunhang11560,20120530,台湾省,2300,草丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1260269.jpg,,,,,,,,,, +火炭母,Polygonum chinense var. chinense,殷建涛,李剑武,1918,20101209,云南,1000,河边,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029926.jpg,,,,,,,,,, +火炭母,Polygonum chinense var. chinense,李健玲、陈海玲,GPS190823029,20190823,广西,,山地、山谷、疏林、黄壤,直立草本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI074613.jpg,,,,,,,,,, +宽叶火炭母,Polygonum chinense var. ovalifolium,Shui Yumin et al.,10224,19990827,云南省,2000,on barren land,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869451.jpg,,,,,,,,,, +宽叶火炭母,Polygonum chinense var. ovalifolium,任再金,1-1050,19821005,西藏自治区,1700,山谷中小路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832401.jpg,,,,,,,,,, +,Polygonum chinense var. paradoxum,"H.Li,S.X.Yang,R.Li etc.",930,20021108,云南省,2580,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109128.jpg,,,,,,,,,, +,Polygonum chinense var. paradoxum,毕节队,377,19590725,贵州省,1600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458650.jpg,,,,,,,,,, +岩蓼,Polygonum cognatum,青藏队,76-8053,19760627,西藏自治区,4600,山坡砂砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00233955.jpg,,,,,,,,,, +岩蓼,Polygonum cognatum,,6281,19580801,新疆维吾尔自治区,2500,河漫滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00233949.jpg,,,,,,,,,, +革叶蓼,Polygonum coriaceum,北京所横断山队,3227,19810818,云南省,,高山 灌丛 草甸中常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447736.jpg,,,,,,,,,, +革叶蓼,Polygonum coriaceum,"郎楷永,李良千,费勇",833,19820731,四川省,4000~4750,高山 栎灌丛-高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062979.jpg,,,,,,,,,, +蓝药蓼,Polygonum cyanandrum,"朱大海,张超,李小杰",4639,20070811,四川省,2600,路边,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869255.jpg,,,,,,,,,, +蓝药蓼,Polygonum cyanandrum,白水江采集队,5698,20070905,甘肃省,2400~2700,林缘 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658715.jpg,,,,,,,,,, +,Polygonum delicatulum,FLPH Tibet Expedition,12-1740,20120919,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967883.jpg,,,,,,,,,, +,Polygonum delicatulum,北京所横断山队,3011,19810811,云南省,3880,高山 沼泽 草甸中常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447672.jpg,,,,,,,,,, +,Polygonum delicatulum,,W-21,19810824,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377082.jpg,,,,,,,,,, +叉分蓼,Polygonum divaricatum,陈全胜,CF04-4038,20180625,内蒙古自治区,1708,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247014.jpg,,,,,,,,,, +叉分蓼,Polygonum divaricatum,山西植物所调查队,597,19530818,山西省,1730,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01567740.jpg,,,,,,,,,, +叉分蓼,Polygonum divaricatum,张无休等,70,19840721,河北省,1750,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01546075.jpg,,,,,,,,,, +,Polygonum emodi var. dependens,蓝顺彬,169,19840819,云南省,2500,岩石脚下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01605198.jpg,,,,,,,,,, +,Polygonum emodi var. dependens,王启无,65175,19350800,西藏自治区,3000,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00384919.jpg,,,,,,,,,, +,Polygonum emodi var. dependens,川经植,3520,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00384896.jpg,,,,,,,,,, +细茎蓼,Polygonum filicaule,PE西藏队,PE6110,20170907,西藏自治区,4398,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293729.jpg,,,,,,,,,, +细茎蓼,Polygonum filicaule,巴山采集队,3766,20100731,四川省,1900,路边 林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059887.jpg,,,,,,,,,, +大铜钱叶蓼,Polygonum forrestii,汤宗孝,610,19810715,云南省,4550,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01605187.jpg,,,,,,,,,, +大铜钱叶蓼,Polygonum forrestii,"李渤生,程树志",677,19820905,西藏自治区,3800~4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491814.jpg,,,,,,,,,, +冰川蓼,Polygonum glaciale,FLPH Tibet Expedition,12-0508,20120912,西藏自治区,3559,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967889.jpg,,,,,,,,,, +冰川蓼,Polygonum glaciale,李良千等,156,20110908,甘肃省,2614,山坡沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901132.jpg,,,,,,,,,, +冰川蓼,Polygonum glaciale,J.I.Jeon et al.,SI1365,20100810,四川省,3675,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900710.jpg,,,,,,,,,, +,Polygonum griffithii,PE西藏考察队,7090,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332732.jpg,,,,,,,,,, +,Polygonum griffithii,北京所横断山队,763,19810622,云南省,3700~3800,冷杉林业局及高山草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447696.jpg,,,,,,,,,, +长箭叶蓼,Polygonum hastato-sagittatum,黄河队,2471,19550705,山西省,2150,山坡阳处草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081800.jpg,,,,,,,,,, +长箭叶蓼,Polygonum hastato-sagittatum,覃海宁等,18284,20041121,江西省,83,山谷沟边,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01842665.jpg,,,,,,,,,, +长箭叶蓼,Polygonum hastato-sagittatum,Tanaka,1949,19111006,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01697895.jpg,,,,,,,,,, +硬毛蓼,Polygonum hookeri,PE西藏考察队,7297,20180615,西藏自治区,4154~4259,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331782.jpg,,,,,,,,,, +硬毛蓼,Polygonum hookeri,汤宗孝,1203,19830629,四川省,4150,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01605166.jpg,,,,,,,,,, +硬毛蓼,Polygonum hookeri,北京所横断山队,2114,19810728,云南省,4100~4250,高山 草甸上部偶见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447687.jpg,,,,,,,,,, +水蓼,Polygonum hydropiper,陈全胜,CF-0007-185,20170825,内蒙古自治区,462,碱化草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246858.jpg,,,,,,,,,, +水蓼,Polygonum hydropiper,周口店采集队,241,20080927,北京市,148,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112023.jpg,,,,,,,,,, +水蓼,Polygonum hydropiper,,129,19790721,辽宁省,,尾矿坝水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094385.jpg,,,,,,,,,, +蚕茧草,Polygonum japonicum,PE西藏队,PE6310,20170911,西藏自治区,2445,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891967.jpg,,,,,,,,,, +蚕茧草,Polygonum japonicum,"S.K.Wu,Y.M.Shui et al.",356,19951029,云南省,1700~1900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01869443.jpg,,,,,,,,,, +蚕茧草,Polygonum japonicum,谭策铭,95503,19950801,江西省,28,湖滨铁路墈脚灌草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01869182.jpg,,,,,,,,,, +,Polygonum kawagoeanum,巴山采集队,3480,20100723,陕西省,1243,荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059880.jpg,,,,,,,,,, +,Polygonum kawagoeanum,税玉民等,70677,20060809,云南省,,河边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859802.jpg,,,,,,,,,, +,Polygonum kawagoeanum,"程树志,李渤生",3127,19821126,西藏自治区,1200,水沟旁 路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491790.jpg,,,,,,,,,, +,Polygonum lapathifolium var. lapathifolium,"叶喜阳, 李建波, 袁井泉",Zjyxy2017042,20170926,浙江,422,溪边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452703.jpg,,,,,,,,,, +酸模叶蓼,Polygonum lapathifolium var. lapathifolium,2020年芦头实习采集队,LT076,20200922,湖南,400,林缘路边,,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI074618.jpg,,,,,,,,,, +酸模叶蓼,Polygonum lapathifolium var. lapathifolium,田林普查队,4.51E+14,20130727,广西壮族自治区,469,草丛,沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI055341.jpg,,,,,,,,,, +绵毛酸模叶蓼,Polygonum lapathifolium var. salicifolium,周口店考察队,70,20080712,北京市,88,河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112027.jpg,,,,,,,,,, +绵毛酸模叶蓼,Polygonum lapathifolium var. salicifolium,巴山采集队,6203,20120708,四川省,700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066006.jpg,,,,,,,,,, +绵毛酸模叶蓼,Polygonum lapathifolium var. salicifolium,H.E.Ahles,85454,19780707,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01697653.jpg,,,,,,,,,, +丽江蓼,Polygonum lichiangense,中甸队,1333,19620825,云南省,3750,山坡灌丛 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00513937.jpg,,,,,,,,,, +丽江蓼,Polygonum lichiangense,S.S.Sin,51509,19310808,贵州省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0157769.jpg,,,,,,,,,, +长鬃蓼,Polygonum longisetum,巴山采集队,6091,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066005.jpg,,,,,,,,,, +长鬃蓼,Polygonum longisetum,石硕等,SZ4248,20141006,河北省,1104,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063226.jpg,,,,,,,,,, +长鬃蓼,Polygonum longisetum,云台山采集队,1042,20090800,河南省,,路边墙缝中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02039867.jpg,,,,,,,,,, +圆穗蓼(原变种),Polygonum macrophyllum var. macrophyllum,郭先林、任婷,2036297,20200710,四川,4525,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02036297.jpg,,,,,,,,,, +圆穗蓼,Polygonum macrophyllum var. macrophyllum,高山检测团队,MJW-55,20061008,云南,4354,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008295.jpg,,,,,,,,,, +狭叶圆穗蓼,Polygonum macrophyllum var. stenophyllum,FLPH Tibet Expedition,12-1998,,西藏自治区,4200,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967869.jpg,,,,,,,,,, +狭叶圆穗蓼,Polygonum macrophyllum var. stenophyllum,D.E.Boufford et al.,36043,20060808,四川省,4300~4350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579769.jpg,,,,,,,,,, +腺梗小头蓼,Polygonum microcephalum var. sphaerocephalum,巴山采集队,3068,20100723,四川省,740,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059458.jpg,,,,,,,,,, +腺梗小头蓼,Polygonum microcephalum var. sphaerocephalum,PE西藏队,PE5821,20170903,西藏自治区,3401,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891981.jpg,,,,,,,,,, +大海蓼,Polygonum milletii,兆河队,3148,19570526,甘肃省,2600,山坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868821.jpg,,,,,,,,,, +大海蓼,Polygonum milletii,T.N.Liou P.C.Tsoong,1183,19370923,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00512539.jpg,,,,,,,,,, +大海蓼,Polygonum milletii,,7368,19740709,四川省,3700,沟边 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00512538.jpg,,,,,,,,,, +光叶蓼,Polygonum molle var. frondosum,"王印政,彭华,邓德山等",4711,19981024,云南省,1350,山地 山坡 密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01568107.jpg,,,,,,,,,, +光叶蓼,Polygonum molle var. frondosum,青藏队,73-840,19730721,西藏自治区,2100,山坡 常绿林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00512595.jpg,,,,,,,,,, +绢毛蓼,Polygonum molle var. molle,田林普查队,4.51E+14,20130912,广西壮族自治区,1067,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI055327.jpg,,,,,,,,,, +绢毛蓼,Polygonum molle var. molle,方震东、海仙、谢爱芳、格茸拉姆,DJDC-500,20160517,云南省,2874,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000346.jpg,,,,,,,,,, +绢毛蓼,Polygonum molle var. molle,方震东,183,20031017,云南,3400,,草本,有花有果,https://image.cvh.ac.cn/files/l/SABG/SABG008921.jpg,,,,,,,,,, +倒毛蓼,Polygonum molle var. rude,"尹志坚,董洪进",972,20090712,云南省,2100,roadsises,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026533.jpg,,,,,,,,,, +倒毛蓼,Polygonum molle var. rude,覃海宁等,1986,19981103,广西壮族自治区,1500,山地山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985819.jpg,,,,,,,,,, +倒毛蓼,Polygonum molle var. rude,FLPH Tibet Expedition,12-0986,20120904,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967862.jpg,,,,,,,,,, +小蓼花,Polygonum muricatum,尹志坚等,1909,20090909,云南省,2300,"roadsides, forest margins",,有花无果,https://image.cvh.ac.cn/files/l/PE/02026691.jpg,,,,,,,,,, +小蓼花,Polygonum muricatum,北京队,892559,19890510,广西壮族自治区,1200,山谷潮湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985831.jpg,,,,,,,,,, +小蓼花,Polygonum muricatum,罗林波,316,19941001,湖南省,600,水圳旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01900965.jpg,,,,,,,,,, +尼泊尔蓼,Polygonum nepalense,PE西藏队,PE6029,20170906,西藏自治区,2935,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293796.jpg,,,,,,,,,, +尼泊尔蓼,Polygonum nepalense,"川西队,关克俭,王文采等",2368,19630905,四川省,1550,院内阴湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092932.jpg,,,,,,,,,, +尼泊尔蓼,Polygonum nepalense,"H.Li,S.X.Yang,R.Li etc.",309,20020815,云南省,2550,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090859.jpg,,,,,,,,,, +铜钱叶蓼,Polygonum nummularifolium,FLPH Tibet Expedition,12-1732,20120919,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967859.jpg,,,,,,,,,, +铜钱叶蓼,Polygonum nummularifolium,王启无,71607,19351000,云南省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00497239.jpg,,,,,,,,,, +,Polygonum orientale,周口店考察队,192,20080927,北京市,148,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112022.jpg,,,,,,,,,, +,Polygonum orientale,云台山采集队,281,20080924,河南省,,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036765.jpg,,,,,,,,,, +,Polygonum orientale,徐连升,X140083,20140816,黑龙江省,93,河岸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036516.jpg,,,,,,,,,, +草血竭(原变种),Polygonum paleaceum var. paleaceum,张桥蓉;余华,ZhangYH264,20200919,云南,2361,灌草丛中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551539.jpg,,,,,,,,,, +线叶蓼,Polygonum paronychioides,青藏队,12915,19760630,西藏自治区,3500,干旱 卵石 沙滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00513445.jpg,,,,,,,,,, +线叶蓼,Polygonum paronychioides,D.Litwinow.,3966,19010721,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0118014.jpg,,,,,,,,,, +杠板归,Polygonum perfoliatum,覃海宁 于胜祥 刘博 叶建飞 黄云峰,19571,20080425,广西壮族自治区,625,路边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112454.jpg,,,,,,,,,, +杠板归,Polygonum perfoliatum,关克俭 王文采,3445,19630913,四川省,850,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108419.jpg,,,,,,,,,, +杠板归,Polygonum perfoliatum,川黔队,287,19560512,重庆市,,山 山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083609.jpg,,,,,,,,,, +习见蓼,Polygonum plebeium,周口店考察队,162,20080927,北京市,140,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112024.jpg,,,,,,,,,, +习见蓼,Polygonum plebeium,"K.R.McDonald,Jensen,R.",KRM10244,20101211,,,ephemeral swamp on basalt plain clay and basalt rock plain,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109183.jpg,,,,,,,,,, +习见蓼,Polygonum plebeium,川黔队,384,19560529,重庆市,,山坡平坦地公路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083599.jpg,,,,,,,,,, +,Polygonum polystachyum var. longifolium,K.M.Feng,7122,19400929,云南省,2200~2500,沟边 杂草中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00496354.jpg,,,,,,,,,, +长叶多穗蓼,Polygonum polystachyum var. longifolium,Bulley,,,江苏; KIANGSU,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00062731.jpg,,,,,,,,,, +,Polygonum polystachyum var. polystachyum,"张挺, 刘成, 亚吉东",18CS17596,20180912,西藏,3285,灌丛林缘草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484231.jpg,,,,,,,,,, +多穗蓼(原变种),Polygonum polystachyum var. polystachyum,朱鑫鑫、陈彬、沈彬、宋以刚,CSH06610,20140728,四川省,4118.6,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0037322.jpg,,,,,,,,,, +多穗蓼 (原变种),Polygonum polystachyum var. polystachyum,白洪兵、和仕波,533324180819367LY,20180819,云南,3064.7,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG010050.jpg,,,,,,,,,, +,Polygonum runcinatum var. runcinatum,孙航,张建文,邓涛,朱鑫鑫,Sunhang11368,20120529,台湾省,2650,林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1260562.jpg,,,,,,,,,, +羽叶蓼(原变种),Polygonum runcinatum var. runcinatum,朱鑫鑫、陈彬、沈彬、宋以刚,CSH07188,20140808,四川省,3077.3,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0037805.jpg,,,,,,,,,, +羽叶蓼,Polygonum runcinatum var. runcinatum,张代贵,zdg1405310367,20140531,湖南省,223,生灌丛,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU05835.jpg,,,,,,,,,, +赤胫散,Polygonum runcinatum var. sinense,北京队,893063,19890521,广西壮族自治区,750,山谷沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985875.jpg,,,,,,,,,, +赤胫散,Polygonum runcinatum var. sinense,攀枝花苏铁考察队,580,20100917,四川省,2227,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869431.jpg,,,,,,,,,, +赤胫散,Polygonum runcinatum var. sinense,巴山采集队,464,20080706,重庆市,1620,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860728.jpg,,,,,,,,,, +西伯利亚蓼 (原变种),Polygonum sibiricum var. sibiricum,郭先林、卫静丽,2036601,20200711,四川,4525,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02036601.jpg,,,,,,,,,, +西伯利亚蓼(原变种),Polygonum sibiricum var. sibiricum,中国科学院植物研究所植物标本室,1345,19560600,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI007141.jpg,,,,,,,,,, +细叶西伯利亚蓼,Polygonum sibiricum var. thomsonii,PE西藏考察队,7555,20180620,西藏自治区,4158,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331843.jpg,,,,,,,,,, +翅柄蓼,Polygonum sinomontanum,PE西藏队,PE6816,20170917,西藏自治区,3971,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293905.jpg,,,,,,,,,, +翅柄蓼,Polygonum sinomontanum,,H16,19810730,云南省,3720,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01818069.jpg,,,,,,,,,, +腺点柔毛蓼,Polygonum sparsipilosum var. hubertii,T.N.Liou & P.C.Tsoong,2520,19380720,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00443775.jpg,,,,,,,,,, +腺点柔毛蓼,Polygonum sparsipilosum var. hubertii,Hopkinson,840,19300803,青海省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00443768.jpg,,,,,,,,,, +腺点柔毛蓼,Polygonum sparsipilosum var. hubertii,T.P. Wang,1761,1933/8/3,陕西省  ,,,prostrate suculent herb,无花无果,https://image.cvh.ac.cn/files/l/WUK/0001790.jpg,,,,,,,,,, +糙毛蓼,Polygonum strigosum,陈伟烈,10886,19800704,西藏自治区,900,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494019.jpg,,,,,,,,,, +糙毛蓼,Polygonum strigosum,"张寿洲,李良千等",2456,20050704,广东省,100~50,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01400282.jpg,,,,,,,,,, +糙毛蓼,Polygonum strigosum,H.T.Tsai,60667,19340705,云南省,1300,on rocks by stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/00443848.jpg,,,,,,,,,, +细穗支柱蓼,Polygonum suffultum var. pergracile,巴山采集队,5039,20110629,四川省,1818,山脊,,有花无果,https://image.cvh.ac.cn/files/l/PE/01872634.jpg,,,,,,,,,, +细穗支柱蓼,Polygonum suffultum var. pergracile,王映明,4822,19860707,湖北省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859169.jpg,,,,,,,,,, +,Polygonum suffultum var. suffultum,王乾、顾健,SCW0028,20200602,四川,2985,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274737.jpg,,,,,,,,,, +细叶蓼,Polygonum taquetii,赤峰采集队,2-013,20080723,内蒙古自治区,1745,亚高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02012156.jpg,,,,,,,,,, +细叶蓼,Polygonum taquetii,朱秋桂等,342,20020920,浙江省,,植物园标本室屋边草丛中阴,,有花有果,https://image.cvh.ac.cn/files/l/PE/01569966.jpg,,,,,,,,,, +细叶蓼,Polygonum taquetii,段林东,4647,20041024,湖南省,450,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00640291.jpg,,,,,,,,,, +戟叶蓼,Polygonum thunbergii,江广渝,4075,20100731,四川省,2298,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059888.jpg,,,,,,,,,, +戟叶蓼,Polygonum thunbergii,Chien-Fan Chen,4337,20121127,台湾省,1100,stream side,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044161.jpg,,,,,,,,,, +戟叶蓼,Polygonum thunbergii,Miyoshi Furuse,46968,19680906,,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01979591.jpg,,,,,,,,,, +西藏蓼,Polygonum tibeticum,黄河队,8374,19560901,陕西省,,灌丛地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067354.jpg,,,,,,,,,, +西藏蓼,Polygonum tibeticum,横断山队植被组,4556,19830710,云南省,4250,高山 Sabina 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447630.jpg,,,,,,,,,, +西藏蓼,Polygonum tibeticum,青藏队,7492,19750906,西藏自治区,4800,河滩 草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00425981.jpg,,,,,,,,,, +叉枝蓼,Polygonum tortuosum,PE西藏考察队,7675,20180622,西藏自治区,4991,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332713.jpg,,,,,,,,,, +乌饭树叶蓼,Polygonum vaccinifolium,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0944,20130811,西藏自治区,3800,山谷 砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000516.jpg,,,,,,,,,, +乌饭树叶蓼,Polygonum vaccinifolium,,749,19750722,云南省,3500,河边 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00512030.jpg,,,,,,,,,, +珠芽蓼,Polygonum viviparum,PE西藏考察队,7777,20180624,西藏自治区,3611,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332753.jpg,,,,,,,,,, +珠芽蓼,Polygonum viviparum,"川西队,关克俭,王文采等",关王816,19630720,四川省,3500,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093042.jpg,,,,,,,,,, +珠芽蓼,Polygonum viviparum,关克俭,1290,19570708,新疆维吾尔自治区,,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090773.jpg,,,,,,,,,, +球序蓼,Polygonum wallichii,S.K.WU et al.,3679,19960929,云南省,2880,Under dense forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846273.jpg,,,,,,,,,, +球序蓼,Polygonum wallichii,,738,19590802,西藏自治区,2700,落叶 阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00425410.jpg,,,,,,,,,, +棒头草,Polypogon fugax,"Li Heng,Yang Shixiong,Lei Ligong et Ji Yunheng",1505,20030416,云南省,2490,常绿阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308963.jpg,,,,,,,,,, +棒头草,Polypogon fugax,C.M.Wang,W05066,20010725,台湾省,2130,on roadside f mixed coniferous-broadleaf forest exposed site,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088923.jpg,,,,,,,,,, +棒头草,Polypogon fugax,攀枝花苏铁考察队(杨永等),73,20100711,四川省,1613,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088594.jpg,,,,,,,,,, +裂颖棒头草,Polypogon maritimus,刘冰,942,20070806,新疆维吾尔自治区,1214,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043383.jpg,,,,,,,,,, +裂颖棒头草,Polypogon maritimus,,s.n.,19240717,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01677124.jpg,,,,,,,,,, +裂颖棒头草,Polypogon maritimus,何国生,10057,19980601,福建省,200,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437567.jpg,,,,,,,,,, +长芒棒头草,Polypogon monspeliensis,秦仁昌,2256,19560820,新疆维吾尔自治区,900,水塘边上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230497.jpg,,,,,,,,,, +长芒棒头草,Polypogon monspeliensis,E.Wieslander,,19770603,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102293.jpg,,,,,,,,,, +长芒棒头草,Polypogon monspeliensis,黄河队,7340,19560710,内蒙古自治区,,潮湿草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094294.jpg,,,,,,,,,, +羽叶点地梅,Pomatosace filicula,"T.N.Ho,B.Bartholomew M.Watson et al",1628,19960811,青海省,4300,Growing near road and in frost heave areas,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589023.jpg,,,,,,,,,, +羽叶点地梅,Pomatosace filicula,白龙江考察队,1615,19990601,甘肃省,3300,河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560384.jpg,,,,,,,,,, +羽叶点地梅,Pomatosace filicula,陶德定,10759,19760803,西藏自治区,4600~4700,河滩石砾缝中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01502422.jpg,,,,,,,,,, +短距红门兰,Ponerorchis brevicalcarata,亚吉东,冯明建,李昌洪,20CS19121,20200706,云南,2718,云南松林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505586.jpg,,,,,,,,,, +,Ponerorchis chrysea,"Forrest, George",14738,17-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00162680.jpg,,,,,,,,,, +,Ponerorchis chusua,PE西藏考察队,7662,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331723.jpg,,,,,,,,,, +,Ponerorchis chusua,Xiaohua Jin,16134,20150720,云南省,3600~3900,conifer forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233029.jpg,,,,,,,,,, +,Ponerorchis chusua,Luo Yi-bo,834,20020726,四川省,2940,苔藓丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01681728.jpg,,,,,,,,,, +,Ponerorchis crenulata,"Forrest, George",5786,10-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00162681.jpg,,,,,,,,,, +华西小红门兰,Ponerorchis limprichtii,彭玉兰、余奇、李林霖,THP-KD-1390,20170617,四川,3768~4150,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244754.jpg,,,,,,,,,, +响叶杨,Populus adenopoda,王功范,1-1048,20050401,贵州省,850,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01579228.jpg,,,,,,,,,, +响叶杨,Populus adenopoda,,60,19791029,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01487935.jpg,,,,,,,,,, +响叶杨,Populus adenopoda,北京队,328,19880529,湖南省,250~350,常绿阔叶林带路边沟旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01353178.jpg,,,,,,,,,, +喀什阿富汗杨,Populus afghanica var. tadishistanica,杨昌友,750273,19750612,新疆维吾尔自治区,2000,路边栽,,无花有果,https://image.cvh.ac.cn/files/l/PE/00603939.jpg,,,,,,,,,, +青杨,Populus cathayana var. cathayana,K.Ling,1494,19250703,山西,1066.8,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2018451.jpg,,,,,,,,,, +青杨,Populus cathayana var. cathayana,K.Ling,115034,19840701,青海,,,,有花有果,https://image.cvh.ac.cn/files/l/NF/NF2018461.jpg,,,,,,,,,, +青杨,Populus cathayana var. cathayana,丁衍畴,2016,19300801,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2018462.jpg,,,,,,,,,, +宽叶青杨,Populus cathayana var. latifolia,中国科学院青甘调查队,3244,19600713,甘肃省,2550,山谷河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00604307.jpg,,,,,,,,,, +宽叶青杨,Populus cathayana var. latifolia,刘继孟,1556,19570714,山西省,1700,阳处路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/00604306.jpg,,,,,,,,,, +维西缘毛杨,Populus ciliata var. weixi,K.M.Feng,3594,19400502,云南省,2300,沟边,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00604320.jpg,,,,,,,,,, +山杨,Populus davidiana var. davidiana,张志英,451,1958/9/5,甘肃,1630,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0102442.jpg,,,,,,,,,, +山杨,Populus davidiana var. davidiana,W.Y.Hsia,3052,1931/8/7,,1700,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0000314.jpg,,,,,,,,,, +山杨,Populus davidiana var. davidiana,,198,1961/5/11,陕西省,1200,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0170080.jpg,,,,,,,,,, +茸毛山杨,Populus davidiana var. tomentella,邱炳云,57917,19570400,云南省,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0522874.jpg,,,,,,,,,, +毛山杨,Populus davidiana var. tomentella,刘正宇,20168-01,19960407,重庆市,750,杂木林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0027691.jpg,,,,,,,,,, +胡杨,Populus euphratica,刘冰,926,20070805,新疆维吾尔自治区,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02041065.jpg,,,,,,,,,, +胡杨,Populus euphratica,,,19010830,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900880.jpg,,,,,,,,,, +灰背杨,Populus glauca,汪永泽等,98,19810925,西藏自治区,3200,河边杂木林中,乔木,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0000680.jpg,,,,,,,,,, +灰背杨,Populus glauca,朱鑫鑫;王君;王美华;林庶;许敏;多吉;尼玛顿珠,ZXX201425,20200801,西藏,2694,水边林下,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1508930.jpg,,,,,,,,,, +大果德钦杨,Populus haoana var. macrocarpa,姜恕等,9619,19600625,四川省,3600,沟边,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00604800.jpg,,,,,,,,,, +大果德钦杨,Populus haoana var. macrocarpa,姜恕等,10051,19600615,云南省,3300,行道树,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00002951.jpg,,,,,,,,,, +小果德钦杨,Populus haoana var. microcarpa,,23366,19590828,云南省,3200,村边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0522942.jpg,,,,,,,,,, +康定杨,Populus kangdingensis,关克俭 王文采等,900,19630724,四川省,3500,屋旁、路边,乔木,无花无果,https://image.cvh.ac.cn/files/l/PE/00605081.jpg,,,,,,,,,, +康定杨,Populus kangdingensis,任宪威,78014,19780621,西藏自治区,3200,沟谷,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00031049.jpg,,,,,,,,,, +,Populus lancifolia,"张昌兵,向丽",ZhangCB0168,20080613,四川省,3600,亚高山针叶林林间草地,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1325708.jpg,,,,,,,,,, +大叶杨,Populus lasiocarpa,龙茹,90257,20090517,湖北省,1560,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01963572.jpg,,,,,,,,,, +大叶杨,Populus lasiocarpa,植物所三峡考察队,1704,20080716,重庆市,1810~1931,水沟里,,有花无果,https://image.cvh.ac.cn/files/l/PE/01963569.jpg,,,,,,,,,, +大叶杨,Populus lasiocarpa,,1582,19421112,贵州省,800,石灰岩上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01600654.jpg,,,,,,,,,, +米林杨,Populus mainlingensis,西藏中草药普查队,4117,19720720,西藏自治区,3500,山坡,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00605261.jpg,,,,,,,,,, +米林杨,Populus mainlingensis,青藏队,3954,1981-8 9,四川省,3800,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0010245.jpg,,,,,,,,,, +帕米杨,Populus pamirica,"李安仁,朱家楠",8425,19580918,新疆维吾尔自治区,1980,河边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00605343.jpg,,,,,,,,,, +帕米杨,Populus pamirica,西植新疆队,2201,1978/7/31,新疆维吾尔族自治区,2800,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0337384.jpg,,,,,,,,,, +青甘杨,Populus przewalskii,郭本兆,7424,19700727,青海省,,院内,,无花有果,https://image.cvh.ac.cn/files/l/PE/00605403.jpg,,,,,,,,,, +青甘杨,Populus przewalskii,黄河调查队,168,19540630,甘肃省,1490,山谷、阴处、疏林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00605401.jpg,,,,,,,,,, +青甘杨,Populus przewalskii,傅坤俊,7984,19540407,陕西省,,山沟石崖下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00605399.jpg,,,,,,,,,, +长序杨,Populus pseudoglauca,应俊生 洪德元,650310,19650626,西藏自治区,2650,冲积扇 Populus林边丛中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00934195.jpg,,,,,,,,,, +,Populus pseudoglauca,"陈家辉,王赟,刘德团等",YangYP-Q-3020,20100909,四川省,3182,路边灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1325959.jpg,,,,,,,,,, +冬瓜杨,Populus purdomii var. purdomii,,3月12日,19560710,新疆,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2018586.jpg,,,,,,,,,, +冬瓜杨,Populus purdomii var. purdomii,马多士,67,,陕西,1800,,,有花有果,https://image.cvh.ac.cn/files/l/NF/NF2018587.jpg,,,,,,,,,, +光皮冬瓜杨,Populus purdomii var. rockii,魏志平,1816,1958/8/15,甘肃,1680,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0404513.jpg,,,,,,,,,, +光皮冬瓜杨,Populus purdomii var. rockii,魏志平,1816,19580815,甘肃省,1680,低山坡,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0404513.jpg,,,,,,,,,, +光皮冬瓜杨,Populus purdomii var. rockii,郭本兆 王为义,25006,19810605,青海省,2500,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/98561.jpg,,,,,,,,,, +昌都杨,Populus qamdoensis,"李渤生,程树志",879,19820912,西藏自治区,,河边优势种,,无花无果,https://image.cvh.ac.cn/files/l/PE/01490810.jpg,,,,,,,,,, +昌都杨,Populus qamdoensis,费勇,孙航,李德铢等,1,19900709,云南省,3500,side road,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0522990.jpg,,,,,,,,,, +西南杨,Populus schneideri,魏太昌,20432,1979-6 8,四川省,3200,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0010266.jpg,,,,,,,,,, +小叶杨,Populus simonii,黄河队,8158,19560813,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082257.jpg,,,,,,,,,, +小叶杨,Populus simonii,黄河队,5519,19560716,甘肃省,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082255.jpg,,,,,,,,,, +小叶杨,Populus simonii,黄河队,3757,19560711,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082256.jpg,,,,,,,,,, +川杨,Populus szechuanica var. szechuanica,Yung Chen,5049-12335,19280826,四川,1100,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2018612.jpg,,,,,,,,,, +川杨,Populus szechuanica var. szechuanica,汤庚国,1113,19890602,西藏,2450,,乔木,有花无果,https://image.cvh.ac.cn/files/l/NF/NF2018617.jpg,,,,,,,,,, +川杨,Populus szechuanica var. szechuanica,Yung Chen,,19230811,,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2018643.jpg,,,,,,,,,, +三脉青杨,Populus trinervis,T.T.Yu,6391,19370618,四川省,2200,sandy bank of river,,无花有果,https://image.cvh.ac.cn/files/l/PE/00704327.jpg,,,,,,,,,, +三脉青杨,Populus trinervis,谢朝俊,40224,1955/4/29,四川,1850,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0176143.jpg,,,,,,,,,, +三脉青杨,Populus trinervis,G.Fengel,279,1934/5/10,陕西,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0171284.jpg,,,,,,,,,, +椅杨,Populus wilsonii,秦岭队,1047,19590928,陕西省,2500,山坡密林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851835.jpg,,,,,,,,,, +椅杨,Populus wilsonii,北京植物所横断山队,1416,19810712,云南省,3250,铁杉林带 路边偶见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01518313.jpg,,,,,,,,,, +长叶杨,Populus wuana,T.Naito et al. ,894,19860513,西藏自治区,2100~2200,in populus forest in dale,,无花有果,https://image.cvh.ac.cn/files/l/PE/01803469.jpg,,,,,,,,,, +长叶杨,Populus wuana,汤庚国,1619,19890710,西藏,3150,路边孤立木,乔木,有花有果,https://image.cvh.ac.cn/files/l/NF/NF2018652.jpg,,,,,,,,,, +乡城杨,Populus xiangchengensis,青藏队横断山队,3954,19810809,四川省,3800~3850,山间水沟旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057433.jpg,,,,,,,,,, +乡城杨,Populus xiangchengensis,汤庚国,1231,19910627,四川,,,,有花有果,https://image.cvh.ac.cn/files/l/NF/NF2018655.jpg,,,,,,,,,, +圆齿亚东杨,Populus yatungensis var. crenata,青藏补点,750313,19750612,西藏自治区,2900,路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00704383.jpg,,,,,,,,,, +,Populus yatungensis var. pedicellata,冯国楣,5870,19400803,云南省,3000~3600,沟边,杂林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0523204.jpg,,,,,,,,,, +,Populus yatungensis var. pedicellata,王启无,65710,19350800,西藏自治区,3200,River side,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0523212.jpg,,,,,,,,,, +五瓣杨,Populus yuana,孙航,周浙昆,俞宏渊,4569,19930313,西藏自治区,1800,in forest,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0523214.jpg,,,,,,,,,, +滇杨,Populus yunnanensis,,,19810528,云南省,1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072440.jpg,,,,,,,,,, +滇杨,Populus yunnanensis,陈伟烈,14597,19800902,西藏自治区,1750,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01490808.jpg,,,,,,,,,, +孔唇兰,Porolabium biporosum,"Jin Xh,Wang LS Wang Q et al.",ST0437,20130717,云南省,3500~3600,apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977196.jpg,,,,,,,,,, +马齿苋,Portulaca oleracea,陈全胜,CF-0008-231,20170825,内蒙古自治区,696,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246388.jpg,,,,,,,,,, +马齿苋,Portulaca oleracea,三峡考察队,2250,20080723,重庆市,174~309,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240093.jpg,,,,,,,,,, +马齿苋,Portulaca oleracea,"李安仁,朱家柟",6892,19580729,新疆维吾尔自治区,1200,农田中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240092.jpg,,,,,,,,,, +扁茎眼子菜,Potamogeton compressus,,14346,Oct-76,四川省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0151974.jpg,,,,,,,,,, +扁茎眼子菜,Potamogeton compressus,B.W.Skvortzov,,19250720,黑龙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/IFP/14701013x0027.jpg,,,,,,,,,, +扁茎眼子菜,Potamogeton compressus,秦忠时,87,19820816,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/IFP/14701013x0025.jpg,,,,,,,,,, +菹草,Potamogeton crispus,塔中,99,19590624,新疆维吾尔自治区,,沼泽,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239206.jpg,,,,,,,,,, +菹草,Potamogeton crispus,侯学煜,115,19540000,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239200.jpg,,,,,,,,,, +菹草,Potamogeton crispus,杨文胜等,418,19830730,内蒙古自治区,,水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239198.jpg,,,,,,,,,, +眼子菜,Potamogeton distinctus,,625,19600000,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239270.jpg,,,,,,,,,, +眼子菜,Potamogeton distinctus,Wacey Hauy,,19340501,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239271.jpg,,,,,,,,,, +眼子菜,Potamogeton distinctus,,D1047,19840824,河南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239269.jpg,,,,,,,,,, +,Potamogeton gramineus,D.E. Boufford et al.,40093,20070820,四川省,3560,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02015066.jpg,,,,,,,,,, +,Potamogeton gramineus,"Laaksonen,Kyosti",s.n.,19580708,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01942743.jpg,,,,,,,,,, +,Potamogeton gramineus,王启无,66497,19350900,西藏自治区,3400,"pond,foot of mt.shallow water",,无花无果,https://image.cvh.ac.cn/files/l/PE/01472016.jpg,,,,,,,,,, +茅花眼子菜,Potamogeton leptanthus,"陈耀东,倪瑞生",435,19820902,青海省,3245,水中沉水,,有花无果,https://image.cvh.ac.cn/files/l/PE/01472253.jpg,,,,,,,,,, +光叶眼子菜,Potamogeton lucens,,31,19750817,河北省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01487778.jpg,,,,,,,,,, +光叶眼子菜,Potamogeton lucens,,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01487777.jpg,,,,,,,,,, +光叶眼子菜,Potamogeton lucens,,12416,,山西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01445963.jpg,,,,,,,,,, +微齿眼子菜,Potamogeton maackianus,"陈耀东,马欣堂",1336,19870724,山东省,40,水中 深水,,无花有果,https://image.cvh.ac.cn/files/l/PE/01595922.jpg,,,,,,,,,, +微齿眼子菜,Potamogeton maackianus,,33,19750817,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01487816.jpg,,,,,,,,,, +微齿眼子菜,Potamogeton maackianus,,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01472089.jpg,,,,,,,,,, +矮眼子菜,Potamogeton nanus,陈耀东 倪瑞生,425,19820829,青海省,3300,水中沉水,草本,无花无果,https://image.cvh.ac.cn/files/l/PE/01472318.jpg,,,,,,,,,, +矮眼子菜,Potamogeton nanus,Albert N.Steward,6752,19540607,,762,有狐尾藻和狸藻的浅湖中 漂浮,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00512072.jpg,,,,,,,,,, +浮叶眼子菜,Potamogeton natans,青藏队,1604,19870908,西藏自治区,4350,沼泽,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239279.jpg,,,,,,,,,, +浮叶眼子菜,Potamogeton natans,"刘英心,杨喜林,张国樑",297,19730706,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239280.jpg,,,,,,,,,, +,Potamogeton nodosus,"李振宇,闫丽春,农必明,李东方",1847,19981030,广西壮族自治区,900,田间、水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981129.jpg,,,,,,,,,, +,Potamogeton nodosus,G.Woronow,3652,19030625,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01472344.jpg,,,,,,,,,, +,Potamogeton nodosus,T.T.Yu,12480,19370727,云南省,3000,ditch side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01472336.jpg,,,,,,,,,, +,Potamogeton obtusifolius,青藏队,532,19810529,云南省,2320,海子中水深1-2m,,无花无果,https://image.cvh.ac.cn/files/l/PE/01472359.jpg,,,,,,,,,, +,Potamogeton obtusifolius,P.Licent S.J.,9590,19300724,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01472360.jpg,,,,,,,,,, +尖叶眼子菜,Potamogeton oxyphyllus,孔,229,19620809,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01532870.jpg,,,,,,,,,, +尖叶眼子菜,Potamogeton oxyphyllus,I.Hiura,841,19670607,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01472432.jpg,,,,,,,,,, +尖叶眼子菜,Potamogeton oxyphyllus,西藏中草药普查队,298,19720616,西藏自治区,3200,水中沼泽,,无花无果,https://image.cvh.ac.cn/files/l/PE/01472429.jpg,,,,,,,,,, +篦齿眼子菜,Potamogeton pectinatus,马欣堂,16,19860803,北京市,,永定河引水渠 水深30cm,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239137.jpg,,,,,,,,,, +篦齿眼子菜,Potamogeton pectinatus,,G-118,19820907,陕西省,1290,海则滩海子旁浅水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239135.jpg,,,,,,,,,, +穿叶眼子菜,Potamogeton perfoliatus,,109,19720827,河北省,450,漳河边水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239174.jpg,,,,,,,,,, +穿叶眼子菜,Potamogeton perfoliatus,孔,261,19620812,内蒙古自治区,,沼泽化土 滩地水中 ,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239175.jpg,,,,,,,,,, +穿叶眼子菜,Potamogeton perfoliatus,毕节队,196,19590717,贵州省,2200,水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239172.jpg,,,,,,,,,, +,Potamogeton polygonifolius,黄河队,7301,19560709,内蒙古自治区,1300,草地水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060867.jpg,,,,,,,,,, +,Potamogeton polygonifolius,G.E.Crow C.B.Hellquist,13342,19790708,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039335.jpg,,,,,,,,,, +,Potamogeton polygonifolius,Y.Liu & Father,312,19480801,湖南省,800,in swamp,,无花有果,https://image.cvh.ac.cn/files/l/PE/01472765.jpg,,,,,,,,,, +小眼子菜,Potamogeton pusillus,"陈伟烈,陈家瑞,郭柯,闫建平",8572,19840727,四川省,2300,湖边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239169.jpg,,,,,,,,,, +小眼子菜,Potamogeton pusillus,西藏考察队 傅国勋,138,19600529,西藏自治区,4000,农田水渠中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239166.jpg,,,,,,,,,, +小眼子菜,Potamogeton pusillus,迁西,638,19720910,河北省,,水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239164.jpg,,,,,,,,,, +,Potamogeton wrightii,J.M.Delavay,4757,18870817,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01472987.jpg,,,,,,,,,, +竹叶眼子菜,Potamogeton wrightii,亚吉东、丁艳蓉、李桂花,14CS9223,20140531,云南,1727,湖泊浅水区,水生草本,,https://image.cvh.ac.cn/files/l/KUN/1390404.jpg,,,,,,,,,, +竹叶眼子菜,Potamogeton wrightii,灌阳县普查队,450327150803041LY,20150803,广西壮族自治区,256,水中,少见野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00403429.jpg,,,,,,,,,, +星毛委陵菜,Potentilla acaulis,,10580,19590000,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834447.jpg,,,,,,,,,, +星毛委陵菜,Potentilla acaulis,"赵,李,杨等",76,19790717,内蒙古自治区,1248,固定沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834446.jpg,,,,,,,,,, +星毛委陵菜,Potentilla acaulis,,113,19640618,甘肃省,2700,山坡山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834441.jpg,,,,,,,,,, +窄裂委陵菜,Potentilla angustiloba,"李振宇,范晓虹等",12392,20120727,新疆维吾尔自治区,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005082.jpg,,,,,,,,,, +窄裂委陵菜,Potentilla angustiloba,新疆采集队,790,19780629,西藏自治区,3500,河漫滩沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841114.jpg,,,,,,,,,, +窄裂委陵菜,Potentilla angustiloba,,213,19580712,甘肃省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833929.jpg,,,,,,,,,, +蕨麻,Potentilla anserina,PE西藏考察队,7943,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332292.jpg,,,,,,,,,, +蕨麻,Potentilla anserina,陈全胜,CF09-4154,20180630,内蒙古自治区,1159,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246798.jpg,,,,,,,,,, +蕨麻,Potentilla anserina,"川西队,关克俭,王文采等",3303,19630907,四川省,1500,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092981.jpg,,,,,,,,,, +紫花银光委陵菜,Potentilla argyrophylla var. atrosanguinea,张永志,740300,19740530,西藏自治区,4000,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01158598.jpg,,,,,,,,,, +,Potentilla aristata,青藏队植被组,4288,19750623,西藏自治区,4100,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841271.jpg,,,,,,,,,, +,Potentilla aristata,青藏队补点组,750261,19750606,西藏,3800,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821436.jpg,,,,,,,,,, +双花委陵菜(原变种),Potentilla biflora var. biflora,亚吉东,张桥蓉,胡枭剑,17CS16290,20170629,新疆,3239,高山碎石坡,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1434573.jpg,,,,,,,,,, +二裂委陵菜(原变种),Potentilla bifurca var. bifurca,齐哈斯花,150927180518003LY,20180520,内蒙古,1478.6,草原,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IATM/IATM0000290.jpg,,,,,,,,,, +长叶二裂委陵菜,Potentilla bifurca var. major,张治明,31,19880906,黑龙江省,800,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841574.jpg,,,,,,,,,, +长叶二裂委陵菜,Potentilla bifurca var. major,王薇等,3060,19620918,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841575.jpg,,,,,,,,,, +长叶二裂委陵菜,Potentilla bifurca var. major,内大-85-3,87,19870707,内蒙古自治区,,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841573.jpg,,,,,,,,,, +,Potentilla bifurca var. pusilla,西藏队植被组,6154,19750922,西藏自治区,4780,低丘缓坡 砂土阳坡 草原,,无花无果,https://image.cvh.ac.cn/files/l/PE/01486079.jpg,,,,,,,,,, +委陵菜,Potentilla chinensis,周口店考察队,215,20080927,北京市,126,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112149.jpg,,,,,,,,,, +委陵菜,Potentilla chinensis,巴山采集队,5945,20120703,四川省,450~831,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066264.jpg,,,,,,,,,, +委陵菜,Potentilla chinensis,巴山采集队,2991,20100722,陕西省,970,草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059618.jpg,,,,,,,,,, +大萼委陵菜,Potentilla conferta var. conferta,张重岭,279,20140718,内蒙古自治区,660,干旱荒山坡,,有花无果,https://image.cvh.ac.cn/files/l/YAK/0002175.jpg,,,,,,,,,, +大萼委陵菜(原变种),Potentilla conferta var. conferta,齐哈斯花,150927180708001LY,20180520,内蒙古,1478.6,草原,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IATM/IATM0000315.jpg,,,,,,,,,, +,Potentilla contigua,青藏队补点组,751073,19750802,西藏自治区,4510,灌丛边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00896639.jpg,,,,,,,,,, +,Potentilla contigua,M.Minaki etc.,9080202,19900807,,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264359.jpg,,,,,,,,,, +,Potentilla coriandrifolia var. purpurea,青藏队补点组,750263,19750606,西藏自治区,4300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934313.jpg,,,,,,,,,, +圆齿委陵菜,Potentilla crenulata,"李渤生,程树志",6151,19830804,西藏自治区,4700,高山灌丛草甸中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074598.jpg,,,,,,,,,, +圆齿委陵菜,Potentilla crenulata,姜恕等,6072,19600626,云南省,2750,阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00020628.jpg,,,,,,,,,, +楔叶委陵菜,Potentilla cuneata,PE西藏考察队,7036,20180608,西藏自治区,4172~4868,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333955.jpg,,,,,,,,,, +楔叶委陵菜,Potentilla cuneata,J.I.Jeon et al.,SI1317,20100810,四川省,3653,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924415.jpg,,,,,,,,,, +滇西委陵菜,Potentilla delavayi,蓝顺彬,495,19850728,云南省,3700,高山潮湿草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838256.jpg,,,,,,,,,, +滇西委陵菜,Potentilla delavayi,"吴征镒,陈书坤,杜庆,庐树林",75-0605,19750705,西藏自治区,3800~3850,冷杉林上缘至杜鹃灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/00854451.jpg,,,,,,,,,, +毛果委陵菜(原变种),Potentilla eriocarpa var. eriocarpa,白洪兵、海仙,5333241812011043LY,20181201,云南,3180,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009841.jpg,,,,,,,,,, +川滇委陵菜,Potentilla fallens,彭华等,H-滇云龙-Z 4675,20101025,云南省,2643,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902576.jpg,,,,,,,,,, +川滇委陵菜,Potentilla fallens,"韩裕丰,邓坤梅,黄晓鹤",83-152,19830718,四川省,3850,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01834537.jpg,,,,,,,,,, +匍枝委陵菜,Potentilla flagellaris,云台山采集队,992,20090620,河南省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036758.jpg,,,,,,,,,, +匍枝委陵菜,Potentilla flagellaris,石硕,SZ3458,20140512,河北省,1248,田边、石滩,,无花无果,https://image.cvh.ac.cn/files/l/PE/02031419.jpg,,,,,,,,,, +莓叶委陵菜,Potentilla fragarioides,,26,19790712,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094242.jpg,,,,,,,,,, +莓叶委陵菜,Potentilla fragarioides,Li H. et al.,200,20020813,云南省,2050,次生常绿阔叶林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090634.jpg,,,,,,,,,, +莓叶委陵菜,Potentilla fragarioides,BliznyukT.N.,s.n.,20020526,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062618.jpg,,,,,,,,,, +三叶委陵菜(原变种),Potentilla freyniana var. freyniana,邓朝义,522301140613205LY,20140613,贵州省,1912,针叶林、中生、耐阴、酸性土、中温,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0059154.jpg,,,,,,,,,, +三叶委陵菜(原变种),Potentilla freyniana var. freyniana,李启瑞,52263120190405374LY,20190405,贵州,502,草丛、中生、阳性、中温、钙质土、野生植物,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0100554.jpg,,,,,,,,,, +三叶委陵菜(原变种),Potentilla freyniana var. freyniana,罗金裕,黄家义,25835,19830228,广西壮族自治区,1819,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI014928.jpg,,,,,,,,,, +白毛金露梅,Potentilla fruticosa var. albicans,D. E. Boufford et al.,35657,20060804,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902434.jpg,,,,,,,,,, +白毛金露梅,Potentilla fruticosa var. albicans,孙学刚等,6108,20060731,甘肃省,2880,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841647.jpg,,,,,,,,,, +白毛金露梅,Potentilla fruticosa var. albicans,西植新疆队,1003,19780705,新疆维吾尔自治区,3600,平草滩草甸草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838138.jpg,,,,,,,,,, +伏毛金露梅,Potentilla fruticosa var. arbuscula,"D.E.Boufford,K.Fujikawa,S.L.Kelley etc.",40426,20070823,甘肃省,3600~3620,"dry to wet meadow steep dry stony slopes shrub thickets of dwarf and moist shallow,gently sloping depression on slope Island-like thickets in meadow",,有花有果,https://image.cvh.ac.cn/files/l/PE/02036467.jpg,,,,,,,,,, +伏毛金露梅,Potentilla fruticosa var. arbuscula,"D.E.Boufford,K.Fujikawa,S.L.Kelley etc.",40398,20070823,四川省,3570,shrub thickets and intervening meadow between outcropping ledges of conglomerate limestone,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036466.jpg,,,,,,,,,, +伏毛金露梅,Potentilla fruticosa var. arbuscula,"唐宇丹,林秦文",2010-005,20100912,西藏自治区,4087,南北偏东向河谷,半荫坡,沙土含少量,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014922.jpg,,,,,,,,,, +,Potentilla fruticosa var. fruticosa,D. E. Boufford et al.,36881,20060820,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902430.jpg,,,,,,,,,, +,Potentilla fruticosa var. fruticosa,D. E. Boufford et al.,41148,20090725,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902429.jpg,,,,,,,,,, +垫状金露梅,Potentilla fruticosa var. pumila,傅国勋,521,19600810,西藏自治区,5300,近山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/00855750.jpg,,,,,,,,,, +耐寒委陵菜,Potentilla gelida,PE西藏考察队,7227,20180612,西藏自治区,3398,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331924.jpg,,,,,,,,,, +耐寒委陵菜,Potentilla gelida,L.Averjanov,861,19780508,,2800~3000,Saryzhas ripa aquae cursum schistosa circa,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039854.jpg,,,,,,,,,, +耐寒委陵菜,Potentilla gelida,青藏队,870804,19870804,新疆维吾尔自治区,3700,山坡流石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838237.jpg,,,,,,,,,, +,Potentilla glabra var. glabra,D. E. Boufford et al.,35117,20060722,云南省,4100~4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01928015.jpg,,,,,,,,,, +,Potentilla glabra var. glabra,D. E. Boufford et al.,41453,20090730,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01928016.jpg,,,,,,,,,, +,Potentilla glabra var. glabra,D. E. Boufford et al.,36460,20060815,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902432.jpg,,,,,,,,,, +白毛银露梅,Potentilla glabra var. mandshurica,PE-西藏队,4004,20130723,西藏自治区,2800~3970,山坡灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02289918.jpg,,,,,,,,,, +白毛银露梅,Potentilla glabra var. mandshurica,刘彬彬,2272,20150716,湖北省,3104,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02070166.jpg,,,,,,,,,, +白毛银露梅,Potentilla glabra var. mandshurica,尹书明,111,19930706,甘肃省,3300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838379.jpg,,,,,,,,,, +川边委陵菜,Potentilla gombalana,Harry Smith,10714,19340722,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934240.jpg,,,,,,,,,, +川边委陵菜,Potentilla gombalana,青藏队,5486,19750604,西藏自治区,3900,山坡,河边,砂土地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/677057.jpg,,,,,,,,,, +川边委陵菜,Potentilla gombalana,彭玉兰、余奇、李林霖,THP-KD-1109,20170613,四川,3091,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242931.jpg,,,,,,,,,, +腺粒委陵菜,Potentilla granulosa,崔友文,5367,19510820,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821845.jpg,,,,,,,,,, +腺粒委陵菜,Potentilla granulosa,崔友文,5479,19510823,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00880476.jpg,,,,,,,,,, +全白委陵菜,Potentilla hololeuca,郭柯等,天山-519,19860812,新疆维吾尔自治区,2505,山顶缓坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01805345.jpg,,,,,,,,,, +全白委陵菜,Potentilla hololeuca,,31,19490707,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01657033.jpg,,,,,,,,,, +薄毛委陵菜,Potentilla inclinata,田景全,168,19600625,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839230.jpg,,,,,,,,,, +薄毛委陵菜,Potentilla inclinata,陈舜礼,阿170,19570711,新疆维吾尔自治区,2080,草坡之上部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838273.jpg,,,,,,,,,, +蛇含委陵菜,Potentilla kleiniana,"董洪进,王泽欢,尹志坚",WM-0078,20160426,云南省,1200~1300,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090717.jpg,,,,,,,,,, +蛇含委陵菜,Potentilla kleiniana,巴山采集队,6021,20120629,四川省,1320,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066286.jpg,,,,,,,,,, +蛇含委陵菜,Potentilla kleiniana,巴山采集队,3276,20100722,陕西省,1201,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059616.jpg,,,,,,,,,, +条裂委陵菜,Potentilla lancinata,杨竞生,88-254,19880828,云南省,3400,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01821843.jpg,,,,,,,,,, +条裂委陵菜,Potentilla lancinata,钟补求,5833,19520722,西藏自治区,,山坡草原中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00881023.jpg,,,,,,,,,, +脱毛银叶委陵菜,Potentilla leuconota var. brachyphyllaria,青藏队横断山队,5454,19810828,四川省,4100,山坡 落叶林松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01158977.jpg,,,,,,,,,, +脱毛银叶委陵菜,Potentilla leuconota var. brachyphyllaria,张英伯,662,19401101,云南省,4200,rocky cliff,,有花无果,https://image.cvh.ac.cn/files/l/PE/00881178.jpg,,,,,,,,,, +,Potentilla leuconota var. leuconota,李馨,78157,19580721,四川省,4000,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00881181.jpg,,,,,,,,,, +,Potentilla leuconota var. leuconota,T.T.Yu,11741,19370624,云南省,3420,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00881182.jpg,,,,,,,,,, +,Potentilla leuconota var. leuconota,王作宾,14698,19510814,甘肃省,3400,Abies林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00881180.jpg,,,,,,,,,, +,Potentilla lineata,PE西藏考察队,7718,20180623,西藏自治区,4175,流石滩,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333103.jpg,,,,,,,,,, +,Potentilla lineata,"税玉民,陈文红,张美德等",64094,20060730,云南省,2150,杨溪水库,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093360.jpg,,,,,,,,,, +,Potentilla lineata,巴山采集队,1707,20080714,重庆市,1931,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851158.jpg,,,,,,,,,, +腺毛委陵菜,Potentilla longifolia,"石硕,祝东立,祝振清",SZ3710,20140806,河北省,1248,石滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/02031389.jpg,,,,,,,,,, +腺毛委陵菜,Potentilla longifolia,关克俭,3819,19570828,新疆维吾尔自治区,2300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838280.jpg,,,,,,,,,, +腺毛委陵菜,Potentilla longifolia,"杨雅玲,张桂芝",296,19730723,内蒙古自治区,1300,平地草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834722.jpg,,,,,,,,,, +大花委陵菜,Potentilla macrosepala,,13235,19760729,四川省,3800,草坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833903.jpg,,,,,,,,,, +大花委陵菜,Potentilla macrosepala,田效文等,943,19810825,云南省,3210,草甸草场,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833901.jpg,,,,,,,,,, +大花委陵菜,Potentilla macrosepala,,75-1174,19750921,西藏自治区,3200,高山松采伐跡地灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833899.jpg,,,,,,,,,, +,Potentilla microphylla var. luteopilosa,T.T.Yu,23238,19381004,云南省,4100,山岩上,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00057107.jpg,,,,,,,,,, +,Potentilla microphylla var. luteopilosa,"Yü, Tse-tsun",23238,4-Oct-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00008944.jpg,,,,,,,,,, +,Potentilla microphylla var. microphylla,"张永田,郞楷永",3912,19660612,西藏自治区,3900~4100,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00881318.jpg,,,,,,,,,, +,Potentilla microphylla var. tapetodes,青藏队补点组,750223,19750606,西藏自治区,4300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838211.jpg,,,,,,,,,, +,Potentilla microphylla var. tapetodes,青藏队,5698,19750611,西藏,4700,山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821442.jpg,,,,,,,,,, +多茎委陵菜,Potentilla multicaulis,,216,19640703,青海省,3700,山地阳坡坡麓,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083066.jpg,,,,,,,,,, +多茎委陵菜,Potentilla multicaulis,孔冬梅,k0376,20140717,山西省,450,河滩地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02039894.jpg,,,,,,,,,, +多茎委陵菜,Potentilla multicaulis,云台山采集队,849,20090614,河南省,,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02030853.jpg,,,,,,,,,, +多头委陵菜,Potentilla multiceps,PE西藏考察队,7557,20180620,西藏自治区,4158,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333959.jpg,,,,,,,,,, +多头委陵菜,Potentilla multiceps,郭柯,k-218,19900813,青海省,4800,山地北坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046490.jpg,,,,,,,,,, +多头委陵菜,Potentilla multiceps,"郭柯,郑度",12121,19880702,新疆维吾尔自治区,3140,黄土垄,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352632.jpg,,,,,,,,,, +多裂委陵菜(原变种),Potentilla multifida var. multifida,谢登峰、卫静丽,2029431,20190922,四川,4722,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02029431.jpg,,,,,,,,,, +多裂委陵菜,Potentilla multifida var. multifida,朱鑫鑫、陈彬、沈彬、宋以刚,CSH06554,20140730,四川省,3216.99,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0037513.jpg,,,,,,,,,, +,Potentilla multifida var. multifida,"Ludlow, Francis & Sherriff, George",9726,28-Jun-43,,,,,,https://image.cvh.ac.cn/files/l/E/E00288842.jpg,,,,,,,,,, +矮生多裂委陵菜,Potentilla multifida var. nubigena,关克俭等,75,19730518,河北省,1400,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01237014.jpg,,,,,,,,,, +矮生多裂委陵菜,Potentilla multifida var. nubigena,傅坤俊,7082,19530727,陕西省,,草原沙质土上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00881734.jpg,,,,,,,,,, +矮生多裂委陵菜,Potentilla multifida var. nubigena,"王战,赵大昌,傅沛云等",1395,19510718,内蒙古自治区,700,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00881732.jpg,,,,,,,,,, +显脉委陵菜,Potentilla nervosa,林业部,天昭132,19570628,新疆维吾尔自治区,,南(阳坡),,有花无果,https://image.cvh.ac.cn/files/l/PE/01838260.jpg,,,,,,,,,, +显脉委陵菜,Potentilla nervosa,青藏队植被组,9242,19760721,西藏自治区,3900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00881819.jpg,,,,,,,,,, +高原委陵菜,Potentilla pamiroalaica,PE西藏考察队,7724,20180623,西藏自治区,4175,流石滩,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331937.jpg,,,,,,,,,, +高原委陵菜,Potentilla pamiroalaica,秦仁昌,1790,19560811,新疆维吾尔自治区,1100,生干旱石山上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841133.jpg,,,,,,,,,, +,Potentilla parvifolia var. armerioides,吴玉虎,9762,19810708,青海省,0~3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00005560.jpg,,,,,,,,,, +铺地小叶金露梅,Potentilla parvifolia var. armerioides,,142,19640816,青海,,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019912.jpg,,,,,,,,,, +,Potentilla parvifolia var. parvifolia,D. E. Boufford et al.,41103,20090725,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902428.jpg,,,,,,,,,, +小叶金露梅(原变种),Potentilla parvifolia var. parvifolia,谢登峰、蔡竞、秦换换,SC-00-021-A-036,20200903,四川,3216.76m,高原草甸,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02060550.jpg,,,,,,,,,, +总梗委陵菜,Potentilla peduncularis var. peduncularis,青藏补点组,751973,19750912,西藏自治区,4200,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/KUN/677606.jpg,,,,,,,,,, +羽毛委陵菜,Potentilla plumosa,李全喜,119,19630511,甘肃省,1500,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838416.jpg,,,,,,,,,, +羽毛委陵菜,Potentilla plumosa,汤宗孝等,841,19930809,四川省,3200,草甸草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838434.jpg,,,,,,,,,, +羽毛委陵菜,Potentilla plumosa,丁恒山,1123,19620626,青海省,3000,近河滩草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838429.jpg,,,,,,,,,, +多叶委陵菜,Potentilla polyphylla var. polyphylla,武素功,8460,19640817,云南省,3500,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/676248.jpg,,,,,,,,,, +多叶委陵菜,Potentilla polyphylla var. polyphylla,"H.Kanai,H.Ohashi",720226,19720606,Gunma,2500~2300,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/677623.jpg,,,,,,,,,, +多叶委陵菜,Potentilla polyphylla var. polyphylla,青藏队,5904,19750626,西藏自治区,2900,山坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/KUN/677625.jpg,,,,,,,,,, +华西委陵菜,Potentilla potaninii var. potaninii,邓姣姣、卫靜丽、刘常坤,LDW-31-V-029,20200919,四川,3247.96m,山坡草地,中生或阳生,有花有果,https://image.cvh.ac.cn/files/l/SZ/02068270.jpg,,,,,,,,,, +绢毛匍匐委陵菜,Potentilla reptans var. sericophylla,"石硕,郑敏,石一果",SZ3426,20140502,河北省,271,山坡半阳,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036501.jpg,,,,,,,,,, +绢毛匍匐委陵菜,Potentilla reptans var. sericophylla,傅德志等,1703,20140425,四川省,1120~1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918850.jpg,,,,,,,,,, +绢毛匍匐委陵菜,Potentilla reptans var. sericophylla,老铁山采集队,103,20080501,辽宁省,,路边草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863271.jpg,,,,,,,,,, +钉柱委陵菜,Potentilla saundersiana var. saundersiana,李磊、央宗,MLS-55,20090917,云南省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001369.jpg,,,,,,,,,, +等齿委陵菜,Potentilla simulatrix,吴玉虎等,4265,19860806,青海省,,阳山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841124.jpg,,,,,,,,,, +等齿委陵菜,Potentilla simulatrix,李培元,1549,19590517,陕西省,1050,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841121.jpg,,,,,,,,,, +等齿委陵菜,Potentilla simulatrix,张珍万,2817,19640523,甘肃省,,水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841120.jpg,,,,,,,,,, +齿裂西山委陵菜,Potentilla sischanensis var. peterae,郑斯绪,333,19600623,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838252.jpg,,,,,,,,,, +齿裂西山委陵菜,Potentilla sischanensis var. peterae,张志英,3119,19590530,甘肃省,1460,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838251.jpg,,,,,,,,,, +齿裂西山委陵菜,Potentilla sischanensis var. peterae,罗达尚,612,19650624,山西省,1320,阳处,灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838249.jpg,,,,,,,,,, +,Potentilla stenophylla var. emergens,D.E.Boufford & B.Bartholomew et al.,36134,20060809,四川省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863291.jpg,,,,,,,,,, +康定委陵菜,Potentilla stenophylla var. emergens,"苏涛, 黄永江, 杨青松, 王力",ZhouZK11191,20110912,四川,,高山草坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1315222.jpg,,,,,,,,,, +狭叶委陵菜,Potentilla stenophylla var. stenophylla,杨竞生,8068,19760720,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/678002.jpg,,,,,,,,,, +狭叶委陵菜,Potentilla stenophylla var. stenophylla,青藏队,3853,19810806,四川省,4700~4600,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/678006.jpg,,,,,,,,,, +朝天委陵菜,Potentilla supina,"石硕,祝东立,祝振清",SZ3805,20140808,河北省,1220,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036400.jpg,,,,,,,,,, +朝天委陵菜,Potentilla supina,孔冬梅,k0435,20140724,山西省,1521,河滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035065.jpg,,,,,,,,,, +朝天委陵菜,Potentilla supina,"李振宇,范晓虹等",12644,20121012,山东省,3~5,印度铁矿对(第一堆),,有花无果,https://image.cvh.ac.cn/files/l/PE/02005085.jpg,,,,,,,,,, +菊叶委陵菜,Potentilla tanacetifolia,陈全胜,CF07-4093,20180627,内蒙古自治区,1451,沙质草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247224.jpg,,,,,,,,,, +菊叶委陵菜,Potentilla tanacetifolia,段长虹,Dch0135,20140630,山西省,1701,土石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036883.jpg,,,,,,,,,, +大果委陵菜,Potentilla taronensis,T.T.Yu,20915,19381101,云南省,3200,mt slop open & roeky placa,herb perennial,有花无果,https://image.cvh.ac.cn/files/l/PE/00020641.jpg,,,,,,,,,, +大果委陵菜,Potentilla taronensis,白洪兵、李红,533324180827464LY,20180827,云南,3273,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009572.jpg,,,,,,,,,, +,Potentilla taronensis,"Yü, Tse-tsun",20915,1-Nov-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00072578.jpg,,,,,,,,,, +羽裂密枝委陵菜,Potentilla virgata var. pinnatifida,刘冰,918,20070719,新疆维吾尔自治区,1500,灌草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977782.jpg,,,,,,,,,, +羽裂密枝委陵菜,Potentilla virgata var. pinnatifida,"杨赵平, 焦培培等",LiZJ0694,20080906,新疆,,山间草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1314568.jpg,,,,,,,,,, +羽裂密枝委陵菜,Potentilla virgata var. pinnatifida,PCCZ,T325,19980820,新疆维吾尔自治区 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/183158.jpg,,,,,,,,,, +石柑子,Pothos chinensis,中植联广西队,1532,20080623,广西壮族自治区,320,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244597.jpg,,,,,,,,,, +石柑子,Pothos chinensis,"张志松,闵天禄,许介眉等",400035,19640405,贵州省,505,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241212.jpg,,,,,,,,,, +石柑子,Pothos chinensis,"Yunnan Expedition Team(Jin Xiaohua,Liu Bing,Liu Bo",YN-ET943,20090707,云南省,1400,树上附生,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240951.jpg,,,,,,,,,, +百足藤,Pothos repens,"云南考察队(金效华,刘冰,刘博等)",YN-ET583,20090701,云南省,1800,树上附生,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240964.jpg,,,,,,,,,, +百足藤,Pothos repens,中植联广西队,323,20080513,广西壮族自治区,350,石灰岩石山、山坡,疏林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240963.jpg,,,,,,,,,, +百足藤,Pothos repens,殷建涛,136,20030320,,1101,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01722541.jpg,,,,,,,,,, +螳螂跌打,Pothos scandens,黔南队,731,19590408,贵州省,520,山谷岩石上阴处坡向南,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240959.jpg,,,,,,,,,, +螳螂跌打,Pothos scandens,"税玉民,陈文红等",70331,20060311,云南省,1600~1700,河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240960.jpg,,,,,,,,,, +螳螂跌打,Pothos scandens,中植联广西队,715,20080520,广西壮族自治区,500,石灰岩石山,山坡,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240957.jpg,,,,,,,,,, +银叶雾水葛,Pouzolzia argenteonitida,青藏队,6879,19820529,云南省,1900,山坡 水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01062660.jpg,,,,,,,,,, +银叶雾水葛,Pouzolzia argenteonitida,科考队,1663,19740807,西藏自治区,1180~800,常绿阔叶林,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062603.jpg,,,,,,,,,, +美叶雾水葛,Pouzolzia calophylla,Gaoligong Shan Biodiversity Survey,27046,20050811,云南省,1680,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847844.jpg,,,,,,,,,, +美叶雾水葛,Pouzolzia calophylla,赵佐成,3173,19931008,四川省,1200,山坡路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01847165.jpg,,,,,,,,,, +美叶雾水葛,Pouzolzia calophylla,黔南队,352,19590708,贵州省,2000,山脚 阴处 密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846648.jpg,,,,,,,,,, +,Pouzolzia sanguinea var. sanguinea,"张挺, 蔡杰",15CS10960,20150826,海南,552,河谷岸边林缘,半灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1455636.jpg,,,,,,,,,, +红雾水葛,Pouzolzia sanguinea var. sanguinea,弥渡普查队,5329250164,20120717,云南省,2077,,灌木,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0011532.jpg,,,,,,,,,, +红雾水葛(原变种),Pouzolzia sanguinea var. sanguinea,白洪兵,533324180818359LY,20180818,云南,1395.5,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010134.jpg,,,,,,,,,, +尖齿豆腐柴,Premna acutata,攀枝花苏铁考察队,219,20100711,四川省,2163,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883618.jpg,,,,,,,,,, +尖齿豆腐柴,Premna acutata,George Forrest,22082,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01276372.jpg,,,,,,,,,, +蒙自豆腐柴,Premna henryana,王启无,81443,19390904,云南省,1300,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/198496.jpg,,,,,,,,,, +,Premna henryana,"Henry, Augustine",10327,,,,,,,https://image.cvh.ac.cn/files/l/E/E00711959.jpg,,,,,,,,,, +间序豆腐柴,Premna interrupta,"张永田,郎楷永",4375,19660622,西藏自治区,2400,山坡疏林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244378.jpg,,,,,,,,,, +间序豆腐柴,Premna interrupta,K.M.Feng,7140,19400830,云南省,2500~2900,沟边杂林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01276479.jpg,,,,,,,,,, +间序豆腐柴,Premna interrupta,廖国胜,C1160,19850000,贵州省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0496556.jpg,,,,,,,,,, +小叶澜沧豆腐柴,Premna mekongensis var. meiophylla,青藏队,720,19810608,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/046852.jpg,,,,,,,,,, +,Premna mekongensis var. meiophylla,"Forrest, George",13049,14-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00284189.jpg,,,,,,,,,, +澜沧豆腐柴,Premna mekongensis var. mekongensis,弥渡普查队,5329250521,20120717,云南省,1600,,灌木,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0021536.jpg,,,,,,,,,, +少花豆腐柴,Premna oligantha,青藏队,2161,19810705,云南省,2200~2400,山坡石地上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950027.jpg,,,,,,,,,, +少花豆腐柴,Premna oligantha,青藏队,2134,19810703,四川省,2080,干旱河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01133256.jpg,,,,,,,,,, +少花豆腐柴,Premna oligantha,青藏队,10914,19820930,西藏自治区,2000~1900,谷坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/198622.jpg,,,,,,,,,, +玫花豆腐柴,Premna punicea,滇西北金沙江队,6496,19630814,云南省,1600,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01277055.jpg,,,,,,,,,, +总序豆腐柴,Premna racemosa,青藏队,74-2788,19741004,西藏自治区,2600,河谷杂木林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244377.jpg,,,,,,,,,, +总序豆腐柴,Premna racemosa,中植联广西队,3277,20080816,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244234.jpg,,,,,,,,,, +总序豆腐柴,Premna racemosa,青藏队,8249,19820721,云南省,2200~2400,常绿阔叶林中附生,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244186.jpg,,,,,,,,,, +大坪子豆腐柴,Premna tapintzeana,秦仁昌,24416,19290907,云南省,2400,丛林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01277114.jpg,,,,,,,,,, +大坪子豆腐柴,Premna tapintzeana,李永亮等4人,YDDXS0326,20100627,云南,1385,针阔混杂交林间,杂灌木林箐沟,木质藤本,,https://image.cvh.ac.cn/files/l/KUN/1386741.jpg,,,,,,,,,, +云南豆腐柴,Premna yunnanensis,青藏队,10914,19820930,西藏自治区,1900~2000,谷坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244244.jpg,,,,,,,,,, +云南豆腐柴,Premna yunnanensis,青藏队,13604,19830905,四川省,2300,山坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244239.jpg,,,,,,,,,, +云南豆腐柴,Premna yunnanensis,George Forrest,10527,19130700,云南省,3333,In open situations on the margins of thickets on the mountains,,有花无果,https://image.cvh.ac.cn/files/l/PE/01277138.jpg,,,,,,,,,, +,Prenanthes brunoniana,"李丙贵,万绍宾",5228,19751027,湖南省,700,山地 肥土 山谷 密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766039.jpg,,,,,,,,,, +三花盘果菊,Prenanthes brunoniana,姚淦,1982,19890804,西藏自治区,3500,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00003142.jpg,,,,,,,,,, +异叶盘果菊,Prenanthes brunoniana,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/072321.jpg,,,,,,,,,, +,Prenanthes violaefolia,高信芬、涂卫国、何海、乔永康,7428,20030916,西藏自治区,3450,高山栎灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0196371.jpg,,,,,,,,,, +裂瓣穗状报春,Primula aerinantha,白水江考察队,5135,20070519,甘肃省,3360,高山草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849578.jpg,,,,,,,,,, +裂瓣穗状报春,Primula aerinantha,魏振铎,249,1964/06/,青海省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0296641.jpg,,,,,,,,,, +乳黄雪山报春,Primula agleniana,青藏队,8456,19820722,云南省,3600~3700,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01502196.jpg,,,,,,,,,, +乳黄雪山报春,Primula agleniana,,s.n.,,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0116567.jpg,,,,,,,,,, +乳黄雪山报春,Primula agleniana,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 杨云珊, 杨永平",16CS14388,20161111,西藏,3772,高山灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1450665.jpg,,,,,,,,,, +寒地报春,Primula algida,"清水建美,近田文弘等",209,19910726,新疆维吾尔自治区,2950,山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467786.jpg,,,,,,,,,, +寒地报春,Primula algida,傅国勋,117,19600528,西藏自治区,4200,北坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205365.jpg,,,,,,,,,, +杂色钟报春,Primula alpicola,PE西藏考察队,7594,20180621,西藏自治区,3796~4100,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332203.jpg,,,,,,,,,, +蔓茎报春,Primula alsophila,"Q.Wang,K.Yao",9062,19990600,四川省,2700,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115548.jpg,,,,,,,,,, +蔓茎报春,Primula alsophila,白水江考察队,813,20060630,甘肃省,3300,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849579.jpg,,,,,,,,,, +尖齿紫晶报春,Primula amethystina subsp. argutidens,覃海宁等,17064,20070704,四川省,3260~4100,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01944706.jpg,,,,,,,,,, +尖齿紫晶报春,Primula amethystina subsp. argutidens,王启无,65938,19350800,西藏自治区,3500,S-slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01060847.jpg,,,,,,,,,, +,Primula aromatica,K.M.Feng,2858,19390830,四川省,2800,岩壁上生于石灰质土壤内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947982.jpg,,,,,,,,,, +,Primula aromatica,T.T.Yu,7439,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947620.jpg,,,,,,,,,, +白心球花报春,Primula atrodentata,青藏补点组,750082,19750531,西藏自治区,2900,林间空地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233845.jpg,,,,,,,,,, +白心球花报春,Primula atrodentata,H.Hara etc.,3284,19670523,,4300,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/186970.jpg,,,,,,,,,, +圆叶报春,Primula baileyana,许建初,2146,19880802,西藏自治区,4500,高山草地,,,https://image.cvh.ac.cn/files/l/KUN/1291071.jpg,,,,,,,,,, +圆叶报春,Primula baileyana,"S. Akiyama ,H. Ikeda,H. Tsukaya,武素功",926,20010727,云南省,4310,On rocky slpe,,,https://image.cvh.ac.cn/files/l/KUN/1295239.jpg,,,,,,,,,, +,Primula baileyana,"Kingdon Ward, F",6093,15-Aug-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00024695.jpg,,,,,,,,,, +,Primula barbatula,"Ludlow, F & Sherriff, G",2350,19-Jul-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024534.jpg,,,,,,,,,, +巴塘报春,Primula bathangensis,"孙航,李新辉,岳亮亮,陈林杨",15118,20100531,四川省,2731,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005666.jpg,,,,,,,,,, +巴塘报春,Primula bathangensis,K.M.Feng,2723,19390820,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947986.jpg,,,,,,,,,, +,Primula bella subsp. bonatiana,"Forrest, George",18893,19-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00024532.jpg,,,,,,,,,, +,Primula bellidifolia,PE西藏队,PE6700,20170914,西藏自治区,3934,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330535.jpg,,,,,,,,,, +菊叶穗花报春,Primula bellidifolia,郝刚,506,20030815,四川省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0182886.jpg,,,,,,,,,, +地黄叶报春,Primula blattariformis,T.T.Yu,7353,19370722,四川省,2200,margin of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205435.jpg,,,,,,,,,, +地黄叶报春,Primula blattariformis,"张挺, 郭永杰, 吴之坤, 姜虹, 李贵能",16CS12598,20160815,四川,2588,公路边崖壁下方,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1451506.jpg,,,,,,,,,, +地黄叶报春,Primula blattariformis,青藏队,14938,19831003,云南省,2400,山坡云南松林下,,有果无花,https://image.cvh.ac.cn/files/l/KUN/187730.jpg,,,,,,,,,, +小苞报春,Primula bracteata,D.E.Boufford et al.,41655,20090801,西藏自治区,3750~3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026110.jpg,,,,,,,,,, +小苞报春,Primula bracteata,青藏队,4900,19810817,四川省,3850,河沟山坡冷杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01502207.jpg,,,,,,,,,, +小苞报春,Primula bracteata,T.N.Ho et al.,2955,19960907,青海省,4100,"Gentle slopes with degraded alpine meadow;steeper slopes with groves of Juniperus,Growing on steep rocky slopes",,有花有果,https://image.cvh.ac.cn/files/l/PE/01106122.jpg,,,,,,,,,, +冰川雪山报春,Primula brevicula,J.F.Rock,17662,1929.6.,四川省,4870,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0020374.jpg,,,,,,,,,, +,Primula brevicula,0,6425,19100800,云南省,,Western flank of the Lichiang Range.,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00104539.jpg,,,,,,,,,, +,Primula bullata var. rufa,"Delavay, Pierre Jean Marie",305,May 1883,,,,,,https://image.cvh.ac.cn/files/l/E/E00024055.jpg,,,,,,,,,, +匍枝粉报春,Primula caldaria,龚洵,s.n.,,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0098226.jpg,,,,,,,,,, +匍枝粉报春,Primula caldaria,方震东、李德佑,3560,19950420,云南省,2470,灌丛下水湿处,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003364.jpg,,,,,,,,,, +,Primula caldaria,"Forrest, George",20138,21-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00024124.jpg,,,,,,,,,, +暗紫脆蒴报春,Primula calderiana,PE西藏考察队,7207,20180612,西藏自治区,4539,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332430.jpg,,,,,,,,,, +暗紫脆蒴报春,Primula calderiana,"H.Hara,H.Kanai,G.Murata,H.Ohashi,O.Tanaka & T.Yama",11718,19670518,,3800,In alpine herbages,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205489.jpg,,,,,,,,,, +亮白小报春,Primula candicans,罗建、汪书丽,LiuJQ-08-XZ-069,20080723,西藏自治区,4550,高山草甸湿地,直立草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00000647.jpg,,,,,,,,,, +,Primula candicans,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13749,21-May-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00024509.jpg,,,,,,,,,, +条裂垂花报春,Primula cawdoriana,青藏队植被组,2599,19740810,西藏自治区,4400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803152.jpg,,,,,,,,,, +条裂垂花报春,Primula cawdoriana,魏来、何毅,BNUXZ2016579,20160802,西藏,4200,路边灌草丛,,,https://image.cvh.ac.cn/files/l/BNU/0028207.jpg,,,,,,,,,, +,Primula cawdoriana,"Kingdon Ward, F",5741,5-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00024734.jpg,,,,,,,,,, +,Primula chamaedoron,"Ludlow, F & Sherriff, G",2373,14-Jul-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024663.jpg,,,,,,,,,, +,Primula chionantha,T.T.Yu,11179,19370430,云南省,3100,grassy land,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947299.jpg,,,,,,,,,, +,Primula chionantha,,13281,19760729,四川省,4100,向阳草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01944746.jpg,,,,,,,,,, +紫花雪山报春,Primula chionantha,耿玉英等,90151,1990-05-,青海县,3550,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0083483.jpg,,,,,,,,,, +裂叶脆蒴报春,Primula chionata,青藏队补点组,751338,19750812,西藏自治区,4200~4400,古冰川谷地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947793.jpg,,,,,,,,,, +,Primula chionogenes,"Ludlow, F & Sherriff, G",3983,7-Jun-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00024666.jpg,,,,,,,,,, +,Primula chlorodryas,J.F.Rock,17027,1928.5-6,云南省,4450,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0020382.jpg,,,,,,,,,, +,Primula chlorodryas,J.F.Rock,22750,19320000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00093958.jpg,,,,,,,,,, +中甸灯台报春,Primula chungensis,T.T.Yu,14546,19371015,四川省,3340,under thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947619.jpg,,,,,,,,,, +中甸灯台报春,Primula chungensis,倪志诚等,59,19800619,西藏自治区,4200,山坡云杉林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947323.jpg,,,,,,,,,, +雅洁粉报春,Primula concinna,青藏队,5692,19750611,西藏自治区,4800,山坡草甸岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947794.jpg,,,,,,,,,, +雅洁粉报春,Primula concinna,H.Kanai etc.,721866,19720823,,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/89697.jpg,,,,,,,,,, +雅洁粉报春,Primula concinna,M. Suzuki etc.,8580304,19850716,Topke Gola,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/89696.jpg,,,,,,,,,, +散布报春,Primula conspersa,孔冬梅,k0072,20140414,山西省,943,悬崖脚下,水边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034465.jpg,,,,,,,,,, +散布报春,Primula conspersa,孙学刚,20010196,20010812,甘肃省,2450,林缘水边草滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01883187.jpg,,,,,,,,,, +散布报春,Primula conspersa,傅坤俊,17460,19770614,陕西省,2200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01646773.jpg,,,,,,,,,, +穗花报春,Primula deflexa,PE西藏队,PE5808,20170903,西藏自治区,3401,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330745.jpg,,,,,,,,,, +穗花报春,Primula deflexa,"川西队,关克俭,王文采等",1304,19630802,四川省,3400,山坡灌丛或林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092224.jpg,,,,,,,,,, +,Primula denticulata subsp. alta,青藏队,6730,19820522,云南省,2500,山坡落叶阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01502235.jpg,,,,,,,,,, +报春花,Primula denticulata subsp. alta,汉源队,329,19780522,四川,1700,,一年生草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM715702273.jpg,,,,,,,,,, +,Primula denticulata subsp. alta,贵阳队,4,19650324,贵州省,,灌丛中草地,,有花无果,https://image.cvh.ac.cn/files/l/HGAS/HGAS0078220.jpg,,,,,,,,,, +展瓣紫晶报春,Primula dickieana,生态室高原组,10335,19800625,西藏自治区,3400,草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495875.jpg,,,,,,,,,, +展瓣紫晶报春,Primula dickieana,J.F.Rock,22170,1932.5-6,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0020395.jpg,,,,,,,,,, +展瓣紫晶报春,Primula dickieana,俞德浚,19338,19380713,云南省,4100~3900,Alpine grassland,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187271.jpg,,,,,,,,,, +,Primula dryadifolia subsp. chlorodryas,T.Yoshida,K67,20110722,云南省,3850,on a wet stony slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1217068.jpg,,,,,,,,,, +石岩报春(原亚种),Primula dryadifolia subsp. dryadifolia,张挺,刘成,马梁梁,付小刚,20CS19565,20200709,四川,4513,高山流石滩,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506270.jpg,,,,,,,,,, +灌丛报春,Primula dumicola,赵子孝,40,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205727.jpg,,,,,,,,,, +灌丛报春,Primula dumicola,钟补勤,447,19280429,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205726.jpg,,,,,,,,,, +灌丛报春,Primula dumicola,独龙江考察队,5175,19910326,云南省,2100,沟边石上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/189099.jpg,,,,,,,,,, +,Primula elizabethae,"Ludlow, F & Sherriff, G",1886,29-Jun-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024612.jpg,,,,,,,,,, +,Primula erythrocarpa,青藏队补点组,750356,19750616,西藏自治区,4700,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947787.jpg,,,,,,,,,, +,Primula erythrocarpa,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13607,2-May-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00024427.jpg,,,,,,,,,, +峨眉报春,Primula faberi,川经凉 59 字,767,19590619,四川省,2800,山顶草地阳处路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947524.jpg,,,,,,,,,, +峨眉报春,Primula faberi,毛品一,1048,19520527,云南省,3900,石山青苔石上润湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946297.jpg,,,,,,,,,, +镰叶雪山报春,Primula falcifolia,"程树志,李渤生",47,19820814,西藏自治区,4150,高山 灌丛草甸中Salix混生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495823.jpg,,,,,,,,,, +,Primula falcifolia,"Kingdon Ward, F",5839,24-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00024614.jpg,,,,,,,,,, +镰叶雪山报春,Primula falcifolia,谢登峰、蔡竞、秦换换,CJ-008-A-032,20200920,四川,2872.83m,灌丛山坡,阴生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02061267.jpg,,,,,,,,,, +金川粉报春,Primula fangii,汤宗孝,1141,19830620,四川省,3100,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205758.jpg,,,,,,,,,, +金川粉报春,Primula fangii,魏振铎,288,19620715,青海省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0212530.jpg,,,,,,,,,, +,Primula farreriana,"Farrer, R. & Purdum, W.",560,15-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00024226.jpg,,,,,,,,,, +束花粉报春,Primula fasciculata,青藏队植被组,8038,19760525,西藏自治区,3800,沟谷,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061818.jpg,,,,,,,,,, +束花粉报春,Primula fasciculata,"T.Naito,K.Y.Lang,Y.Tateishi etc.",499,19860430,四川省,3800,among the low height grasses in alpine meadow along stream,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048712.jpg,,,,,,,,,, +束花粉报春,Primula fasciculata,杨永昌,834,19650526,青海省,3750,河漫滩水渠边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01944619.jpg,,,,,,,,,, +雅东粉报春,Primula fernaldiana,郝刚、徐源等,120157,20120628,四川省,0~3315,路边荒山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769382.jpg,,,,,,,,,, +雅东粉报春,Primula fernaldiana,,40,19800611,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715702451.jpg,,,,,,,,,, +,Primula fernaldiana,"Rock, J.F.",23682,May-32,,,,,,https://image.cvh.ac.cn/files/l/E/E00024128.jpg,,,,,,,,,, +葶立钟报春,Primula firmipes,罗建等,LuoJian-XZ-0927,20090621,西藏自治区,3358,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913206.jpg,,,,,,,,,, +葶立钟报春,Primula firmipes,青藏队,8354,19820722,云南省,3200,山谷中湿润草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01502250.jpg,,,,,,,,,, +葶立钟报春,Primula firmipes,宋滋圃,38574,19561004,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205810.jpg,,,,,,,,,, +,Primula flabellifera,"Kingdon Ward, F",11949,9-Jul-35,,,,,,https://image.cvh.ac.cn/files/l/E/E00024739.jpg,,,,,,,,,, +,Primula flaccida,秦仁昌,22813,19290529,云南省,,杂木林内岩石上荫,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947541.jpg,,,,,,,,,, +垂花报春,Primula flaccida,李永亮,LiYL1576,20160801,云南,,南亚热带杜鹃灌丛黄竹林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1441017.jpg,,,,,,,,,, +黄花粉叶报春,Primula flava,孙学刚等,2131,20000804,甘肃省,3220,石质山地灌丛下湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798340.jpg,,,,,,,,,, +黄花粉叶报春,Primula flava,Ho Ting-nung et al.,359,19930726,青海省,3450~3550,General area alpine meadow with close species rich turf and ourcrops of scist and quartzite.Moist slope in rock crevices,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106115.jpg,,,,,,,,,, +巨伞钟报春,Primula florindae,PE西藏队,PE6820,20170917,西藏自治区,3971,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330538.jpg,,,,,,,,,, +灰岩皱叶报春,Primula forrestii,北京所横断山队,2660,19810805,云南省,2900,白水河边岩石壁上偶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02047551.jpg,,,,,,,,,, +灰岩皱叶报春,Primula forrestii,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946789.jpg,,,,,,,,,, +长蒴圆叶报春,Primula gambeliana,西藏中草药普查队,4369,19720823,西藏自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/33048.jpg,,,,,,,,,, +,Primula gemmifera var. gemmifera,张建文,杨斌,陈洪梁,Zh 258,20130822,四川省,3795,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1253276.jpg,,,,,,,,,, +,Primula gemmifera var. monantha,"Forrest, George",19678,21-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00024139.jpg,,,,,,,,,, +,Primula gemmifera var. rupestris,"Limpricht, Hans W.",2043,23-Jul-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00024140.jpg,,,,,,,,,, +,Primula gemmifera var. zambalensis,横断山队植被组,4595,19830711,云南省,4300,高山 流石坡下缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518385.jpg,,,,,,,,,, +,Primula gemmifera var. zambalensis,"Forrest, George",14030,17-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00024134.jpg,,,,,,,,,, +滇藏掌叶报春,Primula geraniifolia,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-2055,20130824,西藏自治区,3300,山谷 林缘 草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000619.jpg,,,,,,,,,, +滇藏掌叶报春,Primula geraniifolia,K.M.Feng,5295,19400711,云南省,3500~3600,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946248.jpg,,,,,,,,,, +滇藏掌叶报春,Primula geraniifolia,H.Kanai et al.,873274,19720628,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913197.jpg,,,,,,,,,, +立花头序报春,Primula glomerata,武素功,8581257,19850831,Topke Gola,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187622.jpg,,,,,,,,,, +立花头序报春,Primula glomerata,H.Ohashi etc.,775167,19770817,,4100,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187625.jpg,,,,,,,,,, +立花头序报春,Primula glomerata,张晓纬、田新民、罗建,Liujq-09xz-lzt-058,20090905,西藏自治区,4329,高原河谷,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00002734.jpg,,,,,,,,,, +,Primula gracilipes,青藏队植被组,3660,19750604,西藏自治区,3500,林下水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061494.jpg,,,,,,,,,, +纤柄脆蒴报春,Primula gracilipes,H.Hara etc.,12629,19670514,,3200,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187628.jpg,,,,,,,,,, +滇南报春,Primula henryi,白龙江考察队,678,19980723,甘肃省,1700,山地 山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560394.jpg,,,,,,,,,, +滇南报春,Primula henryi,王守正,309,19640514,云南省,1620,山脊常绿阔叶林下阴湿,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187634.jpg,,,,,,,,,, +宝兴掌叶报春,Primula heucherifolia,汤宗孝,1322,19830703,四川省,3850,高山稀疏灌丛草甸草场,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947779.jpg,,,,,,,,,, +宝兴掌叶报春,Primula heucherifolia,,8962,19600613,云南省,3700,山坡阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01060887.jpg,,,,,,,,,, +,Primula hilaris,"Ludlow, F. & Sherriff, G.",2370,14-Jul-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024681.jpg,,,,,,,,,, +春花脆蒴报春,Primula hookeri,郝刚、徐源等,120187,20120702,西藏自治区,0~3994,山坡、林缘、灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769411.jpg,,,,,,,,,, +春花脆蒴报春,Primula hookeri,冯国楣,6649,19400814,云南省,3800~3700,杜鹃林中,,有果无花,https://image.cvh.ac.cn/files/l/KUN/189463.jpg,,,,,,,,,, +雅江报春,Primula involucrata subsp. yargongensis,T.T.Yu,7144,19370710,四川省,3500,mt.slope grassy place,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233802.jpg,,,,,,,,,, +雅江报春,Primula involucrata subsp. yargongensis,T.T.Yu,14538,19371014,云南省,3340,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233687.jpg,,,,,,,,,, +缺叶钟报春,Primula ioessa,贾慎修,232,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00205935.jpg,,,,,,,,,, +缺叶钟报春,Primula ioessa,"张永田,郞楷永",2491,19650903,西藏自治区,5350,山坡水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205934.jpg,,,,,,,,,, +,Primula ioessa,"Ludlow, F. & Sherriff, G.",2514,27-Aug-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024721.jpg,,,,,,,,,, +藏南粉报春,Primula jaffreyana,PE西藏考察队,7241,20180614,西藏自治区,4163,河谷坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332274.jpg,,,,,,,,,, +藏南粉报春,Primula jaffreyana,克里木 ,T112,83.08.16,新疆维吾尔自治区 ,4610,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00029615.jpg,,,,,,,,,, +藏南粉报春,Primula jaffreyana,田旗、王正伟、郭光普,TQ00432,20110501,西藏,3320,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0071205.jpg,,,,,,,,,, +,Primula jucunda,"Ludlow, F. & Sherriff, G.",1732,29-May-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024684.jpg,,,,,,,,,, +等梗报春,Primula kialensis,杨竞生,91-054,19910505,四川省,2750,路马山公园路边山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947643.jpg,,,,,,,,,, +等梗报春,Primula kialensis,余奇、黎怀诚,THP-KD-0660,20170606,四川,2220~2702,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243029.jpg,,,,,,,,,, +工布报春,Primula kongboensis,K.Yao et,3082,19900705,西藏自治区,4500,,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048791.jpg,,,,,,,,,, +工布报春,Primula kongboensis,张林、李星月、张晓严,2-162,20180612,西藏,4225,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023793.jpg,,,,,,,,,, +条裂叶报春,Primula laciniata,四川植物标本,5454,19740627,四川省,4200,沟谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/01060903.jpg,,,,,,,,,, +条裂叶报春,Primula laciniata,中国科学院植物研究所,91168,1957/6/5,重庆,1450,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0315164.jpg,,,,,,,,,, +囊谦报春,Primula lactucoides,藏药队,1334,19720921,青海省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0229488.jpg,,,,,,,,,, +宽裂掌叶报春,Primula latisecta,T.Naito et al. ,1234,19860520,西藏自治区,3000~3300,On wet ground at margin of thickets along stream.,,有花有果,https://image.cvh.ac.cn/files/l/PE/01060905.jpg,,,,,,,,,, +宽裂掌叶报春,Primula latisecta,田旗、王正伟、郭光普,TQ00417,20110501,西藏,3182,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0071120.jpg,,,,,,,,,, +,Primula latisecta,"Kingdon Ward, F",5819,22-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00024421.jpg,,,,,,,,,, +疏序球花报春,Primula laxiuscula,Yuan Xu,Xul30134,20130608,西藏自治区,0~4644,高山草甸灌丛边,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769904.jpg,,,,,,,,,, +长苞大叶报春,Primula macrophylla var. moorcroftiana,西植新疆队,1121,1978/7/7,新疆维吾尔族自治区,4500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0334329.jpg,,,,,,,,,, +长苞大叶报春,Primula macrophylla var. moorcroftiana,新疆采集队,1484,19780716,新疆维吾尔自治区,4300,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0335348.jpg,,,,,,,,,, +,Primula macrophylla var. ninguida,"Kingdon Ward, F",5745,6-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00024568.jpg,,,,,,,,,, +报春花,Primula malacoides,"刘恩德,方伟,徐洲锋等",3588,20120324,云南省,2173,streamside,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005658.jpg,,,,,,,,,, +报春花,Primula malacoides,四川植物标本,429,19640422,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947806.jpg,,,,,,,,,, +,Primula malvacea var. alba,"Forrest, George",21557,22-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00024192.jpg,,,,,,,,,, +高峰小报春,Primula minutissima,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1774,20130822,西藏自治区,,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000644.jpg,,,,,,,,,, +马尔康报春,Primula moupinensis subsp. barkamensis,李馨,7707,1957/5/12,四川省,2470,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0251504.jpg,,,,,,,,,, +苔状小报春,Primula muscoides,T.T.Yu,6568,19370622,四川省,3500,side of mt. stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946872.jpg,,,,,,,,,, +,Primula mystrophylla,"Forrest, George",14221,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00024444.jpg,,,,,,,,,, +天山报春,Primula nutans,"Q.Wang,K.Yao",99082,19990700,四川省,2400,山坡干燥崖壁上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115558.jpg,,,,,,,,,, +天山报春,Primula nutans,"郑度,郭柯",12336,19880806,新疆维吾尔自治区,4100,塔头沼泽草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048359.jpg,,,,,,,,,, +天山报春,Primula nutans,"刘冰,刘夙",666,20070522,内蒙古自治区,1266,草甸草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040615.jpg,,,,,,,,,, +海棠叶报春,Primula obconica subsp. begoniiformis,Hao Gang,378,2002-06-,云南省,2700,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0116413.jpg,,,,,,,,,, +海棠叶报春,Primula obconica subsp. begoniiformis,溥发鼎,姚淦,482,19821024,四川省,3040~3400,,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00049399.jpg,,,,,,,,,, +,Primula obconica subsp. obconica,"蔡杰, 亚吉东, 李昌洪",17CS15141,20170509,云南,2389,常绿阔叶林林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445352.jpg,,,,,,,,,, +,Primula obliqua,PE西藏考察队,7835,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332373.jpg,,,,,,,,,, +斜花雪山报春,Primula obliqua,"张挺, 刘成, 亚吉东",18CS17701,20180916,西藏,3960,路上方山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487397.jpg,,,,,,,,,, +斜花雪山报春,Primula obliqua,H.Ohba etc.,8530300,19850719,,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187922.jpg,,,,,,,,,, +,Primula occlusa,"Ludlow, F & Sherriff, G",725,27-Jul-34,,,,,,https://image.cvh.ac.cn/files/l/E/E00024536.jpg,,,,,,,,,, +,Primula odontica,"Ludlow, F & Sherriff, G",2153,13-Jun-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024383.jpg,,,,,,,,,, +心愿报春,Primula optata,"张建文,杨斌,陈洪梁",Zh697,20130903,青海省,4900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064823.jpg,,,,,,,,,, +心愿报春,Primula optata,"姜恕,金存礼等",1167,19590620,四川省,3620,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061229.jpg,,,,,,,,,, +圆瓣黄花报春,Primula orbicularis,宋滋圃,39089,19540000,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01946678.jpg,,,,,,,,,, +圆瓣黄花报春,Primula orbicularis,白龙江考察队,1878,19990604,甘肃省,3000,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560404.jpg,,,,,,,,,, +圆瓣黄花报春,Primula orbicularis,T.N.Ho et al.,2806,19960903,青海省,4000~4100,"Narrow limestone gorge with river at bottom.Shrub covered rocky slopes,limestone cliffs,and damp spring-or stream-fed areas,Growing in stream and wet flushes on tufa deposits",,有花有果,https://image.cvh.ac.cn/files/l/PE/01106123.jpg,,,,,,,,,, +雅跖花叶报春,Primula oxygraphidifolia,昭觉队,269,19790512,四川,2520,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715702686.jpg,,,,,,,,,, +,Primula oxygraphidifolia,"Kingdon Ward, F",5222,15-Jun-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00024158.jpg,,,,,,,,,, +,Primula pamirica,"亚吉东, 张桥蓉, 胡枭剑",16CS12004,20160605,新疆,1848,河边草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445182.jpg,,,,,,,,,, +帕米尔报春,Primula pamirica,不祥,810287,19810617,新疆维吾尔自治区,3050,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0212572.jpg,,,,,,,,,, +帕米尔报春,Primula pamirica,生物研究所西藏考察队,3390,19740705,新疆维吾尔自治区 ,3750,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/40116.jpg,,,,,,,,,, +总序报春,Primula pauliana,T.T.Yu,7438,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946770.jpg,,,,,,,,,, +总序报春,Primula pauliana,吴征镒等,1204/4,19550520,云南省,1550,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061332.jpg,,,,,,,,,, +总序报春,Primula pauliana,俞德浚,7438,0,四川,3300,阴湿岩石上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/188058.jpg,,,,,,,,,, +多脉报春,Primula polyneura,T.T.Yu,7803,19370730,四川省,3000,under shady rocks under picea forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233881.jpg,,,,,,,,,, +多脉报春,Primula polyneura,北京所横断山队,2495,19810803,云南省,,云冷杉林内湿地时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02047610.jpg,,,,,,,,,, +雅砻黄报春,Primula prattii,"关克俭,王文采等",551,19630730,四川省,4400,石缝下面,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947216.jpg,,,,,,,,,, +雅砻黄报春,Primula prattii,Hopkingson,614,19300704,甘肃省,3000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061438.jpg,,,,,,,,,, +朗贡灯台报春,Primula prenantha subsp. morsheadiana,西藏中草药普查队,3184,19720603,西藏自治区,3500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/31527.jpg,,,,,,,,,, +朗贡灯台报春,Primula prenantha subsp. morsheadiana,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19287,20200629,西藏,3810,草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489331.jpg,,,,,,,,,, +小花灯台报春(原亚种),Primula prenantha subsp. prenantha,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19295,20200702,西藏,3406,高山灌草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489269.jpg,,,,,,,,,, +球毛小报春,Primula primulina,,75-645,19750713,西藏自治区,,大叶杜鹃林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947461.jpg,,,,,,,,,, +球毛小报春,Primula primulina,H.Ohashi etc.,770675,19770811,,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/188554.jpg,,,,,,,,,, +球毛小报春,Primula primulina,H.Ohba etc.,8580584,19850730,Topke Gola,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/188476.jpg,,,,,,,,,, +滇海水仙花,Primula pseudodenticulata,T.T.Yu,14464,19371225,云南省,3200,border of field,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061457.jpg,,,,,,,,,, +滇海水仙花,Primula pseudodenticulata,J.F.Rock,18004,1929.6.,四川省,4000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0020489.jpg,,,,,,,,,, +松潘报春,Primula pseudoglabra,胡启明,8943,1988-05-,四川省,3150,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0083466.jpg,,,,,,,,,, +松潘报春,Primula pseudoglabra,鞠文彬,郑臣臣,THP-KD-6558,20170818,四川,3629,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243863.jpg,,,,,,,,,, +松潘报春,Primula pseudoglabra,,14556,,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/130237523.jpg,,,,,,,,,, +丽花报春,Primula pulchella,T.T.Yu,19796,19380808,云南省,4000,alpine grassland,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233856.jpg,,,,,,,,,, +丽花报春,Primula pulchella,"陈伟烈,陈家瑞,郭柯等",6111,19840610,四川省,2950,阳坡灌丛荒坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02047854.jpg,,,,,,,,,, +丽花报春,Primula pulchella,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",40582,20090716,西藏自治区,3600~3650,cut over remnant forest on slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043224.jpg,,,,,,,,,, +柔小粉报春,Primula pumilio,青藏队植被组,1888,19740714,西藏自治区,3900,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061337.jpg,,,,,,,,,, +柔小粉报春,Primula pumilio,郭柯,K-002,19900526,青海省,4300,冲积扇水沟,,无花无果,https://image.cvh.ac.cn/files/l/PE/01469068.jpg,,,,,,,,,, +紫罗兰报春,Primula purdomii,"张建文,杨斌,陈洪梁",Zh873,20130912,四川省,4510,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064891.jpg,,,,,,,,,, +紫罗兰报春,Primula purdomii,"张建文,杨斌,陈洪梁",Zh490,20130828,青海省,4430,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02049341.jpg,,,,,,,,,, +紫罗兰报春,Primula purdomii,孙学刚等,20010152,20010524,甘肃省,3000~3500,高山草甸林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798343.jpg,,,,,,,,,, +青海报春,Primula qinghaiensis,T.N.Ho et al.,2963,19960907,青海省,3700,"Limestone gorge,Growing on damp deeply shaded rock ledges at near base of cliffs",,有花有果,https://image.cvh.ac.cn/files/l/PE/01106125.jpg,,,,,,,,,, +网叶钟报春,Primula reticulata,罗建等,LuoJian-XZ-0927,20090621,西藏自治区,3358,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913220.jpg,,,,,,,,,, +网叶钟报春,Primula reticulata,H.Kanai etc.,723023,19720622,,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/188555.jpg,,,,,,,,,, +网叶钟报春,Primula reticulata,H.Ohba etc.,8580215,19850709,Topke Gola,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/188548.jpg,,,,,,,,,, +,Primula rimicola,高信芬、涂卫国、何海、乔永康,7496,20030920,西藏自治区,4200,高山草地,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190791.jpg,,,,,,,,,, +岩生小报春,Primula rimicola,方震东,g-94,20021009,云南,3400,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008291.jpg,,,,,,,,,, +,Primula rimicola,"Ludlow, F & Sherriff, G",2359,14-Jul-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024507.jpg,,,,,,,,,, +纤柄皱叶报春,Primula rockii,T.T.Yu,14319,19370921,四川省,3100,石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946537.jpg,,,,,,,,,, +,Primula rockii,"Rock, Joseph Francis Charles",16451,28-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00024059.jpg,,,,,,,,,, +,Primula rubicunda,高信芬、涂卫国、何海、乔永康,6699,20030831,西藏,4800,高寒灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189393.jpg,,,,,,,,,, +,Primula rubicunda,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13852,5-Jun-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00024517.jpg,,,,,,,,,, +,Primula runcinata,T.T.Yu,13861,19371024,云南省,3100,杉林中石崖下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948000.jpg,,,,,,,,,, +,Primula runcinata,K. M. Feng,1448,1939/7/4,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00073557.jpg,,,,,,,,,, +,Primula rupicola var. albicolor,"Forrest, George",21336,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00024366.jpg,,,,,,,,,, +粉萼垂花报春,Primula sandemaniana,Yuan Xu,Xul30210,20130808,西藏自治区,0~3920,湿润石壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769901.jpg,,,,,,,,,, +,Primula sandemaniana,"Sherriff, G",2796,,,,,,,https://image.cvh.ac.cn/files/l/E/E00024744.jpg,,,,,,,,,, +小垂花报春,Primula sapphirina,郝刚、徐源等,120261,20120712,西藏自治区,0~4300,山坡、岩石上、苔藓中,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769413.jpg,,,,,,,,,, +葶花脆蒴报春,Primula scapigera,中日考察队,T310,19900605,西藏自治区,3000,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088074.jpg,,,,,,,,,, +葶花脆蒴报春,Primula scapigera,杨斌,陈洪梁,YangBChen-318,20140526,云南省,2200~3000,林下有苔藓的地方,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1249579.jpg,,,,,,,,,, +葶花脆蒴报春,Primula scapigera,H.Hara etc.,5042,19600607,,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/188619.jpg,,,,,,,,,, +偏花报春,Primula secundiflora,郎楷永等,2338,19830724,四川省,3400,河滩草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947910.jpg,,,,,,,,,, +偏花报春,Primula secundiflora,中国科学院植物所昆明分所,76-88,19760701,西藏自治区,3900,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947478.jpg,,,,,,,,,, +偏花报春,Primula secundiflora,中甸队,814,19600014,云南省,3300,河边沼泽草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947396.jpg,,,,,,,,,, +七指报春,Primula septemloba,T.T.Yu,19063,19380613,云南省,3300,margin of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947290.jpg,,,,,,,,,, +七指报春,Primula septemloba,,5485,19740704,四川省,4000,灌木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946464.jpg,,,,,,,,,, +齿叶灯台报春,Primula serratifolia,青藏队,8765,19820726,云南省,3500,湖边湿润草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01502327.jpg,,,,,,,,,, +齿叶灯台报春,Primula serratifolia,,20137,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061808.jpg,,,,,,,,,, +,Primula sikkimensis var. pudibunda,青藏队植被组,60,19740619,四川省,4300,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061321.jpg,,,,,,,,,, +,Primula sikkimensis var. pudibunda,T.T.Yu,12110,19370712,云南省,3500,mt ditch side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947015.jpg,,,,,,,,,, +小钟花报春,Primula sikkimensis var. pudibunda,T.T.Tu,12110,,云南省 ,3500,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00093788.jpg,,,,,,,,,, +贡山紫晶报春,Primula silaensis,T.T.Yu,8729,19370625,云南省,3400,mt grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946463.jpg,,,,,,,,,, +贡山紫晶报春,Primula silaensis,青藏队,1392,19870908,西藏自治区,4350,沼泽草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061671.jpg,,,,,,,,,, +贡山紫晶报春,Primula silaensis,,8948,19600613,,,山坡五花草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061668.jpg,,,,,,,,,, +糙叶铁梗报春,Primula sinolisteri var. aspera,刀志灵、崔景云,9477,1997/5/17,云南省,2600,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0083481.jpg,,,,,,,,,, +糙叶铁梗报春,Primula sinolisteri var. aspera,李策宏,874,19990422,四川,1300,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00613535.jpg,,,,,,,,,, +,Primula sinolisteri var. aspera,"Forrest, George",17660,18-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00024812.jpg,,,,,,,,,, +,Primula sinoplantaginea var. fengxiangiana,郑维列,1107,19970726,西藏自治区,4320,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/332793.jpg,,,,,,,,,, +亚东灯台报春,Primula smithiana,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0815,20130823,西藏自治区,,山谷 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000742.jpg,,,,,,,,,, +亚东灯台报春,Primula smithiana,张林、李星月、张晓严,3-219,20180615,西藏,2707,县城中路,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023581.jpg,,,,,,,,,, +,Primula sonchifolia,236 四川任务组,666,19710803,四川省,3100,林下岩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02086190.jpg,,,,,,,,,, +苣叶报春,Primula sonchifolia,K.M.Feng,3484,19400426,云南省,2700,沟边灌?丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947981.jpg,,,,,,,,,, +狭萼报春,Primula stenocalyx,N.M.Przewalski,s.n.,,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099735.jpg,,,,,,,,,, +狭萼报春,Primula stenocalyx,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",41232,20090727,西藏自治区,4400~4500,heavily grazed meadow with scattered dwarf Rhododendron nivale subsp with bare patches of reddish brown gravelly clay soil on slope in open and among shrubs,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043075.jpg,,,,,,,,,, +狭萼报春,Primula stenocalyx,杨金祥,812,19590606,陕西省,2860,山坡石岩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01944717.jpg,,,,,,,,,, +金黄脆蒴报春,Primula strumosa,PE西藏考察队,7223,20180612,西藏自治区,3398,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332431.jpg,,,,,,,,,, +金黄脆蒴报春,Primula strumosa,H.Kanai et al.,723027,19720613,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913229.jpg,,,,,,,,,, +,Primula subularia,"Ludlow, F & Sherriff, G",1912,14-Jul-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024521.jpg,,,,,,,,,, +,Primula tangutica var. tangutica,"张建文,杨斌,陈洪梁",Zh182,20130820,四川省,4220,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042979.jpg,,,,,,,,,, +,Primula tenella,PE西藏考察队,7285,20180615,西藏自治区,4154~4259,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333315.jpg,,,,,,,,,, +,Primula tenella,"King, G.",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00024523.jpg,,,,,,,,,, +细裂小报春,Primula tenuiloba,H.Kanai etc.,723010,19720627,Kochi,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/189322.jpg,,,,,,,,,, +西藏报春,Primula tibetica,PE西藏考察队,7668,20180622,西藏自治区,3614,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333317.jpg,,,,,,,,,, +三裂叶报春,Primula triloba,青藏队补点组,751335,19750812,西藏自治区,,湿润草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233850.jpg,,,,,,,,,, +三裂叶报春,Primula triloba,T.T.Yu,22275,19380810,云南省,4200,mt.rocky place,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233851.jpg,,,,,,,,,, +,Primula tsariensis,生态室高原组,10361,19800625,西藏自治区,3600,冷杉林间沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081197.jpg,,,,,,,,,, +,Primula tsariensis,"Ludlow, F. & Sherriff, G.",1711,20-May-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024691.jpg,,,,,,,,,, +,Primula tsongpenii,"Ludlow, Sherriff & Taylor",5931,25-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00024446.jpg,,,,,,,,,, +,Primula turkestanica,葛学军,Ge130151,20130724,新疆维吾尔自治区 ,0~2400,疏林,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0776029.jpg,,,,,,,,,, +土耳其斯坦报春花,Primula turkestanica,,770032,19770622,新疆,2500,,,,https://image.cvh.ac.cn/files/l/BJM/168829.jpg,,,,,,,,,, +荨麻叶报春,Primula urticifolia,N.M.Przewalski,s.n.,18800719,甘肃省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00027748.jpg,,,,,,,,,, +荨麻叶报春,Primula urticifolia,郑光荣,?,?,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0212646.jpg,,,,,,,,,, +荨麻叶报春,Primula urticifolia,"朱鑫鑫,安宇梦",ZXX18205,20180626,青海,3866,高原亚寒带高山流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435797.jpg,,,,,,,,,, +暗红紫晶报春,Primula valentiniana,"李渤生,程树志",5513,19830713,西藏自治区,,高山草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081211.jpg,,,,,,,,,, +暗红紫晶报春,Primula valentiniana,青藏队,8499,19820724,云南省,3400~3600,山坡湿润草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01502347.jpg,,,,,,,,,, +腺毛小报春,Primula walshii,青藏队植被组,12859,19760626,西藏自治区,4500,阴坡草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061795.jpg,,,,,,,,,, +腺毛小报春,Primula walshii,横断山队植被组,4782,19830803,四川省,4150,高山 草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01518379.jpg,,,,,,,,,, +紫钟报春,Primula waltonii,PE西藏队,PE5246,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330732.jpg,,,,,,,,,, +紫钟报春,Primula waltonii,刘振书,835,19340000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106073.jpg,,,,,,,,,, +靛蓝穗花报春,Primula watsonii,T.T.Yu,22335,19380813,云南省,4300,Mt. rocky place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946221.jpg,,,,,,,,,, +靛蓝穗花报春,Primula watsonii,"姜恕,金存礼等",2271,19590722,四川省,3700,阴坡冷杉林,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061911.jpg,,,,,,,,,, +鹃林脆蒴报春,Primula whitei,李继均,12,1977????,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/59010.jpg,,,,,,,,,, +鹃林脆蒴报春,Primula whitei,青藏科考队,11781,19760609,云南省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/62122.jpg,,,,,,,,,, +钟状垂花报春,Primula wollastonii,H.Ohba etc.,8570626,19850721,Topke Gola,0,on grassy steep slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/189329.jpg,,,,,,,,,, +钟状垂花报春,Primula wollastonii,西藏中草药普查队,654,19720628,西藏自治区,4600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0212651.jpg,,,,,,,,,, +钟状垂花报春,Primula wollastonii,郭先林、郑宏一,2041140,20200720,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02041140.jpg,,,,,,,,,, +岷山报春,Primula woodwardii,汪发缵等,98,19551003,陕西省,3200,雨山坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946311.jpg,,,,,,,,,, +岷山报春,Primula woodwardii,T.N.Ho et al.,2181,19960820,青海省,4540~4670,"High pass with alpine meadows at 4540m and periglacial scree slopes at 4670m,Growing in wet scree at 4670m",,有花有果,https://image.cvh.ac.cn/files/l/PE/01106129.jpg,,,,,,,,,, +岷山报春,Primula woodwardii,"张泽荣,周洪富",22104,19570614,四川省,4100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061947.jpg,,,,,,,,,, +展萼雪山报春,Primula youngeriana,"方瑞征,吕正伟",129,19900703,云南省,4000,高山杜鹃灌丛草甸,流水处,,,https://image.cvh.ac.cn/files/l/KUN/1289826.jpg,,,,,,,,,, +,Primula youngeriana,"Ludlow, F & Sherriff, G",6061,,,,,,,https://image.cvh.ac.cn/files/l/E/E00024585.jpg,,,,,,,,,, +云南报春,Primula yunnanensis,T.T.Yu,6456,19370620,四川省,3600,upon preceous rocks,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233890.jpg,,,,,,,,,, +云南报春,Primula yunnanensis,T.T.Yu,11498,19370601,云南省,2500,rocky hill,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233849.jpg,,,,,,,,,, +齿叶扁核木,Prinsepia uniflora var. serrata,孙学刚等,2841,20020512,甘肃省,2100~2150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841654.jpg,,,,,,,,,, +齿叶扁核木,Prinsepia uniflora var. serrata,Tso-Pin Wang,4292,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01115842.jpg,,,,,,,,,, +齿叶扁核木,Prinsepia uniflora var. serrata,P.Licent S.J.,2145,19160629,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01115839.jpg,,,,,,,,,, +扁核木,Prinsepia utilis,PE西藏考察队,7820,20180625,西藏自治区,2627,林缘灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333143.jpg,,,,,,,,,, +扁核木,Prinsepia utilis,中国科学院西南综考队川滇黔接壤分队,18,19650418,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02247775.jpg,,,,,,,,,, +扁核木,Prinsepia utilis,任再金,人3754,19930521,四川省,2600,山坡路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02247776.jpg,,,,,,,,,, +,Procris crenata,植物DNA条形码 滇东南考察队,GBOWS2662,20100110,云南省,1066,路边杂林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032532.jpg,,,,,,,,,, +,Procris crenata,中植联广西队,4640,20081024,广西壮族自治区,866~945,石灰岩山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014192.jpg,,,,,,,,,, +硬毛夏枯草,Prunella hispida,PE西藏考察队,7959,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332764.jpg,,,,,,,,,, +硬毛夏枯草,Prunella hispida,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET0154,20080625,云南省,1278,erergreen broadleaf forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328587.jpg,,,,,,,,,, +狭叶夏枯草,Prunella vulgaris var. lanceolata,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET0657,20080628,云南省,1450,erergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328231.jpg,,,,,,,,,, +狭叶夏枯草,Prunella vulgaris var. lanceolata,Dorothy Scherer,48,19960306,,50,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106366.jpg,,,,,,,,,, +,Prunella vulgaris var. vulgaris,刘恩德,651,20030506,云南省,2300,山坡林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921179.jpg,,,,,,,,,, +,Prunella vulgaris var. vulgaris,谢寅堂,1116,19550519,陕西省,,潮湿田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689465.jpg,,,,,,,,,, +夏枯草,Prunella vulgaris var. vulgaris,李明生,19,19790528,福建省,400,路边草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/350575.jpg,,,,,,,,,, +高山小白樱,Prunus buergeriana,吴大诚,790091,19790724,江西省,970,山腰,岩石中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01359358.jpg,,,,,,,,,, +高山小白樱,Prunus buergeriana,Miyoshi Furuse,43541,19650818,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01156981.jpg,,,,,,,,,, +高山小白樱,Prunus buergeriana,"D.E.Boufford,B.D.Liu,T.S.Ying,et al.",26383,19940601,河南省,1150~950,on rock ledge at edge of stream,,无花有果,https://image.cvh.ac.cn/files/l/PE/01892416.jpg,,,,,,,,,, +,Prunus cerasoides,PE西藏考察队,7439,20180617,西藏自治区,2808,山坡、林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332410.jpg,,,,,,,,,, +,Prunus cerasoides,Pavlos Georgiadis,404,20110220,云南省,1700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01928066.jpg,,,,,,,,,, +,Prunus clarofolia,Chen Ze-Ying,112477,19800604,四川省,3730,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802945.jpg,,,,,,,,,, +,Prunus clarofolia,"蔡杰, 郭永杰, 刘恩德",13CS6917,20130601,西藏,,冷杉林林下,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1312618.jpg,,,,,,,,,, +微毛樱,Prunus clarofolia,姚淦,1424,19890702,西藏自治区,2800,山坡林下,乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00001047.jpg,,,,,,,,,, +,Prunus conadenia,PE西藏考察队,7663,20180621,西藏自治区,3796~4100,高山灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02333228.jpg,,,,,,,,,, +合腺樱,Prunus conadenia,李磬,77899,1958/6/25,四川,2700,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0250485.jpg,,,,,,,,,, +合腺樱,Prunus conadenia,李培元,2725,1959/5/28,陕西,1520,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0121892.jpg,,,,,,,,,, +全缘光萼稠李,Prunus cornuta var. integrifolia,姚淦 汤庚国 郑维列 潘刚,3956,19901006,西藏自治区,2100,常绿阔叶林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00001743.jpg,,,,,,,,,, +,Prunus crataegifolia,H. R. E. Handel-Mazzetti,8423,1915/9/28,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00032038.jpg,,,,,,,,,, +,Prunus mira,傅国勋,379,19600708,西藏自治区,3840,山坡栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078885.jpg,,,,,,,,,, +,Prunus mira,"张永洪, 王晓雄, 周卓, 岳亮亮",SunH-07ZX-0519,20080721,西藏,,高山草甸与高山灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1312536.jpg,,,,,,,,,, +,Prunus mira,"张泽云,周洪富",22887,1957/ /,四川,2650,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0242682.jpg,,,,,,,,,, +,Prunus mume,75西藏队,88号,19751104,西藏自治区,2150,山坡阳处疏林灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092434.jpg,,,,,,,,,, +,Prunus mume,张水利,HMS-BUCM-HKBU-124c01,20090220,浙江省,39,农田 果园 壤土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040949.jpg,,,,,,,,,, +,Prunus mume,C.M.Wang et al.,6515,20030121,台湾省,1140,On roadside of broadleaf forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902574.jpg,,,,,,,,,, +,Prunus napaulensis,植物地理调查队,205,19780702,重庆市,1900,林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093666.jpg,,,,,,,,,, +,Prunus napaulensis,B.Barhtolomew et D.E.Boufford,3860,19860331,,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01657601.jpg,,,,,,,,,, +尼泊尔稠李,Prunus napaulensis,,312,,湖南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0337723.jpg,,,,,,,,,, +,Prunus obtusata,傅德志等,1596,20140423,四川省,1400,山谷 疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918968.jpg,,,,,,,,,, +,Prunus obtusata,Yu-pin Cheng,4624,20060524,台湾省,,2800,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902007.jpg,,,,,,,,,, +,Prunus obtusata,D.E.Boufford et al.,37804,20070521,甘肃省,2170~2425,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814887.jpg,,,,,,,,,, +毛花红毛樱,Prunus rufa var. trichantha,C.W.Wang,63768,19350600,云南省 ,3000,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00060387.jpg,,,,,,,,,, +毛梗李,Prunus salicina var. pubipes,T.T.Yu,5366,19370509,云南省,2700,among thickets,,无花无果,https://image.cvh.ac.cn/files/l/PE/00590926.jpg,,,,,,,,,, +毛梗李,Prunus salicina var. pubipes,T.T.Yu,14397,19370930,四川省,3100,丛林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00590923.jpg,,,,,,,,,, +李(原变种),Prunus salicina var. salicina,汤文建,20022,19850510,湖北,730,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0009747.jpg,,,,,,,,,, +李(原变种),Prunus salicina var. salicina,邓姣姣、卫靜丽、刘常坤,DLW-02-B-001,20210524,四川,1918.09m,山坡草地,中生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02066198.jpg,,,,,,,,,, +马尿泡,Przewalskia tangutica,PE西藏考察队,7032,20180608,西藏自治区,4172~4868,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331981.jpg,,,,,,,,,, +马尿泡,Przewalskia tangutica,郭柯,K-003,19900526,青海省,,冲积扇水沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099578.jpg,,,,,,,,,, +沙鞭,Psammochloa villosa,"陈昌笃,孔令诏",24,19620615,内蒙古自治区,1410,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082529.jpg,,,,,,,,,, +沙鞭,Psammochloa villosa,"郭本兆,王为义",11816,19750805,青海省,2900,沙漠中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00614769.jpg,,,,,,,,,, +沙鞭,Psammochloa villosa,河西队,1349,19640802,甘肃省,1500,固定沙丘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00614767.jpg,,,,,,,,,, +金铁锁,Psammosilene tunicoides,青藏队,4186,19810824,四川省,3300,山坡碎石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821075.jpg,,,,,,,,,, +金铁锁,Psammosilene tunicoides,"张永田,郞楷永",1077,19650728,西藏自治区,3040,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01187847.jpg,,,,,,,,,, +金铁锁,Psammosilene tunicoides,,W4,19810709,,2800,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934517.jpg,,,,,,,,,, +单花新麦草,Psathyrostachys kronenburgii,郭柯等,天山077,19860730,新疆维吾尔自治区,2880,亚高山草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805874.jpg,,,,,,,,,, +单花新麦草,Psathyrostachys kronenburgii,岳伟,苏旭,王玉金,LiuJQ-2011-WYJ-183,20110917,西藏,4694,温带草甸平地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1403794.jpg,,,,,,,,,, +单花新麦草,Psathyrostachys kronenburgii,王朝品,????,19750606,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0234635.jpg,,,,,,,,,, +钩毛草,Pseudechinolaena polystachya,侯学良,9311,20031206,福建省,150,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01787213.jpg,,,,,,,,,, +钩毛草,Pseudechinolaena polystachya,A.A.Obermeger,37504,19371200,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01721259.jpg,,,,,,,,,, +钩毛草,Pseudechinolaena polystachya,青藏队植被组,3052,19740903,西藏自治区,800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469338.jpg,,,,,,,,,, +,Pseudognaphalium affine,FLPH Tibet Expedition,12-1173,,西藏自治区,,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02002048.jpg,,,,,,,,,, +,Pseudognaphalium affine,D. E. Boufford et al.,38209,20070725,四川省,2510,"along river and on slopes, meadows and forested areas",,有花无果,https://image.cvh.ac.cn/files/l/PE/01882650.jpg,,,,,,,,,, +,Pseudognaphalium affine,D.E.Boufford et al.,37610,20070513,甘肃省,825~890,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814841.jpg,,,,,,,,,, +金头拟鼠曲草,Pseudognaphalium chrysocephalum,姚玲玲,20181093,20180417,贵州省,411,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0028401.jpg,,,,,,,,,, +金头拟鼠麴草,Pseudognaphalium chrysocephalum,余奇,熊先华,李诗琦,CIBYQ003B005,20170915,四川,2744,山坡,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1503528.jpg,,,,,,,,,, +拉萨拟鼠曲草,Pseudognaphalium flavescens,张兰,20188096,20180417,贵州省,495,路边地上,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0028772.jpg,,,,,,,,,, +拉萨拟鼠麹草,Pseudognaphalium flavescens,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201753,20200815,西藏,3839,荒坡上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508967.jpg,,,,,,,,,, +,Pseudognaphalium hypoleucum,FLPH Tibet Expedition,12-1350,20120916,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018078.jpg,,,,,,,,,, +,Pseudognaphalium hypoleucum,赵佐成,4841,19931026,四川省,2280,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018077.jpg,,,,,,,,,, +蔓假繁缕,Pseudostellaria davidii,"何明友,谭仲明",116969,19830417,四川省,1100,路旁草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099625.jpg,,,,,,,,,, +蔓假繁缕,Pseudostellaria davidii,甘启良,1354,20060503,湖北省,1300,溪边潮湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059430.jpg,,,,,,,,,, +蔓假繁缕,Pseudostellaria davidii,"刘冰,于飞海",705,20070428,河北省,1209,阴坡林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042798.jpg,,,,,,,,,, +异叶假繁缕,Pseudostellaria heterophylla,"王忠涛,曲上,徐连升",140058,20140610,河北省,1807,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031010.jpg,,,,,,,,,, +异叶假繁缕,Pseudostellaria heterophylla,"张志耘,谢磊",2013-117,20130605,山东省,600,valley roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977813.jpg,,,,,,,,,, +异叶假繁缕,Pseudostellaria heterophylla,K.-J. Kim et al.,20090439,20090424,,137,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873803.jpg,,,,,,,,,, +须弥孩儿参,Pseudostellaria himalaica,罗建等,LuoJian-XZ-0925,20090621,西藏自治区,3358,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898338.jpg,,,,,,,,,, +须弥孩儿参,Pseudostellaria himalaica,D.E.Boufford et al.,37789,20070520,甘肃省,2400~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658664.jpg,,,,,,,,,, +假繁缕,Pseudostellaria maximowicziana,孙学刚等,20010069,20010521,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801094.jpg,,,,,,,,,, +假繁缕,Pseudostellaria maximowicziana,,800,19650521,北京市,1100,山坡 小道阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01219221.jpg,,,,,,,,,, +假繁缕,Pseudostellaria maximowicziana,,76-91,19760701,西藏自治区,3900,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00603346.jpg,,,,,,,,,, +狭叶假繁缕,Pseudostellaria sylvatica,PE西藏考察队,7630,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332737.jpg,,,,,,,,,, +狭叶假繁缕,Pseudostellaria sylvatica,Oh Sang-mi,s.n.,19950429,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01816470.jpg,,,,,,,,,, +狭叶假繁缕,Pseudostellaria sylvatica,孙学刚等,20010113,20010522,甘肃省,2400,云杉灌叶松仁林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801093.jpg,,,,,,,,,, +,Pseudostellaria tibetica,,12000,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01187852.jpg,,,,,,,,,, +西藏孩儿参,Pseudostellaria tibetica,方文培,22180,1957-06-,四川省,3450,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0149279.jpg,,,,,,,,,, +,Pseudostellaria tibetica,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-0484,20080720,西藏,4037,高山草甸与高山灌丛,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1301255.jpg,,,,,,,,,, +澜沧黄杉,Pseudotsuga forrestii,"李渤生,程树志,倪志诚",6823,19830826,西藏自治区,2200~2600,河谷灌沟中局疗成林,,无花无果,https://image.cvh.ac.cn/files/l/PE/02073236.jpg,,,,,,,,,, +澜沧黄杉,Pseudotsuga forrestii,北京所横断山队,3413,19810822,云南省,2400~3400,高山栎 云杉 林下常见种,,无花无果,https://image.cvh.ac.cn/files/l/PE/01539556.jpg,,,,,,,,,, +美果九节,Psychotria calocarpa,"程树志,李渤生",2349,19821228,西藏自治区,1100~850,常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01590555.jpg,,,,,,,,,, +美果九节,Psychotria calocarpa,中越考察队,1802,19650126,,2100,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0476091.jpg,,,,,,,,,, +美果九节,Psychotria calocarpa,毛品一,582,19511228,云南省,800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0476088.jpg,,,,,,,,,, +云南九节,Psychotria yunnanensis,,青6教11,19730900,广西壮族自治区,600,石灰岩山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02016031.jpg,,,,,,,,,, +云南九节,Psychotria yunnanensis,S.K.WU et al.,437,19951016,云南省,1700~1900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01884756.jpg,,,,,,,,,, +云南九节,Psychotria yunnanensis,"程树志,李渤生",3200,19821130,西藏自治区,1100,杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01590554.jpg,,,,,,,,,, +藏寒蓬,Psychrogeton poncinsii,西植新疆队,1010,19780705,新疆维吾尔自治区,3600,平草滩草甸草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825669.jpg,,,,,,,,,, +藏寒蓬,Psychrogeton poncinsii,,73-198,1973628,,3400,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022109.jpg,,,,,,,,,, +藏寒蓬,Psychrogeton poncinsii,西植新疆队,1010,19780705,新疆,3600,平草滩草甸草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825669.jpg,,,,,,,,,, +散血芹,Pternopetalum botrychioides,白水江考察队,1008,20060704,甘肃省,1560,河谷山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827812.jpg,,,,,,,,,, +散血芹,Pternopetalum botrychioides,杨光辉,55361,19570615,四川省,3060,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00782201.jpg,,,,,,,,,, +丛枝囊瓣芹,Pternopetalum caespitosum,青藏队,2268,19810709,云南省,3800,冷杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129986.jpg,,,,,,,,,, +丛枝囊瓣芹,Pternopetalum caespitosum,青藏队,3435,19810807,四川省,3600,山沟 云冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129979.jpg,,,,,,,,,, +丛枝囊瓣芹,Pternopetalum caespitosum,西藏中草药普查队,3898,19720726,西藏自治区,3800,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00782312.jpg,,,,,,,,,, +心果囊瓣芹,Pternopetalum cardiocarpum,"李渤生,程树志",559,19820903,西藏自治区,,云冷杉林下 常见草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538825.jpg,,,,,,,,,, +心果囊瓣芹,Pternopetalum cardiocarpum,,23053,19570718,四川省,3000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00782474.jpg,,,,,,,,,, +心果囊瓣芹,Pternopetalum cardiocarpum,"M.G.Pimenov,E.V.Kljuykov,hu ZhiHao,Liu Qixing",504,19981001,云南省,3200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00782450.jpg,,,,,,,,,, +囊瓣芹,Pternopetalum davidii,"李渤生,程树志",4349,19830427,西藏自治区,,河边 林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538826.jpg,,,,,,,,,, +囊瓣芹,Pternopetalum davidii,壶瓶山考察队,1354,19870711,湖南省,1400~1500,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01345468.jpg,,,,,,,,,, +澜沧囊瓣芹,Pternopetalum delavayi,尹志坚等,1662,20090723,云南省,3100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01925445.jpg,,,,,,,,,, +澜沧囊瓣芹,Pternopetalum delavayi,D.E.Boufford et al.,35875,20060806,四川省,3480~3640,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923360.jpg,,,,,,,,,, +澜沧囊瓣芹,Pternopetalum delavayi,西藏中草药普查队,3522,19720622,西藏自治区,3800,林下 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491076.jpg,,,,,,,,,, +嫩弱囊瓣芹,Pternopetalum delicatulum,赵子孝,67,,四川省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465059.jpg,,,,,,,,,, +羊齿囊瓣芹,Pternopetalum filicinum,Harry Smith,2135,19220528,四川省,2100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00782478.jpg,,,,,,,,,, +羊齿囊瓣芹,Pternopetalum filicinum,第八森林经理大队,3713,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00782431.jpg,,,,,,,,,, +纤细囊瓣芹,Pternopetalum gracillimum,Harry Smith,10138,19340626,四川省,2600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00782248.jpg,,,,,,,,,, +纤细囊瓣芹,Pternopetalum gracillimum,峨眉组,737,,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715005235.jpg,,,,,,,,,, +纤细囊瓣芹,Pternopetalum gracillimum,方震东,肖茂荣,史效武,李红,谢红艳,PL-060,20051002,云南省,4203,林下,苔藓从中,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005504.jpg,,,,,,,,,, +异叶囊瓣芹,Pternopetalum heterophyllum,J.I.Jeon et al.,SI1519,20100812,四川省,2997,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01924421.jpg,,,,,,,,,, +异叶囊瓣芹,Pternopetalum heterophyllum,白水江考察队,937,20060629,甘肃省,2000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827844.jpg,,,,,,,,,, +异叶囊瓣芹,Pternopetalum heterophyllum,壶瓶山考察队,1318,19870710,湖南省,1500~1800,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01608471.jpg,,,,,,,,,, +长茎囊瓣芹,Pternopetalum longicaule,D.E.Boufford et al.,33434,20050718,四川省,3640~3730,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923519.jpg,,,,,,,,,, +长茎囊瓣芹,Pternopetalum longicaule,"应俊生,洪德元",650889,19650806,西藏自治区,4000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00782321.jpg,,,,,,,,,, +长茎囊瓣芹,Pternopetalum longicaule,简焯坡,张维等,50617,19650602,贵州省,1600,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465029.jpg,,,,,,,,,, +洱源囊瓣芹,Pternopetalum molle,PE西藏考察队,7168,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332159.jpg,,,,,,,,,, +洱源囊瓣芹,Pternopetalum molle,王启无,63990,19350600,云南省,3500,(Under forest)Ravine side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00782470.jpg,,,,,,,,,, +洱源囊瓣芹,Pternopetalum molle,Harry Smith,10627,19340802,四川省,3100,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00782322.jpg,,,,,,,,,, +,Pternopetalum sinense,滇西北金沙江队,4129,19630527,云南省,2480,山谷溪边岩隙,,无花有果,https://image.cvh.ac.cn/files/l/PE/00782471.jpg,,,,,,,,,, +华囊瓣芹,Pternopetalum sinense,岳俊三等,4599,19631005,江西省,900,荫性山坡灌缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465180.jpg,,,,,,,,,, +高山囊瓣芹,Pternopetalum subalpinum,青藏队,8658,19820726,云南省,3500~3600,垭口附近草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132002.jpg,,,,,,,,,, +高山囊瓣芹,Pternopetalum subalpinum,李良千,费勇等,377,19820701,四川省,2500~2600,铁杉云杉林下,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0465024.jpg,,,,,,,,,, +鹧鸪山囊瓣芹,Pternopetalum trifoliatum,青藏补点组,750951,19750728,西藏自治区,3400,林下荫处苔藓,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0465070.jpg,,,,,,,,,, +鹧鸪山囊瓣芹,Pternopetalum trifoliatum,付坤俊,4759,19520625,陕西省,1900,坡基杂草中,直立小草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465074.jpg,,,,,,,,,, +鹧鸪山囊瓣芹,Pternopetalum trifoliatum,吴征镒等,4298,19760808,云南省,3300,林缘,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0465077.jpg,,,,,,,,,, +五匹青,Pternopetalum vulgare,"张树仁,陈淑荣,朗校安等",1917,20140614,四川省,1600~1900,山坡 林下 路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021255.jpg,,,,,,,,,, +五匹青,Pternopetalum vulgare,白水江采集队,3846,20070502,甘肃省,1200,山谷林下阴湿林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827834.jpg,,,,,,,,,, +五匹青,Pternopetalum vulgare,北京队,2284,19880704,湖南省,1500,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01345479.jpg,,,,,,,,,, +天全囊瓣芹,Pternopetalum wangianum,鄂神农架植考队,10681,19760702,湖北省,2700,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086828.jpg,,,,,,,,,, +天全囊瓣芹,Pternopetalum wangianum,曲桂龄,2772,19360000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00935539.jpg,,,,,,,,,, +天全囊瓣芹,Pternopetalum wangianum,唐昌林,1684,1967/8/2,甘肃,3150,,直立草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0280935.jpg,,,,,,,,,, +滇西囊瓣芹,Pternopetalum wolffianum,H.T.Tsai,50970,19320601,云南省,2200,Shaded places,,无花有果,https://image.cvh.ac.cn/files/l/PE/00782396.jpg,,,,,,,,,, +滇西囊瓣芹,Pternopetalum wolffianum,H.T.Tsai,1056,1932/6/20,云南,2500,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0037607.jpg,,,,,,,,,, +滇西囊瓣芹,Pternopetalum wolffianum,包维楷等,2244,1994-6 2,四川省,1850,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094645.jpg,,,,,,,,,, +云南枫杨,Pterocarya delavayi,青藏队,9949,19820905,云南省,2300,山坡 针阔混交林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01057909.jpg,,,,,,,,,, +华西枫杨,Pterocarya insignis,白水江采集队,5601,20070905,甘肃省,1960~2350,林缘,沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01812635.jpg,,,,,,,,,, +华西枫杨,Pterocarya insignis,"刘金鉴,段俊喜",113,19621001,陕西省,1620,山谷 阴处 疏林中 灌木丛中 东北坡向,,无花无果,https://image.cvh.ac.cn/files/l/PE/01609258.jpg,,,,,,,,,, +枫杨,Pterocarya stenoptera,巴山采集队,6201,20120708,四川省,700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059307.jpg,,,,,,,,,, +枫杨,Pterocarya stenoptera,巴山采集队,6101,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059303.jpg,,,,,,,,,, +枫杨,Pterocarya stenoptera,"石硕,郑敏,石一果",SZ3431,20140502,河北省,273,山坡半阳,,无花有果,https://image.cvh.ac.cn/files/l/PE/02030953.jpg,,,,,,,,,, +青檀,Pteroceltis tatarinowii,孔冬梅,k0200,20140706,山西省,722,阔叶林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036483.jpg,,,,,,,,,, +青檀,Pteroceltis tatarinowii,云台山采集队,241,20080923,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014961.jpg,,,,,,,,,, +青檀,Pteroceltis tatarinowii,,Q15,19730800,广西壮族自治区,800,石灰岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984616.jpg,,,,,,,,,, +裂叶翼首花,Pterocephalus bretschneideri,罗建等,LuoJian-XZ-0937,20091012,西藏自治区,2797,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916924.jpg,,,,,,,,,, +裂叶翼首花,Pterocephalus bretschneideri,D.E.Boufford et al.,35478,20060730,四川省,2450~2575,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579763.jpg,,,,,,,,,, +裂叶翼首花,Pterocephalus bretschneideri,北京所横断山队,2759,19810809,云南省,1900,江边 石壁上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173686.jpg,,,,,,,,,, +匙叶翼首花,Pterocephalus hookeri,PE西藏队,PE6515,20170912,西藏自治区,3588,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332800.jpg,,,,,,,,,, +匙叶翼首花,Pterocephalus hookeri,陈又生,7147,20070723,四川省,4000,沙石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016157.jpg,,,,,,,,,, +白芷翼较芹,Pterocyclus angelicoides,黄光中,10,19600726,贵州省,,山顶丛林下,草本,无花无果,https://image.cvh.ac.cn/files/l/GZTM/0029875.jpg,,,,,,,,,, +,Pterocyclus wolffianus,,8958,,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0461245.jpg,,,,,,,,,, +老虎刺,Pterolobium punctatum,川黔队,2185,19561019,贵州省,1150,山坡 阴处 灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083731.jpg,,,,,,,,,, +老虎刺,Pterolobium punctatum,红河植物考察队,2540,19890623,云南省,1400,石灰岩青岗林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01965815.jpg,,,,,,,,,, +老虎刺,Pterolobium punctatum,,3978,19531000,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01965813.jpg,,,,,,,,,, +翅子树,Pterospermum acerifolium,C.W.Wang,74916,19360700,云南省,1640,thickets mountain slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/01304684.jpg,,,,,,,,,, +翅子树,Pterospermum acerifolium,C.W.Wang,74916,19360701,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0263601.jpg,,,,,,,,,, +翅子树,Pterospermum acerifolium,U.Singh,180,19280000,,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0263610.jpg,,,,,,,,,, +齿叶翅茎草,Pterygiella bartschioides,T.T.Yu,20312,19380916,云南省,2900~3100,Margin of alpine swamp,,有花有果,https://image.cvh.ac.cn/files/l/PE/01456001.jpg,,,,,,,,,, +齿叶翅茎草,Pterygiella bartschioides,Y.Tsiang,8565,19800718,贵州省,,,suffruticose,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00237355.jpg,,,,,,,,,, +齿叶翅茎草,Pterygiella bartschioides,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075772.jpg,,,,,,,,,, +圆茎翅茎草,Pterygiella cylindrica,"刘冰,叶建飞",114,20100714,四川省,1443,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01884408.jpg,,,,,,,,,, +圆茎翅茎草,Pterygiella cylindrica,川经西(59)字,3425,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01456077.jpg,,,,,,,,,, +圆茎翅茎草,Pterygiella cylindrica,中甸队,1228,19620818,云南省,1750,砾石草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01456009.jpg,,,,,,,,,, +杜氏翅茎草,Pterygiella duclouxii,周仕顺,1860,20031019,云南省,900,公路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108930.jpg,,,,,,,,,, +杜氏翅茎草,Pterygiella duclouxii,北京队,897010,19890911,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010055.jpg,,,,,,,,,, +杜氏翅茎草,Pterygiella duclouxii,"刘冰,叶建飞",359,20100715,四川省,2153,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01884411.jpg,,,,,,,,,, +翅茎草,Pterygiella nigrescens,"刘冰,叶建飞",555,20100916,四川省,1958,灌草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01884413.jpg,,,,,,,,,, +翅茎草,Pterygiella nigrescens,,2126,19090808,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480925.jpg,,,,,,,,,, +翅茎草,Pterygiella nigrescens,百色队,1281,19551205,广西壮族自治区,,山坡半阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01456084.jpg,,,,,,,,,, +翼萼蔓,Pterygocalyx volubilis,"王文广,黄义钧等",2378,20141025,四川省,1500,沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01905974.jpg,,,,,,,,,, +翼萼蔓,Pterygocalyx volubilis,J.sato,7636,19371002,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01441006.jpg,,,,,,,,,, +翼萼蔓,Pterygocalyx volubilis,W.P.Brooks,622,18840000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01441007.jpg,,,,,,,,,, +太白细柄茅,Ptilagrostis concinna,,528,19640719,青海省,4600~4700,近山顶草甸或岩石露头边缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082852.jpg,,,,,,,,,, +太白细柄茅,Ptilagrostis concinna,李渤生等,5933,19830727,西藏自治区,4300,高山灌丛草甸中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805502.jpg,,,,,,,,,, +双叉细柄茅,Ptilagrostis dichotoma,"陈伟烈,陈家瑞,郭柯,闫建平",8269,19840721,四川省,3180,丘状草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233192.jpg,,,,,,,,,, +双叉细柄茅,Ptilagrostis dichotoma,,668,19640813,青海省,4350,山坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082887.jpg,,,,,,,,,, +双叉细柄茅,Ptilagrostis dichotoma,中苏队,82,19600800,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078674.jpg,,,,,,,,,, +窄穗细柄茅,Ptilagrostis junatovii,"李渤生,倪志诚,程树志",7320,19830903,西藏自治区,3800,山顶 灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506560.jpg,,,,,,,,,, +窄穗细柄茅,Ptilagrostis junatovii,"汤宗孝,田效文,孙庆国",807,19820824,四川省,4500,高山灌丛草场山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615025.jpg,,,,,,,,,, +窄穗细柄茅,Ptilagrostis junatovii,岳伟,苏旭,王玉金,LiuJQ-2011-WYJ-056,20110909,青海,4693,温带草原平地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1403815.jpg,,,,,,,,,, +短花细柄茅,Ptilagrostis luquensis,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201683,20200811,西藏,4184,湿地中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1509278.jpg,,,,,,,,,, +中亚细柄茅,Ptilagrostis pelliotii,秦仁昌,88,19560704,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615186.jpg,,,,,,,,,, +中亚细柄茅,Ptilagrostis pelliotii,青甘调查队,350,19590719,青海省,,达肯大阪山北麓冲积扇冲沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615176.jpg,,,,,,,,,, +中亚细柄茅,Ptilagrostis pelliotii,何叶祺,6340,19590817,甘肃省,,岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615174.jpg,,,,,,,,,, +,Puccinellia altaica,西藏队植被组,6173,19750923,西藏自治区,4730,湖畔草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615191.jpg,,,,,,,,,, +阿尔泰碱茅,Puccinellia altaica,青藏队吴玉虎,870644,19870713,新疆维吾尔自治区,3200,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/144304.jpg,,,,,,,,,, +阿尔金山碱茅,Puccinellia arjinshanensis,"武素功,吴玉虎,费勇",3867,19880725,新疆维吾尔自治区,3230,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/134935.jpg,,,,,,,,,, +德格碱茅,Puccinellia degeensis,,7076,19740622,四川省,3600,向阳湿润河边草地,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00038196.jpg,,,,,,,,,, +德格碱茅,Puccinellia degeensis,陈桂琛 等,2003,19980731,青海省,1950,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/185362.jpg,,,,,,,,,, +展穗碱茅,Puccinellia diffusa,青甘队,397,19720724,青海省,2990,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/003847.jpg,,,,,,,,,, +碱茅,Puccinellia distans,山西队,655,19530821,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094167.jpg,,,,,,,,,, +碱茅,Puccinellia distans,Otto R.Holmberg.,,19170621,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089089.jpg,,,,,,,,,, +碱茅,Puccinellia distans,侯学煜等,126,19570715,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078243.jpg,,,,,,,,,, +,Puccinellia dolicholepis,巴丹组,213,19590600,内蒙古自治区,,moist sandy place by side of the river,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014409.jpg,,,,,,,,,, +,Puccinellia dolicholepis,A.Dogadova et al.,4104,19550621,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01677219.jpg,,,,,,,,,, +,Puccinellia hackeliana,西植新疆队,2083,19780729,新疆维吾尔自治区,2900,草地水旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437381.jpg,,,,,,,,,, +,Puccinellia hauptiana,老铁山采集队,421,20080712,辽宁省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089637.jpg,,,,,,,,,, +,Puccinellia hauptiana,N.Antonova et al.,s.n.,19830727,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01969153.jpg,,,,,,,,,, +,Puccinellia hauptiana,蒙宁队,1080,19620723,内蒙古自治区,1250,湖边缘平地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810760.jpg,,,,,,,,,, +,Puccinellia himalaica,"李渤生,郑度,张百平",11118,19870820,新疆维吾尔自治区,4980,河滩草甸中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072410.jpg,,,,,,,,,, +,Puccinellia himalaica,郎楷永,9951,19760807,西藏自治区,5100,附近河滩草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615346.jpg,,,,,,,,,, +喜马拉雅碱茅,Puccinellia himalaica,陈家辉,庄会富,刘德团,边巴扎西,YangYP-Q-0108,20080830,西藏,4267,草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403828.jpg,,,,,,,,,, +,Puccinellia humilis,青藏队植被组,12218,19760808,西藏自治区,4900,山坡沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014074.jpg,,,,,,,,,, +矮碱茅,Puccinellia humilis,黄荣福,C.G86-029,19860822,新疆维吾尔自治区,4600,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/134903.jpg,,,,,,,,,, +,Puccinellia kashmiriana,PE西藏考察队,8037,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333043.jpg,,,,,,,,,, +,Puccinellia kashmiriana,郭柯,K-23,19900616,青海省,4700,湖边老旧的湖底,平缓,,有花无果,https://image.cvh.ac.cn/files/l/PE/01469130.jpg,,,,,,,,,, +光稃碱茅,Puccinellia leiolepis,植被地理组,116,19830810,青海省,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/105867.jpg,,,,,,,,,, +光稃碱茅,Puccinellia leiolepis,秦志业,10195,19630818,西藏自治区,4500,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/15216.jpg,,,,,,,,,, +微药碱茅,Puccinellia micrandra,钟补求,8229,19580828,青海省,,浅水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014344.jpg,,,,,,,,,, +微药碱茅,Puccinellia micrandra,张珍万,556,19520918,宁夏回族自治区,,惠水渠岸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437286.jpg,,,,,,,,,, +微药碱茅,Puccinellia micrandra,林有润,74143,1974-07-,新疆省,450M,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0126467.jpg,,,,,,,,,, +,Puccinellia minuta,青藏队植被组,7570,19750806,西藏自治区,5170,湖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02013978.jpg,,,,,,,,,, +,Puccinellia minuta,"郭柯,郑度",12227,19880717,新疆维吾尔自治区,4750,洪积扇冲饰沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437290.jpg,,,,,,,,,, +多花碱茅,Puccinellia multiflora,青藏队,74-8749,19760904,西藏自治区,4250,班公湖老鼠岛河边沙地,草本,无花无果,https://image.cvh.ac.cn/files/l/PE/01432265.jpg,,,,,,,,,, +多花碱茅,Puccinellia multiflora,"武素功,大场秀章,吴玉虎,费勇",4206,19880820,新疆维吾尔自治区,4140,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/149350.jpg,,,,,,,,,, +,Puccinellia nudiflora,"郭柯,郑度",12846,19900907,新疆维吾尔自治区,3300,山间谷地 湖边草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469126.jpg,,,,,,,,,, +,Puccinellia nudiflora,青藏队植被组,13224,19760710,西藏自治区,4400,Ca质泉华上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437260.jpg,,,,,,,,,, +裸花碱茅,Puccinellia nudiflora,青甘队,1672,19590808,青海省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/003834.jpg,,,,,,,,,, +,Puccinellia pamirica,郭柯,k-125,19900713,青海省,4770,高寒草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048105.jpg,,,,,,,,,, +,Puccinellia pamirica,青藏队植被组,12350,19760826,西藏自治区,4800,湖滨,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437236.jpg,,,,,,,,,, +,Puccinellia pamirica,汤宗孝,808,19820825,四川省,4700,山坡草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615378.jpg,,,,,,,,,, +,Puccinellia roborovskyi,箫余,3247,19540800,青海省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437334.jpg,,,,,,,,,, +,Puccinellia roborovskyi,张以礼等,300,19980800,新疆维吾尔自治区,2200~3900,高原山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437333.jpg,,,,,,,,,, +,Puccinellia roborovskyi,郎楷永,9774,19760722,西藏自治区,4850,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437332.jpg,,,,,,,,,, +,Puccinellia roshevitsiana,青藏队,6485,19750726,西藏自治区,4800,边砂砾地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615392.jpg,,,,,,,,,, +,Puccinellia roshevitsiana,新疆队,855,19560800,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615391.jpg,,,,,,,,,, +,Puccinellia schischkinii,"李安仁,朱家楠",7328,19580619,新疆维吾尔自治区,300,沼泽,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437335.jpg,,,,,,,,,, +,Puccinellia schischkinii,青甘调查队,962,19590724,青海省,3050,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615397.jpg,,,,,,,,,, +,Puccinellia schischkinii,,2601-1(3350),19560803,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615395.jpg,,,,,,,,,, +,Puccinellia shuanghuensis,郎楷永,9911,19760802,西藏自治区,5050,山坡草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615403.jpg,,,,,,,,,, +双湖碱茅,Puccinellia shuanghuensis,植被地理组,542,19740729,青海省,4370,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/108979.jpg,,,,,,,,,, +,Puccinellia stapfiana,郎楷永,10112,19760901,西藏自治区,4700,沟边沼泽草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615409.jpg,,,,,,,,,, +星星草,Puccinellia tenuiflora,郎学忠,39,19560823,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081583.jpg,,,,,,,,,, +星星草,Puccinellia tenuiflora,黄河队,7037,19560619,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061050.jpg,,,,,,,,,, +星星草,Puccinellia tenuiflora,"石硕,祝东立,祝振清",SZ3958,20140812,河北省,1400,沟 水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034046.jpg,,,,,,,,,, +,Puccinellia thomsonii,青甘调查队,340,19590716,青海省,3100,湖边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615434.jpg,,,,,,,,,, +,Puccinellia thomsonii,"傅国勋,张经炜",1358,19601019,西藏自治区,4270,洞湖湖边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615410.jpg,,,,,,,,,, +,Pueraria calycina,R.C.Ching,21632,19390916,云南省,,On open hillside,,无花有果,https://image.cvh.ac.cn/files/l/PE/00327622.jpg,,,,,,,,,, +黄毛萼葛,Pueraria calycina,Delavay,3590,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00041032.jpg,,,,,,,,,, +黄毛萼葛,Pueraria calycina,溆浦林业局,桥-305,198208,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI015910.jpg,,,,,,,,,, +食用葛,Pueraria edulis,刘慎谔,16657,19460811,云南省,,大黑箐沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01379821.jpg,,,,,,,,,, +食用葛,Pueraria edulis,"Lei,C.I.",16164,19970905,广西壮族自治区,170,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/00212436.jpg,,,,,,,,,, +苦葛,Pueraria peduncularis,PE西藏队,PE6197,20170910,西藏自治区,2488~2994,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02310000.jpg,,,,,,,,,, +苦葛,Pueraria peduncularis,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",795,20021107,云南省,2430,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02111846.jpg,,,,,,,,,, +苦葛,Pueraria peduncularis,贵州队,6029,19600711,贵州省,1000,山坡凉林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01812730.jpg,,,,,,,,,, +,Pueraria wallichii,"S.K.Wu,Y.M.Shui et al.",684,19951021,云南省,1700~1900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01910807.jpg,,,,,,,,,, +,Pueraria wallichii,"李渤生,程树志",2288,19821220,西藏自治区,2100,"常绿,润叶林缘时见藤本",,无花有果,https://image.cvh.ac.cn/files/l/PE/00212902.jpg,,,,,,,,,, +金仙草,Pulicaria chrysantha,陈又生,9651,20090829,四川省,2700~3000,山谷草坡,,,https://image.cvh.ac.cn/files/l/PE/02053695.jpg,,,,,,,,,, +金仙草,Pulicaria chrysantha,,3320,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797287.jpg,,,,,,,,,, +臭蚤草,Pulicaria insignis,康藏植物考察队,10-0541,20100724,四川省,3274,山谷岩石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235994.jpg,,,,,,,,,, +臭蚤草,Pulicaria insignis,陈又生,9751,20090910,西藏自治区,4450~4508,干山坡,,,https://image.cvh.ac.cn/files/l/PE/02053724.jpg,,,,,,,,,, +臭蚤草,Pulicaria insignis,康藏植物考察队,10-1047,20100801,青海省,3665,江边岩石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052845.jpg,,,,,,,,,, +蒙古白头翁,Pulsatilla ambigua,"张新时,郭柯",天山-602,19860815,新疆维吾尔自治区,2440,山前冲积平原 草甸草原 T-080,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081295.jpg,,,,,,,,,, +蒙古白头翁,Pulsatilla ambigua,,9531099,19950715,,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956960.jpg,,,,,,,,,, +蒙古白头翁,Pulsatilla ambigua,"赵献锳,杨汝荣",27,19800626,内蒙古自治区,1250,灌丛草地草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956959.jpg,,,,,,,,,, +钟萼白头翁,Pulsatilla campanella,李渤生,11671,19880618,新疆维吾尔自治区,3000~3200,Sabira 火烧迹地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01352379.jpg,,,,,,,,,, +钟萼白头翁,Pulsatilla campanella,邱娟,冯建菊,LiuJQ0083,20080807,新疆,3856,山坡,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232692.jpg,,,,,,,,,, +白头翁,Pulsatilla chinensis,石雷 林秦文,2011022,20110415,北京市,130,阳坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112297.jpg,,,,,,,,,, +白头翁,Pulsatilla chinensis,孔冬梅,k0065,20140413,山西省,1634,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039827.jpg,,,,,,,,,, +紫蕊白头翁,Pulsatilla kostyczewii,新疆所,730023,19730616,新疆维吾尔自治区,2900,山地荒漠草原阴凹坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00428987.jpg,,,,,,,,,, +西南白头翁,Pulsatilla millefolium,陈伟烈等,6615,19840620,四川省,2750,河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01377630.jpg,,,,,,,,,, +西南白头翁,Pulsatilla millefolium,蓝顺彬,398,19850511,云南省,2000,向阳山坡石岩缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/00428993.jpg,,,,,,,,,, +,Pycnoplinthus uniflora,新疆综合考察队,467,19590602,新疆维吾尔自治区,5100,高山北坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995830.jpg,,,,,,,,,, +,Pycnoplinthus uniflora,农大,50,19760710,西藏自治区,5000,旱生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995423.jpg,,,,,,,,,, +,Pycnoplinthus uniflora,陈世龙,张得钧,高庆波等,ChenSL0081,20080724,青海,4180,草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1236372.jpg,,,,,,,,,, +宽穗扁莎,Pycreus diaphanus,陈少卿,10973,19561115,海南省,0~160,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0647943.jpg,,,,,,,,,, +宽穗扁莎,Pycreus diaphanus,朱有昌,669,19620825,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/IFP/16311999x0002.jpg,,,,,,,,,, +球穗扁莎,Pycreus flavidus,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",488,20020824,云南省,2550,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088628.jpg,,,,,,,,,, +球穗扁莎,Pycreus flavidus,C.M.Wang & C.Y.Li,4880,20010505,台湾省,800,on roadside of broadleaf forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01950213.jpg,,,,,,,,,, +,Pycreus lijiangensis,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",399,20020816,云南省,2550,山坡次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102154.jpg,,,,,,,,,, +丽江扁莎,Pycreus lijiangensis,川经凉,1196,19590804,四川省,2300,草地,潮湿地,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0372700.jpg,,,,,,,,,, +红鳞扁莎,Pycreus sanguinolentus,"老铁山采集队 孙英宝 王小平,刘冰,林希震,张学伟,张敬莉",643,20081001,辽宁省,90,林缘湿润处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089801.jpg,,,,,,,,,, +红鳞扁莎,Pycreus sanguinolentus,高瑞卿,Kao1247,20100311,台湾省,,荷花,水田,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089853.jpg,,,,,,,,,, +红鳞扁莎,Pycreus sanguinolentus,,98,19620819,广西壮族自治区,1100,草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017242.jpg,,,,,,,,,, +槽果扁莎,Pycreus sulcinux,叶华谷、刘念,1592,19910426,广东省,0~100,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0648381.jpg,,,,,,,,,, +槽果扁莎,Pycreus sulcinux,符国瑗,6259,19870615,海南省,0~70,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0648379.jpg,,,,,,,,,, +槽果扁莎,Pycreus sulcinux,钟济新,121,19530826,海南省 ,0,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0648380.jpg,,,,,,,,,, +禾状扁莎,Pycreus unioloides,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1219,20021113,云南省,2480,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088730.jpg,,,,,,,,,, +禾状扁莎,Pycreus unioloides,M.RAMOS,42925,19230800,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01778445.jpg,,,,,,,,,, +云南臀果木,Pygeum henryi,中苏云南联合考察团,5312,19590227,云南省,1300,阳处疏林路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100014.jpg,,,,,,,,,, +云南臀果木,Pygeum henryi,"李中提,陈永昌",600217,19571129,广西壮族自治区,,山谷路旁疏林中散生,,无花无果,https://image.cvh.ac.cn/files/l/PE/00534885.jpg,,,,,,,,,, +大果臀果木,Pygeum macrocarpum,川经植,424,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00995607.jpg,,,,,,,,,, +大果臀果木,Pygeum macrocarpum,王启无 刘瑛,86658,19400203,云南省,1000,open slope,tree,无花无果,https://image.cvh.ac.cn/files/l/PE/00534934.jpg,,,,,,,,,, +窄叶火棘,Pyracantha angustifolia,"Li Heng,Yang Shixiong,Lei Ligong etc.",1279,20030412,云南省,2480,次生常绿阔叶林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090605.jpg,,,,,,,,,, +窄叶火棘,Pyracantha angustifolia,"李渤生,倪志诚,程树志",6913,19830827,西藏自治区,2200,常见河谷灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074501.jpg,,,,,,,,,, +细圆齿火棘,Pyracantha crenulata,川黔调查队,825,19560813,贵州省,1040~830,丘陵 山坡 阳处 灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083756.jpg,,,,,,,,,, +细圆齿火棘,Pyracantha crenulata,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",187,20130419,四川省,1396~1900,山坡沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994160.jpg,,,,,,,,,, +细圆齿火棘,Pyracantha crenulata,北京队,894096,19890522,广西壮族自治区,1300,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983061.jpg,,,,,,,,,, +火棘,Pyracantha fortuneana,"洪德元,潘开玉,徐超,刘彬彬",3443,20170903,陕西省,579,roadsides,,无花有果,https://image.cvh.ac.cn/files/l/PE/02108726.jpg,,,,,,,,,, +火棘,Pyracantha fortuneana,何明友 谭仲明,117096,19830510,四川省,1000,林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02095782.jpg,,,,,,,,,, +火棘,Pyracantha fortuneana,刘彬彬,2517,20151024,贵州省,1282,灌草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02071222.jpg,,,,,,,,,, +,Pyrenaria khasiana,"李渤生,程树志",3610,19830518,西藏自治区,1800,村边 次生林中 常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00888176.jpg,,,,,,,,,, +光滑匹菊,Pyrethrum arrasanicum,陈又生,13-2296,20130906,新疆维吾尔自治区,3762,砾石草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919854.jpg,,,,,,,,,, +光滑匹菊,Pyrethrum arrasanicum,,770113,19770626,,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01775448.jpg,,,,,,,,,, +鹿蹄草,Pyrola calliantha,PE西藏队,PE6639,20170914,西藏自治区,3934,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330508.jpg,,,,,,,,,, +鹿蹄草,Pyrola calliantha,巴山采集队,5853,20120701,四川省,1354~1500,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059251.jpg,,,,,,,,,, +鹿蹄草,Pyrola calliantha,"陈又生,袁慊,徐连升等",140775,20140723,内蒙古自治区,1800,白桦林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036281.jpg,,,,,,,,,, +普通鹿蹄草,Pyrola decorata,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1096,20021110,云南省,2570,林(中)下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02101592.jpg,,,,,,,,,, +普通鹿蹄草,Pyrola decorata,"罗建,汪书丽",LuoJian-XZ-0910,20090613,西藏自治区,2543,林缘山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913134.jpg,,,,,,,,,, +普通鹿蹄草,Pyrola decorata,杨国祯,6010,20000407,台湾省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01913127.jpg,,,,,,,,,, +大理鹿蹄草,Pyrola forrestiana,,9438,19600618,云南省,3700,路边 ,,有花无果,https://image.cvh.ac.cn/files/l/PE/00059093.jpg,,,,,,,,,, +大理鹿蹄草,Pyrola forrestiana,T.T.Yu,9466,19370809,云南省 ,3400,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0419782.jpg,,,,,,,,,, +马尔康鹿蹄草,Pyrola markonica,朱官政,78128,19580719,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00053217.jpg,,,,,,,,,, +短柱鹿蹄草,Pyrola minor,秦仁昌,1053,19560804,新疆维吾尔自治区,2640,潮湿地石缝中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115101.jpg,,,,,,,,,, +短柱鹿蹄草,Pyrola minor,"李渤生,程树志",601,19820904,西藏自治区,3500~3600,冷杉林下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077777.jpg,,,,,,,,,, +短柱鹿蹄草,Pyrola minor,L.Averyanov,1086,19780810,,2500~3000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02054999.jpg,,,,,,,,,, +单叶鹿蹄草,Pyrola monophylla,郭本兆,2099,1952-8 3,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0104156.jpg,,,,,,,,,, +珍珠鹿蹄草,Pyrola sororia,"杨亲二,袁琼",Yangqe2286,20080818,云南省,2800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02107206.jpg,,,,,,,,,, +珍珠鹿蹄草,Pyrola sororia,George Forrest,29986,,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01481461.jpg,,,,,,,,,, +四川鹿蹄草,Pyrola szechuanica,植被组,13558,19760726,四川省,2200,混杂林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00060231.jpg,,,,,,,,,, +檀梨,Pyrularia edulis,T.T.Yu,17062,19380728,云南省,2850,in ravine among forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/02113950.jpg,,,,,,,,,, +檀梨,Pyrularia edulis,胡启明,4489,19580821,江西省,,阔叶林中沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02113949.jpg,,,,,,,,,, +檀梨,Pyrularia edulis,川黔队,735,19560627,重庆市,760,潮湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02113947.jpg,,,,,,,,,, +,Pyrus betulifolia,"刘彬彬,刘广宁",4005,20180728,北京市,,On the slopes of broadleaved deciduous forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/02234049.jpg,,,,,,,,,, +,Pyrus betulifolia,孔冬梅,k0381,20140717,山西省,450,阔叶林坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039683.jpg,,,,,,,,,, +,Pyrus betulifolia,王名金,3371,19550416,福建省,1200,山坡阳处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01863316.jpg,,,,,,,,,, +白梨,Pyrus bretschneideri,Bin-Bin liu,3977,20180720,北京市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02234013.jpg,,,,,,,,,, +白梨,Pyrus bretschneideri,Debreczy-Racz-Biro,5512,19830718,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921890.jpg,,,,,,,,,, +白梨,Pyrus bretschneideri,"张鹏,齐隆甫",873,19510415,甘肃省,1550,平原沙壤,,无花无果,https://image.cvh.ac.cn/files/l/PE/01860895.jpg,,,,,,,,,, +川梨,Pyrus pashia,PE西藏考察队,7803,20180625,西藏自治区,2627,林缘灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332134.jpg,,,,,,,,,, +川梨,Pyrus pashia,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B",151,20020812,云南省,2400,次生林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100874.jpg,,,,,,,,,, +滇梨,Pyrus pseudopashia,宋克先,90526,20090716,云南省,2560,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01928084.jpg,,,,,,,,,, +滇梨,Pyrus pseudopashia,王功范,1-0270,20030529,贵州省,700,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01274928.jpg,,,,,,,,,, +沙梨,Pyrus pyrifolia,北京队,890448,19890427,广西壮族自治区,600,山脊,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983089.jpg,,,,,,,,,, +沙梨,Pyrus pyrifolia,,1630,19841018,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902950.jpg,,,,,,,,,, +沙梨,Pyrus pyrifolia,"张寿洲,李良千等",90426,20090712,云南省,1910,村旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902139.jpg,,,,,,,,,, +秋子梨,Pyrus ussuriensis,刘彬彬,3974,20180720,北京市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02234055.jpg,,,,,,,,,, +秋子梨,Pyrus ussuriensis,"熊豫宁,刘彬彬",201812,20180716,辽宁省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02234050.jpg,,,,,,,,,, +木梨,Pyrus xerophila,任再金,1-681,19820617,西藏自治区,1500,村内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01833985.jpg,,,,,,,,,, +木梨,Pyrus xerophila,孙学刚等,2832,20020515,甘肃省,2100~2150,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01821293.jpg,,,,,,,,,, +,Quercus acrodonta,北京植物所横断山队,655,19810620,云南省,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01862087.jpg,,,,,,,,,, +,Quercus acrodonta,青藏队,7710,19820628,西藏自治区,1800,怒江边灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01833528.jpg,,,,,,,,,, +,Quercus aliena var. acutiserrata,华南队,731,19890517,广西壮族自治区,800,山地山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984539.jpg,,,,,,,,,, +锐齿槲栎,Quercus aliena var. acutiserrata,刀志灵,DZL4225,20151105,云南省,1755,林中,,,https://image.cvh.ac.cn/files/l/KUN/1272282.jpg,,,,,,,,,, +,Quercus aliena var. acutiserrata,"曹伟,于兴华,金永焕,刘巍,白肖杰",CaoW4817,20130926,辽宁省,393,落叶松人工林,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1371630.jpg,,,,,,,,,, +大槲树,Quercus aliena var. aliena,金义兴,863,19870706,湖北省,1750,,,有花有果,https://image.cvh.ac.cn/files/l/HIB/0144199.jpg,,,,,,,,,, +槲栎(原变种),Quercus aliena var. aliena,灌阳县普查队,450327150803013LY,20150803,广西壮族自治区,,针阔叶混交林、林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0173249.jpg,,,,,,,,,, +川滇高山栎,Quercus aquifolioides,"王金亭,武田义明",249,19860428,西藏自治区,2250,山麓杂林林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077891.jpg,,,,,,,,,, +川滇高山栎,Quercus aquifolioides,横断山队植被组,4148,19830614,四川省,3300,山坡高山栎林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043855.jpg,,,,,,,,,, +川滇高山栎,Quercus aquifolioides,D.E.Boufford et al.,42060,20100719,云南省,2725~2750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900970.jpg,,,,,,,,,, +,Quercus baronii,孔冬梅,k0335,20140716,山西省,664,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043924.jpg,,,,,,,,,, +,Quercus baronii,黄河调查队,256,19570516,,1100~1500,山坡山谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851821.jpg,,,,,,,,,, +铁橡栎,Quercus cocciferoides,林秦文,2013-039,20130527,云南省,1600~1750,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039793.jpg,,,,,,,,,, +铁橡栎,Quercus cocciferoides,攀枝花苏铁考察队,94,20100712,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01868594.jpg,,,,,,,,,, +,Quercus dolicholepis,孔冬梅,k0316,20140716,山西省,641,山坡 路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043951.jpg,,,,,,,,,, +,Quercus dolicholepis,甘启良,1928,20070408,湖北省,700,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02005687.jpg,,,,,,,,,, +,Quercus dolicholepis,Cribb et al.,ASBK490,19970510,广西壮族自治区,700,Shrubby vegetation on the top oe limestone hill,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984540.jpg,,,,,,,,,, +巴东栎,Quercus engleriana,川黔队,1720,19561012,贵州省,1600,山坡 疏密林中 阴,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083120.jpg,,,,,,,,,, +巴东栎,Quercus engleriana,陈照宙,53891,19631227,广西壮族自治区,1400,山地山顶疏林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984542.jpg,,,,,,,,,, +巴东栎,Quercus engleriana,王从荣,1496,19930806,湖北省,1200,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01862180.jpg,,,,,,,,,, +白栎,Quercus fabri,川黔队,63,19560421,重庆市,,山地 山坡 阳处 疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083577.jpg,,,,,,,,,, +白栎,Quercus fabri,川黔队,843,19560813,贵州省,,丘陵 山坡 阳处 疏密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083568.jpg,,,,,,,,,, +白栎,Quercus fabri,广西队,3495,19530909,广西壮族自治区,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984545.jpg,,,,,,,,,, +锥连栎,Quercus franchetii,攀枝花苏铁考察队,271,20100711,四川省,2217,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01869949.jpg,,,,,,,,,, +锥连栎,Quercus franchetii,"税玉民,黄素华,陈文红",40510,20031121,云南省,1770,石灰岩山地,灌丛及密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01869948.jpg,,,,,,,,,, +大叶栎,Quercus griffithii,北京队,890438,19890427,广西壮族自治区,900,山脊,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984558.jpg,,,,,,,,,, +大叶栎,Quercus griffithii,,s.n.,19581223,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01862056.jpg,,,,,,,,,, +大叶栎,Quercus griffithii,金佛山考察队,465,19860518,重庆市,800,杂木林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01832504.jpg,,,,,,,,,, +帽斗山栎,Quercus guajavifolia,四川植被队,30054,1982-8 2,云南省,3400,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0014967.jpg,,,,,,,,,, +帽斗山栎,Quercus guajavifolia,四川植被组,29915,Oct-82,四川省,3450,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0014964.jpg,,,,,,,,,, +,Quercus lanata,陈少卿,13453,19570804,广西壮族自治区,450~600,山顶、疏林、石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00334304.jpg,,,,,,,,,, +,Quercus lanata,王汉臣,1741,Feb-42,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0066229.jpg,,,,,,,,,, +通麦栎,Quercus lanata,Pohunin Sykes & Willams,736,1952-06-,,7000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0066226.jpg,,,,,,,,,, +,Quercus lodicosa,"李渤生,程树志",5142,19830617,西藏自治区,1850,常绿阔叶林中优势树种,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491172.jpg,,,,,,,,,, +西藏栎,Quercus lodicosa,青藏队植被组,(74)1003,,西藏,900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0066242.jpg,,,,,,,,,, +,Quercus malacotricha,毕节队,37,19590706,贵州省,2300,山坡、阴处、灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00334867.jpg,,,,,,,,,, +,Quercus malacotricha,T.N.Liou & C.Wang,459,19390819,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00334862.jpg,,,,,,,,,, +蒙古栎,Quercus mongolica,"赤峰采集队(孙英宝,刘冰,郭洪艳等)",2-Z69,20080803,内蒙古自治区,,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043921.jpg,,,,,,,,,, +蒙古栎,Quercus mongolica,"王忠涛,曲上,徐连升",140495,20140618,河北省,1595,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015372.jpg,,,,,,,,,, +蒙古栎,Quercus mongolica,李安仁,75,19970900,北京市,50,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01859607.jpg,,,,,,,,,, +矮山栎,Quercus monimotricha,赵魁义,765,19810819,云南省,3300,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02098076.jpg,,,,,,,,,, +矮山栎,Quercus monimotricha,"川西队,关克俭,王文采等",1223,19630801,四川省,3100,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092106.jpg,,,,,,,,,, +,Quercus rehderiana,北京所横断山队,1072,19810624,云南省,1550~2800,干旱山坡时见与云南松等为优势,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043771.jpg,,,,,,,,,, +,Quercus rehderiana,青藏队,12672,19830806,四川省,3100,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01862176.jpg,,,,,,,,,, +,Quercus semecarpifolia,"王金亭,武田义明",57,19860325,西藏自治区,3400,阴坡,陡坡,优势种,,无花无果,https://image.cvh.ac.cn/files/l/PE/02108411.jpg,,,,,,,,,, +,Quercus semecarpifolia,任再金,13781,19930524,四川省,3160,向阳山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01815175.jpg,,,,,,,,,, +,Quercus semecarpifolia,B.Bartholomew et al.,1693,19840516,,2650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01783724.jpg,,,,,,,,,, +灰背栎,Quercus senescens,PE西藏队,PE5722,20170903,西藏自治区,1683~2900,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02303522.jpg,,,,,,,,,, +灰背栎,Quercus senescens,"H.Li,S.X.Yang,R.Li etc.",655,20021106,云南省,2530,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090047.jpg,,,,,,,,,, +灰背栎,Quercus senescens,接壤分队,1085,19650930,四川省,2700,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01815038.jpg,,,,,,,,,, +刺叶高山栎,Quercus spinosa,黄河队,3664,19560514,甘肃省,,疏林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082588.jpg,,,,,,,,,, +刺叶高山栎,Quercus spinosa,Ming-Jer Jung,4613,20091026,台湾省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873470.jpg,,,,,,,,,, +刺叶高山栎,Quercus spinosa,巴山采集队,5571,20110712,四川省,2200,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872643.jpg,,,,,,,,,, +栓皮栎,Quercus variabilis,云台山采集队,907,20090615,河南省,,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02026762.jpg,,,,,,,,,, +栓皮栎,Quercus variabilis,红水河植物考察队,1601,19890522,广西壮族自治区,200,山坡栎林干燥,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984576.jpg,,,,,,,,,, +栓皮栎,Quercus variabilis,,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984573.jpg,,,,,,,,,, +,Quercus yunnanensis,红水河植物考察队,1343,19890517,广西壮族自治区,850,松栎林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984579.jpg,,,,,,,,,, +,Quercus yunnanensis,红水河植物考察队,2109,19890613,云南省,2200,松栎林中阳坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984577.jpg,,,,,,,,,, +,Quercus yunnanensis,"韩裕丰,邓坤梅,黄晓鹤",830188,19830724,四川省,2200,灌木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00495134.jpg,,,,,,,,,, +滇菜豆树,Radermachera yunnanensis,,s.n.,19821106,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01506306.jpg,,,,,,,,,, +滇菜豆树,Radermachera yunnanensis,K.M.Feng,12405,19471013,云南省,1280,in mixed forests,,无花有果,https://image.cvh.ac.cn/files/l/PE/01155692.jpg,,,,,,,,,, +滇菜豆树,Radermachera yunnanensis,H.T.Tsai,61454,19340807,云南省 ,0~1400,,tree,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0563512.jpg,,,,,,,,,, +巴郎山毛莨,Ranunculus balangshanicus,四川大学生物系队,79114,19790718,四川省,4300,石质山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934864.jpg,,,,,,,,,, +鸟足毛茛,Ranunculus brotherusii,"川西队,关克俭,王文采等",647,19630718,四川省,3500,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087878.jpg,,,,,,,,,, +鸟足毛茛,Ranunculus brotherusii,段长虹,Dch0252,20140710,山西省,2847,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035113.jpg,,,,,,,,,, +茴茴蒜,Ranunculus chinensis,,126,19790721,辽宁省,,山地(样方2),,有花有果,https://image.cvh.ac.cn/files/l/PE/02094393.jpg,,,,,,,,,, +茴茴蒜,Ranunculus chinensis,236任务组,14,19720701,四川省,2600,山坡沟底,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086738.jpg,,,,,,,,,, +茴茴蒜,Ranunculus chinensis,黄河队,5051,19560626,甘肃省,,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078562.jpg,,,,,,,,,, +,Ranunculus dielsianus var. leiogynus,K.M.Liou,6493,19360805,青海省,2120,bois de picea lieux ombrages humides,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429546.jpg,,,,,,,,,, +铺散毛茛,Ranunculus diffusus,PE西藏考察队,7097,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333194.jpg,,,,,,,,,, +铺散毛茛,Ranunculus diffusus,赵常明,EX0987,20070915,湖北省,650,沟边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800608.jpg,,,,,,,,,, +铺散毛茛,Ranunculus diffusus,刘正宇,181787,20071109,重庆市,550,溪边荒地草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800602.jpg,,,,,,,,,, +西南毛茛,Ranunculus ficariifolius,"董洪进,王泽欢,尹志坚",WM-0225,20160427,云南省,1500~1600,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090732.jpg,,,,,,,,,, +西南毛茛,Ranunculus ficariifolius,"朱大海,冯正波,张超,王飞",20070724,20070606,四川省,2300,林下草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980418.jpg,,,,,,,,,, +叉裂毛茛,Ranunculus furcatifidus,J.I.Jeon et al.,SI1332,20100810,四川省,3648,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01900721.jpg,,,,,,,,,, +叉裂毛茛,Ranunculus furcatifidus,青藏队植被组,3953,19750615,西藏自治区,4020,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429677.jpg,,,,,,,,,, +冷地毛茛,Ranunculus gelidus,关克俭,4061,19570901,新疆维吾尔自治区,,山坡岩石边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429681.jpg,,,,,,,,,, +冷地毛茛,Ranunculus gelidus,史国宝,s.n.,Aug-80,青海省,3200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0089269.jpg,,,,,,,,,, +冷地毛茛,Ranunculus gelidus,张珍万,2419,1963/7/19,青海,3810,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0216403.jpg,,,,,,,,,, +甘藏毛茛,Ranunculus glabricaulis,青藏队植被组,8643,19760627,西藏自治区,5000,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429685.jpg,,,,,,,,,, +甘藏毛茛,Ranunculus glabricaulis,E.Licent,4628a,19180816,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429683.jpg,,,,,,,,,, +甘藏毛茛,Ranunculus glabricaulis,何廷农,351,19650819,青海省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/12282.jpg,,,,,,,,,, +宿萼毛茛,Ranunculus glacialiformis,青藏队横断山队,3886,19810806,四川省,4700~4800,多石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01108516.jpg,,,,,,,,,, +宿萼毛茛,Ranunculus glacialiformis,杨光辉,84-752,19840729,云南省,4800,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429686.jpg,,,,,,,,,, +砾地毛茛,Ranunculus glareosus,E.D.Boufford et al.,34116,20050803,四川省,5020,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01505807.jpg,,,,,,,,,, +砾地毛茛,Ranunculus glareosus,E.D.Boufford et al.,29469,20000716,西藏自治区,5100~5300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01505808.jpg,,,,,,,,,, +,Ranunculus hirtellus var. orientalis,横断山队植被组,4544,19830709,云南省,4300,高山 流石坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01108513.jpg,,,,,,,,,, +,Ranunculus hirtellus var. orientalis,"郎楷永,李良千,费勇",53,19820605,四川省,3900,山间灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01108509.jpg,,,,,,,,,, +,Ranunculus indivisus var. abaensis,"郎楷永,李良千,费勇",2102,19830629,四川省,3680,拉山高山灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429794.jpg,,,,,,,,,, +,Ranunculus indivisus var. abaensis,K.M.Liou,6249,19360726,青海省,2190,dans bois hunides,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429791.jpg,,,,,,,,,, +,Ranunculus indivisus var. abaensis,,394,19640507,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429790.jpg,,,,,,,,,, +,Ranunculus japonicus var. propinquus,红广渝,4126,20100731,四川省,1980,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059469.jpg,,,,,,,,,, +,Ranunculus japonicus var. propinquus,段长虹,dch0303,20140713,山西省,2204,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036419.jpg,,,,,,,,,, +,Ranunculus japonicus var. propinquus,"石硕,祝东立,祝振清",SZ3660,20140806,河北省,1206,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036403.jpg,,,,,,,,,, +吉隆毛茛,Ranunculus jilongensis,西藏中草药普查队,574,19720626,西藏自治区,3400,荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491534.jpg,,,,,,,,,, +吉隆毛茛,Ranunculus jilongensis,侯学良、欣玮玮、张若鹏,379,20160730,西藏,3670,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU068521.jpg,,,,,,,,,, +昆仑毛茛,Ranunculus kunlunshanicus,,84-A-143,19840623,新疆维吾尔自治区,4310,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00028181.jpg,,,,,,,,,, +昆仑毛茛,Ranunculus kunlunshanicus,?,84-A -157,1984.6.2,新疆维吾尔自治区 ,4310,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00010476.jpg,,,,,,,,,, +昆仑毛茛,Ranunculus kunlunshanicus,?,84-A -157,1984623,,4310,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20008619.jpg,,,,,,,,,, +,Ranunculus limprichtii var. flavus,Harry Smith,3867,19220719,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934867.jpg,,,,,,,,,, +,Ranunculus limprichtii var. flavus,K. A. H. Smith,3867,1922/9/19,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038478.jpg,,,,,,,,,, +浅裂毛茛,Ranunculus lobatus,青藏队植被组,12959,19760706,西藏自治区,4900,山顶准平原面砾石质,,有花无果,https://image.cvh.ac.cn/files/l/PE/00458961.jpg,,,,,,,,,, +浅裂毛茛,Ranunculus lobatus,郭先林、苟巍,2041356,20200721,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02041356.jpg,,,,,,,,,, +浅裂毛茛,Ranunculus lobatus,gorz,19333,19200500,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/091050179.jpg,,,,,,,,,, +米林毛茛,Ranunculus mainlingensis,李勃生 程树志等,5967,19830728,西藏自治区,4300,高山 灌丛草甸 湿地中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934870.jpg,,,,,,,,,, +,Ranunculus micronivalis,T.T.Yu,12687,19370807,云南省,3700,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459052.jpg,,,,,,,,,, +,Ranunculus micronivalis,H.Smith,3254,19220721,四川省,4800~5000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459050.jpg,,,,,,,,,, +窄瓣毛茛,Ranunculus micronivalis,George Forrest,12555,空,Yunnan,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0000577.jpg,,,,,,,,,, +,Ranunculus munroanus,青藏队植被组,5054,19750708,西藏自治区,4900,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074454.jpg,,,,,,,,,, +藏西毛茛,Ranunculus munroanus,张林、李星月、张晓严,1月14日,20180610,西藏,4179,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023641.jpg,,,,,,,,,, +藓丛毛莨,Ranunculus muscigenus,李勃生 程树志等/Li Bo-sheng & Cheng Shu-zhi et al.,5701,19830721,西藏自治区,3600,林内沼泽草甸中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934875.jpg,,,,,,,,,, +浮毛茛,Ranunculus natans,牙资北队,8610157,19860623,内蒙古自治区,,低温,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980575.jpg,,,,,,,,,, +浮毛茛,Ranunculus natans,,14292,19570700,新疆维吾尔自治区,1800,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980576.jpg,,,,,,,,,, +丝叶毛莨,Ranunculus nematolobus,秦仁昌,23513,19400802,云南省,,草坝水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459098.jpg,,,,,,,,,, +丝叶毛茛,Ranunculus nematolobus,张挺,刘成,郭永杰等,09CS1380,20090720,云南,3226,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1232761.jpg,,,,,,,,,, +云生毛茛,Ranunculus nephelogenes var. nephelogenes,邬文祥,10223,19990513,云南省,,高山溪边草地,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00582375.jpg,,,,,,,,,, +云生毛茛(原变种),Ranunculus nephelogenes var. nephelogenes,王莉,2013001,20130727,青海省,3628,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/00000002.jpg,,,,,,,,,, +云生毛茛,Ranunculus nephelogenes var. nephelogenes,方震东,G5,20020629,云南,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008383.jpg,,,,,,,,,, +柔毛云生毛茛,Ranunculus nephelogenes var. pubescens,应俊生等,9157,19610627,四川省,3600,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934866.jpg,,,,,,,,,, +柔毛云生毛茛,Ranunculus nephelogenes var. pubescens,青藏队,6414,19750723,西藏自治区,4550,山坡四处湿润草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00459037.jpg,,,,,,,,,, +,Ranunculus oreionannos,F.Kingdon Ward,6007,19260724,西藏自治区,5000,minute plant forming closely woven mats on earthy,,有花无果,https://image.cvh.ac.cn/files/l/PE/00028201.jpg,,,,,,,,,, +裂叶毛茛,Ranunculus pedatifidus,李振宇等,12382,20120727,新疆维吾尔自治区,2000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921088.jpg,,,,,,,,,, +裂叶毛茛,Ranunculus pedatifidus,"张宪春,李良千",3254,20040514,,1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00613384.jpg,,,,,,,,,, +爬地毛茛,Ranunculus pegaeus,D.E.Boufford et al.,42598,20100804,四川省,3665~4460,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873889.jpg,,,,,,,,,, +爬地毛茛,Ranunculus pegaeus,"李渤生,程树志,倪志诚",5662,19830720,西藏自治区,4200,高山 草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01108603.jpg,,,,,,,,,, +爬地毛茛,Ranunculus pegaeus,青藏队,2277,19810709,云南省,3750,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01108593.jpg,,,,,,,,,, +硕花大瓣毛茛,Ranunculus platypetalus,K.M.Feng,6238,19400801,云南省,4100,草坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934855.jpg,,,,,,,,,, +大瓣毛茛,Ranunculus platypetalus,T.T.Yu,2418,19340727,四川省,3500,mt.summit sandy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459398.jpg,,,,,,,,,, +多根毛茛,Ranunculus polyrhizos,J. Kozloff,,19261013,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00008472.jpg,,,,,,,,,, +川滇毛莨,Ranunculus potaninii,FLPH Tibet Expedition,12-1974,,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966754.jpg,,,,,,,,,, +川滇毛茛,Ranunculus potaninii,四川植被队,28232,1980-7 7,四川省,4120,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0025518.jpg,,,,,,,,,, +川滇毛茛,Ranunculus potaninii,方震东、李新华,722,19880625,云南省,3800,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003971.jpg,,,,,,,,,, +大金毛茛,Ranunculus pseudolobatus,李馨,77942,19580628,四川省,4750,山岭附近草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459452.jpg,,,,,,,,,, +矮毛茛,Ranunculus pseudopygmaeus,Gaoligong Shan Biodiversity Survey,26434,20050805,云南省,3640,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01659297.jpg,,,,,,,,,, +矮毛茛,Ranunculus pseudopygmaeus,郭柯,K-66,19900624,青海省,5000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468969.jpg,,,,,,,,,, +美丽毛茛,Ranunculus pulchellus,PE西藏队,PE5304,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293961.jpg,,,,,,,,,, +美丽毛茛,Ranunculus pulchellus,"川西队,关克俭,王文采等",1186,19630731,四川省,3850,山谷河边潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087944.jpg,,,,,,,,,, +美丽毛茛,Ranunculus pulchellus,段长虹,Dch0253,20140710,山西省,2847,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035115.jpg,,,,,,,,,, +棕萼毛茛,Ranunculus rufosepalus,新疆采集队,1390,1978.7.1,新疆维吾尔自治区 ,4530,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00010749.jpg,,,,,,,,,, +棕萼毛茛,Ranunculus rufosepalus,新疆采集队,1390,1978712,,4530,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20008818.jpg,,,,,,,,,, +棕萼毛茛,Ranunculus rufosepalus,Kultiassov,,1922/8/8,Prov. Syr-Darja,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00054069.jpg,,,,,,,,,, +石龙芮,Ranunculus sceleratus,,,19790700,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094392.jpg,,,,,,,,,, +石龙芮,Ranunculus sceleratus,巴山采集队,3534,20100724,四川省,534,水湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059400.jpg,,,,,,,,,, +石龙芮,Ranunculus sceleratus,Loy R. Phillippe & J. E. Ebinger,32685,20000926,,206,disturbed area along northeast side of man-made large sand pond,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044165.jpg,,,,,,,,,, +苞毛茛,Ranunculus similis,PE西藏考察队,8054,20180702,西藏自治区,5129,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02331712.jpg,,,,,,,,,, +苞毛茛,Ranunculus similis,郭柯,K-47,19900623,青海省,4800,坡脚草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01468970.jpg,,,,,,,,,, +毛果毛茛,Ranunculus tanguticus var. dasycarpus,D.E.Boufford et al.,28281,19980705,四川省,4460~4650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01578920.jpg,,,,,,,,,, +毛果毛茛,Ranunculus tanguticus var. dasycarpus,D.E.Boufford et al.,29163,19980725,云南省,4280~4600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01578530.jpg,,,,,,,,,, +高原毛茛(原变种),Ranunculus tanguticus var. tanguticus,海仙,刘景欣,HX2007-72,20070529,云南省,3378,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005442.jpg,,,,,,,,,, +四蕊毛茛,Ranunculus tetrandrus,李勃生 程树志等/Li Bo-sheng & Cheng Shu-zhi et al.,5842,19830726,西藏自治区,4500,高山冰川 河边草甸中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934857.jpg,,,,,,,,,, +毛托毛茛,Ranunculus trautvetterianus,"李渤生,郑度,张百平",10573,19870710,新疆维吾尔自治区,4300~4600,草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00466409.jpg,,,,,,,,,, +毛托毛茛,Ranunculus trautvetterianus,杨慧钊,201906122,20190715,新疆,4527.55,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1525474.jpg,,,,,,,,,, +棱喙毛茛,Ranunculus trigonus,"杨亲二,袁琼",Yangqe2028,20080728,云南省,3100,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032596.jpg,,,,,,,,,, +棱喙毛茛,Ranunculus trigonus,青藏队,13887,19830911,四川省,4000~4200,高山 栎林缘 沙土地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01108293.jpg,,,,,,,,,, +云南毛茛,Ranunculus yunnanensis,"罗艳,陈又生",512,20020828,四川省,3600,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980415.jpg,,,,,,,,,, +云南毛茛,Ranunculus yunnanensis,云南考察队,YN-ET1346,20090715,云南省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980414.jpg,,,,,,,,,, +中甸毛茛,Ranunculus zhungdianensis,T.T.Yu,12161,19370715,云南省,3600,草坡,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00028209.jpg,,,,,,,,,, +,Ranunculus zhungdianensis,T. T. Yu,12161,1937/7/15,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038482.jpg,,,,,,,,,, +,Raphanus raphanistroides,C.W.Wang,62706,19350400,云南省,,stream side on mt.,,有花有果,https://image.cvh.ac.cn/files/l/PE/01858683.jpg,,,,,,,,,, +,Raphanus raphanistroides,俞德浚,145,,云南省 ,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0499764.jpg,,,,,,,,,, +五柱红砂,Reaumuria kaschgarica,"孙世洲,孔令韶",82019,19820805,青海省,3540,山脚坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838467.jpg,,,,,,,,,, +五柱红砂,Reaumuria kaschgarica,新疆综合考察队,533,19590605,新疆维吾尔自治区,,南坡石山,,无花无果,https://image.cvh.ac.cn/files/l/PE/01599145.jpg,,,,,,,,,, +,Reaumuria soongarica,新淮,345,19590619,新疆维吾尔自治区,,沙丘间平地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224008.jpg,,,,,,,,,, +,Reaumuria soongarica,中苏队,94,19601014,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078400.jpg,,,,,,,,,, +梭罗树,Reevesia pubescens,林秦文,2013-275,20130731,云南省,1750~2100,峡谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038154.jpg,,,,,,,,,, +梭罗树,Reevesia pubescens,广西调查队,439,19550620,广西壮族自治区,250,山地山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000017.jpg,,,,,,,,,, +贡山木瓜红,Rehderodendron gongshanense,青藏队,9227,19820811,云南省,1500,山坡常绿阔叶林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00027882.jpg,,,,,,,,,, +吉祥草,Reineckea carnea,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",888,20021107,云南省,2430,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02088786.jpg,,,,,,,,,, +吉祥草,Reineckea carnea,236 四川任务组,741,19720812,四川省,2400,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02085405.jpg,,,,,,,,,, +,Reinwardtia indica,张宪春,8155,20170204,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892239.jpg,,,,,,,,,, +,Reinwardtia indica,田景全,19,19600412,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01788480.jpg,,,,,,,,,, +早花岩芋,Remusatia hookeriana,"程树志,李渤生",1454,19821010,西藏自治区,2350,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244611.jpg,,,,,,,,,, +早花岩芋,Remusatia hookeriana,C.W.Wang,82458,19391014,云南省,2200,under forest on rock,,有花有果,https://image.cvh.ac.cn/files/l/PE/00032654.jpg,,,,,,,,,, +早花岩芋,Remusatia hookeriana,郭永杰,唐培洵,金永明,张娅婕,13CS7744,20130822,云南,1283,岩石上,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1392880.jpg,,,,,,,,,, +,Remusatia pumila,青藏队,6839,19750715,西藏自治区,2100,河谷杂木林下湿润处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109509.jpg,,,,,,,,,, +,Remusatia pumila,殷建涛,260,20030609,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/106355.jpg,,,,,,,,,, +曲苞芋,Remusatia pumila,刀志灵;杨静;郭世伟;张品;杨佳俊;陶丽丹;杨丰懋;陈娅玲,KIBDZL186B01,20190707,云南,1321,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1560135.jpg,,,,,,,,,, +岩芋,Remusatia vivipara,"Jin Xh,Wang LS Wang Q et al.",ST0510,20130718,云南省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977220.jpg,,,,,,,,,, +岩芋,Remusatia vivipara,H.F.Sun,751,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01722535.jpg,,,,,,,,,, +岩芋,Remusatia vivipara,青藏队植被组,3756,19750607,西藏自治区,2400,栲林中阴坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01539501.jpg,,,,,,,,,, +,Reynoutria japonica,梁同军,8,20150615,江西省,1500,生于山谷沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042762.jpg,,,,,,,,,, +,Reynoutria japonica,龙茹等,90810012,20090810,湖北省,1100~1150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02003791.jpg,,,,,,,,,, +,Reynoutria japonica,J.Zelazny,s.n.,20080926,,,bushes near ponds,,有花无果,https://image.cvh.ac.cn/files/l/PE/02003438.jpg,,,,,,,,,, +长冠苣苔,Rhabdothamnopsis sinensis,红水河植物考察队,1979,19890603,云南省,2000,石灰岩稀疏灌丛草坡,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011323.jpg,,,,,,,,,, +长冠苣苔,Rhabdothamnopsis sinensis,,12274,19760620,四川省,1850,路旁岩上草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670280.jpg,,,,,,,,,, +川滇猫乳,Rhamnella forrestii,红水河植物考察队,2495,19890623,云南省,2200,石灰岩 灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999495.jpg,,,,,,,,,, +川滇猫乳,Rhamnella forrestii,康藏植物考察队,10-2368,20100819,西藏自治区,2926,山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967731.jpg,,,,,,,,,, +川滇猫乳,Rhamnella forrestii,彭基泰,2090,19830606,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01637265.jpg,,,,,,,,,, +西藏猫乳,Rhamnella gilgitica,"于胜祥,候元同等",5185,20110810,西藏自治区,3046,沿途路旁,山坡沙质,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003557.jpg,,,,,,,,,, +西藏猫乳,Rhamnella gilgitica,青藏队横断山队,4256,19810824,四川省,3300,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01128589.jpg,,,,,,,,,, +西藏猫乳,Rhamnella gilgitica,青藏队,2534,19810709,云南省,2900,山坡 灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01128587.jpg,,,,,,,,,, +毛背猫乳,Rhamnella julianae,,57286,,云南省 ,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0418027.jpg,,,,,,,,,, +毛背猫乳,Rhamnella julianae,邱炳云,55218,19570924,云南省,2400,石岩缝隙,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0418026.jpg,,,,,,,,,, +毛背猫乳,Rhamnella julianae,邓世纬,90400,19360530,贵州省,0,疏林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0418028.jpg,,,,,,,,,, +多脉猫乳,Rhamnella martinii,巴山采集队,2915,20100721,四川省,912,灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059682.jpg,,,,,,,,,, +多脉猫乳,Rhamnella martinii,红水河植物考察队,1767,19890527,云南省,1300,石灰岩 杂木下阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999493.jpg,,,,,,,,,, +多脉猫乳,Rhamnella martinii,易思荣等,219,20050523,重庆市,1060,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01637565.jpg,,,,,,,,,, +卵叶猫乳,Rhamnella wilsonii,于胜祥等,5185,20110810,西藏自治区,3046,沿途路旁,山坡沙质,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983714.jpg,,,,,,,,,, +卵叶猫乳,Rhamnella wilsonii,陈伟烈等,7612,19840713,四川省,2800,阳坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01637390.jpg,,,,,,,,,, +卵叶猫乳,Rhamnella wilsonii,李馨,75349,19570718,重庆市,2160,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00093213.jpg,,,,,,,,,, +,Rhamnus dumetorum var. dumetorum,红水河植物考察队,1645,19890523,广西壮族自治区,1050,石灰岩 灌丛疏林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999379.jpg,,,,,,,,,, +,Rhamnus dumetorum var. dumetorum,红水河植物考察队,1716,19890529,云南省,1300,石灰岩杂林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999378.jpg,,,,,,,,,, +,Rhamnus dumetorum var. dumetorum,武陵山考察队,601,19880606,贵州省,700,沿河 两岸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01561212.jpg,,,,,,,,,, +,Rhamnus erythroxylum,K.T.Fu,3047,19390805,陕西,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00602496.jpg,,,,,,,,,, +柳叶鼠李,Rhamnus erythroxylum,何毅,ZWL2014-7,2014/7/9,陕西省,,,,,https://image.cvh.ac.cn/files/l/BNU/001791.jpg,,,,,,,,,, +柳叶鼠李,Rhamnus erythroxylum,刘立品,47,19870510,甘肃,,山坡,灌木,无花无果,https://image.cvh.ac.cn/files/l/QYTC/QYTC0001503.jpg,,,,,,,,,, +淡黄鼠李,Rhamnus flavescens,"于胜祥,候元同等",6142,20110829,西藏自治区,,沿途路旁山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003536.jpg,,,,,,,,,, +淡黄鼠李,Rhamnus flavescens,红水河植物考察队,2179,19890616,云南省,2200,林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999375.jpg,,,,,,,,,, +淡黄鼠李,Rhamnus flavescens,"D.E.Boufford,B.Bartholomew,S.L.Kelley,etc.",35485,20060730,四川省,2400~2430,"steep,dry,rocky slope with large boulders and numerous outcrops,spinescent shrub community,boulders strewn slopes",,无花有果,https://image.cvh.ac.cn/files/l/PE/01983287.jpg,,,,,,,,,, +川滇鼠李,Rhamnus gilgiana,"于胜祥,候元同等",4774,20110801,四川省,,沿途,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003552.jpg,,,,,,,,,, +川滇鼠李,Rhamnus gilgiana,红水河植物考察队,282,19890422,广西壮族自治区,1200,石灰岩 灌丛山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999372.jpg,,,,,,,,,, +川滇鼠李,Rhamnus gilgiana,藏东南考察队,SET-ET 25,20090812,云南省,2006,Jinsha River dry-hot valley,,无花有果,https://image.cvh.ac.cn/files/l/PE/01853848.jpg,,,,,,,,,, +,Rhamnus hemsleyana var. hemsleyana,北京队,896362,19890908,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999365.jpg,,,,,,,,,, +毛叶鼠李,Rhamnus henryi,"X.H.Jin,Y.S.Chen,H.Q.Li etc.",DLJ-ET2347,20080709,云南省,1650,evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033982.jpg,,,,,,,,,, +毛叶鼠李,Rhamnus henryi,李渤生等,3698,19830521,西藏自治区,1700,常绿阔叶林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01637541.jpg,,,,,,,,,, +毛叶鼠李,Rhamnus henryi,"赵清盛,何明友",121698,19830826,四川省,1250,林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01637471.jpg,,,,,,,,,, +异叶鼠李,Rhamnus heterophylla,刘正宇,180078,20070909,重庆市,400,溪边杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01789916.jpg,,,,,,,,,, +异叶鼠李,Rhamnus heterophylla,赵常明,EX1141,20040918,湖北省,320,庙旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01789915.jpg,,,,,,,,,, +异叶鼠李,Rhamnus heterophylla,肖简文,5859,20030918,贵州省,780,山坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01650153.jpg,,,,,,,,,, +薄叶鼠李,Rhamnus leptophylla,"刘金鉴,田景全",256,19631015,四川省,600,山谷路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092628.jpg,,,,,,,,,, +薄叶鼠李,Rhamnus leptophylla,D.E.Boufford C.Y.Xi T.S.Ying C.J.Zhang & X.C.Zhang,26452,19940603,河南省,650,mostly thickets and secondary or disturbed vegetation,,无花有果,https://image.cvh.ac.cn/files/l/PE/01893794.jpg,,,,,,,,,, +薄叶鼠李,Rhamnus leptophylla,"张兵,向新",90425018,20090425,湖南省,1379,林下沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878145.jpg,,,,,,,,,, +黑桦树,Rhamnus maximovicziana,阳文静,80611002,20080611,内蒙古自治区,,沟谷山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853824.jpg,,,,,,,,,, +黑桦树,Rhamnus maximovicziana,孙学刚等,6471,20060809,甘肃省,1989,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01832349.jpg,,,,,,,,,, +黑桦树,Rhamnus maximovicziana,,2-073,19840315,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01650147.jpg,,,,,,,,,, +矮小鼠李,Rhamnus minuta,康藏植物考察队,25,20111008,西藏自治区,3994,山谷干土坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967732.jpg,,,,,,,,,, +矮小鼠李,Rhamnus minuta,王忠涛等,278,20070624,新疆维吾尔自治区,950,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01878205.jpg,,,,,,,,,, +矮小鼠李,Rhamnus minuta,T.N. Liou ,5510,19321015,,475,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00142545.jpg,,,,,,,,,, +尼泊尔鼠李,Rhamnus napalensis,"陈玉峰,于胜祥",8172,20100825,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003549.jpg,,,,,,,,,, +尼泊尔鼠李,Rhamnus napalensis,云南考察队金效华等,YN-ET 870,20090706,云南省,1400,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878154.jpg,,,,,,,,,, +尼泊尔鼠李,Rhamnus napalensis,赣南采集队,967,20071101,江西省,240,路边林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01853829.jpg,,,,,,,,,, +黑背鼠李,Rhamnus nigricans,中国科学院西南综考队川滇黔接壤分队,255,19650621,云南省,2000,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853830.jpg,,,,,,,,,, +黑背鼠李,Rhamnus nigricans,T.T.Yu,16410,19380622,云南省 ,1600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0403719.jpg,,,,,,,,,, +,Rhamnus parvifolia,石硕,SZ3533,20140713,河北省,940,草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02031834.jpg,,,,,,,,,, +,Rhamnus parvifolia,昌平队,71,20000811,北京市,400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026367.jpg,,,,,,,,,, +,Rhamnus parvifolia,云台山采集队,1255,20090800,河南省,500~700,路边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015789.jpg,,,,,,,,,, +蔓生鼠李,Rhamnus procumbens,青藏队,6305,19750712,西藏自治区,2400,山坡陡壁隙,,无花有果,https://image.cvh.ac.cn/files/l/PE/00143031.jpg,,,,,,,,,, +蔓生鼠李,Rhamnus procumbens,U.Singh,7,19280000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0403748.jpg,,,,,,,,,, +平卧鼠李,Rhamnus prostrata,"李渤生,李辉,阳艺",13818,19900917,西藏自治区,4000,干旱 山坡 东向坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01364783.jpg,,,,,,,,,, +平卧鼠李,Rhamnus prostrata,青藏队 吴玉虎,870546,19870709,新疆维吾尔自治区,3600,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/144381.jpg,,,,,,,,,, +平卧鼠李,Rhamnus prostrata,魏来、何毅,BNUXZ2016181,20160718,西藏,4200,干旱山坡,,,https://image.cvh.ac.cn/files/l/BNU/0028060.jpg,,,,,,,,,, +小冻绿树,Rhamnus rosthornii,巴山采集队,2927,20100721,四川省,912,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066110.jpg,,,,,,,,,, +小冻绿树,Rhamnus rosthornii,"张志耘,谢磊,张强",2015-119,20150503,广西壮族自治区,360,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064877.jpg,,,,,,,,,, +多脉鼠李,Rhamnus sargentiana,巴山采集队,5464,20110704,四川省,1200,阴湿干河沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873124.jpg,,,,,,,,,, +多脉鼠李,Rhamnus sargentiana,巴山采集队,1954,20080720,重庆市,1950,山谷溪边林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01819707.jpg,,,,,,,,,, +甘青鼠李,Rhamnus tangutica,"张树仁,陈淑荣,朗校安等",2089,20140619,四川省,1645~1700,山坡 密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021906.jpg,,,,,,,,,, +甘青鼠李,Rhamnus tangutica,唐宇丹等,Px 071,20061010,西藏自治区,3132,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01853792.jpg,,,,,,,,,, +甘青鼠李,Rhamnus tangutica,孙学刚等,6243,20060804,甘肃省,2230,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01832340.jpg,,,,,,,,,, +高山冻绿,Rhamnus utilis var. szechuanensis,孙学刚等,20010490,20010821,甘肃省,2500,沟谷灌丛水边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802041.jpg,,,,,,,,,, +高山冻绿,Rhamnus utilis var. szechuanensis,李馨,73983,19570814,四川省,2750,,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/01367905.jpg,,,,,,,,,, +高山冻绿,Rhamnus utilis var. szechuanensis,李馨、周继西,73334,1957.8.2.,四川,2750,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0001748.jpg,,,,,,,,,, +,Rhamnus utilis var. utilis,朱太平,刘忠福,1860,19590709,贵州省,930,阳处,灌丛中,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0450043.jpg,,,,,,,,,, +,Rhamnus utilis var. utilis,,5540,,江西省,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0450049.jpg,,,,,,,,,, +帚枝鼠李(原变种),Rhamnus virgata var. virgata,谢登峰、卫静丽,2027121,20190920,四川,4580,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02027121.jpg,,,,,,,,,, +帚枝鼠李,Rhamnus virgata var. virgata,弥渡普查队,5329251055,20120718,云南省,2168,,灌木,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0012342.jpg,,,,,,,,,, +西藏鼠李,Rhamnus xizangensis,杨国平,31,20030717,云南省,2490,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01637668.jpg,,,,,,,,,, +西藏鼠李,Rhamnus xizangensis,李渤生等,6504,19830814,西藏自治区,2200,常绿林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01637536.jpg,,,,,,,,,, +粗茎崖角藤,Rhaphidophora crassicaulis,北京队,892082,19890501,广西壮族自治区,600,石岩上,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017447.jpg,,,,,,,,,, +粗茎崖角藤,Rhaphidophora crassicaulis,左景烈, 陈念劬,44256,19321111,海南省 ,0~4000,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0637407.jpg,,,,,,,,,, +粗茎崖角藤,Rhaphidophora crassicaulis,邓良,3218,19561119,海南省,0~700,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0637406.jpg,,,,,,,,,, +爬树龙,Rhaphidophora decursiva,青藏队,9299,19820813,云南省,1300,江边常绿阔叶林中附生于树上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240993.jpg,,,,,,,,,, +爬树龙,Rhaphidophora decursiva,,7222,19830902,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240991.jpg,,,,,,,,,, +狮子尾,Rhaphidophora hongkongensis,广西队,3515,19530900,广西壮族自治区,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017444.jpg,,,,,,,,,, +狮子尾,Rhaphidophora hongkongensis,236-6队,3436,19771103,云南省,600,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01436993.jpg,,,,,,,,,, +毛过山龙,Rhaphidophora hookeri,"覃海宁,张明理,高天刚,朱大海,农必明",2342,19981107,广西壮族自治区,850,山地、山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017439.jpg,,,,,,,,,, +毛过山龙,Rhaphidophora hookeri,蒋维邦,31,19530425,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01437017.jpg,,,,,,,,,, +毛过山龙,Rhaphidophora hookeri,吊罗山队,3329,19541225,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01437014.jpg,,,,,,,,,, +上树蜈蚣,Rhaphidophora lancifolia,紫胶队,L569,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01437044.jpg,,,,,,,,,, +上树蜈蚣,Rhaphidophora lancifolia,王启无,72384,19360300,云南省 ,0~2500,,Vine,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0637453.jpg,,,,,,,,,, +绿春崖角藤,Rhaphidophora luchunensis,陶德定,921,19731016,云南省,2100,林下乔木附生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01437046.jpg,,,,,,,,,, +绿春崖角藤,Rhaphidophora luchunensis,青藏队,74-1839,19740812,西藏自治区,2040,常绿林中,,无花有果,https://image.cvh.ac.cn/files/l/KUN/69669.jpg,,,,,,,,,, +大叶南苏,Rhaphidophora peepla,王启无,66849,19351000,云南省,2000,Vine parasitic on tree or rock,,有花有果,https://image.cvh.ac.cn/files/l/PE/00032653.jpg,,,,,,,,,, +大叶南苏,Rhaphidophora peepla,蔡杰、郭云刚、张凤琼、李梅娟、李昌洪,14CS9775,20141112,云南,1909,路边杂木林林缘,木质藤本,,https://image.cvh.ac.cn/files/l/KUN/1392895.jpg,,,,,,,,,, +,Rhaponticum repens,徐连升,150282,20150000,陕西省,,湖边阳坡岩石下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084690.jpg,,,,,,,,,, +,Rhaponticum repens,"陈又生,袁慊",141609,20140817,新疆维吾尔自治区,400,草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040516.jpg,,,,,,,,,, +,Rhaponticum repens,中国科学院植物研究所黄河调查队,1739,19560722,甘肃省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00595289.jpg,,,,,,,,,, +心叶大黄,Rheum acuminatum,PE西藏队,PE6449,20170912,西藏自治区,3449~4414,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293907.jpg,,,,,,,,,, +心叶大黄,Rheum acuminatum,黄河队,2138,19550824,山西省,430,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081970.jpg,,,,,,,,,, +心叶大黄,Rheum acuminatum,北京所横断山队,2281,19810729,云南省,4100,高山流石滩时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/02060059.jpg,,,,,,,,,, +苞叶大黄,Rheum alexandrae,北京所横断山队,2996,19810811,云南省,3880,高山沼泽化草甸中次优势种,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060058.jpg,,,,,,,,,, +苞叶大黄,Rheum alexandrae,横断山队植被组,4908,19830809,四川省,4300,杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060055.jpg,,,,,,,,,, +,Rheum australe,PE西藏考察队,22-Jan,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332849.jpg,,,,,,,,,, +藏边大黄,Rheum australe,俞德浚,6204,19370613,四川省,3900,森林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0425459.jpg,,,,,,,,,, +滇边大黄,Rheum delavayi,,33,19640613,青海省,4200,山地阴坡草甸上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082707.jpg,,,,,,,,,, +滇边大黄,Rheum delavayi,北京所横断山队,2110,19810728,云南省,4100~4450,高山草甸上部及流石滩上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060054.jpg,,,,,,,,,, +滇边大黄,Rheum delavayi,横断山队植被组,4791,19830803,四川省,4150,高山草甸及杜鹃灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060052.jpg,,,,,,,,,, +牛尾七,Rheum forrestii,周仕顺,5854,20090518,云南省,2300,山坡灌木丛林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869437.jpg,,,,,,,,,, +牛尾七,Rheum forrestii,D.E.Boufford et al.,41639,20090801,西藏自治区,3750~3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901472.jpg,,,,,,,,,, +,Rheum forrestii,杨光明,SCSB-W-1267,20080916,云南,3850,高山沼泽草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1243960.jpg,,,,,,,,,, +头序大黄,Rheum globulosum,PE西藏考察队,7531,20180619,西藏自治区,4768,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332936.jpg,,,,,,,,,, +,Rheum hotaoense,陈世龙,高庆波,张发起,付鹏程,邢睿,ChenSL1557,20110817,青海,3520,高山草甸,金露梅灌丛,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1321356.jpg,,,,,,,,,, +河套大黄,Rheum hotaoense,黄河调察队,1255,19560000,甘肃省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0425351.jpg,,,,,,,,,, +河套大黄,Rheum hotaoense,傅坤俊,12215,1958/6/6,陕西省  ,1060,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0098355.jpg,,,,,,,,,, +红脉大黄,Rheum inopinatum,青藏队,2871,19740803,西藏自治区,4200,高山草坡或沟岸旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/00240660.jpg,,,,,,,,,, +红脉大黄,Rheum inopinatum,岳俊三,828,19760821,四川省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS001742041.jpg,,,,,,,,,, +疏枝大黄,Rheum kialense,横断山队植被组,4555,19830710,云南省,4250,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060047.jpg,,,,,,,,,, +疏枝大黄,Rheum kialense,D.E.Boufford et al.,35761,20060805,四川省,4240,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898965.jpg,,,,,,,,,, +拉萨大黄,Rheum lhasaense,,QHQ0809,,西藏自治区,3800~4200,山坡(草坡上),,有花无果,https://image.cvh.ac.cn/files/l/PE/01008258.jpg,,,,,,,,,, +拉萨大黄,Rheum lhasaense,青藏队,12334,19830723,四川省,4000,山坡,灌丛,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0425357.jpg,,,,,,,,,, +丽江大黄,Rheum likiangense,青藏科考队,12554,19760803,西藏自治区,3900,山坡崖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00240674.jpg,,,,,,,,,, +丽江大黄,Rheum likiangense,武素功,2242,19590716,四川省,4000,"山坡,石缝中",,有花无果,https://image.cvh.ac.cn/files/l/PE/00240666.jpg,,,,,,,,,, +卵果大黄,Rheum moorcroftianum,PE西藏队,PE6556,20170913,西藏自治区,5340,高山甘草坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293906.jpg,,,,,,,,,, +卵果大黄,Rheum moorcroftianum,郭柯,K-88,19900629,青海省,5020,河谷阶地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099688.jpg,,,,,,,,,, +塔黄,Rheum nobile,PE西藏队,PE5964,20170905,西藏自治区,4780,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02303520.jpg,,,,,,,,,, +塔黄,Rheum nobile,青藏队,4157B,19810816,四川省,4500~4700,高山 灌丛 草甸 多石坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01063385.jpg,,,,,,,,,, +药用大黄,Rheum officinale,任再金,1-2524,19870610,湖北省,1800,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833587.jpg,,,,,,,,,, +药用大黄,Rheum officinale,58年秦岭队,10332,19580703,陕西省,,东坡沟 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01386864.jpg,,,,,,,,,, +药用大黄,Rheum officinale,"俞,陆,赵",30,19810525,河北省,800,石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01218753.jpg,,,,,,,,,, +掌叶大黄,Rheum palmatum,西藏综考队 傅国勋,823,19600713,西藏自治区,4450,芥卡中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090557.jpg,,,,,,,,,, +掌叶大黄,Rheum palmatum,"杨红梅,朗校安等",1650,20140424,四川省,1900~2300,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02021543.jpg,,,,,,,,,, +掌叶大黄,Rheum palmatum,"张志耘,谢磊等",2012-257,20120617,北京市,1900,"Villey,road side",,有花无果,https://image.cvh.ac.cn/files/l/PE/01900666.jpg,,,,,,,,,, +,Rheum przewalskyi,Hopkingson,1151,19300903,青海省,5000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00240823.jpg,,,,,,,,,, +,Rheum przewalskyi,伍典汉,6622,19740722,四川省,4700,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00240824.jpg,,,,,,,,,, +小大黄,Rheum pumilum,PE西藏考察队,8032,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333325.jpg,,,,,,,,,, +小大黄,Rheum pumilum,"郎楷永,李良千,费勇",2765,19830805,四川省,4400,卡子拉山丫口高山草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01063390.jpg,,,,,,,,,, +网脉大黄,Rheum reticulatum,"郭柯,郑度",12028,19880624,新疆维吾尔自治区,4100,4100m高山垫状植被,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352140.jpg,,,,,,,,,, +网脉大黄,Rheum reticulatum,"郭柯,郑度",12659,19880906,青海省,4700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352138.jpg,,,,,,,,,, +菱叶大黄,Rheum rhomboideum,甘农大,1,19760601,西藏自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00513434.jpg,,,,,,,,,, +菱叶大黄,Rheum rhomboideum,,2600,19610610,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00046845.jpg,,,,,,,,,, +穗序大黄,Rheum spiciforme,康藏植物考察队,10-1312,20100804,西藏自治区,4600,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966932.jpg,,,,,,,,,, +鸡爪大黄,Rheum tanguticum,,76-792,19760902,西藏自治区,4410,溪旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/00497651.jpg,,,,,,,,,, +鸡爪大黄,Rheum tanguticum,松潘小组,1567,19590707,四川省,3300,"阳山草坡,砂质土",,有花无果,https://image.cvh.ac.cn/files/l/PE/00240975.jpg,,,,,,,,,, +鸡爪大黄,Rheum tanguticum,K.M.Liou,5936,19360722,青海省,1700,栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/00240974.jpg,,,,,,,,,, +西藏大黄,Rheum tibeticum,PE西藏队,PE5549,20170831,西藏自治区,4352,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293900.jpg,,,,,,,,,, +西藏大黄,Rheum tibeticum,T.N.Ho(HNWP)等,2487,19960827,青海省,0~3540,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286530.jpg,,,,,,,,,, +西藏大黄,Rheum tibeticum,刘振书,1268,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00103880.jpg,,,,,,,,,, +单脉大黄,Rheum uninerve,胡式之,1991,19640925,甘肃省,,石山,,无花无果,https://image.cvh.ac.cn/files/l/PE/00241001.jpg,,,,,,,,,, +单脉大黄,Rheum uninerve,P.Licent S.J.,4018,19180612,宁夏回族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00241000.jpg,,,,,,,,,, +喜马拉雅大黄,Rheum webbianum,陈又生等,469,20111112,西藏自治区,,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966937.jpg,,,,,,,,,, +,Rheum webbianum,杨永平,王东超,杨大松,张春林,陶云芬,YangYP-Q-5048,20110904,西藏,4512,陡峭山坡石缝中,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1243682.jpg,,,,,,,,,, +天山大黄,Rheum wittrockii,王忠涛等,478,20070628,新疆维吾尔自治区,1776,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01869439.jpg,,,,,,,,,, +天山大黄,Rheum wittrockii,,5159,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352141.jpg,,,,,,,,,, +云南大黄,Rheum yunnanense,北京所横断山队,782,19810622,云南省,3800,高山草甸中偶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01063392.jpg,,,,,,,,,, +云南大黄,Rheum yunnanense,"X.H.Jin,Y.S.Chen, H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q",3373,20080720,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02006187.jpg,,,,,,,,,, +,Rhinactinidia limoniifolia,"刘成,亚吉东",15CS10202,20150612,新疆维吾尔自治区,1294,岩壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375834.jpg,,,,,,,,,, +,Rhinactinidia limoniifolia,"刘成, 张挺, 李昌洪, 熊晓强",16CS12229,20160531,新疆,1035,路上方石质山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1452911.jpg,,,,,,,,,, +互生红景天,Rhodiola alterna,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",41653,20090801,西藏自治区,3750~3900,rocky meadow scrub thickets and stony slopes and limestone cliffs,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110520.jpg,,,,,,,,,, +,Rhodiola alterna,徐波,陈光富,陈林杨,董金龙等,SunH-07ZX-0284,20080720,西藏,3599,干暖河谷,山坡灌丛,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300943.jpg,,,,,,,,,, +,Rhodiola atsaensis,王启无,66548,19350900,云南省,3400,"Oak wood, Bock orevice",,有花无果,https://image.cvh.ac.cn/files/l/PE/02100438.jpg,,,,,,,,,, +,Rhodiola atsaensis,西藏中草药普查队,964,19720802,西藏自治区,5200,沙石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100439.jpg,,,,,,,,,, +柴胡红景天,Rhodiola atsaensis,余奇,熊静,CIBYQ073B003,20190621,四川,3258,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1503405.jpg,,,,,,,,,, +德钦红景天,Rhodiola atuntsuensis,"李渤生,程树志,倪志诚",5850,19830726,西藏自治区,4600,高山 冰碛砾石内,,无花无果,https://image.cvh.ac.cn/files/l/PE/01494865.jpg,,,,,,,,,, +德钦红景天,Rhodiola atuntsuensis,"李新辉, 杨涛, 温昌润",Lixh17,20170908,西藏,5071,高山流石滩,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1457362.jpg,,,,,,,,,, +德钦红景天,Rhodiola atuntsuensis,周立华、孙立南,1077,19700716,青海省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/22350.jpg,,,,,,,,,, +短柄红景天,Rhodiola brevipetiolata,关克俭等,1155,19630730,四川省,4350,陡坡 流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00843274.jpg,,,,,,,,,, +短柄红景天,Rhodiola brevipetiolata,中国科学院,1162,,,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0471043.jpg,,,,,,,,,, +柴胡红景天,Rhodiola bupleuroides,PE西藏考察队,7689,20180622,西藏自治区,5500,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333302.jpg,,,,,,,,,, +柴胡红景天,Rhodiola bupleuroides,"D.E.Boufford,L.Y.Chen,J.L.Dong etc.",42657,20100805,四川省,4410~4650,thickets of tall and dwarf rhododendron with intervening areas of herbaceous plants small wet meadow like flat areas and open shale scree slopes at highest elevations crest of steep shale slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02108949.jpg,,,,,,,,,, +美花红景天,Rhodiola calliantha,"李渤生,李辉,阳艺",13728,19900912,西藏自治区,3300~3600,abies 林下石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487105.jpg,,,,,,,,,, +菊叶红景天,Rhodiola chrysanthemifolia,PE西藏考察队,7887,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333304.jpg,,,,,,,,,, +菊叶红景天,Rhodiola chrysanthemifolia,"姜恕,金存礼",2691,19590802,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100447.jpg,,,,,,,,,, +大花红景天,Rhodiola crenulata,四川植被调查队,乡2937,19730708,四川省,4700,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100714.jpg,,,,,,,,,, +大花红景天,Rhodiola crenulata,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0349,20130805,西藏自治区,4600,山坡 灌丛 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000804.jpg,,,,,,,,,, +大花红景天,Rhodiola crenulata,M.Wakabayashi et al.,9730264,19970814,,4770,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922244.jpg,,,,,,,,,, +根出红景天,Rhodiola cretinii,"李渤生,程树志",709,19820905,西藏自治区,3900~4300,高山 灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494046.jpg,,,,,,,,,, +,Rhodiola cretinii,罗建,汪书丽,任德智,LiuJQ-09XZ-ML034,20090927,西藏,4625,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237117.jpg,,,,,,,,,, +异色红景天,Rhodiola discolor,"川西队,关克俭,王文采等",关王691,19630718,四川省,3500,山坡灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092462.jpg,,,,,,,,,, +异色红景天,Rhodiola discolor,H.Ohashi et al.,772498,19770817,,4100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922243.jpg,,,,,,,,,, +异色红景天,Rhodiola discolor,,H16,19810730,云南省,3720,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494860.jpg,,,,,,,,,, +小丛红景天,Rhodiola dumulosa,,4010,19590211,河北省,3500,岩石缝、阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100708.jpg,,,,,,,,,, +小丛红景天,Rhodiola dumulosa,"Ying Taun-shen,Guo Qin-feng. Li Yun-feng,Cui He.",503,19870808,陕西省,,in forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100695.jpg,,,,,,,,,, +小丛红景天,Rhodiola dumulosa,金孝锋,3110,20130716,西藏自治区,,山坡,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100589.jpg,,,,,,,,,, +长圆红景天,Rhodiola forrestii,"姜恕,金存礼",2644,19950801,四川省,3700,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100722.jpg,,,,,,,,,, +长圆红景天,Rhodiola forrestii,孙必兴等,1019,19730716,云南省,3500,岩隙,岩壁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269002.jpg,,,,,,,,,, +长鳞红景天,Rhodiola gelida,"R.C.Hoch,陈家瑞",86179,19860827,新疆维吾尔自治区,3840,石破,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100488.jpg,,,,,,,,,, +异齿红景天,Rhodiola heterodonta,PE西藏考察队,7704,20180623,西藏自治区,4175,流石滩,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332085.jpg,,,,,,,,,, +异齿红景天,Rhodiola heterodonta,"李渤生,郑度,张百平",10458,19870708,新疆维吾尔自治区,4000~4100,山石内时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01344955.jpg,,,,,,,,,, +喜马红景天,Rhodiola himalensis subsp. himalensis,张晓纬、田新民、罗建,Liujq-09xz-lzt-019,20090831,西藏自治区,4329,高原河谷,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/00002759.jpg,,,,,,,,,, +背药红景天,Rhodiola hobsonii,PE西藏队,PE5927,20170905,西藏自治区,3020~3526,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309585.jpg,,,,,,,,,, +背药红景天,Rhodiola hobsonii,新疆综合考察队,9424,19590604,新疆维吾尔自治区,4190,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01268758.jpg,,,,,,,,,, +矮生红景天,Rhodiola humilis,青藏队,5885,19750625,西藏自治区,4750,山坡灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01268755.jpg,,,,,,,,,, +矮生红景天,Rhodiola humilis,杨永昌,1103,19650707,青海省,4300,岩石泰石处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268754.jpg,,,,,,,,,, +喀什红景天,Rhodiola kashgarica,"武素功,吴玉虎,费勇",2478,19880627,新疆维吾尔自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/150457.jpg,,,,,,,,,, +狭叶红景天,Rhodiola kirilowii,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",41621,20090801,西藏自治区,3750~3900,rocky meadow scrub thickets and stony slopes and limestone cliffs and boulders in shade of Juniperus in moist area,,有花有果,https://image.cvh.ac.cn/files/l/PE/02108997.jpg,,,,,,,,,, +狭叶红景天,Rhodiola kirilowii,"D.E.Boufford,K.Fujikawa,S.L.Kelley etc.",39242,20070807,四川省,3720~4100,mostly well preserved Picea forest on slopes and along river soil moist black and humus rich at base of Picea,,有花有果,https://image.cvh.ac.cn/files/l/PE/02108974.jpg,,,,,,,,,, +狭叶红景天,Rhodiola kirilowii,,3048,19590711,河北省,1900,草地、山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100713.jpg,,,,,,,,,, +黄萼红景天,Rhodiola litwinowii,西植新疆队,1129,19780707,新疆维吾尔自治区,4580,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268831.jpg,,,,,,,,,, +大果红景天,Rhodiola macrocarpa,赵清盛,1135,19890731,四川省,3500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100572.jpg,,,,,,,,,, +大果红景天,Rhodiola macrocarpa,"覃海宁,董仕勇,康云等",180,20010809,西藏自治区,4300,山坡草丛、阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100407.jpg,,,,,,,,,, +优秀红景天,Rhodiola nobilis,"D.E.Boufford,L.Y.Chen,J.L.Dong etc.",42323,20100727,四川省,4350~4615,broad ravine with numerous side seepages and both moist and dry upland meadows with rocky slopes at higher elevations and Abies forests in deep broad ravines at lower elevations among shrubs,,有花有果,https://image.cvh.ac.cn/files/l/PE/02108973.jpg,,,,,,,,,, +优秀红景天,Rhodiola nobilis,蓝顺彬,780,19870920,云南省,4100~4300,高山石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100621.jpg,,,,,,,,,, +帕米红景天,Rhodiola pamiro-alaica,青藏队 吴玉虎,870255,19870627,新疆维吾尔自治区,2620,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/144156.jpg,,,,,,,,,, +帕米尔红景天,Rhodiola pamiro-alaica,,2061,57.7.19,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00015018.jpg,,,,,,,,,, +帕阿红景天,Rhodiola pamiro-alaica,陈绍煋,780526,19780608,新疆,2450,灌丛里,,良好,https://image.cvh.ac.cn/files/l/BJM/169198.jpg,,,,,,,,,, +四轮红景天,Rhodiola prainii,PE西藏队,PE5198,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309620.jpg,,,,,,,,,, +四轮红景天,Rhodiola prainii,,704,19590730,,3600,坡脚石壁缝间,,有花无果,https://image.cvh.ac.cn/files/l/PE/00845219.jpg,,,,,,,,,, +,Rhodiola primuloides subsp. primuloides,"Handel-Mazzetti, Heinrich",7281,5-Aug-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00386386.jpg,,,,,,,,,, +四裂红景天,Rhodiola quadrifida,PE西藏考察队,8021,20180629,西藏自治区,4940,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333303.jpg,,,,,,,,,, +四裂红景天,Rhodiola quadrifida,关克俭,4001,19570831,新疆维吾尔自治区,2800,石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100442.jpg,,,,,,,,,, +四裂红景天,Rhodiola quadrifida,L.Ivanina,s.n.,19770712,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922361.jpg,,,,,,,,,, +直茎红景天,Rhodiola recticaulis,黄荣福,CG-86-028,19860822,新疆维吾尔自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/134902.jpg,,,,,,,,,, +直茎红景天,Rhodiola recticaulis,,1479,78.7.16,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00015063.jpg,,,,,,,,,, +齿叶红景天,Rhodiola serrata,倪志诚等,2708,19820801,西藏自治区,4100,沟谷草地中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269444.jpg,,,,,,,,,, +齿叶红景天,Rhodiola serrata,杨竞生,90-562,1990-09-,西藏省,3600,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0143159.jpg,,,,,,,,,, +六叶红景天,Rhodiola sexifolia,"李渤生,倪志诚,程树志",6054,19830731,西藏自治区,2900,石壁上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494851.jpg,,,,,,,,,, +小杯红景天,Rhodiola sherriffii,PE西藏考察队,7131,20180610,西藏自治区,4281,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332101.jpg,,,,,,,,,, +裂叶红景天,Rhodiola sinuata,"杨亲二,袁琼",Yangqe2245,20080813,云南省,3300,林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100462.jpg,,,,,,,,,, +裂叶红景天,Rhodiola sinuata,"倪志诚,汪永泽,次多,次旦",2373,19810919,西藏自治区,3000,高山棕林林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100446.jpg,,,,,,,,,, +裂叶红景天,Rhodiola sinuata,,1612,19720807,四川省,4500,生于高山相林或栎林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100444.jpg,,,,,,,,,, +,Rhodiola smithii,王东超,杨大松,张春林,陶云芬,YangYP-Q-5119,20110912,西藏,4599,山坡草地,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237213.jpg,,,,,,,,,, +异鳞红景天,Rhodiola smithii,黄健,,20100907,西藏自治区,4350,阳坡,小檗灌丛,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0011212.jpg,,,,,,,,,, +托花红景天,Rhodiola stapfii,PE西藏队,PE5513,20170831,西藏自治区,4460,沙砾坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309626.jpg,,,,,,,,,, +对叶红景天,Rhodiola subopposita,林业部林型组,天哈042,19560624,新疆维吾尔自治区,2540,阳面荒草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00845461.jpg,,,,,,,,,, +对叶红景天,Rhodiola subopposita,不祥,1489,19620628,青海省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/000734.jpg,,,,,,,,,, +唐古红景天,Rhodiola tangutica,青藏队补点组,750324,19750715,西藏自治区,4400~4600,水边 山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269395.jpg,,,,,,,,,, +唐古红景天,Rhodiola tangutica,杨永昌,1245,19650721,青海省,5000,流石滩,阴坡草甸顶部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269391.jpg,,,,,,,,,, +西藏红景天,Rhodiola tibetica,PE西藏队,PE5244,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309632.jpg,,,,,,,,,, +西藏红景天,Rhodiola tibetica,"D.E.Boufford,B.Bartholomew,S.L.Kelley etc.",36585,20060816,四川省,4330~4670,steep rocky slope with Salix thickets granite bedrock,,有花有果,https://image.cvh.ac.cn/files/l/PE/02108988.jpg,,,,,,,,,, +粗茎红景天,Rhodiola wallichiana,,75-915,19750809,西藏自治区,3800,冷杉采伐迹地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269410.jpg,,,,,,,,,, +粗茎红景天,Rhodiola wallichiana,杨金祥,928,19590616,陕西省,3050,山坡荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269408.jpg,,,,,,,,,, +粗茎红景天,Rhodiola wallichiana,"赵清盛,郭友好等",111143,19740613,四川省,4050,沟中河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269406.jpg,,,,,,,,,, +云南红景天,Rhodiola yunnanensis,四川省植被调查队,2068,19730715,四川省,3600,山谷路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100724.jpg,,,,,,,,,, +云南红景天,Rhodiola yunnanensis,周仕顺,6261,20090527,云南省,3500,箐边黄背栎杜鹃银杉混交林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100709.jpg,,,,,,,,,, +腺房杜鹃,Rhododendron adenogynum,生态室高原组,15636,19800917,西藏自治区,4100,林缘 主要建群种,,无花有果,https://image.cvh.ac.cn/files/l/PE/01537196.jpg,,,,,,,,,, +腺房杜鹃,Rhododendron adenogynum,北京所横断山队,1986,19810723,云南省,4100~4200,高山草甸带局部,,无花有果,https://image.cvh.ac.cn/files/l/PE/01537195.jpg,,,,,,,,,, +腺房杜鹃,Rhododendron adenogynum,G. Forrest,21406,19220601,四川省,3640,混生在杜鹃灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00226068.jpg,,,,,,,,,, +海绵杜鹃,Rhododendron aganniphum var. aganniphum,高连明,刘杰,GLM-081046,20080531,云南省,3780,杂木林,杜鹃林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1242272.jpg,,,,,,,,,, +海绵杜鹃,Rhododendron aganniphum var. aganniphum,高连明,严丽君,吴之坤,GLM-123360,20120618,云南省 ,4320,高山杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1242480.jpg,,,,,,,,,, +海绵杜鹃,Rhododendron aganniphum var. aganniphum,方震东,和光,木劲光,2001-75,20010712,云南省 ,3750,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 006336.jpg,,,,,,,,,, +迷人杜鹃(原变种),Rhododendron agastum var. agastum,宋鼎;刘敏;张桥蓉,LS044,20190330,贵州,1762,路边林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551161.jpg,,,,,,,,,, +亮红杜鹃,Rhododendron albertsenianum,Elizabeth Georgian,42,20110519,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1228157.jpg,,,,,,,,,, +亮红杜鹃,Rhododendron albertsenianum,Elizabeth Georgian,47,20110519,云南省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1228140.jpg,,,,,,,,,, +,Rhododendron alutaceum var. alutaceum,"Forrest, George",13098,14-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00001215.jpg,,,,,,,,,, +,Rhododendron amandum,"Ludlow, Francis & Sherriff, George",1365,27-Apr-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00010127.jpg,,,,,,,,,, +紫花杜鹃,Rhododendron amesiae,"赵清盛,谭仲明",119153,19830527,四川省,2700,山地 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01547427.jpg,,,,,,,,,, +紫花杜鹃,Rhododendron amesiae,俞德俊,s.n.,19480101,,,植物园栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312972.jpg,,,,,,,,,, +髯花杜鹃,Rhododendron anthopogon,PE西藏考察队,7138,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333708.jpg,,,,,,,,,, +髯花杜鹃,Rhododendron anthopogon,"S.Noshiro,N.Acharya,Y.Ibaragi etc.",9755211,19970825,,4210,in scrub on gravels of debris,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240170.jpg,,,,,,,,,, +烈香杜鹃,Rhododendron anthopogonoides,孙柯儿,200,19910702,甘肃省,2800~3600,阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233711.jpg,,,,,,,,,, +烈香杜鹃,Rhododendron anthopogonoides,,404,19640716,青海省,3900,山地阴坡沟谷湿润处,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082560.jpg,,,,,,,,,, +烈香杜鹃,Rhododendron anthopogonoides,Jeon et al.,Si0067,20040707,四川省,4091,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052917.jpg,,,,,,,,,, +团花杜鹃,Rhododendron anthosphaerum,青藏队植被组,3243,19740916,西藏自治区,2700,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01793061.jpg,,,,,,,,,, +团花杜鹃,Rhododendron anthosphaerum,冯国楣,6605,19400427,云南省,3600~3800,杜鹃灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00439512.jpg,,,,,,,,,, +团花杜鹃,Rhododendron anthosphaerum,王作宾,9892b,19381015,四川省,2200,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00315715.jpg,,,,,,,,,, +,Rhododendron aperantum,冯国楣,5101,19400704,云南省,3650~3800,"杜鹃丛中,习见",,有花无果,https://image.cvh.ac.cn/files/l/PE/00313699.jpg,,,,,,,,,, +,Rhododendron aperantum,G. Forrest,27584,19251001,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00226592.jpg,,,,,,,,,, +,Rhododendron araiophyllum,"赵清盛,何明友",118506,19840409,四川省,1800,公路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01554345.jpg,,,,,,,,,, +,Rhododendron araiophyllum,G. Forrest,26336,19250501,云南省,3030,林中或林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312973.jpg,,,,,,,,,, +,Rhododendron araiophyllum,G. Forrest,26491,19250401,,2730,山上混交林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00226634.jpg,,,,,,,,,, +,Rhododendron argipeplum,PE西藏考察队,7144,20180611,西藏自治区,3101,山谷灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02334371.jpg,,,,,,,,,, +夺目杜鹃,Rhododendron arizelum,Jin & Ting Zhang,52,20080514,云南省,2078,森林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233783.jpg,,,,,,,,,, +夺目杜鹃,Rhododendron arizelum,生态室高原组,14061,19800807,西藏自治区,2400,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495748.jpg,,,,,,,,,, +,Rhododendron asterochnoum,何铸,14178,19520921,四川省,2800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00312936.jpg,,,,,,,,,, +,Rhododendron atropunicum,T. T. Yu,6459,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00015356.jpg,,,,,,,,,, +暗紫杜鹃,Rhododendron atropunicum,T.T. Yu (俞德浚),6459,19370620,四川,3650,margin of woods,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0014474.jpg,,,,,,,,,, +,Rhododendron augustinii subsp. augustinii,"Farges, R.P.",2306,1898,,,,,,https://image.cvh.ac.cn/files/l/E/E00010002.jpg,,,,,,,,,, +,Rhododendron auritum,"Kingdon-Ward, Francis",6278,18-Nov-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00010095.jpg,,,,,,,,,, +辐花杜鹃,Rhododendron baileyi,PE西藏队,PE6665,20170914,西藏自治区,3934,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333414.jpg,,,,,,,,,, +辐花杜鹃,Rhododendron baileyi,俞德俊,s.n.,19480101,,,植物园栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00268948.jpg,,,,,,,,,, +,Rhododendron bainbridgeanum,G. Forrest,21895,19220601,云南省,3640~3940,生杜鹃灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00313008.jpg,,,,,,,,,, +,Rhododendron bainbridgeanum,G. Forrest,25635,19240701,,3940,On rocks and terraced cliffs,,有花无果,https://image.cvh.ac.cn/files/l/PE/00227388.jpg,,,,,,,,,, +,Rhododendron bainbridgeanum,G. Forrest,21894,19220601,西藏自治区,3300~3640,山谷边混生灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00227387.jpg,,,,,,,,,, +,Rhododendron balangense,"赵清盛,王泽富",122317,19840517,四川省,2100,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01554329.jpg,,,,,,,,,, +巴朗杜鹃,Rhododendron balangense,"刘德团, 沈元婷",MYP20191013,20191021,四川,2580,山坡崖边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483208.jpg,,,,,,,,,, +斑玛杜鹃,Rhododendron bamaense,高生所藏药队,260,19710617,青海省,4100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0229143.jpg,,,,,,,,,, +硬刺杜鹃,Rhododendron barbatum,"李渤生,李辉,阳艺",13421,19900902,西藏自治区,3100,Tsuga 林下常见灌木,,无花有果,https://image.cvh.ac.cn/files/l/PE/01196212.jpg,,,,,,,,,, +硬刺杜鹃,Rhododendron barbatum,俞德俊,s.n.,19480501,,,植物园栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00227321.jpg,,,,,,,,,, +,Rhododendron barkamense,李馨,71626,19570620,四川省,3800,山上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312519.jpg,,,,,,,,,, +粗枝杜鹃,Rhododendron basilicum,青藏队植被组,3222,19740916,西藏自治区,3190,冷杉林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01781324.jpg,,,,,,,,,, +粗枝杜鹃,Rhododendron basilicum,G. Forrest,24139,,云南省,3300,杜鹃丛林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315263.jpg,,,,,,,,,, +粗枝杜鹃,Rhododendron basilicum,G. Forrest,27602,19250701,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00227400.jpg,,,,,,,,,, +多叶杜鹃,Rhododendron bathyphyllum,,25739,19240700,西藏自治区,4270,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0448612.jpg,,,,,,,,,, +多叶杜鹃,Rhododendron bathyphyllum,吕正伟,83-440,19830623,云南省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255830.jpg,,,,,,,,,, +多叶杜鹃,Rhododendron bathyphyllum,Williams.,,,云南; Yunnan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107345.jpg,,,,,,,,,, +刺枝杜鹃,Rhododendron beanianum,高连明,蔡兆明,GLM-102979,20100604,西藏自治区,2800,针叶林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1240864.jpg,,,,,,,,,, +刺枝杜鹃,Rhododendron beanianum,高宝莼,郭友好,谭仲明,110867,19740502,四川省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00037856.jpg,,,,,,,,,, +宽钟杜鹃,Rhododendron beesianum,"韩裕丰,邓坤梅,陈永瑞",81-1549,19810807,云南省,3760,冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054148.jpg,,,,,,,,,, +宽钟杜鹃,Rhododendron beesianum,"李渤生,程树志等",593,19820904,西藏自治区,3500~3650,冷杉林上偶时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01537244.jpg,,,,,,,,,, +碧江杜鹃,Rhododendron bijiangense,杨增宏,80-0083,19800527,云南,2900,杂木林中,路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1208544.jpg,,,,,,,,,, +,Rhododendron bonvalotii,Bonvalot,s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00001262.jpg,,,,,,,,,, +,Rhododendron boothii,"李渤生,程树志等",4421,19830430,西藏自治区,2500~2800,Tsuga林中树上附生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537241.jpg,,,,,,,,,, +,Rhododendron boothii,俞德俊,s.n.,19480501,,,植物园栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/00227551.jpg,,,,,,,,,, +苞叶杜鹃,Rhododendron bracteatum,"Q.Wang,K.Yao",9049,19990600,四川省,2500,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115571.jpg,,,,,,,,,, +苞叶杜鹃,Rhododendron bracteatum,林哲纬,,19890601,台湾省,400,,,,https://image.cvh.ac.cn/files/l/PE/02053617.jpg,,,,,,,,,, +,Rhododendron bulu,毛建丰,2005011,20050430,西藏自治区,3327,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055293.jpg,,,,,,,,,, +,Rhododendron bureavii,青藏队,12716,19830807,四川省,3600,山坡,脚边林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00313942.jpg,,,,,,,,,, +,Rhododendron bureavii,G. Forrest,21941,19210701,云南省,3640,杜鹃林中或裸子植物林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00227671.jpg,,,,,,,,,, +,Rhododendron callimorphum var. callimorphum,N. H. Li,511,19990514,香港特别行政区,,growing along roadside,,,https://image.cvh.ac.cn/files/l/KUN/1285096.jpg,,,,,,,,,, +,Rhododendron callimorphum var. callimorphum,,16071,0,云南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/248134.jpg,,,,,,,,,, +,Rhododendron callimorphum var. callimorphum,"Forrest, George",12019,13-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001339.jpg,,,,,,,,,, +,Rhododendron calophytum var. openshawianum,"赵清盛,谭仲明",116131,19300324,四川省,1400,常绿林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01554640.jpg,,,,,,,,,, +,Rhododendron calostrotum var. calostrotum,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 杨云珊, 杨永平",16CS14381,20161111,西藏,3772,高山灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1446696.jpg,,,,,,,,,, +,Rhododendron calvescens var. calvescens,"Forrest, George",14331,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001157.jpg,,,,,,,,,, +钟花杜鹃,Rhododendron campanulatum,陈又生等,531,20111114,西藏自治区,4200,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01966893.jpg,,,,,,,,,, +钟花杜鹃,Rhododendron campanulatum,,S055,19660519,,3750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01571700.jpg,,,,,,,,,, +,Rhododendron campylocarpum subsp. caloxanthum,冯国楣,8424,19401013,云南省,,岩坡上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00315312.jpg,,,,,,,,,, +,Rhododendron campylocarpum subsp. caloxanthum,"李渤生,程树志",1114,19821230,西藏自治区,3800~4200,高山林线附近优势灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/00314875.jpg,,,,,,,,,, +弯柱杜鹃,Rhododendron campylogynum,M.labbe Delavay.,122,18880300,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052356.jpg,,,,,,,,,, +弯柱杜鹃,Rhododendron campylogynum,李渤生,6663,19830818,西藏自治区,3400~4000,山坡Rh丛中偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468184.jpg,,,,,,,,,, +头花杜鹃,Rhododendron capitatum,白水江考察队,476,20060627,甘肃省,3300,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01359558.jpg,,,,,,,,,, +头花杜鹃,Rhododendron capitatum,Farrer,511,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00439717.jpg,,,,,,,,,, +头花杜鹃,Rhododendron capitatum,青甘队,2478,19600614,青海省,2850,阴坡,林间空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315561.jpg,,,,,,,,,, +,Rhododendron catacosmum,冯国楣,8336,19401009,云南省,,岩石坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00314716.jpg,,,,,,,,,, +,Rhododendron catacosmum,青藏队,73-1123,19730813,西藏自治区,4200,灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00228429.jpg,,,,,,,,,, +毛喉杜鹃,Rhododendron cephalanthum,PE西藏考察队,7833,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333799.jpg,,,,,,,,,, +毛喉杜鹃,Rhododendron cephalanthum,"何明友,赵清盛",116849,19830520,四川省,3100,山地 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01554588.jpg,,,,,,,,,, +樱花杜鹃,Rhododendron cerasinum,PE西藏队,PE5850,20170903,西藏自治区,3401,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333419.jpg,,,,,,,,,, +樱花杜鹃,Rhododendron cerasinum,俞德俊,s.n.,19480501,,,植物园栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00267423.jpg,,,,,,,,,, +,Rhododendron chamaethomsonii var. chamaethomsonii,"Forrest, George",21723,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001129.jpg,,,,,,,,,, +睫毛杜鹃,Rhododendron ciliatum,"傅国勋,张经炜",1069,19600723,西藏自治区,3000,东北坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069420.jpg,,,,,,,,,, +睫毛杜鹃,Rhododendron ciliatum,俞德俊,s.n.,19480501,,,植物园栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00228346.jpg,,,,,,,,,, +,Rhododendron citriniflorum var. citriniflorum,"Forrest, George",14503,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001072.jpg,,,,,,,,,, +麻点杜鹃,Rhododendron clementinae,中国科学院西南综考队川滇黔接壤分队,1022,19650924,四川省,3600,冷杉林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803087.jpg,,,,,,,,,, +麻点杜鹃,Rhododendron clementinae,郝景盛,4412,19320920,陕西省,2700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00315827.jpg,,,,,,,,,, +,Rhododendron codonanthum,"Forrest, George",19810,21-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001187.jpg,,,,,,,,,, +,Rhododendron comisteum,"Forrest, George",14501,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001213.jpg,,,,,,,,,, +,Rhododendron complexum,"田效文,汤宗孝,张正华",884,19810815,云南省,4300,小叶杜鹃高山灌丛草场、山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055300.jpg,,,,,,,,,, +,Rhododendron complexum,"川西队,关克俭,王文采等",456,19630727,四川省,3900,岩上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00315856.jpg,,,,,,,,,, +秀雅杜鹃,Rhododendron concinnum,普查标本,20378,19590000,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02055298.jpg,,,,,,,,,, +秀雅杜鹃,Rhododendron concinnum,任再金,人3752,19930521,四川省,2800,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055125.jpg,,,,,,,,,, +秀雅杜鹃,Rhododendron concinnum,巴山采集队,2451,20080728,重庆市,2457,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851676.jpg,,,,,,,,,, +革叶杜鹃,Rhododendron coriaceum,"李渤生,程树志",1250,19821012,西藏自治区,3250,冷杉林下段常见伴生小乔木,,无花有果,https://image.cvh.ac.cn/files/l/PE/02106276.jpg,,,,,,,,,, +革叶杜鹃,Rhododendron coriaceum,,H-8,19810624,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01495771.jpg,,,,,,,,,, +革叶杜鹃,Rhododendron coriaceum,青藏队,6358,19820508,云南省,2800,山坡铁杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315526.jpg,,,,,,,,,, +,Rhododendron coryanum,青藏队植被组,11677,19760511,西藏自治区,3300,后站附近 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01781332.jpg,,,,,,,,,, +,Rhododendron cowanianum,西藏自治区中草药普查队,330,19720617,西藏自治区,3700,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312589.jpg,,,,,,,,,, +长粗毛杜鹃,Rhododendron crinigerum,青藏队,7617,19820625,云南省,3600,山坡,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00314149.jpg,,,,,,,,,, +长粗毛杜鹃,Rhododendron crinigerum,G. Forrest,18674,19140801,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00228829.jpg,,,,,,,,,, +,Rhododendron cuneatum,杨增宏,101822,19641110,云南省,3100,高山松林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01804614.jpg,,,,,,,,,, +,Rhododendron cuneatum,Ward,5037,19220413,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00228864.jpg,,,,,,,,,, +蓝果杜鹃,Rhododendron cyanocarpum,尹志坚,426,20090414,云南省,3200~3400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885292.jpg,,,,,,,,,, +蓝果杜鹃,Rhododendron cyanocarpum,俞德俊,s.n.,19480501,,,植物园栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00228882.jpg,,,,,,,,,, +,Rhododendron dalhousiae,张承志,117,19740505,西藏自治区,2200,阴坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312854.jpg,,,,,,,,,, +,Rhododendron dalhousiae,"B. Bartholomew, T. Y. Tse",1743,19840521,,2123,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00267180.jpg,,,,,,,,,, +漏斗杜鹃,Rhododendron dasycladoides,J.F.Rock,16045,19280600,四川省,3050,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0449441.jpg,,,,,,,,,, +,Rhododendron dasycladoides,"Schneider, Camillo Karl",4083,26-May-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00001158.jpg,,,,,,,,,, +,Rhododendron dasypetalum,G. Forrest,21304,19220601,云南省,4240,高山杜鹃灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00230463.jpg,,,,,,,,,, +,Rhododendron dasypetalum,蒲自莲等,830031,19830524,四川省,3600,高山栎、杜鹃、圆柏林丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00228908.jpg,,,,,,,,,, +毛瓣杜鹃,Rhododendron dasypetalum,Joseph F. Rock,22288,May-32,西藏; Southeast Tibet,1500,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107556.jpg,,,,,,,,,, +凹叶杜鹃,Rhododendron davidsonianum,任再金,3686,19930507,四川省,1600,山脚下公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055013.jpg,,,,,,,,,, +,Rhododendron dawuense,,20454,19790611,四川省,3800,生高山栎林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315851.jpg,,,,,,,,,, +,Rhododendron dawuense,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-130-B48,20190819,四川,4313,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261972.jpg,,,,,,,,,, +大白杜鹃,Rhododendron decorum,FLPH Sichuan Expedition,151521,20150808,四川省,3280,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02283857.jpg,,,,,,,,,, +大白杜鹃,Rhododendron decorum,杨国平,36,20030717,云南省,2490,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233740.jpg,,,,,,,,,, +,Rhododendron dekatanum,"Ludlow, Francis & Sherriff, George",1360,27-Apr-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00010287.jpg,,,,,,,,,, +绣球杜鹃,Rhododendron delavayi var. delavayi,庄平等,20021036,20021003,云南省,3200,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/004764.jpg,,,,,,,,,, +,Rhododendron delavayi var. peramoenum,税玉民,1983,19930411,云南省,2150,山坡密林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054685.jpg,,,,,,,,,, +,Rhododendron delavayi var. peramoenum,,216,19730625,西藏自治区,2200,常绿阔叶林,,无花无果,https://image.cvh.ac.cn/files/l/PE/00438993.jpg,,,,,,,,,, +,Rhododendron dendricola,"李渤生,程树志",4446,19830502,西藏自治区,2400,河边 石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537211.jpg,,,,,,,,,, +,Rhododendron dendricola,俞德俊,20193,19380910,云南省,1350,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00229904.jpg,,,,,,,,,, +,Rhododendron dendricola,G. Forrest,24774,19240801,,2130~2450,岩坡和悬崖边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00229899.jpg,,,,,,,,,, +落毛杜鹃,Rhododendron detonsum,青藏队,12498,19830726,四川省,3400~3600,山坡云杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00313191.jpg,,,,,,,,,, +落毛杜鹃,Rhododendron detonsum,冯国楣,5178,19400707,云南省,3500~3700,岩坡,杜鹃丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00229920.jpg,,,,,,,,,, +落毛杜鹃,Rhododendron detonsum,俞德俊,s.n.,19480501,,,植物园栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00229918.jpg,,,,,,,,,, +,Rhododendron dignabile,西藏自治区中草药普查队,3122,19720503,西藏自治区,3700,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00229994.jpg,,,,,,,,,, +疏毛杜鹃,Rhododendron dignabile,张超,20050064,20051002,四川省,3200,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005483.jpg,,,,,,,,,, +,Rhododendron dignabile,"Ludlow, Francis & Sherriff, George",1564,9-May-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00001253.jpg,,,,,,,,,, +多雄拉杜鹃,Rhododendron doshongense,西藏中草药普查队,3125,19720530,西藏自治区,3700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/31471.jpg,,,,,,,,,, +灌丛杜鹃,Rhododendron dumicola,方震东,675,19880612,云南省,3360,冷杉-箭竹群落,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003469.jpg,,,,,,,,,, +,Rhododendron dumicola,"Forrest, George",25580,24-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001189.jpg,,,,,,,,,, +,Rhododendron dumicola,林业部林业科学研究所标本室,,19551113,四川,3120,阳坡,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00030525.jpg,,,,,,,,,, +,Rhododendron eclecteum var. eclecteum,"Forrest, George",14804,17-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00001273.jpg,,,,,,,,,, +,Rhododendron edgeworthii,Jin & Ting Zhang,50,20080514,云南省,2078,森林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233791.jpg,,,,,,,,,, +,Rhododendron edgeworthii,生态室高原组,14054,19800807,西藏自治区,2400,山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01506123.jpg,,,,,,,,,, +,Rhododendron edgeworthii,,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01495756.jpg,,,,,,,,,, +,Rhododendron elegantulum,G. Forrest,21292,19220601,云南省,3600,生砾石山坡和草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00313279.jpg,,,,,,,,,, +,Rhododendron elegantulum,俞德俊,s.n.,19480501,,,植物园栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/00199617.jpg,,,,,,,,,, +,Rhododendron erastum,青藏队,8611,19820726,云南省,3000~3200,铁杉林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00257312.jpg,,,,,,,,,, +,Rhododendron erastum,青藏队,10275,19820909,西藏自治区,3000~3200,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/00230818.jpg,,,,,,,,,, +,Rhododendron erosum,,75-1125,19750903,西藏自治区,3600,云冷杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00438890.jpg,,,,,,,,,, +啮蚀杜鹃,Rhododendron erosum,张林、李星月、张晓严,3月4日,20180610,西藏,3672,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023625.jpg,,,,,,,,,, +,Rhododendron erosum,"Ludlow, Francis & Sherriff, George",1541,2-May-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00010379.jpg,,,,,,,,,, +,Rhododendron erythrocalyx,冯国楣,993,19390523,云南省,,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00313614.jpg,,,,,,,,,, +,Rhododendron erythrocalyx,G. Forrest,21917,19220601,西藏自治区,3640,生裸子植物林,,无花无果,https://image.cvh.ac.cn/files/l/PE/00313290.jpg,,,,,,,,,, +,Rhododendron esetulosum,徐洗贵,20338,19210901,西藏自治区,10,in thickets in side valleys,,无花无果,https://image.cvh.ac.cn/files/l/PE/00312394.jpg,,,,,,,,,, +,Rhododendron esetulosum,"Forrest, George",18654,1919,,,,,,https://image.cvh.ac.cn/files/l/E/E00001184.jpg,,,,,,,,,, +,Rhododendron eudoxum var. brunneifolium,俞德俊,19048,19380613,云南省,3600~3800,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00314602.jpg,,,,,,,,,, +,Rhododendron eudoxum var. brunneifolium,"Forrest, George",19025,19-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001117.jpg,,,,,,,,,, +,Rhododendron eudoxum var. eudoxum,"Rock, Joseph Francis Charles",22295,May-32,,,,,,https://image.cvh.ac.cn/files/l/E/E00001110.jpg,,,,,,,,,, +,Rhododendron exasperatum,K.Ward,8250,19280530,,4000,"Growing on the open ridge and on its flanks,in den",,有花无果,https://image.cvh.ac.cn/files/l/PE/00027609.jpg,,,,,,,,,, +,Rhododendron exasperatum,,13595,19470105,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/538263.jpg,,,,,,,,,, +,Rhododendron facetum,780植被组,552,19781123,云南省,2850,苔藓杜鹃林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01490156.jpg,,,,,,,,,, +,Rhododendron facetum,"李渤生,程树志",2867,19830301,西藏自治区,2100,山顶,疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00314692.jpg,,,,,,,,,, +密枝杜鹃,Rhododendron fastigiatum,Chin-Sung Chang et al.,SI0107,20040708,四川省,3996,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055451.jpg,,,,,,,,,, +密枝杜鹃,Rhododendron fastigiatum,西藏队,1462,19610524,西藏自治区,4490,湖泊旱化沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/02042535.jpg,,,,,,,,,, +密枝杜鹃,Rhododendron fastigiatum,M.Iabbe Delavay,360,18890418,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01921457.jpg,,,,,,,,,, +,Rhododendron faucium,"T.Naito,K. Y. Lang,Y. Tateishi,T. Nemoto & B. S. L",1069,19860515,西藏自治区,3100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054654.jpg,,,,,,,,,, +黄药杜鹃,Rhododendron flavantherum,庄平 冯正波 张超,980175,19980929,西藏自治区,3800,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/006829.jpg,,,,,,,,,, +,Rhododendron flavantherum,"Kingdon-Ward, Francis",6313,25-Nov-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00010110.jpg,,,,,,,,,, +淡黄杜鹃,Rhododendron flavidum,R.P.Soulie,1005,18950728,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01921456.jpg,,,,,,,,,, +淡黄杜鹃,Rhododendron flavidum,"赵振鐻,师进斌,范德刚",114431,19810610,四川省,3650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01554686.jpg,,,,,,,,,, +翅柄杜鹃,Rhododendron fletcherianum,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14490,20161117,西藏,2337,公路边岩石上,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1448878.jpg,,,,,,,,,, +,Rhododendron fletcherianum,"Rock, Joseph Francis Charles",22302,Jun-32,,,,,,https://image.cvh.ac.cn/files/l/E/E00010126.jpg,,,,,,,,,, +锦毛杜鹃,Rhododendron floccigerum,R.P.Soulie,1014,18950415,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01921455.jpg,,,,,,,,,, +锦毛杜鹃,Rhododendron floccigerum,青藏队,8439,19820610,云南省,3000,山坡云杉下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00315280.jpg,,,,,,,,,, +繁花杜鹃,Rhododendron floribundum,赵佐成,1737,19930930,四川省,2500,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02054659.jpg,,,,,,,,,, +繁花杜鹃,Rhododendron floribundum,孙必兴等,953,19730715,云南省,2600,疏林,常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00230610.jpg,,,,,,,,,, +,Rhododendron forrestii subsp. forrestii,"Forrest, George",699,5-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001132.jpg,,,,,,,,,, +镰果杜鹃,Rhododendron fulvum,张经炜,1018,19730811,西藏自治区,3100,古北川侧碛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01571678.jpg,,,,,,,,,, +镰果杜鹃,Rhododendron fulvum,青藏队,6865,19820527,云南省,3600,山坡,竹子林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315873.jpg,,,,,,,,,, +镰果杜鹃,Rhododendron fulvum,姜恕等,1574,19590703,四川省,3800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00315439.jpg,,,,,,,,,, +乳黄叶杜鹃,Rhododendron galactinum,"赵清盛,王泽富",122360,19840527,四川省,2700,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01554586.jpg,,,,,,,,,, +大芽杜鹃,Rhododendron gemmiferum,方震东、和光、木劲华,2001-76,20010712,云南省,3850,针叶林下,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003496.jpg,,,,,,,,,, +,Rhododendron gemmiferum,"Forrest, George",13902,17-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00327493.jpg,,,,,,,,,, +灰白杜鹃,Rhododendron genestierianum,,19329,19190800,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02054851.jpg,,,,,,,,,, +灰白杜鹃,Rhododendron genestierianum,张经炜,698,19730715,西藏自治区,2000,东北山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00313751.jpg,,,,,,,,,, +大果杜鹃,Rhododendron glanduliferum,"余新林, 赵玮",BSGLGStc232,20131121,云南,,中山湿性常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1338178.jpg,,,,,,,,,, +具腺杜鹃,Rhododendron glanduliferum,胡琳贞,51122,19560730,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00020196.jpg,,,,,,,,,, +大果杜鹃,Rhododendron glanduliferum,彭玉兰、余奇、李林霖,THP-KD-1526,20170619,四川,3507,,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250409.jpg,,,,,,,,,, +粘毛杜鹃,Rhododendron glischrum,中国科学院西南综考队川滇黔接壤分队,188,19650503,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054183.jpg,,,,,,,,,, +粘毛杜鹃,Rhododendron glischrum,"李渤生,程树志",1248,19821012,西藏自治区,3000~3400,冷杉林上段时见伴生灌木,,无花无果,https://image.cvh.ac.cn/files/l/PE/01447969.jpg,,,,,,,,,, +,Rhododendron gongshanense,青藏队,8261,19820721,云南省,2200~2400,常绿阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00314264.jpg,,,,,,,,,, +巨魁杜鹃,Rhododendron grande,"李渤生,程树志",1860,19821120,西藏自治区,2800~3300,Abies林下极常见 Tsuga林下也有,,无花无果,https://image.cvh.ac.cn/files/l/PE/01537214.jpg,,,,,,,,,, +巨魁杜鹃,Rhododendron grande,青藏队,9753,19820830,云南省,2500,山脊杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00312733.jpg,,,,,,,,,, +,Rhododendron haematodes subsp. haematodes,"Delavay, Pierre Jean Marie",298,,,,,,,https://image.cvh.ac.cn/files/l/E/E00001068.jpg,,,,,,,,,, +光枝杜鹃,Rhododendron haofui,萧百中,3449,20040404,湖南省,1350,山腰、公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055291.jpg,,,,,,,,,, +光枝杜鹃,Rhododendron haofui,,254,19620906,广西壮族自治区,1550,落叶常绿混交林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02008214.jpg,,,,,,,,,, +亮鳞杜鹃,Rhododendron heliolepis var. heliolepis,,,19780803,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/077497.jpg,,,,,,,,,, +,Rhododendron heliolepis var. heliolepis,"Delavay, Pierre Jean Marie",2089,,,,,,,https://image.cvh.ac.cn/files/l/E/E00010247.jpg,,,,,,,,,, +,Rhododendron hemitrichotum,任再金,3881,19930615,四川省,2300,山坡、路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054190.jpg,,,,,,,,,, +,Rhododendron hemitrichotum,禹平华,1037,19570929,云南省,1800,灌木丛中,多,,无花有果,https://image.cvh.ac.cn/files/l/PE/00313531.jpg,,,,,,,,,, +,Rhododendron hirtipes,北京所横断山队,3118,19810817,云南省,3400,高山栎,云杉林内,,无花无果,https://image.cvh.ac.cn/files/l/PE/01377666.jpg,,,,,,,,,, +,Rhododendron hirtipes,"李渤生,倪志诚,程树志",5727,19830721,西藏自治区,3400,河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00314956.jpg,,,,,,,,,, +硬毛杜鹃,Rhododendron hirtipes,W.P.Fang,,19350427,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0450819.jpg,,,,,,,,,, +多裂杜鹃,Rhododendron hodgsonii,张经炜,2495,19610523,西藏自治区,3500,南坡 棕色森林土,,有花有果,https://image.cvh.ac.cn/files/l/PE/02047682.jpg,,,,,,,,,, +多裂杜鹃,Rhododendron hodgsonii,B. Bartholomew ,1668,19840513,,3350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00231390.jpg,,,,,,,,,, +杜鹃花属,Rhododendron hookeri,"李渤生,程树志",3598,19830326,西藏自治区,2200,杂木林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315161.jpg,,,,,,,,,, +,Rhododendron hunnewellianum,赵志龙,87-0107,19870324,四川省,1300,阔叶林内悬崖上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054187.jpg,,,,,,,,,, +,Rhododendron hunnewellianum,"王一峰,陈学林",911010,19910719,甘肃省,1640,山坡杂木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01591323.jpg,,,,,,,,,, +,Rhododendron hylaeum,张经炜,1480,19730920,西藏自治区,3100,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00315095.jpg,,,,,,,,,, +,Rhododendron hylaeum,冯国楣,7550,19400907,云南省,2400~2800,沟边,杂林中,习见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00313670.jpg,,,,,,,,,, +毛花杜鹃,Rhododendron hypenanthum,中国科学院自然资源综合考察组资料室,75-455,19750702,西藏自治区,3500,高山灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240160.jpg,,,,,,,,,, +毛花杜鹃,Rhododendron hypenanthum,泛喜马拉雅植物志巴基斯坦采集队,FPH-0767,20120624,,3800~4010,"Forest,Alpine meadow",,有花无果,https://image.cvh.ac.cn/files/l/PE/02004617.jpg,,,,,,,,,, +,Rhododendron igneum,F. Ludlow & G. Sherriff,2334,1936/7/10,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00015431.jpg,,,,,,,,,, +,Rhododendron impeditum,W.C.Cheng,1033,19300530,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02106275.jpg,,,,,,,,,, +,Rhododendron impeditum,俞德俊,8912,19370718,云南省,4000,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315214.jpg,,,,,,,,,, +雕纹杜鹃,Rhododendron insculptum,禹平华,1284,1957/10/11,贵州省,1550,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0203461.jpg,,,,,,,,,, +雕纹杜鹃,Rhododendron insculptum,陈少卿,16396,1958/8/21,广西,1280,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0213488.jpg,,,,,,,,,, +隐蕊杜鹃,Rhododendron intricatum,Q.S.Zhao,119218,19830529,四川省,3800~4250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01547604.jpg,,,,,,,,,, +隐蕊杜鹃,Rhododendron intricatum,G. Forrest,21031,19211101,云南省,,生松林中,潮湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00313496.jpg,,,,,,,,,, +露珠杜鹃,Rhododendron irroratum,"董洪进,赵飞",WM-0540,20160520,云南省,1900,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090904.jpg,,,,,,,,,, +露珠杜鹃,Rhododendron irroratum,"高信芬,彭玉兰,孙庚",3351,20020911,四川省,2680,常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02055284.jpg,,,,,,,,,, +,Rhododendron kasoense,青藏队植被组,3200,19740916,西藏自治区,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838888.jpg,,,,,,,,,, +,Rhododendron kasoense,Elizabeth Georgian,48,20110519,云南省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1228135.jpg,,,,,,,,,, +黄管杜鹃,Rhododendron kasoense,"刘成, 蔡杰, 刘恩德",13CS6349,20130525,西藏,,路边山坡灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338231.jpg,,,,,,,,,, +,Rhododendron keleticum,王启无,67132,19351001,云南省,3000,山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/00314215.jpg,,,,,,,,,, +,Rhododendron keleticum,G. Forrest,18918,19190801,西藏自治区,,生多石草地和悬崖,,有花无果,https://image.cvh.ac.cn/files/l/PE/00267352.jpg,,,,,,,,,, +,Rhododendron kendrickii,青藏队,8265,19820721,云南省,2200,阔叶林间,,无花有果,https://image.cvh.ac.cn/files/l/PE/00267257.jpg,,,,,,,,,, +,Rhododendron kendrickii,郭永杰,张桥蓉,秦少发,张凤琼,16CS14524,20161120,西藏,2995,公路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1439722.jpg,,,,,,,,,, +管花杜鹃,Rhododendron keysii,PE西藏考察队,7176,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333697.jpg,,,,,,,,,, +管花杜鹃,Rhododendron keysii,"B. Bartholomew, T. Y. Tse",1695,19840516,,3050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00231394.jpg,,,,,,,,,, +,Rhododendron kongboense,生态室高原组,10488,19800616,西藏自治区,4100,山坡 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495690.jpg,,,,,,,,,, +工布杜鹃,Rhododendron kongboense,"张挺, 张书东, 郭永杰",13CS7584,20130526,西藏,,无,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338237.jpg,,,,,,,,,, +,Rhododendron kyawi,Farrer,1753,19200725,云南省,2120,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00314222.jpg,,,,,,,,,, +,Rhododendron kyawi,G. Forrest,17928,19190501,,2750,生混交林,,无花无果,https://image.cvh.ac.cn/files/l/PE/00312791.jpg,,,,,,,,,, +乳黄杜鹃,Rhododendron lacteum,田旗,TQ-XL-006,20080519,四川省,3970,密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055228.jpg,,,,,,,,,, +乳黄杜鹃,Rhododendron lacteum,M.Iabbe Delavay,s.n.,18880020,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921726.jpg,,,,,,,,,, +,Rhododendron lanatoides,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13746,21-May-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00001053.jpg,,,,,,,,,, +,Rhododendron lanatum,青藏队补点组,750253,19750606,西藏自治区,3800,山顶灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00256041.jpg,,,,,,,,,, +黄钟杜鹃,Rhododendron lanatum,"罗建, 汪书丽",L133,20101012,西藏,,高山灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1338240.jpg,,,,,,,,,, +,Rhododendron lateriflorum,"Feng, K.M.",24128,10-Nov-59,,,,,,https://image.cvh.ac.cn/files/l/E/E00010265.jpg,,,,,,,,,, +毛冠杜鹃,Rhododendron laudandum,西藏中草药普查队,4007,19720717,西藏自治区,4800~5100,山坡近山顶,,无花无果,https://image.cvh.ac.cn/files/l/PE/01781316.jpg,,,,,,,,,, +鳞腺杜鹃,Rhododendron lepidotum,PE西藏队,PE6614,20170914,西藏自治区,3934,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333471.jpg,,,,,,,,,, +鳞腺杜鹃,Rhododendron lepidotum,"S.Noshiro,N.Acharya,Y.Ibaragi etc.",9755206,19970824,,3760,on gravels rocks in a cirque,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240167.jpg,,,,,,,,,, +,Rhododendron leptocarpum,"Forrest, George",21811,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00010281.jpg,,,,,,,,,, +异鳞杜鹃,Rhododendron leptocarpum,郭永杰,张桥蓉,秦少发,张凤琼,16CS14506,20161119,西藏,2783,针阔混交林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437677.jpg,,,,,,,,,, +腺绒杜鹃,Rhododendron leptopeplum,庄平 冯正波 张超,272,20000925,云南省,2800,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005430.jpg,,,,,,,,,, +,Rhododendron leptopeplum,"Forrest, George",16352,18-Mar,,,,,,https://image.cvh.ac.cn/files/l/E/E00116416.jpg,,,,,,,,,, +薄叶马银花,Rhododendron leptothrium,王洪,7744,20050305,云南省,2400,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055230.jpg,,,,,,,,,, +,Rhododendron leucaspis,"朱大海,王永,王炳锋,苏小镔",211,20020422,四川省,2250,山脊林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115862.jpg,,,,,,,,,, +,Rhododendron leucaspis,"张永田,郎楷永",3170,19660504,西藏自治区,2800,山坡杜鹃灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115498.jpg,,,,,,,,,, +大花杜鹃,Rhododendron lindleyi,青藏队补点组,751733,19750828,西藏自治区,2600,林间,,无花有果,https://image.cvh.ac.cn/files/l/PE/00255587.jpg,,,,,,,,,, +大花杜鹃,Rhododendron lindleyi,"扎西次仁, 拉穷, 西落",ZhongY542,20090502,西藏,,阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338258.jpg,,,,,,,,,, +长鳞杜鹃,Rhododendron longesquamatum,徐洪贵,5591,19950704,四川省,2800,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02055530.jpg,,,,,,,,,, +长鳞杜鹃,Rhododendron longesquamatum,刘慎谔,18025,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00314380.jpg,,,,,,,,,, +长萼杜鹃,Rhododendron longicalyx,赵清盛,王泽富,122346,19840525,四川省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00037136.jpg,,,,,,,,,, +长萼杜鹃,Rhododendron longicalyx,彭玉兰、余奇、李林霖,THP-KD-1221,20170614,四川,3091,,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250645.jpg,,,,,,,,,, +,Rhododendron ludlowii,PE西藏队,PE6484,20170912,西藏自治区,4530,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333422.jpg,,,,,,,,,, +广口杜鹃,Rhododendron ludlowii,关克俭 汪劲武 李朝銮,308,19640418,四川省,500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/78754.jpg,,,,,,,,,, +,Rhododendron ludlowii,"Ludlow, Francis & Sherriff, George",1895,2-Jul-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00010007.jpg,,,,,,,,,, +炉霍杜鹃,Rhododendron luhuoense,秦自生,6443,19740705,四川省,4000,红杉林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00027641.jpg,,,,,,,,,, +炉霍杜鹃,Rhododendron luhuoense,鞠文彬,郑臣臣,THP-KD-5391,20170806,四川,4283,草地灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251774.jpg,,,,,,,,,, +,Rhododendron lukiangense,R.P.Soulie.,1000,19030708,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921720.jpg,,,,,,,,,, +,Rhododendron lukiangense,G. Forrest,17463,19181000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00439613.jpg,,,,,,,,,, +,Rhododendron magnificum,张经炜,925,19730802,西藏自治区,2100,沟谷凹地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01792863.jpg,,,,,,,,,, +,Rhododendron mainlingense,西藏自治区中草药普查队,3781,19720714,西藏自治区,4000,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00267772.jpg,,,,,,,,,, +米林杜鹃,Rhododendron mainlingense,"罗建, 汪书丽",L134,20101012,西藏,,高山灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338289.jpg,,,,,,,,,, +羊毛杜鹃,Rhododendron mallotum,北京植物所横断山队,124,19810527,云南省,2600~3000,西坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804831.jpg,,,,,,,,,, +羊毛杜鹃,Rhododendron mallotum,G. Forrest,17995,19190601,,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312801.jpg,,,,,,,,,, +杜鹃花属,Rhododendron martinianum,冯国楣,5009,19400703,云南省,3500~3650,杜鹃丛中,岩坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00313692.jpg,,,,,,,,,, +少花杜鹃,Rhododendron martinianum,J.F.Rock,17068,19280600,云南省 ,3850,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0482443.jpg,,,,,,,,,, +少花杜鹃,Rhododendron martinianum,,21775,19220600,西藏自治区,3050,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0482444.jpg,,,,,,,,,, +,Rhododendron meddianum var. meddianum,"Forrest, George",15767,17-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001270.jpg,,,,,,,,,, +,Rhododendron medoense,陈伟烈,10761,19800629,西藏自治区,2000,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506120.jpg,,,,,,,,,, +大萼杜鹃,Rhododendron megacalyx,780工程,879,19781204,云南省,2700,三角点附近 杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01490157.jpg,,,,,,,,,, +大萼杜鹃,Rhododendron megacalyx,"李渤生,程树志",1673,19821105,西藏自治区,2600,常绿阔叶林山顶常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468191.jpg,,,,,,,,,, +墨脱杜鹃,Rhododendron megalanthum,"李渤生,程树志",3596,19830326,西藏自治区,2200,杂木林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00314694.jpg,,,,,,,,,, +西藏杜鹃,Rhododendron megalanthum,"刘成, 亚吉东",18CS17260,20181123,西藏,1614,次生林林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487460.jpg,,,,,,,,,, +大花杜鹃,Rhododendron megalanthum,陈永昌,406988,19611027,广西壮族自治区,1650,山顶疏林,普遍,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00355783.jpg,,,,,,,,,, +招展杜鹃,Rhododendron megeratum,王启无,67415,19351001,云南省,3000,生林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/00314126.jpg,,,,,,,,,, +,Rhododendron mekongense var. longipilosum,俞德俊,19374,19370713,云南省,4000,密林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00254775.jpg,,,,,,,,,, +,Rhododendron mekongense var. longipilosum,"Kingdon-Ward, Francis",11915,6-Jul-35,,,,,,https://image.cvh.ac.cn/files/l/E/E00010063.jpg,,,,,,,,,, +杜鹃花属,Rhododendron microgynum,"张经炜,郑度",1528,19730813,西藏自治区,4200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00314612.jpg,,,,,,,,,, +短蕊杜鹃,Rhododendron microgynum,"孙航, 张建文, 陈建国, 陈林杨, 董金龙, 李国栋, 刘常周, 彭德力, 陆覃昱, 张永增",SunH-07ZX-2766,20090927,西藏,,高山灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1338313.jpg,,,,,,,,,, +短蕊杜鹃,Rhododendron microgynum,方震东,990444,19980425,云南省,2300~2600,杜鹃林下,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006370.jpg,,,,,,,,,, +亮毛杜鹃,Rhododendron microphyton var. microphyton,王汉臣,3988,19430722,云南省,,,木本,有花无果,https://image.cvh.ac.cn/files/l/PE/00254249.jpg,,,,,,,,,, +,Rhododendron mimetes,G. Forrest,16320,19180601,四川省,3300,生松林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315243.jpg,,,,,,,,,, +,Rhododendron mimetes,"Forrest, George",21417,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001200.jpg,,,,,,,,,, +,Rhododendron mimetes,林业部林业科学研究所标本室,,19551106,四川,3910,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00030620.jpg,,,,,,,,,, +,Rhododendron miniatum,"Ludlow, Francis & Sherriff, George",1710,26-May-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00001593.jpg,,,,,,,,,, +,Rhododendron mollicomum,西师生74级,11921,19760611,四川省,2090,栎林下中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00314007.jpg,,,,,,,,,, +,Rhododendron mollicomum,G. Forrest,20525,19210701,云南省,2420~2750,Open thickets in dry situations on the lower slopes,,无花有果,https://image.cvh.ac.cn/files/l/PE/00259541.jpg,,,,,,,,,, +柔毛碎米花,Rhododendron mollicomum,W.P.Fang,,19350000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0482858.jpg,,,,,,,,,, +一朵花杜鹃,Rhododendron monanthum,"李渤生,程树志等",1879,19821120,西藏自治区,2800,Tsuga林缘时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01537243.jpg,,,,,,,,,, +一朵花杜鹃,Rhododendron monanthum,北京植物所横断山队,1422,19580711,云南省,3200~3300,铁杉林下,优势灌木,,无花有果,https://image.cvh.ac.cn/files/l/PE/00266851.jpg,,,,,,,,,, +,Rhododendron montiganum,高连明,GLM-133974,20130430,云南省,4096,杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241418.jpg,,,,,,,,,, +,Rhododendron montroseanum,"李渤生,程树志",4419,19830430,西藏自治区,2600~2800,Tsugu 上带林下优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447971.jpg,,,,,,,,,, +墨脱杜鹃,Rhododendron montroseanum,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,911,20121017,西藏,,林下,小乔木,无花有果,https://image.cvh.ac.cn/files/l/BJM/0230307.jpg,,,,,,,,,, +,Rhododendron montroseanum,"Kingdon-Ward, Francis",6261A,,,,,,,https://image.cvh.ac.cn/files/l/E/E00001009.jpg,,,,,,,,,, +,Rhododendron moulmainense,,桂2,,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02054843.jpg,,,,,,,,,, +,Rhododendron moulmainense,刘恩德等,3642,20120325,云南省,2045,in forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920553.jpg,,,,,,,,,, +,Rhododendron moulmainense,"张寿洲,李良千等",319,20050419,广东省,600~700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01586984.jpg,,,,,,,,,, +白花杜鹃,Rhododendron mucronatum,"朱秋桂,刘卿雯",199,20020823,浙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115865.jpg,,,,,,,,,, +白花杜鹃,Rhododendron mucronatum,刘淼等,A60014,20060515,安徽省,350,生于山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01798302.jpg,,,,,,,,,, +德钦杜鹃,Rhododendron nakotiltum,四川经济植物考察队,755,1985-5 2,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0106370.jpg,,,,,,,,,, +德钦杜鹃,Rhododendron nakotiltum,方震东、谢爱芳、海仙、李红,DJDC-551,20160623,云南省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000073.jpg,,,,,,,,,, +,Rhododendron nakotiltum,"Forrest, George",14060,17-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001252.jpg,,,,,,,,,, +,Rhododendron nigroglandulosum,"张秀实,任有铣",6509,19580812,四川省,3500,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00259200.jpg,,,,,,,,,, +,Rhododendron nitidulum var. nitidulum,四川大学生物系,38529,1954,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/541661.jpg,,,,,,,,,, +,Rhododendron nitidulum var. nitidulum,"Wilson, Ernest Henry",3461,8-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00010207.jpg,,,,,,,,,, +,Rhododendron nitidulum var. omeiense,徐洪贵,1624,19950624,四川省,3010,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315604.jpg,,,,,,,,,, +雪层杜鹃,Rhododendron nivale subsp. nivale,青藏队,74-2671,19740918,西藏自治区,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00268064.jpg,,,,,,,,,, +雪层杜鹃,Rhododendron nivale subsp. nivale,方震东,66,20050625,云南,4000,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008540.jpg,,,,,,,,,, +,Rhododendron nivale subsp. nivale,"Kingdon-Ward, Francis",79,16-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00010181.jpg,,,,,,,,,, +木兰杜鹃,Rhododendron nuttallii,"李渤生,程树志",1583,19821030,西藏自治区,,山背偶见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01468193.jpg,,,,,,,,,, +木兰杜鹃,Rhododendron nuttallii,"韩裕丰,邓坤梅",521,19810601,云南省,1950,山下部,,无花无果,https://image.cvh.ac.cn/files/l/PE/00314552.jpg,,,,,,,,,, +,Rhododendron nyingchiense,,2299,19740825,西藏自治区,440,松柏林下NO39,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055138.jpg,,,,,,,,,, +林芝杜鹃,Rhododendron nyingchiense,"刘成, 蔡杰, 刘恩德",13CS6367,20130525,西藏,,路边草坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338366.jpg,,,,,,,,,, +团叶杜鹃,Rhododendron orbiculare,"高茂国,程子白,伍煜庭",116370,19820525,四川省,2920,河边坡地林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094877.jpg,,,,,,,,,, +团叶杜鹃,Rhododendron orbiculare,广西壮族自治区植物调查队,635,19530601,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00313031.jpg,,,,,,,,,, +山光杜鹃,Rhododendron oreodoxa,国际交换队,870272,19870730,四川省,2500,高山杜鹃灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02055462.jpg,,,,,,,,,, +山光杜鹃,Rhododendron oreodoxa,白水江采集队,5211,20070519,甘肃省,2600,杂木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850162.jpg,,,,,,,,,, +山育杜鹃,Rhododendron oreotrephes,任再金,3689,19930510,四川省,2500,山脚山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055581.jpg,,,,,,,,,, +山育杜鹃,Rhododendron oreotrephes,"韩裕丰,邓坤梅",81-1080,19810710,云南省,3600,亚口平缓处,,无花有果,https://image.cvh.ac.cn/files/l/PE/02055178.jpg,,,,,,,,,, +直枝杜鹃(原变种),Rhododendron orthocladum var. orthocladum,方震东,3月5日,20030604,云南省,4260,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 004222.jpg,,,,,,,,,, +,Rhododendron orthocladum var. orthocladum,"Forrest, George",10481,13-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00010352.jpg,,,,,,,,,, +云上杜鹃,Rhododendron pachypodum,蒋英,12574,19330000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00439749.jpg,,,,,,,,,, +云上杜鹃,Rhododendron pachypodum,姚仲吾,3053,19381001,四川省,,山坡路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00258070.jpg,,,,,,,,,, +绒毛杜鹃,Rhododendron pachytrichum,徐洪贵,3414,19950525,四川省,2300,林中,,,https://image.cvh.ac.cn/files/l/PE/02053997.jpg,,,,,,,,,, +,Rhododendron papillatum,傅国勋,941,19600723,西藏自治区,3150,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069382.jpg,,,,,,,,,, +乳突杜鹃,Rhododendron papillatum,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,271,20120730,西藏,,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/BJM/0230286.jpg,,,,,,,,,, +盘萼杜鹃,Rhododendron parmulatum,生态室高原组,10348,19800625,西藏自治区,3650,冷杉林下空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00231742.jpg,,,,,,,,,, +,Rhododendron parmulatum,"Kingdon-Ward, Francis",5875,29-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00001118.jpg,,,,,,,,,, +假单花杜鹃,Rhododendron pemakoense,"李渤生,程树志",5365,19830704,西藏自治区,3800~4200,近山基部高山灌丛中局部优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468187.jpg,,,,,,,,,, +假单花杜鹃,Rhododendron pemakoense,俞德俊,s.n.,19480101,,,植物园栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00257074.jpg,,,,,,,,,, +,Rhododendron pendulum,"李渤生,倪志诚,程树志",6887,19830827,西藏自治区,2300~2400,黄杉林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00439612.jpg,,,,,,,,,, +凸叶杜鹃,Rhododendron pendulum,张林、李星月、张晓严,7-290,20180616,西藏,4185,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023539.jpg,,,,,,,,,, +凸叶杜鹃,Rhododendron pendulum,侯元同,郭成勇,侯春丽,201605159-B-1,20160430,四川省,1810.76,干池内水岸边,灌木,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0024387.jpg,,,,,,,,,, +,Rhododendron phaeochrysum var. phaeochrysum,G.Forrest,16302,191805,西藏自治区,3600~3300,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/542448.jpg,,,,,,,,,, +栎叶杜鹃(原变种),Rhododendron phaeochrysum var. phaeochrysum,Joseph F. Rock,24742,1932,云南; Yunnan,1300,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108218.jpg,,,,,,,,,, +,Rhododendron phaeochrysum var. phaeochrysum,"Forrest, George",14107,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001221.jpg,,,,,,,,,, +,Rhododendron polycladum,覃海宁等,19952,20080817,安徽省,1699,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026171.jpg,,,,,,,,,, +,Rhododendron polycladum,赵魁义,499,19810720,云南省,3150,河滩沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804862.jpg,,,,,,,,,, +,Rhododendron polycladum,"张秀实,任有铣",6203,19580725,四川省,3500,林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00257056.jpg,,,,,,,,,, +多鳞杜鹃,Rhododendron polylepis,"耿玉英,朱大海,李小杰",20070265,20070429,四川省,2400,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02055641.jpg,,,,,,,,,, +多鳞杜鹃,Rhododendron polylepis,白水江采集队,5247,20070519,甘肃省,2650,山坡杂木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850254.jpg,,,,,,,,,, +波密杜鹃,Rhododendron pomense,科考队,790215,19790908,福建省,800,林间杂木林的小路旁,小灌木,,https://image.cvh.ac.cn/files/l/FJIDC/FJIDC011642.jpg,,,,,,,,,, +蜜腺杜鹃,Rhododendron populare,西藏队 黄荣福,580,19790708,西藏自治区,4500,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/85253.jpg,,,,,,,,,, +,Rhododendron populare,"Ludlow, Francis & Sherriff, George",1391,29-Apr-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00001261.jpg,,,,,,,,,, +优秀杜鹃,Rhododendron praestans,冯国楣,6415,19400808,云南省,3100,沟边,杂林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00315726.jpg,,,,,,,,,, +优秀杜鹃,Rhododendron praestans,G. Forrest,18914,19190701,西藏自治区,3300,生山谷松林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00256717.jpg,,,,,,,,,, +复毛杜鹃,Rhododendron preptum,刀志灵,DZL878,20101106,云南,,针阔混交林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1338438.jpg,,,,,,,,,, +,Rhododendron preptum,"Forrest, George",18034,19-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00116420.jpg,,,,,,,,,, +樱草杜鹃,Rhododendron primuliflorum var. primuliflorum,G. Forrest,20465,19210601,云南省,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00256559.jpg,,,,,,,,,, +樱草杜鹃(原变种),Rhododendron primuliflorum var. primuliflorum,方震东,3997,19950714,云南,4500,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008546.jpg,,,,,,,,,, +,Rhododendron primuliflorum var. primuliflorum,王乾、顾健,SCW1537,20200622,四川,3391.2,川西高山栎林,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274261.jpg,,,,,,,,,, +,Rhododendron pronum,G. Forrest,30880,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00257061.jpg,,,,,,,,,, +,Rhododendron pronum,"Forrest, George",23375,23-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001245.jpg,,,,,,,,,, +,Rhododendron proteoides,冯国楣,6615A,19400814,云南省,3800,岩坡,杜鹃丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00314717.jpg,,,,,,,,,, +,Rhododendron proteoides,G. Forrest,16609,19180601,四川省,3940,生岩坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312109.jpg,,,,,,,,,, +,Rhododendron protistum var. giganteum,G. Forrest,19335,19210301,云南省,2750~3030,生林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00256795.jpg,,,,,,,,,, +,Rhododendron protistum var. giganteum,G. Forrest,25969,19241101,,3300,生混交林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00256781.jpg,,,,,,,,,, +,Rhododendron protistum var. protistum,"Forrest, George",16351,18-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00001015.jpg,,,,,,,,,, +,Rhododendron pruniflorum,,2339,19740905,西藏自治区,3800,高山灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/00439019.jpg,,,,,,,,,, +桃花杜鹃,Rhododendron pruniflorum,王可,3481,20190415,河南,72,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1903481.jpg,,,,,,,,,, +陇蜀杜鹃,Rhododendron przewalskii,"Chin-Sung Chang,Heung Soo-Lee,Jeong Ill Jeon et al",SI0110,20040708,四川省,4069,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02106142.jpg,,,,,,,,,, +陇蜀杜鹃,Rhododendron przewalskii,孙学刚等,6521,20060810,甘肃省,3157,,,,https://image.cvh.ac.cn/files/l/PE/02053897.jpg,,,,,,,,,, +柔毛杜鹃,Rhododendron pubescens,中国科学院西南综考队川接壤分队,977,19650920,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02056762.jpg,,,,,,,,,, +柔毛杜鹃,Rhododendron pubescens,中国科学院西南综考队川接壤分队,202,19650509,云南省,2950,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02056763.jpg,,,,,,,,,, +,Rhododendron pudorosum,青藏队植被组,3655,19750604,西藏自治区,3500,Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518711.jpg,,,,,,,,,, +,Rhododendron pudorosum,青藏队,6440,19820511,云南省,3600~3700,山坡云杉林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312192.jpg,,,,,,,,,, +矮小杜鹃,Rhododendron pumilum,"程树志,李渤生",150,19820816,西藏自治区,4200,山顶部 北坡 局部成优势,,有花有果,https://image.cvh.ac.cn/files/l/PE/01468188.jpg,,,,,,,,,, +矮小杜鹃,Rhododendron pumilum,杨竞生,84-658,19840722,云南省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1267067.jpg,,,,,,,,,, +腋花杜鹃,Rhododendron racemosum,,151,19650427,云南省,250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055650.jpg,,,,,,,,,, +腋花杜鹃,Rhododendron racemosum,中国科学院西南综考队川接壤分队,723,19650911,四川省,2600,阴坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055649.jpg,,,,,,,,,, +,Rhododendron radendum,"郎楷永,李良千,费勇",936,19820808,四川省,3400,高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00313154.jpg,,,,,,,,,, +毛叶杜鹃,Rhododendron radendum,W.C.Cheng,921,1930.5.19.,四川,3040,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0002515.jpg,,,,,,,,,, +,Rhododendron ramipilosum,,76-415,19760720,西藏自治区,,高山灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/00438997.jpg,,,,,,,,,, +长轴杜鹃,Rhododendron ramsdenianum,高连明,蔡兆明,GLM-123502,20120626,西藏自治区,2312,常绿阔叶林,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1241307.jpg,,,,,,,,,, +长轴杜鹃,Rhododendron ramsdenianum,"朱鑫鑫, 王君, 林庶",ZXX191735,20191207,云南,1475,亚热带常绿阔叶林,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483536.jpg,,,,,,,,,, +,Rhododendron ramsdenianum,"Kingdon-Ward, Francis",6284,19-Oct-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00001051.jpg,,,,,,,,,, +,Rhododendron rex subsp. fictolacteum,,C102,19600530,四川省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00439792.jpg,,,,,,,,,, +,Rhododendron rex subsp. fictolacteum,J. F. Rock,8963,19230601,云南省,,高山地区,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315606.jpg,,,,,,,,,, +,Rhododendron rex subsp. rex,"Maire, Edouard-Ernest",s.n.,11-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00001350.jpg,,,,,,,,,, +,Rhododendron rhombifolium,李延辉,4981,19640501,云南省,2400,山顶疏林湿润,,有花无果,https://image.cvh.ac.cn/files/l/PE/01649502.jpg,,,,,,,,,, +菱形叶杜鹃,Rhododendron rhombifolium,"刘成, 王苏化, 朱迪恩, 李先耀",12CS4356,20120417,云南,,常绿阔叶林林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338486.jpg,,,,,,,,,, +,Rhododendron rhombifolium,"Yü, Tse-tsun",20581,8-Oct-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00314431.jpg,,,,,,,,,, +,Rhododendron rothschildii,G. Forrest,25717,19240601,云南省,3640~3940,杜鹃林中或混交林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00257911.jpg,,,,,,,,,, +,Rhododendron rothschildii,"Forrest, George",30528,1931,,,,,,https://image.cvh.ac.cn/files/l/E/E00010402.jpg,,,,,,,,,, +卷叶杜鹃,Rhododendron roxieanum var. roxieanum,T.Marczewski etc.,139,,云南省 ,3736,"Other Rhododendron species in subsection Taliensia in close proximity: R.beesianum, R.clementinae, R.traillianum",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1248597.jpg,,,,,,,,,, +卷叶杜鹃,Rhododendron roxieanum var. roxieanum,T.Marczewski etc.,158,,云南省,4087,"Other Rhododendron species in subsection Taliensia in close proximity: R.aganniphum, R.beesianum, R.phaeochrysum",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1248598.jpg,,,,,,,,,, +,Rhododendron rubiginosum var. ptilostylum,冯国楣,21443,19550907,云南省,3300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00266478.jpg,,,,,,,,,, +红棕杜鹃(原变种),Rhododendron rubiginosum var. rubiginosum,白洪兵、海仙,5333241812011059LY,20181201,云南,3249,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009658.jpg,,,,,,,,,, +,Rhododendron rubiginosum var. rubiginosum,"Forrest, George",15761,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00010215.jpg,,,,,,,,,, +,Rhododendron rubiginosum var. rubiginosum,王乾、顾健,SCW1438,20200624,四川,3616,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274841.jpg,,,,,,,,,, +红背杜鹃,Rhododendron rufescens,Chen Ze Ying,112718,19800606,四川省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01547529.jpg,,,,,,,,,, +黄毛杜鹃,Rhododendron rufum,"A.Aiello,K.Bachtell,M.Scanlon,K.Wang,X.Sun",NACPEC05-084,20050310,甘肃省,2865,mesic deciduous forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/02055645.jpg,,,,,,,,,, +黄毛杜鹃,Rhododendron rufum,Chen Ze Ying,112268,19800513,四川省,3650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01547247.jpg,,,,,,,,,, +多色杜鹃(原变种),Rhododendron rupicola var. rupicola,方震东,574,19880523,云南省,3530,云冷杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 004127.jpg,,,,,,,,,, +多色杜鹃(原变种),Rhododendron rupicola var. rupicola,冯正波 张超,990411,19990922,四川省,3900,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005523.jpg,,,,,,,,,, +,Rhododendron rupicola var. rupicola,"Forrest, George",12581,14-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00010175.jpg,,,,,,,,,, +紫蓝杜鹃,Rhododendron russatum,赵裕章,21998,19390101,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00314090.jpg,,,,,,,,,, +怒江杜鹃,Rhododendron saluenense var. saluenense,方震东、谢爱芳、海仙、李红,DJDC-557,20160623,云南省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000202.jpg,,,,,,,,,, +血红杜鹃,Rhododendron sanguineum var. sanguineum,俞德浚,19306,19380711,云南省,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00264778.jpg,,,,,,,,,, +血红杜鹃,Rhododendron sanguineum var. sanguineum,李红、白洪兵,533324180901652LY,20180901,云南,3299,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009223.jpg,,,,,,,,,, +,Rhododendron sanguineum var. sanguineum,"Rock, Joseph Francis Charles",22203,May-32,,,,,,https://image.cvh.ac.cn/files/l/E/E00001089.jpg,,,,,,,,,, +石峰杜鹃,Rhododendron scopulorum,"李渤生,程树志",4058,19830414,西藏自治区,1500,林内时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537209.jpg,,,,,,,,,, +石峰杜鹃,Rhododendron scopulorum,"拉穷, 西落",ZhongY488,20090605,西藏,,云杉原始林,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338526.jpg,,,,,,,,,, +,Rhododendron scopulorum,"Kingdon-Ward, Francis",6354,24-Dec,,,,,,https://image.cvh.ac.cn/files/l/E/E00010129.jpg,,,,,,,,,, +,Rhododendron selense subsp. jucundum,王汉臣,1532,19411001,云南省,,山顶,,无花无果,https://image.cvh.ac.cn/files/l/PE/00313909.jpg,,,,,,,,,, +,Rhododendron selense subsp. jucundum,"Forrest, George",4148,6-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001173.jpg,,,,,,,,,, +,Rhododendron selense subsp. selense,"Kingdon-Ward, Francis",437,13-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001161.jpg,,,,,,,,,, +圆头杜鹃,Rhododendron semnoides,"李渤生,程树志",1837,19821120,西藏自治区,3100~3300,高山云杉林下优势种,,无花无果,https://image.cvh.ac.cn/files/l/PE/00312853.jpg,,,,,,,,,, +圆头杜鹃,Rhododendron semnoides,青藏队,6803,19820524,云南省,3500,山坡云杉林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00266555.jpg,,,,,,,,,, +,Rhododendron setiferum,王启无,64950,19350804,云南省,3000,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00267815.jpg,,,,,,,,,, +刚刺杜鹃,Rhododendron setiferum,J.F. Rock,10253,1923,西藏; Southeastern Tib,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108386.jpg,,,,,,,,,, +刚毛杜鹃,Rhododendron setosum,PE-西藏队,2660,20130706,西藏自治区,4549,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02289929.jpg,,,,,,,,,, +刚毛杜鹃,Rhododendron setosum,,Q39,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01571667.jpg,,,,,,,,,, +红钟杜鹃,Rhododendron sherriffii,高连明,蔡兆明,GLM-102842,20100528,西藏自治区,3400,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241022.jpg,,,,,,,,,, +,Rhododendron sherriffii,"Ludlow, Francis & Sherriff, George",1390,29-Apr-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00010454.jpg,,,,,,,,,, +,Rhododendron shweliense,G. Forrest,18151,19190601,云南省,3030~3300,生悬崖和岩坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00312799.jpg,,,,,,,,,, +,Rhododendron shweliense,"Forrest, George",18151,19-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00010238.jpg,,,,,,,,,, +,Rhododendron sidereum,生态室高原组,14052,19800807,西藏自治区,2400,山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495747.jpg,,,,,,,,,, +,Rhododendron sidereum,G. Forrest,17860,19190401,,3030~3640,In thickets and forest,,无花无果,https://image.cvh.ac.cn/files/l/PE/00266491.jpg,,,,,,,,,, +,Rhododendron sidereum,Farrer,872,19190428,云南省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00266487.jpg,,,,,,,,,, +锈叶杜鹃,Rhododendron siderophyllum,"耿玉英,朱大海,李小杰",20070103,20070421,四川省,1800,山谷河边林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054161.jpg,,,,,,,,,, +锈叶杜鹃,Rhododendron siderophyllum,R.P.Soulie.,1013,18950505,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043016.jpg,,,,,,,,,, +川西杜鹃,Rhododendron sikangense,,726,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00439809.jpg,,,,,,,,,, +川西杜鹃,Rhododendron sikangense,蒋兴麟,熊济华,34564,1953.6.21.,四川,2800公尺,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0002535.jpg,,,,,,,,,, +川西杜鹃,Rhododendron sikangense,"高连明,刘杰",GLM-081228,20080611,云南省,4100,高山杜鹃灌丛,,,https://image.cvh.ac.cn/files/l/KUN/1272925.jpg,,,,,,,,,, +凸尖杜鹃,Rhododendron sinogrande,青藏队植被组,3249,19740916,西藏自治区,2700,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01571677.jpg,,,,,,,,,, +凸尖杜鹃,Rhododendron sinogrande,,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01495752.jpg,,,,,,,,,, +凸尖杜鹃,Rhododendron sinogrande,780植被组,553,19781123,云南省,2800,沟谷林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01490155.jpg,,,,,,,,,, +,Rhododendron sinosimulans,"Forrest, George",20428,21-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001201.jpg,,,,,,,,,, +白碗杜鹃,Rhododendron souliei,陈伟烈等,6281,19840615,四川省,3500,河边灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804833.jpg,,,,,,,,,, +白碗杜鹃,Rhododendron souliei,青藏队植被组,3443,19740926,西藏自治区,3850,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01518702.jpg,,,,,,,,,, +,Rhododendron sperabiloides,冯国楣,3573,19400430,云南省,2600,沟边,杂林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00314043.jpg,,,,,,,,,, +糠秕杜鹃,Rhododendron sperabiloides,,20003,19210700,西藏自治区,3965,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0485976.jpg,,,,,,,,,, +,Rhododendron sphaeroblastum,G. Forrest,16377,19180601,四川省,3300~3640,岩坡灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00312774.jpg,,,,,,,,,, +,Rhododendron sphaeroblastum,刘,1078,19520529,云南省,400,石山,,无花有果,https://image.cvh.ac.cn/files/l/PE/00312334.jpg,,,,,,,,,, +爆杖花,Rhododendron spinuliferum,"H.Li,S.X.Yang,R.Li etc.",697,20021106,云南省,2530,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233874.jpg,,,,,,,,,, +爆杖花,Rhododendron spinuliferum,攀枝花苏铁考察队(杨永等),233,20100711,四川省,2253,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02106120.jpg,,,,,,,,,, +,Rhododendron stenaulum,王启无,66969,19351001,云南省,2000,生林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00312829.jpg,,,,,,,,,, +,Rhododendron stenaulum,G. Forrest,26418,19250401,,2750,山上林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00268437.jpg,,,,,,,,,, +多趣杜鹃,Rhododendron stewartianum,,A205,19600523,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00439851.jpg,,,,,,,,,, +多趣杜鹃,Rhododendron stewartianum,青藏队,6793,19820504,云南省,3400~3600,山坡,竹林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315868.jpg,,,,,,,,,, +,Rhododendron strigillosum var. monosematum,,1072,19590602,四川省,2900,林间,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056728.jpg,,,,,,,,,, +紫斑杜鹃,Rhododendron strigillosum var. monosematum,杨增宏,86-0867,19860423,云南省,2100,沟边,杂林中,竹林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1257230.jpg,,,,,,,,,, +芒刺杜鹃,Rhododendron strigillosum var. strigillosum,胡文光,8269,19461105,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00266485.jpg,,,,,,,,,, +芒刺杜鹃,Rhododendron strigillosum var. strigillosum,张英伯,581,19401101,云南省,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00258833.jpg,,,,,,,,,, +硫黄杜鹃,Rhododendron sulfureum,蒋英,11545,19330000,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00439932.jpg,,,,,,,,,, +硫黄杜鹃,Rhododendron sulfureum,G. Forrest,27622,19251101,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00268614.jpg,,,,,,,,,, +白喇叭杜鹃,Rhododendron taggianum,"X.H.Jin,Y.S.Chen,H.Q.Li etc.",DLJ-ET1525,20080707,云南省,900,evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233709.jpg,,,,,,,,,, +白喇叭杜鹃,Rhododendron taggianum,"李渤生,程树志",4383,19830429,西藏自治区,2300~2400,常绿林树上偶见附生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537208.jpg,,,,,,,,,, +白喇叭杜鹃,Rhododendron taggianum,W.P.Fang,,19350000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0527620.jpg,,,,,,,,,, +大理杜鹃,Rhododendron taliense,J. F. Rock,17106,19280701,云南省,4150,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00315620.jpg,,,,,,,,,, +光柱杜鹃,Rhododendron tanastylum var. tanastylum,,,19780621,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/066919.jpg,,,,,,,,,, +光柱杜鹃(原变种),Rhododendron tanastylum var. tanastylum,李红、和仕波,533324180830599LY,20180830,云南,1924,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009233.jpg,,,,,,,,,, +光柱杜鹃(原变种),Rhododendron tanastylum var. tanastylum,庄平 张超 冯正波,251,20000924,,2700,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005564.jpg,,,,,,,,,, +,Rhododendron tapetiforme,赵魁义,789,19810824,云南省,4220,高山沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804861.jpg,,,,,,,,,, +,Rhododendron tapetiforme,张经炜,1180,19730822,西藏自治区,4550,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01518968.jpg,,,,,,,,,, +,Rhododendron tatsienense var. nudatum,"李文华,胡勇",81-024,19810526,云南省,30,高山松疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056733.jpg,,,,,,,,,, +,Rhododendron tatsienense var. tatsienense,"Forrest, George",15208,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00327516.jpg,,,,,,,,,, +,Rhododendron telmateium,Chin-Sung Chang et al.,SI0069,20040707,四川省,4091,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055453.jpg,,,,,,,,,, +,Rhododendron telmateium,北京所横断山队,2887,19810810,云南省,3900~4100,高山流石滩 常见灌丛斑块,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487874.jpg,,,,,,,,,, +,Rhododendron temenium var. temenium,"Forrest, George",16702,18-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001119.jpg,,,,,,,,,, +,Rhododendron tenuifolium,青藏队,74-3940,19740801,西藏自治区,3000,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00267430.jpg,,,,,,,,,, +,Rhododendron tenuifolium,"韩裕丰,邓坤梅,陈永瑞",81-1403,19810729,云南省,3190,箭竹、云-冷杉林,,无花无果,https://image.cvh.ac.cn/files/l/PE/00257288.jpg,,,,,,,,,, +灰背杜鹃,Rhododendron tephropeplum,"李渤生,程树志",5032,19830614,西藏自治区,2150,近江边 林缘灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01537200.jpg,,,,,,,,,, +灰背杜鹃,Rhododendron tephropeplum,青藏队,7254,19820610,云南省,2600,山坡铁杉林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00315874.jpg,,,,,,,,,, +灰背杜鹃,Rhododendron tephropeplum,G. Forrest,27455,19241001,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00268885.jpg,,,,,,,,,, +千里香杜鹃,Rhododendron thymifolium,,6,,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00439933.jpg,,,,,,,,,, +千里香杜鹃,Rhododendron thymifolium,姚仲吾,3981,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00439934.jpg,,,,,,,,,, +千里香杜鹃,Rhododendron thymifolium,河西队,192,19640621,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00439926.jpg,,,,,,,,,, +,Rhododendron traillianum var. traillianum,高连明,张志荣,GLM-092454,20090525,云南省,2990,高山灌丛,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1240901.jpg,,,,,,,,,, +,Rhododendron traillianum var. traillianum,"Forrest, George",5870,10-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001235.jpg,,,,,,,,,, +,Rhododendron trichanthum,,28,19740616,四川省,3100,沟谷山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01781317.jpg,,,,,,,,,, +,Rhododendron trichanthum,青藏队,7541,19820625,云南省,2400,山坡,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00269065.jpg,,,,,,,,,, +糙毛杜鹃,Rhododendron trichocladum,"高宝纯,郭友好,谭仲明",111335,19740429,四川省,3200,山坡,松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315431.jpg,,,,,,,,,, +糙毛杜鹃,Rhododendron trichocladum,滇西北金沙江队,4091,19630525,云南省,3260,杜鹃林缘,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00314425.jpg,,,,,,,,,, +,Rhododendron trichostomum var. ledoides,俞德浚,5993,19370609,四川省,3000,among thickets on open slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/546619.jpg,,,,,,,,,, +,Rhododendron trichostomum var. ledoides,俞德浚,5243,19370502,云南省,3000,under pine forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/546624.jpg,,,,,,,,,, +,Rhododendron trichostomum var. radinum,俞德浚,11570,19380604,云南省,2800,山谷中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/546628.jpg,,,,,,,,,, +,Rhododendron trichostomum var. radinum,G.Forrest,20476,192106,四川省,3900~3600,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/546638.jpg,,,,,,,,,, +,Rhododendron trichostomum var. trichostomum,四川省植被调察队,稻2240,19730625,四川省,4450,高山栎林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/546551.jpg,,,,,,,,,, +三花杜鹃,Rhododendron triflorum,毛建丰,2005010,20050430,西藏自治区,3327,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055042.jpg,,,,,,,,,, +三花杜鹃,Rhododendron triflorum,白水江考察队,824,20060630,甘肃省,3300,山顶冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01359545.jpg,,,,,,,,,, +,Rhododendron trilectorum,"李渤生,程树志",5359,19830704,西藏自治区,3800,高山,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00269319.jpg,,,,,,,,,, +,Rhododendron tsariense,PE西藏考察队,7134,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333721.jpg,,,,,,,,,, +白钟杜鹃,Rhododendron tsariense,"扎西次仁, 拉穷, 西落",ZhongY516,20090501,西藏,,针阔混交林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338626.jpg,,,,,,,,,, +,Rhododendron tsariense,"Ludlow, Francis & Sherriff, George",1636,21-May-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00001410.jpg,,,,,,,,,, +单花杜鹃,Rhododendron uniflorum,青藏队,74-3800,19740731,西藏自治区,3250,山坡灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00269324.jpg,,,,,,,,,, +单花杜鹃,Rhododendron uniflorum,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11832,20161111,西藏,,高山碎石坡杜鹃灌丛下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1441143.jpg,,,,,,,,,, +,Rhododendron uvariifolium,"覃海宁,董仕勇,康云等",264,20010810,西藏自治区,2900~3200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02054009.jpg,,,,,,,,,, +,Rhododendron uvariifolium,刘,640,,云南省,,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00314074.jpg,,,,,,,,,, +,Rhododendron uvariifolium,刘,s.n.,19480101,,,植物园栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312742.jpg,,,,,,,,,, +越桔杜鹃,Rhododendron vaccinioides,青藏队植被组,2775,19740825,西藏自治区,2180,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01793053.jpg,,,,,,,,,, +越桔杜鹃,Rhododendron vaccinioides,780植被组,681,19781203,云南省,2400,附生树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486193.jpg,,,,,,,,,, +越桔杜鹃,Rhododendron vaccinioides,"李中提,陈永昌",600102,19571122,广西壮族自治区,1340,山地,岩石上,山顶,阳处,丛生,,无花无果,https://image.cvh.ac.cn/files/l/PE/00313533.jpg,,,,,,,,,, +白毛杜鹃,Rhododendron vellereum,张经炜,1411,19730702,西藏自治区,3300,西北坡,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01838942.jpg,,,,,,,,,, +白毛杜鹃,Rhododendron vellereum,冯国楣,23254,19590825,云南省,3500,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00313801.jpg,,,,,,,,,, +毛柱杜鹃,Rhododendron venator,空,空,1935.5.10.,-,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0002552.jpg,,,,,,,,,, +毛柱杜鹃,Rhododendron venator,方震东、和光、杨亲二,XZ-189,20070922,西藏自治区,3089,林芝云杉林下,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 002479.jpg,,,,,,,,,, +,Rhododendron venator,"Kingdon-Ward, Francis",6285,19-Nov-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00001281.jpg,,,,,,,,,, +亮叶杜鹃,Rhododendron vernicosum,任再金,3786,19930525,四川省,3300,山坡公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054007.jpg,,,,,,,,,, +亮叶杜鹃,Rhododendron vernicosum,"韩裕丰,邓坤梅,黄晓鹤",83-60,19830702,云南省,3860,冷杉林下,,,https://image.cvh.ac.cn/files/l/PE/02053900.jpg,,,,,,,,,, +,Rhododendron vesiculiferum,俞德俊,19650,19370805,云南省,2500,混交林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00269585.jpg,,,,,,,,,, +柳条杜鹃,Rhododendron virgatum,"西藏东部,张经炜,王金亭",8,19660403,西藏自治区,3000~3500,林下 杂生林下(路旁),,无花无果,https://image.cvh.ac.cn/files/l/PE/01781318.jpg,,,,,,,,,, +柳条杜鹃,Rhododendron virgatum,王汉臣,4334,19440518,云南省,,半山,,无花有果,https://image.cvh.ac.cn/files/l/PE/00315274.jpg,,,,,,,,,, +,Rhododendron viridescens,西藏中草药普查队,4069,19720717,西藏自治区,4800~5000,山坡山顶处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01793054.jpg,,,,,,,,,, +显绿杜鹃,Rhododendron viridescens,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,360,20120730,西藏,,高山灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230292.jpg,,,,,,,,,, +铜色杜鹃,Rhododendron viscidifolium,庄平 冯正波 张超,97,20000917,云南省 ,3000,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005715.jpg,,,,,,,,,, +簇毛杜鹃,Rhododendron wallichii,"李渤生,程树志,倪志诚",5980,19830728,西藏自治区,3900,Abies林下时见 灌木,,无花有果,https://image.cvh.ac.cn/files/l/PE/01537247.jpg,,,,,,,,,, +簇毛杜鹃,Rhododendron wallichii,俞德俊,s.n.,19480501,,,植物园栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312010.jpg,,,,,,,,,, +,Rhododendron wardii var. puralbum,俞德俊,6220,19370613,四川省,3500~3800,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315574.jpg,,,,,,,,,, +,Rhododendron wardii var. puralbum,G. Forrest,12698,19140701,云南省,4240,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00228919.jpg,,,,,,,,,, +黄杯杜鹃,Rhododendron wardii var. wardii,方震东,20-198,19990808,云南,3400,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG008664.jpg,,,,,,,,,, +,Rhododendron wardii var. wardii,"Forrest, George",16511,18-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001341.jpg,,,,,,,,,, +黄杯杜鹃(原变种),Rhododendron wardii var. wardii,谢登峰、蔡竞、秦换换,SC-00-014-A-008,20200825,四川,2588.34m,灌丛草原,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02064022.jpg,,,,,,,,,, +褐毛杜鹃,Rhododendron wasonii,Mclaren,20nullZnull,,四川省,,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315080.jpg,,,,,,,,,, +褐毛杜鹃,Rhododendron wasonii,俞德俊,s.n.,19480101,,,植物园栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00269852.jpg,,,,,,,,,, +无柄杜鹃,Rhododendron watsonii,王文广等,2334,20140716,四川省,2540~3200,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01918936.jpg,,,,,,,,,, +无柄杜鹃,Rhododendron watsonii,白水江采集队,5386,20070525,甘肃省,2800,高山杜鹃丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850153.jpg,,,,,,,,,, +宏钟杜鹃,Rhododendron wightii,PE西藏考察队,7091,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333718.jpg,,,,,,,,,, +宏钟杜鹃,Rhododendron wightii,"何华杰|6148, 张书东|5435",81334,20080923,西藏,,林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1338660.jpg,,,,,,,,,, +皱皮杜鹃,Rhododendron wiltonii,"朱大海,冯正波,张超等",20070720,20070606,四川省,2300,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02054008.jpg,,,,,,,,,, +,Rhododendron xanthocodon,高连明,马朋飞,蔡兆明,GLM-102670,20100517,四川省,3880,高山杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1240984.jpg,,,,,,,,,, +,Rhododendron xanthocodon,高连明,马朋飞,蔡兆明,GLM-102770,20100525,西藏自治区,3640,山坡杂木林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1240985.jpg,,,,,,,,,, +鲜黄杜鹃,Rhododendron xanthostephanum,"李渤生,程树志等",1304,19821013,西藏自治区,2650,铁杉林缘时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537228.jpg,,,,,,,,,, +鲜黄杜鹃,Rhododendron xanthostephanum,"川西队,关克俭,王文采等",768,19630719,四川省,3600,山坡,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/00315627.jpg,,,,,,,,,, +鲜黄杜鹃,Rhododendron xanthostephanum,J. F. Rock,8474,19230101,云南省,,高山,,无花有果,https://image.cvh.ac.cn/files/l/PE/00315619.jpg,,,,,,,,,, +少鳞杜鹃,Rhododendron yungchangense,亚吉东,韩周东,谭治刚,20CS18976,20200412,云南,2083,季风常绿阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505627.jpg,,,,,,,,,, +,Rhododendron yunnanense,青藏队,13512,19830830,四川省,2700,沟山沟铁松林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02056737.jpg,,,,,,,,,, +,Rhododendron yunnanense,秦仁昌,23680,19290818,云南省,2700,丛林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00314950.jpg,,,,,,,,,, +毛叶白面杜鹃,Rhododendron zaleucum var. pubifolium,"高连明,张志荣",GLM-092509,20090526,云南省,3290,高山灌丛(杜鹃、箭竹),,,https://image.cvh.ac.cn/files/l/KUN/1273378.jpg,,,,,,,,,, +,Rhododendron zaleucum var. pubifolium,G.Forrest,26979,192506,,3900~3600,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/548822.jpg,,,,,,,,,, +白面杜鹃(原变种),Rhododendron zaleucum var. zaleucum,庄平 冯正波 张超,20021043,20021003,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005656.jpg,,,,,,,,,, +,Rhododendron zaleucum var. zaleucum,"Forrest, George",17593,18-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00010070.jpg,,,,,,,,,, +,Rhododendron zheguense,"李馨,周继西",74361,19570902,四川省,3800,山顶杜鹃林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00314752.jpg,,,,,,,,,, +鹧鸪杜鹃,Rhododendron zheguense,鞠文彬,张良,陈德奎,AZH01370,20160617,四川,3834,山顶石砾草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0235748.jpg,,,,,,,,,, +绒毛红花荷,Rhodoleia forrestii,青藏队,7094,19820609,云南省,2300,山坡 常绿阔叶 林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01109877.jpg,,,,,,,,,, +绒毛红花荷,Rhodoleia forrestii,H.T.Tsai,54912,19331025,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0329976.jpg,,,,,,,,,, +,Rhomboda moulmeinensis,"刘恩德, 邹娇, 董洪进, 肖波, 周天, 赵晨光, 陈志坚",LED9277,20191212,云南,1274,山地林中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1495449.jpg,,,,,,,,,, +艳丽齿唇兰,Rhomboda moulmeinensis,鞠文彬,邓亨宁 ,HGX13305,20130912,四川省,,林下,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0234707.jpg,,,,,,,,,, +艳丽菱兰,Rhomboda moulmeinensis,李克纲、张成,LS20160315_0002,20160315,湖南,411,林下,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU46232.jpg,,,,,,,,,, +盾片蛇菰,Rhopalocnemis phalloides,高天刚,1367,19980607,云南省,2000,山脊林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100321.jpg,,,,,,,,,, +盾片蛇菰,Rhopalocnemis phalloides,左景烈,23369,19330720,广西壮族自治区,500,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0383250.jpg,,,,,,,,,, +盐肤木,Rhus chinensis,高天刚,1654,19980524,云南省,1650,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245933.jpg,,,,,,,,,, +盐肤木,Rhus chinensis,Harry Smith,13390,19341113,四川省,1600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245857.jpg,,,,,,,,,, +盐肤木,Rhus chinensis,夏江林,211,19950525,湖南省,350,灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245856.jpg,,,,,,,,,, +喙花姜,Rhynchanthus beesianus,云南考察队金效华等,YN-ET795,20090624,云南省,1900,树上附生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01314816.jpg,,,,,,,,,, +喙花姜,Rhynchanthus beesianus,George Forrest.,8108,1912,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005282.jpg,,,,,,,,,, +尖舌苣苔,Rhynchoglossum obliquum,刘方谱,lfp2017020,20170912,云南省,1863,公路边石壁下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115686.jpg,,,,,,,,,, +尖舌苣苔,Rhynchoglossum obliquum,,991115,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088175.jpg,,,,,,,,,, +,Rhynchosia dielsii,川黔队,723,19560622,重庆市,300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083736.jpg,,,,,,,,,, +,Rhynchosia dielsii,巴山采集队,5433,20110704,四川省,1100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01893966.jpg,,,,,,,,,, +,Rhynchosia dielsii,洪广渝,4144,20100731,陕西省,995,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873184.jpg,,,,,,,,,, +,Rhynchosia minima,H.Ohashi et al.,7108,,海南省,320~350,On roadside,,无花无果,https://image.cvh.ac.cn/files/l/PE/01841305.jpg,,,,,,,,,, +,Rhynchosia minima,,5987,19580000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01723588.jpg,,,,,,,,,, +,Rhynchosia minima,王秋美,W01186,19940910,台湾省,5,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01606527.jpg,,,,,,,,,, +,Rhynchosia yunnanensis,M.Iabbe Farges,3511,18881023,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922576.jpg,,,,,,,,,, +,Rhynchosia yunnanensis,青藏队,13354,19830825,四川省,2000,田正大队雅袭江边灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00327766.jpg,,,,,,,,,, +,Rhynchosia yunnanensis,M.Iabbe Delavay,3511,18880823,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1230069.jpg,,,,,,,,,, +椭圆线柱苣苔,Rhynchotechum ellipticum,South Tibet Expedition Team(STET),STET1949,20100802,西藏自治区,800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02108287.jpg,,,,,,,,,, +椭圆线柱苣苔,Rhynchotechum ellipticum,李鹏伟,LPW2013145,20130918,云南省,1400,溪边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02025280.jpg,,,,,,,,,, +椭圆线柱苣苔,Rhynchotechum ellipticum,李鹏伟,LPW2014048,20140710,广西壮族自治区,137,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02025281.jpg,,,,,,,,,, +毛线柱苣苔,Rhynchotechum vestitum,South Tibet Expedition Team(STET),STET1945,20100802,西藏自治区,800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02108286.jpg,,,,,,,,,, +毛线柱苣苔,Rhynchotechum vestitum,PT-ET(Putao Expedition Team): Xiaohua JIN et al.,PT-ET 1202,20141023,,1400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02108284.jpg,,,,,,,,,, +毛线柱苣苔,Rhynchotechum vestitum,李鹏伟,LPW2012013,20120828,云南省,1300,林下草丛中,附近有溪水,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909874.jpg,,,,,,,,,, +大刺茶藨子,Ribes alpestre var. giganteum,,7065,19740621,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00679894.jpg,,,,,,,,,, +大刺茶藨子,Ribes alpestre var. giganteum,,215,19640703,青海省,3600~3700,山地坡麓阳处,,无花无果,https://image.cvh.ac.cn/files/l/PE/00679882.jpg,,,,,,,,,, +大刺茶藨子,Ribes alpestre var. giganteum,,3885,19180618,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00679877.jpg,,,,,,,,,, +华茶藨子,Ribes fasciculatum var. chinense,"闫庆山,刘长江",169,19570529,山东省,880,林下 水旁 阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01812380.jpg,,,,,,,,,, +华茶藨子,Ribes fasciculatum var. chinense,Kobuski,3695,19310504,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01666571.jpg,,,,,,,,,, +华茶藨子,Ribes fasciculatum var. chinense,鄂神农架队,20918,19760621,湖北省,850,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00996766.jpg,,,,,,,,,, +陕西茶藨子,Ribes giraldii,老铁山采集队,12060252,20080815,辽宁省,141,阳坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01899415.jpg,,,,,,,,,, +陕西茶藨子,Ribes giraldii,L.Z.Wang,90,19880503,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01794391.jpg,,,,,,,,,, +陕西茶藨子,Ribes giraldii,,9,19620000,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01609280.jpg,,,,,,,,,, +,Ribes glaciale f. hirsutum,青藏队,10606,19820925,西藏自治区,3700,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01975982.jpg,,,,,,,,,, +,Ribes griffithii var. griffithii,李红、白洪兵,533324180426116LY,20180426,云南,3071,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009379.jpg,,,,,,,,,, +糖茶藨子,Ribes himalense var. himalense,李红,李磊,和凤光,史效武,BG-26,20091007,云南省,3700,碧沽天池,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 006264.jpg,,,,,,,,,, +糖茶藨子,Ribes himalense var. himalense,方震东、方晔,HP-1321,20180427,云南,3076,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009637.jpg,,,,,,,,,, +异毛茶藨子,Ribes himalense var. trichophyllum,赵清盛,1428,19890728,四川省,3000,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00861401.jpg,,,,,,,,,, +矮醋粟,Ribes humile,D.E.Bouford et al.,39869,20070816,四川省,3665,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900395.jpg,,,,,,,,,, +矮醋粟,Ribes humile,杨光辉,58429,19580615,重庆市,1000,河边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00861230.jpg,,,,,,,,,, +康边茶藨子,Ribes kialanum,PE西藏队,PE5134,20170826,西藏自治区,4558,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309484.jpg,,,,,,,,,, +康边茶藨子,Ribes kialanum,,56,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00861412.jpg,,,,,,,,,, +康边茶藨子,Ribes kialanum,,50857,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00681102.jpg,,,,,,,,,, +裂叶茶藨子,Ribes laciniatum,PE西藏考察队,7503,20180617,西藏自治区,3821,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332828.jpg,,,,,,,,,, +裂叶茶藨子,Ribes laciniatum,,1088,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00861382.jpg,,,,,,,,,, +腺毛茶藨子,Ribes longiracemosum var. davidii,"刘金鉴,田景全",52,19631008,四川省,2700,路旁 灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093014.jpg,,,,,,,,,, +腺毛茶藨子,Ribes longiracemosum var. davidii,H.T.Tsai,51047,19320618,云南省,2100,"In ravine ,on rock",,无花有果,https://image.cvh.ac.cn/files/l/PE/00681270.jpg,,,,,,,,,, +毛长串茶藨子,Ribes longiracemosum var. pilosum,姜恕等,8826,19600529,云南省,2500,山沟杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01975985.jpg,,,,,,,,,, +紫花茶藨子,Ribes luridum,"李渤生,程树志",855,19820912,西藏自治区,2000~2200,林边常见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/02072991.jpg,,,,,,,,,, +紫花茶藨子,Ribes luridum,H.H.Chung,s.n.,19170710,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01794683.jpg,,,,,,,,,, +紫花茶藨子,Ribes luridum,北疆队,伊旗6,19590718,新疆维吾尔自治区,,平地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01571438.jpg,,,,,,,,,, +尖叶茶藨子,Ribes maximowiczianum,科学院黄河队,甘一队1727,19560722,甘肃省,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02081559.jpg,,,,,,,,,, +尖叶茶藨子,Ribes maximowiczianum,M.Togasi,1276,19560506,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01794955.jpg,,,,,,,,,, +尖叶茶藨子,Ribes maximowiczianum,,865,19630727,吉林省,1520,针叶混交林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01614550.jpg,,,,,,,,,, +门源茶藨,Ribes menyuanense,杨永昌等,1488,19620628,青海省,2800,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/003960.jpg,,,,,,,,,, +天山茶藨子,Ribes meyeri,,249,19640704,青海省,3800,山地阴坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083141.jpg,,,,,,,,,, +天山茶藨子,Ribes meyeri,P.C.Tsoong,718,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01975988.jpg,,,,,,,,,, +天山茶藨子,Ribes meyeri,孙学刚等,2527,20010723,甘肃省,2820,沟谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801022.jpg,,,,,,,,,, +宝兴茶藨子(原变种),Ribes moupinense var. moupinense,方震东、方晔,HP-1343,20180427,云南,2822,绢毛悬钩子/薹草群落,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009636.jpg,,,,,,,,,, +三裂茶藨子,Ribes moupinense var. tripartitum,尹志坚等,1576,20090722,云南省,3250,forest margins,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898387.jpg,,,,,,,,,, +三裂茶藨子,Ribes moupinense var. tripartitum,D.E.Boufford et al.,37744,20070519,甘肃省,2320~2725,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814623.jpg,,,,,,,,,, +三裂茶藨子,Ribes moupinense var. tripartitum,壶瓶山考察队,87422,19870609,湖南省,1690,北坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01561292.jpg,,,,,,,,,, +东方茶藨子,Ribes orientale,PE西藏考察队,7425,20180616,西藏自治区,3635,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332165.jpg,,,,,,,,,, +东方茶藨子,Ribes orientale,泛喜马拉雅植物志巴基斯坦采集队,FPH-0808,20120624,,2575,riverside,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004738.jpg,,,,,,,,,, +东方茶藨子,Ribes orientale,刘尚武,52,19650620,青海省,4500~4600,山坡石堆中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803885.jpg,,,,,,,,,, +青海茶藨子,Ribes pseudofasciculatum,管中天,120426,19600421,四川省,4000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00861578.jpg,,,,,,,,,, +青海茶藨子,Ribes pseudofasciculatum,青藏队那曲分队陶德定,10941,19760817,西藏自治区,3800,"河谷,灌丛",,无花有果,https://image.cvh.ac.cn/files/l/PE/00681923.jpg,,,,,,,,,, +美丽茶藨子,Ribes pulchellum,黄河队,206,19570513,山西省,1700,山坡、山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082220.jpg,,,,,,,,,, +美丽茶藨子,Ribes pulchellum,黄河队,772,19541126,甘肃省,,山坡阴处灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067429.jpg,,,,,,,,,, +美丽茶藨子,Ribes pulchellum,陈又生等,140827,20140724,内蒙古自治区,1441,岩石山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02031118.jpg,,,,,,,,,, +长果茶藨,Ribes stenocarpum,Przewalski,1872,,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01896174.jpg,,,,,,,,,, +长果茶藨,Ribes stenocarpum,"T.N.Ho,B.Bartholomew,M.Watson and M.Gilbert",2458,19960827,青海省,3540,Growin at forest edge,,无花有果,https://image.cvh.ac.cn/files/l/PE/00863448.jpg,,,,,,,,,, +长果茶藨,Ribes stenocarpum,刘红昌,s.n,19550700,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00682089.jpg,,,,,,,,,, +渐尖茶藨子(原变种),Ribes takare var. takare,张挺,刘成,左政裕,姜虹,李昌洪,19CS18346,20190714,四川,2517,沟边阴湿处,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1506425.jpg,,,,,,,,,, +深裂茶藨子,Ribes tenue var. incisum,李 馨,74317,19570901,四川省,3450,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01896175.jpg,,,,,,,,,, +深裂茶藨子,Ribes tenue var. incisum,George Forrest,28615,19300000,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00682436.jpg,,,,,,,,,, +,Ribes tenue var. tenue,"刘成, 张挺, 甘啟良, 李盛兰",17CS15886,20170618,湖北,1151,水杉林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444531.jpg,,,,,,,,,, +小果茶藨子,Ribes vilmorinii,姜恕等,9202,19610704,四川省,3450,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01975978.jpg,,,,,,,,,, +小果茶藨子,Ribes vilmorinii,冯国楣,21053,19551013,云南省,3800,"山谷,灌木丛中,斜坡",,无花无果,https://image.cvh.ac.cn/files/l/PE/00682486.jpg,,,,,,,,,, +西藏茶藨子,Ribes xizangense,PE西藏队,PE6007,20170906,西藏自治区,2935,山谷林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309907.jpg,,,,,,,,,, +,Richteria pyrethroides,"刘成,亚吉东",15CS10195,20150612,新疆维吾尔自治区,1294,公路边碎石坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1375829.jpg,,,,,,,,,, +,Richteria pyrethroides,"亚吉东, 张桥蓉, 胡枭剑",16CS12975,20160604,新疆,1039,碎石坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1453863.jpg,,,,,,,,,, +蓖麻,Ricinus communis,赵佐成,3195,19931008,四川省,940,阳处地边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239616.jpg,,,,,,,,,, +蓖麻,Ricinus communis,"张寿洲,李良千等",1796,20050523,广东省,0~50,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239615.jpg,,,,,,,,,, +紫茎兰,Risleya atropurpurea,金效华,9174,20070805,云南省,3385,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825382.jpg,,,,,,,,,, +紫茎兰,Risleya atropurpurea,"郎楷永,李良千,费勇",312,19820629,四川省,3250,Abies Rho 林下偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01147497.jpg,,,,,,,,,, +紫茎兰,Risleya atropurpurea,"李渤生,程树志,倪志诚",5658,19830720,西藏自治区,3600,Abies 林下时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850848.jpg,,,,,,,,,, +心萼孪果鹤虱,Rochelia cardiosepala,"亚吉东, 张桥蓉, 胡枭剑",16CS13137,20160622,新疆,1113,河边山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1450397.jpg,,,,,,,,,, +心萼孪果鹤虱,Rochelia cardiosepala,B.B.Hnkntnh等,,19750601,,2000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00214280.jpg,,,,,,,,,, +七叶鬼灯檠,Rodgersia aesculifolia,236 四川任务组,897,19710910,四川省,1800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02085358.jpg,,,,,,,,,, +七叶鬼灯檠,Rodgersia aesculifolia,"李渤生,倪志诚,程树志",6702,19830819,西藏自治区,3100,林缘草地时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072980.jpg,,,,,,,,,, +伏毛鬼灯檠,Rodgersia pinnata var. strigosa,青藏队,4348,19810826,四川省,3400,"山坡,杉林下",,无花有果,https://image.cvh.ac.cn/files/l/PE/00864773.jpg,,,,,,,,,, +伏毛鬼灯檠,Rodgersia pinnata var. strigosa,秦仁昌,22676,19290519,云南省,,杂木林内山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00682785.jpg,,,,,,,,,, +光腹鬼灯檠,Rodgersia sambucifolia var. estrigosa,北京所横断山队,2430,19810803,云南省,3100~3700,云冷杉 高山要乐林下常见草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494675.jpg,,,,,,,,,, +光腹鬼灯檠,Rodgersia sambucifolia var. estrigosa,成都生物所植被组,13756,19760714,四川省,2350,常绿与落叶阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00864779.jpg,,,,,,,,,, +高株鹅观草,Roegneria altissima,刘玉红,野试15,19880718,重庆市,1875,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615454.jpg,,,,,,,,,, +高株鹅观草,Roegneria altissima,王启无,66409,19350900,西藏自治区,3400,Pine wood,,有花有果,https://image.cvh.ac.cn/files/l/PE/00039176.jpg,,,,,,,,,, +高株鹅观草,Roegneria altissima,四川植被调查队,3937,1973-9 1,四川省,3000,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0156917.jpg,,,,,,,,,, +毛芒颖鹅观草,Roegneria aristiglumis var. hirsuta,陈家辉,庄会富,刘德团,边巴扎西,YangYP-Q-0015,20080825,西藏,4420,路边沙质草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401390.jpg,,,,,,,,,, +毛芒颖鹅观草,Roegneria aristiglumis var. hirsuta,黄荣福,K-366,19900802,青海省,4900,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0216138.jpg,,,,,,,,,, +光花芒颖鹅观草,Roegneria aristiglumis var. leiantha,陈家辉,庄会富,刘德团,边巴扎西,YangYP-Q-0096,20080830,西藏,4267,路边沙质地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401393.jpg,,,,,,,,,, +光花芒颖鹅观草,Roegneria aristiglumis var. leiantha,"武素功,大场秀章,吴玉虎,费勇",4027,19880812,新疆维吾尔自治区,4280,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/150286.jpg,,,,,,,,,, +光花芒颖鹅观草,Roegneria aristiglumis var. leiantha,黄荣福,CG89-164,19890813,西藏自治区,5300,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/155007.jpg,,,,,,,,,, +毛叶毛盘草,Roegneria barbicalla var. pubifolia,唐进,887,19290529,山西省,1350,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00039183.jpg,,,,,,,,,, +毛叶毛盘草,Roegneria barbicalla var. pubifolia,李保义,无,19870707,内蒙古,1300,林下,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00003443.jpg,,,,,,,,,, +毛叶毛盘草,Roegneria barbicalla var. pubifolia,路端正,无,19900800,黑龙江,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00003445.jpg,,,,,,,,,, +,Roegneria breviglumis var. brevipes,秦志业,10113,19660808,西藏自治区,5100,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0216131.jpg,,,,,,,,,, +,Roegneria breviglumis var. brevipes,玛沁队,495,19740806,青海省,3980,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0216132.jpg,,,,,,,,,, +钙生鹅观草,Roegneria calcicola,张经炜,s.n.,19730700,西藏自治区,,Pinus yunnanenais 林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01484101.jpg,,,,,,,,,, +钙生鹅观草,Roegneria calcicola,刘玉红,23,19860818,重庆市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615467.jpg,,,,,,,,,, +钙生鹅观草,Roegneria calcicola,汤宗孝,902,19810822,云南省,3000,石质平坝草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615468.jpg,,,,,,,,,, +纤毛鹅观草,Roegneria ciliaris,温带森林组,1106,19630812,吉林省,800,路边阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073211.jpg,,,,,,,,,, +纤毛鹅观草,Roegneria ciliaris,黄土高原采集队,2841,19840728,山西省,2200,山坡草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950699.jpg,,,,,,,,,, +纤毛鹅观草,Roegneria ciliaris,刘学忠,30,19550610,北京市,,草地 平原 栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/01827571.jpg,,,,,,,,,, +长芒鹅观草,Roegneria dolichathera,王文中,220,19550826,山西省,1980,丘陵 山坡北,,无花无果,https://image.cvh.ac.cn/files/l/PE/01827622.jpg,,,,,,,,,, +长芒鹅观草,Roegneria dolichathera,"应俊生,洪德元",650726,19650720,西藏自治区,2300,农地边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615520.jpg,,,,,,,,,, +长芒鹅观草,Roegneria dolichathera,"田效文,汤宗孝,张正华",948B,19810825,云南省,,草甸草场山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615517.jpg,,,,,,,,,, +岷山鹅观草,Roegneria dura,"张经炜,郑度",1685,19730824,西藏自治区,4420,山地中部,坡度15度,,有花有果,https://image.cvh.ac.cn/files/l/PE/01484100.jpg,,,,,,,,,, +岷山鹅观草,Roegneria dura,C.W.Wang,68171,19350800,云南省,3300,Grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615584.jpg,,,,,,,,,, +光穗鹅观草,Roegneria glaberrima,"李安仁,朱家楠",5739,19580618,新疆维吾尔自治区,2000,河谷阶地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032715.jpg,,,,,,,,,, +光穗鹅观草,Roegneria glaberrima,陈晓亚,86245,19860727,新疆维吾尔自治区 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/019108348.jpg,,,,,,,,,, +,Roegneria gmelinii,秦仁昌,1261,19560803,新疆维吾尔自治区,,山地 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00601979.jpg,,,,,,,,,, +,Roegneria gmelinii,R.J.Soreng et al.,5157b,19970825,内蒙古自治区,1300,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00601977.jpg,,,,,,,,,, +五龙山鹅观草,Roegneria hondai,刘冰等,631,20070602,北京市,628,阴坡林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01953321.jpg,,,,,,,,,, +五龙山鹅观草,Roegneria hondai,Y.Liu,11869,19290520,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00601999.jpg,,,,,,,,,, +五龙山鹅观草,Roegneria hondai,"关克俭,陈艺林",883,19590713,山西省,,山坡路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00601997.jpg,,,,,,,,,, +矮鹅观草,Roegneria humilis,新疆队,1867,19740826,新疆维吾尔自治区,630,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/44927.jpg,,,,,,,,,, +矮鹅观草,Roegneria humilis,新疆队,2120,19740905,新疆维吾尔自治区 ,1100,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/44982.jpg,,,,,,,,,, +矮鹅观草,Roegneria humilis,无,,19590602,青海,,,,无花无果,https://image.cvh.ac.cn/files/l/LZD/LZD0001746.jpg,,,,,,,,,, +杂交鹅观草,Roegneria hybrida,汤宗孝,945,19830606,四川省,2250,耕地岩石边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645877.jpg,,,,,,,,,, +杂交鹅观草,Roegneria hybrida,俞译华,3,19560507,江苏省,,林业学校山上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00039210.jpg,,,,,,,,,, +杂交鹅观草,Roegneria hybrida,赵南先,214,1988-05-,安徽省,10~1,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0126658.jpg,,,,,,,,,, +低株鹅观草,Roegneria jacquemontii,"吴征镒,杜庆",75-487,19750703,西藏自治区,3900,冲积扇石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00039211.jpg,,,,,,,,,, +普兰鹅观草,Roegneria jacquemontii,黄荣福,CG86-103,19860829,新疆维吾尔自治区,3700,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/134006.jpg,,,,,,,,,, +鹅观草,Roegneria kamoji,"郭柯,郑度",12114,19880702,新疆维吾尔自治区,3140,黄土垄,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099340.jpg,,,,,,,,,, +鹅观草,Roegneria kamoji,"老铁山采集队 王小平,邱磊,闫宝",218,20080603,辽宁省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089817.jpg,,,,,,,,,, +鹅观草,Roegneria kamoji,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",53,20020811,云南省,2550,次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088526.jpg,,,,,,,,,, +疏花鹅观草,Roegneria laxiflora,郭柯等,天山297,19860802,新疆维吾尔自治区,2485,西南山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805852.jpg,,,,,,,,,, +疏花鹅观草,Roegneria laxiflora,汤宗孝,1051,19830614,四川省,3700,亚高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01607068.jpg,,,,,,,,,, +光花鹅观草,Roegneria leiantha,何景,758,19450703,青海省,2380,生浅水塘边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00039219.jpg,,,,,,,,,, +光花鹅观草,Roegneria leiantha,滇西北队,6930,196308,云南省,2700,山坡常绿栎林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/323422.jpg,,,,,,,,,, +光脊鹅观草,Roegneria leiotropis,中国科学院西南综考队川滇黔接壤分队,764,19650917,四川省,3400,草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01781220.jpg,,,,,,,,,, +光脊鹅观草,Roegneria leiotropis,张经炜,1367,19730827,西藏自治区,3900,西南坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01484105.jpg,,,,,,,,,, +光脊鹅观草,Roegneria leiotropis,J.F.Rock,10646,19230000,云南省,,生东向山坡上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00039220.jpg,,,,,,,,,, +小株鹅观草,Roegneria minor,,s.n.,,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803293.jpg,,,,,,,,,, +小株鹅观草,Roegneria minor,蒙宁队,1147,19620731,内蒙古自治区,1200,石质山 西北坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01538013.jpg,,,,,,,,,, +多秆鹅观草,Roegneria multiculmis,"近田文弘,郎楷永",100,19870817,新疆维吾尔自治区,1450,云杉 落叶松 白桦混交林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01236379.jpg,,,,,,,,,, +多秆鹅观草,Roegneria multiculmis,"李渤生,倪志诚,程树志",6523,19830816,西藏自治区,2400,常绿阔叶林下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620362.jpg,,,,,,,,,, +多秆鹅观草,Roegneria multiculmis,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620363.jpg,,,,,,,,,, +垂穗鹅观草,Roegneria nutans,郭柯,K-187,19900806,青海省,4820,山地北坡低洼沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099559.jpg,,,,,,,,,, +垂穗鹅观草,Roegneria nutans,青藏队那曲分队陶德定,10671,19760729,西藏自治区,,河边主要草场沙砾地上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075295.jpg,,,,,,,,,, +垂穗鹅观草,Roegneria nutans,"郭柯,郑度",12823,19900905,新疆维吾尔自治区,4180,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048089.jpg,,,,,,,,,, +小颖鹅观草,Roegneria parvigluma,"汤宗孝,田效文,孙庆国",603,19820803,四川省,3500,亚高山灌丛 草场 山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645887.jpg,,,,,,,,,, +小颖鹅观草,Roegneria parvigluma,张经炜,1271,19730823,西藏自治区,3420,南坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01484102.jpg,,,,,,,,,, +小颖鹅观草,Roegneria parvigluma,C.W.Wang,71787,19351000,云南省,2400,"Open slope,of S-Exposure",,有花有果,https://image.cvh.ac.cn/files/l/PE/00620449.jpg,,,,,,,,,, +毛节缘毛草,Roegneria pendulina var. pubinodis,刘慎谔等,565,19500529,辽宁省,100,大路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00039237.jpg,,,,,,,,,, +毛节缘毛草,Roegneria pendulina var. pubinodis,专宁队,235,19600621,陕西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/323508.jpg,,,,,,,,,, +苏日古-苏日木斯图-黑雅嘎拉吉,Roegneria pendulina var. pubinodis,包世英,1280,19590607,山西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0216254.jpg,,,,,,,,,, +毛秆鹅观草,Roegneria pubicaulis,姜恕,6207,19600716,云南省,2600,山坡阳处路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620506.jpg,,,,,,,,,, +毛秆鹅观草,Roegneria pubicaulis,傅坤俊,1016,19370703,甘肃省,2400,Weedy place near river,,有花有果,https://image.cvh.ac.cn/files/l/PE/00039241.jpg,,,,,,,,,, +毛杆鹅观草,Roegneria pubicaulis,李家美等,14081065,20140810,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0000429.jpg,,,,,,,,,, +紫穗鹅观草,Roegneria purpurascens,"李渤生,倪志诚,程树志",6036,19830731,西藏自治区,3600,picae林下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620513.jpg,,,,,,,,,, +紫穗鹅观草,Roegneria purpurascens,姜恕,9445,19610718,四川省,3200,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620511.jpg,,,,,,,,,, +紫穗鹅观草,Roegneria purpurascens,河西队,1542,19640816,甘肃省,3100~3200,北坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620509.jpg,,,,,,,,,, +扭轴鹅观草,Roegneria schrenkiana,郭柯等,天山082,19860730,新疆维吾尔自治区,2880,山坡亚高山草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805869.jpg,,,,,,,,,, +扭轴鹅观草,Roegneria schrenkiana,郭柯,K-116,19900709,青海省,4940,紫色沙岩风化岩硝坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01606053.jpg,,,,,,,,,, +扭轴鹅观草,Roegneria schrenkiana,"李渤生,李辉,阳艺",13852,19900919,西藏自治区,3800~4200,sabina灌丛中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01507355.jpg,,,,,,,,,, +中华鹅观草,Roegneria sinica,"李渤生,程树志等",5426,19830712,西藏自治区,2980,田边局部多见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620590.jpg,,,,,,,,,, +中华鹅观草,Roegneria sinica,汤宗孝,355,19810612,云南省,2500,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620588.jpg,,,,,,,,,, +肃草,Roegneria stricta,黄河调查队,28,19540615,甘肃省,1300,沟底,,无花无果,https://image.cvh.ac.cn/files/l/PE/01567654.jpg,,,,,,,,,, +肃草,Roegneria stricta,P.Licent S.J.,2286,19290717,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620619.jpg,,,,,,,,,, +肃草,Roegneria stricta,"张永田,郞楷永",1139,19650729,西藏自治区,3040,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620616.jpg,,,,,,,,,, +林地鹅观草,Roegneria sylvatica,吴玉虎等,6775,19900817,青海省,3400,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/164168.jpg,,,,,,,,,, +林地鹅观草,Roegneria sylvatica,PCCZ,T124,19980817,新疆维吾尔自治区 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/183120.jpg,,,,,,,,,, +林地鹅观草,Roegneria sylvatica,新疆队,1187,19740729,新疆维吾尔自治区,2500,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/44714.jpg,,,,,,,,,, +疏穗梭罗草,Roegneria thoroldiana var. laxiuscula,青藏队 吴玉虎,2761,19880826,新疆维吾尔自治区,4200,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/149278.jpg,,,,,,,,,, +疏穗梭罗草,Roegneria thoroldiana var. laxiuscula,路飞英,,20130629,新疆,,,,,https://image.cvh.ac.cn/files/l/BNU/BNU0022516.jpg,,,,,,,,,, +天山鹅观草,Roegneria tianschanica,"张新时,郭柯",天山-434,19860806,新疆维吾尔自治区,2680,山坡草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093408.jpg,,,,,,,,,, +西藏鹅观草,Roegneria tibetica,"倪志诚,汪永泽,次多,次旦",191,19800625,西藏自治区,2400,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620631.jpg,,,,,,,,,, +西藏鹅观草,Roegneria tibetica,独龙江考察队,6529,19910422,云南省,2200,江边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/323531.jpg,,,,,,,,,, +多变鹅观草,Roegneria varia,黄荣福,122,19790621,西藏自治区,2000~2200,山坡林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620729.jpg,,,,,,,,,, +多变鹅观草,Roegneria varia,汤宗孝,895B,19810815,云南省,4400,生山地林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620728.jpg,,,,,,,,,, +多变鹅观草,Roegneria varia,"汤宗孝,柏正强,任文夫",905,19930812,四川省,3400,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620723.jpg,,,,,,,,,, +无瓣蔊菜,Rorippa dubia,万定荣,10,19930425,湖北省,,林缘向阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995638.jpg,,,,,,,,,, +无瓣蔊菜,Rorippa dubia,"税玉民,陈文红,盛家舒",31696,20021018,云南省,,石灰山沟谷热带雨林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995627.jpg,,,,,,,,,, +无瓣蔊菜,Rorippa dubia,中国科学院北京植物园峨眉山采集队,E-021,20070521,四川省,1270,林间空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995553.jpg,,,,,,,,,, +高蔊菜,Rorippa elata,谭泽民,89069,19890425,江西省,29,荒地 荒滩 河滩 水沟旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998117.jpg,,,,,,,,,, +高蔊菜,Rorippa elata,J.I.Jeon et al.,SI1429,20100811,四川省,3408,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900386.jpg,,,,,,,,,, +高蔊菜,Rorippa elata,P.C.Tsoong,1611,,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01161217.jpg,,,,,,,,,, +风花菜,Rorippa globosa,李渤生,23,19850819,北京市,,田间少见杂草,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995491.jpg,,,,,,,,,, +风花菜,Rorippa globosa,万定荣,342,19930704,湖北省,30,荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995486.jpg,,,,,,,,,, +,Rorippa indica,巴山采集队,6140,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059987.jpg,,,,,,,,,, +,Rorippa indica,巴山采集队,6190,20120708,四川省,700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059986.jpg,,,,,,,,,, +,Rorippa indica,甘启良,3233,20080822,湖北省,1300,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059800.jpg,,,,,,,,,, +沼生○3菜,Rorippa islandica,周口店考察队,194,20080927,北京市,148,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112255.jpg,,,,,,,,,, +沼生○3菜,Rorippa islandica,"石硕,祝东立",SZ3873,20140810,河北省,1220,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/02031426.jpg,,,,,,,,,, +沼生○3菜,Rorippa islandica,罗建等,Luojian-XZ-0914,20090614,西藏自治区,2905,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898928.jpg,,,,,,,,,, +沼生蔊菜,Rorippa palustris,PE西藏考察队,7990,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331814.jpg,,,,,,,,,, +沼生蔊菜,Rorippa palustris,J.Zelazny,,20090726,,,ruderal place,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036444.jpg,,,,,,,,,, +沼生蔊菜,Rorippa palustris,孔冬梅,k0102,20140614,山西省,1523,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035085.jpg,,,,,,,,,, +刺蔷薇,Rosa acicularis,唐宇丹等,X040(2005-2457),20050822,新疆维吾尔自治区,1386,云杉桦木混交林间空地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086849.jpg,,,,,,,,,, +刺蔷薇,Rosa acicularis,H.Ohashi et al.,99106,19990626,,40,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062631.jpg,,,,,,,,,, +刺蔷薇,Rosa acicularis,孔冬梅,k0471,20140725,山西省,2077,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02062527.jpg,,,,,,,,,, +腺齿蔷薇,Rosa albertii,张会金等,123(2005-2987),20050831,新疆维吾尔自治区,1584,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093347.jpg,,,,,,,,,, +腺齿蔷薇,Rosa albertii,,727,19580000,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841262.jpg,,,,,,,,,, +腺齿蔷薇,Rosa albertii,"王庆瑞,晏民生",10887,19820909,甘肃省,3000,阴坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01841259.jpg,,,,,,,,,, +木香花,Rosa banksiae var. banksiae,灌阳县普查队,450327160410003LY,20160410,广西壮族自治区,371,灌丛、路旁,黄棕壤,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0173166.jpg,,,,,,,,,, +单瓣白木香,Rosa banksiae var. normalis,巴山采集队,4241,20100803,陕西省,995,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059624.jpg,,,,,,,,,, +单瓣白木香,Rosa banksiae var. normalis,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",54,20130418,四川省,1343,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994141.jpg,,,,,,,,,, +单瓣白木香,Rosa banksiae var. normalis,赵常明,EX2049,20080927,湖北省,870,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01857168.jpg,,,,,,,,,, +复伞房蔷薇,Rosa brunonii,PE西藏考察队,7819,20180625,西藏自治区,2627,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332299.jpg,,,,,,,,,, +复伞房蔷薇,Rosa brunonii,58年秦岭队,243,19580709,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01466334.jpg,,,,,,,,,, +复伞房蔷薇,Rosa brunonii,,262,19280419,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01449888.jpg,,,,,,,,,, +短脚蔷薇,Rosa calyptopoda,李文华等,H82-0199,19820612,四川省,2100,河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01651715.jpg,,,,,,,,,, +短脚蔷薇,Rosa calyptopoda,姜恕等,605,19590608,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00202420.jpg,,,,,,,,,, +月季花,Rosa chinensis,"刘金鉴,田景全",272,19631016,四川省,600,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092836.jpg,,,,,,,,,, +月季花,Rosa chinensis,黄河队,4872,19560614,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078194.jpg,,,,,,,,,, +月季花,Rosa chinensis,"李渤生,程树志",909,19820914,西藏自治区,2100,区上栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075196.jpg,,,,,,,,,, +西北蔷薇,Rosa davidii,张树仁等,2098,20140619,四川省,1645~1700,山谷 密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918837.jpg,,,,,,,,,, +西北蔷薇,Rosa davidii,"李良千,王忠涛,杜玉芬,卫然",14,20110831,甘肃省,2130~2200,山坡灌木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914238.jpg,,,,,,,,,, +西北蔷薇,Rosa davidii,巴山采集队,1624,20080719,重庆市,1959,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851149.jpg,,,,,,,,,, +德钦蔷薇,Rosa deqenensis,T.T.Yu,10345,19370919,云南省,2800,山箐路边丛林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01821821.jpg,,,,,,,,,, +德钦蔷薇,Rosa deqenensis,T.T.Yu,10345,19370919,云南,2800,山箐路边丛林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01821821.jpg,,,,,,,,,, +得荣蔷薇,Rosa derongensis,青藏队,1653,19810630,四川省,2070,金沙江河谷阶地有刺灌丛,有刺灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00020700.jpg,,,,,,,,,, +得荣蔷薇,Rosa derongensis,陈焕镛,12107,19640520,北京市,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0322227.jpg,,,,,,,,,, +得荣蔷薇,Rosa derongensis,刘瑛,12287,19360500,河北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0322229.jpg,,,,,,,,,, +重齿蔷薇,Rosa duplicata,"李文华,胡勇",424,19810730,云南省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821303.jpg,,,,,,,,,, +重齿蔷薇,Rosa duplicata,T.T.Yu,14798,19371101,四川省,3000,丛林边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01821302.jpg,,,,,,,,,, +腺果蔷薇,Rosa fedtschenkoana,唐宇丹,X078(2005-2501),20050823,新疆维吾尔自治区,463,河滩强光,,有花有果,https://image.cvh.ac.cn/files/l/PE/01863413.jpg,,,,,,,,,, +腺果蔷薇,Rosa fedtschenkoana,,820-5,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01352796.jpg,,,,,,,,,, +腺梗蔷薇,Rosa filipes,PE西藏队,PE5770,20170903,西藏自治区,1683~2900,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330091.jpg,,,,,,,,,, +腺梗蔷薇,Rosa filipes,"洪德元,钟志宏",PB82068,19820514,四川省,1600,沟口灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821296.jpg,,,,,,,,,, +腺梗蔷薇,Rosa filipes,王俊儒,242,19620531,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811541.jpg,,,,,,,,,, +小叶滇边蔷薇,Rosa forrestiana f. glandulosa,青藏队,4279,19810825,四川省,,石灰岩山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00061326.jpg,,,,,,,,,, +陕西蔷薇,Rosa giraldii,巴山采集队,1913,20080720,重庆市,1800,山谷沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851172.jpg,,,,,,,,,, +陕西蔷薇,Rosa giraldii,鄂植考队,24991,19770824,湖北省,2000,山坡杂林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821309.jpg,,,,,,,,,, +陕西蔷薇,Rosa giraldii,,24,19600604,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821258.jpg,,,,,,,,,, +绣球蔷薇,Rosa glomerata,植物地理调查队,241,19780704,重庆市,1700,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093546.jpg,,,,,,,,,, +绣球蔷薇,Rosa glomerata,,505,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083752.jpg,,,,,,,,,, +细梗蔷薇,Rosa graciliflora,D.E.Boufford et al.,37136,20060823,四川省,3750~3800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902482.jpg,,,,,,,,,, +细梗蔷薇,Rosa graciliflora,D. E. Boufford et al.,35023,20060720,云南省,2450~3460,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902193.jpg,,,,,,,,,, +细梗蔷薇,Rosa graciliflora,,22,19730612,西藏自治区,3000,杂木沟?中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01833942.jpg,,,,,,,,,, +重齿卵果蔷薇,Rosa helenae f. duplicata,北京所横断山队,1949,19810724,云南省,1830~1880,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01821819.jpg,,,,,,,,,, +重齿卵果蔷薇,Rosa helenae f. duplicata,北京所横断山队,1949,19810724,云南,1830~1880,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01821818.jpg,,,,,,,,,, +黄蔷薇,Rosa hugonis,张志和等,1737,19890613,青海省,2293,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833837.jpg,,,,,,,,,, +黄蔷薇,Rosa hugonis,,233,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827681.jpg,,,,,,,,,, +黄蔷薇,Rosa hugonis,W.Y.Hsia,5237,19390620,甘肃省,1500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01812045.jpg,,,,,,,,,, +喀什疏花蔷薇,Rosa laxa var. kaschgarica,塔里木大学资源调查组,TD-01147,20070729,新疆,1632米,山脚,,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU00507.jpg,,,,,,,,,, +丽江蔷薇,Rosa lichiangensis,俞绍文等,100343,19620703,云南省,,沟边小路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01651734.jpg,,,,,,,,,, +丽江蔷薇,Rosa lichiangensis,E.E.Maire,492,19130000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0320395.jpg,,,,,,,,,, +,Rosa longicuspis var. longicuspis,"张桥蓉, 亚吉东, 李昌洪",15CS11570,20151211,云南,2266,灌丛中,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1457305.jpg,,,,,,,,,, +长尖叶蔷薇,Rosa longicuspis var. longicuspis,弥渡普查队,5329250355,20120726,云南省,2303,,灌木,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0008492.jpg,,,,,,,,,, +多花长尖叶蔷薇,Rosa longicuspis var. sinowilsonii,孙必兴等,116,19730504,云南省,1300,疏林灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834769.jpg,,,,,,,,,, +多花长尖叶蔷薇,Rosa longicuspis var. sinowilsonii,,960364,19960711,四川省,2070,生长在灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651546.jpg,,,,,,,,,, +多花长尖叶蔷薇,Rosa longicuspis var. sinowilsonii,北京青年队,225,19860716,贵州省,1650,山坡灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01586103.jpg,,,,,,,,,, +亮叶月季,Rosa lucidissima,武陵山考察队,3560,19880831,贵州省,1000,山坡阔叶林下灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093668.jpg,,,,,,,,,, +亮叶月季,Rosa lucidissima,傅德志等,1665,20140425,四川省,1120~1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918844.jpg,,,,,,,,,, +亮叶月季,Rosa lucidissima,赵常明等,EX2840,20090805,湖北省,700,阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01857217.jpg,,,,,,,,,, +泸定蔷薇,Rosa ludingensis,,泸6887,19740603,四川省,1500,向阳路边,蔓生灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00020706.jpg,,,,,,,,,, +,Rosa ludingensis,高信芬,焦瑞芳,GaoXF17312,20200607,四川,1984,山坡灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0263456.jpg,,,,,,,,,, +,Rosa macrophylla var. macrophylla,"张挺, 刘成, 亚吉东",18CS17600,20180912,西藏,3289,灌丛林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484227.jpg,,,,,,,,,, +毛叶蔷薇,Rosa mairei,"罗建,林玲",9013,20090606,西藏自治区,2526,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902101.jpg,,,,,,,,,, +毛叶蔷薇,Rosa mairei,H.T.Tsai,55869,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01682253.jpg,,,,,,,,,, +毛叶蔷薇,Rosa mairei,D.E.Boufford et al.,28423,19980709,四川省,3550~4000,West facing slopes and seepages in mixed coniferous forest.Shaley slope at edge of road,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597620.jpg,,,,,,,,,, +华西蔷薇,Rosa moyesii,傅国勋,913,19600723,西藏自治区,3000,林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02068295.jpg,,,,,,,,,, +华西蔷薇,Rosa moyesii,万涛等,WL0011,20140711,四川省,2560,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918836.jpg,,,,,,,,,, +华西蔷薇,Rosa moyesii,Chen Zhiduan et al.,961147,19961009,湖北省,1400,Damp,,无花有果,https://image.cvh.ac.cn/files/l/PE/01833939.jpg,,,,,,,,,, +多苞蔷薇,Rosa multibracteata,"熊济华,周子林",91548,19570620,重庆市,1550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01681287.jpg,,,,,,,,,, +多苞蔷薇,Rosa multibracteata,T.T.Yu,2600,19330918,四川省,2600,mt.slope open place,,无花有果,https://image.cvh.ac.cn/files/l/PE/01466038.jpg,,,,,,,,,, +,Rosa multiflora var. carnea,George Forrest,23487,19230600,云南省,2667,Amongst scrub by streams near habitations,,有花无果,https://image.cvh.ac.cn/files/l/PE/00282183.jpg,,,,,,,,,, +,Rosa multiflora var. carnea,,s.n.,19240507,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00282160.jpg,,,,,,,,,, +,Rosa multiflora var. carnea,,566,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00249896.jpg,,,,,,,,,, +粉团蔷薇,Rosa multiflora var. cathayensis,"张志耘,李良千等",2014-023,20140517,江西省,1150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014902.jpg,,,,,,,,,, +粉团蔷薇,Rosa multiflora var. cathayensis,夏江林,162,19950508,湖南省,120,山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863516.jpg,,,,,,,,,, +粉团蔷薇,Rosa multiflora var. cathayensis,王俊儒,286,19621013,北京市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01811543.jpg,,,,,,,,,, +野蔷薇(原变种),Rosa multiflora var. multiflora,李启瑞,52263120190501401LY,20190501,贵州,459,灌丛、中生、阳性、中温、钙质土、野生植物,半灌木和小半灌木,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0100560.jpg,,,,,,,,,, +野蔷薇,Rosa multiflora var. multiflora,许云丽,02-3-1-217,20040606,贵州省,1270,小坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/GZTM/0016960.jpg,,,,,,,,,, +西南蔷薇,Rosa murielae,"刘金鉴,田景全",37,19631008,四川省,2850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839016.jpg,,,,,,,,,, +西南蔷薇,Rosa murielae,S.Y.Hu & Y.C.Kong,Y136,19990709,云南省,,growing along motor road of hillside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01651610.jpg,,,,,,,,,, +大花香水月季,Rosa odorata var. gigantea,G.Forrest,29485,19310400,云南省,2000,In thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01682319.jpg,,,,,,,,,, +香水月季,Rosa odorata var. odorata,新平县普查队,5304270136,20120507,云南省,1540,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0008519.jpg,,,,,,,,,, +少对峨眉蔷薇,Rosa omeiensis var. paucijuga,PE西藏队,PE6838,20170917,西藏自治区,3971,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330095.jpg,,,,,,,,,, +少对峨眉蔷薇,Rosa omeiensis var. paucijuga,北京所横断山队,953,19810708,云南省,2700,云南松林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01159339.jpg,,,,,,,,,, +,Rosa omeiensis var. pteracantha,"郎楷永,李良千,费勇",458,19820713,四川省,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01159348.jpg,,,,,,,,,, +,Rosa omeiensis var. pteracantha,青藏队,926,19810612,云南省,3450,云杉林迹地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01159344.jpg,,,,,,,,,, +,Rosa omeiensis var. pteracantha,Ki-Mon Liou,5677,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00283089.jpg,,,,,,,,,, +全针蔷薇,Rosa persetosa,王文广等,2297,20140716,四川省,2540~3200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918839.jpg,,,,,,,,,, +全针蔷薇,Rosa persetosa,C.W.Wang,68135,19350800,云南省,3200,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00203798.jpg,,,,,,,,,, +,Rosa pinnatisepala f. pinnatisepala,青藏队,13608,19830905,四川省,2300,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/606507.jpg,,,,,,,,,, +中甸刺玫,Rosa praelucens,George Forrest,30010,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01651760.jpg,,,,,,,,,, +中甸刺玫,Rosa praelucens,G.Forrest,12996,19140000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0321466.jpg,,,,,,,,,, +中甸刺玫,Rosa praelucens,黄治平等,353,19300000,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0321468.jpg,,,,,,,,,, +铁杆蔷薇,Rosa prattii,王华锋,20,20060924,四川省,1831,林丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651761.jpg,,,,,,,,,, +铁杆蔷薇,Rosa prattii,北京所横断山队,1802,19810721,云南省,3100~3300,云杉 林缘时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01159371.jpg,,,,,,,,,, +樱草蔷薇,Rosa primula,王俊儒,208,19620507,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811155.jpg,,,,,,,,,, +樱草蔷薇,Rosa primula,,2894,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651765.jpg,,,,,,,,,, +樱草蔷薇,Rosa primula,罗达尚,605,19650624,山西省,1300,阳处灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651764.jpg,,,,,,,,,, +粉蕾木香,Rosa pseudobanksiae,秦仁昌,s.n.,19520328,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00020710.jpg,,,,,,,,,, +木香薷,Rosa pseudobanksiae,李家美,8,20150703,河南,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0012954.jpg,,,,,,,,,, +无刺缫丝花,Rosa roxburghii f. esetosa,李永江,R-160,1992-0 0,四川省,1800,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0048108.jpg,,,,,,,,,, +单瓣缫丝花,Rosa roxburghii f. normalis,植物地理调查队,478,19780708,重庆市,850,路旁山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093544.jpg,,,,,,,,,, +单瓣缫丝花,Rosa roxburghii f. normalis,红水河植物考察队,89-1034,19890507,广西壮族自治区,900,石灰岩山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01982991.jpg,,,,,,,,,, +单瓣缫丝花,Rosa roxburghii f. normalis,红水河植物考察队,2477,19890623,云南省,1300,山坡路旁 阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01982989.jpg,,,,,,,,,, +缫丝花,Rosa roxburghii f. roxburghii,武陵山考察队,823,19880625,贵州省,550,栽培,灌木,有花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0002139.jpg,,,,,,,,,, +悬钩子蔷薇,Rosa rubus,巴山采集队,6283,20120708,四川省,554~610,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066275.jpg,,,,,,,,,, +悬钩子蔷薇,Rosa rubus,巴山采集队,3490,20100723,陕西省,1243,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059557.jpg,,,,,,,,,, +悬钩子蔷薇,Rosa rubus,"李振宇,闫丽春,农必明等",1832,19981030,广西壮族自治区,920,山谷 石山,,有花有果,https://image.cvh.ac.cn/files/l/PE/01982987.jpg,,,,,,,,,, +腺叶绢毛蔷薇,Rosa sericea f. glandulosa,青藏队植被组,3988,19750618,西藏自治区,3650,山坡阶地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810394.jpg,,,,,,,,,, +腺叶绢毛蔷薇,Rosa sericea f. glandulosa,四川省植被调查队,4333,19730922,四川省,4300,高山云冷杉林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01585865.jpg,,,,,,,,,, +宽刺绢毛蔷薇,Rosa sericea f. pteracantha,西藏中草药普查队,991,19720803,西藏自治区,4050,山麓山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810385.jpg,,,,,,,,,, +宽刺绢毛蔷薇,Rosa sericea f. pteracantha,"T.Naito,K.Y.Lang,Y.Tateishi,T.Nemoto & B.S.Li",386,19860429,四川省,1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01585864.jpg,,,,,,,,,, +绢毛蔷薇,Rosa sericea f. sericea,左家哺,86-022,19860403,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0002154.jpg,,,,,,,,,, +,Rosa sericea f. sericea,王乾,M-236,20180626,四川,2683,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0267977.jpg,,,,,,,,,, +多对钝叶蔷薇,Rosa sertata var. multijuga,管中天,60025,19600400,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00298356.jpg,,,,,,,,,, +刺梗蔷薇,Rosa setipoda,鄂神农架植考队,32432,19760814,湖北省,2500,山顶灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821310.jpg,,,,,,,,,, +刺梗蔷薇,Rosa setipoda,H.H.Chung,4399,19170628,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01682427.jpg,,,,,,,,,, +刺梗蔷薇,Rosa setipoda,58年秦岭队,172,19580628,陕西省,2540,西坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01466320.jpg,,,,,,,,,, +川西蔷薇,Rosa sikangensis,唐宇丹等,BM015(2006-2898),20061015,西藏自治区,2641,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093635.jpg,,,,,,,,,, +川西蔷薇,Rosa sikangensis,应俊生,3657,19600528,四川省,4150,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821820.jpg,,,,,,,,,, +,Rosa soulieana var. soulieana,D. E. Boufford et al.,37247,20060824,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902229.jpg,,,,,,,,,, +,Rosa soulieana var. soulieana,方伟,上官法智,魏志丹,3846,20120916,云南省,2152,路边杂灌丛,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1228417.jpg,,,,,,,,,, +求江蔷薇,Rosa taronensis,青藏队,3635,19740714,西藏自治区,3900,山坡灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651797.jpg,,,,,,,,,, +求江蔷薇,Rosa taronensis,T.T.Yu,8316,19370526,云南省,3200,among woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/01159436.jpg,,,,,,,,,, +西藏蔷薇,Rosa tibetica,,970,19730829,西藏自治区,3800,杨桦次生林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00934264.jpg,,,,,,,,,, +秦岭蔷薇,Rosa tsinglingensis,秦岭队,324,19580909,陕西省,,山坡,灌木丛中,路旁,阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839341.jpg,,,,,,,,,, +秦岭蔷薇,Rosa tsinglingensis,于兆英,1646,19810812,宁夏回族自治区,2600,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651799.jpg,,,,,,,,,, +藏边蔷薇,Rosa webbiana,唐宇丹等,31,20050821,新疆维吾尔自治区,1200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02061943.jpg,,,,,,,,,, +藏边蔷薇,Rosa webbiana,青藏队,76-123,19760716,西藏自治区,3730~3900,卵石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01651806.jpg,,,,,,,,,, +藏边蔷薇,Rosa webbiana,,433,19310630,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01572994.jpg,,,,,,,,,, +维西蔷薇,Rosa weisiensis,冯国楣,4321,19400530,云南省,2300,灌丛中,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00299009.jpg,,,,,,,,,, +维西蔷薇,Rosa weisiensis,黄光中,105,19600807,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/GZTM/0017664.jpg,,,,,,,,,, +,Rosa xanthina,李才贵,39,19840528,山西省,1930,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081098.jpg,,,,,,,,,, +,Rosa xanthina,云台山采集队,899,20090615,河南省,,水边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026668.jpg,,,,,,,,,, +,Rosa xanthina,H.H.Chung,s.n.,19180525,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01682704.jpg,,,,,,,,,, +中甸蔷薇,Rosa zhongdianensis,青藏队,1819,19810705,云南省,2600,公路边山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00061316.jpg,,,,,,,,,, +中甸蔷薇,Rosa zhongdianensis,高信芬、朱章明、赵雪利、张良,12214,20100709,西藏自治区,3820,山坡灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0238164.jpg,,,,,,,,,, +中甸蔷薇,Rosa zhongdianensis,青藏队,1819,19810705,云南,2600,公路边山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1206917.jpg,,,,,,,,,, +高山象牙参,Roscoea alpina,PE西藏考察队,7792,20180624,西藏自治区,3105,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332544.jpg,,,,,,,,,, +高山象牙参,Roscoea alpina,北京所横断山队,1108,19810624,云南省,2200~2600,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049131.jpg,,,,,,,,,, +耳叶象牙参,Roscoea auriculata,"张永田,郞楷永",4397,19660622,西藏自治区,2400,山坡 草地 石头上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075407.jpg,,,,,,,,,, +耳叶象牙参,Roscoea auriculata,王启无,70476,193506,云南省,2200,草坡溪边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/425091.jpg,,,,,,,,,, +头花象牙参,Roscoea capitata,青藏队植被组,4551,19750714,西藏自治区,2500,河谷山坡乔松疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083338.jpg,,,,,,,,,, +,Roscoea capitata,G.Forrest,6387,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075417.jpg,,,,,,,,,, +大花象牙参,Roscoea humeana,王启无,s.n.,19350000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075511.jpg,,,,,,,,,, +大花象牙参,Roscoea humeana,T.T.Yu,5568,19370522,四川省,2800,under pine forest soil dry,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075505.jpg,,,,,,,,,, +象牙参,Roscoea purpurea,张经炜,2481,19610523,西藏自治区,3000,草甸土,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803614.jpg,,,,,,,,,, +无柄象牙参,Roscoea schneideriana,G.Forrest,6401,19100800,云南省,0,In mixed forests,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0764982.jpg,,,,,,,,,, +无柄象牙参,Roscoea schneideriana,张挺,郭永杰,刘成等,10CS2274,20100807,云南,2710,"NE-facing slope with Pinus yunnanensis, Origanum, Senecio, Artemisia, Potentilla, Cyanoglossum, Cyperus and grasses. Growing in shade under Pinus yunnanensis.",,,https://image.cvh.ac.cn/files/l/KUN/1390997.jpg,,,,,,,,,, +绵枣象牙参,Roscoea scillifolia,G.Forrest,6354,19100800,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0764981.jpg,,,,,,,,,, +绵枣象牙参,Roscoea scillifolia,胡考农,20520,19790805,四川省,0~3840,草地中,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0764991.jpg,,,,,,,,,, +绵枣象牙参,Roscoea scillifolia,郭永杰,刘成,15CS10416,20150818,云南,2945,石灰岩灌丛山坡,,,https://image.cvh.ac.cn/files/l/KUN/1390998.jpg,,,,,,,,,, +,Roscoea tibetica,"D.E.Boufford,L.Y.Chen,X.H.Li,J.R.Shevock et J.P.Yu",42719,20100808,四川省,3535,In meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307891.jpg,,,,,,,,,, +,Roscoea tibetica,红水河植物考察队,2033,19890603,云南省,2200,石灰岩灌丛山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018474.jpg,,,,,,,,,, +钩子木,Rostrinucula dependens,白水江采集队,2221,20060818,甘肃省,1400,山坡杂木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849666.jpg,,,,,,,,,, +钩子木,Rostrinucula dependens,李明红,489,19961003,湖南省,850,中山凹坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01690371.jpg,,,,,,,,,, +长叶瓦莲,Rosularia alpestris,中国科学院植物所昆明分所,,19750815,西藏自治区,1950,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100503.jpg,,,,,,,,,, +长叶瓦莲,Rosularia alpestris,杨世忠,1-030,19870605,新疆维吾尔自治区,1660,半荒 草原带,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268864.jpg,,,,,,,,,, +五蕊节节菜,Rotala rosea,李永亮,LIYL1606,20161001,云南,,南亚热带针阔混交林间泥塘边,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1441390.jpg,,,,,,,,,, +圆叶节节菜,Rotala rotundifolia,川黔队,166,19560423,重庆市,500,山地 水田中路旁阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084025.jpg,,,,,,,,,, +圆叶节节菜,Rotala rotundifolia,广西调查队,131,19550521,广西壮族自治区,,水中,水田中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020932.jpg,,,,,,,,,, +圆叶节节菜,Rotala rotundifolia,林秦文,2013-073,20130528,云南省,1600~1750,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014862.jpg,,,,,,,,,, +,Rottboellia cochinchinensis,236任务组,167,19720728,四川省,900,山坡田边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437538.jpg,,,,,,,,,, +,Rottboellia cochinchinensis,蔡国梁,928,19840917,福建省,,路边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437535.jpg,,,,,,,,,, +,Rottboellia cochinchinensis,R.J.Soreng et al.,5321,19970915,云南省,350,"Steep,mesic,rocky lower slopes and disturbed ground of river valley.",,有花有果,https://image.cvh.ac.cn/files/l/PE/01437428.jpg,,,,,,,,,, +中国茜草,Rubia chinensis,孔冬梅,k0329,20140716,山西省,621,水边石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036032.jpg,,,,,,,,,, +中国茜草,Rubia chinensis,B.U.Oh et al.,120611-008,20120611,,1141,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005667.jpg,,,,,,,,,, +中国茜草,Rubia chinensis,J.I.Jeon et al.,SI1420,20100811,四川省,2775,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917955.jpg,,,,,,,,,, +茜草,Rubia cordifolia,PE西藏队,PE5460,20170831,西藏自治区,3792,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333016.jpg,,,,,,,,,, +茜草,Rubia cordifolia,胡启明,4874,19580912,江西省,,灌木丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234724.jpg,,,,,,,,,, +茜草,Rubia cordifolia,华东工作站同人,6304,19511027,安徽省,,山谷丛林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234715.jpg,,,,,,,,,, +红花茜草,Rubia haematantha,北京队,621,19880531,湖南省,,常绿阔叶林溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01319624.jpg,,,,,,,,,, +红花茜草,Rubia haematantha,G.Forrest,13055,19140000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00838441.jpg,,,,,,,,,, +红花茜草,Rubia haematantha,四川植被调查队,2092,19730711,四川省,2840,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0509431.jpg,,,,,,,,,, +黑花茜草,Rubia mandersii,孟连调查队,9428,19730711,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0509434.jpg,,,,,,,,,, +黑花茜草,Rubia mandersii,"朱鑫鑫, 林庶, 胡梦杰",ZXX191114,20190907,云南,2271,亚热带针阔混交林,山坡松林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484324.jpg,,,,,,,,,, +黑花茜草,Rubia mandersii,俞德浚,14067,19370820,四川省,2600,shrub of woods,,有花无果,https://image.cvh.ac.cn/files/l/KUN/328842.jpg,,,,,,,,,, +金线草,Rubia membranacea,张彩飞,2964,20110602,湖南省,1400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247358.jpg,,,,,,,,,, +金线草,Rubia membranacea,L.Y.,97213,19970805,甘肃省,1620,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114983.jpg,,,,,,,,,, +金线草,Rubia membranacea,青藏队补点队,751764,19750828,西藏自治区,2600,林缘林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00838493.jpg,,,,,,,,,, +,Rubia oncotricha,北京植物所横断山队,394,19810602,云南省,2700,针阔混交林 路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043585.jpg,,,,,,,,,, +,Rubia oncotricha,"张树仁,陈淑荣,朗校安等",1806,20140612,四川省,1117,山坡 林下 沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021411.jpg,,,,,,,,,, +,Rubia oncotricha,"李振宇,闫丽春,农必明,李东方",1879,19981030,广西壮族自治区,900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011935.jpg,,,,,,,,,, +浅色茜草,Rubia pallida,王启无,70307,19350900,云南省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0509558.jpg,,,,,,,,,, +浅色茜草,Rubia pallida,秦仁昌,20824,19390706,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0509557.jpg,,,,,,,,,, +柄花茜草,Rubia podantha,林秦文,2013-161,20130601,云南省,1750~2300,峡谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110622.jpg,,,,,,,,,, +柄花茜草,Rubia podantha,M.K.Li,1261,19391118,云南省 ,2050,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0509651.jpg,,,,,,,,,, +翅茎茜草,Rubia pterygocaulis,罗献瑞,1747,1981、6,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0017449.jpg,,,,,,,,,, +锡金茜草,Rubia sikkimensis,木里队,333,19780707,四川,2300,,附生匍匐生藤本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM718502424.jpg,,,,,,,,,, +西藏茜草,Rubia tibetica,青藏队植被组,12831,19760616,西藏自治区,4050,峡谷石壁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803972.jpg,,,,,,,,,, +西藏茜草,Rubia tibetica,邢吉庆,22236,19730800,新疆维吾尔自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH012859.jpg,,,,,,,,,, +,Rubia tibetica,J. D. Hooker,7,,,3048~4267.2,,,,https://image.cvh.ac.cn/files/l/NY/00133199.jpg,,,,,,,,,, +多花茜草,Rubia wallichiana,王文广等,2344,20141024,四川省,1600,泥土,,无花有果,https://image.cvh.ac.cn/files/l/PE/01905930.jpg,,,,,,,,,, +多花茜草,Rubia wallichiana,,2414,19740910,西藏自治区,1780,谷地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01775628.jpg,,,,,,,,,, +多花茜草,Rubia wallichiana,李钦,687,20050603,广西壮族自治区,650,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01590662.jpg,,,,,,,,,, +紫参,Rubia yunnanensis,236-6队,3460,19771103,云南省,,杂林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01775631.jpg,,,,,,,,,, +紫参,Rubia yunnanensis,刘慎谔,13776,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0509871.jpg,,,,,,,,,, +紫参,Rubia yunnanensis,T.T.Yu,14067,19370820,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0509868.jpg,,,,,,,,,, +掌叶石蚕,Rubiteucris palmata,South Tibet Exp.Team (Jin Xiaohua etc.),STET2636,20100812,西藏自治区,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328289.jpg,,,,,,,,,, +掌叶石蚕,Rubiteucris palmata,彭华课题组,H-滇兰坪-Z1136,20100728,云南省,2350,公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920534.jpg,,,,,,,,,, +掌叶石蚕,Rubiteucris palmata,张树仁等,2180,20140621,四川省,1901~2400,路边 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918901.jpg,,,,,,,,,, +,Rubus amabilis var. amabilis,王乾、顾健,SCW0014,20200602,四川,2989,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274739.jpg,,,,,,,,,, +小果秀丽莓,Rubus amabilis var. microcarpus,T.P.Wang,5496,19360801,甘肃省,3200,under shrub,shrub,无花有果,https://image.cvh.ac.cn/files/l/PE/00143581.jpg,,,,,,,,,, +小果秀丽莓,Rubus amabilis var. microcarpus,郭本兆 王为义,25295,19810614,青海省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/98808.jpg,,,,,,,,,, +小果秀丽莓,Rubus amabilis var. microcarpus,余奇;孙奇,CIBYQ100B005,20200615,四川,2298,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1564506.jpg,,,,,,,,,, +狭苞悬钩子,Rubus angustibracteatus,白水江采集队,2063,20060714,甘肃省,1500,山沟林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01857607.jpg,,,,,,,,,, +狭苞悬钩子,Rubus angustibracteatus,宋滋圃,39295,19540729,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00934269.jpg,,,,,,,,,, +狭苞悬钩子,Rubus angustibracteatus,雅安队,,19780711,四川,1500,山林,藤本,无花有果,https://image.cvh.ac.cn/files/l/SM/SM707005190.jpg,,,,,,,,,, +西南悬钩子,Rubus assamensis,宋克先,90143,20090616,云南省,1430,林下潮湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902550.jpg,,,,,,,,,, +西南悬钩子,Rubus assamensis,PE-古蔺考察队,575,20100905,四川省,1100~1580,山谷,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01864959.jpg,,,,,,,,,, +桔红悬钩子,Rubus aurantiacus,PE西藏队,PE5785,20170903,西藏自治区,3401,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309939.jpg,,,,,,,,,, +桔红悬钩子,Rubus aurantiacus,税玉民,2867,19930721,云南省,2950,山坡密林缘灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833473.jpg,,,,,,,,,, +藏南悬钩子,Rubus austrotibetanus,PE西藏队,PE6531,20170912,西藏自治区,3588,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330056.jpg,,,,,,,,,, +藏南悬钩子,Rubus austrotibetanus,税玉民,2868,19930721,云南省,2960,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01821716.jpg,,,,,,,,,, +齿萼悬钩子,Rubus calycinus,"李渤生,程树志",1255,19821012,西藏自治区,3200~3400,冷杉林上段优势伏地灌木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074677.jpg,,,,,,,,,, +齿萼悬钩子,Rubus calycinus,宋克先,90432,20090712,云南省,2295,林下潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902593.jpg,,,,,,,,,, +齿萼悬钩子,Rubus calycinus,谭沛祥,61827,19590626,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832902.jpg,,,,,,,,,, +毛萼莓,Rubus chroosepalus,巴山采集队,3549,20100725,四川省,585,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066126.jpg,,,,,,,,,, +毛萼莓,Rubus chroosepalus,赵常明等,EX2256,20090729,湖北省,850,阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01857664.jpg,,,,,,,,,, +毛萼莓,Rubus chroosepalus,巴山采集队,279,20080712,重庆市,966,山谷溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851277.jpg,,,,,,,,,, +矮生悬钩子,Rubus clivicola,T.T.Yu,19277,19380709,云南省,2800~3000,upon rock surface under shady ferest,,无花无果,https://image.cvh.ac.cn/files/l/PE/00168444.jpg,,,,,,,,,, +,Rubus clivicola,J. F. Rock,23317,Jul-32,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00140044.jpg,,,,,,,,,, +华中悬钩子,Rubus cockburnianus,浆果,15,19620702,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091615.jpg,,,,,,,,,, +华中悬钩子,Rubus cockburnianus,"J.I.Jeon,H.S.Lee,H.J.Eom, Y.J.Park et B.Liu",SI1451,20100812,四川省,2940,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01993989.jpg,,,,,,,,,, +华中悬钩子,Rubus cockburnianus,"Zhu, Chen, Xu,Wang",1606,19990720,陕西省,1000,Rush-wood,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840794.jpg,,,,,,,,,, +插田泡(原变种),Rubus coreanus var. coreanus,张相宜,李子宣,郭泳棂,GYL-Z-00-13-001,20210602,四川,2503,高山草甸,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02070158.jpg,,,,,,,,,, +毛叶插田泡,Rubus coreanus var. tomentosus,巴山采集队,3031,20100721,四川省,935,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059156.jpg,,,,,,,,,, +毛叶插田泡,Rubus coreanus var. tomentosus,北京队,891078,19890511,广西壮族自治区,600,石山阳坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01982951.jpg,,,,,,,,,, +三叶悬钩子,Rubus delavayi,"Li Heng,Yang Shixiong,Lei Ligong etc.",1396,20030414,云南省,2610,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090645.jpg,,,,,,,,,, +三叶悬钩子,Rubus delavayi,,8785,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066121.jpg,,,,,,,,,, +白薷,Rubus doyonensis,周仕顺,5510,20090510,云南省,1000,河边热带雨林林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863635.jpg,,,,,,,,,, +白薷,Rubus doyonensis,Dr.Heinr. Frh. V. Handel-Mazze,8992,1916/6/6,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00075712.jpg,,,,,,,,,, +,Rubus doyonensis,"Handel-Mazzetti, Heinrich",8992,20-Jun-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00010585.jpg,,,,,,,,,, +腺萼红果悬钩子,Rubus erythrocarpus var. weixiensis,冯国楣,4611,19400615,云南省,3200,杂林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00020738.jpg,,,,,,,,,, +桉叶悬钩子,Rubus eucalyptus,"陈之端,马欣堂",961218,19961011,湖北省,1650~1750,damp,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061874.jpg,,,,,,,,,, +桉叶悬钩子,Rubus eucalyptus,"刘金鉴,田景全",45,19631008,四川省,2700,路旁灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839110.jpg,,,,,,,,,, +桉叶悬钩子,Rubus eucalyptus,白龙江考察队,492,19980721,甘肃省,2800,山地 山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556253.jpg,,,,,,,,,, +弓茎悬钩子,Rubus flosculosus,"川西队,关克俭,王文采等",3465,19630914,四川省,950,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091429.jpg,,,,,,,,,, +弓茎悬钩子,Rubus flosculosus,云台山采集队,0709A,,河南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044266.jpg,,,,,,,,,, +凉山悬钩子,Rubus fockeanus,巴山采集队,3673,20100727,四川省,1005,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059154.jpg,,,,,,,,,, +凉山悬钩子,Rubus fockeanus,尹志坚等,2462,20090919,云南省,3700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01902416.jpg,,,,,,,,,, +凉山悬钩子,Rubus fockeanus,白水江采集队,557,20060628,甘肃省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01857605.jpg,,,,,,,,,, +腺毛莓叶悬钩子,Rubus fragarioides var. adenophorus,宋克先,90633,20090721,云南省,3880,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902592.jpg,,,,,,,,,, +腺毛莓叶悬钩子,Rubus fragarioides var. adenophorus,张治明,151,19890700,黑龙江省,450,道路边坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01832104.jpg,,,,,,,,,, +柔毛莓叶悬钩子,Rubus fragarioides var. pubescens,青藏队,8505,19820724,云南省,3400~3800,山坡 湿润草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01159522.jpg,,,,,,,,,, +柔毛莓叶悬钩子,Rubus fragarioides var. pubescens,青藏队植被组,3273,19740917,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00169985.jpg,,,,,,,,,, +锈叶悬钩子,Rubus fuscifolius,,s.n.,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01159525.jpg,,,,,,,,,, +锈叶悬钩子,Rubus fuscifolius,,517,19570901,,1600,丛林中,灌木,,https://image.cvh.ac.cn/files/l/IBK/IBK00328916.jpg,,,,,,,,,, +锈叶悬钩子,Rubus fuscifolius,曾宪锋,ZXF38024,20180628,福建,785,山地、灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0033302.jpg,,,,,,,,,, +无刺贡山悬钩子,Rubus gongshanensis var. qiujiangensis,T.T.Yu,20838,19381022,云南省,3500,among thickets on open slop shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790017.jpg,,,,,,,,,, +,Rubus gongshanensis var. qiujiangensis,T. T. Yu,20838,1938/10/22,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00133093.jpg,,,,,,,,,, +川西柔毛悬钩子,Rubus gyamdaensis,付筱,雷嘉卿,周雨阳,LJQ-A-026-034,20200927,四川,2999,路边,中生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02065623.jpg,,,,,,,,,, +密毛纤细悬钩子,Rubus hypargyrus,,2003,19740725,西藏自治区,3200,采伐空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00250278.jpg,,,,,,,,,, +纤细悬钩子,Rubus hypargyrus,M.Suzuki etc.,35843,19880824,,2720,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1261371.jpg,,,,,,,,,, +拟复盆子,Rubus idaeopsis,,960711,19960601,四川省,1000,林边及山地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01863669.jpg,,,,,,,,,, +拟复盆子,Rubus idaeopsis,巴山采集队,2786,20080728,重庆市,1446,林下灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851298.jpg,,,,,,,,,, +拟复盆子,Rubus idaeopsis,"党成忠,党仲华",232,19860704,贵州省,1400,山坡林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840826.jpg,,,,,,,,,, +红花悬钩子,Rubus inopertus var. inopertus,凌云普查队,4.51E+14,20130501,广西壮族自治区,615,阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI057126.jpg,,,,,,,,,, +红花悬钩子,Rubus inopertus var. inopertus,凌云普查队,4.51E+14,20130501,广西,615,阔叶林,林下,黄棕壤,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0117364.jpg,,,,,,,,,, +紫色悬钩子,Rubus irritans,何叶祺,4197,19590722,甘肃省,2800,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01841432.jpg,,,,,,,,,, +紫色悬钩子,Rubus irritans,钟补求,5540,19521006,西藏自治区,,杂林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833035.jpg,,,,,,,,,, +紫色悬钩子,Rubus irritans,Ho Ting-nung et al.,224,19930723,青海省,3350~3450,Open Picea crassifolia woodland on steep slope ground cover close turf.,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832052.jpg,,,,,,,,,, +光滑高粱泡,Rubus lambertianus var. glaber,巴山采集队,6158,20120708,四川省,700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066021.jpg,,,,,,,,,, +光滑高粱泡,Rubus lambertianus var. glaber,巴山采集队,4210,20100803,陕西省,995,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059153.jpg,,,,,,,,,, +高粱泡(原变种),Rubus lambertianus var. lambertianus,张品飞,522121160419070LY,20160419,贵州省,1004.2,中生、阳性、灌丛酸性土、中温、野生植物、多,灌木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0030403.jpg,,,,,,,,,, +高粱泡(原变种),Rubus lambertianus var. lambertianus,贾彧,522325190716527LY,20190716,贵州,1275,灌丛、中生、阳性、中温、钙质土、野生植物,灌木,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0094441.jpg,,,,,,,,,, +疏松悬钩子,Rubus laxus,A.Henry,11030,,云南省,1667,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840767.jpg,,,,,,,,,, +疏松悬钩子,Rubus laxus,A.A.Bullock,923,19460203,,3500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01682716.jpg,,,,,,,,,, +绢毛悬钩子,Rubus lineatus,"李渤生,程树志",1295,19821013,西藏自治区,,铁杉林间空地河边优势灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832732.jpg,,,,,,,,,, +绢毛悬钩子,Rubus lineatus,"韩裕丰,邓坤梅",81-538,19810601,云南省,1950,路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01832117.jpg,,,,,,,,,, +黄色悬钩子,Rubus lutescens,D.E.Boufford et al.,36809,20060818,四川省,3700~3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902452.jpg,,,,,,,,,, +黄色悬钩子,Rubus lutescens,,76-98,19760702,西藏自治区,4200,火烧迹地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832285.jpg,,,,,,,,,, +细瘦悬钩子,Rubus macilentus,蓝顺彬,372,19850428,云南省,2600,向阳路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01833379.jpg,,,,,,,,,, +细瘦悬钩子,Rubus macilentus,,s.n.,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833111.jpg,,,,,,,,,, +腺毛喜阴悬钩子,Rubus mesogaeus var. oxycomus,李文华等,H82-471,19820623,四川省,2900,高山峡谷 冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01813499.jpg,,,,,,,,,, +腺毛喜阴悬钩子,Rubus mesogaeus var. oxycomus,王启无,63161,19350500,云南省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00252588.jpg,,,,,,,,,, +墨脱悬钩子,Rubus metoensis,青藏队 植被组,3236,19740916,西藏自治区,,,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00020768.jpg,,,,,,,,,, +墨脱悬钩子,Rubus metoensis,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,919,20121017,西藏,,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/BJM/0230476.jpg,,,,,,,,,, +刺毛悬钩子,Rubus multisetosus,宋克先,90555,20090718,云南省,2950,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902546.jpg,,,,,,,,,, +刺毛悬钩子,Rubus multisetosus,蒋英,11610,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0340629.jpg,,,,,,,,,, +白绒悬钩子,Rubus niveus,PE西藏考察队,7813,20180625,西藏自治区,2627,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333171.jpg,,,,,,,,,, +白绒悬钩子,Rubus niveus,T.Y.A.Yang,2173,19850615,台湾省,,roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093559.jpg,,,,,,,,,, +白绒悬钩子,Rubus niveus,植物地理调查队,750,19780727,重庆市,1400~1750,路旁灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093543.jpg,,,,,,,,,, +聂拉木悬钩子,Rubus nyalamensis,"张书东,何华杰",81174,20080916,西藏自治区,2720,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902167.jpg,,,,,,,,,, +聂拉木悬钩子,Rubus nyalamensis,路端正,,20020916,西藏,2400,,,有花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00027185.jpg,,,,,,,,,, +圆锥悬钩子,Rubus paniculatus,PE西藏队,PE6228,20170910,西藏自治区,2488~2994,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309948.jpg,,,,,,,,,, +圆锥悬钩子,Rubus paniculatus,M.Suzuki et al.,10161,19880708,,1850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01969519.jpg,,,,,,,,,, +腺花茅莓,Rubus parvifolius var. adenochlamys,黄土高原采集队,3026,19840621,河南省,750,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832091.jpg,,,,,,,,,, +腺花茅莓,Rubus parvifolius var. adenochlamys,黄河队,2636,19550909,山西省,1900,山坡灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810452.jpg,,,,,,,,,, +腺花茅莓,Rubus parvifolius var. adenochlamys,孙学刚等,2651,20010726,甘肃省,2030,山坡土埂上干旱处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01808611.jpg,,,,,,,,,, +匍匐悬钩子,Rubus pectinarioides,青藏队,8608,19820726,云南省,3200~3400,Abies 箭竹林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01159621.jpg,,,,,,,,,, +匍匐悬钩子,Rubus pectinarioides,青藏队植被组,3235,19740916,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00055782.jpg,,,,,,,,,, +黄泡,Rubus pectinellus,Tzer-Tong Lin et al.,s. n.,19830712,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902003.jpg,,,,,,,,,, +黄泡,Rubus pectinellus,三峡考察队,1892,20080717,重庆市,1185~1312,阴湿沟谷林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01857652.jpg,,,,,,,,,, +黄泡,Rubus pectinellus,刘林翰,691,19570625,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832096.jpg,,,,,,,,,, +,Rubus pedunculosus,黄向旭、钟智波,15876,20130609,西藏自治区,0~1847,山地、路旁、山谷,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0774781.jpg,,,,,,,,,, +密毛纤细悬钩子,Rubus pedunculosus,王作宾,18819,19640404,甘肃省,1860,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/010604.jpg,,,,,,,,,, +密毛纤细悬钩子,Rubus pedunculosus,郭本兆,11008,19730318,云南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/33795.jpg,,,,,,,,,, +掌叶悬钩子,Rubus pentagonus,"刘金鉴,田景全",44,19631008,四川省,2500,路旁 灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093082.jpg,,,,,,,,,, +掌叶悬钩子,Rubus pentagonus,尹志坚等,1570,20090722,云南省,3050,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01902417.jpg,,,,,,,,,, +多腺悬钩子,Rubus phoenicolasius,"川西队,关克俭,王文采等",1218,19630801,四川省,3100,山沟边灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092990.jpg,,,,,,,,,, +多腺悬钩子,Rubus phoenicolasius,刘金鉴,,19620530,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091636.jpg,,,,,,,,,, +菰帽悬钩子,Rubus pileatus,秦岭队,20074,19580924,陕西省,,半阳处 路旁 山沟底 潮湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093481.jpg,,,,,,,,,, +菰帽悬钩子,Rubus pileatus,巴山采集队,2003,20080719,重庆市,2300,山脊,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851316.jpg,,,,,,,,,, +五叶鸡爪茶,Rubus playfairianus,"C.S.Chang,H.Kim,H.J.Eom, J.W.Jeong et B.Liu",SI1217,20100705,四川省,1714,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993946.jpg,,,,,,,,,, +五叶鸡爪茶,Rubus playfairianus,汪发缵,10239,19450000,重庆市,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01863545.jpg,,,,,,,,,, +,Rubus pluribracteatus,绿春队,1140,19740522,云南省,850,山坡林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840928.jpg,,,,,,,,,, +,Rubus pluribracteatus,王功范,1-0037,20030426,贵州省,650,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833150.jpg,,,,,,,,,, +,Rubus pluribracteatus,Harry Smith,10005,19340607,四川省,3350,In rupibus praeruptis dependes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832847.jpg,,,,,,,,,, +毛叶悬钩子,Rubus poliophyllus,刘恩德等,2372,20100329,云南省,945,"Riverside,upon thickets",,有花无果,https://image.cvh.ac.cn/files/l/PE/01902561.jpg,,,,,,,,,, +多齿悬钩子,Rubus polyodontus,青藏队,8383,19820722,云南省,2700,Tsuga林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01159664.jpg,,,,,,,,,, +多齿悬钩子,Rubus polyodontus,H.T.Tsai,58410,19340908,云南省 ,3200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0341384.jpg,,,,,,,,,, +光梗假帽莓,Rubus pseudopileatus var. glabratus,管中天,8711,19590625,四川省,2350~2700,针阔叶混交林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821572.jpg,,,,,,,,,, +光梗假帽莓,Rubus pseudopileatus var. glabratus,管中天,6616,19590822,四川,2620,冷杉坪山坡上部,,无花有果,https://image.cvh.ac.cn/files/l/PE/01821571.jpg,,,,,,,,,, +康定假帽莓,Rubus pseudopileatus var. kangdingensis,黄治平 罗正远 蒋卓然,1697,19300808,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00020787.jpg,,,,,,,,,, +康定假帽莓,Rubus pseudopileatus var. kangdingensis,,s.n,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00316056.jpg,,,,,,,,,, +毛果悬钩子,Rubus ptilocarpus,H.T.Tsai,51036,19320617,云南省,2300,climbering on rock.,woody climber.,无花有果,https://image.cvh.ac.cn/files/l/PE/00316065.jpg,,,,,,,,,, +毛果悬钩子,Rubus ptilocarpus,张清龙,350224,19610910,四川省,4100,山坡上部,草之路地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00316063.jpg,,,,,,,,,, +毛果悬钩子,Rubus ptilocarpus,王为义等,26762,19830729,青海省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0229436.jpg,,,,,,,,,, +线萼针刺悬钩子,Rubus pungens var. linearisepalus,T.T.Yu,15099,19370603,云南省,2800,,shrub,有花无果,https://image.cvh.ac.cn/files/l/PE/00316082.jpg,,,,,,,,,, +香莓,Rubus pungens var. oldhamii,,1669,19760628,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01832998.jpg,,,,,,,,,, +香莓,Rubus pungens var. oldhamii,236-6队,2737,19760714,湖北省,1700,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01832997.jpg,,,,,,,,,, +,Rubus pungens var. pungens,孙航,张建文,邓涛,朱鑫鑫,Sunhang11970,20120604,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1260289.jpg,,,,,,,,,, +网脉悬钩子,Rubus reticulatus,,2520,19740914,西藏自治区,650,热带季雨林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01832135.jpg,,,,,,,,,, +网脉悬钩子,Rubus reticulatus,G.Forrest,8904,19120000,贵州省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0341693.jpg,,,,,,,,,, +红刺悬钩子,Rubus rubrisetulosus,朱大海,3834,20070529,四川省,1700,山谷沟边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840815.jpg,,,,,,,,,, +红刺悬钩子,Rubus rubrisetulosus,青藏队,7603,19820625,云南省,3400~3500,山坡 Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01159674.jpg,,,,,,,,,, +棕红悬钩子,Rubus rufus,红水河植物考察队,89-1423,19890519,广西壮族自治区,1700,林内 路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982845.jpg,,,,,,,,,, +棕红悬钩子,Rubus rufus,PE-古蔺考察队,1012,20100908,四川省,1338~1513,峡谷,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01864949.jpg,,,,,,,,,, +棕红悬钩子,Rubus rufus,Shui Yumin et al.,11683,19991005,云南省,1130,in forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863608.jpg,,,,,,,,,, +库页悬钩子,Rubus sachalinensis,牙资北队,214,19860629,内蒙古自治区,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863631.jpg,,,,,,,,,, +库页悬钩子,Rubus sachalinensis,东林植物调查队,9541993,19950722,,,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863544.jpg,,,,,,,,,, +川莓,Rubus setchuenensis,"川西队,关克俭,王文采等",1686,19630819,四川省,1650,山沟水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092991.jpg,,,,,,,,,, +川莓,Rubus setchuenensis,"张寿洲,李良千等",90328,20090624,贵州省,1150,路边灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01902161.jpg,,,,,,,,,, +锡金悬钩子,Rubus sikkimensis,Chi-Hsiung Chen et al.,915,19880929,台湾省,1350,Broadleaf forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555838.jpg,,,,,,,,,, +锡金悬钩子,Rubus sikkimensis,青藏队植被组,2635,19740810,西藏自治区,3800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00317146.jpg,,,,,,,,,, +锡金悬钩子,Rubus sikkimensis,王辰,,"星期日, 六月 26, 2011",西藏,,草甸,,,https://image.cvh.ac.cn/files/l/BNU/004265.jpg,,,,,,,,,, +华西悬钩子,Rubus stimulans,尹志坚等,1245,20090715,云南省,3600,"roadsides,forest margins",,无花有果,https://image.cvh.ac.cn/files/l/PE/01902516.jpg,,,,,,,,,, +华西悬钩子,Rubus stimulans,D.E.Boufford et al.,32664,20050710,四川省,3440,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902497.jpg,,,,,,,,,, +华西悬钩子,Rubus stimulans,倪志诚,73-490,19730629,西藏自治区,3880,山坡路边阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00317257.jpg,,,,,,,,,, +紫红悬钩子,Rubus subinopertus,"J.I.Jeon,H.S.Lee,H.J.Eom, Y.J.Park et B.Liu",SI1414,20100811,四川省,2745,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01993988.jpg,,,,,,,,,, +紫红悬钩子,Rubus subinopertus,滇东北队,84,19720817,云南省,1900,山沟杂木林缘灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01863673.jpg,,,,,,,,,, +黑腺美饰悬钩子,Rubus subornatus var. melanadenus,"韩裕丰,邓坤梅",81-1082,19810710,云南省,3600,亚口平缓处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832283.jpg,,,,,,,,,, +黑腺美饰悬钩子,Rubus subornatus var. melanadenus,D.E.Boufford et al.,28336,19980708,四川省,3500~4000,West facing slopes and seepages in mixed coniferous forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597630.jpg,,,,,,,,,, +红腺悬钩子,Rubus sumatranus,川黔队,366,19560629,重庆市,780,山坡 路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083948.jpg,,,,,,,,,, +红腺悬钩子,Rubus sumatranus,"张志耘,谢磊,张强",2015-200,20150506,广西壮族自治区,280,"valley,road side",,有花有果,https://image.cvh.ac.cn/files/l/PE/02063120.jpg,,,,,,,,,, +红腺悬钩子,Rubus sumatranus,宋克先,90243,20090621,云南省,1420,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902590.jpg,,,,,,,,,, +独龙悬钩子,Rubus taronensis,青藏队,9066,19820808,云南省,1400~1500,山坡 常绿阔叶林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01159735.jpg,,,,,,,,,, +独龙悬钩子,Rubus taronensis,"郭永杰, 吴志坤, 吴兴, 王宇萍, 李志军",14CS9871,20141109,云南,,江边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395187.jpg,,,,,,,,,, +西藏悬钩子,Rubus thibetanus,张志英,4898,19590618,甘肃省,2150,山谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/01902326.jpg,,,,,,,,,, +西藏悬钩子,Rubus thibetanus,Harry Smith,10286,19340629,四川省,1400,"Frutex ramosissimus,metralis in lapidosis apricis",,有花无果,https://image.cvh.ac.cn/files/l/PE/01833108.jpg,,,,,,,,,, +滇西北悬钩子,Rubus treutleri,G.Forrest,8880,19120800,云南省,2667,open situations amongst rocks.,,无花有果,https://image.cvh.ac.cn/files/l/PE/00317921.jpg,,,,,,,,,, +滇西北悬钩子,Rubus treutleri,M.Suzuki etc.,8810981,19880824,,2530,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1261013.jpg,,,,,,,,,, +三色莓,Rubus tricolor,高信芬等,3344,20020911,四川省,3650~3700,常绿阔叶林缘,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833322.jpg,,,,,,,,,, +三色莓,Rubus tricolor,,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01832308.jpg,,,,,,,,,, +三对叶悬钩子,Rubus trijugus,李馨,71424,19570611,四川省,2880,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0342601.jpg,,,,,,,,,, +三对叶悬钩子,Rubus trijugus,C.W.Wang,70711,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0342599.jpg,,,,,,,,,, +三对叶悬钩子,Rubus trijugus,裴盛基,1644,19880531,云南省,1750,岩石,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1266370.jpg,,,,,,,,,, +,Rubus wallichianus,"张志耘,谢磊,张强",2015-190,20150506,广西壮族自治区,280,"valley,road side",,有花无果,https://image.cvh.ac.cn/files/l/PE/02063118.jpg,,,,,,,,,, +,Rubus wallichianus,PE-古蔺考察队,344,20100602,四川省,583~850,阴坡,杂木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01864962.jpg,,,,,,,,,, +,Rubus wallichianus,"张兵,向新",90603005,20090603,湖南省,474,峡谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01863671.jpg,,,,,,,,,, +大花悬钩子,Rubus wardii,陈伟烈,10716,19800628,西藏自治区,2200,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01494487.jpg,,,,,,,,,, +大花悬钩子,Rubus wardii,青藏队,8270,19820721,云南省,2200~2400,山坡 常绿阔叶林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01159741.jpg,,,,,,,,,, +黄果悬钩子,Rubus xanthocarpus,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",203,20020814,云南省,2500,山坡荒地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100136.jpg,,,,,,,,,, +黄果悬钩子,Rubus xanthocarpus,浆果,31,19620619,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091612.jpg,,,,,,,,,, +黑心金光菊,Rudbeckia hirta,张彩飞,2838,20110709,北京市,70,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247679.jpg,,,,,,,,,, +黑心金光菊,Rudbeckia hirta,Richard R.Halse,9560,20140714,,1064,roadside ditch,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110954.jpg,,,,,,,,,, +黑心金光菊,Rudbeckia hirta,刘正宇,17534,19960617,重庆市,630,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834123.jpg,,,,,,,,,, +酸模,Rumex acetosa,,610,19410530,重庆市,400,强酸性土及石灰岩土,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072615.jpg,,,,,,,,,, +酸模,Rumex acetosa,巴山采集队,6012,20120629,四川省,1320,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066010.jpg,,,,,,,,,, +酸模,Rumex acetosa,红水河植物考察队,639,19890430,广西壮族自治区,1000,常绿林缘草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985900.jpg,,,,,,,,,, +,Rumex angulatus,范全,12,19780730,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00408629.jpg,,,,,,,,,, +紫茎酸模,Rumex angulatus,新疆综合考察队,73,19590520,新疆维吾尔自治区,1900,,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0425639.jpg,,,,,,,,,, +紫茎酸模,Rumex angulatus,,74781,,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00173292.jpg,,,,,,,,,, +水生酸模,Rumex aquaticus,孙学刚等,6261,20060805,甘肃省,2543,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832417.jpg,,,,,,,,,, +水生酸模,Rumex aquaticus,,s.n.,19520718,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01806127.jpg,,,,,,,,,, +皱叶酸模,Rumex crispus,石硕等,SZ3800,20140808,河北省,1222,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063217.jpg,,,,,,,,,, +皱叶酸模,Rumex crispus,"Mi-Sook Lee,Ji-Eun Choi",SMD140481,20140708,,13,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062221.jpg,,,,,,,,,, +皱叶酸模,Rumex crispus,云台山采集队,959,20090615,河南省,,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026667.jpg,,,,,,,,,, +齿果酸模,Rumex dentatus,川黔队,444,19560602,重庆市,650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083850.jpg,,,,,,,,,, +齿果酸模,Rumex dentatus,巴山采集队,3041,20100721,四川省,695,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059451.jpg,,,,,,,,,, +齿果酸模,Rumex dentatus,云台山采集队,904,20090615,河南省,,水边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026666.jpg,,,,,,,,,, +,Rumex hastatus,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",996,20021108,云南省,2520,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100173.jpg,,,,,,,,,, +,Rumex hastatus,泛喜马拉雅植物志巴基斯坦采集队,1802,20120916,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005742.jpg,,,,,,,,,, +,Rumex kaschgaricus,徐文斌,黄雪姣,SHI-2008115,20080729,新疆,541,荒漠,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1243925.jpg,,,,,,,,,, +,Rumex kaschgaricus,新疆队,754,19740719,新疆维吾尔自治区,0~800,田边,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00005690.jpg,,,,,,,,,, +喀什酸模,Rumex kaschgaricus,克里木,64,86.08.14,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00004280.jpg,,,,,,,,,, +尼泊尔酸模,Rumex nepalensis,"Li Zhenyu,Jin Xiaohua,Tu Yanli etc.",T021,20160912,西藏自治区,2900,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233338.jpg,,,,,,,,,, +尼泊尔酸模,Rumex nepalensis,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yong",450,20020824,云南省,2550,草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100178.jpg,,,,,,,,,, +尼泊尔酸模,Rumex nepalensis,红广渝,4122,20100731,四川省,1980,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059454.jpg,,,,,,,,,, +巴天酸模,Rumex patientia,D.E.Boufford et al.,41434,20090730,西藏自治区,3350,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898980.jpg,,,,,,,,,, +巴天酸模,Rumex patientia,侯学煜等,10085,19500000,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01804560.jpg,,,,,,,,,, +巴天酸模,Rumex patientia,黄河调查队,70,19540617,甘肃省,1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607607.jpg,,,,,,,,,, +川蔓藻,Ruppia maritima,老铁山采集队(孙英宝等),452,20080713,辽宁省,,水中沉水,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015064.jpg,,,,,,,,,, +川蔓藻,Ruppia maritima,Taku Miyazaki,9708006,19970607,,0,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01915283.jpg,,,,,,,,,, +川蔓藻,Ruppia maritima,"陈耀东,王洪君,王新兵",10,20010602,天津市,,咸水中 密集,,无花有果,https://image.cvh.ac.cn/files/l/PE/01595625.jpg,,,,,,,,,, +钟花清风藤,Sabia campanulata,青藏队植被组,5269,19750714,西藏自治区,2650,东坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01839709.jpg,,,,,,,,,, +钟花清风藤,Sabia campanulata,白龙江考察队,1423,19990527,甘肃省,1700,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01556374.jpg,,,,,,,,,, +钟花清风藤,Sabia campanulata,Koji Yonekura,6779,20010516,,2550,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01523824.jpg,,,,,,,,,, +平伐清风藤,Sabia dielsii,红水河植物考察队,620,19890430,广西壮族自治区,1000,杂林中灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998831.jpg,,,,,,,,,, +平伐清风藤,Sabia dielsii,红水河植物考察队,2269,19890617,云南省,2500,石灰岩 杜鹃-栎树灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998826.jpg,,,,,,,,,, +簇花清风藤,Sabia fasciculata,"覃海宁,王印政等",615,19970415,广西壮族自治区,1450,山坡 疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01998834.jpg,,,,,,,,,, +簇花清风藤,Sabia fasciculata,青藏队,9370,19820815,云南省,1600,山坡常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01820396.jpg,,,,,,,,,, +簇花清风藤,Sabia fasciculata,深圳考察队,317,19970405,广东省,,slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/01401017.jpg,,,,,,,,,, +小花清风藤,Sabia parviflora,红水河植物考察队,480,19890510,广西壮族自治区,800,山地 山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999241.jpg,,,,,,,,,, +小花清风藤,Sabia parviflora,青藏队,7171,19820609,云南省,1700,山坡常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01974521.jpg,,,,,,,,,, +小花清风藤,Sabia parviflora,肖简文,5614,20030427,贵州省,700,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612833.jpg,,,,,,,,,, +四川清风藤,Sabia schumanniana,巴山采集队,5819,20120628,四川省,1270,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066055.jpg,,,,,,,,,, +四川清风藤,Sabia schumanniana,巴山采集队,1136,20080709,重庆市,1110,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02057313.jpg,,,,,,,,,, +四川清风藤,Sabia schumanniana,红水河植物考察队,1134,19890509,广西壮族自治区,1450,常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999231.jpg,,,,,,,,,, +阔叶清风藤,Sabia yunnanensis subsp. latifolia,巴山采集队,5227,20110629,四川省,1760,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872895.jpg,,,,,,,,,, +阔叶清风藤,Sabia yunnanensis subsp. latifolia,武陵队,1342,19880920,湖南省,550,山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01561334.jpg,,,,,,,,,, +阔叶清风藤,Sabia yunnanensis subsp. latifolia,武陵山考察队,2634,19880728,贵州省,1100,沟谷阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01561333.jpg,,,,,,,,,, +斑茅,Saccharum arundinaceum,"刘正宇,张军等",RQHZ05687,20151017,四川省,303,草丛紫色土 荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115263.jpg,,,,,,,,,, +斑茅,Saccharum arundinaceum,Liu Yanchun,534,20101018,云南省,,beside the river,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088964.jpg,,,,,,,,,, +斑茅,Saccharum arundinaceum,"覃海宁,王印政,闫丽春等",576,19980413,广西壮族自治区,850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981357.jpg,,,,,,,,,, +,Saccharum longesetosum,考察队,34475,19821213,云南省,,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854959.jpg,,,,,,,,,, +,Saccharum longesetosum,甘启良,2580,20071006,湖北省,1200,山坡草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01849896.jpg,,,,,,,,,, +,Saccharum longesetosum,K.Biswas,s.n.,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01848893.jpg,,,,,,,,,, +,Saccharum rufipilum,Liu Yanchun,588,20101020,云南省,2336,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089466.jpg,,,,,,,,,, +,Saccharum rufipilum,张寿洲等,904,20130925,四川省,,土生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990539.jpg,,,,,,,,,, +,Saccharum rufipilum,,3-0287,19580800,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855415.jpg,,,,,,,,,, +甜根子草,Saccharum spontaneum,Liu Yanchun,517,20101016,云南省,2201,on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088439.jpg,,,,,,,,,, +甜根子草,Saccharum spontaneum,泛喜马拉雅植物志巴基斯坦采集队,FPH-0630,20120623,,2400,果园,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005547.jpg,,,,,,,,,, +甜根子草,Saccharum spontaneum,谭世鑫,102,20041015,贵州省,1020,山坡灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855404.jpg,,,,,,,,,, +囊颖草属,Sacciolepis indica,"覃海宁,王印政,闫丽春等",685,19980415,广西壮族自治区,1000,山地、山坡、草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981355.jpg,,,,,,,,,, +囊颖草属,Sacciolepis indica,中国科学院西南综考队接壤分队,806,19650927,四川省,2000,疏林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929882.jpg,,,,,,,,,, +囊颖草属,Sacciolepis indica,S. G. Mckenna,SGM294,20080905,,30,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01896504.jpg,,,,,,,,,, +间序囊颖草,Sacciolepis interrupta,"彭华, 向春雷, 陈丽等",PengH8069,20081005,云南,2300,次生林,针阔混交林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1457630.jpg,,,,,,,,,, +间序囊颖草,Sacciolepis interrupta,C.W.Wang,77111,19360600,云南省 ,1400,,,有花有果,https://image.cvh.ac.cn/files/l/LBG/00099526.jpg,,,,,,,,,, +鼠尾囊颖草,Sacciolepis myosuroides,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",321,20020815,云南省,2550,山坡次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102151.jpg,,,,,,,,,, +鼠尾囊颖草,Sacciolepis myosuroides,S.J.Blake,9362,19350614,,,in melaleuca swamp about sea level,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067034.jpg,,,,,,,,,, +鼠尾囊颖草,Sacciolepis myosuroides,北京队,897500,19890929,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981354.jpg,,,,,,,,,, +窄叶雀梅藤,Sageretia brandrethiana,于胜祥等,4629,20110730,四川省,2923,干热山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01924575.jpg,,,,,,,,,, +窄叶雀梅藤,Sageretia brandrethiana,中甸队,1248,19620818,云南省,1760,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01368362.jpg,,,,,,,,,, +,Sageretia filiformis,武素功,2433,19590906,四川省,1900~2280,"路边,灌丛中",灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0450739.jpg,,,,,,,,,, +,Sageretia filiformis,高信芬、涂卫国、何海、乔永康,6880,20030903,西藏自治区,1400,路边灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190258.jpg,,,,,,,,,, +雀梅藤属,Sageretia filiformis,倪志诚 汪永泽 次多 次旦,1655,19800915,西藏,2150,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0004476.jpg,,,,,,,,,, +纤细雀梅藤,Sageretia gracilis,Anonymous,Q1,197308,广西壮族自治区,700,石灰岩山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999558.jpg,,,,,,,,,, +纤细雀梅藤,Sageretia gracilis,"税玉民,陈文红,盛家舒等",20506,20000325,云南省,800,in the limestone seasonary forests,,无花有果,https://image.cvh.ac.cn/files/l/PE/01878115.jpg,,,,,,,,,, +纤细雀梅藤,Sageretia gracilis,,76-533,19760818,西藏自治区,2500,阔叶杂木林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01637996.jpg,,,,,,,,,, +钩刺雀梅藤,Sageretia hamosa,江西队,2717,19541021,江西省,,山坡 灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072215.jpg,,,,,,,,,, +钩刺雀梅藤,Sageretia hamosa,Anonymous,Q30,196604,广西壮族自治区,400,石灰岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01999576.jpg,,,,,,,,,, +梗花雀梅藤,Sageretia henryi,"万涛,周世良等",1347,20140321,四川省,,山谷 疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021230.jpg,,,,,,,,,, +梗花雀梅藤,Sageretia henryi,"李振宇,闫丽春,农必明等",1782,19981030,广西壮族自治区,920,石山 石灰岩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999413.jpg,,,,,,,,,, +凹叶雀梅藤,Sageretia horrida,"于胜祥,候元同等",5135,20110809,四川省,,沿途路旁山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003567.jpg,,,,,,,,,, +凹叶雀梅藤,Sageretia horrida,"于胜祥,候元同等",5240,20110811,西藏自治区,3856,沿途路旁山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003556.jpg,,,,,,,,,, +少脉雀梅藤,Sageretia paucicostata,孔冬梅,k0289,20140708,山西省,980,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035389.jpg,,,,,,,,,, +少脉雀梅藤,Sageretia paucicostata,云台山采集队,1170,20090820,河南省,1050~1150,路边林下坡地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02026304.jpg,,,,,,,,,, +少脉雀梅藤,Sageretia paucicostata,D.E.Boufford et al.,39907,20070817,四川省,2365~2870,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983712.jpg,,,,,,,,,, +对节刺,Sageretia pycnophylla,黄河队,4075,19560524,甘肃省,,半山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078516.jpg,,,,,,,,,, +对节刺,Sageretia pycnophylla,山西队,651,19540722,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067557.jpg,,,,,,,,,, +对节刺,Sageretia pycnophylla,云台山采集队,1079,20090800,河南省,,路边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040808.jpg,,,,,,,,,, +雀梅藤,Sageretia thea var. thea,董青松、韦树根、闫志刚、姚绍嫦,451423121227007LY,20121227,广西壮族自治区,,灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0121358.jpg,,,,,,,,,, +雀梅藤(原变种),Sageretia thea var. thea,容县普查队,450921180308050LY,20180308,广西,119.6,灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0204757.jpg,,,,,,,,,, +毛叶雀梅藤,Sageretia thea var. tomentosa,"张钢民,傅德志等",603,20020913,四川省,1600,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01650008.jpg,,,,,,,,,, +毛叶雀梅藤,Sageretia thea var. tomentosa,George Forrest,30900,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01637181.jpg,,,,,,,,,, +毛叶雀梅藤,Sageretia thea var. tomentosa,叶德闲,1291,19580802,江苏省,,田埂小路坟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01637180.jpg,,,,,,,,,, +漆姑草,Sagina japonica,"H.Li,S.X.Yang,R.Li etc.",1207,20021112,云南省,2530,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109105.jpg,,,,,,,,,, +漆姑草,Sagina japonica,何明友 谭仲明,117063,19830504,四川省,1200,草坪,,有花有果,https://image.cvh.ac.cn/files/l/PE/02096041.jpg,,,,,,,,,, +漆姑草,Sagina japonica,巴山采集队,4228,20100803,陕西省,995,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059168.jpg,,,,,,,,,, +无毛漆姑草,Sagina saginoides,黄河调查队,6569,19560608,陕西省,,沟底 潮地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01614397.jpg,,,,,,,,,, +无毛漆姑草,Sagina saginoides,李渤生,5695,19830721,西藏自治区,3600,林内草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468214.jpg,,,,,,,,,, +无毛漆姑草,Sagina saginoides,Miyoshi Furuse,9325,19750804,,1400~1530,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01104441.jpg,,,,,,,,,, +野慈姑,Sagittaria trifolia,C.M.Wang,4226,20000530,台湾省,147,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110131.jpg,,,,,,,,,, +野慈姑,Sagittaria trifolia,黄河队,7225,19560707,内蒙古自治区,,水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060843.jpg,,,,,,,,,, +野慈姑,Sagittaria trifolia,北京队,896419,19890913,广西壮族自治区,890,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981134.jpg,,,,,,,,,, +盐角草,Salicornia europaea,覃海宁等,19746,20080813,江苏省,0,滩涂地,盐碱地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01958493.jpg,,,,,,,,,, +盐角草,Salicornia europaea,"Park,Soo-Hyun; Jeong,Su-Yeong; Byeon,Gyeong-Nyeol",ParkSH102810,20101007,,16,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01898750.jpg,,,,,,,,,, +盐角草,Salicornia europaea,,11941,19501005,辽宁省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01846246.jpg,,,,,,,,,, +,Salix acuminatomicrophylla,,76-392,19760720,西藏自治区,4000,高山灌丛 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658395.jpg,,,,,,,,,, +,Salix acuminatomicrophylla,中英苍山植物考察队,731,19810518,云南省,3150,山顶,灌丛,草地,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0523249.jpg,,,,,,,,,, +秦岭柳,Salix alfredi,,武162,19720715,河北省,1700,阴坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01218112.jpg,,,,,,,,,, +秦岭柳,Salix alfredi,中国科学院青甘调查队,2485,19600614,青海省,2850,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00704552.jpg,,,,,,,,,, +秦岭柳,Salix alfredi,崔友文,10328,19630618,甘肃省,2300,山地、山坡、灌木丛中、阴处,,无花无果,https://image.cvh.ac.cn/files/l/PE/00704551.jpg,,,,,,,,,, +九鼎柳,Salix amphibola,西北师范学院博物系,77,19500000,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00704553.jpg,,,,,,,,,, +九鼎柳,Salix amphibola,谢朝俊,40269,19550000,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0346815.jpg,,,,,,,,,, +九鼎柳,Salix amphibola,Y.Y.Pai,2109,19350617,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0075022.jpg,,,,,,,,,, +齿苞矮柳,Salix annulifera var. dentata,T.T.Yu,19794,19380808,云南省,4000,Side of mt.stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/00704693.jpg,,,,,,,,,, +匙叶矮柳,Salix annulifera var. macriula,"李渤生,程树志",596,19820904,西藏自治区,3500~3600,冷杉林缘 灌丛草甸近河边常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01490871.jpg,,,,,,,,,, +匙叶矮柳,Salix annulifera var. macriula,T.T.Yu,22387,19380818,云南省,4000,Mt.rocky place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00704664.jpg,,,,,,,,,, +圆齿垫柳,Salix anticecrenata,北京所横断山队,2262,19810729,云南省,3900~4100,高山 草甸中阴坡时见与Rhododendron共生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01518305.jpg,,,,,,,,,, +圆齿垫柳,Salix anticecrenata,"程树志,李渤生",131,19820815,西藏自治区,4100~4200,高山 灌丛草甸带中近水石上时石优势群落,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490856.jpg,,,,,,,,,, +银柳,Salix argyracea,"李渤生,杜泽泉,张百平",11565,19870915,新疆维吾尔自治区,3500,河滩 优势灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01341505.jpg,,,,,,,,,, +银光柳,Salix argyrophegga,"蒋兴麟,熊济华",34187,19530519,四川省,3000,河边岩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00704828.jpg,,,,,,,,,, +银毛果柳,Salix argyrotrichocarpa,李文华等,76-371,19760717,西藏自治区,3900,冰川,,有花有果,https://image.cvh.ac.cn/files/l/PE/00704829.jpg,,,,,,,,,, +奇花柳,Salix atopantha,孙学刚等,20010002,20010520,甘肃省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801558.jpg,,,,,,,,,, +奇花柳,Salix atopantha,生态室高原组,10491,19800616,西藏自治区,4100,山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490858.jpg,,,,,,,,,, +奇花柳,Salix atopantha,青藏队横断山队,5850,19810830,四川省,4500,山坡 路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057884.jpg,,,,,,,,,, +白背柳,Salix balfouriana,生态室高原组,15629,19800917,西藏自治区,4100,林缘灌丛优势种之一,,无花无果,https://image.cvh.ac.cn/files/l/PE/01490885.jpg,,,,,,,,,, +白背柳,Salix balfouriana,四川省植被调查队,乡2722,19730623,四川省,3900,公路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057458.jpg,,,,,,,,,, +白背柳,Salix balfouriana,青藏队,7239,19820610,云南省,1900~2100,山坡 常绿阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057456.jpg,,,,,,,,,, +班公柳,Salix bangongensis,青藏队,吴玉虎,870128,19870624,新疆维吾尔自治区,3400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/144035.jpg,,,,,,,,,, +班公柳,Salix bangongensis,生物研究所西藏考察队,3638,19740712,西藏自治区,4600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/40483.jpg,,,,,,,,,, +班公柳,Salix bangongensis,赵士洞,2934,19840423,,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/03303999y0033.jpg,,,,,,,,,, +,Salix bhutanensis,PE西藏考察队,7921,20180626,西藏自治区,3081~3206,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333351.jpg,,,,,,,,,, +庙王柳,Salix biondiana,钟补求,8344,19580702,青海省,,杂林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00705285.jpg,,,,,,,,,, +庙王柳,Salix biondiana,T.P.Wang,1843,19330805,陕西省,3600~3800,on high summit,,无花有果,https://image.cvh.ac.cn/files/l/PE/00705279.jpg,,,,,,,,,, +庙王柳,Salix biondiana,Hoo et Wang,12448,1941/8/8,甘肃,3200,,shrub,有花无果,https://image.cvh.ac.cn/files/l/WUK/0080128.jpg,,,,,,,,,, +双柱柳,Salix bistyla,北京所横断山队,2675,19810805,云南省,2900,白水河 砾石河滩时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01518311.jpg,,,,,,,,,, +双柱柳,Salix bistyla,,689,19730810,西藏自治区,2500,河岸漫滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00705307.jpg,,,,,,,,,, +贡山长柄垫柳,Salix calyculata var. gongshanica,青藏队,10643,19820926,西藏自治区,4200,山坡 灌丛 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057481.jpg,,,,,,,,,, +贡山长柄垫柳,Salix calyculata var. gongshanica,青藏队横断山队,4061,19810813,四川省,4600~4700,山坡 灌丛草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01057480.jpg,,,,,,,,,, +蓝叶柳,Salix capusii,"清水建美,近田文弘等",350,19910729,新疆维吾尔自治区,2600,冰川沟谷 山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01467517.jpg,,,,,,,,,, +中华柳,Salix cathayana,刘冰,726,20070502,河北省,1511,河边灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044073.jpg,,,,,,,,,, +中华柳,Salix cathayana,孙学刚等,2541,20010723,甘肃省,2820~2900,沟谷山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800900.jpg,,,,,,,,,, +中华柳,Salix cathayana,H.H.Chung,s.n.,19170825,,,Cult.,,无花无果,https://image.cvh.ac.cn/files/l/PE/01626606.jpg,,,,,,,,,, +云南柳,Salix cavaleriei,"刘静,袁明",MY-115,20071130,四川省,1723,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101846.jpg,,,,,,,,,, +云南柳,Salix cavaleriei,中苏调查团,6302,19550512,云南省,900,荒地潮湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090052.jpg,,,,,,,,,, +云南柳,Salix cavaleriei,中越考察队,1406,19650115,,100,田边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01626607.jpg,,,,,,,,,, +密齿柳,Salix characta,河西队,250,19670823,甘肃省,3000~3400,山顶草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00720030.jpg,,,,,,,,,, +密齿柳,Salix characta,黄河调查队,1,19540913,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00720025.jpg,,,,,,,,,, +密齿柳,Salix characta,普查标本,尹6048,19590717,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00720018.jpg,,,,,,,,,, +乌柳,Salix cheilophila var. cheilophila,冯自诚,184,19590817,甘肃,1280,小渠旁,灌木,有花无果,https://image.cvh.ac.cn/files/l/NF/NF2018790.jpg,,,,,,,,,, +乌柳,Salix cheilophila var. cheilophila,,81,19840622,河北,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2018794.jpg,,,,,,,,,, +乌柳,Salix cheilophila var. cheilophila,,GLB061,19850807,内蒙古,1000,海边 湿地,灌木,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2018795.jpg,,,,,,,,,, +秦柳,Salix chingiana,邢吉庆,2091,19590523,陕西省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0347203.jpg,,,,,,,,,, +秦柳,Salix chingiana,胡志新,683A,19760518,甘肃省,950,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0347205.jpg,,,,,,,,,, +栅枝垫柳,Salix clathrata,北京所横断山队,2101,19810728,云南省,4100,高山小叶 Rhododendron 灌丛中常见伴生种,,无花无果,https://image.cvh.ac.cn/files/l/PE/01057514.jpg,,,,,,,,,, +栅枝垫柳,Salix clathrata,青藏队,74-2742,19741002,西藏自治区,4260,沼泽化草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00720488.jpg,,,,,,,,,, +怒江矮柳,Salix coggygria,生态室高原组,10304,19800624,西藏自治区,3800,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490863.jpg,,,,,,,,,, +怒江矮柳,Salix coggygria,青藏队,8460,19820724,云南省,3600,山坡灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057518.jpg,,,,,,,,,, +锯齿叶垫柳,Salix crenata,FLPH Tibet Expedition,12-1790,20120919,西藏自治区,4000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01967656.jpg,,,,,,,,,, +锯齿叶垫柳,Salix crenata,北京所横断山队,3630,19810824,云南省,4150~4400,高山灌丛草甸带固定流石滩 局部占优势,,无花无果,https://image.cvh.ac.cn/files/l/PE/01057520.jpg,,,,,,,,,, +大理柳,Salix daliensis,FLPH Tibet Expedition,12-2101,,西藏自治区,3000~3300,山谷林缘灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967672.jpg,,,,,,,,,, +大理柳,Salix daliensis,,20,19650418,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802349.jpg,,,,,,,,,, +褐背柳,Salix daltoniana,PE西藏考察队,7655,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333968.jpg,,,,,,,,,, +节枝柳,Salix dalungensis,傅国勋,490,19600802,西藏自治区,4400,山脚、水沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00720775.jpg,,,,,,,,,, +,Salix dalungensis,高信芬、涂卫国、何海、乔永康,6753,20030831,西藏,4370,高山灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189719.jpg,,,,,,,,,, +腹毛柳,Salix delavayana var. delavayana,汤庚国,1513,19890705,西藏,4000,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/NF/NF2018676.jpg,,,,,,,,,, +齿叶柳,Salix denticulata,川经植,德 7104,19740622,四川省,3600,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00720960.jpg,,,,,,,,,, +齿叶柳,Salix denticulata,四川植被调查队,昌 7001,19740619,西藏自治区,3400,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00720959.jpg,,,,,,,,,, +齿叶柳,Salix denticulata,Y.Ling,13886,19490414,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0347265.jpg,,,,,,,,,, +异色柳,Salix dibapha,青藏队,284,19810602,云南省,3200,冷杉林 云杉林 杜鹃高山栎 生山坡和山沟林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057571.jpg,,,,,,,,,, +异色柳,Salix dibapha,"赵士洞,陈庆恒",826,19730531,四川省,4250,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/00721010.jpg,,,,,,,,,, +异色柳,Salix dibapha,"应俊生,洪德元",650050,19650504,西藏自治区,2680,泥石流砂石滩上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00720974.jpg,,,,,,,,,, +异型柳,Salix dissa,青藏队,10946,19821003,西藏自治区,2600~2700,山坡 云南松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057567.jpg,,,,,,,,,, +异型柳,Salix dissa,青藏队,204,19810601,云南省,2985,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057565.jpg,,,,,,,,,, +异型柳,Salix dissa,T.T.Yu,6156,19370612,四川省,3250,under woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00721053.jpg,,,,,,,,,, +叉柱柳,Salix divergentistyla,青藏队横断山队,3948,19810809,四川省,3850,山沟内 阴湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057568.jpg,,,,,,,,,, +叉柱柳,Salix divergentistyla,"李文华 韩裕丰 桑杰/Li Wen-hua,Han Yu-feng & Sang Jie",854,19730814,西藏自治区,3400,潮湿山谷,小乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00721313.jpg,,,,,,,,,, +林柳,Salix driophila,"应俊生,洪德元",650051,19650504,西藏自治区,2680,泥石流砂石滩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00721121.jpg,,,,,,,,,, +林柳,Salix driophila,"方振富,赵土洞",410,19730421,云南省,3000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00721118.jpg,,,,,,,,,, +林柳,Salix driophila,,40158,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00721114.jpg,,,,,,,,,, +,Salix ernestii,杨红梅等,1467,20140420,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918916.jpg,,,,,,,,,, +,Salix ernestii,"陈元昌,徐荣华,罗文富,王兰新,王美楠,蔡杰",13PXB021,20130619,云南省,3828,冷杉杜鹃林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1325794.jpg,,,,,,,,,, +山羊柳,Salix fedtschenkoi,秦仁昌,新3187,19560916,新疆维吾尔自治区,2250,成片生于高山凹地、潮湿、沟谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/00721484.jpg,,,,,,,,,, +山羊柳,Salix fedtschenkoi,,88,19590417,四川,250,沟溪边,乔木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM701500268.jpg,,,,,,,,,, +山羊柳,Salix fedtschenkoi,,,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/056027683.jpg,,,,,,,,,, +,Salix fengiana var. gymnocarpa,北京所横断山队,3799,19810825,云南省,3800,冷杉林伐常见灌木,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057579.jpg,,,,,,,,,, +裸果贡山柳,Salix fengiana var. gymnocarpa,碧江考察队,1114,19780714,云南,3600,高山石间,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1208246.jpg,,,,,,,,,, +扇叶垫柳,Salix flabellaris,Harry Smith,3327,19220721,四川省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01605023.jpg,,,,,,,,,, +扇叶垫柳,Salix flabellaris,"李渤生,程树志等",694,19820905,西藏自治区,4100~4300,高山 灌丛草甸中成分,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490807.jpg,,,,,,,,,, +扇叶垫柳,Salix flabellaris,秦仁昌,25040,19291017,云南省,4250,石岩上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00721497.jpg,,,,,,,,,, +吉拉柳,Salix gilashanica,PE西藏队,PE6844,20170917,西藏自治区,3971,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293839.jpg,,,,,,,,,, +吉拉柳,Salix gilashanica,北京所横断山队,1987,19810723,云南省,4000~4200,高山草甸带局部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518332.jpg,,,,,,,,,, +细序柳,Salix guebriantiana,谢朝俊,39938,19550418,四川省,2500,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0175852.jpg,,,,,,,,,, +细序柳,Salix guebriantiana,杨文光,DT6634,20190421,四川,650,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512852.jpg,,,,,,,,,, +江达柳,Salix gyamdaensis,青藏队,10468,19820918,西藏自治区,3500,山坡 云杉 林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057592.jpg,,,,,,,,,, +江达柳,Salix gyamdaensis,郎楷永 李良千等,2641,19830802,四川省,4200,河边灌丛优势种,,有花无果,https://image.cvh.ac.cn/files/l/PE/00721920.jpg,,,,,,,,,, +吉隆垫柳,Salix gyirongensis,刘照光,4454,1974-6 4,四川省,4500,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0010692.jpg,,,,,,,,,, +吉隆垫柳,Salix gyirongensis,溥发鼎、曹亚玲,2940,1989-8 1,贵州省,900,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0062229.jpg,,,,,,,,,, +吉隆垫柳,Salix gyirongensis,余奇、周晓雪、黎怀成,THP-KD-4557,20170716,四川,3768~4074,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243385.jpg,,,,,,,,,, +黑水柳,Salix heishuiensis,"张秀实,任有铣",4635,19580517,四川省,1800,林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00742158.jpg,,,,,,,,,, +毛枝垫柳,Salix hirticaulis,谢朝俊,39590,19550000,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0347718.jpg,,,,,,,,,, +毛枝垫柳,Salix hirticaulis,俞德浚,19865,19390000,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0524798.jpg,,,,,,,,,, +毛枝垫柳,Salix hirticaulis,冯国楣,7679,19400410,云南省,3500~3700,岩坡上,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0524793.jpg,,,,,,,,,, +川柳,Salix hylonoma,青藏队,6801,19820524,云南省,3100,山坡 桦木樱桃林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057597.jpg,,,,,,,,,, +川柳,Salix hylonoma,鄂神农架植考队,10493,19760621,湖北省,2400,山地 北坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00990418.jpg,,,,,,,,,, +川柳,Salix hylonoma,T.Naito et al. ,704,19860507,西藏自治区,3500,On sunny slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00742216.jpg,,,,,,,,,, +小叶柳,Salix hypoleuca,黄河队,4940,19560615,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082288.jpg,,,,,,,,,, +小叶柳,Salix hypoleuca,C.S.Chang et al.,SI1142,20100704,四川省,1654,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900428.jpg,,,,,,,,,, +小叶柳,Salix hypoleuca,秦岭队,931,19590905,陕西省,,阴处 路旁 灌木丛中 野生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01609287.jpg,,,,,,,,,, +伊犁柳,Salix iliensis,,K081,19870901,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01341523.jpg,,,,,,,,,, +藏西柳,Salix insignis,FLPH Tibet Expedition,12-0177,20120904,西藏自治区,3785,河谷灌丛草坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01967649.jpg,,,,,,,,,, +藏西柳,Salix insignis,Y.Iokawa etc.,20320040,20030626,,3450,Between Jharkot and Khingar south side of Jhong Khola,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1264465.jpg,,,,,,,,,, +,Salix jinchuanica,"张秀实,任有铣",6541,19580813,四川省,4200,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636155.jpg,,,,,,,,,, +金川柳,Salix jinchuanica,高信芬,鞠文彬,郑臣臣,THP-KD-5746,20170809,四川,4427,草地灌丛,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244249.jpg,,,,,,,,,, +光果贵南柳,Salix juparica var. tibetica,李馨,71620,19570620,四川省,3600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636167.jpg,,,,,,,,,, +光果贵南柳,Salix juparica var. tibetica,藏药队,1194,19720730,青海省,3800,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636161.jpg,,,,,,,,,, +光果贵南柳,Salix juparica var. tibetica,王作宾,4354,19370721,甘肃省,3200,山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636156.jpg,,,,,,,,,, +卡马垫柳,Salix kamanica,陈伟烈,15173,19800924,西藏自治区,3900,灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490828.jpg,,,,,,,,,, +卡马垫柳,Salix kamanica,俞德俊,19857,19380810,云南省,3900,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00636170.jpg,,,,,,,,,, +康定垫柳,Salix kangdingensis,曲桂齡,7134,,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00636174.jpg,,,,,,,,,, +康定垫柳,Salix kangdingensis,青藏队,1103,19810615,云南省,0,流石滩上,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0526477.jpg,,,,,,,,,, +,Salix karelinii,林叶部,天昭050,19570622,新疆维吾尔自治区,2900,"高山,草地",,无花有果,https://image.cvh.ac.cn/files/l/PE/00733007.jpg,,,,,,,,,, +,Salix karelinii,西藏中草药普查队,42,19720601,西藏自治区,2900,林缘山麓,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636180.jpg,,,,,,,,,, +康巴柳,Salix kongbanica,钟补求,6107,19530811,西藏自治区,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00636577.jpg,,,,,,,,,, +拉马山柳,Salix lamashanensis,白龙江考察队,946,19980728,甘肃省,3145,山地 山坡 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01560913.jpg,,,,,,,,,, +拉马山柳,Salix lamashanensis,Chen Zhiduan et al.,960786,19960530,重庆市,2200~2370,"dry slope,in deciduous forest",,无花有果,https://image.cvh.ac.cn/files/l/PE/00636343.jpg,,,,,,,,,, +拉马山柳,Salix lamashanensis,"郭本兆,王为义",11555,19750721,青海省,2800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636342.jpg,,,,,,,,,, +白毛柳,Salix lanifera,"方振富,赵土洞",680,19730519,四川省,3800,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636345.jpg,,,,,,,,,, +白毛柳,Salix lanifera,西藏考察队,65,19730526,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/83188.jpg,,,,,,,,,, +毛柄柳,Salix lasiopes,西藏综考队,2414,19610521,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636358.jpg,,,,,,,,,, +青藏垫柳,Salix lindleyana,FLPH Tibet Expedition,12-1410,20120917,西藏自治区,4500~4700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967667.jpg,,,,,,,,,, +青藏垫柳,Salix lindleyana,"郎楷永,李良千,费勇",1781,19830613,四川省,3300,泉哗水中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01057620.jpg,,,,,,,,,, +青藏垫柳,Salix lindleyana,俞德俊,22242,19380919,云南省,3900,岩坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00732247.jpg,,,,,,,,,, +长花柳,Salix longiflora,PE西藏考察队,7106,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333350.jpg,,,,,,,,,, +长花柳,Salix longiflora,C.S.Chang et al.,SI09670,20100702,四川省,3768,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900544.jpg,,,,,,,,,, +长花柳,Salix longiflora,北京所横断山队,1137,19810626,云南省,3000,铁杉林缘 常见灌木,,无花有果,https://image.cvh.ac.cn/files/l/PE/01518341.jpg,,,,,,,,,, +长蕊柳,Salix longistamina,傅国勋 张经纬,16,19600508,西藏自治区,3758,栽培,小乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/00636580.jpg,,,,,,,,,, +长蕊柳,Salix longistamina,王新光,5,19590421,四川省,0~660,,,有花无果,https://image.cvh.ac.cn/files/l/N/056027344.jpg,,,,,,,,,, +丝毛柳,Salix luctuosa,"傅德志,陈淑荣等",1391,20140420,四川省,,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021285.jpg,,,,,,,,,, +丝毛柳,Salix luctuosa,白龙江考察队,845,19980726,甘肃省,2700,山地 山谷 灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01560911.jpg,,,,,,,,,, +,Salix maerkangensis,李馨,77152,19580417,四川省,2500,"阴山,山腰",,无花有果,https://image.cvh.ac.cn/files/l/PE/00637048.jpg,,,,,,,,,, +倒卵叶大叶柳,Salix magnifica var. apetala,李文华等,H82-073,19820604,四川省,2400,针阔混交林,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057644.jpg,,,,,,,,,, +大叶柳(原变种),Salix magnifica var. magnifica,蔡杰,刘成,何谐,吕林玲,16CS11755,20160828,四川,2788,路边灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1435411.jpg,,,,,,,,,, +大叶柳,Salix magnifica var. magnifica,郭从风,4006,19421020,湖南,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2018902.jpg,,,,,,,,,, +卷毛大叶柳,Salix magnifica var. ulotricha,F.T.Wang,20974,19300526,四川省,2360,"山谷,溪边",,无花有果,https://image.cvh.ac.cn/files/l/PE/00637095.jpg,,,,,,,,,, +卷毛大叶柳,Salix magnifica var. ulotricha,F.T.Wang,20973,1930/5/26,四川,2340,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0047877.jpg,,,,,,,,,, +墨竹柳,Salix maizhokunggarensis,PE西藏队,PE6660,20170914,西藏自治区,3934,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293858.jpg,,,,,,,,,, +墨竹柳,Salix maizhokunggarensis,于兆英等,1234,19730720,云南省,4500,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00637098.jpg,,,,,,,,,, +墨竹柳,Salix maizhokunggarensis,应俊生,4208,19600629,四川省,3800,疏林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00637097.jpg,,,,,,,,,, +旱柳,Salix matsudana,黄河队,8039,19560807,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082069.jpg,,,,,,,,,, +旱柳,Salix matsudana,黄河队,5706,19560807,甘肃省,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082061.jpg,,,,,,,,,, +旱柳,Salix matsudana,孔冬梅,k0041,20140413,山西省,987,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015277.jpg,,,,,,,,,, +墨脱柳,Salix medogensis,生态室高原组,10220,19800620,西藏自治区,,云杉林下常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490819.jpg,,,,,,,,,, +墨脱柳,Salix medogensis,T.T.Yu,11837,19380628,云南省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0348145.jpg,,,,,,,,,, +墨脱柳,Salix medogensis,C.W.Wang,66496,19350000,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0348142.jpg,,,,,,,,,, +宝兴矮柳,Salix microphyta,黄河队,183,19540630,甘肃省,1380,山谷阴处灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067591.jpg,,,,,,,,,, +宝兴矮柳,Salix microphyta,俞德俊,22632,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00637591.jpg,,,,,,,,,, +宝兴矮柳,Salix microphyta,李谱雄,10768,19580711,四川省,3700,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00637589.jpg,,,,,,,,,, +岷江柳,Salix minjiangensis,黄河队,3177,19570601,甘肃省,2600,山坡阴处疏林,灌木直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0091576.jpg,,,,,,,,,, +岷江柳,Salix minjiangensis,张鸿昌,84171,198406??,青海省,2470,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/0210020.jpg,,,,,,,,,, +宝兴柳,Salix moupinensis,中苏调查团,1985,19550622,四川省,1700,"山谷,疏林中,峻坡",,无花有果,https://image.cvh.ac.cn/files/l/PE/00637707.jpg,,,,,,,,,, +木里柳,Salix muliensis,北京所横断山队,2874,19810810,云南省,3900~4100,高山流石滩上部 灌丛斑块中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518345.jpg,,,,,,,,,, +木里柳,Salix muliensis,"赵士洞,方振富",949,19730608,四川省,4000,"山脚,阳坡",,无花有果,https://image.cvh.ac.cn/files/l/PE/00637933.jpg,,,,,,,,,, +木里柳,Salix muliensis,倪志诚等,1325,19800825,西藏自治区,2750,"山坡,高山栎林中",,无花无果,https://image.cvh.ac.cn/files/l/PE/00637737.jpg,,,,,,,,,, +坡柳,Salix myrtillacea,PE西藏考察队,7193,20180612,西藏自治区,3045~3398,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333242.jpg,,,,,,,,,, +坡柳,Salix myrtillacea,孙学刚等,20010049,20010521,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800904.jpg,,,,,,,,,, +坡柳,Salix myrtillacea,北京植物所横断山队,1722,19810720,云南省,3100,沟边 优势灌丛 沼泽地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01518346.jpg,,,,,,,,,, +,Salix nujiangensis,青藏队,8793,19820726,云南省,3000,山坡 Tsuga林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01057675.jpg,,,,,,,,,, +怒江柳,Salix nujiangensis,T.Naito. et al.,862,19860512,西藏自治区,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00637931.jpg,,,,,,,,,, +毛坡柳,Salix obscura,D.E.Boufford et al.,37793,20070520,甘肃省,2400~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814839.jpg,,,,,,,,,, +毛坡柳,Salix obscura,B.Bartholomew et al.,1565,19840506,,2650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01660774.jpg,,,,,,,,,, +毛坡柳,Salix obscura,青藏队补点组,750160,19750602,西藏自治区,3000,林间空地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00637943.jpg,,,,,,,,,, +华西柳,Salix occidentali-sinensis,青藏队横断山队,1442,19810624,云南省,3400~3500,云杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057678.jpg,,,,,,,,,, +华西柳,Salix occidentali-sinensis,青藏队,5408,19810827,四川省,4100,山沟 水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057676.jpg,,,,,,,,,, +汶川柳,Salix ochetophylla,陈明洪等,981060,19980700,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859610.jpg,,,,,,,,,, +汶川柳,Salix ochetophylla,,76-25,19760531,西藏自治区,3600,"谷地,河边",,无花有果,https://image.cvh.ac.cn/files/l/PE/00732001.jpg,,,,,,,,,, +迟花柳,Salix opsimantha,秦岭队,1070,19590930,陕西省,3150,山坡 半阳处 密林下 野生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01609235.jpg,,,,,,,,,, +迟花柳,Salix opsimantha,青藏队,2215,19810708,云南省,2900~3000,华山松林,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057688.jpg,,,,,,,,,, +迟花柳,Salix opsimantha,青藏队,10464,19820918,西藏自治区,3500,山坡 云杉 林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057685.jpg,,,,,,,,,, +迟花矮柳,Salix oreinoma,北京所横断山队,3750,19810825,云南省,3600~3800,冷杉林内 灌丛 草甸时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518349.jpg,,,,,,,,,, +迟花矮柳,Salix oreinoma,"李渤生,李辉",14320,19901023,西藏自治区,3600,高山 林缘 灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01341385.jpg,,,,,,,,,, +卵小叶垫柳,Salix ovatomicrophylla,FLPH Tibet Expedition,12-0387,20120909,西藏自治区,4500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01967660.jpg,,,,,,,,,, +卵小叶垫柳,Salix ovatomicrophylla,北京所横断山队,1998,19810723,云南省,4200~4300,高山 草甸 石隙处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01447764.jpg,,,,,,,,,, +类扇叶垫柳,Salix paraflabellaris,青藏队,5473,19750604,西藏自治区,4000,"灌丛中,山坡",,无花有果,https://image.cvh.ac.cn/files/l/PE/00732252.jpg,,,,,,,,,, +类扇叶垫柳,Salix paraflabellaris,T.T.Yu,19354,19380713,云南省,4000,upon precipuous rock,creeping shrub,有花无果,https://image.cvh.ac.cn/files/l/PE/00732250.jpg,,,,,,,,,, +藏紫枝柳,Salix paraheterochroma,西藏中草药普查队,1526,19720826,西藏自治区,3400,林内,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00732253.jpg,,,,,,,,,, +藏紫枝柳,Salix paraheterochroma,方震东,刘琳,李红,和光,史效武,赵卫东,程杰,K-2577,20021015,云南省,1072,滇西北苔草-点地梅群落,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007410.jpg,,,,,,,,,, +康定柳,Salix paraplesia var. paraplesia,W.F.Fang,4012,19280806,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2018992.jpg,,,,,,,,,, +康定柳,Salix paraplesia var. paraplesia,崔季平,,19590822,山西,,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2018993.jpg,,,,,,,,,, +康定柳,Salix paraplesia var. paraplesia,张峰杰,10,19840700,陕西,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2018997.jpg,,,,,,,,,, +毛枝康定柳,Salix paraplesia var. pubescens,白龙江考察队,1785,19990603,甘肃省,2950,山谷 草垫,,有花有果,https://image.cvh.ac.cn/files/l/PE/01560892.jpg,,,,,,,,,, +康定柳,Salix paraplesia var. pubescens,T . P . Wang,4581,1936/6/26,甘肃,2200,,shrub,有花无果,https://image.cvh.ac.cn/files/l/WUK/0062249.jpg,,,,,,,,,, +小齿叶柳,Salix parvidenticulata,李文华等,75-259,19750620,西藏自治区,2400,,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00732527.jpg,,,,,,,,,, +小齿叶柳,Salix parvidenticulata,李永康,10012,19820306,贵州省,700,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0348306.jpg,,,,,,,,,, +小齿叶柳,Salix parvidenticulata,李国风,60674,19570422,四川省,1100,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0525646.jpg,,,,,,,,,, +黑枝柳,Salix pella,茂汶组,2520,19590613,四川省,3300,"高山,杂木林中",,无花有果,https://image.cvh.ac.cn/files/l/PE/00732528.jpg,,,,,,,,,, +黑枝柳,Salix pella,冯国楣,4056,19400521,云南省,2900~3100,"沟边,杂林中",,无花有果,https://image.cvh.ac.cn/files/l/PE/00732529.jpg,,,,,,,,,, +五蕊柳,Salix pentandra,赤峰采集队,2-Z37,20080727,内蒙古自治区,1352,水边林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02012074.jpg,,,,,,,,,, +五蕊柳,Salix pentandra,M.& B.floderus,s.n.,18830716,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01660833.jpg,,,,,,,,,, +维西长叶柳,Salix phanera var. weixiensis,北京所横断山队,1843,19810721,云南省,3200,云杉林缘时见优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447766.jpg,,,,,,,,,, +维西长叶柳,Salix phanera var. weixiensis,何理,廖帅,PH2012080219,20120802,云南,2837,路旁山坡,乔木,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00090235.jpg,,,,,,,,,, +毛小叶垫柳,Salix pilosomicrophylla,"李渤生,程树志等",5518,19830713,西藏自治区,4200,高山 灌丛中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491009.jpg,,,,,,,,,, +毛果垫柳,Salix piptotricha,生态室高原组,10301,19800624,西藏自治区,3800,高山灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490887.jpg,,,,,,,,,, +毛果垫柳,Salix piptotricha,北京所横断山队,3286,19810818,云南省,4300~4400,高山 流石滩 石流内湿地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01447767.jpg,,,,,,,,,, +毛果垫柳,Salix piptotricha,青藏队,5595,19810829,四川省,4300,山坡,杜鹃,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0525687.jpg,,,,,,,,,, +曲毛柳,Salix plocotricha,青藏队植被组,14673,19800901,西藏自治区,3500~3800,冷杉林间草地 常见种,,无花有果,https://image.cvh.ac.cn/files/l/PE/01490991.jpg,,,,,,,,,, +曲毛柳,Salix plocotricha,青藏队横断山队,5595,19810829,四川省,4300,山坡 杜鹃林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057746.jpg,,,,,,,,,, +曲毛柳,Salix plocotricha,俞德俊,9785,19370823,云南省,3800,rocky hill,,无花有果,https://image.cvh.ac.cn/files/l/PE/00732743.jpg,,,,,,,,,, +青皂柳,Salix pseudo-wallichiana,北京山区综考队,79,19640531,北京市,1200,阴阳坡 灌丛中 树林中混生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01218123.jpg,,,,,,,,,, +青皂柳,Salix pseudo-wallichiana,吴中伦,33370,19580725,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00732954.jpg,,,,,,,,,, +青皂柳,Salix pseudo-wallichiana,J.F.Rock,14287,19260600,青海省,3500,streambed of jupar valley,tree,无花有果,https://image.cvh.ac.cn/files/l/PE/00023924.jpg,,,,,,,,,, +大苞柳,Salix pseudospissa,J.F.Rock,12362,19250600,甘肃省,4000,along mountain torrents,,无花有果,https://image.cvh.ac.cn/files/l/PE/00732943.jpg,,,,,,,,,, +大苞柳,Salix pseudospissa,,76-286,19760704,西藏自治区,4400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00732944.jpg,,,,,,,,,, +西柳,Salix pseudowolohoensis,青藏队,179,19810530,云南省,,云南松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057752.jpg,,,,,,,,,, +西柳,Salix pseudowolohoensis,K.M.Liou,2259,19340531,河北省,1200,Dans les vallees,,无花有果,https://image.cvh.ac.cn/files/l/PE/00934200.jpg,,,,,,,,,, +裸柱头柳,Salix psilostigma,"程树志,李渤生",5194,19830623,西藏自治区,2400,林缘灌丛优势,,无花无果,https://image.cvh.ac.cn/files/l/PE/01490989.jpg,,,,,,,,,, +裸柱头柳,Salix psilostigma,青藏队,7517,19820625,云南省,,南坡Abies林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057743.jpg,,,,,,,,,, +长穗柳,Salix radinostachya,C.S.Chang et al.,SI1381,20100811,四川省,3422,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900783.jpg,,,,,,,,,, +长穗柳,Salix radinostachya,"李渤生,程树志",1086,19820926,西藏自治区,2200~2300,林边 河旁时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490918.jpg,,,,,,,,,, +长穗柳,Salix radinostachya,北京植物所横断山队,1688,19810719,云南省,3500,云,冷杉林缘常见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447773.jpg,,,,,,,,,, +川滇柳 (原变种),Salix rehderiana var. rehderiana,白洪兵、李红,533324180827459LY,20180827,云南,3128.2,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009725.jpg,,,,,,,,,, +截苞柳,Salix resecta,北京植物所横断山队,115,19810527,云南省,2900~3000,山谷冷杉林带边缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447775.jpg,,,,,,,,,, +截苞柳,Salix resecta,四川省植被调查队,1788,19730608,四川省,3960,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00733498.jpg,,,,,,,,,, +藏截苞矮柳,Salix resectoides,FLPH Tibet Expedition,12-0388,20120909,西藏自治区,4500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967661.jpg,,,,,,,,,, +藏截苞矮柳,Salix resectoides,北京所横断山队,3551,19810824,云南省,4150~4400,高山常见灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447779.jpg,,,,,,,,,, +藏截苞矮柳,Salix resectoides,青藏队,12367,19830723,四川省,4000,山沟 灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057774.jpg,,,,,,,,,, +杜鹃叶柳,Salix rhododendrifolia,"李渤生,程树志",5345,19830704,西藏自治区,3800,高山 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491020.jpg,,,,,,,,,, +杜鹃叶柳,Salix rhododendrifolia,T.P.Wang,6970,19370703,甘肃省,2800,on high slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00733551.jpg,,,,,,,,,, +细叶沼柳,Salix rosmarinifolia,孙学刚等,2086,20000803,甘肃省,2810~2833,"沟谷,灌丛,草甸",,有花无果,https://image.cvh.ac.cn/files/l/PE/01800907.jpg,,,,,,,,,, +细叶沼柳,Salix rosmarinifolia,Wilczynski,s.n.,19110520,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01661088.jpg,,,,,,,,,, +细叶沼柳,Salix rosmarinifolia,秦仁昌,3150,19560911,新疆维吾尔自治区,500,潮湿底谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/00733663.jpg,,,,,,,,,, +萨彦柳,Salix sajanensis,新疆综合考察队,10239,19590505,新疆维吾尔自治区,470,河漫滩,,无花无果,https://image.cvh.ac.cn/files/l/PE/00733968.jpg,,,,,,,,,, +萨彦柳,Salix sajanensis,秦官属,50,1964/7/14,新疆维吾尔族自治区,1000,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0232431.jpg,,,,,,,,,, +萨彦柳,Salix sajanensis,秦官属,50,19640714,新疆维吾尔自治区 ,1000,河谷阴处密林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0232431.jpg,,,,,,,,,, +对叶柳,Salix salwinensis,PE西藏队,PE6359,20170911,西藏自治区,3120,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293869.jpg,,,,,,,,,, +对叶柳,Salix salwinensis,H.Hara et al.,,19690719,,3300~3970,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023265.jpg,,,,,,,,,, +对叶柳,Salix salwinensis,北京植物所横断山队,1440,19810713,云南省,3300~3600,冷杉林缘常见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447781.jpg,,,,,,,,,, +宽苞金背柳,Salix sclerophylla var. obtusa,俞德俊,5742,19370526,四川省,3900,among dense thickets on open slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00774103.jpg,,,,,,,,,, +宽苞金背柳,Salix sclerophylla var. obtusa,陶德定,10484,19760608,西藏自治区,,"高山,灌丛,河滩旁",,有花无果,https://image.cvh.ac.cn/files/l/PE/00774098.jpg,,,,,,,,,, +硬叶柳(原变种),Salix sclerophylla var. sclerophylla,余岩、杨欣,2022129,20200715,四川,4252,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02022129.jpg,,,,,,,,,, +近硬叶柳,Salix sclerophylloides,,76-218,19760630,西藏自治区,3800,溪旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458154.jpg,,,,,,,,,, +近硬叶柳,Salix sclerophylloides,"赵士洞,方振富",921,19730607,四川省,3900,水旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/00774111.jpg,,,,,,,,,, +绢果柳,Salix sericocarpa,青藏队,76-8115,19760630,西藏自治区,3600,河边灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/00774140.jpg,,,,,,,,,, +多花小垫柳,Salix serpyllum,PE西藏考察队,7308,20180615,西藏自治区,4154~4259,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333240.jpg,,,,,,,,,, +山丹柳,Salix shandanensis,"傅国勋,倪瑞生",66,19810802,河北省,,疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01218125.jpg,,,,,,,,,, +山丹柳,Salix shandanensis,"P.Licent S,J.",7915,19270610,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00774210.jpg,,,,,,,,,, +山丹柳,Salix shandanensis,钟补求,8850,19580710,青海省,,山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/00774211.jpg,,,,,,,,,, +锡金柳,Salix sikkimensis,中日考察队,T111,19900524,西藏自治区,4340,东南坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00774234.jpg,,,,,,,,,, +锡金柳,Salix sikkimensis,俞德浚,11525,19390000,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0526277.jpg,,,,,,,,,, +锡金柳,Salix sikkimensis,俞德浚,11383,19370524,云南省,3400,灌木林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0526275.jpg,,,,,,,,,, +齿叶黄花柳,Salix sinica var. dentata,李全喜,1132,19630628,甘肃省,1650,山谷水湿地 沼草地中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00742560.jpg,,,,,,,,,, +齿叶黄花柳,Salix sinica var. dentata,郭本兆,884,19510901,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00742555.jpg,,,,,,,,,, +齿叶黄花柳,Salix sinica var. dentata,河南省林业厅,1182,19560923,河南省,1860,山顶,,无花无果,https://image.cvh.ac.cn/files/l/PE/00742552.jpg,,,,,,,,,, +中国黄花柳,Salix sinica var. sinica,Y.S.Yuen,4-16724,19320600,吉林,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2018734.jpg,,,,,,,,,, +红皮柳,Salix sinopurpurea,"赵常明,葛结林,罗璐",EX1670,20080809,湖北省,1300,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01963579.jpg,,,,,,,,,, +红皮柳,Salix sinopurpurea,"王庆瑞,晏民生,陈学林",11300,19840504,甘肃省,1400~2200,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00742607.jpg,,,,,,,,,, +黄花垫柳,Salix souliei,Harry Smtih,11207,19340820,四川省,4300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01658684.jpg,,,,,,,,,, +黄花垫柳,Salix souliei,"程树志,李渤生",7067,19830823,西藏自治区,3700,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490959.jpg,,,,,,,,,, +黄花垫柳,Salix souliei,北京所横断山队,3630,19810824,云南省,4150~4400,高山灌丛草甸带固定流石滩局部占优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447788.jpg,,,,,,,,,, +,Salix spathulifolia var. glabra,郭本兆,9290,19710627,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00742812.jpg,,,,,,,,,, +,Salix spathulifolia var. glabra,,9243,19750708,四川省,4160,高山灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/00023830.jpg,,,,,,,,,, +巴郎柳,Salix sphaeronymphe,钟补求,5154,19520727,四川省,,山沟 溪旁及阴坡低处,,无花无果,https://image.cvh.ac.cn/files/l/PE/00742867.jpg,,,,,,,,,, +巴郎柳,Salix sphaeronymphe,青藏科考队,11669,19760601,西藏自治区,2800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00742866.jpg,,,,,,,,,, +光果巴郎柳,Salix sphaeronymphoides,,Aug-76,19760526,西藏自治区,,云杉柏树,疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458155.jpg,,,,,,,,,, +光果巴郎柳,Salix sphaeronymphoides,张泽云,周洪富,22716,19570709,四川省,2,,灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00281070.jpg,,,,,,,,,, +光果巴郎柳,Salix sphaeronymphoides,刘尚武、罗达尚,947,19700604,青海省,2080,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/25934.jpg,,,,,,,,,, +灰叶柳,Salix spodiophylla,生态室高原组,14924,19800906,西藏自治区,3700~3900,高山 灌丛中常见种,,无花有果,https://image.cvh.ac.cn/files/l/PE/01490975.jpg,,,,,,,,,, +灰叶柳,Salix spodiophylla,北京所横断山队,2179,19810728,云南省,3700~4100,Abies林缘及高山 草甸中偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447799.jpg,,,,,,,,,, +灰叶柳,Salix spodiophylla,"郎楷永,李良千,费勇",2793,19830805,四川省,4100,卡?拉山 冷杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057841.jpg,,,,,,,,,, +柔毛周至柳,Salix tangii var. villosa,李培元,1730,19590601,陕西省,2300~2500,山坡上,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0139362.jpg,,,,,,,,,, +柔毛周至柳,Salix tangii var. villosa,Y.Y.Pai,2156,19350618,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0170896.jpg,,,,,,,,,, +光苞柳,Salix tenella,孙学刚等,20010005,20010520,甘肃省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800901.jpg,,,,,,,,,, +光苞柳,Salix tenella,青藏队,14006,19830913,四川省,3800,高山 栎林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057861.jpg,,,,,,,,,, +光苞柳,Salix tenella,青藏队横断山队,1288,19810621,云南省,3600~3700,高山草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01057859.jpg,,,,,,,,,, +四子柳,Salix tetrasperma,覃海宁等,2295,19981105,广西壮族自治区,800,山地水旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984034.jpg,,,,,,,,,, +四子柳,Salix tetrasperma,C.O.Levine,s.n.,19171206,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604292.jpg,,,,,,,,,, +毛果柳,Salix trichocarpa,"李文华 韩裕丰 桑杰/Li Wen-hua,Han Yu-feng & Sang Jie",75-172,19750615,西藏自治区,3200,山谷中,小乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00705267.jpg,,,,,,,,,, +毛果柳,Salix trichocarpa,Richard R.Halse,2608,19830424,,45,,Large tree,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00282197.jpg,,,,,,,,,, +乌饭叶矮柳,Salix vaccinioides,陈伟烈,10600,19800626,西藏自治区,,冷杉林间空地常见种,,无花无果,https://image.cvh.ac.cn/files/l/PE/01490950.jpg,,,,,,,,,, +乌饭叶矮柳,Salix vaccinioides,"郎楷永,李良千,费勇",1756,19830613,四川省,3300~3400,冷杉林下 优势灌丛之一,,无花有果,https://image.cvh.ac.cn/files/l/PE/01057871.jpg,,,,,,,,,, +秋华柳,Salix variegata,林秦文,2013-107,20130529,云南省,1600~1750,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02041071.jpg,,,,,,,,,, +秋华柳,Salix variegata,"邵毅贞,陈淑荣等",1629,20140424,四川省,1944~2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021282.jpg,,,,,,,,,, +秋华柳,Salix variegata,"李良千,王忠涛,杜玉芬,卫然",73,20110902,甘肃省,1135,河边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01914136.jpg,,,,,,,,,, +皂柳,Salix wallichiana,植物所三峡考察队,1178,20080508,重庆市,1750~1923,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01963547.jpg,,,,,,,,,, +皂柳,Salix wallichiana,王雪兵等,2014ZWWL-0001,20140428,四川省,2903,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918920.jpg,,,,,,,,,, +皂柳,Salix wallichiana,"张志耘,谢磊等",2012-145,20120523,河北省,1700,"Valley,road side",,无花有果,https://image.cvh.ac.cn/files/l/PE/01900848.jpg,,,,,,,,,, +眉柳,Salix wangiana,高淑贞,s.n.,19550000,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00766319.jpg,,,,,,,,,, +眉柳,Salix wangiana,崔友文,5045,19510728,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00766318.jpg,,,,,,,,,, +维西柳,Salix weixiensis,K.M.Feng,3709,19400507,云南省,1950,杂林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00766342.jpg,,,,,,,,,, +维西柳,Salix weixiensis,赵士洞,2952,19840823,,1400,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/03303999y0333.jpg,,,,,,,,,, +宽线叶柳,Salix wilhelmsiana var. latifolia,,新东138,19590703,新疆维吾尔自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00766395.jpg,,,,,,,,,, +宽线叶柳,Salix wilhelmsiana var. latifolia,郑斯绪,293,19600617,青海省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00766392.jpg,,,,,,,,,, +川南柳,Salix wolohoensis,韩裕丰,830245,19830815,四川省,2400,河谷底部,,无花无果,https://image.cvh.ac.cn/files/l/PE/01057877.jpg,,,,,,,,,, +川南柳,Salix wolohoensis,秦仁昌,22745,19290522,云南省,,水沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00766467.jpg,,,,,,,,,, +伍须柳,Salix wuxuhaiensis,植被队,7173,1974-5 2,四川省,4700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0011734.jpg,,,,,,,,,, +西藏柳,Salix xizangensis,李文华等,76-413,19760717,西藏自治区,4000,高山灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00766473.jpg,,,,,,,,,, +西藏柳,Salix xizangensis,郎楷永,李良千,费勇,2476,19830729,四川省,4000~4100,云杉林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0527165.jpg,,,,,,,,,, +亚东毛柳,Salix yadongensis,青藏补点,750265,19750611,西藏自治区,2820,河边,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00705273.jpg,,,,,,,,,, +藏柳,Salix zangica,"李渤生,程树志",537,19820903,西藏自治区,3150,冷杉林间流水沟砾石垅上多见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490970.jpg,,,,,,,,,, +察隅矮柳,Salix zayulica,H.T.Tsai,53839,1933/7/27,云南省,3400,,shrub,有花无果,https://image.cvh.ac.cn/files/l/WUK/0035791.jpg,,,,,,,,,, +察隅矮柳,Salix zayulica,何理、廖帅,PH2012082010,20120820,西藏自治区,3682,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00090112.jpg,,,,,,,,,, +察隅矮柳,Salix zayulica,白洪兵、李红,533324180922995LY,20180922,云南,3867,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009949.jpg,,,,,,,,,, +鹧鸪柳,Salix zhegushanica,"郎楷永,李良千,费勇",906,19820801,四川省,3500~3700,高山 栎树下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057883.jpg,,,,,,,,,, +鹧鸪柳,Salix zhegushanica,邢吉庆,4403,19590601,陕西省,1892,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0349257.jpg,,,,,,,,,, +齿果草,Salomonia cantoniensis,梁光兴,613,19730803,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229036.jpg,,,,,,,,,, +齿果草,Salomonia cantoniensis,厦大采集队,1202,19640812,福建省,550,竹林边 草地上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229034.jpg,,,,,,,,,, +齿果草,Salomonia cantoniensis,"张寿洲,李良千等人",2848,20050715,广东省,200~250,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229030.jpg,,,,,,,,,, +蒿叶猪毛菜,Salsola abrotanoides,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0035,20130730,青海省,3565,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992784.jpg,,,,,,,,,, +蒿叶猪毛菜,Salsola abrotanoides,"张新时,郭柯",天—659,19860817,新疆维吾尔自治区,1895,石质荒漠T-092,,无花无果,https://image.cvh.ac.cn/files/l/PE/01377106.jpg,,,,,,,,,, +木本猪毛菜,Salsola arbuscula,关克俭,3001,19570802,新疆维吾尔自治区,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078848.jpg,,,,,,,,,, +木本猪毛菜,Salsola arbuscula,"郭柯,郑度",P-069,19891007,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073144.jpg,,,,,,,,,, +木本猪毛菜,Salsola arbuscula,,142,19580922,青海省,2500,低山 荒漠草原局部荒漠,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042466.jpg,,,,,,,,,, +青海猪毛菜,Salsola chinghaiensis,朱兆儀等,505,19580917,青海省,,草原,,无花无果,https://image.cvh.ac.cn/files/l/PE/01863972.jpg,,,,,,,,,, +青海猪毛菜,Salsola chinghaiensis,朱兆仪等,505,19580917,青海,,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0241308.jpg,,,,,,,,,, +猪毛菜,Salsola collina,陈全胜,CF-0009-250,20170826,内蒙古自治区,2264,沙质草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246363.jpg,,,,,,,,,, +猪毛菜,Salsola collina,周口店考察队,253,20080928,北京市,151,草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112280.jpg,,,,,,,,,, +猪毛菜,Salsola collina,黄河队,39,19540902,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081772.jpg,,,,,,,,,, +钝叶猪毛菜,Salsola heptapotamica,秦仁昌,3248,19560920,新疆维吾尔自治区,500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00166963.jpg,,,,,,,,,, +,Salsola heptapotamica,段士民,王习勇等,267,20070929,新疆,498,盐碱地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1245188.jpg,,,,,,,,,, +密枝猪毛菜,Salsola implicata,胡式之,H5,19600906,新疆维吾尔自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00166996.jpg,,,,,,,,,, +密枝猪毛菜,Salsola implicata,李安仁 朱家柟,6717,19580621,新疆,1060,夭煽山和沙山山讲毛地沙丘上,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0257302.jpg,,,,,,,,,, +松叶猪毛菜,Salsola laricifolia,王作宾,18055,19570710,内蒙古自治区,,沙丘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086914.jpg,,,,,,,,,, +松叶猪毛菜,Salsola laricifolia,C.Davaeamc et al.,1087,19620622,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01578615.jpg,,,,,,,,,, +单翅猪毛菜,Salsola monoptera,FLPH Tibet Expedition,12-0069,20120903,西藏自治区,4682,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967935.jpg,,,,,,,,,, +尼泊尔猪毛菜,Salsola nepalensis,FLPH Tibet Expedition,12-0608,20120902,西藏自治区,3569,干旱山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967941.jpg,,,,,,,,,, +,Salsola nepalensis,陈家辉,庄会富,刘德团,边巴扎西,YangYP-Q-0079,20080829,西藏,4116,湖边草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1245203.jpg,,,,,,,,,, +珍珠猪毛菜,Salsola passerina,中苏队,97,19601014,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078321.jpg,,,,,,,,,, +珍珠猪毛菜,Salsola passerina,,124,19580922,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02047022.jpg,,,,,,,,,, +珍珠猪毛菜,Salsola passerina,C.Davaeamc et al.,1086,19620622,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01578618.jpg,,,,,,,,,, +长刺猪毛菜,Salsola paulsenii,泛喜马拉雅植物志巴基斯坦采集队,FPH-1308,20120908,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004755.jpg,,,,,,,,,, +长刺猪毛菜,Salsola paulsenii,,823-3,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352290.jpg,,,,,,,,,, +薄翅猪毛菜,Salsola pellucida,李振宇等,12363,20120727,新疆维吾尔自治区,,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01921105.jpg,,,,,,,,,, +薄翅猪毛菜,Salsola pellucida,,s.n.,19570826,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00640921.jpg,,,,,,,,,, +,Salsola tragus,,75-1536,19750831,西藏自治区,3600,沙滩地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00541013.jpg,,,,,,,,,, +,Salsola tragus,冯虎元,LiuJQ-08KLS-161,20080912,青海,2970,温带荒漠,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1244247.jpg,,,,,,,,,, +刺沙蓬,Salsola tragus,黄河队,58,19540616,甘肃,1300,山坡阴处,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0069369.jpg,,,,,,,,,, +柴达木猪毛菜,Salsola zaidamica,"郭柯,郑度",12704,19880909,青海省,3200,山地 洪积扇上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01352216.jpg,,,,,,,,,, +柴达木猪毛菜,Salsola zaidamica,"李安仁,朱家楠",9020,19581020,新疆维吾尔自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00528582.jpg,,,,,,,,,, +橙色鼠尾草,Salvia aerea,"刘恩德,向春雷,侬鑫",2585,20100804,四川省,3163,forest margin,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114967.jpg,,,,,,,,,, +橙色鼠尾草,Salvia aerea,G.Forrest,12531,19140000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00830305.jpg,,,,,,,,,, +橙色鼠尾草,Salvia aerea,毕节队,161,19590711,贵州省,2400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00830004.jpg,,,,,,,,,, +暗红鼠尾草,Salvia atrorubra,亚吉东,张桥蓉,张继,李春晓,11CS3534,20110921,云南,3029,溪谷路边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1389649.jpg,,,,,,,,,, +暗红鼠尾草,Salvia atrorubra,秦仁昌,20934,19390627,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/484626.jpg,,,,,,,,,, +暗红鼠尾草,Salvia atrorubra,方文培,13067,19380809,,,,,有花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI043823.jpg,,,,,,,,,, +开萼鼠尾草,Salvia bifidocalyx,T.T.Yu,6604,19370629,四川省,3000,margin of woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00830662.jpg,,,,,,,,,, +开萼鼠尾草,Salvia bifidocalyx,俞德浚/T.T.Yu,12463,19370726,云南省,3500,石山,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00830014.jpg,,,,,,,,,, +短冠鼠尾草,Salvia brachyloma,K.M.Feng,1426,19390703,云南省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00830058.jpg,,,,,,,,,, +短冠鼠尾草,Salvia brachyloma,T.T.Yu,7401,19370727,四川省,3800,margin of woods grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00830055.jpg,,,,,,,,,, +短唇鼠尾草,Salvia brevilabra,Harry Smith,10502,19340715,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00830298.jpg,,,,,,,,,, +短唇鼠尾草,Salvia brevilabra,南水北调队,9775,19600707,云南省,2980,山沟路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00830284.jpg,,,,,,,,,, +戟叶鼠尾草,Salvia bulleyana,FLPH Tibet Expedition,12-0124,20120904,西藏自治区,3671,河谷灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011116.jpg,,,,,,,,,, +戟叶鼠尾草,Salvia bulleyana,"云南考察队(金效华,刘冰,刘博,权旭,苏俊霞,仲轶)",YN-ET1688,20090717,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01888257.jpg,,,,,,,,,, +戟叶鼠尾草,Salvia bulleyana,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00830076.jpg,,,,,,,,,, +截萼鼠尾草,Salvia campanulata var. codonantha,PE-西藏队,2918,20130708,西藏自治区,3000,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328138.jpg,,,,,,,,,, +截萼鼠尾草,Salvia campanulata var. codonantha,"Jin Xh,Wang LS Wang Q et al.",ST1186,20130727,云南省,2400~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01976674.jpg,,,,,,,,,, +,Salvia campanulata var. codonantha,"Forrest, George",19763,21-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00317526.jpg,,,,,,,,,, +裂萼鼠尾草,Salvia campanulata var. fissa,,7450,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00830083.jpg,,,,,,,,,, +,Salvia campanulata var. fissa,,20019,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0048713.jpg,,,,,,,,,, +,Salvia campanulata var. fissa,"Cooper, R.E.",714,28-Aug-13,,,,,,https://image.cvh.ac.cn/files/l/E/E00317505.jpg,,,,,,,,,, +栗色鼠尾草,Salvia castanea,PE西藏队,PE5864,20170905,西藏自治区,3020~3460,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331083.jpg,,,,,,,,,, +栗色鼠尾草,Salvia castanea,FLPH Sichuan Expedition,151197,20150825,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02284611.jpg,,,,,,,,,, +栗色鼠尾草,Salvia castanea,"胡国雄,董洪进,王泽欢等",D585,20110918,云南省,2750~3000,pinus forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114963.jpg,,,,,,,,,, +紫花鼠尾草,Salvia cyclostegia var. purpurascens,俞德浚,11532,19370602,云南省,3000,under woods,,有花无果,https://image.cvh.ac.cn/files/l/KUN/352366.jpg,,,,,,,,,, +紫花鼠尾草,Salvia cyclostegia var. purpurascens,俞德浚,5513,19380519,四川省,3200,under pine forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/352373.jpg,,,,,,,,,, +圆苞鼠尾草,Salvia cyclostegia var. purpurascens,胡,408,19780923,四川,3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717306804.jpg,,,,,,,,,, +犬形鼠尾草,Salvia cynica,"Q.Wang,K.Yao",9052,20000100,四川省,2100,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115545.jpg,,,,,,,,,, +,Salvia digitaloides var. glabrescens,管中天,8882,19590629,四川省,2100~2200,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00830565.jpg,,,,,,,,,, +毛地黄鼠尾草,Salvia digitaloides var. glabrescens,木里队,938,19790628,四川,2600,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717306793.jpg,,,,,,,,,, +,Salvia digitaloides var. glabrescens,胡君、李丽、吴宏蓉、唐双磊、薛金瑞、党喜军,SC-a-103-B20,20190727,云南,2338,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262729.jpg,,,,,,,,,, +,Salvia evansiana var. scaposa,T.T.Yu,22417,19370819,云南省,3400,草地山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00830617.jpg,,,,,,,,,, +,Salvia flava var. flava,刘恩德,1254,20050810,云南省,3100,路边,林缘,沟边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1217461.jpg,,,,,,,,,, +大花鼠尾草,Salvia flava var. megalantha,牧草组,29,19580519,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01828972.jpg,,,,,,,,,, +大花鼠尾草,Salvia flava var. megalantha,刘恩德,1242,20050808,云南省,3100,沟边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1217460.jpg,,,,,,,,,, +大花鼠尾草,Salvia flava var. megalantha,牧草组,29,19580519,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01828972.jpg,,,,,,,,,, +,Salvia glutinosa,牧草组,134,19580616,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01828970.jpg,,,,,,,,,, +,Salvia glutinosa,M.Wayda,21,20040816,,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01543553.jpg,,,,,,,,,, +胶质鼠尾草,Salvia glutinosa,吴,5505,19760905,云南省,,"水边灌丛中, 常见",高大粗壮草本,,https://image.cvh.ac.cn/files/l/IBK/IBK00341507.jpg,,,,,,,,,, +大叶鼠尾草,Salvia grandifolia,牧草组,258,19580718,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01828973.jpg,,,,,,,,,, +大叶鼠尾草,Salvia grandifolia,武素功,3570,19591029,四川省,2000,江边阳坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00830694.jpg,,,,,,,,,, +大叶鼠尾草,Salvia grandifolia,黄艳波,S0963,20170623,云南省,2671,路边,草坡,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0142409.jpg,,,,,,,,,, +木里鼠尾草,Salvia handelii,T.T.Yu,6064,19370610,四川省,2900,under pine roak forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/00830696.jpg,,,,,,,,,, +木里鼠尾草,Salvia handelii,刘恩德,向春雷,胡国雄等,Pengh0021,20110828,云南省,3132,林缘,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1263649.jpg,,,,,,,,,, +木里鼠尾草,Salvia handelii,胡国雄,董洪进,王泽欢,李珍,Pengh0020,20121201,云南省 ,3000,林下,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1264735.jpg,,,,,,,,,, +异色鼠尾草,Salvia heterochroa,D.E.Boufford et al,35121,20060722,云南省,4100~4300,Meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/01884180.jpg,,,,,,,,,, +异色鼠尾草,Salvia heterochroa,刘恩德,向春雷,胡国雄等,Pengh0022,20110813,四川省,3374,溪边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1263650.jpg,,,,,,,,,, +林华鼠尾草,Salvia hylocharis,Jin Xiaohua,10314,20100518,云南省,,in decidous forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328188.jpg,,,,,,,,,, +林华鼠尾草,Salvia hylocharis,,5678,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00830730.jpg,,,,,,,,,, +荠麦地鼠尾草,Salvia kiaometiensis,"H.Li,S.X.Yang,R.Li etc.",547,20020826,云南省,2570,山地次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110904.jpg,,,,,,,,,, +荠麦地鼠尾草,Salvia kiaometiensis,俞德俊,1443,19320000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00830865.jpg,,,,,,,,,, +洱源鼠尾草,Salvia lankongensis,M.Iabbe Delavay,141,18840926,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220832.jpg,,,,,,,,,, +洱源鼠尾草,Salvia lankongensis,马文章等,128,20120529,云南省,3156,pinus-Lithocarpus forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1263653.jpg,,,,,,,,,, +洱源鼠尾草,Salvia lankongensis,罗朝忠,201817575,20180423,贵州省,573,田埂,,有花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0023477.jpg,,,,,,,,,, +多花鼠尾草,Salvia maximowicziana var. floribunda,徐连升,150183,,湖北省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328191.jpg,,,,,,,,,, +多花鼠尾草,Salvia maximowicziana var. floribunda,"何铸,周子林",13820,19520000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00830922.jpg,,,,,,,,,, +湄公鼠尾草,Salvia mekongensis,T.T.Yu,8826,19370710,云南省,3900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00830944.jpg,,,,,,,,,, +,Salvia omeiana var. grandibracteata,"张树仁,陈淑荣,朗校安等",1910,20140614,四川省,1600~1900,山坡 林下 路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02021378.jpg,,,,,,,,,, +,Salvia omeiana var. grandibracteata,59176部队,2336,19760620,湖北省,602,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00958078.jpg,,,,,,,,,, +少花鼠尾草,Salvia pauciflora,D.E.Boufford et al,37828,20070521,甘肃省,2170~2425,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772222.jpg,,,,,,,,,, +少花鼠尾草,Salvia pauciflora,K.M.Feng,1912,19390704,云南省,3400,near Hsia-Chungtien.,,无花有果,https://image.cvh.ac.cn/files/l/PE/00831203.jpg,,,,,,,,,, +,Salvia pauciflora,刘恩德,向春雷,方伟等,FW11091,20110730,四川省,3810,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264265.jpg,,,,,,,,,, +荔枝草,Salvia plebeia,"黄向旭,陈有卿,李素英,马仲辉",10117,20110615,湖南省,,山地、田野、路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02328066.jpg,,,,,,,,,, +荔枝草,Salvia plebeia,刘正宇,180562,20070929,重庆市,185,溪边水田坎上,,无花有果,https://image.cvh.ac.cn/files/l/PE/02328064.jpg,,,,,,,,,, +荔枝草,Salvia plebeia,中植联广西队,99,20080510,广西壮族自治区,120,石灰岩石山,山谷,草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02328060.jpg,,,,,,,,,, +长冠鼠尾草,Salvia plectranthoides,植物所三峡考察队,1390,20080510,重庆市,760~920,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328124.jpg,,,,,,,,,, +长冠鼠尾草,Salvia plectranthoides,赵常明,EX1233,20070919,湖北省,380,溪边阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328122.jpg,,,,,,,,,, +毛唇鼠尾草,Salvia pogonochila,"刘恩德,向春雷,方伟等",3224,20110815,四川省,3850,alpine grass slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02073816.jpg,,,,,,,,,, +毛唇鼠尾草,Salvia pogonochila,,11875,19340509,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00831546.jpg,,,,,,,,,, +康定鼠尾草,Salvia prattii,South Tibet Exp.Team (Jin Xiaohua etc.),STET0776,20100719,西藏自治区,4500,alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328201.jpg,,,,,,,,,, +康定鼠尾草,Salvia prattii,,68,19640615,青海省,4300,山地丘陵阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082728.jpg,,,,,,,,,, +康定鼠尾草,Salvia prattii,"X.H.Jin,Y.S.Chen, H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q",1712,20080709,云南省,4200,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02006465.jpg,,,,,,,,,, +,Salvia przewalskii var. przewalskii,刘恩德,1225,20050806,云南省,2740,山坡林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1217464.jpg,,,,,,,,,, +,Salvia przewalskii var. przewalskii,刘恩德,向春雷,侬鑫,2690,20100812,四川省,3113,"Roadside, in thickets",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264390.jpg,,,,,,,,,, +,Salvia przewalskii var. przewalskii,"刘成, 方云花, 宋江, 刘波, 赵丹丹",17CS16019,20170920,云南,2755,公路边草坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1447229.jpg,,,,,,,,,, +粘毛鼠尾草,Salvia roborowskii,PE西藏队,PE5069,20170825,西藏自治区,3749,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330754.jpg,,,,,,,,,, +粘毛鼠尾草,Salvia roborowskii,"洪德元,潘开玉,徐超,刘彬彬",3258,20170831,四川省,3128,roadsides,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328095.jpg,,,,,,,,,, +裂萼鼠尾草,Salvia schizocalyx,H.T.Tsai,58013,19340818,云南省,4000,Pi-lo-Shan,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106277.jpg,,,,,,,,,, +裂萼鼠尾草,Salvia schizocalyx,俞德浚,6661,19390630,四川省,3700,mt .slope open situation,,有花无果,https://image.cvh.ac.cn/files/l/KUN/822122.jpg,,,,,,,,,, +裂瓣鼠尾草,Salvia schizochila,FLPH Sichuan Expedition,152058,20150902,四川省,2850,潮湿岩壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328142.jpg,,,,,,,,,, +裂瓣鼠尾草,Salvia schizochila,魏宇昆,葛斌杰,崔浪军,许刚,S0219,20110707,云南省,4157,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0146381.jpg,,,,,,,,,, +,Salvia schizochila,"Handel-Mazzetti, Heinrich",7120,20-Jun-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00317525.jpg,,,,,,,,,, +橙香鼠尾草,Salvia smithii,Harry Smith,4657,19340000,四川省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01690340.jpg,,,,,,,,,, +近掌麦鼠尾草,Salvia subpalmatinervis,"姜恕,应俊生等",3853,19600606,四川省,4600,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106292.jpg,,,,,,,,,, +,Salvia subpalmatinervis,向春雷,董洪进,胡国雄,1005,20130827,云南省,3200,"grassy marshland, exposed to sun",,无花无果,https://image.cvh.ac.cn/files/l/KUN/1263943.jpg,,,,,,,,,, +近掌脉鼠尾草,Salvia subpalmatinervis,任宗昕,蒋伟,张明英,骆洋,王雪芹,WH-2012-0450,20120625,云南,2887,林下,草本,,https://image.cvh.ac.cn/files/l/KUN/1389945.jpg,,,,,,,,,, +黄鼠狼花,Salvia tricuspis,FLPH Sichuan Expedition,152715,20150911,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02284567.jpg,,,,,,,,,, +黄鼠狼花,Salvia tricuspis,"仲世奇,杨平礼",167,19530811,甘肃省,,坡上洞底,,有花有果,https://image.cvh.ac.cn/files/l/PE/00831974.jpg,,,,,,,,,, +黄鼠狼花,Salvia tricuspis,T.P.Wang,2047,19530901,陕西省,1500,under shrub,,有花有果,https://image.cvh.ac.cn/files/l/PE/00831969.jpg,,,,,,,,,, +三叶鼠尾草,Salvia trijuga,Abbe.Monbeig,,19120720,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328185.jpg,,,,,,,,,, +三叶鼠尾草,Salvia trijuga,FLPH Sichuan Expedition,151627,20150829,四川省,2150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328184.jpg,,,,,,,,,, +西藏鼠尾草,Salvia wardii,FLPH Tibet Expedition,12-1395,20120917,西藏自治区,4500,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011114.jpg,,,,,,,,,, +西藏鼠尾草,Salvia wardii,汤宗孝,480,19820724,四川省,3900,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106295.jpg,,,,,,,,,, +云南鼠尾草,Salvia yunnanensis,M.labbe Delavay.,s.n.,18860414,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02002353.jpg,,,,,,,,,, +云南鼠尾草,Salvia yunnanensis,攀枝花苏铁考察队,222,20100711,四川省,2146,灌丛边缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883921.jpg,,,,,,,,,, +冬麻豆,Salweenia wardii,"王金亭,武田义明",312,19860506,西藏自治区,3400,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081358.jpg,,,,,,,,,, +冬麻豆,Salweenia wardii,"孙航,李新辉,岳亮亮,陈林杨",15132,20100531,四川省,2940,山坡上 山坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043494.jpg,,,,,,,,,, +血满草,Sambucus adnata,PE西藏考察队,7993,20180627,西藏自治区,3684,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333289.jpg,,,,,,,,,, +血满草,Sambucus adnata,彭建荣,57,19910703,甘肃省,2700,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235803.jpg,,,,,,,,,, +血满草,Sambucus adnata,林秦文,2013-108,20130529,云南省,1600~1750,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040556.jpg,,,,,,,,,, +矮接骨木,Sambucus ebulus,生物研究所西藏科考察队,1077,19730719,西藏自治区,1800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/38644.jpg,,,,,,,,,, +,Sambucus ebulus,,,1926,,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00031534.jpg,,,,,,,,,, +,Sambucus javanica,"川西队,关克俭,王文采等",2936,19630907,四川省,2500,山谷林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02087778.jpg,,,,,,,,,, +,Sambucus javanica,川黔队,626,19560613,重庆市,300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083468.jpg,,,,,,,,,, +接骨木,Sambucus williamsii,"石硕,祝东立,祝振清",SZ3831,20140809,河北省,1463,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064003.jpg,,,,,,,,,, +接骨木,Sambucus williamsii,段长虹,Dch0174,20140704,山西省,1973,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040332.jpg,,,,,,,,,, +疏花地榆,Sanguisorba diandra,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-2016,20130824,西藏自治区,4000,草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01993008.jpg,,,,,,,,,, +疏花地榆,Sanguisorba diandra,M.Suzuki etc.,8580465,19850725,,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261085.jpg,,,,,,,,,, +矮地榆,Sanguisorba filiformis,PE西藏考察队,7377,20180616,西藏自治区,3934,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333085.jpg,,,,,,,,,, +矮地榆,Sanguisorba filiformis,"川西队,关克俭,王文采等",682,19630718,四川省,3500,山坡湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087624.jpg,,,,,,,,,, +矮地榆,Sanguisorba filiformis,赵魁义,472,19810719,云南省,3150,河滩沼泽,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075210.jpg,,,,,,,,,, +地榆,Sanguisorba officinalis,陈全胜,CF06-4076,20180627,内蒙古自治区,1668,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247245.jpg,,,,,,,,,, +地榆,Sanguisorba officinalis,川黔队,2282,19561027,贵州省,1300,山坡 阳 草地 疏密林中灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075651.jpg,,,,,,,,,, +地榆,Sanguisorba officinalis,刘彬彬,2716,20150823,四川省,,"Shrubs and grassland,on the roadside",,无花有果,https://image.cvh.ac.cn/files/l/PE/02070142.jpg,,,,,,,,,, +川滇变豆菜,Sanicula astrantiifolia,"H.Li,S.X.Yang,R.Li etc.",126,20020812,云南省,2400,次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090143.jpg,,,,,,,,,, +川滇变豆菜,Sanicula astrantiifolia,"张永田,郞楷永",597,19650713,西藏自治区,2800,松林下草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00754211.jpg,,,,,,,,,, +变豆菜,Sanicula chinensis,李才贵,193,19840704,山西省,1800,落叶松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081547.jpg,,,,,,,,,, +变豆菜,Sanicula chinensis,云台山采集队,1190,20090820,河南省,1050~1150,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031910.jpg,,,,,,,,,, +变豆菜,Sanicula chinensis,"张树仁,陈淑荣,朗校安等",1914,20140614,四川省,1600~1900,山坡 林下 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021376.jpg,,,,,,,,,, +软雀花,Sanicula elata,PE西藏考察队,7884,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332289.jpg,,,,,,,,,, +软雀花,Sanicula elata,泛喜马拉雅植物志巴基斯坦采集队,1833,20120916,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005821.jpg,,,,,,,,,, +软雀花,Sanicula elata,红水河植物考察队,504,19890510,广西壮族自治区,800,山地,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991855.jpg,,,,,,,,,, +首阳变豆菜,Sanicula giraldii,PE西藏队,PE6358,20170911,西藏自治区,3120,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330288.jpg,,,,,,,,,, +首阳变豆菜,Sanicula giraldii,孙柯儿,16,19910702,甘肃省,2100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879651.jpg,,,,,,,,,, +首阳变豆菜,Sanicula giraldii,巴山采集队,4815,20110628,四川省,1651,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873023.jpg,,,,,,,,,, +鳞果变豆菜,Sanicula hacquetioides,D.E.Boufford et al.,33144,20050719,四川省,3640~3670,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923515.jpg,,,,,,,,,, +鳞果变豆菜,Sanicula hacquetioides,青藏队,994,19810614,云南省,3200,云杉 高山松林箐沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132022.jpg,,,,,,,,,, +薄片变豆菜,Sanicula lamelligera,Sheng-you Lu,14449,19840403,台湾省,840,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045043.jpg,,,,,,,,,, +薄片变豆菜,Sanicula lamelligera,,Q33(5) 1,19620915,广西壮族自治区,1400,落叶常绿混交林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986288.jpg,,,,,,,,,, +薄片变豆菜,Sanicula lamelligera,安徽省野生植物考察队,1780,19590516,安徽省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01941813.jpg,,,,,,,,,, +直刺变豆菜,Sanicula orthacantha,"董洪进,王泽欢,尹志坚",WM-0191,20160427,云南省,1500~1600,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090173.jpg,,,,,,,,,, +直刺变豆菜,Sanicula orthacantha,236 四川任务组,173,19720731,四川省,800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084873.jpg,,,,,,,,,, +直刺变豆菜,Sanicula orthacantha,巴山采集队,2323,20080725,重庆市,2140,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028630.jpg,,,,,,,,,, +皱叶变豆菜,Sanicula rugulosa,青藏队,7098,19820609,云南省,2300,山坡 常绿阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132027.jpg,,,,,,,,,, +皱叶变豆菜,Sanicula rugulosa,"应俊生,洪德元",650295,19650619,西藏自治区,3280,南坡杂草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00754966.jpg,,,,,,,,,, +皱叶变豆菜,Sanicula rugulosa,,5268,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00040549.jpg,,,,,,,,,, +锯叶变豆菜,Sanicula serrata,孙学刚等,20010109,20010522,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01808938.jpg,,,,,,,,,, +锯叶变豆菜,Sanicula serrata,青藏队,6330,19820508,云南省,2700,山沟 流水处 岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132025.jpg,,,,,,,,,, +锯叶变豆菜,Sanicula serrata,曲桂齡,2300,19360000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00754975.jpg,,,,,,,,,, +川滇无患子,Sapindus delavayi,青藏队,13614,19830905,四川省,2300,山坡灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820392.jpg,,,,,,,,,, +川滇无患子,Sapindus delavayi,R.C.Ching,20581,19390609,云南省,,on open hill side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01391442.jpg,,,,,,,,,, +染木,Saprosma ternata,刘勐,C210059,20070710,云南省,570,民族植物园,小乔木,,https://image.cvh.ac.cn/files/l/HITBC/0022972.jpg,,,,,,,,,, +染木树,Saprosma ternata,王洪,9060,20130412,云南,900,沟谷林中,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026611.jpg,,,,,,,,,, +肉被麻,Sarcochlamys pulcherrima,青藏队,9114,19820809,云南省,1350,山坡常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00508956.jpg,,,,,,,,,, +肉被麻,Sarcochlamys pulcherrima,张书东等,STET2106,20100805,西藏自治区,840,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1261395.jpg,,,,,,,,,, +野扇花,Sarcococca ruscifolia,"Li Heng,Yang Shixiong,Lei Ligong etc.",1458,20030415,云南省,2640,次生松栎林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111721.jpg,,,,,,,,,, +野扇花,Sarcococca ruscifolia,"张经炜,王金亭",414,19660619,西藏自治区,2100,高阶地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02061755.jpg,,,,,,,,,, +野扇花,Sarcococca ruscifolia,壶瓶山考察队,224,19870616,湖南省,,河谷灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02029109.jpg,,,,,,,,,, +云南野扇花,Sarcococca wallichii,巴山采集队,4993,20110703,四川省,800,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873235.jpg,,,,,,,,,, +云南野扇花,Sarcococca wallichii,陶国达,9081,19760207,云南省,,石灰山顶干燥,,有花无果,https://image.cvh.ac.cn/files/l/PE/01629262.jpg,,,,,,,,,, +云南野扇花,Sarcococca wallichii,,75-266,19750622,西藏自治区,2300,阔叶杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01068752.jpg,,,,,,,,,, +,Sarcopyramis napalensis,独龙江考察队,1196,19901219,云南省,1380,河谷灌丛,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1227179.jpg,,,,,,,,,, +,Sarcopyramis napalensis,M.Wakabayashi etc.,9730101,19970803,,2490,on damp places,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261289.jpg,,,,,,,,,, +,Sarcopyramis napalensis,张挺,刘成,李梅娟,何德明,12CS4675,20120911,云南,2071,林下,二年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1304333.jpg,,,,,,,,,, +绒毛肉实树,Sarcosperma kachinense,,,19730900,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02008801.jpg,,,,,,,,,, +绒毛肉实树,Sarcosperma kachinense,周仕顺,5507,20090510,云南省,1000,河边热带雨林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01884267.jpg,,,,,,,,,, +绒毛肉实树,Sarcosperma kachinense,"李渤生,程树志等",2376,19821230,西藏自治区,1300~1500,沟谷常绿林中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00749990.jpg,,,,,,,,,, +肉实树,Sarcosperma laurinum,东兴,6,19731000,广西壮族自治区,600,砂无岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/02008829.jpg,,,,,,,,,, +肉实树,Sarcosperma laurinum,Shiu Ying Hu & Paul P.H.But,23503,20001107,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589058.jpg,,,,,,,,,, +肉实树,Sarcosperma laurinum,中苏云南联合考察团,5989,19570000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00768083.jpg,,,,,,,,,, +云南鸟足兰,Satyrium yunnanense,"Jin Xiaohua,Jin Weitao",14711,20140818,云南省,2200,on slope of limestone,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233127.jpg,,,,,,,,,, +云南鸟足兰,Satyrium yunnanense,攀枝花苏铁考察队(杨永等),465,20100913,四川省,2151,灌草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033607.jpg,,,,,,,,,, +云南鸟足兰,Satyrium yunnanense,"Jin Xh,Wang LS Wang Q et al.",ST2898,20130810,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977014.jpg,,,,,,,,,, +蜡质水东哥,Saurauia cerea,广西调查队,3216,19530803,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02000245.jpg,,,,,,,,,, +蜡质水东哥,Saurauia cerea,赵崇奖,129,20010313,云南省,1300,溪边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01610163.jpg,,,,,,,,,, +蜡质水东哥,Saurauia cerea,"程树志,李渤生",3583,19830310,西藏自治区,920,杂木林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01495569.jpg,,,,,,,,,, +红果水东哥,Saurauia erythrocarpa,陈伟烈,10855,19800630,西藏自治区,1200~1500,林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495586.jpg,,,,,,,,,, +红果水东哥,Saurauia erythrocarpa,青藏队,9048,19820808,云南省,1600,常绿阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01128960.jpg,,,,,,,,,, +长毛水东哥,Saurauia macrotricha,"Shui Yumin,Chen Wenhong etc.",70562,20060624,云南省,1950~2050,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229759.jpg,,,,,,,,,, +长毛水东哥,Saurauia macrotricha,方文培,2279,19280719,四川省,500,On the city wall,,有花有果,https://image.cvh.ac.cn/files/l/PE/00939858.jpg,,,,,,,,,, +粗毛水东哥,Saurauia macrotricha,徐洲锋,赵旻骏等,3785,20120615,云南省 ,1040,riverside,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1249495.jpg,,,,,,,,,, +尼泊尔水东哥,Saurauia napaulensis,"Yunnan Expedition Team(Jin Xiaohua,Liu Bing,Liu Bo",YN-ET246,20090627,云南省,1400,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229783.jpg,,,,,,,,,, +尼泊尔水东哥,Saurauia napaulensis,何国生,446,19800220,福建省,500,密林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229782.jpg,,,,,,,,,, +,Saurauia polyneura var. polyneura,"王四海, 唐春云, 余奇",Wangsh-07ZX-063,20131104,云南,1500,原始林地,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1452687.jpg,,,,,,,,,, +大花水东哥,Saurauia punduana,"李渤生,程树志",4518,19830506,西藏自治区,1300~1500,Alnus林下常见二层乔木,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495563.jpg,,,,,,,,,, +大花水东哥,Saurauia punduana,780植被组,765,19781209,云南省,1900,沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01490258.jpg,,,,,,,,,, +红萼水东哥,Saurauia rubricalyx,生态室高原组,11387,19800727,西藏自治区,1900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495588.jpg,,,,,,,,,, +红萼水东哥,Saurauia rubricalyx,"郭永杰, 王雨华, 杨立新, 李姗",18CS16804,20180506,西藏,1513,路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486815.jpg,,,,,,,,,, +云南水东哥,Saurauia yunnanensis,王启无,75586,19360000,云南省,910,Forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/00939856.jpg,,,,,,,,,, +云南水东哥,Saurauia yunnanensis,王启无,78789,19360900,云南省 ,900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0241116.jpg,,,,,,,,,, +短柄斑龙芋,Sauromatum brevipes,,3058,19590726,陕西省,0~490,山坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/92532.jpg,,,,,,,,,, +,Sauromatum giganteum,黄河考察队,2610,19240700,山西省,750,河谷陡崖,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244596.jpg,,,,,,,,,, +独角莲,Sauromatum giganteum,赖学文,830007,198305,江西,,,,有花有果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0005254.jpg,,,,,,,,,, +西南犁头尖,Sauromatum horsfieldii,张代贵,DXY173,20120907,湖南湘西州,,竹林下杂草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU28567.jpg,,,,,,,,,, +斑龙芋,Sauromatum venosum,,,20140912,云南省,2265~2310,阔叶林,,,https://image.cvh.ac.cn/files/l/KUN/1279242.jpg,,,,,,,,,, +斑龙芋,Sauromatum venosum,李恒,8819,19880526,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/29371.jpg,,,,,,,,,, +川甘风毛菊,Saussurea acroura,陈又生,6299,20060824,甘肃省,2000,Grassland,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772166.jpg,,,,,,,,,, +川甘风毛菊,Saussurea acroura,"汤彦承,许介眉,潘开玉",126,19750909,四川省,2200,针叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391753.jpg,,,,,,,,,, +川甘风毛菊,Saussurea acroura,王作宾,13447,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390206.jpg,,,,,,,,,, +,Saussurea acutisquama,康藏植物考察队,10-0933,20100730,青海省,4389~4450,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052160.jpg,,,,,,,,,, +,Saussurea aerjingensis,李学禹,94057,19940905,新疆维吾尔自治区,2900,盐化草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934994.jpg,,,,,,,,,, +阿尔金风毛菊,Saussurea aerjingensis,李学禹,94057,1994.9.5,新疆维吾尔自治区 ,2900,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042511.jpg,,,,,,,,,, +阿尔金风毛菊,Saussurea aerjingensis,李学禹,94057,199495,,2900,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022939.jpg,,,,,,,,,, +草地风毛菊+,Saussurea amara,张彩飞,2989,20110923,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247450.jpg,,,,,,,,,, +草地风毛菊+,Saussurea amara,陈全胜,CF-0010-290,20170827,内蒙古自治区,1074,河滩草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246949.jpg,,,,,,,,,, +草地风毛菊+,Saussurea amara,"陈又生,袁慊",141565,20140815,新疆维吾尔自治区,2030,石砾草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084663.jpg,,,,,,,,,, +,Saussurea andersoni,"FLPH Tibet Expedition(Y.S.Chen,Z.Y.Chang,M.Deng et",13-2330,20130823,西藏自治区,3878,in moss beside Abies and Rhododendron forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110852.jpg,,,,,,,,,, +,Saussurea andersoni,G.Forrest,26915,19250700,云南省,4333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390480.jpg,,,,,,,,,, +,Saussurea andersonii,"FLPH Tibet Expedition(Y.S.Chen,Z.Y.Chang,M.Deng et",13-2330,20130823,西藏自治区,3878,in moss beside Abies and Rhododendron forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110852.jpg,,,,,,,,,, +卵苞风毛菊,Saussurea andersonii,G.Forrest,26915,,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0627709.jpg,,,,,,,,,, +吉隆风毛菊,Saussurea andryaloides,PLPH Tibet expedition,12-0295,20120907,西藏自治区,5000,砾石山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016810.jpg,,,,,,,,,, +吉隆风毛菊,Saussurea andryaloides,陈又生,13-2273,20130904,新疆维吾尔自治区,4800,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919869.jpg,,,,,,,,,, +沙生风毛菊,Saussurea arenaria,Ho Ting-njung et al ,1192,19930812,青海省,4000,on valey sides,,有花有果,https://image.cvh.ac.cn/files/l/PE/00519159.jpg,,,,,,,,,, +沙生风毛菊,Saussurea arenaria,青藏队植被组,8756,19760629,西藏自治区,4000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00455086.jpg,,,,,,,,,, +云状雪兔子,Saussurea aster,杨竞生,91-761,19910801,西藏自治区,4700,流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078031.jpg,,,,,,,,,, +云状雪兔子,Saussurea aster,,42,19640614,青海省,4900,山地阴坡 砾石地湿润,,有花无果,https://image.cvh.ac.cn/files/l/PE/00455090.jpg,,,,,,,,,, +,Saussurea austrotibetica,FLPH Tibet Expedition,13-894,20130811,西藏自治区,3671,Alpine sandy meadows,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088152.jpg,,,,,,,,,, +藏南风毛菊,Saussurea austrotibetica,刘全儒等,QH2014654,20140712,青海省,4292,草甸,草,有花无果,https://image.cvh.ac.cn/files/l/BNU/0032041.jpg,,,,,,,,,, +漂亮风毛菊,Saussurea bella,D.E.Boufford et al.,36613,20060816,四川省,,Grass covered slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885642.jpg,,,,,,,,,, +漂亮风毛菊,Saussurea bella,杨竞生,91-551,19910706,西藏自治区,3850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716566.jpg,,,,,,,,,, +漂亮风毛菊,Saussurea bella,刘尚武,504,19650822,青海省,3850,河滩砂地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716565.jpg,,,,,,,,,, +,Saussurea bhutanensis,FLPH Tibet Expedition,13-2131,20130825,西藏自治区,4870,Alpine sandy meadows and scree,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111930.jpg,,,,,,,,,, +,Saussurea bodinieri,FLPH Tibet Expedition,12-1374,20120916,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113389.jpg,,,,,,,,,, +,Saussurea bodinieri,D.E.Boufford et al.,42010,20090808,云南省,4280~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885643.jpg,,,,,,,,,, +短苞风毛菊,Saussurea brachylepis,杨竞生,91-589,19910709,西藏自治区,4500,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908260.jpg,,,,,,,,,, +短苞风毛菊,Saussurea brachylepis,"关克俭,王文采",995,19510915,四川省,4000,高山草坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908252.jpg,,,,,,,,,, +,Saussurea brachylepis,K. A. H. Smith,11774,1934/9/4,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00011742.jpg,,,,,,,,,, +膜苞雪莲,Saussurea bracteata,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1263,20130815,西藏自治区,5300,小溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111230.jpg,,,,,,,,,, +膜苞雪莲,Saussurea bracteata,,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00390587.jpg,,,,,,,,,, +异色风毛菊,Saussurea brunneopilosa,D.E.Boufford et al.,39205,20070807,四川省,4250~4530,Meadow and on shrub covered slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885644.jpg,,,,,,,,,, +异色风毛菊,Saussurea brunneopilosa,青藏队,1611,19590806,青海省,3300,阳坡松树林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716513.jpg,,,,,,,,,, +异色风毛菊,Saussurea brunneopilosa,王一峰等,94370,19940712,甘肃省,3350,高山草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716488.jpg,,,,,,,,,, +泡叶风毛菊,Saussurea bullata,K.M.Feng,2358,19390914,西藏自治区,,on open hill side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391749.jpg,,,,,,,,,, +泡叶风毛菊,Saussurea bullata,北京所横断山队,2704,19810805,云南省,2900,白水云南松林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390710.jpg,,,,,,,,,, +泡叶风毛菊,Saussurea bullata,青藏队,12319,19830723,四川省,4000,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390605.jpg,,,,,,,,,, +灰白风毛菊,Saussurea cana,张中帅,119,20130828,新疆维吾尔自治区,2705,干旱山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016290.jpg,,,,,,,,,, +灰白风毛菊,Saussurea cana,中苏队,1598,19640812,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716540.jpg,,,,,,,,,, +,Saussurea candolleana,FLPH Tibet Expedition,12-0315,20120909,西藏自治区,3800,山谷溪边草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110973.jpg,,,,,,,,,, +尾叶风毛菊,Saussurea caudata,"D.E.Boufford,K.Fujikawa,S.L.Kelley etc.",38339,20070727,四川省,3100~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102010.jpg,,,,,,,,,, +尾叶风毛菊,Saussurea caudata,D.E. Boufford et al.,43354,20130901,云南省,3490,"On steep,wet shale slope at edge of thicket.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01919875.jpg,,,,,,,,,, +百裂风毛菊,Saussurea centiloba,汤宗孝,462,19820721,四川省,4000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01717360.jpg,,,,,,,,,, +百裂风毛菊,Saussurea centiloba,汤宗孝,815,19810807,云南省,3330,亚高山灌丛草间,,有花无果,https://image.cvh.ac.cn/files/l/PE/01717358.jpg,,,,,,,,,, +康定风毛菊,Saussurea ceterach,PLPH Tibet expedition,12-2150,,西藏自治区,4750,山谷灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016808.jpg,,,,,,,,,, +康定风毛菊,Saussurea ceterach,D.E.Boufford et al,36648,20060816,四川省,4475,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912903.jpg,,,,,,,,,, +康定风毛菊,Saussurea ceterach,"杨亲二,孔宏智",98-313,19930331,云南省,4200,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908258.jpg,,,,,,,,,, +,Saussurea chapmanii,,481,19720622,西藏自治区,3500,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390724.jpg,,,,,,,,,, +抱茎风毛菊,Saussurea chingiana,王作宾,17343,19530921,甘肃省,1420,生沟中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391091.jpg,,,,,,,,,, +抱茎风毛菊,Saussurea chingiana,王启无,83749,19390925,云南省,1350,草坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/728832.jpg,,,,,,,,,, +抱茎风毛菊,Saussurea chingiana,荔波队,2118,19590923,贵州省,1100,草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/728841.jpg,,,,,,,,,, +木质风毛菊,Saussurea chondrilloides,"武素功,大场秀章,吴玉虎,费勇",2131,19880804,新疆维吾尔自治区,2800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/148558.jpg,,,,,,,,,, +木质风毛菊,Saussurea chondrilloides,路端正,,1993.8.1,新疆维吾尔自治区 ,1100,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042551.jpg,,,,,,,,,, +木质风毛菊,Saussurea chondrilloides,路端正,,1993813,,1100,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022979.jpg,,,,,,,,,, +,Saussurea cinerea,青藏队,1090,19870816,新疆维吾尔自治区,3000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716448.jpg,,,,,,,,,, +昆仑风毛菊,Saussurea cinerea,,61,1971.7.2,新疆维吾尔自治区 ,2800,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042548.jpg,,,,,,,,,, +昆仑风毛菊,Saussurea cinerea,,61,1971720,,2800,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022976.jpg,,,,,,,,,, +鞘基风毛菊,Saussurea colpodes,西藏中草药普查队,1485,19720826,西藏自治区,3340,林缘 路边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030093.jpg,,,,,,,,,, +鞘基风毛菊,Saussurea colpodes,"张挺, 刘成, 亚吉东",18CS17696,20180916,西藏,3988,路边山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487403.jpg,,,,,,,,,, +柱茎风毛菊,Saussurea columnaris,康藏植物考察队,10-3171,20100902,云南省,4600,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909591.jpg,,,,,,,,,, +柱茎风毛菊,Saussurea columnaris,青藏队,14012,19830913,四川省,4200,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716443.jpg,,,,,,,,,, +,Saussurea conaensis,"Y.S.Chen,Z.Y.Chang et al.",13-1543,20130818,西藏自治区,4620,砾石草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052248.jpg,,,,,,,,,, +革苞风毛菊,Saussurea coriacea,FLPH Tibet Expedition,12-372,20120909,西藏自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01968172.jpg,,,,,,,,,, +革苞风毛菊,Saussurea coriacea,D.E.Boufford et al.,34515,20050810,四川省,4060~4150,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01912934.jpg,,,,,,,,,, +小头风毛菊,Saussurea crispa,"陈又生,张树仁,于胜祥,卫然",691,20111118,西藏自治区,2400,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016837.jpg,,,,,,,,,, +小头风毛菊,Saussurea crispa,贵州队,7856,19600818,贵州省,1400,山坡草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830147.jpg,,,,,,,,,, +小头风毛菊,Saussurea crispa,余少林,900269,19561118,广西壮族自治区,,路旁阳处野生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01830146.jpg,,,,,,,,,, +达乌里风毛菊,Saussurea daurica,崔光勋 ,689,19560824,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/14170020x0001.jpg,,,,,,,,,, +达乌里风毛菊,Saussurea daurica,曲波,王正文1636,20180629,内蒙古,624米,草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0255064.jpg,,,,,,,,,, +昆仑雪兔子,Saussurea depsangensis,郭柯,K-177,19900805,青海省,5040,昆仑南坡冲积扇,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099567.jpg,,,,,,,,,, +昆仑雪兔子,Saussurea depsangensis,"Y.S.Chen,Z.Y.Chang et al.",13-1285,20130815,西藏自治区,5330,高寒荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052513.jpg,,,,,,,,,, +长梗风毛菊,Saussurea dolichopoda,徐连升,150193,20150809,湖北省,2607,岩石表面,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084633.jpg,,,,,,,,,, +长梗风毛菊,Saussurea dolichopoda,巴山采集队,5592,20110712,四川省,2000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01872466.jpg,,,,,,,,,, +长梗风毛菊,Saussurea dolichopoda,白水江采集队,5678,20070905,甘肃省,2400~2700,林缘林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01688570.jpg,,,,,,,,,, +,Saussurea donkiah,"Y.S.Chen,Z.Y.Chang,M.Deng F.Q.Zhang,Y.Xu",13-1623,20130819,西藏自治区,4451,砾石灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016154.jpg,,,,,,,,,, +中甸风毛菊,Saussurea dschungdienensis,康藏植物考察队,10-3241,20100903,云南省,4185,灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053040.jpg,,,,,,,,,, +中甸风毛菊,Saussurea dschungdienensis,青藏队,13999,19830913,四川省,4200~4300,灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391133.jpg,,,,,,,,,, +,Saussurea durgae,陈又生,9507,20090821,西藏自治区,4700,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909624.jpg,,,,,,,,,, +柳叶菜风毛菊,Saussurea epilobioides,D.E.boufford B.Bartholomew S.L.Kelley et al,36518,20060816,四川省,3720,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102024.jpg,,,,,,,,,, +柳叶菜风毛菊,Saussurea epilobioides,孙柯儿,242,19910712,甘肃省,2700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912769.jpg,,,,,,,,,, +棉头风毛菊,Saussurea eriocephala,北京市横断山队,2793,19810809,云南省,1900,路边时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052826.jpg,,,,,,,,,, +棉头风毛菊,Saussurea eriocephala,川经西(59)字 武素功,3549,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052825.jpg,,,,,,,,,, +,Saussurea eriostemon,"Y.S.Chen,Z.Y.Chang et al.",13-1767,20130822,西藏自治区,,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052265.jpg,,,,,,,,,, +红柄雪莲,Saussurea erubescens,"Y.S.Chen. Z.Y.Chang,M.Deng et al.",13-0047,20130730,青海省,4543,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016816.jpg,,,,,,,,,, +红柄雪莲,Saussurea erubescens,D.E.Boufford et al.,39418,20070810,四川省,3935,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912997.jpg,,,,,,,,,, +锐齿风毛菊,Saussurea euodonta,"陈又生,毕延超",11-117,20110808,云南省,3646,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016367.jpg,,,,,,,,,, +锐齿风毛菊,Saussurea euodonta,青藏队,12404,19830724,四川省,3800,山坡冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391218.jpg,,,,,,,,,, +中新风毛菊,Saussurea famintziniana,潘伯荣,88050,88.07.24,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042617.jpg,,,,,,,,,, +中新风毛菊,Saussurea famintziniana,潘伯荣,88050,880724,,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20023045.jpg,,,,,,,,,, +奇形风毛菊,Saussurea fastuosa,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-2187,20130825,西藏自治区,3500,河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016680.jpg,,,,,,,,,, +奇形风毛菊,Saussurea fastuosa,朱水法,20472,19590926,四川省,2800,河滩上 草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00455174.jpg,,,,,,,,,, +管茎雪兔子,Saussurea fistulosa,"E.V.Raab-Straube,M.Smalla,H.Sun",623,20000907,云南省,4700,"Rock steps with soil accumulation, granite",,,https://image.cvh.ac.cn/files/l/KUN/1283132.jpg,,,,,,,,,, +,Saussurea fistulosa,"Forrest, George",20709,21-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00259838.jpg,,,,,,,,,, +黄绿苞风毛菊,Saussurea flavo-virens,青藏队,74-2352B,19740912,西藏自治区,4200,山坡 灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030107.jpg,,,,,,,,,, +,Saussurea fuscipappa,"陈又生,毕延超",11-191,20110822,西藏自治区,4412,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053541.jpg,,,,,,,,,, +,Saussurea fuscipappa,C.W.Wang,69849,19350900,云南省,2700,Grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052281.jpg,,,,,,,,,, +川滇雪兔子,Saussurea georgei,K.M.Feng,1523,19390706,云南省,,山岩坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393844.jpg,,,,,,,,,, +川滇雪兔子,Saussurea georgei,D. E. Boufford et al.,42580,20100803,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01897223.jpg,,,,,,,,,, +冰川雪兔子,Saussurea glacialis,"陈又生,袁慊",141396,20140808,新疆维吾尔自治区,4000,冰川下砾石草坡,,,https://image.cvh.ac.cn/files/l/PE/02053667.jpg,,,,,,,,,, +冰川雪兔子,Saussurea glacialis,PLPH Tibet expedition,12-1077,,西藏自治区,,高山流石滩,,,https://image.cvh.ac.cn/files/l/PE/02016752.jpg,,,,,,,,,, +冰川雪兔子,Saussurea glacialis,S.Ikon-nikov,4999,19630823,,4750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01718056.jpg,,,,,,,,,, +球花风毛菊,Saussurea globosa,D.E.Boufford et al.,39173,20070806,四川省,3760,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912941.jpg,,,,,,,,,, +球花风毛菊,Saussurea globosa,孙学刚等,20010329,20010815,甘肃省,2550,沟谷灌丛带山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798811.jpg,,,,,,,,,, +鼠麴风毛菊,Saussurea gnaphalodes,傅国勋,618,19600821,西藏自治区,4100,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064143.jpg,,,,,,,,,, +鼠麴风毛菊,Saussurea gnaphalodes,郭柯,K-134,19900715,青海省,5130,冰碛物北破,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060137.jpg,,,,,,,,,, +鼠麴风毛菊,Saussurea gnaphalodes,L.Ivanina L.Sergienko L.Averyanov O.Zakharieva,7,19780613,,3800,Kirghizatan,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055611.jpg,,,,,,,,,, +,Saussurea gongriensis,"Y.S.Chen,Z.Y.Chang et al.",13-1160,20130814,西藏自治区,3432,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053549.jpg,,,,,,,,,, +雪兔子,Saussurea gossipiphora,"高连明,刘杰,张书东",GLM-081959,20080924,西藏自治区,4430,高山灌丛或草甸,,,https://image.cvh.ac.cn/files/l/KUN/1273290.jpg,,,,,,,,,, +雪兔子,Saussurea gossipiphora,史效武,MLS-65,20090917,云南省,4800,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 006433.jpg,,,,,,,,,, +雪兔子,Saussurea gossipiphora,张志翔,赵良成等,DFB119576,20200727,西藏,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00099375.jpg,,,,,,,,,, +纤细风毛菊,Saussurea graciliformis,生态室,Da3,19580831,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716165.jpg,,,,,,,,,, +纤细风毛菊,Saussurea graciliformis,河西队,161,19670805,甘肃省,2700,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716159.jpg,,,,,,,,,, +纤细风毛菊,Saussurea graciliformis,何叶祺,5288,1959/7/24,甘肃,2200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0390912.jpg,,,,,,,,,, +禾叶风毛菊,Saussurea graminea,FLPH Tibet Expedition,12-0445,20120911,西藏自治区,5000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113388.jpg,,,,,,,,,, +禾叶风毛菊,Saussurea graminea,"D.E.Boufford,B.Bartholomew,S.L.Kelley etc.",36182,20060809,四川省,4640~4830,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102007.jpg,,,,,,,,,, +禾叶风毛菊,Saussurea graminea,,368,19640713,青海省,4400,山顶阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082937.jpg,,,,,,,,,, +,Saussurea graminea var. ortholepis,,藏71-036,19720800,西藏自治区,5000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716490.jpg,,,,,,,,,, +,Saussurea graminea var. ortholepis,,10207,19750710,四川省,3400,阴坡山腰,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716140.jpg,,,,,,,,,, +,Saussurea graminea var. ortholepis,王启无,65871,19350800,云南省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391169.jpg,,,,,,,,,, +密毛风毛菊,Saussurea graminifolia,FLPH Tibet Expedition,12-0356,20120909,西藏自治区,4500~4700,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053037.jpg,,,,,,,,,, +密毛风毛菊,Saussurea graminifolia,徐连升,X140080,20140814,吉林省,868,河边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035905.jpg,,,,,,,,,, +硕首雪兔子,Saussurea grandiceps,青藏队植被组,5834,19750813,西藏自治区,5000~5300,山顶垭口流石坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01581317.jpg,,,,,,,,,, +粗裂风毛菊,Saussurea grosseserrata,"陈又生,毕延超",11-107,20110808,云南省,4000,石砾坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111240.jpg,,,,,,,,,, +粗齿风毛菊,Saussurea grosseserrata,George Forrest,6339,191008,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU050455.jpg,,,,,,,,,, +,Saussurea grosseserrata,J. M. Delavay,2102,1886-8-14,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00011754.jpg,,,,,,,,,, +加查雪兔子,Saussurea gyacaensis,西藏中草药普查队,4363,19720823,西藏自治区,4850,岩石下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050352.jpg,,,,,,,,,, +,Saussurea gymnocephala,杨竞生,91-828,19910804,西藏自治区,4000,曲干达草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052792.jpg,,,,,,,,,, +,Saussurea gymnocephala,,644,19640817,青海省,4200,盆地中央河漫滩沼泽,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882150.jpg,,,,,,,,,, +湖北风毛菊,Saussurea hemsleyi,徐连升,150350,,青海省,,林下阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235057.jpg,,,,,,,,,, +湖北风毛菊,Saussurea hemsleyi,徐洪贵,140752,20140723,内蒙古自治区,1790,疏林下,,,https://image.cvh.ac.cn/files/l/PE/02053714.jpg,,,,,,,,,, +湖北风毛菊,Saussurea hemsleyi,李馨,78344,19580805,四川省,3450,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052517.jpg,,,,,,,,,, +巴东风毛菊,Saussurea henryi,巴山采集队,2369,20080726,重庆市,2177,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01315930.jpg,,,,,,,,,, +巴东风毛菊,Saussurea henryi,赵子恩,1606,19800902,湖北省,2800,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0022400.jpg,,,,,,,,,, +巴东风毛菊,Saussurea henryi,黎斌,LB19324,20180729,陕西省,2018,山坡路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH017867.jpg,,,,,,,,,, +长毛风毛菊,Saussurea hieracioides,"陈又生,毕延超",11-122,20110809,云南省,3700,草地或草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111245.jpg,,,,,,,,,, +长毛风毛菊,Saussurea hieracioides,"Y.S.Chen. Z.Y.Chang,M.Deng et al.",13-0813,20130809,西藏自治区,4231,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016819.jpg,,,,,,,,,, +长毛风毛菊,Saussurea hieracioides,青藏队,12281,19830722,四川省,3900,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776971.jpg,,,,,,,,,, +,Saussurea hookeri,FLPH Tibet Expedition,12-0285,20120907,西藏自治区,,湿草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113423.jpg,,,,,,,,,, +,Saussurea hookeri,D.E.Boufford et al.,36768,20060817,四川省,4850~4900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885649.jpg,,,,,,,,,, +,Saussurea hylophila,"Jin Xh,Wang LS,Wang Q et al.",ST1668,20130802,云南省,2700~3700,conifer forest to apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01979048.jpg,,,,,,,,,, +,Saussurea hylophila,X.H.Jin et al.,DLJ-ET 1908,20080711,西藏自治区,,conifer forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908036.jpg,,,,,,,,,, +,Saussurea inversa,青甘队,1193,19590806,青海省,4130,北坡柳稍林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882974.jpg,,,,,,,,,, +,Saussurea inversa,青藏队植被组,11883,19760707,西藏自治区,5400,高山 草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00455241.jpg,,,,,,,,,, +,Saussurea inversa,,521,19640704,甘肃省,4000~4100,南坡 石缝,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393826.jpg,,,,,,,,,, +风毛菊,Saussurea japonica,陈全胜,CF-0007-183,20170825,内蒙古自治区,462,碱化草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246860.jpg,,,,,,,,,, +风毛菊,Saussurea japonica,石雷 林秦文,2011031,20110415,北京市,160,阳坡草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112302.jpg,,,,,,,,,, +风毛菊,Saussurea japonica,,453,19571003,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111327.jpg,,,,,,,,,, +,Saussurea jindongensis,PLPH Tibet expedition,12-1087,20120910,西藏自治区,4832,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052893.jpg,,,,,,,,,, +甘肃风毛菊,Saussurea kansuensis,FLPH Sichuan Expedition,151863,20150000,四川省,,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084637.jpg,,,,,,,,,, +甘肃风毛菊,Saussurea kansuensis,生物所西藏考察队,4406,19740917,青海省,4500,丘间平地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908212.jpg,,,,,,,,,, +喀什风毛菊,Saussurea kaschgarica,陈又生,13-2288,20130905,新疆维吾尔自治区,3668,湖边沙坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02013838.jpg,,,,,,,,,, +喀什风毛菊,Saussurea kaschgarica,,R1069,61.08.03,新疆维吾尔自治区 ,4000,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042703.jpg,,,,,,,,,, +喀什风毛菊,Saussurea kaschgarica,,R1069,610803,,4000,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20023131.jpg,,,,,,,,,, +重齿风毛菊,Saussurea katochaete,FLPH Tibet Expedition,12-0631,20120905,西藏自治区,4364,湿草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113422.jpg,,,,,,,,,, +重齿风毛菊,Saussurea katochaete,"张中帅,李灵露",zzs&111-245,20140915,云南省,4819,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037256.jpg,,,,,,,,,, +拉萨雪兔子,Saussurea kingii,FLPH Tibet Expedition,12-0027,20120902,西藏自治区,4755,湖边沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110853.jpg,,,,,,,,,, +拉萨雪兔子,Saussurea kingii,傅坤俊,5117,19520720,陕西省,1900,高山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716121.jpg,,,,,,,,,, +裂叶风毛菊,Saussurea laciniata,,1410,19640807,甘肃省,1800,盐渍化土壤,,有花无果,https://image.cvh.ac.cn/files/l/PE/01837341.jpg,,,,,,,,,, +裂叶风毛菊,Saussurea laciniata,生物系四年级,286,19620721,内蒙古自治区,2560,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00392477.jpg,,,,,,,,,, +裂叶风毛菊,Saussurea laciniata,傅坤俊,6896,19530712,陕西省,0~875,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628009.jpg,,,,,,,,,, +高盐地风毛菊,Saussurea lacostei,,8446,58.09.19,新疆维吾尔自治区 ,2650,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042718.jpg,,,,,,,,,, +高盐地风毛菊,Saussurea lacostei,,8446,580919,,2650,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20023146.jpg,,,,,,,,,, +,Saussurea laneana,"陈又生,王泽欢",9324,20090808,西藏自治区,3900~4100,岩石草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052779.jpg,,,,,,,,,, +,Saussurea laneana,,76-398,19760720,,4000,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00519213.jpg,,,,,,,,,, +,Saussurea langpoensis,Y. S. Chen et al.,13-910,20130811,西藏自治区,3580~3650,Growing in grassy slopes along the stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088043.jpg,,,,,,,,,, +绵头雪莲花,Saussurea laniceps,FLPH Tibet Expedition,12-1426,20120917,西藏自治区,4700,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113417.jpg,,,,,,,,,, +绵头雪莲花,Saussurea laniceps,"杨亲二,孔宏智",s.n.,19980000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01837501.jpg,,,,,,,,,, +双齿风毛菊,Saussurea lavrenkoana,T.T.Yu,14644,19371027,四川省,4000,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390552.jpg,,,,,,,,,, +,Saussurea lavrenkoana,T. T. Yu,14644,1937/10/27,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00011764.jpg,,,,,,,,,, +,Saussurea lavrenkoana,"E.V. Raab-Straube,M. Smalla & H. Sun",870,20000914,云南,4300,"On W-exposed, stabilized scree, marble",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498355.jpg,,,,,,,,,, +平滑果风毛菊,Saussurea leiocarpa,秦志业,10185,19630818,西藏自治区,4500,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/15206.jpg,,,,,,,,,, +光果风毛菊,Saussurea leiocarpa,海仙,肖茂荣,李红,肖茂荣,HB2007-351,20071003,云南省,4020,高山流石滩,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 004547.jpg,,,,,,,,,, +,Saussurea leiocarpa,K. A. H. Smith,3526,1922/8/8,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00011765.jpg,,,,,,,,,, +狮牙草状风毛菊,Saussurea leontodontoides,"张中帅,李灵露",zzs&111-243,20140915,云南省,4366,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037504.jpg,,,,,,,,,, +狮牙草状风毛菊,Saussurea leontodontoides,"D.E.Boufford,J.F.Harber & Qia Wang",43168,20130822,四川省,4100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021996.jpg,,,,,,,,,, +狮牙草状风毛菊,Saussurea leontodontoides,PLPH Tibet expedition,12-0547,20120914,西藏自治区,4505,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016798.jpg,,,,,,,,,, +薄苞风毛菊,Saussurea leptolepis,"陈又生,毕延超",11-157,20110817,云南省,4085,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111243.jpg,,,,,,,,,, +薄苞风毛菊,Saussurea leptolepis,"陈又生,毕延超",11-174,20110818,西藏自治区,4423,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111242.jpg,,,,,,,,,, +羽裂雪兔子,Saussurea leucoma,"陈又生,毕延超",11-187,20110822,西藏自治区,4672~4752,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053028.jpg,,,,,,,,,, +羽裂雪兔子,Saussurea leucoma,"张中帅,李灵露",zzs&111-251,20140915,云南省,4819,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037496.jpg,,,,,,,,,, +白叶风毛菊,Saussurea leucophylla,"陈又生,袁慊",141398,20140808,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064441.jpg,,,,,,,,,, +白叶风毛菊,Saussurea leucophylla,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13276,20160821,新疆,2994,高山石质山坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1458738.jpg,,,,,,,,,, +白叶风毛菊,Saussurea leucophylla,关克俭,2140,19570721,新疆维吾尔自治区 ,3000,山坡,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00240209.jpg,,,,,,,,,, +,Saussurea lhozhagensis,Y. S. Chen et al.,13-1587,20130818,西藏自治区,4330~4568,Alpine meadows and thickets among scree,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099719.jpg,,,,,,,,,, +,Saussurea lhunzensis,"FLPH Tibet Expedition(Y.S.Chen,Z.Y.Chang,M.Deng et",13-260,20130804,西藏自治区,4343,Alpine dandy meadows and thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235956.jpg,,,,,,,,,, +林周风毛菊,Saussurea lhunzhubensis,"张永田,郞楷永",2596,19650904,西藏自治区,4600,山坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393912.jpg,,,,,,,,,, +川陕风毛菊,Saussurea licentiana,T.N.Liou & P.C.Tsong,696,19370908,陕西省,2880,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00392646.jpg,,,,,,,,,, +川陕风毛菊,Saussurea licentiana,W.Y.Hsia,4683,19380900,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030138.jpg,,,,,,,,,, +小舌风毛菊,Saussurea lingulata,T.T.Yu,22851,19381109,云南省,3800,石边草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110939.jpg,,,,,,,,,, +小舌风毛菊,Saussurea lingulata,X.H.Jin et al.,DLJ-ET 1823,20080713,西藏自治区,3700,conifer forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908039.jpg,,,,,,,,,, +长叶风毛菊,Saussurea longifolia,陈又生,9633,20090828,四川省,3950,河边草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052794.jpg,,,,,,,,,, +长叶风毛菊,Saussurea longifolia,R.C.Ching,22031,19391022,江西省,,on open pasture,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909529.jpg,,,,,,,,,, +长叶风毛菊,Saussurea longifolia,T.T.Yu,13794,19371020,云南省,3500,草坪,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909528.jpg,,,,,,,,,, +带叶风毛菊,Saussurea loriformis,陈又生,7146,20070722,四川省,4800,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670877.jpg,,,,,,,,,, +带叶风毛菊,Saussurea loriformis,G.Forrest,29152,19300000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00455231.jpg,,,,,,,,,, +,Saussurea luae,FLPH Tibet Expedition,12-1994,,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113415.jpg,,,,,,,,,, +,Saussurea luae,"D.E.Boufford,B.Bartholomew,S.L.Kelley etc.",36614,20060816,四川省,4750,gravelly and rocky slopes and adjacent vegetated area granite bedrock grass covered slope around lake,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064174.jpg,,,,,,,,,, +大头羽裂风毛菊,Saussurea lyratifolia,青藏队,3805,19740731,西藏自治区,0,山坡水沟边草丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/731103.jpg,,,,,,,,,, +大耳叶风毛菊,Saussurea macrota,刘恩德等,3176,20110813,四川省,2820,bushwood,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920722.jpg,,,,,,,,,, +大耳叶风毛菊,Saussurea macrota,李活,304,19930711,甘肃省,2900,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01912771.jpg,,,,,,,,,, +大耳叶风毛菊,Saussurea macrota,"武建勇,吴振海,刘艳等",58,20050707,陕西省,2000,登山石阶旁潮湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799742.jpg,,,,,,,,,, +尖头风毛菊,Saussurea malitiosa,张中帅,383,20130914,甘肃省,3006,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016291.jpg,,,,,,,,,, +尖头风毛菊,Saussurea malitiosa,左振常,123,1964/ /,青海,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0296851.jpg,,,,,,,,,, +尖头风毛菊,Saussurea malitiosa,青甘队,907,19590722,青海省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/003040.jpg,,,,,,,,,, +水母雪莲花,Saussurea medusa,FLPH Tibet Expedition,12-2173,,西藏自治区,5000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113382.jpg,,,,,,,,,, +水母雪莲花,Saussurea medusa,,594,19640724,青海省,4800~4900,砾石带,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082989.jpg,,,,,,,,,, +水母雪莲花,Saussurea medusa,"张中帅,李灵露",zzs&111-253,20140915,云南省,4819,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037494.jpg,,,,,,,,,, +,Saussurea megacephala,王启无,65881,19350800,四川省,3500,"Juniperus woods,Rock side",,有花无果,https://image.cvh.ac.cn/files/l/PE/00392882.jpg,,,,,,,,,, +东风草,Saussurea megacephala,廖博儒,1490,,湖南省,,,,无花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI041714.jpg,,,,,,,,,, +,Saussurea melanotricha,G.Forrest,29173,19300000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00392894.jpg,,,,,,,,,, +,Saussurea melanotricha,C.W.Wang,65983,19350800,四川省,3750,Mountain pass,,有花无果,https://image.cvh.ac.cn/files/l/PE/00392885.jpg,,,,,,,,,, +黑苞风毛菊,Saussurea melanotricha,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191491,20190926,云南,4290,亚热带,高山流石滩,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486237.jpg,,,,,,,,,, +小风毛菊,Saussurea minuta,王勤,276,19930711,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01912772.jpg,,,,,,,,,, +小风毛菊,Saussurea minuta,陈又生,7210,20070728,四川省,4000,溪边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671006.jpg,,,,,,,,,, +小风毛菊,Saussurea minuta,甘青队 钟补求,8657,19580803,青海省,4370,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/003083.jpg,,,,,,,,,, +蒙古风毛菊,Saussurea mongolica,张彩飞,3274,20120811,北京市,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247499.jpg,,,,,,,,,, +蒙古风毛菊,Saussurea mongolica,郎学忠,71,19560824,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078445.jpg,,,,,,,,,, +蒙古风毛菊,Saussurea mongolica,黄河队,487,19540708,甘肃省,1200,山坡阴处灌木丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072366.jpg,,,,,,,,,, +木里雪莲,Saussurea muliensis,方震东,116,19870710,云南省,4350~4750,高山流石滩,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002727.jpg,,,,,,,,,, +,Saussurea muliensis,"E.V. Raab-Straube,M. Smalla & H. Sun",910,20000914,云南,4300,In S-exposed rock fisssures filled with fine earth.,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498336.jpg,,,,,,,,,, +钻状风毛菊,Saussurea nematolepis,李馨,75437,19570726,四川省,2350,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716491.jpg,,,,,,,,,, +钻状风毛菊,Saussurea nematolepis,Wei-Ying Hsia,7026,19390900,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00393002.jpg,,,,,,,,,, +耳叶风毛菊,Saussurea neofranchetii,陈又生,7328,20070809,四川省,3200,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670765.jpg,,,,,,,,,, +耳叶风毛菊,Saussurea neofranchetii,俞德浚,12721,19370808,云南省,3400,in ravine,,有花无果,https://image.cvh.ac.cn/files/l/KUN/729356.jpg,,,,,,,,,, +钝苞雪莲,Saussurea nigrescens,康藏考察队,10-1563,20100810,西藏自治区,4000,林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111238.jpg,,,,,,,,,, +钝苞雪莲,Saussurea nigrescens,张中帅,444,20130919,甘肃省,3283,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016233.jpg,,,,,,,,,, +钝苞雪莲,Saussurea nigrescens,D.E.Boufford et al.,36859,20060818,四川省,4050,Grassy slope above lake,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885653.jpg,,,,,,,,,, +倒披针叶风毛菊,Saussurea nimborum,FLPH Tibet Expedition,12-2148,,西藏自治区,3350,山谷林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113391.jpg,,,,,,,,,, +倒披针叶风毛菊,Saussurea nimborum,陈晓澄等,5858,20140805,西藏,4295,灌林山顶,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00022754.jpg,,,,,,,,,, +聂拉木风毛菊,Saussurea nyalamensis,PLPH Tibet expedition,12-0391,20120909,西藏自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016387.jpg,,,,,,,,,, +聂拉木风毛菊,Saussurea nyalamensis,Barry、和光、马剑,D-025,20040708,云南省,4445,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002741.jpg,,,,,,,,,, +,Saussurea nyingchiensis,"陈又生,王泽欢",9395,20090810,西藏自治区,4574,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052890.jpg,,,,,,,,,, +苞叶雪莲,Saussurea obvallata,FLPH Tibet Expedition,12-0556,20120914,西藏自治区,4300,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113419.jpg,,,,,,,,,, +苞叶雪莲,Saussurea obvallata,Gaoligong Shan Biodiversity Survey,31200,20060818,云南省,3470,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772329.jpg,,,,,,,,,, +苞叶雪莲,Saussurea obvallata,D.E.Boufford et al.,36785,20060817,四川省,4625~4700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579824.jpg,,,,,,,,,, +少花风毛菊,Saussurea oligantha,张寿洲等,1097,20130927,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990426.jpg,,,,,,,,,, +少花风毛菊,Saussurea oligantha,"陈之端,冯旻,马欣堂等",960908,19960603,重庆市,1840,damp valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772180.jpg,,,,,,,,,, +乌恰风毛菊,Saussurea ovata,青藏队,1052,19870814,新疆维吾尔自治区,2900~3300,山坡云杉林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393107.jpg,,,,,,,,,, +乌恰风毛菊,Saussurea ovata,吴玉虎,35139,20050724,青海省,4460,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0221883.jpg,,,,,,,,,, +乌恰风毛菊,Saussurea ovata,新疆采集队,1864,78.08.03,新疆维吾尔自治区 ,3200,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042789.jpg,,,,,,,,,, +东俄洛风毛菊,Saussurea pachyneura,FLPH Sichuan Expedition,152790,20150912,四川省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084630.jpg,,,,,,,,,, +东俄洛风毛菊,Saussurea pachyneura,PLPH Tibet expedition,12-0433,,西藏自治区,5052,岩石缝草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016807.jpg,,,,,,,,,, +,Saussurea pagriensis,Y. S. Chen et al.,13-2141,20130825,西藏自治区,4600~4870,砾石草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099711.jpg,,,,,,,,,, +糠秕毛风毛菊,Saussurea paleacea,"覃海宁,董仕勇,康云等",61,20010807,西藏自治区,4000,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772197.jpg,,,,,,,,,, +糠秕毛风毛菊,Saussurea paleacea,青藏队,4303,19810825,四川省,3200,石灰岩 山坡碎石坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454360.jpg,,,,,,,,,, +小花风毛菊,Saussurea parviflora,"赤峰采集队(孙英宝,刘冰,田佳鹏等)",2-055,20080726,内蒙古自治区,1292,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064673.jpg,,,,,,,,,, +小花风毛菊,Saussurea parviflora,M.N.Shurupova,10002,20150729,,1300,"rare fir forest,SW slope",,有花无果,https://image.cvh.ac.cn/files/l/PE/02052964.jpg,,,,,,,,,, +红叶雪兔子,Saussurea paxiana,吴玉虎等,5565,19900729,青海省,4500,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776309.jpg,,,,,,,,,, +红叶雪兔子,Saussurea paxiana,杨竞生,91-651,19910710,西藏自治区,4600,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716168.jpg,,,,,,,,,, +红叶雪兔子,Saussurea paxiana,李馨,77969,19580629,四川省,4750,山岭附近乱石堆中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393409.jpg,,,,,,,,,, +显梗风毛菊,Saussurea peduncularis,"陈又生,毕延超",11-049,20110724,四川省,3100~3200,杜鹃及高山栎灌丛边缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016353.jpg,,,,,,,,,, +显梗风毛菊,Saussurea peduncularis,"董洪进,王泽欢,胡国雄等",493,20110917,云南省,3500,beside river,,无花有果,https://image.cvh.ac.cn/files/l/PE/02005676.jpg,,,,,,,,,, +褐花雪莲,Saussurea phaeantha,"陈又生,高云东",140507,20140712,四川省,4116,山顶草甸及杜鹃灌丛,,,https://image.cvh.ac.cn/files/l/PE/02053713.jpg,,,,,,,,,, +褐花雪莲,Saussurea phaeantha,李捷,183,19930709,甘肃省,2400,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01912789.jpg,,,,,,,,,, +,Saussurea pilinophylla,康藏植物考察队,10-1512,20100808,西藏自治区,4800,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052797.jpg,,,,,,,,,, +,Saussurea pilinophylla,,424,19640719,青海省,4600,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01315902.jpg,,,,,,,,,, +松林风毛菊,Saussurea pinetorum,白龙江考察队,516,19980721,甘肃省,2900,山地 山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556200.jpg,,,,,,,,,, +松林风毛菊,Saussurea pinetorum,赵重蕴,21678,19390920,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393570.jpg,,,,,,,,,, +松林风毛菊,Saussurea pinetorum,杨光辉,59277,19580824,重庆市,1900~2400,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393566.jpg,,,,,,,,,, +羽裂风毛菊,Saussurea pinnatidentata,于兆英,徐养鹏,2814,1982/7/28,甘肃,2300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0435557.jpg,,,,,,,,,, +羽裂风毛菊,Saussurea pinnatidentata,黄土队,5589,1985/7/31,青海,2600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0460057.jpg,,,,,,,,,, +,Saussurea polycolea,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-2179,20130825,西藏自治区,4000,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016834.jpg,,,,,,,,,, +,Saussurea polycolea,刘恩德等,2669,20100810,四川省,4279,Alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912926.jpg,,,,,,,,,, +水龙骨风毛菊,Saussurea polypodioides,"张中帅,李灵露",zzs&111-305,20140920,云南省,4192,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037122.jpg,,,,,,,,,, +水龙骨风毛菊,Saussurea polypodioides,陈又生,7117,20070721,四川省,4000,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670917.jpg,,,,,,,,,, +,Saussurea polystichoides,"Y.S.Chen,Z.Y.Chang et al.",13-2124,20130825,西藏自治区,4870,砾石草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052831.jpg,,,,,,,,,, +,Saussurea polystichoides,川经植,3393,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00392523.jpg,,,,,,,,,, +,Saussurea poochlamys,"张中帅,李灵露",zzs&111-301,20140920,云南省,4192,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037123.jpg,,,,,,,,,, +,Saussurea poochlamys,陈又生,9591,20090825,四川省,4000~4544,林下或灌丛下苔藓中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909593.jpg,,,,,,,,,, +杨叶风毛菊,Saussurea populifolia,D.E.Boufford et al.,40456,20070824,四川省,3575,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913029.jpg,,,,,,,,,, +杨叶风毛菊,Saussurea populifolia,"D.E.Boufford,M.J.Donoghue,Zelong Nie,P.W.Sweeney e",43800,20140815,湖北省,2300~2440,"Open areas on slopes and ledges at edge of mixed deciduous forest.Moist,dark soil at base of ledges.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01901883.jpg,,,,,,,,,, +紫白风毛菊,Saussurea porphyroleuca,R.C.Ching,30617,19390918,云南省,,on open pasture,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393677.jpg,,,,,,,,,, +紫白风毛菊,Saussurea porphyroleuca,H.T.Tsai,58173,19340825,云南省 ,0~4000,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628086.jpg,,,,,,,,,, +草原雪莲,Saussurea pratensis,杨永昌,368,19640713,青海省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/171039.jpg,,,,,,,,,, +草原雪莲,Saussurea pratensis,0,,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00118085.jpg,,,,,,,,,, +弯齿风毛菊,Saussurea przewalskii,D.E.Boufford et al.,42654,20100805,四川省,4410~4650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101868.jpg,,,,,,,,,, +弯齿风毛菊,Saussurea przewalskii,D.E.boufford B.Bartholomew D.A.Eaton et al,41089,20090725,西藏自治区,4470,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101866.jpg,,,,,,,,,, +,Saussurea pseudoeriostemon,FLPH Tibet Expedition,12-0372,20120909,西藏自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053016.jpg,,,,,,,,,, +,Saussurea pseudoleucoma,Y.S.Chen et al.,13-368,20130805,西藏自治区,4600,Alpine scree;accociate species including,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053328.jpg,,,,,,,,,, +风毛菊,Saussurea pseudolingulata,余奇、周晓雪、黎怀成,THP-KD-4576,20170716,四川,3768-4074,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241273.jpg,,,,,,,,,, +类尖头风毛菊,Saussurea pseudomalitiosa,Hoo et Wang,12577,1941/8/14,甘肃,3100,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0080046.jpg,,,,,,,,,, +类尖头风毛菊,Saussurea pseudomalitiosa,青甘队,1237,1959/8/7,青海,3830,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0169244.jpg,,,,,,,,,, +类尖头风毛菊,Saussurea pseudomalitiosa,吴玉虎,19566,20010723,青海省,0~2800,阴坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00007075.jpg,,,,,,,,,, +,Saussurea pseudosalsa,新疆综合考察队,10119,19590921,新疆维吾尔自治区,1350,泉水周围,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716589.jpg,,,,,,,,,, +,Saussurea pseudosalsa,,2,19580804,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716519.jpg,,,,,,,,,, +,Saussurea pseudosimpsoniana,FLPH Tibet Expedition,12-1086,20120910,西藏自治区,4832,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053334.jpg,,,,,,,,,, +,Saussurea pseudotridactyla,"Y.S.Chen,Z.Y.Chang,M.Deng,F.Q.Zhang,Y.Xu,W.T.Jin,Q",13-0926,20130811,西藏自治区,3683,冰川下跞石草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111933.jpg,,,,,,,,,, +,Saussurea pseudoyunnanensis,FLPH Tibet Expedition,12-2118,20120923,西藏自治区,3350,山谷林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053547.jpg,,,,,,,,,, +,Saussurea pseudoyunnanensis,康藏植物考察队,10-3032,20100903,云南省,3740~4100,高山栎林缘岩壁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053545.jpg,,,,,,,,,, +延翅风毛菊,Saussurea pteridophylla,FLPH Sichuan Expedition,151145,20150825,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235018.jpg,,,,,,,,,, +,Saussurea pteridophylla,"Handel-Mazzetti, H.",5458,3-Oct-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00383906.jpg,,,,,,,,,, +毛果风毛菊,Saussurea pubescens,西藏中草药普查队,881,19720730,西藏自治区,4900,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030164.jpg,,,,,,,,,, +小苞雪莲,Saussurea pubifolia var. lhasaensis,PLPH Tibet expedition,12-0427,,西藏自治区,5100,流石滩,,,https://image.cvh.ac.cn/files/l/PE/02016751.jpg,,,,,,,,,, +美丽风毛菊,Saussurea pulchra,黄改队,s.n.,19860820,青海省,2480,阳背,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844856.jpg,,,,,,,,,, +美丽风毛菊,Saussurea pulchra,,1265,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393624.jpg,,,,,,,,,, +美丽风毛菊,Saussurea pulchra,侯学煜,11524,19500916,吉林省,100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391179.jpg,,,,,,,,,, +垫风毛菊,Saussurea pulvinata,"郑度,郭柯",12268,19880803,新疆维吾尔自治区,3300,河谷侧坡下部Reaumurea kash荒漠中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390666.jpg,,,,,,,,,, +垫风毛菊,Saussurea pulvinata,郭诸王,11704,19750727,青海省,3000,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390663.jpg,,,,,,,,,, +紫苞风毛菊,Saussurea purpurascens,青藏队,74-2352A,19740912,西藏自治区,4200,山坡 灌丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00393617.jpg,,,,,,,,,, +紫苞风毛菊,Saussurea purpurascens,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1438-3114,20190815,宁夏,2458,山坡草地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1476785.jpg,,,,,,,,,, +紫苞风毛菊,Saussurea purpurascens,"朱长山,李世晋,侯学良,朱世新,李家美,张云霞,李景照,张若鹏,储嘉琳",140807116,20140807,河南省,,山顶,草本,多年生,有花无果,https://image.cvh.ac.cn/files/l/AU/AU064932.jpg,,,,,,,,,, +,Saussurea qamdoensis,陈又生,10-1200,20100804,西藏自治区,3682,picea forest margin and meadows on steep hillsides,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088149.jpg,,,,,,,,,, +,Saussurea quercifolia,"杨亲二,孔宏智",98-382,19980910,云南省,4300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776978.jpg,,,,,,,,,, +,Saussurea quercifolia,陈又生,7140,20070722,四川省,4800,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670894.jpg,,,,,,,,,, +,Saussurea quercifolia,"倪志诚,汪永泽,次多,次旦",1187,19800817,西藏自治区,4500,山坡流石堆,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393846.jpg,,,,,,,,,, +倒齿风毛菊,Saussurea retroserrata,FLPH Tibet Expedition,12-2001,,西藏自治区,4300,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113429.jpg,,,,,,,,,, +皱果风毛菊,Saussurea rhytidocarpa,陈又生,7151,20070723,四川省,4000,沙质坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671014.jpg,,,,,,,,,, +显鞘风毛菊,Saussurea rockii,青藏队,8771,19820726,云南省,3500,山坡灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393858.jpg,,,,,,,,,, +显鞘风毛菊,Saussurea rockii,H.T.Tsai,58056,19340818,,4000,pi lo shan,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030114.jpg,,,,,,,,,, +,Saussurea rolwalingensis,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1599,20130818,西藏自治区,4512,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016362.jpg,,,,,,,,,, +鸢尾叶风毛菊,Saussurea romuleifolia,D.E. Boufford et al.,43221,20130824,四川省,4100,"Remnant forest adjacent open,moist meadow.Open meadow in stony loam among low herbs",,有花无果,https://image.cvh.ac.cn/files/l/PE/01919889.jpg,,,,,,,,,, +鸢尾叶风毛菊,Saussurea romuleifolia,汤宗孝,594,19810715,云南省,4550,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01717393.jpg,,,,,,,,,, +盐地风毛菊,Saussurea salsa,于兆英,1837,19810817,宁夏回族自治区,1500,碱地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235887.jpg,,,,,,,,,, +盐地风毛菊,Saussurea salsa,"陈又生,袁慊",141621,20140818,新疆维吾尔自治区,716,荒漠盐碱地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084578.jpg,,,,,,,,,, +怒江风毛菊,Saussurea salwinensis,王启无,66043,19350800,西藏自治区,3800,Grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454035.jpg,,,,,,,,,, +怒江风毛菊,Saussurea salwinensis,0,20393,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00118096.jpg,,,,,,,,,, +怒江风毛菊,Saussurea salwinensis,史效武,MLS-164,20090919,云南省,4553,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001486.jpg,,,,,,,,,, +糙毛风毛菊,Saussurea scabrida,FLPH Sichuan Expedition,152792,20150912,四川省,3450,on rocky slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084355.jpg,,,,,,,,,, +糙毛风毛菊,Saussurea scabrida,"陈又生,毕延超",11-189,20110822,西藏自治区,4231,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016356.jpg,,,,,,,,,, +,Saussurea schlagintweiti,FLPH Tibet Expedition,12-0215,20120905,西藏自治区,4667,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113395.jpg,,,,,,,,,, +,Saussurea schlagintweiti,"张挺, 刘成, 亚吉东",18CS17755,20180918,西藏,4826,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487378.jpg,,,,,,,,,, +,Saussurea schlagintweiti,H. A. R. v. Schlagintweit,s.n.,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00011773.jpg,,,,,,,,,, +,Saussurea schlagintweitii,FLPH Tibet Expedition,12-0215,20120905,西藏自治区,4667,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113395.jpg,,,,,,,,,, +,Saussurea schlagintweitii,"张挺, 刘成, 亚吉东",18CS17755,20180918,西藏,4826,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487378.jpg,,,,,,,,,, +,Saussurea schlagintweitii,H. A. R. v. Schlagintweit,s.n.,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00011773.jpg,,,,,,,,,, +,Saussurea schultzii,,3606,19170922,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00037677.jpg,,,,,,,,,, +半抱茎风毛菊,Saussurea semiamplexicaulis,徐连升,sc1502,20150930,四川省,3063,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084488.jpg,,,,,,,,,, +半抱茎风毛菊,Saussurea semiamplexicaulis,陈又生,9673,20090830,云南省,3080,山谷草丛或石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052861.jpg,,,,,,,,,, +半抱茎风毛菊,Saussurea semiamplexicaulis,康藏植物考察队,10-2103,20100817,西藏自治区,3670,山谷高山栎灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052837.jpg,,,,,,,,,, +锯叶风毛菊,Saussurea semifasciata,陈又生,9533,20090822,四川省,4400,小溪边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909596.jpg,,,,,,,,,, +锯叶风毛菊,Saussurea semifasciata,不祥,608,19640810,青海省,4700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/003094.jpg,,,,,,,,,, +半琴叶风毛菊,Saussurea semilyrata,FLPH Sichuan Expedition,152773,20150911,四川省,3650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084715.jpg,,,,,,,,,, +半琴叶风毛菊,Saussurea semilyrata,Gaoligong Shan Biodiversity Survey,31676,20060830,云南省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772594.jpg,,,,,,,,,, +绢毛风毛菊,Saussurea sericea,PE西藏队,PE5413,20170830,西藏自治区,5067,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891108.jpg,,,,,,,,,, +绢毛风毛菊,Saussurea sericea,,13,19670904,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00392636.jpg,,,,,,,,,, +小果雪兔子,Saussurea simpsoniana,陈又生,13-2280,20130904,新疆维吾尔自治区,4800,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919992.jpg,,,,,,,,,, +小果雪兔子,Saussurea simpsoniana,陈又生,13-2279,20130904,,4800,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919933.jpg,,,,,,,,,, +小果雪兔子,Saussurea simpsoniana,青藏队,6584,19750806,西藏自治区,5750,彭错拉山口 岩屑坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454084.jpg,,,,,,,,,, +星状雪兔子,Saussurea stella,徐连升,150302,,甘肃省,,河边湿草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235054.jpg,,,,,,,,,, +星状雪兔子,Saussurea stella,FLPH Tibet Expedition,12-1212,20120913,西藏自治区,4445,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113428.jpg,,,,,,,,,, +星状雪兔子,Saussurea stella,徐连升,150408,20150903,青海省,4312,山坡稀疏银露梅,杜鹃灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084613.jpg,,,,,,,,,, +川藏风毛菊,Saussurea stoliczkae,"Y.S.Chen,Z.Y.Chang et al.",13-1305,20130816,西藏自治区,4400,荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111423.jpg,,,,,,,,,, +川藏风毛菊,Saussurea stoliczkae,D.E.Boufford et al.,36095,20060808,四川省,4500~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913084.jpg,,,,,,,,,, +喜林风毛菊,Saussurea stricta,尹志坚等,1304,20090715,云南省,,Roadsides,grassy slope,in the vicinity of the summit,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885411.jpg,,,,,,,,,, +喜林风毛菊,Saussurea stricta,,s.n.,19820826,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776979.jpg,,,,,,,,,, +喜林风毛菊,Saussurea stricta,"何铸,周子林",14032,19520000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716587.jpg,,,,,,,,,, +钻叶风毛菊,Saussurea subulata,郭柯,K-209,19900812,青海省,4600,山间谷地草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02099303.jpg,,,,,,,,,, +钻叶风毛菊,Saussurea subulata,"张经炜,傅国勋",1349,19601018,西藏自治区,4700,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01837008.jpg,,,,,,,,,, +钻叶风毛菊,Saussurea subulata,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454490.jpg,,,,,,,,,, +尖苞风毛菊,Saussurea subulisquama,"D.E.Boufford,K.Fujikawa,S.L.Kelley etc.",40456,20070824,四川省,3575,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102014.jpg,,,,,,,,,, +尖苞风毛菊,Saussurea subulisquama,"D.E.Boufford,Z.W.Ge & w.h.zHANG",42036,20090830,,410,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102015.jpg,,,,,,,,,, +,Saussurea sugongii,青藏队植被组,7553,19750801,西藏自治区,5500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00455244.jpg,,,,,,,,,, +,Saussurea sugongii,"郭柯,郑度",12438,19880815,新疆维吾尔自治区,5000,山坡 荒漠化草原 荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391499.jpg,,,,,,,,,, +,Saussurea sugongii,郭柯,K-163,19900730,青海省,5000,山坡(西坡),,有花无果,https://image.cvh.ac.cn/files/l/PE/00391428.jpg,,,,,,,,,, +,Saussurea superba,徐连升,150407,20150000,青海省,,山坡稀疏银露梅,杜鹃灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084629.jpg,,,,,,,,,, +,Saussurea superba,张中帅,443,20130919,甘肃省,3283,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016232.jpg,,,,,,,,,, +,Saussurea superba,朱大海等,4614,20070811,四川省,3100,路边 草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909856.jpg,,,,,,,,,, +,Saussurea sylvatica,FLPH Sichuan Expedition,152943,20150913,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084347.jpg,,,,,,,,,, +,Saussurea sylvatica,孙学刚等,2219,20000804,甘肃省,3000,山坡林下石崖,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798820.jpg,,,,,,,,,, +唐古特雪莲,Saussurea tangutica,"川西队,关克俭,王文采等",575,19630730,四川省,4100,沼泽草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087672.jpg,,,,,,,,,, +唐古特雪莲,Saussurea tangutica,贾慎修,s.n.,19510909,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454591.jpg,,,,,,,,,, +蒲公英叶风毛菊,Saussurea taraxacifolia,"Y.S.Chen. Z.Y.Chang,M.Deng et al.",13-1955,20130815,西藏自治区,4000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084770.jpg,,,,,,,,,, +蒲公英叶风毛菊,Saussurea taraxacifolia,F.Miyamoto etc.,9580394,19950823,,3900,on slopes in Rhododendron forests,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220031.jpg,,,,,,,,,, +蒲公英叶风毛菊,Saussurea taraxacifolia,T.N.Ho etc.,2133,19960820,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/761436.jpg,,,,,,,,,, +肉叶雪兔子,Saussurea thomsonii,徐连升,150388,20150902,青海省,4747,路边高山冻原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084240.jpg,,,,,,,,,, +肉叶雪兔子,Saussurea thomsonii,杨金祥,1893,19630629,西藏自治区,5050,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844876.jpg,,,,,,,,,, +草甸雪兔子,Saussurea thoroldii,徐连升,150362,20150830,青海省,3426,高山河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084407.jpg,,,,,,,,,, +草甸雪兔子,Saussurea thoroldii,徐连升,150300,20150825,甘肃省,2972,河边湿草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084405.jpg,,,,,,,,,, +西藏风毛菊,Saussurea tibetica,"T.N.Ho(HNWp),B.Bartholomew(CAS),M.Watson(E)and M.G",1572,19960810,青海省,4090,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454739.jpg,,,,,,,,,, +西藏风毛菊,Saussurea tibetica,K.S.Hao,1106,19300902,,4500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454735.jpg,,,,,,,,,, +三指雪兔子,Saussurea tridactyla,PE西藏考察队,8064,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333715.jpg,,,,,,,,,, +三指雪兔子,Saussurea tridactyla,周立华 孙立南,2150,19700919,青海省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0216257.jpg,,,,,,,,,, +丛株雪兔子,Saussurea tridactyla var. maiduoganla,西藏中草药普查队,658,19720628,西藏自治区,4600~4700,阳坡倒石堆,,有花有果,https://image.cvh.ac.cn/files/l/PE/00455345.jpg,,,,,,,,,, +,Saussurea tsoongii,徐连升,150450,20150000,青海省,,河边土坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084736.jpg,,,,,,,,,, +,Saussurea tsoongii,康藏植物考察队,10-1114,20100802,西藏自治区,3520,江边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052541.jpg,,,,,,,,,, +单花雪莲,Saussurea uniflora,"Y.S.Chen,Z.Y.Chang,M.Deng etc.",13-2047,20130824,西藏自治区,4000,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110961.jpg,,,,,,,,,, +,Saussurea uniflora,"张挺, 刘成, 亚吉东",18CS17760,20180919,西藏,4789,高山流石滩,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487394.jpg,,,,,,,,,, +单花雪莲,Saussurea uniflora,,A-g-032,1986.8.1,新疆维吾尔自治区 ,5000,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042926.jpg,,,,,,,,,, +硬叶乌苏里风毛菊,Saussurea ussuriensis,刘继孟,427,19571013,山东省,100,路旁草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110606.jpg,,,,,,,,,, +硬叶乌苏里风毛菊,Saussurea ussuriensis,"陈又生,袁慊,徐连升等",141230,20140803,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084550.jpg,,,,,,,,,, +硬叶乌苏里风毛菊,Saussurea ussuriensis,"袁谦,柯芮",9月15日,20150714,北京市,,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084549.jpg,,,,,,,,,, +,Saussurea variiloba,W.Y.Hsia,8527,19400908,甘肃省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068010.jpg,,,,,,,,,, +毡毛风毛菊,Saussurea velutina,FLPH Sichuan Expedition,153022,20150914,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084558.jpg,,,,,,,,,, +毡毛风毛菊,Saussurea velutina,徐连升,150194,20150809,湖北省,2607,岩石表面,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084236.jpg,,,,,,,,,, +绒背风毛菊,Saussurea vestita,秦仁昌,31007,19400828,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454930.jpg,,,,,,,,,, +绒背风毛菊,Saussurea vestita,彭定一,46168,19820818,四川省,0~2780,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628191.jpg,,,,,,,,,, +川滇风毛菊,Saussurea wardii,FLPH Tibet Expedition,12-1768,20120919,西藏自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113424.jpg,,,,,,,,,, +川滇风毛菊,Saussurea wardii,FLPH Sichuan Expedition,152520,20150909,四川省,3750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084538.jpg,,,,,,,,,, +羌塘雪兔子,Saussurea wellbyi,徐连升,150387,20150902,青海省,4747,路边高山冻屋,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084535.jpg,,,,,,,,,, +羌塘雪兔子,Saussurea wellbyi,郎楷永,10034,19760825,西藏自治区,5300~5500,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00454966.jpg,,,,,,,,,, +羌塘雪兔子,Saussurea wellbyi,"郭柯,郑度",12425,19880814,新疆维吾尔自治区,5050,河岸阶地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00454953.jpg,,,,,,,,,, +锥叶风毛菊,Saussurea wernerioides,PLPH Tibet expedition,12-1074,,西藏自治区,4832,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016376.jpg,,,,,,,,,, +锥叶风毛菊,Saussurea wernerioides,T.T.Yu,9716,19370822,云南省,4200,mt grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00454971.jpg,,,,,,,,,, +锥叶风毛菊,Saussurea wernerioides,Harry Smith,11271,19340820,四川省,4500~4700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00454968.jpg,,,,,,,,,, +垂头雪莲,Saussurea wettsteiniana,FLPH Sichuan Expedition,152297,20150000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084539.jpg,,,,,,,,,, +垂头雪莲,Saussurea wettsteiniana,G.Forrest,10722,19130800,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01845206.jpg,,,,,,,,,, +垂头雪莲,Saussurea wettsteiniana,青藏队补点组,751043,19750802,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00455000.jpg,,,,,,,,,, +牛耳风毛菊,Saussurea woodiana,FLPH Sichuan Expedition,152926,20150913,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084659.jpg,,,,,,,,,, +云南风毛菊,Saussurea yunnanensis,FLPH Sichuan Expedition,152181,20150000,四川省,,林缘草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084683.jpg,,,,,,,,,, +云南风毛菊,Saussurea yunnanensis,康藏植物考察队,10-1937,20100815,西藏自治区,4000,灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084682.jpg,,,,,,,,,, +云南风毛菊,Saussurea yunnanensis,康藏植物考察队,10-2583,20100822,云南省,3270,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084660.jpg,,,,,,,,,, +,Saussurea zayuensis,FLPH Tibet Expedition,12-1351,20120916,西藏自治区,4114,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053026.jpg,,,,,,,,,, +,Saussurea zogangensis,陈又生,9502,20090821,西藏自治区,5000,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052886.jpg,,,,,,,,,, +具梗虎耳草,Saxifraga afghanica,刘尚武,88,19650625,青海省,4500,阴坡石崖上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803875.jpg,,,,,,,,,, +短瓣虎耳草,Saxifraga andersonii,中日考察队,T685,19900619,西藏自治区,5300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862222.jpg,,,,,,,,,, +短瓣虎耳草,Saxifraga andersonii,gorz,,19210000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/117066273.jpg,,,,,,,,,, +黑虎耳草,Saxifraga atrata,西藏中草药普查队,3875,19720726,西藏自治区,4400,灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060366.jpg,,,,,,,,,, +黑虎耳草,Saxifraga atrata,中国科学院植物研究所青海队,1123,19580000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042223.jpg,,,,,,,,,, +黑虎耳草,Saxifraga atrata,伍典汉,6648,19760725,四川省,4700,高山石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862186.jpg,,,,,,,,,, +阿墩子虎耳草,Saxifraga atuntsiensis,Harry Smith,11747,19340822,四川省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814089.jpg,,,,,,,,,, +阿墩子虎耳草,Saxifraga atuntsiensis,张发起、迟晓峰、高庆波,chen2014542,20140915,青海省,4880,高山流石滩、高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008117.jpg,,,,,,,,,, +,Saxifraga atuntsiensis,"Kingdon-Ward, Frank",43,11-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00373295.jpg,,,,,,,,,, +白马山虎耳草,Saxifraga baimashanensis,青藏队,2362,19810713,云南省,4700,流石滩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896178.jpg,,,,,,,,,, +白马山虎耳草,Saxifraga baimashanensis,青藏队,2362,19810713,云南,4600-4700,流石滩上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1205243.jpg,,,,,,,,,, +马耳山虎耳草,Saxifraga balfourii,北京所横断山队,2223,19810729,云南省,4100,高山 草甸上部石上偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494800.jpg,,,,,,,,,, +马耳山虎耳草,Saxifraga balfourii,青藏队,13216,19830821,四川省,3500,岩石上高山栎灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862241.jpg,,,,,,,,,, +紫花虎耳草,Saxifraga bergenioides,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0371,20130805,西藏自治区,4600,山坡灌丛、草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993072.jpg,,,,,,,,,, +紫花虎耳草,Saxifraga bergenioides,吴玉虎,493,19780727,青海省,4360,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/112399.jpg,,,,,,,,,, +短叶虎耳草,Saxifraga brachyphylla,R.C.Ching,30704,19391008,云南省,,On open moist pasture.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862258.jpg,,,,,,,,,, +,Saxifraga brachyphylla,"Delavay, J.M.",760,1884-10-7,,,,,,https://image.cvh.ac.cn/files/l/P/P00735152.jpg,,,,,,,,,, +短柄虎耳草,Saxifraga brachypoda,PE西藏队,PE6124,20170907,西藏自治区,4474,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333500.jpg,,,,,,,,,, +短柄虎耳草,Saxifraga brachypoda,北京所横断山队,3490,19810823,云南省,4150~4500,高山 灌丛草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01494774.jpg,,,,,,,,,, +喜马拉雅虎耳草,Saxifraga brunonis,PE西藏考察队,7780,20180624,西藏自治区,3105,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333813.jpg,,,,,,,,,, +喜马拉雅虎耳草,Saxifraga brunonis,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487590.jpg,,,,,,,,,, +喜马拉雅虎耳草,Saxifraga brunonis,G.Forrest,16814,19180800,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862695.jpg,,,,,,,,,, +小泡虎耳草,Saxifraga bulleyana,秦仁昌,30973,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01666829.jpg,,,,,,,,,, +,Saxifraga bulleyana,"Forrest, George",6341,10-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00373360.jpg,,,,,,,,,, +灯架虎耳草,Saxifraga candelabrum,M.Iabbe Delavay,69,18880500,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01922458.jpg,,,,,,,,,, +灯架虎耳草,Saxifraga candelabrum,青藏队,1762,19810702,四川省,3550,"金沙江东岸山坡,黄栎林内",,无花无果,https://image.cvh.ac.cn/files/l/PE/00862308.jpg,,,,,,,,,, +心叶虎耳草,Saxifraga cardiophylla,青藏队,11081,19821008,西藏自治区,4000,山坡,高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862365.jpg,,,,,,,,,, +心叶虎耳草,Saxifraga cardiophylla,T.T.Yu,23180,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862356.jpg,,,,,,,,,, +,Saxifraga caveana,,s.n.,19821010,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01494601.jpg,,,,,,,,,, +零余虎耳草,Saxifraga cernua,"张新时,郭柯",天山-338,19860806,新疆维吾尔自治区,3420,石质平台 T-038,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080836.jpg,,,,,,,,,, +零余虎耳草,Saxifraga cernua,杨永昌,1120,19650709,青海省,4200,石峡下潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803907.jpg,,,,,,,,,, +零余虎耳草,Saxifraga cernua,陶德定,10754,19760803,西藏自治区,4600~4700,石山岩缝上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803908.jpg,,,,,,,,,, +雪地虎耳草,Saxifraga chionophila,G.Forrest,6037,19100000,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00862372.jpg,,,,,,,,,, +雪地虎耳草,Saxifraga chionophila,C.W. Wang,70777,1935/07/,云南省 ,2500,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0042607.jpg,,,,,,,,,, +雪地虎耳草,Saxifraga chionophila,C.W. Wang,65903,1935/08/,四川,3500,,form chusion,有花无果,https://image.cvh.ac.cn/files/l/WUK/0036379.jpg,,,,,,,,,, +拟黄花虎耳草,Saxifraga chrysanthoides,R.C.Ching,30458,19390803,云南省,4000,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862403.jpg,,,,,,,,,, +假黄花虎耳草,Saxifraga chrysanthoides,青藏队,5848,19810830,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/005862.jpg,,,,,,,,,, +毛瓣虎耳草,Saxifraga ciliatopetala,"张永田,郞楷永",2521,19650903,西藏自治区,5300,"山坡,草地上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862379.jpg,,,,,,,,,, +毛瓣虎耳草,Saxifraga ciliatopetala,T.T.Yu,9655,19370820,四川省,4100,Mt open slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00683985.jpg,,,,,,,,,, +毛瓣虎耳草,Saxifraga ciliatopetala,T.Tang,1401,19290000,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00683981.jpg,,,,,,,,,, +灰虎耳草,Saxifraga cinerascens,G.Forrest,15172,19170000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862383.jpg,,,,,,,,,, +灰虎耳草,Saxifraga cinerascens,何荻平,43340,19560507,四川省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00183557.jpg,,,,,,,,,, +,Saxifraga cinerascens,"Forrest, George",6628,10-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00373317.jpg,,,,,,,,,, +棒蕊虎耳草,Saxifraga clavistaminea,谢朝俊,22789,1955,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145740.jpg,,,,,,,,,, +棒蕊虎耳草,Saxifraga clavistaminea,C.W. Wang,63326,1935/05/,云南省 ,2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0066251.jpg,,,,,,,,,, +棒蕊虎耳草,Saxifraga clavistaminea,毛品一,896,19520520,云南省,2900,山谷,青苔石上,湿润,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00240788.jpg,,,,,,,,,, +截叶虎耳草,Saxifraga clivorum,青藏队植被组,3890,19750611,西藏自治区,4200~5000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00052192.jpg,,,,,,,,,, +棒腺虎耳草,Saxifraga consanguinea,PE西藏考察队,7040,20180608,西藏自治区,5050,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332459.jpg,,,,,,,,,, +棒腺虎耳草,Saxifraga consanguinea,刘尚武,228,19650726,青海省,4800,山坡草甸祼地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803905.jpg,,,,,,,,,, +棒腺虎耳草,Saxifraga consanguinea,H.Smith,3150,19220809,四川省,4900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863037.jpg,,,,,,,,,, +对叶虎耳草,Saxifraga contraria,,5849,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862396.jpg,,,,,,,,,, +对叶虎耳草,Saxifraga contraria,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20792,20200628,西藏,4879,高山流石滩,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1507779.jpg,,,,,,,,,, +稻城虎耳草,Saxifraga daochengensis,青藏队,4353,19810826,四川省,3600,"山坡,云杉林下岩石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00858017.jpg,,,,,,,,,, +稻城虎耳草,Saxifraga daochengensis,,199,19790806,四川,4000,阴山,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM706501717.jpg,,,,,,,,,, +双喙虎耳草,Saxifraga davidii,傅德志,87-0245,19870426,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00862408.jpg,,,,,,,,,, +双喙虎耳草,Saxifraga davidii,中苏队,2325,19550625,云南省,,湿地草中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00858022.jpg,,,,,,,,,, +矮生虎耳草,Saxifraga decussata,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191387,20190920,云南,3494,亚热带针阔混交林,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484591.jpg,,,,,,,,,, +,Saxifraga decussata,"Forrest, George",12640,14-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00346614.jpg,,,,,,,,,, +德钦虎耳草,Saxifraga deqenensis,PE西藏考察队,7571,20180621,西藏自治区,3796~4100,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333820.jpg,,,,,,,,,, +德钦虎耳草,Saxifraga deqenensis,青藏队,2359A,19810713,云南省,4800,西坡流石滩上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00858023.jpg,,,,,,,,,, +岩梅虎耳草,Saxifraga diapensia,生态室高原组,14747,19800902,西藏自治区,4300,高山 杂类草甸常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494616.jpg,,,,,,,,,, +岩梅虎耳草,Saxifraga diapensia,,14539,19170000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862421.jpg,,,,,,,,,, +川西虎耳草,Saxifraga dielsiana,T.T.Yu,19625,19380804,云南省,2450,Upon precipitous rock,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862501.jpg,,,,,,,,,, +川西虎耳草,Saxifraga dielsiana,Harry Smith,10579,19341107,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00339227.jpg,,,,,,,,,, +散痂虎耳草,Saxifraga diffusicallosa,青藏队,74-2469,19740914,西藏自治区,3900,山坡,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858028.jpg,,,,,,,,,, +散痂虎耳草,Saxifraga diffusicallosa,杨竞生,89-097,1989-10-,西藏省,4100,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145770.jpg,,,,,,,,,, +叉枝虎耳草,Saxifraga divaricata,"川西队,关克俭,王文采等",720,19630719,四川省,3600,山坡湿草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092238.jpg,,,,,,,,,, +叉枝虎耳草,Saxifraga divaricata,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191482,20190926,云南,4274,亚热带,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483349.jpg,,,,,,,,,, +异叶虎耳草,Saxifraga diversifolia,青藏队植被组,7817,19750914,西藏自治区,3600,阴坡,针阔混交林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060327.jpg,,,,,,,,,, +异叶虎耳草,Saxifraga diversifolia,尹志坚等,1923,20090910,云南省,3300,"Roadsides,Rhododendron forest margins",,有花无果,https://image.cvh.ac.cn/files/l/PE/01899003.jpg,,,,,,,,,, +异叶虎耳草,Saxifraga diversifolia,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869556.jpg,,,,,,,,,, +葶苈虎耳草,Saxifraga drabiformis,G.Forrest,16974,19180000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862506.jpg,,,,,,,,,, +,Saxifraga drabiformis,"Delavay, J.M.",,1886-8-14,,,,,,https://image.cvh.ac.cn/files/l/P/P00136572.jpg,,,,,,,,,, +长毛梗虎耳草,Saxifraga eglandulosa,青藏队补点组,751516,19750825,西藏自治区,4500,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858087.jpg,,,,,,,,,, +虎耳草属,Saxifraga eglandulosa,西藏生物所植物资源队,3528,19830809,西藏,4100,冷杉林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0002744.jpg,,,,,,,,,, +优越虎耳草,Saxifraga egregia var. egregia,邢睿、王久利、刘海瑞、高庆波,chen2014186,20140726,四川省,3720,溪边阴湿灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008640.jpg,,,,,,,,,, +优越虎耳草(原变种),Saxifraga egregia var. egregia,谢登峰、付筱,2027657,20190921,四川,4458,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02027657.jpg,,,,,,,,,, +小金虎耳草,Saxifraga egregia var. xiaojinensis,张秀实 任有铣,6562,19580813,四川省,4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00858085.jpg,,,,,,,,,, +,Saxifraga elliotii,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",12309,26-Mar-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00373347.jpg,,,,,,,,,, +光萼虎耳草,Saxifraga elliptica,西藏中草药普查队,4276,19720819,西藏自治区,4500,山顶草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858088.jpg,,,,,,,,,, +,Saxifraga elliptica,高信芬、涂卫国、何海、乔永康,6700,20030831,西藏,4800,高寒杜鹃灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189738.jpg,,,,,,,,,, +藏南虎耳草,Saxifraga engleriana,青藏队补点队,751552,19750825,西藏自治区,4500~4600,山顶草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858092.jpg,,,,,,,,,, +虎耳草属,Saxifraga engleriana,西藏生物所植物资源队,3390,19830727,西藏,4260,湖滨岩石上,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0002811.jpg,,,,,,,,,, +卵心叶虎耳草,Saxifraga epiphylla,青藏队,6575,19820519,云南省,2400,"山坡,落叶阔叶林下",,无花无果,https://image.cvh.ac.cn/files/l/PE/00862176.jpg,,,,,,,,,, +卵心叶虎耳草,Saxifraga epiphylla,资源县普查队,450329160812028LY,20160812,广西壮族自治区,2134,阔叶林,少见野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00404200.jpg,,,,,,,,,, +卵心叶虎耳草,Saxifraga epiphylla,吕惠珍、农东新、岑海锋,451031141028053LY,20141028,广西,1566,灌丛,草本,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0188795.jpg,,,,,,,,,, +猬状虎耳草,Saxifraga erinacea,青藏补点,751540,19750825,西藏自治区,4600,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/52510.jpg,,,,,,,,,, +线茎虎耳草,Saxifraga filicaulis,PE西藏队,PE5300,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309927.jpg,,,,,,,,,, +线茎虎耳草,Saxifraga filicaulis,"杨亲二,孔宏智",98-248,19980903,云南省,3300~3450,山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957444.jpg,,,,,,,,,, +线茎虎耳草,Saxifraga filicaulis,X.C.Zhang & L.Shi,959,19970917,四川省,,on open slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814108.jpg,,,,,,,,,, +区限虎耳草,Saxifraga finitima,ACE,1780,19941006,云南省,4200~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01794636.jpg,,,,,,,,,, +区限虎耳草,Saxifraga finitima,生态室高原组,14748,19800902,西藏自治区,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494625.jpg,,,,,,,,,, +区限虎耳草,Saxifraga finitima,四川省植被调查队,2935,19730708,四川省,4700,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863122.jpg,,,,,,,,,, +柔弱虎耳草,Saxifraga flaccida,青藏队植被组,5774,19750805,西藏自治区,5000,流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00052256.jpg,,,,,,,,,, +柔弱虎耳草,Saxifraga flaccida,J.F.ROCK,17163,19230800,云南省,0~4300,,,有花无果,https://image.cvh.ac.cn/files/l/N/117066215.jpg,,,,,,,,,, +,Saxifraga flagellaris,李渤生等,6059,19830727,西藏自治区,4500,?顶坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804410.jpg,,,,,,,,,, +,Saxifraga flagellaris,,s.n.,19490815,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01666886.jpg,,,,,,,,,, +曲茎虎耳草,Saxifraga flexilis,北京所横断山队,3668,19810824,云南省,4150~4400,高山灌丛草甸岩壁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494609.jpg,,,,,,,,,, +曲茎虎耳草,Saxifraga flexilis,青藏队,5563,19810829,四川省,4600,"山坡,岩石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862601.jpg,,,,,,,,,, +玉龙虎耳草,Saxifraga forrestii,G.Forrest,6575,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862594.jpg,,,,,,,,,, +,Saxifraga forrestii,"Forrest, George",6575,10-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00386304.jpg,,,,,,,,,, +,Saxifraga gatogombensis,北京所横断山队,3384,19810821,云南省,2900~3400,高山 栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494605.jpg,,,,,,,,,, +阴地虎耳草,Saxifraga gatogombensis,胡文光,何铸,10133,19510625,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00183412.jpg,,,,,,,,,, +芽生虎耳草,Saxifraga gemmipara,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",404,20020814,云南省,2550,山坡次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100134.jpg,,,,,,,,,, +芽生虎耳草,Saxifraga gemmipara,Delavay,461B,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01899420.jpg,,,,,,,,,, +芽生虎耳草,Saxifraga gemmipara,,12381,,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862632.jpg,,,,,,,,,, +,Saxifraga georgei,"Forrest, George",20472,21-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00346615.jpg,,,,,,,,,, +对生叶虎耳草,Saxifraga georgei,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20683,20200626,西藏,4616,流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509677.jpg,,,,,,,,,, +秦岭虎耳草,Saxifraga giraldiana,"Zhu, Chen, Xu,Wang",1998,19990910,陕西省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957431.jpg,,,,,,,,,, +秦岭虎耳草,Saxifraga giraldiana,"P.Licent S,J,",2839,19160906,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862633.jpg,,,,,,,,,, +秦岭虎耳草,Saxifraga giraldiana,G.Forrest,30837,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862634.jpg,,,,,,,,,, +光茎虎耳草,Saxifraga glabricaulis,史效武史效武,MLS-213,20090921,云南省,4787,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001458.jpg,,,,,,,,,, +冰雪虎耳草,Saxifraga glacialis,青藏队,5046,19810818,四川省,4700,"山坡,草地",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862627.jpg,,,,,,,,,, +冰雪虎耳草,Saxifraga glacialis,青海铁卜加牧草试验站,72-150,19720000,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862621.jpg,,,,,,,,,, +灰叶虎耳草,Saxifraga glaucophylla,北京所横断山队,2923,19810811,云南省,3600~3700,林内 石上常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494814.jpg,,,,,,,,,, +灰叶虎耳草,Saxifraga glaucophylla,生态室高原组,14780,19800902,西藏自治区,3400,冷杉林间草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494811.jpg,,,,,,,,,, +加拉虎耳草,Saxifraga gyalana,"倪志诚,汪永泽,次多,次旦",1119,19800815,西藏自治区,4200,"山坡,云冷杉林中,岩石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862640.jpg,,,,,,,,,, +,Saxifraga gyalana,"Kingdon-Ward, Frank",5963,20-Jan-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00393005.jpg,,,,,,,,,, +加拉虎耳草,Saxifraga gyalana,高庆波、李彦、贾留坤,Gao2018154,20180813,西藏,4134,路边阴坡石隙,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026858.jpg,,,,,,,,,, +六痂虎耳草,Saxifraga haplophylloides,"杨亲二,孔宏智",98-355,19980910,云南省,4100,山坡林下草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01957428.jpg,,,,,,,,,, +六痂虎耳草,Saxifraga haplophylloides,青藏队,751904,19750910,西藏自治区,3200~3600,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862641.jpg,,,,,,,,,, +六痂虎耳草,Saxifraga haplophylloides,J.M.Delavay,,18831019,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1208473.jpg,,,,,,,,,, +沼地虎耳草,Saxifraga heleonastes,H.Smith,1337,19220907,四川省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862647.jpg,,,,,,,,,, +沼地虎耳草,Saxifraga heleonastes,"胡文光,何铸",10831,19510814,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858380.jpg,,,,,,,,,, +半球虎耳草,Saxifraga hemisphaerica,,55,19640614,青海省,4700,山地高山砾石地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803873.jpg,,,,,,,,,, +半球虎耳草,Saxifraga hemisphaerica,青藏队植被组,9381,19760731,西藏自治区,5044,阴坡。,,有花无果,https://image.cvh.ac.cn/files/l/PE/00052191.jpg,,,,,,,,,, +,Saxifraga heterocladoides,李渤生等,1140,19821007,西藏自治区,3500~3850,高山草甸石隙,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804414.jpg,,,,,,,,,, +近异枝虎耳草,Saxifraga heterocladoides,T.T.Yu,13059,1937-08-,云南省,3900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145894.jpg,,,,,,,,,, +近异枝虎耳草,Saxifraga heterocladoides,T.Tang,1401,1929,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145895.jpg,,,,,,,,,, +唐古拉虎耳草,Saxifraga hirculoides,"Ho Tingnung,Bruce Bartholomew & Mike Gilbert",800,19930805,青海省,3980,Wet area with pool and hummock complex with nnial,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862890.jpg,,,,,,,,,, +唐古拉虎耳草,Saxifraga hirculoides,邢睿、刘海瑞、高庆波,chen2014484,20140828,西藏自治区,5110,溪边、高寒草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008949.jpg,,,,,,,,,, +山羊臭虎耳草(原变种),Saxifraga hirculus var. hirculus,亚吉东,张桥蓉,胡枭剑,17CS16223,20170624,新疆,3504,高山草地,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435619.jpg,,,,,,,,,, +齿叶虎耳草,Saxifraga hispidula,PE西藏队,PE5637,20170902,西藏自治区,4556,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309926.jpg,,,,,,,,,, +齿叶虎耳草,Saxifraga hispidula,"杨亲二,孔宏智",98-307,19990909,云南省,4100,山坡石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957440.jpg,,,,,,,,,, +近优越虎耳草,Saxifraga hookeri,青藏队植被组,9640,19760820,西藏自治区,3800,"山坡,草地",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862674.jpg,,,,,,,,,, +,Saxifraga hypericoides var. aurantiascens,"Forrest, George",6221A,10-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00053012.jpg,,,,,,,,,, +,Saxifraga hypericoides var. hypericoides,"Forrest, George",2757,,,,,,,https://image.cvh.ac.cn/files/l/E/E00053001.jpg,,,,,,,,,, +金丝桃虎耳草(原变种),Saxifraga hypericoides var. hypericoides,谢登峰、蔡竞、秦换换,CJ-003-A-048,20200917,四川,3450.11m,高山草甸,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02060884.jpg,,,,,,,,,, +,Saxifraga hypericoides var. rockii,"Rock, Joseph F.",16872,1928,,,,,,https://image.cvh.ac.cn/files/l/E/E00053017.jpg,,,,,,,,,, +贡山虎耳草,Saxifraga insolens,G.Forrest,18495,19190900,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863078.jpg,,,,,,,,,, +贡山虎耳草,Saxifraga insolens,H.T.Tsai,58008,19340818,云南省 ,4000,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00087076.jpg,,,,,,,,,, +贡山虎耳草,Saxifraga insolens,李红、白洪兵,533324180905714LY,20180905,云南,2605,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009134.jpg,,,,,,,,,, +林芝虎耳草,Saxifraga isophylla,PE西藏队,PE6863,20170917,西藏自治区,3971,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333534.jpg,,,,,,,,,, +林芝虎耳草,Saxifraga isophylla,邢睿、王久利、刘海瑞、高庆波,chen2014110,20140721,四川省,3620,溪畔灌丛下阴湿生境,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008954.jpg,,,,,,,,,, +隐茎虎耳草,Saxifraga jacquemontiana,"李渤生,程树志,倪志诚",5865,19830726,西藏自治区,,高山 冰碛砾石内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494038.jpg,,,,,,,,,, +隐茎虎耳草,Saxifraga jacquemontiana,韦玉乖,QNSY20182462,20180420,贵州省,467,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0029044.jpg,,,,,,,,,, +,Saxifraga kingdonii,"Kingdon-Ward, Frank",6195,20-Sep-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00438860.jpg,,,,,,,,,, +毛叶虎耳草,Saxifraga kingiana,"李渤生,李辉,阳艺",13730,19900912,西藏自治区,3300~3600,Abies林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487616.jpg,,,,,,,,,, +虎耳草属,Saxifraga kingiana,倪志诚 次多 次旦 廖世荣,1966,19810904,西藏,2200,林缘湿润处岩石上,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0002709.jpg,,,,,,,,,, +九窝虎耳草,Saxifraga kongboensis,"李渤生,程树志",1993,19821202,西藏自治区,2400,"山顶,岩石上时见",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862692.jpg,,,,,,,,,, +,Saxifraga kongboensis,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13631,7-May-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00373343.jpg,,,,,,,,,, +异条叶虎耳草,Saxifraga lepidostolonosa,青藏队补点组,751986,19750912,西藏自治区,4200,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858611.jpg,,,,,,,,,, +丽江虎耳草,Saxifraga likiangensis,T.Naito et al. ,288,19860426,四川省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800083.jpg,,,,,,,,,, +丽江虎耳草,Saxifraga likiangensis,T.T.Yu,11523,19370602,云南省,3000,Under forest of Rhododendron,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862701.jpg,,,,,,,,,, +丽江虎耳草,Saxifraga likiangensis,青藏队植被组,3645,19750602,西藏自治区,5000~5300,小洋马山阴地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858624.jpg,,,,,,,,,, +条叶虎耳草,Saxifraga linearifolia,D.E.Boufford et al.,32722,20050709,四川省,3800~4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898968.jpg,,,,,,,,,, +条叶虎耳草,Saxifraga linearifolia,北京所横断山队,2200,19810728,云南省,3900~4200,高山草甸上部及石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494683.jpg,,,,,,,,,, +理塘虎耳草,Saxifraga litangensis,罗建等,LuoJian-ML030,20090926,西藏自治区,4948,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898984.jpg,,,,,,,,,, +理塘虎耳草,Saxifraga litangensis,Favre & Matuszak,118,20110819,云南省 ,4485,rock crevices and alpine meadows,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1230171.jpg,,,,,,,,,, +近加拉虎耳草,Saxifraga llonakhensis,北京所横断山队,3668,19810824,云南省,4150~4400,"高山,灌丛,草甸,岩壁",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862712.jpg,,,,,,,,,, +近加拉虎耳草,Saxifraga llonakhensis,青藏队,10709,19820926,西藏自治区,4700,"山口,岩石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862710.jpg,,,,,,,,,, +,Saxifraga loripes,"Forrest, George",16814,18-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00373287.jpg,,,,,,,,,, +,Saxifraga ludlowii,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13968,22-Jun-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00373338.jpg,,,,,,,,,, +道孚虎耳草,Saxifraga lumpuensis,廉永善等,96718,19960818,甘肃省,3080,石山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01800821.jpg,,,,,,,,,, +道孚虎耳草,Saxifraga lumpuensis,生物所,9233,1975-07-,四川省,4160,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145951.jpg,,,,,,,,,, +燃灯虎耳草,Saxifraga lychnitis,杨竞生,91-735,19910731,西藏自治区,4600,拉山草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957445.jpg,,,,,,,,,, +燃灯虎耳草,Saxifraga lychnitis,青藏队植被组,12963,19760707,,4600,河谷积冰边缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00051944.jpg,,,,,,,,,, +假大柱头虎耳草,Saxifraga macrostigmatoides,"杨亲二,孔宏智",98-280,19980905,云南省,4300,山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957403.jpg,,,,,,,,,, +假大柱头虎耳草,Saxifraga macrostigmatoides,C.W. Wang,68920,1935/08/,云南省 ,3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0045300.jpg,,,,,,,,,, +红花黑蕊虎耳草,Saxifraga melanocentra var. rubiflora,青藏队,2703,19810713,云南省,4550,"高山,石灰岩,露头",,有花无果,https://image.cvh.ac.cn/files/l/PE/00858791.jpg,,,,,,,,,, +,Saxifraga melanocentra var. rubiflora,刘振书,1206,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00183517.jpg,,,,,,,,,, +岩耳巴,Saxifraga mengtzeana var. cordatifolia,胡琳贞,段佩琴,57-48,19570618,四川省,1350~1200,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00183578.jpg,,,,,,,,,, +,Saxifraga mengtzeana var. cordatifolia,"Henry, Augustine",10316,,,,,,,https://image.cvh.ac.cn/files/l/E/E00346613.jpg,,,,,,,,,, +小果虎耳草,Saxifraga microgyna,青藏队(横断山)综考队,3497,19810807,四川省,4450,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862804.jpg,,,,,,,,,, +小果虎耳草,Saxifraga microgyna,青藏队植被组,2149,19740730,西藏自治区,4880,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858816.jpg,,,,,,,,,, +小果虎耳草,Saxifraga microgyna,T.T.Yu,9142,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858812.jpg,,,,,,,,,, +,Saxifraga miralana,陈家辉,庄会富,边巴扎西,YangYP-Q-2136,20090820,西藏,4577,沼泽草甸,直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1238153.jpg,,,,,,,,,, +,Saxifraga miralana,"Ludlow, Frank: Sherriff, George & Taylor, George",6078,16-Aug-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00373337.jpg,,,,,,,,,, +四数花虎耳草,Saxifraga monantha,PE西藏队,PE5405,20170830,西藏自治区,5067,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333542.jpg,,,,,,,,,, +四数花虎耳草,Saxifraga monantha,H.Smith,12009,19340910,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862822.jpg,,,,,,,,,, +四数花虎耳草,Saxifraga monantha,"T.N.Ho,B.Bartholomew,M.Watson and M.Gibert",1596,19960810,青海省,4090,Growing on tussocks in swampy areas.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862814.jpg,,,,,,,,,, +聂拉木虎耳草,Saxifraga moorcroftiana,青藏队,74-2713,19740920,西藏自治区,4400,"山坡,灌丛",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862872.jpg,,,,,,,,,, +聂拉木虎耳草,Saxifraga moorcroftiana,,4651,1914-08-,云南省,3550,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0146018.jpg,,,,,,,,,, +,Saxifraga moorcroftiana,张挺,李爱花等,08CS715,20080914,西藏,4355,公路边牧场,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238157.jpg,,,,,,,,,, +平脉腺虎耳草,Saxifraga nakaoides,青藏队补点组,951977,19750912,西藏自治区,4200,"高山,草甸",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862891.jpg,,,,,,,,,, +,Saxifraga nambulana,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13850,5-Jun-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00373336.jpg,,,,,,,,,, +矮生虎耳草,Saxifraga nana,青藏队,5131,19810822,四川省,4200,"高山,湖泊岸边",,有花无果,https://image.cvh.ac.cn/files/l/PE/00863081.jpg,,,,,,,,,, +矮生虎耳草,Saxifraga nana,不祥,200,19640701,青海省,4850,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/004018.jpg,,,,,,,,,, +矮生虎耳草,Saxifraga nana,何廷农,2157,19910714,甘肃省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/166319.jpg,,,,,,,,,, +朗县虎耳草,Saxifraga nangxianensis,青藏队补点队,751492,19750821,西藏自治区,4750,山顶草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859007.jpg,,,,,,,,,, +垂头虎耳草,Saxifraga nigroglandulifera,PE西藏队,PE5542,20170831,西藏自治区,4352,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309918.jpg,,,,,,,,,, +垂头虎耳草,Saxifraga nigroglandulifera,北京所横断山队,2127,19810728,云南省,3600~4200,高山 杂类草甸冷杉林下常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494076.jpg,,,,,,,,,, +黑腺虎耳草,Saxifraga nigroglandulosa,北京所横断山队,3638,19810829,云南省,4150~4400,高山 灌丛草甸及岩臂时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494826.jpg,,,,,,,,,, +黑腺虎耳草,Saxifraga nigroglandulosa,,4974,19580730,重庆市,4350,"高山,草地",,无花无果,https://image.cvh.ac.cn/files/l/PE/00862911.jpg,,,,,,,,,, +无斑虎耳草,Saxifraga omphalodifolia,G.Forrest,13144,19140800,云南省,4000,Open situations on the margins of pine forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862925.jpg,,,,,,,,,, +无斑虎耳草,Saxifraga omphalodifolia,T.T.Yu,7800,19370819,四川省,3400,Under woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862924.jpg,,,,,,,,,, +无斑虎耳草,Saxifraga omphalodifolia,青藏队植被组,3277,19740917,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00055696.jpg,,,,,,,,,, +多叶小花虎耳草,Saxifraga pallida f. foliosa,,,19630806,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/064941.jpg,,,,,,,,,, +多叶虎耳草,Saxifraga pallida f. foliosa,普格队,758,19790821,四川,3500,,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM706501928.jpg,,,,,,,,,, +豹纹虎耳草,Saxifraga pardanthina,T.T.Yu,14258,19370913,四川省,,丛林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862962.jpg,,,,,,,,,, +豹纹虎耳草,Saxifraga pardanthina,青藏队,76-8307,19760726,西藏自治区,5100,沟边草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859230.jpg,,,,,,,,,, +豹纹虎耳草,Saxifraga pardanthina,林业部林型组,s.n,19550000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00859226.jpg,,,,,,,,,, +巴格虎耳草,Saxifraga parkaensis,青藏队植被组,13330,19760718,西藏自治区,5200,高山草甸。,,有花无果,https://image.cvh.ac.cn/files/l/PE/00052200.jpg,,,,,,,,,, +巴格虎耳草,Saxifraga parkaensis,吴玉虎,1101,19800727,青海省,4620,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/112415.jpg,,,,,,,,,, +隐痂虎耳草,Saxifraga parnassiifolia var. obscuricallosa,青藏队,73-1066,19730813,西藏自治区,4000,"山坡,Abise 林缘",草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00859234.jpg,,,,,,,,,, +,Saxifraga parva,"李渤生,程树志,倪志诚",5949,19830727,西藏自治区,4300,高山 灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494299.jpg,,,,,,,,,, +,Saxifraga parva,陈世龙,张得钧,高庆波,张发起,ChenSL0072,20080724,青海,4400,高寒草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238173.jpg,,,,,,,,,, +,Saxifraga parva,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0334,20080722,西藏,5116,流石滩,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1301150.jpg,,,,,,,,,, +微虎耳草,Saxifraga parvula,北京所横断山队,3659,19810824,云南省,4150~4400,高山灌丛草甸岩壁上常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01494315.jpg,,,,,,,,,, +微虎耳草,Saxifraga parvula,"张挺, 郭永杰, 吴之坤, 姜虹, 李贵能",16CS12622,20160818,四川,3349,岩石上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452043.jpg,,,,,,,,,, +透明虎耳草,Saxifraga pellucida,王启无,70294,19350900,云南省,2700,Grassy slope,Herbs,有花无果,https://image.cvh.ac.cn/files/l/PE/00859238.jpg,,,,,,,,,, +洱源虎耳草,Saxifraga peplidifolia,北京所横断山队,02095B,19810728,云南省,4000~4250,高山草甸上部及高山岩隙中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494333.jpg,,,,,,,,,, +洱源虎耳草,Saxifraga peplidifolia,中国科学院植物研究所,13828,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862972.jpg,,,,,,,,,, +,Saxifraga peraristulata,"Rock, Joseph F.",16817A,28-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00053022.jpg,,,,,,,,,, +,Saxifraga petrophila var. likiangensis,"Forrest, George",6715,10-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00373357.jpg,,,,,,,,,, +草地虎耳草,Saxifraga pratensis,G.Forrest,11208,19130000,云南省,3333~3666,Open stony pasture on the mountains,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863241.jpg,,,,,,,,,, +草地虎耳草,Saxifraga pratensis,青藏队,5034,19810818,四川省,4800,"山坡,灌丛,草地",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862992.jpg,,,,,,,,,, +,Saxifraga pratensis,陆露,Peter W Fritsch,张永彪,张明英,陈小涛,WH-2013-291,20130924,云南,4174,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321151.jpg,,,,,,,,,, +毛茎虎耳草,Saxifraga prattii,杨永昌,1250,19650721,青海省,5200,流石滩潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803870.jpg,,,,,,,,,, +康定虎耳草,Saxifraga prattii,H.Smith,11751,19340822,四川省,4500~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862995.jpg,,,,,,,,,, +毛茎虎耳草,Saxifraga prattii,青藏科考队,12390,19760718,西藏自治区,4200,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859244.jpg,,,,,,,,,, +青藏虎耳草,Saxifraga przewalskii,刘尚武,162,19650705,青海省,4700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060295.jpg,,,,,,,,,, +青藏虎耳草,Saxifraga przewalskii,"郎楷永,李良千,费勇",1677,19830613,四川省,3200,"山坡,林下",,有花无果,https://image.cvh.ac.cn/files/l/PE/00863421.jpg,,,,,,,,,, +狭瓣虎耳草,Saxifraga pseudohirculus,"汤宗孝,田效文,孙庆国",803,19820824,四川省,4500,高山灌丛草场 缓坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957494.jpg,,,,,,,,,, +狭瓣虎耳草,Saxifraga pseudohirculus,"Zhu, Chen, Xu,Wang",1999,19990910,陕西省,3200,Subalpine Meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957397.jpg,,,,,,,,,, +狭瓣虎耳草,Saxifraga pseudohirculus,洪德元等,H97155,19970812,青海省,3500,Alpine thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957465.jpg,,,,,,,,,, +美丽虎耳草,Saxifraga pulchra,C.H.Chen et al.,4304,20020815,台湾省,2000~2100,Forest margin,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898897.jpg,,,,,,,,,, +美丽虎耳草,Saxifraga pulchra,北京所横断山队,2260,19810729,云南省,4100,"高山,草甸上部及岩石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00863018.jpg,,,,,,,,,, +美丽虎耳草,Saxifraga pulchra,青藏队,5520,19810829,四川省,4400,"山坡,岩石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00863013.jpg,,,,,,,,,, +垫状虎耳草,Saxifraga pulvinaria,PE西藏考察队,7219,20180612,西藏自治区,4550,路边砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333819.jpg,,,,,,,,,, +垫状虎耳草,Saxifraga pulvinaria,"郑度,郭柯",12107,19880701,新疆维吾尔自治区,3300~3900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352583.jpg,,,,,,,,,, +垫状虎耳草,Saxifraga pulvinaria,G.Forrest,16281,19190600,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863058.jpg,,,,,,,,,, +拟小斑虎耳草,Saxifraga punctulatoides,"吴征镒,陈书坤,杜庆,庐树林",75-1127,19750720,西藏自治区,5020,石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859338.jpg,,,,,,,,,, +日照山虎耳草,Saxifraga rizhaoshanensis,青藏队,3496,19810807,四川省,4450,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896200.jpg,,,,,,,,,, +圆瓣虎耳草,Saxifraga rotundipetala,,76-345,19760717,西藏自治区,3900,冰川侧碛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458446.jpg,,,,,,,,,, +红毛虎耳草,Saxifraga rufescens,"张树仁,陈淑荣,朗校安等",1876,20140613,四川省,1400~1600,山坡 林下 沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021415.jpg,,,,,,,,,, +红毛虎耳草,Saxifraga rufescens,杨亲二,9408,19940819,云南省,3200,石壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957449.jpg,,,,,,,,,, +漆姑虎耳草,Saxifraga saginoides,PE西藏队,PE5427,20170830,西藏自治区,5067,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333517.jpg,,,,,,,,,, +漆姑虎耳草,Saxifraga saginoides,刘照光,22937,1980-08-,四川省,4800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0146100.jpg,,,,,,,,,, +红虎耳草,Saxifraga sanguinea,PE西藏考察队,8024,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333814.jpg,,,,,,,,,, +红虎耳草,Saxifraga sanguinea,"郎楷永,李良千,费勇",723,19820729,四川省,4350,"姊妹山顶高山,草甸",,有花无果,https://image.cvh.ac.cn/files/l/PE/00863128.jpg,,,,,,,,,, +红虎耳草,Saxifraga sanguinea,西藏队,1743,19610902,,4100,北坝草欠寺途中。,,有花无果,https://image.cvh.ac.cn/files/l/PE/00052215.jpg,,,,,,,,,, +岩生虎耳草,Saxifraga saxicola,张卢水、陈春林、李家亮,SUZLS02157,20180514,四川,2087,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1559767.jpg,,,,,,,,,, +景天虎耳草,Saxifraga sediformis,青藏队,4803,19810813,四川省,3600~3700,石灰岩山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863131.jpg,,,,,,,,,, +景天虎耳草,Saxifraga sediformis,青藏队,73-1187,19730821,西藏自治区,3900,"山坡,流石滩,岩石滩",,有花无果,https://image.cvh.ac.cn/files/l/PE/00859524.jpg,,,,,,,,,, +景天虎耳草,Saxifraga sediformis,T.T.Yu,12461,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859522.jpg,,,,,,,,,, +加查虎耳草,Saxifraga sessiliflora,中日考察队,T661,19900618,西藏自治区,5300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863132.jpg,,,,,,,,,, +球茎虎耳草,Saxifraga sibirica,PE西藏考察队,7653,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333823.jpg,,,,,,,,,, +球茎虎耳草,Saxifraga sibirica,"张新时,郭柯",天山-106,19860730,新疆维吾尔自治区,3300,高山冰碛丘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080817.jpg,,,,,,,,,, +球茎虎耳草,Saxifraga sibirica,段长虹,Dch0430,20140725,山西省,2881,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034006.jpg,,,,,,,,,, +西南虎耳草,Saxifraga signata,T.T.Yu,9367,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863168.jpg,,,,,,,,,, +西南虎耳草,Saxifraga signata,T.T.Yu,7761,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863154.jpg,,,,,,,,,, +藏中虎耳草,Saxifraga signatella,苏大学,1-003,19850804,西藏自治区,4300,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863169.jpg,,,,,,,,,, +,Saxifraga signatella,李晖,文雪梅,次旺加布,边巴,Lihui-Q-0116,20080918,西藏,4673,高山灌丛草原岩石坡地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238199.jpg,,,,,,,,,, +山地虎耳草,Saxifraga sinomontana var. amabilis,陈世龙,chen03171,20031008,云南省,4320,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00009196.jpg,,,,,,,,,, +可观山地虎耳草,Saxifraga sinomontana var. amabilis,鞠文彬,杨焰,THP-KD-5254,20170804,四川,4090,草地灌丛,多年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255400.jpg,,,,,,,,,, +金星虎耳草,Saxifraga stella-aurea,程树志等 ,713,19820905,西藏自治区,4100~4300,高山灌丛草甸石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804435.jpg,,,,,,,,,, +金星虎耳草,Saxifraga stella-aurea,白龙江考察队,510,19980721,甘肃省,3100,山地 山坡 密林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556061.jpg,,,,,,,,,, +繁缕虎耳草,Saxifraga stellariifolia,"李良千,王忠涛,杜玉芬,卫然",303,20110915,甘肃省,3400,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01914160.jpg,,,,,,,,,, +繁缕虎耳草,Saxifraga stellariifolia,58年秦岭队,10242,19580628,陕西省,2390,半阳处 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01387963.jpg,,,,,,,,,, +繁缕虎耳草,Saxifraga stellariifolia,Feng,2155,19390823,云南省,,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863203.jpg,,,,,,,,,, +大花虎耳草,Saxifraga stenophylla,H.Smith,11752,19340822,四川省,4500~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863206.jpg,,,,,,,,,, +大花虎耳草,Saxifraga stenophylla,"倪志诚,汪永泽,次多,次旦",1206,19800817,西藏自治区,4600,高山灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859693.jpg,,,,,,,,,, +大花虎耳草,Saxifraga stenophylla,T.T.Yu,12655,19370806,云南省,3700,Grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859690.jpg,,,,,,,,,, +虎耳草,Saxifraga stolonifera,"朱大海,王炳锋,苏小镔,王永",272,20020429,四川省,1180,山谷沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114926.jpg,,,,,,,,,, +虎耳草,Saxifraga stolonifera,川黔队,405,19560601,重庆市,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083186.jpg,,,,,,,,,, +伏毛虎耳草,Saxifraga strigosa,"杨亲二,孔宏智",98-250,19980903,云南省,3350,山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957505.jpg,,,,,,,,,, +伏毛虎耳草,Saxifraga strigosa,"李渤生,李辉,阳艺",13682,19900911,西藏自治区,3100~3300,Quercus 林下石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487640.jpg,,,,,,,,,, +近等叶虎耳草,Saxifraga subaequifoliata,"杨亲二,孔宏智",98-189,19980829,云南省,3400,草坡石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957422.jpg,,,,,,,,,, +近等叶虎耳草,Saxifraga subaequifoliata,李渤生等,634,19820905,西藏自治区,3500~3900,冷杉林缘灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804416.jpg,,,,,,,,,, +近抱茎虎耳草,Saxifraga subamplexicaulis,G.Forrest,2965,19060000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863243.jpg,,,,,,,,,, +,Saxifraga subamplexicaulis,"Forrest, George",2965,6-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00373367.jpg,,,,,,,,,, +川西南虎耳草,Saxifraga subomphalodifolia,青藏队,5463,19810828,四川省,4200,"山坡,落叶林,松林下",草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00859694.jpg,,,,,,,,,, +单窝虎耳草,Saxifraga subsessiliflora,青藏队补点队,751529,19750825,西藏自治区,4500~4600,山顶草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/00859697.jpg,,,,,,,,,, +单窝虎耳草,Saxifraga subsessiliflora,青藏队 吴玉虎,870397,19870703,新疆维吾尔自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/144165.jpg,,,,,,,,,, +疏叶虎耳草,Saxifraga substrigosa,PE西藏队,PE5827,20170903,西藏自治区,3401,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333561.jpg,,,,,,,,,, +,Saxifraga substrigosa,罗建,汪书丽,LiuJQ-08XZ-206,20080805,西藏,3513,路边林缘草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238230.jpg,,,,,,,,,, +,Saxifraga subternata,"Ludlow, Frank: Sherriff, George & Taylor, George",4593,1-Jun-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00373335.jpg,,,,,,,,,, +唐古特虎耳草(原变种),Saxifraga tangutica var. tangutica,张挺,刘成,马梁梁,付小刚,20CS19562,20200709,四川,4362,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1504964.jpg,,,,,,,,,, +秃茎虎耳草,Saxifraga tentaculata,魏来,郝加琛,15312,20150727,西藏自治区,5200,流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0030403.jpg,,,,,,,,,, +西藏虎耳草,Saxifraga tibetica,T.N.Ho(HNWP)et al.,2208,19960821,青海省,4650,"Periglacial scree slopes,lower parts stabilized with thin layer of truf forming an alpine meadow",,无花无果,https://image.cvh.ac.cn/files/l/PE/01839893.jpg,,,,,,,,,, +西藏虎耳草,Saxifraga tibetica,郑度,12618,19880819,新疆维吾尔自治区,4700,河滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352593.jpg,,,,,,,,,, +米林虎耳草,Saxifraga tigrina,,4046,19720717,西藏自治区,3500~3600,"山坡,水边沟",,有花无果,https://image.cvh.ac.cn/files/l/PE/00863300.jpg,,,,,,,,,, +,Saxifraga tigrina,罗建,汪书丽,王国严,LiuJQ-09XZ-354,20091010,西藏,3938,林缘灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238256.jpg,,,,,,,,,, +流苏虎耳草,Saxifraga wallichiana,PE西藏队,PE5276,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333492.jpg,,,,,,,,,, +流苏虎耳草,Saxifraga wallichiana,"杨亲二,孔宏智",98-249,19980903,云南省,3400~3450,山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957443.jpg,,,,,,,,,, +腺瓣虎耳草,Saxifraga wardii var. wardii,邢睿、刘海瑞、高庆波,chen2014313,20140816,西藏自治区,4540,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008943.jpg,,,,,,,,,, +汶川虎耳草,Saxifraga wenchuanensis,郎楷永 李良千 费勇,1140,19830818,四川省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896205.jpg,,,,,,,,,, +雅鲁藏布虎耳草,Saxifraga yaluzangbuensis,,4440,19720821,西藏自治区,4700,"高山,草甸",,有花无果,https://image.cvh.ac.cn/files/l/PE/00860510.jpg,,,,,,,,,, +叶枝虎耳草,Saxifraga yezhiensis,王启无/C.W.Wang,68336,19350800,云南省,3600,Mountain slope,Herbs,有花无果,https://image.cvh.ac.cn/files/l/PE/00860511.jpg,,,,,,,,,, +,Saxifraga yezhiensis,陈世龙,张得钧,高庆波等,ChenSL0317,20080804,青海,4470,高山草甸,藤本,,https://image.cvh.ac.cn/files/l/KUN/1238271.jpg,,,,,,,,,, +玉树虎耳草,Saxifraga yushuensis,,493,19640809,青海省,4350,半阳坡滑塌后碎石地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803910.jpg,,,,,,,,,, +玉树虎耳草,Saxifraga yushuensis,高庆波,Gao2018121,20180730,青海,4740,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026815.jpg,,,,,,,,,, +察隅虎耳草,Saxifraga zayuensis,青藏队,10130A,19820908,西藏自治区,3800,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896051.jpg,,,,,,,,,, +窄瓣察隅虎耳草,Saxifraga zayuensis,Expes. Hengduanshan. Inst. Bot.,3783,19810825,云南省,3800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01896037.jpg,,,,,,,,,, +泽库虎耳草,Saxifraga zekoensis,不祥,2017,19670809,青海省,3000,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/18913.jpg,,,,,,,,,, +治多虎耳草,Saxifraga zhidoensis,罗达尚、左振常,800211,1980-06-,青海省,4800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0146371.jpg,,,,,,,,,, +黄盆花,Scabiosa ochroleuca,"陈又生,袁慊",141467,20140812,新疆维吾尔自治区,1840,干草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037273.jpg,,,,,,,,,, +黄盆花,Scabiosa ochroleuca,,s.n.,19600727,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917684.jpg,,,,,,,,,, +中华鹅掌柴,Schefflera chinensis,D.A.P.,42761,19950125,云南省,2000~2150,subtropical evergreen forest on a north slope of a deep east facing valley with a periodical stream near (mainly below)the forest station,,无花无果,https://image.cvh.ac.cn/files/l/PE/00942633.jpg,,,,,,,,,, +中华鹅掌柴,Schefflera chinensis,中苏联合云南考察团,1780,19581125,云南省 ,0,,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0448653.jpg,,,,,,,,,, +,Schefflera elliptica,王洪,4696,20000404,云南省,1600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01584519.jpg,,,,,,,,,, +,Schefflera elliptica,,322,19730703,西藏自治区,1600,常绿阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00942943.jpg,,,,,,,,,, +,Schefflera glabrescens,植物研究所昆明工作站,8247,19600417,云南省,2700,高山杜鹃林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00942957.jpg,,,,,,,,,, +,Schefflera heptaphylla,华南队,1620,19890916,广西壮族自治区,400,山坡,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991669.jpg,,,,,,,,,, +,Schefflera heptaphylla,J.Wen,9409,20061104,台湾省,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579280.jpg,,,,,,,,,, +,Schefflera heptaphylla,"J.Murata,T.Yahara and H.T.Im",15854,19831024,,20~40,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01575944.jpg,,,,,,,,,, +红河鹅掌柴,Schefflera hoi,青藏队,245,19730721,西藏自治区,2050,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01575994.jpg,,,,,,,,,, +红河鹅掌柴,Schefflera hoi,H.T.Tsai,54075,19330825,云南省,2800,in ravine,,无花有果,https://image.cvh.ac.cn/files/l/PE/01575990.jpg,,,,,,,,,, +扁盘鹅掌柴,Schefflera khasiana,"程树志,倪志诚,李渤生",4842,19830510,西藏自治区,1650,常绿阔叶林下时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01584029.jpg,,,,,,,,,, +扁盘鹅掌柴,Schefflera khasiana,姜恕等,8676,19600514,云南省,1800,山坡阳处灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01584021.jpg,,,,,,,,,, +,Schefflera leucantha,张超良,67088,19750130,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991680.jpg,,,,,,,,,, +,Schefflera leucantha,中国科学植物研究所昆明工作站,5467,19550324,云南省,1000~900,河旁润湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/01584042.jpg,,,,,,,,,, +星毛鸭脚木,Schefflera minutistellata,北京队,894476,19890524,广西壮族自治区,610,公路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01991725.jpg,,,,,,,,,, +星毛鸭脚木,Schefflera minutistellata,王封才,552,20041120,贵州省,650,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01584470.jpg,,,,,,,,,, +星毛鸭脚木,Schefflera minutistellata,B.Barhtolomew et D.E.Boufford,3852,19860330,,900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01584106.jpg,,,,,,,,,, +多脉鹅掌柴,Schefflera multinervia,H.T.Tsai,58437,19340909,云南省,3200,in forest,tree,有花无果,https://image.cvh.ac.cn/files/l/PE/00025836.jpg,,,,,,,,,, +多脉鹅掌柴,Schefflera multinervia,H.T.Tsai,58437,1934.9.9.,云南,3200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0002361.jpg,,,,,,,,,, +多脉鹅掌柴,Schefflera multinervia,,54089,,,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00206159.jpg,,,,,,,,,, +,Schefflera rhododendrifolia,青藏队,806,19730718,西藏自治区,2800,山坡铁杉杜鹃林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01584138.jpg,,,,,,,,,, +西藏鹅掌柴,Schefflera wardii,西藏综考队,1799,19611025,西藏自治区,2060,南坡公路边杂木灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01584172.jpg,,,,,,,,,, +西藏鹅掌柴,Schefflera wardii,T.T.Yu,21034,19381121,云南省,2500,among dense forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01584164.jpg,,,,,,,,,, +洋沼草,Scheuchzeria palustris,青藏队植被组,12046,19760726,西藏自治区,4800,水边草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076463.jpg,,,,,,,,,, +洋沼草,Scheuchzeria palustris,Dr Van Haesendonck,43,18650100,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01950404.jpg,,,,,,,,,, +洋沼草,Scheuchzeria palustris,C. S. Chang et al.,SI1197,20100705,四川省,1493,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896560.jpg,,,,,,,,,, +银木荷,Schima argentea,青藏队,6741,19820522,云南省,2500,山坡阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02222139.jpg,,,,,,,,,, +银木荷,Schima argentea,武陵山考察队,700,19880608,贵州省,1200,林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/02222132.jpg,,,,,,,,,, +尖齿木荷,Schima khasiana,"周浙昆,费勇,税玉民等",75,19991018,云南省,2200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02222050.jpg,,,,,,,,,, +尖齿木荷,Schima khasiana,"李渤生,程树志",1053,19820924,西藏自治区,2300,常绿阔叶林下带常见乔木,,无花有果,https://image.cvh.ac.cn/files/l/PE/02222017.jpg,,,,,,,,,, +小花木荷,Schima parviflora,"李渤生,程树志",1309,19821014,西藏自治区,2300,常绿阔叶林中时见高大乔木,,无花有果,https://image.cvh.ac.cn/files/l/PE/02222014.jpg,,,,,,,,,, +小花木荷,Schima parviflora,PE-古蔺考察队,1086,20100909,四川省,1136~1165,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01864114.jpg,,,,,,,,,, +二色五味子,Schisandra bicolor,江西调查队,1092,19540908,江西省,1260,山坡阳处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01567939.jpg,,,,,,,,,, +二色五味子,Schisandra bicolor,W.C.Cheng,3656,19320701,浙江省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934033.jpg,,,,,,,,,, +二色五味子,Schisandra bicolor,,21,1959-04-,安徽省,1090,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0075498.jpg,,,,,,,,,, +大花五味子,Schisandra grandiflora,PE西藏考察队,7437,20180617,西藏自治区,2808,山坡、林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332519.jpg,,,,,,,,,, +大花五味子,Schisandra grandiflora,,21,19730607,陕西省,2000,山谷半阳,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231148.jpg,,,,,,,,,, +狭叶五味子,Schisandra lancifolia,"陈伟烈,陈家瑞,郭柯,闫建平",6131,19840610,四川省,1900,水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231132.jpg,,,,,,,,,, +狭叶五味子,Schisandra lancifolia,川滇黔接壤分队,192,19650504,云南省,2860,林林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859575.jpg,,,,,,,,,, +滇藏五味子,Schisandra neglecta,"唐宇丹,林秦文",2010-106,20100919,西藏自治区,3035,东西向沟谷南坡 潮湿 腐殖土生长,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036679.jpg,,,,,,,,,, +滇藏五味子,Schisandra neglecta,T.T.Yu,16148,19380605,云南省,2500,Upon thickets,Climbing shrub,有花无果,https://image.cvh.ac.cn/files/l/PE/00934023.jpg,,,,,,,,,, +合蕊五味子,Schisandra propinqua,戴天伦,107363,19581018,重庆市,1200,攀援于树上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231152.jpg,,,,,,,,,, +合蕊五味子,Schisandra propinqua,赵佐成,4257,19931021,四川省,2400,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231153.jpg,,,,,,,,,, +毛叶五味子,Schisandra pubescens,任再舍,1-2888,19880524,湖北省,1050,山坡 林下 路边 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01858474.jpg,,,,,,,,,, +毛叶五味子,Schisandra pubescens,毕节队,345,19590724,贵州省,1700,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01800393.jpg,,,,,,,,,, +红花五味子,Schisandra rubriflora,青藏队植被组,2301,19740806,西藏自治区,3040,西南坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02060193.jpg,,,,,,,,,, +红花五味子,Schisandra rubriflora,植物地理调查队,639,19780725,重庆市,2100,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01374813.jpg,,,,,,,,,, +红花五味子,Schisandra rubriflora,白水江考察队,562,20060628,甘肃省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01359605.jpg,,,,,,,,,, +球蕊五味子,Schisandra sphaerandra,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T343,20160920,西藏自治区,2159,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233357.jpg,,,,,,,,,, +球蕊五味子,Schisandra sphaerandra,"关克俭,王文采",2600,19630824,四川省,1550,山谷沟边灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092339.jpg,,,,,,,,,, +球蕊五味子,Schisandra sphaerandra,陇西山考察队,589,19910527,福建省,780,山坡 林下 沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01549036.jpg,,,,,,,,,, +华中五味子,Schisandra sphenanthera,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1095,20021110,云南省,2570,林(中)下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100098.jpg,,,,,,,,,, +华中五味子,Schisandra sphenanthera,"川西队,关克俭,王文采等",2035,19630828,四川省,2450,阴坡公路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092340.jpg,,,,,,,,,, +华中五味子,Schisandra sphenanthera,神农架队,22699,19760823,湖北省,1500,山林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086836.jpg,,,,,,,,,, +齿稃草,Schismus arabicus,Sino-Russian Altai Expedition,SRAE2004197,20040000,新疆维吾尔自治区,,Saline habitats and sanby desert around the lake,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766908.jpg,,,,,,,,,, +齿稃草,Schismus arabicus,T.N.Liou,5544,19321018,,548,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01677326.jpg,,,,,,,,,, +裂稃茅,Schizachne purpurascens subsp. callosa,姜菊香,20185507,20180424,贵州省,448,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0027057.jpg,,,,,,,,,, +,Schizachyrium delavayi,"H.Li,S.X.Yang,R.Li etc.",1124,20021111,云南省,2530,林(中)下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109582.jpg,,,,,,,,,, +,Schizachyrium delavayi,汤宗孝,1644,19880807,四川省,1500,山坡灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01681696.jpg,,,,,,,,,, +红裂稃草,Schizachyrium sanguineum,,东兴17草5,19731115,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017026.jpg,,,,,,,,,, +红裂稃草,Schizachyrium sanguineum,Richard R.Halse,7384,20070824,,548,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01816677.jpg,,,,,,,,,, +红裂稃草,Schizachyrium sanguineum,徐闻队,797,19541116,广东省,120,中型起伏平坡地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01582138.jpg,,,,,,,,,, +新裂瓜,Schizopepon bicirrhosus,,2188,19740819,西藏自治区,3400,竹冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010546.jpg,,,,,,,,,, +喙裂瓜,Schizopepon bomiensis,"李渤生,程树志",1458,19821013,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01671082.jpg,,,,,,,,,, +喙裂瓜,Schizopepon bomiensis,George Forrest,8332,19120600,云南省,2333,Amongst and on scrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/01179591.jpg,,,,,,,,,, +湖北裂瓜(原变种),Schizopepon dioicus var. dioicus,蔡杰,刘成,16CS11615,20160812,湖北,1402,水池旁,草质藤本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1439275.jpg,,,,,,,,,, +长柄裂瓜,Schizopepon longipes,关克俭等,199,19630722,四川省,3100,村内路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010532.jpg,,,,,,,,,, +长柄裂瓜,Schizopepon longipes,B.Bartholomew et al.,2774,19851008,,1260,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01619891.jpg,,,,,,,,,, +大花裂瓜,Schizopepon macranthus,T.T.Yu,16900,19380722,云南省,2300,upon thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01179686.jpg,,,,,,,,,, +大花裂瓜,Schizopepon macranthus,,7153,19150723,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0208454.jpg,,,,,,,,,, +西藏裂瓜,Schizopepon xizangensis,陈伟烈,14492,19800830,西藏自治区,2100,山坡草丛中,藤本草质,无花有果,https://image.cvh.ac.cn/files/l/PE/00032014.jpg,,,,,,,,,, +西藏裂瓜,Schizopepon xizangensis,金效华,李剑武,王喜龙,王程旺,19077,20171109,西藏,2003,半常绿阔叶林,藤本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030508.jpg,,,,,,,,,, +,Schizophragma integrifolium var. glaucescens,熊耀国,5695,19470820,广东省,,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00813555.jpg,,,,,,,,,, +,Schizophragma integrifolium var. glaucescens,"方文培,蒋光麟,熊济华",35306,19530820,四川省,2200,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00813426.jpg,,,,,,,,,, +,Schizophragma integrifolium var. glaucescens,李洪钧,1109,19570715,湖北省,,林下,树枝上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00813423.jpg,,,,,,,,,, +钻地风,Schizophragma integrifolium var. integrifolium,Wang et Chang et Chen,D-0397,19840822,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/GFS/GFS0003127.jpg,,,,,,,,,, +,Schoenoplectus juncoides,巴山采集队,5914,20120702,四川省,1200,沼泽中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059942.jpg,,,,,,,,,, +,Schoenoplectus juncoides,E.Hayasaka et al.,3598,20050930,,15,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01719183.jpg,,,,,,,,,, +,Schoenoplectus juncoides,Lei.C.I.,37,19320928,海南省,,"Abundant;submerged;level land,sandy,rice terrace",,有花有果,https://image.cvh.ac.cn/files/l/PE/01540432.jpg,,,,,,,,,, +,Schoenoplectus mucronatus,陈耀东等,2531,19890831,重庆市,1840,水中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01540519.jpg,,,,,,,,,, +,Schoenoplectus mucronatus,谢朝俊,42411,19550000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01540518.jpg,,,,,,,,,, +,Schoenoplectus tabernaemontani,D. E. Boufford et al.,36382,20060812,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01896629.jpg,,,,,,,,,, +,Schoenoplectus tabernaemontani,V.KRAJINA,s.n.,19240524,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01707992.jpg,,,,,,,,,, +,Schoenoplectus tabernaemontani,李安仁等,6176,19580726,新疆维吾尔自治区,,湖边低洼处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01540940.jpg,,,,,,,,,, +,Schoenoplectus triqueter,K.S.Hao,3532,19320624,河南省,,Yellow river,,有花有果,https://image.cvh.ac.cn/files/l/PE/01541425.jpg,,,,,,,,,, +,Schoenoplectus triqueter,,K7391,19510715,山东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01541404.jpg,,,,,,,,,, +,Schoenorchis gemmata,Xiaohua Jin,14861,20150120,云南省,,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233128.jpg,,,,,,,,,, +,Schoenorchis gemmata,HK kadoorie PT,3055,20020311,海南省,1300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02097582.jpg,,,,,,,,,, +香芙木,Schoepfia fragrans,李植芝,42,19630107,云南省,785,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02113877.jpg,,,,,,,,,, +香芙木,Schoepfia fragrans,"李渤生,程树志,倪志诚",3727,19830523,西藏自治区,1800,常绿阔叶林中偶见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00875215.jpg,,,,,,,,,, +青皮木,Schoepfia jasminodora,青藏队,881,19810610,云南省,1920,金沙江东岸山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02113865.jpg,,,,,,,,,, +青皮木,Schoepfia jasminodora,萧百中,4101,20050509,湖南省,470,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02113861.jpg,,,,,,,,,, +青皮木,Schoepfia jasminodora,曾飞燕等,356,19990508,广东省,400,山地,路旁,山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/02113860.jpg,,,,,,,,,, +羽状刚毛藨草,Scirpus litoralis,塔大植物调查组,TD-00890,20060826,新疆,1289,路旁沟渠,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1399159.jpg,,,,,,,,,, +海滨藨草,Scirpus litoralis,,?,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00054088.jpg,,,,,,,,,, +海滨藨草,Scirpus litoralis,,?,,,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20027266.jpg,,,,,,,,,, +庐山?草,Scirpus lushanensis,PE-古蔺考察队,1061,20100909,四川省,1578~1740,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01864724.jpg,,,,,,,,,, +庐山?草,Scirpus lushanensis,刘正宇,181360,20080928,重庆市,1150,山地溪边湿地中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01823236.jpg,,,,,,,,,, +庐山?草,Scirpus lushanensis,青藏队,736,19730716,西藏自治区,1580,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01550068.jpg,,,,,,,,,, +高山 草,Scirpus paniculato-corymbosus,Harry Smith,10172,19340626,四川省,2800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01550172.jpg,,,,,,,,,, +,Scirpus paniculato-corymbosus,邬文祥,8460,19880512,江苏省,,林下草地,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585275.jpg,,,,,,,,,, +高山藨草,Scirpus paniculato-corymbosus,张相宜、成瑞瑜、郭泳棂,SC-Z-00-06-005,20200922,四川,3599,高山灌丛,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02063945.jpg,,,,,,,,,, +百球 草,Scirpus rosthornii,巴山采集队,6260,20120708,四川省,554~610,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059941.jpg,,,,,,,,,, +百球 草,Scirpus rosthornii,林秦文,2013-014,20130527,云南省,1600~1750,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039370.jpg,,,,,,,,,, +百球 草,Scirpus rosthornii,北京队,890057,19890422,广西壮族自治区,900,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017239.jpg,,,,,,,,,, +,Scirpus trigueter,"陈耀东,王洪君,王新兵",17,20010605,天津市,,水沟中 浅水处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01595637.jpg,,,,,,,,,, +,Scirpus trigueter,,,19800808,山东省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00538358.jpg,,,,,,,,,, +,Scirpus trigueter,H.Migo,,19310802,上海市,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00538359.jpg,,,,,,,,,, +独龙珍珠茅,Scleria dulungensis,青藏队,9195,19820809,云南省,1300~1400,山坡 常绿阔叶林缘草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191278.jpg,,,,,,,,,, +黑鳞珍珠茅,Scleria hookeriana,北京队,890978,19890509,广西壮族自治区,500,山坡、林下、路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017248.jpg,,,,,,,,,, +黑鳞珍珠茅,Scleria hookeriana,刘正宇,180066,20070909,重庆市,400,溪边草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01823233.jpg,,,,,,,,,, +黑鳞珍珠茅,Scleria hookeriana,王印政等,4542,19981022,云南省,540,山地山坡疏林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01802224.jpg,,,,,,,,,, +,Scleria parvula,青藏队,9522,19820823,云南省,1600,河边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191280.jpg,,,,,,,,,, +,Scleria parvula,陈伟烈,14237,19800812,西藏自治区,1550,沼泽地上部,,有花无果,https://image.cvh.ac.cn/files/l/PE/00465467.jpg,,,,,,,,,, +,Scleria parvula,刘林翰,1007,19570828,湖南省,800,极端潮湿有浸水之沼池边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00465465.jpg,,,,,,,,,, +纤秆珍珠茅,Scleria pergracilis,"邓懋彬,袁春台,张根荛",3523,19561010,江苏省,180,山凹湿地,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00465383.jpg,,,,,,,,,, +纤秆珍珠茅,Scleria pergracilis,George Forrest,22555,19221000,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00028871.jpg,,,,,,,,,, +纤秆珍珠茅,Scleria pergracilis,P.Courtois,22069,19181002,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0693811.jpg,,,,,,,,,, +,Scleria terrestris,梁慧舟,2253,20010422,台湾省,400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855202.jpg,,,,,,,,,, +,Scleria terrestris,王印政等,4687,19981024,云南省,1550,山地山坡疏林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01802223.jpg,,,,,,,,,, +,Scleria terrestris,J.F.Maxwell ,95-623,19950909,,1325,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01722471.jpg,,,,,,,,,, +鸦葱,Scorzonera austriaca,段长虹,Dch0411,20140720,山西省,1127,农田地畔,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043092.jpg,,,,,,,,,, +鸦葱,Scorzonera austriaca,"B.Kybaee,T.Konaheba,T.Tlecnoba etc.",235-4,19720626,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042965.jpg,,,,,,,,,, +鸦葱,Scorzonera austriaca,石硕,SZ3569,20140716,河北省,1234,林下草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037437.jpg,,,,,,,,,, +蒙古鸦葱,Scorzonera mongolica,陈全胜,CF14-4298,20180705,内蒙古自治区,1180,河漫滩草甸,杂类草,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246069.jpg,,,,,,,,,, +蒙古鸦葱,Scorzonera mongolica,陈又生,13-2306,20130907,新疆维吾尔自治区,2856,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919942.jpg,,,,,,,,,, +蒙古鸦葱,Scorzonera mongolica,老铁山采集队,170,20080504,辽宁省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01894562.jpg,,,,,,,,,, +帕米尔鸦葱,Scorzonera pamirica,生物研究西藏考察队,3102,19740612,新疆维吾尔自治区,3370,山前 倾斜 平原,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00030660.jpg,,,,,,,,,, +光鸦葱,Scorzonera parviflora,W.L.Chen et al.,SRAE2005749,20050807,新疆维吾尔自治区,850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016277.jpg,,,,,,,,,, +光鸦葱,Scorzonera parviflora,靳淑英,50095,19650520,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00518383.jpg,,,,,,,,,, +细叶鸦葱,Scorzonera pusilla,Sino-Russian Altai Expedition,SRAE2004216,20040000,新疆维吾尔自治区,,Coloured clays,,有花无果,https://image.cvh.ac.cn/files/l/PE/01767034.jpg,,,,,,,,,, +细叶鸦葱,Scorzonera pusilla,原景海,891,56.07,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00043642.jpg,,,,,,,,,, +细穗玄参,Scrofella chinensis,Luo Yi-bo,654,20010816,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052734.jpg,,,,,,,,,, +细穗玄参,Scrofella chinensis,D.E.Boufford et al.,39317,20070809,青海省,3850~3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916102.jpg,,,,,,,,,, +细穗玄参,Scrofella chinensis,白龙江考察队,971,19980728,甘肃省,0,山地 山坡 灌丛 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560757.jpg,,,,,,,,,, +岩隙玄参,Scrophularia chasmophila,Harry Smith,3638,19220722,四川省,4100,ad radices ruprium,,无花有果,https://image.cvh.ac.cn/files/l/PE/01481277.jpg,,,,,,,,,, +岩隙玄参,Scrophularia chasmophila,王金亭,3422,19610617,西藏自治区,4600,阳坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01481276.jpg,,,,,,,,,, +岩隙玄参,Scrophularia chasmophila,R.C.Ching,30432,19390725,云南省,,On open stony pasture,,有花无果,https://image.cvh.ac.cn/files/l/PE/01456515.jpg,,,,,,,,,, +大花玄参,Scrophularia delavayi,王泽欢等,301,20110520,云南省,3750,path side,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885355.jpg,,,,,,,,,, +大花玄参,Scrophularia delavayi,George Forrest,24479,19240000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01456543.jpg,,,,,,,,,, +齿叶玄参,Scrophularia dentata,PE西藏考察队,7729,20180624,西藏自治区,3902,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332004.jpg,,,,,,,,,, +重齿玄参,Scrophularia diplodonta,北京所横断山队,897,19810629,云南省,3000,华山松林缘常见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01518400.jpg,,,,,,,,,, +重齿玄参,Scrophularia diplodonta,"刘杰, 罗亚皇, 刘基男, 谭少林",YMT2600-1-1062,20130723,云南,2730,华山松-云南松林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1446779.jpg,,,,,,,,,, +高玄参,Scrophularia elatior,"刘冰,孙英宝,徐晓婷等",966,20070816,云南省,2351,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042880.jpg,,,,,,,,,, +高玄参,Scrophularia elatior,青藏队补点队,751654,19750826,西藏自治区,2700,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01456617.jpg,,,,,,,,,, +长梗玄参,Scrophularia fargesii,白水江考察队,332,20060627,甘肃省,3148,林缘或林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612444.jpg,,,,,,,,,, +长梗玄参,Scrophularia fargesii,236-6队,2527,19760702,湖北省,1600,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01481283.jpg,,,,,,,,,, +长梗玄参,Scrophularia fargesii,戴天伦,101086,19580629,重庆市,2520,生于空旷的草坪中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01456623.jpg,,,,,,,,,, +高山玄参,Scrophularia hypsophila,T.T.Yu,20053,19370903,云南省,3000,mt.slop open & sandy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01456637.jpg,,,,,,,,,, +高山玄参,Scrophularia hypsophila,"张挺, 郭永杰",16CS13670,20160831,四川,4739,高山草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1454221.jpg,,,,,,,,,, +高山玄参,Scrophularia hypsophila,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191536,20190929,云南,4129,亚热带,高山流石滩,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1485818.jpg,,,,,,,,,, +砾玄参,Scrophularia incisa,青藏队植被组,8707,19760628,西藏自治区,3750,河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061427.jpg,,,,,,,,,, +砾玄参,Scrophularia incisa,"Hang Sun,Tao Deng,Sergey Volis etc.",17813,20140518,,1100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043257.jpg,,,,,,,,,, +砾玄参,Scrophularia incisa,泛喜马拉雅植物志巴基斯坦采集队,FPH-1318,20120908,新疆维吾尔自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004669.jpg,,,,,,,,,, +甘肃玄参,Scrophularia kansuensis,Harry Smith,3211,19220810,四川省,4300~4500,in declivitate terrosa,,有花无果,https://image.cvh.ac.cn/files/l/PE/01481285.jpg,,,,,,,,,, +甘肃玄参,Scrophularia kansuensis,P.Licent S.J.,5244,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01456710.jpg,,,,,,,,,, +,Scrophularia kansuensis,刘坤,LiuJQ-GN-2011-532,20110729,甘肃省,2963,田缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1384502.jpg,,,,,,,,,, +单齿玄参,Scrophularia mandarinorum,Delavay,s.n.,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01456757.jpg,,,,,,,,,, +单齿玄参,Scrophularia mandarinorum,L.Sh.et,6161,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01456755.jpg,,,,,,,,,, +单齿玄参,Scrophularia mandarinorum,"傅国勋,张经炜",1185,19600821,西藏自治区,3800,西北坡灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01456754.jpg,,,,,,,,,, +马边玄参,Scrophularia mapienensis,管中天,8813,19590622,四川省,3450,山坡上部1/3,,有花无果,https://image.cvh.ac.cn/files/l/PE/01456768.jpg,,,,,,,,,, +马边玄参,Scrophularia mapienensis,余奇、周晓雪、黎怀成,THP-KD-4612,20170718,四川,3483-3516,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0239982.jpg,,,,,,,,,, +轮花玄参,Scrophularia pauciflora,PE西藏考察队,7512,20180617,西藏自治区,3821,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332184.jpg,,,,,,,,,, +轮花玄参,Scrophularia pauciflora,"M. Tateno,K.Fujikawa,R. H. Ree & N. Thapa",9950038,19990810,,4150,wet open slopes,,无花有果,https://image.cvh.ac.cn/files/l/PE/02054721.jpg,,,,,,,,,, +,Scrophularia przewalskii,Ho Ting-nung et al.,957,19930809,青海省,4150,"Flat bottomed valley with moist alpine meadows on bottom,slopes with rocky outcrops and turf.Base of rocky slope",,有花无果,https://image.cvh.ac.cn/files/l/PE/01481319.jpg,,,,,,,,,, +小花玄参,Scrophularia souliei,Ho Ting-nung et al.,509,19930729,青海省,3820,"Alpine meadow with Ligularia vulgaris,very few woody plants,bare soil frequent",,有花无果,https://image.cvh.ac.cn/files/l/PE/01481320.jpg,,,,,,,,,, +小花玄参,Scrophularia souliei,K.T.Fu,1317,19370722,甘肃省,3700,on dry place of hill slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01457355.jpg,,,,,,,,,, +穗花玄参,Scrophularia spicata,T.T.Yu,12552,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01457365.jpg,,,,,,,,,, +穗花玄参,Scrophularia spicata,张挺,蔡杰,郭永杰,刘成,张桥蓉,11CS3108,20110815,云南,2676,路边溪谷杂木林中,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1384519.jpg,,,,,,,,,, +穗花玄参,Scrophularia spicata,武素功,2689,0,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/476934.jpg,,,,,,,,,, +云南玄参,Scrophularia yunnanensis,George Forrest,21568,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01457384.jpg,,,,,,,,,, +云南玄参,Scrophularia yunnanensis,"姜恕,应俊生等",3622,19600528,四川省,3700,路旁疏林下灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01457382.jpg,,,,,,,,,, +,Scurrula atropurpurea,刘恩德,1543,20060226,云南省,1940,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1204599.jpg,,,,,,,,,, +梨果寄生,Scurrula atropurpurea,"朱鑫鑫, 林庶, 胡梦杰",ZXX191140,20190908,云南,2375,亚热带针阔混交林,山坡灌丛中,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1485012.jpg,,,,,,,,,, +梨果寄生,Scurrula atropurpurea,张玲,2013003,20130301,,126,"路边杂木林,对叶榕上2-4m,高6m",寄生,有花无果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026580.jpg,,,,,,,,,, +滇藏梨果寄生,Scurrula buddleioides,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T241,20160916,西藏自治区,1100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233364.jpg,,,,,,,,,, +滇藏梨果寄生,Scurrula buddleioides,T.T.Yu,20423,19380925,云南省,1600,Upon branch of Lithocarpus,,无花有果,https://image.cvh.ac.cn/files/l/PE/00891553.jpg,,,,,,,,,, +高山寄生,Scurrula elata,"李渤生,程树志等",4404,19830429,西藏自治区,2300~2400,常绿阔叶林缘树上寄生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491290.jpg,,,,,,,,,, +高山寄生,Scurrula elata,青藏队,6738,19820522,云南省,2500,山坡 路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01062959.jpg,,,,,,,,,, +高山寄生,Scurrula elata,青藏队,11850,19830708,四川省,3100,山坡 杜鹃 高山栎林,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062763.jpg,,,,,,,,,, +红花寄生,Scurrula parasitica,林秦文,2013-131,20130530,云南省,1750~2100,峡谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044230.jpg,,,,,,,,,, +红花寄生,Scurrula parasitica,红水河植物考察队,1178,19890516,广西壮族自治区,700,清水江岸河谷杂林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01985659.jpg,,,,,,,,,, +红花寄生,Scurrula parasitica,王封才,447,20041015,贵州省,550,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602665.jpg,,,,,,,,,, +滇黄芩,Scutellaria amoena var. amoena,弥渡普查队,5329251141,20120720,云南省,2223,,草本,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0022438.jpg,,,,,,,,,, +子芩,Scutellaria amoena var. amoena,朱大海 张超 李小杰,20070488,20070517,四川省,1600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/019785.jpg,,,,,,,,,, +灰毛滇黄芩,Scutellaria amoena var. cinerea,林业部林型组,3340,19540500,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00697717.jpg,,,,,,,,,, +灰毛滇黄芩,Scutellaria amoena var. cinerea,王启无,63468,19350500,云南省,1300,Ravine side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00697572.jpg,,,,,,,,,, +灰毛滇黄芩,Scutellaria amoena var. cinerea,,12453,19380919,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00697558.jpg,,,,,,,,,, +半枝莲,Scutellaria barbata,"陈又生,袁慊,徐连升等",140581,20140720,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033967.jpg,,,,,,,,,, +半枝莲,Scutellaria barbata,俞德俊,s.n.,19700500,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01931166.jpg,,,,,,,,,, +半枝莲,Scutellaria barbata,Chen Zhiduan Feng Min Ma Xintang Wang Meilin,960012,19930512,重庆市,320,valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892103.jpg,,,,,,,,,, +中甸黄芩,Scutellaria chungtienensis,T.T.Yu,11885,19370702,云南省,3000,Grassyslope region,,有花无果,https://image.cvh.ac.cn/files/l/PE/00837138.jpg,,,,,,,,,, +中甸黄芩,Scutellaria chungtienensis,杨亲二,袁琼,YangQE1846,20080714,云南,3300,土坡草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390008.jpg,,,,,,,,,, +异色黄芩,Scutellaria discolor,张挺等,902,20100718,云南省,2318,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01942653.jpg,,,,,,,,,, +异色黄芩,Scutellaria discolor,"洪德元,马欣堂,王强",H12003,20120802,西藏自治区,1150,林缘草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908053.jpg,,,,,,,,,, +异色黄芩,Scutellaria discolor,何晔,2-351,20030827,贵州省,700,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01543631.jpg,,,,,,,,,, +灰岩黄芩,Scutellaria forrestii,Heinr Frh v. Handel Mazzetti,1188,19150610,云南省,3100~3400,rupesribus,,有花无果,https://image.cvh.ac.cn/files/l/PE/00837205.jpg,,,,,,,,,, +灰岩黄芩,Scutellaria forrestii,余岩、陈俊佩,2026491,20190821,西藏,3388,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02026491.jpg,,,,,,,,,, +灰岩黄芩,Scutellaria forrestii,余岩、陈俊佩,2026493,20190821,四川,3049,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02026493.jpg,,,,,,,,,, +连翘叶黄芩多毛变种,Scutellaria hypericifolia var. pilosa,K.L.Chu,7173,19400622,四川省,,on grass slope,erect perenial herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00031160.jpg,,,,,,,,,, +,Scutellaria hypericifolia var. pilosa,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-005-B19,20160729,四川,,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609767.jpg,,,,,,,,,, +乌恰黄芩,Scutellaria jodudiana,新疆采集队,1736,1978/7/28,新疆维吾尔族自治区,3020,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0336212.jpg,,,,,,,,,, +乌恰黄芩,Scutellaria jodudiana,,730068,73.07.25,新疆维吾尔自治区 ,3100,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00033235.jpg,,,,,,,,,, +乌恰黄芩,Scutellaria jodudiana,,730068,730725,,3100,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20002328.jpg,,,,,,,,,, +,Scutellaria kingiana,PE西藏考察队,7222,20180612,西藏自治区,4550,路边砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332583.jpg,,,,,,,,,, +丽江黄芩,Scutellaria likiangensis,D.E.Boufford et al.,35286,20060725,云南省,3750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579657.jpg,,,,,,,,,, +丽江黄芩,Scutellaria likiangensis,M.Iabbe Delavay,,18830714,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220626.jpg,,,,,,,,,, +长叶并头草,Scutellaria linarioides,王汉臣,1752,19420516,云南省,,半山,,有花无果,https://image.cvh.ac.cn/files/l/PE/00837555.jpg,,,,,,,,,, +长叶并头草,Scutellaria linarioides,管中天,8109,19590505,四川省,,沿岸山麓干旱禾草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00837554.jpg,,,,,,,,,, +长叶并头草,Scutellaria linarioides,王汉臣,1752,1942.3.,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005175.jpg,,,,,,,,,, +少齿黄芩,Scutellaria oligodonta,新疆采集队,2426,1978/8/16,新疆维吾尔族自治区,2700,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0337924.jpg,,,,,,,,,, +少齿黄芩,Scutellaria oligodonta,西植新疆队,1702,78.07.28,新疆维吾尔自治区 ,3020,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00033236.jpg,,,,,,,,,, +少齿黄芩,Scutellaria oligodonta,西植新疆队,1702,780728,,3020,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20002329.jpg,,,,,,,,,, +直萼黄芩,Scutellaria orthocalyx,陈全胜,CF13-4260,20180704,内蒙古自治区,1603,山地林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246992.jpg,,,,,,,,,, +直萼黄芩,Scutellaria orthocalyx,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",292,20020815,云南省,2550,山坡次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111122.jpg,,,,,,,,,, +直萼黄芩,Scutellaria orthocalyx,Handel Mazzctti,1785,19220515,四川省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00837641.jpg,,,,,,,,,, +平卧黄芩,Scutellaria prostrata,,627,19720000,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00837735.jpg,,,,,,,,,, +平卧黄芩,Scutellaria prostrata,"刘成, 张挺, 李昌洪, 熊晓强",16CS12330,20160604,新疆,631,路上方碎石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1448134.jpg,,,,,,,,,, +平卧黄芩,Scutellaria prostrata,新疆队,1736,78.07.28,新疆维吾尔自治区 ,3020,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00033258.jpg,,,,,,,,,, +假韧黄芩,Scutellaria pseudotenax,Liu Ebde等,2196,20090806,云南省,2960,under Abies forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885369.jpg,,,,,,,,,, +假韧黄芩,Scutellaria pseudotenax,向春雷等,548,20100609,四川省,1900,slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1224577.jpg,,,,,,,,,, +甘肃黄芩,Scutellaria rehderiana,段长虹,Dch0408,20140720,山西省,1127,农田地畔,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037363.jpg,,,,,,,,,, +甘肃黄芩,Scutellaria rehderiana,孙学刚等,20010403,20010820,甘肃省,2450,山坡草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883832.jpg,,,,,,,,,, +甘肃黄芩,Scutellaria rehderiana,王维宁,4450,19830814,宁夏回族自治区,1100,田地边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00958188.jpg,,,,,,,,,, +棱茎黄芩,Scutellaria scandens,,Q55,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00958193.jpg,,,,,,,,,, +并头黄芩,Scutellaria scordifolia,陈全胜,CF-0001-019,20170820,内蒙古自治区,954,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247182.jpg,,,,,,,,,, +并头黄芩,Scutellaria scordifolia,"张宪春,傅德志",6963,20140624,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048247.jpg,,,,,,,,,, +并头黄芩,Scutellaria scordifolia,孔冬梅,k0139,20140614,山西省,1510,阴湿坡地,,无花无果,https://image.cvh.ac.cn/files/l/PE/02035721.jpg,,,,,,,,,, +大坪子黄芩,Scutellaria tapintzeensis,滇西北队,6548,19630816,云南省,2450,松栎林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/821307.jpg,,,,,,,,,, +大坪子黄芩,Scutellaria tapintzeensis,"蔡杰, 秦少发",15CS11371,20150924,云南,2438,常绿阔叶林林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445007.jpg,,,,,,,,,, +展毛百里香,Scutellaria tenax var. patentipilosa,,20,19590511,四川省,1000,山顶阳处灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00904210.jpg,,,,,,,,,, +展毛百里香,Scutellaria tenax var. patentipilosa,张文定,83,19600707,陕西省,0,路旁,,有花无果,https://image.cvh.ac.cn/files/l/KUN/821988.jpg,,,,,,,,,, +展毛百里香,Scutellaria tenax var. patentipilosa,朱兆仪,徐福昌,463,19580831,青海省,2410,河滩上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/821993.jpg,,,,,,,,,, +,Scutellaria tenax var. tenax,"张挺, 郭永杰, 吴之坤, 姜虹, 李贵能",16CS12571,20160813,四川,2150,山脊路边灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1455768.jpg,,,,,,,,,, +紫苏叶黄芩,Scutellaria violacea var. sikkimensis,向春雷,胡国雄等,504,20111119,云南省,2200,Hill side,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1224535.jpg,,,,,,,,,, +紫苏叶黄芩,Scutellaria violacea var. sikkimensis,Courtois,18908,19170520,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00227196.jpg,,,,,,,,,, +,Scutellaria violacea var. sikkimensis,"Maire, Edouard-Ernest",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00284342.jpg,,,,,,,,,, +丽江鲫鱼藤,Secamone likiangensis,青藏队,13372,19830825,四川省,1900~2000,山坡 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132984.jpg,,,,,,,,,, +丽江鲫鱼藤,Secamone likiangensis,,2549,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01025912.jpg,,,,,,,,,, +丽江鲫鱼藤,Secamone likiangensis,刘慎谔,18431,19410328,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01025890.jpg,,,,,,,,,, +催吐鲫鱼藤,Secamone minutiflora,刘慎谔,18431,19410328,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0521271.jpg,,,,,,,,,, +催吐鲫鱼藤,Secamone minutiflora,E.H.Wilson,2246,19080500,四川省,1330,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0521274.jpg,,,,,,,,,, +催吐鲫鱼藤,Secamone minutiflora,N.Steward,436,19330517,广西壮族自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0521262.jpg,,,,,,,,,, +,Sedum aizoon var. aizoon,张洪军,ZHANG2018HC117,20180609,甘肃,2193,温带丛生禾草、灌木、半灌木荒漠植被,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1446389.jpg,,,,,,,,,, +狭叶费菜,Sedum aizoon var. aizoon,刘正宇,2050082,20050517,重庆,1200,山地阴湿岩壁上,草本,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0060555.jpg,,,,,,,,,, +狭叶费菜,Sedum aizoon var. aizoon,9组,DC0050,20170711,河北省,1234,草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/HBNU/HBNU10018297.jpg,,,,,,,,,, +东南景天,Sedum alfredii,张彩飞,2678,20110601,湖南省,200~300,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247385.jpg,,,,,,,,,, +东南景天,Sedum alfredii,陈添财,11405,20010628,台湾省,900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100606.jpg,,,,,,,,,, +东南景天,Sedum alfredii,,13588,19760727,四川省,1500,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100590.jpg,,,,,,,,,, +短尖景天,Sedum beauverdii,蓝顺彬,729,19860921,云南省,3500,高山石岩脚,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269237.jpg,,,,,,,,,, +繸叶景天,Sedum blepharophyllum,付坤俊,16564,1965/9/12,四川省,3200,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0247698.jpg,,,,,,,,,, +,Sedum blepharophyllum,"Smith, H.",12694,1934/8/10,,,,,,https://image.cvh.ac.cn/files/l/P/P00706339.jpg,,,,,,,,,, +隐匿景天,Sedum celatum,钟补求,8699,19580813,青海省,3660,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00885785.jpg,,,,,,,,,, +隐匿景天,Sedum celatum,K.T.Fu,1298,19370719,甘肃省,3150,on rock,,有花无果,https://image.cvh.ac.cn/files/l/PE/00885781.jpg,,,,,,,,,, +镰座景天,Sedum celiae,俞德俊,1742,19321019,四川省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00885787.jpg,,,,,,,,,, +镰座景天,Sedum celiae,付坤俊,16716,1965/10/4,四川省 ,2700,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0482238.jpg,,,,,,,,,, +,Sedum celiae,,11550,19330830,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0005580.jpg,,,,,,,,,, +互生叶景天,Sedum chauveaudii var. margaritae,K.M.Feng,2894,19390831,四川省,2750,on rocky in mixed forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/00885776.jpg,,,,,,,,,, +互生叶景天,Sedum chauveaudii var. margaritae,K.M. Feng,2894,1939/8/31,云南省,2750,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0249701.jpg,,,,,,,,,, +合果景天,Sedum concarpum,王映明,4985,19880710,湖北省,900,石岩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802440.jpg,,,,,,,,,, +合果景天,Sedum concarpum,简焯坡等,401357,19640901,江西省,1000,峡谷林内水色岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269246.jpg,,,,,,,,,, +合果景天,Sedum concarpum,秦仁昌,30991,19400828,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00885805.jpg,,,,,,,,,, +三裂距景天,Sedum costantinii,PE西藏队,PE6610,20170914,西藏自治区,3934,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309635.jpg,,,,,,,,,, +三裂距景天,Sedum costantinii,蒋兴麟,36839,19530916,四川省,3050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00885795.jpg,,,,,,,,,, +,Sedum costantinii,"Wilson, E.H.",3634,4-Oct,,,,,,https://image.cvh.ac.cn/files/l/P/P00706357.jpg,,,,,,,,,, +大萼啮瓣景天,Sedum daigremontianum var. macrosepalum,杨光辉,56596,19570811,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00885821.jpg,,,,,,,,,, +大萼啮瓣景天,Sedum daigremontianum var. macrosepalum,李小杰,LiXJ770,20151002,四川,3052,向阳坡地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1458304.jpg,,,,,,,,,, +双萼景天,Sedum didymocalyx,"胡文光,何铸",10776,19510812,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00885822.jpg,,,,,,,,,, +双萼景天,Sedum didymocalyx,付坤俊,16729,1965/9/13,四川省 ,4700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0249710.jpg,,,,,,,,,, +藓茎景天,Sedum dugueyi,"何铸,周子林",14315,19520000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00885873.jpg,,,,,,,,,, +细叶景天,Sedum elatinoides,刘正宇,17058,19960517,重庆市,730,阴湿岩壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100652.jpg,,,,,,,,,, +细叶景天,Sedum elatinoides,Xiaohua Jin & Ting Zhang,208,20080519,云南省,1859,forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100452.jpg,,,,,,,,,, +细叶景天,Sedum elatinoides,"张树仁,陈淑荣,朗校安等",2209,20140622,四川省,1252~1800,路边 山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021920.jpg,,,,,,,,,, +凹叶景天,Sedum emarginatum,花坪自然保护区植物区系考察队,H0867,20060427,广西壮族自治区,550,山地、山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100696.jpg,,,,,,,,,, +凹叶景天,Sedum emarginatum,刘正宇,17227,19960523,重庆市,720,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100653.jpg,,,,,,,,,, +凹叶景天,Sedum emarginatum,,13633,19760731,四川省,2600,阴湿林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100591.jpg,,,,,,,,,, +,Sedum engleri var. forrestii,应俊生,4889,19601031,四川省,3000,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914059.jpg,,,,,,,,,, +尖叶景天,Sedum fedtschenkoi,PE西藏队,PE5222,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333629.jpg,,,,,,,,,, +尖叶景天,Sedum fedtschenkoi,,799,19640826,青海省,4000,阴坡草原化草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803896.jpg,,,,,,,,,, +尖叶景天,Sedum fedtschenkoi,青藏队,5121,19810822,四川省,,高山湖泊岸边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914094.jpg,,,,,,,,,, +小景天,Sedum fischeri,PE西藏队,PE5239,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309646.jpg,,,,,,,,,, +小景天,Sedum fischeri,T.N.Ho et al.,1717,19960812,青海省,4430,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01800862.jpg,,,,,,,,,, +川滇景天,Sedum forrestii,K.M.Feng,1894,19390724,云南省,3800,On open pastur,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914127.jpg,,,,,,,,,, +川滇景天,Sedum forrestii,青藏队,12321,19830723,四川省,4000,山坡,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914124.jpg,,,,,,,,,, +细叶山景天,Sedum franchetii,秦仁昌,24135,19290827,云南省,3700,石崖上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914131.jpg,,,,,,,,,, +,Sedum franchetii,张挺,郭永杰,刘成等,10CS2278,20100807,云南,2788,"E-facing slope under Pinus yunnanensis with Rhododendron, Polygonum, Aster, Arisaema and Thalictrum. Growing in moss on rock.",匍匐草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1237261.jpg,,,,,,,,,, +锡金景天,Sedum gagei,刘尚武,414,19650817,青海省,4000,阳坡石岩缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803895.jpg,,,,,,,,,, +锡金景天,Sedum gagei,陶德定,10951,19760817,西藏自治区,4200,河谷,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914157.jpg,,,,,,,,,, +,Sedum gagei,陈家辉,王赟,刘德团等,YangYP-Q-3216,20100917,西藏,4902,高山草甸,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237262.jpg,,,,,,,,,, +道孚景天,Sedum glaebosum,崔友文,5504,19510823,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914161.jpg,,,,,,,,,, +道孚景天,Sedum glaebosum,T.N.Ho et al.,2600,19960829,青海省,3450,on slopes and riparian areas along river bottom,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914155.jpg,,,,,,,,,, +巴塘景天,Sedum heckelii,青藏队补点组,751321,19750811,西藏自治区,3100,干旱山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914175.jpg,,,,,,,,,, +,Sedum heckelii,罗建,汪书丽,LiuJQ-11XZ-070,20110828,西藏,4243,温带山坡灌丛,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237264.jpg,,,,,,,,,, +巴塘景天,Sedum heckelii,C.W. Wang,66217,1935/09/,,3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0035501.jpg,,,,,,,,,, +横断山景天,Sedum hengduanense,四川植被调查队,2570,1973-8 1,四川省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0035110.jpg,,,,,,,,,, +横断山景天,Sedum hengduanense,梅里队,27342,19930513,云南省,2000~2100,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005824.jpg,,,,,,,,,, +山岭景天,Sedum henrici-robertii,Ho Ting-nung et al.,843,19930806,青海省,3870,Growing on rock edges in shade,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914183.jpg,,,,,,,,,, +山岭景天,Sedum henrici-robertii,黄荣福,CG-607,19840829,西藏自治区,4900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/109151.jpg,,,,,,,,,, +日本景天,Sedum japonicum,王功范,01-0293,20030601,贵州省,800,路边路地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100611.jpg,,,,,,,,,, +日本景天,Sedum japonicum,巴山采集队,195,20080709,重庆市,1428,山坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860361.jpg,,,,,,,,,, +钝萼景天,Sedum leblancae,,14903,19760908,四川省,3500,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100592.jpg,,,,,,,,,, +钝萼景天,Sedum leblancae,T.N.Liou,14434,19451122,云南省,2100,In limestone crevice,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914278.jpg,,,,,,,,,, +白果景天,Sedum leucocarpum,"汤宗孝,田效文,张正华",1025,19810909,云南省,2720,干旱山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100576.jpg,,,,,,,,,, +白果景天,Sedum leucocarpum,川经西(59)字,3422,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100574.jpg,,,,,,,,,, +长珠柄景天,Sedum longifuniculatum,周洪富 张泽荣,23776,19570815,四川省,4200,,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029234.jpg,,,,,,,,,, +长珠柄景天,Sedum longifuniculatum,彭玉兰、余奇、李林霖,THP-KD-0960,20170610,四川,2861,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253131.jpg,,,,,,,,,, +康定黄绿景天,Sedum lutzii var. viridiflavum,李馨,78687,19580908,四川省,4200,山脊 路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029239.jpg,,,,,,,,,, +黄绿景天,Sedum lutzii var. viridiflavum,李馨,78687,1958/9/8,四川省 ,4200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0250922.jpg,,,,,,,,,, +大花景天,Sedum magniflorum,中甸队,1739,19620831,云南省,4100,冷杉林黄草中常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914377.jpg,,,,,,,,,, +大花景天,Sedum magniflorum,徐养鹏,161,19581110,四川省,850,,草本,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ009239.jpg,,,,,,,,,, +,Sedum majus,许炳强,童毅华,XiaNH-07zx-0597,20101005,西藏,3870,山坡,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1237266.jpg,,,,,,,,,, +,Sedum majus,李小杰 ,LiXJ560,20131117,四川省,835,林下岩石,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1321111.jpg,,,,,,,,,, +小倒卵叶景天,Sedum morotii var. pinoyi,方文培,3511,19280922,四川省,2833~3000,on stone,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914460.jpg,,,,,,,,,, +多茎景天(原亚种),Sedum multicaule subsp. multicaule,张桥蓉,蒋婷,李国辉,王昆仑,ZhangYH145,20191124,云南,2362,灌草丛中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489064.jpg,,,,,,,,,, +铲瓣景天,Sedum obtrullatum,王启无/C.W.Wang,69532,19350900,云南省,3300,Mountain slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00029243.jpg,,,,,,,,,, +铲瓣景天,Sedum obtrullatum,王启无/C.W.Wang,66274,19350900,西藏自治区,1400,River side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029242.jpg,,,,,,,,,, +,Sedum obtrullatum,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0911,20080726,西藏,4495,高山灌丛草甸至流石滩,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300982.jpg,,,,,,,,,, +钝瓣景天,Sedum obtusipetalum,俞德俊,10266,19370907,云南省,2600,mt.open slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914615.jpg,,,,,,,,,, +钝瓣景天,Sedum obtusipetalum,李馨,72043,19570818,四川省,3240,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914607.jpg,,,,,,,,,, +钝瓣景天,Sedum obtusipetalum,付坤俊,16673,1965/9/26,四川省 ,3650,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0249673.jpg,,,,,,,,,, +齿叶景天,Sedum odontophyllum,候满福,116,20060509,广西壮族自治区,,石山石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100629.jpg,,,,,,,,,, +齿叶景天,Sedum odontophyllum,鄂植考队,24133,19770726,湖北省,1200,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100617.jpg,,,,,,,,,, +大苞景天,Sedum oligospermum,,142,19880626,河南省,1600,沟谷 华山松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100688.jpg,,,,,,,,,, +大苞景天,Sedum oligospermum,任再金,人2791,19870910,湖北省,1450,山间阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100641.jpg,,,,,,,,,, +大苞景天,Sedum oligospermum,金佛山考察队,1970,19860802,重庆市,1450,阳湿林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100570.jpg,,,,,,,,,, +山景天,Sedum oreades,PE西藏队,PE5794,20170903,西藏自治区,3401,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309659.jpg,,,,,,,,,, +山景天,Sedum oreades,H.Ohashi et al.,772351,19770814,,3400~4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900767.jpg,,,,,,,,,, +山景天,Sedum oreades,T.T.Yu,12289,19370719,云南省,3600,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269350.jpg,,,,,,,,,, +寒地景天,Sedum pagetodes,刘振书,1445,19340000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914677.jpg,,,,,,,,,, +寒地景天,Sedum pagetodes,刘振书,1445,1934/ /,四川省 ,3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0249707.jpg,,,,,,,,,, +寒地景天,Sedum pagetodes,青藏补点,751481,19750802,西藏自治区,4750,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/52091.jpg,,,,,,,,,, +宝兴景天,Sedum paoshingense,T.H.Tu,4351,19330708,四川省,1750,路边石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029247.jpg,,,,,,,,,, +敏感景天,Sedum paracelatum,,7906,19740917,四川省,4000,草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914676.jpg,,,,,,,,,, +敏感景天,Sedum paracelatum,K.T. Fu,16499,,,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0249663.jpg,,,,,,,,,, +甘肃景天,Sedum perrotii,刘恩兰,s.n.,,四川省,,高山,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914680.jpg,,,,,,,,,, +,Sedum perrotii,陈世龙,高庆波,张发起,李印虎,付鹏程,邢睿,ChenSL1324,20110728,青海,4470,高寒草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1300983.jpg,,,,,,,,,, +甘肃景天,Sedum perrotii,陈实,284,1960/7/18,青海省,4150,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0215152.jpg,,,,,,,,,, +宽萼景天,Sedum platysepalum,俞德俊,12988,19370829,四川省,3700,upon rock surface,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914689.jpg,,,,,,,,,, +宽萼景天,Sedum platysepalum,李延辉等,374,19871021,云南省,3280,山顶石上或石缝中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1265512.jpg,,,,,,,,,, +,Sedum platysepalum,伊廷双,杨杨,孟静,MJ-836,20070923,云南,2150,公路边,干燥,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1237279.jpg,,,,,,,,,, +绿瓣景天,Sedum prasinopetalum,付坤俊,16721,1965/10/5,四川省,4400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0247796.jpg,,,,,,,,,, +绿瓣景天,Sedum prasinopetalum,果洛队,476,19710809,青海省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/25551.jpg,,,,,,,,,, +牧山景天,Sedum pratoalpinum,北京所横断山队,2273,19810729,云南省,4100~4200,高山流石滩,细土湿地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914709.jpg,,,,,,,,,, +牧山景天,Sedum pratoalpinum,周立华,471,19660911,青海省,4620,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/55205.jpg,,,,,,,,,, +高原景天,Sedum przewalskii,PE西藏队,PE5065,20170825,西藏自治区,3749,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309528.jpg,,,,,,,,,, +高原景天,Sedum przewalskii,刘尚武,283,19650801,青海省,4200,阶地砂滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803900.jpg,,,,,,,,,, +膨果景天,Sedum raymondii,王启无,68939,19350800,云南省,3700,mt.slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914946.jpg,,,,,,,,,, +膨果景天,Sedum raymondii,王启无,66274,19350900,西藏自治区,1400,River side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914945.jpg,,,,,,,,,, +阔叶景天,Sedum roborowskii,刘尚武,527,19650825,青海省,4100,山顶阳坡的石岩缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803899.jpg,,,,,,,,,, +阔叶景天,Sedum roborowskii,孙学刚等,20010454,20010820,甘肃省,2600,山坡石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800997.jpg,,,,,,,,,, +大花川西景天,Sedum rosei var. magniflorum,付坤俊,16641,1965/9/23,四川省,4250,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0247751.jpg,,,,,,,,,, +垂盆草,Sedum sarmentosum,周口店考察队,V143,20080928,北京市,151,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112258.jpg,,,,,,,,,, +垂盆草,Sedum sarmentosum,"杨丽华,顾佳",80200,20080714,湖南省,170,丹霞山区,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100707.jpg,,,,,,,,,, +垂盆草,Sedum sarmentosum,"Zhu, Chen, Xu,Wang",2239,19990708,陕西省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100610.jpg,,,,,,,,,, +冰川景天,Sedum sinoglaciale,青藏考察队,14447,19830906,四川省,4100,灌丛 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914961.jpg,,,,,,,,,, +冰川景天,Sedum sinoglaciale,K.M.Feng,2167,19390824,云南省,,on open hill side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029258.jpg,,,,,,,,,, +,Sedum sinoglaciale,陈世龙,张得钧,高庆波等,ChenSL0385,20080808,青海,4040,河滩地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237286.jpg,,,,,,,,,, +火焰草,Sedum stellariifolium,周口店考察队,289,20091020,北京市,157,石头上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112259.jpg,,,,,,,,,, +火焰草,Sedum stellariifolium,赵常明,EX1894,20080813,湖北省,450,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100704.jpg,,,,,,,,,, +火焰草,Sedum stellariifolium,"Ying Taun-shen,Guo Qin-feng. Li Yun-feng,Cui He.",109,19870710,陕西省,1000,On rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100703.jpg,,,,,,,,,, +刺毛景天,Sedum stimulosum,胡文光 何铸,11256,19510920,四川省,,"岩石上,山顶,密林中",小草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029259.jpg,,,,,,,,,, +刺毛景天,Sedum stimulosum,付坤俊,196730,1965/10/7,四川省 ,1500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0482286.jpg,,,,,,,,,, +,Sedum triactina var. leptum,四川植被队,9781,1975-8 1,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0035237.jpg,,,,,,,,,, +镘瓣景天(原变种),Sedum trullipetalum var. trullipetalum,白洪兵、李红,533324180917897LY,20180917,云南,1178,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009975.jpg,,,,,,,,,, +青海景天,Sedum tsinghaicum,Ho Ting-nung et al.,934,19930809,青海省,4150,on rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00915273.jpg,,,,,,,,,, +,Sedum tsinghaicum,陈世龙,高庆波,张发起等,ChenSL1040,20100815,青海,3270,高山河谷,直立草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1237292.jpg,,,,,,,,,, +错那景天,Sedum tsonanum,PE西藏队,PE5933,20170905,西藏自治区,3020~3460,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309545.jpg,,,,,,,,,, +甘南景天,Sedum ulricae,张寿洲等,955,20130925,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990300.jpg,,,,,,,,,, +甘南景天,Sedum ulricae,白龙江考察队,512,19980721,甘肃省,2900,山地 山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556530.jpg,,,,,,,,,, +甘南景天,Sedum ulricae,吴征镒等,75-995,19750718,西藏自治区,4500,矮杜鹃灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00915238.jpg,,,,,,,,,, +启无景天,Sedum wangii,PE西藏队,PE6445,20170912,西藏自治区,3449~4414,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309547.jpg,,,,,,,,,, +启无景天,Sedum wangii,C.W.Wang,69549,19350900,云南省,3000,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029266.jpg,,,,,,,,,, +汶川景天,Sedum wenchuanense,,8460,19750728,四川省,1800,山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269167.jpg,,,,,,,,,, +汶川景天,Sedum wenchuanense,汶川队,5047,19580527,四川,1350,山上,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM706400854.jpg,,,,,,,,,, +亮蛇床,Selinum cryptotaenium,CLD-90,96,19900925,云南省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309060.jpg,,,,,,,,,, +亮蛇床,Selinum cryptotaenium,Anonymous,1117,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01933630.jpg,,,,,,,,,, +亮蛇床,Selinum cryptotaenium,T.T.Yu,3469,19340717,四川省,2600,mt.slope open place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755163.jpg,,,,,,,,,, +,Selinum wallichianum,T.N.Ho (HNWP) et al.,2879,19960904,青海省,3650,Narrow limestone gorge cliff bases with rubble and earth covered with bushland and remnants of Juniperus trees Salix the commonest shrub bottom of gorge with river and narrow flat alluvial area with,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755232.jpg,,,,,,,,,, +,Selinum wallichianum,ACE,1988,19941012,云南省,2650,Open grassy areas in deciduous and evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755184.jpg,,,,,,,,,, +白紫千里光,Senecio albopurpureus,青藏队,7176,19750801,西藏自治区,4100,山坡流水沟旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854654.jpg,,,,,,,,,, +,Senecio analogus,"郭永杰, 赵文李, 唐培洵, 金仙玲, 张香群",13CS7328,20130418,云南,,澜沧江河谷灌丛山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1376072.jpg,,,,,,,,,, +菊状千里光,Senecio analogus,田代科、顾建中,TDK00590,20120620,湖南,,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0013959.jpg,,,,,,,,,, +菊状千里光,Senecio analogus,张代贵,dt090623002,20090623,重庆,,林下草地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU68321.jpg,,,,,,,,,, +长舌千里光,Senecio arachnanthus,王汉臣,1466,19411000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00998406.jpg,,,,,,,,,, +长舌千里光,Senecio arachnanthus,姚淦,3926,19901006,西藏自治区,2100,常绿阔叶林中,藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00004930.jpg,,,,,,,,,, +,Senecio arachnanthus,J. M. Delavay,411,1889-8-6,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00012244.jpg,,,,,,,,,, +额河千里光,Senecio argunensis,黄土高原采集队,2945,19840802,山西省,2200,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108923.jpg,,,,,,,,,, +额河千里光,Senecio argunensis,黄河队,7752,19560819,陕西省,,草地潮地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081728.jpg,,,,,,,,,, +额河千里光,Senecio argunensis,黄河队,7275,19560708,内蒙古自治区,1350,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081727.jpg,,,,,,,,,, +,Senecio atrofuscus,T.T.Yu,12745,19370805,云南省,3400,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836342.jpg,,,,,,,,,, +黑褐千里光,Senecio atrofuscus,罗建、汪书丽,LIUJQ082,20110827,西藏自治区,0~4243,山坡灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280496.jpg,,,,,,,,,, +,Senecio atrofuscus,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",14324,11-Aug-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00417019.jpg,,,,,,,,,, +双舌千里光,Senecio biligulatus,陈又生,9700,20090903,云南省,2800~3000,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053146.jpg,,,,,,,,,, +双舌千里光,Senecio biligulatus,FLPH Tibet Expedition,12-1848,20120919,西藏自治区,2300~3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967515.jpg,,,,,,,,,, +双舌千里光,Senecio biligulatus,"张挺, 刘成, 亚吉东",18CS17690,20180916,西藏,3744,林缘路边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487362.jpg,,,,,,,,,, +千里光,Senecio chenopodifolius,陈立同、田新民,Ljq07125,20070912,西藏自治区,3800,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/00002880.jpg,,,,,,,,,, +中甸千里光,Senecio chungtienensis,尹志坚等,1435,20090721,云南省,3000,Roadsides,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885413.jpg,,,,,,,,,, +,Senecio chungtienensis,"Forrest, George",12641,14-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00413186.jpg,,,,,,,,,, +稻城千里光,Senecio daochengensis,植被调查队,3884,19730821,四川省,4800,灌丛山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01854638.jpg,,,,,,,,,, +稻城千里光,Senecio daochengensis,T.T.Yu,12745,,云南省,3400,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834030.jpg,,,,,,,,,, +密花千里光,Senecio densiflorus,"简焯坡,张秀实等",32306,19631014,贵州省,660,山坡 灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01299523.jpg,,,,,,,,,, +密花千里光,Senecio densiflorus,孙必兴等,686,19730617,云南省,1800,山沟次生林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/725191.jpg,,,,,,,,,, +,Senecio densiflorus,Y.Z.Sun,1398,19381125,四川省,,,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00497807.jpg,,,,,,,,,, +密齿千里光,Senecio densiserratus,"李良千,王忠涛,杜玉芬,卫然",307,20110915,甘肃省,3000~3200,山谷沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01914121.jpg,,,,,,,,,, +密齿千里光,Senecio densiserratus,"朱大海,张超,李小杰",4644,20070811,四川省,2600,路边、林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882680.jpg,,,,,,,,,, +芥叶千里光,Senecio desfontainei,青藏队,76-12924,19760701,西藏自治区,3000,岩质坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844897.jpg,,,,,,,,,, +,Senecio diversipinnus,"陈又生,王泽欢",9189,20090730,四川省,2500~3100,山谷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053463.jpg,,,,,,,,,, +,Senecio diversipinnus,D.E. Boufford et al.,41607,20090801,西藏自治区,3225,"Rocky meadow with Kobresia, Spenceria, Bistorta,Artemisia(with Cotoneaster appressed to rocks),stony slopes and limestone cliffs and boulders.Base of limestone cliff.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01909724.jpg,,,,,,,,,, +,Senecio diversipinnus,D. E. Boufford et al.,34370,20050809,青海省,3670~3700,"meadows, thickets and Juniperus foreston slopes",,有花无果,https://image.cvh.ac.cn/files/l/PE/01894996.jpg,,,,,,,,,, +黑缘千里光,Senecio dodrans,D. E. Boufford et al.,39828,20070816,四川省,4260~4400,in patches of soil on rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01895008.jpg,,,,,,,,,, +,Senecio drukensis,罗建等,LuoJian-ML037,20090927,西藏自治区,4625,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912830.jpg,,,,,,,,,, +垂头千里光,Senecio drukensis,克里木,92370,1992.8.2,新疆维吾尔自治区 ,1500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00045310.jpg,,,,,,,,,, +垂头千里光,Senecio drukensis,克里木,92370,1992820,,1500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20025707.jpg,,,,,,,,,, +北千里光,Senecio dubitabilis,王淑茹,36,19650830,甘肃省,2500,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912768.jpg,,,,,,,,,, +北千里光,Senecio dubitabilis,陈又生,12-2269,20130903,新疆维吾尔自治区,3195,砾石草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901942.jpg,,,,,,,,,, +裸缨千里光,Senecio echaetus,"李渤生,李辉,阳艺",13360,19900901,西藏自治区,3100,亚高山草甸时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01507115.jpg,,,,,,,,,, +裸缨千里光,Senecio echaetus,"张挺, 刘成, 亚吉东",18CS17708,20180916,西藏,3850,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487413.jpg,,,,,,,,,, +峨眉千里光,Senecio faberi,陈又生,8156,20080917,四川省,3200,open slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113453.jpg,,,,,,,,,, +峨眉千里光,Senecio faberi,"党成忠,党平",80,19860624,贵州省,1340,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798824.jpg,,,,,,,,,, +匍枝千里光,Senecio filiferus,FLPH Sichuan Expedition,151082,20150824,四川省,3156,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084183.jpg,,,,,,,,,, +匍枝千里光,Senecio filiferus,"陈又生,王泽欢",9042,20090721,云南省,2700~3000,林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053475.jpg,,,,,,,,,, +纤花千里光,Senecio graciliflorus,PE西藏队,PE5875,20170905,西藏自治区,3020~3460,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334044.jpg,,,,,,,,,, +纤花千里光,Senecio graciliflorus,陈又生,9706,20090903,云南省,2800~3200,草坡,,,https://image.cvh.ac.cn/files/l/PE/02053720.jpg,,,,,,,,,, +新疆千里光,Senecio jacobaea,"陈又生,袁慊",141491,20140812,新疆维吾尔自治区,803,石砾坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02065005.jpg,,,,,,,,,, +新疆千里光,Senecio jacobaea,J.Calvo & M.Rovira,JC2755,20080820,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055077.jpg,,,,,,,,,, +天山千里光,Senecio kawaguchii,陈晓澄等,3810,20130807,青海省,3905,高山草甸、裸岩、流石滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00015251.jpg,,,,,,,,,, +工布千里光,Senecio kongboensis,"陈又生,王泽欢",9429,20090813,西藏自治区,4800,沙坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053288.jpg,,,,,,,,,, +,Senecio kongboensis,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",14432,22-Aug-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00385525.jpg,,,,,,,,,, +细梗千里光,Senecio krascheninnikovii,"陈又生,袁慊",141490,20140812,新疆维吾尔自治区,803,石砾坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035479.jpg,,,,,,,,,, +细梗千里光,Senecio krascheninnikovii,青藏队,8410,19760712,西藏自治区,3900,孔雀河滩 砾石坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00852144.jpg,,,,,,,,,, +细梗千里光,Senecio krascheninnikovii,中国科学院甘青调查队,168,19590617,青海省,2900,初开垦荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00634510.jpg,,,,,,,,,, +拉萨千里光,Senecio lhasaensis,青藏队补点组,751468,19750821,西藏自治区,4200,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854655.jpg,,,,,,,,,, +丽江千里光,Senecio lijiangensis,中甸队,1431,19600806,云南省,3700~3800,冷杉林下成片生长,,有花有果,https://image.cvh.ac.cn/files/l/PE/00634261.jpg,,,,,,,,,, +君范千里光,Senecio lingianus,"陈又生,王泽欢",9338,20090808,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053466.jpg,,,,,,,,,, +大花千里光,Senecio megalanthus,青藏队,4995,19810818,四川省,4800,山坡 流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609233.jpg,,,,,,,,,, +,Senecio megalanthus,鞠文彬,郑臣臣,THP-KD-6256,20170817,四川,4320,水沟边石砾坡,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251578.jpg,,,,,,,,,, +兔儿伞,Senecio megalanthus,学生,,19790826,黑龙江,,,,有花无果,https://image.cvh.ac.cn/files/l/NEAU/NEAU0000945.jpg,,,,,,,,,, +木里千里光,Senecio muliensis,陈又生,9629,20090827,四川省,4000,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053157.jpg,,,,,,,,,, +木里千里光,Senecio muliensis,T.T.Yu,14591,19371020,,4000,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609241.jpg,,,,,,,,,, +多苞千里光,Senecio multibracteolatus,,11716,19761013,四川省,2800,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01690065.jpg,,,,,,,,,, +多苞千里光,Senecio multibracteolatus,,2749,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609249.jpg,,,,,,,,,, +林荫千里光,Senecio nemorensis,王功范,1-0788,20030831,贵州省,850,公路旁,山坡林下阴湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02234817.jpg,,,,,,,,,, +林荫千里光,Senecio nemorensis,"朱大海,王永,尚涛",1757,20030921,四川省,1000,山坡下部沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114917.jpg,,,,,,,,,, +林荫千里光,Senecio nemorensis,T.Miyazaki,1311287,20110802,,1560~1620,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069526.jpg,,,,,,,,,, +黑苞千里光,Senecio nigrocinctus,陈又生,8083,20080818,云南省,4000,杜鹃林下湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113450.jpg,,,,,,,,,, +黑苞千里光,Senecio nigrocinctus,,11516,19380828,湖南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609557.jpg,,,,,,,,,, +黑苞千里光,Senecio nigrocinctus,,6230,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609558.jpg,,,,,,,,,, +节花千里光,Senecio nodiflorus,康藏植物考察队,10-2570,20100820,云南省,4000~4200,高山草甸,,,https://image.cvh.ac.cn/files/l/PE/02053743.jpg,,,,,,,,,, +节花千里光,Senecio nodiflorus,"陈又生,王泽欢",9356,20090808,西藏自治区,3700~4000,河滩或草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052960.jpg,,,,,,,,,, +裸茎千里光,Senecio nudicaulis,A.Henry,10603,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834027.jpg,,,,,,,,,, +裸茎千里光,Senecio nudicaulis,,6225,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609582.jpg,,,,,,,,,, +裸茎千里光,Senecio nudicaulis,,263,19291009,四川省,,乱草,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609581.jpg,,,,,,,,,, +钝叶千里光,Senecio obtusatus,王汉臣,2172,19420521,云南省,,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854643.jpg,,,,,,,,,, +钝叶千里光,Senecio obtusatus,管中天,7357,19590415,四川省,1570,小山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01690109.jpg,,,,,,,,,, +西南千里光,Senecio pseudomairei,,11052,1975-8 1,四川省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0146572.jpg,,,,,,,,,, +,Senecio pseudomairei,"Cavalerie, Pierre Julien",3364,8-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00385522.jpg,,,,,,,,,, +西南千里光,Senecio pseudomairei,吴金清,樊明策,9356,20080302,重庆,107,江边,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0177273.jpg,,,,,,,,,, +蕨叶千里光,Senecio pteridophyllus,陈又生,8068,20080815,云南省,3300,石砾坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113452.jpg,,,,,,,,,, +蕨叶千里光,Senecio pteridophyllus,"陈又生,王泽欢",9082,20090723,四川省,2716,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053472.jpg,,,,,,,,,, +莱菔叶千里光,Senecio raphanifolius,陈又生,9767,20090911,西藏自治区,3597,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053500.jpg,,,,,,,,,, +珠峰千里光,Senecio royleanus,"李渤生,李辉",14215,19901011,西藏自治区,3300~3600,Abies林内草地多见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01507124.jpg,,,,,,,,,, +珠峰千里光,Senecio royleanus,,11459,19380828,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0054520.jpg,,,,,,,,,, +珠峰千里光,Senecio royleanus,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201498,20200805,西藏,2661,路边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509358.jpg,,,,,,,,,, +风毛菊状千里光,Senecio saussureoides,"W.T.JIN,Q.Yuan",13-0261,20130804,西藏自治区,4343,山谷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111345.jpg,,,,,,,,,, +风毛菊状千里光,Senecio saussureoides,FLPH Sichuan Expedition,151451,20150828,四川省,4010,grassy slopes and thcikets,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084188.jpg,,,,,,,,,, +千里光,Senecio scandens,张彩飞,2148,20091025,浙江省,212,山坡灌草丛中,常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247542.jpg,,,,,,,,,, +千里光,Senecio scandens,赵佐成,2947,19931007,四川省,1400,阳处地边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235153.jpg,,,,,,,,,, +千里光,Senecio scandens,谭策铭,92324,19921101,江西省,150,山脚地墈,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233579.jpg,,,,,,,,,, +缺裂千里光,Senecio scandens var. incisus,"李良千,王忠涛,杜玉芬,卫然",260,20110913,甘肃省,1845~2023,林缘沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01914119.jpg,,,,,,,,,, +缺裂千里光,Senecio scandens var. incisus,何文丰,2262,20030728,台湾省,1500~2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913077.jpg,,,,,,,,,, +缺裂千里光,Senecio scandens var. incisus,D. E. Boufford et al.,38749,20070802,四川省,2230~2500,open place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882691.jpg,,,,,,,,,, +葶状千里光,Senecio scapiformis,张永田 郎楷永/Y.T.Chang & K.Y.Lang,4231,19660615,西藏自治区,3750,山坡 草地 水边,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00609222.jpg,,,,,,,,,, +匙叶千里光,Senecio spathiphyllus,"田,张",95(12),19810805,云南省,3260,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01690153.jpg,,,,,,,,,, +匙叶千里光,Senecio spathiphyllus,Schultze-Motel,101,19570106,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0602197.jpg,,,,,,,,,, +匙叶千里光,Senecio spathiphyllus,George Forrest,26359,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0602194.jpg,,,,,,,,,, +,Senecio thianschanicus,"张中帅,李灵露",zzs&111-066,20140830,甘肃省,3900,碎石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037492.jpg,,,,,,,,,, +,Senecio thianschanicus,陈又生等,140975,20140728,内蒙古自治区,,干山沟草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035921.jpg,,,,,,,,,, +,Senecio thianschanicus,"陈又生,袁慊",141399,20140808,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035485.jpg,,,,,,,,,, +西藏千里光,Senecio tibeticus,青藏队,7176,19750801,西藏自治区,4100,山坡流水沟旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854656.jpg,,,,,,,,,, +西藏千里光,Senecio tibeticus,魏来、郝加琛,15370,20150728,西藏,3977,路边山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0025944.jpg,,,,,,,,,, +三尖千里光,Senecio tricuspis,康藏植物考察队,10-2827,20100826,云南省,3900,溪边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053494.jpg,,,,,,,,,, +三尖千里光,Senecio tricuspis,青藏队,12996,19830819,四川省,3400,山坡Abies 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776339.jpg,,,,,,,,,, +欧洲千里光,Senecio vulgaris,"刘正宇,张军等",RQHZ06094,20150817,重庆市,1343,黄壤 草丛 院坝,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115272.jpg,,,,,,,,,, +欧洲千里光,Senecio vulgaris,Jung-Hyun Kim & Sun-Yu Kim,KIMJH14-00018,20140826,,10,around lake,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115222.jpg,,,,,,,,,, +岩生千里光,Senecio wightii,赵佐成,3383,19931015,四川省,1900,阳处 山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909630.jpg,,,,,,,,,, +岩生千里光,Senecio wightii,尹文清,58009,,云南省,,山脚沼泽水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835982.jpg,,,,,,,,,, +岩生千里光,Senecio wightii,莫华,3179,20030925,贵州省,850,沟谷浅水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776994.jpg,,,,,,,,,, +,Senna occidentalis,C.O.Levine,s.n.,19170928,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01603537.jpg,,,,,,,,,, +,Senna occidentalis,E.Bruce Nelson,4246,19710305,,10,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598201.jpg,,,,,,,,,, +,Senna occidentalis,ARAKI,s.n.,,台湾省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01578045.jpg,,,,,,,,,, +,Senna tora,ARAKI,s.n.,,台湾省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01578061.jpg,,,,,,,,,, +决明,Senna tora,周联选,11620,20131023,广东省,0,路旁,海边,,,https://image.cvh.ac.cn/files/l/KUN/1270731.jpg,,,,,,,,,, +决明,Senna tora,陶德定,87017,19870910,云南省,780,石灰岩残存老林,坡脚,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0622092.jpg,,,,,,,,,, +光叶绢蒿,Seriphidium aucheri,任宪威,,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005030.jpg,,,,,,,,,, +光叶绢蒿,Seriphidium aucheri,刘海源,234,19860913,新疆,1800,农田边,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027807.jpg,,,,,,,,,, +短叶绢蒿,Seriphidium brevifolium,"张洪军, 许惠军",ZHANG2016HC205,20160706,甘肃,1786,温带灌木、半灌木荒漠植被,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454328.jpg,,,,,,,,,, +短叶绢蒿,Seriphidium brevifolium,郝加琛,XZ14494,20140724,西藏自治区,3900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0039176.jpg,,,,,,,,,, +聚头绢蒿,Seriphidium compactum,"近田文弘,郎楷永,杨戈",368,19870901,新疆维吾尔自治区,1800,溪边 干草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01197662.jpg,,,,,,,,,, +聚头绢蒿,Seriphidium compactum,,s.n.,19580803,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00457464.jpg,,,,,,,,,, +聚头绢蒿,Seriphidium compactum,T.P.Wang,6276,19361006,青海省,3200,in weedy plain,,有花无果,https://image.cvh.ac.cn/files/l/PE/00457462.jpg,,,,,,,,,, +苍绿绢蒿,Seriphidium fedtschenkoanum,杨昌友,750768,19750818,新疆维吾尔自治区,2300,河边砾石地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836381.jpg,,,,,,,,,, +苍绿绢蒿,Seriphidium fedtschenkoanum,甘肃草原队,s.n.,19820700,甘肃省,0~3700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617610.jpg,,,,,,,,,, +费尔干绢蒿,Seriphidium ferganense,新疆综合考察队,11,19590421,新疆维吾尔自治区,1800,砾石洪积扇中部,,无花无果,https://image.cvh.ac.cn/files/l/PE/00457492.jpg,,,,,,,,,, +费尔干绢蒿,Seriphidium ferganense,托孜,780434,1978.6.1,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00040163.jpg,,,,,,,,,, +费尔干绢蒿,Seriphidium ferganense,托孜,780434,1978618,,2500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20020736.jpg,,,,,,,,,, +纤细绢蒿,Seriphidium gracilescens,,塔西0076,19590705,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772174.jpg,,,,,,,,,, +纤细绢蒿,Seriphidium gracilescens,新疆队,472,19920820,新疆维吾尔自治区 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617619.jpg,,,,,,,,,, +高原绢蒿,Seriphidium grenardii,新疆综合考察队,k-89,19590513,新疆维吾尔自治区,2600,昆仓山坡前山带,黄土山梁北4度,,无花无果,https://image.cvh.ac.cn/files/l/PE/00457524.jpg,,,,,,,,,, +高原绢蒿,Seriphidium grenardii,,s.n.,,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617630.jpg,,,,,,,,,, +伊塞克绢蒿,Seriphidium issykkulense,林有润,74653,19740802,新疆维吾尔自治区,,丘陵干旱山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00457536.jpg,,,,,,,,,, +伊塞克绢蒿,Seriphidium issykkulense,陈昌笃、张立运,79-211,19790704,新疆维吾尔自治区 ,0~1000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617644.jpg,,,,,,,,,, +昆仑绢蒿,Seriphidium korovinii,"李安仁,朱家楠",8443,19580919,新疆维吾尔自治区,3000,山坡 阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00457569.jpg,,,,,,,,,, +蒙青绢蒿,Seriphidium mongolorum,青甘队,141,19590613,青海省,3000,沙质戈壁滩,,无花无果,https://image.cvh.ac.cn/files/l/PE/00457589.jpg,,,,,,,,,, +蒙青绢蒿,Seriphidium mongolorum,王风翔,23,19820704,甘肃省,0~3500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617666.jpg,,,,,,,,,, +高山绢蒿,Seriphidium rhodanthum,陈又生,13-2265,20130902,新疆维吾尔自治区,,荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920000.jpg,,,,,,,,,, +伊犁绢蒿,Seriphidium transiliense,"近田文弘,郎楷永",285,19870819,新疆维吾尔自治区,900,干坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01197668.jpg,,,,,,,,,, +伊犁绢蒿,Seriphidium transiliense,青甘队,1307,19581116,甘肃省,1000,沙滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00457826.jpg,,,,,,,,,, +滇麻花头,Serratula forrestii,攀枝花苏铁考察队,542,20100916,四川省,1637,灌草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882676.jpg,,,,,,,,,, +滇麻花头,Serratula forrestii,中甸队,2230,19620920,云南省,1800,江边坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00516302.jpg,,,,,,,,,, +滇麻花头,Serratula forrestii,M.I'abbe Delavay,4723,18881000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617823.jpg,,,,,,,,,, +,Sesbania bispinosa,,12545,19761024,四川省,1100,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/00327815.jpg,,,,,,,,,, +,Sesbania bispinosa,Y.Tsiang,12314,19330400,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00214339.jpg,,,,,,,,,, +,Sesbania bispinosa,百色队,1342,19551209,广西壮族自治区,,旱田中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00214338.jpg,,,,,,,,,, +多毛西风芹,Seseli delavayi,中苏队,s.n.,19581220,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01941363.jpg,,,,,,,,,, +多毛西风芹,Seseli delavayi,李鸣冈,148,19390923,云南省 ,2200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0461748.jpg,,,,,,,,,, +竹叶西风芹,Seseli mairei,"H.Li,S.X.Yang,R.Li etc.",797,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090248.jpg,,,,,,,,,, +竹叶西风芹,Seseli mairei,攀枝花苏铁考察队,553,20100915,四川省,1980,灌草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879646.jpg,,,,,,,,,, +西藏西风芹,Seseli nortonii,,570,19590628,西藏自治区,3900,河边石隙,,无花无果,https://image.cvh.ac.cn/files/l/PE/00755340.jpg,,,,,,,,,, +,Seseli purpureovaginatum,"王东超,杨大松,张春林",YangYP-Q-5095,20110911,西藏自治区,4297,河边草地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337200.jpg,,,,,,,,,, +紫鞘西风芹,Seseli purpureovaginatum,陈晓澄等,5896,20140805,西藏,4295,灌林山顶,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00021281.jpg,,,,,,,,,, +紫鞘西风芹(紫鞘邪蒿),Seseli purpureovaginatum,侯元同,郭成勇,侯春丽,201605267-1,20160501,四川省,1975.9,石壁瀑布下,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0025477.jpg,,,,,,,,,, +粗糙西风芹,Seseli squarrulosum,攀枝花苏铁考察队,554,20100916,四川省,1637,灌草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879899.jpg,,,,,,,,,, +粗糙西风芹,Seseli squarrulosum,中国科学院青甘调查队,1422,19590909,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755358.jpg,,,,,,,,,, +松叶西风芹,Seseli yunnanense,236四川任务组,1290,19711004,四川省,1500,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00755373.jpg,,,,,,,,,, +松叶西风芹,Seseli yunnanense,毛品一,2039,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755388.jpg,,,,,,,,,, +西南莩草,Setaria forbesiana,巴山采集队,3336,20100726,陕西省,616,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066330.jpg,,,,,,,,,, +西南莩草,Setaria forbesiana,川黔队,697,19560621,重庆市,230,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049090.jpg,,,,,,,,,, +西南莩草,Setaria forbesiana,川黔队,1825,19561012,贵州省,1400,山坡 阳 草地 灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049089.jpg,,,,,,,,,, +金色狗尾草,Setaria glauca,陈全胜,CF-0007-180,20170825,内蒙古自治区,462,碱化草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246931.jpg,,,,,,,,,, +金色狗尾草,Setaria glauca,"H.Li,S.X.Yang,R.Li etc.",1125,20021111,云南省,2530,林(中)下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109565.jpg,,,,,,,,,, +金色狗尾草,Setaria glauca,郭成勇,20064-294-8,20060817,山东省,250,山坡湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089531.jpg,,,,,,,,,, +间序狗尾草,Setaria intermedia,罗忠华,刘长铭,鲁成荣,李绍昆,JDNR09024,20091012,云南,1186,干热河谷草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1404116.jpg,,,,,,,,,, +间序狗尾草,Setaria intermedia,彭华,1680,19931029,云南省,1130,田野中,,有果无花,https://image.cvh.ac.cn/files/l/KUN/318413.jpg,,,,,,,,,, +间序狗尾草,Setaria intermedia,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00014020.jpg,,,,,,,,,, +褐毛狗尾草,Setaria pallidifusca,"李振宇,闫丽春,农必明,李东方",1405,19981024,广西壮族自治区,850,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01981424.jpg,,,,,,,,,, +褐毛狗尾草,Setaria pallidifusca,"王印政,彭华,邓德山等",3936,19981015,云南省,1690,山地 路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01554689.jpg,,,,,,,,,, +褐毛狗尾草,Setaria pallidifusca,陇西山考察队,197,19910520,福建省,,路边 草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01549989.jpg,,,,,,,,,, +棕叶狗尾草,Setaria palmifolia,"川西队,关克俭,王文采等",2504,19630820,四川省,750,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093245.jpg,,,,,,,,,, +棕叶狗尾草,Setaria palmifolia,S.T.Blake,14278,19400629,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023096.jpg,,,,,,,,,, +棕叶狗尾草,Setaria palmifolia,北京队,895866,19890603,广西壮族自治区,,山坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981427.jpg,,,,,,,,,, +皱叶狗尾草,Setaria plicata,Liu Yanchun,149,20070806,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089498.jpg,,,,,,,,,, +皱叶狗尾草,Setaria plicata,彭镜毅,6310,19831216,台湾省,1700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089441.jpg,,,,,,,,,, +皱叶狗尾草,Setaria plicata,红水河植物考察队,388,19890507,广西壮族自治区,800,山地、山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981432.jpg,,,,,,,,,, +,Setaria viridis subsp. pycnocoma,周口店采集队,105,20080927,北京市,140,草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112066.jpg,,,,,,,,,, +巨大狗尾草,Setaria viridis subsp. pycnocoma,徐文斌,郭一敏,SHI-2009484,20090825,新疆,500,农区边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1404388.jpg,,,,,,,,,, +巨大狗尾草,Setaria viridis subsp. pycnocoma,杨金祥,4767,1984/9/6,陕西,1050,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0451981.jpg,,,,,,,,,, +,Setaria viridis subsp. viridis,李盛兰,GanQL937,20170724,湖北,566,路边草丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454811.jpg,,,,,,,,,, +狗尾草,Setaria viridis subsp. viridis,黄土队,4106,1985/7/31,宁夏,2200,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0461330.jpg,,,,,,,,,, +狗尾草 (原亚种),Setaria viridis subsp. viridis,谢登峰、付筱,2028721,20190920,四川,4704,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/02028721.jpg,,,,,,,,,, +云南狗尾草,Setaria yunnanensis,"李振宇,闫丽春,农必明,李东方",1465,19981025,广西壮族自治区,850,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01981434.jpg,,,,,,,,,, +云南狗尾草,Setaria yunnanensis,刘林翰等,16569,19631105,湖南省,300,丘陵 路边 平地 密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01645124.jpg,,,,,,,,,, +云南狗尾草,Setaria yunnanensis,青藏队,14579,19830909,四川省,2750,河谷灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00638997.jpg,,,,,,,,,, +,Shuteria involucrata,M.K.Li,1569,19391018,云南省,1250,Mt. grassy slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/00214453.jpg,,,,,,,,,, +,Shuteria involucrata,贾敏如,,19640324,四川省,500,向阳坡地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00214443.jpg,,,,,,,,,, +西南宿苞豆,Shuteria vestita,北京队,890774,19890505,广西壮族自治区,350,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996853.jpg,,,,,,,,,, +西南宿苞豆,Shuteria vestita,,24,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00463786.jpg,,,,,,,,,, +西南宿苞豆,Shuteria vestita,青藏队,866,19810610,云南省,1950,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00327817.jpg,,,,,,,,,, +伏毛山莓草,Sibbaldia adpressa,PE西藏队,PE6105,20170907,西藏自治区,4398,草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330027.jpg,,,,,,,,,, +伏毛山莓草,Sibbaldia adpressa,"刘冰,刘夙",674,20070523,内蒙古自治区,1428,砾石质典型草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039603.jpg,,,,,,,,,, +伏毛山莓草,Sibbaldia adpressa,N.et V.Ikonnikov-Galitzky,1459,19280901,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01683069.jpg,,,,,,,,,, +楔叶山莓草,Sibbaldia cuneata,FLPH Tibet Expedition,12-1411,20120917,西藏自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966941.jpg,,,,,,,,,, +楔叶山莓草,Sibbaldia cuneata,杨永昌,1235,19650721,青海省,5100,流石滩顶部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834768.jpg,,,,,,,,,, +楔叶山莓草,Sibbaldia cuneata,杨金祥,1069,19590706,陕西省,2550,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834763.jpg,,,,,,,,,, +光叶山莓草,Sibbaldia glabriuscula,青藏补点组,751351,19750812,西藏自治区,3900,冰川,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948314.jpg,,,,,,,,,, +光叶山莓草,Sibbaldia glabriuscula,T.T.Yu,19788,,云南省,4300,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948312.jpg,,,,,,,,,, +白叶山莓草,Sibbaldia micropetala,,12347,19760720,四川省,2500,山坡草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01818352.jpg,,,,,,,,,, +白叶山莓草,Sibbaldia micropetala,"张永田,郞楷永",1191,19650731,西藏自治区,3100,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948360.jpg,,,,,,,,,, +白叶山莓草,Sibbaldia micropetala,毛品一,982,19520523,云南省,3000,斜坡沙石地干燥,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948350.jpg,,,,,,,,,, +五叶山莓草,Sibbaldia pentaphylla,,175,19590606,西藏自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948389.jpg,,,,,,,,,, +五叶山莓草,Sibbaldia pentaphylla,王启无,68910,19350800,云南省,3700,mt.slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948387.jpg,,,,,,,,,, +五叶山莓草,Sibbaldia pentaphylla,Harry Smith,12558,19340930,四川省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948384.jpg,,,,,,,,,, +短蕊山莓草,Sibbaldia perpusilloides,青藏队补点组,751346,19750812,西藏自治区,3800,岩生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948399.jpg,,,,,,,,,, +短蕊山莓草,Sibbaldia perpusilloides,T.T.Yu,19376,19380713,云南省,4100,Upon precipitous rock,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948394.jpg,,,,,,,,,, +短蕊山莓草,Sibbaldia perpusilloides,G.Forrest,26836,19240000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0343185.jpg,,,,,,,,,, +显脉山莓草,Sibbaldia phanerophlebia,,255,19590609,西藏自治区,3750,山坡路边石隙,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948401.jpg,,,,,,,,,, +显脉山莓草,Sibbaldia phanerophlebia,毛品一,1136,19520615,云南省,3500,草地斜坡润湿,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00020821.jpg,,,,,,,,,, +显脉山莓草,Sibbaldia phanerophlebia,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20629,20200625,西藏,3866,高山灌丛,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1551931.jpg,,,,,,,,,, +隐瓣山莓草,Sibbaldia procumbens var. aphanopetala,PE西藏考察队,7101,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333012.jpg,,,,,,,,,, +隐瓣山莓草,Sibbaldia procumbens var. aphanopetala,D. E. Boufford et al.,42223,20100724,四川省,4570,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01928008.jpg,,,,,,,,,, +隐瓣山莓草,Sibbaldia procumbens var. aphanopetala,"李良千,王忠涛,杜玉芬,卫然",304,20110915,甘肃省,3400,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914223.jpg,,,,,,,,,, +垫状山莓草,Sibbaldia pulvinata,毛品一,438,19560910,云南省,3400,石岩上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01159788.jpg,,,,,,,,,, +垫状山莓草,Sibbaldia pulvinata,George Forrest,20249,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948494.jpg,,,,,,,,,, +紫花山莓草(原变种),Sibbaldia purpurea var. purpurea,郭本兆、王为义,23025,19770816,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/67740.jpg,,,,,,,,,, +,Sibbaldia sikkimensis,"陆露,Peter W Fritsch,张永彪,张明英,陈小涛",WH-2013-207,20130916,云南省,2500,常绿阔叶林季风性沟谷雨林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1322216.jpg,,,,,,,,,, +,Sibbaldia sikkimensis,"Handel-Mazzetti, Heinrich",8964,18-Jun-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00010767.jpg,,,,,,,,,, +纤细山莓草,Sibbaldia tenuis,姜恕等,8990,19610609,四川省,3600,Picea purpurea 火烧迹地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948572.jpg,,,,,,,,,, +纤细山莓草,Sibbaldia tenuis,中国科学院青甘调查队,2605,19600618,青海省,2550,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948571.jpg,,,,,,,,,, +四蕊山莓草,Sibbaldia tetrandra,"张新时,郭柯",天山-164,19860731,新疆维吾尔自治区,,倒石堆上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097475.jpg,,,,,,,,,, +四蕊山莓草,Sibbaldia tetrandra,,s.n.,19590903,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01806063.jpg,,,,,,,,,, +四蕊山莓草,Sibbaldia tetrandra,刘尚武,150,19650702,青海省,4500,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490333.jpg,,,,,,,,,, +窄叶鲜卑花,Sibiraea angustata,PE西藏队,PE5214,20170826,西藏自治区,4270,林下灌层,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330076.jpg,,,,,,,,,, +窄叶鲜卑花,Sibiraea angustata,"洪德元,潘开玉,徐超,刘彬彬",3272,20170831,四川省,3254,roadsides,,无花有果,https://image.cvh.ac.cn/files/l/PE/02108758.jpg,,,,,,,,,, +鲜卑花,Sibiraea laevigata,唐宇丹等,BS004(2006-2580),20061005,西藏自治区,4223,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093337.jpg,,,,,,,,,, +鲜卑花,Sibiraea laevigata,,82,19640616,青海省,4300,山地阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083050.jpg,,,,,,,,,, +毛叶鲜卑花,Sibiraea tomentosa,T.T.Yu,11321,19370517,云南省,2500,rocky hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948803.jpg,,,,,,,,,, +,Sibiraea tomentosa,"陈文允,于文涛,黄永江",CYH110,20100912,四川省,3673,路边荒坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1317400.jpg,,,,,,,,,, +黄花稔,Sida acuta,李振宇等,11606,20090414,广东省,,铁路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063404.jpg,,,,,,,,,, +黄花稔,Sida acuta,"K.R.McDonald,McDonald K.R.",KRM10774,20110412,,,woodland on low hills granite,,有花有果,https://image.cvh.ac.cn/files/l/PE/02038309.jpg,,,,,,,,,, +黄花稔,Sida acuta,Anonymous,Q1,197311,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999958.jpg,,,,,,,,,, +桤叶黄花稔,Sida alnifolia var. alnifolia,凌云普查队,4.51E+14,20130720,广西壮族自治区,1176,草丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI063308.jpg,,,,,,,,,, +桤叶黄花棯(原变种),Sida alnifolia var. alnifolia,广西中药资源普查队,19,19830911,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI054718.jpg,,,,,,,,,, +心叶黄花稔,Sida cordifolia,李振宇等,11651,20090416,广东省,,路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063402.jpg,,,,,,,,,, +心叶黄花稔,Sida cordifolia,G.N.Batianoff,505192,20050524,,,on east coast of Curtis Island,,有花有果,https://image.cvh.ac.cn/files/l/PE/02038648.jpg,,,,,,,,,, +心叶黄花稔,Sida cordifolia,Anonymous,s.n.,197311,广西壮族自治区,,台地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999956.jpg,,,,,,,,,, +拔毒散,Sida szechuensis,覃海宁等,2129,19981104,广西壮族自治区,1300,山地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01999980.jpg,,,,,,,,,, +拔毒散,Sida szechuensis,J.I.Jeon et al.,SI1230,20100809,四川省,1446,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01932330.jpg,,,,,,,,,, +拔毒散,Sida szechuensis,蓝顺彬,238,19840916,云南省,2200,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01611199.jpg,,,,,,,,,, +毛梗 莶,Sigesbeckia glabrescens,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T290,20160918,西藏自治区,891,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233412.jpg,,,,,,,,,, +毛梗 莶,Sigesbeckia glabrescens,Taku Miyazaki,810086,20081008,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054674.jpg,,,,,,,,,, +毛梗 莶,Sigesbeckia glabrescens,覃海宁等,2369,19981107,广西壮族自治区,650,山地,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997587.jpg,,,,,,,,,, +豨莶,Sigesbeckia orientalis,"李渤生,程树志",831,19820912,西藏自治区,2000~2400,林边常见杂草,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067778.jpg,,,,,,,,,, +豨莶,Sigesbeckia orientalis,云台山采集队,1282,20090822,河南省,600~700,路边草丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/02034807.jpg,,,,,,,,,, +豨莶,Sigesbeckia orientalis,赵佐成,3530,19931016,四川省,2200,地边阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018025.jpg,,,,,,,,,, +腺梗 莶,Sigesbeckia pubescens,"石硕,梁文达",SZ4265,20141006,河北省,401,山坡阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034958.jpg,,,,,,,,,, +腺梗 莶,Sigesbeckia pubescens,云台山采集队,119,20080922,河南省,,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026176.jpg,,,,,,,,,, +腺梗 莶,Sigesbeckia pubescens,赤峰采集队,2-180,20080807,内蒙古自治区,,路边湿润处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02012606.jpg,,,,,,,,,, +腺萼蝇子草,Silene adenocalyx,PE西藏队,PE6730,20170916,西藏自治区,3568,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309337.jpg,,,,,,,,,, +腺萼蝇子草,Silene adenocalyx,四川植被组,7657,1974-8 2,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0020291.jpg,,,,,,,,,, +腺萼蝇子草,Silene adenocalyx,魏来、何毅,BNUXZ2016363,20160721,西藏,3000,路旁草甸,,,https://image.cvh.ac.cn/files/l/BNU/0028278.jpg,,,,,,,,,, +掌脉蝇子草,Silene asclepiadea var. asclepiadea,,388,19790626,四川省,4000,森林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1223027.jpg,,,,,,,,,, +掌脉蝇子草,Silene asclepiadea var. asclepiadea,尹志坚,王泽欢,陈丽,2168,20090913,云南省,2600,roadsides forest margins,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220372.jpg,,,,,,,,,, +掌脉蝇子草,Silene asclepiadea var. asclepiadea,联大,706,19380915,云南省 ,3900,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0137351.jpg,,,,,,,,,, +丛林蝇子草,Silene asclepiadea var. dumicola,俞德俊,12936,19370828,四川省,2900,林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00558357.jpg,,,,,,,,,, +栗色蝇子草,Silene atrocastanea,George Forrest,11368,19130900,云南省,4000~4333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00558363.jpg,,,,,,,,,, +,Silene atrocastanea,李爱花,雷立公等,SCSB-A-000167,20060916,云南,3190,山上路边,攀援草本,,https://image.cvh.ac.cn/files/l/KUN/1239379.jpg,,,,,,,,,, +阿扎蝇子草,Silene atsaensis,PE西藏队,PE5543,20170831,西藏自治区,4352,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309461.jpg,,,,,,,,,, +阿扎蝇子草,Silene atsaensis,,309,19790702,四川省,4000,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1223076.jpg,,,,,,,,,, +,Silene baccifera,PE西藏队,PE5898,20170905,西藏自治区,3020~3497,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309320.jpg,,,,,,,,,, +,Silene baccifera,Y.Tateishi et al.,17696,19840816,台湾省,2100~2350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458600.jpg,,,,,,,,,, +,Silene baccifera,鲁成荣,谢有能等,JD041,20070918,云南,2467,亚高山草甸草甸内,,,https://image.cvh.ac.cn/files/l/KUN/1239396.jpg,,,,,,,,,, +巴塘蝇子草,Silene batangensis,横断山队植被组,4255,19830622,四川省,2960,干旱河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268485.jpg,,,,,,,,,, +巴塘蝇子草,Silene batangensis,倪志诚等,1918,19810901,西藏自治区,3400,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00558375.jpg,,,,,,,,,, +双舌蝇子草,Silene bilingua,俞德俊,9494,19370809,云南省,3400,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00558385.jpg,,,,,,,,,, +双舌蝇子草,Silene bilingua,姜恕,5208,19610615,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00558379.jpg,,,,,,,,,, +,Silene bilingua,陈世龙,高庆波,张发起,付鹏程,邢睿,ChenSL1654,20110820,青海,3150,沙棘灌丛,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1239446.jpg,,,,,,,,,, +丛生蝇子草,Silene caespitella,西藏中草药普查队,1666,19720831,西藏自治区,3600,路边沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01187854.jpg,,,,,,,,,, +丛生蝇子草,Silene caespitella,,663,19790712,四川省,4000,山坡,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1223081.jpg,,,,,,,,,, +,Silene caespitella,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-1422,20080729,西藏,4418,高山灌丛,流石滩,直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1239448.jpg,,,,,,,,,, +心瓣蝇子草,Silene cardiopetala,中甸队,668,19620810,云南省,2400,"疏林下,草丛中",,无花无果,https://image.cvh.ac.cn/files/l/PE/00558736.jpg,,,,,,,,,, +心瓣蝇子草,Silene cardiopetala,俞德俊,12890,19370827,四川省,3000,among thickets on open slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00558732.jpg,,,,,,,,,, +心瓣蝇子草,Silene cardiopetala,"周洪富,粟和毅",110619,19640929,重庆市,1200,"路旁,屋侧土坎边",,有花无果,https://image.cvh.ac.cn/files/l/PE/00558729.jpg,,,,,,,,,, +克什米尔蝇子草,Silene cashmeriana,西藏中草药普查队,1470,19720824,西藏自治区,2700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/80661.jpg,,,,,,,,,, +克什米尔蝇子草,Silene cashmeriana,魏来、何毅,BNUXZ2016109,20160717,西藏,3750~4100,山坡灌草丛,,,https://image.cvh.ac.cn/files/l/BNU/0028276.jpg,,,,,,,,,, +,Silene chodatii var. chodatii,"Rock, Joseph Francis Charles",6431,22-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00301709.jpg,,,,,,,,,, +矮球萼蝇子草,Silene chodatii var. pygmaea,中甸队,1853,19620901,云南省,2300,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0513623.jpg,,,,,,,,,, +,Silene chodatii var. pygmaea,"Kingdon-Ward, Francis",4964,1-Oct-21,,,,,,https://image.cvh.ac.cn/files/l/E/E00301708.jpg,,,,,,,,,, +中甸蝇子草,Silene chungtienensis,D.E.Boufford et al.,35167,20060723,云南省,3780~3930,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868940.jpg,,,,,,,,,, +中甸蝇子草,Silene chungtienensis,白龙江考察队,1899,19990604,甘肃省,2500,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556405.jpg,,,,,,,,,, +麦瓶草,Silene conoidea,陈全胜,CF06-4084,20180627,内蒙古自治区,1668,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247238.jpg,,,,,,,,,, +麦瓶草,Silene conoidea,236任务组,41,19720702,四川省,2600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02086366.jpg,,,,,,,,,, +道孚蝇子草,Silene dawoensis,F.T.Wang,21682,19300709,四川省,2000,on rocky mt.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00558891.jpg,,,,,,,,,, +,Silene dawoensis,何兴金,冯图,廖晨阳,袁书杰,SCU-080316,20080822,四川,2819,路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1239492.jpg,,,,,,,,,, +道孚蝇子草,Silene dawoensis,吴征镒,4409,19760810,云南省,3630,河谷,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0513663.jpg,,,,,,,,,, +西南蝇子草,Silene delavayi,"孙航,李新辉,陈林杨等",SunH-07ZX-3158,20101005,云南省,2546,"On the slope near a river,Slope",,有花无果,https://image.cvh.ac.cn/files/l/PE/02005787.jpg,,,,,,,,,, +西南蝇子草,Silene delavayi,横断山队植被组,4952,19830810,四川省,4000~4200,(亚)高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268488.jpg,,,,,,,,,, +灌丛蝇子草,Silene dumetosa,中甸队,1780,19620831,云南省,3950,矮杜鹃灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934147.jpg,,,,,,,,,, +,Silene dumetosa,杨青松,星耀武,苏涛,ZhouZK-07ZX-0333,20080911,云南,3016,针阔叶混交林林缘草坡,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1239499.jpg,,,,,,,,,, +无鳞蝇子草,Silene esquamata,北京所横断山队,3385,19810821,云南省,2900~3900,高山栎林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01268489.jpg,,,,,,,,,, +无鳞蝇子草,Silene esquamata,王启无,66313,19350900,西藏自治区,3000,dry slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00558947.jpg,,,,,,,,,, +坚硬女娄菜,Silene firma,赵常明,EX0212,20070830,湖北省,1100,阔叶林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01789088.jpg,,,,,,,,,, +坚硬女娄菜,Silene firma,S.Saito,1411,19290610,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01698968.jpg,,,,,,,,,, +坚硬女娄菜,Silene firma,刘冰,339,20060826,天津市,500,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01459050.jpg,,,,,,,,,, +绳子草,Silene fortunei,云台山采集队,55,20080921,河南省,1032,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036431.jpg,,,,,,,,,, +绳子草,Silene fortunei,"李良千,王忠涛,杜玉芬,卫然",270,20110914,甘肃省,1841,山谷沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01914159.jpg,,,,,,,,,, +绳子草,Silene fortunei,Chien-I Huang et al.,2570,20060628,台湾省,750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873798.jpg,,,,,,,,,, +隐瓣蝇子草,Silene gonosperma,PE西藏考察队,8057,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333216.jpg,,,,,,,,,, +隐瓣蝇子草,Silene gonosperma,,s.n.,19490803,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01698986.jpg,,,,,,,,,, +隐瓣蝇子草,Silene gonosperma,D.E.Boufford et al.,34059,20050803,四川省,4785~4900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579605.jpg,,,,,,,,,, +细蝇子草,Silene gracilicaulis,"D.E.Boufford,L.Y.Chen,X.H.Li etc.",42742,20100809,四川省,3610~3630,heavily grazed meadow and conspicuous limestone outcrop with nearly vertical sides and front edge rising from meadow with stony rubble at base along steepest sides on slope and at base of limestone,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044305.jpg,,,,,,,,,, +细蝇子草,Silene gracilicaulis,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",41290,20090729,西藏自治区,3700~3900,Picea forests on slopes wet meadow-like areas periodically flooded depressions sandy soil and wet grassy areas,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036652.jpg,,,,,,,,,, +禾叶蝇子草,Silene graminifolia,"清水建美,近田文弘等",442,19910731,新疆维吾尔自治区,2400,云杉林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467557.jpg,,,,,,,,,, +大花蝇子草,Silene grandiflora,M.Iabbe Delavay,2488,18861018,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922522.jpg,,,,,,,,,, +大花蝇子草,Silene grandiflora,"朱鑫鑫, 林庶, 胡梦杰",ZXX191051,20190905,云南,2540,亚热带,山坡灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484996.jpg,,,,,,,,,, +多裂腺毛蝇子草,Silene herbilegorum,唐昌林,郭友好,1855,1975/7/29,四川省,3750,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0307939.jpg,,,,,,,,,, +多裂腺毛蝇子草(花未全开,花瓣未外露;存,Silene herbilegorum,彭玉兰、余奇、李林霖,THP-KD-1409,20170617,四川,3768~4150,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244227.jpg,,,,,,,,,, +喜马拉雅蝇子草,Silene himalayensis,段长虹,Dch0429,20140725,山西省,2881,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039487.jpg,,,,,,,,,, +喜马拉雅蝇子草,Silene himalayensis,白水江考察队,491,20060627,甘肃省,3300,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841792.jpg,,,,,,,,,, +喜马拉雅蝇子草,Silene himalayensis,鄂神农架队,s.n.,,湖北省,0,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00991707.jpg,,,,,,,,,, +狭果蝇子草(原变种),Silene huguettiae var. huguettiae,谢登峰、蔡竞、秦换换,SC-00-003-A-032,20200906,四川,3227.64m,高山草原山坡,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02063466.jpg,,,,,,,,,, +印度蝇子草,Silene indica var. indica,青藏队,3782,19740731,西藏自治区,0,沟边砂砾地,草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0514126.jpg,,,,,,,,,, +印度蝇子草,Silene indica var. indica,"Stainton,Sykes etc.",1848,19540717,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0514129.jpg,,,,,,,,,, +,Silene indica var. indica,"张挺, 刘成, 亚吉东",18CS17719,20180916,西藏,3569,路上方山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487420.jpg,,,,,,,,,, +山蚂蚱草,Silene jenisseensis,,雁089,19870913,山西省,2100,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01815955.jpg,,,,,,,,,, +山蚂蚱草,Silene jenisseensis,黄河队,8001,19560802,陕西省,,沟底 山坡 阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01793101.jpg,,,,,,,,,, +垫状蝇子草,Silene kantzeensis,青藏队植被组,9781,19760826,西藏自治区,4320,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01358269.jpg,,,,,,,,,, +垫状蝇子草,Silene kantzeensis,Y.C.Yang,3884,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00580221.jpg,,,,,,,,,, +垫状蝇子草,Silene kantzeensis,俞德俊,9338,19370703,云南省,4240,mt open slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00580220.jpg,,,,,,,,,, +喀拉蝇子草,Silene karaczukuri,青藏队,870917,19870807,新疆维吾尔自治区,2600,河滩灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00580222.jpg,,,,,,,,,, +,Silene karaczukuri,杨赵平,周禧林,贺冰等,LiZJ1181,20100804,新疆,4620,山间草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1239851.jpg,,,,,,,,,, +,Silene khasiana,青藏队植被组,2469,19740808,西藏自治区,2400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268471.jpg,,,,,,,,,, +,Silene khasiana,李国栋,陈建国,陈林杨,彭德力,陆覃昱,SunH-07ZX-2296,20090917,云南,3129,林下路边灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1239852.jpg,,,,,,,,,, +卡西亚蝇子草,Silene khasiana,青藏队,13116,19830820,四川省,3000~3100,山坡高山松林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0514177.jpg,,,,,,,,,, +甲拉蝇子草,Silene kialensis,魏振铎,150,1962/7/24,青海省,3450,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0170943.jpg,,,,,,,,,, +甲拉蝇子草,Silene kialensis,李馨,77841,1958/6/22,四川省,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0234991.jpg,,,,,,,,,, +,Silene kumaonensis,生态室高原组,10444,19800612,西藏自治区,3670,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268492.jpg,,,,,,,,,, +喇嘛蝇子草,Silene lamarum,T.T.Yu,7434,19370728,四川省,3900,margin of wood grassy slope,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00934156.jpg,,,,,,,,,, +喇嘛蝇子草,Silene lamarum,秦仁昌,23453,19290721,云南省,,草坝,,有花无果,https://image.cvh.ac.cn/files/l/PE/00580269.jpg,,,,,,,,,, +拉萨蝇子草,Silene lhassana,青藏队,6777,19750819,西藏自治区,4600,山坡砂砾地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00580280.jpg,,,,,,,,,, +,Silene lhassana,许炳强,童毅华,XiaNH-07zx-0526,20100929,西藏,3680,山坡草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1239857.jpg,,,,,,,,,, +丽江蝇子草,Silene lichiangensis,北京所横断山队,1847,19810721,云南省,3200,云杉林下隅见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268494.jpg,,,,,,,,,, +丽江蝇子草,Silene lichiangensis,联大,21201,19600920,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0137271.jpg,,,,,,,,,, +线瓣蝇子草,Silene lineariloba,丽江队,22750,19591008,云南省,2900,岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934158.jpg,,,,,,,,,, +线瓣蝇子草,Silene lineariloba,联大,21062,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0514209.jpg,,,,,,,,,, +线瓣蝇子草,Silene lineariloba,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191296,20190916,云南,3103,亚热带针叶林,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1485264.jpg,,,,,,,,,, +,Silene markamensis,张挺,李爱花,刘成,郭永杰,08CS677,20080913,西藏,3103,河谷山坡路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1239862.jpg,,,,,,,,,, +,Silene markamensis,费勇,孙航等,91,19900712,西藏自治区,2900,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0514222.jpg,,,,,,,,,, +黑花蝇子草,Silene melanantha,滇西北金沙江队,63-6115,19630725,云南省,3500,次生于高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00580329.jpg,,,,,,,,,, +黑花蝇子草,Silene melanantha,川经植,1584,19590805,四川省,3400,"草地,山顶,山坡",,有花无果,https://image.cvh.ac.cn/files/l/PE/00580324.jpg,,,,,,,,,, +沧江蝇子草,Silene monbeigii,罗建等,LuoJian-ML102,20090930,西藏自治区,3090,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898400.jpg,,,,,,,,,, +沧江蝇子草,Silene monbeigii,冯国楣,4990,19400628,云南省,1900,岩坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00580339.jpg,,,,,,,,,, +冈底斯山蝇子草,Silene moorcroftiana,T.Y.A.Yang et al.,13972,20010908,台湾省,2500,"Trailside,beside ditch",,有花无果,https://image.cvh.ac.cn/files/l/PE/01603303.jpg,,,,,,,,,, +冈底斯山蝇子草,Silene moorcroftiana,"李渤生,李辉,阳艺",13817,19900916,西藏自治区,4000,干旱山坡偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486988.jpg,,,,,,,,,, +木里蝇子草,Silene muliensis,T.T.Yu,7623,19370806,四川省,2800,margin of woodsrock side,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00934161.jpg,,,,,,,,,, +木里蝇子草,Silene muliensis,余奇、熊先华、李琳霖,THP-KD-3780,20170805,四川,3479~3627,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244578.jpg,,,,,,,,,, +,Silene muliensis,T. T. Yu,7623,1937/8/6,,2800,,,,https://image.cvh.ac.cn/files/l/HUH/A00236168.jpg,,,,,,,,,, +囊谦蝇子草,Silene nangqenensis,杨永昌,1211,19650719,青海省,4400,山河滩山麓 山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01699095.jpg,,,,,,,,,, +囊谦蝇子草,Silene nangqenensis,崔友文,5323,19510818,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01699091.jpg,,,,,,,,,, +纺锤根蝇子草,Silene napuligera,横断山队植被组,4697,19830726,云南省,2200,干旱河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268495.jpg,,,,,,,,,, +纺锤根蝇子草,Silene napuligera,青藏科考队,12920,19760825,西藏自治区,3900,柏树林缘石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/00580391.jpg,,,,,,,,,, +尼泊尔蝇子草,Silene nepalensis,西藏中草药普查队,590,19720627,西藏自治区,3900,森林上限,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268453.jpg,,,,,,,,,, +尼泊尔蝇子草,Silene nepalensis,M.Wakabayashi et al.,9720168,19970810,,3530,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268203.jpg,,,,,,,,,, +尼泊尔蝇子草,Silene nepalensis,杨永昌,1302,19650729,青海省,4300,草甸草原,,无花有果,https://image.cvh.ac.cn/files/l/PE/00580523.jpg,,,,,,,,,, +倒披针叶蝇子草,Silene oblanceolata,G.Forrest,13331,19140900,云南省,3667,Open stony pasture and on the ledges of cliffs on,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934164.jpg,,,,,,,,,, +,Silene oblanceolata,张昌兵,邓秀华,ZhangCB0287,20090910,四川,3450,撂荒地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1239870.jpg,,,,,,,,,, +倒披针叶蝇子草,Silene oblanceolata,冯国楣,2849,19390830,四川省,2700,岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0514384.jpg,,,,,,,,,, +,Silene otodonta,冯国楣,3720,19400508,云南省,2300,沟边山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00580668.jpg,,,,,,,,,, +,Silene otodonta,李馨,75330,19570717,四川省,2160,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00580664.jpg,,,,,,,,,, +宽叶蝇子草,Silene platyphylla var. platyphylla,BNU2015级,2-2-087,20170828,北京,1000~1200,,,有花无果,https://image.cvh.ac.cn/files/l/BJM/0239966.jpg,,,,,,,,,, +草场蝇子草,Silene platyphylla var. praticola,王启无,70689,Jun-35,云南省,2500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0149924.jpg,,,,,,,,,, +,Silene principis,孔航辉,罗江平,左雷,刘莹,YangQE3520,20111004,四川,4363,高山草坡灌丛,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1239882.jpg,,,,,,,,,, +宽瓣蝇子草,Silene principis,何业祺,王宏杰,8248,1974/9/8,四川省,2800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0300549.jpg,,,,,,,,,, +毛萼蝇子草,Silene pubicalycina,T.T.Yu,12387,19370724,云南省,3200,,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00934166.jpg,,,,,,,,,, +,Silene pubicalycina,陈世龙,高庆波,张发起,付鹏程,邢睿,ChenSL1609,20110819,青海,3520,路边流石滩,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1239887.jpg,,,,,,,,,, +,Silene pubicalycina,李晓东,张景博,徐凌翔,顾舒平,LiJ488,20090918,四川,3818,高山草甸,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1239888.jpg,,,,,,,,,, +毛柱蝇子草,Silene pubistyla,青藏队植被组,12935,19760702,西藏自治区,3000,河岸洪积阶地,砂砾质,,有花有果,https://image.cvh.ac.cn/files/l/PE/00934452.jpg,,,,,,,,,, +匍生绳子草,Silene repens,Prof.SY Hu,19568,19840729,内蒙古自治区,,conspicuous in the landscape,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109104.jpg,,,,,,,,,, +匍生绳子草,Silene repens,段长虹,Dch0347,20140715,山西省,1716,山坡溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035144.jpg,,,,,,,,,, +匍生绳子草,Silene repens,云台山采集队,1029,20090800,河南省,,山地路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022113.jpg,,,,,,,,,, +,Silene rosiflora,张绍云,仇亚,胡启和,YNS1251,20121005,云南,1513,公路边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1239904.jpg,,,,,,,,,, +粉花蝇子草,Silene rosiflora,俞德浚,10144,19370902,云南省,3000,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0514473.jpg,,,,,,,,,, +粉花蝇子草,Silene rosiflora,朱官正,李馨,75330,19570717,四川省,2160,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00220182.jpg,,,,,,,,,, +红萼蝇子草,Silene rubricalyx,C.W.Wang,66461,19350900,西藏自治区,3600,Foot of mt.Bare Rocks Ices,,有花无果,https://image.cvh.ac.cn/files/l/PE/01699191.jpg,,,,,,,,,, +红萼蝇子草,Silene rubricalyx,王启无,66461,19350900,四川省,3600,foot of mt.rare rocks ices,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0531685.jpg,,,,,,,,,, +红萼蝇子草,Silene rubricalyx,C. W. Wang,66461,1935/09/,,3600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0035404.jpg,,,,,,,,,, +柳叶蝇子草,Silene salicifolia,蒋兴麟,37517,19531014,四川省,2650,岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934168.jpg,,,,,,,,,, +,Silene salicifolia,孔航辉,罗江平,左雷,刘莹,YangQE3518,20111004,四川,4363,高山草坡灌丛,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1239905.jpg,,,,,,,,,, +岩生蝇子草,Silene scopulorum,尹志坚等,1215,20090715,云南省,3900,"roadsides,grassy slope",,有花有果,https://image.cvh.ac.cn/files/l/PE/01922276.jpg,,,,,,,,,, +岩生蝇子草,Silene scopulorum,Y.W.Tsui,s.n.,19480000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00581113.jpg,,,,,,,,,, +大子蝇子草,Silene stewartiana,山西植物所调查队,652,19530822,山西省,2600~2700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01521937.jpg,,,,,,,,,, +大子蝇子草,Silene stewartiana,George Forrest,6249,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00581129.jpg,,,,,,,,,, +大子蝇子草,Silene stewartiana,T.T.Yu,3766,1934,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0149982.jpg,,,,,,,,,, +藏蝇子草,Silene subcretacea,徐朗然,501,1982/8/16,西藏自治区,3800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0435826.jpg,,,,,,,,,, +,Silene subcretacea,"Walton, H.J.",105,4-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00301704.jpg,,,,,,,,,, +藏蝇子草,Silene subcretacea,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201787,20200815,西藏,3950,荒坡上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509312.jpg,,,,,,,,,, +糙叶蝇子草,Silene trachyphylla,D.E.Boufford et al.,29562,20000720,西藏自治区,3080,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579804.jpg,,,,,,,,,, +糙叶蝇子草,Silene trachyphylla,北京所横断山队,2738,19810809,云南省,1900,江边人工单起的石滩上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268498.jpg,,,,,,,,,, +糙叶蝇子草,Silene trachyphylla,崔友文,5102,19510805,四川省,,"山坡,灌木下",,有花无果,https://image.cvh.ac.cn/files/l/PE/00581394.jpg,,,,,,,,,, +粘萼蝇子草,Silene viscidula,PE西藏队,PE5043,20170825,西藏自治区,3749,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309307.jpg,,,,,,,,,, +粘萼蝇子草,Silene viscidula,"刘冰,覃海宁,张宪春等",776,20070613,贵州省,1245,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01977567.jpg,,,,,,,,,, +腺毛蝇子草,Silene yeti,PE西藏队,PE6413,20170911,西藏自治区,2969,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309310.jpg,,,,,,,,,, +腺毛蝇子草,Silene yeti,何钜忠,539,19570802,新疆维吾尔自治区,1540,河岸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00581613.jpg,,,,,,,,,, +腺毛蝇子草,Silene yeti,贾慎修,203,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00581612.jpg,,,,,,,,,, +云南蝇子草,Silene yunnanensis,北京所横断山队,3042,19810816,云南省,2100~2400,石隙常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268500.jpg,,,,,,,,,, +云南蝇子草,Silene yunnanensis,青藏科考队,12825,19760817,西藏自治区,3800,刺柏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01187845.jpg,,,,,,,,,, +,Sinacalia caroli,白龙江考察队,817,19980726,甘肃省,2700,山地 山坡 疏林 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01556213.jpg,,,,,,,,,, +,Sinacalia caroli,"郎楷永,李良千,费勇",1263,19820824,四川省,2100~2300,东南坡银厂沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01535792.jpg,,,,,,,,,, +双花华蟹甲,Sinacalia davidii,赵佐成,1905,19931002,四川省,2700,阳处路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235152.jpg,,,,,,,,,, +双花华蟹甲,Sinacalia davidii,"倪志诚,汪永泽,次多,次旦",1371,19800826,西藏自治区,2900,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831838.jpg,,,,,,,,,, +双花华蟹甲,Sinacalia davidii,刘正宇,19669,19960815,云南省,1260,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01830201.jpg,,,,,,,,,, +华蟹甲,Sinacalia tangutica,彭定一,46359,19820826,四川省,0~2930,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0618301.jpg,,,,,,,,,, +华蟹甲,Sinacalia tangutica,杨宗汉,86207,19860813,云南省,0~3600,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0618319.jpg,,,,,,,,,, +华福花,Sinadoxa corydalifolia,杨永昌,46,19640614,青海省,4800,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/002969.jpg,,,,,,,,,, +鸡仔木,Sinoadina racemosa,王洪,7029,20040503,云南省,1200,阴坡沟谷中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01590754.jpg,,,,,,,,,, +鸡仔木,Sinoadina racemosa,王先莲,2159,20030505,贵州省,570,河谷密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01590752.jpg,,,,,,,,,, +,Sinobaijiania yunnanensis,王洪,4785,20010715,云南省,1650,石灰山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01774660.jpg,,,,,,,,,, +紫茎小芹,Sinocarum coloratum,PE西藏队,PE6699,20170914,西藏自治区,3934,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333622.jpg,,,,,,,,,, +紫茎小芹,Sinocarum coloratum,CLD-90,1194,19901012,云南省,3600,loose limestone scree,,有花无果,https://image.cvh.ac.cn/files/l/PE/01893843.jpg,,,,,,,,,, +紫茎小芹,Sinocarum coloratum,青藏队,5166,19810825,四川省,4250,湖岸草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803074.jpg,,,,,,,,,, +钝瓣小芹,Sinocarum cruciatum,张经炜,1756,19730812,西藏自治区,3700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803072.jpg,,,,,,,,,, +钝瓣小芹,Sinocarum cruciatum,,w-20,19810818,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538814.jpg,,,,,,,,,, +钝瓣小芹,Sinocarum cruciatum,青藏队,4955,19810818,四川省,4250,高山 灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132036.jpg,,,,,,,,,, +尖瓣小芹,Sinocarum cruciatum var. linearilobum,青藏队横断山队,3928,19810809,四川省,3900~4000,山沟内园 冷杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132031.jpg,,,,,,,,,, +尖瓣小芹,Sinocarum cruciatum var. linearilobum,王舍亭,3274,19610525,西藏自治区,3800,阴坡河谷内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755419.jpg,,,,,,,,,, +长柄小芹,Sinocarum dolichopodum,北京所横断山队,2267,19810729,云南省,4100~4400,高山 流石坡细质湿地常见种,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132048.jpg,,,,,,,,,, +长柄小芹,Sinocarum dolichopodum,青藏队,12722,19830808,四川省,3700,山坡 灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132047.jpg,,,,,,,,,, +长柄小芹,Sinocarum dolichopodum,"张永田,郞楷永",s.n.,19610528,西藏自治区,5200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755428.jpg,,,,,,,,,, +蕨叶小芹,Sinocarum filicinum,Anonymous,2399,19170809,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01933971.jpg,,,,,,,,,, +蕨叶小芹,Sinocarum filicinum,青藏队,4626,19740911,西藏自治区,3300,山坡高山松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00782489.jpg,,,,,,,,,, +少辐小芹,Sinocarum pauciradiatum,"程树志,李渤生",58,19820814,西藏自治区,4150,高山 草甸苔藓中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538817.jpg,,,,,,,,,, +少辐小芹,Sinocarum pauciradiatum,青藏队横断山队,5581,19810829,四川省,4500,山坡 灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132042.jpg,,,,,,,,,, +,Sinocarum pityophilum,"Forrest, George",3078,6-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00000442.jpg,,,,,,,,,, +阔鞘小芹,Sinocarum vaginatum,青藏队横断山队,4117,19810815,四川省,4300,山沟内 灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132040.jpg,,,,,,,,,, +阔鞘小芹,Sinocarum vaginatum,王汉臣,4511,19440821,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755439.jpg,,,,,,,,,, +阔鞘小芹,Sinocarum vaginatum,T.T.Yu,9032,19370715,云南省 ,4000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0461807.jpg,,,,,,,,,, +,Sinochasea trigyna,青藏队植被组,12536,19760913,西藏自治区,5300,沟谷中常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076329.jpg,,,,,,,,,, +,Sinochasea trigyna,,700,19640821,青海省,4400,阳坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01484278.jpg,,,,,,,,,, +长萼石莲,Sinocrassula ambigua,青藏队,7637,19820626,西藏自治区,1800,怒江边 岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01109778.jpg,,,,,,,,,, +长萼石莲,Sinocrassula ambigua,俞德俊,6357,19370617,四川省,2550,upon sunny & dry rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/00915281.jpg,,,,,,,,,, +长萼石莲,Sinocrassula ambigua,俞德俊,8467,19370604,云南省,2800,mt on rocls,,有花无果,https://image.cvh.ac.cn/files/l/PE/00915278.jpg,,,,,,,,,, +石莲(原变种),Sinocrassula indica var. indica,白洪兵、海仙,5333241812041165LY,20181204,云南,1637,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG010120.jpg,,,,,,,,,, +,Sinocrassula indica var. indica,"Martin, Léon & Bodinier, Emile M.",1808,18 August 1897,,,,,,https://image.cvh.ac.cn/files/l/E/E00386345.jpg,,,,,,,,,, +石莲(原变种),Sinocrassula indica var. indica,刘成;张挺;李昌洪,19CS18037,20190722,四川,2298,次生林缘,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551499.jpg,,,,,,,,,, +德钦石莲,Sinocrassula techinensis,王启无,66256,19350000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00915436.jpg,,,,,,,,,, +德钦石莲,Sinocrassula techinensis,西藏中草药普查队,4419,19720817,西藏自治区,3100,岩石缝干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00055598.jpg,,,,,,,,,, +短蕊车前紫草,Sinojohnstonia moupinensis,"Chen Zhiduan,Feng Min,Ma Xintang,Wang Meilin",960040,19960513,重庆市,1700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115521.jpg,,,,,,,,,, +短蕊车前紫草,Sinojohnstonia moupinensis,"杨红梅,郎校安,邵毅贞等",1454,20140420,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021603.jpg,,,,,,,,,, +短蕊车前紫草,Sinojohnstonia moupinensis,白水江采集队,5284,20070521,甘肃省,2450,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01659885.jpg,,,,,,,,,, +君范菊,Sinoleontopodium lingianum,李勃生 倪志诚等/B.S.Li & Z.C.Ni et al.,5852,19830726,西藏自治区,4900,高山 岩石壁上时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01842123.jpg,,,,,,,,,, +裂苞舟瓣芹,Sinolimprichtia alpina var. dissecta,王启无,64924,19350803,云南省,3600,gracils,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432307.jpg,,,,,,,,,, +裂苞舟瓣芹,Sinolimprichtia alpina var. dissecta,青藏队横断山队,4064,19810814,四川省,4700,高山流 石滩上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132055.jpg,,,,,,,,,, +裂苞舟瓣芹,Sinolimprichtia alpina var. dissecta,青藏队,10711,19820926,西藏自治区,4300,山坡 岩屑堆,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132053.jpg,,,,,,,,,, +风龙,Sinomenium acutum,红水河植物考察队,89-1422,19890519,广西壮族自治区,,林内路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01986403.jpg,,,,,,,,,, +风龙,Sinomenium acutum,黔北队,2067,19590717,贵州省,1000,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01901180.jpg,,,,,,,,,, +风龙,Sinomenium acutum,T.Miyazaki,907102,20090716,,480~530,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01899522.jpg,,,,,,,,,, +桃儿七,Sinopodophyllum hexandrum,PE西藏队,PE5939,20170905,西藏自治区,3020~3538,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333162.jpg,,,,,,,,,, +桃儿七,Sinopodophyllum hexandrum,孙学刚等,20010359,20010817,甘肃省,2450,云杉灌叶松,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815180.jpg,,,,,,,,,, +桃儿七,Sinopodophyllum hexandrum,,345,19640711,青海省,3800,山坡阳坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01034308.jpg,,,,,,,,,, +耳柄蒲儿根,Sinosenecio euosmus,于胜祥,3563,20050410,广西壮族自治区,1050,路边溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111292.jpg,,,,,,,,,, +耳柄蒲儿根,Sinosenecio euosmus,"陈又生,王泽欢",9337,20090808,西藏自治区,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052953.jpg,,,,,,,,,, +耳柄蒲儿根,Sinosenecio euosmus,"陈又生,王泽欢",9115,20090808,四川省,3100,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052951.jpg,,,,,,,,,, +植夫蒲儿根,Sinosenecio fangianus,"Qiong Yuan,Qin-er Yang,Ying Liu",1027,20070704,四川省,2800,On the slope in bushes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956041.jpg,,,,,,,,,, +蒲儿根,Sinosenecio oldhamianus,张彩飞,2144,20091025,浙江省,155,山坡、阴坡、林下空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247548.jpg,,,,,,,,,, +蒲儿根,Sinosenecio oldhamianus,邓懋彬,93044,19961018,安徽省,500,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112550.jpg,,,,,,,,,, +蒲儿根,Sinosenecio oldhamianus,巴山采集队,6063,20120701,四川省,1220~1320,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059939.jpg,,,,,,,,,, +圆叶华千里光,Sinosenecio rotundifolius,"Qiong Yuan,Qin-er Yang,Ying Liu",1034,20070705,四川省,2500,On the slope in bushes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956056.jpg,,,,,,,,,, +圆叶华千里光,Sinosenecio rotundifolius,白水江考察队,320,20060626,甘肃省,2500,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612602.jpg,,,,,,,,,, +莲座蒲儿根,Sinosenecio subrosulatus,"Qiong Yuan,Qin-er Yang,Ying Liu",1014,20070703,四川省,3100,Under forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956037.jpg,,,,,,,,,, +莲座蒲儿根,Sinosenecio subrosulatus,王作宾,14462,19510719,甘肃省,3300,冷杉林下生苔藓深原处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00853152.jpg,,,,,,,,,, +松潘蒲儿根,Sinosenecio sungpanensis,"Qiong Yuan,Qin-er Yang,Ying Liu",1042,20070710,四川省,3350,Along streamside under the forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956039.jpg,,,,,,,,,, +黑水华羽芥,Sinosophiopsis heishuiensis,吴征镒等,832,19860619,四川省,2140,石缝中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0532007.jpg,,,,,,,,,, +筒冠花,Siphocranion macranthum,王强,H12085,20120917,四川省,2400,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328246.jpg,,,,,,,,,, +筒冠花,Siphocranion macranthum,PT-ET(Putao Expedition Team): Xiaohua JIN et al.,PT-ET538,20141017,,2300,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328244.jpg,,,,,,,,,, +筒冠花,Siphocranion macranthum,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET3256,20080719,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328239.jpg,,,,,,,,,, +光柄筒冠花,Siphocranion nudipes,尹志坚等,H-滇云龙-Z4122,20100308,云南省,2500,常绿阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01920536.jpg,,,,,,,,,, +光柄筒冠花,Siphocranion nudipes,刘正宇,181382,20070930,重庆市,1560,山地沟边杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01868395.jpg,,,,,,,,,, +光柄筒冠花,Siphocranion nudipes,赵常明,EX297,20070902,湖北省,1400,阔叶林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868354.jpg,,,,,,,,,, +阴行草,Siphonostegia chinensis,石雷 林秦文,2011026,20110415,北京市,150,山坡草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112298.jpg,,,,,,,,,, +阴行草,Siphonostegia chinensis,郭成勇,20061-404-8,20060830,山东省,500,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02052467.jpg,,,,,,,,,, +阴行草,Siphonostegia chinensis,云台山采集队,1076,20090817,河南省,,路边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022784.jpg,,,,,,,,,, +绒毛假蒜芥,Sisymbriopsis mollipila,李渤生等,10496,19870709,新疆维吾尔自治区,3800~4100,山坡草地中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01123922.jpg,,,,,,,,,, +绒毛假蒜芥,Sisymbriopsis mollipila,中国科学院青甘调查队,584,19590705,青海省,4170,山顶高山石质土,,有花有果,https://image.cvh.ac.cn/files/l/PE/01123921.jpg,,,,,,,,,, +绒毛假蒜芥,Sisymbriopsis mollipila,N.M.Przewalski,s.n.,18790723,西藏自治区,4000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00934834.jpg,,,,,,,,,, +双湖假蒜芥,Sisymbriopsis shuanghuica,青藏队植被组,11990,19760722,西藏自治区,4800,沙质山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01123923.jpg,,,,,,,,,, +叶城假蒜芥,Sisymbriopsis yechengica,新疆综合考察队,KK-523,19590605,新疆维吾尔自治区,2700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01123925.jpg,,,,,,,,,, +叶城假蒜芥,Sisymbriopsis yechengica,新疆综合考察队,523,19590605,新疆维吾尔自治区 ,2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0532014.jpg,,,,,,,,,, +无毛大蒜芥,Sisymbrium brassiciforme,关克俭,517,19570530,新疆维吾尔自治区,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01996000.jpg,,,,,,,,,, +无毛大蒜芥,Sisymbrium brassiciforme,,780462,19780521,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01123972.jpg,,,,,,,,,, +无毛大蒜芥,Sisymbrium brassiciforme,生物研究所西藏考察队,4012,19740818,西藏自治区,3900,田边路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01123970.jpg,,,,,,,,,, +垂果大蒜芥,Sisymbrium heteromallum,PE西藏考察队,7733,20180624,西藏自治区,3902,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332044.jpg,,,,,,,,,, +垂果大蒜芥,Sisymbrium heteromallum,黄河队,6429,19560517,陕西省,,路边阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078343.jpg,,,,,,,,,, +垂果大蒜芥,Sisymbrium heteromallum,Anonymous,3058,19830803,宁夏回族自治区,1440,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998177.jpg,,,,,,,,,, +全叶大蒜芥,Sisymbrium luteum,张无休等,184,19840722,河北省,1980,山坡 路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01539803.jpg,,,,,,,,,, +全叶大蒜芥,Sisymbrium luteum,Miyoshi Furuse,54148,19870531,,1100~1400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01255005.jpg,,,,,,,,,, +全叶大蒜芥,Sisymbrium luteum,,861,19650616,北京市,900,阴湿沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01236295.jpg,,,,,,,,,, +多型大蒜芥,Sisymbrium polymorphum,Sino-Russian Altai Expedition,SRAE2004035,20040000,新疆维吾尔自治区,1018,Stony and clayey slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01767051.jpg,,,,,,,,,, +多型大蒜芥,Sisymbrium polymorphum,"Ralph G.Mills,M.D.",s.n.,19140619,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01123366.jpg,,,,,,,,,, +滇西泽芹,Sium frigidum,青藏队横断山队,1432,19810624,云南省,3300~3350,高山 沼泽 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129740.jpg,,,,,,,,,, +滇西泽芹,Sium frigidum,四川省植被调查队,2152,19730718,四川省,4600,沼泽草甸中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465925.jpg,,,,,,,,,, +,Skapanthus oreophilus var. elongatus,"D.E.Boufford,L.Y.Chen,J.L.Dong et al.",42807,20200810,四川省,3190~3250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101649.jpg,,,,,,,,,, +,Skapanthus oreophilus var. elongatus,D.E.Boufford et al.,35330,20060726,云南省,3280,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579750.jpg,,,,,,,,,, +,Skapanthus oreophilus var. oreophilus,秦仁昌,23497,19290802,云南省,,草坝,,无花无果,https://image.cvh.ac.cn/files/l/PE/00904714.jpg,,,,,,,,,, +乔木茵芋,Skimmia arborescens,,260,19620906,广西壮族自治区,1500,落叶常绿阔叶混交林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01965940.jpg,,,,,,,,,, +乔木茵芋,Skimmia arborescens,J.I.Jeon et al.,SI1579,20100813,四川省,2192,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01932320.jpg,,,,,,,,,, +乔木茵芋,Skimmia arborescens,刘恩德等,3573,20120323,云南省,2248,in forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920472.jpg,,,,,,,,,, +黑果茵芋,Skimmia melanocarpa,"D.E.Boufford,with Y.Jia",37776,20070520,甘肃省,2400~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924610.jpg,,,,,,,,,, +黑果茵芋,Skimmia melanocarpa,"李渤生,程树志",2833,19830209,西藏自治区,2200,常绿阔叶林下时见灌木,,无花无果,https://image.cvh.ac.cn/files/l/PE/01641952.jpg,,,,,,,,,, +黑果茵芋,Skimmia melanocarpa,湘西调查队,266,19530726,湖南省,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01582003.jpg,,,,,,,,,, +毒药树,Sladenia celastrifolia,高天刚,1366,19980607,云南省,1900,山脊,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224782.jpg,,,,,,,,,, +毒药树,Sladenia celastrifolia,Anonymous,408,19381127,湖南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02222041.jpg,,,,,,,,,, +膜叶猴欢喜,Sloanea dasycarpa,覃海宁 于胜祥 刘博 叶建飞 黄云峰,19637,20080428,广西壮族自治区,865,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112417.jpg,,,,,,,,,, +膜叶猴欢喜,Sloanea dasycarpa,青藏队植被组,2943,19740831,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061614.jpg,,,,,,,,,, +膜叶猴欢喜,Sloanea dasycarpa,K.C.Yang,5886,20000404,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932272.jpg,,,,,,,,,, +仿栗,Sloanea hemsleyana,Shui Yumin et al.,10735,19990905,云南省,1800,"roadside,valley",,无花有果,https://image.cvh.ac.cn/files/l/PE/02225756.jpg,,,,,,,,,, +仿栗,Sloanea hemsleyana,壶瓶山考查队,87338,19870601,湖南省,650,江边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02225754.jpg,,,,,,,,,, +仿栗,Sloanea hemsleyana,,10735960556,19960729,四川省,700,林间、路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02225755.jpg,,,,,,,,,, +滇越猴欢喜,Sloanea mollis,中植联广西队,1672,20080628,广西壮族自治区,1250,疏林、山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003285.jpg,,,,,,,,,, +滇越猴欢喜,Sloanea mollis,K.M.Feng,12452,19471014,云南省,1300~1500,in mixed forests,,无花有果,https://image.cvh.ac.cn/files/l/PE/01366398.jpg,,,,,,,,,, +滇越猴欢喜,Sloanea mollis,C.W.Wang,85778,19391216,云南省 ,1300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0270033.jpg,,,,,,,,,, +圆叶猴欢喜,Sloanea rotundifolia,K.M.Feng,13006,19471107,云南省,1400~1600,in mixed forests,,无花有果,https://image.cvh.ac.cn/files/l/PE/00023685.jpg,,,,,,,,,, +圆叶猴欢喜,Sloanea rotundifolia,冯国楣,24494,19591109,云南,0,江边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1206796.jpg,,,,,,,,,, +苹婆猴欢喜,Sloanea sterculiacea,陈介,924,19590124,云南省,1850,山谷、乔木林中阴坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02225750.jpg,,,,,,,,,, +苹婆猴欢喜,Sloanea sterculiacea,,,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02225749.jpg,,,,,,,,,, +灰白芹叶荠,Smelowskia alba,新疆采集队,1245,19780710,新疆维吾尔自治区,4350,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01123386.jpg,,,,,,,,,, +灰白芹叶荠,Smelowskia alba,J.Sato.,5672,19370713,黑龙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01123383.jpg,,,,,,,,,, +灰白芹叶荠,Smelowskia alba,新疆采集队,1464,1978/7/15,新疆维吾尔族自治区,4520,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0335484.jpg,,,,,,,,,, +芹叶荠,Smelowskia calycina,西植新疆队,1157,19780707,新疆维吾尔自治区,4580,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998071.jpg,,,,,,,,,, +芹叶荠,Smelowskia calycina,N.Gorbunov et al.,586,19320814,,4495,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01899107.jpg,,,,,,,,,, +弯梗菝葜,Smilax aberrans,"覃海宁,张明理,高天刚,朱大海,农必明",2063,19981103,广西壮族自治区,1400,山地、山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017801.jpg,,,,,,,,,, +弯梗菝葜,Smilax aberrans,SCNG,3040,20010423,广东省,500~800,forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01949241.jpg,,,,,,,,,, +弯梗菝葜,Smilax aberrans,"覃海宁,傅德志,张灿明等",4012,19880827,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01340442.jpg,,,,,,,,,, +穗菝葜,Smilax aspera,青藏队植被组,3093,19740907,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01518961.jpg,,,,,,,,,, +穗菝葜,Smilax aspera,"吴征镒,费德罗夫,吉尔比奇尼可夫等",1000,19550511,云南省,1150,潮湿热带林,,无花无果,https://image.cvh.ac.cn/files/l/PE/00333624.jpg,,,,,,,,,, +穗菝葜,Smilax aspera,郭永杰,赵文李,唐培洵,金仙玲,张香群,13CS7320,20130417,云南,1620,澜沧江河谷灌丛山坡,草质藤本,,https://image.cvh.ac.cn/files/l/KUN/1396635.jpg,,,,,,,,,, +疣枝菝葜,Smilax aspericaulis,华南队,1047,19890524,广西壮族自治区,1200,山地、山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017809.jpg,,,,,,,,,, +疣枝菝葜,Smilax aspericaulis,S.K.WU et al.,335,19951029,云南省,1300~840,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01944428.jpg,,,,,,,,,, +疣枝菝葜,Smilax aspericaulis,中越考察队,455,19641214,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01713705.jpg,,,,,,,,,, +西南菝葜,Smilax biumbellata,PE-古蔺考察队,105,20100529,四川省,1081~1772,"山坡,杂木林",,无花有果,https://image.cvh.ac.cn/files/l/PE/01864763.jpg,,,,,,,,,, +西南菝葜,Smilax biumbellata,刘飞,452,20050513,广西壮族自治区,1300,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01644908.jpg,,,,,,,,,, +西南菝葜,Smilax biumbellata,D.E.Boufford,20643,19790504,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00022130.jpg,,,,,,,,,, +柔毛菝葜,Smilax chingii,甘启良,1654,20060731,湖北省,700,沟边灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02002734.jpg,,,,,,,,,, +柔毛菝葜,Smilax chingii,巴山采集队,2563,20080728,重庆市,1780,山谷杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01860767.jpg,,,,,,,,,, +柔毛菝葜,Smilax chingii,何晔,293,20030802,贵州省,720,山坡 灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01644810.jpg,,,,,,,,,, +合蕊菝葜,Smilax cyclophylla,"董洪进,王泽欢,尹志坚",WM-0374,20160504,云南省,1800,溪边林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02088707.jpg,,,,,,,,,, +合蕊菝葜,Smilax cyclophylla,"郎楷永,李良千,费勇",1736,19830610,四川省,2300,山坡 云杉林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01146417.jpg,,,,,,,,,, +,Smilax elegans,,1002,19950920,云南省,2400,Limestone rocks,,无花有果,https://image.cvh.ac.cn/files/l/PE/01570119.jpg,,,,,,,,,, +西藏菝葜,Smilax elegans,,5851,19350806,四川省,600,under thickets,shrub,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00564672.jpg,,,,,,,,,, +长托菝葜,Smilax ferox,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",261,20020814,云南省,2600,常绿阔叶林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088783.jpg,,,,,,,,,, +长托菝葜,Smilax ferox,巴山采集队,6258,20120708,四川省,554~610,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066261.jpg,,,,,,,,,, +长托菝葜,Smilax ferox,北京队,896353,19890908,广西壮族自治区,900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017866.jpg,,,,,,,,,, +土茯苓,Smilax glabra,H.Ohashi C.J.Chen Y.Tateishi C.T.Chen et al,6114,,海南省,570,Climbing on grasses at roadside,,无花有果,https://image.cvh.ac.cn/files/l/PE/02307995.jpg,,,,,,,,,, +土茯苓,Smilax glabra,谭策铭,941447,19941001,江西省,290,山坡灌丛缠绕于灌丛上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230076.jpg,,,,,,,,,, +土茯苓,Smilax glabra,"董洪进,王泽欢,尹志坚",WM-0053,20160426,云南省,1300,路边林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02088706.jpg,,,,,,,,,, +墨托菝葜,Smilax griffithii,李渤生等,4282,19830422,西藏自治区,1500~1700,常绿阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805483.jpg,,,,,,,,,, +束丝菝葜,Smilax hemsleyana,青藏队,11320,19830619,四川省,1300,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851819.jpg,,,,,,,,,, +束丝菝葜,Smilax hemsleyana,中苏云南联合考察团,7767,19570000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00432481.jpg,,,,,,,,,, +束丝菝葜,Smilax hemsleyana,"张志松,张永田",5951,19600710,贵州省,1000,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00432456.jpg,,,,,,,,,, +马甲菝葜,Smilax lanceifolia,C.M.Wang,W05523,20020422,台湾省,1750,Roadside of broadleaf forest.,,无花有果,https://image.cvh.ac.cn/files/l/PE/02089562.jpg,,,,,,,,,, +马甲菝葜,Smilax lanceifolia,"覃海宁,王印政,闫丽春,文香英,邓德山,唐赛春,农必明,张宪春,夏念和",1143,19980423,广西壮族自治区,900,山地、山坡、疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02018149.jpg,,,,,,,,,, +马甲菝葜,Smilax lanceifolia,谭策铭,95797,19950924,江西省,700,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01944429.jpg,,,,,,,,,, +粗糙菝葜,Smilax lebrunii,"董洪进,王泽欢,尹志坚",WM-0063,20160426,云南省,1300,路边林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02088708.jpg,,,,,,,,,, +粗糙菝葜,Smilax lebrunii,北京队,895622,19890601,广西壮族自治区,750,山脊,,无花有果,https://image.cvh.ac.cn/files/l/PE/02018139.jpg,,,,,,,,,, +粗糙菝葜,Smilax lebrunii,白水江采集队,4038,20070502,甘肃省,910,山坡路边灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01823420.jpg,,,,,,,,,, +泸水菝葜,Smilax lushuiensis,北京植物所横断山队,74,19810527,云南省,2700,山坡常绿阔叶林下,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00035181.jpg,,,,,,,,,, +沪水菝葜,Smilax lushuiensis,方文培,36336,19530717,四川省,0~3600,,攀援藤本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0700087.jpg,,,,,,,,,, +沪水菝葜,Smilax lushuiensis,邢吉庆,494,19590509,陕西省,0~790,,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0700078.jpg,,,,,,,,,, +无刺菝葜,Smilax mairei,"Li Heng,Yang Shixiong,Lei Ligong et Ji Yunheng",1553,20030417,云南省,2590,常绿阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308961.jpg,,,,,,,,,, +无刺菝葜,Smilax mairei,,100,19730616,西藏自治区,2400,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01949491.jpg,,,,,,,,,, +防己叶菝葜,Smilax menispermoidea,PE西藏考察队,7741,20180617,西藏自治区,2808,山坡、林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332631.jpg,,,,,,,,,, +防己叶菝葜,Smilax menispermoidea,"陈智真,鸣桥直弘,黄雅怡,黄朝庆,杨昭贵",674,20010514,台湾省,2600,"Bamboo and Miscanthus grassland,on disturbed mountain slope",,有花无果,https://image.cvh.ac.cn/files/l/PE/02089904.jpg,,,,,,,,,, +防己叶菝葜,Smilax menispermoidea,北京队,894710,19890522,广西壮族自治区,850,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02018110.jpg,,,,,,,,,, +小叶菝葜,Smilax microphylla,巴山采集队,6103,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066259.jpg,,,,,,,,,, +小叶菝葜,Smilax microphylla,巴山采集队,6240,20120708,四川省,554~610,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066027.jpg,,,,,,,,,, +小叶菝葜,Smilax microphylla,傅竟秋,2750,19760901,甘肃省,800,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01949384.jpg,,,,,,,,,, +劲直菝葜,Smilax munita,洪德元等,H12036,20120808,西藏自治区,2038,林缘灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01896784.jpg,,,,,,,,,, +,Smilax munita,王启无,67323,19351000,云南省,2800,"mountain slope,border of woods","bushes,small shrub",无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00564117.jpg,,,,,,,,,, +,Smilax munita,H.T.Tsai,58814,,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00564119.jpg,,,,,,,,,, +乌饭叶菝葜,Smilax myrtillus,王裕珠,Y0649,19781206,云南省,2000,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01446512.jpg,,,,,,,,,, +乌饭叶菝葜,Smilax myrtillus,"李渤生,程树志",3488,19830119,西藏自治区,2100,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376579.jpg,,,,,,,,,, +矮菝葜,Smilax nana,"Li Heng,Yang Shixiong,Lei Ligong et Ji Yunheng",1246,20030412,云南省,2560,次生常绿阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308965.jpg,,,,,,,,,, +矮菝葜,Smilax nana,张代贵、陈功锡,LXP-06-2469,20141018,江西省,436,路旁,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU00265.jpg,,,,,,,,,, +矮菝葜,Smilax nana,李克纲、李贵、张成等,CB20150514_0006,20150514,湖南,1028,河谷,直立小灌木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU31680.jpg,,,,,,,,,, +黑叶菝葜,Smilax nigrescens,"傅德志,陈淑荣,邵毅贞等",1697,20140425,四川省,1120~1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021805.jpg,,,,,,,,,, +黑叶菝葜,Smilax nigrescens,廉永善等,96404,19960807,甘肃省,1500,山坡 华山松林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01644867.jpg,,,,,,,,,, +抱茎菝葜,Smilax ocreata,"张志耘,谢磊,张强",2015-088,20150502,广西壮族自治区,200~300,valley roadside,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02067284.jpg,,,,,,,,,, +抱茎菝葜,Smilax ocreata,"Kuang-Yuh Wang,Chien-Wu Chen",1275,19960527,台湾省,300~400,Trail side,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043359.jpg,,,,,,,,,, +穿鞘菝葜,Smilax perfoliata,广西队,237,19550604,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02018190.jpg,,,,,,,,,, +穿鞘菝葜,Smilax perfoliata,C.M.Wang et al.,2700,19970716,台湾省,360,On roadside of broadleaf forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01644879.jpg,,,,,,,,,, +穿鞘菝葜,Smilax perfoliata,T.Anonymous,s.n.,19580228,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01633725.jpg,,,,,,,,,, +方枝菝葜,Smilax quadrata,"程树志,李渤生",3204,19821130,西藏自治区,1000,杂木林下缠绕,,无花有果,https://image.cvh.ac.cn/files/l/PE/01447853.jpg,,,,,,,,,, +方枝菝葜,Smilax quadrata,李鸣冈,2940,19400112,云南省,2200,on mixed forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00464722.jpg,,,,,,,,,, +方枝菝葜,Smilax quadrata,刘成,李彩斌,陈永菊,杨绍贵,12CS4538,20120802,云南,2174,林缘路边,木质藤本,,https://image.cvh.ac.cn/files/l/KUN/1392515.jpg,,,,,,,,,, +鞘柄菝葜,Smilax stans,巴山采集队,5824,20120629,四川省,1300~1440,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066258.jpg,,,,,,,,,, +鞘柄菝葜,Smilax stans,昌平队,68,20000811,北京市,350,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042251.jpg,,,,,,,,,, +鞘柄菝葜,Smilax stans,云台山采集队,454,20090421,河南省,,山沟坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039329.jpg,,,,,,,,,, +糙柄菝葜,Smilax trachypoda,云台山采集队,1192,20090823,河南省,600~700,路边草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02023832.jpg,,,,,,,,,, +糙柄菝葜,Smilax trachypoda,廉永善等,96884,19960821,甘肃省,2100,沟谷 杂木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01644868.jpg,,,,,,,,,, +糙柄菝葜,Smilax trachypoda,邓云飞,755,19870729,湖南省,1100,山沟 溪旁 杉林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01595753.jpg,,,,,,,,,, +,Smithia ciliata,"S.K.Wu,Y.M.Shui et al.",346,19951029,云南省,1300~840,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01910834.jpg,,,,,,,,,, +,Smithia ciliata,S.Saito,3451,19271018,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01596982.jpg,,,,,,,,,, +反唇兰,Smithorchis calceoliformis,T.T.Yu,20244B,19380914,云南省,3200,under bamboo thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00804911.jpg,,,,,,,,,, +反唇兰,Smithorchis calceoliformis,韩月秀,SCHQ1305113,20090549,贵州省,1295,,,有花无果,https://image.cvh.ac.cn/files/l/ZY/ZY0004577.jpg,,,,,,,,,, +喀西茄,Solanum aculeatissimum,"刘正宇,张军等",RQHZ05758,20151016,四川省,599,黄壤 草丛 路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115322.jpg,,,,,,,,,, +喀西茄,Solanum aculeatissimum,覃海宁等,590,19980413,广西壮族自治区,680,山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02009896.jpg,,,,,,,,,, +少花龙葵,Solanum americanum,"Knapp,S Gao,Tiangang,Wang,JinXiu etc.",10112,20070919,云南省,689,shiny edges of rice fields in open valley,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115088.jpg,,,,,,,,,, +少花龙葵,Solanum americanum,"李振宇,傅连中,范晓虹等",11654,20090416,广东省,,路边荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064596.jpg,,,,,,,,,, +少花龙葵,Solanum americanum,Richard R.Halse,8733,20121126,,6,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02013136.jpg,,,,,,,,,, +欧白英,Solanum dulcamara,关克俭,581,19570602,新疆维吾尔自治区,,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233626.jpg,,,,,,,,,, +欧白英,Solanum dulcamara,C.W.Wang,70442,19351000,云南省,2000,open slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090940.jpg,,,,,,,,,, +欧白英,Solanum dulcamara,Loy R.Phillippe,31691,20000613,,210,growing along small stream in wet sand prairie,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064354.jpg,,,,,,,,,, +假烟叶树,Solanum erianthum,"张志耘,谢磊等",2016-030,20151205,广西壮族自治区,93,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115777.jpg,,,,,,,,,, +假烟叶树,Solanum erianthum,林秦文,2013-087,20130528,云南省,1600~1750,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040633.jpg,,,,,,,,,, +野海茄,Solanum japonense,覃海宁等,2394,19981107,广西壮族自治区,800,山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02009903.jpg,,,,,,,,,, +野海茄,Solanum japonense,张会金,1(2005-3011),20050820,甘肃省,1350,溪边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882771.jpg,,,,,,,,,, +野海茄,Solanum japonense,刘冰,345,20060826,天津市,500,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01810050.jpg,,,,,,,,,, +白英,Solanum lyratum,"Knapp,S Xu,Yanqin,Zhou,Yin,Ning Zulin etc.",10139,20070927,江西省,698,dry woods with pine and maple,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115083.jpg,,,,,,,,,, +白英,Solanum lyratum,"Knapp,S Wang,Ying,Ning,Zulin",10142,20070930,湖北省,46,scrambling in hedge at edge of lake in hedges and roadside vegetation,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115080.jpg,,,,,,,,,, +白英,Solanum lyratum,"武建勇,吴振海,刘艳等",10,20050707,陕西省,1102,路旁 沟边 潮湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110577.jpg,,,,,,,,,, +龙葵,Solanum nigrum,PE西藏队,PE6230,20170910,西藏自治区,2488~2994,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02331055.jpg,,,,,,,,,, +龙葵,Solanum nigrum,陈全胜,CF-0010-279,20170827,内蒙古自治区,1074,河滩草甸,平坦开阔,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246531.jpg,,,,,,,,,, +龙葵,Solanum nigrum,新疆采集队,1542,19780630,新疆维吾尔自治区,1400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244390.jpg,,,,,,,,,, +海桐叶白英,Solanum pittosporifolium,"Knapp,S Xu,Yanqin,Zhou,Yin,Ning Zulin etc.",10136,20070927,江西省,1075,stream bed in deciduous forest on mountain sides,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115085.jpg,,,,,,,,,, +海桐叶白英,Solanum pittosporifolium,覃德海等,79924,19861111,广西壮族自治区,1250,石灰山,林中,少见,,无花有果,https://image.cvh.ac.cn/files/l/PE/02009951.jpg,,,,,,,,,, +海桐叶白英,Solanum pittosporifolium,龙茹,90807012,20090807,湖北省,1400,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989698.jpg,,,,,,,,,, +,Solanum pseudocapsicum var. diflorum,"刘正宇,张军等",RQHZ06335,20141106,四川省,2702,路旁荒地 草丛 红壤,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115259.jpg,,,,,,,,,, +,Solanum pseudocapsicum var. diflorum,覃海宁等,637,19980415,广西壮族自治区,1000,山地,山坡,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02009959.jpg,,,,,,,,,, +,Solanum pseudocapsicum var. diflorum,周应再,Zhyz-109,20071102,云南省,1230,耕地边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1382028.jpg,,,,,,,,,, +青杞,Solanum septemlobum,黄河队,6859,19560527,陕西省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075839.jpg,,,,,,,,,, +青杞,Solanum septemlobum,"石硕,祝东立,祝振清",SZ3749,20140807,河北省,1182,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035530.jpg,,,,,,,,,, +青杞,Solanum septemlobum,云台山采集队,850,20090614,河南省,,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022771.jpg,,,,,,,,,, +旋花茄,Solanum spirale,"Knapp,S Gao,Tiangang,Wang,JinXiu etc.",10111,20070919,云南省,1000,roadside and rubbish dump,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115089.jpg,,,,,,,,,, +旋花茄,Solanum spirale,华南队,745,19890517,广西壮族自治区,800,山地,山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/02009963.jpg,,,,,,,,,, +旋花茄,Solanum spirale,"李渤生,程树志",3577,19830310,西藏自治区,920,杂木林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885222.jpg,,,,,,,,,, +水茄,Solanum torvum,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T271,20160917,西藏自治区,1594,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233459.jpg,,,,,,,,,, +水茄,Solanum torvum,"张志耘,谢磊等",2016-107,20151208,广西壮族自治区,390,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115621.jpg,,,,,,,,,, +水茄,Solanum torvum,"Knapp,S Gao,Tiangang,Wang,JinXiu etc.",10123,20070921,云南省,637,streamside vegetation highly disturbed,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115087.jpg,,,,,,,,,, +红果龙葵,Solanum villosum,"李安仁,朱家楠",8648,19580828,新疆维吾尔自治区,,冲积扇洪水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00730641.jpg,,,,,,,,,, +红果龙葵,Solanum villosum,钟补求,8781,19580828,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00730639.jpg,,,,,,,,,, +红果龙葵,Solanum villosum,中国科学院植物研究所黄河调查队,7880,19560906,宁夏回族自治区,,村边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00730638.jpg,,,,,,,,,, +刺天茄,Solanum violaceum,"Knapp,S Gao,Tiangang,Wang,JinXiu etc.",10110,20070919,云南省,1000,roadside and rubbish dump,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115090.jpg,,,,,,,,,, +刺天茄,Solanum violaceum,李振宇等,1552,19981025,广西壮族自治区,850,山坡,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02009988.jpg,,,,,,,,,, +,Solanum virginianum,王洪,6366,20040205,云南省,1000,公路边林缘荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033821.jpg,,,,,,,,,, +,Solanum virginianum,"刘克明,盛波,王得刚等",SCSB-HN-1891,20090830,贵州省,701,山地林缘或林间路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1382157.jpg,,,,,,,,,, +,Solanum virginianum,"刘克明,旷仁平,盛波",SCSB-HN-1915,20090903,广西壮族自治区,104,山坡路边,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1382156.jpg,,,,,,,,,, +,Solena heterophylla,简焯坡等,30956,19630819,贵州省,1200,阴处岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/02010463.jpg,,,,,,,,,, +,Solena heterophylla,C.W.Wang,84070,19400927,云南省,1000,under dense woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/02010464.jpg,,,,,,,,,, +,Solena heterophylla,C.O.Levine,858,19170507,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02010462.jpg,,,,,,,,,, +毛果一枝黄花,Solidago virgaurea,川黔队,927,19560814,贵州省,,丘陵 山坡 阳,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083898.jpg,,,,,,,,,, +毛果一枝黄花,Solidago virgaurea,"陈又生,袁慊",141459,20140811,新疆维吾尔自治区,1536,云杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02065026.jpg,,,,,,,,,, +毛果一枝黄花,Solidago virgaurea,陈又生,9800,20090915,西藏自治区,2523,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053216.jpg,,,,,,,,,, +睫毛丛菔,Solms-laubachia ciliaris,T.T.Yu,9324,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01123410.jpg,,,,,,,,,, +睫毛丛菔,Solms-laubachia ciliaris,生物研究所西藏考察队,3088,19740610,新疆维吾尔自治区,4030,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/42301.jpg,,,,,,,,,, +,Solms-laubachia eurycarpa var. brevistipes,冯虎元,LiuJQ-08KLS-035,20080905,青海,3884,高寒草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1236757.jpg,,,,,,,,,, +,Solms-laubachia eurycarpa var. brevistipes,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0930,20080726,西藏,4495,高山灌丛草甸至流石滩,直立草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1300870.jpg,,,,,,,,,, +短柄丛菔,Solms-laubachia eurycarpa var. brevistipes,藏药队,1138,19720728,青海省,4600,高山带,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0532128.jpg,,,,,,,,,, +多花丛菔,Solms-laubachia floribunda,杨竞生,91-371,19910618,四川省,4500,流石滩或石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01123418.jpg,,,,,,,,,, +多花丛菔,Solms-laubachia floribunda,青藏科考队,12173,19760703,西藏自治区,5100,山顶碎石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934835.jpg,,,,,,,,,, +绵毛丛菔,Solms-laubachia lanata,"张永田,郞楷永",1898,19650818,西藏自治区,5000,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01123419.jpg,,,,,,,,,, +线叶丛菔,Solms-laubachia linearifolia,D.E.Boufford & B.Bartholomew et.al.,28180,19980702,四川省,4600~4700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869044.jpg,,,,,,,,,, +线叶丛菔,Solms-laubachia linearifolia,G.Forrest,28577,19300000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01123429.jpg,,,,,,,,,, +细叶丛菔,Solms-laubachia minor,D.E.Boufford et al.,29223,19980725,云南省,4280~4600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898031.jpg,,,,,,,,,, +细叶丛菔,Solms-laubachia minor,H.Handel-Mazzetti,2318,19140518,四川省,4325,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00934836.jpg,,,,,,,,,, +细叶丛菔,Solms-laubachia minor,"H. Akiyama,H. Kudo,J. Murata,T. Sugawara,N. Tanaka",1196,19971018,广西壮族自治区,,无,,,https://image.cvh.ac.cn/files/l/KUN/1289882.jpg,,,,,,,,,, +总状丛菔,Solms-laubachia platycarpa,吴征缢、陈书坤、杜庆、庐树林,1129,19750720,西藏自治区,5020,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/54132.jpg,,,,,,,,,, +丛菔,Solms-laubachia pulcherrima,西藏中草药普查队,1004,19720804,西藏自治区,5200~5300,高山沙坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01123449.jpg,,,,,,,,,, +丛菔,Solms-laubachia pulcherrima,G.Forrest,30015,19310000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01123447.jpg,,,,,,,,,, +丛菔,Solms-laubachia pulcherrima,杨竞生,91-415,19910620,四川省,4750,石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01123435.jpg,,,,,,,,,, +旱生丛菔,Solms-laubachia xerophyta,T.T.Yu,12306,19370719,云南省,3700,rocky hill,,无花有果,https://image.cvh.ac.cn/files/l/PE/01123463.jpg,,,,,,,,,, +旱生丛菔,Solms-laubachia xerophyta,T.T.Yu,13043,19370830,四川省,4100,upon precipuons rocks,,无花有果,https://image.cvh.ac.cn/files/l/PE/01123461.jpg,,,,,,,,,, +,Sonchella dentata,青甘队,542,19590703,青海省,2720,湖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234548.jpg,,,,,,,,,, +草甸小苦苣菜,Sonchella dentata,高庆波、邢睿、贾留坤,Gao2018030,20180703,青海,2707,柽柳、白刺灌丛,外侧为芦苇地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026255.jpg,,,,,,,,,, +花叶滇苦菜,Sonchus asper,安明态,5224,20030717,贵州省,1200,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235407.jpg,,,,,,,,,, +花叶滇苦菜,Sonchus asper,Hanelt,,19570730,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111233.jpg,,,,,,,,,, +花叶滇苦菜,Sonchus asper,云台山采集队,273,20080924,河南省,,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040423.jpg,,,,,,,,,, +长裂苦苣菜,Sonchus brachyotus,张彩飞,3052,20110928,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247408.jpg,,,,,,,,,, +长裂苦苣菜,Sonchus brachyotus,东林植物调查四队,9542933,19950724,,,山路路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235159.jpg,,,,,,,,,, +长裂苦苣菜,Sonchus brachyotus,康藏植物考察队,10-1044,20100801,青海省,4254,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235160.jpg,,,,,,,,,, +苦苣菜,Sonchus oleraceus,"张彩飞,穆光丽",3120,20111028,北京市,,荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247704.jpg,,,,,,,,,, +苦苣菜,Sonchus oleraceus,林亲众,2002005,20020416,湖南省,70,路边,山地草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235296.jpg,,,,,,,,,, +苦苣菜,Sonchus oleraceus,黄昌洪,20,20041013,贵州省,1050,路边灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235002.jpg,,,,,,,,,, +全叶苦苣菜,Sonchus transcaspicus,巴山采集队,3413,20100723,陕西省,915,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059668.jpg,,,,,,,,,, +全叶苦苣菜,Sonchus transcaspicus,A.Vvedensky et M.Popov,,19270531,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056837.jpg,,,,,,,,,, +全叶苦苣菜,Sonchus transcaspicus,"崔鸿宾,林有润,夏振岱",80-156,19800908,青海省,3520,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01777100.jpg,,,,,,,,,, +,Sonchus wightianus,吴德长等,47,19590607,新疆维吾尔自治区,1250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234924.jpg,,,,,,,,,, +,Sonchus wightianus,"石硕,祝东立,祝振清",SZ3693,20140806,河北省,1206,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034976.jpg,,,,,,,,,, +,Sonchus wightianus,刘振宇,20283,19960820,贵州省,790,玉米地中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01831051.jpg,,,,,,,,,, +蜂斗草,Sonerila cantonensis,"王印政,彭华,邓德山,邓云飞,税玉民,朱大海",3822,19981015,云南省,1700,山地,山坡,密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097855.jpg,,,,,,,,,, +蜂斗草,Sonerila cantonensis,东兴,9,19731000,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991550.jpg,,,,,,,,,, +蜂斗草,Sonerila cantonensis,段林东,4424,20040916,湖南省,500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01584584.jpg,,,,,,,,,, +羽裂叶荠,Sophiopsis sisymbrioides,新疆采集队,1769,19780729,新疆维吾尔自治区,3200,山坡 阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01123474.jpg,,,,,,,,,, +羽裂叶荠,Sophiopsis sisymbrioides,周太炎,650386,1965-05-,新疆省,1100,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0137993.jpg,,,,,,,,,, +,Sophiopsis sisymbrioides,张挺,杨赵平,焦培培,张权,杨力,08CS447,20080726,新疆,2694,高山草场,,,https://image.cvh.ac.cn/files/l/KUN/1236759.jpg,,,,,,,,,, +苦豆子,Sophora alopecuroides,贾慎修,8,19560707,新疆维吾尔自治区,700,湿润深厚,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101100.jpg,,,,,,,,,, +苦豆子,Sophora alopecuroides,侯学煜等,122,19570715,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078238.jpg,,,,,,,,,, +尾叶槐,Sophora benthamii,"李渤生,程树志",2801,19830208,西藏自治区,840,江边Ficus林中常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074717.jpg,,,,,,,,,, +尾叶槐,Sophora benthamii,M.K.Li,2812,19400604,云南省,2200,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0155432.jpg,,,,,,,,,, +尾叶槐,Sophora benthamii,蒋英,12224,19330400,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0155430.jpg,,,,,,,,,, +白刺槐,Sophora davidii,PE西藏考察队,7059,20180609,西藏自治区,3819,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333734.jpg,,,,,,,,,, +白刺槐,Sophora davidii,孔冬梅,k0499,20140726,山西省,1673,山坡路旁灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038322.jpg,,,,,,,,,, +白刺槐,Sophora davidii,彭华等,6043,20070309,云南省,930,on rocky slope in dry valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925877.jpg,,,,,,,,,, +苦参,Sophora flavescens,中苏队,5375,19570228,云南省,1300,阳处山坡灌木丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090276.jpg,,,,,,,,,, +苦参,Sophora flavescens,"Mi-Sook Lee,Ji-Eun Choi",SMD140435,20140708,,23,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063506.jpg,,,,,,,,,, +苦参,Sophora flavescens,巴山采集队,3151,20100728,四川省,1050,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059401.jpg,,,,,,,,,, +槐,Sophora japonica,"王兆银,吴宝成",SCSB-JS0408,20071119,江苏省,57,平地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01924195.jpg,,,,,,,,,, +槐,Sophora japonica,孙航等,15021,20100527,四川省,1042,上坡上,河边上坡疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920114.jpg,,,,,,,,,, +槐,Sophora japonica,刘正宇,14242,19930821,重庆市,680,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879543.jpg,,,,,,,,,, +砂生槐,Sophora moorcroftiana,PE西藏队,PE5020,20170824,西藏自治区,3522,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330018.jpg,,,,,,,,,, +砂生槐,Sophora moorcroftiana,236任务组,11,19720630,四川省,2600,山坡 灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01535096.jpg,,,,,,,,,, +,Sophora prazeri,"刘恩德,方伟 ,徐洲锋等",4379,20150701,云南省,1390,山谷路边灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111819.jpg,,,,,,,,,, +,Sophora prazeri,黔南队,484,19590412,贵州省,,山谷潮湿地平原,,有花无果,https://image.cvh.ac.cn/files/l/PE/00215620.jpg,,,,,,,,,, +,Sophora velutina var. cavaleriei,钟补勤,1447,19290618,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01515748.jpg,,,,,,,,,, +,Sophora velutina var. cavaleriei,H.T.Tsai,53668,19330611,云南省,1900,In forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00215839.jpg,,,,,,,,,, +光叶短绒槐,Sophora velutina var. cavaleriei,王清泉,20201,19790615,四川省,1800,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0188572.jpg,,,,,,,,,, +灰毛槐树,Sophora velutina var. velutina,木本油料队,65-0093,19660617,云南省,1130,灌丛草地,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0623173.jpg,,,,,,,,,, +灰毛槐树,Sophora velutina var. velutina,钟补勤,531,19280429,贵州省,0,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0623191.jpg,,,,,,,,,, +灰毛槐树,Sophora velutina var. velutina,赵良能,2081,19640421,四川省,1650,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0623188.jpg,,,,,,,,,, +,Sorbaria arborea var. arborea,236任务组,720,19720812,四川省,2400,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01534428.jpg,,,,,,,,,, +高丛珍珠梅,Sorbaria arborea var. arborea,青藏队,2958,19810719,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/029988.jpg,,,,,,,,,, +,Sorbaria arborea var. arborea,王乾,M-112,20180625,四川,2725,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0267934.jpg,,,,,,,,,, +光叶高丛珍珠梅,Sorbaria arborea var. glabrata,巴山采集队,1974,20080725,重庆市,2286,山谷溪边林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851102.jpg,,,,,,,,,, +光叶高丛珍珠梅,Sorbaria arborea var. glabrata,"覃海宁,吴振海,刘冰",19328,20060925,陕西省,2060,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01809829.jpg,,,,,,,,,, +华北珍珠梅,Sorbaria kirilowii,Bin-Bin liu,3990,20180728,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234019.jpg,,,,,,,,,, +华北珍珠梅,Sorbaria kirilowii,段长虹,Dch0382,20140717,山西省,1781,黄土高坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036916.jpg,,,,,,,,,, +华北珍珠梅,Sorbaria kirilowii,"Ying Taun-shen, Guo Qin-feng. Li Yun-feng,Cui He.",19,19870708,陕西省,1400,edye of forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993290.jpg,,,,,,,,,, +,Sorbaria tomentosa,唐宇丹等,BS065(2006-2663),20061007,西藏自治区,3091,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093658.jpg,,,,,,,,,, +,Sorbaria tomentosa,George Rogers,170,19860705,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01523840.jpg,,,,,,,,,, +白毛花楸,Sorbus albopilosa,PE西藏队,PE6296,20170911,西藏自治区,2445,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330082.jpg,,,,,,,,,, +白毛花楸,Sorbus albopilosa,Koji Yonekura & Kiyoshi Matsui,4961,20000611,,590~600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01638696.jpg,,,,,,,,,, +毛背花楸,Sorbus aronioides,WU SUGONG et al.,3287,19961001,山西省,2550,Under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01863128.jpg,,,,,,,,,, +毛背花楸,Sorbus aronioides,"张志松,张永田",4487,19600614,贵州省,1700,高山密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01515829.jpg,,,,,,,,,, +毛背花楸,Sorbus aronioides,青藏队,6956,19820528,云南省,2500~2700,山坡 Tsuga林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01159842.jpg,,,,,,,,,, +多变花楸,Sorbus astateria,生态室高原组,14121,19800808,西藏自治区,1500,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093614.jpg,,,,,,,,,, +多变花楸,Sorbus astateria,K.M.Feng,8208,19401006,云南省,,杂林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00949639.jpg,,,,,,,,,, +白叶花楸,Sorbus cuspidata,PE西藏考察队,7936,20180626,西藏自治区,3081~3206,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02331955.jpg,,,,,,,,,, +白叶花楸,Sorbus cuspidata,,876,,,3300,混交林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00949887.jpg,,,,,,,,,, +附生花楸,Sorbus epidendron,,338,19620918,广西壮族自治区,1360,落叶常绿混交林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983204.jpg,,,,,,,,,, +附生花楸,Sorbus epidendron,"张志松,党成忠,肖心楠等",401660,19640501,贵州省,2100,山沟岩石密林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01515803.jpg,,,,,,,,,, +附生花楸,Sorbus epidendron,青藏队,6688,19820521,云南省,2600,山沟落叶阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01499001.jpg,,,,,,,,,, +纤细花楸,Sorbus filipes,张经炜,1405,19730902,西藏自治区,3300,西北坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810445.jpg,,,,,,,,,, +纤细花楸,Sorbus filipes,George Forrest,23539,19230000,云南省,3367~4000,On divide,,无花无果,https://image.cvh.ac.cn/files/l/PE/01640216.jpg,,,,,,,,,, +,Sorbus foliolosa,PE西藏队,PE6668,20170914,西藏自治区,3934,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330109.jpg,,,,,,,,,, +,Sorbus foliolosa,T.T.Yu,s.n.,19480000,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01683956.jpg,,,,,,,,,, +,Sorbus foliolosa,税玉良,2446,19930418,云南省,2100,土山地,山坡丫口处树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01640044.jpg,,,,,,,,,, +球穗花楸,Sorbus glomerulata,关克俭等,2231,19641004,重庆市,2100,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01640162.jpg,,,,,,,,,, +球穗花楸,Sorbus glomerulata,成都生物所植被组,13837,19760717,四川省,3300,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01640154.jpg,,,,,,,,,, +钝齿花楸,Sorbus helenae,,5956,19590823,四川省,,竹地附近山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01640219.jpg,,,,,,,,,, +江南花楸,Sorbus hemsleyi,唐,CZ-66,20041009,湖南省,300,林中,阴,半阳坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02061960.jpg,,,,,,,,,, +江南花楸,Sorbus hemsleyi,梁同军,72,20150615,江西省,1500,生于山坡常绿林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042831.jpg,,,,,,,,,, +江南花楸,Sorbus hemsleyi,"J.I.Jeon,H.S.Lee,H.J.Eom, Y.J.Park et B.Liu",SI1557,20100812,四川省,2245,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993957.jpg,,,,,,,,,, +湖北花楸,Sorbus hupehensis,唐,CZ-44(2004-2892),20041007,湖南省,1450,山顶光照充足,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093639.jpg,,,,,,,,,, +湖北花楸,Sorbus hupehensis,甘启良,2706,20070922,湖北省,1800,山坡杂林间,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059803.jpg,,,,,,,,,, +湖北花楸,Sorbus hupehensis,巴山采集队,2830,20100720,四川省,816,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059551.jpg,,,,,,,,,, +卷边花楸,Sorbus insignis,唐宇丹等,PX023,20061009,西藏自治区,3688,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02061969.jpg,,,,,,,,,, +卷边花楸,Sorbus insignis,滇东北队,574,19720913,云南省,1850,山坡路边次生杂木林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01612389.jpg,,,,,,,,,, +毛序花楸,Sorbus keissleri,,,19731025,广西壮族自治区,,山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983115.jpg,,,,,,,,,, +毛序花楸,Sorbus keissleri,巴山采集队,959,20080707,重庆市,1150,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851258.jpg,,,,,,,,,, +毛序花楸,Sorbus keissleri,覃海宁等,235,20010830,四川省,2600,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01640202.jpg,,,,,,,,,, +无毛俅江花楸,Sorbus kiukiangensis var. glabrescens,T.T.Yu,20071,19380903,云南省,2800,Among thickets on open slope,Shrub,有花无果,https://image.cvh.ac.cn/files/l/PE/00020834.jpg,,,,,,,,,, +,Sorbus kiukiangensis var. glabrescens,T. T. Yu,20071,1938/9/3,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00138928.jpg,,,,,,,,,, +陕甘花楸,Sorbus koehneana,刘彬彬,2294,20150716,湖北省,2625,山坡杂木林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069893.jpg,,,,,,,,,, +陕甘花楸,Sorbus koehneana,张彩飞,1239,20080909,甘肃省,3000,山坡灌丛,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02061890.jpg,,,,,,,,,, +陕甘花楸,Sorbus koehneana,江广渝,4073,20100731,四川省,2298,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059641.jpg,,,,,,,,,, +兰坪花楸,Sorbus lanpingensis,北京所横断山队,1013,19810622,云南省,3200,铁杉林带内 林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00934279.jpg,,,,,,,,,, +泡吹叶花楸,Sorbus meliosmifolia,"李良千,王忠涛,杜玉芬,卫然",223,20110912,甘肃省,2017~2110,林缘沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914225.jpg,,,,,,,,,, +泡吹叶花楸,Sorbus meliosmifolia,徐洪贵,2032,19950524,四川省,1720,林间,,有花无果,https://image.cvh.ac.cn/files/l/PE/01640776.jpg,,,,,,,,,, +泡吹叶花楸,Sorbus meliosmifolia,孙必兴等,413,19730524,云南省,1400,路边杂木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01499083.jpg,,,,,,,,,, +,Sorbus microphylla,唐宇丹等,YD055(2006-2529),20061001,西藏自治区,3515,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093652.jpg,,,,,,,,,, +,Sorbus microphylla,"F.Ludlow,G.Sherriff",3401,19370708,,4167~4667,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01683272.jpg,,,,,,,,,, +维西花楸,Sorbus monbeigii,彭华课题组,H-滇兰坪-Z1318,20100730,云南省,3650,林缘,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1204374.jpg,,,,,,,,,, +维西花楸,Sorbus monbeigii,"亚吉东, 陈智发, 陈小灵",LJBG0023,20141010,云南,3661,冷杉林、河边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1451862.jpg,,,,,,,,,, +多对花楸,Sorbus multijuga,,22382,19570713,云南省,3200,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01640136.jpg,,,,,,,,,, +多对花楸,Sorbus multijuga,"D.E.Boufford,M.J.Donoghue & R.H.Ree",27546,19970826,四川省,2990,"Cut-over hillsides with Picea,Larix,Sorbaria Salix and mixed shrubs.Rock slope above stream.",,无花有果,https://image.cvh.ac.cn/files/l/PE/01640135.jpg,,,,,,,,,, +褐毛花楸,Sorbus ochracea,刘恩德等,3639,20120325,云南省,2240,in forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01921218.jpg,,,,,,,,,, +褐毛花楸,Sorbus ochracea,"程树志,倪志诚,李渤生",4839,19830510,西藏自治区,1650,常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01515810.jpg,,,,,,,,,, +少齿花楸,Sorbus oligodonta,PE西藏队,PE5687,20170903,西藏自治区,1683~2900,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330072.jpg,,,,,,,,,, +少齿花楸,Sorbus oligodonta,王裕珠,Y0654,19781205,云南省,2550,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093526.jpg,,,,,,,,,, +少齿花楸,Sorbus oligodonta,T.T.Yu,s.n.,19480000,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01683279.jpg,,,,,,,,,, +灰叶花楸,Sorbus pallescens,D.E.Boufford et al.,33170,20050719,四川省,3340~3650,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01579621.jpg,,,,,,,,,, +灰叶花楸,Sorbus pallescens,George Forrest,25968,19241100,,3333~3667,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01515811.jpg,,,,,,,,,, +灰叶花楸,Sorbus pallescens,"李渤生,程树志",771,19820908,西藏自治区,2800~3300,冷杉铁杉林下常见小乔木,,无花有果,https://image.cvh.ac.cn/files/l/PE/01515774.jpg,,,,,,,,,, +侏儒花楸,Sorbus poteriifolia,Feng,5131,19400705,云南省,3850,岩途中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01640167.jpg,,,,,,,,,, +侏儒花楸,Sorbus poteriifolia,青藏队,10241,19820909,西藏自治区,4200,山坡 灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01159954.jpg,,,,,,,,,, +灰毛蕨叶花楸,Sorbus pteridophylla var. tephroclada,青藏队,8405,19820722,云南省,2800,Tsuga林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01159959.jpg,,,,,,,,,, +,Sorbus pteridophylla var. tephroclada,,12324,19380915,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0035102.jpg,,,,,,,,,, +,Sorbus pteridophylla var. tephroclada,G. Forrest,21665,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00065099.jpg,,,,,,,,,, +毛萼铺地花楸,Sorbus reducta var. pubescens,青藏队,8802,19820726,云南省,3400,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934281.jpg,,,,,,,,,, +鼠李叶花楸,Sorbus rhamnoides,青藏队,11936,19830710,四川省,,常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01499112.jpg,,,,,,,,,, +鼠李叶花楸,Sorbus rhamnoides,"李文华,胡勇",81-272,19810717,云南省,2700,针阔混交林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01499110.jpg,,,,,,,,,, +红毛花楸,Sorbus rufopilosa,PE西藏考察队,7895,20180626,西藏自治区,3081~3206,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333234.jpg,,,,,,,,,, +红毛花楸,Sorbus rufopilosa,朱大海,3744,20070524,四川省,2550,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840790.jpg,,,,,,,,,, +怒江花楸,Sorbus salwinensis,青藏队,9784,19820830,云南省,2500,山脊杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01172076.jpg,,,,,,,,,, +,Sorbus salwinensis,H. T. Tsai,54452,1933/10/17,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00112662.jpg,,,,,,,,,, +怒江花楸,Sorbus salwinensis,南水北调(滇西北),10024,19600530,云南,3100,山谷针阔叶林下,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0668294.jpg,,,,,,,,,, +晚绣花楸,Sorbus sargentiana,"刘金鉴,田景全",51,19631008,四川省,2600,路旁 密林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092690.jpg,,,,,,,,,, +晚绣花楸,Sorbus sargentiana,T.T.Yu,s.n.,19480000,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01683318.jpg,,,,,,,,,, +四川花楸,Sorbus setschwanensis,,960083,19960714,四川省,2500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01863665.jpg,,,,,,,,,, +四川花楸,Sorbus setschwanensis,唐宇丹,Q090(2005-2665),20050902,青海省,2357,北沟路边阴湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/01863436.jpg,,,,,,,,,, +四川花楸,Sorbus setschwanensis,白水江采集队,426,20060627,甘肃省,2350~2550,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01857055.jpg,,,,,,,,,, +尾叶花楸,Sorbus subochracea,青藏队,74-4954,19740830,西藏自治区,2200,河边杂木林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00934287.jpg,,,,,,,,,, +太白花楸,Sorbus tapashana,钟志宇,265,19930711,甘肃省,3000,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840798.jpg,,,,,,,,,, +太白花楸,Sorbus tapashana,"杨昌友,尤鲁斯",740629,19740706,新疆维吾尔自治区,1700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01612409.jpg,,,,,,,,,, +太白花楸,Sorbus tapashana,"刘更喜,田玉英",s.n.,19910717,青海省,2400~2500,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01596461.jpg,,,,,,,,,, +康藏花楸,Sorbus thibetica,PE西藏考察队,7145,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331939.jpg,,,,,,,,,, +康藏花楸,Sorbus thibetica,F.Ludlow et al.,18933,19490523,,3333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01683322.jpg,,,,,,,,,, +康藏花楸,Sorbus thibetica,青藏队,6693,19820521,云南省,2400~2600,山坡落叶阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01515801.jpg,,,,,,,,,, +滇缅花楸,Sorbus thomsonii,PE-古蔺考察队,493,20100905,四川省,1502~850,岩石上,有水,,无花有果,https://image.cvh.ac.cn/files/l/PE/01864940.jpg,,,,,,,,,, +滇缅花楸,Sorbus thomsonii,,95345,19950722,重庆市,1700,阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629345.jpg,,,,,,,,,, +天山花楸,Sorbus tianschanica,张会金等,21,20080820,新疆维吾尔自治区,2400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02061823.jpg,,,,,,,,,, +天山花楸,Sorbus tianschanica,L.Ivanina et al.,432,19780705,,1800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01943714.jpg,,,,,,,,,, +,Sorbus ursina,"Delavay, J.M.",187,1884-9-10,,,,,,https://image.cvh.ac.cn/files/l/P/P02143297.jpg,,,,,,,,,, +川滇花楸,Sorbus vilmorinii,J. I. Jeon et al.,SI1402,20100811,四川省,3981,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01928042.jpg,,,,,,,,,, +川滇花楸,Sorbus vilmorinii,于胜祥等,5814,20110821,西藏自治区,,沿途路旁山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902735.jpg,,,,,,,,,, +华西花楸,Sorbus wilsoniana,PE-古蔺考察队,604,20100905,四川省,1100~1580,山谷,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01864945.jpg,,,,,,,,,, +华西花楸,Sorbus wilsoniana,"张兵,向新",90529016,20090529,湖北省,1579,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863366.jpg,,,,,,,,,, +华西花楸,Sorbus wilsoniana,巴山采集队,2579,20080728,重庆市,1780,山谷杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851256.jpg,,,,,,,,,, +察隅花楸,Sorbus zayuensis,青藏队,314,19730622,西藏自治区,3600,山坡高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00978728.jpg,,,,,,,,,, +光高梁,Sorghum nitidum,Liu Yanchun,483,20101001,云南省,1858,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088672.jpg,,,,,,,,,, +光高梁,Sorghum nitidum,张,885175,19880815,山东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01904914.jpg,,,,,,,,,, +光高梁,Sorghum nitidum,邓,91126,19930907,江苏省,30,山谷 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607662.jpg,,,,,,,,,, +拟高梁,Sorghum propinquum,Fung H.,20456,19320826,海南省,,Rare dry loam sandy soil hedge garden,,有花有果,https://image.cvh.ac.cn/files/l/PE/00639066.jpg,,,,,,,,,, +拟高梁,Sorghum propinquum,赖书坤,3003,19630709,江西省,150,山地沙壤水旁阳处路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00639063.jpg,,,,,,,,,, +拟高梁,Sorghum propinquum,刘正宇,14175,19930816,重庆市,820,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00639064.jpg,,,,,,,,,, +,Soroseris depressa,PE西藏队,PE5888,20170905,西藏自治区,3020~3460,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890455.jpg,,,,,,,,,, +空桶参,Soroseris erysimoides,"田,张",81,19810815,云南省,4270,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234550.jpg,,,,,,,,,, +空桶参,Soroseris erysimoides,"张建文,杨斌,陈洪梁",Zh400,20130825,青海省,3570,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064829.jpg,,,,,,,,,, +空桶参,Soroseris erysimoides,"张建文,杨斌,陈洪梁",Zh224,20130821,四川省,4235,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064512.jpg,,,,,,,,,, +绢毛苣,Soroseris glomerata,"张建文,杨斌,陈洪梁",Zh589,20130831,青海省,4646,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064827.jpg,,,,,,,,,, +绢毛苣,Soroseris glomerata,康藏植物考察队,10-3037,20100831,云南省,4300,流石滩,,,https://image.cvh.ac.cn/files/l/PE/02053733.jpg,,,,,,,,,, +皱叶绢毛苣,Soroseris hookeriana,Anonymous,79,19810815,云南省,4350,灌木草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234536.jpg,,,,,,,,,, +皱叶绢毛苣,Soroseris hookeriana,陈又生,8124,20080824,陕西省,3400,Sandy grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113593.jpg,,,,,,,,,, +皱叶绢毛苣,Soroseris hookeriana,,536,19640719,青海省,1600~4700,近山顶草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082973.jpg,,,,,,,,,, +,Soroseris pumila,"Lepcha, Rohmoo",527,12-Sep-12,,,,,,https://image.cvh.ac.cn/files/l/E/E00394278.jpg,,,,,,,,,, +,Soroseris trichocarpa,Harry Smith,10849,19340803,四川省,4300,高山草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00519973.jpg,,,,,,,,,, +,Soroseris trichocarpa,"倪志诚,汪永泽,次多,次旦",1227,19800817,西藏自治区,4600,高山草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00519972.jpg,,,,,,,,,, +,Soroseris trichocarpa,,536,19640719,青海省,4600~4700,近山顶草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00519968.jpg,,,,,,,,,, +,Soroseris umbrella,PE西藏队,PE5907,20170905,西藏自治区,3020~3460,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890451.jpg,,,,,,,,,, +伞花绢毛菊,Soroseris umbrella,杨宗汉,83202,19860812,云南省,0~4300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0619158.jpg,,,,,,,,,, +伞花绢毛菊,Soroseris umbrella,张建文,杨斌,陈洪梁,Zh 931,20130913,四川省,4270,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1253134.jpg,,,,,,,,,, +黄三七,Souliea vaginata,,6435,19740705,四川省,2900,鳞皮冷杉川西云杉混交林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050755.jpg,,,,,,,,,, +黄三七,Souliea vaginata,北京所横断山队,2899,19810810,云南省,3800~3900,冷杉林下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046820.jpg,,,,,,,,,, +密集黑三棱,Sparganium confertum,俞德浚,20343,19380917,云南省,3100,In alpine swamp,herb aquetic,无花有果,https://image.cvh.ac.cn/files/l/PE/00008314.jpg,,,,,,,,,, +穗状黑三棱,Sparganium confertum,蔡杰、郭云刚、张凤琼、李梅娟、李昌洪,14CS9725,20141107,云南,3019,高山水塘,水生草本,,https://image.cvh.ac.cn/files/l/KUN/1392904.jpg,,,,,,,,,, +短序黑三棱,Sparganium glomeratum,北京植物所横断山队,1738,19810720,云南省,3100,亚高山沼泽中优势种(面积小),,有花有果,https://image.cvh.ac.cn/files/l/PE/02049182.jpg,,,,,,,,,, +短序黑三棱,Sparganium glomeratum,D. E. Boufford et al.,39555,20070812,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01897155.jpg,,,,,,,,,, +短序黑三棱,Sparganium glomeratum,刘慎谔等,7165,19560712,黑龙江省,,中甸子水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766733.jpg,,,,,,,,,, +沼生黑三棱,Sparganium limosum,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T268,20160917,西藏自治区,1594,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02233093.jpg,,,,,,,,,, +沼生黑三棱,Sparganium limosum,T.T.Yu,19197,19380626,云南省,1750,Margin of swamp,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00008299.jpg,,,,,,,,,, +黑三棱,Sparganium stoloniferum,"曹子余,程树志,韩家懋",144,20010714,吉林省,1130,水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110132.jpg,,,,,,,,,, +黑三棱,Sparganium stoloniferum,秦仁昌,88,19560704,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060872.jpg,,,,,,,,,, +黑三棱,Sparganium stoloniferum,陈又生等,140705,20140721,内蒙古自治区,1200,水生,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034027.jpg,,,,,,,,,, +少花苞舌兰,Spathoglottis ixioides,"于胜祥,侯元同,张晓霞",5649,20110818,西藏自治区,,沿途路旁山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033205.jpg,,,,,,,,,, +少花苞舌兰,Spathoglottis ixioides,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201499,20200805,西藏,2744,岩壁上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509359.jpg,,,,,,,,,, +苞舌兰,Spathoglottis pubescens,"逯永满,张志强",2009167,20090928,云南省,1490,山地阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230193.jpg,,,,,,,,,, +苞舌兰,Spathoglottis pubescens,华南队,2022,19890928,广西壮族自治区,1300,山地山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032990.jpg,,,,,,,,,, +苞舌兰,Spathoglottis pubescens,石国良,13129,19770827,广东省,,山顶灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032976.jpg,,,,,,,,,, +竹叶吉祥草,Spatholirion longifolium,"云南考察队(金效华,刘冰,刘博等)",YN-ET874,20090706,云南省,1400,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02237686.jpg,,,,,,,,,, +竹叶吉祥草,Spatholirion longifolium,,F0103,19851021,贵州省,700,山谷阴处路旁林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02237683.jpg,,,,,,,,,, +密花豆,Spatholobus suberectus,H.T.Tsai,54983,19331029,云南省,1500,山坡路边岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00327831.jpg,,,,,,,,,, +密花豆,Spatholobus suberectus,Y.Tsiang,12918,19330400,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00216416.jpg,,,,,,,,,, +马蹄黄,Spenceria ramalana,"川西队,关克俭,王文采等",关王607,19630717,四川省,3500,山坡草地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02092877.jpg,,,,,,,,,, +马蹄黄,Spenceria ramalana,D.E.boufford B.Bartholomew D.A.Eaton et al,40653,20090718,西藏自治区,3690,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993968.jpg,,,,,,,,,, +,Speranskia cantonensis,侯满福,G017,20060504,广西壮族自治区,,石灰岩山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239623.jpg,,,,,,,,,, +,Speranskia cantonensis,三峡工程植被组,峡0008,19880324,重庆市,,江岸路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028659.jpg,,,,,,,,,, +,Speranskia cantonensis,白水江采集队,3305,20070422,甘肃省,700~810,范坝黑阴沟沟边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827874.jpg,,,,,,,,,, +,Speranskia tuberculata,陈全胜,CF11-4210,20180702,内蒙古自治区,681,石质山地草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246684.jpg,,,,,,,,,, +,Speranskia tuberculata,沙河,523,19721213,河北省,,平地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239621.jpg,,,,,,,,,, +,Speranskia tuberculata,郭成勇,20061-617-5,20060517,山东省,350,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239622.jpg,,,,,,,,,, +拟漆姑,Spergularia marina,"姜恕,金存礼",433,19720628,河北省,,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01219263.jpg,,,,,,,,,, +拟漆姑,Spergularia marina,Miyoshi Furuse,48305,19691006,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01104496.jpg,,,,,,,,,, +拟漆姑,Spergularia marina,李明红,1117,1996-06-,湖南省,150M,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0150173.jpg,,,,,,,,,, +香叶木,Spermadictyon suaveolens,"高信芬, 张良, 李蒙, 张桥蓉, 亚吉东, 崔光帅",QTP-1108-T05-000183,20171130,,831,Evergreen forest,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484455.jpg,,,,,,,,,, +绒毛戴星草,Sphaeranthus indicus,王启无,72137,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0619198.jpg,,,,,,,,,, +绒毛戴星草,Sphaeranthus indicus,孙洪范,9080,19640613,,0~100,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0619201.jpg,,,,,,,,,, +绒毛戴星草,Sphaeranthus indicus,刀志灵,Dao296,19900408,云南省,,橡胶地周围水塘边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1267584.jpg,,,,,,,,,, +苦马豆,Sphaerophysa salsula,"陈又生,袁慊",141628,20140818,新疆维吾尔自治区,1180,湿草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02063423.jpg,,,,,,,,,, +苦马豆,Sphaerophysa salsula,陈又生等,140862,20140724,内蒙古自治区,1228,河滩草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02031775.jpg,,,,,,,,,, +迷果芹,Sphallerocarpus gracilis,段长虹,Dch0293,20140713,山西省,2204,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035376.jpg,,,,,,,,,, +迷果芹,Sphallerocarpus gracilis,赤峰采集队,2-116,20080729,内蒙古自治区,1421,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02012297.jpg,,,,,,,,,, +迷果芹,Sphallerocarpus gracilis,,2648,19060707,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01652412.jpg,,,,,,,,,, +,Spiradiclis cylindrica,青藏队,4476,19740823,西藏自治区,1000,山坡 阔叶树下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00839011.jpg,,,,,,,,,, +,Spiradiclis cylindrica,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11849,20161112,西藏,961,路边灌草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444940.jpg,,,,,,,,,, +高山绣线菊,Spiraea alpina,傅国勋,217,19600611,西藏自治区,4200,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068528.jpg,,,,,,,,,, +高山绣线菊,Spiraea alpina,"陈伟烈,陈家瑞,郭柯等",6929,19840629,四川省,3300,河谷水地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046341.jpg,,,,,,,,,, +高山绣线菊,Spiraea alpina,泛喜马拉雅植物志巴基斯坦采集队,FPH-0839,20120625,,3700,Plateau,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005064.jpg,,,,,,,,,, +耧斗菜叶绣线菊,Spiraea aquilegifolia,"刘冰,刘夙",635,20070519,内蒙古自治区,1345,沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977780.jpg,,,,,,,,,, +耧斗菜叶绣线菊,Spiraea aquilegifolia,,14532,19430525,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01683365.jpg,,,,,,,,,, +耧斗菜叶绣线菊,Spiraea aquilegifolia,黄河调查队,373,19540817,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01607202.jpg,,,,,,,,,, +拱枝绣线菊,Spiraea arcuata,PE西藏考察队,7570,20180621,西藏自治区,3796~4100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333363.jpg,,,,,,,,,, +拱枝绣线菊,Spiraea arcuata,于胜祥等,5145,20110809,四川省,,沿途路旁山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01863254.jpg,,,,,,,,,, +石灰岩绣线菊,Spiraea calcicola,,187,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00372766.jpg,,,,,,,,,, +石灰岩绣线菊,Spiraea calcicola,K.M.Feng,1257,19390609,云南省,,on open cliffs.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00372765.jpg,,,,,,,,,, +粉叶绣线菊,Spiraea compsophylla,北京植物所横断山队,485,19810606,云南省,1700~1900,干旱山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01857070.jpg,,,,,,,,,, +,Spiraea compsophylla,"周浙昆,苏涛,杨莹,张芳茗,李国锋,黄永江",Zhou09-158,20091015,四川省,4168,冷杉林,溪边,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1317990.jpg,,,,,,,,,, +粉叶绣线菊,Spiraea compsophylla,"周浙昆, 苏涛, 杨莹, 张芳茗, 李国锋, 黄永江",Zhou09-096,20091014,云南,,河滩,杂木林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1317989.jpg,,,,,,,,,, +稻城绣线菊,Spiraea daochengensis,青藏队横断山,5947,19810901,四川省,3800,山坡云杉林 高山栎林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00934303.jpg,,,,,,,,,, +翠蓝绣线菊,Spiraea henryi,巴山采集队,3763,20100731,四川省,1830,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059159.jpg,,,,,,,,,, +翠蓝绣线菊,Spiraea henryi,"张兵,向新",90530029,20090530,湖北省,1328,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863327.jpg,,,,,,,,,, +翠蓝绣线菊,Spiraea henryi,三峡考察队,3376,20090907,重庆市,1220~1280,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01857016.jpg,,,,,,,,,, +急尖粉花绣线菊,Spiraea japonica var. acuta,D.E.Boufford et al.,27477,19970823,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01453370.jpg,,,,,,,,,, +急尖粉花绣线菊,Spiraea japonica var. acuta,黔南队,2045,19590520,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00374352.jpg,,,,,,,,,, +急尖粉花绣线菊,Spiraea japonica var. acuta,秦仁昌,23134,19290705,云南省,,草坡内,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00374350.jpg,,,,,,,,,, +光叶粉花绣线菊,Spiraea japonica var. fortunei,田景全,280,19600803,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093021.jpg,,,,,,,,,, +光叶粉花绣线菊,Spiraea japonica var. fortunei,刘彬彬,2254,20150714,湖北省,1350,溪沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02070148.jpg,,,,,,,,,, +光叶粉花绣线菊,Spiraea japonica var. fortunei,巴山采集队,3288,20100722,陕西省,1201,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059118.jpg,,,,,,,,,, +裂叶粉花绣线菊,Spiraea japonica var. incisa,巴山采集队,2491,20080726,重庆市,2100,山谷杂木林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01857037.jpg,,,,,,,,,, +裂叶粉花绣线菊,Spiraea japonica var. incisa,236 四川任务组,691,19710804,四川省,3100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01534476.jpg,,,,,,,,,, +裂叶粉花绣线菊,Spiraea japonica var. incisa,韩裕丰等,81-1670,19810812,云南省,3600,箭竹云冷杉林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01453566.jpg,,,,,,,,,, +华西绣线菊(原变种),Spiraea laeta var. laeta,张相宜,李子宣,郭泳棂,Z-01-01-04-013,20210524,四川,1749,路边,中生或阳生,有花有果,https://image.cvh.ac.cn/files/l/SZ/02071649.jpg,,,,,,,,,, +丽江绣线菊,Spiraea lichiangensis,George Forrest,23591,19230800,云南省,3333,On ledge of cliffs in side valleys,,有花无果,https://image.cvh.ac.cn/files/l/PE/01453592.jpg,,,,,,,,,, +丽江绣线菊,Spiraea lichiangensis,罗亚皇,YMT3500-2-2015,20140527,云南,3544,川滇高山栎-杜鹃林,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454332.jpg,,,,,,,,,, +裂叶绣线菊,Spiraea lobulata,PE西藏队,PE5714,20170903,西藏自治区,1683~2900,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309964.jpg,,,,,,,,,, +长芽绣线菊,Spiraea longigemmis,邵毅贞等,1633,20140424,四川省,1944~2300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01918962.jpg,,,,,,,,,, +长芽绣线菊,Spiraea longigemmis,巴山采集队,1864,20080719,陕西省,2300,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851304.jpg,,,,,,,,,, +长芽绣线菊,Spiraea longigemmis,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01683480.jpg,,,,,,,,,, +,Spiraea mollifolia var. glabrata,"李渤生,李辉,多吉次旦",13002,19900815,西藏自治区,4450,阳坡sabina灌丛中常见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01364511.jpg,,,,,,,,,, +毛枝蒙古绣线菊,Spiraea mongolica var. tomentulosa,,507,19640717,青海省,3600,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810149.jpg,,,,,,,,,, +毛枝蒙古绣线菊,Spiraea mongolica var. tomentulosa,,5141,,宁夏回族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01453790.jpg,,,,,,,,,, +毛枝蒙古绣线菊,Spiraea mongolica var. tomentulosa,,天昭076,19570624,新疆维吾尔自治区,,溪边阳坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01453782.jpg,,,,,,,,,, +木里绣线菊,Spiraea muliensis,应俊生,4102,19600621,四川省,2700,山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00020876.jpg,,,,,,,,,, +细枝绣线菊,Spiraea myrtilloides,PE西藏考察队,7205,20180612,西藏自治区,3045~3398,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333382.jpg,,,,,,,,,, +细枝绣线菊,Spiraea myrtilloides,"朱大海,张超,李小杰",4698,20070813,四川省,1550,河边林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863568.jpg,,,,,,,,,, +广椭绣线菊,Spiraea ovalis,三峡考察队,3143,20090901,重庆市,1440~1538,河谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/01857615.jpg,,,,,,,,,, +广椭绣线菊,Spiraea ovalis,,44,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01453859.jpg,,,,,,,,,, +广椭绣线菊,Spiraea ovalis,张志英,16945,19630922,甘肃省,1400,山沟路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01453858.jpg,,,,,,,,,, +云南乳突绣线菊,Spiraea papillosa var. yunnanensis,四川大学生物系,10380,19580528,四川省,1920,山顶上林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01453899.jpg,,,,,,,,,, +云南乳突绣线菊,Spiraea papillosa var. yunnanensis,秦仁昌,23967,19290823,云南省,3300,杂木林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00020882.jpg,,,,,,,,,, +紫花绣线菊,Spiraea purpurea,"唐宇丹,林秦文",2010-072,20100916,西藏自治区,3205,南北向沟谷 瀑布边 沙土与腐殖土混,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036565.jpg,,,,,,,,,, +紫花绣线菊,Spiraea purpurea,"J.I.Jeon,H.S.Lee,H.J.Eom, Y.J.Park et B.Liu",SI1569,20100813,四川省,2245,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01993963.jpg,,,,,,,,,, +南川绣线菊,Spiraea rosthornii,陈明洪等,981197,19980700,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061841.jpg,,,,,,,,,, +南川绣线菊,Spiraea rosthornii,张志英,4933,19590618,甘肃省,2280,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902330.jpg,,,,,,,,,, +茂汶绣线菊,Spiraea sargentiana,刘文彬,47,19900525,四川省,1890,沟边坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01640609.jpg,,,,,,,,,, +茂汶绣线菊,Spiraea sargentiana,秦岭队,1093,19591003,陕西省,2650,山坡 半阴处 路旁 灌木丛中 野生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01572699.jpg,,,,,,,,,, +茂汶绣线菊,Spiraea sargentiana,张治明,30,19630704,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01466313.jpg,,,,,,,,,, +川滇绣线菊(原变种),Spiraea schneideriana var. schneideriana,马边组,669,19780705,四川,1750,草丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM707007079.jpg,,,,,,,,,, +干地绣线菊,Spiraea siccanea,H.T.Tsai,56222,19331012,云南省,2800,in ravine,,无花有果,https://image.cvh.ac.cn/files/l/PE/00703469.jpg,,,,,,,,,, +,Spiraea siccanea,,0,19201103,安徽,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0035395.jpg,,,,,,,,,, +浅裂绣线菊,Spiraea sublobata,西师生物系,冕12214,19760609,四川省,2700,混交林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01438254.jpg,,,,,,,,,, +浅裂绣线菊,Spiraea sublobata,蓝顺彬,390,19850507,云南省,2430,向阳山坡杂林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01438252.jpg,,,,,,,,,, +浅裂绣线菊,Spiraea sublobata,周洪富,26939,19580809,重庆市,900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00703501.jpg,,,,,,,,,, +鄂西绣线菊,Spiraea veitchii,刘彬彬,2711,20150823,四川省,,"Shrubs and grassland,on the roadside",,有花无果,https://image.cvh.ac.cn/files/l/PE/02070152.jpg,,,,,,,,,, +鄂西绣线菊,Spiraea veitchii,刘彬彬,2271,20150716,湖北省,2712,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02070150.jpg,,,,,,,,,, +鄂西绣线菊,Spiraea veitchii,"李良千,王忠涛,杜玉芬,卫然",181,20110911,甘肃省,2100~2245,山坡沟边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01914253.jpg,,,,,,,,,, +陕西绣线菊,Spiraea wilsonii,白龙江考察队,391,19980720,甘肃省,2300,山地 山谷灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01556259.jpg,,,,,,,,,, +陕西绣线菊,Spiraea wilsonii,,776,,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01536498.jpg,,,,,,,,,, +陕西绣线菊,Spiraea wilsonii,,s.n.,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01438392.jpg,,,,,,,,,, +西藏绣线菊,Spiraea xizangensis,鞠文彬,杨焰,THP-KD-5209,20170804,四川,4040,草地灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242151.jpg,,,,,,,,,, +云南绣线菊,Spiraea yunnanensis,杨竞生,91-166,19910527,四川省,,雅龚江边山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01438397.jpg,,,,,,,,,, +云南绣线菊,Spiraea yunnanensis,George Forrest,30863,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01438398.jpg,,,,,,,,,, +绶草,Spiranthes sinensis,Zhanghai Li,15048,20150827,云南省,3120,meadow in alpine,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233119.jpg,,,,,,,,,, +绶草,Spiranthes sinensis,赵鑫磊,,20110802,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230329.jpg,,,,,,,,,, +,Spirodela polyrhiza,陈耀东等,5246,19920709,河北省,,苇丛边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01787479.jpg,,,,,,,,,, +,Spirodela polyrhiza,"陈耀东,郎青,马欣堂",1301,19850812,江西省,,水排之间,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780311.jpg,,,,,,,,,, +,Spodiopogon cotulifer,T.Miyazaki,1011010,20101026,台湾省,120,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089022.jpg,,,,,,,,,, +,Spodiopogon cotulifer,川黔队,1213,19560830,贵州省,1250~1350,山坡阳处草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049055.jpg,,,,,,,,,, +,Spodiopogon cotulifer,Taku Miyazaki,710373,20071021,,185~200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01915274.jpg,,,,,,,,,, +泸定大油芒,Spodiopogon ludingensis,,54,19820915,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01432387.jpg,,,,,,,,,, +大花大油芒,Spodiopogon sibiricus var. grandiflorus,李馨,71733,19570901,四川省,2600,,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01432203.jpg,,,,,,,,,, +,Spodiopogon sibiricus var. sibiricus,"郭永杰, 张桥蓉, 黄莉, 李涟漪, 李培, 何德明, 杨映虹",16CS14277,20161025,浙江,3,路边草丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1457261.jpg,,,,,,,,,, +台南大油芒,Spodiopogon tainanensis,梁慧舟,1560,19991106,台湾省,1000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855638.jpg,,,,,,,,,, +台南大油芒,Spodiopogon tainanensis,青藏队,4269,19810825,四川省,,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854117.jpg,,,,,,,,,, +台南大油芒,Spodiopogon tainanensis,廉永善等,96238,19960804,陕西省,700,石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854092.jpg,,,,,,,,,, +,Sporobolus diandrus,刘艳春,徐瑾,56,20070710,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221289.jpg,,,,,,,,,, +双蕊鼠尾粟,Sporobolus diandrus,丰燕飞;韦荣彪;黄太文,WSLJS735,20141008,云南,1837,荒坡上,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1404437.jpg,,,,,,,,,, +双蕊鼠尾粟,Sporobolus diandrus,"郭永杰, 张桥蓉, 黄莉, 李涟漪, 李培, 何德明, 杨映虹",16CS14202,20161022,浙江,4,林缘草丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1451751.jpg,,,,,,,,,, +鼠尾粟,Sporobolus fertilis,Liu Yanchun,476,20101001,云南省,1770,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089479.jpg,,,,,,,,,, +鼠尾粟,Sporobolus fertilis,"李振宇,闫丽春,农必明,李东方",1679,19981028,广西壮族自治区,1000,山坡,石山,,无花有果,https://image.cvh.ac.cn/files/l/PE/01981417.jpg,,,,,,,,,, +鼠尾粟,Sporobolus fertilis,杨永等,421,20100913,四川省,2075,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01904444.jpg,,,,,,,,,, +八蕊花,Sporoxeia sciadophila,Y.Tsiang,13531,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00910380.jpg,,,,,,,,,, +八蕊花,Sporoxeia sciadophila,李中提,602236,19581222,广西壮族自治区,1210,山地阴处密林下普遍散生,,无花无果,https://image.cvh.ac.cn/files/l/PE/00910367.jpg,,,,,,,,,, +,Stachys kouyangensis var. kouyangensis,P.I.Mao,16,19500817,云南省,,In groves green place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00904852.jpg,,,,,,,,,, +,Stachys kouyangensis var. kouyangensis,"熊济华,周子林",91835,19570706,重庆市,900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00904738.jpg,,,,,,,,,, +,Stachys kouyangensis var. kouyangensis,俞德俊,1870,19330000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00904733.jpg,,,,,,,,,, +具瘤,Stachys kouyangensis var. tuberculata,王强,H&W08001,20081111,云南省,2480,油松,榛子混交林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328508.jpg,,,,,,,,,, +具瘤西南水苏,Stachys kouyangensis var. tuberculata,Y.Tsiang,11804,19330905,云南省 ,1700,,herb,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00227457.jpg,,,,,,,,,, +多枝水苏,Stachys melissaefolia,PE西藏考察队,8005,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332595.jpg,,,,,,,,,, +,Stachys tibetica,"Thomson, Thomas",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00301988.jpg,,,,,,,,,, +中国旌节花,Stachyurus chinensis,北京植物所横断山队,27,19810526,云南省,1950,河谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02225731.jpg,,,,,,,,,, +中国旌节花,Stachyurus chinensis,植物所三峡考察队,670,20080425,重庆市,1176~977,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02225732.jpg,,,,,,,,,, +滇缅旌节花,Stachyurus cordatulus,青藏队,9397,19820822,云南省,1800,山坡常绿阔叶林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01289149.jpg,,,,,,,,,, +滇缅旌节花,Stachyurus cordatulus,宋健,522422160512006LY,20160512,贵州省,1717.9,中生、阳性、酸性土、中温、野生植物、阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0034587.jpg,,,,,,,,,, +喜马山旌节花,Stachyurus himalaicus,"李渤生,程树志",5191,19830603,西藏自治区,2300~2500,林缘灌丛中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046543.jpg,,,,,,,,,, +喜马山旌节花,Stachyurus himalaicus,林秦文,2013-004,20130527,云南省,1600~1750,沟谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02038713.jpg,,,,,,,,,, +喜马山旌节花,Stachyurus himalaicus,P.J.Chau K.C.Luo Y.B. et al,ASBK466,19970507,广西壮族自治区,600,"everygreen forest,on slope of limestone hill",,无花有果,https://image.cvh.ac.cn/files/l/PE/01991105.jpg,,,,,,,,,, +云南旌节花,Stachyurus yunnanensis,236 四川任务组,438,19720805,四川省,1400,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02086286.jpg,,,,,,,,,, +云南旌节花,Stachyurus yunnanensis,,1983,19430215,贵州省,1000,石灰岩土,,无花无果,https://image.cvh.ac.cn/files/l/PE/01601194.jpg,,,,,,,,,, +,Stauntonia libera,,9514,19820823,云南省,1600,山坡,路边,次生林中,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0430574.jpg,,,,,,,,,, +,Stauropsis undulata,"武全安,张启泰",703,19820422,云南省,1060,路边杂木林,,,https://image.cvh.ac.cn/files/l/KUN/1292748.jpg,,,,,,,,,, +船唇兰,Stauropsis undulata,王启无,85670,1939/12/12,云南,1300,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0269362.jpg,,,,,,,,,, +贺兰山繁缕,Stellaria alaschanica,白水江考察队,265,20060625,甘肃省,2750,林下草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841733.jpg,,,,,,,,,, +贺兰山繁缕,Stellaria alaschanica,青甘队,2856,19600704,青海省,2950,"林下,林间空地",,有花无果,https://image.cvh.ac.cn/files/l/PE/00581827.jpg,,,,,,,,,, +高山雀舌草,Stellaria alsine var. alpina,C. W. Wang,68426,1935/08/,云南省,3600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0044791.jpg,,,,,,,,,, +高山雀舌草,Stellaria alsine var. alpina,九龙坡队,500107150402-340LY01,20150402,重庆市,300,草丛中,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0073931.jpg,,,,,,,,,, +沙生繁缕,Stellaria arenarioides,Hoo et Wang,12419,1941/8/8,甘肃省,3100,,slender herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0079929.jpg,,,,,,,,,, +沙生繁缕,Stellaria arenarioides,青甘队,590,1959/7/5,青海省,4170,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0169547.jpg,,,,,,,,,, +短瓣繁缕,Stellaria brachypetala,C.S.Liu,1348,19340826,四川省,4120,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00581877.jpg,,,,,,,,,, +短瓣繁缕,Stellaria brachypetala,关克俭,2071,19570721,新疆维吾尔自治区,2700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00581876.jpg,,,,,,,,,, +短瓣繁缕,Stellaria brachypetala,陈实,2169,1964/06/,青海省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0482688.jpg,,,,,,,,,, +,Stellaria decumbens var. acicularis,李渤生,6708,19830819,西藏自治区,3200,Tsngn 林缘石上时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01268423.jpg,,,,,,,,,, +大叶繁缕,Stellaria delavayi,D.E.Boufford et al.,35890,20060806,四川省,3850~3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868927.jpg,,,,,,,,,, +大叶繁缕,Stellaria delavayi,滇西北金沙江队,6571,19630816,云南省,2500,"常绿杂木林下,溪边",,有花无果,https://image.cvh.ac.cn/files/l/PE/00612177.jpg,,,,,,,,,, +石竹叶繁缕,Stellaria dianthifolia,PE西藏队,PE5090,20170825,西藏自治区,3788,灌层下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309304.jpg,,,,,,,,,, +石竹叶繁缕,Stellaria dianthifolia,张寿洲等,1026,20130926,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01990479.jpg,,,,,,,,,, +叉歧繁缕,Stellaria dichotoma,"刘冰,刘夙",687,20070604,北京市,1851,亚高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042734.jpg,,,,,,,,,, +叉歧繁缕,Stellaria dichotoma,N.Maltzev,4362,19090809,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900866.jpg,,,,,,,,,, +翻白繁缕,Stellaria discolor,云台山采集队,1372,20090824,河南省,1100~1200,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026553.jpg,,,,,,,,,, +翻白繁缕,Stellaria discolor,"张树仁,陈淑荣,朗校安等",2007,20140616,四川省,1920~2300,山谷 山坡 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021915.jpg,,,,,,,,,, +翻白繁缕,Stellaria discolor,,16,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01699545.jpg,,,,,,,,,, +,Stellaria graminea var. lanceolata,刘尚武,464,19650820,青海省,3850,山坡草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00047950.jpg,,,,,,,,,, +,Stellaria graminea var. lanceolata,杨永昌,1037,19650605,,3650,农田地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00047946.jpg,,,,,,,,,, +吉隆繁缕,Stellaria gyirongensis,"程树志,李渤生",5203,19830623,西藏自治区,,林内草甸时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934409.jpg,,,,,,,,,, +内曲繁缕,Stellaria infracta,孔冬梅,k0419,20140724,山西省,1661,草地石堆,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036425.jpg,,,,,,,,,, +内曲繁缕,Stellaria infracta,D.E.Boufford et al.,37984,20070723,四川省,2880~2920,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868929.jpg,,,,,,,,,, +绵毛繁缕,Stellaria lanata,PE西藏考察队,7475,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332739.jpg,,,,,,,,,, +绵毛繁缕,Stellaria lanata,北京植物所横断山队,390,19810602,云南省,2700,针阔混交林带路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377521.jpg,,,,,,,,,, +,Stellaria lanipes,林芹,邓向福,790520,19790000,云南省,0,岩上荫湿,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0530196.jpg,,,,,,,,,, +米林繁缕,Stellaria mainlingensis,青藏队,4043,19720717,西藏自治区,3600,山坡水沟边,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01187870.jpg,,,,,,,,,, +繁缕(原变种),Stellaria media var. media,张相宜,李子宣,郭泳棂,LZX-Z-00-13-015,20210527,四川,2025,路边,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02064720.jpg,,,,,,,,,, +锥花繁缕,Stellaria monosperma var. paniculata,生态室高原组,11359,19800727,西藏自治区,1600,玉米地中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268430.jpg,,,,,,,,,, +锥花繁缕,Stellaria monosperma var. paniculata,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00612795.jpg,,,,,,,,,, +鸡肠繁缕,Stellaria neglecta,北京队,895705,19890601,广西壮族自治区,400,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01986198.jpg,,,,,,,,,, +鸡肠繁缕,Stellaria neglecta,Troels Myndel Pedersen,1966,19530406,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01968628.jpg,,,,,,,,,, +鸡肠繁缕,Stellaria neglecta,"何铸,周子林",14171,19520000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01699823.jpg,,,,,,,,,, +尼泊尔繁缕,Stellaria nepalensis,李渤生,4342,19830427,西藏自治区,1900,林内草地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268431.jpg,,,,,,,,,, +尼泊尔繁缕,Stellaria nepalensis,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳建,6月20日,20180822,西藏,2910.3,山谷,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0193968.jpg,,,,,,,,,, +聂拉木繁缕,Stellaria nyalamensis,"李渤生,李辉,阳艺",13384,19900901,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486979.jpg,,,,,,,,,, +,Stellaria ovatifolia,罗建,汪书丽,LiuJQ-11XZ-205,20110921,西藏,2499,针阔林林缘坡地,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1240062.jpg,,,,,,,,,, +卵叶繁缕,Stellaria ovatifolia,罗建、汪书丽,LIUJQ205,20110921,西藏自治区,0~2499,亚热带针阔林林缘坡地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280787.jpg,,,,,,,,,, +卵叶繁缕,Stellaria ovatifolia,j.e.palmer,20124,18980500,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/087047847.jpg,,,,,,,,,, +沼生繁缕,Stellaria palustris,孔冬梅,k0268,20140707,山西省,1432,阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036743.jpg,,,,,,,,,, +沼生繁缕,Stellaria palustris,白水江采集队,4876,20070514,甘肃省,1300,河滩沙地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841791.jpg,,,,,,,,,, +沼生繁缕,Stellaria palustris,C.Davaeamc et al.,1166,19620630,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01699877.jpg,,,,,,,,,, +白毛繁缕,Stellaria patens,"李渤生,程树志",2206,19821215,西藏自治区,1800~2100,松林内石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468223.jpg,,,,,,,,,, +,Stellaria patens,涨潮,,20060630,西藏,,,,,https://image.cvh.ac.cn/files/l/BNU/0016566.jpg,,,,,,,,,, +细柄繁缕,Stellaria petiolaris,D.E.Boufford et al.,35171,20060723,云南省,3780~3930,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868939.jpg,,,,,,,,,, +细柄繁缕,Stellaria petiolaris,青藏队,73-378,19730626,西藏自治区,3200,山坡高山栎林下阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01187880.jpg,,,,,,,,,, +细柄繁缕,Stellaria petiolaris,曲桂龄,2891,19360622,四川省,2400,路旁,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00934177.jpg,,,,,,,,,, +长毛箐姑草,Stellaria pilosoides,谢朝俊,39697,1955/7/5,四川省,1300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0175637.jpg,,,,,,,,,, +长毛箐姑草,Stellaria pilosoides,C. W. Wang,64023,1935/06/,云南省,3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0040377.jpg,,,,,,,,,, +长毛箐姑草,Stellaria pilosoides,高信芬、黎怀诚,THP-KD-0382,20170602,四川,3932,,多年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255199.jpg,,,,,,,,,, +准噶尔繁缕,Stellaria soongorica,"清水建美,近田文弘等",43,19910720,新疆维吾尔自治区,2150,放牧地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467564.jpg,,,,,,,,,, +康定繁缕,Stellaria souliei,冯国楣,6851,19400822,云南省,3600~3700,草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00613118.jpg,,,,,,,,,, +康定繁缕,Stellaria souliei,崔友文,4137,19510629,四川省,2800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00613115.jpg,,,,,,,,,, +亚伞花繁缕,Stellaria subumbellata,青藏队,73-1144,19730813,西藏自治区,4300,山谷冰川冲积地岩石隙,,有花有果,https://image.cvh.ac.cn/files/l/PE/01187890.jpg,,,,,,,,,, +亚伞花繁缕,Stellaria subumbellata,王启无,70154,19350900,云南省,2700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00613120.jpg,,,,,,,,,, +亚伞花繁缕,Stellaria subumbellata,河西队,262,19670824,甘肃省,3000,"灌丛,草甸",,有花无果,https://image.cvh.ac.cn/files/l/PE/00613119.jpg,,,,,,,,,, +繁缕属,Stellaria tibetica,"张建文,李彦波,孙露,张成,阳亿",ZJW-3427,20150825,西藏自治区,4469,高山流石滩,,,https://image.cvh.ac.cn/files/l/KUN/1274909.jpg,,,,,,,,,, +湿地繁缕,Stellaria uda,张经炜,6276,19730812,西藏自治区,3500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268435.jpg,,,,,,,,,, +湿地繁缕,Stellaria uda,青藏队,74-3506,19740611,四川省,2900,山坡草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01187895.jpg,,,,,,,,,, +湿地繁缕,Stellaria uda,杨永昌,1131,19650710,青海省,4000,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00613128.jpg,,,,,,,,,, +伞花繁缕,Stellaria umbellata,"傅德志,陈淑荣,邵毅贞等",1707,20140425,四川省,1120~1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021296.jpg,,,,,,,,,, +伞花繁缕,Stellaria umbellata,Arnold Tiehm,15936,20090716,,2743,growing along a seep in an aspen grove,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873821.jpg,,,,,,,,,, +伞花繁缕,Stellaria umbellata,陶德定,11253,19760906,西藏自治区,4500~4800,高山草坡山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01187892.jpg,,,,,,,,,, +抱茎箐姑草,Stellaria vestita var. amplexicaulis,俞德俊,5382,19370517,云南省,2500,地边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00613730.jpg,,,,,,,,,, +,Stellaria vestita var. amplexicaulis,刀志灵,DZL418,20081010,云南,2860,路边,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1240082.jpg,,,,,,,,,, +,Stellaria vestita var. vestita,卻建华等,183,20070507,云南省,3200,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0137816.jpg,,,,,,,,,, +箐姑草,Stellaria vestita var. vestita,邵剑文,ANUB00561,20160504,安徽省,623.422,路边,,有花无果,https://image.cvh.ac.cn/files/l/ANUB/ANUB000091.jpg,,,,,,,,,, +,Stellaria winkleri,西植新疆队,845,19780702,新疆维吾尔自治区,3000,河滩草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00613732.jpg,,,,,,,,,, +千针万线草,Stellaria yunnanensis,Anonymous,s.n.,18880723,云南省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062620.jpg,,,,,,,,,, +千针万线草,Stellaria yunnanensis,西藏中草药普查队,916,19720802,西藏自治区,4000,渠边田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01187896.jpg,,,,,,,,,, +千针万线草,Stellaria yunnanensis,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00613814.jpg,,,,,,,,,, +藏南繁缕,Stellaria zangnanensis,青藏队,73-909,19730726,西藏自治区,2300,山坡沟边草丛中,蔓生草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01187868.jpg,,,,,,,,,, +藏南繁缕,Stellaria zangnanensis,林芹,邓向福,790990,19790715,云南省,2700,杂木林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0530874.jpg,,,,,,,,,, +狼毒,Stellera chamaejasme,PE西藏考察队,7233,20180614,西藏自治区,4163,河谷坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333284.jpg,,,,,,,,,, +狼毒,Stellera chamaejasme,陈全胜,CF04-40016,20180625,内蒙古自治区,1708,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247127.jpg,,,,,,,,,, +狼毒,Stellera chamaejasme,"川西队,关克俭,王文采等",关王608,19630717,四川省,3500,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092021.jpg,,,,,,,,,, +云南百部,Stemona mairei,青藏队,2070,19810702,云南省,2100,金沙江支流 干旱河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196037.jpg,,,,,,,,,, +云南百部,Stemona mairei,青藏队,1669,19810630,四川省,208,金沙江河谷阶地灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01196031.jpg,,,,,,,,,, +云南百部,Stemona mairei,G.Forrest,12534,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0629213.jpg,,,,,,,,,, +紫筒草,Stenosolenium saxatile,T.N.Liou,L.1505,19300419,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110753.jpg,,,,,,,,,, +紫筒草,Stenosolenium saxatile,廉永善等,93-33,19930807,甘肃省,1650,干旱石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01576647.jpg,,,,,,,,,, +紫筒草,Stenosolenium saxatile,Harry Smith,5882,19240630,山西省,500,ad vias,,有花有果,https://image.cvh.ac.cn/files/l/PE/01361366.jpg,,,,,,,,,, +单蕊冠毛草,Stephanachne monandra,青藏队植被组,12435,19760901,西藏自治区,4800,湖边山坡时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00639878.jpg,,,,,,,,,, +黑穗茅,Stephanachne nigrescens,"汤宗孝,田效文,孙庆国",724,19820812,四川省,4300,高山 灌丛 草场 山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645882.jpg,,,,,,,,,, +黑穗茅,Stephanachne nigrescens,黄河调查队,803,19540911,陕西省,,山坡阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01567671.jpg,,,,,,,,,, +冠毛草,Stephanachne pappophorea,,1196,,青海省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233228.jpg,,,,,,,,,, +冠毛草,Stephanachne pappophorea,青藏队植被组,877231,19750712,西藏自治区,4600,山坡沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00639915.jpg,,,,,,,,,, +冠毛草,Stephanachne pappophorea,"李安仁,朱家楠",8426,19580919,新疆维吾尔自治区,2350,山坡阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00639912.jpg,,,,,,,,,, +白线薯,Stephania brachyandra,税玉民,3558,,云南省,700,山坡 林缘灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01658114.jpg,,,,,,,,,, +白线薯,Stephania brachyandra,安顺队,574,19590809,贵州省,1000,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01036226.jpg,,,,,,,,,, +,Stephania brevipedunculata,刘成,张挺,张书东,13CS6486,20130530,西藏,920,路边灌丛,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1320878.jpg,,,,,,,,,, +短梗地不容,Stephania brevipedunculata,张永田,郎楷永,3178,19660505,西藏自治区,1700,灌木丛中,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0431940.jpg,,,,,,,,,, +一文钱,Stephania delavayi,红水河植物考察队,2539,19890623,云南省,1400,石灰岩灌丛林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01986412.jpg,,,,,,,,,, +一文钱,Stephania delavayi,西藏中草药普查队,419,19720606,西藏自治区,2350,东坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658161.jpg,,,,,,,,,, +一文钱,Stephania delavayi,,14308,19760923,四川省,1700,林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658119.jpg,,,,,,,,,, +地不容,Stephania epigaea,H. C. Ching,20555,19390518,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01036130.jpg,,,,,,,,,, +地不容,Stephania epigaea,青藏队,11997,19830714,四川省,1300,河边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01036124.jpg,,,,,,,,,, +西藏地不容,Stephania glabra,青藏队植被组,4574,19750715,西藏自治区,1850~2000,河谷灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/00049306.jpg,,,,,,,,,, +,Stephania glandulifera,刘成,蔡杰,张挺,刘恩德,张书东,13CS6411,20130527,西藏,833,林缘路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1320881.jpg,,,,,,,,,, +,Stephania glandulifera,孙航,周浙昆,俞宏渊,1099,19921106,西藏自治区,850,on tree,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0432142.jpg,,,,,,,,,, +纤细千金藤,Stephania gracilenta,"李渤生,李辉",14005,19901007,西藏自治区,2800,常绿阔叶林下常见种,,无花有果,https://image.cvh.ac.cn/files/l/PE/01036368.jpg,,,,,,,,,, +纤细千金藤,Stephania gracilenta,青藏队植被组,4376,19750627,,1700~2000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00049304.jpg,,,,,,,,,, +西南千金藤,Stephania subpeltata,"党成忠,党平",320,19860707,贵州省,1400,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01658127.jpg,,,,,,,,,, +西南千金藤,Stephania subpeltata,税玉民等,64783,20060821,云南省,1880~2030,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658101.jpg,,,,,,,,,, +西南千金藤,Stephania subpeltata,"张永田,郞楷永",838,19650722,西藏自治区,2100,"山坡,密林下",,有花无果,https://image.cvh.ac.cn/files/l/PE/01036606.jpg,,,,,,,,,, +粉苹婆,Sterculia euosma,北京队,890640,19890430,广西壮族自治区,600,山地 上层林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999899.jpg,,,,,,,,,, +粉苹婆,Sterculia euosma,,2869,19740830,西藏自治区,870,山坡路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802614.jpg,,,,,,,,,, +粉苹婆,Sterculia euosma,G.Forrest,11862,19130000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01304970.jpg,,,,,,,,,, +,Sterculia hamiltonii,"李渤生,程树志",4069,19830414,西藏自治区,850,半常绿雨林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01304989.jpg,,,,,,,,,, +苹婆属,Sterculia hamiltonii,倪志诚,161,19830501,西藏,1000,河谷常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0004602.jpg,,,,,,,,,, +,Sterculia lanceifolia,"郭永杰, 王雨华, 杨立新, 李姗",18CS16910,20180511,西藏,1146,村边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484943.jpg,,,,,,,,,, +西蜀苹婆,Sterculia lanceifolia,张顺成,9711050,19971202,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/100471.jpg,,,,,,,,,, +西蜀苹婆,Sterculia lanceifolia,美登木调查队,13930,19760311,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/012910.jpg,,,,,,,,,, +大花棒果芥,Sterigmostemum grandiflorum,中国科学院青甘调查队,475,19590616,青海省,4270,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01123506.jpg,,,,,,,,,, +大花棒果芥,Sterigmostemum grandiflorum,中国科学院青甘调查队,361,19590720,青海,,山间宽谷,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0164040.jpg,,,,,,,,,, +,Stilpnolepis intricata,黄兆华,215,19800923,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01822683.jpg,,,,,,,,,, +,Stilpnolepis intricata,,1935,19640917,甘肃省,,沙丘冲沟内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776635.jpg,,,,,,,,,, +,Stilpnolepis intricata,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1337-3030,20190805,甘肃,1801,荒漠草原,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1476751.jpg,,,,,,,,,, +异针茅,Stipa aliena,王金亭,3787,19610828,西藏自治区,4500,山梁 尤以坡脚为多,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233254.jpg,,,,,,,,,, +异针茅,Stipa aliena,胡叔良,122,19560809,甘肃省,2870,山谷阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233284.jpg,,,,,,,,,, +异针茅,Stipa aliena,,456,19640728,青海省,4100,盆地高岗地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082891.jpg,,,,,,,,,, +狼针草,Stipa baicalensis,L.Chanet et J.H.Serre Peres Lazaristes,2940,19300712,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244546.jpg,,,,,,,,,, +狼针草,Stipa baicalensis,胡叔良,5,19560914,河北省,1600,东缓,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233302.jpg,,,,,,,,,, +狼针草,Stipa baicalensis,胡海花,XM241-2,20150807,内蒙古自治区,1115~923,石山及山下草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233265.jpg,,,,,,,,,, +短花针茅,Stipa breviflora,"李安仁,朱家柟",5747,19580619,新疆维吾尔自治区,1700,河谷阶地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233271.jpg,,,,,,,,,, +短花针茅,Stipa breviflora,黄河队,5488,19560711,宁夏回族自治区,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094640.jpg,,,,,,,,,, +短花针茅,Stipa breviflora,中苏队,75,19600800,内蒙古自治区,,山前平原棕钙土,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078669.jpg,,,,,,,,,, +长芒草,Stipa bungeana,PE西藏考察队,7529,20180619,西藏自治区,3270,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332978.jpg,,,,,,,,,, +长芒草,Stipa bungeana,刘继孟,1166,19570616,山西省,1100,山坡田地边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233280.jpg,,,,,,,,,, +长芒草,Stipa bungeana,"李安仁,朱家柟",8209,19580906,新疆维吾尔自治区,1800,山谷阶地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233277.jpg,,,,,,,,,, +针茅,Stipa capillata,秦仁昌,173,19560714,新疆维吾尔自治区,1500,缓坡放荒地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309007.jpg,,,,,,,,,, +针茅,Stipa capillata,Shavrova P.,s.n.,20080810,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02089520.jpg,,,,,,,,,, +针茅,Stipa capillata,"石硕,祝东立,祝振清",SZ3700,20140806,河北省,1248,石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031975.jpg,,,,,,,,,, +大针茅,Stipa grandis,陈全胜,CF-0011-316,20170827,内蒙古自治区,558,石质山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246895.jpg,,,,,,,,,, +大针茅,Stipa grandis,王作宾,17233,19530814,甘肃省,1400~1800,堡子腰山见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233264.jpg,,,,,,,,,, +大针茅,Stipa grandis,黄河队,8075,19560808,陕西省,,山坡阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094555.jpg,,,,,,,,,, +东方针茅,Stipa orientalis,李安仁,10266,19590512,新疆维吾尔自治区,530,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233262.jpg,,,,,,,,,, +东方针茅,Stipa orientalis,黄河队,5468,19560711,宁夏回族自治区,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094556.jpg,,,,,,,,,, +东方针茅,Stipa orientalis,Revushkin A.S.,s.n.,19890700,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02089519.jpg,,,,,,,,,, +毛疏花针茅,Stipa penicillata var. hirsuta,"郭本兆,王为义",11989,19750810,青海省,3500,干山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00707147.jpg,,,,,,,,,, +毛疏花针茅,Stipa penicillata var. hirsuta,青甘队,917,1959/7/22,青海,3500,,一年生草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0169804.jpg,,,,,,,,,, +甘青针茅,Stipa przewalskyi,山西队,547,19560618,山西省,,阳处山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233304.jpg,,,,,,,,,, +甘青针茅,Stipa przewalskyi,张经炜,2534,19610528,西藏自治区,4400,冰山沉积物 亚高山草甸甸土,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075264.jpg,,,,,,,,,, +甘青针茅,Stipa przewalskyi,洮河队,3377,19570615,甘肃省,2400,山坡 阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043166.jpg,,,,,,,,,, +紫花针茅,Stipa purpurea,"李安仁,朱家柟",6060,19580721,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233267.jpg,,,,,,,,,, +紫花针茅,Stipa purpurea,王金亭,3743,19610811,西藏自治区,4600,山上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233256.jpg,,,,,,,,,, +狭穗针茅,Stipa regeliana,"李安仁,朱家柟",6513,19580815,新疆维吾尔自治区,3100,山谷冲积平原 植被类型高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233269.jpg,,,,,,,,,, +狭穗针茅,Stipa regeliana,王金亭,3746,19610811,西藏自治区,4600,山上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233255.jpg,,,,,,,,,, +,Stipa richteriana,关克俭,644,19570606,新疆维吾尔自治区,,荒漠,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233276.jpg,,,,,,,,,, +,Stipa richteriana,,s.n.,19140517,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01677990.jpg,,,,,,,,,, +,Stipa richteriana,"张经炜,王金亭",1176,19730822,西藏自治区,4550,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469483.jpg,,,,,,,,,, +昆仑针茅,Stipa roborowskyi,王金亭,3677,19610802,西藏自治区,4600,干的湖积物上 沙质土上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233257.jpg,,,,,,,,,, +座花针茅,Stipa subsessiliflora,王金亭,3666,19610802,西藏自治区,4550,沙丘及河谷沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233186.jpg,,,,,,,,,, +座花针茅,Stipa subsessiliflora,郭柯,K-121,19900713,青海省,4770,高寒草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099577.jpg,,,,,,,,,, +红果树,Stranvaesia davidiana var. davidiana,滇东北队,261,19720819,云南省,1750,山谷开阔处杂木林缘,,有果无花,https://image.cvh.ac.cn/files/l/KUN/741726.jpg,,,,,,,,,, +红果树,Stranvaesia davidiana var. davidiana,凌云普查队,4.51E+14,20150818,广西壮族自治区,1280,,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI063227.jpg,,,,,,,,,, +红果树,Stranvaesia davidiana var. davidiana,蓝开敏,98-0219,19980731,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/GFS/GFS0002090.jpg,,,,,,,,,, +波叶红果树,Stranvaesia davidiana var. undulata,Bo Liu,249,20100107,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02101843.jpg,,,,,,,,,, +波叶红果树,Stranvaesia davidiana var. undulata,刘彬彬,2238,20150714,湖北省,1408,溪沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02080167.jpg,,,,,,,,,, +波叶红果树,Stranvaesia davidiana var. undulata,刘彬彬,2556,20151028,广西壮族自治区,1972,山坡杂木林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02071340.jpg,,,,,,,,,, +,Stranvaesia nussia,G.Forrest,11855,19130800,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00739340.jpg,,,,,,,,,, +印缅红果树,Stranvaesia nussia,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00075384.jpg,,,,,,,,,, +,Streptolirion volubile subsp. volubile,青藏队植被组,2907,19740831,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060738.jpg,,,,,,,,,, +,Streptolirion volubile subsp. volubile,"张寿洲,王忠涛,杨建芬等",885,20130925,四川省,,土生,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021791.jpg,,,,,,,,,, +,Streptolirion volubile subsp. volubile,北京所横断山队,3408,19810822,云南省,2500~2700,高山栎林下湿地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01191657.jpg,,,,,,,,,, +扭柄花,Streptopus obtusatus,"Jin Xh,Wang LS,Wang Q et al.",ST1768,20130803,云南省,3700~4231,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01978491.jpg,,,,,,,,,, +扭柄花,Streptopus obtusatus,FLPH Tibet Expedition,12-1641,20120919,西藏自治区,3774,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966613.jpg,,,,,,,,,, +扭柄花,Streptopus obtusatus,唐昌林,1686,19670802,甘肃省,3150,密林下阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948590.jpg,,,,,,,,,, +小花扭柄花,Streptopus parviflorus,HK kadoorie PT,3504,20020500,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867502.jpg,,,,,,,,,, +小花扭柄花,Streptopus parviflorus,,,19170530,重庆市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01867498.jpg,,,,,,,,,, +小花扭柄花,Streptopus parviflorus,,13190,19760725,四川省,2600,潮湿林下沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01867497.jpg,,,,,,,,,, +腋花扭柄花,Streptopus simplex,PE西藏考察队,7492,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332890.jpg,,,,,,,,,, +腋花扭柄花,Streptopus simplex,J. I. Jeon et al.,SI1490,20100812,四川省,3007,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01896682.jpg,,,,,,,,,, +大独脚金,Striga masuria,钟明哲,3417,20080917,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913578.jpg,,,,,,,,,, +大独脚金,Striga masuria,"刘冰,叶建飞",336,20100715,四川省,1797,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01884409.jpg,,,,,,,,,, +大独脚金,Striga masuria,王德群,3723,19800000,安徽省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01481336.jpg,,,,,,,,,, +顶头马蓝,Strobilanthes affinis,邓云飞等,15076,20001002,广西壮族自治区,900,山地、路旁、灌丛,肥土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011434.jpg,,,,,,,,,, +顶头马蓝,Strobilanthes affinis,王功范,1-0902,20031006,贵州省,750,山坡荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620600.jpg,,,,,,,,,, +顶头马蓝,Strobilanthes affinis,周仕顺,492,20020920,云南省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01543356.jpg,,,,,,,,,, +山一笼鸡,Strobilanthes aprica,,203,19640709,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00055644.jpg,,,,,,,,,, +,Strobilanthes aprica,彭玉兰、赵会礼,6273,20030803,四川省,1900,云南松林下,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0187612.jpg,,,,,,,,,, +,Strobilanthes aprica,,,19610723,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/068973.jpg,,,,,,,,,, +翅柄马蓝,Strobilanthes atropurpurea var. atropurpurea,张代贵,zdg1240,20141002,湖南省,250,,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU05874.jpg,,,,,,,,,, +金足草,Strobilanthes capitata,"高信芬, 张良, 李蒙, 张桥蓉, 亚吉东, 崔光帅",QTP-II08-T05-000007,20171123,,269,along brook,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487069.jpg,,,,,,,,,, +头花马蓝,Strobilanthes capitata,王洪,8348,20051123,云南省,1750,次生林中,草本,,https://image.cvh.ac.cn/files/l/HITBC/0025910.jpg,,,,,,,,,, +,Strobilanthes extensa,"李渤生,程树志",2156,19821213,西藏自治区,1600~1850,常绿阔叶林下带林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620732.jpg,,,,,,,,,, +,Strobilanthes extensa,,1006,19940920,云南省,,Limestone rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620728.jpg,,,,,,,,,, +,Strobilanthes extensa,川经植,1814,19590820,四川省,,阳处岩石上山坡疏密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620723.jpg,,,,,,,,,, +腺毛马蓝,Strobilanthes forrestii,刘恩德等,2713,20100813,云南省,2853,under pinus forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885340.jpg,,,,,,,,,, +腺毛马蓝,Strobilanthes forrestii,,7209,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620737.jpg,,,,,,,,,, +,Strobilanthes helicta,S. K. Wu et al.,2487,19951026,云南省,1900~2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882261.jpg,,,,,,,,,, +,Strobilanthes helicta,"李渤生,程树志",927,19820915,西藏自治区,2000~2200,近常绿阔叶林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620964.jpg,,,,,,,,,, +,Strobilanthes henryi,赵佐成,1213,19930927,四川省,850,路边湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882264.jpg,,,,,,,,,, +,Strobilanthes henryi,T.T.Yu,22036,19380625,云南省,1700,Mt.rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647719.jpg,,,,,,,,,, +,Strobilanthes inflata var. gongshanensis,刘恩德等,2804,20101006,云南省,1158,"streamside, in thickets",,有花有果,https://image.cvh.ac.cn/files/l/PE/01885341.jpg,,,,,,,,,, +,Strobilanthes lachenensis,,75-356,19750626,西藏自治区,,阔叶杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620806.jpg,,,,,,,,,, +,Strobilanthes lachenensis,王汉臣,2372,19420616,云南省,,半山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620797.jpg,,,,,,,,,, +,Strobilanthes lachenensis,"高信芬,彭玉兰,孙庚",3347,20020911,四川省,2650,常绿阔叶林下路边水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620795.jpg,,,,,,,,,, +,Strobilanthes mastersii,青藏队,74-5022,19740903,西藏自治区,1200,山坡阔中叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620734.jpg,,,,,,,,,, +,Strobilanthes mastersii,G.Forrest,8862,19120800,云南省,1666,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620735.jpg,,,,,,,,,, +,Strobilanthes medogensis,"李渤生,程树志",814,19820911,西藏自治区,2450,常绿阔叶林下一层草木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620876.jpg,,,,,,,,,, +,Strobilanthes medogensis,"Ludlow, Francis & Sherriff, George",2336,10-Jul-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00133439.jpg,,,,,,,,,, +,Strobilanthes nemorosa,刘恩德等,2718,20100814,云南省 ,3104,"Streamside, in thickets",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1217468.jpg,,,,,,,,,, +琴叶马蓝,Strobilanthes nemorosa,马云桐,田永生,侯廷府,刘恩德,13PXA012,20130618,云南,2971,,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1386106.jpg,,,,,,,,,, +,Strobilanthes nemorosa,Rev. P?¨re P. G. Farges,1408,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00094308.jpg,,,,,,,,,, +,Strobilanthes oresbia,王启无,65195,19350800,西藏自治区,3000,Thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620826.jpg,,,,,,,,,, +,Strobilanthes oresbia,T.T.Yu,20074,19380903,云南省,2500~2800,Margin of thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620823.jpg,,,,,,,,,, +,Strobilanthes penstemonoides,陈建帆等,10767,,台湾省,2000~2200,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1248974.jpg,,,,,,,,,, +圆苞马蓝,Strobilanthes penstemonoides,李小杰,LiXJ316,20130113,四川,504,路边荒地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1386122.jpg,,,,,,,,,, +,Strobilanthes penstemonoides,"张良, 亚吉东, 张桥蓉, 崔光帅, 赵旺林",QTP-II08-T05-000629,20171215,,2322,in the evergreen forest,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483727.jpg,,,,,,,,,, +,Strobilanthes versicolor,PE西藏考察队,7889,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332367.jpg,,,,,,,,,, +,Strobilanthes versicolor,"杨亲二,袁琼",Yangqe2596,20080914,云南省,3300,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020707.jpg,,,,,,,,,, +云南马蓝,Strobilanthes yunnanensis,刘恩德等,2570,20100803,四川省,2368,"streamside,humid",,有花无果,https://image.cvh.ac.cn/files/l/PE/01916848.jpg,,,,,,,,,, +云南马蓝,Strobilanthes yunnanensis,白水江考察队,1461,20060708,甘肃省,800,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01884532.jpg,,,,,,,,,, +云南马蓝,Strobilanthes yunnanensis,生态室高原组,15465,19800910,西藏自治区,2400,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620912.jpg,,,,,,,,,, +长鞘菹草,Stuckenia pamirica,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,5-73,20180813,西藏,5077.1,湖岸湿地,草本,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0193521.jpg,,,,,,,,,, +大花野茉莉,Styrax grandiflorus,刘恩德,1583,20060412,云南省,1700,公路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01916335.jpg,,,,,,,,,, +大花野茉莉,Styrax grandiflorus,S.C.Ng,3035b,20010423,广东省,500~800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647298.jpg,,,,,,,,,, +西藏野茉莉,Styrax hookeri,毛品一,427,19560906,云南省,2500,湿润疏林中,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1227082.jpg,,,,,,,,,, +西藏安息香,Styrax hookeri,姚淦等,3530,19900828,西藏自治区,800,疏林,乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00007149.jpg,,,,,,,,,, +,Styrax hookeri,"Forrest, George",18249,19-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00105278.jpg,,,,,,,,,, +楚雄安息香,Styrax limprichtii,C.S.Chang H.Kim et al.,SI1164,20100703,四川省,1357,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101967.jpg,,,,,,,,,, +楚雄安息香,Styrax limprichtii,覃海宁等,131,19980408,广西壮族自治区,1250,山地,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02008906.jpg,,,,,,,,,, +瓦山安息香,Styrax perkinsiae,管中天,7779,19590705,四川省,1820,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591639.jpg,,,,,,,,,, +瓦山安息香,Styrax perkinsiae,青藏队,6603,19820520,云南省,2600,山坡 针阔混交林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132155.jpg,,,,,,,,,, +瓦山安息香,Styrax perkinsiae,George Forrest,21112,19220400,西藏自治区,2667,In open mixed forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/00974363.jpg,,,,,,,,,, +齿叶安息香,Styrax serrulatus,黄凤生,8521-219,19870627,浙江省,130,溪边石壁山,,无花无果,https://image.cvh.ac.cn/files/l/PE/01647348.jpg,,,,,,,,,, +齿叶安息香,Styrax serrulatus,C.O.Levine,s.n.,19170320,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604295.jpg,,,,,,,,,, +齿叶安息香,Styrax serrulatus,陶国达,21398,19780302,云南省,,林中干燥,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591663.jpg,,,,,,,,,, +角果碱蓬,Suaeda corniculata,中苏队,73,19600900,内蒙古自治区,,湖盆盐渍土,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078661.jpg,,,,,,,,,, +角果碱蓬,Suaeda corniculata,FLPH Tibet Expedition,12-0064,20120903,西藏自治区,4787,干草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967964.jpg,,,,,,,,,, +角果碱蓬,Suaeda corniculata,侯学煜等,14236,19511015,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01804535.jpg,,,,,,,,,, +碱蓬,Suaeda glauca,侯学煜等,187,19570721,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078239.jpg,,,,,,,,,, +碱蓬,Suaeda glauca,老铁山采集队,363,20080710,辽宁省,,海边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869179.jpg,,,,,,,,,, +碱蓬,Suaeda glauca,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854739.jpg,,,,,,,,,, +盘果碱蓬,Suaeda heterophylla,中苏队,72,19600900,内蒙古自治区,1340,半固定沙丘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078663.jpg,,,,,,,,,, +盘果碱蓬,Suaeda heterophylla,泛喜马拉雅植物志巴基斯坦采集队,FPH-1319,20120908,新疆维吾尔自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004766.jpg,,,,,,,,,, +盘果碱蓬,Suaeda heterophylla,中德队,496,19560817,辽宁省,,海边盐碱地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00527321.jpg,,,,,,,,,, +奇异碱蓬,Suaeda paradoxa,李振宇等,12347,20120727,新疆维吾尔自治区,,草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01921106.jpg,,,,,,,,,, +奇异碱蓬,Suaeda paradoxa,青甘队,389,19590722,青海省,2990,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00527370.jpg,,,,,,,,,, +平卧碱蓬,Suaeda prostrata,H. Freitag,28312,19960927,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01896232.jpg,,,,,,,,,, +平卧碱蓬,Suaeda prostrata,黄河调查队,1092,19540910,陕西省,,山谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01567142.jpg,,,,,,,,,, +盐地碱蓬,Suaeda salsa,谷仱巧,,19550704,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082478.jpg,,,,,,,,,, +盐地碱蓬,Suaeda salsa,黄河队,208,19540928,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081900.jpg,,,,,,,,,, +盐地碱蓬,Suaeda salsa,M. Lomonosova,716,20041007,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896233.jpg,,,,,,,,,, +,Sunipia andersonii,金效华,10816,20110409,云南省,1500~1700,tropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033440.jpg,,,,,,,,,, +黄花大苞兰,Sunipia andersonii,李剑武,2743,20121029,云南,1800,山地雨林,附生草本,有花无果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028255.jpg,,,,,,,,,, +,Sunipia bicolor,金效华,8525,20061004,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825396.jpg,,,,,,,,,, +二色大苞兰,Sunipia bicolor,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11925,20161115,西藏,2001,林缘草地,附生植物,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445582.jpg,,,,,,,,,, +,Sunipia candida,Xiaohua Jin,16107,20150718,云南省,1600,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233176.jpg,,,,,,,,,, +,Sunipia candida,Southeast Tibet Exp.Team,STET1880,20100801,西藏自治区,1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033099.jpg,,,,,,,,,, +,Sunipia intermedia,Jin & Ting Zhang,88,20080515,云南省,2110,forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033438.jpg,,,,,,,,,, +,Sunipia intermedia,Southeast Tibet Exp.Team,SET-ET1284,20090905,西藏自治区,1500,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033100.jpg,,,,,,,,,, +,Swertia asarifolia,"Delavay, J.M.",3775,1889-7-18,,,,,,https://image.cvh.ac.cn/files/l/P/P00526769.jpg,,,,,,,,,, +獐牙菜,Swertia bimaculata,陈全胜,CF06-4069,20180627,内蒙古自治区,1668,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246265.jpg,,,,,,,,,, +獐牙菜,Swertia bimaculata,"马丹丹,夏国华",ZJFC018,20070925,浙江省,1000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104698.jpg,,,,,,,,,, +獐牙菜,Swertia bimaculata,紫云山队,1274,19840904,湖南省,1200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104651.jpg,,,,,,,,,, +叶萼獐牙菜,Swertia calycina,G.Forrest,23212,19220900,云南省,4333~4833,Open alpine meadows and slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01476634.jpg,,,,,,,,,, +叶萼獐牙菜,Swertia calycina,T.T.Yu,12971,19370829,四川省,3700,Marin of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01441426.jpg,,,,,,,,,, +普兰獐牙菜,Swertia ciliata,,10883,19900919,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196313.jpg,,,,,,,,,, +普兰獐牙菜,Swertia ciliata,生物研究所西藏考察队,4085,74.08.20,新疆维吾尔自治区 ,3700,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00030360.jpg,,,,,,,,,, +西南獐牙菜,Swertia cincta,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",659,20021106,云南省,2530,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101580.jpg,,,,,,,,,, +西南獐牙菜,Swertia cincta,"王泽欢,陈丽",190,20100909,四川省,2200,along road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916607.jpg,,,,,,,,,, +短筒獐牙菜,Swertia connata,"张新时,郭柯",天山-390,19860804,新疆维吾尔自治区,2605,亚高山灌丛草甸 平阴坡 T-145,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080879.jpg,,,,,,,,,, +短筒獐牙菜,Swertia connata,西植新疆采集队,2645,1978/8/21,新疆,1330,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0338766.jpg,,,,,,,,,, +心叶獐牙菜,Swertia cordata,M.K.Li,821,19391023,云南省,2000,Mt.grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01441510.jpg,,,,,,,,,, +心叶獐牙菜,Swertia cordata,"李渤生,李辉,阳艺",13440,19900903,西藏自治区,3100~3300,亚高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196318.jpg,,,,,,,,,, +心叶獐牙菜,Swertia cordata,李鸣冈,821,19391023,云南省 ,2000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0532724.jpg,,,,,,,,,, +楔叶獐牙菜,Swertia cuneata,西藏中草药普查队,1825,19720905,西藏自治区,3800~4000,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00004383.jpg,,,,,,,,,, +楔叶獐牙菜,Swertia cuneata,张挺,刘成,何华杰,19CS18723,20190910,西藏,4488,高山灌草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506013.jpg,,,,,,,,,, +观赏獐牙菜,Swertia decora,T.T.Yu,5054,19370900,云南省,,Grass land,,有花无果,https://image.cvh.ac.cn/files/l/PE/01441547.jpg,,,,,,,,,, +观赏獐牙菜,Swertia decora,,12586,19380923,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01441543.jpg,,,,,,,,,, +丽江獐牙菜,Swertia delavayi,"H.Li,S.X.Yang,R.Li etc.",800,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091316.jpg,,,,,,,,,, +丽江獐牙菜,Swertia delavayi,任再金,3952,19931106,四川省,2900,高山上草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647675.jpg,,,,,,,,,, +丽江獐牙菜,Swertia delavayi,G.Forrest,20647,19210900,西藏自治区,,Open dry alpine pasture,,有花无果,https://image.cvh.ac.cn/files/l/PE/01441560.jpg,,,,,,,,,, +歧伞獐牙菜,Swertia dichotoma,孙学刚等,20010175,20010812,甘肃省,2800,山坡灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104632.jpg,,,,,,,,,, +歧伞獐牙菜,Swertia dichotoma,努尔巴衣.阿不都沙力克,35611,20050800,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883504.jpg,,,,,,,,,, +歧伞獐牙菜,Swertia dichotoma,黄河队,61,19570509,山西省,1400,潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01781034.jpg,,,,,,,,,, +北方獐牙菜,Swertia diluta,周口店考察队,220,20080927,北京市,126,草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112081.jpg,,,,,,,,,, +北方獐牙菜,Swertia diluta,何叶祺,4189,19590722,甘肃省,2800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104697.jpg,,,,,,,,,, +北方獐牙菜,Swertia diluta,云台山采集队,1026,20080922,河南省,,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022581.jpg,,,,,,,,,, +高獐牙菜,Swertia elata,"郎楷永,李良千,费勇",2462,19830729,四川省,4000,云杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104703.jpg,,,,,,,,,, +高獐牙菜,Swertia elata,,s.n.,19810711,云南省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01446036.jpg,,,,,,,,,, +,Swertia endotricha,"Forrest, George",10955,13-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00001932.jpg,,,,,,,,,, +素色獐牙菜,Swertia erythrosticta var. epunctata,周立华、孙立南,1944,19900826,青海省,2930,河谷,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00004376.jpg,,,,,,,,,, +红直獐牙菜(原变种),Swertia erythrosticta var. erythrosticta,蔡杰,刘成,何谐,吕林玲,16CS11753,20160828,四川,2847,路边山坡灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435412.jpg,,,,,,,,,, +紫萼獐牙菜,Swertia forrestii,青藏队,13865,19830910,四川省,4400,山坡岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01845106.jpg,,,,,,,,,, +紫萼獐牙菜,Swertia forrestii,北京所横断山队,2150,19810728,云南省,3800~4200,高山草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555556.jpg,,,,,,,,,, +紫萼獐牙菜,Swertia forrestii,K.W.Liou,L.7039,19360907,青海省,2200,Lieux herbeux des vallees,,有花无果,https://image.cvh.ac.cn/files/l/PE/01441857.jpg,,,,,,,,,, +抱茎獐牙菜,Swertia franchetiana,PE西藏队,PE6751,20170916,西藏自治区,3013,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330487.jpg,,,,,,,,,, +抱茎獐牙菜,Swertia franchetiana,"H.Li,S.X.Yang,R.Li etc.",649,20021106,云南省,2530,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110341.jpg,,,,,,,,,, +细花獐牙菜,Swertia graciliflora,泛喜马拉雅植物志巴基斯坦采集队,FPH-1390,20120909,新疆维吾尔自治区,,沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004632.jpg,,,,,,,,,, +细花獐牙菜,Swertia graciliflora,V.Nikitin,s.n.,19350813,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01441882.jpg,,,,,,,,,, +,Swertia gyacaensis,西藏中草药普查队,4374,19720831,西藏自治区,4300,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01441903.jpg,,,,,,,,,, +矮獐牙菜,Swertia handeliana,"应俊生,洪德元",651191,19650815,西藏自治区,4200,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01441912.jpg,,,,,,,,,, +矮獐牙菜,Swertia handeliana,T.T.Yu,19785,19380808,云南省,4200,Alpine grassland,,有花无果,https://image.cvh.ac.cn/files/l/PE/01441905.jpg,,,,,,,,,, +粗壮獐牙菜,Swertia hookeri,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0407,20130805,西藏自治区,4496,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000827.jpg,,,,,,,,,, +黄花獐牙菜,Swertia kingii,,1656,19720831,西藏自治区,3400~3500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496010.jpg,,,,,,,,,, +大籽獐牙菜,Swertia macrosperma,赵佐成,4770,19931026,四川省,2300,水沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02020713.jpg,,,,,,,,,, +大籽獐牙菜,Swertia macrosperma,广西队,697,19530600,广西壮族自治区,,荒坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009221.jpg,,,,,,,,,, +大籽獐牙菜,Swertia macrosperma,C.M.Wang et al.,W05174,20010808,台湾省,3100,On roadside of mixed coniferous-broadleaf forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916610.jpg,,,,,,,,,, +膜边獐牙菜,Swertia marginata,铁卜加草原改良站,72146,19720706,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647677.jpg,,,,,,,,,, +膜边獐牙菜,Swertia marginata,"清水建美,近田文弘等",375,19910730,新疆维吾尔自治区,2550,左侧谷地上游,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467816.jpg,,,,,,,,,, +膜叶獐牙菜,Swertia membranifolia,C.W.Wang,66385,19350900,西藏自治区,3000,Dry slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01462209.jpg,,,,,,,,,, +膜叶獐牙菜,Swertia membranifolia,C.W.Wang,70200,19350900,云南省,2700,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01462208.jpg,,,,,,,,,, +膜叶獐牙菜,Swertia membranifolia,Y.Tsiang,11654,19330824,云南省 ,2500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0532883.jpg,,,,,,,,,, +川西獐牙菜,Swertia mussoti,四川植物采集记录表,9615,19750814,四川省,2000,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104696.jpg,,,,,,,,,, +川西獐牙菜,Swertia mussoti,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",686,20021106,云南省,2530,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101389.jpg,,,,,,,,,, +宽丝獐牙菜,Swertia paniculata,,1901,19941008,云南省,3045,Deciduous forest by roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440098.jpg,,,,,,,,,, +宽丝獐牙菜,Swertia paniculata,Favre,1211,20120906,云南省 ,3156,along road in disturbed vegetation and secondary forests,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1247716.jpg,,,,,,,,,, +开展獐牙菜,Swertia patula,K.M.Feng,9284,19420827,云南省,,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01462302.jpg,,,,,,,,,, +开展獐牙菜,Swertia patula,俞德俊,1647,19320000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01462294.jpg,,,,,,,,,, +长柄獐牙菜,Swertia petiolata,,4523,19720829,西藏自治区,4300~4500,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00004446.jpg,,,,,,,,,, +,Swertia petiolata,J.F.Duthie,8,18990725,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU047434.jpg,,,,,,,,,, +片马獐牙菜,Swertia pianmaensis,M.K.Li,2110,19391126,云南省 ,2000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0532905.jpg,,,,,,,,,, +片马獐牙菜,Swertia pianmaensis,武素功,8249,19640727,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/428428.jpg,,,,,,,,,, +祁连獐牙菜,Swertia przewalskii,,720,19640825,青海省,4300,阴坡杜鹃山柳灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083113.jpg,,,,,,,,,, +祁连獐牙菜,Swertia przewalskii,青藏队植被组,9958,19760901,西藏自治区,4400,草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01484676.jpg,,,,,,,,,, +毛獐牙菜,Swertia pubescens,尹志坚等,2254,20090916,云南省,3000,forest margins,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921175.jpg,,,,,,,,,, +毛獐牙菜,Swertia pubescens,K.Ungar,s.n.,19210805,,2200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01462503.jpg,,,,,,,,,, +紫红獐牙菜,Swertia punicea,"H.Li,S.X.Yang,R.Li etc.",1065,20021110,云南省,2570,林(中)下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110741.jpg,,,,,,,,,, +紫红獐牙菜,Swertia punicea,,626,19640812,青海省,3900,通天河河谷階地农田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083114.jpg,,,,,,,,,, +紫红獐牙菜,Swertia punicea,,Pei 8085,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01476658.jpg,,,,,,,,,, +藏獐牙菜,Swertia racemosa,西藏中草药普查队,1548,19720827,西藏自治区,3600,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01496001.jpg,,,,,,,,,, +藏獐牙菜,Swertia racemosa,M.Mikage etc.,9684128,19960909,,3700,Alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264707.jpg,,,,,,,,,, +藏獐牙菜,Swertia racemosa,"张挺, 刘成, 亚吉东",18CS17688,20180916,西藏,3649,林缘路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487364.jpg,,,,,,,,,, +圆腺獐牙菜,Swertia rotundiglandula,Joseph F.Rock,23084,19320500,云南省,4166,Alopine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01462526.jpg,,,,,,,,,, +圆腺獐牙菜,Swertia rotundiglandula,,23084,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00060599.jpg,,,,,,,,,, +圆腺獐牙菜,Swertia rotundiglandula,邓良,5590,19571114,广东省,1800,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00060766.jpg,,,,,,,,,, +花葶獐牙菜,Swertia scapiformis,刘振书,1503,19340000,四川省,3700,Mt.slope grassy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01462534.jpg,,,,,,,,,, +花葶獐牙菜,Swertia scapiformis,青藏队补点队,751534,19750825,西藏自治区,4550~4600,山顶岩生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01462530.jpg,,,,,,,,,, +细瘦獐牙菜,Swertia tenuis,刘建全,225,19921003,云南省,3800,杜鹃林下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00004654.jpg,,,,,,,,,, +细瘦獐牙菜,Swertia tenuis,刘照光,635,1971-9 1,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0116907.jpg,,,,,,,,,, +,Swertia tenuis,C.W.Wang,70349,1935,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0050107.jpg,,,,,,,,,, +四数獐牙菜,Swertia tetraptera,何小兰,1182,19890724,青海省,3300,灌丛草甸林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104692.jpg,,,,,,,,,, +四数獐牙菜,Swertia tetraptera,赵清盛,1261,19890729,四川省,3700,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02104690.jpg,,,,,,,,,, +四数獐牙菜,Swertia tetraptera,D.E.Boufford et al.,41725,20090802,西藏自治区,3895,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916585.jpg,,,,,,,,,, +大药獐牙菜,Swertia tibetica,"D.E.Boufford,K.Fujikawa,S.L.Kelley etc.",39836,20070816,四川省,2976,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101960.jpg,,,,,,,,,, +大药獐牙菜,Swertia tibetica,中甸队,1756,19620831,云南省,4000,冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01462593.jpg,,,,,,,,,, +轮叶獐牙菜,Swertia verticillifolia,郭本兆、王为义,22650,19790816,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00004452.jpg,,,,,,,,,, +轮叶獐牙菜,Swertia verticillifolia,魏来、郝加琛,15543,20150810,西藏,4561,山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0026044.jpg,,,,,,,,,, +绿花獐牙菜,Swertia virescens,"李渤生,程树志",1149,19821008,西藏自治区,4070~4370,高山灌丛及湖边草甸间常见种,,无花有果,https://image.cvh.ac.cn/files/l/PE/01446038.jpg,,,,,,,,,, +绿花獐牙菜,Swertia virescens,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,870,20121016,西藏,,高山草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/BJM/0230402.jpg,,,,,,,,,, +绿花獐牙菜,Swertia virescens,谢登峰、蔡竞、秦换换,CJ-006-A-029,20200919,四川,3402.39m,灌草丛山坡,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02061309.jpg,,,,,,,,,, +华北獐牙菜,Swertia wolfgangiana,关克俭,1751,19590801,山西省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0290796.jpg,,,,,,,,,, +华北獐牙菜,Swertia wolfgangiana,黄河队,3554,19560908,甘肃省,2600,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0084871.jpg,,,,,,,,,, +少花獐牙菜,Swertia younghusbandii,PE西藏队,PE5286,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330693.jpg,,,,,,,,,, +合头草,Sympegma regelii,"孙世洲,孔令韶",82080,19820815,青海省,2900,山脚石坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098999.jpg,,,,,,,,,, +合头草,Sympegma regelii,"李渤生,郑度,张百明",10210,19870623,新疆维吾尔自治区,3200,地荒漠时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080757.jpg,,,,,,,,,, +合头草,Sympegma regelii,,107,19580921,甘肃省,,坡向 西北,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044778.jpg,,,,,,,,,, +短星菊,Symphyotrichum ciliatum,孙阎;徐洪亮,SunY539,20200820,黑龙江,145,村旁,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1553973.jpg,,,,,,,,,, +聚合草,Symphytum officinale,巴山采集队,86,20080707,重庆市,1580,溪边路旁林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850943.jpg,,,,,,,,,, +聚合草,Symphytum officinale,任再金,人3724,19930516,四川省,2450,园内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648927.jpg,,,,,,,,,, +聚合草,Symphytum officinale,De Yuang Hong,s.n.,19810524,,170~200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01576714.jpg,,,,,,,,,, +薄叶山矾,Symplocos anomala,"朱大海,王永,王斌等",75,20020410,四川省,800,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115005.jpg,,,,,,,,,, +薄叶山矾,Symplocos anomala,,,19731116,广西壮族自治区,200,砂无岩,,无花无果,https://image.cvh.ac.cn/files/l/PE/02008799.jpg,,,,,,,,,, +薄叶山矾,Symplocos anomala,何国生,9776,20000813,福建省,800,混交林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01975636.jpg,,,,,,,,,, +,Symplocos ascidiiformis,"李渤生,程树志",4550,19830507,西藏自治区,1200,Ficus林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506260.jpg,,,,,,,,,, +,Symplocos ascidiiformis,绿春队,1859,19740611,云南省,1400,常阔林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00769937.jpg,,,,,,,,,, +黄牛奶树,Symplocos cochinchinensis var. laurina,刘恩德,向春雷等,471,20110529,云南省,2141,沟谷林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241550.jpg,,,,,,,,,, +黄牛奶树,Symplocos cochinchinensis var. laurina,T. K. Woo,Ma,9035,20020709,香港,,On roadside,Trees,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00613589.jpg,,,,,,,,,, +黄牛奶树,Symplocos cochinchinensis var. laurina,许为斌、吴望辉,NM330,20100819,广西壮族自治区,394,山地(土山),,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00215776.jpg,,,,,,,,,, +坚木山矾,Symplocos dryophila,,24558,19591113,云南省,,灌木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01588822.jpg,,,,,,,,,, +坚木山矾,Symplocos dryophila,"李渤生,倪志诚,程树志",6864,19830827,西藏自治区,2300~2400,黄杉林下优势灌木之一,,无花有果,https://image.cvh.ac.cn/files/l/PE/01506283.jpg,,,,,,,,,, +腺斑山矾,Symplocos glandulosopunctata,"李渤生,程树志",1081,19820926,西藏自治区,2100~2300,常绿阔叶林间,,无花无果,https://image.cvh.ac.cn/files/l/PE/01588825.jpg,,,,,,,,,, +团花山矾,Symplocos glomerata,王启无,66662,19350900,云南省,2500,Under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01588829.jpg,,,,,,,,,, +团花山矾,Symplocos glomerata,"李渤生,程树志等",3612,19830519,西藏自治区,1800,常绿阔叶林下常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506303.jpg,,,,,,,,,, +光亮山矾,Symplocos lucida,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T332,20160919,西藏自治区,2453,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233365.jpg,,,,,,,,,, +光亮山矾,Symplocos lucida,甘启良,2045,20070414,湖北省,1500,山谷杂林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005694.jpg,,,,,,,,,, +光亮山矾,Symplocos lucida,Shu-Mei Liu et al.,197,19951207,台湾省,300,On semi-shaded trailside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01781765.jpg,,,,,,,,,, +白檀,Symplocos paniculata,PE西藏队,PE6295,20170911,西藏自治区,2445,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330559.jpg,,,,,,,,,, +白檀,Symplocos paniculata,张彩飞,2772,20110604,湖南省,1000~800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247267.jpg,,,,,,,,,, +白檀,Symplocos paniculata,"朱大海,王永,尚涛",1896,20030927,四川省,1800,山坡中部林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115887.jpg,,,,,,,,,, +梨叶山矾,Symplocos pyrifolia,H.Ohashi etc.,25632,19670620,Topke Gola,2200,灌木丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/39583.jpg,,,,,,,,,, +梨叶山矾,Symplocos pyrifolia,"左大勋,陈和生,汪嘉熙",,19540703,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00017282.jpg,,,,,,,,,, +梨叶山矾,Symplocos pyrifolia,Suzuki_Tokio,21330,19410420,,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00017318.jpg,,,,,,,,,, +珠仔树,Symplocos racemosa,"张志耘,谢磊等",2016-050,20151205,广西壮族自治区,93,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115362.jpg,,,,,,,,,, +珠仔树,Symplocos racemosa,钟补勤,1138,19260726,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01975616.jpg,,,,,,,,,, +多花山矾,Symplocos ramosissima,蓝开敏,70,19920831,贵州省,1650,缓山坡 疏林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233658.jpg,,,,,,,,,, +多花山矾,Symplocos ramosissima,"刘恩德,方伟,徐洲锋等",4457,20150703,云南省,2593,山路边林灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069370.jpg,,,,,,,,,, +多花山矾,Symplocos ramosissima,红水河植物考察队,89-1412,19890519,广西壮族自治区,1700,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997029.jpg,,,,,,,,,, +山矾,Symplocos sumuntia,谭策铭,951380,19951202,江西省,900,山谷林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115529.jpg,,,,,,,,,, +山矾,Symplocos sumuntia,"Chen Zhiduan,Feng Min,Ma Xintang,Wang Meilin",960250,19960517,重庆市,595,mesic slope in forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115515.jpg,,,,,,,,,, +山矾,Symplocos sumuntia,"董洪进,王泽欢,尹志坚",WM-0085,20160426,云南省,1200~1300,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090879.jpg,,,,,,,,,, +,Symplocos theaefolia,"李渤生,程树志",4428,19830430,西藏自治区,2400~2800,Tsugu 林下时见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01588845.jpg,,,,,,,,,, +,Symplocos theaefolia,K.M.Feng,Feng8765,19401107,云南省,,杂林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01588843.jpg,,,,,,,,,, +绿枝山矾,Symplocos viridissima,H.T.Tsai,61161,19340724,云南省,1000,On rock cliff,,无花无果,https://image.cvh.ac.cn/files/l/PE/01591466.jpg,,,,,,,,,, +绿枝山矾,Symplocos viridissima,广福林区采集队,1146,19551123,广西壮族自治区,740,山谷路旁疏林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846154.jpg,,,,,,,,,, +木核山矾,Symplocos xylopyrena,生态室高原组,14103,19800808,西藏自治区,1550,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506280.jpg,,,,,,,,,, +木核山矾,Symplocos xylopyrena,Pavlos Georgiadis,421,20110221,云南省,1875,Evergreen seasonal hardwood forest with some deciduous trees,,无花有果,https://image.cvh.ac.cn/files/l/PE/01917697.jpg,,,,,,,,,, +木核山矾,Symplocos xylopyrena,C.W.Wang,869920,19400216,云南省 ,1200,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0488795.jpg,,,,,,,,,, +盘状合头菊,Syncalathium disciforme,"张建文,杨斌,陈洪梁",Zh190,20130820,四川省,4220,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043050.jpg,,,,,,,,,, +盘状合头菊,Syncalathium disciforme,J.F.Rock,13729,19251000,甘肃省,4333,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00852726.jpg,,,,,,,,,, +盘状合头菊,Syncalathium disciforme,H.B.G,1271,19300815,青海省,4400~4700,"steep slopes with mostly kobresia meadows,some lower slopes with potentilla scrub on soft blacvk soil Rocky slope near Peak",,有花有果,https://image.cvh.ac.cn/files/l/PE/00852725.jpg,,,,,,,,,, +合头菊,Syncalathium kawaguchii,刘尚武,350,19650809,青海省,4100,河滩沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235740.jpg,,,,,,,,,, +合头菊,Syncalathium kawaguchii,康藏植物考察队,10-1181,20100803,西藏自治区,4648,砂石坡,,,https://image.cvh.ac.cn/files/l/PE/02053732.jpg,,,,,,,,,, +,Syncalathium porphyreum,"Kingdon-Ward, Francis",6113,19-Aug-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00265468.jpg,,,,,,,,,, +,Syncalathium roseum,"D.E.Boufford,J.H.Chen,S.L.Kelley,J.Li,R.H.Ree,H.Su",32013,20040811,西藏自治区,4495,Stony slope above and below road,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1374667.jpg,,,,,,,,,, +,Syncalathium souliei,康藏植物考察队,10-1565,20100810,西藏自治区,4000,林缘草坡,,,https://image.cvh.ac.cn/files/l/PE/02053735.jpg,,,,,,,,,, +,Syncalathium souliei,康藏植物考察队,10-3285,20100904,云南省,4483,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052880.jpg,,,,,,,,,, +,Syncalathium souliei,"陈又生,王泽欢",9292,20090803,四川省,4300,土坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052585.jpg,,,,,,,,,, +尾尖合耳菊,Synotis acuminata,"陈又生,张树仁,于胜祥,卫然",709,20111118,西藏自治区,2855,山谷疏林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233543.jpg,,,,,,,,,, +尾尖合耳菊,Synotis acuminata,"Y.Omori,N.Acharya,K.Fujikawa et al",9930005,19990803,,0,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621198.jpg,,,,,,,,,, +尾尖合耳菊,Synotis acuminata,碧江队,1593,19780802,云南省,0,阔叶林边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/725634.jpg,,,,,,,,,, +翅柄合耳菊,Synotis alata,陈又生,9775,20090911,西藏自治区,3553,山谷林缘草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233547.jpg,,,,,,,,,, +翅柄合耳菊,Synotis alata,陈又生,8055,20080815,云南省,2600,Grassy slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113542.jpg,,,,,,,,,, +密花合耳菊,Synotis cappa,覃海宁等,1984,19981104,广西壮族自治区,1500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997522.jpg,,,,,,,,,, +密花合耳菊,Synotis cappa,D.A.P.,43322,19950218,云南省,1500~2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797314.jpg,,,,,,,,,, +子农合耳菊,Synotis chingiana,陈照宙,53241,19631030,广西壮族自治区,650,低山地 路旁 山谷 疏林下 湿土,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233557.jpg,,,,,,,,,, +子农合耳菊,Synotis chingiana,秦仁昌/R.C.Ching,25320,19401028,云南省,,杂木林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01842008.jpg,,,,,,,,,, +红缨合耳菊,Synotis erythropappa,PE西藏队,PE6379,20170911,西藏自治区,3120,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334087.jpg,,,,,,,,,, +红缨合耳菊,Synotis erythropappa,陈又生,8154,20080917,四川省,2600,Grassy slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113555.jpg,,,,,,,,,, +红缨合耳菊,Synotis erythropappa,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",830,20021107,云南省,2430,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101388.jpg,,,,,,,,,, +聚花合耳菊,Synotis glomerata,陈又生,9739,20090907,云南省,2600~2800,路边草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052758.jpg,,,,,,,,,, +聚花合耳菊,Synotis glomerata,,141,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0621188.jpg,,,,,,,,,, +丽江合耳菊,Synotis lucorum,"陈又生,毕延超",11-087,20110729,四川省,3600~3900,疏林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233545.jpg,,,,,,,,,, +丽江合耳菊,Synotis lucorum,陈又生,8089,20080818,云南省,4000,灌丛,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113526.jpg,,,,,,,,,, +木里合耳菊,Synotis muliensis,"覃海宁,张树仁,高天刚等",274,20010831,四川省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776381.jpg,,,,,,,,,, +锯叶合耳菊,Synotis nagensium,陈又生,10-3389,20101107,广西壮族自治区,1200~400,草坡常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233472.jpg,,,,,,,,,, +锯叶合耳菊,Synotis nagensium,安顺队,1801,19590908,贵州省,1800,山谷草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882712.jpg,,,,,,,,,, +锯叶合耳菊,Synotis nagensium,税玉民,2163,19930331,云南省,1900,山沟密林下溪边土壁上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01830150.jpg,,,,,,,,,, +,Synotis rufinervis,"陈又生,张树仁,于胜祥,卫然",694,20111118,西藏自治区,2641,山谷草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233556.jpg,,,,,,,,,, +腺毛合耳菊,Synotis saluenensis,北京队,893241,19891115,广西壮族自治区,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997519.jpg,,,,,,,,,, +腺毛合耳菊,Synotis saluenensis,FLPH Tibet Expedition,12-1947,,西藏自治区,2000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967345.jpg,,,,,,,,,, +腺毛合耳菊,Synotis saluenensis,王泽欢等,274,20101027,云南省,1900,along forest margin,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885415.jpg,,,,,,,,,, +,Synotis setchuenensis,W.P.Fang,3657,,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0659478.jpg,,,,,,,,,, +,Synotis setchuenensis,"Soulié, J.A.",198,1893-8-2,,,,,,https://image.cvh.ac.cn/files/l/P/P00705011.jpg,,,,,,,,,, +川西合耳菊,Synotis solidaginea,康藏植物考察队,10-1783,20100813,西藏自治区,3680,干山坡,,,https://image.cvh.ac.cn/files/l/PE/02053755.jpg,,,,,,,,,, +川西合耳菊,Synotis solidaginea,陈又生,9694,20090901,云南省,2700~2900,山谷灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053371.jpg,,,,,,,,,, +四花合耳菊,Synotis tetrantha,PE西藏队,PE6022,20170906,西藏自治区,2935,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334018.jpg,,,,,,,,,, +四花合耳菊,Synotis tetrantha,青藏队,4335,1981-8 2,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0151808.jpg,,,,,,,,,, +三舌合耳菊,Synotis triligulata,邱炳云,52984,19561021,云南省,2900,潮湿河沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112552.jpg,,,,,,,,,, +三舌合耳菊,Synotis triligulata,"张永田,郞楷永",3214,19660505,西藏自治区,1800,山坡疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716017.jpg,,,,,,,,,, +合耳菊,Synotis wallichii,FLPH Tibet Expedition,12-1842,20120919,西藏自治区,2000~3000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967251.jpg,,,,,,,,,, +合耳菊,Synotis wallichii,,,20100108,云南省,1473,常绿阔叶林林缘,,,https://image.cvh.ac.cn/files/l/KUN/1279348.jpg,,,,,,,,,, +合耳菊,Synotis wallichii,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003101,20171205,,3008,Roadside,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1447369.jpg,,,,,,,,,, +黄白合耳菊,Synotis xantholeuca,陈又生,9725,20090904,云南省,2500,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052756.jpg,,,,,,,,,, +黄白合耳菊,Synotis xantholeuca,"郭永杰, 吴志坤, 吴兴, 王宇萍, 李志军",14CS9816,20141107,云南,,公路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375838.jpg,,,,,,,,,, +丫口合耳菊,Synotis yakoensis,杨增宏,101873,19641124,云南省,2400,杂木林中沟边阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797352.jpg,,,,,,,,,, +丫口合耳菊,Synotis yakoensis,Y.Tsiang,11689,19330852,云南省 ,0~2500,,Herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0659494.jpg,,,,,,,,,, +蔓生合耳菊,Synotis yui,T.T.Yu,20229,19380913,云南省,2900,Under woods,Herb perennial,有花无果,https://image.cvh.ac.cn/files/l/PE/01716036.jpg,,,,,,,,,, +蔓生合耳菊,Synotis yui,青藏队,74-3017,19740802,西藏自治区,3200,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716038.jpg,,,,,,,,,, +,Syringa komarowii,张寿洲等,1020,20130926,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01990371.jpg,,,,,,,,,, +,Syringa komarowii,"李良千,王忠涛,杜玉芬,卫然",291,20110914,甘肃省,1841,山谷山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914082.jpg,,,,,,,,,, +,Syringa komarowii,张杰,164,19580522,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01572666.jpg,,,,,,,,,, +,Syringa mairei,K.M.Feng,Feng 8841,19401122,云南省,,灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01528800.jpg,,,,,,,,,, +,Syringa mairei,李馨,76671,19571008,四川省,1980,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01528797.jpg,,,,,,,,,, +,Syringa mairei,王启无,65400,19350800,西藏自治区,2800,W.of mt dokerla,,无花有果,https://image.cvh.ac.cn/files/l/PE/01528798.jpg,,,,,,,,,, +花叶丁香,Syringa persica,张杰,16,19580424,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01572682.jpg,,,,,,,,,, +花叶丁香,Syringa persica,钟补求,5200,19520816,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01568712.jpg,,,,,,,,,, +花叶丁香,Syringa persica,,s.n.,19260000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01529760.jpg,,,,,,,,,, +,Syringa pinetorum,"Chin-Sung Chang,Hui Kim,Hyo-In Lim,Sky Park etc.",SI0408,20040913,四川省,3285,riverside mixed forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233668.jpg,,,,,,,,,, +,Syringa pinetorum,张杰,170,19580520,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01572667.jpg,,,,,,,,,, +,Syringa pinetorum,T.T.Yu,13417,19370923,云南省,2800,Among thickets onopen slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/01530939.jpg,,,,,,,,,, +,Syringa potaninii,白龙江考察队,284,19980718,甘肃省,2200,山地 山谷 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01560420.jpg,,,,,,,,,, +川西丁香,Syringa potaninii,四川农学院,5866,1958-7 1,四川省,2600,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0114568.jpg,,,,,,,,,, +华丁香,Syringa protolaciniata,魏志平,2242,1958/8/31,甘肃省,1100,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0404266.jpg,,,,,,,,,, +华丁香,Syringa protolaciniata,魏志平,2055,1958/8/26,甘肃,,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0404067.jpg,,,,,,,,,, +华丁香,Syringa protolaciniata,郭本兆,21,1974/08/,陕西省,400,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0304685.jpg,,,,,,,,,, +巧玲花,Syringa pubescens,段长虹,Dch0076,20140603,山西省,1780,河滩崖畔,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035992.jpg,,,,,,,,,, +巧玲花,Syringa pubescens,"张树仁,陈淑荣,朗校安等",1993,20140616,四川省,1920~2300,山谷 山坡 林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02021329.jpg,,,,,,,,,, +四川丁香,Syringa sweginzowii,D.E.Boufford et al.,30604,20040712,四川省,3150~3240,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01579932.jpg,,,,,,,,,, +四川丁香,Syringa sweginzowii,,344,,北京市,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01573569.jpg,,,,,,,,,, +,Syringa tibetica,西藏中草药调查队,345,19720619,西藏自治区,3200,階地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101793.jpg,,,,,,,,,, +藏南丁香,Syringa tibetica,张林、李星月、张晓严,3-372,20180618,西藏,2775,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023781.jpg,,,,,,,,,, +,Syringa villosa,段长虹,Dch0158,20140704,山西省,1973,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037520.jpg,,,,,,,,,, +,Syringa villosa,"石硕,祝东立,祝振清",SZ3850,20140809,河北省,1530,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02034321.jpg,,,,,,,,,, +,Syringa villosa,,321,,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01573501.jpg,,,,,,,,,, +,Syringa wardii,青藏队,4793,19810813,四川省,3700,山坡 灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01132371.jpg,,,,,,,,,, +,Syringa wardii,青藏队,3063,19810720,云南省,2650,东岸侧柏灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01132368.jpg,,,,,,,,,, +,Syringa wardii,青藏队,10926,19821003,西藏自治区,2300~2400,山坡 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132363.jpg,,,,,,,,,, +香胶蒲桃,Syzygium balsameum,"李渤生,程树志",4121,19830415,西藏自治区,1800,常绿阔叶林下常见灌木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077745.jpg,,,,,,,,,, +香胶蒲桃,Syzygium balsameum,王启无,80465,19361100,云南省,850,thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00940813.jpg,,,,,,,,,, +香胶蒲桃,Syzygium balsameum,C.W.Wang,80837,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0260283.jpg,,,,,,,,,, +华夏蒲桃,Syzygium cathayense,吴岐,104,空,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0003865.jpg,,,,,,,,,, +,Syzygium cathayense,黄连山科研所,HLS0446,20121112,云南,,次生林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1303908.jpg,,,,,,,,,, +华夏蒲桃,Syzygium cathayense,冯国楣,14426,19520122,云南省,510,杂林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0154166.jpg,,,,,,,,,, +乌墨,Syzygium cumini var. cumini,凌云普查队,4.51E+14,20130607,广西壮族自治区,512,阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI063225.jpg,,,,,,,,,, +滇边蒲桃,Syzygium forrestii,M.K.Li,1678,19390601,云南省,1080,among mixed forests,,无花无果,https://image.cvh.ac.cn/files/l/PE/00941865.jpg,,,,,,,,,, +滇边蒲桃,Syzygium forrestii,蒋英,3400,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0261332.jpg,,,,,,,,,, +滇边蒲桃,Syzygium forrestii,A. Henry,12764A,空,云南,4600ft.,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0003881.jpg,,,,,,,,,, +怒江蒲桃,Syzygium salwinense,G.Forrest,24439,19240600,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01584963.jpg,,,,,,,,,, +怒江蒲桃,Syzygium salwinense,高锡朋,56075,19351119,广西壮族自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0262187.jpg,,,,,,,,,, +西藏蒲桃,Syzygium xizangense,"李渤生,程树志",2746,19830705,西藏自治区,830,死造半常绿雨林中时见乔木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077725.jpg,,,,,,,,,, +西藏蒲桃,Syzygium xizangense,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11904,20161114,西藏,1394,山地常绿阔叶林,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445601.jpg,,,,,,,,,, +万寿菊,Tagetes erecta,赵佐成,965,19930926,四川省,800,路边草地阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235036.jpg,,,,,,,,,, +万寿菊,Tagetes erecta,"刘正宇,张军等",RQHZ06544,20140910,重庆市,603,黄壤草丛屋前空地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115317.jpg,,,,,,,,,, +万寿菊,Tagetes erecta,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",994,20021108,云南省,2520,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101588.jpg,,,,,,,,,, +,Tagetes minuta,"李振宇,周明华,伏建国",12704,20121017,江苏省,,厂区草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064591.jpg,,,,,,,,,, +,Tagetes minuta,"李振宇,范晓虹,于胜祥等",12574,20121012,山东省,3~5,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064581.jpg,,,,,,,,,, +,Tagetes minuta,PE西藏队,PE6735,20170916,西藏自治区,3568,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891270.jpg,,,,,,,,,, +阔叶带唇兰,Tainia latifolia,Jin Xiaohua,14109,20140325,云南省,1010,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233136.jpg,,,,,,,,,, +阔叶带唇兰,Tainia latifolia,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T252,20160917,西藏自治区,1594,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233077.jpg,,,,,,,,,, +台湾杉,Taiwania cryptomerioides,D.A.P.,49305c,19961106,台湾省,1900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01578441.jpg,,,,,,,,,, +台湾杉,Taiwania cryptomerioides,松江县林科所?宝荣,1,19791215,贵州省,1100,禾木杉各种阔叶树混交,,无花有果,https://image.cvh.ac.cn/files/l/PE/00982965.jpg,,,,,,,,,, +台湾杉,Taiwania cryptomerioides,"韩裕丰,邓坤梅,陈永瑞",81-653,19810605,云南省,1700,阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00206227.jpg,,,,,,,,,, +,Talauma hodgsonii,Shui Yu-min et al.,13801,20001024,云南省,300~700,in forests the valley nearby the second forests,,无花有果,https://image.cvh.ac.cn/files/l/PE/01852904.jpg,,,,,,,,,, +,Talauma hodgsonii,J.F.Maxwell ,95-490,19950813,,525,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00241723.jpg,,,,,,,,,, +盖裂木,Talauma hodgsonii,姚淦,3558,19900828,西藏自治区,850,,乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00004795.jpg,,,,,,,,,, +,Talinum paniculatum,庐山植物园科考队,Dtg20040294,20041027,江西省,500,房前屋后,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240140.jpg,,,,,,,,,, +,Talinum paniculatum,杭植标,4108,20021116,浙江省,,路边山坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240139.jpg,,,,,,,,,, +,Talinum paniculatum,"廖国藩,郭志芳等",39,19780919,湖南省,130,油茶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240136.jpg,,,,,,,,,, +酸豆,Tamarindus indica,"陈伟烈,陈家瑞,郭柯,闫建平",5435,19840522,四川省,1100,干旱河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097636.jpg,,,,,,,,,, +酸豆,Tamarindus indica,徐闻调查队,876,19541207,广东省,,平地 阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01582222.jpg,,,,,,,,,, +酸豆,Tamarindus indica,H.Ohashi et al.,773129,19770904,,500,Cult.,,无花有果,https://image.cvh.ac.cn/files/l/PE/01523814.jpg,,,,,,,,,, +密花柽柳,Tamarix arceuthoides,,2016,19640921,甘肃省,1330,沙质凹地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224053.jpg,,,,,,,,,, +密花柽柳,Tamarix arceuthoides,关克俭,476,19570523,新疆维吾尔自治区,,水边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01599162.jpg,,,,,,,,,, +甘蒙柽柳,Tamarix austromongolica,于兆英,1610,19810810,宁夏回族自治区,1250,盐碱地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01599161.jpg,,,,,,,,,, +甘蒙柽柳,Tamarix austromongolica,,7304,19580618,新疆维吾尔自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01305734.jpg,,,,,,,,,, +甘蒙柽柳,Tamarix austromongolica,黄河调查队,2970,19560000,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01305732.jpg,,,,,,,,,, +柽柳,Tamarix chinensis,黄河队,4970,19560617,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224051.jpg,,,,,,,,,, +柽柳,Tamarix chinensis,周口店考察队,244,20080927,北京市,148,河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112093.jpg,,,,,,,,,, +柽柳,Tamarix chinensis,黄河队,6626,19560610,陕西省,,山脚,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081951.jpg,,,,,,,,,, +长穗柽柳,Tamarix elongata,新准,295,19590603,新疆维吾尔自治区,,固定沙丘沟沙地边缘地带,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224071.jpg,,,,,,,,,, +长穗柽柳,Tamarix elongata,,1358,19640803,甘肃省,1500,圩土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224054.jpg,,,,,,,,,, +甘肃柽柳,Tamarix gansuensis,何叶祺,3178,19590623,甘肃省,1450,地边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01629581.jpg,,,,,,,,,, +甘肃柽柳,Tamarix gansuensis,"张洪军, 许惠军",ZHANG2016HC095,20160624,甘肃,1801,温带灌木、半灌木荒漠植被,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1458194.jpg,,,,,,,,,, +甘肃柽柳,Tamarix gansuensis,青甘队,3100,1960/8/12,青海省,2900,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0168120.jpg,,,,,,,,,, +翠枝柽柳,Tamarix gracilis,,1862a,19640918,甘肃省,1200,沙窝湖滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224056.jpg,,,,,,,,,, +翠枝柽柳,Tamarix gracilis,I.I.Rusanovich,s.n.,19830501,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068788.jpg,,,,,,,,,, +翠枝柽柳,Tamarix gracilis,中国科学院青甘调查队,3100,19600812,青海省,2900,戈壁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01177435.jpg,,,,,,,,,, +刚毛柽柳,Tamarix hispida,新东,170,19590612,新疆维吾尔自治区,,湖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224086.jpg,,,,,,,,,, +刚毛柽柳,Tamarix hispida,,1338,19640802,甘肃省,1500,圩里草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224039.jpg,,,,,,,,,, +多花柽柳,Tamarix hohenackeri,,2022,19600707,青海省,2990,盐碱滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01599196.jpg,,,,,,,,,, +多花柽柳,Tamarix hohenackeri,于兆英等,2065,19810827,宁夏回族自治区,1100,盐碱地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01599212.jpg,,,,,,,,,, +多花柽柳,Tamarix hohenackeri,,37,19590505,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01305849.jpg,,,,,,,,,, +盐地柽柳,Tamarix karelinii,张治明,286,19890912,新疆维吾尔自治区,76~952,标本园沙土地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01599182.jpg,,,,,,,,,, +盐地柽柳,Tamarix karelinii,K.Andrjusczenko.,3047,19120915,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01177598.jpg,,,,,,,,,, +短穗柽柳,Tamarix laxa,新准,51,19590426,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224125.jpg,,,,,,,,,, +短穗柽柳,Tamarix laxa,杨竞生,91-935,19910928,四川省,4300,岩边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224066.jpg,,,,,,,,,, +细穗柽柳,Tamarix leptostachys,,10,19580620,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224062.jpg,,,,,,,,,, +细穗柽柳,Tamarix leptostachys,,1467,19640810,甘肃省,1800,固定沙丘上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224059.jpg,,,,,,,,,, +多枝柽柳,Tamarix ramosissima,新准,310,19590615,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224081.jpg,,,,,,,,,, +多枝柽柳,Tamarix ramosissima,"刘英心,杨喜林",81093,19810609,甘肃省,,铁路附近栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02224076.jpg,,,,,,,,,, +藏匹菊,Tanacetum atkinsonii,青藏队,74-2489,19740914,西藏,4100,山坡灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028476.jpg,,,,,,,,,, +,Tanacetum tatsienense,"d.e.boufford & L.Y.Chen,J.L.Dong,X.H.Li & J.P.Yue",42405,20100729,四川省,4550~4670,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101641.jpg,,,,,,,,,, +,Tanacetum tatsienense,D.E.Boufford et al.,31681,20040803,西藏自治区,4090,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912850.jpg,,,,,,,,,, +,Tanacetum tatsienense var. tanacetopsis,"Forrest, George",12897,14-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00413619.jpg,,,,,,,,,, +无舌小黄菊,Tanacetum tatsienense var. tanacetopsis,青藏补点,751067,19750802,西藏,4540-4700,深根矮草,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027729.jpg,,,,,,,,,, +沟子荠,Taphrospermum altaicum,"清水建美,近田文弘等",367,19910729,新疆维吾尔自治区,2800,冰川沟谷 山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467663.jpg,,,,,,,,,, +沟子荠,Taphrospermum altaicum,,5193,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352525.jpg,,,,,,,,,, +小籽泉沟子荠,Taphrospermum fontanum subsp. microspermum,西藏中草药普查队,4455,19720821,西藏自治区,4800~5000,倒石堆,,有花有果,https://image.cvh.ac.cn/files/l/PE/01122619.jpg,,,,,,,,,, +小籽泉沟子荠,Taphrospermum fontanum subsp. microspermum,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20828,20200629,西藏,3823,河滩地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505936.jpg,,,,,,,,,, +轮叶沟子荠,Taphrospermum verticillatum,俞德浚,9110,19370725,云南省,4100,石上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0532250.jpg,,,,,,,,,, +轮叶沟子荠,Taphrospermum verticillatum,姜恕,5244,19610617,四川省,4550,山顶梁脊,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0532253.jpg,,,,,,,,,, +蒲公英,Taraxacum albiflos,彭玉兰、张君议、郑臣臣,THP-KD-3461,20170716,四川,3768-4150,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0240659.jpg,,,,,,,,,, +白花蒲公英,Taraxacum albiflos,高庆波、邢睿、贾留坤,Gao2018074,20180707,青海,2716,沼泽湿地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026135.jpg,,,,,,,,,, +白花蒲公英,Taraxacum albiflos,马秉权、柴福弟,811165,19810706,黑龙江,,路边,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0005036.jpg,,,,,,,,,, +,Taraxacum bicolor,青藏队,76-7936,19760706,西藏自治区,4300,香孜河河滩草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589385.jpg,,,,,,,,,, +,Taraxacum bicolor,山诺会,199808,19980812,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005190.jpg,,,,,,,,,, +短喙蒲公英,Taraxacum brevirostre,,6,19580000,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772150.jpg,,,,,,,,,, +短喙蒲公英,Taraxacum brevirostre,李发重,85,19720800,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589388.jpg,,,,,,,,,, +短喙蒲公英,Taraxacum brevirostre,C.W.Wang,72062,19360200,云南省,3200,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589386.jpg,,,,,,,,,, +粉绿蒲公英,Taraxacum dealbatum,王金亭,3612,19610724,西藏自治区,4560,干燥的山坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02047850.jpg,,,,,,,,,, +粉绿蒲公英,Taraxacum dealbatum,V.Sukaczev et al,7349,19280714,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01673486.jpg,,,,,,,,,, +多裂蒲公英,Taraxacum dissectum,李联地,198,19930711,甘肃省,3300,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912788.jpg,,,,,,,,,, +多裂蒲公英,Taraxacum dissectum,,5024,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01719789.jpg,,,,,,,,,, +多裂蒲公英,Taraxacum dissectum,C.S.Liu,1131,19340817,四川省,2900~3280,along road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689033.jpg,,,,,,,,,, +毛柄蒲公英,Taraxacum eriopodum,"陈又生,王泽欢",9318,20090807,西藏自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052499.jpg,,,,,,,,,, +毛柄蒲公英,Taraxacum eriopodum,,1634,0,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/739705.jpg,,,,,,,,,, +毛柄蒲公英,Taraxacum eriopodum,王作宾,14409,19510719,甘肃省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/822698.jpg,,,,,,,,,, +光果蒲公英,Taraxacum glabrum,托孜,780711,1978.7.2,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00043902.jpg,,,,,,,,,, +光果蒲公英,Taraxacum glabrum,托孜,780711,1978723,,3600~3500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20024311.jpg,,,,,,,,,, +,Taraxacum glabrum,王乾、顾健,SCW1227,20190811,四川,4500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0266893.jpg,,,,,,,,,, +小叶蒲公英,Taraxacum goloskokovii,,s.n.,,新疆维吾尔自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01295301.jpg,,,,,,,,,, +小叶蒲公英,Taraxacum goloskokovii,吴玉虎等,3931,19880807,新疆维吾尔自治区 ,0~3950,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/149470.jpg,,,,,,,,,, +反苞蒲公英,Taraxacum grypodon,"李渤生,程树志",5435,19830712,西藏自治区,2950,灌丛下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067823.jpg,,,,,,,,,, +反苞蒲公英,Taraxacum grypodon,"傅德志,陈淑荣,邵毅贞等",1509,20140421,四川省,1300~1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021087.jpg,,,,,,,,,, +多毛蒲公英,Taraxacum lanigerum,T.T.Yu,12217,19370717,云南省,3500,Road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589395.jpg,,,,,,,,,, +多毛蒲公英,Taraxacum lanigerum,吴玉虎,391,19780719,青海省,0~4300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/110623.jpg,,,,,,,,,, +多毛蒲公英,Taraxacum lanigerum,西藏中草药普查队,686,19720628,西藏自治区,0~4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/29770.jpg,,,,,,,,,, +川甘蒲公英,Taraxacum lugubre,"张力,万涛,王晖等",260,20130419,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994078.jpg,,,,,,,,,, +川甘蒲公英,Taraxacum lugubre,,75,19550917,,3250,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772123.jpg,,,,,,,,,, +川甘蒲公英,Taraxacum lugubre,白水江采集队,4484,20070509,甘肃省,1250,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01717843.jpg,,,,,,,,,, +红角蒲公英,Taraxacum luridum,"李渤生,杜泽泉,张百平",11469,19870909,新疆维吾尔自治区,3900,沼泽 草甸常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01295323.jpg,,,,,,,,,, +红角蒲公英,Taraxacum luridum,青藏队吴玉虎,3853,19880723,新疆维吾尔自治区 ,0~3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/148706.jpg,,,,,,,,,, +灰果蒲公英,Taraxacum maurocarpum,谭仲明,93-133,19930717,四川省,,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01691842.jpg,,,,,,,,,, +,Taraxacum maurocarpum,齐威,LJQ-2008-GN-103,20081006,甘肃省,3152,亚高寒草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1374865.jpg,,,,,,,,,, +灰果蒲公英,Taraxacum maurocarpum,吴玉虎,32674,20050705,青海省,4070,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0214063.jpg,,,,,,,,,, +毛叶蒲公英,Taraxacum minutilobum,陈又生,13-2294,20130906,新疆维吾尔自治区,3160,荒坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911338.jpg,,,,,,,,,, +毛叶蒲公英,Taraxacum minutilobum,,249,59.06.10,新疆维吾尔自治区 ,3000,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00043946.jpg,,,,,,,,,, +毛叶蒲公英,Taraxacum minutilobum,西植新疆队,1012,780705,,3600,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20024355.jpg,,,,,,,,,, +蒲公英,Taraxacum mongolicum,"张彩飞,穆光丽",3089,20111021,北京市,,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247581.jpg,,,,,,,,,, +蒲公英,Taraxacum mongolicum,张彩飞,3230,20120416,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247532.jpg,,,,,,,,,, +蒲公英,Taraxacum mongolicum,陈全胜,CF-0012-338,20170828,内蒙古自治区,904,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246655.jpg,,,,,,,,,, +药用蒲公英,Taraxacum officinale,"Li Zhenyu,Jin Xiaohua,Tu Yanli etc.",T02,20160911,西藏自治区,2900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233450.jpg,,,,,,,,,, +药用蒲公英,Taraxacum officinale,B.U.Oh et al.,CBU-130723,20120512,,394,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114725.jpg,,,,,,,,,, +药用蒲公英,Taraxacum officinale,钟明哲,2408,20080229,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913093.jpg,,,,,,,,,, +小花蒲公英,Taraxacum parvulum,张永田,郎楷永,4090,19660617,西藏自治区,4500,山沟河畔,,有花无果,https://image.cvh.ac.cn/files/l/KUN/825342.jpg,,,,,,,,,, +小花蒲公英,Taraxacum parvulum,"郭永杰, 赵文李, 唐培洵, 金仙玲, 张香群",13CS7332,20130418,云南,,澜沧江河谷灌丛山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1395750.jpg,,,,,,,,,, +小花蒲公英,Taraxacum parvulum,钟树权,A60288,19560412,广西壮族自治区,,栽培,藤本,,https://image.cvh.ac.cn/files/l/IBK/IBK00318337.jpg,,,,,,,,,, +,Taraxacum patiens,M. Stefanek et al.,41,20020608,西藏自治区,3850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896075.jpg,,,,,,,,,, +尖角蒲公英,Taraxacum pingue,吴玉虎等,3944,19880807,新疆维吾尔自治区 ,0~3950,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/149443.jpg,,,,,,,,,, +尖角蒲公英,Taraxacum pingue,,3659,620729,,2000,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20024389.jpg,,,,,,,,,, +白缘蒲公英,Taraxacum platypecidum,"石硕,李攀",SZ3436,20140511,河北省,1729,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02034951.jpg,,,,,,,,,, +白缘蒲公英,Taraxacum platypecidum,黄河队,5240,19560709,宁夏回族自治区,,山顶草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01691853.jpg,,,,,,,,,, +白缘蒲公英,Taraxacum platypecidum,C.S.Liu,1215,19340820,四川省,3740~4210,along roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/01691854.jpg,,,,,,,,,, +葱岑蒲公英,Taraxacum pseudominutilobum,"郑度,郭柯",12060,19880626,新疆维吾尔自治区,3630,山坡北坡小地草质,,有花无果,https://image.cvh.ac.cn/files/l/PE/01564280.jpg,,,,,,,,,, +策勒蒲公英,Taraxacum qirae,青藏队吴玉虎,1201,19870826,新疆维吾尔自治区,0~5160,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/146299.jpg,,,,,,,,,, +,Taraxacum scariosum,王乾、顾健,SCW1497,20200623,四川,3842,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274974.jpg,,,,,,,,,, +拉萨蒲公英,Taraxacum sherriffii,吴玉虎,677,19790725,青海省,0~4300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/110622.jpg,,,,,,,,,, +拉萨蒲公英,Taraxacum sherriffii,生物研究所西藏考察队,3973,19740818,西藏自治区,0~3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/41223.jpg,,,,,,,,,, +锡金蒲公英,Taraxacum sikkimense,PE西藏队,PE6772,20170917,西藏自治区,3568,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333987.jpg,,,,,,,,,, +,Taraxacum sinicum,"H.Li,S.X.Yang,R.Li etc.",707,20021106,云南省,2530,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112611.jpg,,,,,,,,,, +,Taraxacum sinicum,侯学煜,11403,,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689150.jpg,,,,,,,,,, +,Taraxacum sinicum,黄河队,7105,19560626,陕西省,1400,草地潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689144.jpg,,,,,,,,,, +角苞蒲公英,Taraxacum stenoceras,陈又生,9517,20090822,四川省,3000,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053314.jpg,,,,,,,,,, +角苞蒲公英,Taraxacum stenoceras,"覃海宁,张树仁,董仕勇等",659,20010819,西藏自治区,4200,山坡湿润地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772155.jpg,,,,,,,,,, +寒生蒲公英,Taraxacum subglaciale,青藏队吴玉虎,870876,19870806,新疆维吾尔自治区,0~2800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/144413.jpg,,,,,,,,,, +寒生蒲公英,Taraxacum subglaciale,西植新疆队,1007,78.07.05,新疆维吾尔自治区 ,3600,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00043988.jpg,,,,,,,,,, +寒生蒲公英,Taraxacum subglaciale,西植新疆队,1007,780705,,3600,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20024396.jpg,,,,,,,,,, +藏蒲公英,Taraxacum tibetanum,PE西藏考察队,7382,20180616,西藏自治区,3934,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333957.jpg,,,,,,,,,, +藏蒲公英,Taraxacum tibetanum,"J.I.Jeon,H.S.Lee,H.J.Eom,Y.J.Park et B.Liu",SI1324,20100810,四川省,3661,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101669.jpg,,,,,,,,,, +,Taraxacum vendibile,J. Kirschner et al.,20,19880628,,1950,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01896136.jpg,,,,,,,,,, +,Taraxacum vendibile,R. Businsky et al.,7432,19990605,西藏自治区,3650,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01896137.jpg,,,,,,,,,, +,Taraxacum vendibile,A. J. Richards,4067,19950600,云南省,4230,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01896135.jpg,,,,,,,,,, +,Taraxacum wallichii,王启无,63743,19350600,云南省,3000,Meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589433.jpg,,,,,,,,,, +,Taraxacum wallichii,王启无,65567,19350800,西藏自治区,3400,Meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589434.jpg,,,,,,,,,, +岭罗麦,Tarennoidea wallichii,中苏云南联合考察团,9566,19560000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00839259.jpg,,,,,,,,,, +岭罗麦,Tarennoidea wallichii,海南工作队 ,309,19550000,海南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00839254.jpg,,,,,,,,,, +舟果荠,Tauscheria lasiocarpa,Sino-Russian Altai Expedition,SRAE2004007,20040000,新疆维吾尔自治区,900,Stony steppe slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766984.jpg,,,,,,,,,, +舟果荠,Tauscheria lasiocarpa,青藏队植被组,12954,19760705,西藏自治区,4100,山地羊圈旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00051388.jpg,,,,,,,,,, +舟果荠,Tauscheria lasiocarpa,周太炎,650059,1965-04-,新疆省,700M,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0138013.jpg,,,,,,,,,, +松柏钝果寄生(原变种),Taxillus caloreas var. caloreas,海仙、刘景欣、李红、肖茂荣,HB2007-227,20071001,云南省,2940,华山松林群落,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 004438.jpg,,,,,,,,,, +毛叶钝果寄生,Taxillus nigrans,北京队,890697,19890501,广西壮族自治区,900,寄生在696上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01985673.jpg,,,,,,,,,, +毛叶钝果寄生,Taxillus nigrans,肖简文,5623,20030430,贵州省,620,河谷密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602694.jpg,,,,,,,,,, +毛叶钝果寄生,Taxillus nigrans,刘金魁,624,20040807,湖南省,330,"山沟,红壤",,无花有果,https://image.cvh.ac.cn/files/l/PE/01602669.jpg,,,,,,,,,, +灰毛桑寄生,Taxillus sutchuenensis var. duclouxii,中苏调查团,1875,19550622,云南省,,密林中 峻坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00891941.jpg,,,,,,,,,, +灰毛桑寄生,Taxillus sutchuenensis var. duclouxii,杨光辉,54599,19570516,四川省,600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00891940.jpg,,,,,,,,,, +灰毛桑寄生,Taxillus sutchuenensis var. duclouxii,刘林翰,1516,19580427,湖南省,650,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0381415.jpg,,,,,,,,,, +四川寄生,Taxillus sutchuenensis var. sutchuenensis,h.k.kung,3098,19330717,山西省,0~1300,,,无花无果,https://image.cvh.ac.cn/files/l/N/067040019.jpg,,,,,,,,,, +桑寄生,Taxillus sutchuenensis var. sutchuenensis,李克纲,xnshs768,20150823,湖南省,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU05604.jpg,,,,,,,,,, +桑寄生,Taxillus sutchuenensis var. sutchuenensis,张华海,2040,19870913,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0008225.jpg,,,,,,,,,, +滇藏钝果寄生,Taxillus thibetensis,北京所横断山队,3365,19810821,云南省,2900~3400,高山栎林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486259.jpg,,,,,,,,,, +滇藏钝果寄生,Taxillus thibetensis,青藏队,11784,19830705,四川省,2300,山坡 松栎林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062820.jpg,,,,,,,,,, +伞花钝果寄生,Taxillus umbellifer,生态室高原组,14110,19800808,西藏自治区,1500,寄生在油葫芦上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01491334.jpg,,,,,,,,,, +伞花钝果寄生,Taxillus umbellifer,,2377,19381227,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00891965.jpg,,,,,,,,,, +,Taxus wallichiana var. chinensis,C.J.Chen & Y.X.Chu,200529,20051225,云南省,450,rock mountain mixed forests,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066916.jpg,,,,,,,,,, +,Taxus wallichiana var. chinensis,D.E.Boufford et al.,39919,20070817,四川省,2365~2870,山沟林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01865981.jpg,,,,,,,,,, +,Taxus wallichiana var. chinensis,植物所三峡考察队,368,20070916,重庆市,1500~2040,干涸的沟谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815272.jpg,,,,,,,,,, +南方红豆杉,Taxus wallichiana var. mairei,罗林波,1167,19941011,湖南省,1200,山谷阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00206958.jpg,,,,,,,,,, +南方红豆杉,Taxus wallichiana var. mairei,莫华,6055,20030729,贵州省,750,山坡密林(中下部),,有花无果,https://image.cvh.ac.cn/files/l/PE/00206830.jpg,,,,,,,,,, +,Taxus wallichiana var. wallichiana,George Forrest,24778,19240800,云南省 ,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0136524.jpg,,,,,,,,,, +,Taxus wallichiana var. wallichiana,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11900,20161114,西藏,1378,山地常绿阔叶林,乔木,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/1445598.jpg,,,,,,,,,, +,Tenacistachya sichuanensis,王乾,M-145,20180627,四川,2587,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0268267.jpg,,,,,,,,,, +,Tephroseris kirilowii,"王忠涛,曲上,徐连升",140118,20140611,河北省,2121,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035882.jpg,,,,,,,,,, +,Tephroseris kirilowii,Choi et al.,307028,20110423,,1070,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912375.jpg,,,,,,,,,, +,Tephroseris kirilowii,老铁山采集队,150,20080503,辽宁省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01895080.jpg,,,,,,,,,, +毛果橙舌狗舌草,Tephroseris rufa var. chaetocarpa,汪劲武等,台42,19800718,山西省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836901.jpg,,,,,,,,,, +毛果橙舌狗舌草,Tephroseris rufa var. chaetocarpa,"汤宗孝,田效文,孙庆国",645,19820806,四川省,3900,高山草甸草场山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01836186.jpg,,,,,,,,,, +毛果橙舌狗舌草,Tephroseris rufa var. chaetocarpa,"郭本兆,王为义",11479,19750719,青海省,3400,石头边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836179.jpg,,,,,,,,,, +匍枝狗舌草,Tephroseris stolonifera,管中天,9260,19590420,四川省,1600~1650,山坡下部沟谷地区,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836914.jpg,,,,,,,,,, +匍枝狗舌草,Tephroseris stolonifera,C.C.Hsieh,40987,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00852696.jpg,,,,,,,,,, +灰毛豆,Tephrosia purpurea var. purpurea,"亚吉东, 刘成",15CS11215,20150922,云南,,金沙河干热河谷,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1370973.jpg,,,,,,,,,, +,Tephrosia purpurea var. yunnanensis,川经凉(59)字,3265,19590528,云南省,750,河边上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00327511.jpg,,,,,,,,,, +云南灰毛豆,Tephrosia purpurea var. yunnanensis,植被组,30174,Oct-82,四川省,1270,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0061420.jpg,,,,,,,,,, +,Terminalia franchetii var. franchetii,林叶所,17,,云南省,1870,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0405992.jpg,,,,,,,,,, +,Terminalia franchetii var. franchetii,川经西,2933,19590000,四川省,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0406028.jpg,,,,,,,,,, +硬毛千果榄仁,Terminalia myriocarpa var. hirsuta,南水北调,8180,19600416,云南省,1280,山沟水边荫处,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0406142.jpg,,,,,,,,,, +,Terminalia myriocarpa var. myriocarpa,中越考察队,734,19641223,云南省,260~330,石灰岩林内,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0406144.jpg,,,,,,,,,, +,Terminalia myriocarpa var. myriocarpa,中越考察队,498,19641217,,900,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0406146.jpg,,,,,,,,,, +,Terminalia myriocarpa var. myriocarpa,"刘成, 亚吉东, 何华杰, 李昌洪",16CS14018,20161121,西藏,756,季风常绿阔叶林林缘路边,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1450263.jpg,,,,,,,,,, +角柄厚皮香,Ternstroemia biangulipes,"倪志诚,李渤生,程树志",3735,19830523,西藏自治区,1800,常绿阔叶林中常见乔木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074930.jpg,,,,,,,,,, +角柄厚皮香,Ternstroemia biangulipes,中苏队,1895,19560424,云南省,600,山顶,山坡,阳处,梁脊,路旁,,有花无果,https://image.cvh.ac.cn/files/l/KUN/452850.jpg,,,,,,,,,, +厚皮香,Ternstroemia gymnanthera,林干班,1261,19560000,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02222124.jpg,,,,,,,,,, +厚皮香,Ternstroemia gymnanthera,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B",476,20020824,云南省,2550,草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100853.jpg,,,,,,,,,, +厚皮香,Ternstroemia gymnanthera,H.J.Choi et al.,130621-hjchoi00,20160621,,29,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090067.jpg,,,,,,,,,, +水青树,Tetracentron sinense,"何明友,谭仲明",121107,19830708,四川省,1400,山地林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098588.jpg,,,,,,,,,, +水青树,Tetracentron sinense,"龙茹,郑宝汇",90155,20090504,湖北省,1500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01989357.jpg,,,,,,,,,, +水青树,Tetracentron sinense,"Jin Xh,Wang LS Wang Q et al.",ST0426,20130717,云南省,3500~3600,apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977449.jpg,,,,,,,,,, +,Tetradium daniellii,"D.E.Boufford,K.Fujikawa,S.L.Kelley etc.",38808,20070802,四川省,2230~2500,Remnant forest on steep slopes and immediately along river,,有花有果,https://image.cvh.ac.cn/files/l/PE/01983311.jpg,,,,,,,,,, +,Tetradium daniellii,林坚,SCSB-A-0037,20070915,河北省,,山坡,路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1371803.jpg,,,,,,,,,, +,Tetradium daniellii,"田先华,吴礼慧",TianXH233,20111005,陕西省,2086,落叶阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1332044.jpg,,,,,,,,,, +,Tetradium fraxinifolium,"赵金超,杨红强,肖美芳",CYNGH315,20131021,云南省,2159,中山常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1332057.jpg,,,,,,,,,, +棱子吴萸,Tetradium fraxinifolium,"刘成, 亚吉东, 何华杰, 李昌洪",16CS14027,20161122,西藏,937,林缘路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1450254.jpg,,,,,,,,,, +,Tetradium fraxinifolium,胡君,熊豫宁,陈庆恒,王东超,HJ05414,20151013,西藏自治区,2800,公路旁,山坡下,落叶乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00594450.jpg,,,,,,,,,, +,Tetradium glabrifolium,C.H.Chen et al.,4319,20020815,台湾省,2000~2100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924378.jpg,,,,,,,,,, +楝叶吴萸,Tetradium glabrifolium,蒋英,1017,19280820,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0407465.jpg,,,,,,,,,, +楝叶吴萸,Tetradium glabrifolium,钟济新,54,19530826,海南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0407550.jpg,,,,,,,,,, +,Tetradium ruticarpum,黄建益等,1448,20030714,台湾省,1680,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01923637.jpg,,,,,,,,,, +,Tetradium ruticarpum,刘恩德,方伟等,3642,20120325,云南省,2238,secondary forest,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1224719.jpg,,,,,,,,,, +密果吴萸,Tetradium ruticarpum,"朱鑫鑫, 石琳琳, 段帅帅, 胡梦杰, 吕擎",ZXX18655,20181012,湖北,639,亚热带,路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1449635.jpg,,,,,,,,,, +七小叶崖爬藤,Tetrastigma delavayi,北京队,890751,19890502,广西壮族自治区,300,沟旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01999661.jpg,,,,,,,,,, +七小叶崖爬藤,Tetrastigma delavayi,王功范,1-0452,20030624,贵州省,880,山谷密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01611853.jpg,,,,,,,,,, +七小叶崖爬藤,Tetrastigma delavayi,T.T.Yu,16463,19380624,云南省,1800,upon thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/00688650.jpg,,,,,,,,,, +叉须崖爬藤,Tetrastigma hypoglaucum,"Li Heng,Yang Shixiong,Lei Ligong etc.",1251,20030412,云南省,2560,次生常绿阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111719.jpg,,,,,,,,,, +叉须崖爬藤,Tetrastigma hypoglaucum,北京队,896016,19890605,广西壮族自治区,800,山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999724.jpg,,,,,,,,,, +叉须崖爬藤,Tetrastigma hypoglaucum,生态室高原组,11382,19800727,西藏自治区,1800,林内缠绕,,无花有果,https://image.cvh.ac.cn/files/l/PE/01810579.jpg,,,,,,,,,, +崖爬藤,Tetrastigma obtectum var. obtectum,黄敏等,307063,20030729,贵州省,,岩石上,藤本,有花无果,https://image.cvh.ac.cn/files/l/GZTM/0024043.jpg,,,,,,,,,, +崖爬藤,Tetrastigma obtectum var. obtectum,田林普查队,4.51E+14,20130908,广西壮族自治区,1448,阔叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI063692.jpg,,,,,,,,,, +崖爬藤(原变种),Tetrastigma obtectum var. obtectum,马关县普查队,5326250158,20150511,云南省,1418.4,针阔叶混交林,藤本植物,有花有果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0033727.jpg,,,,,,,,,, +扁担藤,Tetrastigma planicaule,广西调查队,414,19550620,广西壮族自治区,,山地 山坡 灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999709.jpg,,,,,,,,,, +扁担藤,Tetrastigma planicaule,生态室高原组,10946,19800707,西藏自治区,750,河谷半常绿林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810593.jpg,,,,,,,,,, +扁担藤,Tetrastigma planicaule,中越考察队,1192,19650108,,1000~560,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01679420.jpg,,,,,,,,,, +喜马拉雅崖爬藤,Tetrastigma rumicispermum var. rumicispermum,弥渡普查队,5329250079,20120716,云南省,2352,,藤本,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0012684.jpg,,,,,,,,,, +喜马拉雅崖爬藤(原变种),Tetrastigma rumicispermum var. rumicispermum,白洪兵、李红,533324180830606LY,20180803,云南,2212,,藤本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010007.jpg,,,,,,,,,, +,Tetrastigma rupestre,王功范,1-0507,20030708,贵州省,700,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01611854.jpg,,,,,,,,,, +石生崖爬藤,Tetrastigma rupestre,姚淦等,3600,19900831,西藏自治区,1900,阔叶林,藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00001999.jpg,,,,,,,,,, +石生崖爬藤,Tetrastigma rupestre,翟仕成,3-50338,19770603,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI023153.jpg,,,,,,,,,, +狭叶崖爬藤,Tetrastigma serrulatum var. serrulatum,玉龙县普查队,5307210285,20120807,云南省,2519,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0012686.jpg,,,,,,,,,, +贡山崖爬藤,Tetrastigma yunnanense var. mollissimum,李红、白洪兵,533324180910817LY,20180910,云南,1406,,藤本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010011.jpg,,,,,,,,,, +,Tetrastigma yunnanense var. mollissimum,C. W. Wang,66930,Oct-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00098312.jpg,,,,,,,,,, +,Tetrataenium bivittatum,Bons d'Anty,,1897-12-13,,,,,,https://image.cvh.ac.cn/files/l/P/P02284843.jpg,,,,,,,,,, +尼泊尔四带芹,Tetrataenium nepalense,T.T.Yü,9059,19370727,云南省,4000,road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756845.jpg,,,,,,,,,, +尼泊尔四带芹,Tetrataenium nepalense,H.Hara etc.,6861,19690705,,2200,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0467365.jpg,,,,,,,,,, +尼泊尔四带芹,Tetrataenium nepalense,联大,11463,19380827,云南省 ,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0465967.jpg,,,,,,,,,, +,Tetrataenium wallichii,"张挺, 刘成, 亚吉东",18CS17685,20180916,西藏,3570,西藏冷杉,垂枝柏,杜鹃林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1482777.jpg,,,,,,,,,, +,Tetrataenium yunnanense,"程树志,李渤生",3015,19821118,西藏自治区,1800,林下路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01538805.jpg,,,,,,,,,, +,Tetrataenium yunnanense,,3206,19880000,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00033881.jpg,,,,,,,,,, +,Tetrataenium yunnanense,"Delavay, J.M.",3206,1888-8-31,,,,,,https://image.cvh.ac.cn/files/l/P/P03227158.jpg,,,,,,,,,, +矮生香科科,Teucrium nanum,钟观光,2541,19081007,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00905432.jpg,,,,,,,,,, +矮香科,Teucrium nanum,武素功,2417,19590906,四川省,2280~1900,路边灌丛下阳坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/821753.jpg,,,,,,,,,, +,Teucrium nanum,,0,19181007,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0048662.jpg,,,,,,,,,, +蓝叶,Teucrium omeiense var. cyanophyllum,H.T.Tsai,54087,19340915,云南省,2800,"by,stream",,有花无果,https://image.cvh.ac.cn/files/l/PE/00905232.jpg,,,,,,,,,, +蓝叶峨嵋香科科,Teucrium omeiense var. cyanophyllum,张挺,蔡杰,刘成等,09CS1397,20090721,云南,2800,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390119.jpg,,,,,,,,,, +铁轴草,Teucrium quadrifarium,王强,W13038,20131023,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02328527.jpg,,,,,,,,,, +铁轴草,Teucrium quadrifarium,中植联广西队,1828,20080724,广西壮族自治区,610,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020689.jpg,,,,,,,,,, +铁轴草,Teucrium quadrifarium,刘正宇,181308,20070928,重庆市,1150,山地、路旁草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020688.jpg,,,,,,,,,, +血见愁,Teucrium viscidum,王强,W13054,20131025,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02328523.jpg,,,,,,,,,, +血见愁,Teucrium viscidum,王强,W13025,20131009,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02328521.jpg,,,,,,,,,, +血见愁,Teucrium viscidum,王强,W12003,20120618,海南省,650,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328520.jpg,,,,,,,,,, +柄果高山唐松草,Thalictrum alpinum var. microphyllum,"谢磊,毛建丰",XM128,20010802,云南省,4400,高山砾砾中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01569406.jpg,,,,,,,,,, +柄果高山唐松草,Thalictrum alpinum var. microphyllum,青藏队,12355,19830723,四川省,4200,山坡 灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01108725.jpg,,,,,,,,,, +柄果高山唐松草,Thalictrum alpinum var. microphyllum,傅国勋,142,19600529,西藏自治区,4000,农田水渠边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00447812.jpg,,,,,,,,,, +,Thalictrum aquilegiifolium var. sibiricum,乌兰浩特采集队,9062449,20090624,内蒙古自治区,1020,阴坡下位,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962174.jpg,,,,,,,,,, +唐松草,Thalictrum aquilegiifolium var. sibiricum,卞福花,杨蕾蕾,谷胤征,BianFH-0080,20090523,山东,163,林缘路边,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232871.jpg,,,,,,,,,, +唐松草,Thalictrum aquilegiifolium var. sibiricum,刘玫,张欣欣,程薪宇,史传奇,Liuetal397,20120716,黑龙江,351,林缘,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232873.jpg,,,,,,,,,, +狭序唐松草,Thalictrum atriplex,PE西藏队,PE5263,20170826,西藏自治区,4270,林下灌层,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293971.jpg,,,,,,,,,, +狭序唐松草,Thalictrum atriplex,"川西队,关克俭,王文采等",69,19630714,四川省,2550,河谷山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087943.jpg,,,,,,,,,, +狭序唐松草,Thalictrum atriplex,"杨亲二,袁琼",Yangqe1821,20080712,云南省,3300,林下草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032593.jpg,,,,,,,,,, +长柱贝加尔唐松草,Thalictrum baicalense var. megalostigma,孙学刚等,2280,20010721,甘肃省,2050,沟谷杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801100.jpg,,,,,,,,,, +长柱贝加尔唐松草,Thalictrum baicalense var. megalostigma,Q.Wang et K.Yao,99172,19990600,四川省,2400,山坡林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/00875570.jpg,,,,,,,,,, +绢毛唐松草,Thalictrum brevisericeum,唐昌林,1672,19670729,甘肃省,2300,山谷疏林下,阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962178.jpg,,,,,,,,,, +绢毛唐松草,Thalictrum brevisericeum,傅坤俊,17638,19780727,陕西省,1800,山坡灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962177.jpg,,,,,,,,,, +绢毛唐松草,Thalictrum brevisericeum,李全喜等,2672,19640825,四川省,1450,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040680.jpg,,,,,,,,,, +察隅唐松草,Thalictrum chayuense,"倪志诚,汪永泽,次多等",297,19800629,西藏自治区,2700,杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00470107.jpg,,,,,,,,,, +察隅唐松草,Thalictrum chayuense,S.S.Chien,5113,19220727,湖北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/091050298.jpg,,,,,,,,,, +珠芽唐松草,Thalictrum chelidonii,"H.Li,S.X.Yang,R.Li etc.",874,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090696.jpg,,,,,,,,,, +珠芽唐松草,Thalictrum chelidonii,C.S.Chang et al.,02715-2,20021020,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01696497.jpg,,,,,,,,,, +珠芽唐松草,Thalictrum chelidonii,"李渤生,李辉,阳艺",13223,19900829,西藏自治区,2900~3200,高山栎林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467610.jpg,,,,,,,,,, +高原唐松草,Thalictrum cultratum,PE西藏队,PE5482,20170831,西藏自治区,3583,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293976.jpg,,,,,,,,,, +高原唐松草,Thalictrum cultratum,"税玉民,陈文红,张美德等",64620,20060819,云南省,2050,石灰岩山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980943.jpg,,,,,,,,,, +宽萼偏翅唐松草,Thalictrum delavayi var. decorum,"谢磊,毛建丰",XM45,20010721,云南省,3100,公路边 草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01569353.jpg,,,,,,,,,, +宽萼偏翅唐松草,Thalictrum delavayi var. decorum,四川省植被调查队,2042,19730712,四川省,3300,公路旁灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00470368.jpg,,,,,,,,,, +宽萼偏翅唐松草,Thalictrum delavayi var. decorum,Y.Tsiang,11414,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00187037.jpg,,,,,,,,,, +偏翅唐松草,Thalictrum delavayi var. delavayi,郭绍荣,,,云南省,,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0001881.jpg,,,,,,,,,, +堇花唐松草,Thalictrum diffusiflorum,PE西藏队,PE5643,20170901,西藏自治区,4556,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02293980.jpg,,,,,,,,,, +小叶唐松草,Thalictrum elegans,PE西藏队,PE6521,20170912,西藏自治区,3588,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293982.jpg,,,,,,,,,, +小叶唐松草,Thalictrum elegans,M.Suzuki et al.,9470319,19940805,,3370,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01968648.jpg,,,,,,,,,, +西南唐松草,Thalictrum fargesii,"D.E.Boufford,S.Cristoph,C.Davidson etc.",43706,20140513,四川省,1540,remnant mixed deciduous forest and badly disturbed slopes near river moist dark soil in shade of large boulder,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044312.jpg,,,,,,,,,, +西南唐松草,Thalictrum fargesii,"张力,田先华",T935043,19920511,陕西省,1400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962212.jpg,,,,,,,,,, +西南唐松草,Thalictrum fargesii,白水江采集队,4973,20070516,甘肃省,1700,山各河滩地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01859899.jpg,,,,,,,,,, +滇川唐松草,Thalictrum finetii,PE西藏队,PE5812,20170903,西藏自治区,3401,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293992.jpg,,,,,,,,,, +滇川唐松草,Thalictrum finetii,236任务组,651,19710803,四川省,3100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02086144.jpg,,,,,,,,,, +丝叶唐松草,Thalictrum foeniculaceum,"王德记,王光峰",,20101123,山东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01868963.jpg,,,,,,,,,, +丝叶唐松草,Thalictrum foeniculaceum,山西队,59,19540701,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01566677.jpg,,,,,,,,,, +丝叶唐松草,Thalictrum foeniculaceum,蓟普队,438,19720814,天津市,,山坡 谷地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01219916.jpg,,,,,,,,,, +腺毛唐松草,Thalictrum foetidum,PE西藏考察队,7402,20180616,西藏自治区,3635,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332534.jpg,,,,,,,,,, +腺毛唐松草,Thalictrum foetidum,236任务组,37,19720701,四川省,2600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02086152.jpg,,,,,,,,,, +腺毛唐松草,Thalictrum foetidum,"陈又生,袁慊,徐连升等",140966,20140728,内蒙古自治区,,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036329.jpg,,,,,,,,,, +多叶唐松草,Thalictrum foliolosum,"税玉民,黄素华,陈文红",40400,20031119,云南省,1700,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01962271.jpg,,,,,,,,,, +多叶唐松草,Thalictrum foliolosum,"程树志,李渤生",0146R,19821010,西藏自治区,1940,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01962269.jpg,,,,,,,,,, +纺锤唐松草,Thalictrum fusiforme,"倪志诚,汪永泽,次多等",837,19800726,西藏自治区,2200,河边杂木林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00471108.jpg,,,,,,,,,, +唐松草属,Thalictrum fusiforme,倪志诚 汪永泽 次多 次旦,837,19800726,西藏,2000,河边杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001700.jpg,,,,,,,,,, +大花唐松草,Thalictrum grandiflorum,"陈伟烈,陈家瑞,郭柯等",8775,19840804,甘肃省,1100~900,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046588.jpg,,,,,,,,,, +大花唐松草,Thalictrum grandiflorum,魏志平,2805,1958/10/10,甘肃 ,1000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0108063.jpg,,,,,,,,,, +,Thalictrum javanicum var. javanicum,Linyang Chen etc.,KC-0365,20140627,云南省,2763,"Forests, slopes, damp rocky ledges; 1500-3400m",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1259070.jpg,,,,,,,,,, +爪哇唐松草,Thalictrum javanicum var. javanicum,魏升华,408090,,贵州省,,低山林缘,,无花无果,https://image.cvh.ac.cn/files/l/GZTM/0010163.jpg,,,,,,,,,, +微毛爪哇唐松草,Thalictrum javanicum var. puberulum,"H.Li,S.X.Yang,R.Li etc.",29,20020809,云南省,2550,次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109039.jpg,,,,,,,,,, +微毛爪哇唐松草,Thalictrum javanicum var. puberulum,钟国芳等,1051,19980820,台湾省,3500,"Juniperus forest,on mountain ridge",,无花有果,https://image.cvh.ac.cn/files/l/PE/01815486.jpg,,,,,,,,,, +白茎唐松草,Thalictrum leuconotum,"杨亲二,袁琼",Yangqe1985,20080724,云南省,3300,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036070.jpg,,,,,,,,,, +白茎唐松草,Thalictrum leuconotum,D.E.Boufford et al.,28384,19980708,四川省,3550~4000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01578924.jpg,,,,,,,,,, +小果唐松草,Thalictrum microgynum,甘启良,1371,20060503,湖北省,1100,山谷石岩上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059808.jpg,,,,,,,,,, +小果唐松草,Thalictrum microgynum,J.Cavalerie,3003,19070000,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962231.jpg,,,,,,,,,, +小果唐松草,Thalictrum microgynum,巴山采集队,5613,20110712,四川省,1550,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01872684.jpg,,,,,,,,,, +东亚唐松草,Thalictrum minus var. hypoleucum,甘启良,1485,20060807,湖北省,1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062821.jpg,,,,,,,,,, +东亚唐松草,Thalictrum minus var. hypoleucum,巴山采集队,3020,20100721,四川省,918,小路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059238.jpg,,,,,,,,,, +东亚唐松草,Thalictrum minus var. hypoleucum,巴山采集队,3404,20100723,陕西省,915,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059239.jpg,,,,,,,,,, +稀蕊唐松草,Thalictrum oligandrum,孙学刚等,6545,20060810,甘肃省,2790,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962249.jpg,,,,,,,,,, +稀蕊唐松草,Thalictrum oligandrum,周立华,1971,19700827,青海省,3250,林下腐木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268255.jpg,,,,,,,,,, +稀蕊唐松草,Thalictrum oligandrum,"郎楷永,李良千,费勇",750,19820730,四川省,3200,河谷 灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01108906.jpg,,,,,,,,,, +瓣蕊唐松草,Thalictrum petaloideum,陈全胜,CF14-4313,20180705,内蒙古自治区,1180,河漫滩草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246233.jpg,,,,,,,,,, +瓣蕊唐松草,Thalictrum petaloideum,赵鑫磊,,20130629,北京市,,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109141.jpg,,,,,,,,,, +瓣蕊唐松草,Thalictrum petaloideum,,10,19790700,辽宁省,,山地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094391.jpg,,,,,,,,,, +长柄唐松草,Thalictrum przewalskii,PE西藏队,PE5922,20170905,西藏自治区,3020~3521,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309211.jpg,,,,,,,,,, +长柄唐松草,Thalictrum przewalskii,李才贵,195,19840704,山西省,1800,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081423.jpg,,,,,,,,,, +长柄唐松草,Thalictrum przewalskii,赵佐成,4201,19931021,四川省,2100,阳处林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036063.jpg,,,,,,,,,, +多枝唐松草,Thalictrum ramosum,D.E.Boufford et al.,43651,20140510,四川省,2465,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063112.jpg,,,,,,,,,, +多枝唐松草,Thalictrum ramosum,白水江采集队,2286,20060819,甘肃省,1395,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865057.jpg,,,,,,,,,, +多枝唐松草,Thalictrum ramosum,张志松等,400061,19640406,贵州省,400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040896.jpg,,,,,,,,,, +美丽唐松草,Thalictrum reniforme,PE西藏考察队,7903,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332406.jpg,,,,,,,,,, +毛叶网脉唐松草,Thalictrum reticulatum var. hirtellum,应俊生,4181,19600628,四川省,2140,灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00028267.jpg,,,,,,,,,, +小喙唐松草,Thalictrum rostellatum,PE西藏考察队,7880,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333332.jpg,,,,,,,,,, +小喙唐松草,Thalictrum rostellatum,"杨亲二,袁琼",Yangqe2273,20080818,云南省,2800,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036064.jpg,,,,,,,,,, +,Thalictrum rotundifolium,"李渤生,李辉,阳艺",13321,19900831,西藏自治区,2800,乔松林下石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467609.jpg,,,,,,,,,, +圆叶唐松草,Thalictrum rotundifolium,M.Suzuki etc.,9470239,19940728,,2940,Erect herb on grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261365.jpg,,,,,,,,,, +芸香叶唐松草,Thalictrum rutifolium,PE西藏考察队,7719,20180623,西藏自治区,4175,流石滩、溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333825.jpg,,,,,,,,,, +芸香叶唐松草,Thalictrum rutifolium,孙学刚等,6131,20060809,甘肃省,475,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814046.jpg,,,,,,,,,, +芸香叶唐松草,Thalictrum rutifolium,,11094,19870817,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804982.jpg,,,,,,,,,, +叉枝唐松草,Thalictrum saniculiforme,许炳强,吴兴,李婧,田恩伟,XiaNH-07zx-0100,20091026,云南,2243,林下草丛,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1233144.jpg,,,,,,,,,, +叉柱唐松草,Thalictrum saniculiforme,西藏中草药普查队,1421,19720323,西藏自治区,2300,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/30827.jpg,,,,,,,,,, +唐松草属,Thalictrum saniculiforme,倪志诚 汪永泽 次多 次旦,779,19800725,西藏,2100,针阔混交林腐木上,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001710.jpg,,,,,,,,,, +短梗箭头唐松草,Thalictrum simplex var. brevipes,段长虹,Dch0378,20140717,山西省,2083,林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035105.jpg,,,,,,,,,, +短梗箭头唐松草,Thalictrum simplex var. brevipes,陈又生等,140680,20140721,内蒙古自治区,1200,湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031323.jpg,,,,,,,,,, +短梗箭头唐松草,Thalictrum simplex var. brevipes,老铁山采集队,404,20080712,辽宁省,,海边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962256.jpg,,,,,,,,,, +,Thalictrum simplex var. simplex,"亚吉东, 张桥蓉, 胡枭剑, 阿热爱",17CS16441,20170711,新疆,1578,草场,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1456537.jpg,,,,,,,,,, +鞭柱唐松草,Thalictrum smithii,"郎楷永,李良千,费勇",1512,19820904,四川省,2600~2700,砍伐后的针叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01962268.jpg,,,,,,,,,, +鞭柱唐松草,Thalictrum smithii,生态室高原组,11144,19800716,西藏自治区,1200,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962266.jpg,,,,,,,,,, +石砾唐松草,Thalictrum squamiferum,PE西藏考察队,7679,20180622,西藏自治区,4991,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332148.jpg,,,,,,,,,, +石砾唐松草,Thalictrum squamiferum,Futoshi Miyamoto et al.,20220075,20020810,,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062567.jpg,,,,,,,,,, +石砾唐松草,Thalictrum squamiferum,"关克俭,王文采等",1148,19630730,四川省,4350,山坡流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962257.jpg,,,,,,,,,, +展枝唐松草,Thalictrum squarrosum,陈全胜,CF04-4031,20180625,内蒙古自治区,1708,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247120.jpg,,,,,,,,,, +展枝唐松草,Thalictrum squarrosum,黄河队,5733,19560807,甘肃省,,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078571.jpg,,,,,,,,,, +展枝唐松草,Thalictrum squarrosum,黄河队,8243,19560824,陕西省,1600,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078491.jpg,,,,,,,,,, +细唐松草,Thalictrum tenue,孔冬梅,k0307,20140708,山西省,741,崖脚,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044375.jpg,,,,,,,,,, +细唐松草,Thalictrum tenue,白龙江考察队,1051,19980730,甘肃省,0,山地 山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560772.jpg,,,,,,,,,, +细唐松草,Thalictrum tenue,谢磊,2005002,20050422,北京市,500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458751.jpg,,,,,,,,,, +毛发唐松草,Thalictrum trichopus,王洪,4809,20010726,云南省,1400,石灰山荒地岩石附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/01358014.jpg,,,,,,,,,, +毛发唐松草,Thalictrum trichopus,张经炜,863,19730721,西藏自治区,2000,水边 ,,无花无果,https://image.cvh.ac.cn/files/l/PE/00048711.jpg,,,,,,,,,, +察瓦龙唐松草,Thalictrum tsawarungense,西藏生物所植物资源队,3976,19830904,西藏自治区,2900,高山松林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01040620.jpg,,,,,,,,,, +察瓦龙唐松草,Thalictrum tsawarungense,王启无,66523,19350900,云南省,3000,"border of woods,dry slope",,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00070715.jpg,,,,,,,,,, +察瓦龙唐松草,Thalictrum tsawarungense,青藏补点,750500,19750704,西藏,3060,山谷潮地,草本,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00025019.jpg,,,,,,,,,, +钩柱唐松草,Thalictrum uncatum,"杨亲二,袁琼",Yangqe1818,20080712,云南省,3300,林下草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032589.jpg,,,,,,,,,, +钩柱唐松草,Thalictrum uncatum,FLPH Tibet Expedition,12-0584,20120914,西藏自治区,3709,山谷林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01966742.jpg,,,,,,,,,, +钩柱唐松草,Thalictrum uncatum,孙学刚等,6363,20060805,甘肃省,2117,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962262.jpg,,,,,,,,,, +弯柱唐松草,Thalictrum uncinulatum,236任务组,533,19710730,四川省,2100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02086146.jpg,,,,,,,,,, +弯柱唐松草,Thalictrum uncinulatum,巴山采集队,2445,20080728,重庆市,2457,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850755.jpg,,,,,,,,,, +帚枝唐松草,Thalictrum virgatum,"杨亲二,袁琼",Yangqe2112,20080805,云南省,3500,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036071.jpg,,,,,,,,,, +帚枝唐松草,Thalictrum virgatum,FLPH Tibet Expedition,12-0977,20120904,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01966774.jpg,,,,,,,,,, +粘唐松草,Thalictrum viscosum,中甸队,1238,19620818,云南省,1810,河岸草丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00028288.jpg,,,,,,,,,, +丽江唐松草,Thalictrum wangii,"谢磊,毛建丰",XM138,20020804,云南省,3300,山坡草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01569413.jpg,,,,,,,,,, +丽江唐松草,Thalictrum wangii,青藏队,73-230,19730620,西藏自治区,3100,山沟针阔混淆林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00450031.jpg,,,,,,,,,, +假繁缕,Theligonum macranthum,白水江采集队,5293,20070521,甘肃省,2350,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878065.jpg,,,,,,,,,, +假繁缕,Theligonum macranthum,中国西部科学院,4255,19330000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00979064.jpg,,,,,,,,,, +假繁缕,Theligonum macranthum,金佛山考察队,134,19860509,重庆市,1800,林下阴湿处,,无花无果,https://image.cvh.ac.cn/files/l/PE/00979062.jpg,,,,,,,,,, +瘤菅,Themeda anathera,刘青等,215,20110831,云南省,0~1860,,草本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0766171.jpg,,,,,,,,,, +瘤菅,Themeda anathera,B.J.Conn etc,272,19591031,Tennessee,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/319767.jpg,,,,,,,,,, +苞子草,Themeda caudata,田效文,12,19820612,四川省,1750,山麓 干热谷 灌草场,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645881.jpg,,,,,,,,,, +苞子草,Themeda caudata,陇西山考察队,2829,19910926,福建省,400~600,山坡 草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01561539.jpg,,,,,,,,,, +苞子草,Themeda caudata,深圳考察队,360,19961100,广东省,450,slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01401708.jpg,,,,,,,,,, +西南菅草,Themeda hookeri,S.K.WU et al.,354,19951029,云南省,1300~840,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929675.jpg,,,,,,,,,, +西南菅草,Themeda hookeri,T.P.Wang,9545,19380903,四川省,2800,on dry slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00707881.jpg,,,,,,,,,, +,Themeda minor,青藏队,654,19730710,西藏自治区,2000,山坡云南松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615852.jpg,,,,,,,,,, +,Themeda minor,,175,19640811,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615851.jpg,,,,,,,,,, +小菅草,Themeda minor,曾宪锋,ZXF00275,2003/11/26,广东省,,,,,https://image.cvh.ac.cn/files/l/CZH/CZH0000175.jpg,,,,,,,,,, +阿拉伯黄背草,Themeda triandra,周口店考察队,204,20080927,北京市,126,草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112047.jpg,,,,,,,,,, +阿拉伯黄背草,Themeda triandra,K.R.McDonald,KRM12178,20120210,,,woodland on sandy rocky hills sandy soil area at head of gully,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109992.jpg,,,,,,,,,, +阿拉伯黄背草,Themeda triandra,云台山采集队,136,20080922,河南省,,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022973.jpg,,,,,,,,,, +菅,Themeda villosa,Liu Yanchun,496,20101001,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089478.jpg,,,,,,,,,, +菅,Themeda villosa,"李振宇,闫丽春,农必明,李东方",1388,19981024,广西壮族自治区,850,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01981446.jpg,,,,,,,,,, +菅,Themeda villosa,甘启良,3255,20071024,重庆市,400,河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01849891.jpg,,,,,,,,,, +高山野决明,Thermopsis alpina,胡叔良等,149,19560810,甘肃省,2860,山谷阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092697.jpg,,,,,,,,,, +高山野决明,Thermopsis alpina,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1705,20130821,西藏自治区,,草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01992096.jpg,,,,,,,,,, +紫花野决明,Thermopsis barbata,PE西藏考察队,7345,20180616,西藏自治区,4392,高山草甸、灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333793.jpg,,,,,,,,,, +紫花野决明,Thermopsis barbata,"川西队,关克俭,王文采等",786,19630720,四川省,3600,山坡草地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02092266.jpg,,,,,,,,,, +,Thermopsis gyirongensis,"张挺, 刘成, 亚吉东",18CS17680,20180916,西藏,3576,西藏冷杉,垂枝柏林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484534.jpg,,,,,,,,,, +,Thermopsis inflata,青藏队植被组,12866,19760628,西藏自治区,4800,碎屑坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086697.jpg,,,,,,,,,, +,Thermopsis inflata,北京所横断山队,3269,19810818,云南省,,高山 灌丛中 草甸中偶见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01486099.jpg,,,,,,,,,, +,Thermopsis lanceolata,PE西藏考察队,7703,20180623,西藏自治区,4175,流石滩,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333743.jpg,,,,,,,,,, +,Thermopsis lanceolata,中苏队,28,19600624,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078331.jpg,,,,,,,,,, +,Thermopsis przewalskii,W.J.Roborowski,s.n.,18950218,,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00022449.jpg,,,,,,,,,, +,Thermopsis przewalskii,张文定,142,19600720,陕西省,0,路旁,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0623789.jpg,,,,,,,,,, +,Thermopsis przewalskii,郭本兆,3320,19560802,甘肃省,3260,河滩,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0623787.jpg,,,,,,,,,, +,Thermopsis smithiana,郭柯,k-024,19900617,青海省,4700,山坡沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045213.jpg,,,,,,,,,, +,Thermopsis smithiana,D.E.Boufford et al.,36186,20060809,四川省,4640~4830,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923317.jpg,,,,,,,,,, +,Thermopsis turkestanica,阴知勒,22526,19560606,新疆维吾尔自治区,,"湿润,有沼泽现象",,有花无果,https://image.cvh.ac.cn/files/l/PE/00217703.jpg,,,,,,,,,, +新疆野决明,Thermopsis turkestanica,新疆采集队,1856,1978/8/3,新疆维吾尔族自治区,3100,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0336618.jpg,,,,,,,,,, +,Thermopsis yunnanensis,"李文华,胡勇",H81-49,19810529,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00412736.jpg,,,,,,,,,, +玉树野决明,Thermopsis yunnanensis,,1137,19600728,四川省,3600,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00394506.jpg,,,,,,,,,, +玉树野决明,Thermopsis yushuensis,"刘尚武,黄荣福",609,19660611,青海省,4200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432574.jpg,,,,,,,,,, +夏须草,Theropogon pallidus,杨亲二,91001,19910701,云南省,2400,石灰地村牛头山村,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948279.jpg,,,,,,,,,, +夏须草,Theropogon pallidus,,31006,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01713827.jpg,,,,,,,,,, +,Thesium bomiense,"李渤生,倪志诚,程树志",6576,19830817,西藏自治区,3400,林绿灌丛草地中干旱石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114095.jpg,,,,,,,,,, +藏南百蕊草,Thesium emodi,PE西藏考察队,7368,20180616,西藏自治区,4392,高山草甸、灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332920.jpg,,,,,,,,,, +藏南百蕊草,Thesium emodi,青藏队,5148,19810823,四川省,4400,高原 山坡 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062722.jpg,,,,,,,,,, +藏南百蕊草,Thesium emodi,青藏队,2751,19810714,云南省,4200~4400,高山 灌丛 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062719.jpg,,,,,,,,,, +长花百蕊草,Thesium longiflorum,青藏队横断山队,1386,19810623,云南省,3200~3300,高山松林上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062715.jpg,,,,,,,,,, +长花百蕊草,Thesium longiflorum,C.S.Liu,1373,19340827,四川省,3800,in grassland,,有花无果,https://image.cvh.ac.cn/files/l/PE/00890824.jpg,,,,,,,,,, +长花百蕊草,Thesium longiflorum,西藏中草药普查队,482,19720622,西藏自治区,3500,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00890797.jpg,,,,,,,,,, +,Thesium longifolium,四川植物标本,10092,19750629,四川省,2800,云杉,油松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114076.jpg,,,,,,,,,, +,Thesium longifolium,T.T.Yu,8444,19370604,云南省,2800,in ravine,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114075.jpg,,,,,,,,,, +,Thesium longifolium,C.L.Tso,763,19260609,江苏省,133,on open grass land,,有花无果,https://image.cvh.ac.cn/files/l/PE/00890822.jpg,,,,,,,,,, +急折百蕊草,Thesium refractum,王光正,168,19500923,黑龙江省,,坟堆闸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114093.jpg,,,,,,,,,, +急折百蕊草,Thesium refractum,Anonymous,725,19590622,河北省,1500,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114092.jpg,,,,,,,,,, +急折百蕊草,Thesium refractum,蒙宁队,323,19620611,内蒙古自治区,1000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114091.jpg,,,,,,,,,, +藏东百蕊草,Thesium tongolicum,吴征镒,5844,19760913,西藏自治区,0,流石滩,寄生小草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0565630.jpg,,,,,,,,,, +藏东百蕊草,Thesium tongolicum,郭先林、郑宏一,2038073,20200719,四川,4370,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02038073.jpg,,,,,,,,,, +歧伞菊,Thespis divaricata,Xiaohua Jin,9561,20081109,云南省,1400,perrenials,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113462.jpg,,,,,,,,,, +歧伞菊,Thespis divaricata,C.W.Wang,77007,19360600,云南省 ,1000,Border of rice field,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00500663.jpg,,,,,,,,,, +大苞赤爬,Thladiantha cordifolia,"覃海宁,王印政,闫丽春等",1202,19980424,广西壮族自治区,450,山地、水旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02016898.jpg,,,,,,,,,, +大苞赤爬,Thladiantha cordifolia,C.S.Chang et al.,SI1117,20100704,四川省,1627,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917982.jpg,,,,,,,,,, +大苞赤爬,Thladiantha cordifolia,周仕顺,1052,20030428,云南省,600,迁地保护箐边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671094.jpg,,,,,,,,,, +齿叶赤,Thladiantha dentata,巴山采集队,5534,20110711,四川省,1430,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01872506.jpg,,,,,,,,,, +齿叶赤,Thladiantha dentata,"赵常明,葛结林,刘向",EX3172,20090814,湖北省,1650,路旁草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01868510.jpg,,,,,,,,,, +齿叶赤,Thladiantha dentata,三峡考察队,1646,20080715,重庆市,1830~1887,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868496.jpg,,,,,,,,,, +赤爬,Thladiantha dubia,邵剑文,20150905s,20150928,安徽省,370,roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115131.jpg,,,,,,,,,, +赤爬,Thladiantha dubia,孔冬梅,K0208,20140706,山西省,662,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02030972.jpg,,,,,,,,,, +赤爬,Thladiantha dubia,赤峰采集队,2-179,20080807,内蒙古自治区,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02012607.jpg,,,,,,,,,, +大萼赤爬,Thladiantha grandisepala,李光照,15509,19970725,四川省,900,山谷草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670669.jpg,,,,,,,,,, +大萼赤爬,Thladiantha grandisepala,T.T.Yu,16054,19380529,云南省,2400,upon thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01198418.jpg,,,,,,,,,, +大萼赤瓟,Thladiantha grandisepala,王启无,76851,19360000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0208916.jpg,,,,,,,,,, +异叶赤,Thladiantha hookeri,林秦文,2013-159,20130601,云南省,1750~2300,峡谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040563.jpg,,,,,,,,,, +异叶赤,Thladiantha hookeri,236-6队,1223,19700616,广东省,550,沟边高草丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01671108.jpg,,,,,,,,,, +异叶赤,Thladiantha hookeri,吕清华,2584,19590709,广西壮族自治区,,山地密林沙土普遍散生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01198453.jpg,,,,,,,,,, +丽江赤瓟,Thladiantha lijiangensis,D.E.Boufford et al.,33153,20050719,四川省,3340~3650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579904.jpg,,,,,,,,,, +丽江赤瓟,Thladiantha lijiangensis,李渤生,6790,19830819,西藏自治区,2300~2500,Quvcns及Parns林内时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447190.jpg,,,,,,,,,, +丽江赤瓟,Thladiantha lijiangensis,K.M.Feng,9272,19420902,云南省,,杂木中,藤本,无花有果,https://image.cvh.ac.cn/files/l/PE/01198533.jpg,,,,,,,,,, +长叶赤,Thladiantha longifolia,巴山采集队,1524,20080713,重庆市,1510,灌丛山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851758.jpg,,,,,,,,,, +长叶赤,Thladiantha longifolia,邓云飞,311,19870722,湖南省,950,山坡稀林下路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01774670.jpg,,,,,,,,,, +长叶赤,Thladiantha longifolia,吕清华,2455,19590611,广西壮族自治区,1309,山地山谷密林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01671109.jpg,,,,,,,,,, +长萼赤瓟,Thladiantha longisepala,K.M.Feng,4843,19400618,云南省,2500,沟边杂林中,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/01198584.jpg,,,,,,,,,, +,Thladiantha longisepala,李成清,高国政,徐如标,NJWLS473,20091015,云南,1410,水田边,攀援草本,,https://image.cvh.ac.cn/files/l/KUN/1250254.jpg,,,,,,,,,, +斑赤,Thladiantha maculata,刘淼等,H30176,20050715,河南省,1100,路边小灌丛上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916950.jpg,,,,,,,,,, +斑赤,Thladiantha maculata,鄂神农架植考队,31546,19760813,湖北省,1700,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01198611.jpg,,,,,,,,,, +,Thladiantha medogensis,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T217,20160915,西藏自治区,1524,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233414.jpg,,,,,,,,,, +墨脱赤爬,Thladiantha medogensis,青藏队,74-4142,19740806,西藏,1800,山坡阔叶林缘,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1205829.jpg,,,,,,,,,, +山地赤,Thladiantha montana,林秦文,2013-047,20130528,云南省,1600~1750,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040569.jpg,,,,,,,,,, +山地赤瓟,Thladiantha montana,T.T.Yu,3309,19330000,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0208972.jpg,,,,,,,,,, +南赤,Thladiantha nudiflora,"朱大海,苏小镔,梁红英",748,20020727,四川省,620,山脚林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112631.jpg,,,,,,,,,, +南赤,Thladiantha nudiflora,"武建勇,吴振海,刘艳等",2,20050707,陕西省,1102,路旁 沟边 潮湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110803.jpg,,,,,,,,,, +鄂赤,Thladiantha oliveri,巴山采集队,4876,20110629,四川省,1904,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873213.jpg,,,,,,,,,, +鄂赤,Thladiantha oliveri,"赵常明,葛结林,李支",EX3040,20090810,湖北省,1500,阔叶林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868509.jpg,,,,,,,,,, +刚毛赤瓟,Thladiantha setispina,PE西藏队,PE6207,20170910,西藏自治区,2488~2994,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01890512.jpg,,,,,,,,,, +刚毛赤瓟,Thladiantha setispina,K.L.Chu,7561,19400808,四川省,,on shruby slope,Climbing herb,有花无果,https://image.cvh.ac.cn/files/l/PE/01199077.jpg,,,,,,,,,, +长毛赤,Thladiantha villosula,万涛等,FSB-787,20130709,四川省,,沿路,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994106.jpg,,,,,,,,,, +长毛赤,Thladiantha villosula,巴山采集队,483,20080707,重庆市,1080,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851763.jpg,,,,,,,,,, +长毛赤,Thladiantha villosula,刘淼等,A140040,20060813,安徽省,500,生于灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01798620.jpg,,,,,,,,,, +西藏菥蓂,Thlaspi andersonii,杨竟生,8776,19760825,云南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0532264.jpg,,,,,,,,,, +西藏菥蓂,Thlaspi andersonii,青藏补点组,751370,19750812,西藏自治区,2600,岩石上,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0532266.jpg,,,,,,,,,, +西藏菥蓂,Thlaspi andersonii,吴征镒,李恒等,9100,19900610,甘肃省,2900,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0532476.jpg,,,,,,,,,, +菥蓂,Thlaspi arvense,"川西队,关克俭,王文采等",911,19630724,四川省,3500,高原屋旁路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092402.jpg,,,,,,,,,, +菥蓂,Thlaspi arvense,黄河队,2230,19550827,山西省,,阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081660.jpg,,,,,,,,,, +菥蓂,Thlaspi arvense,"张新时,郭柯",天山-306,19860802,新疆维吾尔自治区,2390,南山坡 T-036边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078066.jpg,,,,,,,,,, +山菥蓂,Thlaspi cochleariforme,青藏队植被组,8357,19760609,云南省,4250,小叶杜鹃灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803851.jpg,,,,,,,,,, +山菥蓂,Thlaspi cochleariforme,蒙宁队,462,19620620,内蒙古自治区,1700,南山山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506433.jpg,,,,,,,,,, +山菥蓂,Thlaspi cochleariforme,,2511a,1902-06-,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0138130.jpg,,,,,,,,,, +四川菥蓂,Thlaspi flagelliferum,黄治平等,1023,19300424,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01123078.jpg,,,,,,,,,, +四川菥蓂,Thlaspi flagelliferum,关克俭,370,19640000,四川,3150,潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0313070.jpg,,,,,,,,,, +云南菥蓂,Thlaspi yunnanense,G.Forrest,12519,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0138140.jpg,,,,,,,,,, +,Thlaspi yunnanense,肖波,LuJL493,20120118,云南,1200,路旁,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1236913.jpg,,,,,,,,,, +小叶白点兰,Thrixspermum japonicum,刘正宇,5219,19840530,重庆市,850,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110149.jpg,,,,,,,,,, +小叶白点兰,Thrixspermum japonicum,Luo Yi-bo,513,20010429,贵州省,900,生长在枯?杨树干上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01681715.jpg,,,,,,,,,, +小叶白点兰,Thrixspermum japonicum,北京队,3721,19880710,湖南省,420~520,溪边 路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01340780.jpg,,,,,,,,,, +红花山牵牛,Thunbergia coccinea,C.W.Wang,80154,19361000,云南省,1000,mt.woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114795.jpg,,,,,,,,,, +海南山牵牛,Thunbergia fragrans,"张寿洲,李良千等",3717,20050726,广东省,50,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809101.jpg,,,,,,,,,, +海南山牵牛,Thunbergia fragrans,K.M.Feng,Feng2711,19390820,云南省,2300,洛南河附近山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01649929.jpg,,,,,,,,,, +海南山牵牛,Thunbergia fragrans,梁畴芬,33394,19730921,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01649920.jpg,,,,,,,,,, +笋兰,Thunia alba,HK kadoorie PT,3456,20020429,云南省,1800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02097616.jpg,,,,,,,,,, +笋兰,Thunia alba,A.Henry,11091,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0657860.jpg,,,,,,,,,, +笋兰,Thunia alba,,,,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0657785.jpg,,,,,,,,,, +囊种草,Thylacospermum caespitosum,"李渤生,倪志诚,程树志",7357,19830903,西藏自治区,4700~4900,高山流石滩中偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02072992.jpg,,,,,,,,,, +囊种草,Thylacospermum caespitosum,郭柯,K-193,19900808,青海省,4900,山间谷地第三系冰积物,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060119.jpg,,,,,,,,,, +囊种草,Thylacospermum caespitosum,M.Sovetkina et al.,s.n.,19170725,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01699648.jpg,,,,,,,,,, +,Thymus diminutus,张会金等,13(2005-3023),20050820,新疆维吾尔自治区,2133,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01927208.jpg,,,,,,,,,, +高山百里香,Thymus diminutus,生物研究所西藏考察队,3260,74.06.20,新疆维吾尔自治区 ,3700,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00033470.jpg,,,,,,,,,, +高山百里香,Thymus diminutus,生物研究所西藏考察队,3260,740620,,3700,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20002587.jpg,,,,,,,,,, +,Thymus linearis,PE西藏考察队,7568,20180621,西藏自治区,3793~4100,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332446.jpg,,,,,,,,,, +,Thymus linearis,"S.Noshiro,M.Amano,T.Kurosawa etc.",20104246,20010818,,3580,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110566.jpg,,,,,,,,,, +百里香,Thymus mongolicus,陈全胜,CF03-4015,20180624,内蒙古自治区,1191,道边榆树林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247143.jpg,,,,,,,,,, +百里香,Thymus mongolicus,李才贵,81,19840625,山西省,2200,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081115.jpg,,,,,,,,,, +乌恰百里香,Thymus seravschanicus,塔里木大学资源调查组,TD-01452,20070725,新疆,3064米,石质山坡,草本,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU00266.jpg,,,,,,,,,, +,Thysanolaena latifolia,"费德罗夫,林契夫斯基,吉尔比奇尼可夫",155,19550329,云南省,1400,道路旁稀疏的松林,,无花无果,https://image.cvh.ac.cn/files/l/PE/02089548.jpg,,,,,,,,,, +,Thysanolaena latifolia,李荫昆,P01111,19570504,广西壮族自治区,,山坡倾斜,阴处,疏林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02089545.jpg,,,,,,,,,, +黄水枝,Tiarella polyphylla,PE西藏考察队,7494,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332611.jpg,,,,,,,,,, +黄水枝,Tiarella polyphylla,何明友 谭仲明,116945,19830410,四川省,1250,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097338.jpg,,,,,,,,,, +黄水枝,Tiarella polyphylla,"H.Li,S.X.Yang,R.Li etc.",223,20020814,云南省,2600,常绿阔叶林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090831.jpg,,,,,,,,,, +,Tibetia forrestii,"朱相云,杨永,潘勃",20050270,20050805,四川省,3170,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01979952.jpg,,,,,,,,,, +,Tibetia forrestii,青藏队,2019,19810701,云南省,3150~3200,高山栎-杜鹃黄背栎林,,有花有果,https://image.cvh.ac.cn/files/l/PE/00498201.jpg,,,,,,,,,, +,Tibetia forrestii,杨竞生,90-233,19900715,西藏自治区,4200,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00217716.jpg,,,,,,,,,, +,Tibetia himalaica,PE西藏队,PE5501,20170831,西藏自治区,4460,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330376.jpg,,,,,,,,,, +,Tibetia himalaica,"Jin Xh,Wang LS Wang Q et al.",ST1092,20130726,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01976934.jpg,,,,,,,,,, +,Tibetia tongolensis,Harry Smith,10665,19340722,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860605.jpg,,,,,,,,,, +,Tibetia tongolensis,,10227,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01499248.jpg,,,,,,,,,, +,Tibetia tongolensis,青藏队,2265,19810709,云南省,3800,冷杉林迹地水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00498166.jpg,,,,,,,,,, +亚东高山豆,Tibetia yadongensis,PE西藏考察队,7728,20180622,西藏自治区,4991,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333805.jpg,,,,,,,,,, +美齿椴,Tilia callidonta,冯国楣,9356,19431111,云南省,2800,沟边,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/01432236.jpg,,,,,,,,,, +华椴(原变种),Tilia chinensis var. chinensis,张挺,刘成,左政裕,姜虹,李昌洪,19CS18337,20190714,四川,2723,云杉杉下,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506432.jpg,,,,,,,,,, +,Tilia chinensis var. intonsa,张天壁,SCSB-W-805,20070915,云南省,2650,落叶阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1305160.jpg,,,,,,,,,, +多毛椴,Tilia chinensis var. intonsa,鞠文彬,陈德奎,AZH00810,20151106,四川省,2218,林中,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0236558.jpg,,,,,,,,,, +多毛椴,Tilia chinensis var. intonsa,高信芬、黎怀诚,THP-KD-0427,20170603,四川,3932,,乔木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241933.jpg,,,,,,,,,, +秃华椴,Tilia chinensis var. investita,T.T.Yu,10027,19370831,云南省,3200,among forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01331780.jpg,,,,,,,,,, +秃华椴,Tilia chinensis var. investita,中国科学院昆明植物研究所,8910,19600605,西藏自治区,3100,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01331776.jpg,,,,,,,,,, +秃华椴,Tilia chinensis var. investita,赵清盛,1321,19890816,四川省,1800,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01331775.jpg,,,,,,,,,, +丽江椴,Tilia likiangensis,王启无,71384,19350700,云南省,2500,woods,tree,有花无果,https://image.cvh.ac.cn/files/l/PE/00023743.jpg,,,,,,,,,, +丽江椴,Tilia likiangensis,C.W.Wang,71337,19350000,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0251467.jpg,,,,,,,,,, +少脉毛椴,Tilia paucicostata var. yunnanensis,陈庆恒,4661,19740623,四川省,2400,生于河边阴湿沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02226465.jpg,,,,,,,,,, +少脉毛椴,Tilia paucicostata var. yunnanensis,王启无,64740,19350700,云南省,3000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01332931.jpg,,,,,,,,,, +少脉毛椴,Tilia paucicostata var. yunnanensis,张泽荣,25477,19580701,重庆市,1320,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01332920.jpg,,,,,,,,,, +五蕊东爪草,Tillaea schimperi,"王中仁,路安民",852,19790916,四川省,3075,原房基之石壁的石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268678.jpg,,,,,,,,,, +五蕊东爪草,Tillaea schimperi,"张永田,郞楷永",1114,19650729,西藏自治区,3040,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00915450.jpg,,,,,,,,,, +,Tillaea schimperi,"刘成, 张挺, 亚吉东",18CS17459,20180911,西藏,2739,路边岩石上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484608.jpg,,,,,,,,,, +中华青牛胆,Tinospora sinensis,北京队,890781,19890505,广西壮族自治区,350,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01986477.jpg,,,,,,,,,, +中华青牛胆,Tinospora sinensis,C. W. Wang,89480,19400521,云南省,750,dense woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/01036713.jpg,,,,,,,,,, +中华青牛胆,Tinospora sinensis,Shiu Ying Hu,9873,19700411,香港,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01036706.jpg,,,,,,,,,, +,Tipularia szechuanica,Jin Xiaohua et Zhang Liang,11174,20110808,云南省,3050,alpine shrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/02025151.jpg,,,,,,,,,, +,Tipularia szechuanica,罗毅波,673,20010822,四川省,3750,近山顶 杜鹃 Picea 林下 岩石上 苔藓丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527280.jpg,,,,,,,,,, +,Tipularia szechuanica,C.W.Wang,66107,19350800,西藏自治区,3400,abies forest thck humus,,无花有果,https://image.cvh.ac.cn/files/l/PE/00805059.jpg,,,,,,,,,, +肿柄菊,Tithonia diversifolia,"张志耘,谢磊等",2016-127,20151208,广西壮族自治区,390,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112606.jpg,,,,,,,,,, +肿柄菊,Tithonia diversifolia,G.Batianoff,505155,20050528,,,widespread along drainage line,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064225.jpg,,,,,,,,,, +,Tithonia rotundifolia,邬文祥,7602,19821114,上海市,,花圃栽培,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00584661.jpg,,,,,,,,,, +圆叶肿柄菊,Tithonia rotundifolia,刘青林,242,19860819,京都市,,,,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH017802.jpg,,,,,,,,,, +飞龙掌血,Toddalia asiatica,李培元,5852,19590729,四川省,990,山坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/02248000.jpg,,,,,,,,,, +飞龙掌血,Toddalia asiatica,张彩飞,1041,20080730,重庆市,1045,山坡路边灌木丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02247999.jpg,,,,,,,,,, +飞龙掌血,Toddalia asiatica,厦大采集队,677,19630807,福建省,480,山谷水沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02247856.jpg,,,,,,,,,, +叉柱岩菖蒲,Tofieldia divergens,Jin Xiaohua et Zhang Liang,11093,20110806,云南省,3400,alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02025085.jpg,,,,,,,,,, +叉柱岩菖蒲,Tofieldia divergens,"李渤生,程树志",2779,19830207,西藏自治区,780,常绿雨林树上时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01945536.jpg,,,,,,,,,, +叉柱岩菖蒲,Tofieldia divergens,,14676,19830910,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867468.jpg,,,,,,,,,, +岩菖蒲,Tofieldia thibetica,赵清盛 师进斌等,117276,19830612,四川省,1150,林中岩上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02095077.jpg,,,,,,,,,, +岩菖蒲,Tofieldia thibetica,"Jin Xh,Wang LS,Wang Q et al.",ST0713,20130722,云南省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005507.jpg,,,,,,,,,, +宜昌东俄芹,Tongoloa dunnii,Anonymous,5567,19740713,四川省,4180,阴暗针叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01940356.jpg,,,,,,,,,, +宜昌东俄芹,Tongoloa dunnii,,741,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01536663.jpg,,,,,,,,,, +宜昌东俄芹,Tongoloa dunnii,王一峰等,94345,19940712,甘肃省,3350,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00931542.jpg,,,,,,,,,, +大东俄芹,Tongoloa elata,孙学刚等,20010549,20010821,甘肃省,2400,沟谷柳灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01808940.jpg,,,,,,,,,, +大东俄芹,Tongoloa elata,陇西山考察队,2628,19910924,福建省,1350~1620,林缘 草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01547931.jpg,,,,,,,,,, +大东俄芹,Tongoloa elata,青藏队横断山队,6025,19810901,四川省,3200,山坡 云杉下岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132057.jpg,,,,,,,,,, +纤细东俄芹,Tongoloa gracilis,D.E.Boufford et al.,37149,20060823,四川省,3750~3800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01924956.jpg,,,,,,,,,, +纤细东俄芹,Tongoloa gracilis,"那曲分队,陶德定",11120,19760828,西藏自治区,4100~4200,河边石砾草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755691.jpg,,,,,,,,,, +纤细东俄芹,Tongoloa gracilis,Ho Ting-nung et al.,1548,19930821,青海省,3200,Lake shore open sandy soil with stoloniferous Ranunculous slightly higher zone with dense turf,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755689.jpg,,,,,,,,,, +云南东俄芹,Tongoloa loloensis,CLD-90,1139,19901011,云南省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309066.jpg,,,,,,,,,, +云南东俄芹,Tongoloa loloensis,青藏队,4586,19810811,四川省,3400,山坡 云杉 林迹地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132080.jpg,,,,,,,,,, +云南东俄芹,Tongoloa loloensis,"周洪富,粟和毅",111238,19640929,重庆市,1730,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00931543.jpg,,,,,,,,,, +,Tongoloa rockii,ACE,1287,19940925,云南省,4675,In rocky areas and amongst screes,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755697.jpg,,,,,,,,,, +,Tongoloa rockii,"Rock, Joseph Francis Charles",9758,23-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00000521.jpg,,,,,,,,,, +城口东俄芹,Tongoloa silaifolia,孙学刚等,20010340,20010815,甘肃省,2900,沟谷糙皮桦林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01808944.jpg,,,,,,,,,, +城口东俄芹,Tongoloa silaifolia,,9115,19750628,四川省,3580,沟谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/00931549.jpg,,,,,,,,,, +城口东俄芹,Tongoloa silaifolia,河南生物研究所植物考察队,L0520,19830921,河南省,,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00931550.jpg,,,,,,,,,, +条叶东俄芹,Tongoloa taeniophylla,D.E.Boufford et al.,40122,20070820,四川省,3650,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01924604.jpg,,,,,,,,,, +条叶东俄芹,Tongoloa taeniophylla,王启无,65635,19350800,西藏自治区,3500,Grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755720.jpg,,,,,,,,,, +细叶东俄芹,Tongoloa tenuifolia,青藏队植被组,9811,19760826,西藏自治区,4320,Rhododendnn 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755724.jpg,,,,,,,,,, +细叶东俄芹,Tongoloa tenuifolia,R.C.Ching,20210,19390429,云南省,,In cultivation,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755723.jpg,,,,,,,,,, +细叶东俄芹,Tongoloa tenuifolia,李馨,72244,19570822,四川省,3550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755721.jpg,,,,,,,,,, +红椿,Toona ciliata,中国科学院广东合浦区植物调查队,1747,19560423,广西壮族自治区,50,路旁阴处疏林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01168232.jpg,,,,,,,,,, +红椿,Toona ciliata,李洪钧,5398,,湖北省,500,山岩下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01168230.jpg,,,,,,,,,, +红椿,Toona ciliata,戴天伦,102815,19580917,重庆市,1200,灌木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01168231.jpg,,,,,,,,,, +香椿,Toona sinensis,"李渤生,倪志诚,程树志",6525,19530815,西藏自治区,2400,常绿阔叶林内时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101111.jpg,,,,,,,,,, +香椿,Toona sinensis,黄河队,588,19570529,山西省,1400,阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082278.jpg,,,,,,,,,, +光叶蝴蝶草,Torenia asiatica,"王印政,彭华,邓德山等",3781,19981014,云南省,1250,山地 路旁 山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01568125.jpg,,,,,,,,,, +光叶蝴蝶草,Torenia asiatica,M.Suzuki et al.,98617,19980628,福建省,400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01493710.jpg,,,,,,,,,, +光叶蝴蝶草,Torenia asiatica,Shiu Ying Hu,11119,19711021,香港,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01493551.jpg,,,,,,,,,, +紫萼蝴蝶草,Torenia violacea,"朱大海,苏小镔,梁红英",743,20020727,四川省,620,山脚林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115812.jpg,,,,,,,,,, +紫萼蝴蝶草,Torenia violacea,C.M.Wang,W05259,20010825,台湾省,900,"On roadside of broadleaf forest,semi-shaded site.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01913575.jpg,,,,,,,,,, +紫萼蝴蝶草,Torenia violacea,周仕顺,6405,20090716,云南省,750,附生树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01884436.jpg,,,,,,,,,, +角叶鞘柄木,Toricellia angulata,"溥发鼎,曹亚玲",1103,19880720,重庆市,1300~1400,杂灌木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01608492.jpg,,,,,,,,,, +角叶鞘柄木,Toricellia angulata,北京队,218,19880527,湖南省,480~520,常绿阔叶林带 沟边 路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01608486.jpg,,,,,,,,,, +角叶鞘柄木,Toricellia angulata,张志松,401718,19640506,贵州省,2000,杂木林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01568507.jpg,,,,,,,,,, +鞘柄木,Toricellia tiliifolia,林秦文,2013-051,20130528,云南省,1600~1750,田边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02030765.jpg,,,,,,,,,, +鞘柄木,Toricellia tiliifolia,B.Bartholomew et al.,3784,19860326,,1620,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01630636.jpg,,,,,,,,,, +小窃衣,Torilis japonica,236四川任务组,79,19720727,四川省,,山坡沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02085283.jpg,,,,,,,,,, +小窃衣,Torilis japonica,刘彬彬,2261,20150714,湖北省,1350,溪沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02070223.jpg,,,,,,,,,, +小窃衣,Torilis japonica,黄河队,497,19540709,甘肃省,1250,山谷阴处灌木丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067522.jpg,,,,,,,,,, +云南榧树,Torreya fargesii var. yunnanensis,"Zsolt Debreczy,Gyongyver Biro and Istvan Racz,et a",43177,19950211,云南省,2800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00145625.jpg,,,,,,,,,, +云南木榧,Torreya fargesii var. yunnanensis,C.W.Wang,64122,1935/06/,云南,2300,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0047707.jpg,,,,,,,,,, +云南木榧,Torreya fargesii var. yunnanensis,J.F.Rock,10374,1923,云南; Yunnan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00000500.jpg,,,,,,,,,, +,Torricellia angulata,植物所三峡考察队,1153,20080505,重庆市,,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01827936.jpg,,,,,,,,,, +,Torricellia angulata,黔北队,923,19590519,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00159122.jpg,,,,,,,,,, +,Torricellia angulata,,188,19800504,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00159123.jpg,,,,,,,,,, +,Torricellia tiliifolia,王映明,4108,19880627,湖北省,1270,,,无花无果,https://image.cvh.ac.cn/files/l/HIB /0078717.jpg,,,,,,,,,, +梢柄木,Torricellia tiliifolia,陶国达,41744,19900309,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/030279.jpg,,,,,,,,,, +鞘柄木,Torricellia tiliifolia,魏升华 孙庆文 杨锦刚,3072064,20030720,贵州省,1100,路旁、水边、阳处,灌木,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0067394.jpg,,,,,,,,,, +尖叶漆,Toxicodendron acuminatum,"唐宇丹,林秦文",2010-146,20100925,西藏自治区,2746,南北向沟谷、缓坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02030758.jpg,,,,,,,,,, +尖叶漆,Toxicodendron acuminatum,王启无,90227,19410828,云南省,2000,路边丛林中,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0440708.jpg,,,,,,,,,, +镇康裂果漆,Toxicodendron griffithii var. barbatum,无,87008,19560512,云南省 ,0,,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0440988.jpg,,,,,,,,,, +镇康裂果漆,Toxicodendron griffithii var. barbatum,张五桥,84007,19840608,云南省,1800,山坡农田地,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0440989.jpg,,,,,,,,,, +,Toxicodendron griffithii var. barbatum,T. T. Yu,16862,1938/7/22,,2500,,,,https://image.cvh.ac.cn/files/l/HUH/A00248817.jpg,,,,,,,,,, +,Toxicodendron hookeri,何钜忠,125,19580407,云南省,1450,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245508.jpg,,,,,,,,,, +,Toxicodendron hookeri,"李渤生,程树志",4967,19830602,西藏自治区,800,江边时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245507.jpg,,,,,,,,,, +野漆,Toxicodendron succedaneum,付德志等,87-0677,19870513,四川省,900,沟边林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246957.jpg,,,,,,,,,, +野漆,Toxicodendron succedaneum,"张兵,向新",90614027,20090614,湖北省,1089,沟谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245963.jpg,,,,,,,,,, +野漆,Toxicodendron succedaneum,普查标本,14340,19590000,河南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245781.jpg,,,,,,,,,, +木蜡树,Toxicodendron sylvestre,冯国楣,14325,19511227,云南省,620,杂林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245577.jpg,,,,,,,,,, +木蜡树,Toxicodendron sylvestre,李洪钧,5158,19580721,湖北省,1000~1100,山顶阳处乔木下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245576.jpg,,,,,,,,,, +木蜡树,Toxicodendron sylvestre,西师生物系,2485,19590510,重庆市,1800,山顶侧阳山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245575.jpg,,,,,,,,,, +漆,Toxicodendron vernicifluum,Feng,4077,19400522,云南省,2600,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245732.jpg,,,,,,,,,, +漆,Toxicodendron vernicifluum,C.T.Hwa,525,19480508,四川省,1021,in woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245730.jpg,,,,,,,,,, +漆,Toxicodendron vernicifluum,"关克俭,陈艺林",283,19590519,山西省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245729.jpg,,,,,,,,,, +西藏弓果藤,Toxocarpus himalensis,,6405,19660612,云南省,1800,山顶杂林干燥,,有花无果,https://image.cvh.ac.cn/files/l/PE/01456996.jpg,,,,,,,,,, +西藏弓果藤,Toxocarpus himalensis,贵州队,1916,19600422,贵州省,480,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0521481.jpg,,,,,,,,,, +西藏弓果藤,Toxocarpus himalensis,云大,46,19600326,云南省 ,800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0521472.jpg,,,,,,,,,, +紫花络石,Trachelospermum axillare,"朱大海,王永,王炳锋,苏小镔",558,20020619,四川省,1050,山谷沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115599.jpg,,,,,,,,,, +紫花络石,Trachelospermum axillare,M.Labbe Delavay,,19900000,,3750,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115194.jpg,,,,,,,,,, +贵州络石,Trachelospermum bodinieri,"方鼎,覃德海等",25077,19810501,广西壮族自治区,1230,石灰山,山坡,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009287.jpg,,,,,,,,,, +贵州络石,Trachelospermum bodinieri,,23647,19590923,云南省,2200,沟边阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01648254.jpg,,,,,,,,,, +贵州络石,Trachelospermum bodinieri,C.O.Levine,s.n.,19181204,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01603845.jpg,,,,,,,,,, +短柱络石,Trachelospermum brevistylum,红水河植物考察队,501,19890510,广西壮族自治区,900,山地山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009286.jpg,,,,,,,,,, +短柱络石,Trachelospermum brevistylum,周仲凯,9328,19930525,湖南省,500,山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01648255.jpg,,,,,,,,,, +短柱络石,Trachelospermum brevistylum,陇西山考察队,786,19910601,福建省,1000~1300,山坡 沟边 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01547998.jpg,,,,,,,,,, +络石,Trachelospermum jasminoides,夏江林,365,19960820,湖南省,200,石上 路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115528.jpg,,,,,,,,,, +络石,Trachelospermum jasminoides,"Chien-Fan Chen,S.W.Chung",4418,20120312,台湾省,,roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114716.jpg,,,,,,,,,, +络石,Trachelospermum jasminoides,"张志耘,谢磊,张强",2015-081,20150502,广西壮族自治区,200~300,valley roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064627.jpg,,,,,,,,,, +云南络石,Trachelospermum yunnanense,北京所横断山队,1862,19810723,云南省,1950,冲江河南岸 山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01132630.jpg,,,,,,,,,, +云南络石,Trachelospermum yunnanense,姜恕等,10296,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00999288.jpg,,,,,,,,,, +云南络石,Trachelospermum yunnanense,杨光辉,58269,19580611,重庆市,1220,河边林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00999287.jpg,,,,,,,,,, +裂苞瘤果芹,Trachydium involucellatum,青藏队,10626,19820926,西藏自治区,4500,山坡 草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01129830.jpg,,,,,,,,,, +裂苞瘤果芹,Trachydium involucellatum,冯国楣,6590,19400813,云南省,3800~3900,岩坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0466300.jpg,,,,,,,,,, +裂苞瘤果芹,Trachydium involucellatum,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,679,20120805,西藏,,灌丛下,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230530.jpg,,,,,,,,,, +瘤果芹,Trachydium roylei,青藏队补点组,751941,19750910,西藏自治区,3800~3900,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00780080.jpg,,,,,,,,,, +瘤果芹,Trachydium roylei,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0462254.jpg,,,,,,,,,, +瘤果芹,Trachydium roylei,"张挺, 郭永杰, 刘成等",10CS2230,20100804,云南,,"Alpine meadow and grazing pasture with Primula, Trollius, Pedicularis, Polygonum, Halenia, Geranium.",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1337383.jpg,,,,,,,,,, +单叶瘤果芹,Trachydium simplicifolium,George Forrest,27892,19290800,云南省,4000,Open stony meadows,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860133.jpg,,,,,,,,,, +单叶瘤果芹,Trachydium simplicifolium,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191474,20190926,云南,4258,亚热带,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483402.jpg,,,,,,,,,, +,Trachydium subnudum,PE西藏队,PE5183,20170826,西藏自治区,4364,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330201.jpg,,,,,,,,,, +细叶糙果芹,Trachyspermum ammi,,?,71.08.04,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00025062.jpg,,,,,,,,,, +糙果芹,Trachyspermum scaberulum,谭仕兴,246,20050228,贵州省,950,山坡林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575720.jpg,,,,,,,,,, +糙果芹,Trachyspermum scaberulum,,1149,19860911,湖南省,1780,荒地山顶山阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575560.jpg,,,,,,,,,, +糙果芹,Trachyspermum scaberulum,"程树志,李渤生",1769,19821113,西藏自治区,1250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538806.jpg,,,,,,,,,, +马尔康糙果芹,Trachyspermum triradiatum,青藏队,14581,19830909,四川省,2750,河谷 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132095.jpg,,,,,,,,,, +马尔康糙果芹,Trachyspermum triradiatum,郭本兆 王为义,22927,19770819,西藏自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/67653.jpg,,,,,,,,,, +,Tragopogon dubius,老铁山采集队,65,20080430,辽宁省,24,海边田中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01894240.jpg,,,,,,,,,, +,Tragopogon dubius,Loy R.Phillippe Richard L.Larimore et al,36817,20040614,,2268,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01719759.jpg,,,,,,,,,, +长喙婆罗门参,Tragopogon dubius,"刘成, 亚吉东, 迟建才",15CS10155,20150611,新疆,,草场,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375946.jpg,,,,,,,,,, +纤细婆罗门参,Tragopogon gracilis,青藏队植被组,12875,19760629,西藏自治区,3700,山地阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772126.jpg,,,,,,,,,, +纤细婆罗门参,Tragopogon gracilis,H.Tabata etc.,12447,19830507,Koshi Zone,2700,open gaon,,有花无果,https://image.cvh.ac.cn/files/l/KUN/739746.jpg,,,,,,,,,, +草地婆罗门参,Tragopogon pratensis,"陈又生,袁慊",141644,20140819,新疆维吾尔自治区,,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040548.jpg,,,,,,,,,, +草地婆罗门参,Tragopogon pratensis,E.Simacheva,223a,19890804,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01917610.jpg,,,,,,,,,, +准噶尔婆罗门参,Tragopogon songoricus,关克俭,3664,19570818,新疆维吾尔自治区,,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01691900.jpg,,,,,,,,,, +准噶尔婆罗门参,Tragopogon songoricus,S.Nikitin,7449,19340821,,1900~2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01672831.jpg,,,,,,,,,, +准噶尔婆罗门参,Tragopogon songoricus,西植新疆队,966,78.07.05,新疆维吾尔自治区 ,4100,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00044115.jpg,,,,,,,,,, +,Tragus berteronianus,段长虹,Dch0273,20140711,山西省,1190,黄土高坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015126.jpg,,,,,,,,,, +,Tragus berteronianus,郭成勇,20063-359-7,20060827,山东省,250,田边荒地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01905537.jpg,,,,,,,,,, +,Tragus mongolorum,郭成勇,052236-1,20050715,山东省,250,山坡荒草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01929535.jpg,,,,,,,,,, +锋芒草,Tragus mongolorum,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1437-3147,20190811,甘肃,1569,山坡草地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1477146.jpg,,,,,,,,,, +锋芒草,Tragus mongolorum,"蔡杰, 秦少发",15CS11369,20150924,云南,1570,干热河谷灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445009.jpg,,,,,,,,,, +丁茜,Trailliaedoxa gracilis,D.E.Boufford et al.,42101,20100720,云南省,1800~2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920590.jpg,,,,,,,,,, +丁茜,Trailliaedoxa gracilis,T.T.Yu,1348,19320824,四川省,1450,mt.slope rocky place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00839795.jpg,,,,,,,,,, +丁茜,Trailliaedoxa gracilis,G.Forrest,12368,19140700,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0511555.jpg,,,,,,,,,, +,Trapa natans,普查标本,29358,19590000,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114301.jpg,,,,,,,,,, +,Trapa natans,Anonymous,1587,19571009,浙江省,,寺内竹林边泉水池内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114302.jpg,,,,,,,,,, +,Trapa natans,T.N.Liou,6259,19321128,,238,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02114300.jpg,,,,,,,,,, +羽脉山黄麻(麻椰树),Trema levigata,彭基泰,30012,19830500,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045557.jpg,,,,,,,,,, +羽脉山黄麻(麻椰树),Trema levigata,Wuyi Exp.,106,19790812,福建省,700,路旁灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847048.jpg,,,,,,,,,, +羽脉山黄麻(麻椰树),Trema levigata,中国科学院西南综考队川滇黔接壤分队,281,19650717,云南省,1370,山坡路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01847045.jpg,,,,,,,,,, +异色山黄麻,Trema orientalis,川黔队,148,19560423,重庆市,250,山地 山坡阳处 疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083263.jpg,,,,,,,,,, +异色山黄麻,Trema orientalis,"李渤生,程树志",2716,19830204,西藏自治区,1200~850,半常绿雨林阴坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02073468.jpg,,,,,,,,,, +异色山黄麻,Trema orientalis,邓云飞等,15401,20001007,广西壮族自治区,350,山地山谷路旁灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984634.jpg,,,,,,,,,, +短檐苣苔,Tremacron forrestii,"李鹏伟,冯翠元",PWC044,20130718,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02106092.jpg,,,,,,,,,, +短檐苣苔,Tremacron forrestii,青藏队,14918,19831003,云南省,2500,云南松林下岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173709.jpg,,,,,,,,,, +,Tremacron obliquifolium,李鹏伟,LPW2012024,20120911,四川省,1260,路边阴湿石壁上,,无花有果,https://image.cvh.ac.cn/files/l/PE/02052819.jpg,,,,,,,,,, +狭叶短檐苣苔,Tremacron obliquifolium,盐源县队,439,19780630,四川,1500,岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717901186.jpg,,,,,,,,,, +木里短檐苣苔,Tremacron urceolatum,税玉民等,N0606,20100819,云南,2848,山坡灌丛,草本,,https://image.cvh.ac.cn/files/l/KUN/1385575.jpg,,,,,,,,,, +木里短檐苣苔,Tremacron urceolatum,"张挺, 郭永杰, 吴之坤, 姜虹, 李贵能",16CS12610,20160817,四川,2767,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1452054.jpg,,,,,,,,,, +刺通草,Trevesia palmata,红水河植物考察队,884,19890503,广西壮族自治区,230,林内,林缘,石灰岩山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01991760.jpg,,,,,,,,,, +刺通草,Trevesia palmata,绿春队,1090,19740521,云南省,750,河谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01584508.jpg,,,,,,,,,, +刺通草,Trevesia palmata,安顺队,198,19590717,贵州省,500,山谷阴处灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01584294.jpg,,,,,,,,,, +,Triadica sebifera,"席建明,万成志",81315,20080717,湖南省,400~800,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239525.jpg,,,,,,,,,, +,Triadica sebifera,赣南采集队,950,20071101,江西省,210,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239524.jpg,,,,,,,,,, +,Triadica sebifera,"张寿洲,李良千等",1737,20050520,广东省,0~50,海边山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239522.jpg,,,,,,,,,, +蒺藜,Tribulus terrestris,PE西藏队,PE6778,20170917,西藏自治区,3568,干山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330419.jpg,,,,,,,,,, +蒺藜,Tribulus terrestris,陈全胜,CF-0006-168,20170824,内蒙古自治区,1881,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246880.jpg,,,,,,,,,, +蒺藜,Tribulus terrestris,周口店考察队,89,20080712,北京市,125,路边灌草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112102.jpg,,,,,,,,,, +毛束草,Trichodesma calycosum,王洪,4601,20000303,云南省,800,沟从边半阴处多石,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648943.jpg,,,,,,,,,, +毛束草,Trichodesma calycosum,黄雅怡等,234,20010227,台湾省,300,Mixed bamboo plantation and broadleaf forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361467.jpg,,,,,,,,,, +毛束草,Trichodesma calycosum,,201,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01355349.jpg,,,,,,,,,, +针苞菊,Tricholepis furcata,"周卓,李彦波,孙露,张成,阳亿",ZJW-3836,20150906,西藏自治区,3353,高山栎林,杜鹃林,,,https://image.cvh.ac.cn/files/l/KUN/1274783.jpg,,,,,,,,,, +针苞菊,Tricholepis furcata,H.Tabata etc.,13616,19821012,Koshi Zone,2400,open grassland.,,有花无果,https://image.cvh.ac.cn/files/l/KUN/731225.jpg,,,,,,,,,, +针苞菊,Tricholepis furcata,森林经环第四大队,10,1958,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/731226.jpg,,,,,,,,,, +,Trichophorum distigmaticum,王金亭,3242,19610523,西藏自治区,3770,河漫滩 潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01516763.jpg,,,,,,,,,, +,Trichophorum distigmaticum,"张永田,郞楷永",137,19650629,四川省,3650,山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01516762.jpg,,,,,,,,,, +,Trichophorum pumilum,青藏队,6222,19750707,西藏自治区,4600,河边草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01516797.jpg,,,,,,,,,, +,Trichophorum pumilum,田效文,1023,19830612,四川省,,高山草甸草场,,有花有果,https://image.cvh.ac.cn/files/l/PE/01516790.jpg,,,,,,,,,, +心叶栝楼,Trichosanthes cordata,青藏队,74-4596,19740826,西藏自治区,1200,山坡阔叶林内,,无花无果,https://image.cvh.ac.cn/files/l/PE/02010482.jpg,,,,,,,,,, +糙点栝楼,Trichosanthes dunniana,林秦文,2013-052,20130528,云南省,1600~1750,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040570.jpg,,,,,,,,,, +糙点栝楼,Trichosanthes dunniana,,232,19730822,四川省,500,路边林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671134.jpg,,,,,,,,,, +糙点栝楼,Trichosanthes dunniana,王功范,1-0477,20030627,贵州省,680,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671126.jpg,,,,,,,,,, +马干铃栝楼,Trichosanthes lepiniana,倪志诚,273,19830530,西藏自治区,1100,河谷半常绿雨林林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010483.jpg,,,,,,,,,, +马干铃栝楼,Trichosanthes lepiniana,B.Bartholomew,1594,19840508,,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01672011.jpg,,,,,,,,,, +马干铃栝楼,Trichosanthes lepiniana,C.W.Wang,80616,19400524,云南省,700,Mixed woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671177.jpg,,,,,,,,,, +,Trichosanthes pilosa,刘恩德,方伟等,3596,20120324,云南省 ,2270,upon thickets,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1228398.jpg,,,,,,,,,, +,Trichosanthes pilosa,"刘成, 亚吉东, 张桥蓉, 王亚林",16CS14130,20161221,云南,1483,路边山坡,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1450242.jpg,,,,,,,,,, +全缘栝楼,Trichosanthes pilosa,葛斌杰、左云娟、龚玲,GBJ00349,20110513,广西,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0095506.jpg,,,,,,,,,, +中华栝楼,Trichosanthes rosthornii,"朱大海,王永,王炳锋等",451,20020528,四川省,970,山坡林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114847.jpg,,,,,,,,,, +中华栝楼,Trichosanthes rosthornii,金佛山考察队,1195,19860619,重庆市,850,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010521.jpg,,,,,,,,,, +中华栝楼,Trichosanthes rosthornii,L.H.,560,19570531,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010520.jpg,,,,,,,,,, +红花栝楼,Trichosanthes rubriflos,"覃海宁,张明理,高天刚,朱大海,农必明",2259,19981105,广西壮族自治区,800,山地、山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02016929.jpg,,,,,,,,,, +红花栝楼,Trichosanthes rubriflos,周仕顺,5424,20090508,云南省,1100,沟谷雨林林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01884273.jpg,,,,,,,,,, +粉花栝楼,Trichosanthes subrosea,T.T.Yu,19429,19380726,云南省,1700,Upon woods,vine,有花无果,https://image.cvh.ac.cn/files/l/PE/01671195.jpg,,,,,,,,,, +粉花栝楼,Trichosanthes subrosea,昆明工作站,273,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0209841.jpg,,,,,,,,,, +粉花栝楼,Trichosanthes subrosea,博白县药材公司,s.n,19750205,广西壮族自治区,,,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI050128.jpg,,,,,,,,,, +三尖栝楼,Trichosanthes tricuspidata,"张志松,张永田",2308,19600511,贵州省,,山坡灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671198.jpg,,,,,,,,,, +三尖栝楼,Trichosanthes tricuspidata,陈伟烈,10976,19800708,西藏自治区,950,林边 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447202.jpg,,,,,,,,,, +三尖栝楼,Trichosanthes tricuspidata,K.M.Feng,11167,19470812,云南省,1900,in mixed forests,,无花有果,https://image.cvh.ac.cn/files/l/PE/01199690.jpg,,,,,,,,,, +薄叶栝楼,Trichosanthes wallichiana,K.M.Feng,11133,19470812,云南省,1800~2200,in mixed forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671201.jpg,,,,,,,,,, +薄叶栝楼,Trichosanthes wallichiana,M.Takahashi,1071,19820713,,900,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01199705.jpg,,,,,,,,,, +薄叶栝楼,Trichosanthes wallichiana,236任务组,1316,19700625,江西省,500,沟边林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01199704.jpg,,,,,,,,,, +黄花油点草,Tricyrtis pilosa,崔铁成,1142,19890803,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01944879.jpg,,,,,,,,,, +黄花油点草,Tricyrtis pilosa,鄂神农架队,21122,19760625,湖北省,580,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01056724.jpg,,,,,,,,,, +黄花油点草,Tricyrtis pilosa,李巨平,Lijuping0175A,20080910,湖北,1200,落叶阔叶林林下草丛中,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1392608.jpg,,,,,,,,,, +羽芒菊,Tridax procumbens,Y.M.shui et Chen Wen-Hong,13060,20001015,云南省,900,in the brush,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017902.jpg,,,,,,,,,, +羽芒菊,Tridax procumbens,,,19731122,广西壮族自治区,700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016219.jpg,,,,,,,,,, +羽芒菊,Tridax procumbens,S.G.McKenna,SGM121,20080730,,20,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885724.jpg,,,,,,,,,, +,Triglochin maritima,PE西藏考察队,7537,20180619,西藏自治区,4374,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332498.jpg,,,,,,,,,, +,Triglochin maritima,泛喜马拉雅植物志巴基斯坦采集队,FPH-1368,20120908,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02005548.jpg,,,,,,,,,, +,Triglochin maritima,C.Davazamc et P.Hanelt,1066,19620618,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01950409.jpg,,,,,,,,,, +,Triglochin palustris,青藏队植被组,12046,19760726,西藏自治区,4800,水边草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076464.jpg,,,,,,,,,, +,Triglochin palustris,段长虹,Dch0189,20140705,山西省,1213,砂石山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02034045.jpg,,,,,,,,,, +,Triglochin palustris,泛喜马拉雅植物志巴基斯坦采集队,FPH-1370,20120908,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004608.jpg,,,,,,,,,, +,Trigonella cachemiriana,PE西藏考察队,7924,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333804.jpg,,,,,,,,,, +,Trigonella cachemiriana,Walter Koelz,2734,19310830,新疆维吾尔自治区,4000,On dry shade slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/00320406.jpg,,,,,,,,,, +,Trigonella emodi,PE西藏考察队,7710,20180623,西藏自治区,4175,流石滩,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333797.jpg,,,,,,,,,, +,Trigonella emodi,H.Ohba et al.,8330585,19830718,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022483.jpg,,,,,,,,,, +,Trigonella fimbriata,张永田,郎楷永,3832,19660611,西藏自治区,3750,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0624188.jpg,,,,,,,,,, +,Trigonella pamirica,高平等,107,19840903,内蒙古自治区,,复沙地草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01813217.jpg,,,,,,,,,, +帕米尔扁蓿豆,Trigonella pamirica,生物研究所西藏考察队,3097,19740612,新疆维吾尔自治区,3360,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/42375.jpg,,,,,,,,,, +,Trigonella pamirica,高平等,107,19840903,内蒙古,,复沙地草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01813217.jpg,,,,,,,,,, +金川附地菜,Trigonotis barkamensis,李馨、朱官政,75125,19570702,四川省,2250,山坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029727.jpg,,,,,,,,,, +,Trigonotis barkamensis,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-125-B42,20190817,四川,3854,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260260.jpg,,,,,,,,,, +全苞附地菜,Trigonotis bracteata,"应俊生,洪德元",650802,19650723,西藏自治区,2080,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361503.jpg,,,,,,,,,, +全苞附地菜,Trigonotis bracteata,蔡杰,刘恩德,郭永杰,13CS7670,20130531,西藏,2220,路边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1395974.jpg,,,,,,,,,, +灰叶附地菜,Trigonotis cinereifolia,"张永田,郞楷永",773,19650720,西藏自治区,2030,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361521.jpg,,,,,,,,,, +扭梗附地菜,Trigonotis delicatula,T.T.Yu,14003,19370819,四川省,3400,border of woods grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361525.jpg,,,,,,,,,, +扭梗附地菜,Trigonotis delicatula,George Forrest,27867,19290700,云南省,3333,Open stony meadows,,有花无果,https://image.cvh.ac.cn/files/l/PE/01355531.jpg,,,,,,,,,, +扭梗附地菜,Trigonotis delicatula,,21268,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0557523.jpg,,,,,,,,,, +细梗附地菜,Trigonotis gracilipes,D.E.Boufford et al,42161,20100722,云南省,3680~3840,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883720.jpg,,,,,,,,,, +细梗附地菜,Trigonotis gracilipes,青藏队补点队,751772,19750828,西藏自治区,2600,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361541.jpg,,,,,,,,,, +毛花附地菜,Trigonotis heliotropifolia,George Forrest,22054,,云南省,3000~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361537.jpg,,,,,,,,,, +毛花附地菜,Trigonotis heliotropifolia,Y.Tsiang,11849,19330000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01355603.jpg,,,,,,,,,, +,Trigonotis leucantha,姜恕等,9644,19610723,四川省,3700,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01355631.jpg,,,,,,,,,, +白花附地菜,Trigonotis leucantha,许雪敏,胡佺,BNU2019SC126,20190803,四川,3366,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0049332.jpg,,,,,,,,,, +,Trigonotis longipes,高信芬、彭玉兰,1692,20010812,四川省,2570,河边灌丛间,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0188321.jpg,,,,,,,,,, +毛脉附地菜,Trigonotis microcarpa,C.W.Wang,74086,19360500,云南省,1540,thickets,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114844.jpg,,,,,,,,,, +毛脉附地菜,Trigonotis microcarpa,"F.Miyamoto,M.Amano,H.Ikeda etc.",9592348,19950820,,4030~4590,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101914.jpg,,,,,,,,,, +冕宁附地菜,Trigonotis muliensis,D.E.Boufford et al.,32717,20050709,四川省,3800~4000,thickets and forest of mixed shrubs in ravine and interspersed meadow-shrub clearings,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050324.jpg,,,,,,,,,, +,Trigonotis muliensis,"D. E. Boufford, J. H. Chen, K. Fujikawa, S. L. Kel",32717,,,3925,,,,https://image.cvh.ac.cn/files/l/HUH/A00306964.jpg,,,,,,,,,, +附地菜(原变种),Trigonotis peduncularis var. peduncularis,曾蔚欣、李娜、徐鑫,200702060,20070716,河北,1400,,,有花有果,https://image.cvh.ac.cn/files/l/PEM/PEM0008563.jpg,,,,,,,,,, +附地菜,Trigonotis peduncularis var. peduncularis,王丽红,2008610001,20080610,黑龙江,196m,林缘荒地,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0002272.jpg,,,,,,,,,, +祁连山附地菜,Trigonotis petiolaris,"康藏植物考察队(Kham Expedition)(陈又生,高云东,周广明,何理,张宪春,马祥光)",10-0979,20100731,青海省,4800,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111268.jpg,,,,,,,,,, +祁连山附地菜,Trigonotis petiolaris,白水江采集队,4504,20070509,甘肃省,1250,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800566.jpg,,,,,,,,,, +高山附地菜,Trigonotis rockii,PE西藏考察队,7612,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331680.jpg,,,,,,,,,, +高山附地菜,Trigonotis rockii,George Forrest,26918,19250700,,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01360418.jpg,,,,,,,,,, +圆叶附地菜,Trigonotis rotundata,C.S.Chang et al.,SI0942,20100702,四川省,4060,Alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885858.jpg,,,,,,,,,, +圆叶附地菜,Trigonotis rotundata,George Forrest,20519,,云南省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432007.jpg,,,,,,,,,, +西藏附地菜,Trigonotis tibetica,PE西藏考察队,7331,20180616,西藏自治区,3631,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332666.jpg,,,,,,,,,, +西藏附地菜,Trigonotis tibetica,F.Miyamoto et al.,9580205,19950805,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052400.jpg,,,,,,,,,, +西藏附地菜,Trigonotis tibetica,"傅德志,陈淑荣,邵毅贞等",1530,20140421,四川省,1300~1600,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02021491.jpg,,,,,,,,,, +假冠毛草,Trikeraia pappiformis,青藏科考队,12593,19760803,西藏自治区,3550,山地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718325.jpg,,,,,,,,,, +假冠毛草,Trikeraia pappiformis,北京所横断山队,3079,19810816,云南省,2100,江支沟湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718324.jpg,,,,,,,,,, +假冠毛草,Trikeraia pappiformis,崔友文,5523,19510823,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718321.jpg,,,,,,,,,, +西藏延龄草,Trillium govanianum,,477,19590621,西藏自治区,3100,针阔叶林,,无花无果,https://image.cvh.ac.cn/files/l/PE/00035328.jpg,,,,,,,,,, +西藏延龄草,Trillium govanianum,J.F.Duthie,,18990715,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0646706.jpg,,,,,,,,,, +延龄草,Trillium tschonoskii,PE-NIBR Changbaishan Exped.,234-5,20140612,吉林省,1674,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02037701.jpg,,,,,,,,,, +延龄草,Trillium tschonoskii,"杨红梅,朗校安等",1612,20140423,四川省,1450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021818.jpg,,,,,,,,,, +延龄草,Trillium tschonoskii,青藏队,1031,19810614,云南省,3500,冷杉-云杉-箭竹混交林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851815.jpg,,,,,,,,,, +穿心莛子,Triosteum himalayanum,PE西藏考察队,7663,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333224.jpg,,,,,,,,,, +穿心莛子,Triosteum himalayanum,D.E.Boufford et al.,38158,20070725,四川省,3550~3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916537.jpg,,,,,,,,,, +莛子,Triosteum pinnatifidum,彭泽祥,94,19580703,甘肃省,2600,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02235804.jpg,,,,,,,,,, +莛子,Triosteum pinnatifidum,"张力,田先华",T935021,19930510,陕西省,1450,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235970.jpg,,,,,,,,,, +双参,Triplostegia glandulifera,PE西藏队,PE6404,20170911,西藏自治区,3120,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333188.jpg,,,,,,,,,, +双参,Triplostegia glandulifera,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",102,20020812,云南省,2400,次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232665.jpg,,,,,,,,,, +双参,Triplostegia glandulifera,赵佐成,4897,19931028,四川省,1950,河滩阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232666.jpg,,,,,,,,,, +大花双参,Triplostegia grandiflora,赵佐成,4493,19931024,四川省,2050,阳处山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240157.jpg,,,,,,,,,, +大花双参,Triplostegia grandiflora,"Jin XH,Wang LS,Wang Q etc.",ST1424,20130730,,3100~3200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232069.jpg,,,,,,,,,, +大花双参,Triplostegia grandiflora,西藏中草药普查队,4377,19720901,西藏自治区,,灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811044.jpg,,,,,,,,,, +中华草沙蚕,Tripogon chinensis,黄河队,8811,19560920,甘肃省,2200,山坡阳处岩石山,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094284.jpg,,,,,,,,,, +中华草沙蚕,Tripogon chinensis,黄河队,7980,19560914,宁夏回族自治区,,山坡阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094281.jpg,,,,,,,,,, +中华草沙蚕,Tripogon chinensis,云台山采集队,221,20080923,河南省,,石壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015939.jpg,,,,,,,,,, +线叶草沙蚕,Tripogon filiformis,"Peng hua,Liu Yanchun and et al.",80,20070718,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089464.jpg,,,,,,,,,, +线叶草沙蚕,Tripogon filiformis,万涛等,FSB-706,20130708,四川省,,沿路,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994260.jpg,,,,,,,,,, +玫瑰紫草沙蚕,Tripogon purpurascens,青藏队植被组,8860,19760703,西藏自治区,2900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718599.jpg,,,,,,,,,, +玫瑰紫草沙蚕,Tripogon purpurascens,黄河调查队,7928,19560909,甘肃省,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/55506.jpg,,,,,,,,,, +玫瑰紫草沙蚕,Tripogon purpurascens,黄河队,3065,19550000,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/241083.jpg,,,,,,,,,, +,Tripogon sichuanicus,,5258,19740529,四川省,1620,干旱河谷公路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718601.jpg,,,,,,,,,, +四川草沙蚕,Tripogon sichuanicus,彭玉兰、余奇、李林霖,THP-KD-1615,20170621,四川,3400,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255457.jpg,,,,,,,,,, +,Tripogon trifidus,青藏队补点组,751759,19750828,西藏自治区,2600,林间空地碎石堆,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718608.jpg,,,,,,,,,, +,Tripogon trifidus,青藏队,9888,19820903,云南省,1900~2100,山坡路边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718606.jpg,,,,,,,,,, +,Tripogon trifidus,青藏队,4571,19810811,四川省,3500,山沟林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718602.jpg,,,,,,,,,, +,Tripolium pannonicum,老铁山采集队,684,20081003,辽宁省,16,海边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01894574.jpg,,,,,,,,,, +,Tripolium pannonicum,董金廷,HNP0128,20131004,河南,,,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU078236.jpg,,,,,,,,,, +碱菀,Tripolium pannonicum,毕玉科等,BYK0624,20120408,浙江省,20.5056,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0006552.jpg,,,,,,,,,, +尼泊尔双蝴蝶,Tripterospermum volubile,龙茹等,90806001,20090806,湖北省,1400,阴湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989879.jpg,,,,,,,,,, +尼泊尔双蝴蝶,Tripterospermum volubile,西藏中草药普查队,1419,19720823,西藏自治区,2300,山麓,,无花有果,https://image.cvh.ac.cn/files/l/PE/01485992.jpg,,,,,,,,,, +尼泊尔双蝴蝶,Tripterospermum volubile,"H.Ohashi,H.Ohba & Y.Tateishi",775749,19770924,,0,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440271.jpg,,,,,,,,,, +雷公藤,Tripterygium wilfordii,"刘恩德,方伟 ,徐洲锋等",4470,20150704,云南省,1810,山坡灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111820.jpg,,,,,,,,,, +雷公藤,Tripterygium wilfordii,三峡考察队,1630,20080715,重庆市,1830~1887,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02028560.jpg,,,,,,,,,, +雷公藤,Tripterygium wilfordii,陶一鹏,67672,19840731,广西壮族自治区,750,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02028558.jpg,,,,,,,,,, +,Trisetum aeneum,"汤宗孝,田效文,孙庆国",592,19820803,四川省,3420,疏林灌丛 草场 山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645891.jpg,,,,,,,,,, +,Trisetum agrostideum,张以礼等,153,19980000,新疆维吾尔自治区,3000,高原山地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718619.jpg,,,,,,,,,, +,Trisetum agrostideum,未知,256,19850730,新疆,,山地草甸,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00604073.jpg,,,,,,,,,, +高山三毛草,Trisetum altaicum,张新时等,天山-207,19860801,新疆维吾尔自治区,3130,冰碛草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805907.jpg,,,,,,,,,, +高山三毛草,Trisetum altaicum,T.S.Elias et al.,4268,19780819,,1760,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01706220.jpg,,,,,,,,,, +高山三毛草,Trisetum altaicum,张经炜,1107,19730821,西藏自治区,3900,东坡(N70度E),,有花有果,https://image.cvh.ac.cn/files/l/PE/01484599.jpg,,,,,,,,,, +三毛草,Trisetum bifidum,北京队,892079,19890501,广西壮族自治区,500,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981451.jpg,,,,,,,,,, +三毛草,Trisetum bifidum,H.Ohba et al.,s.n.,19880509,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01951119.jpg,,,,,,,,,, +三毛草,Trisetum bifidum,"安明态,吴华丽",5125,20030606,贵州省,1280,山坡草丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01951112.jpg,,,,,,,,,, +长穗三毛草,Trisetum clarkei,PE西藏考察队,7006,20180608,西藏自治区,3892,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333045.jpg,,,,,,,,,, +长穗三毛草,Trisetum clarkei,"汤宗孝,田效文,孙庆国",58411,19820820,四川省,3900,河谷坡麓 阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645865.jpg,,,,,,,,,, +康定三毛草,Trisetum kangdingense,高信芬,鞠文彬,郑臣臣,THP-KD-5750,20170809,四川,4427,草地灌丛,多年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0256020.jpg,,,,,,,,,, +,Trisetum micans,童浩华,145,19850909,西藏自治区,4927,高寒山地山口石砾山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718831.jpg,,,,,,,,,, +,Trisetum micans,,7307,19740705,四川省,4300,向阳草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718828.jpg,,,,,,,,,, +优雅三毛草,Trisetum scitulum,白水江考察队,354,20060627,甘肃省,3148,林缘或林内,,无花无果,https://image.cvh.ac.cn/files/l/PE/01825015.jpg,,,,,,,,,, +优雅三毛草,Trisetum scitulum,北京所横断山队,2336,19810730,云南省,3000,云南 松林下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01401963.jpg,,,,,,,,,, +优雅三毛草,Trisetum scitulum,西藏队植被组,6051,19750902,西藏自治区,4900~5000,流石坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01401964.jpg,,,,,,,,,, +,Trisetum sibircum,"清水建美,近田文弘等",481,19910731,新疆维吾尔自治区,2450,Picea 林间草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01470035.jpg,,,,,,,,,, +,Trisetum sibircum,李馨,73051,19570710,四川省,4100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718826.jpg,,,,,,,,,, +西伯利亚三毛草,Trisetum sibircum,付坤俊,10398,1957/8/13,陕西省,3100,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0099847.jpg,,,,,,,,,, +单毛刺蒴麻,Triumfetta annua,北京队,893018,19891115,广西壮族自治区,,山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999964.jpg,,,,,,,,,, +单毛刺蒴麻,Triumfetta annua,攀枝花苏铁考察队,416,20100913,四川省,2246,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879914.jpg,,,,,,,,,, +单毛刺蒴麻,Triumfetta annua,萧百中,4641,20050902,湖南省,500,山麓,,有花无果,https://image.cvh.ac.cn/files/l/PE/01610327.jpg,,,,,,,,,, +毛刺蒴麻,Triumfetta cana,胡忠辉,545,20020901,湖南省,630,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02226975.jpg,,,,,,,,,, +毛刺蒴麻,Triumfetta cana,"黄向旭,陈有卿,李素英",10929,20110917,江西省,,山地,路旁,山谷,疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02226969.jpg,,,,,,,,,, +毛刺蒴麻,Triumfetta cana,"简焯坡,应俊生,马成功,李雅茹等",401754,19641005,福建省,400,山坡,常绿阔叶林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02226968.jpg,,,,,,,,,, +长勾刺蒴麻,Triumfetta pilosa,中苏队,7439,19570320,云南省,900,阳处,疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02227179.jpg,,,,,,,,,, +长勾刺蒴麻,Triumfetta pilosa,邓云飞,14710,20000926,广西壮族自治区,510,山地,山谷,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02226991.jpg,,,,,,,,,, +长勾刺蒴麻,Triumfetta pilosa,Anonymous,s.n.,,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02226988.jpg,,,,,,,,,, +刺蒴麻,Triumfetta rhomboidea,65-文山组,255,19651109,云南省,1360,田边地角草丛内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02226999.jpg,,,,,,,,,, +刺蒴麻,Triumfetta rhomboidea,刘正宇,181686,20071108,重庆市,350,江边荒地中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02226997.jpg,,,,,,,,,, +金莲花,Trollius chinensis,陈全胜,CF09-4152,20180630,内蒙古自治区,1159,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246809.jpg,,,,,,,,,, +金莲花,Trollius chinensis,236任务组,761,19720813,四川省,2500,伐地沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02086157.jpg,,,,,,,,,, +金莲花,Trollius chinensis,李才贵,75,19840625,山西省,2720,山顶灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081425.jpg,,,,,,,,,, +准噶尔金莲花,Trollius dschungaricus,崔大方,94017,19940627,新疆维吾尔自治区,1930,天山、山地草甸、阴坡、半阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962074.jpg,,,,,,,,,, +准噶尔金莲花,Trollius dschungaricus,,780532,19780608,,2500,混交林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957233.jpg,,,,,,,,,, +小花金莲花,Trollius micranthus,生态室高原组,10364,19800625,西藏自治区,3600,冷杉林间湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957332.jpg,,,,,,,,,, +小花金莲花,Trollius micranthus,Gaoligong Shan Biodiversity Survey,31242,20060819,云南省,3750,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01659232.jpg,,,,,,,,,, +德格金莲花,Trollius pumilus var. tehkehensis,杨永昌,1252,19650721,青海省,5200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/107872.jpg,,,,,,,,,, +,Trollius pumilus var. tehkehensis,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-132-B35,20190821,四川,3928,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273925.jpg,,,,,,,,,, +毛茛状金莲花,Trollius ranunculoides,PE西藏考察队,7112,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332944.jpg,,,,,,,,,, +毛茛状金莲花,Trollius ranunculoides,236任务组,780,19720814,四川省,3000,灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086155.jpg,,,,,,,,,, +毛茛状金莲花,Trollius ranunculoides,孙学刚等,6404,20060805,甘肃省,2850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962085.jpg,,,,,,,,,, +鞘柄金莲花,Trollius vaginatus,"杨亲二,袁琼",Yangqe1832,20080714,云南省,3300,林下草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032585.jpg,,,,,,,,,, +鞘柄金莲花,Trollius vaginatus,,人365,19810909,西藏自治区,5000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962075.jpg,,,,,,,,,, +鞘柄金莲花,Trollius vaginatus,G.Forrest,30014,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467277.jpg,,,,,,,,,, +覆裂云南金莲花,Trollius yunnanensis var. anemonifolius,鲁丽敏,2008364,20080729,四川省,2630,七品沟白桦林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962080.jpg,,,,,,,,,, +覆裂云南金莲花,Trollius yunnanensis var. anemonifolius,"李渤生,程树志",626,19820905,西藏自治区,3600~3900,冷杉林缘 灌丛 草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494179.jpg,,,,,,,,,, +长瓣云南金莲花,Trollius yunnanensis var. eupetalus,T.T.Yu,22472,19380825,云南省,3400,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467477.jpg,,,,,,,,,, +,Tropidia angulosa,Xiaohua Jin et Zhanghai Li,16614,20150819,云南省,1500~800,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233170.jpg,,,,,,,,,, +,Tropidia angulosa,HK kadoorie PT,747,20010500,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01989192.jpg,,,,,,,,,, +阔叶竹茎兰,Tropidia angulosa,C.W.Wang,80959,19350000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0657869.jpg,,,,,,,,,, +短穗竹茎兰,Tropidia curculigoides,"税玉民,陈文红,盛家舒",30104,20021002,云南省,,热带季节雨林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033200.jpg,,,,,,,,,, +短穗竹茎兰,Tropidia curculigoides,华南队,795,19890518,广西壮族自治区,600,山地,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989187.jpg,,,,,,,,,, +短穗竹茎兰,Tropidia curculigoides,孙洪范,s.n.,,,150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01729983.jpg,,,,,,,,,, +,Tsuga chinensis var. chinensis,"Wilson, Ernest Henry",2096,7-Jul-07,,,,,,https://image.cvh.ac.cn/files/l/E/E00215704.jpg,,,,,,,,,, +,Tsuga chinensis var. forrestii,罗袒筠,3461,19820807,贵州省,1420,疏林地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00207118.jpg,,,,,,,,,, +,Tsuga chinensis var. forrestii,Q.Wang et K.Yao,99103,19990700,四川省,2600,山谷林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00057909.jpg,,,,,,,,,, +,Tsuga chinensis var. forrestii,Q.Wang et K.Yao,99107,19990728,云南省,2800,山谷林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00057908.jpg,,,,,,,,,, +云南铁杉,Tsuga dumosa,青藏队植被组,2278,19740806,西藏自治区,3040,西南坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098417.jpg,,,,,,,,,, +云南铁杉,Tsuga dumosa,生态室,,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044030.jpg,,,,,,,,,, +云南铁杉,Tsuga dumosa,北京所横断山队,3726,19810825,云南省,3100~3800,云杉林中乔木,,有花无果,https://image.cvh.ac.cn/files/l/PE/02041670.jpg,,,,,,,,,, +,Tsuga oblongisquamata,"Q.Wang , K.Yao",99176,19990600,四川省,2400,山坡(近溪边)林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00982812.jpg,,,,,,,,,, +矩鳞铁杉,Tsuga oblongisquamata,陈心启,贺善安,应俊生,张敖罗,郑重,563,19820512,,1090,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00085985.jpg,,,,,,,,,, +毛蕊郁金香,Tulipa dasystemon,,7885,19740429,新疆维吾尔自治区,,山地东坡西坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00035336.jpg,,,,,,,,,, +毛蕊郁金香,Tulipa dasystemon,西植新疆队,2281,1978/8/4,新疆,3600,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0337419.jpg,,,,,,,,,, +多蕊木,Tupidanthus calyptratus,236-6队,1116,19740827,福建省,,山坡灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01584317.jpg,,,,,,,,,, +多蕊木,Tupidanthus calyptratus,青藏队,4327,19740818,西藏自治区,900,山坡阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01584314.jpg,,,,,,,,,, +多蕊木,Tupidanthus calyptratus,中国科学植物研究所昆明工作站,7275,19551110,云南省,1400~1600,山谷树上疏林中疏荫润湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/01584313.jpg,,,,,,,,,, +越南山香圆,Turpinia cochinchinensis,云南大学生物系60级,666,19600517,云南省,1000,公路,,无花无果,https://image.cvh.ac.cn/files/l/PE/02228199.jpg,,,,,,,,,, +越南山香圆,Turpinia cochinchinensis,管中天,8989,19520714,四川省,1500,山坡中部,,无花无果,https://image.cvh.ac.cn/files/l/PE/02228198.jpg,,,,,,,,,, +,Turpinia macrosperma,陈伟烈,10860,19800701,西藏自治区,1100,林间,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077615.jpg,,,,,,,,,, +大籽山香圆,Turpinia macrosperma,冯国楣,2428,19591112,云南省,1200,河边阔叶林中,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0198210.jpg,,,,,,,,,, +山麻风树,Turpinia pomifera var. minor,大瑶山综考队,10114,19810907,广西壮族自治区,980,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0432678.jpg,,,,,,,,,, +山麻风树,Turpinia pomifera var. minor,"武全安,张启泰",747,19820426,云南省,1030,沟谷农田边,,,https://image.cvh.ac.cn/files/l/KUN/1271966.jpg,,,,,,,,,, +大果山香圆,Turpinia pomifera var. pomifera,张建侯,13620,19770318,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/029709.jpg,,,,,,,,,, +大果山香圆,Turpinia pomifera var. pomifera,李永康,75175,19750509,贵州省,,林下,乔木,有花无果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0029093.jpg,,,,,,,,,, +款冬,Tussilago farfara,236四川任务组,35,19710713,四川省,1100,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02085867.jpg,,,,,,,,,, +款冬,Tussilago farfara,黄河队,7034,19560619,陕西省,,山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081401.jpg,,,,,,,,,, +款冬,Tussilago farfara,"李渤生,程树志",1866,19821120,西藏自治区,2800~3200,Tsugu林下常见草本,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067860.jpg,,,,,,,,,, +老虎须,Tylophora arenicola,侯宽昭,73955,19351024,海南省,500,空旷,,有花有果,https://image.cvh.ac.cn/files/l/PE/01060009.jpg,,,,,,,,,, +老虎须,Tylophora arenicola,E.H.Wilson,1190,19080000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00029532.jpg,,,,,,,,,, +通天连,Tylophora koi,华南队,857,19890526,广西壮族自治区,1000,山地,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009427.jpg,,,,,,,,,, +通天连,Tylophora koi,中国科学植物研究所昆明工作站,5890,19550914,云南省,1450,山谷疏林中斜坡湿润,,有花有果,https://image.cvh.ac.cn/files/l/PE/01060107.jpg,,,,,,,,,, +通天连,Tylophora koi,侯宽昭,73427,19350810,海南省,2500,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01060100.jpg,,,,,,,,,, +汶川娃儿藤,Tylophora nana,白龙江考察队,715,19980725,甘肃省,2110,山地 山坡 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01560443.jpg,,,,,,,,,, +汶川娃儿藤,Tylophora nana,K.T.Fu,2230,19371023,四川省,1600,on hill slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01060110.jpg,,,,,,,,,, +云南娃儿藤,Tylophora yunnanensis,Photos,RB303,20100718,云南省,2194,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01979084.jpg,,,,,,,,,, +云南娃儿藤,Tylophora yunnanensis,四川植物采集队,12739,19760629,四川省,2100,向阳草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132989.jpg,,,,,,,,,, +香蒲,Typha angustifolia,秦仁昌,1880,19560813,新疆维吾尔自治区,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308864.jpg,,,,,,,,,, +香蒲,Typha angustifolia,"藏东南考察队(金效华,刘冰,权旭等)",SET-ET612,20090823,西藏自治区,1978,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239067.jpg,,,,,,,,,, +香蒲,Typha angustifolia,马欣堂,4,19860824,北京市,,河边挺水,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239065.jpg,,,,,,,,,, +达香蒲,Typha davidiana,赴新疆队,3142,19780830,新疆维吾尔自治区,750,水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239031.jpg,,,,,,,,,, +达香蒲,Typha davidiana,药调队,1403,19830721,内蒙古自治区,,浅水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239030.jpg,,,,,,,,,, +达香蒲,Typha davidiana,孙学刚等,6372,20060807,甘肃省,1928,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239029.jpg,,,,,,,,,, +香蒲,Typha domingensis,北师大队,LW2015013,20150801,宁夏省,,路边灌丛,,,https://image.cvh.ac.cn/files/l/BNU/0019179.jpg,,,,,,,,,, +长苞香蒲,Typha domingensis,杨容,YR20160728-2,20160728,陕西省,,水边,,,https://image.cvh.ac.cn/files/l/BNU/0027079.jpg,,,,,,,,,, +长苞香蒲,Typha domingensis,刘家宜,88013,19880707,河北省,,,,无花有果,https://image.cvh.ac.cn/files/l/TIE/00038163.jpg,,,,,,,,,, +宽叶香蒲,Typha latifolia,"李安仁,朱家柟",10744,19590623,新疆维吾尔自治区,440,水沟中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239049.jpg,,,,,,,,,, +宽叶香蒲,Typha latifolia,"李渤生,倪志诚,程树志",3777,19830525,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239053.jpg,,,,,,,,,, +宽叶香蒲,Typha latifolia,东林植物调查4队,9540010,19950915,,,水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239050.jpg,,,,,,,,,, +无苞香蒲,Typha laxmannii,泛喜马拉雅植物志巴基斯坦采集队,FPH-1461,20120910,新疆维吾尔自治区,,湿地中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02005525.jpg,,,,,,,,,, +无苞香蒲,Typha laxmannii,东北队,110,19540816,黑龙江省,,平原 沼池,,无花有果,https://image.cvh.ac.cn/files/l/PE/01583046.jpg,,,,,,,,,, +无苞香蒲,Typha laxmannii,侯学煜,20146,19520620,河北省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01566038.jpg,,,,,,,,,, +小香蒲,Typha minima,"李安仁,朱家柟",5898,19580717,新疆维吾尔自治区,950,水渠旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239039.jpg,,,,,,,,,, +小香蒲,Typha minima,傅德志,724,19860800,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239037.jpg,,,,,,,,,, +香蒲,Typha orientalis,刘正宇,19938,19900706,重庆市,800,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239048.jpg,,,,,,,,,, +香蒲,Typha orientalis,"赵常明,葛结林,谭福",EX2261,20090729,湖北省,700,路边水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239047.jpg,,,,,,,,,, +犁头尖,Typhonium blumei,Linyang Chen etc.,KC-0313,20140712,云南省,888,"Croplands, grasslands, between rocks; below 1200m",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1259084.jpg,,,,,,,,,, +犁头尖,Typhonium blumei,中植联广西队,587,20080516,广西壮族自治区,750,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00223207.jpg,,,,,,,,,, +犁头尖,Typhonium blumei,平乐县普查队,450330180516076LY,20180516,广西,117,阔叶林,林下,黄棕壤,少野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00413577.jpg,,,,,,,,,, +昆明榆,Ulmus changii var. kunmingensis,K.M.Feng,10985,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00678041.jpg,,,,,,,,,, +昆明榆,Ulmus changii var. kunmingensis,李荫昆,P01136,19570507,广西壮族自治区,,"山坡,阴处,疏林中",,无花有果,https://image.cvh.ac.cn/files/l/PE/00678031.jpg,,,,,,,,,, +昆明榆,Ulmus changii var. kunmingensis,黔南队,750,19590410,贵州省,650,"山脊,山顶,阳处,梁脊",,无花有果,https://image.cvh.ac.cn/files/l/PE/00678028.jpg,,,,,,,,,, +,Ulmus davidiana var. japonica,,5,,辽宁省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01578381.jpg,,,,,,,,,, +,Ulmus davidiana var. japonica,,14,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01578371.jpg,,,,,,,,,, +,Ulmus davidiana var. japonica,Miyoshi Furuse,50199,19710609,,1200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01042486.jpg,,,,,,,,,, +,Ulmus glaucescens var. lasiocarpa,李勋唐,114,19390000,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00678395.jpg,,,,,,,,,, +,Ulmus glaucescens var. lasiocarpa,傅坤俊,8068,19540508,陕西省,1000,山地山谷路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/00678393.jpg,,,,,,,,,, +,Ulmus glaucescens var. lasiocarpa,黄河队,7968,19560912,宁夏回族自治区,1610,"山坡,山谷",,无花无果,https://image.cvh.ac.cn/files/l/PE/00678394.jpg,,,,,,,,,, +昆明榆,Ulmus kunmingensis,赵子孝,1516,19420320,云南省,,石灰岩山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934301.jpg,,,,,,,,,, +昆明榆,Ulmus kunmingensis,赵良能,2061,19640420,四川省,1700,乔木.灌木.草本或藤本,,有花无果,https://image.cvh.ac.cn/files/l/KUN/603484.jpg,,,,,,,,,, +欧洲白榆,Ulmus laevis,董保华,110,19630405,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839284.jpg,,,,,,,,,, +欧洲白榆,Ulmus laevis,,s.n.,19590000,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01807097.jpg,,,,,,,,,, +欧洲白榆,Ulmus laevis,"李安仁,朱家楠",10434,19590522,新疆维吾尔自治区,670,路旁栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/00934214.jpg,,,,,,,,,, +大果榆,Ulmus macrocarpa,南水北调队 姜恕,24,19630609,内蒙古自治区,550,根河河漫滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109175.jpg,,,,,,,,,, +大果榆,Ulmus macrocarpa,L.Chanet et J.H.Serre,A86,19220710,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01942311.jpg,,,,,,,,,, +大果榆,Ulmus macrocarpa,白水江采集队,3547,20070425,甘肃省,821,山谷杂木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01812696.jpg,,,,,,,,,, +小果榆,Ulmus microcarpa,青藏队,73-1006,19730807,西藏自治区,2800,山坡针阔混交林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00023059.jpg,,,,,,,,,, +小果榆,Ulmus microcarpa,王斌、李超、王兴旭,LSJL-0001,20210711,云南,2339.294,阔叶林,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1498274.jpg,,,,,,,,,, +倒挂金钩,Uncaria lancifolia,北京队,895356,19890531,广西壮族自治区,400,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02012000.jpg,,,,,,,,,, +倒挂金钩,Uncaria lancifolia,"钟补勤,匡可任",388,19430521,云南省,1400,山谷 林地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00839819.jpg,,,,,,,,,, +攀枝钩藤,Uncaria scandens,广西队,42,19530500,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016009.jpg,,,,,,,,,, +攀枝钩藤,Uncaria scandens,780工程,1044,19781214,云南省,1100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01804147.jpg,,,,,,,,,, +攀枝钩藤,Uncaria scandens,236-6队,3677,19801207,广东省,120,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01775851.jpg,,,,,,,,,, +华钩藤,Uncaria sinensis,白水江采集队,2639,20060826,甘肃省,1100~820,山坡林下石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862731.jpg,,,,,,,,,, +华钩藤,Uncaria sinensis,于际银,5-058,20030810,贵州省,1300,下部山坡灌丛阴湿处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01590829.jpg,,,,,,,,,, +华钩藤,Uncaria sinensis,段林东,5007,20040611,湖南省,550,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01590826.jpg,,,,,,,,,, +狸尾豆属,Uraria lacei,C.W.Wang,79502,19361000,云南省,800,river side,,无花有果,https://image.cvh.ac.cn/files/l/PE/00412971.jpg,,,,,,,,,, +狸尾豆属,Uraria lacei,北京青年队,801,19860815,广西壮族自治区,270,乌鸦山坡沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00318944.jpg,,,,,,,,,, +美花狸尾豆,Uraria picta,广西队,3737,19530909,广西壮族自治区,,山斜坡,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01996934.jpg,,,,,,,,,, +美花狸尾豆,Uraria picta,李渤生等,13251,19900830,西藏自治区,2000,吉隆河岸边丛林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805006.jpg,,,,,,,,,, +美花狸尾豆,Uraria picta,"张寿洲,李良千等",1674,20050519,广东省,50,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01587680.jpg,,,,,,,,,, +,Uraria rufescens,"H.Ohashi,C.J.Chen等",8127,,海南省,120,On rather wet clayey slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/01879546.jpg,,,,,,,,,, +,Uraria rufescens,C.W.Wang,79248,19361000,云南省,1000,woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00412975.jpg,,,,,,,,,, +,Uraria sinensis,攀枝花苏铁考察队,459,20100913,四川省,2089,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879905.jpg,,,,,,,,,, +,Uraria sinensis,青藏队,14932,19831003,云南省,2200,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01162271.jpg,,,,,,,,,, +线叶水壶藤,Urceola linearicarpa,毛品一,2909,1953/8/15,云南省,1020,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0275073.jpg,,,,,,,,,, +杜仲藤,Urceola micrantha,罗献瑞,11,19630920,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0480792.jpg,,,,,,,,,, +杜仲藤,Urceola micrantha,张海道,1233,19570518,海南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0480843.jpg,,,,,,,,,, +杜仲藤,Urceola micrantha,W.T.Tsang,22625,19330703,广西壮族自治区,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0480880.jpg,,,,,,,,,, +地桃花,Urena lobata,张彩飞,2583,20101117,广东省,100,Roadside,,无花有果,https://image.cvh.ac.cn/files/l/PE/02247713.jpg,,,,,,,,,, +地桃花,Urena lobata,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T304,20160919,西藏自治区,786,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233386.jpg,,,,,,,,,, +地桃花,Urena lobata,"刘金鉴,田景全",234,19631014,四川省,800,山谷路旁灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092536.jpg,,,,,,,,,, +尾稃草,Urochloa reptans,耿以礼,3024,19450324,重庆市,200,石灰性 冲积土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01600279.jpg,,,,,,,,,, +尾稃草,Urochloa reptans,,11655,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00719518.jpg,,,,,,,,,, +尾稃草,Urochloa reptans,中苏云南联合考察团,2634,19560525,云南省,,阴处路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00719517.jpg,,,,,,,,,, +喜马拉雅荨麻,Urtica ardens,D.E.Boufford et al.,29862,20000801,西藏自治区,2550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522864.jpg,,,,,,,,,, +须弥荨麻,Urtica ardens,"刘基男,朱明远,李一凡",GLGE152137,20151127,云南省,2133,林下阴湿处,,,https://image.cvh.ac.cn/files/l/KUN/1277486.jpg,,,,,,,,,, +小果荨麻,Urtica atrichocaulis,"刘杰,刘涛",liuj-10604,20100923,云南省,1840,田边水沟旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062490.jpg,,,,,,,,,, +小果荨麻,Urtica atrichocaulis,"简焯坡,马成功等",50358,19650524,贵州省,1320,沟边,灌丛中阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050895.jpg,,,,,,,,,, +麻叶荨麻,Urtica cannabina,关克俭,1219,19570706,新疆维吾尔自治区,,潮湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090594.jpg,,,,,,,,,, +麻叶荨麻,Urtica cannabina,科学院黄河队甘一队,2729,19560928,甘肃省,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02082043.jpg,,,,,,,,,, +,Urtica dioica subsp. dioica,"刘成, 蔡杰, 张挺, 亚吉东, 杨湘云, 李德铢, 杨永平, 杨梅",18CS17432,20180909,西藏,4272,江孜沙棘林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487486.jpg,,,,,,,,,, +甘肃荨麻,Urtica dioica subsp. gansuensis,F.T.Wang,21118,19300602,四川省,2500,road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/00575051.jpg,,,,,,,,,, +甘肃荨麻,Urtica dioica subsp. gansuensis,W.Y.Hsia,6507,19390908,甘肃省,2200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00023983.jpg,,,,,,,,,, +荨麻,Urtica fissa,吴增源,WuZY-09432,20090818,广西壮族自治区,821,芭蕉树杂草丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/02062348.jpg,,,,,,,,,, +荨麻,Urtica fissa,罗林波,433,19941112,湖南省,300,坡地林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901458.jpg,,,,,,,,,, +荨麻,Urtica fissa,赵佐成,2245,19931004,四川省,1700,林中沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847195.jpg,,,,,,,,,, +高原荨麻,Urtica hyperborea,Zhang Shudong,81200,20080918,西藏自治区,4647,沙坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062536.jpg,,,,,,,,,, +高原荨麻,Urtica hyperborea,陈伟烈等,7110,19840701,四川省,4100,沟谷阳处草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804691.jpg,,,,,,,,,, +,Urtica kunlunshanica,,62,19710721,新疆维吾尔自治区,3600,草原河谷侧坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00935039.jpg,,,,,,,,,, +,Urtica laetevirens subsp. cyanescen,牡丹江队,940,19590000,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01847049.jpg,,,,,,,,,, +乌苏里荨麻,Urtica laetevirens subsp. cyanescen,延边二组,958,19590918,吉林省,,阴坡针阔混交林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00575052.jpg,,,,,,,,,, +宽叶荨麻(原亚种),Urtica laetevirens subsp. laetevirens,峨眉队,4752,19780609,四川省,1300,沟边灌丛中,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM702301292.jpg,,,,,,,,,, +齿叶荨麻,Urtica laetevirens subsp. laetevirens,张代贵等,zdg6967,20110922,湖北省,,山谷溪边,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU32710.jpg,,,,,,,,,, +宽叶荨麻,Urtica laetevirens subsp. laetevirens,方震东,K-1517,20020927,云南,3400,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG008774.jpg,,,,,,,,,, +滇藏荨麻,Urtica mairei,D.E.Boufford et al.,43549,20130914,云南省,2390~2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062461.jpg,,,,,,,,,, +滇藏荨麻,Urtica mairei,华南队,1797,19890926,广西壮族自治区,1300,山地山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01314873.jpg,,,,,,,,,, +滇藏荨麻,Urtica mairei,赵佐成,4535,19870000,四川省,2100,林下阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01314871.jpg,,,,,,,,,, +膜叶荨麻,Urtica membranifolia,青藏补点组,750179,19750603,西藏自治区,2750,林内,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00509583.jpg,,,,,,,,,, +膜叶荨麻,Urtica membranifolia,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201481,20200804,西藏,2599,溪边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509388.jpg,,,,,,,,,, +三角叶荨麻,Urtica triangularis subsp. triangularis,"陈伟烈,陈家瑞,郭柯等",6306,19840615,四川省,3200,河谷流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044887.jpg,,,,,,,,,, +,Urtica triangularis subsp. triangularis,赵建立,WZY10047,20110611,西藏自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261485.jpg,,,,,,,,,, +三角叶荨麻,Urtica triangularis subsp. triangularis,王启无,69228,19350900,云南省,3400,grassy slope,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0167298.jpg,,,,,,,,,, +毛果荨麻,Urtica triangularis subsp. trichocarpa,易思荣等,366,20050710,重庆市,1400,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846602.jpg,,,,,,,,,, +毛果荨麻,Urtica triangularis subsp. trichocarpa,孙学刚等,6531,20060810,甘肃省,2790,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846601.jpg,,,,,,,,,, +毛果荨麻,Urtica triangularis subsp. trichocarpa,陈伟烈等,7720,19840714,四川省,3750,河谷干旱灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804696.jpg,,,,,,,,,, +欧荨麻,Urtica urens,青藏队,74-2424,19740913,西藏自治区,2900,路边草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00509709.jpg,,,,,,,,,, +欧荨麻,Urtica urens,H.Trzcinska Tacik,,20081010,,,ruderal place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900140.jpg,,,,,,,,,, +黄花狸藻,Utricularia aurea,刁正俗,1695,,海南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110298.jpg,,,,,,,,,, +黄花狸藻,Utricularia aurea,朱列,675,20030903,浙江省,,山脚池塘内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110266.jpg,,,,,,,,,, +黄花狸藻,Utricularia aurea,Miyoshi Furuse,31897,19561016,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110264.jpg,,,,,,,,,, +南方狸藻,Utricularia australis,汤宗孝,1740,19830816,四川省,3400,沼泽草地 水函中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110272.jpg,,,,,,,,,, +南方狸藻,Utricularia australis,R.Wallengren,s.n.,18870700,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916844.jpg,,,,,,,,,, +南方狸藻,Utricularia australis,三峡考察队,2332,20080723,重庆市,740~770,稻田,,无花无果,https://image.cvh.ac.cn/files/l/PE/01861869.jpg,,,,,,,,,, +,Utricularia brachiata,陈艺林,21,19770828,四川省,2500,岩石上阴凉处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110293.jpg,,,,,,,,,, +,Utricularia brachiata,T.T.Yu,22216,19380806,云南省,3500,Mt.rocky place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01543042.jpg,,,,,,,,,, +,Utricularia brachiata,T.T.Yu,20255,19380914,,3300,margin of thickets shady & Moist place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01543040.jpg,,,,,,,,,, +,Utricularia gibba,李振宇,10981,19840706,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01543084.jpg,,,,,,,,,, +,Utricularia gibba,"黄成就,张永田",39,19731114,广东省,,水塘中,漂浮水面,,有花无果,https://image.cvh.ac.cn/files/l/PE/01543082.jpg,,,,,,,,,, +,Utricularia gibba,Shiu Ying Hu,9474,19700210,香港,,On wet rock,,无花无果,https://image.cvh.ac.cn/files/l/PE/01543083.jpg,,,,,,,,,, +禾叶挖耳草,Utricularia graminifolia,"张寿洲,李良千等人",2898,20050716,广东省,100~200,水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110269.jpg,,,,,,,,,, +禾叶挖耳草,Utricularia graminifolia,"朱维明,和兆荣",29039,19950819,云南省,2250,山坡石灰岩,红壤,,无花无果,https://image.cvh.ac.cn/files/l/PE/01543185.jpg,,,,,,,,,, +禾叶挖耳草,Utricularia graminifolia,叶国栋,1992,19810312,福建省,,水沟边流水石壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01543089.jpg,,,,,,,,,, +怒江挖耳草,Utricularia salwinensis,"Jin Xh,Wang LS,Wang Q et al.",ST2036,20130804,云南省,3400~3800,apline meadow,,无花有果,https://image.cvh.ac.cn/files/l/PE/02002350.jpg,,,,,,,,,, +怒江挖耳草,Utricularia salwinensis,熊济华,张秀实,蒋兴麐,31749,19520723,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00130969.jpg,,,,,,,,,, +尖萼挖耳草,Utricularia scandens,G.Forrest,8051,19120600,云南省,2000~2166,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01543163.jpg,,,,,,,,,, +尖萼挖耳草,Utricularia scandens,"张志松,张永田",8541,19600826,贵州省,1300,山坡密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01543161.jpg,,,,,,,,,, +,Utricularia stellaris,"李渤生,程树志",873,19820912,西藏自治区,2000,水中优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080976.jpg,,,,,,,,,, +星鳞狸藻,Utricularia stellaris,,A88-289,88.08.15,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00019907.jpg,,,,,,,,,, +圆叶挖耳草,Utricularia striatula,"简焯坡,应俊生,马成功等",400483,19640717,福建省,800,湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110297.jpg,,,,,,,,,, +圆叶挖耳草,Utricularia striatula,陈家瑞(C.J.Chen),86364,19890903,湖南省,,林缘湿处苔藓上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110296.jpg,,,,,,,,,, +狸藻,Utricularia vulgaris,青藏队,1603,19870908,西藏自治区,4350,沼泽,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110290.jpg,,,,,,,,,, +狸藻,Utricularia vulgaris,Anonymous,s.n.,19210731,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054241.jpg,,,,,,,,,, +狸藻,Utricularia vulgaris,柴达木盆地调查队,115,19550713,青海省,,浅水,,无花无果,https://image.cvh.ac.cn/files/l/PE/01543270.jpg,,,,,,,,,, +,Vaccaria hispanica,冯建菊,LiuJQ-fjj-0029,20100826,新疆,2875,农田边,麦田,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1240095.jpg,,,,,,,,,, +麦蓝菜,Vaccaria hispanica,黄河队,6719,1955/6/15,陕西省 ,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0095866.jpg,,,,,,,,,, +麦蓝菜,Vaccaria hispanica,郭本兆,3287,1956/7/29,甘肃省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0075982.jpg,,,,,,,,,, +草莓树状越橘,Vaccinium arbutoide,T.T.Yu,20963,19381104,云南省 ,2500,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00137897.jpg,,,,,,,,,, +短序越桔,Vaccinium brachybotrys,"尹志坚,董洪进",231,20090301,云南省,1700~2300,Roadisides forest margins,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026092.jpg,,,,,,,,,, +短序越桔,Vaccinium brachybotrys,"Husato Ogawa, Kyoji Yoda",212-40,19580212,,1000~800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00255114.jpg,,,,,,,,,, +团叶越桔,Vaccinium chaetothrix,青藏队,74-3847,19740731,西藏自治区,3200,山坡冷杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01908937.jpg,,,,,,,,,, +团叶越桔,Vaccinium chaetothrix,邱炳云,53831,19561119,云南省,3100,干燥的山坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00196549.jpg,,,,,,,,,, +苍山越桔,Vaccinium delavayi,"刘恩德,方伟,徐洲锋等",3617,20120324,云南省,2740,in thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/02005353.jpg,,,,,,,,,, +苍山越桔,Vaccinium delavayi,青藏队,11830,19830707,四川省,2800~3200,杜鹃,高山栎灌丛下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01908355.jpg,,,,,,,,,, +树生越桔,Vaccinium dendrocharis,青藏队,6445,19820511,云南省,3300,山坡Abies,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908738.jpg,,,,,,,,,, +树生越桔,Vaccinium dendrocharis,青藏队,1009,19740913,西藏自治区,2600,石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01793552.jpg,,,,,,,,,, +,Vaccinium duclouxii var. duclouxii,"周应再, 郭永杰",TCYJ01,20171025,云南,1840,中山湿性常绿阔叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1450860.jpg,,,,,,,,,, +云南越桔,Vaccinium duclouxii var. duclouxii,岳邦涛,45,19820616,云南省,0,山谷,,有果无花,https://image.cvh.ac.cn/files/l/KUN/332775.jpg,,,,,,,,,, +柔毛云南越桔,Vaccinium duclouxii var. pubipes,G.Forrest,29831,,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01856141.jpg,,,,,,,,,, +柔毛云南越桔,Vaccinium duclouxii var. pubipes,H.T.Tsai,55422,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01856140.jpg,,,,,,,,,, +,Vaccinium dunalianum var. dunalianum,周应再,TCYJ02,20171114,云南,2407,中山湿性常绿阔叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1447223.jpg,,,,,,,,,, +,Vaccinium dunalianum var. dunalianum,赵平,12-Jan,20120428,云南省,2100,in thickets,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1223597.jpg,,,,,,,,,, +樟叶越桔,Vaccinium dunalianum var. dunalianum,张志松,张永田,4455,19600614,贵州省,400,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00062403.jpg,,,,,,,,,, +,Vaccinium fragile var. fragile,"郭永杰, 陈凤芹, 禹建明, 李昌洪",17CS14838,20171018,云南,2390,针阔混交林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1449150.jpg,,,,,,,,,, +乌鸦果(原变种),Vaccinium fragile var. fragile,C.W.Wang,69335,19360900,云南省 ,3000,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00100280.jpg,,,,,,,,,, +乌鸦果(原变种),Vaccinium fragile var. fragile,王启无,67894,19350700,云南省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00136818.jpg,,,,,,,,,, +,Vaccinium fragile var. mekongense,G.Forrest,30688,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855818.jpg,,,,,,,,,, +,Vaccinium fragile var. mekongense,A. Henry,10904,,云南省,1850,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00197971.jpg,,,,,,,,,, +大叶乌鸦果,Vaccinium fragile var. mekongense,T.N.Liou,21096,19461004,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0456342.jpg,,,,,,,,,, +粉花软骨边越桔,Vaccinium gaultheriifolium,青藏队,74-4070,19740805,西藏自治区,2080,山坡阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908497.jpg,,,,,,,,,, +软骨边越桔,Vaccinium gaultheriifolium,青藏队,8832,19820728,云南省,,山坡常绿阔叶林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856133.jpg,,,,,,,,,, +软骨边越桔,Vaccinium gaultheriifolium,M.Suzuki et al.,9240316,19920525,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01523828.jpg,,,,,,,,,, +粉白越桔,Vaccinium glaucoalbum,高连明,GLM-081862,20080923,西藏自治区,2630,原始森林、针阔叶混交林,,,https://image.cvh.ac.cn/files/l/KUN/1273256.jpg,,,,,,,,,, +粉白越桔,Vaccinium glaucoalbum,高连明,GLM-07454,20070503,云南省,1960,"in mixed forest, in valley",,,https://image.cvh.ac.cn/files/l/KUN/1272861.jpg,,,,,,,,,, +粉白越橘,Vaccinium glaucoalbum,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,957,20121018,西藏,,灌丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/BJM/0230311.jpg,,,,,,,,,, +黄背越桔,Vaccinium iteophyllum var. iteophyllum,李振基等,AU02985,20180615,福建,242,路边,,无花有果,https://image.cvh.ac.cn/files/l/AU/AU084389.jpg,,,,,,,,,, +纸叶越桔,Vaccinium kingdon-wardii,"李渤生,程树志",1038,19820923,西藏自治区,2200,林缘时见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055054.jpg,,,,,,,,,, +纸叶越桔,Vaccinium kingdon-wardii,"刘成, 张挺, 张书东",13CS6503,20130531,西藏,,路边灌丛,附生植物,无花有果,https://image.cvh.ac.cn/files/l/KUN/1338837.jpg,,,,,,,,,, +羽毛越桔,Vaccinium lanigerum,采集人不详,24200,19591112,云南省,,河边阔叶林中和树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00197707.jpg,,,,,,,,,, +羽毛越橘,Vaccinium lanigerum,C.W.Wang,65593,19350800,四川省,3400,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00126310.jpg,,,,,,,,,, +白果越桔,Vaccinium leucobotrys,青藏队,7050,19820607,云南省,1700,山坡常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02054811.jpg,,,,,,,,,, +白果越桔,Vaccinium leucobotrys,陈伟烈,14547,19800901,西藏自治区,2100,附生,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054803.jpg,,,,,,,,,, +江南越桔,Vaccinium mandarinorum,"朱大海,王炳锋,王永等",621,20020629,四川省,790,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114908.jpg,,,,,,,,,, +江南越桔,Vaccinium mandarinorum,"Li Heng,Yang Shixiong,Lei Ligong etc.",1353,20020413,云南省,2570,次生松栎林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091337.jpg,,,,,,,,,, +江南越桔,Vaccinium mandarinorum,"简焯坡,应俊生,马成功等",31407,19630821,贵州省,910,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02055580.jpg,,,,,,,,,, +大苞越桔,Vaccinium modestum,青藏队,8450,19820722,云南省,3000,Abies林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02055504.jpg,,,,,,,,,, +大苞越桔,Vaccinium modestum,青藏队,10198,19820908,西藏自治区,3900,山坡灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02055503.jpg,,,,,,,,,, +抱石越桔,Vaccinium nummularia,PE西藏队,PE6410,20170911,西藏自治区,2969,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333425.jpg,,,,,,,,,, +抱石越桔,Vaccinium nummularia,236 四川任务组,543,19710730,四川省,2100,林中树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01533155.jpg,,,,,,,,,, +抱石越桔,Vaccinium nummularia,汤宗孝,163,19810601,云南省,2250,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00869490.jpg,,,,,,,,,, +毛萼越桔,Vaccinium pubicalyx,青藏队,113,19810526,云南省,,以壳斗科为主的常绿阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055185.jpg,,,,,,,,,, +毛萼越桔,Vaccinium pubicalyx,青藏队,11772,19830706,四川省,2300,山坡常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055182.jpg,,,,,,,,,, +西藏越桔,Vaccinium retusum,,335,19510618,西藏自治区,2710,大岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01856296.jpg,,,,,,,,,, +西藏越桔,Vaccinium retusum,S.Noshiro et al.,9240780,19920613,,2400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01523827.jpg,,,,,,,,,, +,Vaccinium scalarinervium,高信芬、涂卫国、何海、乔永康,7772,20030923,西藏自治区,1300,路边,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190616.jpg,,,,,,,,,, +荚 叶越桔,Vaccinium sikkimense,青藏队,8468,19820724,云南省,3600,山坡荫处草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02055200.jpg,,,,,,,,,, +荚 叶越桔,Vaccinium sikkimense,青藏队,10365,19820909,西藏自治区,4100,山坡灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02055199.jpg,,,,,,,,,, +小尖叶越桔,Vaccinium spiculatum,"李渤生,程树志",4225,19830422,西藏自治区,1500~2000,常绿阔叶林树上常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909559.jpg,,,,,,,,,, +小尖叶越桔,Vaccinium spiculatum,"Tang, Wai-Tak",17429,19280613,海南省,680,生干燥林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00438481.jpg,,,,,,,,,, +小尖叶越桔,Vaccinium spiculatum,"刘成, 亚吉东",18CS17299,20181127,西藏,1705,附生于树上,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487438.jpg,,,,,,,,,, +梯脉越桔,Vaccinium subdissitifolium,青藏队,74-4130,19740806,西藏自治区,1800,山坡阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909563.jpg,,,,,,,,,, +梯脉越桔,Vaccinium subdissitifolium,"刘成, 亚吉东",18CS17147,20181201,西藏,1351,林缘湖边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487281.jpg,,,,,,,,,, +髯毛缬草,Valeriana barbulata,杨竞生,91-544,19910706,西藏自治区,4050,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232648.jpg,,,,,,,,,, +髯毛缬草,Valeriana barbulata,G.Forrest,25024,19240000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670310.jpg,,,,,,,,,, +髯毛缬草,Valeriana barbulata,刘尚武,65,19650620,青海省,4500,山坡 石堆中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495999.jpg,,,,,,,,,, +瑞香缬草,Valeriana daphniflora,T.T.Yu,14174,19370905,四川省,2900,margin of thickets,,有花有果,https://image.cvh.ac.cn/files/l/PE/01018001.jpg,,,,,,,,,, +瑞香缬草,Valeriana daphniflora,"张永田,郞楷永",1347,19650807,西藏自治区,3450,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01018002.jpg,,,,,,,,,, +瑞香缬草,Valeriana daphniflora,,2481,19260908,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00999999.jpg,,,,,,,,,, +新疆缬草,Valeriana fedtschenkoi,,770038,19770622,新疆维吾尔自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670327.jpg,,,,,,,,,, +新疆缬草,Valeriana fedtschenkoi,,5240,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468645.jpg,,,,,,,,,, +柔垂缬草,Valeriana flaccidissima,PE西藏队,PE6389,20170911,西藏自治区,3120,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332856.jpg,,,,,,,,,, +柔垂缬草,Valeriana flaccidissima,"Q.Wang,K.Yao",99130,19990600,四川省,2300,山坡沟边草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115436.jpg,,,,,,,,,, +柔垂缬草,Valeriana flaccidissima,Taku Miyazaki,704287,20070429,,240~260,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054395.jpg,,,,,,,,,, +,Valeriana flagellifera,Harry Smith,12088,19340912,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670335.jpg,,,,,,,,,, +,Valeriana flagellifera,关克俭,77290,19770804,青海省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01018122.jpg,,,,,,,,,, +,Valeriana flagellifera,N.M.Przewalski,334,18800609,甘肃省,3833,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032002.jpg,,,,,,,,,, +长序缬草,Valeriana hardwickii,PE西藏队,PE6075,20170906,西藏自治区,2935,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332674.jpg,,,,,,,,,, +长序缬草,Valeriana hardwickii,刘正宇,181353,20070928,重庆市,1200,山地林缘草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244388.jpg,,,,,,,,,, +长序缬草,Valeriana hardwickii,黔南队,982,19590430,贵州省,,山脚岩石上水旁疏林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232450.jpg,,,,,,,,,, +横断山缬草,Valeriana hengduanensis,T.T.Yu,22485,19380825,云南省,3400,Under mixed forests,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/01670352.jpg,,,,,,,,,, +横断山缬草,Valeriana hengduanensis,T.T.Yu,7106,19370715,四川省,3150,side of mt stream,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/01670350.jpg,,,,,,,,,, +,Valeriana hiemalis,"郎楷永,李良千,费勇",2198,19830705,四川省,3750,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173586.jpg,,,,,,,,,, +全缘叶缬草,Valeriana hiemalis,北师大秦岭队,TB359,20130726,陕西省,3400,山坡林下,草,,https://image.cvh.ac.cn/files/l/BNU/0014744.jpg,,,,,,,,,, +,Valeriana hiemalis,吴中伦,32666,19580703,四川,3700,高山林地,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00038073.jpg,,,,,,,,,, +毛果缬草,Valeriana hirticalyx,陶德定,11136,19760901,西藏自治区,4100~4300,山谷半阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01018382.jpg,,,,,,,,,, +毛果缬草,Valeriana hirticalyx,杨金祥,2234,1963/8/14,西藏,4750,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0215748.jpg,,,,,,,,,, +毛果缬草,Valeriana hirticalyx,杨永昌,1259,19650721,青海省,4900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/12866.jpg,,,,,,,,,, +蜘蛛香,Valeriana jatamansi,邱炳云,57095,19580709,云南省,2200,石灰岩草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240601.jpg,,,,,,,,,, +蜘蛛香,Valeriana jatamansi,植物所三峡考察队,818,20080427,重庆市,1143~981,峡谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232657.jpg,,,,,,,,,, +蜘蛛香,Valeriana jatamansi,梵净山队,48,19630617,贵州省,1280,山坡路旁田边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232655.jpg,,,,,,,,,, +细花缬草,Valeriana meonantha,吴玉虎,32020,20040806,甘肃省,3310,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0207056.jpg,,,,,,,,,, +细花缬草,Valeriana meonantha,秦志业,1388,19620703,青海省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0216082.jpg,,,,,,,,,, +小花缬草,Valeriana minutiflora,"杨红梅,郎校安,邵毅贞等",1414,20140420,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014485.jpg,,,,,,,,,, +小花缬草,Valeriana minutiflora,罗建等,Luojian-XZ-0938,20091012,西藏自治区,3385,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916910.jpg,,,,,,,,,, +缬草,Valeriana officinalis,陈全胜,CF-0001-002,20170820,内蒙古自治区,954,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247165.jpg,,,,,,,,,, +缬草,Valeriana officinalis,T.T.Yu,6542,19370621,云南省,3650,under woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232544.jpg,,,,,,,,,, +缬草,Valeriana officinalis,毕节队,351,19590724,贵州省,1600,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232545.jpg,,,,,,,,,, +,Valeriana sichuanica,D.E.Boufford et al.,36803,20060818,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689104.jpg,,,,,,,,,, +川缬草,Valeriana sichuanica,gorz,19471,19140700,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/273155166.jpg,,,,,,,,,, +窄裂缬草,Valeriana stenoptera,"Jin XH,Wang LS,Wang Q,Wei R etc.",ST2835,20130810,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232658.jpg,,,,,,,,,, +窄裂缬草,Valeriana stenoptera,"张力,万涛,王晖等",270,20130419,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994042.jpg,,,,,,,,,, +窄裂缬草,Valeriana stenoptera,69111队,8,19690709,吉林省,,荒山坡荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670393.jpg,,,,,,,,,, +小缬草,Valeriana tangutica,宁夏药检所,73-0012,19730602,宁夏回族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232645.jpg,,,,,,,,,, +小缬草,Valeriana tangutica,吴玉虎等,4933,19900727,青海省,3450~3800,林缘干旱草坡 林窗草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02232646.jpg,,,,,,,,,, +大纽子花,Vallaris indecora,尹志坚等,3018,20100623,云南省,1400,Riversides,in disturbed forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005719.jpg,,,,,,,,,, +大纽子花,Vallaris indecora,,s.n.,19550600,,,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00999304.jpg,,,,,,,,,, +大纽子花,Vallaris indecora,"张志松,张永田",4353,19600612,贵州省,1100,山坡密林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00999305.jpg,,,,,,,,,, +,Vallisneria natans,"陈耀东,郎青",742,19840913,江西省,,水深1m,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780293.jpg,,,,,,,,,, +,Vallisneria natans,T.Tang & W.Y.Hsia ,510,19270713,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01483448.jpg,,,,,,,,,, +,Vallisneria natans,,3686,19100909,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01483449.jpg,,,,,,,,,, +琴唇万带兰,Vanda concolor,HK kadoorie PT,,20010529,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01989185.jpg,,,,,,,,,, +琴唇万带兰,Vanda concolor,"李渤生,程树志",3828,19830327,西藏自治区,800,半常绿雨林对上时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01446212.jpg,,,,,,,,,, +琴唇万带兰,Vanda concolor,Tsang Wai Tak L.u.,17350,19280530,海南省,2800,growing on mid hill,,无花无果,https://image.cvh.ac.cn/files/l/PE/00805300.jpg,,,,,,,,,, +,Vanda cristata,Do.Phibp. et al.,562,19980502,云南省,146~1465,岩石上近山顶灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01681714.jpg,,,,,,,,,, +叉唇万代兰,Vanda cristata,,3343,19900819,西藏自治区,1150,山坡林中 附生蕈树上,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00007049.jpg,,,,,,,,,, +,Vandopsis undulata,Do.Phibp. et al.,555,19980430,云南省,1870,观喜坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01644311.jpg,,,,,,,,,, +白花拟万代兰,Vandopsis undulata,M.K.Li,3506,19400504,云南省 ,0~1600,,Herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0657984.jpg,,,,,,,,,, +黄秦艽,Veratrilla baillonii,汤宗孝 田效文 孙庆国,258,19820709,四川省,4050,高山灌丛草场山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02105693.jpg,,,,,,,,,, +黄秦艽,Veratrilla baillonii,,285,19590614,,4000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02105689.jpg,,,,,,,,,, +毛叶藜芦,Veratrum grandiflorum,巴山采集队,1849,20080719,陕西省,2300,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860840.jpg,,,,,,,,,, +毛叶藜芦,Veratrum grandiflorum,巴山采集队,2466,20080728,重庆市,2457,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860841.jpg,,,,,,,,,, +毛叶藜芦,Veratrum grandiflorum,F.Konta E.Miki and K.Murata,1342,19770710,,1450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01714047.jpg,,,,,,,,,, +蒙自藜芦,Veratrum mengtzeanum,K.M.Feng,2040,19390816,云南省,,松坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00593467.jpg,,,,,,,,,, +蒙自藜芦,Veratrum mengtzeanum,E.H.Wilson,4672,19370400,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0646029.jpg,,,,,,,,,, +藜芦,Veratrum nigrum,"赤峰采集队(翟秀丽,刘冰,杨福龙等)",2-041,20080724,内蒙古自治区,1223,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067168.jpg,,,,,,,,,, +藜芦,Veratrum nigrum,段长虹,Dch0461,20140728,山西省,1969,谷地溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02041007.jpg,,,,,,,,,, +大理藜芦,Veratrum taliense,金效华,YN-ET 1633,20090717,云南省,3100,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939833.jpg,,,,,,,,,, +大理藜芦,Veratrum taliense,梁永福等,84-30,19840804,四川省,2800,阴湿林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00593841.jpg,,,,,,,,,, +马鞭草,Verbena officinalis,South Tibet Exp.Team (Jin Xiaohua etc.),STET0447,20100715,西藏自治区,2200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02328493.jpg,,,,,,,,,, +马鞭草,Verbena officinalis,"刘正宇,张军等",RQHZ06479,20140928,重庆市,237,草丛黄壤荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244515.jpg,,,,,,,,,, +马鞭草,Verbena officinalis,青藏队区系组,7902,19820704,云南省,1650,山坡常绿阔叶林缘草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244385.jpg,,,,,,,,,, +,Vernicia fordii,Shui Yumin et al.,11829,19991007,云南省,1300,land for Amomum tsao-ko,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239745.jpg,,,,,,,,,, +,Vernicia fordii,"马丹丹,寿海洋",ZJFC562,20070707,浙江省,460,山沟林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239744.jpg,,,,,,,,,, +,Vernicia fordii,王兰英,392,20080725,江西省,300~450,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239742.jpg,,,,,,,,,, +喜斑鸠菊,Vernonia blanda,唐宇丹等,YD002(2006-2451,20060930,西藏自治区,2798,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233728.jpg,,,,,,,,,, +喜斑鸠菊,Vernonia blanda,S.K.WU et al.,60,19951016,云南省,1700~1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01894254.jpg,,,,,,,,,, +夜香牛,Vernonia cinerea,,友Q2449,19660600,广西壮族自治区,400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235991.jpg,,,,,,,,,, +夜香牛,Vernonia cinerea,"Michael A.Vincent,R.J.Hickey,L.R.Richey",9213,20010513,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043006.jpg,,,,,,,,,, +斑鸠菊,Vernonia esculenta,"刘金鉴,田景全",178,19631012,四川省,800,山谷,路旁,疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087867.jpg,,,,,,,,,, +斑鸠菊,Vernonia esculenta,林秦文,2013-284,20130731,云南省,1750~2100,峡谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043202.jpg,,,,,,,,,, +斑鸠菊,Vernonia esculenta,广西队,192,19550527,广西壮族自治区,75,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997622.jpg,,,,,,,,,, +滇西斑鸠菊,Vernonia forrestii,G.Ferrest,10714,19130000,云南省,3000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01845207.jpg,,,,,,,,,, +滇西斑鸠菊,Vernonia forrestii,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0596547.jpg,,,,,,,,,, +滇西斑鸠菊,Vernonia forrestii,E.E.Maire,437,19130000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0596548.jpg,,,,,,,,,, +柳叶斑鸠菊,Vernonia saligna,覃海宁等,2207,19981105,广西壮族自治区,700,山地,山坡,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997609.jpg,,,,,,,,,, +柳叶斑鸠菊,Vernonia saligna,任再金,3651,19921114,贵州省,1000,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01834130.jpg,,,,,,,,,, +,Vernonia volkameriaefolia,马玖,243,20090129,云南省,570,热带植物园迁地保护区西南边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233719.jpg,,,,,,,,,, +,Vernonia volkameriaefolia,"李渤生,程树志",2339,19821228,西藏自治区,1200~850,江边林中十分常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067780.jpg,,,,,,,,,, +,Vernonia volkameriaefolia,红水河植物考察队,1232,19890516,广西壮族自治区,700,清水江大桥河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997638.jpg,,,,,,,,,, +北水苦荬,Veronica anagallis-aquatica,PE西藏队,PE5470,20170831,西藏自治区,3792,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330947.jpg,,,,,,,,,, +北水苦荬,Veronica anagallis-aquatica,Richard R.Halse,9420,20150604,,36,water filled ditch,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110696.jpg,,,,,,,,,, +北水苦荬,Veronica anagallis-aquatica,"川西队,关克俭,王文采等",181,19630722,四川省,3080,水内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087858.jpg,,,,,,,,,, +长果水苦荬,Veronica anagalloides,Harry Smith,6005,19240701,山西省,600,in rivulo,,有花无果,https://image.cvh.ac.cn/files/l/PE/01493367.jpg,,,,,,,,,, +长果水苦荬,Veronica anagalloides,Ginzberger,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01493138.jpg,,,,,,,,,, +长果水苦荬,Veronica anagalloides,朱格麟等,5564,19640728,新疆维吾尔自治区,,干草地渠边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01443898.jpg,,,,,,,,,, +有柄水苦荬,Veronica beccabunga,"陈伟烈,陈家瑞,郭柯,闰建平",6016,19840607,四川省,2400,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052737.jpg,,,,,,,,,, +有柄水苦荬,Veronica beccabunga,"李振宇,范晓虹,傅连中等",12455,20120730,新疆维吾尔自治区,,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005330.jpg,,,,,,,,,, +有柄水苦荬,Veronica beccabunga,Lund,s.n.,19271020,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913672.jpg,,,,,,,,,, +两裂婆婆纳,Veronica biloba,Sino-Russian Altai Expedition,SRAE2004060,20040000,新疆维吾尔自治区,,Rocky steppe slopes at the left bank,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766790.jpg,,,,,,,,,, +两裂婆婆纳,Veronica biloba,白龙江考察队,1837,19990603,甘肃省,2500,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556291.jpg,,,,,,,,,, +两裂婆婆纳,Veronica biloba,四川植物标本,德7045,19740621,四川省,3650,向阳草坡地边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01493807.jpg,,,,,,,,,, +弯果婆婆纳,Veronica campylopoda,关克俭,787,19570610,新疆维吾尔自治区,,荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01464074.jpg,,,,,,,,,, +,Veronica campylopoda,孙航,邓涛等,17148,20140508,,1318,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1253700.jpg,,,,,,,,,, +弯果婆婆纳,Veronica campylopoda,陈家辉,韩希,王东超,王广艳,杨大松,李资磊,张春林,陶云芬,YangYP-Q-4011,20110829,西藏,2921,路边灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1384776.jpg,,,,,,,,,, +灰毛婆婆纳,Veronica cana,"李渤生,程树志",5282,19830703,西藏自治区,2900,Abies林下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077550.jpg,,,,,,,,,, +灰毛婆婆纳,Veronica cana,安明态,148,20030408,贵州省,1300,杉木林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01493667.jpg,,,,,,,,,, +头花婆婆纳,Veronica capitata,George Forrest,8995,19120800,云南省,3333,Open stony pasture,,无花有果,https://image.cvh.ac.cn/files/l/PE/01464092.jpg,,,,,,,,,, +头花婆婆纳,Veronica capitata,George Forrest,24935,19240000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01464093.jpg,,,,,,,,,, +头花婆婆纳,Veronica capitata,H.T.Tsai,58087,19340821,云南省 ,0~4000,,herb,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0576947.jpg,,,,,,,,,, +察隅婆婆纳,Veronica chayuensis,青藏队,6161,19750630,西藏自治区,3500,山坡Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01464129.jpg,,,,,,,,,, +察隅婆婆纳,Veronica chayuensis,,8881,19160815,云南省 ,0~4200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0576958.jpg,,,,,,,,,, +察隅婆婆纳,Veronica chayuensis,邓向福,791491,19790803,云南省,4100~3450,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/477598.jpg,,,,,,,,,, +,Veronica ciliata subsp. ciliata,陶德定,11189,19760903,西藏自治区,4900,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802581.jpg,,,,,,,,,, +,Veronica ciliata subsp. ciliata,"亚吉东, 张桥蓉, 胡枭剑",16CS13036,20160616,新疆,2385,石质山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444832.jpg,,,,,,,,,, +长果婆婆纳,Veronica ciliata subsp. ciliata,谢登峰、成瑞渝,2028353,20190920,四川,4931,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02028353.jpg,,,,,,,,,, +半抱茎婆婆纳,Veronica deltigera,张永田,郎楷永,4521,19660624,西藏自治区,2700,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/701352.jpg,,,,,,,,,, +,Veronica deltigera,G.A.Gammis,,18910931,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU048526.jpg,,,,,,,,,, +长梗婆婆纳,Veronica deltigera,魏来、何毅,BNUXZ2016152,20160717,西藏,3750~4100,山坡灌草丛,,,https://image.cvh.ac.cn/files/l/BNU/0028268.jpg,,,,,,,,,, +毛果婆婆纳,Veronica eriogyne,D.E.Boufford et al.,39090,20070805,四川省,3570,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01916144.jpg,,,,,,,,,, +毛果婆婆纳,Veronica eriogyne,罗建等,LuoJian-ML039,20090927,西藏自治区,4625,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913616.jpg,,,,,,,,,, +丝梗婆婆纳,Veronica filipes,Ho Ting-nung et al.,1245,19930815,青海省,4400~4700,"Steep slopes with mostly Kobresia meadows,some lower slopes with Potentilla scrub on soft black soil.In rocky and sandy site",,无花有果,https://image.cvh.ac.cn/files/l/PE/01493669.jpg,,,,,,,,,, +丝梗婆婆纳,Veronica filipes,刘振书,1515,19340911,四川省,3850,upon the rocks,,有花有果,https://image.cvh.ac.cn/files/l/PE/01464531.jpg,,,,,,,,,, +丝梗婆婆纳,Veronica filipes,王作宾,14501,19510722,甘肃省,4000,生高山草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01464524.jpg,,,,,,,,,, +大花婆婆纳,Veronica himalensis,PE西藏考察队,7863,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332756.jpg,,,,,,,,,, +大花婆婆纳,Veronica himalensis,泛喜马拉雅植物志巴基斯坦采集队,1816,20120916,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005698.jpg,,,,,,,,,, +大花婆婆纳,Veronica himalensis,"汤宗孝,柏正强,任文夫",11,19930725,四川省,3500,半沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621595.jpg,,,,,,,,,, +,Veronica javanica,北京队,890966,19890509,广西壮族自治区,600,山沟荒田,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010317.jpg,,,,,,,,,, +,Veronica javanica,陇西山考察队,1164,19910607,福建省,700~900,山坡 林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01548099.jpg,,,,,,,,,, +,Veronica javanica,Y.Tateishi et al.,20945,19840927,台湾省,2500~3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01493843.jpg,,,,,,,,,, +绵毛婆婆纳,Veronica lanuginosa,中日考察队,T727,19900619,西藏自治区,5300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01464729.jpg,,,,,,,,,, +绵毛婆婆纳,Veronica lanuginosa,L.Sh.Hicks,16597,19490620,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01464724.jpg,,,,,,,,,, +绵毛婆婆纳,Veronica lanuginosa,史国宝,4A,19800900,青海省,0~3800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0577156.jpg,,,,,,,,,, +短花柱婆婆纳,Veronica lasiocarpa,陈家辉,庄会富,边巴扎西,YangYP-Q-2076,20090818,西藏,4546,河滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1384722.jpg,,,,,,,,,, +疏花婆婆纳,Veronica laxa,"朱大海,王炳锋,苏小镔等",276,20020429,四川省,1200,山脚沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115826.jpg,,,,,,,,,, +疏花婆婆纳,Veronica laxa,"董洪进,王泽欢,尹志坚",WM-0168,20160427,云南省,1500~1600,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091077.jpg,,,,,,,,,, +细叶穗花,Veronica linariifolia,李才贵,254,19840829,山西省,1560,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081467.jpg,,,,,,,,,, +细叶穗花,Veronica linariifolia,关克俭,3223,19570811,新疆维吾尔自治区,1740,山间盆地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054331.jpg,,,,,,,,,, +细叶穗花,Veronica linariifolia,赛罕坝,706,19710721,河北省,1460,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052317.jpg,,,,,,,,,, +长柄婆婆纳,Veronica longipetiolata,青藏队植被组,4390,19750628,西藏自治区,3050,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803199.jpg,,,,,,,,,, +长柄婆婆纳,Veronica longipetiolata,侯元同,郭成勇,侯春丽,201605063-1,20160430,四川省,1843.47,水岸边,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0025807.jpg,,,,,,,,,, +兔儿尾草,Veronica longipetiolata,张重岭,222,20180710,内蒙古,577.4,草甸,,有花无果,https://image.cvh.ac.cn/files/l/YAK/YAK0005339.jpg,,,,,,,,,, +,Veronica perpusilla,,?,85.6.30,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00034688.jpg,,,,,,,,,, +阿拉伯婆婆纳,Veronica persica,张彩飞,3173,20120414,湖北省,,路边空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247578.jpg,,,,,,,,,, +阿拉伯婆婆纳,Veronica persica,Taku Miyazaki,804032,20080405,,200~210,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054662.jpg,,,,,,,,,, +阿拉伯婆婆纳,Veronica persica,郭成勇,053013-1,20050417,山东省,150,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054034.jpg,,,,,,,,,, +鹿蹄草婆婆纳,Veronica piroliformis,"陈伟烈,陈家瑞,郭柯,闰建平",6090,19840609,四川省,2900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052738.jpg,,,,,,,,,, +鹿蹄草婆婆纳,Veronica piroliformis,青藏队,307,19810602,云南省,3800,禾本科草-杜鹃灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01481807.jpg,,,,,,,,,, +鹿蹄草婆婆纳,Veronica piroliformis,中国科学院昆明植物研究所,草-23,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01465574.jpg,,,,,,,,,, +尖果婆婆纳,Veronica rockii subsp. stenocarpa,郭永杰,张桥蓉,李春晓,张继,11CS3480,20110918,云南,3873,冷杉林林窗,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1384938.jpg,,,,,,,,,, +尖果婆婆纳,Veronica rockii subsp. stenocarpa,E.E.Maire,3495,0,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/478109.jpg,,,,,,,,,, +,Veronica rockii subsp. stenocarpa,胡君、王东超、 李丽、李奥奥、曾思源、黄欣,SC-a-010-B07,20160801,四川,,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609727.jpg,,,,,,,,,, +,Veronica semiamplexicaulis,"张永田,郞楷永",4521,19660621,西藏自治区,2700,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01465722.jpg,,,,,,,,,, +半抱茎婆婆纳,Veronica semiamplexicaulis,何兴金,赵丽华,梁乾隆等,SCU-10-061,20100914,四川,3413,公路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1384812.jpg,,,,,,,,,, +小婆婆纳,Veronica serpyllifolia,C.W.Wang,68822,19350800,云南省,3700,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115461.jpg,,,,,,,,,, +小婆婆纳,Veronica serpyllifolia,,14,19290606,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101781.jpg,,,,,,,,,, +小婆婆纳,Veronica serpyllifolia,"J.I.Jeon,H.S.Lee,H.J.Eom,Y.J.Park et B.Liu",SI1306,20100810,四川省,3657,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101678.jpg,,,,,,,,,, +四川婆婆纳,Veronica szechuanica subsp. szechuanica,李培元,8580,19570730,陕西省,0,阳山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/478391.jpg,,,,,,,,,, +四川婆婆纳,Veronica szechuanica subsp. szechuanica,胡秀英,2567,1940,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/478395.jpg,,,,,,,,,, +四川婆婆纳,Veronica szechuanica subsp. szechuanica,黄河调查队,3466,19560902,甘肃省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/478397.jpg,,,,,,,,,, +西藏婆婆纳,Veronica tibetica,西藏中草药普查队,208,19720610,西藏自治区,2450,河谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01474736.jpg,,,,,,,,,, +西藏婆婆纳,Veronica tibetica,裴盛基等,826,19871020,云南省,1800,路边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1267947.jpg,,,,,,,,,, +西藏婆婆纳,Veronica tibetica,,83130,83.05.13,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00034749.jpg,,,,,,,,,, +水苦荬,Veronica undulata,"刘正宇,张军等",RQHZ06020,20150312,重庆市,520,冲积土 水湿河滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115117.jpg,,,,,,,,,, +水苦荬,Veronica undulata,"王印政,彭华,邓德山,邓云飞,税玉民,朱大海",4355,19981020,云南省,1620,山地,山坡,水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098792.jpg,,,,,,,,,, +水苦荬,Veronica undulata,何文丰,761,19980218,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02054340.jpg,,,,,,,,,, +唐古拉婆婆纳,Veronica vandellioides,PE西藏考察队,7300,20180615,西藏自治区,4154~4259,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332644.jpg,,,,,,,,,, +唐古拉婆婆纳,Veronica vandellioides,Ho Ting-nung et al.,163,19930722,青海省,3650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052313.jpg,,,,,,,,,, +唐古拉婆婆纳,Veronica vandellioides,白水江采集队,5518,20070526,甘肃省,2350,草地中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01856979.jpg,,,,,,,,,, +云南婆婆纳,Veronica yunnanensis,北京所横断山队,1427,19810713,云南省,3100~3400,冷杉林下水边石壁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531375.jpg,,,,,,,,,, +云南婆婆纳,Veronica yunnanensis,李渤生等,5674,19830721,西藏自治区,3600,Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01474968.jpg,,,,,,,,,, +美穗草,Veronicastrum brunonianum,尹志坚等,1099,20090713,云南省,2400,"rforest margins,roadsdes",,有花有果,https://image.cvh.ac.cn/files/l/PE/01920561.jpg,,,,,,,,,, +美穗草,Veronicastrum brunonianum,236任务组,611,19720811,四川省,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01539716.jpg,,,,,,,,,, +美穗草,Veronicastrum brunonianum,236-6队,2759,19760716,湖北省,1900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01493196.jpg,,,,,,,,,, +菱叶腹水草,Veronicastrum rhombifolium,"H.Li,S.X.Yang,R.Li etc.",1045,20021110,云南省,2570,林(中)下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110683.jpg,,,,,,,,,, +菱叶腹水草,Veronicastrum rhombifolium,曲,6414,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475827.jpg,,,,,,,,,, +菱叶腹水草,Veronicastrum rhombifolium,曲桂齡,3440,19360806,四川省,2800,under bushes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475826.jpg,,,,,,,,,, +,Veronicastrum yunnanense,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",948,20021108,云南省,2580,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02111126.jpg,,,,,,,,,, +云南腹水草,Veronicastrum yunnanense,,441,,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0592979.jpg,,,,,,,,,, +蓝黑果荚迷,Viburnum atrocyaneum,唐宇丹等,LZ027(2006-2802,20061013,西藏自治区,2248,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01884941.jpg,,,,,,,,,, +蓝黑果荚迷,Viburnum atrocyaneum,曹,76,19830609,山西省,1900,砂岩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01572454.jpg,,,,,,,,,, +桦叶荚迷,Viburnum betulifolium,"钟国芳,喜多阳子,陈建志等",1054,19980820,台湾省,3100,"tsuga forest, on mountain ridge",,无花有果,https://image.cvh.ac.cn/files/l/PE/02235915.jpg,,,,,,,,,, +桦叶荚迷,Viburnum betulifolium,Q.Wang,213,19991000,四川省,2000~2800,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115417.jpg,,,,,,,,,, +桦叶荚迷,Viburnum betulifolium,"董洪进,王泽欢,尹志坚",WM-0071,20160426,云南省,1200~1300,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091309.jpg,,,,,,,,,, +短筒荚迷,Viburnum brevitubum,钟补勤,1828,,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01045364.jpg,,,,,,,,,, +短筒荚迷,Viburnum brevitubum,"周洪富,粟和毅",109926,19640804,重庆市,1800,林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01045361.jpg,,,,,,,,,, +短筒荚迷,Viburnum brevitubum,,61681,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01045360.jpg,,,,,,,,,, +,Viburnum chinshanense,巴山采集队,5064,20110630,四川省,1786,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873027.jpg,,,,,,,,,, +,Viburnum chinshanense,D.E.Boufford et al.,37459,20070507,甘肃省,800~930,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814727.jpg,,,,,,,,,, +,Viburnum chinshanense,谭仕兴,317,20050325,贵州省,930,岩石缝,,无花有果,https://image.cvh.ac.cn/files/l/PE/01775348.jpg,,,,,,,,,, +,Viburnum colebrookeanum,"Tsang,Wai Tak",629,19280610,海南省,,Growing on dry ground beside stream shasn Ma Haang,,无花有果,https://image.cvh.ac.cn/files/l/AU/AU049547.jpg,,,,,,,,,, +,Viburnum colebrookeanum,Tsiang Ying,1940,19290330,广东省,,in open ravine side of stream,shrubby,有花有果,https://image.cvh.ac.cn/files/l/AU/AU049563.jpg,,,,,,,,,, +密花荚迷,Viburnum congestum,236四川任务组,242,19710717,四川省,1300,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02085816.jpg,,,,,,,,,, +密花荚迷,Viburnum congestum,毕节队,225,19590710,贵州省,2000,山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01299331.jpg,,,,,,,,,, +密花荚迷,Viburnum congestum,秦仁昌,22901,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01112062.jpg,,,,,,,,,, +对节子,Viburnum corylifolium,孙必兴,965,19730715,云南省 ,2500,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0540711.jpg,,,,,,,,,, +对节子,Viburnum corylifolium,T.T.Chen,113,19430601,湖北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0540722.jpg,,,,,,,,,, +对节子,Viburnum corylifolium,Y.F.Wu,40,19560503,江苏省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0540724.jpg,,,,,,,,,, +黄栌叶荚迷,Viburnum cotinifolium,PE西藏考察队,7744,20180624,西藏自治区,3611,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332421.jpg,,,,,,,,,, +黄栌叶荚迷,Viburnum cotinifolium,T.N.Liou,L.5681,19362102,,541,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01112092.jpg,,,,,,,,,, +水红木,Viburnum cylindricum,PE西藏队,PE6226,20170910,西藏自治区,2488~2994,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332923.jpg,,,,,,,,,, +水红木,Viburnum cylindricum,"S.K.Wu,Y.M.Shui et al.",2565,19951030,云南省,1300~840,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02235797.jpg,,,,,,,,,, +水红木,Viburnum cylindricum,"Q.Wang ,K.Yao",99142,19990600,四川省,2300,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115431.jpg,,,,,,,,,, +红荚迷,Viburnum erubescens,PE西藏考察队,7429,20180617,西藏自治区,2818,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333294.jpg,,,,,,,,,, +红荚迷,Viburnum erubescens,"朱大海,王永,王炳锋,苏小镔",187,20020419,四川省,1130,山脚沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115162.jpg,,,,,,,,,, +红荚迷,Viburnum erubescens,"尹志坚,董洪进,向春雷",1182,20090713,云南省,2800,forest margins roadsides,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005689.jpg,,,,,,,,,, +香荚迷,Viburnum farreri,"赵振鐻,师进斌,范德刚",114526,19810616,四川省,2800,林中灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099519.jpg,,,,,,,,,, +香荚迷,Viburnum farreri,张志耘等,2015-298,20150607,北京市,90,roadside cult,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064623.jpg,,,,,,,,,, +香荚迷,Viburnum farreri,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01131297.jpg,,,,,,,,,, +臭荚迷,Viburnum foetidum,"王印政,彭华,邓德山,邓云飞,税玉民,朱大海",4131,19981018,云南省,1700,山地,山谷,石山,,无花有果,https://image.cvh.ac.cn/files/l/PE/02098680.jpg,,,,,,,,,, +臭荚迷,Viburnum foetidum,"刘金鉴,田景全",209,19631013,四川省,1000,半阳处 路旁 灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091419.jpg,,,,,,,,,, +直角荚迷,Viburnum foetidum var. rectangulatum,"H.Li,S.X.Yang,R.Li etc.",30,20020809,云南省,2550,次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110941.jpg,,,,,,,,,, +直角荚迷,Viburnum foetidum var. rectangulatum,"川西队,关克俭,王文采等",3325,19630911,四川省,900,山坡灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091591.jpg,,,,,,,,,, +聚花荚迷,Viburnum glomeratum,云台山采集队,698,20090611,河南省,,a山顶草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064699.jpg,,,,,,,,,, +聚花荚迷,Viburnum glomeratum,巴山采集队,5385,20110711,四川省,1520,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873048.jpg,,,,,,,,,, +聚花荚迷,Viburnum glomeratum,"覃海宁,吴振海,刘冰",19335,20060926,陕西省,1822,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01809827.jpg,,,,,,,,,, +大花荚迷,Viburnum grandiflorum,PE西藏考察队,7451,20180617,西藏自治区,2808,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333310.jpg,,,,,,,,,, +大花荚迷,Viburnum grandiflorum,泛喜马拉雅植物志巴基斯坦采集队,FPH-1253,20120627,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022645.jpg,,,,,,,,,, +甘肃荚迷,Viburnum kansuense,西藏队,77,19751102,西藏自治区,2800,山坡阴处疏林中灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087768.jpg,,,,,,,,,, +甘肃荚迷,Viburnum kansuense,D.E.Boufford et al.,37971,20070723,四川省,2880~2920,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916553.jpg,,,,,,,,,, +琼花,Viburnum macrocephalum,覃海宁等,18159,20041119,江西省,110,山谷路边,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01861553.jpg,,,,,,,,,, +琼花,Viburnum macrocephalum,山东队,149,19561009,山东省,,花壇中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827725.jpg,,,,,,,,,, +琼花,Viburnum macrocephalum,何国生,588,19800323,福建省,150,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01775392.jpg,,,,,,,,,, +蒙古荚迷,Viburnum mongolicum,孙学刚等,20010193,20010812,甘肃省,2700,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02235919.jpg,,,,,,,,,, +蒙古荚迷,Viburnum mongolicum,Anonymous,Q096,20050903,青海省,2550,岩石生长临水潮湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235429.jpg,,,,,,,,,, +蒙古荚迷,Viburnum mongolicum,李才贵,9,19840526,山西省,1900,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081607.jpg,,,,,,,,,, +,Viburnum mullaha,PE西藏考察队,7969,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333211.jpg,,,,,,,,,, +西域荚蒾,Viburnum mullaha,大瑶山综考队,14029,19820410,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00194330.jpg,,,,,,,,,, +少毛西域荚蒾,Viburnum mullaha var. glabrescens,胡君,熊豫宁,伍小刚,王东超,HJ04958,20151026,西藏自治区,2800,铁杉林下,落叶灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00598906.jpg,,,,,,,,,, +少毛西域荚蒾,Viburnum mullaha var. glabrescens,刘成、亚吉东、何华杰、李昌洪,16CS11807,20161109,西藏,2210,河谷杂木林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1480010.jpg,,,,,,,,,, +显脉荚迷,Viburnum nervosum,,99156,19990600,四川省,3100,山坡铁杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115427.jpg,,,,,,,,,, +显脉荚迷,Viburnum nervosum,尹志坚等,1210,20090715,云南省,2530,"roadsides,forest mangins",,有花无果,https://image.cvh.ac.cn/files/l/PE/01920612.jpg,,,,,,,,,, +显脉荚迷,Viburnum nervosum,PE西藏队,PE5803,20170903,西藏自治区,3401,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01890212.jpg,,,,,,,,,, +少花荚迷,Viburnum oliganthum,陈明洪等,981305,19980700,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235793.jpg,,,,,,,,,, +少花荚迷,Viburnum oliganthum,白水江考察队,1276,20060706,甘肃省,1300,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01855343.jpg,,,,,,,,,, +少花荚迷,Viburnum oliganthum,植物地理调查队,880,19780729,重庆市,1750,林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01273085.jpg,,,,,,,,,, +陕西荚迷,Viburnum schensianum,C.W.Wang,64135,19350700,云南省,1932,in ravine,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091093.jpg,,,,,,,,,, +陕西荚迷,Viburnum schensianum,孔冬梅,k0186,20140706,山西省,848,陡坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039816.jpg,,,,,,,,,, +陕西荚迷,Viburnum schensianum,D.L.,97087,19970710,甘肃省,900,山坡林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892200.jpg,,,,,,,,,, +常绿荚迷,Viburnum sempervirens,"张寿洲,李良千等",1340,20050512,广东省,400~500,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809435.jpg,,,,,,,,,, +常绿荚迷,Viburnum sempervirens,黄放军,44,20040619,湖南省,750,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01775423.jpg,,,,,,,,,, +边沿荚迷,Viburnum subalpinum,G.Forrest,29783,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01223073.jpg,,,,,,,,,, +亚高山荚迷,Viburnum subalpinum,青藏队,5571,19750606,西藏自治区,2600,山坡灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/191212.jpg,,,,,,,,,, +合轴荚迷,Viburnum sympodiale,"朱大海,王永,王炳锋等",510,20020613,四川省,2100,山坡林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115027.jpg,,,,,,,,,, +合轴荚迷,Viburnum sympodiale,"董洪进,王泽欢,尹志坚",WM-0126,20160427,云南省,1300~1700,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091004.jpg,,,,,,,,,, +腾越荚迷,Viburnum tengyuehense,生态室高原组,11545,19800803,西藏自治区,1750,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01447114.jpg,,,,,,,,,, +腾越荚迷,Viburnum tengyuehense,H.T.Tsai,59187,19341101,云南省,2000,road side,,无花有果,https://image.cvh.ac.cn/files/l/PE/01242059.jpg,,,,,,,,,, +少裂凹乳芹,Vicatia bipinnata,云龙药普办,287,19851008,云南省,1620,生于向阳山坡草丛中,,,https://image.cvh.ac.cn/files/l/KUN/1292693.jpg,,,,,,,,,, +少裂凹乳芹,Vicatia bipinnata,无,574,19600000,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0466396.jpg,,,,,,,,,, +少裂凹乳芹,Vicatia bipinnata,"岳俊三, 宋国杰, 庄体德",6405,19640827,四川省,2700,山阴处林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00034335.jpg,,,,,,,,,, +凹乳芹,Vicatia coniifolia,西藏中草药普查队,669,19720628,西藏自治区,4600~4700,倒石堆,,无花无果,https://image.cvh.ac.cn/files/l/PE/00780199.jpg,,,,,,,,,, +凹乳芹,Vicatia coniifolia,王启无,68884,19350800,云南省,3700,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00780196.jpg,,,,,,,,,, +西藏凹乳芹,Vicatia thibetica,PE西藏队,PE5040,20170825,西藏自治区,3749,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330192.jpg,,,,,,,,,, +西藏凹乳芹,Vicatia thibetica,T.T.Yu,12922,19370827,四川省,2800,side of mt stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/00780183.jpg,,,,,,,,,, +山野豌豆(原变种),Vicia amoena var. amoena,陈虎彪,86124,19860831,四川,3000,山坡草地,,无花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0004697.jpg,,,,,,,,,, +山野豌豆,Vicia amoena var. amoena,张重岭,374,20140715,内蒙古自治区,977,路边草地,,有花无果,https://image.cvh.ac.cn/files/l/YAK/0002177.jpg,,,,,,,,,, +山野豌豆,Vicia amoena var. amoena,卢铭,20190520015,20190520,黑龙江,95,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0001785.jpg,,,,,,,,,, +,Vicia amurensis,,s.n.,19800717,辽宁省,,山地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01568963.jpg,,,,,,,,,, +,Vicia amurensis,Miyoshi Furuse,41250,19630811,,980,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01188485.jpg,,,,,,,,,, +,Vicia amurensis,中德队,475,19560815,吉林省,,林边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00319402.jpg,,,,,,,,,, +,Vicia bakeri,胡君、王东超、李丽、唐露,SC-a-093-B18,20180817,四川,3417,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261087.jpg,,,,,,,,,, +,Vicia bakeri,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-151-B14,20190825,西藏,3505,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261110.jpg,,,,,,,,,, +大花野豌豆,Vicia bungei,孔冬梅,K0025,20140412,山西省,1359,沟底,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031861.jpg,,,,,,,,,, +大花野豌豆,Vicia bungei,"Go,Youn Jin & Kim, Yoon Young",,20110521,,290,"Hillside behind town near farmland,half-shaded and dry place",,有花无果,https://image.cvh.ac.cn/files/l/PE/01983539.jpg,,,,,,,,,, +大花野豌豆,Vicia bungei,老铁山采集队,68,20080430,辽宁省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879832.jpg,,,,,,,,,, +,Vicia costata,刘冰,940,20070806,新疆维吾尔自治区,1992,荒漠,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043484.jpg,,,,,,,,,, +,Vicia costata,刘学忠,406,19590703,北京市,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01812570.jpg,,,,,,,,,, +,Vicia costata,,3652,19310730,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01723687.jpg,,,,,,,,,, +广布野豌豆,Vicia cracca,PE西藏队,PE5681,20170903,西藏自治区,1683~2900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330372.jpg,,,,,,,,,, +广布野豌豆,Vicia cracca,A.K.Skvortsov,s.n.,19860807,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111738.jpg,,,,,,,,,, +广布野豌豆,Vicia cracca,"张新时,郭柯",天山-447,19860806,新疆维吾尔自治区,2680,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097531.jpg,,,,,,,,,, +,Vicia dichroantha,R.C.Ching,21623,19390914,云南省,,In mixed forests,,有花有果,https://image.cvh.ac.cn/files/l/PE/00327163.jpg,,,,,,,,,, +,Vicia dichroantha,T.T Yü,7320,19370718,四川省,2300,Margin of woods grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00327156.jpg,,,,,,,,,, +小巢菜,Vicia hirsuta,"傅德志,陈淑荣,邵毅贞等",1681,20140425,四川省,1120~1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020989.jpg,,,,,,,,,, +小巢菜,Vicia hirsuta,Taku Miyazaki,903111,20090328,,30~40,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01983290.jpg,,,,,,,,,, +小巢菜,Vicia hirsuta,覃海宁等,18502,20050423,江西省,51,路旁草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01861699.jpg,,,,,,,,,, +,Vicia megalotropis,白水江采集队,5646,20070905,甘肃省,1960~2350,林缘 沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826588.jpg,,,,,,,,,, +,Vicia megalotropis,O.Nikiforova,6586,19810709,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598220.jpg,,,,,,,,,, +,Vicia megalotropis,王金亭,3255,19610524,西藏自治区,4000,阳坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00211623.jpg,,,,,,,,,, +,Vicia multicaulis,,s.n.,19630610,内蒙古自治区,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01600905.jpg,,,,,,,,,, +,Vicia multicaulis,青藏科考队,11099,19760827,西藏自治区,4100~4300,阳坡灌丛 草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01538773.jpg,,,,,,,,,, +,Vicia multicaulis,,208,19640703,青海省,3800,山地阴坡 疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538764.jpg,,,,,,,,,, +,Vicia nummularia,"朱相云,杨永,潘勃",20050124,20050724,云南省,2740,近奔子兰处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01979125.jpg,,,,,,,,,, +,Vicia nummularia,C.S.Chang et al.,SI0922,20100701,四川省,1637,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924426.jpg,,,,,,,,,, +,Vicia pseudo-orobus,云台山采集队,1349,20090800,河南省,1100~1200,路边草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02015769.jpg,,,,,,,,,, +,Vicia pseudo-orobus,井波一雄,CBM 215372,19600925,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880319.jpg,,,,,,,,,, +大叶野豌豆,Vicia pseudo-orobus,傅坤俊等,67,19370820,陕西省,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0624987.jpg,,,,,,,,,, +,Vicia sativa subsp. nigra,Ming-Jer Jung,3677,20090112,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924293.jpg,,,,,,,,,, +,Vicia sativa subsp. nigra,Jean Shepard,46,20000219,,12,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879583.jpg,,,,,,,,,, +窄叶野豌豆,Vicia sativa subsp. nigra,"胡建湘,白顺星",139,20180313,云南,,C51,草本,无花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026411.jpg,,,,,,,,,, +野豌豆,Vicia sepium,陈全胜,CF-0002-047,20170820,内蒙古自治区,717,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246937.jpg,,,,,,,,,, +野豌豆,Vicia sepium,"董洪进,赵飞",WM-0459,20160517,云南省,1900,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090320.jpg,,,,,,,,,, +,Vicia sinogigantea,王庆娃,558,19990910,陕西,,山坡上,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00605060.jpg,,,,,,,,,, +大野豌豆,Vicia sinogigantea,叶喜阳,DJD13073,20130420,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0031276.jpg,,,,,,,,,, +大野豌豆,Vicia sinogigantea,何毅 郝加琛,GL2015051023,20150602,甘肃省,,林下,,,https://image.cvh.ac.cn/files/l/BNU/0018882.jpg,,,,,,,,,, +三尖野豌豆,Vicia ternata,李馨,71323,19570606,四川省,2670,,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432581.jpg,,,,,,,,,, +,Vicia ternata,彭玉兰、涂卫国、幸福,Gaoxf471,20080721,四川,2787,高山灌丛,攀援草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0237485.jpg,,,,,,,,,, +,Vicia tibetica,PE西藏考察队,7261,20180614,西藏自治区,4121,河谷、山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333768.jpg,,,,,,,,,, +,Vicia tibetica,T.T.Yu,19599,19370803,云南省,2350,Mt. slope open grassy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00327199.jpg,,,,,,,,,, +,Vicia tibetica,四川省调查队,稻2127,19730914,四川省,2956,生于较湿地边沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00327188.jpg,,,,,,,,,, +歪头菜,Vicia unijuga,陈全胜,CF06-4077,20180627,内蒙古自治区,1668,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247262.jpg,,,,,,,,,, +歪头菜,Vicia unijuga,,99,19790715,辽宁省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094367.jpg,,,,,,,,,, +歪头菜,Vicia unijuga,"川西队,关克俭,王文采等",关王630,19630717,四川省,3500~3600,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092972.jpg,,,,,,,,,, +长柔毛野豌豆,Vicia villosa,牧草组,60,19560718,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826974.jpg,,,,,,,,,, +长柔毛野豌豆,Vicia villosa,白水江采集队,3834,20070502,甘肃省,900,山坡路边阳坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826501.jpg,,,,,,,,,, +长柔毛野豌豆,Vicia villosa,,涉3,19720830,河北省,800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820604.jpg,,,,,,,,,, +乌头叶豆,Vigna aconitifolia,吴征镒,4014,19760803,云南省,1000,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0625361.jpg,,,,,,,,,, +乌头叶豆,Vigna aconitifolia,刘心祈,27943,19361001,海南省 ,0,,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0625366.jpg,,,,,,,,,, +,Vigna minima,Ming-Jer Jung,3531,20081007,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932276.jpg,,,,,,,,,, +,Vigna minima,老铁山采集队,603,20080929,辽宁省,112,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879829.jpg,,,,,,,,,, +,Vigna trilobata,,1123,,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00319672.jpg,,,,,,,,,, +三裂叶豇豆,Vigna trilobata,B.V.Shetly,2306,19751024,,150,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0199238.jpg,,,,,,,,,, +,Vigna trilobata,孙航,周浙昆等,437,19921015,西藏自治区,800,in shrub forest,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0625441.jpg,,,,,,,,,, +野豇豆,Vigna vexillata,刘冰等,951,20070816,云南省,2100,灌丛边缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063901.jpg,,,,,,,,,, +野豇豆,Vigna vexillata,北京队,896850,19890909,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01996911.jpg,,,,,,,,,, +野豇豆,Vigna vexillata,Carvalho,4216,19890411,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01983365.jpg,,,,,,,,,, +,Viola belophylla,陈又生,4269A,20040713,云南省,1900,stream side sandy soils,,无花有果,https://image.cvh.ac.cn/files/l/PE/01820529.jpg,,,,,,,,,, +,Viola belophylla,陈又生,4259,20040704,四川省,2850,forest margin,,无花有果,https://image.cvh.ac.cn/files/l/PE/01820525.jpg,,,,,,,,,, +戟叶堇菜,Viola betonicifolia,,Q13(9),19620910,广西壮族自治区,1500,草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01990961.jpg,,,,,,,,,, +戟叶堇菜,Viola betonicifolia,"D.E.Boufford,B.D.Liu,,Z.Y.Xi,T.S.Ying & X.C.Zhang",26345,19940530,河南省,650~950,gravelly stream bed,,无花有果,https://image.cvh.ac.cn/files/l/PE/01893927.jpg,,,,,,,,,, +戟叶堇菜,Viola betonicifolia,陈又生,6046,20060325,四川省,650,Dry grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840496.jpg,,,,,,,,,, +,Viola biflora var. biflora,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11918,20161115,西藏,2096,中山湿性常绿阔叶林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445592.jpg,,,,,,,,,, +鳞茎堇菜,Viola bulbosa,,80,19640616,青海省,4300,山地阴坡灌丛下湿润处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083122.jpg,,,,,,,,,, +鳞茎堇菜,Viola bulbosa,青藏队那曲分队陶德定,10424,19760529,西藏自治区,4300,林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061608.jpg,,,,,,,,,, +鳞茎堇菜,Viola bulbosa,白水江采集队,5033,20070519,甘肃省,2350,路边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850063.jpg,,,,,,,,,, +南山堇菜,Viola chaerophylloides,"陈又生,袁慊,徐连升等",140767,20140723,内蒙古自治区,1600,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038227.jpg,,,,,,,,,, +南山堇菜,Viola chaerophylloides,郭成勇,2000643317,20060823,山东省,450,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01924602.jpg,,,,,,,,,, +南山堇菜,Viola chaerophylloides,陈又生,4056,20040522,辽宁省,200~500,Mixed forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840427.jpg,,,,,,,,,, +密叶堇菜,Viola confertifolia,"杨亲二,陈又生,袁琼",138,20030913,云南省,3100,放牧草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01881631.jpg,,,,,,,,,, +密叶堇菜,Viola confertifolia,韦美会,20100101,20100525,贵州省,1256,路边,,无花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0008336.jpg,,,,,,,,,, +密叶堇菜,Viola confertifolia,陈立卿,93354,19530601,广西,,田中,,有花无果,https://image.cvh.ac.cn/files/l/GAC/GAC0002157.jpg,,,,,,,,,, +灰叶堇菜,Viola delavayi,林秦文,2013-229,20130602,云南省,2300,寺庙边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040800.jpg,,,,,,,,,, +灰叶堇菜,Viola delavayi,攀枝花苏铁考察队,262,20100711,四川省,2214,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879917.jpg,,,,,,,,,, +七星莲,Viola diffusa,"何明友,谭仲明",116929,19870407,四川省,1200,路旁林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093848.jpg,,,,,,,,,, +七星莲,Viola diffusa,川黔队,47,19560421,重庆市,800,山地 山坡 阴处 路旁 疏密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083262.jpg,,,,,,,,,, +,Viola dimorphophylla,Y. S. Chen,4268,20040711,云南省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896058.jpg,,,,,,,,,, +轮叶堇菜,Viola dimorphophylla,韦双妹,201810232,20180422,贵州省,437.21,樟,,有花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0019356.jpg,,,,,,,,,, +,Viola dimorphophylla,"Chen, Y.S.",4268,11-Jul-04,,,,,,https://image.cvh.ac.cn/files/l/E/E00226334.jpg,,,,,,,,,, +裂叶堇菜,Viola dissecta,张彩飞,2227,20100429,陕西省,1220,路边疏灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247331.jpg,,,,,,,,,, +裂叶堇菜,Viola dissecta,石雷 林秦文,2011045,20110415,北京市,140,路边草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112325.jpg,,,,,,,,,, +裂叶堇菜,Viola dissecta,李才贵,56,19840530,山西省,1800,灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081455.jpg,,,,,,,,,, +,Viola fargesii,白水江采集队,3880,20070502,甘肃省,1100,山坡林下阴湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850084.jpg,,,,,,,,,, +,Viola fargesii,陈又生,6021,20060319,云南省,2100,Shady forest margin,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840551.jpg,,,,,,,,,, +,Viola fargesii,陈又生,6027,20060322,广西壮族自治区,1300~1550,"Under sparse forest,common",,有花无果,https://image.cvh.ac.cn/files/l/PE/01840548.jpg,,,,,,,,,, +羽裂堇菜,Viola forrestiana,西藏中草药普查队,3072,19720527,西藏自治区,3000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061607.jpg,,,,,,,,,, +羽裂堇菜,Viola forrestiana,陈又生,6049,20060327,四川省,1800,"Grassy slopes,rare,along with 6048",,有花无果,https://image.cvh.ac.cn/files/l/PE/01840476.jpg,,,,,,,,,, +西藏堇菜,Viola kunawarensis,PE西藏考察队,7355,20180616,西藏自治区,4392,高山草甸、灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331635.jpg,,,,,,,,,, +西藏堇菜,Viola kunawarensis,"陈又生,袁慊",141445,20140810,新疆维吾尔自治区,2738,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038258.jpg,,,,,,,,,, +白花堇菜,Viola lactiflora,刘淼等,A10046,20050517,安徽省,300,生于空地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01820267.jpg,,,,,,,,,, +白花堇菜,Viola lactiflora,谭策铭,93609,19931128,江西省,190,山脚阔圹坝内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629289.jpg,,,,,,,,,, +白花堇菜,Viola lactiflora,陇西山考察队,1818,19910913,福建省,700~770,林缘 沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01548247.jpg,,,,,,,,,, +,Viola milingensis,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-1090,20080724,西藏,3696,亚高山灌丛,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300917.jpg,,,,,,,,,, +米林堇菜,Viola milingensis,郑维列,7,19900415,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00006897.jpg,,,,,,,,,, +萱,Viola moupinensis,"董洪进,王泽欢,尹志坚",WM-0206,20160427,云南省,1500~1600,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090327.jpg,,,,,,,,,, +萱,Viola moupinensis,"杨红梅,朗校安等",1582,20140422,四川省,1600~1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02021675.jpg,,,,,,,,,, +萱,Viola moupinensis,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0562,20130807,西藏自治区,2802,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992890.jpg,,,,,,,,,, +悬果堇菜,Viola pendulicarpa,"张树仁,陈淑荣,朗校安等",2137,20140620,四川省,1650~1800,山坡 阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021672.jpg,,,,,,,,,, +悬果堇菜,Viola pendulicarpa,白水江采集队,4898,20070514,甘肃省,1250,山坡石壁上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850054.jpg,,,,,,,,,, +紫花地丁,Viola philippica,石雷 林秦文,2011001,20110415,北京市,120,路旁荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112316.jpg,,,,,,,,,, +紫花地丁,Viola philippica,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",524,20020825,云南省,2500,山地次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100979.jpg,,,,,,,,,, +紫花地丁,Viola philippica,孔冬梅,k0051,20140413,山西省,1004,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040921.jpg,,,,,,,,,, +匍匐堇菜,Viola pilosa,西藏中草药普查队,3387,19720615,西藏自治区,2500,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02061605.jpg,,,,,,,,,, +匍匐堇菜,Viola pilosa,X.H.Jin et al.,DLJ-ET0858,20080701,云南省,1876,evergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/02030423.jpg,,,,,,,,,, +圆叶小堇菜,Viola rockiana,"于胜祥,王伟",6500,20110902,云南省,,高山山坡草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02282581.jpg,,,,,,,,,, +圆叶小堇菜,Viola rockiana,陈又生,4250,20040630,四川省,3820~4000,alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820530.jpg,,,,,,,,,, +圆叶小堇菜,Viola rockiana,白龙江考察队,825,19980726,甘肃省,2700,山地 山坡密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01560462.jpg,,,,,,,,,, +,Viola striatella,陈又生,12-010,20120501,湖北省,1841,林缘草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043508.jpg,,,,,,,,,, +,Viola striatella,"邵毅贞,陈淑荣等",1636,20140424,四川省,1944~2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021683.jpg,,,,,,,,,, +,Viola szetschwanensis var. nudicaulis,罗建等,LuoJian-ZX-0901,20090606,西藏自治区,2526,"林缘灌丛,草地",,有花无果,https://image.cvh.ac.cn/files/l/PE/01924211.jpg,,,,,,,,,, +,Viola szetschwanensis var. nudicaulis,王启无,70243,19350900,云南省,2700,Border of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00062507.jpg,,,,,,,,,, +,Viola szetschwanensis var. nudicaulis,罗建,汪书丽,LiuJQ-08XZ-101,20080725,西藏,3638,路边林缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1236985.jpg,,,,,,,,,, +四川堇菜(原变种),Viola szetschwanensis var. szetschwanensis,海仙,HX2007-14,20070526,云南省,3378,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005414.jpg,,,,,,,,,, +细距堇菜,Viola tenuicornis,石雷 林秦文,2011048,20110415,北京市,80,河边公路边荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112332.jpg,,,,,,,,,, +细距堇菜,Viola tenuicornis,孔冬梅,k0359,20140717,山西省,471,河滩湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040930.jpg,,,,,,,,,, +细距堇菜,Viola tenuicornis,云台山采集队,285,20080924,河南省,,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02030826.jpg,,,,,,,,,, +毛堇菜,Viola thomsonii,陈又生,6017,20060319,云南省,2100,"Forest margin,common",,有花无果,https://image.cvh.ac.cn/files/l/PE/01840542.jpg,,,,,,,,,, +,Viola tienschiensis,陈又生,6012,20000318,云南省,2100,"Under sparse forest,rare",,有花无果,https://image.cvh.ac.cn/files/l/PE/01840501.jpg,,,,,,,,,, +,Viola tienschiensis,陈又生,6048,20060327,四川省,1600~2000,Grassy slopes or in rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840486.jpg,,,,,,,,,, +毛瓣堇菜,Viola trichopetala,陈又生,6025,20060320,云南省,1800,Dry waste grassland,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840504.jpg,,,,,,,,,, +粗齿堇菜,Viola urophylla var. urophylla,弥渡普查队,5329251019,20120717,云南省,1748,,草本,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0002843.jpg,,,,,,,,,, +,Viola yunnanfuensis,陈又生,6011,20060318,云南省,2000,Under sparse forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840465.jpg,,,,,,,,,, +,Viola yunnanfuensis,陈又生,4175,20040612,贵州省,1070,Grassy slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840257.jpg,,,,,,,,,, +卵叶槲寄生,Viscum album var. meridianum,"李渤生,李辉",14175,19901010,西藏自治区,2400~2600,常绿阔叶林缘树上偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073250.jpg,,,,,,,,,, +卵叶槲寄生,Viscum album var. meridianum,780植被组,150,19781101,云南省,1300,林中树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01486265.jpg,,,,,,,,,, +线叶槲寄生,Viscum fargesii,何叶祺,5269,19590724,甘肃省,2150,寄生前号?上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00916151.jpg,,,,,,,,,, +线叶槲寄生,Viscum fargesii,傅坤俊,4847,19520630,陕西省,1700,寄生于山杨上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00916149.jpg,,,,,,,,,, +,Viscum liquidambaricola,Southeast Tibet Expedition Team,809,20090826,西藏自治区,3181,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02006278.jpg,,,,,,,,,, +枫香槲寄生,Viscum liquidambaricola,E.H.Wilson,4482,19190503,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0364629.jpg,,,,,,,,,, +枫香槲寄生,Viscum liquidambaricola,何汉槄,60193,19300301,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0364611.jpg,,,,,,,,,, +绿茎槲寄生,Viscum nudum,四川省植被调查队,得4110,19730920,四川省,3800,沟谷边,山杨树枝上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00916219.jpg,,,,,,,,,, +绿茎槲寄生,Viscum nudum,,78088,19780730,贵州省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0381979.jpg,,,,,,,,,, +长叶荆,Vitex burmensis,Li-Jianwu,3081,20130504,云南省,1800,evergreen broad-leaved forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252089.jpg,,,,,,,,,, +长叶荆,Vitex burmensis,刘成,字海荣,高歌,赵金超,13CS6598,20130829,云南,1810,林缘路边山坡,灌木,,https://image.cvh.ac.cn/files/l/KUN/1386834.jpg,,,,,,,,,, +牡荆,Vitex negundo var. cannabifolia,"谭策铭,张继光",93436,19930917,江西省,40,山脚路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241924.jpg,,,,,,,,,, +牡荆,Vitex negundo var. cannabifolia,安作军,T0092,19850716,河南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241925.jpg,,,,,,,,,, +牡荆,Vitex negundo var. cannabifolia,徐洪贵,2484,19950603,四川省,550,河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241923.jpg,,,,,,,,,, +小叶荆,Vitex negundo var. microphylla,青藏队植被组,8218,19760605,西藏自治区,2400,阴坡 澜沦江西,,无花无果,https://image.cvh.ac.cn/files/l/PE/01532882.jpg,,,,,,,,,, +小叶荆,Vitex negundo var. microphylla,姜恕,8848,19600531,云南省,1840,山谷河边第一陆地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00966707.jpg,,,,,,,,,, +小叶荆,Vitex negundo var. microphylla,,1566,19720803,四川省,2500,生于向阳干燥草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00966699.jpg,,,,,,,,,, +,Vitex negundo var. negundo,北京队,893041,19891115,广西壮族自治区,,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009793.jpg,,,,,,,,,, +,Vitex negundo var. negundo,"龙春林, 李东平, 纪圆圆, 舒航",LONGCL-160,20160711,贵州,514,亚热带常绿阔叶林,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1448223.jpg,,,,,,,,,, +黄荆,Vitex negundo var. negundo,武陵山考察队,1753,19880816,贵州省,950,山坡灌丛或开旷山坡或河滩边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/429953.jpg,,,,,,,,,, +滇牡荆,Vitex yunnanensis,川西队 关克俭 王文采等,1663,19630819,四川省,1970,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02243953.jpg,,,,,,,,,, +滇牡荆,Vitex yunnanensis,辛景三,802,19570910,云南省,1550~2450,路边斜坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02243954.jpg,,,,,,,,,, +桦叶葡萄,Vitis betulifolia,林秦文,2013-167,20130601,云南省,1750~2300,峡谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02038709.jpg,,,,,,,,,, +桦叶葡萄,Vitis betulifolia,广西调查队,508,19550631,广西壮族自治区,200~400,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999680.jpg,,,,,,,,,, +桦叶葡萄,Vitis betulifolia,巴山采集队,62,20080706,重庆市,1680,沟谷林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850968.jpg,,,,,,,,,, +刺葡萄,Vitis davidii,北京队,891172,19890511,广西壮族自治区,600,石山 山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999699.jpg,,,,,,,,,, +刺葡萄,Vitis davidii,红水河植物考察队,81699,19890527,云南省,1300,石灰岩 山坡 杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999697.jpg,,,,,,,,,, +刺葡萄,Vitis davidii,覃海宁等,18716,20050429,江西省,130,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01861721.jpg,,,,,,,,,, +葛荔葡萄,Vitis flexuosa,巴山采集队,6300,20120708,四川省,554~610,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066308.jpg,,,,,,,,,, +葛荔葡萄,Vitis flexuosa,北京队,8901900,19890506,广西壮族自治区,300,山坡 荒草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999696.jpg,,,,,,,,,, +葛荔葡萄,Vitis flexuosa,Taku Miyazaki,708292,20070831,,490~530,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922652.jpg,,,,,,,,,, +桑叶葡萄,Vitis heyneana subsp. ficifolia,孔冬梅,k0194,20140706,山西省,781,林下阴坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02015732.jpg,,,,,,,,,, +桑叶葡萄,Vitis heyneana subsp. ficifolia,刘冰,338,20060826,天津市,400,路边灌草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01810034.jpg,,,,,,,,,, +桑叶葡萄,Vitis heyneana subsp. ficifolia,萧百中,3524,20040525,湖南省,870,山顶空地山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612191.jpg,,,,,,,,,, +毛葡萄,Vitis heyneana subsp. heyneana,60年秦岭队,1705,19600818,陕西省,700,山谷 路旁,藤本 攀援,无花有果,https://image.cvh.ac.cn/files/l/XBGH/XBGH009618.jpg,,,,,,,,,, +毛葡萄(原亚种),Vitis heyneana subsp. heyneana,方震东、刘琳、李红、和光、史小武、赵卫东、陈洁,K-1732,20020928,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 007154.jpg,,,,,,,,,, +毛葡萄(原亚种),Vitis heyneana subsp. heyneana,张桥蓉,宋鼎,孙旭伟,ZhangYH062,20190901,贵州,940,石质山坡上,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1489879.jpg,,,,,,,,,, +变叶葡萄,Vitis piasezkii,孔冬梅,k0228,20140707,山西省,646,阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040939.jpg,,,,,,,,,, +变叶葡萄,Vitis piasezkii,"D.E.Boufford,Z.Y.Wang,T.S.Ying,C.J.Zhan",26408,19940602,河南省,1500,on dry slopes and ridges,,有花无果,https://image.cvh.ac.cn/files/l/PE/01893931.jpg,,,,,,,,,, +变叶葡萄,Vitis piasezkii,巴山采集队,1589,20080719,陕西省,2180,山坡路边灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850969.jpg,,,,,,,,,, +,Vitis romaneti,"刘金鉴,段俊喜",106,19620927,陕西省,1460,山谷 半阴处 疏林中 灌木丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01812260.jpg,,,,,,,,,, +,Vitis romaneti,,s.n.,19770516,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612252.jpg,,,,,,,,,, +,Vitis romaneti,W.C.Cheng,4394,19330528,江苏省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01608922.jpg,,,,,,,,,, +小叶葡萄,Vitis sinocinerea,谭策铭,93188,19930603,江西省,240,向北山坡阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629903.jpg,,,,,,,,,, +小叶葡萄,Vitis sinocinerea,刘标,1414,20050618,广西壮族自治区,900,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01612265.jpg,,,,,,,,,, +小叶葡萄,Vitis sinocinerea,萧百中,3593,20040608,湖南省,460,山沟水边花岗岩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612261.jpg,,,,,,,,,, +,Vulpia myuros,"黄建益,刘建华,叶大玮,赵淑枝",2611,20060729,台湾省,2710,"Mixed broadleaf forest and Picea,on gentle mountain ridge.",,有花无果,https://image.cvh.ac.cn/files/l/PE/02089899.jpg,,,,,,,,,, +,Vulpia myuros,Ayzik Solomeshch,s.n.,20040421,,20,High river terrace with open valley oak woodland.,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089384.jpg,,,,,,,,,, +蓝花参,Wahlenbergia marginata,"H.Li,S.X.Yang,R.Li etc.",909,20021108,云南省,2580,草本,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110409.jpg,,,,,,,,,, +蓝花参,Wahlenbergia marginata,川黔队,624,19560613,重庆市,400,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083474.jpg,,,,,,,,,, +蓝花参,Wahlenbergia marginata,Wen-feng Ho,744,19980218,台湾省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064255.jpg,,,,,,,,,, +二列瓦理棕,Wallichia disticha,陈三阳,659,19881030,云南省,500,林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1247975.jpg,,,,,,,,,, +二列瓦理棕,Wallichia disticha,青藏队,74-4548,19740826,西藏自治区,850,中山坡阔叶林下,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0364881.jpg,,,,,,,,,, +西藏割舌树,Walsura xizangensis,青藏队,74-4540,19740826,西藏自治区,800,山坡林内,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00022609.jpg,,,,,,,,,, +锦带花,Weigela florida,"王忠涛,曲上,徐连升",140390,20140617,河北省,1645,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037355.jpg,,,,,,,,,, +锦带花,Weigela florida,赤峰采集队,2-Z73,20080805,内蒙古自治区,,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02013039.jpg,,,,,,,,,, +锦带花,Weigela florida,龙茹等,90812004,20090812,湖北省,1250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989909.jpg,,,,,,,,,, +小叶水锦树,Wendlandia ligustrina,G.Forrest,25976,19241000,云南省,2333~2667,In open thickets in side valleys,,有花无果,https://image.cvh.ac.cn/files/l/PE/00839989.jpg,,,,,,,,,, +小叶水锦树,Wendlandia ligustrina,H.T.Tsai,56975,19340220,云南省 ,1550,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0512245.jpg,,,,,,,,,, +小叶水锦树,Wendlandia ligustrina,梁向日,717,19630228,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0522699.jpg,,,,,,,,,, +粗叶水锦树,Wendlandia scabra,北京队,890473,19890429,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02011979.jpg,,,,,,,,,, +粗叶水锦树,Wendlandia scabra,王洪,6480,20040402,云南省,1700,山坡次生林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01590837.jpg,,,,,,,,,, +粗叶水锦树,Wendlandia scabra,黔南队,363,19590408,贵州省,200,山脚 阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00852031.jpg,,,,,,,,,, +美丽水锦树,Wendlandia speciosa,"李渤生,程树志",2306,19821223,西藏自治区,1450,林边 次生林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495656.jpg,,,,,,,,,, +美丽水锦树,Wendlandia speciosa,青藏队,7151,19820610,云南省,1700~1800,山坡 路边 次生杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01173507.jpg,,,,,,,,,, +高山水锦树,Wendlandia subalpina,中甸队,2174,19620921,云南省,2000,河边 丘陵 崖石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00852056.jpg,,,,,,,,,, +高山水锦树,Wendlandia subalpina,G.Forrest,12617,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0522418.jpg,,,,,,,,,, +厚毛水锦树,Wendlandia tinctoria subsp. callitricha,刘慎谔,18382,19410321,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0522462.jpg,,,,,,,,,, +厚毛水锦树,Wendlandia tinctoria subsp. callitricha,侯宽昭,74311,19400203,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0522467.jpg,,,,,,,,,, +互生叶荛花,Wikstroemia alternifolia,N.Potanin,s.n.,18850724,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00025544.jpg,,,,,,,,,, +,Wikstroemia alternifolia,J. M. Delavay,4789,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00443794.jpg,,,,,,,,,, +荛花,Wikstroemia canescens,云台山采集队,168,20080922,河南省,,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022138.jpg,,,,,,,,,, +荛花,Wikstroemia canescens,F.Miyamoto et al.,9584011,19950719,,2420,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01923362.jpg,,,,,,,,,, +荛花,Wikstroemia canescens,陈艺林,84-19,19840821,江西省,,路边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879933.jpg,,,,,,,,,, +头序荛花,Wikstroemia capitata,黔北队,307,19590501,贵州省,880,半阴处山谷路旁潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598751.jpg,,,,,,,,,, +头序荛花,Wikstroemia capitata,Kun-Tsun Fu,4054,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01059734.jpg,,,,,,,,,, +河朔荛花,Wikstroemia chamaedaphne,周口店考察队,48,20080711,北京市,124,林下灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112091.jpg,,,,,,,,,, +河朔荛花,Wikstroemia chamaedaphne,黄河队,357,19540817,陕西省,,山坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081899.jpg,,,,,,,,,, +河朔荛花,Wikstroemia chamaedaphne,山西队,414,19540718,山西省,,山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067417.jpg,,,,,,,,,, +澜沧荛花,Wikstroemia delavayi,,14709,19760901,四川省,1600,向阳的灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598754.jpg,,,,,,,,,, +澜沧荛花,Wikstroemia delavayi,"刘恩德,向春雷,侬鑫",2711,20100813,云南省,2641,"Roadside,dry slope",,,https://image.cvh.ac.cn/files/l/KUN/1278118.jpg,,,,,,,,,, +,Wikstroemia dolichantha,K.M.Feng,10015,19460704,云南省,,on open dry hillside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598753.jpg,,,,,,,,,, +,Wikstroemia dolichantha,Y.Tsiang,12076,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01059897.jpg,,,,,,,,,, +,Wikstroemia haoii,方文培,4235,19280817,四川省,,at roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598764.jpg,,,,,,,,,, +,Wikstroemia haoii,Tsi-Tang Li.,482,19390000,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598763.jpg,,,,,,,,,, +武都荛花,Wikstroemia haoii,郭本兆,2036,1952-8 2,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0082419.jpg,,,,,,,,,, +了哥王,Wikstroemia indica,覃海宁 于胜祥 刘博 叶建飞 黄云峰,19551,20080424,广西壮族自治区,420,阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112380.jpg,,,,,,,,,, +了哥王,Wikstroemia indica,B.S.Wannan & K.Smith,4228,20060301,,660,flat area on deep granite sands vine thicket,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038297.jpg,,,,,,,,,, +丽江荛花,Wikstroemia lichiangensis,D.E.Boufford et al.,29580,20000720,西藏自治区,3240,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579801.jpg,,,,,,,,,, +丽江荛花,Wikstroemia lichiangensis,G.Forrest,5664,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01068155.jpg,,,,,,,,,, +丽江荛花,Wikstroemia lichiangensis,四川省植被调查队,2353,19730711,四川省,4000,山坡沟边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01068152.jpg,,,,,,,,,, +白蜡叶荛花,Wikstroemia ligustrina,汤宗孝,368,19820713,四川省,2900,石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01611310.jpg,,,,,,,,,, +白蜡叶荛花,Wikstroemia ligustrina,H.H.Hu,2273,19310000,江西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598816.jpg,,,,,,,,,, +白蜡叶荛花,Wikstroemia ligustrina,汪劲武等,36,19800717,山西省,1500,半山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598815.jpg,,,,,,,,,, +隆子荛花,Wikstroemia lungtzeensis,PE西藏队,PE5494,20170831,西藏自治区,3583,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330380.jpg,,,,,,,,,, +隆子荛花,Wikstroemia lungtzeensis,任,781056,19780625,西藏,3400,,,,https://image.cvh.ac.cn/files/l/BJFC/00012583.jpg,,,,,,,,,, +小黄构,Wikstroemia micrantha var. micrantha,田林普查队,4.51E+14,20130907,广西壮族自治区,988,阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI057169.jpg,,,,,,,,,, +革叶荛花,Wikstroemia scytophylla,青藏队植被组,8110,19760601,四川省,2500,山坡下部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538449.jpg,,,,,,,,,, +革叶荛花,Wikstroemia scytophylla,青藏科考队,11661,19760601,西藏自治区,2600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01068533.jpg,,,,,,,,,, +窄叶荛花,Wikstroemia stenophylla,,,19810717,云南省,1900,河谷山麓田边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072441.jpg,,,,,,,,,, +窄叶荛花,Wikstroemia stenophylla,横断山队植被组,4007,19830605,四川省,2200~2300,干旱河谷谷坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067836.jpg,,,,,,,,,, +窄叶荛花,Wikstroemia stenophylla,张志英,3303,19590604,甘肃省,1200,公路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598847.jpg,,,,,,,,,, +,Wikstroemia techinensis,T. T. Yu,8720,1937/7/24,,3400,,,,https://image.cvh.ac.cn/files/l/HUH/A00443803.jpg,,,,,,,,,, +,Wolffia globosa,Shiu Ying Hu,6117,19681102,香港,,Same collectina as Azolla,,无花无果,https://image.cvh.ac.cn/files/l/PE/01788665.jpg,,,,,,,,,, +圆球芜萍,Wolffia globosa,,,,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/000051475_2.jpg,,,,,,,,,, +无根萍,Wolffia globosa,李宏庆等,SDP03122,20110924,上海市,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0032941.jpg,,,,,,,,,, +,Wollastonia montana,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T291,20160918,西藏自治区,891,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233431.jpg,,,,,,,,,, +山蟛蜞菊,Wollastonia montana,平乐县普查队,450330180913026LY,20180913,广西,98,灌丛,路旁,黄棕壤,一般野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00413201.jpg,,,,,,,,,, +山蟛蜞菊,Wollastonia montana,凌云普查队,4.51E+14,20130712,广西壮族自治区,730,阔叶林,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI055775.jpg,,,,,,,,,, +个溥,Wrightia sikkimensis,覃海宁等,841,19980418,广西壮族自治区,850,山地,山坡,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009301.jpg,,,,,,,,,, +个溥,Wrightia sikkimensis,王洪,7222,20040630,云南省,850,河边林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01558164.jpg,,,,,,,,,, +个溥,Wrightia sikkimensis,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00999463.jpg,,,,,,,,,, +,Xanthium strumarium,科学院黄河队甘一队,2353,19560800,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081782.jpg,,,,,,,,,, +,Xanthium strumarium,Rebekah Mohn,9-13-14-28,20141013,,,growing beside Collins Creek in the shade of Lonicera maackii,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064278.jpg,,,,,,,,,, +,Xanthium strumarium,"陈又生,袁慊",141608,20140817,新疆维吾尔自治区,400,河边草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02037447.jpg,,,,,,,,,, +黄缨菊,Xanthopappus subacaulis,Anonymous,63,19790913,四川省,4200,草甸草坝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235124.jpg,,,,,,,,,, +黄缨菊,Xanthopappus subacaulis,"陈又生,袁慊,徐连升等",141023,20140728,内蒙古自治区,,山梁或山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084261.jpg,,,,,,,,,, +马松蒿,Xizangia serrata,"李渤生、倪志诚、程树志/B.S.Li,Z.C.Ni & S.Z.Cheng",6601,19830817,西藏自治区,3400,林缘山坡砾石地,草本,无花无果,https://image.cvh.ac.cn/files/l/PE/00031430.jpg,,,,,,,,,, +,Xylosma congesta,Chien-I Huang,2919,20061025,台湾省,150,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01879869.jpg,,,,,,,,,, +,Xylosma congesta,姜孝成,唐贵华等,SCSB-HNJ-0061,20060828,湖南,272,坡地,石山,灌木,,https://image.cvh.ac.cn/files/l/KUN/1249874.jpg,,,,,,,,,, +,Xylosma congesta,亚吉东、刘成、叶喜阳,15CS11155,20150829,浙江,62,栽培,乔木,,https://image.cvh.ac.cn/files/l/KUN/1321659.jpg,,,,,,,,,, +长叶柞木,Xylosma longifolium,C.W.Wang,81066,19361100,云南省,800,in thickets,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079771.jpg,,,,,,,,,, +长叶柞木,Xylosma longifolium,,Q2(5),19730800,广西壮族自治区,800,砂无岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01991092.jpg,,,,,,,,,, +黄谷精,Xyris capensis var. schoenoides,尹志坚等,2411,20090917,云南省,2850,alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01959137.jpg,,,,,,,,,, +黄谷精,Xyris capensis var. schoenoides,J.F.Moxwell,95-619,19950909,,1325,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01713065.jpg,,,,,,,,,, +黄谷精,Xyris capensis var. schoenoides,Ling Ying,444,19420629,福建省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0634944.jpg,,,,,,,,,, +察隅阴山荠,Yinshania zayuensis,周太炎等,650386,19650518,新疆维吾尔自治区,1100,阳性山坡贫脊荒草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01123471.jpg,,,,,,,,,, +察隅阴山荠,Yinshania zayuensis,C.W.Wang,65236,19350800,西藏自治区,2800,Among woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/01122418.jpg,,,,,,,,,, +察隅阴山荠,Yinshania zayuensis,K.M.Feng,6329,19400806,云南省,2600~2800,沟边杂林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01122417.jpg,,,,,,,,,, +,Youngia atripappa,FLPH Tibet Expedition,12-1814,20120919,西藏自治区,2300~3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967187.jpg,,,,,,,,,, +,Youngia atripappa,高信芬、朱章明、鞠文彬、金伟涛,13961,20110719,西藏,2906,勒布村边灌丛边,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0247050.jpg,,,,,,,,,, +,Youngia atripappa,,hgx13884,20131014,四川,,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0247680.jpg,,,,,,,,,, +尖裂黄鹌菜,Youngia cristata,王启无,65662,19350800,西藏自治区,3800,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01691132.jpg,,,,,,,,,, +,Youngia cristata,C. W. Wang,66121,Sep-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00052698.jpg,,,,,,,,,, +细裂黄鹌菜,Youngia diversifolia,"陈又生,袁慊",141412,20140809,新疆维吾尔自治区,2600,路边常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035463.jpg,,,,,,,,,, +细裂黄鹌菜,Youngia diversifolia,青藏队植被组,13013,19760716,西藏自治区,3750,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01690769.jpg,,,,,,,,,, +细裂黄鹌菜,Youngia diversifolia,,11038,19570814,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01690770.jpg,,,,,,,,,, +红果黄鹌菜,Youngia erythrocarpa,谭世金,76,20041005,贵州省,960,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056514.jpg,,,,,,,,,, +红果黄鹌菜,Youngia erythrocarpa,覃海宁等,884,19980427,广西壮族自治区,700,山地,山坡,石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997566.jpg,,,,,,,,,, +红果黄鹌菜,Youngia erythrocarpa,李振宇,11761,20090425,重庆市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989917.jpg,,,,,,,,,, +细梗黄鹌菜,Youngia gracilipes,陈又生,9499A,20090821,西藏自治区,4600,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052490.jpg,,,,,,,,,, +细梗黄鹌菜,Youngia gracilipes,"李馨,周继西",73707,19570721,四川省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01690847.jpg,,,,,,,,,, +黄鹌菜,Youngia japonica,张彩飞,955,20090000,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247691.jpg,,,,,,,,,, +黄鹌菜,Youngia japonica,Li Heng et al,27786,20050818,云南省,1170,in loam on granite,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235870.jpg,,,,,,,,,, +黄鹌菜,Youngia japonica,郭成勇,03046-9,20030701,山东省,500,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235139.jpg,,,,,,,,,, +羽裂黄鹌菜,Youngia paleacea,康藏植物考察队,10-2785,20100825,云南省,2962,山沟林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053088.jpg,,,,,,,,,, +羽裂黄鹌菜,Youngia paleacea,康藏植物考察队,10-2347,20100819,西藏自治区,2738~2780,山谷山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053089.jpg,,,,,,,,,, +,Youngia prattii,陈又生,9613,20090826,四川省,2900,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052492.jpg,,,,,,,,,, +,Youngia prattii,"陈又生,王泽欢",9060,20090721,云南省,2800,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052203.jpg,,,,,,,,,, +,Youngia prattii,"陈又生,王泽欢",9316,20090807,西藏自治区,3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052204.jpg,,,,,,,,,, +总序黄鹌菜,Youngia racemifera,康藏植物考察队,10-3277,20100903,云南省,3650,林缘,,,https://image.cvh.ac.cn/files/l/PE/02053740.jpg,,,,,,,,,, +总序黄鹌菜,Youngia racemifera,陈又生,9523,20090822,四川省,3716,土坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052495.jpg,,,,,,,,,, +总序黄鹌菜,Youngia racemifera,"陈又生,王泽欢",9330,20090808,西藏自治区,2800~3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052486.jpg,,,,,,,,,, +绢毛黄鹌菜,Youngia sericea,青藏队,73-273,19730621,西藏自治区,3300,砂砾山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01691443.jpg,,,,,,,,,, +,Youngia sericea,C. W. Wang,66254,Sep-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00052697.jpg,,,,,,,,,, +无茎黄鹌菜,Youngia simulatrix,康藏植物考察队,10-1375,20100805,西藏自治区,3904,河谷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052878.jpg,,,,,,,,,, +无茎黄鹌菜,Youngia simulatrix,"郭本兆,王为义",12100,19750823,青海省,3100,河滩沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797476.jpg,,,,,,,,,, +无茎黄鹌菜,Youngia simulatrix,"王庆瑞,晏民生",10961,19820911,甘肃省,3500,滩地草场,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797475.jpg,,,,,,,,,, +叉枝黄鹌菜,Youngia tenuicaulis,"陈又生,袁慊",141573,20140816,新疆维吾尔自治区,2036,石砾草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02065008.jpg,,,,,,,,,, +叉枝黄鹌菜,Youngia tenuicaulis,陈又生等,141040,20140729,内蒙古自治区,,荒漠砂石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02035995.jpg,,,,,,,,,, +细叶黄鹌菜,Youngia tenuifolia,郑继业,XM270-3,20150807,内蒙古自治区,1115~923,石山及山下草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114748.jpg,,,,,,,,,, +细叶黄鹌菜,Youngia tenuifolia,S.V.Smirnov et al.,SRAE2007865,20070725,新疆维吾尔自治区,1465~2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016481.jpg,,,,,,,,,, +细叶黄鹌菜,Youngia tenuifolia,北京队,890959,19890509,广西壮族自治区,700,山沟林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997543.jpg,,,,,,,,,, +,Youngia wilsonii,彭玉兰,356,20100724,四川,1945,路边坡地,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0247043.jpg,,,,,,,,,, +高山丫蕊花,Ypsilandra alpina,PE西藏考察队,7898,20180626,西藏自治区,3081~3206,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02331840.jpg,,,,,,,,,, +高山丫蕊花,Ypsilandra alpina,C.W.Wang,67111,19351000,云南省,2700,in meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/00593850.jpg,,,,,,,,,, +云南丫蕊花,Ypsilandra yunnanensis,北京植物所 横断山队,1534,19810713,云南省,3600,高山 草甸及沼泽草甸中常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555552.jpg,,,,,,,,,, +云南丫蕊花,Ypsilandra yunnanensis,"应俊生,洪德元",650829,19650802,西藏自治区,4170,高山灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00622535.jpg,,,,,,,,,, +俞藤,Yua thomsonii var. thomsonii,田林普查队,4.51E+14,20130719,广西壮族自治区,1496,阔叶林,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI063689.jpg,,,,,,,,,, +滇藏玉兰,Yulania campbellii,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201282,20200726,西藏,2309,农田边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1504592.jpg,,,,,,,,,, +光叶玉兰,Yulania dawsoniana,张卢水、陈春林、李家亮,SUZLS02101,20180514,四川,2087,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1561627.jpg,,,,,,,,,, +短锥玉山竹,Yushania brevipaniculata,蔡兆明,CZM024,20100711,四川省,2399,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1231781.jpg,,,,,,,,,, +短锥玉山竹,Yushania brevipaniculata,杜大华等,19,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00117488.jpg,,,,,,,,,, +鄂西玉山竹,Yushania confusa,北京队,2626,19880707,湖南省,1400~1500,常绿落叶混交林下沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851836.jpg,,,,,,,,,, +鄂西玉山竹,Yushania confusa,蔡兆明,CZM021,20100710,四川省,1416,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1231768.jpg,,,,,,,,,, +鄂西玉山竹,Yushania confusa,邢吉庆,6591,19590609,陕西省,1460,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00116170.jpg,,,,,,,,,, +波柄玉山竹,Yushania crispata,赵清盛,刘建生,5224,19780608,四川省,2450,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00117524.jpg,,,,,,,,,, +,Yushania farcticaulis,张宪智,ZXZ11025,20110516,云南省,2420,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252996.jpg,,,,,,,,,, +亚东玉山竹,Yushania yadongensis,高连明,马朋飞,蔡兆明,10067,20100524,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1233532.jpg,,,,,,,,,, +南方六道木,Zabelia dielsii,姚淦,1120,19890603,西藏自治区,2450,山坡林下,shrub,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00007519.jpg,,,,,,,,,, +南方六道木,Zabelia dielsii,秦岭植物资源调查队,486,20160802,陕西省,1100~1365,山路旁,溪边,落叶灌木,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00598874.jpg,,,,,,,,,, +南方六道木,Zabelia dielsii,叶喜阳,La08053,20080630,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0109206.jpg,,,,,,,,,, +,Zabelia triflora,王启无,70359,19350900,云南省 ,2700,mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00580189.jpg,,,,,,,,,, +醉鱼草状六道木,Zabelia triflora,朱鑫鑫、陈彬、沈彬、宋以刚,CSH06700,20140729,四川,3229.56,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0037542.jpg,,,,,,,,,, +,Zabelia triflora,"Forrest, George",12636,14-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00065181.jpg,,,,,,,,,, +,Zannichellia palustris,青藏队植被组,9130,19760720,西藏自治区,3800,浅水生长水深40cm,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076441.jpg,,,,,,,,,, +,Zannichellia palustris,D.E.Boufford et al.,39374,20070810,四川省,3715,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950084.jpg,,,,,,,,,, +,Zannichellia palustris,Daniel B.Marcum,s.n.,20070725,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01849213.jpg,,,,,,,,,, +青海角果藻,Zannichellia qinghaiensis,陈耀东、倪瑞生,442,19820903,青海省,3245,水中,草本,无花无果,https://image.cvh.ac.cn/files/l/PE/01473085.jpg,,,,,,,,,, +,Zanthoxylum acanthopodium,"李渤生,李辉",14184,19901010,西藏自治区,2400~2600,常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01803435.jpg,,,,,,,,,, +,Zanthoxylum acanthopodium,"李延辉,禹平华",20566,19771018,云南省,1950,山坡杂木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01641986.jpg,,,,,,,,,, +竹叶花椒,Zanthoxylum armatum,徐洪贵,51,19950422,四川省,810,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02249861.jpg,,,,,,,,,, +竹叶花椒,Zanthoxylum armatum,,2349,19590600,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02249859.jpg,,,,,,,,,, +竹叶花椒,Zanthoxylum armatum,俞中仁,1554,19640725,江西省,,紫色页岩山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02249860.jpg,,,,,,,,,, +花椒,Zanthoxylum bungeanum,PE西藏队,PE6081,20170906,西藏自治区,2935,山谷林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330325.jpg,,,,,,,,,, +花椒,Zanthoxylum bungeanum,王文杰,HMS-BUCM-HKBU-166a01,20090423,河北省,391,阳坡 农作物 壤土,,有花有果,https://image.cvh.ac.cn/files/l/PE/02040731.jpg,,,,,,,,,, +,Zanthoxylum dimorphophyllum,邱炳云,55425,19571114,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02248006.jpg,,,,,,,,,, +,Zanthoxylum dimorphophyllum,荔波队,1520,19890806,贵州省,,阴处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01821186.jpg,,,,,,,,,, +,Zanthoxylum dimorphophyllum,D.E.Boufford et al.,37713,20070512,甘肃省,1100~810,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01814861.jpg,,,,,,,,,, +蚬壳花椒,Zanthoxylum dissitum var. dissitum,凌云普查队,4.51E+14,20130317,广西壮族自治区,1440,阔叶林,阴坡,黄棕壤,乔木,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI055665.jpg,,,,,,,,,, +砚壳花椒(原变种),Zanthoxylum dissitum var. dissitum,兴安县普查队,450325131202001LY ,20131202,广西,456,阔叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0110441.jpg,,,,,,,,,, +贵州花椒,Zanthoxylum esquirolii,红水河植物考察队,2306,19890620,云南省,1800,石灰岩山坡灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01998459.jpg,,,,,,,,,, +贵州花椒,Zanthoxylum esquirolii,C.S.Chang et al.,SI1145,20100704,四川省,1663,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01924937.jpg,,,,,,,,,, +贵州花椒,Zanthoxylum esquirolii,安明态,3651,20030719,贵州省,820,沟谷杂木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710039.jpg,,,,,,,,,, +大花花椒,Zanthoxylum macranthum,邓云飞等,10228,19970416,湖南省,1270,山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629423.jpg,,,,,,,,,, +大花花椒,Zanthoxylum macranthum,"李渤生,程树志",1050,19820924,西藏自治区,2250,林边 沟谷 次生林中偶见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495112.jpg,,,,,,,,,, +大花花椒,Zanthoxylum macranthum,Chin-Sung Chang et al.,S10356,20040912,四川省,2809,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00782508.jpg,,,,,,,,,, +墨脱花椒,Zanthoxylum motuoense,青藏队植被组,3109,19740907,西藏自治区,1100,山坡 凹地,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/01491041.jpg,,,,,,,,,, +墨脱花椒,Zanthoxylum motuoense,"郭永杰, 王雨华, 杨立新, 李姗",18CS16895,20180510,西藏,1194,村边山坡,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484936.jpg,,,,,,,,,, +两面针,Zanthoxylum nitidum var. nitidum,田林普查队,4.51E+14,20130428,广西壮族自治区,430,阔叶林,林缘,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI055687.jpg,,,,,,,,,, +两面针(原变种),Zanthoxylum nitidum var. nitidum,白洪兵、和旭,533324180519307LY,20180519,云南,2565,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009745.jpg,,,,,,,,,, +尖叶花椒,Zanthoxylum oxyphyllum,PE西藏队,PE6275,20170911,西藏自治区,2445,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330332.jpg,,,,,,,,,, +尖叶花椒,Zanthoxylum oxyphyllum,王利松,4117,20020623,云南省,2600,山坡沟边,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922691.jpg,,,,,,,,,, +尖叶花椒,Zanthoxylum oxyphyllum,B.Bartholomew,1657,19840512,,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01692646.jpg,,,,,,,,,, +川陕花椒,Zanthoxylum piasezkii,"李良千,王忠涛,杜玉芬,卫然",125,20110904,甘肃省,,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914031.jpg,,,,,,,,,, +川陕花椒,Zanthoxylum piasezkii,廉永善等,96233,19960804,陕西省,700,石山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01710051.jpg,,,,,,,,,, +微柔毛花椒,Zanthoxylum pilosulum,李馨,70550,19570509,四川省,2600,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00722347.jpg,,,,,,,,,, +微柔毛花椒,Zanthoxylum pilosulum,"熊济华,周子林",93650,19570922,重庆市,850,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00722324.jpg,,,,,,,,,, +青花椒,Zanthoxylum schinifolium,Pi-Fong Lu,17126,20081024,台湾省,1600~2150,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01880012.jpg,,,,,,,,,, +青花椒,Zanthoxylum schinifolium,黄河调查队,200,19560000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851867.jpg,,,,,,,,,, +青花椒,Zanthoxylum schinifolium,谭策铭,95295,19950708,江西省,40,山坡马尾松林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01833728.jpg,,,,,,,,,, +毡毛花椒,Zanthoxylum tomentellum,,24624,19240000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00723498.jpg,,,,,,,,,, +毡毛花椒,Zanthoxylum tomentellum,G.Sengupta,1853,19650831,,2000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0412307.jpg,,,,,,,,,, +毡毛花椒,Zanthoxylum tomentellum,C.W.Wang,66857,19351000,云南省 ,3000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0412306.jpg,,,,,,,,,, +,Zehneria bodinieri,"于胜祥,张晓霞,王春海等",SD20140924328,20140924,山东省,59,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064366.jpg,,,,,,,,,, +,Zehneria bodinieri,金佛山考察队,2489,19860909,贵州省,1000,杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010489.jpg,,,,,,,,,, +,Zehneria bodinieri,王洪,6914,20031018,云南省,950,次生林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02010440.jpg,,,,,,,,,, +,Zehneria japonica,王晖,902166,20090204,广东省,30,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010534.jpg,,,,,,,,,, +,Zehneria japonica,"蓼国藩,郭志芬",309,19781009,湖南省,400,农田边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02010488.jpg,,,,,,,,,, +,Zehneria japonica,马玖,112,20090108,云南省,585,曼安次生林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/02010481.jpg,,,,,,,,,, +榉树,Zelkova serrata,甘启良,2338,20070702,湖北省,700,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059802.jpg,,,,,,,,,, +榉树,Zelkova serrata,Taku Miyazaki,805204,20080522,,150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039846.jpg,,,,,,,,,, +榉树,Zelkova serrata,陈家瑞,93072,19931106,云南省,1000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01962292.jpg,,,,,,,,,, +大果榉,Zelkova sinica,云台山采集队,1227,20090800,河南省,1000~1100,路边空地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036557.jpg,,,,,,,,,, +大果榉,Zelkova sinica,秦岺队,510,19580710,陕西省,850,村旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01811392.jpg,,,,,,,,,, +大果榉,Zelkova sinica,S.Davis et al.,81-279,19810428,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01725696.jpg,,,,,,,,,, +阳荷,Zingiber striolatum,北京队,893014,19891115,广西壮族自治区,,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018477.jpg,,,,,,,,,, +阳荷,Zingiber striolatum,王映明,6547,19880918,湖北省,1330,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803409.jpg,,,,,,,,,, +阳荷,Zingiber striolatum,刘金魁,335,20031201,湖南省,500,山沟灌木林下山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01790368.jpg,,,,,,,,,, +百日菊,Zinnia elegans,张彩飞,3267,20120723,北京市,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02247495.jpg,,,,,,,,,, +百日菊,Zinnia elegans,"刘正宇,张军等",RQHZ06105,20150822,重庆市,1096,黄壤 荒地草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115337.jpg,,,,,,,,,, +百日菊,Zinnia elegans,郭成勇,20061-332-4,20060817,山东省,400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912760.jpg,,,,,,,,,, +南疆新塔花,Ziziphora pamiroalaica,"亚吉东, 张桥蓉, 胡枭剑, 阿依丁",17CS16562,20170716,新疆,1589,干旱石质山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1456492.jpg,,,,,,,,,, +南疆新塔花,Ziziphora pamiroalaica,新疆采集队,2124,1978/7/29,新疆维吾尔族自治区,2900,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0337189.jpg,,,,,,,,,, +南疆新塔花,Ziziphora pamiroalaica,,73-158,73.06.20,新疆维吾尔自治区 ,2700,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00033645.jpg,,,,,,,,,, +印度枣,Ziziphus incurva,"唐宇丹,林秦文",2010-128,20100924,西藏自治区,1908,南北向河谷 东坡河边 沙石和棕色土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039489.jpg,,,,,,,,,, +印度枣,Ziziphus incurva,北京队,893186,19891115,广西壮族自治区,,河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999586.jpg,,,,,,,,,, +酸枣,Ziziphus jujuba var. spinosa,陈全胜,CF12-4247,20180703,内蒙古自治区,608,杂类草草原,,无花有果,https://image.cvh.ac.cn/files/l/PE/02246705.jpg,,,,,,,,,, +酸枣,Ziziphus jujuba var. spinosa,"刘彬彬,刘广宁",3995,20180728,北京市,,"in the valley,on the slopes of broadleaved deciduous forest",,无花有果,https://image.cvh.ac.cn/files/l/PE/02234038.jpg,,,,,,,,,, +酸枣,Ziziphus jujuba var. spinosa,"石硕,梁文达",SZ4103,20140907,河北省,324,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02063868.jpg,,,,,,,,,, +大果枣,Ziziphus mairei,青藏队植被组,8318,19760609,云南省,2150,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839761.jpg,,,,,,,,,, +大果枣,Ziziphus mairei,刘慎谔,13723,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0405781.jpg,,,,,,,,,, +山枣,Ziziphus montana,D.E.Boufford et al.,42206,20100723,四川省,2710,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923331.jpg,,,,,,,,,, +山枣,Ziziphus montana,徐朗然,262,19820610,西藏自治区,2300,河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01637297.jpg,,,,,,,,,, +山枣,Ziziphus montana,K.M.Feng,9237,19420903,云南省,2000,路边灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01637291.jpg,,,,,,,,,, +蜀枣,Ziziphus xiangchengensis,横断山植物组,4753,19830801,四川省,2750,干旱河谷灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045231.jpg,,,,,,,,,, +蜀枣,Ziziphus xiangchengensis,余奇,郑臣臣,苏翠萍,胡苏,CIBYQ013,20180731,四川,2546,,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1502001.jpg,,,,,,,,,, +斜对叶,Zornia gibbosa,刘心祈,27794,19360829,海南省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0199515.jpg,,,,,,,,,, +斜对叶,Zornia gibbosa,岳俊三等,1717,19620810,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0199521.jpg,,,,,,,,,, +,Zygophyllum kaschgaricum,中国科学院新疆综合考察队,9763,19590621,新疆维吾尔自治区,2300,山间的冲积堆上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102101.jpg,,,,,,,,,, +,Zygophyllum kaschgaricum,K.M.Liou,5824,19360711,青海省,1160,petit arbrisseau,,有花有果,https://image.cvh.ac.cn/files/l/PE/00973231.jpg,,,,,,,,,, +粗茎驼蹄瓣,Zygophyllum loczyi,,新准0011,19590417,新疆维吾尔自治区,,半固定沙地前平地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101173.jpg,,,,,,,,,, +粗茎驼蹄瓣,Zygophyllum loczyi,"郭本兆,王为义",11728,19750728,青海省,3000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00973241.jpg,,,,,,,,,, +粗茎驼蹄瓣,Zygophyllum loczyi,新疆采集队,5,19780515,甘肃省,,戈壁滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/00973239.jpg,,,,,,,,,, +长梗驼蹄瓣,Zygophyllum obliquum,"李渤生,郑度,张百平",10425,19870707,新疆维吾尔自治区,3200,山坡 荒漠中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01386167.jpg,,,,,,,,,, +,Zygophyllum obliquum,黄文娟,段黄金等,LiZJ0354,20080906,新疆,3270,山脚下,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1246282.jpg,,,,,,,,,, +长梗驼蹄瓣,Zygophyllum obliquum,白守信,16,1959/6/2,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0288759.jpg,,,,,,,,,, +,Abelia buddleioides,,,,,,,,,,,,,,,,,,, +,Abelia forrestii,,,,,,,,,,,,,,,,,,, +,Abies balsamea,P.F.Maycock,8768,19661009,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01816542.jpg,,,,,,,,,, +,Abies balsamea,"李渤生,程树志",2065,19821207,西藏自治区,3100~3300,阴坡针叶林上带优势种,,无花无果,https://image.cvh.ac.cn/files/l/PE/00003117.jpg,,,,,,,,,, +胶冷杉,Abies balsamea,Janet Wrestler,s.n.,"July 28,1988",-,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0009976.jpg,,,,,,,,,, +察隅冷杉,Abies chayuensis,"李渤生,程树志,倪志诚",7258,19830902,西藏自治区,3800,山坡阳坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073443.jpg,,,,,,,,,, +,Abies chayuensis,高信芬、涂卫国、何海、乔永康,7107,20030907,西藏,3750,路边灌丛,稀疏树木,乔木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0187977.jpg,,,,,,,,,, +苍山冷杉,Abies delavayi,Chow et Chang,22161,1957.6.16.,四川省,3400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0010050.jpg,,,,,,,,,, +苍山冷杉,Abies delavayi,W.Y.C,4201,19220905,湖北省,0~3400,,,无花无果,https://image.cvh.ac.cn/files/l/N/906008071.jpg,,,,,,,,,, +苍山冷杉,Abies delavayi,汪发缵,8406,,云南省 ,0,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0140151.jpg,,,,,,,,,, +墨脱冷杉,Abies delavayi var. motuoensis,"李渤生,程树志",5309,19830703,西藏自治区,2500~4000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073442.jpg,,,,,,,,,, +墨脱冷杉,Abies delavayi var. motuoensis,张宪春,Feb-49,20060612,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01458092.jpg,,,,,,,,,, +墨脱冷杉,Abies delavayi var. motuoensis,,7,,西藏,,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF1000133.jpg,,,,,,,,,, +,Abies densa,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00003146.jpg,,,,,,,,,, +,Abies densa,姜恕,2933,19610523,四川省,3060,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00058249.jpg,,,,,,,,,, +,Abies densa,张宪春,5234,20081022,西藏自治区,3150,针叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01963433.jpg,,,,,,,,,, +黄果冷杉,Abies ernestii,,21672,19551123,,3200,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00006727.jpg,,,,,,,,,, +,Abies ernestii,冯自诚,281,19800709,甘肃省,2740,沟谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/00207170.jpg,,,,,,,,,, +,Abies ernestii,贺贤育,20490,,浙江,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00632874.jpg,,,,,,,,,, +,Abies ernestii var. salouenensis,E.H.Wilson,2090,,四川; Sichuan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00001133.jpg,,,,,,,,,, +,Abies ernestii var. salouenensis,青藏队,11566,19830626,四川省,2450,山坡 孤立树,,无花有果,https://image.cvh.ac.cn/files/l/PE/01057071.jpg,,,,,,,,,, +,Abies ernestii var. salouenensis,北京所横断山队,1122,19810626,云南省,3000,铁杉林带内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044037.jpg,,,,,,,,,, +中甸冷杉,Abies ferreana,青藏队植被组,8270,19760607,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00043223.jpg,,,,,,,,,, +,Abies ferreana,,,,,,,,,,,,,,,,,,, +中甸冷杉,Abies ferreana,林型组,95,19550000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00005245.jpg,,,,,,,,,, +,Abies fordei,,,,,,,,,,,,,,,,,,, +川滇冷杉,Abies forrestii,"唐宇丹,林秦文",2010-112,20100919,西藏自治区,3608,东西向沟谷南坡 潮湿 腐殖土生长,,有花无果,https://image.cvh.ac.cn/files/l/PE/02041082.jpg,,,,,,,,,, +川滇冷杉,Abies forrestii,J.F.Rock,17847,29-Jul,四川; Sichuan,220,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00001160.jpg,,,,,,,,,, +云南冷杉、毛枝冷杉,Abies forrestii,,,1955,四川、云南,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00000108.jpg,,,,,,,,,, +长苞冷杉,Abies georgei,李光照,15476,19970910,广西壮族自治区,2400,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00037946.jpg,,,,,,,,,, +长苞冷杉,Abies georgei,宋滋圃,38671,1954/6/21,四川,3225,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0175467.jpg,,,,,,,,,, +长苞冷杉,Abies georgei,孔宪需,3889,,,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00004460.jpg,,,,,,,,,, +急尖长苞冷杉,Abies georgei var. smithii,"亚吉东, 陈智发, 陈小灵",LJBG0020,20141009,云南,3772,无底湖边 冷杉林下,乔木,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/1451865.jpg,,,,,,,,,, +急尖长苞冷杉,Abies georgei var. smithii,"李渤生,程树志",612,19820904,西藏自治区,3150~3700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073238.jpg,,,,,,,,,, +急尖长苞冷杉,Abies georgei var. smithii,罗建,汪书丽,LiuJQ-11XZ-233,20110922,西藏,3967,温带针叶林,乔木,,https://image.cvh.ac.cn/files/l/KUN/1404879.jpg,,,,,,,,,, +紫果冷杉,Abies recurvata,余岩、任婷,2023409,20190815,四川,3311,路边,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02023409.jpg,,,,,,,,,, +紫果冷杉,Abies recurvata,四川省植被调查队,3954,19730920,西藏自治区,3900,森林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00004493.jpg,,,,,,,,,, +紫果冷杉,Abies recurvata,刘翔,2050101,20050514,云南省,2860,山地针叶林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0010762.jpg,,,,,,,,,, +西藏冷杉,Abies spectabilis,韩裕丰等,81-1287,19750714,云南省,3100,高山松混生,,无花有果,https://image.cvh.ac.cn/files/l/PE/00206542.jpg,,,,,,,,,, +西藏冷杉,Abies spectabilis,郭本兆,23851,197705??,江西省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/64684.jpg,,,,,,,,,, +西藏冷杉,Abies spectabilis,"李渤生,李辉",14238,19901013,西藏自治区,3300~3400,亚高山针叶林优势种,,无花有果,https://image.cvh.ac.cn/files/l/PE/02084021.jpg,,,,,,,,,, +鳞皮冷杉,Abies squamata,何善宝,351,1958.9.22.,陕西省,1900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0010301.jpg,,,,,,,,,, +鳞皮冷杉,Abies squamata,"陈伟烈,陈家瑞,郭柯等",6798,19840625,四川省,3400,铁杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046162.jpg,,,,,,,,,, +鳞皮冷杉,Abies squamata,C.W.Yao,1444,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00083501.jpg,,,,,,,,,, +,Abutilon paniculatum,,,,,,,,,,,,,,,,,,, +窄果脆兰,Acampe ochracea,王启无,76991,19350000,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0623435.jpg,,,,,,,,,, +,Acampe ochracea,C.W.Wang,s.n.,,云南省,1100,ravine mixed woods,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850547.jpg,,,,,,,,,, +窄果脆兰,Acampe ochracea,李剑武,3021,20130416,云南,1150,石灰山,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028329.jpg,,,,,,,,,, +,Acampe praemorsa,,,,,,,,,,,,,,,,,,, +多花脆兰,Acampe rigida,张久磊,522325190614352LY,20190614,贵州,1438,灌丛、中生、阳性、中温、野生酸性土植物,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0095916.jpg,,,,,,,,,, +多花脆兰,Acampe rigida,曾宪锋,ZXF36953,20180412,福建,417,山地,多年生直立草本,无花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0032232.jpg,,,,,,,,,, +多花脆兰,Acampe rigida,陈念劬,43815,19320909,海南岛,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00144598.jpg,,,,,,,,,, +锥囊坛花兰,Acanthephippium striatum,方鼎,21341,19670521,,850,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI047730.jpg,,,,,,,,,, +锥囊坛花兰,Acanthephippium striatum,覃海宁等,526,19980413,广西壮族自治区,550,山谷,密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997696.jpg,,,,,,,,,, +锥囊坛花兰,Acanthephippium striatum,生态室高原组,11119,19800716,西藏自治区,1400,常绿林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526185.jpg,,,,,,,,,, +坛花兰,Acanthephippium sylhetense,吉占和,198,19830407,云南省,700,沟谷雨林内,密林中排水良好的山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850531.jpg,,,,,,,,,, +坛花兰,Acanthephippium sylhetense,德保县普查队,451024170606002LY,20170606,广西壮族自治区,922,阔叶林,林下,黄棕壤,偶见野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00411147.jpg,,,,,,,,,, +坛花兰,Acanthephippium sylhetense,李剑武,3480,20130717,云南,1200,沟谷林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028489.jpg,,,,,,,,,, +芒苞草,Acanthochlamys bracteata,,青037,19760615,青海省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0359189.jpg,,,,,,,,,, +芒苞草,Acanthochlamys bracteata,新疆考察队,6955,19580803,新疆维吾尔自治区,1825,石山,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0359181.jpg,,,,,,,,,, +芒苞草,Acanthochlamys bracteata,,52043,19560811,云南省,0,栽培,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0358139.jpg,,,,,,,,,, +乌恰彩花,Acantholimon popovii,"李渤生,郑度,张百明",10035,19870617,新疆维吾尔自治区,2180,第三河沙岩上所见 局部优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345157.jpg,,,,,,,,,, +乌恰彩花,Acantholimon popovii,塔里木大学资源调查组,239,20060727,新疆,2843米,石质山坡,草本,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU01109.jpg,,,,,,,,,, +怒江槭,Acer chienii,冯国楣,7526,,云南省 ,0,,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0190544.jpg,,,,,,,,,, +怒江槭,Acer chienii,C.R.Feng,26729,19330306,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00022887.jpg,,,,,,,,,, +怒江槭,Acer chienii,青藏队,8566,19820725,云南省,3000,Abies林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01128413.jpg,,,,,,,,,, +丽江槭,Acer forrestii,空,2106,空,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0002036.jpg,,,,,,,,,, +丽江槭,Acer forrestii,"秦,王,田,段",115,19551016,陕西省,,山坡 (北缓)阴处 疏林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01470636.jpg,,,,,,,,,, +丽江槭,Acer forrestii,,34,19750821,西藏,,灌木林中,,无花有果,https://image.cvh.ac.cn/files/l/SM/SM710000331.jpg,,,,,,,,,, +黄毛枫,Acer fulvescens,洵阳分队,868,1959/7/12,陕西,750,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0184679.jpg,,,,,,,,,, +,Acer fulvescens,刘继孟,10414,19510810,甘肃省,1640,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00023338.jpg,,,,,,,,,, +黄毛槭,Acer fulvescens,"刘金鉴,段俊喜",262,19621024,陕西省,1150,山坡 山谷阴处 西北坡向 密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01470639.jpg,,,,,,,,,, +少果槭,Acer oligocarpum,青藏队植被组,3063,19740903,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839774.jpg,,,,,,,,,, +少果槭,Acer oligocarpum,陈伟烈,Y0451,19781115,云南省,2000,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01486881.jpg,,,,,,,,,, +少果槭,Acer oligocarpum,王作宾,18825,19640404,甘肃省,860,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/56387.jpg,,,,,,,,,, +五小叶槭,Acer pentaphyllum,俞德俊,6711,,云南省 ,2300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0416046.jpg,,,,,,,,,, +五小叶槭,Acer pentaphyllum,T.T.Yu,6354,19370617,云南省,2500,among woods in valley,,有花有果,https://image.cvh.ac.cn/files/l/PE/00908657.jpg,,,,,,,,,, +五小叶槭,Acer pentaphyllum,俞德浚,6354,19370617,新缰,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/584739.jpg,,,,,,,,,, +,Acer pluridense,,,,,,,,,,,,,,,,,,, +察隅槭,Acer tibetense,FLPH Tibet Expedition,12-1181,,西藏自治区,,山谷河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01979929.jpg,,,,,,,,,, +察隅枫,Acer tibetense,张林、李星月、张晓严,2-369,20180618,西藏,2772,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023786.jpg,,,,,,,,,, +瘦果川甘槭,Acer yui,冯国楣,22162,19620424,云南省,1850,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0436882.jpg,,,,,,,,,, +瘦果川甘槭,Acer yui,T.N.Liou,18834,19410412,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0436883.jpg,,,,,,,,,, +川甘槭,Acer yui,T.T.Yu,2672,19331011,四川省,1950,Along river bank,Samll tree,无花有果,https://image.cvh.ac.cn/files/l/PE/00935398.jpg,,,,,,,,,, +展序芨芨草,Achnatherum brandisii,吴玉虎等,3797,19860726,青海省,2600,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/134317.jpg,,,,,,,,,, +,Achnatherum brandisii,青藏队,74-4643,19740912,西藏自治区,3000~3200,山坡,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02233224.jpg,,,,,,,,,, +,Achnatherum brandisii,黄河队,8987,19560925,甘肃省,1950,峪沟底,,有花有果,https://image.cvh.ac.cn/files/l/PE/00052534.jpg,,,,,,,,,, +细叶芨芨草,Achnatherum chingii,郭本兆,4697,19620725,陕西,2500,山坡 林缘,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0021360.jpg,,,,,,,,,, +细叶芨芨草,Achnatherum chingii,山西队,1869,19570726,山西省,,山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00052348.jpg,,,,,,,,,, +细叶芨芨草,Achnatherum chingii,黄河队,2881,19550929,山西,1200,山坡 湿处,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0076692.jpg,,,,,,,,,, +藏芨芨草,Achnatherum duthiei,郭本兆 王为义,23421A,19770905,西藏自治区,4200,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/68697.jpg,,,,,,,,,, +藏芨芨草,Achnatherum duthiei,,1034,0,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/234218.jpg,,,,,,,,,, +藏芨芨草,Achnatherum duthiei,C.S.Liu,1425,19340829,四川省,3700~4600,in the lake side,,有花有果,https://image.cvh.ac.cn/files/l/PE/00052433.jpg,,,,,,,,,, +,Achnatherum henryi,甘启良,2826,20080519,湖北省,1300,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01849875.jpg,,,,,,,,,, +湖北芨芨草,Achnatherum henryi,傅坤俊,3619,19420503,陕西,650,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0025385.jpg,,,,,,,,,, +湖北芨芨草,Achnatherum henryi,王作宾,14154,19510610,甘肃,2100,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0068560.jpg,,,,,,,,,, +异颖芨芨草,Achnatherum inaequiglume,汤宗孝,1510,19830725,四川省,1800,干旱河谷山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487087.jpg,,,,,,,,,, +,Achnatherum inaequiglume,周俭,579,19570924,四川,3400,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00040154.jpg,,,,,,,,,, +异颖芨芨草,Achnatherum inaequiglume,王富葆,,19751000,西藏自治区,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/019113471.jpg,,,,,,,,,, +醉马草,Achnatherum inebrians,李捷,154,19930709,甘肃省,2600,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088909.jpg,,,,,,,,,, +醉马草,Achnatherum inebrians,秦仁昌,354,1956-07-,新疆省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0097992.jpg,,,,,,,,,, +醉马草,Achnatherum inebrians,王作宾,13021,19420708,陕西省,2200,very conmon,,有花无果,https://image.cvh.ac.cn/files/l/KUN/234228.jpg,,,,,,,,,, +干生芨芨草,Achnatherum jacquemontii,青藏队植被组,8843,19760703,西藏自治区,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01469998.jpg,,,,,,,,,, +干生芨芨草,Achnatherum jacquemontii,任宪威,781085,19780000,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00003929.jpg,,,,,,,,,, +干生芨芨草,Achnatherum jacquemontii,岳伟、苏旭、王玉金,LiuJQ-252,20110926,四川省,0~3930,温带针叶林坡地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286911.jpg,,,,,,,,,, +光药芨芨草,Achnatherum psilantherum,青甘队,768,19590801,青海,3404,石山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0169564.jpg,,,,,,,,,, +光药芨芨草,Achnatherum psilantherum,王文中,3141,19540724,青海省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233320.jpg,,,,,,,,,, +光药芨芨草,Achnatherum psilantherum,王作宾,7078,19370706,甘肃,2500,路旁,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0025516.jpg,,,,,,,,,, +羽茅,Achnatherum sibiricum,何廷农,697,19890714,青海省,2200,河滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/00262133.jpg,,,,,,,,,, +羽茅,Achnatherum sibiricum,刘继孟,3250,19340815,河北,460,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0018085.jpg,,,,,,,,,, +羽茅,Achnatherum sibiricum,李馨,78219,1958/7/26,四川,2600,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0250998.jpg,,,,,,,,,, +冷杉林乌头,Aconitum abietetorum,钱家驹,639,19570802,吉林省,1500,路旁密林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/206093.jpg,,,,,,,,,, +冷杉林乌头,Aconitum abietetorum,李安仁等,10213,19590424,新疆,480,路旁,,有花无果,https://image.cvh.ac.cn/files/l/KUN/273278.jpg,,,,,,,,,, +冷杉林乌头,Aconitum abietetorum,陈照宙,52596,19581021,广西壮族自治区,0,山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/164367.jpg,,,,,,,,,, +,Aconitum bracteolatum,"Ludlow, Francis & Sherriff, George",509,1-Sep-33,,,,,,https://image.cvh.ac.cn/files/l/E/E00438669.jpg,,,,,,,,,, +短距乌头,Aconitum brevicalcaratum,,193,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/066315.jpg,,,,,,,,,, +短距乌头,Aconitum brevicalcaratum,北京横断山队,2044,19810727,云南省,3500~3700,亚高山草甸中湿地常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01993732.jpg,,,,,,,,,, +短距乌头,Aconitum brevicalcaratum,Musee Heude,,18890914,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00174501.jpg,,,,,,,,,, +,Aconitum brevilimbum,"Ludlow, Frank: Sherriff, George & Taylor, George",5937,25-Jul-37,,,,,,https://image.cvh.ac.cn/files/l/E/E00438670.jpg,,,,,,,,,, +乌头属,Aconitum brevilimbum,西藏生物所植物资源队,3719,19830823,西藏,4100,高山灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001603.jpg,,,,,,,,,, +褐紫乌头,Aconitum brunneum,尹鑫,吴航,葛文静,LiuJQ-GN-2011-201,20111004,甘肃,3738,高寒灌丛坡地,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230927.jpg,,,,,,,,,, +褐紫乌头,Aconitum brunneum,K.T.Fu,1564,19370823,甘肃省,3900,on hill slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/00243073.jpg,,,,,,,,,, +褐紫乌头,Aconitum brunneum,薛春迎,Xuechy0054,20080902,青海,2683,灌丛,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230931.jpg,,,,,,,,,, +弯喙乌头,Aconitum campylorrhynchum,J.F. Rock,18295,29-Sep,四川; SZECHWAN,4460,,攀援,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00095262.jpg,,,,,,,,,, +弯喙乌头,Aconitum campylorrhynchum,张昌兵,邓秀发,游明鸿,ZhangCB0411,20111019,四川,3472,灌丛山坡,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230933.jpg,,,,,,,,,, +弯喙乌头,Aconitum campylorrhynchum,,20-96-89,19800823,,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00054181.jpg,,,,,,,,,, +察瓦龙乌头,Aconitum changianum,"何铸,周子林",14007,19520000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00243355.jpg,,,,,,,,,, +,Aconitum changianum,C. W. Wang,65934,Aug-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038348.jpg,,,,,,,,,, +察瓦龙乌头,Aconitum changianum,王启无,65934,19350800,西藏自治区,3500,S-slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025163.jpg,,,,,,,,,, +察隅乌头,Aconitum chayuense,青藏队,10173,19820908,西藏自治区,3700,山沟灌丛草地,草本蔓生,有花无果,https://image.cvh.ac.cn/files/l/PE/00934589.jpg,,,,,,,,,, +腺毛加查乌头,Aconitum chiachaense,,1955,19760918,西藏自治区,4400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01956825.jpg,,,,,,,,,, +乌头属,Aconitum chiachaense,汪永泽,79010,19790719,西藏,3600,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001640.jpg,,,,,,,,,, +祈连山乌头,Aconitum chilienshanicum,河西队,404,19670819,甘肃省,3400,"水旁,草甸",,有花无果,https://image.cvh.ac.cn/files/l/PE/00243356.jpg,,,,,,,,,, +祁连山乌头,Aconitum chilienshanicum,不祥,1760,19620727,青海省,3900,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0219496.jpg,,,,,,,,,, +黄毛乌头,Aconitum chrysotrichum,D.E.Boufford et al.,34843,20050814,四川省,4460,Sandy areas,,有花无果,https://image.cvh.ac.cn/files/l/PE/01459385.jpg,,,,,,,,,, +黄毛乌头,Aconitum chrysotrichum,张大才,尹五元,李双智,丁文谦,何廷顺,侯雄辉,张明启,ZhangDC-07ZX-2170,20110918,四川,4039,高山灌丛,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230941.jpg,,,,,,,,,, +粗花乌头,Aconitum crassiflorum,张挺、郭永杰、吴之坤、姜虹、李贵能,16CS13627,20160826,四川,3888,公路边山坡,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1481431.jpg,,,,,,,,,, +,Aconitum crassiflorum,"Forrest, George",28788,,,,,,,https://image.cvh.ac.cn/files/l/E/E00133122.jpg,,,,,,,,,, +粗花乌头,Aconitum crassiflorum,关岭普查办,492,19851114,贵州省,1560,大山丛林中,草本,有花无果,https://image.cvh.ac.cn/files/l/GZTM/0009175.jpg,,,,,,,,,, +叉苞乌头,Aconitum creagromorphum,青藏队,74-2841,19740909,西藏自治区,4680,山坡草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00243425.jpg,,,,,,,,,, +,Aconitum creagromorphum,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13334,18-Oct-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00438655.jpg,,,,,,,,,, +迪庆乌头,Aconitum diqingense,万震东,1937,19880907,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/167988.jpg,,,,,,,,,, +迪庆乌头,Aconitum diqingense,方震东,1037,19880907,云南,4250,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1203764.jpg,,,,,,,,,, +长序乌头,Aconitum dolichostachyum,罗建等,LuoJian-ML091,20090930,西藏自治区,3211,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898399.jpg,,,,,,,,,, +长序乌头,Aconitum dolichostachyum,杨竞生,90-640,1990-09-,西藏省,3700,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081053.jpg,,,,,,,,,, +长序乌头,Aconitum dolichostachyum,罗建,汪书丽,任德智,LiuJQ-09XZ-ML091,20090930,西藏,3212,山坡灌丛,,花标本,https://image.cvh.ac.cn/files/l/KUN/1230943.jpg,,,,,,,,,, +墨脱乌头,Aconitum elliotii,"覃海宁,董仕勇,康云等",396,20010811,西藏自治区,3400,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993826.jpg,,,,,,,,,, +墨脱乌头,Aconitum elliotii,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2670,20090925,西藏,3880,高寒草甸,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230944.jpg,,,,,,,,,, +,Aconitum elliotii,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",14346,15-Aug-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00438649.jpg,,,,,,,,,, +镰形乌头,Aconitum falciforme,D.E.Boufford et al.,43169,20130822,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063115.jpg,,,,,,,,,, +镰形乌头,Aconitum falciforme,罗建,汪书丽,LiuJQ-11XZ-091,20110828,西藏,4243,温带山坡灌丛,,花标本,https://image.cvh.ac.cn/files/l/KUN/1230947.jpg,,,,,,,,,, +镰形乌头,Aconitum falciforme,罗建、汪书丽,LIUJQ091,20110828,西藏自治区,0~4245,山坡灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280503.jpg,,,,,,,,,, +丽江乌头,Aconitum forrestii,,,,,,,,有花有果,https://image.cvh.ac.cn/files/l/SZ/00054755.jpg,,,,,,,,,, +丽江乌头,Aconitum forrestii,武素功,3608,19591029,四川,2000,江边林边林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/109554.jpg,,,,,,,,,, +丽江乌头,Aconitum forrestii,,29,19511015,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/160511.jpg,,,,,,,,,, +大渡乌头,Aconitum franchetii,"川西队,关克俭,王文采等",580,19630730,四川省,4000,沟谷草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087927.jpg,,,,,,,,,, +,Aconitum franchetii,"Rock, Joseph Francis Charles",18289,29-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00133135.jpg,,,,,,,,,, +,Aconitum franchetii,彭玉兰、涂卫国、幸福,Gaoxf427,20080720,四川,3845,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0204888.jpg,,,,,,,,,, +长喙乌头,Aconitum georgei,"罗艳,陈又生",505b,20020824,云南省,2700,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865550.jpg,,,,,,,,,, +长喙乌头,Aconitum georgei,方震东,990447,19990629,云南,3270,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008985.jpg,,,,,,,,,, +,Aconitum georgei,"Forrest, George",15195,17-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00438747.jpg,,,,,,,,,, +无毛乌头,Aconitum glabrisepalum,"王利松,叶建飞",69,20090803,四川省,3600,山坡草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01993734.jpg,,,,,,,,,, +无毛乌头,Aconitum glabrisepalum,张挺,刘成,郭永杰等,10CS2426,20100912,四川,1000,山坡林下,,花标本,https://image.cvh.ac.cn/files/l/KUN/1230956.jpg,,,,,,,,,, +无毛乌头,Aconitum glabrisepalum,,49,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/066393.jpg,,,,,,,,,, +哈巴乌头,Aconitum habaense,中甸队,1346,19620825,云南省,3600,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025221.jpg,,,,,,,,,, +哈巴乌头,Aconitum habaense,中甸队,1346,19620825,云南,3600,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1203770.jpg,,,,,,,,,, +钩瓣乌头,Aconitum hamatipetalum,,852,19760824,四川省,0,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/109765.jpg,,,,,,,,,, +钩瓣乌头,Aconitum hamatipetalum,H.T.Tsai,54144,19330904,云南省,4500,on very cold mt.top,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00025225.jpg,,,,,,,,,, +,Aconitum hamatipetalum,河北普查队,5353,,,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00054421.jpg,,,,,,,,,, +缺刻乌头,Aconitum incisofidum,Q.E.Yang and Q.Yuan,24,20030812,云南省,4300,meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865497.jpg,,,,,,,,,, +缺刻乌头,Aconitum incisofidum,成都药检所,28,19670814,四川省,3000,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00308236.jpg,,,,,,,,,, +缺刻乌头,Aconitum incisofidum,George Forrest,28406,19300700,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00308229.jpg,,,,,,,,,, +滇北乌头,Aconitum iochanicum,青藏队,10109,19820908,西藏自治区,4000~4200,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00308247.jpg,,,,,,,,,, +滇北乌头,Aconitum iochanicum,杨常仁,7524,19750900,云南省,4100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00308246.jpg,,,,,,,,,, +滇北乌头,Aconitum iochanicum,郁文彬等,SCSB-W-1053,20080919,云南,2743,,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231243.jpg,,,,,,,,,, +吉隆乌头,Aconitum jilongense,李勃生 李辉 阳艺,13453,19900904,西藏自治区,3800,高山灌丛中时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934602.jpg,,,,,,,,,, +吉隆乌头,Aconitum jilongense,"张挺, 刘成, 亚吉东",18CS17689,20180916,西藏,3681,林缘路边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487363.jpg,,,,,,,,,, +工布乌头,Aconitum kongboense,罗建,汪书丽,LiuJQ-08XZ-137,20080730,西藏,3144,路边林缘,,花标本,https://image.cvh.ac.cn/files/l/KUN/1231249.jpg,,,,,,,,,, +多果工布乌头,Aconitum kongboense,杨竞生,83-407,19830826,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025261.jpg,,,,,,,,,, +工布乌头,Aconitum kongboense,赵佐成,689,19930920,四川省,3300,阳坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01993737.jpg,,,,,,,,,, +冕宁乌头,Aconitum legendrei,赵佐成,2100,19931004,四川省,2300,阳坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993748.jpg,,,,,,,,,, +冕宁乌头,Aconitum legendrei,盐边队,418,19780910,四川,3000,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM704600522.jpg,,,,,,,,,, +,Aconitum legendrei,"Legendre, A.F.",1459,1911/9/8,,,,,,https://image.cvh.ac.cn/files/l/P/P00201753.jpg,,,,,,,,,, +类乌齐乌头,Aconitum leiwuqiense,"D.E.Boufford,J.H.Chen,S.L.Kelley et all",31711,20040804,西藏自治区,4325~4435,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993829.jpg,,,,,,,,,, +贡嘎乌头,Aconitum liljestrandii,西藏中草药普查队,4059,19720717,西藏自治区,3500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/33123.jpg,,,,,,,,,, +贡嘎乌头,Aconitum liljestrandii,李馨,78161,1958/7/21,四川省 ,4500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0251132.jpg,,,,,,,,,, +贡嘎乌头,Aconitum liljestrandii,何业祺,4015,1959/7/9,甘肃 ,2550,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0389512.jpg,,,,,,,,,, +长裂乌头,Aconitum longilobum,夏光成 米泰康,781,19600819,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00025274.jpg,,,,,,,,,, +,Aconitum longilobum,张泽云、周洪富,23825,1957-08-,四川省,3400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081231.jpg,,,,,,,,,, +长梗乌头,Aconitum longipedicellatum,Tibet Expedition,9,19950922,西藏自治区,3795,山谷沟底路边小壁灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993842.jpg,,,,,,,,,, +长梗乌头,Aconitum longipedicellatum,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993841.jpg,,,,,,,,,, +,Aconitum longipetiolatum,PE西藏队,PE6492,20170912,西藏自治区,3588,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309280.jpg,,,,,,,,,, +江孜乌头,Aconitum ludlowii,PE西藏队,PE5349,20170828,西藏自治区,4019,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309287.jpg,,,,,,,,,, +江孜乌头,Aconitum ludlowii,毛康珊,任广朋,邹嘉宾,LiuJQ-QTP-2011-114,20110921,西藏,3852,温带山坡灌丛,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1231259.jpg,,,,,,,,,, +,Aconitum lycoctonifolium,K.M.Liou,3427,19340828,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00308661.jpg,,,,,,,,,, +牛扁叶乌头,Aconitum lycoctonifolium,李勃生 程树志,1280,19821013,西藏自治区,2650,铁杉林下 湿地偶见,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00025281.jpg,,,,,,,,,, +牛扁叶乌头,Aconitum lycoctonifolium,W.Y.Hsia,1446,19290000,山西省,1700,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00039334.jpg,,,,,,,,,, +米林乌头,Aconitum milinense,夏光成 米泰康,810,19600828,西藏自治区,3950,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025282.jpg,,,,,,,,,, +乌头属,Aconitum milinense,西藏生物所植物资源队,3623,19830818,西藏,3500-3800,冰缘灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001607.jpg,,,,,,,,,, +聂拉木乌头,Aconitum nielamuense,FLPH Tibet Expedition,12-0353,20120909,西藏自治区,3800~4200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01966626.jpg,,,,,,,,,, +垂花乌头,Aconitum nutantiflorum,王启无,65497,19350800,西藏自治区,2600,Under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025289.jpg,,,,,,,,,, +垂花乌头,Aconitum nutantiflorum,王启无,65498,1936/2/18,云南省,2600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0035692.jpg,,,,,,,,,, +,Aconitum nutantiflorum,C. W. Wang,65498,Aug-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038356.jpg,,,,,,,,,, +德钦乌头,Aconitum ouvrardianum,C.W.Wang,64787,19350708,云南省 ,3000,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00051014.jpg,,,,,,,,,, +德钦乌头,Aconitum ouvrardianum,崔友文,2306,19500000,河北,~,,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0090617.jpg,,,,,,,,,, +德钦乌头,Aconitum ouvrardianum,杨亲二,袁琼,YangQE2156,20080806,云南,4400,高山草甸,,花标本,https://image.cvh.ac.cn/files/l/KUN/1231270.jpg,,,,,,,,,, +疏叶乌头,Aconitum parcifolium,万震东,6316,19870819,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/167982.jpg,,,,,,,,,, +长距垂果乌头,Aconitum pendulicarpum,郎楷永 李勃生 李良千,3751,19810825,云南省,3800,冷杉林内灌丛草甸时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934614.jpg,,,,,,,,,, +,Aconitum pendulicarpum,C. W. Wang,66223,Sep-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00107310.jpg,,,,,,,,,, +垂果乌头,Aconitum pendulicarpum,王启无,66223,193509,四川省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/109376.jpg,,,,,,,,,, +木里乌头,Aconitum phyllostegium,木里,643,19780908,四川,3000,草地,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM704600542.jpg,,,,,,,,,, +,Aconitum phyllostegium,"Forrest, George",21419,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00133134.jpg,,,,,,,,,, +中甸乌头,Aconitum piepunense,李良千等,2875,19830806,四川省,3950~3700,冷杉林下,,有花有果,https://image.cvh.ac.cn/files/l/KUN/109990.jpg,,,,,,,,,, +中甸乌头,Aconitum piepunense,,23799,19570815,四川,4000,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/109994.jpg,,,,,,,,,, +中甸乌头,Aconitum piepunense,武素功,,1974,西藏,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/109995.jpg,,,,,,,,,, +毛瓣乌头,Aconitum pilopetalum,罗艳,355,20010829,四川省,3300~3700,路旁杂草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865346.jpg,,,,,,,,,, +多果乌头,Aconitum polycarpum,"罗艳,陈又生",495,20020824,云南省,3700,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865559.jpg,,,,,,,,,, +多果乌头,Aconitum polycarpum,武素功,8865,19640713,云南省 ,4150,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00055941.jpg,,,,,,,,,, +,Aconitum polycarpum,H. T. Tsai,58606,1934/9/14,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038358.jpg,,,,,,,,,, +多裂乌头,Aconitum polyschistum,杨竞生,89-49,1989-10-,西藏省,4950,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081295.jpg,,,,,,,,,, +多裂乌头,Aconitum polyschistum,杨竞生,88-323,1998-08-,云南省,4400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081293.jpg,,,,,,,,,, +多裂乌头,Aconitum polyschistum,,23358,19570729,四川省,2650,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00308974.jpg,,,,,,,,,, +波密乌头,Aconitum pomeense,夏光成等,722A,19600811,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025307.jpg,,,,,,,,,, +密花乌头,Aconitum potaninii,Harry Smith,11737,19340903,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00308976.jpg,,,,,,,,,, +,Aconitum prominens,西藏中草药普查队,3895,19720726,西藏自治区,3800,冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957351.jpg,,,,,,,,,, +,Aconitum prominens,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",15408,12-Jul-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00438627.jpg,,,,,,,,,, +小花乌头,Aconitum pseudobrunneum,D.E.Boufford et al.,36115,20060809,四川省,4010,Open Abies forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01459357.jpg,,,,,,,,,, +小花乌头,Aconitum pseudobrunneum,杨竞生,84-730,19840727,云南省,4150,高山溪边草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00308978.jpg,,,,,,,,,, +小花乌头,Aconitum pseudobrunneum,青藏队,4749,19810812,四川,3900-4000,山沟水边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1203802.jpg,,,,,,,,,, +拟展枝乌头,Aconitum pseudodivaricatum,夏光成 米泰康,737,19600818,西藏自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025308.jpg,,,,,,,,,, +全裂乌头,Aconitum pseudodivaricatum,张廷,蔡杰,袁明等,09CS1535,20090923,西藏,4146,高山柏,高山栎开阔草地,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231296.jpg,,,,,,,,,, +拟工布乌头,Aconitum pseudokongboense,傅国勋,670,19601011,西藏自治区,3500,林间 隙地,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00308983.jpg,,,,,,,,,, +狭裂乌头,Aconitum refractum,Inayat,19113,1996-07-,,9000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081314.jpg,,,,,,,,,, +狭裂乌头,Aconitum refractum,青藏队植被组,9483,19760805,西藏自治区,4400,高山草甸 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957346.jpg,,,,,,,,,, +狭裂乌头,Aconitum refractum,T.N.Ho et al.,2473,19960827,青海省,3540,growing among shrubs at forest margin,,有花无果,https://image.cvh.ac.cn/files/l/PE/00309052.jpg,,,,,,,,,, +伏毛直序乌头,Aconitum richardsonianum,熊安东,xad2013011-(1),20130824,西藏自治区,4665,山坡溪水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981465.jpg,,,,,,,,,, +直序乌头,Aconitum richardsonianum,罗建,汪书丽,任德智,LiuJQ-09XZ-ML040,20090927,西藏,4625,高山灌丛,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231303.jpg,,,,,,,,,, +,Aconitum rilongense,Q.E.Yang and Q.Yuan,227,20040901,四川省,3400,roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350174.jpg,,,,,,,,,, +,Aconitum rockii,"Rock, J.F.",24771,1932,,,,,,https://image.cvh.ac.cn/files/l/E/E00438746.jpg,,,,,,,,,, +拟康定乌头,Aconitum rockii,木里队,675,19300000,四川省,2300,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0001049.jpg,,,,,,,,,, +拟康定乌头,Aconitum rockii,杨亲二,袁琼,YangQE2226,20080809,云南,3300,林间草地,,花标本,https://image.cvh.ac.cn/files/l/KUN/1231306.jpg,,,,,,,,,, +侧花乌头,Aconitum secundiflorum,成都生物研究所调查队,11031,19750816,四川省,2850,向阳 山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934623.jpg,,,,,,,,,, +腋花乌头,Aconitum sinoaxillare,青藏补点,751167,19750803,西藏自治区,2870,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/51782.jpg,,,,,,,,,, +茨开乌头,Aconitum souliei,Hand.-Mzt.,9971,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00066629.jpg,,,,,,,,,, +茨开乌头,Aconitum souliei,Souliei,1115,,西藏; Tibet,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00066642.jpg,,,,,,,,,, +茨开乌头,Aconitum souliei,Q.E.Yang and Q.Yuan,63,20030821,云南省,3700~3900,grassland and scrub on stream side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01349899.jpg,,,,,,,,,, +,Aconitum spiripetalum,彭玉兰、涂卫国、幸福,Gaoxf0169,20080716,四川,4111,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0207010.jpg,,,,,,,,,, +螺瓣乌头,Aconitum spiripetalum,青藏队,12704,19760809,西藏自治区,4100~4000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/167184.jpg,,,,,,,,,, +螺瓣乌头,Aconitum spiripetalum,"川西队,关克俭,王文采等",1081,19630730,四川省,4300,山坡矮灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087923.jpg,,,,,,,,,, +玉龙乌头,Aconitum stapfianum,,22716,19590914,云南省 ,2900,竹丛中,攀援性草本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00356856.jpg,,,,,,,,,, +玉龙乌头,Aconitum stapfianum,谭少林,YLDP209B,20140831,云南,,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1446959.jpg,,,,,,,,,, +,Aconitum stapfianum,蒋兴麟,35440,,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081421.jpg,,,,,,,,,, +草黄乌头,Aconitum straminiflorum,王启无,68601,1935/8/9,云南省,3600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0044717.jpg,,,,,,,,,, +拟显柱乌头,Aconitum stylosoides,青藏队,4332,19810826,四川省,,山沟云杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00309730.jpg,,,,,,,,,, +堆拉乌头,Aconitum tangense,何廷农,3074,19910806,甘肃省,4100,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/166574.jpg,,,,,,,,,, +堆拉乌头,Aconitum tangense,郭本兆,7343,19700803,青海省,3800,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/21625.jpg,,,,,,,,,, +独龙乌头,Aconitum taronense,"罗艳,陈又生",484,20020821,云南省,3200~3400,高山草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865293.jpg,,,,,,,,,, +新都桥乌头,Aconitum tongolense,张永洪,李国栋,王晓雄,SunH-07ZX-2205,2008101,西藏,3823,针叶林,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231353.jpg,,,,,,,,,, +新都桥乌头,Aconitum tongolense,卢学峰、刘尚武,531,19950910,青海省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/175958.jpg,,,,,,,,,, +新都桥乌头,Aconitum tongolense,杨竞生,91-830,19910804,西藏自治区,3950,曲干达草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957340.jpg,,,,,,,,,, +直缘乌头,Aconitum transsectum,,22585,19590808,云南省 ,3600,草丛中,草本,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00357027.jpg,,,,,,,,,, +,Aconitum transsectum,"Forrest, George",2868,,,,,,,https://image.cvh.ac.cn/files/l/E/E00438727.jpg,,,,,,,,,, +直缘乌头,Aconitum transsectum,"张宪春,Harald Schneider,蒋日红等",6438,20100925,云南省,2632,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039878.jpg,,,,,,,,,, +蔡氏乌头,Aconitum tsaii,"罗艳,陈又生",486,20020820,云南省,3300,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865529.jpg,,,,,,,,,, +蔡氏乌头膝瓣变种,Aconitum tsaii,,,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00175282.jpg,,,,,,,,,, +,Aconitum tsaii,H. T. Tsai,58074,1934/8/20,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038351.jpg,,,,,,,,,, +乡城乌头,Aconitum xiangchengense,D.E.Boufford et al.,28465,19980709,四川省,4000~4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01816779.jpg,,,,,,,,,, +乡城乌头,Aconitum xiangchengense,D.E.Boufford et al.,28465,19980709,四川,4000~4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01816779.jpg,,,,,,,,,, +展毛竞生乌头,Aconitum yangii,杨竞生,84-892,19840700,云南省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00026887.jpg,,,,,,,,,, +云岭乌头,Aconitum yunlingense,方振东 李新华,340,19870819,云南省,4100,高山灌丛 草甸,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00026891.jpg,,,,,,,,,, +菖蒲,Acorus calamus,,114,19590620,安徽省,340,沟塘湿地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00779986.jpg,,,,,,,,,, +菖蒲,Acorus calamus,无,324,19090531,东京,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00001666.jpg,,,,,,,,,, +菖蒲,Acorus calamus,李宏庆等,SDP08993,20120402,上海市,,公园,,无花无果,https://image.cvh.ac.cn/files/l/CSH/0006970.jpg,,,,,,,,,, +金钱蒲,Acorus gramineus,张代贵,pws2688,20110308,湖南湘西州,,田边,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU24744.jpg,,,,,,,,,, +金钱蒲,Acorus gramineus,张代贵,ZB130320499,20130320,湖北神农架,,水旁湿地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU25499.jpg,,,,,,,,,, +金钱蒲,Acorus gramineus,张代贵,zdg4513,20120716,湖北神农架林区,,石上,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU29247.jpg,,,,,,,,,, +,Acroceras zizanioides,Henkel.T.W et al.,5288,19940322,,250,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01642184.jpg,,,,,,,,,, +高山丝瓣芹,Acronema alpinum,青藏补点组,751449,19750821,西藏自治区,4800,路边石缝,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0460240.jpg,,,,,,,,,, +高山丝瓣芹,Acronema alpinum,王为义,45,19820626,青海省,4400,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/108054.jpg,,,,,,,,,, +高山丝瓣芹,Acronema alpinum,谢登峰、卫静丽,2029353,20190922,四川,4661,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/02029353.jpg,,,,,,,,,, +星叶丝瓣芹,Acronema astrantiifolium,青藏队横断山队,3970,19810809,四川省,3850,山沟内Abies sp 林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129659.jpg,,,,,,,,,, +星叶丝瓣芹,Acronema astrantiifolium,"周浙昆, 苏涛, 杨莹, 张芳茗, 李国锋, 黄永江",Zhou09-206,20091016,四川,,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1335618.jpg,,,,,,,,,, +星叶丝瓣芹,Acronema astrantiifolium,PE西藏队,PE6509,20170912,西藏自治区,3588,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330299.jpg,,,,,,,,,, +短梗丝瓣芹,Acronema brevipedicellatum,青藏队,3970,1981-8 9,四川省,3850,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0101254.jpg,,,,,,,,,, +条叶丝瓣芹,Acronema chienii,白水江考察队,821,20060630,甘肃省,3100,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827813.jpg,,,,,,,,,, +条叶丝瓣芹,Acronema chienii,李馨,77943,1958/6/28,四川,4200,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0250447.jpg,,,,,,,,,, +条叶丝瓣芹,Acronema chienii,青藏队,10342,19820911,西藏自治区,3000~3250,山坡 Picea林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129663.jpg,,,,,,,,,, +尖瓣芹,Acronema chinense,K.M.Liou,6694,1936/8/23,青海,2410,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0067319.jpg,,,,,,,,,, +尖瓣芹,Acronema chinense,C.W.Wang,65587,19350800,西藏自治区,3400,Under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616121.jpg,,,,,,,,,, +尖瓣芹,Acronema chinense,秦仁昌,24075,19290600,云南省,2800,杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616033.jpg,,,,,,,,,, +多变丝瓣芹,Acronema commutatum,谢登峰、卫静丽,2031449,20190924,四川,3317,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/02031449.jpg,,,,,,,,,, +多变丝瓣芹,Acronema commutatum,联大,21516,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0460264.jpg,,,,,,,,,, +变化丝瓣芹,Acronema commutatum,,540,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/069291.jpg,,,,,,,,,, +,Acronema forrestii,中甸队,1675,19620831,云南省,3900,冷杉林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616045.jpg,,,,,,,,,, +,Acronema forrestii,Harry Smith,2555,19340930,四川省,3100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616044.jpg,,,,,,,,,, +,Acronema forrestii,"Forrest, George",6667,10-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00000526.jpg,,,,,,,,,, +细梗丝瓣芹,Acronema gracile,PE西藏队,PE5290,20170826,西藏自治区,4270,林下灌层,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330203.jpg,,,,,,,,,, +圆锥丝瓣芹,Acronema paniculatum,青藏队,3418,19810807,四川省,3600~3800,山坡 黄栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129672.jpg,,,,,,,,,, +圆锥丝瓣芹,Acronema paniculatum,秦仁昌,24075,19290824,云南省,2800,杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616109.jpg,,,,,,,,,, +圆锥丝瓣芹,Acronema paniculatum,青藏队补点组,750984,19750729,西藏自治区,3100~3200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616103.jpg,,,,,,,,,, +丽江丝瓣芹,Acronema schneideri,PE西藏队,PE5912,20170905,西藏自治区,3020~3460,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330165.jpg,,,,,,,,,, +丽江丝瓣芹,Acronema schneideri,刘继孟,556,19571023,山东省,300,山沟中 陡 壁岩缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01478031.jpg,,,,,,,,,, +丽江丝瓣芹,Acronema schneideri,,5750,19740812,四川省,3200,灌木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575614.jpg,,,,,,,,,, +四川丝瓣芹,Acronema sichuanense,T.N.Ho(HNWP) et al.,2829,19960903,青海省,4000~4100,"Narrow limestone gorge with river at bottom.Shrub covered rocky slopes,limestone cliffs,and damp spring-or stream-fed areas.",,无花无果,https://image.cvh.ac.cn/files/l/PE/00616118.jpg,,,,,,,,,, +四川丝瓣芹,Acronema sichuanense,何叶祺等,19,1976/8/14,云南,3600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0346628.jpg,,,,,,,,,, +四川丝瓣芹,Acronema sichuanense,潘泽惠,等,948,19861010,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00005160.jpg,,,,,,,,,, +,Acronema xizangense,PE西藏队,PE6864,20170917,西藏自治区,3971,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330311.jpg,,,,,,,,,, +,Acronema xizangense,"张挺,李爱花,刘成,郭永杰",08CS843,20080922,四川省,2978,河谷针阔混交林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1335637.jpg,,,,,,,,,, +西藏丝瓣芹,Acronema xizangense,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,772,20120809,西藏,,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230531.jpg,,,,,,,,,, +亚东丝瓣芹,Acronema yadongense,青藏队,74-2532,19740914,西藏自治区,3700,山坡柏林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616130.jpg,,,,,,,,,, +亚东丝瓣芹,Acronema yadongense,谢登峰、成瑞渝,2028939,20190921,四川,4252,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/02028939.jpg,,,,,,,,,, +大花猕猴桃,Actinidia grandiflora,俞德俊,3054,19340000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00955294.jpg,,,,,,,,,, +大花猕猴桃,Actinidia grandiflora,李振宇,10895,19780631,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00123680.jpg,,,,,,,,,, +大花猕猴桃,Actinidia grandiflora,王作宾,20636,19720515,陕西省,450,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/56654.jpg,,,,,,,,,, +毛尖树,Actinodaphne forrestii,"程树志,李渤生",4654,19830424,西藏自治区,1800,常阔林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01520073.jpg,,,,,,,,,, +毛尖树,Actinodaphne forrestii,李任斌,王学军,李增柱,杨金荣,YDDXSA016,20070921,云南,1498,林缘,沟边,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1230576.jpg,,,,,,,,,, +毛尖树,Actinodaphne forrestii,,s.n.,19581228,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01520066.jpg,,,,,,,,,, +倒卵叶黄肉楠,Actinodaphne obovata,陶国达,23311,19791116,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/002095.jpg,,,,,,,,,, +倒卵叶黄肉楠,Actinodaphne obovata,盛才余,C400826,20190319,云南,570,,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030671.jpg,,,,,,,,,, +倒卵叶黄肉楠,Actinodaphne obovata,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,1112,20121021,西藏,,林中,乔木,无花无果,https://image.cvh.ac.cn/files/l/BJM/0230703.jpg,,,,,,,,,, +,Actinodaphne sikkimensis,"李渤生,程树志",2372,19821230,西藏自治区,1500,常绿阔叶林下常见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494701.jpg,,,,,,,,,, +禾秆亮毛蕨,Acystopteris tenuisecta,M.K.Li,87488,19400505,云南省 ,,石头上,,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0277869.jpg,,,,,,,,,, +禾杆亮毛蕨,Acystopteris tenuisecta,张记军,赵万义,许可旺,张忠,LXP-13-17575,20160520,江西,,山坡、沙土、疏林、溪边, 陆生、草本、直立 ,有孢子囊,https://image.cvh.ac.cn/files/l/SYS/SYS00209579.jpg,,,,,,,,,, +禾秆亮毛蕨,Acystopteris tenuisecta,周喜乐、舒江平、郑希龙、陈沂章、肖艳,ZXL06120,20160324,海南省,1696,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0118896.jpg,,,,,,,,,, +短花盘沙参,Adenophora brevidiscifera,张清龙,1765,19630816,四川省,2950,山坡云南松林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00032070.jpg,,,,,,,,,, +,Adenophora brevidiscifera,高信芬、彭玉兰、孙庚,3670,20020920,四川,2700,高山地盘松高山栎灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0181133.jpg,,,,,,,,,, +甘孜沙参,Adenophora jasionifolia,,1121,20010715,云南省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057089.jpg,,,,,,,,,, +甘孜沙参,Adenophora jasionifolia,李根法,46,19550916,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01230869.jpg,,,,,,,,,, +甘孜沙参,Adenophora jasionifolia,"郎楷永,李良千,费勇",2821,19830806,四川省,40~4200,高山草甸与灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057092.jpg,,,,,,,,,, +川藏沙参,Adenophora liliifolioides,孙学刚等,20010436,20010820,甘肃省,2600,山坡灌草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882103.jpg,,,,,,,,,, +川藏沙参,Adenophora liliifolioides,"洪德元,马欣堂,王强",H12025,20120805,西藏自治区,3500,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056934.jpg,,,,,,,,,, +川藏沙参,Adenophora liliifolioides,中国科学院植物研究所青海队,1159,19580822,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01442431.jpg,,,,,,,,,, +,Adenophora lobophylla,,,,,,,,,,,,,,,,,,, +圆齿铁线蕨,Adiantum breviserratum,姚淦,2051,19890816,西藏自治区,3100,溪边林下,蕨,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00003499.jpg,,,,,,,,,, +圆齿铁线蕨,Adiantum breviserratum,T.T. Yu (俞德浚),17150,19380803,云南,3500,on rock,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1216954.jpg,,,,,,,,,, +铁线蕨,Adiantum capillus-veneris,Mr.W.Hancock,40,19940000,云南省 ,,,,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/1220854.jpg,,,,,,,,,, +铁线蕨,Adiantum capillus-veneris,云台山采集队,253,20080923,河南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02039011.jpg,,,,,,,,,, +铁线蕨,Adiantum capillus-veneris,Jinn-Fen Chen,s.n.,20090513,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02230110.jpg,,,,,,,,,, +白背铁线蕨,Adiantum davidii,B.Bartholomew et al.,1357,19800914,湖北省,1300,Deciduous forest on steep slope along river.,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01385456.jpg,,,,,,,,,, +白背铁线蕨,Adiantum davidii,河南队,1164,19600717,河南省,,岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00577954.jpg,,,,,,,,,, +白背铁线蕨,Adiantum davidii,毕节队,80,19590707,贵州省,2300,山坡 林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00586110.jpg,,,,,,,,,, +普通铁线蕨,Adiantum edgeworthii,"张宪春,Harald Schneider,蒋日红,魏雪苹等",6446,20100926,云南省,2341,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01870356.jpg,,,,,,,,,, +,Adiantum edgeworthii,余奇、熊先华、李琳霖,THP-KD-4994,20170815,四川,1687~1736,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252873.jpg,,,,,,,,,, +普通铁线蕨,Adiantum edgeworthii,D.E.Boufford et al.,37510,20070508,甘肃,650~870,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01814601.jpg,,,,,,,,,, +长盖铁线蕨,Adiantum fimbriatum,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",206,20130419,四川省,1396~1900,山坡沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01994399.jpg,,,,,,,,,, +,Adiantum fimbriatum,,s.n.,,甘肃省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00586513.jpg,,,,,,,,,, +,Adiantum fimbriatum,K.M.Liou,3421,19340828,河北省,1950,"Fentes des rochers,humides,ombrages",,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00586505.jpg,,,,,,,,,, +掌叶铁线蕨,Adiantum pedatum,刘慎谔,5757,19540604,桦甸县,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/00418.jpg,,,,,,,,,, +掌叶铁线蕨,Adiantum pedatum,王崇书,367,19510624,尚志县,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/00410.jpg,,,,,,,,,, +掌叶铁线蕨,Adiantum pedatum,刘慎谔,1742,19500727,安图县,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/00403.jpg,,,,,,,,,, +半月形铁线蕨,Adiantum philippense,"张寿洲,李良千等",3848,20050728,广东省,50,海边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01922912.jpg,,,,,,,,,, +半月形铁线蕨,Adiantum philippense,"B.Bartholomew,D.E.Boufford & Z.L.Dao",8707,20010904,,675,disturbed broadleaved evergreen forest with tall bamboo on vertical wet soil bank in partial shade,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02110110.jpg,,,,,,,,,, +半月形铁线蕨,Adiantum philippense,海南队,1847,19741231,海南省,500,林缘疏阴处,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01714683.jpg,,,,,,,,,, +,Adiantum refractum,张永田、郎楷永,880,19650722,西藏自治区,2000,路旁石头上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0483865.jpg,,,,,,,,,, +月芽铁线蕨,Adiantum refractum,金摄郎,JSL3939,20160405,湖南,,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0119069.jpg,,,,,,,,,, +,Adiantum refractum,滇东北队,1104,19720928,云南省,1800,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1221861.jpg,,,,,,,,,, +陇南铁线蕨,Adiantum roborowskii,刘正宇,19439,19951018,贵州省,760,阴湿岩壁上 ,,有花无果,https://image.cvh.ac.cn/files/l/PE/00001462.jpg,,,,,,,,,, +陇南铁线蕨,Adiantum roborowskii,"孙玖琼,武玉东",76,20140808,重庆市,1300,沟谷边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02023473.jpg,,,,,,,,,, +陇南铁线蕨,Adiantum roborowskii,"张宪春,蒋日红,黄尔峰",8985,20170823,四川省,2800,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234293.jpg,,,,,,,,,, +西藏铁线蕨,Adiantum tibeticum,PE-西藏队,839,20100811,西藏自治区,2817,村路边草地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01915663.jpg,,,,,,,,,, +西藏铁线蕨,Adiantum tibeticum,张书东,何华杰,81141,20080914,西藏,2614,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1439096.jpg,,,,,,,,,, +细叶铁线蕨,Adiantum venustum,"张宪春,蒋日红,黄尔峰",8876,20170819,四川省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234311.jpg,,,,,,,,,, +细叶铁线蕨,Adiantum venustum,FLPH Tibet Expedition,12-1541,20120917,西藏自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02032741.jpg,,,,,,,,,, +细叶铁线蕨,Adiantum venustum,F.E.W.Venning,525,19300727,,2057,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02023161.jpg,,,,,,,,,, +阔叶杨桐,Adinandra latifolia,毛品一/P.I.Mao,447,19560914,云南省,1400,大沟边疏林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/01432813.jpg,,,,,,,,,, +,Adinandra latifolia,刘成、何华杰、黄莉、杨忠兰,14CS8556,20141109,云南,1215,常绿阔叶林林缘河谷边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1321834.jpg,,,,,,,,,, +阔叶杨桐,Adinandra latifolia,程堂仁、张强英、郭治友等,201110S119(1),20111004,贵州,933,水沟边,乔木,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00075156.jpg,,,,,,,,,, +蓝侧金盏花,Adonis coerulea,李延辉,5199,1964-02-,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081669.jpg,,,,,,,,,, +蓝侧金盏花,Adonis coerulea,杨金祥,2235,19630814,西藏自治区,5000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957037.jpg,,,,,,,,,, +毛蓝侧金盏花,Adonis coerulea,?,84-A-279,1984.7.3,新疆维吾尔自治区 ,4850,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00009364.jpg,,,,,,,,,, +,Aerides falcata,中苏队,847,19560427,云南省,800,峻,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0018026.jpg,,,,,,,,,, +,Aerides odorata,"Loureiro, J. de",5251,,,,,,,https://image.cvh.ac.cn/files/l/P/P00150858.jpg,,,,,,,,,, +,Aerides rosea,HK kadoorie PT,773,20010605,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01997706.jpg,,,,,,,,,, +,Aerides rosea,金效华,304,20000800,贵州省,1200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866771.jpg,,,,,,,,,, +多花指甲兰,Aerides rosea,胡启和,周英,仇亚,YNS0643,20091228,云南,1040,公路边,附生,,https://image.cvh.ac.cn/files/l/KUN/1393561.jpg,,,,,,,,,, +,Aeschynanthus angustissimus,,,,,,,,,,,,,,,,,,, +,Aeschynanthus dolichanthus,,,,,,,,,,,,,,,,,,, +,Aeschynanthus lasianthus,,,,,,,,,,,,,,,,,,, +,Aeschynanthus lasiocalyx,,,,,,,,,,,,,,,,,,, +,Aeschynanthus medogensis,,,,,,,,,,,,,,,,,,, +,Aeschynanthus tenuis,,,,,,,,,,,,,,,,,,, +,Agapetes aborensis,,,,,,,,,,,,,,,,,,, +,Agapetes anonyma,,,,,,,,,,,,,,,,,,, +,Agapetes camelliifolia,,,,,,,,,,,,,,,,,,, +,Agapetes ciliata,,,,,,,,,,,,,,,,,,, +,Agapetes leiocarpa,,,,,,,,,,,,,,,,,,, +,Agapetes leucocarpa,,,,,,,,,,,,,,,,,,, +,Agapetes linearifolia,,,,,,,,,,,,,,,,,,, +,Agapetes marginata,,,,,,,,,,,,,,,,,,, +,Agapetes medogensis,,,,,,,,,,,,,,,,,,, +,Agapetes mitrarioides,,,,,,,,,,,,,,,,,,, +,Agapetes praeclara,,,,,,,,,,,,,,,,,,, +,Agapetes salicifolia,,,,,,,,,,,,,,,,,,, +,Agapetes spissa,,,,,,,,,,,,,,,,,,, +,Agapetes subsessilifolia,,,,,,,,,,,,,,,,,,, +,Agapetes xizangensis,,,,,,,,,,,,,,,,,,, +龙舌兰,Agave americana,谢德熔,377,1959/10/28,陕西,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0095048.jpg,,,,,,,,,, +龙舌兰,Agave americana,,10211,19730100,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00143714.jpg,,,,,,,,,, +龙舌兰,Agave americana,刘正宇、张军等,RQHZ06370-01,20141219,重庆,,岩壁上,草本,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0083153.jpg,,,,,,,,,, +,Agave vera-cruz,,,,,,,,,,,,,,,,,,, +,Aglaonema hookerianum,,,,,,,,,,,,,,,,,,, +冰草,Agropyron cristatum,黄河调查队,5485,19560711,宁夏回族自治区,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00262685.jpg,,,,,,,,,, +冰草,Agropyron cristatum,段长虹,Dch0184,20140705,山西省,1213,砂石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015103.jpg,,,,,,,,,, +冰草,Agropyron cristatum,牛玉璐,郑博颖,黄士良,李峰,NiuYL134,20121007,河北,800,温带落叶阔叶林林缘山地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1399724.jpg,,,,,,,,,, +华北剪股颖,Agrostis clavata,刘守炉等,1209,19630514,江西,,近溪 路边 草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0219974.jpg,,,,,,,,,, +华北剪股颖,Agrostis clavata,甘启良,3111,20080529,湖北省,700,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01849887.jpg,,,,,,,,,, +华北剪股颖,Agrostis clavata,,350,19580529,浙江,,山岗 路旁,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0168555.jpg,,,,,,,,,, +巨序剪股颖,Agrostis gigantea,傅坤俊,6970,19530719,陕西,1100,谷底,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0059037.jpg,,,,,,,,,, +巨序剪股颖,Agrostis gigantea,董安淼,吴从梅,TanCM1598,20130905,江西,960,林下灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1399782.jpg,,,,,,,,,, +巨序剪股颖,Agrostis gigantea,"徐养鹏,于兆英",2343,1981/9/5,内蒙,2220,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0449570.jpg,,,,,,,,,, +,Agrostis griffithiana,"吴征镒,陈书坤,杜庆,庐树林",75-790,19750716,西藏自治区,4370,五花草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00263533.jpg,,,,,,,,,, +,Agrostis hookeriana,C.S.Liu,1429,19340829,四川省,3700~4600,in the lake side,,无花有果,https://image.cvh.ac.cn/files/l/PE/00038880.jpg,,,,,,,,,, +,Agrostis hookeriana,李渤生,H-18,,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00263486.jpg,,,,,,,,,, +疏花剪股颖,Agrostis hookeriana,郁文彬,张舒,艾红莲,任宗昕,杨莹,SCSB-W-1016,20080918,云南,2977,草坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400455.jpg,,,,,,,,,, +川西剪股颖,Agrostis hugoniana,山西队,1722,19570720,山西省,2610,山顶阳处草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00038862.jpg,,,,,,,,,, +川西剪股颖,Agrostis hugoniana,王启无,65633,19350807,云南,3500,山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0036777.jpg,,,,,,,,,, +甘青剪股颖,Agrostis hugoniana,刘照光,7608,19740814,四川省,4400,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02029303.jpg,,,,,,,,,, +,Agrostis mackliniae,张经炜,6327,19730813,西藏自治区,4200,山脊,,有花有果,https://image.cvh.ac.cn/files/l/PE/01447543.jpg,,,,,,,,,, +多花剪股颖,Agrostis micrantha,张昌兵,邓秀发,ZhangCB0331,20100926,四川,3227,河谷地边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1399856.jpg,,,,,,,,,, +小花剪股颖,Agrostis micrantha,"T.N.Ho(HNWP),B.Bartholomew(CAS),M.Watson(E)and M.G",2270,19960824,青海省,3550~3650,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00263605.jpg,,,,,,,,,, +多花剪股颖,Agrostis micrantha,贵州队,836,19600414,贵州,1200,水田边,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0225831.jpg,,,,,,,,,, +,Agrostis munroana,Negi Parmanand ,1182,19340902,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01633996.jpg,,,,,,,,,, +,Agrostis munroana,张经炜,6285,19730812,西藏自治区,3500,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00263638.jpg,,,,,,,,,, +,Agrostis nervosa,青藏队补点组,751107,19750802,西藏自治区,4360,冷杉林小溪边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02029396.jpg,,,,,,,,,, +泸水剪股颖,Agrostis nervosa,鞠文彬,杨焰,THP-KD-5227,20170804,四川,4040,草地灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254956.jpg,,,,,,,,,, +泸水剪股颖,Agrostis nervosa,滇西北金沙江队,4640,19630718,云南,2150,水田边,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0481323.jpg,,,,,,,,,, +,Agrostis sinorupestris,生态室高原组,15661,19800917,西藏自治区,4450,高山 草甸中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00284027.jpg,,,,,,,,,, +,Agrostis sinorupestris,"田,张",44(8),19810700,云南省,3300,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487031.jpg,,,,,,,,,, +,Agrostis sinorupestris,"郎楷永,李良千,费勇",714,19820729,四川省,4350,姊妹山顶高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00263924.jpg,,,,,,,,,, +,Agrostis vinealis,Gunvor Wideholt,s.n.,19470710,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01643864.jpg,,,,,,,,,, +,Agrostophyllum brevipes,,,,,,,,,,,,,,,,,,, +硬皮禾叶兰,Agrostophyllum callosum,Luo Yi-bo,451,20000930,云南省,860,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033236.jpg,,,,,,,,,, +禾叶兰,Agrostophyllum callosum,郭永杰、吴志坤、吴兴、王宇萍、李志军,14CS9869,20141109,云南,1775,江边岩石上,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1393562.jpg,,,,,,,,,, +硬皮禾叶兰,Agrostophyllum callosum,South Tibet Exp.Team (Jin Xiaohua etc.),STET1881,20100801,西藏自治区,1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033237.jpg,,,,,,,,,, +,Agrostophyllum myrianthum,,,,,,,,,,,,,,,,,,, +滇印禾叶兰,Agrostophyllum planicaule,"李剑武,谭运洪",2811,20121217,,250,热带季雨林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028272.jpg,,,,,,,,,, +异叶兔儿风,Ainsliaea foliosa,C.W.Wang,69882,19350900,云南省 ,2700,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0515590.jpg,,,,,,,,,, +异叶兔儿风,Ainsliaea foliosa,"刘杰, 罗亚皇, 刘基男, 谭少林",YMT3800-1-1010,20130620,云南,3801,冷杉-川滇高山栎-杜鹃林,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1457498.jpg,,,,,,,,,, +异叶兔儿风,Ainsliaea foliosa,康藏植物考察队,10-2202,20100817,西藏自治区,3942,高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917558.jpg,,,,,,,,,, +大头兔儿风,Ainsliaea macrocephala,G.Forrest,6545,19100000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0515783.jpg,,,,,,,,,, +大头兔儿风,Ainsliaea macrocephala,C.S.Fan Y.Y.Li,621,19351019,湖南省,0~600,,,有花有果,https://image.cvh.ac.cn/files/l/N/280157094.jpg,,,,,,,,,, +大头兔儿风,Ainsliaea macrocephala,董洪进等,457,20110916,云南省,3000,under pine forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920717.jpg,,,,,,,,,, +薄叶兔儿风,Ainsliaea mattfeldiana,C.Ho & C.L.Chow,14116,19520000,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0515835.jpg,,,,,,,,,, +紫枝兔儿风,Ainsliaea smithii,李馨,70132,19570419,四川省,3250,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0515970.jpg,,,,,,,,,, +紫枝兔儿风,Ainsliaea smithii,,云73-72,19730529,四川,650,,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM719400152.jpg,,,,,,,,,, +丽江亚菊,Ajania adenantha,李馨,72159,,四川省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00386791.jpg,,,,,,,,,, +丽江亚菊,Ajania adenantha,联大,21049,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0036775.jpg,,,,,,,,,, +,Ajania adenantha,"Forrest, George",3070,6-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00413541.jpg,,,,,,,,,, +短冠亚菊,Ajania brachyantha,陈又生,9810,20090915,西藏自治区,3600,山谷干沙坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053255.jpg,,,,,,,,,, +,Ajania elegantula,"Forrest, George",13335,14-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00413540.jpg,,,,,,,,,, +下白亚菊,Ajania hypoleuca,方文培/W.P.Fang,1453,19280722,重庆市,1000,road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00935955.jpg,,,,,,,,,, +下白亚菊,Ajania hypoleuca,K.T.Fu,2332,19371105,甘肃省,650,"dry place,road side",,有花无果,https://image.cvh.ac.cn/files/l/PE/00386994.jpg,,,,,,,,,, +,Ajania hypoleuca,何海、王海峰、杜阳平、郭晓明,PW0924,20190824,四川,1333,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0288611.jpg,,,,,,,,,, +光苞亚菊,Ajania nitida,任再金,3923,19931020,四川省,1400,山坡下部路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01772043.jpg,,,,,,,,,, +,Ajania nitida,胡君、王东超、李丽、唐露,SC-a-083-B07,20180812,西藏,3223,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262243.jpg,,,,,,,,,, +紫花亚菊,Ajania purpurea,青藏??队那曲分队陶?定,11148,19760902,西藏,4600-4800,高山流石滩、灌丛草地,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028423.jpg,,,,,,,,,, +紫花亚菊,Ajania purpurea,FLPH Tibet Expedition,12-0448,20120911,西藏自治区,5000~5100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967529.jpg,,,,,,,,,, +紫花亚菊,Ajania purpurea,刘尚武,556,19650913,青海省,4900,阳坡砾石坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420097.jpg,,,,,,,,,, +分枝亚菊,Ajania ramosa,傅坤俊,14305,1962/9/8,陕西,2940,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0185632.jpg,,,,,,,,,, +分枝亚菊,Ajania ramosa,何廷农,767,19890716,青海,1850,河岸草地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028380.jpg,,,,,,,,,, +,Ajania ramosa,余奇、熊先华、李琳霖,THP-KD-3742,20170804,四川,3512~3593,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252265.jpg,,,,,,,,,, +多裂亚菊,Ajania tripinnatisecta,李馨,74922,19571002,四川省,3250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420278.jpg,,,,,,,,,, +蒿,Ajania tripinnatisecta,余奇、熊先华、李琳霖,THP-KD-3740,20170804,四川,3512-3593,,小半灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241713.jpg,,,,,,,,,, +,Ajania truncata,李馨,76508,19570927,四川省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420283.jpg,,,,,,,,,, +,Ajania truncata,,1084,,重庆市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420282.jpg,,,,,,,,,, +画笔菊,Ajaniopsis penicilliformis,西藏队植被组,6036,19750902,西藏自治区,4600,流石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935958.jpg,,,,,,,,,, +画笔菊,Ajaniopsis penicilliformis,陈晓澄等,Chenxc-301,20170907,西藏,5200,砾石滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018301.jpg,,,,,,,,,, +,Ajuga campylanthoides,,,,,,,,,,,,,,,,,,, +,Ajuga nubigena,,,,,,,,,,,,,,,,,,, +,Ajuga ovalifolia,,,,,,,,,,,,,,,,,,, +,Ajuga sciaphila,,,,,,,,,,,,,,,,,,, +长蕊木兰,Alcimandra cathcartii,H.T.Tsai,58698,19331010,云南省 ,2800,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00064622.jpg,,,,,,,,,, +长蕊木兰,Alcimandra cathcartii,Hu,But,22332,19930612,香港,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/92633.jpg,,,,,,,,,, +长蕊木兰,Alcimandra cathcartii,湘黔队,3312,19830807,湖南省,1500,林内,,有果无花,https://image.cvh.ac.cn/files/l/KUN/795614.jpg,,,,,,,,,, +高山粉条儿菜,Aletris alpestris,傅坤俊,8414,1956/8/5,陕西,3000,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0099782.jpg,,,,,,,,,, +高山粉条儿菜,Aletris alpestris,税玉民,3374,19930810,云南省,2560,土山地山背灌丛间空地上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01791618.jpg,,,,,,,,,, +高山粉条儿菜,Aletris alpestris,刘正宇、张军等,S-1465,20170422,重庆,908,阴湿崖壁,小草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051356.jpg,,,,,,,,,, +无毛粉条儿菜,Aletris glabra,何华杰,张书东,81253,20080919,西藏,3252,山坡林缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391071.jpg,,,,,,,,,, +无毛粉条儿菜,Aletris glabra,李启瑞,52263120190823809LY,20190823,贵州,674.2,旱生、阳性、中温、野生植物,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0101762.jpg,,,,,,,,,, +无毛粉条儿菜,Aletris glabra,胡光万,HGW-00042,20070803,云南,2909,高原坡地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391061.jpg,,,,,,,,,, +星花粉条儿菜,Aletris gracilis,T.T.Yu,19282,19380900,云南省,2950,Margin of thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00001530.jpg,,,,,,,,,, +星花粉条儿菜,Aletris gracilis,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11997,20161120,西藏,1594,路边山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445175.jpg,,,,,,,,,, +星花粉条儿菜,Aletris gracilis,任宗昕,蒋伟,张明英,骆洋,王雪芹,WH-2012-0392,20120625,云南,2887,林下,草本,,https://image.cvh.ac.cn/files/l/KUN/1391079.jpg,,,,,,,,,, +疏花粉条儿菜,Aletris laxiflora,易思荣,21011,19960820,重庆,1860,竹林下,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00617281.jpg,,,,,,,,,, +疏花粉条儿菜,Aletris laxiflora,J.A.Soulie,1893,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075979.jpg,,,,,,,,,, +疏花粉条儿菜,Aletris laxiflora,何国生,10507,20010421,福建省,300,杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867943.jpg,,,,,,,,,, +矮粉条儿菜,Aletris nana,王新光/X.G.Wang,58,19590527,西藏自治区,4000,山坡下沼泽什草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00033490.jpg,,,,,,,,,, +少花粉条儿菜,Aletris pauciflora,刘正宇、张军等,S-0738,20160510,重庆,705,阴湿岩壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051357.jpg,,,,,,,,,, +穗花粉条儿菜,Aletris pauciflora,J.F.Rock,18072,29-Jul,四川; SZECHWAN,3380,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00023978.jpg,,,,,,,,,, +少花粉条儿菜,Aletris pauciflora,张永洪,王晓雄,周卓,岳亮亮,SunH-07ZX-0493,20080720,西藏,4037,高山草甸与高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391103.jpg,,,,,,,,,, +穗花粉条儿菜,Aletris pauciflora var. khasiana,蔡杰、亚吉东、余香琴、苏勇、李昌洪、何德明,14CS9161,20140522,云南,2293,公路边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1391111.jpg,,,,,,,,,, +穗花粉条儿菜,Aletris pauciflora var. khasiana,张挺,郭永杰,刘成等,10CS2258,20100805,四川,3901,"Rocky, SW-facing bank. Growing in flat, grassy areas",,,https://image.cvh.ac.cn/files/l/KUN/1391114.jpg,,,,,,,,,, +穗花粉条儿菜,Aletris pauciflora var. khasiana,张林、李星月、张晓严,3-174,20180612,西藏,4581,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023791.jpg,,,,,,,,,, +,Aletris simpliciflora,,,,,,,,,,,,,,,,,,, +小叶中国蕨,Aleuritopteris albofusca,商辉、刘子玥,SG1474,20160913,宁夏,1521,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0126868.jpg,,,,,,,,,, +,Aleuritopteris albofusca,South Tibet Exp. Team (STET),STET0091,20100713,西藏自治区,,hot dry valley,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01963651.jpg,,,,,,,,,, +,Aleuritopteris albofusca,张志英,13387,19590911,甘肃省,800,山坡路边,草本,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0375322.jpg,,,,,,,,,, +白边粉背蕨,Aleuritopteris albomarginata,魏奇,王凡红,公艳芬,FB-400,20130813,云南,1313,,,,https://image.cvh.ac.cn/files/l/KUN/1405841.jpg,,,,,,,,,, +白边粉背蕨,Aleuritopteris albomarginata,王培善,75714,19790911,贵州省,1360,石灰岩洞内石上(阴湿附生),,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00543760.jpg,,,,,,,,,, +,Aleuritopteris albomarginata,卫然,WR0483,20161102,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02109742.jpg,,,,,,,,,, +多鳞粉背蕨,Aleuritopteris anceps,T.N.Liou,6407,19321204,,193,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01617788.jpg,,,,,,,,,, +粉背蕨,Aleuritopteris anceps,周喜乐、舒江平、葛斌杰、宋以刚,ZXL06565,20160817,浙江,499,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137836.jpg,,,,,,,,,, +多鳞粉背蕨,Aleuritopteris anceps,秦新生,刘东明,14246,20030723,海南省,,林中石上,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1260956.jpg,,,,,,,,,, +银粉背蕨,Aleuritopteris argentea,张玉良,203,19580723,黑河市,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/055417.jpg,,,,,,,,,, +银粉背蕨,Aleuritopteris argentea,张重岭,468,20180603,内蒙古,897,潮湿岩石缝,,无花无果,https://image.cvh.ac.cn/files/l/YAK/YAK0005425.jpg,,,,,,,,,, +裂叶粉背蕨,Aleuritopteris argentea,侯学煜等,14743,19511207,江西省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01583833.jpg,,,,,,,,,, +金粉背蕨,Aleuritopteris chrysophylla,"李中阳,卫然,张红瑞",7381,20150820,贵州省,800,石灰岩山地林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02056081.jpg,,,,,,,,,, +金粉背蕨,Aleuritopteris chrysophylla,金摄郎、朱晓凤、黄艳波,MES027,20130724,广西,1977,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0046094.jpg,,,,,,,,,, +金粉背蕨,Aleuritopteris chrysophylla,青藏队,6003,19810901,四川省,3500,山坡岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01363800.jpg,,,,,,,,,, +,Aleuritopteris duclouxii var. sulphurea,FLPH Tibet Expedition,12-1266,20120915,西藏自治区,1500,山谷林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02003999.jpg,,,,,,,,,, +,Aleuritopteris duclouxii var. sulphurea,孔宪需,3527,19631118,四川省,1800,中山下 东北坡 常绿阔叶林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00539102.jpg,,,,,,,,,, +,Aleuritopteris duthiei,X.C.Zhang & L.Wang,4659,20070919,西藏自治区,4200,On slope,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01792609.jpg,,,,,,,,,, +,Aleuritopteris duthiei,"夏群,马义伦",49,19820730,云南省,2200,石隙,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00539086.jpg,,,,,,,,,, +,Aleuritopteris duthiei,"朱维明,李建伟,周厚高等",16932,19830901,四川省,4110,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00539085.jpg,,,,,,,,,, +台湾粉背蕨,Aleuritopteris formosana,商辉、罗俊杰,SG1783,20170614,云南,2691,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0142066.jpg,,,,,,,,,, +台湾粉背蕨,Aleuritopteris formosana,朱维明,s.n.,19541000,云南省,2100,石灰岩上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00539125.jpg,,,,,,,,,, +台湾粉背蕨,Aleuritopteris formosana,Y.Tsiang,13230,19350728,台湾省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00147645.jpg,,,,,,,,,, +,Aleuritopteris grisea,武夷山考察队,80-0028,19800718,福建省,600,"山地,路旁,密林,石上,少见",直立草本,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0427295.jpg,,,,,,,,,, +,Aleuritopteris grisea,赖书绅,聂敏祥,2945,19580605,江西省,,大森林中,灌木,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0263246.jpg,,,,,,,,,, +阔盖粉背蕨,Aleuritopteris grisea,朱世新,朱长山,张云霞,李景照,周繇,张若鹏,李家美,储嘉琳,150511083,20150511,河南省,,,草本,多年生,有孢子囊,https://image.cvh.ac.cn/files/l/AU/AU063024.jpg,,,,,,,,,, +银粉背蕨,Aleuritopteris kuhnii,J. Sato,10173,19260719,丹东市,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/00744.jpg,,,,,,,,,, +华北粉背蕨,Aleuritopteris kuhnii,商辉.汪浩,SG2144,20180606,山东,1256,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0157733.jpg,,,,,,,,,, +华北粉背蕨,Aleuritopteris kuhnii,张炳坤,09-0559,20091011,陕西,1350,森林,草本,有孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0175268.jpg,,,,,,,,,, +乳浆大戟,Aleuritopteris leptolepis,赵宏淼,BJTC009418,20190630,北京市,761,溪边,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC009418.jpg,,,,,,,,,, +,Aleuritopteris leptolepis,PE西藏队,PE6027,20170906,西藏自治区,2935,山谷林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01891877.jpg,,,,,,,,,, +,Aleuritopteris leptolepis,胡君、王东超、李丽、唐露,SC-a-093-B12,20180817,四川,3417,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260948.jpg,,,,,,,,,, +雪白粉背蕨,Aleuritopteris niphobola,何叶祺,2261,,内蒙古自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00539308.jpg,,,,,,,,,, +雪白粉背蕨,Aleuritopteris niphobola,"关克俭,陈艺林",2565,19590801,山西省,2400,山坡,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00539313.jpg,,,,,,,,,, +雪白粉背蕨,Aleuritopteris niphobola,何叶祺,7321,19590823,宁夏回族自治区,2000,山坡阴处,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00539309.jpg,,,,,,,,,, +矮粉背蕨,Aleuritopteris pygmaea,S.Y.Dong et al.,S37,20010815,西藏自治区,3200,岩石下,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01788016.jpg,,,,,,,,,, +矮粉背蕨,Aleuritopteris pygmaea,青藏队,1803,19810705,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/054521.jpg,,,,,,,,,, +矮粉背蕨,Aleuritopteris pygmaea,青藏队,3068,19810714,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/054520.jpg,,,,,,,,,, +美丽粉背蕨,Aleuritopteris speciosa,西藏中草药普查队,8508,19760810,西藏自治区,3030,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01521415.jpg,,,,,,,,,, +,Aleuritopteris subdimorpha,,,,,,,,,,,,,,,,,,, +,Aleuritopteris subvillosa,,s.n.,,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00539633.jpg,,,,,,,,,, +,Aleuritopteris subvillosa,,s.n.,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00539636.jpg,,,,,,,,,, +,Aleuritopteris subvillosa,"张宪春,蒋日红,黄尔峰",8910,20170821,四川省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234500.jpg,,,,,,,,,, +西藏粉背蕨,Aleuritopteris subvillosa var. tibetica,谢登峰、蔡竞、秦换换,SC-00-009-A-034,20200823,四川,3564.06m,灌丛山坡,阴生,有孢子,https://image.cvh.ac.cn/files/l/SZ/02060702.jpg,,,,,,,,,, +,Aleuritopteris subvillosa var. tibetica,D.E.Boufford et al.,30981,20040720,四川省,3440,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01852759.jpg,,,,,,,,,, +西藏粉背蕨,Aleuritopteris subvillosa var. tibetica,严岳鸿、齐新萍,YYH12715,20130828,西藏,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0042438.jpg,,,,,,,,,, +疏磺粉背蕨,Aleuritopteris veitchii,South Tibet Exp. Team (STET),STET0074-1,20100713,西藏自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01963648.jpg,,,,,,,,,, +金爪粉背蕨,Aleuritopteris veitchii,资源县普查队,450329150621012LY,20150621,广西,799,灌丛,路旁,黄棕壤,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMG/GXMG0172035.jpg,,,,,,,,,, +金爪粉背蕨,Aleuritopteris veitchii,王锋,90090,19900803,贵州省,1600,,,无花无果,https://image.cvh.ac.cn/files/l/HGAS/058764.jpg,,,,,,,,,, +泽泻,Alisma plantago-aquatica,T.P.Wang,W.3870,1935/9/27,山西,560,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0017194.jpg,,,,,,,,,, +泽泻,Alisma plantago-aquatica,"朱鑫鑫, 王君, 林庶, 梁俊生, 方东升",ZXX19723,20190709,湖北,63,亚热带,药园中,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1485636.jpg,,,,,,,,,, +泽泻,Alisma plantago-aquatica,段士民,王习勇等,ZhangDY333,20080903,新疆,665,积水洼地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390252.jpg,,,,,,,,,, +针叶韭,Allium aciphyllum,J.M.Xu,3,19750920,四川省,2050,岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00033548.jpg,,,,,,,,,, +针叶韭,Allium aciphyllum,蔡杰,张挺,刘成等,10CS2581,20100925,四川,3576,路边山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391158.jpg,,,,,,,,,, +针叶韭,Allium aciphyllum,俞德浚,20321,0,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/229046.jpg,,,,,,,,,, +蓝苞葱,Allium atrosanguineum,宋森田,96,19580809,甘肃,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0051902.jpg,,,,,,,,,, +蓝苞葱,Allium atrosanguineum,白水江考察队,343,20060627,甘肃省,1960~3148,林缘或林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823265.jpg,,,,,,,,,, +蓝苞葱,Allium atrosanguineum,Forrest,19820,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00022558.jpg,,,,,,,,,, +藏葱,Allium atrosanguineum var. tibeticum,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20688,20200626,西藏,4691,流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509668.jpg,,,,,,,,,, +蓝花韭,Allium beesianum,G. Forrest.,6576,1910.9.,云南,12000ft.,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005383.jpg,,,,,,,,,, +蓝花韭,Allium beesianum,Geo. Forrest,1910,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00022560.jpg,,,,,,,,,, +蓝花韭,Allium beesianum,"S. Akiyama ,H. Ikeda,武素功,吕元林,陈绍田,向建英,Yangzhen",106279,20010819,西藏自治区,4790,无,,,https://image.cvh.ac.cn/files/l/KUN/1294956.jpg,,,,,,,,,, +,Allium carolinianum,,266,19630728,甘肃省,3350,岩顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/00114303.jpg,,,,,,,,,, +,Allium carolinianum,康藏植物考察队,10-1399,20100806,西藏自治区,4600~4800,流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967776.jpg,,,,,,,,,, +镰叶韭,Allium carolinianum,Przewalski,,,甘肃; KANSU,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00022565.jpg,,,,,,,,,, +楼子葱,Allium cepa,邢吉庆,9908,1959/6/27,陕西,1000,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0128301.jpg,,,,,,,,,, +洋葱,Allium cepa,,BJTC038150,,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC038150.jpg,,,,,,,,,, +洋葱,Allium cepa,,8169,,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628240.jpg,,,,,,,,,, +昌都韭,Allium changduense,青藏队植被组,9956,19760901,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532561.jpg,,,,,,,,,, +,Allium changduense,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-151-B19,20190825,西藏,3505,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260013.jpg,,,,,,,,,, +昌都韭,Allium changduense,余岩、蓝艳玲,2022721,20200718,四川,4497,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02022721.jpg,,,,,,,,,, +野葱,Allium chrysanthum,P.Licent S.J.,4541,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00114454.jpg,,,,,,,,,, +野葱,Allium chrysanthum,李宏庆等,SDP04193,20111112,上海市,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0025464.jpg,,,,,,,,,, +野葱,Allium chrysanthum,林亲众,1746,,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI060410.jpg,,,,,,,,,, +折被韭,Allium chrysocephalum,青藏队植被组,2695,19740811,西藏自治区,,山麓 缓坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532559.jpg,,,,,,,,,, +折被韭,Allium chrysocephalum,K.S.Hao,1110,19300902,,4500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00033607.jpg,,,,,,,,,, +折被韭,Allium chrysocephalum,,129,,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00033685.jpg,,,,,,,,,, +天蓝韭,Allium cyaneum,张重岭,241,20130806,内蒙古自治区,1171.8,林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/YAK/0001320.jpg,,,,,,,,,, +天蓝韭,Allium cyaneum,PE西藏队,PE5598,20170901,西藏自治区,4235,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891527.jpg,,,,,,,,,, +天蓝韭,Allium cyaneum,汤宗孝等,1047,19810913,云南省,3760,石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939359.jpg,,,,,,,,,, +杯花韭,Allium cyathophorum,白龙江考察队,537,19980721,甘肃省,2800,山地 山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537188.jpg,,,,,,,,,, +杯花韭,Allium cyathophorum,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20848,20200630,西藏,3843,岩壁上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505974.jpg,,,,,,,,,, +杯花韭,Allium cyathophorum,毛康珊,任广朋,邹嘉宾,LiuJQ-QTP-2011-253,20111010,四川,4264,温带干砂石地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391229.jpg,,,,,,,,,, +真籽韭,Allium eusperma,青藏队,3066,19810714,四川省,2700,河谷山坡 干旱灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01133717.jpg,,,,,,,,,, +真籽韭,Allium eusperma,T.T.Yu,13387,19370918,云南省,2600,mangin of thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00114776.jpg,,,,,,,,,, +真籽韭,Allium eusperma,"张永田,郞楷永",187,19650630,西藏自治区,3600,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00138610.jpg,,,,,,,,,, +,Allium farreri,J.F.Rock.,12789,19250700,甘肃省,0~3330,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628298.jpg,,,,,,,,,, +,Allium farreri,,165,29-Jun-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00386585.jpg,,,,,,,,,, +,Allium fasciculatum,,,,,,,,,,,,,,,,,,, +粗根韭,Allium fasciculatum,杨永昌,1152,19650711,青海省,4250,阳坡 灌丛内半阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519364.jpg,,,,,,,,,, +粗根韭,Allium fasciculatum,"郎楷永,李良千,费勇",2402,19830728,四川省,3600,沟中灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01133718.jpg,,,,,,,,,, +葱,Allium fistulosum,,BJTC038149,,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC038149.jpg,,,,,,,,,, +,Allium fistulosum,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00114871.jpg,,,,,,,,,, +葱,Allium fistulosum,刘永英,4007,2004.06.,河南,70,,,无花无果,https://image.cvh.ac.cn/files/l/HENU/1010464.jpg,,,,,,,,,, +梭沙韭,Allium forrestii,王启无,61711,19340000,河北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628315.jpg,,,,,,,,,, +梭沙韭,Allium forrestii,张大才,尹五元,李双智,丁文谦,何廷顺,侯雄辉,张明启,ZhangDC-07ZX-2426,20110929,四川,4634,流石滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391262.jpg,,,,,,,,,, +梭沙韭,Allium forrestii,G.Forrest,6721,19100000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628309.jpg,,,,,,,,,, +金头韭,Allium herderianum,谢登峰、张相宜,2031730,20190925,四川,3584,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02031730.jpg,,,,,,,,,, +金头韭,Allium herderianum,廉永善等,96693,19960818,甘肃省,3080,石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517839.jpg,,,,,,,,,, +金头韭,Allium herderianum,唐宇丹,Q007,20050831,青海省,2695,山沟溪边光照较充足,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939866.jpg,,,,,,,,,, +宽叶韭,Allium hookeri,朱太平,265,19581007,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0637721.jpg,,,,,,,,,, +宽叶韭,Allium hookeri,贺贤育,28255,19570926,浙江省,,垦地边 栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00115007.jpg,,,,,,,,,, +宽叶韭,Allium hookeri,M.K.Li,548,19540904,辽宁省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0637740.jpg,,,,,,,,,, +高原薤,Allium jacquemontii,青藏队,76-8048,19760621,西藏自治区,4600,河边砂砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939441.jpg,,,,,,,,,, +高原葱,Allium jacquemontii,不祥,784,19640828,青海省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/165909.jpg,,,,,,,,,, +高原薤,Allium jacquemontii,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201628,20200809,西藏,4276,干旱山坡上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1553074.jpg,,,,,,,,,, +钟花韭,Allium kingdonii,"李渤生,程树志",6140,19830804,西藏自治区,4700,高山灌丛草甸中时见,,,https://image.cvh.ac.cn/files/l/PE/02072540.jpg,,,,,,,,,, +钟花韭,Allium kingdonii,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-1150,20080726,西藏,3999,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391276.jpg,,,,,,,,,, +,Allium kingdonii,"F. Ludlow, G. Sherriff & H. H. Elliot",15387,1947/7/11,,4419,,,,https://image.cvh.ac.cn/files/l/HUH/A00029823.jpg,,,,,,,,,, +大花韭,Allium macranthum,T.N.Liou & P.C.Tsoong,811,19370911,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00115231.jpg,,,,,,,,,, +大花韭,Allium macranthum,张挺,李爱花等,08CS780,20080917,西藏,3349,河边灌丛,草本,,https://image.cvh.ac.cn/files/l/KUN/1391286.jpg,,,,,,,,,, +大花韭,Allium macranthum,汤宗孝,500,19820726,四川省,4100,山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01595323.jpg,,,,,,,,,, +薤白,Allium macrostemon,W.Y.Hsia,3016,19310805,内蒙古自治区,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01570799.jpg,,,,,,,,,, +薤白,Allium macrostemon,宁夏中草药组,1-0236,1972/7/14,宁夏,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0293453.jpg,,,,,,,,,, +薤白,Allium macrostemon,C.L.Tso,641,1926/5/5,江苏; KIANGSU,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00022616.jpg,,,,,,,,,, +滇韭,Allium mairei,陈晓澄等,6896,20140813,西藏,2799,混叶林下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019252.jpg,,,,,,,,,, +尖嘴苔草,Allium mairei,赵蕊,BJTC009344,20190702,北京市,1001,林地,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC009344.jpg,,,,,,,,,, +滇韭,Allium mairei,"李渤生,倪志诚,程树志",6843,19830827,西藏自治区,2300,河谷岩石上时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072542.jpg,,,,,,,,,, +茂汶薤,Allium maowenense,,8498,1975-7 2,四川省,1500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0164632.jpg,,,,,,,,,, +短葶山葱,Allium nanodes,余奇,郑臣臣,苏翠萍,胡苏,CIBYQ014B010,20180803,四川,4677,,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1503100.jpg,,,,,,,,,, +短葶韭,Allium nanodes,D.E.Boufford et al.,42239,20100724,四川省,4600~4700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005712.jpg,,,,,,,,,, +短葶韭,Allium nanodes,T.T.Yu,12811,19370821,云南省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00033769.jpg,,,,,,,,,, +,Allium pevtzovii,青藏队,992,19870814,新疆维吾尔自治区,3000,山坡岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00034231.jpg,,,,,,,,,, +帕里韭,Allium phariense,青藏队植被组,5009,19750708,西藏自治区,4800~5200,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487933.jpg,,,,,,,,,, +帕里韭,Allium phariense,高云东,鞠文彬,杨焰,THP-KD-2003,20170717,四川,4300~4400,流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0256182.jpg,,,,,,,,,, +太白韭,Allium prattii,郭永杰,张桥蓉,李春晓,张继,11CS3519,20110919,云南,4561,高山流石滩,草本,,https://image.cvh.ac.cn/files/l/KUN/1391352.jpg,,,,,,,,,, +太白韭,Allium prattii,"Zhu, Chen, Xu,Wang",1370,19990630,陕西省,3100,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867435.jpg,,,,,,,,,, +太白韭,Allium prattii,郭成勇,20062-223-1,20060602,山东省,1000,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01867429.jpg,,,,,,,,,, +青甘韭,Allium przewalskianum,夏昌军,GanQL1434,20181013,湖北,853,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1451165.jpg,,,,,,,,,, +青甘韭,Allium przewalskianum,李渤生,11372,19870904,新疆维吾尔自治区,4200,山坡 砾石 平台常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468919.jpg,,,,,,,,,, +青甘韭,Allium przewalskianum,黄文娟,段黄金等,LiZJ0879,20080915,新疆,3714,山前戈壁,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391404.jpg,,,,,,,,,, +野韭,Allium ramosum,张磊,汪艳,zlnmu2022283,20220819,宁夏,1224,荒漠草原,草本,有花无果,https://image.cvh.ac.cn/files/l/NMU/NMU01294.jpg,,,,,,,,,, +野韭,Allium ramosum,高云东,李忠荣,鞠文彬,GaoXF-12-099,20120921,四川,2411,干热河谷河谷坡地,草本,,https://image.cvh.ac.cn/files/l/KUN/1391431.jpg,,,,,,,,,, +野韭,Allium ramosum,S.Kharkevich et al.,s.n.,19950825,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01643378.jpg,,,,,,,,,, +,Allium rhabdotum,,,,,,,,,,,,,,,,,,, +野黄韭,Allium rude,刘尚武,332,19650808,青海省,4400,山坡 石岩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532587.jpg,,,,,,,,,, +野黄韭,Allium rude,高云东,李忠荣,鞠文彬,GaoXF-12-044,20120919,四川,3736,高山草地公路边坡地,草本,,https://image.cvh.ac.cn/files/l/KUN/1391439.jpg,,,,,,,,,, +野黄韭,Allium rude,陈世龙,高庆波,张发起等,ChenSL1072,20100817,青海,3700,高山河谷,灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391438.jpg,,,,,,,,,, +蒜,Allium sativum,陈焕镛,11877,19340428,广东省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0637856.jpg,,,,,,,,,, +蒜,Allium sativum,侯元同,郭成勇,侯元免,孙卫卫,高会芳,吕晓晨,20170514505-1,20170514,山东省,30.39,田地,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0030564.jpg,,,,,,,,,, +,Allium sativum,王清江,1528,19580512,福建省,,,,有花有果,https://image.cvh.ac.cn/files/l/Au/002985.jpg,,,,,,,,,, +高山韭,Allium sikkimense,何华杰,张书东,8962,20080912,西藏,4580,砂坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391467.jpg,,,,,,,,,, +高山韭,Allium sikkimense,齐威 ,LJQ-2008-GN-194,20080826,甘肃,2515,干旱石砾河滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391465.jpg,,,,,,,,,, +高山韭,Allium sikkimense,,s.n.,,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00139427.jpg,,,,,,,,,, +管花葱,Allium siphonanthum,Delavay,4712,18900904,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00034345.jpg,,,,,,,,,, +管花葱,Allium siphonanthum,刘成,蔡杰,13CS6776,20131107,云南,1914,干热河谷石灰岩山坡灌丛,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1396559.jpg,,,,,,,,,, +松潘韭,Allium songpanicum,K.T.Fu,2200,19371022,四川省,1650,among bushes or on weedy place,herb perennial,有花无果,https://image.cvh.ac.cn/files/l/PE/00034346.jpg,,,,,,,,,, +松潘韭,Allium songpanicum,T.P.Wang,7947,1937/10/23,四川,1600,,"herb,with stong odor",无花无果,https://image.cvh.ac.cn/files/l/WUK/0028411.jpg,,,,,,,,,, +,Allium spicatum,,,,,,,,,,,,,,,,,,, +唐古韭,Allium tanguticum,Przewalski,,1880,甘肃; KANSU,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00022664.jpg,,,,,,,,,, +唐古韭,Allium tanguticum,何叶琪,938,1958/10/3,甘肃,1000,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0160738.jpg,,,,,,,,,, +唐古韭,Allium tanguticum,张永洪,王晓雄,周卓,岳亮亮,SunH-07ZX-0556,20080721,西藏,2796,干热河谷,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391500.jpg,,,,,,,,,, +球序韭,Allium thunbergii,邓良,52,,山西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0637901.jpg,,,,,,,,,, +球序韭,Allium thunbergii,延边一组,640,19590908,吉林省,,湿草甸(落叶松林下),,有花无果,https://image.cvh.ac.cn/files/l/PE/00156018.jpg,,,,,,,,,, +球序韭,Allium thunbergii,黄迎新,810,20150725,黑龙江省齐齐哈尔市,287,草甸/低湿地草甸/黑钙土,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0229771.jpg,,,,,,,,,, +,Allium tuberosum,刘媖心、杨喜林,830543,19830801,内蒙古,,,,有花无果,https://image.cvh.ac.cn/files/l/LZD/LZD0002755.jpg,,,,,,,,,, +韭,Allium tuberosum,"周洪富,粟和毅",110247,1964/8/24,四川,1280,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0239118.jpg,,,,,,,,,, +韭,Allium tuberosum,Lin Pi,6455,1926/9/9,福建; FUKIEN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00022675.jpg,,,,,,,,,, +多星韭,Allium wallichii,Forrest,6865,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00022691.jpg,,,,,,,,,, +多星韭,Allium wallichii,兴安县普查队,450325140928030LY ,20140928,广西,2106,灌丛,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0109775.jpg,,,,,,,,,, +多星韭,Allium wallichii,"汤宗孝,柏正强,任文夫",380,19930803,四川省,3300,草甸草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01645039.jpg,,,,,,,,,, +乡城韭,Allium xiangchengense,蒋兴麏,36674,19530831,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00038090.jpg,,,,,,,,,, +西川韭,Allium xichuanense,汤宗孝,625,19820805,四川省,3900,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01595332.jpg,,,,,,,,,, +齿被韭,Allium yuanum,"汤彦承,许介眉,潘开玉",95,19750907,四川省,2600,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00156827.jpg,,,,,,,,,, +齿被韭,Allium yuanum,,305,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00034451.jpg,,,,,,,,,, +齿被韭,Allium yuanum,陈晓澄等,4828,20130814,青海,4060,高山沼泽草甸及流石滩阳坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019266.jpg,,,,,,,,,, +尖尾芋,Alocasia cucullata,H.Y.Liang,64689,19540115,海南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0610988.jpg,,,,,,,,,, +尖尾芋,Alocasia cucullata,S.W.Teng,4012,19351210,贵州省,0,,Herb,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0611373.jpg,,,,,,,,,, +尖尾芋,Alocasia cucullata,张海道,1869,19570716,海南省,0~80,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0610989.jpg,,,,,,,,,, +,Alocasia fallax,,,,,,,,,,,,,,,,,,, +,Alocasia fornicata,,,,,,,,,,,,,,,,,,, +热亚海芋,Alocasia macrorrhizos,何明娟,20185318,20180420,贵州省,593,路边石上,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0027174.jpg,,,,,,,,,, +,Alocasia macrorrhizos,02级第八组,47,20050707,福建省,,"盆地,红壤,湿润,阳光充足",草本,无花无果,https://image.cvh.ac.cn/files/l/AU/035071.jpg,,,,,,,,,, +热亚海芋,Alocasia macrorrhizos,王定跃,786,19900626,广东省,150,山谷林中,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00042803.jpg,,,,,,,,,, +海芋,Alocasia odora,王桂娟,C310008,20170315,云南,570,C31引种号:无号,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026773.jpg,,,,,,,,,, +箭叶海芋,Alocasia odora,殷建涛,47,20030316,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/106360.jpg,,,,,,,,,, +,Alocasia odora,C.O.Levine,s.n.,19170502,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01604179.jpg,,,,,,,,,, +看麦娘,Alopecurus aequalis,野田光藏等,483,19500512,黑龙江省,,堤旁岩石隙间砂土地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00284129.jpg,,,,,,,,,, +看麦娘,Alopecurus aequalis,D.E.Boufford et al.,26446,19940603,河南省,1250~1350,Mucky margin of dried-up pond,,无花无果,https://image.cvh.ac.cn/files/l/PE/01681682.jpg,,,,,,,,,, +看麦娘,Alopecurus aequalis,"朱,刘",494,20030428,浙江省,,山坡路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437563.jpg,,,,,,,,,, +,Alphonsea lutea,,,,,,,,,,,,,,,,,,, +,Alphonsea ventricosa,H.H.Haines,2366,1907-06-,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0077173.jpg,,,,,,,,,, +云南草蔻,Alpinia blepharocalyx,青藏队植被组,2827,19740830,西藏自治区,850,山坡 路边 北至西,,无花有果,https://image.cvh.ac.cn/files/l/PE/01485411.jpg,,,,,,,,,, +云南草蔻,Alpinia blepharocalyx,张永田,2216,1960.4.2,贵州省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0020746.jpg,,,,,,,,,, +云南草蔻,Alpinia blepharocalyx,杨平、农时越、农素芸等,BL444,20200413,广西,~898,石灰岩石山;少见,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00429244.jpg,,,,,,,,,, +无斑山姜,Alpinia emaculata,"童绍全,李安明",24909,19840430,云南省,880,沟边林下潮湿,,,https://image.cvh.ac.cn/files/l/KUN/1268280.jpg,,,,,,,,,, +无斑山姜,Alpinia emaculata,杨,王,黄,李增柱,李任斌,YDDXSA019,20070923,云南,1780,原始森林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390796.jpg,,,,,,,,,, +毛瓣山姜,Alpinia malaccensis,Pavlos Georgiadis,667,20110615,云南省,1678,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01897141.jpg,,,,,,,,,, +毛瓣山姜,Alpinia malaccensis,,2581,19740915,西藏自治区,650,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01790316.jpg,,,,,,,,,, +毛瓣山姜,Alpinia malaccensis,黄建平,C290235,20190227,云南,570,,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030622.jpg,,,,,,,,,, +黑果山姜,Alpinia nigra,蒋露,6353,20060911,广东省,,,直立草本,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00057780.jpg,,,,,,,,,, +黑果山姜,Alpinia nigra,叶金科,YNS0395,20081129,云南,871,河边林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390835.jpg,,,,,,,,,, +黑果山姜,Alpinia nigra,谭策铭,易桂花,黄宝优,15111651,20151107,广西壮族自治区,90~100,园内栽培,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/JJF/JJF00035084.jpg,,,,,,,,,, +,Alseodaphnopsis andersonii,,,,,,,,,,,,,,,,,,, +长柄油丹,Alseodaphnopsis petiolaris,郑林丽,C250525,20150617,云南,570,,乔木,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0185899.jpg,,,,,,,,,, +,Alsophila costularis,陈伟烈,10936,19800706,西藏自治区,1300,沟谷林中,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00452329.jpg,,,,,,,,,, +,Alsophila costularis,红水河植物考察队,365,19890502,广西壮族自治区,1100,山地、山谷,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02018831.jpg,,,,,,,,,, +中华桫椤,Alsophila costularis,刘恩德,方伟,徐洲锋,赵倩茹,秦凤,3631,20120325,云南省 ,1999,forest margin in thickets,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1251649.jpg,,,,,,,,,, +桫椤,Alsophila spinulosa,H. T. Tsai,52439,19321219,云南省 ,1800,On shruby hill,tree,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00292573.jpg,,,,,,,,,, +,Alsophila spinulosa,"张寿洲,李良千等",920,20050502,广东省,100~200,沟谷,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01808525.jpg,,,,,,,,,, +,Alsophila spinulosa,王中仁,86963,19860909,贵州省,530,阴湿山沟,酸性环境,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01384580.jpg,,,,,,,,,, +穗花杉,Amentotaxus argotaenia,熊耀国,6372,19471015,江西省,,山间,,无花无果,https://image.cvh.ac.cn/files/l/PE/00001863.jpg,,,,,,,,,, +穗花杉,Amentotaxus argotaenia,北京队,892374,19890508,广西壮族自治区,1200,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01980009.jpg,,,,,,,,,, +穗花杉,Amentotaxus argotaenia,詹选怀、彭焱松等,LXP7334,20170816,湖北,463,山谷、溪边,乔木,无花无果,https://image.cvh.ac.cn/files/l/LBG/LBG00136287.jpg,,,,,,,,,, +穿鞘花,Amischotolype hispida,中越考察队,552,19641218,义安,260~75,山沟边,,有果无花,https://image.cvh.ac.cn/files/l/KUN/231642.jpg,,,,,,,,,, +穿鞘花,Amischotolype hispida,海南东队,730,19541115,海南省,,高山,山脊,山谷,密林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00622730.jpg,,,,,,,,,, +穿鞘花,Amischotolype hispida,左景烈,陈念劬,43547,19320818,海南省 ,0~1700,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0632361.jpg,,,,,,,,,, +,Amischotolype hookeri,云南一组,231,19670700,云南省,,沟谷林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00622789.jpg,,,,,,,,,, +尖果穿鞘花,Amischotolype hookeri,陈少卿,13620,19570811,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/048129.jpg,,,,,,,,,, +,Amischotolype hookeri,青藏队植被组,2866,19740830,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060739.jpg,,,,,,,,,, +,Amischotolype mollissima,,,,,,,,,,,,,,,,,,, +,Amitostigma farreri,,,,,,,,,,,,,,,,,,, +,Amitostigma papilionaceum,,,,,,,,,,,,,,,,,,, +,Amitostigma physoceras,,,,,,,,,,,,,,,,,,, +,Amitostigma simplex,,,,,,,,,,,,,,,,,,, +,Amitostigma tibeticum,,,,,,,,,,,,,,,,,,, +,Amitostigma trifurcatum,,,,,,,,,,,,,,,,,,, +,Amitostigma yuanum,,,,,,,,,,,,,,,,,,, +,Amomum arunachalense,,,,,,,,,,,,,,,,,,, +长果砂仁,Amomum dealbatum,"童绍全,夏永梅",24978,19860617,云南省,1200,箐沟中,,,https://image.cvh.ac.cn/files/l/KUN/1268327.jpg,,,,,,,,,, +长果砂仁,Amomum dealbatum,李永亮等,YDDXS0904,20111101,云南,1850,亚热针阔混交林,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1390868.jpg,,,,,,,,,, +长果砂仁,Amomum dealbatum,青藏队,1700,19740810,西藏自治区,830,山坡常绿林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/424111.jpg,,,,,,,,,, +九翅砂仁,Amomum maximum,,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01376864.jpg,,,,,,,,,, +九翅豆蔻,Amomum maximum,李泽贤,4532,1988.5.1,海南岛,400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0021544.jpg,,,,,,,,,, +九翅砂仁,Amomum maximum,236-6队,3915,19810715,海南省,100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00074504.jpg,,,,,,,,,, +,Amomum nimkeyense,,,,,,,,,,,,,,,,,,, +,Amomum riwatchii,,,,,,,,,,,,,,,,,,, +头花砂,Amomum subcapitatum,黄荣福,211,19790626,西藏自治区,1600,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/84823.jpg,,,,,,,,,, +头花砂仁,Amomum subcapitatum,"夏永梅,李庆军",42775,19931026,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/084996.jpg,,,,,,,,,, +香豆蔻,Amomum subulatum,陈伟烈,14400,19800819,西藏自治区,1400,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376868.jpg,,,,,,,,,, +香豆蔻,Amomum subulatum,裴盛基,14067,19760819,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/048533.jpg,,,,,,,,,, +西藏豆蔻,Amomum tibeticum,"郭永杰, 王雨华, 杨立新, 李姗",18CS16847,20180508,西藏,1095,常绿阔叶林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486984.jpg,,,,,,,,,, +,Amomum xizangense,,,,,,,,,,,,,,,,,,, +,Amorphophallus bognerianus,,,,,,,,,,,,,,,,,,, +珠芽磨芋,Amorphophallus bulbifer,殷建涛,77,20030318,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/106362.jpg,,,,,,,,,, +珠芽磨芋,Amorphophallus bulbifer,,657,19700512,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00132534.jpg,,,,,,,,,, +株芽魔芋,Amorphophallus bulbifer,赵见明,徐小伟,张新瑜,陈明,ZeSZ14033,20140724,云南,870,果园地,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1437877.jpg,,,,,,,,,, +,Amorphophallus commutatus,,,,,,,,,,,,,,,,,,, +,Amorphophallus kachinensis,,,,,,,,,,,,,,,,,,, +疣柄磨芋,Amorphophallus paeoniifolius,殷建涛,227,20030509,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/107031.jpg,,,,,,,,,, +,Ampelocalamus microphyllus,马朋飞,蔡兆明,10136,20100702,四川省,855,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1232198.jpg,,,,,,,,,, +,Ampelocalamus patellaris,孙吉良,21437,19770905,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/069897.jpg,,,,,,,,,, +碟环竹,Ampelocalamus patellaris,方震东、和光,XZ-370,20070926,西藏自治区,2062,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003847.jpg,,,,,,,,,, +,Ampelocalamus patellaris,张玉霄,罗亚皇,李苗苗,12222,20120913,云南省 ,1912,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1235119.jpg,,,,,,,,,, +尖齿蛇葡萄,Ampelopsis acutidentata,"郭永杰, 亚吉东, 苏勇",14CS9412,20140720,四川,,河边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395429.jpg,,,,,,,,,, +尖齿蛇葡萄,Ampelopsis acutidentata,青藏队,3158,19810803,四川省,2600,山坡 碎石坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01128765.jpg,,,,,,,,,, +尖齿蛇葡萄,Ampelopsis acutidentata,青藏科考队,11677,19760602,西藏自治区,3000,路边,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00624187.jpg,,,,,,,,,, +,Ampelopsis gongshanensis,,,,,,,,,,,,,,,,,,, +毛叶蛇葡萄,Ampelopsis mollifolia,T.P.Fang,1375,19330727,山西省,0~1400,,,无花有果,https://image.cvh.ac.cn/files/l/N/106170061.jpg,,,,,,,,,, +毛叶蛇葡萄,Ampelopsis mollifolia,W.Y.Chun,4057,19220822,湖北省,0~1950,,,无花有果,https://image.cvh.ac.cn/files/l/N/106170062.jpg,,,,,,,,,, +毛叶蛇葡萄,Ampelopsis mollifolia,青藏队,11998,19830714,四川省,1300,江边灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01128776.jpg,,,,,,,,,, +西康扁桃,Amygdalus tangutica,洮河队,3141,1957/5/26,甘肃,2600,,直立 灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0091405.jpg,,,,,,,,,, +西康扁桃,Amygdalus tangutica,Fu Kun Fsun,1896,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01608949.jpg,,,,,,,,,, +西康扁桃,Amygdalus tangutica,Potanin,,,甘肃; KANSU,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00078028.jpg,,,,,,,,,, +尖叶香青,Anaphalis acutifolia,FLPH Tibet Expedition,12-1778,20120919,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967493.jpg,,,,,,,,,, +尖叶香青,Anaphalis acutifolia,F.H.Utech,103,19800524,华盛顿,405,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0039528.jpg,,,,,,,,,, +尖叶香青,Anaphalis acutifolia,白龙江考察队,96,19980716,甘肃省,1550,山地 灌丛 山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537113.jpg,,,,,,,,,, +巴塘香青,Anaphalis batangensis,郎楷永 李良千等,2477,19830729,四川省,4200,云杉 林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029943.jpg,,,,,,,,,, +二色香青,Anaphalis bicolor,"张建文,杨斌,陈洪梁",Zh399,20130825,青海省,3547,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043314.jpg,,,,,,,,,, +二色香青,Anaphalis bicolor,PE西藏队,PE5729,20170903,西藏自治区,1683~2953,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333934.jpg,,,,,,,,,, +二色香青,Anaphalis bicolor,D.E.Boufford et al.,43513,20130909,云南省,2850~2950,"On moist,steep slopes in dark,rich soil.",,有花无果,https://image.cvh.ac.cn/files/l/PE/02021978.jpg,,,,,,,,,, +茧衣香青,Anaphalis chlamydophylla,联大,21046,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0038491.jpg,,,,,,,,,, +,Anaphalis chlamydophylla,"Forrest, George",2354,6-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00385849.jpg,,,,,,,,,, +茧衣香青,Anaphalis chlamydophylla,,22601,19590808,云南省,3650,草丛边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01576854.jpg,,,,,,,,,, +中甸香青,Anaphalis chungtienensis,"汤宗孝,田效文,张正华",579,19810714,云南省,3450,云杉冷杉林下路旁阴湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01830494.jpg,,,,,,,,,, +中甸香青,Anaphalis chungtienensis,方震东,方K-4937,20020704,云南,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008806.jpg,,,,,,,,,, +密聚灰毛香青,Anaphalis cinerascens,武素功,2270,19590717,四川省,4350,"破山,山顶阳处",,有花有果,https://image.cvh.ac.cn/files/l/PE/00492901.jpg,,,,,,,,,, +灰毛香青,Anaphalis cinerascens,中甸队,2085,19620916,云南省,4200,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00492900.jpg,,,,,,,,,, +苍山香青,Anaphalis delavayi,陈又生,8088,20080818,云南省,3900,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113373.jpg,,,,,,,,,, +苍山香青,Anaphalis delavayi,蔡希陶,58038,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0038592.jpg,,,,,,,,,, +苍山香青,Anaphalis delavayi,尹志坚,唐颖,胡国雄等,H-滇大理-Z 3225,20100808,云南,4000,山脊,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512177.jpg,,,,,,,,,, +雅致香青,Anaphalis elegans,D.E. Boufford et al.,43198,20130823,四川省,3275,"Forest of mostly dwarf Quercus with scattered remnant trees.On steep,moist,rocky slope.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01911368.jpg,,,,,,,,,, +雅致香青,Anaphalis elegans,FLPH Tibet Expedition,12-2160,,西藏自治区,3350,阴坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967520.jpg,,,,,,,,,, +雅致香青,Anaphalis elegans,"田效文,张正华,汤宗孝",580,19810714,云南省,3450,云杉、冷杉林下路旁阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01576868.jpg,,,,,,,,,, +纤枝香青,Anaphalis gracilis,"张建文,杨斌,陈洪梁",Zh814,20130910,四川省,3967,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064967.jpg,,,,,,,,,, +纤枝香青,Anaphalis gracilis,D.A.P.Collections,42020,19941228,云南省,1950,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01577016.jpg,,,,,,,,,, +短尾铁线莲,Anaphalis gracilis,贾格晖,BJTC008986,20190701,北京市,821,山坡,藤本,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008986.jpg,,,,,,,,,, +膜苞香青,Anaphalis hymenolepis,"汤宗孝,柏正强,任文夫",472,19930804,四川省,3350,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00545265.jpg,,,,,,,,,, +膜苞香青,Anaphalis hymenolepis,T.P.Wang,6990,19370703,甘肃省,2800,on weedy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00493319.jpg,,,,,,,,,, +乳白香青,Anaphalis lactea,科学院黄河队甘一队,2409,1956/08/00,宁夏,,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0083426.jpg,,,,,,,,,, +乳白香青,Anaphalis lactea,太白队,55072,19550701,陕西省,2500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01577056.jpg,,,,,,,,,, +乳白香青,Anaphalis lactea,,221,19860620,宁夏回族自治区,,山地草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01577055.jpg,,,,,,,,,, +德钦香青,Anaphalis larium,北京所横断山队,3643,19810824,云南省,4150~4400,高山 灌丛草甸常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190558.jpg,,,,,,,,,, +德钦香青,Anaphalis larium,C.W.Wang,64954,1935/05/,云南,3000,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0034728.jpg,,,,,,,,,, +德钦香青,Anaphalis larium,FLPH Tibet Expedition,12-1378,20120916,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967467.jpg,,,,,,,,,, +绿宽翅香青,Anaphalis latialata,D.E. Boufford et al.,41543,20090731,西藏自治区,3510~3550,"Slopes along river and with scattered remnant Picea higher up on slope,and moist areas along a small stream leading into Re Qu.Meadow on slope in dark,rich soil",,有花无果,https://image.cvh.ac.cn/files/l/PE/01919903.jpg,,,,,,,,,, +宽翅香青,Anaphalis latialata,何叶琪,4850,1959/7/14,甘肃省,2500,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0390535.jpg,,,,,,,,,, +宽翅香青,Anaphalis latialata,余岩、陈俊佩,2020601,20200716,四川,3692,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02020601.jpg,,,,,,,,,, +丽江香青,Anaphalis likiangensis,陈又生,8070,20080815,云南省,3400,山顶草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113376.jpg,,,,,,,,,, +,Anaphalis likiangensis,"Delavay, J.M.",,1886-4-14,,,,,,https://image.cvh.ac.cn/files/l/P/P01816366.jpg,,,,,,,,,, +丽江香青,Anaphalis likiangensis,谭少林,YLDP225C,20140928,云南,,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1446560.jpg,,,,,,,,,, +锐叶香青,Anaphalis oxyphylla,Gaoligong Shan Biodiversity Survey,31323,20060821,云南省,3980,Growing on rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671567.jpg,,,,,,,,,, +锐叶香青,Anaphalis oxyphylla,青藏队,1032,19740914,西藏自治区,3900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502291.jpg,,,,,,,,,, +锐叶香青,Anaphalis oxyphylla,Feng (冯国楣),8365,19401011,云南,,岩坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219854.jpg,,,,,,,,,, +褶苞香青,Anaphalis plicata,杨竞生,89-028,19891018,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0516585.jpg,,,,,,,,,, +褶苞香青,Anaphalis plicata,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201755,20200815,西藏,3788,荒坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1508974.jpg,,,,,,,,,, +紫苞香青,Anaphalis porphyrolepis,FLPH Tibet Expedition,12-1756,20120919,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967491.jpg,,,,,,,,,, +紫苞香青,Anaphalis porphyrolepis,夏光成等,725,19600810,西藏,4000,高山岭草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219857.jpg,,,,,,,,,, +红指香青,Anaphalis rhododactyla,"汤宗孝,田效文,孙庆国",348,19820713,四川省,4450,高山灌丛草场,,有花无果,https://image.cvh.ac.cn/files/l/PE/01577361.jpg,,,,,,,,,, +红指香青,Anaphalis rhododactyla,,1076,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01577364.jpg,,,,,,,,,, +红指香青,Anaphalis rhododactyla,朱格鳞,782,19570711,青海,,半阴湿草地,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092997.jpg,,,,,,,,,, +,Anaphalis souliei,,686,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502524.jpg,,,,,,,,,, +蜀西香青,Anaphalis souliei,余岩、李娟,2021377,20200718,四川,3822,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02021377.jpg,,,,,,,,,, +蜀西香青,Anaphalis souliei,,62(6),19810805,云南省,3610,亚高山灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502516.jpg,,,,,,,,,, +灰叶香青,Anaphalis spodiophylla,"夏光成, 米泰康",396,19600824,西藏,3200,山野路旁向阳,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219858.jpg,,,,,,,,,, +灰叶香青,Anaphalis spodiophylla,,110(6),19810915,云南省,3140,疏林草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01577536.jpg,,,,,,,,,, +灰叶香青,Anaphalis spodiophylla,,Q136,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01484947.jpg,,,,,,,,,, +,Anaphalis stenocephala,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-022-B07,20160807,四川,,,多年生亚灌木状草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610207.jpg,,,,,,,,,, +,Anaphalis stenocephala,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-025-B12,20160809,云南,,,多年生亚灌木状草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609588.jpg,,,,,,,,,, +狭苞香青,Anaphalis stenocephala,王启无C. W. Wang,66528,19350900,西藏,3200,Pine forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219859.jpg,,,,,,,,,, +亚灌木香青,Anaphalis suffruticosa,C.W.Wang,69320,19360900,云南省 ,3000,Mount.slope,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00480013.jpg,,,,,,,,,, +,Anaphalis suffruticosa,,21398,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0062343.jpg,,,,,,,,,, +,Anaphalis suffruticosa,四川省林业厅勘察设计院森林勘察第二大队,57-0336,,四川省,2580,山坡下部2/3,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502559.jpg,,,,,,,,,, +,Anaphalis szechuanensis,"Smith, Karl August Harald",12565,30-Sep-34,,,,,,https://image.cvh.ac.cn/files/l/E/E00385847.jpg,,,,,,,,,, +四川香青,Anaphalis szechuanensis,吴玉虎等,5103,19900727,青海省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/177712.jpg,,,,,,,,,, +四川香青,Anaphalis szechuanensis,松潘小组,1466,19590904,四川省,3000,河谷杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830510.jpg,,,,,,,,,, +细弱香青,Anaphalis tenuisissima,姜恕等,5121,19610609,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502617.jpg,,,,,,,,,, +细弱香青,Anaphalis tenuisissima,杨昌友,750906,19750820,新疆维吾尔自治区,2800,河谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502614.jpg,,,,,,,,,, +西藏香青,Anaphalis tibetica,方震东、和光、刘琳、郑群英、李红、史效武、陈洁、赵卫东,K-500,20020628,云南省,4660,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006860.jpg,,,,,,,,,, +西藏香青,Anaphalis tibetica,吴玉虎,33699,20050713,青海省,4100,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0215561.jpg,,,,,,,,,, +西藏香青,Anaphalis tibetica,D.E. Boufford et al.,29691,20000725,西藏自治区,3950,"Moist,open slope along N side of Rawu Lake.On rock ledge",,有花无果,https://image.cvh.ac.cn/files/l/PE/01919886.jpg,,,,,,,,,, +黄绿香青,Anaphalis virens,王启无,66453,19350000,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00480015.jpg,,,,,,,,,, +黄绿香青,Anaphalis virens,C.W.Wang,66453,1935/09/,云南,3500,,Oak Wood,有花无果,https://image.cvh.ac.cn/files/l/WUK/0035411.jpg,,,,,,,,,, +黄绿香青,Anaphalis virens,植被调查队,乡2742,19730624,四川省,3900,高山松林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830399.jpg,,,,,,,,,, +绿香青,Anaphalis viridis,滇西北金沙江队,4496,19630628,云南省,4300,雪浅附近石砾间,,有花无果,https://image.cvh.ac.cn/files/l/PE/01577547.jpg,,,,,,,,,, +,Anaphalis viridis,彭玉兰、涂卫国、幸福,Gaoxf0067,20080714,四川,4300,高山草矮灌丛甸,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0206854.jpg,,,,,,,,,, +绿香青,Anaphalis viridis,省动物研究所,81,1984/07/00,青海省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0448241.jpg,,,,,,,,,, +兜蕊兰,Androcorys ophioglossoides,Ho Ting Nung et al.,801,19930723,青海省,3980,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644845.jpg,,,,,,,,,, +兜蕊兰,Androcorys ophioglossoides,T.N.Liou et P.C.Tsoong,3608,1938/8/17,陕西,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0029058.jpg,,,,,,,,,, +兜蕊兰,Androcorys ophioglossoides,何廷农,2843,19910727,甘肃省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/166080.jpg,,,,,,,,,, +,Androcorys oxysepalus,,,,,,,,,,,,,,,,,,, +剑唇兜蕊兰,Androcorys pugioniformis,Luo Yi-bo,853,20020730,四川省,3450,石堆中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867309.jpg,,,,,,,,,, +剑唇兜蕊兰,Androcorys pugioniformis,金效华,8413,20060828,,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866817.jpg,,,,,,,,,, +剑唇兜蕊兰,Androcorys pugioniformis,秦岭队,10388,19580707,陕西省,,草地 阴处 岩石旁 路旁 潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911430.jpg,,,,,,,,,, +,Androcorys spiralis,,,,,,,,,,,,,,,,,,, +西藏须芒草,Andropogon munroi,刘艳春等,248,20080927,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221322.jpg,,,,,,,,,, +西藏须芒草,Andropogon munroi,余奇、周晓雪,THP-KD-4178,20170712,四川,3380~3447,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0256074.jpg,,,,,,,,,, +,Andropogon munroi,胡君、王东超、李丽、李奥奥、曾思源、黄欣,sc-a-025-B19,20160809,云南,3146,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273632.jpg,,,,,,,,,, +腺序点地梅,Androsace adenocephala,周太炎等,651218,19650803,新疆,2060,草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/89126.jpg,,,,,,,,,, +腺序点地梅,Androsace adenocephala,青藏队,3606,1975.5.2,西藏省,3740,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014421.jpg,,,,,,,,,, +腺序点地梅,Androsace adenocephala,冯国楣,12034,19470925,云南省,1500,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/484009.jpg,,,,,,,,,, +花叶点地梅,Androsace alchemilloides,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/074732.jpg,,,,,,,,,, +花叶点地梅,Androsace alchemilloides,亚吉东,冯明建,李昌洪,20CS19098,20200704,云南,3800,流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505606.jpg,,,,,,,,,, +花叶点地梅,Androsace alchemilloides,C.W.Wang,71665,19350700,四川省,2700,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0045470.jpg,,,,,,,,,, +昌都点地梅,Androsace bisulca,,750691,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01646952.jpg,,,,,,,,,, +昌都点地梅,Androsace bisulca,PE西藏考察队,7235,20180614,西藏自治区,4163,河谷坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332502.jpg,,,,,,,,,, +昌都点地梅,Androsace bisulca,西藏队,1521,1961.6.8,西藏,4300,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014443.jpg,,,,,,,,,, +玉门点地梅,Androsace brachystegia,刘家宜,8,19780527,河北省,1450,小山坡,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00025081.jpg,,,,,,,,,, +,Androsace brachystegia,青藏队横断山队,1307,19810621,云南省,4220,高山灌草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01493869.jpg,,,,,,,,,, +玉门点地梅,Androsace brachystegia,马富,5931,19590830,山西省,,山沟,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0324556.jpg,,,,,,,,,, +景天点地梅,Androsace bulleyana,康藏考察队,10-2349,20100819,西藏自治区,2738~2780,山谷山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966869.jpg,,,,,,,,,, +景天点地梅,Androsace bulleyana,236任务组,40,19720702,四川省,2600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803094.jpg,,,,,,,,,, +景天点地梅,Androsace bulleyana,"D.E.Bouffoud,L.Y.Chen,X.H.Li etc.",42070,20100719,云南省,2725~2750,extensive open area over coarse sand of alluvial fan under shrubs and on bank of small stream,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048251.jpg,,,,,,,,,, +弯花点地梅,Androsace cernuiflora,吴玉虎,32906,20050708,青海省,0~4900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0213581.jpg,,,,,,,,,, +弯花点地梅,Androsace cernuiflora,陈晓澄、肖洒,7776,20150804,青海,4096,裸岩灌丛、草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00022511.jpg,,,,,,,,,, +江孜点地梅,Androsace cuttingii,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1301,20130816,西藏自治区,4400,荒漠,,无花无果,https://image.cvh.ac.cn/files/l/PE/02000634.jpg,,,,,,,,,, +江孜点地梅,Androsace cuttingii,青藏队,3952,1975.6.1,西藏,4020,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014467.jpg,,,,,,,,,, +江孜点地梅,Androsace cuttingii,,5416,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01502487.jpg,,,,,,,,,, +裂叶点地梅,Androsace dissecta,T.T Yu,5679,19370524,四川省,3100,under wooods or upon shadt rocks,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909237.jpg,,,,,,,,,, +裂叶点地梅,Androsace dissecta,T.T Yu,19070,19380614,云南省,3500,under shady rocks,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909246.jpg,,,,,,,,,, +裂叶点地梅,Androsace dissecta,George Forrest,23048,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00087508.jpg,,,,,,,,,, +高葶点地梅,Androsace elatior,余岩、李娟,2022561,20200716,四川,4618,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02022561.jpg,,,,,,,,,, +高葶点地梅,Androsace elatior,T.N.Ho et al.,1989,19960818,青海省,3700,"Juniperus-Picea-Betula community on steep rocky slope,trees mostly fairly widely spaced,rarely more than 4m high,Growing in moss or loose soil in deep shade",,有花有果,https://image.cvh.ac.cn/files/l/PE/00087585.jpg,,,,,,,,,, +高葶点地梅,Androsace elatior,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",41926,20090804,西藏自治区,3900,logged Picea forest now dominated by Betula slopes and meadows in organically rich dark soil and with deep moss layer in many places in accumulated soil on surface of large boulder,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037089.jpg,,,,,,,,,, +大花点地梅,Androsace euryantha,Forrest,28526,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0041980.jpg,,,,,,,,,, +大花点地梅,Androsace euryantha,,614,19790802,四川,5200,,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM715700049.jpg,,,,,,,,,, +南疆点地梅,Androsace flavescens,武素功 黄荣福 杨永平,4654,19890710,新疆维吾尔自治区 ,3700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/153796.jpg,,,,,,,,,, +南疆点地梅,Androsace flavescens,新疆综考队,73,1959.5.1,新疆省,2900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014517.jpg,,,,,,,,,, +南疆点地梅,Androsace flavescens,西植新疆队,978,1978/7/5,新疆维吾尔族自治区,4100,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0334137.jpg,,,,,,,,,, +,Androsace forrestiana,PE西藏考察队,7781,20180624,西藏自治区,3105,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333963.jpg,,,,,,,,,, +,Androsace forrestiana,,,,,,,,,,,,,,,,,,, +圆叶点地梅,Androsace graceae,Feng,6435,19400809,云南省,3900~4200,岩坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052175.jpg,,,,,,,,,, +圆叶点地梅,Androsace graceae,青藏队横断山队,5845,19810830,四川省,4600,流石滩石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01493879.jpg,,,,,,,,,, +,Androsace graceae,"Forrest, George",13010,14-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00024852.jpg,,,,,,,,,, +禾叶点地梅,Androsace graminifolia,刘振书,1313,19340000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00087693.jpg,,,,,,,,,, +禾叶点地梅,Androsace graminifolia,PE西藏考察队,7245,20180614,西藏自治区,4163,河谷坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333319.jpg,,,,,,,,,, +禾叶点地梅,Androsace graminifolia,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496183.jpg,,,,,,,,,, +石莲叶点地梅,Androsace integra,王作宾,17576,1954/6/19,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0070859.jpg,,,,,,,,,, +石莲叶点地梅,Androsace integra,罗达尚、左振常,801420,1980.8.7,青海省,3620,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014608.jpg,,,,,,,,,, +石莲叶点地梅,Androsace integra,俞德浚,12898,19370827,四川,3000,mt slope open & sunny place,,有花无果,https://image.cvh.ac.cn/files/l/KUN/88854.jpg,,,,,,,,,, +康定点地梅,Androsace limprichtii,"川西队,关克俭,王文采等",357,19630725,四川省,3900,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092303.jpg,,,,,,,,,, +康定点地梅,Androsace limprichtii,,,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909487.jpg,,,,,,,,,, +小丛点地梅,Androsace minor,,10210,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00087980.jpg,,,,,,,,,, +小丛点地梅,Androsace minor,"蒋兴麟,熊济华",35882,19530606,四川省,3900,山林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00087978.jpg,,,,,,,,,, +小丛点地梅,Androsace minor,方震东,973,19880712,云南省,3450,硬叶阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003219.jpg,,,,,,,,,, +柔软点地梅,Androsace mollis,李馨,78146,19580721,四川省,4600,山岭草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00087988.jpg,,,,,,,,,, +柔软点地梅,Androsace mollis,C.W.Wang,69685,19350900,云南省 ,3500,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00093988.jpg,,,,,,,,,, +柔软点地梅,Androsace mollis,王启无,64868,19350800,云南省,3700,High alpine rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/00087986.jpg,,,,,,,,,, +卵叶点地梅,Androsace ovalifolia,西藏中草药普查队,335,19720617,西藏自治区,3750,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00087815.jpg,,,,,,,,,, +波密点地梅,Androsace pomeiensis,洪德元,409,1965.6.1,西藏省,3360,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014739.jpg,,,,,,,,,, +,Androsace rockii,"Rock, Joseph F.",9612,1923,,,,,,https://image.cvh.ac.cn/files/l/E/E00024876.jpg,,,,,,,,,, +鳞叶点地梅,Androsace squarrosula,高庆波、贾留坤,Gao2017149,20170804,青海,4312,荒漠草原,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027115.jpg,,,,,,,,,, +鳞叶点地梅,Androsace squarrosula,新疆综考队,422,1959.5.3,新疆省,3320,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014804.jpg,,,,,,,,,, +鳞叶点地梅,Androsace squarrosula,王庆瑞等,6309,19770729,甘肃省,0~4100,高山垭口冰碛坡地上,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/75889.jpg,,,,,,,,,, +,Androsace stenophylla,王乾、顾健,SCW0120,20200531,四川,4182,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274802.jpg,,,,,,,,,, +狭叶点地梅,Androsace stenophylla,钟补求,6328,1952.4.2,西藏省,3900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014808.jpg,,,,,,,,,, +,Androsace stenophylla,胡君、王东超、李丽、唐露,SC-a-074-B13,20180808,云南,,高山栎群落中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609898.jpg,,,,,,,,,, +绵毛点地梅,Androsace sublanata,德格队,1,19790522,四川,3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715700270.jpg,,,,,,,,,, +绵毛点地梅,Androsace sublanata,横断山队植被组,4825,19830803,四川省,3030,谷坡干旱 灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01538157.jpg,,,,,,,,,, +绵毛点地梅,Androsace sublanata,"T.Naito,K.Y.Lang,Y.Tateishi,T.Nemoto & B.S.Li",781,19860511,西藏自治区,3180,In or at the margin of Caragana jubata thicket on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00170719.jpg,,,,,,,,,, +粗毛点地梅,Androsace wardii,王辰,LZ043,20120710,西藏,4200,,,,https://image.cvh.ac.cn/files/l/BNU/0014109.jpg,,,,,,,,,, +粗毛点地梅,Androsace wardii,George Forrest,19602,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00088062.jpg,,,,,,,,,, +粗毛点地梅,Androsace wardii,青藏队补点组,751248,19750804,西藏自治区,4700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00171066.jpg,,,,,,,,,, +雅江点地梅,Androsace yargongensis,杨竞生,90-500,1990.9.1,西藏省,4900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014903.jpg,,,,,,,,,, +雅江点地梅,Androsace yargongensis,"关克俭,王文采等",1073,19630730,四川省,4300,高山流石滩石上成垫状生长,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052152.jpg,,,,,,,,,, +雅江点地梅,Androsace yargongensis,J.F.Rock,13040,19240700,甘肃省,4333,grassy gravelly slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00171081.jpg,,,,,,,,,, +察隅点地梅,Androsace zayulensis,西藏综考队,1613,19610711,西藏自治区,4500,多石砾及粗沙之山坡,南向坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496093.jpg,,,,,,,,,, +,Androsace zayulensis,高信芬、涂卫国、何海、乔永康,6697,20030831,西藏,4800,高寒灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189397.jpg,,,,,,,,,, +,Anemoclema glaucifolium,康藏考察队,10-2935,20100828,云南省,1800,金沙江河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966692.jpg,,,,,,,,,, +罂粟莲花,Anemoclema glaucifolium,,5,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/066468.jpg,,,,,,,,,, +,Anemoclema glaucifolium,亚吉东、刘成,15CS11194,20150920,云南,1734,高山栎林下,草质藤本,,https://image.cvh.ac.cn/files/l/KUN/1320746.jpg,,,,,,,,,, +滇川银莲花,Anemone delavayi,王金亭,3722,19610804,西藏自治区,4650,阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044648.jpg,,,,,,,,,, +滇川银莲花,Anemone delavayi,陈家辉,刘亚辉,周妍,赵艳丽,吴志刚,熊力军,YangYP-Q-2229,20090920,四川,4012,林间草地,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1231377.jpg,,,,,,,,,, +滇川银莲花,Anemone delavayi,罗毅波,232(58),19980702,四川省,3200,under mixed woodland of Quercus and Pinus,,有花无果,https://image.cvh.ac.cn/files/l/PE/01568914.jpg,,,,,,,,,, +红叶银莲花,Anemone erythrophylla,相亚滨,21839,19800509,四川省,1850,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00383130.jpg,,,,,,,,,, +叠裂银莲花,Anemone imbricata,顾垒,张羽,GaoXF-10ZX-1911,20100918,四川,4300,高山灌丛,草甸,,花标本,https://image.cvh.ac.cn/files/l/KUN/1231424.jpg,,,,,,,,,, +叠裂银莲花,Anemone imbricata,白龙江考察队,1868,19990604,甘肃省,2500,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556434.jpg,,,,,,,,,, +叠裂银莲花,Anemone imbricata,陈家辉,庄会富,边巴扎西,YangYP-Q-2177,20090822,西藏,4899,沙质地,高山草甸,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231425.jpg,,,,,,,,,, +,Anemone laceratoincisa,彭玉兰、涂卫国,Gaoxf1022,20080907,四川,3314,,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0205036.jpg,,,,,,,,,, +天全银莲花,Anemone patula,吴玉虎,34999,20050723,青海省,4200,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0220476.jpg,,,,,,,,,, +天全银莲花,Anemone patula,杜大华,4293,1933,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0000533.jpg,,,,,,,,,, +天全银莲花,Anemone patula,植被组,30323,19830629,四川省,3900~4000,灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00422434.jpg,,,,,,,,,, +粗壮银莲花,Anemone robusta,青藏队,14473,19830907,四川省,4600,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956609.jpg,,,,,,,,,, +粗壮银莲花,Anemone robusta,"杨亲二,孔宏智",98-273,19980905,云南省,4300,高山灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01956581.jpg,,,,,,,,,, +粗壮银莲花,Anemone robusta,,2295,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956584.jpg,,,,,,,,,, +糙叶银莲花,Anemone scabriuscula,横断山天然植物园,32,19850422,云南省,3100,冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/259556.jpg,,,,,,,,,, +微裂银莲花,Anemone subindivisa,青藏队,175,19810530,云南省,2880,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269936.jpg,,,,,,,,,, +微裂银莲花,Anemone subindivisa,T.T.Yu,5636,19370523,四川省,4000,mt.slope moist place,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00423452.jpg,,,,,,,,,, +,Anemone subindivisa,T. T. Yu,5756,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00143913.jpg,,,,,,,,,, +近羽裂银莲花,Anemone subpinnata,D.E.Boufford et al.,28260,19980704,四川省,3870,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01578524.jpg,,,,,,,,,, +近羽裂银莲花,Anemone subpinnata,张挺,郭永杰,刘成等,10CS2255,20100805,四川,3901,"Rocky, SW-facing bank, 30° slope",,花标本,https://image.cvh.ac.cn/files/l/KUN/1231551.jpg,,,,,,,,,, +,Anemone subpinnata,T. T. Yu,6513,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00143912.jpg,,,,,,,,,, +西藏银莲花,Anemone tibetica,,,19190501,,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00176969.jpg,,,,,,,,,, +,Anemone yulongshanica,川经植,1634,19590805,四川省,3600,山顶阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00440005.jpg,,,,,,,,,, +玉龙山银莲花,Anemone yulongshanica,余奇,代文台,CIBYQ085B005,20190810,四川,2724,,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1503615.jpg,,,,,,,,,, +福贡银莲花,Anemone yulongshanica,Gaoligong Shan Biodiversity Survey,26453,20050805,云南省,3640,Growing in wet meadow,Perennial herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00935751.jpg,,,,,,,,,, +,Angelica apaensis,PE西藏队,PE5709,20170903,西藏自治区,1683~2900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333621.jpg,,,,,,,,,, +,Angelica apaensis,J.I.Jeon et al.,SI1350,20100810,四川省,3613,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925555.jpg,,,,,,,,,, +阿坝当归,Angelica apaensis,"李新辉, 杨涛, 温昌润",Lixh48,20170912,四川,3827,高山灌丛草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1457390.jpg,,,,,,,,,, +,Angelica balangshanensis,1044,287,19840907,四川省,3400,山坡灌木林下,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00005248.jpg,,,,,,,,,, +东川当归,Angelica duclouxii,C.W.Wang,67527,19351000,云南省,2800,"Under forest,Open place",,有花有果,https://image.cvh.ac.cn/files/l/PE/00616458.jpg,,,,,,,,,, +,Angelica duclouxii,刘景欣,672,20090919,云南,1553,灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029390.jpg,,,,,,,,,, +,Angelica duclouxii,"Ducloux, F.",6499,9-Aug,,,,,,https://image.cvh.ac.cn/files/l/P/P00753007.jpg,,,,,,,,,, +,Angelica kangdingensis,4592,450,19840922,四川省,3000,高山栎灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00005590.jpg,,,,,,,,,, +,Angelica longipedicellata,"Forrest, George",10949,13-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00265237.jpg,,,,,,,,,, +青海当归,Angelica nitida,T.P.Wang,7593t,1937/8/23,甘肃,4000,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0033854.jpg,,,,,,,,,, +青海当归,Angelica nitida,林有润,74-1476,19741020,青海省,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01940009.jpg,,,,,,,,,, +青海当归,Angelica nitida,张寿洲等,874,20130925,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990324.jpg,,,,,,,,,, +牡丹叶当归,Angelica paeoniifolia,陶德定,11320,19760912,西藏自治区,4000,怒江沟边石砾草丛,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00935513.jpg,,,,,,,,,, +羽苞当归,Angelica pinnatiloba,溥发鼎等,197,Oct-83,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172262.jpg,,,,,,,,,, +,Angelica scaberula,,,,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00005726.jpg,,,,,,,,,, +粗糙当归,Angelica scaberula,不祥,23510,19590907,云南省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/45915.jpg,,,,,,,,,, +,Angelica scaberula,"Delavay, J.M.",3937,1889-8-5,,,,,,https://image.cvh.ac.cn/files/l/P/P02573475.jpg,,,,,,,,,, +,Angelica songpanensis,王文广等,2272,20140715,四川省,1947~2500,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918894.jpg,,,,,,,,,, +松潘当归,Angelica songpanensis,张珂阡,391,19890800,湖北省,1300,林下沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00578835.jpg,,,,,,,,,, +食用观音座莲,Angiopteris esculenta,,s.n.,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01623088.jpg,,,,,,,,,, +食用观音座莲,Angiopteris esculenta,G.Forrest,26498,19250400,西藏自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01623085.jpg,,,,,,,,,, +食用观音座莲,Angiopteris esculenta,"Jin Xh,Wang LS,Wang Q et al.",ST0945,20130724,云南省,1400~1500,mountain slope shade,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02004152.jpg,,,,,,,,,, +,Angiopteris wallichiana,朱维明,12-Jan,19750724,云南省,850,沟谷雨林,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00388299.jpg,,,,,,,,,, +西藏莲座蕨,Angiopteris wallichiana,刘成,蔡杰,张书东,13CS6459,20130529,西藏,810,林缘路边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1405703.jpg,,,,,,,,,, +,Angiopteris wallichiana,"李渤生,程树志",4580,19830510,西藏自治区,700~800,半常绿雨林下时见,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02072896.jpg,,,,,,,,,, +,Ania penangiana,,,,,,,,,,,,,,,,,,, +沟稃草,Aniselytron treutleri,王作宾,8691,19380814,四川,2000,林下,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0052335.jpg,,,,,,,,,, +沟稃草,Aniselytron treutleri,黄汉东,万丹,654,20160806,湖北,1780,,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0173299.jpg,,,,,,,,,, +沟稃草,Aniselytron treutleri,"高信芬, 朱章明 ,鞠文彬 ",HGX11923,20130610,四川省,1331,,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0235034.jpg,,,,,,,,,, +拟鳞毛安蕨,Anisocampium cuspidatum,韦宏金、张九兵、王莹,WYG351,20141023,贵州省,,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0043271.jpg,,,,,,,,,, +拟鳞毛安蕨,Anisocampium cuspidatum,吕惠珍等,LHZJX0129,20100704,广西壮族自治区,,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMI/GXMI062673.jpg,,,,,,,,,, +拟鳞毛安蕨,Anisocampium cuspidatum,韦宏金、陈彬,JSL7081,20190922,广西,~840,土生;少见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431453.jpg,,,,,,,,,, +,Annona reticulata,郭永杰、胡枭剑、黄孝舸,14CS8137,20140325,云南,548,植物园,乔木,,https://image.cvh.ac.cn/files/l/KUN/1320628.jpg,,,,,,,,,, +牛心番荔枝,Annona reticulata,汪韬,166,20200527,福建,6,,乔木,无花有果,https://image.cvh.ac.cn/files/l/AU/AU080653.jpg,,,,,,,,,, +牛心番荔枝,Annona reticulata,符国瑗,4238,1984-10-,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0077235.jpg,,,,,,,,,, +番荔枝,Annona squamosa,,东兴1,19731000,广西壮族自治区,500,砂子岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986484.jpg,,,,,,,,,, +番荔枝,Annona squamosa,郭惠珠,黄克福,1906,20090713,福建,43~201.3,栽植于菜地,小乔木,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0003343.jpg,,,,,,,,,, +番荔枝,Annona squamosa,C.W.Wang,73129,19360500,云南省,1100,mt.slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01161896.jpg,,,,,,,,,, +,Anoectochilus brevilabris,South Tibet Expedition Team,STET1908,20100801,西藏自治区,1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032827.jpg,,,,,,,,,, +,Anoectochilus medogensis,,,,,,,,,,,,,,,,,,, +金线兰,Anoectochilus roxburghii,吴磊、李雄、刘昂、刘文剑,8562,20190916,湖南,1200~1350,山坡密林,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI064505.jpg,,,,,,,,,, +金线兰,Anoectochilus roxburghii,深圳考察队,255,19970405,广东省,500,by water,,有花无果,https://image.cvh.ac.cn/files/l/PE/01401352.jpg,,,,,,,,,, +金线兰,Anoectochilus roxburghii,王大顺,1023,19431013,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00200076.jpg,,,,,,,,,, +薄叶翠蕨,Anogramma leptophylla,S.T.Chiu et al.,4659,19980721,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01363213.jpg,,,,,,,,,, +薄叶翠蕨,Anogramma leptophylla,中美联合鄂西植物考察队,1296,19800914,湖北省,1300,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00153940.jpg,,,,,,,,,, +薄叶翠蕨,Anogramma leptophylla,,,19240000,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00148893.jpg,,,,,,,,,, +筒瓣兰,Anthogonium gracile,刘成,李彩斌,张守泉,13CS6709,20131015,云南,1698,云南松、石栎次生林下,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1393568.jpg,,,,,,,,,, +筒瓣兰,Anthogonium gracile,"于胜祥,侯元同,张晓霞等",5455,20110813,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033625.jpg,,,,,,,,,, +筒瓣兰,Anthogonium gracile,"逯永满,张志强",2009156,20090925,云南省,1830,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230343.jpg,,,,,,,,,, +,Anthoxanthum flexuosum,,,,,,,,,,,,,,,,,,, +光稃香草,Anthoxanthum glabrum,何毅、郝加琛,GSL2014050524,2014/5/15,甘肃省,1950,林下,,,https://image.cvh.ac.cn/files/l/BNU/001628.jpg,,,,,,,,,, +光稃香草,Anthoxanthum glabrum,王作宾,17755,19570518,山西,1200,河边,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0088830.jpg,,,,,,,,,, +光稃香草,Anthoxanthum glabrum,张振万,2795,19640521,甘肃,,草坡,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0236059.jpg,,,,,,,,,, +藏黄花茅,Anthoxanthum hookeri,T.N.Liou,6335,19321203,,193,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01662204.jpg,,,,,,,,,, +锡金黄花菜,Anthoxanthum hookeri,第三组(经981),981464,19990604,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0016258.jpg,,,,,,,,,, +藏黄花茅,Anthoxanthum hookeri,"李渤生,程树志,倪志诚",5717,19830721,西藏自治区,3600,高山 灌丛 草甸中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01400602.jpg,,,,,,,,,, +,Anthoxanthum nitens,胡君、李丽、罗垚、蒋洪,SC-a-170-B32,20190914,四川,4101,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260737.jpg,,,,,,,,,, +茅香,Anthoxanthum nitens,黄河队,2997,19550824,山西,1150,山坡 阳处,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0076783.jpg,,,,,,,,,, +茅香,Anthoxanthum nitens,唐进,1799,19310528,河北,750,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0330815.jpg,,,,,,,,,, +松序茅香草,Anthoxanthum potaninii,王作宾,15261,19510615,甘肃,2500,草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0068475.jpg,,,,,,,,,, +,Anthoxanthum potaninii,李桂全,唐忠平,759,20020622,四川,1840,荒坡花椒地,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0197832.jpg,,,,,,,,,, +,Anthoxanthum tibeticum,"Ludlow, Frank: Sherriff, George & Taylor, George",5188,9-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00393900.jpg,,,,,,,,,, +美叶车前蕨,Antrophyum callifolium,M.Ogata,,19310907,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02102180.jpg,,,,,,,,,, +水芋车前蕨,Antrophyum callifolium,张挺,刘成,王茜茜,14CS8661,20140424,海南,681,附生于石壁上,,,https://image.cvh.ac.cn/files/l/KUN/1405898.jpg,,,,,,,,,, +美叶车前蕨,Antrophyum callifolium,H.Y.Liang,63479,19331017,广东省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00149208.jpg,,,,,,,,,, +台湾车前蕨,Antrophyum formosanum,张宪春等,2315,20020403,海南省,1000,林下岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00599187.jpg,,,,,,,,,, +台湾车前蕨,Antrophyum formosanum,王峰,283,19920328,贵州省,600,,,无花无果,https://image.cvh.ac.cn/files/l/HGAS/058088.jpg,,,,,,,,,, +台湾车前蕨,Antrophyum formosanum,黄建益等,2579,20060629,台湾省,100,Broadleaf forest,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01915563.jpg,,,,,,,,,, +长柄车前蕨,Antrophyum obovatum,"邢公侠,郎楷永",1313,19630904,四川省,1050,阔叶林下树干,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00599226.jpg,,,,,,,,,, +长柄车前蕨,Antrophyum obovatum,,28444,,海南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00380487.jpg,,,,,,,,,, +长柄车前蕨,Antrophyum obovatum,曾宪锋,ZXF47615,20190512,福建,760,山谷石上,多年生草本,无孢子囊群,https://image.cvh.ac.cn/files/l/CZH/CZH0042771.jpg,,,,,,,,,, +,Antrophyum wallichianum,,,,,,,,,,,,,,,,,,, +高山无叶兰,Aphyllorchis alpina,李渤生,7152,19830830,西藏自治区,2600,常绿阔叶林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376735.jpg,,,,,,,,,, +大花无叶兰,Aphyllorchis gollanii,金效华,8315,20060729,云南省,2771,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825031.jpg,,,,,,,,,, +大花无叶兰,Aphyllorchis gollanii,"张永田,郞楷永",4342,19660622,西藏自治区,2400,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00805622.jpg,,,,,,,,,, +大花无叶兰,Aphyllorchis gollanii,金效华,8287,20060726,云南,2100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825032.jpg,,,,,,,,,, +无叶兰,Aphyllorchis montana,高锡朋,55697,19350907,广西壮族自治区,,in woods on hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/00200464.jpg,,,,,,,,,, +无叶兰,Aphyllorchis montana,吉占和,92-713,19921105,云南省,1200,疏林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01517586.jpg,,,,,,,,,, +无叶兰,Aphyllorchis montana,曾宪锋,ZXF25531,20170520,江西省,313,山顶,多年生直立草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0021236.jpg,,,,,,,,,, +,Apios delavayi,,,,,,,,,,,,,,,,,,, +水蔗草,Apluda mutica,华南植物所,98,19541119,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00177155.jpg,,,,,,,,,, +水蔗草,Apluda mutica,何国生,9991,20001005,福建省,300,山地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437487.jpg,,,,,,,,,, +水蔗草,Apluda mutica,中越植考察队,865,19641225,凉山,800~780,花岗岩草坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/320210.jpg,,,,,,,,,, +水蕹,Aponogeton lakhonensis,K.C.Jacob,18519,19290202,,0~630,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0632326.jpg,,,,,,,,,, +水蕹,Aponogeton lakhonensis,K.K.Tsoong,204,,浙江省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617323.jpg,,,,,,,,,, +水蕹,Aponogeton lakhonensis,覃灏富,700418,19560728,广西壮族自治区,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0617319.jpg,,,,,,,,,, +拟兰,Apostasia odorata,周仕顺,6300,20090620,云南省,1100,沟谷雨林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033201.jpg,,,,,,,,,, +拟兰,Apostasia odorata,高锡朋,55347,19350622,广西壮族自治区,,in woods at slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00200504.jpg,,,,,,,,,, +拟兰,Apostasia odorata,王洪,9071,20130626,云南,900,沟谷林下,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026602.jpg,,,,,,,,,, +剑叶拟兰,Apostasia wallichii,陶国达,9016,19790606,云南省,0~700,林下、潮湿,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0745809.jpg,,,,,,,,,, +剑叶拟兰,Apostasia wallichii,林源,3-54362,19770818,,,,,无花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI047637.jpg,,,,,,,,,, +直距耧斗菜,Aquilegia rockii,金佛山考察队,2095,19860805,重庆市,1900,路旁 荒坡地上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00105697.jpg,,,,,,,,,, +直距耧斗菜,Aquilegia rockii,周太英等,650878,19650622,新疆维吾尔自治区,1600,山坡石隙,,有花无果,https://image.cvh.ac.cn/files/l/KUN/260299.jpg,,,,,,,,,, +直距耧斗菜,Aquilegia rockii,傅德志,Le1,19860606,江苏省,400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01605674.jpg,,,,,,,,,, +细裂复叶耳蕨,Arachniodes coniifolia,浙江博物馆,2448,19630814,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00151713.jpg,,,,,,,,,, +细裂复叶耳蕨,Arachniodes coniifolia,许为斌、吴磊,11067,20110227,广西壮族自治区,690,"石灰岩山地天坑, 少见",直立草本,,https://image.cvh.ac.cn/files/l/IBK/IBK00308968.jpg,,,,,,,,,, +细裂复叶耳蕨,Arachniodes coniifolia,"张宪春,郭治友,税玉民等",8310,20170408,云南省,1637,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234457.jpg,,,,,,,,,, +高大复叶耳蕨,Arachniodes gigantea,朱维明 李卫东,Feb-88,19760609,云南省,1450,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00044357.jpg,,,,,,,,,, +高大复叶耳蕨,Arachniodes gigantea,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07371,20160914,西藏,1624,密林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135964.jpg,,,,,,,,,, +异羽复叶耳蕨,Arachniodes simplicior,向良凤.向良笔,26,20081005,湖南省,500~600,石灰岩峡谷,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01964147.jpg,,,,,,,,,, +异羽复叶耳蕨,Arachniodes simplicior,孙久琼,S022,20110103,重庆市,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871484.jpg,,,,,,,,,, +异羽复叶耳蕨,Arachniodes simplicior,金摄郎、顾钰峰、朱晓凤,BJZ010,20130723,广西省,110,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0069451.jpg,,,,,,,,,, +,Arachniodes superba,"朱鑫鑫, 王君, 林庶",ZXX191715,20191207,云南,2289,亚热带常绿阔叶林,林中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1483516.jpg,,,,,,,,,, +,Arachnis flos-aeris,孙洪范,7893,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00200570.jpg,,,,,,,,,, +窄唇蜘蛛兰,Arachnis labrosa,曾怀德,26713,19360825,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0623704.jpg,,,,,,,,,, +窄唇蜘蛛兰,Arachnis labrosa,金效华,7767,20050816,海南省,450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825035.jpg,,,,,,,,,, +窄唇蜘蛛兰,Arachnis labrosa,吴望辉,许为斌,农东新等,Liuyan0525,20100125,广西,424,常绿阔叶林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393571.jpg,,,,,,,,,, +细裂小膜盖蕨,Araiostegia faberiana,刘恩德,方伟,徐洲锋,赵倩茹,秦凤,3591,20120324,云南省 ,2173,streamside in rock crevice,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1251624.jpg,,,,,,,,,, +小膜盖蕨属,Araiostegia faberiana,倪志诚,汪永泽,次旦、次多,918,19800730,西藏,1260,杂木下,,无孢子囊,https://image.cvh.ac.cn/files/l/XZ/XZ0000119.jpg,,,,,,,,,, +细裂小膜盖蕨,Araiostegia faberiana,倪志诚,汪永泽,次多,次旦,918,19800730,西藏自治区,1260,杂木下,草本,无孢子囊,https://image.cvh.ac.cn/files/l/XZ/XZ0000118.jpg,,,,,,,,,, +芹叶龙眼独活,Aralia apioides,张维,张志松等,51571,19650826,贵州省,450,,藤本灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0445247.jpg,,,,,,,,,, +芹叶龙眼独活,Aralia apioides,青藏队,10555,19820918,西藏自治区,3500,山坡云杉林下,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0445241.jpg,,,,,,,,,, +芹叶龙眼独活,Aralia apioides,王启无,63870,19350600,云南省,3500,ravine,,有花无果,https://image.cvh.ac.cn/files/l/PE/01152737.jpg,,,,,,,,,, +圆叶楤木,Aralia caesia,,1912,19590821,四川,,山坡阴处,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM714900708.jpg,,,,,,,,,, +圆叶葱木,Aralia caesia,G.Forrest,10662,19130700,云南省,3000,open thickets on the descent to the Yangtze from the eastern boundary of the lichiang valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/00919113.jpg,,,,,,,,,, +圆叶羽叶参,Aralia caesia,"陈文允, 于文涛, 黄永江, 李国锋",CYHL210,20090926,云南,,灌木林中,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1335432.jpg,,,,,,,,,, +西藏土当归,Aralia tibetana,PE西藏队,PE6366,20170911,西藏自治区,3120,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330179.jpg,,,,,,,,,, +西藏土当归,Aralia tibetana,"黄治平,罗正远,蒋卓然",1854,19300808,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00940096.jpg,,,,,,,,,, +西藏土当归,Aralia tibetana,张林、李星月、张晓严,6-243,20180615,西藏,2845,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023559.jpg,,,,,,,,,, +高山松寄生,Arceuthobium pini,生态室高原组,10584,19800620,西藏自治区,,高山松树皮上着生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491328.jpg,,,,,,,,,, +高山松寄生,Arceuthobium pini,T.N.Ho et al.,2961,19960907,青海省,3800,"Valley with Picea likiangensis,on limestone",,有花无果,https://image.cvh.ac.cn/files/l/PE/00890950.jpg,,,,,,,,,, +高山松寄生,Arceuthobium pini,北京所横断山队,2683,19810805,云南省,3100,寄生于云南松树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538640.jpg,,,,,,,,,, +冷杉寄生,Arceuthobium tibetense,赵光材,14A,19810521,西藏自治区,3400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0364181.jpg,,,,,,,,,, +单性滨藜,Archiatriplex nanpinensis,K.T.Fu,2166,19371021,四川省,2100,On road bank,Herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00024030.jpg,,,,,,,,,, +,Archiatriplex nanpinensis,G. L. Chu,80040,1980/9/30,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00036865.jpg,,,,,,,,,, +,Arctopoa tibetica,,,,,,,,,,,,,,,,,,, +,Arctopoa tibetica var. aristulata,,,,,,,,,,,,,,,,,,, +唐松叶弓翅芹,Arcuatopterus thalictrioideus,M.G.Pimenov et al.,498,19980930,云南省,1840,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616957.jpg,,,,,,,,,, +唐松叶弓翅芹,Arcuatopterus thalictrioideus,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13990,20161019,四川,2323,石质山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452745.jpg,,,,,,,,,, +唐松叶弓翅芹,Arcuatopterus thalictrioideus,865,315b,19821020,四川省,2750,河谷杂木林中,草丛中,干旱河谷边,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00009944.jpg,,,,,,,,,, +,Arenaria acicularis,,,,,,,,,,,,,,,,,,, +,Arenaria aksayqingensis,,,,,,,,,,,,,,,,,,, +,Arenaria amdoensis,,,,,,,,,,,,,,,,,,, +,Arenaria auricoma,,,,,,,,,,,,,,,,,,, +,Arenaria barbata,,,,,,,,,,,,,,,,,,, +,Arenaria baxoiensis,,,,,,,,,,,,,,,,,,, +,Arenaria bomiensis,,,,,,,,,,,,,,,,,,, +,Arenaria brevipetala,,,,,,,,,,,,,,,,,,, +,Arenaria chamdoensis,,,,,,,,,,,,,,,,,,, +,Arenaria ciliolata,,,,,,,,,,,,,,,,,,, +,Arenaria delavayi,,,,,,,,,,,,,,,,,,, +,Arenaria dimorphitricha,,,,,,,,,,,,,,,,,,, +,Arenaria dsharaensis,,,,,,,,,,,,,,,,,,, +,Arenaria euodonta,,,,,,,,,,,,,,,,,,, +,Arenaria filipes,,,,,,,,,,,,,,,,,,, +,Arenaria forrestii,,,,,,,,,,,,,,,,,,, +,Arenaria fridericae,,,,,,,,,,,,,,,,,,, +,Arenaria galliformis,,,,,,,,,,,,,,,,,,, +,Arenaria gerzeensis,,,,,,,,,,,,,,,,,,, +,Arenaria haitzeshanensis,,,,,,,,,,,,,,,,,,, +,Arenaria inconspicua,,,,,,,,,,,,,,,,,,, +,Arenaria inornata,,,,,,,,,,,,,,,,,,, +,Arenaria ischnophylla,,,,,,,,,,,,,,,,,,, +,Arenaria kansuensis,,,,,,,,,,,,,,,,,,, +,Arenaria lancangensis,,,,,,,,,,,,,,,,,,, +,Arenaria leucasteria,,,,,,,,,,,,,,,,,,, +,Arenaria littledalei,,,,,,,,,,,,,,,,,,, +,Arenaria longipes,,,,,,,,,,,,,,,,,,, +,Arenaria longipetiolata,,,,,,,,,,,,,,,,,,, +,Arenaria longistyla,,,,,,,,,,,,,,,,,,, +,Arenaria melandryiformis,,,,,,,,,,,,,,,,,,, +,Arenaria membranisepala,,,,,,,,,,,,,,,,,,, +,Arenaria microstella,,,,,,,,,,,,,,,,,,, +,Arenaria minima,,,,,,,,,,,,,,,,,,, +,Arenaria monantha,,,,,,,,,,,,,,,,,,, +,Arenaria monilifera,,,,,,,,,,,,,,,,,,, +,Arenaria monosperma,,,,,,,,,,,,,,,,,,, +,Arenaria napuligera,,,,,,,,,,,,,,,,,,, +,Arenaria pogonantha,,,,,,,,,,,,,,,,,,, +,Arenaria polysperma,,,,,,,,,,,,,,,,,,, +,Arenaria polytrichoides,,,,,,,,,,,,,,,,,,, +,Arenaria przewalskii,,,,,,,,,,,,,,,,,,, +,Arenaria pseudostellaria,,,,,,,,,,,,,,,,,,, +,Arenaria puranensis,,,,,,,,,,,,,,,,,,, +,Arenaria qinghaiensis,,,,,,,,,,,,,,,,,,, +,Arenaria quadridentata,,,,,,,,,,,,,,,,,,, +,Arenaria ramellata,,,,,,,,,,,,,,,,,,, +,Arenaria reducta,,,,,,,,,,,,,,,,,,, +,Arenaria rhodantha,,,,,,,,,,,,,,,,,,, +,Arenaria roborowskii,,,,,,,,,,,,,,,,,,, +,Arenaria rockii,,,,,,,,,,,,,,,,,,, +,Arenaria roseiflora,,,,,,,,,,,,,,,,,,, +,Arenaria saginoides,,,,,,,,,,,,,,,,,,, +,Arenaria salweenensis,,,,,,,,,,,,,,,,,,, +,Arenaria schneideriana,,,,,,,,,,,,,,,,,,, +,Arenaria setifera,,,,,,,,,,,,,,,,,,, +,Arenaria shannanensis,,,,,,,,,,,,,,,,,,, +,Arenaria smithiana,,,,,,,,,,,,,,,,,,, +,Arenaria spathulifolia,,,,,,,,,,,,,,,,,,, +,Arenaria trichophora,,,,,,,,,,,,,,,,,,, +,Arenaria trichophylla,,,,,,,,,,,,,,,,,,, +,Arenaria tumengelaensis,,,,,,,,,,,,,,,,,,, +,Arenaria weissiana,,,,,,,,,,,,,,,,,,, +,Arenaria xerophila,,,,,,,,,,,,,,,,,,, +,Arenaria yulongshanensis,,,,,,,,,,,,,,,,,,, +,Arenaria zadoiensis,,,,,,,,,,,,,,,,,,, +,Arenaria zhongdianensis,,,,,,,,,,,,,,,,,,, +小花桄榔,Arenga micrantha,程树志、李渤生,5114,19830617,西藏自治区,0~1850,,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0638694.jpg,,,,,,,,,, +羽叶糖棕,Arenga pinnata,张宏达,1291,19400427,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0638727.jpg,,,,,,,,,, +羽叶糖棕,Arenga pinnata,海南吊罗山队,2611,19541114,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00143800.jpg,,,,,,,,,, +羽叶糖棕,Arenga pinnata,西路,52,19540040,海南省 ,0,,灌木 ,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0638718.jpg,,,,,,,,,, +桄榔,Arenga westerhoutii,王勇进,28,19961213,广东省,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00043085.jpg,,,,,,,,,, +桄榔,Arenga westerhoutii,汪韬,354,20200618,福建,55,路边,乔木,有花有果,https://image.cvh.ac.cn/files/l/AU/AU080207.jpg,,,,,,,,,, +桄榔,Arenga westerhoutii,黄俞淞,盘波,刘长秋,覃祖红,GXIBHYS009B11,20180519,广西,235,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1501490.jpg,,,,,,,,,, +,Ariopsis peltata,C.E.Ridsdale,358,19760711,,0,,On Damp Rocks,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0611169.jpg,,,,,,,,,, +,Arisaema anatinum,,,,,,,,,,,,,,,,,,, +旱生南星,Arisaema aridum,余奇,代文台,CIBYQ083B001,20190808,四川,1934,,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1503463.jpg,,,,,,,,,, +旱生南星,Arisaema aridum,中甸队,63-2963,19630701,云南,2250,金沙江河谷,在石灰岩上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1218501.jpg,,,,,,,,,, +旱生南星,Arisaema aridum,王清泉,20204,1979-6 1,四川省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0162669.jpg,,,,,,,,,, +,Arisaema bonatianum,,,,,,,,,,,,,,,,,,, +白苞南星,Arisaema candidissimum,西藏中草药普查队,4167,19720722,西藏自治区,3300,山坡 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526703.jpg,,,,,,,,,, +白苞南星,Arisaema candidissimum,T.T.Yu,14403,19371001,四川省,3100,Margin of thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/00132739.jpg,,,,,,,,,, +白苞南星,Arisaema candidissimum,李九丹 汤国华 徐智明,木里64-18,19640528,四川,2850,半山坡地,地边道旁,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM720900242.jpg,,,,,,,,,, +缘毛南星,Arisaema ciliatum,"郎楷永,李良千,费勇",2339,19830724,四川省,3400,河滩草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240691.jpg,,,,,,,,,, +缘毛南星,Arisaema ciliatum,青藏队,193,19810601,云南省,2985,云南松至高山栎林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860043.jpg,,,,,,,,,, +,Arisaema ciliatum,"Forrest, George",5936,10-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00198018.jpg,,,,,,,,,, +,Arisaema concinnum,,,,,,,,,,,,,,,,,,, +多脉南星,Arisaema costatum,"张永田,郞楷永",4420,19660622,西藏自治区,2400,山坡 林下 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526824.jpg,,,,,,,,,, +多脉南星,Arisaema costatum,张林、李星月、张晓严,5-121,20180611,西藏,3292,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023671.jpg,,,,,,,,,, +多脉南星,Arisaema costatum,麻栗坡普查队,5326240479,20150731,云南省,2104.5,阔叶林,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0039735.jpg,,,,,,,,,, +奇异南星,Arisaema decipiens,,2627,19740318,西藏自治区,1900,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00133217.jpg,,,,,,,,,, +雪里见,Arisaema decipiens,鞠文彬,陈德奎,AZH00700,20151104,四川省,1656,林下,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0236928.jpg,,,,,,,,,, +奇异南星,Arisaema decipiens,780植被组,558,19781123,云南省,2800,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01572832.jpg,,,,,,,,,, +刺棒南星,Arisaema echinatum,裴盛基,1579,19880527,云南省,3060,草地,火烧过松林下,,,https://image.cvh.ac.cn/files/l/KUN/1268644.jpg,,,,,,,,,, +刺棒南星,Arisaema echinatum,甘启良,3316,20090519,湖北省,1600,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1225095.jpg,,,,,,,,,, +,Arisaema echinatum,胡君、李丽、丁俊祥、蔡琴、许奇标,SC-a-037-B44,20170709,四川,,高山栎群落中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00608975.jpg,,,,,,,,,, +象南星,Arisaema elephas,张志松,张永田,6972,19600712,贵州省,0~1300,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0611120.jpg,,,,,,,,,, +象南星,Arisaema elephas,张经炜,2498,19610523,西藏自治区,3500,南坡,棕色林土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526820.jpg,,,,,,,,,, +象南星,Arisaema elephas,,276,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526819.jpg,,,,,,,,,, +一把伞南星,Arisaema erubescens,张代贵,YD2100066,20150711,湖南省湘西州,,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU40166.jpg,,,,,,,,,, +一把伞南星,Arisaema erubescens,李淑玉,180993,19590411,广东省,0~850,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0611268.jpg,,,,,,,,,, +一把伞南星,Arisaema erubescens,刘成、何华杰、黄莉、李涟漪,14CS9995,20141114,云南,2166,旱冬瓜次生林林下,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1392756.jpg,,,,,,,,,, +圈药南星,Arisaema exappendiculatum,倪志诚等,929,19800731,西藏自治区,1860,河边杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00133323.jpg,,,,,,,,,, +圈药南星,Arisaema exappendiculatum,,10156,19750703,四川省,0~2450,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0611463.jpg,,,,,,,,,, +圈药南星,Arisaema exappendiculatum,王超,20090792,20090610,贵州省,1102,沟边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0010834.jpg,,,,,,,,,, +黄苞南星,Arisaema flavum,张永洪,王晓雄,周卓,岳亮亮,SunH-07ZX-0552,20080721,西藏,2796,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1392810.jpg,,,,,,,,,, +黄苞南星,Arisaema flavum,青藏队,2989,19810719,云南省,2700~2900,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240837.jpg,,,,,,,,,, +黄苞南星,Arisaema flavum,张大才,李双智,杨川等,ZhangDC-07ZX-1942,20100928,四川,2666,干暖河谷,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1392823.jpg,,,,,,,,,, +黄苞南星,Arisaema flavum subsp. tibeticum,余奇,郑臣臣,苏翠萍,胡苏,CIBYQ013B022,20180731,四川,2706,,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1503156.jpg,,,,,,,,,, +黄苞南星,Arisaema flavum subsp. tibeticum,蔡杰,刘成,郭永杰,13CS7035,20130607,西藏,2628,干热河谷山坡灌丛,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1392824.jpg,,,,,,,,,, +,Arisaema flavum subsp. tibeticum,PE西藏考察队,7246,20180614,西藏自治区,4163,河谷坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331829.jpg,,,,,,,,,, +,Arisaema galeatum,,,,,,,,,,,,,,,,,,, +疣柄翼檐南星,Arisaema griffithii,王启无,63160,19350500,云南省 ,0~2800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0611476.jpg,,,,,,,,,, +翼檐南星,Arisaema griffithii,,182,19590606,西藏自治区,3850,山坡之林下阴生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526701.jpg,,,,,,,,,, +翼檐南星,Arisaema griffithii,邱炳云,53867,19561120,云南省,3000,潮湿的山坡箐沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00133411.jpg,,,,,,,,,, +疣序南星,Arisaema handelii,K.M.Feng,4050,19400520,云南省,2800~3000,沟边杂林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00133421.jpg,,,,,,,,,, +湘南星,Arisaema handelii,刘正宇,Mar-71,19860603,重庆市,950,,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0018888.jpg,,,,,,,,,, +,Arisaema handelii,"Handel-Mazzetti, Heinrich",8873,15-Jun-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00198019.jpg,,,,,,,,,, +高原南星,Arisaema intermedium,代天伦,100669,19580527,四川省,1100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/34505.jpg,,,,,,,,,, +高原南星,Arisaema intermedium,张林、李星月、张晓严,3-303,20180617,西藏,3614,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023537.jpg,,,,,,,,,, +高原南星,Arisaema intermedium,俞德浚,20069,19380903,云南省 ,3000,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/29727.jpg,,,,,,,,,, +藏南绿南星,Arisaema jacquemontii,"M.Wakabayashi,M.Amano,M.Mori etc.",9720138,19970805,,3670,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109499.jpg,,,,,,,,,, +藏南绿南星,Arisaema jacquemontii,PE西藏考察队,7906,20180626,西藏自治区,3081~3206,林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/02332766.jpg,,,,,,,,,, +藏南绿南星,Arisaema jacquemontii,张林、李星月、张晓严,2-298,20180617,西藏,3340,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023531.jpg,,,,,,,,,, +花南星,Arisaema lobatum,赵万义、刘忠成、阴倩怡、刘楠楠、冯璐、张信坚、叶矾、熊武建、邓磊,LXP-13-23709,20170614,江西,1861,山谷、壤土、疏林,陆生、草本、直立,无花有果,https://image.cvh.ac.cn/files/l/SYS/SYS00200948.jpg,,,,,,,,,, +花南星,Arisaema lobatum,武攻队,2422,19810502,福建省,0~1300,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0611537.jpg,,,,,,,,,, +花南星,Arisaema lobatum,刘正宇、张军等,S-1022,20170222,重庆,802,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051244.jpg,,,,,,,,,, +猪笼南星,Arisaema nepenthoides,,Q014,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526744.jpg,,,,,,,,,, +猪笼南星,Arisaema nepenthoides,高连明,GLM-07531,20070505,云南省,2750,山坡杂木林,,,https://image.cvh.ac.cn/files/l/KUN/1272758.jpg,,,,,,,,,, +,Arisaema nepenthoides,胡君、王东超、李丽、刘晓芬、李永龙、唐璐、思亮、刘方方,SC-a-052-B35,20180724,四川,,高山栎群落中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00608974.jpg,,,,,,,,,, +小南星,Arisaema parvum,,1115,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00032517.jpg,,,,,,,,,, +小南星,Arisaema parvum,,3021,19720526,西藏自治区,0~330,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/80468.jpg,,,,,,,,,, +小南星,Arisaema parvum,"郎楷永,李良千,费勇",210,19820625,四川省,2500~2700,河边湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110148.jpg,,,,,,,,,, +,Arisaema petiolulatum,,,,,,,,,,,,,,,,,,, +藏南星,Arisaema propinquum,PE西藏考察队,Jan-67,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332882.jpg,,,,,,,,,, +藏南星,Arisaema propinquum,郭本兆 王为义,20235,19770622,四川省,0~2700,,草本,无花有果,https://image.cvh.ac.cn/files/l/HNWP/64922.jpg,,,,,,,,,, +,Arisaema setosum,,,,,,,,,,,,,,,,,,, +,Arisaema smitinandii,,,,,,,,,,,,,,,,,,, +美丽南星,Arisaema speciosum,刘克旺 祁承经,31002,19640414,湖南省,700,山地山谷 疏林 少,直立草木,无花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI043036.jpg,,,,,,,,,, +美丽南星,Arisaema speciosum,高黎贡山考察队,7675,19961016,云南省,2250,林缘,,无花无果,https://image.cvh.ac.cn/files/l/KUN/91127.jpg,,,,,,,,,, +美丽南星,Arisaema speciosum,路端正,无,20020916,西藏,2400,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00001722.jpg,,,,,,,,,, +曲序南星,Arisaema tortuosum,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2600,20090924,西藏,2380,草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1392847.jpg,,,,,,,,,, +曲序南星,Arisaema tortuosum,蒋新春,504,19860331,湖南省,,丘陵岸上,,有花无果,https://image.cvh.ac.cn/files/l/HUFD/0000670.jpg,,,,,,,,,, +曲序南星,Arisaema tortuosum,,108,19730616,西藏自治区,2500,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01712673.jpg,,,,,,,,,, +网檐南星,Arisaema utile,PE西藏考察队,7864,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331831.jpg,,,,,,,,,, +网檐南星,Arisaema utile,T.T.Yu,16028,19380528,云南省,2800,under thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00133766.jpg,,,,,,,,,, +,Arisaema utile,王乾、顾健,SCW0145,20200530,四川,3489,冷杉林东坡,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274239.jpg,,,,,,,,,, +,Arisaema vexillatum,"Jin Xh,Wang LS,Wang Q et al.",ST0293,20130717,云南省,3500~3600,alpine meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240895.jpg,,,,,,,,,, +,Arisaema vexillatum,青藏队,5481,19750604,西藏自治区,3700,山坡,灌丛,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00133770.jpg,,,,,,,,,, +隐序南星,Arisaema wardii,何廷农、刘尚武、卢学峰、陈世龙等,164,20000616,甘肃省,,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00012011.jpg,,,,,,,,,, +隐序南星,Arisaema wardii,杜庆,77,19760607,宁夏回族自治区,0~2450,林下湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/HNWP/63840.jpg,,,,,,,,,, +隐序南星,Arisaema wardii,陈世龙,张得钧,高庆波等,ChenSL0351,20080807,青海,3220,云杉林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1392852.jpg,,,,,,,,,, +,Arisaema wattii,徐洪贵,5296,19950511,四川省,1100,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240869.jpg,,,,,,,,,, +,Arisaema wattii,杨国平,414,20040329,云南省,2490,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240906.jpg,,,,,,,,,, +,Arisaema wattii,"Forrest, George",7261,10-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00317875.jpg,,,,,,,,,, +高原三芒草,Aristida alpina,傅国勋,156,19600602,西藏自治区,3800,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00260432.jpg,,,,,,,,,, +短芒草,Aristida brevissima,青藏队植被组,9512,19760810,西藏自治区,3030,,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01432183.jpg,,,,,,,,,, +,Aristida brevissima,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-153-B25,20190826,四川,2848,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260767.jpg,,,,,,,,,, +糙三芒草,Aristida scabrescens,青藏队植被组,97,19740624,西藏自治区,4100,山坡草地,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01432184.jpg,,,,,,,,,, +糙三芒草,Aristida scabrescens,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20468,20200617,西藏,3649,荒坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507950.jpg,,,,,,,,,, +三刺草,Aristida triseta,王贤,,19831001,新疆,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00087745.jpg,,,,,,,,,, +三刺草,Aristida triseta,杨永昌,1366,19650825,新疆维吾尔自治区,3900~4100,阳山山坡和?地草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/00260511.jpg,,,,,,,,,, +三刺草,Aristida triseta,李晖,卜海涛,边巴,次旦,Lihui-Q-09-14,20090831,西藏,4903,高山荒漠化草甸草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1399932.jpg,,,,,,,,,, +藏布三芒草,Aristida tsangpoensis,PE西藏队,PE5488,20170831,西藏自治区,3583,路边山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01891455.jpg,,,,,,,,,, +藏布三芒草,Aristida tsangpoensis,武宝成,84-528,19840730,西藏,,阳坡,,有花有果,https://image.cvh.ac.cn/files/l/FGC/FGC0003343.jpg,,,,,,,,,, +,Aristida tsangpoensis,,,,,,,,,,,,,,,,,,, +,Aristolochia assamica,,,,,,,,,,,,,,,,,,, +,Aristolochia delavayi,张启泰,2008-061,20080930,云南,2250,江边山坡悬崖,木质藤本,,https://image.cvh.ac.cn/files/l/KUN/1233970.jpg,,,,,,,,,, +贯叶马兜铃,Aristolochia delavayi,,14893,19831001,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01062831.jpg,,,,,,,,,, +,Aristolochia delavayi,"Delavay, J.M.",2622,1887-6-10,,,,,,https://image.cvh.ac.cn/files/l/P/P00623813.jpg,,,,,,,,,, +,Aristolochia indica,H.F.Sun,2125,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01627895.jpg,,,,,,,,,, +,Aristolochia indica,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180357,20181129,Mon State,,,Vine,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498469.jpg,,,,,,,,,, +偏花马兜铃,Aristolochia obliqua,青藏队,7045,19820607,云南省,1700,山坡 常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01062842.jpg,,,,,,,,,, +,Aristolochia obliqua,张挺,蔡杰,刘成,吴之坤,11CS2755,20110525,云南,2355,林中山坡灌草丛,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300557.jpg,,,,,,,,,, +汉防己,Aristolochia obliqua,李正辉、艾洪莲,AHL5079,20200913,湖北,1300,山坡林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1554433.jpg,,,,,,,,,, +非马兜铃,Aristolochia platanifolia,,594,19381208,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0003860.jpg,,,,,,,,,, +,Aristolochia rethyae,,,,,,,,,,,,,,,,,,, +耳叶马兜铃,Aristolochia tagala,陈德昭,s.n.,Jul-87,香港,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0127890.jpg,,,,,,,,,, +耳叶马兜铃,Aristolochia tagala,王清江,2435,,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/005641.jpg,,,,,,,,,, +,Aristolochia tagala,Tsiang Yang,2293,19290514,Kochow (高州),,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0003854.jpg,,,,,,,,,, +,Aristolochia wardiana,,,,,,,,,,,,,,,,,,, +,Aristolochia zhongdianensis,陈高,SunH-07ZX-2348,20091028,云南,1972,灌丛,草本,,https://image.cvh.ac.cn/files/l/KUN/1233982.jpg,,,,,,,,,, +,Aristolochia zhongdianensis,G.Forrest,30046,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01815690.jpg,,,,,,,,,, +,Aristolochia zhongdianensis,G.Forrest,30046,,西藏,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01815690.jpg,,,,,,,,,, +,Artabotrys caudatus,,,,,,,,,,,,,,,,,,, +阿坝蒿,Artemisia abaensis,B.Bartholomew,1488,19830919,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0041765.jpg,,,,,,,,,, +阿坝蒿,Artemisia abaensis,Mark Hoefs,373,19730713,加利福尼亚,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0040615.jpg,,,,,,,,,, +阿坝蒿,Artemisia abaensis,赵素云,82-133,1982.10.,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0004557.jpg,,,,,,,,,, +阿克塞蒿,Artemisia aksaiensis,,1563,19640817,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420308.jpg,,,,,,,,,, +阿克塞蒿,Artemisia aksaiensis,雷喜亭等,830505,19830609,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0032088.jpg,,,,,,,,,, +班玛蒿,Artemisia baimaensis,,801338,19800506,青海省,3440,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0542980.jpg,,,,,,,,,, +班玛蒿,Artemisia baimaensis,,1563,19640817,甘肃省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0542469.jpg,,,,,,,,,, +班玛蒿,Artemisia baimaensis,陈晓澄等,Chenxc-243,20170905,西藏,4333,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018231.jpg,,,,,,,,,, +错那蒿,Artemisia conaensis,西藏中草药普查队,4417,19720817,西藏自治区,4300,田边 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01484935.jpg,,,,,,,,,, +错那蒿,Artemisia conaensis,W.K.Hu,13070,19510908,四川省,,At road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00421210.jpg,,,,,,,,,, +错那蒿,Artemisia conaensis,陈晓澄等,5793,20140805,西藏,4244,灌林下草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00022674.jpg,,,,,,,,,, +青藏蒿,Artemisia duthreuil-de-rhinsi,W.J.Roborowski,s.n.,18940224,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01842109.jpg,,,,,,,,,, +青藏蒿,Artemisia duthreuil-de-rhinsi,"姜恕,金存礼等",1334,19590625,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00421734.jpg,,,,,,,,,, +青藏蒿,Artemisia duthreuil-de-rhinsi,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",1442,19930819,青海省,4250,Small sandy hills with Saussurea bruneopi-losa tussock very prominent,,有花有果,https://image.cvh.ac.cn/files/l/PE/00492232.jpg,,,,,,,,,, +二郎山蒿,Artemisia erlangshanensis,胡文光 何铸,11608,19511017,四川省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00421985.jpg,,,,,,,,,, +,Artemisia erlangshanensis,余奇、熊先华、李琳霖,THP-KD-4871,20170814,四川,3932,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241697.jpg,,,,,,,,,, +亮蒿,Artemisia fulgens,T.P. Wang,6308,1936/10/12,吉林省,2800,,herb,无花有果,https://image.cvh.ac.cn/files/l/WUK/0023242.jpg,,,,,,,,,, +亮蒿,Artemisia fulgens,,735,19790712,四川,3190,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719400790.jpg,,,,,,,,,, +亮蒿,Artemisia fulgens,T.P.Wang,5944,1936/8/29,,2500,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0094117.jpg,,,,,,,,,, +贡山蒿,Artemisia gongshanensis,碧江队,1790,197808,云南省,3500~3600,竹林边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0040862.jpg,,,,,,,,,, +贡山蒿,Artemisia gongshanensis,中美联合鄂西植物考察,323,19800827,湖北省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0040863.jpg,,,,,,,,,, +江孜蒿,Artemisia gyangzeensis,钟补求,5704,19530712,西藏自治区,3900,山涧土壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00444404.jpg,,,,,,,,,, +江孜蒿,Artemisia gyangzeensis,王作宾,20028,1964/8/11,青海,2900,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0232277.jpg,,,,,,,,,, +江孜蒿,Artemisia gyangzeensis,生物研究所西藏考察队,4413,19740921,青海省,2820,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/41105.jpg,,,,,,,,,, +,Artemisia gyitangensis,李渤生 仉志诚 程树志,7296,19830905,西藏自治区,3800,亚高山草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235826.jpg,,,,,,,,,, +吉塘蒿,Artemisia gyitangensis,高生所西藏队,2192,19730825,西藏,3300,河谷阶地,小灌木,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027789.jpg,,,,,,,,,, +锈苞蒿,Artemisia imponens,,529,19640719,青海省,4500,阳坡石缝处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485054.jpg,,,,,,,,,, +锈苞蒿,Artemisia imponens,"张经炜,王金亭",1085,19730820,西藏自治区,4200,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01485055.jpg,,,,,,,,,, +锈苞蒿,Artemisia imponens,陈又生,7244,20070801,四川省,3369,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113469.jpg,,,,,,,,,, +吉隆蒿,Artemisia jilongensis,PE西藏队,PE5005,20170824,西藏自治区,3522,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890230.jpg,,,,,,,,,, +康马蒿,Artemisia kangmarensis,西藏综考队,1564,19610705,西藏自治区,4380,多石砾洪积扇上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00444956.jpg,,,,,,,,,, +康马蒿,Artemisia kangmarensis,郭先林、苟巍,2037257,20200715,四川,4654,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02037257.jpg,,,,,,,,,, +粘毛蒿,Artemisia mattfeldii,鄂神农架植考队,11832,19760823,湖北省,1560,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01039623.jpg,,,,,,,,,, +,Artemisia mattfeldii,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-146-B05,20190824,西藏,3954,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262561.jpg,,,,,,,,,, +粘毛蒿,Artemisia mattfeldii,黄土队,5122,1985/7/16,甘肃,2600,,草本、直立,无花无果,https://image.cvh.ac.cn/files/l/WUK/0458737.jpg,,,,,,,,,, +昆仑蒿,Artemisia nanschanica,杨金祥,2238,19630815,西藏自治区,4750,公路边砂土上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235661.jpg,,,,,,,,,, +昆仑蒿,Artemisia nanschanica,W.J.Roborowski,181,18940230,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01842111.jpg,,,,,,,,,, +昆仑蒿,Artemisia nanschanica,"杜庆,孙世洲",250,19810727,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235662.jpg,,,,,,,,,, +怒江蒿,Artemisia nujianensis,高生所西藏队,2457,19730909,四川,3700,阴坡山地,半灌木,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027787.jpg,,,,,,,,,, +怒江蒿,Artemisia nujianensis,青藏队,3175,19810803,四川省,2600,山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190349.jpg,,,,,,,,,, +怒江蒿,Artemisia nujianensis,青藏队,2905,19810718,云南省,2650,山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190357.jpg,,,,,,,,,, +蒿,Artemisia occidentali-sinensis,"余奇,郑臣臣",THP-KD-0155,20170602,四川,3932,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0240889.jpg,,,,,,,,,, +,Artemisia pamirica,"郭柯,郑度",12826,19900905,新疆维吾尔自治区,3750,砾石,冲积扇下部,山地草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01469147.jpg,,,,,,,,,, +,Artemisia pamirica,不祥,3403,19740708,新疆维吾尔自治区 ,3950,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/40250.jpg,,,,,,,,,, +纤梗蒿,Artemisia pewzowii,朱格麟,徐文友,刘玉兰,6607,19640901,新疆维吾尔自治区,925,阿尔泰山前山干旱砾石山基后坡,一年生,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00481866.jpg,,,,,,,,,, +纤梗蒿,Artemisia pewzowii,朱格麟,徐文友,刘玉兰,6162,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00481867.jpg,,,,,,,,,, +纤梗蒿,Artemisia pewzowii,朱格鳞,刘玉兰,徐文友,7007,19640830,新疆,550,阴湿草地,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093063.jpg,,,,,,,,,, +叶苞蒿,Artemisia phyllobotrys,崔友文,5667,19510913,四川省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00478054.jpg,,,,,,,,,, +叶苞蒿,Artemisia phyllobotrys,"T.N.Ho,B.Bartholomew,M.Watson and M.Gilbert",2897,19960904,青海省,3650,"Dry slopes covered with degraded scrubby vegetation,Artemisia bushes predominant.Some collections made from small arable fields,Growing as a dominant shrub on hillside",,有花有果,https://image.cvh.ac.cn/files/l/PE/00545388.jpg,,,,,,,,,, +叶苞蒿,Artemisia phyllobotrys,青海植物,744,1964/8/26,青海,3900,,半灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0261645.jpg,,,,,,,,,, +藏岩蒿,Artemisia prattii,青甘队,268,1959/7/13,青海,,,半灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0169156.jpg,,,,,,,,,, +藏岩蒿,Artemisia prattii,李馨,78388,1958/8/14,四川,2400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0234620.jpg,,,,,,,,,, +藏岩蒿,Artemisia prattii,Anonymous,6050,20030731,西藏自治区,3100,山坡沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234930.jpg,,,,,,,,,, +甘青小蒿,Artemisia przewalskii,中国科学院青甘调查队,1298,19590808,青海省,3320,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00478116.jpg,,,,,,,,,, +甘青小蒿,Artemisia przewalskii,调查队,110,19820724,甘肃省,0~2700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0544954.jpg,,,,,,,,,, +粗茎蒿,Artemisia robusta,李渤生等,6589,19830817,西藏自治区,2300~3400,林内及林缘灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917537.jpg,,,,,,,,,, +粗茎蒿,Artemisia robusta,汪发缵,10084,19450000,重庆市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00478194.jpg,,,,,,,,,, +粗茎蒿,Artemisia robusta,联大,11748,19380901,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0041773.jpg,,,,,,,,,, +,Artemisia sinensis,"Forrest, George",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00417241.jpg,,,,,,,,,, +西南圆头蒿,Artemisia sinensis,K.M.Feng,8372,19401011,云南省,,草坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00492348.jpg,,,,,,,,,, +西南圆头蒿,Artemisia sinensis,郑重,46,19910926,湖北省,1500,山谷沟边草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042103.jpg,,,,,,,,,, +球花蒿,Artemisia smithii,陈晓澄、肖洒等人,10680,20160818,青海,4476,裸岩下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00021205.jpg,,,,,,,,,, +球花蒿,Artemisia smithii,,76-589,19760831,西藏自治区,4300,森林上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479520.jpg,,,,,,,,,, +球花蒿,Artemisia smithii,汤宗孝,1749,19830818,四川省,3450,亚高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00856424.jpg,,,,,,,,,, +西南大头蒿,Artemisia speciosa,贾慎修,292,19510907,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479585.jpg,,,,,,,,,, +西南大头蒿,Artemisia speciosa,吴玉虎,34872,20050722,青海省,4080,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0220296.jpg,,,,,,,,,, +西南大头蒿,Artemisia speciosa,任,781299,19780101,西藏,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00006950.jpg,,,,,,,,,, +肉质叶蒿,Artemisia succulentoides,"张永田,郞楷永",1530,19650816,西藏自治区,3800,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479701.jpg,,,,,,,,,, +肉质叶蒿,Artemisia succulentoides,"张永田, 郎楷永",1518,19650816,西藏,3800,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0041732.jpg,,,,,,,,,, +波密蒿,Artemisia tafelii,生态室高原组,14715,19800902,西藏自治区,3600~3700,林缘灌丛草甸常见种,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479717.jpg,,,,,,,,,, +川藏蒿,Artemisia tainingensis,杨竞生,908,19910926,甘肃省,2850,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042192.jpg,,,,,,,,,, +川藏蒿,Artemisia tainingensis,,Q136,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01496489.jpg,,,,,,,,,, +川藏蒿,Artemisia tainingensis,海仙、珠英、方晔,NPH-026,20130920,云南省,3273,多年生草本群落,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001714.jpg,,,,,,,,,, +甘青蒿,Artemisia tangutica,"崔鸿宾,林有润,夏振岱",80-006,19800905,青海省,2400,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479773.jpg,,,,,,,,,, +甘青蒿,Artemisia tangutica,张寿洲等,1064,20130926,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01990494.jpg,,,,,,,,,, +甘青蒿,Artemisia tangutica,谢登峰、张相宜,2029873,20190924,四川,3310,草地,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02029873.jpg,,,,,,,,,, +指裂蒿,Artemisia tridactyla,"陈伟烈,陈家瑞,郭柯等",7237,19840704,四川省,3450,流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050009.jpg,,,,,,,,,, +指裂蒿,Artemisia tridactyla,Anonymous,4050,19590905,河北省,1250,阴坡,湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234843.jpg,,,,,,,,,, +指裂蒿,Artemisia tridactyla,藏药队,670,19710806,青海省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/24720.jpg,,,,,,,,,, +腺毛蒿,Artemisia viscida,Tso-Pin Wang,6308,,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00482139.jpg,,,,,,,,,, +腺毛蒿,Artemisia viscida,T.T.Yu,14519,19371013,四川省,3340,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479995.jpg,,,,,,,,,, +腺毛蒿,Artemisia viscida,,735,19790712,四川,3190,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719401105.jpg,,,,,,,,,, +密腺毛蒿,Artemisia viscidissima,吴征镒,5572,19760906,西藏,,云冷杉林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219864.jpg,,,,,,,,,, +藏龙蒿,Artemisia waltonii,PE西藏队,PE6715,20170915,西藏自治区,4200,湖边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333977.jpg,,,,,,,,,, +藏龙蒿,Artemisia waltonii,杨永昌,1193,19650917,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234867.jpg,,,,,,,,,, +藏龙蒿,Artemisia waltonii,青藏队,1232,19870826,新疆维吾尔自治区,4960,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234864.jpg,,,,,,,,,, +砂蓝刺头,Artemisia xigazeensis,刘成,李昌洪,熊晓强,16CS13350,20160621,新疆,346,沙漠,沙丘,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1439266.jpg,,,,,,,,,, +日喀则蒿,Artemisia xigazeensis,王作宾,20029,19640811,青海省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0212573.jpg,,,,,,,,,, +日喀则蒿,Artemisia xigazeensis,吴玉虎,37858,20060719,青海,3320,荒漠戈壁滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00025995.jpg,,,,,,,,,, +亚东蒿,Artemisia yadongensis,青藏队,2172,19740910,西藏自治区,2900,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00492197.jpg,,,,,,,,,, +亚东蒿,Artemisia yadongensis,青藏队,74-2172,19740910,西藏,2900,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219865.jpg,,,,,,,,,, +藏白蒿,Artemisia younghusbandii,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,00-66,20180811,西藏,4315,湖岸湿地,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0193065.jpg,,,,,,,,,, +藏白蒿,Artemisia younghusbandii,吴秀武,5.23E+14,20160430,贵州省,808.8,中生、阳性、中温、野生植物、沙土、针阔叶混交林,一年生草本植物,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0042817.jpg,,,,,,,,,, +藏白蒿,Artemisia younghusbandii,,2737,0,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042437.jpg,,,,,,,,,, +高原蒿,Artemisia youngii,杨竞生,7439,19750624,云南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042441.jpg,,,,,,,,,, +高原蒿,Artemisia youngii,未详,1846,19720915,西藏,4500,石砾山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028693.jpg,,,,,,,,,, +云南蒿,Artemisia yunnanensis,青藏队植被组,8230,19760605,西藏自治区,2400,干旱山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01496633.jpg,,,,,,,,,, +云南蒿,Artemisia yunnanensis,杨竞生,s.n.,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0545904.jpg,,,,,,,,,, +云南蒿,Artemisia yunnanensis,,744,19640828,青海省,3900,阳坡 草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496634.jpg,,,,,,,,,, +片马蒿,Artemisia zayuensis,青藏队,8557,19820725,云南省,2900~3000,Abies林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01190970.jpg,,,,,,,,,, +察隅蒿,Artemisia zayuensis,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201327,20200728,西藏,2299,山坡空地上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507085.jpg,,,,,,,,,, +片马蒿,Artemisia zayuensis,武素功,8146A,19640717,云南,2600,山谷常绿阔叶林下路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042220.jpg,,,,,,,,,, +中甸艾,Artemisia zhongdianensis,管开云等,327,19840827,云南省,1850,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042453.jpg,,,,,,,,,, +中甸艾,Artemisia zhongdianensis,中甸队,2161,19620919,云南,2100,林内缓坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219871.jpg,,,,,,,,,, +海南荩草,Arthraxon castratus,彭华,李德铢,1312,19931016,云南省,1650,墙壁上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/320622.jpg,,,,,,,,,, +海南荩草,Arthraxon castratus,武素功,3272,19590922,四川省,2800~2150,江边草坡,,有果无花,https://image.cvh.ac.cn/files/l/KUN/320554.jpg,,,,,,,,,, +海南荩草,Arthraxon castratus,邓懋彬,袁春台等,3729,19561031,江苏省,100,山坡草丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/320643.jpg,,,,,,,,,, +荩草,Arthraxon hispidus,黄河队,7245,1956/7/8,内蒙,1350,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0087879.jpg,,,,,,,,,, +荩草,Arthraxon hispidus,刘林翰 何觀州,16487,19631025,湖南,310,山谷 山地,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0258572.jpg,,,,,,,,,, +,Arthraxon hispidus,岛津制作所标本部,215,1905097,东京,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0044930.jpg,,,,,,,,,, +茅叶荩草,Arthraxon lanceolatus,"李振宇,闫丽春,农必明,李东方",1531,19981025,广西壮族自治区,850,水旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01981167.jpg,,,,,,,,,, +矛叶荩草,Arthraxon lanceolatus,李培元,1020,19581030,四川,,山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0105557.jpg,,,,,,,,,, +茅叶荩草,Arthraxon lanceolatus,张迅,522230191117021LY,20191117,贵州,403,草丛、湿生、阳性、亚高温、碱土、野生植物,一年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0102990.jpg,,,,,,,,,, +小叶荩草,Arthraxon lancifolius,何铸 唐世贵 李伯清,11477,19580921,四川省,,壁上,,,https://image.cvh.ac.cn/files/l/NAS/NAS00514584.jpg,,,,,,,,,, +小叶荩草,Arthraxon lancifolius,刘正宇、,2046011,20041015,重庆市,860,山地草坪中,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0024441.jpg,,,,,,,,,, +小叶荩草,Arthraxon lancifolius,,2503,,云南省 ,,,,,https://image.cvh.ac.cn/files/l/NAS/NAS00514582.jpg,,,,,,,,,, +小荩草,Arthraxon microphyllus,Han Quan-zhong,91256,19911002,云南省 ,0,Rock,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0770631.jpg,,,,,,,,,, +小荩草,Arthraxon microphyllus,T.N.Liou,6059,19321122,,2410,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01662710.jpg,,,,,,,,,, +小荩草,Arthraxon microphyllus,阿国仁,NJWLS780,20091112,云南,2024,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1399970.jpg,,,,,,,,,, +矛叶荩草,Arthraxon prionodes,刘艳春,773,20111016,贵州,1151,路边岩石草坡,草本,,https://image.cvh.ac.cn/files/l/KUN/1399972.jpg,,,,,,,,,, +,Arthraxon prionodes,安明态,36,20020913,贵州省,1500,林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01787275.jpg,,,,,,,,,, +茅叶荩草,Arthraxon prionodes,黄土队,1559,19831005,河南,600,山坡 林下,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0442947.jpg,,,,,,,,,, +尾状节肢蕨,Arthromeris caudata,青藏队,74-5090,19740911,西藏自治区,1530,山坡阔叶林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01863847.jpg,,,,,,,,,, +,Arthromeris himalayensis var. niphoboloides,王汉臣,230,,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01049181.jpg,,,,,,,,,, +灰茎节肢蕨,Arthromeris himalayensis var. niphoboloides,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07415,20160915,西藏,1895,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135919.jpg,,,,,,,,,, +墨脱节肢蕨,Arthromeris medogensis,陈伟烈,14207,19800812,西藏自治区,1600,树杆附生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01726463.jpg,,,,,,,,,, +柳叶节肢蕨,Arthromeris salicifolia,陈伟烈,14207,19800812,西藏自治区,1600,树干附生,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01863849.jpg,,,,,,,,,, +柳叶节肢蕨,Arthromeris salicifolia,陈少卿,16235,19580809,广西壮族自治区,1200,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00158634.jpg,,,,,,,,,, +,Artocarpus gongshanensis,,,,,,,,,,,,,,,,,,, +贡山假升麻,Aruncus gombalanus,张吉华,98724,19980727,江西省,1450,山谷,,有花无果,https://image.cvh.ac.cn/files/l/KUN/764238.jpg,,,,,,,,,, +贡山假升麻,Aruncus gombalanus,C.W. Wang,66792,Sep-35,,3000,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0036476.jpg,,,,,,,,,, +贡山假升麻,Aruncus gombalanus,王启无,71755,1935/11/21,云南,2800,,木本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0040759.jpg,,,,,,,,,, +竹叶兰,Arundina graminifolia,Tsang W.T.,23831,1934/7/7,广西; KWANGSI,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00029126.jpg,,,,,,,,,, +竹叶兰,Arundina graminifolia,刘心祈,28028,19361017,海南岛,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00144693.jpg,,,,,,,,,, +竹叶兰,Arundina graminifolia,章绍免,6426,1959/8/17,浙江,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0265592.jpg,,,,,,,,,, +孟加拉国野古草,Arundinella bengalensis,"Tsang,W.T.",24273,1934/9/9,广东、广西交界,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00012308.jpg,,,,,,,,,, +孟加拉野古草,Arundinella bengalensis,西南综考队川滇黔接壤分队,Jan-65,19650505,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246505.jpg,,,,,,,,,, +孟加拉野古草,Arundinella bengalensis,黄雪彦、黄宝优、黄颖锋、姚积军,451028141030008LY,20141030,广西,785,阔叶林,路旁,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0144116.jpg,,,,,,,,,, +西南野古草,Arundinella hookeri,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01987358.jpg,,,,,,,,,, +西南野古草,Arundinella hookeri,"张挺, 刘成, 亚吉东",18CS17591,20180912,西藏,3280,灌丛林缘草地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484237.jpg,,,,,,,,,, +西南野古草,Arundinella hookeri,安顺队,1121,19590822,贵州省,2620,山顶阳处灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00261706.jpg,,,,,,,,,, +,Arundinella intricata,,,,,,,,,,,,,,,,,,, +石芒草,Arundinella nepalensis,Hitchcock,18722,,广东; Kwangtung,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00012464.jpg,,,,,,,,,, +石芒草,Arundinella nepalensis,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201029,20200719,西藏,2218,岩石上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507226.jpg,,,,,,,,,, +石芒草,Arundinella nepalensis,叶华谷等,8428,20030414,澳门,5,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0179019.jpg,,,,,,,,,, +云南野古草,Arundinella yunnanensis,青藏队植被组,3295,19740920,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469368.jpg,,,,,,,,,, +,Arundinella yunnanensis,C. W. Wang,66574,Oct-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00023142.jpg,,,,,,,,,, +云南野古草,Arundinella yunnanensis,王启无,66574,193509,云南省 ,3000,open slope,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00515176.jpg,,,,,,,,,, +芦竹,Arundo donax,陈少卿,8076,19521123,广东省,,河旁疏荫潮湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/00261982.jpg,,,,,,,,,, +芦竹,Arundo donax,Shiu Ying Hu,7868,19690919,香港,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00261981.jpg,,,,,,,,,, +,Arundo donax,,,,海南岛,,,,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00177382.jpg,,,,,,,,,, +尾花细辛,Asarum caudigerum,张庆费、钟鑫、葛斌杰等,ZX00978,20180320,浙江,462.96,亚热带常绿与落叶混交林,次生林,林缘,沟谷,草本 Herb,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0151637.jpg,,,,,,,,,, +尾花细辛,Asarum caudigerum,陇西山考察队,1256,19910610,福建省,620~900,常绿阔叶林带内 山坡 沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01548960.jpg,,,,,,,,,, +尾花细辛,Asarum caudigerum,孙航,周浙昆,俞宏渊,5137,19930415,西藏自治区,800,under forest,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0433344.jpg,,,,,,,,,, +,Asarum himalaicum,,450,196006,甘肃,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00007369.jpg,,,,,,,,,, +单叶细辛,Asarum himalaicum,高信芬、余奇、郑臣臣、黎怀诚,THP-KD-0860,20170608,四川,2508,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251000.jpg,,,,,,,,,, +单叶细辛,Asarum himalaicum,"简焯坡,应俊生,马成功等",32066,19630925,贵州省,1940,山坡密林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00916800.jpg,,,,,,,,,, +鸟舌兰,Ascocentrum ampullaceum,X.H.Jin,8712,20061220,云南省,1014,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855753.jpg,,,,,,,,,, +鸟舌兰,Ascocentrum ampullaceum,胡启和,仇亚,张绍云,YNS0662,20100102,云南,898,公路边,附生,,https://image.cvh.ac.cn/files/l/KUN/1393576.jpg,,,,,,,,,, +鸟舌兰,Ascocentrum ampullaceum,邬文祥,9210A,19920701,江苏省,,兰苑栽培,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585626.jpg,,,,,,,,,, +,Ascocentrum curvifolium,吉占和,112,19830324,云南省,,附生树上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00200774.jpg,,,,,,,,,, +,Ascocentrum semiteretifolium,,,,,,,,,,,,,,,,,,, +天门冬,Asparagus cochinchinensis,刘淼等,A80066,20060609,安徽省,1100~800,生于林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798197.jpg,,,,,,,,,, +天门冬,Asparagus cochinchinensis,,,1917/9/9,浙江; CHEKIANG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00023131.jpg,,,,,,,,,, +天门冬,Asparagus cochinchinensis,梁向日,61926,19330707,海南省 ,0~600,,攀援植物,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0620211.jpg,,,,,,,,,, +羊齿天门冬,Asparagus filicinus,彭辅松,973,19590513,湖北省,,山林岩边的?土上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01945515.jpg,,,,,,,,,, +羊齿天门冬,Asparagus filicinus,李雄、杨静、邓创发,19052119,20190521,湖南,1000,林下,草本,无花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI068736.jpg,,,,,,,,,, +羊齿天门冬,Asparagus filicinus,王作宾,13150,1942/7/12,甘肃,2600,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0068809.jpg,,,,,,,,,, +甘肃天门冬,Asparagus kansuensis,白龙江考察队,1045,19980730,甘肃省,,山地 山谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01537172.jpg,,,,,,,,,, +甘肃天门冬,Asparagus kansuensis,,28,19790514,四川,1600,,藤本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM722201375.jpg,,,,,,,,,, +甘肃天门冬,Asparagus kansuensis,张志英,9968,1959/7/30,甘肃,1740,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0144779.jpg,,,,,,,,,, +长花天门冬,Asparagus longiflorus,T.P.Wang,6270,19360915,青海省,2900,on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00218394.jpg,,,,,,,,,, +长花天门冬,Asparagus longiflorus,侯学煜,11467,19500913,吉林省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01606708.jpg,,,,,,,,,, +长花天门冬,Asparagus longiflorus,,115,,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00218326.jpg,,,,,,,,,, +短梗天门冬,Asparagus lycopodineus,甘世南,40127,19591106,广西壮族自治区,,山地 水旁 山谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644765.jpg,,,,,,,,,, +短梗天门冬,Asparagus lycopodineus,湖南队,433,19530803,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00218412.jpg,,,,,,,,,, +短梗天门冬,Asparagus lycopodineus,张代贵,2.01E+11,20100715,湖南湘西州,,,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU21554.jpg,,,,,,,,,, +西南天门冬,Asparagus munitus,T. T. Yu俞德浚,5212,19370501,云南,2400,among thickets,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1217879.jpg,,,,,,,,,, +西南天门冬,Asparagus munitus,马山队,450124141114005LY,20141114,广西壮族自治区,,,藤本植物,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0126201.jpg,,,,,,,,,, +西南天门冬,Asparagus munitus,,116,19790529,四川,2500,水沟边,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/SM/SM722201518.jpg,,,,,,,,,, +多刺天门冬,Asparagus myriacanthus,王启无,64752,193508,山西省,3000,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/304267.jpg,,,,,,,,,, +多刺天门冬,Asparagus myriacanthus,四川植被调查队,乡2956,1973/7/18,乡城县,2700,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0096027.jpg,,,,,,,,,, +多刺天门冬,Asparagus myriacanthus,,9360,19600608,云南省,2100,沧江边灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01791650.jpg,,,,,,,,,, +石刁柏,Asparagus officinalis,西藏综考队,1720,19610826,西藏自治区,3800,路边 栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/01532644.jpg,,,,,,,,,, +石刁柏,Asparagus officinalis,赖苏雅拉吐,150521190929001LY,20190929,内蒙古,149,,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IATM/IATM0003468.jpg,,,,,,,,,, +,Asparagus officinalis,,152,19290619,吉林,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0049678.jpg,,,,,,,,,, +北天门冬,Asparagus przewalskyi,王生新,261,19650520,青海省,2220,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/0217067.jpg,,,,,,,,,, +长刺天门冬,Asparagus racemosus,H.Hara et al.,6303444,19631105,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02023826.jpg,,,,,,,,,, +长刺天门冬,Asparagus racemosus,西藏中草药普查队,430,19720606,西藏自治区,2150,吉隆河畔,,无花无果,https://image.cvh.ac.cn/files/l/PE/01532647.jpg,,,,,,,,,, +,Asparagus racemosus,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180478,20181105,Mon State,,,Herb,无花有果,https://image.cvh.ac.cn/files/l/KUN/1498722.jpg,,,,,,,,,, +四川天门冬,Asparagus sichuanicus,姜恕/S.Jiang,7038,19610525,四川省,1510,耕种地旁,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00218897.jpg,,,,,,,,,, +四川天门冬,Asparagus sichuanicus,钟补求,5200,19520716,西藏自治区,3200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00218891.jpg,,,,,,,,,, +四川天门冬,Asparagus sichuanicus,,20349,19600809,四川,2900,,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM722201536.jpg,,,,,,,,,, +西藏天门冬,Asparagus tibeticus,PE西藏考察队,7256,20180614,西藏自治区,4121,河谷、山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332434.jpg,,,,,,,,,, +西藏天门冬,Asparagus tibeticus,扎西次仁,ZhongY130,20080806,西藏,3970,山坡草丛,路旁,河滩或河岸边,灌木,,https://image.cvh.ac.cn/files/l/KUN/1391606.jpg,,,,,,,,,, +西藏天门冬,Asparagus tibeticus,黑水组,1179,1959-5 2,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0164757.jpg,,,,,,,,,, +盐源天门冬,Asparagus yanyuanensis,姜恕/S.Jiang,5566,19600501,四川省,,山谷沟谷杂木林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00034575.jpg,,,,,,,,,, +大盖铁角蕨,Asplenium bullatum,李洪钧,6039,1958/ /,湖北,310,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0201572.jpg,,,,,,,,,, +大盖铁角蕨,Asplenium bullatum,吕惠珍、岑海锋、李金花,451031150312065LY,20150312,广西,1177,阔叶林,沟边,黄棕壤,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMG/GXMG0188353.jpg,,,,,,,,,, +大盖铁角蕨,Asplenium bullatum,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07377,20160914,西藏,1673,石壁上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135962.jpg,,,,,,,,,, +,Asplenium ceterach,,1483,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/TIE/00069217.jpg,,,,,,,,,, +剑叶铁角蕨,Asplenium ensiforme,"严岳鸿,何祖霞",3706,20070505,江西省,500,山谷石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01784483.jpg,,,,,,,,,, +剑叶铁角蕨,Asplenium ensiforme,成晓,王凡红,FB-172,20130625,云南,1800,,,,https://image.cvh.ac.cn/files/l/KUN/1406048.jpg,,,,,,,,,, +剑叶铁角蕨,Asplenium ensiforme,李洪钧,6778,19580900,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00034887.jpg,,,,,,,,,, +云南铁角蕨,Asplenium exiguum,韦宏金、张九兵、王莹,WYG356,20141024,贵州省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0043284.jpg,,,,,,,,,, +云南铁角蕨,Asplenium exiguum,程堂仁,张强英,郭治友等,H-黔三都-Z-0474,20101030,贵州,525,阴坡,草本,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00073865.jpg,,,,,,,,,, +云南铁角蕨,Asplenium exiguum,严克俭,79796,20100817,广西壮族自治区,1072,石山阴湿处,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMI/GXMI062745.jpg,,,,,,,,,, +网脉铁角蕨,Asplenium finlaysonianum,赵子恩,9340,20050308,广西,,山坡灌丛中,草本,无孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0185068.jpg,,,,,,,,,, +网脉铁角蕨,Asplenium finlaysonianum,刘心沂,26574,19360430,海南省,,斜坡向东 中等土 密林中 密阴干燥,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00878377.jpg,,,,,,,,,, +网脉铁角蕨,Asplenium finlaysonianum,刘心祈,26574,19360430,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00034927.jpg,,,,,,,,,, +厚叶铁角蕨,Asplenium griffithianum,北京队,891435,19890425,广西壮族自治区,600,山谷林下石壁,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02019547.jpg,,,,,,,,,, +厚叶铁角蕨,Asplenium griffithianum,福建队,560,19741000,福建省,450,沟谷林下石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00878422.jpg,,,,,,,,,, +厚叶铁角蕨,Asplenium griffithianum,成晓,王凡红,FB-064,20130623,云南,524,树干附生,,,https://image.cvh.ac.cn/files/l/KUN/1406051.jpg,,,,,,,,,, +撕裂铁角蕨,Asplenium gueinzianum,周喜乐、刘静、邹春玉、张九兵,ZXL07515,20161021,广西,567,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0139945.jpg,,,,,,,,,, +,Asplenium gueinzianum,Robert L.Fleming,2218,19750822,,7000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01708079.jpg,,,,,,,,,, +撕裂铁角蕨,Asplenium gueinzianum,宋鼎;张桥蓉;赵国放;张辽;杨斌,CN352,20190804,云南,2634,林缘潮湿处,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1551303.jpg,,,,,,,,,, +胎生铁角蕨,Asplenium indicum,鞠文彬,陈德奎,AZH00770,20151105,四川省,1555,树干,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0235829.jpg,,,,,,,,,, +,Asplenium indicum,武夷山考察队,80-0387,1980/7/27,福建,1000,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0427162.jpg,,,,,,,,,, +胎生铁角蕨,Asplenium indicum,刘正宇,6993,19840826,湖北省,,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0003309.jpg,,,,,,,,,, +西北铁角蕨,Asplenium nesii,X.C.Zhang et H.P.Nooteboom,2369,20020613,河南省,1637,in rock crenices,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02236338.jpg,,,,,,,,,, +西北铁角蕨,Asplenium nesii,徐养鹏,627,1960/9/20,陕西省,1200,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0158200.jpg,,,,,,,,,, +西北铁角蕨,Asplenium nesii,应俊生等,768,1991/8/18,陕西,1400,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0483645.jpg,,,,,,,,,, +巢蕨,Asplenium nidus,韦宏金,JSL7540,20191218,海南,~611,附生;常见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431687.jpg,,,,,,,,,, +巢蕨,Asplenium nidus,陈立卿,93306,19530128,广西,,石上、树上、密林中、石山、润湿,草本,无花无果,https://image.cvh.ac.cn/files/l/GAC/GAC0004579.jpg,,,,,,,,,, +台湾山苏花,Asplenium nidus,H.T.Tsai,61582,19340821,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00116958.jpg,,,,,,,,,, +,Asplenium nitidum,S.S.Bir,5,19590000,,666,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01708184.jpg,,,,,,,,,, +倒挂铁角蕨,Asplenium normale,张挺,许再文,刘杰,吴增源,张玉霄,12CS4254,20121028,台湾,555,林中岩石坡面上,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1406055.jpg,,,,,,,,,, +倒挂铁角蕨,Asplenium normale,詹选怀、彭焱松等,LXP7226,20170815,湖北,209,山坡、路旁、溪边,草本,无花无果,https://image.cvh.ac.cn/files/l/LBG/LBG00132974.jpg,,,,,,,,,, +倒挂铁角蕨,Asplenium normale,江西调查队,1466,19540922,浙江省,,岩石上 山谷 阴湿处 密林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00878981.jpg,,,,,,,,,, +,Asplenium oblanceolatum,张宪春 郭治友 税玉民等,8543,20170412,云南省,1315~1320,岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02236340.jpg,,,,,,,,,, +,Asplenium paucivenosum,"Forrest, George",18170,19-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00413983.jpg,,,,,,,,,, +疏脉苍山蕨,Asplenium paucivenosum,魏奇,WQ417,20141003,云南,2987,石附生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1435048.jpg,,,,,,,,,, +疏脉苍山蕨,Asplenium paucivenosum,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201209,20200724,西藏,2351,石壁上,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1505743.jpg,,,,,,,,,, +北京铁角蕨,Asplenium pekinense,T. N. Liou,,1929/09/,北京,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0020108.jpg,,,,,,,,,, +北京铁角蕨,Asplenium pekinense,方文培,9534,,广东省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00153063.jpg,,,,,,,,,, +北京铁角蕨,Asplenium pekinense,周以良,2465,19500926,鞍山市,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/000441.jpg,,,,,,,,,, +长叶巢蕨,Asplenium phyllitidis,胡君,熊豫宁,伍小刚,王东超,HJ05029,20151024,西藏自治区,960,公路旁,中型附生蕨类,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00593413.jpg,,,,,,,,,, +,Asplenium phyllitidis,A.H.G.Alston,15242,19540604,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01594948.jpg,,,,,,,,,, +长叶巢蕨,Asplenium phyllitidis,李中阳,PT349,20160121,云南,500,,,无孢子囊,https://image.cvh.ac.cn/files/l/GNNU/GNNU0012385.jpg,,,,,,,,,, +,Asplenium polyodon,,9542,19640626,,100,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01708320.jpg,,,,,,,,,, +,Asplenium polyodon,Shiu Ying Hu,11861,19720415,香港,,"in shade,on perpendicular rock,along a stream",,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00849986.jpg,,,,,,,,,, +,Asplenium polyodon,孙吉良,23355,19791118,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/055480.jpg,,,,,,,,,, +长叶铁角蕨,Asplenium prolongatum,赵万义、叶矾、张信坚,lxp-13-25483,20171219,湖南,565,山坡、腐殖土、路旁、石上,陆生、草本、外倾,有孢子囊,https://image.cvh.ac.cn/files/l/SYS/SYS00201173.jpg,,,,,,,,,, +长叶铁角蕨,Asplenium prolongatum,章绍尧,4865,1959/5/7,浙江,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0267284.jpg,,,,,,,,,, +长叶铁角蕨,Asplenium prolongatum,"彭泽祥,张学忠",1019,19550802,陕西省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00879942.jpg,,,,,,,,,, +,Asplenium quadrivalens,,,,,,,,,,,,,,,,,,, +,Asplenium ruta-muraria,,s.n.,,重庆市,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00912061.jpg,,,,,,,,,, +卵叶铁角蕨,Asplenium ruta-muraria,湘黔队,3560,19830810,湖南省,950,石山石缝中,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1221747.jpg,,,,,,,,,, +卵叶铁角蕨,Asplenium ruta-muraria,中甸队,1464,19620827,云南省,2800,疏松林中大石灰石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00912059.jpg,,,,,,,,,, +狭叶铁角蕨,Asplenium scortechinii,陈念劬,44172,19321026,海南市,4000,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00150023.jpg,,,,,,,,,, +狭叶铁角蕨,Asplenium scortechinii,程堂仁,张强英,郭治友等,H-黔三都-Z-0551,20101030,贵州,848,路旁,草本,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00073934.jpg,,,,,,,,,, +狭叶铁角蕨,Asplenium scortechinii,C.F.van Beusekom et al.,951,19680523,,1180,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01708453.jpg,,,,,,,,,, +叉叶铁角蕨,Asplenium septentrionale,X.C.Zhang,4327,20070625,新疆维吾尔自治区,1200,in crevices,,无花无果,https://image.cvh.ac.cn/files/l/PE/01852570.jpg,,,,,,,,,, +叉叶铁角蕨,Asplenium septentrionale,,新1565,76.7.1,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00000001.jpg,,,,,,,,,, +叉裂铁角蕨,Asplenium septentrionale,刘全儒、王辰、张潮,LS316,20030726,山西省,2100,石缝,草,,https://image.cvh.ac.cn/files/l/BNU/0025198.jpg,,,,,,,,,, +细茎铁角蕨,Asplenium tenuicaule,金摄郎、商辉,SG2713,20150810,吉林省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0096805.jpg,,,,,,,,,, +钝齿铁角蕨,Asplenium tenuicaule,野生经济植物组,1109,19630407,河南省,1000,山地,山谷岩石缝,多年生草本,常绿,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0483692.jpg,,,,,,,,,, +细茎铁角蕨,Asplenium tenuicaule,湖南师范学院生物系植物标本室,15555,19621114,湖南省,,丘陵石上阴湿处,,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0250107.jpg,,,,,,,,,, +钝齿铁角蕨,Asplenium tenuicaule var. subvarians,严岳鸿、商辉、刘子玥,SG1592,20161124,湖北,980,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0139410.jpg,,,,,,,,,, +钝齿铁角蕨,Asplenium tenuicaule var. subvarians,张珍万,1691,19611014,陕西省,,沟底,,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0393859.jpg,,,,,,,,,, +钝齿铁角蕨,Asplenium tenuicaule var. subvarians,金摄郎,JSL5323,20170727,安徽,1045,有苔藓岩石上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0152253.jpg,,,,,,,,,, +蒙自铁角蕨,Asplenium trapezoideum,"李渤生,程树志等",3805,19830324,西藏自治区,710,常绿林下石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00912275.jpg,,,,,,,,,, +蒙自铁角蕨,Asplenium trapezoideum,Heung,11540,,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00912272.jpg,,,,,,,,,, +蒙自铁角蕨,Asplenium trapezoideum,C.Wang ,39235,19360521,广西壮族自治区,,on rocks,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00912270.jpg,,,,,,,,,, +铁角蕨,Asplenium trichomanes,C.E.Devol,2341,19420901,上海市,2000,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00153496.jpg,,,,,,,,,, +铁角蕨,Asplenium trichomanes,商辉、刘子玥,SG1481,20160914,新疆,1939,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0126825.jpg,,,,,,,,,, +铁角蕨,Asplenium trichomanes,覃海宁等,18722,20050429,江西省,130,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01861718.jpg,,,,,,,,,, +三翅铁角蕨,Asplenium tripteropus,胡君,熊豫宁,陈庆恒,王东超,HJ05454,20151011,西藏自治区,2300,山路旁,岩石缝中,土生蕨类,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00593417.jpg,,,,,,,,,, +三翅铁角蕨,Asplenium tripteropus,S.Suzuki,s.n.,19270827,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00912959.jpg,,,,,,,,,, +三翅铁角蕨,Asplenium tripteropus,张清其,824,,福建省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00912957.jpg,,,,,,,,,, +半边铁角蕨,Asplenium unilaterale,宋培浪、赵厚涛、陈勇、张久磊,2228,20111014,贵州,,阳湿山谷林下或石灰岩洞内外,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GYBG/GYBG0005870.jpg,,,,,,,,,, +,Asplenium unilaterale,X.C.Zhang et al.,1563,20001113,海南省,1150,In forests,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01455122.jpg,,,,,,,,,, +,Asplenium unilaterale,北京队,891416,19890425,广西壮族自治区,700,山谷林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02019603.jpg,,,,,,,,,, +变异铁角蕨,Asplenium varians,张志英,12599,1959/8/8,甘肃,1750,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0147017.jpg,,,,,,,,,, +变异铁角蕨,Asplenium varians,李法曾,81.204,19810827,山东省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00913121.jpg,,,,,,,,,, +变异铁角蕨,Asplenium varians,金摄郎,JSL5039,20170201,广西,340,山沟边疏林下,草木,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0138713.jpg,,,,,,,,,, +欧亚铁角蕨,Asplenium viride,,s.n.,19270514,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01708764.jpg,,,,,,,,,, +欧亚铁角蕨,Asplenium viride,X.C.Zhang,4328,20070625,新疆维吾尔自治区,1200,in crevices,,无花无果,https://image.cvh.ac.cn/files/l/PE/01852609.jpg,,,,,,,,,, +铁角蕨属,Asplenium viride,严岳鸿、齐新萍,YYH13020,20130909,西藏,3710,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0042521.jpg,,,,,,,,,, +狭翅铁角蕨,Asplenium wrightii,平乐县普查队,450330180515039LY,20180515,广西,436,阔叶林,林下,黄棕壤,一般野生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00413812.jpg,,,,,,,,,, +狭翅铁角蕨,Asplenium wrightii,黄志明,505,19810406,重庆 ,,,,无花无果,https://image.cvh.ac.cn/files/l/JJF/00002118.jpg,,,,,,,,,, +狭翅铁角蕨,Asplenium wrightii,刘炳荣,5100,20050802,广东省,620,林下溪沟边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01785865.jpg,,,,,,,,,, +,Asplenium yoshinagae,江西调查队,271,19540504,江西省,700,山沟 阴湿的岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00913400.jpg,,,,,,,,,, +棕鳞铁角蕨,Asplenium yoshinagae,金摄郎、魏宏宇、张娇,JSL5959,20170904,浙江,750,沟谷边岩石上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0153102.jpg,,,,,,,,,, +,Asplenium yoshinagae,"裘佩喜,吴依平",6309,19810500,浙江省,760,林下岩面,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00913390.jpg,,,,,,,,,, +银鳞紫菀,Aster argyropholis,洪德元等,95047,19950821,四川省,2200~2350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825827.jpg,,,,,,,,,, +银鳞紫菀,Aster argyropholis,杨竞生,90-251,19900718,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01822168.jpg,,,,,,,,,, +巴塘紫菀,Aster batangensis,D.E.Boufford et al.,30650,20040715,四川省,3600~3850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912973.jpg,,,,,,,,,, +巴塘紫菀,Aster batangensis,青藏科考队,11839,19760614,西藏自治区,4200,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803255.jpg,,,,,,,,,, +巴塘紫菀,Aster batangensis,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824823.jpg,,,,,,,,,, +线舌紫菀,Aster bietii,"韩裕丰,邓坤梅,陈永瑞",81-1505,19810806,云南,3800,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823589.jpg,,,,,,,,,, +线舌紫菀,Aster bietii,俞德浚,20636,19381011,云南省 ,3300,"Side of mt.streem,sandy & rocky place.",草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0043648.jpg,,,,,,,,,, +线舌紫菀,Aster bietii,青藏队,4001,1981-8 9,四川省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0150322.jpg,,,,,,,,,, +,Aster bipinnatisectus,Ludlow; Sherriff & Elliot,14164,20-Jul-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00531284.jpg,,,,,,,,,, +,Aster brevis,"Forrest, George",10516,13-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00385618.jpg,,,,,,,,,, +,Aster brevis,,ACE425,19940619,云南,3370,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825447.jpg,,,,,,,,,, +短茎紫菀,Aster brevis,郭先林、郑宏一,2040580,20200717,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02040580.jpg,,,,,,,,,, +扁毛紫菀,Aster bulleyanus,彭华,H-滇云龙-Z 1268,20100730,云南省,3750,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885362.jpg,,,,,,,,,, +扁毛紫菀,Aster bulleyanus,H.T.Tsai,52038,19320915,云南省 ,0,,herb.,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0546353.jpg,,,,,,,,,, +扁毛紫菀,Aster bulleyanus,"韩裕丰,邓坤梅,陈永瑞",81-1642,19810810,云南,3850,秃高山灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01823553.jpg,,,,,,,,,, +长梗紫菀,Aster dolichopodus,,23388,19570730,四川,2650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823554.jpg,,,,,,,,,, +长梗紫菀,Aster dolichopodus,广福林区采集队,1056,19551014,广西壮族自治区,,"水旁,岩石上,疏林下",,有花无果,https://image.cvh.ac.cn/files/l/PE/00275493.jpg,,,,,,,,,, +长梗紫菀,Aster dolichopodus,D.E.Boufford et al,38946,20070804,四川省,3075~3525,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912898.jpg,,,,,,,,,, +辉叶紫菀,Aster fulgidulus,罗建等,LuoJian-XZ-0908,20090613,西藏自治区,2543,林缘山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912814.jpg,,,,,,,,,, +辉叶紫菀,Aster fulgidulus,不祥,291,????????,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/202177.jpg,,,,,,,,,, +,Aster handelii,"Handel-Mazzetti, H.",4617,9-Aug-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00413424.jpg,,,,,,,,,, +,Aster handelii,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-009-B16,20160801,四川,,高山栎群落中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610112.jpg,,,,,,,,,, +红冠紫菀,Aster handelii,K.M.Feng,1675,19390717,云南省,,On open pasture,,有花无果,https://image.cvh.ac.cn/files/l/PE/00275786.jpg,,,,,,,,,, +横斜紫菀,Aster hersileoides,青藏队植被组,9491,19760807,西藏自治区,3100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519575.jpg,,,,,,,,,, +,Aster hersileoides,"Wilson, Ernest Henry",2234,8-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00413422.jpg,,,,,,,,,, +横斜紫菀,Aster hersileoides,,764,19640826,青海省,3700,河谷 陛地 农田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519569.jpg,,,,,,,,,, +异苞紫菀,Aster heterolepis,张英伯,229,19401015,云南省 ,2500,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00257833.jpg,,,,,,,,,, +异苞紫菀,Aster heterolepis,武素功,75,19580923,云南省,2300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00258053.jpg,,,,,,,,,, +异苞紫菀,Aster heterolepis,张志英,3182,19590530,甘肃省,1820,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716801.jpg,,,,,,,,,, +全茸紫菀,Aster hololachnus,青藏队植被组,11838,19760627,西藏自治区,5300,山沟水边草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076124.jpg,,,,,,,,,, +全茸紫菀,Aster hololachnus,,22397,19590713,云南省,3250,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825863.jpg,,,,,,,,,, +全茸紫菀,Aster hololachnus,,22397,19590713,云南,3250,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825862.jpg,,,,,,,,,, +白背紫菀,Aster hypoleucus,"倪志诚,次多,次旦",2724,19820802,西藏自治区,3400,河谷阶地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836992.jpg,,,,,,,,,, +白背紫菀,Aster hypoleucus,Yarlung Zangbo Expedition Team,雅鲁藏布考察队,[YANG Yong,,729,20120807,西藏,3174,沙地,灌木,有花有果,https://image.cvh.ac.cn/files/l/BJM/246041.jpg,,,,,,,,,, +堇舌紫菀,Aster ionoglossus,青藏队植被组,5083,19750710,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519295.jpg,,,,,,,,,, +滇西北紫菀,Aster jeffreyanus,西师生74级,12064,19760708,四川,2400,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825873.jpg,,,,,,,,,, +滇西北紫菀,Aster jeffreyanus,西师生74级,12064,19760708,四川省,2400,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825873.jpg,,,,,,,,,, +滇西北紫菀,Aster jeffreyanus,"李文华,胡勇",345,19810727,云南省,3450,湖旁山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823579.jpg,,,,,,,,,, +,Aster lavanduliifolius,胡君、李丽、罗垚、蒋洪,SC-a-183-B15,20190927,甘肃,1511,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262453.jpg,,,,,,,,,, +,Aster lavanduliifolius,高云东,邓亨宁,黎怀成,THP-KD-2016,20170804,四川,2800~3000,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252416.jpg,,,,,,,,,, +线叶紫菀,Aster lavanduliifolius,"陈伟烈,陈家瑞,郭柯等",6604,19840620,四川省,2750,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823496.jpg,,,,,,,,,, +舌叶紫菀,Aster lingulatus,"D.E.Boufford,et al",35419,20060727,云南省,3280,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799218.jpg,,,,,,,,,, +舌叶紫菀,Aster lingulatus,青藏队,13434,19860826,四川省,3500~3600,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190432.jpg,,,,,,,,,, +舌叶紫菀,Aster lingulatus,李培元,7259,19590817,陕西省,1700,水沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042701.jpg,,,,,,,,,, +,Aster longipetiolatus,管中天,490352,19600809,四川省,0~3870,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0546533.jpg,,,,,,,,,, +大花紫菀,Aster megalanthus,"郎楷永,李良千,费勇",2824,19830806,四川省,4200,高山草甸与灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01536153.jpg,,,,,,,,,, +灰枝紫菀,Aster poliothamnus,"郭本兆,王为义",11930,19750808,青海省,3600,石岩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823594.jpg,,,,,,,,,, +灰枝紫菀,Aster poliothamnus,王一峰等,94412,19940713,甘肃省,2000,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836982.jpg,,,,,,,,,, +灰枝紫菀,Aster poliothamnus,唐昌林,382,19580926,陕西省,680,河岸石壁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00545300.jpg,,,,,,,,,, +灰毛紫菀,Aster polius,"应俊生,洪德元",651069,19650904,西藏自治区,3500,疏灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00287580.jpg,,,,,,,,,, +凹叶紫菀,Aster retusus,"倪志诚,次多,次旦",3083,19820819,西藏自治区,4000,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824920.jpg,,,,,,,,,, +凹叶紫菀,Aster retusus,"倪志诚,次多,次旦",3083,19820819,西藏,4000,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824919.jpg,,,,,,,,,, +四川紫菀,Aster setchuenensis,谢登峰、蔡竞、秦换换,QH-018-B-002,20200927,四川,3228.06m,高原草甸,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02063413.jpg,,,,,,,,,, +狗舌紫菀,Aster setchuenensis,杨龙,93-121,19930621,贵州省,1130,,,有花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0006765.jpg,,,,,,,,,, +,Aster setchuenensis,D. E. Boufford et al.,38338,20050727,四川省,3100~3300,on slope in open and in shade of shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/01894536.jpg,,,,,,,,,, +西固紫菀,Aster sikuensis,"杨金祥,胡志新",3466,19731015,甘肃省,870,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01822344.jpg,,,,,,,,,, +西固紫菀,Aster sikuensis,K.T.Fu,2127,19371021,四川省,2300,on dry bank of road,,有花无果,https://image.cvh.ac.cn/files/l/PE/00287671.jpg,,,,,,,,,, +西固紫菀,Aster sikuensis,付坤俊,17274,1974/10/13,陕西省,740,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0144827.jpg,,,,,,,,,, +德钦紫菀,Aster techinensis,T.T.Yu,9828,19370827,云南省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00275895.jpg,,,,,,,,,, +,Aster techinensis,T. T. Yu,9828,1938,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00122339.jpg,,,,,,,,,, +东俄洛紫菀,Aster tongolensis,D.E.Boufford et al.,31482,20040801,西藏自治区,4320~4450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912822.jpg,,,,,,,,,, +东俄洛紫菀,Aster tongolensis,"杨青松, 星耀武, 苏涛",ZhouZK-07ZX-0339,20080912,云南,,高山灌丛草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1367495.jpg,,,,,,,,,, +东俄洛紫菀,Aster tongolensis,"T.N.Ho,B.Bartholomew,M.Watson and M.Gilbert",1853,19960815,青海省,3620,Growing on grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00300467.jpg,,,,,,,,,, +毛脉紫菀,Aster trichoneurus,王启无,70078,193509,云南省,2700,Ravine,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0044670.jpg,,,,,,,,,, +,Aster trichoneurus,C. W. Wang,70078,Sep-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00122495.jpg,,,,,,,,,, +察瓦龙紫菀,Aster tsarungensis,"X.H.Jin,Y.S.Chen et al.",DLJ-ET1971,20080713,西藏自治区,4500,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113465.jpg,,,,,,,,,, +察瓦龙紫菀,Aster tsarungensis,,943,19720617,四川省,3500~4000,生于高山松林内或向阴林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830449.jpg,,,,,,,,,, +察瓦龙紫菀,Aster tsarungensis,,1444,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01694308.jpg,,,,,,,,,, +,Aster yunnanensis,"Rock, Joseph Francis Charles",14447,26-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00385634.jpg,,,,,,,,,, +云南紫菀,Aster yunnanensis,刘坤,LiuJQ-GN-529,20110913,甘肃省,0~3525,草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280914.jpg,,,,,,,,,, +,Aster yunnanensis,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-011-B04,20160801,四川,,高山栎群落中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610102.jpg,,,,,,,,,, +,Astragalus albido-flavus,,,,,,,,,,,,,,,,,,, +,Astragalus aridovallicola,,,,,,,,,,,,,,,,,,, +,Astragalus basiflorus,,,,,,,,,,,,,,,,,,, +,Astragalus batangensis,,,,,,,,,,,,,,,,,,, +,Astragalus brevialatus,,,,,,,,,,,,,,,,,,, +,Astragalus caeruleopetalinus,,,,,,,,,,,,,,,,,,, +,Astragalus camptodontoides,,,,,,,,,,,,,,,,,,, +,Astragalus changduensis,,,,,,,,,,,,,,,,,,, +,Astragalus changmuicus,,,,,,,,,,,,,,,,,,, +,Astragalus chilienshanensis,,,,,,,,,,,,,,,,,,, +,Astragalus chiukiangensis,,,,,,,,,,,,,,,,,,, +,Astragalus cobresiiphilus,,,,,,,,,,,,,,,,,,, +,Astragalus craibianus,,,,,,,,,,,,,,,,,,, +,Astragalus crassifolius,,,,,,,,,,,,,,,,,,, +,Astragalus dabanshanicus,,,,,,,,,,,,,,,,,,, +,Astragalus datunensis,,,,,,,,,,,,,,,,,,, +,Astragalus davidii,,,,,,,,,,,,,,,,,,, +,Astragalus degensis,,,,,,,,,,,,,,,,,,, +,Astragalus dependens,,,,,,,,,,,,,,,,,,, +,Astragalus dingjiensis,,,,,,,,,,,,,,,,,,, +,Astragalus dulungkiangensis,,,,,,,,,,,,,,,,,,, +,Astragalus dumetorum,,,,,,,,,,,,,,,,,,, +,Astragalus ernestii,,,,,,,,,,,,,,,,,,, +,Astragalus euchlorus,,,,,,,,,,,,,,,,,,, +,Astragalus fenzelianus,,,,,,,,,,,,,,,,,,, +,Astragalus forrestii,,,,,,,,,,,,,,,,,,, +,Astragalus golmuensis,,,,,,,,,,,,,,,,,,, +,Astragalus guinanicus,,,,,,,,,,,,,,,,,,, +,Astragalus habamontis,,,,,,,,,,,,,,,,,,, +,Astragalus handelii,,,,,,,,,,,,,,,,,,, +,Astragalus hedinii,,,,,,,,,,,,,,,,,,, +,Astragalus kialensis,,,,,,,,,,,,,,,,,,, +,Astragalus kukunoricus,,,,,,,,,,,,,,,,,,, +,Astragalus lasaensis,,,,,,,,,,,,,,,,,,, +,Astragalus latiunguiculatus,,,,,,,,,,,,,,,,,,, +,Astragalus lhorongensis,,,,,,,,,,,,,,,,,,, +,Astragalus licentianus,,,,,,,,,,,,,,,,,,, +,Astragalus longilobus,,,,,,,,,,,,,,,,,,, +,Astragalus longiscapus,,,,,,,,,,,,,,,,,,, +,Astragalus lucidus,,,,,,,,,,,,,,,,,,, +,Astragalus luteolus,,,,,,,,,,,,,,,,,,, +,Astragalus mattam,,,,,,,,,,,,,,,,,,, +,Astragalus milingensis,,,,,,,,,,,,,,,,,,, +,Astragalus minutidentatus,,,,,,,,,,,,,,,,,,, +,Astragalus monadelphus,,,,,,,,,,,,,,,,,,, +,Astragalus monbeigii,,,,,,,,,,,,,,,,,,, +,Astragalus muliensis,,,,,,,,,,,,,,,,,,, +,Astragalus neomonadelphus,,,,,,,,,,,,,,,,,,, +,Astragalus orbicularifolius,,,,,,,,,,,,,,,,,,, +,Astragalus pastorius,,,,,,,,,,,,,,,,,,, +,Astragalus peterae,,,,,,,,,,,,,,,,,,, +,Astragalus polycladus,,,,,,,,,,,,,,,,,,, +,Astragalus porphyrocalyx,,,,,,,,,,,,,,,,,,, +,Astragalus prattii,,,,,,,,,,,,,,,,,,, +,Astragalus prodigiosus,,,,,,,,,,,,,,,,,,, +,Astragalus przewalskii,,,,,,,,,,,,,,,,,,, +,Astragalus pseudoversicolor,,,,,,,,,,,,,,,,,,, +,Astragalus pullus,,,,,,,,,,,,,,,,,,, +,Astragalus retusifoliatus,,,,,,,,,,,,,,,,,,, +,Astragalus saxorum,,,,,,,,,,,,,,,,,,, +,Astragalus sedaensis,,,,,,,,,,,,,,,,,,, +,Astragalus semicircularis,,,,,,,,,,,,,,,,,,, +,Astragalus skythropos,,,,,,,,,,,,,,,,,,, +,Astragalus smithianus,,,,,,,,,,,,,,,,,,, +,Astragalus souliei,,,,,,,,,,,,,,,,,,, +,Astragalus sungpanensis,,,,,,,,,,,,,,,,,,, +,Astragalus tanguticus,,,,,,,,,,,,,,,,,,, +,Astragalus tatsienensis,,,,,,,,,,,,,,,,,,, +,Astragalus tingriensis,,,,,,,,,,,,,,,,,,, +,Astragalus tongolensis,,,,,,,,,,,,,,,,,,, +,Astragalus tsataensis,,,,,,,,,,,,,,,,,,, +,Astragalus tumbatsica,,,,,,,,,,,,,,,,,,, +,Astragalus tungensis,,,,,,,,,,,,,,,,,,, +,Astragalus turgidocarpus,,,,,,,,,,,,,,,,,,, +,Astragalus weixiensis,,,,,,,,,,,,,,,,,,, +,Astragalus wenxianensis,,,,,,,,,,,,,,,,,,, +,Astragalus xiaojinensis,,,,,,,,,,,,,,,,,,, +,Astragalus yangtzeanus,,,,,,,,,,,,,,,,,,, +,Astragalus yumenensis,,,,,,,,,,,,,,,,,,, +,Astragalus zayuensis,,,,,,,,,,,,,,,,,,, +,Athyrium aberrans,,,,,,,,,,,,,,,,,,, +宿蹄盖蕨,Athyrium anisopterum,金摄郎、金冬梅、刘子玥,JSL4125,20160529,广东,,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0120415.jpg,,,,,,,,,, +宿蹄盖蕨,Athyrium anisopterum,詹选怀、彭焱松等,LXP3397,20141121,江西,275,山坡、疏林,草本,无花无果,https://image.cvh.ac.cn/files/l/LBG/LBG00136232.jpg,,,,,,,,,, +宿蹄盖蕨,Athyrium anisopterum,廖文波、赵万义、刘忠成、张信坚、叶矾,LXP-13-24910,20171028,湖南,1607,山谷、壤土、疏林、溪边、石上, 陆生、草本、外倾 ,有孢子囊,https://image.cvh.ac.cn/files/l/SYS/SYS00209598.jpg,,,,,,,,,, +,Athyrium atkinsonii,Y.Tateishi et al.,21148,19840928,台湾省,2000~2200,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01396260.jpg,,,,,,,,,, +,Athyrium atkinsonii,黄仁煌,598,19581006,湖北省,1680,沟边林下路旁土边,草本,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0309021.jpg,,,,,,,,,, +大叶假冷蕨,Athyrium atkinsonii,韦宏金、陈彬,JSL7648,20201013,湖北,~1605,坡面疏林下;常见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431488.jpg,,,,,,,,,, +剑叶蹄盖蕨,Athyrium attenuatum,"李良千,王忠涛,杜玉芬,卫然",33,20110901,甘肃省,2084,山坡灌木林,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01914186.jpg,,,,,,,,,, +剑叶蹄盖蕨,Athyrium attenuatum,"D.E. Boufford,K.Fujikawa,S.L.Kelley et al.",39593,20070814,四川省,3350,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01870585.jpg,,,,,,,,,, +剑叶蹄盖蕨,Athyrium attenuatum,D.E.Boufford J.F.Harber & X.H.Li,43351,20130831,云南省,3730,in forest in dark,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02055776.jpg,,,,,,,,,, +西南蹄盖蕨,Athyrium austro-orientale,刘正宇,1755,19810614,重庆市,2050,阴湿林下,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0004344.jpg,,,,,,,,,, +藏东南蹄盖蕨,Athyrium austro-orientale,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07227,20160911,西藏,3199,针叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137113.jpg,,,,,,,,,, +藏东南蹄盖蕨,Athyrium austro-orientale,刘正宇,2081,1981-7 2,四川省,1700,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0006945.jpg,,,,,,,,,, +匍匐蹄盖蕨,Athyrium biserrulatum,王锋 ,90107,19900805,贵州省,2100,,,无花无果,https://image.cvh.ac.cn/files/l/HGAS/058849.jpg,,,,,,,,,, +苍山蹄盖蕨,Athyrium biserrulatum,青藏队,13565,19830830,四川省,2300~2400,山沟果园中,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00714954.jpg,,,,,,,,,, +,Athyrium biserrulatum,"Ducloux, F.",84,1905/12/5,,,,,,https://image.cvh.ac.cn/files/l/P/P00279931.jpg,,,,,,,,,, +,Athyrium bomicola,,,,,,,,,,,,,,,,,,, +,Athyrium bucahwangense,T. T. Yu,20090,1938/9/3,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00103667.jpg,,,,,,,,,, +圆果蹄盖蕨,Athyrium bucahwangense,滇西植物调查组,11237,19800917,云南省,2800,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00715192.jpg,,,,,,,,,, +圆果蹄盖蕨,Athyrium bucahwangense,青藏队,74-3999,19740803,西藏自治区,2800,山坡Tsuga林中,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00715195.jpg,,,,,,,,,, +芽胞蹄盖蕨,Athyrium clarkei,C.W.Wang,72520,19360300,云南省,2600,valley under mixed woods,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00715278.jpg,,,,,,,,,, +芽胞蹄盖蕨,Athyrium clarkei,J.F.Rock,7852,19221100,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00149968.jpg,,,,,,,,,, +芽胞蹄盖蕨,Athyrium clarkei,程堂仁,张强英,郭治友等,H-黔三都-Z-0642,20100930,贵州,915,林下,草本,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00073780.jpg,,,,,,,,,, +短羽蹄盖蕨,Athyrium contingens,,,19590701,云南省,,,,无孢子囊,https://image.cvh.ac.cn/files/l/TIE/00000874.jpg,,,,,,,,,, +短羽蹄盖蕨,Athyrium contingens,孔宪需,3871,19640729,四川省,3100,山顶草甸,,,https://image.cvh.ac.cn/files/l/PE/00059152.jpg,,,,,,,,,, +短羽蹄盖蕨,Athyrium contingens,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4365,20160910,西藏,4038,针叶林缘,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136585.jpg,,,,,,,,,, +蒿坪蹄盖蕨,Athyrium criticum,徐养鹏,628,19600922,陕西省,1100,拴皮栎林下阴湿之处,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00049976.jpg,,,,,,,,,, +蒿坪蹄盖蕨,Athyrium criticum,张志英,7451,1959/7/30,甘肃省,3000,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0093758.jpg,,,,,,,,,, +,Athyrium davidii,"David, A.",,1869-8,,,,,,https://image.cvh.ac.cn/files/l/P/P00279942.jpg,,,,,,,,,, +,Athyrium delicatulum,易思荣,14961,19950917,重庆,,阴湿林缘,草本,有孢子囊,https://image.cvh.ac.cn/files/l/NAS/NAS00610334.jpg,,,,,,,,,, +薄叶蹄盖蕨,Athyrium delicatulum,徐波,鞠文彬,张君议,范雪梅,TXD-A-062,20181109,四川,352,路边林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0249119.jpg,,,,,,,,,, +薄叶蹄盖蕨,Athyrium delicatulum,青藏队,74-4715,19740411,西藏自治区,1530,山坡谷松林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00049984.jpg,,,,,,,,,, +希陶蹄盖蕨,Athyrium dentigerum,,3932,20060630,西藏自治区,3800,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01822762.jpg,,,,,,,,,, +希陶蹄盖蕨,Athyrium dentigerum,O.polunin,3009,,,4333,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01655063.jpg,,,,,,,,,, +希陶蹄盖蕨,Athyrium dentigerum,Linn-Hsen,78057,1959/ /,四川,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0130660.jpg,,,,,,,,,, +齿尖蹄盖蕨,Athyrium dentilobum,青藏队,74-4009,19740803,西藏自治区,2600,山坡Tsuga 林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00715505.jpg,,,,,,,,,, +齿尖蹄盖蕨,Athyrium dentilobum,,,,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC036218.jpg,,,,,,,,,, +湿生蹄盖蕨,Athyrium devolii,严岳鸿等,4028,20070723,江西省,600,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01786328.jpg,,,,,,,,,, +湿生蹄盖蕨,Athyrium devolii,金摄郎、商辉,JSL-202,20120916,广西,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0072555.jpg,,,,,,,,,, +湿生蹄盖蕨,Athyrium devolii,张宪春等,702,19930925,四川省,1800,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00715540.jpg,,,,,,,,,, +多变蹄盖蕨,Athyrium drepanopterum,钱崇澍,1235,19280729,安徽省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/AU/AU052431.jpg,,,,,,,,,, +多变蹄盖蕨,Athyrium drepanopterum,M. K. Li,2937,1940/6/12,云南,2200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0275780.jpg,,,,,,,,,, +多变蹄盖蕨,Athyrium drepanopterum,王培善,76903,19850425,贵州省,1010,石隙生,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00715686.jpg,,,,,,,,,, +毛翼蹄盖蕨,Athyrium dubium,,2161,19430601,贵州省,1400,酸性砂质土 空地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01583372.jpg,,,,,,,,,, +毛翼蹄盖蕨,Athyrium dubium,FLPH Tibet Expedition,12-1665,20120919,西藏自治区,3498,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02032768.jpg,,,,,,,,,, +毛翼蹄盖蕨,Athyrium dubium,成晓,魏奇,公艳芬,FB634,20130831,云南,2343,,,,https://image.cvh.ac.cn/files/l/KUN/1405958.jpg,,,,,,,,,, +无盖蹄盖蕨,Athyrium exindusiatum,"李渤生,程树志等",1734,19821111,西藏自治区,1000~1200,江边林下常见,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00715948.jpg,,,,,,,,,, +无盖蹄盖蕨,Athyrium exindusiatum,秦仁昌,50682,1952000,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00049992.jpg,,,,,,,,,, +喜马拉雅蹄盖蕨,Athyrium fimbriatum,F.E.W.Venning,CH.97A,19101009,,2347,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02109536.jpg,,,,,,,,,, +喜马拉雅蹄盖蕨,Athyrium fimbriatum,X.C.Zhang & L.Wang,4824,20070925,西藏自治区,2230,on cliffs,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02065153.jpg,,,,,,,,,, +喜马拉雅蹄盖蕨,Athyrium fimbriatum,姚玲玲,20181505,20180421,贵州省,500,丛林,,有孢子囊,https://image.cvh.ac.cn/files/l/QNUN/QNUN0028529.jpg,,,,,,,,,, +大盖蹄盖蕨,Athyrium foliolosum,"邢公侠,夏群",5529,19840905,四川省,2000,路边崖缝,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00746243.jpg,,,,,,,,,, +大盖蹄盖蕨,Athyrium foliolosum,,11335,19380824,湖南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00746237.jpg,,,,,,,,,, +大盖蹄盖蕨,Athyrium foliolosum,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4565,20160914,西藏,1484,疏林下岩石上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136503.jpg,,,,,,,,,, +长江蹄盖蕨,Athyrium iseanum,金摄郎、朱晓凤、黄艳波,MES045,20130724,广西,1706,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0046104.jpg,,,,,,,,,, +长江蹄盖蕨,Athyrium iseanum,李洪钧,4292,1958/7/20,湖北,1550,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0199786.jpg,,,,,,,,,, +长江蹄盖蕨,Athyrium iseanum,秦林川等,237,20071000,广东省,1600,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01786562.jpg,,,,,,,,,, +川滇蹄盖蕨,Athyrium mackinnonorum,金摄郎,JSL3030,20150623,安徽省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0113502.jpg,,,,,,,,,, +川滇蹄盖蕨,Athyrium mackinnonorum,邓姣姣、卫靜丽、刘常坤,WJL-13-A-047,20200821,四川,3768.34m,山坡灌丛,中生或阳生,有孢子囊,https://image.cvh.ac.cn/files/l/SZ/02062460.jpg,,,,,,,,,, +,Athyrium mackinnonorum var. glabratum,,,,,,,,,,,,,,,,,,, +,Athyrium mackinnonorum var. yigongense,,,,,,,,,,,,,,,,,,, +墨脱蹄盖蕨,Athyrium medogense,生态室高原组,14028,19800804,西藏自治区,1700,常绿阔叶林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00746655.jpg,,,,,,,,,, +墨脱蹄盖蕨,Athyrium medogense,严岳鸿、齐新萍,YYH12960,20130903,西藏,2800,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0044777.jpg,,,,,,,,,, +狭基蹄盖蕨,Athyrium mehrae,FLPH Tibet Expedition,12-1807,20120919,西藏自治区,4400,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02004254.jpg,,,,,,,,,, +狭基蹄盖蕨,Athyrium mehrae,严岳鸿、齐新萍,YYH12693,20130827,云南省,3184,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0087006.jpg,,,,,,,,,, +狭基蹄盖蕨,Athyrium mehrae,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07215,20160911,西藏,3199,针叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137093.jpg,,,,,,,,,, +红苞蹄盖蕨,Athyrium nakanoi,"李渤生,程树志",4274,19830422,西藏自治区,1900~2200,常绿阔叶林下树上石上时见,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00746688.jpg,,,,,,,,,, +红苞蹄盖蕨,Athyrium nakanoi,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4536,20160915,西藏,,密林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136447.jpg,,,,,,,,,, +红苞蹄盖蕨,Athyrium nakanoi,"朱鑫鑫, 王君, 林庶",ZXX191729,20191207,云南,2276,亚热带常绿阔叶林,林中石头上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1483502.jpg,,,,,,,,,, +疏羽蹄盖蕨,Athyrium nephrodioides,神农架植物考察队,11740,19760821,湖北省,1560,沟边岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00746663.jpg,,,,,,,,,, +疏羽蹄盖蕨,Athyrium nephrodioides,,s.n.,,甘肃省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00746659.jpg,,,,,,,,,, +疏羽蹄盖蕨,Athyrium nephrodioides,朱维明、刘正宇,15348,19821123,云南省,650,山地杂木林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0004611.jpg,,,,,,,,,, +聂拉木蹄盖蕨,Athyrium nyalamense,S.S.Bir,s.n.,19580900,,2333,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01655384.jpg,,,,,,,,,, +聂拉木蹄盖蕨,Athyrium nyalamense,X.C.Zhang,4944,20071003,西藏自治区,2500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02038769.jpg,,,,,,,,,, +聂拉木蹄盖蕨,Athyrium nyalamense,Qinghai-Xizang Comp. Exped. (青藏队),6672,19750630,西藏,2200,阔叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1216891.jpg,,,,,,,,,, +蓖齿蹄盖蕨,Athyrium pectinatum,F.E.W.Venning,263,19240712,,1829,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02065414.jpg,,,,,,,,,, +蓖齿蹄盖蕨,Athyrium pectinatum,张宪春,5280,20081026,西藏自治区,2000,林缘土生,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871360.jpg,,,,,,,,,, +,Athyrium puncticaule,FLPH Tibet Expedition,12-0952,20120904,西藏自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01962505.jpg,,,,,,,,,, +,Athyrium puncticaule,张宪春,3000,20030000,云南省,1750~1800,林中,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01385751.jpg,,,,,,,,,, +,Athyrium puncticaule,刘以诚,9104,20071116,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01963885.jpg,,,,,,,,,, +轴生蹄盖蕨,Athyrium rhachidosorum,"程树志,李渤生",929,19820915,西藏自治区,2200~2400,常绿阔叶林下主要一层草本,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00747738.jpg,,,,,,,,,, +轴生蹄盖蕨,Athyrium rhachidosorum,刘正宇、张军等,S-2835,20170711,重庆,1155.16,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0050392.jpg,,,,,,,,,, +轴生蹄盖蕨,Athyrium rhachidosorum,T.T.Yu,18239,19381123,四川省,3100,under forest,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00747728.jpg,,,,,,,,,, +短尾铁线莲,Athyrium rupicola,蔡晓丽,BJTC008764,20190703,北京市,817,山坡,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008764.jpg,,,,,,,,,, +岩生蹄盖蕨,Athyrium rupicola,刘全儒,QL269,20070729,陕西省,1400,山腰,草本,,https://image.cvh.ac.cn/files/l/BNU/0024714.jpg,,,,,,,,,, +岩生蹄盖蕨,Athyrium rupicola,O.polunin,3069,,,400,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01655484.jpg,,,,,,,,,, +,Athyrium schizochlamys,"张宪春,蒋日红,黄尔峰",8812,20170816,四川省,2700,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234107.jpg,,,,,,,,,, +,Athyrium schizochlamys,王启无,69799,19350900,云南省,3000,Under forest,,,https://image.cvh.ac.cn/files/l/PE/00050951.jpg,,,,,,,,,, +睫毛盖假冷蕨,Athyrium schizochlamys,C.W.Wang,66239,19360901,西藏自治区,3500,under forest,,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0035492.jpg,,,,,,,,,, +绢毛蹄盖蕨,Athyrium sericellum,X.C.Zhang,4979,20071005,西藏自治区,2800,On rocks,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01792792.jpg,,,,,,,,,, +绢毛蹄盖蕨,Athyrium sericellum,贺贤育,4804,19350620,四川省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00050037.jpg,,,,,,,,,, +绢毛蹄盖蕨,Athyrium sericellum,张进伦,4750,19831208,重庆市,1600,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0004356.jpg,,,,,,,,,, +高山蹄盖蕨,Athyrium silvicola,Tetsuji Yamanaka,s.n.,19590814,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02012043.jpg,,,,,,,,,, +高山蹄盖蕨,Athyrium silvicola,"张宪春,刘保东",7767,20161105,云南省,1550,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02088412.jpg,,,,,,,,,, +高山蹄盖蕨,Athyrium silvicola,严岳鸿、齐新萍,YYH13144,20130907,西藏,2850,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0042467.jpg,,,,,,,,,, +,Athyrium subtriangulare,徐养鹏,654,19610713,陕西省,2230,阴沟林下,,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0483616.jpg,,,,,,,,,, +,Athyrium subtriangulare,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191432,20190922,云南,3618,亚热带针阔混交林,灌丛山坡上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1485870.jpg,,,,,,,,,, +,Athyrium subtriangulare,"张宪春,王利松",7639,,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02049672.jpg,,,,,,,,,, +,Athyrium tozanense,山中铁次,,19680730,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01963337.jpg,,,,,,,,,, +,Athyrium tozanense,Y.Tateishi et al.,19488,19840920,台湾省,2100~3090,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01385964.jpg,,,,,,,,,, +尖头蹄盖蕨,Athyrium vidalii,武陵山考察队,738,19880623,贵州省,2200,混交林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01570649.jpg,,,,,,,,,, +尖头蹄盖蕨,Athyrium vidalii,,5507,19860709,福建省,1100,山坡路旁,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00764483.jpg,,,,,,,,,, +尖头蹄盖蕨,Athyrium vidalii,"张宪春,武翀",5432,20081122,湖北省,500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01870573.jpg,,,,,,,,,, +黑秆蹄盖蕨,Athyrium wallichianum,C. W. Wang,64800,1934/7/8,云南,3300,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0034786.jpg,,,,,,,,,, +黑秆蹄盖蕨,Athyrium wallichianum,朱维明,20814,19860824,广西壮族自治区,4180,,,无花无果,https://image.cvh.ac.cn/files/l/HGAS/054679.jpg,,,,,,,,,, +蹄盖蕨属,Athyrium wallichianum,倪志诚,汪永泽,次多,次旦,1421,19800906,西藏,4100,山坡草丛中,,有孢子囊,https://image.cvh.ac.cn/files/l/XZ/XZ0000195.jpg,,,,,,,,,, +察隅蹄盖蕨,Athyrium zayuense,青藏队,10432,19820912,西藏自治区,3350,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01895907.jpg,,,,,,,,,, +察隅蹄盖蕨,Athyrium zayuense,白洪兵,5333241812021123LY,20181202,云南,1963,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/SABG/SABG009984.jpg,,,,,,,,,, +野燕麦,Avena fatua,张宏达,8200,,黑龙江,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00014920.jpg,,,,,,,,,, +野燕麦,Avena fatua,C.W.Wang,70312,19350900,云南省,2700,In field,,有花有果,https://image.cvh.ac.cn/files/l/PE/00288186.jpg,,,,,,,,,, +野燕麦,Avena fatua,贺贤育,22600,19570507,浙江,,阴处,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0179136.jpg,,,,,,,,,, +光稃野燕麦,Avena fatua var. glabrata,F.H.Chen,150,19310000,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00288261.jpg,,,,,,,,,, +光稃野燕麦,Avena fatua var. glabrata,江西调查队,693,19540601,江西省,,山脚溪边向阳处或林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00288221.jpg,,,,,,,,,, +光稃野燕麦,Avena fatua var. glabrata,李晓东,张景博,徐凌翔,顾舒平,LiJ437,20090915,四川,3516,高山草甸,,,https://image.cvh.ac.cn/files/l/KUN/1400123.jpg,,,,,,,,,, +燕麦,Avena sativa,Peterson PM,25026,20130910,甘肃省,0~2288,砂石地,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0770291.jpg,,,,,,,,,, +,Avena sativa,C.Y.Chiao,0,19270519,江苏,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0044562.jpg,,,,,,,,,, +燕麦,Avena sativa,,8100312,19810813,山西,1700,阴坡,,,https://image.cvh.ac.cn/files/l/BJM/143785.jpg,,,,,,,,,, +地毯草,Axonopus compressus,刘艳春等,431,20100917,云南省,1177,on slope,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221278.jpg,,,,,,,,,, +地毯草,Axonopus compressus,J.G.Jack.,6239,19270813,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01662832.jpg,,,,,,,,,, +地毯草,Axonopus compressus,谢智、王文乔、沈慕洁,450802190715042LY,20190715,广西,254,,草本,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0213184.jpg,,,,,,,,,, +,Axonopus fissifolius,Mario E.Villeda,,,,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00560865.jpg,,,,,,,,,, +类地毯草,Axonopus fissifolius,刘成,亚吉东,何华杰,李昌洪,16CS11922,20161115,西藏,2001,林缘草地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1436523.jpg,,,,,,,,,, +满江红,Azolla pinnata,严岳鸿、周喜乐、王兰英,4040,20070723,江西省,600,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00003993.jpg,,,,,,,,,, +,Azolla pinnata,郭治友,S076,20160218,四川省,,池塘内,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02074080.jpg,,,,,,,,,, +,Azolla pinnata,A.P.Everaarts,97,19720416,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01728750.jpg,,,,,,,,,, +白马芥,Baimashania pulvinata,俞德俊,9163,19370725,云南省,4100,mt on rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/00816145.jpg,,,,,,,,,, +,Baimashania pulvinata,"Kunming, Edinburgh, Gothenburg Expedition (1993)",765,4-Jun-93,,,,,,https://image.cvh.ac.cn/files/l/E/E00053069.jpg,,,,,,,,,, +白马芥,Baimashania pulvinata,亚吉东,冯明建,李昌洪,20CS19106,20200705,云南,4576,流石滩,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1505594.jpg,,,,,,,,,, +,Baliospermum bilobatum,,,,,,,,,,,,,,,,,,, +,Bambusa daporijoeana,,,,,,,,,,,,,,,,,,, +,Bambusa longispiculata,叶国栋,1138,19791219,福建省,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/FJSI/FJSI025839.jpg,,,,,,,,,, +花眉竹,Bambusa longispiculata,徐有财,1117,20010919,广东省,45,山坡,木本,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00109904.jpg,,,,,,,,,, +花眉竹,Bambusa longispiculata,"王正平,谢权中",821241,19821225,广西壮族自治区,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/019002072.jpg,,,,,,,,,, +,Bambusa mompana,,,,,,,,,,,,,,,,,,, +淡勒竹,Bambusa pallida,孙吉良,21436,19770905,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/053158.jpg,,,,,,,,,, +大薄竹,Bambusa pallida,郭惠珠,黄克福,2051,20091215,福建,43~201.3,竹林,,无花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0002651.jpg,,,,,,,,,, +,Bambusa teres,张玉霄,许宇星,周梦媛,12199,20120818,云南省,758,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1234516.jpg,,,,,,,,,, +,Bambusa teres,张玉霄,周梦媛,马朋飞,12277,20121011,云南省 ,548,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1238811.jpg,,,,,,,,,, +马甲竹,Bambusa teres,徐有财、陈景方,1142,19900824,广东省,60,山坡,,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00058986.jpg,,,,,,,,,, +,Bambusa tulda,汤彦承,14,19660630,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01512032.jpg,,,,,,,,,, +俯竹,Bambusa tulda,王正平等,14,19831106,广西壮族自治区,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/019003052.jpg,,,,,,,,,, +,Bambusa tulda,山路泓树,司马直央,成晓,10,20140725,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1260833.jpg,,,,,,,,,, +寿丝竹,画竹,Bambusa vulgaris,Tang Sui Pan & Fung Hom,,1928-12-,广西; KWANGSI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00011080.jpg,,,,,,,,,, +,Bambusa vulgaris,F.A.McClure,20702,1937-10-,香港; HK.N.TERR,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00011083.jpg,,,,,,,,,, +,Bambusa vulgaris,蔡淑珍,63,19631006,福建省,,平地,,乔木,无花无果,https://image.cvh.ac.cn/files/l/AU/000748.jpg,,,,,,,,,, +苞藜,Baolia bracteata,朱格麟 王庆瑞等,15620,19730905,甘肃省,1900,阳山坡,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00024032.jpg,,,,,,,,,, +全缘萼假杜鹃,Barleria integrisepala,青藏队,13398,19830825,四川省,1900~2000,雅江边草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01558197.jpg,,,,,,,,,, +全缘萼假杜鹃,Barleria integrisepala,余奇,代文台,CIBYQ088B014,20190814,四川,2082,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1502582.jpg,,,,,,,,,, +,Bauhinia bohniana,,,,,,,,,,,,,,,,,,, +菵草,Beckmannia syzigachne,刘昉勲,1002,19510504,江苏,,潮湿处,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0208673.jpg,,,,,,,,,, +,Beckmannia syzigachne,杨祥学,10723,19500426,江西省,,路边潮湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00284944.jpg,,,,,,,,,, +菵草,Beckmannia syzigachne,岳伟,苏旭,王玉金,LiuJQ-2011-WYJ-295,20110929,四川,3470,温带灌丛平地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1400163.jpg,,,,,,,,,, +角叶铁破锣,Beesia deltophylla,"李渤生,程树志等",4361,19830428,西藏自治区,,常绿阔叶林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491948.jpg,,,,,,,,,, +铁破锣属,Beesia deltophylla,倪志诚,333,19830315,西藏,1800,常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001556.jpg,,,,,,,,,, +糙叶秋海棠,Begonia asperifolia,PE西藏队,PE5860,20170903,西藏自治区,2798,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330319.jpg,,,,,,,,,, +糙叶秋海棠,Begonia asperifolia,李永亮,LIYL1566,20161001,云南,2520,南亚热带中山湿性常绿阔叶林间石岩子,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1448991.jpg,,,,,,,,,, +糙叶秋海棠,Begonia asperifolia,刘慎谔,20888,19460927,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0235370.jpg,,,,,,,,,, +短刺秋海棠,Begonia brevisetulosa,武素功,1425,,四川,0,无,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1205862.jpg,,,,,,,,,, +贡山秋海棠,Begonia gungshanensis,白洪兵、海仙,5333241812061312LY,20181206,云南,1489,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009956.jpg,,,,,,,,,, +阿山琼楠,Beilschmiedia assamica,,1087,1956,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00010581.jpg,,,,,,,,,, +滇印琼楠,Beilschmiedia assamica,"Lau,S.K.",3839,1934/4/4,海南,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00008615.jpg,,,,,,,,,, +,Beilschmiedia assamica,,,19571114,广东,,,乔木,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2002848.jpg,,,,,,,,,, +,Beilschmiedia brandisii,,,,,,,,,,,,,,,,,,, +柱果琼楠,Beilschmiedia cylindrica,"程树志,李渤生",1968,19821202,西藏自治区,1850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00188545.jpg,,,,,,,,,, +粗壮琼楠,Beilschmiedia robusta,宋祥后,428,19830411,贵州,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2002852.jpg,,,,,,,,,, +粗壮琼楠,Beilschmiedia robusta,蒋英,7138,,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0045042.jpg,,,,,,,,,, +粗壮琼楠,Beilschmiedia robusta,中越队,486,1964-12-,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0045043.jpg,,,,,,,,,, +,Beilschmiedia roxburghiana,,7588,19300000,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00188765.jpg,,,,,,,,,, +椆琼楠,Beilschmiedia roxburghiana,陈念劬,41906,1930-10-,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0045045.jpg,,,,,,,,,, +,Beilschmiedia roxburghiana,王洪,6979,20040413,云南,900,疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814341.jpg,,,,,,,,,, +红毛琼楠,Beilschmiedia rufohirtella,青藏队,1599,19740805,西藏自治区,1500,常绿阔叶林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0100607.jpg,,,,,,,,,, +红毛琼楠,Beilschmiedia rufohirtella,,,0,,,,乔木,,https://image.cvh.ac.cn/files/l/HITBC/0015060.jpg,,,,,,,,,, +红毛琼楠,Beilschmiedia rufohirtella,熊忠臣,,19901215,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00003703.jpg,,,,,,,,,, +,Beilschmiedia xizangensis,,,,,,,,,,,,,,,,,,, +射干,Belamcanda chinensis,赵常明,EX0188,20070830,湖北省,1100,阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238989.jpg,,,,,,,,,, +射干,Belamcanda chinensis,郭成勇,20061-504-4,20060928,山东省,480,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238931.jpg,,,,,,,,,, +射干,Belamcanda chinensis,,s.n.,,上海市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00987257.jpg,,,,,,,,,, +暗红小檗,Berberis agricola,俞德浚,16168,19380606,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/161553.jpg,,,,,,,,,, +暗红小檗,Berberis agricola,青藏队,41,19730622,西藏自治区,3600,山坡阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01033053.jpg,,,,,,,,,, +,Berberis agricola,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",14071,3-Jul-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00373487.jpg,,,,,,,,,, +近似小檗,Berberis approximata,青藏科考队,12169,19760627,西藏自治区,4100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037687.jpg,,,,,,,,,, +近似小檗,Berberis approximata,昆明植物研究所,1954,19810708,云南省,2900,竹林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037683.jpg,,,,,,,,,, +近似小檗,Berberis approximata,蒋兴麟,35695,19530000,四川省,3050,沟内林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037682.jpg,,,,,,,,,, +直梗小檗,Berberis asmyana,Chin-Sung Chang et al.,SI0339,20040912,四川省,3522,Salix mixed forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839956.jpg,,,,,,,,,, +直梗小檗,Berberis asmyana,吴中伦,12185,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01030739.jpg,,,,,,,,,, +直梗小檗,Berberis asmyana,熊惠江,520203140318001LY,20140318,贵州省,1349.7,,灌木,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0031354.jpg,,,,,,,,,, +巴塘小檗,Berberis batangensis,Chin-Sung Chang et al.,SI0013,20040706,四川省,3364,Betula mixed forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839966.jpg,,,,,,,,,, +,Berberis brachystachys,,,,,,,,,,,,,,,,,,, +长苞小檗,Berberis bracteata,北京植物所横断山队,1448,19810713,云南省,3300,冷杉林间空地常见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037117.jpg,,,,,,,,,, +钙原小檗,Berberis calcipratorum,George Forrest,5552,19100500,云南省,4000,Open situations on limy pasture,shrub,有花无果,https://image.cvh.ac.cn/files/l/PE/01432163.jpg,,,,,,,,,, +钙原小檗,Berberis calcipratorum,,11431,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0175783.jpg,,,,,,,,,, +,Berberis calcipratorum,"Forrest, George",5552,10-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00217981.jpg,,,,,,,,,, +小檗属,Berberis calliantha,廖世荣,次多,次旦、倪志诚,2501,19810926,西藏,2700,杂木林林下,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0001990.jpg,,,,,,,,,, +弯果小檗,Berberis campylotropa,"唐宇丹,林秦文",2010-066,20100916,西藏自治区,3967,南坡、印度暖湿气流影响湿润,沙石含,,无花无果,https://image.cvh.ac.cn/files/l/PE/02014917.jpg,,,,,,,,,, +弯果小檗,Berberis campylotropa,赵振锯、师进斌,115546,1981-9 2,四川省,3700,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0027147.jpg,,,,,,,,,, +弯果小檗,Berberis campylotropa,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20626,20200625,西藏,3883,高山灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1553124.jpg,,,,,,,,,, +黄球小檗,Berberis chrysosphaera,,9092,19600528,云南省,2560,路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0175673.jpg,,,,,,,,,, +同色小檗,Berberis concolor,K. M. Feng ,5801,19400725,云南省,2100~2300,沟边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037547.jpg,,,,,,,,,, +同色小檗,Berberis concolor,,4758,19180827,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/TIE/00009567.jpg,,,,,,,,,, +同色小檗,Berberis concolor,青藏队,286,19730621,西藏自治区,3200,山坡,灌丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0175843.jpg,,,,,,,,,, +德钦小檗,Berberis contracta,巴山采集队,1690,20080714,重庆市,1929,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01861151.jpg,,,,,,,,,, +德钦小檗,Berberis contracta,青藏队,2879,19810717,云南省,2500,滥沧江西岸山坡顶 灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935134.jpg,,,,,,,,,, +,Berberis coryi,G. Forrest,18516,19-Sep,,2750~3050,,,,https://image.cvh.ac.cn/files/l/HUH/A00280143.jpg,,,,,,,,,, +贡山小檗,Berberis coryi,C.W.Wang,66825,,云南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00313883.jpg,,,,,,,,,, +贡山小檗,Berberis coryi,白洪兵、李红,533324180919948LY,20180919,云南,2056,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009929.jpg,,,,,,,,,, +厚檐小檗,Berberis crassilimba,冯国楣,1147,19390531,云南省,0,山腰,坡上,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0175847.jpg,,,,,,,,,, +,Berberis crassilimba,K. M. Feng,1252,1939/6/9,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038727.jpg,,,,,,,,,, +厚檐小檗,Berberis crassilimba,谢登峰、蔡竞、秦换换,CJ-008-A-034,20200920,四川,2872.83m,灌丛山坡,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02061265.jpg,,,,,,,,,, +城口小檗,Berberis daiana,张七,ZQ6678,20120610,湖北神农架,,山地灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU58836.jpg,,,,,,,,,, +城口小檗,Berberis daiana,Chin-Sung Chang et al.,SI0352,20040912,四川省,2787,Salix mixed forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839955.jpg,,,,,,,,,, +城口小檗,Berberis daiana,张代贵,zdg6778,20120610,湖北省,,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU32946.jpg,,,,,,,,,, +稻城小檗,Berberis daochengensis,Chin-Sung Chang et al.,SI0102,20040708,四川省,3226,Betula mixed forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839962.jpg,,,,,,,,,, +稻城小糪,Berberis daochengensis,四川省植被调查队,2426,19730731,四川,3380,路旁,地边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0178743.jpg,,,,,,,,,, +道孚小檗,Berberis dawoensis,K. M. Feng ,6511,19400810,云南省,3300~3500,草地上或灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01033931.jpg,,,,,,,,,, +道孚小檗,Berberis dawoensis,俞德浚,10560,,云南省 ,3400,山箐,林中,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0175903.jpg,,,,,,,,,, +道孚小檗,Berberis dawoensis,"赵清盛,郭友好,谭仲明",111262,19740625,四川省,3300,坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037864.jpg,,,,,,,,,, +小檗属,Berberis delavayi,西藏生物所植物资源队,3570,19830815,西藏,2350,高山松林流水沟边,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0001958.jpg,,,,,,,,,, +显脉小檗,Berberis delavayi,鞠文彬,李诗琦,代文台,邓璇,CIBJWB001B019,20180804,四川,3120,,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1502129.jpg,,,,,,,,,, +显脉小檗,Berberis delavayi,杨亚滨,7210,1978-7 3,四川省,3250,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0027169.jpg,,,,,,,,,, +得荣小檗,Berberis derongensis,青藏队,3305,19810805,四川省,3200,山坡灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00935137.jpg,,,,,,,,,, +松潘小檗,Berberis dictyoneura,T. P. Wang,W.3153,19350817,山西省,1700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037113.jpg,,,,,,,,,, +松潘小檗,Berberis dictyoneura,,409,19640716,青海省,3700,山地阴坡阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037082.jpg,,,,,,,,,, +松潘小檗,Berberis dictyoneura,青藏队植被组,9849,19760827,西藏自治区,3200,阳坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01037108.jpg,,,,,,,,,, +刺红珠,Berberis dictyophylla,川经西(59)字,3555,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037650.jpg,,,,,,,,,, +刺红珠,Berberis dictyophylla,M.Tabbe Delavay,,18870100,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036442.jpg,,,,,,,,,, +刺红珠,Berberis dictyophylla,C.S.Chang et al.,SI1294,20100810,四川省,3653,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900536.jpg,,,,,,,,,, +丛林小檗,Berberis dumicola,,8999,19600617,云南省,3000,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01031900.jpg,,,,,,,,,, +丛林小檗,Berberis dumicola,Mekong-sahoin diaide,13441,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01031896.jpg,,,,,,,,,, +丛林小檗,Berberis dumicola,南水北调队,8999,19640617,云南省 ,3000,路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0176098.jpg,,,,,,,,,, +,Berberis elliotii,"唐宇丹,林秦文",2010-040,20100914,西藏自治区,3644,南北向河谷 河滩沙石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036684.jpg,,,,,,,,,, +,Berberis elliotii,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13293,1-Oct-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00259017.jpg,,,,,,,,,, +红枝小檗,Berberis erythroclada,罗建、汪书丽、任德智,LiuJQ-034,20090610,西藏自治区,0~4267,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0288466.jpg,,,,,,,,,, +红枝小檗,Berberis erythroclada,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,369,20120730,西藏,,高山草甸,灌木,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230649.jpg,,,,,,,,,, +大果小檗,Berberis fengii,冯国楣,21044,19551012,云南省,0,草地干燥地,,无花有果,https://image.cvh.ac.cn/files/l/KUN/160894.jpg,,,,,,,,,, +大果小檗,Berberis fengii,方震东、和光、史效武、海仙,G-201,20051006,云南,4470,高山灌木丛,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008352.jpg,,,,,,,,,, +金江小檗,Berberis forrestii,青藏队,2191,19810708,云南省,,华山松林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01033066.jpg,,,,,,,,,, +,Berberis forrestii,"Forrest, George",17143,18-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00217995.jpg,,,,,,,,,, +大黄檗,Berberis francisci-ferdinandi,黄河队,734,19570607,山西省,2100,疏林中阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037261.jpg,,,,,,,,,, +大黄檗,Berberis francisci-ferdinandi,青藏队,73-37,19730531,西藏自治区,3800,山坡呼路灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840010.jpg,,,,,,,,,, +大黄檗,Berberis francisci-ferdinandi,曲仲湘,1203,19350608,重庆市,2050,in shrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037267.jpg,,,,,,,,,, +吉隆小檗,Berberis gilungensis,西藏中草药普查队,135,19720605,西藏自治区,3200,林内,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935224.jpg,,,,,,,,,, +,Berberis graminea,"Yü, Tse-tsun",14429,4-Oct-37,,,,,,https://image.cvh.ac.cn/files/l/E/E00217938.jpg,,,,,,,,,, +狭叶小檗,Berberis graminea,T. T. Yu,5584,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01037692.jpg,,,,,,,,,, +狭叶小檗,Berberis graminea,余奇、熊先华、李琳霖,THP-KD-5068,20170815,四川,1687~1736,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251743.jpg,,,,,,,,,, +波密小檗,Berberis gyalaica,"张永田,郞楷永",792,19650721,西藏自治区,2030,山脚杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840008.jpg,,,,,,,,,, +波密小檗,Berberis gyalaica,青藏队植被组,131,19740626,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00049413.jpg,,,,,,,,,, +波密小檗,Berberis gyalaica,高信芬、涂卫国、乔永康、何海,7128,20030907,西藏,3650,路边灌丛,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0098461.jpg,,,,,,,,,, +拉萨小檗,Berberis hemsleyana,PE西藏考察队,7026,20180608,西藏自治区,4172~4868,山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333713.jpg,,,,,,,,,, +拉萨小檗,Berberis hemsleyana,张林、李星月、张晓严,3-222,20180615,西藏,2707,县城中路,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023584.jpg,,,,,,,,,, +拉萨小檗,Berberis hemsleyana,戴红缨,9310102,19931020,江西省,,,落叶灌木,无花有果,https://image.cvh.ac.cn/files/l/JXU/JXU0004731.jpg,,,,,,,,,, +毛梗小檗,Berberis hobsonii,PE西藏考察队,7396,20180616,西藏自治区,3635,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332948.jpg,,,,,,,,,, +毛梗小檗,Berberis hobsonii,高信芬、朱章明、鞠文彬、金伟涛,13870,20110718,西藏,3840,山坡灌草丛,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0223365.jpg,,,,,,,,,, +阴湿小檗,Berberis humido-umbrosa,四川省植被调查组,2090,19730711,四川省,2840,生于干热河谷两岸灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01033136.jpg,,,,,,,,,, +木里荫湿小檗,Berberis humido-umbrosa,俞德浚,13511,19370906,云南省,2800,Mt.slope open place,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0176284.jpg,,,,,,,,,, +,Berberis humido-umbrosa,"Yü, Tse-tsun",14298,17-Sep-37,,,,,,https://image.cvh.ac.cn/files/l/E/E00217945.jpg,,,,,,,,,, +异叶小檗,Berberis hypericifolia,青藏综合考察队,75-945,19750810,西藏自治区,3400,1958年采伐迹地,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00935142.jpg,,,,,,,,,, +异叶小檗,Berberis hypericifolia,P.H.Dorsett and W.J.Morse,1197,19240900,,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/093057154.jpg,,,,,,,,,, +红叶小檗,Berberis hypericifolia,中药系14级,XB0001,20150925,山西,,,,有果无花,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0009013.jpg,,,,,,,,,, +川滇小檗,Berberis jamesiana,"李文华,胡勇",439,19810730,云南省,,干热河谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840116.jpg,,,,,,,,,, +川滇小檗,Berberis jamesiana,T. T. Yu,9862,19370829,吉林省,3100,among forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01033211.jpg,,,,,,,,,, +川滇小檗,Berberis jamesiana,王名金,邹垣,2034,19480626,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00013819.jpg,,,,,,,,,, +九龙小檗,Berberis jiulongensis,陈伟烈等,6436,19840618,四川省,2450,河谷,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935149.jpg,,,,,,,,,, +腰果小檗,Berberis johannis,PE西藏队,PE6387,20170911,西藏自治区,3120,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333361.jpg,,,,,,,,,, +腰果小檗,Berberis johannis,余清珠,83845,1983-08-,西藏省,4720,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0091834.jpg,,,,,,,,,, +腰果小檗,Berberis johannis,王继涛,LZ112,20120717,西藏,3500,,,,https://image.cvh.ac.cn/files/l/BNU/0014222.jpg,,,,,,,,,, +,Berberis kangdingensis,彭玉兰、涂卫国、幸福,Gaoxf542,20080721,四川,2787,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0205478.jpg,,,,,,,,,, +康定小檗,Berberis kangdingensis,Harry Smith,s.n.,19460606,四川省,2600,In colle calcareo,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840099.jpg,,,,,,,,,, +康定小檗,Berberis kangdingensis,郑学忠,严克俭,78995,19900528,,2900,,,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI034090.jpg,,,,,,,,,, +,Berberis kartanica,"李渤生,李辉",14197,19901011,西藏自治区,3600~3800,Abies林上优势,,无花有果,https://image.cvh.ac.cn/files/l/PE/01487660.jpg,,,,,,,,,, +工布小檗,Berberis kongboensis,唐宇丹等,BS005,20061005,西藏自治区,4223,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02061839.jpg,,,,,,,,,, +工布小檗,Berberis kongboensis,青藏队,2852,19810717,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/003659.jpg,,,,,,,,,, +工布小檗,Berberis kongboensis,高信芬、涂卫国、乔永康、何海,7386,20030913,西藏,3050,林缘灌丛,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0098474.jpg,,,,,,,,,, +光叶小檗,Berberis lecomtei,西藏中草药普查队,3019,19720526,西藏自治区,3100~3300,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840053.jpg,,,,,,,,,, +光叶小檗,Berberis lecomtei,,2月16日,19640615,江西省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/093057073.jpg,,,,,,,,,, +光叶小檗,Berberis lecomtei,T. T. Yu,9618,19370812,吉林省,3850,rocad side,,无花无果,https://image.cvh.ac.cn/files/l/PE/01033854.jpg,,,,,,,,,, +丽江小檗,Berberis lijiangensis,Forest,2203,19100527,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01030833.jpg,,,,,,,,,, +,Berberis lijiangensis,陆露,Peter W Fritsch,张永彪,张明英,陈小涛,WH-2013-192,20130916,云南,2500,常绿阔叶林季风性沟谷雨林下,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1320854.jpg,,,,,,,,,, +,Berberis lijiangensis,"Forrest, George",2203,6-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00217951.jpg,,,,,,,,,, +长刺小檗,Berberis longispina,"李渤生,李辉,多吉次旦",13003,19900815,西藏自治区,4450,阳坡 Sabina灌丛中常见 水边较多,,无花无果,https://image.cvh.ac.cn/files/l/PE/01487671.jpg,,,,,,,,,, +,Berberis lubrica,"Schneider, Camillo Karl",1384,25-May-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00217956.jpg,,,,,,,,,, +,Berberis lubrica,王乾、顾健,SCW2470,20200603,四川,2714.4,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0270145.jpg,,,,,,,,,, +,Berberis ludlowii,"Farrer, Reginald John",1399,18-Oct-19,,,,,,https://image.cvh.ac.cn/files/l/E/E00117388.jpg,,,,,,,,,, +大花小蘖,Berberis ludlowii,C.W.Wang,69710,19350000,云南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00314079.jpg,,,,,,,,,, +大花小檗,Berberis ludlowii,俞德浚,11622,19370616,云南省,3500,among abiex woods,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0176532.jpg,,,,,,,,,, +炉霍小檗,Berberis luhuoensis,郎楷永等,539,19820707,四川省,2100,南门关沟口至沟中,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935164.jpg,,,,,,,,,, +炉霍小檗,Berberis luhuoensis,高云东;李忠荣;鞠文彬,GaoXF-12-198,20120924,四川,2303,北温带针阔混交林 路边平地,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253786.jpg,,,,,,,,,, +,Berberis luhuoensis,胡君、王东超、李丽、唐露,SC-a-073-B008,20180808,云南,3378,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261153.jpg,,,,,,,,,, +,Berberis medogensis,,,,,,,,,,,,,,,,,,, +,Berberis mekongensis,"Forrest, George",13204,14-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00217957.jpg,,,,,,,,,, +湄公小檗,Berberis mekongensis,冯国楣,21224,19550830,云南省,3400,灌木众中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01032807.jpg,,,,,,,,,, +湄公小檗,Berberis mekongensis,"黄治平,罗正远,蒋卓然",1343,19300708,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01032804.jpg,,,,,,,,,, +万源小檗,Berberis metapolyantha,李培元,4427,19590730,四川省,1500,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037338.jpg,,,,,,,,,, +冕宁小檗,Berberis mianningensis,武素功,2021,19590719,四川省,2650,山箐中 草本一坝,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00935166.jpg,,,,,,,,,, +木里小檗(原变种),Berberis muliensis,白洪兵、李红,533324180921989LY,20180921,云南,3620,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010090.jpg,,,,,,,,,, +木里小檗,Berberis muliensis,西藏中草药普查队,1971,19721009,西藏自治区,4100,沟边,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840052.jpg,,,,,,,,,, +木里小檗,Berberis muliensis,彭玉兰、余奇、李林霖,THP-KD-1312,20170616,四川,3091,,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253075.jpg,,,,,,,,,, +多枝小檗,Berberis multicaulis,"倪志诚,次多等",2109,19810908,西藏自治区,3950,高山灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01037424.jpg,,,,,,,,,, +多枝小檗,Berberis multicaulis,高信芬、朱章明、鞠文彬、金伟涛,14534,20110726,西藏,3895,山坡沙地,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0224041.jpg,,,,,,,,,, +多珠小檗,Berberis multiovula,K.L.Chu,2493,19360502,四川省,2767,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00935175.jpg,,,,,,,,,, +粗齿小檗,Berberis multiserrata,张经炜,1117,19730821,西藏自治区,3950,东坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00935231.jpg,,,,,,,,,, +小檗属,Berberis multiserrata,倪志诚 汪永泽 次多 次旦,1104,19800815,西藏,3600,河边灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0001913.jpg,,,,,,,,,, +无脉小檗,Berberis nullinervis,西藏队植被组,6112,19750911,西藏自治区,4200~4300,河谷 山麓,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037977.jpg,,,,,,,,,, +无脉小檗,Berberis nullinervis,,10476,19290226,,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/093057253.jpg,,,,,,,,,, +垂果小檗,Berberis nutanticarpa,王启无,68731,19350800,云南省,3600,forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037123.jpg,,,,,,,,,, +垂果小檗,Berberis nutanticarpa,,2368,19740904,西藏自治区,3700,高山草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01037121.jpg,,,,,,,,,, +垂果小檗,Berberis nutanticarpa,"刘杰, 罗亚皇, 刘基男, 谭少林",YMT3500-1-2007,20130618,云南,3514,川滇高山栎-杜鹃林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1458133.jpg,,,,,,,,,, +裂瓣小檗,Berberis obovatifolia,"张永田,郞楷永",1548,19650816,西藏自治区,3800,山坡灌木从事,,无花有果,https://image.cvh.ac.cn/files/l/PE/01030832.jpg,,,,,,,,,, +淡色小蘖,Berberis pallens,,79,19821003,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/074452.jpg,,,,,,,,,, +淡色小檗,Berberis pallens,G.Forrest,5553,1910,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0091908.jpg,,,,,,,,,, +淡色小檗,Berberis pallens,J.F.Rock,18057,29-Jun,四川省,4150,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0091909.jpg,,,,,,,,,, +乳突小檗,Berberis papillifera,,59430,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0176687.jpg,,,,,,,,,, +乳突小檗,Berberis papillifera,青藏队,14174,19830922,四川省,3200~3400,山坡高山栎林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037196.jpg,,,,,,,,,, +乳突小檗,Berberis papillifera,谭少林,YLDP068C,20150816,云南,,无,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1452248.jpg,,,,,,,,,, +拟粉叶小檗,Berberis parapruinosa,张永田 郎楷永,3415,19660506,西藏自治区,2750,山坡铁杉林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935232.jpg,,,,,,,,,, +平武小檗,Berberis pingwuensis,,10241,19580515,四川省,2050,沟旁林边,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935189.jpg,,,,,,,,,, +平武小檗,Berberis pingwuensis,李桂全,唐忠平,470,20020607,四川,2000,公路旁杉树林,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0098322.jpg,,,,,,,,,, +阔叶小檗,Berberis platyphylla,余奇,熊静,CIBYQ065B005,20190523,四川,2805,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1504064.jpg,,,,,,,,,, +阔叶小檗,Berberis platyphylla,青藏队,10453,19820913,西藏自治区,3450,山坡 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602463.jpg,,,,,,,,,, +阔叶小檗,Berberis platyphylla,"陈伟烈,陈家瑞等",6414,19840617,四川省,3300,桦林林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01032811.jpg,,,,,,,,,, +刺黄花,Berberis polyantha,韩裕丰等,83-323,19830826,四川省,3050,干旱河谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840111.jpg,,,,,,,,,, +小檗属,Berberis polyantha,倪志诚 次多 次旦,2929,19820813,西藏,3000,,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001933.jpg,,,,,,,,,, +刺黄花,Berberis polyantha,李馨,71378,1957/6/8,四川,2580,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0253238.jpg,,,,,,,,,, +短锥花小檗,Berberis prattii,邱炳云,32069,19560811,云南省,0,栽培,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0176760.jpg,,,,,,,,,, +短锥花小檗,Berberis prattii,青藏队补点组,150868,19750727,西藏自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037160.jpg,,,,,,,,,, +短锥花小檗,Berberis prattii,李馨,72764,19571030,四川省,2750,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037165.jpg,,,,,,,,,, +假美丽小檗,Berberis pseudoamoena,四川经济植物调查队凉山分队,970,19590623,四川省,3500,阳处 草地,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935191.jpg,,,,,,,,,, +普兰小檗,Berberis pulangensis,青藏队,76-8494,19760716,西藏自治区,3700,山坡 村寨边,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00935237.jpg,,,,,,,,,, +普兰小檗,Berberis pulangensis,王辰,,20110623,西藏,4100~4500,草甸,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0047930.jpg,,,,,,,,,, +短序小檗,Berberis racemulosa,青藏队植被组,6879,19750604,西藏自治区,3400,河谷山坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840005.jpg,,,,,,,,,, +短序小檗,Berberis racemulosa,李渤生,10100,19870620,新疆维吾尔自治区,2100,河边时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01352402.jpg,,,,,,,,,, +,Berberis racemulosa,,,,,,,,,,,,,,,,,,, +芒康小檗,Berberis reticulinervis,C.S.Chang et al.,SI1050,20100703,四川省,2589,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900779.jpg,,,,,,,,,, +芒康小檗,Berberis reticulinervis,青藏队植被组,8265,19760607,西藏自治区,3800,林边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01840058.jpg,,,,,,,,,, +芒康小檗,Berberis reticulinervis,彭玉兰、张君议、郑臣臣,THP-KD-4326,20170715,四川,3199~3808,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251739.jpg,,,,,,,,,, +心叶小檗,Berberis retusa,四川省植被调查队,2596,19730820,四川省,3000,生于向阳干燥河谷,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00935240.jpg,,,,,,,,,, +心叶小檗,Berberis retusa,青藏队,1954,1981-7 8,云南省,2900,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0027632.jpg,,,,,,,,,, +心叶小檗,Berberis retusa,高信芬、朱章明、鞠文彬、金伟涛,13303,20110703,四川,2800,干旱河谷山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0223382.jpg,,,,,,,,,, +砂生小檗,Berberis sabulicola,吴征镒等,75-342,19750619,西藏自治区,3810,河砾岩缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840006.jpg,,,,,,,,,, +短苞小檗,Berberis sherriffii,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,29,20120724,西藏,,林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230714.jpg,,,,,,,,,, +短苞小檗,Berberis sherriffii,杨竞生,90-296,1990/7/21,西藏省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0092018.jpg,,,,,,,,,, +短苞小檗,Berberis sherriffii,"唐宇丹,林秦文",2010-100,20100919,西藏自治区,2925,东南向沟谷南坡 潮湿 腐殖土生长,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036095.jpg,,,,,,,,,, +,Berberis sichuanica,胡君、李丽、吴宏蓉、唐双磊、薛金瑞、党喜军,SC-a-101-B02,20190724,云南,2334,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261160.jpg,,,,,,,,,, +,Berberis sichuanica,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-027-B17,20160809,四川,,高山栎群落中,常绿灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609509.jpg,,,,,,,,,, +四川小檗,Berberis sichuanica,236任务组,52,19720702,四川省,3000,山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935198.jpg,,,,,,,,,, +云南小檗,Berberis stiebritziana,方震东、和光、史效武、海仙,G-121,20050926,云南,4480,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG008353.jpg,,,,,,,,,, +云南小檗,Berberis stiebritziana,俞德浚,10625,,云南省 ,4100,山箐,灌木林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0177126.jpg,,,,,,,,,, +,Berberis stiebritziana,C. K. Schneider,2908,1914/9/16,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038797.jpg,,,,,,,,,, +独龙小檗,Berberis taronensis,普查队,4219,19730625,四川省,2700,向阳坡地,灌丛下,灌木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM704800385.jpg,,,,,,,,,, +独龙小檗,Berberis taronensis,宋鼎;张桥蓉;赵国放;张辽;杨斌,CN306,20190803,云南,2749,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1552756.jpg,,,,,,,,,, +独龙小檗,Berberis taronensis,蓝顺彬,685,19860504,云南省,2200,石炭缝,,无花无果,https://image.cvh.ac.cn/files/l/PE/01031872.jpg,,,,,,,,,, +里龙小檗,Berberis taylorii,黄荣福,373,19890909,西藏自治区,3100,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/155897.jpg,,,,,,,,,, +粉叶小檗,Berberis temolaica,PE西藏队,PE6798,20170917,西藏自治区,3971,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333391.jpg,,,,,,,,,, +,Berberis temolaica,"Kingdon-Ward, Francis",5773,13-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00259019.jpg,,,,,,,,,, +林芝小檗,Berberis temolaica,高信芬、涂卫国,6749,20030831,西藏,4370,高山灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0098421.jpg,,,,,,,,,, +细梗小檗,Berberis tenuipedicellata,杨竞生,91-170,19910527,四川省,2700,雅砻江边,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037167.jpg,,,,,,,,,, +细梗小檗,Berberis tenuipedicellata,高信芬、黎怀诚,THP-KD-0419,20170603,四川,3932,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253105.jpg,,,,,,,,,, +细梗小檗,Berberis tenuipedicellata,刘正宇,2051610,20050614,重庆,2400,山地灌木丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0053584.jpg,,,,,,,,,, +川西小檗,Berberis tischleri,W. P. Fang,3655,19280928,四川省,8500~9000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037541.jpg,,,,,,,,,, +川西小檗,Berberis tischleri,Kobuski,12757,19310525,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01032912.jpg,,,,,,,,,, +,Berberis tischleri,胡君、王东超、李丽、唐露,SC-a-046-B03,20180713,四川,,高山栎群落中,落叶灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609515.jpg,,,,,,,,,, +微毛小檗,Berberis tomentulosa,T. T. Yu,19640,19380805,云南省,2500,"Mt. slope open & Rocky, niace",,有花无果,https://image.cvh.ac.cn/files/l/PE/01037540.jpg,,,,,,,,,, +,Berberis tomentulosa,"Yü, Tse-tsun",19640,5-Aug-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00117392.jpg,,,,,,,,,, +毛序小檗,Berberis trichiata,青藏科考队,11833,19760609,西藏自治区,3500,云杉林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00935246.jpg,,,,,,,,,, +毛序小檗,Berberis trichiata,高信芬、朱章明、鞠文彬、金伟涛,14686,20110729,西藏,3090,河谷灌丛,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0224300.jpg,,,,,,,,,, +,Berberis tsangpoensis,,,,,,,,,,,,,,,,,,, +隐脉小檗,Berberis tsarica,李渤生,11045,19870817,西藏自治区,4300,山坡及覆沙谷地成群落,,无花无果,https://image.cvh.ac.cn/files/l/PE/01352404.jpg,,,,,,,,,, +察瓦龙小檗,Berberis tsarongensis,姚淦,3045,19900701,西藏自治区,3800,山坡灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00004914.jpg,,,,,,,,,, +察瓦龙小檗,Berberis tsarongensis,K. M. Feng ,4221,19400527,云南省,2900~3300,杂林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01033049.jpg,,,,,,,,,, +察瓦龙小檗,Berberis tsarongensis,郎楷永,李良千,费勇,80,19820607,四川省,3500~3700,山坡,冷杉林缘,灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0177247.jpg,,,,,,,,,, +阴生小檗,Berberis umbratica,"应俊生,洪德元",650285,19650619,西藏自治区,3340,南坡,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840004.jpg,,,,,,,,,, +小檗属,Berberis umbratica,倪志诚 次多 次旦 廖世荣,1936,19810902,西藏,3400,河谷路旁灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001910.jpg,,,,,,,,,, +匙叶小檗,Berberis vernae,黄河调查队甲队,24,19550607,山西省,1420,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01032558.jpg,,,,,,,,,, +匙叶小檗,Berberis vernae,廉永善等,96846,19960820,甘肃省,2100,干热河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840139.jpg,,,,,,,,,, +匙叶小檗,Berberis vernae,标本馆,2745,1956/09/,河北,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0342711.jpg,,,,,,,,,, +可食小檗,Berberis vinifera,"张永田,郞楷永",3344,19660512,西藏自治区,2500,山坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840003.jpg,,,,,,,,,, +,Berberis weixiensis,,,,,,,,,,,,,,,,,,, +,Berberis xanthophlaea,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003043,20171128,西藏,3108,Mixed coniferous broad leaved forest,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1456524.jpg,,,,,,,,,, +黄皮小檗,Berberis xanthophlaea,倪志诚,次多,次旦,廖世荣,2374,19810919,西藏自治区,3000,山谷灌丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0001849.jpg,,,,,,,,,, +云南小檗,Berberis yunnanensis,青藏队,3934,19810809,四川省,3900~4000,山沟内园柏冷杉林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01030768.jpg,,,,,,,,,, +云南小檗,Berberis yunnanensis,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191507,20190928,云南,4164,亚热带,高山灌丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486010.jpg,,,,,,,,,, +,Berberis yunnanensis,黄全,263,19570624,陕西,2210,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00009779.jpg,,,,,,,,,, +察隅小檗,Berberis zayulana,张林、李星月、张晓严,3-479,20180621,西藏,3679,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023915.jpg,,,,,,,,,, +察隅小檗,Berberis zayulana,CMTTE,CMTTE808,20120807,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0106274.jpg,,,,,,,,,, +细梗勾儿茶,Berchemia longipedicellata,"于胜祥,候元同等",6165,20110830,西藏自治区,,沿途路旁山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003564.jpg,,,,,,,,,, +细梗勾儿茶,Berchemia longipedicellata,滇黔桂区系队,50060,19910730,贵州省,1250~1300,石山常绿林林缘岩石上,藤灌,无花有果,https://image.cvh.ac.cn/files/l/KUN/0416713.jpg,,,,,,,,,, +,Berchemia longipedicellata,胡君、王东超、李丽、唐露,SC-a-090-B07(A),20180814,西藏,,高山栎群落中,落叶小灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609094.jpg,,,,,,,,,, +,Berchemia medogensis,,,,,,,,,,,,,,,,,,, +天全岩白菜,Bergenia tianquanensis,四川农学院植物专业,983,19590615,四川省,2200,山沟岩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00867184.jpg,,,,,,,,,, +波密桦,Betula bomiensis,"程树志,李渤生",261,19820820,西藏自治区,,50km处 冷杉林绿 矮林主要建群种,,无花有果,https://image.cvh.ac.cn/files/l/PE/01494003.jpg,,,,,,,,,, +岩桦,Betula calcicola,C.W.Wang,66563,19350900,西藏自治区,3500,Border of Oak forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00767351.jpg,,,,,,,,,, +,Betula calcicola,"Forrest, George",5835,10-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00275511.jpg,,,,,,,,,, +岩桦,Betula calcicola,白洪兵、李红,533324180917902LY,20180917,云南,1678,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009441.jpg,,,,,,,,,, +高山桦,Betula delavayi,"唐宇丹,林秦文",2010-069,20100916,西藏自治区,3532,南北向沟谷,瀑布边,沙土与腐殖土混,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015371.jpg,,,,,,,,,, +,Betula delavayi,,,,,,,,,,,,,,,,,,, +高山桦,Betula delavayi,冯国楣,20969,19551002,云南省,2800~3200,松林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057981.jpg,,,,,,,,,, +九龙桦,Betula jiulungensis,应俊生,4780,19601009,四川省,2400,,乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/00020159.jpg,,,,,,,,,, +九龙桦,Betula jiulungensis,,845,19590615,四川,,山坡河边,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM701800098.jpg,,,,,,,,,, +矮桦,Betula potaninii,Z.H.Yang,86119,19860809,云南省,3300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0367490.jpg,,,,,,,,,, +矮桦,Betula potaninii,生物研究所西藏考察队,2329,19730828,西藏自治区,4000,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/39186.jpg,,,,,,,,,, +,Betula potaninii,"许炳强,周伟,郑朝汉",XiaNH0097,20080827,青海省,3729,次生灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1326171.jpg,,,,,,,,,, +菱苞桦,Betula rhombibracteata,K.M.Feng,5675,19400720,云南省,2500,沟边 杂林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/00037909.jpg,,,,,,,,,, +,Bhutanthera albomarginata,,,,,,,,,,,,,,,,,,, +,Biermannia arunachalensis,,,,,,,,,,,,,,,,,,, +,Biermannia bimaculata,,,,,,,,,,,,,,,,,,, +,Biermannia jainiana,,,,,,,,,,,,,,,,,,, +宽叶秦岭藤,Biondia hemsleyana,,910,19581105,湖北省,650,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0517942.jpg,,,,,,,,,, +宽叶秦岭藤,Biondia hemsleyana,白水江考察队,1112,20060704,甘肃省,1000,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01358922.jpg,,,,,,,,,, +宽叶秦岭藤,Biondia hemsleyana,杨宗汉,86070,19860626,云南省 ,1800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0517938.jpg,,,,,,,,,, +长序梗秦岭藤,Biondia longipes,应俊生,3537,19600522,四川省,2450,灌丛中,藤本缠绕,有花无果,https://image.cvh.ac.cn/files/l/PE/01432792.jpg,,,,,,,,,, +宝兴藤,Biondia pilosa,四川大学生物系分类教研组,23485,19570802,四川省,2750,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01019185.jpg,,,,,,,,,, +宝兴藤,Biondia pilosa,四川第八森林大队,5203,1958.6.2.,四川,2720,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005618.jpg,,,,,,,,,, +宝兴藤,Biondia pilosa,C.K.Chow,78,19451100,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00207965.jpg,,,,,,,,,, +卷冠秦岭藤,Biondia revoluta,王作宾,19120,19640430,甘肃省,1500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/010866.jpg,,,,,,,,,, +,Biondia revoluta,"Kingdon-Ward, Francis",310,13-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00021273.jpg,,,,,,,,,, +乌毛蕨,Blechnidium melanopus,魏奇,王凡红,公艳芬,FB-306,20130806,云南,1609,,,,https://image.cvh.ac.cn/files/l/KUN/1406094.jpg,,,,,,,,,, +乌木蕨,Blechnidium melanopus,"李渤生,程树志",4251,19830422,西藏自治区,2000,岩洞石壁上时见,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00945007.jpg,,,,,,,,,, +乌毛蕨,Blechnidium melanopus,卢金梅,曾春霞,LuJM467,20071128,广东,530,,,,https://image.cvh.ac.cn/files/l/KUN/1406095.jpg,,,,,,,,,, +,Blechnopsis orientalis,,,,,,,,,,,,,,,,,,, +小白及,Bletilla formosana,W. R. Price,470,,台湾; Formosa,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028861.jpg,,,,,,,,,, +小白及,Bletilla formosana,,s.n.,,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00200788.jpg,,,,,,,,,, +小白芨,Bletilla formosana,张挺,郭永杰,易思荣等,10CS1730,20100508,重庆,1615,山坡林缘,草本,,https://image.cvh.ac.cn/files/l/KUN/1393579.jpg,,,,,,,,,, +扁穗草,Blysmus compressus,"何志斌, 杜军, 陈龙飞, 李晶, 田全彦, 房舒, 赵敏敏",HHZA0130,20160905,宁夏,1107,温带撂荒地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1449183.jpg,,,,,,,,,, +扁穗草,Blysmus compressus,陈少卿,8108,19521128,广东省,0,田中,无荫,潮湿,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0371316.jpg,,,,,,,,,, +扁穗草,Blysmus compressus,Rosa Camoletto etc.,69,19870521,Toscana,225,terreno sabbioso incolto,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0365525.jpg,,,,,,,,,, +华扁穗草,Blysmus sinocompressus,李晓东,刘帆,张景博,徐凌翔,LiJ0054,20080903,甘肃,3681,河边坡地,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397132.jpg,,,,,,,,,, +华扁穗草,Blysmus sinocompressus,汤宗孝等,572,19930806,四川省,3500,路旁潮湿处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01681795.jpg,,,,,,,,,, +华扁穗草,Blysmus sinocompressus,刘正宇,14436,19940901,重庆市,1960,洞旁阴湿岩壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0020759.jpg,,,,,,,,,, +有尾水筛,Blyxa echinosperma,资源县普查队,450329150908007LY,20150908,广西,509,针叶林,沟边,水中,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0172733.jpg,,,,,,,,,, +有尾水筛,Blyxa echinosperma,泸县组,531,19770914,四川,350,,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM720400001.jpg,,,,,,,,,, +有尾水筛,Blyxa echinosperma,,850103,19850922,浙江省,,田里,草本,,https://image.cvh.ac.cn/files/l/ZM/ZMNH0035070.jpg,,,,,,,,,, +多羽实蕨,Bolbitis angustipinna,周厚高,3045,19910927,广西壮族自治区,900,"常绿阔叶林, 砂岩",,,https://image.cvh.ac.cn/files/l/IBK/IBK00300869.jpg,,,,,,,,,, +多羽实蕨,Bolbitis angustipinna,Faurie ,281,,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01175447.jpg,,,,,,,,,, +多羽实蕨,Bolbitis angustipinna,张宪春等,5522,20081226,海南省,500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01857872.jpg,,,,,,,,,, +,Bolbitis costata,滇西植物调查组,10664,19800514,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01175460.jpg,,,,,,,,,, +紫轴实蕨,Bolbitis costata,况静,70507,20070718,贵州省,1101,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0009310.jpg,,,,,,,,,, +长叶实蕨,Bolbitis heteroclita,魏奇,王凡红,公艳芬,FB-355,20130810,云南,679,,,,https://image.cvh.ac.cn/files/l/KUN/1406116.jpg,,,,,,,,,, +长叶实蕨,Bolbitis heteroclita,,3726,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01770986.jpg,,,,,,,,,, +长叶实蕨,Bolbitis heteroclita,周喜乐、严岳鸿、杜诚,ZXL09816,20141119,碧武里府,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0110408.jpg,,,,,,,,,, +,Bolbitis hookeriana,"S.G.Wu,L.K.Phan etc.",WP-034,20031115,,800~1000,in heavily logged primary closed evergreen seasonal tropical broad-leaved submontane forests on slopes and along stream of granite mountains,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1229696.jpg,,,,,,,,,, +,Bolbitis medogensis,,,,,,,,,,,,,,,,,,, +中华刺蕨,Bolbitis sinensis,"朱鑫鑫, 王君, 林庶",ZXX191874,20191217,云南,1011,亚热带季雨林,林中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1483130.jpg,,,,,,,,,, +中华刺蕨,Bolbitis sinensis,商辉、顾钰峰、舒江平,SG657,20141022,广西,,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0047364.jpg,,,,,,,,,, +中华刺蕨,Bolbitis sinensis,周喜乐、严岳鸿、杜诚,ZXL09858,20141123,清迈,1159,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0110366.jpg,,,,,,,,,, +西藏实蕨,Bolbitis tibetica,青藏队,74-4551,19740826,西藏自治区,800,途中山坡阔叶林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00044763.jpg,,,,,,,,,, +西藏实蕨,Bolbitis tibetica,"高信芬, 张良, 李蒙, 张桥蓉, 亚吉东, 崔光帅",QTP-II08-T05-000405,20171208,,1031,Destroyed area near road,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1484670.jpg,,,,,,,,,, +西藏实蕨,Bolbitis tibetica,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4426,20160912,西藏,749,疏林下,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136664.jpg,,,,,,,,,, +,Bolocephalus saussureoides,"Y.S.Chen,Z.Y.Chang,M.Deng etc.",13-0725,20130808,西藏自治区,,流水岩石坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038004.jpg,,,,,,,,,, +膜叶星蕨,Bosmania membranacea,中植连广西队,945,20080522,广西,300,,,无孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0190865.jpg,,,,,,,,,, +臭根子草,Bothriochloa bladhii,聂敏祥,赖书坤,5582,19581009,江西省,0,路边草坪,,有花无果,https://image.cvh.ac.cn/files/l/KUN/321197.jpg,,,,,,,,,, +臭根子草,Bothriochloa bladhii,路端正,811077,19811208,湖南,200,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00004291.jpg,,,,,,,,,, +臭根子草,Bothriochloa bladhii,曾宪锋,ZXF34756,20171115,福建,57,丘陵、路旁,多年生直立草本,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0030038.jpg,,,,,,,,,, +孔颖臭根子草,Bothriochloa bladhii var. punctata,辛景山,719,19570907,云南,1100,路旁 林边 荒田中,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0205497.jpg,,,,,,,,,, +,Bothriochloa bladhii var. punctata,西南综考队接壤分队,704,19650908,四川省,2000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246467.jpg,,,,,,,,,, +,Bothriochloa bladhii var. punctata,孙航等,304,19841118,云南省,900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/321117.jpg,,,,,,,,,, +白羊草,Bothriochloa ischaemum,刘守炉,19,19560000,云南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00515831.jpg,,,,,,,,,, +,Bothriochloa ischaemum,王文中,201,19550816,山西省,,山坡 (南),,有花无果,https://image.cvh.ac.cn/files/l/PE/01606509.jpg,,,,,,,,,, +白羊草,Bothriochloa ischaemum,F. A. McClure,3358,1926-10-,安徽; Anhui,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00003660.jpg,,,,,,,,,, +小阴地蕨,Botrychium lunaria,傅沛云,2377,19630704,科尔沁右翼前旗,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/130711.jpg,,,,,,,,,, +扇羽阴地蕨,Botrychium lunaria,刘正宇,760091,19760812,重庆市,2620,山地林缘草丛中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0001062.jpg,,,,,,,,,, +,Botrychium lunaria,Wu et Yang,37079,19360712,河北,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0028306.jpg,,,,,,,,,, +,Botrypus virginianus,姚淦,2377,19591030,西藏自治区,3300,云杉林下阴处,蕨,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00004421.jpg,,,,,,,,,, +一朵云,Botrypus virginianus,陈彦生、吴振海、黎斌、孙建钊,2430,2005/6/11,陕西省,1800,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0492738.jpg,,,,,,,,,, +蕨箕,Botrypus virginianus,刘正宇,540895,19540921,重庆市,1600,方竹林缘草丛中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0001055.jpg,,,,,,,,,, +,Brachiaria distachya,"王伯乐,张超常等",76,19630807,广东省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/019119354.jpg,,,,,,,,,, +臂形草,Brachiaria eruciformis,刘艳春,806,20111018,贵州,672,山坡草丛,草本,,https://image.cvh.ac.cn/files/l/KUN/1400213.jpg,,,,,,,,,, +臂形草,Brachiaria eruciformis,彭华,陈志辉等,131027,20131026,云南省 ,882,Roadside,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1228630.jpg,,,,,,,,,, +臂形草,Brachiaria eruciformis,汤宗孝,1963,19830915,四川省,1500,山坡 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01607112.jpg,,,,,,,,,, +毛臂形草,Brachiaria villosa,,734,19650912,四川省,2500,撩荒地水湿条件好,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929962.jpg,,,,,,,,,, +毛臂形草,Brachiaria villosa,,58,,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00285620.jpg,,,,,,,,,, +毛臂形草,Brachiaria villosa,"朱鑫鑫, 王君, 林庶, 梁俊生, 方东升",ZXX19792,20190715,湖北,61,亚热带针阔混交林,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486400.jpg,,,,,,,,,, +,Brachycorythis iantha,,,,,,,,,,,,,,,,,,, +,Brachycorythis obcordata,,,,,,,,,,,,,,,,,,, +二穗短柄草,Brachypodium distachyon,R.C.Barneby等,29502,16540512,,579,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00560889.jpg,,,,,,,,,, +,Brachypodium pinnatum,关庆如,38,19650818,内蒙古自治区,,白桦林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00038322.jpg,,,,,,,,,, +,Brachypodium pinnatum,关克俭,3247,19570811,新疆维吾尔自治区,,山间盆地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00039405.jpg,,,,,,,,,, +,Brachypodium pinnatum,山西队,728,19530902,山西省,1900~2000,山坡疏林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00038327.jpg,,,,,,,,,, +草地短柄草,Brachypodium pratense,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00038377.jpg,,,,,,,,,, +草地短柄草,Brachypodium pratense,赖书绅,4132,19650613,江西省,1500,,,有花有果,https://image.cvh.ac.cn/files/l/LBG/00033757.jpg,,,,,,,,,, +草地短柄草,Brachypodium pratense,李盛兰,GanQL552,20130817,湖北,1865,高山草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1447516.jpg,,,,,,,,,, +,Brachypodium retusum,,,,,,,,,,,,,,,,,,, +短柄草,Brachypodium sylvaticum,蔡杰,张挺,刘成等,10CS2346,20100917,陕西,1207,山坡林缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400275.jpg,,,,,,,,,, +短柄草,Brachypodium sylvaticum,J.F.Rock,10446,1923,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00016149.jpg,,,,,,,,,, +短柄草,Brachypodium sylvaticum,"简名玮,崔祖锡,梁慧舟",83,20030813,台湾省,1390,"Grassland,on mountain slope",,有花无果,https://image.cvh.ac.cn/files/l/PE/02089744.jpg,,,,,,,,,, +,Briggsia aurantiaca,,,,,,,,,,,,,,,,,,, +凌风草,Briza media,谭策铭,张红丽,吴红英,9605125,19960521,江西省,30,山脚河边滩地,,无花有果,https://image.cvh.ac.cn/files/l/JJF/00024370.jpg,,,,,,,,,, +凌风草,Briza media,王明川,WNX0869,20140526,贵州,,水旁、路旁、草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0003048.jpg,,,,,,,,,, +凌风草,Briza media,青藏队植被组,5373,19750716,西藏自治区,3600,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076176.jpg,,,,,,,,,, +光稃雀麦,Bromus epilis,T. P.Wang,5567,1936/8/4,,3000,,grass,无花无果,https://image.cvh.ac.cn/files/l/WUK/0025554.jpg,,,,,,,,,, +光稃雀麦,Bromus epilis,J.F.Rock,6930,19221005,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00070097.jpg,,,,,,,,,, +光稃雀麦,Bromus epilis,张昌兵,SGAZ0245,20081027,四川,3267,山脚路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400287.jpg,,,,,,,,,, +直立雀麦,Bromus erectus,凌萍萍,,19660428,江苏省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00516094.jpg,,,,,,,,,, +,Bromus erectus,刘学忠,102,19550628,北京,,草地 平原 栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826830.jpg,,,,,,,,,, +,Bromus erectus,中日考察队,7851,19900623,西藏自治区,4600,河谷平原,,无花无果,https://image.cvh.ac.cn/files/l/PE/00038109.jpg,,,,,,,,,, +,Bromus gracillimus,青藏队植被组,12890,19760629,西藏自治区,3500,河谷坡麓,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077011.jpg,,,,,,,,,, +,Bromus gracillimus,西植新疆队,866,19780702,新疆维吾尔自治区,3250,山坡 ,,无花无果,https://image.cvh.ac.cn/files/l/PE/00038227.jpg,,,,,,,,,, +,Bromus gracillimus,F.Ballard等,68,19320726,,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/000051070.jpg,,,,,,,,,, +,Bromus himalaicus,T.N.Ho (HNWP) et al.,2403,19960827,青海省,3600,Growing under Picea,,有花有果,https://image.cvh.ac.cn/files/l/PE/00486048.jpg,,,,,,,,,, +喜马拉雅雀麦,Bromus himalaicus,张昌兵,邓秀华,ZhangCB0313,20091028,四川,3764,山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400288.jpg,,,,,,,,,, +喜马拉雅雀麦,Bromus himalaicus,J.F.Rock,5930,22-May,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00016090.jpg,,,,,,,,,, +毛雀麦,Bromus hordeaceus,彭玉兰、余奇、李林霖,THP-KD-1573,20170620,四川,3768~4150,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244729.jpg,,,,,,,,,, +,Bromus hordeaceus,,10673,19590716,新疆维吾尔自治区,,山谷河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00486046.jpg,,,,,,,,,, +,Bromus hordeaceus,青藏队,76-7876,19760627,西藏自治区,4100,河滩农田中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00038244.jpg,,,,,,,,,, +雀麦,Bromus japonicus,路端正,20040510,20040510,北京市,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00004358.jpg,,,,,,,,,, +雀麦,Bromus japonicus,杨人俊,57084,,江苏省南京市,,,,有花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF007268.jpg,,,,,,,,,, +雀麦,Bromus japonicus,周洪富,22596,1957-06-,四川省,3400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0102310.jpg,,,,,,,,,, +大雀麦,Bromus magnus,W.Y.Hsia,8312,,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00486353.jpg,,,,,,,,,, +大雀麦,Bromus magnus,崔友文,5211,19510808,西藏自治区,,河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00038274.jpg,,,,,,,,,, +大雀麦,Bromus magnus,傅德志,871286,19870722,四川省,650,山坡草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929992.jpg,,,,,,,,,, +梅氏雀麦,Bromus mairei,H.T.Tsai,58187,1934/8/26,,4000,,herb,无花无果,https://image.cvh.ac.cn/files/l/WUK/0039162.jpg,,,,,,,,,, +梅氏雀麦,Bromus mairei,T.N.Ho (HNWP) et al.,2267,19960824,青海省,3550~3650,growing in semi shaded moist earth bank near stream,,有花有果,https://image.cvh.ac.cn/files/l/PE/00486376.jpg,,,,,,,,,, +东川雀麦,Bromus mairei,李永亮等,YDDXS0632,20101111,云南,3370,苔藓矮林,寒温竹灌木林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400332.jpg,,,,,,,,,, +多节雀麦,Bromus plurinodis,连钝,,,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/019106032.jpg,,,,,,,,,, +多节雀麦,Bromus plurinodis,郭淑青、杜品,LiuJQ-GN-079,20120919,甘肃省,0~2909,草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0284781.jpg,,,,,,,,,, +多节雀麦,Bromus plurinodis,陈彦生、吴振海、黎斌、孙建钊等,2984,2005/6/22,陕西省,2140,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0490953.jpg,,,,,,,,,, +,Bromus porphyranthos,C.S.Liu,1341,19340824,四川省,4000,mt.slope grassy place,,无花有果,https://image.cvh.ac.cn/files/l/PE/00038296.jpg,,,,,,,,,, +假枝雀麦,Bromus pseudoramosus,J.F.Rock,10643,19230000,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00070098.jpg,,,,,,,,,, +假枝雀麦,Bromus pseudoramosus,资源室,739,19790913,贵州,,路边地坎,,有花有果,https://image.cvh.ac.cn/files/l/FGC/FGC0000960.jpg,,,,,,,,,, +假枝雀麦,Bromus pseudoramosus,贾慎修,2573,19510907,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00486473.jpg,,,,,,,,,, +,Bromus ramosus,H.J.Conert,s.n.,19800716,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088895.jpg,,,,,,,,,, +,Bromus ramosus,青藏队,74-2171,19740910,西藏自治区,2900,灌丛中 ,,无花无果,https://image.cvh.ac.cn/files/l/PE/00038303.jpg,,,,,,,,,, +,Bromus ramosus,H.T.Tsai,57693,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00038299.jpg,,,,,,,,,, +疏花雀麦,Bromus remotiflorus,刘艳春,704,20110927,湖南,1698,路边草丛,草本,,https://image.cvh.ac.cn/files/l/KUN/1400355.jpg,,,,,,,,,, +疏花雀麦,Bromus remotiflorus,,605,705,陕西省,1000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01573622.jpg,,,,,,,,,, +疏花雀麦,Bromus remotiflorus,王映明,4799,19880706,湖北省,1260,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01320976.jpg,,,,,,,,,, +华雀麦,Bromus sinensis,张昌兵,SGAN0199,20081017,四川,3540,宽谷山麓草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400367.jpg,,,,,,,,,, +华雀麦,Bromus sinensis,刘尚武,434,19650818,青海省,4000,石岩下 柏林中空地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076577.jpg,,,,,,,,,, +华雀麦,Bromus sinensis,刘坤,LiuJQ-GN-2011-355,20110922,甘肃,3467,高寒草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400370.jpg,,,,,,,,,, +,Bromus sinensis var. minor,,322,19640710,青海省,3800,山地 明坡 河边 阳处和稍阴,,有花有果,https://image.cvh.ac.cn/files/l/PE/01400634.jpg,,,,,,,,,, +,Bromus sinensis var. minor,青藏队植被组,9176,19760720,西藏自治区,3800,阳坡柏木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01400633.jpg,,,,,,,,,, +小华雀麦,Bromus sinensis var. minor,朱鑫鑫;王君;王美华,ZXX201864,20200817,西藏,4393,荒坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1552410.jpg,,,,,,,,,, +,Bromus staintonii,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-141-B34,20190823,西藏,3403,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262102.jpg,,,,,,,,,, +,Bromus staintonii,"Rock, J.F.",10643,1923,,,,,,https://image.cvh.ac.cn/files/l/E/E00393719.jpg,,,,,,,,,, +,Bromus staintonii,Liu Yanchun,532,20101017,云南省,3210,on slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089490.jpg,,,,,,,,,, +旱雀麦,Bromus tectorum,Wang Yun,350,20100816,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088441.jpg,,,,,,,,,, +旱雀麦,Bromus tectorum,Loy R.Phillippe & John E.Ebinger,41699,20090624,,175,disturbed open sand prairie along sand road,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089062.jpg,,,,,,,,,, +旱雀麦,Bromus tectorum,彭辅松,688,19590523,湖北省,,,,有花有果,https://image.cvh.ac.cn/files/l/HIB/0202260.jpg,,,,,,,,,, +绢雀麦,Bromus tectorum subsp. lucidus,刘全儒,QH2014375,20140709,青海省,4320,山坡路边,草本,有花有果,https://image.cvh.ac.cn/files/l/BNU/0031722.jpg,,,,,,,,,, +绢雀麦,Bromus tectorum subsp. lucidus,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20577,20200621,西藏,3649,湿地边,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505492.jpg,,,,,,,,,, +,Buddleja agathosma,郭辉军,Guo2116,19880903,云南省,2700,草坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1267185.jpg,,,,,,,,,, +,Buddleja agathosma,G. Forrest,20143,21-May,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00075796.jpg,,,,,,,,,, +昆明醉鱼草,Buddleja agathosma,四川药源普查队,22236,19600720,四川省,2840,,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00078271.jpg,,,,,,,,,, +紫花醉鱼草,Buddleja fallowiana,J.G.Jack,7642,19300207,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0469011.jpg,,,,,,,,,, +紫花醉鱼草,Buddleja fallowiana,,3999,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0469009.jpg,,,,,,,,,, +,Buddleja fallowiana,胡君、王东超、李丽、唐露,SC-a-040-B03,20180708,四川,,高山栎群落中,落叶灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609887.jpg,,,,,,,,,, +,Buddleja hookeri,,,,,,,,,,,,,,,,,,, +小叶醉鱼草,Buddleja minima,洮河队,3121,19570526,甘肃省,,,灌木直立,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00079384.jpg,,,,,,,,,, +,Buddleja minima,任宪威,790141,19790500,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00016894.jpg,,,,,,,,,, +小叶醉鱼草,Buddleja minima,任宪威,790141,19790500,西藏,3100,,,,https://image.cvh.ac.cn/files/l/BJFC/00016889.jpg,,,,,,,,,, +,Buddleja tsetangensis,青藏队草原组,6821,19750528,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061312.jpg,,,,,,,,,, +,Buddleja tsetangensis,F. Kingdon-Ward,316,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00263007.jpg,,,,,,,,,, +,Buddleja wardii,T.Naito et al. ,1406,19860526,西藏自治区,3550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01324855.jpg,,,,,,,,,, +互对醉鱼草,Buddleja wardii,杨光辉,65653,19581031,四川省,600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0469738.jpg,,,,,,,,,, +高山醉鱼草,Buddleja wardii,路端正,,20010820,西藏,3700,,,,https://image.cvh.ac.cn/files/l/BJFC/00016929.jpg,,,,,,,,,, +,Bulbophyllum acutiflorum,,,,,,,,,,,,,,,,,,, +赤唇石豆兰,Bulbophyllum affine,,1577,,,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00144790.jpg,,,,,,,,,, +赤唇石豆兰,Bulbophyllum affine,HK kadoorie PT,3011,20000300,海南省,250,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109497.jpg,,,,,,,,,, +赤唇石豆兰,Bulbophyllum affine,黄志,33653,19330812,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00144794.jpg,,,,,,,,,, +,Bulbophyllum amplifolium,"Forrest, George",970,5-Nov,,,,,,https://image.cvh.ac.cn/files/l/E/E00383593.jpg,,,,,,,,,, +,Bulbophyllum amplifolium,俞德俊,22986,19381116,云南省,1700,"Side of stream, unpon rock surface",,有花无果,https://image.cvh.ac.cn/files/l/PE/00201369.jpg,,,,,,,,,, +大叶卷瓣兰,Bulbophyllum amplifolium,李中提,601803,19581026,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00144798.jpg,,,,,,,,,, +,Bulbophyllum andersonii,黄江华,10,20000831,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033703.jpg,,,,,,,,,, +,Bulbophyllum andersonii,北京队,4074,19880827,湖南省,,岩壁上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01340602.jpg,,,,,,,,,, +梳帽卷瓣兰,Bulbophyllum andersonii,王启无,74739,19360600,云南省 ,0~1000,,Adnate,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0624147.jpg,,,,,,,,,, +,Bulbophyllum apodum,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00201416.jpg,,,,,,,,,, +,Bulbophyllum apodum,"魏志丹, 上官法智, 孙绪伟, 肖波, 王妍",Yezi476,20180713,云南,1022,山坡林地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1495259.jpg,,,,,,,,,, +,Bulbophyllum arunachalense,,,,,,,,,,,,,,,,,,, +,Bulbophyllum basiflorum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum bisetum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum bomiense,,,,,,,,,,,,,,,,,,, +短序石豆兰,Bulbophyllum brevispicatum,张维柱,39,19890225,云南省,870,石灰山,林中树干上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00851383.jpg,,,,,,,,,, +短序石豆兰,Bulbophyllum brevispicatum,朱意麟、严枫、滕建北、杨明灿、甘日呈、陈思任,450481141201012LY,20141201,广西壮族自治区,267,阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0146690.jpg,,,,,,,,,, +,Bulbophyllum brienianum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum capillipes,,,,,,,,,,,,,,,,,,, +,Bulbophyllum cariniflorum,South Tibet Exp.Team (Jin Xiaohua etc.),STET1867,20100801,西藏自治区,1600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033294.jpg,,,,,,,,,, +,Bulbophyllum caudatum,青藏队,74-4369,19740819,西藏自治区,850,山坡常绿阔叶林内树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00805342.jpg,,,,,,,,,, +尾萼卷瓣兰,Bulbophyllum caudatum,江城县普查队,5308260070,20120420,云南省,854,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0024843.jpg,,,,,,,,,, +,Bulbophyllum cauliflorum,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T211,20160915,西藏自治区,1524,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233104.jpg,,,,,,,,,, +,Bulbophyllum cauliflorum,"税玉民,陈文红,盛家舒",31732,20021013,云南省,,石灰山常绿阔叶林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033305.jpg,,,,,,,,,, +,Bulbophyllum cauliflorum,,51486,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00201725.jpg,,,,,,,,,, +,Bulbophyllum cornu-cervi,,,,,,,,,,,,,,,,,,, +,Bulbophyllum crassipes,吉占和,161,19830403,云南省,1500,附生于树干上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850433.jpg,,,,,,,,,, +,Bulbophyllum cupreum,,,,,,,,,,,,,,,,,,, +长苞石豆兰,Bulbophyllum cylindraceum,Xiaohua Jin,9402,20081010,云南省,,forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033284.jpg,,,,,,,,,, +大苞石豆兰,Bulbophyllum cylindraceum,M.K.Li,2649,1939/12/24,云南,2400,,herb,无花无果,https://image.cvh.ac.cn/files/l/WUK/0274173.jpg,,,,,,,,,, +大苞石豆兰,Bulbophyllum cylindraceum,金效华,李剑武,王喜龙,王程旺,19024,20171107,西藏,2500,半常绿阔叶林,附生植物,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030502.jpg,,,,,,,,,, +,Bulbophyllum deergongense,,,,,,,,,,,,,,,,,,, +,Bulbophyllum delitescens,曾怀德,350,19270805,海南省,,斜坡向北,野生密林中,密荫,干燥,中等土,,有花无果,https://image.cvh.ac.cn/files/l/PE/00201457.jpg,,,,,,,,,, +直唇卷瓣兰,Bulbophyllum delitescens,梁向日,65345,19340226,海南省 ,0,,兰,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0624160.jpg,,,,,,,,,, +直唇卷瓣兰,Bulbophyllum delitescens,张寿洲、王亚玲、巫锡良等,Y0042,20091020,贵州省,,山谷,草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00120422.jpg,,,,,,,,,, +,Bulbophyllum depressum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum elatum,青藏队植被组,3853,19750608,西藏自治区,2500,2500,,无花无果,https://image.cvh.ac.cn/files/l/PE/01485535.jpg,,,,,,,,,, +匍茎卷瓣兰,Bulbophyllum emarginatum,刘成、何华杰、黄莉、黄孝舸,14CS8585,20141112,云南,1707,旱冬瓜、金叶子次生林,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1393590.jpg,,,,,,,,,, +,Bulbophyllum emarginatum,藏东南考察队 金效华等,SET-ET589,20090822,西藏自治区,2122,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033665.jpg,,,,,,,,,, +,Bulbophyllum emarginatum,,51514,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00271209.jpg,,,,,,,,,, +,Bulbophyllum eublepharum,Xiaohua Jin,9356,20080724,云南省,1700,forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033654.jpg,,,,,,,,,, +,Bulbophyllum eublepharum,"李渤生,程树志等",970,19820917,西藏自治区,,常绿阔叶林中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01376743.jpg,,,,,,,,,, +,Bulbophyllum eublepharum,金效华,9239,20071206,云南,1484,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825046.jpg,,,,,,,,,, +,Bulbophyllum fischeri,,,,,,,,,,,,,,,,,,, +,Bulbophyllum forrestii,Jin Xiaohua,13072,20120707,云南省,900,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033299.jpg,,,,,,,,,, +,Bulbophyllum forrestii,,51513,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00271206.jpg,,,,,,,,,, +尖角卷瓣兰,Bulbophyllum forrestii,李剑武,1714,20120901,云南,1600,针阔混交林中树上附生,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027757.jpg,,,,,,,,,, +,Bulbophyllum gamblei,,51490,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00201502.jpg,,,,,,,,,, +,Bulbophyllum gedangense,,,,,,,,,,,,,,,,,,, +,Bulbophyllum griffithii,李鸣冈,1736,19390000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01526118.jpg,,,,,,,,,, +,Bulbophyllum griffithii,"Henry, Augustine",13609,,,,,,,https://image.cvh.ac.cn/files/l/E/E00157489.jpg,,,,,,,,,, +,Bulbophyllum guttulatum,"in Xiaohua, Zhang Shudong, LiZhongyang etc.",STET2568,20100811,西藏自治区,1100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033683.jpg,,,,,,,,,, +,Bulbophyllum guttulatum,金效华,10880,20110425,云南省,2400,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033655.jpg,,,,,,,,,, +,Bulbophyllum guttulatum,,Q3,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01485481.jpg,,,,,,,,,, +,Bulbophyllum gymnopus,金效华,s.n.,20050108,云南省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825047.jpg,,,,,,,,,, +,Bulbophyllum gymnopus,,51492,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00201514.jpg,,,,,,,,,, +线瓣石豆兰,Bulbophyllum gymnopus,李剑武,4589,20161220,云南,900,石灰山,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029066.jpg,,,,,,,,,, +角萼卷瓣兰,Bulbophyllum helenae,李剑武,4420,20150916,云南,1200,石灰山,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028956.jpg,,,,,,,,,, +角萼卷瓣兰,Bulbophyllum helenae,Xiaohua Jin,9372,20080828,云南省,1300,forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033286.jpg,,,,,,,,,, +角萼卷瓣兰,Bulbophyllum helenae,G.Forrest,8130,19250000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0624195.jpg,,,,,,,,,, +,Bulbophyllum hirtum,金效华,10172,20091010,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033660.jpg,,,,,,,,,, +落叶石豆兰,Bulbophyllum hirtum,"刘成, 亚吉东",18CS17195,20181114,西藏,771,林缘树上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486742.jpg,,,,,,,,,, +,Bulbophyllum hymenanthum,,51493,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00201531.jpg,,,,,,,,,, +,Bulbophyllum jainii,,,,,,,,,,,,,,,,,,, +,Bulbophyllum khasyanum,金效华,9257,20071210,云南省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825051.jpg,,,,,,,,,, +卷苞石豆兰,Bulbophyllum khasyanum,李剑武,2750,20121029,云南,1800,山地雨林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028260.jpg,,,,,,,,,, +,Bulbophyllum kingii,,51494,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00201571.jpg,,,,,,,,,, +,Bulbophyllum leopardinum,,,,,,,,,,,,,,,,,,, +齿瓣石豆兰,Bulbophyllum levinei,章绍尧,5553,19590606,浙江省,,山坡,北向,岩上,林下阴,,无花有果,https://image.cvh.ac.cn/files/l/PE/00201707.jpg,,,,,,,,,, +齿瓣石豆兰,Bulbophyllum levinei,李泽贤、邢福武,4020,19880427,海南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0624255.jpg,,,,,,,,,, +齿瓣石豆兰,Bulbophyllum levinei,"刘成, 亚吉东",18CS17288,20181125,西藏,1750,次生林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487426.jpg,,,,,,,,,, +,Bulbophyllum lingii,,,,,,,,,,,,,,,,,,, +,Bulbophyllum linzhiense,,,,,,,,,,,,,,,,,,, +,Bulbophyllum lobbii,孙洪范,7937,19300000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00201585.jpg,,,,,,,,,, +,Bulbophyllum longiflorum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum macraei,,,,台湾省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00201593.jpg,,,,,,,,,, +勐仑石豆兰,Bulbophyllum menglunense,吉占和,91-65,19910515,云南省,650,林中 树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01594202.jpg,,,,,,,,,, +勐仑石豆兰,Bulbophyllum menglunense,李剑武,4491,20160112,云南,800,热带雨林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028999.jpg,,,,,,,,,, +,Bulbophyllum muscicola,,,,,,,,,,,,,,,,,,, +,Bulbophyllum nasutum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum nodosum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum nujiangense,,,,,,,,,,,,,,,,,,, +密花石豆兰,Bulbophyllum odoratissimum,N.K.Chun,40879,19300505,广东,,石头上,草本,有花无果,https://image.cvh.ac.cn/files/l/SN/SN002663.jpg,,,,,,,,,, +密花石豆兰,Bulbophyllum odoratissimum,W. Hancock F.L.S.,586,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00026504.jpg,,,,,,,,,, +密花石豆兰,Bulbophyllum odoratissimum,刘正宇,10972,19780918,重庆市,750,向阳岩壁上,草本,有花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0013207.jpg,,,,,,,,,, +,Bulbophyllum ornatissimum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum parviflorum,李剑武,1518,20111128,云南,780,树上附生,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028122.jpg,,,,,,,,,, +,Bulbophyllum penicillium,,,,,,,,,,,,,,,,,,, +,Bulbophyllum pentaneurum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum pilopetalum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum piluliferum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum polyrrhizum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum protractum,Kai Larsen,46179,19950907,,0~600,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0624305.jpg,,,,,,,,,, +,Bulbophyllum protractum,李剑武,1646,20120721,云南,680,沟谷密林,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027725.jpg,,,,,,,,,, +,Bulbophyllum pteroglossum,张维柱,148,19891113,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00850686.jpg,,,,,,,,,, +曲萼石豆兰,Bulbophyllum pteroglossum,A. Henry,15959,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00026502.jpg,,,,,,,,,, +曲萼石豆兰,Bulbophyllum pteroglossum,李剑武,4472,20151102,云南,1200,常绿阔叶林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028988.jpg,,,,,,,,,, +,Bulbophyllum purpureofuscum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum reflexipetalum,,,,,,,,,,,,,,,,,,, +球花石豆兰,Bulbophyllum repens,金效华,李剑武,王喜龙,王程旺,19322,20171116,西藏,1451,半常绿阔叶林,附生植物,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030535.jpg,,,,,,,,,, +伏生石豆兰,Bulbophyllum reptans,"王金亭,武田义明",263,19860429,西藏自治区,2150,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01446525.jpg,,,,,,,,,, +伏生石豆兰,Bulbophyllum reptans,刘正宇,7325,19850215,重庆市,1100,附生岩石上,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0013204.jpg,,,,,,,,,, +伏生石豆兰,Bulbophyllum reptans,Luo Yi-bo,485,20000810,云南省,2200,路旁苔藓丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033670.jpg,,,,,,,,,, +藓叶卷瓣兰,Bulbophyllum retusiusculum,Tsang and Fung,18097,19290724,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0624367.jpg,,,,,,,,,, +,Bulbophyllum retusiusculum,金效华,415,20000821,贵州,1450,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820782.jpg,,,,,,,,,, +藓叶卷瓣兰,Bulbophyllum retusiusculum,刘成,字海荣,高歌,赵金超,13CS6616,20130831,云南,1516,路边潮湿处,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1393600.jpg,,,,,,,,,, +,Bulbophyllum retusum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum rigidum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum rolfei,X.H.Jin,7950,20050903,云南省,1970,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855746.jpg,,,,,,,,,, +,Bulbophyllum rolfei,金效华,8405,20060826,云南,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825060.jpg,,,,,,,,,, +若氏卷瓣兰,Bulbophyllum rolfei,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201525,20200806,西藏,2302,林下树上,附生植物,无花无果,https://image.cvh.ac.cn/files/l/KUN/1509159.jpg,,,,,,,,,, +,Bulbophyllum roxburghii,,,,,,,,,,,,,,,,,,, +,Bulbophyllum sarcophylloides,,,,,,,,,,,,,,,,,,, +,Bulbophyllum sarcophyllum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum scabratum,,,,,,,,,,,,,,,,,,, +,Bulbophyllum secundum,,51500,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00201846.jpg,,,,,,,,,, +棒唇石豆兰,Bulbophyllum secundum,李延辉,1192,19590417,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/050787.jpg,,,,,,,,,, +少花石豆兰,Bulbophyllum secundum,韩周东,HZD20097,20200929,云南,2261,中山湿性常绿阔叶林,附生植物,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507818.jpg,,,,,,,,,, +,Bulbophyllum shweliense,"Forrest, George",18398,19-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00123396.jpg,,,,,,,,,, +伞花石豆兰,Bulbophyllum shweliense,S.K.Lau,25127,19351110,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00201865.jpg,,,,,,,,,, +伞花石豆兰,Bulbophyllum shweliense,中苏队,3930,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0624338.jpg,,,,,,,,,, +,Bulbophyllum spathulatum,HK kadoorie PT,s.n.,20030300,海南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866617.jpg,,,,,,,,,, +,Bulbophyllum spathulatum,金效华,8693,20061102,云南省,1100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825069.jpg,,,,,,,,,, +匙萼卷瓣兰,Bulbophyllum spathulatum,李剑武,4351,20150401,云南,900,沟谷雨林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028910.jpg,,,,,,,,,, +,Bulbophyllum stenobulbon,,40722,,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00201904.jpg,,,,,,,,,, +,Bulbophyllum stenobulbon,云南考察队(金效华等),YN-ET3,20090623,云南省,1980,树上附生,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033658.jpg,,,,,,,,,, +,Bulbophyllum stenobulbon,金效华,396,20000815,贵州,1100,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820784.jpg,,,,,,,,,, +,Bulbophyllum sterile,,,,,,,,,,,,,,,,,,, +,Bulbophyllum stocksii,,,,,,,,,,,,,,,,,,, +,Bulbophyllum striatum,金效华,8677,20061024,云南省,2281,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825070.jpg,,,,,,,,,, +细柄石豆兰,Bulbophyllum striatum,"刘成, 亚吉东",18CS17293,20181126,西藏,1733,常绿阔叶林林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487443.jpg,,,,,,,,,, +,Bulbophyllum striatum,金效华,8677,20061024,云南,2281,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825070.jpg,,,,,,,,,, +虎斑卷瓣兰,Bulbophyllum tigridum,李剑武,1517,20111128,云南,780,树上附生,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027669.jpg,,,,,,,,,, +,Bulbophyllum tortuosum,孙洪范,7977,19300000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00201884.jpg,,,,,,,,,, +,Bulbophyllum triste,张维柱,35,19890219,云南省,1200,林内附生树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01594163.jpg,,,,,,,,,, +,Bulbophyllum trongsaense,,,,,,,,,,,,,,,,,,, +,Bulbophyllum umbellatum,金效华,8004,20051001,云南省,1175,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109496.jpg,,,,,,,,,, +,Bulbophyllum umbellatum,"D.K.Harder,N.T.Hiep,L.V.Averyanov etc.",4967,20000403,,1100,"degraded forest along slope and along ridge,limestone substrate and exposed outcrop",,有花无果,https://image.cvh.ac.cn/files/l/PE/02033402.jpg,,,,,,,,,, +伞花卷瓣兰,Bulbophyllum umbellatum,金效华,X.H.Jin9188,20070810,云南,1702,林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393603.jpg,,,,,,,,,, +,Bulbophyllum virens,,,,,,,,,,,,,,,,,,, +双叶卷瓣兰,Bulbophyllum wallichii,李中提,604074,19591009,广西壮族自治区,0,,匍匐草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0624341.jpg,,,,,,,,,, +双叶卷瓣兰,Bulbophyllum wallichii,曲桂龄,3973,19361007,四川省,0~1700,,herbs,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0624339.jpg,,,,,,,,,, +双叶卷瓣兰,Bulbophyllum wallichii,张海道,A595,19560721,海南省 ,0~920,,附生草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0624345.jpg,,,,,,,,,, +,Bulbophyllum yarlungzangboense,,,,,,,,,,,,,,,,,,, +丝叶球柱草,Bulbostylis densa,巴山采集队,2720,20080728,重庆市,1527,山坡草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01860654.jpg,,,,,,,,,, +丝叶球柱草,Bulbostylis densa,聂敏祥,7813,19630905,江西省,1030,路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01860432.jpg,,,,,,,,,, +丝叶球柱草,Bulbostylis densa,P.T.H.,10,19320817,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01860347.jpg,,,,,,,,,, +蜂腰兰,Bulleyia yunnanensis,王启无,67922,19350700,云南省 ,0~2500,,Herbs,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0624385.jpg,,,,,,,,,, +,Bulleyia yunnanensis,"Forrest, George",4879,1906,,,,,,https://image.cvh.ac.cn/files/l/E/E00111866.jpg,,,,,,,,,, +云南蜂腰兰,Bulleyia yunnanensis,金效华,298,20000800,贵州,1300,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810904.jpg,,,,,,,,,, +翅果柴胡,Bupleurum alatum,西藏中草药普查队,1770,19720904,西藏自治区,3900,山麓,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491170.jpg,,,,,,,,,, +翅果柴胡,Bupleurum alatum,魏来、何毅,BNUXZ2016111,20150717,西藏,3850,山坡灌草丛,,,https://image.cvh.ac.cn/files/l/BNU/0028088.jpg,,,,,,,,,, +柴首,Bupleurum chaishoui,袁昌齐,王年鹤,92043,19650622,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00043029.jpg,,,,,,,,,, +紫花鸭跖柴胡,Bupleurum commelynoideum,T.T.Yu,7545,19370802,云南省 ,2800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0437467.jpg,,,,,,,,,, +紫花鸭跖柴胡,Bupleurum commelynoideum,,2170,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01630912.jpg,,,,,,,,,, +紫花鸭跖柴胡,Bupleurum commelynoideum,张娆挺,徐福昌等,131,19580712,青海省,2600,阳坡,草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0460764.jpg,,,,,,,,,, +蔟生柴胡,Bupleurum condensatum,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",629,19930731,青海省,3500,"River valley with narrow terrace with short turf along river and steep slopes with rock outcrops.side of valley wuth steep slope,mostly dry with tussock grass and bare soil,shallower slopes.On slopes ",,有花无果,https://image.cvh.ac.cn/files/l/PE/00617345.jpg,,,,,,,,,, +簇生柴胡,Bupleurum condensatum,吴珍兰,101,1966/6/29,青海,3250,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0290514.jpg,,,,,,,,,, +马尔康柴胡,Bupleurum malconense,黄河队,5112,19560630,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00617697.jpg,,,,,,,,,, +马尔康柴胡,Bupleurum malconense,刘心源,15284,1959/8/8,山西,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0321237.jpg,,,,,,,,,, +马尔康柴胡,Bupleurum malconense,D.E.Boufford et al.,33480,20080724,四川省,3385,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923356.jpg,,,,,,,,,, +有柄柴胡,Bupleurum petiolulatum,B.Bartholomew et al.,564,19800902,湖北省,1200~1400,Road side thicket,,有花有果,https://image.cvh.ac.cn/files/l/PE/01020643.jpg,,,,,,,,,, +有柄柴胡,Bupleurum petiolulatum,H.T.Tsai,53801,19330726,云南省 ,3000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0437626.jpg,,,,,,,,,, +有柄柴胡,Bupleurum petiolulatum,苏贵兴,332,1958/10/8,陕西,1730,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0413567.jpg,,,,,,,,,, +,Bupleurum qinghaiense,675,186088,19860830,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00018019.jpg,,,,,,,,,, +青海柴胡,Bupleurum qinghaiense,郭先林、许新锐,2036969,20200716,四川,4654,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02036969.jpg,,,,,,,,,, +丽江柴胡,Bupleurum rockii,,20080,,四川,,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715000894.jpg,,,,,,,,,, +丽江柴胡,Bupleurum rockii,杨光辉,66384,1958/8/15,重庆市,2000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0302327.jpg,,,,,,,,,, +丽江柴胡,Bupleurum rockii,青藏队植被组,2245,19740806,西藏自治区,2950,西南坡 针阔林下田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538222.jpg,,,,,,,,,, +汶川柴胡,Bupleurum wenchuanense,M.G.Pimenov et al.,95,19980912,四川省,1300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00724175.jpg,,,,,,,,,, +汶川柴胡,Bupleurum wenchuanense,张志英,10193,1959/7/28,甘肃,1820,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0145778.jpg,,,,,,,,,, +汶川柴胡,Bupleurum wenchuanense,宋滋圃,39255,1954/7/27,四川,2175,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0175618.jpg,,,,,,,,,, +云南柴胡,Bupleurum yunnanense,T.T.Yü,7545,19370802,四川省,2800,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00724199.jpg,,,,,,,,,, +,Bupleurum yunnanense,J. M. Delavay,3066,1887-7-19,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00075430.jpg,,,,,,,,,, +云南柴胡,Bupleurum yunnanense,E.E.Malre,416,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0437729.jpg,,,,,,,,,, +皱叶黄杨,Buxus rugulosa,Wang Tso Pin,11793,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00045448.jpg,,,,,,,,,, +皱叶黄杨,Buxus rugulosa,W.Y.Chun,3944,19220000,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00044252.jpg,,,,,,,,,, +皱叶黄杨,Buxus rugulosa,南水北调队,5744,19600517,四川省,2400,阴处沟底 石灰岩地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069033.jpg,,,,,,,,,, +单蕊拂子茅,Calamagrostis emodensis,"熊济华,周子林",92352,19570729,重庆市,2050,山谷间平地向阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00288449.jpg,,,,,,,,,, +单蕊拂子茅,Calamagrostis emodensis,K.Tanimoto etc.,2,19790712,Kyushu,1700,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/321942.jpg,,,,,,,,,, +单蕊拂子茅,Calamagrostis emodensis,汤加勇,赖建军,Y07135,20071022,四川,2330,林缘平地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400417.jpg,,,,,,,,,, +拂子茅,Calamagrostis epigeios,谭策铭,董安淼等,TCM09029,20091015,江西,1000,落叶阔叶林山谷草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400428.jpg,,,,,,,,,, +拂子茅,Calamagrostis epigeios,张代贵、王业清、朱小琴,2124,20170818,湖北宜昌,1335,路边,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/HHE07313.jpg,,,,,,,,,, +拂子茅,Calamagrostis epigeios,陈全胜,CF-0010-273,20170827,内蒙古自治区,1074,河滩草甸,平坦开阔,,无花有果,https://image.cvh.ac.cn/files/l/PE/02246140.jpg,,,,,,,,,, +短芒拂子茅,Calamagrostis hedinii,郭柯,39,19891005,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/019112149.jpg,,,,,,,,,, +短芒拂子茅,Calamagrostis hedinii,白水江考察队,962,20060704,甘肃省,1300,河谷山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824982.jpg,,,,,,,,,, +短芒拂子茅,Calamagrostis hedinii,张昌兵,HY0022,20090906,四川,3524,湿地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400432.jpg,,,,,,,,,, +,Calamagrostis hongii,,,,,,,,,,,,,,,,,,, +假苇拂子茅,Calamagrostis pseudophragmites,张志和,174,1955/7/18,辽宁,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0219044.jpg,,,,,,,,,, +,Calamagrostis pseudophragmites,Yang,5243,19370712,绥远,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0045646.jpg,,,,,,,,,, +假苇拂子茅,Calamagrostis pseudophragmites,老铁山采集队,407,20080712,辽宁省,,海边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089619.jpg,,,,,,,,,, +,Calamus acanthospathus,生态室高原组,10952,19800707,西藏自治区,250,河谷半常绿林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02098884.jpg,,,,,,,,,, +云南省藤,Calamus acanthospathus,吉占和,950,19800818,甘肃,1510,阴湿山下,,无花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0094404.jpg,,,,,,,,,, +云南省藤,Calamus acanthospathus,廉永善,白建鲁,820120,19820806,山东,,杂木林下,阴湿岩石上,,无花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0094410.jpg,,,,,,,,,, +直立省藤,Calamus erectus,尹光天,601,19871204,云南省,0~1000,,藤本 ,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0638746.jpg,,,,,,,,,, +直立省藤,Calamus erectus,邓良,8346,19581108,广东省,,山地 路旁,水旁 山谷灌丛,灌木直立,无花有果,https://image.cvh.ac.cn/files/l/AU/033455.jpg,,,,,,,,,, +滇缅省藤,Calamus erectus,,10118,,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/062405.jpg,,,,,,,,,, +长鞭藤,Calamus flagellum,"车鑫, 亚吉东|1657, 秦少发|8072, 杨蔓蔓, 李灵丽",YYGYS071,20151126,云南,,常绿阔叶林,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1441216.jpg,,,,,,,,,, +长鞭藤,Calamus flagellum,张伟良,873073,19871209,云南省,0~810,,藤本 ,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0638753.jpg,,,,,,,,,, +长鞭藤,Calamus flagellum,"李渤生,程树志",4575,19830510,西藏自治区,1000~800,半常绿雨林下常见藤本,,无花无果,https://image.cvh.ac.cn/files/l/PE/01468179.jpg,,,,,,,,,, +,Calamus floribundus,"李渤生,程树志",3810,19830324,西藏自治区,710,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02098353.jpg,,,,,,,,,, +小省藤,Calamus gracilis,C.W.Wang,80762,19361100,云南省,850,Under dense forest,,无花无果,https://image.cvh.ac.cn/files/l/PE/01437640.jpg,,,,,,,,,, +小省藤,Calamus gracilis,,4,,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0639327.jpg,,,,,,,,,, +小省藤,Calamus gracilis,刘心祈,27204,19360619,海南省,0,,緾绕藤本 ,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0639329.jpg,,,,,,,,,, +,Calamus inermis,韩骅,15,19880510,云南省,1700,林中,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1248074.jpg,,,,,,,,,, +泽泻虾脊兰,Calanthe alismatifolia,西藏生物所植物资源队,3876,19830821,西藏自治区,1700,杂木林之下,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0009402.jpg,,,,,,,,,, +泽泻虾脊兰,Calanthe alismatifolia,侯小琪,YD261013-549,20141013,贵州,,水旁草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0000816.jpg,,,,,,,,,, +泽泻虾脊兰,Calanthe alismatifolia,倪芝瑜、苏燕秋,11949,19820515,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0035276.jpg,,,,,,,,,, +泽泻虾脊兰,Calanthe alismifolia,勐海普查队,5328220329,20120518,云南省,1304,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0024857.jpg,,,,,,,,,, +,Calanthe alpina,R. P. Farges,347,,四川; SZECHWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00029191.jpg,,,,,,,,,, +流苏虾脊兰,Calanthe alpina,任宗昕,蒋伟,张明英,骆洋,王雪芹,WH-2012-0372,20120625,云南,2887,林下,草本,,https://image.cvh.ac.cn/files/l/KUN/1393619.jpg,,,,,,,,,, +流苏虾脊兰,Calanthe alpina,白水江采集队,5453,20070525,甘肃省,2100,山坡 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01704077.jpg,,,,,,,,,, +弧距虾脊兰,Calanthe arcuata,江明喜,黄汉东,万丹,周阳,陈树宏,田弟荣,2916,20181015,湖北,1650,路边林下,草本,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0184499.jpg,,,,,,,,,, +短叶吓脊兰,Calanthe arcuata,J.W.Hsu,2366,19880624,台湾省,0,"In semi-original,Picea morrisonicola forest",,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0624460.jpg,,,,,,,,,, +弧距虾脊兰,Calanthe arcuata,"Zhu, Chen, Xu,Wang",2493,20000712,陕西省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526360.jpg,,,,,,,,,, +二裂虾脊兰,Calanthe biloba,李鸣冈,929,19391000,云南省,1800,灌丛溪旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00270043.jpg,,,,,,,,,, +二裂虾脊兰,Calanthe biloba,郭世伟;杨佳俊;张品;李风荣,KIBDZL212B09,20191011,云南,1697,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1562647.jpg,,,,,,,,,, +肾唇虾脊兰,Calanthe brevicornu,广西队,618,19530600,广西壮族自治区,,山腰,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997914.jpg,,,,,,,,,, +肾唇虾脊兰,Calanthe brevicornu,T.Naito et al. ,962,19860512,西藏自治区,2000,in evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803479.jpg,,,,,,,,,, +肾唇虾脊兰,Calanthe brevicornu,刘正宇、林茂祥等,S-0619,20160311,重庆,1018,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051515.jpg,,,,,,,,,, +,Calanthe chloroleuca,,,,,,,,,,,,,,,,,,, +棒距虾脊兰,Calanthe clavata,侯晓琪,520381160525123LY,20160525,贵州省,740,阔叶林、湿生、阴性、酸性、中温,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0054300.jpg,,,,,,,,,, +棒距虾脊兰,Calanthe clavata,辛树炽,20050,19310422,广西壮族自治区,0,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0624475.jpg,,,,,,,,,, +棒距虾脊兰,Calanthe clavata,邬文祥,9028,19910119,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585631.jpg,,,,,,,,,, +剑叶虾脊兰,Calanthe davidii,"倪志诚,汪永泽,次多,次旦",600,19800627,西藏自治区,2500,山坡杂木林林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00270196.jpg,,,,,,,,,, +剑叶虾脊兰,Calanthe davidii,陈功锡,张代贵,SCSB-HC-2008093,20080826,湖北,900,山坡林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393635.jpg,,,,,,,,,, +剑叶虾脊兰,Calanthe davidii,王名金等,3406,19550420,福建省,900,岩石旁阴处,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00557164.jpg,,,,,,,,,, +少花虾脊兰,Calanthe delavayi,王作宾,14472,1951/7/20,宁夏,2700,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0029170.jpg,,,,,,,,,, +少花虾脊兰,Calanthe delavayi,Luo Yi-bo,806,20020721,四川省,3100,Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526978.jpg,,,,,,,,,, +少花虾脊兰,Calanthe delavayi,白水江考察队,781,19980726,甘肃省,2700,山地 山坡 密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01537294.jpg,,,,,,,,,, +密花虾脊兰,Calanthe densiflora,H.Ohashi et al.,24348,19881017,台湾省,1800~2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517686.jpg,,,,,,,,,, +密花虾脊兰,Calanthe densiflora,曾沛,12477,,海南,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00027024.jpg,,,,,,,,,, +密花虾脊兰,Calanthe densiflora,北京队,897285,19890918,广西壮族自治区,,溪边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997912.jpg,,,,,,,,,, +,Calanthe dulongensis,,,,,,,,,,,,,,,,,,, +,Calanthe ecarinata,,,,,,,,,,,,,,,,,,, +通麦虾脊兰,Calanthe griffithii,金效华,6994,20050516,云南省,2758,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01855666.jpg,,,,,,,,,, +通麦虾脊兰,Calanthe griffithii,谭策铭、易桂花、张丽萍、易发彬,信宜498,20030114,广东省,940,山谷林下,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00058609.jpg,,,,,,,,,, +通麦虾脊兰,Calanthe griffithii,金效华,8170,20060513,云南,2386,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825078.jpg,,,,,,,,,, +西南虾脊兰,Calanthe herbacea,Jin Weitao,13411,20120706,云南省,1900,Tropical evergreen broad leaved forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02025166.jpg,,,,,,,,,, +西南虾脊兰,Calanthe herbacea,生态室高原组,11374,19800727,西藏自治区,1900,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376705.jpg,,,,,,,,,, +西南虾脊兰,Calanthe herbacea,"喻勋林,谭洪田",905057,20090530,湖南省,660,路边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089927.jpg,,,,,,,,,, +乐昌虾脊兰,Calanthe lechangensis,"方鼎,刘达雨",22234,19760309,,,,,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI047854.jpg,,,,,,,,,, +乐昌虾脊兰,Calanthe lechangensis,吴磊、温兆捷,5870,20170509,广西,,山坡密林,直立草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI067056.jpg,,,,,,,,,, +乐昌虾脊兰,Calanthe lechangensis,郭素白,80267,19340420,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00270481.jpg,,,,,,,,,, +南方虾脊兰,Calanthe lyroglossa,S.Saito,8186,19270501,台湾省,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/92942.jpg,,,,,,,,,, +南方虾脊兰,Calanthe lyroglossa,金效华,8502,20060925,海南省,732,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033288.jpg,,,,,,,,,, +南方虾脊兰,Calanthe lyroglossa,海南东路队,582,19541107,海南岛,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00144900.jpg,,,,,,,,,, +细花虾脊兰,Calanthe mannii,"郭永杰, 王雨华, 杨立新, 李姗",18CS17144,20180513,西藏,1566,常绿阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487285.jpg,,,,,,,,,, +细花虾脊兰,Calanthe mannii,刘成、何华杰、黄莉、李涟漪、黄孝舸,14CS9990,20141114,云南,2279,旱冬瓜、核桃次生林下,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1393645.jpg,,,,,,,,,, +细花虾脊兰,Calanthe mannii,周建军、宋宗平,1405004,20140501,湖南省,1467,阔叶林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI029099.jpg,,,,,,,,,, +墨脱虾脊兰,Calanthe metoensis,生态室高原组,14080,19800807,西藏自治区,2200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376691.jpg,,,,,,,,,, +墨脱虾脊兰,Calanthe metoensis,吉占和,93-021,19930712,云南省,1850,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00850179.jpg,,,,,,,,,, +墨脱虾脊兰,Calanthe metoensis,青藏队,74-3980,19740803,西藏,2250,山坡阔叶混交林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0028055.jpg,,,,,,,,,, +戟形虾脊兰,Calanthe nipponica,李渤生,6865,19830827,西藏自治区,2200~2400,黄杉林下常见草木,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376721.jpg,,,,,,,,,, +戟形虾脊兰,Calanthe nipponica,Miyoshi Furuse,30994,19560727,,1100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00106095.jpg,,,,,,,,,, +戟形虾脊兰,Calanthe nipponica,方震东,843,19880706,云南省,3240,高山松林下,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003775.jpg,,,,,,,,,, +香花虾脊兰,Calanthe odora,蒋英,5677,19300707,贵州省,,along trail in dense shade,,有花无果,https://image.cvh.ac.cn/files/l/PE/00270529.jpg,,,,,,,,,, +香花虾脊兰,Calanthe odora,梁乃宽组,10167,19600618,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI047867.jpg,,,,,,,,,, +香花虾脊兰,Calanthe odora,邓良,1446,19560612,广东省,0,,草本上升,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0624619.jpg,,,,,,,,,, +,Calanthe plantaginea,王崇杰,696,19981015,西藏自治区,1200~3500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866608.jpg,,,,,,,,,, +泸水车前虾脊兰,Calanthe plantaginea,张桂才,58,19810716,广东省,0,,草本直立,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0624630.jpg,,,,,,,,,, +,Calanthe plantaginea,金效华,10859,20110423,云南省,1540,subtropical evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033337.jpg,,,,,,,,,, +镰萼虾脊兰,Calanthe puberula,陈少卿,15751,1958/7/18,广西,,,草本、直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0213014.jpg,,,,,,,,,, +镰萼虾脊兰,Calanthe puberula,傅坤俊,5009,1952/7/14,陕西,1400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0060272.jpg,,,,,,,,,, +镰萼虾脊兰,Calanthe puberula,何华杰,81487,20080926,西藏,2142,林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393648.jpg,,,,,,,,,, +反瓣虾脊兰,Calanthe reflexa,HK kadoorie PT,3363,20020427,云南省,1500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02097620.jpg,,,,,,,,,, +反瓣虾脊兰,Calanthe reflexa,刘正宇、张军等,S-2862,20170711,重庆,1003.27,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051519.jpg,,,,,,,,,, +反瓣虾脊兰,Calanthe reflexa,吴磊、李雄、刘昂、刘文剑,7391,20190905,湖南,700~1500,山坡密林,直立草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI064498.jpg,,,,,,,,,, +长距虾脊兰,Calanthe sylvatica,武陵队,1949,19881009,湖南省,0~900,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0624712.jpg,,,,,,,,,, +长距虾脊兰,Calanthe sylvatica,覃海宁等,2490,19981108,广西壮族自治区,1300,山地,石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997904.jpg,,,,,,,,,, +长距虾脊兰,Calanthe sylvatica,花志祥、胡超、 蒋凯,HCC026,20150412,广西,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0090091.jpg,,,,,,,,,, +三棱虾脊兰,Calanthe tricarinata,三峡考察队,1674,20080715,重庆市,1830~1887,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01989951.jpg,,,,,,,,,, +三棱虾脊兰,Calanthe tricarinata,K.Y.Lang et al.,967,19860514,西藏自治区,2000,In evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517128.jpg,,,,,,,,,, +三棱虾脊兰,Calanthe tricarinata,周义峰,熊豫宁,陈岳,王翔,神农架2019995,20190516,湖北,1649,疏林下,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00633542.jpg,,,,,,,,,, +三褶虾脊兰,Calanthe triplicata,邬文祥,8917,19900519,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585635.jpg,,,,,,,,,, +三褶虾脊兰,Calanthe triplicata,黄显洲,703,19860505,湖北省,0~1400,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0624786.jpg,,,,,,,,,, +三褶虾脊兰,Calanthe triplicata,,s.n.,19820107,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00270839.jpg,,,,,,,,,, +,Calanthe trulliformis,,,,,,,,,,,,,,,,,,, +,Calanthe velutina,,,,,,,,,,,,,,,,,,, +四川虾脊兰,Calanthe whiteana,Ching et Shun,144,19310612,四川省,1700,road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/00270814.jpg,,,,,,,,,, +四川虾脊兰,Calanthe whiteana,刘正宇,6810,19840824,重庆市,1500,,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0013229.jpg,,,,,,,,,, +,Calanthe × yarlungzangboensis,,,,,,,,,,,,,,,,,,, +,Callianthemum farreri,"Farrer, R. & Purdum, W.",F.70,,,,,,,https://image.cvh.ac.cn/files/l/E/E00438760.jpg,,,,,,,,,, +川甘美花草,Callianthemum farreri,王作宾,14372,19510713,甘肃省,3500,冷杉林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/00440563.jpg,,,,,,,,,, +川甘美花草,Callianthemum farreri,曾庆楣,VII305416,19870616,湖北省,2500,岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00440565.jpg,,,,,,,,,, +柴达木沙拐枣,Calligonum zaidamense,阿尔金山考察队 克里木,A0061,80.08.01,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00003317.jpg,,,,,,,,,, +,Calligonum zaidamense,冯建菊,蒋学玮,LiuJQ-fjj-0169-090,20100808,新疆,1628,山前砾石戈壁,灌木,,https://image.cvh.ac.cn/files/l/KUN/1240346.jpg,,,,,,,,,, +柴达木沙拐枣,Calligonum zaidamense,张洪军,ZHANG2018HC076,20180609,甘肃,1789,温带丛生禾草-矮半灌木草原,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1446345.jpg,,,,,,,,,, +,Callostylis bambusifolia,"刘成, 亚吉东, 李昌洪",18CS16742,20180321,云南,1185,石灰岩山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486801.jpg,,,,,,,,,, +,Callostylis rigida,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T283,20160918,西藏自治区,891,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233058.jpg,,,,,,,,,, +,Callostylis rigida,HK kadoorie PT,782,20010600,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997869.jpg,,,,,,,,,, +,Callostylis rigida,刘恩德,上官法智等,3966,20130305,云南省 ,1556,epiphytic on tree bark,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227378.jpg,,,,,,,,,, +,Caltha sinogracilis,姚淦,3279,19900503,江苏省,3700,石山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00004920.jpg,,,,,,,,,, +细茎驴蹄草,Caltha sinogracilis,FLPH Tibet Expedition,12-1720,20120919,西藏自治区,4000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01966644.jpg,,,,,,,,,, +细茎驴蹄草,Caltha sinogracilis,北京植物所 横断山队,1498,19810713,云南省,3600,高山 灌丛草甸中 水边常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494104.jpg,,,,,,,,,, +,Campanula calcicola,,,,,,,,,,,,,,,,,,, +,Campanula chinensis,,,,,,,,,,,,,,,,,,, +,Campanula crenulata,,,,,,,,,,,,,,,,,,, +,Campanula delavayi,,,,,,,,,,,,,,,,,,, +,Campanula glomeratoides,,,,,,,,,,,,,,,,,,, +,Campylotropis brevifolia,,,,,,,,,,,,,,,,,,, +,Campylotropis wilsonii,,,,,,,,,,,,,,,,,,, +灌木小甘菊,Cancrinia maximowiczii,陈又生等,141046,20140729,内蒙古自治区,,"荒漠砂石坡,常见",,有花无果,https://image.cvh.ac.cn/files/l/PE/02035996.jpg,,,,,,,,,, +灌木小甘菊,Cancrinia maximowiczii,"桂翔, 谢菲, 刘广明",ZHXSNA1006,20170724,内蒙古,1812,森林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452478.jpg,,,,,,,,,, +灌木小甘菊,Cancrinia maximowiczii,Anonymous,1321,19580902,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235440.jpg,,,,,,,,,, +硬秆子草,Capillipedium assimile,S.Noshiro et al.,9770015,19970812,,1950,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023078.jpg,,,,,,,,,, +硬秆子草,Capillipedium assimile,巴山采集队,3051,20100723,四川省,695,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059894.jpg,,,,,,,,,, +,Capillipedium assimile,彭华,陈志辉等,131036,,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1228638.jpg,,,,,,,,,, +细柄草,Capillipedium parviflorum,黄志,44243,19571126,海南省,,山地路旁山坡普遍丛生,,有花有果,https://image.cvh.ac.cn/files/l/PE/00402698.jpg,,,,,,,,,, +细柄草,Capillipedium parviflorum,陇西山考察队,2711,19910926,福建省,400~600,山坡 草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01561553.jpg,,,,,,,,,, +细柄草,Capillipedium parviflorum,Y.Yabe,19100630,,辽宁省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00516906.jpg,,,,,,,,,, +,Capillipedium pteropechys,,,,,,,,,,,,,,,,,,, +,Caragana alpina,,,,,,,,,,,,,,,,,,, +,Caragana bicolor,,,,,,,,,,,,,,,,,,, +,Caragana brevifolia,,,,,,,,,,,,,,,,,,, +,Caragana changduensis,,,,,,,,,,,,,,,,,,, +,Caragana chinghaiensis,,,,,,,,,,,,,,,,,,, +,Caragana crassispina,,,,,,,,,,,,,,,,,,, +,Caragana cuneato-alata,,,,,,,,,,,,,,,,,,, +,Caragana densa,,,,,,,,,,,,,,,,,,, +,Caragana erinacea,,,,,,,,,,,,,,,,,,, +,Caragana franchetiana,,,,,,,,,,,,,,,,,,, +,Caragana junatovii,,,,,,,,,,,,,,,,,,, +,Caragana kozlowii,,,,,,,,,,,,,,,,,,, +,Caragana tangutica,,,,,,,,,,,,,,,,,,, +细裂碎米荠,Cardamine caroides,T.T.Yu,6889,19370706,四川省,3800,高山草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934773.jpg,,,,,,,,,, +,Cardamine franchetiana,"Forrest, George",2225,6-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00386084.jpg,,,,,,,,,, +宽翅碎米荠,Cardamine franchetiana,王启无,66122,19350900,西藏自治区,3800,"Peak region,Rock side",,无花有果,https://image.cvh.ac.cn/files/l/PE/01124656.jpg,,,,,,,,,, +宽翅碎米荠,Cardamine franchetiana,冯国楣,23080,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0496291.jpg,,,,,,,,,, +纤细碎米荠,Cardamine gracilis,田效文等,556,19810710,云南省,3200,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350770.jpg,,,,,,,,,, +纤细碎米荠,Cardamine gracilis,郎楷永等,1729,19830610,四川省,2300,山坡阴湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821033.jpg,,,,,,,,,, +纤细碎米荠,Cardamine gracilis,郎楷永等,1729,19830610,四川,2300,山坡阴湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821032.jpg,,,,,,,,,, +小叶碎米荠,Cardamine microzyga,PE西藏考察队,7854,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332634.jpg,,,,,,,,,, +小叶碎米荠,Cardamine microzyga,,8,19610327,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00170717.jpg,,,,,,,,,, +小叶碎米荠,Cardamine microzyga,林芹,邓向福,790473,19790000,云南省,0,沟边,路旁,荫湿,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0497121.jpg,,,,,,,,,, +多花碎米荠,Cardamine multiflora,"张超,余磊",L006119,20060608,四川省,1750,湖边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995476.jpg,,,,,,,,,, +多花碎米荠,Cardamine multiflora,K.M.Feng,4825,19400617,云南省,2600,沟边杂林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01004211.jpg,,,,,,,,,, +多花碎米荠,Cardamine multiflora,宋滋圃,98262,19540528,四川,2750,林中,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0175886.jpg,,,,,,,,,, +紫花碎米荠 ,Cardamine purpurascens,巴山采集队,4827,20110628,四川省,1651,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872607.jpg,,,,,,,,,, +,Cardamine purpurascens,"Rock, Joseph Francis Charles",16487,28-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00154555.jpg,,,,,,,,,, +紫花碎米荠 ,Cardamine purpurascens,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0456,20130805,西藏自治区,4230,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000586.jpg,,,,,,,,,, +,Cardamine rockii,彭玉兰、涂卫国、幸福,Gaoxf314,20080718,四川,4035,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0238344.jpg,,,,,,,,,, +鞭枝碎米荠,Cardamine rockii,俞德俊,5684,19370524,四川省,3100,side of mt.stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/01004359.jpg,,,,,,,,,, +,Cardamine rockii,周浙昆,苏涛,杨莹,张芳茗,李国锋,黄永江,Zhou09-104,20091014,云南,3909,路边,阔叶林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235439.jpg,,,,,,,,,, +单茎碎米荠,Cardamine simplex,秦仁昌,20977,19390622,云南省 ,0,on open pasture,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0497204.jpg,,,,,,,,,, +桔梗,Cardamine simplex,赵蕊,BJTC009398,20190701,北京市,865,山坡林地,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC009398.jpg,,,,,,,,,, +,Cardamine simplex,张挺,刘成,郭永杰等,09CS1379,20090720,云南,3226,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235441.jpg,,,,,,,,,, +大百合,Cardiocrinum giganteum,巴山采集队,2495,20080726,重庆市,2100,山谷杂木林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01860843.jpg,,,,,,,,,, +大百合,Cardiocrinum giganteum,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1416,20130817,西藏自治区,2764,山谷 林缘草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02000350.jpg,,,,,,,,,, +大百合,Cardiocrinum giganteum,红水河植物考察队,2438,19890621,云南省,2000,次生灌木林山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017609.jpg,,,,,,,,,, +,Carex alatauensis,,,,,,,,,,,,,,,,,,, +禾状苔草,Carex alopecuroides,刘淼等,A160133,20060827,安徽省,800,生于山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01798121.jpg,,,,,,,,,, +,Carex alopecuroides,武夷队,2381,19810430,福建省,2000,路旁草地,草本,有花有果,https://image.cvh.ac.cn/files/l/FJSI/006159.jpg,,,,,,,,,, +禾状薹草,Carex alopecuroides,中苏队,13-Apr,19550624,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0631605.jpg,,,,,,,,,, +,Carex alta,彭玉兰、涂卫国,Gaoxf1077,20080908,四川,3707,,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0205630.jpg,,,,,,,,,, +高秆苔草,Carex alta,刘慎谔,18646,19410408,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01844733.jpg,,,,,,,,,, +高秆薹草,Carex alta,T.N.Liou,15257,19460301,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0631617.jpg,,,,,,,,,, +,Carex aristulifera,,,,,,,,,,,,,,,,,,, +黑穗苔草,Carex atrata,"李渤生,郑度,张百明",10250,19870626,新疆维吾尔自治区,3780~3800,高山草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073158.jpg,,,,,,,,,, +黑穗苔草,Carex atrata,齐威,LiuJQ-429,20080922,甘肃省,0~3525,高寒草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0281912.jpg,,,,,,,,,, +黑穗苔草,Carex atrata,S.Suzuki,,19330111,台湾省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031506.jpg,,,,,,,,,, +,Carex atrata subsp. pullata,H.T.Tsai,53982,19330731,云南省,,水塘边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01862888.jpg,,,,,,,,,, +川康苔草,Carex atrata subsp. pullata,梁一民,374,1963/7/30,陕西,3650,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0218232.jpg,,,,,,,,,, +尖鳞薹草,Carex atrata subsp. pullata,齐威 ,LJQ-2008-GN-429,20080922,甘肃,3525,高寒草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397222.jpg,,,,,,,,,, +黑褐缘苔草,Carex atrofusca subsp. minor,Hopkinson,1034A,19300827,青海省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844377.jpg,,,,,,,,,, +黑褐穗薹草,Carex atrofusca subsp. minor,田先华,白根录等,TianXH075,20100916,陕西,3424,太白落叶松林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397230.jpg,,,,,,,,,, +黑褐缘苔草,Carex atrofusca subsp. minor,P.Licent S. J.,6612,19220701,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844386.jpg,,,,,,,,,, +类黑褐穗苔草,Carex atrofuscoides,梁一民,373,1963/7/30,陕西,3650,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0358267.jpg,,,,,,,,,, +类黑褐穗薹草,Carex atrofuscoides,黄荣福,K-356,19900801,青海省,4950,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/164795.jpg,,,,,,,,,, +类黑褐穗薹草,Carex atrofuscoides,张挺,蔡杰等,SCSB-B-000469,20070914,西藏,5086,高山流石滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397238.jpg,,,,,,,,,, +浆果苔草,Carex baccans,王裕珠,Y0194,19781026,云南省,1900,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077978.jpg,,,,,,,,,, +浆果薹草,Carex baccans,周建军、宋宗平,1404153,20140420,湖南省,420,路旁,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI029189.jpg,,,,,,,,,, +浆果苔草,Carex baccans,海南植物调查队,424,1955,海南,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0365891.jpg,,,,,,,,,, +不丹嵩草,Carex bhutanensis,PE西藏队,PE5532,20170831,西藏自治区,4460,草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01891494.jpg,,,,,,,,,, +,Carex bijiangensis,H. T. Tasi,54125,19330904,云南省,4300,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01863846.jpg,,,,,,,,,, +,Carex bijiangensis,青藏队,10238,19820909,西藏自治区,4000,山坡灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01862981.jpg,,,,,,,,,, +,Carex bistaminata,,,,,,,,,,,,,,,,,,, +滨海薹草,Carex bodinieri,P.Courtois,30461,19221002,安徽省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0656272.jpg,,,,,,,,,, +滨海薹草,Carex bodinieri,叶华谷等,2848,19991102,湖南省,0~1350,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0656276.jpg,,,,,,,,,, +滨海苔草,Carex bodinieri,刘慎谔,20879,19460922,云南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0366592.jpg,,,,,,,,,, +,Carex bonatiana,PE西藏考察队,7133,20180610,西藏自治区,4281,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333203.jpg,,,,,,,,,, +青绿薹草,Carex breviculmis,安海成,ANHC041,20160612,吉林,,灌木丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1441919.jpg,,,,,,,,,, +青绿薹草,Carex breviculmis,Jisaburo Ohwi,3780,Jul-33,台湾; Formosa: Prov. T,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00019070.jpg,,,,,,,,,, +短茎苔草,Carex breviculmis,王启无,62352,1934/9/1,云南,,,木本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0038207.jpg,,,,,,,,,, +褐果薹草,Carex brunnea,刘正宇、张军等,S-2803,20170710,重庆,979.72,溪边,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0051162.jpg,,,,,,,,,, +褐果薹草,Carex brunnea,"祝文志, 刘志祥, 曹远俊",ShenZH0046,20111020,湖北,,温带落叶阔叶林坡地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1397334.jpg,,,,,,,,,, +褐果薹草,Carex brunnea,"郭永杰, 张桥蓉, 黄莉, 李涟漪, 李培, 何德明, 杨映虹",16CS13767,20161021,浙江,34,公路边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484554.jpg,,,,,,,,,, +,Carex burangensis,,,,,,,,,,,,,,,,,,, +,Carex burttii,,,,,,,,,,,,,,,,,,, +丛生薹草,Carex caespititia,,103,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/078334.jpg,,,,,,,,,, +丛生薹草,Carex caespititia,路端正,,20010700,黑龙江,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00002373.jpg,,,,,,,,,, +丛生薹草,Carex caespititia,张昌兵,邓秀华,ZhangCB0319,20091112,四川,3433,沙地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397351.jpg,,,,,,,,,, +丛薹草,Carex caespitosa,西藏中草药考察队,292,19720616,西藏自治区,3200,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/29997.jpg,,,,,,,,,, +丛薹草,Carex caespitosa,黄学文,乌丽莎,Huangxw1347,20120714,内蒙古,687,湿草地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1397350.jpg,,,,,,,,,, +褐丛苔草,Carex caespitosa,柴达木盆地调查队,49,1955/6/15,青海,2740,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0348102.jpg,,,,,,,,,, +,Carex canaliculata,,,,,,,,,,,,,,,,,,, +发秆苔草,Carex capillacea,S.Saito,9324,19260826,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849497.jpg,,,,,,,,,, +单穗苔草,Carex capillacea,黄汉东,刘检明,胡华,1666,20170518,湖北,,,,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0179152.jpg,,,,,,,,,, +发秆薹草,Carex capillacea,Tsang W.T.,20.181,1932/4/4,广东; KWANGTUNG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00018414.jpg,,,,,,,,,, +,Carex capillifolia,,,,,,,,,,,,,,,,,,, +藏东薹草,Carex cardiolepis,彭玉兰、张君议、杨焰,THP-KD-4279,20170714,四川,3876~4113,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255275.jpg,,,,,,,,,, +藏东苔草,Carex cardiolepis,滇西北金沙江队,63-6299,19630730,云南省,2600,石灰岩山谷路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191286.jpg,,,,,,,,,, +藏东苔草,Carex cardiolepis,广西队,9109,19610623,广西壮族自治区,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0366028.jpg,,,,,,,,,, +,Carex cercostachys,,,,,,,,,,,,,,,,,,, +,Carex changmuensis,,,,,,,,,,,,,,,,,,, +,Carex chiwuana,,,,,,,,,,,,,,,,,,, +绿穗苔草,Carex chlorostachys,曲桂齡,7374,19400713,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191312.jpg,,,,,,,,,, +绿穗薹草,Carex chlorostachys,傅坤俊,16082,19640718,陕西省,2200,山地山顶草地,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0230056.jpg,,,,,,,,,, +绿穗薹草,Carex chlorostachys,尹鑫,吴航,葛文静,LiuJQ-GN-2011-153,20110801,甘肃,2965,亚高山草甸坡地,多年生直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397359.jpg,,,,,,,,,, +,Carex clavispica,,,,,,,,,,,,,,,,,,, +,Carex composita,高信芬、涂卫国,6971,20030904,西藏,1700,林内沟边,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0196725.jpg,,,,,,,,,, +复序薹草,Carex composita,郭永杰,吴志坤,吴兴,王宇萍,李志军,14CS9846,20141108,云南,1879,公路边,草本,,https://image.cvh.ac.cn/files/l/KUN/1397366.jpg,,,,,,,,,, +复序薹草,Carex composita,刘正宇,96,19790426,重庆市,520,岩壁阴湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0021668.jpg,,,,,,,,,, +密花苔草,Carex confertiflora,"董洪进,王泽欢,尹志坚",WM-0327,20160503,云南省,1500,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109965.jpg,,,,,,,,,, +密花苔草,Carex confertiflora,T.Kobayashi,647,19680519,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01778680.jpg,,,,,,,,,, +密花苔草,Carex confertiflora,鞠文彬 ,HGX14880,20140802,四川省,570,路边,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0231106.jpg,,,,,,,,,, +,Carex coninux,,,,,,,,,,,,,,,,,,, +扁囊苔草,Carex coriophora,,75,19590708,内蒙古自治区,1160,小水孢边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853152.jpg,,,,,,,,,, +扁囊薹草,Carex coriophora,李崇皓,277,19800822,旗疆维吾尔自治区,2400,山地沼地,,无花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0018749.jpg,,,,,,,,,, +扁囊苔草,Carex coriophora,"汤宗孝,田效文,孙庆国",668,19820808,四川省,3900,高山 灌丛 草场 山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780056.jpg,,,,,,,,,, +,Carex crebra,,,,,,,,,,,,,,,,,,, +十字薹草,Carex cruciata,张代贵,90807074,20090807,湖北神农架,,林边,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU61747.jpg,,,,,,,,,, +十字苔草,Carex cruciata,杨人俊,杨人俊B0756,19570000,江苏省南京市,,,,有花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF008026.jpg,,,,,,,,,, +十字薹草,Carex cruciata,张代贵,70904030,20070904,湖南常德,479,路旁,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU61706.jpg,,,,,,,,,, +狭囊薹草,Carex cruenta,谭策铭,99544,19991128,广东省,220,山脚灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00040852.jpg,,,,,,,,,, +狭囊薹草,Carex cruenta,周联选,邓云飞,13801,19990924,福建省,0~300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0631545.jpg,,,,,,,,,, +狭囊苔草,Carex cruenta,O.Polunin W.R.Sykes & L.H.J.Williams,2364,19520703,,4167,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01706531.jpg,,,,,,,,,, +,Carex curticeps,,,,,,,,,,,,,,,,,,, +,Carex daltoni,,,,,,,,,,,,,,,,,,, +,Carex deasyi,,,,,,,,,,,,,,,,,,, +,Carex deciduisquama,,,,,,,,,,,,,,,,,,, +,Carex delavayi,,,,,,,,,,,,,,,,,,, +,Carex deqinensis,,,,,,,,,,,,,,,,,,, +,Carex desponsa,,,,,,,,,,,,,,,,,,, +,Carex dielsiana,,,,,,,,,,,,,,,,,,, +芒尖苔草,Carex doniana,刘林翰,15805,19630524,湖南,765,山地,湿土,密林,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0366318.jpg,,,,,,,,,, +芒尖苔草,Carex doniana,A.N.Steweard,2124,19220607,江苏省,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0366328.jpg,,,,,,,,,, +签草,Carex doniana,Anonymous,126,19570415,浙江,,阴湿树林下,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0177801.jpg,,,,,,,,,, +,Carex drepanorhyncha,,,,,,,,,,,,,,,,,,, +,Carex duthiei,毛品一,1035,19520526,云南省,3700,草地峻坡干燥,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844756.jpg,,,,,,,,,, +,Carex duthiei,H.T.Tsai,58022,1934/8/18,,4000,,herb,无花无果,https://image.cvh.ac.cn/files/l/WUK/0039129.jpg,,,,,,,,,, +雷波薹草,Carex duthiei,彭玉兰、张君议、郑臣臣,THP-KD-3401,20170716,四川,3768~4150,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255308.jpg,,,,,,,,,, +,Carex echinata,Richard R.Halse,8593,20120712,,1330,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02013066.jpg,,,,,,,,,, +,Carex echinata,中德考察队,36.817,19870818,波恩,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0376091.jpg,,,,,,,,,, +蟋蟀薹草,Carex eleusinoides,刘鸣远,3197,,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/NEFI/122002095006001.jpg,,,,,,,,,, +蟋蟀薹草,Carex eleusinoides,梁畴芬,吴德鄰,32796,19570600,广西壮族自治区,1200,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00147686.jpg,,,,,,,,,, +蟋蟀薹草,Carex eleusinoides,周海城,zhouHC1384,20150618,吉林,1905,苔原带,草质藤本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486158.jpg,,,,,,,,,, +无脉薹草,Carex enervis,傅坤俊,6502,19530518,陕西省,840,沟底,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0059173.jpg,,,,,,,,,, +无脉薹草,Carex enervis,"姜明, 刘波|922",LIU-B-049,20140718,黑龙江,,泥灰沼泽,永久性积水,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1440803.jpg,,,,,,,,,, +无脉苔草,Carex enervis,何叶琪,3084,1959/6/7,内蒙,2150,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0389087.jpg,,,,,,,,,, +,Carex esenbeckii,PE西藏考察队,7829,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333004.jpg,,,,,,,,,, +簇穗苔草,Carex fastigiata,,s.n.,,湖南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01321056.jpg,,,,,,,,,, +簇穗薹草,Carex fastigiata,,7,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/078355.jpg,,,,,,,,,, +簇穗薹草,Carex fastigiata,曲桂龄,6387,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0655466.jpg,,,,,,,,,, +,Carex fedia,G.Murata H.Koyama et al.,38423,19780623,,100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01778820.jpg,,,,,,,,,, +蕨状苔草,Carex filicina,江西队,1096,19590908,江西省,1300,山坡 ,,有花有果,https://image.cvh.ac.cn/files/l/PE/00030337.jpg,,,,,,,,,, +蕨状薹草,Carex filicina,南岭队,1517,19850919,广东省,0~700,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0655434.jpg,,,,,,,,,, +蕨状苔草,Carex filicina,,23,,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032703.jpg,,,,,,,,,, +,Carex filispica,,,,,,,,,,,,,,,,,,, +亮绿苔草,Carex finitima,青藏队,11824,19830707,四川省,3100,Abies林下阴湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191318.jpg,,,,,,,,,, +亮绿薹草,Carex finitima,李永亮等,YDDXS0553,20101022,云南,2416,常绿阔叶林边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397508.jpg,,,,,,,,,, +亮绿苔草,Carex finitima,Chieh-Lin Huang et al.,2630,20060730,台湾省,2590,Mixed tall Yushania bamboo vegetation and Picea forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01950290.jpg,,,,,,,,,, +,Carex fissiglumis,,,,,,,,,,,,,,,,,,, +溪畔苔草,Carex fluviatilis,Y.L.Keng,2115,19290421,江苏省,0,,Gregarious sedges,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0655252.jpg,,,,,,,,,, +溪生薹草,Carex fluviatilis,刘慎谔,13528,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0655276.jpg,,,,,,,,,, +溪生薹草,Carex fluviatilis,李盛兰,GanQL276,20120526,湖北,500,库边沙滩,草本,,https://image.cvh.ac.cn/files/l/KUN/1397532.jpg,,,,,,,,,, +,Carex forrestii,,,,,,,,,,,,,,,,,,, +,Carex gammiei,,,,,,,,,,,,,,,,,,, +亲族苔草,Carex gentilis,刘正宇,181807,20071109,重庆,1250,溪边草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01823066.jpg,,,,,,,,,, +亲族苔草,Carex gentilis,HSIU-LAN HO,875,19921229,台湾省,2225~2324,"e trail,associated with scarc",,无花有果,https://image.cvh.ac.cn/files/l/PE/00021362.jpg,,,,,,,,,, +亲族苔草,Carex gentilis,李培元,8181,19590720,陕西省,1800,山坡,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0366628.jpg,,,,,,,,,, +,Carex globistylosa,,,,,,,,,,,,,,,,,,, +,Carex gonggaensis,,,,,,,,,,,,,,,,,,, +,Carex gongshanensis,,,,,,,,,,,,,,,,,,, +红嘴薹草,Carex haematostoma,傅坤俊,15030,19640617,甘肃省,1500,山谷冲积地 水旁,草本 直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0230600.jpg,,,,,,,,,, +红嘴苔草,Carex haematostoma,张经炜,1172,19730822,西藏自治区,4550,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075946.jpg,,,,,,,,,, +红嘴苔草,Carex haematostoma,俞德浚,9806,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0366668.jpg,,,,,,,,,, +,Carex handelii,,,,,,,,,,,,,,,,,,, +疏果薹草,Carex hebecarpa,李盛兰,GanQL286,20120601,湖北,465,山坡杂林间,草本,,https://image.cvh.ac.cn/files/l/KUN/1397565.jpg,,,,,,,,,, +疏果苔草,Carex hebecarpa,刘心祈,26397,19360422,海南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0366677.jpg,,,,,,,,,, +疏果薹草,Carex hebecarpa,生物研究所藏考察队,1702,19730805,西藏自治区,2200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/38898.jpg,,,,,,,,,, +,Carex hemineuros,,,,,,,,,,,,,,,,,,, +,Carex heshuonensis,,,,,,,,,,,,,,,,,,, +,Carex himalaica,,,,,,,,,,,,,,,,,,, +,Carex hirtelloides,,,,,,,,,,,,,,,,,,, +,Carex hirticaulis,,,,,,,,,,,,,,,,,,, +,Carex hohxilensis,,,,,,,,,,,,,,,,,,, +,Carex hongyuanensis,,,,,,,,,,,,,,,,,,, +,Carex hughii,,,,,,,,,,,,,,,,,,, +,Carex huolushanensis,,,,,,,,,,,,,,,,,,, +毛囊薹草,Carex inanis,刘成、何华杰、黄莉、杨忠兰,14CS8550,20141109,云南,1247,阔叶林林缘空地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1397583.jpg,,,,,,,,,, +毛囊苔草,Carex inanis,钟补求,7364,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031559.jpg,,,,,,,,,, +,Carex inanis,胡君、王东超、李丽、唐露,sc-a-088-B15,20180814,西藏,3047,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262319.jpg,,,,,,,,,, +秆叶薹草,Carex insignis,蒋裕良、覃营、黄金全,LZC192,20181102,广西,~400,山地,山坡,疏林,黄壤;普遍,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00438095.jpg,,,,,,,,,, +秆叶苔草,Carex insignis,K.M.Feng,13745,19471210,云南省,,in mixea forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853061.jpg,,,,,,,,,, +秆叶薹草,Carex insignis,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201519,20200805,西藏,2583,林下,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1508551.jpg,,,,,,,,,, +,Carex ivanoviae,,,,,,,,,,,,,,,,,,, +金佛山苔草,Carex jinfoshanensis,,3709,19830521,西藏自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02109709.jpg,,,,,,,,,, +金佛山苔草,Carex jinfoshanensis,曲桂龄/K.L.Chu,1075,19350603,四川省,1200,on shady side of a ditch,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/01842047.jpg,,,,,,,,,, +金佛山薹草,Carex jinfoshanensis,李家湘、徐永福、蔡磊、陈军,1645,20120421,湖南省,180,山地林缘沼泽地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI033646.jpg,,,,,,,,,, +甘肃薹草,Carex kansuensis,尹鑫,吴航,葛文静,LiuJQ-GN-2011-145,20110920,甘肃,3467,亚高山草甸坡地,多年生直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397629.jpg,,,,,,,,,, +甘肃薹草,Carex kansuensis,吴玉虎,LJQ-QLS-2008-0146,20080726,青海,3250,阴坡灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397630.jpg,,,,,,,,,, +甘肃薹草,Carex kansuensis,陈进,20184298,20180418,贵州省,449,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0029779.jpg,,,,,,,,,, +,Carex karlongensis,,,,,,,,,,,,,,,,,,, +小粒薹草,Carex karoi,周太炎等,650657,19650602,新疆维吾尔自治区,1200,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/19843.jpg,,,,,,,,,, +多花苔草,Carex karoi,刘全儒,9571005,19950710,北京市,2000,山坡草甸,草本,,https://image.cvh.ac.cn/files/l/BNU/0022946.jpg,,,,,,,,,, +小粒薹草,Carex karoi,王战,2350,19530609,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/IFP/16313050x0001.jpg,,,,,,,,,, +喜马拉雅嵩草,Carex kokanica,PE西藏队,PE5299,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891501.jpg,,,,,,,,,, +披针苔草,Carex lanceolata,郭成勇,20061-046-8,20060413,山东省,400,山坡 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01606847.jpg,,,,,,,,,, +披针苔草,Carex lanceolata,无,285,19100514,东京,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00002540.jpg,,,,,,,,,, +披针苔草,Carex lanceolata,贺贤育,21194,19570430,浙江省,1210,西南山坡 林下路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01173047.jpg,,,,,,,,,, +,Carex lehmannii,T.H.Tu,1424,19340000,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0654723.jpg,,,,,,,,,, +,Carex lehmannii,,36903,,河北,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0043163.jpg,,,,,,,,,, +,Carex lehmannii,刘英,11677,19350700,河北省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0654714.jpg,,,,,,,,,, +,Carex lepidochlamys,,,,,,,,,,,,,,,,,,, +舌叶薹草,Carex ligulata,郑重,226,19630620,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0311706.jpg,,,,,,,,,, +舌叶薹草,Carex ligulata,魏志平,2213,1958/8/31,甘肃,1100,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0108966.jpg,,,,,,,,,, +舌叶薹草,Carex ligulata,南林队,5184a,19580730,江苏省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0654635.jpg,,,,,,,,,, +,Carex littledalei,,,,,,,,,,,,,,,,,,, +长柄苔草,Carex longipes,曾宪锋,ZXF14041,2013/4/21,江西省,710,林下,,,https://image.cvh.ac.cn/files/l/CZH/CZH0008367.jpg,,,,,,,,,, +长穗苔草,Carex longipes,K.L.Chu,7750,19400817,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01841830.jpg,,,,,,,,,, +,Carex longipes,王乾、顾健,SCW2416,20200604,四川,2634,,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274498.jpg,,,,,,,,,, +,Carex longispiculata,,,,,,,,,,,,,,,,,,, +,Carex magnoutriculata,,,,,,,,,,,,,,,,,,, +,Carex makuensis,,,,,,,,,,,,,,,,,,, +黑花薹草,Carex melanantha,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20860,20200630,西藏,3871,河滩地,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1505267.jpg,,,,,,,,,, +黑花苔草,Carex melanantha,傅国勋,1030,19600717,西藏自治区,4600,山坡 ,,有花有果,https://image.cvh.ac.cn/files/l/PE/00030592.jpg,,,,,,,,,, +黑花苔草,Carex melanantha,杨宗宗,03-209,20030724,新疆省,3500,,草本,,https://image.cvh.ac.cn/files/l/BNU/0020473.jpg,,,,,,,,,, +,Carex melinacra,,,,,,,,,,,,,,,,,,, +尖苞苔草,Carex microglochin,"Laaksonen,Kyosti",1720,19600710,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01966493.jpg,,,,,,,,,, +尖苞薹草,Carex microglochin,杨赵平,周禧林,贺冰等,LiZJ1228,20100805,新疆,3730,山间草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397706.jpg,,,,,,,,,, +尖苞薹草,Carex microglochin,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20856,20200630,西藏,3889,河滩地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505927.jpg,,,,,,,,,, +窄叶薹草,Carex montis-everestii,何廷农,2183,19910714,甘肃省,2850,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0216905.jpg,,,,,,,,,, +宕叶苔草,Carex montis-everestii,刘尚武,20,19650608,青海省,4150,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01609019.jpg,,,,,,,,,, +窄叶薹草,Carex montis-everestii,李晖,卜海涛,边巴,次旦,Lihui-Q-09-04,20090830,西藏,5159,高山草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397728.jpg,,,,,,,,,, +青藏苔草,Carex moorcroftii,PE西藏考察队,7029,20180608,西藏自治区,4172~4868,湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333257.jpg,,,,,,,,,, +青藏苔草,Carex moorcroftii,汤宗孝,1427,19830711,四川省,3500,亚高山 半沼泽草场,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780075.jpg,,,,,,,,,, +青藏薹草,Carex moorcroftii,张昌兵,邓秀华,ZhangCB0215,20090820,四川,3471,沙地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397712.jpg,,,,,,,,,, +,Carex motuoensis,,,,,,,,,,,,,,,,,,, +,Carex mucronatiformis,,,,,,,,,,,,,,,,,,, +,Carex muliensis,,,,,,,,,,,,,,,,,,, +秀丽苔草,Carex munda,青藏队,10133,19820908,西藏自治区,3700~3900,山沟中灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191426.jpg,,,,,,,,,, +,Carex myosurus,刘林翰,9802,19580915,湖南省,0~500,,直立草本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0654328.jpg,,,,,,,,,, +,Carex myosurus,兴安采集队,63,19540919,广西壮族自治区,0~60,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0654329.jpg,,,,,,,,,, +鼠尾苔草,Carex myosurus,科考队,1612,19740805,西藏自治区,1300,常绿阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01856393.jpg,,,,,,,,,, +,Carex neesii,,,,,,,,,,,,,,,,,,, +,Carex neodigyna,,,,,,,,,,,,,,,,,,, +喜马拉雅薹草,Carex nivalis,青藏队 吴玉虎,870522,19870708,新疆维吾尔自治区,4520,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0218987.jpg,,,,,,,,,, +喜马拉雅薹草,Carex nivalis,黄荣福,CG89-769,19891017,西藏自治区,5200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/155805.jpg,,,,,,,,,, +喜马拉雅苔草,Carex nivalis,T.T.Yu,8652,19370619,云南省,3500,mt grassy slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/01939048.jpg,,,,,,,,,, +,Carex noltiei,,,,,,,,,,,,,,,,,,, +,Carex notha,,,,,,,,,,,,,,,,,,, +云雾薹草,Carex nubigena,安明态,NY-0839,20120706,贵州省,1996,山地,草本,有花无果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0031278.jpg,,,,,,,,,, +褐红脉苔草,Carex nubigena,王崇书等,1101,1958/6/13,辽宁,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0187323.jpg,,,,,,,,,, +云雾苔草,Carex nubigena,孙学刚等,20010374,20010818,甘肃省,2500,沟谷湿地溪旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855166.jpg,,,,,,,,,, +,Carex nudicarpa,,,,,,,,,,,,,,,,,,, +,Carex obovatosquamata,,,,,,,,,,,,,,,,,,, +刺囊苔草,Carex obscura,白水江考察队,389,20060628,甘肃,2350~2400,沟边湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01823304.jpg,,,,,,,,,, +刺囊薹草,Carex obscura,蔡杰,张挺,刘成,郭永杰,张桥蓉,11CS3234,20110820,云南,3666,路边冷杉林缘石质山坡,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1397773.jpg,,,,,,,,,, +,Carex obscura,Dr. Heinr. Frh. v. Handel-Mazz,1824,1916/8/8,,3800,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00018453.jpg,,,,,,,,,, +,Carex orbicularis,林裕松,65,19590511,宁夏,,,,无花有果,https://image.cvh.ac.cn/files/l/LZD/LZD0002181.jpg,,,,,,,,,, +,Carex orbicularis,毛树珍,99,19590629,甘肃,,,,有花有果,https://image.cvh.ac.cn/files/l/LZD/LZD0002178.jpg,,,,,,,,,, +圆囊薹草,Carex orbicularis,冯虎元,LiuJQ-08KLS-124,20080910,青海,4666,高寒草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397807.jpg,,,,,,,,,, +,Carex ovatispiculata,巴山采集队,972,20080709,重庆市,1280,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01860672.jpg,,,,,,,,,, +卵穗薹草,Carex ovatispiculata,白绍斌,XPALSC247,20090413,云南,2100,小路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397825.jpg,,,,,,,,,, +卵穗薹草,Carex ovatispiculata,C.W.Wang,69086,19350800,云南省 ,0~3500,,woody plant,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0654187.jpg,,,,,,,,,, +,Carex oxyphylla,,,,,,,,,,,,,,,,,,, +,Carex pamirica,,,,,,,,,,,,,,,,,,, +,Carex paratatsiensis,,,,,,,,,,,,,,,,,,, +小薹草,Carex parva,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201679,20200811,西藏,4212,湿地中,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1508450.jpg,,,,,,,,,, +小薹草,Carex parva,傅坤俊,8516,19560808,陕西省,3400,平坦草地、低温处,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0072922.jpg,,,,,,,,,, +薹草,Carex parva,王健,2017613012,20170613,河南,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0019234.jpg,,,,,,,,,, +,Carex parvula,,,,,,,,,,,,,,,,,,, +,Carex peichuniana,,,,,,,,,,,,,,,,,,, +硬毛薹草,Carex plectobasis,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20500,20200618,西藏,3781,荒坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507405.jpg,,,,,,,,,, +,Carex polycephala,汤宗孝,123,19810528,云南省,3100,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01681767.jpg,,,,,,,,,, +,Carex polycephala,Thomas J.Rawinski,9146,19890616,,73,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01662349.jpg,,,,,,,,,, +多头薹草,Carex polycephala,赵魁义,108,19810603,云南,,山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/IGA/IGA0019103.jpg,,,,,,,,,, +,Carex polymascula,,,,,,,,,,,,,,,,,,, +,Carex pomiensis,,,,,,,,,,,,,,,,,,, +沙生苔草,Carex praeclara,张永田,郎楷永,2346,19650901,西藏自治区,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0367278.jpg,,,,,,,,,, +沙生薹草,Carex praeclara,陈家辉,刘亚辉,周妍,赵艳丽,吴志刚,熊力军,YangYP-Q-2263,20090921,四川,4630,高寒草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397838.jpg,,,,,,,,,, +沙生薹草,Carex praeclara,陈家辉,庄会富,边巴扎西,YangYP-Q-2072,20090818,西藏,4546,高山草甸,河滩,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1397837.jpg,,,,,,,,,, +,Carex prolongata,,,,,,,,,,,,,,,,,,, +,Carex przewalskii,,,,,,,,,,,,,,,,,,, +无味苔草,Carex pseudofoetida,李渤生,11805,19880701,新疆维吾尔自治区,4700,河边 草甸 优势种,,有花有果,https://image.cvh.ac.cn/files/l/PE/01295779.jpg,,,,,,,,,, +无味薹草,Carex pseudofoetida,贺贤育,23236,19570525,浙江省,,北山坡、林下、乱草中,,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0180377.jpg,,,,,,,,,, +无味薹草,Carex pseudofoetida,,84-A-191,840627,,4300,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20026249.jpg,,,,,,,,,, +,Carex pseudogammiei,,,,,,,,,,,,,,,,,,, +,Carex pseudohumilis,,,,,,,,,,,,,,,,,,, +,Carex pseudolaxa,,,,,,,,,,,,,,,,,,, +,Carex pseuduncinoides,,,,,,,,,,,,,,,,,,, +黄绿苔草,Carex psychrophila,张树仁等,2032,20140616,四川省,1920~2300,山谷 山坡 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918992.jpg,,,,,,,,,, +黄绿苔草,Carex psychrophila,刘慎谔,10727,19390610,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853140.jpg,,,,,,,,,, +黄绿薹草,Carex psychrophila,彭玉兰、余奇、李林霖,THP-KD-1153,20170614,四川,3091,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255305.jpg,,,,,,,,,, +,Carex pulchra,青藏队,9440,19820822,云南省,1500,山坡 常绿阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191437.jpg,,,,,,,,,, +俊俏苔草,Carex pulchra,青藏补点组,1750603,19750715,西藏自治区,2710,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/96504.jpg,,,,,,,,,, +,Carex purpureosquamata,,,,,,,,,,,,,,,,,,, +,Carex qinghaiensis,,,,,,,,,,,,,,,,,,, +松叶薹草,Carex rara,朱鑫鑫;王君;王美华,ZXX21519,20210502,安徽,1095,林下湿地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1560309.jpg,,,,,,,,,, +琵琶湖苔草,Carex rara,武夷队,2332,19810430,福建省,0~2000,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0653923.jpg,,,,,,,,,, +松叶苔草,Carex rara,"董洪进,赵飞",WM-0448,20160517,云南省,1900,路边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088636.jpg,,,,,,,,,, +丝引薹草,Carex remotiuscula,朱鑫鑫,王君,王美华,ZXX20326,20200530,湖北,159,水边湿地上,,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0187635.jpg,,,,,,,,,, +丝引薹草,Carex remotiuscula,刘正宇,2031770,20030517,贵州省,1600,水沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0021855.jpg,,,,,,,,,, +丝列苔草,Carex remotiuscula,,55,,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844092.jpg,,,,,,,,,, +,Carex ridongensis,,,,,,,,,,,,,,,,,,, +,Carex rochebrunei,,,,,,,,,,,,,,,,,,, +书带薹草,Carex rochebrunii,刘正宇,217,19790502,重庆市,400,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0021877.jpg,,,,,,,,,, +?书带薹草,Carex rochebrunii,杨文光,DT6732,20190515,云南,1480,,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1514752.jpg,,,,,,,,,, +,Carex rochebrunii,邬文祥,9319,19930420,江苏省,,林边草地,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00585986.jpg,,,,,,,,,, +点囊薹草,Carex rubrobrunnea,刘正宇,962625,19960829,重庆市,1700,山地杂木林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0022036.jpg,,,,,,,,,, +,Carex rubrobrunnea,,,19410427,江西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911457.jpg,,,,,,,,,, +点囊薹草,Carex rubrobrunnea,刘正宇,2020870,20020409,云南省,1100,路旁草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0022035.jpg,,,,,,,,,, +,Carex sagaensis,,,,,,,,,,,,,,,,,,, +,Carex sanjappae,,,,,,,,,,,,,,,,,,, +,Carex sargentiana,,,,,,,,,,,,,,,,,,, +,Carex satakeana,,,,,,,,,,,,,,,,,,, +糙喙薹草,Carex scabrirostris,路端正,810610,19811025,江西省,500,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00002721.jpg,,,,,,,,,, +糙喙苔草,Carex scabrirostris,黄河队,4913,19560615,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844163.jpg,,,,,,,,,, +糙喙苔草,Carex scabrirostris,,s.n.,19820730,西藏自治区,5000,高山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01844156.jpg,,,,,,,,,, +,Carex schneideri,,,,,,,,,,,,,,,,,,, +,Carex scitula,,,,,,,,,,,,,,,,,,, +,Carex scolopendriformis,,,,,,,,,,,,,,,,,,, +长茎薹草,Carex setigera,李永亮等三人,LiYL1302,20150523,云南省,1512,南亚热带岩石裸露地杂灌木林间,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1399383.jpg,,,,,,,,,, +小长茎苔草,Carex setigera,西藏中草药普查队,96,19720602,西藏自治区,3950,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/29647.jpg,,,,,,,,,, +长茎薹草,Carex setigera,尹志坚,董洪进,589,20090420,云南,3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512023.jpg,,,,,,,,,, +刺毛苔草,Carex setosa,,8280,19600504,云南省,2460,阴坡阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01844457.jpg,,,,,,,,,, +刺毛苔草,Carex setosa,胡君,王东超,李丽,唐露,SC-a-057-B21,20180726,贵州省,2400,高山栎群落中,多年生草本(无花果),无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609022.jpg,,,,,,,,,, +,Carex setosa,胡君、王东超、李丽、刘晓芬、李永龙、唐璐、思亮、刘方方,SC-a-054-B29,20180727,贵州,2410.2,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262350.jpg,,,,,,,,,, +,Carex setschwanensis,,21,19830714,四川省,0~3400,草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0223741.jpg,,,,,,,,,, +,Carex speciosa subsp. pinetorum,,,,,,,,,,,,,,,,,,, +,Carex staintonii,,,,,,,,,,,,,,,,,,, +砾薹草,Carex stenophylloides,李崇皓,294,19800824,旗疆维吾尔自治区,2400,沼地,,无花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0019284.jpg,,,,,,,,,, +中亚苔草,Carex stenophylloides,何叶琪,2214,19590518,宁夏回族自治区,1500,山地路边,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0389389.jpg,,,,,,,,,, +中亚薹草,Carex stenophylloides,新疆采集队,484,19780615,新疆维吾尔自治区,2120,,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0332883.jpg,,,,,,,,,, +,Carex stipitiutriculata,,,,,,,,,,,,,,,,,,, +草黄苔草,Carex stramentitia,,,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00030281.jpg,,,,,,,,,, +草黄苔草,Carex stramentitia,,64,,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017059.jpg,,,,,,,,,, +草黄苔草,Carex stramentitia,武素功等,55,19951015,云南省,1900~1700,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0367521.jpg,,,,,,,,,, +近蕨薹草,Carex subfilicinoides,李学根,201280,19571224,广东省,1400,,,有花有果,https://image.cvh.ac.cn/files/l/HIB/0137466.jpg,,,,,,,,,, +近蕨薹草,Carex subfilicinoides,刘成、何华杰、黄莉、周明芬,14CS8505,20141106,云南,1483,路边山坡,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1397924.jpg,,,,,,,,,, +近蕨薹草,Carex subfilicinoides,沈泽昊,HXE159,20101001,湖北,600,亚热带常绿阔叶林,草本,,https://image.cvh.ac.cn/files/l/KUN/1397931.jpg,,,,,,,,,, +,Carex tangulashanensis,,,,,,,,,,,,,,,,,,, +,Carex tapintzensis,,,,,,,,,,,,,,,,,,, +,Carex tatsiensis,,,,,,,,,,,,,,,,,,, +长柱头薹草,Carex teinogyna,贺贤育,1882,19551026,浙江省,0,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0653307.jpg,,,,,,,,,, +苔草,Carex teinogyna,李家美,441,20150702,河南,,,,无花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0016419.jpg,,,,,,,,,, +长柱头苔草,Carex teinogyna,J.Murata T.T.Chen et H.Takahashi,15478,19831020,,500~700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01707600.jpg,,,,,,,,,, +,Carex teres,,,,,,,,,,,,,,,,,,, +高节苔草,Carex thomsonii,红水河植物考察队,969,19890506,广西壮族自治区,300,江边沙滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017170.jpg,,,,,,,,,, +高节薹草,Carex thomsonii,吴金清,3021,19970510,湖北省,130,,,无花有果,https://image.cvh.ac.cn/files/l/HIB/0144967.jpg,,,,,,,,,, +高节薹草,Carex thomsonii,余新林,赵玮,BSGLGStc152,20120604,云南,2337,中山湿性常绿阔叶林,草本,,https://image.cvh.ac.cn/files/l/KUN/1397946.jpg,,,,,,,,,, +,Carex tibetikobresia,PE西藏考察队,7370,20180616,西藏自治区,4392,高山草甸、灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333313.jpg,,,,,,,,,, +,Carex tingnungii,,,,,,,,,,,,,,,,,,, +,Carex uncinioides,,,,,,,,,,,,,,,,,,, +,Carex vaginosa,,,,,,,,,,,,,,,,,,, +,Carex vidua,,,,,,,,,,,,,,,,,,, +,Carex wallichiana,,8166,19290428,广西壮族自治区,0~397,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0653039.jpg,,,,,,,,,, +,Carex yadongensis,,,,,,,,,,,,,,,,,,, +,Carex yanchengii,,,,,,,,,,,,,,,,,,, +,Carex yulungshanensis,,,,,,,,,,,,,,,,,,, +,Carex yunlingensis,,,,,,,,,,,,,,,,,,, +,Carex yunnanensis,,,,,,,,,,,,,,,,,,, +,Carex yushuensis,,,,,,,,,,,,,,,,,,, +,Carex zekogensis,,,,,,,,,,,,,,,,,,, +矮天名精,Carpesium humile,植被调查队,3805,19730807,四川省,4100,灌丛木林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01588382.jpg,,,,,,,,,, +矮天名精,Carpesium humile,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01588383.jpg,,,,,,,,,, +矮天名精,Carpesium humile,青藏队,9168,19820809,云南省,1300,河边 沙滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190648.jpg,,,,,,,,,, +高原天名精,Carpesium lipskyi,D.E.Boufford et al.,31562,20040802,西藏自治区,3485~3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912991.jpg,,,,,,,,,, +高原天名精,Carpesium lipskyi,康藏植物考察队,10-0676,20100725,四川省,2983,山谷灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052561.jpg,,,,,,,,,, +高原天名精,Carpesium lipskyi,Anonymous,2688,18910412,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921667.jpg,,,,,,,,,, +松潘鹅耳枥,Carpinus sungpanensis,"何铸,周子林",1315,19520000,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01062160.jpg,,,,,,,,,, +松潘鹅耳枥,Carpinus sungpanensis,Wang Chen-Hwa,702,19400822,陕西省,,in valley,,无花有果,https://image.cvh.ac.cn/files/l/PE/01062156.jpg,,,,,,,,,, +松潘鹅耳枥,Carpinus sungpanensis,黔北队,2854,19590821,贵州省,1220,阳处 灌木丛下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00802545.jpg,,,,,,,,,, +,Caryopteris glutinosa,,,,,,,,,,,,,,,,,,, +,Caryopteris trichosphaera,,,,,,,,,,,,,,,,,,, +鱼尾葵,Caryota maxima,徐有财、王定跃,89347,19891108,广东省,,,乔木,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00088381.jpg,,,,,,,,,, +董棕,Caryota obtusa,胡仁传、农云开、蓝祥春、韦贵元,148-董棕-3-1,20150218,广西壮族自治区,,阔叶林、阳坡、石灰土,一般,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00389156.jpg,,,,,,,,,, +董棕,Caryota obtusa,刘成、何华杰、黄莉、杨忠兰,14CS8578,20141111,云南,1264,村旁路边,乔木,,https://image.cvh.ac.cn/files/l/KUN/1393490.jpg,,,,,,,,,, +,Caryota obtusa,"李渤生,程树志",1684,19821106,西藏自治区,890,半常绿雨林常见乔木,,无花无果,https://image.cvh.ac.cn/files/l/PE/02098162.jpg,,,,,,,,,, +,Cassiope argyrotricha,,,,,,,,,,,,,,,,,,, +,Cassiope nana,,,,,,,,,,,,,,,,,,, +,Cassiope wardii,,,,,,,,,,,,,,,,,,, +,Catabrosa aquatica,王一峰等,94146,19940710,甘肃省,2880,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00402803.jpg,,,,,,,,,, +,Catabrosa aquatica,刘慎谔,15475,19460519,云南省,1900,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00038597.jpg,,,,,,,,,, +沿沟草,Catabrosa aquatica,,22450,1956-04-,新疆省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0103384.jpg,,,,,,,,,, +窄沿沟草,Catabrosa aquatica var. angusta,陈家辉,刘亚辉,周妍,赵艳丽,吴志刚,熊力军,YangYP-Q-2295,20090923,四川,4632,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400530.jpg,,,,,,,,,, +,Catabrosa aquatica var. angusta,青藏队,7305,19750814,西藏自治区,4800,山谷沼泽草甸水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00402813.jpg,,,,,,,,,, +窄沿沟草,Catabrosa aquatica var. angusta,钟补求,504,19580828,青海省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/003476.jpg,,,,,,,,,, +,Catabrosa capusii,杨竞生,91-786,19910801,西藏自治区,,当卡草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00402814.jpg,,,,,,,,,, +长颖沿沟草,Catabrosa capusii,王生新,266,19650520,青海省,2220,水沟边,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00517039.jpg,,,,,,,,,, +藏楸,Catalpa tibetica,冯瑞清,20717,19390615,云南省,0,,乔木 ,有花无果,https://image.cvh.ac.cn/files/l/KUN/0209714.jpg,,,,,,,,,, +,Catalpa tibetica,"Forrest, G.",18950,,,,,,,https://image.cvh.ac.cn/files/l/P/P00689480.jpg,,,,,,,,,, +距药姜,Cautleya gracilis,PE西藏队,PE6331,20170911,西藏自治区,2445,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01891565.jpg,,,,,,,,,, +距药姜,Cautleya gracilis,王启无,78404,19360900,云南省 ,1900,dense forest,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00556349.jpg,,,,,,,,,, +距药姜,Cautleya gracilis,S.K.WU et al.,441,19951016,云南省,1700~1900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010872.jpg,,,,,,,,,, +,Cautleya gracilis var. robusta,,,,,,,,,,,,,,,,,,, +红苞距药姜,Cautleya spicata,"于胜祥,候元同等",4553,20110729,四川省,2336,山坡灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01314808.jpg,,,,,,,,,, +红苞距药姜,Cautleya spicata,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0543,20130807,西藏自治区,2780,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992884.jpg,,,,,,,,,, +红苞距药姜,Cautleya spicata,青藏队,8713,19820727,云南省,2400~2600,Tsuga林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01146722.jpg,,,,,,,,,, +俅江乌蔹莓,Cayratia kiujiangensis,冯国楣,8106,19401001,云南省,1700,山谷沟边,藤本,无花有果,https://image.cvh.ac.cn/files/l/PE/01432695.jpg,,,,,,,,,, +墨脱乌蔹莓,Cayratia medogensis,吉首大学生物资源与环境科学学院,GWJ20170611_0502,20170611,湖南,402,林中,半木质藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU46877.jpg,,,,,,,,,, +雪松属,Cedrus deodara,倪志诚,79301,19801005,西藏,3670,院内栽培,,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0000304.jpg,,,,,,,,,, +雪松,Cedrus deodara,陈美铃,江金奥,1807772,20180709,北京,30,绿化栽培,常绿乔木,无花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00041258.jpg,,,,,,,,,, +雪松,Cedrus deodara,黄小强,853,19840400,江西,840,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF1000469.jpg,,,,,,,,,, +,Celastrus xizangensis,,,,,,,,,,,,,,,,,,, +假淡竹叶,Centotheca lappacea,侯学良,11090879,20110908,江西,,,,有花有果,https://image.cvh.ac.cn/files/l/AU/AU070464.jpg,,,,,,,,,, +假淡竹葉,Centotheca lappacea,海南西队,69,19540408,海南省,,平缓丘陵地砂壤土密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00036989.jpg,,,,,,,,,, +假淡竹叶,Centotheca lappacea,涂铁要、黄向旭、覃明、吴松明、曾求标、潘淑芳、孙争争,TuTY3613,20170301,广东,,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0246685.jpg,,,,,,,,,, +大花头蕊兰,Cephalanthera damasonium,HK kadoorie PT,3500,20000500,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866953.jpg,,,,,,,,,, +大花头蕊兰,Cephalanthera damasonium,St.Stoyanov,s.n.,20050513,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01729956.jpg,,,,,,,,,, +大花头蕊兰,Cephalanthera damasonium,郭永杰、刘成,15CS10420,20150818,云南,2945,石灰岩灌丛山坡,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1393675.jpg,,,,,,,,,, +银兰,Cephalanthera erecta,刘心源,20316,19600531,山西省,1650,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/9688.jpg,,,,,,,,,, +银兰,Cephalanthera erecta,何兴金,李琴琴,赵丽华,郜鹏,SCU-09-581,20090918,四川,2683,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393681.jpg,,,,,,,,,, +银兰,Cephalanthera erecta,钟济新,81618,19360520,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00270899.jpg,,,,,,,,,, +头蕊兰,Cephalanthera longifolia,三峡考察队,1772,20080716,重庆市,1474~1741,阴湿沟边,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01989961.jpg,,,,,,,,,, +头蕊兰,Cephalanthera longifolia,巴山采集队,5087,20110630,四川省,1700,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01873216.jpg,,,,,,,,,, +头蕊兰,Cephalanthera longifolia,任宗昕,蒋伟,张明英,骆洋,王雪芹,WH-2012-0169,20120622,云南,2289,路边,山坡,草本,,https://image.cvh.ac.cn/files/l/KUN/1393682.jpg,,,,,,,,,, +,Cephalantheropsis halconensis,,,,,,,,,,,,,,,,,,, +,Cephalantheropsis longipes,,,,,,,,,,,,,,,,,,, +黄兰,Cephalantheropsis obcordata,何海文;杨锦超,YANGXF0503,20131103,广西省,991,亚热带常绿阔叶林密林,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1393689.jpg,,,,,,,,,, +,Cephalantheropsis obcordata,"刘成, 亚吉东",18CS17150,20181201,西藏,1372,常绿阔叶林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487278.jpg,,,,,,,,,, +,Cephalostachyum latifolium,"李渤生,程树志",4260,19830422,西藏自治区,1700~2200,林中常见藤状灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01645117.jpg,,,,,,,,,, +,Cephalostachyum latifolium,张玉霄,许宇星,周梦媛,12209,20120819,云南省,2063,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1238704.jpg,,,,,,,,,, +,Cephalostachyum mannii,,,,,,,,,,,,,,,,,,, +,Cephalostachyum mishimianum,,,,,,,,,,,,,,,,,,, +,Cephalostachyum pallidum,"李渤生,程树志等",4488,19830504,西藏自治区,1900~2050,常绿阔叶林下丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645103.jpg,,,,,,,,,, +,Cephalostachyum pallidum,薛纪如等,1182,19770914,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644595.jpg,,,,,,,,,, +糯竹,Cephalostachyum pergracile,郭惠珠,严春发,谢德禄,784,20080922,福建,43~201.3,灌丛,,无花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0002737.jpg,,,,,,,,,, +糯竹,Cephalostachyum pergracile,F.A.McClure,181,Dec-40,香港; HONG KONG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00011962.jpg,,,,,,,,,, +糯竹,Cephalostachyum pergracile,H.H.Mowry,,1909-11-,Arizona,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00019866.jpg,,,,,,,,,, +海南粗榧,Cephalotaxus hainanensis,H.Y.Liang,63561,19331101,海南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00165675.jpg,,,,,,,,,, +,Cephalotaxus hainanensis,陈毓彦,10,19760611,海南省,820,天池玢区一组,,无花有果,https://image.cvh.ac.cn/files/l/PE/01578638.jpg,,,,,,,,,, +海南粗榧,Cephalotaxus hainanensis,罗城县普查队,451225131108038LY,20131108,广西壮族自治区,767,阔叶林,沟边,少见,野生,乔木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00375021.jpg,,,,,,,,,, +西双版纳粗榧,Cephalotaxus mannii,黄志,32110,19320419,广东省,,杂木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00013996.jpg,,,,,,,,,, +海南粗榧,Cephalotaxus mannii,李剑武,3265,20130609,云南,1400,常绿阔叶林,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028407.jpg,,,,,,,,,, +西双版纳粗榧,Cephalotaxus mannii,"刘成, 亚吉东",18CS17185,20181113,西藏,1520,路下方陡坡,乔木,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1486731.jpg,,,,,,,,,, +,Cerastium szechuense,,,,,,,,,,,,,,,,,,, +水蕨,Ceratopteris thalictroides,孔世培,0,197007,江西,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0028441.jpg,,,,,,,,,, +水蕨,Ceratopteris thalictroides,东兴市普查队,450681170822017LY,20170822,广西,5,草丛,路旁,水稻土,少野生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00418410.jpg,,,,,,,,,, +水蕨,Ceratopteris thalictroides,黄美雪,473,20080909,台湾省,2100,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01963852.jpg,,,,,,,,,, +小蓝雪花,Ceratostigma minus,D.E.Boufford & B.Bartholomew et al.,36274,20060811,四川省,3125,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101635.jpg,,,,,,,,,, +小蓝雪花,Ceratostigma minus,,2913,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00748850.jpg,,,,,,,,,, +小蓝雪花,Ceratostigma minus,,926,,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0514368.jpg,,,,,,,,,, +叉枝牛角兰,Ceratostylis himalaica,吴磊、金摄狼,D2863,20110720,广西壮族自治区,570,山谷密林,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00218467.jpg,,,,,,,,,, +叉枝牛角兰,Ceratostylis himalaica,Xiaohua Jin,16235,20150810,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233172.jpg,,,,,,,,,, +叉枝牛角兰,Ceratostylis himalaica,生态室高原组,11464,19800729,西藏自治区,1800,附生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376907.jpg,,,,,,,,,, +,Ceratostylis radiata,李剑武,4354,20150718,,520,热带雨林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028911.jpg,,,,,,,,,, +,Ceratostylis siamensis,李剑武,2739,20121029,云南,1800,山地雨林,,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028251.jpg,,,,,,,,,, +管叶牛角兰,Ceratostylis subulata,孙洪范,8006,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00271127.jpg,,,,,,,,,, +管叶牛角兰,Ceratostylis subulata,Jin Xiaohua,10455,20100909,海南省,1100,evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033539.jpg,,,,,,,,,, +管叶牛角兰,Ceratostylis subulata,黄全,820025,19820412,海南省 ,0,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0624944.jpg,,,,,,,,,, +木里吊灯花,Ceropegia muliensis,George Forrest,13117,19140000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01019241.jpg,,,,,,,,,, +木里吊灯花,Ceropegia muliensis,G.Forrest,13117,空,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005623.jpg,,,,,,,,,, +,Ceropegia muliensis,"Forrest, George",13117,14-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00275168.jpg,,,,,,,,,, +狭叶吊灯花,Ceropegia stenophylla,E.H.Wilson,2313,空,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005627.jpg,,,,,,,,,, +狭叶吊灯花,Ceropegia stenophylla,E.H.Wilson,2313,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00029516.jpg,,,,,,,,,, +狭叶吊灯花,Ceropegia stenophylla,张银山,522223150807020 LY,20150807,贵州省,399.6,中生、阳性、中温、野生植物、灌丛、碱土,藤本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0039396.jpg,,,,,,,,,, +马鞍山吊灯花,Ceropegia teniana,俞德浚,7311,19370718,云南省,2300,林边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/307260.jpg,,,,,,,,,, +马鞍山吊灯花,Ceropegia teniana,俞德浚,7319,19370718,四川省,2500,shrub thickets,,有花无果,https://image.cvh.ac.cn/files/l/KUN/307261.jpg,,,,,,,,,, +,Cestichis cespitosa,,,,,,,,,,,,,,,,,,, +,Cestichis pingtaoi,,,,,,,,,,,,,,,,,,, +西藏木瓜,Chaenomeles thibetica,"李渤生,程树志",1040,19820924,西藏自治区,2250,林东岗日嘎布河北岸小山次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075180.jpg,,,,,,,,,, +西藏木瓜,Chaenomeles thibetica,广西队,1202,Dec-55,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0041248.jpg,,,,,,,,,, +西藏木瓜,Chaenomeles thibetica,神农架标本公司,,,湖北省,1700,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0038544.jpg,,,,,,,,,, +滇藏细叶芹,Chaerophyllopsis huai,青藏队,10148,19820908,西藏自治区,3600~3800,山沟灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00724791.jpg,,,,,,,,,, +滇藏细叶芹,Chaerophyllopsis huai,J.F.ROCK,10434,19330800,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/121228215.jpg,,,,,,,,,, +,Chaerophyllopsis huai,"Ducloux, F.",4565,1906/9/26,,,,,,https://image.cvh.ac.cn/files/l/P/P00752730.jpg,,,,,,,,,, +大头叶毛鳞菊,Chaetoseris lyriformis,"覃海宁,张树仁,高天刚等",656,20010907,云南省,3100,山坡草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716947.jpg,,,,,,,,,, +大头叶毛鳞菊,Chaetoseris lyriformis,陈又生,9462,20090817,西藏自治区,3540,灌丛边缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052553.jpg,,,,,,,,,, +,Chaetoseris lyriformis,胡君、王东超、李丽、唐露,SC-a-091-B29,20180814,西藏,,高山栎群落中,草本(幼苗),有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610027.jpg,,,,,,,,,, +大头毛鳞菊,Chaetoseris macrocephala,倪志诚等,2091,19810908,西藏自治区,3900,山坡草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106673.jpg,,,,,,,,,, +大头毛鳞菊,Chaetoseris macrocephala,青藏队补点,751899,19750910,西藏,3600,林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219901.jpg,,,,,,,,,, +栉齿毛鳞菊,Chaetoseris pectiniformis,罗建等,LuoJian-XZ-0931,20091004,西藏自治区,2797,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912854.jpg,,,,,,,,,, +栉齿毛鳞菊,Chaetoseris pectiniformis,王启无,70080,193509,云南省,2700,Ravine,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0047927.jpg,,,,,,,,,, +栉齿毛鳞菊,Chaetoseris pectiniformis,青藏队,74-1917,19740825,西藏,3200,山谷云杉林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0047925.jpg,,,,,,,,,, +四川毛鳞菊,Chaetoseris sichuanensis,李馨/X.Li,78448,19580824,四川省,3640,小沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01842018.jpg,,,,,,,,,, +四川毛鳞菊,Chaetoseris sichuanensis,T.T.Yu,10588,19371025,云南省,3200,山箐路边,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/01106730.jpg,,,,,,,,,, +四川毛鳞菊,Chaetoseris sichuanensis,T.T. Yü (俞德浚),10588,19371025,云南,3200,山箐林边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1219904.jpg,,,,,,,,,, +川滇叠鞘兰,Chamaegastrodia inverta,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191277,20190915,云南,2958,亚热带针叶林,荒坡上,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483438.jpg,,,,,,,,,, +川滇叠鞘兰,Chamaegastrodia inverta,余奇;孙奇,CIBYQ115B001,20200801,四川,2186,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1563854.jpg,,,,,,,,,, +川滇叠鞘兰,Chamaegastrodia inverta,Jin Xiaohua,9400,20081009,云南省,,forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033023.jpg,,,,,,,,,, +叠鞘兰,Chamaegastrodia shikokiana,"倪志诚,汪永泽,次多等",1632,19800911,西藏自治区,2500,山坡杂木林之下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00271148.jpg,,,,,,,,,, +叠鞘兰,Chamaegastrodia shikokiana,俞德俊,7513,19370731,四川省,2800,under woods moist place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00271138.jpg,,,,,,,,,, +鹤庆矮泽芹,Chamaesium delavayi,C.W.Wang,65566,1935/08/,云南,3400,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0047535.jpg,,,,,,,,,, +,Chamaesium delavayi,"Delavay, J.M.",952,1884-8-26,,,,,,https://image.cvh.ac.cn/files/l/P/P00245413.jpg,,,,,,,,,, +无苞矮泽芹,Chamaesium delavayi,,25,19830722,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/068411.jpg,,,,,,,,,, +矮泽芹,Chamaesium paradoxum,陈晓澄等,Chenxc-356,20170908,西藏,4505,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018632.jpg,,,,,,,,,, +矮泽芹,Chamaesium paradoxum,,772,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00931530.jpg,,,,,,,,,, +矮泽芹,Chamaesium paradoxum,"D.E.Boufford,J.H.Chen,K.Fujikawa etc.",33140,20050719,四川省,3640~3670,Mixed forests and adjacent meadows and boggy marshes.Wet meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/01983308.jpg,,,,,,,,,, +松潘矮泽芹,Chamaesium thalictrifolium,青藏队,74-2705,19740920,西藏自治区,4600,山坡灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00724830.jpg,,,,,,,,,, +松潘矮泽芹,Chamaesium thalictrifolium,联大,21665,,云南省 ,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0461484.jpg,,,,,,,,,, +松潘矮泽芹,Chamaesium thalictrifolium,,579,19560730,云南省,4020,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0438172.jpg,,,,,,,,,, +,Cheilanthes brausei,杨永昌,154615,19650826,青海省,3550,峡谷边缝柏树下较湿处,,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0261998.jpg,,,,,,,,,, +滇西旱蕨,Cheilanthes brausei,韦宏金,JSL6889,20190331,云南,~1600,附生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00432018.jpg,,,,,,,,,, +,Cheilanthes hancockii,"朱鑫鑫, 林庶, 胡梦杰",ZXX191234,20190912,云南,2855,亚热带针叶林,路边荒坡,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1486275.jpg,,,,,,,,,, +大理碎米蕨,Cheilanthes hancockii,郭晓思,2476,1991/11/4,四川省,3100,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0503285.jpg,,,,,,,,,, +大理群类蕨,Cheilanthes hancockii,W.Hancock,,18930500,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871224.jpg,,,,,,,,,, +,Cheilanthes insignis,彭玉兰、张君议、杨焰,THP-KD-1795,20170712,四川,3349~3382,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253231.jpg,,,,,,,,,, +,Cheilanthes insignis,武素功等,WS-1890,20081205,,400~500,in secondary broad-leaved evergreen forest,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1225784.jpg,,,,,,,,,, +,Cheilanthes insignis,王作宾,15085,1951/10/11,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0066683.jpg,,,,,,,,,, +,Cheilanthes nitidula,"朱鑫鑫, 王君, 林庶, 梁俊生, 方东升",ZXX19763,20190712,湖北,760,亚热带针阔混交林,山坡岩石上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1486369.jpg,,,,,,,,,, +旱蕨,Cheilanthes nitidula,商辉、刘红梅、刘恩旭,SG373,20140921,甘肃省,,土生,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0039123.jpg,,,,,,,,,, +旱蕨,Cheilanthes nitidula,严岳鸿、金摄郎、舒江平,JSL5103,20170423,福建,712.5,路边岩壁上,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0138854.jpg,,,,,,,,,, +禾秆旱蕨,Cheilanthes tibetica,PE西藏队,PE5200,20170826,西藏自治区,4270,林下灌层,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01891706.jpg,,,,,,,,,, +禾杆旱蕨,Cheilanthes tibetica,葛斌杰、钟鑫、黄艳波、王琦,GBJ06226,20170809,西藏,3966,高原草甸,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0144415.jpg,,,,,,,,,, +,Cheirostylis chinensis,殷建涛,107,20030318,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/106277.jpg,,,,,,,,,, +中华叉柱兰,Cheirostylis chinensis,苏享修,CSH23234,20170315,福建省,267.492,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0138458.jpg,,,,,,,,,, +中华叉柱兰,Cheirostylis chinensis,黄江华,3,19980307,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033469.jpg,,,,,,,,,, +大花叉柱兰,Cheirostylis griffithii,吉占和,92-055,19920318,云南省,1600,林中,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00851415.jpg,,,,,,,,,, +,Cheirostylis gunnarii,,,,,,,,,,,,,,,,,,, +扁茎叉柱兰,Cheirostylis moniliformis,张挺;亚吉东;徐奇,21CS20712,20210305,云南,1218,石灰山,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1554897.jpg,,,,,,,,,, +,Cheirostylis sessanica,,,,,,,,,,,,,,,,,,, +,Cheirostylis tippica,,,,,,,,,,,,,,,,,,, +云南叉柱兰,Cheirostylis yunnanensis,Y.M.Shui et al.,12181,20000327,云南省,100,nearby the river,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033570.jpg,,,,,,,,,, +云南叉柱兰,Cheirostylis yunnanensis,黔南队,681,19590406,贵州省,500,山谷 水旁 阳处 岩石上 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01594237.jpg,,,,,,,,,, +云南叉柱兰,Cheirostylis yunnanensis,吴磊、陈丰林,6453,20180510,贵州,1200,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI064515.jpg,,,,,,,,,, +,Chelonopsis albiflora,,,,,,,,,,,,,,,,,,, +,Chelonopsis bracteata,,,,,,,,,,,,,,,,,,, +,Chelonopsis pseudobracteata,,,,,,,,,,,,,,,,,,, +,Chelonopsis souliei,,,,,,,,,,,,,,,,,,, +,Chesneya polystichoides,,,,,,,,,,,,,,,,,,, +,Chesneya spinosa,,,,,,,,,,,,,,,,,,, +,Chiloschista densiflora,,,,,,,,,,,,,,,,,,, +,Chiloschista parishii,,,,,,,,,,,,,,,,,,, +异型兰,Chiloschista yunnanensis,李剑武,3077,20130504,云南,1900,常绿阔叶林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028347.jpg,,,,,,,,,, +异型兰,Chiloschista yunnanensis,吕惠珍、黄雪彦、岑海锋、李金花,451425150425049LY,20150425,广西,520,阔叶林,树上,石灰土,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0185319.jpg,,,,,,,,,, +,Chiloschista yunnanensis,A. Henry,11792A,,,,,,,https://image.cvh.ac.cn/files/l/HUH/AMES00106704.jpg,,,,,,,,,, +缅甸方竹,Chimonobambusa armata,辉朝茂,88107,19881213,云南省,1500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644507.jpg,,,,,,,,,, +缅甸方竹,Chimonobambusa armata,生态室高原组,11004,19800708,西藏自治区,850,林间,,无花有果,https://image.cvh.ac.cn/files/l/PE/01606134.jpg,,,,,,,,,, +,Chimonobambusa arunachalensis,,,,,,,,,,,,,,,,,,, +,Chimonobambusa callosa,,,,,,,,,,,,,,,,,,, +,Chimonobambusa jainii,,,,,,,,,,,,,,,,,,, +,Chimonobambusa metuoensis,"李渤生,程树志",807,19820911,西藏自治区,2450,常绿阔叶林中灌木优势种,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091098.jpg,,,,,,,,,, +,Chimonobambusa purpurea,青藏队,8912,19820807,云南省,7100,山坡常绿阔叶林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01512121.jpg,,,,,,,,,, +,Chimonobambusa purpurea,川黔队,738,19560627,重庆市,750,密林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01512119.jpg,,,,,,,,,, +,Chimonobambusa purpurea,Zhang,840377,19860922,四川省,850~900,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644616.jpg,,,,,,,,,, +香竹,Chimonocalamus delicatus,"程树志,李渤生",232,19820818,西藏自治区,,常绿阔叶林下优势灌木层,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645162.jpg,,,,,,,,,, +香竹,Chimonocalamus delicatus,Cai Zhaoming etc.,CZM045,20100728,云南省,1737,slope,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1228648.jpg,,,,,,,,,, +香竹,Chimonocalamus delicatus,,853,,,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/019006033.jpg,,,,,,,,,, +,Chimonocalamus griffithianus,Yang Hongmei etc.,NP27,20090912,云南省,1940,slope,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1228646.jpg,,,,,,,,,, +,Chimonocalamus griffithianus,Jin Xiaohua etc.,STET1758,20100731,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1228740.jpg,,,,,,,,,, +灰香竹,Chimonocalamus pallens,"程树志,李渤生",807,19820911,西藏自治区,2450,常绿阔叶林中 灌木优势种,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645163.jpg,,,,,,,,,, +灰香竹,Chimonocalamus pallens,,82-0007,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644504.jpg,,,,,,,,,, +灰香竹,Chimonocalamus pallens,张玉霄,罗亚皇,李苗苗,12241,20120915,云南省 ,2017,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1238748.jpg,,,,,,,,,, +西藏香竹,Chimonocalamus tortuosus,"李渤生,程树志",3330,19821208,西藏自治区,2100,林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645158.jpg,,,,,,,,,, +西藏香竹,Chimonocalamus tortuosus,易同培,77179,19770815,,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/019006138.jpg,,,,,,,,,, +,Chirita infundibuliformis,,,,,,,,,,,,,,,,,,, +,Chloranthus erectus,秦仁昌,6450,19280723,广西壮族自治区,567,in thickets by stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/00774464.jpg,,,,,,,,,, +鱼子兰,Chloranthus erectus,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11964,20161117,西藏,778,路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445148.jpg,,,,,,,,,, +鱼子兰,Chloranthus erectus,环江县普查队,451226130723002LY,20130723,广西,677,阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0112381.jpg,,,,,,,,,, +,Chloranthus spicatus,陈倬,,195709,山东,,,,有花无果,https://image.cvh.ac.cn/files/l/JSPC/JSPC106810.jpg,,,,,,,,,, +金粟兰,Chloranthus spicatus,金佛山考察队,835,19860603,重庆市,650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00775168.jpg,,,,,,,,,, +金粟兰,Chloranthus spicatus,喻勋林,91795,19910824,湖南省,1020,沟谷林下,草本,无花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI043749.jpg,,,,,,,,,, +虎尾草,Chloris virgata,于景华,于景华359,20160714,辽宁,438.9 米,羊胡子苔草虎榛子群落、温性草原类、丘陵,,无花有果,https://image.cvh.ac.cn/files/l/IFP/IFP0258337.jpg,,,,,,,,,, +虎尾草,Chloris virgata,"陈昌笃,王金亭,董惠民",20791,19520901,江苏省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01566536.jpg,,,,,,,,,, +虎尾草,Chloris virgata,杨学军,HuangZY0246,20080822,内蒙古,1296,灌木荒漠,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400557.jpg,,,,,,,,,, +,Chlorophytum arundinaceum,,4377,19180600,,0~2000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0620873.jpg,,,,,,,,,, +狭叶吊兰,Chlorophytum chinense,T.T.Yu,12937,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00111352.jpg,,,,,,,,,, +狭叶吊兰,Chlorophytum chinense,四川省植被调查队,2104,19730712,四川省,3000,生于向阳干燥山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00111344.jpg,,,,,,,,,, +狭叶吊兰,Chlorophytum chinense,张挺,刘成,郭永杰等,09CS1330,20090718,云南,2308,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391698.jpg,,,,,,,,,, +,Chlorophytum nepalense,胡君、王东超、李丽、刘晓芬、李永龙、唐璐、思亮、刘方方,SC-a-055-B20,20180727,贵州,2384,高山栎群落中,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0290055.jpg,,,,,,,,,, +西南吊兰,Chlorophytum nepalense,Hand.- Mazz.,7573,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00020842.jpg,,,,,,,,,, +西南吊兰,Chlorophytum nepalense,M.K.Li,1708,19390602,云南省 ,0~1080,,herb.,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0620940.jpg,,,,,,,,,, +塔什离子芥,Chorispora tashkorganica,B.Bartholomew et al.,8369,20010630,新疆维吾尔自治区,4100,Growing on open gentle slopes,,有花有果,https://image.cvh.ac.cn/files/l/PE/01005195.jpg,,,,,,,,,, +,Christensenia aesculifolia,,6739,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01623203.jpg,,,,,,,,,, +天星蕨,Christensenia aesculifolia,蔡磊;张品;杨佳俊;李云猛,KIBCL007,20171124,云南,456,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1560526.jpg,,,,,,,,,, +,Christolea niyaensis,,,,,,,,,,,,,,,,,,, +,Chrysoglossum assamicum,"李渤生,程树志",2702,19830125,西藏自治区,1600,常绿阔叶林下偶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01376923.jpg,,,,,,,,,, +,Chrysoglossum assamicum,,51507,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00271399.jpg,,,,,,,,,, +,Chrysoglossum assamicum,黄志,39101,19360425,广西壮族自治区,,近滴水峭壁处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00271398.jpg,,,,,,,,,, +金唇兰,Chrysoglossum ornatum,Jin Xiaohua,11874,20121102,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033191.jpg,,,,,,,,,, +金唇兰,Chrysoglossum ornatum,孙洪范,2262,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00271201.jpg,,,,,,,,,, +金唇兰,Chrysoglossum ornatum,十万大山采集队,1915,20100319,广西壮族自治区,390,山谷密林,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00234887.jpg,,,,,,,,,, +竹节草,Chrysopogon aciculatus,R.C.Ching,5516,1928/5/5,广西; Guangxi,1200,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00003315.jpg,,,,,,,,,, +竹节草,Chrysopogon aciculatus,北京队,890555,19890429,广西壮族自治区,,路边早生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981199.jpg,,,,,,,,,, +竹节草,Chrysopogon aciculatus,To and Ts'ang,12821,1924/7/7,广东; Guangdong,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00003316.jpg,,,,,,,,,, +,Chrysopogon fulvus,,,,,,,,,,,,,,,,,,, +,Chrysopogon serrulatus,J.F.Duthie,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0103707.jpg,,,,,,,,,, +香根草,Chrysopogon zizanioides,刘正宇、张军等,RQHZ06354,20141209,重庆,563,荒地,草本,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0129172.jpg,,,,,,,,,, +香根草,Chrysopogon zizanioides,张帆,11741,20031201,广东省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00040660.jpg,,,,,,,,,, +蔽果金腰,Chrysosplenium absconditicapsulum,肖培根,1566,19650720,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029277.jpg,,,,,,,,,, +褐点猫眼草,Chrysosplenium fuscopuncticulosum,T.T.Yu,8694,19370621,云南省,3600,mt.on rocks,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/01121089.jpg,,,,,,,,,, +褐点猫眼草,Chrysosplenium fuscopuncticulosum,姜恕等,5144,19610612,四川省,4050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01121086.jpg,,,,,,,,,, +理县金腰,Chrysosplenium lixianense,"何铸,周子林",s.n,19520000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00861933.jpg,,,,,,,,,, +理县金腰,Chrysosplenium lixianense,调查队 ,660016,19660304,江西省,800,沟谷路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00861934.jpg,,,,,,,,,, +理县金腰,Chrysosplenium lixianense,石花花,69,20150420,贵州,1100,,,有花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0007316.jpg,,,,,,,,,, +鸦跖花金腰,Chrysosplenium oxygraphoides,刘继孟,10046,1951/7/19,甘肃省,1550,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0032858.jpg,,,,,,,,,, +鸦跖花金腰,Chrysosplenium oxygraphoides,付筱,雷嘉卿,周雨阳,LJQ-A-012-012,20200921,四川,3408,路边,阴生,无花无果,https://image.cvh.ac.cn/files/l/SZ/02065758.jpg,,,,,,,,,, +西康金腰,Chrysosplenium sikangense,Feng,7779,19400915,云南省,3700~3800,岩坡上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00861955.jpg,,,,,,,,,, +金毛狗,Cibotium barometz,张代贵,150811060,20150811,江西萍乡,,林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU66253.jpg,,,,,,,,,, +金毛狗,Cibotium barometz,D.E.Boufford & S.H.Shi,30388,20021206,广东省,300~400,Broadleaved evergreen forest on slopes,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01938864.jpg,,,,,,,,,, +金毛狗,Cibotium barometz,郭治友,7516,20151006,贵州省,500,路边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02051902.jpg,,,,,,,,,, +川甘岩参,Cicerbita roborowskii,朱鑫鑫、陈彬、沈彬、宋以刚,CSH06778,20140730,四川,3341.13,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0018165.jpg,,,,,,,,,, +青甘岩参,Cicerbita roborowskii,H.B.G,92,19930721,青海省,3250,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0212770.jpg,,,,,,,,,, +青甘岩参,Cicerbita roborowskii,西藏中草药普查队,1555,19720827,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/31000.jpg,,,,,,,,,, +钝叶桂,Cinnamomum bejolghota,何全华,1724,19580707,陕西省,800,"阴湿处,野生",,有花无果,https://image.cvh.ac.cn/files/l/PE/00189153.jpg,,,,,,,,,, +钝叶桂,Cinnamomum bejolghota,大瑶山综考队,10937,1981-09-,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0045586.jpg,,,,,,,,,, +钝叶桂,Cinnamomum bejolghota,F.A.McClure,3166,,海南; HAINAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00009783.jpg,,,,,,,,,, +樟,Cinnamomum camphora,H.H.Chung,7279,1926/6/6,福建; FUKIEN,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00009906.jpg,,,,,,,,,, +樟,Cinnamomum camphora,侯元同,11418,20110519,山东省,20,路边,,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0003904.jpg,,,,,,,,,, +樟,Cinnamomum camphora,简焯坡等,401117,19640815,福建省,550,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01568722.jpg,,,,,,,,,, +,Cinnamomum contractum,,,,,,,,,,,,,,,,,,, +云南樟,Cinnamomum glanduliferum,"李明红,旷月秋",903,20030517,湖南省,420,山坡红壤,,有花无果,https://image.cvh.ac.cn/files/l/PE/00698407.jpg,,,,,,,,,, +云南樟,Cinnamomum glanduliferum,,,,江西,,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2002251.jpg,,,,,,,,,, +云南樟,Cinnamomum glanduliferum,王从荣,216,19931010,湖北省,700,路边,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01520029.jpg,,,,,,,,,, +大叶桂,Cinnamomum iners,Neth. Ind. For. Service.,Ja. 2613,1933/5/5,Midden Java,780,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00067303.jpg,,,,,,,,,, +大叶桂,Cinnamomum iners,G. Edano,,29-May,Palawan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00067246.jpg,,,,,,,,,, +大叶桂,Cinnamomum iners,刘正宇、张军等,S-2168,20170608,重庆,787,林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0052083.jpg,,,,,,,,,, +,Cinnamomum lohitensis,,,,,,,,,,,,,,,,,,, +少花桂,Cinnamomum pauciflorum,杨文光,DT6608,20190420,云南,290,,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512827.jpg,,,,,,,,,, +少花桂,Cinnamomum pauciflorum,杨光辉,59953,19581024,重庆市,1300,沟边林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00294004.jpg,,,,,,,,,, +少花桂,Cinnamomum pauciflorum,H.T.Tsai,52307,19320622,云南省 ,1800,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00078180.jpg,,,,,,,,,, +,Cinnamomum sanjappae,,,,,,,,,,,,,,,,,,, +香桂,Cinnamomum subavenium,罗林波,338,19941001,湖南省,1200,阳坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01901108.jpg,,,,,,,,,, +细叶香桂,Cinnamomum subavenium,黄全,1241,19581031,海南,1260,山顶,,无花无果,https://image.cvh.ac.cn/files/l/NFP/NFP0000496.jpg,,,,,,,,,, +香桂,Cinnamomum subavenium,李启瑞,52263120180927112LY,20180927,贵州,464,针阔叶混交林、中生、阳性、中温、沙土、野生植物,灌木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0100399.jpg,,,,,,,,,, +柴桂,Cinnamomum tamala,赖菡,C500044,20190321,云南,570,林缘,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030712.jpg,,,,,,,,,, +三条筋树,Cinnamomum tamala,航调队专业组,282,195907,江西,,毛竹林内,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00010655.jpg,,,,,,,,,, +柴桂,Cinnamomum tamala,,244,19730627,西藏自治区,2100,常绿阔叶林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046621.jpg,,,,,,,,,, +川桂,Cinnamomum wilsonii,Wilson,2003,空,湖北,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0000151.jpg,,,,,,,,,, +川桂,Cinnamomum wilsonii,,92046,19920403,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01815842.jpg,,,,,,,,,, +川桂,Cinnamomum wilsonii,廖文波、赵万义、杨文晟,LXP13-5466,20140410,湖南省株洲市,,山坡、腐殖土、疏林、偶见种,乔木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00175948.jpg,,,,,,,,,, +,Cionisaccus procera,,,,,,,,,,,,,,,,,,, +骆骑,Cirsium handelii,俞德浚,19635,19380805,云南省 ,2500,"Mt.slope,sunny & grassy place",草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0048282.jpg,,,,,,,,,, +,Cirsium handelii,"亚吉东, 胡枭剑",15CS11026,20150528,四川,,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1376064.jpg,,,,,,,,,, +骆骑,Cirsium handelii,"张树仁,陈淑荣,朗校安等",1900,20140613,四川省,1400~1600,山坡 林下 沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021175.jpg,,,,,,,,,, +木里蓟,Cirsium muliense,T.T.Yu,14749,19371106,四川省,3200,燥地 草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00456380.jpg,,,,,,,,,, +,Cirsium muliense,"Yü, Tse-tsun",14749,6-Nov-37,,,,,,https://image.cvh.ac.cn/files/l/E/E00383875.jpg,,,,,,,,,, +木里蓟,Cirsium muliense,T. T. Yu(俞德浚),14749,19371106,四川,3200,Mt. grassy slope,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0048536.jpg,,,,,,,,,, +川蓟,Cirsium periacanthaceum,D.E.Boufford et al,38430,20070728,四川省,2900~3000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01912897.jpg,,,,,,,,,, +川蓟,Cirsium periacanthaceum,,76(21),19810810,云南省,3260,宽谷草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00552529.jpg,,,,,,,,,, +大蓟,Cirsium periacanthaceum,彭玉兰、余奇、李林霖,THP-KD-1636,20170621,四川,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0240902.jpg,,,,,,,,,, +钻苞蓟,Cirsium subulariforme,X.H.Jin et al.,DLJ-ET 1468,20080710,西藏自治区,,conifer forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908028.jpg,,,,,,,,,, +钻苞蓟,Cirsium subulariforme,T.T.Yu,19573,19370802,云南省,2200~2500,mt.slope open grassy place,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607964.jpg,,,,,,,,,, +,Cirsium subulariforme,"张挺, 刘成, 亚吉东",18CS17637,20180914,西藏,3119,林缘路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483569.jpg,,,,,,,,,, +,Cirsium tibeticum,"倪志诚,次多,次旦",2960,19820816,西藏自治区,2900,河谷阶地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834992.jpg,,,,,,,,,, +,Cirsium tibeticum,姚淦,2391,19891030,江苏省,1950,林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00002813.jpg,,,,,,,,,, +,Cladium mariscus,,,19511125,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102252.jpg,,,,,,,,,, +,Cladium mariscus,村松七郎; S.Muramatsa,2046,1935/8/8,Kiushiu: Ambo ins. Y,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00018109.jpg,,,,,,,,,, +克拉莎,Cladium mariscus,易富科,348,19800902,旗疆维吾尔自治区,,沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0019418.jpg,,,,,,,,,, +毛叶黄皮,Clausena vestita,邓朝义,88116,19880404,贵州省,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0516453.jpg,,,,,,,,,, +毛叶黄皮,Clausena vestita,俞绍文,张启泰,257,19810517,云南省,1700,干旱河谷边,小乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0516450.jpg,,,,,,,,,, +,Claytosmunda claytoniana,,,,,,,,,,,,,,,,,,, +,Cleisocentron pallens,,,,,,,,,,,,,,,,,,, +,Cleisostoma appendiculatum,,,,,,,,,,,,,,,,,,, +,Cleisostoma aspersum,,,,,,,,,,,,,,,,,,, +,Cleisostoma discolor,,,,,,,,,,,,,,,,,,, +金塔隔距兰,Cleisostoma filiforme,王启无,74773,19360600,云南省 ,0~1030,,Adnate pendulos,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0625001.jpg,,,,,,,,,, +金塔隔距兰,Cleisostoma filiforme,陈少卿,13289,19570801,广西壮族自治区,0~450,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625005.jpg,,,,,,,,,, +,Cleisostoma filiforme,,44006,,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00851173.jpg,,,,,,,,,, +,Cleisostoma linearilobatum,HK kadoorie PT,670,20020518,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866960.jpg,,,,,,,,,, +隔距兰,Cleisostoma linearilobatum,周仕顺,14848,20180109,云南,1200,石灰山林中,草本,无花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026453.jpg,,,,,,,,,, +,Cleisostoma medogense,,,,,,,,,,,,,,,,,,, +大序隔距兰,Cleisostoma paniculatum,赵运林,764694,19871127,湖南省,650,山地,山谷,密林,石上或树上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00271261.jpg,,,,,,,,,, +大序隔距兰,Cleisostoma paniculatum,"张挺, 蔡杰",15CS10949,20150825,海南,559,河谷岸边林缘,附生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445787.jpg,,,,,,,,,, +大序隔距兰,Cleisostoma paniculatum,郭汉身,93,19730514,浙江省,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ052367.jpg,,,,,,,,,, +大叶隔距兰,Cleisostoma racemiferum,HK kadoorie teaus,2415,20011100,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01644301.jpg,,,,,,,,,, +大叶隔距兰,Cleisostoma racemiferum,沐先运,1152,20120719,贵州省,,山坡,附生草本,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00077019.jpg,,,,,,,,,, +大叶隔距兰,Cleisostoma racemiferum,邬文祥,8957,19900722,江苏省,,温室栽培,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585643.jpg,,,,,,,,,, +广东隔距兰,Cleisostoma simondii,海南工作站,1953,19600707,海南省 ,0~495,,草本匍匐,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625092.jpg,,,,,,,,,, +毛柱隔距兰,Cleisostoma simondii,刘演、许为斌,52,20060910,广西壮族自治区,700,石灰岩山坡阔叶林,草本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00223336.jpg,,,,,,,,,, +,Cleisostoma simondii,张维柱,135,19890906,云南省,680,石灰山 树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01517219.jpg,,,,,,,,,, +短序隔距兰,Cleisostoma striatum,Tsang Fung,311,1929/7/7,海南; Hainan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00096829.jpg,,,,,,,,,, +,Cleisostoma striatum,中植联广西队,1603,20080626,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033330.jpg,,,,,,,,,, +,Cleisostoma striatum,税玉民等,32184,20030620,云南省,1600,on limestone summit,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033249.jpg,,,,,,,,,, +,Cleisostoma subulatum,,,,,,,,,,,,,,,,,,, +,Cleisostoma tricallosum,,,,,,,,,,,,,,,,,,, +,Cleisostoma williamsonii,金效华,102,20000505,贵州省,1300,石灰岩山,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866765.jpg,,,,,,,,,, +红花隔距兰,Cleisostoma williamsonii,李荫昆,P.01017,1957/4/26,广西,,,草本上升,无花无果,https://image.cvh.ac.cn/files/l/WUK/0259991.jpg,,,,,,,,,, +,Cleisostoma williamsonii,"侯,王,陈,赵",15349,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00271395.jpg,,,,,,,,,, +,Cleisostomopsis roseus,,,,,,,,,,,,,,,,,,, +尾尖铁线莲,Clematis caudigera,李勃生/B.S.Li,11741,19880625,新疆维吾尔自治区,3700,山坡 沟谷中 石内局部成方,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029899.jpg,,,,,,,,,, +角萼铁线莲,Clematis corniculata,郑度,K102,19870901,新疆维吾尔自治区,2800,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00402567.jpg,,,,,,,,,, +银叶铁线莲,Clematis delavayi,Q.E.Yang and Q.Yuan,152,20030914,云南省,1700,scrub on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350217.jpg,,,,,,,,,, +银叶铁线莲,Clematis delavayi,J.F. Rock,17824,24-Jul,四川; SZECHWAN,3080,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00053709.jpg,,,,,,,,,, +刺铁线莲,Clematis delavayi,J.F.Rock,23242,19320506,西藏,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/274308.jpg,,,,,,,,,, +薄叶铁线莲,Clematis gracilifolia,T.P.Wang,87741,19370513,陕西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00180266.jpg,,,,,,,,,, +薄叶铁线莲,Clematis gracilifolia,何兴金,胡灏禹,沈呈娟,万娟,SCU-11-476,20110909,四川,4036,边坡,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231995.jpg,,,,,,,,,, +薄叶铁线莲,Clematis gracilifolia,罗建,汪书丽,LiuJQ-08XZ-220,20080806,西藏,2990,田边灌丛,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231991.jpg,,,,,,,,,, +,Clematis jialasaensis,PE-古蔺考察队,89,20100529,四川省,850~930,林缘沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01864435.jpg,,,,,,,,,, +加拉萨铁线莲,Clematis jialasaensis,倪志诚/Ni Zhi-cheng,73,19830418,西藏自治区,2100,河谷 常绿阔叶林缘,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029908.jpg,,,,,,,,,, +,Clematis jialasaensis,"Ducloux, F.",2021,1901/4/15,,,,,,https://image.cvh.ac.cn/files/l/P/P00130287.jpg,,,,,,,,,, +,Clematis metuoensis,,,,,,,,,,,,,,,,,,, +片马铁线莲,Clematis pianmaensis,湘西植物调查队,11094,19800920,云南省,2200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934739.jpg,,,,,,,,,, +片马铁线莲,Clematis pianmaensis,荔波队,81-6-0012,19810709,贵州省,600,"路旁,山坡,灌木丛中",,有花无果,https://image.cvh.ac.cn/files/l/PE/00419772.jpg,,,,,,,,,, +西南铁线莲,Clematis pseudopogonandra,"关克俭,王文采等",806,19630720,四川省,3500,山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01573272.jpg,,,,,,,,,, +西南铁线莲,Clematis pseudopogonandra,罗建等,LuoJian-XZ-0935,20091010,西藏自治区,3492,林缘灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898401.jpg,,,,,,,,,, +,Clematis pseudopogonandra,"亚吉东, 陈智发, 刘德团, 陈小灵, 王卫臣",LJBG0045,20141012,云南,2142,路边,岩石上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1451961.jpg,,,,,,,,,, +丽叶铁线莲,Clematis venusta,K.M.Feng,4134,19400526,云南省,2700,沟边 灌丛中,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934752.jpg,,,,,,,,,, +丽叶铁线莲,Clematis venusta,黄楷,黄治平,罗正远,朱树平,刘维馨,309,1930/6/4,四川省,,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0316520.jpg,,,,,,,,,, +丽叶铁线莲,Clematis venusta,方震东,12月20日,20000604,云南,,,藤本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008936.jpg,,,,,,,,,, +,Clematis viridis,李馨/S.Li,71434,19570611,四川省,2750,,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00934753.jpg,,,,,,,,,, +,Clematis viridis,青藏队植被组,9842,19760827,西藏自治区,3100,阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00387534.jpg,,,,,,,,,, +,Clematis viridis,"T.N.Ho,B.Bartholomew,M.Watson and M.Gilbert",1907,19960816,青海省,3400,"Open dry rocky slopes with sparse shrubs,lower slopes cultivated",,有花无果,https://image.cvh.ac.cn/files/l/PE/00387523.jpg,,,,,,,,,, +俞氏铁线莲,Clematis yui,Gaoligong Shan Biodiversity Survey,21628,20041028,云南省,1720,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01659258.jpg,,,,,,,,,, +俞氏铁线莲,Clematis yui,W.L.Cheng,1283,19941104,西藏自治区,2150,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00183199.jpg,,,,,,,,,, +,Clematis yui,T. T. Yu,21007,1938/11/9,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00057568.jpg,,,,,,,,,, +扎达铁线莲,Clematis zandaensis,青藏队 植被组,12914,19760630,西藏自治区,3500,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00387571.jpg,,,,,,,,,, +扎达铁线莲,Clematis zandaensis,青藏队,76-8160,19760702,西藏,,山坡林下,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0681888.jpg,,,,,,,,,, +,Clerodendrum tibetanum,,,,,,,,,,,,,,,,,,, +,Clinopodium discolor,,,,,,,,,,,,,,,,,,, +,Clintonia udensis,BNU,LPS135,20120727,宁夏,2500,林下,草本,,https://image.cvh.ac.cn/files/l/BNU/0012873.jpg,,,,,,,,,, +七筋姑,Clintonia udensis,Tang Ling Yu,s.n.,19860530,江苏省,800,桦木林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01867772.jpg,,,,,,,,,, +,Clintonia udensis,Y.Liu,11332,193508,河北,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0049918.jpg,,,,,,,,,, +,Cochlianthus montanus,,,,,,,,,,,,,,,,,,, +椰子,Cocos nucifera,,s.n.,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01437961.jpg,,,,,,,,,, +椰子,Cocos nucifera,郭永杰、胡枭剑、黄孝舸,14CS8145,20140325,云南,565,植物园,乔木,,https://image.cvh.ac.cn/files/l/KUN/1393493.jpg,,,,,,,,,, +椰子,Cocos nucifera,无,无,19590600,广西,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00001651.jpg,,,,,,,,,, +,Codonopsis alpina,,,,,,,,,,,,,,,,,,, +,Codonopsis bulleyana,,,,,,,,,,,,,,,,,,, +,Codonopsis canescens,,,,,,,,,,,,,,,,,,, +,Codonopsis chimiliensis,,,,,,,,,,,,,,,,,,, +,Codonopsis chlorocodon,,,,,,,,,,,,,,,,,,, +,Codonopsis cordifolioidea,,,,,,,,,,,,,,,,,,, +,Codonopsis gombalana,,,,,,,,,,,,,,,,,,, +,Codonopsis hirsuta,,,,,,,,,,,,,,,,,,, +,Codonopsis levicalyx,,,,,,,,,,,,,,,,,,, +,Codonopsis meleagris,,,,,,,,,,,,,,,,,,, +,Codonopsis pianmaensis,,,,,,,,,,,,,,,,,,, +,Codonopsis rosulata,,,,,,,,,,,,,,,,,,, +,Codonopsis subglobosa,,,,,,,,,,,,,,,,,,, +,Codonopsis subscaposa,,,,,,,,,,,,,,,,,,, +,Coelogyne assamica,金效华,8559,20061022,云南省,1418,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01825104.jpg,,,,,,,,,, +云南贝母兰,Coelogyne assamica,李剑武,4587,20161124,云南,1720,常绿阔叶林,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029064.jpg,,,,,,,,,, +云南贝母兰,Coelogyne assamica,金效华,李剑武,王喜龙,王程旺,19293,20171115,西藏,728,半常绿阔叶林,附生植物,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030529.jpg,,,,,,,,,, +鬞毛贝母兰,Coelogyne barbata,金效华,X.H.Jin-S-446,20091107,云南,1200,常绿阔叶林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393800.jpg,,,,,,,,,, +髯毛贝母兰,Coelogyne barbata,陈善墉 何铸 钟明芳等,10457,19580625,四川省,,山坡岩上,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00557444.jpg,,,,,,,,,, +髯毛贝母兰,Coelogyne barbata,王启无,72794,19360300,云南省 ,0~1000,,tree bark,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625266.jpg,,,,,,,,,, +滇西贝母兰,Coelogyne calcicola,刘道庆,1,20000525,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01681819.jpg,,,,,,,,,, +滇西贝母兰,Coelogyne calcicola,A.F.G.Kerr,564,19980502,云南省,1465,growing on the rock,,有花有果,https://image.cvh.ac.cn/files/l/PE/01595409.jpg,,,,,,,,,, +眼斑贝母兰,Coelogyne corymbosa,A. Henry,11114,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028322.jpg,,,,,,,,,, +眼斑贝母兰,Coelogyne corymbosa,金效华,8313,20060730,云南省,2551,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01825107.jpg,,,,,,,,,, +眼斑贝母兰,Coelogyne corymbosa,刘成,张挺,张书东,13CS6530,20130531,西藏,2660,云杉针叶林林缘路边,腐生草本,,https://image.cvh.ac.cn/files/l/KUN/1393708.jpg,,,,,,,,,, +贝母兰,Coelogyne cristata,邬文祥,8869,19900404,江苏省,,温室盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585619.jpg,,,,,,,,,, +贝母兰,Coelogyne cristata,刀志灵;蔡磊;杨静;张品;杨佳俊;姚刚;孙卫邦,KIBDZL046B14,20171008,西藏,1772,潮湿,青冈阔叶林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1561783.jpg,,,,,,,,,, +贝母兰,Coelogyne cristata,"张永田,郞楷永",3405,19660506,西藏自治区,1700,山坡林中附生石头上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00805515.jpg,,,,,,,,,, +流苏贝母兰,Coelogyne fimbriata,邓良,2741,19561020,中国海南陵水县南桥区石梅乡钢铁岭,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/050833.jpg,,,,,,,,,, +流苏贝母兰,Coelogyne fimbriata,Xiaohua Jin et Zhanghai Li,16568,20150816,云南省,1200~800,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233121.jpg,,,,,,,,,, +流苏贝母兰,Coelogyne fimbriata,林来官,6878,19870908,福建省,800,沟谷,石壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00271507.jpg,,,,,,,,,, +栗鳞贝母兰,Coelogyne flaccida,"刘成, 亚吉东, 李昌洪",18CS16741,20180321,云南,1175,石灰岩山坡,附生植物,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486802.jpg,,,,,,,,,, +栗鳞贝母兰,Coelogyne flaccida,方鼎 钟夏明,79720,19900327,,860,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI052624.jpg,,,,,,,,,, +栗鳞贝母兰,Coelogyne flaccida,陈念劬,41516,19300810,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00145121.jpg,,,,,,,,,, +斑唇贝母兰,Coelogyne fuscescens,王启无,74963,19360700,云南省,1080,Thickets tree Bark,,无花有果,https://image.cvh.ac.cn/files/l/PE/00271691.jpg,,,,,,,,,, +褐唇贝母兰,Coelogyne fuscescens,邬文祥,9274,19930206,江苏省,,温室盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585622.jpg,,,,,,,,,, +斑唇贝母兰,Coelogyne fuscescens,杨龙,98-103,19981025,贵州省,1180,,,无花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0006125.jpg,,,,,,,,,, +,Coelogyne gongshanensis,,,,,,,,,,,,,,,,,,, +,Coelogyne griffithii,,,,,,,,,,,,,,,,,,, +,Coelogyne holochila,,,,,,,,,,,,,,,,,,, +,Coelogyne katakiana,,,,,,,,,,,,,,,,,,, +长柄贝母兰,Coelogyne longipes,王启无,65086,19350700,云南省 ,1500,rocky hill,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00557473.jpg,,,,,,,,,, +长柄贝母兰,Coelogyne longipes,M.K.Li,521,1939/10/13,云南,2400,,herb,无花有果,https://image.cvh.ac.cn/files/l/WUK/0270170.jpg,,,,,,,,,, +长柄贝母兰,Coelogyne longipes,金效华,8180,20060520,云南省,1827,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01825115.jpg,,,,,,,,,, +,Coelogyne micrantha,,,,,,,,,,,,,,,,,,, +,Coelogyne mishmensis,,,,,,,,,,,,,,,,,,, +密茎贝母兰,Coelogyne nitida,张维柱,155,19900307,云南省,670,林中树上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033432.jpg,,,,,,,,,, +密茎贝母兰,Coelogyne nitida,金效华,X.H.Jin9003,20070520,云南,1434,林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393718.jpg,,,,,,,,,, +密茎贝母兰,Coelogyne nitida,J.K.Sikdar,6919,19760517,,0~1830,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625282.jpg,,,,,,,,,, +卵叶贝母兰,Coelogyne occultata,杨竞生,90-284,19900721,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01526178.jpg,,,,,,,,,, +卵叶贝母兰,Coelogyne occultata,北京植物所横断山队,229,19810529,云南省,2400,附生于常绿阔叶林内树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487351.jpg,,,,,,,,,, +卵叶贝母兰,Coelogyne occultata,王启无,63299,1935/05/,云南,2700,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0038590.jpg,,,,,,,,,, +长鳞贝母兰,Coelogyne ovalis,"刘成, 亚吉东",18CS17281,20181124,西藏,1636,常绿阔叶林下林缘,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487481.jpg,,,,,,,,,, +长鳞贝母兰,Coelogyne ovalis,A. Henry,13539,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028315.jpg,,,,,,,,,, +长鳞贝母兰,Coelogyne ovalis,彭玉德、李金花、莫连兰,451031141030045LY,20141030,广西,1111,阔叶林,林下,石灰土,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0191734.jpg,,,,,,,,,, +黄绿贝母兰,Coelogyne prolifera,吉占和,92-364,19920605,云南省,1700,林中树上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033435.jpg,,,,,,,,,, +黄绿贝母兰,Coelogyne prolifera,青藏队,74-4394,19740820,西藏自治区,1750,山坡常绿阔叶林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0019815.jpg,,,,,,,,,, +黄绿贝母兰,Coelogyne prolifera,G.Forrest,8613,19120000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625292.jpg,,,,,,,,,, +狭瓣贝母兰,Coelogyne punctulata,"李渤生,李辉",14231,19901012,西藏自治区,2200~2600,常绿阔叶林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506899.jpg,,,,,,,,,, +狭瓣贝母兰,Coelogyne punctulata,王启无,72945,19360400,云南省 ,1700,slope on tree,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00557480.jpg,,,,,,,,,, +狭瓣贝母兰,Coelogyne punctulata,Jin Xiaohua,13534,20121007,云南省,600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233166.jpg,,,,,,,,,, +,Coelogyne pygmaea,,,,,,,,,,,,,,,,,,, +,Coelogyne radicosa,,,,,,,,,,,,,,,,,,, +,Coelogyne raizadae,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11882,20161113,西藏,1986,中山湿性常绿阔叶林,附生植物,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444975.jpg,,,,,,,,,, +挺茎贝母兰,Coelogyne rigida,张维柱,108,19890622,云南省,720,石灰山树内树上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033430.jpg,,,,,,,,,, +挺茎贝母兰,Coelogyne rigida,李剑武,5004,20170523,云南,780,石灰山,附生植物,有花无果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030893.jpg,,,,,,,,,, +疣鞘贝母兰,Coelogyne schultesii,"D.K.Harder,N.T.Hiep,L.V.Averyanov etc.",4850,20000401,,514,limestone rocks to ridge of exposed limestone under light canopy N&S slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033365.jpg,,,,,,,,,, +疣鞘贝母兰,Coelogyne schultesii,王启无,66799,19350900,云南省,2000,"river side,on tree",,无花有果,https://image.cvh.ac.cn/files/l/PE/00271722.jpg,,,,,,,,,, +疣鞘贝母兰,Coelogyne schultesii,刘成、李昌洪、莫明忠、高正林,15CS10068,20150422,云南,1788,常绿阔叶林林缘枯树上,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1393723.jpg,,,,,,,,,, +双褶贝母兰,Coelogyne stricta,倪志诚,26,19830402,西藏自治区,1650,江边林缘岩石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00805600.jpg,,,,,,,,,, +双褶贝母兰,Coelogyne stricta,金效华,9060,20070713,云南省,2347,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825118.jpg,,,,,,,,,, +双褶贝母兰,Coelogyne stricta,金效华,9060,20070713,云南,2347,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825118.jpg,,,,,,,,,, +蔬茎贝母兰,Coelogyne suaveolens,吉占和,92-246,19920515,云南省,800,林中树上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033433.jpg,,,,,,,,,, +疏茎贝母兰,Coelogyne suaveolens,黄子韬、王彦霖,LT003,20191217,云南,747,热带季节性雨林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1509894.jpg,,,,,,,,,, +禾叶贝母兰,Coelogyne viscosa,郭永杰,聂细转,黄秋月,何疆海,白黎虹,12CS4855,20120316,云南,1897,溪边,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1393725.jpg,,,,,,,,,, +禾叶贝母兰,Coelogyne viscosa,德保渠洋公社医院,32241,19570400,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI047943.jpg,,,,,,,,,, +禾叶贝母兰,Coelogyne viscosa,HK kadoorie PT,663,20010500,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01866965.jpg,,,,,,,,,, +,Coelogyne wattii,,,,,,,,,,,,,,,,,,, +薏苡,Coix lacryma-jobi,邓良,7477,1958/9/3,广东,700,,草本、直立,无花无果,https://image.cvh.ac.cn/files/l/WUK/0192052.jpg,,,,,,,,,, +薏苡,Coix lacryma-jobi,,s.n.,,河南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487143.jpg,,,,,,,,,, +薏苡,Coix lacryma-jobi,汤宗孝,87,19810527,云南省,1500,岩边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01681694.jpg,,,,,,,,,, +,Coix lacryma-jobi var. ma-yuen,李际东,305,20030801,湖南省,280,山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01787339.jpg,,,,,,,,,, +薏米 ,Coix lacryma-jobi var. ma-yuen,环江县普查队,451226130319011LY,20130319,广西,321,阔叶林,草本,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0113792.jpg,,,,,,,,,, +薏米,Coix lacryma-jobi var. ma-yuen,李用华,110,1956-11-,广东省,170,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0104077.jpg,,,,,,,,,, +,Coix lacryma-jobi var. stenocarpa,,,,,,,,,,,,,,,,,,, +锚钩吻兰,Collabium assamicum,黄志,40604,19361209,广西壮族自治区,0,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0625360.jpg,,,,,,,,,, +锚钩吻兰,Collabium assamicum,王振刚,3-1840,19780420,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI047947.jpg,,,,,,,,,, +吻兰,Collabium chinense,陈功锡,张代贵等,LXP-06-2877,20140802,江西省,1080.3,密林,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU02744.jpg,,,,,,,,,, +吻兰,Collabium chinense,鞠文彬,邓亨宁 ,HGX13708,20130918,四川省,,溪边林下,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0234673.jpg,,,,,,,,,, +,Collabium chinense,毛品一,2838,19630807,云南省,840,山谷石上润湿,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0019942.jpg,,,,,,,,,, +,Colocasia affinis,J.K.Sikdar,4595,,,0~1500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0611816.jpg,,,,,,,,,, +,Colocasia affinis,青藏队黄荣福,972,19790723,西藏自治区,0~2100,林下,草本,无花无果,https://image.cvh.ac.cn/files/l/HNWP/186768.jpg,,,,,,,,,, +芋婆,Colocasia antiquorum,海南语文所研究委员会,2,19560800,海南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0611820.jpg,,,,,,,,,, +野芋,Colocasia antiquorum,任宪威,793066,19790000,西藏,2100,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00001726.jpg,,,,,,,,,, +野芋,Colocasia antiquorum,单人骅等,2150,19690619,安徽省,300,田边水沟里,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00540007.jpg,,,,,,,,,, +,Colocasia boyceana,,,,,,,,,,,,,,,,,,, +,Colocasia dibangensis,,,,,,,,,,,,,,,,,,, +芋,Colocasia esculenta,陈少卿,8560,19540121,广东省,,栽培疏阴,,有花无果,https://image.cvh.ac.cn/files/l/PE/01436208.jpg,,,,,,,,,, +芋,Colocasia esculenta,"朱鑫鑫,石琳琳,段帅帅,胡梦杰,吕擎",ZXX18617,20181009,湖北,209,亚热带,河边,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1439493.jpg,,,,,,,,,, +芋,Colocasia esculenta,符潮,D2293,20170300,江西,567,林下,,无花无果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0008883.jpg,,,,,,,,,, +假芋,Colocasia fallax,李荫昆,403561,19581026,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00141830.jpg,,,,,,,,,, +假芋,Colocasia fallax,李永亮等,YDDXS1072,20121001,云南,675,干热河谷岩石裸露地段,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1392865.jpg,,,,,,,,,, +假芋,Colocasia fallax,周仕顺,2035,20040807,云南省,900,箐边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01788622.jpg,,,,,,,,,, +,Colocasia mannii,,,,,,,,,,,,,,,,,,, +,Colpodium tibeticum,,,,,,,,,,,,,,,,,,, +,Colpodium wallichii,H.B.G.,746,19930804,青海省,4780~4900,Alpine meadow.Rizomatous grass.,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487164.jpg,,,,,,,,,, +,Colquhounia compta,,,,,,,,,,,,,,,,,,, +无尾果,Coluria longifolia,俞德俊,7420,19280700,云南省 ,3900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0295697.jpg,,,,,,,,,, +无尾果,Coluria longifolia,黄河队,3542,1956/9/2,甘肃,2800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0083847.jpg,,,,,,,,,, +无尾果,Coluria longifolia,李捷,207,19930711,甘肃省,3400,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01610739.jpg,,,,,,,,,, +汶川无尾果,Coluria oligocarpa,何铸,12272,19520423,四川省,,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01274695.jpg,,,,,,,,,, +汶川无尾果,Coluria oligocarpa,王启无,71501,193507,云南省,3000,沟谷中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0110900.jpg,,,,,,,,,, +汶川无尾果,Coluria oligocarpa,,,,四川; SZECHWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00077036.jpg,,,,,,,,,, +,Comastoma cyananthiflorum,,,,,,,,,,,,,,,,,,, +,Comastoma disepalum,,,,,,,,,,,,,,,,,,, +,Comastoma jigzhiense,,,,,,,,,,,,,,,,,,, +,Comastoma muliense,,,,,,,,,,,,,,,,,,, +,Comastoma traillianum,,,,,,,,,,,,,,,,,,, +,Commelina appendiculata,,,,,,,,,,,,,,,,,,, +鸭跖草,Commelina communis,黄迎新,3347,20150728,吉林省松原市,148,草甸/盐化低地草甸/盐碱土,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0233660.jpg,,,,,,,,,, +鸭跖草,Commelina communis,张代贵,ZZ150821195,20150821,湖南益阳,,山坡,一年生披散草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU58195.jpg,,,,,,,,,, +鸭跖草,Commelina communis,巴山采集队,2712,20080728,重庆市,1527,山坡草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238191.jpg,,,,,,,,,, +节节草,Commelina diffusa,陈少卿,11890,19570614,广西,880~740,草地山谷路旁阳处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/231093.jpg,,,,,,,,,, +节节草,Commelina diffusa,张代贵,120917002,20120917,湖北神农架,,林中,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU60942.jpg,,,,,,,,,, +竹节菜,Commelina diffusa,张宏达,4036,19470418,海南省 ,0,,平卧草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0632830.jpg,,,,,,,,,, +地地藕,Commelina maculata,刘正宇,922765,19980415,重庆市,600,林缘栽培,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0019354.jpg,,,,,,,,,, +地地藕,Commelina maculata,张永田,7306,19600809,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237948.jpg,,,,,,,,,, +地地藕,Commelina maculata,,6214,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/048144.jpg,,,,,,,,,, +大苞鸭跖草,Commelina paludosa,刘正宇、张军等,S-3737,20171103,重庆,258,林缘,草本,有花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0051231.jpg,,,,,,,,,, +大苞鸭跖草,Commelina paludosa,曹子余,761,19580920,贵州省,1100,山坡疏林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238009.jpg,,,,,,,,,, +大苞鸭跖草,Commelina paludosa,瞿华、王基宇,31,20171210,福建,320,路边干枯水塘,草本,无花有果,https://image.cvh.ac.cn/files/l/AU/AU068479.jpg,,,,,,,,,, +,Commelina sikkimensis,王万里,338,19570620,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00628076.jpg,,,,,,,,,, +,Commicarpus lantsangensis,,,,,,,,,,,,,,,,,,, +,Conchidium muscicola,,,,,,,,,,,,,,,,,,, +,Conchidium pusillum,,,,,,,,,,,,,,,,,,, +尖齿凤丫蕨,Coniogramme affinis,植物地理调查队,418,19780707,重庆市,,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01363596.jpg,,,,,,,,,, +尖齿凤丫蕨,Coniogramme affinis,South Tibet Exp. Team (STET),STET0387,20100715,西藏自治区,3000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01963778.jpg,,,,,,,,,, +尖齿凤丫蕨,Coniogramme affinis,周以良,670,19540820,吉林省,,,,无花无果,https://image.cvh.ac.cn/files/l/NEFI/009001002001001.jpg,,,,,,,,,, +峨眉凤了蕨,Coniogramme emeiensis,张代贵,C025,20160713,湖南湘西州,,林下,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU62855.jpg,,,,,,,,,, +峨眉凤丫蕨,Coniogramme emeiensis,刘正宇、张军等,S-1107-01,20170222,重庆,790,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0050309.jpg,,,,,,,,,, +峨眉凤丫蕨,Coniogramme emeiensis,廖文波、赵万义、刘忠成、张信坚、叶矾,LXP-13-24836,20171028,湖南,1330,山谷、腐殖土、灌丛、阴处、溪边、偶见种,陆生、草本、直立,有孢子囊,https://image.cvh.ac.cn/files/l/SYS/SYS00201677.jpg,,,,,,,,,, +有齿凤丫蕨,Coniogramme fraxinea,侯小琪,WD2014097,20140708,贵州,,水旁、草坡,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GYBG/GYBG0009776.jpg,,,,,,,,,, +全缘凤丫蕨,Coniogramme fraxinea,"李中阳,卫然",WR0266,20111221,云南省,700,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871891.jpg,,,,,,,,,, +全缘凤丫蕨,Coniogramme fraxinea,"Arief,卫然,于慧,陈文俐",60,20141024,,1065,林缘,林间开阔地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02102425.jpg,,,,,,,,,, +普通凤丫蕨,Coniogramme intermedia,刘正宇等,S-0248,20160311,重庆,959,林下,草本,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0050299.jpg,,,,,,,,,, +普通凤了蕨,Coniogramme intermedia,周喜乐、舒江平、葛斌杰、宋以刚,ZXL06549,20160816,浙江,726,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137741.jpg,,,,,,,,,, +普通凤了蕨,Coniogramme intermedia,余奇,郑臣臣,邓亨宁,李诗琦,CIBYQ027B006,20181026,四川,1264,,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1503592.jpg,,,,,,,,,, +,Coniogramme intermedia var. glabra,刘克荣,949,,湖北省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00587950.jpg,,,,,,,,,, +无毛凤丫蕨,Coniogramme intermedia var. glabra,龚家骥,9975,19350919,江苏省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00149392.jpg,,,,,,,,,, +无毛凤了蕨,Coniogramme intermedia var. glabra,金摄郎,JSL-WLSQ 032,20131024,湖南,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0140937.jpg,,,,,,,,,, +凤丫蕨,Coniogramme japonica,W.P.Fang,,19280806,四川省,0~1200,,,无花无果,https://image.cvh.ac.cn/files/l/N/842006026.jpg,,,,,,,,,, +,Coniogramme japonica,董金廷,HNP078,20121019,河南,,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/AU/AU078211.jpg,,,,,,,,,, +凤丫蕨,Coniogramme japonica,"李中阳,卫然,张红瑞",7402,20150821,贵州省,800,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02051753.jpg,,,,,,,,,, +直角凤丫蕨,Coniogramme procera,G.Forrest,26234,19250300,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00598360.jpg,,,,,,,,,, +直角凤丫蕨,Coniogramme procera,J.F.Rock,7328,19221100,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00149113.jpg,,,,,,,,,, +直角凤了蕨,Coniogramme procera,商辉、罗俊杰,SG1860,20170616,云南,1497,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0141990.jpg,,,,,,,,,, +,Coniogramme pubescens,H.F.Sun,s.n.,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01715473.jpg,,,,,,,,,, +,Coniogramme pubescens,陈又生等,510,20111113,西藏自治区,,地生,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01967801.jpg,,,,,,,,,, +骨齿凤丫蕨,Coniogramme pubescens,张挺,蔡杰,刘成,吴之坤,11CS2753,20110525,云南,2355,林中山坡灌草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1405934.jpg,,,,,,,,,, +乳头凤了蕨,Coniogramme rosthornii,金摄郎、张九兵,JSL-WLSQ 304,20131104,湖南,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0016755.jpg,,,,,,,,,, +乳头凤丫蕨,Coniogramme rosthornii,刘正宇、张军等,S-0045-01,20160308,重庆,789,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0050292.jpg,,,,,,,,,, +乳头凤丫蕨,Coniogramme rosthornii,王印政等,4140,19981018,云南省,1740,山地山坡,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01802710.jpg,,,,,,,,,, +云南黄连,Coptis teeta,刘式乔,660352-01,19660227,重庆市,1650,由云南文山引种栽培,,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0049275.jpg,,,,,,,,,, +云南黄连,Coptis teeta,邓良,1264,19560604,广东省,1200,岩石上,山谷,阴处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01873365.jpg,,,,,,,,,, +云南黄连,Coptis teeta,,s.n.,,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087048.jpg,,,,,,,,,, +珊瑚兰,Corallorhiza trifida,杨宗宗,03-074,20030600,新疆省,,,,,https://image.cvh.ac.cn/files/l/BNU/0019911.jpg,,,,,,,,,, +珊瑚兰,Corallorhiza trifida,"熊济华,周子林",90839,19570517,重庆市,1850,林下,寄生其他植物,,有花无果,https://image.cvh.ac.cn/files/l/PE/00271883.jpg,,,,,,,,,, +珊瑚兰,Corallorhiza trifida,王忠涛等,470,20070628,新疆维吾尔自治区,1776,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033527.jpg,,,,,,,,,, +镰叶虫实,Corispermum falcatum,"吴征镒,陈书坤,杜庆,庐树林",75-758,19750713,西藏自治区,3650,村旁沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086986.jpg,,,,,,,,,, +镰叶虫实,Corispermum falcatum,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201538,20200807,西藏,4182,荒地上,一年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1508383.jpg,,,,,,,,,, +镰叶虫实,Corispermum falcatum,熊厚溪,522401141009282 LY,20141009,贵州省,1080,,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0036730.jpg,,,,,,,,,, +鳞果虫实,Corispermum lepidocarpum,"西藏,夏光成,米泰康",394,19600830,西藏自治区,3200,河边沙地向阳处的斜坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086927.jpg,,,,,,,,,, +,Corispermum lepidocarpum,"Ludlow, Frank: Sherriff, George & Taylor, George",6227,6-Sep-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00317866.jpg,,,,,,,,,, +拉萨虫实,Corispermum lhasaense,傅国勋,658,19600910,西藏自治区,3760,卵石砂地,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00540404.jpg,,,,,,,,,, +假镰叶虫实,Corispermum pseudofalcatum,傅国勋,789,19600000,西藏自治区,3800,田边,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00934050.jpg,,,,,,,,,, +阔片角蕨,Cornopteris latiloba,X.C.Zhang & L.Wang,4757,20070923,西藏自治区,2060,,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01792625.jpg,,,,,,,,,, +阔片角蕨,Cornopteris latiloba,K.M.Feng,7574,19400907,云南省,2300~2500,沟边杂林中,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00719949.jpg,,,,,,,,,, +阔片角蕨,Cornopteris latiloba,成晓,王凡红,FB-124,20130625,云南,1800,,,,https://image.cvh.ac.cn/files/l/KUN/1405971.jpg,,,,,,,,,, +黑叶角蕨,Cornopteris opaca,刘正宇、张军等,S-1555,20170423,重庆,862,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0050345.jpg,,,,,,,,,, +,Cornopteris opaca,"高信芬, 高云东 & 鞠文彬",HGX11676,20130607,四川省,850,河沟边常绿阔叶林下,多年生草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0238925.jpg,,,,,,,,,, +黑叶角蕨,Cornopteris opaca,金摄郎、王莹,YYH13245,20140418,广西省,740,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0066010.jpg,,,,,,,,,, +宽叶栓果芹,Cortiella caespitosa,,11951,19760714,江苏省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00725329.jpg,,,,,,,,,, +宽叶栓果芹,Cortiella caespitosa,K.S.Hao,1144,19300903,青海省,5000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00725332.jpg,,,,,,,,,, +宽叶栓果芹,Cortiella caespitosa,西藏中草药普查队,4609,19721009,西藏自治区,5200,高山砾石草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935526.jpg,,,,,,,,,, +杉林溪铠兰,Corybas himalaicus,徐春菊,EX-TD271,20120717,台湾省,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0109702.jpg,,,,,,,,,, +杉林溪铠兰,Corybas himalaicus,韩周东,吴优,樊财毅,HZD20013,20200622,云南,1784,针阔混交林,地生小草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1488983.jpg,,,,,,,,,, +大理铠兰,Corybas taliensis,李剑武,4152,20140822,云南,2600,常绿阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028780.jpg,,,,,,,,,, +大理铠兰,Corybas taliensis,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201347,20200729,西藏,2314,林中,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1507472.jpg,,,,,,,,,, +大理铠兰,Corybas taliensis,余奇,代文台,CIBYQ080,20190805,四川,3133,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1502792.jpg,,,,,,,,,, +,Corydalis acropteryx,,,,,,,,,,,,,,,,,,, +,Corydalis adoxifolia,,,,,,,,,,,,,,,,,,, +,Corydalis appendiculata,,,,,,,,,,,,,,,,,,, +,Corydalis atuntsuensis,,,,,,,,,,,,,,,,,,, +,Corydalis balsamiflora,,,,,,,,,,,,,,,,,,, +,Corydalis barbisepala,,,,,,,,,,,,,,,,,,, +,Corydalis benecincta,,,,,,,,,,,,,,,,,,, +,Corydalis bimaculata,,,,,,,,,,,,,,,,,,, +,Corydalis bokuensis,,,,,,,,,,,,,,,,,,, +,Corydalis brevirostrata,,,,,,,,,,,,,,,,,,, +,Corydalis brunneo-vaginata,,,,,,,,,,,,,,,,,,, +,Corydalis bulbifera,,,,,,,,,,,,,,,,,,, +,Corydalis calcicola,,,,,,,,,,,,,,,,,,, +,Corydalis chamdoensis,,,,,,,,,,,,,,,,,,, +,Corydalis chrysosphaera,,,,,,,,,,,,,,,,,,, +,Corydalis conspersa,,,,,,,,,,,,,,,,,,, +,Corydalis corymbosa,,,,,,,,,,,,,,,,,,, +,Corydalis crista-galli,,,,,,,,,,,,,,,,,,, +,Corydalis cristata,,,,,,,,,,,,,,,,,,, +,Corydalis cytisiflora,,,,,,,,,,,,,,,,,,, +,Corydalis dajingensis,,,,,,,,,,,,,,,,,,, +,Corydalis dasyptera,,,,,,,,,,,,,,,,,,, +,Corydalis degensis,,,,,,,,,,,,,,,,,,, +,Corydalis delavayi,,,,,,,,,,,,,,,,,,, +,Corydalis densispica,,,,,,,,,,,,,,,,,,, +,Corydalis drakeana,,,,,,,,,,,,,,,,,,, +,Corydalis dubia,,,,,,,,,,,,,,,,,,, +,Corydalis elata,,,,,,,,,,,,,,,,,,, +,Corydalis ellipticarpa,,,,,,,,,,,,,,,,,,, +,Corydalis eugeniae,,,,,,,,,,,,,,,,,,, +,Corydalis filisecta,,,,,,,,,,,,,,,,,,, +,Corydalis fimbripetala,,,,,,,,,,,,,,,,,,, +,Corydalis foetida,,,,,,,,,,,,,,,,,,, +,Corydalis foliaceo-bracteata,,,,,,,,,,,,,,,,,,, +,Corydalis geocarpa,,,,,,,,,,,,,,,,,,, +,Corydalis glycyphyllos,,,,,,,,,,,,,,,,,,, +,Corydalis grandiflora,,,,,,,,,,,,,,,,,,, +,Corydalis gyrophylla,,,,,,,,,,,,,,,,,,, +,Corydalis hamata,,,,,,,,,,,,,,,,,,, +,Corydalis hebephylla,,,,,,,,,,,,,,,,,,, +,Corydalis hemidicentra,,,,,,,,,,,,,,,,,,, +,Corydalis hepaticifolia,,,,,,,,,,,,,,,,,,, +,Corydalis heracleifolia,,,,,,,,,,,,,,,,,,, +,Corydalis heterocentra,,,,,,,,,,,,,,,,,,, +,Corydalis imbricata,,,,,,,,,,,,,,,,,,, +,Corydalis inopinata,,,,,,,,,,,,,,,,,,, +,Corydalis jiulongensis,,,,,,,,,,,,,,,,,,, +,Corydalis kingdonis,,,,,,,,,,,,,,,,,,, +,Corydalis kingii,,,,,,,,,,,,,,,,,,, +,Corydalis kiukiangensis,,,,,,,,,,,,,,,,,,, +,Corydalis kokiana,,,,,,,,,,,,,,,,,,, +,Corydalis lasiocarpa,,,,,,,,,,,,,,,,,,, +,Corydalis lathyrophylla,,,,,,,,,,,,,,,,,,, +,Corydalis lhasaensis,,,,,,,,,,,,,,,,,,, +,Corydalis lhorongensis,,,,,,,,,,,,,,,,,,, +,Corydalis linstowiana,,,,,,,,,,,,,,,,,,, +,Corydalis livida,,,,,,,,,,,,,,,,,,, +,Corydalis longibracteata,,,,,,,,,,,,,,,,,,, +,Corydalis ludlowii,,,,,,,,,,,,,,,,,,, +,Corydalis lupinoides,,,,,,,,,,,,,,,,,,, +暗绿紫堇,Corydalis melanochlora,"朱鑫鑫,安宇梦",ZXX18128,20180617,青海,3827,高原亚寒带高山流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1438518.jpg,,,,,,,,,, +,Corydalis melanochlora,张挺,郭永杰,刘成等,10CS2199,20100803,云南,4479,"Alpine scree. SW-facing slope 45° with Potentilla, Bistorta, Arenaria, mosses.",匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1234343.jpg,,,,,,,,,, +暗绿紫堇,Corydalis melanochlora,Anonymous,422,19640701,甘肃省,3650,高山,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062983.jpg,,,,,,,,,, +小花紫堇,Corydalis minutiflora,,15231,19600729,四川,,石滩、石坎上,,有花有果,https://image.cvh.ac.cn/files/l/SM/SM705600217.jpg,,,,,,,,,, +小黄紫堇,Corydalis minutiflora,张磊,张朝攀,zlnmu2022166,20220717,宁夏,1854,山谷溪边,草本,有花有果,https://image.cvh.ac.cn/files/l/NMU/NMU00947.jpg,,,,,,,,,, +小花紫堇,Corydalis minutiflora,张银山,522223150503036 LY,20150503,贵州省,346.4,中生、阳性、中温、野生植物、灌丛、碱土,一年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0038974.jpg,,,,,,,,,, +尖突黄堇,Corydalis mucronifera,PE西藏队,PE5357,20170828,西藏自治区,4019,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332879.jpg,,,,,,,,,, +尖突黄堇,Corydalis mucronifera,吴玉虎,1603,19840812,青海省,4300,山沟沙石手滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062837.jpg,,,,,,,,,, +,Corydalis mucronifera,,,,,,,,,,,,,,,,,,, +木里黄堇,Corydalis muliensis,T.T.Yu,6273,19370615,四川省,3600,under woods,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00934574.jpg,,,,,,,,,, +,Corydalis muliensis,T. T. Yu,6273,1937,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00359279.jpg,,,,,,,,,, +细花紫堇,Corydalis napuligera,应俊生 洪德元,986,19650823,西藏自治区,3800,Abies 林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934577.jpg,,,,,,,,,, +林生紫堇,Corydalis nemoralis,郎楷永等,2788,19830805,四川,4100,卡子拉山冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821028.jpg,,,,,,,,,, +林生紫堇,Corydalis nemoralis,C.W.Wang,65562,19350800,西藏自治区,3400,"Under forest,top of mt.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01009223.jpg,,,,,,,,,, +林生紫堇,Corydalis nemoralis,王启无,65835,Aug-35,云南省,3400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0132933.jpg,,,,,,,,,, +黑顶黄堇,Corydalis nigro-apiculata,四川植物标本,7100,19740622,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062832.jpg,,,,,,,,,, +黑顶黄堇,Corydalis nigro-apiculata,T.N.Ho et al.,2534,19960828,青海省,3450~3550,Growing under Picea,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009233.jpg,,,,,,,,,, +黑顶黄堇,Corydalis nigro-apiculata,青藏科考队,12691,19760808,西藏自治区,3900~4000,云杉林间灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050396.jpg,,,,,,,,,, +,Corydalis oligosperma,,,,,,,,,,,,,,,,,,, +,Corydalis pachycentra,彭玉兰、涂卫国、幸福,Gaoxf328,20080718,四川,3800,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0206442.jpg,,,,,,,,,, +浪穹紫堇,Corydalis pachycentra,青藏科考队,,19760627,西藏自治区,5000,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674633.jpg,,,,,,,,,, +浪穹紫堇,Corydalis pachycentra,青藏队,343,19810602,云南省,3600,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308736.jpg,,,,,,,,,, +粗梗黄堇,Corydalis pachypoda,郭先林、蒋秋萍,2040588,20200717,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02040588.jpg,,,,,,,,,, +粗梗黄堇,Corydalis pachypoda,刘志安,22966,1980-08-,四川省,4200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0132979.jpg,,,,,,,,,, +粗梗黄堇,Corydalis pachypoda,青藏队,624,19810601,云南省,3500,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308690.jpg,,,,,,,,,, +紫堇属,Corydalis paniculata,"张建文,李彦波,孙露,张成,阳亿",ZJW-3149,20150818,四川省,4750~4817,高山流石滩,,,https://image.cvh.ac.cn/files/l/KUN/1274713.jpg,,,,,,,,,, +,Corydalis paniculata,扎西次仁,ZhongY236,20080817,西藏,4461,高山草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1234319.jpg,,,,,,,,,, +聂拉木黄堇,Corydalis papillipes,西藏中草药普查队,1962,19721008,西藏自治区,4500,山坡灌丛下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934587.jpg,,,,,,,,,, +紫堇属,Corydalis papillipes,倪志诚 次多 次旦,2860,19820809,西藏,3100,山谷灌丛林下,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0002315.jpg,,,,,,,,,, +盾萼紫堇,Corydalis peltata,方瑞征,吕正伟,85,19900702,云南省,3150,杜鹃-落叶阔叶林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674669.jpg,,,,,,,,,, +岩生紫堇,Corydalis petrophila,刘志安,20151,1979-6 9,四川省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0032652.jpg,,,,,,,,,, +岩生紫堇,Corydalis petrophila,,265,19890000,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01008951.jpg,,,,,,,,,, +岩生紫堇,Corydalis petrophila,张品飞,522121160323018LY,20160323,贵州省,882.8,中生、阳性、草丛、酸性土、中温、野生植物、偶见,多年生草本植物,有花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0030305.jpg,,,,,,,,,, +多叶紫堇,Corydalis polyphylla,"徐连升,柯芮",150130,20150731,云南省,3745,山坡乱石堆,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02282634.jpg,,,,,,,,,, +,Corydalis polyphylla,,,,,,,,,,,,,,,,,,, +紫花地堇,Corydalis porphyrantha,生科,81,20140704,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0006059.jpg,,,,,,,,,, +,Corydalis porphyrantha,何兴金,王月,胡灏禹,陈德才,SCU-08137,20080816,四川,3584,林下,草本,,https://image.cvh.ac.cn/files/l/KUN/1234367.jpg,,,,,,,,,, +,Corydalis porphyrantha,刘尚武,60,19650620,青海省,4500,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0219803.jpg,,,,,,,,,, +半裸茎黄堇,Corydalis potaninii,Tso-Pin Wang,5233,19360724,甘肃省,2700,灌木下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01901155.jpg,,,,,,,,,, +半裸茎黄堇,Corydalis potaninii,,993,19790724,四川,3000,路旁,沼泽,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705600266.jpg,,,,,,,,,, +半裸茎黄堇,Corydalis potaninii,茂纹组,1218,19790802,四川省,3000,林路旁,阴湿,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1222984.jpg,,,,,,,,,, +峭壁紫堇,Corydalis praecipitorum,J.F.Rock,12530,19250600,甘肃省,3150,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674793.jpg,,,,,,,,,, +,Corydalis praecipitorum,"Rock, Joseph Francis Charles",12495,25-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00015308.jpg,,,,,,,,,, +草甸黄堇,Corydalis prattii,彭玉兰、余奇、李林霖,THP-KD-1342,20170616,四川,3091,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244015.jpg,,,,,,,,,, +,Corydalis prattii,刘家骏,,19580829,黑龙江,,林缘或潮湿而多腐植物地上,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00011800.jpg,,,,,,,,,, +草甸黄堇,Corydalis prattii,刘振书,932,19340727,四川省,3200,among bushes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009624.jpg,,,,,,,,,, +波密紫堇,Corydalis pseudo-adoxa,"应俊生,洪德元",651175,19650815,西藏自治区,4300,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009643.jpg,,,,,,,,,, +波密紫堇,Corydalis pseudo-adoxa,方震东,387,20040605,云南,3400,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008677.jpg,,,,,,,,,, +波密紫堇,Corydalis pseudo-adoxa,杨竞生,91-707,1991-07-,西藏省,4550,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0133025.jpg,,,,,,,,,, +假髯萼紫堇,Corydalis pseudobarbisepala,郎楷永 李良千等,1127,19820818,四川省,3800~4000,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02308676.jpg,,,,,,,,,, +,Corydalis pseudobarbisepala,"Liljestrand, S.",L.153,22-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00062192.jpg,,,,,,,,,, +甲格黄堇,Corydalis pseudodrakeana,杨竞生,90-145,19900711,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062685.jpg,,,,,,,,,, +短爪黄堇,Corydalis pseudodrakeana,Ludlow Sherriff etc.,5401,0,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0137009.jpg,,,,,,,,,, +甲格黄堇,Corydalis pseudodrakeana,陈泽映、胡刚等,111994,1980-5 1,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0032687.jpg,,,,,,,,,, +假多叶紫堇,Corydalis pseudofluminicola,George Forrest,14494,19170000,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674906.jpg,,,,,,,,,, +假多叶紫堇,Corydalis pseudofluminicola,方震东,253,19870729,云南省,4350,高山流石滩草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675095.jpg,,,,,,,,,, +假多叶黄堇,Corydalis pseudofluminicola,吴中伦,32387,19580627,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009661.jpg,,,,,,,,,, +假北紫堇,Corydalis pseudoimpatiens,刘慎谔,8826,1956-09-,内蒙古省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0133034.jpg,,,,,,,,,, +假北紫堇,Corydalis pseudoimpatiens,,18,,,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0248494.jpg,,,,,,,,,, +,Corydalis pseudoimpatiens,刘坤,LiuJQ-GN-2011-595,20110812,甘肃,2794,林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1234369.jpg,,,,,,,,,, +短莛黄堇,Corydalis pseudorupestris,,175,19780612,四川,3000,岩壁 ,丛生草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705600301.jpg,,,,,,,,,, +,Corydalis pseudorupestris,"Kingdon-Ward, F.",5181,4-Jun-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00062236.jpg,,,,,,,,,, +粗毛黄堇,Corydalis pseudoschlechteriana,陈泽映 胡刚 赵振据 熊子仙,112400,19800501,四川省,3660,高山干草沟,草木,有花有果,https://image.cvh.ac.cn/files/l/CQNM/0003315.jpg,,,,,,,,,, +,Corydalis pseudoschlechteriana,"Soulié, J.A.",2479,1874-7-20,,,,,,https://image.cvh.ac.cn/files/l/P/P00745030.jpg,,,,,,,,,, +小锥花黄堇,Corydalis pseudothyrsiflora,吴征镒 陈书坤等,75-863,19750717,西藏自治区,4740,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934654.jpg,,,,,,,,,, +假全冠黄堇,Corydalis pseudotongolensis,"杨亲二,袁琼",Yangqe2265,20080815,云南省,3300,林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063174.jpg,,,,,,,,,, +假全冠黄堇,Corydalis pseudotongolensis,FLPH Sichuan Expedition,151876,20150901,四川省,3360,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02282637.jpg,,,,,,,,,, +假全冠黄堇,Corydalis pseudotongolensis,PE西藏队,PE5625,20170901,西藏自治区,4556,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332876.jpg,,,,,,,,,, +,Corydalis pseudoweigoldii,青藏队,12409,19830724,四川省,3800,山坡冷山林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308685.jpg,,,,,,,,,, +盐源紫堇,Corydalis pseudoweigoldii,Handel-Mazzetti,,,,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0675826.jpg,,,,,,,,,, +毛茎紫堇,Corydalis pubicaula,青藏队,76-7688,19760510,西藏自治区,2000,河谷杂木林缘草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050400.jpg,,,,,,,,,, +,Corydalis pubicaula,"Kingdon-Ward, F.",6162,29-Aug-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00062321.jpg,,,,,,,,,, +,Corydalis purpureocalcarata,,,,,,,,,,,,,,,,,,, +矮黄堇,Corydalis pygmaea,"吴征镒,陈书坤,杜庆等",75-1197,19750806,西藏自治区,4920,草甸或灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068002.jpg,,,,,,,,,, +,Corydalis pygmaea,罗建,汪书丽,任德智,LiuJQ-09XZ-ML028,20090926,西藏,4948,高山草甸,草本,,https://image.cvh.ac.cn/files/l/KUN/1234376.jpg,,,,,,,,,, +矮黄堇,Corydalis pygmaea,龙庆德、李启瑞,52263120181018213LY,20181018,贵州,529,草丛、旱生、耐阴、亚高温、钙质土、野生植物,一年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0100461.jpg,,,,,,,,,, +,Corydalis quantmeyeriana,"Smith, Karl August Harald",3661,23-Jul-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00062195.jpg,,,,,,,,,, +掌苞紫堇,Corydalis quantmeyeriana,无,5315,19190520,甘肃省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675026.jpg,,,,,,,,,, +掌苞紫堇,Corydalis quantmeyeriana,平武队,455,19780716,四川,4000,山,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM705600302.jpg,,,,,,,,,, +朗县黄堇,Corydalis quinquefoliolata,Ludlow et Sherriff,5503,19380609,西藏自治区,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675027.jpg,,,,,,,,,, +,Corydalis quinquefoliolata,"Ludlow, Sherriff, & Taylor",5503,9-Jun-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00062261.jpg,,,,,,,,,, +裂瓣紫堇,Corydalis radicans,T.T.Yu,7435,19370728,四川省,3900,margin of woods grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009993.jpg,,,,,,,,,, +囊果黄堇,Corydalis retingensis,无,11094,19440801,西藏自治区,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0675079.jpg,,,,,,,,,, +扇苞黄堇,Corydalis rheinbabeniana,J.F.Rock,13003,25-Aug,甘肃省,1250,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0133098.jpg,,,,,,,,,, +扇苞黄堇,Corydalis rheinbabeniana,,895,19790719,四川,,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705600354.jpg,,,,,,,,,, +,Corydalis rheinbabeniana,"陈伟烈,陈家瑞,郭柯等",7804,19840716,四川省,3500,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046922.jpg,,,,,,,,,, +,Corydalis rockii,徐波,陈光富,陈林杨,董金龙等,SunH-07ZX-1450,20080730,西藏,4418,高山灌丛,流石滩,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300616.jpg,,,,,,,,,, +椭果紫堇,Corydalis rockii,青藏补点组,750967,19750727,西藏自治区,3100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/51589.jpg,,,,,,,,,, +露点紫堇,Corydalis rorida,杨恽,163,19840726,四川省,,山坡,灌木丛下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1223054.jpg,,,,,,,,,, +拟鳞叶紫堇,Corydalis roseotincta,四川省植被调查队,2903,19730708,四川省,4700,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934660.jpg,,,,,,,,,, +拟鳞叶紫堇,Corydalis roseotincta,方震东,李新华,754,19880625,云南省,4360,流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675091.jpg,,,,,,,,,, +拟鳞叶紫堇,Corydalis roseotincta,,634,19790802,四川,5200,华山附近,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705600358.jpg,,,,,,,,,, +粗糙黄堇,Corydalis scaberula,青藏队那曲分队,10787,19760805,西藏自治区,5100~5300,高山石砾草坡水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062679.jpg,,,,,,,,,, +粗糙黄堇,Corydalis scaberula,康藏植物考察队(Kham Expedition),10-0989,20100731,青海省,4600,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01874955.jpg,,,,,,,,,, +,Corydalis scaberula,,,,,,,,,,,,,,,,,,, +,Corydalis semiaquilegifolia,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0362,20080722,西藏,5116,流石滩,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300625.jpg,,,,,,,,,, +,Corydalis sherriffii,徐波,陈光富,陈林杨,董金龙等,SunH-07ZX-0893,20080725,西藏,4047,高山灌丛草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300639.jpg,,,,,,,,,, +巴噶紫堇,Corydalis sherriffii,,5969,19270718,西藏自治区,4500,rocky hillside,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675155.jpg,,,,,,,,,, +,Corydalis sherriffii,"Ludlow, F. & Sherriff, G.",5969,27-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00062260.jpg,,,,,,,,,, +甘南紫堇,Corydalis sigmantha,吴中伦,32531,19580703,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901259.jpg,,,,,,,,,, +箐边紫堇,Corydalis smithiana,"韩裕丰,邓坤梅,陈永瑞",81-1089,19810700,云南省,3600,云冷杉采伐地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02308741.jpg,,,,,,,,,, +箐边紫堇,Corydalis smithiana,无,9056,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675228.jpg,,,,,,,,,, +,Corydalis smithiana,,,,,,,,,,,,,,,,,,, +匙苞黄堇,Corydalis spathulata,西藏队植被组,6056,19750902,西藏自治区,4900~5000,流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901395.jpg,,,,,,,,,, +,Corydalis spathulata,"Walton, H.J.",,1904,,,,,,https://image.cvh.ac.cn/files/l/P/P00745044.jpg,,,,,,,,,, +草黄堇,Corydalis straminea,省卫生局中草药组,,19710000,甘肃,~,,,无花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0090797.jpg,,,,,,,,,, +草黄堇,Corydalis straminea,胡志新,145,1977-05-,陕西省,1600,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0133186.jpg,,,,,,,,,, +草黄堇,Corydalis straminea,钟补求,83610,19580702,青海省,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901207.jpg,,,,,,,,,, +,Corydalis stramineoides,F.Ludlow etc.,13905,19470616,西藏自治区,3750,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675359.jpg,,,,,,,,,, +纹果紫堇,Corydalis striatocarpa,石渠队,184,19790707,四川省,4300,无,,,https://image.cvh.ac.cn/files/l/KUN/1222876.jpg,,,,,,,,,, +黄绿黄堇,Corydalis temolana,费勇,孙航等,211,19900723,西藏自治区,4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0678628.jpg,,,,,,,,,, +黄绿紫堇,Corydalis temolana,青藏队,2727,1981-7 1,云南省,4600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0032754.jpg,,,,,,,,,, +,Corydalis tenerrima,,,,,,,,,,,,,,,,,,, +细距黄堇,Corydalis tenuicalcarata,张永田、郎楷永/Chang Yong Tian & Lang Kai Yong,212,19650701,西藏自治区,4000,山坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00133850.jpg,,,,,,,,,, +天祝黄堇,Corydalis tianzhuensis,Ho Ting-nung et al.,H.B.G757,19930804,青海省,4780~4900,Rocky alpine meadow on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040404.jpg,,,,,,,,,, +,Corydalis tibeto-alpina,生物研究所西藏考察队,3871,19740808,西藏自治区,4900~5100,阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02308641.jpg,,,,,,,,,, +西藏对叶黄堇,Corydalis tibeto-oppositifolia,吴征镒等/C.Y.Wu et al.,75-978,19750718,西藏自治区,4600,,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934672.jpg,,,,,,,,,, +全冠黄堇,Corydalis tongolensis,C.W.Wang,69872,19350900,云南省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00323298.jpg,,,,,,,,,, +全冠黄堇,Corydalis tongolensis,无,1004,,,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0675586.jpg,,,,,,,,,, +全冠黄堇,Corydalis tongolensis,青藏队植被组,9672,19760820,西藏自治区,3700,河谷。,,有花无果,https://image.cvh.ac.cn/files/l/PE/00051634.jpg,,,,,,,,,, +,Corydalis trachycarpa,"康藏植物考察队(Kham Expedition)(陈又生,高云东,周广明,何理,张宪春,马祥光)",10-628,20100724,四川省,4600,流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/01874934.jpg,,,,,,,,,, +,Corydalis trachycarpa,白龙江考察队,1184,19990523,甘肃省,1800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556103.jpg,,,,,,,,,, +糙果紫堇,Corydalis trachycarpa,刀志灵;刘德团;郭世伟;张品;杨佳俊;陶丽丹;杨丰懋,KIBDZL209B07,20190726,云南,3614,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1561510.jpg,,,,,,,,,, +,Corydalis tsariensis,,,,,,,,,,,,,,,,,,, +察隅紫堇,Corydalis tsayulensis,倪志诚 汪永泽 次多 次旦,1110,19800815,西藏自治区,4200,山坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02308702.jpg,,,,,,,,,, +察隅紫堇,Corydalis tsayulensis,四川省植被调查队,3197,19730817,四川省,4800,干燥砾石滑坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029130.jpg,,,,,,,,,, +紫苞黄堇,Corydalis urbaniana,Harry Smith,4693,19220926,四川省,3600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00934675.jpg,,,,,,,,,, +,Corydalis urbaniana,"Smith, H.",4693,26-Sep-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00062211.jpg,,,,,,,,,, +川西紫堇,Corydalis weigoldii,T.T.Yu,2242,1933,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0133288.jpg,,,,,,,,,, +川西紫堇,Corydalis weigoldii,,223,19790523,四川,3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705600474.jpg,,,,,,,,,, +,Corydalis wuzhengyiana,青藏科考队,12054,19760630,西藏自治区,3800,河边沙滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02308680.jpg,,,,,,,,,, +雅江紫堇,Corydalis yargongensis,D.E.Boufford et al.,42641,20100805,四川省,1650~4410,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026528.jpg,,,,,,,,,, +雅江紫堇,Corydalis yargongensis,茂汶队,850,19790716,四川,3500,草地、向阳,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705600483.jpg,,,,,,,,,, +瘤籽黄堇,Corydalis yui,"D.E.Boufford,L.Y.Chen,X.H.Li etc.",42718,20100808,四川省,3535,ungrazed and grazed dry to moist meadows stream margins and moist mixed forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045005.jpg,,,,,,,,,, +,Corydalis yui,"Yü, T.T.",14304,18-Sep-37,,,,,,https://image.cvh.ac.cn/files/l/E/E00062215.jpg,,,,,,,,,, +瘤籽黄堇,Corydalis yui,张挺,郭永杰,吴之坤,姜虹,李贵能,16CS12616,20160818,四川,3280,路边林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1434744.jpg,,,,,,,,,, +杂多紫堇,Corydalis zadoiensis,杨竞生,91-703,19910725,西藏自治区,4500,江穷拉山流石滩或石砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308672.jpg,,,,,,,,,, +杂多紫堇,Corydalis zadoiensis,杨永昌,470,19640807,青海省,,山顶 半阴坡 草皮滑塌处,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01040961.jpg,,,,,,,,,, +,Corydalis zadoiensis,彭玉兰、涂卫国、幸福,Gaoxf0070,20080714,四川,4300,高山草矮灌丛甸,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0204618.jpg,,,,,,,,,, +中甸黄堇,Corydalis zhongdianensis,中甸队,801,19620814,云南省,3300,河边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040969.jpg,,,,,,,,,, +中甸黄堇,Corydalis zhongdianensis,郭先林、苟巍,2040188,20200715,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02040188.jpg,,,,,,,,,, +,Corydalis zhongdianensis,,21126,,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0000013.jpg,,,,,,,,,, +,Corylopsis glaucescens,,,,,,,,,,,,,,,,,,, +,Corylopsis trabeculosa,,,,,,,,,,,,,,,,,,, +,Corylopsis yui,,,,,,,,,,,,,,,,,,, +维西榛,Corylus wangii,陈耀东等,2221,19881007,重庆市,1850,山坡 杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00734902.jpg,,,,,,,,,, +维西榛,Corylus wangii,王启无/C.W.Wang,68243,19350800,云南省,3400,Mountain slope,woody plant,无花有果,https://image.cvh.ac.cn/files/l/PE/01062681.jpg,,,,,,,,,, +,Corylus wangii,,33,19830804,四川省,2200,高山,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0591659.jpg,,,,,,,,,, +管花兰,Corymborkis veratrifolia,陶国达等,40081,19891102,云南省,650,林内,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0019967.jpg,,,,,,,,,, +管花兰,Corymborkis veratrifolia,中越考察队,678,19641221,葵州,250~310,石灰岩林下,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0019971.jpg,,,,,,,,,, +管花兰,Corymborkis veratrifolia,肖斯悦;席辉辉;王祎晴,KIBGX096B07,20190817,云南,544,亚热带常绿阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1556706.jpg,,,,,,,,,, +,Costus oblongus,,,,,,,,,,,,,,,,,,, +矮黄栌,Cotinus nana,中甸队,1237,19620818,云南省,1810,岩石缝隙中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245337.jpg,,,,,,,,,, +矮黄栌,Cotinus nana,,11492,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0422494.jpg,,,,,,,,,, +矮黄栌,Cotinus nana,廖明武,522623140925053 LY,20140924,贵州省,563.2,阳性、沙土、针阔叶混交林、中生、中温、野生植物,乔木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0066395.jpg,,,,,,,,,, +四川黄栌,Cotinus szechuanensis,G. Fengel,66,1933/8/22,陕西,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0170921.jpg,,,,,,,,,, +四川黄栌,Cotinus szechuanensis,杨筑筑,张银,秦运芝,覃必伍,203,20190916,湖南,417,路边灌丛山坡灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0189395.jpg,,,,,,,,,, +四川黄栌,Cotinus szechuanensis,P.Licent S.J.,5002,19300412,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01248575.jpg,,,,,,,,,, +,Cotoneaster conspicuus,P.J.M.Delavay,1079,18840907,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1233066.jpg,,,,,,,,,, +,Cotoneaster conspicuus,Bertil Hylmo,9438,19791023,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01639035.jpg,,,,,,,,,, +,Cotoneaster conspicuus,于胜祥等,5741,20110818,西藏自治区,,沿途路旁山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01903282.jpg,,,,,,,,,, +,Cotoneaster harrysmithii,"张大才,李双智,罗康,梁群",SunH-07ZX-1252,20080802,西藏自治区,3868,高山栎林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1313065.jpg,,,,,,,,,, +丹巴栒子,Cotoneaster harrysmithii,李馨,78291,19580802,四川省,3000,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00396861.jpg,,,,,,,,,, +,Cotoneaster harrysmithii,"Smith, Karl August Harald",12647,10-Oct-34,,,,,,https://image.cvh.ac.cn/files/l/E/E00010933.jpg,,,,,,,,,, +中甸栒子,Cotoneaster langei,西藏中草药普查队,248,19720613,西藏自治区,3700,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/29961.jpg,,,,,,,,,, +中甸栒子,Cotoneaster langei,青藏队,12117,19830720,四川省,3200,石灰岩山坡 岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01158413.jpg,,,,,,,,,, +,Cotoneaster langei,"Yü, Tse-tsun",13743,18-Oct-37,,,,,,https://image.cvh.ac.cn/files/l/E/E00010931.jpg,,,,,,,,,, +,Cotoneaster nitens,何海、王海峰、肖雅军、唐伟岚,JZG0034,20180918,四川,1970,,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273040.jpg,,,,,,,,,, +光泽栒子,Cotoneaster nitens,T.T.Yu,9426,19370808,云南省,3800,under woods,,无花无果,https://image.cvh.ac.cn/files/l/PE/00524072.jpg,,,,,,,,,, +光泽栒子,Cotoneaster nitens,Bertil Hylmo,9193,19650701,,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01639198.jpg,,,,,,,,,, +网脉栒子,Cotoneaster reticulatus,"关克俭,王文采等",2262,19630903,四川省,1600,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/00524267.jpg,,,,,,,,,, +网脉栒子,Cotoneaster reticulatus,C.W.Wang,65440,19350900,西藏自治区,2500,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00347926.jpg,,,,,,,,,, +网脉栒子,Cotoneaster reticulatus,不祥,22670,19590827,云南省,2800,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/45600.jpg,,,,,,,,,, +藏南栒子,Cotoneaster taylorii,"唐宇丹,林秦文",2010-167,20100927,西藏自治区,3721,羊湖背面山坡 干燥 沙石 全光照,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039488.jpg,,,,,,,,,, +,Cotoneaster taylorii,"Ludlow, Frank: Sherriff, George & Taylor, George",4246,13-May-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00010975.jpg,,,,,,,,,, +细枝栒子,Cotoneaster tenuipes,"T.N.Ho,B.Bartholomew,M.Watson and M.Gilbert",2500,19960827,青海省,3540,Growing under picea,,无花有果,https://image.cvh.ac.cn/files/l/PE/00562423.jpg,,,,,,,,,, +细枝栒子,Cotoneaster tenuipes,怒江队,791929,19790731,云南省 ,2150,山坡干热,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0113623.jpg,,,,,,,,,, +,Cotoneaster tenuipes,高信芬、涂卫国、何海、乔永康,6757,20030831,西藏,3636,干旱河谷山坡,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189540.jpg,,,,,,,,,, +白毛栒子,Cotoneaster wardii,T.T.Yu,s.n.,19480000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00525267.jpg,,,,,,,,,, +,Cotoneaster wardii,"罗建,汪书丽,任德智",L020,20100902,西藏自治区,2975,林缘灌丛,草地,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1313229.jpg,,,,,,,,,, +白毛栒子,Cotoneaster wardii,昆植植物群落标本,20,1981,云南省,1900,小石积,木犀灌丛,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0113836.jpg,,,,,,,,,, +,Cottonia peduncularis,,,,,,,,,,,,,,,,,,, +,Courtoisina cyperoides,,,,,,,,,,,,,,,,,,, +丝毛刺头菊,Cousinia lasiophylla,西植新疆队,2135,19780729,新疆维吾尔自治区,3000,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030013.jpg,,,,,,,,,, +丝毛刺头菊,Cousinia lasiophylla,西植新疆队,2135,1978.7.2,新疆维吾尔自治区 ,3000,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042414.jpg,,,,,,,,,, +丝毛刺头菊,Cousinia lasiophylla,西植新疆队,2135,1978729,,3000,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022852.jpg,,,,,,,,,, +硬苞刺头菊,Cousinia sclerolepis,陈又生,13-2289,20130906,新疆维吾尔自治区,3160,荒漠草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02013843.jpg,,,,,,,,,, +硬苞刺头菊,Cousinia sclerolepis,,73-162,1973.6.2,新疆维吾尔自治区 ,3100,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042424.jpg,,,,,,,,,, +硬苞刺头菊,Cousinia sclerolepis,,73-162,1973624,,3100,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022862.jpg,,,,,,,,,, +中甸山楂,Crataegus chungtienensis,康藏植物考察队,10-2642,20100823,云南省,3356,灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01966596.jpg,,,,,,,,,, +,Crataegus chungtienensis,"Forrest, George",12644,14-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00010908.jpg,,,,,,,,,, +中甸山楂,Crataegus chungtienensis,H.T.Tsai,57948,,云南省 ,2600,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0297971.jpg,,,,,,,,,, +滇西山楂,Crataegus oresbia,George Forrest,30043,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01153574.jpg,,,,,,,,,, +滇西山楂,Crataegus oresbia,Forrest Forrest No. 10613,16336,,"云南、西藏; YUNNAN, TIBET",,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00075438.jpg,,,,,,,,,, +滇西山楂,Crataegus oresbia,葛斌杰、王正伟、苏永欣,GBJ00948,20111123,浙江省,58.8,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0021497.jpg,,,,,,,,,, +,Crawfurdia crawfurdioides,,,,,,,,,,,,,,,,,,, +,Crawfurdia delavayi,,,,,,,,,,,,,,,,,,, +,Crawfurdia lobatilimba,,,,,,,,,,,,,,,,,,, +,Crawfurdia nyingchiensis,,,,,,,,,,,,,,,,,,, +,Crawfurdia semialata,,,,,,,,,,,,,,,,,,, +,Crawfurdia sessiliflora,,,,,,,,,,,,,,,,,,, +,Crawfurdia sinkuensis,,,,,,,,,,,,,,,,,,, +狭叶垂头菊,Cremanthodium angustifolium,陈又生,9617,20090827,四川省,4500,流水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053242.jpg,,,,,,,,,, +狭叶垂头菊,Cremanthodium angustifolium,,2264,19740823,西藏自治区,4500,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01565830.jpg,,,,,,,,,, +狭叶垂头菊,Cremanthodium angustifolium,H.Tabata etc.,20180,19830811,Koshi Zone,3800,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/723245.jpg,,,,,,,,,, +短缨垂头菊,Cremanthodium brachychaetum,王启无/C.W.Wang,64665,19350700,云南省,3500,grassy slope,Herbs,有花无果,https://image.cvh.ac.cn/files/l/PE/00030015.jpg,,,,,,,,,, +,Cremanthodium brachychaetum,C. W. Wang,64621,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00124647.jpg,,,,,,,,,, +,Cremanthodium brunneopilosum,D.E.Boufford et al.,39315,20070809,青海省,3850~3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912781.jpg,,,,,,,,,, +褐毛垂头菊,Cremanthodium brunneopilosum,陈桂琛等,1229,19980708,甘肃省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/186842.jpg,,,,,,,,,, +褐毛垂头菊,Cremanthodium brunneopilosum,俞德俊,13024,19570830,云南省 ,0~4200,,herb perennate.,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0597383.jpg,,,,,,,,,, +珠芽垂头菊,Cremanthodium bulbilliferum,X.H.Jin et al.,DLJ-ET 1810,20080710,西藏自治区,,"conifer forest,",,有花无果,https://image.cvh.ac.cn/files/l/PE/02053245.jpg,,,,,,,,,, +珠芽垂头菊,Cremanthodium bulbilliferum,"陈又生,毕延超",11-166,20110818,云南省,4361,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052009.jpg,,,,,,,,,, +柴胡叶垂头菊,Cremanthodium bupleurifolium,George Forrest,13228,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0597391.jpg,,,,,,,,,, +柴胡叶垂头菊,Cremanthodium bupleurifolium,"田效文,汤宗孝,张正华",797,19810806,云南省,3820,小叶杜鹃花灌丛草甸草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/01831190.jpg,,,,,,,,,, +柴胡叶垂头菊,Cremanthodium bupleurifolium,青藏队,2795,1981-7 1,四川省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0151735.jpg,,,,,,,,,, +长鞘垂头菊,Cremanthodium calcicola,Xiang JY,09-366,20090807,西藏自治区,3500,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01958819.jpg,,,,,,,,,, +长鞘垂头菊,Cremanthodium calcicola,北京所横断山队,3006,19810811,云南省,3880,高山沼泽草甸常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01535788.jpg,,,,,,,,,, +长鞘垂头菊,Cremanthodium calcicola,George Forrest,12711,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0597392.jpg,,,,,,,,,, +错那垂头菊,Cremanthodium conaense,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1011,20130812,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992460.jpg,,,,,,,,,, +错那垂头菊,Cremanthodium conaense,刘尚武,3489,19880819,西藏,4700,半阴坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028362.jpg,,,,,,,,,, +,Cremanthodium cordatum,,94,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01532230.jpg,,,,,,,,,, +,Cremanthodium cordatum,青藏队,2625,19740917,西藏自治区,4200,山谷草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570721.jpg,,,,,,,,,, +兜鞘垂头菊,Cremanthodium cucullatum,H.T.Tsai,53763,19330817,云南省,3500,on open slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570733.jpg,,,,,,,,,, +兜鞘垂头菊,Cremanthodium cucullatum,H.T.Tsai,53763,19791130,云南省 ,0~3600,,herb.,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0597404.jpg,,,,,,,,,, +,Cremanthodium cucullatum,"Tsai, H.T.",53763,17-Aug-33,,,,,,https://image.cvh.ac.cn/files/l/E/E00132394.jpg,,,,,,,,,, +稻城垂头菊,Cremanthodium daochengense,陈又生,9621,20090827,四川省,4598,湿沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052018.jpg,,,,,,,,,, +稻城垂头菊,Cremanthodium daochengense,张大才等,DC-2-4-7,20170725,四川,4400,沼泽灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0011438.jpg,,,,,,,,,, +细裂垂头菊,Cremanthodium dissectum,Y.C.Wu,363,,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00488239.jpg,,,,,,,,,, +细裂垂头菊,Cremanthodium dissectum,张盖曾,49,19760808,青海省,3500,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00488238.jpg,,,,,,,,,, +,Cremanthodium dissectum,"Yü, Tse-tsun",20055,3-Sep-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00413168.jpg,,,,,,,,,, +,Cremanthodium forrestii,"Yü, Tse-tsun",18764,7-Aug-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00413166.jpg,,,,,,,,,, +矢叶垂头菊,Cremanthodium forrestii,T.T.Yu,92654,19380806,云南省 ,0~3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0597421.jpg,,,,,,,,,, +矢叶垂头菊,Cremanthodium forrestii,"徐连升,柯芮",150146,20150000,云南省,,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084625.jpg,,,,,,,,,, +腺毛垂头菊,Cremanthodium glandulipilosum,西藏队植被组,6106,19750907,西藏自治区,5200,高山河谷湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570915.jpg,,,,,,,,,, +灰绿垂头菊,Cremanthodium glaucum,"杨亲二,孔宏智",98-204,19980820,云南省,3300,矿山附近山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831189.jpg,,,,,,,,,, +,Cremanthodium glaucum,"Rock, Joseph, F.",17162,28-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00499845.jpg,,,,,,,,,, +灰绿垂头菊,Cremanthodium glaucum,"杨亲二,孔宏智",98-204,19980820,云南,3300,矿山附近山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831189.jpg,,,,,,,,,, +矮垂头菊,Cremanthodium humile,George Forrest,20167,19210900,云南省,5000,Screes and ledges of limestone cliffs on the mountains,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570988.jpg,,,,,,,,,, +矮垂头菊,Cremanthodium humile,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1606,20130818,西藏自治区,,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992481.jpg,,,,,,,,,, +矮垂头菊,Cremanthodium humile,陈晓澄等,5327,20130818,青海,3730,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00022573.jpg,,,,,,,,,, +条裂垂头菊,Cremanthodium laciniatum,"倪志诚,汪永泽,次多,次旦",1213,19800817,西藏自治区,4600,高山流石坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571001.jpg,,,,,,,,,, +,Cremanthodium laciniatum,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-128-B17,20190819,四川,4242,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260036.jpg,,,,,,,,,, +条叶垂头菊,Cremanthodium lineare,D.E.Boufford et al.,39329,20070809,青海省,3850~3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912968.jpg,,,,,,,,,, +红花条叶垂头菊,Cremanthodium lineare,,s.n.,,重庆市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571040.jpg,,,,,,,,,, +条叶垂头菊,Cremanthodium lineare,苟新京,27号,19840700,青海,4700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028021.jpg,,,,,,,,,, +舌叶垂头菊,Cremanthodium lingulatum,西藏中草药普查队,4019,19720717,西藏自治区,4600~5000,山坡草甸灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571045.jpg,,,,,,,,,, +舌叶垂头菊,Cremanthodium lingulatum,H.T.Tsai,59959,19331022,云南省 ,0~2800,,herb.,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0597448.jpg,,,,,,,,,, +舌叶垂头菊,Cremanthodium lingulatum,王辰,LZ064,20120712,西藏,4100,,,,https://image.cvh.ac.cn/files/l/BNU/0014161.jpg,,,,,,,,,, +,Cremanthodium microglossum,王作宾,14531,19510722,甘肃省,4100,生乱石滩上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571046.jpg,,,,,,,,,, +,Cremanthodium microglossum,T.N.Ho et al,1691,19960812,青海省,4700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01822145.jpg,,,,,,,,,, +,Cremanthodium microglossum,北京所横断山队,3238,19810818,云南省,4200~4300,高山流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571049.jpg,,,,,,,,,, +小叶垂头菊,Cremanthodium microphyllum,王启无C.W.Wang,68917,19350800,云南省,3700,grassy slope,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00488258.jpg,,,,,,,,,, +小叶垂头菊,Cremanthodium microphyllum,吴玉虎,36819,20060713,青海,4660,高山流石坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028364.jpg,,,,,,,,,, +小叶垂头菊,Cremanthodium microphyllum,西藏中草药普查队,4454,19720821,西藏自治区,4800~5000,倒石堆,,有花无果,https://image.cvh.ac.cn/files/l/PE/01581323.jpg,,,,,,,,,, +显脉垂头菊,Cremanthodium nervosum,西藏中草药普查队,1694,19720831,西藏自治区,3500~3600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01581321.jpg,,,,,,,,,, +壮观垂头菊,Cremanthodium nobile,陈又生,9645,20090828,四川省,4500~4600,灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052008.jpg,,,,,,,,,, +壮观垂头菊,Cremanthodium nobile,陈又生,9737,20090905,云南省,3400,向阳草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052006.jpg,,,,,,,,,, +壮观垂头菊,Cremanthodium nobile,FLPH Tibet Expedition,12-1498,20120917,西藏自治区,4500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967089.jpg,,,,,,,,,, +硕首垂头菊,Cremanthodium obovatum,西藏中草药普查队,4364,19720823,西藏自治区,4800,石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01581325.jpg,,,,,,,,,, +叶状柄垂头菊,Cremanthodium phyllodineum,"陈又生,王泽欢",9342,20090808,西藏自治区,3900~4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052681.jpg,,,,,,,,,, +叶状柄垂头菊,Cremanthodium phyllodineum,T.T.Yu,19775,19380807,云南省,3900,Alpine grassland,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571088.jpg,,,,,,,,,, +叶状柄垂头菊,Cremanthodium phyllodineum,"李渤生,程树志,倪志诚",5603,19830720,西藏,4200,高山草甸湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831205.jpg,,,,,,,,,, +戟叶垂头菊,Cremanthodium potaninii,,549,19640720,青海省,4700,流水线,滑塌浅土坡上湿润处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082967.jpg,,,,,,,,,, +戟叶垂头菊,Cremanthodium potaninii,D.E.Boufford et al.,34086,20050803,四川省,4785~4900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913046.jpg,,,,,,,,,, +戟叶垂头菊,Cremanthodium potaninii,王作宾,14821,19510814,甘肃省,3600,高山草坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571102.jpg,,,,,,,,,, +长舌垂头菊,Cremanthodium prattii,蒋兴麟,36406,19530722,四川省,3150,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571134.jpg,,,,,,,,,, +,Cremanthodium prattii,彭玉兰、张君议、郑臣臣,THP-KD-3418,20170716,四川,3768~4150,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251696.jpg,,,,,,,,,, +方叶垂头菊,Cremanthodium principis,陈又生,9666,20090830,四川省,4330,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053250.jpg,,,,,,,,,, +方叶垂头菊,Cremanthodium principis,"田效文,张正华,汤宗孝",803,19810806,云南,3820,小叶杜鹃花灌丛草甸草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/01830916.jpg,,,,,,,,,, +,Cremanthodium principis,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-035-B01,20160816,四川,,高山栎群落中,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00610078.jpg,,,,,,,,,, +毛叶垂头菊,Cremanthodium puberulum,青藏队植被组,9367,19760731,西藏自治区,5044,阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571148.jpg,,,,,,,,,, +毛叶垂头菊,Cremanthodium puberulum,杨永昌,1073,19650630,青海省,4500,草坡滑塌处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571144.jpg,,,,,,,,,, +毛叶垂头菊,Cremanthodium puberulum,张灿明,89132,19890914,云南省,3900,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 002774.jpg,,,,,,,,,, +,Cremanthodium rhodocephalum,,,,,,,,,,,,,,,,,,, +长柱垂头菊,Cremanthodium rhodocephalum,"程树志,李渤生",164,19820815,西藏自治区,4000~4100,高山灌丛草甸中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067851.jpg,,,,,,,,,, +长柱垂头菊,Cremanthodium rhodocephalum,"D.E.Boufford,J.F.Harber & X.H.Li",43413,20130903,云南省,3900~3940,"Secondary Picea-Abies forest,with scattered Acer,area partially destroyed by forest fire in 1990s,few old trees remaining,mostly young trees.Open,stony,moist soil on steep slopes.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01901907.jpg,,,,,,,,,, +铲叶垂头菊,Cremanthodium sino-oblongatum,中甸队,1666,19620831,云南省,3950,矮杜鹃灌丛沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571190.jpg,,,,,,,,,, +,Cremanthodium sino-oblongatum,,,,,,,,,,,,,,,,,,, +铲叶垂头菊,Cremanthodium sino-oblongatum,王启无C.W.Wang,65850,19350800,云南省 ,,Meadow,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00488274.jpg,,,,,,,,,, +匙叶垂头菊,Cremanthodium spathulifolium,青藏队,2204,19740910,西藏自治区,2920,灌丛林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571214.jpg,,,,,,,,,, +毛花垂头菊,Cremanthodium spathulifolium,郝加琛,周瑜,16967,20160818,青海省,1700,山坡,木本,,https://image.cvh.ac.cn/files/l/BNU/0030097.jpg,,,,,,,,,, +膜苞垂头菊,Cremanthodium stenactinium,D.E.Boufford et al,31582,20040802,西藏自治区,4190,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01912859.jpg,,,,,,,,,, +膜苞垂头菊,Cremanthodium stenactinium,藏药队,1316,19720825,青海省,3750,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831225.jpg,,,,,,,,,, +膜苞垂头菊,Cremanthodium stenactinium,藏药队,1316,19720825,青海,3750,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831225.jpg,,,,,,,,,, +狭舌垂头菊,Cremanthodium stenoglossum,D.E.Boufford et al.,33338,20050721,四川省,4365~4620,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913041.jpg,,,,,,,,,, +狭舌垂头菊,Cremanthodium stenoglossum,T.N.Ho et al,1669,19960812,青海,4600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01822146.jpg,,,,,,,,,, +狭舌垂头菊,Cremanthodium stenoglossum,"D.E.Boufford, B.Bartholomew, D.A.Eaton, X.H.Li, R.",41054,20090725,西藏,4600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026708.jpg,,,,,,,,,, +木里垂头菊,Cremanthodium suave,FLPH Sichuan Expedition,152026,20150902,四川省,3750,岩壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084617.jpg,,,,,,,,,, +木里垂头菊,Cremanthodium suave,,202265,19600804,四川,4200,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719402019.jpg,,,,,,,,,, +木里垂头菊,Cremanthodium suave,George Forrest,22122,,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570942.jpg,,,,,,,,,, +裂舌垂头菊,Cremanthodium trilobum,青藏队植被组,2673,19740810,西藏自治区,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01581324.jpg,,,,,,,,,, +变叶垂头菊,Cremanthodium variifolium,王启无,64810,19350700,云南省,3500,Just below snow line dry slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571238.jpg,,,,,,,,,, +变叶垂头菊,Cremanthodium variifolium,武素功,2238,19590716,四川,4200,山顶阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831471.jpg,,,,,,,,,, +变叶垂头菊,Cremanthodium variifolium,武素功,2238,19590716,四川省,4200,山顶阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831471.jpg,,,,,,,,,, +亚东垂头菊,Cremanthodium yadongense,青藏队植被组,6587,19750730,西藏自治区,4780,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01581320.jpg,,,,,,,,,, +杜鹃兰,Cremastra appendiculata,Ching-I Peng et al.,14940,19920402,台湾省,1400,Broadleaf forest moist sloope along paved road,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555897.jpg,,,,,,,,,, +杜鹃兰,Cremastra appendiculata,中苏调查团,6276,19550510,云南省 ,0~2500,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625384.jpg,,,,,,,,,, +杜鹃兰,Cremastra appendiculata,董安淼,吴从梅,TanCM883,20111101,江西,960,山谷林缘,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1393731.jpg,,,,,,,,,, +浅裂沼兰,Crepidium acuminatum,吴磊、黄存忠,GD2020041901,20200419,湖南,550,山坡密林,直立草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI071997.jpg,,,,,,,,,, +浅裂沼兰,Crepidium acuminatum,肖斯悦;席辉辉;王兆春,KIBGX115B04,20190924,云南,1056,毛枝青冈林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1559345.jpg,,,,,,,,,, +,Crepidium aphyllum,,,,,,,,,,,,,,,,,,, +,Crepidium calophyllum,,,,,,,,,,,,,,,,,,, +,Crepidium josephianum,,,,,,,,,,,,,,,,,,, +细茎沼兰,Crepidium khasianum,李剑武,1543,20120618,云南,1100,石灰山,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027685.jpg,,,,,,,,,, +,Crepidium purpureum,,,,,,,,,,,,,,,,,,, +南洋假脉蕨,Crepidomanes bipunctatum,北京队,894675,19890601,广西壮族自治区,650,石壁溪边,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/02018747.jpg,,,,,,,,,, +南洋假脉蕨,Crepidomanes bipunctatum,严岳鸿,沈浩贤,5547,20080113,香港,400,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00014567.jpg,,,,,,,,,, +南洋假脉蕨,Crepidomanes bipunctatum,Sun Hong Fan,s.n.,19560000,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01654029.jpg,,,,,,,,,, +翅炳假脉蕨,Crepidomanes latealatum,卫然,WR0352,20161025,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02109271.jpg,,,,,,,,,, +翅炳假脉蕨,Crepidomanes latealatum,徐养鹏,1769,19640915,甘肃省,1300,林下石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00239498.jpg,,,,,,,,,, +翅柄假脉蕨,Crepidomanes latealatum,候小琪,GYZ005,20160327,贵州,,水旁,草本,无孢子囊,https://image.cvh.ac.cn/files/l/GYBG/GYBG0008211.jpg,,,,,,,,,, +西藏瓶蕨,Crepidomanes schmidianum,金摄郎、张九兵,JSL-WLSQ 658,20131117,湖南省,1820,,,无孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0031678.jpg,,,,,,,,,, +西藏瓶蕨,Crepidomanes schmidianum,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07352,20160914,西藏,1587,疏林下岩石上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136069.jpg,,,,,,,,,, +藏滇还阳参,Crepis elongata,泛喜马拉雅植物志巴基斯坦采集队,FPH-0163,20120619,,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004572.jpg,,,,,,,,,, +藏滇还阳参,Crepis elongata,赵清盛,371,19890718,四川省,2100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235751.jpg,,,,,,,,,, +藏滇还阳参,Crepis elongata,FLPH Tibet Expedition,12-0587B,20120914,西藏自治区,3709,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967177.jpg,,,,,,,,,, +,Crinum amoenum,,,,,,,,,,,,,,,,,,, +西南文殊兰,Crinum latifolium,,2460,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0359596.jpg,,,,,,,,,, +西南文殊兰,Crinum latifolium,T.N.Liou & C.Wang,631,19390809,四川省,450,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00110102.jpg,,,,,,,,,, +西南文殊兰,Crinum latifolium,高锡朋,55393,19350625,广西壮族自治区,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0638238.jpg,,,,,,,,,, +,Crinum lorifolium,,,,,,,,,,,,,,,,,,, +,Crinum wattii,,,,,,,,,,,,,,,,,,, +杏仁厚壳桂,Cryptocarya amygdalina,青藏队,74-1801,19400812,西藏自治区,1100,山坡 常绿林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01561757.jpg,,,,,,,,,, +杏仁厚壳桂,Cryptocarya amygdalina,M. Mikage & A. Takahashi,9611776,19960117,,150~160,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293640.jpg,,,,,,,,,, +,Cryptocarya burkillii,,,,,,,,,,,,,,,,,,, +,Cryptochilus acuminatus,,,,,,,,,,,,,,,,,,, +宿苞兰,Cryptochilus luteus,Shui Yumin et al.,10887,19990911,云南省,1950,on stone,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033601.jpg,,,,,,,,,, +宿苞兰,Cryptochilus luteus,王启无,86449,19400129,云南省 ,0~1000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0625391.jpg,,,,,,,,,, +宿苞兰,Cryptochilus luteus,K.M.Feng,12794,1947/11/3,云南,1600,,herb,无花有果,https://image.cvh.ac.cn/files/l/WUK/0207694.jpg,,,,,,,,,, +,Cryptochilus sanguineus,"李渤生,程树志",5128,19830617,西藏自治区,1800,山坡灌林中树上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376938.jpg,,,,,,,,,, +高山珠蕨,Cryptogramma brunoniana,鞠文彬,张良,陈德奎,AZH01269,20160616,四川,2925,冷杉林下石壁,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254565.jpg,,,,,,,,,, +高山珠蕨,Cryptogramma brunoniana,高信芬、朱章明、赵雪利、张良,12338,20100713,西藏,3980,高山灌丛,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0229089.jpg,,,,,,,,,, +高山珠蕨,Cryptogramma brunoniana,"张宪春,蒋日红,黄尔峰",8980,20170823,四川省,2800,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234224.jpg,,,,,,,,,, +珠蕨,Cryptogramma raddeana,傅坤俊,9447,1957/7/9,陕西省,2690,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0090824.jpg,,,,,,,,,, +珠蕨,Cryptogramma raddeana,孔宪需、李伟、吕发强,6717,1984-9 8,西藏,3450,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0001265.jpg,,,,,,,,,, +珠蕨,Cryptogramma raddeana,K.M.Feng,7766,19400915,云南省,3800,岩坡上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01569252.jpg,,,,,,,,,, +稀叶珠蕨,Cryptogramma stelleri,"D.E.Boufford,B.Bartholomew et al.",41936,20090804,西藏自治区,3900,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01964730.jpg,,,,,,,,,, +,Cryptogramma stelleri,高信芬,鞠文彬,郑臣臣,THP-KD-5754,20170808,四川,4213,草地灌丛,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252853.jpg,,,,,,,,,, +稀叶珠蕨,Cryptogramma stelleri,王忠涛等,477,20070628,新疆维吾尔自治区,1950,山坡草地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01914430.jpg,,,,,,,,,, +柳杉,Cryptomeria japonica var. sinensis,赵常明,EX0232,20070830,湖北省,1100,人工林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815274.jpg,,,,,,,,,, +柳杉,Cryptomeria japonica var. sinensis,黄燮才,99,19640617,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI002006.jpg,,,,,,,,,, +柳杉,Cryptomeria japonica var. sinensis,苏享修,CSH14174,20161023,福建省,675,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0138148.jpg,,,,,,,,,, +亮鳞肋毛蕨,Ctenitis subglandulosa,朱鑫鑫;易思荣;王君,CZ0004,20180331,重庆,893,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0153935.jpg,,,,,,,,,, +亮鳞肋毛蕨,Ctenitis subglandulosa,马金双、寿海洋,SHY00691,20121031,湖北省,154,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0015931.jpg,,,,,,,,,, +亮鳞肋毛蕨,Ctenitis subglandulosa,D.E.Boufford & B.Bartholomew et al.,25180,19890926,台湾省,650,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01729523.jpg,,,,,,,,,, +虎尾蒿蕨,Ctenopteris subfalcata,成晓,魏奇,公艳芬,FB486,20130823,云南,2333~2530,,,,https://image.cvh.ac.cn/files/l/KUN/1406362.jpg,,,,,,,,,, +虎尾蒿蕨,Ctenopteris subfalcata,South Tibet Expedition Team(STET),STET1749,20100731,西藏自治区,2000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02013651.jpg,,,,,,,,,, +虎尾蒿蕨,Ctenopteris subfalcata,孔宪需,3195,,四川省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01193536.jpg,,,,,,,,,, +杉木,Cunninghamia lanceolata,麦鹤云,20971,19500823,宋昌,,山边,,,https://image.cvh.ac.cn/files/l/PEY/PEY0000418.jpg,,,,,,,,,, +杉木,Cunninghamia lanceolata,肖运峰、谢文忠,62,1981.4.17.,安徽,650~800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0015132.jpg,,,,,,,,,, +杉木,Cunninghamia lanceolata,刘青林,88,19860729,京都市,,,,无花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH003230.jpg,,,,,,,,,, +,Cupressus chengiana,,,,,,,,,,,,,,,,,,, +干香柏,Cupressus duclouxiana,林秦文,2013-028,20130527,云南省,1600~1750,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02041073.jpg,,,,,,,,,, +干香柏,Cupressus duclouxiana,Damon P.Little and Chen Wenyun,848,20020828,云南省 ,1790,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1223580.jpg,,,,,,,,,, +干香柏,Cupressus duclouxiana,,30014,19330602,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00063135.jpg,,,,,,,,,, +柏木,Cupressus funebris,陈倬,,19620420,山东,,,,无花无果,https://image.cvh.ac.cn/files/l/JSPC/JSPC106248.jpg,,,,,,,,,, +柏木,Cupressus funebris,川黔队,773,19560716,重庆市,500,山坡 阳,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083230.jpg,,,,,,,,,, +柏木,Cupressus funebris,"刘金鉴,田景全",206,19631013,四川省,1000,山谷路旁 密林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092039.jpg,,,,,,,,,, +,Cupressus gigantea,,,,,,,,,,,,,,,,,,, +,Cupressus rushforthii,,,,,,,,,,,,,,,,,,, +西藏柏木,Cupressus torulosa,E.H. Wilson,2106,,四川; Sichuan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00001488.jpg,,,,,,,,,, +西藏柏木,Cupressus torulosa,C.T.White,3292,19260724,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00063151.jpg,,,,,,,,,, +西藏柏木,Cupressus torulosa,周仲凯,39,19940412,湖南,,山地密林山地,乔木,无花无果,https://image.cvh.ac.cn/files/l/NYA/NYA0004107.jpg,,,,,,,,,, +大叶仙茅,Curculigo capitulata,Tsang W.T.,29164,1939/6/6,东京; Tonkin,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00025002.jpg,,,,,,,,,, +大叶仙茅,Curculigo capitulata,Tsang W.T.,22091,1933/4/4,广西; KWANGSI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00024971.jpg,,,,,,,,,, +大叶仙茅,Curculigo capitulata,刘沁祈,26113,19360406,海南省,,野生密林中密荫乾燥,中等土,,有花无果,https://image.cvh.ac.cn/files/l/PE/00110136.jpg,,,,,,,,,, +绒叶仙茅,Curculigo crassifolia,绿春队,1788,19740608,云南省,1900,山脊次生灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239309.jpg,,,,,,,,,, +绒叶仙茅,Curculigo crassifolia,何德明,张挺,丰燕飞,刘成,WSLJS411,20120703,云南,1813,林缘开荒地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1393017.jpg,,,,,,,,,, +绒叶仙茅,Curculigo crassifolia,M.K.Li,976,19391030,云南省 ,0~1600,,Herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0639770.jpg,,,,,,,,,, +仙茅,Curculigo orchioides,陶德定,493,19731001,云南省,530,沟谷林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239315.jpg,,,,,,,,,, +仙茅,Curculigo orchioides,张宏达 黄成,130,,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00024989.jpg,,,,,,,,,, +仙茅,Curculigo orchioides,平乐县普查队,450330180909042LY,20180909,广西,623,草丛,阳坡,黄棕壤,少野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00413601.jpg,,,,,,,,,, +,Curculigo prainiana,,,,,,,,,,,,,,,,,,, +,Curcuma amada,,,,,,,,,,,,,,,,,,, +郁金,Curcuma aromatica,S.Y.Hu,20623,19920518,香港,,found forming a small colony along a wet ditch,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790359.jpg,,,,,,,,,, +郁金,Curcuma aromatica,川经乐,5094,19590521,四川,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/424454.jpg,,,,,,,,,, +郁金,Curcuma aromatica,浙江队,8588,19621028,浙江省,,栽培,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00556373.jpg,,,,,,,,,, +姜黄,Curcuma longa,叶华谷,刑福武,9193,20030927,澳门,0~120,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0659720.jpg,,,,,,,,,, +姜黄,Curcuma longa,刘正宇,20968,19960615,云南省,750,栽培?,,有花无果,https://image.cvh.ac.cn/files/l/PE/00001220.jpg,,,,,,,,,, +姜黄,Curcuma longa,孙航,邓涛等,sunhang14374,20130424,,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1256967.jpg,,,,,,,,,, +,Curcuma montana,,,,,,,,,,,,,,,,,,, +莪术,Curcuma phaeocaulis,黄建平,C290245,20190411,云南,570,,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030627.jpg,,,,,,,,,, +莪术,Curcuma phaeocaulis,无,,,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/030182.jpg,,,,,,,,,, +莪术,Curcuma phaeocaulis,"童绍全,李安明",32802,19820517,云南省,0,田边潮湿,,,https://image.cvh.ac.cn/files/l/KUN/1268341.jpg,,,,,,,,,, +,Curcuma rubescens,,,,,,,,,,,,,,,,,,, +,Cuscuta macrolepis,,,,,,,,,,,,,,,,,,, +,Cyananthus fasciculatus,,,,,,,,,,,,,,,,,,, +,Cyananthus formosus,,,,,,,,,,,,,,,,,,, +,Cyananthus lichiangensis,,,,,,,,,,,,,,,,,,, +,Cyananthus macrocalyx,,,,,,,,,,,,,,,,,,, +,Cyananthus sericeus,,,,,,,,,,,,,,,,,,, +蛛丝毛蓝耳草,Cyanotis arachnoidea,浙江天然药物调查队,3342,19600910,浙江省,,岩石上,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00540968.jpg,,,,,,,,,, +蛛丝毛蓝耳草,Cyanotis arachnoidea,石国良,13210,1977/10/10,广东,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0425485.jpg,,,,,,,,,, +蛛丝毛蓝耳草,Cyanotis arachnoidea,广西队,2776,19530711,广西壮族自治区,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00778037.jpg,,,,,,,,,, +鞘苞花,Cyanotis axillaris,弄岗棕考队,20057,19790921,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI044371.jpg,,,,,,,,,, +鞘苞花,Cyanotis axillaris,农东新,蓝祖栽,莫水松,451421150911038LY,20150911,广西,136,草丛,路旁,黄棕壤,草本,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0187713.jpg,,,,,,,,,, +四孔草,Cyanotis cristata,H.Y.Liang,63494,19331018,海南省 ,,,herb,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00540984.jpg,,,,,,,,,, +四孔草,Cyanotis cristata,"李振宇,闫丽春,农必明,李东方",1639,19981026,广西壮族自治区,840,山谷、水旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017553.jpg,,,,,,,,,, +四孔草,Cyanotis cristata,陈念劬,43465,19320816,海南省,1700,在玉蜀黍田中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00778091.jpg,,,,,,,,,, +,Cyanotis fasciculata,,,,,,,,,,,,,,,,,,, +蓝耳草,Cyanotis vaga,刘心祈,24135,19240828,广东,,山脚,草本平卧,有花无果,https://image.cvh.ac.cn/files/l/SN/SN004031.jpg,,,,,,,,,, +土贝母,Cyanotis vaga,刘生新,,19860624,山西省,1060,,,,https://image.cvh.ac.cn/files/l/SSMM/0002968.jpg,,,,,,,,,, +蓝耳草,Cyanotis vaga,M.Wakabayashi etc.,9730398,19970830,,1910,on edges of cultivation,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261285.jpg,,,,,,,,,, +,Cyclobalanopsis kiukiangensis,,,,,,,,,,,,,,,,,,, +,Cyclobalanopsis motuoensis,,,,,,,,,,,,,,,,,,, +耳羽钩毛蕨,Cyclogramma auriculata,T.Murakami et al.,s.n.,19761218,台湾省,400,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01686454.jpg,,,,,,,,,, +耳羽钩毛蕨,Cyclogramma auriculata,成晓,魏奇,公艳芬,FB449,20130823,云南,2333~2530,,,,https://image.cvh.ac.cn/files/l/KUN/1406005.jpg,,,,,,,,,, +耳羽钩毛蕨,Cyclogramma auriculata,邱炳云,596272,19641022,云南省,2100~2300,山谷水沟边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01938580.jpg,,,,,,,,,, +狭基钩毛蕨,Cyclogramma leveillei,,391,19140000,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00788744.jpg,,,,,,,,,, +狭基钩毛蕨,Cyclogramma leveillei,秦林川等,108,20071003,广东省,660,石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01786696.jpg,,,,,,,,,, +狭基钩毛蕨,Cyclogramma leveillei,向良凤.向良笔,85,20081005,湖南省,500~600,石灰岩峡谷,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01914463.jpg,,,,,,,,,, +西藏钩毛蕨,Cyclogramma tibetica,South Tibet Expedition Team(STET),STET2740,20100812,西藏自治区,2100,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02013515.jpg,,,,,,,,,, +西藏钩毛蕨,Cyclogramma tibetica,"刘成, 亚吉东",18CS17773,20181201,西藏,1372,常绿阔叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1487028.jpg,,,,,,,,,, +,Cyclorhiza peucedanifolia,中甸队,1218,19620818,云南省,1720,砾石坡面草地中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00725633.jpg,,,,,,,,,, +南竹叶环根芹,Cyclorhiza peucedanifolia,刘照光,343,1971-7 2,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0101915.jpg,,,,,,,,,, +,Cyclorhiza peucedanifolia,"Forrest, George",11081,13-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00000122.jpg,,,,,,,,,, +环根芹,Cyclorhiza waltonii,K.M.Feng,2935,19390908,云南省,2300,on open stony hillside,,无花有果,https://image.cvh.ac.cn/files/l/PE/00725630.jpg,,,,,,,,,, +环根芹,Cyclorhiza waltonii,PE西藏队,PE5109,20170825,西藏自治区,3788,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330195.jpg,,,,,,,,,, +环根芹,Cyclorhiza waltonii,青藏队,3167,19810803,四川省,2600,山坡 碎石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129752.jpg,,,,,,,,,, +干旱毛蕨,Cyclosorus aridus,"李明生,李振宇等",6023,19860803,福建省,300,山坡路旁,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01866198.jpg,,,,,,,,,, +干旱毛蕨,Cyclosorus aridus,刘正宇等,S-0260,20160311,重庆,991,林下,草本,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0050593.jpg,,,,,,,,,, +干旱毛蕨,Cyclosorus aridus,罗城县普查队,451225130430047LY,20130430,广西,297,阔叶林,林下,黄棕壤,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMG/GXMG0113966.jpg,,,,,,,,,, +,Cyclosorus articulatus,"朱鑫鑫, 王君, 林庶",ZXX191873,20191217,云南,981,亚热带季雨林,林中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1483131.jpg,,,,,,,,,, +节状毛蕨,Cyclosorus articulatus,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07318,20160912,西藏,,近江边疏林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135820.jpg,,,,,,,,,, +,Cyclosorus articulatus,王中仁,C765,19860909,贵州省,530,阴湿山沟石山,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01866204.jpg,,,,,,,,,, +鳞柄毛蕨,Cyclosorus crinipes,严岳鸿等,7048,20080812,海南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01866470.jpg,,,,,,,,,, +鳞柄毛蕨,Cyclosorus crinipes,South Tibet Expedition Team (STET),STET1903,20100801,西藏自治区,1700,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02013588.jpg,,,,,,,,,, +鳞柄毛蕨,Cyclosorus crinipes,李中阳、张斌,PT657,20160805,海南,400,路边疏林下小水沟边,,有孢子囊,https://image.cvh.ac.cn/files/l/GNNU/GNNU0009776.jpg,,,,,,,,,, +齿牙毛蕨,Cyclosorus dentatus,商辉、王正伟,SG1245,20160529,Coast Taita Taveta county,,沟边,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0143546.jpg,,,,,,,,,, +齿牙毛蕨,Cyclosorus dentatus,曾宪锋,ZXF35620,20170817,广东,11,平原、平地,多年生直立草本,有孢子囊群,https://image.cvh.ac.cn/files/l/CZH/CZH0030901.jpg,,,,,,,,,, +齿牙毛蕨,Cyclosorus dentatus,青藏队,1207,19800403,福建省,100,山沟水边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01866236.jpg,,,,,,,,,, +展羽毛蕨,Cyclosorus evolutus,韦宏金、张九兵、王莹,WYG132,20141016,贵州省,,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0043768.jpg,,,,,,,,,, +展羽毛蕨,Cyclosorus evolutus,"刘恩德, 邹娇, 董洪进, 肖波, 周天, 赵晨光, 陈志坚",LED9321,20191214,云南,1143,无,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1495655.jpg,,,,,,,,,, +展羽毛蕨,Cyclosorus evolutus,"张宪春,刘以诚",5937,20090808,重庆市,700,溪边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02065568.jpg,,,,,,,,,, +,Cyclosorus gustavii,"李中阳,卫然",WR0224,20111209,云南省,1100,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871925.jpg,,,,,,,,,, +闽台毛蕨,Cyclosorus jaculosus,"张朝芳,王若谷",7606,19820829,浙江省,30,沟边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01866256.jpg,,,,,,,,,, +闽台毛蕨,Cyclosorus jaculosus,海峡两岸植物采集队,9299,20090804,湖南省,300~400,溪边林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01866501.jpg,,,,,,,,,, +闽台毛蕨,Cyclosorus jaculosus,"李中阳,卫然,张红瑞",7473,20150824,贵州省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02056031.jpg,,,,,,,,,, +墨脱毛蕨,Cyclosorus medogensis,张宪春,6644,20101115,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871463.jpg,,,,,,,,,, +墨脱毛蕨,Cyclosorus medogensis,藏南考察队,STET2257,20100806,西藏自治区,900,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871456.jpg,,,,,,,,,, +墨脱毛蕨,Cyclosorus medogensis,Qinghai-Xizang. Exped. (青藏队), 74-4610,19740829,西藏,1000,山坡阔叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1217180.jpg,,,,,,,,,, +美丽毛蕨,Cyclosorus molliusculus,谭士贤、张进伦,6589,19840808,重庆市,450,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0005326.jpg,,,,,,,,,, +美丽毛蕨,Cyclosorus molliusculus,蒋日红、杨金财、莫水松,11556-B,20120422,广西壮族自治区,680,"山坡疏林, 少见",匍匐草本,,https://image.cvh.ac.cn/files/l/IBK/IBK00308789.jpg,,,,,,,,,, +美丽毛蕨,Cyclosorus molliusculus,农素芸、黄洋,GPS003,20200908,广西,~,,,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00433105.jpg,,,,,,,,,, +蝶状毛蕨,Cyclosorus papilio,South Tibet Expedition Team(STET),STET1899,20100801,西藏自治区,1500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02013519.jpg,,,,,,,,,, +蝶状毛蕨,Cyclosorus papilio,武素功,向建英,70083,20070811,云南省 ,1400~1500,in the valley of the broad-leaf forest,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1225884.jpg,,,,,,,,,, +蝶状毛蕨,Cyclosorus papilio,E.Rosenstock,16,19140000,台湾省,800,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00822079.jpg,,,,,,,,,, +华南毛蕨,Cyclosorus parasiticus,侯元同,郭成勇,侯元兔,曹灵杰,20180426106-1,20180426,海南,36,路旁湿地,草本,有孢子囊,https://image.cvh.ac.cn/files/l/QFNU/QFNU0047878.jpg,,,,,,,,,, +华南毛蕨,Cyclosorus parasiticus,武素功,向建英,70031,20070809,云南省 ,1450,Under the ever-green broad-leaf forest,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1226009.jpg,,,,,,,,,, +华南毛蕨,Cyclosorus parasiticus,"周喜乐,黄玉滢",2744,20091026,湖南省,500~700,山地,路边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01866514.jpg,,,,,,,,,, +,Cyclosorus procerus,South Tibet Expedition Team (STET),STET1750,20100731,西藏自治区,1100,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02013596.jpg,,,,,,,,,, +,Cyclosorus procerus,"李中阳,卫然",WR0228,20111209,云南省,1500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871923.jpg,,,,,,,,,, +,Cyclosorus procerus,Robert L.Fleming,1659,19610806,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01686576.jpg,,,,,,,,,, +,Cyclosorus siamensis,,,,,,,,,,,,,,,,,,, +截裂毛蕨,Cyclosorus truncatus,L.F.Rock,2550,19220222,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00151509.jpg,,,,,,,,,, +截裂毛蕨,Cyclosorus truncatus,王中仁,440,19771231,云南省,1060,路棚大箐山沟溪边林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01866538.jpg,,,,,,,,,, +截裂毛蕨,Cyclosorus truncatus,"魏雪苹,卫然",WXP096,20101220,海南省,1500,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871459.jpg,,,,,,,,,, +武陵毛蕨,Cyclosorus wulingshanensis,金佛山考察队,1364,19860624,重庆市,850,溪边山坡林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01866543.jpg,,,,,,,,,, +武陵毛蕨,Cyclosorus wulingshanensis,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4487,20160914,西藏,1596,疏林下,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136421.jpg,,,,,,,,,, +武陵毛蕨,Cyclosorus wulingshanensis,李东,84,20040800,四川省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01866356.jpg,,,,,,,,,, +,Cylindrolobus arunachalensis,,,,,,,,,,,,,,,,,,, +,Cylindrolobus biflorus,,,,,,,,,,,,,,,,,,, +,Cylindrolobus clavicaulis,,,,,,,,,,,,,,,,,,, +,Cylindrolobus cristatus,,,,,,,,,,,,,,,,,,, +中缅柱兰,Cylindrolobus glabriflorus,金效华,亚吉东,18HT1618,20180412,Kachin State,2200,"subtropical, evergreen, broad-leaved, humid montane forest",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1442758.jpg,,,,,,,,,, +中缅柱兰,Cylindrolobus glabriflorus,亚吉东,刘成,18HT2568,20190402,西藏,1796,亚热带常绿阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1442760.jpg,,,,,,,,,, +,Cylindrolobus gloensis,,,,,,,,,,,,,,,,,,, +,Cylindrolobus hegdei,,,,,,,,,,,,,,,,,,, +,Cylindrolobus lohitensis,,,,,,,,,,,,,,,,,,, +,Cylindrolobus marginatus,,,,,,,,,,,,,,,,,,, +墨脱柱兰,Cylindrolobus motuoensis,亚吉东,刘成,何华杰,17HT0073,20170226,西藏,2000,亚热带常绿阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1442759.jpg,,,,,,,,,, +,Cylindrolobus tenuicaulis,,,,,,,,,,,,,,,,,,, +纹瓣兰,Cymbidium aloifolium,中越考察队,768,19641223,山西省,210,石灰岩林山溪边附生树,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0020016.jpg,,,,,,,,,, +纹瓣兰,Cymbidium aloifolium,,11059,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625393.jpg,,,,,,,,,, +纹瓣兰,Cymbidium aloifolium,吉占和,92-89,19920320,云南省,650,林缘 树上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01517626.jpg,,,,,,,,,, +垂花兰,Cymbidium cochleare,Jin Xiaohua,11854,20111102,云南省,1800~2300,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032971.jpg,,,,,,,,,, +垂花青兰,Cymbidium cochleare,张重岭,583,20180618,内蒙古,,山坡阔叶林下,,无花无果,https://image.cvh.ac.cn/files/l/YAK/YAK0005188.jpg,,,,,,,,,, +莎叶兰,Cymbidium cyperifolium,方鼎 王振刚,78463,19840120,,1250,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI052632.jpg,,,,,,,,,, +莎叶兰,Cymbidium cyperifolium,邬文祥,8676,19890120,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585578.jpg,,,,,,,,,, +莎叶兰,Cymbidium cyperifolium,Yu Shengxiang,4224,20101116,云南省,1100,under evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01914677.jpg,,,,,,,,,, +,Cymbidium cyperifolium var. szechuanicum,,,,,,,,,,,,,,,,,,, +冬凤兰,Cymbidium dayanum,刘心祈,26122,19360406,海南岛,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00145208.jpg,,,,,,,,,, +冬凤兰,Cymbidium dayanum,郭本兆,9173,19710617,青海省,0,草下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0020179.jpg,,,,,,,,,, +冬凤兰,Cymbidium dayanum,邬文祥,8324,19861206,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585579.jpg,,,,,,,,,, +,Cymbidium devonianum,,,,,,,,,,,,,,,,,,, +,Cymbidium eburneum,刘仲健,3032,20050420,广西壮族自治区,800,疏林树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01432234.jpg,,,,,,,,,, +独占春,Cymbidium eburneum,梁向日,65296,19340225,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00145211.jpg,,,,,,,,,, +独占春,Cymbidium eburneum,邬文祥,8864,19900404,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585580.jpg,,,,,,,,,, +莎草兰,Cymbidium elegans,H.T.Tsai,59113,19341030,云南省 ,0~2000,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625463.jpg,,,,,,,,,, +莎草兰,Cymbidium elegans,西藏中草药普查队,613,19720629,西藏自治区,3700,灌木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485458.jpg,,,,,,,,,, +莎草兰,Cymbidium elegans,郭永杰,聂细转,黄秋月,何疆海,白黎虹,12CS4827,20120315,云南,1853,林中,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1393743.jpg,,,,,,,,,, +建兰,Cymbidium ensifolium,邓懋彬 魏宏图,81425,19821019,安徽省,250,山坡林下,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00002470.jpg,,,,,,,,,, +建兰,Cymbidium ensifolium,四川大学生物系植物调查队,54571,,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00026858.jpg,,,,,,,,,, +建兰,Cymbidium ensifolium,A.N. Steward,,1931/3/3,江苏; KAINGSU,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00026554.jpg,,,,,,,,,, +长叶兰,Cymbidium erythraeum,韩周东,HZD20109,20201001,云南,2261,中山湿性常绿阔叶林林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507841.jpg,,,,,,,,,, +长叶兰,Cymbidium erythraeum,邬文祥,9619,19941016,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585583.jpg,,,,,,,,,, +长叶兰,Cymbidium erythraeum,王崇杰,14421,19981015,西藏自治区,1200~3500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866883.jpg,,,,,,,,,, +蕙兰,Cymbidium faberi,张思宇,朱科润,邵剑文,ZSY0099,20200816,安徽,657,山坡林地,草本,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0205477.jpg,,,,,,,,,, +蕙兰,Cymbidium faberi,西北大学生物系,489,1969/7/5,陕西,,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0184743.jpg,,,,,,,,,, +蕙兰,Cymbidium faberi,F.A.McClure,1566,1921-10-,海南; HAINAN,300,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00026566.jpg,,,,,,,,,, +多花兰,Cymbidium floribundum,"戴伦鹰,钱重海",1009,19510906,湖北省,930,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00292218.jpg,,,,,,,,,, +多花兰,Cymbidium floribundum,邬文祥,8364,19870524,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585567.jpg,,,,,,,,,, +多花兰,Cymbidium floribundum,李健玲、牟光福、苏钰岚,GPS190426018,20190426,广西,,山坡,林下,石壁,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI073497.jpg,,,,,,,,,, +春兰,Cymbidium goeringii,金效华,494,20000000,贵州省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820727.jpg,,,,,,,,,, +春兰,Cymbidium goeringii,K.Kondo,2050,19270423,九州,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0020292.jpg,,,,,,,,,, +春兰,Cymbidium goeringii,生科院13级实习小组,LXP13--JX4564,20140720,江西,,山谷、壤土、阴处稀有种, 陆生、草本、直立 ,无花有果,https://image.cvh.ac.cn/files/l/SYS/SYS00203194.jpg,,,,,,,,,, +虎头兰,Cymbidium hookerianum,农东新、谢月英、蓝祖栽,451031150312022LY,20150312,广西,,阔叶林,沟边,黄棕壤,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0191747.jpg,,,,,,,,,, +虎头兰,Cymbidium hookerianum,邓永康,1,19870305,四川省,500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00292397.jpg,,,,,,,,,, +虎头兰,Cymbidium hookerianum,邓世纬,1555,19351112,贵州省,0,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625684.jpg,,,,,,,,,, +黄蝉兰,Cymbidium iridioides,邬文祥,8876,19900404,江苏省,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00586130.jpg,,,,,,,,,, +黄蝉兰,Cymbidium iridioides,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11984,20161119,西藏,849,林下小路边,附生植物,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445189.jpg,,,,,,,,,, +黄蝉兰,Cymbidium iridioides,张肇骞,10811,19571105,广西壮族自治区,0~900,,草本附生白根,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625764.jpg,,,,,,,,,, +寒兰,Cymbidium kanran,方文培,2304,19280801,四川省,500~660,In thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/00292469.jpg,,,,,,,,,, +寒兰,Cymbidium kanran,邬文祥,8114,19851202,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00586131.jpg,,,,,,,,,, +寒兰,Cymbidium kanran,章绍尧,4352,19581111,浙江省,,坡向南西面,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00292468.jpg,,,,,,,,,, +,Cymbidium lancifolium,覃海宁,3494,20020501,云南省,1570,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098043.jpg,,,,,,,,,, +兔耳兰,Cymbidium lancifolium,刘心祈,25257,19241118,广东省,0,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0625841.jpg,,,,,,,,,, +兔耳兰,Cymbidium lancifolium,S.P. Ko,50971,1930-11-,广东; KWANGTUNG,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00026533.jpg,,,,,,,,,, +碧玉兰,Cymbidium lowianum,吉占和,92-020,19920502,云南省,1500,林中,树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00851212.jpg,,,,,,,,,, +碧玉兰,Cymbidium lowianum,刘成、亚吉东、付超男、莫明忠,15CS10023,20150414,云南,1788,常绿阔叶林林缘,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1393760.jpg,,,,,,,,,, +碧玉兰,Cymbidium lowianum,郭琼芳,140103,19610400,广东省,0,,草本直立,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0625876.jpg,,,,,,,,,, +大根兰,Cymbidium macrorhizon,程瑾,s.n.,20060820,广西壮族自治区,1137,腐生于栈道边的树林下枯树枝 枯树叶上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01595433.jpg,,,,,,,,,, +大根兰,Cymbidium macrorhizon,Y.Yamamoto,s.n.,19301024,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00292549.jpg,,,,,,,,,, +大根兰,Cymbidium macrorhizon,蔡杰,14CS9330,20140718,云南,2012,云南松林下,腐生植物,,https://image.cvh.ac.cn/files/l/KUN/1393761.jpg,,,,,,,,,, +,Cymbidium mannii,广西队,472,19550620,广西壮族自治区,200,山坡疏林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01997959.jpg,,,,,,,,,, +硬叶兰,Cymbidium mannii,"刘恩德, 邹娇, 董洪进, 肖波, 周天, 赵晨光, 陈志坚",LED9250,20191211,云南,110,河边陡坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1495258.jpg,,,,,,,,,, +硬叶兰,Cymbidium mannii,许为斌,刘静,黄歆怡,Liuyan1122,20130120,广西,333,亚热带常绿叶阔叶林缘耕地,直立草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1438701.jpg,,,,,,,,,, +大雪山,Cymbidium mastersii,Tsi Zhanhuo,91-365,19910825,云南省,1650,in the ipen foreest on the tree trunks,,无花有果,https://image.cvh.ac.cn/files/l/PE/00850080.jpg,,,,,,,,,, +大雪兰,Cymbidium mastersii,邬文祥,9025,19901222,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585615.jpg,,,,,,,,,, +大雪兰,Cymbidium mastersii,方鼎 钟夏明,79710,19900328,,1150,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI052635.jpg,,,,,,,,,, +,Cymbidium motuoense,,,,,,,,,,,,,,,,,,, +墨兰,Cymbidium sinense,费砚良,2099,19650308,安徽省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827180.jpg,,,,,,,,,, +墨兰,Cymbidium sinense,F.P. Metcalf,18329,1936-10-,海南; HAINAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00026573.jpg,,,,,,,,,, +墨兰,Cymbidium sinense,费砚良,2099,19650308,安徽,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827180.jpg,,,,,,,,,, +,Cymbidium tigrinum,,,,,,,,,,,,,,,,,,, +西藏虎头兰,Cymbidium tracyanum,PE-古蔺考察队,840,20100907,四川省,1070~977,栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/01853344.jpg,,,,,,,,,, +西藏虎头兰,Cymbidium tracyanum,刘成、何华杰、黄莉、李涟漪,14CS10001,20141115,云南,2067,河谷边阔叶林下,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1393766.jpg,,,,,,,,,, +西藏虎头兰,Cymbidium tracyanum,HK kadoorie PT,3418,20020428,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097625.jpg,,,,,,,,,, +滇南虎头兰,Cymbidium wilsonii,李剑武,4496,20160224,云南,1680,针阔混交林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029001.jpg,,,,,,,,,, +滇南虎头兰,Cymbidium wilsonii,王启无,66798,19350900,云南省 ,0~2000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625950.jpg,,,,,,,,,, +滇南虎头兰,Cymbidium wilsonii,邓世纬,1708,19351205,贵州省,0,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625951.jpg,,,,,,,,,, +,Cymbidium × gammieanum,,,,,,,,,,,,,,,,,,, +,Cymbilabia undulata,,,,,,,,,,,,,,,,,,, +芸香草,Cymbopogon distans,李馨,77604,1958/6/5,四川,2300,,grass,无花无果,https://image.cvh.ac.cn/files/l/WUK/0234476.jpg,,,,,,,,,, +芸香草,Cymbopogon distans,W.Y.Hsia,6383,19390903,甘肃省,1200,on slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00403931.jpg,,,,,,,,,, +芸香草,Cymbopogon distans,钟树权,A61650,19580418,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00177833.jpg,,,,,,,,,, +辣薄荷草,Cymbopogon jwarancusa,"倪志诚,汪永泽,次多,次旦",325,19800701,西藏自治区,2100,公路边灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00448175.jpg,,,,,,,,,, +辣薄荷草,Cymbopogon jwarancusa,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2604,20090924,西藏,2470,草坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400777.jpg,,,,,,,,,, +辣薄荷草,Cymbopogon jwarancusa,,45,19621030,重庆市,,高丘陵坡地上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00448163.jpg,,,,,,,,,, +,Cymbopogon jwarancusa subsp. olivieri,,,,,,,,,,,,,,,,,,, +亚香茅,Cymbopogon nardus,C.C.Courtois,4003,19110918,安徽省,,,,,https://image.cvh.ac.cn/files/l/NAS/NAS00517543.jpg,,,,,,,,,, +亚香茅,Cymbopogon nardus,,4133,,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0104247.jpg,,,,,,,,,, +,Cymbopogon nardus,A.N.Stewand,2573,19221007,江苏省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00448095.jpg,,,,,,,,,, +,Cymbopogon pospischilii,Liu Yanchun,585,20101020,云南省,2336,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088937.jpg,,,,,,,,,, +,Cymbopogon pospischilii,J.W.Ash,2988,19750601,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01904783.jpg,,,,,,,,,, +,Cymbopogon tortilis,中越考察队,2123,19650209,凉山,400,高草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/384268.jpg,,,,,,,,,, +扭鞘香茅,Cymbopogon tortilis,李馨,78326,1958-08-,四川省,2800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0104340.jpg,,,,,,,,,, +扭鞘香茅,Cymbopogon tortilis,H.H.Chung,,1927-11-,福建; Fujian,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00003447.jpg,,,,,,,,,, +通麦香茅,Cymbopogon tungmaiensis,"李渤生,李辉",14128,19901009,西藏自治区,1400,河滩中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01507371.jpg,,,,,,,,,, +通麦香茅,Cymbopogon tungmaiensis,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2392,20090918,云南,2350,干暖河谷,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1436689.jpg,,,,,,,,,, +小叶鹅绒藤,Cynanchum anthonyanum,青藏队,1773,19810704,四川省,2080,金沙江河谷 有刺灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132670.jpg,,,,,,,,,, +小叶鹅绒藤,Cynanchum anthonyanum,余奇,代文台,CIBYQ083B010,20190808,四川,1934,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1503298.jpg,,,,,,,,,, +小叶鹅绒藤,Cynanchum anthonyanum,中甸队,1224,19620818,,1810,放牧草地上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01023206.jpg,,,,,,,,,, +线萼白前,Cynanchum linearisepalum,青藏队,13593,19830904,四川省,2300,河边 山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132686.jpg,,,,,,,,,, +白牛皮消,Cynanchum lysimachioides,川经西,3473,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01132754.jpg,,,,,,,,,, +白牛皮消,Cynanchum lysimachioides,J.F. Rock,5317,1922.5.,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005639.jpg,,,,,,,,,, +白牛皮消,Cynanchum lysimachioides,赵裕章,21216,19390806,云南省,,沙中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1263142.jpg,,,,,,,,,, +四川鹅绒藤,Cynanchum szechuanense,T.T.Yu,6106,6.11.,云南,2800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005644.jpg,,,,,,,,,, +四川鹅绒藤,Cynanchum szechuanense,俞德俊,7222,,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0519219.jpg,,,,,,,,,, +四川鹅绒藤,Cynanchum szechuanense,吴征镒,228,19650715,云南省,2250,灌丛中,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00231230.jpg,,,,,,,,,, +狗牙根,Cynodon dactylon,北京队,892067,19890501,广西壮族自治区,500,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981202.jpg,,,,,,,,,, +狗牙根,Cynodon dactylon,徐月邦,10242,1595/4 /,广西,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0183020.jpg,,,,,,,,,, +狗牙根,Cynodon dactylon,吴宝成,王兆银,HANGYY8244,20080709,江苏,57,落叶阔叶林,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1400796.jpg,,,,,,,,,, +心叶琉璃草,Cynoglossum triste,,4002,19570720,四川,,,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM717100276.jpg,,,,,,,,,, +心叶琉璃草,Cynoglossum triste,C.W.Wang,70991,19350700,云南省 ,2800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0535571.jpg,,,,,,,,,, +心叶琉璃草,Cynoglossum triste,C. W. Wang,70991,1935/7/1,云南,2800,山坡,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/120958.jpg,,,,,,,,,, +阿穆尔莎草,Cyperus amuricus,杨光辉,59547,19580900,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0697576.jpg,,,,,,,,,, +阿穆尔莎草,Cyperus amuricus,"聂敏祥,赖书绅",6236,1958/11/8,江西,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0264504.jpg,,,,,,,,,, +阿穆尔莎草,Cyperus amuricus,C.W.Wang,74599,1936/06/,云南,1030,,Herbs,无花无果,https://image.cvh.ac.cn/files/l/WUK/0043459.jpg,,,,,,,,,, +,Cyperus babakan,,,,,,,,,,,,,,,,,,, +,Cyperus cephalotes,H.F.Sun,77,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01770066.jpg,,,,,,,,,, +,Cyperus compactus,"Parnell,Pendry Jebb et al.",95-638,19950831,,600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01770772.jpg,,,,,,,,,, +密穗砖子苗,Cyperus compactus,,DJ20090715011,2009/7/15,广东省,5,江边游泳区边,草,,https://image.cvh.ac.cn/files/l/BNU/004882.jpg,,,,,,,,,, +密穗砖子苗,Cyperus compactus,吴金清,樊明策,9563,20080303,重庆,115,江边,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0177283.jpg,,,,,,,,,, +扁穗莎草,Cyperus compressus,Prof.T.Tanaka and Y.Shimada,,1932/6/6,台湾; TAIWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00016565.jpg,,,,,,,,,, +扁穗莎草,Cyperus compressus,To and Ts'ang,,1924/7/7,广东; KWANGTUNG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00016571.jpg,,,,,,,,,, +扁穗莎草,Cyperus compressus,海南工作站,2329,19600815,海南省 ,0~45,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0697511.jpg,,,,,,,,,, +长尖莎草,Cyperus cuspidatus,西藏中草药普查队,1235,19720816,西藏自治区,2350,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01767546.jpg,,,,,,,,,, +长尖莎草,Cyperus cuspidatus,郭永杰,李涟漪,聂细转,12CS5222,20121212,云南,985,公路边常绿阔叶林下,二年生草本,,https://image.cvh.ac.cn/files/l/KUN/1398011.jpg,,,,,,,,,, +长尖莎草,Cyperus cuspidatus,黄志,42072,1956/9/9,广东; KWANGTUNG,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00016588.jpg,,,,,,,,,, +,Cyperus cyperinus,J.F.Maxwell ,93-690,19930627,,1050,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01770624.jpg,,,,,,,,,, +莎状砖子苗,Cyperus cyperinus,洪利兴、谢珂,2339,19850813,浙江省,800,南坡花生地中,草本,无花无果,https://image.cvh.ac.cn/files/l/ZM/ZMNH0047602.jpg,,,,,,,,,, +莎状砖子苗,Cyperus cyperinus,何明娟,20185364,20180421,贵州省,477,木栈道旁,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0028804.jpg,,,,,,,,,, +砖子苗,Cyperus cyperoides,唐国旺、李紫默,TangGW1105,20210306,海南,394,热带季风阔叶林路边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1557987.jpg,,,,,,,,,, +磗子苗,Cyperus cyperoides,旷仁平,LXP03-03652,20140517,湖南,491,山谷、壤土(红壤)、疏林、路旁、溪边、常见种,陆生、草本、直立,有花有果,https://image.cvh.ac.cn/files/l/SYS/SYS00196935.jpg,,,,,,,,,, +砖子苗,Cyperus cyperoides,W.P.Fang,5862,19300606,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00537751.jpg,,,,,,,,,, +多脉莎草,Cyperus diffusus,Lau S.K.,5342,1935/1/1,海南; HAINAN,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00016623.jpg,,,,,,,,,, +多脉莎草,Cyperus diffusus,H.T.Tsai,59133,19341031,云南省 ,0~2000,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0697164.jpg,,,,,,,,,, +多脉莎草,Cyperus diffusus,Y.T.Lee,887,19530400,湖南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0697156.jpg,,,,,,,,,, +,Cyperus haspan,岛津制作所标本部,311,19080809,东京,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0044130.jpg,,,,,,,,,, +畦畔莎草,Cyperus haspan,R.Cumming,23661,20050911,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01950224.jpg,,,,,,,,,, +畦畔莎草,Cyperus haspan,大岛蒲野; T.Oda,3049,1933/8/8,Hondo:Oshima in Suwo,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00016907.jpg,,,,,,,,,, +叠穗莎草,Cyperus imbricatus,K.Odashima,17838,1934-10-,台湾; TAIWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00016678.jpg,,,,,,,,,, +迭穗莎草,Cyperus imbricatus,刘正宇,184264,20091028,重庆市,180,长江边沙滩阴湿地中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01433392.jpg,,,,,,,,,, +叠穗莎草,Cyperus imbricatus,Levine & Ah To,,1917-10-,广东; KWANGTUNG,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00016681.jpg,,,,,,,,,, +碎米莎草,Cyperus iria,T.N.Liou & K.M.Liou,L.1282,1933/8/8,山东; SHANTUNG,99,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00016719.jpg,,,,,,,,,, +碎米莎草,Cyperus iria,傅坤俊,10524,19570910,陕西,540,稻田中,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0097792.jpg,,,,,,,,,, +碎米莎草,Cyperus iria,S.Kwoks,,1916/8/8,city of Manila,1 .,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00016917.jpg,,,,,,,,,, +,Cyperus laxus,广西队,3648,19530913,广西壮族自治区,,山坡 路旁 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705509.jpg,,,,,,,,,, +,Cyperus laxus,王启无,75461,19360800,云南省,,wood,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705508.jpg,,,,,,,,,, +,Cyperus laxus,梁慧舟,2071,20000915,台湾省,250,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01855229.jpg,,,,,,,,,, +具芒碎米莎草,Cyperus microiria,,1194,19580730,浙江省,25,山谷 沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01704964.jpg,,,,,,,,,, +具芒碎米莎草,Cyperus microiria,厦大采集队,975,19631124,福建省,500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01704934.jpg,,,,,,,,,, +具芒碎米莎草,Cyperus microiria,李书心,1297,19630913,吉林省,450,,,无花有果,https://image.cvh.ac.cn/files/l/IFP/16307007x0043.jpg,,,,,,,,,, +,Cyperus nigrofuscus,,,,,,,,,,,,,,,,,,, +南莎草,Cyperus niveus,Stainton et al.,5845,19540620,,1167,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01722196.jpg,,,,,,,,,, +南莎草,Cyperus niveus,绿春队,1248,19740531,云南省,,河谷 水旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705280.jpg,,,,,,,,,, +莎草,Cyperus niveus,王清海,90,20080827,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0003822.jpg,,,,,,,,,, +,Cyperus nutans,陈少卿,2216,19420815,湖南省,,"溪边,疏阴,潮湿",草本直立,有花有果,https://image.cvh.ac.cn/files/l/AU/033380.jpg,,,,,,,,,, +垂穗莎草,Cyperus nutans,北京队,896878,19890904,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017202.jpg,,,,,,,,,, +垂穗莎草,Cyperus nutans,Tetsuo Koyama et al.,13969,19710128,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01770221.jpg,,,,,,,,,, +毛轴莎草,Cyperus pilosus,罗林波,1070,19951011,湖南省,450,山谷 潮湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705463.jpg,,,,,,,,,, +毛轴莎草,Cyperus pilosus,邹方伦,ZouFL0135,20101015,贵州,750,山林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1398348.jpg,,,,,,,,,, +毛轴莎草,Cyperus pilosus,陶德定,527,19731005,云南省,530,公路边 水沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705456.jpg,,,,,,,,,, +香附子,Cyperus rotundus,贵州队,6961,1960/7/12,贵州,1200,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0224910.jpg,,,,,,,,,, +香附子,Cyperus rotundus,"川西队,关克俭,王文采等",3444,19630913,四川省,850,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093116.jpg,,,,,,,,,, +香附子,Cyperus rotundus,,4,19630800,香港,,红沙壤 公路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01704785.jpg,,,,,,,,,, +,Cyperus sikkimensis,,,,,,,,,,,,,,,,,,, +,Cyperus squarrosus,D. Halford,Q9935,20100621,,190,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01897113.jpg,,,,,,,,,, +窄穗莎草,Cyperus tenuispica,张应汉,766,,湖北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705480.jpg,,,,,,,,,, +窄穗莎草,Cyperus tenuispica,刘心沂,25016,19351026,广东省,,山脚 荒田,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705477.jpg,,,,,,,,,, +窄穗莎草,Cyperus tenuispica,C.M.Wang,5670,20020525,福建省,,"on unplowing,exposed site",,无花有果,https://image.cvh.ac.cn/files/l/PE/01950214.jpg,,,,,,,,,, +,Cyperus thomsonii,,,,,,,,,,,,,,,,,,, +,Cypripedium bardolphianum,,,,,,,,,,,,,,,,,,, +白唇杓兰,Cypripedium cordigerum,PE-西藏队,2184,20100828,西藏自治区,2947~3012,坡上,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866894.jpg,,,,,,,,,, +雅致杓兰,Cypripedium elegans,Luo Yi-bo,58,19960704,云南省,3600,"N facing slope of Yulong Snow M,alpine meadow.Only one indicidual was found here",,有花无果,https://image.cvh.ac.cn/files/l/PE/01527336.jpg,,,,,,,,,, +雅致杓兰,Cypripedium elegans,西藏中草药普查队,613,19720629,西藏自治区,3700,灌木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00292679.jpg,,,,,,,,,, +雅致杓兰,Cypripedium elegans,李剑武,2336,20120927,云南,1900,常绿阔叶林,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028046.jpg,,,,,,,,,, +,Cypripedium farreri,,,,,,,,,,,,,,,,,,, +大叶杓兰,Cypripedium fasciolatum,H.T.Tsai,61338,19340000,河北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625709.jpg,,,,,,,,,, +大叶杓兰,Cypripedium fasciolatum,刘正宇,2086,19810721,重庆市,1600,,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0012947.jpg,,,,,,,,,, +大叶杓兰,Cypripedium fasciolatum,王作宾,14359,1951/7/14,甘肃,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0029112.jpg,,,,,,,,,, +黄花杓兰,Cypripedium flavum,G.Forrest,10118,19130000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0625715.jpg,,,,,,,,,, +黄花杓兰,Cypripedium flavum,傅坤俊,5268,19520729,陕西省,0~1500,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0625737.jpg,,,,,,,,,, +黄花杓兰,Cypripedium flavum,郭本兆,7168,19700621,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/21400.jpg,,,,,,,,,, +,Cypripedium forrestii,,,,,,,,,,,,,,,,,,, +毛杓兰,Cypripedium franchetii,韩裕丰等,81-1563,19810807,云南省,3700,流石滩落叶松林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01527659.jpg,,,,,,,,,, +毛杓兰,Cypripedium franchetii,黄河调查队,6506,19560519,山西省,,山坡,阴处,潮地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00292822.jpg,,,,,,,,,, +毛杓兰,Cypripedium franchetii,"郎楷永,李良千,费勇",1281,19820826,四川省,3000,山坡 灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01146904.jpg,,,,,,,,,, +紫点杓兰,Cypripedium guttatum,李才贵,151,19840630,山西省,2000,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081477.jpg,,,,,,,,,, +紫点杓兰,Cypripedium guttatum,温带森林组,244,19620713,吉林省,1480,岳株林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01805163.jpg,,,,,,,,,, +紫点杓兰,Cypripedium guttatum,周海城,ZhouHC1248,20130710,吉林,2005,苔原,草本,,https://image.cvh.ac.cn/files/l/KUN/1393777.jpg,,,,,,,,,, +高山杓兰,Cypripedium himalaicum,PE西藏考察队,7654,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331749.jpg,,,,,,,,,, +高山杓兰,Cypripedium himalaicum,,22399,19590713,云南省,0~3250,山坡上,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/00006256.jpg,,,,,,,,,, +高山杓兰,Cypripedium himalaicum,蒋兴立,2801,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 014234.jpg,,,,,,,,,, +,Cypripedium lichiangense,,,,,,,,,,,,,,,,,,, +,Cypripedium ludlowii,,,,,,,,,,,,,,,,,,, +,Cypripedium margaritaceum,,,,,,,,,,,,,,,,,,, +小花杓兰,Cypripedium micranthum,杨毅组,IMPCYY002,20180809,重庆,2072,巴东栎群落,草本,落叶,多年生,草质,有花无果,https://image.cvh.ac.cn/files/l/KUN/1554568.jpg,,,,,,,,,, +小花杓兰,Cypripedium micranthum,余奇;孙奇;邓亨宁,CIBYQ104,20200622,四川,2309,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1564750.jpg,,,,,,,,,, +小花杓兰,Cypripedium micranthum,,8039,19370000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01634222.jpg,,,,,,,,,, +离萼杓兰,Cypripedium plectrochilum,任宗昕,蒋伟,张明英,骆洋,王雪芹,WH-2012-0178,20120622,云南,2289,路边,山坡,草本,,https://image.cvh.ac.cn/files/l/KUN/1393787.jpg,,,,,,,,,, +离萼杓兰,Cypripedium plectrochilum,蔡杰,刘成,郭永杰,13CS7008,20130605,西藏,2960,云南松林下山坡,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1393786.jpg,,,,,,,,,, +离萼杓兰,Cypripedium plectrochilum,刘正宇,2050672,20050417,重庆市,1500,山地石灰岩灌丛下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0012779.jpg,,,,,,,,,, +,Cypripedium sichuanense,,,,,,,,,,,,,,,,,,, +,Cypripedium subtropicum,,,,,,,,,,,,,,,,,,, +西藏杓兰,Cypripedium tibeticum,,19840615422,19840615,黑龙江,,透光林下,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0005136.jpg,,,,,,,,,, +西藏杓兰,Cypripedium tibeticum,T.Tang,932,19290000,山西省,,,vine,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 001247.jpg,,,,,,,,,, +西藏杓兰,Cypripedium tibeticum,金效华,8207A,20060627,甘肃,3158,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825131.jpg,,,,,,,,,, +,Cypripedium wardii,,,,,,,,,,,,,,,,,,, +,Cypripedium yunnanense,,,,,,,,,,,,,,,,,,, +尖叶弓果黍,Cyrtococcum oxyphyllum,刘心祈,26946,19340529,广东,,密林中,草本,有花无果,https://image.cvh.ac.cn/files/l/SN/SN002653.jpg,,,,,,,,,, +尖叶弓果黍,Cyrtococcum oxyphyllum,广西弄岗综考队,11042,1979-10-,广西,200,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00013703.jpg,,,,,,,,,, +尖叶弓果黍,Cyrtococcum oxyphyllum,曾沛,12951,1962-12-,海南,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00013709.jpg,,,,,,,,,, +弓果黍,Cyrtococcum patens,J.Linsley Gressitt,973,Jun-35,海南; HAINAN,270,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00013723.jpg,,,,,,,,,, +弓果黍,Cyrtococcum patens,"丁广奇,石国良",1028,1963/9/19,广东,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0425748.jpg,,,,,,,,,, +弓果黍,Cyrtococcum patens,Han Quan-zhong,91575,19911024,云南省 ,0,,Bushes fild,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0770635.jpg,,,,,,,,,, +散穗弓果黍,Cyrtococcum patens var. latifolium,H. T. Tsai,51371,19321201,云南省 ,,in ravine,grass,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00254301.jpg,,,,,,,,,, +散穗弓果黍,Cyrtococcum patens var. latifolium,税玉民,陈文红等,80058,20071122,云南,936,石灰岩山坡林缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400844.jpg,,,,,,,,,, +散穗弓果黍,Cyrtococcum patens var. latifolium,"Liu Yanchun,Tang Ying",426,20100917,云南省,1179,in the forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088432.jpg,,,,,,,,,, +,Cyrtomium anomophyllum,"高信芬, 张良, 李蒙, 张桥蓉, 亚吉东, 崔光帅",QTP-II08-T05-000323,20171205,,2366,mixed forest of Broad-leaved and Pine forest (Pinus wallichiana),草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1485207.jpg,,,,,,,,,, +刺齿贯众,Cyrtomium caryotideum,赵万义、刘忠成、张忠、谭维政、张记军、叶矾、冯欣欣,LXP-13-09819,20151105,江西,,山坡、腐殖土、密林路旁,陆生、草本、直立,有孢子囊,https://image.cvh.ac.cn/files/l/SYS/SYS00200701.jpg,,,,,,,,,, +刺齿贯众,Cyrtomium caryotideum,张代贵,zdg4491,20120614,湖北,1834,林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU37741.jpg,,,,,,,,,, +刺齿贯众,Cyrtomium caryotideum,South Tibet Expedition Team(STET),STET1099,20100723,西藏自治区,2600,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02013680.jpg,,,,,,,,,, +大叶贯众,Cyrtomium macrophyllum,"喻勋林,徐永福,黄娟",80230,20080820,湖北省,1700,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01964150.jpg,,,,,,,,,, +大叶贯众,Cyrtomium macrophyllum,张代贵,lj0122019,20150804,湖南湘西州,,林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU48036.jpg,,,,,,,,,, +大叶贯众,Cyrtomium macrophyllum,"Li Heng,Yang Shixiong,Lei Ligong et Ji Yunheng",1551,20030417,云南省,2590,常绿阔叶林,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02308881.jpg,,,,,,,,,, +,Cyrtomium muticum,,72418,19360300,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00155566.jpg,,,,,,,,,, +,Cyrtomium muticum,中岛一男,16225,19380220,,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00155700.jpg,,,,,,,,,, +,Cyrtomium muticum,李国凤,61714,19570603,重庆市,1750,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01000227.jpg,,,,,,,,,, +峨眉贯众,Cyrtomium omeiense,刘正宇,2021645,20020418,云南省,1500,杂木林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0005798.jpg,,,,,,,,,, +峨眉贯众,Cyrtomium omeiense,K.C.Yang,6033,20000407,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01938787.jpg,,,,,,,,,, +峨眉贯众,Cyrtomium omeiense,刘正宇、林茂祥等,S-0420,20160308,重庆,829,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0050688.jpg,,,,,,,,,, +,Cyrtosia javanica,,,,,,,,,,,,,,,,,,, +丽江鳔冠花,Cystacanthus affinis,G. Forrest,12493,1914,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0004957.jpg,,,,,,,,,, +丽江鳔冠花,Cystacanthus affinis,李延辉,33689,19860326,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/045981.jpg,,,,,,,,,, +,Cystacanthus affinis,"Forrest, George",12493,14-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00095255.jpg,,,,,,,,,, +皱孢冷蕨,Cystopteris dickieana,,5255,,,,,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01805020.jpg,,,,,,,,,, +皱孢冷蕨,Cystopteris dickieana,刘全儒,200608018,20060801,山西省,,山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0024755.jpg,,,,,,,,,, +皱孢冷蕨,Cystopteris dickieana,Ho Ting-nung et al.,273,19930723,青海省,3500~3600,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00750032.jpg,,,,,,,,,, +冷蕨,Cystopteris fragilis,余慧君,20,1960.8.8,河南,,,,无花无果,https://image.cvh.ac.cn/files/l/HENU/0410507.jpg,,,,,,,,,, +冷蕨,Cystopteris fragilis,"王中仁,马义伦,刘军",C698,19860716,吉林省,800~900,山坡林下石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01385834.jpg,,,,,,,,,, +冷蕨,Cystopteris fragilis,X.C.Zhang,2914,20010814,云南省,3600,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01450899.jpg,,,,,,,,,, +西宁冷蕨,Cystopteris kansuana,商辉、刘子玥、李春香,SG1459,20160912,青海,2517,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0126858.jpg,,,,,,,,,, +西宁冷蕨,Cystopteris kansuana,X.C.Zhang & L.Wang,4707,20070921,西藏自治区,4200,,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01792721.jpg,,,,,,,,,, +西宁冷蕨,Cystopteris kansuana,,s.n.,,甘肃省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00750317.jpg,,,,,,,,,, +卷叶冷蕨,Cystopteris modesta,李秉文,76-162,19720809,青海省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0219356.jpg,,,,,,,,,, +,Cystopteris modesta,T. T. Yu,20777,1938/10/19,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00103668.jpg,,,,,,,,,, +卷叶冷蕨,Cystopteris modesta,T.T.Yu,20777,19381019,云南省,3600,"Side of mt.stream,rocky place",,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00059194.jpg,,,,,,,,,, +高山冷蕨,Cystopteris montana,彭泽祥、张学忠,1271,19550807,陕西省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0483605.jpg,,,,,,,,,, +高山冷蕨,Cystopteris montana,康藏植物考察队,10-0625,20100724,四川省,4270,溪边林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01962380.jpg,,,,,,,,,, +高山冷蕨,Cystopteris montana,张学忠等,1271,1955/8/7,陕西,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0483605.jpg,,,,,,,,,, +宝兴冷蕨,Cystopteris moupinensis,王作宾,14708,19510804,甘肃省,2400,山沟林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00750410.jpg,,,,,,,,,, +宝兴冷蕨,Cystopteris moupinensis,,298,,青海省,2500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00750411.jpg,,,,,,,,,, +宝兴冷蕨,Cystopteris moupinensis,于兴化,许舒雯,魏艳丽,赵玮,张挺,13PXC018,20130619,云南,3413,林向溪边岩石上,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1405972.jpg,,,,,,,,,, +膜叶冷蕨,Cystopteris pellucida,韦宏金,JSL6999,20190408,西藏,~1965,河谷边阔叶密林下,草本,无孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431438.jpg,,,,,,,,,, +膜叶冷蕨,Cystopteris pellucida,张宪春,3822,20060611,云南省,2500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01450862.jpg,,,,,,,,,, +膜叶冷蕨,Cystopteris pellucida,,34232,19590713,河南省,1400,沟底阴处岩石缝潮湿地密林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00750522.jpg,,,,,,,,,, +藏冷蕨,Cystopteris tibetica,张经炜,1442,19730903,西藏自治区,3300,东北坡,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00750625.jpg,,,,,,,,,, +藏冷蕨,Cystopteris tibetica,T.T.Yu,9934,19370829,云南省,3240,on trunk of tree,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00750614.jpg,,,,,,,,,, +藏冷蕨,Cystopteris tibetica,山西队、关克俭、陈艺林,2171,19590710,山西省,2300,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0219517.jpg,,,,,,,,,, +丽江紫金龙,Dactylicapnos lichiangensis,,23192,19601023,四川,2600,灌木林丛中 ,草质藤本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM705600553.jpg,,,,,,,,,, +,Dactylicapnos lichiangensis,,21202,,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0003603.jpg,,,,,,,,,, +丽江紫金龙,Dactylicapnos lichiangensis,藏东南考察队 金效华等,SET-ET810,20090826,西藏自治区,3181,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050776.jpg,,,,,,,,,, +鸭茅,Dactylis glomerata,刘学忠,27,19540000,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078284.jpg,,,,,,,,,, +鸭茅,Dactylis glomerata,郭永杰,张桥蓉,李春晓,张继,11CS3504,20110919,云南,3655,草地,草本,,https://image.cvh.ac.cn/files/l/KUN/1400871.jpg,,,,,,,,,, +鸭茅,Dactylis glomerata,谭策铭,95244,19950524,江西省,800,山坡林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01850438.jpg,,,,,,,,,, +龙爪茅,Dactyloctenium aegyptium,Prof.T.Tanaka and Y.Shimada,,1933/8/8,台湾; TANWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00015363.jpg,,,,,,,,,, +龙爪茅,Dactyloctenium aegyptium,G.W.Groff or To Kang P'ing,,1920/6/6,Chiengmai,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00015371.jpg,,,,,,,,,, +龙爪茅,Dactyloctenium aegyptium,梁畴芬,33463,19730923,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00448980.jpg,,,,,,,,,, +,Dactylorhiza hatagirea,,,,,,,,,,,,,,,,,,, +,Dactylorhiza viridis,"亚吉东, 张桥蓉, 胡枭剑",16CS13049,20160616,新疆,2527,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1444846.jpg,,,,,,,,,, +凹舌掌裂兰,Dactylorhiza viridis,北师大队,LPS2015091,20150724,宁夏回族自治区,,灌丛草地,,,https://image.cvh.ac.cn/files/l/BNU/0018687.jpg,,,,,,,,,, +凹舌掌裂兰,Dactylorhiza viridis,刘成,马梁梁,付小刚,20CS19581,20200710,四川,2811,沟边林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506289.jpg,,,,,,,,,, +,Danthonia cachemyriana,"姜恕,郑度",184,19671003,西藏自治区,3900~4100,阴坡灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469454.jpg,,,,,,,,,, +喀什米尔扁芒草,Danthonia cachemyriana,J.F.ROCK,5958,19230500,广西壮族自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/000051099.jpg,,,,,,,,,, +,Danthonia cachemyriana,"汤宗孝,田效文,张正华",1045,19810912,云南省,3570,柳灌丛羊茅山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487518.jpg,,,,,,,,,, +,Danthonia cumminsii,PE西藏队,PE6316,20170911,西藏自治区,2445,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891318.jpg,,,,,,,,,, +,Danthonia cumminsii,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-150-B46,20190825,西藏,4051,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260774.jpg,,,,,,,,,, +,Danthonia cumminsii,,678,19590729,新疆维吾尔自治区,4100,山坡的石边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00448994.jpg,,,,,,,,,, +黄花瑞香,Daphne aurantiaca,平莉莉,146464,20080706,山西,,,,有花无果,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0005030.jpg,,,,,,,,,, +,Daphne aurantiaca,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-026-B04,20160809,云南,,高山栎群落中,灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609994.jpg,,,,,,,,,, +橙黄瑞香,Daphne aurantiaca,王作宾,15971,19520726,陕西省,1200,生干山坡,小灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0468076.jpg,,,,,,,,,, +啮蚀瓣瑞香,Daphne erosiloba,许介媚 高举林 耿玉英,90324,19900809,四川省,4500,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/019455.jpg,,,,,,,,,, +川西瑞香,Daphne gemmata,F.T.Wang,20513,19300400,四川省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0200092.jpg,,,,,,,,,, +川西瑞香,Daphne gemmata,陕西省中草药科研组,1276,1970/5/13,陕西省,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0284726.jpg,,,,,,,,,, +川西瑞香,Daphne gemmata,F.T. Wang,20513,1930/04/,四川,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0048238.jpg,,,,,,,,,, +五出瑞香,Daphne holosericea,王启无,66233,19351000,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0200137.jpg,,,,,,,,,, +丝毛瑞香,Daphne holosericea,T.T.Yu,10344,19370919,云南省,2800,among thickets,,无花无果,https://image.cvh.ac.cn/files/l/PE/01597347.jpg,,,,,,,,,, +丝毛瑞香,Daphne holosericea,"傅德志,陈淑荣等",1378,20140420,四川省,,路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/02021149.jpg,,,,,,,,,, +铁牛皮,Daphne limprichtii,宝兴队,78-0385,19780619,四川,,灌木林,,无花有果,https://image.cvh.ac.cn/files/l/SM/SM713100480.jpg,,,,,,,,,, +铁牛皮,Daphne limprichtii,张超 朱大海 余磊,20060627,20060914,四川省,4000,,,无花无果,https://image.cvh.ac.cn/files/l/WCSBG/016005.jpg,,,,,,,,,, +长瓣瑞香,Daphne longilobata,王启无,68104,19350800,云南省 ,3200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0200145.jpg,,,,,,,,,, +长瓣瑞香,Daphne longilobata,马欣堂等,87-0390,19870506,四川省,1000,山坡上部密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598633.jpg,,,,,,,,,, +长瓣瑞香,Daphne longilobata,罗建等,LuoJian-ZX-0900,20090606,西藏自治区,2526,"林缘灌丛,草地",,无花无果,https://image.cvh.ac.cn/files/l/PE/01924213.jpg,,,,,,,,,, +,Daphne macrantha,,,,,,,,,,,,,,,,,,, +,Daphne modesta,王海峰、杜阳平、刘基男,JZG1011,20190420,四川,2060.73,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0271957.jpg,,,,,,,,,, +瘦叶瑞香,Daphne modesta,C.W.Wang,66391,19350900,云南省 ,3000,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00006740.jpg,,,,,,,,,, +瘦叶瑞香,Daphne modesta,俞德俊,8182,19370508,云南省,2800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0200155.jpg,,,,,,,,,, +,Daphne purpurascens,青藏队补点队,751793,19750830,西藏自治区,2900,林缘灌丛下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01058395.jpg,,,,,,,,,, +,Daphne purpurascens,扎西次仁,拉穷,西落,ZhongY529,20090502,西藏,2929,针阔混交林,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1247482.jpg,,,,,,,,,, +细花瑞香,Daphne tenuiflora,赵清盛、刘建生、吕发强,4256,1978-5 1,四川省,2910,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0082218.jpg,,,,,,,,,, +,Daphne tenuiflora,"Legendre, A.F.",972,1911/5/31,,,,,,https://image.cvh.ac.cn/files/l/P/P00716603.jpg,,,,,,,,,, +细花瑞香,Daphne tenuiflora,张卢水、陈春林、李家亮,SUZLS02232,20180508,四川,2360,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1560445.jpg,,,,,,,,,, +九龙瑞香,Daphne tripartita,C.W.Wang,70373,19350900,云南省,2700,Mountain slope border of woods,woody plants,无花有果,https://image.cvh.ac.cn/files/l/PE/00935557.jpg,,,,,,,,,, +九龙瑞香,Daphne tripartita,黄楷 黄治平 罗正远等,359,19300611,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00935556.jpg,,,,,,,,,, +,Dasymaschalon longiflorum,J.O.Voigt,260,,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0077617.jpg,,,,,,,,,, +喙果皂帽花,Dasymaschalon rostratum,黄鹏成,434,19820000,广西,,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2006587.jpg,,,,,,,,,, +喙果皂帽花,Dasymaschalon rostratum,梁向日,63258,19331016,海南省,,沿溪疏林半阴处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01186132.jpg,,,,,,,,,, +喙果皂帽花,Dasymaschalon rostratum,中越考察队,645,19641220,永福,80~100,林缘,房屋旁,藤本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0676589.jpg,,,,,,,,,, +,Dasymaschalon tibetense,李勃生 程树志,4024,19830409,西藏自治区,850,半常绿雨林中,小乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/01843415.jpg,,,,,,,,,, +西藏皂帽花,Dasymaschalon tibetense,侯学良、欣玮玮、张若鹏,467,20160803,西藏,680,雅鲁藏布江边疏林,乔木,无花有果,https://image.cvh.ac.cn/files/l/AU/AU071763.jpg,,,,,,,,,, +,Davallia assamica,,s.n.,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01771631.jpg,,,,,,,,,, +,Davallia divaricata,"Lau,S.K.",31,,广东省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01048353.jpg,,,,,,,,,, +,Davallia divaricata,Jongsoo Kang,1201-8,20171201,广西壮族自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234187.jpg,,,,,,,,,, +,Davallia divaricata,张宪春等,5518,20081226,海南省,500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01857881.jpg,,,,,,,,,, +,Davallia griffithiana,贵州队,3908,19600526,贵州省,1000,山河灌木丛中,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01048491.jpg,,,,,,,,,, +,Davallia griffithiana,绿春队,572,19740508,云南省,1080,河谷树上附生,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01048765.jpg,,,,,,,,,, +,Davallia griffithiana,蒋彦林,1862,19590225,广西壮族自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01048493.jpg,,,,,,,,,, +,Davallia hookeri,,,,,,,,,,,,,,,,,,, +,Davallia multidentata,Hideo Tabata et al.,10206,19780602,,1750~1780,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01771730.jpg,,,,,,,,,, +,Davallia perdurans,A.Henry,10086,,云南省 ,2100,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1228029.jpg,,,,,,,,,, +鳞轴小膜盖蕨,Davallia perdurans,常艳芬,Chang36,20160500,云南,2000~3500,,蕨类,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026632.jpg,,,,,,,,,, +,Davallia perdurans,A. Henry,10086,,,,,,,https://image.cvh.ac.cn/files/l/NY/00128309.jpg,,,,,,,,,, +,Davallia pulchra,四川省植被调查队,12396,19761014,四川省,3200,高山沟谷地、丽江云杉林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01048773.jpg,,,,,,,,,, +,Davallia pulchra,青藏队补点组,750632,19750716,西藏自治区,2710,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01048332.jpg,,,,,,,,,, +,Davallia pulchra,A.Henry,,18890300,湖北省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1228015.jpg,,,,,,,,,, +,Davallia repens,,62,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01771595.jpg,,,,,,,,,, +,Davallia repens,武素功,向建英,8008,20080617,云南省 ,1800,in the evergreen forest,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1226696.jpg,,,,,,,,,, +,Davallia repens,"李中阳,卫然,张红瑞",7482,20150825,贵州省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02051842.jpg,,,,,,,,,, +,Davallia trichomanoides,吕碧凤,22417,,台湾省,1200~1250,着生树干,,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/1249466.jpg,,,,,,,,,, +,Davallia trichomanoides,PE-BO Team(Zhang X-C etc.),6,20131205,,1100~1300,under forest,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02038811.jpg,,,,,,,,,, +,Davallia trichomanoides,汪庆,等,540,20060908,江苏省,,沟边林下石上,,无孢子囊,https://image.cvh.ac.cn/files/l/NAS/NAS00622165.jpg,,,,,,,,,, +,Dehaasia arunachalensis,,,,,,,,,,,,,,,,,,, +阿克陶翠雀花,Delphinium aktoense,Ubbo Wuendisch,902,19980805,新疆维吾尔自治区,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00037897.jpg,,,,,,,,,, +白蓝翠雀花,Delphinium albocoeruleum,郭淑青,杜品,LiuJQ-2012-GN-166,20120824,甘肃,3210,亚高山草甸平地,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232424.jpg,,,,,,,,,, +贺兰翠雀花,Delphinium albocoeruleum,宁夏药检所,贺0026,19730604,宁夏回族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00477759.jpg,,,,,,,,,, +白蓝翠雀花,Delphinium albocoeruleum,吴庆如,96-154,19960729,内蒙古自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00183700.jpg,,,,,,,,,, +狭菱形翠雀花,Delphinium angustirhombicum,杨竞生,s.n.,19840700,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934899.jpg,,,,,,,,,, +秋翠雀花,Delphinium autumnale,Q.E.Yang and Q.Yuan,339,20040925,四川省,3200,rocky grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350390.jpg,,,,,,,,,, +秋翠雀花,Delphinium autumnale,田效文,样103(10),19810913,云南省,3800,亚高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500346.jpg,,,,,,,,,, +,Delphinium autumnale,"Handel-Mazzetti, Heinrich",5495,5-Oct-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00203844.jpg,,,,,,,,,, +巴塘翠雀花,Delphinium batangense,德队,513,29063,四川,4000,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM704603087.jpg,,,,,,,,,, +巴塘翠雀花,Delphinium batangense,武素功等,33,19940928,云南,4300,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/759334.jpg,,,,,,,,,, +巴塘翠雀花,Delphinium batangense,罗艳,417,20010920,四川省,4500,草地潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500272.jpg,,,,,,,,,, +宽距翠雀花,Delphinium beesianum,青藏队植被组,9984,19760901,西藏自治区,4780,砾石坡。,,有花无果,https://image.cvh.ac.cn/files/l/PE/00049139.jpg,,,,,,,,,, +宽距翠雀花,Delphinium beesianum,孙航,李新辉,陈林杨等,SunH-07ZX-2935,20100927,四川,4300,高山草甸,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232435.jpg,,,,,,,,,, +宽距翠雀花,Delphinium beesianum,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/074548.jpg,,,,,,,,,, +短萼翠雀花,Delphinium brevisepalum,赵裕章,21945,19391020,云南,,树林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1203898.jpg,,,,,,,,,, +拟螺距翠雀花,Delphinium bulleyanum,杨亲二,袁琼,YangQE2258,20080815,云南,3300,林间草地,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232438.jpg,,,,,,,,,, +拟螺距翠雀花,Delphinium bulleyanum,FLPH Tibet Expedition,12-1377,20120916,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966652.jpg,,,,,,,,,, +拟螺距翠雀花,Delphinium bulleyanum,Q.E.Yang and Q.Yuan,160,20030915,云南省,3400~3800,forest margin,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350399.jpg,,,,,,,,,, +美叶翠雀花,Delphinium calophyllum,陶德定,10812,19760805,西藏自治区,5000~4800,高山草坡石栎山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/297906.jpg,,,,,,,,,, +美叶翠雀花,Delphinium calophyllum,吴玉虎等,3589,19860723,青海省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0219995.jpg,,,,,,,,,, +驴蹄草叶翠雀花,Delphinium calthifolium,唐昌林等,647,1984-9 1,四川省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172220.jpg,,,,,,,,,, +,Delphinium campylocentrum,郭本兆,9469,19710812,青海省,0,灌从草甸,,有花有果,https://image.cvh.ac.cn/files/l/KUN/297901.jpg,,,,,,,,,, +弯距翠雀花,Delphinium campylocentrum,D.E.Boufford et al.,40121,20070820,四川省,3650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859755.jpg,,,,,,,,,, +弯距翠雀花,Delphinium campylocentrum,姜在民 杜诚 刘培亮等,1220,2009/8/20,陕西省,1500,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/519679.jpg,,,,,,,,,, +奇林翠雀花,Delphinium candelabrum,青藏队植被组,12045,19760731,,5000,山口沙质湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00049127.jpg,,,,,,,,,, +单花翠雀花,Delphinium candelabrum,刘全儒,ALT.288,20140729,新疆省,4871,荒漠,草本,,https://image.cvh.ac.cn/files/l/BNU/0027505.jpg,,,,,,,,,, +奇林翠雀花,Delphinium candelabrum,D.E.Boufford et al.,31411,20040731,西藏自治区,4400~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602537.jpg,,,,,,,,,, +尾裂翠雀花,Delphinium caudatolobum,E.D.Boufford et al.,36645,20060816,四川省,4475,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01505873.jpg,,,,,,,,,, +假角萼翠雀,Delphinium ceratophoroides,青藏队,10609,19820925,西藏自治区,3700,山坡Abies林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01108314.jpg,,,,,,,,,, +拟角萼翠雀花,Delphinium ceratophoroides,张廷,蔡杰,袁明等,09CS1605,20090926,西藏,3313,高山栎,冷杉林林缘山坡,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232549.jpg,,,,,,,,,, +拟角萼翠雀花,Delphinium ceratophoroides,四川经济植物考察队,515,1971-9 2,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0024532.jpg,,,,,,,,,, +察隅翠雀花,Delphinium chayuense,FLPH Tibet Expedition,12-1430,20120917,西藏自治区,4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966673.jpg,,,,,,,,,, +察隅翠雀花,Delphinium chayuense,青藏队,10671,19820926,西藏,4000,山坡Abies林缘草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1203905.jpg,,,,,,,,,, +白缘翠雀花,Delphinium chenii,杨竞生,8332,1976-08-,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087250.jpg,,,,,,,,,, +黄毛翠雀花,Delphinium chrysotrichum,张永田,郎楷永,2415,19650901,西藏,5200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/297829.jpg,,,,,,,,,, +黄毛翠雀花,Delphinium chrysotrichum,C.S.Liu,1256,19340821,四川省,4260,mt.slope open place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500225.jpg,,,,,,,,,, +黄毛翠雀花,Delphinium chrysotrichum,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00254175.jpg,,,,,,,,,, +珠穆朗玛峰翠雀,Delphinium chumulangmaense,中日考察队,T709,19900619,西藏自治区,5300,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00500235.jpg,,,,,,,,,, +仲巴翠雀花,Delphinium chungbaense,青藏队,6677,19750806,西藏自治区,5600,岩屑坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00026971.jpg,,,,,,,,,, +鞘柄翠雀,Delphinium coleopodum,黄光中,3,19600726,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/GZTM/0010894.jpg,,,,,,,,,, +鞘柄翠雀花,Delphinium coleopodum,联大,21327,0,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/297808.jpg,,,,,,,,,, +鞘柄翠雀花,Delphinium coleopodum,,21327,,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0002088.jpg,,,,,,,,,, +错那翠雀花,Delphinium conaense,FLPH Tibet Expedition,12-0849,20120903,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01966671.jpg,,,,,,,,,, +错那翠雀花,Delphinium conaense,青藏补点组,751959,19750910,西藏,3400-3500,林下湿地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1203909.jpg,,,,,,,,,, +谷地翠雀花,Delphinium davidii,宋滋圃,39128,1954,四川,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298194.jpg,,,,,,,,,, +谷地翠雀花,Delphinium davidii,"张文锦,陈光后等",,19990907,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01315200.jpg,,,,,,,,,, +谷地翠雀花,Delphinium davidii,J.F.ROCK,17317,19280900,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/091048798_1.jpg,,,,,,,,,, +拟长距翠雀花,Delphinium dolichocentroides,Q.E.Yang and Q.Yuan,363,20040930,云南省,2900,scrub on rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350486.jpg,,,,,,,,,, +拟长距翠雀花,Delphinium dolichocentroides,T.T.Yu,14008,19370819,四川省,3400,grassy slope,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00934928.jpg,,,,,,,,,, +拟长距翠雀花,Delphinium dolichocentroides,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191448,20190923,云南,3643,亚热带针阔混交林,灌丛草地上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486456.jpg,,,,,,,,,, +二郎山翠雀花,Delphinium erlangshanicum,Q.E.Yang and Q.Yuan,238,20040905,四川省,2200,rocks on sunny slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350489.jpg,,,,,,,,,, +二郎山翠雀花,Delphinium erlangshanicum,陈世龙,张得钧,高庆波等,ChenSL0431,20080811,四川,3500,高山草甸,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232568.jpg,,,,,,,,,, +短距翠雀花,Delphinium forrestii,,21599,,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0002093.jpg,,,,,,,,,, +短距翠雀花,Delphinium forrestii,联大,21599,0,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298065.jpg,,,,,,,,,, +短距翠雀花,Delphinium forrestii,藏药队,791,19710830,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/24311.jpg,,,,,,,,,, +无毛茎翠雀,Delphinium glabricaule,D.E.Boufford et al.,39234,20070807,四川省,3720~4100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859742.jpg,,,,,,,,,, +贡嘎翠雀花,Delphinium gonggaense,E.D.Boufford et al.,33152,20050719,四川省,3340~3650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01505861.jpg,,,,,,,,,, +,Delphinium grandilimbum,,,,,,,,,,,,,,,,,,, +拉萨翠雀花,Delphinium gyalanum,杨竞生,89-050,1989-10-,西藏省,3900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087384.jpg,,,,,,,,,, +拉萨翠雀花,Delphinium gyalanum,扎西次仁,ZhongY156,20080814,西藏,3979,高山草地,灌丛边,田边或岩石屑堆山坡,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232579.jpg,,,,,,,,,, +,Delphinium gyalanum,"Kingdon-Ward, Frank",5969,21-Jul-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00438678.jpg,,,,,,,,,, +,Delphinium hillcoatiae,青藏科考队,7938,19750925,西藏自治区,3600,屋顶背阴处,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934964.jpg,,,,,,,,,, +毛莨叶翠雀花,Delphinium hillcoatiae,扎西次仁,ZhongY143,20080813,西藏,3644,村边或草坡,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232584.jpg,,,,,,,,,, +毛茛叶翠雀花,Delphinium hillcoatiae,郭先林、肖燕萍,2041164,20200720,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02041164.jpg,,,,,,,,,, +毛叶翠雀花,Delphinium hirtifolium,赵清盛、牟克华、杨亚滨,6794,1978-7 2,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172104.jpg,,,,,,,,,, +湟中翠雀花,Delphinium huangzhongense,刘尚武,2986,19890720,青海省,3400,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458878.jpg,,,,,,,,,, +贡噶翠雀花,Delphinium hui,青藏队,5570,19810829,四川省,4600,山坡期石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01358215.jpg,,,,,,,,,, +贡噶翠雀花,Delphinium hui,Q.E.Yang and Q.Yuan,122,20030910,云南省,4400,rocky grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350304.jpg,,,,,,,,,, +贡噶翠雀花,Delphinium hui,方震东,666,20020807,云南,3650,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009005.jpg,,,,,,,,,, +,Delphinium humilius,Q.E.Yang and Q.Yuan,282,20040910,四川省,4400,scree,,无花有果,https://image.cvh.ac.cn/files/l/PE/01349984.jpg,,,,,,,,,, +,Delphinium humilius,杨竞生,8331,19760802,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00477358.jpg,,,,,,,,,, +乡城翠雀花,Delphinium humilius,,305,29081,四川,3800,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM704603150.jpg,,,,,,,,,, +,Delphinium incisolobulatum,D.E.Boufford et al.,32413,20040814,西藏自治区,3675,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01505859.jpg,,,,,,,,,, +缺刻翠雀花,Delphinium incisolobulatum,吴征镒等,5136,19760827,西藏,,云杉林缘灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1203928.jpg,,,,,,,,,, +甘肃翠雀花,Delphinium kansuense,Q.E.Yang and Q.Yuan,386,20050815,青海省,2700,scrub on stream side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350351.jpg,,,,,,,,,, +甘肃翠雀花,Delphinium kansuense,,342,19500800,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500194.jpg,,,,,,,,,, +甘肃翠雀花,Delphinium kansuense,倪志诚,次多,次旦,廖世荣,2065,19810907,西藏自治区,4100,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001613.jpg,,,,,,,,,, +甘孜翠雀花,Delphinium kantzeense,崔友文,4303,19510708,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00026988.jpg,,,,,,,,,, +甘孜翠雀花,Delphinium kantzeense,邓姣姣、卫靜丽、刘常坤,LDW-38-V-059,20200921,四川,4023.32m,山坡草地,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02060727.jpg,,,,,,,,,, +喀什翠雀花,Delphinium kaschgaricum,新疆采集队,1923,1978/8/4,新疆维吾尔族自治区,3300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0336642.jpg,,,,,,,,,, +喀什翠雀花,Delphinium kaschgaricum,新疆采集队,1470,1978.7.1,新疆维吾尔自治区 ,4620,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00009993.jpg,,,,,,,,,, +喀什翠雀花,Delphinium kaschgaricum,新疆采集队,1470,1978715,,4620,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20009796.jpg,,,,,,,,,, +尖裂密叶翠雀花,Delphinium kingianum,PE西藏队,PE6117,20170907,西藏自治区,4474,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309349.jpg,,,,,,,,,, +密叶翠雀花,Delphinium kingianum,吴征镒等,866,19750717,西藏,4740,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298288.jpg,,,,,,,,,, +尖裂密叶翠雀花,Delphinium kingianum,,13743,19760914,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00049186.jpg,,,,,,,,,, +昆仑翠雀花,Delphinium kunlunshanicum,青藏队,996,19870814,新疆维吾尔自治区,3000,山沟云杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500411.jpg,,,,,,,,,, +毛药翠雀花,Delphinium lasiantherum,武素功,2923,19591103,四川省,2900~3400,山沟疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500349.jpg,,,,,,,,,, +毛序聚伞翠雀花,Delphinium laxicymosum,张晓冬等,1998/8/11,19980831,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00477552.jpg,,,,,,,,,, +毛序聚伞翠雀花,Delphinium laxicymosum,,2334,23912,四川,1300,半阴,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM704603160.jpg,,,,,,,,,, +,Delphinium laxicymosum,F. T. Wang bis,21767,1930/7/20,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00038284.jpg,,,,,,,,,, +光叶翠雀花,Delphinium leiophyllum,"S. Akiyama ,H. Ikeda,武素功,吕元林,陈绍田,向建英,Yangzhen",106245,20010811,西藏自治区,4530,on grazed grassland,,,https://image.cvh.ac.cn/files/l/KUN/1295237.jpg,,,,,,,,,, +光轴翠雀花,Delphinium leiostachyum,青藏队,13215,19830821,四川省,3500,山坡高山栎灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500357.jpg,,,,,,,,,, +丽江翠雀花,Delphinium likiangense,苏涛,黄永江,杨青松,王力,ZhouZK11161,20110911,四川,3836,高山草坡,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232609.jpg,,,,,,,,,, +丽江翠雀花,Delphinium likiangense,Q.E.Yang and Q.Yuan,174,20030916,云南省,4000,rocky grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350357.jpg,,,,,,,,,, +丽江翠雀花,Delphinium likiangense,J.F.Rock,24820,19320600,云南省 ,4050,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00183885.jpg,,,,,,,,,, +长梗翠雀花,Delphinium longipedicellatum,覃海宁等,324,20010811,西藏自治区,3600,桦木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602551.jpg,,,,,,,,,, +金沙翠雀花,Delphinium majus,"杨亲二,袁琼",Yangqe2338,20080819,云南省,2800,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043173.jpg,,,,,,,,,, +金沙翠雀花,Delphinium majus,,23172,19570724,四川省,2550,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00477676.jpg,,,,,,,,,, +金沙翠雀花,Delphinium majus,普查队,605,29085,四川,3600,阴湿,林下,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM704603221.jpg,,,,,,,,,, +软叶翠雀花,Delphinium malacophyllum,Harry Smith,3385,19220811,四川省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00027008.jpg,,,,,,,,,, +软叶翠雀花,Delphinium malacophyllum,史国宝,38,Aug-80,青海省,4000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087443.jpg,,,,,,,,,, +软叶翠雀花,Delphinium malacophyllum,J.F.Rock,13092,19250803,甘肃省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00183907.jpg,,,,,,,,,, +茂县翠雀花,Delphinium maoxianense,何铸 周子林,13686,19520000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00027009.jpg,,,,,,,,,, +多枝翠雀花,Delphinium maximowiczii,T.N.Liou,8256,19341003,河北省,0~600,,,有花无果,https://image.cvh.ac.cn/files/l/N/091048831.jpg,,,,,,,,,, +多枝翠雀花,Delphinium maximowiczii,W.Y.Hisa,3908,19330823,宁夏回族自治区,1450,,herb,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 003574.jpg,,,,,,,,,, +多枝翠雀花,Delphinium maximowiczii,"李全喜,赵兴存",2731,19640825,四川省,1550,道边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00477582.jpg,,,,,,,,,, +墨脱翠雀花,Delphinium medogense,生态室高原组,14711,19800902,西藏自治区,3800,林缘附近高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500258.jpg,,,,,,,,,, +,Delphinium motingshanicum,,,,,,,,,,,,,,,,,,, +,Delphinium muliense,T. T. Yu,6989,1937/9/25,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038289.jpg,,,,,,,,,, +木里翠雀花,Delphinium muliense,Q.E.Yang and Q.Yuan,29,20030812,云南省,4100,moist valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350403.jpg,,,,,,,,,, +木里翠雀花,Delphinium muliense,杨亲二,孔航辉,李磊,YangQE3066,20100822,云南,4096,林下草地,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232610.jpg,,,,,,,,,, +囊谦翠雀花,Delphinium nangchienense,陈世龙,高庆波,张发起等,ChenSL1046,20100815,青海,3270,高山河谷,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232611.jpg,,,,,,,,,, +囊谦翠雀花,Delphinium nangchienense,陈晓澄等,Chenxc-341,20170908,西藏,4410,灌木丛下草地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018248.jpg,,,,,,,,,, +囊谦翠雀花,Delphinium nangchienense,Q.E.Yang and Q.Yuan,433,20050821,青海省,3600,scrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859917.jpg,,,,,,,,,, +宁朗山翠雀花,Delphinium ninglangshanicum,青藏队,14187,19830923,四川省,3800,山口 灌丛 草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00027027.jpg,,,,,,,,,, +光梗翠雀花,Delphinium obcordatilimbum,四川省植被调查队,2100,19730712,四川省,2800,生于阴湿沟边 草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935075.jpg,,,,,,,,,, +倒心形翠雀花,Delphinium obcordatilimbum,青藏队植被组,9213,19760721,西藏自治区,3850,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00027029.jpg,,,,,,,,,, +倒心形翠雀花,Delphinium obcordatilimbum,郭绍荣,,,云南省,,荒山岩石缝里杂草丛中,,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0001801.jpg,,,,,,,,,, +直距翠雀花,Delphinium orthocentrum,平武队,463,19780716,四川,,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM704603124.jpg,,,,,,,,,, +直距翠雀花,Delphinium orthocentrum,郭本兆,11931,19750808,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00183693.jpg,,,,,,,,,, +直距翠雀花,Delphinium orthocentrum,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00090112.jpg,,,,,,,,,, +粗距翠雀花,Delphinium pachycentrum,J.F.ROCK,17338,19220900,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/091048832.jpg,,,,,,,,,, +,Delphinium pachycentrum,陈世龙,张得钧,高庆波等,ChenSL0364,20080808,青海,4590,草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1232615.jpg,,,,,,,,,, +粗距翠雀花,Delphinium pachycentrum,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",1214,19930814,青海省,4200~4600,Valley sides with dense turf and areas of large rounded boulders.Growing amongst boulders.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467550.jpg,,,,,,,,,, +纸叶翠雀花,Delphinium pergameneum,郎楷永 李勃生 李良千,3742,19810825,云南省,3600,云冷杉 林内草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935077.jpg,,,,,,,,,, +纸叶翠雀花,Delphinium pergameneum,方震东,323,20030708,云南,,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008982.jpg,,,,,,,,,, +波密翠雀花,Delphinium pomeense,"应俊生,洪德元",650985,19650823,西藏自治区,4000,Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467580.jpg,,,,,,,,,, +光序拟弯距翠雀花,Delphinium pseudocampylocentrum,D.E.Boufford et al.,39442,20070810,四川省,3830,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859754.jpg,,,,,,,,,, +,Delphinium pseudocampylocentrum,"Yang, K.H.",58941,23-Aug-58,,,,,,https://image.cvh.ac.cn/files/l/E/E00438733.jpg,,,,,,,,,, +拟冰川翠雀花,Delphinium pseudoglaciale,西藏队 植被组,6052,19750902,西藏自治区,5000,流石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935084.jpg,,,,,,,,,, +翠雀属,Delphinium pseudoglaciale,西藏生物所,81,19880714,西藏,5000,高寒草地,,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001652.jpg,,,,,,,,,, +宁蒗翠雀花,Delphinium pseudohamatum,Q.E.Yang and Q.Yuan,356,20040930,四川省,3360,rocky slope on roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350503.jpg,,,,,,,,,, +宁蒗翠雀花,Delphinium pseudohamatum,田效文等,97(6),19810908,云南省,3790,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934948.jpg,,,,,,,,,, +拟美丽翠雀花,Delphinium pseudopulcherrimum,FLPH Tibet Expedition,12-0462,20120911,西藏自治区,4900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966674.jpg,,,,,,,,,, +宽萼翠雀花,Delphinium pseudopulcherrimum,陈晓澄等,6750,20140813,西藏,2923,阔叶林及针叶林下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00022247.jpg,,,,,,,,,, +,Delphinium pseudothibeticum,,,,,,,,,,,,,,,,,,, +拟川西翠雀花,Delphinium pseudotongolense,陈明洪等,981474,19980700,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859591.jpg,,,,,,,,,, +拟川西翠雀花,Delphinium pseudotongolense,宝普队,78-0864,28703,四川,,路边,草丛,饮阴湿处,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM704603229.jpg,,,,,,,,,, +普蓝翠雀花,Delphinium pulanense,FLPH Tibet Expedition,12-0279,20120907,西藏自治区,5530,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966665.jpg,,,,,,,,,, +矮翠雀花,Delphinium pumilum,Q.E.Yang and Q.Yuan,340,20040925,四川省,3800,rocky grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350241.jpg,,,,,,,,,, +矮翠雀花,Delphinium pumilum,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13973,20161018,四川,3838,山坡灌?丛,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1448959.jpg,,,,,,,,,, +矮翠雀花,Delphinium pumilum,J.F. Rock,18316,29-Sep,四川; SZECHWAN,4300,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00066498.jpg,,,,,,,,,, +紫苞翠雀花,Delphinium purpurascens,西藏中草药普查队,1815,19720905,西藏自治区,4700,砾石堆,,有花无果,https://image.cvh.ac.cn/files/l/PE/00048364.jpg,,,,,,,,,, +大通翠雀花,Delphinium pylzowii,青藏补点组,751265,19750804,西藏自治区,3400,林间草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298258.jpg,,,,,,,,,, +大通翠雀花,Delphinium pylzowii,陈实,83,1958/7/20,陕西省 ,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0054988.jpg,,,,,,,,,, +大通翠雀花,Delphinium pylzowii,Ki-Mon Liou,6434,,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087495.jpg,,,,,,,,,, +青海翠雀花,Delphinium qinghaiense,郑度 郭柯,12592,19880906,青海省,4650,山坡 中部 凹地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00935092.jpg,,,,,,,,,, +青海翠雀花,Delphinium qinghaiense,秦仁昌,21413,19390901,云南省,0,on open hillside,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298035.jpg,,,,,,,,,, +壤塘翠雀花,Delphinium rangtangense,陈伟烈 陈家瑞等,7433,19840708,四川省,3300,冷云杉林,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935096.jpg,,,,,,,,,, +日土翠雀花,Delphinium rutoense,生物研究所西藏考察队,3581,19740723,西藏自治区,5300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/113674.jpg,,,,,,,,,, +岩生翠雀花,Delphinium saxatile,杜大华/T.H.Tu,4366,19330708,四川省,2100,路边 石岩上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00027070.jpg,,,,,,,,,, +米林翠雀花,Delphinium sherriffii,西藏中草药普查队,4106,19720720,西藏自治区,3300~3400,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467744.jpg,,,,,,,,,, +五果翠雀花,Delphinium sinopentagynum,四川药原普查队,20572,19600813,四川省,2800,山沟 路边草丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00935097.jpg,,,,,,,,,, +五果翠雀花,Delphinium sinopentagynum,,1956/5/31,20606,四川,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM704603195.jpg,,,,,,,,,, +花葶翠雀花,Delphinium sinoscaposum,杜大华/曲桂龄,3606,19360815,四川省,3500,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00027071.jpg,,,,,,,,,, +花莛翠雀花,Delphinium sinoscaposum,郭本兆,6689,19650823,青海省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/11885.jpg,,,,,,,,,, +宝兴翠雀花,Delphinium smithianum,黄治平等,1613,19300724,四川,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298252.jpg,,,,,,,,,, +,Delphinium smithianum,K. A. H. Smith,11274,1934/8/20,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038293.jpg,,,,,,,,,, +宝兴翠雀花,Delphinium smithianum,Q.E.Yang and Q.Yuan,531,20051001,四川省,4250,scree,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350514.jpg,,,,,,,,,, +川甘翠雀花,Delphinium souliei,陈桂琛等,1602,19980717,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/186048.jpg,,,,,,,,,, +川甘翠雀花,Delphinium souliei,,2744,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467786.jpg,,,,,,,,,, +川甘翠雀花,Delphinium souliei,聂秀青、熊丰、肖元明、多杰才旦,QHGC0631,20170812,青海,3715,高原、高寒灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027341.jpg,,,,,,,,,, +,Delphinium spirocentrum,"Forrest, George",30044,,,,,,,https://image.cvh.ac.cn/files/l/E/E00438729.jpg,,,,,,,,,, +螺距翠雀花,Delphinium spirocentrum,余奇、熊先华、李琳霖,THP-KD-4026,20170811,四川,3318~3743,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243784.jpg,,,,,,,,,, +螺距翠雀花,Delphinium spirocentrum,张挺,刘成,郭永杰等,09CS1386,20090720,云南,3234,,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232636.jpg,,,,,,,,,, +匙苞翠雀花,Delphinium subspathulatum,西藏中草药普查队,1652,19720830,西藏自治区,3800,林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00027079.jpg,,,,,,,,,, +松潘翠雀花,Delphinium sutchuenense,D.E.Boufford et al.,39188,20070807,四川省,4250~4530,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859744.jpg,,,,,,,,,, +松潘翠雀花,Delphinium sutchuenense,"杨亲二,孔宏智",98004,19980717,甘肃省,2000,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467820.jpg,,,,,,,,,, +松潘翠雀花,Delphinium sutchuenense,余奇、熊先华、李琳霖,THP-KD-4024,20170811,四川,3318~3743,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242763.jpg,,,,,,,,,, +唐古拉翠雀花,Delphinium tangkulaense,Q.E.Yang and Q.Yuan,409,20050818,青海省,4600,beside river,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350517.jpg,,,,,,,,,, +唐古拉翠雀花,Delphinium tangkulaense,田新民,王志强,邹嘉宾,LiuJQ-Txm10-069,20100818,青海,4702,高寒草地,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232640.jpg,,,,,,,,,, +唐古拉翠雀花,Delphinium tangkulaense,陈家辉,庄会富,刘德团,YangYP-Q-0177,20080906,西藏,4283,草甸,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232641.jpg,,,,,,,,,, +塔什库尔干翠雀花,Delphinium taxkorganense,"武素功,吴玉虎,黄勇",4891,19890812,新疆维吾尔自治区,4700,On quickstone near glacile,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500158.jpg,,,,,,,,,, +长距翠雀花,Delphinium tenii,C.W.Wang,65186,19350800,云南省 ,3000,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00051772.jpg,,,,,,,,,, +长距翠雀花,Delphinium tenii,刘慎谔,21311,1946-10-,辽宁省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087554.jpg,,,,,,,,,, +长距翠雀花,Delphinium tenii,杨竞生,,,西藏省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087551.jpg,,,,,,,,,, +四果翠雀花,Delphinium tetragynum,"武素功,吴玉虎,黄勇",5037,19890815,新疆维吾尔自治区,4500,Among stone crack on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500160.jpg,,,,,,,,,, +四果翠雀花,Delphinium tetragynum,西植新疆队,1119,1978/7/6,新疆维吾尔族自治区,4590,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0334323.jpg,,,,,,,,,, +四果翠雀花,Delphinium tetragynum,克里木,T114,1983.08.,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00010013.jpg,,,,,,,,,, +澜沧翠雀花,Delphinium thibeticum,D.E.Boufford et al.,30825,20040719,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602541.jpg,,,,,,,,,, +澜沧翠雀花,Delphinium thibeticum,C.W.Wang,66226,19350900,西藏自治区,3500,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467898.jpg,,,,,,,,,, +澜沧翠雀花,Delphinium thibeticum,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0230,20080718,西藏,3873,高山灌丛,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1232644.jpg,,,,,,,,,, +川西翠雀花,Delphinium tongolense,应俊生,4660,19600811,四川,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298846.jpg,,,,,,,,,, +川西翠雀花,Delphinium tongolense,康藏植物考察队,10-2215,20100818,西藏自治区,4000~4100,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966663.jpg,,,,,,,,,, +川西翠雀花,Delphinium tongolense,洮河队,742,19910813,甘肃省,3500,草滩,,有花无果,https://image.cvh.ac.cn/files/l/KUN/393970.jpg,,,,,,,,,, +毛翠雀花,Delphinium trichophorum,Soulie,2384,,西藏; Tibet,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00066551.jpg,,,,,,,,,, +毛翠雀花,Delphinium trichophorum,K.T.Fu,1563,19370823,甘肃省,3900,among weeda.on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467948.jpg,,,,,,,,,, +毛翠雀花,Delphinium trichophorum,康藏考察队,10-1067,20100801,青海省,3572,江边云杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966691.jpg,,,,,,,,,, +堆拉翠雀花,Delphinium wardii,"洪德元,王强",XZ034,20110901,西藏自治区,4300,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913279.jpg,,,,,,,,,, +,Delphinium wardii,"Kingdon-Ward, Frank",6193,16-Sep-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00438686.jpg,,,,,,,,,, +汶川翠雀花,Delphinium wenchuanense,成都生物研究所调查队,8282,19750713,四川省,2500,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00027098.jpg,,,,,,,,,, +,Delphinium wrightii,杨声智,,19811000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1262280.jpg,,,,,,,,,, +狭序翠雀花,Delphinium wrightii,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191495,20190927,云南,4184,亚热带,高山灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486233.jpg,,,,,,,,,, +狭序翠雀花,Delphinium wrightii,青藏队,12384,19830723,四川省,3700,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01108466.jpg,,,,,,,,,, +乌恰翠雀花,Delphinium wuqiaense,西植新疆队,2144,1978.7.2,新疆维吾尔自治区 ,3200,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00010061.jpg,,,,,,,,,, +乌恰翠雀花,Delphinium wuqiaense,新疆采集队,1923,1978/8/4,新疆维吾尔族自治区,3300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0336641.jpg,,,,,,,,,, +乌恰翠雀花,Delphinium wuqiaense,,2012,19560818,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500412.jpg,,,,,,,,,, +雅江翠雀花,Delphinium yajiangense,四川药源普查队,25183,19600814,四川省,3500,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00112051.jpg,,,,,,,,,, +竞生翠雀花,Delphinium yangii,杨竞生,8436,19760805,云南省,4500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00935108.jpg,,,,,,,,,, +岩瓦翠雀花,Delphinium yanwaense,郎楷永 李勃生等/Lang Kai-yung & Li Be-sheng et al.,1325,19810711,云南省,2700,阿尼北村附近 岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00027105.jpg,,,,,,,,,, +叶城翠雀花,Delphinium yechengense,"李渤生,杜泽泉,张百平",11428,19870905,新疆维吾尔自治区,4600,山口南坡砾石河滩中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01344745.jpg,,,,,,,,,, +永宁翠雀花,Delphinium yongningense,J.F.Rock,5167,19220500,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00935109.jpg,,,,,,,,,, +,Delphinium yuanum,T. T. Yu,12490,1937/7/27,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038299.jpg,,,,,,,,,, +中甸翠雀花,Delphinium yuanum,Q.E.Yang and Q.Yuan,36,20030816,云南省,2500,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350370.jpg,,,,,,,,,, +中甸翠雀花,Delphinium yuanum,D.E.Boufford et al.,28550,19980711,四川省,3040~3100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01578926.jpg,,,,,,,,,, +玉龙山翠雀花,Delphinium yulungshanicum,包成章,63-20455,19630910,云南,3700,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1203980.jpg,,,,,,,,,, +镱锂翠雀花,Delphinium zhangii,张镱锂,298,19980715,新疆维吾尔自治区,2800~3000,维依克山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500409.jpg,,,,,,,,,, +钩状石斛,Dendrobium aduncum,吕清华,2338,19590605,云南省 ,700,山地 水旁 密林 湿土 石上 树上,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00557836.jpg,,,,,,,,,, +钩状石斛,Dendrobium aduncum,胡秀英,13824,19750619,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00293466.jpg,,,,,,,,,, +钩状石斛,Dendrobium aduncum,N.K. Chun,41111,1930/5/5,广东; KWANGTUNG,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00029278.jpg,,,,,,,,,, +,Dendrobium amoenum,,,,,,,,,,,,,,,,,,, +,Dendrobium anceps,,,,,,,,,,,,,,,,,,, +兜唇石斛,Dendrobium aphyllum,金效华,337,20000800,贵州,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820788.jpg,,,,,,,,,, +兜唇石斛,Dendrobium aphyllum,金效华,339,20000800,贵州省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820833.jpg,,,,,,,,,, +兜唇石斛,Dendrobium aphyllum,刘仲健,6585,20121127,云南省,1450,生于树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228697.jpg,,,,,,,,,, +,Dendrobium arunachalense,,,,,,,,,,,,,,,,,,, +双槽石斛,Dendrobium bicameratum,李剑武,4355,20150718,云南,1700,常绿阔叶林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028912.jpg,,,,,,,,,, +,Dendrobium catenatum,刘仲健,8460,20150804,广西壮族自治区,,生于松树皮、桑树枝、玉米芯上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228686.jpg,,,,,,,,,, +,Dendrobium catenatum,刘仲健,6870,20121224,广东省,101,松树皮基质,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228699.jpg,,,,,,,,,, +,Dendrobium catenatum,刘仲健,8443,20150804,云南省,630,种于木屑、松树皮基质中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228526.jpg,,,,,,,,,, +束花石斛,Dendrobium chrysanthum,叶金科,YNS0492,20090325,云南,1050,寄生它树上,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393807.jpg,,,,,,,,,, +束花石斛,Dendrobium chrysanthum,A.Henry,11094,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0626185.jpg,,,,,,,,,, +束花石斛,Dendrobium chrysanthum,,28,19730819,广西壮族自治区,510,阴湿石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997806.jpg,,,,,,,,,, +鼓槌石斛,Dendrobium chrysotoxum,C.W.Wang,76287,1936/07/,云南,1800,,Piphytic,无花无果,https://image.cvh.ac.cn/files/l/WUK/0047366.jpg,,,,,,,,,, +鼓槌石斛,Dendrobium chrysotoxum,"明兴加,李博然",SH0729005,20150729,四川省,635,开放式栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228531.jpg,,,,,,,,,, +鼓槌石斛,Dendrobium chrysotoxum,刘仲健,SH0818054,20150824,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228519.jpg,,,,,,,,,, +玫瑰石斛,Dendrobium crepidatum,北京队,890849,19890505,广西壮族自治区,400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997804.jpg,,,,,,,,,, +玫瑰石斛,Dendrobium crepidatum,,83-0087,19830403,云南省,1200~1700,山地 雨林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01594246.jpg,,,,,,,,,, +,Dendrobium cumulatum,,,,,,,,,,,,,,,,,,, +密花石斛,Dendrobium densiflorum,Tsang W.T.,22286,1933/5/5,广西; KWANGSI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00029297.jpg,,,,,,,,,, +密花石斛,Dendrobium densiflorum,郭惠珠,谷悦,2696,20100927,福建,43~201.3,盆栽,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0007861.jpg,,,,,,,,,, +密花石斛,Dendrobium densiflorum,F.P. Metcalf,18003,1934/5/5,广东; KWANGTUNG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00026971.jpg,,,,,,,,,, +,Dendrobium denudans,金效华,8510,20060927,云南省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825136.jpg,,,,,,,,,, +,Dendrobium denudans,金效华,8510,20060927,云南,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825136.jpg,,,,,,,,,, +齿瓣石斛,Dendrobium devonianum,王启无,73564,19360500,云南省 ,0~1530,,epyphite,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0626247.jpg,,,,,,,,,, +齿瓣石斛,Dendrobium devonianum,刘仲健,6581,20121127,云南省,1450,生于树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228696.jpg,,,,,,,,,, +齿瓣石斛,Dendrobium devonianum,金效华,8949,20070424,云南,2212,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825137.jpg,,,,,,,,,, +串珠石斛,Dendrobium falconeri,刘昂、丁聪,LK0834,20200612,湖南,1100,山坡密林,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI075760.jpg,,,,,,,,,, +串珠石斛,Dendrobium falconeri,李剑武,4586,20161124,云南,1720,常绿阔叶林,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029063.jpg,,,,,,,,,, +串珠石斛,Dendrobium falconeri,Xiaohua Jin,16088,20150717,云南省,1000,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233175.jpg,,,,,,,,,, +,Dendrobium farmeri,,,,,,,,,,,,,,,,,,, +流苏石斛 ,Dendrobium fimbriatum,环江县普查队,451226130426027LY,20130426,广西,422,阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0113732.jpg,,,,,,,,,, +流苏石斛,Dendrobium fimbriatum,方鼎 覃德海 王振刚,25054,19810429,,1220,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI052639.jpg,,,,,,,,,, +流苏石斛,Dendrobium fimbriatum,刘仲健,8465,20150804,广西壮族自治区,83,生于树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228690.jpg,,,,,,,,,, +,Dendrobium formosum,,,,,,,,,,,,,,,,,,, +,Dendrobium forrestii,,,,,,,,,,,,,,,,,,, +,Dendrobium fugax,,,,,,,,,,,,,,,,,,, +曲轴石斛,Dendrobium gibsonii,王启无,72717,19360300,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0626314.jpg,,,,,,,,,, +曲轴石斛,Dendrobium gibsonii,胡启和,仇亚,周兵等,YNS0797,20100309,云南,1039,公路边,附生草本,,https://image.cvh.ac.cn/files/l/KUN/1393811.jpg,,,,,,,,,, +曲轴石斛,Dendrobium gibsonii,马宜中,226,19860724,云南省,,附生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00850405.jpg,,,,,,,,,, +杯鞘石斛,Dendrobium gratiosissimum,马宜中,220,19860429,云南省,,附生茶树上1-2m处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00851328.jpg,,,,,,,,,, +杯鞘石斛,Dendrobium gratiosissimum,李剑武,3075,20130504,云南,1300,常绿阔叶林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028345.jpg,,,,,,,,,, +疏花石斛,Dendrobium henryi,方鼎 赖茂祥 徐少平,25355,19820615,,1200,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI052641.jpg,,,,,,,,,, +疏花石斛,Dendrobium henryi,税玉民,3454,19930419,云南省,1300,山沟密林中树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033241.jpg,,,,,,,,,, +疏花石斛,Dendrobium henryi,"张志松,张永田",7967,19600820,贵州省,1300,山坡草绿林中,石岩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00293754.jpg,,,,,,,,,, +尖刀唇石斛,Dendrobium heterocarpum,,8124,19310000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01634328.jpg,,,,,,,,,, +尖刀唇石斛,Dendrobium heterocarpum,吉占和,220,19840106,云南省,1500,附生树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00850225.jpg,,,,,,,,,, +尖刀唇石斛,Dendrobium heterocarpum,H.T.Tsai,56357,19330301,云南省 ,0~1750,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0626285.jpg,,,,,,,,,, +金耳石斛,Dendrobium hookerianum,T.T.Yu,19201,19370706,云南省 ,0~1300,,herb perenrial,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0626286.jpg,,,,,,,,,, +金耳石斛,Dendrobium hookerianum,刘成、何华杰、黄莉、杨忠兰,14CS8582,20141111,云南,1260,附生于路边榕树上,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1393812.jpg,,,,,,,,,, +金耳石斛,Dendrobium hookerianum,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T213,20160915,西藏自治区,1524,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233100.jpg,,,,,,,,,, +聚石斛,Dendrobium jenkinsii,钟树权,A61245,1956/7/12,广西,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0260088.jpg,,,,,,,,,, +聚石斛,Dendrobium jenkinsii,C.W.Wang,76218,1936/07/,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0047407.jpg,,,,,,,,,, +小黄花石斛,Dendrobium jenkinsii,田儒明,522229150609934LY,20150609,贵州省,655,栽培、湿生、耐阴、栽培植被、酸性土、中温,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0050169.jpg,,,,,,,,,, +,Dendrobium khasianum,,,,,,,,,,,,,,,,,,, +聚石斛,Dendrobium lindleyi,,s.n.,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850237.jpg,,,,,,,,,, +聚石斛,Dendrobium lindleyi,曹子余,1011,19581013,贵州省,800,附生于树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00293824.jpg,,,,,,,,,, +聚石斛,Dendrobium lindleyi,邬文祥,8737,19890715,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585595.jpg,,,,,,,,,, +喇叭唇石斛,Dendrobium lituiflorum,殷建涛,刘强,2036,20110308,云南,600,农家栽培,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030475.jpg,,,,,,,,,, +,Dendrobium lituiflorum,C.W.Wang,72725,19360300,云南省,,"N-slope,tree bark",,有花有果,https://image.cvh.ac.cn/files/l/PE/01634292.jpg,,,,,,,,,, +,Dendrobium lituiflorum,北京队,890467,19890429,广西壮族自治区,350,附生树干,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997758.jpg,,,,,,,,,, +长距石斛,Dendrobium longicornu,郭永杰,李涟漪,聂细转,12CS5064,20121208,云南,2235,中山湿性常绿阔叶林,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1393813.jpg,,,,,,,,,, +,Dendrobium longicornu,"Forrest, George",1091,5-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00267826.jpg,,,,,,,,,, +长距石斛,Dendrobium longicornu,G.Forrest,9124,19120000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0626403.jpg,,,,,,,,,, +,Dendrobium macraei,,,,,,,,,,,,,,,,,,, +,Dendrobium macrostachyum,,,,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0626406.jpg,,,,,,,,,, +,Dendrobium mannii,,,,,,,,,,,,,,,,,,, +细茎石斛,Dendrobium moniliforme,余丽莹、彭玉德、胡雪阳,451031140412007LY,20140412,广西,,灌丛,林缘,石灰土,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0191766.jpg,,,,,,,,,, +细茎石斛,Dendrobium moniliforme,李耀亭,s.n.,20110622,安徽省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089690.jpg,,,,,,,,,, +细茎石斛,Dendrobium moniliforme,HK kadoorie PT,3416,20020428,云南省,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097624.jpg,,,,,,,,,, +藏南石斛,Dendrobium monticola,"李渤生,李辉",13178,19900828,西藏自治区,2200,林间岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01507015.jpg,,,,,,,,,, +藏南石斛,Dendrobium monticola,刘演、许为斌,194,20060915,广西壮族自治区,750,石灰岩山坡阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00223321.jpg,,,,,,,,,, +藏南石斛,Dendrobium monticola,朱鑫鑫;王君;王美华;林庶;许敏;多吉;尼玛顿珠,ZXX201405,20200801,西藏,2573,岩壁上,附生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508689.jpg,,,,,,,,,, +,Dendrobium moschatum,马国祥,41,19910528,云南省,,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00851443.jpg,,,,,,,,,, +,Dendrobium nareshbahadurii,,,,,,,,,,,,,,,,,,, +石斛,Dendrobium nobile,张永田,s.n.,19840516,福建省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/005812.jpg,,,,,,,,,, +石斛,Dendrobium nobile,"明兴加,李博然",SH0830080,20150830,贵州省,408,开放式栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228626.jpg,,,,,,,,,, +石斛,Dendrobium nobile,红水河植物考察队,460,19890510,广西壮族自治区,800,山地,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997743.jpg,,,,,,,,,, +,Dendrobium numaldeorii,,,,,,,,,,,,,,,,,,, +,Dendrobium palpebrae,马宜中,139,19840705,云南省,,沟旁树上附生树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00850250.jpg,,,,,,,,,, +,Dendrobium parciflorum,马宜中,142,19840724,云南省,,附生在罗汉松树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00850313.jpg,,,,,,,,,, +紫瓣石斛,Dendrobium parishii,陈伯毅,王金英,WJY0567,20190522,福建,43~201.3,栽植,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0009278.jpg,,,,,,,,,, +,Dendrobium pendulum,金效华,8064,20060305,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825154.jpg,,,,,,,,,, +,Dendrobium pendulum,金效华,8064,20060305,云南,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825154.jpg,,,,,,,,,, +,Dendrobium polyanthum,,,,,,,,,,,,,,,,,,, +单葶草石斛,Dendrobium porphyrochilum,李剑武,3421,20130703,云南,1900,常绿阔叶林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028469.jpg,,,,,,,,,, +草葶草石斛,Dendrobium porphyrochilum,覃海宁等,3323,20020424,广西壮族自治区,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01594259.jpg,,,,,,,,,, +草葶草石斛,Dendrobium porphyrochilum,George Forrest,26757,19250600,云南省,2600,On trees and rocks in forest on the hills,,有花无果,https://image.cvh.ac.cn/files/l/PE/00293969.jpg,,,,,,,,,, +,Dendrobium praecinctum,,,,,,,,,,,,,,,,,,, +,Dendrobium pulchellum,,,,,,,,,,,,,,,,,,, +,Dendrobium ruckeri,李剑武,5035,20171218,西藏,2100,河边多苔藓的岩石上,附生植物,有花无果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030911.jpg,,,,,,,,,, +竹枝石斛,Dendrobium salaccense,"吉占和,孟文江",33,19781100,海南省,1000,山坡林中,树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00293995.jpg,,,,,,,,,, +竹枝石斛,Dendrobium salaccense,HK kadoorie PT,770,20010600,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01997741.jpg,,,,,,,,,, +竹枝石斛,Dendrobium salaccense,"李渤生,程树志,倪志诚",3755,19830524,西藏自治区,1700,常绿阔叶林树上常见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00293997.jpg,,,,,,,,,, +,Dendrobium sessanicum,,,,,,,,,,,,,,,,,,, +,Dendrobium spatella,,,,,,,,,,,,,,,,,,, +梳唇石斛,Dendrobium strongylanthum,"吉占和,孟文江",15,19810724,海南省,1000,林中,附生树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00338041.jpg,,,,,,,,,, +梳唇石斛,Dendrobium strongylanthum,邬文祥,,,江苏省,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585599.jpg,,,,,,,,,, +梳唇石斛,Dendrobium strongylanthum,金效华,564,20000607,贵州省,1220,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820831.jpg,,,,,,,,,, +叉唇石斛,Dendrobium stuposum,Tsi Zhanhuo,92-356,19920605,云南省,1700,on the tree in forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01594247.jpg,,,,,,,,,, +叉唇石斛,Dendrobium stuposum,"李渤生,李辉",14110,19901009,西藏自治区,2200,常绿阔叶林下树上偶见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01507021.jpg,,,,,,,,,, +,Dendrobium subansiriense,,,,,,,,,,,,,,,,,,, +,Dendrobium sulcatum,吉占和,92-366,19920613,云南省,900,林中,树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00851331.jpg,,,,,,,,,, +具槽石斛,Dendrobium sulcatum,吕清华,3336,19630500,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00145465.jpg,,,,,,,,,, +具槽石斛,Dendrobium sulcatum,李剑武,3196,20130609,云南,800,沟谷林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028381.jpg,,,,,,,,,, +刀叶石斛,Dendrobium terminale,王启无,80346,19361100,云南省,1080,Woods on mt.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00338006.jpg,,,,,,,,,, +刀叶石斛,Dendrobium terminale,王启无,80706,19360000,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0626495.jpg,,,,,,,,,, +刀叶石斛,Dendrobium terminale,叶金科等,YNS0405,20081217,云南,1109,公路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393824.jpg,,,,,,,,,, +球花石斛,Dendrobium thyrsiflorum,邬文祥,8725,19890624,江苏省,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585600.jpg,,,,,,,,,, +,Dendrobium thyrsiflorum,"Forrest, George",18051,19-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00123296.jpg,,,,,,,,,, +球花石斛,Dendrobium thyrsiflorum,李剑武,3983,20140401,云南,850,,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028686.jpg,,,,,,,,,, +紫婉石斛,Dendrobium transparens,江城县普查队,5308260568,20121102,云南省,1042,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0025015.jpg,,,,,,,,,, +,Dendrobium vexabile,,,,,,,,,,,,,,,,,,, +,Dendrobium wardianum,"Forrest, George",7771,12-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00123299.jpg,,,,,,,,,, +大苞鞘石斛,Dendrobium wardianum,王启无,72726,19360300,云南省 ,0~1450,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0626499.jpg,,,,,,,,,, +大苞鞘石斛,Dendrobium wardianum,金效华,8094,20060323,云南省,1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825155.jpg,,,,,,,,,, +,Dendrobium × vexabile,,,,,,,,,,,,,,,,,,, +福贡龙竹,Dendrocalamus fugongensis,薛纪如,864,19741210,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644597.jpg,,,,,,,,,, +福贡龙竹,Dendrocalamus fugongensis,王四海,唐春云,余奇,Wangsh-07ZX-057,20131111,云南,1196,农地边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1438344.jpg,,,,,,,,,, +龙竹,Dendrocalamus giganteus,黄大勇,XZYGX017,20171114,广西,110,山坡林地,竹类,无花无果,https://image.cvh.ac.cn/files/l/KUN/1564527.jpg,,,,,,,,,, +龙竹,Dendrocalamus giganteus,黄志,34157,13300922,海南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00117431.jpg,,,,,,,,,, +龙竹,Dendrocalamus giganteus,J.F.ROCK,2940,1922/3/3,云南; YUNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00010309.jpg,,,,,,,,,, +版纳甜竹,Dendrocalamus hamiltonii,,1187,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/070481.jpg,,,,,,,,,, +版纳甜龙竹,Dendrocalamus hamiltonii,,74392,19741003,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01645180.jpg,,,,,,,,,, +版纳甜龙竹,Dendrocalamus hamiltonii,张玉霄,许宇星,周梦媛,12164,20120813,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1234259.jpg,,,,,,,,,, +,Dendrocalamus hookeri,戴启惠,75-19,19750905,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01512237.jpg,,,,,,,,,, +,Dendrocalamus sahnii,,,,,,,,,,,,,,,,,,, +锡金龙竹,Dendrocalamus sikkimensis,李德铢等,85272,19851029,云南省,410,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01855616.jpg,,,,,,,,,, +锡金龙竹,Dendrocalamus sikkimensis,F.A.McClure,21555,19460528,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01512275.jpg,,,,,,,,,, +突节龙竹,Dendrocalamus sikkimensis,徐勇,C130117,20180628,云南,570,"C13,引种号:00,1979,0126",乔木状,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026001.jpg,,,,,,,,,, +牡竹,Dendrocalamus strictus,郭惠珠,郭艺松,陈锦祥,3350,20130314,福建,,栽培定植,,无花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0002647.jpg,,,,,,,,,, +牡竹,Dendrocalamus strictus,黎原,8,19650322,,,多栽培于小山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01644639.jpg,,,,,,,,,, +牡竹,Dendrocalamus strictus,朱华,Ch 1058,,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00012158.jpg,,,,,,,,,, +西藏龙竹,Dendrocalamus tibeticus,"李渤生,程树志",2731,19830204,西藏自治区,1100~850,半常绿雨林中常见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644564.jpg,,,,,,,,,, +,Dendrolirium ferrugineum,,,,,,,,,,,,,,,,,,, +,Dendrolirium kamlangensis,,,,,,,,,,,,,,,,,,, +,Dendrolirium lasiopetalum,,,,,,,,,,,,,,,,,,, +绒兰,Dendrolirium tomentosum,黄子韬、王彦霖,LT002,20191217,云南,747,热带季节性雨林,附生植物,无花有果,https://image.cvh.ac.cn/files/l/KUN/1509882.jpg,,,,,,,,,, +,Dendrolycopodium obscurum,,,,,,,,,,,,,,,,,,, +,Dendrolycopodium verticale,,,,,,,,,,,,,,,,,,, +顶生碗蕨,Dennstaedtia appendiculata,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07214,20160911,西藏,3199,针叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137094.jpg,,,,,,,,,, +顶生碗蕨,Dennstaedtia appendiculata,贺贤育,6423,19350828,四川省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00145366.jpg,,,,,,,,,, +顶生碗蕨,Dennstaedtia appendiculata,刘正宇,4159,19830603,重庆市,1600,常绿阔叶林下?,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00000147.jpg,,,,,,,,,, +细毛碗蕨,Dennstaedtia hirsuta,赵万义、刘忠成、许可旺、张信坚、张记军、杨平、叶矾,Lxp-13-22402,2016/10/31,湖南,,山坡、壤土、灌丛,陆生、草本、直立,无孢子囊,https://image.cvh.ac.cn/files/l/SYS/SYS00202086.jpg,,,,,,,,,, +,Dennstaedtia hirsuta,"秦林川,祁世鑫",1462,20080723,湖南省,970,路边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01914490.jpg,,,,,,,,,, +细毛碗蕨,Dennstaedtia hirsuta,金摄郎、商辉,SG2671,20150813,黑龙江省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0096867.jpg,,,,,,,,,, +碗蕨,Dennstaedtia scabra,Shiu Ying Hu,9806,19700403,香港,,on rock,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00453354.jpg,,,,,,,,,, +碗蕨,Dennstaedtia scabra,,s.n.,19580905,福建省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01594734.jpg,,,,,,,,,, +碗蕨,Dennstaedtia scabra,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07356,20160914,西藏,1587,疏林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136076.jpg,,,,,,,,,, +尖片对囊蕨,Deparia acuta,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07202,20160910,西藏,3864,针叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137053.jpg,,,,,,,,,, +,Deparia acuta var. bagaensis,,,,,,,,,,,,,,,,,,, +对囊蕨,Deparia boryana,韦宏金,JSL7607,20200305,广西,~429,山冲芭蕉林或阔叶林下;土生;常见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431533.jpg,,,,,,,,,, +,Deparia boryana,M.Kato,11103,20111110,,1230,wet steep slope near waterfalls,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02109261.jpg,,,,,,,,,, +对囊蕨,Deparia boryana,周喜乐,严岳鸿,王莹,张九兵,ZXL07184,20151021,云南省,1798,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0115197.jpg,,,,,,,,,, +,Deparia dickasonii,"张宪春,郭治友,税玉民等",8534,20170412,云南省,1320,岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234093.jpg,,,,,,,,,, +斜生对囊蕨,Deparia dickasonii,金摄郎、张九兵,JSL-WLSQ 300,20131103,湖南省,713,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0016749.jpg,,,,,,,,,, +斜生对囊蕨,Deparia dickasonii,韦宏金,JSL6826,20190328,云南,~1615,土生,草本,无孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431447.jpg,,,,,,,,,, +,Deparia heterophlebia,"Jin XH,Wang LS,Wang Q etc.",ST0932,20130724,云南省,1400~1500,mountain slope shade,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02032793.jpg,,,,,,,,,, +,Deparia japonica,江西大学生物系植物标本室,60065,19640630,江西省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0262103.jpg,,,,,,,,,, +东洋对囊蕨,Deparia japonica,周喜乐、刘子玥、刘以诚、李春香、李中阳,ZXL06738,20160729,江西,947,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136961.jpg,,,,,,,,,, +,Deparia japonica,应俊生等,422,19910730,陕西省,1000,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0483583.jpg,,,,,,,,,, +,Deparia lancea,,120,19560427,四川省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0254088.jpg,,,,,,,,,, +,Deparia lancea,湖南师范学院生物系植物标本室,16514,19631025,湖南省,345,山谷石上水旁,,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0258557.jpg,,,,,,,,,, +单叶对囊蕨,Deparia lancea,金摄郎、魏宏宇、张娇,JSL6044,20170907,浙江,298.5,河谷边疏林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0153007.jpg,,,,,,,,,, +狭叶对囊蕨,Deparia longipes,金摄郎、周喜乐,JSL4682,20161120,贵州,1165,坡面松林下,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137383.jpg,,,,,,,,,, +墨脱娥眉蕨,Deparia medogensis,PE西藏队,PE6036,20170906,西藏自治区,2935,山谷林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01891884.jpg,,,,,,,,,, +墨脱对囊蕨,Deparia medogensis,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4381,20160911,西藏,2925,针叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136577.jpg,,,,,,,,,, +毛轴假蹄盖蕨,Deparia petersenii,曾宪锋,ZXF44811,20190216,广东,235,山谷中,多年生草本,有孢子囊群,https://image.cvh.ac.cn/files/l/CZH/CZH0032367.jpg,,,,,,,,,, +,Deparia petersenii,"朱鑫鑫, 王金丹, 林庶, 刘晴, 梁俊生",ZXX18386,20180922,河南,702,亚热带常绿阔叶林林中路边,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1450293.jpg,,,,,,,,,, +毛叶对囊蕨,Deparia petersenii,周喜乐、刘子玥、刘以诚、李春香、李中阳,ZXL06654,20160730,江西,1567,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137562.jpg,,,,,,,,,, +,Deparia sichuanensis,余奇、周晓雪、黎怀成,THP-KD-4523,20170715,四川省,3379,折多塘村,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252732.jpg,,,,,,,,,, +,Deparia sichuanensis,余奇、周晓雪、黎怀成,THP-KD-4523,20170715,四川,3379,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252731.jpg,,,,,,,,,, +,Deparia sikkimensis,,,,,,,,,,,,,,,,,,, +峨山对囊蕨,Deparia wilsonii,T.P.Wang,8893,19380820,四川省,1600,in valley,herb,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0094434.jpg,,,,,,,,,, +,Deparia wilsonii,彭玉兰、郑臣臣、张君议,THP-KD-3583,20170718,四川,3507,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252729.jpg,,,,,,,,,, +,Deparia wilsonii var. muliensis,,,,,,,,,,,,,,,,,,, +发草,Deschampsia cespitosa,赵魁义,480,19810724,云南,3100,河滩沼泽,草本,无花有果,https://image.cvh.ac.cn/files/l/IGA/IGA0016893.jpg,,,,,,,,,, +发草,Deschampsia cespitosa,张昌兵,向丽,ZhangCB0179,20080913,四川,3600,亚高山针叶林林间草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400911.jpg,,,,,,,,,, +,Deschampsia cespitosa,"黄建益,刘建华,叶大玮,赵淑枝",2654,20060731,台湾省,3410,"On scree slope,exposed,abundant",,有花无果,https://image.cvh.ac.cn/files/l/PE/02089747.jpg,,,,,,,,,, +短枝发草,Deschampsia cespitosa subsp. ivanovae,北师大秦岭队,TB314,20130624,陕西省,3300,山坡,草,,https://image.cvh.ac.cn/files/l/BNU/0014708.jpg,,,,,,,,,, +穗发草,Deschampsia koelerioides,PCCZ,329,19980820,新疆维吾尔自治区 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/183162.jpg,,,,,,,,,, +穗发草,Deschampsia koelerioides,吴征镒,4310,19760808,云南省,4300,草甸,,有花无果,https://image.cvh.ac.cn/files/l/KUN/384599.jpg,,,,,,,,,, +穗发草,Deschampsia koelerioides,,,,甘肃省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/019109391.jpg,,,,,,,,,, +滨发草,Deschampsia littoralis,胡叔良等,61,19560804,甘肃省,2935,山谷 阴坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01827152.jpg,,,,,,,,,, +,Deschampsia littoralis,"李新辉, 杨涛, 温昌润",Lixh52,20170912,四川,4056,高山灌丛草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1457406.jpg,,,,,,,,,, +滨发草,Deschampsia littoralis,T.N.Liou,2906,19380629,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00038783.jpg,,,,,,,,,, +藏北扇叶芥,Desideria baiogoinensis,陶德定,10819,19760805,西藏自治区,4700~4900,高山河漫滩,公路边,沙堆中,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0497549.jpg,,,,,,,,,, +丛生扇叶芥,Desideria prolifera,青藏队,1253,19730825,西藏自治区,5100,山坡流石滩,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0497553.jpg,,,,,,,,,, +丛生扇叶芥,Desideria prolifera,玛沁队,470,19740802,青海省,4750,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/42005.jpg,,,,,,,,,, +丛生扇叶芥,Desideria prolifera,张挺、郭永杰、姜虹,16CS13657,20160830,四川,4476,岩石上,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1481014.jpg,,,,,,,,,, +,Desmos chinensis,C.C.Liang,1134,19360708,广州(Canton),,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0001270.jpg,,,,,,,,,, +假鹰爪,Desmos chinensis,"唐国旺, 黄宏龙",TuTY5018,20181115,广东,3117,小路旁,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486206.jpg,,,,,,,,,, +假鹰爪,Desmos chinensis,海南工作队 ,991,19550000,海南省,,在坑,,有花无果,https://image.cvh.ac.cn/files/l/PE/01186299.jpg,,,,,,,,,, +,Deutzia bomiensis,,,,,,,,,,,,,,,,,,, +,Deutzia crassidentata,,,,,,,,,,,,,,,,,,, +,Deutzia glaucophylla,,,,,,,,,,,,,,,,,,, +,Deutzia heterophylla,,,,,,,,,,,,,,,,,,, +,Deutzia monbeigii,,,,,,,,,,,,,,,,,,, +,Deutzia muliensis,,,,,,,,,,,,,,,,,,, +,Deutzia obtusilobata,,,,,,,,,,,,,,,,,,, +,Deutzia subulata,,,,,,,,,,,,,,,,,,, +,Deutzia yunnanensis,,,,,,,,,,,,,,,,,,, +,Deutzia zhongdianensis,,,,,,,,,,,,,,,,,,, +密穗野青茅,Deyeuxia conferta,侯元同,郭成勇,侯元免,20180621436-1,20180622,河南,60,草地荒滩,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0045847.jpg,,,,,,,,,, +密穗野青茅,Deyeuxia conferta,赵佐成,88-1942,19880818,重庆市,1800,山坡 路边 湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01321163.jpg,,,,,,,,,, +密穗野青茅,Deyeuxia conferta,刘坤,LiuJQ-GN-2011-342,20111013,甘肃,3525,沼泽化草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400941.jpg,,,,,,,,,, +,Deyeuxia debilis,生态室高原组,1162,19821008,西藏自治区,4000~4200,高山 草甸种偶见种,,有花有果,https://image.cvh.ac.cn/files/l/PE/01727038.jpg,,,,,,,,,, +,Deyeuxia debilis,青藏队,8732,19820726,云南省,3400~3600,山坡 灌丛 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01727030.jpg,,,,,,,,,, +柔弱野青茅,Deyeuxia flaccida,资源室,711,19790912,贵州,,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/FGC/FGC0001638.jpg,,,,,,,,,, +柔弱野青茅,Deyeuxia flaccida,李小杰,CSH06140,20140814,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0036445.jpg,,,,,,,,,, +柔弱野青茅,Deyeuxia flaccida,李小杰,LiXJ255,20121113,四川,487,路边荒地,草本,,https://image.cvh.ac.cn/files/l/KUN/1400946.jpg,,,,,,,,,, +黄花野青茅,Deyeuxia flavens,青藏科考队,12653,19760808,西藏自治区,3900~4000,云杉林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01727328.jpg,,,,,,,,,, +黄花野青茅,Deyeuxia flavens,刘玉红等,8,19880718,重庆市,1875,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01727325.jpg,,,,,,,,,, +黄花野青茅,Deyeuxia flavens,杨永昌,1327,19820000,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01727330.jpg,,,,,,,,,, +喜马拉雅野青茅,Deyeuxia himalaica,,11014,19750816,四川省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01727288.jpg,,,,,,,,,, +喜马拉雅野青茅,Deyeuxia himalaica,王为义等,26884,19830729,青海省,3450,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/180659.jpg,,,,,,,,,, +喜马拉雅野青茅,Deyeuxia himalaica,刘恩德,5822,20020819,云南省,3200,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/KUN/796928.jpg,,,,,,,,,, +青藏野青茅,Deyeuxia holciformis,钟补求,7396,19530811,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01726838.jpg,,,,,,,,,, +青藏野青茅,Deyeuxia holciformis,陶德定,10673,19760729,西藏自治区,,沙,砾草地,沙堆上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01726840.jpg,,,,,,,,,, +青藏野青茅,Deyeuxia holciformis,李渤生等,11260,19870824,新疆维吾尔自治区,4100,河滩草甸中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929354.jpg,,,,,,,,,, +青海野青茅,Deyeuxia kokonorica,刘坤,LiuJQ-GN-2011-335,20111004,甘肃,3690,高寒草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400947.jpg,,,,,,,,,, +青海野青茅,Deyeuxia kokonorica,武宝成,83-421,19840622,西藏,,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/FGC/FGC0001668.jpg,,,,,,,,,, +青海野青茅,Deyeuxia kokonorica,刘坤,LiuJQ-GN-335,20111004,甘肃省,0~3690,高寒草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0281858.jpg,,,,,,,,,, +会理野青茅,Deyeuxia mazzettii,刘艳春,LYC675,20110920,湖南,981,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0024510.jpg,,,,,,,,,, +,Deyeuxia mazzettii,胡君、王东超、李丽、刘晓芬、李永龙、唐璐、思亮、刘方方,SC-a-053-B43,20180725,四川,2824,高山栎群落中,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273559.jpg,,,,,,,,,, +,Deyeuxia mazzettii,刘艳春,522,20101017,云南省,3210,on slope,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221467.jpg,,,,,,,,,, +宝兴野青茅,Deyeuxia moupinensis,,8794,19750819,四川省,2600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01854497.jpg,,,,,,,,,, +宝兴野青茅,Deyeuxia moupinensis,鞠文彬,陈德奎,AZH00488,20151005,四川,1728,公路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0236458.jpg,,,,,,,,,, +宝兴野青茅,Deyeuxia moupinensis,青藏队,10242,19820909,西藏自治区,3900~4100,山边 草边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01727028.jpg,,,,,,,,,, +顶芒野青茅,Deyeuxia nepalensis,张昌兵,邓秀发,ZhangCB0373,20110922,四川,3427,撂荒地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400949.jpg,,,,,,,,,, +顶芒野青茅,Deyeuxia nepalensis,王启无,67258,193510,云南省,2500,"Grassy slope,Ravine",,有果无花,https://image.cvh.ac.cn/files/l/KUN/321943.jpg,,,,,,,,,, +微药野青茅,Deyeuxia nivicola,王启无,68498,1935,云南省,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/321944.jpg,,,,,,,,,, +微药野青茅,Deyeuxia nivicola,青藏队,10691,19820926,西藏自治区,4300,山坡 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01726832.jpg,,,,,,,,,, +微药野青茅,Deyeuxia nivicola,鞠文彬,郑臣臣,THP-KD-6496,20170818,四川,3629,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251193.jpg,,,,,,,,,, +林芝野青茅,Deyeuxia nyingchiensis,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2822,20090928,西藏,4020,高山草坡,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1436821.jpg,,,,,,,,,, +林芝野青茅,Deyeuxia nyingchiensis,高云东,黎怀成,THP-KD-4738,20170811,四川,3400~3700,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254937.jpg,,,,,,,,,, +林芝野青茅,Deyeuxia nyingchiensis,王启无,66498,193509,四川省,3500,Bare Rocks,,有果无花,https://image.cvh.ac.cn/files/l/KUN/321936.jpg,,,,,,,,,, +小丽茅,Deyeuxia pulchella,青藏队植被组,3281,19740917,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075444.jpg,,,,,,,,,, +小丽茅,Deyeuxia pulchella,王启无,59573,19350000,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00518393.jpg,,,,,,,,,, +小丽茅,Deyeuxia pulchella,"郭柯,郑度",12820,19900905,新疆维吾尔自治区,4600,冰碛物上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048101.jpg,,,,,,,,,, +,Deyeuxia purpurea,傅沛云等,1183,19590826,吉林省,,高山草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854451.jpg,,,,,,,,,, +,Deyeuxia purpurea,李桂全,唐忠平,962,20020825,四川,2050,路边沿坡,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0197665.jpg,,,,,,,,,, +,Deyeuxia purpurea,王启无,60615,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854469.jpg,,,,,,,,,, +,Deyeuxia pyramidalis,巴山采集队,3581,20100725,四川省,591,林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066146.jpg,,,,,,,,,, +,Deyeuxia pyramidalis,云台山采集队,89,20080921,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022974.jpg,,,,,,,,,, +野青茅,Deyeuxia pyramidalis,张代贵、王业清、朱晓琴,2697,20170822,湖北宜昌,2030,路边灌丛,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE09603.jpg,,,,,,,,,, +玫红野青茅,Deyeuxia rosea,傅国勋,848,19600717,西藏自治区,3900,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01727354.jpg,,,,,,,,,, +玫红野青茅,Deyeuxia rosea,,75-1979,19750918,,4500,高山灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487366.jpg,,,,,,,,,, +玫红野青茅,Deyeuxia rosea,川大,23769,19570815,四川省,4200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01727353.jpg,,,,,,,,,, +糙野青茅,Deyeuxia scabrescens,秦岭调查队,961,1956/7/31,山西,2500,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0093120.jpg,,,,,,,,,, +糙野青茅,Deyeuxia scabrescens,彭玉兰,涂卫国,GaoXF-0956,20080903,四川,3860,高山灌木丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400976.jpg,,,,,,,,,, +糙野青茅,Deyeuxia scabrescens,黔南队,3577,19590825,贵州省,,山坡密林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01557844.jpg,,,,,,,,,, +,Deyeuxia sichuanensis,,9416,19750716,四川省,3050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01726730.jpg,,,,,,,,,, +,Deyeuxia sichuanensis,"R.J.Soreng,P.M.Peterson & Sun Hang",5659,19971014,西藏自治区,3500,lower canyon slopes,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487533.jpg,,,,,,,,,, +,Deyeuxia sorengii,,,,,,,,,,,,,,,,,,, +矮野青茅,Deyeuxia tibetica,"郭柯,郑度",12821,19900905,新疆维吾尔自治区,4600,冰碛物上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01469062.jpg,,,,,,,,,, +矮野青茅,Deyeuxia tibetica,成瑞瑜、蔡竞、秦换换,CRY-AA-19-025,20210601,四川,1392.2m,林地,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02064785.jpg,,,,,,,,,, +藏野青茅,Deyeuxia tibetica,生物研究所西藏考察队,3395,19740705,新疆维吾尔自治区 ,3750,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/187695.jpg,,,,,,,,,, +矮野青茅,Deyeuxia tibetica var. przevalskyi,青藏队 吴玉虎,2208,19880813,新疆维吾尔自治区 ,4800,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/148600.jpg,,,,,,,,,, +矮野青茅,Deyeuxia tibetica var. przevalskyi,李晖,文雪梅,次旺加布,李发平,Lihui-Q-0032,20080828,西藏,4474,亚高山草甸河滩冲积地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1400989.jpg,,,,,,,,,, +矮野青茅,Deyeuxia tibetica var. przevalskyi,张盍曾,1045,19630722,青海省,4000,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0212456.jpg,,,,,,,,,, +,Deyeuxia yanyuanensis,田,108,19810915,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00487403.jpg,,,,,,,,,, +藏西野青茅,Deyeuxia zangxiensis,钟补求,7391,19530810,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01726839.jpg,,,,,,,,,, +藏西野青茅,Deyeuxia zangxiensis,刘尚武,483,19650821,青海省,3850,河滩砂地,草本,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00013050.jpg,,,,,,,,,, +藏西野青茅,Deyeuxia zangxiensis,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201561,20200807,西藏,4166,湿地边,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1508418.jpg,,,,,,,,,, +山菅,Dianella ensifolia,武素功,蔡杰,殷根深,唐颖,Kimsrim Seap,SC0123,20101114,Koh Kong,238,Open boggy land in the forest,Erect herb,,https://image.cvh.ac.cn/files/l/KUN/1391728.jpg,,,,,,,,,, +山菅,Dianella ensifolia,C.L.Tso,20219,,香港; HONG KONG,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00020897.jpg,,,,,,,,,, +山菅,Dianella ensifolia,刘莹李静,4,2002-10-,广东; Guangdong,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00097426.jpg,,,,,,,,,, +,Diapensia wardii,,,,,,,,,,,,,,,,,,, +,Dichroa yunnanensis,,,,,,,,,,,,,,,,,,, +优雅狗肝菜,Dicliptera elegans,,7579,19150810,云南省 ,0~2000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0558852.jpg,,,,,,,,,, +优雅狗肝菜,Dicliptera elegans,,26941,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0559256.jpg,,,,,,,,,, +优雅狗肝菜,Dicliptera elegans,丁晵后,60-40,19600828,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0006912.jpg,,,,,,,,,, +大芒萁,Dicranopteris ampla,罗城县普查队,451225130430019LY,20130430,广西,297,阔叶林,林缘,路旁,黄棕壤,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMG/GXMG0113850.jpg,,,,,,,,,, +大芒萁,Dicranopteris ampla,周喜乐、严岳鸿、杜诚,ZXL09861,20141123,清迈府,1305,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0110267.jpg,,,,,,,,,, +大芒萁,Dicranopteris ampla,徐永椿,501,19505109,云南省,1400,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01863716.jpg,,,,,,,,,, +铁芒萁,Dicranopteris linearis,俞德浚,20536,19380930,云南省 ,1300,Margin of thickets on open place,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/0804054.jpg,,,,,,,,,, +铁芒萁,Dicranopteris linearis,李学根,201352,19580518,广东,1100,山地 平地 山顶 坡向东 肥土,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSFI/CSFI067882.jpg,,,,,,,,,, +铁芒萁,Dicranopteris linearis,"K. Yamaoka, A. Sakamoto, H. Fukuhara et al.",FOK-062226,20031019,高知县,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0115779.jpg,,,,,,,,,, +大羽芒萁,Dicranopteris splendida,刘娟,830706003,19830706,重庆,,疏林下,,有孢子囊,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0003067.jpg,,,,,,,,,, +大羽芒萁,Dicranopteris splendida,C.W.Wang,67356,19351000,云南省,2800,Under forest,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00234695.jpg,,,,,,,,,, +大羽芒萁,Dicranopteris splendida,"张寿洲,李良千等",1186,20050507,广东省,700~800,,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01808524.jpg,,,,,,,,,, +,Dicranostigma platycarpum,"陈又生,张树仁,于胜祥等",42,20111012,西藏自治区,3713,沙砾坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000489.jpg,,,,,,,,,, +,Dicranostigma platycarpum,孙航,李新辉,陈林杨等,SunH-07ZX-3289,20100602,四川,1377,坡地灌丛,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1234462.jpg,,,,,,,,,, +宽果秃疮花,Dicranostigma platycarpum,生物所,9298,1975-07-,四川省,3600,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0131985.jpg,,,,,,,,,, +,Didymocarpus medogensis,,,,,,,,,,,,,,,,,,, +,Didymocarpus zhufengensis,,,,,,,,,,,,,,,,,,, +单叶假脉蕨,Didymoglossum sublimbatum,金摄郎,JSL6229,20180223,广西,350,沟谷边荫蔽岩壁上,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0157656.jpg,,,,,,,,,, +双唇兰,Didymoplexis pallens,X.H.Jin,8914,20070304,海南省,1200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01855730.jpg,,,,,,,,,, +双唇兰,Didymoplexis pallens,,8275,19300000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01634428.jpg,,,,,,,,,, +,Dienia cylindrostachya,,,,,,,,,,,,,,,,,,, +,Dienia ophrydis,李剑武,1996,20120910,云南,600,竹林下,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027935.jpg,,,,,,,,,, +无耳沼兰,Dienia ophrydis,马仲辉、徐含锋、王文乔、谢智、蓝高跃、沈慕洁,450802190503014LY,20190503,广西,265,,草本,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0213166.jpg,,,,,,,,,, +粒状马唐,Digitaria abludens,钟济新,175911,19530509,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01790508.jpg,,,,,,,,,, +粒状马唐,Digitaria abludens,河南省林业厅,643,19560903,河南省,,山谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/00468545.jpg,,,,,,,,,, +粒状马唐,Digitaria abludens,谭策铭,94838,19940828,江西省,40,河边沙地,草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00057853.jpg,,,,,,,,,, +纤毛马唐,Digitaria ciliaris,"彭华, 向春雷, 陈丽",PengH8133,20081110,广西,753,原生林,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1457580.jpg,,,,,,,,,, +,Digitaria ciliaris,刘铁志,219,19930825,内蒙古,,路边,一年生草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00603908.jpg,,,,,,,,,, +纤毛马唐,Digitaria ciliaris,李盛兰,GanQL995,20170921,湖北,405,河滩草丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1455016.jpg,,,,,,,,,, +十字马唐,Digitaria cruciata,侯元同,侯元免,李爱民,孙卫卫,20170616087-1,20170616,湖北,510.8,山坡路边,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0047117.jpg,,,,,,,,,, +十字马唐,Digitaria cruciata,范家瑞,45,19790815,吉林省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/070225.jpg,,,,,,,,,, +十字马唐,Digitaria cruciata,胡光万,HGW-00281,20080826,云南,214,丘陵,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1401040.jpg,,,,,,,,,, +止血马唐,Digitaria ischaemum,刘正宇、张军等,S-3483,20170928,重庆,735.55,,,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051083.jpg,,,,,,,,,, +止血马唐,Digitaria ischaemum,复旦,10337,19571031,浙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00469062.jpg,,,,,,,,,, +止血马唐,Digitaria ischaemum,陈全胜,CF-0010-283,20170827,内蒙古自治区,1074,河滩草甸,平坦开阔,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246900.jpg,,,,,,,,,, +长花马唐,Digitaria longiflora,农田杂草调查组,51,19700520,海南省,,花生 玉米地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01606162.jpg,,,,,,,,,, +长花马唐,Digitaria longiflora,S.T.Blake,19663,19540717,,,stream bank on sand,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039037.jpg,,,,,,,,,, +长花马唐,Digitaria longiflora,"覃海宁,王印政,闫丽春等",719,19980416,广西壮族自治区,500,山地、河边,水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981215.jpg,,,,,,,,,, +马唐,Digitaria sanguinalis,Lei C.I.,18,1932/9/9,海南; HAINAN,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00013173.jpg,,,,,,,,,, +马唐,Digitaria sanguinalis,曾宪锋,ZXF34753,20171115,福建,35,丘陵、路旁,一年生披散草本,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0030035.jpg,,,,,,,,,, +马唐,Digitaria sanguinalis,秦岭队,856,19590901,陕西省,1510,山顶 阳处 岩石 路旁 野生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01571974.jpg,,,,,,,,,, +海南马唐,Digitaria setigera,张肇骞,10148,19571017,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00178041.jpg,,,,,,,,,, +海南马唐,Digitaria setigera,梁慧舟,1488,19990919,台湾省,200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855653.jpg,,,,,,,,,, +海南马唐,Digitaria setigera,周联选、黄向旭、李盛春,12447,20140906,海南省,0,海边、沙地,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0771000.jpg,,,,,,,,,, +露籽马唐,Digitaria stricta var. denudata,刘艳春,794,20111018,贵州,609,山坡草丛,草本,,https://image.cvh.ac.cn/files/l/KUN/1399611.jpg,,,,,,,,,, +露籽马唐,Digitaria stricta var. denudata,刘艳春,LYC794,20111018,贵州省,609,山坡,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0025800.jpg,,,,,,,,,, +露籽马唐,Digitaria stricta var. denudata,鞠文彬,李诗琦,代文台,邓璇,CIBJWB004B006,20180816,四川,1293,,一年生植物,无花有果,https://image.cvh.ac.cn/files/l/KUN/1502294.jpg,,,,,,,,,, +紫马唐,Digitaria violascens,"Hu ,But",22483,19930709,香港特别行政区,,pioneer species on a planted lawn,,,https://image.cvh.ac.cn/files/l/KUN/1293278.jpg,,,,,,,,,, +紫马唐,Digitaria violascens,陈汉斌 梁玉堂,31,19790907,山东省,,,,,https://image.cvh.ac.cn/files/l/NAS/NAS00518788.jpg,,,,,,,,,, +紫马唐,Digitaria violascens,彭泽祥,5980,19650827,甘肃省,1320~1500,路边公路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00469207.jpg,,,,,,,,,, +密花兰,Diglyphosa latifolia,"Xiaohua Jin,Arief",PE-BO4062,20160808,,1500,evergreen broadleaf forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113028.jpg,,,,,,,,,, +密花兰,Diglyphosa latifolia,蔡希陶,60311,19340619,云南省,1200,in woodland,,有花无果,https://image.cvh.ac.cn/files/l/PE/00293905.jpg,,,,,,,,,, +无苞双脊荠,Dilophia ebracteata,"李渤生,杜泽泉,张百平",11421,19870905,新疆维吾尔自治区,4770,山口湿地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01344857.jpg,,,,,,,,,, +无苞双脊荠,Dilophia ebracteata,吴磊,QH0188,20130728,西藏省,4600~4700,,,,https://image.cvh.ac.cn/files/l/BNU/0023311.jpg,,,,,,,,,, +无苞双脊荠,Dilophia ebracteata,郭柯,K-162,19900730,青海省,4980,间歇性河水冲积地 河岸一级阶地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01469000.jpg,,,,,,,,,, +,Dinochloa macclellandii,,,,,,,,,,,,,,,,,,, +参薯,Dioscorea alata,李永亮等,YDDXS0980,20111201,云南,909,干热河谷杂灌木林间,草质藤本,,https://image.cvh.ac.cn/files/l/KUN/1393322.jpg,,,,,,,,,, +,Dioscorea alata,K.K.TSOONG,0,19181010,广东,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0052469.jpg,,,,,,,,,, +参薯,Dioscorea alata,赵子恩,830,19621021,湖北,600,山北坡落叶阔叶针叶混交林中,,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0162969.jpg,,,,,,,,,, +蜀葵叶薯蓣,Dioscorea althaeoides,余奇、熊先华、李琳霖,THP-KD-7011,20170816,四川,2264~2266,,藤本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254997.jpg,,,,,,,,,, +蜀葵叶薯蓣,Dioscorea althaeoides,C.W.Wang,64059,1935/06/,云南,2500,,Vine,有花无果,https://image.cvh.ac.cn/files/l/WUK/0066085.jpg,,,,,,,,,, +蜀葵叶薯蓣,Dioscorea althaeoides,蔡希陶,57592,0,云南省 ,0,,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0361369.jpg,,,,,,,,,, +,Dioscorea belophylla,H.H.Haines,2846,19060900,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0629430.jpg,,,,,,,,,, +黄独,Dioscorea bulbifera,陈全,DC55,20201009,湖北,409,山坡林地,,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0205978.jpg,,,,,,,,,, +黄独,Dioscorea bulbifera,T.Miyazaki,1008013,20100817,,1,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088891.jpg,,,,,,,,,, +黄独,Dioscorea bulbifera,石国良,13711,1978/9/6,广东,,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0425834.jpg,,,,,,,,,, +薯莨,Dioscorea cirrhosa,瞿华、王基宇,165,20180626,福建,320,路边,藤本,无花有果,https://image.cvh.ac.cn/files/l/AU/AU068118.jpg,,,,,,,,,, +裡白葉薯榔,Dioscorea cirrhosa,章绍尧,5415,19590608,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00033828.jpg,,,,,,,,,, +裡白葉薯榔,Dioscorea cirrhosa,Koji Yonekura,12288,20041120,,30~40,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01719199.jpg,,,,,,,,,, +吕宋薯蓣,Dioscorea cumingii,"T.Y.A. Yang,C.H. Chu",8036,19970424,台湾,50,Beside the bridge,,,https://image.cvh.ac.cn/files/l/KUN/1285202.jpg,,,,,,,,,, +,Dioscorea cumingii,蔡希陶,61352,0,云南省 ,0,,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0361927.jpg,,,,,,,,,, +吕宋薯蓣,Dioscorea cumingii,黔南队,439,19590412,贵州省,650,山坡向北,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0361928.jpg,,,,,,,,,, +三角叶薯蓣,Dioscorea deltoidea,李、崇、刘,,19800700,江西省,,,,有花无果,https://image.cvh.ac.cn/files/l/HUFD/0004422.jpg,,,,,,,,,, +三角叶薯蓣,Dioscorea deltoidea,刘静,袁明,MY238,20071118,四川,,山脚,攀援草本,,https://image.cvh.ac.cn/files/l/KUN/1393349.jpg,,,,,,,,,, +三角叶薯蓣,Dioscorea deltoidea,黔南队,1241,19590506,贵州省,1100,山沟,藤本 ,无花无果,https://image.cvh.ac.cn/files/l/KUN/0362055.jpg,,,,,,,,,, +甘薯,Dioscorea esculenta,陈少卿,17994,19610512,海南省,0,,草质攀援,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0629935.jpg,,,,,,,,,, +甘薯,Dioscorea esculenta,橡胶考察队,598,19630629,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0629939.jpg,,,,,,,,,, +有刺甘薯,Dioscorea esculenta,蔡希陶,80128,19570401,云南省,870,村中栽培,藤本 ,无花无果,https://image.cvh.ac.cn/files/l/KUN/0362065.jpg,,,,,,,,,, +光叶薯蓣,Dioscorea glabra,中越考察队,1366,19650115,谅山,50~40,高草灌丛,藤本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0362194.jpg,,,,,,,,,, +光叶薯蓣,Dioscorea glabra,兰开敏,80-0028,19800715,贵州省,1450,潮湿地山坡灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00174144.jpg,,,,,,,,,, +光叶薯蓣,Dioscorea glabra,吴征镒等,544,19641218,,260~750,次生林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/00174181.jpg,,,,,,,,,, +,Dioscorea hamiltonii,C.I.E.,5108(a),19171000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0630011.jpg,,,,,,,,,, +,Dioscorea hamiltonii,文山组,71,19600916,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/064691.jpg,,,,,,,,,, +白薯莨粤俗,Dioscorea hispida,K.K.TSOONG,0,19190606,广东,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0052380.jpg,,,,,,,,,, +白薯莨,Dioscorea hispida,,11772,19180626,香港,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0630031.jpg,,,,,,,,,, +白薯莨,Dioscorea hispida,郭永杰,李涟漪,李昌洪,朱培凤,张亚婕,12CS5044,20120726,云南,2100,路边杂木林,草质藤本,,https://image.cvh.ac.cn/files/l/KUN/1393372.jpg,,,,,,,,,, +尖叶薯蓣,Dioscorea japonica,J. Sato,6130,19370928,辽宁省,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/15201999x0001.jpg,,,,,,,,,, +日本薯蓣,Dioscorea japonica,张代贵,80907015,20080907,湖北神农架林区,,山坡、山谷、溪沟边、路旁的杂木林下,藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU64317.jpg,,,,,,,,,, +薄葉野山藥,Dioscorea japonica,单人骅,,,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00174780.jpg,,,,,,,,,, +毛芋头薯蓣,Dioscorea kamoonensis,刘林翰,何观州,15907,1963/9/26,湖南,900,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0258430.jpg,,,,,,,,,, +毛芋头薯蓣,Dioscorea kamoonensis,李鸣冈,1478,19391212,云南省 ,0~1150,,twining herb,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0630286.jpg,,,,,,,,,, +毛芋头薯蓣,Dioscorea kamoonensis,李 鸣 冈,1326,1939/11/29,云 南,1800,,草质藤本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0276332.jpg,,,,,,,,,, +,Dioscorea laurifolia,,32920,,,300~500,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00554104.jpg,,,,,,,,,, +,Dioscorea lepcharum,,,,,,,,,,,,,,,,,,, +,Dioscorea listeri,,,,,,,,,,,,,,,,,,, +黑珠芽薯蓣,Dioscorea melanophyma,刘正宇,1124,19791004,重庆市,1000,,藤本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0014317.jpg,,,,,,,,,, +黑珠芽薯蓣,Dioscorea melanophyma,"王印政,彭华,邓德山,邓云飞,税玉民,朱大海",4208,19981018,云南省,1700,山地,山坡,石山,,无花有果,https://image.cvh.ac.cn/files/l/PE/02098833.jpg,,,,,,,,,, +黑珠芽薯蓣,Dioscorea melanophyma,刘正宇、张军等,S-3157,20170912,重庆,1021.54,林缘,藤本,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051438.jpg,,,,,,,,,, +光亮薯蓣,Dioscorea nitens,,1300,,广东省,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0630396.jpg,,,,,,,,,, +光亮薯蓣,Dioscorea nitens,,10287C,,云南省,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01026536.jpg,,,,,,,,,, +光亮薯蓣,Dioscorea nitens,刘成,李彩斌,陈永菊,杨绍贵,12CS4535,20120802,云南,2112,箐沟边,草质藤本,,https://image.cvh.ac.cn/files/l/KUN/1393402.jpg,,,,,,,,,, +光条,Dioscorea oppositifolia,中美联合鄂西植物考察队,802,19800908,湖北省,1150,twining vine,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00574750.jpg,,,,,,,,,, +光条,Dioscorea oppositifolia,T.P.Wang,911,19331002,陕西省,,in valley,climber,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00551910.jpg,,,,,,,,,, +山药,Dioscorea oppositifolia,李克纲、张成等,TD20180509_6134,20180509,湖南,504,林下,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU39151.jpg,,,,,,,,,, +五叶薯蓣,Dioscorea pentaphylla,C. W. Wang,78161,19360900,云南省,1415,in woods,,无花无果,https://image.cvh.ac.cn/files/l/PE/02088741.jpg,,,,,,,,,, +五叶薯蓣,Dioscorea pentaphylla,Y.Tsiang,12227,19330400,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01027092.jpg,,,,,,,,,, +五叶薯蓣,Dioscorea pentaphylla,赵清盛、牟克华,5353,19780612,四川,1000,路边,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0004020.jpg,,,,,,,,,, +,Dioscorea prazeri,,,,,,,,,,,,,,,,,,, +,Dioscorea pubera,,,,,,,,,,,,,,,,,,, +小花刺薯蓣,Dioscorea scortechinii,刘心祈,25558,19360302,海南岛,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00143387.jpg,,,,,,,,,, +小花刺薯蓣,Dioscorea scortechinii,,6679,19620606,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0630939.jpg,,,,,,,,,, +小花刺薯蓣,Dioscorea scortechinii,王孝,高锡朋、刘心祈,100244,19400307,云南省 ,0~1100,,攀援植物,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0630938.jpg,,,,,,,,,, +,Dioscorea wattii,,,,,,,,,,,,,,,,,,, +,Dioscorea xizangensis,,,,,,,,,,,,,,,,,,, +,Diphasiastrum complanatum,刘炳荣,870511,19871000,湖南省,1380,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01785711.jpg,,,,,,,,,, +扁枝石松,Diphasiastrum complanatum,商辉、顾钰峰,SG581,20141118,广西,,,,无孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0044070.jpg,,,,,,,,,, +,Diphasiastrum complanatum,Hong De-yuan et al.,33.512,19860807,吉林省,1580~1600,moist moss and lichen rich forests with subshrubs dark-brown mold rich brown soils,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01563180.jpg,,,,,,,,,, +灰白扁枝石松,Diphasiastrum multispicatum,成晓,王凡红,FB-135,20130625,云南,1800,,,,https://image.cvh.ac.cn/files/l/KUN/1405647.jpg,,,,,,,,,, +,Diphasiastrum multispicatum,王启无,82806,19391114,云南省,1500,,草本,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/0800434.jpg,,,,,,,,,, +地刷子,Diphasiastrum multispicatum,陈永昌,1703,19611207,广西壮族自治区,,山顶,瘠土,分部广,草本,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00356084.jpg,,,,,,,,,, +矮小扁枝石松,Diphasiastrum veitchii,朱维明,22379,19880911,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/HGAS/058076.jpg,,,,,,,,,, +,Diphasiastrum veitchii,"X.H.Jin,Y.S.Chen,",DLJ-ET 3137,20080718,云南省,3700,alpine meadow,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01867989.jpg,,,,,,,,,, +矮小扁枝石松,Diphasiastrum veitchii,桑植林科所,217,19900802,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI060312.jpg,,,,,,,,,, +肠蕨,Diplaziopsis javanica,X.C.Zhang & Z.Y.Liu,2684,20021021,重庆市,1500~2000,灌丛石缝中,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01450832.jpg,,,,,,,,,, +肠蕨,Diplaziopsis javanica,South Tibet Exp.Team (Jin Xiaohua etc.),STET1933,20100802,西藏自治区,900,along the Yarlung Za,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02049503.jpg,,,,,,,,,, +肠蕨,Diplaziopsis javanica,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07296,20160912,西藏,1602,树上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135095.jpg,,,,,,,,,, +,Diplazium alatum,卫然,WR0381,20161027,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02088408.jpg,,,,,,,,,, +狭翅双盖蕨,Diplazium alatum,韦宏金,JSL7515,20191216,海南,~935,土生;常见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431454.jpg,,,,,,,,,, +狭翅双盖蕨,Diplazium alatum,韦宏金、陈彬,JSL7117,20190926,云南,~625,土生;少见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431485.jpg,,,,,,,,,, +,Diplazium apicisorum,,,,,,,,,,,,,,,,,,, +,Diplazium bellum,,,,,,,,,,,,,,,,,,, +,Diplazium chittagongense,,,,,,,,,,,,,,,,,,, +毛柄双盖蕨,Diplazium dilatatum,罗俊杰、莫日根高娃,CFH09001502,20180426,广东,201,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0156912.jpg,,,,,,,,,, +,Diplazium dilatatum,陈念劬,44179,19321026,海南省 ,,在林中山谷内,大型蕨类植物,有孢子囊,https://image.cvh.ac.cn/files/l/AU/AU052443.jpg,,,,,,,,,, +,Diplazium dilatatum,秦仁昌,s.n.,19560300,四川省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01583222.jpg,,,,,,,,,, +双盖蕨,Diplazium donianum,刘正宇,3976,19830407,重庆市,1100,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00000868.jpg,,,,,,,,,, +双盖蕨,Diplazium donianum,成晓,王凡红,FB108,20130625,云南,1772,,,,https://image.cvh.ac.cn/files/l/KUN/1405987.jpg,,,,,,,,,, +双盖蕨,Diplazium donianum,严岳鸿,3470,20061220,海南省,600,林下,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01786295.jpg,,,,,,,,,, +菜蕨,Diplazium esculentum,周喜乐、程志全,ZXL05110,20130812,广西省,,,,无孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0051516.jpg,,,,,,,,,, +食用双盖蕨,Diplazium esculentum,C.W.Wang,76118,19360701,云南省,,Woods,,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0044885.jpg,,,,,,,,,, +食用双盖蕨,Diplazium esculentum,苍梧县普查队,450421200730031LY,20200730,广西,25,针阔混交,林下,黄壤;多;野生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00429537.jpg,,,,,,,,,, +,Diplazium esculentum var. pubescens,卫然,WR0455,20161031,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02088323.jpg,,,,,,,,,, +毛轴食用双盖蕨,Diplazium esculentum var. pubescens,韦宏金,JSL7538,20191218,海南,~600,土生;常见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431477.jpg,,,,,,,,,, +棕鳞双盖蕨,Diplazium forrestii,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4488,20160914,西藏,1484,疏林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136419.jpg,,,,,,,,,, +大型双盖蕨,Diplazium giganteum,严岳鸿、齐新萍,YYH13025,20130903,西藏,900,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0042524.jpg,,,,,,,,,, +大型双盖蕨,Diplazium giganteum,鞠文彬,张程,陈德奎,黎怀成,AZH00393,20150731,四川,1678,路边林中,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0236416.jpg,,,,,,,,,, +,Diplazium giganteum,蔡希陶,60742,19340707,云南省,1300,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00149049.jpg,,,,,,,,,, +格林双盖蕨,Diplazium glingense,"刘成, 亚吉东",18CS17778,20181201,西藏,1372,常绿阔叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1487037.jpg,,,,,,,,,, +,Diplazium griffithii,山中铁次,,19680730,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01963339.jpg,,,,,,,,,, +,Diplazium griffithii,张藝翰,3988,20010515,台湾省,600,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00750886.jpg,,,,,,,,,, +镰羽双盖蕨,Diplazium griffithii,曾宪锋,ZXF40259,20181004,福建,1005,山地密林,多年生草本,有孢子囊群,https://image.cvh.ac.cn/files/l/CZH/CZH0035527.jpg,,,,,,,,,, +,Diplazium himalayense,,,,,,,,,,,,,,,,,,, +篦齿双盖蕨,Diplazium hirsutipes,金摄郎、张九兵,JSL-NL 091,20140629,广东,,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0044784.jpg,,,,,,,,,, +,Diplazium hirsutipes,卫然,WR0437,20161030,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02088309.jpg,,,,,,,,,, +篦齿双盖蕨,Diplazium hirsutipes,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4538,20160915,西藏,,密林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136443.jpg,,,,,,,,,, +鳞轴双盖蕨,Diplazium hirtipes,周喜乐、刘静、邹春玉、张九兵,ZXL07647,20161024,广西,1011,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0139992.jpg,,,,,,,,,, +,Diplazium hirtipes,侯学煜,671a,19410607,重庆市,900,阴湿石灰性土,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01583409.jpg,,,,,,,,,, +,Diplazium hirtipes,,295,19620908,广西壮族自治区,1500,落叶常绿混交林,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02019256.jpg,,,,,,,,,, +,Diplazium latipinnulum,,,,,,,,,,,,,,,,,,, +异裂双盖蕨,Diplazium laxifrons,金摄郎、周喜乐,JSL4938,20161127,重庆,560,溪谷边灌丛中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0139255.jpg,,,,,,,,,, +异裂双盖蕨,Diplazium laxifrons,韦宏金,JSL6802,20190328,云南,~1642,土生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431450.jpg,,,,,,,,,, +异裂双盖蕨,Diplazium laxifrons,邓茂,20188344,20180419,贵州省,738,路边,,有孢子囊,https://image.cvh.ac.cn/files/l/QNUN/QNUN0028736.jpg,,,,,,,,,, +,Diplazium lobulosum,Robert L.Fleming,2353,19770407,,6500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01686042.jpg,,,,,,,,,, +,Diplazium lobulosum,,8765,19300827,四川省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00149716.jpg,,,,,,,,,, +,Diplazium maximum,广西调查队,3479,19530908,广西壮族自治区,,水沟旁 密林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01583089.jpg,,,,,,,,,, +大叶双盖蕨,Diplazium maximum,左家甫,,19830727,江西省,,,,无孢子囊,https://image.cvh.ac.cn/files/l/GFS/GFS0015835.jpg,,,,,,,,,, +大叶双盖蕨,Diplazium maximum,韦宏金,JSL7605,20200305,广西,~425,山冲芭蕉林或阔叶林下;土生;常见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431532.jpg,,,,,,,,,, +墨脱双盖蕨,Diplazium medogense,严岳鸿、齐新萍,YYH13040,20130903,西藏,2400,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0086726.jpg,,,,,,,,,, +,Diplazium multicaudatum,卫然,WR0414,20161028,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02088350.jpg,,,,,,,,,, +,Diplazium multicaudatum,F.E.W.Venning,CH96,19101009,,2500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01523886.jpg,,,,,,,,,, +高大双盖蕨,Diplazium muricatum,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4532,20160915,西藏,1794,密林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136456.jpg,,,,,,,,,, +高大双盖蕨,Diplazium muricatum,金摄郎,JSL-GX 090,20120412,广西省,590,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0038805.jpg,,,,,,,,,, +高大双盖蕨,Diplazium muricatum,李中阳 梁振龙,DLJ068,20171003,云南,,山坡密林下,,有孢子囊,https://image.cvh.ac.cn/files/l/GNNU/GNNU0013884.jpg,,,,,,,,,, +,Diplazium namdaphaense,,,,,,,,,,,,,,,,,,, +,Diplazium nanolobum,,,,,,,,,,,,,,,,,,, +,Diplazium paleaceum,,,,,,,,,,,,,,,,,,, +,Diplazium panigrahianum,,,,,,,,,,,,,,,,,,, +,Diplazium pseudocrinipes,,,,,,,,,,,,,,,,,,, +,Diplazium sarojiniae,,,,,,,,,,,,,,,,,,, +锡金双盖蕨,Diplazium sikkimense,商辉、罗俊杰,SG1963,20170621,云南,775,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0142025.jpg,,,,,,,,,, +,Diplazium singhii,,,,,,,,,,,,,,,,,,, +,Diplazium spectabile,"朱鑫鑫, 王君, 林庶",ZXX191722,20191207,云南,2305,亚热带常绿阔叶林,林中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1483509.jpg,,,,,,,,,, +,Diplazium squamigerum,徐养鹏,1083,19630822,甘肃省,1200,杂林下,,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0215158.jpg,,,,,,,,,, +鳞柄双盖蕨,Diplazium squamigerum,金摄郎、张九兵,JSL-WLSQ 459,20131108,湖南省,1540,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0031382.jpg,,,,,,,,,, +鳞柄双盖蕨,Diplazium squamigerum,朱鑫鑫;王雨鑫;梁俊生;徐坤,ZXX19573,20190514,湖北,801,亚热带针阔混交林,溪沟边,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1482530.jpg,,,,,,,,,, +,Diplazium subdoederleinii,,,,,,,,,,,,,,,,,,, +,Diplazium subspectabile,,,,,,,,,,,,,,,,,,, +肉质双盖蕨,Diplazium succulentum,金摄郎、张九兵,JSL2791,20150524,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0111825.jpg,,,,,,,,,, +,Diplazium tibeticum,,,,,,,,,,,,,,,,,,, +,Diplazium tirapense,,,,,,,,,,,,,,,,,,, +,Diplazium viridissimum,"高信芬, 张良, 李蒙, 张桥蓉, 亚吉东, 崔光帅",QTP-1108-T05-000273,20171204,,2474,Destroyed forest near river,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1484428.jpg,,,,,,,,,, +深绿双盖蕨,Diplazium viridissimum,金摄郎、张九兵,JSL-WLSQ 209,20131031,湖南,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0113569.jpg,,,,,,,,,, +深绿双盖蕨,Diplazium viridissimum,魏奇,王凡红,公艳芬,FB-347,20130809,云南,1282,,,,https://image.cvh.ac.cn/files/l/KUN/1405994.jpg,,,,,,,,,, +重羽菊,Diplazoptilon picridifolium,C.W.Wang,65965,19350800,西藏自治区,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235355.jpg,,,,,,,,,, +重羽菊,Diplazoptilon picridifolium,C.W.Wang,68313,19350800,云南省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235353.jpg,,,,,,,,,, +,Diplomeris hirsuta,,,,,,,,,,,,,,,,,,, +,Diplomeris josephi,,,,,,,,,,,,,,,,,,, +合柱兰,Diplomeris pulchella,金效华,8395,20060820,云南,1266,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825161.jpg,,,,,,,,,, +合柱兰,Diplomeris pulchella,李俊,s.n.,19980704,贵州省,700,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517726.jpg,,,,,,,,,, +合柱兰,Diplomeris pulchella,刘正宇、张军等,S-2301,20170704,重庆,901.85,水湿崖壁,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051497.jpg,,,,,,,,,, +蛇舌兰,Diploprora championii,,18690,,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0626545.jpg,,,,,,,,,, +蛇舌兰,Diploprora championii,"张寿洲,李良千等",2565,20050707,广东,50~100,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809538.jpg,,,,,,,,,, +蛇舌兰,Diploprora championii,"钟国芳,高瑞卿,伍淑惠",1114,19990505,台湾省,500,"broadleaf forest,in ravine on rocky cliff along the stream",,有花有果,https://image.cvh.ac.cn/files/l/PE/02033451.jpg,,,,,,,,,, +,Diploprora truncata,,,,,,,,,,,,,,,,,,, +阔片里白,Diplopterygium blotianum,李中阳,PT367,20160123,云南,1000~1200,峡谷,,有孢子囊,https://image.cvh.ac.cn/files/l/GNNU/GNNU0012413.jpg,,,,,,,,,, +阔片里白,Diplopterygium blotianum,"严岳鸿,秦新生,黎昌汉",6706B,20080406,,600,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00023410.jpg,,,,,,,,,, +阔片里白,Diplopterygium blotianum,陈少卿,10110,19560725,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00031391.jpg,,,,,,,,,, +大里白,Diplopterygium giganteum,商辉,SG2619,20151218,云南,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0110989.jpg,,,,,,,,,, +大里白,Diplopterygium giganteum,商辉、严岳鸿,SG1695,20170518,彭亨州 Pahang,996,路边,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0140696.jpg,,,,,,,,,, +大里白,Diplopterygium giganteum,苏享修,CFH09010648,20150731,福建省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0105186.jpg,,,,,,,,,, +光里白,Diplopterygium laevissimum,祁承经,32013,19640705,湖南,900,山顶矮林,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSFI/CSFI067886.jpg,,,,,,,,,, +,Diplopterygium laevissimum,C.Wang ,35525,19331217,海南省,,summit,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00234636.jpg,,,,,,,,,, +光里白,Diplopterygium laevissimum,商辉、顾钰峰,SG564,20141117,广西,,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0047303.jpg,,,,,,,,,, +蛇头荠,Dipoma iberideum,北京所横断山队,1975,19810725,云南省,3900~4300,高山 流石坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109476.jpg,,,,,,,,,, +蛇头荠,Dipoma iberideum,河西草场考察队,511,19640704,甘肃,~,,,有花有果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0090888.jpg,,,,,,,,,, +蛇头荠,Dipoma iberideum,G.Forrest,28853,19300000,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0497617.jpg,,,,,,,,,, +,Dipsacus chinensis,,,,,,,,,,,,,,,,,,, +喜马拉雅双扇蕨,Dipteris wallichii,"B.Bartholomew,D.E.Boufford & Z.L.Dao",8777,20010906,,575,disturbed broadleaved evergreen forest with tall bamboo in forest,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02049424.jpg,,,,,,,,,, +喜马拉雅双扇蕨,Dipteris wallichii,陈伟烈,10783,19800629,西藏自治区,1400,常绿林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01363638.jpg,,,,,,,,,, +喜马拉雅双扇蕨,Dipteris wallichii,Mr.W.Hancock,213,18930500,云南省 ,,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1220988.jpg,,,,,,,,,, +长蕊万寿竹,Disporum bodinieri,王梦格,2641,20120630,河南,480,灌丛,,无花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1902641.jpg,,,,,,,,,, +长蕊万寿竹,Disporum bodinieri,十万大山采集队,1987,20100320,广西壮族自治区,790,山坡疏林,直立草本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00234684.jpg,,,,,,,,,, +长蕊万寿竹,Disporum bodinieri,分宜县普查队,360521130725731LY,20130725,江西,399.9,阔叶林,多年生草本植物,无花有果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0000832.jpg,,,,,,,,,, +距花万寿竹,Disporum calcaratum,"程树志,李渤生",3337,19821208,西藏自治区,2100,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00136857.jpg,,,,,,,,,, +距花万寿竹,Disporum calcaratum,L.Q.Li et al.,519,20041028,,200,limestone rainforest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01517448.jpg,,,,,,,,,, +距花万寿竹,Disporum calcaratum,,10907,19830713,湖南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0048896.jpg,,,,,,,,,, +万寿竹,Disporum cantoniense,易思荣,16038,19951016,重庆,1070,林下,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00617296.jpg,,,,,,,,,, +万寿竹,Disporum cantoniense,武夷山考察队,80-0476,19800728,福建省,0,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0622191.jpg,,,,,,,,,, +万寿竹,Disporum cantoniense,金效华,SET-ET 611,20090823,西藏自治区,1978,under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01939734.jpg,,,,,,,,,, +长蕊万寿竹,Disporum longistylum,张挺,杨湘云,李巨平,10CS1881,20100703,湖北,2260,林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391777.jpg,,,,,,,,,, +,Disporum longistylum,D.E.Boufford J.R.Massey,12955,19740427,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00137384.jpg,,,,,,,,,, +,Disporum longistylum,"史军,余文刚",37,20050425,贵州省,650~670,沟谷山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01437157.jpg,,,,,,,,,, +,Disporum uniflorum,戴天伦,100961,19580623,重庆市,1450,生于草坪中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00137620.jpg,,,,,,,,,, +,Disporum uniflorum,李振宇,8611,19771003,福建省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01437825.jpg,,,,,,,,,, +,Disporum uniflorum,,50294,,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00137608.jpg,,,,,,,,,, +,Distephanus forrestii,"Ten, Pater Siméon",15,30-Oct-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00178217.jpg,,,,,,,,,, +,Dodecadenia grandiflora,高信芬、涂卫国、何海、乔永康,6659,20030830,西藏,3370,路边林下,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189164.jpg,,,,,,,,,, +,Dodecadenia grandiflora,俞德浚,20204,19380913,云南省,2500,Among woods on open slope,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0102507.jpg,,,,,,,,,, +,Dodecadenia grandiflora,青藏队,11938,19830710,四川省,2450,常绿 阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0102512.jpg,,,,,,,,,, +,Dolomiaea berardioidea,康藏植物考察队,10-0005,20100717,云南省,3296,in sparse Pinus yunanensis forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235810.jpg,,,,,,,,,, +,Dolomiaea berardioidea,FLPH Sichuan Expedition,151154,20150825,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084306.jpg,,,,,,,,,, +厚叶川木香,Dolomiaea berardioidea,"张挺, 郭起荣, 黄兰兰, 车鑫, 李涟漪, 杨映虹, 和云生",15PX214,20150918,云南,,山坡灌草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375966.jpg,,,,,,,,,, +美叶川木香,Dolomiaea calophylla,FLPH Tibet Expedition,12-0416,20120911,西藏自治区,4034,荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909615.jpg,,,,,,,,,, +美叶川木香,Dolomiaea calophylla,钟扬,ZhongY1046,20110920,西藏,,荒坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1368834.jpg,,,,,,,,,, +美叶川木香,Dolomiaea calophylla,郭先林、李子宣,2039868,20200712,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02039868.jpg,,,,,,,,,, +,Dolomiaea crispo-undulata,傅国勋,326,19600705,西藏自治区,4400,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01565967.jpg,,,,,,,,,, +膜缘川木香,Dolomiaea forrestii,罗达尚,8519,19780722,青海省,4100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0212939.jpg,,,,,,,,,, +,Dolomiaea forrestii,"Forrest, George",2806,6-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00275622.jpg,,,,,,,,,, +,Dolomiaea forrestii,FLPH Sichuan Expedition,152365,,四川省,3800~4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084308.jpg,,,,,,,,,, +,Dolomiaea georgii,秦仁昌,23509,19290802,云南省,,草坝湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830574.jpg,,,,,,,,,, +,Dolomiaea georgii,"Forrest, George",10868,13-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00383940.jpg,,,,,,,,,, +,Dolomiaea georgii,R.C.Ching,30703,19391008,云南,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830572.jpg,,,,,,,,,, +,Dolomiaea lateritia,"李渤生,李辉,阳艺",13473,19900904,西藏自治区,,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01565942.jpg,,,,,,,,,, +平苞川木香,Dolomiaea platylepis,,2533,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01565948.jpg,,,,,,,,,, +平苞川木香,Dolomiaea platylepis,方震东,874,19880706,云南省,3150,混交林下,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 002769.jpg,,,,,,,,,, +平苞川木香,Dolomiaea platylepis,"汤宗孝,田效文,孙庆国",100,19820609,四川,3350,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01822443.jpg,,,,,,,,,, +,Dolomiaea souliei,"Forrest, George",28791,1930,,,,,,https://image.cvh.ac.cn/files/l/E/E00275621.jpg,,,,,,,,,, +,Dolomiaea souliei,高云东,黎怀成,郑臣臣,THP-KD-2475,20170711,四川,3500~3600,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251686.jpg,,,,,,,,,, +川木香,Dolomiaea souliei,康藏植物考察队(Kham Expedition),10-3099,20100901,云南省,3320,林缘灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234831.jpg,,,,,,,,,, +西藏川木香,Dolomiaea wardii,Anonymous,75-1576,19750905,西藏自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235368.jpg,,,,,,,,,, +西藏川木香,Dolomiaea wardii,Anonymous,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235359.jpg,,,,,,,,,, +西藏花旗杆,Dontostemon tibeticus,杨金祥,1954,19630719,西藏自治区,5000,河滩, 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01052411.jpg,,,,,,,,,, +西藏花旗杆,Dontostemon tibeticus,张建文,杨斌,陈洪梁,Zh578,20130830,青海省,4365,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1260749.jpg,,,,,,,,,, +,Dontostemon tibeticus,陈世龙,高庆波,张发起,李印虎,付鹏程,邢睿,ChenSL1281,20110726,青海,4380,高寒草甸,高山河谷,金露梅灌丛,直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1300777.jpg,,,,,,,,,, +错那多榔菊,Doronicum conaense,T.T.Yu,12871,19370823,四川省,3800,Mt.slope grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854862.jpg,,,,,,,,,, +错那多榔菊,Doronicum conaense,青藏补点队,751937,19750910,西藏自治区,3900,灌丛,直立草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00935976.jpg,,,,,,,,,, +错那多榔菊,Doronicum conaense,青藏补点组,751937,19750910,西藏,3800-3900,灌丛绿,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0051845.jpg,,,,,,,,,, +甘肃多榔菊,Doronicum gansuense,王一峰等,94366,19940712,甘肃,3480,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823768.jpg,,,,,,,,,, +,Doronicum gansuense,J. F. Rock,12192,25-Jun,,3048,,,,https://image.cvh.ac.cn/files/l/HUH/GH00124936.jpg,,,,,,,,,, +甘肃多榔菊,Doronicum gansuense,张挺,刘成,马梁梁,付小刚,20CS19574,20200709,四川,1984,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506060.jpg,,,,,,,,,, +狭舌多榔菊,Doronicum stenoglossum,J.F.Rock,14599,19260800,甘肃省,3333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854865.jpg,,,,,,,,,, +狭舌多榔菊,Doronicum stenoglossum,T.N.Liou & P.C.Tsoong,2697,19380726,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854863.jpg,,,,,,,,,, +狭舌多榔菊,Doronicum stenoglossum,康藏植物考察队,10-1089,20100801,青海省,3657,山谷溪边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053594.jpg,,,,,,,,,, +西藏多榔菊,Doronicum thibetanum,"李渤生,程树志",5492,19830713,西藏,3800,高山灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01822091.jpg,,,,,,,,,, +西藏多榔菊,Doronicum thibetanum,D.E.Boufford et al.,36887,20060820,四川省,4780~4910,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01579557.jpg,,,,,,,,,, +西藏多榔菊,Doronicum thibetanum,J.F.Rock,13020,19250700,甘肃省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01719719.jpg,,,,,,,,,, +灰岩葶苈,Draba calcicola,青藏队,1467,19810627,云南省,3300~3400,灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01052510.jpg,,,,,,,,,, +灰岩葶苈,Draba calcicola,,,19830723,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/080947.jpg,,,,,,,,,, +,Draba calcicola,"Rock, J.F.",10533,23-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00386062.jpg,,,,,,,,,, +,Draba draboides,,,,,,,,,,,,,,,,,,, +矮葶苈,Draba handelii,郭柯,K-144,19900727,青海省,4940,阳坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01606066.jpg,,,,,,,,,, +矮葶苈,Draba handelii,青藏队,5727,19750616,西藏自治区,5200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/48905.jpg,,,,,,,,,, +,Draba handelii,,ZhengGW09003,,云南,4406,,,,https://image.cvh.ac.cn/files/l/KUN/1235707.jpg,,,,,,,,,, +总苞葶苈,Draba involucrata,刘尚武、黄荣福,770,19660810,青海省,4600,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/17425.jpg,,,,,,,,,, +总苞葶苈,Draba involucrata,李渤生,5827,19830725,西藏自治区,4600,高山冰碛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01052666.jpg,,,,,,,,,, +总苞葶苈,Draba involucrata,王启无,64542,19350715,云南,3500,石崖边,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0038399.jpg,,,,,,,,,, +,Draba juncunda,,,,,,,,,,,,,,,,,,, +线叶葶苈,Draba linearifolia,Qingzang Team,4074,19750619,西藏自治区,4000,荡嘎区东南山阴坡,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00111970.jpg,,,,,,,,,, +,Draba matangensis,,,,,,,,,,,,,,,,,,, +马塘葶苈,Draba matangensis,方震东,147,19870710,云南省,4200~4400,高山草甸灌丛,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003588.jpg,,,,,,,,,, +,Draba matangensis,彭玉兰、涂卫国、幸福,Gaoxf0237,20080716,四川,3860,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0237499.jpg,,,,,,,,,, +,Draba nylamensis,"张永田,郞楷永",3949,19660613,西藏自治区,3760,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01053151.jpg,,,,,,,,,, +山景葶苈,Draba oreodoxa,俞德俊,9181,19370726,云南省,4100,mt.road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/01053247.jpg,,,,,,,,,, +,Draba oreodoxa,"Forrest, George",6141,10-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00386058.jpg,,,,,,,,,, +山景葶苈,Draba oreodoxa,颜素珠,632,19590705,青海,,,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0281487.jpg,,,,,,,,,, +疏花葶苈,Draba remotiflora,"万涛,周世良等",1310,20140321,四川省,,水旁 山谷 沙土,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021051.jpg,,,,,,,,,, +疏花葶苈,Draba remotiflora,鞠文彬,郑臣臣,THP-KD-6532,20170818,四川,3629,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244310.jpg,,,,,,,,,, +,Draba remotiflora,"Smith, Karl August Harald",3777,9-Aug-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00386057.jpg,,,,,,,,,, +衰老葶苈,Draba senilis,,602,19590705,西藏自治区,5000,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00327734.jpg,,,,,,,,,, +衰老葶苈,Draba senilis,J.F.Rock,3968,19220525,云南省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029181.jpg,,,,,,,,,, +衰老葶苈,Draba senilis,无,4480,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0498349.jpg,,,,,,,,,, +中甸葶苈,Draba serpens,北京所横断山队,2194,19810728,云南省,4200~4500,高山 流石坡中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109426.jpg,,,,,,,,,, +,Draba serpens,"Handel-Mazzetti, Heinrich",6961,23-Jun-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00386055.jpg,,,,,,,,,, +诸葛菜,Draba serpens,刘澳,BJTC008562,20190703,北京市,813,山坡林地,,有花有果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008562.jpg,,,,,,,,,, +山菜葶苈,Draba surculosa,吴征镒等,75-947,19750718,西藏自治区,4100,大石砾中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01053383.jpg,,,,,,,,,, +山菜葶苈,Draba surculosa,D.E.Boufford et al.,32634,20050709,四川省,3440,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579561.jpg,,,,,,,,,, +山菜葶苈,Draba surculosa,普查队,1047,19790816,四川,,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705800566.jpg,,,,,,,,,, +,Draba yunnanensis,J. M. Delavay,81,1887-5-6,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00112037.jpg,,,,,,,,,, +云南葶苈,Draba yunnanensis,九龙队,127,19790621,四川,3000,山坡,河谷,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705800568.jpg,,,,,,,,,, +云南葶苈,Draba yunnanensis,高信芬等,3466,20020914,四川省,3360,高山石壁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01603075.jpg,,,,,,,,,, +藏北葶苈,Draba zangbeiensis,Ho Ting-nung et al.,1037,19930810,青海省,4050,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01053448.jpg,,,,,,,,,, +藏北葶苈,Draba zangbeiensis,青藏队植被组,12084,19760729,西藏自治区,4850,沙滩内湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01053447.jpg,,,,,,,,,, +长花龙血树,Dracaena angustifolia,G. Edano,,29-May,Palawan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00023111.jpg,,,,,,,,,, +长花龙血树,Dracaena angustifolia,十万大山采集队,1329,20100125,广西壮族自治区,420,山坡疏林,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00234703.jpg,,,,,,,,,, +长花龙血树,Dracaena angustifolia,Lei C.I.,483,19330326,海南省,,dry gentle slope,sandy soil,thicket,roadside,woody,,有花无果,https://image.cvh.ac.cn/files/l/PE/00137961.jpg,,,,,,,,,, +,Dracaena petiolata,,,,,,,,,,,,,,,,,,, +,Dracocephalum breviflorum,,,,,,,,,,,,,,,,,,, +,Dracocephalum bullatum,,,,,,,,,,,,,,,,,,, +,Dracocephalum calophyllum,,,,,,,,,,,,,,,,,,, +,Dracocephalum forrestii,,,,,,,,,,,,,,,,,,, +,Dracocephalum imbricatum,,,,,,,,,,,,,,,,,,, +,Dracocephalum isabellae,,,,,,,,,,,,,,,,,,, +,Dracocephalum microflorum,,,,,,,,,,,,,,,,,,, +,Dracocephalum propinquum,,,,,,,,,,,,,,,,,,, +,Dracocephalum purdomii,,,,,,,,,,,,,,,,,,, +,Dracocephalum tanguticum,,,,,,,,,,,,,,,,,,, +,Dracocephalum velutinum,,,,,,,,,,,,,,,,,,, +,Dracocephalum wallichii,,,,,,,,,,,,,,,,,,, +丽子藤,Dregea yunnanensis,攀枝花苏铁考察队,92,20100712,四川省,1564,灌木草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883553.jpg,,,,,,,,,, +丽子藤,Dregea yunnanensis,青藏科考队,11734,19760604,西藏自治区,2900,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132909.jpg,,,,,,,,,, +,Drepanostachyum ampullare,,,,,,,,,,,,,,,,,,, +,Drepanostachyum intermedium,,,,,,,,,,,,,,,,,,, +,Drepanostachyum semiorbiculatum,,,,,,,,,,,,,,,,,,, +中华槲蕨,Drynaria baronii,不祥,281,19620604,山西省,1350,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0219821.jpg,,,,,,,,,, +,Drynaria baronii,胡君、王东超、李丽、唐露,SC-a-077-B22,20180809,西藏,,高山栎群落中,附生蕨类,有孢子囊,https://image.cvh.ac.cn/files/l/NAS/NAS00608230.jpg,,,,,,,,,, +中华槲蕨,Drynaria baronii,魏志平,2477,,,,,,无花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ029627.jpg,,,,,,,,,, +,Drynaria coronans,,,,,,,,,,,,,,,,,,, +川滇槲蕨,Drynaria delavayi,成晓,魏奇,公艳芬,FB490,20130823,云南,2333~2530,,,,https://image.cvh.ac.cn/files/l/KUN/1406246.jpg,,,,,,,,,, +川滇槲蕨,Drynaria delavayi,"张宪春,蒋日红,黄尔峰",8990,20170823,四川省,2800,岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234490.jpg,,,,,,,,,, +川滇槲蕨,Drynaria delavayi,G.Forrest,19829,19210700,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01363816.jpg,,,,,,,,,, +,Drynaria mollis,PE-西藏队,3078,20130712,西藏自治区,2470,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02051611.jpg,,,,,,,,,, +,Drynaria mollis,C.S.Chang et al.,NE020476,20021014,,2610~2760,,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01765707.jpg,,,,,,,,,, +毛槲蕨,Drynaria mollis,张林、李星月、张晓严,3-225,20180615,西藏,2707,县城中路,,有孢子囊,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023586.jpg,,,,,,,,,, +小槲蕨,Drynaria parishii,魏奇,王凡红,公艳芬,FB-339,20130808,云南,1051,岩石缝中,,,https://image.cvh.ac.cn/files/l/KUN/1406247.jpg,,,,,,,,,, +小槲蕨,Drynaria parishii,严岳鸿、齐新萍,YYH12713,20130828,西藏自治区,,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0086948.jpg,,,,,,,,,, +小槲蕨,Drynaria parishii,Abbe Fr.Ducloux,6934,,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02004138.jpg,,,,,,,,,, +,Drynaria propinqua,Mr.W.Hancock,117,18931000,云南省 ,,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1220957.jpg,,,,,,,,,, +石莲姜槲蕨,Drynaria propinqua,中植联广西队,1638,20080628,广西壮族自治区,1200,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01314652.jpg,,,,,,,,,, +石莲姜槲蕨,Drynaria propinqua,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07274,20160912,西藏,,树上,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137165.jpg,,,,,,,,,, +尖齿鳞毛蕨,Dryopteris acutodentata,吴磊、罗金龙、温兆捷,5000,20160422,湖南省,400,山谷密林,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSFI/CSFI056237.jpg,,,,,,,,,, +尖齿鳞毛蕨,Dryopteris acutodentata,"张宪春,蒋日红,黄尔峰",8854,20170819,四川省,3300,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234279.jpg,,,,,,,,,, +尖齿鳞毛蕨,Dryopteris acutodentata,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191512,20190928,云南,4159,亚热带,高山灌丛中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1486036.jpg,,,,,,,,,, +多雄拉鳞毛蕨,Dryopteris alpestris,青藏队植被组,3283,19740917,西藏自治区,4000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01521211.jpg,,,,,,,,,, +多雄拉鳞毛蕨,Dryopteris alpestris,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07438,20160916,西藏,3809,乱石堆中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136026.jpg,,,,,,,,,, +多雄拉鳞毛蕨,Dryopteris alpestris,"黄建益,刘建华,叶大玮,趙淑枝",2649,20060730,台湾省,3530,"On stony slope cracks,exposed,locally abundant.",,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01963847.jpg,,,,,,,,,, +中越鳞毛蕨,Dryopteris annamensis,"魏奇, 卢金梅, 何俊, 公艳芬",FB841,20140605,海南,1639,无,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1455718.jpg,,,,,,,,,, +中越鳞毛蕨,Dryopteris annamensis,"朱鑫鑫, 王君, 林庶",ZXX191673,20191205,云南,1939,亚热带常绿阔叶林,林中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1485801.jpg,,,,,,,,,, +中越鳞毛蕨,Dryopteris annamensis,金摄郎、张九兵,JSL2774,20150523,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0111805.jpg,,,,,,,,,, +顶果鳞毛蕨,Dryopteris apiciflora,严岳鸿、齐新萍,YYH13033,20130903,西藏,2400,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0042527.jpg,,,,,,,,,, +阿萨姆鳞毛蕨,Dryopteris assamensis,邓涛,60730018,20060730,湖南省,,路旁,草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU16224.jpg,,,,,,,,,, +阿萨姆鳞毛蕨,Dryopteris assamensis,陈红锋等,77,20070928,广东,1015,,,有孢子囊,https://image.cvh.ac.cn/files/l/AU/AU067799.jpg,,,,,,,,,, +阿萨姆鳞毛蕨,Dryopteris assamensis,"严岳鸿,周喜乐,王兰英",4146,20070725,江西省,800,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01840164.jpg,,,,,,,,,, +暗鳞鳞毛蕨,Dryopteris atrata,严岳鸿,3289,20060411,江西省,800,密林,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01796384.jpg,,,,,,,,,, +暗鳞鳞毛蕨,Dryopteris atrata,刘恩德,方伟,徐洲锋,赵倩茹,秦凤,3551,20120322,云南省 ,2383,under broad-leaf forest,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1251637.jpg,,,,,,,,,, +暗鳞鳞毛蕨,Dryopteris atrata,陈彦生、吴振海、黎斌、郭晓思等,1854,2004/10/12,陕西省,2110,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0492761.jpg,,,,,,,,,, +多鳞鳞毛蕨,Dryopteris barbigera,白洪兵、李红,533324180921973LY,20180921,云南,3790,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/SABG/SABG009071.jpg,,,,,,,,,, +多鳞鳞毛蕨,Dryopteris barbigera,张宪春等,1762,19970816,甘肃省,2500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01852689.jpg,,,,,,,,,, +多鳞鳞毛蕨,Dryopteris barbigera,朱维明,744,19570820,云南省 ,3900,,,无花无果,https://image.cvh.ac.cn/files/l/HGAS/051839.jpg,,,,,,,,,, +基生鳞毛蕨,Dryopteris basisora,韦宏金,JSL6938,20190406,西藏,~2017,土生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431180.jpg,,,,,,,,,, +,Dryopteris basisora,,2423,,,,,,,https://image.cvh.ac.cn/files/l/P/P00630680.jpg,,,,,,,,,, +,Dryopteris basisora,"王中仁,朱维明",942,19840628,云南省,2050,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01451640.jpg,,,,,,,,,, +西域鳞毛蕨,Dryopteris blanfordii,粟林,4.33E+15,20150302,湖南省,274,,,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU11152.jpg,,,,,,,,,, +西域鳞毛蕨,Dryopteris blanfordii,青藏队,7618,19750913,西藏自治区,3550,山坡Picea林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01138999.jpg,,,,,,,,,, +西域鳞毛蕨,Dryopteris blanfordii,管中天,5264,19580531,四川省,2920,小山坡荒山灌木地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01138997.jpg,,,,,,,,,, +,Dryopteris blanfordii subsp. nigrosquamosa,孔宪需,6012,19810817,四川省,3400,山沟云杉林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01138823.jpg,,,,,,,,,, +,Dryopteris blanfordii subsp. nigrosquamosa,"刘家宜,侯云凤",5208,19190507,甘肃省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/TIE/00001359.jpg,,,,,,,,,, +假边果鳞毛蕨,Dryopteris caroli-hopei,"X.H.Jin,Y.S.Chen,",DLJ-ET 2318,20080709,云南省,1650,evergreen forest,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01870752.jpg,,,,,,,,,, +假边果鳞毛蕨,Dryopteris caroli-hopei,成晓,魏奇,公艳芬,FB596,20130829,云南,1750,常绿阔叶林下,,,https://image.cvh.ac.cn/files/l/KUN/1406130.jpg,,,,,,,,,, +假边果鳞毛蕨,Dryopteris caroli-hopei,Freser-Jenkins,7076,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01729063.jpg,,,,,,,,,, +高山金冠鳞毛蕨,Dryopteris chrysocoma,成晓,魏奇,公艳芬,FB534,20130825,云南,2181,,,,https://image.cvh.ac.cn/files/l/KUN/1406124.jpg,,,,,,,,,, +金冠鳞毛蕨,Dryopteris chrysocoma,于子文,GYZ20160609002,20160609,贵州,,阴处,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GYBG/GYBG0009691.jpg,,,,,,,,,, +金冠鳞毛蕨,Dryopteris chrysocoma,,s.n.,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01729223.jpg,,,,,,,,,, +膜边鳞毛蕨,Dryopteris clarkei,韦宏金,JSL6992,20190408,西藏,~,土生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431867.jpg,,,,,,,,,, +,Dryopteris clarkei,"张宪春,蒋日红,黄尔峰",8858,20170819,四川省,3300,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234517.jpg,,,,,,,,,, +膜边鳞毛蕨,Dryopteris clarkei,"刘恩德,邹娇,王存花,李伟,李鹏映,陈婷,潘颖达,李秀玲",LED9845,20200815,云南,1931,林缘,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1511489.jpg,,,,,,,,,, +近中肋鳞毛蕨,Dryopteris costalisora,C.Wang ,31589,19311217,广东省,,in ravine,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01780447.jpg,,,,,,,,,, +,Dryopteris costalisora,王乾、顾健,SCW0586,20190824,四川,3757,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0267551.jpg,,,,,,,,,, +桫椤鳞毛蕨,Dryopteris cycadina,金摄郎、魏宏宇、张娇,JSL6056,20170907,浙江,1129.5,灌丛中溪水边,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0152997.jpg,,,,,,,,,, +桫椤鳞毛蕨,Dryopteris cycadina,植物资源考察队,D1037,19840823,河南省,500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01000852.jpg,,,,,,,,,, +桫椤鳞毛蕨,Dryopteris cycadina,严岳鸿等,1457,20030803,广东省,1500,山谷密林,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01786905.jpg,,,,,,,,,, +远轴鳞毛蕨,Dryopteris dickinsii,裘佩喜,1842,19580810,福建省,,水旁 山谷 岩石上 疏密林中下 潮湿地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01001121.jpg,,,,,,,,,, +远轴鳞毛蕨,Dryopteris dickinsii,韦宏金、陈彬,JSL7702,20201016,湖北,~1290,沟谷边疏林下;少见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431898.jpg,,,,,,,,,, +远轴鳞毛蕨,Dryopteris dickinsii,Tia-lon Dai,,1958/ /,四川,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0130715.jpg,,,,,,,,,, +,Dryopteris diffracta,H.T.Tasi,52630,19320000,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00117355.jpg,,,,,,,,,, +,Dryopteris diffracta,"刘成, 亚吉东",18CS17769,20181201,西藏,1372,常绿阔叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1487032.jpg,,,,,,,,,, +,Dryopteris diffracta,"张宪春,郭治友,税玉民等",8439,20170410,云南省,1810,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234360.jpg,,,,,,,,,, +近纤维鳞毛蕨,Dryopteris fibrillosissima,武素功,向建英等,200305069,20030603,云南省,3300,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1226341.jpg,,,,,,,,,, +近纤维鳞毛蕨,Dryopteris fibrillosissima,朱维明,冯永明,877,19570828,云南,3080米,密阴处、密林中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/SN/SN010068.jpg,,,,,,,,,, +,Dryopteris fibrillosissima,王乾,M-129,20180625,四川,2725,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0267933.jpg,,,,,,,,,, +硬果鳞毛蕨,Dryopteris fructuosa,巴山采集队,213,20080709,重庆市,1420,山坡路旁,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01851357.jpg,,,,,,,,,, +硬果鳞毛蕨,Dryopteris fructuosa,白水江采集队,4868,20070514,甘肃省,1250,山坡土坡上,,,https://image.cvh.ac.cn/files/l/PE/01704023.jpg,,,,,,,,,, +硬果鳞毛蕨,Dryopteris fructuosa,Anonymous,31372,,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ029005.jpg,,,,,,,,,, +华北鳞毛蕨,Dryopteris goeringiana,王中仁,226,19820900,北京市,1030,引种栽培在植物所图书馆门前,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01138832.jpg,,,,,,,,,, +华北鳞毛蕨,Dryopteris goeringiana,金摄郎、商辉,SG2687,20150813,黑龙江省,,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0096851.jpg,,,,,,,,,, +华北鳞毛蕨,Dryopteris goeringiana,"张宪春,蒋日红",6702,20110808,陕西省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01914609.jpg,,,,,,,,,, +,Dryopteris heterolaena,Smith,2126,19280500,四川省,2400,in thickets,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01863699.jpg,,,,,,,,,, +异鳞鳞毛蕨,Dryopteris heterolaena,周喜乐、刘静、邹春玉、张九兵,ZXL07642,20161024,广西,819,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0138909.jpg,,,,,,,,,, +异鳞鳞毛蕨,Dryopteris heterolaena,严岳鸿、金摄郎、张锐,JSL3782,20160401,湖南,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0118939.jpg,,,,,,,,,, +,Dryopteris himalaica,青藏队,682,19730714,西藏自治区,2300,山坡常绿林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01001931.jpg,,,,,,,,,, +,Dryopteris hirtipes,,7047,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01731718.jpg,,,,,,,,,, +,Dryopteris hirtipes,岛津制作所标本部,51,19080830,京都,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0028177.jpg,,,,,,,,,, +,Dryopteris hirtipes,X.C.Zhang,5066,20071008,西藏自治区,2500,,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01792657.jpg,,,,,,,,,, +西藏红腺蕨,Dryopteris hookeriana,韦宏金,JSL6844,20190329,云南,~2081,土生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431958.jpg,,,,,,,,,, +粗齿鳞毛蕨,Dryopteris juxtaposita,周建军 周电,13861,20130930,湖南省,1361,阴湿石壁,多年生草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSFI/CSFI057007.jpg,,,,,,,,,, +粗齿鳞毛蕨,Dryopteris juxtaposita,徐养鹏,1193,1964/8/8,甘肃,2250,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0128955.jpg,,,,,,,,,, +粗齿鳞毛蕨,Dryopteris juxtaposita,D.E.Boufford & Yong-Sheng Chen,43575,20130818,云南省,2250,In clay soil in and at edge of forest in shade of trees,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02055761.jpg,,,,,,,,,, +近多鳞毛蕨,Dryopteris komarovii,,22,,青海省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00945528.jpg,,,,,,,,,, +近多鳞毛蕨,Dryopteris komarovii,PE西藏队,PE6476,20170912,西藏自治区,4530,高山草甸,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01891831.jpg,,,,,,,,,, +近多鳞鳞毛蕨,Dryopteris komarovii,谢登峰、蔡竞、秦换换,QH-025-B-037,20201001,四川,3481.36m,高山灌丛,中生或阳生,有孢子,https://image.cvh.ac.cn/files/l/SZ/02062305.jpg,,,,,,,,,, +脉纹鳞毛蕨,Dryopteris lachoongensis,张宪春,4032,20060627,西藏,2100,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01822770.jpg,,,,,,,,,, +脉纹鳞毛蕨,Dryopteris lachoongensis,"X.H.Jin,Y.S.Chen,",DLJ-ET 1330,20080703,云南省,2000,evergreen broad,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01870747.jpg,,,,,,,,,, +脉纹鳞毛蕨,Dryopteris lachoongensis,赵子恩,5212,19940725,湖北省,1500,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0098540.jpg,,,,,,,,,, +黑鳞鳞毛蕨,Dryopteris lepidopoda,詹选怀、彭焱松等,LXP2771,20141104,江西,425,山坡、疏林,草本,无花无果,https://image.cvh.ac.cn/files/l/LBG/LBG00140393.jpg,,,,,,,,,, +黑鳞鳞毛蕨,Dryopteris lepidopoda,"龙茹,郑宝汇",90083,20090502,湖北省,1500,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02003982.jpg,,,,,,,,,, +黑鳞鳞毛蕨,Dryopteris lepidopoda,"张宪春,郭治友",7934,20160625,云南省,1700,树干上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02074113.jpg,,,,,,,,,, +,Dryopteris medogensis,,,,,,,,,,,,,,,,,,, +近川西鳞毛蕨,Dryopteris neorosthornii,侯元同,郭成勇,20150624254-1,20150624,重庆市,447.8,林缘湖边湿地,草本,有孢子囊,https://image.cvh.ac.cn/files/l/QFNU/QFNU0022902.jpg,,,,,,,,,, +近川西鳞毛蕨,Dryopteris neorosthornii,"李渤生,李辉,阳艺",13631,19900908,西藏自治区,2900~3100,Tsuga 林下常见草本,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01520988.jpg,,,,,,,,,, +近川西鳞毛蕨,Dryopteris neorosthornii,,112,19741011,福建省,250,路边杂林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01138904.jpg,,,,,,,,,, +优雅鳞毛蕨,Dryopteris nobilis,K. M. Feng,7991,19400920,云南省,2500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01863810.jpg,,,,,,,,,, +优雅鳞毛蕨,Dryopteris nobilis,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07240,20160911,西藏,2484,坡面,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137149.jpg,,,,,,,,,, +优雅鳞毛蕨,Dryopteris nobilis,韦宏金,JSL6788,20190327,云南,~1370,土生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431790.jpg,,,,,,,,,, +林芝鳞毛蕨,Dryopteris nyingchiensis,"李渤生,李辉,阳艺",13396,19900902,西藏自治区,3100,Tsuga 林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01520997.jpg,,,,,,,,,, +林芝鳞毛蕨,Dryopteris nyingchiensis,T.T.Yu,7840,,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00945805.jpg,,,,,,,,,, +林芝鳞毛蕨,Dryopteris nyingchiensis,青藏队补点,751832,19750903,西藏,2900,石缝中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1216760.jpg,,,,,,,,,, +鱼鳞鳞毛蕨,Dryopteris paleolata,吴声云,8230720,20030703,贵州省,1045,路边,,有花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0003285.jpg,,,,,,,,,, +鱼鳞鳞毛蕨,Dryopteris paleolata,罗俊杰、莫日根高娃,CFH09001337,20180504,广西,1218,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0156943.jpg,,,,,,,,,, +鱼鳞鳞毛蕨,Dryopteris paleolata,倪志诚,汪永泽,次多,次旦,808,19800726,西藏自治区,2300,山坡云南松林中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/XZ/XZ0000099.jpg,,,,,,,,,, +大果鳞毛蕨,Dryopteris panda,第一组,82,19560716,山东省,,,,,https://image.cvh.ac.cn/files/l/BNU/0025414.jpg,,,,,,,,,, +大果鳞毛蕨,Dryopteris panda,"王中仁,夏群",293,19820715,四川省,1690,山谷石壁流水边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01138777.jpg,,,,,,,,,, +大果鳞毛蕨,Dryopteris panda,T. P. Wang,9647,1938/9/9,四川,2500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0094438.jpg,,,,,,,,,, +柄盖蕨,Dryopteris peranema,商辉、顾钰峰,SG719,20141126,贵州省,,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0044147.jpg,,,,,,,,,, +柄盖鳞毛蕨,Dryopteris peranema,严岳鸿、商辉、刘子玥,SG1644,20161127,湖北,1297,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136295.jpg,,,,,,,,,, +柄盖鳞毛蕨,Dryopteris peranema,商辉、罗俊杰,SG1819,20170616,云南,2267,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0142029.jpg,,,,,,,,,, +南亚鳞毛蕨,Dryopteris pseudocaenopteris,金摄郎、周喜乐,ZXL07743,20161124,重庆,901,疏林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137191.jpg,,,,,,,,,, +南亚鳞毛蕨,Dryopteris pseudocaenopteris,严克俭,80087,20100822,广西壮族自治区,1400,山坡密丛,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMI/GXMI062779.jpg,,,,,,,,,, +南亚鳞毛蕨,Dryopteris pseudocaenopteris,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07391,20160915,西藏,1130,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135869.jpg,,,,,,,,,, +豫陕鳞毛蕨,Dryopteris pulcherrima,马?,47,19590831,山西省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01118485.jpg,,,,,,,,,, +豫陕鳞毛蕨,Dryopteris pulcherrima,"张宪春,蒋日红",6697,20110806,陕西省,1900,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01914640.jpg,,,,,,,,,, +豫陕鳞毛蕨,Dryopteris pulcherrima,,s.n.,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01730753.jpg,,,,,,,,,, +藏布鳞毛蕨,Dryopteris redactopinnata,严岳鸿、齐新萍,YYH12908,20130901,西藏,3000,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0124393.jpg,,,,,,,,,, +藏布鳞毛蕨,Dryopteris redactopinnata,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191329,20190917,云南,3240,亚热带针叶林,林中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1483643.jpg,,,,,,,,,, +藏布鳞毛蕨,Dryopteris redactopinnata,"赵存峰,张中帅",53,20150823,西藏自治区,3700~3800,针叶林下山坡石壁上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02084784.jpg,,,,,,,,,, +无盖鳞毛蕨,Dryopteris scottii,海南东路队,569,19541107,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00036164.jpg,,,,,,,,,, +无盖鳞毛蕨,Dryopteris scottii,巴山采集队,1096,20080709,重庆市,892,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01861221.jpg,,,,,,,,,, +无盖鳞毛蕨,Dryopteris scottii,青藏队植被组,4165,19750625,西藏自治区,4000,阴坡,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01521244.jpg,,,,,,,,,, +刺尖鳞毛蕨,Dryopteris serratodentata,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4373,20160910,西藏,3907,坡面上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136569.jpg,,,,,,,,,, +刺尖鳞毛蕨,Dryopteris serratodentata,"朱维明,冯永民",759,19570818,云南省,,,,无孢子囊,https://image.cvh.ac.cn/files/l/TIE/00001498.jpg,,,,,,,,,, +锡金鳞毛蕨,Dryopteris sikkimensis,"韩裕丰,邓坤梅",81-818,19810619,云南省,2660,常绿阔叶林,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01119037.jpg,,,,,,,,,, +锡金鳞毛蕨,Dryopteris sikkimensis,J.F.Rock,7601,19221100,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00158320.jpg,,,,,,,,,, +锡金鳞毛蕨,Dryopteris sikkimensis,朱维明,,Nov-96,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0004269.jpg,,,,,,,,,, +纤维鳞毛蕨,Dryopteris sinofibrillosa,张宪春等,6471,20100927,云南省,3295,路边山坡土生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01853159.jpg,,,,,,,,,, +纤维鳞毛蕨,Dryopteris sinofibrillosa,Yuji Suehiro,2447,19761001,,3700,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01730115.jpg,,,,,,,,,, +纤维鳞毛蕨,Dryopteris sinofibrillosa,J.I.Jeon et al.,SI1021,20100702,四川省,3079,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01915559.jpg,,,,,,,,,, +中尼鳞毛蕨,Dryopteris sinonepalensis,左政裕,Zuo4947,20210706,云南,2550,林下土生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1519955.jpg,,,,,,,,,, +稀羽鳞毛蕨,Dryopteris sparsa,董金廷,HNP096,20120916,河南,,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/AU/AU078234.jpg,,,,,,,,,, +稀羽鳞毛蕨,Dryopteris sparsa,詹选怀、彭焱松等,LXP6740,20170517,江西,446,山坡、密林,草本,无花无果,https://image.cvh.ac.cn/files/l/LBG/LBG00129524.jpg,,,,,,,,,, +稀羽鳞毛蕨,Dryopteris sparsa,"李中阳,卫然,张红瑞",7409,20150821,贵州省,800,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02307855.jpg,,,,,,,,,, +光亮鳞毛蕨,Dryopteris splendens,T.Thomson,s.n.,18500000,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01730156.jpg,,,,,,,,,, +光亮鳞毛蕨,Dryopteris splendens,沈哲昊,S19,,西藏自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01119337.jpg,,,,,,,,,, +光亮鳞毛蕨,Dryopteris splendens,唐廷贵 姜笑梅 杨瑞华,10053,19710704,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/NKU/NK 013369.jpg,,,,,,,,,, +褐鳞鳞毛蕨,Dryopteris squamifera,白洪兵、海仙,5333241812011040LY,20181201,云南,3062,,草本,无孢子囊,https://image.cvh.ac.cn/files/l/SABG/SABG009792.jpg,,,,,,,,,, +褐鳞鳞毛蕨,Dryopteris squamifera,K.M.Feng,4543,19400613,云南省,3200,杂林中,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01119346.jpg,,,,,,,,,, +褐鳞鳞毛蕨,Dryopteris squamifera,J.A.Shafer & Graoe E.Kinzer,2893,19050703,,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00156968.jpg,,,,,,,,,, +肉刺鳞毛蕨,Dryopteris squamiseta,周喜乐,严岳鸿,王莹,张九兵,ZXL06892,20151027,云南,938,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0115720.jpg,,,,,,,,,, +肉刺鳞毛蕨,Dryopteris squamiseta,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4540,20160915,西藏,2033,密林下,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136441.jpg,,,,,,,,,, +肉刺鳞毛蕨,Dryopteris squamiseta,严岳鸿、商辉、刘子玥,SG1641,20161127,湖北,1283,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136294.jpg,,,,,,,,,, +狭鳞鳞毛蕨,Dryopteris stenolepis,"张宪春,郭治友,税玉民等",8256,20170412,云南省,1637,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234418.jpg,,,,,,,,,, +狭鳞鳞毛蕨,Dryopteris stenolepis,吕惠珍、李莹、邓志军、黄燕芬、岑海锋,451028121118028LY,20121118,广西,1277,阔叶林,林下,石灰土,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMG/GXMG0143363.jpg,,,,,,,,,, +狭鳞鳞毛蕨,Dryopteris stenolepis,武素功,向建英,70082,20070811,云南省 ,1400~1500,in the valley of the broad-leaf forest,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1225879.jpg,,,,,,,,,, +柳羽鳞毛蕨,Dryopteris subimpressa,,Q10(1),,广西壮族自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01119445.jpg,,,,,,,,,, +柳羽鳞毛蕨,Dryopteris subimpressa,秦仁昌,23225,19290710,云南省,,水沟边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01119446.jpg,,,,,,,,,, +柳羽鳞毛蕨,Dryopteris subimpressa,C.R.Fraser Jenkins,7224,19720915,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01730178.jpg,,,,,,,,,, +半育鳞毛蕨,Dryopteris sublacera,D.E.Boufford et al,32535,20040817,西藏,3480~3550,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01822820.jpg,,,,,,,,,, +无柄鳞毛蕨,Dryopteris sublacera,向良考,7092,20070526,湖南省,700,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00013431.jpg,,,,,,,,,, +半育鳞毛蕨,Dryopteris sublacera,赵万义、刘忠成、陈彦朝,LXP-13-25952,20180521,湖南,189,山谷、壤土、疏林、石上, 陆生、草本、直立 ,有孢子囊,https://image.cvh.ac.cn/files/l/SYS/SYS00209604.jpg,,,,,,,,,, +三角鳞毛蕨,Dryopteris subtriangularis,"严岳鸿,何祖霞",3586,20070503,江西省,1400,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01785057.jpg,,,,,,,,,, +三角鳞毛蕨,Dryopteris subtriangularis,Henk van der Werff et al.,14172,19970327,,1000~1200,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01963799.jpg,,,,,,,,,, +三角鳞毛蕨,Dryopteris subtriangularis,"张宪春,郭志友,向巧萍等",7272,20150427,贵州省,500~700,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02056168.jpg,,,,,,,,,, +,Dryopteris tingiensis,,,,,,,,,,,,,,,,,,, +,Dryopteris transmorrisonensis,,,,,,,,,,,,,,,,,,, +大羽鳞毛蕨,Dryopteris wallichiana,FLPH Tibet Expedition,12-0901,20120904,西藏自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01967008.jpg,,,,,,,,,, +,Dryopteris wallichiana,王乾,M-426,20181012,四川,2695,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0268265.jpg,,,,,,,,,, +大羽鳞毛蕨,Dryopteris wallichiana,Anonymous,2846,19640711,安徽省,,,蕨科,无花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ028948.jpg,,,,,,,,,, +细叶鳞毛蕨,Dryopteris woodsiisora,Tsang W.T.,20550,19320523,广东省,,On rock,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01138195.jpg,,,,,,,,,, +细叶鳞毛蕨,Dryopteris woodsiisora,谭策铭、朱大海,95550,19950814,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/JJF/00000200.jpg,,,,,,,,,, +细叶鳞毛蕨,Dryopteris woodsiisora,,s.n.,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01138200.jpg,,,,,,,,,, +兆洪鳞毛蕨,Dryopteris wuzhaohongii,严岳鸿、齐新萍,YYH12971,20130903,西藏,2800,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0042500.jpg,,,,,,,,,, +大果鱼鳞蕨,Dryopteris wuzhaohongii,魏奇,WQ350,20140929,云南,3314,土生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1436986.jpg,,,,,,,,,, +易贡鳞毛蕨,Dryopteris yigongensis,South Tibet Expedition Team(STET),STET0389,20100715,西藏自治区,2800,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02013425.jpg,,,,,,,,,, +易贡鳞毛蕨,Dryopteris yigongensis,,s.n.,,,2333,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01730319.jpg,,,,,,,,,, +易贡鳞毛蕨,Dryopteris yigongensis,武素功,向建英等,30701,20030719,云南省,2950,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1226374.jpg,,,,,,,,,, +察隅鳞毛蕨,Dryopteris zayuensis,D.E.Boufford J.F.Harber & X.H.Li,43349,20130831,云南省,3730,In forest,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02055797.jpg,,,,,,,,,, +察隅鳞毛蕨,Dryopteris zayuensis,青藏队, 73-373 ,19730626,西藏,3700,山坡高山栎林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1216661.jpg,,,,,,,,,, +察隅鳞毛蕨,Dryopteris zayuensis,PE-西藏队,2741,20130707,西藏自治区,3163,路边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02051647.jpg,,,,,,,,,, +棕毛厚喙菊,Dubyaea amoena,T.T.Yu,20261,19380914,云南省,3500,alpine grassland,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235747.jpg,,,,,,,,,, +棕毛厚喙菊,Dubyaea amoena,李红、和仕波,533324180825411LY,20180825,云南,3669.9,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009684.jpg,,,,,,,,,, +,Dubyaea amoena,"Handel-Mazzetti, Heinrich",9913,15-Jul-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00394875.jpg,,,,,,,,,, +伞房厚喙菊,Dubyaea cymiformis,傅国勋,984,19600724,西藏自治区,3200,石堆上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00606473.jpg,,,,,,,,,, +矮小厚喙菊,Dubyaea gombalana,FLPH Tibet Expedition,12-1789,20120919,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967485.jpg,,,,,,,,,, +,Dubyaea gombalana,,,,,,,,,,,,,,,,,,, +木里厚喙菊,Dubyaea muliensis,青藏队,13098,19830819,四川省,3300,山坡 Abies林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00606512.jpg,,,,,,,,,, +,Dubyaea rubra,"Kingdon-Ward, Francis",4836,12-Aug-21,,,,,,https://image.cvh.ac.cn/files/l/E/E00394877.jpg,,,,,,,,,, +长柄厚喙菊,Dubyaea rubra,T.T.Yu,12966,19370828,四川省,3200,margin of woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00606525.jpg,,,,,,,,,, +长柄厚喙菊,Dubyaea rubra,T.T.Yu,22540,19380827,云南省,3400,Mt.grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00606524.jpg,,,,,,,,,, +,Dubyaea tsarongensis,"Forrest, George",16871,18-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00394878.jpg,,,,,,,,,, +察隅厚喙菊,Dubyaea tsarongensis,青藏队,10220,19820909,西藏自治区,4100,山坡流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/00606538.jpg,,,,,,,,,, +察隅厚喙菊,Dubyaea tsarongensis,李红、白洪兵,533324180901615LY,20180901,云南,3297,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009692.jpg,,,,,,,,,, +毛蕊草,Duthiea brachypodium,耿伯介等,162,19570821,青海省,3000,向东 阳坡 山坡,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00519012.jpg,,,,,,,,,, +毛蕊草,Duthiea brachypodium,张昌兵,ZhangCB0026,20081017,四川,3540,宽谷山麓草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401111.jpg,,,,,,,,,, +,Duthiea brachypodium,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-145-B35,20190824,西藏,4026,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260672.jpg,,,,,,,,,, +西藏八角莲,Dysosma tsayuensis,PE西藏队,PE5937,20170905,西藏自治区,3020~3460,林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/02333945.jpg,,,,,,,,,, +西藏八角莲,Dysosma tsayuensis,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,693,20120805,西藏,,,草本,无花有果,https://image.cvh.ac.cn/files/l/BJM/0230650.jpg,,,,,,,,,, +,Dysosma tsayuensis,,,,,,,,,,,,,,,,,,, +,Dysoxylum medogense,,,,,,,,,,,,,,,,,,, +光头稗,Echinochloa colona,Musee Heude,1481,19300428,江苏省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00142801.jpg,,,,,,,,,, +光头稗,Echinochloa colona,张婧雅,16258,20160929,山西省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/SXU/00027542.jpg,,,,,,,,,, +,Echinochloa colona,Charles T.Bryson,22935,20080928,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003079.jpg,,,,,,,,,, +稗,Echinochloa crus-galli,C.M.Wang,W05585,20020519,台湾省,160,on unplowing rice field,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088976.jpg,,,,,,,,,, +稗,Echinochloa crus-galli,王小溪,77,20030625,湖南省,461,山路菜园地边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01787395.jpg,,,,,,,,,, +,Echinochloa crus-galli,Taihoku-shi,11130,19320619,台湾,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00632001.jpg,,,,,,,,,, +湖南稗子,Echinochloa frumentacea,刘正宇、张军等,93005,20090802,重庆市,760,草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0025353.jpg,,,,,,,,,, +,Echinochloa frumentacea,黄河队,7747,1956/8/19,陕西省,,,直立草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0086764.jpg,,,,,,,,,, +湖南稗子,Echinochloa frumentacea,刘正宇,2022904,20020925,云南省,1400,林缘沟边,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0025356.jpg,,,,,,,,,, +硬稃稗,Echinochloa glabrescens,杨金祥,2167,19590908,陕西省,700,水渠边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00488058.jpg,,,,,,,,,, +硬稃稗,Echinochloa glabrescens,黔北队,2467,19590907,贵州省,900,水旁草地阳处潮湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00488079.jpg,,,,,,,,,, +硬稃稗,Echinochloa glabrescens,,233,19440703,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00488085.jpg,,,,,,,,,, +,Echinochloa stagnina,,,,,,,,,,,,,,,,,,, +,Elaeagnus lanpingensis,,,,,,,,,,,,,,,,,,, +,Elaeagnus xizangensis,,,,,,,,,,,,,,,,,,, +,Elaeocarpus borealiyunnanensis,,,,,,,,,,,,,,,,,,, +,Elaeocarpus brachystachyus,,,,,,,,,,,,,,,,,,, +舌蕨,Elaphoglossum marginatum,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07407,20160915,西藏,1549,,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135905.jpg,,,,,,,,,, +舌蕨,Elaphoglossum marginatum,陈真传,10802,20020406,海南省,1380,,,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00033536.jpg,,,,,,,,,, +,Elaphoglossum marginatum,卫然,WR0441,20161030,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02109737.jpg,,,,,,,,,, +云南舌蕨,Elaphoglossum stelligerum,严岳鸿、齐新萍,YYH12993,20130903,西藏自治区,2400,,,无孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0087028.jpg,,,,,,,,,, +,Elaphoglossum stelligerum,张宪春,6653,20101115,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871015.jpg,,,,,,,,,, +,Elaphoglossum stelligerum,,2934,20030829,云南省,1600~1800,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01451763.jpg,,,,,,,,,, +云南舌蕨,Elaphoglossum yunnanense,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07254,20160911,西藏,2426,,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137261.jpg,,,,,,,,,, +,Elaphoglossum yunnanense,A.Henry,1311OA,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00112574.jpg,,,,,,,,,, +云南舌蕨,Elaphoglossum yunnanense,,6779,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01771116.jpg,,,,,,,,,, +尖被楼梯草,Elatostema acutitepalum,青藏队,9158,19820809,云南省,1300,山坡常绿阔叶林下,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00023102.jpg,,,,,,,,,, +狭被楼梯草,Elatostema angustitepalum,李勃生 程树志,4521,19830506,西藏自治区,1400,Alnus 林下常见草本,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00023109.jpg,,,,,,,,,, +耳状楼梯草,Elatostema auriculatum,白洪兵、和旭,533324180518268LY,20180515,云南,1523.9,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009110.jpg,,,,,,,,,, +耳状楼梯草,Elatostema auriculatum,Gaoligong Shan Biodiversity Survey,20840,20040501,云南省,2640,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847783.jpg,,,,,,,,,, +耳状楼梯草,Elatostema auriculatum,周建军 、周电,13531,20130702,湖南省,,林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI026798.jpg,,,,,,,,,, +背崩楼梯草,Elatostema beibengense,李勃生 程树志 倪志诚,3763,19830524,西藏自治区,1700,乔松林下时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934342.jpg,,,,,,,,,, +苎麻楼梯草,Elatostema boehmerioides,李勃生 程树志,4576,19830510,西藏自治区,800,Alnus 半常绿雨林下时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934435.jpg,,,,,,,,,, +楔苞楼梯草,Elatostema cuneiforme,税玉民等,31692,20021018,云南省,,石灰山沟谷热带雨林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01843182.jpg,,,,,,,,,, +细梗楔苞楼梯草,Elatostema cuneiforme,李勃生 程树志,5113,19830617,西藏自治区,1850,常绿阔叶林下 优势草本,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934353.jpg,,,,,,,,,, +楼梯草属,Elatostema cuneiforme,倪志诚 汪永泽 次多、次旦,381,19800703,西藏,2000,常绿阔叶林林下,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0001241.jpg,,,,,,,,,, +双头楼梯草,Elatostema didymocephalum,李勃生 程树志,4953,19830602,西藏自治区,950,Ficus 林下湿地多见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934358.jpg,,,,,,,,,, +拟盘托楼梯草,Elatostema dissectoides,独龙江考察队,4434,19910309,云南省,1400,山谷常绿林,高草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934360.jpg,,,,,,,,,, +拟盘托楼梯草,Elatostema dissectoides,"李渤生,程树志",4512,19830506,西藏自治区,1400,Alnus 林下常见草本石边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00160601.jpg,,,,,,,,,, +独龙楼梯草,Elatostema dulongense,青藏队,9130,19820809,云南省,1350,山坡常绿阔叶林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00023131.jpg,,,,,,,,,, +独龙楼梯草,Elatostema dulongense,白洪兵、李红,533324180829554LY,20180829,云南,2114,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009850.jpg,,,,,,,,,, +绒序楼梯草,Elatostema eriocephalum,李勃生 程树志,3570,19830208,西藏自治区,900,林下潮湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934361.jpg,,,,,,,,,, +绒序楼梯草,Elatostema eriocephalum,路端正,,19990800,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00041815.jpg,,,,,,,,,, +绒序楼梯草,Elatostema eriocephalum,路端正,,19990800,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00041815.jpg,,,,,,,,,, +锈茎楼梯草,Elatostema ferrugineum,青藏队,9313,19820813,云南省,1400,山坡常绿阔叶林下岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934362.jpg,,,,,,,,,, +贡山楼梯草,Elatostema gungshanense,"刘杰,刘基男,陈凯",GLGE14988,20140924,云南省,2198,老公路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/02032462.jpg,,,,,,,,,, +贡山楼梯草,Elatostema gungshanense,李渤生等,6767,19830819,西藏自治区,2500,林下时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00160648.jpg,,,,,,,,,, +疏伞楼梯草,Elatostema laxicymosum,South Tibet Expedition Team(STET),STET2320,20100807,西藏自治区,840,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108137.jpg,,,,,,,,,, +李恒楼梯草,Elatostema lihengianum,独龙江考察队,4377,19910309,云南省,1500,常绿林,直立,有花无果,https://image.cvh.ac.cn/files/l/PE/00934375.jpg,,,,,,,,,, +李恒楼梯草,Elatostema lihengianum,"李渤生,程树志",4028,19830409,西藏自治区,850,半常绿雨林下优势草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/00161012.jpg,,,,,,,,,, +木姜楼梯草,Elatostema litseifolium,李勃生 程树志,4326,19830426,西藏自治区,1600,常绿阔叶林石上时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934376.jpg,,,,,,,,,, +墨脱楼梯草,Elatostema medogense,生态室高原组,11408,19800727,西藏自治区,1900,林下地面,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934379.jpg,,,,,,,,,, +宽角楼梯草,Elatostema platyceras,北京植物所横断山队,441,19810606,云南省,1700,两岸沟谷水边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00023181.jpg,,,,,,,,,, +拟骤尖楼梯草,Elatostema pseudocuspidatum,北京植物所横断山队,698,19810621,云南省,2300,沟谷边小溪旁优势,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032674.jpg,,,,,,,,,, +假骤尖楼梯草,Elatostema pseudocuspidatum,刘正宇,817727,19810702,重庆市,760,阴湿林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0035453.jpg,,,,,,,,,, +直尾楼梯草,Elatostema recticaudatum,李勃生 程树志,3880,19830328,西藏自治区,650,Ficus 林下石砾 地时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934402.jpg,,,,,,,,,, +拟细尾楼梯草,Elatostema tenuicaudatoides,税玉民,1432,19930204,云南省,1650,山沟密林中水沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01869334.jpg,,,,,,,,,, +拟细尾楼梯草,Elatostema tenuicaudatoides,李勃生 程树志,2464,19830111,西藏自治区,2400,常绿阔叶林阴湿林下及阶地空竹丛下多见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934434.jpg,,,,,,,,,, +四被楼梯草,Elatostema tetratepalum,生态室 高原组,11307,19800724,西藏自治区,700,林下,草本,无花无果,https://image.cvh.ac.cn/files/l/PE/00023211.jpg,,,,,,,,,, +,Eleocharis abnorma,,,,,,,,,,,,,,,,,,, +针蔺,Eleocharis congesta,黄迎新,448,20150715,吉林省,146,草甸/盐化低地草甸/盐碱土,,有花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0228728.jpg,,,,,,,,,, +针蔺,Eleocharis congesta,黄迎新,1114,20150719,吉林省大安市,142,草甸/沼泽化地草甸/草甸土,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0230391.jpg,,,,,,,,,, +密花荸荠,Eleocharis congesta,"李明生,李振宇等",5993,19860801,福建省,300,水田,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911755.jpg,,,,,,,,,, +,Eleocharis dulcis,"陈耀东,郎青",711,19840902,江西省,70,水深0.8-1m,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911658.jpg,,,,,,,,,, +,Eleocharis dulcis,Ming-Jer Jung,3469,20080919,台湾省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950152.jpg,,,,,,,,,, +,Eleocharis dulcis,刘心祈,27814,19360902,海南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0370297.jpg,,,,,,,,,, +,Eleocharis erhaiensis,,,,,,,,,,,,,,,,,,, +,Eleocharis ovata,云南省林业学校,,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911726.jpg,,,,,,,,,, +卵穗荸荠,Eleocharis ovata,刘钊元,,19890801,黑龙江,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00002875.jpg,,,,,,,,,, +,Eleocharis ovata,K.U.Kramer,11029,19910901,,400,dense mats in wet places.,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911789.jpg,,,,,,,,,, +沼泽荸荠,Eleocharis palustris,H.W.Kung,1628,19310622,吉林省,,,,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 000781.jpg,,,,,,,,,, +沼泽荸荠,Eleocharis palustris,周太炎等,2207,19590608,山东省,,海边沙滩,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00536570.jpg,,,,,,,,,, +,Eleocharis palustris,,,,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02024607.jpg,,,,,,,,,, +,Eleocharis penchaoi,,,,,,,,,,,,,,,,,,, +,Eleocharis qinghaiensis,,,,,,,,,,,,,,,,,,, +,Eleocharis quinqueflora,"近田文弘,郎楷永",532,19870911,新疆维吾尔自治区,1350,水边湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01236426.jpg,,,,,,,,,, +,Eleocharis quinqueflora,PE西藏考察队,7543,20180619,西藏自治区,4374,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331967.jpg,,,,,,,,,, +少花荸荠,Eleocharis quinqueflora,李晖,边巴,徐爱国,Lihui-Q-09-72,20090927,西藏,3714,河滩草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1398445.jpg,,,,,,,,,, +,Eleocharis setulosa,,,,,,,,,,,,,,,,,,, +龙师草,Eleocharis tetraquetra,Taku Miyazaki,310343,20031014,,208,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01959382.jpg,,,,,,,,,, +龙师草,Eleocharis tetraquetra,侯学良、张若鹏,91626,20180324,福建省三明市,317,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/AU/AU062581.jpg,,,,,,,,,, +龙师草,Eleocharis tetraquetra,辛景三,50687,19550309,云南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0658633.jpg,,,,,,,,,, +单鳞苞荸荠,Eleocharis uniglumis,刘全儒、徐丹、刘慧圆,200608208,20060814,甘肃省,1760,河岸,草本,,https://image.cvh.ac.cn/files/l/BNU/0012643.jpg,,,,,,,,,, +单鳞苞荸荠,Eleocharis uniglumis,高生所 西藏队,3630,19740711,西藏自治区,4200,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/186371.jpg,,,,,,,,,, +单鳞苞荸荠,Eleocharis uniglumis,周太炎,651403,19650813,新疆维吾尔自治区 ,0~1100,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0658712.jpg,,,,,,,,,, +针蔺,Eleocharis valleculosa,贺士元,,19950703,北京市,,,,,https://image.cvh.ac.cn/files/l/BNU/0023332.jpg,,,,,,,,,, +水葱草,Eleocharis valleculosa,Tso-Pin Wang,W.750,1931/7/7,河北; HOPEI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00017581.jpg,,,,,,,,,, +具刚毛荸荠,Eleocharis valleculosa,邓世纬,90084,19360416,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00149946.jpg,,,,,,,,,, +具刚毛荸荠,Eleocharis valleculosa var. setosa,高庆波、邢睿、贾留坤,Gao2018017,20180703,青海,2687,芦苇湿地、沼泽,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026292.jpg,,,,,,,,,, +具刚毛荸荠,Eleocharis valleculosa var. setosa,邓世纬,90084,19360416,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00149946.jpg,,,,,,,,,, +具刚毛荸荠,Eleocharis valleculosa var. setosa,张昌兵,邓秀华,ZhangCB0276,20090906,四川,3524,湿地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1398456.jpg,,,,,,,,,, +,Eleocharis wichurae,K.Inami,CBM 209925,19740919,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01944545.jpg,,,,,,,,,, +羽毛荸荠,Eleocharis wichurae,王臣;张欣欣;史传奇,WangCh63,20150630,黑龙江省,353,水塘,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1398460.jpg,,,,,,,,,, +羽毛荸荠,Eleocharis wichurae,张少华,张颖颖,程丹丹,辛晓伟,王义坤,张世尧,庞荣,崔燕霞,刘庆阳,lilan507,20121023,山东,80,温带河漫滩湿地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1398461.jpg,,,,,,,,,, +,Eleusine coracana,Tsang Wai-Tak,790,19270910,海南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00488272.jpg,,,,,,,,,, +穇,Eleusine coracana,予北植被队,101,19640823,山西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0233289.jpg,,,,,,,,,, +,Eleusine coracana,,7486,1951/9/21,山东,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0072475.jpg,,,,,,,,,, +牛筋草,Eleusine indica,,,1930/4/4,河北; HOPEI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00015298.jpg,,,,,,,,,, +牛筋草,Eleusine indica,王启无,73970,19580802,云南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00520094.jpg,,,,,,,,,, +牛筋草,Eleusine indica,赵遵田,杜远达,杜超,张璐璐,ZhaoZT0033,20081011,山东,50,针阔混交林林缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401303.jpg,,,,,,,,,, +宝兴五加,Eleutherococcus baoxinensis,彭定一,46509,1980-08-,四川省,2210,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0069770.jpg,,,,,,,,,, +,Eleutherococcus lasiogyne,王启无,66193,19350900,西藏自治区,3000,Ravine,,无花有果,https://image.cvh.ac.cn/files/l/PE/00943366.jpg,,,,,,,,,, +,Eleutherococcus lasiogyne,李馨,71953,19570920,四川省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710371.jpg,,,,,,,,,, +康定五加,Eleutherococcus lasiogyne,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11822,20161110,西藏,2423,林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1450642.jpg,,,,,,,,,, +,Eleutherococcus verticillatus,,2184,19740819,西藏自治区,3400,冷杉林下No302,,无花有果,https://image.cvh.ac.cn/files/l/PE/00918996.jpg,,,,,,,,,, +轮伞五加,Eleutherococcus verticillatus,J.J.Tang,,19890731,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2014313.jpg,,,,,,,,,, +,Elsholtzia capituligera,,,,,,,,,,,,,,,,,,, +,Elsholtzia cephalantha,,,,,,,,,,,,,,,,,,, +,Elsholtzia ochroleuca,,,,,,,,,,,,,,,,,,, +,Elsholtzia pygmaea,,,,,,,,,,,,,,,,,,, +,Elsholtzia souliei,,,,,,,,,,,,,,,,,,, +,Elymus altissimus,高信芬、彭玉兰、涂卫国,2892,20020729,四川省,2000,路边草丛,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0197781.jpg,,,,,,,,,, +,Elymus altissimus,高信芬、彭玉兰、涂卫国,2892,20020729,四川,2000,路边草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0197780.jpg,,,,,,,,,, +,Elymus anthosachnoides,高信芬、彭玉兰、涂卫国,2580,20020720,四川省,3575,高山草甸,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0197786.jpg,,,,,,,,,, +假花鳞草,Elymus anthosachnoides,彭玉兰、张君议、杨焰,THP-KD-1709,20170711,四川,3725~3795,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255052.jpg,,,,,,,,,, +小颖披碱草,Elymus antiquus,杨青松,星耀武,苏涛,ZhouZK-07ZX-0334,20080911,云南,3016,针阔叶混交林林缘草坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401363.jpg,,,,,,,,,, +小颖披碱草,Elymus antiquus,李淑娟、李长慧,105,20140813,青海省,3159,阳坡,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00012698.jpg,,,,,,,,,, +,Elymus antiquus,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-142-B40,,西藏,3459,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261346.jpg,,,,,,,,,, +芒颖披碱草,Elymus aristiglumis,李淑娟、李长慧,108,20140813,青海省,3436,灌木丛,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00012680.jpg,,,,,,,,,, +芒颖披碱草,Elymus aristiglumis,,8453,1973.7.1,新疆维吾尔自治区 ,2600,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00048401.jpg,,,,,,,,,, +芒颖披碱草,Elymus aristiglumis,,8453,1973716,,2600,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20014860.jpg,,,,,,,,,, +,Elymus aristiglumis var. hirsutus,,,,,,,,,,,,,,,,,,, +,Elymus aristiglumis var. leianthus,,,,,,,,,,,,,,,,,,, +黑紫披碱草,Elymus atratus,M.Ohara etc.,2968,19820715,Pennsylvania,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/337371.jpg,,,,,,,,,, +黑紫披碱草,Elymus atratus,黄土队,5319,1985/7/22,青海,2700,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0460250.jpg,,,,,,,,,, +黑紫披碱草,Elymus atratus,刘坤,LiuJQ-GN-2011-390,20110818,甘肃,3525,沼泽化草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401413.jpg,,,,,,,,,, +硬穗披碱草,Elymus barystachyus,王为义等,27629,19830808,青海省,3300,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/105391.jpg,,,,,,,,,, +硬穗披碱草,Elymus barystachyus,张发起;高庆波;迟晓峰;刑睿;贾留坤;夏铭泽,QXA0239,20170827,青海,3000,温带荒漠草地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1481033.jpg,,,,,,,,,, +短芒披碱草,Elymus breviaristatus,彭玉兰,涂卫国,余春丽,GaoXF-0688,20080821,四川,2642,路边草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401414.jpg,,,,,,,,,, +短芒披碱草,Elymus breviaristatus,何叶琪,5928,1959/8/8,甘肃省,2600,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0391561.jpg,,,,,,,,,, +短芒披碱草,Elymus breviaristatus,汤宗孝等,682,19930808,四川省,3200,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01951850.jpg,,,,,,,,,, +,Elymus brevipes,"D.E.Boufford,J.H.Chen,K.Fujikawa etc.",34413,20050809,四川省,3960~3980,grazed Juniperus forest on slope and open slopes along stream adjacent to heavily disturbed barnyard-like habitat with various weeds meadow among shrubs,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088929.jpg,,,,,,,,,, +短柄披碱草,Elymus brevipes,"T.N.Ho、B.Bartholomew、M.Watson,等",2609,19960829,青海省,3450,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/00001350.jpg,,,,,,,,,, +短柄披碱草,Elymus brevipes,张昌兵,ZhangCB0044,20081026,四川,3753,亚高山灌丛草甸山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401423.jpg,,,,,,,,,, +,Elymus burchan-buddae,刘艳春,340,20100907,云南省,3284,in the secondary forest,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221255.jpg,,,,,,,,,, +短颖披碱草,Elymus burchan-buddae,岳伟、苏旭、王玉金,LiuJQ-2011-WYJ-019,20110907,青海省,3584,温带灌丛坡地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/HNWP/00002920.jpg,,,,,,,,,, +短颖披碱草,Elymus burchan-buddae,张昌兵,邓秀华,ZhangCB0315,20091028,四川,3764,山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401427.jpg,,,,,,,,,, +,Elymus cacuminis,,,,,,,,,,,,,,,,,,, +,Elymus caesifolius,,,,,,,,,,,,,,,,,,, +纤瘦披碱草,Elymus caianus,李淑娟、李长慧,244,20140803,青海省,4110,阳坡,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00012679.jpg,,,,,,,,,, +,Elymus curtiaristatus,,,,,,,,,,,,,,,,,,, +披碱草,Elymus dahuricus,李晓东,刘帆,张景博,徐凌翔,LiJ0186,20080912,甘肃,3490,湿地草场,,,https://image.cvh.ac.cn/files/l/KUN/1401484.jpg,,,,,,,,,, +披碱草,Elymus dahuricus,"王计平, 张斌武, 刘俊良",NMXA18549Y1C03,20180907,内蒙古,919,荒漠,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1454898.jpg,,,,,,,,,, +披碱草,Elymus dahuricus,张粤、苏道岩、付伟、魏志文,XM172,20140828,内蒙古自治区通辽市,206.5,草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0237500.jpg,,,,,,,,,, +圆柱披碱草,Elymus dahuricus var. cylindricus,蔡杰,张挺,刘成等,10CS2523,20100922,甘肃,2418,路边灌草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401502.jpg,,,,,,,,,, +圆柱披碱草,Elymus dahuricus var. cylindricus,谢登峰、蔡竞、秦换换,SC-00-001-A-057,20200905,四川,3282.19m,高山草坡,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02064396.jpg,,,,,,,,,, +,Elymus dahuricus var. cylindricus,Liu Yanchun,544,20101018,云南省,3200,on slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088963.jpg,,,,,,,,,, +岷山披碱草,Elymus durus,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20882,20200630,西藏,3950,水边湿地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505260.jpg,,,,,,,,,, +,Elymus elytrigioides,,,,,,,,,,,,,,,,,,, +,Elymus grandiglumis,D.R.Dewey,D-3403,19830920,青海省,2500,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00520214.jpg,,,,,,,,,, +低株披碱草,Elymus jacquemontii,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201707,20200812,西藏,4952,湖边沙地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1508911.jpg,,,,,,,,,, +柯孟披碱草,Elymus kamoji,李宏庆,殷鸽,杨灵霞,LiHQ0172,20090522,上海,5,菜园地周边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401530.jpg,,,,,,,,,, +柯孟披碱草,Elymus kamoji,张代贵,王业清,朱晓琴,"zdg,wyq,zxq0496",20170424,湖北宜昌,259,峡谷阔叶林下草丛,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE00364.jpg,,,,,,,,,, +,Elymus kamoji,李培元,2431,19590519,陕西省,1300,山坡上,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00520217.jpg,,,,,,,,,, +,Elymus kengii,D.R.Dewey,D-2588,19800805,甘肃省,4300,Apline meadow,Clums,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00520218.jpg,,,,,,,,,, +,Elymus kengii,D.R.Dewey,D-2548,19800801,青海省,,,"Caespitose,culms",有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00520219.jpg,,,,,,,,,, +青海鹅观草,Elymus kokonoricus,,9893,1959.7.1,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00048607.jpg,,,,,,,,,, +青海鹅观草,Elymus kokonoricus,,9893,1959719,,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20015054.jpg,,,,,,,,,, +,Elymus laxiflorus,,,,,,,,,,,,,,,,,,, +,Elymus melantherus,,,,,,,,,,,,,,,,,,, +垂披碱草,Elymus nutans,杨人俊,杨人俊B0625,,吉林省长春市,,,,有花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF007286.jpg,,,,,,,,,, +垂穗披碱草,Elymus nutans,泛喜马拉雅植物志巴基斯坦采集队,FPH-0455,20120621,,4700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02005995.jpg,,,,,,,,,, +三颖披碱草,Elymus nutans,刘坤,LiuJQ-GN-2011-397,20110802,甘肃,3525,草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401566.jpg,,,,,,,,,, +,Elymus pulanensis,,,,,,,,,,,,,,,,,,, +,Elymus retroflexus,Yang J.L.et al.,880786,19880921,西藏自治区,4100,Slope with sparse Betula vegetation,,有花有果,https://image.cvh.ac.cn/files/l/PE/00039314.jpg,,,,,,,,,, +,Elymus retusus,,,,,,,,,,,,,,,,,,, +,Elymus rigidulus,D.R.Dewey,D-2795,19860617,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00520268.jpg,,,,,,,,,, +扭轴披碱草,Elymus schrenkianus,李淑娟、李长慧,77,20140812,青海省,3460,灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00012709.jpg,,,,,,,,,, +扭轴披碱草,Elymus schrenkianus,,?,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00048707.jpg,,,,,,,,,, +扭轴披碱草,Elymus schrenkianus,,?,,,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20015151.jpg,,,,,,,,,, +,Elymus shouliangiae,,,,,,,,,,,,,,,,,,, +西伯利亚披碱草,Elymus sibiricus,K.M.Liou,2589,19340702,Hopei,950,,,无花有果,https://image.cvh.ac.cn/files/l/JSPC/JSPC107723.jpg,,,,,,,,,, +老芒麦,Elymus sibiricus,郭永杰,张桥蓉,李春晓,张继,11CS3502,20110919,云南,3655,草地,草本,,https://image.cvh.ac.cn/files/l/KUN/1401664.jpg,,,,,,,,,, +老芒麦,Elymus sibiricus,山西队,949,19560905,山西省,1950,草地 阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826893.jpg,,,,,,,,,, +中华披碱草,Elymus sinicus,杨国平,07-91,20070729,云南,2450,水边,田边,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1401714.jpg,,,,,,,,,, +中华披碱草,Elymus sinicus,李淑娟、李长慧,108,20140731,青海省,3553,阴坡、灌丛,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00012688.jpg,,,,,,,,,, +,Elymus sinicus,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-124-B40,20190817,四川,3735,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261868.jpg,,,,,,,,,, +,Elymus stenachyrus,,,,,,,,,,,,,,,,,,, +,Elymus strictus,郭淑青、杜品,LiuJQ-GN-077,20120911,甘肃省,0~2937,草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0284783.jpg,,,,,,,,,, +肃草,Elymus strictus,张昌兵,向丽,ZhangCB0174,20080812,四川,3600,亚高山针叶林林间草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401719.jpg,,,,,,,,,, +肃草,Elymus strictus,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201293,20200726,西藏,2078,农田边,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505506.jpg,,,,,,,,,, +麦 草,Elymus tangutorum,"汤宗孝,柏正强,任文夫",427,19930803,四川省,3300,村边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01607134.jpg,,,,,,,,,, +麦 草,Elymus tangutorum,黄河调查队,33061,19550723,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01608145.jpg,,,,,,,,,, +麦 草,Elymus tangutorum,巴山采集队,1573,20080719,陕西省,2180,山坡路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851033.jpg,,,,,,,,,, +,Elymus tenuispicus,,,,,,,,,,,,,,,,,,, +,Elymus tibeticus,,,,,,,,,,,,,,,,,,, +云山披碱草,Elymus tschimganicus,,3932,1974.8.9,新疆维吾尔自治区 ,4400,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00048802.jpg,,,,,,,,,, +云山披碱草,Elymus tschimganicus,,3932,197489,,4400,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20015237.jpg,,,,,,,,,, +光穗曲芒鹅观草,Elymus tschimganicus,刘全儒,ALT.395,20140801,新疆,4126,荒漠,草,,https://image.cvh.ac.cn/files/l/BNU/0028689.jpg,,,,,,,,,, +,Elymus yangiae,,,,,,,,,,,,,,,,,,, +中间偃麦草,Elytrigia intermedia,黄土高原采集队,2144,1983/10/30,宁夏,1400,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0440326.jpg,,,,,,,,,, +,Elytrigia intermedia,植物园,527,19530727,河北省,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/00489952.jpg,,,,,,,,,, +中间偃麦草,Elytrigia intermedia,不祥,76251,19760820,新疆维吾尔自治区,1650,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/57325.jpg,,,,,,,,,, +偃麦草,Elytrigia repens,,,,河北,,,,良好,https://image.cvh.ac.cn/files/l/BJM/143702.jpg,,,,,,,,,, +偃麦草,Elytrigia repens,苏陕民,210,1964/5/27,新疆维吾尔族自治区,,,一年生草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0292698.jpg,,,,,,,,,, +偃麦草,Elytrigia repens,王生新,347,19670727,青海省,2230,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/15338.jpg,,,,,,,,,, +,Enneapogon desvauxii,黄河调查队,7876,19560904,宁夏回族自治区,1550,山坡阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00504035.jpg,,,,,,,,,, +,Enneapogon desvauxii,I.Y.Pai,202,19330925,陕西省,1260,slope of coarse sandy region,,有花有果,https://image.cvh.ac.cn/files/l/PE/00504024.jpg,,,,,,,,,, +,Enneapogon desvauxii,C.F.Li,10640,19290628,河北省,,exfoliated soil,,有花有果,https://image.cvh.ac.cn/files/l/PE/00489996.jpg,,,,,,,,,, +象腿蕉,Ensete glaucum,税玉民,陈文红,13906,20001025,云南省,1000~1300,in the second forest,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0334130.jpg,,,,,,,,,, +象腿蕉,Ensete glaucum,西南师院生物系,2403,19590505,四川省,1000,湿润地方,一般为栽培,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0334264.jpg,,,,,,,,,, +象腿蕉,Ensete glaucum,刘成、字海荣、赵金超,14CS8416,20140329,云南,1457,农地田梗上,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1390735.jpg,,,,,,,,,, +,Ephedra chengiae,,,,,,,,,,,,,,,,,,, +,Ephedra chengiae var. spinosa,,,,,,,,,,,,,,,,,,, +山岭麻黄,Ephedra gerardiana,Anonymous,喀9,19850600,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02062036.jpg,,,,,,,,,, +山岭麻黄,Ephedra gerardiana,T.N.Ho et al.,1944,19960816,青海省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00053387.jpg,,,,,,,,,, +山岭麻黄,Ephedra gerardiana,C.W.Wang,68475,19350800,云南省 ,3600,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00166446.jpg,,,,,,,,,, +中麻黄,Ephedra intermedia,王希平,82080,19820715,新疆维吾尔自治区 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00166566.jpg,,,,,,,,,, +中麻黄,Ephedra intermedia,何叶琪,3106,1959/6/13,内蒙,1500,,小灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0482451.jpg,,,,,,,,,, +中麻黄,Ephedra intermedia,付坤俊,6489,1953/5/18,陕西,830,,小灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0057740.jpg,,,,,,,,,, +丽江麻黄,Ephedra likiangensis,杨朝广,242,19510703,河北省,0,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00166527.jpg,,,,,,,,,, +丽江麻黄,Ephedra likiangensis,C.W.Wang,70676,19350600,云南省 ,2700,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00166458.jpg,,,,,,,,,, +丽江麻黄,Ephedra likiangensis,袁家漠、陈谦海,74-1011,1974.12.6.,贵州,2500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0017179.jpg,,,,,,,,,, +,Ephedra minuta,,,,,,,,,,,,,,,,,,, +单子麻黄,Ephedra monosperma,陈世龙,高庆波,张发起,付鹏程,邢睿,ChenSL1614,20110819,青海,3520,路边流石滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1405524.jpg,,,,,,,,,, +单子麻黄,Ephedra monosperma,冯国楣,22391,19590713,云南省,3250,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0136060.jpg,,,,,,,,,, +单子麻黄,Ephedra monosperma,杨永昌,1286,19650723,,4500,河漫滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/00043041.jpg,,,,,,,,,, +,Ephedra rituensis,,,,,,,,,,,,,,,,,,, +藏麻黄,Ephedra saxatilis,蔡希陶,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00100368.jpg,,,,,,,,,, +藏麻黄,Ephedra saxatilis,谢登峰、张相宜,2030841,20190926,四川,3116,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02030841.jpg,,,,,,,,,, +藏麻黄,Ephedra saxatilis,T.T.Yu,5078,19370426,云南省,2600,slope open place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00015890.jpg,,,,,,,,,, +宽叶厚唇兰,Epigeneium amplum,"李渤生,程树志",2405,19821231,西藏自治区,1400~1900,常绿阔叶林树上时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491559.jpg,,,,,,,,,, +宽叶厚唇兰,Epigeneium amplum,"S.K.Wu,Y.M.Shui,Y.P.Yang etc.",450,19951016,云南省,1700~1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033600.jpg,,,,,,,,,, +宽叶厚唇兰,Epigeneium amplum,金效华,李剑武,王喜龙,王程旺,19347,20171117,西藏,1381,半常绿阔叶林,附生植物,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030537.jpg,,,,,,,,,, +厚唇兰,Epigeneium clemensiae,冯国楣,5057,19541017,云南省,1300,树上密林中,润湿,,无花无果,https://image.cvh.ac.cn/files/l/PE/00338097.jpg,,,,,,,,,, +厚唇兰,Epigeneium clemensiae,"刘成, 亚吉东",18CS17266,20181123,西藏,1624,次生林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487474.jpg,,,,,,,,,, +厚唇兰,Epigeneium clemensiae,华南生物多样性调查队 金效华,5004,20030921,海南省,1002~1500,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033514.jpg,,,,,,,,,, +单叶厚唇兰,Epigeneium fargesii,赵运林,764664,19871107,湖南省,700,山地,路旁,山谷,密林,石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00338102.jpg,,,,,,,,,, +单叶厚唇兰,Epigeneium fargesii,,3343,19600910,浙江省,,,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00557964.jpg,,,,,,,,,, +单叶厚唇兰,Epigeneium fargesii,金佛山考察队,2159,19860805,重庆市,1450,生干燥岩石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00851136.jpg,,,,,,,,,, +景东厚唇兰,Epigeneium fuscescens,金效华,9262,20071212,云南,1871,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825169.jpg,,,,,,,,,, +景东厚唇兰,Epigeneium fuscescens,P.J.Chau K.C.Luo Y.B.Qin et al,ASBK213,19970428,广西壮族自治区,1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097497.jpg,,,,,,,,,, +景东厚唇兰,Epigeneium fuscescens,Jin Xiaohua,11844,20111101,云南省,1800~2300,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033175.jpg,,,,,,,,,, +双叶厚唇兰,Epigeneium rotundatum,李中提,602839,19590116,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00145655.jpg,,,,,,,,,, +双叶厚唇兰,Epigeneium rotundatum,金效华,8098,20060325,云南省,1907,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825170.jpg,,,,,,,,,, +双叶厚唇兰,Epigeneium rotundatum,王启无,63442,19350500,云南省 ,1500,ravine,rock surface,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00557965.jpg,,,,,,,,,, +长爪厚唇兰,Epigeneium treutleri,李剑武,4468,20151030,云南,2000,常绿阔叶林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028985.jpg,,,,,,,,,, +长爪厚唇兰,Epigeneium treutleri,金效华,李剑武,王喜龙,王程旺,19093,20171109,西藏,2003,半常绿阔叶林,附生植物,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030512.jpg,,,,,,,,,, +,Epilobium kingdonii,,,,,,,,,,,,,,,,,,, +川西淫羊藿,Epimedium elongatum,李馨,77574,19580602,重庆市,3000,山脊,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01032130.jpg,,,,,,,,,, +川西淫羊藿,Epimedium elongatum,戴天伦,92050,19920406,贵州省,1350,松林或灌木丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01032123.jpg,,,,,,,,,, +川西淫羊藿,Epimedium elongatum,D.E.Boufford et al.,37983,20070723,四川省,2880~2920,"In forest in moist,rich soil.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01868972.jpg,,,,,,,,,, +天全淫羊藿,Epimedium flavum,K.L.Chu,2485,19360502,四川省,2550,On roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604397.jpg,,,,,,,,,, +天全淫羊藿,Epimedium flavum,张燕君,75,20060409,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0131881.jpg,,,,,,,,,, +少花淫羊藿,Epimedium pauciflorum,W.T.Stearn,s.n.,19940402,,,Cult.,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579153.jpg,,,,,,,,,, +少花淫羊藿,Epimedium pauciflorum,严克俭、邵小林,66535,19870416,四川省,1700,山坡阳处,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432167.jpg,,,,,,,,,, +少花淫羊藿,Epimedium pauciflorum,,66535,19870416,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00387618.jpg,,,,,,,,,, +,Epipactis helleborine,"杨亲二,袁琼",Yangqe2266,20080818,云南省,2800,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230335.jpg,,,,,,,,,, +火烧兰,Epipactis helleborine,关克俭,陈艺林,1040,1959/8/15,山西,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0327466.jpg,,,,,,,,,, +火烧兰,Epipactis helleborine,徐文斌,王莹,SHI-2008255,20080812,新疆,1410,草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393875.jpg,,,,,,,,,, +大叶火烧兰,Epipactis mairei,熊厚溪,522401140903488 LY,20140903,贵州省,2009.2,,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0037594.jpg,,,,,,,,,, +大叶火烧兰,Epipactis mairei,戴天伦,101325,19580720,陕西省,1900,草坪中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230338.jpg,,,,,,,,,, +大叶火烧兰,Epipactis mairei,巴山采集队,6054,20120701,四川省,1220~1320,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059754.jpg,,,,,,,,,, +,Epipactis veratrifolia,Xiaohua Jin et Zhanghai Li,16377,20150814,云南省,1200~1400,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233026.jpg,,,,,,,,,, +,Epipactis veratrifolia,"Handel-Mazzetti, H.F.von",479,1914/3/9,,,,,,https://image.cvh.ac.cn/files/l/P/P00301683.jpg,,,,,,,,,, +裂唇虎舌兰,Epipogium aphyllum,金效华,9200,20070821,四川,4236,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825174.jpg,,,,,,,,,, +裂唇虎舌兰,Epipogium aphyllum,吴金清,508,19880916,湖北省,1750,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0144082.jpg,,,,,,,,,, +裂唇虎舌兰,Epipogium aphyllum,郭本兆,5718,1964/8/7,甘肃,2800,,腐生草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0482382.jpg,,,,,,,,,, +,Epipogium japonicum,Miyoshi Furuse,49730,19700929,,1500~1600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01126115.jpg,,,,,,,,,, +日本上须兰,Epipogium japonicum,西植采集队,2216,2002/8/22,陕西,1600,,腐生草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0482232.jpg,,,,,,,,,, +虎舌兰,Epipogium roseum,吴磊等,VN0024,20180520,室光NA Huang,,山坡密林,,有花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI067076.jpg,,,,,,,,,, +虎舌兰,Epipogium roseum,金效华,8976,20070514,云南省,1951,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825177.jpg,,,,,,,,,, +虎舌兰,Epipogium roseum,F.Melville,213,19590801,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01634346.jpg,,,,,,,,,, +绿萝,Epipremnum aureum,张迅,522230191123034LY,20191123,贵州,368,灌丛、湿生、阴性、中温、酸性土、野生植物,灌木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0103005.jpg,,,,,,,,,, +,Epipremnum aureum,王清江,766,19561031,福建省,,,藤本,无花无果,https://image.cvh.ac.cn/files/l/AU/002786.jpg,,,,,,,,,, +绿萝,Epipremnum aureum,陈进,20184365,20180419,贵州省,704,路边树上,,无花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0029725.jpg,,,,,,,,,, +麒麟叶,Epipremnum pinnatum,中苏队,5171,19570224,云南省,1300,沟底阴处密林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/02088731.jpg,,,,,,,,,, +麒麟叶,Epipremnum pinnatum,梁向日,61685,19320430,海南省 ,0,,草本 ,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0611876.jpg,,,,,,,,,, +麒麟尾,Epipremnum pinnatum,张华海.丁子林,34,19801026,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0013554.jpg,,,,,,,,,, +细叶卷柏,Equisetum arvense,秦忠时,864,19840516,北镇县,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/0171166.jpg,,,,,,,,,, +,Equisetum arvense,裘佩喜,4497,19730920,浙江省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00285811.jpg,,,,,,,,,, +问荆,Equisetum arvense,黄迎新,215,20150717,吉林省白城市,150,草甸/盐化低地草甸/草甸土,,无孢子囊,https://image.cvh.ac.cn/files/l/IFP/IFP0228309.jpg,,,,,,,,,, +披散木贼,Equisetum diffusum,伊廷双,伊-10606,20070913,四川,1980,村路边,山坡,,,https://image.cvh.ac.cn/files/l/KUN/1405687.jpg,,,,,,,,,, +披散木贼,Equisetum diffusum,王大兰,522230191123038LY,20191123,贵州,338,灌丛、湿生、阳性、微温、盐土、野生植物,一年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0101841.jpg,,,,,,,,,, +披散木贼,Equisetum diffusum,邓祥坤,98,,云南省 ,0,,草本,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/0802582.jpg,,,,,,,,,, +水问荆,Equisetum fluviatile,谢树莲,MH016,20060506,山西省,,,,无孢子囊,https://image.cvh.ac.cn/files/l/SXU/SD00019287.jpg,,,,,,,,,, +溪木贼,Equisetum fluviatile,李双智等,33-1-2-3,20150830,四川,3440,沼泽,多年生常绿草本,无花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0011287.jpg,,,,,,,,,, +溪木贼,Equisetum fluviatile,刘正宇,70648,20070817,重庆市,700,溪边草丛中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0000993.jpg,,,,,,,,,, +,Equisetum palustre,中德队,7460,19560716,黑龙江省,,落叶松林下湿地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00404334.jpg,,,,,,,,,, +,Equisetum palustre,"陈耀东,傅连中,马欣堂",2143,19881003,重庆市,1800,牧场草地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01595751.jpg,,,,,,,,,, +,Equisetum palustre,,s.n.,19570612,青海省,3210,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00404403.jpg,,,,,,,,,, +,Equisetum ramosissimum,黄河队,680,19540721,甘肃省,1200,旱田中,阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061148.jpg,,,,,,,,,, +,Equisetum ramosissimum,"张寿洲,李良千等",3809,20050727,广东省,50,海边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01808531.jpg,,,,,,,,,, +细叶卷柏,Equisetum ramosissimum,白城组,162,19590813,镇赉县,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/0086893.jpg,,,,,,,,,, +,Equisetum ramosissimum subsp. debile,"严岳鸿,邢福武",2765,20040711,澳门,60,水边,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01780976.jpg,,,,,,,,,, +笔管草,Equisetum ramosissimum subsp. debile,商辉、黄科瑞,SG0955,20150918,广西省,,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0096879.jpg,,,,,,,,,, +笔管草,Equisetum ramosissimum subsp. debile,金摄郎,JSL5489,20170804,安徽,116.5,河滩湿地,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0152081.jpg,,,,,,,,,, +大画眉草,Eragrostis cilianensis,"孙阎, 李鑫鑫",SunY293,20160710,黑龙江,482,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1458642.jpg,,,,,,,,,, +,Eragrostis cilianensis,,39,19640704,陕西省,1510,路旁土坡山,,无花无果,https://image.cvh.ac.cn/files/l/PE/01787454.jpg,,,,,,,,,, +大画眉草,Eragrostis cilianensis,H.W.Kung,2030,19310808,吉林省,340,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00520541.jpg,,,,,,,,,, +,Eragrostis elongata,,275,19381122,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0045756.jpg,,,,,,,,,, +双药画眉草,Eragrostis elongata,黄培祐,140,1964/4/4,海南,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00015754.jpg,,,,,,,,,, +双药画眉草,Eragrostis elongata,,6484,1926/7/7,福建; FUKIEN,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00015776.jpg,,,,,,,,,, +知风草,Eragrostis ferruginea,"熊济华,周子林",93529,19570900,重庆市,1600,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00504689.jpg,,,,,,,,,, +知风草,Eragrostis ferruginea,江西调查队,2513,19541011,江西省,120,路旁低草丛中旱田边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01574235.jpg,,,,,,,,,, +知风草,Eragrostis ferruginea,C.E.D.,1236,1936/8/8,江西; KIANGSI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00015790.jpg,,,,,,,,,, +小画眉草,Eragrostis minor,张相宜,李子宣,郭泳棂,Z-01-01-04-037,20210524,四川,1749,路边,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02071785.jpg,,,,,,,,,, +小画眉草,Eragrostis minor,李裕文 路端正,,19870801,宁夏,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00003568.jpg,,,,,,,,,, +小画眉草,Eragrostis minor,崔友文,896,19490908,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00505063.jpg,,,,,,,,,, +黑穗画眉草,Eragrostis nigra,"H.Li,S.X.Yang,R.Li etc.",1210,20021113,云南省,2480,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109676.jpg,,,,,,,,,, +黑穗画眉草,Eragrostis nigra,Tsang W.T.,22893,1933/9/9,广西; KWANGSI,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00015829.jpg,,,,,,,,,, +黑穗画眉草,Eragrostis nigra,钟扬,ZhongY1035,20110920,西藏,3700,路边,荒地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1401879.jpg,,,,,,,,,, +,Eragrostis nutans,"Peng hua,Liu Yanchun and et al.",32,20070701,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089271.jpg,,,,,,,,,, +,Eragrostis nutans,中越考察队,2103,19650209,,160,水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01665321.jpg,,,,,,,,,, +,Eragrostis nutans,C.L.Huang & C.M.Wang,38,20020526,福建省,20,open place,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088975.jpg,,,,,,,,,, +画眉草,Eragrostis pilosa,傅坤俊,7364,1953/8/24,陕西,1350,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0072003.jpg,,,,,,,,,, +无毛画眉草,Eragrostis pilosa,Tsang W.T.,28116,1937/8/8,广西; KIANGSI,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00015880.jpg,,,,,,,,,, +画眉草,Eragrostis pilosa,郭成勇,15014-1,20020808,山东省,50,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929370.jpg,,,,,,,,,, +鲫鱼草,Eragrostis tenella,雁山区普查队,450311190616028LY,20190616,广西,155,草丛,路旁,黄棕壤;一般;野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00425095.jpg,,,,,,,,,, +鲫鱼草,Eragrostis tenella,吴金清殷小霞,6812,20050906,湖北省,400,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0133348.jpg,,,,,,,,,, +鲫鱼草,Eragrostis tenella,,,,广东; KWANGTUNG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00015437.jpg,,,,,,,,,, +牛虱草,Eragrostis unioloides,W.T.Tsang,29495,1939-09-,东京,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0113003.jpg,,,,,,,,,, +牛虱草,Eragrostis unioloides,中越考察队,2606,19650223,凉山,0,路边水塘边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/248174.jpg,,,,,,,,,, +牛虱草,Eragrostis unioloides,Shiu Ying Hu,8678,19691111,香港,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00505834.jpg,,,,,,,,,, +白花菟葵,Eranthis albiflora,"T.Naito,K.Y.Lang,Y.Tateishi,T.Nemoto & B.S.Li",196,19860426,四川省,1700~2050,In the grasses at the margin of mixed forest in gorge,,无花有果,https://image.cvh.ac.cn/files/l/PE/00397614.jpg,,,,,,,,,, +白花菟葵,Eranthis albiflora,陈介,1205,19740328,吉林省,0,疏林下坡地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/365178.jpg,,,,,,,,,, +浅裂菟葵,Eranthis lobulata,G.Schaller,38,19810400,四川省,2500,clearing in birch forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00397615.jpg,,,,,,,,,, +浅裂菟葵,Eranthis lobulata,印开蒲,YKP2019427,20190427,四川,2746,峨眉冷杉林下,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0246273.jpg,,,,,,,,,, +独尾草,Eremurus chinensis,孙航,李新辉,陈林杨等,SunH-07ZX-2962,20100929,云南,2046,干热河谷,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1391807.jpg,,,,,,,,,, +独尾草,Eremurus chinensis,青藏队植被组,8856,19760703,西藏自治区,2900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532624.jpg,,,,,,,,,, +独尾草,Eremurus chinensis,王作宾,19070,1964/4/27,甘肃,1000,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0227438.jpg,,,,,,,,,, +,Eria bancana,,,,,,,,,,,,,,,,,,, +匍茎毛兰,Eria clausa,"方鼎,覃德海",79854,19860314,,1200,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI052653.jpg,,,,,,,,,, +匍茎毛兰,Eria clausa,金效华,537,20000900,贵州省,1100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01820855.jpg,,,,,,,,,, +匍茎毛兰,Eria clausa,金效华,10861,20110423,云南省,1540,subtropical evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033046.jpg,,,,,,,,,, +半柱毛兰,Eria corneri,Tsang W.T.,24821,1934-12-,广西; KWANGSI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00029345.jpg,,,,,,,,,, +半柱毛兰,Eria corneri,金效华,5044,20031003,海南省,1000~700,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01855668.jpg,,,,,,,,,, +半柱毛兰,Eria corneri,中越考察队,886,19641225,永福,780,老岗岩石上,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0021723.jpg,,,,,,,,,, +足茎毛兰,Eria coronaria,刘心祈,25433,19360224,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00145672.jpg,,,,,,,,,, +,Eria coronaria,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11912,20161115,西藏,1848,中山湿性常绿阔叶林,附生植物,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445589.jpg,,,,,,,,,, +足茎毛兰,Eria coronaria,H.T.Tsai,59047,19341029,云南省 ,0~2000,,herb,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0626798.jpg,,,,,,,,,, +香港毛兰,Eria gagnepainii,何海文,杨锦超,YangXF0323,20130707,广西,412,北热带半常绿季雨林、湿润雨林地带喜生的密林中树干上、石上,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1393899.jpg,,,,,,,,,, +香港毛兰,Eria gagnepainii,"方鼎,陈秀香",35147,19750312,,700,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI048238.jpg,,,,,,,,,, +香港毛兰,Eria gagnepainii,金效华,8912,20070302,海南,676,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825182.jpg,,,,,,,,,, +,Eria gracilicauis,,,,,,,,,,,,,,,,,,, +香花毛兰,Eria javanica,吉占和,91-248,19910805,云南省,600,林中,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00851240.jpg,,,,,,,,,, +香花毛兰,Eria javanica,,14,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0626820.jpg,,,,,,,,,, +香花毛兰,Eria javanica,李剑武,4564,20160808,云南,720,石灰山,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029044.jpg,,,,,,,,,, +,Eria kamlangensis,,,,,,,,,,,,,,,,,,, +墨脱毛兰,Eria medogensis,陈伟烈等,s.n.,19800700,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00338768.jpg,,,,,,,,,, +墨脱毛兰,Eria medogensis,刘演、许为斌,129,20060913,广西壮族自治区,800,石灰岩山坡阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00223366.jpg,,,,,,,,,, +,Eria paniculata,金效华,9014,20070614,云南省,1100~1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825197.jpg,,,,,,,,,, +,Eria paniculata,金效华,9014,20070614,云南,1100~1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825197.jpg,,,,,,,,,, +,Eria pudica,吉占和,71-60,19910710,云南省,1500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850001.jpg,,,,,,,,,, +版纳毛兰,Eria pudica,李剑武,3482,20130717,云南,900,沟谷林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028491.jpg,,,,,,,,,, +,Eria tenuicaulis,,,,,,,,,,,,,,,,,,, +,Eria vittata,"李渤生,程树志",2452,19830109,西藏自治区,1600,雅江沟谷东坡 Cahy林下石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517106.jpg,,,,,,,,,, +,Erigeron kiukiangensis,T. T. Yu,19498,1938/7/29,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00122836.jpg,,,,,,,,,, +俅江飞蓬,Erigeron kiukiangensis,青藏队,6023,19810901,四川省,3500,山坡云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111066.jpg,,,,,,,,,, +俅江飞蓬,Erigeron kiukiangensis,王启无C. W. Wang,66767,19350900,云南,3800,"mt, slope",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219509.jpg,,,,,,,,,, +贡山飞蓬,Erigeron kunshanensis,K.M.Feng,7847,19400920,云南省,3800,多石之草坝中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00247145.jpg,,,,,,,,,, +贡山飞蓬,Erigeron kunshanensis,穆仲龙,20092059,20090610,贵州省,1000,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0013929.jpg,,,,,,,,,, +贡山飞蓬,Erigeron kunshanensis,冯国楣,7847,19400920,云南,3800,多石之草坝中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219507.jpg,,,,,,,,,, +棉毛飞蓬,Erigeron lanuginosus,FLPH Tibet Expedition,12-1615,20120919,西藏自治区,3774,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967441.jpg,,,,,,,,,, +棉毛飞蓬,Erigeron lanuginosus,"李渤生,程树志,倪志诚",5834,19830725,西藏,4400,高山灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824699.jpg,,,,,,,,,, +白舌飞蓬,Erigeron leucoglossus,泛喜马拉雅植物志巴基斯坦采集队,FPH-0728,20120624,,3800~4010,"Forest(Picea,Abies,Pinus),Alpine meadow",,有花无果,https://image.cvh.ac.cn/files/l/PE/02004548.jpg,,,,,,,,,, +白舌飞蓬,Erigeron leucoglossus,"张永田,郞楷永",1356,19650807,西藏自治区,3350,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00247155.jpg,,,,,,,,,, +密叶飞蓬,Erigeron multifolius,俞德俊,9143,19370725,云南省 ,0~4100,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0600112.jpg,,,,,,,,,, +密叶飞蓬,Erigeron multifolius,白洪兵、李红,533324180922993LY,20180922,云南,3850,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010041.jpg,,,,,,,,,, +多叶飞蓬,Erigeron multifolius,第四组(97林),957,19980606,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0016271.jpg,,,,,,,,,, +紫苞飞蓬,Erigeron porphyrolepis,倪志诚等,1520,19800906,西藏自治区,4000,冰碛侧碛物土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803822.jpg,,,,,,,,,, +紫苞飞蓬,Erigeron porphyrolepis,钟补求,6959,19520725,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00247451.jpg,,,,,,,,,, +紫苞飞蓬,Erigeron porphyrolepis,"张挺, 张书东, 郭永杰",13CS7592,20130526,西藏,,无,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1395718.jpg,,,,,,,,,, +紫茎飞蓬,Erigeron purpurascens,陈心启等,1265,19820610,,300,林下 开旷处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01315980.jpg,,,,,,,,,, +紫茎飞蓬,Erigeron purpurascens,胡文光 何铸,11076,19510901,四川省,,,小草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00247493.jpg,,,,,,,,,, +,Erigeron purpurascens,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-122-B04,20190816,四川,3662,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261655.jpg,,,,,,,,,, +细茎飞蓬,Erigeron tenuicaulis,T.T.Yu,5923,19370603,四川省,2200,upon sunny & rocky slope,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00247561.jpg,,,,,,,,,, +,Erigeron tenuicaulis,T. T. Yu,5923,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00122821.jpg,,,,,,,,,, +细茎飞蓬,Erigeron tenuicaulis,T.T. Yü (俞德浚),5923,19370603,四川,2200,Upon sunny & rocky slope,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219498.jpg,,,,,,,,,, +高山谷精草,Eriocaulon alpestre,大瑶山综考队,13054,19811101,广西壮族自治区,0~700,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0635070.jpg,,,,,,,,,, +高山谷精草,Eriocaulon alpestre,,11523,,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0635071.jpg,,,,,,,,,, +,Eriocaulon alpestre,岛津制作所标本部,349,19080923,东京,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0048978.jpg,,,,,,,,,, +云南谷精草,Eriocaulon brownianum,俞德浚,18025,19381011,云南省,2700,in swump,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0333910.jpg,,,,,,,,,, +云南谷精草,Eriocaulon brownianum,G.Davidse et al.,8701,19741121,,1400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01713099.jpg,,,,,,,,,, +云南谷精草,Eriocaulon brownianum,谭沛祥,59009,19580812,广东省,0~760,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0635107.jpg,,,,,,,,,, +谷精草,Eriocaulon buergerianum,安江农校,564,19530418,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236148.jpg,,,,,,,,,, +谷精草,Eriocaulon buergerianum,刘英光,2937,19581103,广东省,400,山坡、路旁、水旁、山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/02236133.jpg,,,,,,,,,, +谷精草,Eriocaulon buergerianum,"丁广奇,余连",6082,1980/11/19,广东,,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0426542.jpg,,,,,,,,,, +白药谷精草,Eriocaulon cinereum,苏宋旺,403,19580814,上海市,,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ057239.jpg,,,,,,,,,, +白药谷精草,Eriocaulon cinereum,萧百中,4637,20050901,湖南省,480,山麓 红壤 光 阴 湿度 湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/01704494.jpg,,,,,,,,,, +白药谷精草,Eriocaulon cinereum,华南队,1502,19890913,广西壮族自治区,400,山地田野,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109446.jpg,,,,,,,,,, +,Eriocaulon leianthum,,,,,,,,,,,,,,,,,,, +,Eriocaulon minusculum,,,,,,,,,,,,,,,,,,, +尼泊尔谷精草,Eriocaulon nepalense,资源县普查队,450329160811003LY,20160811,广西,915,水稻土,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0172742.jpg,,,,,,,,,, +尼泊尔谷精草,Eriocaulon nepalense,资源县普查队,450329160811003LY,20160811,广西壮族自治区,915,水稻土,多见野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00404457.jpg,,,,,,,,,, +尼泊尔谷精草,Eriocaulon nepalense,"胡君,熊豫宁,伍小刚,王东超",HJ05221,20151018,西藏自治区,1600,干枯稻田中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00590008.jpg,,,,,,,,,, +,Eriocaulon nepalense var. luzulifolium,,,,,,,,,,,,,,,,,,, +,Eriocaulon rockianum,,,,,,,,,,,,,,,,,,, +大药谷精草,Eriocaulon sollyanum,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T207,20160915,西藏自治区,1524,temperate alpine region,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02233087.jpg,,,,,,,,,, +大药谷精草,Eriocaulon sollyanum,罗忠华,刘长铭,李绍昆,鲁成荣,JDNR09076,20091118,云南,2450,中山湿性常绿阔叶林林间湿地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390730.jpg,,,,,,,,,, +大药谷精草,Eriocaulon sollyanum,,,19870710,云南省,2200,路边,湿处,,,https://image.cvh.ac.cn/files/l/KUN/334099.jpg,,,,,,,,,, +毛梗兰,Eriodes barbata,中苏队,5448,19570301,云南省,1300,阴处路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230476.jpg,,,,,,,,,, +毛梗兰,Eriodes barbata,G.Forrest,9303,19120000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0627012.jpg,,,,,,,,,, +毛梗兰,Eriodes barbata,亚吉东,韩周东,19CS18657,20191219,云南,1447,针阔混交林下,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1506088.jpg,,,,,,,,,, +,Erioscirpus comosus,,,,,,,,,,,,,,,,,,, +针刺齿缘草,Eritrichium acicularum,钟补求,8947,19580712,青海省,,南向坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01360352.jpg,,,,,,,,,, +针刺齿缘草,Eritrichium acicularum,何业琪,3945,19590709,甘肃省,2450,水沟旁山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029609.jpg,,,,,,,,,, +狭叶齿缘草,Eritrichium angustifolium,西藏中草药普查队,4371,19720823,西藏自治区,,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01360774.jpg,,,,,,,,,, +腋花齿缘草,Eritrichium axillare,"T.N.Ho,B.Bartholomew,M.Watson etc.",3048,19960911,青海省,4300,shallow valley with heavily grazed Kobresia meadow locally eroded bottom of valley with hummocked meadow near stream in disturbed area near road,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110381.jpg,,,,,,,,,, +腋花齿缘草,Eritrichium axillare,陶德定,11265,19760906,西藏自治区,4800,公路边草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029649.jpg,,,,,,,,,, +腋花齿缘草,Eritrichium axillare,郝加琛,周瑜,161238,20160821,四川省,,草丛,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0040792.jpg,,,,,,,,,, +三角德钦齿缘草,Eritrichium deqinense,"D.E.Boufford,J.H.Chen,S.L.Kelley etc.",30909,20040719,四川省,4200~4400,rocky gravelly slopes with patches of Rhododendron forests and rhododendron salix and larix scrub and open places scree slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110421.jpg,,,,,,,,,, +三角德钦齿缘草,Eritrichium deqinense,青藏队,3029,19810714,云南省,4600,山坡陡岩上,草本丛生,有花无果,https://image.cvh.ac.cn/files/l/PE/00029606.jpg,,,,,,,,,, +德钦齿缘草,Eritrichium deqinense,青藏队,3029,19810714,云南,4000,山坡陡岩上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0308896.jpg,,,,,,,,,, +云南齿缘草,Eritrichium echinocaryum,张志和等,4243,19890727,青海省,2700,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01913759.jpg,,,,,,,,,, +云南齿缘草,Eritrichium echinocaryum,王启无,70292,19350900,云南省,2700,Open slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/01338120.jpg,,,,,,,,,, +云南齿缘草,Eritrichium echinocaryum,郝加琛、周瑜,15578,20150816,西藏自治区,3508,石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0040572.jpg,,,,,,,,,, +条叶齿缘草,Eritrichium gracile,青藏队,76-7846,19760620,西藏自治区,4600,山坡流石坡岩石荫处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110782.jpg,,,,,,,,,, +半球齿缘草,Eritrichium hemisphaericum,青藏队,6592,19750806,西藏自治区,5750,彭错拉山口岩屑坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110760.jpg,,,,,,,,,, +半球齿缘草,Eritrichium hemisphaericum,"张永洪, 王晓雄, 周卓, 岳亮亮",SunH-07ZX-0498,20080720,西藏,,高山草甸与高山灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1380670.jpg,,,,,,,,,, +半球齿缘草,Eritrichium hemisphaericum,杨永昌,982,196507??,青海省,5000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/12589.jpg,,,,,,,,,, +异果齿缘草,Eritrichium heterocarpum,"D.E.Boufford,J.F.Harber & Qia Wang",43139,20130820,云南省,3350,slopes along highway mostly dwarf evergreen Quercus with spinescent shrubs stony soil on slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064720.jpg,,,,,,,,,, +异果齿缘草,Eritrichium heterocarpum,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",64,19930721,青海省,3100~3200,"Steep crumbling mudstone slopes,some rocky outcrops near river",,有花无果,https://image.cvh.ac.cn/files/l/PE/01360778.jpg,,,,,,,,,, +异果齿缘草,Eritrichium heterocarpum,K.T. Fu,1272,,,,,,有花有果,https://image.cvh.ac.cn/files/l/WUK/0021065.jpg,,,,,,,,,, +矮齿缘草,Eritrichium humillimum,苟新京,85-125,19830808,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0216073.jpg,,,,,,,,,, +矮齿缘草,Eritrichium humillimum,青藏冻土植物队,17,19750630,西藏自治区,5050,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/54230.jpg,,,,,,,,,, +矮齿缘草,Eritrichium humillimum,刘全儒,20200924020,20200924,青海,3800,高寒草甸,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0054010.jpg,,,,,,,,,, +康定齿缘草,Eritrichium kangdingense,王清泉,20632,1979-7 2,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0119224.jpg,,,,,,,,,, +康定齿缘草,Eritrichium kangdingense,高信芬,鞠文彬,郑臣臣,THP-KD-5933,20170810,四川,3797,冰川砾石堆,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251517.jpg,,,,,,,,,, +毛果齿缘草,Eritrichium lasiocarpum,青藏队植被组,12336,19760824,西藏自治区,5000,石灰岩山石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803176.jpg,,,,,,,,,, +毛果齿缘草,Eritrichium lasiocarpum,青藏队,6781,19750820,西藏,4600,山坡岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1218641.jpg,,,,,,,,,, +疏花齿缘草,Eritrichium laxum,杨永昌,1129,19650709,青海省,4500,石灰岩洞穴内阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01338137.jpg,,,,,,,,,, +疏花齿缘草,Eritrichium laxum,青藏队植被组,5909,19750820,西藏自治区,4700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061262.jpg,,,,,,,,,, +,Eritrichium laxum,"Ludlow, Frank: Sherriff, George & Taylor, George",5619,21-Jun-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00288380.jpg,,,,,,,,,, +,Eritrichium longifolium,中国科学院新疆综合考察队,9895,19590715,新疆维吾尔自治区,,山坡上部北8-10度 细质土 云杉外缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110759.jpg,,,,,,,,,, +长梗齿缘草,Eritrichium longipes,"陈伟烈,陈家瑞,郭柯,闫建平",7107,19840701,四川省,3700,阴坡岩石,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110730.jpg,,,,,,,,,, +长梗齿缘草,Eritrichium longipes,"罗达尚,左振常等",800109,19800620,青海省,3870,山麓林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110731.jpg,,,,,,,,,, +青海齿缘草,Eritrichium medicarpum,钟补求,8455,1958/7/10,,,,,有花有果,https://image.cvh.ac.cn/files/l/WUK/0100264.jpg,,,,,,,,,, +青海齿缘草,Eritrichium medicarpum,秦志业,10017,19620629,西藏自治区,5150,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/27730.jpg,,,,,,,,,, +青海齿缘草,Eritrichium medicarpum,"郭本兆,王为义",11468,19750719,青海省,3400,灌木下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110735.jpg,,,,,,,,,, +篦毛齿缘草,Eritrichium pectinatociliatum,,86,19550703,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0040779.jpg,,,,,,,,,, +篦毛齿缘草,Eritrichium pectinatociliatum,"张永洪, 王晓雄, 周卓, 岳亮亮等",SunH-07ZX-0487,20080720,西藏,,高山草甸与高山灌丛,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1380671.jpg,,,,,,,,,, +,Eritrichium pectinatociliatum,Licent,8220,19270702,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00049270.jpg,,,,,,,,,, +具柄齿缘草,Eritrichium petiolare,关克俭,1348,19570712,新疆维吾尔自治区,,河谷,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00241502.jpg,,,,,,,,,, +,Eritrichium petiolare,,,,,,,,,,,,,,,,,,, +具柄齿缘草,Eritrichium petiolare,关克俭,1810,19570724,新疆维吾尔自治区 ,,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00241641.jpg,,,,,,,,,, +珠峰齿缘草,Eritrichium qofengense,青藏队,76-8664,19760816,西藏自治区,5500,高山草甸岩石阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01338174.jpg,,,,,,,,,, +珠峰齿缘草,Eritrichium qofengense,"徐波, 陈光富, 陈林杨, 董金龙等",SunH-07ZX-0229,20080718,西藏,,高山灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1380673.jpg,,,,,,,,,, +无梗齿缘草,Eritrichium sessilifructum,Anonymous,870868,19870706,新疆维吾尔自治区,2800,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913762.jpg,,,,,,,,,, +,Eritrichium sessilifructum,,,,,,,,,,,,,,,,,,, +小果齿缘草,Eritrichium sinomicrocarpum,郝加琛,XZ14528,20140727,西藏自治区,5261,山坡石缝,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0040964.jpg,,,,,,,,,, +唐古拉齿缘草,Eritrichium tangkulaense,相金祥,2405,19630810,西藏自治区,5100,山坡石隙,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110725.jpg,,,,,,,,,, +唐古拉齿缘草,Eritrichium tangkulaense,刘全儒,ALT.272,20140728,新疆省,4179,沙漠,草本,,https://image.cvh.ac.cn/files/l/BNU/0027514.jpg,,,,,,,,,, +唐古拉齿缘草,Eritrichium tangkulaense,Hoo et Wang,12494,1941/8/8,甘肃省,3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0079774.jpg,,,,,,,,,, +,Erysimum forrestii,张挺,郭永杰,刘成等,10CS2308,20100808,云南,4159,"Loose, rocky scree, SW-facing slope 45°",多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1235781.jpg,,,,,,,,,, +匍匐糖芥,Erysimum forrestii,中甸队,2050,19620916,云南省,4400,高山,草甸,砂处,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0498461.jpg,,,,,,,,,, +,Erysimum forrestii,"Forrest, George",6518,10-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00083313.jpg,,,,,,,,,, +无茎糖芥,Erysimum handel-mazzettii,青藏队,5002,19810818,四川省,4800,山坡流石滩,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0498500.jpg,,,,,,,,,, +无茎糖芥,Erysimum handel-mazzettii,张启泰,俞绍文,508A,19810610,云南省,4290,高山流石滩地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0498496.jpg,,,,,,,,,, +无茎糖芥,Erysimum handel-mazzettii,农大,11,19760622,西藏自治区,5000,旱,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995421.jpg,,,,,,,,,, +红紫糖芥,Erysimum roseum,,3531,19740618,西藏自治区,4600,山坡垫状草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0498573.jpg,,,,,,,,,, +红紫糖芥,Erysimum roseum,"朱鑫鑫,安宇梦",ZXX18134,20180618,青海,3605,高原亚寒带高山灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1438504.jpg,,,,,,,,,, +红紫糖芥,Erysimum roseum,"郭本兆,王为义",12350,19750902,青海省,4000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01054502.jpg,,,,,,,,,, +具苞糖芥,Erysimum wardii,俞德俊,10791,19371126,云南省,4100,Mt.grassy slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/01054425.jpg,,,,,,,,,, +具苞糖芥,Erysimum wardii,PE西藏考察队,7386,20180616,西藏自治区,3934,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332932.jpg,,,,,,,,,, +,Erysimum wardii,"Kingdon-Ward, F.",67,,,,,,,https://image.cvh.ac.cn/files/l/E/E00083312.jpg,,,,,,,,,, +,Erythrodes hirsuta,,,,,,,,,,,,,,,,,,, +口盖花蜘蛛兰,Esmeralda bella,吉占和,92-500,19920605,云南省,1750,密林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850254.jpg,,,,,,,,,, +口盖花蜘蛛兰,Esmeralda bella,"李渤生,程树志",2755,19830206,西藏自治区,1600,山坡常绿阔叶林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00338952.jpg,,,,,,,,,, +口盖花蜘蛛兰,Esmeralda bella,税玉民,陈文红等,73133,20071110,云南,1800,沟谷苔藓林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393901.jpg,,,,,,,,,, +,Esmeralda cathcartii,,,,,,,,,,,,,,,,,,, +花蜘蛛兰,Esmeralda clarkei,邱炳云,52664,19561004,云南省,1700,干燥,树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00338971.jpg,,,,,,,,,, +花蜘蛛兰,Esmeralda clarkei,"刘成, 张挺, 亚吉东, 杨俊波",17CS15948,20170907,海南,1055,林中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1450865.jpg,,,,,,,,,, +花蜘蛛兰,Esmeralda clarkei,"吉占和,孟文江",17,19771100,海南省,1000,山谷河边,附生树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00338969.jpg,,,,,,,,,, +,Eucosia viridiflora,,,,,,,,,,,,,,,,,,, +银丝金茅,Eulalia mollis,T.N.Liou,L.6303,19321203,,578,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01848793.jpg,,,,,,,,,, +银丝金茅,Eulalia mollis,"张永田,郞楷永",822,19650700,西藏自治区,2100,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520482.jpg,,,,,,,,,, +银丝金茅,Eulalia mollis,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201376,20200731,西藏,2303,荒地石缝中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1506780.jpg,,,,,,,,,, +四脉金茅,Eulalia quadrinervis,武夷科考队,801981,19801020,福建,1500,杂木林下,草本,无花有果,https://image.cvh.ac.cn/files/l/FJIDC/FJIDC018212.jpg,,,,,,,,,, +四脉金茅,Eulalia quadrinervis,"李渤生,程树志",1820,19821114,西藏自治区,1700~2200,松林下优势草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854489.jpg,,,,,,,,,, +四脉金茅,Eulalia quadrinervis,贺贤育,28235,1957/9/21,浙江,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0184251.jpg,,,,,,,,,, +云南金茅,Eulalia yunnanensis,邓敏,DM5214,20130803,西藏自治区,3604,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0002398.jpg,,,,,,,,,, +,Eulalia yunnanensis,胡君、李丽、吴宏蓉、唐双磊、薛金瑞、党喜军,SC-a-100-B52,20190723,云南,2331,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261911.jpg,,,,,,,,,, +金茅,Eulalia yunnanensis,曾宪锋,ZXF41149,20181019,福建,487,山谷草地,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0036415.jpg,,,,,,,,,, +台湾美冠兰,Eulophia bicallosa,陈邦余、张桂才,502,19830528,广东省,0,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0627057.jpg,,,,,,,,,, +台湾美冠兰,Eulophia bicallosa,张桂才,584,19880624,湖南省,0~600,,直立草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0627054.jpg,,,,,,,,,, +台湾美冠兰,Eulophia bicallosa,侯宽昭,72428,19350510,海南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0627055.jpg,,,,,,,,,, +,Eulophia dabia,邓朝义,D2375,19880622,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032817.jpg,,,,,,,,,, +,Eulophia dabia,吴应祥,2105,19650510,河南省,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911419.jpg,,,,,,,,,, +长距美冠兰,Eulophia dabia,李思峰、黎斌、张莹等,17150,20120414,陕西省,440,疏林下,,有花无果,https://image.cvh.ac.cn/files/l/XBGH/002806.jpg,,,,,,,,,, +紫花美冠兰,Eulophia spectabilis,金效华,6950,20050501,云南,1100,In linestore forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825205.jpg,,,,,,,,,, +紫花美冠兰,Eulophia spectabilis,H.T.Tsai,53272,19330422,云南省 ,0~1430,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0627049.jpg,,,,,,,,,, +紫花美冠兰,Eulophia spectabilis,236任务组,1234,19700617,江西省,600,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00338993.jpg,,,,,,,,,, +无叶美冠兰,Eulophia zollingeri,"李明生,李振宇等",5036,19860701,福建省,400,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00339006.jpg,,,,,,,,,, +无叶美冠兰,Eulophia zollingeri,雁山区普查队,450311190615029LY,20190615,广西,307,阔叶林,林下,石灰土;偶见;野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00425070.jpg,,,,,,,,,, +无叶美冠兰,Eulophia zollingeri,夏江林,201833,20180606,湖南,,山地,腐生植物,有花无果,https://image.cvh.ac.cn/files/l/NYA/NYA0010757.jpg,,,,,,,,,, +,Euonymus clivicolus,,,,,,,,,,,,,,,,,,, +,Euonymus lichiangensis,,,,,,,,,,,,,,,,,,, +,Euonymus ternifolius,,,,,,,,,,,,,,,,,,, +,Euphorbia heishuiensis,,,,,,,,,,,,,,,,,,, +大果柃,Eurya chukiangensis,王启无,67441,193510,云南省,2200,Under forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/57665.jpg,,,,,,,,,, +厚叶柃,Eurya crassilimba,,2365,19740905,西藏自治区,2500,铁杉林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/01432042.jpg,,,,,,,,,, +,Eurya crassilimba,刘成,张挺,张书东,13CS6528,20130531,西藏,2660,云杉针叶林林缘路边,小乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321989.jpg,,,,,,,,,, +厚叶柃,Eurya crassilimba,张冰明,1904,19510425,广东,,灌木,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00026470.jpg,,,,,,,,,, +,Eurya gracilipes,,,,,,,,,,,,,,,,,,, +,Eurya gungshanensis,李恒,李嵘,刀志灵,908,20070928,云南,1500,次生常绿阔叶林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1250841.jpg,,,,,,,,,, +,Eurya gungshanensis,,,,,,,,,,,,,,,,,,, +贡山柃,Eurya gungshanensis,"刘成, 亚吉东",18CS17290,20181126,西藏,1722,常绿阔叶林林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487445.jpg,,,,,,,,,, +丽江柃,Eurya handel-mazzettii,王汉臣,4124,19451024,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0258639.jpg,,,,,,,,,, +丽江柃,Eurya handel-mazzettii,780植被组,503,19781120,云南省,2500,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486775.jpg,,,,,,,,,, +丽江柃,Eurya handel-mazzettii,青藏队,11609,19830627,四川省,2200,山沟 常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01129034.jpg,,,,,,,,,, +尖齿叶柃,Eurya perserrata,T.T.Yu,21035,19381121,云南省,2500,in dense mixed forest,shrub,有花无果,https://image.cvh.ac.cn/files/l/PE/01432827.jpg,,,,,,,,,, +,Eurya perserrata,"Yü, Tse-tsun",21035,21-Nov-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00117669.jpg,,,,,,,,,, +独龙柃,Eurya taronensis,T.T.Yu,20983,19381105,云南省 ,2400,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0276357.jpg,,,,,,,,,, +,Eurya taronensis,陆露,Peter W Fritsch,张永彪,张明英,陈小涛,WH-2013-189,20130916,云南,2500,常绿阔叶林季风性沟谷雨林下,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1321721.jpg,,,,,,,,,, +独龙柃,Eurya taronensis,孙航,周浙昆等,ETM-0944,19921028,西藏自治区,2000,in shrub forest,,有果无花,https://image.cvh.ac.cn/files/l/KUN/450525.jpg,,,,,,,,,, +蔡氏柃,Eurya tsaii,"程树志,李渤生",206,19820818,西藏自治区,2500,铁杉林下及常绿阔叶林下常见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01495328.jpg,,,,,,,,,, +怒江柃,Eurya tsaii,张清龙,64076,19640715,四川省,2000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0276472.jpg,,,,,,,,,, +怒江柃,Eurya tsaii,蔡希陶,57613,0,海南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/450762.jpg,,,,,,,,,, +泉山嵛菜,Eutrema fontanum,张挺,刘成,何华杰,19CS18700,20190908,西藏,4860,高山草甸,一年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1505889.jpg,,,,,,,,,, +,Eutrema verticillatum,D.E.Boufford et al.,35995,20060807,四川省,4330~4400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898990.jpg,,,,,,,,,, +,Eutrema verticillatum,C.W.Wang,66067,19350800,西藏自治区,3800,Clacials,,有花有果,https://image.cvh.ac.cn/files/l/PE/01123489.jpg,,,,,,,,,, +,Eutrema verticillatum,青藏队,2756,19810714,云南省,4500,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01109572.jpg,,,,,,,,,, +光滑花佩菊,Faberia thibetica,中国西部科学院,3697,19360000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01711688.jpg,,,,,,,,,, +光滑花佩菊,Faberia thibetica,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0601239.jpg,,,,,,,,,, +,Faberia thibetica,彭玉兰、余奇、李林霖,THP-KD-1399,20170617,四川,3768~4150,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251296.jpg,,,,,,,,,, +尖鞘箭竹,Fargesia acuticontracta,海仙、方震东、刘琳、马宗灵,FW2009-018,20090401,云南省,2409,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001597.jpg,,,,,,,,,, +贴毛箭竹,Fargesia adpressa,张宪智,ZXZ11054,20110620,四川省,2564,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252846.jpg,,,,,,,,,, +油竹子,Fargesia angustissima,王雪芹,wxq014,20101210,四川省,1592,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1253066.jpg,,,,,,,,,, +油竹子,Fargesia angustissima,易同培,74450,19740922,四川,,,,,https://image.cvh.ac.cn/files/l/BJM/144142.jpg,,,,,,,,,, +岩斑竹,Fargesia canaliculata,张宪智,ZXZ11052,20110619,四川省,1483,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252847.jpg,,,,,,,,,, +岩斑竹,Fargesia canaliculata,王雪芹,WXQ106,20111210,云南省,2200,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1253550.jpg,,,,,,,,,, +马亨稍竹,Fargesia communis,王雪芹,WXQ060,20111113,云南省,2906,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252923.jpg,,,,,,,,,, +,Fargesia contracta,,,,,,,,,,,,,,,,,,, +,Fargesia daminiu,张中原,200811613,20080611,贵州省,1100,河边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0011310.jpg,,,,,,,,,, +缺苞箭竹,Fargesia denudata,易同培,75556,19750923,四川,,,,,https://image.cvh.ac.cn/files/l/BJM/144144.jpg,,,,,,,,,, +,Fargesia dulcicula,,,,,,,,,,,,,,,,,,, +马斯箭竹,Fargesia dura,张玉霄,马朋飞,13062,20131102,云南省,2300,林下,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1248529.jpg,,,,,,,,,, +,Fargesia elegans,,,,,,,,,,,,,,,,,,, +牛麻箭竹,Fargesia emaculata,伊廷双,孟静,杨杨,伊-10585,20070913,四川,2940,路边,,,https://image.cvh.ac.cn/files/l/KUN/1402091.jpg,,,,,,,,,, +,Fargesia exposita,,,,,,,,,,,,,,,,,,, +,Fargesia extensa,,,,,,,,,,,,,,,,,,, +,Fargesia farcta,,,,,,,,,,,,,,,,,,, +,Fargesia glabrifolia,,,,,,,,,,,,,,,,,,, +贡山箭竹,Fargesia gongshanensis,方震东、和光,D-0530,20031027,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007536.jpg,,,,,,,,,, +错那箭竹,Fargesia grossa,扎西次仁,西落,ZhongY580,20091008,西藏,2678,河谷针阔混交林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402093.jpg,,,,,,,,,, +,Fargesia jiulongensis,,,,,,,,,,,,,,,,,,, +泸水箭竹,Fargesia lushuiensis,张宪智,ZXZ11007,20110507,云南省,2010,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1253013.jpg,,,,,,,,,, +,Fargesia macclureana,,,,,,,,,,,,,,,,,,, +黑穗箭竹,Fargesia melanostachys,张宪智,ZXZ11028,20110519,云南省,3077,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252863.jpg,,,,,,,,,, +黑穗箭竹,Fargesia melanostachys,方震东、和光、杨亲二,XZ-676,20070006,西藏自治区,3137,油麦吊云杉林,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 003845.jpg,,,,,,,,,, +黑穗箭竹,Fargesia melanostachys,李红、白洪兵,533324180909768LY,20180909,云南,3414,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009773.jpg,,,,,,,,,, +,Fargesia nitida,,,,,,,,,,,,,,,,,,, +,Fargesia nitida,卢炯林,79,19790816,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644431.jpg,,,,,,,,,, +,Fargesia nitida,"倪志诚,汪永泽,次多,次旦",750,19800725,西藏自治区,2100,河边针阔混交林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01512389.jpg,,,,,,,,,, +,Fargesia obliqua,,,,,,,,,,,,,,,,,,, +长圆鞘箭竹,Fargesia orbiculata,伊廷双,孟静,杨杨,伊-10362,20070908,云南,2889,山路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402096.jpg,,,,,,,,,, +皱壳箭竹,Fargesia pleniculmis,张宪智,ZXZ11024,20110515,云南省,2626,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252997.jpg,,,,,,,,,, +,Fargesia praecipua,,,,,,,,,,,,,,,,,,, +,Fargesia purpurea,,,,,,,,,,,,,,,,,,, +拐棍竹,Fargesia robusta,刘正宇、张军等,S-0335,20161219,重庆,762,林下,竹类,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051135.jpg,,,,,,,,,, +拐棍竹,Fargesia robusta,易同培,74471,19740923,四川,,,,,https://image.cvh.ac.cn/files/l/BJM/144146.jpg,,,,,,,,,, +,Fargesia robusta,王雪芹,wxq013,20101209,四川省,2446,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1253015.jpg,,,,,,,,,, +青川箭竹,Fargesia rufa,易同培,83215,19831222,四川,,,,,https://image.cvh.ac.cn/files/l/BJM/144147.jpg,,,,,,,,,, +佤箭竹,Fargesia sagittatinea,白洪兵,5333241812021091LY,20181202,云南,2000,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009989.jpg,,,,,,,,,, +糙花箭竹,Fargesia scabrida,易同培,83214,19831221,四川,,,,,https://image.cvh.ac.cn/files/l/BJM/144148.jpg,,,,,,,,,, +德钦箭竹,Fargesia sylvestris,仙-丘滇西北联合考察队,4224,20001220,云南省,3850,野生,湿生灌木,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00058377.jpg,,,,,,,,,, +玉龙山箭竹,Fargesia yulongshanensis,"刘杰, 罗亚皇, 刘基男, 谭少林",YMT3500-1-2009,20130731,云南,3514,川滇高山栎-杜鹃林,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1458124.jpg,,,,,,,,,, +,Fargesia zayuensis,,,,,,,,,,,,,,,,,,, +河西阿魏,Ferula hexiensis,青藏队,3256,19600713,甘肃省,2500,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756194.jpg,,,,,,,,,, +河西阿魏,Ferula hexiensis,不祥,?,?,青海省,0,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/139415.jpg,,,,,,,,,, +草甸阿魏,Ferula kingdon-wardii,郭本兆 黄荣福,?,19700905,西藏自治区,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/133314.jpg,,,,,,,,,, +草甸阿魏,Ferula kingdon-wardii,郭先林、许新锐,2040516,20200716,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02040516.jpg,,,,,,,,,, +,Ferula kingdon-wardii,"Kingdon-Ward, Francis",5060,20-Apr-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00002545.jpg,,,,,,,,,, +榄绿阿魏,Ferula olivacea,青藏队,12451,19830726,四川省,3400,山坡高木栎林下,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0462007.jpg,,,,,,,,,, +榄绿阿魏,Ferula olivacea,G.Forrest,5773,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756202.jpg,,,,,,,,,, +,Ferula olivacea,"Forrest, George",2250,6-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00002546.jpg,,,,,,,,,, +短叶羊茅,Festuca brachyphylla,青藏队 吴玉虎,1312,19870902,西藏自治区,5200,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/146114.jpg,,,,,,,,,, +,Festuca brachyphylla,河西队,330,19670822,甘肃省,3800,?草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520787.jpg,,,,,,,,,, +短叶羊茅,Festuca brachyphylla,不祥,2441,19630719,青海省,3810,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/003694.jpg,,,,,,,,,, +,Festuca changduensis,T.N.Ho et al.,2456,19960827,青海省,3540,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520791.jpg,,,,,,,,,, +,Festuca changduensis,"关克俭,陈艺林",820,19590701,山西省,,路旁沟底,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520793.jpg,,,,,,,,,, +昌都羊茅,Festuca changduensis,郭本兆等,20576,19770629,四川省,,,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00521888.jpg,,,,,,,,,, +,Festuca chayuensis,岳伟、苏旭、王玉金,LiuJQ-328,20111001,青海省,0~3605,温带草原平地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280668.jpg,,,,,,,,,, +,Festuca chumbiensis,,,,,,,,,,,,,,,,,,, +,Festuca coelestis,高淑贞,s.n.,19550000,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520798.jpg,,,,,,,,,, +,Festuca coelestis,毛品一,1037,19520526,云南省,3700,草地钭坡干燥,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520876.jpg,,,,,,,,,, +,Festuca coelestis,刘瑛,563,19570528,湖北省,,山顶阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520836.jpg,,,,,,,,,, +长花羊茅,Festuca dolichantha,Ho Ting-nung et al.,246,19930723,青海省,3500~3600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520997.jpg,,,,,,,,,, +长花羊茅,Festuca dolichantha,,5805,19740808,四川省,4000,林间,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520999.jpg,,,,,,,,,, +长花羊茅,Festuca dolichantha,,H 146、Tui 8,19580805,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520996.jpg,,,,,,,,,, +蛊羊茅,Festuca fascinata,巴山采集队,1736,20080714,重庆市,2185,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851036.jpg,,,,,,,,,, +盅羊茅,Festuca fascinata,Li Heng,11763,20000629,云南省 ,1600~1900,growing along trail on moist slope,perennial grass,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00591664.jpg,,,,,,,,,, +蛊羊茅,Festuca fascinata,陈彦生、吴振海、黎斌、孙建钊,4255,2006/7/25,陕西省,1660,,直立草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0501417.jpg,,,,,,,,,, +,Festuca forrestii,"Forrest, George",2574,6-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00393977.jpg,,,,,,,,,, +,Festuca forrestii,"胡叔良,刘学忠",155-1,19560810,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01582298.jpg,,,,,,,,,, +,Festuca forrestii,,2178,19430601,贵州省,1400,盆地 酸性砂质土,,有花有果,https://image.cvh.ac.cn/files/l/PE/01600535.jpg,,,,,,,,,, +,Festuca handelii,Harry Smith,11104,19340817,四川省,3100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01665594.jpg,,,,,,,,,, +甘肃羊茅,Festuca kansuensis,宁宇,MA-M-0091,20150812,甘肃,3440,不积水草本,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/IGA/IGA0008012.jpg,,,,,,,,,, +甘肃羊茅,Festuca kansuensis,吴玉虎,LJQ-QLS-2008-0161,20080729,青海,3310,干旱石质山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402117.jpg,,,,,,,,,, +甘肃羊茅,Festuca kansuensis,秦志业,2020,19620722,青海省,3200,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0212977.jpg,,,,,,,,,, +,Festuca kashmiriana,青藏队植被组,12967,19760707,西藏自治区,4600,山地阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01447421.jpg,,,,,,,,,, +弱须羊茅,Festuca leptopogon,"熊济华,周子林",91625,19570623,重庆市,1880,荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00521240.jpg,,,,,,,,,, +弱须羊茅,Festuca leptopogon,H.T.Tsal,55432,,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00521942.jpg,,,,,,,,,, +弱须羊茅,Festuca leptopogon,北京所横断山队,3193,19810817,云南省,3770,冷杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01447423.jpg,,,,,,,,,, +微药羊茅,Festuca nitidula,史效武,MLS-100,20090918,云南省,4819,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001405.jpg,,,,,,,,,, +,Festuca nitidula,倪炳炽等,204,19640704,四川省,3800,山地阳处湿润草地中同生植物?,,有花有果,https://image.cvh.ac.cn/files/l/PE/00521360.jpg,,,,,,,,,, +,Festuca nitidula,关克俭,2099,19570721,新疆维吾尔自治区,2500,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00521334.jpg,,,,,,,,,, +羊茅,Festuca ovina,田新民,王志强,邹嘉宾,LiuJQ-Txm10-086,20100819,青海,4715,高寒草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402134.jpg,,,,,,,,,, +羊茅,Festuca ovina,巴山采集队,1828,20080719,陕西省,2300,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851039.jpg,,,,,,,,,, +羊茅,Festuca ovina,徐文斌,马真等,SHI-A2007038,20070725,新疆,1797,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402140.jpg,,,,,,,,,, +小颖羊茅,Festuca parvigluma,PE西藏考察队,7491,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332983.jpg,,,,,,,,,, +小颖羊茅,Festuca parvigluma,刘慎谔,7450,1956-07-,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0113935.jpg,,,,,,,,,, +小颖羊茅,Festuca parvigluma,杨人俊,杨人俊B0609,19580426,江苏省南京市,,,,有花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF007214.jpg,,,,,,,,,, +草甸羊茅,Festuca pratensis,,3040,57.8.5,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00046666.jpg,,,,,,,,,, +,Festuca pratensis,Peter Bernstrom,,19350705,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089085.jpg,,,,,,,,,, +草甸羊茅,Festuca pratensis,亚吉东,张桥蓉,胡枭剑,17CS16400,20170705,新疆,1188,沙质草地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1435247.jpg,,,,,,,,,, +紫羊茅,Festuca rubra,陈峥玲等,AU01231,20170710,福建,1509,路边,,无花有果,https://image.cvh.ac.cn/files/l/AU/AU083457.jpg,,,,,,,,,, +紫羊茅,Festuca rubra,"黄学文, 乌丽莎",Huangxw1980,20130901,内蒙古,,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1448514.jpg,,,,,,,,,, +紫羊茅,Festuca rubra,宋桂卿,215,19641110,安徽省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/019103325.jpg,,,,,,,,,, +,Festuca rubra subsp. arctica,"姜恕,金存礼",1463,19590701,四川省,3920,山坡岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536115.jpg,,,,,,,,,, +,Festuca rubra subsp. arctica,,312,19640630,甘肃省,2960,西北凹坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536108.jpg,,,,,,,,,, +毛稃羊茅,Festuca rubra subsp. arctica,邱娟,冯建菊,LiuJQ0089,20080807,新疆,3856,干山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402156.jpg,,,,,,,,,, +,Festuca rubra subsp. clarkei,刘恩德,5821,20020819,云南省,3200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920750.jpg,,,,,,,,,, +克西羊茅,Festuca rubra subsp. clarkei,,239013,,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/000055090.jpg,,,,,,,,,, +糙毛羊茅,Festuca rubra subsp. villosa,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20826,20200629,西藏,3831,河滩地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505934.jpg,,,,,,,,,, +糙毛羊茅,Festuca rubra subsp. villosa,吴征缢、陈书坤、杜庆、庐树林,793,19750716,西藏自治区,4370,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/53816.jpg,,,,,,,,,, +糙毛羊茅,Festuca rubra subsp. villosa,不详,7508,19740720,四川省,3900,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/48431.jpg,,,,,,,,,, +糙花羊茅,Festuca scabriflora,青藏队植被组,9687,19760820,西藏自治区,3500,砾树林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01400771.jpg,,,,,,,,,, +糙花羊茅,Festuca scabriflora,北京所横断山队,3111,19810817,云南省,3400~3600,冷杉 高山栎林内空地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01400770.jpg,,,,,,,,,, +,Festuca scabriflora,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,sc-a-148-B50,20190825,西藏,4161,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261326.jpg,,,,,,,,,, +中华羊茅,Festuca sinensis,,3223,19540812,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01608602.jpg,,,,,,,,,, +中华羊茅,Festuca sinensis,郭博,740233,1974,贵州省,3350,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00522129.jpg,,,,,,,,,, +中华羊茅,Festuca sinensis,吴玉虎,LJQ-QLS-2008-0129,20080727,青海,3260,阳坡草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402180.jpg,,,,,,,,,, +细芒羊茅,Festuca stapfii,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201288,20200726,西藏,2404,农田边,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505494.jpg,,,,,,,,,, +细芒羊茅,Festuca stapfii,张挺,郭永杰,吴之坤,姜虹,李贵能,16CS12608,20160817,四川,3022,五花草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435870.jpg,,,,,,,,,, +细芒羊茅,Festuca stapfii,黄荣福,CG-89-308,19890828,青海省,5300,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/109697.jpg,,,,,,,,,, +,Festuca tibetica,关克俭,2057,19570719,新疆维吾尔自治区,3000,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536254.jpg,,,,,,,,,, +,Festuca tibetica,杨永昌,1342,19650802,青海省,4500,河滩山麓阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536253.jpg,,,,,,,,,, +西藏羊茅,Festuca tibetica,秦志业,1036,19640324,西藏自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/000055095.jpg,,,,,,,,,, +,Festuca undata,青藏队植被组,5389,19750716,西藏自治区,3800,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01400772.jpg,,,,,,,,,, +,Festuca undata,杨永昌,1328,19650802,青海省,4500,河滩阴坡灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536263.jpg,,,,,,,,,, +,Festuca undata,四川省植被调查队,3047,19730810,四川省,4200,阳坡高山栎林林缘草甸土上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536268.jpg,,,,,,,,,, +假羊茅,Festuca valesiaca subsp. pseudovina,鞠文彬,杨焰,THP-KD-5282,20170804,四川,4252,草地灌丛,一年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0256105.jpg,,,,,,,,,, +,Festuca valesiaca subsp. sulcata,未知,117,19850708,新疆,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00604276.jpg,,,,,,,,,, +滇藏羊茅,Festuca vierhapperi,岳伟,苏旭,王玉金,LiuJQ-2011-WYJ-047,20110909,青海,4000,温带草原坡地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1402185.jpg,,,,,,,,,, +滇藏羊茅,Festuca vierhapperi,张大才,李双智,唐路,孙琼琼,ZhangDC-07ZX-1865,20090928,西藏,3514,溪边空地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402186.jpg,,,,,,,,,, +滇藏羊茅,Festuca vierhapperi,张昌兵,邓秀发,游明鸿,ZhangCB0412,20111019,四川,3472,灌丛山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402184.jpg,,,,,,,,,, +,Festuca wallichiana,,,,,,,,,,,,,,,,,,, +,Festuca yulungschanica,,,,,,,,,,,,,,,,,,, +,Festuca yunnanensis,北京所横断山队,2497,19810803,云南省,,冷杉林下亚高山草甸中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536349.jpg,,,,,,,,,, +,Festuca yunnanensis,齐威,LJQ-GN-256,20080924,甘肃省,0~3380,温带针阔混交林林缘,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0281891.jpg,,,,,,,,,, +滇羊茅,Festuca yunnanensis,齐威 ,LJQ-2008-GN-256,20080924,四川,3380,温带真阔混交林林缘,路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402190.jpg,,,,,,,,,, +夏飘拂草,Fimbristylis aestivalis,王育明,李9,195509,山东,,,,有花无果,https://image.cvh.ac.cn/files/l/JSPC/JSPC107148.jpg,,,,,,,,,, +夏飘拂草,Fimbristylis aestivalis,刘正宇,183331,20080729,重庆市,178,江边滩涂草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01433430.jpg,,,,,,,,,, +夏飘拂草,Fimbristylis aestivalis,何汝保,33,1963.10.,河南,,,,有花有果,https://image.cvh.ac.cn/files/l/HENU/0070065.jpg,,,,,,,,,, +,Fimbristylis autumnalis,赖书坤,3219,19630827,江西省,300,山地红黄壤阳处水旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01835567.jpg,,,,,,,,,, +,Fimbristylis autumnalis,,6489,1926/7/7,福建; FUKIEN,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00017638.jpg,,,,,,,,,, +,Fimbristylis autumnalis,,0,19180708,福建,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0043323.jpg,,,,,,,,,, +复序飘拂草,Fimbristylis bisumbellata,Liou Tchen-Ngo & Ki-Mon Liou,1293,1933/8/8,山东; SHANTUNG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00017641.jpg,,,,,,,,,, +复序飘拂草,Fimbristylis bisumbellata,吴宝成,宗俊勤,HD0137,20111128,江苏省,,河滩,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00591702.jpg,,,,,,,,,, +复序飘拂草,Fimbristylis bisumbellata,生物研究所西藏考察队,1445,19640922,西藏自治区,1000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/39395.jpg,,,,,,,,,, +扁鞘飘拂草,Fimbristylis complanata,植物所三峡考察队,1031,20080502,重庆,500~250,溪边湿地中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01824106.jpg,,,,,,,,,, +扁鞘飘拂草,Fimbristylis complanata,J.migako,,,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00536299.jpg,,,,,,,,,, +扁鞘飘拂草,Fimbristylis complanata,安明态,5256,20030812,贵州省,1300,田坎上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835756.jpg,,,,,,,,,, +矮扁鞘飘拂草,Fimbristylis complanata var. exaltata,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201025,20200719,西藏,2205,屋后荒地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507232.jpg,,,,,,,,,, +,Fimbristylis complanata var. exaltata,,488,19650714,云南省,2300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835731.jpg,,,,,,,,,, +矮扁鞘飘拂草,Fimbristylis complanata var. exaltata,侯学良,91945,20180804,福建,320,田野边,草本,有花有果,https://image.cvh.ac.cn/files/l/AU/AU065525.jpg,,,,,,,,,, +两歧飘拂草,Fimbristylis dichotoma,"陈邦余,李泽贤",162,1980/11/12,广东,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0427857.jpg,,,,,,,,,, +两歧飘拂草,Fimbristylis dichotoma,张代贵,pph1076,20150907,湖南湘西州,,稻田,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU26398.jpg,,,,,,,,,, +,Fimbristylis dichotoma,Y.Koga,11234,19940911,九州,740,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0374574.jpg,,,,,,,,,, +,Fimbristylis falcata,Stainton Sykes et al.,5844,19540620,,1667,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01779576.jpg,,,,,,,,,, +,Fimbristylis littoralis,"朱鑫鑫, 王金丹, 林庶, 刘晴, 梁俊生",ZXX18434,20180924,河南,89,亚热带,水边湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444615.jpg,,,,,,,,,, +水虱草,Fimbristylis littoralis,曾宪锋,ZXF40826,20181014,福建,666,山谷水旁,多年生水生草本,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0036094.jpg,,,,,,,,,, +,Fimbristylis littoralis,"朱鑫鑫, 林庶, 胡梦杰",ZXX191246,20190912,云南,2818,亚热带针叶林,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483427.jpg,,,,,,,,,, +独穗飘拂草,Fimbristylis ovata,雁山区普查队,450311190616010LY,20190616,广西,141,草丛,阳坡,黄棕壤;多;野生,草本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00425073.jpg,,,,,,,,,, +卵形飘拂草,Fimbristylis ovata,陈家瑞等,95080,19950800,云南省,600~900,热带雨林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01835480.jpg,,,,,,,,,, +独穗飘拂草,Fimbristylis ovata,卢洋,刘帆等六人,LiJ722,20110824,西藏,3663,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1398680.jpg,,,,,,,,,, +五棱秆飘拂草,Fimbristylis quinquangularis,何国生,9936,20000909,福建省,300,田野,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835795.jpg,,,,,,,,,, +五棱秆飘拂草,Fimbristylis quinquangularis,荔波队,2237,19590812,贵州省,1000,水旁阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835785.jpg,,,,,,,,,, +五棱秆飘拂草,Fimbristylis quinquangularis,T.P.Wang,8940,1938/8/23,四川,1100,,grass,无花无果,https://image.cvh.ac.cn/files/l/WUK/0079486.jpg,,,,,,,,,, +少穗飘拂草,Fimbristylis schoenoides,Lei C.I.,1418,1934/8/8,海南; HAINAN,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00017814.jpg,,,,,,,,,, +少穗飘拂草,Fimbristylis schoenoides,"陈耀东,倪瑞生",319,19800908,广东省,,水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835642.jpg,,,,,,,,,, +少穗飘拂草,Fimbristylis schoenoides,中越考察队,2624,19650223,,1,盐水沼泽,,有花有果,https://image.cvh.ac.cn/files/l/PE/01779532.jpg,,,,,,,,,, +畦畔飘拂草,Fimbristylis squarrosa,侯元同,郭成勇,侯元免,曹灵杰,20180426013-3,20180426,海南,36.5,水边湿地,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0049255.jpg,,,,,,,,,, +畦畔飘拂草,Fimbristylis squarrosa,刘心祈,26277,19360415,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00148583.jpg,,,,,,,,,, +畦畔飘拂草,Fimbristylis squarrosa,郭成勇,055234-6,20050717,山东省,150,山坡湿草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01897888.jpg,,,,,,,,,, +匍匐茎飘拂草,Fimbristylis stolonifera,C.F.Tso,829,19260609,浙江省,0,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0660894.jpg,,,,,,,,,, +匍匐茎飘拂草,Fimbristylis stolonifera,"关克俭,汪劲武,李朝銮",881,19640625,重庆市,630,山坡开旷荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01835564.jpg,,,,,,,,,, +匍匐茎飘拂草,Fimbristylis stolonifera,秦,24351,19290905,云南省,2600,水草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191188.jpg,,,,,,,,,, +,Fimbristylis tenera,,,,,,,,,,,,,,,,,,, +多脉瓜馥木,Fissistigma balansae,侯学良、欣玮玮、张若鹏,444,20160802,西藏,,林缘,藤本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU079228.jpg,,,,,,,,,, +多脉瓜馥木,Fissistigma balansae,侯学良,2013092007,20130920,Nha Trang,1200m,山地,林中,木质藤本,无花无果,https://image.cvh.ac.cn/files/l/AU/AU079546.jpg,,,,,,,,,, +多脉瓜馥木,Fissistigma balansae,谭策铭,4270,20040000,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00135702.jpg,,,,,,,,,, +,Fissistigma bicolor,,,,,,,,,,,,,,,,,,, +,Fissistigma polyanthoides,L.Q.Li N.T.Hiep Z.Y.Zhang et al,318,20041026,,160,secondary forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01864045.jpg,,,,,,,,,, +,Fissistigma polyanthoides,236-6队,3561,19771110,云南省,800,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01864046.jpg,,,,,,,,,, +小萼瓜馥木,Fissistigma polyanthoides,侯学良,2015121496,20151214,Phong Nha Ke Bang,150,石灰岩山地,林中,木质藤本,无花无果,https://image.cvh.ac.cn/files/l/AU/AU071986.jpg,,,,,,,,,, +黑风藤,Fissistigma polyanthum,海南调查东队,456,19541102,海南省,600~700,低丘疏密林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01186697.jpg,,,,,,,,,, +黑风藤,Fissistigma polyanthum,植被组,198,19781111,云南省,1900,路边杂木林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/02073225.jpg,,,,,,,,,, +多花瓜馥木,Fissistigma polyanthum,侯学良,2015121171,20151211,Thurong Xuan van Xuan Lien Reserve,130,山地,林中,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU072046.jpg,,,,,,,,,, +凹叶瓜馥木,Fissistigma retusum,农学院,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI001994.jpg,,,,,,,,,, +凹叶瓜馥木,Fissistigma retusum,宋祥后等,355,19830404,贵州,600,石山北坡,阴湿处,藤,有花无果,https://image.cvh.ac.cn/files/l/NF/NF2006644.jpg,,,,,,,,,, +凹叶瓜馥木,Fissistigma retusum,张代贵,xm367,20131002,湖南湘西州,,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU24962.jpg,,,,,,,,,, +,Fissistigma rubiginosum,,,,,,,,,,,,,,,,,,, +滇金石斛,Flickingeria albopurpurea,吉占和,91-719,19910000,云南省,800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00851315.jpg,,,,,,,,,, +狭叶金石斛,Flickingeria angustifolia,环江县普查队,451226130426039LY,20130426,广西,422,阔叶林,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0113733.jpg,,,,,,,,,, +狭叶金石斛,Flickingeria angustifolia,李泽贤,3370,19880417,海南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0627076.jpg,,,,,,,,,, +狭叶金石斛,Flickingeria angustifolia,李中提,602838,19590116,广西壮族自治区,,"阴处,肥土,石上旁",,无花无果,https://image.cvh.ac.cn/files/l/PE/00850627.jpg,,,,,,,,,, +,Flickingeria macraei,,,,,,,,,,,,,,,,,,, +,Flickingeria ritaeana,,,,,,,,,,,,,,,,,,, +聚花草,Floscopa scandens,萧百中,4876,20051020,湖南省,460,山麓,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791313.jpg,,,,,,,,,, +聚花草,Floscopa scandens,章绍尧,7152,19591110,浙江省,,谷地,林下,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00778257.jpg,,,,,,,,,, +聚花草,Floscopa scandens,邓方飞等,15211,20001003,广西壮族自治区,350,山地、山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237538.jpg,,,,,,,,,, +复芒菊,Formania mekongensis,G.Forrest,13183,19140000,云南省,3333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01774582.jpg,,,,,,,,,, +复芒菊,Formania mekongensis,George Forrest,13183,19140000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0601283.jpg,,,,,,,,,, +复芒菊,Formania mekongensis,生物研究所西藏考察队,2866,19730911,四川,2500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028477.jpg,,,,,,,,,, +,Forsythia likiangensis,,,,,,,,,,,,,,,,,,, +,Friesodielsia fornicata,,,,,,,,,,,,,,,,,,, +川贝母,Fritillaria cirrhosa,黄德明等,s.n.,19910527,重庆市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01945319.jpg,,,,,,,,,, +川贝母,Fritillaria cirrhosa,李培元,10265,1965/7/17,山西,2650,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0248725.jpg,,,,,,,,,, +川贝母,Fritillaria cirrhosa,何廷农、刘尚武、卢学峰、陈世龙等,198,20000617,甘肃省,,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00012105.jpg,,,,,,,,,, +,Fritillaria crassicaulis,,,,,,,,,,,,,,,,,,, +,Fritillaria dajinensis,,,,,,,,,,,,,,,,,,, +梭砂贝母,Fritillaria delavayi,青藏队,6872,19820527,云南省,3600,山坡竹林中流水冲积地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01948555.jpg,,,,,,,,,, +梭砂贝母,Fritillaria delavayi,陈斌全,592,,江苏省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0643060.jpg,,,,,,,,,, +梭砂贝母,Fritillaria delavayi,西藏队植被组,6054,19750902,西藏自治区,4900~5000,流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532631.jpg,,,,,,,,,, +,Fritillaria fusca,,,,,,,,,,,,,,,,,,, +,Fritillaria przewalskii,,,,,,,,,,,,,,,,,,, +,Fritillaria sichuanica,,,,,,,,,,,,,,,,,,, +,Fritillaria sinica,,,,,,,,,,,,,,,,,,, +,Fritillaria unibracteata,,,,,,,,,,,,,,,,,,, +芙兰草,Fuirena umbellata,Suzuki-Tokio,20583,19400929,台湾省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0696409.jpg,,,,,,,,,, +芙兰草,Fuirena umbellata,黄成就等,73,19731116,广东省,,山谷水湿处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01681792.jpg,,,,,,,,,, +芙兰草,Fuirena umbellata,李宏庆,陈纪云,王双等,LiHQ0291,20091025,福建,600,常绿阔叶林林中湿地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1398716.jpg,,,,,,,,,, +,Gagea flavonutans,,,,,,,,,,,,,,,,,,, +少花顶冰花,Gagea pauciflora,张粤、白.巴雅尔图、魏志文、王明宇、李世琦,XM784,20160420,内蒙古自治区通辽市,234.1,草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0239278.jpg,,,,,,,,,, +少花顶冰花,Gagea pauciflora,T.N.Liou,9479,1938/4/16,陕西,1100,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0052440.jpg,,,,,,,,,, +,Gagea pauciflora,林湘 X. Lin,5101,19930502,黑龙江,,溪旁草地,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00604457.jpg,,,,,,,,,, +,Gagea serotina,,,,,,,,,,,,,,,,,,, +北方盔花兰,Galearis roborowskyi,魏来、郝加琛,15550,20150810,西藏,4561,山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0025890.jpg,,,,,,,,,, +北方红门兰,Galearis roborowskyi,郝加琛,周瑜,16719,20160712,新疆维吾尔自治区,2388,路旁草丛,草本,,https://image.cvh.ac.cn/files/l/BNU/0030067.jpg,,,,,,,,,, +二叶盔花兰,Galearis spathulata,肖月娥、胡超、叶喜阳、华国军,HC063,20150705,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0098292.jpg,,,,,,,,,, +,Galearis spathulata,PE西藏考察队,7212,20180612,西藏自治区,4539,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331735.jpg,,,,,,,,,, +二叶盔花兰,Galearis spathulata,彭玉兰、余奇、李林霖,THP-KD-1323,20170616,四川,3091,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0249856.jpg,,,,,,,,,, +,Galearis tschiliensis,,,,,,,,,,,,,,,,,,, +,Galearis wardii,,,,,,,,,,,,,,,,,,, +,Galeola cathcartii,,,,,,,,,,,,,,,,,,, +山珊瑚,Galeola faberi,HK kadoorie PT,3359,20020427,云南省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098028.jpg,,,,,,,,,, +,Galeola faberi,姚淦 K. Yao,10020,19860603,安徽,,in the ravine on sunny places,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00611191.jpg,,,,,,,,,, +山珊瑚,Galeola faberi,万盛队,万-033-01,20120802,重庆市,,阔叶林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0012983.jpg,,,,,,,,,, +,Galeola falconeri,,,,,,,,,,,,,,,,,,, +毛萼山珊瑚,Galeola lindleyana,南丹普查队,451221180530046LY,20180530,广西,608,阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0200820.jpg,,,,,,,,,, +毛萼山珊瑚,Galeola lindleyana,刘正宇,3372,19820625,重庆市,1700,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033076.jpg,,,,,,,,,, +毛萼山珊瑚,Galeola lindleyana,高锡朋,51779,19310811,,,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00038842.jpg,,,,,,,,,, +蔓生山珊瑚,Galeola nudifolia,F.A. McClure,20041,1932/4/4,海南; HAINAN,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028782.jpg,,,,,,,,,, +蔓生山珊瑚,Galeola nudifolia,高锡朋,51779,19310811,广东省,0,,半灌木,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0627115.jpg,,,,,,,,,, +蔓生山珊瑚,Galeola nudifolia,H.S.Yates,2038,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0627116.jpg,,,,,,,,,, +丽江拉拉藤,Galium forrestii,管中天,42-0128,19600831,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399509.jpg,,,,,,,,,, +丽江拉拉藤,Galium forrestii,余奇、黎怀诚,THP-KD-0663,20170606,四川,2220-2702,,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0240527.jpg,,,,,,,,,, +,Galium forrestii,,A712,19250714,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00031007.jpg,,,,,,,,,, +腺叶拉拉藤,Galium glandulosum,Ho Ting-nung et al ,941,19930809,青海省,4150,On rocky slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00713205.jpg,,,,,,,,,, +腺叶拉拉藤,Galium glandulosum,青藏队,4769,19810812,四川省,3600,山坡 岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173435.jpg,,,,,,,,,, +腺叶拉拉藤,Galium glandulosum,覃民府,覃祖红,,,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00099044.jpg,,,,,,,,,, +康定拉拉藤,Galium prattii,C.S.Liu,1472,19340901,四川省,3560,mt.slope grassy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113669.jpg,,,,,,,,,, +康定拉拉藤,Galium prattii,谢登峰、成瑞渝,2031433,20190924,四川,3317,,,有花有果,https://image.cvh.ac.cn/files/l/SZ/02031433.jpg,,,,,,,,,, +,Galium prattii,A. E. Pratt,117,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00092869.jpg,,,,,,,,,, +,Garcinia nujiangensis,,,,,,,,,,,,,,,,,,, +三芒耳稃草,Garnotia acutigluma,彭华 ,王泽欢,陈丽,PengH2012023,20121024,云南,2800,林缘路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402192.jpg,,,,,,,,,, +,Garnotia emodi,"李渤生,李辉,阳艺",13277,19900830,西藏自治区,1900,山坡 岩石上时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01507359.jpg,,,,,,,,,, +,Garnotia emodi,朱太昌,牧99,19830902,四川省,1900,云南松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536357.jpg,,,,,,,,,, +,Garnotia emodi,"刘成, 张挺, 亚吉东",18CS17488,20180911,西藏,2015,路边潮湿岩壁上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1482781.jpg,,,,,,,,,, +脆枝耳稃草,Garnotia tenella,鞠文彬,邓亨宁,HGX13733,20130918,四川,,溪边石壁,一年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0234243.jpg,,,,,,,,,, +脆枝耳稃草,Garnotia tenella,鞠文彬,邓亨宁 ,HGX13733,20130918,四川省,,溪边石壁,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0234242.jpg,,,,,,,,,, +脆枝耳稃草,Garnotia tenella,罗成瑜,ALSZY446,20121203,云南,2380,阔叶林下梁子,草本,,https://image.cvh.ac.cn/files/l/KUN/1402195.jpg,,,,,,,,,, +,Gastrochilus acutifolius,,,,,,,,,,,,,,,,,,, +,Gastrochilus affinis,藏东南考察队 金效华等,SET-ET717,20090824,西藏自治区,2685,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033071.jpg,,,,,,,,,, +二脊盆距兰,Gastrochilus affinis,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201522,20200806,西藏,2315,林下树上,附生植物,无花无果,https://image.cvh.ac.cn/files/l/KUN/1509148.jpg,,,,,,,,,, +二脊盆距兰,Gastrochilus affinis,亚吉东,刘成,冯明建,20CS19022,20200520,云南,1658,冷杉林,附生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505418.jpg,,,,,,,,,, +,Gastrochilus arunachalensis,,,,,,,,,,,,,,,,,,, +盆距兰,Gastrochilus calceolaris,温兆捷、牟光福,18032901,20180329,广西,690,石灰岩近山顶林下,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI071970.jpg,,,,,,,,,, +盆距兰,Gastrochilus calceolaris,刘心祈,28347,19361209,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00145777.jpg,,,,,,,,,, +盆距兰,Gastrochilus calceolaris,侯宽昭,71145,193304,海南,,林中树上,草本,有花无果,https://image.cvh.ac.cn/files/l/SN/SN002662.jpg,,,,,,,,,, +列叶盆距兰,Gastrochilus distichus,王启无,72267,19360300,云南省 ,0~2700,,Herbs,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0627147.jpg,,,,,,,,,, +列叶盆距兰,Gastrochilus distichus,"刘成, 亚吉东, 李昌洪, 李永亮, 张玉龙",18CS16715,20180316,云南,2378,附生于树上,附生植物,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486785.jpg,,,,,,,,,, +列叶盆距兰,Gastrochilus distichus,青藏队,73-896,19730726,西藏自治区,2400,山坡常绿林中陡岩附生,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032933.jpg,,,,,,,,,, +,Gastrochilus gongshanensis,,,,,,,,,,,,,,,,,,, +细茎盆距兰,Gastrochilus intermedius,陈伟烈,14226,19800812,西藏自治区,1600,附生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377028.jpg,,,,,,,,,, +细茎盆距兰,Gastrochilus intermedius,邢福武,5994,19950402,海南省,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0627118.jpg,,,,,,,,,, +细茎盆距兰,Gastrochilus intermedius,王文华,3675,1978-9 1,四川省,650,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0170909.jpg,,,,,,,,,, +,Gastrochilus linearifolius,青藏队,74-5099,19740910,西藏自治区,1600,山坡阔叶林中附生树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033053.jpg,,,,,,,,,, +,Gastrochilus linzhiensis,,,,,,,,,,,,,,,,,,, +无茎盆距兰,Gastrochilus obliquus,Jin Xiaohua,8715,20070112,广西壮族自治区,,in limestone forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033057.jpg,,,,,,,,,, +无茎盆距兰,Gastrochilus obliquus,黄全,820565,19820427,海南省 ,0,,草本攀缘,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0627155.jpg,,,,,,,,,, +无茎盆距兰,Gastrochilus obliquus,"陈心启,吉占和",68,19830318,云南省,,附生树上林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033055.jpg,,,,,,,,,, +,Gastrochilus prionophyllus,,,,,,,,,,,,,,,,,,, +小唇盆距兰,Gastrochilus pseudodistichus,Jin Weitao,13421,20120707,云南省,1700~1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233152.jpg,,,,,,,,,, +小唇盆距兰,Gastrochilus pseudodistichus,Luo Yi-bo,365,20000816,广西壮族自治区,1320,近山脚林木丛中 生于小树干上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033063.jpg,,,,,,,,,, +小唇盆距兰,Gastrochilus pseudodistichus,周应再,ZhouYZ183,20180412,云南,2473,中山湿性常绿阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1444437.jpg,,,,,,,,,, +,Gastrochilus rutilans,,,,,,,,,,,,,,,,,,, +,Gastrochilus sessanicus,,,,,,,,,,,,,,,,,,, +,Gastrochilus setosus,,,,,,,,,,,,,,,,,,, +,Gastrochilus xizangensis,,,,,,,,,,,,,,,,,,, +云南盆距兰,Gastrochilus yunnanensis,黄连山科研所,HLS0449,20121126,云南,,次生林,草本,,https://image.cvh.ac.cn/files/l/KUN/1393919.jpg,,,,,,,,,, +云南盆距兰,Gastrochilus yunnanensis,"刘成, 亚吉东",18CS17220,20181120,西藏,794,林缘树上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1482768.jpg,,,,,,,,,, +,Gastrodia angusta,,,,,,,,,,,,,,,,,,, +,Gastrodia arunachalensis,,,,,,,,,,,,,,,,,,, +八代天麻,Gastrodia confusa,藏东南考察队 金效华等,SET-ET1196,20090904,西藏自治区,1481,under forest myco-heterotrophy,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033043.jpg,,,,,,,,,, +八代天麻,Gastrodia confusa,浜田善利等,s.n.,19801116,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01634605.jpg,,,,,,,,,, +八代天麻,Gastrodia confusa,十万大山采集队,1105,20090924,广西壮族自治区,1000,山坡、疏林,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00234873.jpg,,,,,,,,,, +,Gastrodia dyeriana,Jin Xiaohua,11690,20111005,云南省,1700,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033480.jpg,,,,,,,,,, +,Gastrodia dyeriana,藏东南考察队 金效华等,SET-ET632,20090823,西藏自治区,2084,under forest myco-heterotrophy,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033478.jpg,,,,,,,,,, +天麻,Gastrodia elata,金效华,8230,20060708,云南,2145,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825208.jpg,,,,,,,,,, +天麻,Gastrodia elata,刘新,4,1958.07.,河南,,,,有花有果,https://image.cvh.ac.cn/files/l/HENU/0450460.jpg,,,,,,,,,, +天麻,Gastrodia elata,巴山采集队,3487,20100723,陕西省,1243,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059351.jpg,,,,,,,,,, +,Gastrodia flavilabella,,,,,,,,,,,,,,,,,,, +,Gastrodia mishmensis,,,,,,,,,,,,,,,,,,, +,Gastrodia putaoensis,,,,,,,,,,,,,,,,,,, +,Gaultheria brevistipes,,,,,,,,,,,,,,,,,,, +,Gaultheria heteromera,,,,,,,,,,,,,,,,,,, +,Gaultheria longiracemosa,,,,,,,,,,,,,,,,,,, +,Gaultheria praticola,,,,,,,,,,,,,,,,,,, +,Gaultheria prostrata,,,,,,,,,,,,,,,,,,, +,Gaultheria pseudonotabilis,,,,,,,,,,,,,,,,,,, +,Gaultheria purpurea,,,,,,,,,,,,,,,,,,, +,Gaultheria straminea,,,,,,,,,,,,,,,,,,, +,Gaultheria suborbicularis,,,,,,,,,,,,,,,,,,, +,Gaultheria trigonoclada,,,,,,,,,,,,,,,,,,, +,Gentiana abaensis,,,,,,,,,,,,,,,,,,, +,Gentiana alsinoides,,,,,,,,,,,,,,,,,,, +,Gentiana altorum,,,,,,,,,,,,,,,,,,, +,Gentiana anisostemon,,,,,,,,,,,,,,,,,,, +,Gentiana aperta,,,,,,,,,,,,,,,,,,, +,Gentiana arethusae,,,,,,,,,,,,,,,,,,, +,Gentiana aristata,,,,,,,,,,,,,,,,,,, +,Gentiana asparagoides,,,,,,,,,,,,,,,,,,, +,Gentiana atropurpurea,,,,,,,,,,,,,,,,,,, +,Gentiana atuntsiensis,,,,,,,,,,,,,,,,,,, +,Gentiana baoxingensis,,,,,,,,,,,,,,,,,,, +,Gentiana bomiensis,,,,,,,,,,,,,,,,,,, +,Gentiana caeruleogrisea,,,,,,,,,,,,,,,,,,, +,Gentiana choanantha,,,,,,,,,,,,,,,,,,, +,Gentiana chungtienensis,,,,,,,,,,,,,,,,,,, +,Gentiana clarkei,,,,,,,,,,,,,,,,,,, +,Gentiana conduplicata,,,,,,,,,,,,,,,,,,, +,Gentiana crassula,,,,,,,,,,,,,,,,,,, +,Gentiana crenulatotruncata,,,,,,,,,,,,,,,,,,, +,Gentiana cristata,,,,,,,,,,,,,,,,,,, +,Gentiana curvianthera,,,,,,,,,,,,,,,,,,, +,Gentiana curviphylla,,,,,,,,,,,,,,,,,,, +,Gentiana daochengensis,,,,,,,,,,,,,,,,,,, +,Gentiana deltoidea,,,,,,,,,,,,,,,,,,, +,Gentiana dendrologi,,,,,,,,,,,,,,,,,,, +,Gentiana divaricata,,,,,,,,,,,,,,,,,,, +,Gentiana dolichocalyx,,,,,,,,,,,,,,,,,,, +,Gentiana doxiongshanensis,,,,,,,,,,,,,,,,,,, +,Gentiana ecaudata,,,,,,,,,,,,,,,,,,, +,Gentiana erectosepala,,,,,,,,,,,,,,,,,,, +,Gentiana flexicaulis,,,,,,,,,,,,,,,,,,, +,Gentiana formosa,,,,,,,,,,,,,,,,,,, +,Gentiana forrestii,,,,,,,,,,,,,,,,,,, +,Gentiana futtereri,,,,,,,,,,,,,,,,,,, +,Gentiana georgei,,,,,,,,,,,,,,,,,,, +,Gentiana grumii,,,,,,,,,,,,,,,,,,, +,Gentiana haynaldii,,,,,,,,,,,,,,,,,,, +,Gentiana heleonastes,,,,,,,,,,,,,,,,,,, +,Gentiana helophila,,,,,,,,,,,,,,,,,,, +,Gentiana hirsuta,,,,,,,,,,,,,,,,,,, +,Gentiana inconspicua,,,,,,,,,,,,,,,,,,, +,Gentiana intricata,,,,,,,,,,,,,,,,,,, +,Gentiana lacinulata,,,,,,,,,,,,,,,,,,, +,Gentiana lawrencei,,,,,,,,,,,,,,,,,,, +,Gentiana lhassica,,,,,,,,,,,,,,,,,,, +,Gentiana linoides,,,,,,,,,,,,,,,,,,, +,Gentiana ludingensis,,,,,,,,,,,,,,,,,,, +,Gentiana microdonta,,,,,,,,,,,,,,,,,,, +,Gentiana namlaensis,,,,,,,,,,,,,,,,,,, +,Gentiana nanobella,,,,,,,,,,,,,,,,,,, +,Gentiana ninglangensis,,,,,,,,,,,,,,,,,,, +,Gentiana nyingchiensis,,,,,,,,,,,,,,,,,,, +,Gentiana otophoroides,,,,,,,,,,,,,,,,,,, +,Gentiana picta,,,,,,,,,,,,,,,,,,, +,Gentiana praeclara,,,,,,,,,,,,,,,,,,, +,Gentiana prattii,,,,,,,,,,,,,,,,,,, +,Gentiana producta,,,,,,,,,,,,,,,,,,, +,Gentiana pseudosquarrosa,,,,,,,,,,,,,,,,,,, +,Gentiana pudica,,,,,,,,,,,,,,,,,,, +,Gentiana purdomii,,,,,,,,,,,,,,,,,,, +,Gentiana qiujiangensis,,,,,,,,,,,,,,,,,,, +,Gentiana radiata,,,,,,,,,,,,,,,,,,, +,Gentiana scabrifilamenta,,,,,,,,,,,,,,,,,,, +,Gentiana souliei,,,,,,,,,,,,,,,,,,, +,Gentiana spathulifolia,,,,,,,,,,,,,,,,,,, +,Gentiana stellata,,,,,,,,,,,,,,,,,,, +,Gentiana stellulata,,,,,,,,,,,,,,,,,,, +,Gentiana stragulata,,,,,,,,,,,,,,,,,,, +,Gentiana striata,,,,,,,,,,,,,,,,,,, +,Gentiana striolata,,,,,,,,,,,,,,,,,,, +,Gentiana subintricata,,,,,,,,,,,,,,,,,,, +,Gentiana subuliformis,,,,,,,,,,,,,,,,,,, +,Gentiana subuniflora,,,,,,,,,,,,,,,,,,, +,Gentiana syringea,,,,,,,,,,,,,,,,,,, +,Gentiana szechenyii,,,,,,,,,,,,,,,,,,, +,Gentiana tatsienensis,,,,,,,,,,,,,,,,,,, +,Gentiana tetraphylla,,,,,,,,,,,,,,,,,,, +,Gentiana tongolensis,,,,,,,,,,,,,,,,,,, +,Gentiana trichotoma,,,,,,,,,,,,,,,,,,, +,Gentiana tricolor,,,,,,,,,,,,,,,,,,, +,Gentiana viatrix,,,,,,,,,,,,,,,,,,, +,Gentiana waltonii,,,,,,,,,,,,,,,,,,, +,Gentiana wasenensis,,,,,,,,,,,,,,,,,,, +,Gentiana winchuanensis,,,,,,,,,,,,,,,,,,, +,Gentiana zekuensis,,,,,,,,,,,,,,,,,,, +,Gentianella anomala,,,,,,,,,,,,,,,,,,, +,Gentianella arenaria,,,,,,,,,,,,,,,,,,, +地宝兰,Geodorum densiflorum,金效华,9036,20070701,云南,900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825219.jpg,,,,,,,,,, +地宝兰,Geodorum densiflorum,,339,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00339306.jpg,,,,,,,,,, +地宝兰,Geodorum densiflorum,莫水松,胡仁传,林春蕊,Liuyan1114,20130117,广西,300,亚热带常绿叶阔叶林,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1438702.jpg,,,,,,,,,, +,Geranium farreri,,,,,,,,,,,,,,,,,,, +,Geranium hispidissimum,,,,,,,,,,,,,,,,,,, +,Geranium moupinense,,,,,,,,,,,,,,,,,,, +,Geranium napuligerum,,,,,,,,,,,,,,,,,,, +,Geranium pogonanthum,,,,,,,,,,,,,,,,,,, +,Geranium rubifolium,,,,,,,,,,,,,,,,,,, +,Geranium umbelliforme,,,,,,,,,,,,,,,,,,, +,Geranium yunnanense,,,,,,,,,,,,,,,,,,, +,Gerbera connata,,,,,,,,,,,,,,,,,,, +弯苞大丁草,Gerbera curvisquama,杨光辉,57598,19580401,四川省,1080,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00282910.jpg,,,,,,,,,, +丽江大丁草,Gerbera lijiangensis,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13929,20161016,四川,3270,路边灌草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1459057.jpg,,,,,,,,,, +石上大丁草,Gerbera saxatilis,管中天,370114,19600630,四川省,0~3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0593398.jpg,,,,,,,,,, +石上大丁草,Gerbera saxatilis,K.L.Chu,3608,中华民国25.8.16.,四川,3500~2400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0004568.jpg,,,,,,,,,, +,Gigantochloa macrostachya,,,,,,,,,,,,,,,,,,, +方杆蕨,Glaphyropteridopsis erubescens,,,,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00033513.jpg,,,,,,,,,, +方秆蕨,Glaphyropteridopsis erubescens,商辉、黄科瑞,SG0969,20150919,广西省,,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0096884.jpg,,,,,,,,,, +,Glaphyropteridopsis erubescens,"张宪春,刘以诚",5940,20090808,重庆市,700,溪边 山坡土生,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02049639.jpg,,,,,,,,,, +,Globba clarkei,刘成,字海荣,高歌,赵金超,13CS6577,20130828,云南,1405,常绿阔叶林林缘路边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1390928.jpg,,,,,,,,,, +,Globba multiflora,,,,,,,,,,,,,,,,,,, +舞花姜,Globba racemosa,三峡工程植被组,98,19880821,重庆市,550,常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01790354.jpg,,,,,,,,,, +舞花姜,Globba racemosa,朱鑫鑫,王君,王美华,ZXX202588,20201111,安徽,506,沟边,,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0188667.jpg,,,,,,,,,, +舞花姜,Globba racemosa,北京队,4139,19880827,湖南省,,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803408.jpg,,,,,,,,,, +墨脱算盘子,Glochidion medogense,"李渤生,程树志",4101,19830415,西藏自治区,1800,常绿阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078271.jpg,,,,,,,,,, +墨脱算盘子,Glochidion medogense,青藏队,74-1810,19740812,西藏,0,常绿阔叶林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1206837.jpg,,,,,,,,,, +卵花甜茅,Glyceria tonglensis,邓兴敏,邓秀发,张昌兵,ZCB0384,20091127,四川,,草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402201.jpg,,,,,,,,,, +卵花甜茅,Glyceria tonglensis,h.Muroi,,1935/7/7,prov.Rikuchin.,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00016319.jpg,,,,,,,,,, +卵花甜茅,Glyceria tonglensis,李永亮等,YDDXS1205,20140601,云南,2360,南亚热带中山湿性常绿阔叶林边水沟,多年生水生草本,,https://image.cvh.ac.cn/files/l/KUN/1402199.jpg,,,,,,,,,, +,Glycosmis xizangensis,"李渤生,程树志",4638,19830423,西藏自治区,650,常阔林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01821456.jpg,,,,,,,,,, +,Glycosmis xizangensis,"李渤生,程树志",4638,19830423,西藏,650,常阔林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01821449.jpg,,,,,,,,,, +大子买麻藤,Gnetum montanum,青藏队,5047,19740904,西藏自治区,800,山坡,阔叶林下,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0136520.jpg,,,,,,,,,, +买麻藤,Gnetum montanum,李学根,200925,1957.6.18.,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0017255.jpg,,,,,,,,,, +买麻藤,Gnetum montanum,覃海宁等,3276,20020422,广西壮族自治区,900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01980138.jpg,,,,,,,,,, +垂子买麻藤,Gnetum pendulum,"刘成, 亚吉东",18CS17276,20181124,西藏,1675,林中,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487456.jpg,,,,,,,,,, +垂子买麻藤,Gnetum pendulum,蒋英,13523,19530000,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00017969.jpg,,,,,,,,,, +垂子买麻藤,Gnetum pendulum,李正明,杨玉开,HLS0321,20111106,云南,1742,森林,藤本,,https://image.cvh.ac.cn/files/l/KUN/1405602.jpg,,,,,,,,,, +友水龙骨,Goniophlebium amoenum,覃营、袁泉、苏钰岚等,QC994,20180810,广西,~1138,阔叶林,沟边,黄棕壤;一般,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00437275.jpg,,,,,,,,,, +,Goniophlebium amoenum,PE西藏队,PE6021,20170906,西藏自治区,2935,山谷林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01891870.jpg,,,,,,,,,, +,Goniophlebium amoenum,"张宪春,郭志友,蒋日红",7853,20151217,贵州省,800,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02056001.jpg,,,,,,,,,, +,Goniophlebium amoenum var. pilosum,,,,,,,,,,,,,,,,,,, +,Goniophlebium argutum,卫然,WR0438,20161030,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02109736.jpg,,,,,,,,,, +,Goniophlebium argutum,"Chien-Chih Chen,Yui-Ching Kao,Shu-Hui Wu",7255,19990513,台湾省,1400,原始扁柏林 潮湿,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02067329.jpg,,,,,,,,,, +,Goniophlebium argutum,F.E.W.Venning,274,19240811,,2167,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01642756.jpg,,,,,,,,,, +,Goniophlebium chinense,PE西藏队,PE6528,20170912,西藏自治区,3588,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01891836.jpg,,,,,,,,,, +,Goniophlebium chinense,"张宪春,梁思琪",8672,20170811,甘肃省,1820,岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234290.jpg,,,,,,,,,, +中华水龙骨,Goniophlebium chinense,黄汉东,史红文,4471,20030827,湖北,1650,林内沟边,蕨类,有孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0208577.jpg,,,,,,,,,, +,Goniophlebium hendersonii,,,,,,,,,,,,,,,,,,, +,Goniophlebium lachnopus,,,,,,,,,,,,,,,,,,, +,Goniophlebium manmeiense,X.C.Z,3004,20030901,云南省,1750~1800,林中,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02055666.jpg,,,,,,,,,, +,Goniophlebium microrhizoma,F.E.W.Venning,279,19240812,,2000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01642792.jpg,,,,,,,,,, +,Goniophlebium niponicum,吕碧凤,14929,20071116,台湾省,1350~2100,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01963881.jpg,,,,,,,,,, +日本水龙骨,Goniophlebium niponicum,张成,Zhang909,20210720,陕西,,林缘,,无花有果,https://image.cvh.ac.cn/files/l/BNU/0053160.jpg,,,,,,,,,, +,Goniophlebium subamoenum,"张宪春,蒋日红,黄尔峰",8853,20170819,四川省,3300,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234478.jpg,,,,,,,,,, +,Goniophlebium wattii,,,,,,,,,,,,,,,,,,, +,Goniothalamus simonsii,,,,,,,,,,,,,,,,,,, +大花斑叶兰,Goodyera biflora,蔡希陶,58-8126,19580925,云南省,2100,密林中岩石上,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0022202.jpg,,,,,,,,,, +大花斑叶兰,Goodyera biflora,"朱鑫鑫, 石琳琳, 段帅帅, 胡梦杰, 吕擎",ZXX18494,20181002,湖北,916,亚热带常绿落叶混交林,沟谷中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444572.jpg,,,,,,,,,, +大花斑叶兰,Goodyera biflora,朱长山、李世晋、侯学良、朱世新、李家美,13080462,20130804,河南,,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU066897.jpg,,,,,,,,,, +波密斑叶兰,Goodyera bomiensis,张挺,刘成,左政裕,姜虹,李昌洪,19CS18396,20190716,四川,1806,溪边林缘,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506395.jpg,,,,,,,,,, +波密斑叶兰,Goodyera bomiensis,藏东南考察队,SET-ET 774,20090825,西藏自治区,1874,under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01867328.jpg,,,,,,,,,, +波密斑叶兰,Goodyera bomiensis,曾宪锋,ZXF13419,2013/5/4,江西省,850,山地,,,https://image.cvh.ac.cn/files/l/CZH/CZH0007847.jpg,,,,,,,,,, +莲座叶斑叶兰,Goodyera brachystegia,刘成;张挺;姜虹;左政裕;李昌洪,19CS18033,20190720,四川,2259,次生林缘,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551502.jpg,,,,,,,,,, +莲座叶斑叶兰,Goodyera brachystegia,金效华,8132,20060408,云南,1469,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825220.jpg,,,,,,,,,, +莲座叶斑叶兰,Goodyera brachystegia,巴山采集队,5881,20120702,四川省,1200,公路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059756.jpg,,,,,,,,,, +多叶斑叶兰,Goodyera foliosa,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T253,20160917,西藏自治区,1594,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233106.jpg,,,,,,,,,, +多叶斑叶兰,Goodyera foliosa,金效华,9205,20070526,四川,1133,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825221.jpg,,,,,,,,,, +多叶斑叶兰,Goodyera foliosa,刘林翰,1255,19570920,湖南省,0~480,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0627287.jpg,,,,,,,,,, +脊唇斑叶兰,Goodyera fusca,PE西藏考察队,8006,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331722.jpg,,,,,,,,,, +脊唇斑叶兰,Goodyera fusca,滇西北金沙江队,63-6103,19630725,云南省,3780,石灰岩隙,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0022228.jpg,,,,,,,,,, +脊唇斑叶兰,Goodyera fusca,张挺,刘成,何华杰,19CS18720,20190910,西藏,4454,高山草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506011.jpg,,,,,,,,,, +,Goodyera hemsleyana,,,,,,,,,,,,,,,,,,, +,Goodyera hispida,y.m.shui together with C.X.Pu and C.L.Nie,14322,20001117,云南省,600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033569.jpg,,,,,,,,,, +,Goodyera hispida,藏南考察队,STET2137,20100805,西藏自治区,750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867346.jpg,,,,,,,,,, +,Goodyera medogensis,,,,,,,,,,,,,,,,,,, +南湖斑叶兰,Goodyera nankoensis,葛斌杰,GBJ00889,20110714,西藏,2950,,草本 Herb,有花无果,https://image.cvh.ac.cn/files/l/CSH/0000616.jpg,,,,,,,,,, +,Goodyera recurva,,,,,,,,,,,,,,,,,,, +小斑叶兰,Goodyera repens,T.P.Wang,7469,1937/7/28,甘肃,3300,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0029135.jpg,,,,,,,,,, +小斑叶兰,Goodyera repens,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T336,20160919,西藏自治区,2453,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233046.jpg,,,,,,,,,, +小斑叶兰,Goodyera repens,云台山采集队,911,20090615,河南省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02030637.jpg,,,,,,,,,, +滇藏斑叶兰,Goodyera robusta,金效华,548,20000929,贵州,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820798.jpg,,,,,,,,,, +滇藏斑叶兰,Goodyera robusta,F. A. McClure,2023,1921-12-,海南; HAINAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028223.jpg,,,,,,,,,, +滇藏斑叶兰,Goodyera robusta,金效华,9221,20070904,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825226.jpg,,,,,,,,,, +斑叶兰,Goodyera schlechtendaliana,刘文剑、李建玲、宋晓飞,93,20180809,广西,920,山坡密林,草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI067052.jpg,,,,,,,,,, +斑叶兰,Goodyera schlechtendaliana,林来官,7282,19870902,福建省,1200,生长在岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849793.jpg,,,,,,,,,, +斑叶兰,Goodyera schlechtendaliana,刘正宇、张军等,S-3795,20171104,重庆,1073,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0051495.jpg,,,,,,,,,, +秀丽斑叶兰,Goodyera vittata,"倪志诚,汪永泽,次多等",0757B,19800725,西藏自治区,2100,河边针阔混交林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00339514.jpg,,,,,,,,,, +秀丽斑叶兰,Goodyera vittata,,s.n.,,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0647379.jpg,,,,,,,,,, +秀丽斑叶兰,Goodyera vittata,刘林翰,15157,19621013,湖南省,0~1200,,直立草本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0647380.jpg,,,,,,,,,, +,Goodyera yunnanensis,,,,,,,,,,,,,,,,,,, +,Gymnadenia bicornis,,,,,,,,,,,,,,,,,,, +手参,Gymnadenia conopsea,黄学文,乌丽莎,Huangxw1344,20120714,内蒙古,687,草地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1393934.jpg,,,,,,,,,, +手参,Gymnadenia conopsea,王崇书等,1269,19580709,辽宁省,,生于林隙空地的草地中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00339703.jpg,,,,,,,,,, +手参,Gymnadenia conopsea,,0,1957,黑龙江,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0050773.jpg,,,,,,,,,, +,Gymnadenia crassinervis,,,,,,,,,,,,,,,,,,, +西南手参,Gymnadenia orchidis,孙航,张建文,董金龙,李国栋,周卓,徐波,陈林杨,彭德力,邓涛,陈光富,欧阳铖人,SunH-07ZX-3928,20110925,四川,3739,高山草甸溪边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393938.jpg,,,,,,,,,, +西南手参,Gymnadenia orchidis,"刘杰, 罗亚皇, 刘基男, 谭少林",YMT3800-1-1013,20130620,云南,3801,冷杉-川滇高山栎-杜鹃林,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1457501.jpg,,,,,,,,,, +西南手参,Gymnadenia orchidis,"Jin Xh,Wang LS,Wang Q et al.",ST1708,20130802,云南省,2700~3700,conifer forest to apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02002579.jpg,,,,,,,,,, +羽节蕨,Gymnocarpium jessoense,Tsugiwo Yamanaka,11288,19530729,,1280~1460,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01953367.jpg,,,,,,,,,, +羽节蕨,Gymnocarpium jessoense,PE-NIBR Changbaishan Exped.,225-14,20140609,吉林省,482,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02037901.jpg,,,,,,,,,, +羽节蕨,Gymnocarpium jessoense,赤峰采集队,2-059,20080726,内蒙古自治区,,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02012007.jpg,,,,,,,,,, +东亚羽节蕨,Gymnocarpium oyamense,D.E.Boufford et al.,26310,19940528,河南省,1300~900,In rock crevices,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01595362.jpg,,,,,,,,,, +东亚羽节蕨,Gymnocarpium oyamense,巴山采集队,1323,20080709,重庆市,1630,路边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01861174.jpg,,,,,,,,,, +东亚羽节蕨,Gymnocarpium oyamense,禹平华,s.n.,19570000,贵州省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00751957.jpg,,,,,,,,,, +毛叶黑桫椤,Gymnosphaera andersonii,黄自云,C320038,20080410,云南省,570,蕨类园,草本,,https://image.cvh.ac.cn/files/l/HITBC/0024436.jpg,,,,,,,,,, +毛叶黑桫椤,Gymnosphaera andersonii,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4456,20160913,西藏,758,疏林下,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136626.jpg,,,,,,,,,, +毛叶黑桫椤,Gymnosphaera andersonii,商辉、罗俊杰,SG1960,20170621,云南,978,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0142048.jpg,,,,,,,,,, +,Gymnosphaera khasyana,张宪春,3067,20030907,云南省,1600,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02055717.jpg,,,,,,,,,, +西亚黑桫椤,Gymnosphaera khasyana,赵子恩,9324,20050115,云南,1600,山坡林中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0185043.jpg,,,,,,,,,, +,Gynostemma aggregatum,,,,,,,,,,,,,,,,,,, +,Habenaria acianthoides,,,,,,,,,,,,,,,,,,, +凸孔玉凤花,Habenaria acuifera,李振宇,1651,19770904,福建省,,阴湿沟旁,,有花无果,https://image.cvh.ac.cn/files/l/AU/003640.jpg,,,,,,,,,, +凸孔坡参,Habenaria acuifera,,8372,19310000,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01720146.jpg,,,,,,,,,, +凸孔坡参,Habenaria acuifera,广西队,221,19550603,广西壮族自治区,200~500,山地,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997838.jpg,,,,,,,,,, +落地金钱,Habenaria aitchisonii,亚吉东、刘成,15CS11179,20150831,云南,2035,石灰山,多年生生草本,,https://image.cvh.ac.cn/files/l/KUN/1393948.jpg,,,,,,,,,, +落地金钱,Habenaria aitchisonii,G.Forrest,3074,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0636126.jpg,,,,,,,,,, +落地金钱,Habenaria aitchisonii,云南考察队(金效华等),YN-ET1646,20090717,云南省,3000,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033559.jpg,,,,,,,,,, +毛瓣玉凤花,Habenaria arietina,FLPH Tibet Expedition,12-0679,20120907,西藏自治区,2850,铁杉树下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966810.jpg,,,,,,,,,, +毛瓣玉凤花,Habenaria arietina,G.Sengupta,1916,19650901,,0~2000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0636130.jpg,,,,,,,,,, +毛瓣玉凤花,Habenaria arietina,吕静,2585,20070900,江西,,,草本,无花有果,https://image.cvh.ac.cn/files/l/AU/AU073112.jpg,,,,,,,,,, +,Habenaria balfouriana,,,,,,,,,,,,,,,,,,, +长距玉凤花,Habenaria davidii,赵厚涛,70510013,20100812,贵州,,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0009627.jpg,,,,,,,,,, +长距玉凤花,Habenaria davidii,T.T.Yu,3537,1934/7/27,四川,1500,,herb,无花无果,https://image.cvh.ac.cn/files/l/WUK/0330458.jpg,,,,,,,,,, +长距玉凤花,Habenaria davidii,"税玉良,陈文红等",64323,20060814,云南省,2013,林缘山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867043.jpg,,,,,,,,,, +厚瓣玉凤花,Habenaria delavayi,George Forest,19032,19190800,西藏自治区,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0022638.jpg,,,,,,,,,, +厚瓣玉凤花,Habenaria delavayi,攀枝花苏铁考察队(杨永等),357,20100715,四川省,2147,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033550.jpg,,,,,,,,,, +厚瓣玉凤花,Habenaria delavayi,俞德俊,7558,,云南省 ,0~2800,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0635794.jpg,,,,,,,,,, +鹅毛玉凤花,Habenaria dentata,C.J.Maximowicz,1863,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01517066.jpg,,,,,,,,,, +鹅毛玉凤花,Habenaria dentata,程堂仁,张强英,郭治友等,H-黔三都-Z-0403,20101101,贵州,821,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00073405.jpg,,,,,,,,,, +鹅毛玉凤花,Habenaria dentata,于胜祥,YSX0252,20100827,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033566.jpg,,,,,,,,,, +,Habenaria digitata,,,,,,,,,,,,,,,,,,, +,Habenaria diplonema,,,,,,,,,,,,,,,,,,, +粉叶玉凤花,Habenaria glaucifolia,俞德俊,7559,,云南省 ,0~2800,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0635905.jpg,,,,,,,,,, +粉叶玉凤兰,Habenaria glaucifolia,"Jin Xh,Wang LS,Wang Q et al.",ST2554,20130808,西藏自治区,3400,高山灌丛和草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01978356.jpg,,,,,,,,,, +粉叶玉凤花,Habenaria glaucifolia,张挺,郭永杰,刘成等,10CS2250,20100805,四川,3272,"Roadside, SW-facing bank, 30° slope. Growing in mossy, rocky areas.",,,https://image.cvh.ac.cn/files/l/KUN/1393978.jpg,,,,,,,,,, +大花玉凤花,Habenaria intermedia,青藏队植被组,4687,19750717,西藏自治区,2600,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485182.jpg,,,,,,,,,, +大花玉凤花,Habenaria intermedia,W. Hancock F.L.S.,588,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028689.jpg,,,,,,,,,, +大花玉凤花,Habenaria intermedia,魏来、郝加琛,15447,20150729,西藏,3700,山坡草地,草本,,https://image.cvh.ac.cn/files/l/BNU/0025878.jpg,,,,,,,,,, +,Habenaria josephi,,,,,,,,,,,,,,,,,,, +坡参,Habenaria linguella,陈念劬,43604,19320819,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00145934.jpg,,,,,,,,,, +坡参,Habenaria linguella,符国瑗,138785,19661000,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0635970.jpg,,,,,,,,,, +坡参,Habenaria linguella,孟连调查队,9686,19730725,云南省,0~1600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0635984.jpg,,,,,,,,,, +,Habenaria mairei,,,,,,,,,,,,,,,,,,, +丝瓣玉凤花,Habenaria pantlingiana,刘心祈,27999,19361014,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00145944.jpg,,,,,,,,,, +丝瓣玉凤花,Habenaria pantlingiana,李剑武,4380,20150728,云南,1800,石灰山,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028928.jpg,,,,,,,,,, +丝瓣玉凤花,Habenaria pantlingiana,"滩散组,黎廷芝",1320,19761003,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI048375.jpg,,,,,,,,,, +剑叶玉凤花,Habenaria pectinata,朱鑫鑫;王君;王美华;林庶;许敏;多吉;尼玛顿珠,ZXX201400,20200801,西藏,2300,岩坡上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508700.jpg,,,,,,,,,, +剑叶玉凤花,Habenaria pectinata,张泽云等,22882,19570716,四川省,0~2650,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0635881.jpg,,,,,,,,,, +剑叶玉凤花,Habenaria pectinata,邱炳云,55044,19570825,云南省,0,,herb,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0635895.jpg,,,,,,,,,, +狭瓣玉凤花,Habenaria stenopetala,高锡朋,51358,19310416,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00728241.jpg,,,,,,,,,, +狭瓣玉凤花,Habenaria stenopetala,张挺,亚吉东,杨娅娟,陈凯,16CS13924,20161015,四川,2355,河谷林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1439476.jpg,,,,,,,,,, +狭瓣玉凤花,Habenaria stenopetala,陈真传,1009,20010812,云南省,3300,山坡、野生,草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00058141.jpg,,,,,,,,,, +,Habenaria szechuanica,,,,,,,,,,,,,,,,,,, +,Habenaria tibetica,,,,,,,,,,,,,,,,,,, +,Habenaria wolongensis,,,,,,,,,,,,,,,,,,, +异型假鹤虱,Hackelia difformis,PE西藏考察队,7171,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332559.jpg,,,,,,,,,, +异型假鹤虱,Hackelia difformis,高信芬、涂卫国、乔永康、何海,7481,20030920,西藏,3800,高山灌丛草地,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0180938.jpg,,,,,,,,,, +球穗草,Hackelochloa granularis,萧百中,4593,20050824,湖南省,550,山麓 红壤 光 中 湿度 湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/01645619.jpg,,,,,,,,,, +球穗草,Hackelochloa granularis,"刘心祈; Lau,S.K.",4234,1934/8/8,广西; Guangxi,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00003081.jpg,,,,,,,,,, +球穗草,Hackelochloa granularis,Tsang & Fung,689,1929/8/8,海南; Hainan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00003089.jpg,,,,,,,,,, +丝裂碱毛茛,Halerpestes filisecta,PE西藏考察队,7281,20180615,西藏自治区,4458,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332549.jpg,,,,,,,,,, +丝裂碱毛茛,Halerpestes filisecta,林有润,80-112,1980-09-,青海省,3200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087774.jpg,,,,,,,,,, +丝裂碱毛茛,Halerpestes filisecta,青藏队,9732,19760718,西藏,4800,山沟草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/365164.jpg,,,,,,,,,, +带状书带蕨,Haplopteris doniana,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07398,20160915,西藏,1549,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135857.jpg,,,,,,,,,, +带状书带蕨,Haplopteris doniana,覃营、袁泉等,QC1043,20191102,广西,~,山地,疏林,湿土,石上;少见,直立草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00437176.jpg,,,,,,,,,, +带状书带蕨,Haplopteris doniana,严岳鸿、齐新萍,YYH13013,20130903,西藏自治区,2400,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0087180.jpg,,,,,,,,,, +唇边书带蕨,Haplopteris elongata,田代科等,TDK3433,20171001,西藏,670,常绿阔叶林下石壁上,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0154464.jpg,,,,,,,,,, +唇边书带蕨,Haplopteris elongata,金摄郎、王莹,YYH13241,20140419,广西省,660,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0066018.jpg,,,,,,,,,, +,Haplopteris elongata,"魏雪苹,卫然",WXP091,20101220,海南省,720,林下石生,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01870407.jpg,,,,,,,,,, +书带蕨,Haplopteris flexuosa,周喜乐,严岳鸿,王莹,张九兵,ZXL07149,20151022,云南,2209,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0115647.jpg,,,,,,,,,, +书带蕨,Haplopteris flexuosa,商辉、顾钰峰,SG066,20140407,福建省,1350,阔叶林下,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0018440.jpg,,,,,,,,,, +书带蕨,Haplopteris flexuosa,,,19871108,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00059867.jpg,,,,,,,,,, +海南书带蕨,Haplopteris hainanensis,金摄郎,JSL3668,20160211,广西省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0118304.jpg,,,,,,,,,, +喜马拉雅书带蕨,Haplopteris himalayensis,汪永泽等,287,19810930,西藏自治区,2700,林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/XZ/XZ0000209.jpg,,,,,,,,,, +,Haplopteris linearifolia,"张宪春,蒋日红,魏雪苹等",6338,20100920,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01870399.jpg,,,,,,,,,, +,Haplopteris linearifolia,FLPH Tibet Expedition,12-0942,20120904,西藏自治区,,,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01962816.jpg,,,,,,,,,, +线叶书带蕨,Haplopteris linearifolia,蔡杰,刘恩德,郭永杰,13CS7682,20130531,西藏,2225,树上,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1405874.jpg,,,,,,,,,, +细叶书带蕨,Haplopteris mediosora,张代贵,zdg9935,20140114,湖南省,519,疏林,,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU04389.jpg,,,,,,,,,, +中囊书带蕨,Haplopteris mediosora,吴磊,4897,20140616,云南省,,山谷密林,草本,,https://image.cvh.ac.cn/files/l/BNU/0018366.jpg,,,,,,,,,, +,Haplopteris mediosora,X.C.Zhang,4978,20071005,西藏自治区,2800,on rocks,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02065178.jpg,,,,,,,,,, +锡金书带蕨,Haplopteris sikkimensis,刘成,蔡杰,张书东,13CS6447,20130528,西藏,770,林缘路边,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1405875.jpg,,,,,,,,,, +,Haplopteris sikkimensis,胡君,熊豫宁,伍小刚,王东超,HJ04931,20151026,西藏自治区,2800,附生于树干上,附生蕨类,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00593359.jpg,,,,,,,,,, +,Haplopteris sikkimensis,石国良,13354,19780412,广东省,,山谷丛林,,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0426336.jpg,,,,,,,,,, +,Haplopteris taeniophylla,,,,,,,,,,,,,,,,,,, +,Haplopteris zosterifolia,"Dirk N.Karger,Michael Kessler",DNK189,20090618,,1100,on the western slope of the mountain mountain cloud forest valcanic soil,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02038878.jpg,,,,,,,,,, +双唇书带蕨,Haplopteris zosterifolia,刘成,蔡杰,张书东,13CS6445,20130528,西藏,770,林缘路边,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1405876.jpg,,,,,,,,,, +单球芹,Haplosphaera phaea,,23263,19590826,云南省,3900,杜鹃冷杉林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575767.jpg,,,,,,,,,, +单球芹,Haplosphaera phaea,,842,,四川,,草坝,,无花有果,https://image.cvh.ac.cn/files/l/SM/SM715002323.jpg,,,,,,,,,, +单球芹,Haplosphaera phaea,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075127.jpg,,,,,,,,,, +细裂芹,Harrysmithia heterophylla,Harry Smith,10804,19340729,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756358.jpg,,,,,,,,,, +细裂芹,Harrysmithia heterophylla,张代贵,80504004,20080504,湖南张家界,,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU66613.jpg,,,,,,,,,, +,Harrysmithia heterophylla,王乾、顾健,SCW1011,20190816,四川,2547,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0266732.jpg,,,,,,,,,, +,Hedychium aureum,,,,,,,,,,,,,,,,,,, +碧江姜花,Hedychium bijiangense,H.T.Tsai,58471,1934.9.11.,云南,3200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005271.jpg,,,,,,,,,, +,Hedychium bijiangense,H. T. Tsai,58471,1934/9/11,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00030665.jpg,,,,,,,,,, +碧江姜花,Hedychium bijiangense,孙航等,1375,19921115,西藏,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/424702.jpg,,,,,,,,,, +红姜花,Hedychium coccineum,韦占业,261,19560920,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00137636.jpg,,,,,,,,,, +红姜花,Hedychium coccineum,方鼎,25685,19780725,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI045243.jpg,,,,,,,,,, +红姜花,Hedychium coccineum,青藏队,74-1747,19740810,西藏自治区,1260,山坡.灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00074952.jpg,,,,,,,,,, +姜花,Hedychium coronarium,刘正宇、张军等,S-3788-01,20171103,重庆,789,溪边,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051466.jpg,,,,,,,,,, +姜花,Hedychium coronarium,Tsang W.T,21339,19320804,广东省,,"Fairly common;sandy soil,swamp,garden",,有花无果,https://image.cvh.ac.cn/files/l/PE/00074967.jpg,,,,,,,,,, +姜花,Hedychium coronarium,,教28,19560000,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00074953.jpg,,,,,,,,,, +密花姜花,Hedychium densiflorum,,76-479,19760806,西藏自治区,,铁杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790326.jpg,,,,,,,,,, +密花姜花,Hedychium densiflorum,杨竞生,90-286,1990-07-,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0111326.jpg,,,,,,,,,, +密花姜花,Hedychium densiflorum,王汉臣,2457,1942-08-,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0116331.jpg,,,,,,,,,, +无丝姜花,Hedychium efilamentosum,许建初,42417,19880531,西藏自治区,0,林下,,,https://image.cvh.ac.cn/files/l/KUN/1268370.jpg,,,,,,,,,, +无丝姜花,Hedychium efilamentosum,白洪兵、海仙,5333241812041181LY,20181204,云南,1730,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009664.jpg,,,,,,,,,, +无丝姜花,Hedychium efilamentosum,"刘成, 亚吉东",18CS17204,20181118,西藏,1742,次生林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486756.jpg,,,,,,,,,, +,Hedychium ellipticum,孟连调查队,10311,19730804,云南省,1600,疏林干燥,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790331.jpg,,,,,,,,,, +,Hedychium ellipticum,J.F.Maxwell ,95-673,19950912,,1525,shaded and presently moist places on rugged limestone bouldera in mixed evergreen deciduous harawood forest at the base of a limestone,,有花无果,https://image.cvh.ac.cn/files/l/PE/00074984.jpg,,,,,,,,,, +黄姜花,Hedychium flavum,"刘成|920, 亚吉东|1657, 何华杰|7259, 李昌洪|7990, 杨永平|730, 杨云珊",16CS11875,20161113,西藏,,中山湿性常绿阔叶林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1441150.jpg,,,,,,,,,, +黄姜花,Hedychium flavum,龙滩考察队,707,19861100,贵州省,580,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00211675.jpg,,,,,,,,,, +黄姜花,Hedychium flavum,"李渤生,程树志",1626,19821101,西藏自治区,1600~2000,常绿阔叶林下常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376897.jpg,,,,,,,,,, +圆瓣姜花,Hedychium forrestii,中越考察队,548,19641218,,75,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075045.jpg,,,,,,,,,, +圆瓣姜花,Hedychium forrestii,Y.Tsiang,12404,19330400,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00556469.jpg,,,,,,,,,, +圆瓣姜花,Hedychium forrestii,北京队,896915,19890909,广西壮族自治区,500,山坡、林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02018407.jpg,,,,,,,,,, +,Hedychium gardnerianum,Kit Yock CHAN,1167,19730807,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790274.jpg,,,,,,,,,, +,Hedychium gardnerianum,Otto DEGENER ,36145,19840100,,1667,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01723108.jpg,,,,,,,,,, +,Hedychium gomezianum,,,,,,,,,,,,,,,,,,, +,Hedychium gracile,,,,,,,,,,,,,,,,,,, +,Hedychium gracillimum,,,,,,,,,,,,,,,,,,, +,Hedychium longipedunculatum,,,,,,,,,,,,,,,,,,, +,Hedychium mechukanum,,,,,,,,,,,,,,,,,,, +小苞姜花,Hedychium parvibracteatum,,76-542,19760819,西藏自治区,2400,阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790327.jpg,,,,,,,,,, +小苞姜花,Hedychium parvibracteatum,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2601,20090924,西藏,2300,林下,路旁,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390951.jpg,,,,,,,,,, +,Hedychium radiatum,,,,,,,,,,,,,,,,,,, +,Hedychium raoi,,,,,,,,,,,,,,,,,,, +,Hedychium robustum,,,,,,,,,,,,,,,,,,, +小花姜花,Hedychium sinoaureum,童绍全,3076,19830808,云南省,1800,山坡石上,,,https://image.cvh.ac.cn/files/l/KUN/1268379.jpg,,,,,,,,,, +,Hedychium sinoaureum,"Forrest, George",6914,10-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00149993.jpg,,,,,,,,,, +小花姜花,Hedychium sinoaureum,张挺,孙之星等,SCSB-B-000431,20070819,云南,1918,季风常绿阔叶林山坡林缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390944.jpg,,,,,,,,,, +草果药,Hedychium spicatum,T.T.Yu,10920,19371111,云南省,2200,壳斗林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075248.jpg,,,,,,,,,, +草果药,Hedychium spicatum,"党成忠,党平",523,19860719,贵州省,900,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010818.jpg,,,,,,,,,, +草果药,Hedychium spicatum,Ho-Chang Chow,1992,19341118,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075080.jpg,,,,,,,,,, +疏花草果药,Hedychium spicatum var. acuminatum,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201132,20200722,西藏,2262,河边草丛中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507183.jpg,,,,,,,,,, +疏花草果药,Hedychium spicatum var. acuminatum,"李渤生,李辉",13157,19900828,西藏自治区,2100~2400,乔松林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506812.jpg,,,,,,,,,, +疏花草果药,Hedychium spicatum var. acuminatum,赵清盛、胡刚,7984,1978-8 1,四川省,1750,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0170086.jpg,,,,,,,,,, +,Hedychium stenopetalum,钱义咏 ,1813,1988-09-,云南省,1400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0116330.jpg,,,,,,,,,, +,Hedychium thyrsiforme,,,,,,,,,,,,,,,,,,, +毛姜花,Hedychium villosum,,51950,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033241.jpg,,,,,,,,,, +毛姜花,Hedychium villosum,刘心祈,26565,19360430,海南省 ,0,林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/425005.jpg,,,,,,,,,, +毛姜花,Hedychium villosum,T.T.Yu,20467,19380926,四川省,1200,margin of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075285.jpg,,,,,,,,,, +,Hedychium wardii,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14467,20161116,西藏,1135,竹林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1459234.jpg,,,,,,,,,, +滇姜花,Hedychium yunnanense,杨竞生,90-285,1990-07-,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0116338.jpg,,,,,,,,,, +滇姜花,Hedychium yunnanense,T.T.Yu,20135,19380905,云南省,1600,Under mixed forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075302.jpg,,,,,,,,,, +滇姜花,Hedychium yunnanense,税玉民、陈文红、盛家舒,30020,20021002,贵州,,路旁,灌木,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0002674.jpg,,,,,,,,,, +,Hedysarum algidum,,,,,,,,,,,,,,,,,,, +,Hedysarum citrinum,,,,,,,,,,,,,,,,,,, +,Hedysarum fistulosum,,,,,,,,,,,,,,,,,,, +,Hedysarum jinchuanense,,,,,,,,,,,,,,,,,,, +,Hedysarum limitaneum,,,,,,,,,,,,,,,,,,, +,Hedysarum longigynophorum,,,,,,,,,,,,,,,,,,, +,Hedysarum nagarzense,,,,,,,,,,,,,,,,,,, +,Hedysarum pseudoastragalus,,,,,,,,,,,,,,,,,,, +,Hedysarum tanguticum,,,,,,,,,,,,,,,,,,, +,Hedysarum thiochroum,,,,,,,,,,,,,,,,,,, +,Hedysarum trigonomerum,,,,,,,,,,,,,,,,,,, +,Hedysarum xizangense,,,,,,,,,,,,,,,,,,, +,Helichrysum kashgaricum,,,,,,,,,,,,,,,,,,, +西藏山龙眼,Helicia tibetensis,"李渤生,程树志,倪志诚",1800-2100,19830520,西藏自治区,1800~2100,常绿阔叶林中常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073310.jpg,,,,,,,,,, +西藏山龙眼,Helicia tibetensis,"刘成, 亚吉东",18CS17282,20181124,西藏,1636,常绿阔叶林下林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487480.jpg,,,,,,,,,, +西藏山龙眼,Helicia tibetensis,陶国达,24220,19840415,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/099761.jpg,,,,,,,,,, +,Helictotrichon delavayi,林业部调查设计局综合调查队,204IV,19550604,四川,3486,叮咚高山杜林下,,有花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00041014.jpg,,,,,,,,,, +云南异燕麦,Helictotrichon delavayi,中国科学院西南综考队接壤分队,1032,19650924,四川省,3500,草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929877.jpg,,,,,,,,,, +云南异燕麦,Helictotrichon delavayi,J.F.Rock,5955,19225-10,云南省 ,,,grass,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00522312.jpg,,,,,,,,,, +变绿异燕麦,Helictotrichon junghuhnii,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191319,20190917,云南,3167,亚热带针叶林,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483673.jpg,,,,,,,,,, +变绿异燕麦,Helictotrichon junghuhnii,陈家辉,韩希,王东超,王广艳,杨大松,李资磊,张春林,陶云芬,YangYP-Q-4052,20110830,西藏,3898,林下草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402235.jpg,,,,,,,,,, +,Helictotrichon junghuhnii,,5794,19310903,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01674140.jpg,,,,,,,,,, +长稃异燕麦,Helictotrichon polyneurum,钟补求,7332,19520725,西藏自治区,,地边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536536.jpg,,,,,,,,,, +长稃异燕麦,Helictotrichon polyneurum,滇西北金沙江队,6043,19630723,云南省,3200,山坡亚高山针阔?林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536532.jpg,,,,,,,,,, +长稃异燕麦,Helictotrichon polyneurum,,14785,19760908,四川省,3500,草地中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536530.jpg,,,,,,,,,, +短药异燕麦,Helictotrichon potaninii,应俊生,9690,19610724,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00536539.jpg,,,,,,,,,, +粗糙异燕麦,Helictotrichon schmidii,汤宗孝,382,19810615,云南省,2400,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01607147.jpg,,,,,,,,,, +粗糙异燕麦,Helictotrichon schmidii,汤宗孝,1848,19830828,四川省,3650,亚高山草原化草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607140.jpg,,,,,,,,,, +,Helictotrichon schmidii,高信芬、涂卫国、乔永康、何海,7228,20030911,西藏,3050,松林下,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0197642.jpg,,,,,,,,,, +藏异燕麦,Helictotrichon tibeticum,王文中,3029,19540701,甘肃省,,水旁 草本,,无花无果,https://image.cvh.ac.cn/files/l/PE/01827273.jpg,,,,,,,,,, +藏异燕麦,Helictotrichon tibeticum,,105,19640619,青海省,4500,山地阴坡向阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082946.jpg,,,,,,,,,, +藏异燕麦,Helictotrichon tibeticum,刘全儒,HLS125,2005/7/23,内蒙古,2800~2900,,,,https://image.cvh.ac.cn/files/l/BNU/009244.jpg,,,,,,,,,, +,Hellenia oblonga,,,,,,,,,,,,,,,,,,, +闭鞘姜,Hellenia speciosa,吕惠珍、黄宝优、李金花,451023151011051LY,20151011,广西,,灌丛,林缘,石灰土,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0180781.jpg,,,,,,,,,, +,Hellenia speciosa,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180375,20181106,Mon State,,,Herb,有花无果,https://image.cvh.ac.cn/files/l/KUN/1498715.jpg,,,,,,,,,, +,Hemarthria vaginata,安明态,10125,20030508,贵州省,700,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246267.jpg,,,,,,,,,, +具鞘牛鞭草,Hemarthria vaginata,梁庆,160,20060519,广东省,,海边沙地,蔓生草本,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00059268.jpg,,,,,,,,,, +黄花菜,Hemerocallis citrina,廉永善等,95336,19950812,甘肃省,1200,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01594081.jpg,,,,,,,,,, +,Hemerocallis citrina,,91,19321008,安徽省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00546967.jpg,,,,,,,,,, +黄花菜,Hemerocallis citrina,陈延松,欧祖兰,高秋晨,许伟等,XuZD262,20110716,安徽,273,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391834.jpg,,,,,,,,,, +西南萱草,Hemerocallis forrestii,北京所横断山队,1233,19810709,云南省,1800,生于水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01538134.jpg,,,,,,,,,, +西南萱草,Hemerocallis forrestii,,127,19780603,四川,1400,屋侧地边,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM722202737.jpg,,,,,,,,,, +西南萱草,Hemerocallis forrestii,毕节队,257,19590711,贵州省,1800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01318043.jpg,,,,,,,,,, +萱草,Hemerocallis fulva,"李世英,汤彦承,徐连旺",185,19520703,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01552394.jpg,,,,,,,,,, +萱草,Hemerocallis fulva,H.W.Kung,793,19300729,辽宁省,200,damp place near ditch,,有花无果,https://image.cvh.ac.cn/files/l/PE/00152676.jpg,,,,,,,,,, +萱草,Hemerocallis fulva,单汉荣,6298,19990602,江西,800,山坡,草丛,路边,沟边,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00617243.jpg,,,,,,,,,, +,Hemerocallis nana,George Forrest,20424,1922,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/033658.jpg,,,,,,,,,, +矮萱草,Hemerocallis nana,georgb forrest,,19210600,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/038021585.jpg,,,,,,,,,, +矮萱草,Hemerocallis nana,George Forrest,20424,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00153133.jpg,,,,,,,,,, +法氏半脊荠,Hemilophia franchetii,昆明工作站,22400,19590713,云南省,3250,山坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01054891.jpg,,,,,,,,,, +,Hemilophia franchetii,"Rock, J.F.",24993,Apr-32,,,,,,https://image.cvh.ac.cn/files/l/E/E00083284.jpg,,,,,,,,,, +半脊荠,Hemilophia pulchella,北京所横断山队,2257,19810729,云南省,4100,高山 石壁上及流石坡大块砾石下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01109499.jpg,,,,,,,,,, +半脊荠,Hemilophia pulchella,李帅等,20167302,20160722,西藏自治区,4566,草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0030752.jpg,,,,,,,,,, +半脊荠,Hemilophia pulchella,武素功等,1198,19971018,广西壮族自治区,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0532579.jpg,,,,,,,,,, +,Hemilophia rockii,"Rock, Joseph Francis Charles",5552,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00733113.jpg,,,,,,,,,, +小叶半脊荠,Hemilophia rockii,俞德俊,6479,19370620,四川省,3900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01054894.jpg,,,,,,,,,, +小叶半脊荠,Hemilophia rockii,木里队,884,19790606,四川,4000,草地,溪涧,阴湿,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705800632.jpg,,,,,,,,,, +无柄叶半脊荠,Hemilophia sessilifolia,"Meyer,J.J.",99,19940330,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01054881.jpg,,,,,,,,,, +无柄叶半脊荠,Hemilophia sessilifolia,张建文,杨斌,陈洪梁,Zh926,20130913,四川省,4270,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1260796.jpg,,,,,,,,,, +无柄叶半脊荠,Hemilophia sessilifolia,PE西藏队,PE6514,20170912,西藏自治区,3588,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309597.jpg,,,,,,,,,, +心叶舌喙兰,Hemipilia cordifolia,青藏队,6303,19750712,西藏自治区,2400,山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00340869.jpg,,,,,,,,,, +心叶舌喙兰,Hemipilia cordifolia,E.H. Wilson,2248,,湖北; HUPEH,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028749.jpg,,,,,,,,,, +,Hemipilia cordifolia,P. G. Farges,1200,1893-8,,1400,,,,https://image.cvh.ac.cn/files/l/NY/00579394.jpg,,,,,,,,,, +扇唇舌喙兰,Hemipilia flabellata,E.E.Maire,656,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0636161.jpg,,,,,,,,,, +扇唇舌喙兰,Hemipilia flabellata,"周洪富,粟和毅",108754,19640706,重庆市,700,路旁阴湿岩边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00340950.jpg,,,,,,,,,, +扇唇舌喙兰,Hemipilia flabellata,"周洪富,粟和毅",108754,1964/7/6,四川,700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0237725.jpg,,,,,,,,,, +,Hemipilia forrestii,,,,,,,,,,,,,,,,,,, +,Hemipilia purpureopunctata,,,,,,,,,,,,,,,,,,, +,Hemsleya dulongjiangensis,,,,,,,,,,,,,,,,,,, +,Hemsleya endecaphylla,,,,,,,,,,,,,,,,,,, +,Hemsleya gigantha,,,,,,,,,,,,,,,,,,, +,Hemsleya lijiangensis,,,,,,,,,,,,,,,,,,, +,Heracleum forrestii,"Forrest, George",13115,14-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00002771.jpg,,,,,,,,,, +中甸独活,Heracleum forrestii,C.W.Wang,68472,19350800,云南省,3600,Mountain slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/00756555.jpg,,,,,,,,,, +中甸独活,Heracleum forrestii,倪志诚等,253,19800627,西藏自治区,2300,河谷灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01941636.jpg,,,,,,,,,, +聂拉木独活,Heracleum nyalamense,PE西藏考察队,7514,20180617,西藏自治区,3821,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332787.jpg,,,,,,,,,, +聂拉木独活,Heracleum nyalamense,,900,19590600,,3800,空旷之湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01881806.jpg,,,,,,,,,, +聂拉木独活,Heracleum nyalamense,"张永洪, 李国栋, 王晓雄",SunH-07ZX-1738,20080922,西藏,,高山灌丛,草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336492.jpg,,,,,,,,,, +山地独活,Heracleum oreocharis,T.P.Wang,1349,19330724,陕西省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00037691.jpg,,,,,,,,,, +山地独活,Heracleum oreocharis,岳俊三,宋国杰,庄体德,64050,19640827,四川省,2920,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00024724.jpg,,,,,,,,,, +山地独活,Heracleum oreocharis,秦仁昌,23878,19290811,云南省,2850,杂林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01881710.jpg,,,,,,,,,, +康定独活,Heracleum souliei,蓝顺彬,121,19840814,云南省,3000,山坡湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01575764.jpg,,,,,,,,,, +康定独活,Heracleum souliei,"胡文光,何铸",10367,19510717,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756853.jpg,,,,,,,,,, +康定独活,Heracleum souliei,Tso-Pin Wang,5520,,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00024787.jpg,,,,,,,,,, +腾冲独活,Heracleum stenopteroides,,57382,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756856.jpg,,,,,,,,,, +腾冲独活,Heracleum stenopteroides,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075141.jpg,,,,,,,,,, +腾冲独活,Heracleum stenopteroides,蔡希陶,,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00030829.jpg,,,,,,,,,, +狭翅独活,Heracleum stenopterum,赵锡光,30348,19390704,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756859.jpg,,,,,,,,,, +狭翅独活,Heracleum stenopterum,联大,20026,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0462335.jpg,,,,,,,,,, +狭翅独活,Heracleum stenopterum,,559,,四川,,路旁草地,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715002490.jpg,,,,,,,,,, +微绒毛独活,Heracleum subtomentellum,青藏队,76-9163,19760905,西藏自治区,4400,河谷滩地,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/01843423.jpg,,,,,,,,,, +微绒毛独活,Heracleum subtomentellum,潘泽惠,袁昌齐等,84,19841003,云南省,2200,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00023680.jpg,,,,,,,,,, +微绒毛独活,Heracleum subtomentellum,闫平 刘鸯,7138,20080809,新疆维吾尔自治区,3650,山谷,石坡,多年生,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00578881.jpg,,,,,,,,,, +汶川独活,Heracleum wenchuanense,岳俊三,宋国杰,庄体德,64171,19640916,四川省,2800,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00022027.jpg,,,,,,,,,, +卧龙独活,Heracleum wolongense,何兴金,H017,1990-6 2,四川省,2050,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172423.jpg,,,,,,,,,, +小金独活,Heracleum xiaojinense,四川植被队,9765,1975-8 1,四川省,3800,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102212.jpg,,,,,,,,,, +永宁独活,Heracleum yungningense,C.W.Wang,68472,1935/08/,云南,3300,,herbs,有花无果,https://image.cvh.ac.cn/files/l/WUK/0044774.jpg,,,,,,,,,, +永宁独活,Heracleum yungningense,王作宾,14707,1951/8/4,甘肃,2600,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0033987.jpg,,,,,,,,,, +永宁独活,Heracleum yungningense,蔡希陶,57428,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0462358.jpg,,,,,,,,,, +裂瓣角盘兰,Herminium alaschanicum,"川西队,关克俭,王文采等",628,19630717,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766506.jpg,,,,,,,,,, +裂瓣角盘兰,Herminium alaschanicum,"马毓泉,吴庆如",65-133,19650715,内蒙古自治区,1800,向阳山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766467.jpg,,,,,,,,,, +裂瓣角盘兰,Herminium alaschanicum,Harry Smith,6660,19210724,山西省,1800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01867312.jpg,,,,,,,,,, +,Herminium carnosilabre,,,,,,,,,,,,,,,,,,, +,Herminium chloranthum,,,,,,,,,,,,,,,,,,, +,Herminium clavigerum,,,,,,,,,,,,,,,,,,, +条叶角盘兰,Herminium coiloglossum,A. Henry,13556,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028546.jpg,,,,,,,,,, +条叶角盘兰,Herminium coiloglossum,M.K.Li,449,1939/10/11,云南,1660,,herb,无花无果,https://image.cvh.ac.cn/files/l/WUK/0244558.jpg,,,,,,,,,, +条叶角盘兰,Herminium coiloglossum,刘慎谔,19380,19401017,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766464.jpg,,,,,,,,,, +,Herminium ecalcaratum,,,,,,,,,,,,,,,,,,, +,Herminium edgeworthii,,,,,,,,,,,,,,,,,,, +,Herminium glossophyllum,,,,,,,,,,,,,,,,,,, +,Herminium humidicola,,,,,,,,,,,,,,,,,,, +,Herminium jaffreyanum,,,,,,,,,,,,,,,,,,, +宽唇角盘兰,Herminium josephii,海仙,刘景欣,李红,肖茂荣,HB2007-107,20070929,云南省,2420,云南松林下群落,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 004391.jpg,,,,,,,,,, +宽卵角盘兰,Herminium josephii,余奇,熊静,CIBYQ072B008,20190620,四川,3261,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1502102.jpg,,,,,,,,,, +宽卵角盘兰,Herminium josephii,亚吉东;张荣桢;张捷;陈琪,19CS18601,20190905,云南,3118,云南松林草地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1552656.jpg,,,,,,,,,, +,Herminium kamengense,,,,,,,,,,,,,,,,,,, +叉唇角盘兰,Herminium lanceum,江西调查队,708,19540000,江西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00341043.jpg,,,,,,,,,, +叉唇角盘兰,Herminium lanceum,李明生,239,1979/6/3,福建,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0415348.jpg,,,,,,,,,, +叉唇角盘兰,Herminium lanceum,简焯坡等,55,19630618,贵州省,1280,山坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911396.jpg,,,,,,,,,, +,Herminium latilabre,PE西藏队,PE5751,20170903,西藏自治区,1683~2900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891682.jpg,,,,,,,,,, +,Herminium longilobatum,,,,,,,,,,,,,,,,,,, +耳片角盘兰,Herminium macrophyllum,PE-西藏队,803,20100810,西藏自治区,2800~3351,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866878.jpg,,,,,,,,,, +耳片角盘兰,Herminium macrophyllum,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485215.jpg,,,,,,,,,, +耳片角盘兰,Herminium macrophyllum,魏来、郝加琛,15450,20150729,西藏,3700,山坡草地,草本,,https://image.cvh.ac.cn/files/l/BNU/0025924.jpg,,,,,,,,,, +,Herminium monophyllum,,,,,,,,,,,,,,,,,,, +角盘兰,Herminium monorchis,E.H. Wilson,"4619,4639A",,Manchuria,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028552.jpg,,,,,,,,,, +角盘兰,Herminium monorchis,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1438-3101,20190814,宁夏,2129,山坡草地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1477201.jpg,,,,,,,,,, +角盘兰,Herminium monorchis,生物研究所西藏考察队,4081,19740820,新疆维吾尔自治区 ,3700,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00056404.jpg,,,,,,,,,, +,Herminium motuoensis,,,,,,,,,,,,,,,,,,, +,Herminium ophioglossoides,"Forrest, George",2466,6-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00188160.jpg,,,,,,,,,, +长瓣角盘兰,Herminium ophioglossoides,吴玉虎等,4978,19900727,青海省,3550,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791169.jpg,,,,,,,,,, +长瓣角盘兰,Herminium ophioglossoides,"Zhu, Chen, Xu,Wang",2451,20000624,陕西省,2600,bush wood,,有花无果,https://image.cvh.ac.cn/files/l/PE/01516980.jpg,,,,,,,,,, +秀丽角盘兰,Herminium quinquelobum,青藏队,9908,19820903,云南省,2200,常绿落叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01780955.jpg,,,,,,,,,, +宽萼角盘兰,Herminium souliei,"张挺, 刘成, 亚吉东",18CS17662,20180915,西藏,2231,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486553.jpg,,,,,,,,,, +宽萼角盘兰,Herminium souliei,FLPH Tibet Expedition,12-2059,,西藏自治区,3000~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967621.jpg,,,,,,,,,, +宽萼角盘兰,Herminium souliei,J.A. Soulie,407,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028549.jpg,,,,,,,,,, +,Herminium tibeticum,,,,,,,,,,,,,,,,,,, +,Herminium wangianum,,,,,,,,,,,,,,,,,,, +爬兰,Herpysma longicaulis,刘景欣,1266,20091111,云南,1803,森林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029717.jpg,,,,,,,,,, +爬兰,Herpysma longicaulis,藏东南考察队,SET-ET 1200,20090904,西藏自治区,1500,under forest,,无花无果,https://image.cvh.ac.cn/files/l/PE/01867372.jpg,,,,,,,,,, +爬兰,Herpysma longicaulis,"刘成, 亚吉东",18CS17201,20181118,西藏,1526,次生林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486739.jpg,,,,,,,,,, +滇南翻唇兰,Hetaeria affinis,李剑武,4343,20150401,云南,980,沟谷林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028905.jpg,,,,,,,,,, +,Hetaeria anomala,,,,,,,,,,,,,,,,,,, +青藏狗娃花,Heteropappus bowerii,"王庆瑞,晏民生",10746,19820907,甘肃省,3100,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825547.jpg,,,,,,,,,, +青藏狗娃花,Heteropappus bowerii,洪德元等,H97137,19970812,青海省,3000,Slope meadow by river,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825549.jpg,,,,,,,,,, +青藏狗娃花,Heteropappus bowerii,路飞英,,20130630,新疆,4093,,,,https://image.cvh.ac.cn/files/l/BNU/BNU0022594.jpg,,,,,,,,,, +黄茅,Heteropogon contortus,c.y.chiao,3624,19321006,安徽省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/019124421.jpg,,,,,,,,,, +黄茅,Heteropogon contortus,吴金清,马晓业,6428,20050924,湖北,,山路边,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0181428.jpg,,,,,,,,,, +黄茅,Heteropogon contortus,"Tsang,W.T.",23906,1934/7/7,广西; Guangxi,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00003354.jpg,,,,,,,,,, +,Hibiscus aridicola,,,,,,,,,,,,,,,,,,, +,Himalayacalamus collaris,,,,,,,,,,,,,,,,,,, +,Himalayacalamus falconeri,,,,,,,,,,,,,,,,,,, +束伞女蒿,Hippolytia desmantha,康藏考察队,10-1029,20100731,青海省,4072,岩石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234997.jpg,,,,,,,,,, +团伞女蒿,Hippolytia glomerata,"张永田,郞楷永",2442,19650902,西藏自治区,5400,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607111.jpg,,,,,,,,,, +垫状女蒿,Hippolytia kennedyi,PE西藏队,PE5404,20170830,西藏自治区,5067,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890092.jpg,,,,,,,,,, +垫状女蒿,Hippolytia kennedyi,徐国荣,23391,19800909,四川省,0~4800,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0595804.jpg,,,,,,,,,, +合头女蒿,Hippolytia syncalathiformis,FLPH Tibet Expedition,12-0436,20120911,西藏自治区,4800,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967530.jpg,,,,,,,,,, +大叶女蒿,Hippolytia yunnanensis,"杨亲二,孔宏智",98-453,19980922,云南省,3350,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797242.jpg,,,,,,,,,, +大叶女蒿,Hippolytia yunnanensis,青藏队,12324,19830723,四川省,3900~4000,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190809.jpg,,,,,,,,,, +大叶女蒿,Hippolytia yunnanensis,G.Forrest,22274,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607168.jpg,,,,,,,,,, +,Hippophae gyantsensis,,,,,,,,,,,,,,,,,,, +,Hippophae neurocarpa,,,,,,,,,,,,,,,,,,, +,Hiptage yunnanensis,,,,,,,,,,,,,,,,,,, +栗蕨,Histiopteris incisa,刘炳荣,50602,20050823,湖南省,470,溪边灌丛,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01785840.jpg,,,,,,,,,, +栗蕨,Histiopteris incisa,"林灯, 罗文启",LWX70012,20140621,海南,,热带低地雨林,草本,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/1457928.jpg,,,,,,,,,, +栗蕨,Histiopteris incisa,海南队,1915,19750106,海南省,,林下路边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01704418.jpg,,,,,,,,,, +,Holboellia medogensis,,,,,,,,,,,,,,,,,,, +,Holcoglossum himalaicum,,,,,,,,,,,,,,,,,,, +,Homalomena aromatica,,,,,,,,,,,,,,,,,,, +,Homalomena pendula,,,,,,,,,,,,,,,,,,, +,Homocodon pedicellatus,,,,,,,,,,,,,,,,,,, +野生六棱大麦,Hordeum agriocrithon,无,,19770800,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/IFP/15857999w0001.jpg,,,,,,,,,, +野生六棱大麦,Hordeum agriocrithon,F.H.Utech,456,19800716,Washington,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/385353.jpg,,,,,,,,,, +野生六棱大麦,Hordeum agriocrithon,徐廷义,,19640000,四川省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/019107334.jpg,,,,,,,,,, +短芒大麦草,Hordeum brevisubulatum,黄土队,3163,1985/7/6,宁夏,1370,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0462768.jpg,,,,,,,,,, +短芒大麦草,Hordeum brevisubulatum,黄学文,乌丽莎,Huangxw1074,20120603,内蒙古,619,河漫滩,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1402299.jpg,,,,,,,,,, +短芒大麦草,Hordeum brevisubulatum,于兆英,286,1982/8/14,宁夏回族自治区,1150,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0448639.jpg,,,,,,,,,, +栽培二棱大麦,Hordeum distichon,刘青等,180,20110510,云南省,0,田野,草本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0766222.jpg,,,,,,,,,, +栽培二棱大麦,Hordeum distichon,,s.n.,19130606,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01674383.jpg,,,,,,,,,, +栽培二棱大麦,Hordeum distichon,牧草组,194,19580628,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01608833.jpg,,,,,,,,,, +,Hordeum spontaneum var. proskowetzii,,,,,,,,,,,,,,,,,,, +,Hordeum vulgare,中德队,821,19560521,河南省,,阳处田中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00537739.jpg,,,,,,,,,, +大麦,Hordeum vulgare,邓志农,13416,1948-03-,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0114679.jpg,,,,,,,,,, +大麦,Hordeum vulgare,A.N.Steward,0,19220413,江苏,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0046040.jpg,,,,,,,,,, +,Hordeum vulgare var. coeleste,许炳强等,XiaNh-07zx-0,20100928,西藏自治区,0~3688,路边草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0765473.jpg,,,,,,,,,, +青稞,Hordeum vulgare var. coeleste,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201223,20200724,西藏,2236,垃圾堆上,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505331.jpg,,,,,,,,,, +藏青稞,Hordeum vulgare var. trifurcatum,周鹤昌,3630,19390000,,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/000051188.jpg,,,,,,,,,, +藏青稞,Hordeum vulgare var. trifurcatum,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201052,20200720,西藏,2173,路边荒地,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1506674.jpg,,,,,,,,,, +藏青稞,Hordeum vulgare var. trifurcatum,马兴中,22,19620428,四川省,500,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00120382.jpg,,,,,,,,,, +西藏大豆蔻,Hornstedtia tibetica,,2546,19740914,西藏自治区,650,热州山地季雨林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790340.jpg,,,,,,,,,, +西藏大豆蔻,Hornstedtia tibetica,青藏队,74-1913,19740811,西藏,810,山坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219292.jpg,,,,,,,,,, +,Horsfieldia amygdalina,李锡文,13024,19590915,云南省,690,沟谷密坡地,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0678371.jpg,,,,,,,,,, +,Horsfieldia amygdalina,,15,,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01986623.jpg,,,,,,,,,, +风吹楠,Horsfieldia amygdalina,C.W.Wang,76866,19360600,云南省 ,1300,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00322307.jpg,,,,,,,,,, +大叶风吹楠,Horsfieldia kingii,许为斌,黄至欢,陆奇丰,覃祖红,GXIBXWB008,20180320,广西,330,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1500241.jpg,,,,,,,,,, +大叶风吹楠,Horsfieldia kingii,王启无,80961,19361100,云南省,800,Mixed forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01187727.jpg,,,,,,,,,, +大叶风吹楠,Horsfieldia kingii,C.W.Wang,80961,19361100,云南省 ,800,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00078048.jpg,,,,,,,,,, +,Houpoea rostrata,"蔡杰,刘恩德,郭永杰",13CS7675,20130531,西藏自治区,2295,阔叶林林缘,开阔,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1372113.jpg,,,,,,,,,, +,Houttuynia cordata,何海文,杨锦超,YangXF0220,20130620,广西,560,北热带半常绿季雨林、湿润雨林地带山坡、沟谷林下荫湿处沟边、溪边或林下湿地上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1300582.jpg,,,,,,,,,, +蕺菜、鱼腥草,Houttuynia cordata,刘家宜,津0778,19781011,天津市,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00002428.jpg,,,,,,,,,, +蕺菜,Houttuynia cordata,崔祖锡等,161,20030815,台湾省,1100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01815349.jpg,,,,,,,,,, +,Hoya silvatica,C. W. Wang,66906,Oct-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00076425.jpg,,,,,,,,,, +山球兰,Hoya silvatica,王启无,66906,19351000,云南,2000,under forest,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1208950.jpg,,,,,,,,,, +山球兰,Hoya silvatica,北京植物所横断山队,709,19810621,云南省,2300,常绿阔叶林 爬树上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132926.jpg,,,,,,,,,, +,Hsenhsua chrysea,,,,,,,,,,,,,,,,,,, +,Huberantha cerasoides,,,,,,,,,,,,,,,,,,, +,Huperzia appressa,D.E.Boufford,43755,20140622,,950,around shrubs in moss and short grasses in protected areas around exposed ledges just below summit,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02039007.jpg,,,,,,,,,, +伏贴石杉,Huperzia appressa,王正伟,WZW08651,20151102,西藏,3780,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0106975.jpg,,,,,,,,,, +,Huperzia herteriana,王静,726013,,西藏自治区,3777,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01852661.jpg,,,,,,,,,, +锡金石杉,Huperzia herteriana,朱鑫鑫;王君;王美华;林庶;许敏;多吉;尼玛顿珠,ZXX201418,20200801,西藏,2591,水流边树上,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1508942.jpg,,,,,,,,,, +,Huperzia herteriana,杨纯瑜,3682,19810610,四川省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01455512.jpg,,,,,,,,,, +,Huperzia javanica,刘正宇,s.n.,19970300,重庆市,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234234.jpg,,,,,,,,,, +长柄石杉,Huperzia javanica,吴磊、李雄、刘昂、刘文剑,8486,20190916,湖南,1200-1350,山坡密林,直立草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSFI/CSFI069519.jpg,,,,,,,,,, +长柄石杉,Huperzia javanica,苏享修,CSH14907,20160101,福建,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0116114.jpg,,,,,,,,,, +拉觉石杉,Huperzia lajouensis,川经凉(59)字,725,19590618,四川省,2400,山坡树上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01455515.jpg,,,,,,,,,, +拉觉石杉,Huperzia lajouensis,C.W.Wang,65861,19350800,西藏自治区,3400,muddy pond,,无花无果,https://image.cvh.ac.cn/files/l/PE/00034647.jpg,,,,,,,,,, +,Huperzia lajouensis,C. W. Wang,65861,Aug-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00249915.jpg,,,,,,,,,, +,Huperzia selago,青藏队,73-1252,19730825,西藏自治区,4800,山坡流石滩,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01455549.jpg,,,,,,,,,, +小杉兰,Huperzia selago,高信芬、朱章明、赵雪利、张良,12404,20100714,西藏,4100,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0228329.jpg,,,,,,,,,, +石杉,Huperzia selago,张玉良,529,19500723,抚松县,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/00061.jpg,,,,,,,,,, +,Hydrangea dumicola,,,,,,,,,,,,,,,,,,, +黑藻,Hydrilla verticillata,王光正,1192,19530825,黑龙江省,,水甸子水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01483136.jpg,,,,,,,,,, +黑藻,Hydrilla verticillata,"陈耀东,王洪君,王新兵",12,20010603,天津市,,河湾处 水中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01595612.jpg,,,,,,,,,, +黑藻,Hydrilla verticillata,,s.n.,,台湾省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01483200.jpg,,,,,,,,,, +,Hydrocotyle salwinica,T. T. Yu,19142,1938/7/24,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00062617.jpg,,,,,,,,,, +怒江天胡荽,Hydrocotyle salwinica,贺贤育,24939,19570719,浙江省,,,草本,无花有果,https://image.cvh.ac.cn/files/l/HHBG/HZ040274.jpg,,,,,,,,,, +怒江天胡荽,Hydrocotyle salwinica,K.M.Feng,8773,19401107,云南省,,草丛中,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00723868.jpg,,,,,,,,,, +水禾,Hygroryza aristata,梁向日,61181,19310928,广东省,,路边水塘中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00537820.jpg,,,,,,,,,, +水禾,Hygroryza aristata,"丁广奇,石国良",990,1963/9/9,广东,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0425735.jpg,,,,,,,,,, +水禾,Hygroryza aristata,闫小玲、王樟华、李惠茹、严靖,RQHD01504,20141105,浙江省,10,水池,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0102961.jpg,,,,,,,,,, +,Hymenasplenium cheilosorum,"刘成, 亚吉东",18CS17782,20181201,西藏,1372,常绿阔叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1487022.jpg,,,,,,,,,, +齿果膜叶铁角蕨,Hymenasplenium cheilosorum,韦宏金,JSL7285,20191016,福建,~745,半附生;少见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431688.jpg,,,,,,,,,, +齿果膜叶铁角蕨,Hymenasplenium cheilosorum,严岳鸿、金摄郎、王莹、朱晓凤,WYD330,20140813,广东,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0084136.jpg,,,,,,,,,, +切边膜叶铁角蕨,Hymenasplenium excisum,张代贵,ly-113,20090719,湖南湘西州,,生密林下阴湿处或溪边乱石中或附生树干上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU62471.jpg,,,,,,,,,, +,Hymenasplenium excisum,张宪春 郭治友 税玉民等,8357,20170409,云南省,500~600,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02236351.jpg,,,,,,,,,, +切边膜叶铁角蕨,Hymenasplenium excisum,严岳鸿、金摄郎、王莹、朱晓凤,WYD583,20140815,广东省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0082319.jpg,,,,,,,,,, +,Hymenasplenium furfuraceum,,,,,,,,,,,,,,,,,,, +,Hymenasplenium tholiforme,,,,,,,,,,,,,,,,,,, +,Hymenophyllum badium,Mr.W.Hancock,161,18930000,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00225203.jpg,,,,,,,,,, +蕗蕨,Hymenophyllum badium,严岳鸿、金摄郎、舒江平,JSL5177,20170424,福建,524.5,林缘坡面(路边),草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0141620.jpg,,,,,,,,,, +蕗蕨,Hymenophyllum badium,鞠文彬,陈德奎,AZH00509,20151006,四川省,1753,溪边石壁,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0235256.jpg,,,,,,,,,, +,Hymenophyllum corrugatum,E. H. Wilson,5271,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00042679.jpg,,,,,,,,,, +,Hymenophyllum corrugatum,E.H.Wilson,5271,,四川省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1227909.jpg,,,,,,,,,, +皱叶蕗蕨,Hymenophyllum corrugatum,鞠文彬,张良,陈德奎,AZH01278,20160616,四川,2925,冷杉林下路边石头下,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254483.jpg,,,,,,,,,, +,Hymenophyllum denticulatum,"张寿洲,李良千等",1510,20050513,广东省,800~900,附生石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01922959.jpg,,,,,,,,,, +厚壁蕨,Hymenophyllum denticulatum,周喜乐、舒江平、肖艳,ZXL06154,20160326,海南,844,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0118767.jpg,,,,,,,,,, +,Hymenophyllum denticulatum,武素功,向建英等,WP1226,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1212057.jpg,,,,,,,,,, +毛蕗蕨,Hymenophyllum exsertum,鞠文彬,陈德奎,AZH00829,20151228,四川,1676,竹林下,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0235260.jpg,,,,,,,,,, +,Hymenophyllum exsertum,Wall,,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00042680.jpg,,,,,,,,,, +毛蕗蕨,Hymenophyllum exsertum,宋鼎;刘敏;魏定名;杨龙斌;李双斌;张桥蓉,CN180,20190219,云南,2379,附生在树干上,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1552982.jpg,,,,,,,,,, +,Hymenophyllum fumarioides,,,,,,,,,,,,,,,,,,, +,Hymenophyllum levingei,,,,,,,,,,,,,,,,,,, +线叶蕗蕨,Hymenophyllum longissimum,金摄郎、张九兵,JSL-WLSQ 485,20131109,湖南省,1077.5,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0016987.jpg,,,,,,,,,, +线叶蕗蕨,Hymenophyllum longissimum,韦宏金,JSL6989,20190408,西藏,~,附生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431233.jpg,,,,,,,,,, +线叶蕗蕨,Hymenophyllum longissimum,韦宏金,JSL6814,20190328,云南,~1665,附生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431241.jpg,,,,,,,,,, +长柄蕗蕨,Hymenophyllum polyanthos,金摄郎、张九兵,JSL-WLSQ 700,20131120,湖南省,1400.5,,,无孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0031598.jpg,,,,,,,,,, +长柄蕗蕨,Hymenophyllum polyanthos,商辉、顾钰峰,SG687,20141126,贵州省,,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0044111.jpg,,,,,,,,,, +,Hymenophyllum polyanthos,"王晖,赵存峰等",691,20130422,四川省,2175,林下石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01990388.jpg,,,,,,,,,, +宽片膜蕨,Hymenophyllum simonsianum,K.M.Feng,7943,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00225138.jpg,,,,,,,,,, +宽片膜蕨,Hymenophyllum simonsianum,张宪春,610,19930915,四川省,1300,潮湿岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01267449.jpg,,,,,,,,,, +宽片膜蕨,Hymenophyllum simonsianum,,s.n.,,云南省,2400,桔树干上附生,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01267451.jpg,,,,,,,,,, +,Hypericum maclarenii,,,,,,,,,,,,,,,,,,, +光轴肿足蕨,Hypodematium hirsutum,金摄郎,JSL4200,20160625,广西省,549,疏林下石炭岩缝中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0119701.jpg,,,,,,,,,, +光轴肿足蕨 ,Hypodematium hirsutum,D.E.Boufford et al.,35246,20060725,云南省,2000~2100,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01644119.jpg,,,,,,,,,, +光轴肿足蕨,Hypodematium hirsutum,金摄郎,JSL5442,20170802,安徽,437,民房边堆砌石墙岩缝中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0152146.jpg,,,,,,,,,, +台湾姬蕨,Hypolepis alpina,商辉、黄科瑞,SG0945,20150918,广西省,,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0096948.jpg,,,,,,,,,, +台湾姬蕨,Hypolepis alpina,罗俊杰、莫日根高娃,CFH09001298,20180505,广西,330,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0156946.jpg,,,,,,,,,, +台湾姬蕨,Hypolepis alpina,商辉,SG1752g,20170720,上海,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0142217.jpg,,,,,,,,,, +姬蕨,Hypolepis punctata,商辉、严岳鸿,SG1706,20170518,彭亨州 Pahang,1645,路边,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0140649.jpg,,,,,,,,,, +姬蕨,Hypolepis punctata,成晓,王凡红,FB-244,20130702,云南,2273,,,,https://image.cvh.ac.cn/files/l/KUN/1405780.jpg,,,,,,,,,, +姬蕨,Hypolepis punctata,绍骙2组,48,20170703,河南,,,,有孢子囊,https://image.cvh.ac.cn/files/l/HEAC/HEAC0015577.jpg,,,,,,,,,, +割鸡芒,Hypolytrum nemorum,叶国栋,1653,19800731,福建省,0~300,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0695973.jpg,,,,,,,,,, +割鸡芒,Hypolytrum nemorum,"Lau,S.Y.",20170,1932/7/7,广东; Guangdong,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00002116.jpg,,,,,,,,,, +割鸡芒,Hypolytrum nemorum,大瑶山综考队,13508,19811126,广西壮族自治区,0~460,,直立草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0695976.jpg,,,,,,,,,, +小金梅草,Hypoxis aurea,Oliwen,676,,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00544647.jpg,,,,,,,,,, +小金梅草,Hypoxis aurea,安明态,3302,20030517,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239361.jpg,,,,,,,,,, +小金梅草,Hypoxis aurea,白水江考察队,1965,20060714,甘肃省,1300,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824093.jpg,,,,,,,,,, +猬草,Hystrix duthiei,罗毅波,2486,19850629,湖南省,950,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01644754.jpg,,,,,,,,,, +猬草,Hystrix duthiei,李小杰,LiXJ447,20130628,四川,1188,山坡荒地,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1402335.jpg,,,,,,,,,, +猬草,Hystrix duthiei,郭本兆,761,19510827,陕西,,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0049075.jpg,,,,,,,,,, +大距花黍,Ichnanthus pallens,平乐县普查队,450330180807024LY,20180807,广西,483,草丛,路旁,黄棕壤,多野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00413671.jpg,,,,,,,,,, +,Ichnanthus pallens,中越考察队,609,19641219,山西省,150,山溪边草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/385422.jpg,,,,,,,,,, +,Ichnanthus pallens,林来官,7198,19870906,福建省,,林中阴湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246299.jpg,,,,,,,,,, +,Ichnanthus pallens var. major,Koji Yonekura & Keiko Yasuda,12097,20041116,,360~370,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01719163.jpg,,,,,,,,,, +大距花黍,Ichnanthus pallens var. major,兴安县普查队,450325131004009LY,20131004,广西壮族自治区,231,草丛,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0123004.jpg,,,,,,,,,, +,Ichnanthus pallens var. major,林来官,7198,19870906,福建省,,林中阴湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246299.jpg,,,,,,,,,, +双果冬青,Ilex dicarpa,"洪德元,马欣堂,王强",H12002,20120802,西藏自治区,1150,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069016.jpg,,,,,,,,,, +双果冬青,Ilex dicarpa,"刘成, 亚吉东",18CS17255,20181123,西藏,1591,次生林林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486690.jpg,,,,,,,,,, +纤枝冬青,Ilex gracilis,T.T.Yu,20137,19380906,云南省,1600,among woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050333.jpg,,,,,,,,,, +墨脱冬青,Ilex medogensis,青藏队,74-5041,19740904,西藏自治区,800,山坡 阔叶林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00033292.jpg,,,,,,,,,, +小核冬青,Ilex micropyrena,K.M.Feng,8070,19400928,云南省,1700,沟边杂林中 少见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01323825.jpg,,,,,,,,,, +小核冬青,Ilex micropyrena,中南林学院采集4队,183,19800900,湖南省,,,落叶乔木,无花有果,https://image.cvh.ac.cn/files/l/FJFC/FJFC0006889.jpg,,,,,,,,,, +,Ilex miguensis,Nong,84026,19840918,江西省,1530,沟谷林内,,无花有果,https://image.cvh.ac.cn/files/l/AU/AU044048.jpg,,,,,,,,,, +高山冬青,Ilex rockii,生态室高原组,10332,19800625,西藏自治区,3300,落叶松林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01804588.jpg,,,,,,,,,, +高山冬青,Ilex rockii,C.W.Wang,66727,19350900,云南省 ,3000,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00075913.jpg,,,,,,,,,, +高山冬青,Ilex rockii,川大生物标本室,110605,19730620,四川省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00009106.jpg,,,,,,,,,, +西藏冬青,Ilex xizangensis,青藏队,74-3852,19740731,西藏自治区,3200,山坡冷杉林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01370232.jpg,,,,,,,,,, +中缅八角,Illicium burmanicum,欧阳红才,鲁金国等,YDDXSC023,20071013,云南,2607,乔木,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230381.jpg,,,,,,,,,, +中缅八角,Illicium burmanicum,780植被组,682,19781203,云南省,2600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231175.jpg,,,,,,,,,, +中缅八角,Illicium burmanicum,,d.1,1963-11-,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0054951.jpg,,,,,,,,,, +西藏八角,Illicium griffithii,郑荣华,683,19580817,福建省,,,,,https://image.cvh.ac.cn/files/l/FJIDC/FJIDC004073.jpg,,,,,,,,,, +,Illicium griffithii,梁向日,61274,19311006,广东省,,溪边半阴处,乔木,无花有果,https://image.cvh.ac.cn/files/l/AU/038934.jpg,,,,,,,,,, +西藏八角,Illicium griffithii,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00050324.jpg,,,,,,,,,, +野八角,Illicium simonsii,赵厚涛,30227003,20030227,贵州,,路旁,乔木,无花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0002471.jpg,,,,,,,,,, +野八角,Illicium simonsii,陈彦生、吴振海、黎斌、孙建钊,2830,2005/6/20,陕西省,1180,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0497518.jpg,,,,,,,,,, +野八角,Illicium simonsii,,5882,19590824,四川,2500,阴处山坡疏林中,乔木直立,无花有果,https://image.cvh.ac.cn/files/l/SM/SM705000080.jpg,,,,,,,,,, +贡山八角,Illicium wardii,"Drs.Zsolt Debreczy,Biro,Racz et Mr.Gustavo Ramirez",43467,19950219,云南省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00102466.jpg,,,,,,,,,, +贡山八角,Illicium wardii,"程树志,李渤生",2395,19821231,西藏自治区,1300~1900,"常绿阔中林下,常见灌木",,无花无果,https://image.cvh.ac.cn/files/l/PE/00080738.jpg,,,,,,,,,, +贡山八角,Illicium wardii,和旭、白洪兵,533324180515222LY,20180515,云南,2493,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009247.jpg,,,,,,,,,, +披针叶青藤,Illigera khasiana,刘心祈,25534,19360302,海南省 ,0,林中,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0678231.jpg,,,,,,,,,, +川西凤仙花,Impatiens apsotis,D.E.Boufford et al.,41877,20090804,西藏自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925189.jpg,,,,,,,,,, +西凤仙花,Impatiens apsotis,邱炳云,771064,19770907,云南省,1800,石灰岩洞山脚下,水沟边,小灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00301527.jpg,,,,,,,,,, +,Impatiens apsotis,张挺,李爱花等,08CS847,20080922,四川,2978,河谷针阔混交林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1246677.jpg,,,,,,,,,, +白汉洛凤仙花,Impatiens bahanensis,白洪兵、李红,533324180906724LY,20180906,云南,3247,,草本,有花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009906.jpg,,,,,,,,,, +,Impatiens bahanensis,王乾,M-400,20181012,四川,2695,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0268164.jpg,,,,,,,,,, +,Impatiens bahanensis,,10043,19820907,西藏自治区,3000,山坡Picea林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00056740.jpg,,,,,,,,,, +,Impatiens barbata,张挺,蔡杰,郭永杰,刘成,张桥蓉,11CS3161,20110817,云南,2150,溪边路旁开阔地,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1303462.jpg,,,,,,,,,, +髯毛凤仙花,Impatiens barbata,吴海燕,20183203,20180425,贵州省,485,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0027973.jpg,,,,,,,,,, +鬓毛凤仙花,Impatiens barbata,四川省植被调察队,2554,19730818,四川省,3500,水沟,阴湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0480047.jpg,,,,,,,,,, +九龙凤仙花,Impatiens chiulungensis,应俊生等,4802,19601010,四川省,2700,密林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00039676.jpg,,,,,,,,,, +,Impatiens chiulungensis,王乾、顾健,HDS09713,20200914,四川,2373,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0270180.jpg,,,,,,,,,, +,Impatiens conaensis,吴征镒,陈书坤等,1062,19750719,西藏自治区,2700~2800,林缘,杂草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0427696.jpg,,,,,,,,,, +,Impatiens conaensis,,,,,,,,,,,,,,,,,,, +,Impatiens crassicaudex,王启无,67605,19350800,云南省,2800,峡谷,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0427729.jpg,,,,,,,,,, +,Impatiens crassicaudex,,22445,19380820,云南省 ,0,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0427779.jpg,,,,,,,,,, +,Impatiens crassicaudex,青藏科考队,12998,19760911,西藏自治区,3300,水沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00061404.jpg,,,,,,,,,, +耳叶凤仙花,Impatiens delavayi,林秦文,2013-169,20130601,云南省,1750~2300,峡谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02038708.jpg,,,,,,,,,, +耳叶凤仙花,Impatiens delavayi,Y. Tsiang,11924,19330400,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878331.jpg,,,,,,,,,, +耳叶凤仙花,Impatiens delavayi,王启无,66212,19350900,西藏自治区,3000,Ravine side,,有花有果,https://image.cvh.ac.cn/files/l/PE/00061674.jpg,,,,,,,,,, +束花凤仙花,Impatiens desmantha,C.M.Wang & H.M.Lin,2466,19961102,台湾省,1960,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0184198.jpg,,,,,,,,,, +束花凤仙花,Impatiens desmantha,H. T. Tsai,58269,19340827,云南省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879266.jpg,,,,,,,,,, +,Impatiens desmantha,,,,,,,,,,,,,,,,,,, +草莓凤仙花,Impatiens fragicolor,PE西藏队,PE5791,20170903,西藏自治区,3401,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02332353.jpg,,,,,,,,,, +,Impatiens fragicolor,罗建,汪书丽,LiuJQ-08XZ-086,20080724,西藏,3842,路边林缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1246751.jpg,,,,,,,,,, +草莓凤仙花,Impatiens fragicolor,陶德定,11478,19761017,四川省,1700,林内,阴湿草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0428061.jpg,,,,,,,,,, +贡山凤仙花,Impatiens gongshanensis,X.H.Jin et al.,DLJ-ET 1135,20080702,云南省,3500,apine meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879075.jpg,,,,,,,,,, +,Impatiens gongshanensis,刘成、何华杰、黄莉、杨忠兰,14CS8561,20141109,云南,1195,瀑布下湿润岩石上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321471.jpg,,,,,,,,,, +横断山凤仙花,Impatiens hengduanensis,青藏队,9448,19820822,云南省,1500,山坡 常绿阔叶林缘 岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00039537.jpg,,,,,,,,,, +,Impatiens hengduanensis,陆露,Peter W Fritsch,张永彪,张明英,陈小涛,WH-2013-035,20130912,云南,3463,灌丛、有竹林分布,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321459.jpg,,,,,,,,,, +,Impatiens infirma,"Soulié, J.A.",1233,1895-6-10,,,,,,https://image.cvh.ac.cn/files/l/P/P00780711.jpg,,,,,,,,,, +,Impatiens infirma,"金效华,王利松,刘恩德,张钢民",563,20020922,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879411.jpg,,,,,,,,,, +,Impatiens infirma,张挺,郭永杰,刘成等,10CS2234,20100804,云南,3856,"Alpine meadow and grazing pasture. Boggy area beside river with Primula, Sanguisorba, Leontopodium, Parnassia, Euphrasia, Ranunculus.",直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1246759.jpg,,,,,,,,,, +,Impatiens lingzhiensis,,,,,,,,,,,,,,,,,,, +无距凤仙花,Impatiens margaritifera,FLPH Tibet Expedition,12-1183,,西藏自治区,,山谷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02003261.jpg,,,,,,,,,, +无距凤仙花,Impatiens margaritifera,TT.Yu,22301,19380811,云南省,4000,mt.grassy slope.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00078824.jpg,,,,,,,,,, +无距凤仙花,Impatiens margaritifera,生天,1569,19570815,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0428244.jpg,,,,,,,,,, +墨脱凤仙花,Impatiens medogensis,陈伟烈,10692,19800628,西藏自治区,2200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878987.jpg,,,,,,,,,, +距凤仙花,Impatiens microcentra,X.H.Jin et al.,DLJ-ET 0433,20080627,云南省,2270,evergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879087.jpg,,,,,,,,,, +距凤仙花,Impatiens microcentra,X.H.Jin et al.,DLJ-ET 3269,20080719,西藏自治区,,conifer forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878271.jpg,,,,,,,,,, +,Impatiens microcentra,,,,,,,,,,,,,,,,,,, +木里凤仙花,Impatiens muliensis,青藏队,14557,19830908,四川省,3500~3800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00039554.jpg,,,,,,,,,, +木里凤仙,Impatiens muliensis,张挺,郭永杰,吴之坤,姜虹,李贵能,16CS12648,20160820,四川,3781,公路边山坡,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1439452.jpg,,,,,,,,,, +慕索氏凤仙花,Impatiens mussoti,Luo Yi-bo,715,20010831,四川省,3300,沟底溪旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879419.jpg,,,,,,,,,, +,Impatiens mussoti,Mussot,74,,,,,,,https://image.cvh.ac.cn/files/l/P/P00780682.jpg,,,,,,,,,, +,Impatiens nubigena,张挺,郭永杰,刘成等,10CS2192,20100803,云南,3861,"Pasture with shrubs. South facing slope 10°. Growing with Salix, Lonicera, Berberis, Trollius, Iris, Sinopodophyllum, Artemisia and Silene.",直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1246774.jpg,,,,,,,,,, +高山凤仙花,Impatiens nubigena,俞德俊,9375,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00077697.jpg,,,,,,,,,, +高山凤仙花,Impatiens nubigena,T.T.Yu,3812,19340816,四川省,2900,under woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00077686.jpg,,,,,,,,,, +,Impatiens nyimana,陈伟烈,10658,19800626,西藏自治区,2400~2800,铁杉林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878983.jpg,,,,,,,,,, +,Impatiens nyimana,张晓纬,田新民,罗建,LiuJQ-09XZ-lzt-102,20090911,西藏,2984,高原河谷,,,https://image.cvh.ac.cn/files/l/KUN/1246775.jpg,,,,,,,,,, +齿瓣凤仙花,Impatiens odontopetala,"汪劲武,施志诚",255,19770903,陕西省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00077745.jpg,,,,,,,,,, +齿瓣凤仙花,Impatiens odontopetala,吉首大学生物资源与环境科学学院,GWJ20170610_0061,20170610,湖南,402,灌丛,落叶小乔木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU31862.jpg,,,,,,,,,, +齿瓣凤仙花,Impatiens odontopetala,"李良千,王忠涛,杜玉芬,卫然",164,20110909,甘肃省,2215~2250,山坡沟边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01914106.jpg,,,,,,,,,, +小脉凤仙花,Impatiens oligoneura,D.E.Boufford et al.,27887,19970905,四川省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579629.jpg,,,,,,,,,, +小脉凤仙花,Impatiens oligoneura,吴中伦,20260,19500913,甘肃省,,山谷山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/00077736.jpg,,,,,,,,,, +盾萼凤仙花,Impatiens scutisepala,H.T.Tsai,58019,19340818,云南省 ,4000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0184562.jpg,,,,,,,,,, +盾萼凤仙花,Impatiens scutisepala,香料植物考察队,870520,19870905,云南省,0,山坡,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0428787.jpg,,,,,,,,,, +盾萼凤仙花,Impatiens scutisepala,白洪兵、李红,533324180910804LY,20180910,云南,1880,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009904.jpg,,,,,,,,,, +,Impatiens soulieana,"高信芬,彭玉兰,孙庚",3343,20020911,四川省,2650,常绿阔叶林下,水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879417.jpg,,,,,,,,,, +,Impatiens soulieana,何兴金,高云东,王志新,余岩,SCU-09-203,20090820,四川,2200,山坡湿地,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1246844.jpg,,,,,,,,,, +,Impatiens soulieana,"Soulié, J.A.",479,1893-8-10,,,,,,https://image.cvh.ac.cn/files/l/P/P00780842.jpg,,,,,,,,,, +近无距凤仙花,Impatiens subecalcarata,藏东南考察队,SET-ET 70,20090812,云南省,3575,along the alpine forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878239.jpg,,,,,,,,,, +近无距凤仙花,Impatiens subecalcarata,T.T.Yu,7631,19370807,四川省,2800,margin of woods grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00039610.jpg,,,,,,,,,, +,Impatiens subecalcarata,张挺,郭永杰,刘成等,10CS2265,20100805,四川,3780,"Rocky river gorge, slope 20°, S-facing",,有花有果,https://image.cvh.ac.cn/files/l/KUN/1246846.jpg,,,,,,,,,, +,Impatiens taronensis,Xiaohua Jin & Ting Zhang,186,20080518,云南省,1851,forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878181.jpg,,,,,,,,,, +独龙凤仙花,Impatiens taronensis,C.W.Wang,78306,19360800,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0184746.jpg,,,,,,,,,, +,Impatiens taronensis,陆露,Peter W Fritsch,张永彪,张明英,陈小涛,WH-2013-036,20130912,云南,3463,灌丛、有竹林分布,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321460.jpg,,,,,,,,,, +,Impatiens tenerrima,T. T. Yu,7543,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00244360.jpg,,,,,,,,,, +柔茎凤仙花,Impatiens tenerrima,张代贵,zdg7111,20120804,湖北省,427.26,路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU05086.jpg,,,,,,,,,, +柔茎凤仙花,Impatiens tenerrima,程堂仁、张强英、郭治友等,H-黔丹寨-Z-6549,20100813,贵州省,867,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00073339.jpg,,,,,,,,,, +膜苞凤仙花,Impatiens tenuibracteata,X.H.Jin et al.,DLJ-ET 3315,20080720,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878950.jpg,,,,,,,,,, +膜苞凤仙花,Impatiens tenuibracteata,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14411,20161113,西藏,1605,林下阴湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445513.jpg,,,,,,,,,, +,Impatiens thiochroa,北京所横断山队,3192,19810817,云南省,3770,冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00089447.jpg,,,,,,,,,, +,Impatiens thiochroa,"Handel-Mazzetti, Heinrich",7871,29-Aug-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00313665.jpg,,,,,,,,,, +微绒毛凤仙花,Impatiens tomentella,吉占和,92-113,19920408,云南省,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879125.jpg,,,,,,,,,, +微绒毛凤仙花,Impatiens tomentella,熊济华等,32344,19520904,四川省,,林下 ,,有花无果,https://image.cvh.ac.cn/files/l/PE/00061837.jpg,,,,,,,,,, +,Impatiens tomentella,,,,,,,,,,,,,,,,,,, +扭萼凤仙花,Impatiens tortisepala,于胜祥等,5045,20110807,四川省,,沿途路旁及山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878570.jpg,,,,,,,,,, +扭萼凤仙花,Impatiens tortisepala,李小杰,LiXJ764,20150917,四川,1580,路边荒地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1458294.jpg,,,,,,,,,, +念珠凤仙花,Impatiens torulosa,T.T. Yu,2446,19330807,四川省,3200,under woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879360.jpg,,,,,,,,,, +,Impatiens torulosa,"Soulié, J.A.",253,1893-8-24,,,,,,https://image.cvh.ac.cn/files/l/P/P00780749.jpg,,,,,,,,,, +东俄洛凤仙花,Impatiens toxophora,F.T.Wang,22458,19300901,四川省,2100,in thicket floor,,有花无果,https://image.cvh.ac.cn/files/l/PE/00089499.jpg,,,,,,,,,, +,Impatiens toxophora,"Soulié, J.A.",417,1893,,,,,,https://image.cvh.ac.cn/files/l/P/P00780746.jpg,,,,,,,,,, +条纹凤仙花,Impatiens vittata,覃海宁等,105,20010827,四川省,3400,山坡灌丛下湿地水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879390.jpg,,,,,,,,,, +条纹凤仙花,Impatiens vittata,高云东,邓亨宁,黎怀成,THP-KD-2234A,20170807,四川,3100,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250666.jpg,,,,,,,,,, +条纹凤仙花,Impatiens vittata,,6775,19141026,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/104168116.jpg,,,,,,,,,, +瓦氏凤仙花,Impatiens waldheimiana,刘振书,977,19340000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00089623.jpg,,,,,,,,,, +维西凤仙花,Impatiens weihsiensis,K.M.Feng,4408,19400603,云南省,2500,沟边杂木中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00089629.jpg,,,,,,,,,, +黄头凤仙花,Impatiens xanthocephala,,30669,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00089658.jpg,,,,,,,,,, +黄头凤仙花,Impatiens xanthocephala,Wang et Chang et Chen,D-0463,19840827,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0015603.jpg,,,,,,,,,, +黄头凤仙花,Impatiens xanthocephala,T.T.Yu,7694,19370813,四川省,3100,margin of woods grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00039635.jpg,,,,,,,,,, +白茅,Imperata cylindrica,S.Y.Hu & K.H.Yung,245,20000725,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855151.jpg,,,,,,,,,, +白茅,Imperata cylindrica,周鹤昌,5583,1937-09-,福建省,180M,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0114881.jpg,,,,,,,,,, +白茅,Imperata cylindrica,C.W.Wang,63103,19350500,云南省 ,2600,roadside near cultivation,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00522867.jpg,,,,,,,,,, +大白茅,Imperata cylindrica var. major,刘淼,SCSB-JSA03,20070617,湖北,35,坡地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402374.jpg,,,,,,,,,, +,Imperata cylindrica var. major,Y.Tsiang,2472,,广东省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546189.jpg,,,,,,,,,, +,Imperata cylindrica var. major,"朱,刘",580,20030522,浙江省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855391.jpg,,,,,,,,,, +高波罗花,Incarvillea altissima,K.L.Chu,7300,19400704,四川省,,on crevice of clift,,有花有果,https://image.cvh.ac.cn/files/l/PE/01154503.jpg,,,,,,,,,, +高波罗花,Incarvillea altissima,冯国楣,9183,19420829,云南省,0~3500,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0562865.jpg,,,,,,,,,, +高波罗花,Incarvillea altissima,"张永田,郞楷永",1959,19650819,西藏自治区,4500,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01884525.jpg,,,,,,,,,, +四川波罗花,Incarvillea beresowskii,青藏队补点组,750709,19750725,西藏自治区,4210,西坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01154786.jpg,,,,,,,,,, +四川波罗花,Incarvillea beresowskii,青藏队,3538,19740616,四川省,3400,岩石山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01154781.jpg,,,,,,,,,, +四川波罗花,Incarvillea beresowskii,,448,19790613,四川,3200,沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717600246.jpg,,,,,,,,,, +密生波罗花,Incarvillea compacta,,651,19640811,青海省,4400,丘陵南坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082689.jpg,,,,,,,,,, +密生波罗花,Incarvillea compacta,J.F.Rock,12476,19250600,甘肃省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01154792.jpg,,,,,,,,,, +密生波罗花,Incarvillea compacta,青藏队,3054,19810714,云南省,4600,山坡 灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01173100.jpg,,,,,,,,,, +红波罗花,Incarvillea delavayi,蓝顺彬,92,19840813,云南省,3200,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01648721.jpg,,,,,,,,,, +红波罗花,Incarvillea delavayi,T.T.Yu,6867,19370706,四川省,3600,side of mt.stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/01154878.jpg,,,,,,,,,, +红波罗花,Incarvillea delavayi,亚吉东,张桥蓉,张继,李春晓,11CS3552,20110921,云南,3010,溪谷坡地杂木林,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1385641.jpg,,,,,,,,,, +裂叶波罗花,Incarvillea dissectifoliola,赵清盛,王泽富,122377,19840608,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00268726.jpg,,,,,,,,,, +单叶波罗花,Incarvillea forrestii,"韩裕丰,邓坤枚,黄晓鹤",83-206,19830811,四川省,4050,落叶松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115753.jpg,,,,,,,,,, +单叶波罗花,Incarvillea forrestii,蔡杰,刘成,李昌洪,11CS3222,20110816,云南,3775,高山草坡,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1385748.jpg,,,,,,,,,, +单叶波罗花,Incarvillea forrestii,郭辉军,Guo 2075,19880903,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1267975.jpg,,,,,,,,,, +黄波罗花,Incarvillea lutea,苏涛,黄永江,杨青松,胡茜,ZhouZK11355,20111013,四川,3239,高山林缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1385758.jpg,,,,,,,,,, +,Incarvillea lutea,,,,,,,,,,,,,,,,,,, +黄波罗花,Incarvillea lutea,扎西次仁,ZhongY237,20080817,西藏,4461,草坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1385755.jpg,,,,,,,,,, +鸡肉参,Incarvillea mairei,"陈伟烈,陈家瑞,郭柯,闫建平",6658,19840622,四川省,3200,河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115747.jpg,,,,,,,,,, +鸡肉参,Incarvillea mairei,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0205,20080817,四川,2285,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1385759.jpg,,,,,,,,,, +鸡肉参,Incarvillea mairei,苏涛,黄永江,杨青松,王力,ZhouZK11290,20110915,西藏,3998,高山草坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1385764.jpg,,,,,,,,,, +藏波罗花,Incarvillea younghusbandii,张大才,尹五元,李双智,丁文谦,何廷顺,侯雄辉,张明启,ZhangDC-07ZX-2410,20110929,四川,4634,石砾坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1385810.jpg,,,,,,,,,, +藏波罗花,Incarvillea younghusbandii,陈世龙,高庆波,张发起,李印虎,付鹏程,邢睿,ChenSL1370,20110730,青海,4277,高寒草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1385809.jpg,,,,,,,,,, +藏波罗花,Incarvillea younghusbandii,姜恕,8886,19610504,四川省,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0210306.jpg,,,,,,,,,, +,Indigofera acutipetala,,,,,,,,,,,,,,,,,,, +,Indigofera balfouriana,,,,,,,,,,,,,,,,,,, +,Indigofera calcicola,,,,,,,,,,,,,,,,,,, +,Indigofera daochengensis,,,,,,,,,,,,,,,,,,, +,Indigofera dolichochaete,,,,,,,,,,,,,,,,,,, +,Indigofera dumetorum,,,,,,,,,,,,,,,,,,, +,Indigofera lenticellata,,,,,,,,,,,,,,,,,,, +,Indigofera muliensis,,,,,,,,,,,,,,,,,,, +,Indigofera rigioclada,,,,,,,,,,,,,,,,,,, +,Indigofera souliei,,,,,,,,,,,,,,,,,,, +,Indigofera subverticellata,,,,,,,,,,,,,,,,,,, +,Indigofera szechuensis,,,,,,,,,,,,,,,,,,, +,Indigofera wilsonii,,,,,,,,,,,,,,,,,,, +山慈菇,Iphigenia indica,,696,19790806,四川,1900,田边,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM722203225.jpg,,,,,,,,,, +山慈菇,Iphigenia indica,北京所横断山队,1903,19810723,云南省,2100,残造 常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538143.jpg,,,,,,,,,, +山慈菇,Iphigenia indica,亚吉东、刘成,15CS11189,20150920,云南,1805,山坡灌丛,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1391875.jpg,,,,,,,,,, +,Ipomoea hirtifolia,,,,,,,,,,,,,,,,,,, +,Iris barbatula,,,,,,,,,,,,,,,,,,, +西南鸢尾,Iris bulleyana,倪志诚,79255,19800515,西藏自治区,3670,林缘沼泽草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238695.jpg,,,,,,,,,, +西南鸢尾,Iris bulleyana,拉穷,西落,ZhongY482,20090605,西藏,3140,河漫滩次生林,灌木,,https://image.cvh.ac.cn/files/l/KUN/1393097.jpg,,,,,,,,,, +西南鸢尾,Iris bulleyana,谭仲明,93-13,19930710,四川省,3500,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307996.jpg,,,,,,,,,, +金脉鸢尾,Iris chrysographes,王启无,63721,19350600,云南省 ,,,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00555015.jpg,,,,,,,,,, +金脉鸢尾,Iris chrysographes,"李渤生,程树志",5577,19830719,西藏自治区,3600,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098420.jpg,,,,,,,,,, +金脉鸢尾,Iris chrysographes,北京所横断山队,2959,19810811,云南省,3600~3700,冷杉林内 亚高山草甸中建群种之一,,有花无果,https://image.cvh.ac.cn/files/l/PE/01479450.jpg,,,,,,,,,, +西藏鸢尾,Iris clarkei,郭本兆 王为义,20707,19770701,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/65445.jpg,,,,,,,,,, +西藏鸢尾,Iris clarkei,青藏队,2506,19740914,西藏自治区,3980,山坡灌丛林中湿润处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00987719.jpg,,,,,,,,,, +西藏鸢尾,Iris clarkei,李国栋,陈建国,陈林杨,彭德力,陆覃昱,SunH-07ZX-2285,20090917,云南,3129,林下路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393133.jpg,,,,,,,,,, +高原鸢尾,Iris collettii,仲轶 权旭,zy0100,20090720,云南省,3200,草坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238504.jpg,,,,,,,,,, +高原鸢尾,Iris collettii,张挺,蔡杰,刘恩德,08CS146,20080617,云南,2296,石灰岩开阔草坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393136.jpg,,,,,,,,,, +高原鸢尾,Iris collettii,袁登学,520222160517059LY,20160517,贵州省,2366.3,野生植物、中温、旱生、阳性、酸性土、草丛,多年生草本植物,有花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0045477.jpg,,,,,,,,,, +,Iris cuniculiformis,,,,,,,,,,,,,,,,,,, +尼泊尔鸢尾,Iris decora,PE西藏考察队,7150,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333123.jpg,,,,,,,,,, +尼泊尔鸢尾,Iris decora,张挺,张书东,郭永杰,13CS7575,20130525,西藏,2964,路边次生灌丛,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1393142.jpg,,,,,,,,,, +尼泊尔鸢尾,Iris decora,张挺、何德明、韦荣彪,13CS7802,20130422,云南,1920,云南松林下,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1393144.jpg,,,,,,,,,, +,Iris delavayi,,,,,,,,,,,,,,,,,,, +,Iris dolichosiphon subsp. orientalis,"Kunming, Edinburgh, Gothenburg Expedition (1993)",1191,12-Jun-93,,,,,,https://image.cvh.ac.cn/files/l/E/E00003183.jpg,,,,,,,,,, +,Iris farreri,,,,,,,,,,,,,,,,,,, +云南鸢尾,Iris forrestii,青藏队,11801,19830707,四川省,3000~3300,云南松 高山栎林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01146679.jpg,,,,,,,,,, +云南鸢尾,Iris forrestii,李正辉、艾洪莲,AHL5335,20200731,云南,2900,沟边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1554044.jpg,,,,,,,,,, +云南鸢尾,Iris forrestii,张挺,蔡杰等,SCSB-B-000499,20070918,西藏,3174,针阔混交林溪边灌草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393116.jpg,,,,,,,,,, +锐果鸢尾,Iris goniocarpa,孔航辉,罗江平,左雷,刘莹,YangQE3556,20111006,云南,4144,沟边草地,草本,,https://image.cvh.ac.cn/files/l/KUN/1393173.jpg,,,,,,,,,, +锐果鸢尾,Iris goniocarpa,张挺,李爱花等,08CS709,20080914,西藏,4221,公路边牧场,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393176.jpg,,,,,,,,,, +锐果鸢尾,Iris goniocarpa,王作宾,17051,1953/7/31,宁夏,2320,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0072220.jpg,,,,,,,,,, +蝴蝶花,Iris japonica,李小杰,LiXJ061,20100724,四川,805,路边灌丛,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1393189.jpg,,,,,,,,,, +蝴蝶花,Iris japonica,中药系14级,FJ006582,20150715,山西,,,,无花无果,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0015116.jpg,,,,,,,,,, +蝴蝶花,Iris japonica,M.Takahashi,1517,19830422,四国,300,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0360396.jpg,,,,,,,,,, +库门鸢尾,Iris kemaonensis,T.T.Yu,11354,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01012575.jpg,,,,,,,,,, +库门鸢尾,Iris kemaonensis,,533,19300721,,0~3660,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628832.jpg,,,,,,,,,, +库门鸢尾,Iris kemaonensis,西藏中草药普查队,633,19720627,西藏自治区,4300,山沟坡脉,,有花无果,https://image.cvh.ac.cn/files/l/PE/01521043.jpg,,,,,,,,,, +白花马蔺,Iris lactea,,,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238917.jpg,,,,,,,,,, +马蔺,Iris lactea,陈薇,从义艳等,SCSB-HN-0635,20061020,湖南,36,平地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393200.jpg,,,,,,,,,, +白花马蔺,Iris lactea,,s.n.,19020401,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01012159.jpg,,,,,,,,,, +黄花马蔺,Iris lactea var. chrysantha,龙芳,20181497,20180421,贵州省,393,丛林,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0028600.jpg,,,,,,,,,, +黄花马蔺,Iris lactea var. chrysantha,81级植(一),7,19820701,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/SXU/00024245.jpg,,,,,,,,,, +黄花马蔺,Iris lactea var. chrysantha,高正中,10,19590615,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/044025102.jpg,,,,,,,,,, +,Iris latistyla,,,,,,,,,,,,,,,,,,, +,Iris latistyla f. albiflora,,,,,,,,,,,,,,,,,,, +,Iris leptophylla,,,,,,,,,,,,,,,,,,, +天山鸢尾,Iris loczyi,,593,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01013025.jpg,,,,,,,,,, +天山鸢尾,Iris loczyi,余岩、付俊杰,2021250,20200718,四川,3920,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02021250.jpg,,,,,,,,,, +天山鸢尾,Iris loczyi,陈世龙,张得钧,高庆波等,ChenSL0184,20080729,青海,3570,高山灌木丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1393264.jpg,,,,,,,,,, +红花鸢尾,Iris milesii,姜恕等,8178,19600415,云南省,2300,山坡林下半阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01013029.jpg,,,,,,,,,, +红花鸢尾,Iris milesii,俞德浚,19106,19380616,云南省 ,2000,margin of thickets,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0360442.jpg,,,,,,,,,, +红花鸢尾,Iris milesii,周应再,ZhouYZ040,20160510,云南,2483,中山湿性常绿阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1457409.jpg,,,,,,,,,, +,Iris narcissiflora,,,,,,,,,,,,,,,,,,, +卷鞘鸢尾,Iris potaninii,杨金祥,1873,1963/6/14,西藏,4700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0215772.jpg,,,,,,,,,, +,Iris potaninii,伍凯,XJ048,20120604,新疆,4000,风蚀坎,干旱草地,草本,,https://image.cvh.ac.cn/files/l/BNU/0012973.jpg,,,,,,,,,, +卷鞘鸢尾,Iris potaninii,四川植物采集队,7504,19740720,四川省,3850,灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238506.jpg,,,,,,,,,, +,Iris qinghainica,,,,,,,,,,,,,,,,,,, +,Iris ramsayi,,,,,,,,,,,,,,,,,,, +紫苞鸢尾,Iris ruthenica,王战等,4021,19540526,吉林省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0629831.jpg,,,,,,,,,, +紫苞鸢尾,Iris ruthenica,张粤、苏道岩、魏志文、王艳林,XM1004,20160711,内蒙古自治区通辽市,990.3,草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0239810.jpg,,,,,,,,,, +紫苞鸢尾,Iris ruthenica,黄河队,709,1957/6/6,山西,2200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0312948.jpg,,,,,,,,,, +小花鸢尾,Iris speculatrix,"Zhu,Chen,Xu,Wang",2456,20000708,陕西省,3400,subalpine meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238576.jpg,,,,,,,,,, +小花鸢尾,Iris speculatrix,"童和平, 王玉珍",TanCM2373,20150630,江西,380,山坡竹林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1451265.jpg,,,,,,,,,, +小花鸢尾,Iris speculatrix,C.O.Levine,s.n.,19170507,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604321.jpg,,,,,,,,,, +,Iris subdichotoma,,,,,,,,,,,,,,,,,,, +鸢尾,Iris tectorum,,,,天津市,,,,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 014345.jpg,,,,,,,,,, +鸢尾,Iris tectorum,牟春燕,3,20090622,山西省,800~960,灌草丛,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00079686.jpg,,,,,,,,,, +鸢尾,Iris tectorum,"倪志诚,汪永泽,次多,次旦",444,19800705,西藏自治区,1800,常绿林林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238809.jpg,,,,,,,,,, +细叶鸢尾,Iris tenuifolia,张明理等,X001,19990515,,,沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01679966.jpg,,,,,,,,,, +细叶鸢尾,Iris tenuifolia,朱有昌,李景富,1732,19810613,黑龙江,,,,有花无果,https://image.cvh.ac.cn/files/l/HNR/HNR0000524.jpg,,,,,,,,,, +细叶鸢尾,Iris tenuifolia,马赛,21,1959/5/9,山西,,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0324388.jpg,,,,,,,,,, +单花鸢尾,Iris uniflora,S.C.Han,5,19310000,黑龙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01013796.jpg,,,,,,,,,, +单花鸢尾,Iris uniflora,"S.Kharkevich,T.Buch",893,19740525,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01679974.jpg,,,,,,,,,, +单花鸢尾,Iris uniflora,吴征镒,149,19500527,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01013811.jpg,,,,,,,,,, +扇形鸢尾,Iris wattii,刘慎谔,15771,19460407,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0629109.jpg,,,,,,,,,, +扇形鸢尾,Iris wattii,王振刚,3-1691,19780408,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI029990.jpg,,,,,,,,,, +扇形鸢尾,Iris wattii,刘国钧,50162,19850718,湖北,1740,湖内,,无花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0009393.jpg,,,,,,,,,, +,Iris zhaoana,,,,,,,,,,,,,,,,,,, +白花柳叶箬,Isachne albens,黄志,31163,1931-08-,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0115099.jpg,,,,,,,,,, +白花柳叶箬,Isachne albens,贺贤育,26765,1957-10-,浙江省,612M,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0115125.jpg,,,,,,,,,, +白花柳叶箬,Isachne albens,武夷山考察队,80-0275,1980-07-,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0115127.jpg,,,,,,,,,, +,Isachne clarkei,"Liu Yanchun,Tang Ying",402,20100915,云南省,2739,in the forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088649.jpg,,,,,,,,,, +,Isachne clarkei,陈伟烈,14246,19800812,西藏自治区,1550,沼泽边缘草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01400793.jpg,,,,,,,,,, +小柳叶箬,Isachne clarkei,唐忠炳,170824237,20170824,江西,,林下,,无花有果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0007719.jpg,,,,,,,,,, +柳叶箬,Isachne globosa,张代贵,ZZ130815306,20130815,江西吉安,,密林,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU58306.jpg,,,,,,,,,, +柳叶箬,Isachne globosa,,昌平514,19720818,北京市,,灌木林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01205652.jpg,,,,,,,,,, +柳叶箬,Isachne globosa,滇西北金沙江队,6257,19630730,云南省,2100,水稻田边沟中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546403.jpg,,,,,,,,,, +,Isachne himalaica,张经炜,958,19730804,西藏自治区,2100,河滩阶地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546409.jpg,,,,,,,,,, +江西柳叶箬,Isachne nipponensis,C.C.Courtois,6534,19121024,安徽省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00566805.jpg,,,,,,,,,, +日本柳叶箬,Isachne nipponensis,,LYP06-8239,20151006,江西萍乡,,山坡草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU68537.jpg,,,,,,,,,, +日本柳叶箬,Isachne nipponensis,庐山植物园科考队,WMB200400261,20041027,江西省,896,竹林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246525.jpg,,,,,,,,,, +,Isachne scabrosa,生态室高原组,11401,19800727,西藏自治区,1800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546442.jpg,,,,,,,,,, +糙柳叶箬,Isachne scabrosa,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201164,20200723,西藏,2382,岩坡上,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507223.jpg,,,,,,,,,, +,Isachne sikkimensis,F.Miyamoto et al.,9592050,19950719,,1960~2060,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01662467.jpg,,,,,,,,,, +,Isachne sikkimensis,青藏队补点队,751774,19750828,西藏自治区,2600,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546445.jpg,,,,,,,,,, +锡金柳叶箬,Isachne sikkimensis,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201279,20200726,西藏,2335,岩坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505555.jpg,,,,,,,,,, +刺毛柳叶箬,Isachne sylvestris,李永亮等4人,YDDXS0425,20100824,云南,1644,针阔混交林林脚河边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402366.jpg,,,,,,,,,, +刺毛柳叶箬,Isachne sylvestris,廖文波,赵万义,刘忠成,吴保欢等,LXP-13-16111,20140917,江西,395,山谷、沙土、疏林、溪边,陆生、草本、平卧,无花有果,https://image.cvh.ac.cn/files/l/SYS/SYS00198207.jpg,,,,,,,,,, +刺毛柳叶箬,Isachne sylvestris,张寿洲,陈珍传,王国栋,闫斌等人,3987,20050910,广东省,800~850,水旁,披散草本,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00040422.jpg,,,,,,,,,, +光穗鸭咀草,Ischaemum barbatum,侯学良、薛文鹏,10014,20140422,福建,,,草本,有花有果,https://image.cvh.ac.cn/files/l/AU/AU078035.jpg,,,,,,,,,, +粗毛鸭嘴草,Ischaemum barbatum,曾宪锋,ZXF39350,20180924,广东,358,山地灌丛,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0034628.jpg,,,,,,,,,, +粗毛鸭嘴草,Ischaemum barbatum,王文礼,冯欣,刘飞鹏,OuXK11158,20111004,西藏,1912,河谷,边坡,草本,,https://image.cvh.ac.cn/files/l/KUN/1402369.jpg,,,,,,,,,, +田间鸭嘴草,Ischaemum rugosum,W.T.Tsang,20886,1932-11-,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0115716.jpg,,,,,,,,,, +田间鸭嘴草,Ischaemum rugosum,邓良,2981,19561103,海南省 ,0,水旁草地平地荫处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/385796.jpg,,,,,,,,,, +田间鸭嘴草,Ischaemum rugosum,谭策铭、易桂花、程林,91237,20091025,江西省,700,山坡荒田草丛,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00057611.jpg,,,,,,,,,, +,Isodon adenolomus,,,,,,,,,,,,,,,,,,, +,Isodon albopilosus,,,,,,,,,,,,,,,,,,, +,Isodon barbeyanus,,,,,,,,,,,,,,,,,,, +,Isodon calcicolus,,,,,,,,,,,,,,,,,,, +,Isodon dawoensis,,,,,,,,,,,,,,,,,,, +,Isodon flabelliformis,,,,,,,,,,,,,,,,,,, +,Isodon flexicaulis,,,,,,,,,,,,,,,,,,, +,Isodon forrestii,,,,,,,,,,,,,,,,,,, +,Isodon gesneroides,,,,,,,,,,,,,,,,,,, +,Isodon glutinosus,,,,,,,,,,,,,,,,,,, +,Isodon grandifolius,,,,,,,,,,,,,,,,,,, +,Isodon irroratus,,,,,,,,,,,,,,,,,,, +,Isodon leucophyllus,,,,,,,,,,,,,,,,,,, +,Isodon lihsienensis,,,,,,,,,,,,,,,,,,, +,Isodon loxothyrsus,,,,,,,,,,,,,,,,,,, +,Isodon medilungensis,,,,,,,,,,,,,,,,,,, +,Isodon megathyrsus,,,,,,,,,,,,,,,,,,, +,Isodon mucronatus,,,,,,,,,,,,,,,,,,, +,Isodon muliensis,,,,,,,,,,,,,,,,,,, +,Isodon oresbius,,,,,,,,,,,,,,,,,,, +,Isodon pharicus,,,,,,,,,,,,,,,,,,, +,Isodon phyllopodus,,,,,,,,,,,,,,,,,,, +,Isodon phyllostachys,,,,,,,,,,,,,,,,,,, +,Isodon pleiophyllus,,,,,,,,,,,,,,,,,,, +,Isodon rugosiformis,,,,,,,,,,,,,,,,,,, +,Isodon scoparius,,,,,,,,,,,,,,,,,,, +,Isodon secundiflorus,,,,,,,,,,,,,,,,,,, +,Isodon silvaticus,,,,,,,,,,,,,,,,,,, +,Isodon smithianus,,,,,,,,,,,,,,,,,,, +,Isodon tenuifolius,,,,,,,,,,,,,,,,,,, +,Isodon wardii,,,,,,,,,,,,,,,,,,, +,Isodon weisiensis,,,,,,,,,,,,,,,,,,, +,Isodon wikstroemioides,,,,,,,,,,,,,,,,,,, +,Isodon yuennanensis,,,,,,,,,,,,,,,,,,, +细莞,Isolepis setacea,余奇、熊先华、李琳霖,THP-KD-3944,20170808,四川,3269~3364,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255291.jpg,,,,,,,,,, +,Isolepis setacea,T.N.Liou et P.C.Tsoong,3920,19380824,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01516571.jpg,,,,,,,,,, +,Isolepis setacea,江西调查队,1033,19540908,江西省,1800,南山坡 阳处 草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01516589.jpg,,,,,,,,,, +,Isotrema cathcartii,,,,,,,,,,,,,,,,,,, +,Isotrema griffithii,,,,,,,,,,,,,,,,,,, +,Isotrema saccatum,,,,,,,,,,,,,,,,,,, +,Isotrema wuanum,,,,,,,,,,,,,,,,,,, +,Itea kiukiangensis,,,,,,,,,,,,,,,,,,, +香面叶,Iteadaphne caudata,张挺,蔡杰,刘成,郭永杰,08CS165,20080714,云南,2053,山地苔藓常绿阔叶林林缘,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230618.jpg,,,,,,,,,, +香面叶,Iteadaphne caudata,刘恩德等,440,20031202,云南省,2500,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01957688.jpg,,,,,,,,,, +香面叶,Iteadaphne caudata,何忠云,王立东,ALSZY145,20091031,,,,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230621.jpg,,,,,,,,,, +刺株小苦荬,Ixeridium aculeolatum,王勇,522422150723045LY,20150723,贵州省,1940.9,中生、阳性、中温、野生植物、草丛,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0035009.jpg,,,,,,,,,, +,Japanobotrychum lanuginosum,,,,,,,,,,,,,,,,,,, +,Jasminum stephanense,,,,,,,,,,,,,,,,,,, +翅茎灯心草,Juncus alatus,黄志,36088,19340101,海南岛,,,,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00147307.jpg,,,,,,,,,, +,Juncus alatus,王啓無,13028,19350306,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00543584.jpg,,,,,,,,,, +翅茎灯心草,Juncus alatus,张代贵,JH103,20160408,湖南永州,304.5,荒田中,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU24187.jpg,,,,,,,,,, +,Juncus allioides,钱敏之,1063,,湖北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01027742.jpg,,,,,,,,,, +葱状灯心草,Juncus allioides,田先华,王梅荣,胡小平,TianXH709,20120801,陕西,2411,山坡路旁湿草丛中,草本,,https://image.cvh.ac.cn/files/l/KUN/1396737.jpg,,,,,,,,,, +葱状灯心草,Juncus allioides,邹方伦,ZouFL0153,20101016,贵州,950,路边荒草坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1396723.jpg,,,,,,,,,, +,Juncus alpinoarticulatus,A.Devos.-Cent.et al.,339,18680400,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01046295.jpg,,,,,,,,,, +走茎灯心草,Juncus amplifolius,J.Kirschner et al.,7,20110914,四川省,4298,Alpine stony grasslands,,有花无果,https://image.cvh.ac.cn/files/l/PE/01950116.jpg,,,,,,,,,, +走茎灯心草,Juncus amplifolius,北京植物所横断山队,1444,19810713,云南省,3300,冷杉林内 水边 湿地或群落,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486689.jpg,,,,,,,,,, +走茎灯心草,Juncus amplifolius,蔡希陶,58225,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0096647.jpg,,,,,,,,,, +小花灯心草,Juncus articulatus,普查队,29113,19590700,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236884.jpg,,,,,,,,,, +小花灯心草,Juncus articulatus,徐文斌,黄雪姣,SHI-2008049,20080727,新疆,1057,河漫滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1396766.jpg,,,,,,,,,, +小花灯心草,Juncus articulatus,B.Barhtolomew et al.,1351,19860921,贵州省,1300~850,growing in wet muddy area at edge of irrigation ditch between rice fields,,有花无果,https://image.cvh.ac.cn/files/l/PE/01593335.jpg,,,,,,,,,, +孟加拉国灯心草,Juncus benghalensis,H.T.Tsai,58209,19340827,云南省 ,0~4000,,Herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0640260.jpg,,,,,,,,,, +孟加拉灯心草,Juncus benghalensis,青藏队植被组,5305,19750714,西藏自治区,3150,瀑布边悬崖上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790509.jpg,,,,,,,,,, +孟加拉灯心草,Juncus benghalensis,黄仁煌,196,19580923,湖北省,2360,荒地,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0097604.jpg,,,,,,,,,, +短柱灯心草,Juncus brachystigma,尹志坚,王泽欢,陈丽等,H-滇大理-Z 2948,20100620,云南,3200,草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512262.jpg,,,,,,,,,, +,Juncus brachystigma,"Forrest, George",6298,10-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00745698.jpg,,,,,,,,,, +短柱灯心草,Juncus brachystigma,T.T.Yu,8943,19370712,云南省,4000,mt stream side,,有花有果,https://image.cvh.ac.cn/files/l/PE/01046164.jpg,,,,,,,,,, +显苞灯心草,Juncus bracteatus,,样75,19810809,云南省,,湖泊盆地草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01593314.jpg,,,,,,,,,, +显苞灯心草,Juncus bracteatus,王辰,LZ062,20120712,西藏,3800,,,,https://image.cvh.ac.cn/files/l/BNU/0014148.jpg,,,,,,,,,, +显苞灯心草,Juncus bracteatus,C.W.Wang,65372,1935/08/,云南,2800,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0039257.jpg,,,,,,,,,, +小灯心草,Juncus bufonius,,1401,,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236791.jpg,,,,,,,,,, +小灯心草,Juncus bufonius,侯学良、张若鹏,91664,20180324,福建省三明市,331,林缘,草本,无花有果,https://image.cvh.ac.cn/files/l/AU/AU062520.jpg,,,,,,,,,, +小灯心草,Juncus bufonius,石国良,13295,19780322,广东省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0641055.jpg,,,,,,,,,, +栗花灯心草,Juncus castaneus,Allan Uggla,s.n.,18950000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01046714.jpg,,,,,,,,,, +栗花灯心草,Juncus castaneus,生态室高原组,14915,19800906,西藏自治区,3800,高山灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191749.jpg,,,,,,,,,, +栗花灯心草,Juncus castaneus,Leena Hamet-Ahti,1524,19670808,威斯康星州,3500,near the road,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0096843.jpg,,,,,,,,,, +头柱灯心草,Juncus cephalostigma,,s.n.,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01593311.jpg,,,,,,,,,, +定结灯芯草,Juncus cephalostigma,青藏队,5484,19750604,西藏,3650,山坡陡壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1218095.jpg,,,,,,,,,, +头柱灯心草,Juncus cephalostigma,"李渤生,李辉,多吉次旦",13065,19900815,西藏自治区,4600~4800,沼泽优势种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506886.jpg,,,,,,,,,, +定结灯芯草,Juncus cephalostigma var. dingjieensis,青藏队,5484,19750604,西藏,3650,山坡陡壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1218095.jpg,,,,,,,,,, +丝节灯心草,Juncus chrysocarpus,青藏队横断山队,3786,19810805,四川省,4200,河滩 草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191762.jpg,,,,,,,,,, +丝节灯心草,Juncus chrysocarpus,青藏队,1030,19740914,西藏自治区,3900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01046725.jpg,,,,,,,,,, +丝节灯心草,Juncus chrysocarpus,张林、李星月、张晓严,2-271b,20180616,西藏,3013,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023556.jpg,,,,,,,,,, +印度灯心草,Juncus clarkei,青藏队,12755,19830809,四川省,3800,山坡 冷杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01191773.jpg,,,,,,,,,, +印度灯心草,Juncus clarkei,S.Noshiro et al.,9810128,19980822,,3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01950142.jpg,,,,,,,,,, +印度灯心草,Juncus clarkei,,6380,19100800,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0640488.jpg,,,,,,,,,, +雅灯心草,Juncus concinnus,张永洪,王晓雄,周卓,岳亮亮等,SunH-07ZX-1653,20080730,西藏,3935,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1396812.jpg,,,,,,,,,, +葱状灯心草,Juncus concinnus,,289,19640709,青海省,4300,水沟旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01046905.jpg,,,,,,,,,, +雅灯心草,Juncus concinnus,廉永善,790330,19740908,甘肃,3300,水池,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0094049.jpg,,,,,,,,,, +灯心草,Juncus effusus,"James D.Ray,Jr.",6235,19550620,,,near rich deciduous woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/02236555.jpg,,,,,,,,,, +灯心草,Juncus effusus,刘昉勋,690,19500606,上海市,,bank of sond,,有花有果,https://image.cvh.ac.cn/files/l/PE/01047137.jpg,,,,,,,,,, +灯心草,Juncus effusus,李宏庆,田怀珍,葛斌杰,刘国丽,LiHQ0203,20090616,浙江,89,小河边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1396868.jpg,,,,,,,,,, +,Juncus giganteus,,,,,,,,,,,,,,,,,,, +细茎灯芯草,Juncus gracilicaulis,,842,19550526,北京市,,河边,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00544377.jpg,,,,,,,,,, +细茎灯心草,Juncus gracilicaulis,黄汉东,鲍大川,736,20150625,湖北,1350,山林草丛,草木,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0140560.jpg,,,,,,,,,, +,Juncus gracilicaulis,,11268,19380824,湖南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0042992.jpg,,,,,,,,,, +节叶灯心草,Juncus grisebachii,彭玉兰,涂卫国,GaoXF-0861,20080826,四川,3218,亚高山灌木丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1396929.jpg,,,,,,,,,, +节叶灯心草,Juncus grisebachii,"李渤生,程树志",1219,19821011,西藏自治区,3400,冷杉林缘 湿地常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109461.jpg,,,,,,,,,, +节叶灯心草,Juncus grisebachii,孙航,李新辉,陈林杨等,SunH-07ZX-3139,20101004,云南,2238,山谷中河边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1396933.jpg,,,,,,,,,, +喜马灯心草,Juncus himalensis,PE西藏队,PE5810,20170903,西藏自治区,3401,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01891613.jpg,,,,,,,,,, +喜马灯心草,Juncus himalensis,T.P.Wang,5590,1936/8/6,甘肃,3200,,grass,无花无果,https://image.cvh.ac.cn/files/l/WUK/0025840.jpg,,,,,,,,,, +喜马灯心草,Juncus himalensis,黄河调查队,2842,1955/8/17,山西,2690,,草本直立,无花无果,https://image.cvh.ac.cn/files/l/WUK/0078998.jpg,,,,,,,,,, +片髓灯心草,Juncus inflexus,"倪志诚,汪永泽,次多,次旦",183,19800625,西藏自治区,2400,山坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01047479.jpg,,,,,,,,,, +片髓灯心草,Juncus inflexus,冯肇南,426,19530819,新疆维吾尔自治区,1180,水沟旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01527710.jpg,,,,,,,,,, +片髓灯心草,Juncus inflexus,刘正宇,962479,19960616,重庆市,870,山地水湿地中,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0018916.jpg,,,,,,,,,, +,Juncus kangpuensis,,,,,,,,,,,,,,,,,,, +,Juncus khasiensis,"李渤生,李辉,阳艺",13559,19900907,西藏自治区,2800,岩石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506880.jpg,,,,,,,,,, +,Juncus khasiensis,青藏队区系组,14004,19830913,四川省,3200,高山松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01191821.jpg,,,,,,,,,, +,Juncus khasiensis,青藏队,8445,19820722,云南省,2800,Tsuga林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01191816.jpg,,,,,,,,,, +金灯心草,Juncus kingii,H.B.G.,297A,19930723,青海省,3650,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/171570.jpg,,,,,,,,,, +金灯心草,Juncus kingii,秦仁昌,24131,19270829,云南省,3800,阳坡 草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527737.jpg,,,,,,,,,, +金灯心草,Juncus kingii,张树仁等,2192,20140621,四川省,1901~2400,路边 林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01919043.jpg,,,,,,,,,, +细子灯心草,Juncus leptospermus,张永田,郎楷永,3347,19660512,西藏自治区,2300,山坡水沟边草,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0097453.jpg,,,,,,,,,, +细子灯心草,Juncus leptospermus,王作宾,18256,1957/8/18,陕西,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0088569.jpg,,,,,,,,,, +细子灯心草,Juncus leptospermus,R.C.Ching,8507,19250630,安徽省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/036021032_1.jpg,,,,,,,,,, +甘川灯心草,Juncus leucanthus,蔡杰,张挺,刘成等,10CS2548,20100923,四川,3886,鲜卑花灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1396958.jpg,,,,,,,,,, +甘川灯心草,Juncus leucanthus,高生所藏药队,1114,19720728,青海省,4400~4700,高山带,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527770.jpg,,,,,,,,,, +甘川灯心草,Juncus leucanthus,J.Kirschner et al.,22,20110919,四川省,4040,Springs among scrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237007.jpg,,,,,,,,,, +长苞灯心草,Juncus leucomelas,H.T.Tsai,53986,19330731,云南省 ,0~4000,,Grass,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0640970.jpg,,,,,,,,,, +长苞灯心草,Juncus leucomelas,王启无,70951,19350700,云南省,2300,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527837.jpg,,,,,,,,,, +长苞灯心草,Juncus leucomelas,,B 0266,19570623,甘肃省,0~2620,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0640992.jpg,,,,,,,,,, +,Juncus longistamineus,,,,,,,,,,,,,,,,,,, +膜耳灯心草,Juncus membranaceus,王作宾,14440,19510719,甘肃省,3100,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01527944.jpg,,,,,,,,,, +膜耳灯心草,Juncus membranaceus,伍凯、郝加琛,YN335,20130808,云南省,3600,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0038636.jpg,,,,,,,,,, +膜耳灯芯草,Juncus membranaceus,,1066,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00544416.jpg,,,,,,,,,, +,Juncus milashanensis,,,,,,,,,,,,,,,,,,, +矮灯心草,Juncus minimus,北京所横断山队,3657,19810824,云南省,4150~4400,高大 巨大冰碛砾石常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486728.jpg,,,,,,,,,, +矮灯心草,Juncus minimus,秦仁昌,2937,19561011,新疆维吾尔自治区,540,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236893.jpg,,,,,,,,,, +矮灯心草,Juncus minimus,张挺,郭永杰,刘成等,10CS2207,20100803,云南,4521,"Alpine scree. NW-facing slope 45° with Rhododendron, Primula, Cassiope.",,,https://image.cvh.ac.cn/files/l/KUN/1396970.jpg,,,,,,,,,, +,Juncus nigroviolaceus,,,,,,,,,,,,,,,,,,, +羽序灯心草,Juncus ochraceus,谢登峰、张相宜,2030521,20190925,四川,3573,草地,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02030521.jpg,,,,,,,,,, +,Juncus ochraceus,,11707,19380901,湖南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0043098.jpg,,,,,,,,,, +羽序灯心草,Juncus ochraceus,K.M.Feng,17534,19400906,云南省,2200~2300,沟边杂林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01550464.jpg,,,,,,,,,, +短茎灯心草,Juncus perpusillus,T.T.Yu,7771,19370817,四川省,3600,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01550509.jpg,,,,,,,,,, +短茎灯心草,Juncus perpusillus,王辰,LZ036,20120709,西藏,4300,,,,https://image.cvh.ac.cn/files/l/BNU/0014166.jpg,,,,,,,,,, +单枝灯心草,Juncus potaninii,冯正波等,20070442,20070517,四川省,1800,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01939564.jpg,,,,,,,,,, +单枝灯心草,Juncus potaninii,汪前生,2051,19850627,湖南省,1590,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0157378.jpg,,,,,,,,,, +单枝灯心草,Juncus potaninii,刘尚武,3078,19870720,青海省,2800,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01550539.jpg,,,,,,,,,, +,Juncus prismatocarpus,朱和卿,882,1956/10/22,浙江,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0168895.jpg,,,,,,,,,, +,Juncus prismatocarpus,张淑贤,292,19560600,陕西省,,山野自生,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237064.jpg,,,,,,,,,, +笄石菖,Juncus prismatocarpus,叶德闲、张铭哲及学生,380,19550600,河南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/036021049.jpg,,,,,,,,,, +圆柱叶灯心草,Juncus prismatocarpus subsp. teretifolius,孙必兴,220,19730512,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0641087.jpg,,,,,,,,,, +圆柱叶灯心草,Juncus prismatocarpus subsp. teretifolius,T.N.Liou et al.,1147,19330819,山东省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01551000.jpg,,,,,,,,,, +圆柱叶灯心草,Juncus prismatocarpus subsp. teretifolius,"Tsang,W.T.",20636,19320531,广东省,,sandy soil swamp,herb,无花有果,https://image.cvh.ac.cn/files/l/PE/01550706.jpg,,,,,,,,,, +长柱灯心草,Juncus przewalskii,C.W.Wang,68994,1935/08/,云南,3600,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0045283.jpg,,,,,,,,,, +长柱灯心草,Juncus przewalskii,C.W.Wang,68742,19350800,云南省 ,0~3700,,Herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0641254.jpg,,,,,,,,,, +长柱灯心草,Juncus przewalskii,吴玉虎等,7026,19900818,青海省,3160,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0216921.jpg,,,,,,,,,, +野灯心草,Juncus setchuensis,"马欣堂,杜玉芬",65,19910529,北京市,,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236616.jpg,,,,,,,,,, +野灯心草,Juncus setchuensis,刘淼,SCSB-JSA15,20070617,湖北,210,河谷,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1396995.jpg,,,,,,,,,, +野灯心草,Juncus setchuensis,孙,100,19830614,山西省,340,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804108.jpg,,,,,,,,,, +锡金灯心草,Juncus sikkimensis,,642,19750713,,3650,杜鹃林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236968.jpg,,,,,,,,,, +锡金灯心草,Juncus sikkimensis,"陈伟烈,陈家瑞,郭柯,闰建平",5841,19840602,四川省,3920,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02236986.jpg,,,,,,,,,, +,Juncus sikkimensis,胡君、王东超、李丽、唐露,SC-a-067-B41,20180805,云南,,高山栎群落中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00608955.jpg,,,,,,,,,, +枯灯心草,Juncus sphacelatus,植被地理组,489,19840719,青海省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/103615.jpg,,,,,,,,,, +枯灯心草,Juncus sphacelatus,孙航,张建文,董金龙,李国栋,周卓,徐波,陈林杨,彭德力,邓涛,陈光富,欧阳铖人,SunH-07ZX-3686,20110924,四川,4367,河边灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397035.jpg,,,,,,,,,, +枯灯心草,Juncus sphacelatus,甘青队,钟补求,8593,1958/7/29,青海,3300,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0101062.jpg,,,,,,,,,, +展苞灯心草,Juncus thomsonii,尹鑫,吴航,葛文静,LiuJQ-GN-2011-171,20111004,甘肃,3738,高寒草甸,沼泽化草甸滩地,多年生直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397047.jpg,,,,,,,,,, +展苞灯心草,Juncus thomsonii,鄂植考队,24917,19770818,湖北省,2850,山脊草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237033.jpg,,,,,,,,,, +展苞灯心草,Juncus thomsonii,PE西藏考察队,7117,20180610,西藏自治区,4281,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332513.jpg,,,,,,,,,, +,Juncus tibeticus,,,,,,,,,,,,,,,,,,, +贴苞灯心草,Juncus triglumis,张林、李星月、张晓严,2月2日,20180608,西藏,4236,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023839.jpg,,,,,,,,,, +贴苞灯心草,Juncus triglumis,郭永杰,黄文娟,段黄金,梁武军,周伟,08CS250,20080728,新疆,3690,河漫滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397070.jpg,,,,,,,,,, +贴苞灯心草,Juncus triglumis,"王文中,田景全,秦绍英",14(89),19560805,甘肃,2935,山谷 阴坡 西北,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827796.jpg,,,,,,,,,, +,Juncus triglumis subsp. albescens,,,,,,,,,,,,,,,,,,, +,Juncus unifolius,,,,,,,,,,,,,,,,,,, +,Juniperus communis var. saxatilis,泛喜马拉雅植物志巴基斯坦采集队,FPH-0771,20120624,,3800~4010,"Forest(Picea,Abies,Pinus),Alpine meadow lake",,无花有果,https://image.cvh.ac.cn/files/l/PE/02005025.jpg,,,,,,,,,, +,Juniperus convallium,,,,,,,,,,,,,,,,,,, +,Juniperus coxii,,,,,,,,,,,,,,,,,,, +刺柏,Juniperus formosana,湘西考察队,351,19840907,湖南省,625,潮湿阴沟,,无花无果,https://image.cvh.ac.cn/files/l/PE/00063436.jpg,,,,,,,,,, +刺柏,Juniperus formosana,覃海宁等,18002,20041024,,40,山坡灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01523206.jpg,,,,,,,,,, +刺柏,Juniperus formosana,"傅立国,张荣厚",12,19720914,江苏省,,栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/00020567.jpg,,,,,,,,,, +,Juniperus indica,F.Miyamoto et al.,96228,19950806,,4030~4365,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898408.jpg,,,,,,,,,, +,Juniperus indica var. caespitosa,S.Miehe,99-162-01,19990825,西藏自治区,3900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00057617.jpg,,,,,,,,,, +,Juniperus jarkendensis,"王富保,郭柯",12812,19900901,新疆维吾尔自治区,3200,冰川侧碛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044018.jpg,,,,,,,,,, +昆仑圆柏,Juniperus jarkendensis,刘国钧,冷巧珍,腾锦华,522,19800808,新疆维吾尔自治区 ,1200,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00000495.jpg,,,,,,,,,, +昆仑圆柏,Juniperus jarkendensis,刘国钧,冷巧珍,腾锦华,522,19800808,,1200,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20000002.jpg,,,,,,,,,, +,Juniperus komarovii,,,,,,,,,,,,,,,,,,, +,Juniperus microsperma,,,,,,,,,,,,,,,,,,, +,Juniperus pingii,,212,,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00020265.jpg,,,,,,,,,, +,Juniperus pingii,K.T.Fu,1548,19370823,甘肃省,4000,山坡 ,,无花有果,https://image.cvh.ac.cn/files/l/PE/00018448.jpg,,,,,,,,,, +,Juniperus pingii,"张秀实,任有铣",5487,19580618,四川省,3400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00104569.jpg,,,,,,,,,, +,Juniperus pingii var. miehei,,,,,,,,,,,,,,,,,,, +,Juniperus pingii var. wilsonii,"Wilson, Ernest Henry",985,,,,,,,https://image.cvh.ac.cn/files/l/E/E00234708.jpg,,,,,,,,,, +,Juniperus pingii var. wilsonii,PE西藏队,PE6123,20170907,西藏自治区,4474,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293994.jpg,,,,,,,,,, +,Juniperus pingii var. wilsonii,王文广等,2337,20140716,四川省,2540~3200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918911.jpg,,,,,,,,,, +,Juniperus przewalskii,,,,,,,,,,,,,,,,,,, +,Juniperus recurva,PE西藏队,PE5203,20170826,西藏自治区,4270,林下灌层,,无花有果,https://image.cvh.ac.cn/files/l/PE/02294000.jpg,,,,,,,,,, +,Juniperus recurva,C.S.Chang et al.,20540,20021016,,3400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01523145.jpg,,,,,,,,,, +,Juniperus recurva,冯国楣,21054,19551014,云南省,3800,灌木丛中,斜坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00063375.jpg,,,,,,,,,, +,Juniperus sabina,,1374,19580905,青海省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00042974.jpg,,,,,,,,,, +叉子圆柏,Juniperus sabina,谭敦炎,吉乃提等,TanDY0641,20090905,新疆,1438,山地草甸,灌木,,https://image.cvh.ac.cn/files/l/KUN/1405256.jpg,,,,,,,,,, +叉子圆柏,Juniperus sabina,C.Y.Chiao,2579,1930.VI.18.,山东,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0016375.jpg,,,,,,,,,, +,Juniperus saltuaria,,,,,,,,,,,,,,,,,,, +,Juniperus semiglobosa,"郭柯,郑度",p-89,19891015,,2700,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00063037.jpg,,,,,,,,,, +昆仑多子柏,Juniperus semiglobosa,刘恩德,徐洲锋,9181,20190819,新疆,1565,路边山坡,灌木,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1512486.jpg,,,,,,,,,, +,Juniperus semiglobosa,"刘媖心,杨喜林",487,19730810,新疆维吾尔自治区,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00063455.jpg,,,,,,,,,, +,Juniperus squamata,PE西藏队,PE6653,20170914,西藏自治区,3934,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293999.jpg,,,,,,,,,, +高山柏,Juniperus squamata,李宏庆等,SDP10783,20110409,上海市,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0066350.jpg,,,,,,,,,, +,Juniperus squamata,S.S.Chui,4202,,宜昌,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0000639.jpg,,,,,,,,,, +,Juniperus tibetica,,,,,,,,,,,,,,,,,,, +南疆苓菊,Jurinea kaschgarica,,22329,19550600,新疆维吾尔自治区,,干旱,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836578.jpg,,,,,,,,,, +南疆苓菊,Jurinea kaschgarica,,9766,1959.6.2,新疆维吾尔自治区 ,2300,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042465.jpg,,,,,,,,,, +南疆苓菊,Jurinea kaschgarica,,9766,1959621,,2300,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022899.jpg,,,,,,,,,, +帕米尔苓菊,Jurinea pamirica,中国科学院新疆分院,1049,19610731,新疆维吾尔自治区,2850,山坡碎砾石戈,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030046.jpg,,,,,,,,,, +帕米尔苓菊,Jurinea pamirica,,1049,19610731,,2850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030045.jpg,,,,,,,,,, +,Justicia siccanea,"Forrest, George",13118,14-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00047305.jpg,,,,,,,,,, +,Justicia xylopoda,G.Forrest,27903,19290800,云南省,2333,Undershrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/01558038.jpg,,,,,,,,,, +木柄杜根藤,Justicia xylopoda,亚吉东、刘成,15CS11211,20150922,云南,1619,金沙河干热河谷,多年生 草本,,https://image.cvh.ac.cn/files/l/KUN/1396224.jpg,,,,,,,,,, +,Justicia xylopoda,"Forrest, George",11004,13-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00265763.jpg,,,,,,,,,, +异形南五味子,Kadsura heteroclita,何业祺,1418,1958/10/20,甘肃,1000,,藤本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0160596.jpg,,,,,,,,,, +异形南五味子,Kadsura heteroclita,C. Wang,3200,1929/8/8,香港; HONG KONG,,,藤本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00050150.jpg,,,,,,,,,, +异形南五味子,Kadsura heteroclita,,382,19741000,福建省,900,杂木林边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00080998.jpg,,,,,,,,,, +糙毛仲彬草,Kengyilia hirsuta,J.L.Yang et,无编号,20090918,新疆,,,多年生,丛生,无花有果,https://image.cvh.ac.cn/files/l/SAUT/201402232.jpg,,,,,,,,,, +,Kengyilia hirsuta,王?,34,19560718,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546539.jpg,,,,,,,,,, +,Kengyilia hirsuta,西藏中草药普查队,765,19720708,西藏自治区,4200,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546561.jpg,,,,,,,,,, +,Knema lenta,,,,,,,,,,,,,,,,,,, +大叶红光树,Knema linifolia,PT-ET(Putao Expedition Team): Xiaohua JIN et al.,PT-ET1224,20141023,,1400~600,under evergreen forest,,无花无果,https://image.cvh.ac.cn/files/l/PE/02030167.jpg,,,,,,,,,, +大叶红光树,Knema linifolia,冯国楣,20271,19550413,云南省,630,密林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0678514.jpg,,,,,,,,,, +大叶红光树,Knema linifolia,任宪威,64151,19640125,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00059483.jpg,,,,,,,,,, +,Kobresia burangensis,,,,,,,,,,,,,,,,,,, +,Kobresia cercostachya,,,,,,,,,,,,,,,,,,, +,Kobresia cuneata,,,,,,,,,,,,,,,,,,, +,Kobresia falcata,,,,,,,,,,,,,,,,,,, +,Kobresia littledalei,,,,,,,,,,,,,,,,,,, +,Kobresia loliacea,,,,,,,,,,,,,,,,,,, +,Kobresia robusta,,,,,,,,,,,,,,,,,,, +,Kobresia setchwanensis,,,,,,,,,,,,,,,,,,, +,Kobresia tunicata,,,,,,,,,,,,,,,,,,, +,Kobresia yadongensis,,,,,,,,,,,,,,,,,,, +,Kobresia yangii,,,,,,,,,,,,,,,,,,, +旗唇兰,Kuhlhasseltia yakushimensis,刘昂、丁聪、龚佑科,LK1085,20200801,湖南,1720,沟谷溪边阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI075729.jpg,,,,,,,,,, +,Kungia aliciae,,,,,,,,,,,,,,,,,,, +短叶水蜈蚣,Kyllinga brevifolia,孙林,ZZ150531540,20150531,江西吉安,,草地,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU58540.jpg,,,,,,,,,, +短叶水蜈蚣,Kyllinga brevifolia,Tang Siu Ging,15199,1927/6/6,福建; FUKIEN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00017234.jpg,,,,,,,,,, +短叶水蜈蚣,Kyllinga brevifolia,沈隽; T.Shen,532,1935/9/9,江苏; KIANGSU,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00017271.jpg,,,,,,,,,, +单穗水蜈蚣,Kyllinga nemoralis,傅坤俊,4941,19520712,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00149801.jpg,,,,,,,,,, +单穗水蜈蚣,Kyllinga nemoralis,平乐县普查队,450330180517059LY,20180517,广西,471,针阔混交林,路旁,黄棕壤,多野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00413632.jpg,,,,,,,,,, +单穗水蜈蚣,Kyllinga nemoralis,"刘恩德,方伟,徐洲锋,上官法智,常学科,席辉辉,李云,廖鸿艳,李成清",4261,20150702,云南省,2057,in swamp,,,https://image.cvh.ac.cn/files/l/KUN/1268870.jpg,,,,,,,,,, +水蜈蚣,Kyllinga polyphylla,张代贵,xm120,20120627,湖南,743,田边,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU52846.jpg,,,,,,,,,, +水蜈蚣,Kyllinga polyphylla,施鸿宇,93,20210710,福建,250,丛林道旁,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU091482.jpg,,,,,,,,,, +水蜈蚣,Kyllinga polyphylla,李家湘,冯贵祥,16062109,20160621,湖北省,33,江边消落带,,有花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI056181.jpg,,,,,,,,,, +,Lagenandra undulata,,,,,,,,,,,,,,,,,,, +革叶兔耳草,Lagotis alutacea,王启无,69707,19350900,云南省,3300,Water,,有花有果,https://image.cvh.ac.cn/files/l/PE/01475460.jpg,,,,,,,,,, +革叶兔耳草,Lagotis alutacea,杨永昌,202,19640701,青海省,4850,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/139160.jpg,,,,,,,,,, +革叶兔耳草,Lagotis alutacea,青藏队,3862,19810806,四川省,4600~4700,多石山草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01492009.jpg,,,,,,,,,, +,Lagotis angustibracteata,,,,,,,,,,,,,,,,,,, +短穗兔耳草,Lagotis brachystachya,,1263,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01382993.jpg,,,,,,,,,, +短穗兔耳草,Lagotis brachystachya,Pl.a N.M.Przewalski,58,18800000,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01382995.jpg,,,,,,,,,, +短穗兔耳草,Lagotis brachystachya,青藏队,5,19730530,四川省,3400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01382981.jpg,,,,,,,,,, +短筒兔耳草,Lagotis brevituba,四川植物标本,德7283,19740704,四川省,4580,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475535.jpg,,,,,,,,,, +短筒兔耳草,Lagotis brevituba,,天033,19630800,,3700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01475540.jpg,,,,,,,,,, +短筒兔耳草,Lagotis brevituba,青藏队植被组,9345,19760731,西藏自治区,5044,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475539.jpg,,,,,,,,,, +矮兔耳草,Lagotis humilis,青藏队植被组,3932,19750612,西藏自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475463.jpg,,,,,,,,,, +全缘兔耳草,Lagotis integra,D.E.Boufford et al.,32283,20040813,西藏自治区,4440~4665,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052729.jpg,,,,,,,,,, +全缘兔耳草,Lagotis integra,余岩、陈俊佩,2022777,20200718,四川,4497,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02022777.jpg,,,,,,,,,, +全缘兔耳草,Lagotis integra,梅丽娟、苑祥,309,20140825,青海,3958,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019587.jpg,,,,,,,,,, +,Lagotis kongboensis,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-1020,20080723,西藏自治区,5307,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1382842.jpg,,,,,,,,,, +大筒兔耳草,Lagotis macrosiphon,PE西藏队,PE5954,20170905,西藏自治区,4780,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330881.jpg,,,,,,,,,, +大筒兔耳草,Lagotis macrosiphon,,s.n.,,甘肃省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0556181.jpg,,,,,,,,,, +,Lagotis praecox,方震东,393,20030630,云南,3400,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008610.jpg,,,,,,,,,, +紫叶兔耳草,Lagotis praecox,傅国勋,230,19600611,西藏自治区,4200,阳山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01383104.jpg,,,,,,,,,, +紫叶兔耳草,Lagotis praecox,"D.E.Boufford,B.Bartholomew,S.L.Kelley etc.",36154,20060809,四川省,4200~4500,S-facing mountainside heavily grazed at lower elevations with scattered shrubs and sandy-gravelly slopes and scree slope scree slope and sandy-gravelly slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079555.jpg,,,,,,,,,, +箭药兔耳草,Lagotis wardii,刘尚武,1210,19650719,青海省,4600,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475484.jpg,,,,,,,,,, +箭药兔耳草,Lagotis wardii,K.M.Feng,6094,19400801,云南省,3700~4000,草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01383117.jpg,,,,,,,,,, +,Lagotis wardii,Kingdon-Ward Frank,1043,13-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00327134.jpg,,,,,,,,,, +云南兔儿风,Lagotis yunnanensis,王明川,GYZ1506230911,20150623,贵州,,疏林中(下),草本,无花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0003727.jpg,,,,,,,,,, +云南兔耳草,Lagotis yunnanensis,冕宁县队,326,19780630,四川,4200,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717500340.jpg,,,,,,,,,, +云南兔耳草,Lagotis yunnanensis,D.E.Boufford et al.,29432,20000714,西藏自治区,4400~4500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02052731.jpg,,,,,,,,,, +粗毛肉果草,Lancea hirsuta,夏至,X2-2007-0524,20070911,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919967.jpg,,,,,,,,,, +,Lancea hirsuta,"张挺,蔡杰,刘恩德,陈家辉",SCSB-B-000482,20070916,西藏自治区,3914,湖边灌丛下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1382845.jpg,,,,,,,,,, +粗毛肉果草,Lancea hirsuta,周兴民,?,199807?,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/182915.jpg,,,,,,,,,, +蓝氏萍,Landoltia punctata,鞠文彬,邓亨宁 ,HGX13793,20130919,四川省,,水田,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0226968.jpg,,,,,,,,,, +墨脱艾麻,Laportea medogensis,倪志诚等,1981,19810905,西藏自治区,2200,山坡林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846727.jpg,,,,,,,,,, +密丛鹤虱,Lappula caespitosa,青藏队植被组,12767,19760705,西藏自治区,4200,干沟内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519083.jpg,,,,,,,,,, +密丛鹤虱,Lappula caespitosa,青藏队,76-7922,19760705,西藏,4200,山坡冲沟砂砾地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1218681.jpg,,,,,,,,,, +费尔干鹤虱,Lappula ferganensis,郝加琛、周瑜,16825,20160719,新疆维吾尔自治区,,砾石山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0042995.jpg,,,,,,,,,, +喜马拉雅鹤虱,Lappula himalayensis,PE西藏考察队,7739,20180624,西藏自治区,3902,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332023.jpg,,,,,,,,,, +喜马拉雅鹤虱,Lappula himalayensis,S.Noshiro etc.,20104201,20010816,,3710,stony barren place,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261051.jpg,,,,,,,,,, +,Larix griffithii,,669,19630000,吉林省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00206899.jpg,,,,,,,,,, +藏红杉,Larix griffithii,杨金祥,2348,1963/9/18,西藏,2800,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0215522.jpg,,,,,,,,,, +藏红杉,Larix griffithii,"C,W.Wang",63798,19350600,四川省,3500,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00059489.jpg,,,,,,,,,, +喜马拉雅落叶松,Larix himalaica,"唐宇丹,林秦文",2010163,20100926,西藏自治区,3550,南北向沟谷西坡、沙土和腐殖地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02023291.jpg,,,,,,,,,, +喜马拉雅红杉,Larix himalaica,杜庆,76-0103,19760607,宁夏回族自治区,2450,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/63866.jpg,,,,,,,,,, +喜马拉雅红杉,Larix himalaica,魏来、何毅,BNUXZ2016280,20160720,西藏,3600,山坡,,,https://image.cvh.ac.cn/files/l/BNU/0028291.jpg,,,,,,,,,, +,Larix kongboensis,"Ludlow, Frank: Sherriff, George & Taylor, George",4914,21-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00251095.jpg,,,,,,,,,, +四川红杉,Larix mastersiana,Chin-Sung Chang et al.,SI0064,20040707,四川省,3720,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01523219.jpg,,,,,,,,,, +汶川红杉,Larix mastersiana,吴县普查队,337,19610827,江苏省,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SHM/SHM0002237.jpg,,,,,,,,,, +四川红杉,Larix mastersiana,刘心源,15026,1959/08/,,,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0323751.jpg,,,,,,,,,, +大果红杉,Larix potaninii var. australis,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191433,20190922,云南,3618,亚热带针阔混交林,灌丛山坡上,乔木,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1485869.jpg,,,,,,,,,, +大果红杉,Larix potaninii var. australis,高宝纯,郭友好,谭仲明,111433,1974/5/18,四川,4200,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0302992.jpg,,,,,,,,,, +,Larix potaninii var. australis,,76-778,19760901,西藏自治区,4100,冷、云杉落叶松混交林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/00206359.jpg,,,,,,,,,, +,Larix potaninii var. macrocarpa,方震东,1645,19990816,云南,3400,,乔木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG008599.jpg,,,,,,,,,, +,Larix potaninii var. macrocarpa,周媚芳等,5,,西藏,3300,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF1000710.jpg,,,,,,,,,, +大果红杉,Larix potaninii var. macrocarpa,何兴金,王长宝,刘爽,易欣,SCU-09-057,20090825,四川,3637,高山坡地,乔木,,https://image.cvh.ac.cn/files/l/KUN/1404904.jpg,,,,,,,,,, +怒江红杉,Larix speciosa,李红、白洪兵,533324180827450LY,20180827,云南,3128.2,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009383.jpg,,,,,,,,,, +怒江红杉,Larix speciosa,"李渤生,程树志",1239,19821011,西藏自治区,3000~3600,冷棚林上段,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073430.jpg,,,,,,,,,, +怒江红杉,Larix speciosa,"赵清盛,伍煜庭",110907,19740508,四川省,,荒坡灌从中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00206934.jpg,,,,,,,,,, +,Larsenianthus arunachalensis,,,,,,,,,,,,,,,,,,, +,Larsenianthus careyanus,,,,,,,,,,,,,,,,,,, +刺芋,Lasia spinosa,侯宽昭,70855,19330603,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00141861.jpg,,,,,,,,,, +刺芋,Lasia spinosa,冯国楣,20549,19550421,云南省,650,山谷溪旁密林中潮湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/01436266.jpg,,,,,,,,,, +刺芋,Lasia spinosa,海南工作站,379,19600602,海南省 ,0~220,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0611912.jpg,,,,,,,,,, +云南毛果草,Lasiocaryum trichocarpum,D.E.Boufford et al,42157,20100722,云南省,3680~3840,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883696.jpg,,,,,,,,,, +云南毛果草,Lasiocaryum trichocarpum,夏光成,米泰康,2342,19650729,西藏自治区,3200,草地中向阳处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/87727.jpg,,,,,,,,,, +云南毛果草,Lasiocaryum trichocarpum,"张挺, 蔡杰, 刘成|920, 郭永杰|85, James Wood, 吴之坤",09CS1444,20090723,云南,,On stream bank,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1380757.jpg,,,,,,,,,, +伏石蕨,Lemmaphyllum microphyllum,岳俊三,2014,19620820,江西省,500,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00158912.jpg,,,,,,,,,, +伏石蕨,Lemmaphyllum microphyllum,李莉,170422195,20170422,江西,,路边、水沟,,无孢子囊,https://image.cvh.ac.cn/files/l/GNNU/GNNU0008142.jpg,,,,,,,,,, +伏石蕨,Lemmaphyllum microphyllum,曾宪锋,ZXF37521,20180603,广东,800,山地、密林,多年生匍匐草本,有孢子叶,https://image.cvh.ac.cn/files/l/CZH/CZH0032799.jpg,,,,,,,,,, +,Lemna aequinoctialis,Warren Douglas Stevens,23182,19841011,,350,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01722556.jpg,,,,,,,,,, +,Lemna aequinoctialis,,s.n.,,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01788633.jpg,,,,,,,,,, +,Lemna aequinoctialis,陈少卿,8500,19531026,广东省,,水田中疏荫,,无花无果,https://image.cvh.ac.cn/files/l/PE/01788631.jpg,,,,,,,,,, +浮萍,Lemna minor,黄河队,7170,19560630,陕西省,,水中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00000713.jpg,,,,,,,,,, +浮萍,Lemna minor,刘全儒,201809018,20180921,北京,,静水,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0049995.jpg,,,,,,,,,, +浮萍,Lemna minor,高信芬,邓亨宁,李诗琦,TXD-C-0073,20181109,四川,405,,水生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0249032.jpg,,,,,,,,,, +艾叶火绒草,Leontopodium artemisiifolium,E.E.Maire,,,云南省 ,0~2550,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0605537.jpg,,,,,,,,,, +艾叶火绒草,Leontopodium artemisiifolium,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/072744.jpg,,,,,,,,,, +艾叶火绒草,Leontopodium artemisiifolium,中甸队,2121,19620917,云南省,2900,陡坡松林下草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502815.jpg,,,,,,,,,, +美头火绒草,Leontopodium calocephalum,孙学刚等,6420,20060805,甘肃省,2850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798781.jpg,,,,,,,,,, +美头火绒草,Leontopodium calocephalum,陈又生,8071,20080815,云南省,3400,山顶草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113369.jpg,,,,,,,,,, +美头火绒草,Leontopodium calocephalum,G.Forrest,12988,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0605548.jpg,,,,,,,,,, +坚杆火绒草,Leontopodium franchetii,康藏植物考察队,10-3119,20100901,云南省,3320,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235995.jpg,,,,,,,,,, +坚杆火绒草,Leontopodium franchetii,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191459,20190923,云南,3743,亚热带针阔混交林,草地上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486463.jpg,,,,,,,,,, +,Leontopodium franchetii,"Soulié, J.A.",393,1893-8-6,,,,,,https://image.cvh.ac.cn/files/l/P/P01816333.jpg,,,,,,,,,, +香芸火绒草,Leontopodium haplophylloides,汤宗孝,246,19810606,云南省,2450,荒地边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00568191.jpg,,,,,,,,,, +香芸火绒草,Leontopodium haplophylloides,"陈又生,王泽欢",9296,20090805,西藏自治区,3600,山坡草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053300.jpg,,,,,,,,,, +香芸火绒草,Leontopodium haplophylloides,D. E. Boufford et al.,40420,20070823,甘肃省,3600~3620,dry slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882561.jpg,,,,,,,,,, +黑苞火绒草,Leontopodium melanolepis,王金亭,3484,19610709,西藏自治区,4750,沼泽地,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00530047.jpg,,,,,,,,,, +小花火绒草,Leontopodium micranthum,西藏中草药普查队,895,19720730,西藏自治区,4200~4300,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00503800.jpg,,,,,,,,,, +小花火绒草,Leontopodium micranthum,崔友文,4304,19510708,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00503798.jpg,,,,,,,,,, +藓状火绒草,Leontopodium muscoides,G.Forrest,12989,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0605694.jpg,,,,,,,,,, +藓状火绒草,Leontopodium muscoides,方震东,g-7,20061006,云南,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008842.jpg,,,,,,,,,, +藓状火绒草,Leontopodium muscoides,管中天,20224-1,19600404,四川省,0~3800,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0605695.jpg,,,,,,,,,, +,Leontopodium niveum,K. A. H. Smith,13397,1934/11/13,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00009611.jpg,,,,,,,,,, +白雪火绒草,Leontopodium niveum,"郎楷永,李良千,费勇",996,19820804,四川省,3600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190890.jpg,,,,,,,,,, +白雪火绒草,Leontopodium niveum,"张永田,郞楷永",489,19650709,西藏自治区,2700,松林下草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00503873.jpg,,,,,,,,,, +,Leontopodium roseum,"Smith, Karl August Harald",2317,27-Jun-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00413666.jpg,,,,,,,,,, +红花火绒草,Leontopodium roseum,何廷农、刘尚武、卢学峰、陈世龙等,338,20000620,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00013982.jpg,,,,,,,,,, +红花火绒草,Leontopodium roseum,汤宗孝,1251,19830630,四川省,2450,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530488.jpg,,,,,,,,,, +银叶火绒草,Leontopodium souliei,Gaoligong Shan Biodiversity Survey,28585,20050817,云南省,3630,growing among rocks on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671616.jpg,,,,,,,,,, +银叶火绒草,Leontopodium souliei,T.P.Wang,7544,1937/8/18,甘肃,3700,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0023063.jpg,,,,,,,,,, +银叶火绒草,Leontopodium souliei,青甘队,2723,1960/6/27,青海,2800,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0168022.jpg,,,,,,,,,, +木茎火绒草,Leontopodium stoechas,陈又生,9567,20090823,四川省,2780,草坡,,,https://image.cvh.ac.cn/files/l/PE/02053955.jpg,,,,,,,,,, +木茎火绒草,Leontopodium stoechas,K.T.Fu,1871,1937/9/20,四川,3200,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0022732.jpg,,,,,,,,,, +木茎火绒草,Leontopodium stoechas,C.W.Wang,66409,1935/09/,云南,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0035421.jpg,,,,,,,,,, +匍枝火绒草,Leontopodium stoloniferum,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201711,20200812,西藏,4946,湖边沙地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508432.jpg,,,,,,,,,, +匍枝火绒草,Leontopodium stoloniferum,郭先林、任婷,2038321,20200701,四川,4622,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02038321.jpg,,,,,,,,,, +匍枝火绒草,Leontopodium stoloniferum,"陈又生,王泽欢",9247,20090801,四川省,3312,Meadows,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053296.jpg,,,,,,,,,, +亚灌木火绒草,Leontopodium suffruticosum,青藏队植被组,9862,19760827,西藏自治区,3200,阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048532.jpg,,,,,,,,,, +柔毛火绒草,Leontopodium villosum,K.L.Chu,3557,19360812,四川省,4000,mt.open place,herbs,有花有果,https://image.cvh.ac.cn/files/l/PE/00530472.jpg,,,,,,,,,, +川西火绒草,Leontopodium wilsonii,Y.Tsiang,11463,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495075.jpg,,,,,,,,,, +川西火绒草,Leontopodium wilsonii,熊耀国,1501,19390000,江西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/LBG/00036135.jpg,,,,,,,,,, +川西火绒草,Leontopodium wilsonii,,2445,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530474.jpg,,,,,,,,,, +,Leonurus urticifolius,,,,,,,,,,,,,,,,,,, +狭叶瓦韦,Lepisorus angustus,,10471,19830409,,2000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01103279.jpg,,,,,,,,,, +狭叶瓦韦,Lepisorus angustus,"郭永杰, 王雨华, 杨立新, 李姗",18CS16966,20180513,西藏,1551,村旁,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1484280.jpg,,,,,,,,,, +狭叶瓦韦,Lepisorus angustus,农晓康,121,19580722,广西壮族自治区,820,树木上、阴处,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01103228.jpg,,,,,,,,,, +黄瓦韦,Lepisorus asterolepis,代天伦,103880,1958/10/20,四川,1350,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0130566.jpg,,,,,,,,,, +黄瓦韦,Lepisorus asterolepis,田林普查队,4.51E+14,20130419,广西,1296,针阔混交林,林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMG/GXMG0116584.jpg,,,,,,,,,, +黄瓦韦,Lepisorus asterolepis,P. C. Tsoong,3683,19360629,安徽省,1200,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01103320.jpg,,,,,,,,,, +二色瓦韦,Lepisorus bicolor,"董洪进,赵飞",WM-0501,20160518,云南省,1700~1900,路边林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02109429.jpg,,,,,,,,,, +二色瓦韦,Lepisorus bicolor,"王文广,刘平等",2279,20140715,四川省,1947~2500,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02021865.jpg,,,,,,,,,, +二色瓦韦,Lepisorus bicolor,徐养鹏,1613,1964/8/24,甘肃,1700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0128024.jpg,,,,,,,,,, +鳞果星蕨,Lepisorus buergerianus,李晓东,黄汉东 ,张炳坤,20335,20050613,湖北,,,草本,无孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0190927.jpg,,,,,,,,,, +,Lepisorus carnosus,,,,,,,,,,,,,,,,,,, +丛生瓦韦,Lepisorus cespitosus,李渤生 程树志,4336,19830427,西藏自治区,1700,常绿阔叶林岩壁上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01845215.jpg,,,,,,,,,, +网眼瓦韦,Lepisorus clathratus,黄河队,2531,1955/7/6,山西,2100,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0077269.jpg,,,,,,,,,, +网眼瓦韦,Lepisorus clathratus,李家美等,140804,20140804,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0000472.jpg,,,,,,,,,, +网眼瓦韦,Lepisorus clathratus,尹永洁,86,,广西壮族自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00396640.jpg,,,,,,,,,, +扭瓦韦,Lepisorus contortus,K.L.Chii,4,19400000,河南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01103646.jpg,,,,,,,,,, +扭瓦韦,Lepisorus contortus,,WR0036,20090919,甘肃省,1100~1300,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01938290.jpg,,,,,,,,,, +扭瓦韦,Lepisorus contortus,吴磊、罗金龙,5649,20170218,湖南,800,山坡密林,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSFI/CSFI075512.jpg,,,,,,,,,, +高山瓦韦,Lepisorus eilophyllus,Y.Tsiang,11607,19330823,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00159241.jpg,,,,,,,,,, +高山瓦韦,Lepisorus eilophyllus,"张宪春,向巧萍",6923,20130930,四川省,3000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02004202.jpg,,,,,,,,,, +高山瓦韦,Lepisorus eilophyllus,Dr.D.Hummeles,2525,,甘肃省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01103925.jpg,,,,,,,,,, +,Lepisorus ensatus,,,,,,,,,,,,,,,,,,, +,Lepisorus fortunei,杨光辉,55974,19570721,四川省,500,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00144622.jpg,,,,,,,,,, +吉隆瓦韦,Lepisorus gyriongensis,青藏队植被组,4555,19750715,西藏自治区,2200,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01521483.jpg,,,,,,,,,, +吉隆瓦韦,Lepisorus gyriongensis,Y. Tsiang,13043,19340208,云南省,,In woods,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01166562.jpg,,,,,,,,,, +,Lepisorus jakonensis,PE-西藏队,607,20100809,西藏自治区,3380,树干上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01915600.jpg,,,,,,,,,, +,Lepisorus likiangensis,余奇;郑臣臣;苏翠萍;胡苏,CIBYQ019B003,20180817,四川,3323,杂木林,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0245421.jpg,,,,,,,,,, +丽江瓦韦,Lepisorus likiangensis,周太炎,等,651225,19650803,新疆维吾尔自治区 ,2060,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00159196.jpg,,,,,,,,,, +丽江瓦韦,Lepisorus likiangensis,杨光辉,58818,19580716,重庆市,2600,岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01856772.jpg,,,,,,,,,, +线叶瓦韦,Lepisorus lineariformis,FLPH Tibet Expedition,12-1847,20120919,西藏自治区,2300~3300,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02004253.jpg,,,,,,,,,, +线叶瓦韦,Lepisorus lineariformis,齐新萍,Q072,20081002,云南省,1750,树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01852486.jpg,,,,,,,,,, +线叶瓦韦,Lepisorus lineariformis,刘振宇,2555,19820117,重庆市,1400,沙质岩壁上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01644034.jpg,,,,,,,,,, +带叶瓦韦,Lepisorus loriformis,张林、李星月、张晓严,6-253,20180615,西藏,2845,,,有孢子囊,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023564.jpg,,,,,,,,,, +带叶瓦韦,Lepisorus loriformis,"张秀实,任有铣",6822,19580823,四川省,2900,沟中岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01166899.jpg,,,,,,,,,, +带叶瓦韦,Lepisorus loriformis,鄂神农架植考队,31663,19760822,湖北省,1950,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0095365.jpg,,,,,,,,,, +狭带状瓦韦,Lepisorus loriformis var. steniste,青藏队,5554,19750606,西藏自治区,2500,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/48760.jpg,,,,,,,,,, +大瓦韦,Lepisorus macrosphaerus,关克俭,戴天伦,1161,19600719,河南省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00159344.jpg,,,,,,,,,, +大瓦韦,Lepisorus macrosphaerus,侯学煜,454,19410515,重庆市,1200,石灰岩上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01601733.jpg,,,,,,,,,, +大瓦韦,Lepisorus macrosphaerus,商辉、黄科瑞,SG0952,20150918,广西省,,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0096881.jpg,,,,,,,,,, +,Lepisorus maculosus,,,,,,,,,,,,,,,,,,, +墨脱瓦韦,Lepisorus medogensis,生态室高原组,14048a,19800806,西藏自治区,1750,附生树干,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00044886.jpg,,,,,,,,,, +墨脱瓦韦,Lepisorus medogensis,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4499,20160915,西藏,1604,疏林树干上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136438.jpg,,,,,,,,,, +,Lepisorus miyoshianus,X.C.Z,3026,20030902,云南省,,栽培,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02055671.jpg,,,,,,,,,, +丝苇蕨,Lepisorus miyoshianus,黄汉东,刘检明,胡华,1990,20170525,湖北,1600,,,有孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0179085.jpg,,,,,,,,,, +丝带蕨,Lepisorus miyoshianus,中山大学生科院2011级实习小组,DY3-1013,20120714,湖南,,阴处、石上, 草本 ,有孢子囊,https://image.cvh.ac.cn/files/l/SYS/SYS00207010.jpg,,,,,,,,,, +白边瓦韦,Lepisorus morrisonensis,白水江考察队,407,20060627,甘肃,2150~2300,石壁上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01822841.jpg,,,,,,,,,, +白边瓦韦,Lepisorus morrisonensis,白水江考察队,407,20060627,甘肃省,2150~2300,石壁上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01822841.jpg,,,,,,,,,, +白边瓦韦,Lepisorus morrisonensis,"Jin Xh,Wang LS,Wang Q et al.",ST0332,20130717,云南省,3500~3600,apline shrub,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02004109.jpg,,,,,,,,,, +,Lepisorus mucronatus,"Jin XH,Wang LS,Wang Q etc.",ST0937,20130724,云南省,1400~1500,mountain slope shade,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02032749.jpg,,,,,,,,,, +尖嘴蕨,Lepisorus mucronatus,田旗、王正伟、郭光普,TQ00598,20110511,西藏,,,,无孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0071099.jpg,,,,,,,,,, +尖嘴蕨,Lepisorus mucronatus,商辉、严岳鸿,SG1693,20170518,彭亨州 Pahang,924,附生,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0140658.jpg,,,,,,,,,, +,Lepisorus normalis,,,,,,,,,,,,,,,,,,, +,Lepisorus nudus,PE-西藏队,1195,20100817,西藏自治区,3450,坡上林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01915647.jpg,,,,,,,,,, +,Lepisorus nudus,Robert L.Fleming,2087,19711126,,1829,on boles of trees,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02049418.jpg,,,,,,,,,, +,Lepisorus nudus,彭玉兰、郑臣臣,THP-KD-3538,20170717,四川省,2905~3768,神树沟,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252763.jpg,,,,,,,,,, +鳞瓦韦,Lepisorus oligolepidus,裘佩喜,4320,,浙江省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01167237.jpg,,,,,,,,,, +鳞瓦韦,Lepisorus oligolepidus,Noriaki Fukuyama,4874,19330700,台湾省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00159494.jpg,,,,,,,,,, +鳞瓦韦,Lepisorus oligolepidus,,4527,19241109,安徽省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01167208.jpg,,,,,,,,,, +长瓦韦,Lepisorus pseudonudus,PE-西藏队,1781,20100825,西藏自治区,3310~3600,山坡、林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01915657.jpg,,,,,,,,,, +长瓦韦,Lepisorus pseudonudus,Y.Tsiang,13043,19340208,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00159518.jpg,,,,,,,,,, +长瓦韦,Lepisorus pseudonudus,张宪春等,2754,20010915,,2000~2200,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01185896.jpg,,,,,,,,,, +,Lepisorus rostratus,,,,,,,,,,,,,,,,,,, +,Lepisorus scolopendrium,PE西藏考察队,7430,20180617,西藏自治区,2818,林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02331755.jpg,,,,,,,,,, +,Lepisorus scolopendrium,严岳鸿等,13730,20030330,海南省,700,石灰石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01782347.jpg,,,,,,,,,, +棕鳞瓦韦,Lepisorus scolopendrium,陈正伟,SCH046,20130307,贵州省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/ZY/ZY0001525.jpg,,,,,,,,,, +,Lepisorus sinuatus,,,,,,,,,,,,,,,,,,, +黑鳞瓦韦,Lepisorus sordidus,中国西部科学院,2769,19320000,四川省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01167867.jpg,,,,,,,,,, +黑鳞瓦韦,Lepisorus sordidus,T.H.Tu,2769,19320417,重庆市,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CQNM/0000722.jpg,,,,,,,,,, +,Lepisorus sordidus,刘正宇,3935,19830321,重庆,,石壁上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/NAS/NAS00610772.jpg,,,,,,,,,, +川西瓦韦,Lepisorus soulieanus,T.N.Ho et al.,3003,19960908,青海省,3790,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01856569.jpg,,,,,,,,,, +川西瓦韦,Lepisorus soulieanus,,s.n.,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01856797.jpg,,,,,,,,,, +川西瓦韦,Lepisorus soulieanus,姜恕等,9625,19610723,四川省,3900,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01856875.jpg,,,,,,,,,, +连珠瓦韦,Lepisorus subconfluens,X.C.Zhang et al.,4518,20070901,云南省,3000,on rocks in forest,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02038939.jpg,,,,,,,,,, +连珠瓦韦,Lepisorus subconfluens,何国生,482,19800223,福建省,500,密林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01185618.jpg,,,,,,,,,, +连珠瓦韦,Lepisorus subconfluens,,,,,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00035701.jpg,,,,,,,,,, +,Lepisorus superficialis,,,,,,,,,,,,,,,,,,, +瓦韦,Lepisorus thunbergianus,"张宪春,武翀",5419,20081122,湖北省,500,on rocks,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01915783.jpg,,,,,,,,,, +瓦韦,Lepisorus thunbergianus,曾宪锋,ZXF37599,20180603,广东,630,山地、山谷,附生藤本,有孢子囊群,https://image.cvh.ac.cn/files/l/CZH/CZH0032877.jpg,,,,,,,,,, +瓦韦,Lepisorus thunbergianus,紹骙班,95,20150706,河南,,,,无花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0012094.jpg,,,,,,,,,, +西藏瓦韦,Lepisorus tibeticus,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1032,20021110,云南省,2570,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02308883.jpg,,,,,,,,,, +西藏瓦韦,Lepisorus tibeticus,"陈之端,张景博,叶建飞",40765,20110804,西藏自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02308902.jpg,,,,,,,,,, +西藏瓦韦,Lepisorus tibeticus,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07212,20160910,西藏,176,疏林树枝上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137100.jpg,,,,,,,,,, +阔叶瓦韦,Lepisorus tosaensis,严岳鸿、金摄郎、王莹,YYH13451,20140423,广西省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0052123.jpg,,,,,,,,,, +阔叶瓦韦,Lepisorus tosaensis,"严岳鸿,周劲松",13397,20011000,广东省,1100,石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01782346.jpg,,,,,,,,,, +阔叶瓦韦,Lepisorus tosaensis,"李中阳,卫然,张红瑞",7336,20150820,贵州省,800,石灰岩山地林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02051596.jpg,,,,,,,,,, +软毛瓦韦,Lepisorus tricholepis,"李渤生,程树志",11056,19821007,西藏自治区,3600,高山灌丛,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01184505.jpg,,,,,,,,,, +多变瓦韦,Lepisorus variabilis,谭士贤,52,19760818,重庆市,1100,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0009990.jpg,,,,,,,,,, +多变瓦韦,Lepisorus variabilis,张林、李星月、张晓严,2-110,20180611,西藏,3122,,,有孢子囊,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023601.jpg,,,,,,,,,, +多变瓦韦,Lepisorus variabilis,C.W.Wang,69748,19350900,云南省,3000,Under forest tree bark,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01856873.jpg,,,,,,,,,, +宽带蕨,Lepisorus waltonii,PE西藏队,PE5872,20170905,西藏自治区,3020~3460,林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01891841.jpg,,,,,,,,,, +掌状扇蕨,Lepisorus waltonii,严岳鸿、齐新萍,YYH13019,20130909,西藏,3710,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0042519.jpg,,,,,,,,,, +,Lepisorus zippelii,,,,,,,,,,,,,,,,,,, +薄唇蕨,Leptochilus axillaris,武素功,向建英,70009,20070808,云南省 ,1550~1600,epiphyte on the tree or lithophyte,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1225996.jpg,,,,,,,,,, +薄唇蕨,Leptochilus axillaris,蔡克华,852,19530504,云南省,,附生于小灌木上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01184610.jpg,,,,,,,,,, +薄唇蕨,Leptochilus axillaris,吕惠珍、林杨、莫连兰、班宝珍,451023150328008LY,20150328,广西壮族自治区,,阔叶林,林下,黄棕壤,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMG/GXMG0177897.jpg,,,,,,,,,, +似薄唇蕨,Leptochilus decurrens,张炳坤,09-0901,20091207,福建,985,森林,草本,无孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0175976.jpg,,,,,,,,,, +似薄唇蕨,Leptochilus decurrens,"张宪春,郭治友,税玉民等",8571,20170414,云南省,500,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234449.jpg,,,,,,,,,, +似薄唇蕨,Leptochilus decurrens,侯宽昭,82522,19350521,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00037749.jpg,,,,,,,,,, +曲边线蕨,Leptochilus ellipticus,张代贵,zdg4176,20120228,湖北省,2170,山坡密林下,乔木,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU05241.jpg,,,,,,,,,, +,Leptochilus ellipticus,"张宪春,郭治友,税玉民等",8356,20170409,云南省,600,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234439.jpg,,,,,,,,,, +,Leptochilus ellipticus,"李中阳,卫然,张红瑞",7391,20150821,贵州省,800,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02051412.jpg,,,,,,,,,, +,Leptochilus hemionitideus,"刘成, 亚吉东",18CS17779,20181201,西藏,1372,常绿阔叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1487025.jpg,,,,,,,,,, +断线蕨,Leptochilus hemionitideus,曾宪锋,ZXF47651,20190512,福建,678,山谷林下,多年生草本,有孢子囊群,https://image.cvh.ac.cn/files/l/CZH/CZH0042807.jpg,,,,,,,,,, +断线蕨,Leptochilus hemionitideus,曾宪锋,ZXF45162,20190304,广东,416,山谷湿处,多年生草本,有孢子囊群,https://image.cvh.ac.cn/files/l/CZH/CZH0040324.jpg,,,,,,,,,, +具柄线蕨,Leptochilus pedunculatus,金摄郎,JSL-GX 039,20120328,广西省,320,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0038853.jpg,,,,,,,,,, +具柄线蕨,Leptochilus pedunculatus,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07370,20160914,西藏,1624,密林下,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135950.jpg,,,,,,,,,, +具柄线蕨,Leptochilus pedunculatus,李中阳,张斌,PT476,20160714,广西,690,路边林下,,有孢子囊,https://image.cvh.ac.cn/files/l/GNNU/GNNU0012444.jpg,,,,,,,,,, +,Leptochilus pteropus,,,,,,,,,,,,,,,,,,, +,Leptocodon hirsutus,,,,,,,,,,,,,,,,,,, +黄杨叶野丁香,Leptodermis buxifolia,何叶祺,891,1958/10/1,甘肃,,,灌木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0387673.jpg,,,,,,,,,, +黄杨叶野丁香,Leptodermis buxifolia,四川第八森林大队,4741,19580801,四川省,2030,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0445033.jpg,,,,,,,,,, +黄杨叶野丁香,Leptodermis buxifolia,刘天慰,176,19620521,山西省,750,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/140158.jpg,,,,,,,,,, +丽江野丁香,Leptodermis dielsiana,赵致光,30171,19390527,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0445037.jpg,,,,,,,,,, +丽江野丁香,Leptodermis dielsiana,"刘杰, 罗亚皇, 刘基男, 谭少林",YMT3500-2-2002,20130619,云南,3544,川滇高山栎-杜鹃林,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1458164.jpg,,,,,,,,,, +,Leptodermis dielsiana,R. C. Ching,30171,1939/5/27,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00244500.jpg,,,,,,,,,, +文水野丁香,Leptodermis diffusa,张志英,10554,1959/9/1,甘肃,600,,灌木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0147458.jpg,,,,,,,,,, +文水野丁香,Leptodermis diffusa,刘慎谔,11788,19391017,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0445039.jpg,,,,,,,,,, +文水野丁香,Leptodermis diffusa,"李良千,王忠涛,杜玉芬,卫然",75,20110902,甘肃省,1135,河边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01914290.jpg,,,,,,,,,, +,Leptodermis forrestii,胡君、王东超,SC-a-056-B15,20180726,贵州,,高山栎群落中,灌木(幼株),无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609645.jpg,,,,,,,,,, +高山野丁香,Leptodermis forrestii,T.T.Yu,9923,19370829,云南省 ,3240,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0445056.jpg,,,,,,,,,, +,Leptodermis forrestii,胡君、李丽、罗垚、蒋洪,SC-a-183-B17,20190927,甘肃,1511,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261494.jpg,,,,,,,,,, +柔枝野丁香,Leptodermis gracilis,黄向旭、钟智波,15878,20130609,西藏自治区,0~1850,山地、平地、山谷,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0774795.jpg,,,,,,,,,, +,Leptodermis handeliana,,,,,,,,,,,,,,,,,,, +,Leptodermis hirsutiflora,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",41196,20090726,西藏自治区,3135,dry rocky slope on gravelly soil on slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115495.jpg,,,,,,,,,, +拉萨野丁香,Leptodermis hirsutiflora,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20474,20200617,西藏,3697,荒坡上,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507531.jpg,,,,,,,,,, +川南野丁香,Leptodermis limprichtii,,1542,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00030905.jpg,,,,,,,,,, +天全野丁香,Leptodermis limprichtii,T.T.Yu,1855,19331005,四川省,1050,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0445088.jpg,,,,,,,,,, +矮小野丁香,Leptodermis pumila,T.T.Yu,15076,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0445382.jpg,,,,,,,,,, +甘肃野丁香,Leptodermis purdomii,G.Forrest,12620,19140000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00792253.jpg,,,,,,,,,, +甘肃野丁香,Leptodermis purdomii,K.L.Chu,7896,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00792262.jpg,,,,,,,,,, +甘肃野丁香,Leptodermis purdomii,,,,四川省,2300,干旱河谷灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115439.jpg,,,,,,,,,, +,Leptodermis schneideri,廉永善等,May-93,19930807,甘肃省,1650,阳坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01590156.jpg,,,,,,,,,, +,Leptodermis schneideri,横断山队植被组,4263,19830624,四川省,2600~2800,干旱 河谷 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537413.jpg,,,,,,,,,, +,Leptodermis schneideri,C. K. Schneider,2210,14-Aug,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00096593.jpg,,,,,,,,,, +撕裂野丁香,Leptodermis scissa,H.T.Tsai,54065,1933/8/25,云南,2600,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0041976.jpg,,,,,,,,,, +撕裂野丁香,Leptodermis scissa,赵清盛、杨亚滨等,7593,1978-8 2,四川省,2550,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0131898.jpg,,,,,,,,,, +,Leptodermis scissa,"D.E.Boufford L.Y.Chen, X.H.Li & J.R.Shevock",42097,20100720,云南省,1800~2000,On slope among shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892066.jpg,,,,,,,,,, +伞花野丁香,Leptodermis umbellata,G.N.Potanin,,18850622,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00030901.jpg,,,,,,,,,, +伞花野丁香,Leptodermis umbellata,魏志平,2349,1958/9/11,甘肃,1050,,灌木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0109078.jpg,,,,,,,,,, +伞花野丁香,Leptodermis umbellata,T.N.Liou,11788,1939/10/17,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0063489.jpg,,,,,,,,,, +,Leptodermis velutiniflora,王乾、顾健,SCW1302,20200628,四川,2965,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274954.jpg,,,,,,,,,, +薄叶野丁香,Leptodermis velutiniflora,张清龙,5926,19631002,四川省,3000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0508461.jpg,,,,,,,,,, +薄叶野丁香,Leptodermis velutiniflora,冯国楣,4834,19400618,云南省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0508463.jpg,,,,,,,,,, +大果野丁香,Leptodermis wilsonii,许东先、张芬,87,20160731,四川省,1300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0039205.jpg,,,,,,,,,, +,Leptodermis wilsonii,G. Forrest,4789,,,2743~3048,,,,https://image.cvh.ac.cn/files/l/HUH/A00273068.jpg,,,,,,,,,, +西藏野丁香,Leptodermis xizangensis,西藏中草药普查队,395,19720622,西藏自治区,3400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/30147.jpg,,,,,,,,,, +,Leptodermis yui,,,,,,,,,,,,,,,,,,, +喜马拉雅茯蕨,Leptogramma himalaica,X.C.Zhang & L.Wang,4851,20070927,西藏自治区,2220,on cliffs at roadside,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02065176.jpg,,,,,,,,,, +喜马拉雅茯蕨,Leptogramma himalaica,"Jin Xh,Wang LS,Wang Q et al.",ST1103,20130726,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02004092.jpg,,,,,,,,,, +喜马拉雅茯蕨,Leptogramma himalaica,B.Ljortram,s.n.,19240521,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01686877.jpg,,,,,,,,,, +,Lespedeza fasciculiflora,,,,,,,,,,,,,,,,,,, +,Leucostegia truncata,,,,,,,,,,,,,,,,,,, +分株赖草,Leymus altus,邱娟,冯建菊,LiuJQ0170,20080812,新疆,3952,路边,荒草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402567.jpg,,,,,,,,,, +高株赖草,Leymus altus,邱娟、冯建菊,LiuJQ0170,20080812,新疆维吾尔自治区,3952,路边、荒草原,草本,无花有果,https://image.cvh.ac.cn/files/l/HNWP/00002199.jpg,,,,,,,,,, +柴达木赖草,Leymus pseudoracemosus,杨俊良、颜济,81001,19810818,青海,,,多年生,丛生,无花有果,https://image.cvh.ac.cn/files/l/SAUT/201402546.jpg,,,,,,,,,, +若羌赖草,Leymus ruoqiangensis,田新民,朱洪涛,LiuJQ-QLS-TXM-009,20080825,青海,2840,温带草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402598.jpg,,,,,,,,,, +若羌赖草,Leymus ruoqiangensis,青藏队,410,19590614,青海省,2560,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/003869.jpg,,,,,,,,,, +若羌赖草,Leymus ruoqiangensis,刘全儒,ALT.130,20140725,新疆,3925,沙漠,草,,https://image.cvh.ac.cn/files/l/BNU/0028690.jpg,,,,,,,,,, +,LiLium xanthellum,,,,,,,,,,,,,,,,,,, +地岩风,Libanotis depressa,T.N.Ho (HNWP) et al.,2563,19960828,青海省,3620,Glosely apressed rosette perennial;petals white Growing in alpine meadow on ridges.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758104.jpg,,,,,,,,,, +地岩风,Libanotis depressa,德格队,549,,四川,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715003275.jpg,,,,,,,,,, +地岩风,Libanotis depressa,周太炎等,652067,19650808,新疆维吾尔自治区,2140,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00034372.jpg,,,,,,,,,, +雅致轴榈,Licuala peltata,肖春芬,C110001,20060728,云南省,570,棕榈园,小乔木,,https://image.cvh.ac.cn/files/l/HITBC/0023944.jpg,,,,,,,,,, +翅柄橐吾,Ligularia alatipes,杨祥学,11128,19511025,江西,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/JXU/JXU0017994.jpg,,,,,,,,,, +,Ligularia alatipes,"Forrest, George",2853,,,,,,,https://image.cvh.ac.cn/files/l/E/E00417048.jpg,,,,,,,,,, +翅柄橐吾,Ligularia alatipes,Kham Expedition,10-3006,20100829,云南省,2572,冷杉林缘山坡湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110917.jpg,,,,,,,,,, +黑紫橐吾,Ligularia atroviolacea,G.Forrest,13084,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0605903.jpg,,,,,,,,,, +黑紫橐吾,Ligularia atroviolacea,FLPH Sichuan Expedition,151163,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235051.jpg,,,,,,,,,, +四川新分布,Ligularia atroviolacea,高云东,邓亨宁,黎怀成,THP-KD-2132,20170805,四川,3600~4000,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252576.jpg,,,,,,,,,, +芥形橐吾,Ligularia brassicoides,李馨,71407,19570610,四川省,2800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530632.jpg,,,,,,,,,, +芥形橐吾,Ligularia brassicoides,余岩、粟美好,2021234,20200718,四川,4020,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02021234.jpg,,,,,,,,,, +灰苞橐吾,Ligularia chalybea,"杨亲二,孔宏智",98-377,19980910,云南省,4300,水边潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776538.jpg,,,,,,,,,, +灰苞橐吾,Ligularia chalybea,赵清盛,6421,1978-8 4,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172364.jpg,,,,,,,,,, +长毛橐吾,Ligularia changiana,,57600,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495535.jpg,,,,,,,,,, +密花橐吾,Ligularia confertiflora,"陈又生,毕延超",11-143,20110812,云南省,3345,湿草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111473.jpg,,,,,,,,,, +,Ligularia confertiflora,"Forrest, George",28921,,,,,,,https://image.cvh.ac.cn/files/l/E/E00499841.jpg,,,,,,,,,, +密花橐吾,Ligularia confertiflora,青藏队,12399,19830724,四川省,3800,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111108.jpg,,,,,,,,,, +弯苞橐吾,Ligularia curvisquama,T.T.Yu,8757,19370706,云南省,3500,road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/00568150.jpg,,,,,,,,,, +弯苞橐吾,Ligularia curvisquama,"龚洵, 潘跃芝, 湛青青",PG090973,20090926,云南,4120,草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452682.jpg,,,,,,,,,, +,Ligularia curvisquama,"Forrest, George",14572,17-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00499840.jpg,,,,,,,,,, +浅苞橐吾,Ligularia cyathiceps,"杨亲二, 孔航辉, 李磊",YangQE3046,20100821,云南,,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1370273.jpg,,,,,,,,,, +,Ligularia cyathiceps,"Monbeig, Jean-Théodore (Abbé/Père)",148,1907,,,,,,https://image.cvh.ac.cn/files/l/E/E00502118.jpg,,,,,,,,,, +浅苞橐吾,Ligularia cyathiceps,"陈又生,毕延超",11-177,20110818,西藏自治区,3984,草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/02001997.jpg,,,,,,,,,, +,Ligularia cymbulifera,"Forrest, George",6236,10-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00413256.jpg,,,,,,,,,, +舟叶橐吾,Ligularia cymbulifera,D.E.Boufford et al,35164,20060723,云南省,3780~3930,Wet meadow in opening in forest.,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885318.jpg,,,,,,,,,, +舟叶橐吾,Ligularia cymbulifera,"龚洵, 潘跃芝, 湛青青",PG090936,20090922,云南,3750,草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452673.jpg,,,,,,,,,, +聚伞橐吾,Ligularia cymosa,"郎楷永,李良千,费勇",900,19820801,四川省,3500~3750,高山 栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01535667.jpg,,,,,,,,,, +,Ligularia dictyoneura,"Delavay, J.M.",91,1883-7-24,,,,,,https://image.cvh.ac.cn/files/l/P/P00723349.jpg,,,,,,,,,, +网脉橐吾,Ligularia dictyoneura,D.E.Boufford et al.,42130,20100721,云南省,2520~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917507.jpg,,,,,,,,,, +网脉橐吾,Ligularia dictyoneura,青藏补点组,751104,19750802,西藏自治区,4360,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/822940.jpg,,,,,,,,,, +盘状橐吾,Ligularia discoidea,"陈又生,王泽欢",9387,20090810,西藏自治区,4300~4400,草坡或灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053599.jpg,,,,,,,,,, +盘状橐吾,Ligularia discoidea,"张挺, 刘成, 亚吉东",18CS17725,20180917,西藏,3604,路边山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487416.jpg,,,,,,,,,, +毛茎橐吾,Ligularia eriocaulis,赵显国,93012,19930820,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0213766.jpg,,,,,,,,,, +,Ligularia euryphylla,,,,,,,,,,,,,,,,,,, +粗茎橐吾,Ligularia ghatsukupa,PE西藏队,PE5607,20170901,西藏自治区,4900,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890617.jpg,,,,,,,,,, +粗茎橐吾,Ligularia ghatsukupa,"龚洵, 余姣君, 龚奕青, 熊江",PG121006B,20121013,西藏,,灌丛下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395725.jpg,,,,,,,,,, +粗茎橐吾,Ligularia ghatsukupa,和光、马剑,D-085,20040715,云南省,4600,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002748.jpg,,,,,,,,,, +康定橐吾,Ligularia kangtingensis,"蒋兴麟,熊济华",36535,19530806,四川省,3980,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531299.jpg,,,,,,,,,, +,Ligularia kangtingensis,彭玉兰、涂卫国、幸福,Gaoxf382,20080720,四川,4069,,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0204476.jpg,,,,,,,,,, +康定橐吾,Ligularia kangtingensis,熊耀国,6319,19470000,江西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/LBG/00036102.jpg,,,,,,,,,, +,Ligularia konkalingensis,"龚洵, 潘跃芝, 湛青青",PG090945,20090923,四川,3600,草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452667.jpg,,,,,,,,,, +,Ligularia lapathifolia,"Maire, E.E.",s.n.,14-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00413257.jpg,,,,,,,,,, +牛蒡叶橐吾,Ligularia lapathifolia,"H.Li,S.X.Yang,R.Li etc.",993,20021108,云南省,2520,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091157.jpg,,,,,,,,,, +牛蒡叶橐吾,Ligularia lapathifolia,何铸 唐世贵 李伯清,11442,19580903,四川,1400,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719403309.jpg,,,,,,,,,, +阔柄橐吾,Ligularia latipes,,8796,19750819,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01564966.jpg,,,,,,,,,, +,Ligularia latipes,王乾、顾健,SCW1485,20200623,四川,3853,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260156.jpg,,,,,,,,,, +缘毛橐吾,Ligularia liatroides,张珍万,2089,1963/7/8,青海,3560,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0393753.jpg,,,,,,,,,, +缘毛橐吾,Ligularia liatroides,陈晓澄等,Chenxc-204,20170901,西藏,4188,灌木下,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018176.jpg,,,,,,,,,, +,Ligularia liatroides,"Rock, Joseph Francis Charles",16792,28-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00499851.jpg,,,,,,,,,, +丽江橐吾,Ligularia lidjiangensis,"杨亲二,孔宏智",98-467,19980927,云南省,2750~2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01796869.jpg,,,,,,,,,, +,Ligularia lidjiangensis,,,,,,,,,,,,,,,,,,, +君范橐吾,Ligularia lingiana,赵清盛,8294,1978-8 2,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172369.jpg,,,,,,,,,, +长戟橐吾,Ligularia longihastata,K.M.Feng,1772,19390723,云南省,3600,On open past,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531368.jpg,,,,,,,,,, +大齿橐吾,Ligularia macrodonta,孙学刚等,2075,20000803,甘肃省,2810~2833,沟谷水边灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798792.jpg,,,,,,,,,, +,Ligularia macrodonta,R. C. Ching,866,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00009797.jpg,,,,,,,,,, +四川新分布,Ligularia macrodonta,鞠文彬,郑臣臣,THP-KD-5952,20170812,四川,3716,林缘,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252604.jpg,,,,,,,,,, +黑苞橐吾,Ligularia melanocephala,"H.Li,S.X.Yang,R.Li etc.",387,20020816,云南省,2550,山坡次生林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091333.jpg,,,,,,,,,, +黑苞橐吾,Ligularia melanocephala,"蔡杰, 郭永杰, 吴之坤, 赵永亮",11CS2963,20111018,云南,,高山草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1376035.jpg,,,,,,,,,, +黑苞橐吾,Ligularia melanocephala,"康藏植物考察队(Kham Expedition)(陈又生,高云东,周广明,何理,张宪春,马祥光)",10-270,20100720,四川省,4178,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111479.jpg,,,,,,,,,, +黑穗橐吾,Ligularia melanothyrsa,不祥,22384,19590713,云南省,3250,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/45418.jpg,,,,,,,,,, +黑穗橐吾,Ligularia melanothyrsa,四川植被队,13737,1976-7 1,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0146169.jpg,,,,,,,,,, +,Ligularia melanothyrsa,J. F. Rock,16724II,28-Jul,,4300,,,,https://image.cvh.ac.cn/files/l/HUH/GH00125142.jpg,,,,,,,,,, +心叶橐吾,Ligularia microcardia,"陈又生,毕延超",11-152,20110814,云南省,3335,林缘或疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052715.jpg,,,,,,,,,, +,Ligularia microcardia,"Forrest, George",16800,18-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00413252.jpg,,,,,,,,,, +心叶橐吾,Ligularia microcardia,姜恕等,7693,19600727,四川省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797635.jpg,,,,,,,,,, +小头橐吾,Ligularia microcephala,"徐连升,柯芮",150129,,云南省,,山坡乱石堆,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084155.jpg,,,,,,,,,, +小头橐吾,Ligularia microcephala,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531388.jpg,,,,,,,,,, +小头橐吾,Ligularia microcephala,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191489,20190926,云南,4273,亚热带,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486221.jpg,,,,,,,,,, +木里橐吾,Ligularia muliensis,"陈又生,王泽欢",9061,20090721,云南省,2750,林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053275.jpg,,,,,,,,,, +,Ligularia muliensis,高云东,鞠文彬,杨焰,THP-KD-1936,20170717,四川,3400~3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252912.jpg,,,,,,,,,, +木里橐吾,Ligularia muliensis,白洪兵、李红,533324180921985LY,20180921,云南,3610,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010021.jpg,,,,,,,,,, +千花橐吾,Ligularia myriocephala,"唐宇丹,林秦文",2010-067,20100916,西藏自治区,4354,南坡 印度暖湿气流影响湿润,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037179.jpg,,,,,,,,,, +林芝橐吾,Ligularia nyingchiensis,FLPH Tibet Expedition,12-1981,,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967543.jpg,,,,,,,,,, +林芝橐吾,Ligularia nyingchiensis,张林、李星月、张晓严,5月1日,20180609,西藏,4843,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023645.jpg,,,,,,,,,, +马蹄叶橐吾,Ligularia odontomanes,"陈又生,毕延超",11-092,20110807,云南省,3120,湿草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052712.jpg,,,,,,,,,, +马蹄叶橐吾,Ligularia odontomanes,"陈又生,毕延超",11-064,20110728,四川省,2795,灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052709.jpg,,,,,,,,,, +,Ligularia odontomanes,,,,,,,,,,,,,,,,,,, +疏舌橐吾,Ligularia oligonema,T.T.Yu,13645,19371008,云南省,3700,山谷中水溪边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531442.jpg,,,,,,,,,, +疏舌橐吾,Ligularia oligonema,,1705,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00568165.jpg,,,,,,,,,, +疏舌橐吾,Ligularia oligonema,俞德浚,13279,19370911,四川省,3900,side of mt stream,,有花无果,https://image.cvh.ac.cn/files/l/KUN/824439.jpg,,,,,,,,,, +奇形橐吾,Ligularia paradoxa,G.Forrest,12712,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606158.jpg,,,,,,,,,, +奇形橐吾,Ligularia paradoxa,中甸队,1417,19620826,云南省,3600~4000,冷杉林下溪边草地成片生长,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531456.jpg,,,,,,,,,, +,Ligularia paradoxa,"Handel-Mazzetti, H.",7214,4-Aug-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00413278.jpg,,,,,,,,,, +,Ligularia petiolaris,PE西藏队,PE5885,20170905,西藏自治区,3020~3460,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890409.jpg,,,,,,,,,, +紫缨橐吾,Ligularia phoenicochaeta,吴征镒等,21625,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531635.jpg,,,,,,,,,, +紫缨橐吾,Ligularia phoenicochaeta,J.F.Rock,23175,193205,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/732845.jpg,,,,,,,,,, +侧茎橐吾,Ligularia pleurocaulis,G.Forrest,13205,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606167.jpg,,,,,,,,,, +侧茎橐吾,Ligularia pleurocaulis,何廷农,1267,19890929,云南,3950,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027951.jpg,,,,,,,,,, +,Ligularia pleurocaulis,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-149-B24,20190825,西藏,4011,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274023.jpg,,,,,,,,,, +浅齿橐吾,Ligularia potaninii,陈又生,9655,20090829,四川省,4625,湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053270.jpg,,,,,,,,,, +浅齿橐吾,Ligularia potaninii,J.F.Rock,12998,19250700,甘肃省,4000,Swampy trail,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531531.jpg,,,,,,,,,, +浅齿橐吾,Ligularia potaninii,谢登峰、蔡竞、秦换换,SC-00-022-A-026,20200823,四川,3805.6m,灌丛草原,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02061456.jpg,,,,,,,,,, +宽翅橐吾,Ligularia pterodonta,刘慎谔,21293,19461005,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01564973.jpg,,,,,,,,,, +,Ligularia pterodonta,"Forrest, George",28837,,,,,,,https://image.cvh.ac.cn/files/l/E/E00430090.jpg,,,,,,,,,, +,Ligularia pubifolia,"应俊生,洪德元",650942,19650822,西藏自治区,3600,灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531637.jpg,,,,,,,,,, +褐毛橐吾,Ligularia purdomii,王为义等,27683,19830810,青海省,3200,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/105503.jpg,,,,,,,,,, +褐毛橐吾,Ligularia purdomii,吴玉虎,32031,20040806,甘肃,3330,河滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027973.jpg,,,,,,,,,, +褐毛橐吾,Ligularia purdomii,王为义等,27683,19830725,青海,3300-3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027971.jpg,,,,,,,,,, +独舌橐吾,Ligularia rockiana,J.F.Rock,22730,193205,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/824538.jpg,,,,,,,,,, +独舌橐吾,Ligularia rockiana,张超 ,20071007,20070623,四川省,2100,,草本,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/017709.jpg,,,,,,,,,, +,Ligularia rockiana,J. F. Rock,17167,28-Aug,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00009800.jpg,,,,,,,,,, +裂舌橐吾,Ligularia stenoglossa,X.H.Jin et al.,DLJ-ET 3466,20080720,西藏自治区,,conifer forest.,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053182.jpg,,,,,,,,,, +狭舌橐吾,Ligularia stenoglossa,,20122,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0055499.jpg,,,,,,,,,, +裂舌橐吾,Ligularia stenoglossa,王汉臣,4498,19450800,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606250.jpg,,,,,,,,,, +穗序橐吾,Ligularia subspicata,龚洵,潘跃芝,湛青青,PG090981,20090928,云南,3840,林下,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1439282.jpg,,,,,,,,,, +穗序橐吾,Ligularia subspicata,"龚洵, 潘跃芝, 湛青青",PG090972,20090926,四川,3760,草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1452683.jpg,,,,,,,,,, +穗序橐吾,Ligularia subspicata,陈又生,9657,20090829,四川省,3800~4000,山谷林缘草坡,,,https://image.cvh.ac.cn/files/l/PE/02053779.jpg,,,,,,,,,, +纤细橐吾,Ligularia tenuicaulis,"杨亲二,孔宏智",98-120,19980824,云南省,3300,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01796902.jpg,,,,,,,,,, +,Ligularia tenuicaulis,"李渤生,倪志诚,程树志",6024,19830729,西藏,3600~4000,Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831219.jpg,,,,,,,,,, +,Ligularia tenuicaulis,"Forrest, George",20256,21-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00499830.jpg,,,,,,,,,, +东久橐吾,Ligularia tongkyukensis,R.P.Soulie,,19030708,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02037328.jpg,,,,,,,,,, +露珠草,Ligularia tongkyukensis,李春燕,BJTC008942,20190703,北京市,818,山坡路边,草本,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008942.jpg,,,,,,,,,, +东久橐吾,Ligularia tongkyukensis,胡君,王东超,李丽,李奥奥,曾思源,黄欣,SC-a-004-B18,20160729,四川省,3787,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610212.jpg,,,,,,,,,, +东俄洛橐吾,Ligularia tongolensis,"蔡杰, 郭永杰, 吴之坤, 刘成",11CS2995,20111020,云南,,路边开阔草坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1376036.jpg,,,,,,,,,, +,Ligularia tongolensis,,,,,,,,,,,,,,,,,,, +东俄洛橐吾,Ligularia tongolensis,FLPH Sichuan Expedition,151311,20150826,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084585.jpg,,,,,,,,,, +横叶橐吾,Ligularia transversifolia,George Forrest,10831,19130800,云南省,3333~3667,Open stony pasture,,有花有果,https://image.cvh.ac.cn/files/l/PE/00532244.jpg,,,,,,,,,, +苍山橐吾,Ligularia tsangchanensis,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191416,20190921,云南,3584,亚热带针阔混交林,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484543.jpg,,,,,,,,,, +苍山橐吾,Ligularia tsangchanensis,R.P.Soulie.,s.n.,19030708,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052385.jpg,,,,,,,,,, +苍山橐吾,Ligularia tsangchanensis,T.T.Yu,8799,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799180.jpg,,,,,,,,,, +棉毛橐吾,Ligularia vellerea,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191453,20190923,云南,3695,亚热带针阔混交林,草地上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486451.jpg,,,,,,,,,, +绵毛橐吾,Ligularia vellerea,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/072787.jpg,,,,,,,,,, +棉毛橐吾,Ligularia vellerea,,13737,19760712,四川省,3200,潮湿灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01796991.jpg,,,,,,,,,, +,Ligularia yunnanensis,"Delavay, J.M.",4052,1889-8-29,,,,,,https://image.cvh.ac.cn/files/l/P/P00723313.jpg,,,,,,,,,, +云南橐吾,Ligularia yunnanensis,,2644,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606356.jpg,,,,,,,,,, +,Ligularia yunnanensis,,11560,19380828,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0055519.jpg,,,,,,,,,, +细苞藁本,Ligusticum capillaceum,K.M.Feng,6590,19400813,云南省,3800~3900,岩坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758273.jpg,,,,,,,,,, +,Ligusticum capillaceum,"Rock, Joseph Francis Charles",10791,19-Sep-23,,,,,,https://image.cvh.ac.cn/files/l/E/E00000230.jpg,,,,,,,,,, +细苞藁本,Ligusticum capillaceum,T.P.Wang,7258,19370719,甘肃省,3800,On high weedy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758262.jpg,,,,,,,,,, +丽江藁本,Ligusticum delavayi,青藏队补点组,750698,19750725,西藏自治区,4210,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758347.jpg,,,,,,,,,, +丽江藁本,Ligusticum delavayi,联大,3507,,云南省 ,0,,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0462947.jpg,,,,,,,,,, +丽江藁本,Ligusticum delavayi,谢登峰、成瑞渝,2032191,20190926,四川,3110,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/02032191.jpg,,,,,,,,,, +紫色藁本,Ligusticum franchetii,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13954,20161017,四川,4006,高山灌草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1456182.jpg,,,,,,,,,, +紫色藁本,Ligusticum franchetii,赵清盛,8508,19790909,四川省,3950,,,有花有果,https://image.cvh.ac.cn/files/l/SZ/00031068.jpg,,,,,,,,,, +,Ligusticum franchetii,"Soulié, J.A.",1065,1893,,,,,,https://image.cvh.ac.cn/files/l/P/P03224801.jpg,,,,,,,,,, +,Ligusticum glaucifolium,"Forrest, George",11280,13-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00002345.jpg,,,,,,,,,, +白叶藁本,Ligusticum glaucifolium,CLD-90,1142,19901011,云南省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01893846.jpg,,,,,,,,,, +白叶藁本,Ligusticum glaucifolium,刘德团、王丽果,LJYZ017,20161023,云南,2726,亚热带针阔混交林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1556836.jpg,,,,,,,,,, +吉隆藁本,Ligusticum gyirongense,,10851,19900919,西藏自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01196059.jpg,,,,,,,,,, +吉隆藁本,Ligusticum gyirongense,Y.P.Chang,635,19401101,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00026466.jpg,,,,,,,,,, +毛藁本,Ligusticum hispidum,,2454,19240908,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00780073.jpg,,,,,,,,,, +毛藁本,Ligusticum hispidum,,22,,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00039653.jpg,,,,,,,,,, +,Ligusticum hispidum,彭玉兰、涂卫国、幸福,Gaoxf294,20080718,四川,4035,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0205374.jpg,,,,,,,,,, +多苞藁本,Ligusticum involucratum,蔡希陶,58045,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0463035.jpg,,,,,,,,,, +多苞藁本,Ligusticum involucratum,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758391.jpg,,,,,,,,,, +多苞藁本,Ligusticum involucratum,青藏队,5156,19810823,四川省,4300,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758365.jpg,,,,,,,,,, +美脉藁本,Ligusticum likiangense,溥发鼎、潘泽惠,938,Oct-86,云南省,2900,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102350.jpg,,,,,,,,,, +美脉藁本,Ligusticum likiangense,任婷、李子宣,2044151,20200810,云南,2844,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02044151.jpg,,,,,,,,,, +美脉藁本,Ligusticum likiangense,四川植被调查队,3143,1973-8 1,四川省,4500,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102367.jpg,,,,,,,,,, +理塘藁本,Ligusticum litangense,溥发鼎,374,1984-9 2,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172279.jpg,,,,,,,,,, +多管藁本,Ligusticum multivittatum,CLD-90,308,19900927,云南省,3400,Dry bank in Pinus forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01893839.jpg,,,,,,,,,, +线叶藁本,Ligusticum nematophyllum,溥发鼎,356,1984-9 1,四川省,4200,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102412.jpg,,,,,,,,,, +线叶藁本,Ligusticum nematophyllum,谢登峰、蔡竞、秦换换,SC-00-022-A-017,20200823,四川,3805.6m,灌丛草原,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02061397.jpg,,,,,,,,,, +蕨叶藁本,Ligusticum pteridophyllum,王献浦,22061,19520923,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01553360.jpg,,,,,,,,,, +蕨叶藁本,Ligusticum pteridophyllum,,12343,19380915,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758504.jpg,,,,,,,,,, +蕨叶藁本,Ligusticum pteridophyllum,,5350,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758516.jpg,,,,,,,,,, +抽葶藁本,Ligusticum scapiforme,Anonymous,5532,19740708,四川省,3600,草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01940346.jpg,,,,,,,,,, +抽莛藁本,Ligusticum scapiforme,,523,19591108,安徽省,800,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00064574.jpg,,,,,,,,,, +抽葶藁本,Ligusticum scapiforme,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13969,20161018,四川,3838,山坡灌草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454216.jpg,,,,,,,,,, +川滇藁本,Ligusticum sikiangense,,11782,19380901,湖南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00758565.jpg,,,,,,,,,, +川滇藁本,Ligusticum sikiangense,谢登峰、卫静丽,2028801,20190921,四川,4396,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/02028801.jpg,,,,,,,,,, +川滇藁本,Ligusticum sikiangense,T.T.Yu,14609,19371022,云南省 ,4000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00039501.jpg,,,,,,,,,, +开瓣百合,Lilium apertum,Delavay,4178,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00035772.jpg,,,,,,,,,, +,Lilium basilissum,,,,,,,,,,,,,,,,,,, +,Lilium brevistylum,,,,,,,,,,,,,,,,,,, +野百合,Lilium brownii,"田,王,秦,段",58,19551009,陕西省,1000,草地 阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827255.jpg,,,,,,,,,, +野百合,Lilium brownii,吕正伟,1038,19780706,青海省,950,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/221990.jpg,,,,,,,,,, +野百合,Lilium brownii,刘林翰,9131,1958/6/25,湖南,1050,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0328236.jpg,,,,,,,,,, +,Lilium duchartrei,,,,,,,,,,,,,,,,,,, +,Lilium habaense,,,,,,,,,,,,,,,,,,, +,Lilium henrici,,,,,,,,,,,,,,,,,,, +珠芽百合,Lilium lancifolium,,2815,1932/8/8,河北; HOPEI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00022818.jpg,,,,,,,,,, +卷丹,Lilium lancifolium,兴安县普查队,450325150717001LY ,20150717,广西,,阔叶林,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0109771.jpg,,,,,,,,,, +卷丹,Lilium lancifolium,浙江植物资源普查队,28059,19590714,浙江省,920,生于较阴湿的林下,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00566421.jpg,,,,,,,,,, +,Lilium lankongense,,,,,,,,,,,,,,,,,,, +,Lilium lijiangense,,,,,,,,,,,,,,,,,,, +,Lilium lophophorum,,,,,,,,,,,,,,,,,,, +线叶百合,Lilium lophophorum var. linearifolium,秦仁昌,30852,19400705,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/222311.jpg,,,,,,,,,, +线叶百合,Lilium lophophorum var. linearifolium,Joseph F. Rock,25057,Aug-32,云南; YUNNAN,"13,0",,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00022845.jpg,,,,,,,,,, +,Lilium lophophorum var. linearifolium,J. F. Rock,25158,Jul-32,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00029973.jpg,,,,,,,,,, +,Lilium matangense,,,,,,,,,,,,,,,,,,, +墨脱百合,Lilium medogense,陈伟烈/W.L.Chen,10625,19800626,西藏自治区,3000,冷杉林中,空地,石隙,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00036346.jpg,,,,,,,,,, +墨脱百合,Lilium medogense,高云东,袁俞梅,gyd-1408,20220702,西藏,2882,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0286958.jpg,,,,,,,,,, +小百合,Lilium nanum,青藏队,2698,19810713,云南省,4200~4500,高山灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00332114.jpg,,,,,,,,,, +小百合,Lilium nanum,张大才,李双智,唐路,孙琼琼,ZhangDC-07ZX-1809,20090927,西藏,4605,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391931.jpg,,,,,,,,,, +小百合,Lilium nanum,李馨,77759,19580616,四川省,0~4400,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0643333.jpg,,,,,,,,,, +短花柱小百合,Lilium nanum var. brevistylum,青藏队,73-394,19730627,西藏自治区,4280,林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00036363.jpg,,,,,,,,,, +短花柱小百合,Lilium nanum var. brevistylum,青藏队,73-394,19730627,西藏,4280,Larix 林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0347621.jpg,,,,,,,,,, +黄花小百合,Lilium nanum var. flavidum,,548,19590630,,4370,河滩水边,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00036366.jpg,,,,,,,,,, +黄花小百合,Lilium nanum var. flavidum,Forrest,25699,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00022847.jpg,,,,,,,,,, +黄花小百合,Lilium nanum var. flavidum,PE西藏考察队,7647,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332584.jpg,,,,,,,,,, +紫斑百合,Lilium nepalense,C.W.Wang,84698,19391027,云南省,1200,open space in woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00332117.jpg,,,,,,,,,, +紫斑百合,Lilium nepalense,吴征镒等,75-586,19750704,西藏自治区,3000,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948650.jpg,,,,,,,,,, +紫斑百合,Lilium nepalense,,75-592,19750710,,2400,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01945602.jpg,,,,,,,,,, +,Lilium paradoxum,,,,,,,,,,,,,,,,,,, +,Lilium pinifolium,,,,,,,,,,,,,,,,,,, +,Lilium regale,,,,,,,,,,,,,,,,,,, +,Lilium saccatum,,,,,,,,,,,,,,,,,,, +碟花百合,Lilium saluenense,Forrest,16718,,西藏; Tibet,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00022871.jpg,,,,,,,,,, +,Lilium souliei,,,,,,,,,,,,,,,,,,, +,Lilium stewartianum,,,,,,,,,,,,,,,,,,, +,Lilium synapticum,,,,,,,,,,,,,,,,,,, +,Lilium taliense,,,,,,,,,,,,,,,,,,, +,Lilium wallichianum,,,,,,,,,,,,,,,,,,, +,Lilium wardii,,,,,,,,,,,,,,,,,,, +小百合,Lilium yapingense,旷仁平,LXP03-07309,20160712,江西,,山谷、壤土、疏林,陆生,草本,直立,有花无果,https://image.cvh.ac.cn/files/l/HNNU/HNNU00062438.jpg,,,,,,,,,, +,Limonium potaninii,,,,,,,,,,,,,,,,,,, +宽叶柳穿鱼,Linaria thibetica,罗毅波,ML057,20090928,西藏自治区,3718,高山灌丛、草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01916156.jpg,,,,,,,,,, +宽叶柳穿鱼,Linaria thibetica,洪德元等,95077,19950825,四川省,3100,N坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01475742.jpg,,,,,,,,,, +宽叶柳穿鱼,Linaria thibetica,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01383620.jpg,,,,,,,,,, +云南柳穿鱼,Linaria yunnanensis,T.T.Yu,13242,19370910,四川省,3100,margin of thickets,,有花有果,https://image.cvh.ac.cn/files/l/PE/01383817.jpg,,,,,,,,,, +云南柳穿鱼,Linaria yunnanensis,亚吉东、刘成,15CS11208,20150921,云南,3771,云杉林缘石坡,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1396052.jpg,,,,,,,,,, +云南柳穿鱼,Linaria yunnanensis,G.Forrest,12919,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0556569.jpg,,,,,,,,,, +香叶树,Lindera communis,邓云飞等,10494,19971219,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01605769.jpg,,,,,,,,,, +香叶树,Lindera communis,Shiu Ying Hu,13634,19750315,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00698698.jpg,,,,,,,,,, +香叶树,Lindera communis,何国生,1152,19800816,福建省,200,河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00699271.jpg,,,,,,,,,, +山胡椒,Lindera glauca,"Tsang,W.T.",27573,1937/6/6,广西; Kwangsi,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00006981.jpg,,,,,,,,,, +,Lindera glauca,C.M.Wang,3921,19990316,台湾,,Under forest,Shrub,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00611919.jpg,,,,,,,,,, +山胡椒,Lindera glauca,覃海宁等,18326,20041208,陕西省,850,山体下部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802782.jpg,,,,,,,,,, +纤梗山胡椒,Lindera gracilipes,中越考察队,611,19641219,,100~150,山沟边,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0104640.jpg,,,,,,,,,, +纤梗山胡椒,Lindera gracilipes,,3923,1957/4/17,云南,910,,灌木,直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0195993.jpg,,,,,,,,,, +纤梗山胡椒,Lindera gracilipes,华南队,1021,1989-05-,广西壮族自治区,1200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0049975.jpg,,,,,,,,,, +,Lindera kariensis,,,,,,,,,,,,,,,,,,, +团香果,Lindera latifolia,徐洲锋,赵旻骏等,3824,20120617,云南省 ,2033,in forest,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1249481.jpg,,,,,,,,,, +团香果,Lindera latifolia,Forrest,9680,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00007566.jpg,,,,,,,,,, +团香果,Lindera latifolia,生态室高原组,14150,19800810,西藏自治区,1900,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00482927.jpg,,,,,,,,,, +,Lindera longipedunculata,,,,,,,,,,,,,,,,,,, +黑壳楠,Lindera megaphylla,禹平华,485,19570829,贵州省,1450,屋内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522278.jpg,,,,,,,,,, +黑壳楠,Lindera megaphylla,,880,19830918,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00837000.jpg,,,,,,,,,, +黑壳楠,Lindera megaphylla,陇西山考察队,3058,19921015,福建省,950,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00483038.jpg,,,,,,,,,, +广东山胡椒,Lindera meisneri,陈念劬,44044,19321008,海南,,林中,乔木,有花有果,https://image.cvh.ac.cn/files/l/SN/SN009705.jpg,,,,,,,,,, +,Lindera melastomacea,,,,,,,,,,,,,,,,,,, +,Lindera motuoensis,,,,,,,,,,,,,,,,,,, +绒毛山胡椒,Lindera nacusua,荔浦县普查队,450331180823011LY,20180823,广西,270,阔叶林,阳坡,石灰土,多野生,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00415355.jpg,,,,,,,,,, +绒毛山胡椒,Lindera nacusua,张代贵、王业清、朱晓琴,2292,20170818,湖北宜昌,1132,针阔混交林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/HHE11866.jpg,,,,,,,,,, +绒毛山胡椒,Lindera nacusua,植被祖,669,19810817,湖北省,1300,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0111938.jpg,,,,,,,,,, +绿叶甘,Lindera neesiana,龙茹,90238,20090517,湖北省,1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02003756.jpg,,,,,,,,,, +绿叶甘,Lindera neesiana,PE西藏队,PE6229,20170910,西藏自治区,2488~2994,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309692.jpg,,,,,,,,,, +绿叶甘橿,Lindera neesiana,刀志灵,DZL331,20080913,云南,1600,次生林缘,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230738.jpg,,,,,,,,,, +三桠乌药,Lindera obtusiloba,安庆恺,228,19720700,江苏,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2001788.jpg,,,,,,,,,, +三桠乌药,Lindera obtusiloba,朱长山、李世晋、侯学良、朱世新、李家美,13080876,20130808,河南,,山谷,灌木,无花有果,https://image.cvh.ac.cn/files/l/AU/AU067094.jpg,,,,,,,,,, +三桠乌药,Lindera obtusiloba,K.K.TSOONGG,,19300727,杭州,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0000882.jpg,,,,,,,,,, +滇藏钓樟,Lindera obtusiloba var. heterophylla,汤庚国,13,,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2001754.jpg,,,,,,,,,, +滇藏钓樟(变种),Lindera obtusiloba var. heterophylla,李洪钧,6721,19580928,湖北省,1325,山坡,路旁,灌木丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00267039.jpg,,,,,,,,,, +滇藏钓樟,Lindera obtusiloba var. heterophylla,魏志平,罗生辉,498,1959/10/19,陕西,1400,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0097392.jpg,,,,,,,,,, +西藏钓樟,Lindera pulcherrima,,30351,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00295892.jpg,,,,,,,,,, +西藏钓樟,Lindera pulcherrima,牛春山,2944,19620707,陕西省,,山地密林罕见散生,,有花有果,https://image.cvh.ac.cn/files/l/PE/00295943.jpg,,,,,,,,,, +西藏钓樟,Lindera pulcherrima,"熊济华,周子林",90197,19570408,重庆市,1300,屋侧,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522112.jpg,,,,,,,,,, +川钓樟,Lindera pulcherrima var. hemsleyana,李阴昆,836,1956/11/12,广西,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0182497.jpg,,,,,,,,,, +川钓樟,Lindera pulcherrima var. hemsleyana,邓良,5040,1957/5/10,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0191639.jpg,,,,,,,,,, +川钓樟,Lindera pulcherrima var. hemsleyana,巴山采集队,5422,20110704,四川省,1200,近山顶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872837.jpg,,,,,,,,,, +,Lindera sanjappae,,,,,,,,,,,,,,,,,,, +三股筋香,Lindera thomsonii,俞德俊,495,19320000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00699178.jpg,,,,,,,,,, +三股筋香,Lindera thomsonii,符潮,F1042,20160600,江西,473,,,无花无果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0005332.jpg,,,,,,,,,, +三股筋香,Lindera thomsonii,陈邦余,李泽贤,459,1980/12/10,广东省,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0427760.jpg,,,,,,,,,, +,Lindera tienchuanensis,,,,,,,,,,,,,,,,,,, +,Lindera varmae,,,,,,,,,,,,,,,,,,, +,Lindera villipes,,,,,,,,,,,,,,,,,,, +剑叶鳞始蕨,Lindsaea ensifolia,严岳鸿,邢福武,2793,20040711,澳门,50,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00000294.jpg,,,,,,,,,, +,Lindsaea ensifolia,"张寿洲,李良千等",3322,20050715,广东省,100~50,山坡上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01922954.jpg,,,,,,,,,, +,Lindsaea ensifolia,税玉民等,80258,20071124,云南省,600,常绿阔叶林,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01781999.jpg,,,,,,,,,, +扁茎羊耳蒜,Liparis assamica,Jin Xiaohua et Lai Yangjun,11007,20110607,云南省,2200,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033499.jpg,,,,,,,,,, +扁茎羊耳蒜,Liparis assamica,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14421,20161113,西藏,1605,林下阴湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1454365.jpg,,,,,,,,,, +圆唇羊耳蒜,Liparis balansae,K.M.Feng,11822,1947/9/17,云南,1500,,herb,无花无果,https://image.cvh.ac.cn/files/l/WUK/0196114.jpg,,,,,,,,,, +圆唇羊耳蒜,Liparis balansae,"李渤生,程树志",3207,19821120,西藏自治区,1500,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01446070.jpg,,,,,,,,,, +圆唇羊耳蒜,Liparis balansae,南丹普查队,451221170810043LY,20170810,广西,901.9,阔叶林,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0200823.jpg,,,,,,,,,, +须唇羊耳蒜,Liparis barbata,"吉占和,肖丽萍",99624,19990614,海南省,500,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01594263.jpg,,,,,,,,,, +须唇羊耳蒜,Liparis barbata,侯宽昭,71070,19330720,海南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0636340.jpg,,,,,,,,,, +折唇羊耳蒜,Liparis bistriata,金效华,8168,20060421,云南省,1100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033650.jpg,,,,,,,,,, +折唇羊耳蒜,Liparis bistriata,South Tibet Exp. Team (STET),SETE2285,20100807,西藏自治区,,840,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914897.jpg,,,,,,,,,, +镰翅羊耳蒜,Liparis bootanensis,华南生物多样性调查队 金效华,5026,20030924,海南省,1000,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033225.jpg,,,,,,,,,, +镰翅羊耳蒜,Liparis bootanensis,"刘成, 亚吉东",18CS17148,20181201,西藏,1423,常绿阔叶林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487280.jpg,,,,,,,,,, +镰翅羊耳蒜,Liparis bootanensis,赵万义、叶矾、张信坚,LXP-13-25364,20171218,湖南,561,山坡、腐殖土、疏林、石上,陆生、草本、外倾,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00201150.jpg,,,,,,,,,, +齿唇羊耳蒜,Liparis campylostalix,"朱鑫鑫, 石琳琳, 段帅帅, 胡梦杰, 吕擎",ZXX18645,20181012,湖北,689,亚热带针阔混交林,沟谷中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1449500.jpg,,,,,,,,,, +羊耳蒜,Liparis campylostalix,余奇;孙奇,CIBYQ115B003,20200801,四川,2186,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1563852.jpg,,,,,,,,,, +羊耳蒜,Liparis campylostalix,何毅 郝加琛,GSL2015051187,20150604,陕西省,1450,林下,,,https://image.cvh.ac.cn/files/l/BNU/0020771.jpg,,,,,,,,,, +二褶羊耳蒜,Liparis cathcartii,周辉、周大松,15041013,20150410,湖南省,760,阴湿石壁上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI040242.jpg,,,,,,,,,, +二褶羊耳蒜,Liparis cathcartii,Luo Yi-bo,141(9712),19970701,云南省,2900,on the rock covered by moss besides the highway,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033224.jpg,,,,,,,,,, +二褶羊耳蒜,Liparis cathcartii,吴印禅,21273,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00341789.jpg,,,,,,,,,, +平卧羊耳蒜,Liparis chapaensis,金效华,204,20000617,贵州,1120,石灰岩山,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820734.jpg,,,,,,,,,, +平卧羊耳蒜,Liparis chapaensis,,,,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989291.jpg,,,,,,,,,, +平卧羊耳蒜,Liparis chapaensis,黄宝优、谢月英、姚积军,451031140413034LY,20140413,广西,1361,灌丛,林下,石灰土,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0191758.jpg,,,,,,,,,, +,Liparis cheniana,,,,,,,,,,,,,,,,,,, +心叶羊耳蒜,Liparis cordifolia,Southeast Tibet Exp. Team,SET-ET 1122,20090902,西藏自治区,1543,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01914958.jpg,,,,,,,,,, +心叶羊耳蒜,Liparis cordifolia,金效华,264,20000800,贵州省,1200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866760.jpg,,,,,,,,,, +心叶羊耳蒜,Liparis cordifolia,Xiaohua Jin,9052,20070704,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032863.jpg,,,,,,,,,, +小巧羊耳蒜,Liparis delicatula,Jin Xiaohua,10456,20100906,西藏自治区,1100,evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033111.jpg,,,,,,,,,, +小巧羊耳蒜,Liparis delicatula,北京所横断山队,s.n.,19810529,云南省,2650~2900,树上 附生,,有花有果,https://image.cvh.ac.cn/files/l/PE/01147246.jpg,,,,,,,,,, +小巧羊耳蒜,Liparis delicatula,壶瓶山考察队,1138,19870708,湖南省,700~800,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01340673.jpg,,,,,,,,,, +大花羊耳蒜,Liparis distans,高云东、郑臣臣、李婧超,TXD-B-0088,20181112,四川,400,路边,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0248674.jpg,,,,,,,,,, +大花羊耳蒜,Liparis distans,G.Forrest,27728,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0636544.jpg,,,,,,,,,, +大花羊耳蒜,Liparis distans,刘正宇、林茂祥等,S-0547,20160310,重庆,1094,沟边,草本,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051507.jpg,,,,,,,,,, +扁球羊耳蒜,Liparis elliptica,童毅、童毅华、王炳谋,13052814,20130528,广东,,,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1516186.jpg,,,,,,,,,, +扁球羊耳蒜,Liparis elliptica,HK kadoorie PT,725,20010500,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01989279.jpg,,,,,,,,,, +扁球羊耳蒜,Liparis elliptica,金效华,李剑武,王喜龙,王程旺,19169,20171112,西藏,1689,半常绿阔叶林,附生植物,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030518.jpg,,,,,,,,,, +,Liparis gamblei,,,,,,,,,,,,,,,,,,, +,Liparis gigantea,高锡朋,51255,19310331,广东省,,河边石壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00027182.jpg,,,,,,,,,, +,Liparis gigantea,Tsang Wai Tai Wong Kam Chow,2653,1926-10-,广东; KWANGTUNG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028974.jpg,,,,,,,,,, +方唇羊耳蒜,Liparis glossula,Jin Xiaohua,10395,20100626,云南省,2186,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033117.jpg,,,,,,,,,, +方唇羊耳蒜,Liparis glossula,PE-西藏队,660,20100809,西藏自治区,2792~3225,山坡,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01866919.jpg,,,,,,,,,, +黄花羊耳蒜,Liparis luteola,Eryl Smith,20,1928/1/1,海南; HAINAN,3000,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028978.jpg,,,,,,,,,, +黄花羊耳蒜,Liparis luteola,Xiaohua Jin,9311,20080317,海南省,586,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033428.jpg,,,,,,,,,, +黄花羊耳蒜,Liparis luteola,黄全,820042,19820413,海南省 ,0,,附生草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0636580.jpg,,,,,,,,,, +三裂羊耳蒜,Liparis mannii,"D.K.Harder,N.T.Hiep,L.V.Averyanov etc.",4816,20000000,,514,among limestone rocks to ridge of exposed limestone under light canopy N&S slopes,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033398.jpg,,,,,,,,,, +三裂羊耳蒜,Liparis mannii,236-6队,3457,19771103,云南省,600,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00851052.jpg,,,,,,,,,, +三裂羊耳蒜,Liparis mannii,Xiaohua Jin,9344,20080418,广西壮族自治区,1100,forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033405.jpg,,,,,,,,,, +见血青,Liparis nervosa,四川植物,263,1956/6/9,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0254654.jpg,,,,,,,,,, +见血青,Liparis nervosa,To Ts'ang,,1924/6/6,广东; Kwangtung,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00096843.jpg,,,,,,,,,, +见血青,Liparis nervosa,岳俊三等,2932,1963/8/4,江西,350,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0220414.jpg,,,,,,,,,, +紫花羊耳蒜,Liparis nigra,黄雪彦、彭玉德、谭小明、胡雪阳,451028130911002LY,20130910,广西,964,阔叶林,林下,黄棕壤,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0144036.jpg,,,,,,,,,, +紫花羊耳蒜,Liparis nigra,金效华,107A,20000517,贵州省,1300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866757.jpg,,,,,,,,,, +紫花羊耳蒜,Liparis nigra,高瑞卿,188,19971107,台湾省,1475,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01855136.jpg,,,,,,,,,, +香花羊耳蒜,Liparis odorata,陇西山考察队,2437,19910920,福建省,,山谷 林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01549887.jpg,,,,,,,,,, +香花羊耳蒜,Liparis odorata,A. Henry Faber No. 952 A. He,896,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00029027.jpg,,,,,,,,,, +香花羊耳蒜,Liparis odorata,青藏队,6949,19750717,西藏自治区,3100,山坡新木林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850888.jpg,,,,,,,,,, +长唇兰耳蒜,Liparis pauliana,Luo Yi-bo,539,20010513,贵州省,1250,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01681766.jpg,,,,,,,,,, +长唇羊耳蒜,Liparis pauliana,刘昂、龚佑科,LK0769,20200527,湖南,1380~1420,石灰岩山地,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI075743.jpg,,,,,,,,,, +长唇兰耳蒜,Liparis pauliana,Nie Min Xiang,92137,19920524,江西省,800,林下阴湿岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791132.jpg,,,,,,,,,, +,Liparis perpusilla,Xiaohua Jin,16108,20150719,云南省,2600~3000,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241308.jpg,,,,,,,,,, +柄叶羊耳蒜,Liparis petiolata,岳俊三等,3747,19630824,江西省,1140,阴性山谷林下石壁上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00522157.jpg,,,,,,,,,, +柄叶羊耳蒜,Liparis petiolata,宋健,522422160913002 LY,20160913,贵州省,1770.6,旱生、阳性、中温、野生植物、阔叶林,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0035534.jpg,,,,,,,,,, +柄叶羊耳蒜,Liparis petiolata,S.K.Lau,24545,19350924,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00522159.jpg,,,,,,,,,, +,Liparis plantaginea,,,,,,,,,,,,,,,,,,, +小花羊耳蒜,Liparis platyrachis,王启无,63371,193505,云南省,1500,"ravine, rock suface",草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0023649.jpg,,,,,,,,,, +小花羊耳蒜,Liparis platyrachis,C.W.Wang,77940,19360800,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0636700.jpg,,,,,,,,,, +小花羊耳蒜,Liparis platyrachis,李剑武,3256,20130609,云南,750,沟谷林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028401.jpg,,,,,,,,,, +蕊丝羊耳蒜,Liparis resupinata,Jin Xiaohua,14003,20140105,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233163.jpg,,,,,,,,,, +蕊丝羊耳蒜,Liparis resupinata,郭永杰,唐培洵,金永明,张娅婕,13CS7776,20130824,云南,1384,,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1394074.jpg,,,,,,,,,, +蕊丝羊耳蒜,Liparis resupinata,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T195,20160915,西藏自治区,1524,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233079.jpg,,,,,,,,,, +齿突羊耳蒜,Liparis rostrata,青藏队植被组,5292,19750714,西藏自治区,2650,沟边石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850891.jpg,,,,,,,,,, +齿突羊耳蒜,Liparis rostrata,王本忠,HY01,20200513,湖南,996,,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI075732.jpg,,,,,,,,,, +齿突羊耳蒜,Liparis rostrata,朱鑫鑫,王君,王美华,ZXX20229,20200520,安徽,440,山坡林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505178.jpg,,,,,,,,,, +扇唇羊耳蒜,Liparis stricklandiana,"李渤生,程树志",2252,19821219,西藏自治区,1850~2100,常绿阔叶林树上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01446072.jpg,,,,,,,,,, +扇唇羊耳蒜,Liparis stricklandiana,黄全,820141,19820415,海南省 ,0,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0636768.jpg,,,,,,,,,, +扇唇羊耳蒜,Liparis stricklandiana,陈少卿,14134,1958/5/30,广西,400,,草本直立,无花有果,https://image.cvh.ac.cn/files/l/WUK/0213323.jpg,,,,,,,,,, +长茎羊耳蒜,Liparis viridiflora,中植联广西队,4613,20081024,广西壮族自治区,866~945,石灰岩山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033494.jpg,,,,,,,,,, +长茎羊耳蒜,Liparis viridiflora,"杨雅玲,张玉良",537,19730730,辽宁省,,桦木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00522936.jpg,,,,,,,,,, +长茎羊耳蒜,Liparis viridiflora,T.Tang,1130,19290000,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00729835.jpg,,,,,,,,,, +华湖瓜草,Lipocarpha chinensis,陈文,84335,19390000,广西壮族自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0694656.jpg,,,,,,,,,, +华湖瓜草,Lipocarpha chinensis,孟连县调查队,9385,1973/7/7,云南; Yunnan,890,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00002092.jpg,,,,,,,,,, +华湖瓜草,Lipocarpha chinensis,T.P.Wang,8937,1938/8/23,四川,1100,,grass,无花无果,https://image.cvh.ac.cn/files/l/WUK/0079489.jpg,,,,,,,,,, +甘肃山麦冬,Liriope kansuensis,植物所三峡考察队,172,20070915,重庆市,1310~1810,山坡林沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01823152.jpg,,,,,,,,,, +甘肃山麦冬,Liriope kansuensis,彭玉兰、余奇、李林霖,THP-KD-0966,20170610,四川,2861,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255540.jpg,,,,,,,,,, +甘肃山麦冬,Liriope kansuensis,李馨,77599,19580605,四川省,2200,阳山草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01945352.jpg,,,,,,,,,, +,Lithocarpus arcaula,,,,,,,,,,,,,,,,,,, +,Lithocarpus obscurus,,,,,,,,,,,,,,,,,,, +,Lithocarpus pseudoxizangensis,,,,,,,,,,,,,,,,,,, +,Lithocarpus xizangensis,,,,,,,,,,,,,,,,,,, +西工湖木姜子,Litsea albescens,孙航,周浙昆,俞宏渊,1184,19921111,西藏自治区,1500,under forest,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0106982.jpg,,,,,,,,,, +白叶木姜子,Litsea albescens,"刘成, 亚吉东",18CS17273,20181124,西藏,1648,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487468.jpg,,,,,,,,,, +假辣子,Litsea balansae,昆明工作站,5920,19550915,云南省,1400,山谷潮湿林中 润湿,,无花无果,https://image.cvh.ac.cn/files/l/PE/01522514.jpg,,,,,,,,,, +假辣子,Litsea balansae,梁向日,62439,19330806,海南省 ,0,杂林,密林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0107122.jpg,,,,,,,,,, +假辣子,Litsea balansae,中苏队,3077,19560000,云南省 ,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0107101.jpg,,,,,,,,,, +,Litsea biflora,,,,,,,,,,,,,,,,,,, +,Litsea chengshuzhii,,,,,,,,,,,,,,,,,,, +,Litsea coelestis,,,,,,,,,,,,,,,,,,, +山鸡椒,Litsea cubeba,"张兵,向新",90529008,20090529,湖北省,1572,沟谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01868990.jpg,,,,,,,,,, +山鸡椒,Litsea cubeba,孔冬梅,k0284,20140707,山西省,1373,向阳坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02035129.jpg,,,,,,,,,, +山鸡椒,Litsea cubeba,谭策铭,971619,19971020,福建省,400,山谷林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01605744.jpg,,,,,,,,,, +,Litsea depressa,,,,,,,,,,,,,,,,,,, +黄丹木姜子,Litsea elongata,P.C.Yieh,590,1934/8/8,广西; KWANGSI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00009433.jpg,,,,,,,,,, +黄丹木姜子,Litsea elongata,刘淼等,A100021,20060622,安徽省,1000,生于山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01801188.jpg,,,,,,,,,, +黄丹木姜子,Litsea elongata,赵万义、刘忠成、张忠、谭维政、张记军、叶矾、冯欣欣,LXP-13-09662,20151104,江西省萍乡市,,山谷、路旁、河边,陆生、灌木,,https://image.cvh.ac.cn/files/l/SYS/SYS00182876.jpg,,,,,,,,,, +潺槁木姜子,Litsea glutinosa,黄德富,1569,19811009,贵州省,700,,乔木,无花有果,https://image.cvh.ac.cn/files/l/HGAS/011678.jpg,,,,,,,,,, +潺槁木姜子,Litsea glutinosa,,464,1921/8/8,广东; Kwangtung,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00007741.jpg,,,,,,,,,, +潺槁木姜子,Litsea glutinosa,D.G.Fell,DGF10066,20090418,,,evergreen notophyll vine forest in steep acid volcanic gully slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109025.jpg,,,,,,,,,, +,Litsea gongshanensis,,,,,,,,,,,,,,,,,,, +,Litsea khasyana,王启无,77580,Aug-36,云南省,1000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0058853.jpg,,,,,,,,,, +,Litsea khasyana,C.W.Wang,77929,19360800,云南省 ,1000,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00078714.jpg,,,,,,,,,, +秃净木姜子,Litsea kingii,Y.Tsiang,7338,1930-10-,贵州; Kweichow,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00008466.jpg,,,,,,,,,, +秃净木姜子,Litsea kingii,谭策铭,93340,19930806,江西省,850~900,山坡,阔叶林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0109612.jpg,,,,,,,,,, +秃净木姜子,Litsea kingii,,949,19840624,湖南省,1450,山腰,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0109609.jpg,,,,,,,,,, +,Litsea kurzii,N.Bhargawa,6427,1977-11-,,30~4,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0058721.jpg,,,,,,,,,, +,Litsea laeta,,,,,,,,,,,,,,,,,,, +剑叶木姜子,Litsea lancifolia,中越队,2335,1965-02-,宁平省,360,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0058737.jpg,,,,,,,,,, +剑叶木姜子,Litsea lancifolia,侯宽昭,73261,19350710,海南,about 120,in forest,shrub,有花无果,https://image.cvh.ac.cn/files/l/SN/SN009501.jpg,,,,,,,,,, +剑叶木姜子,Litsea lancifolia,侯宽昭,73261,1935-07-,海南省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0058733.jpg,,,,,,,,,, +,Litsea liboshengii,,,,,,,,,,,,,,,,,,, +长蕊木姜子,Litsea longistaminata,汤庚国,袁发银,92422,19920520,贵州,,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2000225.jpg,,,,,,,,,, +长蕊木姜子,Litsea longistaminata,李永亮等4人,YDDXS0341,20100711,云南,1650,针阔混交林杂木林间,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230812.jpg,,,,,,,,,, +长蕊木姜子,Litsea longistaminata,蒋英,12909,,云南省 ,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0109782.jpg,,,,,,,,,, +,Litsea membranifolia,,,,,,,,,,,,,,,,,,, +,Litsea mishmiensis,,,,,,,,,,,,,,,,,,, +毛叶木姜子,Litsea mollis,张挺,郭永杰,刘成等,10CS2099,20100727,云南,2679,"Primary broadleaf forest, roadside edge.",,花标本,https://image.cvh.ac.cn/files/l/KUN/1230819.jpg,,,,,,,,,, +毛叶木姜子,Litsea mollis,Henry,11754,,湖北; Hupeh,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00007595.jpg,,,,,,,,,, +毛叶木姜子,Litsea mollis,谭策铭,蔡如意,奚亚,郭永俊,张瑞香,1905896,20190509,福建,380,山坡林中,落叶灌至小乔木,无花有果,https://image.cvh.ac.cn/files/l/JJF/JJF00042026.jpg,,,,,,,,,, +假柿木姜子,Litsea monopetala,"Tsang,W.T",27537,1937/1/1,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00008427.jpg,,,,,,,,,, +假柿木姜子,Litsea monopetala,贺贤育,6120,,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00194607.jpg,,,,,,,,,, +假柿木姜子,Litsea monopetala,吴大诚,840050,19840907,江西省,500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01358590.jpg,,,,,,,,,, +宝兴木姜子,Litsea moupinensis,姜在民 杜诚 刘培亮等,397,2008/7/28,陕西省,1624,生石隙中,,无花有果,https://image.cvh.ac.cn/files/l/WUK/520535.jpg,,,,,,,,,, +宝兴木姜子,Litsea moupinensis,宝普队,78-0016,19780512,四川,,灌木丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM705401152.jpg,,,,,,,,,, +宝兴木姜子,Litsea moupinensis,青藏队,9875,19820903,云南省,1900~2100,山坡 常绿落叶 阔叶林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522498.jpg,,,,,,,,,, +,Litsea nitida,,,,,,,,,,,,,,,,,,, +杨叶木姜子,Litsea populifolia,"董洪进,王泽欢,尹志坚",WM-0294,20160503,云南省,1500,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090712.jpg,,,,,,,,,, +杨叶木姜子,Litsea populifolia,扎西次仁,西落,ZhongY692,20090917,西藏,2551,河谷针阔混交林,,花标本,https://image.cvh.ac.cn/files/l/KUN/1230835.jpg,,,,,,,,,, +杨叶木姜子,Litsea populifolia,蔡杰,刘成,秦少发,杨娅娟,08CS338,20080822,云南,1877,山地湿性常绿阔叶林林下,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1230831.jpg,,,,,,,,,, +木姜子,Litsea pungens,,s.n.,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01520246.jpg,,,,,,,,,, +木姜子,Litsea pungens,白水江采集队,4492,20070509,甘肃省,1250,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01858567.jpg,,,,,,,,,, +木姜子,Litsea pungens,许溯桂,4663,19590400,云南省,2830,山坡苔藓林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522504.jpg,,,,,,,,,, +,Litsea rangoonensis,,,,,,,,,,,,,,,,,,, +,Litsea robusta,,,,,,,,,,,,,,,,,,, +红叶木姜子,Litsea rubescens,荔波队,81-4-0012,19810709,贵州省,650,山坡 疏密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01605783.jpg,,,,,,,,,, +红叶木姜子,Litsea rubescens,杨汝荣,84443,19841018,广西壮族自治区,,观音竹林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01314229.jpg,,,,,,,,,, +,Litsea rubescens,易思荣,21560,19960620,重庆,,林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00601863.jpg,,,,,,,,,, +滇木姜子,Litsea rubescens var. yunnanensis,南川队,95670,19620524,四川,1700,山坡路边灌木林边缘,小乔木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM705401091.jpg,,,,,,,,,, +滇木姜子,Litsea rubescens var. yunnanensis,李永亮等,YDDXS0771,201109,云南,2342,南绿阔叶林间,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1230842.jpg,,,,,,,,,, +,Litsea rubescens var. yunnanensis,J. M. Delavay,4020,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00041740.jpg,,,,,,,,,, +黑木姜子,Litsea salicifolia,,247,,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0060077.jpg,,,,,,,,,, +,Litsea salicifolia,红水河考察队,1358,19890518,广西壮族自治区,850,沟谷,常绿,阔叶林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0171405.jpg,,,,,,,,,, +,Litsea salicifolia,,19558,19810402,云南省,700,沟边,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0171404.jpg,,,,,,,,,, +绢毛木姜子,Litsea sericea,龙茹等,90807010,20090807,湖北省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02003736.jpg,,,,,,,,,, +绢毛木姜子,Litsea sericea,张志英,1956,1959/5/13,甘肃,2400,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0143987.jpg,,,,,,,,,, +绢毛木姜子,Litsea sericea,吉首大学生物资源与环境科学学院,GWJ20170610_0234,20170610,湖南,402,山坡路旁,落叶灌木或小乔木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU39578.jpg,,,,,,,,,, +,Litsea taronensis,,,,,,,,,,,,,,,,,,, +,Litsea tibetana,,,,,,,,,,,,,,,,,,, +沧源木姜子,Litsea vang var. lobata,李延辉,11667,19740526,云南省,0~800,沟谷、密林、湿润,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0735064.jpg,,,,,,,,,, +沧源木姜子,Litsea vang var. lobata,孙航,周浙昆,俞宏渊,1813,19921129,西藏自治区,1200,in forest,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0171611.jpg,,,,,,,,,, +钝叶木姜子,Litsea veitchiana,张代贵、王业清、朱晓琴,2667,20170821,湖北宜昌,2219,路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/HHE09151.jpg,,,,,,,,,, +钝叶木姜子,Litsea veitchiana,神农架队,31611,19760818,湖北省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00483709.jpg,,,,,,,,,, +钝叶木姜子,Litsea veitchiana,韩维维,20213,19870402,福建,660,山谷,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2000115.jpg,,,,,,,,,, +寡穗茅,Littledalea przevalskyi,山诺会,,19980801,青海,4700,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00003617.jpg,,,,,,,,,, +,Littledalea przevalskyi,郭柯,k-41,19900619,青海省,4860,高寒草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048999.jpg,,,,,,,,,, +,Littledalea przevalskyi,李渤生等,13142,19900817,,4500~4600,高山Kobresia草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01897488.jpg,,,,,,,,,, +扇穗茅,Littledalea racemosa,,521,19640719,青海省,4300,那龙多山岩石露头边缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082860.jpg,,,,,,,,,, +,Littledalea racemosa,,,,,,,,,,,,,,,,,,, +,Lloydia ixiolirioides,,,,,,,,,,,,,,,,,,, +,Lloydia nana,刀志灵,4239,20090716,西藏自治区,4000,"alpine meadow, growing on the slope",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220102.jpg,,,,,,,,,, +,Lloydia oxycarpa,,,,,,,,,,,,,,,,,,, +西藏洼瓣花,Lloydia tibetica,蔡杰,刘成,郭永杰,13CS6980,20130604,西藏,3570,黄背栎林下溪边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1391980.jpg,,,,,,,,,, +西藏洼瓣花,Lloydia tibetica,孙麟符,1111,19470609,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00330641.jpg,,,,,,,,,, +西藏洼瓣花,Lloydia tibetica,K.L.Chu,7405,19400715,,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00550200.jpg,,,,,,,,,, +墨脱网藤蕨,Lomagramma medogensis,陈伟烈,14435,19800820,西藏自治区,900,附生,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00044798.jpg,,,,,,,,,, +,Lomagramma sorbifolia,,677,1219,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01771030.jpg,,,,,,,,,, +云南网藤蕨,Lomagramma yunnanensis,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4459,20160913,西藏,763,树干上,藤本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136630.jpg,,,,,,,,,, +云南网藤蕨,Lomagramma yunnanensis,中苏云南联合考察团,1718,19560000,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01175730.jpg,,,,,,,,,, +云南网藤蕨,Lomagramma yunnanensis,韦宏金、杨平,JSL6721,20190123,广西,~560,攀援;少见,草本,无孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431742.jpg,,,,,,,,,, +,Lomatogoniopsis alpina,,,,,,,,,,,,,,,,,,, +,Lomatogoniopsis galeiformis,,,,,,,,,,,,,,,,,,, +,Lomatogoniopsis ovatifolia,,,,,,,,,,,,,,,,,,, +,Lomatogonium lijiangense,,,,,,,,,,,,,,,,,,, +,Lomatogonium longifolium,,,,,,,,,,,,,,,,,,, +,Lomatogonium macranthum,,,,,,,,,,,,,,,,,,, +,Lomatogonium oreocharis,,,,,,,,,,,,,,,,,,, +,Lomatogonium perenne,,,,,,,,,,,,,,,,,,, +,Lonicera litangensis,,,,,,,,,,,,,,,,,,, +,Lonicera oreodoxa,,,,,,,,,,,,,,,,,,, +,Lonicera sublabiata,,,,,,,,,,,,,,,,,,, +,Lonicera trichosantha,,,,,,,,,,,,,,,,,,, +,Lonicera tubuliflora,,,,,,,,,,,,,,,,,,, +,Lophanthus tibeticus,,,,,,,,,,,,,,,,,,, +中华剑蕨,Loxogramme chinensis,刘正宇,18244,19920921,重庆市,780,溪边岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00000822.jpg,,,,,,,,,, +,Loxogramme chinensis,易思荣,901336,19991124,重庆,,,,有孢子囊,https://image.cvh.ac.cn/files/l/NAS/NAS00610843.jpg,,,,,,,,,, +中华剑蕨,Loxogramme chinensis,严岳鸿、商辉、刘子玥,SG1667,20161128,湖南,1408,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136284.jpg,,,,,,,,,, +西藏剑蕨,Loxogramme cuspidata,王作宾,19152,1964/5/3,甘肃,1600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0227675.jpg,,,,,,,,,, +西藏剑蕨,Loxogramme cuspidata,徐养鹏,850,1961/10/16,陕西,1350,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0483938.jpg,,,,,,,,,, +西藏剑蕨,Loxogramme cuspidata,鞠文彬,陈德奎,AZH00733,20151105,四川,1604,溪边石壁,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0236124.jpg,,,,,,,,,, +禾柄剑蕨,Loxogramme duclouxii,"朱仲龙,周喜乐",1960,20080110,湖南省,1500,石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01784685.jpg,,,,,,,,,, +褐柄剑蕨,Loxogramme duclouxii,严岳鸿,20131024-03,20131024,湖南,,阔叶林下,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0042273.jpg,,,,,,,,,, +禾柄剑蕨,Loxogramme duclouxii,U.Faurie,8082,19150000,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01728587.jpg,,,,,,,,,, +匙叶剑蕨,Loxogramme grammitoides,"X.H.Jin,Y.S.Chen,",DLJ-ET 2129,20080706,云南省,2200,evergreen broad,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01870962.jpg,,,,,,,,,, +匙叶剑蕨,Loxogramme grammitoides,采集队,805,19860806,湖南省,1000,阴湿地岩石上,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01767292.jpg,,,,,,,,,, +匙叶剑蕨,Loxogramme grammitoides,金摄郎、魏宏宇、张娇,JSL6004,20170905,浙江,826,沟谷边疏林下有苔藓岩石上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0153051.jpg,,,,,,,,,, +内卷剑蕨,Loxogramme involuta,,s.n.,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01728597.jpg,,,,,,,,,, +内卷剑蕨,Loxogramme involuta,成晓,魏奇,公艳芬,FB599,20130829,云南,1750,附生树干上,,,https://image.cvh.ac.cn/files/l/KUN/1406311.jpg,,,,,,,,,, +内卷剑蕨,Loxogramme involuta,Mr.W.Hancock,111,18930500,云南省 ,,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1220941.jpg,,,,,,,,,, +老街剑蕨,Loxogramme lankokiensis,South Tibet Exp. Team (STET),STET2057,20100803,西藏自治区,700,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01964539.jpg,,,,,,,,,, +老街剑蕨,Loxogramme lankokiensis,"李中阳,卫然,张红瑞",7457,20150823,贵州省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02051365.jpg,,,,,,,,,, +老街剑蕨,Loxogramme lankokiensis,商辉、黄科瑞,SG0973,20150919,广西省,,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0096969.jpg,,,,,,,,,, +拟内卷剑蕨,Loxogramme porcata,"李渤生,程树志等",4209,19830420,西藏自治区,1290,林下石上树上时见,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01185209.jpg,,,,,,,,,, +拟内卷剑蕨,Loxogramme porcata,C.W.Wang,79004,19360900,云南省,1500,thickets,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01185201.jpg,,,,,,,,,, +拟内卷剑蕨,Loxogramme porcata,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07385,20160915,西藏,1065,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135839.jpg,,,,,,,,,, +,Loxostigma mekongense,,,,,,,,,,,,,,,,,,, +,Luisia brachystachys,金效华,8137,20060709,云南省,1108,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825290.jpg,,,,,,,,,, +小花钗子股,Luisia brachystachys,"蔡杰, 刘成, 李昌洪",17CS15114,20170503,云南,556,江边杂木林,附生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445841.jpg,,,,,,,,,, +,Luisia filiformis,王启无,76933,1935-36,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00522507.jpg,,,,,,,,,, +长瓣钗子股,Luisia filiformis,朱华,Ch 730,,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00026616.jpg,,,,,,,,,, +,Luisia inconspicua,,,,,,,,,,,,,,,,,,, +钗子股,Luisia morsei,"Lei,C.I.",606,19330430,广东省,,"dry level land,sandy soil,thicket ,roadside",,无花无果,https://image.cvh.ac.cn/files/l/PE/00522531.jpg,,,,,,,,,, +钗子股,Luisia morsei,中植联广西队,3715,20081012,广西壮族自治区,240~500,山坡林下及林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033317.jpg,,,,,,,,,, +钗子股,Luisia morsei,龙州医药所调查队,526,19790709,,,,,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI048509.jpg,,,,,,,,,, +,Luisia psyche,,,,,,,,,,,,,,,,,,, +大树葱,Luisia teretifolia,G.V.Subba Rao,30029,,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0636940.jpg,,,,,,,,,, +,Luisia trichorrhiza,,,,,,,,,,,,,,,,,,, +,Luisia zeylanica,Eric A.Christenson et al.,970,19840517,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01720314.jpg,,,,,,,,,, +,Luzula bomiensis,,,,,,,,,,,,,,,,,,, +地杨梅,Luzula campestris,"董洪进,王泽欢,尹志坚",WM-0167,20160427,云南省,1600,路边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088634.jpg,,,,,,,,,, +地杨梅,Luzula campestris,傅坤俊,8508,1956/8/8,陕西,3750,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0092128.jpg,,,,,,,,,, +地杨梅,Luzula campestris,Oliven,424,,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00543948.jpg,,,,,,,,,, +散序地杨梅,Luzula effusa,李巨平,Lijuping0166,20080627,湖北,2150,落叶阔叶林带林下及林缘草丛中,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397082.jpg,,,,,,,,,, +散序地杨梅,Luzula effusa,税玉民,2967,19930723,云南省,2780,山坡密林下草地上,,无花有果,https://image.cvh.ac.cn/files/l/PE/02237320.jpg,,,,,,,,,, +散序地杨梅,Luzula effusa,李渤生 仉志诚 程树志,5653,19830720,西藏自治区,4100,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237335.jpg,,,,,,,,,, +,Luzula jilongensis,,,,,,,,,,,,,,,,,,, +多花地杨梅,Luzula multiflora,"Drescher,A.",5173,19950704,,1860,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237008.jpg,,,,,,,,,, +多花地杨梅,Luzula multiflora,关广清、高东昌,1565,19820603,辽宁省丹东市,,林下,,有花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF007053.jpg,,,,,,,,,, +多花地杨梅,Luzula multiflora,G.Forrest,12311,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0641724.jpg,,,,,,,,,, +华北地杨梅,Luzula oligantha,"曹子余,程树志,韩家懋",273,20010716,吉林省,1300,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01596884.jpg,,,,,,,,,, +华北地杨梅,Luzula oligantha,S.Saito,5653,19260826,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849510.jpg,,,,,,,,,, +华北地杨梅,Luzula oligantha,黄土高原采集队,2864,19840618,河南省,950,水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237337.jpg,,,,,,,,,, +羽毛地杨梅,Luzula plumosa,Nie Min Liang,92080,19920502,江西省,900,林下阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237339.jpg,,,,,,,,,, +羽毛地杨梅,Luzula plumosa,陈添财,s.n.,20020420,台湾省,2000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01713291.jpg,,,,,,,,,, +羽毛地杨梅,Luzula plumosa,邓懋彬 姚淦,81528,19830428,安徽省,900,山坡林下潮湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00543971.jpg,,,,,,,,,, +,Luzula sichuanensis,,,,,,,,,,,,,,,,,,, +穗花地杨梅,Luzula spicata,,2652,0,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0098387.jpg,,,,,,,,,, +穗花地杨梅,Luzula spicata,秦仁昌,1067,19560804,新疆维吾尔自治区,2640,山地潮湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230010.jpg,,,,,,,,,, +穗花地杨梅,Luzula spicata,K.M.Liou,6742,19360823,青海省,3000,lieux herbeux des hautes montagnes,,有花有果,https://image.cvh.ac.cn/files/l/PE/01593237.jpg,,,,,,,,,, +,Luzula sudetica,"Laaksonen,Kyosti",229,19580709,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921321.jpg,,,,,,,,,, +,Luzula sudetica,青藏队补点组,751143,19750802,西藏自治区,3700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01622081.jpg,,,,,,,,,, +大序地杨梅,Luzula sudetica,陈家辉,韩希,王东超,王广艳,杨大松,李资磊,张春林,陶云芬,YangYP-Q-4039,20110830,西藏,3898,林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1397108.jpg,,,,,,,,,, +单果红丝线,Lycianthes solitaria,会东队,769,19781006,四川,1700,,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM717400592.jpg,,,,,,,,,, +单果红丝线,Lycianthes solitaria,青藏队,73-672,19730714,西藏自治区,1700,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/484269.jpg,,,,,,,,,, +单果红丝线,Lycianthes solitaria,环江县普查队,451226130430017LY,20130430,广西,643,阔叶林,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0113472.jpg,,,,,,,,,, +石松,Lycopodium japonicum,詹选怀、彭焱松等,LXP2887,20141103,江西,415,山坡、疏林,藤本,无花无果,https://image.cvh.ac.cn/files/l/LBG/LBG00136233.jpg,,,,,,,,,, +,Lycopodium japonicum,陇西山考察队,1486,19910618,福建省,650,山坡 林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01555288.jpg,,,,,,,,,, +石松,Lycopodium japonicum,K.Iwatsuki & S.K.Wu,740,20070812,云南省 ,1370,Terrestrial on mountain slope along road in semi-open place,,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/1226635.jpg,,,,,,,,,, +成层石松,Lycopodium zonatum,朱维明,22414,19880911,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/HGAS/056861.jpg,,,,,,,,,, +,Lycopodium zonatum,"D.E.Boufford,K.Fujikawa,S.L.Kelley,R.H.Ree,B.Xu,D.",38667,20070730,四川,3900~4150,under roododendron in moss,,,https://image.cvh.ac.cn/files/l/KUN/1405650.jpg,,,,,,,,,, +,Lycopodium zonatum,,4519,19580719,重庆市,3300,杜鹃—藓类—冷杉林 林地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00173265.jpg,,,,,,,,,, +海金沙,Lygodium japonicum,"严岳鸿,邢福武",2859,20040714,澳门,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01796216.jpg,,,,,,,,,, +,Lygodium japonicum,张军丽,82,19870603,贵阳市,,,,无花有果,https://image.cvh.ac.cn/files/l/IFP/0180743.jpg,,,,,,,,,, +,Lygodium japonicum,盛宁等,Y078,19961103,江苏,,岗地疏林下,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00603592.jpg,,,,,,,,,, +,Lygodium microphyllum,"严岳鸿,秦新生",4609,20071022,海南省,50,桉树林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01796252.jpg,,,,,,,,,, +,Lygodium microphyllum,Miyoshi Furuse,2050,19730114,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01633470.jpg,,,,,,,,,, +,Lygodium microphyllum,"严岳鸿,邢福武",2809,20040712,澳门,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01796250.jpg,,,,,,,,,, +柳叶海金沙,Lygodium salicifolium,周喜乐、舒江平、肖艳,ZXL06880,20160328,海南,213,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0118773.jpg,,,,,,,,,, +柳叶海金沙,Lygodium salicifolium,百色队,1083,19551211,广西壮族自治区,400,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00144509.jpg,,,,,,,,,, +柳叶海金沙,Lygodium salicifolium,金摄郎,JSL5075,20170205,广西,270,山沟边疏林下,草木,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0141422.jpg,,,,,,,,,, +宝兴过路黄,Lysimachia baoxingensis,郝刚,455,20030709,四川省,3800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0182881.jpg,,,,,,,,,, +中甸珍珠菜,Lysimachia chungdienensis,陈介,453,19581201,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/48405.jpg,,,,,,,,,, +中甸珍珠菜,Lysimachia chungdienensis,青藏队,14890,19830925,四川省,1900,河谷山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/89684.jpg,,,,,,,,,, +,Lysimachia chungdienensis,K. M. Feng,3223,1939/11/5,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00073488.jpg,,,,,,,,,, +短柱珍珠菜,Lysimachia excisa,,6,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01895457.jpg,,,,,,,,,, +短柱珍珠菜,Lysimachia excisa,俞德浚,14853,19371209,四川省,2500,Mt. rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/185017.jpg,,,,,,,,,, +,Lysimachia excisa,,,,,,,,,,,,,,,,,,, +,Lysimachia medogensis,,,,,,,,,,,,,,,,,,, +矮星宿菜,Lysimachia pumila,恭城县普查队,450332150614007LY,20150614,广西壮族自治区,299,阔叶林、路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0174405.jpg,,,,,,,,,, +矮星宿菜,Lysimachia pumila,木里队,146,19780610,四川,3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715701988.jpg,,,,,,,,,, +矮星宿菜,Lysimachia pumila,"南水北调队,姜恕",5139,19640611,四川省,4030,山上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01895519.jpg,,,,,,,,,, +折瓣珍珠菜,Lysimachia reflexiloba,赵清盛、胡刚等,7907,1978-8 6,四川省,1750,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0111130.jpg,,,,,,,,,, +折瓣珍珠菜,Lysimachia reflexiloba,,,19620814,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/074668.jpg,,,,,,,,,, +,Lysimachia reflexiloba,"Handel-Mazzetti, H.",7572,10-Aug-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00024975.jpg,,,,,,,,,, +粉红珍珠菜,Lysimachia roseola,刘照光,4583,1974-6 1,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172340.jpg,,,,,,,,,, +茂汶过路黄,Lysimachia stellarioides,洵阳队,819,19590711,陕西省,700,阴坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01502699.jpg,,,,,,,,,, +茂汶过路黄,Lysimachia stellarioides,宝兴队,78-0502,19780626,四川,,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715701990.jpg,,,,,,,,,, +,Lysimachia stellarioides,"Wilson, Ernest Henry",3802,21-May-08,,,,,,https://image.cvh.ac.cn/files/l/E/E00024960.jpg,,,,,,,,,, +波缘珍珠菜,Lysimachia tsaii,许东先、张芬,212,20160806,云南省,2650,山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0039226.jpg,,,,,,,,,, +,Lysimachia tsaii,H. T. Tsai,56213,1933/10/12,,2800,,,,https://image.cvh.ac.cn/files/l/HUH/A00110540.jpg,,,,,,,,,, +藏珍珠菜,Lysimachia tsarongensis,腾冲普查队,530522150511117LY,20150511,云南省,1907,针阔叶混交林,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0029467.jpg,,,,,,,,,, +,Lysimachia tsarongensis,"Forrest, George",19282,19-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00062016.jpg,,,,,,,,,, +,Lysionotus gamosepalus,,,,,,,,,,,,,,,,,,, +,Lysionotus metuoensis,,,,,,,,,,,,,,,,,,, +,Lysionotus sulphureus,,,,,,,,,,,,,,,,,,, +,Machilus chayuensis,,,,,,,,,,,,,,,,,,, +,Machilus clarkeana,,,,,,,,,,,,,,,,,,, +长梗润楠,Machilus duthiei,"刘恩德,方伟,徐洲锋,上官法智,常学科,席辉辉,李云,廖鸿艳,李成清",4125,20150627,云南省,2189,河边林中,,,https://image.cvh.ac.cn/files/l/KUN/1268850.jpg,,,,,,,,,, +长梗润楠,Machilus duthiei,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,1140,20121021,西藏,,林中,乔木,无花无果,https://image.cvh.ac.cn/files/l/BJM/0230704.jpg,,,,,,,,,, +,Machilus edulis,,,,,,,,,,,,,,,,,,, +,Machilus forrestii,,,,,,,,,,,,,,,,,,, +黄心树,Machilus gamblei,U.Singh,109,1928,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0061771.jpg,,,,,,,,,, +黄心树,Machilus gamblei,R.C.Ching,5616,1928,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0061747.jpg,,,,,,,,,, +黄心树,Machilus gamblei,叶金科,YNS0126,20080419,云南,1300,茶地边,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230847.jpg,,,,,,,,,, +,Machilus gongshanensis,,,,,,,,,,,,,,,,,,, +,Machilus kurzii,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01695191.jpg,,,,,,,,,, +秃枝润楠,Machilus kurzii,George Forrest,26324,,西藏自治区,,E.Tibet,,有花无果,https://image.cvh.ac.cn/files/l/AU/034309.jpg,,,,,,,,,, +秃枝润楠,Machilus kurzii,王加和,XPALSC031,20080820,云南,2410,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1230853.jpg,,,,,,,,,, +,Machilus listeri,,,,,,,,,,,,,,,,,,, +,Machilus montana,,,,,,,,,,,,,,,,,,, +润楠,Machilus nanmu,赵良成;徐申健;王奥;孙阔,BJFUZLC019B23,20181124,重庆,752,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1563530.jpg,,,,,,,,,, +润楠,Machilus nanmu,唐国旺,李紫默,TangGW903,20201226,广东,502,亚热带季风阔叶林山坡,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1555103.jpg,,,,,,,,,, +润楠,Machilus nanmu,实习队,82229,198207,贵州省,,路边,小乔木,无花无果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0023313.jpg,,,,,,,,,, +,Machilus obscurinervis,,,,,,,,,,,,,,,,,,, +,Machilus odoratissimus,Woon Young Chun,650,19200115,海南省,0~600,,,无花有果,https://image.cvh.ac.cn/files/l/N/102062254_1.jpg,,,,,,,,,, +,Machilus odoratissimus,,3.246,193303,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00050316.jpg,,,,,,,,,, +,Machilus ovatiloba,,,,,,,,,,,,,,,,,,, +,Machilus parviflora,,,,,,,,,,,,,,,,,,, +粗壮润楠,Machilus robusta,王家和,罗田发,李丛生,XPALSC388,20090522,云南,2100,原始丛林,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1230868.jpg,,,,,,,,,, +粗壮润楠,Machilus robusta,谭策铭、易发彬,02上犹样083,20021010,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/JJF/00004835.jpg,,,,,,,,,, +粗壮润楠,Machilus robusta,广西弄岗综考队,11631,1979-11-,广西,,,小乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00067543.jpg,,,,,,,,,, +红梗润楠,Machilus rufipes,方鼎,3-1395,19771013,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI049672.jpg,,,,,,,,,, +红梗润楠,Machilus rufipes,张廷,蔡杰,袁明等,09CS1506,20090922,西藏,2720,高山栎,云南松针阔混交林中,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230870.jpg,,,,,,,,,, +红梗润楠,Machilus rufipes,,548,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075197.jpg,,,,,,,,,, +瑞丽润楠,Machilus shweliensis,Forrest,9624,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00067631.jpg,,,,,,,,,, +瑞丽润楠,Machilus shweliensis,海南东队,191,19580811,海南省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00195752.jpg,,,,,,,,,, +瑞丽润楠,Machilus shweliensis,"钟补勤,匡可任",407,19430526,云南省,1600,深峡林地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00618883.jpg,,,,,,,,,, +,Machilus villosa,中苏云南联合考察团,686,19560000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00619167.jpg,,,,,,,,,, +,Machilus villosa,,226,,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0062971.jpg,,,,,,,,,, +,Machilus villosa,王谷无,86743,19400211,云南,1000,,乔木,有花无果,https://image.cvh.ac.cn/files/l/NF/NF2003352.jpg,,,,,,,,,, +绿叶润楠,Machilus viridis,,,,广西壮族自治区,,,乔木,,https://image.cvh.ac.cn/files/l/HITBC/0017565.jpg,,,,,,,,,, +绿叶润楠,Machilus viridis,梅里队,27902,19930928,云南,2930,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008856.jpg,,,,,,,,,, +绿叶润楠,Machilus viridis,钟补求,6236,19531224,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01505924.jpg,,,,,,,,,, +滇润楠,Machilus yunnanensis,梁畴芬、吴德邻,32609,1957-06-,广西壮族自治区,1100,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0063009.jpg,,,,,,,,,, +滇润楠,Machilus yunnanensis,武素功,844,19590514,四川,1850,山坡草地阳处,直立乔木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705401167.jpg,,,,,,,,,, +滇润楠,Machilus yunnanensis,曹基武、彭继庆,2016CY01,20160816,西藏,2047,针阔混交林,乔木,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI067399.jpg,,,,,,,,,, +西藏润楠,Machilus yunnanensis var. tibetana,青藏队,6912,19750716,西藏自治区,2300,河谷杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01505930.jpg,,,,,,,,,, +西藏润楠,Machilus yunnanensis var. tibetana,,Q3,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00619216.jpg,,,,,,,,,, +西藏润楠,Machilus yunnanensis var. tibetana,朱太平等,25,1964-7 9,四川省,1850,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0030703.jpg,,,,,,,,,, +树形针毛蕨,Macrothelypteris ornata,田旗、王正伟、郭光普,TQ00549,20110510,西藏,792,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0071056.jpg,,,,,,,,,, +树形针毛蕨,Macrothelypteris ornata,商辉、罗俊杰,SG1965,20170621,云南,741,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0142047.jpg,,,,,,,,,, +树形针毛蕨,Macrothelypteris ornata,"李中阳,卫然",WR0242,20111213,云南省,450,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871921.jpg,,,,,,,,,, +普通针毛蕨,Macrothelypteris torresiana,金摄郎、顾钰峰、朱晓凤,DRS086,20130719,广西,490,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0046014.jpg,,,,,,,,,, +普通针毛蕨,Macrothelypteris torresiana,严岳鸿、齐新萍,YYH13120,20130904,西藏,1000,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0042426.jpg,,,,,,,,,, +普通针毛蕨,Macrothelypteris torresiana,"张朝芳,王若谷",7281,19820801,浙江省,100,松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01938402.jpg,,,,,,,,,, +凹脉杜茎山,Maesa cavinervis,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003140,20171211,,928,Roadside,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445897.jpg,,,,,,,,,, +凹脉杜茎山,Maesa cavinervis,"蔡杰, 刘恩德, 郭永杰",13CS7692,20130531,西藏,,林缘灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1339490.jpg,,,,,,,,,, +凹脉杜茎山,Maesa cavinervis,"李渤生,程树志",1479,19821026,西藏自治区,1800,常绿阔叶林下常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01908160.jpg,,,,,,,,,, +荷花玉兰,Magnolia grandiflora,石世贵,S-0347,19960627,湖北省,930,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800279.jpg,,,,,,,,,, +荷花玉兰,Magnolia grandiflora,,110,19720625,杭州,,,,,https://image.cvh.ac.cn/files/l/BJM/157783.jpg,,,,,,,,,, +,Magnolia grandiflora,关福情,,19930809,俄克拉荷马州,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00037542.jpg,,,,,,,,,, +,Magnolia griffithii,B.Bartholomew etc.,8737,20010906,,675,Disturbed broadleaved evergreen forest with tall bamboo. On moist slope in forest,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1255612.jpg,,,,,,,,,, +,Magnolia gustavii,Piya Chalermglin,450416,20020416,,900,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0121007.jpg,,,,,,,,,, +,Magnolia kingii,,,,,,,,,,,,,,,,,,, +,Magnolia mannii,,,,,,,,,,,,,,,,,,, +,Magnolia oblonga,,,,,,,,,,,,,,,,,,, +,Magnolia pealiana,,,,,,,,,,,,,,,,,,, +,Magnolia pleiocarpa,,,,,,,,,,,,,,,,,,, +,Magnolia pterocarpa,,,,,,,,,,,,,,,,,,, +,Magnolia punduana,,,,,,,,,,,,,,,,,,, +,Magnolia rabaniana,,,,,,,,,,,,,,,,,,, +察隅十大功劳,Mahonia calamicaulis,"应俊生,洪德元",547,19650715,西藏自治区,2500,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01034505.jpg,,,,,,,,,, +门隅十大功劳,Mahonia monyulensis,方震东、和光,XZ-219,20070924,西藏自治区,1798,亚热性多年生禾草-裸岩植被,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002117.jpg,,,,,,,,,, +独龙十大功劳,Mahonia taronensis,中国科学院综合考察委员会,2668,19740918,西藏自治区,1800,常绿阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01034956.jpg,,,,,,,,,, +独龙十大功劳,Mahonia taronensis,T.N. Liou & C.Wang,1052,1939/9/29,四川省,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0065145.jpg,,,,,,,,,, +,Mahonia taronensis,H. R. E. Handel-Mazzetti,9447,1916/7/9,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00103478.jpg,,,,,,,,,, +高大鹿药,Maianthemum atropurpureum,刘林翰,9104,19580624,湖南省,1280,荫蔽度大密林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/223014.jpg,,,,,,,,,, +高大鹿药,Maianthemum atropurpureum,任宗昕,蒋伟,张明英,骆洋,王雪芹,WH-2012-0406,20120625,云南,2887,林下,灌木,,https://image.cvh.ac.cn/files/l/KUN/1391987.jpg,,,,,,,,,, +高大鹿药,Maianthemum atropurpureum,"熊济华,周子林",90557,19570428,重庆市,1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00330994.jpg,,,,,,,,,, +抱茎鹿药,Maianthemum forrestii,K.M.Feng,4705,19400617,云南省,3100~3200,杂林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00331019.jpg,,,,,,,,,, +,Maianthemum forrestii,王启无,711750,19350700,云南省 ,2800,under forest,herbs,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00555860.jpg,,,,,,,,,, +抱茎鹿药,Maianthemum forrestii,C. S. Chang et al.,SI0991,20100702,四川省,3056,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896720.jpg,,,,,,,,,, +西南鹿药,Maianthemum fuscum,张挺,杨湘云,李涟漪,14CS9604,20141108,云南,1281,河边箐沟灌丛,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1391997.jpg,,,,,,,,,, +西南鹿药,Maianthemum fuscum,PE西藏考察队,Feb-81,20180626,西藏自治区,3081~3200,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332896.jpg,,,,,,,,,, +西南鹿药,Maianthemum fuscum,"Xiaohua Jin,Shuren Zhang,Ye Lwin Aung",PT-2124,20160614,,3100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02112861.jpg,,,,,,,,,, +,Maianthemum fuscum var. cordatum,独龙江考察队,6939,19910520,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1247441.jpg,,,,,,,,,, +,Maianthemum fuscum var. cordatum,林芹,791658,19790731,云南省 ,2500~3000,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1247443.jpg,,,,,,,,,, +贡山鹿药,Maianthemum gongshanense,青藏队,8487,19820724,云南省,3600~3400,山坡灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/KUN/223145.jpg,,,,,,,,,, +管花鹿药,Maianthemum henryi,李国凤,61513,19570524,重庆市,1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00331099.jpg,,,,,,,,,, +管花鹿药,Maianthemum henryi,张永洪,王晓雄,周卓,岳亮亮,SunH-07ZX-1666,20080731,西藏,3840,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391999.jpg,,,,,,,,,, +管花鹿药,Maianthemum henryi,朱太平,1021,19590517,贵州省,0,山顶潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/223210.jpg,,,,,,,,,, +丽江鹿药,Maianthemum lichiangense,刘正宇,972887,19980423,重庆市,2300,草坪上,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0014997.jpg,,,,,,,,,, +,Maianthemum lichiangense,王乾、顾健,SCW1861,20200614,四川,3745,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274381.jpg,,,,,,,,,, +丽江鹿药,Maianthemum lichiangense,K.M.Feng,1370,19390623,云南省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00331213.jpg,,,,,,,,,, +长柱鹿药,Maianthemum oleraceum,刘成,张挺,张书东,13CS6541,20130601,西藏,2665,云杉针叶林林缘路边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1392014.jpg,,,,,,,,,, +长柱鹿药,Maianthemum oleraceum,T.T.Yu,19240,19380709,云南省,2800,under dense forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00331218.jpg,,,,,,,,,, +,Maianthemum oleraceum,"Yü, Tse-tsun",22087,13-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00381863.jpg,,,,,,,,,, +紫花鹿药,Maianthemum purpureum,谭少林,YLDP131B,20140625,云南,,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1449979.jpg,,,,,,,,,, +紫花鹿药,Maianthemum purpureum,蔡杰,刘成,郭永杰,13CS6975,20130604,西藏,3554,黄背栎林下,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1392016.jpg,,,,,,,,,, +紫花鹿药,Maianthemum purpureum,黑水组,1098,19590512,四川省,2700~2500,山坡河谷,,有花无果,https://image.cvh.ac.cn/files/l/KUN/223506.jpg,,,,,,,,,, +窄瓣鹿药,Maianthemum tatsienense,王启无,68290,19350000,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0645985.jpg,,,,,,,,,, +窄瓣鹿药,Maianthemum tatsienense,黔南队,1145,19590502,贵州省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/223385.jpg,,,,,,,,,, +窄瓣鹿药,Maianthemum tatsienense,白波,唐卫红,魏艳丽,许舒雯,方伟,13PXD015,20130618,云南,3121,杂木林下,草本,,https://image.cvh.ac.cn/files/l/KUN/1392022.jpg,,,,,,,,,, +沼兰,Malaxis monophyllos,张重岭,258,20180715,内蒙古,1265.4,阔叶林,,无花无果,https://image.cvh.ac.cn/files/l/YAK/YAK0005192.jpg,,,,,,,,,, +沼兰,Malaxis monophyllos,"陈又生,袁慊,徐连升,李灵露",140789,20140723,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230198.jpg,,,,,,,,,, +沼兰,Malaxis monophyllos,金效华,8221,20060630,甘肃省,3264,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033110.jpg,,,,,,,,,, +,Malaxis muscifera,"Jin Xh,Wang LS Wang Q et al.",ST0598,20130719,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977022.jpg,,,,,,,,,, +,Malaxis muscifera,金效华,8316,20060730,云南,2771,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825299.jpg,,,,,,,,,, +,Malleola tibetica,,,,,,,,,,,,,,,,,,, +稻城海棠,Malus daochengensis,K.M.Feng,4549,19400614,云南省,3200,杂林中,乔木,有花有果,https://image.cvh.ac.cn/files/l/PE/00927531.jpg,,,,,,,,,, +,Malus daochengensis,T. T. Yu,12929,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00026647.jpg,,,,,,,,,, +稻城海棠,Malus daochengensis,T.T.Yu,12913,19370827,四川省,2800,side of field,shrub,无花有果,https://image.cvh.ac.cn/files/l/PE/00934235.jpg,,,,,,,,,, +沧江海棠,Malus ombrophila,,54,19620828,北京市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01608635.jpg,,,,,,,,,, +沧江海棠,Malus ombrophila,任再金,3921,19931022,四川省,2380,村边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651185.jpg,,,,,,,,,, +沧江海棠,Malus ombrophila,Joseph F. Rock,22075,May-32,"西藏; Southeast Tibet,","10,0",,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00074291.jpg,,,,,,,,,, +变叶海棠,Malus toringoides,朱惠贤,3745,20090627,湖北,170,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1903745.jpg,,,,,,,,,, +变叶海棠,Malus toringoides,,5904,19200526,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00014743.jpg,,,,,,,,,, +变叶海棠,Malus toringoides,刘更喜,s.n.,19920728,青海省,2300~2500,林缘灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00953999.jpg,,,,,,,,,, +西藏木莲,Manglietia caveana,李达孝,23282,20010908,,,,,,https://image.cvh.ac.cn/files/l/SZG/SZG00009230.jpg,,,,,,,,,, +西藏木莲,Manglietia caveana,李达孝、胡光时,23573,19950923,云南省 ,,,,,https://image.cvh.ac.cn/files/l/SZG/SZG00009389.jpg,,,,,,,,,, +西藏木莲,Manglietia caveana,李达孝,23321,19880416,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00007051.jpg,,,,,,,,,, +中缅木莲,Manglietia hookeri,俞德浚,16559,19360728,云南,1800,Among forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/41229.jpg,,,,,,,,,, +中缅木莲,Manglietia hookeri,Forrest,11811,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00051679.jpg,,,,,,,,,, +中缅木莲,Manglietia hookeri,李达孝,23311,19851121,云南省 ,1800,,,,https://image.cvh.ac.cn/files/l/SZG/SZG00009191.jpg,,,,,,,,,, +红花木莲,Manglietia insignis,赵玮,莫连贤,段在贤,BSGLGSly016,20101020,云南,2180,常绿阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1230294.jpg,,,,,,,,,, +红色木莲,Manglietia insignis,,s.n.,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00103511.jpg,,,,,,,,,, +红花木莲,Manglietia insignis,Forrest,18964,,西藏; Tibet,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00051702.jpg,,,,,,,,,, +,Mannagettaea labiata,,,,,,,,,,,,,,,,,,, +,Mapania arunachalensis,,,,,,,,,,,,,,,,,,, +,Mapania palustris,,,,,,,,,,,,,,,,,,, +,Marmoritis complanatum,,,,,,,,,,,,,,,,,,, +,Marmoritis decolorans,,,,,,,,,,,,,,,,,,, +,Marmoritis nivalis,,,,,,,,,,,,,,,,,,, +墨脱牛奶菜,Marsdenia medogensis,李渤生,程树志,791,19820908,西藏自治区,2600,山地阔叶林中,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029534.jpg,,,,,,,,,, +美蓝叶藤,Marsdenia pulchella,Heinr.Frh.v.Handel-Mazzetti,504,19140530,四川省,2500~2900,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00209293.jpg,,,,,,,,,, +荚果蕨,Matteuccia struthiopteris,X.C.Zhang,3804,20060611,云南省,2500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01451321.jpg,,,,,,,,,, +荚果蕨,Matteuccia struthiopteris,C. W. Wang,66104,1935/08/,云南,3000,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0040750.jpg,,,,,,,,,, +荚果蕨,Matteuccia struthiopteris,艾铁民、文明龙,82027,19820730,吉林,700,公路旁,,无花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0009673.jpg,,,,,,,,,, +盘果草,Mattiastrum himalayense,青藏队植被组,12928,19760701,西藏自治区,3100,碎屑坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01519068.jpg,,,,,,,,,, +盘果草,Mattiastrum himalayense,,,19840908,山西省,1700,,,无花无果,https://image.cvh.ac.cn/files/l/SSMM/0003045.jpg,,,,,,,,,, +琴叶通泉草,Mazus celsioides,罗建等,LuoJian-XZ-0928,20091002,西藏自治区,3330,灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913612.jpg,,,,,,,,,, +琴叶通泉草,Mazus celsioides,780植被组,401,19781114,云南省,2000,村旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486298.jpg,,,,,,,,,, +琴叶通泉草,Mazus celsioides,,5358,,,,Growing on bare dry soil banks,,有花无果,https://image.cvh.ac.cn/files/l/PE/01394698.jpg,,,,,,,,,, +皮刺绿绒蒿,Meconopsis aculeata,青藏队植被组,4051,19750619,西藏自治区,3900~4000,荡嘎村东南山东坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00051674.jpg,,,,,,,,,, +皮刺绿绒蒿,Meconopsis aculeata,王安成,71,20020705,贵州省,1011,丛林,,有花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0011706.jpg,,,,,,,,,, +,Meconopsis aculeata,张大才,尹五元,李双智,丁文谦,何廷顺,侯雄辉,张明启,ZhangDC-07ZX-2309,20110925,四川,4638,流石滩,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1234691.jpg,,,,,,,,,, +白花绿绒蒿,Meconopsis argemonantha,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0709,20130808,西藏自治区,,多石草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000492.jpg,,,,,,,,,, +,Meconopsis argemonantha,"Ludlow, Frank: Sherriff, George & Taylor, George",5790,8-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00060630.jpg,,,,,,,,,, +久治绿绒蒿,Meconopsis barbiseta,D.E.Boufford et al.,34065,20050803,四川省,4785~4900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579608.jpg,,,,,,,,,, +,Meconopsis barbiseta,陈世龙,张得钧,高庆波等,ChenSL0375,20080808,青海,4040,河滩地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1234693.jpg,,,,,,,,,, +,Meconopsis barbiseta,果洛队,438,19710801,青海省,4400,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/25514.jpg,,,,,,,,,, +长果绿绒蒿,Meconopsis delavayi,黄治平,18,1930-05-,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0132286.jpg,,,,,,,,,, +长果绿绒蒿,Meconopsis delavayi,北京所横断山,2120,19810728,云南省,4100~4200,高山草甸上部山谷常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050914.jpg,,,,,,,,,, +长果绿绒蒿,Meconopsis delavayi,,23048,,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0493084.jpg,,,,,,,,,, +,Meconopsis florindae,"Kingdon-Ward, Frank",6038,2-Aug-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00060622.jpg,,,,,,,,,, +,Meconopsis forrestii,张昌兵,邓秀发,郝国歉,ZhangCB0359,20110815,四川,3749,山坡山脊(有裸露岩石的地方),直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1234708.jpg,,,,,,,,,, +丽江绿绒蒿,Meconopsis forrestii,T.T.Yu,6434,19370619,四川省,3800,under woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01050933.jpg,,,,,,,,,, +丽江绿绒蒿,Meconopsis forrestii,T.T.Yu,11601,19370607,云南省,3100,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01050937.jpg,,,,,,,,,, +,Meconopsis georgei,"Forrest, George",30100,1931,,,,,,https://image.cvh.ac.cn/files/l/E/E00060472.jpg,,,,,,,,,, +,Meconopsis georgei,"钟扬,许敏",ZhongY1081,20111002,西藏自治区,4785,,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1234710.jpg,,,,,,,,,, +,Meconopsis georgei,,23283,19590826,云南省,4000,流石陡坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050902.jpg,,,,,,,,,, +川西绿绒蒿,Meconopsis henrici,,,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050952.jpg,,,,,,,,,, +川西绿绒蒿,Meconopsis henrici,J.F.Rock,13632,19250900,甘肃省,4167,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01050939.jpg,,,,,,,,,, +川西绿绒蒿,Meconopsis henrici,"郎楷永,李良千,费勇",1026,19820805,四川省,4100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050953.jpg,,,,,,,,,, +,Meconopsis horridula,郭淑青,杜品,LiuJQ-2012-GN-247,20120824,甘肃,3210,高寒草甸,直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1234733.jpg,,,,,,,,,, +,Meconopsis horridula,何兴金,李琴琴,马祥光,赵丽华,SCU-09-179,20090826,四川,4432,高山灌丛,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1234744.jpg,,,,,,,,,, +多刺绿绒蒿,Meconopsis horridula,G.Forrest,30095,20140000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050858.jpg,,,,,,,,,, +,Meconopsis pseudohorridula,,5902,19830727,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02051055.jpg,,,,,,,,,, +,Meconopsis pseudohorridula,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-1013,20080723,西藏,5307,高山流石滩,直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1300688.jpg,,,,,,,,,, +拟多刺绿绒蒿,Meconopsis pseudohorridula,郭先林、贾圣斌,2041332,20200721,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02041332.jpg,,,,,,,,,, +拟秀丽绿绒蒿,Meconopsis pseudovenusta,北京新横断山队,3626,19810824,云南省,4150~4400,高山流石滩多见,高山灌丛草甸也多见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050812.jpg,,,,,,,,,, +,Meconopsis pseudovenusta,"Forrest, George",12686,14-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00060514.jpg,,,,,,,,,, +拟秀丽绿绒蒿,Meconopsis pseudovenusta,洮河队,268,19910808,甘肃省,3500,山坡,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0493431.jpg,,,,,,,,,, +,Meconopsis punicea,陈世龙,张得钧,高庆波等,ChenSL0266,20080803,青海,4010,高山灌木丛或草甸或石坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1234859.jpg,,,,,,,,,, +红花绿绒蒿,Meconopsis punicea,N.M.Przewalski,s.n.,18840713,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029133.jpg,,,,,,,,,, +红花绿绒蒿,Meconopsis punicea,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02051057.jpg,,,,,,,,,, +总状绿绒蒿,Meconopsis racemosa,那木哉,,,内蒙古自治区,,山上到处可见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02051235.jpg,,,,,,,,,, +总状绿绒蒿,Meconopsis racemosa,杨福生,s.n.,20090716,云南省,4182,灌丛,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053354.jpg,,,,,,,,,, +总状绿绒蒿,Meconopsis racemosa,王一峰等,94317,19940712,甘肃省,3350,高山草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02051242.jpg,,,,,,,,,, +,Meconopsis speciosa,,,,,,,,,,,,,,,,,,, +,Meconopsis speciosa,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0807,20080723,西藏,5100,流石滩,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1234899.jpg,,,,,,,,,, +美丽绿绒蒿,Meconopsis speciosa,青藏队,2683,19510712,云南省,4650,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050567.jpg,,,,,,,,,, +毛瓣绿绒蒿,Meconopsis torquata,青藏队,74-3091,19740905,西藏自治区,3800,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01051655.jpg,,,,,,,,,, +秀丽绿绒蒿,Meconopsis venusta,G.Forrest,30114,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050574.jpg,,,,,,,,,, +,Meconopsis venusta,陈文允,于文涛,黄永江,CYH223,20100915,四川,4650,高山草甸,乱石缝,流石滩,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1234901.jpg,,,,,,,,,, +,Meconopsis venusta,张挺,蔡杰,郭永杰,刘成,张桥蓉,11CS3079,20110813,云南,4085,高山流石滩,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1300700.jpg,,,,,,,,,, +藏南绿绒蒿,Meconopsis zangnanensis,吴征镒,陈书坤,杜庆等,960,19750718,西藏自治区,4300~4500,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0493753.jpg,,,,,,,,,, +,Meiogyne arunachalensis,,,,,,,,,,,,,,,,,,, +长舌臭草,Melica longiligulata,新疆队,766,19740719,新疆维吾尔自治区,1600,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0213788.jpg,,,,,,,,,, +长舌臭草,Melica longiligulata,郭本兆、王为义,21389,19770712,四川省,3400,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/106126.jpg,,,,,,,,,, +长舌臭草,Melica longiligulata,K1-2,1912194,20190829,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0024825.jpg,,,,,,,,,, +,Melica taylorii,,,,,,,,,,,,,,,,,,, +雅江臭草,Melica yajiangensis,郭本兆 王为义,23635,19770910,四川省,2700,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0231197.jpg,,,,,,,,,, +,Melissa yunnanensis,,,,,,,,,,,,,,,,,,, +,Melocalamus elevatissimus,,,,,,,,,,,,,,,,,,, +颈果草,Metaeritrichium microuloides,D.E.Boufford et al.,31690,20040804,西藏自治区,4325~4435,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856053.jpg,,,,,,,,,, +颈果草,Metaeritrichium microuloides,T.N.Ho et al.,1661,19960812,青海省,4600,"Stony slope with vertical stripes of unconsolidated scree with very few plants,Growing at roadside and in frost-heave areas",,有花有果,https://image.cvh.ac.cn/files/l/PE/01361160.jpg,,,,,,,,,, +颈果草,Metaeritrichium microuloides,吴玉虎,1649,19880817,新疆维吾尔自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/150752.jpg,,,,,,,,,, +毛茛莲花,Metanemone ranunculoides,王启无,64644,19350700,云南省,3500,Mountain slope,Herbs,有花无果,https://image.cvh.ac.cn/files/l/PE/00028160.jpg,,,,,,,,,, +薄叶凸轴蕨 ,Metathelypteris flaccida,Mr.W.Hancock,122,18930000,云南省 ,,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1221603.jpg,,,,,,,,,, +薄叶凸轴蕨 ,Metathelypteris flaccida,严岳鸿等,3765,20070505,江西省,500,山谷林下,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01786674.jpg,,,,,,,,,, +薄叶凸轴蕨 ,Metathelypteris flaccida,"李中阳,卫然",WR0220,20111209,云南省,2100,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871909.jpg,,,,,,,,,, +,Metathelypteris uraiensis var. tibetica,青藏队,74-5087,19740911,西藏自治区,1700,山坡阔叶林中,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00823591.jpg,,,,,,,,,, +黄兰,Michelia champaca,周应再,Zhyz-356,20081110,云南,1633,庭院,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230318.jpg,,,,,,,,,, +黄兰,Michelia champaca,李振宇等,1445,19981024,广西壮族自治区,850,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01975869.jpg,,,,,,,,,, +黄兰,Michelia champaca,汪韬,234,20200605,福建,20,路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/AU/AU080544.jpg,,,,,,,,,, +乐昌含笑,Michelia chapensis,,549,20041113,江西省,250,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01852792.jpg,,,,,,,,,, +乐昌含笑,Michelia chapensis,袁家谟,689,19811012,贵州省,935,,常绿乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00320474.jpg,,,,,,,,,, +乐昌含笑,Michelia chapensis,杨宝林,02316C,20020820,湖北省,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/JJF/00011565.jpg,,,,,,,,,, +南亚含笑,Michelia doltsopa,青藏队,11760,19830705,四川省,2200,山坡 常绿阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109180.jpg,,,,,,,,,, +南亚含笑,Michelia doltsopa,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,1039,20121019,西藏,,林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/BJM/0230414.jpg,,,,,,,,,, +南亚含笑,Michelia doltsopa,C.W.Wang,72314,19360300,云南省 ,2700,,Woody plant,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00318847.jpg,,,,,,,,,, +多花含笑,Michelia floribunda,Albert N. Steward C.Y. Chiao ,637,1931/9/9,贵州; KWEICHOW,900,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00051020.jpg,,,,,,,,,, +多花含笑,Michelia floribunda,叶华谷,672,1988-02-,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0053580.jpg,,,,,,,,,, +多花含笑,Michelia floribunda,杨永康,364,1959,安徽,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/NFP/NFP0000616.jpg,,,,,,,,,, +西藏含笑,Michelia kisopa,周仁章,1614,20040308,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00009130.jpg,,,,,,,,,, +西藏含笑,Michelia kisopa,青藏队,74-4392,19740820,西藏自治区,1100,山坡杂木林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231210.jpg,,,,,,,,,, +西藏含笑,Michelia kisopa,刀志灵;蔡磊;杨静;张品;杨佳俊;姚刚;孙卫邦,KIBDZL043B06,20171005,西藏,2155,318国道路两边,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1562229.jpg,,,,,,,,,, +绒毛含笑,Michelia velutina,周仁章,4149,19991010,广东省,,,乔木,,https://image.cvh.ac.cn/files/l/SZG/SZG00006943.jpg,,,,,,,,,, +绒毛含笑,Michelia velutina,汤庚国 袁发银,1253,19910703,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2006033.jpg,,,,,,,,,, +绒叶含笑,Michelia velutina,吴磊,10500,20200507,湖南,100,平地,乔木,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI069858.jpg,,,,,,,,,, +白兰,Michelia × alba,林汝昌,3486,1954-01-,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0053031.jpg,,,,,,,,,, +白兰,Michelia × alba,李树刚,80992,1935-05-,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0052976.jpg,,,,,,,,,, +白兰,Michelia × alba,卢东升,9105228,1992.06.,湖北,300,,,无花无果,https://image.cvh.ac.cn/files/l/HENU/1015419.jpg,,,,,,,,,, +长托鳞盖蕨,Microlepia firma,,235,19590428,四川省,900,中山,山坡,路边,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/0806249.jpg,,,,,,,,,, +长托鳞盖蕨,Microlepia firma,J.F.Rock,7349,19221100,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00145380.jpg,,,,,,,,,, +长托鳞盖蕨,Microlepia firma,F.G.Dickason,7422,19380904,,0~2100,,,无花无果,https://image.cvh.ac.cn/files/l/N/832002080.jpg,,,,,,,,,, +虎克鳞盖蕨,Microlepia hookeriana,瞿华、王基宇,66,20180120,福建,320,路边灌丛,草本,有孢子囊,https://image.cvh.ac.cn/files/l/AU/AU068269.jpg,,,,,,,,,, +虎克鳞盖蕨,Microlepia hookeriana,金摄郎,JSL3694,20160214,广西省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0113657.jpg,,,,,,,,,, +虎克鳞盖蕨,Microlepia hookeriana,严岳鸿,YYH11623,20130504,台湾,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0123431.jpg,,,,,,,,,, +西南鳞盖蕨,Microlepia khasiyana,青藏队,74-4354,19740819,西藏自治区,850,山坡 芭蕉林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00453784.jpg,,,,,,,,,, +西南鳞盖蕨,Microlepia khasiyana,,s.n.,,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00453781.jpg,,,,,,,,,, +西南鳞盖蕨,Microlepia khasiyana,严岳鸿、金摄郎、王莹、朱晓凤,WYD051,20140810,广东省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0083717.jpg,,,,,,,,,, +,Microlepia macrorhomboidea,,,,,,,,,,,,,,,,,,, +,Microlepia marginata var. calvescens,中苏队,5073,19570222,云南省,0,路旁,疏林中,阳处,南坡,草本,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/0806394.jpg,,,,,,,,,, +光叶鳞盖蕨,Microlepia marginata var. calvescens,余丽莹等3人,YLYJX0120,20100624,广西壮族自治区,,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMI/GXMI062651.jpg,,,,,,,,,, +光叶鳞盖蕨,Microlepia marginata var. calvescens,金摄郎,JSL3689,20160214,广西省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0113642.jpg,,,,,,,,,, +阔叶鳞盖蕨,Microlepia platyphylla,严岳鸿、金摄郎、王莹、朱晓凤,WYD609,20140815,广东省,,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0082279.jpg,,,,,,,,,, +阔叶鳞盖蕨,Microlepia platyphylla,余丽莹、黄宝优、谭小明、姚积军,451028121114100LY,20121114,广西,1131,阔叶林,林下,石灰土,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMG/GXMG0143365.jpg,,,,,,,,,, +阔叶鳞盖蕨,Microlepia platyphylla,,76287,19840328,贵州省,1000,沟谷 季雨林下土生,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00484172.jpg,,,,,,,,,, +假粗毛鳞盖蕨,Microlepia pseudostrigosa,王映明,1698,19881017,湖北省,720,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0100121.jpg,,,,,,,,,, +假粗毛鳞盖蕨,Microlepia pseudostrigosa,张代贵,王业清,朱晓琴,"zdg,wyq,zxq0188",20170320,湖北宜昌,639,阔叶林下,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/HHE01483.jpg,,,,,,,,,, +假粗毛鳞盖蕨,Microlepia pseudostrigosa,Kiyotaka Hori,K.Hori 15,20150922,Shizuoka,,,,无孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0106494.jpg,,,,,,,,,, +斜方鳞盖蕨,Microlepia rhomboidea,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07344,20160913,西藏,738,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136398.jpg,,,,,,,,,, +斜方鳞盖蕨,Microlepia rhomboidea,South Tibet Expedition Team(STET),STET2352,20100807,西藏自治区,840,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02013511.jpg,,,,,,,,,, +斜方鳞盖蕨,Microlepia rhomboidea,严岳鸿等,13258,20011000,广东省,600,林下,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01763516.jpg,,,,,,,,,, +,Microlepia singhii,,,,,,,,,,,,,,,,,,, +热带鳞盖蕨,Microlepia speluncae,South Tibet Expedition Team (STET),STET1890,20100801,西藏自治区,1500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02013487.jpg,,,,,,,,,, +热带鳞盖蕨,Microlepia speluncae,严岳鸿、金摄郎、王莹,YYH13300,20140425,广西省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0052097.jpg,,,,,,,,,, +热带鳞盖蕨,Microlepia speluncae,严岳鸿等,4627,20071023,海南省,100,山谷林下,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01786199.jpg,,,,,,,,,, +,Micromeria barosma,,,,,,,,,,,,,,,,,,, +,Micromeria euosma,,,,,,,,,,,,,,,,,,, +,Micromeria wardii,,,,,,,,,,,,,,,,,,, +,Micropera mannii,,,,,,,,,,,,,,,,,,, +,Micropera obtusa,,,,,,,,,,,,,,,,,,, +,Micropera rostrata,,,,,,,,,,,,,,,,,,, +,Micropera tibetica,,,,,,,,,,,,,,,,,,, +锡金锯蕨,Micropolypodium sikkimense,喻勋林,1247,19970804,湖南省,1900,,小草本,附生于多脉青冈树干上,无花无果,https://image.cvh.ac.cn/files/l/HUST/00002734.jpg,,,,,,,,,, +锡金锯蕨,Micropolypodium sikkimense,魏奇,WQ408,20141003,云南,2987,石附生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1435062.jpg,,,,,,,,,, +,Microsorum cuspidatum,"D.K.harder,D.K.Harder, N.T.Hiep, P.Manos et A. L. ",5926,20001012,,365~690,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01964320.jpg,,,,,,,,,, +光亮瘤蕨,Microsorum cuspidatum,中植连广西队,4398,20081020,广西,867~1260,石灰岩山坡,草本,有孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0190867.jpg,,,,,,,,,, +羽裂星蕨,Microsorum insigne,何国生,10307,20001112,福建省,400,山地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01397224.jpg,,,,,,,,,, +羽裂星蕨,Microsorum insigne,,2154,20111014,贵州,,溪边、林下、林缘石上,草本,无孢子囊,https://image.cvh.ac.cn/files/l/GYBG/GYBG0004806.jpg,,,,,,,,,, +羽裂星蕨,Microsorum insigne,周喜乐,张九兵,ZXL05598,20150907,湖南,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0119429.jpg,,,,,,,,,, +星蕨,Microsorum punctatum,"邢公侠,夏群",5309,19840829,四川省,1300,路边石壁,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01246084.jpg,,,,,,,,,, +星蕨,Microsorum punctatum,张守君,10-4800,20110302,四川,1260,,木本,无孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0175902.jpg,,,,,,,,,, +星蕨,Microsorum punctatum,谭士贤,201,19840727,重庆市,680,生石灰岩上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01246087.jpg,,,,,,,,,, +,Microtoena muliensis,,,,,,,,,,,,,,,,,,, +,Microtropis sphaerocarpa,,,,,,,,,,,,,,,,,,, +尖叶微孔草,Microula blepharolepis,T.N.Ho et al.,2921,19960907,青海省,3900,Gentle slopes with degraded alpine meadow;steeper slopes with groves of Juniperus Growing mostly under Juniperus,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361185.jpg,,,,,,,,,, +,Microula blepharolepis,,,,,,,,,,,,,,,,,,, +尖叶微孔草,Microula blepharolepis,"张泽荣,周洪富",22259,19570620,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01339690.jpg,,,,,,,,,, +巴塘微孔草,Microula ciliaris,,907,19730821,西藏自治区,4200,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648908.jpg,,,,,,,,,, +巴塘微孔草,Microula ciliaris,四川省植被调查队,稻1824,19730614,四川省,3850,草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01339691.jpg,,,,,,,,,, +疏散微孔草,Microula diffusa,T. P. Wang,5884,,,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0067402.jpg,,,,,,,,,, +疏散微孔草,Microula diffusa,PE西藏队,PE6716,20170915,西藏自治区,4200,湖边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330449.jpg,,,,,,,,,, +疏散微孔草,Microula diffusa,生物所,10077,19750630,四川省,0~3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0537007.jpg,,,,,,,,,, +无孔微孔草,Microula efoveolata,赵清盛等,6735,19780723,四川省,3200,公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997666.jpg,,,,,,,,,, +无孔微孔草,Microula efoveolata,俞德浚,7038,19370706,浙江省,3400,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/484218.jpg,,,,,,,,,, +多花微孔草,Microula floribunda,Anonymous,135,19600000,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111267.jpg,,,,,,,,,, +多花微孔草,Microula floribunda,高信芬,817,20000818,四川,3400,草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0180978.jpg,,,,,,,,,, +多花微孔草,Microula floribunda,不祥,22542,19590806,云南省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/45889.jpg,,,,,,,,,, +密毛微孔草,Microula hispidissima,于胜祥等,5294,20110812,西藏自治区,4147,沿途路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01956073.jpg,,,,,,,,,, +总苞微孔草,Microula involucriformis,,824,,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/138252295.jpg,,,,,,,,,, +总苞微孔草,Microula involucriformis,藏药队,732,19710818,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/24288.jpg,,,,,,,,,, +总苞微孔草,Microula involucriformis,78研实习小组,79067,19790718,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997667.jpg,,,,,,,,,, +吉隆微孔草,Microula jilongensis,青藏队植被组,5705,19750801,西藏自治区,4050,山坡草原下部,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076807.jpg,,,,,,,,,, +吉隆微孔草,Microula jilongensis,M.Suzuki etc.,9485298,19940805,,3740,open rocky grassland,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261330.jpg,,,,,,,,,, +光果微孔草,Microula leiocarpa,王启无,70013,19350900,云南省,2700,ravine water side,herbs,有花无果,https://image.cvh.ac.cn/files/l/PE/00029612.jpg,,,,,,,,,, +长梗微孔草,Microula longipes,谢登峰、蔡竞、秦换换,QH-013-B-007,20200923,四川,3573.49m,灌丛,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02064187.jpg,,,,,,,,,, +长梗微孔草,Microula longipes,D.E.Boufford et al.,33452,20050722,四川省,3700~4175,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856018.jpg,,,,,,,,,, +,Microula longipes,T. T. Yu,7079,1938,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00351436.jpg,,,,,,,,,, +长筒微孔草,Microula longituba,青藏科考队,12095,19760702,西藏自治区,3800,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029742.jpg,,,,,,,,,, +长筒微孔草,Microula longituba,郝加琛,15132,20150707,四川省,3018,路边石滩,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0041861.jpg,,,,,,,,,, +木里微孔草,Microula muliensis,D.E.Boufford et al,42759,20100809,四川省,3610~3630,in soil at base of limestone ledge.,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883700.jpg,,,,,,,,,, +木里微孔草,Microula muliensis,高信芬、黎怀诚,THP-KD-0380,20170602,四川,3932,,一年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253044.jpg,,,,,,,,,, +鹤庆微孔草,Microula myosotidea,R.C.Ching,919,19230831,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00213627.jpg,,,,,,,,,, +鹤庆微孔草,Microula myosotidea,秦仁昌,24114,19290827,云南省,3800,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01339720.jpg,,,,,,,,,, +,Microula myosotidea,,,,,,,,,,,,,,,,,,, +,Microula oblongifolia,H. R. E. Handel-Mazzetti,3721,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00097567.jpg,,,,,,,,,, +,Microula oblongifolia,彭玉兰、涂卫国、幸福,Gaoxf0022,20080716,四川,4299,高山草矮灌丛甸,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0203601.jpg,,,,,,,,,, +长圆微孔草,Microula oblongifolia,北京植物所横断山队,1664,19810719,云南省,3100,山坡亚高山草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01339722.jpg,,,,,,,,,, +卵叶微孔草,Microula ovalifolia,康藏植物考察队,10-3263,20100903,云南省,4000,疏林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110887.jpg,,,,,,,,,, +卵叶微孔草,Microula ovalifolia,D.E.Boufford et al,42478,20100731,四川省,3990~4206,Around boulders on slope and under shrubs.,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883705.jpg,,,,,,,,,, +卵叶微孔草,Microula ovalifolia,C.W.Wang,68470,19350800,云南省 ,0~3600,,herb,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0537009.jpg,,,,,,,,,, +蓼状微孔草,Microula polygonoides,王启无,70339,19350900,云南省,2700,open slope,herbs,有花无果,https://image.cvh.ac.cn/files/l/PE/00029740.jpg,,,,,,,,,, +蓼状微孔草,Microula polygonoides,C.W.Wang,70339,19350900,云南省 ,2700,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00213564.jpg,,,,,,,,,, +,Microula pseudotrichocarpa,,,,,,,,,,,,,,,,,,, +甘青微孔草,Microula pseudotrichocarpa,张志和等,4245,19890727,青海省,2700,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111150.jpg,,,,,,,,,, +甘青微孔草,Microula pseudotrichocarpa,D.E.Boufford et al.,40204,20070822,四川省,3650~3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856019.jpg,,,,,,,,,, +柔毛微孔草,Microula rockii,史国宝,276,19800700,青海省,0~3500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0537010.jpg,,,,,,,,,, +柔毛微孔草,Microula rockii,J.F.Rock,14511,1926.7.29.,西藏,13300ft.,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0004685.jpg,,,,,,,,,, +柔毛微孔草,Microula rockii,Harry Smith,3045,19220805,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361259.jpg,,,,,,,,,, +匙叶微孔草,Microula spathulata,D.E.Boufford et al.,30972,20040720,四川省,4070,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856014.jpg,,,,,,,,,, +匙叶微孔草,Microula spathulata,T.T.Yu,11835,19370628,云南省,3300,grassy slope,herb prostating,有花无果,https://image.cvh.ac.cn/files/l/PE/01354025.jpg,,,,,,,,,, +狭叶微孔草,Microula stenophylla,杨金祥,2239,19630815,西藏自治区,4750,公路边砂土上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111148.jpg,,,,,,,,,, +狭叶微孔草,Microula stenophylla,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",1138,19930811,青海省,4040,On flood plane of Huang He with terraces of pebbles and sandy areas.In sand,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361235.jpg,,,,,,,,,, +狭叶微孔草,Microula stenophylla,朱格麟,4113,19600731,甘肃省,,黄河沿沙滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111145.jpg,,,,,,,,,, +宽苞微孔草,Microula tangutica,青藏队那曲分队陶德定,10776,19760805,西藏自治区,5100~5300,山口,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076803.jpg,,,,,,,,,, +宽苞微孔草,Microula tangutica,倪炳炽,233,1964-7 6,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0119346.jpg,,,,,,,,,, +宽苞微孔草,Microula tangutica,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",689,19930802,青海省,4300~4500,Alpine meadow on steep slopes and scree,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361237.jpg,,,,,,,,,, +,Microula younghusbandii,胡君、王东超、李丽、唐露,SC-a-068-B41,20180805,云南,,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609836.jpg,,,,,,,,,, +小微孔草,Microula younghusbandii,康藏植物考察队,10-0260,20100720,四川省,4178,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110885.jpg,,,,,,,,,, +,Microula younghusbandii,胡君、王东超、李丽、唐露,SC-a-079-B21,20180809,西藏,,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609834.jpg,,,,,,,,,, +,Miliusa dioeca,,,,,,,,,,,,,,,,,,, +,Miliusa macrocarpa,,,,,,,,,,,,,,,,,,, +,Miliusa sclerocarpa,,,,,,,,,,,,,,,,,,, +云南野独活,Miliusa tenuistipitata,毛品一,441,19510821,云南省 ,0~1500,肥土的林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0775456.jpg,,,,,,,,,, +云南野独活,Miliusa tenuistipitata,侯学良,20151215107,20151215,Phong Nha Ke Bang,150,石灰岩山地,疏林,阳处,小乔木,无花有果,https://image.cvh.ac.cn/files/l/AU/AU071578.jpg,,,,,,,,,, +云南野独活,Miliusa tenuistipitata,党成忠,589,19880801,贵州省,1100,,灌木,有花无果,https://image.cvh.ac.cn/files/l/HGAS/010868.jpg,,,,,,,,,, +西藏沟酸浆,Mimulus tibeticus,萧培根,2811,19650910,西藏自治区,3650,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/484340.jpg,,,,,,,,,, +西藏沟酸浆,Mimulus tibeticus,成都中医药大学,409,19790519,四川,2000,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0002865.jpg,,,,,,,,,, +,Mitrephora harae,,,,,,,,,,,,,,,,,,, +银钩花,Mitrephora tomentosa,武素功,蔡杰,殷根深,唐颖,Kimsrim Seap,SC0052,20101110,Takéo,40,Secondary evergreen forest,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230559.jpg,,,,,,,,,, +银钩花,Mitrephora tomentosa,盛才余,C400778,20170627,云南,570,"C40,引种号:00,2000,0279",乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026027.jpg,,,,,,,,,, +银钩花,Mitrephora tomentosa,侯学良、孙同兴、李燕飞、耿贺群,12100406,20121004,海南,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/AU071591.jpg,,,,,,,,,, +稀子蕨,Monachosorum henryi,黄成,163724,19571205,广东省,,山谷,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01790143.jpg,,,,,,,,,, +稀子蕨,Monachosorum henryi,何国生,8227,19980404,福建省,0~800,,蕨类,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0668274.jpg,,,,,,,,,, +稀子蕨,Monachosorum henryi,金摄郎、周喜乐,ZXL07751,20161124,重庆,814,溪谷边,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137178.jpg,,,,,,,,,, +箭叶雨久花,Monochoria hastata,K.K.TSOONG,0,19181120,广东,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0052566.jpg,,,,,,,,,, +箭叶雨久花,Monochoria hastata,C.W.Wang,77711,19350800,云南省 ,0~900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0646848.jpg,,,,,,,,,, +箭叶雨久花,Monochoria hastata,T.T.Yu,17556,19380831,云南省,1600,in rice field,,有花无果,https://image.cvh.ac.cn/files/l/PE/01789471.jpg,,,,,,,,,, +鸭舌草,Monochoria vaginalis,张代贵,zdg00003,20120912,湖南湘西州,,池塘水湿处,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU60939.jpg,,,,,,,,,, +鸭舌草,Monochoria vaginalis,吴宝成,王兆银,HANGYY8399,20081015,江苏,112,落叶阔叶林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1392686.jpg,,,,,,,,,, +鸭舌草,Monochoria vaginalis,PE-古蔺考察队,407,20100905,四川省,1502~850,水稻田中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01911316.jpg,,,,,,,,,, +,Monomeria barbata,王启无,86186,19400104,云南省,1000,"in forest,on rocks",,无花无果,https://image.cvh.ac.cn/files/l/PE/00522784.jpg,,,,,,,,,, +,Monomeria barbata,金效华,565,20000604,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820849.jpg,,,,,,,,,, +短瓣兰,Monomeria barbata,"刘恩德,方伟,朱鑫鑫, 孙增朋",LiuED6879A,20161210,云南,,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1495448.jpg,,,,,,,,,, +,Monoon longifolium,,,,,,,,,,,,,,,,,,, +,Monoon simiarum,,,,,,,,,,,,,,,,,,, +,Morina chlorantha,,,,,,,,,,,,,,,,,,, +,Morina kokonorica,,,,,,,,,,,,,,,,,,, +紫背鹿衔草,Murdannia divergens,W.L.Wagner,6614,19910919,台湾省,1330,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/232693.jpg,,,,,,,,,, +紫背鹿衔草,Murdannia divergens,中越考察队,2655,19650223,广宁,0,沼泽,,无花有果,https://image.cvh.ac.cn/files/l/KUN/734814.jpg,,,,,,,,,, +紫背鹿衔草,Murdannia divergens,中越考察队,1858,19650129,兰永安,0,近沙质荒地,,无花有果,https://image.cvh.ac.cn/files/l/KUN/734815.jpg,,,,,,,,,, +,Murdannia gigantea,,,,,,,,,,,,,,,,,,, +宽叶水竹叶,Murdannia japonica,朱太平,156,19581000,云南省 ,0~1500,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0633493.jpg,,,,,,,,,, +竹叶参,Murdannia japonica,李培元,11108,19590913,湖北省,830,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/231778.jpg,,,,,,,,,, +宽叶水竹叶,Murdannia japonica,罗成瑜,ALSZY362,20111113,云南,1900,荒地,草地,草本,,https://image.cvh.ac.cn/files/l/KUN/1390555.jpg,,,,,,,,,, +牛轭草,Murdannia loriformis,贺贤育,1535,19320804,浙江省,,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00778568.jpg,,,,,,,,,, +牛轭草,Murdannia loriformis,胡启明,1550,19580503,江西省,680,路边,阴地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00778574.jpg,,,,,,,,,, +牛轭草,Murdannia loriformis,武夷科考队,791044,19791003,福建,700,水田边,草本,有花无果,https://image.cvh.ac.cn/files/l/FJIDC/FJIDC018789.jpg,,,,,,,,,, +裸花水竹叶,Murdannia nudiflora,刘正宇、张军等,RQHZ06733-01,20140824,重庆,296,水湿荒地,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0083126.jpg,,,,,,,,,, +裸花水竹叶,Murdannia nudiflora,安明先,3846,20030920,贵州省,800,沟边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791343.jpg,,,,,,,,,, +裸花水竹叶,Murdannia nudiflora,侯元同,郭成勇,侯元免,曹灵杰,20180426036-1,20180426,海南,61,水边湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0049237.jpg,,,,,,,,,, +细竹篙草,Murdannia simplex,刘心祈,29411,19410508,湖南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0633190.jpg,,,,,,,,,, +细竹蒿草,Murdannia simplex,何文丰,743,19980218,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00778791.jpg,,,,,,,,,, +细竹篙草,Murdannia simplex,袁明,MY298,20091021,四川,1720,常绿针叶林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390572.jpg,,,,,,,,,, +矮水竹叶,Murdannia spirata,"Albert N.Steward,",3152,19330807,福建省,,sandy streamside near shore,,有花无果,https://image.cvh.ac.cn/files/l/PE/00778814.jpg,,,,,,,,,, +矮水竹叶,Murdannia spirata,郭永杰,李涟漪,聂细转,12CS5280,20121214,云南,710,溪边沟谷,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1390574.jpg,,,,,,,,,, +矮水竹叶,Murdannia spirata,曾宪锋,ZXF52356,20190923,广东,700,山地水边,匍匐草本,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0047495.jpg,,,,,,,,,, +水竹叶,Murdannia triquetra,李培元,11108,1959/9/13,湖北,830,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0357491.jpg,,,,,,,,,, +水竹叶,Murdannia triquetra,梁向日,62835,19330902,海南省,,近溪空旷沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237932.jpg,,,,,,,,,, +水竹叶,Murdannia triquetra,马丹丹 青海洋,ZJFC476,20070628,浙江省,400,山沟林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237929.jpg,,,,,,,,,, +小果野蕉,Musa acuminata,陈立卿,92362,19390731,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00136951.jpg,,,,,,,,,, +香蕉,Musa acuminata,苏享修,CSH13781,20161128,福建,3.65814,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0141504.jpg,,,,,,,,,, +小果野蕉,Musa acuminata,Arief 卫然 陈文俐,421,20141102,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067064.jpg,,,,,,,,,, +,Musa argentii,,,,,,,,,,,,,,,,,,, +,Musa arunachalensis,,,,,,,,,,,,,,,,,,, +,Musa aurantiaca,,,,,,,,,,,,,,,,,,, +野蕉,Musa balbisiana,C.W.Wang,85266,19391103,云南省,1300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00085717.jpg,,,,,,,,,, +野蕉,Musa balbisiana,武夷科考队,790479,19790916,福建,700,山坡林缘,草本,有花有果,https://image.cvh.ac.cn/files/l/FJIDC/FJIDC019130.jpg,,,,,,,,,, +野蕉,Musa balbisiana,黄淑美,4677,19590508,福建省,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0590608.jpg,,,,,,,,,, +芭蕉,Musa basjoo,,8395,1959-5 1,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0169845.jpg,,,,,,,,,, +芭蕉,Musa basjoo,王启无,84712,19391027,云南省,1200,山谷密林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0334147.jpg,,,,,,,,,, +芭蕉,Musa basjoo,南Ⅱ,8435,19840801,福建省,,,,,https://image.cvh.ac.cn/files/l/FJFC/FJFC0000823.jpg,,,,,,,,,, +,Musa cheesmanii,,,,,,,,,,,,,,,,,,, +,Musa kamengensis,,,,,,,,,,,,,,,,,,, +,Musa markkuana,,,,,,,,,,,,,,,,,,, +,Musa markkui,,,,,,,,,,,,,,,,,,, +,Musa puspanjaliae,,,,,,,,,,,,,,,,,,, +血红蕉,Musa sanguinea,刘爱忠,99004,19990916,云南省,750,"沟谷,溪边",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0334197.jpg,,,,,,,,,, +血红蕉,Musa sanguinea,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11897,20161114,西藏,1101,山地常绿阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1450923.jpg,,,,,,,,,, +,Musa velutina,Paul B.Marcum et al.,4459,20070117,,1194,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01938005.jpg,,,,,,,,,, +紫蕉,Musa velutina,杨威,C070015,20061030,云南省,570,百果园,草本,,https://image.cvh.ac.cn/files/l/HITBC/0023537.jpg,,,,,,,,,, +墨脱玉叶金花,Mussaenda decipiens,付立国,1051,19580715,福建省,0,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/77685.jpg,,,,,,,,,, +墨脱玉叶金花,Mussaenda decipiens,"李渤生,程树志",4928,19830530,西藏自治区,850,沟谷Ficus 林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080936.jpg,,,,,,,,,, +墨脱玉叶金花,Mussaenda decipiens,郭本兆 王为义,20212,19770622,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/64899.jpg,,,,,,,,,, +,Mycaranthes floribunda,,,,,,,,,,,,,,,,,,, +,Mycaranthes pannea,"蔡杰, 亚吉东, 李昌洪",17CS15102,20170404,云南,1540,常绿阔叶林林中,附生植物,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445829.jpg,,,,,,,,,, +日本全唇兰,Myrmechis japonica,T.T.Yu,21345,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00522792.jpg,,,,,,,,,, +日本全唇兰,Myrmechis japonica,钟补求,6732,19520704,西藏自治区,,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00805828.jpg,,,,,,,,,, +日本全唇兰,Myrmechis japonica,张挺,郭永杰,刘成等,10CS2166,20100731,云南,2858,Mixed forest. Growing near stream under bamboo.,,,https://image.cvh.ac.cn/files/l/KUN/1394105.jpg,,,,,,,,,, +矮全唇兰,Myrmechis pumila,Xiaohua Jin,16119,20150719,云南省,2600~3000,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233133.jpg,,,,,,,,,, +矮全唇兰,Myrmechis pumila,金效华,5095,20070713,云南,2347,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825301.jpg,,,,,,,,,, +小茨藻,Najas minor,,1097,19790726,四川,1000,,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM720000002.jpg,,,,,,,,,, +小茨藻,Najas minor,吉首大学生物资源与环境科学学院,GWJ20170610_0069,20170610,湖南,402,池塘,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU31876.jpg,,,,,,,,,, +小茨藻,Najas minor,张玉良,2719,19740905,吉林省,,,,无花有果,https://image.cvh.ac.cn/files/l/IFP/14901002x0019.jpg,,,,,,,,,, +厚毛毛冠菊,Nannoglottis delavayi,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191315,20190917,云南,3158,亚热带针叶林,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483669.jpg,,,,,,,,,, +,Nannoglottis delavayi,"Delavay, J.M.",616,1882-9-4,,,,,,https://image.cvh.ac.cn/files/l/P/P00132657.jpg,,,,,,,,,, +,Nannoglottis delavayi,赵清盛,6256,19780727,四川省,4000,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776243.jpg,,,,,,,,,, +宽苞毛冠菊,Nannoglottis latisquama,植被调查队,2471,19730809,四川,4000,阳坡高山松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824022.jpg,,,,,,,,,, +宽苞毛冠菊,Nannoglottis latisquama,滇西北金沙江队,63-6108,19630725,云南,3600,顶峰附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830191.jpg,,,,,,,,,, +宽苞毛冠菊,Nannoglottis latisquama,滇西北金沙江队,63-6108,19630725,云南省,3600,顶峰附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830191.jpg,,,,,,,,,, +,Nannoglottis ravida,,,,,,,,,,,,,,,,,,, +,Nannoglottis yunnanensis,G.Forrest,2407,19060600,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854692.jpg,,,,,,,,,, +,Nannoglottis yunnanensis,T.T.Yu,2322,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854689.jpg,,,,,,,,,, +短序绣线梅,Neillia breviracemosa,北京植物所横断山队,29,19810526,云南省,1950,河谷林下,小灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00061320.jpg,,,,,,,,,, +密花绣线梅,Neillia densiflora,PE西藏队,PE6285,20170911,西藏自治区,2445,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309848.jpg,,,,,,,,,, +福贡绣线梅,Neillia fugongensis,青藏队,6955,19820528,云南省,2600,山坡 常绿阔叶林缘,灌木,有花有果,https://image.cvh.ac.cn/files/l/PE/00972174.jpg,,,,,,,,,, +大花绣线梅,Neillia grandiflora,G.Forrest,30023,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00973533.jpg,,,,,,,,,, +大花绣线梅,Neillia grandiflora,西藏中草药普查队,1380,19720821,西藏自治区,2400,林内,灌木,有花有果,https://image.cvh.ac.cn/files/l/PE/00964405.jpg,,,,,,,,,, +西康绣线梅,Neillia thibetica,李洪钧,5660,19580817,湖北省,1000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0317241.jpg,,,,,,,,,, +西康绣线梅,Neillia thibetica,四川农学院植物专业,,19590527,四川,950,阳坡,PH5.5,灌木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM707001688.jpg,,,,,,,,,, +西康绣线梅,Neillia thibetica,PE西藏队,PE5713,20170903,西藏自治区,1683~2900,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330093.jpg,,,,,,,,,, +滇新樟,Neocinnamomum caudatum,780工程,991,19781212,云南省,1000,常绿林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01486251.jpg,,,,,,,,,, +滇新樟,Neocinnamomum caudatum,徐文斌,XWB20141216001,20141127,广西,850,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0045311.jpg,,,,,,,,,, +滇新樟,Neocinnamomum caudatum,王封才,439,20041006,贵州省,550,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01314354.jpg,,,,,,,,,, +新樟,Neocinnamomum delavayi,丁一,3189,20090627,湖北,196,森林,,无花有果,https://image.cvh.ac.cn/files/l/HENU/HENU1903189.jpg,,,,,,,,,, +新樟,Neocinnamomum delavayi,刘正宇,781124,19780512,重庆,1400,山地灌丛中,灌木,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0056647.jpg,,,,,,,,,, +,Neocinnamomum delavayi,,48179,1958,福建,2150,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00011542.jpg,,,,,,,,,, +,Neocinnamomum mekongense,,,,,,,,,,,,,,,,,,, +新型兰,Neogyna gardneriana,税玉民,陈文红等,82778,20081229,云南,1800,林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1394106.jpg,,,,,,,,,, +新型兰,Neogyna gardneriana,孙航,周浙昆等,2956,19930117,西藏自治区,1350,on slope,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0024068.jpg,,,,,,,,,, +新型兰,Neogyna gardneriana,H.T.Tsai,55556,19340321,云南省 ,0~1700,,herb,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0637103.jpg,,,,,,,,,, +粉叶新木姜子,Neolitsea aurata var. glauca,"李渤生,程树志",1346,19821021,西藏自治区,2400,常绿阔叶林中常见高大乔木,,无花有果,https://image.cvh.ac.cn/files/l/PE/00698188.jpg,,,,,,,,,, +粉叶新木姜子,Neolitsea aurata var. glauca,Cheng et Hwa,668,19480000,湖北,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2003440.jpg,,,,,,,,,, +粉叶新木姜子,Neolitsea aurata var. glauca,杨衔晋/Y.C.Yang,3267,19380528,重庆市,,mt.slope,tree,无花无果,https://image.cvh.ac.cn/files/l/PE/00935899.jpg,,,,,,,,,, +,Neolitsea cassia,C.Niyomdham,1101,1986-01-,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0073723.jpg,,,,,,,,,, +金毛新木姜子,Neolitsea chrysotricha,湘西考察队,693,19840902,湖南省,580,潮湿坡地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00836805.jpg,,,,,,,,,, +金毛新木姜子,Neolitsea chrysotricha,,2690,19740920,西藏自治区,2400,杂木林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00701680.jpg,,,,,,,,,, +金毛新木姜子,Neolitsea chrysotricha,武素功,8104,19640000,云南省,2500,山谷,常绿,阔叶林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0173690.jpg,,,,,,,,,, +,Neolitsea conigemma,"李渤生,程树志",4582,19830510,西藏自治区,700~800,半常绿雨林中二层乔木,,无花无果,https://image.cvh.ac.cn/files/l/PE/00701576.jpg,,,,,,,,,, +,Neolitsea cuipala,陈又生,10-3402,20101216,,1300,evergreen forests,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967674.jpg,,,,,,,,,, +,Neolitsea cuipala,"李渤生,程树志",213,19820818,西藏自治区,2200~2600,常绿阔叶林内,,无花无果,https://image.cvh.ac.cn/files/l/PE/00698216.jpg,,,,,,,,,, +,Neolitsea foliosa,,,,,,,,,,,,,,,,,,, +团花新木姜子,Neolitsea homilantha,中越考察队,168,1964-12-,,1630,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0073472.jpg,,,,,,,,,, +团花新木姜子,Neolitsea homilantha,G.Forrest,9524,1913,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0000417.jpg,,,,,,,,,, +,Neolitsea homilantha,于胜祥、张晓霞、周洪志、等,451031130805014LY,20130805,广西,1430,灌丛,林缘,红壤,灌木,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0192518.jpg,,,,,,,,,, +大叶新木姜子,Neolitsea levinei,林文豹,669,19580724,湖北省,,山坡松栎林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00480818.jpg,,,,,,,,,, +大叶新木姜子,Neolitsea levinei,刘正宇等,S-0882,20160511,重庆,820,沟边,乔木,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0052090.jpg,,,,,,,,,, +大叶新木姜子,Neolitsea levinei,平乐县普查队,450330181107035LY,20181107,广西,295,阔叶林,路旁,黄棕壤,少野生,乔木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00412115.jpg,,,,,,,,,, +,Neolitsea levinei var. tibetica,,,,,,,,,,,,,,,,,,, +灰白新木姜子,Neolitsea pallens,张卢水、陈春林、李家亮,SUZLS02147,20180514,四川,2087,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1559777.jpg,,,,,,,,,, +,Neolitsea pallens,邹惠渝,108,19800423,福建,210,山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2003611.jpg,,,,,,,,,, +灰白新木姜子,Neolitsea pallens,鞠文彬,邓亨宁 ,HGX13495,20130915,四川省,,路边,乔木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0233474.jpg,,,,,,,,,, +多果新木姜子,Neolitsea polycarpa,H.T.Tsai,51719,19330209,云南,1800,in ravine,,有花无果,https://image.cvh.ac.cn/files/l/PE/01815250.jpg,,,,,,,,,, +多果新木姜子,Neolitsea polycarpa,聂敏祥,6197,1958-11-,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0063865.jpg,,,,,,,,,, +多果新木姜子,Neolitsea polycarpa,Poilane,13093,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00935902.jpg,,,,,,,,,, +,Neolitsea sanjappae,,,,,,,,,,,,,,,,,,, +四川新木姜子,Neolitsea sutchuanensis,生态室高原组,15511,19800911,西藏自治区,2350~2400,林下时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/02073049.jpg,,,,,,,,,, +四川新木姜子,Neolitsea sutchuanensis,"张志松,张永田",4863,19600622,贵州省,1700,山坡密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01283723.jpg,,,,,,,,,, +,Neolitsea sutchuanensis,何海、杜阳平、王海峰、刘芙蓉,HY0485,20180823,四川,1961,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0289705.jpg,,,,,,,,,, +尖唇鸟巢兰,Neottia acuminata,金效华,X.H.Jin-S-23,20071022,四川,3236,林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1394109.jpg,,,,,,,,,, +尖唇鸟巢兰,Neottia acuminata,郎楷永,822,1978.08.,河南,1000,,,有花无果,https://image.cvh.ac.cn/files/l/HENU/0450450.jpg,,,,,,,,,, +尖唇鸟巢兰,Neottia acuminata,应俊生等,674,1991/8/13,陕西,2530,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0478941.jpg,,,,,,,,,, +,Neottia alternifolia,,,,,,,,,,,,,,,,,,, +,Neottia bicallosa,,,,,,,,,,,,,,,,,,, +,Neottia confusa,,,,,,,,,,,,,,,,,,, +,Neottia dihangensis,,,,,,,,,,,,,,,,,,, +,Neottia divaricata,,,,,,,,,,,,,,,,,,, +高山鸟巢兰,Neottia listeroides,白龙江考察队,884,19980727,甘肃省,2100,山地 山谷 疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537253.jpg,,,,,,,,,, +高山鸟巢兰,Neottia listeroides,何叶琪,3660,1959/6/30,甘肃,2200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0157577.jpg,,,,,,,,,, +高山鸟巢兰,Neottia listeroides,"张挺, 郭永杰, 吴之坤, 姜虹, 李贵能",16CS12626,20160818,四川,3635,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1452046.jpg,,,,,,,,,, +毛脉对叶兰,Neottia longicaulis,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201512,20200805,西藏,2549,竹林中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508537.jpg,,,,,,,,,, +毛脉对叶兰,Neottia longicaulis,刘成;张挺;姜虹;左政裕;李昌洪,19CS18031,20190720,四川,2440,次生林间开阔灌草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551504.jpg,,,,,,,,,, +,Neottia megalochila,,,,,,,,,,,,,,,,,,, +,Neottia milinensis,,,,,,,,,,,,,,,,,,, +西藏对叶兰,Neottia pinetorum,魏来、郝加琛,15463,20150729,西藏,3700,山坡草地,草本,,https://image.cvh.ac.cn/files/l/BNU/0025967.jpg,,,,,,,,,, +西藏对叶兰,Neottia pinetorum,刘成,马梁梁,付小刚,20CS19580,20200710,四川,2815,沟边林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506290.jpg,,,,,,,,,, +大花对叶兰,Neottia wardii,刘正宇,2035961,20030420,贵州省,1400,杂木林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0017861.jpg,,,,,,,,,, +大花对叶兰,Neottia wardii,张挺,刘成,左政裕,姜虹,李昌洪,19CS18356,20190715,四川,2532,云杉林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506421.jpg,,,,,,,,,, +,Neottianthe camptoceras,,,,,,,,,,,,,,,,,,, +,Neottianthe compacta,,,,,,,,,,,,,,,,,,, +,Neottianthe oblonga,,,,,,,,,,,,,,,,,,, +,Neottianthe ovata,,,,,,,,,,,,,,,,,,, +,Nepeta coerulescens,,,,,,,,,,,,,,,,,,, +,Nepeta dentata,,,,,,,,,,,,,,,,,,, +,Nepeta hemsleyana,,,,,,,,,,,,,,,,,,, +,Nepeta jomdaensis,,,,,,,,,,,,,,,,,,, +,Nepeta membranifolia,,,,,,,,,,,,,,,,,,, +,Nepeta sessilis,,,,,,,,,,,,,,,,,,, +,Nepeta souliei,,,,,,,,,,,,,,,,,,, +,Nepeta stewartiana,,,,,,,,,,,,,,,,,,, +,Nepeta sungpanensis,,,,,,,,,,,,,,,,,,, +,Nepeta taxkorganica,,,,,,,,,,,,,,,,,,, +,Nepeta tenuiflora,,,,,,,,,,,,,,,,,,, +,Nepeta veitchii,,,,,,,,,,,,,,,,,,, +,Nepeta wilsonii,,,,,,,,,,,,,,,,,,, +,Nepeta yanthina,,,,,,,,,,,,,,,,,,, +,Nepeta zandaensis,,,,,,,,,,,,,,,,,,, +,Nephelaphyllum cordifolium,,,,,,,,,,,,,,,,,,, +,Nephelaphyllum pulchrum var. sikkimensis,,,,,,,,,,,,,,,,,,, +长叶肾蕨,Nephrolepis biserrata,王金英,吕燕玲,林泽彬,WJY0608,20190716,福建,43~201.3,栽植,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/XMBG/XMBG0008925.jpg,,,,,,,,,, +长叶肾蕨,Nephrolepis biserrata,冯国楣,21695,19580323,云南省,200,河旁密林中密阴,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01192141.jpg,,,,,,,,,, +长叶肾蕨,Nephrolepis biserrata,刘慎谔,11137,19390306,陕西省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01192106.jpg,,,,,,,,,, +毛叶肾蕨,Nephrolepis brownii,韦宏金,JSL7535,20191218,海南,~720,土生;常见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431991.jpg,,,,,,,,,, +毛叶肾蕨,Nephrolepis brownii,严岳鸿、金摄郎、王莹、朱晓凤,WYD502,20140814,广东省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0082406.jpg,,,,,,,,,, +毛叶肾蕨,Nephrolepis brownii,王金英,吕燕玲,林泽彬,WJY0607,20190716,福建,43~201.3,栽植,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/XMBG/XMBG0008926.jpg,,,,,,,,,, +,Nephrolepis cordifolia,H.Akiyama etc.,1089,19971011,云南省,1300,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1223857.jpg,,,,,,,,,, +肾蕨,Nephrolepis cordifolia,苏享修,CSH13964,20161102,福建,67,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0138034.jpg,,,,,,,,,, +肾蕨,Nephrolepis cordifolia,,359,,浙江省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00158240.jpg,,,,,,,,,, +广布芋兰,Nervilia aragoana,,8458,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01720352.jpg,,,,,,,,,, +广布芋兰,Nervilia aragoana,红水河植物考察队,1755,19890529,云南省,1350,石灰岩杂林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989309.jpg,,,,,,,,,, +广布芋兰,Nervilia aragoana,倪芝瑜,9566,19840504,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0035805.jpg,,,,,,,,,, +,Nervilia gammieana,,,,,,,,,,,,,,,,,,, +,Nervilia hookeriana,,,,,,,,,,,,,,,,,,, +,Nervilia infundibulifolia,,,,,,,,,,,,,,,,,,, +,Nervilia juliana,,,,,,,,,,,,,,,,,,, +七角叶芋兰,Nervilia mackinnonii,Xiaohua Jin,16174,20150805,云南省,1600~1900,conifer forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233134.jpg,,,,,,,,,, +七角叶芋兰,Nervilia mackinnonii,安明态,518,20010503,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032964.jpg,,,,,,,,,, +七角叶芋兰,Nervilia mackinnonii,HK kadoorie PT,835,20010500,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01989312.jpg,,,,,,,,,, +,Nervilia macroglossa,,,,,,,,,,,,,,,,,,, +,Nomocharis meleagrina,,,,,,,,,,,,,,,,,,, +,Nomocharis pardanthina,,,,,,,,,,,,,,,,,,, +假百合,Notholirion bulbuliferum,郭本兆,1708,19520716,陕西省,2900,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00330483.jpg,,,,,,,,,, +假百合,Notholirion bulbuliferum,Handel-Mazzetti,9534,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00022966.jpg,,,,,,,,,, +假百合,Notholirion bulbuliferum,陈晓澄等,3048B,20120813,青海,3410,路边-河边灌丛,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00021887.jpg,,,,,,,,,, +钟花假百合,Notholirion campanulatum,金效华,YN-ET 1531,20090716,云南省,3950,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01944899.jpg,,,,,,,,,, +钟花假百合,Notholirion campanulatum,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0510,20130806,西藏自治区,4131,灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000325.jpg,,,,,,,,,, +钟花假百合,Notholirion campanulatum,彭玉兰,涂卫国,幸福,GaoXF-0399,20080720,四川,4069,高山栎灌木丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1392054.jpg,,,,,,,,,, +大叶假百合,Notholirion macrophyllum,张挺,郭永杰,刘成等,10CS2247,20100805,四川,3272,"Roadside, SW-facing bank, 30° slope",,,https://image.cvh.ac.cn/files/l/KUN/1392058.jpg,,,,,,,,,, +大叶假百合,Notholirion macrophyllum,昆明植物所,488,197008,云南省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/223920.jpg,,,,,,,,,, +大叶假百合,Notholirion macrophyllum,J.F.Rock,16653,28-Jul,四川; SZECHWAN,4300,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00022969.jpg,,,,,,,,,, +西藏白苞芹,Nothosmyrnium xizangense,PE西藏队,PE6422,20170911,西藏自治区,2969,山谷林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330298.jpg,,,,,,,,,, +西藏白苞芹,Nothosmyrnium xizangense,陈晓澄等,6543,20140810,西藏,3258,灌木林和针叶林,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00021261.jpg,,,,,,,,,, +,Notochaete longiaristata,,,,,,,,,,,,,,,,,,, +澜沧羌活,Notopterygium forrestii,武素功,3581,19591029,四川省,2000,江边,阳坡,松栗林下,,,https://image.cvh.ac.cn/files/l/KUN/1292749.jpg,,,,,,,,,, +澜沧羌活,Notopterygium forrestii,陈世龙、高庆波、张发起等,Chensl-1802,20110827,青海,2650,灌丛,直立草本,有花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019388.jpg,,,,,,,,,, +澜沧羌活,Notopterygium forrestii,G.Forrest,13342,19140900,云南省,3333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033261.jpg,,,,,,,,,, +羽苞羌活,Notopterygium pinnatiinvolucellum,溥发鼎等,90061,1990-9 2,四川省,3400,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172417.jpg,,,,,,,,,, +白睡莲,Nymphaea alba,,,19830525,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0045410.jpg,,,,,,,,,, +,Nymphaea alba,张娆挺,377,19840217,福建省,,,水生草本,无花无果,https://image.cvh.ac.cn/files/l/AU/007236.jpg,,,,,,,,,, +白睡莲,Nymphaea alba,,s.n.,19390000,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00951444.jpg,,,,,,,,,, +红睡莲,Nymphaea alba var. rubra,张丽萍,奚亚,19092048,20190916,安徽,16,静水池塘,多年生水生草本,无花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00042546.jpg,,,,,,,,,, +红睡莲,Nymphaea alba var. rubra,贺士元,,19610502,北京,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0045414.jpg,,,,,,,,,, +红睡莲,Nymphaea alba var. rubra,邓洪平,CS4032,20080626,贵州,600,栽培,草本,有花无果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0000650.jpg,,,,,,,,,, +,Nymphaea nouchali,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180369,20191125,Mon State,,,Herb,有花无果,https://image.cvh.ac.cn/files/l/KUN/1498511.jpg,,,,,,,,,, +,Nymphaea nouchali,J.Lovett cet.,1431,19870204,,1830,Growing in water.Leaves floating on surface,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0175581.jpg,,,,,,,,,, +星花睡莲,Nymphaea nouchali,,1017,19590830,安徽省,,,水生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00312126.jpg,,,,,,,,,, +红花聒莲,Nymphaea rubra,王学文,273,19841023,广东省,,花池水中,挺水植物,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00036587.jpg,,,,,,,,,, +睡莲,Nymphaea tetragona,王战等,1588,19510727,内蒙古自治区,600,河边水泡中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00951477.jpg,,,,,,,,,, +野生睡莲,Nymphaea tetragona,钟济新,808252,19500612,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00012723.jpg,,,,,,,,,, +睡莲,Nymphaea tetragona,陈峥玲等,AU01480,20170710,福建,1418,路边,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU082403.jpg,,,,,,,,,, +显脉鸢尾兰,Oberonia acaulis,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T261,20160917,西藏自治区,1594,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233041.jpg,,,,,,,,,, +绿春鸢尾兰,Oberonia acaulis,Jin Xiaohua,11835,20111101,云南省,1800~2300,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032941.jpg,,,,,,,,,, +显脉鸢尾兰,Oberonia acaulis,李剑武,3609,20130921,云南,1400,人工林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028545.jpg,,,,,,,,,, +,Oberonia acaulis var. latipetala,,,,,,,,,,,,,,,,,,, +长裂鸢尾兰,Oberonia anthropophora,F.C.How,72573,19350524,海南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00523202.jpg,,,,,,,,,, +长裂鸢尾兰,Oberonia anthropophora,李剑武,1644,20120721,云南,680,沟谷密林中树上附生,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027723.jpg,,,,,,,,,, +,Oberonia arunachalensis,,,,,,,,,,,,,,,,,,, +,Oberonia bopannae,,,,,,,,,,,,,,,,,,, +狭叶鸢尾兰,Oberonia caulescens,,827,,湖南省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0637156.jpg,,,,,,,,,, +狭叶鸢尾兰,Oberonia caulescens,,23409,19340703,广西壮族自治区,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0637160.jpg,,,,,,,,,, +狭叶鸢尾兰,Oberonia caulescens,刘全儒,SNJ018,20140824,湖北省,,山顶岩石处,草,,https://image.cvh.ac.cn/files/l/BNU/0018796.jpg,,,,,,,,,, +,Oberonia cavaleriei,中植联广西队,2947,20080820,广西壮族自治区,850,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032939.jpg,,,,,,,,,, +,Oberonia cavaleriei,"Cavalerie, J.",1904,4-Nov,,,,,,https://image.cvh.ac.cn/files/l/E/E00383569.jpg,,,,,,,,,, +棒叶鸢尾兰,Oberonia cavaleriei,盘波,汤亚飞,段云博,GXIBPB108B02,20200515,广西,630,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1501150.jpg,,,,,,,,,, +,Oberonia emarginata,,,,,,,,,,,,,,,,,,, +剑叶鸢尾兰,Oberonia ensiformis,金效华,399,20000800,贵州省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01866748.jpg,,,,,,,,,, +剑叶鸢尾兰,Oberonia ensiformis,黄儒忠,3-22061,19770608,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI048542.jpg,,,,,,,,,, +剑叶鸢尾兰,Oberonia ensiformis,胡启和,仇亚,周英,张绍云,YNS0677,20100103,云南,960,公路边,附生,,https://image.cvh.ac.cn/files/l/KUN/1394122.jpg,,,,,,,,,, +,Oberonia falcata,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T196,20160915,西藏自治区,1524,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233073.jpg,,,,,,,,,, +,Oberonia falcata,"Jin XH,Wang LS,Wang Q etc.",ST0137,20130716,云南省,1700~2100,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032943.jpg,,,,,,,,,, +短耳鸢尾兰,Oberonia falconeri,F.A.McClure,8173,19211110,海南省,500,grassy on tree in pasine,,无花有果,https://image.cvh.ac.cn/files/l/PE/00523146.jpg,,,,,,,,,, +短耳鸢尾兰,Oberonia falconeri,王启无,78121,19350000,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00558851.jpg,,,,,,,,,, +短耳鸢尾兰,Oberonia falconeri,黄连山科研所,HLS0400,20120108,云南,,石岩,,,https://image.cvh.ac.cn/files/l/KUN/1394128.jpg,,,,,,,,,, +齿瓣鸢尾兰,Oberonia gammiei,金效华,5221,20031016,海南,200~500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825310.jpg,,,,,,,,,, +齿瓣鸢尾兰,Oberonia gammiei,张维柱,147,19891011,云南省,560,林中树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850165.jpg,,,,,,,,,, +鸢尾,Oberonia gammiei,刘佳,20104522,20100525,贵州省,1309,树下,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0003195.jpg,,,,,,,,,, +,Oberonia helferi,,,,,,,,,,,,,,,,,,, +条裂鸢尾兰,Oberonia jenkinsiana,中苏队,5621,19570303,云南省,1520,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230242.jpg,,,,,,,,,, +条裂鸢尾兰,Oberonia jenkinsiana,"吉占和,孟文江",28,19771100,海南省,1000,树上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00523151.jpg,,,,,,,,,, +条裂鸢尾兰,Oberonia jenkinsiana,亚吉东、黄莉、何华杰,15CS11271,20151025,云南,1616,杂木林下,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1394129.jpg,,,,,,,,,, +,Oberonia jhae,,,,,,,,,,,,,,,,,,, +,Oberonia kamlangensis,,,,,,,,,,,,,,,,,,, +广西鸢尾兰,Oberonia kwangsiensis,孙航,周浙昆等,3133,19930128,西藏自治区,800,in forest,,有果无花,https://image.cvh.ac.cn/files/l/KUN/432006.jpg,,,,,,,,,, +,Oberonia kwangsiensis,C. Wang,40915,,,,,,,https://image.cvh.ac.cn/files/l/HUH/AMES00101976.jpg,,,,,,,,,, +广西鸢尾兰,Oberonia kwangsiensis,北京队,890656,19890430,广西壮族自治区,700,山沟附生林干上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989253.jpg,,,,,,,,,, +拟阔瓣鸢尾兰,Oberonia langbianensis,李剑武,1784,20120901,云南,1200,常绿阔叶林中树上,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027799.jpg,,,,,,,,,, +阔瓣鸢尾兰,Oberonia latipetala,金效华,7948,20050903,云南省,1970,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526100.jpg,,,,,,,,,, +阔瓣鸢尾兰,Oberonia latipetala,李剑武,2299,20120927,云南,1700,常绿阔叶林,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028035.jpg,,,,,,,,,, +,Oberonia latipetala,J. F. Rock,7117,1924/10/21,,,,,,https://image.cvh.ac.cn/files/l/HUH/AMES00101977.jpg,,,,,,,,,, +长苞鸢尾兰,Oberonia longibracteata,金效华,5001,20030921,海南省,1002~1500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825313.jpg,,,,,,,,,, +长苞鸢尾兰,Oberonia longibracteata,李泽贤等,4019,19880427,海南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0637181.jpg,,,,,,,,,, +长苞鸢尾兰,Oberonia longibracteata,金效华,5001,20030921,海南,1002~1500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825313.jpg,,,,,,,,,, +小花鸢尾兰,Oberonia mannii,武孜队,1943,19800909,福建省,650,林阴下树干上,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00558898.jpg,,,,,,,,,, +小花鸢尾兰,Oberonia mannii,金效华,13043,20120503,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032916.jpg,,,,,,,,,, +小花鸢尾兰,Oberonia mannii,金效华,9027,20070628,云南,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825306.jpg,,,,,,,,,, +,Oberonia maxima,,,,,,,,,,,,,,,,,,, +,Oberonia mucronata,,,,,,,,,,,,,,,,,,, +橘红鸢尾兰,Oberonia obcordata,"李渤生,程树志",1494,19821026,西藏自治区,1800,林下,石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00523185.jpg,,,,,,,,,, +扁葶鸢尾兰,Oberonia pachyrachis,金效华,8688,20061026,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825314.jpg,,,,,,,,,, +扁葶鸢尾兰,Oberonia pachyrachis,"李渤生,李辉",14149,19901009,西藏自治区,2000,常绿阔叶林中树上偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506903.jpg,,,,,,,,,, +扁葶鸢尾兰,Oberonia pachyrachis,亚吉东、黄莉、何华杰,15CS11287,20151026,云南,1532,路边杂木林,多年生附生草本,,https://image.cvh.ac.cn/files/l/KUN/1394132.jpg,,,,,,,,,, +,Oberonia prainiana,,,,,,,,,,,,,,,,,,, +,Oberonia pumilio,,,,,,,,,,,,,,,,,,, +裂唇鸢尾兰,Oberonia pyrulifera,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T194,20160915,西藏自治区,1524,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233072.jpg,,,,,,,,,, +裂唇鸢尾兰,Oberonia pyrulifera,Jin Xiaohua,11696,20111005,云南省,1700,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032944.jpg,,,,,,,,,, +裂唇鸢尾兰,Oberonia pyrulifera,金效华,X.H.Jin8982,20070516,云南,2253,林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1394133.jpg,,,,,,,,,, +,Oberonia recurva,,,,,,,,,,,,,,,,,,, +红唇鸢尾兰,Oberonia rufilabris,黄云峰、黄颖锋,HYF0810,20100821,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0097081.jpg,,,,,,,,,, +红唇鸢尾兰,Oberonia rufilabris,黄志,36825,19340116,海南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0637180.jpg,,,,,,,,,, +红唇鸢尾兰,Oberonia rufilabris,"吉占和,孟文江",35,19771100,广东省,1000,林中树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00523142.jpg,,,,,,,,,, +,Odontochilus brevistylis,,,,,,,,,,,,,,,,,,, +,Odontochilus clarkei,,,,,,,,,,,,,,,,,,, +,Odontochilus crispus,,,,,,,,,,,,,,,,,,, +西南齿唇兰,Odontochilus elwesii,秦仁昌,428,,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00558895.jpg,,,,,,,,,, +西南齿唇兰,Odontochilus elwesii,,165,0,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/432062.jpg,,,,,,,,,, +西南齿唇兰,Odontochilus elwesii,"刘恩德,王存花,邹娇,张步云",LED9724,20200712,云南,1285,石灰岩山林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1511294.jpg,,,,,,,,,, +,Odontochilus grandiflorus,,,,,,,,,,,,,,,,,,, +双囊齿唇兰,Odontochilus lanceolatus,秦仁昌; R.C. Ching,7088,1928/9/9,广西; KWANGSI,3800,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028277.jpg,,,,,,,,,, +齿爪齿唇兰,Odontochilus poilanei,李健玲、邹春玉、黄金全,GPS190816015,20190816,广西,~,山坡,林下,黄壤;少见,腐生草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00434496.jpg,,,,,,,,,, +,Odontochilus tortus,,,,,,,,,,,,,,,,,,, +乌蕨,Odontosoria chinensis,标本室,447,19631023,江苏省,,紫霞洞沟上路旁,,,https://image.cvh.ac.cn/files/l/IBK/IBK00325774.jpg,,,,,,,,,, +,Odontosoria chinensis,H.C.Chao,,19530630,福建省,,,,无孢子囊,https://image.cvh.ac.cn/files/l/AU/AU051264.jpg,,,,,,,,,, +乌蕨,Odontosoria chinensis,金摄郎、商辉、莫日根高娃、罗俊杰,JSL5636,20170813,安徽,417.5,疏林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0152482.jpg,,,,,,,,,, +,Ohbaea balfourii,,,,,,,,,,,,,,,,,,, +,Olea laxiflora,,,,,,,,,,,,,,,,,,, +,Oleandra neriiformis,M.Ogata,,19310918,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02102193.jpg,,,,,,,,,, +,Oleandra neriiformis,W. MEIJER,9473A,19750423,台湾省,1000~1300,,,,https://image.cvh.ac.cn/files/l/PE/00019212.jpg,,,,,,,,,, +,Oleandra neriiformis,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-1108-T05-003052,20171129,西藏,2942,Coniferous forest,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1451803.jpg,,,,,,,,,, +高山蓧蕨,Oleandra wallichii,齐新萍,Q077,20081002,云南省,1750,树干上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01857844.jpg,,,,,,,,,, +高山条蕨,Oleandra wallichii,张书东,何华杰,81161,20080916,西藏,,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1435134.jpg,,,,,,,,,, +高山蓧蕨,Oleandra wallichii,N.Formosa,s.n.,,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01192318.jpg,,,,,,,,,, +钟状独花报春,Omphalogramma brachysiphon,"洪德元,马欣堂,王强",H12015,20120804,西藏自治区,3900,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913952.jpg,,,,,,,,,, +钟状独花报春,Omphalogramma brachysiphon,秦仁昌,20592,19390601,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/484092.jpg,,,,,,,,,, +,Omphalogramma forrestii,K.M.Feng,6284,19400801,云南省,3800~3900,草坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01946697.jpg,,,,,,,,,, +中甸独花报春,Omphalogramma forrestii,Joseph F.Rock,34641,19320400,云南省 ,4500,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048025.jpg,,,,,,,,,, +,Omphalogramma forrestii,"Forrest, George",10666,13-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00024828.jpg,,,,,,,,,, +小独花报春,Omphalogramma minus,,80,19800512,四川,4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715702175.jpg,,,,,,,,,, +小独花报春,Omphalogramma minus,Joseph F.Rock,23263,19320800,云南省 ,4500,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048027.jpg,,,,,,,,,, +小独花报春,Omphalogramma minus,王启无,63187,19350500,云南省,3300,Grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205331.jpg,,,,,,,,,, +长柱独花报春,Omphalogramma souliei,Joseph F.Rock,22971,19320500,云南省 ,4500,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048028.jpg,,,,,,,,,, +长柱独花报春,Omphalogramma souliei,茂汶组,2517,1959-6 1,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0111225.jpg,,,,,,,,,, +,Omphalogramma souliei,"Forrest, George",16327,18-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00024830.jpg,,,,,,,,,, +,Omphalogramma tibeticum,"李渤生,程树志",5626,19830720,西藏自治区,3800,高山Betnla林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081210.jpg,,,,,,,,,, +西藏独花报春,Omphalogramma tibeticum,张挺,张书东,郭永杰,13CS7597,20130526,西藏,3772,,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1395844.jpg,,,,,,,,,, +,Omphalogramma tibeticum,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13141,11-Jun-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00024843.jpg,,,,,,,,,, +,Omphalogramma vinciflorum,J.F.Rock,16087,19280600,四川省,3050~4875,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205332.jpg,,,,,,,,,, +,Omphalogramma vinciflorum,Yuan Xu,Xu130053,20130529,云南省 ,0,亚高山草甸灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769963.jpg,,,,,,,,,, +独花报春,Omphalogramma vinciflorum,方震东、海仙、谢爱芳,DJDC-608,20160621,云南省,3903,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000042.jpg,,,,,,,,,, +腺花滇紫草,Onosma adenopus,姜恕等,9408,19610714,四川省,3300,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111284.jpg,,,,,,,,,, +,Onosma adenopus,,,,,,,,,,,,,,,,,,, +,Onosma adenopus,何毅、黄体冉,BNU2018SC146,20180719,西藏,,路边干旱山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043615.jpg,,,,,,,,,, +白花滇紫草,Onosma album,中甸队,2139,19620917,云南省,3000,山坡疏林中石砾中或砂地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354591.jpg,,,,,,,,,, +,Onosma album,"Forrest, George",11188,13-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00284691.jpg,,,,,,,,,, +团花滇紫草,Onosma glomeratum,杨金祥,2288,19630825,西藏自治区,3700,山坡砂地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/02013804.jpg,,,,,,,,,, +团花滇紫草,Onosma glomeratum,朱鑫鑫等,ZXX201718,20200813,西藏,3761,沙地上,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0054893.jpg,,,,,,,,,, +,Onosma liui,,9355,19750719,四川省,3400,路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648918.jpg,,,,,,,,,, +马尔康滇紫草,Onosma maaikangense,青藏科考队,12099,19760702,西藏自治区,3800,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354704.jpg,,,,,,,,,, +马尔康滇紫草,Onosma maaikangense,李馨,71250,19570604,四川省,2640,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354702.jpg,,,,,,,,,, +,Onosma maaikangense,何毅 黄体冉,BNU2018SC120,20180718,西藏,,山坡锦鸡儿、藏沙蒿灌丛,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043704.jpg,,,,,,,,,, +川西滇紫草,Onosma mertensioides,Harry Smith,12002,19340910,四川省,3700,"versus,in duriprato",,无花有果,https://image.cvh.ac.cn/files/l/PE/01361385.jpg,,,,,,,,,, +,Onosma mertensioides,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-021-B18,20160807,四川,,高山栎群落中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609845.jpg,,,,,,,,,, +,Onosma mertensioides,H. Stevens,483,29-Jun,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00015222.jpg,,,,,,,,,, +,Onosma multiramosum,何毅、刘丹辉,BNU2018YN156,20180811,西藏,,荒山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043563.jpg,,,,,,,,,, +,Onosma multiramosum,"Kingdon-Ward, Francis",492,1913,,,,,,https://image.cvh.ac.cn/files/l/E/E00284684.jpg,,,,,,,,,, +多枝滇紫草,Onosma multiramosum,北京所横断山队,3040,19810816,云南省,2100~2200,江边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354715.jpg,,,,,,,,,, +囊谦滇紫草,Onosma nangqienense,杨永昌,1549,19650826,青海省,3550,滑塌处阳坡新风?的灰色板页岩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029733.jpg,,,,,,,,,, +小叶滇紫草,Onosma sinicum,李永江,70,19900612,四川省,1600,干热河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020502.jpg,,,,,,,,,, +小叶滇紫草,Onosma sinicum,"李全世,,赵兴存",2579,19640816,甘肃省,900,江?公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020501.jpg,,,,,,,,,, +,Onosma sinicum,,,,,,,,,,,,,,,,,,, +丛茎滇紫草,Onosma waddellii,PE西藏队,PE5018,20170824,西藏自治区,3522,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330584.jpg,,,,,,,,,, +丛茎滇紫草,Onosma waddellii,,1970,19740726,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02020496.jpg,,,,,,,,,, +丛茎滇紫草,Onosma waddellii,刘丹辉 许雪敏,BNU2019XZ395,20190610,西藏,3528,,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0054916.jpg,,,,,,,,,, +西藏滇紫草,Onosma waltonii,PE西藏队,PE6580,20170913,西藏自治区,4260,干旱山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330577.jpg,,,,,,,,,, +,Onosma waltonii,,,,,,,,,,,,,,,,,,, +德钦滇紫草,Onosma wardii,杨竞生,91-268,19910610,四川省,3500,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111273.jpg,,,,,,,,,, +德钦滇紫草,Onosma wardii,王汉臣,1573,19411100,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354794.jpg,,,,,,,,,, +,Onosma wardii,"Kingdon-Ward, F.",902,26-Jul-13,,,,,,https://image.cvh.ac.cn/files/l/E/E00712703.jpg,,,,,,,,,, +雅江滇紫草,Onosma yajiangense,杨竞生,88-20,19880819,云南省,,公路56K,,无花无果,https://image.cvh.ac.cn/files/l/PE/02020510.jpg,,,,,,,,,, +雅江滇紫草,Onosma yajiangense,田效文,138,19840822,四川省,3200,灌丛草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020509.jpg,,,,,,,,,, +,Onosma yajiangense,何毅、黄体冉,BNU2018SC233,20180724,四川,,江边石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043566.jpg,,,,,,,,,, +察隅滇紫草,Onosma zayuense,于胜祥等,5557,20110815,西藏自治区,3730,沿途路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956064.jpg,,,,,,,,,, +,Onosma zayuense,何毅、刘丹辉,BNU2018YN261,20180812,西藏,,山坡栎-锦鸡儿灌丛,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043581.jpg,,,,,,,,,, +黑足金粉蕨,Onychium cryptogrammoides,张代贵,170408022,20120922,湖南湘西州,,山谷疏林,草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU62255.jpg,,,,,,,,,, +黑足金粉蕨,Onychium cryptogrammoides,余奇,代文台,CIBYQ084B001,20190810,四川,2722,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1503676.jpg,,,,,,,,,, +黑足金粉蕨,Onychium cryptogrammoides,PE西藏队,PE6019,20170906,西藏自治区,2935,山谷林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01891866.jpg,,,,,,,,,, +野雉尾金粉蕨,Onychium japonicum,裘佩喜,2199,19580822,福建省,,阴处 岩石上 路边 潮湿地 灌木丛中下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00576715.jpg,,,,,,,,,, +野雉尾金粉蕨,Onychium japonicum,张迅,522230190928007LY,20190928,贵州,440,灌丛、湿生、耐阴、中温、碱土、野生植物,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0101899.jpg,,,,,,,,,, +野雉尾金粉蕨,Onychium japonicum,张代贵,20080923049,20080923,湖南湘西州,,阴湿地石壁上,蕨类,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU26138.jpg,,,,,,,,,, +栗柄金粉蕨,Onychium japonicum var. lucidum,金摄郎、张九兵,JSL-WLSQ 172,20131030,湖南,,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0141170.jpg,,,,,,,,,, +栗柄金粉蕨,Onychium japonicum var. lucidum,金摄郎、顾钰峰、朱晓凤,BJZ002,20130723,广西省,107,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0046050.jpg,,,,,,,,,, +,Onychium japonicum var. lucidum,Tsang W.T.,20906,19321102,广东省,,shady soil meadow,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00576953.jpg,,,,,,,,,, +金粉蕨,Onychium siliculosum,程堂仁,张强英,郭治友等,H-黔丹寨-Z-0455,20101103,贵州,935,林下,草本,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00074010.jpg,,,,,,,,,, +金粉蕨,Onychium siliculosum,贺乐,60713059,20060713,湖南省,,林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU19135.jpg,,,,,,,,,, +金粉蕨,Onychium siliculosum,刘正宇,70662,20070817,重庆市,670,山地路旁土坎上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0002614.jpg,,,,,,,,,, +西藏金粉蕨,Onychium tibeticum,,1531,19740628,西藏自治区,2050,大桥附近沟谷 杂木林中,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00577169.jpg,,,,,,,,,, +西藏金粉蕨,Onychium tibeticum,李中阳 梁振龙,DJL128,20171007,云南,,路边林下土坡较湿,,有孢子囊,https://image.cvh.ac.cn/files/l/GNNU/GNNU0013861.jpg,,,,,,,,,, +西藏金粉蕨,Onychium tibeticum,韦宏金,JSL6950,20190406,西藏,~2047,土生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431414.jpg,,,,,,,,,, +,Ophioglossum nudicaule,"夏群,马义伦",235,19820725,四川省,,河边草地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01384292.jpg,,,,,,,,,, +,Ophioglossum nudicaule,A.N.Steward,2324,19220615,江苏省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00405280.jpg,,,,,,,,,, +小叶瓶尓小草,Ophioglossum nudicaule,刘正宇,16915,19960511,重庆市,650,溪边竹林下,小草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0001065.jpg,,,,,,,,,, +心脏叶瓶尓小草,Ophioglossum reticulatum,吴磊、刘文剑、邓创发,10191,20200512,湖南,400~500,山谷密林,直立草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSFI/CSFI069642.jpg,,,,,,,,,, +心脏叶瓶尔小草,Ophioglossum reticulatum,D.E.Boufford et al.,26440,19940603,河南省,1250~1350,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01595354.jpg,,,,,,,,,, +心脏叶瓶尔小草,Ophioglossum reticulatum,徐养鹏,959,1963/7/19,甘肃省,1300,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0215388.jpg,,,,,,,,,, +瓶尔小草,Ophioglossum vulgatum,马元俊,212,19740529,湖北省,1600,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0099760.jpg,,,,,,,,,, +瓶尔小草,Ophioglossum vulgatum,傅坤俊,5803,19520913,陕西省,1300,岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00405342.jpg,,,,,,,,,, +瓶尓小草,Ophioglossum vulgatum,张贵志 蔡磊,1106407,20110630,湖南省,540,路边,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSFI/CSFI060804.jpg,,,,,,,,,, +沿阶草,Ophiopogon bodinieri,巴山采集队,519,20080707,重庆市,1080,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860839.jpg,,,,,,,,,, +沿阶草,Ophiopogon bodinieri,刘淼等,A100020,20060622,安徽省,900,生于山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01798211.jpg,,,,,,,,,, +沿阶草,Ophiopogon bodinieri,白水江考察队,1292,20060706,甘肃省,1400,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823367.jpg,,,,,,,,,, +长丝沿阶草,Ophiopogon clarkei,,53698,,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00036156.jpg,,,,,,,,,, +长丝沿阶草,Ophiopogon clarkei,王清泉,20338,1979-7 1,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0165536.jpg,,,,,,,,,, +长丝沿阶草,Ophiopogon clarkei,生态室高原组,10684,19800628,西藏自治区,2200,林缘石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376484.jpg,,,,,,,,,, +褐鞘沿阶草,Ophiopogon dracaenoides,邓云飞等,10542,19970425,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01595782.jpg,,,,,,,,,, +褐鞘沿阶草,Ophiopogon dracaenoides,荔浦县普查队,450331181110027LY,20181110,广西,461,阔叶林,路旁,黄棕壤,一般野生,草本,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00416462.jpg,,,,,,,,,, +褐鞘沿阶草,Ophiopogon dracaenoides,邱英雄;朱珊珊;卢瑞森;冯钰,ZJUQYX006B14,20170907,云南,1562,山谷溪流旁,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1509550.jpg,,,,,,,,,, +间型沿阶草,Ophiopogon intermedius,"刘林翰,何观州",15288,1962/10/22,湖南,1550,,披散草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0258483.jpg,,,,,,,,,, +间型沿阶草,Ophiopogon intermedius,J.F.Rock,16277,28-Jun,四川; SZECHWAN,2435,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00023852.jpg,,,,,,,,,, +间型沿阶草,Ophiopogon intermedius,PE西藏考察队,7904,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331842.jpg,,,,,,,,,, +泸水沿阶草,Ophiopogon lushuiensis,北京植物所 横断山队,208,19810529,云南省,2400,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00291419.jpg,,,,,,,,,, +大花沿阶草,Ophiopogon megalanthus,税玉民,2051,19930418,云南省,1900,石块类生地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01570468.jpg,,,,,,,,,, +大花沿阶草,Ophiopogon megalanthus,北京队,896258,19890906,广西壮族自治区,,山坡、林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017719.jpg,,,,,,,,,, +大花沿阶草,Ophiopogon megalanthus,蔡杰,刘恩德,郭永杰,13CS7649,20130530,西藏,2380,河谷公路边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1396617.jpg,,,,,,,,,, +墨托沿阶草,Ophiopogon motouensis,青藏队植被组,2976,19740831,西藏自治区,1700,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01532897.jpg,,,,,,,,,, +滇西沿阶草,Ophiopogon yunnanensis,北京植物所横断山队,449,19810606,云南省,1700,两岸 沟谷 丛林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01146131.jpg,,,,,,,,,, +独龙蛇根草,Ophiorrhiza dulongensis,武素功,8081,19640715,云南省,2300,山谷次生林新木林缘,,有果无花,https://image.cvh.ac.cn/files/l/KUN/355565.jpg,,,,,,,,,, +独龙蛇根草,Ophiorrhiza dulongensis,青藏队,3953,19740803,西藏自治区,2250,山坡常绿阔叶混交林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/355571.jpg,,,,,,,,,, +,Ophiorrhiza laevifolia,,,,,,,,,,,,,,,,,,, +长萼蛇根草,Ophiorrhiza medogensis,青藏队,5072,19740910,西藏自治区,1720,山坡 阔叶林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00808294.jpg,,,,,,,,,, +长萼蛇根草,Ophiorrhiza medogensis,"刘成, 亚吉东",18CS17206,20181118,西藏,1545,次生林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486754.jpg,,,,,,,,,, +长萼蛇根草,Ophiorrhiza medogensis,雅鲁藏布江考察队、杨永、刘冰、林秦文、赖阳均,1049,20121020,西藏省,,林下,草本,,https://image.cvh.ac.cn/files/l/BNU/0018156.jpg,,,,,,,,,, +,Oreocharis cinnamomea,,,,,,,,,,,,,,,,,,, +,Oreocharis cordatula,,,,,,,,,,,,,,,,,,, +,Oreocharis delavayi,,,,,,,,,,,,,,,,,,, +,Oreocharis eximia,,,,,,,,,,,,,,,,,,, +,Oreocharis forrestii,,,,,,,,,,,,,,,,,,, +,Oreocharis georgei,,,,,,,,,,,,,,,,,,, +,Oreocharis glandulosa,,,,,,,,,,,,,,,,,,, +,Oreocharis leucantha,,,,,,,,,,,,,,,,,,, +,Oreocharis minor,,,,,,,,,,,,,,,,,,, +,Oreocharis primuliflora,,,,,,,,,,,,,,,,,,, +,Oreocharis sichuanica,,,,,,,,,,,,,,,,,,, +,Oreocharis urceolata,,,,,,,,,,,,,,,,,,, +,Oreorchis angustata,,,,,,,,,,,,,,,,,,, +,Oreorchis erythrochrysea,,,,,,,,,,,,,,,,,,, +,Oreorchis foliosa,张泽云,周洪富,22985,19570712,四川省,0~2650,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0637305.jpg,,,,,,,,,, +,Oreorchis foliosa,"Jin Xiaohua,Jin Weitao,Xu Songzhi",13183,20120728,西藏自治区,3600~3700,subtropical evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02025150.jpg,,,,,,,,,, +,Oreorchis foliosa,T.T.Yu,19135,19370623,云南省 ,0~1860,,herb perennial,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0637304.jpg,,,,,,,,,, +,Oreorchis foliosa var. indica,,,,,,,,,,,,,,,,,,, +狭叶山兰,Oreorchis micrantha,青藏队植被组,138,19740626,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485259.jpg,,,,,,,,,, +狭叶山兰,Oreorchis micrantha,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19269,20200624,西藏,2672,林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489309.jpg,,,,,,,,,, +,Oreorchis nana,,,,,,,,,,,,,,,,,,, +,Oreorchis nepalensis,,,,,,,,,,,,,,,,,,, +,Oreorchis parvula,,,,,,,,,,,,,,,,,,, +山兰,Oreorchis patens,陈彦生、吴振海、黎斌、孙建钊,4759,2006/10/12,陕西省,1100,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0502874.jpg,,,,,,,,,, +山兰,Oreorchis patens,张代贵,zdg6519,20090615,湖北神农架,,生于林下,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU50474.jpg,,,,,,,,,, +山兰,Oreorchis patens,邱莲卿,4420,1965/7/1,吉林,1160,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0312192.jpg,,,,,,,,,, +,Oreorchis yachangensis,,,,,,,,,,,,,,,,,,, +四川固沙草,Orinus anomala,西藏中草药普查队,2061,19721006,西藏自治区,4100,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/29226.jpg,,,,,,,,,, +鸡爪草,Orinus anomala,岳伟,苏旭,王玉金,LiuJQ-2011-WYJ-185,20110918,西藏,4542,温带灌丛坡地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1402954.jpg,,,,,,,,,, +鸡爪草,Orinus anomala,岳伟,苏旭,王玉金,LiuJQ-2011-WYJ-074,20110910,青海,4119,温带灌丛平地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1402953.jpg,,,,,,,,,, +青海固沙草,Orinus kokonorica,汤宗孝,1928,19830913,四川省,1500,山坡草丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00584565.jpg,,,,,,,,,, +青海固沙草,Orinus kokonorica,,2077,19641004,甘肃省,2500,阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00584553.jpg,,,,,,,,,, +,Orinus kokonorica,,,,,,,,,,,,,,,,,,, +,Orinus tibeticus,,,,,,,,,,,,,,,,,,, +羽唇兰,Ornithochilus difformis,C.W.Wang,73464,19360800,云南省 ,0~1900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0637314.jpg,,,,,,,,,, +,Ornithochilus difformis,P.J.Chau K.C.Luo Y.B. et al,ASBK387,19970505,广西壮族自治区,600,forest on slope of limestone hill,,无花无果,https://image.cvh.ac.cn/files/l/PE/01989242.jpg,,,,,,,,,, +羽唇兰,Ornithochilus difformis,李剑武,2685,20121029,云南,1500,松林下,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028232.jpg,,,,,,,,,, +,Orobanche megalantha,,,,,,,,,,,,,,,,,,, +,Orobanche mupinensis,,,,,,,,,,,,,,,,,,, +,Orobanche sinensis,,,,,,,,,,,,,,,,,,, +香鳞始蕨,Osmolindsaea odorata,雷开东,4.33E+15,20150305,湖南省,604,,,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU12410.jpg,,,,,,,,,, +香鳞始蕨,Osmolindsaea odorata,罗金龙、冯贵祥,127,20170401,湖南,760~950,湿壁,,无孢子囊,https://image.cvh.ac.cn/files/l/CSFI/CSFI069464.jpg,,,,,,,,,, +,Osmolindsaea odorata,"张宪春,郭志友,向巧萍等",7304,20150427,贵州省,500~700,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02067211.jpg,,,,,,,,,, +紫萁,Osmunda japonica,,920,19831010,河南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01396595.jpg,,,,,,,,,, +紫萁,Osmunda japonica,巴山采集队,6143,20120706,陕西省,610~953,林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02059851.jpg,,,,,,,,,, +紫萁,Osmunda japonica,张代贵,80605010,20080605,湖南湘西州,,林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU24420.jpg,,,,,,,,,, +滇虎榛,Ostryopsis nobilis,,,,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0369395.jpg,,,,,,,,,, +滇虎榛,Ostryopsis nobilis,"朱鑫鑫, 林庶, 胡梦杰",ZXX191134,20190908,云南,2350,亚热带针阔混交林,山坡灌丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484976.jpg,,,,,,,,,, +滇虎榛,Ostryopsis nobilis,青藏队,1676,19810701,四川省,2950,金沙江东岸 山脊 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062297.jpg,,,,,,,,,, +白花耳唇兰,Otochilus albus,亚吉东、刘成、付超男、莫明忠,15CS11101,20150624,云南,1788,常绿阔叶林林缘,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1394151.jpg,,,,,,,,,, +白花耳唇兰,Otochilus albus,金效华,9053,20070712,云南省,2107,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825324.jpg,,,,,,,,,, +白花耳唇兰,Otochilus albus,王崇杰,665,19981015,西藏自治区,1200~3500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01866596.jpg,,,,,,,,,, +狭叶耳唇兰,Otochilus fuscus,"李渤生,程树志",2275,19821220,西藏自治区,2100,松林中石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00850760.jpg,,,,,,,,,, +狭叶耳唇兰,Otochilus fuscus,金效华,8968,20070510,云南省,1951,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825325.jpg,,,,,,,,,, +狭叶耳唇兰,Otochilus fuscus,张挺,王建军,杨茜,王立彦,SCSB-B-000419,20070515,云南,1762,常绿阔叶林林中,附生草本,,https://image.cvh.ac.cn/files/l/KUN/1394153.jpg,,,,,,,,,, +宽叶耳唇兰,Otochilus lancilabius,生态室高原组,11413,19800727,西藏自治区,1900,附生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01446149.jpg,,,,,,,,,, +宽叶耳唇兰,Otochilus lancilabius,"S.K.Wu,L.H.Liu,Y.M.Shui etc.",4399,19961019,云南省,1150,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033568.jpg,,,,,,,,,, +宽叶耳唇兰,Otochilus lancilabius,胡启和,趙强,周英,张绍云,YNS0755,20100129,云南,1234,公路边,直立草本、附生,,https://image.cvh.ac.cn/files/l/KUN/1394158.jpg,,,,,,,,,, +耳唇兰,Otochilus porrectus,王清泉、刘志安等,22636,1980-7 8,四川省,1100,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0171586.jpg,,,,,,,,,, +耳唇兰,Otochilus porrectus,"刘成, 亚吉东",18CS17289,20181125,西藏,1675,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1482767.jpg,,,,,,,,,, +耳唇兰,Otochilus porrectus,刘恩德,彭华等,3456,20120222,云南省 ,1690,upon tree on bark,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227527.jpg,,,,,,,,,, +尼古草,Ottelia alismoides,"潘明清,罗闰良",86-018,19870630,湖北省,,水沟中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109899.jpg,,,,,,,,,, +尼古草,Ottelia alismoides,,756,19080531,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01483413.jpg,,,,,,,,,, +龙舌草,Ottelia alismoides,陈念劬,43825,19320912,海南岛,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00135839.jpg,,,,,,,,,, +,Oxygraphis delavayi,彭玉兰、涂卫国、幸福,Gaoxf0210,20080716,四川,4005,高草甸,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0206892.jpg,,,,,,,,,, +脱萼鸦跖花,Oxygraphis delavayi,俞德浚,19862,19380810,云南,4000,Alpine grassyland,,有花无果,https://image.cvh.ac.cn/files/l/KUN/398998.jpg,,,,,,,,,, +脱萼鸦跖花,Oxygraphis delavayi,Delavay,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00054131.jpg,,,,,,,,,, +,Oxygraphis tenuifolia,"Forrest, George",10632,13-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00438800.jpg,,,,,,,,,, +小鸦跖花,Oxygraphis tenuifolia,,360,19780821,四川,4000,,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM704603408.jpg,,,,,,,,,, +小鸦跖花,Oxygraphis tenuifolia,罗建等,LuoJian-XZ-0904,20090610,西藏自治区,4267,高山灌丛,草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01898986.jpg,,,,,,,,,, +,Oxytropis auriculata,,,,,,,,,,,,,,,,,,, +,Oxytropis avisoides,,,,,,,,,,,,,,,,,,, +,Oxytropis baxoiensis,,,,,,,,,,,,,,,,,,, +,Oxytropis biflora,,,,,,,,,,,,,,,,,,, +,Oxytropis brevipedunculata,,,,,,,,,,,,,,,,,,, +,Oxytropis densiflora,,,,,,,,,,,,,,,,,,, +,Oxytropis falcata,,,,,,,,,,,,,,,,,,, +,Oxytropis gerzeensis,,,,,,,,,,,,,,,,,,, +,Oxytropis guinanensis,,,,,,,,,,,,,,,,,,, +,Oxytropis latialata,,,,,,,,,,,,,,,,,,, +,Oxytropis linearibracteata,,,,,,,,,,,,,,,,,,, +,Oxytropis longialata,,,,,,,,,,,,,,,,,,, +,Oxytropis maduoensis,,,,,,,,,,,,,,,,,,, +,Oxytropis maqinensis,,,,,,,,,,,,,,,,,,, +,Oxytropis ochrolongibracteata,,,,,,,,,,,,,,,,,,, +,Oxytropis parasericeopetata,,,,,,,,,,,,,,,,,,, +,Oxytropis proboscidea,,,,,,,,,,,,,,,,,,, +,Oxytropis pseudoncoerulea,,,,,,,,,,,,,,,,,,, +,Oxytropis pusilla,,,,,,,,,,,,,,,,,,, +,Oxytropis qilianshanica,,,,,,,,,,,,,,,,,,, +,Oxytropis qinghaiensis,,,,,,,,,,,,,,,,,,, +,Oxytropis qingnanensis,,,,,,,,,,,,,,,,,,, +,Oxytropis reniformis,,,,,,,,,,,,,,,,,,, +,Oxytropis sericopetala,,,,,,,,,,,,,,,,,,, +,Oxytropis sichuanica,,,,,,,,,,,,,,,,,,, +,Oxytropis subpodoloba,,,,,,,,,,,,,,,,,,, +,Oxytropis yunnanensis,,,,,,,,,,,,,,,,,,, +,Oyama globosa,黄向旭、钟智波,15945,20130611,西藏自治区,0~2655,山地、路旁、山谷,乔木,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0774821.jpg,,,,,,,,,, +毛叶天女花,Oyama globosa,刀志灵;蔡磊;杨静;张品;杨佳俊;姚刚;葛佳,KIBDZL052B06,20171017,云南,3100,铁杉、石栎针叶阔叶混交林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1561832.jpg,,,,,,,,,, +,Oyama sinensis,"张树仁,陈淑荣,朗校安等",1999,20140616,四川省,1920~2300,山谷 山坡 林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021761.jpg,,,,,,,,,, +圆叶天女花,Oyama sinensis,鞠文彬,陈德奎,AZH00620,20151007,四川,1677,溪边林下,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0236623.jpg,,,,,,,,,, +拉萨厚棱芹,Pachypleurum lhasanum,张永田 郎楷永,2270,19650831,西藏自治区,4600,山坡草地,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00935534.jpg,,,,,,,,,, +拉萨厚棱芹,Pachypleurum lhasanum,陈晓澄等,5710,20140804,西藏,3603,沼泽草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019403.jpg,,,,,,,,,, +拉萨厚棱芹,Pachypleurum lhasanum,溥发鼎,328,1984-9 1,四川省,4300,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093879.jpg,,,,,,,,,, +木里厚棱芹,Pachypleurum muliense,赵清盛、牟克华、杨亚滨,7569,1978-8 1,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172286.jpg,,,,,,,,,, +聂拉木厚棱芹,Pachypleurum nyalamense,汤宗孝,1051,19810913,云南省,,石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01629667.jpg,,,,,,,,,, +聂拉木厚棱芹,Pachypleurum nyalamense,"李渤生,李辉,多吉次旦",13063A,19900815,西藏自治区,4400~4900,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196060.jpg,,,,,,,,,, +聂拉木厚棱芹,Pachypleurum nyalamense,魏来、郝加琛,15285,20150726,西藏,4164,路边河滩,草本,,https://image.cvh.ac.cn/files/l/BNU/0028034.jpg,,,,,,,,,, +粉口兰,Pachystoma pubescens,F.A. McClure,,1922/4/4,海南; HAINAN,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00029246.jpg,,,,,,,,,, +粉口兰,Pachystoma pubescens,,8480,19360000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01720684.jpg,,,,,,,,,, +粉口兰,Pachystoma pubescens,"张志松,张永田",1567,19600414,贵州省,800,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00523903.jpg,,,,,,,,,, +全缘叶稠李,Padus integrifolia,青藏队,6959,19750717,西藏自治区,3100,山坡流水沟旁,乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/01432756.jpg,,,,,,,,,, +,Paeonia decomposita,,,,,,,,,,,,,,,,,,, +,Paeonia delavayi,,,,,,,,,,,,,,,,,,, +,Paeonia ludlowii,,,,,,,,,,,,,,,,,,, +,Paeonia sterniana,,,,,,,,,,,,,,,,,,, +灯笼草,Palhinhaea cernua,刘全儒,孟世勇,GXGS037,20090203,广西省,73,路边,,,https://image.cvh.ac.cn/files/l/BNU/0021135.jpg,,,,,,,,,, +垂穗石松,Palhinhaea cernua,罗金龙、冯贵祥,129,20170402,湖南,450~650,石壁,,有孢子囊,https://image.cvh.ac.cn/files/l/CSFI/CSFI068031.jpg,,,,,,,,,, +,Palhinhaea cernua,刘正宇,易思荣,901037,19990507,重庆,,路边,草本,有孢子囊,https://image.cvh.ac.cn/files/l/NAS/NAS00610506.jpg,,,,,,,,,, +,Pandanus martinianus,,,,,,,,,,,,,,,,,,, +,Pandanus urophyllus,,1753,19070917,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01445246.jpg,,,,,,,,,, +分叉露兜,Pandanus urophyllus,郭永杰,唐培洵,金永明,张娅婕,13CS7767,20130824,云南,1422,,乔木,,https://image.cvh.ac.cn/files/l/KUN/1393517.jpg,,,,,,,,,, +,Panisea demissa,,,,,,,,,,,,,,,,,,, +,Panisea panchaseensis,,,,,,,,,,,,,,,,,,, +曲唇兰,Panisea tricallosa,左景烈,陈念劬,44243,19321107,海南省 ,0~1818,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0631687.jpg,,,,,,,,,, +曲唇兰,Panisea tricallosa,杨龙,98-012,19981025,贵州省,1180,,,无花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0006181.jpg,,,,,,,,,, +曲唇兰,Panisea tricallosa,彭玉德、李金花、莫连兰,451031141027046LY,20141027,广西,,灌丛,林缘,石灰土,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0191773.jpg,,,,,,,,,, +云南曲唇兰,Panisea yunnanensis,HK kadoorie PT,2057,20010700,云南省,1100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867002.jpg,,,,,,,,,, +云南曲唇兰,Panisea yunnanensis,"刘成, 亚吉东",18CS17153,20181109,西藏,2008,林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486627.jpg,,,,,,,,,, +云南曲唇兰,Panisea yunnanensis,K.M. Feng (冯国楣),13278,19471115,云南,1300-1500,on tree in mixed forests on rock mt.,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0024923.jpg,,,,,,,,,, +,Paphiopedilum fairrieanum,,,,,,,,,,,,,,,,,,, +硬叶兜兰,Paphiopedilum micranthum,魏升华,705020801,20070502,贵州,,路旁,草本,无花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0009549.jpg,,,,,,,,,, +硬叶兜兰,Paphiopedilum micranthum,邬文祥,8706,19890515,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00586139.jpg,,,,,,,,,, +硬叶兜兰,Paphiopedilum micranthum,环江县普查队,451226130828015LY,20130828,广西,476,阔叶林,草本,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0113759.jpg,,,,,,,,,, +秀丽兜兰,Paphiopedilum venustum,Xiaohua Jin,14866,20150120,西藏自治区,,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233138.jpg,,,,,,,,,, +秀丽兜兰,Paphiopedilum venustum,方震东,885,19880707,云南省,3450,针落叶混交林下,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003809.jpg,,,,,,,,,, +彩云兜兰,Paphiopedilum wardii,邬文祥,9048,19910512,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00586141.jpg,,,,,,,,,, +凤蝶兰,Papilionanthe teres,,s.n.,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0631765.jpg,,,,,,,,,, +凤蝶兰,Papilionanthe teres,秦姣,张伟,Qinjiao5,20170701,云南,,附生于树上,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1513875.jpg,,,,,,,,,, +,Papilionanthe teres,金效华,8084,20060309,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033312.jpg,,,,,,,,,, +,Papilionanthe uniflora,,,,,,,,,,,,,,,,,,, +,Papilionanthe vandarum,,,,,,,,,,,,,,,,,,, +,Paraceterach bipinnata,,,,,,,,,,,,,,,,,,, +,Paraceterach vestita,,,,,,,,,,,,,,,,,,, +耳羽金毛裸蕨,Paragymnopteris bipinnata var. auriculata,C.W.Wang,68148,19350801,云南省,3200,Mountin slope,,有孢子囊,https://image.cvh.ac.cn/files/l/WUK/WUK0043120.jpg,,,,,,,,,, +,Paragymnopteris bipinnata var. auriculata,万涛等,FSB-782,20130709,四川省,,沿路,,无花无果,https://image.cvh.ac.cn/files/l/PE/01994393.jpg,,,,,,,,,, +耳叶金毛裸蕨,Paragymnopteris bipinnata var. auriculata,北师大队,LS0816034,20190816,河北,510,,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0049893.jpg,,,,,,,,,, +滇西金毛裸蕨,Paragymnopteris delavayi,曾波,,19970520,贵州,,,,有孢子囊,https://image.cvh.ac.cn/files/l/GNUG/GNUG0007939.jpg,,,,,,,,,, +,Paragymnopteris delavayi,"张宪春,蒋日红,黄尔峰",9004,20170823,四川省,2900,石壁上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234487.jpg,,,,,,,,,, +滇西金毛裸蕨,Paragymnopteris delavayi,卢金梅,LuJM234,20070813,云南,3090,,,,https://image.cvh.ac.cn/files/l/KUN/1405882.jpg,,,,,,,,,, +,Paragymnopteris marantae,"张宪春,蒋日红,黄尔峰",8816,20170816,四川省,2700,院墙石缝中,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234317.jpg,,,,,,,,,, +,Paragymnopteris marantae,"赵存峰,张中帅",54,20150823,西藏自治区,3700~3800,针叶林下山坡石壁上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02084790.jpg,,,,,,,,,, +,Paragymnopteris marantae,胡君、王东超、李丽、唐露,SC-a-090-B15,20180814,西藏,,高山栎群落中,土生蕨类,有孢子囊,https://image.cvh.ac.cn/files/l/NAS/NAS00608281.jpg,,,,,,,,,, +,Paragymnopteris sargentii,余奇、熊先华、李琳霖,THP-KD-4989,20170815,四川省,1687~1736,前溪卫生院,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252875.jpg,,,,,,,,,, +,Paragymnopteris sargentii,余奇、熊先华、李琳霖,THP-KD-4989,20170815,四川,1687~1736,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252874.jpg,,,,,,,,,, +三角金毛裸蕨,Paragymnopteris sargentii,商辉、刘红梅、刘恩旭,SG448,20140922,甘肃省,,,,无孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0039159.jpg,,,,,,,,,, +光叶拟单性木兰,Parakmeria nitida,Wang & Liu,8553,19390000,云南,,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2006087.jpg,,,,,,,,,, +光叶拟单性木兰,Parakmeria nitida,王亚玲、周明顺、谭金桂,09-093,20090324,云南省 ,1390,,乔木,,https://image.cvh.ac.cn/files/l/SZG/SZG00009001.jpg,,,,,,,,,, +光叶拟单性木兰,Parakmeria nitida,,551,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00164563.jpg,,,,,,,,,, +翅果蓼,Parapteropyrum tibeticum,FLPH Tibet Expedition,12-1049,,西藏自治区,,雅鲁藏布江旁干旱河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967910.jpg,,,,,,,,,, +,Parapteropyrum tibeticum,罗建,汪书丽,任德智,L041,20100903,西藏,3203,江边沙坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1240509.jpg,,,,,,,,,, +翅果蓼,Parapteropyrum tibeticum,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/077041177.jpg,,,,,,,,,, +,Parasassafras confertiflorum,刘成,王苏化,朱迪恩,李先耀,12CS4336,20120416,云南,2042,木荷、茶梨次生林林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1320664.jpg,,,,,,,,,, +,Parasenecio cyclotus,胡君、王东超、李丽、刘晓芬、李永龙、唐璐、思亮、刘方方,SC-a-052-B36,20180724,四川,,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610084.jpg,,,,,,,,,, +轮叶蟹甲草,Parasenecio cyclotus,康藏植物考察队,10-2510,20100821,云南省,3310,云杉,桦树林缘灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052617.jpg,,,,,,,,,, +轮叶蟹甲草,Parasenecio cyclotus,,6260,,湖南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846437.jpg,,,,,,,,,, +三角叶蟹甲草,Parasenecio deltophyllus,,376,19500800,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846485.jpg,,,,,,,,,, +三角叶蟹甲草,Parasenecio deltophyllus,P.Licent S.J.,4732,19180821,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846495.jpg,,,,,,,,,, +三角叶蟹甲草,Parasenecio deltophyllus,熊惠江,520203140928LY,20140928,贵州省,1239.1,野生植物、阔叶林,多年生草本植物,有花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0032154.jpg,,,,,,,,,, +戟状蟹甲草,Parasenecio hastiformis,秦仁昌/R.C.Ching,30626,19390918,云南省,3500,By streams in open situation,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846662.jpg,,,,,,,,,, +戟状蟹甲草,Parasenecio hastiformis,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191406,20190921,云南,3551,亚热带针阔混交林,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484569.jpg,,,,,,,,,, +,Parasenecio hastiformis,R. C. Ching,30626,1939/9/18,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00124592.jpg,,,,,,,,,, +九龙蟹甲草,Parasenecio jiulongensis,应俊生,4823,19601015,四川省,,云杉 林下,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00846672.jpg,,,,,,,,,, +,Parasenecio jiulongensis,王乾、顾健,SCW0620,20190824,四川,3757,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0267288.jpg,,,,,,,,,, +阔柄蟹甲草,Parasenecio latipes,"朱鑫鑫, 林庶, 胡梦杰",ZXX191219,20190911,云南,2590,亚热带针叶林,林中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486165.jpg,,,,,,,,,, +阔柄蟹甲草,Parasenecio latipes,陈又生,8056,20080815,云南省,2600,Grassy slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113541.jpg,,,,,,,,,, +阔柄蟹甲草,Parasenecio latipes,,74307,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846745.jpg,,,,,,,,,, +,Parasenecio lidjiangensis,"Forrest, George",6646,10-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00417087.jpg,,,,,,,,,, +丽江蟹甲草,Parasenecio lidjiangensis,余奇、熊先华、李琳霖,THP-KD-4069,20170812,四川,3471~3577,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250678.jpg,,,,,,,,,, +丽江蟹甲草,Parasenecio lidjiangensis,"杨亲二,孔宏智",s.n.,19980930,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776576.jpg,,,,,,,,,, +长穗蟹甲草,Parasenecio longispicus,"关克俭,王文采等",2230,19630902,四川省,2000,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846830.jpg,,,,,,,,,, +长穗蟹甲草,Parasenecio longispicus,鲁道旺,522222160728009LY,20160728,贵州省,781,灌丛,中生,阳性,钙质土,中温,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0056508.jpg,,,,,,,,,, +茂汶蟹甲草,Parasenecio maowenensis,四川植物采集队,11049,19750817,四川省,2750,山沟向阳处,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00846831.jpg,,,,,,,,,, +掌裂蟹甲草,Parasenecio palmatisectus,康藏植物考察队,10-2624,20100822,云南省,3146,山谷侧山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053492.jpg,,,,,,,,,, +掌裂蟹甲草,Parasenecio palmatisectus,"覃海宁,董仕勇,康云等",375,20010811,西藏自治区,3500,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01717795.jpg,,,,,,,,,, +,Parasenecio palmatisectus,"Monbeig, Jean-Théodore (Abbé/Père)",151,,,,,,,https://image.cvh.ac.cn/files/l/E/E00417081.jpg,,,,,,,,,, +玉龙蟹甲草,Parasenecio rockianus,"杨亲二,孔宏智",98-413,19980915,云南省,4200,林下灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01717317.jpg,,,,,,,,,, +,Parasenecio rockianus,"Rock, Joseph Francis Charles",59986,22-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00430086.jpg,,,,,,,,,, +川西蟹甲草,Parasenecio souliei,陈又生,9609,20090826,四川省,3774,山谷花楸、忍冬和蔷薇灌丛下草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053365.jpg,,,,,,,,,, +川西蟹甲草,Parasenecio souliei,姜恕等,6235,19600717,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00847285.jpg,,,,,,,,,, +,Parasenecio souliei,余奇、熊先华、李琳霖,THP-KD-4798,20170813,四川,3177~3217,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251937.jpg,,,,,,,,,, +金星蕨 ,Parathelypteris glanduligera,谭策铭,94477,19940601,江西省,70,杉木人工林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032804.jpg,,,,,,,,,, +金星蕨 ,Parathelypteris glanduligera,"张宪春,刘以诚",5928,20090806,重庆市,1100,灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032799.jpg,,,,,,,,,, +金星蕨 ,Parathelypteris glanduligera,巴山采集队,6032,20120629,四川省,1320,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02059720.jpg,,,,,,,,,, +,Paris dulongensis,,,,,,,,,,,,,,,,,,, +,Paris forrestii,Henry,5380,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00036260.jpg,,,,,,,,,, +长柱重楼,Paris forrestii,"郭永杰, 张桥蓉",17CS14581,20170411,西藏,1576,公路上方灌丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445045.jpg,,,,,,,,,, +长柱重楼,Paris forrestii,H.T.Tsai,55914,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0646284.jpg,,,,,,,,,, +重楼属,Paris japonica,"周卓,李彦波,孙露,张成,阳亿",ZJW-3919,20150910,西藏自治区,2538,林缘、常绿阔叶林下,,,https://image.cvh.ac.cn/files/l/KUN/1274320.jpg,,,,,,,,,, +,Paris japonica,独龙江考察队,5329,19910329,云南省,1540,稀树高草群落中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/301538.jpg,,,,,,,,,, +,Paris japonica,"李启和,陈策",860,19590514,江西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00291093.jpg,,,,,,,,,, +毛叶重楼,Paris mairei,王启无,68215,19350000,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0348305.jpg,,,,,,,,,, +,Paris mairei,西南师范学院生物系,2508,19590509,重庆市,1800,中山,山腰,小路旁,沙埌土,,有花无果,https://image.cvh.ac.cn/files/l/PE/00291109.jpg,,,,,,,,,, +毛重楼,Paris mairei,刀志灵,陈哲,DZL-022,20070927,云南,3080,高山针阔混交林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1392650.jpg,,,,,,,,,, +,Paris marmorata,青藏队,5618,19750607,西藏自治区,2400,山坡阔叶林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00036269.jpg,,,,,,,,,, +花叶重楼,Paris marmorata,刘正宇,18618,19960429,重庆市,1200,溪边林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0016866.jpg,,,,,,,,,, +花叶重楼,Paris marmorata,易思荣,16460,19960423,重庆,1920,林下,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00617298.jpg,,,,,,,,,, +七叶一枝花,Paris polyphylla,山西队,552,19540719,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01567087.jpg,,,,,,,,,, +滇重楼,Paris polyphylla,吴征镒,李恒,90417,19900709,纽芬兰,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0348740.jpg,,,,,,,,,, +七叶一枝花,Paris polyphylla,白水江采集队,3842,20070502,甘肃省,1100,山坡林下阴湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823379.jpg,,,,,,,,,, +狭叶重楼,Paris polyphylla var. stenophylla,,H(4),19820903,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01469170.jpg,,,,,,,,,, +狭叶重楼,Paris polyphylla var. stenophylla,J.A. Soulie,213,,西藏; Tibet,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00023709.jpg,,,,,,,,,, +狭叶重楼,Paris polyphylla var. stenophylla,王明川,YBG0006,20140523,贵州,,路旁、草坡,草本,无花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0003549.jpg,,,,,,,,,, +黑籽重楼,Paris thibetica,中苏调查队,7-Apr,19550622,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0646631.jpg,,,,,,,,,, +长药隔重楼,Paris thibetica,陈之端等,960051,19960513,重庆市,2100,damp valley,,无花无果,https://image.cvh.ac.cn/files/l/PE/01570405.jpg,,,,,,,,,, +黑籽重楼,Paris thibetica,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00011774.jpg,,,,,,,,,, +北重楼,Paris verticillata,Tanglingyu,12981,19860530,江苏省,800,桦木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867584.jpg,,,,,,,,,, +北重楼,Paris verticillata,Hong De-yuan et al.,34027,19860818,吉林省,1500~1880,"ESE exposed moss rich mixed coniferous forests (with Acer,Betula) dark brown forest soils.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01945449.jpg,,,,,,,,,, +北重楼,Paris verticillata,"曹伟,朱彩霞",217,20030625,辽宁省,,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01945461.jpg,,,,,,,,,, +滇重楼,Paris yunnanensis,纪运恒;刘海洋;余玲玲;杨瑾,JYH2020258,20200928,四川,1687,落叶阔叶林,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1509879.jpg,,,,,,,,,, +,Paris yunnanensis,张建侯,13648,19770319,云南省,0~560,沟谷,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0745472.jpg,,,,,,,,,, +,Paris yunnanensis,,,,,,,,,https://image.cvh.ac.cn/files/l/FJIDC/FJIDC019437.jpg,,,,,,,,,, +,Parnassia angustipetala,,,,,,,,,,,,,,,,,,, +,Parnassia cacuminum,,,,,,,,,,,,,,,,,,, +,Parnassia davidii,,,,,,,,,,,,,,,,,,, +,Parnassia degeensis,,,,,,,,,,,,,,,,,,, +,Parnassia deqenensis,,,,,,,,,,,,,,,,,,, +,Parnassia filchneri,,,,,,,,,,,,,,,,,,, +,Parnassia humilis,,,,,,,,,,,,,,,,,,, +,Parnassia kangdingensis,,,,,,,,,,,,,,,,,,, +,Parnassia labiata,,,,,,,,,,,,,,,,,,, +,Parnassia lanceolata,,,,,,,,,,,,,,,,,,, +,Parnassia leptophylla,,,,,,,,,,,,,,,,,,, +,Parnassia lijiangensis,,,,,,,,,,,,,,,,,,, +,Parnassia longipetala,,,,,,,,,,,,,,,,,,, +,Parnassia lutea,,,,,,,,,,,,,,,,,,, +,Parnassia noemiae,,,,,,,,,,,,,,,,,,, +,Parnassia qinghaiensis,,,,,,,,,,,,,,,,,,, +,Parnassia scaposa,,,,,,,,,,,,,,,,,,, +,Parnassia submysorensis,,,,,,,,,,,,,,,,,,, +,Parnassia subscaposa,,,,,,,,,,,,,,,,,,, +,Parnassia trinervis,,,,,,,,,,,,,,,,,,, +,Parnassia yanyuanensis,,,,,,,,,,,,,,,,,,, +,Parnassia yui,,,,,,,,,,,,,,,,,,, +,Parnassia yulongshanensis,,,,,,,,,,,,,,,,,,, +,Parnassia yunnanensis,,,,,,,,,,,,,,,,,,, +小叶地锦,Parthenocissus chinensis,"姜恕,金存礼",1982,19590717,四川省,1320~1380,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00687738.jpg,,,,,,,,,, +小叶地锦,Parthenocissus chinensis,青藏队,703,19810603,云南省,2550,,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0456502.jpg,,,,,,,,,, +,Parthenocissus chinensis,刘芙蓉、王海峰、李迪,JZG1150,20190422,四川,1423,,藤本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0271671.jpg,,,,,,,,,, +,Patrinia speciosa,,,,,,,,,,,,,,,,,,, +,Patrinia trifoliata,,,,,,,,,,,,,,,,,,, +龙头兰,Pecteilis susannae,北京队,896548,19890922,广西壮族自治区,,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989255.jpg,,,,,,,,,, +龙头兰,Pecteilis susannae,张宏达,4733,,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028713.jpg,,,,,,,,,, +龙头兰,Pecteilis susannae,,6551,19100900,西藏自治区,0~2440,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0631759.jpg,,,,,,,,,, +,Pedicularis aloensis,,,,,,,,,,,,,,,,,,, +,Pedicularis altifrontalis,,,,,,,,,,,,,,,,,,, +,Pedicularis anas,,,,,,,,,,,,,,,,,,, +,Pedicularis angularis,,,,,,,,,,,,,,,,,,, +,Pedicularis angustilabris,,,,,,,,,,,,,,,,,,, +,Pedicularis angustiloba,,,,,,,,,,,,,,,,,,, +,Pedicularis anomala,,,,,,,,,,,,,,,,,,, +,Pedicularis armata,,,,,,,,,,,,,,,,,,, +,Pedicularis aschistorhyncha,,,,,,,,,,,,,,,,,,, +,Pedicularis atroviridis,,,,,,,,,,,,,,,,,,, +,Pedicularis atuntsiensis,,,,,,,,,,,,,,,,,,, +,Pedicularis aurata,,,,,,,,,,,,,,,,,,, +,Pedicularis axillaris,,,,,,,,,,,,,,,,,,, +,Pedicularis batangensis,,,,,,,,,,,,,,,,,,, +,Pedicularis bidentata,,,,,,,,,,,,,,,,,,, +,Pedicularis bietii,,,,,,,,,,,,,,,,,,, +,Pedicularis bomiensis,,,,,,,,,,,,,,,,,,, +,Pedicularis brachycrania,,,,,,,,,,,,,,,,,,, +,Pedicularis brevilabris,,,,,,,,,,,,,,,,,,, +,Pedicularis cephalantha,,,,,,,,,,,,,,,,,,, +,Pedicularis cernua,,,,,,,,,,,,,,,,,,, +,Pedicularis chenocephala,,,,,,,,,,,,,,,,,,, +,Pedicularis chingii,,,,,,,,,,,,,,,,,,, +,Pedicularis cinerascens,,,,,,,,,,,,,,,,,,, +,Pedicularis connata,,,,,,,,,,,,,,,,,,, +,Pedicularis corydaloides,,,,,,,,,,,,,,,,,,, +,Pedicularis corymbifera,,,,,,,,,,,,,,,,,,, +,Pedicularis cranolopha,,,,,,,,,,,,,,,,,,, +,Pedicularis craspedotricha,,,,,,,,,,,,,,,,,,, +,Pedicularis cristatella,,,,,,,,,,,,,,,,,,, +,Pedicularis croizatiana,,,,,,,,,,,,,,,,,,, +,Pedicularis cyathophylla,,,,,,,,,,,,,,,,,,, +,Pedicularis cyathophylloides,,,,,,,,,,,,,,,,,,, +,Pedicularis cyclorhyncha,,,,,,,,,,,,,,,,,,, +,Pedicularis cymbalaria,,,,,,,,,,,,,,,,,,, +,Pedicularis daochengensis,,,,,,,,,,,,,,,,,,, +,Pedicularis daucifolia,,,,,,,,,,,,,,,,,,, +,Pedicularis decorissima,,,,,,,,,,,,,,,,,,, +,Pedicularis deltoidea,,,,,,,,,,,,,,,,,,, +,Pedicularis densispica,,,,,,,,,,,,,,,,,,, +,Pedicularis dichotoma,,,,,,,,,,,,,,,,,,, +,Pedicularis dichrocephala,,,,,,,,,,,,,,,,,,, +,Pedicularis dolichocymba,,,,,,,,,,,,,,,,,,, +,Pedicularis dolichoglossa,,,,,,,,,,,,,,,,,,, +,Pedicularis dolichostachya,,,,,,,,,,,,,,,,,,, +,Pedicularis duclouxii,,,,,,,,,,,,,,,,,,, +,Pedicularis dulongensis,,,,,,,,,,,,,,,,,,, +,Pedicularis dunniana,,,,,,,,,,,,,,,,,,, +,Pedicularis elliotii,,,,,,,,,,,,,,,,,,, +,Pedicularis fastigiata,,,,,,,,,,,,,,,,,,, +,Pedicularis fengii,,,,,,,,,,,,,,,,,,, +,Pedicularis filicula,,,,,,,,,,,,,,,,,,, +,Pedicularis flaccida,,,,,,,,,,,,,,,,,,, +,Pedicularis floribunda,,,,,,,,,,,,,,,,,,, +,Pedicularis forrestiana,,,,,,,,,,,,,,,,,,, +,Pedicularis fragarioides,,,,,,,,,,,,,,,,,,, +,Pedicularis franchetiana,,,,,,,,,,,,,,,,,,, +,Pedicularis galeata,,,,,,,,,,,,,,,,,,, +,Pedicularis geosiphon,,,,,,,,,,,,,,,,,,, +,Pedicularis glabrescens,,,,,,,,,,,,,,,,,,, +,Pedicularis gongshanensis,,,,,,,,,,,,,,,,,,, +,Pedicularis gracilicaulis,,,,,,,,,,,,,,,,,,, +,Pedicularis gracilituba,,,,,,,,,,,,,,,,,,, +,Pedicularis gyirongensis,,,,,,,,,,,,,,,,,,, +,Pedicularis gyrorhyncha,,,,,,,,,,,,,,,,,,, +,Pedicularis habachanensis,,,,,,,,,,,,,,,,,,, +,Pedicularis hemsleyana,,,,,,,,,,,,,,,,,,, +,Pedicularis hirtella,,,,,,,,,,,,,,,,,,, +,Pedicularis humilis,,,,,,,,,,,,,,,,,,, +,Pedicularis inaequilobata,,,,,,,,,,,,,,,,,,, +,Pedicularis infirma,,,,,,,,,,,,,,,,,,, +,Pedicularis ingens,,,,,,,,,,,,,,,,,,, +,Pedicularis insignis,,,,,,,,,,,,,,,,,,, +,Pedicularis kangtingensis,,,,,,,,,,,,,,,,,,, +,Pedicularis kansuensis,,,,,,,,,,,,,,,,,,, +,Pedicularis kariensis,,,,,,,,,,,,,,,,,,, +,Pedicularis kialensis,,,,,,,,,,,,,,,,,,, +,Pedicularis kongboensis,,,,,,,,,,,,,,,,,,, +,Pedicularis lamioides,,,,,,,,,,,,,,,,,,, +,Pedicularis lanpingensis,,,,,,,,,,,,,,,,,,, +,Pedicularis lasiophrys,,,,,,,,,,,,,,,,,,, +,Pedicularis latirostris,,,,,,,,,,,,,,,,,,, +,Pedicularis latituba,,,,,,,,,,,,,,,,,,, +,Pedicularis laxiflora,,,,,,,,,,,,,,,,,,, +,Pedicularis laxispica,,,,,,,,,,,,,,,,,,, +,Pedicularis leptosiphon,,,,,,,,,,,,,,,,,,, +,Pedicularis likiangensis,,,,,,,,,,,,,,,,,,, +,Pedicularis lingelsheimiana,,,,,,,,,,,,,,,,,,, +,Pedicularis longicalyx,,,,,,,,,,,,,,,,,,, +,Pedicularis longipes,,,,,,,,,,,,,,,,,,, +,Pedicularis longipetiolata,,,,,,,,,,,,,,,,,,, +,Pedicularis longistipitata,,,,,,,,,,,,,,,,,,, +,Pedicularis lophotricha,,,,,,,,,,,,,,,,,,, +,Pedicularis macrorhyncha,,,,,,,,,,,,,,,,,,, +,Pedicularis macrosiphon,,,,,,,,,,,,,,,,,,, +,Pedicularis maxonii,,,,,,,,,,,,,,,,,,, +,Pedicularis mayana,,,,,,,,,,,,,,,,,,, +,Pedicularis melampyriflora,,,,,,,,,,,,,,,,,,, +,Pedicularis membranacea,,,,,,,,,,,,,,,,,,, +,Pedicularis metaszetschuanica,,,,,,,,,,,,,,,,,,, +,Pedicularis meteororhyncha,,,,,,,,,,,,,,,,,,, +,Pedicularis micrantha,,,,,,,,,,,,,,,,,,, +,Pedicularis minima,,,,,,,,,,,,,,,,,,, +,Pedicularis minutilabris,,,,,,,,,,,,,,,,,,, +,Pedicularis monbeigiana,,,,,,,,,,,,,,,,,,, +,Pedicularis moupinensis,,,,,,,,,,,,,,,,,,, +,Pedicularis muscoides,,,,,,,,,,,,,,,,,,, +,Pedicularis mussotii,,,,,,,,,,,,,,,,,,, +,Pedicularis mychophila,,,,,,,,,,,,,,,,,,, +,Pedicularis neolatituba,,,,,,,,,,,,,,,,,,, +,Pedicularis nyalamensis,,,,,,,,,,,,,,,,,,, +,Pedicularis nyingchiensis,,,,,,,,,,,,,,,,,,, +,Pedicularis obscura,,,,,,,,,,,,,,,,,,, +,Pedicularis oliveriana,,,,,,,,,,,,,,,,,,, +,Pedicularis orthocoryne,,,,,,,,,,,,,,,,,,, +,Pedicularis paiana,,,,,,,,,,,,,,,,,,, +,Pedicularis paxiana,,,,,,,,,,,,,,,,,,, +,Pedicularis pectinatiformis,,,,,,,,,,,,,,,,,,, +,Pedicularis pentagona,,,,,,,,,,,,,,,,,,, +,Pedicularis petitmenginii,,,,,,,,,,,,,,,,,,, +,Pedicularis pheulpinii,,,,,,,,,,,,,,,,,,, +,Pedicularis pilostachya,,,,,,,,,,,,,,,,,,, +,Pedicularis pinetorum,,,,,,,,,,,,,,,,,,, +,Pedicularis plicata,,,,,,,,,,,,,,,,,,, +,Pedicularis polyodonta,,,,,,,,,,,,,,,,,,, +,Pedicularis praeruptorum,,,,,,,,,,,,,,,,,,, +,Pedicularis princeps,,,,,,,,,,,,,,,,,,, +,Pedicularis przewalskii,,,,,,,,,,,,,,,,,,, +,Pedicularis pseudocephalantha,,,,,,,,,,,,,,,,,,, +,Pedicularis pseudocurvituba,,,,,,,,,,,,,,,,,,, +,Pedicularis pseudoingens,,,,,,,,,,,,,,,,,,, +,Pedicularis pseudomelampyriflora,,,,,,,,,,,,,,,,,,, +,Pedicularis pseudomuscicola,,,,,,,,,,,,,,,,,,, +,Pedicularis pseudosteiningeri,,,,,,,,,,,,,,,,,,, +,Pedicularis pygmaea,,,,,,,,,,,,,,,,,,, +,Pedicularis quxiangensis,,,,,,,,,,,,,,,,,,, +,Pedicularis recurva,,,,,,,,,,,,,,,,,,, +,Pedicularis remotiloba,,,,,,,,,,,,,,,,,,, +,Pedicularis reptans,,,,,,,,,,,,,,,,,,, +,Pedicularis retingensis,,,,,,,,,,,,,,,,,,, +,Pedicularis rhizomatosa,,,,,,,,,,,,,,,,,,, +,Pedicularis rhodotricha,,,,,,,,,,,,,,,,,,, +,Pedicularis rhynchodonta,,,,,,,,,,,,,,,,,,, +,Pedicularis rhynchotricha,,,,,,,,,,,,,,,,,,, +,Pedicularis rizhaoensis,,,,,,,,,,,,,,,,,,, +,Pedicularis roborowskii,,,,,,,,,,,,,,,,,,, +,Pedicularis ruoergaiensis,,,,,,,,,,,,,,,,,,, +,Pedicularis rupicola,,,,,,,,,,,,,,,,,,, +,Pedicularis salicifolia,,,,,,,,,,,,,,,,,,, +,Pedicularis scolopax,,,,,,,,,,,,,,,,,,, +,Pedicularis semitorta,,,,,,,,,,,,,,,,,,, +,Pedicularis sherriffii,,,,,,,,,,,,,,,,,,, +,Pedicularis sima,,,,,,,,,,,,,,,,,,, +,Pedicularis smithiana,,,,,,,,,,,,,,,,,,, +,Pedicularis sorbifolia,,,,,,,,,,,,,,,,,,, +,Pedicularis souliei,,,,,,,,,,,,,,,,,,, +,Pedicularis sphaerantha,,,,,,,,,,,,,,,,,,, +,Pedicularis steiningeri,,,,,,,,,,,,,,,,,,, +,Pedicularis stenocorys,,,,,,,,,,,,,,,,,,, +,Pedicularis stenotheca,,,,,,,,,,,,,,,,,,, +,Pedicularis streptorhyncha,,,,,,,,,,,,,,,,,,, +,Pedicularis stylosa,,,,,,,,,,,,,,,,,,, +,Pedicularis subulatidens,,,,,,,,,,,,,,,,,,, +,Pedicularis superba,,,,,,,,,,,,,,,,,,, +,Pedicularis szetschuanica,,,,,,,,,,,,,,,,,,, +,Pedicularis takpoensis,,,,,,,,,,,,,,,,,,, +,Pedicularis taliensis,,,,,,,,,,,,,,,,,,, +,Pedicularis tapaoensis,,,,,,,,,,,,,,,,,,, +,Pedicularis tatsienensis,,,,,,,,,,,,,,,,,,, +,Pedicularis tayloriana,,,,,,,,,,,,,,,,,,, +,Pedicularis tenacifolia,,,,,,,,,,,,,,,,,,, +,Pedicularis tenera,,,,,,,,,,,,,,,,,,, +,Pedicularis tenuituba,,,,,,,,,,,,,,,,,,, +,Pedicularis thamnophila,,,,,,,,,,,,,,,,,,, +,Pedicularis tibetica,,,,,,,,,,,,,,,,,,, +,Pedicularis tomentosa,,,,,,,,,,,,,,,,,,, +,Pedicularis tongolensis,,,,,,,,,,,,,,,,,,, +,Pedicularis triangularidens,,,,,,,,,,,,,,,,,,, +,Pedicularis trichocymba,,,,,,,,,,,,,,,,,,, +,Pedicularis trichomata,,,,,,,,,,,,,,,,,,, +,Pedicularis tricolor,,,,,,,,,,,,,,,,,,, +,Pedicularis tsaii,,,,,,,,,,,,,,,,,,, +,Pedicularis tsarungensis,,,,,,,,,,,,,,,,,,, +,Pedicularis umbelliformis,,,,,,,,,,,,,,,,,,, +,Pedicularis urceolata,,,,,,,,,,,,,,,,,,, +,Pedicularis variegata,,,,,,,,,,,,,,,,,,, +,Pedicularis wardii,,,,,,,,,,,,,,,,,,, +,Pedicularis weixiensis,,,,,,,,,,,,,,,,,,, +,Pedicularis wilsonii,,,,,,,,,,,,,,,,,,, +,Pedicularis xiangchengensis,,,,,,,,,,,,,,,,,,, +,Pedicularis yanyuanensis,,,,,,,,,,,,,,,,,,, +,Pedicularis yui,,,,,,,,,,,,,,,,,,, +,Pedicularis yunnanensis,,,,,,,,,,,,,,,,,,, +,Pedicularis zayuensis,,,,,,,,,,,,,,,,,,, +,Pedicularis zhongdianensis,,,,,,,,,,,,,,,,,,, +,Peliosanthes ligniradicis,,,,,,,,,,,,,,,,,,, +大盖球子草,Peliosanthes macrostegia,彭思玉,522401161110029 LY,20161110,贵州省,1336.4,旱生、阳性、中温、沙土、野生植物、灌丛,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0037556.jpg,,,,,,,,,, +大盖球子草,Peliosanthes macrostegia,黄治明,522,19810409,四川,600,生于沟边竹林中,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM722205291.jpg,,,,,,,,,, +大盖球子草,Peliosanthes macrostegia,北京队,1233,19880607,湖南省,300~400,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01340172.jpg,,,,,,,,,, +匍匐球子草,Peliosanthes sinica,万煜 陈秀香,32268,19670527,,,,,有花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI046128.jpg,,,,,,,,,, +匍匐球子草,Peliosanthes sinica,中越考察队,2189,19690210,永福,200,石灰岩林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/305141.jpg,,,,,,,,,, +匍匐球子草,Peliosanthes sinica,傅坤俊,5110,19520720,陕西省,1600,山坡崖上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/305117.jpg,,,,,,,,,, +簇花球子草,Peliosanthes teta,,36021,,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01713603.jpg,,,,,,,,,, +簇花球子草,Peliosanthes teta,中越考察队,1415,19650116,,190~300,林下 常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01713606.jpg,,,,,,,,,, +簇花球子草,Peliosanthes teta,"李渤生,程树志",3959,19830408,西藏自治区,1000~650,半常绿雨林下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077554.jpg,,,,,,,,,, +,Peliosanthes violacea,,,,,,,,,,,,,,,,,,, +,Pennilabium proboscideum,,,,,,,,,,,,,,,,,,, +,Pennilabium struthio,,,,,,,,,,,,,,,,,,, +中华东方荚果蕨,Pentarhizidium intermedium,鞠文彬,李蒙,AZH00263,20150712,四川,1595,路边林下,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0235250.jpg,,,,,,,,,, +中华荚果蕨,Pentarhizidium intermedium,严岳鸿、商辉、刘子玥,SG1590,20161123,湖北,1197,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0139419.jpg,,,,,,,,,, +,Pentarhizidium intermedium,Zhang X.C.,4081,20060630,西藏自治区,2300,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01822877.jpg,,,,,,,,,, +东方荚果蕨,Pentarhizidium orientale,金摄郎、张九兵,JSL-WLSQ 1517,20141129,贵州省,,,,无孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0047568.jpg,,,,,,,,,, +东方荚果蕨,Pentarhizidium orientale,商辉、罗俊杰、刘莉,SG1514,20161020,陕西省,1806,落叶阔叶林,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0131921.jpg,,,,,,,,,, +东方荚果蕨,Pentarhizidium orientale,梁同军,LS20160059,20160810,江西省,912,生于阴湿灌丛中。,蕨类 Fern,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0130478.jpg,,,,,,,,,, +蒙自草胡椒,Peperomia heyneana,青藏队植被组,4361,19750627,,1700~2000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00045225.jpg,,,,,,,,,, +蒙自草胡椒,Peperomia heyneana,南水北调队,4677,19600815,四川省,1700,山谷 路旁 灌丛下 岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00124208.jpg,,,,,,,,,, +蒙自草胡椒,Peperomia heyneana,"李渤生,程树志",5230,19830624,西藏自治区,1200,半常绿雨林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555327.jpg,,,,,,,,,, +草胡椒,Peperomia pellucida,"张寿洲,李良千等",2631,20050709,广东省,50,路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01585520.jpg,,,,,,,,,, +草胡椒,Peperomia pellucida,叶华谷、邢福武,8738,20030619,澳门,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0181643.jpg,,,,,,,,,, +,Peperomia pellucida,王立彦,桂巍,SCSB-TBG-141,20081119,云南,806,甘蔗地边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1233997.jpg,,,,,,,,,, +豆瓣绿,Peperomia tetraphylla,刘心沂,26375,19560420,海南省,,斜坡向东 密林中石上 密阴 干燥,,有花无果,https://image.cvh.ac.cn/files/l/PE/00124438.jpg,,,,,,,,,, +豆瓣绿,Peperomia tetraphylla,白水江采集队,3612,20070427,甘肃,1068,河谷路边林下岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814916.jpg,,,,,,,,,, +豆瓣绿,Peperomia tetraphylla,S.Saito,7290,19291101,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01781824.jpg,,,,,,,,,, +小花阔蕊兰,Peristylus affinis,Y.Tsiang,53026,,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00728040.jpg,,,,,,,,,, +小花阔蕊兰,Peristylus affinis,藏南考察队,DLJ-ET 2740,20080713,西藏自治区,1500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867083.jpg,,,,,,,,,, +小花阔蕊兰,Peristylus affinis,巴山采集队,5143,20110701,四川省,1750,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230199.jpg,,,,,,,,,, +绿春阔蕊兰,Peristylus biermannianus,刘成,冯明建,何俊,20CS19881,20200826,云南,2321,马缨杜鹃林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505908.jpg,,,,,,,,,, +绿春阔蕊兰,Peristylus biermannianus,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201350,20200729,西藏,2317,林中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507044.jpg,,,,,,,,,, +凸孔阔蕊兰,Peristylus coeloceras,,6159,19100700,云南省 ,0~3355,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0631790.jpg,,,,,,,,,, +凸孔阔蕊兰,Peristylus coeloceras,"杨亲二,袁琼",Yangqe2003,20080725,云南省,3300,林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033334.jpg,,,,,,,,,, +凸孔阔蕊兰,Peristylus coeloceras,"张永田,郎楷永",1014,19650728,西藏自治区,3040,山沟灌木丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230249.jpg,,,,,,,,,, +西藏阔蕊兰,Peristylus elisabethae,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1461,20130817,西藏自治区,2764,路边 石壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000496.jpg,,,,,,,,,, +西藏阔蕊兰,Peristylus elisabethae,陈家辉,王赟,刘德团等,YangYP-Q-3205,20100916,西藏,3769,灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1394177.jpg,,,,,,,,,, +盘腺阔蕊兰,Peristylus fallax,罗毅波,21,19960605,西藏自治区,3300,山谷 西坡 灌丛边 草丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01526892.jpg,,,,,,,,,, +盘腺阔蕊兰,Peristylus fallax,青藏队,12709,19830807,四川省,3600,山坡 陡岩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01147461.jpg,,,,,,,,,, +盘腺阔蕊兰,Peristylus fallax,亚吉东;张荣桢;张捷;陈琪,19CS18596,20190831,云南,2081,高山草地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1552639.jpg,,,,,,,,,, +一掌参,Peristylus forceps,侯小琪,S20140718001,20140718,贵州,,水旁、草坡、路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0006731.jpg,,,,,,,,,, +一掌参,Peristylus forceps,HK kadoorie teaus,1130,20010715,云南省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867005.jpg,,,,,,,,,, +一掌参,Peristylus forceps,K.H.Liang,177,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00728199.jpg,,,,,,,,,, +阔蕊兰,Peristylus goodyeroides,金效华,84,20000504,贵州省,1020,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033630.jpg,,,,,,,,,, +阔蕊兰,Peristylus goodyeroides,李剑武,1765,20120901,云南,900,公路边灌丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027784.jpg,,,,,,,,,, +阔蕊兰,Peristylus goodyeroides,,8491,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01720703.jpg,,,,,,,,,, +,Peristylus jinchuanicus,,,,,,,,,,,,,,,,,,, +纤茎阔蕊兰,Peristylus mannii,Jin X.H.,11634,20110927,云南省,2400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033192.jpg,,,,,,,,,, +纤茎阔蕊兰,Peristylus mannii,,435,18970000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00027290.jpg,,,,,,,,,, +纤茎阔蕊兰,Peristylus mannii,T.Tang,1368,,山西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0631871.jpg,,,,,,,,,, +,Peristylus neotineoides,,,,,,,,,,,,,,,,,,, +,Peristylus prainii,X.H.Jin,6958,20050513,云南省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855748.jpg,,,,,,,,,, +,Peristylus richardianus,,,,,,,,,,,,,,,,,,, +,Peristylus superanthus,"Jin Xh,Wang LS Wang Q et al.",ST1529,20130730,云南省,,apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977086.jpg,,,,,,,,,, +狭叶帚菊,Pertya angustifolia,D.E.Boufford et al.,37314,20060825,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579703.jpg,,,,,,,,,, +,Pertya berberidoides,"Handel-Mazzetti, Heinrich",7781,25-Aug-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00225219.jpg,,,,,,,,,, +异叶帚菊,Pertya berberidoides,刘恩德等,2698,20100812,四川省,2823,"Riverside,in thickets",,有花有果,https://image.cvh.ac.cn/files/l/PE/01912922.jpg,,,,,,,,,, +异叶帚菊,Pertya berberidoides,王启无,66416,19350900,云南省 ,0~3200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606946.jpg,,,,,,,,,, +单头帚菊,Pertya monocephala,青藏队科考队,11965,19760622,西藏自治区,2900,干旱冲积扇沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607004.jpg,,,,,,,,,, +单头帚菊,Pertya monocephala,川经植,8840,19600530,云南省,1900~2100,山坡阳处灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607001.jpg,,,,,,,,,, +,Pertya monocephala,"Kingdon-Ward, Francis",1141,24-Jan-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00220992.jpg,,,,,,,,,, +针叶帚菊,Pertya phylicoides,G.Forrest,30915,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607049.jpg,,,,,,,,,, +针叶帚菊,Pertya phylicoides,G.Forrest,12635,19140000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606992.jpg,,,,,,,,,, +针叶帚菊,Pertya phylicoides,"Jin Xh,Wang LS,Wang Q et al.",ST2256,20130806,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02002332.jpg,,,,,,,,,, +单花帚菊,Pertya uniflora,郭本兆,25714,19820810,青海省,2800,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/102540.jpg,,,,,,,,,, +单花帚菊,Pertya uniflora,西北学院,13,,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607039.jpg,,,,,,,,,, +单花帚菊,Pertya uniflora,T.P.Wang,7232,1937/7/17,甘肃,3200,,shrub,有花无果,https://image.cvh.ac.cn/files/l/WUK/0022853.jpg,,,,,,,,,, +盐源蜂斗菜,Petasites versipilus,"四川队,关克俭等",10,19640319,四川省,1020,林下潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01711108.jpg,,,,,,,,,, +盐源蜂斗菜,Petasites versipilus,,5603,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01711062.jpg,,,,,,,,,, +盐源蜂斗菜,Petasites versipilus,S.S.Sin,20197,19300418,湖南省,1000,山麓,,有花无果,https://image.cvh.ac.cn/files/l/PE/01711089.jpg,,,,,,,,,, +,Petrocosmea flaccida,,,,,,,,,,,,,,,,,,, +疏花无叶莲,Petrosavia sakuraii,葛斌杰、黄姝博、周雅萍,GBJ07522,20180723,浙江,1311,亚热带常绿与落叶阔叶林,林缘路边,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0158051.jpg,,,,,,,,,, +蔬毛无叶莲,Petrosavia sakuraii,anonymous,s.n.,0,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/HTC/HTC0002307.jpg,,,,,,,,,, +蔬毛无叶莲,Petrosavia sakuraii,"刘成, 亚吉东",18CS17291,20181126,西藏,1731,常绿阔叶林林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1482766.jpg,,,,,,,,,, +,Peucedanum angelicoides,"Cavalerie, J.",4320,1917,,,,,,https://image.cvh.ac.cn/files/l/P/P00752650.jpg,,,,,,,,,, +,Peucedanum angelicoides,"张挺,亚吉东,张桥蓉,李春晓,张继,李明勤,王关友,王祖繁",11CS3569,20110922,云南省,3137,草坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336815.jpg,,,,,,,,,, +芷叶前胡,Peucedanum angelicoides,熊厚溪,522401140912013 LY,20140912,贵州省,1689,,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0037121.jpg,,,,,,,,,, +滇西前胡,Peucedanum delavayi,C.W.Wang,66244,19350900,西藏自治区,3400,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756974.jpg,,,,,,,,,, +,Peucedanum delavayi,"Delavay, J.M.",945,1884-8-31,,,,,,https://image.cvh.ac.cn/files/l/P/P02272001.jpg,,,,,,,,,, +异叶前胡,Peucedanum franchetii,王年鹤 张成宁,92027,19920904,云南省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00043749.jpg,,,,,,,,,, +异叶前胡,Peucedanum franchetii,溥发鼎、曹亚玲等,161,Oct-83,四川省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093885.jpg,,,,,,,,,, +细裂前胡,Peucedanum macilentum,"张永田,郞楷永",813,19850721,西藏自治区,2100,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00757125.jpg,,,,,,,,,, +,Peucedanum macilentum,,12,1938,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0065019.jpg,,,,,,,,,, +细裂前胡,Peucedanum macilentum,T.T.Yü,12048,19370708,云南省,3300,rocky hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/00757124.jpg,,,,,,,,,, +矮前胡,Peucedanum nanum,傅国勋,1377,19600000,西藏自治区,3800,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00757147.jpg,,,,,,,,,, +矮前胡,Peucedanum nanum,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201749,20200815,西藏,3747,荒坡上,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1508955.jpg,,,,,,,,,, +松潘前胡,Peucedanum songpanense,溥发鼎等,56,Oct-83,四川省,2800,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172290.jpg,,,,,,,,,, +长前胡,Peucedanum turgeniifolium,周洪富,粟和毅,111579,1964/10/21,重庆,1050,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0239290.jpg,,,,,,,,,, +长前胡,Peucedanum turgeniifolium,标本室,3330,19560800,河北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0440576.jpg,,,,,,,,,, +长前胡,Peucedanum turgeniifolium,胡志新,3419,19731007,甘肃省,1450,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0440578.jpg,,,,,,,,,, +紫茎前胡,Peucedanum violaceum,PE西藏队,PE6747,20170916,西藏自治区,3013,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333615.jpg,,,,,,,,,, +紫茎前胡,Peucedanum violaceum,魏来、何毅,BNUXZ2016388,20160724,西藏,3750,林下,,,https://image.cvh.ac.cn/files/l/BNU/0028102.jpg,,,,,,,,,, +柔毛藏芥,Phaeonychium villosum,周立华,126,19660624,青海省,4500,高山草甸,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01161716.jpg,,,,,,,,,, +柔毛藏芥,Phaeonychium villosum,洮河队,3306,19570610,甘肃省,3550,山坡,荫处,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0499723.jpg,,,,,,,,,, +,Phaeonychium villosum,"Hopkingson, J.",Ho1131,1930/9/2,,,,,,https://image.cvh.ac.cn/files/l/P/P00747203.jpg,,,,,,,,,, +黄花鹤顶兰,Phaius flavus,苏享修,CFH09010640,20150731,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0105199.jpg,,,,,,,,,, +黄花鹤顶兰,Phaius flavus,"程树志,倪志诚,李渤生",4736,19830511,西藏自治区,900,Ficus林下偶见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850924.jpg,,,,,,,,,, +黄花鹤顶兰,Phaius flavus,罗金龙、张帆,807,20171201,湖南,400,阴湿林下,草本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI068776.jpg,,,,,,,,,, +紫花鹤顶兰,Phaius mishmensis,税玉民等,14546,20001121,四川省,0,in the second forests on the rock-earthy,,有花无果,https://image.cvh.ac.cn/files/l/KUN/766558.jpg,,,,,,,,,, +紫花鹤顶兰,Phaius mishmensis,黄勇进 陈景方,4251,20010111,云南省 ,800,林下荫湿,草本,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00058880.jpg,,,,,,,,,, +紫花鹤顶兰,Phaius mishmensis,"李渤生,程树志",2328,19821228,西藏自治区,950,江边Ca hy林下常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376722.jpg,,,,,,,,,, +鹤顶兰,Phaius tancarvilleae,屏边县中药资源普查队,5325231316,20120507,云南省,660,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0025225.jpg,,,,,,,,,, +鹤顶兰,Phaius tancarvilleae,马燕红,20188603,20180422,贵州省,575,树林中土地,,无花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0026629.jpg,,,,,,,,,, +鹤顶兰,Phaius tancarvilleae,叶康,YK-18201,20180318,海南,,路边沟旁山坡脚下,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0151366.jpg,,,,,,,,,, +,Phaius wallichii,A. Henry Clarke No. 38502,13813,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00029145.jpg,,,,,,,,,, +,Phalaenopsis braceana,,,,,,,,,,,,,,,,,,, +,Phalaenopsis deliciosa,,,,,,,,,,,,,,,,,,, +洛氏蝴蝶兰,Phalaenopsis lobbii,许为斌、朱运喜,B0606,20080502,广西壮族自治区,750,石灰岩山坡阔叶林,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00223354.jpg,,,,,,,,,, +,Phalaenopsis mannii,吉占和,92-371,19920320,云南省,850,林缘树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850628.jpg,,,,,,,,,, +版纳蝴蝶兰,Phalaenopsis mannii,胡启和,仇亚,周兵等,YNS0795,20100228,云南,1600,公路边,附生,,https://image.cvh.ac.cn/files/l/KUN/1394184.jpg,,,,,,,,,, +版纳蝴蝶兰,Phalaenopsis mannii,刘演、许为斌,9576,20090529,广西壮族自治区,400,山坡、石灰岩石山,附生,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00281769.jpg,,,,,,,,,, +,Phalaenopsis marriottiana var. parishii,,,,,,,,,,,,,,,,,,, +墨脱蝴蝶兰,Phalaenopsis medogensis,Jin Xiaohua,Wang Xilong,Chen Wenshuai,Ma Chongbo,Z,38519,20220418,西藏自治区,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02363784.jpg,,,,,,,,,, +湿唇兰,Phalaenopsis parishii,秦姣,张伟,Qinjiao9,20200701,贵州,,附生于树上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1513879.jpg,,,,,,,,,, +,Phalaenopsis taenialis,,,,,,,,,,,,,,,,,,, +蝶兰,Phalaenopsis wilsonii,左明清,11,19700909,四川,1900,深沟悬岩上,草本,有花无果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0003495.jpg,,,,,,,,,, +蝶兰,Phalaenopsis wilsonii,金效华,253,20000800,贵州省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820731.jpg,,,,,,,,,, +蝶兰,Phalaenopsis wilsonii,T.T.Yu,5900,19370602,四川省,2150,unop trunk of pistacia weinmanmiolia parasite,,无花无果,https://image.cvh.ac.cn/files/l/PE/00728363.jpg,,,,,,,,,, +卵果蕨,Phegopteris connectilis,陈彦生、吴振海、黎斌、孙建钊等,4416,2006/7/27,陕西省,1800,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0502169.jpg,,,,,,,,,, +卵果蕨,Phegopteris connectilis,朱维明,5299,19730626,云南省,2250,杂木林缘岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00848236.jpg,,,,,,,,,, +卵果蕨,Phegopteris connectilis,K.M.Liou,5372,19350902,河南省,1400,"Dans le bois humides,ombrages",,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01397126.jpg,,,,,,,,,, +,Phegopteris tibetica,姚淦,1857,19890729,西藏自治区,3100,林下阴处,蕨,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00003641.jpg,,,,,,,,,, +西藏卵果蕨,Phegopteris tibetica,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4401,20160911,西藏,3184,针叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136546.jpg,,,,,,,,,, +,Philadelphus lushuiensis,,,,,,,,,,,,,,,,,,, +,Philadelphus purpurascens,,,,,,,,,,,,,,,,,,, +,Philadelphus tetragonus,,,,,,,,,,,,,,,,,,, +,Phlegmariurus cancellatus,青藏队,1411,19730908,西藏自治区,2300,山坡落叶阔叶林中附生于树干上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01455872.jpg,,,,,,,,,, +直立马尾杉,Phlegmariurus cancellatus,王启无 刘瑛,83150,,云南省,,,,,https://image.cvh.ac.cn/files/l/PE/00044322.jpg,,,,,,,,,, +,Phlegmariurus fargesii,,s.n.,,广西壮族自治区,,附生石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01455909.jpg,,,,,,,,,, +,Phlegmariurus fargesii,T.Murakami et al.,340,19801224,台湾省,1100,"on tree in cloud forest,shaded.",,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01455908.jpg,,,,,,,,,, +,Phlegmariurus fargesii,Farges,1160,1892-4-23,,,,,,https://image.cvh.ac.cn/files/l/P/P00522989.jpg,,,,,,,,,, +,Phlegmariurus nylamensis,"李渤生,程树志等",1148,19821007,西藏自治区,3700,高山灌丛草甸中偶见,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01436035.jpg,,,,,,,,,, +,Phlegmariurus phlegmaria,F.A.McClure,20083,19320504,海南省,800,On trunk of large tree,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01436110.jpg,,,,,,,,,, +,Phlegmariurus phlegmaria,K.M.Feng,13593,19471123,云南省,600~800,on tree in mixed forests,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01436094.jpg,,,,,,,,,, +马尾杉,Phlegmariurus phlegmaria,陈念劬,43869,19320922,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00030125.jpg,,,,,,,,,, +,Phlegmariurus pulcherrimus,黄锄荒,s.n.,19820000,福建省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01436158.jpg,,,,,,,,,, +,Phlegmariurus pulcherrimus,刘林翰,472,19570519,湖南省,1100,谷地阴湿之林内溪边附生于岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01436140.jpg,,,,,,,,,, +,Phlegmariurus pulcherrimus,Suzuki-Tokio,18952,19350815,台湾省,1500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00034687.jpg,,,,,,,,,, +,Phlegmariurus squarrosus,H.F.Sun,76,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01563722.jpg,,,,,,,,,, +粗糙马尾杉,Phlegmariurus squarrosus,金摄郎,JSL-GX 049,20120411,广西省,330,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0038866.jpg,,,,,,,,,, +,Phlegmariurus squarrosus,青藏队,4196,19740811,西藏自治区,800,山坡路边岩石上附生下垂,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01436169.jpg,,,,,,,,,, +,Phlegmariurus subulifolius,,s.n.,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01563724.jpg,,,,,,,,,, +,Phlomoides ambigua,,,,,,,,,,,,,,,,,,, +,Phlomoides atropurpurea,,,,,,,,,,,,,,,,,,, +,Phlomoides betonicoides,,,,,,,,,,,,,,,,,,, +,Phlomoides brevidentata,,,,,,,,,,,,,,,,,,, +,Phlomoides cuneata,,,,,,,,,,,,,,,,,,, +,Phlomoides fimbriata,,,,,,,,,,,,,,,,,,, +,Phlomoides forrestii,,,,,,,,,,,,,,,,,,, +,Phlomoides kansuensis,,,,,,,,,,,,,,,,,,, +,Phlomoides likiangensis,,,,,,,,,,,,,,,,,,, +,Phlomoides longicalyx,,,,,,,,,,,,,,,,,,, +,Phlomoides medicinalis,,,,,,,,,,,,,,,,,,, +,Phlomoides melanantha,,,,,,,,,,,,,,,,,,, +,Phlomoides milingensis,,,,,,,,,,,,,,,,,,, +,Phlomoides muliensis,,,,,,,,,,,,,,,,,,, +,Phlomoides nana,,,,,,,,,,,,,,,,,,, +,Phlomoides nyalamensis,,,,,,,,,,,,,,,,,,, +,Phlomoides paohsingensis,,,,,,,,,,,,,,,,,,, +,Phlomoides pararotata,,,,,,,,,,,,,,,,,,, +,Phlomoides pygmaea,,,,,,,,,,,,,,,,,,, +,Phlomoides ruptilis,,,,,,,,,,,,,,,,,,, +,Phlomoides setifera,,,,,,,,,,,,,,,,,,, +,Phlomoides strigosa,,,,,,,,,,,,,,,,,,, +,Phlomoides szechuanensis,,,,,,,,,,,,,,,,,,, +,Phlomoides tatsienensis,,,,,,,,,,,,,,,,,,, +,Phlomoides tibetica,,,,,,,,,,,,,,,,,,, +,Phlomoides younghusbandii,,,,,,,,,,,,,,,,,,, +,Phoebe attenuata,H.H.Haines,,19040529,,,,,无花有果,https://image.cvh.ac.cn/files/l/AU/032919.jpg,,,,,,,,,, +,Phoebe baishyae,,,,,,,,,,,,,,,,,,, +,Phoebe bootanica,,,,,,,,,,,,,,,,,,, +,Phoebe cathia,,,,,,,,,,,,,,,,,,, +,Phoebe cavaleriei,"Cavalerie, J.",1222,1900,,,,,,https://image.cvh.ac.cn/files/l/E/E00068212.jpg,,,,,,,,,, +白背楠,Phoebe glaucifolia,武素功,342,19581015,云南省,900,阴处路旁,乔木直立,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00010716.jpg,,,,,,,,,, +,Phoebe hedgei,,,,,,,,,,,,,,,,,,, +披针叶楠,Phoebe lanceolata,冯国楣,14207,19511211,云南省 ,1000~1060,杂林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0174615.jpg,,,,,,,,,, +披针叶楠,Phoebe lanceolata,叶金科,YNS0199,20080720,云南,1050,公路边,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1230890.jpg,,,,,,,,,, +披针叶楠,Phoebe lanceolata,管中天,8229,19590530,四川省,1350~1800,山坡顶部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01505888.jpg,,,,,,,,,, +,Phoebe motuonan,,,,,,,,,,,,,,,,,,, +,Phoebe pallida,,,,,,,,,,,,,,,,,,, +林刺葵,Phoenix sylvestris,陈三阳,18821,19780904,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/062676.jpg,,,,,,,,,, +银海枣,Phoenix sylvestris,李宏庆等,SDP07425,20120325,上海市,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0055795.jpg,,,,,,,,,, +林刺葵,Phoenix sylvestris,王晖、姜斌,1306702,20130621,广东省,,草坪上,,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00069996.jpg,,,,,,,,,, +节茎石仙桃,Pholidota articulata,,8498,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01720715.jpg,,,,,,,,,, +节茎石仙桃,Pholidota articulata,金效华,198,20000517,贵州省,1140,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01866753.jpg,,,,,,,,,, +节茎石仙桃,Pholidota articulata,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T212,20160915,西藏自治区,1524,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233102.jpg,,,,,,,,,, +石仙桃,Pholidota chinensis,李永康等,8472,19801025,江西省,500~380,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/433015.jpg,,,,,,,,,, +石仙桃,Pholidota chinensis,Tsang W.T.,28235,1937/9/9,广西; KWANGSI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028907.jpg,,,,,,,,,, +石仙桃,Pholidota chinensis,中越考察队,2092,19650208,永福,1100~1000,常绿阔叶林附生树杆,,有果无花,https://image.cvh.ac.cn/files/l/KUN/433028.jpg,,,,,,,,,, +凹唇石仙桃,Pholidota convallariae,,26623,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0632278.jpg,,,,,,,,,, +凹唇石仙桃,Pholidota convallariae,吴磊,3709,20130515,广西壮族自治区,1000,山坡密林,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0031150.jpg,,,,,,,,,, +宿苞石仙桃,Pholidota imbricata,"高信芬,彭玉兰,孙庚",3916,20020925,四川省,1300,坡地灌丛树上附生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01517680.jpg,,,,,,,,,, +宿苞石仙桃,Pholidota imbricata,林秦文,2013-263,20130602,云南省,2300,寺庙边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02030604.jpg,,,,,,,,,, +宿苞石仙桃,Pholidota imbricata,王启无,73850,19360500,广东省,1550,"mixed forest,tree barks",epipyte,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00559134.jpg,,,,,,,,,, +尖叶石仙桃,Pholidota missionariorum,金效华,367,20000800,贵州省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01866749.jpg,,,,,,,,,, +尖叶石仙桃,Pholidota missionariorum,K.M.Feng,12633,1947/10/31,云南,1700,,herb,无花有果,https://image.cvh.ac.cn/files/l/WUK/0207186.jpg,,,,,,,,,, +尖叶石仙桃,Pholidota missionariorum,王启无,66332,19350900,云南省 ,3000,mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00559151.jpg,,,,,,,,,, +密花石仙桃,Pholidota pallida,西师生物系74级,12142,1976-7 2,四川省,1800,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0171652.jpg,,,,,,,,,, +,Pholidota pallida,R.P. Tschang,s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00383581.jpg,,,,,,,,,, +尾尖石仙桃,Pholidota protracta,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T248,20160916,西藏自治区,1100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233070.jpg,,,,,,,,,, +尾尖石仙桃,Pholidota protracta,"李延辉,禹平华",20485,19771018,云南省,2000,沟谷 潮湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01451845.jpg,,,,,,,,,, +尾尖石仙桃,Pholidota protracta,Forrest,24807,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028919.jpg,,,,,,,,,, +,Pholidota rubra,,,,,,,,,,,,,,,,,,, +大叶石楠,Photinia megaphylla,"李渤生,程树志",1987,19821202,西藏自治区,2200~2300,常绿阔叶林下常见乔木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074565.jpg,,,,,,,,,, +大叶石楠,Photinia megaphylla,"刘成, 亚吉东",18CS17258,20181123,西藏,1626,次生林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487462.jpg,,,,,,,,,, +大叶石楠,Photinia megaphylla,Anonymous,,,,,,,无花有果,https://image.cvh.ac.cn/files/l/HHBG/HZ016366.jpg,,,,,,,,,, +,Phreatia elegans,,,,,,,,,,,,,,,,,,, +尖苞冬叶,Phrynium placentarium,吊罗山队,3001,19541228,海南省,,沼地散生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00085587.jpg,,,,,,,,,, +尖苞柊叶,Phrynium placentarium,姚淦,3463,19900826,西藏自治区,900,,藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00006676.jpg,,,,,,,,,, +尖苞柊叶,Phrynium placentarium,黄雪彦、黄宝优、李金花,451425150915023LY,20150915,广西,390,灌丛,林缘,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0185198.jpg,,,,,,,,,, +,Phrynium pubinerve,,8734,19630620,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00085614.jpg,,,,,,,,,, +柊叶,Phrynium rheedei,高成芝等,73161,19750906,,,,,有花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI045450.jpg,,,,,,,,,, +?叶,Phrynium rheedei,Li-Jianwu,3187,20130609,云南省,800,ravine rain forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1251878.jpg,,,,,,,,,, +柊叶,Phrynium rheedei,何海文,杨锦超,YangXF0210,20130620,广西,609,北热带半常绿季雨林、湿润雨林地带山坡、沟谷林下荫湿处密林中荫湿之处,草本,,https://image.cvh.ac.cn/files/l/KUN/1391056.jpg,,,,,,,,,, +,Phyllanthus tsarongensis,青藏队,13391,19830825,四川省,1900,雅砻江边 灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01128102.jpg,,,,,,,,,, +西南叶下珠,Phyllanthus tsarongensis,C. W. Wang,66151,1935/09/,西康,3000,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0066413.jpg,,,,,,,,,, +,Phyllanthus tsarongensis,青藏队,7715,19820627,西藏自治区,1800,怒江边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01128103.jpg,,,,,,,,,, +,Phyllolobium camptodontum,,,,,,,,,,,,,,,,,,, +,Phyllolobium enneaphyllum,,,,,,,,,,,,,,,,,,, +,Phyllolobium flavovirens,,,,,,,,,,,,,,,,,,, +,Phyllolobium lasaense,,,,,,,,,,,,,,,,,,, +,Phyllolobium pastorium,,,,,,,,,,,,,,,,,,, +,Phymatopteris similis,武素功,7024,19640605,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/056526.jpg,,,,,,,,,, +相似假瘤蕨,Phymatopteris similis,王培善,90534,19901025,贵州省,1080,,,无花无果,https://image.cvh.ac.cn/files/l/HGAS/053467.jpg,,,,,,,,,, +全叶滇芎,Physospermopsis alepidioides,溥发鼎,姚淦,400,19821023,四川省,2250,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00029188.jpg,,,,,,,,,, +楔叶滇芎,Physospermopsis cuneata,"周浙昆, 苏涛, 杨莹, 张芳茗, 李国锋, 黄永江",Zhou09-085,20091014,云南,,河滩,杂木林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336866.jpg,,,,,,,,,, +楔叶滇芎,Physospermopsis cuneata,和炳先,88-42,19880000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00029195.jpg,,,,,,,,,, +,Physospermopsis cuneata,"Rock, Joseph Francis Charles",5854,1922,,,,,,https://image.cvh.ac.cn/files/l/E/E00000217.jpg,,,,,,,,,, +木里滇芎,Physospermopsis muliensis,T.T.Yu,14579,19371020,四川省,4000,grassy slope,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/01432306.jpg,,,,,,,,,, +木里滇芎,Physospermopsis muliensis,,14579,19440628,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00028770.jpg,,,,,,,,,, +木里滇芎,Physospermopsis muliensis,徐朗然,187,1981/10/20,四川,3900,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0423589.jpg,,,,,,,,,, +麦吊云杉,Picea brachytyla,张卢水、毛星星,SUZLS00320,20171028,重庆,2030,阔叶林下,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1556822.jpg,,,,,,,,,, +麦吊云杉,Picea brachytyla,"傅立国,张荣厚",131,19721013,江西省,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/00008416.jpg,,,,,,,,,, +麦吊云杉,Picea brachytyla,T.T.Wang,21109,1930/6/1,四川,2400,,tree,无花无果,https://image.cvh.ac.cn/files/l/WUK/0047896.jpg,,,,,,,,,, +油麦吊云杉,Picea brachytyla var. complanata,郭本兆,5814,1964/ /,甘肃,,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0231466.jpg,,,,,,,,,, +油麦吊云杉,Picea brachytyla var. complanata,宋滋圃,38496,1954/6/13,四川,3250,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0175393.jpg,,,,,,,,,, +油麦吊云杉,Picea brachytyla var. complanata,刘正宇,2050688,20000629,重庆市,2300,山地杂木林中,大乔木,有花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0010909.jpg,,,,,,,,,, +丽江云杉,Picea likiangensis,田新民,李忠虎,邹嘉宾,LiuJQ-09XZ-lzt-177,20091022,四川,3593,高原河谷,乔木,,https://image.cvh.ac.cn/files/l/KUN/1404942.jpg,,,,,,,,,, +丽江云杉,Picea likiangensis,W.C.Cheng,1777,1930/8/8,四川; Sichuan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00000969.jpg,,,,,,,,,, +康定云杉,Picea likiangensis,W.C.Cheng,1257,19300620,江苏省,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00059609.jpg,,,,,,,,,, +黄果云杉,Picea likiangensis var. hirtella,唐宇丹等,CD002(2006-2912,20061016,西藏自治区,3832,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01963447.jpg,,,,,,,,,, +黄果云杉,Picea likiangensis var. hirtella,W.C.Cheng,3536,1930-10-,四川; Sichuan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00000972.jpg,,,,,,,,,, +,Picea likiangensis var. hirtella,林业部调查设计局综合调查队,518,1955,四川,,,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00000560.jpg,,,,,,,,,, +林芝云杉,Picea likiangensis var. linzhiensis,"王金亭,武田义明",90,19860402,西藏自治区,3600~4000,阴坡优势种,,无花有果,https://image.cvh.ac.cn/files/l/PE/02081124.jpg,,,,,,,,,, +林芝云杉,Picea likiangensis var. linzhiensis,孔航辉,任琛,YangQE2738,20090924,云南,3372,针叶林,乔木,,https://image.cvh.ac.cn/files/l/KUN/1404948.jpg,,,,,,,,,, +林芝云杉,Picea likiangensis var. linzhiensis,青藏队横断山队,5955,19810901,四川省,3400,山坡 云杉 林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01057155.jpg,,,,,,,,,, +川西云杉,Picea likiangensis var. rubescens,魏振锋,16,1962/7/25,青海,3450,,大乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0165209.jpg,,,,,,,,,, +川西云杉,Picea likiangensis var. rubescens,廖俊国,Jan-84,19840817,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00206696.jpg,,,,,,,,,, +川西云杉,Picea likiangensis var. rubescens,覃敏,4,19821015,四川省,3200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00982974.jpg,,,,,,,,,, +紫果云杉,Picea purpurea,祁连山南坡组,,19570920,青海省,3600,林内土壤上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00010927.jpg,,,,,,,,,, +紫果云杉,Picea purpurea,田新民,李忠虎,邹嘉宾,LiuJQ-09XZ-lzt-143,20091016,四川,3784,高原河谷,乔木,,https://image.cvh.ac.cn/files/l/KUN/1404961.jpg,,,,,,,,,, +紫果云杉,Picea purpurea,田新民,李忠虎,邹嘉宾,LiuJQ-09XZ-lzt-117,20091012,甘肃,2751,高原河谷,乔木,,https://image.cvh.ac.cn/files/l/KUN/1404962.jpg,,,,,,,,,, +长叶云杉,Picea smithiana,尹江,,19811020,海南省,,栽培,,无花有果,https://image.cvh.ac.cn/files/l/BNU/0033760.jpg,,,,,,,,,, +长叶云杉,Picea smithiana,"陈又生,张树仁,于胜祥等",364,20111111,西藏自治区,2718,山谷云杉林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967983.jpg,,,,,,,,,, +长叶云杉,Picea smithiana,"傅立国,张荣厚",88,19721010,江西省,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/01865149.jpg,,,,,,,,,, +喜马拉雅云杉,Picea spinulosa,张经炜,2492,19610523,西藏自治区,3000,南坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043846.jpg,,,,,,,,,, +喜马拉雅云杉,Picea spinulosa,K.M.Feng,3244,19490000,云南,,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF1002311.jpg,,,,,,,,,, +喜马拉雅云杉,Picea spinulosa,何铸,周子村,14344,19520000,四川,,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF1002270.jpg,,,,,,,,,, +耳基冷水花,Pilea auricularis,Gaoligong Shan Biodiversity Survey,33968,20060823,云南省,1910,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865780.jpg,,,,,,,,,, +耳基冷水花,Pilea auricularis,"李渤生,程树志",2047,19821208,西藏自治区,2600~2800,常绿阔叶林下阴湿坡优势草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014244.jpg,,,,,,,,,, +耳基冷水花,Pilea auricularis,白洪兵,5333241812021143LY,20181202,云南,1963,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009971.jpg,,,,,,,,,, +大果冷水花,Pilea macrocarpa,FLPH Tibet Expedition,12-1818,20120919,西藏自治区,2300~3000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01958479.jpg,,,,,,,,,, +大果冷水花,Pilea macrocarpa,刘正宇,2020629,20020408,云南省,1000,阴湿林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0036205.jpg,,,,,,,,,, +念珠冷水花,Pilea macrocarpa,刘梦飞,610,19810924,河北省,1300~1200,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC037348.jpg,,,,,,,,,, +串珠毛冷水花,Pilea multicellularis,FLPH Tibet Expedition,12-1247,20120915,西藏自治区,1500,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02283643.jpg,,,,,,,,,, +串珠毛冷水花,Pilea multicellularis,Gaoligong Shan Biodiversity Survey,34463,20060901,云南省,2240,subtropical evergreen broadleaf forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865740.jpg,,,,,,,,,, +串珠毛冷水花,Pilea multicellularis,吉首大学生物资源与环境科学学院,GWJ20170611_0478,20170611,湖南,402,山谷林下,草本,无花无果,https://image.cvh.ac.cn/files/l/JIU/JIU46797.jpg,,,,,,,,,, +,Pilea myriantha,,,,,,,,,,,,,,,,,,, +,Pilea pauciflora,邓良,4293,19570417,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/024152.jpg,,,,,,,,,, +少花冷水花,Pilea pauciflora,杨金财、胡仁传、刘静等,LH0336,20110830,广西壮族自治区,260,"山坡密林, 少见",直立草本,,https://image.cvh.ac.cn/files/l/IBK/IBK00307019.jpg,,,,,,,,,, +冷水花属,Pilea pauciflora,植物DNA条形码 滇东南考察队,GBOWS017,20100107,云南省,1490,林缘路边,,,https://image.cvh.ac.cn/files/l/KUN/1277179.jpg,,,,,,,,,, +赤车冷水花,Pilea pellionioides,T.T.Yu,19996,19370827,云南省,1850,under woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01843968.jpg,,,,,,,,,, +赤车冷水花,Pilea pellionioides,李振宇,s.n.,19800605,北京市,,温室栽,,有花无果,https://image.cvh.ac.cn/files/l/PE/00473624.jpg,,,,,,,,,, +,Pimpinella caudata,王乾、顾健,SCW0642,20190824,四川,3757,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0267338.jpg,,,,,,,,,, +尾尖茴芹,Pimpinella caudata,蔡希陶,57657,,云南省 ,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0464163.jpg,,,,,,,,,, +,Pimpinella caudata,"Delavay, J.M.",3901,,,,,,,https://image.cvh.ac.cn/files/l/P/P00752668.jpg,,,,,,,,,, +中甸茴芹,Pimpinella chungdienensis,PE西藏队,PE6411,20170911,西藏自治区,2969,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330295.jpg,,,,,,,,,, +中甸茴芹,Pimpinella chungdienensis,方震东、和光,XZ-032,20070920,云南,2592,云南松林,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008442.jpg,,,,,,,,,, +,Pimpinella chungdienensis,彭玉兰、涂卫国、幸福,Gaoxf0198,20080716,四川,3860,高山灌丛,,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0238186.jpg,,,,,,,,,, +,Pimpinella filipedicellata,W.L.Cheng,316,19910925,西藏自治区,3080,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00040106.jpg,,,,,,,,,, +,Pimpinella kingdon-wardii,尹志坚等,1707,20090723,云南省,3050,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01925437.jpg,,,,,,,,,, +,Pimpinella kingdon-wardii,"Forrest, George",8800,12-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00000477.jpg,,,,,,,,,, +,Pimpinella kingdon-wardii,赵清盛、师进斌,119446,1983-8 1,四川省,1150,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094185.jpg,,,,,,,,,, +丽江茴芹,Pimpinella rockii,北京所横断山队,2354,19810730,云南省,3400~3800,Abies林缘草地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129901.jpg,,,,,,,,,, +少花茴芹,Pimpinella rubescens,联大,21619,,云南省 ,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0464342.jpg,,,,,,,,,, +,Pimpinella rubescens,"Delavay, J.M.",,1887-7-18,,,,,,https://image.cvh.ac.cn/files/l/P/P02519798.jpg,,,,,,,,,, +少花茴芹,Pimpinella rubescens,,735,19270807,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00759965.jpg,,,,,,,,,, +木里茴芹,Pimpinella silvatica,青藏队,1213,19810617,云南省,,高山 松林下 沼地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129902.jpg,,,,,,,,,, +木里茴芹,Pimpinella silvatica,,5471,19740810,四川省,2900,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00039772.jpg,,,,,,,,,, +木里茴芹,Pimpinella silvatica,,186,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075284.jpg,,,,,,,,,, +,Pimpinella xizangensis,青藏队补点组,750624,19750716,西藏自治区,2710,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00744500.jpg,,,,,,,,,, +,Pinalia acervata,,,,,,,,,,,,,,,,,,, +粗茎苹兰,Pinalia amica,刘成,冯明建,何俊,20CS19884,20200827,云南,2307,栲,珍珠花林树上,附生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505904.jpg,,,,,,,,,, +,Pinalia apertiflora,,,,,,,,,,,,,,,,,,, +双点萍兰,Pinalia bipunctata,黄宝优、姚积军、谢月英,451026141014013LY,20141014,广西壮族自治区,1111,阔叶林、林下,石灰土,,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0103550.jpg,,,,,,,,,, +双点苹兰,Pinalia bipunctata,李永亮,LiYL1522,20160401,云南,1720,南亚热带针阔混交林石灰岩裸露地,附生植物,无花无果,https://image.cvh.ac.cn/files/l/KUN/1439723.jpg,,,,,,,,,, +,Pinalia bractescens,,,,,,,,,,,,,,,,,,, +,Pinalia conferta,,,,,,,,,,,,,,,,,,, +,Pinalia connata,,,,,,,,,,,,,,,,,,, +,Pinalia excavata,,,,,,,,,,,,,,,,,,, +,Pinalia globulifera,,,,,,,,,,,,,,,,,,, +禾颐苹兰,Pinalia graminifolia,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201089,20200721,西藏,2224,岩石上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507881.jpg,,,,,,,,,, +厚叶苹兰,Pinalia pachyphylla,张挺,刘恩德,郭永杰,13CS7625,20130528,西藏,770,林缘岩石上,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1394220.jpg,,,,,,,,,, +,Pinalia pumila,,,,,,,,,,,,,,,,,,, +,Pinalia salwinensis,,,,,,,,,,,,,,,,,,, +,Pinalia sharmae,,,,,,,,,,,,,,,,,,, +,Pinalia spicata,"郭永杰, 胡枭剑, 李涟漪, 赵国庆",18CS17119,20180904,云南,1554,亚热带常绿阔叶林下路边,附生植物,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486606.jpg,,,,,,,,,, +密花毛兰,Pinalia spicata,彭玉德、李金花、莫连兰,451031141030049LY,20141030,广西,,阔叶林,林下,石灰土,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0191779.jpg,,,,,,,,,, +密花苹兰,Pinalia spicata,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201273,20200726,西藏,2958,农田边林中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505544.jpg,,,,,,,,,, +,Pinalia stricta,"刘恩德, 邹娇, 董洪进, 肖波, 周天, 赵晨光, 陈志坚",LED9352,20191216,云南,1132,林中树上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1495452.jpg,,,,,,,,,, +鹅白苹兰,Pinalia stricta,金效华,李剑武,王喜龙,王程旺,19115,20171110,西藏,1077,半常绿阔叶林,附生植物,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030532.jpg,,,,,,,,,, +变色山槟榔,Pinanga baviensis,C.W.Wang,77030,193606,云南省 ,1200,"ravine,under heavy shade,very moist",,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00538741.jpg,,,,,,,,,, +,Pinanga baviensis,"李渤生,程树志",3809,19830324,西藏自治区,710,江边林下常见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01468144.jpg,,,,,,,,,, +假山槟榔,Pinanga baviensis,海南植物调查队,222,19540424,海南,0,山缓坡阴处林中,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0364749.jpg,,,,,,,,,, +纤细山槟榔,Pinanga gracilis,陈伟烈,10952,19800707,西藏自治区,750,河谷半常绿林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/02098891.jpg,,,,,,,,,, +纤细山槟榔,Pinanga gracilis,刘成,蔡杰,张书东,13CS6458,20130529,西藏,863,路边,灌木,,https://image.cvh.ac.cn/files/l/KUN/1393499.jpg,,,,,,,,,, +纤细山槟榔,Pinanga gracilis,陶国达,13186,19741105,云南省,400,林中干燥,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0364744.jpg,,,,,,,,,, +六列山槟榔,Pinanga hexasticha,陈三阳,王慷林,14338,19961218,云南省,400,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1248130.jpg,,,,,,,,,, +六列山槟榔,Pinanga hexasticha,孙航,周浙昆,俞宏渊,1729,19921128,西藏自治区,650,in forest,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0364740.jpg,,,,,,,,,, +半夏,Pinellia ternata,张粤、苏道岩、魏志文、王艳林,XM1238,20160717,内蒙古自治区通辽市,347.2,草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0240458.jpg,,,,,,,,,, +半夏,Pinellia ternata,张续祝,津武195,19720915,天津市,,药地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240621.jpg,,,,,,,,,, +半夏,Pinellia ternata,李际东,108,20030426,湖南省,300,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01788615.jpg,,,,,,,,,, +华山松,Pinus armandii,S.T.Wang,64,1935.5.3.,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0011291.jpg,,,,,,,,,, +华山松,Pinus armandii,禹平华,563,1957/8/23,贵州,1200,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0195952.jpg,,,,,,,,,, +华山松,Pinus armandii,,,,浙江,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF1002222.jpg,,,,,,,,,, +,Pinus arunachalensis,,,,,,,,,,,,,,,,,,, +,Pinus bhutanica,B.Barhtolomew et D.E.Boufford,3894,19860401,,3050,evergreen forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00145733.jpg,,,,,,,,,, +,Pinus bhutanica,孙航,周浙昆,俞宏渊,1388,19921115,西藏自治区,1400,in forest,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0141873.jpg,,,,,,,,,, +不丹松,Pinus bhutanica,"刘成, 亚吉东, 何华杰, 李昌洪",16CS14024,20161121,西藏,1587,不丹松林,乔木,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1450257.jpg,,,,,,,,,, +高山松,Pinus densata,"西藏东部,张经炜,王金亭",388,19660616,西藏自治区,2270,小土山上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086572.jpg,,,,,,,,,, +高山松,Pinus densata,H.H.Chung,,19181027,,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/00008909.jpg,,,,,,,,,, +高山松,Pinus densata,T.T.Yu,3822,19340816,海南省,2800,"mt,slope onen Dlace",,无花无果,https://image.cvh.ac.cn/files/l/PE/00004150.jpg,,,,,,,,,, +喜马拉雅白皮松,Pinus gerardiana,西藏队,76-8161,19760703,西藏自治区,2700,林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00004832.jpg,,,,,,,,,, +西藏白皮松,Pinus gerardiana,"武素功,费勇,杨永平",10,19950919,,,无,,,https://image.cvh.ac.cn/files/l/KUN/1293769.jpg,,,,,,,,,, +,Pinus kesiya,张本能,406005,19711226,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00039671.jpg,,,,,,,,,, +思茅松,Pinus kesiya,孙航,周浙昆,俞宏渊,3469,19930219,西藏自治区,1300,on slope,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0142116.jpg,,,,,,,,,, +思茅松,Pinus kesiya,李楠,3556,19970929,海南省,500,,,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00034967.jpg,,,,,,,,,, +,Pinus ravii,,,,,,,,,,,,,,,,,,, +西藏长叶松,Pinus roxburghii,叶培忠,101027,19780300,江苏,,南林树木园,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF1001585.jpg,,,,,,,,,, +喜马拉雅长叶松,Pinus roxburghii,,10079,19820900,西藏自治区,2500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00982753.jpg,,,,,,,,,, +西藏长叶松,Pinus roxburghii,邹惠渝,,19820916,西藏,2260,山坡中,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF1001582.jpg,,,,,,,,,, +乔松,Pinus wallichiana,"陈又生,张树仁,于胜祥等",242,20111009,西藏自治区,3155,山谷混交林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967982.jpg,,,,,,,,,, +乔松,Pinus wallichiana,泛喜马拉雅植物志巴基斯坦采集队,FPH-0179,20120619,,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005026.jpg,,,,,,,,,, +乔松,Pinus wallichiana,"邓坤枚,黄晓鹤",269,19830815,四川省,3800,冷杉林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00982848.jpg,,,,,,,,,, +云南松,Pinus yunnanensis,徐家武,袁玉川,罗增阳等,NJWLS631,20091111,云南,2300,针阔混交林,乔木,,https://image.cvh.ac.cn/files/l/KUN/1405052.jpg,,,,,,,,,, +云南松,Pinus yunnanensis,M. T. MastersE. H. Wilson,"3077, 1396",,"云南, 四川; Yunnan, Szec",,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00000772.jpg,,,,,,,,,, +云南松,Pinus yunnanensis,广西调查队,2947,19530700,广西壮族自治区,200,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980080.jpg,,,,,,,,,, +,Piper arunachalense,,,,,,,,,,,,,,,,,,, +,Piper betle,北京大学,1451,19071217,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00124582.jpg,,,,,,,,,, +,Piper betle,中苏队,,,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0434224.jpg,,,,,,,,,, +,Piper betle,北京青年队,1318,19860905,广西壮族自治区,200~250,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00124586.jpg,,,,,,,,,, +,Piper betleoides,,,,,,,,,,,,,,,,,,, +,Piper boehmeriifolium,中国人民解放军166医院,s.n.,19771021,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00014677.jpg,,,,,,,,,, +苎叶蒟 ,Piper boehmeriifolium,环江县普查队,451226130313060LY,20130313,广西,518,阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0112365.jpg,,,,,,,,,, +苎叶蒟,Piper boehmeriifolium,王晖,425,20120412,马来半岛,473,路边林缘,乔木,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00010719.jpg,,,,,,,,,, +,Piper curtistipes,,,,,,,,,,,,,,,,,,, +,Piper diffusum,,5667,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00124741.jpg,,,,,,,,,, +,Piper griffithii,,,,,,,,,,,,,,,,,,, +山蒟,Piper hancei,刀卫凉、马迎,,19870730,云南,,,,有花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0001858.jpg,,,,,,,,,, +,Piper hancei,北京队,1175,19880606,湖南省,600,山坡岩壁下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802345.jpg,,,,,,,,,, +山蒟,Piper hancei,张代贵,phx057,20080620,湖北神农架林区,,山地溪边,攀援藤本,无花无果,https://image.cvh.ac.cn/files/l/JIU/JIU68121.jpg,,,,,,,,,, +,Piper haridasanii,,,,,,,,,,,,,,,,,,, +,Piper hymenophyllum,,,,,,,,,,,,,,,,,,, +,Piper indicum,,,,,,,,,,,,,,,,,,, +,Piper infossum,陈伟烈,10863,19800701,西藏自治区,1100,林下 灌木上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01555338.jpg,,,,,,,,,, +沉果胡椒,Piper infossum,李渤生、程树志,4738,1983-05-,西藏省,800M,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0129384.jpg,,,,,,,,,, +,Piper infossum var. nudum,陈伟烈,10863,19800701,西藏自治区,1100,林下 灌木上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01555338.jpg,,,,,,,,,, +风藤,Piper kadsura,章绍尧,5713,19590612,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00124946.jpg,,,,,,,,,, +风藤,Piper kadsura,岳俊三,3079,19570624,安徽省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00278546.jpg,,,,,,,,,, +风藤,Piper kadsura,"朱鑫鑫,王君,王美华",ZXX211207,20210720,湖北,232,溪边石壁上,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0222869.jpg,,,,,,,,,, +荜拔,Piper longum,张代贵,73,20091122,云南西双版纳,,林中,藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU29161.jpg,,,,,,,,,, +筚茇,Piper longum,贾彧,522325190410224LY,20190410,贵州,590,灌丛、中生、阳性、中温、野生酸性土植物,灌木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0094107.jpg,,,,,,,,,, +荜拔,Piper longum,,6069,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00125013.jpg,,,,,,,,,, +粗梗胡椒,Piper macropodum,"李渤生,程树志",5140,19830617,西藏自治区,1850,常绿阔叶林树上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555368.jpg,,,,,,,,,, +粗梗胡椒,Piper macropodum,Y.T.siang,12411,19330000,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00125038.jpg,,,,,,,,,, +粗梗胡椒,Piper macropodum,A.Henry,10726,空,云南,4000 ft,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0000676.jpg,,,,,,,,,, +,Piper makruense,,,,,,,,,,,,,,,,,,, +短?,Piper mullesua,Y.Tsiang,12392,19330000,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00125064.jpg,,,,,,,,,, +,Piper mullesua,刘成,蔡杰,张书东,13CS6462,20130529,西藏,810,林缘路边,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1320904.jpg,,,,,,,,,, +短?,Piper mullesua,蔡希陶,58486,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0434837.jpg,,,,,,,,,, +胡椒,Piper nigrum,李沛琼,3072,19950325,云南省 ,,,藤木,,https://image.cvh.ac.cn/files/l/SZG/SZG00007288.jpg,,,,,,,,,, +胡椒,Piper nigrum,莫渝,8057,19600815,广东,,栽培,草本,无花无果,https://image.cvh.ac.cn/files/l/GAC/GAC0002019.jpg,,,,,,,,,, +胡椒,Piper nigrum,澎莫横,,19890908,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HUFD/0002382.jpg,,,,,,,,,, +,Piper nirjulianum,,,,,,,,,,,,,,,,,,, +角果胡椒,Piper pedicellatum,赵以民、黎宁芬、钟晟哲、林启龙、陆萃红、韦筱媚,451030140418004LY,20140418,广西壮族自治区,1278,,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0154701.jpg,,,,,,,,,, +角果胡椒,Piper pedicellatum,M. K. Li,953,19391030,云南省 ,1700,"under mixed forests, abundant",shrub,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00385655.jpg,,,,,,,,,, +角果胡椒,Piper pedicellatum,黔北队,599,19590606,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/SHM/SHM0003630.jpg,,,,,,,,,, +,Piper peepuloides,,,,,,,,,,,,,,,,,,, +,Piper peltatifolium,,,,,,,,,,,,,,,,,,, +,Piper petiolatum,刘成,蔡杰,张书东,13CS6464,20130529,西藏,735,附生于树上,附生植物,无花有果,https://image.cvh.ac.cn/files/l/KUN/1320906.jpg,,,,,,,,,, +,Piper petiolatum,青藏队,4416,19740820,西藏自治区,1750,山坡,阔叶林中,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0434753.jpg,,,,,,,,,, +,Piper pseudopedicellatum,,,,,,,,,,,,,,,,,,, +,Piper rhytidocarpum,,,,,,,,,,,,,,,,,,, +假 ?,Piper sarmentosum,刘心祈,27459,19360709,海南省 ,0,Sense woods,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0435273.jpg,,,,,,,,,, +,Piper sarmentosum,汪振儒,213,19331112,梧州,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0004133.jpg,,,,,,,,,, +假蒟,Piper sarmentosum,华南队,64,,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0129901.jpg,,,,,,,,,, +,Piper semiimmersum,刘成,蔡杰,张挺,刘恩德,张书东,13CS6405,20130527,西藏,833,林缘路边,附生植物,无花有果,https://image.cvh.ac.cn/files/l/KUN/1320907.jpg,,,,,,,,,, +缘毛胡椒,Piper semiimmersum,A.Henry,11037,空,云南,5000ft,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0000678.jpg,,,,,,,,,, +缘毛胡椒,Piper semiimmersum,南丹普查队,451221170814008LY,20170814,广西,800,阔叶林,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0198905.jpg,,,,,,,,,, +,Piper suipigua,青藏队,9303,19820813,云南省,1300~1400,山坡 常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00125154.jpg,,,,,,,,,, +,Piper suipigua,张挺,蔡杰,刘成,吴之坤,11CS2723,20110525,云南,1921,河边坡地,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1300574.jpg,,,,,,,,,, +,Piper suipigua,青藏队,4416,19740820,西藏自治区,1750,山坡阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00125411.jpg,,,,,,,,,, +,Piper sumatranum,,,,,,,,,,,,,,,,,,, +长柄胡椒,Piper sylvaticum,"李渤生,程树志",2794,19830207,西藏自治区,800~8500,半常绿雨林及江边Ficus林中多见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00125413.jpg,,,,,,,,,, +长柄胡椒,Piper sylvaticum,武素功,税玉民等,126,19951017,云南省,1700~1900,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0435341.jpg,,,,,,,,,, +长柄胡椒,Piper sylvaticum,李剑武,2981,20130321,云南,780,沟谷林下灌丛,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028315.jpg,,,,,,,,,, +,Piper thomsonii,李恒,李嵘,刀志灵,1360,20071012,云南,1600,次生林,灌木,,https://image.cvh.ac.cn/files/l/KUN/1234041.jpg,,,,,,,,,, +球穗胡椒,Piper thomsonii,吴磊,童毅,3460,20130426,广西省,,山坡密林,,,https://image.cvh.ac.cn/files/l/BNU/0029442.jpg,,,,,,,,,, +球穗胡椒,Piper thomsonii,生态室高原组,14120,19800808,西藏自治区,1500,攀缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01555367.jpg,,,,,,,,,, +,Piptanthus tomentosus,,,,,,,,,,,,,,,,,,, +,Piptatherum grandispiculum,,,,,,,,,,,,,,,,,,, +大薸,Pistia stratiotes,蓟普队,519,19720912,天津市,,水塘中 栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/01272290.jpg,,,,,,,,,, +大薸,Pistia stratiotes,"覃海宁,王印政,闫丽春,文香英,邓德山,唐赛春,农必明,张宪春,夏念和",770,19980413,广西壮族自治区,600,山地、沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017420.jpg,,,,,,,,,, +大薸,Pistia stratiotes,"陈耀东,郎青,马欣堂",1305,19850812,江西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780304.jpg,,,,,,,,,, +,Pittosporum angustilimbum,南水北调考察队,8312,19600608,云南省,1790,江边栎林下,石缝中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0486025.jpg,,,,,,,,,, +,Pittosporum angustilimbum,王作宾,9781,19380918,四川省,2500,omong bur hes,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0486028.jpg,,,,,,,,,, +异叶海桐,Pittosporum heterophyllum,C.W.Wang,88305,19400411,云南省,800,steep srcky hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/01974496.jpg,,,,,,,,,, +异叶海桐,Pittosporum heterophyllum,蔡希陶,51224,19320727,云南省 ,800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0201807.jpg,,,,,,,,,, +,Pittosporum heterophyllum,刀志灵,DZL461,20081014,云南,1949,次生林中,乔木,,https://image.cvh.ac.cn/files/l/KUN/1247660.jpg,,,,,,,,,, +石生海桐,Pittosporum saxicola,E.H.Wilson,3230,1903.8.20.,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0000880.jpg,,,,,,,,,, +,Pittosporum saxicola,"Wilson, Ernest Henry",3182,8-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00265110.jpg,,,,,,,,,, +石生海桐,Pittosporum saxicola,H. T. Tsai,89498,19400523,云南省 ,750,"lime stone,rocky hill",,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00348488.jpg,,,,,,,,,, +,Pityrogramma calomelanos,Y.Saiki,2271,19821111,台湾省,800,rocky clevices of roadside,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00599040.jpg,,,,,,,,,, +,Pityrogramma calomelanos,蒋日红等,251,20090923,广西壮族自治区,470,路旁,山坡,石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01870375.jpg,,,,,,,,,, +粉叶蕨,Pityrogramma calomelanos,周喜乐、严岳鸿、杜诚,ZXL09775,20141119,碧武里府,757,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0110403.jpg,,,,,,,,,, +粉背瘤足蕨,Plagiogyria glauca,王启无,68718,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00050835.jpg,,,,,,,,,, +灰背瘤足蕨,Plagiogyria glauca,胡玉佳,杨玲,T98,20140802,四川省,2310,阔叶林下,中小型蕨类,无孢子囊,https://image.cvh.ac.cn/files/l/JJF/JJF00039278.jpg,,,,,,,,,, +台湾瘤足蕨,Plagiogyria glauca,D.Z.Fu & X.C.Zhang,96023,19960600,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02055726.jpg,,,,,,,,,, +大叶瘤足蕨,Plagiogyria pycnophylla,卫然,WR0450,20161030,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02088373.jpg,,,,,,,,,, +大叶瘤足蕨,Plagiogyria pycnophylla,South Tibet Expedition Team(STET),STET2754,20100812,西藏自治区,3000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02013456.jpg,,,,,,,,,, +密羽瘤足蕨,Plagiogyria pycnophylla,"朱鑫鑫, 王君, 林庶",ZXX191699,20191206,云南,2306,亚热带常绿阔叶林,林边,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1485786.jpg,,,,,,,,,, +苣叶车前,Plantago perssonii,青藏队,993,19870814,新疆维吾尔自治区,3000~3200,山坡岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01324187.jpg,,,,,,,,,, +,Platanthera arcuata,M.Togasi,1422,19561018,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01633721.jpg,,,,,,,,,, +,Platanthera arcuata,陈伟烈,14325,19800819,西藏自治区,1800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01446170.jpg,,,,,,,,,, +滇藏舌唇兰,Platanthera bakeriana,不祥,22483,19590728,云南省 ,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/46170.jpg,,,,,,,,,, +滇藏舌唇兰,Platanthera bakeriana,张挺,郭永杰,刘成,杨娟,孙之星,张云川,08CS587,20080902,云南,3789,高山杜鹃林溪边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1394222.jpg,,,,,,,,,, +滇藏舌唇兰,Platanthera bakeriana,藏南考察队,STET1679,20100730,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867211.jpg,,,,,,,,,, +,Platanthera bhutanica,,,,,,,,,,,,,,,,,,, +察瓦龙舌唇兰,Platanthera chiloglossa,"X.H.Jin,Y.S.Chen,H.Q.Li etc.",DLJ-ET1914,20080711,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032883.jpg,,,,,,,,,, +,Platanthera chiloglossa,,,,,,,,,,,,,,,,,,, +察瓦龙舌唇兰,Platanthera chiloglossa,张挺,刘成,何华杰,19CS18190,20190907,西藏,3761,高山灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506461.jpg,,,,,,,,,, +二叶舌唇兰,Platanthera chlorantha,周太炎等,761,19590515,山东省,,阴湿草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00559175.jpg,,,,,,,,,, +二叶舌唇兰,Platanthera chlorantha,"王忠涛,曲上,徐连升",140245,20140613,河北省,887,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230187.jpg,,,,,,,,,, +二叶舌唇兰,Platanthera chlorantha,何景,2262,0,福建省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/433369.jpg,,,,,,,,,, +藏南舌唇兰,Platanthera clavigera,傅国勋,10922,19600723,西藏自治区,3000,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230223.jpg,,,,,,,,,, +藏南舌唇兰,Platanthera clavigera,何华杰,张书东,81313,20080923,西藏,2664,林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1394223.jpg,,,,,,,,,, +,Platanthera contigua,,,,,,,,,,,,,,,,,,, +弓背舌唇兰,Platanthera curvata,徐?贵,6103,19950721,四川省,2030,肥土上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867233.jpg,,,,,,,,,, +,Platanthera densa,,,,,,,,,,,,,,,,,,, +,Platanthera dulongensis,,,,,,,,,,,,,,,,,,, +,Platanthera dyeriana,,,,,,,,,,,,,,,,,,, +高原舌唇兰,Platanthera exelliana,陈文允,于文涛,黄永江,CYH172,20100913,四川,3282,草坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1394230.jpg,,,,,,,,,, +高原舌唇兰,Platanthera exelliana,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485373.jpg,,,,,,,,,, +高原舌唇兰,Platanthera exelliana,魏来 何毅,BNUXZ2016492,20160730,西藏,3200,山坡林缘,,,https://image.cvh.ac.cn/files/l/BNU/0028003.jpg,,,,,,,,,, +贡山舌唇山,Platanthera handel-mazzettii,罗毅波,652,20010813,四川省,3633,沟口溪旁林下枯树干上苔藓丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867239.jpg,,,,,,,,,, +贡山舌唇山,Platanthera handel-mazzettii,Jin Xiaohua,9176,20070807,云南省,3633,in bushland,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867238.jpg,,,,,,,,,, +贡山舌唇山,Platanthera handel-mazzettii,金效华,9123,20070801,云南,3255,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825376.jpg,,,,,,,,,, +,Platanthera herminioides,,,,,,,,,,,,,,,,,,, +小巧舌唇兰,Platanthera juncea,税玉民,2882,19930722,云南省,2940,土山地 山坡密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032818.jpg,,,,,,,,,, +小巧舌唇兰,Platanthera juncea,藏南考察队,STET2854,20100812,西藏自治区,2800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01867248.jpg,,,,,,,,,, +白鹤参,Platanthera latilabris,"朱鑫鑫, 林庶, 胡梦杰",ZXX191254,20190912,云南,2847,亚热带针叶林,林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1483419.jpg,,,,,,,,,, +白鹤参,Platanthera latilabris,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00729331.jpg,,,,,,,,,, +白鹤参,Platanthera latilabris,青藏队,14888,19831001,四川省,2400,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01147556.jpg,,,,,,,,,, +条叶舌唇兰,Platanthera leptocaulon,藏南考察队,STET1290,20100727,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867263.jpg,,,,,,,,,, +条叶舌唇兰,Platanthera leptocaulon,金效华,9121,20070801,云南,3255,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825367.jpg,,,,,,,,,, +条叶舌唇兰,Platanthera leptocaulon,青藏队,12965,19830819,四川省,3600,山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01147560.jpg,,,,,,,,,, +,Platanthera likiangensis,,,,,,,,,,,,,,,,,,, +,Platanthera milinensis,,,,,,,,,,,,,,,,,,, +小花舌唇兰,Platanthera minutiflora,曾宪锋,ZXF01463,20060303,广东省,620,,草本,,https://image.cvh.ac.cn/files/l/CZH/CZH0016411.jpg,,,,,,,,,, +小花舌唇兰,Platanthera minutiflora,金效华,8218,20060630,甘肃省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825369.jpg,,,,,,,,,, +小花舌唇兰,Platanthera minutiflora,K.T.Fu,2484,1938/7/28,陕西,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0029053.jpg,,,,,,,,,, +小巧舌唇兰,Platanthera nematocaulon,张挺,刘成,左政裕,姜虹,李昌洪,19CS18369,20190715,四川,2514,云杉林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506410.jpg,,,,,,,,,, +,Platanthera opsimantha,,,,,,,,,,,,,,,,,,, +,Platanthera orbicularis,,,,,,,,,,,,,,,,,,, +,Platanthera oreophila,,,,,,,,,,,,,,,,,,, +棒距舌唇兰,Platanthera roseotincta,G.Forrest,26959,19240000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0642177.jpg,,,,,,,,,, +棒距舌唇兰,Platanthera roseotincta,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T160,20160915,西藏自治区,3602,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233049.jpg,,,,,,,,,, +棒距舌唇兰,Platanthera roseotincta,金效华,8410,20060828,云南省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033381.jpg,,,,,,,,,, +长瓣舌唇兰,Platanthera sikkimensis,金效华,9136,20070802,云南省,2662,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825373.jpg,,,,,,,,,, +长瓣舌唇兰,Platanthera sikkimensis,金效华,9136,20070802,云南,2662,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825373.jpg,,,,,,,,,, +,Platanthera sinica,,,,,,,,,,,,,,,,,,, +条瓣舌唇兰,Platanthera stenantha,周浙昆,苏涛,杨莹,张芳茗,李国锋,黄永江,Zhou09-049,20091013,云南,3171,阔叶林边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1394234.jpg,,,,,,,,,, +条瓣舌唇兰,Platanthera stenantha,朱鑫鑫;王君;王美华;林庶;许敏;多吉;尼玛顿珠,ZXX201419,20200801,西藏,2612,水边林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508944.jpg,,,,,,,,,, +条瓣舌唇兰,Platanthera stenantha,R.P. Farges,4163,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028578.jpg,,,,,,,,,, +,Platanthera stenophylla,,,,,,,,,,,,,,,,,,, +,Platanthera urceolata,,,,,,,,,,,,,,,,,,, +,Platanthera yadongensis,,,,,,,,,,,,,,,,,,, +侧柏,Platycladus orientalis,,1226,19600709,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00207204.jpg,,,,,,,,,, +侧柏,Platycladus orientalis,张志和等,3821,19890816,青海省,2322,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00063453.jpg,,,,,,,,,, +侧柏,Platycladus orientalis,孔冬梅,k0218,20140706,山西省,494,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02041037.jpg,,,,,,,,,, +宽框荠,Platycraspedum tibeticum,秦自生,6310,19740614,四川省,4300,水沟边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01161746.jpg,,,,,,,,,, +宽框荠,Platycraspedum tibeticum,高信芬、黎怀诚,THP-KD-0371,20170602,四川,3932,,一年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244264.jpg,,,,,,,,,, +吴氏宽荠,Platycraspedum wuchengyii,青藏科考队,12038,19760627,西藏自治区,4000,河边湿地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432108.jpg,,,,,,,,,, +吴氏宽荠,Platycraspedum wuchengyii,卻建华等,112,20070507,云南省,3300,grassy slope,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0137749.jpg,,,,,,,,,, +吴氏宽框荠,Platycraspedum wuchengyii,"朱鑫鑫,安宇梦",ZXX18203,20180626,青海,3758,高原亚寒带高山流石滩,二年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435801.jpg,,,,,,,,,, +,Platygyria × inaequibasis,青藏队,10805,19820927,西藏自治区,3600~3700,山坡栎林下,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1222738.jpg,,,,,,,,,, +,Platygyria × inaequibasis,青藏队,11260,19830618,四川省,2500,山坡松栎林下,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1222737.jpg,,,,,,,,,, +,Platygyria × inaequibasis,青藏队,3665,19810723,云南省,3600,山坡高山栎林下岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1222739.jpg,,,,,,,,,, +,Pleione arunachalensis,,,,,,,,,,,,,,,,,,, +独蒜兰,Pleione bulbocodioides,张挺,郭永杰,易思荣等,10CS1690,20100506,重庆,1618,林中,草本,,https://image.cvh.ac.cn/files/l/KUN/1394238.jpg,,,,,,,,,, +独蒜兰,Pleione bulbocodioides,植物地理调查队,413,19780707,重庆市,1700,林下石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01273341.jpg,,,,,,,,,, +独蒜兰,Pleione bulbocodioides,王启无,66439,19350900,西藏自治区,3400,pine forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00850771.jpg,,,,,,,,,, +大花独蒜兰,Pleione grandiflora,"李渤生,程树志",4362,19830428,西藏自治区,1900~2300,常绿阔叶林树上多见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01446176.jpg,,,,,,,,,, +大花独蒜兰,Pleione grandiflora,刘成、亚吉东、付超男、莫明忠,15CS10033,20150416,云南,2376,附生于疏齿栲树上,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1394244.jpg,,,,,,,,,, +大花独蒜兰,Pleione grandiflora,俞德浚,17944,19381008,云南省,2500,on grassy slope or on trunk of trees,,有花无果,https://image.cvh.ac.cn/files/l/KUN/433530.jpg,,,,,,,,,, +毛唇独蒜兰,Pleione hookeriana,黄汉东,鲍大川,谢家荣,李胜,孔文学,1305,20150410,湖北,350,潮湿石壁上,草木,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0140616.jpg,,,,,,,,,, +毛唇独蒜兰,Pleione hookeriana,金效华,8926A,20070321,云南省,,Epiphytic on rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825359.jpg,,,,,,,,,, +毛唇独蒜兰,Pleione hookeriana,花坪自然保护区植物区系考察队,H0051,20060415,广西壮族自治区,1800,山地,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01997900.jpg,,,,,,,,,, +,Pleione humilis,,,,,,,,,,,,,,,,,,, +秋花独蒜兰,Pleione maculata,张伟,ZW017,20161001,云南,1800,溪边石壁,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1498269.jpg,,,,,,,,,, +疣鞘独蒜兰,Pleione praecox,生态室高原组,11311,19800727,西藏自治区,1900,附生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01446184.jpg,,,,,,,,,, +疣鞘独蒜兰,Pleione praecox,B.Krishna,2114,19811215,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0642302.jpg,,,,,,,,,, +疣鞘独蒜兰,Pleione praecox,张伟,ZW016,20171001,云南,,林中有腐殖质的石上,树干,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1498268.jpg,,,,,,,,,, +岩生独蒜兰,Pleione saxicola,张伟,ZW014,20171000,云南,,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1498266.jpg,,,,,,,,,, +岩生独蒜兰,Pleione saxicola,"刘成, 亚吉东",18CS17152,20181108,西藏,2317,潮湿岩壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487277.jpg,,,,,,,,,, +岩生独蒜兰,Pleione saxicola,K.M.Feng,7914,19400920,云南省,2500,岩壁上沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00027205.jpg,,,,,,,,,, +二叶独蒜兰,Pleione scopulorum,青藏队,11893,19830709,四川省,2900,山沟 栎林下 岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01147481.jpg,,,,,,,,,, +二叶独蒜兰,Pleione scopulorum,金效华,7923,20050829,云南省,3060,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01526087.jpg,,,,,,,,,, +二叶独蒜兰,Pleione scopulorum,Forrest,19618,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028337.jpg,,,,,,,,,, +黄腺羽蕨,Pleocnemia winitii,,s.n.,,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01454152.jpg,,,,,,,,,, +黄腺羽蕨,Pleocnemia winitii,侯宽昭,71835,19350411,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00036673.jpg,,,,,,,,,, +黄腺羽蕨,Pleocnemia winitii,严岳鸿,1781,20030800,广东省,150,山谷林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01784558.jpg,,,,,,,,,, +芳香棱子芹,Pleurospermum aromaticum,青藏队横断山队,4022,19810809,四川省,3850,山沟内林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01129917.jpg,,,,,,,,,, +芳香棱子芹,Pleurospermum aromaticum,T.P.Wang,650,19310716,河北省,,in valley,,有花有果,https://image.cvh.ac.cn/files/l/PE/00744645.jpg,,,,,,,,,, +芳香棱子芹,Pleurospermum aromaticum,赵致光,30418,19390728,云南省,,砂砾地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00744641.jpg,,,,,,,,,, +雅江棱子芹,Pleurospermum astrantioideum,K.M.Liou,7174,1936/9/28,青海,2290,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0067335.jpg,,,,,,,,,, +雅江棱子芹,Pleurospermum astrantioideum,Gail Berg,2002-30,20020724,西藏自治区,4561,shrubby grassland steep mid slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1204414.jpg,,,,,,,,,, +,Pleurospermum astrantioideum,"何兴金,王长宝,刘爽,易欣",SCU-09-009,20090821,四川省,4064,高山坡地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337045.jpg,,,,,,,,,, +,Pleurospermum bicolor,,28106,19290800,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00744654.jpg,,,,,,,,,, +,Pleurospermum bicolor,"Rock, Joseph Francis Charles",10781,19-Sep-23,,,,,,https://image.cvh.ac.cn/files/l/E/E00000156.jpg,,,,,,,,,, +二色棱子芹,Pleurospermum bicolor,张挺;亚吉东;杨娅娟;陈凯,16CS13957,20161017,四川,4190,高山灌草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1480845.jpg,,,,,,,,,, +,Pleurospermum calcareum,胡光万,HGW-00335,20081017,云南省,3100,山地,路边草丛,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337002.jpg,,,,,,,,,, +翼叶棱子芹,Pleurospermum decurrens,T.T.Yu,9007,19370715,云南省 ,4000,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0440951.jpg,,,,,,,,,, +翼叶棱子芹,Pleurospermum decurrens,"郎楷永,李良千,费勇",912,19820801,四川省,3500~3550,高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129934.jpg,,,,,,,,,, +翼叶棱子芹,Pleurospermum decurrens,"张挺, 刘成, 亚吉东",18CS17648,20180914,西藏,3245,高山栎,白叶花楸,密叶红豆杉林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1482773.jpg,,,,,,,,,, +丽江棱子芹,Pleurospermum foetens,Hopkingson,Ho.1163,1930/9/7,青海,4000,,herb,无花有果,https://image.cvh.ac.cn/files/l/WUK/0011033.jpg,,,,,,,,,, +丽江棱子芹,Pleurospermum foetens,"李新辉, 杨涛, 温昌润",Lixh6,20170906,云南,3781,高山流石滩,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445792.jpg,,,,,,,,,, +丽江棱子芹,Pleurospermum foetens,青藏队,2774,19810714,云南省,4300~4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129940.jpg,,,,,,,,,, +垫状棱子芹,Pleurospermum hedinii,青藏队,2772,19810714,云南省,4200,高山灌丛草地,草本直立,有花无果,https://image.cvh.ac.cn/files/l/KUN/0464649.jpg,,,,,,,,,, +垫状棱子芹,Pleurospermum hedinii,,,19760817,四川省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00029436.jpg,,,,,,,,,, +垫状棱子芹,Pleurospermum hedinii,王金亭,3510,19610710,西藏自治区,4850,山坡及山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045523.jpg,,,,,,,,,, +芷叶棱子芹,Pleurospermum heracleifolium,北京所横断山队,769,19810622,云南省,3500~3800,高山草甸及冷杉林内草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803069.jpg,,,,,,,,,, +芷叶棱子芹,Pleurospermum heracleifolium,青藏队植被组,1811,19740705,西藏自治区,4250,山顶亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00745036.jpg,,,,,,,,,, +,Pleurospermum heracleifolium,"Orléans, H. d'",,,,,,,,https://image.cvh.ac.cn/files/l/P/P00834539.jpg,,,,,,,,,, +异伞棱子芹,Pleurospermum heterosciadium,关保华;陈非洲;黄晓龙;殷春雨;赵钰;李华歆,CWP3GBH053,20200824,四川,4260,沼泽湿地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1559879.jpg,,,,,,,,,, +异伞棱子芹,Pleurospermum heterosciadium,BNU,LPS022,20120726,宁夏,2288,林下,草本,,https://image.cvh.ac.cn/files/l/BNU/0011726.jpg,,,,,,,,,, +异伞棱子芹,Pleurospermum heterosciadium,中甸队,1687,19620831,云南省,4000~4250,矮杜鹃灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00780076.jpg,,,,,,,,,, +线裂棱子芹,Pleurospermum linearilobum,陈实,137,1958/7/2,青海,,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0043394.jpg,,,,,,,,,, +,Pleurospermum linearilobum,George Forrest,6051,191007,西藏自治区,11000ft,Shady openings in pine and mixed forests on the eastern flank of the Lichiang Range,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU045438.jpg,,,,,,,,,, +线裂棱子芹,Pleurospermum linearilobum,郭本兆 何廷农,9408,19710811,青海省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/27283.jpg,,,,,,,,,, +长果棱子芹,Pleurospermum longicarpum,溥发鼎、曾万章,287,Oct-82,四川省,3600,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094298.jpg,,,,,,,,,, +,Pleurospermum longicarpum,傅国勋,613,19600821,西藏自治区,4100,山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00745131.jpg,,,,,,,,,, +长果棱子芹,Pleurospermum longicarpum,"张挺, 郭永杰, 吴之坤, 姜虹, 李贵能",16CS12656,20160821,四川,3850,公路边山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1454246.jpg,,,,,,,,,, +大苞棱子芹,Pleurospermum macrochlaenum,"李渤生,倪志诚,程树志",6214,19830808,西藏自治区,3600~4200,Abies林间草地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538821.jpg,,,,,,,,,, +大苞棱子芹,Pleurospermum macrochlaenum,"张挺, 刘成, 亚吉东",18CS17702,20180916,西藏,3960,路上方山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487396.jpg,,,,,,,,,, +,Pleurospermum nanum,"Delavay, J.M.",197,1884-9-25,,,,,,https://image.cvh.ac.cn/files/l/P/P00834544.jpg,,,,,,,,,, +矮棱子芹,Pleurospermum nanum,艾志林,14,1970/8/10,新疆,4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0290899.jpg,,,,,,,,,, +矮棱子芹,Pleurospermum nanum,青藏队,14043,19830913,四川省,3600,高山栎林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0464755.jpg,,,,,,,,,, +皱果棱子芹,Pleurospermum nubigenum,张英伯,663,19401101,云南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00039884.jpg,,,,,,,,,, +皱果棱子芹,Pleurospermum nubigenum,,321,,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715005093.jpg,,,,,,,,,, +皱果棱子芹,Pleurospermum nubigenum,,620,19590708,西藏自治区,5000,河阶石砾石质砂地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00745159.jpg,,,,,,,,,, +青藏棱子芹,Pleurospermum pulszkyi,"张大才, 尹五元, 李双智, 丁文谦, 何廷顺, 侯雄辉, 张明启",ZhangDC-07ZX-2186,20110919,四川,,云杉林缘空地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337086.jpg,,,,,,,,,, +,Pleurospermum pulszkyi,"陈世龙,张得钧,高庆波,张发起",ChenSL0436,20080811,四川省,3500,高山草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1337070.jpg,,,,,,,,,, +青藏棱子芹,Pleurospermum pulszkyi,秦官属,348,1973/10/24,云南,3400,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0483398.jpg,,,,,,,,,, +青海棱子芹,Pleurospermum szechenyii,K.S.Hao,1163,19300907,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00759983.jpg,,,,,,,,,, +青海棱子芹,Pleurospermum szechenyii,J.F.Rock,14178,19260600,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00759990.jpg,,,,,,,,,, +青海棱子芹,Pleurospermum szechenyii,朱格麟,3065,,,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00029474.jpg,,,,,,,,,, +泽库棱子芹,Pleurospermum tsekuense,"Ho Ting-nung,Bruce Bartholomew & Mike GiIbert",797,19930805,青海省,3980,Wet area with pool and hummock complex with stream flowing through.Drier areas.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00759994.jpg,,,,,,,,,, +泽库棱子芹,Pleurospermum tsekuense,"陈世龙, 高庆波, 张发起等",ChenSL1564,20110817,青海,,高山草甸,金露梅灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1337080.jpg,,,,,,,,,, +瘤果棱子芹,Pleurospermum wrightianum,K.M.Liou,6724,1936/8/23,青海,3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0067322.jpg,,,,,,,,,, +,Pleurospermum wrightianum,J. A. Souli??,,1895-7-12,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00062639.jpg,,,,,,,,,, +瘤果棱子芹,Pleurospermum wrightianum,T.N.Ho(HNWP) et al.,2003,19960818,青海省,3700,"Juniperus-Picea Betula community on steep rocky slope,trees mostly fairly widely spaced,rarely more than 4m high.",,有花有果,https://image.cvh.ac.cn/files/l/PE/00782043.jpg,,,,,,,,,, +双节早熟禾,Poa binodis,"应俊生,洪德元",65-886,19650806,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00039428.jpg,,,,,,,,,, +双节早熟禾,Poa binodis,K.L.Chu,7217,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00039360.jpg,,,,,,,,,, +双节早熟禾,Poa binodis,刘淼等,A10078,20050517,安徽省,800,生于空地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01645926.jpg,,,,,,,,,, +波密早熟禾,Poa bomiensis,应俊生 洪德元,650863,19650803,西藏自治区,4200,灌丛草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00039429.jpg,,,,,,,,,, +波密早熟禾,Poa bomiensis,不详,392,19890722,青海省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/003651.jpg,,,,,,,,,, +,Poa bomiensis,,,,,,,,,,,,,,,,,,, +云生早熟禾,Poa nubigena,王启无,65608,19350800,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00070176.jpg,,,,,,,,,, +云生早熟禾,Poa nubigena,田效文,样62(4),19820724,四川省,3780,疏林草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976987.jpg,,,,,,,,,, +云生早熟禾,Poa nubigena,C.W.Wang,64866,19350700,云南省,3000,Border of woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00977008.jpg,,,,,,,,,, +宿生早熟禾,Poa perennis,,227,19410920,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00977231.jpg,,,,,,,,,, +,Poa perennis,"Rock, J.F.",10685,1923,,,,,,https://image.cvh.ac.cn/files/l/E/E00381958.jpg,,,,,,,,,, +宿生早熟禾,Poa perennis,J.F.Rock,10685,19330805,云南省 ,2600,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00070183.jpg,,,,,,,,,, +青海早熟禾,Poa qinghaiensis,吴玉虎,33253,20050710,青海省,4200,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0214352.jpg,,,,,,,,,, +,Poa zhongdianensis,北京所横断山队,3109,19810817,云南省,3400~3600,云杉高山栎林空地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00039485.jpg,,,,,,,,,, +百日青,Podocarpus neriifolius,236 四川任务组,84,19710714,四川省,1050,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01535767.jpg,,,,,,,,,, +百日青,Podocarpus neriifolius,洪涛,97629,19600527,海南,800,溪旁,乔木,无花有果,https://image.cvh.ac.cn/files/l/NF/NF1005125.jpg,,,,,,,,,, +百日青,Podocarpus neriifolius,第二组,311,1965/09/,湖南,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0249855.jpg,,,,,,,,,, +柄唇兰,Podochilus khasianus,黄志,36122,19330102,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00146606.jpg,,,,,,,,,, +柄唇兰,Podochilus khasianus,罗金裕等,35688,19760308,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01997878.jpg,,,,,,,,,, +柄唇兰,Podochilus khasianus,,23378,,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00729895.jpg,,,,,,,,,, +云南朱兰,Pogonia yunnanensis,金效华,9152,20070802,云南,3018,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825381.jpg,,,,,,,,,, +云南朱兰,Pogonia yunnanensis,"Jin Xh,Wang LS,Wang Q et al.",ST1397,20130729,云南省,3400~3600,apline meadow,,无花无果,https://image.cvh.ac.cn/files/l/PE/01978473.jpg,,,,,,,,,, +云南朱兰,Pogonia yunnanensis,Forrest,11718,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028775.jpg,,,,,,,,,, +,Pogostemon dielsianus,,,,,,,,,,,,,,,,,,, +,Pogostemon hispidocalyx,,,,,,,,,,,,,,,,,,, +大杜若,Pollia hasskarlii,"李渤生,程树志",5024,19830610,西藏自治区,850,半常绿雨林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02237643.jpg,,,,,,,,,, +大杜若,Pollia hasskarlii,毕节队,1587,19590924,贵州省,650,路旁,灌木丛中,潮湿地,沟底,,有花有果,https://image.cvh.ac.cn/files/l/PE/02237639.jpg,,,,,,,,,, +大杜若,Pollia hasskarlii,章绍尧,1173,19770924,浙江省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0634278.jpg,,,,,,,,,, +长花枝杜若,Pollia secundiflora,Miyoshi Furuse,3412,19730612,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01127608.jpg,,,,,,,,,, +长花枝杜若,Pollia secundiflora,H.Fenzel,s.n.,,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0634439.jpg,,,,,,,,,, +长花枝杜若,Pollia secundiflora,华南综考队,56,19650606,海南省,0,盆地边缘山腰,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0634434.jpg,,,,,,,,,, +伞花杜若,Pollia subumbellata,华南队,1091,19890603,广西壮族自治区,450,山地、山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017533.jpg,,,,,,,,,, +伞花杜若,Pollia subumbellata,黄俞淞,梁永延等,Liuyan0020,20081016,广西,563,高灌小乔木林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390643.jpg,,,,,,,,,, +伞花杜若,Pollia subumbellata,C.W.Wang,77477,36080000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0634512.jpg,,,,,,,,,, +西藏暗罗,Polyalthia chinensis,青藏队,74-4451,19740820,西藏自治区,1000,山坡阔叶林内,乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/01187292.jpg,,,,,,,,,, +鸡爪树,Polyalthia suberosa,朱志淞,985,19511025,广东,,村中路旁,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00010513.jpg,,,,,,,,,, +暗罗,Polyalthia suberosa,港口区普查队,450602200925015LY,20200925,广西,~9,针阔混交林,林下,黄棕壤;少见;野生,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00426368.jpg,,,,,,,,,, +,Polyalthia suberosa,,,19190613,钦州,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0001289.jpg,,,,,,,,,, +,Polyalthiopsis chinensis,,,,,,,,,,,,,,,,,,, +,Polyalthiopsis verrucipes,,,,,,,,,,,,,,,,,,, +,Polygala lhunzeensis,,,,,,,,,,,,,,,,,,, +丽江远志,Polygala lijiangensis,施文良,570182,19570721,云南省,2950,野生,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0569590.jpg,,,,,,,,,, +,Polygala lijiangensis,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-025-B15,20160809,云南,,,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609119.jpg,,,,,,,,,, +丽江远志,Polygala lijiangensis,余奇,代文台,CIBYQ083B011,20190808,四川,1934,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1503297.jpg,,,,,,,,,, +,Polygonatum angelicum,,,,,,,,,,,,,,,,,,, +,Polygonatum autumnale,,,,,,,,,,,,,,,,,,, +,Polygonatum brevistylum,,,,,,,,,,,,,,,,,,, +棒丝黄精,Polygonatum cathcartii,王启无,64732,19350700,云南省 ,3000,pine forest,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00553225.jpg,,,,,,,,,, +棒丝黄精,Polygonatum cathcartii,PE西藏考察队,7507,20180617,西藏自治区,3821,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331786.jpg,,,,,,,,,, +棒丝黄精,Polygonatum cathcartii,"Jin Xh,Wang LS Wang Q et al.",ST1185,20130727,云南省,2400~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977047.jpg,,,,,,,,,, +卷叶黄精,Polygonatum cirrhifolium,黄土队,2577,1984/6/10,河南,950,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0455848.jpg,,,,,,,,,, +卷叶黄精,Polygonatum cirrhifolium,R.C.Ching,1135,1923/7/7,甘肃; KANSU,1750,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00023412.jpg,,,,,,,,,, +卷叶黄精,Polygonatum cirrhifolium,孙航等,3100,20101001,云南省,2029,"Shrub beside a brook,Slope near water",,无花有果,https://image.cvh.ac.cn/files/l/PE/01920737.jpg,,,,,,,,,, +垂叶黄精,Polygonatum curvistylum,岳俊三等,2966,1963/8/4,江西,390,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0220362.jpg,,,,,,,,,, +垂叶黄精,Polygonatum curvistylum,张珍万,1578,1961/10/8,陕西,1250,,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0482179.jpg,,,,,,,,,, +垂叶黄精,Polygonatum curvistylum,方文哲等,217,1960/8/21,江苏,420,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0220161.jpg,,,,,,,,,, +,Polygonatum graminifolium,,,,,,,,,,,,,,,,,,, +三脉黄精,Polygonatum griffithii,青藏队植被组,2195,19740825,西藏自治区,2180,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01532391.jpg,,,,,,,,,, +三脉黄精,Polygonatum griffithii,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11940,20161116,西藏,2121,中山湿性常绿阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445587.jpg,,,,,,,,,, +,Polygonatum hirtellum,郭本兆,11339,19750715,青海省,3450,阳坡,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00553284.jpg,,,,,,,,,, +粗毛黄精,Polygonatum hirtellum,"南水北调队,应俊生",4015,19600617,四川省,2900,密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00036829.jpg,,,,,,,,,, +粗毛黄精,Polygonatum hirtellum,余奇、熊先华、李琳霖,THP-KD-7043,20170817,四川,2427~3559,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0249816.jpg,,,,,,,,,, +独花黄精,Polygonatum hookeri,亚吉东,冯明建,李昌洪,20CS19117,20200705,云南,4561,流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505603.jpg,,,,,,,,,, +独花黄精,Polygonatum hookeri,"何铸,周子林",12666,19520000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791776.jpg,,,,,,,,,, +山荆子,Polygonatum hookeri,刘琦,BJTC009759,20190701,北京市,942,山坡林地,乔木,无花有果,https://image.cvh.ac.cn/files/l/BJTC/BJTC009759.jpg,,,,,,,,,, +,Polygonatum luteoverrucosum,,,,,,,,,,,,,,,,,,, +,Polygonatum nervulosum,生态室高原组,14063,19800807,西藏自治区,2400,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376518.jpg,,,,,,,,,, +对叶黄精,Polygonatum oppositifolium,张相宜、成瑞瑜、郭泳棂,SC-Z-00-15-018,20200918,四川,3582,路边,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02060690.jpg,,,,,,,,,, +对叶黄精,Polygonatum oppositifolium,金效华,SET-ET 1179,20090904,西藏自治区,1500,under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01944264.jpg,,,,,,,,,, +对叶黄精,Polygonatum oppositifolium,经982第一组,35,19990527,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/GFS/GFS0016199.jpg,,,,,,,,,, +点花黄精,Polygonatum punctatum,彭玉德、李金花、莫连兰,451031141025022LY,20141025,广西,1305,灌丛,林下,石灰土,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0191659.jpg,,,,,,,,,, +点花黄精,Polygonatum punctatum,B.Bartholomew,1652,19840512,,2430,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01723181.jpg,,,,,,,,,, +点花黄精,Polygonatum punctatum,青藏队植被组,4491,19750630,西藏自治区,2200~2300,阴坡 常绿林下 附生树干上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01532216.jpg,,,,,,,,,, +,Polygonatum undulatifolium,,,,,,,,,,,,,,,,,,, +轮叶黄精,Polygonatum verticillatum,朱相云等,PB86040,19860509,重庆市,2000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01526646.jpg,,,,,,,,,, +轮叶黄精,Polygonatum verticillatum,吴金清,殷小霞,9162,20060415,湖北,220,山坡杂木林中,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0185382.jpg,,,,,,,,,, +轮叶黄精,Polygonatum verticillatum,J.Chrtek et H.Pistulkiva,,19640616,,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023792.jpg,,,,,,,,,, +,Polygonatum wardii,,,,,,,,,,,,,,,,,,, +华蓼,Polygonum cathayanum,北京所横断山队,3210,19810818,云南省,4240~4300,高山灌丛中常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447714.jpg,,,,,,,,,, +华蓼,Polygonum cathayanum,D.E.Boufford et al.,39428,20070810,四川省,3935,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01815608.jpg,,,,,,,,,, +,Polygonum cathayanum,,,,,,,,,,,,,,,,,,, +青藏蓼,Polygonum fertile,王作宾,5879,19360820,甘肃省,3700~3800,near water in valey,,有花无果,https://image.cvh.ac.cn/files/l/PE/00474487.jpg,,,,,,,,,, +青藏蓼,Polygonum fertile,PE西藏队,PE5072,20170825,西藏自治区,3749,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891999.jpg,,,,,,,,,, +青藏蓼,Polygonum fertile,吴玉虎等,3988,19860802,青海省,2600,河滩,石隙 疏林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01269864.jpg,,,,,,,,,, +丽江蓼,Polygonum lichiangense,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/073146.jpg,,,,,,,,,, +丽江蓼,Polygonum lichiangense,俞德浚,13059,19370831,四川省,3900,margin of woods,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0421048.jpg,,,,,,,,,, +丽江蓼,Polygonum lichiangense,中甸队,1333,19620825,云南省,3750,山坡灌丛 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00513937.jpg,,,,,,,,,, +紫脉蓼,Polygonum purpureonervosum,植被调查队,3174,19730817,四川省,4800,干燥砾石 滑坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00474486.jpg,,,,,,,,,, +紫脉蓼,Polygonum purpureonervosum,张相宜、成瑞瑜、郭泳棂,SC-Z-00-04-071,20200926,四川,3282,草甸,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02060464.jpg,,,,,,,,,, +翅柄蓼,Polygonum sinomontanum,C.W.Wang.,65595,19350800,云南省 ,3400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0119096.jpg,,,,,,,,,, +,Polygonum sinomontanum,罗建,汪书丽,LiuJQ-08XZ-085,20080724,西藏,3842,路边山坡草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1243435.jpg,,,,,,,,,, +翅柄蓼,Polygonum sinomontanum,PE西藏队,PE6816,20170917,西藏自治区,3971,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293905.jpg,,,,,,,,,, +,Polygonum subscaposum,阿国仁,何贵才,NJWLS577,20091103,云南,2077,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1243442.jpg,,,,,,,,,, +大理蓼,Polygonum subscaposum,Forrest,6835,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00062963.jpg,,,,,,,,,, +大理蓼,Polygonum subscaposum,陈谋,2702,19340000,四川省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0424191.jpg,,,,,,,,,, +珠芽支柱蓼,Polygonum suffultoides,Miyoshi Furuse,47381,19690517,,1250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00097913.jpg,,,,,,,,,, +珠芽支柱蓼,Polygonum suffultoides,俞德浚,6209,19380613,四川省,0,mt slop grassy place,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0424196.jpg,,,,,,,,,, +珠芽支柱蓼,Polygonum suffultoides,青藏队,2171,19810706,云南省,3200~3400,云杉 冷杉林,,有花无果,https://image.cvh.ac.cn/files/l/PE/00425660.jpg,,,,,,,,,, +西藏蓼,Polygonum tibeticum,横断山队植被组,4556,19830710,云南省,4250,高山 Sabina 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447630.jpg,,,,,,,,,, +,Polygonum tibeticum,,,,,,,,,,,,,,,,,,, +西藏蓼,Polygonum tibeticum,黄河队,8374,19560901,陕西省,,灌丛地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067354.jpg,,,,,,,,,, +荫地蓼,Polygonum umbrosum,郭成勇,1508072633-2,20080726,重庆,1763,山坡林下,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0055866.jpg,,,,,,,,,, +荫地蓼,Polygonum umbrosum,H.T.Tsai,54193,19330907,云南省,2500,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00442065.jpg,,,,,,,,,, +荫地蓼,Polygonum umbrosum,蔡希陶,51053,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0424577.jpg,,,,,,,,,, +伊凡棒头草,Polypogon ivanovae,,R1176,1961.8.1,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00050979.jpg,,,,,,,,,, +伊凡棒头草,Polypogon ivanovae,,R1176,1961811,,,,一年生草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20017194.jpg,,,,,,,,,, +,Polypogon ivanovae,冯建菊,Liujq-0072,20100831,新疆维吾尔自治区,0~2629,河边草地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0283006.jpg,,,,,,,,,, +刺叶耳蕨,Polystichum acanthophyllum,K.L.Chu,7094,19400615,,0,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00117409.jpg,,,,,,,,,, +刺叶耳蕨,Polystichum acanthophyllum,F.Ludlow et al.,6492,19381102,西藏自治区,2500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01138438.jpg,,,,,,,,,, +刺叶耳蕨,Polystichum acanthophyllum,秦林川,821091,20070821,重庆市,2100,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00005578.jpg,,,,,,,,,, +尖齿耳蕨,Polystichum acutidens,田林普查队,4.51E+14,20130420,广西,1442,阔叶林,林缘,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMG/GXMG0116509.jpg,,,,,,,,,, +尖齿耳蕨,Polystichum acutidens,赵万义、刘忠成、许可旺、刘佳、杨平、叶矾、毛晓萌、马艳、张信坚,Lxp-13-22358,20161029,江西,,山坡、腐殖土、疏林,阴处、偶见种, 陆生、草本、直立 ,有孢子囊,https://image.cvh.ac.cn/files/l/SYS/SYS00204995.jpg,,,,,,,,,, +尖齿耳蕨,Polystichum acutidens,,,,云南省 ,700,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00157024.jpg,,,,,,,,,, +弓羽耳蕨,Polystichum arcuatum,韩孟奇、黄金全,HMQ463,20150523,贵州省,1165,山地,石灰岩石山,石穴,罕见,直立草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00406733.jpg,,,,,,,,,, +小狭叶芽胞耳蕨,Polystichum atkinsonii,白水江采集队,5394,20070525,甘肃省,2400,山坡 路边 石壁上,,,https://image.cvh.ac.cn/files/l/PE/01704014.jpg,,,,,,,,,, +小狭叶芽胞耳蕨,Polystichum atkinsonii,鞠文彬,陈德奎,AZH00560,20151006,四川,1821,溪边石壁,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0236365.jpg,,,,,,,,,, +小狭叶芽胞耳蕨,Polystichum atkinsonii,金摄郎、张九兵,JSL-WLSQ 400,20131107,湖南省,1648,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0042293.jpg,,,,,,,,,, +薄叶耳蕨,Polystichum bakerianum,C. W. Wang,65834,1935/08/,云南,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0036416.jpg,,,,,,,,,, +薄叶耳蕨,Polystichum bakerianum,赵存峰,10,20150815,西藏自治区,4000~4300,林下山坡,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02084779.jpg,,,,,,,,,, +薄叶耳蕨,Polystichum bakerianum,"Jin Xh,Wang LS,Wang Q,Wei R,Fu ZX,Feng YL",ST0629,20130720,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01314606.jpg,,,,,,,,,, +二尖耳蕨,Polystichum biaristatum,"Yih-Han Chang,许天铨,洪信介",20121128-040,20121128,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02049795.jpg,,,,,,,,,, +二尖耳蕨,Polystichum biaristatum,蔡希陶,56927,,云南省,1750,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01139514.jpg,,,,,,,,,, +二尖耳蕨,Polystichum biaristatum,吴磊、罗金龙、温兆捷,5121,20160426,湖南省,1000,山坡密林,直立草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSFI/CSFI056245.jpg,,,,,,,,,, +波密高山耳蕨,Polystichum bomiense,PE西藏队,PE6095,20170907,西藏自治区,4398,草甸,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01891892.jpg,,,,,,,,,, +棕鳞耳蕨,Polystichum braunii,王崇书,4506,19600601,安图县,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/0084425.jpg,,,,,,,,,, +布朗耳蕨,Polystichum braunii,付坤俊,15483,1964/6/22,甘肃,2300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0483777.jpg,,,,,,,,,, +布郎耳蕨,Polystichum braunii,候惠宗,s.n.,19621200,辽宁省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01139679.jpg,,,,,,,,,, +基芽耳蕨,Polystichum capillipes,Wilson,2657,,湖北省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01150944.jpg,,,,,,,,,, +基芽耳蕨,Polystichum capillipes,鞠文彬,张程,陈德奎,黎怀成,AZH00400,20150731,四川,1678,林中石壁,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0236363.jpg,,,,,,,,,, +基芽耳蕨,Polystichum capillipes,张宪春等,2178,20010816,云南省,3000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01780456.jpg,,,,,,,,,, +,Polystichum castaneum,高信芬、黎怀诚,THP-KD-0410,20170603,四川,3932,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250850.jpg,,,,,,,,,, +栗鳞耳蕨,Polystichum castaneum,D.E.Boufford et al.,32735,20050709,四川省,4200,Scree slope and adjacent meadows.Forest.Fronds clustered at apex of erect rhizome,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01938859.jpg,,,,,,,,,, +栗鳞耳蕨,Polystichum castaneum,"X.H.Jin,Y.S.Chen,",DLJ-ET 3336,20080720,西藏自治区,,conifer forest.,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01870816.jpg,,,,,,,,,, +圆片耳蕨,Polystichum cyclolobum,王峰,90016,19900731,贵州省,2200,疏林下石隙,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01150095.jpg,,,,,,,,,, +圆片耳蕨,Polystichum cyclolobum,朱维明,302,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00157124.jpg,,,,,,,,,, +圆片耳蕨,Polystichum cyclolobum,,s.n.,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01150115.jpg,,,,,,,,,, +分离耳蕨,Polystichum discretum,华南队,849,19890520,广西壮族自治区,1200,山地、山顶,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02019988.jpg,,,,,,,,,, +分离耳蕨,Polystichum discretum,,1730,19431211,贵州省,1000,沟内林下 酸性石灰岩,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01793706.jpg,,,,,,,,,, +分离耳蕨,Polystichum discretum,尹文清,134,1957/3/13,云南,2090,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0205584.jpg,,,,,,,,,, +杜氏耳蕨,Polystichum duthiei,王启无,88595,19350306,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00157135.jpg,,,,,,,,,, +杜氏耳蕨,Polystichum duthiei,张宪春等,1754,19970810,甘肃省,2900,石缝中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01852701.jpg,,,,,,,,,, +杜氏耳蕨,Polystichum duthiei,王作宾,14539,1951/7/22,甘肃,3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0066582.jpg,,,,,,,,,, +喜马拉雅耳蕨,Polystichum garhwalicum,张炳坤,温丁朝,09-4198,20091008,陕西,1350,森林,草本,有孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0175770.jpg,,,,,,,,,, +,Polystichum garhwalicum,"余奇,郑臣臣",THP-KD-0287,20170602,四川,3932,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250846.jpg,,,,,,,,,, +,Polystichum garhwalicum,鞠文彬,郑臣臣,THP-KD-6670,20170818,四川省,3629,日乌且到电站草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252680.jpg,,,,,,,,,, +,Polystichum glaciale,X.C.Zhang,2886,20010811,云南省,4500~4600,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02055814.jpg,,,,,,,,,, +,Polystichum glaciale,D.E.Boufford et al.,39834,20070816,四川省,4260~4400,Rocky slopes and gravell areas on N side of pass;mostly alpine herbs with scattered colonies of evergreen Rhododendron,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01938774.jpg,,,,,,,,,, +玉龙耳蕨,Polystichum glaciale,刀志灵;刘德团;郭世伟;张品;杨佳俊;陶丽丹;杨丰懋,KIBDZL209B11,20190726,云南,3614,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1561511.jpg,,,,,,,,,, +工布高山耳蕨,Polystichum gongboense,青藏队,7611,19750913,西藏,3500,山坡 Picea 林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1216710.jpg,,,,,,,,,, +工布尔蕨,Polystichum gongboense,魏振铎,21874,1980/7/24,青海,2600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0483803.jpg,,,,,,,,,, +工布高山耳蕨,Polystichum gongboense,"傅国勋,张志松",1044,19570724,湖北省,2500,草地山坡,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01150473.jpg,,,,,,,,,, +多翼耳蕨,Polystichum hecatopterum,,927,,,,,,无孢子囊,https://image.cvh.ac.cn/files/l/TIE/00001469.jpg,,,,,,,,,, +芒刺耳蕨,Polystichum hecatopterum,鞠文彬,张良,陈德奎,AZH01206,20160616,四川,2360,林下,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254234.jpg,,,,,,,,,, +芒刺耳蕨,Polystichum hecatopterum,"刘恩德,邹娇,王存花,李伟,李鹏映,陈婷,潘颖达,李秀玲",LED10027,20200904,云南,1851,竹林中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1511396.jpg,,,,,,,,,, +,Polystichum hookerianum,Tetsuji Yamanaka,,19600117,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01964256.jpg,,,,,,,,,, +虎克耳蕨,Polystichum hookerianum,周喜乐、刘静、邹春玉、张九兵,ZXL07718,20161030,广西,876,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0140261.jpg,,,,,,,,,, +虎克耳蕨,Polystichum hookerianum,严岳鸿、商辉、刘子玥,SG1649,20161127,湖北,1332,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136308.jpg,,,,,,,,,, +,Polystichum lachenense,彭玉兰、张君议、郑臣臣,THP-KD-3437,20170716,四川,3768~4150,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252694.jpg,,,,,,,,,, +拉钦耳蕨,Polystichum lachenense,方震东,41004,20040806,云南省,,,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01787948.jpg,,,,,,,,,, +拉钦耳蕨,Polystichum lachenense,C.S.Chang et al.,949,20100702,四川省,3991,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01923061.jpg,,,,,,,,,, +柔软耳蕨,Polystichum lentum,覃营、李喜涛,JWSQY069,20200523,广西,~885,山地,山谷,疏林,黑灰壤;罕见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00434706.jpg,,,,,,,,,, +柔软耳蕨,Polystichum lentum,J.D.A.STAINTON,7105,19620111,,2067,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01771808.jpg,,,,,,,,,, +柔软耳蕨,Polystichum lentum,"张宪春,郭治友",7932,20160625,云南省,1700,树干上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02074320.jpg,,,,,,,,,, +尖齿耳蕨,Polystichum longidens,青藏队, 74-3624,19740714,西藏,4000,岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1216696.jpg,,,,,,,,,, +尖齿耳蕨,Polystichum longidens,丁巧玲、张信坚、叶矾、潘嘉文、蔡文峰,Lxp-13-18632,20160528,江西,434,山坡、腐殖土、疏林、石上、偶见种, 陆生、草本、直立 ,有孢子囊,https://image.cvh.ac.cn/files/l/SYS/SYS00204227.jpg,,,,,,,,,, +尖齿耳蕨,Polystichum longidens,金摄郎、张九兵,JSL2688,20150520,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0111690.jpg,,,,,,,,,, +长鳞耳蕨,Polystichum longipaleatum,罗林波,240,19940823,湖南省,1200,山谷阴湿石壁,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01923132.jpg,,,,,,,,,, +长鳞耳蕨,Polystichum longipaleatum,X.C.Zhang,5038,20071008,西藏自治区,2200,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02065149.jpg,,,,,,,,,, +长鳞耳蕨,Polystichum longipaleatum,"董洪进,王泽欢,尹志坚",WM-0255,20160428,云南省,1100~1400,路边林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02102217.jpg,,,,,,,,,, +,Polystichum makinoi,K.Inami,,19731123,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01964667.jpg,,,,,,,,,, +,Polystichum makinoi,植物资源考察队,1078,19840823,河南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01780449.jpg,,,,,,,,,, +,Polystichum makinoi,"张宪春,郭治友,税玉民等",8323,20170408,云南省,1637,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234395.jpg,,,,,,,,,, +前原耳蕨,Polystichum mayebarae,Y.Shimura,s.n.,19551010,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01771887.jpg,,,,,,,,,, +前原耳蕨,Polystichum mayebarae,方文培,2694,19280809,四川省,1833~2000,In thickets,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01151426.jpg,,,,,,,,,, +前原耳蕨,Polystichum mayebarae,学生实习队,19,19640600,河南省,,林阴下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01151421.jpg,,,,,,,,,, +印西耳蕨,Polystichum mehrae,B.S.Kholia,s.n.,19870800,,2900,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01771888.jpg,,,,,,,,,, +印西耳蕨,Polystichum mehrae,South Tibet Expedition Team(STET),STET0081,20100713,西藏自治区,,evergreen broad-leaved forest,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02013636.jpg,,,,,,,,,, +印西耳蕨,Polystichum mehrae,亚吉东,韩周东,谭治刚,20CS18988,20200413,云南,2077,中山湿性常绿阔叶林,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1506274.jpg,,,,,,,,,, +,Polystichum microchlamys,,7254,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01726149.jpg,,,,,,,,,, +毛叶高山耳蕨,Polystichum mollissimum,青甘调查队,1455,19590909,青海省,2700,山坡上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01151468.jpg,,,,,,,,,, +毛叶高山耳蕨,Polystichum mollissimum,Wei-Ying Hsia,4654,,甘肃省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01151466.jpg,,,,,,,,,, +,Polystichum mollissimum,高云东,邓亨宁,黎怀成,THP-KD-2207,20170806,四川,3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250520.jpg,,,,,,,,,, +穆坪耳蕨,Polystichum moupinense,D.E.Boufford et al,31424,20040731,西藏,4400~4600,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01822932.jpg,,,,,,,,,, +穆坪耳蕨,Polystichum moupinense,X.C.Zhang,3442,20040827,湖北省,2800,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01450696.jpg,,,,,,,,,, +穆坪耳蕨,Polystichum moupinense,,722,,西藏自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02051613.jpg,,,,,,,,,, +革叶耳蕨,Polystichum neolobatum,南药组,110,19700707,浙江省,,山坡,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01151565.jpg,,,,,,,,,, +革叶耳蕨,Polystichum neolobatum,T. P. Wang,9644,1938/9/9,四川,2200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0483796.jpg,,,,,,,,,, +革叶耳蕨,Polystichum neolobatum,徐养鹏,1161,1963/9/12,甘肃,1500,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0215236.jpg,,,,,,,,,, +尼泊尔耳蕨,Polystichum nepalense,梁慧舟,2170,20010623,台湾省,1500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871548.jpg,,,,,,,,,, +尼泊尔耳蕨,Polystichum nepalense,G.Forrest,24941,19240900,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01771913.jpg,,,,,,,,,, +尼泊尔耳蕨,Polystichum nepalense,J.F.Rock,7616,19221100,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01151733.jpg,,,,,,,,,, +裸毛耳蕨,Polystichum nudisorum,尼松伟,7,20100703,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0003707.jpg,,,,,,,,,, +裸果耳蕨,Polystichum nudisorum,朱维明,375,19570129,云南省,2300,亚热带高山苔藓林林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01151786.jpg,,,,,,,,,, +裸果耳蕨,Polystichum nudisorum,冯国楣,4954,1954/10/12,云南,1900,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0193462.jpg,,,,,,,,,, +,Polystichum orientalitibeticum,X.C.Zhang & L.Wang,4842,20070927,西藏自治区,2000,on cliffs at road side,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02049785.jpg,,,,,,,,,, +高山耳蕨,Polystichum otophorum,巴山采集队,5934,20120703,四川省,1220~1340,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02059860.jpg,,,,,,,,,, +高山耳蕨,Polystichum otophorum,方震东、海仙、谢爱芳,DJDC-609,20160705,云南省,4317,,,有孢子囊,https://image.cvh.ac.cn/files/l/SABG/SABG 000021.jpg,,,,,,,,,, +高山耳蕨,Polystichum otophorum,T. P. Wang,8299,1938/7/27,四川,650,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0483791.jpg,,,,,,,,,, +拟穆坪高山耳蕨,Polystichum paramoupinense,青藏队横断山队,5582,19810829,四川省,4600,山坡草地碎石缝中,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01151900.jpg,,,,,,,,,, +拟穆坪高山耳蕨,Polystichum paramoupinense,X.C.Zhang,4031,20060630,西藏,4000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01822920.jpg,,,,,,,,,, +拟穆坪高山耳蕨,Polystichum paramoupinense,X.C.Zhang,4031,20060630,西藏自治区,4000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01822920.jpg,,,,,,,,,, +片马耳蕨,Polystichum pianmaense,魏奇,WQ383,20141002,云南,2102,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1436963.jpg,,,,,,,,,, +片马耳蕨,Polystichum pianmaense,"李渤生,程树志等",2845,19830209,西藏自治区,2200~2400,常绿阔叶林下时见,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01151917.jpg,,,,,,,,,, +片马耳蕨,Polystichum pianmaense,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07417,20160915,西藏,1991,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135913.jpg,,,,,,,,,, +,Polystichum piceopaleaceum,"高信芬, 张良, 李蒙, 张桥蓉, 亚吉东, 崔光帅",QTP-1108-T05-000269,20171204,,2474,Destroyed forest near river,草本,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/1484425.jpg,,,,,,,,,, +乌鳞耳蕨,Polystichum piceopaleaceum,商辉、刘红梅、刘恩旭,SG515,20140924,甘肃省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0039251.jpg,,,,,,,,,, +乌鳞耳蕨,Polystichum piceopaleaceum,严岳鸿、齐新萍,YYH12994,20130903,西藏,2400,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0082122.jpg,,,,,,,,,, +芒刺耳蕨,Polystichum prescottianum,Yuji Suehiro,1379,19761001,,3700,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01771999.jpg,,,,,,,,,, +芒刺耳蕨,Polystichum prescottianum,"T.N.Ho、B.Bartholomew、M.Watson,等",2967,19960908,青海省,3600,,,有孢子囊,https://image.cvh.ac.cn/files/l/HNWP/00002451.jpg,,,,,,,,,, +芒刺耳蕨,Polystichum prescottianum,C.W.Wang,69936,19350000,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00112199.jpg,,,,,,,,,, +拟栗鳞耳蕨,Polystichum pseudocastaneum,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4556,20160916,西藏,3810,乱石堆中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136493.jpg,,,,,,,,,, +中缅耳蕨,Polystichum punctiferum,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07424,20160915,西藏,1991,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135937.jpg,,,,,,,,,, +中缅耳蕨,Polystichum punctiferum,"X.H.Jin,Y.S.Chen,",DLJ-ET 2141,20080706,云南省,2200,evergreen broad,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01870811.jpg,,,,,,,,,, +中缅耳蕨,Polystichum punctiferum,C. W. Wang,75130,1936/06/,云南,1400,,fern,有花无果,https://image.cvh.ac.cn/files/l/WUK/0047313.jpg,,,,,,,,,, +昌都高山耳蕨,Polystichum qamdoense,"D.E.Boufford,B.Bartholomew et al.",37010,20060822,四川省,4050~4100,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01964659.jpg,,,,,,,,,, +翠绿高山耳蕨,Polystichum qamdoense,青藏科考队,12875,19760818,西藏,3800,柳树灌丛下石缝中,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1216684.jpg,,,,,,,,,, +昌都高山耳蕨,Polystichum qamdoense,青藏科考队,7824,19750914,西藏自治区,3600~3800,阴坡 针阔混交林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01521357.jpg,,,,,,,,,, +斜方刺叶耳蕨,Polystichum rhombiforme,T.T.Yu,7502,19370731,四川省,2900,underwoods,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01174231.jpg,,,,,,,,,, +斜方刺叶耳蕨,Polystichum rhombiforme,South Tibet Expedition Team(STET),STET325,20100713,西藏自治区,3100,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02013696.jpg,,,,,,,,,, +斜方刺叶耳蕨,Polystichum rhombiforme,朱维明等,17569,19830929,云南省,3250,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01174235.jpg,,,,,,,,,, +灰绿耳蕨,Polystichum scariosum,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4408,20160912,西藏,1519,疏林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136534.jpg,,,,,,,,,, +,Polystichum scariosum,鞠文彬,邓亨宁,HGX13560,20130915,四川省,,溪边林下,多年生草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0238433.jpg,,,,,,,,,, +灰绿耳蕨,Polystichum scariosum,严岳鸿、金摄郎、舒江平,JSL5211,20170425,福建,302,沟谷边疏林下坡面,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0141594.jpg,,,,,,,,,, +半育耳蕨,Polystichum semifertile,刘恩德,方伟,徐洲锋,赵倩茹,秦凤,3519,20120322,云南省 ,2383,under broad-leaf forest,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1251603.jpg,,,,,,,,,, +半育耳蕨,Polystichum semifertile,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07386,20160915,西藏,1065,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135835.jpg,,,,,,,,,, +半育耳蕨,Polystichum semifertile,"张宪春,郭治友,税玉民等",8259,20170407,云南省,1637,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234409.jpg,,,,,,,,,, +陕西耳蕨,Polystichum shensiense,张代贵,ly110505058,20100306,湖南湘西州,,高山草甸或高山针叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU51952.jpg,,,,,,,,,, +陕西耳蕨,Polystichum shensiense,张代贵,zdg7043,20120523,湖北十堰,,高山草甸或高山针叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU64353.jpg,,,,,,,,,, +陕西耳蕨,Polystichum shensiense,张宪春,3346,20040821,湖北省,1300,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01852588.jpg,,,,,,,,,, +中华耳蕨,Polystichum sinense,BNU,LPS121,20120729,宁夏回族自治区,2400,,,,https://image.cvh.ac.cn/files/l/BNU/0025544.jpg,,,,,,,,,, +中华耳蕨,Polystichum sinense,刘瑛,11214,19350824,河北省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01870805.jpg,,,,,,,,,, +中华耳蕨,Polystichum sinense,"张宪春,蒋日红,黄尔峰",8970,20170823,四川省,2800,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234304.jpg,,,,,,,,,, +密鳞耳蕨,Polystichum squarrosum,云南大学生物系,1554,19640430,云南省,2580,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01569210.jpg,,,,,,,,,, +密鳞耳蕨,Polystichum squarrosum,Wang et Chang et Chen,D-0259,19840818,贵州省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/GFS/GFS0000229.jpg,,,,,,,,,, +密鳞耳蕨,Polystichum squarrosum,Li Shin,,1959/ /,四川,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0130371.jpg,,,,,,,,,, +狭叶芽胞耳蕨,Polystichum stenophyllum,"董洪进,王泽欢,尹志坚",WM-0370,20160504,云南省,1800,路边林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02102368.jpg,,,,,,,,,, +狭叶芽胞耳蕨,Polystichum stenophyllum,王作宾,20792,1972/11/16,陕西,950,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0292279.jpg,,,,,,,,,, +狭叶芽胞耳蕨,Polystichum stenophyllum,神农架队,21464,19760709,湖北省,1800,沟谷阔叶林下潮湿岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01174540.jpg,,,,,,,,,, +猫儿刺耳蕨,Polystichum stimulans,"胡文光,何铸",11718,19511026,四川省,,生岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01174610.jpg,,,,,,,,,, +猫儿刺耳蕨,Polystichum stimulans,J.F.Rock,3688,19220500,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01174620.jpg,,,,,,,,,, +猫儿刺耳蕨,Polystichum stimulans,"陈又生,张树仁,于胜祥,卫然",601,20111115,西藏自治区,3809,草坡,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02004296.jpg,,,,,,,,,, +秦岭耳蕨,Polystichum submite,黄河队,1627,1955/1/29,山西,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0077992.jpg,,,,,,,,,, +秦岭耳蕨,Polystichum submite,张志英,5980,1959/6/26,甘肃,2200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0143387.jpg,,,,,,,,,, +,Polystichum submite,C.T.Li,0,19321007,河北,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0027930.jpg,,,,,,,,,, +,Polystichum tangmaiense,,,,,,,,,,,,,,,,,,, +尾叶耳蕨,Polystichum thomsonii,陈彦生、吴振海、黎斌、郭晓思等,1830,2004/10/12,陕西省,2110,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0492936.jpg,,,,,,,,,, +尾叶耳蕨,Polystichum thomsonii,张迅,522230191124014LY,20191124,贵州,377,灌丛、湿生、耐阴、亚高温、酸性土、野生植物,一年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0101970.jpg,,,,,,,,,, +,Polystichum thomsonii,"张宪春,蒋日红,黄尔峰",8973,20170823,四川省,2800,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234488.jpg,,,,,,,,,, +,Polystichum tibeticum,高信芬,鞠文彬,郑臣臣,THP-KD-5658,20170807,四川,3682,林中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252705.jpg,,,,,,,,,, +,Polystichum tibeticum,高信芬,鞠文彬,郑臣臣,THP-KD-5658,20170807,四川省,3682,上子梅村至贡嘎寺林中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252706.jpg,,,,,,,,,, +西藏耳蕨,Polystichum tibeticum,"李渤生,倪志诚,程树志",6230,19830808,西藏自治区,3600~4000,Abice林下时见,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01174783.jpg,,,,,,,,,, +对马耳蕨,Polystichum tsus-simense,,安6058,19590529,安徽省,540,背阴山坡灌木林路边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01174969.jpg,,,,,,,,,, +对马耳蕨,Polystichum tsus-simense,Taku Miyazaki,612081,20061216,,377~535,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01963936.jpg,,,,,,,,,, +对马耳蕨,Polystichum tsus-simense,,K514,19250825,浙江省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01174985.jpg,,,,,,,,,, +细裂耳蕨,Polystichum wattii,白洪兵、李红,533324180911842LY,20180911,云南,1708,,草本,无孢子囊,https://image.cvh.ac.cn/files/l/SABG/SABG009982.jpg,,,,,,,,,, +细裂耳蕨,Polystichum wattii,方文培,14987,19401007,四川省,,,,无孢子囊,https://image.cvh.ac.cn/files/l/TIE/00001545.jpg,,,,,,,,,, +细裂耳蕨,Polystichum wattii,George Forrest,27021,19250700,,433~467,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01729428.jpg,,,,,,,,,, +亚东耳蕨,Polystichum yadongense,X.C.Zhang & L.Wang,4662,20070919,西藏自治区,4200,On slope,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01792810.jpg,,,,,,,,,, +易贡刺叶耳蕨,Polystichum yigongense,C.Y. Wu (吴征镒),5748,19760911,西藏,,路边石缝中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1216672.jpg,,,,,,,,,, +云南耳蕨,Polystichum yunnanense,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4563,20160916,西藏,2131,疏林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136507.jpg,,,,,,,,,, +云南耳蕨,Polystichum yunnanense,张宪春等,6279,20100919,云南省,1651,林下土生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01853216.jpg,,,,,,,,,, +云南耳蕨,Polystichum yunnanense,F.E.W.Venning,18A,19100715,,2070,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1220951.jpg,,,,,,,,,, +察隅耳蕨,Polystichum zayuense,青藏队,10501,19820918,西藏自治区,3450,山坡云杉林下岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01726685.jpg,,,,,,,,,, +,Pomatocalpa armigerum,,,,,,,,,,,,,,,,,,, +鹿角兰,Pomatocalpa spicatum,高锡朋,52164,19320424,海南岛,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00146612.jpg,,,,,,,,,, +,Pomatocalpa spicatum,孙洪范,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01720896.jpg,,,,,,,,,, +,Pomatocalpa spicatum,,26,19730819,广西壮族自治区,,石灰岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01997874.jpg,,,,,,,,,, +,Pomatocalpa undulatum,,,,,,,,,,,,,,,,,,, +羽叶点地梅,Pomatosace filicula,s.coll.,1786,19620801,,3900,河漫滩草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0229444.jpg,,,,,,,,,, +羽叶点地梅,Pomatosace filicula,"T.N.Ho,B.Bartholomew M.Watson et al",1628,19960811,青海省,4300,Growing near road and in frost heave areas,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589023.jpg,,,,,,,,,, +羽叶点地梅,Pomatosace filicula,白龙江考察队,1615,19990601,甘肃省,3300,河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560384.jpg,,,,,,,,,, +,Ponerorchis chrysea,,,,,,,,,,,,,,,,,,, +,Ponerorchis chusua,秦岭植物资源调查队,319,20160801,陕西省,1500~2894,山顶,草丛中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00592029.jpg,,,,,,,,,, +广布小红门兰,Ponerorchis chusua,葛斌杰、魏宇坤,GBJ00854,20110716,西藏,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0095105.jpg,,,,,,,,,, +广布小红门兰,Ponerorchis chusua,彭玉兰、余奇、李林霖,THP-KD-1177,20170614,四川,3091,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244759.jpg,,,,,,,,,, +,Ponerorchis compacta,,,,,,,,,,,,,,,,,,, +,Ponerorchis cucullata,,,,,,,,,,,,,,,,,,, +,Ponerorchis cucullata var. calcicola,,,,,,,,,,,,,,,,,,, +,Ponerorchis farreri,,,,,,,,,,,,,,,,,,, +,Ponerorchis forrestii,,,,,,,,,,,,,,,,,,, +,Ponerorchis luteola,,,,,,,,,,,,,,,,,,, +,Ponerorchis monantha,,,,,,,,,,,,,,,,,,, +,Ponerorchis pulchella,"Handel-Mazzetti, Heinrich",9929,14-Aug-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00123009.jpg,,,,,,,,,, +,Ponerorchis secundiflora,,,,,,,,,,,,,,,,,,, +,Ponerorchis tetraloba,,,,,,,,,,,,,,,,,,, +,Ponerorchis tibetica,,,,,,,,,,,,,,,,,,, +德钦杨,Populus haoana,俞德浚,6102,19370611,云南省 ,2850,side of mt stream,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0522934.jpg,,,,,,,,,, +德钦杨,Populus haoana,郭本兆等,21712,19770723,西藏自治区,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0522941.jpg,,,,,,,,,, +德钦杨,Populus haoana,方震东,K886,20020630,云南,3400,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG008455.jpg,,,,,,,,,, +康定杨,Populus kangdingensis,关克俭 王文采等,900,19630724,四川省,3500,屋旁、路边,乔木,无花无果,https://image.cvh.ac.cn/files/l/PE/00605081.jpg,,,,,,,,,, +康定杨,Populus kangdingensis,任宪威,78014,19780621,西藏自治区,3200,沟谷,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00031049.jpg,,,,,,,,,, +,Populus lancifolia,"张昌兵,向丽",ZhangCB0168,20080613,四川省,3600,亚高山针叶林林间草地,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1325708.jpg,,,,,,,,,, +米林杨,Populus mainlingensis,西藏中草药普查队,4117,19720720,西藏自治区,3500,山坡,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00605261.jpg,,,,,,,,,, +米林杨,Populus mainlingensis,青藏队,3954,1981-8 9,四川省,3800,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0010245.jpg,,,,,,,,,, +米林杨,Populus mainlingensis,农牧学院实习队,51,19840619,西藏,3050,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2018514.jpg,,,,,,,,,, +,Populus minhoensis,,,,,,,,,,,,,,,,,,, +,Populus pseudoglauca,"陈家辉,王赟,刘德团等",YangYP-Q-3020,20100909,四川省,3182,路边灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1325959.jpg,,,,,,,,,, +长序杨,Populus pseudoglauca,张志翔,ZZX2016041202,,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00123863.jpg,,,,,,,,,, +长序杨,Populus pseudoglauca,应俊生 洪德元,650310,19650626,西藏自治区,2650,冲积扇 Populus林边丛中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00934195.jpg,,,,,,,,,, +昌都杨,Populus qamdoensis,"李渤生,程树志",879,19820912,西藏自治区,,河边优势种,,无花无果,https://image.cvh.ac.cn/files/l/PE/01490810.jpg,,,,,,,,,, +昌都杨,Populus qamdoensis,费勇,孙航,李德铢等,1,19900709,云南省,3500,side road,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0522990.jpg,,,,,,,,,, +昌都杨,Populus qamdoensis,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20762,20200628,西藏,3937,高山灌丛草地,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507117.jpg,,,,,,,,,, +西南杨,Populus schneideri,魏太昌,20432,1979-6 8,四川省,3200,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0010266.jpg,,,,,,,,,, +三脉青杨,Populus trinervis,G.Fengel,279,1934/5/10,陕西,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0171284.jpg,,,,,,,,,, +三脉青杨,Populus trinervis,y.y.Pai,2203,19350709,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0075458.jpg,,,,,,,,,, +三脉青杨,Populus trinervis,T.T.Yu,6391,19370618,四川省,2200,sandy bank of river,,无花有果,https://image.cvh.ac.cn/files/l/PE/00704327.jpg,,,,,,,,,, +,Populus wenxianica,,,,,,,,,,,,,,,,,,, +长叶杨,Populus wuana,T.Naito et al. ,894,19860513,西藏自治区,2100~2200,in populus forest in dale,,无花有果,https://image.cvh.ac.cn/files/l/PE/01803469.jpg,,,,,,,,,, +长叶杨,Populus wuana,汤庚国,1619,19890710,西藏,3150,路边孤立木,乔木,有花有果,https://image.cvh.ac.cn/files/l/NF/NF2018652.jpg,,,,,,,,,, +乡城杨,Populus xiangchengensis,青藏队横断山队,3954,19810809,四川省,3800~3850,山间水沟旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057433.jpg,,,,,,,,,, +乡城杨,Populus xiangchengensis,汤庚国,1231,19910627,四川,,,,有花有果,https://image.cvh.ac.cn/files/l/NF/NF2018655.jpg,,,,,,,,,, +杨属,Populus yatungensis,倪志诚,汪永泽,次多、次旦,130,19800621,西藏,3500,沟谷杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0000719.jpg,,,,,,,,,, +,Populus yatungensis,T.T.Yu,6102,19370611,四川省,2850,side of mt.stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/00704391.jpg,,,,,,,,,, +,Populus yatungensis,汤庚国、袁发银,92447,19920709,云南,3150,林缘,小乔木,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2018656.jpg,,,,,,,,,, +五瓣杨,Populus yuana,孙航,周浙昆,俞宏渊,4569,19930313,西藏自治区,1800,in forest,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0523214.jpg,,,,,,,,,, +,Porpax elwesii,,,,,,,,,,,,,,,,,,, +,Porpax seidenfadenii,,,,,,,,,,,,,,,,,,, +菹草,Potamogeton crispus,H.Migo,,1933/3/6,Kiangsu,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0163308.jpg,,,,,,,,,, +菹草,Potamogeton crispus,,105,19720827,河北省,450,漳河边水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239180.jpg,,,,,,,,,, +菹草,Potamogeton crispus,程堂仁 张强英 郭洽友,201105082,20111004,贵州,800,水沟边,沉水草本,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00075211.jpg,,,,,,,,,, +眼子菜,Potamogeton distinctus,八一农学院,65111,1965/7/29,新疆,550,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0249574.jpg,,,,,,,,,, +眼子菜,Potamogeton distinctus,何叶琪,6488,1959/8/25,宁夏,1300,,水生草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0157006.jpg,,,,,,,,,, +,Potamogeton distinctus,无,2032,196306,内蒙古,,丘间海子,浮叶植物型,有花有果,https://image.cvh.ac.cn/files/l/LZD/LZD0000396.jpg,,,,,,,,,, +,Potamogeton gramineus,秦仁昌,23506,19290802,云南省,,草坝水中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01472220.jpg,,,,,,,,,, +,Potamogeton gramineus,刘慎谔,3457,1951/7/27,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0189085.jpg,,,,,,,,,, +,Potamogeton gramineus,北京队,895326,19890525,广西壮族自治区,1100,水田旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981124.jpg,,,,,,,,,, +微齿眼子菜,Potamogeton maackianus,C.W.Wang,62733,19350000,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01472086.jpg,,,,,,,,,, +微齿眼子菜,Potamogeton maackianus,,33,19750817,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01487816.jpg,,,,,,,,,, +微齿眼子菜,Potamogeton maackianus,毕列爵,129,,湖南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01472073.jpg,,,,,,,,,, +浮叶眼子菜,Potamogeton natans,赵福,428,19530817,北京,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00136114.jpg,,,,,,,,,, +浮叶眼子菜,Potamogeton natans,,L.3790,1931/9/13,新疆,1050,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0017169.jpg,,,,,,,,,, +浮叶眼子菜,Potamogeton natans,李学根,202071,19580714,广东省,0,,水生草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0635564.jpg,,,,,,,,,, +,Potamogeton nodosus,T.T.Yu,12480,19370727,云南省,3000,ditch side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01472336.jpg,,,,,,,,,, +,Potamogeton nodosus,Ellen Dean Bear Creek Ranch Grazing Committee,5772,20090619,,493,central part of ranch at large stock pond floating in stock pond,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110128.jpg,,,,,,,,,, +,Potamogeton nodosus,"李安仁,朱家楠",8760,19580916,新疆维吾尔自治区,,水生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01472334.jpg,,,,,,,,,, +眼子草,Potamogeton octandrus,谭沛祥,59180,19580820,广东省,,山地山谷水中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01472382.jpg,,,,,,,,,, +八蕊眼子菜,Potamogeton octandrus,聂敏祥,9956,19650804,江西省,0~350,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0635626.jpg,,,,,,,,,, +眼子草,Potamogeton octandrus,Hsiao-Ying Shen,758,19950508,台湾省,1670,"Aquatic,in the lake.",,无花无果,https://image.cvh.ac.cn/files/l/PE/00021271.jpg,,,,,,,,,, +尖叶眼子菜,Potamogeton oxyphyllus,许为斌、黄俞淞,10645,20100616,广西壮族自治区,850,石灰岩山坡阔叶林,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00281428.jpg,,,,,,,,,, +尖叶眼子菜,Potamogeton oxyphyllus,Kudo & Sasaki,15310,19290918,台湾省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01472417.jpg,,,,,,,,,, +尖叶眼子菜,Potamogeton oxyphyllus,融安县普查队,450224170808076LY,20170808,广西,272,沟边,水生植物,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0210947.jpg,,,,,,,,,, +穿叶眼子菜,Potamogeton perfoliatus,王作宾,16941,1953/7/15,甘肃,1500,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0071837.jpg,,,,,,,,,, +穿叶眼子菜,Potamogeton perfoliatus,傅坤俊,7574,1953/9/4,陕西,1185,,草本水生,无花无果,https://image.cvh.ac.cn/files/l/WUK/0058922.jpg,,,,,,,,,, +穿叶眼子菜,Potamogeton perfoliatus,泛喜马拉雅植物志巴基斯坦采集队,FPH-0139,20120618,,1850,rive bank,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004606.jpg,,,,,,,,,, +小眼子菜,Potamogeton pusillus,张永洪,王晓雄,周卓,岳亮亮,SunH-07ZX-1627,20080730,西藏,3935,高山草甸,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1390403.jpg,,,,,,,,,, +缐叶眼子菜,Potamogeton pusillus,,5142,19650911,内蒙古,,水中小河旁,草本直立,良好,https://image.cvh.ac.cn/files/l/BJM/144494.jpg,,,,,,,,,, +小眼子菜,Potamogeton pusillus,南队,740,19860815,内蒙古自治区,1100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239157.jpg,,,,,,,,,, +关节委陵菜,Potentilla articulata,,2007,19721010,西藏自治区,4500~4800,高山灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833876.jpg,,,,,,,,,, +关节委陵菜,Potentilla articulata,J.F. Rock,16423,28-Jun,四川; SZECHWAN,3650,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076593.jpg,,,,,,,,,, +关节委陵菜,Potentilla articulata,"李新辉, 杨涛, 温昌润",Lixh11,20170907,云南,4550,高山流石滩,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1449159.jpg,,,,,,,,,, +圆齿委陵菜,Potentilla crenulata,"李渤生,程树志",6151,19830804,西藏自治区,4700,高山灌丛草甸中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074598.jpg,,,,,,,,,, +圆齿委陵菜,Potentilla crenulata,姜恕等,6072,19600626,云南省,2750,阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00020628.jpg,,,,,,,,,, +滇西委陵菜,Potentilla delavayi,蓝顺彬,495,19850728,云南省,3700,高山潮湿草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838256.jpg,,,,,,,,,, +滇西委陵菜,Potentilla delavayi,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00354756.jpg,,,,,,,,,, +滇西委陵菜,Potentilla delavayi,Forrest,6176,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00076637.jpg,,,,,,,,,, +川滇委陵菜,Potentilla fallens,刘飞,522428141103256 LY,20141103,贵州省,2120.3,野生植物、中生、阳性、阔叶林、中温、沙土,多年生草本植物,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0061239.jpg,,,,,,,,,, +川滇委陵菜,Potentilla fallens,"韩裕丰,邓坤梅,黄晓鹤",83-152,19830718,四川省,3850,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01834537.jpg,,,,,,,,,, +,Potentilla fallens,张泽荣,25268,19580617,重庆市,2200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00934311.jpg,,,,,,,,,, +川边委陵菜,Potentilla gombalana,Harry Smith,10714,19340722,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934240.jpg,,,,,,,,,, +川边委陵菜,Potentilla gombalana,青藏队,5486,19750604,西藏自治区,3900,山坡,河边,砂土地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/677057.jpg,,,,,,,,,, +川边委陵菜,Potentilla gombalana,彭玉兰、余奇、李林霖,THP-KD-1109,20170613,四川,3091,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242931.jpg,,,,,,,,,, +腺粒委陵菜,Potentilla granulosa,崔友文,5479,19510823,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00880476.jpg,,,,,,,,,, +腺粒委陵菜,Potentilla granulosa,崔友文,5367,19510820,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821845.jpg,,,,,,,,,, +腺粒委陵菜,Potentilla granulosa,吴玉虎,24335,20030702,青海,2500~2600,沟谷、灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00020085.jpg,,,,,,,,,, +白背委陵菜,Potentilla hypargyrea,德格,,19790526,四川,,雅鲁江畔,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM707002615.jpg,,,,,,,,,, +,Potentilla hypargyrea,H. Utech,82-321,19820710,,15,Plants common,,,https://image.cvh.ac.cn/files/l/IBK/IBK00327473.jpg,,,,,,,,,, +白背委陵菜,Potentilla hypargyrea,,,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076714.jpg,,,,,,,,,, +条裂委陵菜,Potentilla lancinata,鞠文彬,郑臣臣,THP-KD-6481,20170818,四川,3629,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242408.jpg,,,,,,,,,, +条裂委陵菜,Potentilla lancinata,,,18890806,云南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00355198.jpg,,,,,,,,,, +,Potentilla lancinata,"Delavay, Pierre Jean Marie",s.n.,06 August 1889,,,,,,https://image.cvh.ac.cn/files/l/E/E00010744.jpg,,,,,,,,,, +大花委陵菜,Potentilla macrosepala,G.Forrest,30945,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833902.jpg,,,,,,,,,, +大花委陵菜,Potentilla macrosepala,,75-1174,19750921,西藏自治区,3200,高山松采伐跡地灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833899.jpg,,,,,,,,,, +大花委陵菜,Potentilla macrosepala,田效文等,943,19810825,云南省,3210,草甸草场,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833901.jpg,,,,,,,,,, +多头委陵菜,Potentilla multiceps,生物研究所西藏考察队,3685,19740721,西藏,5200,河滩,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019878.jpg,,,,,,,,,, +多头委陵菜,Potentilla multiceps,"郭柯,郑度",12121,19880702,新疆维吾尔自治区,3140,黄土垄,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352632.jpg,,,,,,,,,, +多头委陵菜,Potentilla multiceps,PE西藏考察队,7557,20180620,西藏自治区,4158,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333959.jpg,,,,,,,,,, +羽毛委陵菜,Potentilla plumosa,李全喜,119,19630511,甘肃省,1500,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838416.jpg,,,,,,,,,, +羽毛委陵菜,Potentilla plumosa,汤宗孝等,841,19930809,四川省,3200,草甸草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838434.jpg,,,,,,,,,, +羽毛委陵菜,Potentilla plumosa,青藏队植被组,13464,19760813,西藏,4900~5000,山坡草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821863.jpg,,,,,,,,,, +大果委陵菜,Potentilla taronensis,T.T.Yu,20915,19381101,云南省,3200,mt slop open & roeky placa,herb perennial,有花无果,https://image.cvh.ac.cn/files/l/PE/00020641.jpg,,,,,,,,,, +大果委陵菜,Potentilla taronensis,白洪兵、李红,533324180827464LY,20180827,云南,3273,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009572.jpg,,,,,,,,,, +,Potentilla taronensis,"Yü, Tse-tsun",20915,1-Nov-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00072578.jpg,,,,,,,,,, +簇生委陵菜,Potentilla turfosa,青藏队,8655,19820726,云南省,3500,垭口附近灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01159126.jpg,,,,,,,,,, +簇生委陵菜,Potentilla turfosa,,,19590619,四川,,山顶阴处,直立草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM707002981.jpg,,,,,,,,,, +簇生委陵菜,Potentilla turfosa,"李渤生,程树志",695,19820905,西藏自治区,3700~4300,高山水边常见种,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074769.jpg,,,,,,,,,, +西藏委陵菜,Potentilla xizangensis,青藏队植被组,4233,19750620,西藏自治区,4600,阴坡杜鹃灌丛内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810279.jpg,,,,,,,,,, +西藏委陵菜,Potentilla xizangensis,生物研究所西藏考察队,3236,19740618,新疆维吾尔自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/42505.jpg,,,,,,,,,, +西藏委陵菜,Potentilla xizangensis,青藏队植被组,4233,19750620,西藏,4460,阴坡杜鹃灌丛内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810251.jpg,,,,,,,,,, +石柑子,Pothos chinensis,"张志松,闵天禄,许介眉等",400035,19640405,贵州省,505,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241212.jpg,,,,,,,,,, +石柑子,Pothos chinensis,王启无,73326,19360400,云南省 ,0~1450,,Epiphyte,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0611624.jpg,,,,,,,,,, +石柑子,Pothos chinensis,侯宽昭,72320,19350512,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00141977.jpg,,,,,,,,,, +,Pothos junghuhnii,,,,,,,,,,,,,,,,,,, +,Pothos macrocephalus,,,,,,,,,,,,,,,,,,, +百足藤,Pothos repens,广西队,3011,,湖南省,0,,藤本  ,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0612218.jpg,,,,,,,,,, +百足藤,Pothos repens,农东新,黄俞淞,451421150426002LY,20150426,广西,194,灌丛,林缘,石灰土,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0187804.jpg,,,,,,,,,, +百足藤,Pothos repens,中越考察队,2404,19650208,宁平,460,老林下附生树干,,无花有果,https://image.cvh.ac.cn/files/l/KUN/69328.jpg,,,,,,,,,, +螳螂跌打,Pothos scandens,,2839,19740830,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01539498.jpg,,,,,,,,,, +螳螂跌打,Pothos scandens,李恒,89-054,19890828,东德,0,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/69140.jpg,,,,,,,,,, +螳螂跌打,Pothos scandens,,236,19410300,四川省,600,阴湿 石灰性土,,无花无果,https://image.cvh.ac.cn/files/l/PE/01601230.jpg,,,,,,,,,, +,Premna oligantha,,,,,,,,,,,,,,,,,,, +,Premna yunnanensis,,,,,,,,,,,,,,,,,,, +折瓣雪山报春,Primula advena,K.Kondo,8209,19280731,,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/93456.jpg,,,,,,,,,, +折瓣雪山报春,Primula advena,T.T.Yu,7277,19370717,四川省,2700,under woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233843.jpg,,,,,,,,,, +折瓣雪山报春,Primula advena,H.Ohashi etc.,127,19670514,Kochi,0,In Abies forest with moderate humidity,,有花无果,https://image.cvh.ac.cn/files/l/KUN/775584.jpg,,,,,,,,,, +粗葶报春,Primula aemula,中甸队,63-3262,19630706,云南省,3800,Abies 林下边阴湿草丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/186783.jpg,,,,,,,,,, +粗葶报春,Primula aemula,F.T.Wang,21509,19300629,四川省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00093757.jpg,,,,,,,,,, +裂瓣穗状报春,Primula aerinantha,白水江考察队,5135,20070519,甘肃省,3360,高山草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849578.jpg,,,,,,,,,, +裂瓣穗状报春,Primula aerinantha,魏振铎,249,1964/06/,青海省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0296641.jpg,,,,,,,,,, +,Primula aliciae,"Ludlow, F. & Sherriff, G.",5423,26-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00024760.jpg,,,,,,,,,, +蔓茎报春,Primula alsophila,白水江考察队,813,20060630,甘肃省,3300,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849579.jpg,,,,,,,,,, +,Primula alsophila,"Farrer, Reginald",178,21-Jul-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00024109.jpg,,,,,,,,,, +蔓茎报春,Primula alsophila,侯喜祥,392,1973/4/19,陕西省,1450,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0397509.jpg,,,,,,,,,, +,Primula amethystina,,,,,,,,,,,,,,,,,,, +紫晶报春,Primula amethystina,,221,19790601,四川,3900,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715702241.jpg,,,,,,,,,, +紫晶报春,Primula amethystina,T.T.Yu,5475,19370518,四川省,3800,mt.slope grassy place,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233921.jpg,,,,,,,,,, +茴香灯台报春,Primula anisodora,陈善墉,何铸,钟明芳等,10539,19580630,四川省,1720,,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048637.jpg,,,,,,,,,, +茴香灯台报春,Primula anisodora,袁帅,YS359,20130623,云南省,0~2953,山地、林缘、水沟中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0775967.jpg,,,,,,,,,, +报春花,Primula anisodora,峨边组,535,19780706,四川,1800,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715702237.jpg,,,,,,,,,, +,Primula annulata,"Kingdon Ward, F",511,13-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00024190.jpg,,,,,,,,,, +,Primula aromatica,T.T.Yu,7439,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947620.jpg,,,,,,,,,, +,Primula aromatica,"Forrest, George",20568,21-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00024162.jpg,,,,,,,,,, +香花报春,Primula aromatica,毛康珊、任广朋、邹嘉宾,LiuJQ-240,20111007,西藏自治区,0~4679,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0285721.jpg,,,,,,,,,, +橙红灯台报春,Primula aurantiaca,,165,19790515,四川,2500,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715702364.jpg,,,,,,,,,, +橙红灯台报春,Primula aurantiaca,Joseph F.Rock,25086,19320800,云南省 ,4300,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048634.jpg,,,,,,,,,, +,Primula aurantiaca,"Forrest, George",21497,22-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00024063.jpg,,,,,,,,,, +圆叶报春,Primula baileyana,许建初,2146,19880802,西藏自治区,4500,高山草地,,,https://image.cvh.ac.cn/files/l/KUN/1291071.jpg,,,,,,,,,, +圆叶报春,Primula baileyana,"S. Akiyama ,H. Ikeda,H. Tsukaya,武素功",926,20010727,云南省,4310,On rocky slpe,,,https://image.cvh.ac.cn/files/l/KUN/1295239.jpg,,,,,,,,,, +,Primula baileyana,"Kingdon Ward, F",6093,15-Aug-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00024695.jpg,,,,,,,,,, +,Primula barbatula,"Ludlow, F & Sherriff, G",2350,19-Jul-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024534.jpg,,,,,,,,,, +巴塘报春,Primula bathangensis,K.M.Feng,2723,19390820,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947986.jpg,,,,,,,,,, +巴塘报春,Primula bathangensis,Joseph F.Rock,25070,19320500,云南省 ,3000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048656.jpg,,,,,,,,,, +巴塘报春,Primula bathangensis,余奇,代文台,CIBYQ085B011,20190810,四川,2724,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1503608.jpg,,,,,,,,,, +山丽报春,Primula bella,PE西藏考察队,7232,20180612,西藏自治区,3398,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332096.jpg,,,,,,,,,, +山丽报春,Primula bella,青藏队横断山队,5559,19810829,四川省,4600,山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01502202.jpg,,,,,,,,,, +山丽报春,Primula bella,J.F.Rock,25144,1932.7.,-,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0020369.jpg,,,,,,,,,, +地黄叶报春,Primula blattariformis,T.T.Yu,7353,19370722,四川省,2200,margin of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205435.jpg,,,,,,,,,, +地黄叶报春,Primula blattariformis,M.Lacen,57A,19340800,,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00093890.jpg,,,,,,,,,, +地黄叶报春,Primula blattariformis,"张挺, 郭永杰, 吴之坤, 姜虹, 李贵能",16CS12598,20160815,四川,2588,公路边崖壁下方,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1451506.jpg,,,,,,,,,, +糙毛报春,Primula blinii,"亚吉东, 陈智发, 陈小灵",LJBG0038,20141010,云南,4523,高山草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1451968.jpg,,,,,,,,,, +糙毛报春,Primula blinii,郝刚、颜海飞,1006,20100617,云南省 ,0~3800,路边,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0770516.jpg,,,,,,,,,, +糙毛报春,Primula blinii,吉首大学生物资源与环境科学学院,GWJ20170610_0340,20170610,湖南,402,路边、林缘,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU39906.jpg,,,,,,,,,, +,Primula bomiensis,,,,,,,,,,,,,,,,,,, +木里报春,Primula boreiocalliantha,李红、和仕波,533324180827448LY,20180827,云南,3023,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009351.jpg,,,,,,,,,, +木里报春,Primula boreiocalliantha,方震东、谢爱芳、海仙、李红,DJDC-569,20160623,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000066.jpg,,,,,,,,,, +,Primula boreiocalliantha,"Forrest, George",14251,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00024209.jpg,,,,,,,,,, +小苞报春,Primula bracteata,王启无,65676,193508,西藏,3800,Mountain slope,,有果无花,https://image.cvh.ac.cn/files/l/KUN/187274.jpg,,,,,,,,,, +小苞报春,Primula bracteata,D.E.Boufford et al.,41655,20090801,西藏自治区,3750~3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026110.jpg,,,,,,,,,, +小苞报春,Primula bracteata,青藏队,4900,19810817,四川省,3850,河沟山坡冷杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01502207.jpg,,,,,,,,,, +匍枝粉报春,Primula caldaria,余奇,李诗琦,CIBYQ063,20190429,四川,2053,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1504098.jpg,,,,,,,,,, +匍枝粉报春,Primula caldaria,刀志灵;蔡磊;杨静;张品;杨佳俊;姚刚,KIBDZL031,20170922,西藏,2305,路边溪水大石旁,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1561260.jpg,,,,,,,,,, +匍枝粉报春,Primula caldaria,龚洵,s.n.,,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0098226.jpg,,,,,,,,,, +亮白小报春,Primula candicans,罗建、汪书丽,LiuJQ-08-XZ-069,20080723,西藏自治区,4550,高山草甸湿地,直立草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00000647.jpg,,,,,,,,,, +,Primula candicans,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13749,21-May-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00024509.jpg,,,,,,,,,, +条裂垂花报春,Primula cawdoriana,青藏队植被组,2599,19740810,西藏自治区,4400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803152.jpg,,,,,,,,,, +条裂垂花报春,Primula cawdoriana,魏来、何毅,BNUXZ2016579,20160802,西藏,4200,路边灌草丛,,,https://image.cvh.ac.cn/files/l/BNU/0028207.jpg,,,,,,,,,, +,Primula cawdoriana,"Kingdon Ward, F",5741,5-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00024734.jpg,,,,,,,,,, +蜡黄报春,Primula cerina,"D.E.Boufford,B.Bartholomew,C.Y",28060,1998-07-,四川省,4500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0116572.jpg,,,,,,,,,, +,Primula cerina,"Rock, J.F.",17702,29-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00024218.jpg,,,,,,,,,, +,Primula chamaedoron,"Ludlow, F & Sherriff, G",2373,14-Jul-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024663.jpg,,,,,,,,,, +紫花雪山报春,Primula chionantha,Joseph F.Rock,12392,19250600,甘肃省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048665.jpg,,,,,,,,,, +紫花雪山报春,Primula chionantha,宝兴队,78-0754,19780717,四川,3800~4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715702330.jpg,,,,,,,,,, +紫花雪山报春,Primula chionantha,耿玉英等,90151,1990-05-,青海县,3550,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0083483.jpg,,,,,,,,,, +裂叶脆蒴报春,Primula chionata,青藏队补点组,751338,19750812,西藏自治区,4200~4400,古冰川谷地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947793.jpg,,,,,,,,,, +,Primula chionogenes,"Ludlow, F & Sherriff, G",3983,7-Jun-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00024666.jpg,,,,,,,,,, +中甸灯台报春,Primula chungensis,T.T.Yu,14546,19371015,四川省,3340,under thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947619.jpg,,,,,,,,,, +,Primula chungensis,"Kingdon-Ward, Francis",259,13-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00024069.jpg,,,,,,,,,, +中甸灯台报春,Primula chungensis,空,10209,1980.6.2,西藏,32~3,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0020383.jpg,,,,,,,,,, +短茎粉报春,Primula clutterbuckii,青藏队,10116,19820908,西藏自治区,3700,山坡灌丛草地岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01502221.jpg,,,,,,,,,, +鹅黄灯台报春,Primula cockburniana,张挺,张书东,郭永杰,13CS7600,20130526,西藏,3677,河边砂地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1395846.jpg,,,,,,,,,, +鹅黄报春,Primula cockburniana,,355,19760830,贵州省,2100,草坡水旁,直立草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0069049.jpg,,,,,,,,,, +鹅黄灯台报春,Primula cockburniana,"川西队,关克俭,王文采等",1307,19630802,四川省,3400,山坡路边灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092229.jpg,,,,,,,,,, +番红报春,Primula crocifolia,李馨,73006,19570707,四川省,4150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205613.jpg,,,,,,,,,, +,Primula crocifolia,"Limpricht, Hans W.",1932,7-Jul-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00024553.jpg,,,,,,,,,, +穗花报春,Primula deflexa,G.Forrest,30266,空,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0020392.jpg,,,,,,,,,, +穗花报春,Primula deflexa,白水江考察队,346,20060627,甘肃省,3148,林缘或林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849580.jpg,,,,,,,,,, +穗花报春,Primula deflexa,E.H.Wilson,4035,19040700,,3000~3333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205665.jpg,,,,,,,,,, +双花报春,Primula diantha,"李新辉, 杨涛, 温昌润",Lixh32,20170910,四川,4560,高山流石滩,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1457396.jpg,,,,,,,,,, +双花报春,Primula diantha,Yuan Xu,Xu130102,20130604,云南省 ,0,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769969.jpg,,,,,,,,,, +,Primula diantha,"张建文,杨斌,陈洪梁",Zh898,20130912,四川省,4760,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064968.jpg,,,,,,,,,, +灌丛报春,Primula dumicola,钟补勤,447,19280429,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205726.jpg,,,,,,,,,, +,Primula dumicola,"Forrest, George",21657,22-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00024617.jpg,,,,,,,,,, +灌丛报春,Primula dumicola,独龙江考察队,5175,19910326,云南省,2100,沟边石上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/189099.jpg,,,,,,,,,, +,Primula erratica,"Farrer, Reginald",40,11-May-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00024126.jpg,,,,,,,,,, +甘南报春,Primula erratica,吴玉虎等,4982,19900727,青海省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/163022.jpg,,,,,,,,,, +甘南报春,Primula erratica,王作宾,19241,1964/5/3,甘肃省,2600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0227652.jpg,,,,,,,,,, +镰叶雪山报春,Primula falcifolia,"程树志,李渤生",47,19820814,西藏自治区,4150,高山 灌丛草甸中Salix混生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495823.jpg,,,,,,,,,, +,Primula falcifolia,"Kingdon Ward, F",5839,24-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00024614.jpg,,,,,,,,,, +镰叶雪山报春,Primula falcifolia,谢登峰、蔡竞、秦换换,CJ-008-A-032,20200920,四川,2872.83m,灌丛山坡,阴生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02061267.jpg,,,,,,,,,, +金川粉报春,Primula fangii,汤宗孝,1141,19830620,四川省,3100,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205758.jpg,,,,,,,,,, +金川粉报春,Primula fangii,魏振铎,288,19620715,青海省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0212530.jpg,,,,,,,,,, +金川粉报春,Primula fangii,刘成;张挺;李昌洪,19CS18108,20190725,四川,3313,河边山坡,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551282.jpg,,,,,,,,,, +,Primula farreriana,"Farrer, R. & Purdum, W.",560,15-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00024226.jpg,,,,,,,,,, +束花粉报春,Primula fasciculata,张大才等,XL-2-4-14,20170726,四川,4180,沼泽灌丛,多年生小草本,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0011505.jpg,,,,,,,,,, +束花粉报春,Primula fasciculata,青藏队植被组,8038,19760525,西藏自治区,3800,沟谷,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061818.jpg,,,,,,,,,, +束花粉报春,Primula fasciculata,,98,19420614,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205790.jpg,,,,,,,,,, +雅东粉报春,Primula fernaldiana,郝刚、徐源等,120157,20120628,四川省,0~3315,路边荒山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769382.jpg,,,,,,,,,, +雅东粉报春,Primula fernaldiana,,40,19800611,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715702451.jpg,,,,,,,,,, +,Primula fernaldiana,"Rock, J.F.",23682,May-32,,,,,,https://image.cvh.ac.cn/files/l/E/E00024128.jpg,,,,,,,,,, +,Primula flabellifera,"Kingdon Ward, F",11949,9-Jul-35,,,,,,https://image.cvh.ac.cn/files/l/E/E00024739.jpg,,,,,,,,,, +,Primula flava,"Purdom, William",739,,,,,,,https://image.cvh.ac.cn/files/l/E/E00024129.jpg,,,,,,,,,, +,Primula flava,江庆棠,阿004,19570621,新疆,1800,有毒,坡之中,混交林下,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00031319.jpg,,,,,,,,,, +黄花粉叶报春,Primula flava,Ho Ting-nung et al.,359,19930726,青海省,3450~3550,General area alpine meadow with close species rich turf and ourcrops of scist and quartzite.Moist slope in rock crevices,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106115.jpg,,,,,,,,,, +巨伞钟报春,Primula florindae,五团卫生队,,197107,西藏,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187406.jpg,,,,,,,,,, +巨伞钟报春,Primula florindae,郭先林、肖燕萍,2038457,20200701,四川,4622,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02038457.jpg,,,,,,,,,, +,Primula florindae,"Kingdon Ward, F",5781,15-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00024720.jpg,,,,,,,,,, +灰岩皱叶报春,Primula forrestii,T.T.Yu,5723,19370525,四川省,3400,under woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946682.jpg,,,,,,,,,, +灰岩皱叶报春,Primula forrestii,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946789.jpg,,,,,,,,,, +灰岩皱叶报春,Primula forrestii,Joseph F.Rock,24813,19320400,云南省 ,3500,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048787.jpg,,,,,,,,,, +苞芽粉报春,Primula gemmifera,张林、李星月、张晓严,6-406,20180619,西藏,4408,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023765.jpg,,,,,,,,,, +苞芽粉报春,Primula gemmifera,昆虫所,107,19550000,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205845.jpg,,,,,,,,,, +苞芽粉报春,Primula gemmifera,T.Tang,855,19290527,山西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00093764.jpg,,,,,,,,,, +长瓣穗花报春,Primula gracilenta,俞德浚,13110,19370901,四川,4000,alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187626.jpg,,,,,,,,,, +长瓣穗花报春,Primula gracilenta,青藏队,14744,19830912,四川省,2950,高山松林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187627.jpg,,,,,,,,,, +,Primula gracilenta,T.T.Yu,12098,19370712,云南省,3500,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233901.jpg,,,,,,,,,, +禾叶报春,Primula graminifolia,高云东,鞠文彬,杨焰,THP-KD-1999,20170717,四川,4100~4500,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243817.jpg,,,,,,,,,, +禾叶报春,Primula graminifolia,王启无,65964,19350800,西藏自治区,3700,"S-slope,Dry grassy",,无花有果,https://image.cvh.ac.cn/files/l/PE/00205879.jpg,,,,,,,,,, +禾叶报春,Primula graminifolia,C.W.Wang,65964,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00093916.jpg,,,,,,,,,, +宝兴掌叶报春,Primula heucherifolia,,10090,,,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0305850.jpg,,,,,,,,,, +宝兴掌叶报春,Primula heucherifolia,汤宗孝,1322,19830703,四川省,3850,高山稀疏灌丛草甸草场,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947779.jpg,,,,,,,,,, +宝兴掌叶报春,Primula heucherifolia,,8962,19600613,云南省,3700,山坡阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01060887.jpg,,,,,,,,,, +,Primula hilaris,"Ludlow, F. & Sherriff, G.",2370,14-Jul-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024681.jpg,,,,,,,,,, +川北脆蒴报春,Primula hoffmanniana,茂汶组,2556,1959-6 1,四川省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0111470.jpg,,,,,,,,,, +单伞长柄报春,Primula hoi,何铸,周子林,12824,19520000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00027757.jpg,,,,,,,,,, +矮葶缺裂报春,Primula humilis,C.S.Liu,1452,19340831,四川省,3700~4600,upon rock side,,有花有果,https://image.cvh.ac.cn/files/l/PE/01060888.jpg,,,,,,,,,, +短葶缺裂报春,Primula humilis,洪雅组,1006,19790816,四川,,,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM715702417.jpg,,,,,,,,,, +亮叶报春,Primula hylobia,T.T.Yu,8357,19370529,云南省,3100,among thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946223.jpg,,,,,,,,,, +,Primula hylobia,"Ten, Pater Siméon",387,23-Apr-20,,,,,,https://image.cvh.ac.cn/files/l/E/E00024328.jpg,,,,,,,,,, +,Primula inopinata,,,,,,,,,,,,,,,,,,, +缺叶钟报春,Primula ioessa,贾慎修,232,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00205935.jpg,,,,,,,,,, +缺叶钟报春,Primula ioessa,"张永田,郞楷永",2491,19650903,西藏自治区,5350,山坡水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205934.jpg,,,,,,,,,, +,Primula ioessa,"Ludlow, F. & Sherriff, G.",2514,27-Aug-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024721.jpg,,,,,,,,,, +藏南粉报春,Primula jaffreyana,克里木 ,T112,83.08.16,新疆维吾尔自治区 ,4610,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00029615.jpg,,,,,,,,,, +藏南粉报春,Primula jaffreyana,田旗、王正伟、郭光普,TQ00432,20110501,西藏,3320,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0071205.jpg,,,,,,,,,, +,Primula jaffreyana,Dr King's Collector,s.n.,1882,,,,,,https://image.cvh.ac.cn/files/l/E/E00024455.jpg,,,,,,,,,, +,Primula jucunda,"Ludlow, F. & Sherriff, G.",1732,29-May-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024684.jpg,,,,,,,,,, +,Primula kialensis,"Soulié, J.A.",738,1893-5-15,,,,,,https://image.cvh.ac.cn/files/l/P/P00649658.jpg,,,,,,,,,, +,Primula kialensis,侯喜祥,391,19730419,陕西省,1450,山坡岩石下,草本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/003547.jpg,,,,,,,,,, +等梗报春,Primula kialensis,余奇、黎怀诚,THP-KD-0660,20170606,四川,2220~2702,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243029.jpg,,,,,,,,,, +工布报春,Primula kongboensis,K.Yao et,3082,19900705,西藏自治区,4500,,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048791.jpg,,,,,,,,,, +工布报春,Primula kongboensis,张林、李星月、张晓严,2-162,20180612,西藏,4225,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023793.jpg,,,,,,,,,, +条裂叶报春,Primula laciniata,毛康珊、任广朋、邹嘉宾,LiuJQ-239,20111007,西藏自治区,0~4679,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0285720.jpg,,,,,,,,,, +条裂叶报春,Primula laciniata,中国科学院植物研究所,91168,1957/6/5,重庆,1450,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0315164.jpg,,,,,,,,,, +,Primula laciniata,"Limpricht, Hans W.",1799,,,,,,,https://image.cvh.ac.cn/files/l/E/E00024142.jpg,,,,,,,,,, +囊谦报春,Primula lactucoides,藏药队,1334,19720921,青海省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0229488.jpg,,,,,,,,,, +宽裂掌叶报春,Primula latisecta,T.Naito et al. ,1234,19860520,西藏自治区,3000~3300,On wet ground at margin of thickets along stream.,,有花有果,https://image.cvh.ac.cn/files/l/PE/01060905.jpg,,,,,,,,,, +宽裂掌叶报春,Primula latisecta,田旗、王正伟、郭光普,TQ00417,20110501,西藏,3182,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0071120.jpg,,,,,,,,,, +,Primula latisecta,"Kingdon Ward, F",5819,22-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00024421.jpg,,,,,,,,,, +疏序球花报春,Primula laxiuscula,Yuan Xu,Xul30134,20130608,西藏自治区,0~4644,高山草甸灌丛边,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769904.jpg,,,,,,,,,, +匙叶雪山报春,Primula limbata,川经西,2085,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01060909.jpg,,,,,,,,,, +匙叶雪山报春,Primula limbata,J.F.Rock,12381,19250600,甘肃省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00049289.jpg,,,,,,,,,, +,Primula limbata,"Forrest, George",14217,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00024220.jpg,,,,,,,,,, +白粉圆叶报春,Primula littledalei,PE西藏考察队,7844,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333066.jpg,,,,,,,,,, +白粉圆叶报春,Primula littledalei,杨竞生,90-350,1990.7.2,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0020433.jpg,,,,,,,,,, +,Primula littledalei,"Kingdon Ward, F",11814,26-Jul-35,,,,,,https://image.cvh.ac.cn/files/l/E/E00024704.jpg,,,,,,,,,, +,Primula meiotera,,,,,,,,,,,,,,,,,,, +深紫报春,Primula melanantha,郝刚、徐源等,120138,20120627,四川省,0~4172,路旁、山坡、灌丛边或疏林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769365.jpg,,,,,,,,,, +深紫报春,Primula melanantha,李全喜,1293,19630800,甘肃,2300,阴湿山谷林下流水处之石上,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092390.jpg,,,,,,,,,, +粉葶报春,Primula melanops,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20696,20200626,西藏,4693,流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509656.jpg,,,,,,,,,, +粉葶报春,Primula melanops,四川省植被调查队,2902,19730708,四川省,4700,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01935437.jpg,,,,,,,,,, +粉莛报春,Primula melanops,耿玉英等,90143,1990-05-,青海省,3500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0083472.jpg,,,,,,,,,, +雪山小报春,Primula minor,,8950,19600613,,4200~4500,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061012.jpg,,,,,,,,,, +雪山小报春,Primula minor,钟补求,5183,19520811,西藏自治区,4820,高山草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061008.jpg,,,,,,,,,, +雪山小报春,Primula minor,横断山队植被组,4413,19830706,云南省,4200~4600,高山 杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518397.jpg,,,,,,,,,, +中甸海水仙,Primula monticola,夏永梅、朱兴福等,XYM852,20130506,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0770125.jpg,,,,,,,,,, +中甸海水仙,Primula monticola,Zhu Hui Fen,2000-005,20000403,云南省,1900,苗圃,,有花无果,https://image.cvh.ac.cn/files/l/KUN/766900.jpg,,,,,,,,,, +宝兴报春,Primula moupinensis,J.F.Rock,12069,19250400,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00049342.jpg,,,,,,,,,, +宝兴报春,Primula moupinensis,李小杰,LiXJ1021,20190507,四川,1734,林缘坡地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1485134.jpg,,,,,,,,,, +宝兴报春,Primula moupinensis,C.C.Hsieh,40284,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061024.jpg,,,,,,,,,, +,Primula muscarioides,张泽荣,25273,19580617,重庆市,2200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061039.jpg,,,,,,,,,, +,Primula muscarioides,"武建勇,吴振海,刘艳等",38,20050707,陕西省,2677,小路旁(登山石阶),,有花有果,https://image.cvh.ac.cn/files/l/PE/02110542.jpg,,,,,,,,,, +,Primula muscarioides,T.T.Yu,12271,19370719,云南省,3600,in ravine under woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233696.jpg,,,,,,,,,, +林芝报春,Primula ninguida,T.Naito et al. ,1131,19860517,西藏自治区,3900,"On rather wet ground by stream,at margin of Abies forest.Plants yellowish farinose",,有花有果,https://image.cvh.ac.cn/files/l/PE/01061059.jpg,,,,,,,,,, +林芝报春,Primula ninguida,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19276,20200626,西藏,4559,高山流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489320.jpg,,,,,,,,,, +,Primula occlusa,"Ludlow, F & Sherriff, G",725,27-Jul-34,,,,,,https://image.cvh.ac.cn/files/l/E/E00024536.jpg,,,,,,,,,, +,Primula odontica,"Ludlow, F & Sherriff, G",2153,13-Jun-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024383.jpg,,,,,,,,,, +心愿报春,Primula optata,"姜恕,金存礼等",1167,19590620,四川省,3620,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061229.jpg,,,,,,,,,, +心愿报春,Primula optata,刘尚武,3863,19900612,甘肃省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/160119.jpg,,,,,,,,,, +心愿报春,Primula optata,J.F.Rock,14097,19260604,西藏自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00049412.jpg,,,,,,,,,, +圆瓣黄花报春,Primula orbicularis,陈晓澄等,Chenxc-129,20170828,西藏,3778,裸岩壁下干草地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018089.jpg,,,,,,,,,, +圆瓣黄花报春,Primula orbicularis,白龙江考察队,1878,19990604,甘肃省,3000,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560404.jpg,,,,,,,,,, +,Primula orbicularis,"Wilson, Ernest Henry",3003A,6-Apr,,,,,,https://image.cvh.ac.cn/files/l/E/E00024237.jpg,,,,,,,,,, +雅跖花叶报春,Primula oxygraphidifolia,昭觉队,269,19790512,四川,2520,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715702686.jpg,,,,,,,,,, +,Primula oxygraphidifolia,"Kingdon Ward, F",5222,15-Jun-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00024158.jpg,,,,,,,,,, +掌叶报春,Primula palmata,"李新辉, 杨涛, 温昌润",Lixh36,20170911,四川,3688,高山灌丛草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1457383.jpg,,,,,,,,,, +掌叶报春,Primula palmata,白水江考察队,474,20060627,甘肃省,3300,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01849593.jpg,,,,,,,,,, +掌叶报春,Primula palmata,杨光辉,58109,19580515,重庆市,1500~1900,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061326.jpg,,,,,,,,,, +羽叶穗花报春,Primula pinnatifida,G.Forrest,30318,空,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0020470.jpg,,,,,,,,,, +羽叶穗花报春,Primula pinnatifida,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/074703.jpg,,,,,,,,,, +羽叶穗花报春,Primula pinnatifida,T.T.Yu,13634,19371008,云南省,3700,山顶草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233825.jpg,,,,,,,,,, +多脉报春,Primula polyneura,陈实,184,1960/7/27,青海省,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0092285.jpg,,,,,,,,,, +多脉报春,Primula polyneura,"应俊生,洪德元",650246,19650616,西藏自治区,3500,高山栎林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061434.jpg,,,,,,,,,, +多脉报春,Primula polyneura,刘小祥,Ⅳ3040204,19870000,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/CCAU/ccau0001660.jpg,,,,,,,,,, +匙叶小报春,Primula praetermissa,杨金祥,1909,1963/6/18,西藏自治区,4800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0215688.jpg,,,,,,,,,, +,Primula praetermissa,"Ludlow, Sherriff & Taylor",5196A,,,,,,,https://image.cvh.ac.cn/files/l/E/E00024502.jpg,,,,,,,,,, +雅砻黄报春,Primula prattii,川经甘,285,19370630,四川,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/188475.jpg,,,,,,,,,, +雅砻黄报春,Primula prattii,"关克俭,王文采等",551,19630730,四川省,4400,石缝下面,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947216.jpg,,,,,,,,,, +雅砻黄报春,Primula prattii,Hopkingson,614,19300704,甘肃省,3000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061438.jpg,,,,,,,,,, +松潘报春,Primula pseudoglabra,胡启明,8943,1988-05-,四川省,3150,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0083466.jpg,,,,,,,,,, +松潘报春,Primula pseudoglabra,鞠文彬,郑臣臣,THP-KD-6558,20170818,四川,3629,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243863.jpg,,,,,,,,,, +松潘报春,Primula pseudoglabra,,14556,,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/130237523.jpg,,,,,,,,,, +丽花报春,Primula pulchella,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",40582,20090716,西藏自治区,3600~3650,cut over remnant forest on slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043224.jpg,,,,,,,,,, +丽花报春,Primula pulchella,郭永杰,陶以军,李松强,20CS19257,20200512,云南,3278,温室,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1488699.jpg,,,,,,,,,, +丽花报春,Primula pulchella,Yuan Xu,Xu130073,20130531,云南省 ,0~3087,路旁干山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769951.jpg,,,,,,,,,, +粉被灯台报春,Primula pulverulenta,,190,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061490.jpg,,,,,,,,,, +粉被灯台报春,Primula pulverulenta,王启无,65589,19350800,西藏自治区,3400,Border of woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061487.jpg,,,,,,,,,, +粉被灯台报春,Primula pulverulenta,Harry Smith,10188,19340626,四川省,2800,in prato humido,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061486.jpg,,,,,,,,,, +紫罗兰报春,Primula purdomii,孙学刚等,20010152,20010524,甘肃省,3000~3500,高山草甸林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01798343.jpg,,,,,,,,,, +紫罗兰报春,Primula purdomii,"张建文,杨斌,陈洪梁",Zh873,20130912,四川省,4510,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064891.jpg,,,,,,,,,, +紫罗兰报春,Primula purdomii,"张建文,杨斌,陈洪梁",Zh490,20130828,青海省,4430,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02049341.jpg,,,,,,,,,, +青海报春,Primula qinghaiensis,T.N.Ho et al.,2963,19960907,青海省,3700,"Limestone gorge,Growing on damp deeply shaded rock ledges at near base of cliffs",,有花有果,https://image.cvh.ac.cn/files/l/PE/01106125.jpg,,,,,,,,,, +,Primula rimicola,高信芬、涂卫国、何海、乔永康,7496,20030920,西藏自治区,4200,高山草地,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190791.jpg,,,,,,,,,, +岩生小报春,Primula rimicola,方震东,g-94,20021009,云南,3400,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008291.jpg,,,,,,,,,, +,Primula rimicola,"Ludlow, F & Sherriff, G",2359,14-Jul-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024507.jpg,,,,,,,,,, +纤柄皱叶报春,Primula rockii,T.T.Yu,14319,19370921,四川省,3100,石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946537.jpg,,,,,,,,,, +,Primula rockii,"Rock, Joseph Francis Charles",16451,28-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00024059.jpg,,,,,,,,,, +,Primula rubicunda,高信芬、涂卫国、何海、乔永康,6699,20030831,西藏,4800,高寒灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189393.jpg,,,,,,,,,, +,Primula rubicunda,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13852,5-Jun-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00024517.jpg,,,,,,,,,, +,Primula runcinata,T.T.Yu,13861,19371024,云南省,3100,杉林中石崖下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948000.jpg,,,,,,,,,, +,Primula runcinata,K. M. Feng,1448,1939/7/4,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00073557.jpg,,,,,,,,,, +黄粉缺裂报春,Primula rupicola,"姜恕,金存礼等",982,19590612,四川省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061509.jpg,,,,,,,,,, +黄粉缺裂报春,Primula rupicola,俞德浚,12046,19370708,云南省,3400,rocky hill,,有花无果,https://image.cvh.ac.cn/files/l/KUN/188568.jpg,,,,,,,,,, +黄粉缺裂报春,Primula rupicola,俞德浚,12983,19370829,四川,3700,margin of woods,,有花无果,https://image.cvh.ac.cn/files/l/KUN/188590.jpg,,,,,,,,,, +黑萼报春,Primula russeola,横断山队植被组,4456,19830706,云南省,4200~4400,高山杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518387.jpg,,,,,,,,,, +黑萼报春,Primula russeola,植被队,乡2902,1973-7 8,四川省,4700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0111875.jpg,,,,,,,,,, +,Primula russeola,Limpricht,2088,,,,,,,https://image.cvh.ac.cn/files/l/E/E00024582.jpg,,,,,,,,,, +粉萼垂花报春,Primula sandemaniana,Yuan Xu,Xul30210,20130808,西藏自治区,0~3920,湿润石壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769901.jpg,,,,,,,,,, +,Primula sandemaniana,"Sherriff, G",2796,,,,,,,https://image.cvh.ac.cn/files/l/E/E00024744.jpg,,,,,,,,,, +黄葵叶报春,Primula saturata,江津组,108,19790430,四川,800,,柔弱小草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715703020.jpg,,,,,,,,,, +,Primula saturata,"Rock, J.F.",23681,May-32,,,,,,https://image.cvh.ac.cn/files/l/E/E00024191.jpg,,,,,,,,,, +偏花报春,Primula secundiflora,郎楷永等,2338,19830724,四川省,3400,河滩草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947910.jpg,,,,,,,,,, +偏花报春,Primula secundiflora,姜恕等,10206,19600624,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106070.jpg,,,,,,,,,, +偏花报春,Primula secundiflora,中国科学院植物所昆明分所,76-88,19760701,西藏自治区,3900,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947478.jpg,,,,,,,,,, +七指报春,Primula septemloba,,4 2301,19590714,河北省,1600,山坡阴处灌木林,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061536.jpg,,,,,,,,,, +七指报春,Primula septemloba,,5485,19740704,四川省,4000,灌木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946464.jpg,,,,,,,,,, +七指报春,Primula septemloba,高信芬,鞠文彬,郑臣臣,THP-KD-5653,20170807,四川,3643,林中,多年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243857.jpg,,,,,,,,,, +小伞报春,Primula sertulum,熊济华.周子林,91065,1957/5/30,重庆,1200,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0314212.jpg,,,,,,,,,, +小伞报春,Primula sertulum,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00049545.jpg,,,,,,,,,, +小伞报春,Primula sertulum,黄河调查队,3412,19570616,甘肃省,3400,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061562.jpg,,,,,,,,,, +车前叶报春,Primula sinoplantaginea,王启无,66028,19350800,西藏自治区,3850,"Valley,high mountain range",,有花有果,https://image.cvh.ac.cn/files/l/PE/01061723.jpg,,,,,,,,,, +车前叶报春,Primula sinoplantaginea,H. T. Tsai,58067,,云南,,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0039134.jpg,,,,,,,,,, +车前叶报春,Primula sinoplantaginea,D.E.Boufford et al.,36642,20060816,四川省,4475,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913218.jpg,,,,,,,,,, +滋圃报春,Primula soongii,宋滋圃,38586,1954/6/17,四川省,4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0175412.jpg,,,,,,,,,, +缺裂报春,Primula souliei,赵裕章,21227,19390731,云南省,,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946194.jpg,,,,,,,,,, +缺裂报春,Primula souliei,高信芬、黎怀诚、余奇、郑臣臣,THP-KD-0509,20170604,四川,2220~2702,,一年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243821.jpg,,,,,,,,,, +缺裂报春,Primula souliei,Harry Smith,11691,19340831,四川省,4600,in rupibus calcareis,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061810.jpg,,,,,,,,,, +,Primula stenocalyx,"Rock, J.F.",17520,29-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00024132.jpg,,,,,,,,,, +狭萼报春,Primula stenocalyx,C. W. Wang,64395,1935/07/,云南省,3000,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0038354.jpg,,,,,,,,,, +狭萼报春,Primula stenocalyx,N.M.Przewalski,s.n.,,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099735.jpg,,,,,,,,,, +,Primula subularia,"Ludlow, F & Sherriff, G",1912,14-Jul-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024521.jpg,,,,,,,,,, +四川报春,Primula szechuanica,,70,19640615,青海省,4200,小溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082993.jpg,,,,,,,,,, +四川报春,Primula szechuanica,高连明,严丽君,吴之坤,GLM-123631,20120628,西藏自治区,4397,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241259.jpg,,,,,,,,,, +四川报春,Primula szechuanica,Yuan Xu,Xu130059,20130529,云南省 ,0,高山、灌丛下,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769952.jpg,,,,,,,,,, +甘青报春,Primula tangutica,王作宾,13041,19420710,宁夏回族自治区,2500,山坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061844.jpg,,,,,,,,,, +甘青报春,Primula tangutica,"张建文,杨斌,陈洪梁",Zh460,20130826,青海省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064824.jpg,,,,,,,,,, +甘青报春,Primula tangutica,J.F.Rock,14310,19360600,西藏自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00049606.jpg,,,,,,,,,, +,Primula tayloriana,,,,,,,,,,,,,,,,,,, +纤柄报春,Primula tenuipes,李馨,78179,1958/7/23,四川省,4400,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0251032.jpg,,,,,,,,,, +,Primula tongolensis,"Kingdon Ward, F",5088,25-Apr-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00024311.jpg,,,,,,,,,, +三裂叶报春,Primula triloba,T.T.Yu,22275,19380810,云南省,4200,mt.rocky place,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233851.jpg,,,,,,,,,, +三裂叶报春,Primula triloba,B.W.Wang,68922,19350800,云南省 ,3700,mt slope,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0045299.jpg,,,,,,,,,, +三裂叶报春,Primula triloba,青藏队补点组,751335,19750812,西藏自治区,,湿润草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233850.jpg,,,,,,,,,, +,Primula tsongpenii,"Ludlow, Sherriff & Taylor",5931,25-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00024446.jpg,,,,,,,,,, +,Primula tzetsouensis,"Yü, Tse-tsun",6940,7-Jul-37,,,,,,https://image.cvh.ac.cn/files/l/E/E00024262.jpg,,,,,,,,,, +荨麻叶报春,Primula urticifolia,N.M.Przewalski,s.n.,18800719,甘肃省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00027748.jpg,,,,,,,,,, +荨麻叶报春,Primula urticifolia,郑光荣,?,?,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0212646.jpg,,,,,,,,,, +荨麻叶报春,Primula urticifolia,"朱鑫鑫,安宇梦",ZXX18205,20180626,青海,3866,高原亚寒带高山流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435797.jpg,,,,,,,,,, +高穗花报春,Primula vialii,Joseph F.Rock,24907,19320600,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00049665.jpg,,,,,,,,,, +高穗花报春,Primula vialii,青藏队,14524,19830908,四川省,3200,Picea 林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947690.jpg,,,,,,,,,, +高穗花报春,Primula vialii,秦仁昌,31031,19400915,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947614.jpg,,,,,,,,,, +紫穗报春,Primula violacea,"李渤生,程树志,倪志诚",5613,19830720,西藏自治区,4200,高山流水边时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081201.jpg,,,,,,,,,, +紫穗报春,Primula violacea,T.T.Yu,19072,19380614,云南省,3400~3600,"margin of woods,shady & moist place",,有花无果,https://image.cvh.ac.cn/files/l/PE/01935961.jpg,,,,,,,,,, +紫穗报春,Primula violacea,T.T.Yu,7135,19370709,四川省,3500,side of mt.stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/01935946.jpg,,,,,,,,,, +,Primula watsonii,"Forrest, George",14366,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00024550.jpg,,,,,,,,,, +,Primula watsonii,彭玉兰、涂卫国、幸福,Gaoxf0327,20080718,四川,3800,高山灌丛,直立草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0206814.jpg,,,,,,,,,, +靛蓝穗花报春,Primula watsonii,"姜恕,金存礼等",2271,19590722,四川省,3700,阴坡冷杉林,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061911.jpg,,,,,,,,,, +,Primula woonyoungiana,,,,,,,,,,,,,,,,,,, +展萼雪山报春,Primula youngeriana,"方瑞征,吕正伟",129,19900703,云南省,4000,高山杜鹃灌丛草甸,流水处,,,https://image.cvh.ac.cn/files/l/KUN/1289826.jpg,,,,,,,,,, +,Primula youngeriana,"Ludlow, F & Sherriff, G",6061,,,,,,,https://image.cvh.ac.cn/files/l/E/E00024585.jpg,,,,,,,,,, +云南报春,Primula yunnanensis,"熊济华,周子林",90972,19570524,重庆市,1950,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01061953.jpg,,,,,,,,,, +云南报春,Primula yunnanensis,T.T.Yu,11498,19370601,云南省,2500,rocky hill,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233849.jpg,,,,,,,,,, +云南报春,Primula yunnanensis,黄荣福,3573,19920622,青海省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/169544.jpg,,,,,,,,,, +红色新月蕨,Pronephrium lakhimpurense,"李中阳,卫然,张红瑞",7478,20150825,贵州省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02056061.jpg,,,,,,,,,, +红色新月蕨,Pronephrium lakhimpurense,魏奇,王凡红,公艳芬,FB-350,20130809,云南,1282,,,,https://image.cvh.ac.cn/files/l/KUN/1406030.jpg,,,,,,,,,, +红色新月蕨,Pronephrium lakhimpurense,严岳鸿、金摄郎、王莹,YYH13304,20140425,广西省,798,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0052101.jpg,,,,,,,,,, +墨脱新月蕨,Pronephrium medogensis,,2571,19740915,西藏自治区,650,热带季雨林,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00849032.jpg,,,,,,,,,, +墨脱新月蕨,Pronephrium medogensis,Toshiyuki Nakaike,459,19931003,云南省,1450~1560,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1223194.jpg,,,,,,,,,, +墨脱新月蕨,Pronephrium medogensis,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07270,20160912,西藏,,疏林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137137.jpg,,,,,,,,,, +大羽新月蕨,Pronephrium nudatum,涪陵队,500102-001-0707,20131010,重庆市,328,沟边,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0031196.jpg,,,,,,,,,, +大羽新月蕨,Pronephrium nudatum,成晓,王凡红,FB-065,20130623,云南,524,,,,https://image.cvh.ac.cn/files/l/KUN/1406031.jpg,,,,,,,,,, +大羽新月蕨,Pronephrium nudatum,曹子余,882,19581007,贵州省,800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01938427.jpg,,,,,,,,,, +羽叶新月蕨,Pronephrium parishii,L.Q.Li et al.,379,20041026,,300~400,under forest,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01938386.jpg,,,,,,,,,, +羽叶新月蕨,Pronephrium parishii,商辉、韦宏金、舒江平、黄科瑞,SG2870,20150323,海南省,,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0073883.jpg,,,,,,,,,, +羽叶新月蕨,Pronephrium parishii,田黎雪,66,20210703,福建,305,林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/AU/AU092464.jpg,,,,,,,,,, +披针新月蕨,Pronephrium penangianum,张久磊,522325180919199LY,20180919,贵州,1287,草丛、中生、阳性、中温、野生酸性土植物,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0093995.jpg,,,,,,,,,, +披针新月蕨,Pronephrium penangianum,"张宪春,武翀",5336,20081121,湖北省,700,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01938553.jpg,,,,,,,,,, +披针新月蕨,Pronephrium penangianum,"张宪春,卫然,伍翀",5692,20090715,云南省,1400,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02038938.jpg,,,,,,,,,, +三羽新月蕨,Pronephrium triphyllum,福建山区植物资源综合调查复旦大学,12451,19580828,福建省,800,混交林 灌丛 山地 黄棕壤 湿土,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00849158.jpg,,,,,,,,,, +三羽新月蕨,Pronephrium triphyllum,"吴磊,蒋日红等人",D0986,20100811,广西壮族自治区,350,山坡密林,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02023652.jpg,,,,,,,,,, +三羽新月蕨,Pronephrium triphyllum,税玉民等,80237,20071124,云南省,483,常绿阔叶林,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01938543.jpg,,,,,,,,,, +尖叶樱桃,Prunus caudata,Joseph F.Rock,24926,19320600,云南省 ,4000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00356882.jpg,,,,,,,,,, +尖叶樱桃,Prunus caudata,F.T.Wang,21413,19300619,四川省,3650,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00060268.jpg,,,,,,,,,, +,Prunus caudata,F.Ludlow et al.,20616,19490510,,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01657241.jpg,,,,,,,,,, +,Prunus mugus,G.Forrest,24615,19240000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01657594.jpg,,,,,,,,,, +,Prunus mugus,G.Forrest,29891,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01657592.jpg,,,,,,,,,, +,Prunus mugus,G.Forrest,21804,1922,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/039922.jpg,,,,,,,,,, +,Prunus patentipila,俞绍文,169,19810511,云南省,2650,沟边,,,https://image.cvh.ac.cn/files/l/KUN/1270902.jpg,,,,,,,,,, +,Prunus patentipila,"Forrest, George",19431,21-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00011269.jpg,,,,,,,,,, +野樱桃,Prunus pleiocerasus,屠玉麟,79-065,19790225,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0002755.jpg,,,,,,,,,, +,Prunus pleiocerasus,万涛等,WL0027,20140711,四川省,2560,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01918966.jpg,,,,,,,,,, +,Prunus pleiocerasus,T.T.Yu,s.n.,19480000,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01657700.jpg,,,,,,,,,, +川西樱,Prunus trichostoma,张志英,1972,19590511,甘肃省,2450,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00060535.jpg,,,,,,,,,, +,Prunus trichostoma,PE西藏考察队,7095,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332411.jpg,,,,,,,,,, +,Prunus trichostoma,"徐波, 陈光富, 陈林杨, 董金龙",SunH-07ZX-1460,20080731,西藏,,森林,冰川乱石滩,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1312698.jpg,,,,,,,,,, +马尿泡,Przewalskia tangutica,刘全儒,ALT.193,20140728,新疆省,4179,力克达尔山 荒漠,,,https://image.cvh.ac.cn/files/l/BNU/0027693.jpg,,,,,,,,,, +马尿泡,Przewalskia tangutica,"郑度,郭柯",12613,19880819,新疆维吾尔自治区,4400,河滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468574.jpg,,,,,,,,,, +马尿泡,Przewalskia tangutica,郭柯,K-003,19900526,青海省,,冲积扇水沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099578.jpg,,,,,,,,,, +长根假毛蕨,Pseudocyclosorus canus,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4389,20160911,西藏,1095,草丛中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136563.jpg,,,,,,,,,, +长根假毛蕨,Pseudocyclosorus canus,X.C.Zhang,5055,20071008,西藏自治区,2000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02049632.jpg,,,,,,,,,, +长根假毛蕨,Pseudocyclosorus canus,"X.H.Jin,Y.S.Chen,",1003,20090702,云南省,2200,evergreen broad,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01866566.jpg,,,,,,,,,, +,Pseudocyclosorus esquirolii,陈少卿,14130,19580530,广西,450~600,山地,路旁,山石,密林,肥土,少见,散生,草本直立,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00603687.jpg,,,,,,,,,, +西南假毛蕨,Pseudocyclosorus esquirolii,R.Cranfill,RBC TW29,,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02030651.jpg,,,,,,,,,, +西南假毛蕨,Pseudocyclosorus esquirolii,,230,19620831,广西壮族自治区,900,竹林、山沟、成片生长,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02019536.jpg,,,,,,,,,, +镰片假毛蕨,Pseudocyclosorus falcilobus,张清其,613,,福建省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00849429.jpg,,,,,,,,,, +镰片假毛蕨,Pseudocyclosorus falcilobus,G.M.Zhang et Dong Li,30,20001117,海南省,640,In ravine,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01454979.jpg,,,,,,,,,, +镰片假毛蕨,Pseudocyclosorus falcilobus,邢公侠等,6746,19891222,云南省,800,河谷水沟边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00849457.jpg,,,,,,,,,, +,Pseudocyclosorus ornatipes,Masayuki Watanabe et al.,1986,20121015,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02102178.jpg,,,,,,,,,, +,Pseudocyclosorus tibeticus,,,,,,,,,,,,,,,,,,, +急梳假毛蕨,Pseudocyclosorus torrentis,傅国勋,192,19600604,西藏自治区,4300,温泉水边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00849608.jpg,,,,,,,,,, +急梳假毛蕨,Pseudocyclosorus torrentis,秦仁昌,50210,19520000,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00059377.jpg,,,,,,,,,, +假毛蕨,Pseudocyclosorus tylodes,X.C.Zhang & Y.C.Liu,6079,20090813,四川省,600,林下土生,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01866567.jpg,,,,,,,,,, +假毛蕨,Pseudocyclosorus tylodes,,s.n.,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01687313.jpg,,,,,,,,,, +假毛蕨,Pseudocyclosorus tylodes,商辉、顾钰峰,SG093,20140408,福建省,750,阔叶林下,,无孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0034558.jpg,,,,,,,,,, +察隅假毛蕨,Pseudocyclosorus zayuensis,Wang Li,4921,20071005,西藏自治区,1650,,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01792422.jpg,,,,,,,,,, +察隅假毛蕨,Pseudocyclosorus zayuensis,昆明工作站,8699,19600513,云南省,2200,常绿阔叶林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00849700.jpg,,,,,,,,,, +察隅假毛蕨,Pseudocyclosorus zayuensis,Qinghai-Xizang Comp. Exped. (青藏队), 73-837 ,19730721,西藏,2100,山坡常绿林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1216856.jpg,,,,,,,,,, +耳状紫柄蕨,Pseudophegopteris aurita,D.E.Boufford et al,32822,20050712,四川,2300~2400,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01822967.jpg,,,,,,,,,, +耳状紫柄蕨,Pseudophegopteris aurita,D.E.Boufford et al,32822,20050712,四川省,2300~2400,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01822967.jpg,,,,,,,,,, +耳状紫柄蕨,Pseudophegopteris aurita,税玉民,1978,19930411,云南省,2150,土山地山坡密林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01938487.jpg,,,,,,,,,, +短柄紫柄蕨,Pseudophegopteris brevipes,孔宪需,5546C2,19780727,四川省,2500,山沟灌木林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00789431.jpg,,,,,,,,,, +短柄紫柄蕨,Pseudophegopteris brevipes,,s.n.,,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00789429.jpg,,,,,,,,,, +短柄紫柄蕨,Pseudophegopteris brevipes,X.C.Zhang & L.Wang,5084,20071010,西藏自治区,2320,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02065172.jpg,,,,,,,,,, +密毛紫柄蕨,Pseudophegopteris hirtirachis,张宪春 卫然 伍翀,5697,20090715,四川省,1400,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02109465.jpg,,,,,,,,,, +密毛紫柄蕨,Pseudophegopteris hirtirachis,商辉、罗俊杰,SG1859,20170616,云南,1466,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0141991.jpg,,,,,,,,,, +密毛紫柄蕨,Pseudophegopteris hirtirachis,"Yih-Han Chang,张和明,林玲远等",1192,19941018,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02230115.jpg,,,,,,,,,, +,Pseudophegopteris levingei,王启无 C.W.Wang,66324,19350900,云南,,"Mountain slope,under forest",,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00603688.jpg,,,,,,,,,, +星毛紫柄蕨,Pseudophegopteris levingei,王中仁等,C359,19840611,云南省,2200,一巨石脚下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01938471.jpg,,,,,,,,,, +星毛紫柄蕨,Pseudophegopteris levingei,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07434,20160916,西藏,3051,针叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135990.jpg,,,,,,,,,, +禾秆紫柄蕨,Pseudophegopteris microstegia,"朱大海,曹子余,苏小镔",1025,20020918,四川省,2200,山脊林下竹丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01938430.jpg,,,,,,,,,, +禾秆紫柄蕨,Pseudophegopteris microstegia,严岳鸿、齐新萍,YYH13156,20130907,西藏,3000,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0042469.jpg,,,,,,,,,, +禾杆紫柄蕨,Pseudophegopteris microstegia,刘正宇,2033588,20030727,贵州省,1500,阴湿林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0012056.jpg,,,,,,,,,, +紫柄蕨,Pseudophegopteris pyrrhorhachis,金摄郎、周喜乐,JSL4717,20161121,贵州,1060,山腰溪沟边砾石中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137325.jpg,,,,,,,,,, +紫柄蕨,Pseudophegopteris pyrrhorhachis,周喜乐、金冬梅、赵国华,ZXL10066,20140731,广东省,1338,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0045615.jpg,,,,,,,,,, +紫柄蕨,Pseudophegopteris pyrrhorhachis,金摄郎、张九兵,WYG461,20141026,贵州省,,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0043147.jpg,,,,,,,,,, +光叶紫柄蕨,Pseudophegopteris pyrrhorhachis var. glabrata,张炳坤,张守君,吴雷,10-0349,20100609,四川,,,,无孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0175464.jpg,,,,,,,,,, +对生紫柄蕨,Pseudophegopteris rectangularis,J.S.Gamble,7807,18800300,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01687328.jpg,,,,,,,,,, +,Pseudophegopteris rectangularis,鞠文彬,邓亨宁 ,HGX12780,20130828,四川省,,公路边,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0238887.jpg,,,,,,,,,, +对生紫柄蕨,Pseudophegopteris rectangularis,"徐兴翔,秦林川",254,20071218,广西壮族自治区,700,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01774313.jpg,,,,,,,,,, +西藏紫柄蕨,Pseudophegopteris tibetana,考察队,363,20120803,西藏自治区,1846,,,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00039200.jpg,,,,,,,,,, +西藏紫柄蕨,Pseudophegopteris tibetana,韦宏金,JSL7054,20190413,西藏,~2026,土生,草本,无孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431588.jpg,,,,,,,,,, +,Pseudophegopteris yigongensis,,,,,,,,,,,,,,,,,,, +察隅紫柄蕨,Pseudophegopteris zayuensis,X.C.Zhang,5058,20071008,西藏自治区,2500,,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01792138.jpg,,,,,,,,,, +察隅紫柄蕨,Pseudophegopteris zayuensis,Qinghai-Xizang Comp. Exped. (青藏队), 73-961,19730802,西藏,2100,山坡阔叶林中,草本,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/1216855.jpg,,,,,,,,,, +,Pseudostellaria tibetica,,,,,,,,,,,,,,,,,,, +澜沧黄杉,Pseudotsuga forrestii,"李渤生,程树志,倪志诚",6823,19830826,西藏自治区,2200~2600,河谷灌沟中局疗成林,,无花无果,https://image.cvh.ac.cn/files/l/PE/02073236.jpg,,,,,,,,,, +澜沧黄杉,Pseudotsuga forrestii,南水北调队,8907,19600605,云南省 ,3100,山坡,阳处,黄杉林中,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0142595.jpg,,,,,,,,,, +澜沧黄杉,Pseudotsuga forrestii,北京所横断山队,3413,19810822,云南省,2400~3400,高山栎 云杉 林下常见种,,无花无果,https://image.cvh.ac.cn/files/l/PE/01539556.jpg,,,,,,,,,, +松叶蕨,Psilotum nudum,张永田,s.n.,19801126,北京市,,栽培,,无孢子囊,https://image.cvh.ac.cn/files/l/FJSI/018063.jpg,,,,,,,,,, +松叶蕨,Psilotum nudum,,,,四川,,,,无花有果,https://image.cvh.ac.cn/files/l/PEM/PEM0000392.jpg,,,,,,,,,, +松叶蕨,Psilotum nudum,C.W.Wang,66907,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00143328.jpg,,,,,,,,,, +蕨,Pteridium aquilinum var. latiusculum,"朱鑫鑫, 王金丹, 林庶, 刘晴, 梁俊生",ZXX18383,20180922,河南,743,亚热带常绿阔叶林路边,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1450297.jpg,,,,,,,,,, +,Pteridium aquilinum var. latiusculum,T.Tang,2267,19290000,山西省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00485655.jpg,,,,,,,,,, +,Pteridium aquilinum var. latiusculum,兰艳黎,7077,20070806,福建省,456,山坡,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01766158.jpg,,,,,,,,,, +密毛蕨,Pteridium revolutum,裘佩喜,3870,,浙江省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00506105.jpg,,,,,,,,,, +密毛蕨,Pteridium revolutum,北京队,897121,19890911,广西壮族自治区,700,石灰山,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/02018977.jpg,,,,,,,,,, +毛轴蕨,Pteridium revolutum,江明喜,黄汉东,万丹,周阳,陈树宏,田弟荣,2745,20181014,湖北,1650,山梁林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0194280.jpg,,,,,,,,,, +猪鬣凤尾蕨,Pteris actiniopteroides,贺贤育,27455,1957/8/9,浙江省,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0177896.jpg,,,,,,,,,, +猪鬣凤尾蕨,Pteris actiniopteroides,广西队,4089,19531000,广西壮族自治区,,,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/02019098.jpg,,,,,,,,,, +猪鬣凤尾蕨,Pteris actiniopteroides,周鹤昌,8026,19380806,四川省,,石岩,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00506297.jpg,,,,,,,,,, +红秆凤尾蕨,Pteris amoena,金摄郎、张九兵,JSL2835,20150526,云南,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0157354.jpg,,,,,,,,,, +红秆凤尾蕨,Pteris amoena,"张宪春,Aleksandr Shalimov",9234,20171031,云南省,2188,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234508.jpg,,,,,,,,,, +红秆凤尾蕨,Pteris amoena,陈伟烈,14208,19800812,西藏自治区,1600,林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01384858.jpg,,,,,,,,,, +线羽凤尾蕨,Pteris arisanensis,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4443,20160913,西藏,719,沟谷边疏林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136650.jpg,,,,,,,,,, +线羽凤尾蕨,Pteris arisanensis,金摄郎、张九兵,JSL-TJ 081,20140702,广东,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0139168.jpg,,,,,,,,,, +线羽凤尾蕨,Pteris arisanensis,田林普查队,4.51E+14,20130314,广西壮族自治区,1099,阔叶林,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMI/GXMI063777.jpg,,,,,,,,,, +紫轴凤尾蕨,Pteris aspericaulis,北京队,897099,19890910,广西壮族自治区,500,沟谷、崖壁,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02018989.jpg,,,,,,,,,, +,Pteris aspericaulis,程景福,40213,19641117,江西省,310,山谷常绿阔叶林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00506427.jpg,,,,,,,,,, +紫轴凤尾蕨,Pteris aspericaulis,"Jin Xh,Wang LS,Wang Q et al.",ST0323,20130717,云南省,,mountain slope shade,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02004124.jpg,,,,,,,,,, +高原凤尾蕨,Pteris aspericaulis var. cuspigera,Feng,7328,19400904,云南省,2000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00049552.jpg,,,,,,,,,, +高原凤尾蕨,Pteris aspericaulis var. cuspigera,严岳鸿、齐新萍,YYH13044,20130907,西藏,3300,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0086730.jpg,,,,,,,,,, +高原凤尾蕨,Pteris aspericaulis var. cuspigera,商辉、罗俊杰,SG1824,20170616,云南,2397,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0142028.jpg,,,,,,,,,, +,Pteris aspericaulis var. subindivisa,South Tibet Expedition Team(STET),STET2349,20100807,西藏自治区,840,e,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01964868.jpg,,,,,,,,,, +高山凤尾蕨,Pteris aspericaulis var. subindivisa,朱维明、刘正宇等,14886-2,19821108,云南省,2300,常绿阔叶林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0002119.jpg,,,,,,,,,, +狭眼凤尾蕨,Pteris biaurita,金摄郎,JSL-GX 101,20120402,广西省,623.5,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0038785.jpg,,,,,,,,,, +狭眼凤尾蕨,Pteris biaurita,C.W.Wang,78830,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00146491.jpg,,,,,,,,,, +狭眼凤尾蕨,Pteris biaurita,曾宪锋,ZXF39051,20180919,广东,460,山谷灌丛阳处,多年生草本,有孢子囊群,https://image.cvh.ac.cn/files/l/CZH/CZH0034329.jpg,,,,,,,,,, +,Pteris biaurita subsp. fornicata,,,,,,,,,,,,,,,,,,, +,Pteris bomiensis,"应俊生,洪德元",650801,19650723,西藏自治区,2080,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00506499.jpg,,,,,,,,,, +波密凤尾蕨,Pteris bomiensis,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4479,20160914,西藏,1640,密林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136615.jpg,,,,,,,,,, +,Pteris cretica,赣南采集队,9,20070414,江西省,220,路边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01962477.jpg,,,,,,,,,, +,Pteris cretica,华南队,1854,19890926,广西壮族自治区,1300,山地、山谷,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02019011.jpg,,,,,,,,,, +凤尾蕨,Pteris cretica,曾宪锋,ZXF43604,20181212,福建,615,山地林缘,多年生草本,无孢子囊群,https://image.cvh.ac.cn/files/l/CZH/CZH0038865.jpg,,,,,,,,,, +,Pteris cretica var. laeta,,742,19410617,重庆市,580,石灰岩土 洞内,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01583329.jpg,,,,,,,,,, +,Pteris cretica var. laeta,陈少卿,1409,19420620,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00032787.jpg,,,,,,,,,, +,Pteris cretica var. laeta,生态室高原组,14138,19800810,西藏自治区,2000,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01384867.jpg,,,,,,,,,, +,Pteris dactylina,鞠文彬,郑臣臣,THP-KD-6699,20170818,四川,3629,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252723.jpg,,,,,,,,,, +指叶凤尾蕨,Pteris dactylina,严岳鸿,周劲松,3384,20060410,江西省,800,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00002988.jpg,,,,,,,,,, +指叶凤尾蕨,Pteris dactylina,X.C.Zhang & L.Wang,4669,20070920,西藏自治区,2800,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02065612.jpg,,,,,,,,,, +剑叶凤尾蕨,Pteris ensiformis,成晓,王凡红,FB-067,20130623,云南,,,,,https://image.cvh.ac.cn/files/l/KUN/1405899.jpg,,,,,,,,,, +剑叶凤尾蕨,Pteris ensiformis,高信芬,邓亨宁,李诗琦,TXD-C-0123,20181110,四川,253.11,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0248218.jpg,,,,,,,,,, +剑叶凤尾蕨,Pteris ensiformis,"严岳鸿,秦新生",4624,20071023,海南省,200,桉树林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01772995.jpg,,,,,,,,,, +阔叶凤尾蕨,Pteris esquirolii,赵万义、刘忠诚、张记军、叶矾,LXP-13-20386,20160912,江西,,山坡、壤土、疏林, 陆生、草本、直立 ,有孢子囊,https://image.cvh.ac.cn/files/l/SYS/SYS00209581.jpg,,,,,,,,,, +阔叶凤尾蕨,Pteris esquirolii,,55801,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00507170.jpg,,,,,,,,,, +阔叶凤尾蕨,Pteris esquirolii,刘正宇、张军等,S-1320,20170420,重庆,916,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0050282.jpg,,,,,,,,,, +傅氏凤尾蕨,Pteris fauriei,陇西山考察队,217,19910520,福建省,450,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01555117.jpg,,,,,,,,,, +傅氏凤尾蕨,Pteris fauriei,"李中阳,卫然,张红瑞",7426,20150822,贵州省,818,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02051469.jpg,,,,,,,,,, +傅氏凤尾蕨,Pteris fauriei,詹选怀、彭焱松等,LXP0316,20130925,江西,582,山坡,草本,无花无果,https://image.cvh.ac.cn/files/l/LBG/LBG00125240.jpg,,,,,,,,,, +鸡爪凤尾蕨,Pteris gallinopes,"关克俭,王文采等",3437,19630913,四川省,850,岩石缝,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01385001.jpg,,,,,,,,,, +,Pteris gallinopes,Cavalerie,2895,,,,,,,https://image.cvh.ac.cn/files/l/P/P00609193.jpg,,,,,,,,,, +鸡爪凤尾蕨,Pteris gallinopes,金摄郎、商辉,JSL-177,20120913,湖南,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0039310.jpg,,,,,,,,,, +细弱凤尾蕨,Pteris gracillima,青藏队,74-4553,19740826,西藏自治区,800,山坡阔叶林下石头上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00049486.jpg,,,,,,,,,, +细弱凤尾蕨,Pteris gracillima,高信芬、朱章明、鞠文彬、金伟涛,13969,20110719,西藏,3090,林下,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0223018.jpg,,,,,,,,,, +林下凤尾蕨,Pteris grevilleana,罗城县普查队,451225130312020LY,20130312,广西,274,阔叶林,林下,石灰土,草本,有孢子囊,https://image.cvh.ac.cn/files/l/GXMG/GXMG0113988.jpg,,,,,,,,,, +林下凤尾蕨,Pteris grevilleana,成晓,王凡红,FB-176,20130627,云南,345,,,,https://image.cvh.ac.cn/files/l/KUN/1405905.jpg,,,,,,,,,, +林下凤尾蕨,Pteris grevilleana,叶国栋,1533,19800729,福建省,280,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00507484.jpg,,,,,,,,,, +狭叶凤尾蕨,Pteris henryi,巴山采集队,5967,20120703,四川省,450~831,林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02059861.jpg,,,,,,,,,, +狭叶凤尾蕨,Pteris henryi,"张宪春,魏雪苹",6197,20100827,湖南省,200~600,路边林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01870251.jpg,,,,,,,,,, +狭叶凤尾蕨,Pteris henryi,"李渤生,程树志等",2040,19821208,西藏自治区,2200~2600,常绿阔叶林下时见,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01384896.jpg,,,,,,,,,, +华中凤尾蕨,Pteris kiuschiuensis var. centrochinensis,葛斌杰、陈彬、沈彬、顾钰峰,GBJ03365,20040620,福建省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0039842.jpg,,,,,,,,,, +华中凤尾蕨,Pteris kiuschiuensis var. centrochinensis,韦宏金、陈彬,JSL7754,20201102,福建,~705,沟谷边疏林下;常见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431326.jpg,,,,,,,,,, +华中凤尾蕨,Pteris kiuschiuensis var. centrochinensis,刘正宇,2031280,20030516,贵州省,1200,溪边林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IMC/IMC0001985.jpg,,,,,,,,,, +线羽凤尾蕨,Pteris linearis,华南队,687,19890512,广西壮族自治区,700,山地、山谷,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/02019057.jpg,,,,,,,,,, +线羽凤尾蕨,Pteris linearis,刘炳荣等,7361,20070724,湖南省,600,林下阴湿处,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01763031.jpg,,,,,,,,,, +线羽凤尾蕨,Pteris linearis,青藏队,11405,19830623,四川省,2100,山沟常绿阔叶林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01385185.jpg,,,,,,,,,, +三轴凤尾蕨,Pteris longipes,吕碧凤,11382,20060218,台湾省,500~950,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01963875.jpg,,,,,,,,,, +三轴凤尾蕨,Pteris longipes,武素功,向建英,70085,20070811,云南省 ,1400~1500,in the valley of the broad-leaf forest,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1225940.jpg,,,,,,,,,, +三轴凤尾蕨,Pteris longipes,,s.n.,,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00507956.jpg,,,,,,,,,, +墨脱凤尾蕨,Pteris medogensis,,238,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01617338.jpg,,,,,,,,,, +墨脱凤尾蕨,Pteris medogensis,青藏队,74-4141,19740806,西藏自治区,1600,山坡阔叶林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00049487.jpg,,,,,,,,,, +井栏凤尾蕨,Pteris multifida,荔浦县普查队,450331170725002LY,20170725,广西,203,阔叶林,林下,黄棕壤,多野生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00415254.jpg,,,,,,,,,, +井栏边草,Pteris multifida,詹选怀、彭焱松等,LXP4204,20150522,湖南,642,山坡、路旁、村边,草本,无花无果,https://image.cvh.ac.cn/files/l/LBG/LBG00132508.jpg,,,,,,,,,, +井栏凤尾蕨,Pteris multifida,"郭永杰, 黄莉, 左政裕",17CS14592,20170912,浙江,31,常绿落叶混交林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1449282.jpg,,,,,,,,,, +栗柄凤尾蕨,Pteris plumbea,陇西山考察队,1503,19910621,福建省,370,石灰岩缝隙,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01554794.jpg,,,,,,,,,, +栗柄凤尾蕨,Pteris plumbea,侯元同,侯元免,李爱民,孙卫卫,20170616080-1,20170616,湖北,510.1,岩石缝,草本,有孢子囊,https://image.cvh.ac.cn/files/l/QFNU/QFNU0046038.jpg,,,,,,,,,, +栗柄凤尾蕨,Pteris plumbea,严岳鸿,1654,20030800,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01772926.jpg,,,,,,,,,, +假指状凤尾蕨,Pteris pseudodactylina,Qinghai-Xizang. Exped. (青藏队), 73-984,19730807,西藏,2500,山坡、阔叶林下、岩石隙,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1216971.jpg,,,,,,,,,, +,Pteris pseudopellucida,,621,,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00542722.jpg,,,,,,,,,, +单叶凤尾蕨,Pteris pseudopellucida,吴磊,3660,20130511,广西省,,山坡密林,,,https://image.cvh.ac.cn/files/l/BNU/0029269.jpg,,,,,,,,,, +单叶凤尾蕨,Pteris pseudopellucida,杨平、农时越、农素芸等,BL471,20200414,广西,~726,石灰岩石山;罕见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00428074.jpg,,,,,,,,,, +柔毛凤尾蕨,Pteris puberula,FLPH Tibet Expedition,12-0914,20120904,西藏自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02004286.jpg,,,,,,,,,, +柔毛凤尾蕨,Pteris puberula,"朱鑫鑫, 王君, 林庶",ZXX191718,20191207,云南,2301,亚热带常绿阔叶林,林中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1483513.jpg,,,,,,,,,, +柔毛凤尾蕨,Pteris puberula,,4589,19651111,云南省,2500,常绿阔叶林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00542730.jpg,,,,,,,,,, +红毛凤尾蕨,Pteris rufopilosa,生态室高原组,11030,,西藏自治区,920,林边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01895992.jpg,,,,,,,,,, +糙坚凤尾蕨,Pteris scabririgens,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07367,20160914,西藏,1615,密林下,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135984.jpg,,,,,,,,,, +半边旗,Pteris semipinnata,金摄郎、魏宏宇、张娇,JSL6032,20170906,浙江,286,岩缝中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0153018.jpg,,,,,,,,,, +半边旗,Pteris semipinnata,"Tsang,Tang,Fung",232,19320510,海南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00147288.jpg,,,,,,,,,, +半边旗,Pteris semipinnata,李学根,201916,19580626,广东,,山地路旁 密林,普通,散生,,有孢子囊,https://image.cvh.ac.cn/files/l/CSFI/CSFI068093.jpg,,,,,,,,,, +有刺凤尾蕨,Pteris setulosocostulata,严岳鸿、金摄郎、王莹、朱晓凤,WYD546,20140814,广东省,,,,有孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0082328.jpg,,,,,,,,,, +有刺凤尾蕨,Pteris setulosocostulata,韦宏金、陈彬,JSL7721,20201028,福建,~870,沟谷边砾石缝中;少见,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00431327.jpg,,,,,,,,,, +有刺凤尾蕨,Pteris setulosocostulata,刘炳荣,吴磊,7465,20070722,湖南省,1300,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00003635.jpg,,,,,,,,,, +溪边凤尾蕨,Pteris terminalis,张代贵,YD220019,20160708,湖南省湘西州,,林中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU40323.jpg,,,,,,,,,, +溪边凤尾蕨,Pteris terminalis,张守君,09-4013,20090801,湖北,591.3,草丛,草本,无孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0175249.jpg,,,,,,,,,, +溪边凤尾蕨,Pteris terminalis,张代贵,zdg4072,20120221,湖北省,,山坡密林下潮湿处,多年生草本,无孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU32997.jpg,,,,,,,,,, +蜈蚣草,Pteris vittata,李洪钧,5493,1958/07/,湖北,1100,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0202443.jpg,,,,,,,,,, +蜈蚣草,Pteris vittata,三峡考察队,2160,20080721,重庆市,504~521,沟边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02003962.jpg,,,,,,,,,, +蜈蚣草,Pteris vittata,"周喜乐,陈红峰",642,20070926,广东省,500,石缝,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01784890.jpg,,,,,,,,,, +西南凤尾蕨,Pteris wallichiana,金摄郎、周喜乐,JSL4685,20161120,贵州,1243,坡面松林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137388.jpg,,,,,,,,,, +西南凤尾蕨,Pteris wallichiana,李策宏,9007,20090802,四川,1680,林下,草丛,,有孢子囊,https://image.cvh.ac.cn/files/l/AU/AU067882.jpg,,,,,,,,,, +西南凤尾蕨,Pteris wallichiana,刘炳荣,50054,20050504,湖南省,1400,林缘,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01785620.jpg,,,,,,,,,, +心果囊瓣芹,Pternopetalum cardiocarpum,何叶祺等,28,1976/8/18,云南,3600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0346622.jpg,,,,,,,,,, +心果囊瓣芹,Pternopetalum cardiocarpum,,23053,19570718,四川省,3000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00782474.jpg,,,,,,,,,, +心果囊瓣芹,Pternopetalum cardiocarpum,王启无,65129,19350800,云南省 ,3000,Stream side,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0464881.jpg,,,,,,,,,, +澜沧囊瓣芹,Pternopetalum delavayi,尹志坚等,1662,20090723,云南省,3100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01925445.jpg,,,,,,,,,, +澜沧囊瓣芹,Pternopetalum delavayi,D.E.Boufford et al.,35875,20060806,四川省,3480~3640,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923360.jpg,,,,,,,,,, +澜沧囊瓣芹,Pternopetalum delavayi,西藏中草药普查队,3522,19720622,西藏自治区,3800,林下 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491076.jpg,,,,,,,,,, +鹧鸪山囊瓣芹,Pternopetalum trifoliatum,付坤俊,4759,19520625,陕西省,1900,坡基杂草中,直立小草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465074.jpg,,,,,,,,,, +鹧鸪山囊瓣芹,Pternopetalum trifoliatum,吴征镒等,4298,19760808,云南省,3300,林缘,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0465077.jpg,,,,,,,,,, +鹧鸪山囊瓣芹,Pternopetalum trifoliatum,青藏补点组,750951,19750728,西藏自治区,3400,林下荫处苔藓,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0465070.jpg,,,,,,,,,, +,Pterocephalus bretschneideri,,,,,,,,,,,,,,,,,,, +,Pteroceras teres,,,,,,,,,,,,,,,,,,, +,Pterygiella suffruticosa,,,,,,,,,,,,,,,,,,, +短花细柄茅,Ptilagrostis luquensis,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201683,20200811,西藏,4184,湿地中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1509278.jpg,,,,,,,,,, +阿尔金山碱茅,Puccinellia arjinshanensis,"武素功,吴玉虎,费勇",3867,19880725,新疆维吾尔自治区,3230,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/134935.jpg,,,,,,,,,, +德格碱茅,Puccinellia degeensis,,7076,19740622,四川省,3600,向阳湿润河边草地,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00038196.jpg,,,,,,,,,, +德格碱茅,Puccinellia degeensis,陈桂琛 等,2003,19980731,青海省,1950,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/185362.jpg,,,,,,,,,, +,Puccinellia ladyginii,郎楷永,9957,19760808,西藏自治区,5100,河滩沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615368.jpg,,,,,,,,,, +,Puccinellia ladyginii,Ladygin,268,19010718,青海省,4200,布尔汉布达山,,有花有果,https://image.cvh.ac.cn/files/l/PE/00037279.jpg,,,,,,,,,, +光稃碱茅,Puccinellia leiolepis,植被地理组,116,19830810,青海省,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/105867.jpg,,,,,,,,,, +光稃碱茅,Puccinellia leiolepis,秦志业,10195,19630818,西藏自治区,4500,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/15216.jpg,,,,,,,,,, +多花碱茅,Puccinellia multiflora,青藏队,74-8749,19760904,西藏自治区,4250,班公湖老鼠岛河边沙地,草本,无花无果,https://image.cvh.ac.cn/files/l/PE/01432265.jpg,,,,,,,,,, +多花碱茅,Puccinellia multiflora,"武素功,大场秀章,吴玉虎,费勇",4206,19880820,新疆维吾尔自治区,4140,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/149350.jpg,,,,,,,,,, +,Puccinellia roborovskyi,箫余,3247,19540800,青海省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437334.jpg,,,,,,,,,, +,Puccinellia roborovskyi,张以礼等,300,19980800,新疆维吾尔自治区,2200~3900,高原山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437333.jpg,,,,,,,,,, +,Puccinellia roborovskyi,郎楷永,9774,19760722,西藏自治区,4850,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437332.jpg,,,,,,,,,, +,Puccinellia shuanghuensis,郎楷永,9911,19760802,西藏自治区,5050,山坡草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615403.jpg,,,,,,,,,, +双湖碱茅,Puccinellia shuanghuensis,植被地理组,542,19740729,青海省,4370,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/108979.jpg,,,,,,,,,, +金仙草,Pulicaria chrysantha,田林普查队,4.51E+14,20121203,广西壮族自治区,412,,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI056267.jpg,,,,,,,,,, +金仙草,Pulicaria chrysantha,,3320,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797287.jpg,,,,,,,,,, +金仙草,Pulicaria chrysantha,黄茂先,111854,1964-8 5,湖南省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0150799.jpg,,,,,,,,,, +臭蚤草,Pulicaria insignis,康藏植物考察队,10-1047,20100801,青海省,3665,江边岩石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052845.jpg,,,,,,,,,, +臭蚤草,Pulicaria insignis,陈又生,9751,20090910,西藏自治区,4450~4508,干山坡,,,https://image.cvh.ac.cn/files/l/PE/02053724.jpg,,,,,,,,,, +臭蚤草,Pulicaria insignis,杨昌友,761047,19760821,新疆维吾尔自治区,420,湖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01777923.jpg,,,,,,,,,, +西南白头翁,Pulsatilla millefolium,T.N.Liou,3939,19300418,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00090925.jpg,,,,,,,,,, +西南白头翁,Pulsatilla millefolium,陈伟烈等,6615,19840620,四川省,2750,河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01377630.jpg,,,,,,,,,, +西南白头翁,Pulsatilla millefolium,蔡杰,刘洋,李秋野等,10CS1952,20100725,云南,2197,草坡,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232699.jpg,,,,,,,,,, +黑鳞扁莎,Pycreus delavayi,陈谋,2553,1934,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0372612.jpg,,,,,,,,,, +,Pycreus delavayi,"Delavay, J.M.",413,1882-7-4,,,,,,https://image.cvh.ac.cn/files/l/P/P00526069.jpg,,,,,,,,,, +黑鳞扁莎,Pycreus delavayi,朱鑫鑫;王君;王美华,ZXX201871,20200818,西藏,3611,湿地边,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1552399.jpg,,,,,,,,,, +宽穗扁莎,Pycreus diaphanus,陈少卿,10973,19561115,海南省,0~160,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0647943.jpg,,,,,,,,,, +宽穗扁莎,Pycreus diaphanus,朱有昌,669,19620825,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/IFP/16311999x0002.jpg,,,,,,,,,, +球穗扁莎,Pycreus flavidus,P.H.Dorsett & W.J.Morse,1359,29-Sep,Hokkaido: Nagoyama,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00017192.jpg,,,,,,,,,, +球穗扁莎,Pycreus flavidus,"Zhu, Chen, Xu,Wang",1903,19990916,陕西省,1400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780406.jpg,,,,,,,,,, +球穗扁莎,Pycreus flavidus,Tsang Wai Tak,829,1927/9/9,海南; HAINAN,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00017103.jpg,,,,,,,,,, +,Pycreus lijiangensis,,,,,,,,,,,,,,,,,,, +红鳞扁莎,Pycreus sanguinolentus,"老铁山采集队 孙英宝 王小平,刘冰,林希震,张学伟,张敬莉",643,20081001,辽宁省,90,林缘湿润处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089801.jpg,,,,,,,,,, +红鳞扁莎,Pycreus sanguinolentus,华东工作站同人,7072,19531007,安徽省,0~350,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0648344.jpg,,,,,,,,,, +红鳞扁莎,Pycreus sanguinolentus,张代贵、陈功锡、孙林、肖佳伟,LXP-06-8849,20151008,江西宜春,303,山谷,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU56413.jpg,,,,,,,,,, +槽果扁莎,Pycreus sulcinux,H.F.Sun,80,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780243.jpg,,,,,,,,,, +槽果扁莎,Pycreus sulcinux,马赛,20249,19590826,山西省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0221325.jpg,,,,,,,,,, +槽果扁莎,Pycreus sulcinux,M.Ramos,,13-Sep,"Luzon, province of B",,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00017193.jpg,,,,,,,,,, +光滑匹菊,Pyrethrum arrasanicum,陈又生,13-2296,20130906,新疆维吾尔自治区,3762,砾石草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919854.jpg,,,,,,,,,, +光滑匹菊,Pyrethrum arrasanicum,,770113,19770626,,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01775448.jpg,,,,,,,,,, +川西小黄菊,Pyrethrum tatsienense,George Forrest,28378,19300800,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00998149.jpg,,,,,,,,,, +川西小黄菊,Pyrethrum tatsienense,何叶祺,唐昌林,8077,1974/8/19,四川,3600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0300966.jpg,,,,,,,,,, +川西小黄菊,Pyrethrum tatsienense,陈晓澄等,5845,20140805,西藏,4295,灌林山顶,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023262.jpg,,,,,,,,,, +,Pyrola markonica,,,,,,,,,,,,,,,,,,, +,Pyrola monophylla,,,,,,,,,,,,,,,,,,, +,Pyrola sororia,,,,,,,,,,,,,,,,,,, +贴生石韦,Pyrrosia adnascens,236-6队,1174,19740904,福建省,,附生树干上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01704267.jpg,,,,,,,,,, +贴生石韦,Pyrrosia adnascens,梁向日,66099,,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00038274.jpg,,,,,,,,,, +贴生石韦,Pyrrosia adnascens,广西队,445,19550620,,,山地 树中树干上,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01792937.jpg,,,,,,,,,, +,Pyrrosia boothii,"张宪春,郭志友,向巧萍等",7105,20150423,贵州省,600,石灰岩石缝中,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02056221.jpg,,,,,,,,,, +,Pyrrosia boothii,中植联广西队,525,20080515,广西壮族自治区,400,山顶,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02004044.jpg,,,,,,,,,, +光石韦,Pyrrosia calvata,何海文,杨锦超,YangXF0352,20130713,广西,820,北热带半常绿季雨林、湿润雨林地带林下树干上,或稍干的岩石上,草本,,https://image.cvh.ac.cn/files/l/KUN/1406390.jpg,,,,,,,,,, +光石韦,Pyrrosia calvata,卫然,WR0369,20161026,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02088361.jpg,,,,,,,,,, +光石韦,Pyrrosia calvata,Mr.W.Hancock,53,18941021,云南省 ,,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1220867.jpg,,,,,,,,,, +下延石韦,Pyrrosia costata,"李渤生,程树志",3976,19830408,西藏自治区,850,半常绿雨林下石上时见,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01938706.jpg,,,,,,,,,, +下延石韦,Pyrrosia costata,张宪春,6380,20100922,云南省,2354,石壁树干,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01938231.jpg,,,,,,,,,, +下延石韦,Pyrrosia costata,魏奇,王凡红,公艳芬,FB-332,20130807,云南,1054,,,,https://image.cvh.ac.cn/files/l/KUN/1406365.jpg,,,,,,,,,, +华北石韦,Pyrrosia davidii,"D.E.Boufford,C.Y.Xi,T.S.Ying etc.",26368,19940531,河南省,1150~950,on slopes and ridges along stream on rock,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02230410.jpg,,,,,,,,,, +华北石韦,Pyrrosia davidii,卫然,WR0174,20100615,北京市,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02032766.jpg,,,,,,,,,, +华北石韦,Pyrrosia davidii,李青山,625,,内蒙古自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01247344.jpg,,,,,,,,,, +毡毛石韦,Pyrrosia drakeana,陈功锡,张代贵等,LXP-06-7869,20151003,江西省,775,溪边,草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU08133.jpg,,,,,,,,,, +毡毛石韦,Pyrrosia drakeana,江苏?调查组,13,19740920,江苏省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01247665.jpg,,,,,,,,,, +毡毛石韦,Pyrrosia drakeana,田旗、王正伟、郭光普,TQ00505,20110507,西藏,,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0071225.jpg,,,,,,,,,, +剑叶石韦,Pyrrosia ensata,"程树志,李渤生",4299,19830425,西藏自治区,1600~1800,常绿阔叶林中常见藤状草本爬于树上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01945740.jpg,,,,,,,,,, +剑叶石韦,Pyrrosia ensata,青藏队,9235,19820811,云南省,,山坡常绿阔叶林中,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01938701.jpg,,,,,,,,,, +剑叶石韦,Pyrrosia ensata,周喜乐、严岳鸿、杜诚,ZXL09905,20141124,清迈府,688,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0110380.jpg,,,,,,,,,, +卷毛石韦,Pyrrosia flocculosa,,96,19100300,,100~50,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01266021.jpg,,,,,,,,,, +卷毛石韦,Pyrrosia flocculosa,广西调查队,3275,19530809,广西壮族自治区,,岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01266010.jpg,,,,,,,,,, +卷毛石韦,Pyrrosia flocculosa,"李渤生,李辉",14160,19901009,西藏自治区,1400~2000,常绿阔叶林树上时见,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01266014.jpg,,,,,,,,,, +纸质石韦,Pyrrosia heteractis,华南队,2092,19890929,广西壮族自治区,1300,山地、山谷,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02020364.jpg,,,,,,,,,, +纸质石韦,Pyrrosia heteractis,侯元同,郭成勇,侯春丽,201605071-1,20160430,四川省,1808.58,林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/QFNU/QFNU0023025.jpg,,,,,,,,,, +华北石韦,Pyrrosia heteractis,李家美,40,20100811,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0004119.jpg,,,,,,,,,, +披针叶石韦,Pyrrosia lanceolata,Ajaula Nujoy,s.n.,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01347995.jpg,,,,,,,,,, +披针叶石韦,Pyrrosia lanceolata,李振基、吕静,1003,20060725,湖北,,,,有孢子囊,https://image.cvh.ac.cn/files/l/AU/AU073039.jpg,,,,,,,,,, +披针叶石韦,Pyrrosia lanceolata,中植联广西队,2607,20080811,广西,180~220,山腰山脚,,有孢子囊,https://image.cvh.ac.cn/files/l/HIB/HIB0182615.jpg,,,,,,,,,, +石韦,Pyrrosia lingua,,,19540000,海南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00161546.jpg,,,,,,,,,, +石韦,Pyrrosia lingua,魏奇,王凡红,公艳芬,FB-392,20130813,云南,1561,,,,https://image.cvh.ac.cn/files/l/KUN/1406374.jpg,,,,,,,,,, +石韦,Pyrrosia lingua,Shiu Ying Hu,11426,19720121,香港,,"Creeping on surface of huge rock,covering the entire top and the wire-like rhizome creep down for l meter.",,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01266878.jpg,,,,,,,,,, +南洋石韦,Pyrrosia longifolia,Mr.W.Hancock.,96,18810000,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01644170.jpg,,,,,,,,,, +南洋石韦,Pyrrosia longifolia,周喜乐、舒江平、肖艳,ZXL06863,20160330,海南,179,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0118794.jpg,,,,,,,,,, +南洋石韦,Pyrrosia longifolia,刘炳荣,8310070,19831023,湖南省,1400,山地山坡岩壁上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01786131.jpg,,,,,,,,,, +蔓氏石韦,Pyrrosia mannii,Griffith ,s.n.,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01267140.jpg,,,,,,,,,, +石韦属,Pyrrosia mannii,高信芬、朱章明、赵雪利、张良,12643,20100725,四川省,2630,山坡岩石上,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0229119.jpg,,,,,,,,,, +蔓氏石韦,Pyrrosia mannii,张宪春,5282,20081026,西藏自治区,2000,树干上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01938257.jpg,,,,,,,,,, +,Pyrrosia mollis,,45,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01551043.jpg,,,,,,,,,, +,Pyrrosia mollis,"关克俭,王文采等",3252,19630906,四川省,1550,石缝,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01572421.jpg,,,,,,,,,, +多形石苇,Pyrrosia mollis,R.C.Ching,7172,19280827,浙江省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00161724.jpg,,,,,,,,,, +柔软石韦,Pyrrosia porosa,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201077,20200721,西藏,2105,树上,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1506701.jpg,,,,,,,,,, +柔软石韦,Pyrrosia porosa,J.I.Jeon et al.,1255,20100809,四川省,1483,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01923049.jpg,,,,,,,,,, +柔软石韦,Pyrrosia porosa,Cavalerie,146,,贵州省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01346426.jpg,,,,,,,,,, +狭叶石韦,Pyrrosia stenophylla,X.H.Jin et al.,DLJ-ET 0106,20080624,云南省,1700,evergreen broadl,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01938263.jpg,,,,,,,,,, +狭叶石韦,Pyrrosia stenophylla,张理,522726140821014 LY,20140821,贵州省,927,阳性、灌丛、酸性土、中生、中温、野生植物,一年生草本植物,无孢子囊,https://image.cvh.ac.cn/files/l/GZTM/GZTM0065264.jpg,,,,,,,,,, +狭叶石韦,Pyrrosia stenophylla,South Tibet Expedition Team(STET),STET1740,20100731,西藏自治区,1900,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02013655.jpg,,,,,,,,,, +柱状石韦,Pyrrosia stigmosa,,5593,19230305,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01347067.jpg,,,,,,,,,, +柱状石韦,Pyrrosia stigmosa,青藏队,4169,19740810,西藏自治区,750,山坡阔叶林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01347062.jpg,,,,,,,,,, +绒毛石韦,Pyrrosia subfurfuracea,方嗣昭,902874,19900204,贵州省,350,,,无花无果,https://image.cvh.ac.cn/files/l/HGAS/054045.jpg,,,,,,,,,, +绒毛石韦,Pyrrosia subfurfuracea,"S.G.Wu,P.K.Loc etc.",WP1470,20061108,,1310~1360,"in heavily logged primary closed evergreen seasonal tropical broad-leaved submontane forests on lower slopes and wet foots of granite mountains, especially on stream banks.",,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1229387.jpg,,,,,,,,,, +绒毛石韦,Pyrrosia subfurfuracea,覃海宁等,487,19980412,广西壮族自治区,780,灌丛,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02020402.jpg,,,,,,,,,, +,Quercus longispica,,,,,,,,,,,,,,,,,,, +,Ranunculus angustisepalus,,,,,,,,,,,,,,,,,,, +巴郎山毛莨,Ranunculus balangshanicus,四川大学生物系队,79114,19790718,四川省,4300,石质山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934864.jpg,,,,,,,,,, +班戈毛茛,Ranunculus banguoensis,吴磊,吴娱,XJ0008,20130620,新疆,,,,,https://image.cvh.ac.cn/files/l/BNU/BNU0022661.jpg,,,,,,,,,, +班戈毛茛,Ranunculus banguoensis,?,84-A-255,1984.7.3,新疆维吾尔自治区 ,4850,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00010389.jpg,,,,,,,,,, +班戈毛茛,Ranunculus banguoensis,?,84-A-255,198473,,4850,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20008564.jpg,,,,,,,,,, +苍山毛茛,Ranunculus cangshanicus,"杨亲二,孔宏智",98-151,19980825,云南省,3300,公路边草地(水边),,有花无果,https://image.cvh.ac.cn/files/l/PE/00429123.jpg,,,,,,,,,, +川青毛茛,Ranunculus chuanchingensis,,7278,19740704,四川省,,向阳草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00429528.jpg,,,,,,,,,, +川青毛茛,Ranunculus chuanchingensis,,196,19640701,青海省,4850,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429527.jpg,,,,,,,,,, +睫毛毛茛,Ranunculus densiciliatus,青藏队,5492,19750604,西藏自治区,4100,河边砂土地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00028169.jpg,,,,,,,,,, +睫毛毛茛,Ranunculus densiciliatus,罗建,汪书丽,LiuJQ-08XZ-162,20080803,西藏,4264,高山灌丛草甸,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232731.jpg,,,,,,,,,, +康定毛茛,Ranunculus dielsianus,陈又生,9017,20090718,云南省,3700,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966820.jpg,,,,,,,,,, +,Ranunculus dielsianus,R. C. J. E. Maire,2660 ser. B,,,,,,,https://image.cvh.ac.cn/files/l/NY/00023286.jpg,,,,,,,,,, +康定毛茛,Ranunculus dielsianus,青藏队,7490,19750905,西藏自治区,4800,河边金腊梅灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429545.jpg,,,,,,,,,, +圆裂毛茛,Ranunculus dongrergensis,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",771,19930804,青海省,4780~4900,Alpine meadow.Wet site on rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429588.jpg,,,,,,,,,, +圆裂毛茛,Ranunculus dongrergensis,张洪军,ZHANG2018HC065,20180609,甘肃,2678,温带丛生禾草-半灌木-矮半灌木草原+高山草甸植被,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1447446.jpg,,,,,,,,,, +圆裂毛茛,Ranunculus dongrergensis,王启无,5117,193508,云南,3200,Ravin,,有花无果,https://image.cvh.ac.cn/files/l/KUN/377060.jpg,,,,,,,,,, +甘藏毛茛,Ranunculus glabricaulis,青藏队植被组,8643,19760627,西藏自治区,5000,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429685.jpg,,,,,,,,,, +甘藏毛茛,Ranunculus glabricaulis,E.Licent,4628a,19180816,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429683.jpg,,,,,,,,,, +甘藏毛茛,Ranunculus glabricaulis,何廷农,351,19650819,青海省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/12282.jpg,,,,,,,,,, +砾地毛茛,Ranunculus glareosus,吴玉虎等,5512,19900729,青海省,4350,流石滩边草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269988.jpg,,,,,,,,,, +砾地毛茛,Ranunculus glareosus,E.D.Boufford et al.,34116,20050803,四川省,5020,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01505807.jpg,,,,,,,,,, +砾地毛茛,Ranunculus glareosus,"朱鑫鑫,安宇梦",ZXX18126,20180617,青海,3915,高原亚寒带高山草地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1438516.jpg,,,,,,,,,, +和田毛茛,Ranunculus hetianensis,杨昌友/C.Y.Yang,750489,19750720,新疆维吾尔自治区,3200,草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934869.jpg,,,,,,,,,, +圆叶毛茛,Ranunculus indivisus,四川省药源普查队,20277,19600804,四川省,4200,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00185272.jpg,,,,,,,,,, +圆叶毛茛,Ranunculus indivisus,Q.E.Yang and Q.Yuan,53,20030820,云南省,3500~4000,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350410.jpg,,,,,,,,,, +圆叶毛茛,Ranunculus indivisus,何业祺,3991,1959/7/9,甘肃省,2500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0155897.jpg,,,,,,,,,, +昆仑毛茛,Ranunculus kunlunshanicus,杨慧钊,201906086,20190710,新疆,4407.21,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1525482.jpg,,,,,,,,,, +昆仑毛茛,Ranunculus kunlunshanicus,?,84-A -157,1984623,,4310,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20008619.jpg,,,,,,,,,, +昆仑毛茛,Ranunculus kunlunshanicus,,84-A-143,19840623,新疆维吾尔自治区,4310,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00028181.jpg,,,,,,,,,, +,Ranunculus limprichtii,Harry Smith,3867,19220719,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934867.jpg,,,,,,,,,, +,Ranunculus limprichtii,K. A. H. Smith,3867,1922/9/19,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038478.jpg,,,,,,,,,, +纺锤毛茛,Ranunculus limprichtii,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20917,20200701,西藏,3983,灌丛中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1559738.jpg,,,,,,,,,, +若尔盖毛茛,Ranunculus luoergaiensis,四川药源普查队,20234,19600803,四川省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00028186.jpg,,,,,,,,,, +米林毛茛,Ranunculus mainlingensis,李勃生 程树志等,5967,19830728,西藏自治区,4300,高山 灌丛草甸 湿地中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934870.jpg,,,,,,,,,, +,Ranunculus mengyuanensis,,,,,,,,,,,,,,,,,,, +,Ranunculus micronivalis,T.T.Yu,12687,19370807,云南省,3700,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459052.jpg,,,,,,,,,, +窄瓣毛茛,Ranunculus micronivalis,,,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00053982.jpg,,,,,,,,,, +,Ranunculus micronivalis,H.Smith,3254,19220721,四川省,4800~5000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459050.jpg,,,,,,,,,, +,Ranunculus minor,,,,,,,,,,,,,,,,,,, +藓丛毛莨,Ranunculus muscigenus,李勃生 程树志等/Li Bo-sheng & Cheng Shu-zhi et al.,5701,19830721,西藏自治区,3600,林内沼泽草甸中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934875.jpg,,,,,,,,,, +丝叶毛莨,Ranunculus nematolobus,秦仁昌,23513,19400802,云南省,,草坝水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459098.jpg,,,,,,,,,, +丝叶毛茛,Ranunculus nematolobus,张挺,刘成,郭永杰等,09CS1380,20090720,云南,3226,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1232761.jpg,,,,,,,,,, +,Ranunculus pedicellatus,,,,,,,,,,,,,,,,,,, +硕花大瓣毛茛,Ranunculus platypetalus,K.M.Feng,6238,19400801,云南省,4100,草坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934855.jpg,,,,,,,,,, +大瓣毛茛,Ranunculus platypetalus,T.T.Yu,2418,19340727,四川省,3500,mt.summit sandy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459398.jpg,,,,,,,,,, +大瓣毛茛,Ranunculus platypetalus,果洛队,420,19710801,青海省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/25496.jpg,,,,,,,,,, +大金毛茛,Ranunculus pseudolobatus,李馨,77942,19580628,四川省,4750,山岭附近草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459452.jpg,,,,,,,,,, +苞毛茛,Ranunculus similis,?,A87-197,198786,,5380,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20008834.jpg,,,,,,,,,, +苞毛茛,Ranunculus similis,PE西藏考察队,8054,20180702,西藏自治区,5129,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02331712.jpg,,,,,,,,,, +苞毛茛,Ranunculus similis,郭柯,12465,19880818,新疆维吾尔自治区,4940,河谷阶地的覆沙地Carex 草原,,无花无果,https://image.cvh.ac.cn/files/l/PE/00466001.jpg,,,,,,,,,, +四蕊毛茛,Ranunculus tetrandrus,李勃生 程树志等/Li Bo-sheng & Cheng Shu-zhi et al.,5842,19830726,西藏自治区,4500,高山冰川 河边草甸中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934857.jpg,,,,,,,,,, +中甸毛茛,Ranunculus zhungdianensis,T.T.Yu,12161,19370715,云南省,3600,草坡,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00028209.jpg,,,,,,,,,, +,Ranunculus zhungdianensis,T. T. Yu,12161,1937/7/15,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038482.jpg,,,,,,,,,, +贡山木瓜红,Rehderodendron gongshanense,青藏队,9227,19820811,云南省,1500,山坡常绿阔叶林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00027882.jpg,,,,,,,,,, +早花岩芋,Remusatia hookeriana,蔡杰,刘恩德,郭永杰,13CS7698,20130531,西藏,2177,林缘树上,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1396689.jpg,,,,,,,,,, +早花岩芋,Remusatia hookeriana,C.W.Wang,82458,19391014,云南省,2200,under forest on rock,,有花有果,https://image.cvh.ac.cn/files/l/PE/00032654.jpg,,,,,,,,,, +早花岩芋,Remusatia hookeriana,孙航等,697,19910508,Phuket,1500,山顶,,有花无果,https://image.cvh.ac.cn/files/l/KUN/96118.jpg,,,,,,,,,, +,Remusatia pumila,青藏队,6839,19750715,西藏自治区,2100,河谷杂木林下湿润处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109509.jpg,,,,,,,,,, +,Remusatia pumila,殷建涛,260,20030609,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/106355.jpg,,,,,,,,,, +曲苞芋,Remusatia pumila,刀志灵;杨静;郭世伟;张品;杨佳俊;陶丽丹;杨丰懋;陈娅玲,KIBDZL186B01,20190707,云南,1321,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1560135.jpg,,,,,,,,,, +岩芋,Remusatia vivipara,郭永杰,唐培洵,金永明,张娅婕,13CS7766,20130824,云南,1422,,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1392884.jpg,,,,,,,,,, +岩芋,Remusatia vivipara,青藏队植被组,3756,19750607,西藏自治区,2400,栲林中阴坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01539501.jpg,,,,,,,,,, +岩芋,Remusatia vivipara,李泽贤等,1524,19840505,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0612240.jpg,,,,,,,,,, +,Renanthera imschootiana,,8532,19310000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01720941.jpg,,,,,,,,,, +,Renanthera imschootiana,冯国楣,75-617,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00850336.jpg,,,,,,,,,, +川滇猫乳,Rhamnella forrestii,张永田,张志松,4248,19600610,贵州省,1200,山坡灌木林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0417935.jpg,,,,,,,,,, +川滇猫乳,Rhamnella forrestii,康藏植物考察队,10-2368,20100819,西藏自治区,2926,山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967731.jpg,,,,,,,,,, +川滇猫乳,Rhamnella forrestii,刘慎谔,16262,19460000,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0417942.jpg,,,,,,,,,, +卵叶猫乳,Rhamnella wilsonii,俞德浚,13411,19370920,云南省,2900,among thickets on open slope,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0418013.jpg,,,,,,,,,, +卵叶猫乳,Rhamnella wilsonii,李馨,76234,1957/9/24,四川,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0251651.jpg,,,,,,,,,, +卵叶猫乳,Rhamnella wilsonii,,19114,19190000,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0417924.jpg,,,,,,,,,, +淡黄鼠李,Rhamnus flavescens,魏,22391,19810812,青海省,3400,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/104157.jpg,,,,,,,,,, +淡黄鼠李,Rhamnus flavescens,"张挺, 刘成, 亚吉东",18CS17733,20180917,西藏,3886,碎石坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487374.jpg,,,,,,,,,, +淡黄鼠李,Rhamnus flavescens,姜如碧,545,19840510,贵州省,2150,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0402640.jpg,,,,,,,,,, +川滇鼠李,Rhamnus gilgiana,,2216,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00039659.jpg,,,,,,,,,, +川滇鼠李,Rhamnus gilgiana,"于胜祥,候元同等",4774,20110801,四川省,,沿途,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003552.jpg,,,,,,,,,, +川滇鼠李,Rhamnus gilgiana,红水河植物考察队,282,19890422,广西壮族自治区,1200,石灰岩 灌丛山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999372.jpg,,,,,,,,,, +,Rhaphidophora calophylla,,,,,,,,,,,,,,,,,,, +粗茎崖角藤,Rhaphidophora crassicaulis,独龙江考察队,4444,19910309,云南省,1380,常绿林,,无花有果,https://image.cvh.ac.cn/files/l/KUN/69518.jpg,,,,,,,,,, +粗茎崖角藤,Rhaphidophora crassicaulis,左景烈, 陈念劬,44256,19321111,海南省 ,0~4000,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0637407.jpg,,,,,,,,,, +粗茎崖角藤,Rhaphidophora crassicaulis,北京队,892082,19890501,广西壮族自治区,600,石岩上,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017447.jpg,,,,,,,,,, +爬树龙,Rhaphidophora decursiva,何海文,杨锦超,YangXF0216,20130620,广西,525,北热带半常绿季雨林、湿润雨林地带山坡、沟谷林下、树上、石上荫湿处,草质藤本,,https://image.cvh.ac.cn/files/l/KUN/1392887.jpg,,,,,,,,,, +爬树龙,Rhaphidophora decursiva,,703,19660621,四川,,阴湿处,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM720900845.jpg,,,,,,,,,, +爬树龙,Rhaphidophora decursiva,邓方飞等,15432,20001008,广西壮族自治区,800,山地密林肥土石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240989.jpg,,,,,,,,,, +,Rhaphidophora glauca,,,,,,,,,,,,,,,,,,, +狮子尾,Rhaphidophora hongkongensis,,578,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0612283.jpg,,,,,,,,,, +狮子尾,Rhaphidophora hongkongensis,Tsang Tang and Fung,120,19290510,海南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0612266.jpg,,,,,,,,,, +狮子尾,Rhaphidophora hongkongensis,Y.Tsiang,7324,19301007,贵州省,1800,"In light woods,On tree trunk",,无花无果,https://image.cvh.ac.cn/files/l/PE/01436964.jpg,,,,,,,,,, +毛过山龙,Rhaphidophora hookeri,W.T.Tsang,27001,19361016,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0637434.jpg,,,,,,,,,, +毛过山龙,Rhaphidophora hookeri,蒋维邦,31,19530425,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01437017.jpg,,,,,,,,,, +毛过山龙,Rhaphidophora hookeri,,180,19600518,四川,,河边,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM720900843.jpg,,,,,,,,,, +,Rhaphidophora korthalsii,,,,,,,,,,,,,,,,,,, +绿春崖角藤,Rhaphidophora luchunensis,陶德定,921,19731016,云南省,2100,林下乔木附生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01437046.jpg,,,,,,,,,, +绿春崖角藤,Rhaphidophora luchunensis,青藏队,74-1839,19740812,西藏自治区,2040,常绿林中,,无花有果,https://image.cvh.ac.cn/files/l/KUN/69669.jpg,,,,,,,,,, +大叶南苏,Rhaphidophora peepla,王启无,66849,19351000,云南省,2000,Vine parasitic on tree or rock,,有花有果,https://image.cvh.ac.cn/files/l/PE/00032653.jpg,,,,,,,,,, +大叶南苏,Rhaphidophora peepla,蔡杰、郭云刚、张凤琼、李梅娟、李昌洪,14CS9775,20141112,云南,1909,路边杂木林林缘,木质藤本,,https://image.cvh.ac.cn/files/l/KUN/1392895.jpg,,,,,,,,,, +,Rhapis excelsa,,327,19381124,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0050963.jpg,,,,,,,,,, +棕竹,Rhapis excelsa,赵魁义,46,19731105,广东,,,小灌木,无花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0018311.jpg,,,,,,,,,, +棕竹,Rhapis excelsa,川黔队,743,19560624,重庆市,780,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01450151.jpg,,,,,,,,,, +,Rheum alexandrae,陈文允,于文涛,黄永江,CYH017,20100908,四川,4389,高山草甸,湿地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1243574.jpg,,,,,,,,,, +苞叶大黄,Rheum alexandrae,横断山队植被组,4908,19830809,四川省,4300,杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060055.jpg,,,,,,,,,, +,Rheum alexandrae,张挺,郭永杰,刘成等,10CS2235,20100804,云南,3856,"Alpine meadow and grazing pasture. Boggy area beside river and lake with Primula, Sanguisorba, Leontopodium, Parnassia, Euphrasia, Ranunculus.",多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1243572.jpg,,,,,,,,,, +牛尾七,Rheum forrestii,王作宾,16664,19530519,甘肃省,1340,生沟中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0425348.jpg,,,,,,,,,, +牛尾七,Rheum forrestii,Forrrest Schneider,5940 /1983,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00061933.jpg,,,,,,,,,, +牛尾七,Rheum forrestii,于胜祥,侯元同,张晓霞,5750,20110818,西藏,,路旁悬崖,草本,无花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0058478.jpg,,,,,,,,,, +红脉大黄,Rheum inopinatum,青藏队,2871,19740803,西藏自治区,4200,高山草坡或沟岸旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/00240660.jpg,,,,,,,,,, +红脉大黄,Rheum inopinatum,岳俊三,828,19760821,四川省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS001742041.jpg,,,,,,,,,, +红脉大黄,Rheum inopinatum,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20656,20200625,西藏,3862,高山灌丛草地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509621.jpg,,,,,,,,,, +,Rheum kialense,"Maire, Edouard-Ernest",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00279467.jpg,,,,,,,,,, +疏枝大黄,Rheum kialense,李馨,77692,19580613,重庆市,3800,"山脊,草坡",,有花无果,https://image.cvh.ac.cn/files/l/PE/00240636.jpg,,,,,,,,,, +,Rheum kialense,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-010-B06,20160801,四川,,高山栎群落中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00608734.jpg,,,,,,,,,, +条裂大黄,Rheum laciniatum,方明渊及83级同学,258,19560710,四川省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00252363.jpg,,,,,,,,,, +条裂大黄,Rheum laciniatum,高云东,邓亨宁,黎怀成,THP-KD-2081,20170804,四川,2800~3000,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242612.jpg,,,,,,,,,, +条裂大黄,Rheum laciniatum,E.H. Wilson,4415,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00061923.jpg,,,,,,,,,, +拉萨大黄,Rheum lhasaense,,QHQ0809,,西藏自治区,3800~4200,山坡(草坡上),,有花无果,https://image.cvh.ac.cn/files/l/PE/01008258.jpg,,,,,,,,,, +拉萨大黄,Rheum lhasaense,青藏队,12334,19830723,四川省,4000,山坡,灌丛,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0425357.jpg,,,,,,,,,, +拉萨大黄,Rheum lhasaense,于胜祥,侯元同,张晓霞,5955,20110824,西藏,,沿途路旁山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0058483.jpg,,,,,,,,,, +丽江大黄,Rheum likiangense,青藏科考队,12554,19760803,西藏自治区,3900,山坡崖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00240674.jpg,,,,,,,,,, +,Rheum likiangense,蔡杰,张挺,刘成,郭永杰,张桥蓉,11CS3253,20110821,云南,3978,路边山坡灌丛下,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1303282.jpg,,,,,,,,,, +丽江大黄,Rheum likiangense,郭本兆 王为义,8431,19710708,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00314.jpg,,,,,,,,,, +,Rheum przewalskyi,Hopkingson,1151,19300903,青海省,5000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00240823.jpg,,,,,,,,,, +,Rheum przewalskyi,伍典汉,6622,19740722,四川省,4700,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00240824.jpg,,,,,,,,,, +,Rheum przewalskyi,,,,,,,,,,,,,,,,,,, +,Rheum pumilum,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-1018,20080723,西藏,5307,高山流石滩,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1303285.jpg,,,,,,,,,, +小大黄,Rheum pumilum,K.S.Hao,1095,19300902,青海省,4500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00240869.jpg,,,,,,,,,, +小大黄,Rheum pumilum,"郎楷永,李良千,费勇",2765,19830805,四川省,4400,卡子拉山丫口高山草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01063390.jpg,,,,,,,,,, +,Rheum rhomboideum,扎西次仁,ZhongY103,20080729,西藏,4730,山坡草地,山顶草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1243956.jpg,,,,,,,,,, +菱叶大黄,Rheum rhomboideum,周立华,53,19660610,青海省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00279.jpg,,,,,,,,,, +,Rheum rhomboideum,冯虎元,LiuJQ-08KLS-106,20080910,青海,4653,高寒草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1243653.jpg,,,,,,,,,, +垂枝大黄,Rheum subacaule,,7515,19400508,西康,,,,无花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0001381.jpg,,,,,,,,,, +垂枝大黄,Rheum subacaule,刘振宁,1269,1934,西藏,,,,无花有果,https://image.cvh.ac.cn/files/l/PEM/PEM0001380.jpg,,,,,,,,,, +垂枝大黄,Rheum subacaule,H.Smith,11286,19340820,四川省,4600,In declivo terroso-glareoso.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00000025.jpg,,,,,,,,,, +窄叶大黄,Rheum sublanceolatum,周立华 张盍曾,1505,19700714,甘肃省,3090,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/111509.jpg,,,,,,,,,, +窄叶大黄,Rheum sublanceolatum,何毅,126,19290805,甘肃,2910,,,无花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0001386.jpg,,,,,,,,,, +鸡爪大黄,Rheum tanguticum,高作经,,1981,甘肃兰州,,,,有花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0001391.jpg,,,,,,,,,, +鸡爪大黄,Rheum tanguticum,松潘小组,1567,19590707,四川省,3300,"阳山草坡,砂质土",,有花无果,https://image.cvh.ac.cn/files/l/PE/00240975.jpg,,,,,,,,,, +鸡爪大黄,Rheum tanguticum,,,19610507,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI007192.jpg,,,,,,,,,, +,Rhodiola alsia,,,,,,,,,,,,,,,,,,, +,Rhodiola alterna,,,,,,,,,,,,,,,,,,, +,Rhodiola chrysanthemifolia,,,,,,,,,,,,,,,,,,, +,Rhodiola forrestii,,,,,,,,,,,,,,,,,,, +,Rhodiola handelii,,,,,,,,,,,,,,,,,,, +,Rhodiola junggarica,,,,,,,,,,,,,,,,,,, +,Rhodiola primuloides,,,,,,,,,,,,,,,,,,, +,Rhodiola purpureoviridis,,,,,,,,,,,,,,,,,,, +,Rhodiola sexifolia,,,,,,,,,,,,,,,,,,, +,Rhodiola subopposita,,,,,,,,,,,,,,,,,,, +,Rhodiola tangutica,,,,,,,,,,,,,,,,,,, +,Rhodiola tieghemii,,,,,,,,,,,,,,,,,,, +,Rhododendron adenogynum,,,,,,,,,,,,,,,,,,, +,Rhododendron adenosum,,,,,,,,,,,,,,,,,,, +,Rhododendron aganniphum,,,,,,,,,,,,,,,,,,, +,Rhododendron albertsenianum,,,,,,,,,,,,,,,,,,, +,Rhododendron alutaceum,,,,,,,,,,,,,,,,,,, +,Rhododendron amandum,,,,,,,,,,,,,,,,,,, +,Rhododendron amesiae,,,,,,,,,,,,,,,,,,, +,Rhododendron anthopogonoides,,,,,,,,,,,,,,,,,,, +,Rhododendron asterochnoum,,,,,,,,,,,,,,,,,,, +,Rhododendron auritum,,,,,,,,,,,,,,,,,,, +,Rhododendron balangense,,,,,,,,,,,,,,,,,,, +,Rhododendron balfourianum,,,,,,,,,,,,,,,,,,, +,Rhododendron bamaense,,,,,,,,,,,,,,,,,,, +,Rhododendron barkamense,,,,,,,,,,,,,,,,,,, +,Rhododendron bathyphyllum,,,,,,,,,,,,,,,,,,, +,Rhododendron bijiangense,,,,,,,,,,,,,,,,,,, +,Rhododendron bonvalotii,,,,,,,,,,,,,,,,,,, +,Rhododendron bulu,,,,,,,,,,,,,,,,,,, +,Rhododendron calvescens,,,,,,,,,,,,,,,,,,, +,Rhododendron catacosmum,,,,,,,,,,,,,,,,,,, +,Rhododendron chamaethomsonii,,,,,,,,,,,,,,,,,,, +,Rhododendron circinnatum,,,,,,,,,,,,,,,,,,, +,Rhododendron citriniflorum,,,,,,,,,,,,,,,,,,, +,Rhododendron codonanthum,,,,,,,,,,,,,,,,,,, +,Rhododendron comisteum,,,,,,,,,,,,,,,,,,, +,Rhododendron complexum,,,,,,,,,,,,,,,,,,, +,Rhododendron coriaceum,,,,,,,,,,,,,,,,,,, +,Rhododendron coryanum,,,,,,,,,,,,,,,,,,, +,Rhododendron crinigerum,,,,,,,,,,,,,,,,,,, +,Rhododendron cuneatum,,,,,,,,,,,,,,,,,,, +,Rhododendron danbaense,,,,,,,,,,,,,,,,,,, +,Rhododendron dasycladoides,,,,,,,,,,,,,,,,,,, +,Rhododendron dasypetalum,,,,,,,,,,,,,,,,,,, +,Rhododendron davidsonianum,,,,,,,,,,,,,,,,,,, +,Rhododendron dawuense,,,,,,,,,,,,,,,,,,, +,Rhododendron dekatanum,,,,,,,,,,,,,,,,,,, +,Rhododendron dendrocharis,,,,,,,,,,,,,,,,,,, +,Rhododendron dignabile,,,,,,,,,,,,,,,,,,, +,Rhododendron doshongense,,,,,,,,,,,,,,,,,,, +,Rhododendron dumicola,,,,,,,,,,,,,,,,,,, +,Rhododendron elegantulum,,,,,,,,,,,,,,,,,,, +,Rhododendron erastum,,,,,,,,,,,,,,,,,,, +,Rhododendron erosum,,,,,,,,,,,,,,,,,,, +,Rhododendron erythrocalyx,,,,,,,,,,,,,,,,,,, +,Rhododendron esetulosum,,,,,,,,,,,,,,,,,,, +,Rhododendron eudoxum,,,,,,,,,,,,,,,,,,, +,Rhododendron eurysiphon,,,,,,,,,,,,,,,,,,, +,Rhododendron fastigiatum,,,,,,,,,,,,,,,,,,, +,Rhododendron flavantherum,,,,,,,,,,,,,,,,,,, +,Rhododendron flavidum,,,,,,,,,,,,,,,,,,, +,Rhododendron flavoflorum,,,,,,,,,,,,,,,,,,, +,Rhododendron fletcherianum,,,,,,,,,,,,,,,,,,, +,Rhododendron floccigerum,,,,,,,,,,,,,,,,,,, +,Rhododendron galactinum,,,,,,,,,,,,,,,,,,, +,Rhododendron gemmiferum,,,,,,,,,,,,,,,,,,, +,Rhododendron gologense,,,,,,,,,,,,,,,,,,, +,Rhododendron gonggashanense,,,,,,,,,,,,,,,,,,, +,Rhododendron gongshanense,,,,,,,,,,,,,,,,,,, +,Rhododendron hemidartum,,,,,,,,,,,,,,,,,,, +,Rhododendron heteroclitum,,,,,,,,,,,,,,,,,,, +,Rhododendron hillier,,,,,,,,,,,,,,,,,,, +,Rhododendron hippophaeoides,,,,,,,,,,,,,,,,,,, +,Rhododendron hirsutipetiolatum,,,,,,,,,,,,,,,,,,, +,Rhododendron hirtipes,,,,,,,,,,,,,,,,,,, +,Rhododendron hoi,,,,,,,,,,,,,,,,,,, +,Rhododendron hunnewellianum,,,,,,,,,,,,,,,,,,, +,Rhododendron igneum,,,,,,,,,,,,,,,,,,, +,Rhododendron impeditum,,,,,,,,,,,,,,,,,,, +,Rhododendron intricatum,,,,,,,,,,,,,,,,,,, +,Rhododendron invictum,,,,,,,,,,,,,,,,,,, +,Rhododendron joniense,,,,,,,,,,,,,,,,,,, +,Rhododendron lanatoides,,,,,,,,,,,,,,,,,,, +,Rhododendron lanatum,,,,,,,,,,,,,,,,,,, +,Rhododendron lateriflorum,,,,,,,,,,,,,,,,,,, +,Rhododendron leptopeplum,,,,,,,,,,,,,,,,,,, +,Rhododendron leucaspis,,,,,,,,,,,,,,,,,,, +,Rhododendron longesquamatum,,,,,,,,,,,,,,,,,,, +,Rhododendron longicalyx,,,,,,,,,,,,,,,,,,, +,Rhododendron luhuoense,,,,,,,,,,,,,,,,,,, +,Rhododendron lukiangense,,,,,,,,,,,,,,,,,,, +,Rhododendron lulangense,,,,,,,,,,,,,,,,,,, +,Rhododendron mainlingense,,,,,,,,,,,,,,,,,,, +,Rhododendron maowenense,,,,,,,,,,,,,,,,,,, +,Rhododendron medogense,,,,,,,,,,,,,,,,,,, +,Rhododendron megalanthum,,,,,,,,,,,,,,,,,,, +,Rhododendron microgynum,,,,,,,,,,,,,,,,,,, +,Rhododendron mimetes,,,,,,,,,,,,,,,,,,, +,Rhododendron miniatum,,,,,,,,,,,,,,,,,,, +,Rhododendron minyaense,,,,,,,,,,,,,,,,,,, +,Rhododendron mollicomum,,,,,,,,,,,,,,,,,,, +,Rhododendron montroseanum,,,,,,,,,,,,,,,,,,, +,Rhododendron nakotiltum,,,,,,,,,,,,,,,,,,, +,Rhododendron nigroglandulosum,,,,,,,,,,,,,,,,,,, +,Rhododendron nitidulum,,,,,,,,,,,,,,,,,,, +,Rhododendron nyingchiense,,,,,,,,,,,,,,,,,,, +,Rhododendron odoriferum,,,,,,,,,,,,,,,,,,, +,Rhododendron oreogenum,,,,,,,,,,,,,,,,,,, +,Rhododendron orthocladum,,,,,,,,,,,,,,,,,,, +,Rhododendron parmulatum,,,,,,,,,,,,,,,,,,, +,Rhododendron peramoenum,,,,,,,,,,,,,,,,,,, +,Rhododendron phaeochrysum,,,,,,,,,,,,,,,,,,, +,Rhododendron piercei,,,,,,,,,,,,,,,,,,, +,Rhododendron pomense,,,,,,,,,,,,,,,,,,, +,Rhododendron populare,,,,,,,,,,,,,,,,,,, +,Rhododendron porphyrophyllum,,,,,,,,,,,,,,,,,,, +,Rhododendron potaninii,,,,,,,,,,,,,,,,,,, +,Rhododendron praestans,,,,,,,,,,,,,,,,,,, +,Rhododendron principis,,,,,,,,,,,,,,,,,,, +,Rhododendron pronum,,,,,,,,,,,,,,,,,,, +,Rhododendron proteoides,,,,,,,,,,,,,,,,,,, +,Rhododendron pudorosum,,,,,,,,,,,,,,,,,,, +,Rhododendron qinghaiense,,,,,,,,,,,,,,,,,,, +,Rhododendron radendum,,,,,,,,,,,,,,,,,,, +,Rhododendron ramipilosum,,,,,,,,,,,,,,,,,,, +,Rhododendron ramsdenianum,,,,,,,,,,,,,,,,,,, +,Rhododendron repens,,,,,,,,,,,,,,,,,,, +,Rhododendron rhombifolium,,,,,,,,,,,,,,,,,,, +,Rhododendron rigidum,,,,,,,,,,,,,,,,,,, +,Rhododendron riparioides,,,,,,,,,,,,,,,,,,, +,Rhododendron rufescens,,,,,,,,,,,,,,,,,,, +,Rhododendron sargentianum,,,,,,,,,,,,,,,,,,, +,Rhododendron schizopeplum,,,,,,,,,,,,,,,,,,, +,Rhododendron scopulorum,,,,,,,,,,,,,,,,,,, +,Rhododendron selense,,,,,,,,,,,,,,,,,,, +,Rhododendron semnoides,,,,,,,,,,,,,,,,,,, +,Rhododendron serpens,,,,,,,,,,,,,,,,,,, +,Rhododendron setiferum,,,,,,,,,,,,,,,,,,, +,Rhododendron sherriffii,,,,,,,,,,,,,,,,,,, +,Rhododendron shimianense,,,,,,,,,,,,,,,,,,, +,Rhododendron shweliense,,,,,,,,,,,,,,,,,,, +,Rhododendron silvaticum,,,,,,,,,,,,,,,,,,, +,Rhododendron sinonuttallii,,,,,,,,,,,,,,,,,,, +,Rhododendron souliei,,,,,,,,,,,,,,,,,,, +,Rhododendron sperabiloides,,,,,,,,,,,,,,,,,,, +,Rhododendron telmateium,,,,,,,,,,,,,,,,,,, +,Rhododendron temenium,,,,,,,,,,,,,,,,,,, +,Rhododendron tenuifolium,,,,,,,,,,,,,,,,,,, +,Rhododendron thymifolium,,,,,,,,,,,,,,,,,,, +,Rhododendron traillianum,,,,,,,,,,,,,,,,,,, +,Rhododendron trichogynum,,,,,,,,,,,,,,,,,,, +,Rhododendron trichostomum,,,,,,,,,,,,,,,,,,, +,Rhododendron tubulosum,,,,,,,,,,,,,,,,,,, +,Rhododendron uniflorum,,,,,,,,,,,,,,,,,,, +,Rhododendron uvarifolium,,,,,,,,,,,,,,,,,,, +,Rhododendron vellerrum,,,,,,,,,,,,,,,,,,, +,Rhododendron venator,,,,,,,,,,,,,,,,,,, +,Rhododendron vernicosum,,,,,,,,,,,,,,,,,,, +,Rhododendron verruciferum,,,,,,,,,,,,,,,,,,, +,Rhododendron viridescens,,,,,,,,,,,,,,,,,,, +,Rhododendron viscidifolium,,,,,,,,,,,,,,,,,,, +,Rhododendron wardii,,,,,,,,,,,,,,,,,,, +,Rhododendron wasonii,,,,,,,,,,,,,,,,,,, +,Rhododendron watsonii,,,,,,,,,,,,,,,,,,, +,Rhododendron websterianum,,,,,,,,,,,,,,,,,,, +,Rhododendron xizangense,,,,,,,,,,,,,,,,,,, +,Rhododendron yungningense,,,,,,,,,,,,,,,,,,, +,Rhododendron zekoense,,,,,,,,,,,,,,,,,,, +,Rhododendron zheguense,,,,,,,,,,,,,,,,,,, +,Rhododendron zhongdianense,,,,,,,,,,,,,,,,,,, +小片菱兰,Rhomboda abbreviata,张挺,刘成,郭永杰,08CS956,20081119,云南,1534,季风常绿阔叶林林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1394265.jpg,,,,,,,,,, +小片菱兰,Rhomboda abbreviata,张寿洲,李良千等人,5070,20051216,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00058658.jpg,,,,,,,,,, +翻唇兰,Rhomboda abbreviata,曾宪锋,ZXF39733,20181002,福建,650,山谷林下,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0035011.jpg,,,,,,,,,, +,Rhomboda arunachalensis,,,,,,,,,,,,,,,,,,, +艳丽菱兰,Rhomboda moulmeinensis,融安县普查队,450224180905058LY,20180905,广西,615,阔叶林,林下,石灰土;少;野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00421724.jpg,,,,,,,,,, +艳丽齿唇兰,Rhomboda moulmeinensis,江明喜等,2020081701,20200817,湖北,,,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0208527.jpg,,,,,,,,,, +,Rhomboda moulmeinensis,"刘恩德, 邹娇, 董洪进, 肖波, 周天, 赵晨光, 陈志坚",LED9277,20191212,云南,1274,山地林中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1495449.jpg,,,,,,,,,, +,Rhomboda tokioi,,,,,,,,,,,,,,,,,,, +钩毛子草,Rhopalephora scaberrima,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11948,20161117,西藏,1024,路边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445129.jpg,,,,,,,,,, +钩毛子草,Rhopalephora scaberrima,"方鼎,黄桂兴,林刚",78366,19830919,广西壮族自治区,970,石灰山,山坡,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237489.jpg,,,,,,,,,, +钩毛子草,Rhopalephora scaberrima,曾宪锋,ZXF39094,20180919,广东,590,山谷阴湿处,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0034372.jpg,,,,,,,,,, +三俭草,Rhynchospora corymbosa,Tsang W.T.,27400,1936-12-,Tonkin,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00019242.jpg,,,,,,,,,, +三俭草,Rhynchospora corymbosa,张帆、冯思、李雄,17042004,20170420,湖南,910,山地湿地,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI071918.jpg,,,,,,,,,, +三俭草,Rhynchospora corymbosa,中越考察队,1378,19650115,谅山,40~50,水边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0372992.jpg,,,,,,,,,, +刺子莞,Rhynchospora rubra,王启无,78735,19360900,云南省 ,0~780,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0648846.jpg,,,,,,,,,, +刺子莞,Rhynchospora rubra,,2916,1924/8/8,福建; FUKIEN,1400,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00018129.jpg,,,,,,,,,, +刺子莞,Rhynchospora rubra,"王印政,彭华,邓德山等",5097,19981028,云南省,600,山地 山坡 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01486466.jpg,,,,,,,,,, +白喙刺子莞,Rhynchospora rugosa,邱燕连,QYL052,2011,福建省,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0098954.jpg,,,,,,,,,, +,Rhynchospora rugosa,S.Noshiro et al.,9810076,19980819,,2240,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950098.jpg,,,,,,,,,, +,Rhynchospora rugosa,钟明哲,2356,20080219,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089849.jpg,,,,,,,,,, +钻喙兰,Rhynchostylis retusa,孙洪范,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01720973.jpg,,,,,,,,,, +钻喙兰,Rhynchostylis retusa,张绍云,胡启和,YNS1071,20111023,云南,1183,公路边,草本,,https://image.cvh.ac.cn/files/l/KUN/1394267.jpg,,,,,,,,,, +钻喙兰,Rhynchostylis retusa,徐洲锋,赵旻骏,李富贵,上官法智,3811,20120615,云南省 ,1280,in pine forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252396.jpg,,,,,,,,,, +,Ribes glabricalycinum,,,,,,,,,,,,,,,,,,, +,Ribes humile,,,,,,,,,,,,,,,,,,, +,Ribes kialanum,,,,,,,,,,,,,,,,,,, +,Ribes pseudofasciculatum,,,,,,,,,,,,,,,,,,, +,Ribes setchuense,,,,,,,,,,,,,,,,,,, +,Ribes soulieanum,,,,,,,,,,,,,,,,,,, +,Ribes tianquanense,,,,,,,,,,,,,,,,,,, +,Ribes xizangense,,,,,,,,,,,,,,,,,,, +紫茎兰,Risleya atropurpurea,"李渤生,程树志,倪志诚",5658,19830720,西藏自治区,3600,Abies 林下时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850848.jpg,,,,,,,,,, +紫茎兰,Risleya atropurpurea,金效华,9174,20070805,云南,3385,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825382.jpg,,,,,,,,,, +紫茎兰,Risleya atropurpurea,金效华,9174,20070805,云南省,3385,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825382.jpg,,,,,,,,,, +,Robiquetia arunachalensis,,,,,,,,,,,,,,,,,,, +匙唇寄树兰,Robiquetia spathulata,Tsang Wai Tak,389,1927/8/8,海南; Hainan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00096867.jpg,,,,,,,,,, +大叶寄树兰,Robiquetia spathulata,"吉占和,肖丽萍",99633,19990614,海南省,500,林中树干上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033448.jpg,,,,,,,,,, +大叶寄树兰,Robiquetia spathulata,孙洪范,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01720985.jpg,,,,,,,,,, +寄树兰,Robiquetia succisa,龙州医药所调查队,475,19790703,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI048700.jpg,,,,,,,,,, +寄树兰,Robiquetia succisa,Tsang Wai Tak,933,1927/9/9,海南; Hainan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00096868.jpg,,,,,,,,,, +寄树兰,Robiquetia succisa,广西弄岗综考队,11359,1979-10-,广西,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00026663.jpg,,,,,,,,,, +,Rohdea aurantiaca,,,,,,,,,,,,,,,,,,, +,Rohdea delavayi,武素功,6794,19640521,云南省,2500~2700,常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02020519.jpg,,,,,,,,,, +,Rohdea delavayi,方文培,2586,19280806,四川省,1500~1633,in thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/02020518.jpg,,,,,,,,,, +,Rohdea delavayi,"Henry, Augustine",5231A,,,,,,,https://image.cvh.ac.cn/files/l/E/E00115742.jpg,,,,,,,,,, +,Rohdea eucomoides,,,,,,,,,,,,,,,,,,, +,Rohdea medogensis,,,,,,,,,,,,,,,,,,, +,Rohdea wattii,昆植地植物组,威9B,19730628,云南省,1700,常绿林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1222897.jpg,,,,,,,,,, +短脚蔷薇,Rosa calyptopoda,李文华等,H82-0199,19820612,四川省,2100,河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01651715.jpg,,,,,,,,,, +短脚蔷薇,Rosa calyptopoda,姜恕等,605,19590608,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00202420.jpg,,,,,,,,,, +短脚薔薇,Rosa calyptopoda,,2433,19590803,四川,1600,史婁山一帶均生,,無花有果,https://image.cvh.ac.cn/files/l/SM/SM707007877.jpg,,,,,,,,,, +德钦蔷薇,Rosa deqenensis,T.T.Yu,10345,19370919,云南省,2800,山箐路边丛林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01821821.jpg,,,,,,,,,, +德钦蔷薇,Rosa deqenensis,T.T.Yu,10345,19370919,云南,2800,山箐路边丛林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01821821.jpg,,,,,,,,,, +得荣蔷薇,Rosa derongensis,陈焕镛,12107,19640520,北京市,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0322227.jpg,,,,,,,,,, +得荣蔷薇,Rosa derongensis,叶德闲、张锦哲及学生,308,19550620,河南省,0~1100,,,有花无果,https://image.cvh.ac.cn/files/l/N/126071458.jpg,,,,,,,,,, +得荣蔷薇,Rosa derongensis,刘瑛,12287,19360500,河北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0322229.jpg,,,,,,,,,, +重齿蔷薇,Rosa duplicata,"李文华,胡勇",424,19810730,云南省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821303.jpg,,,,,,,,,, +重齿蔷薇,Rosa duplicata,,970,19730824,西藏自治区,3800,杨桦次生林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651492.jpg,,,,,,,,,, +重齿蔷薇,Rosa duplicata,张林、李星月、张晓严,1-260,20180616,西藏,2880,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023548.jpg,,,,,,,,,, +,Rosa farreri,"许炳强,吴兴,李婧,田恩伟",XiaNH-07zx-0055,20091024,云南省,2993,溪边杂木林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1315793.jpg,,,,,,,,,, +,Rosa farreri,胡君、王东超、李丽、唐露,SC-a-075-B2,20180808,西藏,3590,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260494.jpg,,,,,,,,,, +刺毛蔷薇,Rosa farreri,黄河调查队,2743,19560000,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00203691.jpg,,,,,,,,,, +滇边蔷薇,Rosa forrestiana,俞德俊,6705,,云南省 ,2300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0304580.jpg,,,,,,,,,, +滇边薔薇,Rosa forrestiana,康定隊,352,19800526,四川,,山野,,有花無果,https://image.cvh.ac.cn/files/l/SM/SM707007870.jpg,,,,,,,,,, +滇边蔷薇,Rosa forrestiana,H.H.Chung,1297,,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00374193.jpg,,,,,,,,,, +,Rosa graciliflora,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-026-B06,20160809,云南,,高山栎群落中,小灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609388.jpg,,,,,,,,,, +细梗蔷薇,Rosa graciliflora,刘瑛,507,19570527,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00204419.jpg,,,,,,,,,, +细梗蔷薇,Rosa graciliflora,,22,19730612,西藏自治区,3000,杂木沟?中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01833942.jpg,,,,,,,,,, +泸定蔷薇,Rosa ludingensis,,泸6887,19740603,四川省,1500,向阳路边,蔓生灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00020706.jpg,,,,,,,,,, +,Rosa ludingensis,高信芬,焦瑞芳,GaoXF17312,20200607,四川,1984,山坡灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0263456.jpg,,,,,,,,,, +七姊妹,Rosa multibracteata,程云飞,206,19830807,辽宁,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00026864.jpg,,,,,,,,,, +多苞蔷薇,Rosa multibracteata,Forrest Wilson No. 3531,16383,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00077621.jpg,,,,,,,,,, +多苞蔷薇,Rosa multibracteata,石虎,200812095,20080614,贵州省,1100,草丛,,无花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0003814.jpg,,,,,,,,,, +西南蔷薇,Rosa murielae,刘振宇,3361,19820625,重庆市,630,杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01651605.jpg,,,,,,,,,, +,Rosa murielae,"张挺,蔡杰,刘恩德,陈家辉",SCSB-B-000485,20070916,西藏自治区,3914,湖边灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1316126.jpg,,,,,,,,,, +西南蔷薇,Rosa murielae,高信芬、张羽、朱章明,13016-7,20110604,重庆,1727,山坡灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0237994.jpg,,,,,,,,,, +全针蔷薇,Rosa persetosa,陈彦生、吴振海、黎斌、孙建钊,2998,2005/6/22,陕西省,2140,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0494921.jpg,,,,,,,,,, +全针蔷薇,Rosa persetosa,Wilson,4818,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00077701.jpg,,,,,,,,,, +全针蔷薇,Rosa persetosa,C.W.Wang,68135,19350800,云南省,3200,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00203798.jpg,,,,,,,,,, +羽萼蔷薇,Rosa pinnatisepala,青藏队,13608,19830904,四川省,2300,山坡灌丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00061331.jpg,,,,,,,,,, +中甸刺玫,Rosa praelucens,Tso-Pin Wang,5953,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01682347.jpg,,,,,,,,,, +中甸刺玫,Rosa praelucens,侯学良、欣玮玮、张若鹏,371,20160729,云南,,,灌木直立,无花有果,https://image.cvh.ac.cn/files/l/AU/AU068592.jpg,,,,,,,,,, +中甸刺玫,Rosa praelucens,Forrest Forrest No. 11936,12996,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00077704.jpg,,,,,,,,,, +铁杆蔷薇,Rosa prattii,傅竟秋,70,19580815,河南省,880,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0321521.jpg,,,,,,,,,, +,Rosa prattii,A. E. Pratt,116,,,2743~4114,,,,https://image.cvh.ac.cn/files/l/HUH/GH00142044.jpg,,,,,,,,,, +铁杆蔷薇,Rosa prattii,Y.Tsiang,11533,19330000,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00363074.jpg,,,,,,,,,, +川西蔷薇,Rosa sikangensis,应俊生,3657,19600528,四川省,4150,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821820.jpg,,,,,,,,,, +川西蔷薇,Rosa sikangensis,唐宇丹等,BM015(2006-2898),20061015,西藏自治区,2641,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093635.jpg,,,,,,,,,, +川西蔷薇,Rosa sikangensis,杨竟生,7458,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0322043.jpg,,,,,,,,,, +求江蔷薇,Rosa taronensis,青藏队,3635,19740714,西藏自治区,3900,山坡灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651797.jpg,,,,,,,,,, +求江蔷薇,Rosa taronensis,T.T.Yu,8316,19370526,云南省,3200,among woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/01159436.jpg,,,,,,,,,, +求江蔷薇,Rosa taronensis,白锦荣,,20070619,云南,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00059126.jpg,,,,,,,,,, +西藏蔷薇,Rosa tibetica,,970,19730829,西藏自治区,3800,杨桦次生林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00934264.jpg,,,,,,,,,, +蔷薇属,Rosa tibetica,倪志诚 汪永泽 次多 次旦,136,19800622,西藏,3500,河谷杂木林中,,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0002965.jpg,,,,,,,,,, +维西蔷薇,Rosa weisiensis,冯国楣,4321,19400530,云南省,2300,灌丛中,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00299009.jpg,,,,,,,,,, +维西蔷薇,Rosa weisiensis,黄光中,105,19600807,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/GZTM/0017664.jpg,,,,,,,,,, +中甸蔷薇,Rosa zhongdianensis,青藏队,1819,19810705,云南省,2600,公路边山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00061316.jpg,,,,,,,,,, +中甸蔷薇,Rosa zhongdianensis,高信芬、朱章明、赵雪利、张良,12214,20100709,西藏自治区,3820,山坡灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0238164.jpg,,,,,,,,,, +中甸蔷薇,Rosa zhongdianensis,青藏队,1819,19810705,云南,2600,公路边山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1206917.jpg,,,,,,,,,, +高山象牙参,Roscoea alpina,PE西藏考察队,7792,20180624,西藏自治区,3105,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332544.jpg,,,,,,,,,, +高山象牙参,Roscoea alpina,汤宗孝,159,19820625,四川省,3360,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01595840.jpg,,,,,,,,,, +高山象牙参,Roscoea alpina,支明刚,520222150506001LY,20150506,贵州省,2626,野生植物、中温、旱生、阳性、酸性土、草丛,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0045485.jpg,,,,,,,,,, +耳叶象牙参,Roscoea auriculata,"张永田,郞楷永",4397,19660622,西藏自治区,2400,山坡 草地 石头上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075407.jpg,,,,,,,,,, +耳叶象牙参,Roscoea auriculata,王启无,70476,193506,云南省,2200,草坡溪边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/425091.jpg,,,,,,,,,, +耳叶象牙参,Roscoea auriculata,"刘成, 张挺, 亚吉东",18CS17460,20180911,西藏,2724,路边草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486853.jpg,,,,,,,,,, +,Roscoea bhutanica,,,,,,,,,,,,,,,,,,, +,Roscoea brandisii,,,,,,,,,,,,,,,,,,, +头花象牙参,Roscoea capitata,青藏队植被组,4551,19750714,西藏自治区,2500,河谷山坡乔松疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083338.jpg,,,,,,,,,, +头花象牙参,Roscoea capitata,路端正,无,20020916,西藏,2400,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00000608.jpg,,,,,,,,,, +,Roscoea capitata,P. J. M. Delavay,4491,1888-7-10,,,,,,https://image.cvh.ac.cn/files/l/NY/00320306.jpg,,,,,,,,,, +早花象牙参,Roscoea cautleoides,北京所横断山队,1083,19810624,云南省,2600~2800,芹菜坡上时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049132.jpg,,,,,,,,,, +早花象牙参,Roscoea cautleoides,D. E. Boufford et al.,42800,20100810,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896598.jpg,,,,,,,,,, +早花象牙参,Roscoea cautleoides,,2381,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00108043.jpg,,,,,,,,,, +,Roscoea debilis,"Ducloux, F.",688,1899-4,,,,,,https://image.cvh.ac.cn/files/l/P/P00686516.jpg,,,,,,,,,, +长柄象牙参,Roscoea debilis,张挺,亚吉东,李明勤,王关友,11CS3355,20110917,云南,3381,林下灌草丛,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1390995.jpg,,,,,,,,,, +长柄象牙参,Roscoea debilis,青藏队,12177,19830720,四川省,3200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/425203.jpg,,,,,,,,,, +大理象牙参,Roscoea forrestii,青藏队,73-356,19730625,西藏自治区,2800,山谷河边林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/739966.jpg,,,,,,,,,, +大理象牙参,Roscoea forrestii,,10475,19380623,湖南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/425209.jpg,,,,,,,,,, +,Roscoea forrestii,"Forrest, George",11726,13-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00063079.jpg,,,,,,,,,, +,Roscoea humeana,"Rock, Joseph Francis Charles",23852,May-32,,,,,,https://image.cvh.ac.cn/files/l/E/E00063089.jpg,,,,,,,,,, +大花象牙参,Roscoea humeana,王启无,s.n.,19350000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075511.jpg,,,,,,,,,, +大花象牙参,Roscoea humeana,俞德浚,5396,19370517,云南,2800,under pine forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/425238.jpg,,,,,,,,,, +,Roscoea megalantha,,,,,,,,,,,,,,,,,,, +无柄象牙参,Roscoea schneideriana,G.Forrest,6401,19100800,云南省,0,In mixed forests,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0764982.jpg,,,,,,,,,, +无柄象牙参,Roscoea schneideriana,夏光成,820,19601005,西藏自治区,0,山野阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/425385.jpg,,,,,,,,,, +无柄象牙参,Roscoea schneideriana,张挺,郭永杰,刘成等,10CS2274,20100807,云南,2710,"NE-facing slope with Pinus yunnanensis, Origanum, Senecio, Artemisia, Potentilla, Cyanoglossum, Cyperus and grasses. Growing in shade under Pinus yunnanensis.",,,https://image.cvh.ac.cn/files/l/KUN/1390997.jpg,,,,,,,,,, +绵枣象牙参,Roscoea scillifolia,胡考农,20520,19790805,四川省,0~3840,草地中,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0764991.jpg,,,,,,,,,, +,Roscoea scillifolia,"Delavay, J.M.",2685,1887-6-14,,,,,,https://image.cvh.ac.cn/files/l/P/P00686520.jpg,,,,,,,,,, +绵枣象牙参,Roscoea scillifolia,郭永杰,刘成,15CS10416,20150818,云南,2945,石灰岩灌丛山坡,,,https://image.cvh.ac.cn/files/l/KUN/1390998.jpg,,,,,,,,,, +藏象牙参,Roscoea tibetica,俞德浚,6861,0,四川,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/425477.jpg,,,,,,,,,, +藏象牙参,Roscoea tibetica,俞德浚,6884,0,西藏,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/425489.jpg,,,,,,,,,, +,Roscoea tibetica,"D.E.Boufford,L.Y.Chen,X.H.Li,J.R.Shevock et J.P.Yu",42719,20100808,四川省,3535,In meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307891.jpg,,,,,,,,,, +苍白象牙参,Roscoea wardii,李庆军,86002,19860730,云南省,3600,栎(黄栎)林下草地,,,https://image.cvh.ac.cn/files/l/KUN/1268455.jpg,,,,,,,,,, +红花茜草,Rubia haematantha,四川植被调查队,2092,19730711,四川省,2840,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0509431.jpg,,,,,,,,,, +红花茜草,Rubia haematantha,北京队,621,19880531,湖南省,,常绿阔叶林溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01319624.jpg,,,,,,,,,, +红花茜草,Rubia haematantha,G.Forrest,13055,19140000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00838441.jpg,,,,,,,,,, +,Rubia latipetala,,,,,,,,,,,,,,,,,,, +,Rubia pallida,"Forrest, George",40,4-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00327955.jpg,,,,,,,,,, +浅色茜草,Rubia pallida,C. W. Wang,20307,1935/09/,云南,2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0045842.jpg,,,,,,,,,, +浅色茜草,Rubia pallida,秦仁昌,20824,19390706,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0509557.jpg,,,,,,,,,, +多脉茜草,Rubia polyphlebia,王清泉,21558,19790812,四川省,2330,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0509690.jpg,,,,,,,,,, +翅茎茜草,Rubia pterygocaulis,罗献瑞,1747,1981、6,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0017449.jpg,,,,,,,,,, +柳叶茜草,Rubia salicifolia,刘照光,4584,1974、6、19,四川省,2000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0017445.jpg,,,,,,,,,, +柳叶茜草,Rubia salicifolia,张帆、冯思、温兆捷,17092202,20170922,湖南,1210,山坡常绿阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI068219.jpg,,,,,,,,,, +纤梗茜草,Rubia tenuis,胡文光,10324,19510711,四川省,,路旁山坡,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0307337.jpg,,,,,,,,,, +,Rubia tenuis,,,19630700,云南省,,,草本,,https://image.cvh.ac.cn/files/l/HITBC/0003162.jpg,,,,,,,,,, +毛果茜草,Rubia trichocarpa,何铸、周子林,13651,19520000,四川省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0282404.jpg,,,,,,,,,, +,Rubia trichocarpa,胡君、王东超、李丽、唐露,SC-a-040-B24,20180708,四川,,高山栎群落中,草质攀援藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609664.jpg,,,,,,,,,, +毛果茜草,Rubia trichocarpa,刘飞,522428141105222 LY,20141103,贵州省,1986.9,野生植物、中生、阳性、阔叶林、沙土、中温,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0061538.jpg,,,,,,,,,, +狭苞悬钩子,Rubus angustibracteatus,白水江采集队,2063,20060714,甘肃省,1500,山沟林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01857607.jpg,,,,,,,,,, +狭苞悬钩子,Rubus angustibracteatus,宋滋圃,39295,19540729,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00934269.jpg,,,,,,,,,, +狭苞悬钩子,Rubus angustibracteatus,雅安队,,19780711,四川,1500,山林,藤本,无花有果,https://image.cvh.ac.cn/files/l/SM/SM707005190.jpg,,,,,,,,,, +藏南悬钩子,Rubus austrotibetanus,PE西藏队,PE6531,20170912,西藏自治区,3588,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330056.jpg,,,,,,,,,, +藏南悬钩子,Rubus austrotibetanus,税玉民,2868,19930721,云南省,2960,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01821716.jpg,,,,,,,,,, +藏南悬钩子,Rubus austrotibetanus,白洪兵、和仕波,533324180819376LY,20180819,云南,3081,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009454.jpg,,,,,,,,,, +红果悬钩子,Rubus erythrocarpus,川黔队,140,19560422,重庆市,760,山地 山坡 阳处疏密林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02083939.jpg,,,,,,,,,, +红果悬钩子,Rubus erythrocarpus,中越考察队,1968,19650207,,1000~1100,常绿阔叶林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00169614.jpg,,,,,,,,,, +红果悬钩子,Rubus erythrocarpus,黄体冉,HTR0168,20180724,云南,3627,冷杉箭竹林混生,,无花有果,https://image.cvh.ac.cn/files/l/BNU/0056121.jpg,,,,,,,,,, +无刺贡山悬钩子,Rubus gongshanensis,T.T.Yu,20838,19381022,云南省,3500,among thickets on open slop shrubs,,有花无果,https://image.cvh.ac.cn/files/l/PE/01790017.jpg,,,,,,,,,, +贡山悬钩子,Rubus gongshanensis,李红、白洪兵,533324180903662LY,20180903,云南,2792,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009303.jpg,,,,,,,,,, +,Rubus gongshanensis,T. T. Yu,20838,1938/10/22,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00133093.jpg,,,,,,,,,, +,Rubus hemithyrsus,"Forrest, George",18348,19-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00010601.jpg,,,,,,,,,, +半锥莓,Rubus hemithyrsus,"刘恩德,方伟,徐洲锋,上官法智,常学科,席辉辉,李云,廖鸿艳,李成清",4140,20150627,云南省,2300,upon tree along stream,,,https://image.cvh.ac.cn/files/l/KUN/1268830.jpg,,,,,,,,,, +半锥莓,Rubus hemithyrsus,,,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076413.jpg,,,,,,,,,, +汉密悬钩子,Rubus hypopitys,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,922,20121017,西藏,,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/BJM/0230478.jpg,,,,,,,,,, +,Rubus hypopitys,"Forrest, George",1908,6-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00010607.jpg,,,,,,,,,, +滇藏悬钩子,Rubus hypopitys,武素功,7081,19640607,云南省,2900,山坡松林下灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/710998.jpg,,,,,,,,,, +黄色悬钩子,Rubus lutescens,Soulie,,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00075918.jpg,,,,,,,,,, +悬钩子,Rubus lutescens,苏亚琼,1418039,20150701,山西,,,,有花有果,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0003167.jpg,,,,,,,,,, +黄色悬钩子,Rubus lutescens,,76-98,19760702,西藏自治区,4200,火烧迹地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832285.jpg,,,,,,,,,, +墨脱悬钩子,Rubus metoensis,青藏队 植被组,3236,19740916,西藏自治区,,,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00020768.jpg,,,,,,,,,, +墨脱悬钩子,Rubus metoensis,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,919,20121017,西藏,,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/BJM/0230476.jpg,,,,,,,,,, +聂拉木悬钩子,Rubus nyalamensis,"张书东,何华杰",81174,20080916,西藏自治区,2720,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902167.jpg,,,,,,,,,, +聂拉木悬钩子,Rubus nyalamensis,路端正,,20020916,西藏,2400,,,有花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00027185.jpg,,,,,,,,,, +宝兴悬钩子,Rubus ourosepalus,曲桂齡,3019,19360629,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00252899.jpg,,,,,,,,,, +,Rubus ourosepalus,"Chu, K.L.",3019,29-Jun-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00143107.jpg,,,,,,,,,, +多齿悬钩子,Rubus polyodontus,H.T.Tsai,58410,19340908,云南省 ,3200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0341384.jpg,,,,,,,,,, +多齿悬钩子,Rubus polyodontus,青藏队,8383,19820722,云南省,2700,Tsuga林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01159664.jpg,,,,,,,,,, +多齿悬钩子,Rubus polyodontus,G. Forrest,15838,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076061.jpg,,,,,,,,,, +,Rubus pseudopileatus,"Farges, P.G.",508,,,,,,,https://image.cvh.ac.cn/files/l/P/P00755310.jpg,,,,,,,,,, +,Rubus pseudopileatus,彭玉兰、涂卫国、余春丽,Gaoxf613,20080820,四川,3000,高山草甸,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0237566.jpg,,,,,,,,,, +假帽莓,Rubus pseudopileatus,王作宾,15821,19520719,陕西省,1800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0341402.jpg,,,,,,,,,, +毛果悬钩子,Rubus ptilocarpus,云阳队,500235130527-246LY01,20130527,重庆,1543,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0069644.jpg,,,,,,,,,, +毛果悬钩子,Rubus ptilocarpus,王为义等,26762,19830729,青海省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0229436.jpg,,,,,,,,,, +毛果悬钩子,Rubus ptilocarpus,H.T.Tsai,51036,19320617,云南省,2300,climbering on rock.,woody climber.,无花有果,https://image.cvh.ac.cn/files/l/PE/00316065.jpg,,,,,,,,,, +直立悬钩子,Rubus stans,George Forrest,30724,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833112.jpg,,,,,,,,,, +莓,Rubus stans,无,840033,19840907,江西,500,山地山脚沟边,藤本,有花无果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0008438.jpg,,,,,,,,,, +直立悬钩子,Rubus stans,青藏队横断山队,3745,19810803,四川省,4900,冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01159699.jpg,,,,,,,,,, +华西悬钩子,Rubus stimulans,"蔡杰, 刘恩德, 郭永杰",13CS7644,20130530,西藏,,河谷公路边,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1395184.jpg,,,,,,,,,, +华西悬钩子,Rubus stimulans,R.P.Maire,,19210810,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1233071.jpg,,,,,,,,,, +华西悬钩子,Rubus stimulans,倪志诚,73-490,19730629,西藏自治区,3880,山坡路边阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00317257.jpg,,,,,,,,,, +紫红悬钩子,Rubus subinopertus,路端正,,20020901,西藏,3500,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00026448.jpg,,,,,,,,,, +紫红悬钩子,Rubus subinopertus,"J.I.Jeon,H.S.Lee,H.J.Eom, Y.J.Park et B.Liu",SI1414,20100811,四川省,2745,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01993988.jpg,,,,,,,,,, +紫红悬钩子,Rubus subinopertus,H.T.Tsai,50811,19320409,云南省 ,460,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0342137.jpg,,,,,,,,,, +,Rubus taronensis,T. T. Yu,19491,1938/7/27,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00133119.jpg,,,,,,,,,, +独龙悬钩子,Rubus taronensis,"郭永杰, 吴志坤, 吴兴, 王宇萍, 李志军",14CS9871,20141109,云南,,江边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395187.jpg,,,,,,,,,, +,Rubus taronensis,高信芬、涂卫国、何海、乔永康,7853,20030923,西藏自治区,2000,林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190691.jpg,,,,,,,,,, +三对叶悬钩子,Rubus trijugus,黄体冉,HTR0137,20180714,西藏,3087,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0056216.jpg,,,,,,,,,, +三对叶悬钩子,Rubus trijugus,,,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076261.jpg,,,,,,,,,, +三对叶悬钩子,Rubus trijugus,C.W.Wang,70711,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0342599.jpg,,,,,,,,,, +,Saccolabiopsis pusilla,,,,,,,,,,,,,,,,,,, +,Sageretia horrida,王启无,65416,19350800,云南省 ,2000,rook crevice,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0450787.jpg,,,,,,,,,, +凹叶雀梅藤,Sageretia horrida,"于胜祥,候元同等",5135,20110809,四川省,,沿途路旁山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003567.jpg,,,,,,,,,, +凹叶雀梅藤,Sageretia horrida,"于胜祥,候元同等",5240,20110811,西藏自治区,3856,沿途路旁山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003556.jpg,,,,,,,,,, +冠果草,Sagittaria guayanensis subsp. lappula,陈少卿,8310,19530605,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00135922.jpg,,,,,,,,,, +冠果草,Sagittaria guayanensis subsp. lappula,裴盛基,9546,19590815,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/048095.jpg,,,,,,,,,, +冠果草,Sagittaria guayanensis subsp. lappula,李中提,覃灏富,70509,19570702,,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00135932.jpg,,,,,,,,,, +矮慈姑,Sagittaria pygmaea,"Lau,S.K.",2561,1933-10-,广东; Guangdong,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00000104.jpg,,,,,,,,,, +矮慈姑,Sagittaria pygmaea,裴盛基,59-9545,19590825,云南省,650,水田中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0330455.jpg,,,,,,,,,, +矮慈姑,Sagittaria pygmaea,H.H.Chung,6515,1926/7/7,福建; Fujian,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00000103.jpg,,,,,,,,,, +藤冲慈姑,Sagittaria tengtsungensis,T.T.Yu,19189,19380626,云南省,1750,Margin of swamp,,无花无果,https://image.cvh.ac.cn/files/l/PE/01482561.jpg,,,,,,,,,, +腾冲慈姑,Sagittaria tengtsungensis,李永江,821,1985-6 2,四川省,2200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0152148.jpg,,,,,,,,,, +腾冲慈姑,Sagittaria tengtsungensis,刘景欣,728,20090924,云南,676,水稻田,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029641.jpg,,,,,,,,,, +野慈姑,Sagittaria trifolia,张少华,张诏,程丹丹,辛晓伟,史冉冉,郭雷,高丽丽,lilan686,20131005,山东,60,温带湿地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390269.jpg,,,,,,,,,, +三裂慈菇,Sagittaria trifolia,杜桂娟、马凤江、杨姝等,FS-P001-83,20150725,辽宁省抚顺市,215.5,平原,半阳坡,坡下部,,有花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF008303.jpg,,,,,,,,,, +野慈姑,Sagittaria trifolia,农田杂草调查组,251,19700704,河南省,,水田,,无花无果,https://image.cvh.ac.cn/files/l/PE/01606357.jpg,,,,,,,,,, +,Salacistis fumata,,,,,,,,,,,,,,,,,,, +,Salacistis rubicunda,,,,,,,,,,,,,,,,,,, +九鼎柳,Salix amphibola,西北师范学院博物系,77,19500000,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00704553.jpg,,,,,,,,,, +九鼎柳,Salix amphibola,,2016063005,20160630,,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00091191.jpg,,,,,,,,,, +九鼎柳,Salix amphibola,Y.Y.Pai,2109,19350617,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0075022.jpg,,,,,,,,,, +,Salix annulifera,H.H.Chung,,19170915,,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/036470.jpg,,,,,,,,,, +环纹矮柳,Salix annulifera,杭州植物园,1928,1958/3/19,浙江省,,,小乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0179200.jpg,,,,,,,,,, +柳属,Salix annulifera,倪志诚,汪永泽,次多、次旦,1485,19800906,西藏,3800,山坡灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0000643.jpg,,,,,,,,,, +银光柳,Salix argyrophegga,,10099,,,,,,无花有果,https://image.cvh.ac.cn/files/l/TIE/00002879.jpg,,,,,,,,,, +银光柳,Salix argyrophegga,黄荣福,CG-89-638,19891009,西藏自治区,4400,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/155311.jpg,,,,,,,,,, +银光柳,Salix argyrophegga,邢吉庆,3103,19590604,陕西省,1950,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0346855.jpg,,,,,,,,,, +银毛果柳,Salix argyrotrichocarpa,李文华等,76-371,19760717,西藏自治区,3900,冰川,,有花有果,https://image.cvh.ac.cn/files/l/PE/00704829.jpg,,,,,,,,,, +奇花柳,Salix atopantha,洮河队,3423,1957/6/17,甘肃,2900,,灌木直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0091570.jpg,,,,,,,,,, +奇花柳,Salix atopantha,,35702,19050510,重庆,,,,有花无果,https://image.cvh.ac.cn/files/l/BJM/0161141.jpg,,,,,,,,,, +奇花柳,Salix atopantha,不祥,B0234,19570625,陕西省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/92464.jpg,,,,,,,,,, +藏南柳,Salix austrotibetica,C.W.Wang,64872,19350708,云南省,3000,stream side,,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0034759.jpg,,,,,,,,,, +藏南柳,Salix austrotibetica,C.W.Wang,64956,19350305,云南省 ,3500,grassy slope,prostrate,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0034727.jpg,,,,,,,,,, +藏南柳,Salix austrotibetica,何理、廖帅,PH2012082701,20120827,西藏自治区,3580,,灌木,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00088579.jpg,,,,,,,,,, +白背柳,Salix balfouriana,王庆瑞,不详,19890430,甘肃省,2100,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/03303999w0122.jpg,,,,,,,,,, +白背柳,Salix balfouriana,,22908,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0523574.jpg,,,,,,,,,, +白背柳,Salix balfouriana,四川省植被调查队,乡2722,19730623,四川省,3900,公路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057458.jpg,,,,,,,,,, +班公柳,Salix bangongensis,何理 尚策 阮勇强,20110802-2,20110802,西藏,,灌丛,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00084705.jpg,,,,,,,,,, +班公柳,Salix bangongensis,赵士洞,2934,19840423,,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/03303999y0033.jpg,,,,,,,,,, +班公柳,Salix bangongensis,生物研究所西藏考察队,3638,19740712,西藏自治区,4600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/40483.jpg,,,,,,,,,, +小垫柳,Salix brachista,谢朝俊,39932,1955/4/18,西康,2500,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0175999.jpg,,,,,,,,,, +小垫柳,Salix brachista,白龙江考察队,1737,19990602,甘肃省,2900,坡地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01560901.jpg,,,,,,,,,, +小垫柳,Salix brachista,T.T.Yu,6471,,云南省 ,3900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0346994.jpg,,,,,,,,,, +栅枝垫柳,Salix clathrata,青藏队,74-2742,19741002,西藏自治区,4260,沼泽化草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00720488.jpg,,,,,,,,,, +栅枝垫柳,Salix clathrata,张大才等,XLH-2-1-2,20170728,四川,4015,沼泽化草甸,垫状灌木,无花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0011388.jpg,,,,,,,,,, +栅枝垫柳,Salix clathrata,T.T.Yu,5640,19370523,四川省,4200,mt.slope open place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00720480.jpg,,,,,,,,,, +怒江矮柳,Salix coggygria,生态室高原组,10304,19800624,西藏自治区,3800,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490863.jpg,,,,,,,,,, +柳属,Salix coggygria,西藏生物所植物资源队,3604,19830817,西藏,2950,河谷流水沟边,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0000580.jpg,,,,,,,,,, +,Salix coggygria,H. R. E. Handel-Mazzetti,9295,1916/7/4,,3500~3950,,,,https://image.cvh.ac.cn/files/l/HUH/A00441085.jpg,,,,,,,,,, +,Salix contortiapiculata,,,,,,,,,,,,,,,,,,, +锯齿叶垫柳,Salix crenata,高山检测团队,MJW-67,20061008,云南,4354,高山流石滩,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008368.jpg,,,,,,,,,, +锯齿叶垫柳,Salix crenata,北京所横断山队,3630,19810824,云南省,4150~4400,高山灌丛草甸带固定流石滩 局部占优势,,无花无果,https://image.cvh.ac.cn/files/l/PE/01057520.jpg,,,,,,,,,, +锯齿叶垫柳,Salix crenata,俞德浚,19383,19390000,云南省 ,0,,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0526498.jpg,,,,,,,,,, +光果乌柳,Salix cyanolimnea,何理 毛星星,PH2012062301,20120623,四川省,857,白水河边,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00090366.jpg,,,,,,,,,, +光果乌柳,Salix cyanolimnea,彭玉兰、张君议、杨焰,THP-KD-4217,20170712,四川,3349-3382,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241590.jpg,,,,,,,,,, +节枝柳,Salix dalungensis,傅国勋,490,19600802,西藏自治区,4400,山脚、水沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00720775.jpg,,,,,,,,,, +,Salix dalungensis,高信芬、涂卫国、何海、乔永康,6753,20030831,西藏,4370,高山灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189719.jpg,,,,,,,,,, +腹毛柳,Salix delavayana,汤庚国,1513,19890705,西藏,4000,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/NF/NF2018676.jpg,,,,,,,,,, +腹毛柳,Salix delavayana,李洪钧,6590,19580000,湖北省,1580,山坡希灌木中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00720792.jpg,,,,,,,,,, +腹毛柳,Salix delavayana,余岩、李娟,2020777,20200716,四川,3622,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02020777.jpg,,,,,,,,,, +异色柳,Salix dibapha,"赵士洞,陈庆恒",826,19730531,四川省,4250,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/00721010.jpg,,,,,,,,,, +异色柳,Salix dibapha,"应俊生,洪德元",650050,19650504,西藏自治区,2680,泥石流砂石滩上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00720974.jpg,,,,,,,,,, +异色柳,Salix dibapha,滇西北分队,10499,19600705,云南省 ,3600,亚高山,杂草丛中,次生山谷,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0524296.jpg,,,,,,,,,, +异型柳,Salix dissa,邓世纬,90022,19360412,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00077743.jpg,,,,,,,,,, +异型柳,Salix dissa,戴天伦,100102,19580418,重庆市,1300,乔木林中与松树靠近,,有花无果,https://image.cvh.ac.cn/files/l/PE/00721027.jpg,,,,,,,,,, +异型柳,Salix dissa,邢吉庆,4428,19590601,陕西省,200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0347325.jpg,,,,,,,,,, +叉柱柳,Salix divergentistyla,青藏队横断山队,3948,19810809,四川省,3850,山沟内 阴湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057568.jpg,,,,,,,,,, +叉柱柳,Salix divergentistyla,"李文华 韩裕丰 桑杰/Li Wen-hua,Han Yu-feng & Sang Jie",854,19730814,西藏自治区,3400,潮湿山谷,小乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00721313.jpg,,,,,,,,,, +叉柱柳,Salix divergentistyla,杨永昌,83,19640616,青海省,4300,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/0222642.jpg,,,,,,,,,, +林柳,Salix driophila,张林、李星月、张晓严,1-443,20180621,西藏,3954,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023893.jpg,,,,,,,,,, +林柳,Salix driophila,"应俊生,洪德元",650051,19650504,西藏自治区,2680,泥石流砂石滩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00721121.jpg,,,,,,,,,, +林柳,Salix driophila,,40158,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00721114.jpg,,,,,,,,,, +银背柳 ,Salix ernestii,方振富 赵士栋,509,19730425,云南省 ,3800,林缘,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0296199.jpg,,,,,,,,,, +,Salix ernestii,"Wilson, Ernest Henry",2151,8-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00301614.jpg,,,,,,,,,, +银背柳,Salix ernestii,,598,19790626,四川,3300,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM701500389.jpg,,,,,,,,,, +藏匐柳,Salix faxonianoides,北京所横断山队,1005,19810622,云南省,3700,高山 灌丛中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01518324.jpg,,,,,,,,,, +藏匐柳,Salix faxonianoides,T.T.Yu,8835,19370710,云南省 ,3910,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0347522.jpg,,,,,,,,,, +藏匐柳,Salix faxonianoides,徐旺荣,23485,1980-9 1,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0010647.jpg,,,,,,,,,, +贡山柳,Salix fengiana,北京所横断山队,2679,19810805,云南省,2900,云南松林缘 路边 时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518327.jpg,,,,,,,,,, +,Salix fengiana,兰国华,LiuRL060,20111018,江西省,1365,次生阔叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1325796.jpg,,,,,,,,,, +贡山柳,Salix fengiana,何理,廖帅、尚策,PH2012080210,20120802,云南,3653,山谷河边,灌木2m,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00088683.jpg,,,,,,,,,, +光果从毛矮柳,Salix floccosa,T.T. Yü (俞德浚),8833,19370711,云南,3900,open slope,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1208253.jpg,,,,,,,,,, +丛毛矮柳,Salix floccosa,北京所横断山队,3804,19810825,云南省,3600~3800,冷杉林缘 河边 灌丛草坡时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518330.jpg,,,,,,,,,, +丛毛矮柳,Salix floccosa,,20767,19600916,四川,4000,灌木丛中,灌木,有花有果,https://image.cvh.ac.cn/files/l/SM/SM701500173.jpg,,,,,,,,,, +吉拉柳,Salix gilashanica,何理,阮勇强,尚策,110728-09,20110728,西藏,4097,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00088249.jpg,,,,,,,,,, +吉拉柳,Salix gilashanica,青藏队,14754,19830912,四川省,4000,灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057591.jpg,,,,,,,,,, +吉拉柳,Salix gilashanica,PE西藏队,PE6844,20170917,西藏自治区,3971,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293839.jpg,,,,,,,,,, +,Salix glareorum,,,,,,,,,,,,,,,,,,, +细序柳,Salix guebriantiana,谢朝俊,39938,19550418,四川省,2500,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0175852.jpg,,,,,,,,,, +细序柳,Salix guebriantiana,杨文光,DT6634,20190421,四川,650,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512852.jpg,,,,,,,,,, +江达柳,Salix gyamdaensis,郎楷永 李良千等,2641,19830802,四川省,4200,河边灌丛优势种,,有花无果,https://image.cvh.ac.cn/files/l/PE/00721920.jpg,,,,,,,,,, +江达柳,Salix gyamdaensis,"张大才, 李双智, 罗康, 梁群",SunH-07ZX-0656,20080725,西藏,,灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1325802.jpg,,,,,,,,,, +江达柳,Salix gyamdaensis,青藏队,10468,19820918,西藏自治区,3500,山坡 云杉 林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057592.jpg,,,,,,,,,, +吉隆垫柳,Salix gyirongensis,溥发鼎、曹亚玲,2940,1989-8 1,贵州省,900,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0062229.jpg,,,,,,,,,, +吉隆垫柳,Salix gyirongensis,余奇、周晓雪、黎怀成,THP-KD-4557,20170716,四川,3768~4074,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243385.jpg,,,,,,,,,, +吉隆垫柳,Salix gyirongensis,刘照光,4454,1974-6 4,四川省,4500,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0010692.jpg,,,,,,,,,, +黑水柳,Salix heishuiensis,"张秀实,任有铣",4635,19580517,四川省,1800,林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00742158.jpg,,,,,,,,,, +黑水柳,Salix heishuiensis,洮河队,3246,19570527,甘肃省,2540,,灌木直立,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00280078.jpg,,,,,,,,,, +黑水柳,Salix heishuiensis,彭玉兰、余奇、李林霖,THP-KD-1571,20170620,四川,3768~4150,,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255362.jpg,,,,,,,,,, +毛枝垫柳,Salix hirticaulis,郭本兆,5270,1964/7/1,甘肃,3600,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0231765.jpg,,,,,,,,,, +毛枝垫柳,Salix hirticaulis,谢朝俊,39590,19550000,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0347718.jpg,,,,,,,,,, +毛枝垫柳,Salix hirticaulis,冯国楣,7679,19400410,云南省,3500~3700,岩坡上,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0524793.jpg,,,,,,,,,, +,Salix jinchuanica,"张秀实,任有铣",6541,19580813,四川省,4200,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636155.jpg,,,,,,,,,, +金川柳,Salix jinchuanica,高信芬,鞠文彬,郑臣臣,THP-KD-5746,20170809,四川,4427,草地灌丛,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244249.jpg,,,,,,,,,, +,Salix jishiensis,孙学刚等,20010001,20010520,甘肃省,2400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800899.jpg,,,,,,,,,, +贵南柳,Salix juparica,"郭本兆,王为义",11498,19750719,青海省,3400,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636159.jpg,,,,,,,,,, +贵南柳,Salix juparica,T.P. Wang,6970,1937/7/3,甘肃,2800,,shrub,有花无果,https://image.cvh.ac.cn/files/l/WUK/0032216.jpg,,,,,,,,,, +贵南柳,Salix juparica,张泽云周洪福,23790,1957/8/15,四川省,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0242021.jpg,,,,,,,,,, +卡马垫柳,Salix kamanica,陈伟烈,15173,19800924,西藏自治区,3900,灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490828.jpg,,,,,,,,,, +卡马垫柳,Salix kamanica,俞德俊,19857,19380810,云南省,3900,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00636170.jpg,,,,,,,,,, +卡马垫柳,Salix kamanica,王新光,282,19590614,江苏省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/056027338.jpg,,,,,,,,,, +康定垫柳,Salix kangdingensis,曲桂齡,7134,,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00636174.jpg,,,,,,,,,, +康定垫柳,Salix kangdingensis,青藏队,1103,19810615,云南省,0,流石滩上,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0526477.jpg,,,,,,,,,, +康巴柳,Salix kongbanica,钟补求,6107,19530811,西藏自治区,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00636577.jpg,,,,,,,,,, +,Salix kungmuensis,,,,,,,,,,,,,,,,,,, +白毛柳,Salix lanifera,"方振富,赵土洞",680,19730519,四川省,3800,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636345.jpg,,,,,,,,,, +白毛柳,Salix lanifera,西藏考察队,65,19730526,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/83188.jpg,,,,,,,,,, +毛柄柳,Salix lasiopes,西藏综考队,2414,19610521,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636358.jpg,,,,,,,,,, +黑皮柳,Salix limprichtii,唐亚、石培礼、何永华,1127,1994-6 2,四川省,3950,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0010802.jpg,,,,,,,,,, +,Salix limprichtii,H. W. Limpricht,1317,1914/4/25,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00055953.jpg,,,,,,,,,, +长蕊柳,Salix longistamina,傅国勋 张经纬,16,19600508,西藏自治区,3758,栽培,小乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/00636580.jpg,,,,,,,,,, +长蕊柳,Salix longistamina,王新光,5,19590421,四川省,0~660,,,有花无果,https://image.cvh.ac.cn/files/l/N/056027344.jpg,,,,,,,,,, +长蕊柳,Salix longistamina,朱鑫鑫,王君,王美华,林庶,许敏,多吉,ZXX20368,20200615,西藏,3626,荒地上,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1507593.jpg,,,,,,,,,, +,Salix ludingensis,郎楷永 李良千 费勇,287,19820628,四川省,3600,河边石上常见,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/01057641.jpg,,,,,,,,,, +灌西柳,Salix macroblasta,张志英,5477,1959/6/20,甘肃,2250,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0367976.jpg,,,,,,,,,, +灌西柳,Salix macroblasta,何理,廖帅,尚策,PH2012061003,20120610,四川,3175,山坡,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/00088475.jpg,,,,,,,,,, +灌西柳,Salix macroblasta,H.H.Chung,s.n.,19170825,,,Cult.,,无花无果,https://image.cvh.ac.cn/files/l/PE/01660567.jpg,,,,,,,,,, +,Salix maerkangensis,李馨,77152,19580417,四川省,2500,"阴山,山腰",,无花有果,https://image.cvh.ac.cn/files/l/PE/00637048.jpg,,,,,,,,,, +簇毛柳,Salix maerkangensis,何理、廖帅、尚策,PH2012061201,20120612,四川,3092,,灌木,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00088619.jpg,,,,,,,,,, +大叶柳,Salix magnifica,付沛云、陈佑安、黄云晖、张玉良,1900,19630611,内蒙古自治区,,河汉化上,灌木,,https://image.cvh.ac.cn/files/l/IBK/IBK00326411.jpg,,,,,,,,,, +大叶柳,Salix magnifica,邢吉庆,4179,19590601,陕西省,1680,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00051258.jpg,,,,,,,,,, +大叶柳,Salix magnifica,C.S.Chang et al.,SI1043,20100703,四川省,2588,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900366.jpg,,,,,,,,,, +柳属,Salix maizhokunggarensis,西藏生物所植物资源队,3906,19830902,西藏,3800,河边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0000562.jpg,,,,,,,,,, +墨竹柳,Salix maizhokunggarensis,应俊生,4208,19600629,四川省,3800,疏林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00637097.jpg,,,,,,,,,, +墨竹柳,Salix maizhokunggarensis,于兆英等,1234,19730720,云南省,4500,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00637098.jpg,,,,,,,,,, +墨脱柳,Salix medogensis,白洪兵、李红,533324180827460LY,20180827,云南,2876,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009771.jpg,,,,,,,,,, +墨脱柳,Salix medogensis,C.W.Wang,66496,19350000,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0348142.jpg,,,,,,,,,, +墨脱柳,Salix medogensis,T.T.Yu,11837,19380628,云南省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0348145.jpg,,,,,,,,,, +,Salix microphyta,"David, A.",,1869-6,,,,,,https://image.cvh.ac.cn/files/l/P/P00761071.jpg,,,,,,,,,, +宝兴矮柳,Salix microphyta,汤庚国 宋祥后,163,19800503,湖北,1450,山坡,小灌木,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2018960.jpg,,,,,,,,,, +宝兴矮柳,Salix microphyta,宝兴队,684,19780710,四川,,草坡、草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM701500405.jpg,,,,,,,,,, +岷江柳,Salix minjiangensis,黄河队,3177,19570601,甘肃省,2600,山坡阴处疏林,灌木直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0091576.jpg,,,,,,,,,, +岷江柳,Salix minjiangensis,张鸿昌,84171,198406??,青海省,2470,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/0210020.jpg,,,,,,,,,, +木里柳,Salix muliensis,"赵士洞,方振富",949,19730608,四川省,4000,"山脚,阳坡",,无花有果,https://image.cvh.ac.cn/files/l/PE/00637933.jpg,,,,,,,,,, +木里柳,Salix muliensis,Albert N. Steward et al.,527,19311003,贵州省,2100,exposed rocky ridge,,无花无果,https://image.cvh.ac.cn/files/l/PE/00637715.jpg,,,,,,,,,, +木里柳,Salix muliensis,张志英,31,19581108,陕西省,1750,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0525389.jpg,,,,,,,,,, +,Salix neoamnematchinensis,青海铁卜加草原改良站,72073,19720800,青海省,,阴坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00637925.jpg,,,,,,,,,, +新山生柳,Salix neoamnematchinensis,郭先林、李子宣,2038988,20200709,四川,4622,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02038988.jpg,,,,,,,,,, +新山生柳,Salix neoamnematchinensis,"朱鑫鑫,安宇梦",ZXX18111,20180615,青海,3096,高原亚寒带高山草甸,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1438320.jpg,,,,,,,,,, +,Salix nujiangensis,青藏队,8793,19820726,云南省,3000,山坡 Tsuga林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01057675.jpg,,,,,,,,,, +怒江柳,Salix nujiangensis,T.Naito. et al.,862,19860512,西藏自治区,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00637931.jpg,,,,,,,,,, +华西柳,Salix occidentalisinensis,,2371,19590606,四川,~1930,山腰 阳坡的杂灌中,,无花有果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0090128.jpg,,,,,,,,,, +华西柳,Salix occidentalisinensis,何理,阮勇强,尚策,11-0239,20110520,西藏,4860,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00090269.jpg,,,,,,,,,, +华西柳,Salix occidentalisinensis,何理 阮勇强 尚策,11-0228,20110518,青海省,4234,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00090270.jpg,,,,,,,,,, +,Salix ochetophylla,F. T. Wang bis,20935,1930/5/26,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00055964.jpg,,,,,,,,,, +汶川柳,Salix ochetophylla,林芹,孙航,俞宏渊,771709,19850604,云南省,2950,山沟中,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0525468.jpg,,,,,,,,,, +汶川柳,Salix ochetophylla,赵士栋陈庆恒,856,1973/5/31,四川,4250,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0296193.jpg,,,,,,,,,, +柳属,Salix opsimantha,倪志诚 次多 次旦,3000,19820819,西藏,4000,高山灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0000613.jpg,,,,,,,,,, +迟花柳,Salix opsimantha,秦岭队,1070,19590930,陕西省,3150,山坡 半阳处 密林下 野生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01609235.jpg,,,,,,,,,, +迟花柳,Salix opsimantha,青藏队,2215,19810708,云南省,2900~3000,华山松林,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057688.jpg,,,,,,,,,, +迟花矮柳,Salix oreinoma,,s.n.,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00732018.jpg,,,,,,,,,, +迟花矮柳,Salix oreinoma,,24604,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0348272.jpg,,,,,,,,,, +迟花矮柳,Salix oreinoma,北京所横断山队,3750,19810825,云南省,3600~3800,冷杉林内 灌丛 草甸时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518349.jpg,,,,,,,,,, +山生柳,Salix oritrepha,Y.Y.Pai,2465,1935/8/6,四川,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0075549.jpg,,,,,,,,,, +山生柳,Salix oritrepha,赵士洞等,1240,19730720,云南省,4300~4500,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00732196.jpg,,,,,,,,,, +山生柳,Salix oritrepha,青甘队,903,19590722,青海省,3400~4000,"阴坡,柳稍林下",,无花有果,https://image.cvh.ac.cn/files/l/PE/00732192.jpg,,,,,,,,,, +卵小叶垫柳,Salix ovatomicrophylla,何理、廖帅,PH2012082706,20120827,西藏,4211,石坡,灌木,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00090330.jpg,,,,,,,,,, +卵小叶垫柳,Salix ovatomicrophylla,高山监测团队,MJW-97,20061013,云南,3100,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008362.jpg,,,,,,,,,, +卵小叶垫柳,Salix ovatomicrophylla,FLPH Tibet Expedition,12-0387,20120909,西藏自治区,4500,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01967660.jpg,,,,,,,,,, +类扇叶垫柳,Salix paraflabellaris,俞德浚,19814,19390000,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0525577.jpg,,,,,,,,,, +类扇叶垫柳,Salix paraflabellaris,曲桂龄,2765,1936/00/00,四川省,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0318389.jpg,,,,,,,,,, +类扇叶垫柳,Salix paraflabellaris,T.T.Yu,19354,19380713,云南省,4000,upon precipuous rock,creeping shrub,有花无果,https://image.cvh.ac.cn/files/l/PE/00732250.jpg,,,,,,,,,, +藏紫枝柳,Salix paraheterochroma,西藏中草药普查队,1526,19720826,西藏自治区,3400,林内,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00732253.jpg,,,,,,,,,, +藏紫枝柳,Salix paraheterochroma,方震东,刘琳,李红,和光,史效武,赵卫东,程杰,K-2577,20021015,云南省,1072,滇西北苔草-点地梅群落,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007410.jpg,,,,,,,,,, +类四腺柳,Salix paratetradenia,生态室高原组,15760,19800921,西藏自治区,3200~3500,林内 灌丛优势种 之一,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491017.jpg,,,,,,,,,, +类四腺柳,Salix paratetradenia,C.W.Wang,70634,19350600,云南省 ,2500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0348300.jpg,,,,,,,,,, +,Salix paratetradenia,高信芬、涂卫国、何海、乔永康,6672,20030830,西藏,2640,路边,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189717.jpg,,,,,,,,,, +小齿叶柳,Salix parvidenticulata,李国风,60674,19570422,四川省,1100,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0525646.jpg,,,,,,,,,, +小齿叶柳,Salix parvidenticulata,T . P . Wang,7354,1937/7/21,甘肃,3100,,shrub,有花无果,https://image.cvh.ac.cn/files/l/WUK/0418527.jpg,,,,,,,,,, +小齿叶柳,Salix parvidenticulata,李永康,10012,19820306,贵州省,700,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0348306.jpg,,,,,,,,,, +黑枝柳,Salix pella,茂汶组,2520,19590613,四川省,3300,"高山,杂木林中",,无花有果,https://image.cvh.ac.cn/files/l/PE/00732528.jpg,,,,,,,,,, +黑枝柳,Salix pella,中苏调查队,Nov-85,19850000,云南省 ,1700,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0348310.jpg,,,,,,,,,, +,Salix pella,E. H. Wilson,4350,10-Oct,,2438~2743,,,,https://image.cvh.ac.cn/files/l/HUH/A00031192.jpg,,,,,,,,,, +纤柳,Salix phaidima,李洪钧,6833,19581004,湖北省,1190,丛林水沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00732625.jpg,,,,,,,,,, +纤柳,Salix phaidima,李国凤,62003,19570000,重庆市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00732642.jpg,,,,,,,,,, +纤柳,Salix phaidima,青藏队,7517,19820625,云南省,,南坡Abies林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/00732653.jpg,,,,,,,,,, +长叶柳,Salix phanera,刘正宇,2050305,20050521,重庆市,1250,溪边灌丛中,灌木,有花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0027723.jpg,,,,,,,,,, +长叶柳,Salix phanera,"李渤生,李辉",14319,19901023,西藏自治区,3500,村落水沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01341390.jpg,,,,,,,,,, +长叶柳,Salix phanera,张泽云周洪福,23748,1957/8/13,四川,,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0242002.jpg,,,,,,,,,, +毛小叶垫柳,Salix pilosomicrophylla,"李渤生,程树志等",5518,19830713,西藏自治区,4200,高山 灌丛中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491009.jpg,,,,,,,,,, +毛小叶垫柳,Salix pilosomicrophylla,何理,廖帅,PH2012080907,20120809,云南省,4292,草甸,,有花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00084562.jpg,,,,,,,,,, +毛小叶垫柳,Salix pilosomicrophylla,何理,廖帅,PH2012080906,20120809,云南,4330,草甸,垫状灌木,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00090324.jpg,,,,,,,,,, +毛果垫柳,Salix piptotricha,生态室高原组,10301,19800624,西藏自治区,3800,高山灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490887.jpg,,,,,,,,,, +毛果垫柳,Salix piptotricha,北京所横断山队,3286,19810818,云南省,4300~4400,高山 流石滩 石流内湿地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01447767.jpg,,,,,,,,,, +毛果垫柳,Salix piptotricha,王启无,64661,1935/07/00,,3500,,shrub,无花无果,https://image.cvh.ac.cn/files/l/WUK/0034833.jpg,,,,,,,,,, +曲毛柳,Salix plocotricha,王战,803,1939/09/00,四川,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0053114.jpg,,,,,,,,,, +曲毛柳,Salix plocotricha,青藏队植被组,14673,19800901,西藏自治区,3500~3800,冷杉林间草地 常见种,,无花有果,https://image.cvh.ac.cn/files/l/PE/01490991.jpg,,,,,,,,,, +曲毛柳,Salix plocotricha,俞德俊,9785,19370823,云南省,3800,rocky hill,,无花有果,https://image.cvh.ac.cn/files/l/PE/00732743.jpg,,,,,,,,,, +大苞柳,Salix pseudospissa,,,,甘肃,~,,,无花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0090146.jpg,,,,,,,,,, +大苞柳,Salix pseudospissa,"赵清盛,郭友好",111170,19740616,四川省,4700,荒山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00732940.jpg,,,,,,,,,, +大苞柳,Salix pseudospissa,,76-286,19760704,西藏自治区,4400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00732944.jpg,,,,,,,,,, +西柳,Salix pseudowolohoensis,K.M.Liou,2259,19340531,河北省,1200,Dans les vallees,,无花有果,https://image.cvh.ac.cn/files/l/PE/00934200.jpg,,,,,,,,,, +西柳,Salix pseudowolohoensis,何理,阮勇强,尚策,11-0072,20110422,云南,2823,溪沟中,大灌木,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00088452.jpg,,,,,,,,,, +西柳,Salix pseudowolohoensis,俞德浚,8052,19390000,云南省 ,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0525758.jpg,,,,,,,,,, +青海柳,Salix qinghaiensis,孙学刚等,2471,20010721,甘肃省,2950,沟谷灌丛云杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800880.jpg,,,,,,,,,, +青海柳,Salix qinghaiensis,四川省植被调查队,1750,19730607,四川省,3880,河漫滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/00774031.jpg,,,,,,,,,, +,Salix qinghaiensis,薛春迎,Xuechy0143,20080906,青海省,2298,温带灌丛,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1325891.jpg,,,,,,,,,, +截苞柳,Salix resecta,李磬,77832,1958/6/21,四川,2200,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0235234.jpg,,,,,,,,,, +截苞柳,Salix resecta,,,19350827,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/03303999w1699.jpg,,,,,,,,,, +截苞柳,Salix resecta,,19277,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/056027531.jpg,,,,,,,,,, +藏截苞矮柳,Salix resectoides,,20291,19600804,四川,4300,山沟斜坡,灌木,有花有果,https://image.cvh.ac.cn/files/l/SM/SM701500179.jpg,,,,,,,,,, +藏截苞矮柳,Salix resectoides,北京所横断山队,3551,19810824,云南省,4150~4400,高山常见灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447779.jpg,,,,,,,,,, +藏截苞矮柳,Salix resectoides,俞德浚,19348,19390000,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0526039.jpg,,,,,,,,,, +杜鹃叶柳,Salix rhododendrifolia,"李渤生,程树志",5345,19830704,西藏自治区,3800,高山 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491020.jpg,,,,,,,,,, +杜鹃叶柳,Salix rhododendrifolia,张林、李星月、张晓严,3-220,20180615,西藏,2707,县城中路,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023582.jpg,,,,,,,,,, +杜鹃叶柳,Salix rhododendrifolia,冯国楣,6038,19400801,云南省,3400~3700,"山坡,灌丛中",,无花有果,https://image.cvh.ac.cn/files/l/PE/00733529.jpg,,,,,,,,,, +拉加柳,Salix rockii,赵士栋 陈庆恒,876,19730602,四川省,4250,山谷湿处,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0296294.jpg,,,,,,,,,, +,Salix rockii,J. F. Rock,13928,1926/5/20,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00055998.jpg,,,,,,,,,, +拉加柳,Salix rockii,K.T.Fu,1231,19370717,甘肃省,3150,in forest,shrub or small tree,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0032253.jpg,,,,,,,,,, +近硬叶柳,Salix sclerophylloides,Ho Ting-nung et al.,2191,19960820,青海省,4500~4670,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00774004.jpg,,,,,,,,,, +近硬叶柳,Salix sclerophylloides,赵士栋方振富,994,1973/6/11,四川,4100,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0296272.jpg,,,,,,,,,, +近硬叶柳,Salix sclerophylloides,青藏队,2768,19810714,云南省,4500,流石滩,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0526228.jpg,,,,,,,,,, +,Salix scopulicola,,,,,,,,,,,,,,,,,,, +黄花垫柳,Salix souliei,北京所横断山队,3630,19810824,云南省,4150~4400,高山灌丛草甸带固定流石滩局部占优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447788.jpg,,,,,,,,,, +黄花垫柳,Salix souliei,宋滋圃,38467,1954/6/12,四川,3250,,灌木匍匐,无花无果,https://image.cvh.ac.cn/files/l/WUK/0176522.jpg,,,,,,,,,, +黄花垫柳,Salix souliei,T.T.Yu,9225,19370727,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0348688.jpg,,,,,,,,,, +巴郎柳,Salix sphaeronymphe,T.T.Yu,5429,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00742855.jpg,,,,,,,,,, +巴郎柳,Salix sphaeronymphe,钟补求,5154,19520727,四川省,,山沟 溪旁及阴坡低处,,无花无果,https://image.cvh.ac.cn/files/l/PE/00742867.jpg,,,,,,,,,, +巴郎柳,Salix sphaeronymphe,谢登峰、卫静丽,2027137,20190920,四川,4580,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02027137.jpg,,,,,,,,,, +光果巴郎柳,Salix sphaeronymphoides,刘尚武、罗达尚,947,19700604,青海省,2080,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/25934.jpg,,,,,,,,,, +光果巴郎柳,Salix sphaeronymphoides,张泽云,周洪富,22716,19570709,四川省,2,,灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00281070.jpg,,,,,,,,,, +光果巴郎柳,Salix sphaeronymphoides,汤庚国,2398,19891020,西藏,2970,,乔木,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2019036.jpg,,,,,,,,,, +灰叶柳,Salix spodiophylla,生态室高原组,14924,19800906,西藏自治区,3700~3900,高山 灌丛中常见种,,无花有果,https://image.cvh.ac.cn/files/l/PE/01490975.jpg,,,,,,,,,, +灰叶柳,Salix spodiophylla,"郎楷永,李良千,费勇",2793,19830805,四川省,4100,卡?拉山 冷杉林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057841.jpg,,,,,,,,,, +灰叶柳,Salix spodiophylla,"何兴金, 张云香, 王志新",SCU-10-507,20100923,四川,,山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1325920.jpg,,,,,,,,,, +洮河柳,Salix taoensis,王镜泉,78620,1978/5/15,甘肃,3200,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0481705.jpg,,,,,,,,,, +洮河柳,Salix taoensis,吉林师大地理系,1331,19610718,四川省,3450,潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00743087.jpg,,,,,,,,,, +,Salix taoensis,无,243,1959,青海,,,,有花无果,https://image.cvh.ac.cn/files/l/LZD/LZD0003659.jpg,,,,,,,,,, +光苞柳,Salix tenella,孙学刚等,20010005,20010520,甘肃省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800901.jpg,,,,,,,,,, +光苞柳,Salix tenella,T.P.Wang,15281,,陕西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0348828.jpg,,,,,,,,,, +光苞柳,Salix tenella,青藏队,14006,19830913,四川省,3800,高山 栎林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057861.jpg,,,,,,,,,, +毛果柳,Salix trichocarpa,"李文华 韩裕丰 桑杰/Li Wen-hua,Han Yu-feng & Sang Jie",75-172,19750615,西藏自治区,3200,山谷中,小乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00705267.jpg,,,,,,,,,, +毛果柳,Salix trichocarpa,Richard R.Halse,2608,19830424,,45,,Large tree,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00282197.jpg,,,,,,,,,, +毛果柳,Salix trichocarpa,付德志等,87-0145,19870421,四川省,760,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/000479.jpg,,,,,,,,,, +乌饭叶矮柳,Salix vaccinioides,陈伟烈,10600,19800626,西藏自治区,,冷杉林间空地常见种,,无花无果,https://image.cvh.ac.cn/files/l/PE/01490950.jpg,,,,,,,,,, +乌饭叶矮柳,Salix vaccinioides,"郎楷永,李良千,费勇",1756,19830613,四川省,3300~3400,冷杉林下 优势灌丛之一,,无花有果,https://image.cvh.ac.cn/files/l/PE/01057871.jpg,,,,,,,,,, +,Salix vaccinioides,H. R. E. Handel-Mazzetti,9225,1916/7/3,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00056020.jpg,,,,,,,,,, +维西柳,Salix weixiensis,K.M.Feng,3709,19400507,云南省,1950,杂林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00766342.jpg,,,,,,,,,, +维西柳,Salix weixiensis,赵士洞,2952,19840823,,1400,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/03303999y0333.jpg,,,,,,,,,, +川南柳,Salix wolohoensis,李策宏,669,19990302,四川,1030,林中,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00616031.jpg,,,,,,,,,, +川南柳,Salix wolohoensis,林亲众,10327,,湖南省,900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0349231.jpg,,,,,,,,,, +川南柳,Salix wolohoensis,唐昌林,1465,19550000,陕西省,3150,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0349254.jpg,,,,,,,,,, +伍须柳,Salix wuxuhaiensis,植被队,7173,1974-5 2,四川省,4700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0011734.jpg,,,,,,,,,, +西藏柳,Salix xizangensis,李文华等,76-413,19760717,西藏自治区,4000,高山灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00766473.jpg,,,,,,,,,, +西藏柳,Salix xizangensis,郎楷永,李良千,费勇,2476,19830729,四川省,4000~4100,云杉林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0527165.jpg,,,,,,,,,, +西藏柳,Salix xizangensis,郭先林、李子宣,2040700,20200717,四川,4617,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02040700.jpg,,,,,,,,,, +亚东毛柳,Salix yadongensis,青藏补点,750265,19750611,西藏自治区,2820,河边,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00705273.jpg,,,,,,,,,, +玉门柳,Salix yumenensis,丁托娅,2116,19890903,宁夏回族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/03303999w2841.jpg,,,,,,,,,, +玉门柳,Salix yumenensis,赵兴凡,3,19740611,甘肃,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/LZD/LZD0003779.jpg,,,,,,,,,, +藏柳,Salix zangica,"李渤生,程树志",537,19820903,西藏自治区,3150,冷杉林间流水沟砾石垅上多见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490970.jpg,,,,,,,,,, +察隅矮柳,Salix zayunica,青藏队,73-1095,19730812,西藏自治区,3600,山坡砾石滩,垫伏灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00766515.jpg,,,,,,,,,, +鹧鸪柳,Salix zhegushanica,邢吉庆,4403,19590601,陕西省,1892,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0349257.jpg,,,,,,,,,, +鹧鸪柳,Salix zhegushanica,郭本兆等,21555,19770716,西藏藏族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0344220.jpg,,,,,,,,,, +,Salix zhegushanica,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-115-B03,20190814,四川,3735,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0275018.jpg,,,,,,,,,, +,Salix zhouquensis,,,,,,,,,,,,,,,,,,, +青海猪毛菜,Salsola chinghaiensis,沈观冕,17,80.05.14,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00007086.jpg,,,,,,,,,, +青海猪毛菜,Salsola chinghaiensis,朱兆儀等,505,19580917,青海省,,草原,,无花无果,https://image.cvh.ac.cn/files/l/PE/01863972.jpg,,,,,,,,,, +,Salsola chinghaiensis,杨喜林,16,19770919,宁夏,,路旁干坦沙地,,有花无果,https://image.cvh.ac.cn/files/l/LZD/LZD0005198.jpg,,,,,,,,,, +,Salvia alatipetiolata,,,,,,,,,,,,,,,,,,, +,Salvia atrorubra,,,,,,,,,,,,,,,,,,, +,Salvia bifidocalyx,,,,,,,,,,,,,,,,,,, +,Salvia brachyloma,,,,,,,,,,,,,,,,,,, +,Salvia brevilabra,,,,,,,,,,,,,,,,,,, +,Salvia bulleyana,,,,,,,,,,,,,,,,,,, +,Salvia cyclostegia,,,,,,,,,,,,,,,,,,, +,Salvia cynica,,,,,,,,,,,,,,,,,,, +,Salvia evansiana,,,,,,,,,,,,,,,,,,, +,Salvia flava,,,,,,,,,,,,,,,,,,, +,Salvia grandifolia,,,,,,,,,,,,,,,,,,, +,Salvia handelii,,,,,,,,,,,,,,,,,,, +,Salvia heterochroa,,,,,,,,,,,,,,,,,,, +,Salvia hylocharis,,,,,,,,,,,,,,,,,,, +,Salvia kiaometiensis,,,,,,,,,,,,,,,,,,, +,Salvia mekongensis,,,,,,,,,,,,,,,,,,, +,Salvia pauciflora,,,,,,,,,,,,,,,,,,, +,Salvia pogonochila,,,,,,,,,,,,,,,,,,, +,Salvia prattii,,,,,,,,,,,,,,,,,,, +,Salvia schizochila,,,,,,,,,,,,,,,,,,, +,Salvia smithii,,,,,,,,,,,,,,,,,,, +,Salvia subpalmatinervis,,,,,,,,,,,,,,,,,,, +,Salvia trijuga,,,,,,,,,,,,,,,,,,, +,Salvia wardii,,,,,,,,,,,,,,,,,,, +,Salweenia wardii,,,,,,,,,,,,,,,,,,, +皱叶变豆菜,Sanicula rugulosa,,雅72-76,,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715006037.jpg,,,,,,,,,, +皱叶变豆菜,Sanicula rugulosa,,5268,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00040549.jpg,,,,,,,,,, +皱叶变豆菜,Sanicula rugulosa,青藏队,7098,19820609,云南省,2300,山坡 常绿阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132027.jpg,,,,,,,,,, +草珊瑚,Sarcandra glabra,"王印政,彭华,邓德山等",4760,19981024,云南省,1500,山地 山谷 密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01568035.jpg,,,,,,,,,, +草珊瑚,Sarcandra glabra,,478,,Kumaon,,,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0034596.jpg,,,,,,,,,, +草珊瑚,Sarcandra glabra,74 分类组,77029,19770827,云南省 ,1400,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00279125.jpg,,,,,,,,,, +,Sarcoglyphis arunachalensis,,,,,,,,,,,,,,,,,,, +马蹄香,Saruma henryi,黄河调查队,3683,19560514,甘肃省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00917027.jpg,,,,,,,,,, +马蹄香,Saruma henryi,刘,65-087,19650721,辽宁省,0,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/220087.jpg,,,,,,,,,, +马蹄香,Saruma henryi,"赵常明,赵凯明",EX2414,20090413,湖北省,800,常绿阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230966.jpg,,,,,,,,,, +鸟足兰,Satyrium nepalense,"于胜祥,侯元同,张晓霞",5885,20110823,西藏自治区,,沿途路旁山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033614.jpg,,,,,,,,,, +鸟足兰,Satyrium nepalense,Juangat ?,,19000925,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0621377.jpg,,,,,,,,,, +鸟足兰,Satyrium nepalense,A. Henry,9192B.,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028756.jpg,,,,,,,,,, +缘毛鸟足兰,Satyrium nepalense var. ciliatum,李文虎,吴天抗,张天碧,杨光明,QJYS0122,20121105,云南,3550,荒坡,草本,,https://image.cvh.ac.cn/files/l/KUN/1394280.jpg,,,,,,,,,, +,Satyrium nepalense var. ciliatum,"张挺, 刘成, 亚吉东",18CS17721,20180916,西藏,3524,路上方草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487419.jpg,,,,,,,,,, +缘毛鸟足兰,Satyrium nepalense var. ciliatum,T.T.Yu,1267,19320800,四川省,2600~2800,,,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0006707.jpg,,,,,,,,,, +多脉水东哥,Saurauia polyneura,"李渤生,程树志",2270,19821219,西藏自治区,1200~2100,江边 沟谷林主要建群树种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495576.jpg,,,,,,,,,, +红萼水东哥,Saurauia rubricalyx,生态室高原组,11387,19800727,西藏自治区,1900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495588.jpg,,,,,,,,,, +红萼水东哥,Saurauia rubricalyx,"郭永杰, 王雨华, 杨立新, 李姗",18CS16804,20180506,西藏,1513,路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486815.jpg,,,,,,,,,, +红萼水东哥,Saurauia rubricalyx,裴盛基,14091,19760924,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/009944.jpg,,,,,,,,,, +短柄斑龙芋,Sauromatum brevipes,,3058,19590726,陕西省,0~490,山坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/92532.jpg,,,,,,,,,, +,Sauromatum diversifolium,PE西藏考察队,7989,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332054.jpg,,,,,,,,,, +,Sauromatum giganteum,黄河考察队,2610,19240700,山西省,750,河谷陡崖,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244596.jpg,,,,,,,,,, +独角莲,Sauromatum giganteum,赖学文,830007,198305,江西,,,,有花有果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0005254.jpg,,,,,,,,,, +斑龙芋,Sauromatum venosum,,,20140912,云南省,2265~2310,阔叶林,,,https://image.cvh.ac.cn/files/l/KUN/1279242.jpg,,,,,,,,,, +斑龙芋,Sauromatum venosum,李恒,8819,19880526,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/29371.jpg,,,,,,,,,, +川甘风毛菊,Saussurea acroura,陈又生,6299,20060824,甘肃省,2000,Grassland,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772166.jpg,,,,,,,,,, +川甘风毛菊,Saussurea acroura,王作宾,13447,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390206.jpg,,,,,,,,,, +,Saussurea acroura,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-154-B34,20190826,四川,3169,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273835.jpg,,,,,,,,,, +无梗风毛菊,Saussurea apus,"李渤生,郑度,张百平",11164,19870820,新疆维吾尔自治区,5300~5400,高山河滩伏势物,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390567.jpg,,,,,,,,,, +无梗风毛菊,Saussurea apus,Hoo et Wang,12649,1941/8/31,甘肃,3500,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0068349.jpg,,,,,,,,,, +,Saussurea apus,鞠文彬,郑臣臣,THP-KD-6200,20170816,四川,4721,草地溪边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241736.jpg,,,,,,,,,, +沙生风毛菊,Saussurea arenaria,Ho Ting-njung et al ,1192,19930812,青海省,4000,on valey sides,,有花有果,https://image.cvh.ac.cn/files/l/PE/00519159.jpg,,,,,,,,,, +沙生风毛菊,Saussurea arenaria,青藏队植被组,8756,19760629,西藏自治区,4000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00455086.jpg,,,,,,,,,, +,Saussurea arenaria,,,,,,,,,,,,,,,,,,, +云状雪兔子,Saussurea aster,刘尚武,122,1965/6/29,青海,5000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0261309.jpg,,,,,,,,,, +云状雪兔子,Saussurea aster,杨竞生,91-761,19910801,西藏自治区,4700,流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078031.jpg,,,,,,,,,, +云状雪兔子,Saussurea aster,路端正,,20010818,西藏,5231,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005588.jpg,,,,,,,,,, +漂亮风毛菊,Saussurea bella,D.E.Boufford et al.,36613,20060816,四川省,,Grass covered slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885642.jpg,,,,,,,,,, +漂亮风毛菊,Saussurea bella,杨竞生,91-551,19910706,西藏自治区,3850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716566.jpg,,,,,,,,,, +漂亮风毛菊,Saussurea bella,刘尚武,504,19650822,青海省,3850,河滩砂地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716565.jpg,,,,,,,,,, +波密风毛菊,Saussurea bomiensis,应俊生 洪德元,650835,19650802,西藏自治区,4100,高山灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030084.jpg,,,,,,,,,, +短苞风毛菊,Saussurea brachylepis,杨竞生,91-589,19910709,西藏自治区,4500,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908260.jpg,,,,,,,,,, +短苞风毛菊,Saussurea brachylepis,"关克俭,王文采",995,19510915,四川省,4000,高山草坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908252.jpg,,,,,,,,,, +,Saussurea brachylepis,K. A. H. Smith,11774,1934/9/4,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00011742.jpg,,,,,,,,,, +,Saussurea brunneopilosa,"Rock, Joseph Francis Charles",14458,26-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00394621.jpg,,,,,,,,,, +异色风毛菊,Saussurea brunneopilosa,D.E.Boufford et al.,39205,20070807,四川省,4250~4530,Meadow and on shrub covered slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885644.jpg,,,,,,,,,, +异色风毛菊,Saussurea brunneopilosa,青藏队,1611,19590806,青海省,3300,阳坡松树林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716513.jpg,,,,,,,,,, +泡叶风毛菊,Saussurea bullata,K.M.Feng,2358,19390914,西藏自治区,,on open hill side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391749.jpg,,,,,,,,,, +泡叶风毛菊,Saussurea bullata,青藏队,12319,19830723,四川省,4000,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390605.jpg,,,,,,,,,, +泡叶风毛菊,Saussurea bullata,0,5283,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00118098.jpg,,,,,,,,,, +尾叶风毛菊,Saussurea caudata,"D.E.Boufford,K.Fujikawa,S.L.Kelley etc.",38339,20070727,四川省,3100~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102010.jpg,,,,,,,,,, +尾叶风毛菊,Saussurea caudata,D.E. Boufford et al.,43354,20130901,云南省,3490,"On steep,wet shale slope at edge of thicket.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01919875.jpg,,,,,,,,,, +,Saussurea caudata,,,,,,,,,,,,,,,,,,, +百裂风毛菊,Saussurea centiloba,汤宗孝,815,19810807,云南省,3330,亚高山灌丛草间,,有花无果,https://image.cvh.ac.cn/files/l/PE/01717358.jpg,,,,,,,,,, +百裂风毛菊,Saussurea centiloba,汤宗孝,462,19820721,四川省,4000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01717360.jpg,,,,,,,,,, +百裂风毛菊,Saussurea centiloba,郭先林、郑宏一,2041076,20200720,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02041076.jpg,,,,,,,,,, +,Saussurea ceterach,余奇、熊先华、李琳霖,THP-KD-5006,20170815,四川,2220-2702,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241771.jpg,,,,,,,,,, +康定风毛菊,Saussurea ceterach,D.E.Boufford et al,36648,20060816,四川省,4475,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912903.jpg,,,,,,,,,, +康定风毛菊,Saussurea ceterach,"杨亲二,孔宏智",98-313,19930331,云南省,4200,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908258.jpg,,,,,,,,,, +显脉雪兔子,Saussurea chionophora,刘尚武,324,19650805,青海省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/13632.jpg,,,,,,,,,, +显脉雪兔子,Saussurea chionophora,刘志安,22967,19800822,四川省,0~4200,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0627817.jpg,,,,,,,,,, +显脉雪兔子,Saussurea chionophora,李馨,77971,1958/6/29,四川,4750,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0250859.jpg,,,,,,,,,, +纤缘毛风毛菊,Saussurea ciliaris,George Forrest,6308,191008,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/AU050461.jpg,,,,,,,,,, +硬叶风毛菊,Saussurea ciliaris,C.S.Liu,1524,19340911,,3850,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00109147.jpg,,,,,,,,,, +硬叶风毛菊,Saussurea ciliaris,青藏队,5830,19810830,四川省,4500~4600,山坡石流滩下部,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393808.jpg,,,,,,,,,, +匙叶风毛菊,Saussurea cochlearifolia,青藏队 植被组,7690,19750902,西藏自治区,,冰碛丘陵 上草原及水边草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030092.jpg,,,,,,,,,, +鞘基风毛菊,Saussurea colpodes,西藏中草药普查队,1485,19720826,西藏自治区,3340,林缘 路边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030093.jpg,,,,,,,,,, +鞘基风毛菊,Saussurea colpodes,"张挺, 刘成, 亚吉东",18CS17696,20180916,西藏,3988,路边山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487403.jpg,,,,,,,,,, +鞘基风毛菊,Saussurea colpodes,郭先林、卫静丽,2040572,20200716,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02040572.jpg,,,,,,,,,, +柱茎风毛菊,Saussurea columnaris,康藏植物考察队,10-3171,20100902,云南省,4600,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909591.jpg,,,,,,,,,, +柱茎风毛菊,Saussurea columnaris,张建文,杨斌,陈洪梁,Zh 663,20130902,青海省,4950,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1260686.jpg,,,,,,,,,, +柱茎风毛菊,Saussurea columnaris,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909590.jpg,,,,,,,,,, +华美风毛菊,Saussurea compta,D. E. Boufford et al.,39784,20070815,四川省,3250,Mostly on cliffs in crevices of rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882659.jpg,,,,,,,,,, +华美风毛菊,Saussurea compta,青海植物,765,1964/8/26,青海,3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0261696.jpg,,,,,,,,,, +,Saussurea compta,"Forrest, G.",22357,,,,,,,https://image.cvh.ac.cn/files/l/P/P00602825.jpg,,,,,,,,,, +革苞风毛菊,Saussurea coriacea,FLPH Tibet Expedition,12-372,20120909,西藏自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01968172.jpg,,,,,,,,,, +革苞风毛菊,Saussurea coriacea,D.E.Boufford et al.,34515,20050810,四川省,4060~4150,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01912934.jpg,,,,,,,,,, +革苞风毛菊,Saussurea coriacea,郭先林、贾圣斌,2037561,20200716,四川,4654,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02037561.jpg,,,,,,,,,, +硬苞风毛菊,Saussurea coriolepis,K.L.Chu,3570,19360812,四川省,,mt.open rock,Herb,有花有果,https://image.cvh.ac.cn/files/l/PE/01842115.jpg,,,,,,,,,, +,Saussurea delavayi,,20551,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0054941.jpg,,,,,,,,,, +大理雪兔子,Saussurea delavayi,张娆挺,徐福昌,529,19581014,青海省,0,草原盐硷地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/728880.jpg,,,,,,,,,, +大理雪兔子,Saussurea delavayi,"陈又生,毕延超",11-199,20110825,云南省,3900,杜鹃林缘草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113433.jpg,,,,,,,,,, +中甸风毛菊,Saussurea dschungdienensis,康藏植物考察队,10-3241,20100903,云南省,4185,灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053040.jpg,,,,,,,,,, +中甸风毛菊,Saussurea dschungdienensis,青藏队,13999,19830913,四川省,4200~4300,灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391133.jpg,,,,,,,,,, +,Saussurea dschungdienensis,"Handel-Mazzetti, H.",7760,24-Aug-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00383901.jpg,,,,,,,,,, +川西风毛菊,Saussurea dzeurensis,吴玉虎等,4918,19900727,青海省,3430,林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716390.jpg,,,,,,,,,, +川西风毛菊,Saussurea dzeurensis,钟补求,5087,19520720,西藏自治区,,旱山坡上 房屋旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391140.jpg,,,,,,,,,, +川西风毛菊,Saussurea dzeurensis,T.P.Wang,7426,19370727,甘肃省,3500,on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391137.jpg,,,,,,,,,, +棉头风毛菊,Saussurea eriocephala,川经西(59)字 武素功,3549,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052825.jpg,,,,,,,,,, +棉头风毛菊,Saussurea eriocephala,北京市横断山队,2793,19810809,云南省,1900,路边时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052826.jpg,,,,,,,,,, +棉头风毛菊,Saussurea eriocephala,0,,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00118089.jpg,,,,,,,,,, +红柄雪莲,Saussurea erubescens,"Y.S.Chen. Z.Y.Chang,M.Deng et al.",13-0047,20130730,青海省,4543,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016816.jpg,,,,,,,,,, +红柄雪莲,Saussurea erubescens,陶德定,10877,19760000,西藏自治区,4600,山谷 石砾砂坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391422.jpg,,,,,,,,,, +红柄雪莲,Saussurea erubescens,王作宾,14758,19510810,甘肃省,3600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00455326.jpg,,,,,,,,,, +锐齿风毛菊,Saussurea euodonta,青藏队,12404,19830724,四川省,3800,山坡冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391218.jpg,,,,,,,,,, +锐齿风毛菊,Saussurea euodonta,"陈又生,毕延超",11-117,20110808,云南省,3646,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016367.jpg,,,,,,,,,, +,Saussurea euodonta,"Forrest, George",2823,6-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00259807.jpg,,,,,,,,,, +管茎雪兔子,Saussurea fistulosa,"E.V.Raab-Straube,M.Smalla,H.Sun",623,20000907,云南省,4700,"Rock steps with soil accumulation, granite",,,https://image.cvh.ac.cn/files/l/KUN/1283132.jpg,,,,,,,,,, +,Saussurea fistulosa,"Forrest, George",20709,21-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00259838.jpg,,,,,,,,,, +黄绿苞风毛菊,Saussurea flavo-virens,青藏队,74-2352B,19740912,西藏自治区,4200,山坡 灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030107.jpg,,,,,,,,,, +川滇雪兔子,Saussurea georgei,K.M.Feng,1523,19390706,云南省,,山岩坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393844.jpg,,,,,,,,,, +川滇雪兔子,Saussurea georgei,D. E. Boufford et al.,42580,20100803,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01897223.jpg,,,,,,,,,, +,Saussurea georgei,"Forrest, George",30816,1931,,,,,,https://image.cvh.ac.cn/files/l/E/E00259825.jpg,,,,,,,,,, +纤细风毛菊,Saussurea graciliformis,何叶祺,5288,1959/7/24,甘肃,2200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0390912.jpg,,,,,,,,,, +纤细风毛菊,Saussurea graciliformis,甘青队,钟补求,10095,1958/8/21,青海,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0100572.jpg,,,,,,,,,, +纤细风毛菊,Saussurea graciliformis,河西队,161,19670805,甘肃省,2700,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716159.jpg,,,,,,,,,, +禾叶风毛菊,Saussurea graminea,青藏队,1196,19870826,新疆维吾尔自治区,5110,河滩盐土草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716149.jpg,,,,,,,,,, +禾叶风毛菊,Saussurea graminea,"Jin Xh,Wang LS,Wang Q et al.",ST1223,20130729,云南省,3400~3600,apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01978134.jpg,,,,,,,,,, +禾叶风毛菊,Saussurea graminea,FLPH Tibet Expedition,12-0445,20120911,西藏自治区,5000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113388.jpg,,,,,,,,,, +硕首雪兔子,Saussurea grandiceps,青藏队植被组,5834,19750813,西藏自治区,5000~5300,山顶垭口流石坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01581317.jpg,,,,,,,,,, +粗裂风毛菊,Saussurea grosseserrata,"陈又生,毕延超",11-107,20110808,云南省,4000,石砾坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111240.jpg,,,,,,,,,, +,Saussurea grosseserrata,,,,,,,,,,,,,,,,,,, +加查雪兔子,Saussurea gyacaensis,西藏中草药普查队,4363,19720823,西藏自治区,4850,岩石下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050352.jpg,,,,,,,,,, +青藏风毛菊,Saussurea haoi,青藏队,12758,19760810,西藏自治区,4400~4300,高山泥石滩,,有花无果,https://image.cvh.ac.cn/files/l/KUN/730064.jpg,,,,,,,,,, +黑毛雪兔子,Saussurea hypsipeta,青海植物,2065,1962/7/24,青海,4253,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0228960.jpg,,,,,,,,,, +黑毛雪兔子,Saussurea hypsipeta,陈晓澄等,Chenxc-292,20170907,西藏,5200,砾石滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018479.jpg,,,,,,,,,, +黑毛雪兔子,Saussurea hypsipeta,郭柯,K-133,19900715,青海省,5130,冰碛物北坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02060103.jpg,,,,,,,,,, +,Saussurea integrifolia,"Fang, W.P.",4464,1928/9/16,,,,,,https://image.cvh.ac.cn/files/l/P/P00836216.jpg,,,,,,,,,, +全缘叶风毛菊,Saussurea integrifolia,"李全喜,赵兴存",3097,19640905,四川省,2800,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716107.jpg,,,,,,,,,, +全缘叶风毛菊,Saussurea integrifolia,王启无,69673,193509,云南省,3800,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/729170.jpg,,,,,,,,,, +异裂风毛菊,Saussurea irregularis,罗建等,LuoJian-XZ-0929,20091002,西藏自治区,4181,高山灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912842.jpg,,,,,,,,,, +异裂风毛菊,Saussurea irregularis,杨竟生,88-188,19880823,云南省,0~4400,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0627981.jpg,,,,,,,,,, +甘肃风毛菊,Saussurea kansuensis,青藏队植被组,9568,19760821,西藏自治区,4000,河滩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496475.jpg,,,,,,,,,, +甘肃风毛菊,Saussurea kansuensis,生物所西藏考察队,4406,19740917,青海省,4500,丘间平地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908212.jpg,,,,,,,,,, +,Saussurea kansuensis,"Rock, Joseph Francis Charles",13737,25-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00394620.jpg,,,,,,,,,, +重齿风毛菊,Saussurea katochaete,FLPH Tibet Expedition,12-0631,20120905,西藏自治区,4364,湿草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113422.jpg,,,,,,,,,, +重齿风毛菊,Saussurea katochaete,D.E.Boufford et al.,36124,20060809,四川省,4400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01912935.jpg,,,,,,,,,, +重齿风毛菊,Saussurea katochaete,"张中帅,李灵露",zzs&111-245,20140915,云南省,4819,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037256.jpg,,,,,,,,,, +拉萨雪兔子,Saussurea kingii,FLPH Tibet Expedition,12-0027,20120902,西藏自治区,4755,湖边沙地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110853.jpg,,,,,,,,,, +拉萨雪兔子,Saussurea kingii,童浩华,135,19850908,内蒙古自治区,3600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00519224.jpg,,,,,,,,,, +拉萨雪兔子,Saussurea kingii,张挺,刘成,何华杰,19CS18729,20190912,西藏,4523,高山灌草丛,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1505997.jpg,,,,,,,,,, +白毛风毛菊,Saussurea lanata,"Y.S.Chen,Z.Y.Chang et al.",13-0860,20130810,西藏自治区,3957,灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053558.jpg,,,,,,,,,, +绵头雪莲花,Saussurea laniceps,"杨亲二,孔宏智",s.n.,19980000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01837501.jpg,,,,,,,,,, +绵头雪莲花,Saussurea laniceps,,6599,1960,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719403545.jpg,,,,,,,,,, +绵头雪莲花,Saussurea laniceps,FLPH Tibet Expedition,12-1426,20120917,西藏自治区,4700,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113417.jpg,,,,,,,,,, +双齿风毛菊,Saussurea lavrenkoana,T.T.Yu,14644,19371027,四川省,4000,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390552.jpg,,,,,,,,,, +,Saussurea lavrenkoana,T. T. Yu,14644,1937/10/27,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00011764.jpg,,,,,,,,,, +,Saussurea lavrenkoana,"E.V. Raab-Straube,M. Smalla & H. Sun",870,20000914,云南,4300,"On W-exposed, stabilized scree, marble",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498355.jpg,,,,,,,,,, +薄苞风毛菊,Saussurea leptolepis,"陈又生,毕延超",11-157,20110817,云南省,4085,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111243.jpg,,,,,,,,,, +薄苞风毛菊,Saussurea leptolepis,D.E.Boufford et al.,39298,20070808,四川省,3720~4100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913048.jpg,,,,,,,,,, +薄苞风毛菊,Saussurea leptolepis,"陈又生,毕延超",11-174,20110818,西藏自治区,4423,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111242.jpg,,,,,,,,,, +,Saussurea leucoma,余奇、周晓雪,THP-KD-4112,20170711,四川,3348-3745,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241759.jpg,,,,,,,,,, +羽裂雪兔子,Saussurea leucoma,G.Forrest,6489,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628027.jpg,,,,,,,,,, +羽裂雪兔子,Saussurea leucoma,"陈又生,毕延超",11-187,20110822,西藏自治区,4672~4752,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053028.jpg,,,,,,,,,, +林周风毛菊,Saussurea lhunzhubensis,"张永田,郞楷永",2596,19650904,西藏自治区,4600,山坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393912.jpg,,,,,,,,,, +巴塘风毛菊,Saussurea limprichtii,俞德浚,12578,19370802,云南省,3200,grassland rogion,,有花无果,https://image.cvh.ac.cn/files/l/KUN/729254.jpg,,,,,,,,,, +巴塘风毛菊,Saussurea limprichtii,俞德浚,14561,19371018,四川省,3700,Margin of thickets,,有花无果,https://image.cvh.ac.cn/files/l/KUN/729272.jpg,,,,,,,,,, +巴塘风毛菊,Saussurea limprichtii,,75174,1975-7 9,吉林省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0149208.jpg,,,,,,,,,, +,Saussurea lingulata,高信芬,鞠文彬,郑臣臣,THP-KD-5803,20170808,四川,4358,草地灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0240316.jpg,,,,,,,,,, +小舌风毛菊,Saussurea lingulata,T.T.Yu,22851,19381109,云南省,3800,石边草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110939.jpg,,,,,,,,,, +小舌风毛菊,Saussurea lingulata,李红、白洪兵,533324180921986LY,20180921,云南,3930,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010044.jpg,,,,,,,,,, +长叶风毛菊,Saussurea longifolia,T.T.Yu,13794,19371020,云南省,3500,草坪,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909528.jpg,,,,,,,,,, +长叶雪莲,Saussurea longifolia,E.E.Maire,1033,19130000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628040.jpg,,,,,,,,,, +长叶雪莲,Saussurea longifolia,陈善墉 何铸 钟明芳,5545,19580713,四川,3500,,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM719403539.jpg,,,,,,,,,, +带叶风毛菊,Saussurea loriformis,G.Forrest,13168,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628041.jpg,,,,,,,,,, +带叶风毛菊,Saussurea loriformis,陈又生,7146,20070722,四川省,4800,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670877.jpg,,,,,,,,,, +带叶风毛菊,Saussurea loriformis,朱鑫鑫、陈彬、沈彬、宋以刚,CSH06416,20140804,四川,5014.5,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0037330.jpg,,,,,,,,,, +大头羽裂风毛菊,Saussurea lyratifolia,青藏队,3805,19740731,西藏自治区,0,山坡水沟边草丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/731103.jpg,,,,,,,,,, +尖头风毛菊,Saussurea malitiosa,张中帅,383,20130914,甘肃省,3006,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016291.jpg,,,,,,,,,, +尖头风毛菊,Saussurea malitiosa,左振常,123,1964/ /,青海,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0296851.jpg,,,,,,,,,, +尖头风毛菊,Saussurea malitiosa,青甘队,907,19590722,青海省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/003040.jpg,,,,,,,,,, +黑苞风毛菊,Saussurea melanotrica,,20546,,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00104650.jpg,,,,,,,,,, +滇风毛菊,Saussurea micradenia,"陈又生,毕延超",11-158,20110817,云南省,3800,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052251.jpg,,,,,,,,,, +,Saussurea micradenia,"Handel-Mazzetti, H.",9873,17-Aug-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00394648.jpg,,,,,,,,,, +滇风毛菊,Saussurea micradenia,"陈又生,毕延超",11-175,20110818,西藏自治区,4269,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052250.jpg,,,,,,,,,, +小风毛菊,Saussurea minuta,王勤,276,19930711,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01912772.jpg,,,,,,,,,, +,Saussurea minuta,"Smith, Karl August Harald",11951,7-Sep-34,,,,,,https://image.cvh.ac.cn/files/l/E/E00383908.jpg,,,,,,,,,, +小风毛菊,Saussurea minuta,陈又生,7210,20070728,四川省,4000,溪边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671006.jpg,,,,,,,,,, +山地风毛菊,Saussurea montana,0,28632,,,0,,,有花有果,https://image.cvh.ac.cn/files/l/LBG/00118110.jpg,,,,,,,,,, +山地风毛菊,Saussurea montana,"陈又生,毕延超",11-077,20110729,四川省,4074,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052518.jpg,,,,,,,,,, +山地风毛菊,Saussurea montana,蓝顺彬,537,19850817,云南省,4300,高山石崖上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716447.jpg,,,,,,,,,, +木里雪莲,Saussurea muliensis,方震东,116,19870710,云南省,4350~4750,高山流石滩,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002727.jpg,,,,,,,,,, +,Saussurea muliensis,"E.V. Raab-Straube,M. Smalla & H. Sun",910,20000914,云南,4300,In S-exposed rock fisssures filled with fine earth.,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498336.jpg,,,,,,,,,, +钻状风毛菊,Saussurea nematolepis,李馨,75437,19570726,四川省,2350,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716491.jpg,,,,,,,,,, +钻状风毛菊,Saussurea nematolepis,Wei-Ying Hsia,7026,19390900,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00393002.jpg,,,,,,,,,, +钻状风毛菊,Saussurea nematolepis,T.N.Ho etc.,1930,19960816,青海省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/761486.jpg,,,,,,,,,, +耳叶风毛菊,Saussurea neofranchetii,陈又生,7328,20070809,四川省,3200,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670765.jpg,,,,,,,,,, +耳叶风毛菊,Saussurea neofranchetii,俞德浚,12721,19370808,云南省,3400,in ravine,,有花无果,https://image.cvh.ac.cn/files/l/KUN/729356.jpg,,,,,,,,,, +,Saussurea neofranchetii,,,,,,,,,,,,,,,,,,, +,Saussurea nidularis,,,,,,,,,,,,,,,,,,, +聂拉木风毛菊,Saussurea nyalamensis,PLPH Tibet expedition,12-0391,20120909,西藏自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016387.jpg,,,,,,,,,, +聂拉木风毛菊,Saussurea nyalamensis,Barry、和光、马剑,D-025,20040708,云南省,4445,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002741.jpg,,,,,,,,,, +褐黄色风毛菊,Saussurea ochrochlaena,方震东,G87,20051008,云南,,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG008843.jpg,,,,,,,,,, +褐毛色风毛菊,Saussurea ochrochlaena,X.H.Jin et al.,DLJ-ET 1655,20080708,云南省,1876,conifer forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908018.jpg,,,,,,,,,, +褐毛色风毛菊,Saussurea ochrochlaena,H.B.G,1163,19930812,青海省,4000,valley with flat bottom,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393786.jpg,,,,,,,,,, +卵叶风毛菊,Saussurea ovatifolia,侯元同、郭成勇、商永泉,47,20150811,吉林省,619.3,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0007093.jpg,,,,,,,,,, +卵叶风毛菊,Saussurea ovatifolia,郭贵林、李固江,B-154,19820814,黑龙江,,,,有花有果,https://image.cvh.ac.cn/files/l/NEAU/NEAU0002101.jpg,,,,,,,,,, +卵叶风毛菊,Saussurea ovatifolia,学生,,198408,辽宁,,,,有花有果,https://image.cvh.ac.cn/files/l/NEAU/NEAU0002204.jpg,,,,,,,,,, +糠秕毛风毛菊,Saussurea paleacea,青藏队,4303,19810825,四川省,3200,石灰岩 山坡碎石坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454360.jpg,,,,,,,,,, +糠秕毛风毛菊,Saussurea paleacea,"覃海宁,董仕勇,康云等",61,20010807,西藏自治区,4000,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772197.jpg,,,,,,,,,, +糠秕毛风毛菊,Saussurea paleacea,岳伟、苏旭、王玉金,LiuJQ-325,20110930,青海省,0~3316,温带草原平地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280660.jpg,,,,,,,,,, +红叶雪兔子,Saussurea paxiana,杨竞生,91-651,19910710,西藏自治区,4600,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716168.jpg,,,,,,,,,, +红叶雪兔子,Saussurea paxiana,吴玉虎等,5565,19900729,青海省,4500,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776309.jpg,,,,,,,,,, +红叶雪兔子,Saussurea paxiana,黄荣福,3357,19910806,甘肃省,3950,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/168605.jpg,,,,,,,,,, +褐花雪莲,Saussurea phaeantha,K.M.Liou,6734,19360823,青海省,3000,Lieux herbeux des hautes montagnes,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393557.jpg,,,,,,,,,, +褐花雪莲,Saussurea phaeantha,杨金祥,2243,1963/8/15,西藏,4750,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0411407.jpg,,,,,,,,,, +褐花雪莲,Saussurea phaeantha,"陈又生,高云东",140507,20140712,四川省,4116,山顶草甸及杜鹃灌丛,,,https://image.cvh.ac.cn/files/l/PE/02053713.jpg,,,,,,,,,, +,Saussurea polycolea,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-2179,20130825,西藏自治区,4000,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016834.jpg,,,,,,,,,, +,Saussurea polycolea,"T.N.Ho(HNWP),B.Bartholomew(CAS),M.Watson(E)and M.G",1767,19960814,青海省,4020,herb rich alpine meadow on gentle slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393762.jpg,,,,,,,,,, +多鞘雪莲,Saussurea polycolea,陈晓澄等,Chenxc-318,20170907,西藏,4487,禁木草地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018143.jpg,,,,,,,,,, +水龙骨风毛菊,Saussurea polypodioides,陈又生,7117,20070721,四川省,4000,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670917.jpg,,,,,,,,,, +,Saussurea polypodioides,"Forrest, George",2966,6-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00259758.jpg,,,,,,,,,, +水龙骨风毛菊,Saussurea polypodioides,"张中帅,李灵露",zzs&111-305,20140920,云南省,4192,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037122.jpg,,,,,,,,,, +,Saussurea poochlamys,"张中帅,李灵露",zzs&111-301,20140920,云南省,4192,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037123.jpg,,,,,,,,,, +革叶风毛菊,Saussurea poochlamys,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191520,20190928,云南,4144,亚热带,高山灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1485814.jpg,,,,,,,,,, +,Saussurea poochlamys,陈又生,9591,20090825,四川省,4000~4544,林下或灌丛下苔藓中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01909593.jpg,,,,,,,,,, +紫白风毛菊,Saussurea porphyroleuca,H.T.Tsai,58173,19340825,云南省 ,0~4000,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628086.jpg,,,,,,,,,, +紫白风毛菊,Saussurea porphyroleuca,R.C.Ching,30617,19390918,云南省,,on open pasture,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393677.jpg,,,,,,,,,, +紫白风毛菊,Saussurea porphyroleuca,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393679.jpg,,,,,,,,,, +草原雪莲,Saussurea pratensis,杨永昌,368,19640713,青海省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/171039.jpg,,,,,,,,,, +草原雪莲,Saussurea pratensis,0,,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00118085.jpg,,,,,,,,,, +类尖头风毛菊,Saussurea pseudomalitiosa,Hoo et Wang,12577,1941/8/14,甘肃,3100,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0080046.jpg,,,,,,,,,, +类尖头风毛菊,Saussurea pseudomalitiosa,青甘队,1237,1959/8/7,青海,3830,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0169244.jpg,,,,,,,,,, +类尖头风毛菊,Saussurea pseudomalitiosa,吴玉虎,19566,20010723,青海省,0~2800,阴坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00007075.jpg,,,,,,,,,, +延翅风毛菊,Saussurea pteridophylla,FLPH Sichuan Expedition,151145,20150825,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235018.jpg,,,,,,,,,, +,Saussurea pteridophylla,"Handel-Mazzetti, H.",5458,3-Oct-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00383906.jpg,,,,,,,,,, +毛果风毛菊,Saussurea pubescens,西藏中草药普查队,881,19720730,西藏自治区,4900,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030164.jpg,,,,,,,,,, +小苞雪莲,Saussurea pubifolia,FLPH Tibet Expedition,12-1054,,西藏自治区,,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113392.jpg,,,,,,,,,, +美丽风毛菊,Saussurea pulchra,吴磊,QH0197,20130728,西藏省,4600~4700,,,,https://image.cvh.ac.cn/files/l/BNU/0023303.jpg,,,,,,,,,, +美丽风毛菊,Saussurea pulchra,喻勋林 徐永福 黄娟,80274,20080821,湖北省,1000,,,有花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI046354.jpg,,,,,,,,,, +美丽风毛菊,Saussurea pulchra,郭淑青、杜品,LiuJQ-GN-111,20120821,甘肃省,0~3222,草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0284651.jpg,,,,,,,,,, +垫风毛菊,Saussurea pulvinata,T.P.Wang,6085,19360910,,2700,,herb,有花有果,https://image.cvh.ac.cn/files/l/NKU/NK 011899.jpg,,,,,,,,,, +垫风毛菊,Saussurea pulvinata,"郑度,郭柯",12268,19880803,新疆维吾尔自治区,3300,河谷侧坡下部Reaumurea kash荒漠中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390666.jpg,,,,,,,,,, +垫风毛菊,Saussurea pulvinata,郭诸王,11704,19750727,青海省,3000,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390663.jpg,,,,,,,,,, +矮小风毛菊,Saussurea pumila,张挺,郭永杰,姜虹,16CS13654,20160830,四川,4476,岩石上,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435287.jpg,,,,,,,,,, +矮小风毛菊,Saussurea pumila,青藏队,4676,1981-8 1,四川省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0151763.jpg,,,,,,,,,, +矮小风毛菊,Saussurea pumila,T.N.Ho(HNWP) B.Bartholomew(CAS) M.Watson M.Gilbert,1666,19960812,青海省,4600,Growing in turf on lower slopes,,有花有果,https://image.cvh.ac.cn/files/l/PE/00552525.jpg,,,,,,,,,, +紫苞风毛菊,Saussurea purpurascens,青藏队,74-2352A,19740912,西藏自治区,4200,山坡 灌丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00393617.jpg,,,,,,,,,, +紫苞风毛菊,Saussurea purpurascens,中药系14级,140924180805054LY,20150809,山西,,,,有花无果,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0015597.jpg,,,,,,,,,, +,Saussurea purpurascens,沐先运,萧迪,1274,20120825,北京市,,山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00083818.jpg,,,,,,,,,, +,Saussurea quercifolia,"杨亲二,孔宏智",98-382,19980910,云南省,4300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776978.jpg,,,,,,,,,, +,Saussurea quercifolia,"倪志诚,汪永泽,次多,次旦",1187,19800817,西藏自治区,4500,山坡流石堆,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393846.jpg,,,,,,,,,, +,Saussurea quercifolia,陈又生,7140,20070722,四川省,4800,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670894.jpg,,,,,,,,,, +倒齿风毛菊,Saussurea retroserrata,FLPH Tibet Expedition,12-2001,,西藏自治区,4300,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113429.jpg,,,,,,,,,, +倒齿风毛菊,Saussurea retroserrata,王清泉,21137,19790910,四川省,0~3200,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628104.jpg,,,,,,,,,, +倒齿风毛菊,Saussurea retroserrata,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2509,20090922,西藏,3640,高山草甸,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1436651.jpg,,,,,,,,,, +皱果风毛菊,Saussurea rhytidocarpa,陈又生,7151,20070723,四川省,4000,沙质坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671014.jpg,,,,,,,,,, +显鞘风毛菊,Saussurea rockii,青藏队,8771,19820726,云南省,3500,山坡灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393858.jpg,,,,,,,,,, +显鞘风毛菊,Saussurea rockii,H.T.Tsai,58056,19340818,,4000,pi lo shan,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030114.jpg,,,,,,,,,, +鸢尾叶风毛菊,Saussurea romuleifolia,王作宾,15898,19520721,陕西省,2300,山沟中,,有果无花,https://image.cvh.ac.cn/files/l/KUN/729632.jpg,,,,,,,,,, +鸢尾叶风毛菊,Saussurea romuleifolia,D.E. Boufford et al.,43221,20130824,四川省,4100,"Remnant forest adjacent open,moist meadow.Open meadow in stony loam among low herbs",,有花无果,https://image.cvh.ac.cn/files/l/PE/01919889.jpg,,,,,,,,,, +鸢尾叶风毛菊,Saussurea romuleifolia,"胡文光,何铸",10899,19510815,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393873.jpg,,,,,,,,,, +,Saussurea salwinensis,"E.V. Raab-Straube,M. Smalla & H. Sun",828,20000910,云南,4900,"Open herb communities on steep(40°),E-exposed,coarse moving limestone scree.",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498365.jpg,,,,,,,,,, +怒江风毛菊,Saussurea salwinensis,0,20393,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00118096.jpg,,,,,,,,,, +怒江风毛菊,Saussurea salwinensis,王启无,66043,19350800,西藏自治区,3800,Grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454035.jpg,,,,,,,,,, +糙毛风毛菊,Saussurea scabrida,王启无,69695,19350900,云南省,3500,Mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454054.jpg,,,,,,,,,, +糙毛风毛菊,Saussurea scabrida,"陈又生,毕延超",11-189,20110822,西藏自治区,4231,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016356.jpg,,,,,,,,,, +糙毛风毛菊,Saussurea scabrida,K.T.Fu,3134,1939-8 1,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0149172.jpg,,,,,,,,,, +半抱茎风毛菊,Saussurea semiamplexicaulis,康藏植物考察队,10-2103,20100817,西藏自治区,3670,山谷高山栎灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052837.jpg,,,,,,,,,, +半抱茎风毛菊,Saussurea semiamplexicaulis,徐连升,sc1502,20150930,四川省,3063,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084488.jpg,,,,,,,,,, +半抱茎风毛菊,Saussurea semiamplexicaulis,陈又生,9673,20090830,云南省,3080,山谷草丛或石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052861.jpg,,,,,,,,,, +锯叶风毛菊,Saussurea semifasciata,陈晓澄、肖洒等人,9850,20160809,青海,4562,流石滩砾石沟下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00021168.jpg,,,,,,,,,, +锯叶风毛菊,Saussurea semifasciata,不祥,608,19640810,青海省,4700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/003094.jpg,,,,,,,,,, +,Saussurea semifasciata,"Handel-Mazzetti, H.",4767,12-Aug-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00383904.jpg,,,,,,,,,, +,Saussurea semilyrata,彭玉兰、涂卫国、幸福,Gaoxf0127,20080716,四川,3860,坡地路旁,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0206840.jpg,,,,,,,,,, +半琴叶风毛菊,Saussurea semilyrata,FLPH Sichuan Expedition,152773,20150911,四川省,3650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084715.jpg,,,,,,,,,, +半琴叶风毛菊,Saussurea semilyrata,Gaoligong Shan Biodiversity Survey,31676,20060830,云南省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772594.jpg,,,,,,,,,, +绢毛风毛菊,Saussurea sericea,PE西藏队,PE5413,20170830,西藏自治区,5067,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891108.jpg,,,,,,,,,, +绢毛风毛菊,Saussurea sericea,,13,19670904,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00392636.jpg,,,,,,,,,, +绢毛风毛菊,Saussurea sericea,宋松泉,HN037,20081001,河南,1344,沟谷,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454413.jpg,,,,,,,,,, +,Saussurea souliei,陈又生,7431,20070813,四川省,3834,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110860.jpg,,,,,,,,,, +披针叶风毛菊,Saussurea souliei,西藏中草药普查队,899,19720730,西藏自治区,4700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/29110.jpg,,,,,,,,,, +,Saussurea souliei,"Soulié, J.A.",95,1893-8,,,,,,https://image.cvh.ac.cn/files/l/P/P00602908.jpg,,,,,,,,,, +尖苞风毛菊,Saussurea subulisquama,王作宾,14686,19510815,甘肃省,3200,高山草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882878.jpg,,,,,,,,,, +尖苞风毛菊,Saussurea subulisquama,杨永昌,1507,19650823,青海省,3700,草地山谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882877.jpg,,,,,,,,,, +尖苞风毛菊,Saussurea subulisquama,康藏植物考察队,10-1430,20100806,西藏自治区,4600~4800,流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882903.jpg,,,,,,,,,, +打箭风毛菊,Saussurea tatsienensis,徐连升,150411,20180905,青海省,3538,山坡云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084759.jpg,,,,,,,,,, +打箭风毛菊,Saussurea tatsienensis,,628,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882146.jpg,,,,,,,,,, +打箭风毛菊,Saussurea tatsienensis,徐连升,150232,20150814,陕西省,3741,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084764.jpg,,,,,,,,,, +草甸雪兔子,Saussurea thoroldii,Hopkingson,Ho 1024,19300901,,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00104552.jpg,,,,,,,,,, +草甸雪兔子,Saussurea thoroldii,,1285,19840829,西藏自治区,4400~4800,Chen Sandy slope with carex,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836530.jpg,,,,,,,,,, +草甸雪兔子,Saussurea thoroldii,刘全儒,ALT.444,20140802,新疆省,3546,湿地,草本,,https://image.cvh.ac.cn/files/l/BNU/0027576.jpg,,,,,,,,,, +西藏风毛菊,Saussurea tibetica,K.S.Hao,1106,19300902,,4500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454735.jpg,,,,,,,,,, +西藏风毛菊,Saussurea tibetica,吴磊,吴娱,XJ0078,20130627,新疆,,,,,https://image.cvh.ac.cn/files/l/BNU/BNU0022454.jpg,,,,,,,,,, +西藏风毛菊,Saussurea tibetica,"T.N.Ho(HNWp),B.Bartholomew(CAS),M.Watson(E)and M.G",1572,19960810,青海省,4090,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454739.jpg,,,,,,,,,, +,Saussurea uliginosa,G.Forrest,10603,19130700,云南省,3333,Open stony heavy pasture,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454808.jpg,,,,,,,,,, +湿地雪兔子?,Saussurea uliginosa,鞠文彬,张良,陈德奎,AZH01371,20160617,四川,3834,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0235452.jpg,,,,,,,,,, +,Saussurea uliginosa,"Forrest, George",20549,21-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00259826.jpg,,,,,,,,,, +波缘风毛菊,Saussurea undulata,秦仁昌,31028,19401115,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037992.jpg,,,,,,,,,, +波缘风毛菊,Saussurea undulata,,29376,1982-8 1,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0147592.jpg,,,,,,,,,, +,Saussurea variiloba,W.Y.Hsia,8527,19400908,甘肃省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068010.jpg,,,,,,,,,, +毡毛风毛菊,Saussurea velutina,徐连升,150194,20150809,湖北省,2607,岩石表面,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084236.jpg,,,,,,,,,, +毡毛风毛菊,Saussurea velutina,G.Forrest,13234,19140800,云南省,3667,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454839.jpg,,,,,,,,,, +,Saussurea velutina,"E.V. Raab-Straube,M. Smalla & H. Sun",800,20000910,云南,4750,"On NE-exposed, coarse stabilized limestone scree.",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498342.jpg,,,,,,,,,, +羌塘雪兔子,Saussurea wellbyi,"郭柯,郑度",12425,19880814,新疆维吾尔自治区,5050,河岸阶地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00454953.jpg,,,,,,,,,, +羌塘雪兔子,Saussurea wellbyi,刘全儒,ALT.344,20140729,新疆,5056,荒漠,草本,,https://image.cvh.ac.cn/files/l/BNU/0027457.jpg,,,,,,,,,, +羌塘雪兔子,Saussurea wellbyi,吴磊,QH0225,20130801,西藏省,4800~5000,,,,https://image.cvh.ac.cn/files/l/BNU/0023295.jpg,,,,,,,,,, +,Saussurea wettsteiniana,"E.V. Raab-Straube,M. Smalla & H. Sun",801,20000912,云南,3400,"Tall herbaceous vegetation in willow bush near mountain stream, granite.",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498344.jpg,,,,,,,,,, +垂头雪莲,Saussurea wettsteiniana,G.Forrest,30784,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00454991.jpg,,,,,,,,,, +垂头雪莲,Saussurea wettsteiniana,青藏队补点组,751043,19750802,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00455000.jpg,,,,,,,,,, +牛耳风毛菊,Saussurea woodiana,张盍曾,63104,19630724,青海省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/003096.jpg,,,,,,,,,, +牛耳风毛菊,Saussurea woodiana,S.G.Wu;H.Ohba;Y.H.Wu;Y.Fei,2258,19880820,新疆维吾尔自治区 ,5100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0216278.jpg,,,,,,,,,, +牛耳风毛菊,Saussurea woodiana,FLPH Sichuan Expedition,152926,20150913,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084659.jpg,,,,,,,,,, +云南风毛菊,Saussurea yunnanensis,,9105,,贵州省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628202.jpg,,,,,,,,,, +云南风毛菊,Saussurea yunnanensis,,6348,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00455050.jpg,,,,,,,,,, +,Saussurea yunnanensis,胡君、王东超、李丽、唐露,SC-a-078-B33,20180809,西藏,4300,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260044.jpg,,,,,,,,,, +狭叶虎耳草,Saxifraga angustata,藏药队,466B,19710713,青海省,4400,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/24655.jpg,,,,,,,,,, +狭叶虎耳草,Saxifraga angustata,胡文光,13448,19520911,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00183324.jpg,,,,,,,,,, +,Saxifraga angustata,"Smith, Karl August Harald",3829,19-Jul-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00373292.jpg,,,,,,,,,, +黑虎耳草,Saxifraga atrata,科学院黄河队 甘一队,1700,1956/7/22,甘肃省 ,,, 草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0082790.jpg,,,,,,,,,, +黑虎耳草,Saxifraga atrata,河西队,402,19670819,甘肃省,3400,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862182.jpg,,,,,,,,,, +黑虎耳草,Saxifraga atrata,Ho Ting-nung et al.,6,19930719,青海省,3940,"Alpine meadow on steep slope,degraded with much bare soil,Papaver nudicaule prominent.",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862183.jpg,,,,,,,,,, +阿墩子虎耳草,Saxifraga atuntsiensis,张发起、迟晓峰、高庆波,chen2014542,20140915,青海省,4880,高山流石滩、高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008117.jpg,,,,,,,,,, +,Saxifraga atuntsiensis,"Kingdon-Ward, Frank",43,11-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00373295.jpg,,,,,,,,,, +阿墩子虎耳草,Saxifraga atuntsiensis,Harry Smith,11747,19340822,四川,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814089.jpg,,,,,,,,,, +橙黄虎耳草,Saxifraga aurantiaca,余奇、熊先华、李琳霖,THP-KD-3757,20170804,四川,3512~3593,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255926.jpg,,,,,,,,,, +橙黄虎耳草,Saxifraga aurantiaca,"汤宗孝,田效文,张正华",744,19810804,云南省,3680,流山坡 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957490.jpg,,,,,,,,,, +橙黄虎耳草,Saxifraga aurantiaca,Harry Smith,11534,19340822,四川省,4600~4800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862190.jpg,,,,,,,,,, +耳状虎耳草,Saxifraga auriculata,鞠文彬,郑臣臣,THP-KD-6102,20170814,四川,3924,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255605.jpg,,,,,,,,,, +错那虎耳草,Saxifraga auriculata,青藏队补点组,751914,19750910,西藏自治区,3200,林下阴湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00683794.jpg,,,,,,,,,, +耳状虎耳草,Saxifraga auriculata,H.Smith,11521,19340827,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862225.jpg,,,,,,,,,, +白马山虎耳草,Saxifraga baimashanensis,青藏队,2362,19810713,云南省,4700,流石滩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896178.jpg,,,,,,,,,, +白马山虎耳草,Saxifraga baimashanensis,青藏队,2362,19810713,云南,4600-4700,流石滩上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1205243.jpg,,,,,,,,,, +碧江虎耳草,Saxifraga bijiangensis,武素功,8794,19640912,云南,4350,山坡岩石隙,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1205247.jpg,,,,,,,,,, +,Saxifraga brachypodoidea,,,,,,,,,,,,,,,,,,, +短茎虎耳草,Saxifraga brevicaulis,张永田,郎楷永,2395,19650901,西藏自治区,5000,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1258306.jpg,,,,,,,,,, +,Saxifraga brevicaulis,"Ludlow, Francis & Sherriff, George",8959,30-Jul-42,,,,,,https://image.cvh.ac.cn/files/l/E/E00373350.jpg,,,,,,,,,, +小泡虎耳草,Saxifraga bulleyana,秦仁昌,30973,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01666829.jpg,,,,,,,,,, +,Saxifraga bulleyana,"Forrest, George",6341,10-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00373360.jpg,,,,,,,,,, +顶峰虎耳草,Saxifraga cacuminum,青藏队,5007,19810818,四川省,4700,"山坡,草地",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862301.jpg,,,,,,,,,, +顶峰虎耳草,Saxifraga cacuminum,余奇、周晓雪,THP-KD-4200,20170713,四川,3931~4278,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255594.jpg,,,,,,,,,, +灯架虎耳草,Saxifraga candelabrum,Favre & Matuszak,162,20110824,云南省 ,3214,on rocky hills in limestone rock crevices,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1230163.jpg,,,,,,,,,, +,Saxifraga candelabrum,"Delavay, J.M.",69,1884-8-31,,,,,,https://image.cvh.ac.cn/files/l/P/P00735162.jpg,,,,,,,,,, +灯架虎耳草,Saxifraga candelabrum,M.Iabbe Delavay,69,18880500,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01922458.jpg,,,,,,,,,, +心叶虎耳草,Saxifraga cardiophylla,四川省植被调查队,4124,19730924,四川省,4600,林下,阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862316.jpg,,,,,,,,,, +心叶虎耳草,Saxifraga cardiophylla,Favre,1208,20120906,云南省 ,3449,in forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1230193.jpg,,,,,,,,,, +,Saxifraga cardiophylla,张挺,李爱花等,08CS862,20080925,四川,3510,路边草坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238078.jpg,,,,,,,,,, +肉质虎耳草,Saxifraga carnosula,青藏队,5059,19810819,四川省,4300,山坡,灌丛下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00862366.jpg,,,,,,,,,, +肉质虎耳草,Saxifraga carnosula,史效武,MlS-244,20090922,云南省,4787,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001425.jpg,,,,,,,,,, +,Saxifraga carnosula,J. F. Rock,16597,28-Jun,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00046962.jpg,,,,,,,,,, +,Saxifraga champutungensis,周浙昆,苏涛,杨莹,张芳茗,李国锋,黄永江,Zhou09-116,20091014,四川,4315,灌丛,高山草甸,流石滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238080.jpg,,,,,,,,,, +雪地虎耳草,Saxifraga chionophila,亚吉东,冯明建,李昌洪,20CS19110,20200705,云南,4578,流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505597.jpg,,,,,,,,,, +雪地虎耳草,Saxifraga chionophila,G.Forrest,6037,19100000,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00862372.jpg,,,,,,,,,, +雪地虎耳草,Saxifraga chionophila,陈世龙、张得钧、段义忠,chen2007056,20070802,西藏自治区,4410,鲜卑花、山生柳灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008314.jpg,,,,,,,,,, +拟黄花虎耳草,Saxifraga chrysanthoides,R.C.Ching,30458,19390803,云南省,4000,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862403.jpg,,,,,,,,,, +假黄花虎耳草,Saxifraga chrysanthoides,青藏队,5848,19810830,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/005862.jpg,,,,,,,,,, +灰虎耳草,Saxifraga cinerascens,G.Forrest,15172,19170000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862383.jpg,,,,,,,,,, +灰虎耳草,Saxifraga cinerascens,何荻平,43340,19560507,四川省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00183557.jpg,,,,,,,,,, +,Saxifraga cinerascens,"Forrest, George",6628,10-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00373317.jpg,,,,,,,,,, +枕状虎耳草,Saxifraga culcitosa,,11613,19340829,四川省,4700~4900,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00862398.jpg,,,,,,,,,, +枕状虎耳草,Saxifraga culcitosa,高云东,黎怀成,郑臣臣,THP-KD-2397,20170713,四川,4500~4700,,垫状草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255583.jpg,,,,,,,,,, +,Saxifraga culcitosa,"Rock, J.F.",16840,28-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00386303.jpg,,,,,,,,,, +稻城虎耳草,Saxifraga daochengensis,青藏队,4353,19810826,四川省,3600,"山坡,云杉林下岩石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00858017.jpg,,,,,,,,,, +稻城虎耳草,Saxifraga daochengensis,,199,19790806,四川,4000,阴山,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM706501717.jpg,,,,,,,,,, +矮生虎耳草,Saxifraga decussata,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191387,20190920,云南,3494,亚热带针阔混交林,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484591.jpg,,,,,,,,,, +,Saxifraga decussata,"Forrest, George",12640,14-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00346614.jpg,,,,,,,,,, +密叶虎耳草,Saxifraga densifoliata,高云东,黎怀成,THP-KD-4744,20170811,四川,3400-3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241310.jpg,,,,,,,,,, +,Saxifraga densifoliata,张挺,刘成,郭明明,郑伟光,11CS3660,20111020,云南,3795,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238084.jpg,,,,,,,,,, +密叶虎耳草,Saxifraga densifoliata,"川西队,关克俭,王文采等",790,19630720,四川省,3600,山坡岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093016.jpg,,,,,,,,,, +德钦虎耳草,Saxifraga deqenensis,PE西藏考察队,7571,20180621,西藏自治区,3796~4100,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333820.jpg,,,,,,,,,, +德钦虎耳草,Saxifraga deqenensis,青藏队,2359A,19810713,云南省,4800,西坡流石滩上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00858023.jpg,,,,,,,,,, +滇西北虎耳草,Saxifraga dianxibeiensis,G.Forrest,6358,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862497.jpg,,,,,,,,,, +滇西北虎耳草,Saxifraga dianxibeiensis,张挺,郭永杰,吴之坤,姜虹,李贵能,16CS12658,20160821,四川,3850,公路边山坡,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1439448.jpg,,,,,,,,,, +岩梅虎耳草,Saxifraga diapensia,,14539,19170000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862421.jpg,,,,,,,,,, +岩梅虎耳草,Saxifraga diapensia,生态室高原组,14747,19800902,西藏自治区,4300,高山 杂类草甸常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494616.jpg,,,,,,,,,, +岩梅虎耳草,Saxifraga diapensia,Y.C.Wu,401,,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00339220.jpg,,,,,,,,,, +川西虎耳草,Saxifraga dielsiana,T.T.Yu,19625,19380804,云南省,2450,Upon precipitous rock,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862501.jpg,,,,,,,,,, +川西虎耳草,Saxifraga dielsiana,Harry Smith,10579,19341107,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00339227.jpg,,,,,,,,,, +散痂虎耳草,Saxifraga diffusicallosa,青藏队,74-2469,19740914,西藏自治区,3900,山坡,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858028.jpg,,,,,,,,,, +散痂虎耳草,Saxifraga diffusicallosa,杨竞生,89-097,1989-10-,西藏省,4100,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145770.jpg,,,,,,,,,, +,Saxifraga diffusicallosa,"Ludlow, Frank; Sherriff, George & Taylor, George",6124,12-Aug-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00373334.jpg,,,,,,,,,, +,Saxifraga dingqingensis,,,,,,,,,,,,,,,,,,, +叉枝虎耳草,Saxifraga divaricata,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191482,20190926,云南,4274,亚热带,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483349.jpg,,,,,,,,,, +叉枝虎耳草,Saxifraga divaricata,郭先林、卫静丽,2038521,20200701,四川,4622,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02038521.jpg,,,,,,,,,, +叉枝虎耳草,Saxifraga divaricata,蔡希陶,59710,19341007,云南省,3560,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00183784.jpg,,,,,,,,,, +,Saxifraga doyalana,,,,,,,,,,,,,,,,,,, +葶苈虎耳草,Saxifraga drabiformis,G.Forrest,16974,19180000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862506.jpg,,,,,,,,,, +,Saxifraga drabiformis,"Delavay, J.M.",,1886-8-14,,,,,,https://image.cvh.ac.cn/files/l/P/P00136572.jpg,,,,,,,,,, +中甸虎耳草,Saxifraga draboides,北京所横断山队,2892,19810810,云南省,4100,高山 流石坡上石壁上偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494613.jpg,,,,,,,,,, +,Saxifraga draboides,张挺,亚吉东,李明勤,王关友,11CS3395,20110918,云南,4860,高山流石滩,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1301130.jpg,,,,,,,,,, +,Saxifraga draboides,,32,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/072019.jpg,,,,,,,,,, +无爪虎耳草,Saxifraga dshagalensis,J.F.ROCK,10042,19230700,云南省,0~4200,,,有花无果,https://image.cvh.ac.cn/files/l/N/117066192.jpg,,,,,,,,,, +长毛梗虎耳草,Saxifraga eglandulosa,青藏队补点组,751516,19750825,西藏自治区,4500,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858087.jpg,,,,,,,,,, +虎耳草属,Saxifraga eglandulosa,西藏生物所植物资源队,3528,19830809,西藏,4100,冷杉林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0002744.jpg,,,,,,,,,, +,Saxifraga egregia,陈家辉,王赟,刘德团等,YangYP-Q-3157,20100914,西藏,3629,林下,直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1238096.jpg,,,,,,,,,, +麻花头,Saxifraga egregia,孙瑜,BJTC009486,20190701,北京市,859,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC009486.jpg,,,,,,,,,, +优越虎耳草,Saxifraga egregia,Fu Kun-tsun,1528,,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145837.jpg,,,,,,,,,, +矮优越虎耳草,Saxifraga egregioides,程树志等 ,747,19820907,西藏自治区,,冷杉林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804434.jpg,,,,,,,,,, +,Saxifraga elliotii,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",12309,26-Mar-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00373347.jpg,,,,,,,,,, +,Saxifraga erectisepala,,,,,,,,,,,,,,,,,,, +区限虎耳草,Saxifraga finitima,张挺,郭永杰,16CS13677,20160901,四川,4782,高山草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435635.jpg,,,,,,,,,, +,Saxifraga finitima,"Kingdon-Ward, Frank",47,,,,,,,https://image.cvh.ac.cn/files/l/E/E00373298.jpg,,,,,,,,,, +区限虎耳草,Saxifraga finitima,ACE,1780,19941006,云南省,4200~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01794636.jpg,,,,,,,,,, +柔弱虎耳草,Saxifraga flaccida,青藏队植被组,5774,19750805,西藏自治区,5000,流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00052256.jpg,,,,,,,,,, +柔弱虎耳草,Saxifraga flaccida,J.F.ROCK,17163,19230800,云南省,0~4300,,,有花无果,https://image.cvh.ac.cn/files/l/N/117066215.jpg,,,,,,,,,, +,Saxifraga flexilis,"Kingdon-Ward, Frank",4668,21-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00373301.jpg,,,,,,,,,, +曲茎虎耳草,Saxifraga flexilis,青藏队,5563,19810829,四川省,4600,"山坡,岩石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862601.jpg,,,,,,,,,, +曲茎虎耳草,Saxifraga flexilis,北京所横断山队,3668,19810824,云南省,4150~4400,高山灌丛草甸岩壁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494609.jpg,,,,,,,,,, +玉龙虎耳草,Saxifraga forrestii,G.Forrest,6575,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862594.jpg,,,,,,,,,, +,Saxifraga forrestii,"Forrest, George",6575,10-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00386304.jpg,,,,,,,,,, +格当虎耳草,Saxifraga gedangensis,青藏队植被组,14683,19800901,西藏自治区,3400,冷杉林间草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494810.jpg,,,,,,,,,, +,Saxifraga gedangensis,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-1555,20080921,西藏,4327,高山灌丛,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1301131.jpg,,,,,,,,,, +格当虎耳草,Saxifraga gedangensis,张挺,郭永杰,吴之坤,姜虹,李贵能,16CS13600,20160823,四川,3322,公路边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1439465.jpg,,,,,,,,,, +冰雪虎耳草,Saxifraga glacialis,青海铁卜加牧草试验站,72-150,19720000,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862621.jpg,,,,,,,,,, +冰雪虎耳草,Saxifraga glacialis,,20222,19600803,四川,4150,普遍,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM706501678.jpg,,,,,,,,,, +冰雪虎耳草,Saxifraga glacialis,,13127,19140800,云南省,,On ledges of cliffs and limestone screes on the Kari pass,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858346.jpg,,,,,,,,,, +灰叶虎耳草,Saxifraga glaucophylla,H.T.Tsai,52015,1932/9/13,云南省 ,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0041753.jpg,,,,,,,,,, +灰叶虎耳草,Saxifraga glaucophylla,生态室高原组,14780,19800902,西藏自治区,3400,冷杉林间草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494811.jpg,,,,,,,,,, +,Saxifraga glaucophylla,"Delavay, J.M.",761,1884-9-25,,,,,,https://image.cvh.ac.cn/files/l/P/P00709182.jpg,,,,,,,,,, +贡嘎山虎耳草,Saxifraga gonggashanensis,青藏队,5566,19810829,四川省,4600,"山坡,灌丛草地",草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00858366.jpg,,,,,,,,,, +,Saxifraga gonggashanensis,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-014-B16,20160804,四川,,高山栎群落中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609415.jpg,,,,,,,,,, +加拉虎耳草,Saxifraga gyalana,"倪志诚,汪永泽,次多,次旦",1119,19800815,西藏自治区,4200,"山坡,云冷杉林中,岩石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862640.jpg,,,,,,,,,, +,Saxifraga gyalana,"Kingdon-Ward, Frank",5963,20-Jan-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00393005.jpg,,,,,,,,,, +加拉虎耳草,Saxifraga gyalana,高庆波、李彦、贾留坤,Gao2018154,20180813,西藏,4134,路边阴坡石隙,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026858.jpg,,,,,,,,,, +六痂虎耳草,Saxifraga haplophylloides,"杨亲二,孔宏智",98-355,19980910,云南省,4100,山坡林下草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01957428.jpg,,,,,,,,,, +六痂虎耳草,Saxifraga haplophylloides,青藏队,751904,19750910,西藏自治区,3200~3600,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862641.jpg,,,,,,,,,, +六痂虎耳草,Saxifraga haplophylloides,J.M.Delavay,,18831019,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1208473.jpg,,,,,,,,,, +,Saxifraga heteroeladoides,,,,,,,,,,,,,,,,,,, +异毛虎耳草,Saxifraga heterotricha,程树志等 ,6266,19830808,西藏自治区,3400,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804439.jpg,,,,,,,,,, +异毛虎耳草,Saxifraga heterotricha,Favre & Matuszak,63,20110809,云南省 ,3907,in rock crevices,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1230165.jpg,,,,,,,,,, +,Saxifraga heterotricha,"Kingdon-Ward, Frank",s.n.,18-Aug-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00393004.jpg,,,,,,,,,, +金丝桃虎耳草,Saxifraga hypericoides,"杨亲二,孔宏智",98-263,19980905,云南省,4300,路边岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957400.jpg,,,,,,,,,, +,Saxifraga hypericoides,张挺,郭永杰,刘成,杨娟,孙之星,张云川,08CS610,20080902,云南,2870,公路边,草本,,https://image.cvh.ac.cn/files/l/KUN/1238125.jpg,,,,,,,,,, +金丝桃虎耳草,Saxifraga hypericoides,C.W. Wang,70294,1935/09/,云南省 ,2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0066261.jpg,,,,,,,,,, +藏东虎耳草,Saxifraga implicans,C.W. Wang,65205,1935/08/,云南省 ,2500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0039336.jpg,,,,,,,,,, +,Saxifraga implicans,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",15582,10-Aug-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00373345.jpg,,,,,,,,,, +藏东虎耳草,Saxifraga implicans,青藏队,3376,19810807,四川省,3800~3900,"山沟,林下",,有花无果,https://image.cvh.ac.cn/files/l/PE/00863060.jpg,,,,,,,,,, +贡山虎耳草,Saxifraga insolens,G.Forrest,18495,19190900,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863078.jpg,,,,,,,,,, +,Saxifraga insolens,"Forrest, George",18495,19-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00386289.jpg,,,,,,,,,, +贡山虎耳草,Saxifraga insolens,李红、白洪兵,533324180905714LY,20180905,云南,2605,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009134.jpg,,,,,,,,,, +林芝虎耳草,Saxifraga isophylla,PE西藏队,PE6863,20170917,西藏自治区,3971,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333534.jpg,,,,,,,,,, +林芝虎耳草,Saxifraga isophylla,邢睿、王久利、刘海瑞、高庆波,chen2014110,20140721,四川省,3620,溪畔灌丛下阴湿生境,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008954.jpg,,,,,,,,,, +,Saxifraga isophylla,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",14329,11-Aug-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00373344.jpg,,,,,,,,,, +,Saxifraga jainzhuglaensis,,,,,,,,,,,,,,,,,,, +九窝虎耳草,Saxifraga kongboensis,"李渤生,程树志",1993,19821202,西藏自治区,2400,"山顶,岩石上时见",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862692.jpg,,,,,,,,,, +,Saxifraga kongboensis,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13631,7-May-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00373343.jpg,,,,,,,,,, +条叶虎耳草,Saxifraga linearifolia,D.E.Boufford et al.,32722,20050709,四川省,3800~4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898968.jpg,,,,,,,,,, +条叶虎耳草,Saxifraga linearifolia,北京所横断山队,2200,19810728,云南省,3900~4200,高山草甸上部及石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494683.jpg,,,,,,,,,, +,Saxifraga linearifolia,王乾、顾健,SCW1233,20190811,四川,4500,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0266870.jpg,,,,,,,,,, +理塘虎耳草,Saxifraga litangensis,罗建等,LuoJian-ML030,20090926,西藏自治区,4948,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898984.jpg,,,,,,,,,, +理塘虎耳草,Saxifraga litangensis,Favre & Matuszak,118,20110819,云南省 ,4485,rock crevices and alpine meadows,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1230171.jpg,,,,,,,,,, +理塘虎耳草,Saxifraga litangensis,付鹏程、高庆波,chen2012237,20120810,四川省,4340,杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008735.jpg,,,,,,,,,, +,Saxifraga lixianensis,,,,,,,,,,,,,,,,,,, +,Saxifraga loripes,"Forrest, George",16814,18-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00373287.jpg,,,,,,,,,, +,Saxifraga ludlowii,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13968,22-Jun-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00373338.jpg,,,,,,,,,, +,Saxifraga lumpuensis,宋朝枢、朱德俊,11680,19570510,山西,3900,山谷,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00013182.jpg,,,,,,,,,, +道孚虎耳草,Saxifraga lumpuensis,生物所,9233,1975-07-,四川省,4160,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145951.jpg,,,,,,,,,, +道孚虎耳草,Saxifraga lumpuensis,廉永善等,96718,19960818,甘肃省,3080,石山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01800821.jpg,,,,,,,,,, +,Saxifraga lushuiensis,张挺,亚吉东,李明勤,王关友,11CS3376,20110918,云南,4252,高山灌草丛,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1301139.jpg,,,,,,,,,, +假大柱头虎耳草,Saxifraga macrostigmatoides,"杨亲二,孔宏智",98-280,19980905,云南省,4300,山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957403.jpg,,,,,,,,,, +假大柱头虎耳草,Saxifraga macrostigmatoides,C.W. Wang,68920,1935/08/,云南省 ,3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0045300.jpg,,,,,,,,,, +假大柱头虎耳草,Saxifraga macrostigmatoides,邢睿、刘海瑞、高庆波,chen2014506,20140829,西藏自治区,4200,溪边灌丛、石隙、石坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008928.jpg,,,,,,,,,, +马熊沟虎耳草,Saxifraga maxionggouensis,陈生云、张得钧、高庆波,chen06261,20060918,四川省,3910,林下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008671.jpg,,,,,,,,,, +马熊沟虎耳草,Saxifraga maxionggouensis,青藏队,4877,19810716,四川,3750,河滩,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0438410.jpg,,,,,,,,,, +墨脱虎耳草,Saxifraga medogensis,陈伟烈,15106,19800924,西藏自治区,3700,灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494607.jpg,,,,,,,,,, +小果虎耳草,Saxifraga microgyna,T.T.Yu,9142,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858812.jpg,,,,,,,,,, +,Saxifraga microgyna,彭玉兰、涂卫国、幸福,Gaoxf0145,20080716,四川,4111,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0205602.jpg,,,,,,,,,, +小果虎耳草,Saxifraga microgyna,陈世龙、张得钧、张发起、高庆波,chen2008004,20080730,青海省,4310,金露梅灌丛、高寒草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008306.jpg,,,,,,,,,, +,Saxifraga miralana,陈家辉,庄会富,边巴扎西,YangYP-Q-2136,20090820,西藏,4577,沼泽草甸,直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1238153.jpg,,,,,,,,,, +,Saxifraga miralana,"Ludlow, Frank: Sherriff, George & Taylor, George",6078,16-Aug-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00373337.jpg,,,,,,,,,, +四数花虎耳草,Saxifraga monantha,H.Smith,12009,19340910,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862822.jpg,,,,,,,,,, +四数花虎耳草,Saxifraga monantha,PE西藏队,PE5405,20170830,西藏自治区,5067,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333542.jpg,,,,,,,,,, +四数花虎耳草,Saxifraga monantha,史效武,MLS-101,20090918,云南省,4819,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006417.jpg,,,,,,,,,, +平脉腺虎耳草,Saxifraga nakaoides,青藏队补点组,951977,19750912,西藏自治区,4200,"高山,草甸",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862891.jpg,,,,,,,,,, +,Saxifraga nambulana,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13850,5-Jun-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00373336.jpg,,,,,,,,,, +矮生虎耳草,Saxifraga nana,青藏队,5131,19810822,四川省,4200,"高山,湖泊岸边",,有花无果,https://image.cvh.ac.cn/files/l/PE/00863081.jpg,,,,,,,,,, +矮生虎耳草,Saxifraga nana,不祥,200,19640701,青海省,4850,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/004018.jpg,,,,,,,,,, +矮生虎耳草,Saxifraga nana,何廷农,2157,19910714,甘肃省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/166319.jpg,,,,,,,,,, +拟光缘虎耳草,Saxifraga nanelloides,梅里队,26709,19920828,云南省,4800,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005846.jpg,,,,,,,,,, +拟光缘虎耳草,Saxifraga nanelloides,方震东,RS-347,20021005,云南,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008894.jpg,,,,,,,,,, +,Saxifraga nangqenica,陈世龙,高庆波,张发起等,ChenSL0730,20090820,青海,4690,高山草甸,流石滩,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1238161.jpg,,,,,,,,,, +囊谦虎耳草,Saxifraga nangqenica,陈世龙、张得钧、段义忠,chen2007023,20070731,青海省,4600,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008971.jpg,,,,,,,,,, +朗县虎耳草,Saxifraga nangxianensis,青藏队补点队,751492,19750821,西藏自治区,4750,山顶草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859007.jpg,,,,,,,,,, +无斑虎耳草,Saxifraga omphalodifolia,,27,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/065250.jpg,,,,,,,,,, +无斑虎耳草,Saxifraga omphalodifolia,G.Forrest,13144,19140800,云南省,4000,Open situations on the margins of pine forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862925.jpg,,,,,,,,,, +无斑虎耳草,Saxifraga omphalodifolia,T.T.Yu,7800,19370819,四川省,3400,Under woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862924.jpg,,,,,,,,,, +山生虎耳草,Saxifraga oresbia,青藏队,5109,19810822,四川省,4450,"高山,湖泊岸边",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862929.jpg,,,,,,,,,, +,Saxifraga oresbia,"Kingdon-Ward, Frank",4939,4-Sep-21,,,,,,https://image.cvh.ac.cn/files/l/E/E00373389.jpg,,,,,,,,,, +,Saxifraga oresbia,余奇,郑臣臣,Y-DC-01,20180804,四川,4604.5,高山岩石缝隙,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0246190.jpg,,,,,,,,,, +派区虎耳草,Saxifraga paiquensis,"李渤生,程树志,倪志诚",5848,19830726,西藏自治区,4400~4800,高山 冰碛砾石内时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494307.jpg,,,,,,,,,, +豹纹虎耳草,Saxifraga pardanthina,陈实,204,1960/9/3,青海省,3700,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0182718.jpg,,,,,,,,,, +,Saxifraga pardanthina,"Forrest, George",22379,22-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00373391.jpg,,,,,,,,,, +豹纹虎耳草,Saxifraga pardanthina,T.T.Yu,14258,19370913,四川省,,丛林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862962.jpg,,,,,,,,,, +巴格虎耳草,Saxifraga parkaensis,青藏队植被组,13330,19760718,西藏自治区,5200,高山草甸。,,有花无果,https://image.cvh.ac.cn/files/l/PE/00052200.jpg,,,,,,,,,, +巴格虎耳草,Saxifraga parkaensis,吴玉虎,1101,19800727,青海省,4620,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/112415.jpg,,,,,,,,,, +微虎耳草,Saxifraga parvula,北京所横断山队,3659,19810824,云南省,4150~4400,高山灌丛草甸岩壁上常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01494315.jpg,,,,,,,,,, +微虎耳草,Saxifraga parvula,"张挺, 郭永杰, 吴之坤, 姜虹, 李贵能",16CS12622,20160818,四川,3349,岩石上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452043.jpg,,,,,,,,,, +,Saxifraga parvula,"Forrest, George",6158,10-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00373375.jpg,,,,,,,,,, +透明虎耳草,Saxifraga pellucida,王启无,70294,19350900,云南省,2700,Grassy slope,Herbs,有花无果,https://image.cvh.ac.cn/files/l/PE/00859238.jpg,,,,,,,,,, +洱源虎耳草,Saxifraga peplidifolia,中国科学院植物研究所,13828,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862972.jpg,,,,,,,,,, +洱源虎耳草,Saxifraga peplidifolia,北京所横断山队,02095B,19810728,云南省,4000~4250,高山草甸上部及高山岩隙中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494333.jpg,,,,,,,,,, +洱源虎耳草,Saxifraga peplidifolia,,33175,19210600,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/117066283.jpg,,,,,,,,,, +,Saxifraga pratensis,陆露,Peter W Fritsch,张永彪,张明英,陈小涛,WH-2013-291,20130924,云南,4174,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321151.jpg,,,,,,,,,, +草地虎耳草,Saxifraga pratensis,青藏队,5034,19810818,四川省,4800,"山坡,灌丛,草地",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862992.jpg,,,,,,,,,, +草地虎耳草,Saxifraga pratensis,G.Forrest,11208,19130000,云南省,3333~3666,Open stony pasture on the mountains,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863241.jpg,,,,,,,,,, +康定虎耳草,Saxifraga prattii,H.Smith,11751,19340822,四川省,4500~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862995.jpg,,,,,,,,,, +,Saxifraga prattii,"Rock, J.F.",16597,28-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00373299.jpg,,,,,,,,,, +毛茎虎耳草,Saxifraga prattii,彭玉兰、张君议、郑臣臣,THP-KD-3489,20170716,四川,3768~4150,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255357.jpg,,,,,,,,,, +青藏虎耳草,Saxifraga przewalskii,地理所,142,,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859266.jpg,,,,,,,,,, +青藏虎耳草,Saxifraga przewalskii,青藏队补点组,750760,19250725,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859273.jpg,,,,,,,,,, +青藏虎耳草,Saxifraga przewalskii,河西队,457,19670819,甘肃省,3400,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859248.jpg,,,,,,,,,, +美丽虎耳草,Saxifraga pulchra,C.W. Wang,71060,1935/07/,云南省 ,3000,,Bushes,有花无果,https://image.cvh.ac.cn/files/l/WUK/0066517.jpg,,,,,,,,,, +美丽虎耳草,Saxifraga pulchra,C.H.Chen et al.,4304,20020815,台湾省,2000~2100,Forest margin,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898897.jpg,,,,,,,,,, +美丽虎耳草,Saxifraga pulchra,青藏队,5520,19810829,四川省,4400,"山坡,岩石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00863013.jpg,,,,,,,,,, +拟小斑虎耳草,Saxifraga punctulatoides,"吴征镒,陈书坤,杜庆,庐树林",75-1127,19750720,西藏自治区,5020,石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859338.jpg,,,,,,,,,, +日照山虎耳草,Saxifraga rizhaoshanensis,青藏队,3496,19810807,四川省,4450,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896200.jpg,,,,,,,,,, +圆瓣虎耳草,Saxifraga rotundipetala,,76-345,19760717,西藏自治区,3900,冰川侧碛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458446.jpg,,,,,,,,,, +红虎耳草,Saxifraga sanguinea,余奇、熊先华、李琳霖,THP-KD-3870,20170806,四川,3747~3899,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250046.jpg,,,,,,,,,, +红虎耳草,Saxifraga sanguinea,J.Ebersbach,1472,20140826,云南省,4175,rock crevices,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1258200.jpg,,,,,,,,,, +红虎耳草,Saxifraga sanguinea,普查队,178,19790630,炉岩,,草丛,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM706501720.jpg,,,,,,,,,, +景天虎耳草,Saxifraga sediformis,T.T.Yu,12461,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859522.jpg,,,,,,,,,, +景天虎耳草,Saxifraga sediformis,C.W. Wang,70116,1935/09/,云南省 ,2700,,Bushes,有花无果,https://image.cvh.ac.cn/files/l/WUK/0066268.jpg,,,,,,,,,, +景天虎耳草,Saxifraga sediformis,青藏队,73-1187,19730821,西藏自治区,3900,"山坡,流石滩,岩石滩",,有花无果,https://image.cvh.ac.cn/files/l/PE/00859524.jpg,,,,,,,,,, +加查虎耳草,Saxifraga sessiliflora,中日考察队,T661,19900618,西藏自治区,5300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863132.jpg,,,,,,,,,, +舍季拉虎耳草,Saxifraga sheqilaensis,生态室高原组,15603,19800917,西藏自治区,4100,林缘 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494807.jpg,,,,,,,,,, +西南虎耳草,Saxifraga signata,T.T.Yu,7761,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863154.jpg,,,,,,,,,, +西南虎耳草,Saxifraga signata,,15441,19600806,四川,3900,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM706501713.jpg,,,,,,,,,, +西南虎耳草,Saxifraga signata,"T.N.Ho,B.Bartholomew,M.Watson and M.Gilbert",1949,19960816,青海省,3450,"Base of rocky cliff,steep slope with small,often mossy,pockets of soil",,有花无果,https://image.cvh.ac.cn/files/l/PE/00863143.jpg,,,,,,,,,, +藏中虎耳草,Saxifraga signatella,苏大学,1-003,19850804,西藏自治区,4300,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863169.jpg,,,,,,,,,, +,Saxifraga signatella,李晖,文雪梅,次旺加布,边巴,Lihui-Q-0116,20080918,西藏,4673,高山灌丛草原岩石坡地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238199.jpg,,,,,,,,,, +繁缕虎耳草,Saxifraga stellariifolia,58年秦岭队,10242,19580628,陕西省,2390,半阳处 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01387963.jpg,,,,,,,,,, +繁缕虎耳草,Saxifraga stellariifolia,郭先林、肖燕萍,2041374,20200722,四川,4622,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02041374.jpg,,,,,,,,,, +繁缕虎耳草,Saxifraga stellariifolia,Feng,2155,19390823,云南省,,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863203.jpg,,,,,,,,,, +近等叶虎耳草,Saxifraga subaequifoliata,H.T.Tsai,54140,1933/9/4,云南省 ,3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0042003.jpg,,,,,,,,,, +,Saxifraga subaequifoliata,陆露,Peter W Fritsch,张永彪,张明英,陈小涛,WH-2013-304,20130924,云南,3396,高山流石滩岩石边,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321149.jpg,,,,,,,,,, +近等叶虎耳草,Saxifraga subaequifoliata,李渤生等,634,19820905,西藏自治区,3500~3900,冷杉林缘灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804416.jpg,,,,,,,,,, +近抱茎虎耳草,Saxifraga subamplexicaulis,G.Forrest,2965,19060000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863243.jpg,,,,,,,,,, +,Saxifraga subamplexicaulis,"Forrest, George",2965,6-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00373367.jpg,,,,,,,,,, +川西南虎耳草,Saxifraga subomphalodifolia,青藏队,5463,19810828,四川省,4200,"山坡,落叶林,松林下",草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00859694.jpg,,,,,,,,,, +,Saxifraga subternata,"Ludlow, Frank: Sherriff, George & Taylor, George",4593,1-Jun-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00373335.jpg,,,,,,,,,, +藏东南虎耳草,Saxifraga subtsangchanensis,李渤生等,1182,19821008,西藏自治区,4300,高山岩石中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01804406.jpg,,,,,,,,,, +藏东南虎耳草,Saxifraga subtsangchanensis,高山监测团队,MJW-53,20061008,云南,4354,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008300.jpg,,,,,,,,,, +线叶虎耳草,Saxifraga taraktophylla,"吴征镒,陈书坤,杜庆,庐树林",75-1150,19750806,西藏自治区,3650,大石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00860239.jpg,,,,,,,,,, +线叶虎耳草,Saxifraga taraktophylla,方震东、海仙、刘琳、魏国政,HP-128,20090704,云南省,3207,高山栎林群落,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000982.jpg,,,,,,,,,, +西藏虎耳草,Saxifraga tibetica,邢睿、王久利、刘海瑞、高庆波,chen2014246,20140729,四川省,4570,高寒草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00009014.jpg,,,,,,,,,, +西藏虎耳草,Saxifraga tibetica,郑度,12618,19880819,新疆维吾尔自治区,4700,河滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352593.jpg,,,,,,,,,, +西藏虎耳草,Saxifraga tibetica,S.G.Wu H.Ohba Y.H.Wu;Y.Fei,2402,19880814,新疆维吾尔自治区 ,0~5000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/150625.jpg,,,,,,,,,, +近米林虎耳草(变种),Saxifraga tigrina,方震东、李新华,309,19800819,云南省,4000,高山流石滩灌丛,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001899.jpg,,,,,,,,,, +,Saxifraga tigrina,王乾、顾健,SCW1230,20190811,四川,4500,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0266871.jpg,,,,,,,,,, +,Saxifraga tigrina,罗建,汪书丽,王国严,LiuJQ-09XZ-354,20091010,西藏,3938,林缘灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238256.jpg,,,,,,,,,, +三芒虎耳草,Saxifraga triaristulata,高云东,黎怀成,THP-KD-4784,20170812,四川,4400~4700,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250042.jpg,,,,,,,,,, +三芒虎耳草,Saxifraga triaristulata,"杨亲二,孔宏智",98008,19990820,云南省,4450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957454.jpg,,,,,,,,,, +三芒虎耳草,Saxifraga triaristulata,史国宝,s.n.,Sep-80,青海省,3200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0146357.jpg,,,,,,,,,, +苍山虎耳草,Saxifraga tsangchanensis,"杨亲二,孔宏智",98-359,19980910,云南省,4300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957412.jpg,,,,,,,,,, +苍山虎耳草,Saxifraga tsangchanensis,林业部林型组,87,19550000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00860291.jpg,,,,,,,,,, +苍山虎耳草,Saxifraga tsangchanensis,高山检测团队,MJW-35,20061007,云南,4100,高山杜鹃灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008299.jpg,,,,,,,,,, +,Saxifraga versicallosa,北京所横断山队,3602,19810824,云南省,4150~4400,高山灌丛草甸中岩石优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494611.jpg,,,,,,,,,, +,Saxifraga versicallosa,陈家辉,刘亚辉,周妍,赵艳丽,吴志刚,熊力军,YangYP-Q-2253,20090920,四川,4731,高山灌丛,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1238264.jpg,,,,,,,,,, +光梗虎耳草,Saxifraga wardii,刘全儒,ALT.344,20140729,新疆,4817,荒漠,草,,https://image.cvh.ac.cn/files/l/BNU/0028454.jpg,,,,,,,,,, +,Saxifraga wardii,"Kingdon-Ward, Frank",46,11-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00393013.jpg,,,,,,,,,, +,Saxifraga wardii,罗建,王国严等,LiuJQ-08XZ-038,20080720,西藏,4448,路边岩石草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238267.jpg,,,,,,,,,, +汶川虎耳草,Saxifraga wenchuanensis,郎楷永 李良千 费勇,1140,19830818,四川省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896205.jpg,,,,,,,,,, +雅鲁藏布虎耳草,Saxifraga yarlungzangboensis,青藏队那曲分队陶德定,11251,19760906,西藏自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/58145.jpg,,,,,,,,,, +叶枝虎耳草,Saxifraga yezhiensis,王启无/C.W.Wang,68336,19350800,云南省,3600,Mountain slope,Herbs,有花无果,https://image.cvh.ac.cn/files/l/PE/00860511.jpg,,,,,,,,,, +,Saxifraga yezhiensis,陈世龙,张得钧,高庆波等,ChenSL0317,20080804,青海,4470,高山草甸,藤本,,https://image.cvh.ac.cn/files/l/KUN/1238271.jpg,,,,,,,,,, +,Saxifraga yezhiensis,C. W. Wang,68336,Aug-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00043131.jpg,,,,,,,,,, +玉树虎耳草,Saxifraga yushuensis,,493,19640809,青海省,4350,半阳坡滑塌后碎石地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803910.jpg,,,,,,,,,, +玉树虎耳草,Saxifraga yushuensis,高庆波,Gao2018121,20180730,青海,4740,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026815.jpg,,,,,,,,,, +察隅虎耳草,Saxifraga zayuensis,青藏队,10130A,19820908,西藏自治区,3800,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896051.jpg,,,,,,,,,, +窄瓣察隅虎耳草,Saxifraga zayuensis,Expes. Hengduanshan. Inst. Bot.,3783,19810825,云南省,3800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01896037.jpg,,,,,,,,,, +泽库虎耳草,Saxifraga zekoensis,不祥,2017,19670809,青海省,3000,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/18913.jpg,,,,,,,,,, +治多虎耳草,Saxifraga zhidoensis,罗达尚、左振常,800211,1980-06-,青海省,4800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0146371.jpg,,,,,,,,,, +,Sceptridium daucifolium,Miyoshi Furuse,44890,19661210,,350~645,by forest,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01633387.jpg,,,,,,,,,, +藻叶阴地蕨,Sceptridium daucifolium,,,,贵州省,,溪边、林中、阴湿草坡,,无孢子囊,https://image.cvh.ac.cn/files/l/GZTM/0000784.jpg,,,,,,,,,, +,Sceptridium daucifolium,"魏雪苹,卫然",WXP190,20110101,云南省,1470,林下土生,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871088.jpg,,,,,,,,,, +,Sceptridium robustum,林志秀,兰艳黎,7283,20071007,贵州省,999,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00011610.jpg,,,,,,,,,, +,Sceptridium robustum,吴磊,徐兴翔,1029,20071005,广西壮族自治区,820,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00011608.jpg,,,,,,,,,, +,Sceptridium robustum,刘晓龙,9851189,19860624,安徽省,,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00011611.jpg,,,,,,,,,, +,Sceptridium ternatum,王映明,3537,19851000,湖北省,880,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0099732.jpg,,,,,,,,,, +阴地蕨,Sceptridium ternatum,,4447,19300000,贵州省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00405277.jpg,,,,,,,,,, +阴地蕨,Sceptridium ternatum,谭策铭,97020,19970105,江西省,900,山岭边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00405268.jpg,,,,,,,,,, +西藏鹅掌柴,Schefflera wardii,Chengshuzi,3370,19821208,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2015012.jpg,,,,,,,,,, +西藏鹅掌柴,Schefflera wardii,西藏综考队,1799,19611025,西藏自治区,2060,南坡公路边杂木灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01584172.jpg,,,,,,,,,, +西藏鹅掌柴,Schefflera wardii,白洪兵、海仙,5333241812061310LY,20181206,云南,1489,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009912.jpg,,,,,,,,,, +,Schefflera zhuana,"李渤生,程树志",2307,19821223,西藏自治区,2000,常绿阔叶林中常见藤本,,无花无果,https://image.cvh.ac.cn/files/l/PE/01710302.jpg,,,,,,,,,, +东亚五味子,Schisandra elongata,瓦西里列夫,18,1959/10/9,四川,1000,,藤本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0134157.jpg,,,,,,,,,, +,Schisandra elongata,,12280,,昆明,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0001254.jpg,,,,,,,,,, +,Schisandra elongata,"龙茹,郑宝江",90108,20090503,湖北省,1650,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231111.jpg,,,,,,,,,, +大花五味子,Schisandra grandiflora,北京队,2688,19880707,湖南省,1300~1500,常绿,落叶混交林下沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376369.jpg,,,,,,,,,, +大花五味子,Schisandra grandiflora,PE西藏考察队,7437,20180617,西藏自治区,2808,山坡、林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332519.jpg,,,,,,,,,, +大花五味子,Schisandra grandiflora,游健荣、谢勇、邓梦达、刘文倩,LS14,20200826,湖南,1450,灌草中,,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI073184.jpg,,,,,,,,,, +翼梗五味子,Schisandra henryi,梵净山队,222,19630621,贵州省,1200,山坡路旁灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231143.jpg,,,,,,,,,, +翼梗五味子,Schisandra henryi,刘淼等,A100028,20060622,安徽省,500,生于山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01801173.jpg,,,,,,,,,, +翼梗五味子,Schisandra henryi,简焯坡等,400774,19640818,福建省,700,山路旁杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01859570.jpg,,,,,,,,,, +滇五味子,Schisandra henryi subsp. yunnanensis,"朱鑫鑫, 王君, 林庶",ZXX191815,20191213,云南,1535,亚热带针阔混交林,路边,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483626.jpg,,,,,,,,,, +滇五味子,Schisandra henryi subsp. yunnanensis,刘正宇,2030451,20030404,贵州省,650,溪边杂林中,藤本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0054852.jpg,,,,,,,,,, +滇五味子,Schisandra henryi subsp. yunnanensis,刘正宇,2050472,20050523,重庆,1300,溪边杂木林丛中,藤本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0054849.jpg,,,,,,,,,, +滇藏五味子,Schisandra neglecta,H.L.Tsiang 蒋兴麟,,19880600,四川省,2700,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00581058.jpg,,,,,,,,,, +滇藏五味子,Schisandra neglecta,杨竞生,90-287,1990-07-,西藏省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0075907.jpg,,,,,,,,,, +滇藏五味子,Schisandra neglecta,罗建,汪书丽,任德智,LiuJQ-09XZ-308,20091003,西藏,2723,林缘灌丛,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230461.jpg,,,,,,,,,, +重瓣五味子,Schisandra plena,陈伟烈,15063,19800912,西藏自治区,1100,缠绕在木荨麻上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00144758.jpg,,,,,,,,,, +重瓣五味子,Schisandra plena,叶金科,YNS0264,20080830,云南,1600,公路边,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1230469.jpg,,,,,,,,,, +重瓣五味子,Schisandra plena,Wang,76340,19350000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00320090.jpg,,,,,,,,,, +合蕊五味子,Schisandra propinqua,巴山采集队,3332,20100726,陕西省,616,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066135.jpg,,,,,,,,,, +合蕊五味子,Schisandra propinqua,刘正宇,20110,19950620,贵州省,1096,灌木林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00144936.jpg,,,,,,,,,, +合蕊五味子,Schisandra propinqua,熊豫宁,10-Jan,20100528,江苏省,,药物园栽培,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00571771.jpg,,,,,,,,,, +,Schisandra propinqua subsp. intermedia,"蔡杰,刘恩德,郭永杰",13CS7674,20130531,西藏自治区,2323,林缘树上,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1372092.jpg,,,,,,,,,, +铁箍散,Schisandra propinqua subsp. sinensis,"张桥蓉, 余华, 王义",15CS11511,20151005,四川,874,路边杂木林中,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1455591.jpg,,,,,,,,,, +铁箍散,Schisandra propinqua subsp. sinensis,刘文剑、宋晓飞、张茜茜,19092631,20190926,湖南,450~550,山谷密林,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI073187.jpg,,,,,,,,,, +铁箍散,Schisandra propinqua subsp. sinensis,刘正宇等,2010173,20010514,重庆,1600,山地灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0054725.jpg,,,,,,,,,, +毛脉五味子,Schisandra pubinervis,毛品一,1934,19521205,云南省,2600,密林中,润湿,普遍,灌木攀援,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00385675.jpg,,,,,,,,,, +,Schisandra pubinervis,唐伟岚、杜阳平、郭枫方,DY0852,20190609,四川,1315,,藤本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0269677.jpg,,,,,,,,,, +红花五味子,Schisandra rubriflora,植物地理调查队,639,19780725,重庆市,2100,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01374813.jpg,,,,,,,,,, +红花五味子,Schisandra rubriflora,中苏调查组,2362,1955-06-,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0076151.jpg,,,,,,,,,, +红花五味子,Schisandra rubriflora,青藏队植被组,2301,19740806,西藏自治区,3040,西南坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02060193.jpg,,,,,,,,,, +球蕊五味子,Schisandra sphaerandra,"D.E.Boufford B.D.Liu.T.S.Ying.C,Z.&.X.L.Zhu.",26380,19940601,河南省,,twinging on shrubs near stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892507.jpg,,,,,,,,,, +球蕊五味子,Schisandra sphaerandra,孙成仁,56,1982-05-,云南省,3300,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0076267.jpg,,,,,,,,,, +球蕊五味子,Schisandra sphaerandra,张挺,郭永杰,刘成等,10CS2081,20100725,云南,3074,"with bamboos, Clematis",,果标本,https://image.cvh.ac.cn/files/l/KUN/1230486.jpg,,,,,,,,,, +微毛北五味子,Schisandra tomentella,中美联合鄂西植物考察,382,19800827,湖北省,2000,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/43824.jpg,,,,,,,,,, +微毛北五味子,Schisandra tomentella,H.Kanai H.Ohashi,,19720730,Honshu,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/92883.jpg,,,,,,,,,, +微毛北五味子,Schisandra tomentella,徐广远等,1091,19610607,西藏,4000,树林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/44547.jpg,,,,,,,,,, +,Schizopepon bomiensis,,,,,,,,,,,,,,,,,,, +,Schizopepon macranthus,,,,,,,,,,,,,,,,,,, +,Schizopepon xizangensis,,,,,,,,,,,,,,,,,,, +,Schizophragma crassum,,,,,,,,,,,,,,,,,,, +,Schizophragma megalocarpum,,,,,,,,,,,,,,,,,,, +,Schoenoplectiella juncoides,,,,,,,,,,,,,,,,,,, +,Schoenoplectiella mucronata,,,,,,,,,,,,,,,,,,, +,Schoenoplectus tabernaemontani,梁向日,60917,19310508,广东省,,塘水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01540993.jpg,,,,,,,,,, +,Schoenoplectus tabernaemontani,安顺队,1576,19590924,贵州省,1300,水中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01540985.jpg,,,,,,,,,, +,Schoenoplectus tabernaemontani,赵常明等,EX1716,20080811,湖北省,1300,池塘边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01433459.jpg,,,,,,,,,, +三棱水葱,Schoenoplectus triqueter,王铭;赵婧;陈聪,CWP1WM036,20201002,吉林,511,泥炭沼泽湿地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1558409.jpg,,,,,,,,,, +,Schoenoplectus triqueter,,5378,19280000,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01541171.jpg,,,,,,,,,, +,Schoenoplectus triqueter,王作宾,7208,19530808,宁夏回族自治区,1900,生浅水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01541097.jpg,,,,,,,,,, +匙唇兰,Schoenorchis gemmata,侯宽昭,70358,19330315,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00146645.jpg,,,,,,,,,, +匙唇兰,Schoenorchis gemmata,G.Forrest,26607,19240000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0621401.jpg,,,,,,,,,, +匙唇兰,Schoenorchis gemmata,C.W.Wang,77398,19350000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0621398.jpg,,,,,,,,,, +,Schoenorchis mishmensis,,,,,,,,,,,,,,,,,,, +大南苏,Scindapsus officinalis,Kai Larsen,33780,1005,,0~50,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0637326.jpg,,,,,,,,,, +庐山藨草,Scirpus lushanensis,许玥,祝文志,刘志祥,曹远俊,ShenZH7888,20121114,湖北,600,山坡沟旁,草本,,https://image.cvh.ac.cn/files/l/KUN/1399232.jpg,,,,,,,,,, +庐山?草,Scirpus lushanensis,方文培等,280,19660824,江苏省,350,山坡沼泽地杂草中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01541982.jpg,,,,,,,,,, +庐山藨草,Scirpus lushanensis,刘慎谔,21454,19461010,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0649321.jpg,,,,,,,,,, +,Scirpus paniculato-corymbosus,,,,,,,,,,,,,,,,,,, +百球藨草,Scirpus rosthornii,方建新,TangXS0689,20131115,安徽,134,水库湿地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1435220.jpg,,,,,,,,,, +百球藨草,Scirpus rosthornii,"聂敏祥,赖书绅",5701,1958/10/21,江西,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0263315.jpg,,,,,,,,,, +百球藨草,Scirpus rosthornii,刘正宇、张军等,S-0715,20160509,重庆,646,路旁沟边,草本,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051202.jpg,,,,,,,,,, +百穗藨草,Scirpus ternatanus,"唐鑫生, 宋曰钦, 方建新",TangXS0893,20150904,安徽,576,荒芜农田,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1456852.jpg,,,,,,,,,, +百穗藨草,Scirpus ternatanus,,22442,,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0694384.jpg,,,,,,,,,, +百穗藨草,Scirpus ternatanus,邢福武等,6427,19950426,海南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0694453.jpg,,,,,,,,,, +球穗藨草,Scirpus wichurae,赵金超,肖美芳,CYNGH285,20130903,云南,1289,水沟旁或机耕路边,草本,,https://image.cvh.ac.cn/files/l/KUN/1399283.jpg,,,,,,,,,, +卫三棱草,Scirpus wichurae,延边二组,295,19590824,吉林,,水沟边,,有花有果,https://image.cvh.ac.cn/files/l/JLSLKY/JLSLKY01603.jpg,,,,,,,,,, +,Scirpus wichurae,Kenji Inoue,100233,19900820,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01969112.jpg,,,,,,,,,, +,Scleria dulungensis,,,,,,,,,,,,,,,,,,, +毛果珍珠茅,Scleria levis,刘莹李静,73,2002-10-,广东; Guangdong,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00097402.jpg,,,,,,,,,, +毛果珍珠茅,Scleria levis,麦鹤云,20275,19500524,广东,,山口,草本,有花无果,https://image.cvh.ac.cn/files/l/SN/SN002781.jpg,,,,,,,,,, +,Scleria levis,北京队,896818,19890909,广西壮族自治区,440,山坡草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017251.jpg,,,,,,,,,, +,Scleria parvula,T.P.Wang,8775,19380816,四川省,2100,weedy plain,,有花无果,https://image.cvh.ac.cn/files/l/PE/00465196.jpg,,,,,,,,,, +,Scleria parvula,植物所下放干部,688,19600911,江西省,,近水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00465466.jpg,,,,,,,,,, +,Scleria parvula,邓良,7562,19580915,广东省,900,路旁,水旁,山谷,普遍,,无花有果,https://image.cvh.ac.cn/files/l/PE/00465463.jpg,,,,,,,,,, +,Scleria terrestris,Shiu Ying Hu,7974,19690927,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00465201.jpg,,,,,,,,,, +,Scleria terrestris,王印政等,4687,19981024,云南省,1550,山地山坡疏林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01802223.jpg,,,,,,,,,, +,Scleria terrestris,管中天,6161,19590903,四川省,420,常绿阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00465424.jpg,,,,,,,,,, +帕米尔鸦葱,Scorzonera pamirica,生物研究西藏考察队,3102,19740612,新疆维吾尔自治区,3370,山前 倾斜 平原,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00030660.jpg,,,,,,,,,, +细穗玄参,Scrofella chinensis,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01456469.jpg,,,,,,,,,, +细穗玄参,Scrofella chinensis,Luo Yi-bo,654,20010816,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052734.jpg,,,,,,,,,, +细穗玄参,Scrofella chinensis,魏振铎,583,1964/ /,青海,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0296658.jpg,,,,,,,,,, +等唇玄参,Scrophularia aequilabris,李馨,77818,19580621,四川省,3900,山腰林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01456477.jpg,,,,,,,,,, +等唇玄参,Scrophularia aequilabris,杨光辉,59611,19580909,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092900.jpg,,,,,,,,,, +岩隙玄参,Scrophularia chasmophila,何澄明,20,19751100,湖南省,500,山坡林边,,有花无果,https://image.cvh.ac.cn/files/l/HUFD/0002198.jpg,,,,,,,,,, +岩隙玄参,Scrophularia chasmophila,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075781.jpg,,,,,,,,,, +岩隙玄参,Scrophularia chasmophila,Harry Smith,3638,19220722,四川省,4100,ad radices ruprium,,无花有果,https://image.cvh.ac.cn/files/l/PE/01481277.jpg,,,,,,,,,, +大花玄参,Scrophularia delavayi,鞠文彬,张良,陈德奎,AZH01332,20160617,四川,3581,山顶草地,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0235607.jpg,,,,,,,,,, +大花玄参,Scrophularia delavayi,王启无,63266,1935/05/,云南,3300,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0038571.jpg,,,,,,,,,, +大花玄参,Scrophularia delavayi,俞德俊,5717,,云南省 ,0~3100,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0575673.jpg,,,,,,,,,, +重齿玄参,Scrophularia diplodonta,青藏队,12809,19830810,四川省,3700,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/700862.jpg,,,,,,,,,, +重齿玄参,Scrophularia diplodonta,王启无,,,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00237548.jpg,,,,,,,,,, +,Scrophularia diplodonta,J. M. Delavay,2334,1886-5-25,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00056874.jpg,,,,,,,,,, +高山玄参,Scrophularia hypsophila,T.T.Yu,20053,19370903,云南省,3000,mt.slop open & sandy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01456637.jpg,,,,,,,,,, +高山玄参,Scrophularia hypsophila,"张挺, 郭永杰",16CS13670,20160831,四川,4739,高山草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1454221.jpg,,,,,,,,,, +高山玄参,Scrophularia hypsophila,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191536,20190929,云南,4129,亚热带,高山流石滩,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1485818.jpg,,,,,,,,,, +甘肃玄参,Scrophularia kansuensis,P.Licent S.J.,5244,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01456710.jpg,,,,,,,,,, +甘肃玄参,Scrophularia kansuensis,T.P.Wang,7378,1937/7/22,甘肃,3500,,erect herb.,有花无果,https://image.cvh.ac.cn/files/l/WUK/0033063.jpg,,,,,,,,,, +,Scrophularia kansuensis,刘坤,LiuJQ-GN-2011-532,20110729,甘肃省,2963,田缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1384502.jpg,,,,,,,,,, +单齿玄参,Scrophularia mandarinorum,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191314,20190917,云南,3141,亚热带针叶林,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483668.jpg,,,,,,,,,, +单齿玄参,Scrophularia mandarinorum,王作宾,19688,19660813,陕西省,2060,阴湿不见太阳处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/476893.jpg,,,,,,,,,, +单齿玄参,Scrophularia mandarinorum,K. L. Chu,7434,19400721,四川,,On crevice of rock street,Herb,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00237706.jpg,,,,,,,,,, +,Scrophularia przewalskii,Ho Ting-nung et al.,957,19930809,青海省,4150,"Flat bottomed valley with moist alpine meadows on bottom,slopes with rocky outcrops and turf.Base of rocky slope",,有花无果,https://image.cvh.ac.cn/files/l/PE/01481319.jpg,,,,,,,,,, +小花玄参,Scrophularia souliei,Ho Ting-nung et al.,509,19930729,青海省,3820,"Alpine meadow with Ligularia vulgaris,very few woody plants,bare soil frequent",,有花无果,https://image.cvh.ac.cn/files/l/PE/01481320.jpg,,,,,,,,,, +小花玄参,Scrophularia souliei,K.T.Fu,1317,19370722,甘肃省,3700,on dry place of hill slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01457355.jpg,,,,,,,,,, +小花玄参,Scrophularia souliei,方文哲等,240,19600821,江苏省,500,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00247536.jpg,,,,,,,,,, +穗花玄参,Scrophularia spicata,张挺,蔡杰,郭永杰,刘成,张桥蓉,11CS3108,20110815,云南,2676,路边溪谷杂木林中,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1384519.jpg,,,,,,,,,, +穗花玄参,Scrophularia spicata,T.T.Yu,12552,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01457365.jpg,,,,,,,,,, +穗花玄参,Scrophularia spicata,武素功,2689,0,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/476934.jpg,,,,,,,,,, +云南玄参,Scrophularia yunnanensis,余奇,代文台,CIBYQ090B012,20190817,四川,2511,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1504022.jpg,,,,,,,,,, +云南玄参,Scrophularia yunnanensis,,2461,19240908,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01457383.jpg,,,,,,,,,, +云南玄参,Scrophularia yunnanensis,"朱鑫鑫, 王君, 郑海磊, 赵新杰",ZXX18228,20180808,云南,2859,亚热带,路边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1449611.jpg,,,,,,,,,, +,Scutellaria chungtienensis,,,,,,,,,,,,,,,,,,, +,Scutellaria forrestii,,,,,,,,,,,,,,,,,,, +,Scutellaria hypericifolia,,,,,,,,,,,,,,,,,,, +,Scutellaria kingiana,,,,,,,,,,,,,,,,,,, +,Scutellaria likiangensis,,,,,,,,,,,,,,,,,,, +,Scutellaria nigricans,,,,,,,,,,,,,,,,,,, +,Scutellaria spectabilis,,,,,,,,,,,,,,,,,,, +,Sedum blepharophyllum,,,,,,,,,,,,,,,,,,, +,Sedum celatum,,,,,,,,,,,,,,,,,,, +,Sedum celiae,,,,,,,,,,,,,,,,,,, +,Sedum costantinii,,,,,,,,,,,,,,,,,,, +,Sedum daigremontianum,,,,,,,,,,,,,,,,,,, +,Sedum didymocalyx,,,,,,,,,,,,,,,,,,, +,Sedum dimorphophyllum,,,,,,,,,,,,,,,,,,, +,Sedum erici-magnusii,,,,,,,,,,,,,,,,,,, +,Sedum feddei,,,,,,,,,,,,,,,,,,, +,Sedum fedtschenkoi,,,,,,,,,,,,,,,,,,, +,Sedum forrestii,,,,,,,,,,,,,,,,,,, +,Sedum franchetii,,,,,,,,,,,,,,,,,,, +,Sedum fui,,,,,,,,,,,,,,,,,,, +,Sedum giajae,,,,,,,,,,,,,,,,,,, +,Sedum glaebosum,,,,,,,,,,,,,,,,,,, +,Sedum heckelii,,,,,,,,,,,,,,,,,,, +,Sedum hengduanense,,,,,,,,,,,,,,,,,,, +,Sedum leucocarpum,,,,,,,,,,,,,,,,,,, +,Sedum longifuniculatum,,,,,,,,,,,,,,,,,,, +,Sedum longyanense,,,,,,,,,,,,,,,,,,, +,Sedum lutzii,,,,,,,,,,,,,,,,,,, +,Sedum magniflorum,,,,,,,,,,,,,,,,,,, +,Sedum morotii,,,,,,,,,,,,,,,,,,, +,Sedum muyaicum,,,,,,,,,,,,,,,,,,, +,Sedum nothodugueyi,,,,,,,,,,,,,,,,,,, +,Sedum obtrullatum,,,,,,,,,,,,,,,,,,, +,Sedum oligocarpum,,,,,,,,,,,,,,,,,,, +,Sedum pagetodes,,,,,,,,,,,,,,,,,,, +,Sedum paracelatum,,,,,,,,,,,,,,,,,,, +,Sedum perrotii,,,,,,,,,,,,,,,,,,, +,Sedum platysepalum,,,,,,,,,,,,,,,,,,, +,Sedum prasinopetalum,,,,,,,,,,,,,,,,,,, +,Sedum pratoalpinum,,,,,,,,,,,,,,,,,,, +,Sedum purdomii,,,,,,,,,,,,,,,,,,, +,Sedum ramentaceum,,,,,,,,,,,,,,,,,,, +,Sedum raymondii,,,,,,,,,,,,,,,,,,, +,Sedum rosei,,,,,,,,,,,,,,,,,,, +,Sedum sagittipetalum,,,,,,,,,,,,,,,,,,, +,Sedum sinoglaciale,,,,,,,,,,,,,,,,,,, +,Sedum stimulosum,,,,,,,,,,,,,,,,,,, +,Sedum trichospermum,,,,,,,,,,,,,,,,,,, +,Sedum tsinghaicum,,,,,,,,,,,,,,,,,,, +,Sedum tsonanum,,,,,,,,,,,,,,,,,,, +,Sedum ulricae,,,,,,,,,,,,,,,,,,, +,Sedum wangii,,,,,,,,,,,,,,,,,,, +,Sedum wenchuanense,,,,,,,,,,,,,,,,,,, +拟细叶卷柏,Selaginella albocincta,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",40587,20090716,西藏自治区,2320~2330,dry rocky slope base of rocks under shrubs and in open,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02109794.jpg,,,,,,,,,, +拟细叶卷柏,Selaginella albocincta,D.E.Boufford et al.,31045,20040721,四川省,2315,banks of river aroung rocks,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01644087.jpg,,,,,,,,,, +,Selaginella albocincta,鞠文彬,郑臣臣,THP-KD-6738,20170818,四川,3629,草地灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241463.jpg,,,,,,,,,, +,Selaginella algida,张中帅,520,20150810,西藏自治区,3700,干旱石质山坡,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02055705.jpg,,,,,,,,,, +,Selaginella amblyphylla,A.H.G.Alston,7723,19310700,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01964164.jpg,,,,,,,,,, +钝叶卷柏,Selaginella amblyphylla,严岳鸿、金摄郎、王莹、朱晓凤,WYD434,20140813,广东省,,,,无孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0068705.jpg,,,,,,,,,, +,Selaginella amblyphylla,石棉队,78-0087,19780510,四川省,1000,石头上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01593737.jpg,,,,,,,,,, +,Selaginella bisulcata,"张宪春,刘保东",7769,20161105,云南省,1500,林缘水沟边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02233209.jpg,,,,,,,,,, +,Selaginella bisulcata,"Papp,B.Buczko,K.",s.n.,19971024,,1800,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01622153.jpg,,,,,,,,,, +双沟卷柏,Selaginella bisulcata,严岳鸿、金摄郎、王莹、朱晓凤,WYD374,20140813,广东省,,,,无孢子囊群,https://image.cvh.ac.cn/files/l/CSH/CSH0082421.jpg,,,,,,,,,, +,Selaginella chrysocaulos,"孙玖琼,武玉东",38,20140802,湖北省,,林下、沟谷旁,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02023492.jpg,,,,,,,,,, +,Selaginella chrysocaulos,"孙玖琼,武玉东",79,20140808,重庆市,1300,沟谷边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02023692.jpg,,,,,,,,,, +,Selaginella chrysocaulos,Toshiyuki Nakaike,1972,19860929,,2000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01709395.jpg,,,,,,,,,, +蔓出卷柏,Selaginella davidii,"袁昌齐,兰永珍,金岳杏",75034,19750720,江苏省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00141895.jpg,,,,,,,,,, +蔓生卷柏,Selaginella davidii,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4449,20160913,西藏,675,溪沟边岩石上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136658.jpg,,,,,,,,,, +蔓出卷柏,Selaginella davidii,云台山采集队,658,20090611,河南省,,山顶草地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02030672.jpg,,,,,,,,,, +溥叶卷柏,Selaginella delicatula,孙久琼,S019,20110103,重庆市,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01870019.jpg,,,,,,,,,, +溥叶卷柏,Selaginella delicatula,,40,,安徽省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00175164.jpg,,,,,,,,,, +溥叶卷柏,Selaginella delicatula,H.H.Hu,1650,19270000,浙江省,,,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/00175162.jpg,,,,,,,,,, +,Selaginella effusa,"固?乐,黄玉滢",2812,20091027,湖南省,400~600,山地 林下,路边,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01866082.jpg,,,,,,,,,, +疏松卷柏,Selaginella effusa,赵万义、刘忠成、陈彦朝,LXP-13-25967,20180522,湖南,,山谷、壤土、疏林、石上,陆生、草本、平卧,无孢子囊,https://image.cvh.ac.cn/files/l/SYS/SYS00201236.jpg,,,,,,,,,, +疏松卷柏,Selaginella effusa,梁向日,63903,,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00030578.jpg,,,,,,,,,, +,Selaginella helferi,中植联广西队,1016,20080811,广西壮族自治区,250,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01962981.jpg,,,,,,,,,, +攀缘卷柏,Selaginella helferi,曹子余,889,19581007,贵州省,800,,,无花无果,https://image.cvh.ac.cn/files/l/HGAS/057034.jpg,,,,,,,,,, +,Selaginella helferi,L.Q.Li et al.,375,20041026,,200~400,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01849459.jpg,,,,,,,,,, +,Selaginella helvetica,,1099,19020702,吉林省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00175900.jpg,,,,,,,,,, +小卷柏,Selaginella helvetica,张龙,508,20180523,贵州,823,,,无花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0010241.jpg,,,,,,,,,, +小卷柏,Selaginella helvetica,Courtois,28708,19210506,江西省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00141573.jpg,,,,,,,,,, +异穗卷柏,Selaginella heterostachys,张宪春,3734,20051030,安徽省,1100~1600,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01455363.jpg,,,,,,,,,, +异穗卷柏,Selaginella heterostachys,平乐县普查队,450330180516015LY,20180516,广西,253,阔叶林,林下,黄棕壤,一般野生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00413767.jpg,,,,,,,,,, +异穗卷柏,Selaginella heterostachys,M.T.Kao,7307,19680615,台湾省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00405764.jpg,,,,,,,,,, +,Selaginella indica,FLPH Tibet Expedition,12-0836,,西藏自治区,2918,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01968078.jpg,,,,,,,,,, +,Selaginella indica,F.Ludlow et al.,6677,19381112,,3000,"Plastered on to rock faces,growing in large clumps",,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01593763.jpg,,,,,,,,,, +,Selaginella indica,"张宪春,向巧萍",6948,20131003,四川省,2006,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02004209.jpg,,,,,,,,,, +兖州卷柏,Selaginella involvens,云南大学,664,19370802,云南省 ,0,,草本,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/0801406.jpg,,,,,,,,,, +兖州卷柏,Selaginella involvens,周太炎,,19590913,山东省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00141608.jpg,,,,,,,,,, +兖州卷柏,Selaginella involvens,金摄郎,JSL4610,20161017,安徽,700,沟谷边岩石上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0133087.jpg,,,,,,,,,, +,Selaginella jiulongensis,,,,,,,,,,,,,,,,,,, +细叶卷柏,Selaginella labordei,徐增莱,熊豫宁,顾子霞等,389,20180521,江西,656,公路边,蕨类,有孢子囊,https://image.cvh.ac.cn/files/l/NAS/NAS00614468.jpg,,,,,,,,,, +细叶卷柏,Selaginella labordei,D.E.Boufford et al.,37639,20070515,甘肃,1300~1340,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01814597.jpg,,,,,,,,,, +细叶卷柏,Selaginella labordei,张代贵,YH120817010,20120817,湖北神农架,,平地,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU45010.jpg,,,,,,,,,, +,Selaginella megaphylla,,18688,,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01622246.jpg,,,,,,,,,, +,Selaginella megaphylla,李渤生等,3816,19830327,西藏自治区,800,常绿阔叶林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01593519.jpg,,,,,,,,,, +,Selaginella megaphylla,F.Ludlow et al.,6775,19381123,四川省,2000,on banks in dense mixed forest,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00405890.jpg,,,,,,,,,, +江南卷柏,Selaginella moellendorffii,赵万义,张记军,刘忠成,LXP-13-19412,20160624,江西省吉安市,386,山谷、壤土、密林、溪边,陆生、草本、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00183570.jpg,,,,,,,,,, +江南卷柏,Selaginella moellendorffii,三峡考察队,2585,20080726,重庆市,553~595,山坡,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02003920.jpg,,,,,,,,,, +江南卷柏,Selaginella moellendorffii,"黄向旭,陈有卿,李素英",10696,20110914,江西省,,山地、路旁、山谷、密林,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01962781.jpg,,,,,,,,,, +单子卷柏,Selaginella monospora,成晓,魏奇,公艳芬,FB562,20130827,云南,1700~2100,,,,https://image.cvh.ac.cn/files/l/KUN/1405669.jpg,,,,,,,,,, +单子卷柏,Selaginella monospora,王锋,261,19920325,贵州省,640,,,无花无果,https://image.cvh.ac.cn/files/l/HGAS/056338.jpg,,,,,,,,,, +单子卷柏,Selaginella monospora,"刘成, 亚吉东",18CS17149,20181201,西藏,1399,常绿阔叶林下,草本,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/1487279.jpg,,,,,,,,,, +伏地卷柏,Selaginella nipponica,贺贤育,24880,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00142277.jpg,,,,,,,,,, +伏地卷柏,Selaginella nipponica,周仪,,19560700,山东省,,,,,https://image.cvh.ac.cn/files/l/BNU/0023609.jpg,,,,,,,,,, +伏地卷柏,Selaginella nipponica,"朱鑫鑫, 王君, 石琳琳, 徐坤, 王雨鑫",ZhuXX293,20171123,湖北,194,亚热带针阔混交林,路边,草本,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/1454513.jpg,,,,,,,,,, +,Selaginella nummularifolia,South Tibet Exp.Team (Jin Xiaohua etc.),STET0075,20100713,西藏自治区,,evergreen broad leaved forest,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02038846.jpg,,,,,,,,,, +,Selaginella nummularifolia,,Ph0021,20040300,,990,,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01765900.jpg,,,,,,,,,, +钱叶卷柏,Selaginella nummularifolia,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201784,20200815,西藏,3949,荒坡上,多年生草本,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/1509316.jpg,,,,,,,,,, +,Selaginella pallidissima,青藏队,13303,19830823,四川省,2500,山坡云南松林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01384063.jpg,,,,,,,,,, +,Selaginella pallidissima,张宪春,6621,20101115,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01871077.jpg,,,,,,,,,, +,Selaginella pallidissima,"陈又生,张树仁,于胜祥等",459,20111112,西藏自治区,3500,冷杉林下,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01938254.jpg,,,,,,,,,, +黑顶卷柏,Selaginella picta,李启瑞,52263120190523483LY,20190523,贵州,504,针阔叶混交林、中生、阳性、中温、钙质土、野生植物,一年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0099839.jpg,,,,,,,,,, +黑顶卷柏,Selaginella picta,麻栗坡队,5326240274,20150715,云南,530,亚热带常绿阔叶林,喜阳,无花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027213.jpg,,,,,,,,,, +,Selaginella picta,"李中阳,卫然",WR0295,20111225,云南省,470,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02004224.jpg,,,,,,,,,, +垫状卷柏,Selaginella pulvinata,"周以良,傅沛云",2163,,吉林省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00245148.jpg,,,,,,,,,, +垫状卷柏,Selaginella pulvinata,T.N.Ho et al.,2417,19960827,青海省,3600,Growing on shaded rock face,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01634020.jpg,,,,,,,,,, +垫状卷柏,Selaginella pulvinata,孙久琼,6213,20100908,河北省,700~800,岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01867999.jpg,,,,,,,,,, +垫状卷柏,Selaginella remotifolia,"陆玲娣,赵然",4312,20020815,台湾省,2000~2100,Forest margin.Herb.,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01963710.jpg,,,,,,,,,, +疏叶卷柏,Selaginella remotifolia,C.E.Devol,2887,19420710,江苏省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00087168.jpg,,,,,,,,,, +疏叶卷柏,Selaginella remotifolia,谢宜飞 李卫亮,X0108,20090712,江西,891,路边土生,,无孢子囊,https://image.cvh.ac.cn/files/l/GNNU/GNNU0009809.jpg,,,,,,,,,, +甘孜卷柏,Selaginella sanguinolenta,T.P.Wang,W.3922,19350930,山西省,1600,on exposed rock,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00245404.jpg,,,,,,,,,, +甘孜卷柏,Selaginella sanguinolenta,Hopkingson,1731,1931/10/7,山东省,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0019965.jpg,,,,,,,,,, +红枝卷柏,Selaginella sanguinolenta,刘正宇、张军等,S-3894,20171104,重庆,725,崖壁,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0050104.jpg,,,,,,,,,, +,Selaginella tibetica,青藏队,73-1402,19730907,西藏自治区,2400,山坡落叶阔叶林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00452159.jpg,,,,,,,,,, +西藏卷柏,Selaginella tibetica,Qinghai-Xizang. Exped. (青藏队), 73-1402,19730907,西藏,2400,山坡落叶阔叶林下,草本,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/1217021.jpg,,,,,,,,,, +,Selaginella vaginata,X.C.Zhang & Q.R.Liu,5229,20080924,北京市,1000,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01867995.jpg,,,,,,,,,, +,Selaginella vaginata,三峡考察队,1990,20080717,重庆市,1185~1312,阴湿沟谷林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02003823.jpg,,,,,,,,,, +,Selaginella vaginata,甘启良,3190,20070915,湖北省,1200,沟边石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01953338.jpg,,,,,,,,,, +,Selaginella vardei,张宪春,3978,20060624,西藏,3100,河谷土坎上林地,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01822867.jpg,,,,,,,,,, +,Selaginella vardei,张志英,8123,19590814,甘肃省,950,河边附近,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00452233.jpg,,,,,,,,,, +细瘦卷柏,Selaginella vardei,王明川,522427140624281LY,20140624,贵州省,2300,野生植物、中温、旱生、阳性、酸性土、草丛,苔藓及地衣,无孢子囊,https://image.cvh.ac.cn/files/l/GZTM/GZTM0045518.jpg,,,,,,,,,, +,Selaginella wallichii,征兆芬,121841,19581011,广东省,300,山地山谷湿土分布普遍,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01866130.jpg,,,,,,,,,, +瓦氏卷柏,Selaginella wallichii,"刘恩德, 邹娇, 董洪进, 肖波, 周天, 赵晨光, 陈志坚",LED9353,20191216,云南,1111,竹林下,草本,无孢子囊,https://image.cvh.ac.cn/files/l/KUN/1495695.jpg,,,,,,,,,, +,Selaginella wallichii,H.van der Werff et al.,17274,20020711,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02003099.jpg,,,,,,,,,, +,Selliguea albidoglauca,PE西藏队,PE6840,20170917,西藏自治区,3971,山坡,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01891668.jpg,,,,,,,,,, +,Selliguea albidoglauca,高信芬,焦瑞芳,夏晨曦,GAOXF-17493,20200728,西藏,3743.02,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0264839.jpg,,,,,,,,,, +,Selliguea capitellata,,,,,,,,,,,,,,,,,,, +白茎假瘤蕨,Selliguea chrysotricha,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07427,20160915,西藏,2272,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136004.jpg,,,,,,,,,, +白茎假瘤蕨,Selliguea chrysotricha,魏奇,WQ414,20141003,云南,2987,石附生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1435047.jpg,,,,,,,,,, +交连假瘤蕨,Selliguea conjuncta,金摄郎,JSL5298,20170726,安徽,1620,岩壁上,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0147380.jpg,,,,,,,,,, +交连假瘤蕨,Selliguea conjuncta,曾宪锋,ZXF51066,20190725,福建,790,山谷石上,多年生草本,有孢子囊群,https://image.cvh.ac.cn/files/l/CZH/CZH0046214.jpg,,,,,,,,,, +紫柄假瘤蕨,Selliguea crenatopinnata,"朱鑫鑫, 林庶, 胡梦杰",ZXX191144,20190908,云南,2384,亚热带针阔混交林,山坡灌丛中,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1485009.jpg,,,,,,,,,, +,Selliguea crenatopinnata,余奇、郑臣臣,THP-KD-0644,20170603,四川,1429,,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250866.jpg,,,,,,,,,, +,Selliguea crenatopinnata,"Ducloux, F.",91,1908,,,,,,https://image.cvh.ac.cn/files/l/P/P00626889.jpg,,,,,,,,,, +,Selliguea dareiformis,卫然,WR0449,20161030,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02088406.jpg,,,,,,,,,, +,Selliguea ebenipes,余奇、熊先华、李琳霖,THP-KD-7074,20170817,四川,2427~3559,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252800.jpg,,,,,,,,,, +,Selliguea ebenipes,余奇、熊先华、李琳霖,THP-KD-7074,20170817,四川省,2427~3559,新兴村矿场,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252799.jpg,,,,,,,,,, +,Selliguea ebenipes,赵存峰,20,20150817,西藏自治区,3000~3200,林下山坡石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02084791.jpg,,,,,,,,,, +,Selliguea ebenipes var. oakesii,,,,,,,,,,,,,,,,,,, +,Selliguea elegans,,,,,,,,,,,,,,,,,,, +,Selliguea erythrocarpa,,,,,,,,,,,,,,,,,,, +,Selliguea glaucopsis,"张宪春,蒋日红,黄尔峰",8906,20170820,四川省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234213.jpg,,,,,,,,,, +大果假瘤蕨,Selliguea griffithiana,金摄郎、张九兵,JSL-WLSQ 506,20131109,湖南省,1043,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0031411.jpg,,,,,,,,,, +大果假瘤蕨,Selliguea griffithiana,商辉、罗俊杰,SG1886,20170617,云南,1632,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0142183.jpg,,,,,,,,,, +大果假瘤蕨,Selliguea griffithiana,张代贵,张代富,816040,20190816,四川,1318,山坡,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1515950.jpg,,,,,,,,,, +金鸡脚假瘤蕨,Selliguea hastata,瞿平忠,520222150916004LY,20150916,贵州省,2162.5,野生植物、中温、旱生、阳性、酸性土、草丛,多年生草本植物,有孢子囊,https://image.cvh.ac.cn/files/l/GZTM/GZTM0044391.jpg,,,,,,,,,, +金鸡脚假瘤蕨,Selliguea hastata,葛斌杰等,GBJ04551,20150428,湖北省,1125,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0092588.jpg,,,,,,,,,, +金鸡脚假瘤蕨,Selliguea hastata,张代贵,zdg4394+1,20110525,湖北神农架,,林缘,草本,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU28769.jpg,,,,,,,,,, +,Selliguea himalayensis,,,,,,,,,,,,,,,,,,, +,Selliguea intermedia,,,,,,,,,,,,,,,,,,, +,Selliguea lehmannii,,,,,,,,,,,,,,,,,,, +,Selliguea lui,,,,,,,,,,,,,,,,,,, +,Selliguea mairei,,,,,,,,,,,,,,,,,,, +芒刺假瘤蕨,Selliguea malacodon,严岳鸿、韦宏金、周喜乐、金冬梅,JSL4370,20160910,西藏,3945,沟边疏林下,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0136594.jpg,,,,,,,,,, +,Selliguea malacodon,"Wilson, E.H.",5343,4-Jul,,,,,,https://image.cvh.ac.cn/files/l/P/P00626898.jpg,,,,,,,,,, +,Selliguea nigrovenia,"Wilson, E.H.",5341a,3-Jul,,,,,,https://image.cvh.ac.cn/files/l/P/P01348866.jpg,,,,,,,,,, +圆顶假瘤蕨,Selliguea obtusa,周喜乐、舒江平、郑希龙、陈沂章、肖艳,ZXL06117,20160324,海南,1697,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0118891.jpg,,,,,,,,,, +尖裂假瘤蕨,Selliguea oxyloba,郭永杰,唐培洵,金永明,张娅婕,13CS7748,20130823,云南,1345,公路边水冬瓜树上,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1406400.jpg,,,,,,,,,, +尖裂假瘤蕨,Selliguea oxyloba,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07237,20160911,西藏,2778,树干上,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137156.jpg,,,,,,,,,, +,Selliguea oxyloba,"Wilson, E.H.",5331,3-Jul,,,,,,https://image.cvh.ac.cn/files/l/P/P00626899.jpg,,,,,,,,,, +展羽假瘤蕨,Selliguea quasidivaricata,商辉、罗俊杰,SG1759,20170614,云南,2599,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0142077.jpg,,,,,,,,,, +喙叶假瘤蕨,Selliguea rhynchophylla,罗俊杰、莫日根高娃,CFH09001573,20180423,广东,681,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0156893.jpg,,,,,,,,,, +喙叶假瘤蕨,Selliguea rhynchophylla,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07255,20160911,西藏,2335,,草本,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0137262.jpg,,,,,,,,,, +,Selliguea rhynchophylla,X.C.Zhang,3216,20030908,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234183.jpg,,,,,,,,,, +,Selliguea senanensis,"张宪春,蒋日红,黄尔峰",9007,20170823,四川省,2800,石壁上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234524.jpg,,,,,,,,,, +,Selliguea senanensis,高云东,邓亨宁,黎怀成,THP-KD-2167,20170805,四川,3600~4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252802.jpg,,,,,,,,,, +陕西假瘤蕨,Selliguea senanensis,商辉、罗俊杰,SG1774,20170614,云南,2638,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0142267.jpg,,,,,,,,,, +,Selliguea stewartii,PE西藏队,PE6676,20170914,西藏自治区,3934,路边山坡,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01891653.jpg,,,,,,,,,, +尾尖假瘤蕨,Selliguea stewartii,商辉、罗俊杰,SG1823,20170616,云南,2395,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0142002.jpg,,,,,,,,,, +尾尖假瘤蕨,Selliguea stewartii,高信芬、朱章明、赵雪利、张良,12363,20100714,西藏,3650,山坡冷杉林下,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0229094.jpg,,,,,,,,,, +,Selliguea stracheyi,"张宪春,蒋日红,黄尔峰",9020,20170823,四川省,3500,岩石上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02234525.jpg,,,,,,,,,, +,Selliguea stracheyi,"张宪春,王利松",7605,,云南省,,岩坡石灰岩上,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02049679.jpg,,,,,,,,,, +,Selliguea stracheyi,"Delavay, J.M.",1661,1885-9-18,,,,,,https://image.cvh.ac.cn/files/l/P/P00626902.jpg,,,,,,,,,, +,Selliguea tatsienensis,,,,,,,,,,,,,,,,,,, +,Selliguea tenuicauda,,,,,,,,,,,,,,,,,,, +,Selliguea tibetana,PE西藏队,PE6420,20170911,西藏自治区,2969,山谷林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01891827.jpg,,,,,,,,,, +西藏假瘤蕨,Selliguea tibetana,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201091,20200721,西藏,2192,岩石上,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1507878.jpg,,,,,,,,,, +三出假瘤蕨,Selliguea trisecta,金摄郎、张九兵,JSL2850,20150526,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0111903.jpg,,,,,,,,,, +,Selliguea trisecta,"Henry, Augustine",9891,,,,,,,https://image.cvh.ac.cn/files/l/E/E00433977.jpg,,,,,,,,,, +三出假瘤蕨,Selliguea trisecta,周喜乐,严岳鸿,王莹,张九兵,ZXL07102,20151024,云南,1943,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0115605.jpg,,,,,,,,,, +,Selliguea wardii,,,,,,,,,,,,,,,,,,, +,Selliguea wusugongii,,,,,,,,,,,,,,,,,,, +,Senecio atrofuscus,T.T.Yu,12745,19370805,云南省,3400,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836342.jpg,,,,,,,,,, +黑褐千里光,Senecio atrofuscus,罗建、汪书丽,LIUJQ082,20110827,西藏自治区,0~4243,山坡灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280496.jpg,,,,,,,,,, +,Senecio atrofuscus,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",14324,11-Aug-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00417019.jpg,,,,,,,,,, +中甸千里光,Senecio chungtienensis,尹志坚等,1435,20090721,云南省,3000,Roadsides,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885413.jpg,,,,,,,,,, +,Senecio chungtienensis,"Forrest, George",12641,14-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00413186.jpg,,,,,,,,,, +稻城千里光,Senecio daochengensis,植被调查队,3884,19730821,四川省,4800,灌丛山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01854638.jpg,,,,,,,,,, +稻城千里光,Senecio daochengensis,T.T.Yu,12745,,云南省,3400,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834030.jpg,,,,,,,,,, +,Senecio daochengensis,彭玉兰、涂卫国,Gaoxf841,20080828,四川,3107,,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0238264.jpg,,,,,,,,,, +密齿千里光,Senecio densiserratus,"李良千,王忠涛,杜玉芬,卫然",307,20110915,甘肃省,3000~3200,山谷沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01914121.jpg,,,,,,,,,, +密齿千里光,Senecio densiserratus,Wei-Ying Hsia,7043,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00608790.jpg,,,,,,,,,, +密齿千里光,Senecio densiserratus,"朱大海,张超,李小杰",4644,20070811,四川省,2600,路边、林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882680.jpg,,,,,,,,,, +异羽千里光,Senecio diversipinnus,王作宾,20022,1964/8/11,青海,3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0231871.jpg,,,,,,,,,, +,Senecio diversipinnus,"陈又生,王泽欢",9189,20090730,四川省,2500~3100,山谷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053463.jpg,,,,,,,,,, +,Senecio diversipinnus,,,,,,,,,,,,,,,,,,, +黑缘千里光,Senecio dodrans,D. E. Boufford et al.,39828,20070816,四川省,4260~4400,in patches of soil on rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01895008.jpg,,,,,,,,,, +,Senecio drukensis,罗建等,LuoJian-ML037,20090927,西藏自治区,4625,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912830.jpg,,,,,,,,,, +垂头千里光,Senecio drukensis,克里木,92370,1992.8.2,新疆维吾尔自治区 ,1500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00045310.jpg,,,,,,,,,, +垂头千里光,Senecio drukensis,克里木,92370,1992820,,1500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20025707.jpg,,,,,,,,,, +裸缨千里光,Senecio echaetus,"李渤生,李辉,阳艺",13360,19900901,西藏自治区,3100,亚高山草甸时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01507115.jpg,,,,,,,,,, +裸缨千里光,Senecio echaetus,"张挺, 刘成, 亚吉东",18CS17708,20180916,西藏,3850,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487413.jpg,,,,,,,,,, +红毛千里光,Senecio erythropappus,,样71H,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803257.jpg,,,,,,,,,, +红毛千里光,Senecio erythropappus,武陵山考察队,2738,19880719,重庆市,,杂灌木林,,有花有果,https://image.cvh.ac.cn/files/l/PE/01320777.jpg,,,,,,,,,, +,Senecio erythropappus,贺贤育,6276,19350823,四川省,,among thicket in grass,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00497870.jpg,,,,,,,,,, +工布千里光,Senecio kongboensis,"陈又生,王泽欢",9429,20090813,西藏自治区,4800,沙坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053288.jpg,,,,,,,,,, +,Senecio kongboensis,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",14432,22-Aug-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00385525.jpg,,,,,,,,,, +拉萨千里光,Senecio lhasaensis,钟补求,6159,19530925,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854672.jpg,,,,,,,,,, +拉萨千里光,Senecio lhasaensis,青藏队补点组,751468,19750821,西藏自治区,4200,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854655.jpg,,,,,,,,,, +丽江千里光,Senecio lijiangensis,中甸队,1431,19600806,云南省,3700~3800,冷杉林下成片生长,,有花有果,https://image.cvh.ac.cn/files/l/PE/00634261.jpg,,,,,,,,,, +君范千里光,Senecio lingianus,"陈又生,王泽欢",9338,20090808,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053466.jpg,,,,,,,,,, +大花千里光,Senecio megalanthus,青藏队,4995,19810818,四川省,4800,山坡 流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609233.jpg,,,,,,,,,, +大花千里光,Senecio megalanthus,刘波,LIU-B-069,20130712,吉林,187,湖滨带,,无花有果,https://image.cvh.ac.cn/files/l/IGA/IGA0009738.jpg,,,,,,,,,, +兔儿伞,Senecio megalanthus,学生,,19790826,黑龙江,,,,有花无果,https://image.cvh.ac.cn/files/l/NEAU/NEAU0000945.jpg,,,,,,,,,, +木里千里光,Senecio muliensis,陈又生,9629,20090827,四川省,4000,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053157.jpg,,,,,,,,,, +木里千里光,Senecio muliensis,T.T.Yu,14591,19371020,,4000,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609241.jpg,,,,,,,,,, +木里千里光,Senecio muliensis,张挺、郭永杰,16CS13671,20160831,四川,4739,高山草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1481012.jpg,,,,,,,,,, +多苞千里光,Senecio multibracteolatus,,11716,19761013,四川省,2800,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01690065.jpg,,,,,,,,,, +多苞千里光,Senecio multibracteolatus,,2749,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609249.jpg,,,,,,,,,, +多苞千里光,Senecio multibracteolatus,海仙、李磊、谢爱芳,LCJ-167,20100909,云南省,2961,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 004938.jpg,,,,,,,,,, +,Senecio myriocephalus,生态室高原组,14953,19800906,西藏自治区,3800,高山 草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447357.jpg,,,,,,,,,, +多头千里光,Senecio myriocephalus,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2620,20090925,西藏,3710,杜鹃灌丛下,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1436668.jpg,,,,,,,,,, +黑苞千里光,Senecio nigrocinctus,武素功,1460,19590623,四川省,2100,山箐中疏林下溪边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/724354.jpg,,,,,,,,,, +黑苞千里光,Senecio nigrocinctus,蔡希陶,58006,,云南,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0039125.jpg,,,,,,,,,, +黑苞千里光,Senecio nigrocinctus,杨文光,DT7338,20190802,四川,3467,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1514690.jpg,,,,,,,,,, +,Senecio nodiflorus,"Forrest, George",20592,21-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00385514.jpg,,,,,,,,,, +节花千里光,Senecio nodiflorus,康藏植物考察队,10-2570,20100820,云南省,4000~4200,高山草甸,,,https://image.cvh.ac.cn/files/l/PE/02053743.jpg,,,,,,,,,, +节花千里光,Senecio nodiflorus,T.T.Yu,10524,19371011,云南,3200,山箐石堆,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830884.jpg,,,,,,,,,, +蕨叶千里光,Senecio pteridophyllus,程堂仁,张强英,郭治友等,H-黔丹寨-Z-0542,20100813,贵州,531,草坡上,草本、喜阳,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00073438.jpg,,,,,,,,,, +,Senecio pteridophyllus,王乾,M-64,20180627,四川,2536,,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273476.jpg,,,,,,,,,, +蕨叶千里光,Senecio pteridophyllus,罗亚皇,YMT2600-1-1085,20140827,云南,2730,华山松-云南松林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1446751.jpg,,,,,,,,,, +,Senecio saussureoides,"Smith, Harry",12119,13-Sep-34,,,,,,https://image.cvh.ac.cn/files/l/E/E00413177.jpg,,,,,,,,,, +风毛菊状千里光,Senecio saussureoides,FLPH Sichuan Expedition,151451,20150828,四川省,4010,grassy slopes and thcikets,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084188.jpg,,,,,,,,,, +风毛菊状千里光,Senecio saussureoides,T.N.Ho B.Barthlolmew M.Watson et al,2398,19960825,青海省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01673797.jpg,,,,,,,,,, +匙叶千里光,Senecio spathiphyllus,Schultze-Motel,101,19570106,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0602197.jpg,,,,,,,,,, +匙叶千里光,Senecio spathiphyllus,"田,张",95(12),19810805,云南省,3260,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01690153.jpg,,,,,,,,,, +匙叶千里光,Senecio spathiphyllus,陈善墉 何铸 钟明芳,10320,19580621,四川,,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719403716.jpg,,,,,,,,,, +三尖千里光,Senecio tricuspis,康藏植物考察队,10-2827,20100826,云南省,3900,溪边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053494.jpg,,,,,,,,,, +三尖千里光,Senecio tricuspis,青藏队,12996,19830819,四川省,3400,山坡Abies 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776339.jpg,,,,,,,,,, +三尖千里光,Senecio tricuspis,倪志诚 汪永泽 次多 次旦,915,19800730,西藏自治区,1860,杂木林之下,灌木,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0008223.jpg,,,,,,,,,, +高原绢蒿,Seriphidium grenardii,新疆综合考察队,k-89,19590513,新疆维吾尔自治区,2600,昆仓山坡前山带,黄土山梁北4度,,无花无果,https://image.cvh.ac.cn/files/l/PE/00457524.jpg,,,,,,,,,, +高原绢蒿,Seriphidium grenardii,,s.n.,,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617630.jpg,,,,,,,,,, +,Seseli purpureovaginatum,"王东超,杨大松,张春林",YangYP-Q-5095,20110911,西藏自治区,4297,河边草地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337200.jpg,,,,,,,,,, +紫鞘西风芹,Seseli purpureovaginatum,陈晓澄等,5896,20140805,西藏,4295,灌林山顶,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00021281.jpg,,,,,,,,,, +紫鞘西风芹(紫鞘邪蒿),Seseli purpureovaginatum,侯元同,郭成勇,侯春丽,201605267-1,20160501,四川省,1975.9,石壁瀑布下,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0025477.jpg,,,,,,,,,, +粗糙西风芹,Seseli squarrulosum,攀枝花苏铁考察队,554,20100916,四川省,1637,灌草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879899.jpg,,,,,,,,,, +粗糙西风芹,Seseli squarrulosum,Tso-Pin Wang,7220,19820601,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00026062.jpg,,,,,,,,,, +粗糙西风芹,Seseli squarrulosum,傅坤俊,16370,1964/7/29,甘肃,1700,,草本、直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0363764.jpg,,,,,,,,,, +云南狗尾草,Setaria yunnanensis,陈文允,于文涛,黄永江,李国锋,CYHL031,20090921,云南,2380,林缘田边草坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1404390.jpg,,,,,,,,,, +云南狗尾草,Setaria yunnanensis,滇西北队,6625,19530822,云南省,2900,路边常绿栎林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/318846.jpg,,,,,,,,,, +云南狗尾草,Setaria yunnanensis,刘林翰等,16569,19631105,湖南省,300,丘陵 路边 平地 密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01645124.jpg,,,,,,,,,, +,Sibbaldia pentaphylla,吴中伦,40390,19590617,云南,,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00017022.jpg,,,,,,,,,, +五叶山莓草,Sibbaldia pentaphylla,李馨,77863,1958/6/23,四川,4500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0251766.jpg,,,,,,,,,, +五叶山莓草,Sibbaldia pentaphylla,果洛队,376,19710730,青海省,4100,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/107115.jpg,,,,,,,,,, +,Sibbaldia phanerophylebia,,,,,,,,,,,,,,,,,,, +纤细山莓草,Sibbaldia tenuis,姜恕等,8990,19610609,四川省,3600,Picea purpurea 火烧迹地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948572.jpg,,,,,,,,,, +纤细山莓草,Sibbaldia tenuis,青甘队,2605,1960/6/18,青海,2550,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0167342.jpg,,,,,,,,,, +纤细山莓草,Sibbaldia tenuis,王作宾,14369,1951/7/13,甘肃,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0049650.jpg,,,,,,,,,, +窄叶鲜卑花,Sibiraea angustata,J.F. Rock,17497,29-Jul,四川; SZECHWAN,4120,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00073670.jpg,,,,,,,,,, +窄叶鲜卑花,Sibiraea angustata,"李新辉, 杨涛, 温昌润",Lixh47,20170912,四川,4118,高山灌丛草甸,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1457391.jpg,,,,,,,,,, +窄叶鲜卑花,Sibiraea angustata,"徐波, 陈光富, 陈林杨, 董金龙等",SunH-07ZX-0890,20080725,西藏,,高山灌丛草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1317312.jpg,,,,,,,,,, +毛叶鲜卑花,Sibiraea tomentosa,T.T.Yu,11321,19370517,云南省,2500,rocky hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948803.jpg,,,,,,,,,, +,Sibiraea tomentosa,"Forrest, G.",2432,,,,,,,https://image.cvh.ac.cn/files/l/P/P01819116.jpg,,,,,,,,,, +,Sibiraea tomentosa,,,19580600,北京,3000,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00017027.jpg,,,,,,,,,, +,Silene adenocalyx,,,,,,,,,,,,,,,,,,, +,Silene atrocastanea,,,,,,,,,,,,,,,,,,, +,Silene atsaensis,,,,,,,,,,,,,,,,,,, +,Silene batangensis,,,,,,,,,,,,,,,,,,, +,Silene bilingua,,,,,,,,,,,,,,,,,,, +,Silene cardiopetala,,,,,,,,,,,,,,,,,,, +,Silene chodatii,,,,,,,,,,,,,,,,,,, +,Silene chungtienensis,,,,,,,,,,,,,,,,,,, +,Silene davidii,,,,,,,,,,,,,,,,,,, +,Silene dawoensis,,,,,,,,,,,,,,,,,,, +,Silene delavayi,,,,,,,,,,,,,,,,,,, +,Silene dumetosa,,,,,,,,,,,,,,,,,,, +,Silene esquamata,,,,,,,,,,,,,,,,,,, +,Silene gracilenta,,,,,,,,,,,,,,,,,,, +,Silene grandiflora,,,,,,,,,,,,,,,,,,, +,Silene herbilegorum,,,,,,,,,,,,,,,,,,, +,Silene huguettiae,,,,,,,,,,,,,,,,,,, +,Silene kialensis,,,,,,,,,,,,,,,,,,, +,Silene lamarum,,,,,,,,,,,,,,,,,,, +,Silene lhassana,,,,,,,,,,,,,,,,,,, +,Silene lichiangensis,,,,,,,,,,,,,,,,,,, +,Silene lineariloba,,,,,,,,,,,,,,,,,,, +,Silene melanantha,,,,,,,,,,,,,,,,,,, +,Silene monbeigii,,,,,,,,,,,,,,,,,,, +,Silene muliensis,,,,,,,,,,,,,,,,,,, +,Silene multifurcata,,,,,,,,,,,,,,,,,,, +,Silene namlaensis,,,,,,,,,,,,,,,,,,, +,Silene nangqenensis,,,,,,,,,,,,,,,,,,, +,Silene napuligera,,,,,,,,,,,,,,,,,,, +,Silene oblanceolata,,,,,,,,,,,,,,,,,,, +,Silene principis,,,,,,,,,,,,,,,,,,, +,Silene pubicalycina,,,,,,,,,,,,,,,,,,, +,Silene puranensis,,,,,,,,,,,,,,,,,,, +,Silene rosiflora,,,,,,,,,,,,,,,,,,, +,Silene rubricalyx,,,,,,,,,,,,,,,,,,, +,Silene subcretacea,,,,,,,,,,,,,,,,,,, +,Silene trachyphylla,,,,,,,,,,,,,,,,,,, +,Silene wardii,,,,,,,,,,,,,,,,,,, +,Silene yetii,,,,,,,,,,,,,,,,,,, +,Silene yunnanensis,,,,,,,,,,,,,,,,,,, +,Silene zhongbaensis,,,,,,,,,,,,,,,,,,, +,Silene zhoui,,,,,,,,,,,,,,,,,,, +,Sinacalia caroli,白龙江考察队,817,19980726,甘肃省,2700,山地 山坡 疏林 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01556213.jpg,,,,,,,,,, +,Sinacalia caroli,"郎楷永,李良千,费勇",1263,19820824,四川省,2100~2300,东南坡银厂沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01535792.jpg,,,,,,,,,, +华福花,Sinadoxa corydalifolia,杨永昌,46,19640614,青海省,4800,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/002969.jpg,,,,,,,,,, +长柄小芹,Sinocarum dolichopodum,北京所横断山队,2267,19810729,云南省,4100~4400,高山 流石坡细质湿地常见种,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132048.jpg,,,,,,,,,, +长柄小芹,Sinocarum dolichopodum,青藏队,12722,19830808,四川省,3700,山坡 灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132047.jpg,,,,,,,,,, +,Sinocarum dolichopodum,"Forrest, George",2872,6-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00000370.jpg,,,,,,,,,, +蕨叶小芹,Sinocarum filicinum,川经西,2262,19590717,四川省,4100,山坡岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0467162.jpg,,,,,,,,,, +蕨叶小芹,Sinocarum filicinum,联大,12092,19380911,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465895.jpg,,,,,,,,,, +蕨叶小芹,Sinocarum filicinum,任婷、李子宣,2044130,20201029,云南,3201,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/02044130.jpg,,,,,,,,,, +,Sinocarum pityophilum,"Forrest, George",3078,6-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00000442.jpg,,,,,,,,,, +,Sinocarum vaginatum,"陈世龙,高庆波,张发起等",ChenSL0669,20090818,青海省,4130,高山河谷,柏树林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1337215.jpg,,,,,,,,,, +阔鞘小芹,Sinocarum vaginatum,T.T.Yu,9032,19370715,云南省 ,4000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0461807.jpg,,,,,,,,,, +阔鞘小芹,Sinocarum vaginatum,陈晓澄等,Chenxc-048,20170822,青海,3590,灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018017.jpg,,,,,,,,,, +,Sinochasea trigyna,青藏队植被组,12536,19760913,西藏自治区,5300,沟谷中常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076329.jpg,,,,,,,,,, +三蕊草,Sinochasea trigyna,四川植被队,28212,1980-7 5,四川省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0157384.jpg,,,,,,,,,, +三蕊草,Sinochasea trigyna,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20902,20200701,西藏,3969,岩壁上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507130.jpg,,,,,,,,,, +,Sinocrassula ambigua,,,,,,,,,,,,,,,,,,, +,Sinocrassula techinensis,,,,,,,,,,,,,,,,,,, +裂苞舟瓣芹,Sinolimprichtia alpina,,3276A,19810818,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538803.jpg,,,,,,,,,, +舟瓣芹,Sinolimprichtia alpina,D.E.Boufford et al.,34070,20050803,四川省,4785~4900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924606.jpg,,,,,,,,,, +舟瓣芹,Sinolimprichtia alpina,C.W.Wang,64977,19350803,云南省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00026144.jpg,,,,,,,,,, +,Sinosassafras flavinervium,彭华等,H-滇云龙Z4639,20101025,云南省,2643,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1204112.jpg,,,,,,,,,, +华檫木,Sinosassafras flavinervium,叶金科,赵强,YNS0209,20080726,云南,2084,公路边,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230903.jpg,,,,,,,,,, +植夫蒲儿根,Sinosenecio fangianus,"Qiong Yuan,Qin-er Yang,Ying Liu",1027,20070704,四川省,2800,On the slope in bushes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956041.jpg,,,,,,,,,, +圆叶华千里光,Sinosenecio rotundifolius,"Qiong Yuan,Qin-er Yang,Ying Liu",1034,20070705,四川省,2500,On the slope in bushes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956056.jpg,,,,,,,,,, +圆叶华千里光,Sinosenecio rotundifolius,白水江考察队,320,20060626,甘肃省,2500,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612602.jpg,,,,,,,,,, +莲座蒲儿根,Sinosenecio subrosulatus,王作宾,14462,19510719,甘肃省,3300,冷杉林下生苔藓深原处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00853152.jpg,,,,,,,,,, +莲座蒲儿根,Sinosenecio subrosulatus,鞠文彬,张良,陈德奎,AZH01335,20160617,四川,3581,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0235439.jpg,,,,,,,,,, +莲座蒲儿根,Sinosenecio subrosulatus,"Qiong Yuan,Qin-er Yang,Ying Liu",1014,20070703,四川省,3100,Under forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956037.jpg,,,,,,,,,, +松潘蒲儿根,Sinosenecio sungpanensis,"Qiong Yuan,Qin-er Yang,Ying Liu",1042,20070710,四川省,3350,Along streamside under the forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956039.jpg,,,,,,,,,, +,Sinosophiopsis bartholomewii,"T. N. Ho, B. Bartholomew, M. F. Watson & M. G. Gil",2621,1996/8/29,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00128303.jpg,,,,,,,,,, +帕米尔假蒜芥,Sisymbriopsis pamirica,西植新疆队,1031,1978/7/5,新疆维吾尔族自治区,3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0334252.jpg,,,,,,,,,, +,Sisymbriopsis yechengnica,,,,,,,,,,,,,,,,,,, +云南大蒜芥,Sisymbrium yunnanense,俞德俊,11330,1937-05-,云南省,2000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0137979.jpg,,,,,,,,,, +云南大蒜芥,Sisymbrium yunnanense,宋滋圃,39136,19540000,四川省,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0532116.jpg,,,,,,,,,, +,Sisymbrium yunnanense,"Forrest, George",10593,13-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00083300.jpg,,,,,,,,,, +庭菖蒲,Sisyrinchium rosulatum,Chih-Hui Chen,1002,19910708,台湾省,2270,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00016081.jpg,,,,,,,,,, +庭菖蒲,Sisyrinchium rosulatum,川西队 关克俭 汪劲武 李朝銮,329,19640501,四川省,800,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238748.jpg,,,,,,,,,, +庭菖蒲,Sisyrinchium rosulatum,"沈云光,仲轶,孙海陆",zy0043,20080930,云南省,1600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02238738.jpg,,,,,,,,,, +,Sium frigidum,"Handel-Mazzetti, Heinrich",7684,16-Aug-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00000562.jpg,,,,,,,,,, +滇西泽芹,Sium frigidum,四川省植被调查队,2152,19730718,四川省,4600,沼泽草甸中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465925.jpg,,,,,,,,,, +滇西泽芹,Sium frigidum,青藏队横断山队,1432,19810624,云南省,3300~3350,高山 沼泽 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129740.jpg,,,,,,,,,, +苍白菝葜,Smilax aberrans,生态室高原组,11452,19800729,西藏自治区,1800,常绿林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376588.jpg,,,,,,,,,, +弯梗菝葜,Smilax aberrans,陈念劬,42396,19301206,香港,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00140100.jpg,,,,,,,,,, +弯梗菝葜,Smilax aberrans,刘仁林、唐忠炳,170720180,20170720,江西,,林下,,无花有果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0006635.jpg,,,,,,,,,, +尖叶菝葜,Smilax arisanensis,S.K.WU et al.,3982,19961015,云南省,2300,under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01944426.jpg,,,,,,,,,, +尖叶菝葜,Smilax arisanensis,Tsang W.T.,20434,1932/5/5,广东; KWANGTUNG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00024010.jpg,,,,,,,,,, +尖叶菝葜,Smilax arisanensis,"李渤生,程树志等",5000,19830603,西藏自治区,850,丛林中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01376596.jpg,,,,,,,,,, +穗菝葜,Smilax aspera,"吴征镒,费德罗夫,吉尔比奇尼可夫等",1000,19550511,云南省,1150,潮湿热带林,,无花无果,https://image.cvh.ac.cn/files/l/PE/00333624.jpg,,,,,,,,,, +穗菝葜,Smilax aspera,青藏队植被组,3093,19740907,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01518961.jpg,,,,,,,,,, +穗菝葜,Smilax aspera,郭永杰,赵文李,唐培洵,金仙玲,张香群,13CS7320,20130417,云南,1620,澜沧江河谷灌丛山坡,草质藤本,,https://image.cvh.ac.cn/files/l/KUN/1396635.jpg,,,,,,,,,, +疣枝菝葜,Smilax aspericaulis,Luetta Chen,92,1936/4/4,福建; FUKIEN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00024015.jpg,,,,,,,,,, +疣枝菝葜,Smilax aspericaulis,华南队,1047,19890524,广西壮族自治区,1200,山地、山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/02017809.jpg,,,,,,,,,, +疣枝菝葜,Smilax aspericaulis,陈念劬,44722,19321230,海南省,1000,攀援在乔木上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00333639.jpg,,,,,,,,,, +巴坡菝葜,Smilax bapouensis,"朱鑫鑫, 王君, 林庶",ZXX191761,20191209,云南,2356,亚热带常绿阔叶林,林中,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483550.jpg,,,,,,,,,, +西南菝葜,Smilax biumbellata,PE-古蔺考察队,105,20100529,四川省,1081~1772,"山坡,杂木林",,无花有果,https://image.cvh.ac.cn/files/l/PE/01864763.jpg,,,,,,,,,, +西南菝葜,Smilax biumbellata,D.E.Boufford,20643,19790504,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00022130.jpg,,,,,,,,,, +,Smilax biumbellata,王海峰、杜阳平、刘基男、王义康,DY0125,20190426,四川,1224,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0269398.jpg,,,,,,,,,, +,Smilax elegans,,1002,19950920,云南省,2400,Limestone rocks,,无花有果,https://image.cvh.ac.cn/files/l/PE/01570119.jpg,,,,,,,,,, +西藏菝葜,Smilax elegans,,5851,19350806,四川省,600,under thickets,shrub,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00564672.jpg,,,,,,,,,, +长托菝葜,Smilax ferox,Forrest,9768,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00024276.jpg,,,,,,,,,, +长托菝葜,Smilax ferox,刘克明,朱晓文,SCSB-HN-0504,20060930,湖南,820,山谷沟边,灌木,,https://image.cvh.ac.cn/files/l/KUN/1392355.jpg,,,,,,,,,, +长托菝葜,Smilax ferox,"聂敏祥,赖书绅",2930,1958/6/5,江西,,,藤本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0265898.jpg,,,,,,,,,, +墨托菝葜,Smilax griffithii,李渤生等,4282,19830422,西藏自治区,1500~1700,常绿阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805483.jpg,,,,,,,,,, +肖菝葜,Smilax japonica,彭春良,86243,19860525,湖南省,500,山坡,藤本,无花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI043351.jpg,,,,,,,,,, +肖菝葜,Smilax japonica,张代贵,YH140601336,20140601,湖南张家界,,灌丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU44336.jpg,,,,,,,,,, +肖菝葜,Smilax japonica,张代贵,2161,20110810,湖南湘西州,,山坡密林,攀援灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU24803.jpg,,,,,,,,,, +建昆菝葜,Smilax jiankunii,孙兴旭,SunXX104,20151115,云南省,1520,季风常绿针阔混交林路边,木质藤本,,https://image.cvh.ac.cn/files/l/KUN/1396648.jpg,,,,,,,,,, +马甲菝葜,Smilax lanceifolia,A. Henry,11239,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00024408.jpg,,,,,,,,,, +马甲菝葜,Smilax lanceifolia,旷仁平,LXP03-01575,20131006,湖南,602,山谷、壤土(红壤)、疏林、路旁、灌丛、常见种,陆生、灌木、直立,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00197004.jpg,,,,,,,,,, +马甲菝葜,Smilax lanceifolia,"李文峰, 刘成|920, 杨娅娟, 杨忠兰",YYGYS041,20151027,云南,,常绿阔叶林林缘,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1441374.jpg,,,,,,,,,, +,Smilax longebracteolata,李剑武,1966,20120910,云南,1680,石灰山,藤本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027911.jpg,,,,,,,,,, +长苞菝葜,Smilax longebracteolata,李攀,LP1110121,20111025,云南省,2006,山坡小路边,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0097571.jpg,,,,,,,,,, +长苞菝葜,Smilax longebracteolata,魏志平,20616,19581105,四川,600,山谷中,,无花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093930.jpg,,,,,,,,,, +沪水菝葜,Smilax lushuiensis,方文培,36336,19530717,四川省,0~3600,,攀援藤本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0700087.jpg,,,,,,,,,, +泸水菝葜,Smilax lushuiensis,北京植物所横断山队,74,19810527,云南省,2700,山坡常绿阔叶林下,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00035181.jpg,,,,,,,,,, +沪水菝葜,Smilax lushuiensis,邢吉庆,494,19590509,陕西省,0~790,,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0700078.jpg,,,,,,,,,, +,Smilax mairei,,,,,,,,,,,,,,,,,,, +无刺菝葜,Smilax mairei,"Li Heng,Yang Shixiong,Lei Ligong et Ji Yunheng",1553,20030417,云南省,2590,常绿阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02308961.jpg,,,,,,,,,, +无刺菝葜,Smilax mairei,,100,19730616,西藏自治区,2400,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01949491.jpg,,,,,,,,,, +大果菝葜,Smilax megacarpa,詹选怀、彭焱松等,LXP2272,20140708,湖北,694,山坡、灌丛,藤本,无花有果,https://image.cvh.ac.cn/files/l/LBG/LBG00122648.jpg,,,,,,,,,, +大果菝葜,Smilax megacarpa,赵万义、叶矾、张信坚,LXp-13-25081,20171214,江西,1206,山坡、腐殖土、疏林、偶见种,陆生、藤本、攀援状,无花有果,https://image.cvh.ac.cn/files/l/SYS/SYS00200449.jpg,,,,,,,,,, +大果菝葜,Smilax megacarpa,陈彬、王正伟、许源,WZW01175,20140710,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0009830.jpg,,,,,,,,,, +防己叶菝葜,Smilax menispermoidea,F.Miyamoto et al.,9596174,19950727,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01643045.jpg,,,,,,,,,, +防己叶菝葜,Smilax menispermoidea,夏江林,122,19960426,湖南省,450,山地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01944019.jpg,,,,,,,,,, +防己叶菝葜,Smilax menispermoidea,巴山采集队,2456,20080728,重庆市,2457,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01860766.jpg,,,,,,,,,, +小叶菝葜,Smilax microphylla,巴山采集队,6103,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066259.jpg,,,,,,,,,, +,Smilax microphylla,,,,,,,,,,,,,,,,,,, +,Smilax minutiflora,"刘成, 亚吉东",18CS17202,20181118,西藏,1592,次生林下,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486738.jpg,,,,,,,,,, +劲直菝葜,Smilax munita,洪德元等,H12036,20120808,西藏自治区,2038,林缘灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01896784.jpg,,,,,,,,,, +,Smilax munita,王启无,67323,19351000,云南省,2800,"mountain slope,border of woods","bushes,small shrub",无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00564117.jpg,,,,,,,,,, +,Smilax munita,H.T.Tsai,58814,,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00564119.jpg,,,,,,,,,, +乌饭叶菝葜,Smilax myrtillus,"李渤生,程树志",3488,19830119,西藏自治区,2100,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376579.jpg,,,,,,,,,, +乌饭叶菝葜,Smilax myrtillus,黔南队,821,19590428,贵州省,1400,山坡山顶灌丛中,藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00564733.jpg,,,,,,,,,, +乌饭叶菝葜,Smilax myrtillus,,58840,,,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00563384.jpg,,,,,,,,,, +,Smilax nana,"Forrest, George",21065,22-Jan,,,,,,https://image.cvh.ac.cn/files/l/E/E00327084.jpg,,,,,,,,,, +矮菝葜,Smilax nana,李克纲、李贵、张成等,CB20150514_0006,20150514,湖南,1028,河谷,直立小灌木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU31680.jpg,,,,,,,,,, +矮菝葜,Smilax nana,张代贵、陈功锡,LXP-06-2469,20141018,江西省,436,路旁,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU00265.jpg,,,,,,,,,, +抱茎菝葜,Smilax ocreata,生态室高原组,11343,19800727,西藏自治区,1900,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376597.jpg,,,,,,,,,, +,Smilax ocreata,,,,,,,,,,,,,,,,,,, +抱茎菝葜,Smilax ocreata,,46,,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00538711.jpg,,,,,,,,,, +卵叶菝葜,Smilax ovalifolia,,Q11藤1,19620824,广西壮族自治区,650,杉木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02018107.jpg,,,,,,,,,, +卵叶菝葜,Smilax ovalifolia,C.O.Levine,,19161012,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039042.jpg,,,,,,,,,, +卵叶菝葜,Smilax ovalifolia,四川农学院,7414,19581006,四川省,0~1600,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0699778.jpg,,,,,,,,,, +穿鞘菝葜,Smilax perfoliata,贵州队,6273,1960/7/15,贵州,1050,,藤本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0222367.jpg,,,,,,,,,, +穿鞘菝葜,Smilax perfoliata,广西队,237,19550604,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02018190.jpg,,,,,,,,,, +穿鞘菝葜,Smilax perfoliata,M.K.Li,1413,1939/12/9,云南,1100,,sprrading shrub,无花有果,https://image.cvh.ac.cn/files/l/WUK/0245942.jpg,,,,,,,,,, +方枝菝葜,Smilax quadrata,,9967,19590000,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/049918.jpg,,,,,,,,,, +方枝菝葜,Smilax quadrata,邬文祥,10264,19990516,云南省 ,,山坡路旁,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00585410.jpg,,,,,,,,,, +方枝菝葜,Smilax quadrata,"程树志,李渤生",3204,19821130,西藏自治区,1000,杂木林下缠绕,,无花有果,https://image.cvh.ac.cn/files/l/PE/01447853.jpg,,,,,,,,,, +苍白菝葜,Smilax retroflexa,彭玉德,黄雪彦,李金花,451421160525003LY,20160525,广西,253,阔叶林,林缘,黄棕壤,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0187786.jpg,,,,,,,,,, +苍白菝葜,Smilax retroflexa,,97,19590421,四川省,900,中山,路边,灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00333562.jpg,,,,,,,,,, +苍白菝葜,Smilax retroflexa,中苏队,2061,19560614,云南省,,密林下,路旁阴处,,无花有果,https://image.cvh.ac.cn/files/l/PE/00333549.jpg,,,,,,,,,, +鞘柄菝葜,Smilax stans,张志英,5546,19590622,甘肃省,2280,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01949069.jpg,,,,,,,,,, +鞘柄菝葜,Smilax stans,云台山采集队,454,20090421,河南省,,山沟坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039329.jpg,,,,,,,,,, +鞘柄菝葜,Smilax stans,巴山采集队,2760,20080728,重庆市,1527,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01860778.jpg,,,,,,,,,, +,Smithorchis calceoliformis,,,,,,,,,,,,,,,,,,, +,Smitinandia micrantha,吉占和,92-284,19920505,云南省,,林中树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00850315.jpg,,,,,,,,,, +,Smitinandia micrantha,李剑武、谭运洪,1379,20120508,,100,雨林,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027626.jpg,,,,,,,,,, +宽果丛菔,Solms-laubachia eurycarpa,张挺、郭永杰、姜虹,16CS13662,20160830,四川,4900,冰川下方岩石边,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1481018.jpg,,,,,,,,,, +,Solms-laubachia eurycarpa,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0930,20080726,西藏,4495,高山灌丛草甸至流石滩,直立草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1300870.jpg,,,,,,,,,, +宽果丛菔,Solms-laubachia eurycarpa,青藏队,5428,19810827,四川省,4300,冰舌下流石滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01123414.jpg,,,,,,,,,, +绵毛丛菔,Solms-laubachia lanata,"张永田,郞楷永",1898,19650818,西藏自治区,5000,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01123419.jpg,,,,,,,,,, +线叶丛菔,Solms-laubachia linearifolia,D.E.Boufford & B.Bartholomew et.al.,28180,19980702,四川省,4600~4700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869044.jpg,,,,,,,,,, +,Solms-laubachia linearifolia,"Kingdon-Ward, Francis",55,11-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00022553.jpg,,,,,,,,,, +线叶丛菔,Solms-laubachia linearifolia,G.Forrest,28577,19300000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01123429.jpg,,,,,,,,,, +细叶丛菔,Solms-laubachia minor,"H. Akiyama,H. Kudo,J. Murata,T. Sugawara,N. Tanaka",1196,19971018,广西壮族自治区,,无,,,https://image.cvh.ac.cn/files/l/KUN/1289882.jpg,,,,,,,,,, +细叶丛菔,Solms-laubachia minor,D.E.Boufford et al.,29223,19980725,云南省,4280~4600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898031.jpg,,,,,,,,,, +,Solms-laubachia minor,"Handel-Mazzetti, Heinrich",2318,18-May-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00022573.jpg,,,,,,,,,, +丛菔,Solms-laubachia pulcherrima,西藏中草药普查队,1004,19720804,西藏自治区,5200~5300,高山沙坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01123449.jpg,,,,,,,,,, +丛菔,Solms-laubachia pulcherrima,G.Forrest,30015,19310000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01123447.jpg,,,,,,,,,, +丛菔,Solms-laubachia pulcherrima,杨竞生,91-415,19910620,四川省,4750,石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01123435.jpg,,,,,,,,,, +倒毛丛菔,Solms-laubachia retropilosa,D.E.Bouford et al.,36083,20060808,四川省,4500~4600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900397.jpg,,,,,,,,,, +倒毛丛菔,Solms-laubachia retropilosa,Tang et xia,569,19820730,西藏自治区,5010,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01351057.jpg,,,,,,,,,, +倒毛丛菔,Solms-laubachia retropilosa,"李新辉, 杨涛, 温昌润",Lixh27,20170910,四川,4554,高山流石滩,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1455506.jpg,,,,,,,,,, +旱生丛菔,Solms-laubachia xerophyta,T.T.Yu,13043,19370830,四川省,4100,upon precipuons rocks,,无花有果,https://image.cvh.ac.cn/files/l/PE/01123461.jpg,,,,,,,,,, +,Solms-laubachia xerophyta,"Forrest, George",16444,18-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00022619.jpg,,,,,,,,,, +旱生丛菔,Solms-laubachia xerophyta,T.T.Yu,12306,19370719,云南省,3700,rocky hill,,无花有果,https://image.cvh.ac.cn/files/l/PE/01123463.jpg,,,,,,,,,, +白毛花楸,Sorbus albopilosa,PE西藏队,PE6296,20170911,西藏自治区,2445,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330082.jpg,,,,,,,,,, +白毛花楸,Sorbus albopilosa,Koji Yonekura & Kiyoshi Matsui,4961,20000611,,590~600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01638696.jpg,,,,,,,,,, +白毛花楸,Sorbus albopilosa,任,781221,19780101,西藏,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00026550.jpg,,,,,,,,,, +多变花楸,Sorbus astateria,生态室高原组,14121,19800808,西藏自治区,1500,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093614.jpg,,,,,,,,,, +多变花楸,Sorbus astateria,K.M.Feng,8208,19401006,云南省,,杂林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00949639.jpg,,,,,,,,,, +,Sorbus astateria,"Ducloux, F.",3318,1905/2/15,,,,,,https://image.cvh.ac.cn/files/l/P/P00689921.jpg,,,,,,,,,, +俅江花楸,Sorbus kiukiangensis,"李文华,胡勇",453,19810730,云南省,2200,干热河谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01612390.jpg,,,,,,,,,, +俅江花楸,Sorbus kiukiangensis,F.Ludlow et al.,5782a,19380708,西藏自治区,3833,,Tree,有花无果,https://image.cvh.ac.cn/files/l/PE/00020835.jpg,,,,,,,,,, +,Sorbus kiukiangensis,"Yü, Tse-tsun",19710,6-Aug-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00010865.jpg,,,,,,,,,, +兰坪花楸,Sorbus lanpingensis,北京所横断山队,1013,19810622,云南省,3200,铁杉林带内 林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00934279.jpg,,,,,,,,,, +,Sorbus monbeigii,Monbeig,,8-Jun,,,,,,https://image.cvh.ac.cn/files/l/P/P02143356.jpg,,,,,,,,,, +维西花楸,Sorbus monbeigii,彭华课题组,H-滇兰坪-Z1318,20100730,云南省,3650,林缘,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1204374.jpg,,,,,,,,,, +维西花楸,Sorbus monbeigii,王明川,YD260622-455,20140622,贵州,,路旁,灌木,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0000795.jpg,,,,,,,,,, +少齿花楸,Sorbus oligodonta,王辰,LZ003,20120707,西藏省,3600,,,,https://image.cvh.ac.cn/files/l/BNU/0014079.jpg,,,,,,,,,, +少齿花楸,Sorbus oligodonta,Joseph F. Rock,23015,May-32,云南; YUNNAN,"11,0",,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00074443.jpg,,,,,,,,,, +少齿花楸,Sorbus oligodonta,"刘杰, 罗亚皇, 刘基男, 谭少林",YMT3800-1-2003B,20130730,云南,3801,冷杉-川滇高山栎-杜鹃林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1455168.jpg,,,,,,,,,, +灰叶花楸,Sorbus pallescens,武素功,,19590615,四川,2900,山坡阳处,直立乔木,无花无果,https://image.cvh.ac.cn/files/l/SM/SM707006684.jpg,,,,,,,,,, +灰叶花楸,Sorbus pallescens,George Forrest,25968,19241100,,3333~3667,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01515811.jpg,,,,,,,,,, +灰叶花楸,Sorbus pallescens,G.Forrest,5547,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01515760.jpg,,,,,,,,,, +铺地花楸,Sorbus reducta,J.F. Rock,16454,28-Jun,四川; SZECHWAN,3650,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00074474.jpg,,,,,,,,,, +铺地花楸,Sorbus reducta,康字,,19800813,四川,,高山灌木林,小灌木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM707006729.jpg,,,,,,,,,, +铺地花楸,Sorbus reducta,陈琳,129,20020704,贵州省,800~1000,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0010261.jpg,,,,,,,,,, +怒江花楸,Sorbus salwinensis,青藏队,9784,19820830,云南省,2500,山脊杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01172076.jpg,,,,,,,,,, +,Sorbus salwinensis,H. T. Tsai,54452,1933/10/17,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00112662.jpg,,,,,,,,,, +怒江花楸,Sorbus salwinensis,南水北调(滇西北),10024,19600530,云南,3100,山谷针阔叶林下,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0668294.jpg,,,,,,,,,, +尾叶花楸,Sorbus subochracea,青藏队,74-4954,19740830,西藏自治区,2200,河边杂木林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00934287.jpg,,,,,,,,,, +川滇花楸,Sorbus vilmorinii,T.N. Liou,P.C.Tsoong  ,,1935/07/,甘肃省,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0067740.jpg,,,,,,,,,, +川滇花楸,Sorbus vilmorinii,"张红良, 木栅, 李玉瑛, 张贵良, 张绪岗",15PX404,20150917,云南,,高山栎阔叶林林下,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395190.jpg,,,,,,,,,, +川滇花楸,Sorbus vilmorinii,,790138,19790000,西藏,3100,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00026739.jpg,,,,,,,,,, +察隅花楸,Sorbus zayuensis,青藏队,314,19730622,西藏自治区,3600,山坡高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00978728.jpg,,,,,,,,,, +柱序绢毛苣,Soroseris teres,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1984,20130823,西藏自治区,4000,低矮杜鹃灌丛和草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992917.jpg,,,,,,,,,, +柱序绢毛苣,Soroseris teres,姜恕等,2110,19590720,四川省,4150,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00519902.jpg,,,,,,,,,, +,Soroseris teres,,,,,,,,,,,,,,,,,,, +密集黑三棱,Sparganium confertum,俞德浚,20343,19380917,云南省,3100,In alpine swamp,herb aquetic,无花有果,https://image.cvh.ac.cn/files/l/PE/00008314.jpg,,,,,,,,,, +穗状黑三棱,Sparganium confertum,蔡杰、郭云刚、张凤琼、李梅娟、李昌洪,14CS9725,20141107,云南,3019,高山水塘,水生草本,,https://image.cvh.ac.cn/files/l/KUN/1392904.jpg,,,,,,,,,, +曲轴黑三棱,Sparganium fallax,贺贤育,27992,19570911,浙江省,922,路旁沼泽地中湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/01445284.jpg,,,,,,,,,, +曲轴黑三棱,Sparganium fallax,李恒,Jan-70,19810600,云南省,3200,浅水沼泽中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01445287.jpg,,,,,,,,,, +曲轴黑三棱,Sparganium fallax,李振宇,10869,19780603,福建省,1300,生高山池沼中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01445286.jpg,,,,,,,,,, +短序黑三棱,Sparganium glomeratum,刘慎谔等,7165,19560712,黑龙江省,,中甸子水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766733.jpg,,,,,,,,,, +短序黑三棱,Sparganium glomeratum,刘波,于珊珊,田雪,JIANG-M-0091,20130910,内蒙古,500,淡水中,,无花有果,https://image.cvh.ac.cn/files/l/IGA/IGA0009559.jpg,,,,,,,,,, +短序黑三棱,Sparganium glomeratum,北京植物所横断山队,1738,19810720,云南省,3100,亚高山沼泽中优势种(面积小),,有花有果,https://image.cvh.ac.cn/files/l/PE/02049182.jpg,,,,,,,,,, +沼生黑三棱,Sparganium limosum,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T268,20160917,西藏自治区,1594,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02233093.jpg,,,,,,,,,, +沼生黑三棱,Sparganium limosum,T.T.Yu,19197,19380626,云南省,1750,Margin of swamp,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00008299.jpg,,,,,,,,,, +黑三棱,Sparganium stoloniferum,刀志灵;刘德团;郭世伟;张品;杨佳俊;陶丽丹;杨丰懋,KIBDZL20602B05,20190722,云南,2660,,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1560935.jpg,,,,,,,,,, +黑三棱,Sparganium stoloniferum,P.Licent S.J.,9318,19271002,天津市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00008308.jpg,,,,,,,,,, +黑三棱,Sparganium stoloniferum,"关克俭,陈艺林",1988,19590909,山西省,1320,水中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01445373.jpg,,,,,,,,,, +云南黑三棱,Sparganium yunnanense,"李渤生,程树志,倪志诚",3713,19830521,西藏自治区,1690,沼泽深小叶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01445469.jpg,,,,,,,,,, +云南黑三棱,Sparganium yunnanense,王启无,73555,19360500,云南省,1530,in water,herb,有花有果,https://image.cvh.ac.cn/files/l/PE/00008319.jpg,,,,,,,,,, +云南黑三棱,Sparganium yunnanense,C.W.Wang,73555,19360500,云南省 ,0~1530,,Herb,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0637558.jpg,,,,,,,,,, +,Spathoglottis arunachalensis,,,,,,,,,,,,,,,,,,, +少花苞舌兰,Spathoglottis ixioides,"于胜祥,侯元同,张晓霞",5649,20110818,西藏自治区,,沿途路旁山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033205.jpg,,,,,,,,,, +少花苞舌兰,Spathoglottis ixioides,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201499,20200805,西藏,2744,岩壁上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509359.jpg,,,,,,,,,, +紫花苞舌兰,Spathoglottis plicata,PE-BO Team,PE-BO 3503,20151014,,2500,evergreen boradleaf forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113060.jpg,,,,,,,,,, +紫花苞舌兰,Spathoglottis plicata,李沛琼,11438,20030128,广东省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00058684.jpg,,,,,,,,,, +紫花苞舌兰,Spathoglottis plicata,H. H. Chung,817,192211,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/003713.jpg,,,,,,,,,, +苞舌兰,Spathoglottis pubescens,萧百中,4698,20050910,湖南省,650,山腰 红壤 光:阴 湿度:湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/01451926.jpg,,,,,,,,,, +苞舌兰,Spathoglottis pubescens,"蔡杰, 秦少发",15CS11340,20150922,云南,1335,山坡箐沟,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1447478.jpg,,,,,,,,,, +苞舌兰,Spathoglottis pubescens,邓良,7226,1958/8/26,广东,1400,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0192520.jpg,,,,,,,,,, +竹叶吉祥草,Spatholirion longifolium,"熊济华,周子林",93185,19570831,重庆市,1250,林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00779436.jpg,,,,,,,,,, +竹叶吉祥草,Spatholirion longifolium,兴安县普查队,450325131029005LY ,20131029,广西,1017,灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0110408.jpg,,,,,,,,,, +竹叶吉祥草,Spatholirion longifolium,刘林翰,11394,19740708,河南省,900,山地密林肥土湿土,,有花无果,https://image.cvh.ac.cn/files/l/KUN/232216.jpg,,,,,,,,,, +马蹄黄,Spenceria ramalana,J.F. Rock,4496,22-Jun,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00077198.jpg,,,,,,,,,, +马蹄黄,Spenceria ramalana,陈家瑞,92401,19920930,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834303.jpg,,,,,,,,,, +,Spenceria ramalana,森林系,40,19490500,河北,4200~4300,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00017392.jpg,,,,,,,,,, +白桫椤,Sphaeropteris brunoniana,张挺、刘成、蔡磊,14CS9558,20141217,云南,1294,次生林缘沟边,乔木,,https://image.cvh.ac.cn/files/l/KUN/1399417.jpg,,,,,,,,,, +,Sphaeropteris brunoniana,"严岳鸿,秦新生",4679,20071025,海南省,250,林下,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01769400.jpg,,,,,,,,,, +白桫椤,Sphaeropteris brunoniana,十万大山采集队,3246,20100720,广西壮族自治区,620,山坡,沟谷,罕见,乔木,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00398947.jpg,,,,,,,,,, +西藏螺序草,Spiradiclis xizangensis,"李渤生,倪志诚,程树志",3674,19830520,西藏自治区,1800~2100,常绿阔叶林下时见草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537457.jpg,,,,,,,,,, +西藏螺序草,Spiradiclis xizangensis,王正伟,WZW08728,20151108,西藏,1569,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0110026.jpg,,,,,,,,,, +石灰岩绣线菊,Spiraea calcicola,J.Rock,17188,19280500,云南省 ,3400,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0360163.jpg,,,,,,,,,, +石灰岩绣线菊,Spiraea calcicola,,187,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00372766.jpg,,,,,,,,,, +石灰岩绣线菊,Spiraea calcicola,Forrest,5730,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00073412.jpg,,,,,,,,,, +稻城绣线菊,Spiraea daochengensis,青藏队横断山,5947,19810901,四川省,3800,山坡云杉林 高山栎林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00934303.jpg,,,,,,,,,, +丽江绣线菊,Spiraea lichiangensis,罗亚皇,YMT3500-2-2015,20140527,云南,3544,川滇高山栎-杜鹃林,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454332.jpg,,,,,,,,,, +丽江绣线菊,Spiraea lichiangensis,George Forrest,23591,19230800,云南省,3333,On ledge of cliffs in side valleys,,有花无果,https://image.cvh.ac.cn/files/l/PE/01453592.jpg,,,,,,,,,, +丽江绣线菊,Spiraea lichiangensis,Forrest,21165,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00073521.jpg,,,,,,,,,, +裂叶绣线菊,Spiraea lobulata,PE西藏队,PE5714,20170903,西藏自治区,1683~2900,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309964.jpg,,,,,,,,,, +裂叶绣线菊,Spiraea lobulata,"张大才, 李双智, 唐路, 孙琼琼",ZhangDC-07ZX-1732,20090924,西藏,,云南松林下,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1318128.jpg,,,,,,,,,, +木里绣线菊,Spiraea muliensis,应俊生,4102,19600621,四川省,2700,山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00020876.jpg,,,,,,,,,, +乳突绣线菊,Spiraea papillosa,李爱萍,851930,19850626,山西省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/SXU/SD00012368.jpg,,,,,,,,,, +云南乳突绣线菊,Spiraea papillosa,四川大学生物系,10380,19580528,四川省,1920,山顶上林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01453899.jpg,,,,,,,,,, +云南乳突绣线菊,Spiraea papillosa,秦仁昌,23967,19290823,云南省,3300,杂木林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00020882.jpg,,,,,,,,,, +紫花绣线菊,Spiraea purpurea,"唐宇丹,林秦文",2010-072,20100916,西藏自治区,3205,南北向沟谷 瀑布边 沙土与腐殖土混,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036565.jpg,,,,,,,,,, +,Spiraea purpurea,"Forrest, George",12009,13-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00072319.jpg,,,,,,,,,, +绣线菊属,Spiraea purpurea,倪志诚 汪永泽 次多等,1484,19800906,西藏,4000,山坡灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0002841.jpg,,,,,,,,,, +干地绣线菊,Spiraea siccanea,,s.n.,19091102,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00703471.jpg,,,,,,,,,, +干地绣线菊,Spiraea siccanea,H.T.Tsai,56222,19331012,云南省,2800,in ravine,,无花有果,https://image.cvh.ac.cn/files/l/PE/00703469.jpg,,,,,,,,,, +,Spiraea siccanea,,0,19201103,安徽,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0035395.jpg,,,,,,,,,, +绒毛绣线菊,Spiraea velutina,青藏队,7507,19820625,云南省,3200,山坡 Tsusa林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01438357.jpg,,,,,,,,,, +,Spiraea velutina,J. M. Delavay,3735,1885-6-20,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00033513.jpg,,,,,,,,,, +绒毛绣线菊,Spiraea velutina,青藏队,11459,19830625,四川省,2700,山坡常绿阔叶林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01438353.jpg,,,,,,,,,, +西藏绣线菊,Spiraea xizangensis,鞠文彬,杨焰,THP-KD-5209,20170804,四川,4040,草地灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242151.jpg,,,,,,,,,, +云南绣线菊,Spiraea yunnanensis,高信芬、余奇、郑臣臣、黎怀诚,THP-KD-0791,20170607,四川,2220-2702,,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242158.jpg,,,,,,,,,, +曲枝云南绣线菊,Spiraea yunnanensis,Wilson Forrest No. 16410,2764,,"云南、四川; YUNNAN, SZECH",,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00073608.jpg,,,,,,,,,, +云南绣线菊,Spiraea yunnanensis,,21465,19300624,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01683618.jpg,,,,,,,,,, +,Spiranthes flexuosa,,,,,,,,,,,,,,,,,,, +绶草,Spiranthes sinensis,"朱有昌,巴拉诺夫,赵大昌",289,19500812,黑龙江省,,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00804684.jpg,,,,,,,,,, +绶草,Spiranthes sinensis,"陈耀东,马欣堂",1176,19850718,江西省,2100,黄岗山 沼泽中 水中生长,,有花有果,https://image.cvh.ac.cn/files/l/PE/01780326.jpg,,,,,,,,,, +绶草,Spiranthes sinensis,Wen-Yu Wang,507,20110411,台湾省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02065630.jpg,,,,,,,,,, +紫萍,Spirodela polyrhiza,Licent,751,191408,天津市,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00047176.jpg,,,,,,,,,, +,Spirodela polyrhiza,,140,19590625,安徽省,,池塘内,,有花有果,https://image.cvh.ac.cn/files/l/PE/01704474.jpg,,,,,,,,,, +,Spirodela polyrhiza,岛津制作所标本部,345,19051007,京都,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0051669.jpg,,,,,,,,,, +土田七,Stahlianthus involucratus,何海文,杨锦超,YangXF0389,20130717,广西,603,北热带半常绿季雨林、湿润雨林地带路边,草本,,https://image.cvh.ac.cn/files/l/KUN/1391009.jpg,,,,,,,,,, +土田七,Stahlianthus involucratus,,3778,19610505,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00075629.jpg,,,,,,,,,, +土田七,Stahlianthus involucratus,肖嘉,89948,1956.10.13.,广东,215,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005286.jpg,,,,,,,,,, +,Stellaria arenarioides,,,,,,,,,,,,,,,,,,, +,Stellaria delavayi,,,,,,,,,,,,,,,,,,, +,Stellaria dianthifolia,,,,,,,,,,,,,,,,,,, +,Stellaria gyirongensis,,,,,,,,,,,,,,,,,,, +,Stellaria lanipes,,,,,,,,,,,,,,,,,,, +,Stellaria mainlingensis,,,,,,,,,,,,,,,,,,, +,Stellaria oxycoccoides,,,,,,,,,,,,,,,,,,, +,Stellaria petiolaris,,,,,,,,,,,,,,,,,,, +,Stellaria pilosoides,,,,,,,,,,,,,,,,,,, +,Stellaria pusilla,,,,,,,,,,,,,,,,,,, +,Stellaria souliei,,,,,,,,,,,,,,,,,,, +,Stellaria tibetica,,,,,,,,,,,,,,,,,,, +,Stellaria uda,,,,,,,,,,,,,,,,,,, +,Stellaria zangnanensis,,,,,,,,,,,,,,,,,,, +大百部,Stemona tuberosa,中苏队,6098,19550403,云南省 ,0~1600,,草本、藤本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0629334.jpg,,,,,,,,,, +大百部,Stemona tuberosa,,145,19590817,四川,,潮湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM722100001.jpg,,,,,,,,,, +大百部,Stemona tuberosa,丰都队,500230-002-0184-01,20130523,重庆,560,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0052399.jpg,,,,,,,,,, +光叶藤蕨,Stenochlaena palustris,"严岳鸿,秦新生",4607,20071022,海南省,50,桉树林下林缘,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01766166.jpg,,,,,,,,,, +光叶藤蕨,Stenochlaena palustris,Kostermans & Soeaena,411,19660818,,50,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01687558.jpg,,,,,,,,,, +全叶细莴苣,Stenoseris tenuis,"陈又生,张树仁,于胜祥,卫然",619,20111017,西藏自治区,3557,山谷林缘灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992898.jpg,,,,,,,,,, +单蕊冠毛草,Stephanachne monandra,青藏队植被组,12435,19760901,西藏自治区,4800,湖边山坡时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00639878.jpg,,,,,,,,,, +,Stephania brevipedunculata,,,,,,,,,,,,,,,,,,, +,Stereochilus arunachalensis,,,,,,,,,,,,,,,,,,, +,Stereochilus hirtus,,,,,,,,,,,,,,,,,,, +肉药兰,Stereosandra javanica,孙洪范,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01721142.jpg,,,,,,,,,, +肉药兰,Stereosandra javanica,高天岗,1397,19980603,云南省,1200,思茅松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00805962.jpg,,,,,,,,,, +,Stereosandra javanica,李剑武,3193,20130609,云南,950,常绿阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028379.jpg,,,,,,,,,, +,Steudnera assamica,,,,,,,,,,,,,,,,,,, +,Steudnera capitellata,,,,,,,,,,,,,,,,,,, +,Steudnera discolor,,,,,,,,,,,,,,,,,,, +全缘泉七,Steudnera griffithii,中苏云南联合考察团,485,19560416,云南省,300~500,阳处路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01437059.jpg,,,,,,,,,, +全缘泉七,Steudnera griffithii,陈少卿,12598,19570614,广西壮族自治区,0~740,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0637456.jpg,,,,,,,,,, +全缘泉七,Steudnera griffithii,税玉民,喻智勇,何疆海,杨治国,丁博,田祥宇,李怀春等,94533,20120505,云南,592,林下,草本,,https://image.cvh.ac.cn/files/l/KUN/1392899.jpg,,,,,,,,,, +,Stewartia medogensis,青藏队,5094,19740911,西藏自治区,1530,山坡 阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00877411.jpg,,,,,,,,,, +异针茅,Stipa aliena,刘冰,249,20060730,内蒙古自治区,1300,沙化典型草原,,无花无果,https://image.cvh.ac.cn/files/l/PE/01904779.jpg,,,,,,,,,, +异针茅,Stipa aliena,刘全儒,HLS205,2005/7/22,内蒙古,2800~3000,,,,https://image.cvh.ac.cn/files/l/BNU/009289.jpg,,,,,,,,,, +异针茅,Stipa aliena,林有润,74589,1974-07-,新疆省,2580,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0108094.jpg,,,,,,,,,, +竹叶子,Streptolirion volubile,Jung-Hyun Kim,KIMJH14-00016,20140820,,128,road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/02307965.jpg,,,,,,,,,, +竹叶子,Streptolirion volubile,张挺、王文治、丰艳飞,12CS4182,20120802,云南,2458,林间灌丛,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1390657.jpg,,,,,,,,,, +竹叶子,Streptolirion volubile,平乐县普查队,450330170725092LY,20170725,广西,,阔叶林,林下,石灰土,少野生,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00413500.jpg,,,,,,,,,, +红毛竹叶子,Streptolirion volubile subsp. khasianum,"S.K.Wu,Y.M.Shui,Y.P.Yang etc.",52,19951015,云南省,1700~1900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02237766.jpg,,,,,,,,,, +红毛竹叶子,Streptolirion volubile subsp. khasianum,生态室高原组,11292,19800725,西藏自治区,900,沟边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01376770.jpg,,,,,,,,,, +红毛竹叶子,Streptolirion volubile subsp. khasianum,安顺队,1192,19590907,贵州省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00779909.jpg,,,,,,,,,, +丝梗扭柄花,Streptopus koreanus,PE-NIBR Changbaishan Exped.,229-1,20140610,吉林省,1681,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02037704.jpg,,,,,,,,,, +丝梗扭柄花,Streptopus koreanus,王薇等,1546,19590912,辽宁省,,山坡杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00592140.jpg,,,,,,,,,, +丝梗扭柄花,Streptopus koreanus,邱莲卿,4501,1965/7/7,吉林,1700,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0312065.jpg,,,,,,,,,, +,Streptopus parviflorus,,,,,,,,,,,,,,,,,,, +腋花扭柄花,Streptopus simplex,张廷,蔡杰,袁明等,09CS1588,20090924,西藏,3864,林中,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391668.jpg,,,,,,,,,, +腋花扭柄花,Streptopus simplex,王清泉,22452,1980/6/20,四川,2000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0437121.jpg,,,,,,,,,, +腋花扭柄花,Streptopus simplex,,23381,19590901,云南省,3400,山坡云杉林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01867501.jpg,,,,,,,,,, +,Strobilanthes cyphantha,中越考察队,1210,19650108,山西省,800,次生林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01544385.jpg,,,,,,,,,, +,Strobilanthes cyphantha,曲桂齡,3137,19360000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620947.jpg,,,,,,,,,, +,Strobilanthes cyphantha,"Forrest, George",4549,6-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00047309.jpg,,,,,,,,,, +合页草,Strobilanthes kingdonii,H.T.Tsai,58909,19341023,云南省 ,0~2000,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0561836.jpg,,,,,,,,,, +,Strobilanthes kingdonii,H.T.Tsai,56229,19331013,云南省,2800,In ravine,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620664.jpg,,,,,,,,,, +,Strobilanthes kingdonii,"程树志,李渤生",1767,19821100,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01544473.jpg,,,,,,,,,, +,Strobilanthes medogensis,"李渤生,程树志",814,19820911,西藏自治区,2450,常绿阔叶林下一层草木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620876.jpg,,,,,,,,,, +,Strobilanthes medogensis,"Ludlow, Francis & Sherriff, George",2336,10-Jul-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00133439.jpg,,,,,,,,,, +,Strobilanthes nemorosa,刘恩德等,2718,20100814,云南省 ,3104,"Streamside, in thickets",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1217468.jpg,,,,,,,,,, +琴叶马蓝,Strobilanthes nemorosa,马云桐,田永生,侯廷府,刘恩德,13PXA012,20130618,云南,2971,,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1386106.jpg,,,,,,,,,, +,Strobilanthes nemorosa,Rev. P?¨re P. G. Farges,1408,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00094308.jpg,,,,,,,,,, +,Stuckenia filiformis,C.B.Hellquist,12127,19770703,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039337.jpg,,,,,,,,,, +丝叶眼子菜,Stuckenia filiformis,高信芬、朱章明、鞠文彬,14888,20110802,西藏自治区,3600,村边湿地水中,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0224860.jpg,,,,,,,,,, +丝叶眼子菜,Stuckenia filiformis,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,5-81,20180813,西藏,5077.1,湖岸湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0193529.jpg,,,,,,,,,, +长鞘菹草,Stuckenia pamirica,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,5-73,20180813,西藏,5077.1,湖岸湿地,草本,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0193521.jpg,,,,,,,,,, +篦齿眼子菜,Stuckenia pectinata,张重岭,459,20150830,内蒙古自治区,651,水泡,,无花无果,https://image.cvh.ac.cn/files/l/YAK/0002667.jpg,,,,,,,,,, +蓖齿眼子菜,Stuckenia pectinata,鞠文彬,李诗琦,代文台,邓璇,CIBJWB00210B007,20180806,四川,2643,,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1504264.jpg,,,,,,,,,, +篦齿眼子菜,Stuckenia pectinata,刘全儒、何毅、王丽华、黄春晓,HS033,20200726,河北,22m,湖岸边,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0054229.jpg,,,,,,,,,, +,Sunipia andersonii,金效华,10816,20110409,云南省,1500~1700,tropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033440.jpg,,,,,,,,,, +黄花大苞兰,Sunipia andersonii,李剑武,2743,20121029,云南,1800,山地雨林,附生草本,有花无果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028255.jpg,,,,,,,,,, +,Sunipia bicolor,金效华,8525,20061004,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825396.jpg,,,,,,,,,, +二色大苞兰,Sunipia bicolor,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11925,20161115,西藏,2001,林缘草地,附生植物,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445582.jpg,,,,,,,,,, +二色大苞兰,Sunipia bicolor,李剑武,2102,20120927,云南,1950,苔藓常绿阔叶林,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027971.jpg,,,,,,,,,, +,Sunipia candida,Xiaohua Jin,16107,20150718,云南省,1600,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233176.jpg,,,,,,,,,, +,Sunipia candida,Southeast Tibet Exp.Team,STET1880,20100801,西藏自治区,1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033099.jpg,,,,,,,,,, +白花大苞兰,Sunipia candida,喻智勇,JinPing116,20100605,云南,2107,山地,阔叶林,附生草本,,https://image.cvh.ac.cn/files/l/KUN/1394361.jpg,,,,,,,,,, +,Sunipia intermedia,Jin & Ting Zhang,88,20080515,云南省,2110,forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033438.jpg,,,,,,,,,, +,Sunipia intermedia,Southeast Tibet Exp.Team,SET-ET1284,20090905,西藏自治区,1500,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033100.jpg,,,,,,,,,, +少花大苞兰,Sunipia intermedia,李剑武,4195,20140905,云南,1750,常绿阔叶林,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028803.jpg,,,,,,,,,, +,Sunipia nepalensis,,,,,,,,,,,,,,,,,,, +大苞兰,Sunipia scariosa,韩周东,吴优,樊财毅,HZD20003,20200620,云南,1465,季风常绿阔叶林,附生植物,无花无果,https://image.cvh.ac.cn/files/l/KUN/1489467.jpg,,,,,,,,,, +,Sunipia scariosa,金效华,6956,20050502,云南省,1169,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033442.jpg,,,,,,,,,, +,Sunipia scariosa,覃海宁等,603025,20060603,广西壮族自治区,1300,石灰岩山顶,密林下中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01989198.jpg,,,,,,,,,, +,Swertia alba,,,,,,,,,,,,,,,,,,, +,Swertia calycina,,,,,,,,,,,,,,,,,,, +,Swertia conaensis,,,,,,,,,,,,,,,,,,, +,Swertia delavayi,,,,,,,,,,,,,,,,,,, +,Swertia divaricata,,,,,,,,,,,,,,,,,,, +,Swertia elata,,,,,,,,,,,,,,,,,,, +,Swertia endotricha,,,,,,,,,,,,,,,,,,, +,Swertia fasciculata,,,,,,,,,,,,,,,,,,, +,Swertia forrestii,,,,,,,,,,,,,,,,,,, +,Swertia franchetiana,,,,,,,,,,,,,,,,,,, +,Swertia gyacaensis,,,,,,,,,,,,,,,,,,, +,Swertia handeliana,,,,,,,,,,,,,,,,,,, +,Swertia mussoti,,,,,,,,,,,,,,,,,,, +,Swertia patula,,,,,,,,,,,,,,,,,,, +,Swertia pianmaensis,,,,,,,,,,,,,,,,,,, +,Swertia przewalskii,,,,,,,,,,,,,,,,,,, +,Swertia rotundiglandula,,,,,,,,,,,,,,,,,,, +,Swertia scapiformis,,,,,,,,,,,,,,,,,,, +,Swertia souliei,,,,,,,,,,,,,,,,,,, +,Swertia splendens,,,,,,,,,,,,,,,,,,, +,Swertia tenuis,,,,,,,,,,,,,,,,,,, +,Swertia tetraptera,,,,,,,,,,,,,,,,,,, +,Swertia tibetica,,,,,,,,,,,,,,,,,,, +,Swertia verticillifolia,,,,,,,,,,,,,,,,,,, +,Swertia zayuensis,,,,,,,,,,,,,,,,,,, +木核山矾,Symplocos xylopyrena,C.W.Wang,869920,19400216,云南省 ,1200,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0488795.jpg,,,,,,,,,, +木核山矾,Symplocos xylopyrena,陈少卿,16497,19580828,广西壮族自治区,0,山腰疏林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/80801.jpg,,,,,,,,,, +木核山矾,Symplocos xylopyrena,Pavlos Georgiadis,421,20110221,云南省,1875,Evergreen seasonal hardwood forest with some deciduous trees,,无花有果,https://image.cvh.ac.cn/files/l/PE/01917697.jpg,,,,,,,,,, +,Syncalathium chrysocephalum,康藏植物考察队,10-1279,20100804,西藏自治区,4600,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053087.jpg,,,,,,,,,, +,Syncalathium chrysocephalum,康藏植物考察队,10-0823,20100727,四川省,4630~4730,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917538.jpg,,,,,,,,,, +黄花合头菊,Syncalathium chrysocephalum,杨文光,DT7394,20190802,四川,3360,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1514686.jpg,,,,,,,,,, +盘状合头菊,Syncalathium disciforme,"张建文,杨斌,陈洪梁",Zh190,20130820,四川省,4220,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043050.jpg,,,,,,,,,, +,Syncalathium disciforme,,,,,,,,,,,,,,,,,,, +盘状合头菊,Syncalathium disciforme,H.B.G,1271,19300815,青海省,4400~4700,"steep slopes with mostly kobresia meadows,some lower slopes with potentilla scrub on soft blacvk soil Rocky slope near Peak",,有花有果,https://image.cvh.ac.cn/files/l/PE/00852725.jpg,,,,,,,,,, +合头菊,Syncalathium kawaguchii,刘尚武,350,19650809,青海省,4100,河滩沙地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235740.jpg,,,,,,,,,, +合头菊,Syncalathium kawaguchii,"张永田,郞楷永",2092,19650820,西藏,5400,山坡雪地草地石头上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830522.jpg,,,,,,,,,, +合头菊,Syncalathium kawaguchii,康藏植物考察队,10-1181,20100803,西藏自治区,4648,砂石坡,,,https://image.cvh.ac.cn/files/l/PE/02053732.jpg,,,,,,,,,, +,Syncalathium roseum,"D.E.Boufford,J.H.Chen,S.L.Kelley,J.Li,R.H.Ree,H.Su",32013,20040811,西藏自治区,4495,Stony slope above and below road,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1374667.jpg,,,,,,,,,, +康滇合头菊,Syncalathium souliei,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2451,20090920,西藏,4700,高山碎石坡,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1436854.jpg,,,,,,,,,, +,Syncalathium souliei,康藏植物考察队,10-1565,20100810,西藏自治区,4000,林缘草坡,,,https://image.cvh.ac.cn/files/l/PE/02053735.jpg,,,,,,,,,, +,Syncalathium souliei,"陈又生,王泽欢",9292,20090803,四川省,4300,土坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052585.jpg,,,,,,,,,, +,Synotis auriculata,"Ludlow, Frank: Sherriff, George & Taylor, George",6471,2-Nov-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00414049.jpg,,,,,,,,,, +木里合耳菊,Synotis muliensis,"覃海宁,张树仁,高天刚等",274,20010831,四川省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776381.jpg,,,,,,,,,, +耳柄合耳菊,Synotis otophylla,"陈又生,张树仁,于胜祥,卫然",516,20111114,西藏自治区,3787,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233548.jpg,,,,,,,,,, +耳柄合耳菊,Synotis otophylla,邓涛,70625030,20020625,湖南省,,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU21579.jpg,,,,,,,,,, +四川合耳菊,Synotis setchuanensis,"关克俭,王文采等",1280,19630802,四川省,3200,山谷沟边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01691932.jpg,,,,,,,,,, +四川合耳菊,Synotis setchuanensis,方震东,DMA-313Az,20030630,云南,3400,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008651.jpg,,,,,,,,,, +川西合耳菊,Synotis solidaginea,陈又生,9658,20090829,四川省,2890,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052590.jpg,,,,,,,,,, +川西合耳菊,Synotis solidaginea,陈又生,9694,20090901,云南省,2700~2900,山谷灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053371.jpg,,,,,,,,,, +川西合耳菊,Synotis solidaginea,康藏植物考察队,10-1783,20100813,西藏自治区,3680,干山坡,,,https://image.cvh.ac.cn/files/l/PE/02053755.jpg,,,,,,,,,, +黄白合耳菊,Synotis xantholeuca,陈又生,9725,20090904,云南省,2500,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052756.jpg,,,,,,,,,, +黄白合耳菊,Synotis xantholeuca,"郭永杰, 吴志坤, 吴兴, 王宇萍, 李志军",14CS9816,20141107,云南,,公路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375838.jpg,,,,,,,,,, +黄白合耳菊,Synotis xantholeuca,H.T. Tsai,59767,19331012,云南省 ,2900,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00092773.jpg,,,,,,,,,, +,Syringa mairei,,,,,,,,,,,,,,,,,,, +,Syringa pinetorum,,,,,,,,,,,,,,,,,,, +,Syringa sweginzowii,,,,,,,,,,,,,,,,,,, +,Syringa tibetica,,,,,,,,,,,,,,,,,,, +,Syringa tomentella,,,,,,,,,,,,,,,,,,, +,Syringa wardii,,,,,,,,,,,,,,,,,,, +,Syringa yunnanensis,,,,,,,,,,,,,,,,,,, +,Syzygium xizangense,,,,,,,,,,,,,,,,,,, +箭根薯,Tacca chantrieri,郭永杰,唐培洵,金永明,张娅婕,13CS7733,20130822,云南,1157,常绿阔叶林下岩石上,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1393526.jpg,,,,,,,,,, +箭根薯,Tacca chantrieri,吕惠珍、黄宝优、莫连兰、黄美荣,451023150529016LY,20150529,广西,,针阔混交林,林下,赤红壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0180845.jpg,,,,,,,,,, +箭根薯,Tacca chantrieri,"Vietnam-Highland,L.Averyanov et al.",5890,20000502,,450~550,secondary dry evergreen broad-leaved forest with remnants of primary elements along river slopes in shady steep stream slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239093.jpg,,,,,,,,,, +丝须蒟篛薯,Tacca integrifolia,236-6队,4360,19830313,云南省,600,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01790405.jpg,,,,,,,,,, +丝须蒟篛薯,Tacca integrifolia,R.E.Holttum,19947,19280302,,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/033907.jpg,,,,,,,,,, +丝须蒟篛薯,Tacca integrifolia,"藏东南考察队(金效华,刘冰,权旭等)",SET-ET1145,20090903,西藏自治区,728,along the forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239096.jpg,,,,,,,,,, +,Taeniophyllum arunachalense,,,,,,,,,,,,,,,,,,, +,Taeniophyllum crepidiforme,,,,,,,,,,,,,,,,,,, +,Taeniophyllum glandulosum,孙洪范,s.n.,,,2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01729828.jpg,,,,,,,,,, +,Taeniophyllum glandulosum,"左景烈,陈念勋",43969,19320928,海南省,2400,灌木上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01729827.jpg,,,,,,,,,, +,Taeniophyllum glandulosum,Xiaohua Jin,16084,20150716,云南省,800,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233143.jpg,,,,,,,,,, +,Taeniophyllum javanicum,,,,,,,,,,,,,,,,,,, +,Taeniophyllum retrospiculatum,,,,,,,,,,,,,,,,,,, +,Taeniophyllum stella,,,,,,,,,,,,,,,,,,, +,Taeniophyllum xizangense,,,,,,,,,,,,,,,,,,, +带唇兰,Tainia dunnii,罗毅波,563,20010518,湖南省,1700,山坡林下附生树干,,有花无果,https://image.cvh.ac.cn/files/l/PE/01681716.jpg,,,,,,,,,, +带唇兰,Tainia dunnii,李学根,200661,,,,,,无花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ051039.jpg,,,,,,,,,, +带唇兰,Tainia dunnii,高锡朋,55313,19330515,广东省,,在林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00804955.jpg,,,,,,,,,, +阔叶带唇兰,Tainia latifolia,Tsang W.T.,25216,1935/5/5,广东; KWANGTUNG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00027073.jpg,,,,,,,,,, +阔叶带唇兰,Tainia latifolia,大瑶山综考队,13951,19820406,广西壮族自治区,0~310,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0657750.jpg,,,,,,,,,, +阔叶带唇兰,Tainia latifolia,"Jin Xiaohua,Tu Yanli,Li Zhanghai etc.",T252,20160917,西藏自治区,1594,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233077.jpg,,,,,,,,,, +滇南带唇兰,Tainia minor,Jin Xiaohua,13615,20130322,云南省,1130~1200,subtropical evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02025139.jpg,,,,,,,,,, +滇南带唇兰,Tainia minor,李剑武,4051,20140611,云南,2000,常绿阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028732.jpg,,,,,,,,,, +滇南带唇兰,Tainia minor,青藏队,74-4410,19740820,西藏自治区,1750,山坡阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00851010.jpg,,,,,,,,,, +,Talauma hodgsonii,Shui Yu-min et al.,13801,20001024,云南省,300~700,in forests the valley nearby the second forests,,无花有果,https://image.cvh.ac.cn/files/l/PE/01852904.jpg,,,,,,,,,, +盖裂木,Talauma hodgsonii,刀志灵;蔡磊;杨静;张品;杨佳俊;姚刚;孙卫邦,KIBDZL047,20171009,西藏,713,路边坡上,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1561782.jpg,,,,,,,,,, +盖裂木,Talauma hodgsonii,张寿洲,10218,20020325,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00009423.jpg,,,,,,,,,, +大头蒲公英,Taraxacum calanthodium,黄河调查队,3008,19560909,陕西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/825385.jpg,,,,,,,,,, +,Taraxacum calanthodium,,10986,19330714,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00037430.jpg,,,,,,,,,, +蒲公英,Taraxacum calanthodium,彭玉兰、张君议、郑臣臣,THP-KD-4344,20170715,四川,3199-3808,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0240612.jpg,,,,,,,,,, +,Taraxacum centrasiaticum,,,,,,,,,,,,,,,,,,, +川西蒲公英,Taraxacum chionophilum,谢登峰、付筱,2029849,20190924,四川,3310,草地,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02029849.jpg,,,,,,,,,, +川西蒲公英,Taraxacum chionophilum,彭定一,47597,1983-5 3,四川省,970,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0149506.jpg,,,,,,,,,, +川西蒲公英,Taraxacum chionophilum,青藏队,1417,1981-6 2,云南省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0150764.jpg,,,,,,,,,, +丽江蒲公英,Taraxacum dasypodum,王启无,70898,19350700,云南省,2800,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589392.jpg,,,,,,,,,, +丽江蒲公英,Taraxacum dasypodum,谭少林,YLDP119C,20141016,云南,,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452147.jpg,,,,,,,,,, +,Taraxacum dasypodum,"Forrest, George",2080,6-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00015617.jpg,,,,,,,,,, +,Taraxacum forrestii,"Forrest, George",14424,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00015618.jpg,,,,,,,,,, +苍叶蒲公英,Taraxacum glaucophyllum,苟新京 刘有义,83-447,19830911,青海省,0~3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/106509.jpg,,,,,,,,,, +苍叶蒲公英,Taraxacum glaucophyllum,D.E. Boufford et al.,43403,20130903,云南省,3900~3940,"area partially destroyed by forest fire in 1990s,few old trees remaining,mostly young growth trees.These plants in semi-shaded openings around small patch of mature Abies forest",,有花无果,https://image.cvh.ac.cn/files/l/PE/01911383.jpg,,,,,,,,,, +苍叶蒲公英,Taraxacum glaucophyllum,陈又生,7183,20070726,四川省,4000,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670529.jpg,,,,,,,,,, +反苞蒲公英,Taraxacum grypodon,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20409,20200616,西藏,3633,路边荒地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507622.jpg,,,,,,,,,, +反苞蒲公英,Taraxacum grypodon,"李渤生,程树志",5435,19830712,西藏自治区,2950,灌丛下时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067823.jpg,,,,,,,,,, +反苞蒲公英,Taraxacum grypodon,"傅德志,陈淑荣,邵毅贞等",1509,20140421,四川省,1300~1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021087.jpg,,,,,,,,,, +多毛蒲公英,Taraxacum lanigerum,T.T.Yu,12217,19370717,云南省,3500,Road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589395.jpg,,,,,,,,,, +多毛蒲公英,Taraxacum lanigerum,吴玉虎,391,19780719,青海省,0~4300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/110623.jpg,,,,,,,,,, +多毛蒲公英,Taraxacum lanigerum,西藏中草药普查队,686,19720628,西藏自治区,0~4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/29770.jpg,,,,,,,,,, +,Taraxacum ludlowii,,,,,,,,,,,,,,,,,,, +川甘蒲公英,Taraxacum lugubre,,75,19550917,,3250,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01772123.jpg,,,,,,,,,, +川甘蒲公英,Taraxacum lugubre,不祥,564,19640722,青海省,0~4500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/003293.jpg,,,,,,,,,, +川甘蒲公英,Taraxacum lugubre,陈晓澄、肖洒等人,9839,20160809,青海,4562,流石滩砾石沟下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00020290.jpg,,,,,,,,,, +,Taraxacum maurocarpum,彭玉兰、涂卫国、幸福,Gaoxf0054,20080714,四川,4300,高山草矮灌丛甸,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0204480.jpg,,,,,,,,,, +灰果蒲公英,Taraxacum maurocarpum,谭仲明,93-133,19930717,四川省,,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01691842.jpg,,,,,,,,,, +,Taraxacum maurocarpum,齐威,LJQ-2008-GN-103,20081006,甘肃省,3152,亚高寒草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1374865.jpg,,,,,,,,,, +策勒蒲公英,Taraxacum qirae,青藏队吴玉虎,1201,19870826,新疆维吾尔自治区,0~5160,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/146299.jpg,,,,,,,,,, +角苞蒲公英,Taraxacum stenoceras,T.H.Ting,s.n.,19300800,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689176.jpg,,,,,,,,,, +角苞蒲公英,Taraxacum stenoceras,K.M.Liou,L.5986,19360723,青海省,1930,bords des rivieres herbeux,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689175.jpg,,,,,,,,,, +角苞蒲公英,Taraxacum stenoceras,白龙江考察队,1587,19990601,甘肃省,3300,河谷 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01556235.jpg,,,,,,,,,, +滇北蒲公英,Taraxacum suberiopodum,G.Forrest,6320,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589424.jpg,,,,,,,,,, +滇北蒲公英,Taraxacum suberiopodum,王启无,66027,19350800,西藏自治区,3800,N-slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589425.jpg,,,,,,,,,, +滇北蒲公英,Taraxacum suberiopodum,T.T.Yu,5665,19370523,四川省,3200,Mt.slope grassy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589423.jpg,,,,,,,,,, +,Taxus contorta,"张挺, 刘成, 亚吉东",18CS17627,20180913,西藏,2662,乔松林下,乔木,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1483682.jpg,,,,,,,,,, +南方红豆杉,Taxus wallichiana,广福林区队,1203,1955-12-,广西; Guangxi,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00000540.jpg,,,,,,,,,, +南方红豆杉,Taxus wallichiana,赵万义,刘忠成,叶矾,王晓阳,潘嘉文,LXP-13-12082,20150530,江西省赣州市,,山谷、壤土、疏林、溪边,陆生、乔木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00177767.jpg,,,,,,,,,, +,Taxus wallichiana,"Tang, S.I.",420,,福建; Fujian,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00000512.jpg,,,,,,,,,, +大齿叉蕨,Tectaria coadunata,吴磊 周辉 罗金龙,5373,20160518,湖南省,650,山谷密林,直立草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSFI/CSFI056638.jpg,,,,,,,,,, +大齿叉蕨,Tectaria coadunata,北京队,894761,19890601,广西壮族自治区,400,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02020073.jpg,,,,,,,,,, +大齿叉蕨,Tectaria coadunata,魏奇,王凡红,公艳芬,FB-321,20130807,云南,1026,,,,https://image.cvh.ac.cn/files/l/KUN/1406199.jpg,,,,,,,,,, +下延叉蕨,Tectaria decurrens,Y.Saiki,s.n.,19750310,,100,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01729796.jpg,,,,,,,,,, +下延叉蕨,Tectaria decurrens,王金英,林泽彬,WJY0640,20190730,福建,43~201.3,栽植,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/XMBG/XMBG0009312.jpg,,,,,,,,,, +下延叉蕨,Tectaria decurrens,周喜乐、舒江平、肖艳,ZXL06859,20160330,海南,199,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0118779.jpg,,,,,,,,,, +大叶叉蕨,Tectaria dubia,武素功,4022,19620820,云南省,1500,山沟季雨林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01454536.jpg,,,,,,,,,, +大叶叉蕨,Tectaria dubia,武素功,彭华等,T-V410,20020104,,,,,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1210081.jpg,,,,,,,,,, +,Tectaria griffithii,,,,,,,,,,,,,,,,,,, +,Tectaria ingens,,,,,,,,,,,,,,,,,,, +多形叉蕨,Tectaria polymorpha,周喜乐、严岳鸿、杜诚,ZXL09780,20141119,碧武里府,968,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0110321.jpg,,,,,,,,,, +多形叉蕨,Tectaria polymorpha,红水河植物考察队,89-196,19890419,广西壮族自治区,550,干热山沟。杂木林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02020087.jpg,,,,,,,,,, +多形叉蕨,Tectaria polymorpha,严岳鸿、韦宏金、周喜乐、金冬梅,ZXL07284,20160912,西藏,,,草本,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0135078.jpg,,,,,,,,,, +,Tectaria vasta,"S.G.Wu,P.K.Loc,J.Y.Xiang etc.",1653,20061117,,115,heavily logged primary closed evergreen seasonal tropical broadleaved lowland forests on shaley mountains,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02110126.jpg,,,,,,,,,, +,Tectaria vasta,严岳鸿,3451,20061220,海南省,200,林下,,无孢子囊,https://image.cvh.ac.cn/files/l/PE/01762452.jpg,,,,,,,,,, +橙色狗舌草/红色狗舌草,Tephroseris rufa,刘全儒,,"星期五, 六月 06, 2008",北京,1900~2300,山坡草甸,,,https://image.cvh.ac.cn/files/l/BNU/002063.jpg,,,,,,,,,, +橙舌狗舌草,Tephroseris rufa,C.W.Wang,71457,1935/07/,云南,2700,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0037504.jpg,,,,,,,,,, +橙舌狗舌草,Tephroseris rufa,,6617,19220701,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00852681.jpg,,,,,,,,,, +角柄厚皮香,Ternstroemia biangulipes,"倪志诚,李渤生,程树志",3735,19830523,西藏自治区,1800,常绿阔叶林中常见乔木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074930.jpg,,,,,,,,,, +角柄厚皮香,Ternstroemia biangulipes,中苏队,1895,19560424,云南省,600,山顶,山坡,阳处,梁脊,路旁,,有花无果,https://image.cvh.ac.cn/files/l/KUN/452850.jpg,,,,,,,,,, +,Ternstroemia biangulipes,青藏队,2457,,西藏,,,,无花有果,https://image.cvh.ac.cn/files/l/SYS/SYS00095151.jpg,,,,,,,,,, +西藏崖爬藤,Tetrastigma xizangense,"李渤生,程树志",3982,19830408,西藏自治区,850,半常绿雨林中常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00689809.jpg,,,,,,,,,, +狭序唐松草,Thalictrum atriplex,Soulie,391,,西藏; Tibet,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00054283.jpg,,,,,,,,,, +狭序唐松草,Thalictrum atriplex,普查小组,520325160406395LY,20160406,贵州省,947.3,中生、阳性、中温、野生植物、草丛,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0032669.jpg,,,,,,,,,, +狭序唐松草,Thalictrum atriplex,T.N.Ho et al.,2594,19960828,青海省,3620,Valley with Picea likiangensis forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00447985.jpg,,,,,,,,,, +察隅唐松草,Thalictrum chayuense,"倪志诚,汪永泽,次多等",297,19800629,西藏自治区,2700,杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00470107.jpg,,,,,,,,,, +察隅唐松草,Thalictrum chayuense,S.S.Chien,5113,19220727,湖北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/091050298.jpg,,,,,,,,,, +唐松草属,Thalictrum chayuense,倪志诚 汪永泽 次多 次旦,297,19800629,西藏,2700,杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001664.jpg,,,,,,,,,, +堇花唐松草,Thalictrum diffusiflorum,PE西藏队,PE5643,20170901,西藏自治区,4556,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02293980.jpg,,,,,,,,,, +堇花唐松草,Thalictrum diffusiflorum,?,A87005,1987.7.5,新疆维吾尔自治区 ,4600,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00010831.jpg,,,,,,,,,, +堇花唐松草,Thalictrum diffusiflorum,?,A87005,198775,,4600,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20008884.jpg,,,,,,,,,, +滇川唐松草,Thalictrum finetii,何兴金,马祥光,张云香,杨丽娟,SCU-11-233,20110907,中国,3768,公路边山坡,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232949.jpg,,,,,,,,,, +滇川唐松草,Thalictrum finetii,北京所横断山队,3736,19810825,云南省,,云杉林下及林内草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821014.jpg,,,,,,,,,, +滇川唐松草,Thalictrum finetii,"王立东,何忠云等",ALSZY194,20091202,云南,2079,,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232946.jpg,,,,,,,,,, +纺锤唐松草,Thalictrum fusiforme,"倪志诚,汪永泽,次多等",837,19800726,西藏自治区,2200,河边杂木林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00471108.jpg,,,,,,,,,, +唐松草属,Thalictrum fusiforme,倪志诚 汪永泽 次多 次旦,837,19800726,西藏,2000,河边杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001700.jpg,,,,,,,,,, +大花唐松草,Thalictrum grandiflorum,"陈伟烈,陈家瑞,郭柯等",8775,19840804,甘肃省,1100~900,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046588.jpg,,,,,,,,,, +大花唐松草,Thalictrum grandiflorum,魏志平,2805,1958/10/10,甘肃 ,1000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0108063.jpg,,,,,,,,,, +大花唐松草,Thalictrum grandiflorum,Potanin,,,甘肃; KANSU,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00054281.jpg,,,,,,,,,, +白茎唐松草,Thalictrum leuconotum,何兴金,张云香,王志新,SCU-10-521,20100924,四川,2898,山坡灌草丛,,果标本,https://image.cvh.ac.cn/files/l/KUN/1233083.jpg,,,,,,,,,, +白茎唐松草,Thalictrum leuconotum,"杨亲二,袁琼",Yangqe1985,20080724,云南省,3300,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036070.jpg,,,,,,,,,, +,Thalictrum leuconotum,胡君、李丽、吴宏蓉、唐双磊、薛金瑞、党喜军,SC-a-107-B36,20190801,云南,2768,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273959.jpg,,,,,,,,,, +网脉唐松草,Thalictrum reticulatum,D.E.Boufford et al.,35251,20060725,云南省,2000~2100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01459329.jpg,,,,,,,,,, +,Thalictrum reticulatum,,10604,,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0003103.jpg,,,,,,,,,, +网脉唐松草,Thalictrum reticulatum,王新光,545,19590630,西藏自治区,0~4370,,草本,有花无果,https://image.cvh.ac.cn/files/l/N/091050280.jpg,,,,,,,,,, +鞭柱唐松草,Thalictrum smithii,何兴金,胡灏禹,黄德青等,SCU-10-121,20100913,四川,2570,路边,,果标本,https://image.cvh.ac.cn/files/l/KUN/1233157.jpg,,,,,,,,,, +鞭柱唐松草,Thalictrum smithii,青藏队,2962,19810719,云南省,2800,水沟边 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01108928.jpg,,,,,,,,,, +鞭柱唐松草,Thalictrum smithii,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM704604928.jpg,,,,,,,,,, +察瓦龙唐松草,Thalictrum tsawarungense,青藏补点,750500,19750704,西藏,3060,山谷潮地,草本,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00025019.jpg,,,,,,,,,, +,Thalictrum tsawarungense,C. W. Wang,66523,Sep-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00057586.jpg,,,,,,,,,, +察瓦龙唐松草,Thalictrum tsawarungense,689,66523,19350900,云南省,3000,"border of woods,dry slope",,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00070715.jpg,,,,,,,,,, +钩柱唐松草,Thalictrum uncatum,杨亲二,袁琼,YangQE1818,20080712,云南,3300,林下草丛,,果标本,https://image.cvh.ac.cn/files/l/KUN/1233180.jpg,,,,,,,,,, +钩柱唐松草,Thalictrum uncatum,候喜祥,637,1973-05-,陕西省,1800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0090618.jpg,,,,,,,,,, +钩柱唐松草,Thalictrum uncatum,张代贵,130726005,20130726,湖北神农架林区,,山地草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU31664.jpg,,,,,,,,,, +粘唐松草,Thalictrum viscosum,中甸队,1238,19620818,云南省,1810,河岸草丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00028288.jpg,,,,,,,,,, +,Thalictrum wangii,C. W. Wang,71546,Jul-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00038623.jpg,,,,,,,,,, +丽江唐松草,Thalictrum wangii,青藏队,73-230,19730620,西藏自治区,3100,山沟针阔混淆林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00450031.jpg,,,,,,,,,, +丽江唐松草,Thalictrum wangii,"谢磊,毛建丰",XM138,20020804,云南省,3300,山坡草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01569413.jpg,,,,,,,,,, +,Thelasis khasiana,Jin Xiaohua,14236,20140602,云南省,,under forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233178.jpg,,,,,,,,,, +,Thelasis longifolia,,,,,,,,,,,,,,,,,,, +矮柱兰,Thelasis pygmaea,刘心祈,26547,19360429,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00146755.jpg,,,,,,,,,, +矮柱兰,Thelasis pygmaea,胡启和,仇亚,周英,趙强,张绍云,YNS0704,20100110,云南,975,公路边,附生,,https://image.cvh.ac.cn/files/l/KUN/1394368.jpg,,,,,,,,,, +矮柱兰,Thelasis pygmaea,孟连调查队,9231,19730706,云南省,0~1000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0657780.jpg,,,,,,,,,, +菅草,Themeda minor,曾宪锋,ZXF22938,20161016,福建省,430,山地路旁,多年生直立草本,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0014866.jpg,,,,,,,,,, +,Themeda minor,青藏队,654,19730710,西藏自治区,2000,山坡云南松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615852.jpg,,,,,,,,,, +小菅草,Themeda minor,曾宪锋,ZXF00275,2003/11/26,广东省,,,,,https://image.cvh.ac.cn/files/l/CZH/CZH0000175.jpg,,,,,,,,,, +,Thermopsis smithiana,,,,,,,,,,,,,,,,,,, +夏须草,Theropogon pallidus,杨亲二,91001,19910701,云南省,2400,石灰地村牛头山村,,有花无果,https://image.cvh.ac.cn/files/l/PE/01948279.jpg,,,,,,,,,, +夏须草,Theropogon pallidus,青藏队植被组,6481,19750612,西藏自治区,1900,河边树阴下巨石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532677.jpg,,,,,,,,,, +夏须草,Theropogon pallidus,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201179,20200723,西藏,2183,河边石上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507000.jpg,,,,,,,,,, +,Thesium bomiense,"李渤生,倪志诚,程树志",6576,19830817,西藏自治区,3400,林绿灌丛草地中干旱石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114095.jpg,,,,,,,,,, +,Thesium jarmilae,"李渤生,李辉,阳艺",13935,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073247.jpg,,,,,,,,,, +长花百蕊草,Thesium longiflorum,,12248,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0382991.jpg,,,,,,,,,, +,Thesium longiflorum,彭玉兰、涂卫国、幸福,Gaoxf356,20080718,四川,3800,,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0203523.jpg,,,,,,,,,, +长花百蕊草,Thesium longiflorum,周立华 张盍曾,1442,19700714,甘肃省,2940,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/22685.jpg,,,,,,,,,, +,Thesium orgadophilum,,,,,,,,,,,,,,,,,,, +滇西百蕊草,Thesium ramosoides,,27148,19300600,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/067040262.jpg,,,,,,,,,, +滇西百蕊草,Thesium ramosoides,郭先林、任婷,2039436,20200711,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02039436.jpg,,,,,,,,,, +滇西百蕊草,Thesium ramosoides,俞德俊,8076,19290408,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0382997.jpg,,,,,,,,,, +,Thesium remotebracteatum,T.T.Yu,8444,19370604,云南省,2800,in ravine,,有花无果,https://image.cvh.ac.cn/files/l/PE/00890932.jpg,,,,,,,,,, +藏东百蕊草,Thesium tongolicum,吴征镒,5844,19760913,西藏自治区,0,流石滩,寄生小草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0565630.jpg,,,,,,,,,, +藏东百蕊草,Thesium tongolicum,郭先林、郑宏一,2038073,20200719,四川,4370,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02038073.jpg,,,,,,,,,, +,Thladiantha lijiangensis,,,,,,,,,,,,,,,,,,, +,Thladiantha longisepala,,,,,,,,,,,,,,,,,,, +,Thladiantha medogensis,,,,,,,,,,,,,,,,,,, +,Thladiantha setispina,,,,,,,,,,,,,,,,,,, +四川菥蓂,Thlaspi flagelliferum,黄治平等,1023,19300424,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01123078.jpg,,,,,,,,,, +四川菥蓂,Thlaspi flagelliferum,关克俭,370,19640000,四川,3150,潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0313070.jpg,,,,,,,,,, +云南菥蓂,Thlaspi yunnanense,昭普队,94,19790422,四川,1280,,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM705801072.jpg,,,,,,,,,, +,Thlaspi yunnanense,"Forrest, George",2130,6-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00083306.jpg,,,,,,,,,, +云南菥蓂,Thlaspi yunnanense,黔北队,1752,19590817,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/SHM/SHM0018029.jpg,,,,,,,,,, +白点兰,Thrixspermum centipeda,C.W.Wang,77026,19360600,云南省 ,0~1100,,On Tree Bark,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0657855.jpg,,,,,,,,,, +白点兰,Thrixspermum centipeda,华南生物多样性调查队 金效华,5293,20031021,海南省,500~700,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033318.jpg,,,,,,,,,, +白点兰,Thrixspermum centipeda,,,,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0657840.jpg,,,,,,,,,, +,Thrixspermum musciflorum,,,,,,,,,,,,,,,,,,, +,Thrixspermum pygmaeum,,,,,,,,,,,,,,,,,,, +,Thrixspermum saruwatarii,金效华,9001,20070520,云南省,1702,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825404.jpg,,,,,,,,,, +,Thrixspermum saruwatarii,金效华,9243,20071206,云南,1484,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825405.jpg,,,,,,,,,, +长轴白点兰,Thrixspermum saruwatarii,花坪综合考察队,H0434,20060416,广西壮族自治区,1100,"山地,山谷",草本,直立,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00228548.jpg,,,,,,,,,, +笋兰,Thunia alba,邓朝义,522301150820726LY,20150820,贵州省,1383,针阔叶混交林、中生、阳性、钙质土、中温,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0059919.jpg,,,,,,,,,, +笋兰,Thunia alba,A.Henry,11091,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0657860.jpg,,,,,,,,,, +笋兰,Thunia alba,邬文祥,10307,19990705,江苏省,,兰苑盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00585561.jpg,,,,,,,,,, +,Tibetia forrestii,,,,,,,,,,,,,,,,,,, +,Tibetia tongolensis,,,,,,,,,,,,,,,,,,, +,Tibetia yadongensis,,,,,,,,,,,,,,,,,,, +,Tibetia yunnanensis,,,,,,,,,,,,,,,,,,, +,Tilia callidonta,,,,,,,,,,,,,,,,,,, +,Tilia likiangensis,,,,,,,,,,,,,,,,,,, +短柄筒距兰,Tipularia josephi,"Jin Xiaohua,Jin Weitao,Xu Songzhi",13301,20120805,西藏自治区,3000,alpine conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032911.jpg,,,,,,,,,, +短柄筒距兰,Tipularia josephi,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00029063.jpg,,,,,,,,,, +短柄筒距兰,Tipularia josephii,"Jin Xiaohua,Jin Weitao,Xu Songzhi",13301,20120805,西藏自治区,3000,alpine conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02032911.jpg,,,,,,,,,, +短柄筒距兰,Tipularia josephii,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00029063.jpg,,,,,,,,,, +,Tipularia szechuanica,,,,,,,,,,,,,,,,,,, +筒距兰,Tipularia szechuanica,李馨,78139,19580720,云南省 ,3500,阴山林下,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00559764.jpg,,,,,,,,,, +筒距兰,Tipularia szechuanica,李馨,78139,1958/7/20,四川,3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0250968.jpg,,,,,,,,,, +叉柱岩菖蒲,Tofieldia divergens,刘成、亚吉东、付超男、莫明忠,15CS10044,20150417,云南,2466,河边潮湿岩石上,水生草本,,https://image.cvh.ac.cn/files/l/KUN/1392586.jpg,,,,,,,,,, +叉柱岩菖蒲,Tofieldia divergens,何兴金,高云东,王志新,余岩,SCU-09-271,20090825,四川,3715,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1392595.jpg,,,,,,,,,, +叉柱岩菖蒲,Tofieldia divergens,,14676,19830910,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01867468.jpg,,,,,,,,,, +,Tofieldia himalaica,,,,,,,,,,,,,,,,,,, +裂禾蕨,Tomophyllum donianum,商辉、顾钰峰,SG761,20141128,贵州省,,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0044288.jpg,,,,,,,,,, +裂禾蕨,Tomophyllum donianum,韦宏金,JSL6866,20190330,云南,~1589,附生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00432032.jpg,,,,,,,,,, +裂禾蕨,Tomophyllum donianum,韦宏金,JSL6983,20190408,西藏,~,附生,草本,有孢子囊,https://image.cvh.ac.cn/files/l/IBK/IBK00432088.jpg,,,,,,,,,, +大东俄芹,Tongoloa elata,孙学刚等,20010549,20010821,甘肃省,2400,沟谷柳灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01808940.jpg,,,,,,,,,, +,Tongoloa pauciradiata,俞德俊,1869,19330000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00931551.jpg,,,,,,,,,, +,Tongoloa rockii,ACE,1287,19940925,云南省,4675,In rocky areas and amongst screes,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755697.jpg,,,,,,,,,, +,Tongoloa rockii,"Rock, Joseph Francis Charles",9758,23-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00000521.jpg,,,,,,,,,, +红脉东俄芹,Tongoloa rubronervis,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191422,20190922,云南,3593,亚热带针阔混交林,草地上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484549.jpg,,,,,,,,,, +红脉东俄芹,Tongoloa rubronervis,温鸣章、曾万章等,83,Oct-82,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0101256.jpg,,,,,,,,,, +条叶东俄芹,Tongoloa taeniophylla,Ikeda,714093,20070817,甘肃,3920~4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00024688.jpg,,,,,,,,,, +条叶东俄芹,Tongoloa taeniophylla,周立华,2239,19700922,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/131532.jpg,,,,,,,,,, +条叶东俄芹,Tongoloa taeniophylla,俞德浚,9834,19370824,云南省,3900,山箐林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465993.jpg,,,,,,,,,, +细叶东俄芹,Tongoloa tenuifolia,青藏队植被组,9811,19760826,西藏自治区,4320,Rhododendnn 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755724.jpg,,,,,,,,,, +细叶东俄芹,Tongoloa tenuifolia,李馨,72244,19570822,四川省,3550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755721.jpg,,,,,,,,,, +细叶东俄芹,Tongoloa tenuifolia,杨光辉,59270,1958/8/24,重庆,1900,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0302054.jpg,,,,,,,,,, +,Torreya yunnanensis,"郭永杰, 王雨华, 杨立新, 李姗",18CS17139,20180511,西藏,1146,村边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487269.jpg,,,,,,,,,, +云南榧树,Torreya yunnanensis,李施文,张志云,段耀飞,杨柱天,李玉红,TC3006,20120904,云南,2500,溪谷,乔木,,https://image.cvh.ac.cn/files/l/KUN/1405479.jpg,,,,,,,,,, +云南榧树,Torreya yunnanensis,青藏队,6601,19820519,云南省,2300~2400,山坡 落叶阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01057247.jpg,,,,,,,,,, +,Trachoma rhopalorrhachis,,,,,,,,,,,,,,,,,,, +棕榈,Trachycarpus fortunei,田先华,冯星,田陌,TianXH622,20121027,陕西,905,山坡路旁灌丛中,乔木,,https://image.cvh.ac.cn/files/l/KUN/1393501.jpg,,,,,,,,,, +棕榈,Trachycarpus fortunei,杨祥学,830352,19830926,江西省,0,,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0639572.jpg,,,,,,,,,, +棕榈,Trachycarpus fortunei,刘林翰,1921,19580604,湖南省,1150,山地山谷路旁肥土阴闭度小,,无花有果,https://image.cvh.ac.cn/files/l/PE/01450201.jpg,,,,,,,,,, +,Trachycarpus takil,,,,,,,,,,,,,,,,,,, +裂苞瘤果芹,Trachydium involucellatum,青藏队,10626,19820926,西藏自治区,4500,山坡 草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01129830.jpg,,,,,,,,,, +裂苞瘤果芹,Trachydium involucellatum,冯国楣,6590,19400813,云南省,3800~3900,岩坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0466300.jpg,,,,,,,,,, +裂苞瘤果芹,Trachydium involucellatum,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,679,20120805,西藏,,灌丛下,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230530.jpg,,,,,,,,,, +,Trachydium simplicifolium,George Forrest,22195,1922,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU045416.jpg,,,,,,,,,, +单叶瘤果芹,Trachydium simplicifolium,George Forrest,27892,19290800,云南省,4000,Open stony meadows,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860133.jpg,,,,,,,,,, +单叶瘤果芹,Trachydium simplicifolium,,7559,19220000,云南省 ,4000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00064648.jpg,,,,,,,,,, +西藏瘤果芹,Trachydium tibetanicum,T.T.Yu,22654,19380903,云南省,4000,Mt.rocky place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00780117.jpg,,,,,,,,,, +西藏瘤果芹,Trachydium tibetanicum,吴征镒等,6141,19761001,四川省,4700,阳坡,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0466320.jpg,,,,,,,,,, +西藏瘤果芹,Trachydium tibetanicum,蔡希陶,58594,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0466307.jpg,,,,,,,,,, +,Trachydium trifoliatum,王启无,65870,19350800,西藏自治区,3500,"S-slope,Sandy,grassy",,有花无果,https://image.cvh.ac.cn/files/l/PE/00931515.jpg,,,,,,,,,, +,Trachydium trifoliatum,王启无,71789,19351000,云南省,3500,"Meadow,wind swept slope",,有花无果,https://image.cvh.ac.cn/files/l/PE/00931514.jpg,,,,,,,,,, +,Trachydium trifoliatum,"Forrest, George",25265,24-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00000298.jpg,,,,,,,,,, +马尔康糙果芹,Trachyspermum triradiatum,,75,,,,灌木林,,有花有果,https://image.cvh.ac.cn/files/l/SM/SM715006769.jpg,,,,,,,,,, +马尔康糙果芹,Trachyspermum triradiatum,石棉队,78-1012,,四川,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715006760.jpg,,,,,,,,,, +马尔康糙果芹,Trachyspermum triradiatum,青藏队,14581,19830909,四川省,2750,河谷 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01132095.jpg,,,,,,,,,, +,Trias disciflora,,,,,,,,,,,,,,,,,,, +,Tricarpelema giganteum,,,,,,,,,,,,,,,,,,, +,Tricarpelema glanduliferum,,,,,,,,,,,,,,,,,,, +,Tricarpelema xizangense,,,,,,,,,,,,,,,,,,, +双柱头针蔺,Trichophorum distigmaticum,"朱鑫鑫,安宇梦",ZXX18088,20180614,青海,3186,高原亚寒带高山草甸,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437661.jpg,,,,,,,,,, +,Trichophorum distigmaticum,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,sc-a-131-B27,20190819,四川,3950,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262040.jpg,,,,,,,,,, +,Trichophorum distigmaticum,"张永田,郞楷永",137,19650629,四川省,3650,山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01516762.jpg,,,,,,,,,, +,Trichophorum pumilum,中国科学院青甘调查队,12,19590527,青海省,2900,沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/01516773.jpg,,,,,,,,,, +,Trichophorum pumilum,田效文,1023,19830612,四川省,,高山草甸草场,,有花有果,https://image.cvh.ac.cn/files/l/PE/01516790.jpg,,,,,,,,,, +,Trichophorum pumilum,综孝,222,19570811,甘肃省,,黑河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01516769.jpg,,,,,,,,,, +,Trichotosia dasyphylla,Tsi Zhanhuo,91-231A,19910000,云南省,1600,in dense forest on the tree trunks,,无花无果,https://image.cvh.ac.cn/files/l/PE/01791168.jpg,,,,,,,,,, +,Trichotosia pulvinata,李剑武,1645,20120721,云南,680,河谷密林中树上附生,附生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027724.jpg,,,,,,,,,, +,Trichotosia velutina,,,,,,,,,,,,,,,,,,, +黄花油点草,Tricyrtis pilosa,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201063,20200720,西藏,2237,林下石坡上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506680.jpg,,,,,,,,,, +,Tricyrtis pilosa,岳俊三等,4032,19630920,江西省,700,路旁草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00565684.jpg,,,,,,,,,, +黄花油点草,Tricyrtis pilosa,沐先运 童玲 雷丰伟,4435,20180726,河北,,草地,草本,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00102374.jpg,,,,,,,,,, +海韭菜,Triglochin maritima,冯虎元,LiuJQ-08KLS-120,20080910,青海,4666,高寒草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390298.jpg,,,,,,,,,, +,Triglochin maritima,"郭永杰,亚吉东,苏勇",14CS9407,20140717,云南省,3296,五花草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321733.jpg,,,,,,,,,, +海韭菜,Triglochin maritima,陈家辉,庄会富,刘德团,边巴扎西,YangYP-Q-0106,20080830,西藏,4267,草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1390290.jpg,,,,,,,,,, +,Triglochin palustris,青藏队植被组,12046,19760726,西藏自治区,4800,水边草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076464.jpg,,,,,,,,,, +,Triglochin palustris,刘慎谔等,8115,19560815,内蒙古自治区,,碱地水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766701.jpg,,,,,,,,,, +,Triglochin palustris,刘玉书,112,19570818,河北,1450,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0049665.jpg,,,,,,,,,, +,Trigonospora caudipinna,,,,,,,,,,,,,,,,,,, +,Trigonospora ciliata,金岳杏,7014,19771118,海南,,沟中,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00603670.jpg,,,,,,,,,, +,Trigonospora ciliata,丁广奇,石国良,951,19630902,广东,,谷边,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00603671.jpg,,,,,,,,,, +,Trigonospora ciliata,陈少卿,11837,19590613,广西,,水旁岩石上,山谷,林中,草本直立,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00603672.jpg,,,,,,,,,, +金川附地菜,Trigonotis barkamensis,李馨、朱官政,75125,19570702,四川省,2250,山坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029727.jpg,,,,,,,,,, +,Trigonotis barkamensis,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-125-B42,20190817,四川,3854,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260260.jpg,,,,,,,,,, +全苞附地菜,Trigonotis bracteata,"应俊生,洪德元",650802,19650723,西藏自治区,2080,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361503.jpg,,,,,,,,,, +全苞附地菜,Trigonotis bracteata,蔡杰,刘恩德,郭永杰,13CS7670,20130531,西藏,2220,路边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1395974.jpg,,,,,,,,,, +灰叶附地菜,Trigonotis cinereifolia,"张永田,郞楷永",773,19650720,西藏自治区,2030,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361521.jpg,,,,,,,,,, +虫实附地菜,Trigonotis corispermoides,南水北调队,2884,19610522,四川省,3140,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110890.jpg,,,,,,,,,, +虫实附地菜,Trigonotis corispermoides,H.T.Tsai,57614,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029710.jpg,,,,,,,,,, +虫实附地菜,Trigonotis corispermoides,彭玉兰、余奇、李林霖,THP-KD-1090,20170612,四川,2220~2702,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253059.jpg,,,,,,,,,, +扭梗附地菜,Trigonotis delicatula,,3969,19570717,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717100815.jpg,,,,,,,,,, +,Trigonotis delicatula,H. R. E. Handel-Mazzetti,7253,1915/7/25,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00015285.jpg,,,,,,,,,, +扭梗附地菜,Trigonotis delicatula,赵文李,陶小强,BSGLGSly3225,20191212,云南,2300,公路边,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489589.jpg,,,,,,,,,, +细梗附地菜,Trigonotis gracilipes,彭玉兰、余奇、李林霖,THP-KD-1590,20170621,四川,3400,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253058.jpg,,,,,,,,,, +细梗附地菜,Trigonotis gracilipes,D.E.Boufford et al,42161,20100722,云南省,3680~3840,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01883720.jpg,,,,,,,,,, +细梗附地菜,Trigonotis gracilipes,林英,13098,19460515,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0024471.jpg,,,,,,,,,, +,Trigonotis leucantha,姜恕等,9644,19610723,四川省,3700,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01355631.jpg,,,,,,,,,, +白花附地菜,Trigonotis leucantha,许雪敏,胡佺,BNU2019SC126,20190803,四川,3366,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0049332.jpg,,,,,,,,,, +,Trigonotis longipes,高信芬、彭玉兰,1692,20010812,四川省,2570,河边灌丛间,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0188321.jpg,,,,,,,,,, +,Trigonotis longiramosa,,,,,,,,,,,,,,,,,,, +冕宁附地菜,Trigonotis muliensis,D.E.Boufford et al.,32717,20050709,四川省,3800~4000,thickets and forest of mixed shrubs in ravine and interspersed meadow-shrub clearings,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050324.jpg,,,,,,,,,, +,Trigonotis muliensis,"D. E. Boufford, J. H. Chen, K. Fujikawa, S. L. Kel",32717,,,3925,,,,https://image.cvh.ac.cn/files/l/HUH/A00306964.jpg,,,,,,,,,, +,Trigonotis petiolaris,N. M. Przewalski,341,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00015304.jpg,,,,,,,,,, +祁连山附地菜,Trigonotis petiolaris,"康藏植物考察队(Kham Expedition)(陈又生,高云东,周广明,何理,张宪春,马祥光)",10-0979,20100731,青海省,4800,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111268.jpg,,,,,,,,,, +祁连山附地菜,Trigonotis petiolaris,陈晓澄等,6104,20140806,西藏自治区,3312,灌木林山阳坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00014477.jpg,,,,,,,,,, +高山附地菜,Trigonotis rockii,云大,306,19560709,云南省,0~4150,,平卧灌木,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0557826.jpg,,,,,,,,,, +高山附地菜,Trigonotis rockii,"何铸,周子林",12969,19520000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01360294.jpg,,,,,,,,,, +高山附地菜,Trigonotis rockii,George Forrest,26918,19250700,,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01360418.jpg,,,,,,,,,, +,Trigonotis rotundata,"Forrest, George",20519,12-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00284696.jpg,,,,,,,,,, +圆叶附地菜,Trigonotis rotundata,George Forrest,20519,,云南省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432007.jpg,,,,,,,,,, +圆叶附地菜,Trigonotis rotundata,C.S.Chang et al.,SI0942,20100702,四川省,4060,Alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885858.jpg,,,,,,,,,, +假冠毛草,Trikeraia pappiformis,郭本兆等,21200,1977/7/11,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0343975.jpg,,,,,,,,,, +假冠毛草,Trikeraia pappiformis,刘坤,LiuJQ-GN-2011-316,20110912,甘肃,2996,干山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1404792.jpg,,,,,,,,,, +假冠毛草,Trikeraia pappiformis,姚仲吾,570,19341017,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718312.jpg,,,,,,,,,, +西藏延龄草,Trillium govanianum,,477,19590621,西藏自治区,3100,针阔叶林,,无花无果,https://image.cvh.ac.cn/files/l/PE/00035328.jpg,,,,,,,,,, +西藏延龄草,Trillium govanianum,J.F.Duthie,,18990715,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0646706.jpg,,,,,,,,,, +延龄草,Trillium tschonoskii,张挺,蔡杰,刘成,吴之坤,11CS2811,20110527,云南,3084,林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1392674.jpg,,,,,,,,,, +延龄草,Trillium tschonoskii,T.N.Liou & P.C.Tsoong,3161,19350831,安徽省,1650,shaded ravine,in humus,,无花无果,https://image.cvh.ac.cn/files/l/PE/00592960.jpg,,,,,,,,,, +延龄草,Trillium tschonoskii,张代贵,zdg7109,20080729,湖北神农架林区,,路旁,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU67000.jpg,,,,,,,,,, +,Tripogon humilis,,,,,,,,,,,,,,,,,,, +,Tripogon sichuanicus,,5258,19740529,四川省,1620,干旱河谷公路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718601.jpg,,,,,,,,,, +四川草沙蚕,Tripogon sichuanicus,彭玉兰、余奇、李林霖,THP-KD-1615,20170621,四川,3400,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255457.jpg,,,,,,,,,, +,Tripogon yunnanensis,胡君、王东超、李丽、唐露,SC-a-092-B24,20180816,西藏,3685,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262069.jpg,,,,,,,,,, +,Tripogon yunnanensis,"Rock, Joseph Francis Charles",10505,1923,,,,,,https://image.cvh.ac.cn/files/l/E/E00142829.jpg,,,,,,,,,, +云南草沙蚕,Tripogon yunnanensis,余奇、周晓雪,THP-KD-4175,20170712,四川,3380~3447,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254975.jpg,,,,,,,,,, +康定三毛草,Trisetum kangdingense,高信芬,鞠文彬,郑臣臣,THP-KD-5750,20170809,四川,4427,草地灌丛,多年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0256020.jpg,,,,,,,,,, +,Trivalvaria argentea,,,,,,,,,,,,,,,,,,, +,Trollius micranthus,"Handel-Mazzetti, Heinrich",9877,15-Aug-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00117326.jpg,,,,,,,,,, +小花金莲花,Trollius micranthus,Gaoligong Shan Biodiversity Survey,31242,20060819,云南省,3750,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01659232.jpg,,,,,,,,,, +小花金莲花,Trollius micranthus,,,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00065785.jpg,,,,,,,,,, +毛茛状金莲花,Trollius ranunculoides,贾慎修,355,19510907,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467219.jpg,,,,,,,,,, +毛茛状金莲花,Trollius ranunculoides,何兴金,马祥光,张云香,杨丽娟,SCU-11-250,20110907,中国,3768,高山草甸,,果标本,https://image.cvh.ac.cn/files/l/KUN/1233232.jpg,,,,,,,,,, +毛茛状金莲花,Trollius ranunculoides,许炳强,周伟,郑朝汉,XiaNH0045,20080825,青海,3933,高山草地,,果标本,https://image.cvh.ac.cn/files/l/KUN/1233235.jpg,,,,,,,,,, +鞘柄金莲花,Trollius vaginatus,G.Forrest,30014,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467277.jpg,,,,,,,,,, +鞘柄金莲花,Trollius vaginatus,T.T.Yu,6489,19370620,四川省,4100,alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467276.jpg,,,,,,,,,, +鞘柄金莲花,Trollius vaginatus,,人365,19810909,西藏自治区,5000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962075.jpg,,,,,,,,,, +云南金莲花,Trollius yunnanensis,彭玉兰,涂卫国,GaoXF-0977,20080904,四川,3800,草甸,,果标本,https://image.cvh.ac.cn/files/l/KUN/1233245.jpg,,,,,,,,,, +云南金莲花,Trollius yunnanensis,,s.n.,12-Mar,西藏省,2900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0090957.jpg,,,,,,,,,, +覆裂云南金莲花,Trollius yunnanensis,T.P. Wang,7083,1937/7/6,甘肃省,2500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0418509.jpg,,,,,,,,,, +阔叶竹茎兰,Tropidia angulosa,A. Henry,1905,,台湾; Formosa,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00028854.jpg,,,,,,,,,, +阔叶竹茎兰,Tropidia angulosa,孙洪范,9246,19640619,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0657870.jpg,,,,,,,,,, +阔叶竹茎兰,Tropidia angulosa,邢福武,李泽贤,6130,19890726,海南省,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0657866.jpg,,,,,,,,,, +短穗竹茎兰,Tropidia curculigoides,海南吊罗山队,2787,19541125,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00146775.jpg,,,,,,,,,, +,Tropidia curculigoides,金效华,X.H.Jin-8707,20061221,云南,1029,常绿阔叶林,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1394374.jpg,,,,,,,,,, +短穗竹茎兰,Tropidia curculigoides,海南工作站,1066,19600705,海南省 ,0~95,,草本披散,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0657882.jpg,,,,,,,,,, +云南铁杉,Tsuga dumosa,T.H.Tu,303,19310718,重庆市,,among woods,tree,无花有果,https://image.cvh.ac.cn/files/l/CQNM/0000137.jpg,,,,,,,,,, +云南铁杉,Tsuga dumosa,张宏达,5063,1976/7/7,云南; Yunnan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00001051.jpg,,,,,,,,,, +云南铁杉,Tsuga dumosa,余新林、赵玮,BSGLGStc316,20160210,云南,2670,针阔混交林,乔木,,https://image.cvh.ac.cn/files/l/KUN/1405072.jpg,,,,,,,,,, +,Tupistra clarkei,,,,,,,,,,,,,,,,,,, +,Tupistra nutans,,,,,,,,,,,,,,,,,,, +,Tupistra stoliczana,,,,,,,,,,,,,,,,,,, +,Tupistra stoliczkana,,,,,,,,,,,,,,,,,,, +大籽山香圆,Turpinia macrosperma,俞德浚,20474,19380926,云南省 ,1150,among woods,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0198211.jpg,,,,,,,,,, +,Turpinia macrosperma,陈伟烈,10860,19800701,西藏自治区,1100,林间,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077615.jpg,,,,,,,,,, +大籽山香圆,Turpinia macrosperma,冯国楣,2428,19591112,云南省,1200,河边阔叶林中,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0198210.jpg,,,,,,,,,, +汶川娃儿藤,Tylophora nana,K.T.Fu,2230,19371023,四川省,1600,on hill slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01060110.jpg,,,,,,,,,, +汶川娃儿藤,Tylophora nana,C. W. Wang,80897,1936/11/,云南省,750,,小灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0039717.jpg,,,,,,,,,, +汶川娃儿藤,Tylophora nana,空,2253,空,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005784.jpg,,,,,,,,,, +香蒲,Typha angustifolia,刘正宇,15657,19951012,贵州省,730,溪边水塘中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239061.jpg,,,,,,,,,, +香蒲,Typha angustifolia,,s.n.,,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01444797.jpg,,,,,,,,,, +,Typha angustifolia,,0,19320831,河北,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0051934.jpg,,,,,,,,,, +宽叶香蒲,Typha latifolia,廖矛川,860707,19860707,内蒙古自治区,,沼泽,,无花有果,https://image.cvh.ac.cn/files/l/PE/01444885.jpg,,,,,,,,,, +宽叶香蒲,Typha latifolia,张志英,10364,1959/8/6,甘肃,1250,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0146403.jpg,,,,,,,,,, +宽叶香蒲,Typha latifolia,通化组,85,19590819,吉林省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01444883.jpg,,,,,,,,,, +无苞香蒲,Typha laxmannii,泛喜马拉雅植物志巴基斯坦采集队,FPH-1461,20120910,新疆维吾尔自治区,,湿地中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02005525.jpg,,,,,,,,,, +无苞香蒲,Typha laxmannii,叶居新,404,19600828,吉林省,,水中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01444930.jpg,,,,,,,,,, +无苞香蒲,Typha laxmannii,P.Licent S.J.,13600,19370714,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01445024.jpg,,,,,,,,,, +香蒲,Typha orientalis,伍琼斌,522325190717522LY,20190717,贵州,1275,草丛、湿生、阳性、中温、野生酸性土植物,多年生草本植物,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0095740.jpg,,,,,,,,,, +香蒲,Typha orientalis,刘逸嵘、刘佳、潘嘉文、叶矾、冯璐、刘忠成,440224181203015LY,20181203,广东,105,野生,湿生,阳性,中温植物,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/SYS/SYS00235192.jpg,,,,,,,,,, +东方香蒲,Typha orientalis,Licent,5501,19190630,宁夏回族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00053673.jpg,,,,,,,,,, +鞭檐犁头尖,Typhonium flagelliforme,广西队,3720,,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00032677.jpg,,,,,,,,,, +鞭檐犁头尖,Typhonium flagelliforme,中苏队,152,19540420,云南省,,"水旁,水田边",,有花有果,https://image.cvh.ac.cn/files/l/PE/00032676.jpg,,,,,,,,,, +鞭檐犁头尖,Typhonium flagelliforme,蔡杰,张挺,13CS7086,20130807,云南,671,水稻田埂,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1392901.jpg,,,,,,,,,, +马蹄犁头尖,Typhonium trilobatum,,s.n.,,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01437113.jpg,,,,,,,,,, +马蹄犁头尖,Typhonium trilobatum,,182,0,广宁,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/29672.jpg,,,,,,,,,, +马蹄犁头尖,Typhonium trilobatum,钟义,60162,19751102,海南省,0~4,,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0637380.jpg,,,,,,,,,, +小果榆,Ulmus microcarpa,青藏队,73-1006,19730807,西藏自治区,2800,山坡针阔混交林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/00023059.jpg,,,,,,,,,, +小果榆,Ulmus microcarpa,王斌、李超、王兴旭,LSJL-0001,20210711,云南,2339.294,阔叶林,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1498274.jpg,,,,,,,,,, +叉喙兰,Uncifera acuminata,Y.Tsiang,5910,19300720,贵州省,730,on rock,,有花无果,https://image.cvh.ac.cn/files/l/PE/00805228.jpg,,,,,,,,,, +叉喙兰,Uncifera acuminata,Xiaohua Jin et Zhanghai Li,16649,20150820,云南省,2400,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233144.jpg,,,,,,,,,, +叉喙兰,Uncifera acuminata,黄连山保护区科研所,HLS0103,20080305,云南,1964,次生林,攀援草本,,https://image.cvh.ac.cn/files/l/KUN/1394377.jpg,,,,,,,,,, +,Uncifera lancifolia,,,,,,,,,,,,,,,,,,, +,Uncifera obtusifolia,,,,,,,,,,,,,,,,,,, +三角叶荨麻,Urtica triangularis,陈晓澄等,Chenxc-146,20170828,西藏,3771,河滩,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018073.jpg,,,,,,,,,, +三角叶荨麻,Urtica triangularis,D.E.Boufford et al.,40925,20090722,西藏自治区,3320,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873614.jpg,,,,,,,,,, +三角叶荨麻,Urtica triangularis,路、崔、张,,20010800,青海,2900,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00041954.jpg,,,,,,,,,, +,Uvaria dioeca,,,,,,,,,,,,,,,,,,, +,Vaccinium kingdon-wardii,,,,,,,,,,,,,,,,,,, +,Vaccinium papulosum,,,,,,,,,,,,,,,,,,, +,Vaccinium scalarinervium,,,,,,,,,,,,,,,,,,, +,Vaccinium sikkimense,,,,,,,,,,,,,,,,,,, +,Vaccinium spiculatum,,,,,,,,,,,,,,,,,,, +,Vaccinium tenuiflorum,,,,,,,,,,,,,,,,,,, +,Valeriana barbulata,,,,,,,,,,,,,,,,,,, +,Valeriana daphniflora,,,,,,,,,,,,,,,,,,, +,Valeriana flagellifera,,,,,,,,,,,,,,,,,,, +,Valeriana hirticalyx,,,,,,,,,,,,,,,,,,, +,Valeriana meonantha,,,,,,,,,,,,,,,,,,, +,Valeriana minutiflora,,,,,,,,,,,,,,,,,,, +,Valeriana sichuanica,,,,,,,,,,,,,,,,,,, +,Valeriana stenoptera,,,,,,,,,,,,,,,,,,, +,Valeriana trichostoma,,,,,,,,,,,,,,,,,,, +苦草,Vallisneria natans,绵阳队,123,19780604,四川,500,,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM720400058.jpg,,,,,,,,,, +苦草,Vallisneria natans,侯元同,郭成勇,侯元免,侯春丽,宋晓琳,张锦洋,370503190722230LY,20190722,山东,0,沼泽,一年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0051932.jpg,,,,,,,,,, +苦草,Vallisneria natans,钟济新,83088,19400904,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00135878.jpg,,,,,,,,,, +垂头万代兰,Vanda alpina,叶金科等,YNS0408,20081218,云南,1109,附生公路边树上,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1394380.jpg,,,,,,,,,, +,Vanda bicolor,,,,,,,,,,,,,,,,,,, +,Vanda brunnea,中苏队,7004,19570305,云南省,1350,平原 疏林 阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230475.jpg,,,,,,,,,, +白柱万代兰,Vanda brunnea,黄连山科研所,HLS0384,20111221,云南,,,草本,,https://image.cvh.ac.cn/files/l/KUN/1394384.jpg,,,,,,,,,, +白柱万代兰,Vanda brunnea,黄宝优、胡秀,15037,20070205,广西壮族自治区,,石山杂林(烂树上),,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0035997.jpg,,,,,,,,,, +,Vanda coerulescens,Tsi Zhanhuo,92-174,19920423,云南省,1150,growing on the tree of forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01791166.jpg,,,,,,,,,, +小蓝万代兰,Vanda coerulescens,George Forrest,7450,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0493968.jpg,,,,,,,,,, +小蓝万代兰,Vanda coerulescens,郭永杰,聂细转,黄秋月,李昌洪,12CS4885,20120317,云南,539,公路边,附生植物,,https://image.cvh.ac.cn/files/l/KUN/1394385.jpg,,,,,,,,,, +琴唇万代兰,Vanda concolor,H.T.Tsai,56757,19340126,云南省 ,1650,on tree in woods,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00560838.jpg,,,,,,,,,, +琴唇万带兰,Vanda concolor,C.W.Wang,81047,19361000,云南省,950,thickets,,无花无果,https://image.cvh.ac.cn/files/l/PE/00805260.jpg,,,,,,,,,, +琴唇万代兰,Vanda concolor,李泽贤 刑福武,3772,19880424,海南省 ,0,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0657929.jpg,,,,,,,,,, +,Vanda cristata,Do.Phibp. et al.,562,19980502,云南省,146~1465,岩石上近山顶灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01681714.jpg,,,,,,,,,, +叉唇万代兰,Vanda cristata,,3343,19900819,西藏自治区,1150,山坡林中 附生蕈树上,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00007049.jpg,,,,,,,,,, +矮万代兰,Vanda pumila,刘正宇,2023226,20021112,重庆市,480,寄生于黄桷树上,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0012259.jpg,,,,,,,,,, +,Vanda pumila,HK kadoorie teaus,82,20010518,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02097487.jpg,,,,,,,,,, +矮美万代兰,Vanda pumila,叶金科等,YNS0407,20081218,云南,1109,附生公路边树上,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1394387.jpg,,,,,,,,,, +,Vanda stangeana,,,,,,,,,,,,,,,,,,, +,Vanda testacea,刘华清,429,19890315,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/058266.jpg,,,,,,,,,, +瓶蕨,Vandenboschia auriculata,蒋英,13259,19330000,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00145032.jpg,,,,,,,,,, +瓶蕨,Vandenboschia auriculata,,400897,1958/8/4,广西,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0182986.jpg,,,,,,,,,, +瓶蕨,Vandenboschia auriculata,张挺,蔡杰,张书东,11CS2696,20110505,云南,2426,岩石上,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1405751.jpg,,,,,,,,,, +南海瓶蕨,Vandenboschia striata,周喜乐、商辉,ZXL06046,20150614,台湾省,422,,,有孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0105623.jpg,,,,,,,,,, +南海瓶蕨,Vandenboschia striata,鞠文彬,邓亨宁 ,HGX13724,20130918,四川省,,溪边石壁下,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0239038.jpg,,,,,,,,,, +南海瓶蕨,Vandenboschia striata,金摄郎,JSL3650,20160206,广西省,,,,无孢子囊,https://image.cvh.ac.cn/files/l/CSH/CSH0113750.jpg,,,,,,,,,, +察隅婆婆纳,Veronica chayuensis,王以兴,522422160414007LY,20160414,贵州省,1989.5,中生、阳性、酸性土中温、野生植物、草丛,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0034846.jpg,,,,,,,,,, +察隅婆婆纳,Veronica chayuensis,青藏队,6161,19750630,西藏自治区,3500,山坡Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01464129.jpg,,,,,,,,,, +察隅婆婆纳,Veronica chayuensis,余岩、蓝艳玲,2020617,20200716,四川,3692,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/02020617.jpg,,,,,,,,,, +毛果婆婆纳,Veronica eriogyne,W.Y.Hsia,8762,19401024,甘肃省,2900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01464432.jpg,,,,,,,,,, +毛果婆婆纳,Veronica eriogyne,刘坤,LiuJQ-GN-2011-538,20110802,甘肃,3525,沼泽草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1384818.jpg,,,,,,,,,, +毛果婆婆纳,Veronica eriogyne,K.M.Liou,6160,19360726,青海省,1980,bords des bruyeres ou herbeux,,有花无果,https://image.cvh.ac.cn/files/l/PE/01464433.jpg,,,,,,,,,, +丝梗婆婆纳,Veronica filipes,Ho Ting-nung et al.,1245,19930815,青海省,4400~4700,"Steep slopes with mostly Kobresia meadows,some lower slopes with Potentilla scrub on soft black soil.In rocky and sandy site",,无花有果,https://image.cvh.ac.cn/files/l/PE/01493669.jpg,,,,,,,,,, +丝梗婆婆纳,Veronica filipes,刘振书,1515,19340911,四川省,3850,upon the rocks,,有花有果,https://image.cvh.ac.cn/files/l/PE/01464531.jpg,,,,,,,,,, +,Veronica filipes,,,,,,,,,,,,,,,,,,, +长柄婆婆纳,Veronica longipetiolata,青藏队植被组,4390,19750628,西藏自治区,3050,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803199.jpg,,,,,,,,,, +长柄婆婆纳,Veronica longipetiolata,侯元同,郭成勇,侯春丽,201605063-1,20160430,四川省,1843.47,水岸边,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0025807.jpg,,,,,,,,,, +兔儿尾草,Veronica longipetiolata,张重岭,222,20180710,内蒙古,577.4,草甸,,有花无果,https://image.cvh.ac.cn/files/l/YAK/YAK0005339.jpg,,,,,,,,,, +膜叶婆婆纳,Veronica riae,郎楷永,李良千,费勇,2668,19830803,四川省,4000,河边草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/478111.jpg,,,,,,,,,, +,Veronica tibetica,,,,,,,,,,,,,,,,,,, +,Veronicastrum rhombifolium,,,,,,,,,,,,,,,,,,, +川西荚蒾,Viburnum davidii,郭素白,80829,,,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00021883.jpg,,,,,,,,,, +川西荚蒾,Viburnum davidii,袁亚军,QNSY052020,20060607,贵州省,580,田埂,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0009465.jpg,,,,,,,,,, +川西荚蒾,Viburnum davidii,方文培 胡文光,607,1954/7/18,四川,2200,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0306433.jpg,,,,,,,,,, +,Vicia dichroantha,,,,,,,,,,,,,,,,,,, +,Vicia longicuspis,,,,,,,,,,,,,,,,,,, +,Vicia nummularia,,,,,,,,,,,,,,,,,,, +,Vicia ternata,,,,,,,,,,,,,,,,,,, +密叶堇菜,Viola confertifolia,韦美会,20100101,20100525,贵州省,1256,路边,,无花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0008336.jpg,,,,,,,,,, +密叶堇菜,Viola confertifolia,"杨亲二,陈又生,袁琼",138,20030913,云南省,3100,放牧草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01881631.jpg,,,,,,,,,, +,Viola confertifolia,"Delavay, J.M.",1858,1885-8-6,,,,,,https://image.cvh.ac.cn/files/l/P/P00432561.jpg,,,,,,,,,, +羽裂堇菜,Viola forrestiana,陈又生,6049,20060327,四川省,1800,"Grassy slopes,rare,along with 6048",,有花无果,https://image.cvh.ac.cn/files/l/PE/01840476.jpg,,,,,,,,,, +,Viola forrestiana,"Forrest, George",21652,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00117502.jpg,,,,,,,,,, +羽裂堇菜,Viola forrestiana,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,718,20120806,西藏,,水边,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230346.jpg,,,,,,,,,, +,Viola muliensis,Y. S. Chen,4260,20040705,四川省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01896043.jpg,,,,,,,,,, +,Viola muliensis,"Chen, Y.S.",4260,5-Jul-04,,,,,,https://image.cvh.ac.cn/files/l/E/E00226333.jpg,,,,,,,,,, +粗齿堇菜,Viola urophylla,陈又生,4285,20040719,云南省,3000,Sunny slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840194.jpg,,,,,,,,,, +粗齿堇菜,Viola urophylla,陈又生,4247,20040630,四川省,2750,sparse forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01819739.jpg,,,,,,,,,, +,Viola urophylla,胡光万,HGW-00230,20080530,云南,2493,山地,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1300919.jpg,,,,,,,,,, +,Vitex yunnanensis,,,,,,,,,,,,,,,,,,, +琴叶瓦理棕,Wallichia caryotoides,生态室高原组,11063,19800712,西藏自治区,760,林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01468173.jpg,,,,,,,,,, +琴叶瓦理棕,Wallichia caryotoides,王启无,727817,19350000,云南省 ,0,,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0364861.jpg,,,,,,,,,, +琴叶瓦理棕,Wallichia caryotoides,,L01617,19590417,云南省,600,,常绿草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0364855.jpg,,,,,,,,,, +二列瓦理棕,Wallichia disticha,陈三阳,659,19881030,云南省,500,林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1247975.jpg,,,,,,,,,, +二列瓦理棕,Wallichia disticha,青藏队,74-4548,19740826,西藏自治区,850,中山坡阔叶林下,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0364881.jpg,,,,,,,,,, +,Wallichia gracilis,青藏队植被组,2830,19740830,西藏自治区,850,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01538681.jpg,,,,,,,,,, +,Wallichia gracilis,,s.n.,19581209,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01450260.jpg,,,,,,,,,, +,Wallichia gracilis,中越考察队,1496,19650117,,260~300,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01722043.jpg,,,,,,,,,, +,Wallichia nana,,,,,,,,,,,,,,,,,,, +,Wallichia oblongifolia,,,,,,,,,,,,,,,,,,, +,Wallichia triandra,,,,,,,,,,,,,,,,,,, +高山水锦树,Wendlandia subalpina,中甸队,2174,19620921,云南省,2000,河边 丘陵 崖石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00852056.jpg,,,,,,,,,, +高山水锦树,Wendlandia subalpina,G.Forrest,12617,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0522418.jpg,,,,,,,,,, +,Wendlandia subalpina,"Forrest, George",10378,13-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00505230.jpg,,,,,,,,,, +,Whytockia gongshanensis,,,,,,,,,,,,,,,,,,, +互生叶荛花,Wikstroemia alternifolia,N.Potanin,s.n.,18850724,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00025544.jpg,,,,,,,,,, +,Wikstroemia alternifolia,J. M. Delavay,4789,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00443794.jpg,,,,,,,,,, +,Wikstroemia baimashanensis,,,,,,,,,,,,,,,,,,, +短总序荛花,Wikstroemia capitato-racemosa,俞德俊,10065,19370901,云南省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0200861.jpg,,,,,,,,,, +短总序荛花,Wikstroemia capitato-racemosa,青藏补点,750416,19750630,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/51052.jpg,,,,,,,,,, +短总序荛花,Wikstroemia capitato-racemosa,杨竞生,84-179,19840625,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1265819.jpg,,,,,,,,,, +澜沧荛花,Wikstroemia delavayi,"刘恩德,向春雷,侬鑫",2711,20100813,云南省,2641,"Roadside,dry slope",,,https://image.cvh.ac.cn/files/l/KUN/1278118.jpg,,,,,,,,,, +澜沧荛花,Wikstroemia delavayi,,14709,19760901,四川省,1600,向阳的灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598754.jpg,,,,,,,,,, +,Wikstroemia delavayi,"Ducloux, F.",6734,9-Aug,,,,,,https://image.cvh.ac.cn/files/l/P/P00713353.jpg,,,,,,,,,, +,Wikstroemia haoi,方文培,4235,19280817,四川省,,at roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598764.jpg,,,,,,,,,, +,Wikstroemia haoi,Tsi-Tang Li.,482,19390000,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598763.jpg,,,,,,,,,, +武都荛花,Wikstroemia haoi,郭本兆,2036,1952-8 2,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0082419.jpg,,,,,,,,,, +,Wikstroemia lamatsoensis,,,,,,,,,,,,,,,,,,, +细叶荛花,Wikstroemia leptophylla,,3676,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01597309.jpg,,,,,,,,,, +细叶荛花,Wikstroemia leptophylla,武素功,3676,19591117,四川省,1770,松林下,干燥,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0469753.jpg,,,,,,,,,, +细叶荛花,Wikstroemia leptophylla,"苏贵兴,胡秀贞",756,19581028,陕西省,510,山中部,,无花无果,https://image.cvh.ac.cn/files/l/PE/01597308.jpg,,,,,,,,,, +丽江荛花,Wikstroemia lichiangensis,四川省植被调查队,2353,19730711,四川省,4000,山坡沟边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01068152.jpg,,,,,,,,,, +丽江荛花,Wikstroemia lichiangensis,G.Forrest,5664,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01068155.jpg,,,,,,,,,, +丽江荛花,Wikstroemia lichiangensis,魏振铎,22346,19800806,青海省,3400,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/104160.jpg,,,,,,,,,, +线叶荛花,Wikstroemia linearifolia,李秋痕,6355,1977-6 2,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0082440.jpg,,,,,,,,,, +隆子荛花,Wikstroemia lungtzeensis,PE西藏队,PE5494,20170831,西藏自治区,3583,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330380.jpg,,,,,,,,,, +隆子荛花,Wikstroemia lungtzeensis,任,781056,19780625,西藏,3400,,,,https://image.cvh.ac.cn/files/l/BJFC/00012583.jpg,,,,,,,,,, +懋功荛花,Wikstroemia paxiana,"程树志,李渤生",1797,19821115,西藏自治区,1000,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495705.jpg,,,,,,,,,, +小构树,Wikstroemia scytophylla,曾宪锋,ZXF4133,2007/3/22,广东省,630,谷口阳地,,有花,https://image.cvh.ac.cn/files/l/CZH/CZH0001846.jpg,,,,,,,,,, +革叶荛花,Wikstroemia scytophylla,张贵志 田径,1110033,20111024,江西省,150,丹霞石壁或顶部,灌木,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI058212.jpg,,,,,,,,,, +革叶荛花,Wikstroemia scytophylla,青藏队植被组,8110,19760601,四川省,2500,山坡下部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538449.jpg,,,,,,,,,, +轮叶荛花,Wikstroemia stenophylla,Chen Hsi Chang,3378,19250917,福建省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/117214224.jpg,,,,,,,,,, +窄叶荛花,Wikstroemia stenophylla,崔友文,1403,19500712,河北省,0,山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0469901.jpg,,,,,,,,,, +窄叶荛花,Wikstroemia stenophylla,安江农校,374,19530418,湖南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01068543.jpg,,,,,,,,,, +,Wikstroemia techinensis,T. T. Yu,8720,1937/7/24,,3400,,,,https://image.cvh.ac.cn/files/l/HUH/A00443803.jpg,,,,,,,,,, +芜萍,Wolffia arrhiza,C.S.Fan,,19360400,江苏省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/024020018.jpg,,,,,,,,,, +芜萍,Wolffia arrhiza,Hiroshi Ito.,1229,19551101,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01722580.jpg,,,,,,,,,, +芜萍,Wolffia arrhiza,武大生物系,,,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0138846.jpg,,,,,,,,,, +蜘蛛岩蕨,Woodsia andersonii,杨永昌,1461,1965/8/20,青海,4500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0261923.jpg,,,,,,,,,, +蜘蛛岩蕨,Woodsia andersonii,"Jin XH,Wang LS,Wang Q etc.",ST2870,20130810,西藏自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02032780.jpg,,,,,,,,,, +蜘蛛岩蕨,Woodsia andersonii,T. P. Wang,7657,1937/9/3,甘肃,3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0483718.jpg,,,,,,,,,, +栗柄岩蕨,Woodsia cycloloba,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191502,20190927,云南,4294,亚热带,高山草甸,草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1486014.jpg,,,,,,,,,, +栗柄岩蕨,Woodsia cycloloba,蔡杰,刘成,何谐,16CS11710,20160822,甘肃,3214,沟谷林下,多年生草本,有孢子囊,https://image.cvh.ac.cn/files/l/KUN/1435384.jpg,,,,,,,,,, +栗柄岩蕨,Woodsia cycloloba,"Jin XH,Wang LS,Wang Q etc.",ST2757,,西藏自治区,3400,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/02032762.jpg,,,,,,,,,, +,Woodsia elongata,PE西藏队,PE6526,20170912,西藏自治区,3588,林下,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01891833.jpg,,,,,,,,,, +,Woodsia elongata,Hideo Tabata et al.,10618,19780612,,3500,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01721509.jpg,,,,,,,,,, +,Woodsia elongata,,12294,19380913,云南省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00944561.jpg,,,,,,,,,, +光岩蕨,Woodsia glabella,严岳鸿、齐新萍,HLJ201208014,201208,黑龙江,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0038762.jpg,,,,,,,,,, +,Woodsia glabella,崔友文,1209,19490919,内蒙古自治区,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00944568.jpg,,,,,,,,,, +,Woodsia glabella,李继侗,s.n.,,河北省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00944573.jpg,,,,,,,,,, +毛盖岩蕨,Woodsia lanosa,South Tibet Exp. Team (STET),STET0496,20100716,西藏自治区,3800,Alpine meadow,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01964542.jpg,,,,,,,,,, +,Woodsia lanosa,Qurdom,,,陕西省,,,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/00059567.jpg,,,,,,,,,, +毛盖岩蕨,Woodsia lanosa,蒋英,11460,19330000,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00154059.jpg,,,,,,,,,, +密毛岩蕨,Woodsia rosthorniana,,,,山东省,,,,,https://image.cvh.ac.cn/files/l/BNU/0025018.jpg,,,,,,,,,, +密毛岩蕨,Woodsia rosthorniana,汪劲武,271,19861008,河北,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0028281.jpg,,,,,,,,,, +密毛岩蕨,Woodsia rosthorniana,,,,山西省,1800,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00032915.jpg,,,,,,,,,, +顶芽狗脊,Woodwardia unigemmata,侯宽昭,70440,19330327,海南省,1400,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00151202.jpg,,,,,,,,,, +顶芽狗脊,Woodwardia unigemmata,,12108,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00154606.jpg,,,,,,,,,, +顶芽狗脊,Woodwardia unigemmata,王印政等,4123,19981018,云南省,1700,山地山坡,,有孢子囊,https://image.cvh.ac.cn/files/l/PE/01802125.jpg,,,,,,,,,, +,Wuodendron praecox,Y.L.Li & B.Xue,300,20170401,云南省,1100,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02308795.jpg,,,,,,,,,, +,Wurfbainia aromatica,,,,,,,,,,,,,,,,,,, +黄缨菊,Xanthopappus subacaulis,,121,19610802,青海省,3660,高山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01845467.jpg,,,,,,,,,, +黄缨菊,Xanthopappus subacaulis,"陈又生,袁慊,徐连升等",141023,20140728,内蒙古自治区,,山梁或山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084261.jpg,,,,,,,,,, +黄缨菊,Xanthopappus subacaulis,黄河调查队,1139,19560000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01845469.jpg,,,,,,,,,, +,Yoania prainii,冯国楣,24312,19591117,云南省,2000,山坡阔叶林中树上,,有果无花,https://image.cvh.ac.cn/files/l/KUN/434206.jpg,,,,,,,,,, +印度宽距兰,Yoania prainii,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201515,20200805,西藏,2579,竹林中,寄生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508548.jpg,,,,,,,,,, +,Yoania prainii,,22243,0,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/434443.jpg,,,,,,,,,, +,Youngia hastiformis,陈又生,9660,20090830,四川省,3660,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052521.jpg,,,,,,,,,, +顶戟黄鹌菜,Youngia hastiformis,青藏队,1978,1981-7 1,云南省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0151528.jpg,,,,,,,,,, +毛茛,Youngia hastiformis,程斯佳,BJTC008751,20190712,北京市,864~864,坡地,草本,无花有果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008751.jpg,,,,,,,,,, +康定黄鹌菜,Youngia kangdingensis,"郎楷永,李良千,费勇",650,19820726,四川省,3300,沟边草地及高山栎林灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01691135.jpg,,,,,,,,,, +,Youngia kangdingensis,高信芬、黎怀诚,THP-KD-0468,20170603,四川,3932,,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252897.jpg,,,,,,,,,, +康定黄鹌菜,Youngia kangdingensis,,K1875,20011002,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 008008.jpg,,,,,,,,,, +羽裂黄鹌菜,Youngia paleacea,康藏植物考察队,10-2347,20100819,西藏自治区,2738~2780,山谷山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053089.jpg,,,,,,,,,, +羽裂黄鹌菜,Youngia paleacea,王启无,68263,19350800,,3400,mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01691292.jpg,,,,,,,,,, +羽裂黄鹌菜,Youngia paleacea,D.E.Boufford et al.,35526,20060731,四川省,3440,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912959.jpg,,,,,,,,,, +糙毛黄鹌菜,Youngia pilifera,刘恩德等,2653,20100809,四川省,3390,Under Abies and Picea forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01912929.jpg,,,,,,,,,, +糙毛黄鹌菜,Youngia pilifera,Hopinson,449,19300619,甘肃省,2500,Under the rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/01691397.jpg,,,,,,,,,, +,Youngia pilifera,彭玉兰、涂卫国、幸福,Gaoxf496,20080721,四川,3380,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0204462.jpg,,,,,,,,,, +,Youngia terminalis,,,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042990.jpg,,,,,,,,,, +光黄鹌菜,Youngia terminalis,桑植林科所,1148,,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI041864.jpg,,,,,,,,,, +,Youngia terminalis,赵佐成,88-1724,19880818,重庆市,1800,山坡 阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01320848.jpg,,,,,,,,,, +高山丫蕊花,Ypsilandra alpina,PE西藏考察队,7898,20180626,西藏自治区,3081~3206,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02331840.jpg,,,,,,,,,, +高山丫蕊花,Ypsilandra alpina,C.W.Wang,67111,19351000,云南省,2700,in meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/00593850.jpg,,,,,,,,,, +云南丫蕊花,Ypsilandra yunnanensis,关克俭,2437,19570804,新疆维吾尔自治区,,山坡,藤本,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00240243.jpg,,,,,,,,,, +云南丫蕊花,Ypsilandra yunnanensis,Forrest,12055,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00020706.jpg,,,,,,,,,, +云南丫蕊花,Ypsilandra yunnanensis,"应俊生,洪德元",650829,19650802,西藏自治区,4170,高山灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00622535.jpg,,,,,,,,,, +滇藏玉兰,Yulania campbellii,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201282,20200726,西藏,2309,农田边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1504592.jpg,,,,,,,,,, +,Yushania farcticaulis,张宪智,ZXZ11025,20110516,云南省,2420,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252996.jpg,,,,,,,,,, +石棉玉山竹,Yushania lineolata,张宪智,ZXZ11059,20110621,四川省,2800,沟边,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252842.jpg,,,,,,,,,, +石棉玉山竹,Yushania lineolata,王雪芹,WXQ053,20111109,云南省,3089,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252945.jpg,,,,,,,,,, +,Yushania lineolata,王乾、顾健,SCW2138,20200609,四川,2750,,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274425.jpg,,,,,,,,,, +长鞘玉山竹,Yushania longissima,张宪智,ZLN-2011124,20110504,福建省,2158,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1253049.jpg,,,,,,,,,, +长鞘玉山竹,Yushania longissima,郭惠珠,B004,20151014,福建,,一片小竹林,,无花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0005924.jpg,,,,,,,,,, +紫花玉山竹,Yushania violascens,王雪芹,WXQ058,20111112,云南省,2367,沿路山坡,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252921.jpg,,,,,,,,,, +紫花玉山竹,Yushania violascens,伊廷双,孟静,杨杨,MJ-480,20070906,云南,1548,山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1404855.jpg,,,,,,,,,, +,Yushania violascens,,,,,,,,,,,,,,,,,,, +竹扫子,Yushania weixiensis,王雪芹,WXQ057,20111111,云南省,3602,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1252928.jpg,,,,,,,,,, +竹扫子,Yushania weixiensis,曹铁如,821119,,湖南省,,,,无花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI043606.jpg,,,,,,,,,, +,Yushania xizangensis,,,,,,,,,,,,,,,,,,, +角果藻,Zannichellia palustris,徐粹新,30,1984.4.2,河南省,500,,,无花无果,https://image.cvh.ac.cn/files/l/HENU/1003122.jpg,,,,,,,,,, +角果藻,Zannichellia palustris,张明理,94070,1994/7/9,西藏,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0477970.jpg,,,,,,,,,, +,Zannichellia palustris,D.E.Boufford et al.,39374,20070810,四川省,3715,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01950084.jpg,,,,,,,,,, +马蹄莲,Zantedeschia aethiopica,刘正宇,15351,19960317,重庆市,630,栽培于水沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01437124.jpg,,,,,,,,,, +马蹄莲,Zantedeschia aethiopica,倪芝瑜,苏燕枚,10492,19820312,广西壮族自治区,,荫棚,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0037264.jpg,,,,,,,,,, +马蹄莲,Zantedeschia aethiopica,T.N.Liou,11605,19400228,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01437123.jpg,,,,,,,,,, +墨脱花椒,Zanthoxylum motuoense,青藏队植被组,3109,19740907,西藏自治区,1100,山坡 凹地,乔木,无花有果,https://image.cvh.ac.cn/files/l/PE/01491041.jpg,,,,,,,,,, +墨脱花椒,Zanthoxylum motuoense,"郭永杰, 王雨华, 杨立新, 李姗",18CS16895,20180510,西藏,1194,村边山坡,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484936.jpg,,,,,,,,,, +,Zephyranthes candida,王清江,631,19560927,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/003231.jpg,,,,,,,,,, +葱莲,Zephyranthes candida,李惠茹、王樟华、闫小玲、严靖,RQHD00666,20140831,安徽省,120,河道内,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0092097.jpg,,,,,,,,,, +葱莲,Zephyranthes candida,中德釆集队,2128,19591117,海南省,0~45,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0638416.jpg,,,,,,,,,, +韭莲,Zephyranthes carinata,柳江县普查队,450221190721009LY,20190721,广西,237,灌丛,阳坡,黄棕壤;一般;栽培,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00426116.jpg,,,,,,,,,, +,Zephyranthes carinata,C.C.Liang,12194,19360708,广东,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0051631.jpg,,,,,,,,,, +韭莲,Zephyranthes carinata,Chiang Ying,,19260804,江苏省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/040024082.jpg,,,,,,,,,, +,Zeuxine agyokuana,,,,,,,,,,,,,,,,,,, +,Zeuxine flava,,,,,,,,,,,,,,,,,,, +,Zeuxine goodyeroides,Xiaohua Jin et Zhanghai Li,16647,20150820,云南省,2400,evergreen broadleaf forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233145.jpg,,,,,,,,,, +,Zeuxine goodyeroides,金效华,2121,20011200,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01989181.jpg,,,,,,,,,, +白肋线柱兰,Zeuxine goodyeroides,郭永杰,李涟漪,聂细转,12CS5078,20121209,云南,2288,常绿阔叶林下,二年生草本,,https://image.cvh.ac.cn/files/l/KUN/1394395.jpg,,,,,,,,,, +,Zeuxine lindleyana,,,,,,,,,,,,,,,,,,, +,Zeuxine longilabris,,,,,,,,,,,,,,,,,,, +芳线柱兰,Zeuxine nervosa,金效华,8901,20070228,海南,974,Epiphytic on limestone area,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825414.jpg,,,,,,,,,, +芳线柱兰,Zeuxine nervosa,中越考察队,2699,19650228,葵州,0,石灰山石缝,,有花无果,https://image.cvh.ac.cn/files/l/KUN/434463.jpg,,,,,,,,,, +芳线柱兰,Zeuxine nervosa,J.K.Sikdar,4405,19760228,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0658001.jpg,,,,,,,,,, +白花线柱兰,Zeuxine parvifolia,深圳考察队,2023,19971014,广东省,600,,,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00110017.jpg,,,,,,,,,, +白花线柱兰,Zeuxine parvifolia,李剑武,4521,20160308,云南,750,胶地下,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029014.jpg,,,,,,,,,, +白花线柱兰,Zeuxine parvifolia,黄颖锋、陆萃红,23736,20100914,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0036007.jpg,,,,,,,,,, +线柱兰,Zeuxine strateumatica,S.Saito,7914,19270417,台湾省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/93485.jpg,,,,,,,,,, +线柱兰,Zeuxine strateumatica,N.K.Chun,41766,19301001,香港,,Ravine side,,无花无果,https://image.cvh.ac.cn/files/l/PE/00805497.jpg,,,,,,,,,, +线柱兰,Zeuxine strateumatica,Jin Xiaohua,11820,20111031,云南省,1500,subtropical evergreen forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032988.jpg,,,,,,,,,, +,Zingiber arunachalensis,,,,,,,,,,,,,,,,,,, +,Zingiber campanulatum,,,,,,,,,,,,,,,,,,, +,Zingiber capitatum,,,,,,,,,,,,,,,,,,, +,Zingiber caudatum,,,,,,,,,,,,,,,,,,, +,Zingiber chrysanthum,,,,,,,,,,,,,,,,,,, +,Zingiber cornigerum,,,,,,,,,,,,,,,,,,, +紫色姜,Zingiber purpureum,蔡杰,张挺,13CS7248,20131019,云南,640,路边杂木林林缘,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1391036.jpg,,,,,,,,,, +紫色姜,Zingiber purpureum,思茅区普查队,5308020818,20120622,云南省,1331,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0023411.jpg,,,,,,,,,, +红冠姜,Zingiber roseum,"方鼎,黄桂兴,林刚",78406,19830920,,860,,,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI029899.jpg,,,,,,,,,, +红冠姜,Zingiber roseum,植物DNA条形码滇东南考察队,GBOWS187,20100108,云南省,1400,路边,,,https://image.cvh.ac.cn/files/l/KUN/1275935.jpg,,,,,,,,,, +,Zingiber roseum,,0,1938,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0049317.jpg,,,,,,,,,, +,Zingiber rubens,弄岗综考队,20518,19791015,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00185091.jpg,,,,,,,,,, +红球姜,Zingiber zerumbet,Tsang and fung,435,19290707,海南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00076086.jpg,,,,,,,,,, +红球姜,Zingiber zerumbet,张代贵、李晓腾,70716091,20070716,广东湛江,,林下阴湿处,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU68112.jpg,,,,,,,,,, +红球姜,Zingiber zerumbet,张挺,谭运洪等,SCSB-B-000295,20061122,云南,543,池塘边坡地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1391047.jpg,,,,,,,,,, +,Ziziphus montana,G. Forrest,10372,13-Jul,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00051543.jpg,,,,,,,,,, +山枣,Ziziphus montana,徐朗然,262,19820610,西藏自治区,2300,河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01637297.jpg,,,,,,,,,, +山枣,Ziziphus montana,张贵志 田径,1110075,20111030,江西省,240,丹霞顶部,灌木,无花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI050344.jpg,,,,,,,,,, +蜀枣,Ziziphus xiangchengensis,横断山植物组,4753,19830801,四川省,2750,干旱河谷灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045231.jpg,,,,,,,,,, +蜀枣,Ziziphus xiangchengensis,余奇,郑臣臣,苏翠萍,胡苏,CIBYQ013,20180731,四川,2546,,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1502001.jpg,,,,,,,,,, +,saussurea spatulifolia,"Delavay, J.M.",2101,1886-8-14,,,,,,https://image.cvh.ac.cn/files/l/P/P00602912.jpg,,,,,,,,,, +,saussurea spatulifolia,"E.V. Raab-Straube,M. Smalla & H. Sun",908,20000914,云南,4300,"On S-exposed, moving scree, marble",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498343.jpg,,,,,,,,,, +,saussurea spatulifolia,FLPH Sichuan Expedition,151640,20150830,四川省,4500,岩石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02084667.jpg,,,,,,,,,, +,× Agropogon lutosus,,,,,,,,,,,,,,,,,,, +,Acer acuminatum,H.Ohba etc.,8311073,19830806,,0,,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0190066.jpg,,,,,,,,,, +,Acer acuminatum,西藏队,56,19751023,西藏自治区,3100,山脊东北坡阴处密林中野生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01612936.jpg,,,,,,,,,, +深灰槭,Acer caesium,,,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0412644.jpg,,,,,,,,,, +深灰槭,Acer caesium,谭少林,YLDP002D,20140509,云南,,无,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1453942.jpg,,,,,,,,,, +太白深灰槭,Acer caesium,任宪威,,19780101,西藏,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00021096.jpg,,,,,,,,,, +藏南枫,Acer campbellii,张林、李星月、张晓严,2-367,20180618,西藏,2772,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023785.jpg,,,,,,,,,, +藏南槭,Acer campbellii,"H.Hara,S.Kurosawa",13292,19670511,,2000,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261040.jpg,,,,,,,,,, +藏南槭,Acer campbellii,M.K.Li,772,1933/10/21,云南,2000,,tree,有花无果,https://image.cvh.ac.cn/files/l/WUK/0245995.jpg,,,,,,,,,, +,Acer campbellii var. serratifolium,B.Bartholomew & T.Y.Tse,1694,19840516,,3050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01700940.jpg,,,,,,,,,, +,Acer campbellii var. serratifolium,青藏队,6031,19750628,西藏自治区,2600,针阔叶混交林,,有花有果,https://image.cvh.ac.cn/files/l/PE/00898774.jpg,,,,,,,,,, +,Acer campbellii var. serratifolium,毛品一,61,19560708,云南省,2380,山谷峻坡河旁疏林,,有花有果,https://image.cvh.ac.cn/files/l/PE/00898731.jpg,,,,,,,,,, +小叶青皮槭,Acer cappadocicum,郭本兆,1343,1952/6/14,陕西,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0062951.jpg,,,,,,,,,, +小叶青皮槭,Acer cappadocicum,,K.783,,河北省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0412759.jpg,,,,,,,,,, +小叶青皮槭,Acer cappadocicum,刘正宇,2033268,20030725,贵州,1300,杂林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0097002.jpg,,,,,,,,,, +小叶青皮槭,Acer cappadocicum subsp. sinicum,吴金清,马小业,姚其伟,5322,20050529,湖北,510,,乔木,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0186281.jpg,,,,,,,,,, +小叶青皮槭,Acer cappadocicum subsp. sinicum,刘正宇,2033268,20030725,贵州,1300,杂林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0097002.jpg,,,,,,,,,, +,Acer cappadocicum subsp. sinicum,何海、李亦可、杜阳平,DY0509,20190502,四川,1260,,乔木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0269854.jpg,,,,,,,,,, +长尾槭,Acer caudatum,C.S.Chang et al.,SI0987,20100702,四川省,3056,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01924414.jpg,,,,,,,,,, +长尾槭,Acer caudatum,刘瑛,568,19570528,湖北省,,灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00899121.jpg,,,,,,,,,, +长尾槭,Acer caudatum,肖定春,80254,19800516,湖南省,2000,林中,落叶乔,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI025169.jpg,,,,,,,,,, +青榨槭,Acer davidii,陈少卿,14895,1958/7/11,广西,300,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0211464.jpg,,,,,,,,,, +青榨槭,Acer davidii,"川西队,关克俭,王文采等",2927,19630907,四川省,3000,山坡冷杉林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092532.jpg,,,,,,,,,, +青榨枫,Acer davidii,,LYP06-9048,20151006,江西萍乡,,山地疏林,落叶乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU68514.jpg,,,,,,,,,, +扇叶槭,Acer flabellatum,北京队,4418,19880901,湖南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01561303.jpg,,,,,,,,,, +扇叶槭,Acer flabellatum,红广渝,4101,20100731,四川省,1980,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059479.jpg,,,,,,,,,, +,Acer flabellatum,李策宏,358,19970605,四川,,灌木林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00612707.jpg,,,,,,,,,, +光叶枫,Acer laevigatum,张代贵、王业清、朱小琴,1615,20170529,湖北宜昌,820,针阔混交林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/HHE07073.jpg,,,,,,,,,, +光叶槭,Acer laevigatum,李宏庆等,SDP02725,20110616,上海市,,植物园,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0062283.jpg,,,,,,,,,, +光叶枫,Acer laevigatum,,524,19200504,安徽省,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/101116244.jpg,,,,,,,,,, +十蕊槭,Acer laurinum,容县普查队,450921181027001LY,20181027,广西,1011.8,阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0204847.jpg,,,,,,,,,, +,Acer laurinum,Tsang.Wai-Tak,17832,19280610,海南省,,growing on dry ground in a forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/00926920.jpg,,,,,,,,,, +,Acer laurinum,"李渤生,程树志",4581,19830510,西藏自治区,700~800,半常绿雨 林下常见小乔,,有花有果,https://image.cvh.ac.cn/files/l/PE/00888561.jpg,,,,,,,,,, +叶槭,Acer negundo,方文培,12074,19380404,四川省,0,,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0192570.jpg,,,,,,,,,, +梣叶槭,Acer negundo,徐粹新,57,1954.04.,江苏,1500,,,有花有果,https://image.cvh.ac.cn/files/l/HENU/0250510.jpg,,,,,,,,,, +梣叶槭,Acer negundo,黄土队(晋),4078,1984/9/25,内蒙,1700,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0453870.jpg,,,,,,,,,, +飞蛾树,Acer oblongum,张代贵,zdg6306,20120920,湖北神农架林区,,阔叶林中,常绿乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU33960.jpg,,,,,,,,,, +飞蛾槭,Acer oblongum,贵州队,6654,1960/7/17,贵州,1200,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0221738.jpg,,,,,,,,,, +飞蛾槭,Acer oblongum,刘林翰,15507,1962/11/12,湖南,350,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0250263.jpg,,,,,,,,,, +篦齿枫,Acer pectinatum,张林、李星月、张晓严,1-214,20180615,西藏,2814,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023807.jpg,,,,,,,,,, +篦齿槭,Acer pectinatum,谭少林,YLDP082D,20140627,云南,,无,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1449997.jpg,,,,,,,,,, +篦齿槭,Acer pectinatum,S.Akiyama et al.,20100340,20010519,,2720,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01323475.jpg,,,,,,,,,, +,Acer pectinatum subsp. taronense,"Wilson, Ernest Henry",1927,8-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00275969.jpg,,,,,,,,,, +,Acer pectinatum subsp. taronense,金效华,1181,20080702,云南省,2900,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967768.jpg,,,,,,,,,, +大翅色木槭,Acer pictum subsp. macropterum,高信芬、郑臣臣,THP-KD-0328,20170427,四川,3932,,高大乔木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250961.jpg,,,,,,,,,, +,Acer pictum subsp. macropterum,F.T.Wang,21359,19300618,陕西省,3200,in thicket,,有花有果,https://image.cvh.ac.cn/files/l/PE/00926975.jpg,,,,,,,,,, +,Acer pictum subsp. macropterum,毕节队,627,19590802,贵州省,1900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01701423.jpg,,,,,,,,,, +,Acer pictum subsp. mono,王小平,39,19810520,湖南省,700,山地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00908557.jpg,,,,,,,,,, +,Acer pictum subsp. mono,白水江采集队,5375,20070521,甘肃,2410,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01821998.jpg,,,,,,,,,, +五角枫,Acer pictum subsp. mono,余奇,代文台,CIBYQ087B004,20190812,四川,3138,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1502631.jpg,,,,,,,,,, +,Acer pinnatinervium,,,,,,,,,,,,,,,,,,, +,Acer pubipetiolatum,T. T. Yu,17284,1938/8/8,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00050467.jpg,,,,,,,,,, +毛柄槭,Acer pubipetiolatum,孙航等,5193,19930415,西藏自治区,1800,in forest,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0193025.jpg,,,,,,,,,, +毛柄槭,Acer pubipetiolatum,刘恩德,方伟等,3562,20120323,云南省 ,2293,in forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1228501.jpg,,,,,,,,,, +细齿锡金槭,Acer sikkimense,张襄明,33,19580813,陕西省,1400,山沟山坡上,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00274837.jpg,,,,,,,,,, +锡金枫,Acer sikkimense,魏来、何毅,BNUXZ2016465,20160730,西藏,3200,山坡林缘,,,https://image.cvh.ac.cn/files/l/BNU/0028113.jpg,,,,,,,,,, +锡金槭,Acer sikkimense,川经植,1280,19590716,四川省,2300,山坡 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00909383.jpg,,,,,,,,,, +,Acer stachyophyllum,"Henry, A.",8799,,,,,,,https://image.cvh.ac.cn/files/l/P/P00731638.jpg,,,,,,,,,, +毛叶槭,Acer stachyophyllum,PE西藏考察队,7994,20180627,西藏自治区,2864,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333148.jpg,,,,,,,,,, +四蕊枫,Acer stachyophyllum,张代贵,王业清,朱晓琴,"zdg,wyq,zxq0430",20170423,湖北宜昌,1504,阔叶林中,乔木,有花有果,https://image.cvh.ac.cn/files/l/JIU/HHE01206.jpg,,,,,,,,,, +,Acer stachyophyllum subsp. betulifolium,D.E.Boufford et al.,37732,20070519,甘肃省,2320~2725,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814849.jpg,,,,,,,,,, +,Acer stachyophyllum subsp. betulifolium,D.E.Boufford et al.,37732,20070519,甘肃,2320~2725,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814849.jpg,,,,,,,,,, +,Acer stachyophyllum subsp. betulifolium,谭少林,YLDP149A,20140627,云南,,无,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444204.jpg,,,,,,,,,, +苹婆槭,Acer sterculiaceum,B.Bartholomew & T.Y.Tse,1691,19840516,,2900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01701958.jpg,,,,,,,,,, +房县槭,Acer sterculiaceum,安明态,NY-0436,20120705,贵州省,2110,沟谷林中,,无花有果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0031132.jpg,,,,,,,,,, +房县枫,Acer sterculiaceum,张代贵,王业清,朱晓琴,"zdg,wyq,zxq0425",20170423,湖北宜昌,1467,阔叶林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE00568.jpg,,,,,,,,,, +巨果槭,Acer thomsonii,中苏调查团,5568,19550504,云南省,2160,疏林中 润湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/00926857.jpg,,,,,,,,,, +巨果槭,Acer thomsonii,刘成;冯明建;李昌洪;赵金超,21CS20308,20210323,云南,2026,常绿阔叶林林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1551122.jpg,,,,,,,,,, +粗柄枫,Acer tonkinense, ,10006,,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00153552.jpg,,,,,,,,,, +粗柄槭,Acer tonkinense,Anonymous,6,197308,广西壮族自治区,600,石灰岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01999276.jpg,,,,,,,,,, +广西槭,Acer tonkinense, ,76341,,海南省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00153553.jpg,,,,,,,,,, +滇藏枫,Acer wardii,和旭、白洪兵,533324180519297LY,20180519,云南,2743,,乔木,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009297.jpg,,,,,,,,,, +滇藏槭,Acer wardii,"Jin Xh,Wang LS,Wang Q et al.",ST2210,20130805,云南省,2000~3400,apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01978680.jpg,,,,,,,,,, +滇藏槭,Acer wardii,,,,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0436798.jpg,,,,,,,,,, +三峡槭,Acer wilsonii,"聂敏祥,赖书坤",2818,19580606,江西省,,大森林中较阴地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00933045.jpg,,,,,,,,,, +三峡槭,Acer wilsonii,广福林区队,1097,19551102,广西壮族自治区,,水旁 山谷 路旁 阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01470553.jpg,,,,,,,,,, +三峡枫,Acer wilsonii,张代贵,YH130915541,20130915,湖北神农架,,林中路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU44541.jpg,,,,,,,,,, +羽叶花,Acomastylis elata,K.Paulson,223,19910526,布赖顿码头,4390,Elevation,,有花无果,https://image.cvh.ac.cn/files/l/KUN/716394.jpg,,,,,,,,,, +羽叶花,Acomastylis elata,王作宾,15148,19510726,甘肃省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/678037.jpg,,,,,,,,,, +光果羽叶花,Acomastylis elata,T.P.Wang,1841,19330805,陕西省,3700,on damp summit,,有花无果,https://image.cvh.ac.cn/files/l/PE/00549703.jpg,,,,,,,,,, +矮生羽叶花,Acomastylis elata var. humilis,Mark Hoefs,195,19730424,墨西哥,800,"Canyon,west fork.",,有花无果,https://image.cvh.ac.cn/files/l/KUN/659869.jpg,,,,,,,,,, +矮生羽叶花,Acomastylis elata var. humilis,杨永昌,1201,19660918,青海省,4550,灌丛下阴坡流水线阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00561927.jpg,,,,,,,,,, +矮生羽叶花,Acomastylis elata var. humilis,,76-276,19760704,西藏自治区,4400,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00561928.jpg,,,,,,,,,, +大萼羽叶花,Acomastylis macrosepala,,75-1710,19750910,西藏自治区,4000,杜鹃灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00560664.jpg,,,,,,,,,, +,Acomastylis macrosepala,高信芬,焦瑞芳,夏晨曦,GAOXF-17499,20200729,西藏,4167.17,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262976.jpg,,,,,,,,,, +高峰乌头,Aconitum alpinonepalense,西藏中草药普查队,1750,19720903,西藏自治区,4100,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865475.jpg,,,,,,,,,, +,Aconitum assamicum,,,,,,,,,,,,,,,,,,, +,Aconitum basitruncatum,西藏生物所,4025,19830916,西藏自治区,3200,河边灌丛林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02068014.jpg,,,,,,,,,, +展花乌头,Aconitum chasmanthum,J.F.Duthie,23297,1999-07-,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081042.jpg,,,,,,,,,, +腺毛加查乌头,Aconitum chiachaense var. glandulosum,,1955,19760918,西藏自治区,4400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01956824.jpg,,,,,,,,,, +毛果乾宁乌头,Aconitum chienningense var. lasiocarpum,青藏队,4635,19740912,西藏自治区,3000,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00025177.jpg,,,,,,,,,, +,Aconitum elliotii var. doshongense,,,,,,,,,,,,,,,,,,, +光梗墨脱乌头,Aconitum elliotii var. glabrescens,"李渤生,程树志",514,19820903,西藏自治区,3150,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00243452.jpg,,,,,,,,,, +毛瓣墨脱乌头,Aconitum elliotii var. pilopetalum,西藏生物所植物资源队,3623,19830818,西藏自治区,3500~3800,灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/00243456.jpg,,,,,,,,,, +藏南藤乌,Aconitum elwesii,西藏中草药普查队,1618,19720829,西藏自治区,3250,灌木林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00243457.jpg,,,,,,,,,, +藏南藤乌,Aconitum elwesii,Ikeda,714061,20070815,甘肃,3120,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00022244.jpg,,,,,,,,,, +,Aconitum elwesii,"Forrest, George",4372,6-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00386228.jpg,,,,,,,,,, +,Aconitum ferox,G.Sengupta,1716,1965-08-,,3100,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081057.jpg,,,,,,,,,, +,Aconitum ferox,"李渤生,程树志等",14004,19901007,西藏自治区,2800,常绿阔叶林下常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859250.jpg,,,,,,,,,, +伏毛铁棒锤,Aconitum flavum,科学院黄河队 甘一队,2238,1956/8/8,甘肃省 ,,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0081924.jpg,,,,,,,,,, +伏毛铁棒锤,Aconitum flavum,陈世龙,高庆波,张发起等,ChenSL1105,20100819,青海,4240,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1230949.jpg,,,,,,,,,, +伏毛铁棒锤,Aconitum flavum,PE-Xizang Expedition,PE5502,20170831,西藏自治区,4460,Alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293678.jpg,,,,,,,,,, +独花乌头,Aconitum fletcherianum,郭本兆,??,1970???,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/23707.jpg,,,,,,,,,, +,Aconitum gammiei,青藏队补点组,751936,19750910,西藏自治区,3800,"山谷,灌丛中",,有花无果,https://image.cvh.ac.cn/files/l/PE/00308750.jpg,,,,,,,,,, +,Aconitum haridasanii,,,,,,,,,,,,,,,,,,, +瓜叶乌头,Aconitum hemsleyanum,"杨亲二,袁琼",Yangqe2089,20080729,云南省,3000,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032576.jpg,,,,,,,,,, +瓜叶乌头,Aconitum hemsleyanum,青藏队补点组,751167,19750803,西藏自治区,2870,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00308108.jpg,,,,,,,,,, +瓜叶乌头,Aconitum hemsleyanum,赵鑫磊,,20110928,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109144.jpg,,,,,,,,,, +,Aconitum hemsleyanum var. xizangense,,,,,,,,,,,,,,,,,,, +同戛乌头,Aconitum hicksii,F.Ludlow et al.,17224,19490904,,4667,Growing amongst rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/00025247.jpg,,,,,,,,,, +同戛乌头,Aconitum hicksii,"夏光成,米泰康",413,19600925,西藏自治区,3250,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00308225.jpg,,,,,,,,,, +,Aconitum hookeri,陈家瑞,92215,19920916,西藏自治区,5600,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859203.jpg,,,,,,,,,, +,Aconitum hookeri,罗艳,383,20010902,四川省,4000,林下沟边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859185.jpg,,,,,,,,,, +,Aconitum hookeri,"Soulié, J.A.",2392,1894-8-20,,,,,,https://image.cvh.ac.cn/files/l/P/P00201833.jpg,,,,,,,,,, +展毛工布乌头,Aconitum kongboense var. villosum,D.E.Boufford et al.,36038,20060808,四川省,4140,"Dry,stony slope",,有花无果,https://image.cvh.ac.cn/files/l/PE/01459352.jpg,,,,,,,,,, +展毛工布乌头,Aconitum kongboense var. villosum,,412,19600925,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00308347.jpg,,,,,,,,,, +展毛工布乌头,Aconitum kongboense var. villosum,张昌兵,ZhangCB0022,20081017,四川,3521,宽谷平坝草甸,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231255.jpg,,,,,,,,,, +,Aconitum laeve,J.F.Duthie,19112,18960815,,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/038845.jpg,,,,,,,,,, +,Aconitum lethale,,,,,,,,,,,,,,,,,,, +保山乌头,Aconitum nagarum,蔡希陶,59051,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00054783.jpg,,,,,,,,,, +,Aconitum nagarum,金效华、王利松、刘恩德、张钢民,293,20020918,四川,2800~3000,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0098514.jpg,,,,,,,,,, +保山乌头,Aconitum nagarum,"杨亲二,孔宏智",98-442,19980920,云南省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865498.jpg,,,,,,,,,, +,Aconitum nagarum var. acaule,"罗艳,陈又生",550,20020905,四川省,2750~2800,灌丛间,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865468.jpg,,,,,,,,,, +,Aconitum nagarum var. acaule,"杨亲二,孔宏智",98-468,19980927,云南省,2750~2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865467.jpg,,,,,,,,,, +,Aconitum nagarum var. acaule,,6048,0,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/160400.jpg,,,,,,,,,, +,Aconitum namlaense,,,,,,,,,,,,,,,,,,, +船盔乌头,Aconitum naviculare,杨竞生,90-565,1990-09-,西藏省,4300,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081259.jpg,,,,,,,,,, +船盔乌头,Aconitum naviculare,张艺,2001204,20010819,四川,5700,高山乱石滩,,有花无果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0000627.jpg,,,,,,,,,, +船盔乌头,Aconitum naviculare,PE西藏队,PE5255,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309260.jpg,,,,,,,,,, +,Aconitum novoaxillare,青藏队,10718,19820926,西藏自治区,3800,山坡Alies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068017.jpg,,,,,,,,,, +展喙乌头,Aconitum novoluridum,F.Miyamoto etc.,9584268,19950827,,3480,slope meadow,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1225143.jpg,,,,,,,,,, +展喙乌头,Aconitum novoluridum,FLPH Tibet Expedition,12-1978,,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957867.jpg,,,,,,,,,, +展喙乌头,Aconitum novoluridum,罗建,汪书丽,LiuJQ-08XZ-193,20080804,西藏,4109,路边山坡草甸,,花标本,https://image.cvh.ac.cn/files/l/KUN/1231267.jpg,,,,,,,,,, +,Aconitum palmatum,t.g.li,80,19251010,河北省,0~20,,,有花有果,https://image.cvh.ac.cn/files/l/N/091048067.jpg,,,,,,,,,, +铁棒锤,Aconitum pendulum,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-2046,20080927,西藏,4047,高山草甸,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231284.jpg,,,,,,,,,, +铁棒锤,Aconitum pendulum,蔡杰,张挺,刘成等,10CS2519,20100922,甘肃,2418,路边灌草丛,,花标本,https://image.cvh.ac.cn/files/l/KUN/1231272.jpg,,,,,,,,,, +铁棒锤,Aconitum pendulum,杨竞生,90-426,1990-08-,西藏省,4800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081276.jpg,,,,,,,,,, +美丽乌头,Aconitum pulchellum,C.W.Wang,65630,19350800,云南省 ,3500,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00051015.jpg,,,,,,,,,, +,Aconitum pulchellum,J.F. Rock,17245,28-Sep,,3700,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00066604.jpg,,,,,,,,,, +美丽乌头,Aconitum pulchellum,,,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00066627.jpg,,,,,,,,,, +毛瓣美丽乌头,Aconitum pulchellum var. hispidum,青藏队,73-1196,19730822,西藏自治区,4620,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00309019.jpg,,,,,,,,,, +毛瓣美丽乌头,Aconitum pulchellum var. hispidum,中甸队,1730,19620831,云南省,4000~4100,杜鹃灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00308998.jpg,,,,,,,,,, +伏毛直序乌头,Aconitum richardsonianum var. pseudosessiliflorum,熊安东,xad2013011-(1),20130824,西藏自治区,4665,山坡溪水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981465.jpg,,,,,,,,,, +亚东乌头,Aconitum spicatum,青藏队植被组,6616,19750806,西藏自治区,4200,高山草甸 谷地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957339.jpg,,,,,,,,,, +显柱乌头,Aconitum stylosum,段在贤,密得生,杨海,李永元,BSGLGSly1038,20111017,云南,3140,高山草甸,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231324.jpg,,,,,,,,,, +显柱乌头,Aconitum stylosum,Monbeig,,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00066632.jpg,,,,,,,,,, +显柱乌头,Aconitum stylosum,Q.E.Yang and Q.Yuan,56,20030820,云南省,4100,in forest on stream side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01349727.jpg,,,,,,,,,, +甘青乌头,Aconitum tanguticum,"D.E.Boufford,J.H.Chen,S.L.Kelley",31951,20040810,西藏自治区,4570~4850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993760.jpg,,,,,,,,,, +甘青乌头,Aconitum tanguticum,陈世龙,张得钧,高庆波,张发起,ChenSL0068,20080724,青海,4400,高寒草甸,,花标本,https://image.cvh.ac.cn/files/l/KUN/1231335.jpg,,,,,,,,,, +甘青乌头,Aconitum tanguticum,青海队,1099,19580000,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859217.jpg,,,,,,,,,, +,Aconitum tawangense,,,,,,,,,,,,,,,,,,, +,Aconitum tsariense,,,,,,,,,,,,,,,,,,, +类叶升麻,Actaea asiatica,青藏队,6611,19820530,云南省,2700,山坡针阔混交林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073180.jpg,,,,,,,,,, +类叶升麻,Actaea asiatica,石硕,SZ3633,20140722,河北省,1705,水边草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044129.jpg,,,,,,,,,, +类叶升麻,Actaea asiatica,刘翔,2067619,20060729,重庆,1600,山地杂木林下,草本,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0060133.jpg,,,,,,,,,, +,Actaea frigida,,,,,,,,,,,,,,,,,,, +,Actaea mairei var. foliolosa,"Fang, W.P.",4311,21 August 1898,,,,,,https://image.cvh.ac.cn/files/l/E/E00386221.jpg,,,,,,,,,, +,Actaea spicata var. acuminata,,,,,,,,,,,,,,,,,,, +,Actaea vaginata,,,,,,,,,,,,,,,,,,, +毛喜光花,Actephila excelsa,盛才余,C400717,20160627,云南,570,"引种号:20091653,C40",灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026723.jpg,,,,,,,,,, +毛喜光花,Actephila excelsa,中越考察队,1684,19650124,葵州,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00163391.jpg,,,,,,,,,, +毛喜光花,Actephila excelsa,G. Edano,,29-Oct,"Luzon, Cagayan Provi",,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00038162.jpg,,,,,,,,,, +盒子草,Actinostemma tenerum,马毓泉,41,19800822,内蒙古自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/HIMC/0036175.jpg,,,,,,,,,, +盒子草,Actinostemma tenerum,杨人俊,1019,,江苏省南京市,,,,有花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF006740.jpg,,,,,,,,,, +盒子草,Actinostemma tenerum,荔浦县普查队,450331180822005LY,20180822,广西,126,灌丛,沟边,石灰土,多野生,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00415526.jpg,,,,,,,,,, +,Adenia cordifolia,A.D.Elmer,21350,Sep-33,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0100829.jpg,,,,,,,,,, +,Adenia trilobata,冯国楣,20752,19580506,云南省,0,平原,灌木丛中,无荫,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0489757.jpg,,,,,,,,,, +小侧金盏花,Adonis aestivalis,"刘成, 张挺, 李昌洪, 熊晓强",16CS12448,20160611,新疆,1129,石质山坡绣线菊灌丛下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1448292.jpg,,,,,,,,,, +夏侧金盏花、阿斯替娃金盏花,Adonis aestivalis,,,19280525,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00009288.jpg,,,,,,,,,, +小侧金盏花,Adonis aestivalis,周太炎,650422,1965-05-,新疆省,860,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081652.jpg,,,,,,,,,, +,Adonis aestivalis var. parviflora,"周太炎,郭荣麟",650422,19650517,新疆维吾尔自治区,860,苗圃叶草,,有花无果,https://image.cvh.ac.cn/files/l/PE/00382262.jpg,,,,,,,,,, +小侧金盏花,Adonis aestivalis var. parviflora,"刘成, 张挺, 李昌洪, 熊晓强",16CS12448,20160611,新疆,1129,石质山坡绣线菊灌丛下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1448292.jpg,,,,,,,,,, +小侧金盏花,Adonis aestivalis var. parviflora,周太炎,650422,1965-05-,新疆省,860,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081652.jpg,,,,,,,,,, +短柱侧金盏花,Adonis davidii,方震东、谢爱芳、海仙、李红,DJDC-581,20160623,云南省,4015,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000051.jpg,,,,,,,,,, +宝兴侧金盏花,Adonis davidii,陈伟烈等,5731,19840601,四川省,2820,开旷杂木林下草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377124.jpg,,,,,,,,,, +宝兴侧金盏花,Adonis davidii,白龙江考察队,1205,19990523,甘肃省,1800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556471.jpg,,,,,,,,,, +长柄七叶树,Aesculus assamica,云南二队,274,19670500,云南省,600,石灰山沟谷残林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01371512.jpg,,,,,,,,,, +滇南七叶树,Aesculus assamica,彭志仙,YN3124,20070416,云南,700~900,山脚;林中,乔木,有花有果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0005851.jpg,,,,,,,,,, +长柄七叶树,Aesculus assamica,G.Forrest,9804,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0410765.jpg,,,,,,,,,, +,Aganope polystachya,,,,,,,,,,,,,,,,,,, +龙芽草,Agrimonia pilosa,"朱鑫鑫, 王金丹, 林庶, 刘晴, 梁俊生",ZXX18302,20180917,河南,610,亚热带常绿阔叶林路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1453745.jpg,,,,,,,,,, +龙芽草,Agrimonia pilosa,T.N. Liou,9003,1936/7/23,江苏,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0031205.jpg,,,,,,,,,, +龙牙草,Agrimonia pilosa,闽西队,84224,1958/9/11,福建,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0207246.jpg,,,,,,,,,, +黄龙尾,Agrimonia pilosa var. nepalensis,郭本兆,9548,19710822,青海省,0,林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0110387.jpg,,,,,,,,,, +黄龙尾,Agrimonia pilosa var. nepalensis,赵常明等,EX2509,20090728,湖北省,1150,路旁草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01857284.jpg,,,,,,,,,, +黄龙尾,Agrimonia pilosa var. nepalensis,Y.Z. Sun,34,1929/9/9,江苏; KIANGSU,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00077188.jpg,,,,,,,,,, +,Akebia apetala,,,,,,,,,,,,,,,,,,, +楹树,Albizia chinensis,86级研究生,384,19870615,贵州,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00025800.jpg,,,,,,,,,, +楹树,Albizia chinensis,林来良,957,19340700,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00322050.jpg,,,,,,,,,, +楹树,Albizia chinensis,McClure,,,海南; HAINAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00079296.jpg,,,,,,,,,, +合欢,Albizia julibrissin,施诗等,JGS-2227,20101205,江西省吉安市,,,乔木,,https://image.cvh.ac.cn/files/l/SYS/SYS00176517.jpg,,,,,,,,,, +合欢,Albizia julibrissin,张志耘等,2014-157,20140520,江西省,850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015420.jpg,,,,,,,,,, +合欢,Albizia julibrissin,程云飞,187,19830806,辽宁,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00025809.jpg,,,,,,,,,, +,Albizia kalkora,马德跃,官有才,罗开宏,NJWLS924,20111025,云南,1158,山坡,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1318594.jpg,,,,,,,,,, +山合欢,Albizia kalkora,R.C. Ching,3141,,安徽; ANHWEI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00079385.jpg,,,,,,,,,, +山槐,Albizia kalkora,李际东,613,20040520,湖南省,350,山坡,红壤,光:中,湿度:中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710197.jpg,,,,,,,,,, +阔荚合欢,Albizia lebbeck,,20870,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01826727.jpg,,,,,,,,,, +阔荚合欢,Albizia lebbeck,叶华谷、邢福武,9213,20031118,澳门,0,,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0160461.jpg,,,,,,,,,, +阔荚合欢,Albizia lebbeck,夏骞,徐苑卿,XiaQ112A,20170226,海南,13,沙滩,山地,,无花有果,https://image.cvh.ac.cn/files/l/AU/AU067262.jpg,,,,,,,,,, +光叶合欢,Albizia lucidior,张代贵,YH980702907,19980702,云南西双版纳,,路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU44907.jpg,,,,,,,,,, +光叶合欢,Albizia lucidior,贵州队,399,19600327,贵州省,0~1000,,乔木,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0160488.jpg,,,,,,,,,, +光叶合欢,Albizia lucidior,张肇骞,10460,19571222,广西壮族自治区,0~800,,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0160481.jpg,,,,,,,,,, +毛叶合欢,Albizia mollis,朱水法,20502,19591007,四川省,1500,山下部,,无花有果,https://image.cvh.ac.cn/files/l/PE/00322554.jpg,,,,,,,,,, +毛叶合欢,Albizia mollis,北京所横断山队,1932,19810724,云南省,,金沙江南岸 干热河谷江边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01487567.jpg,,,,,,,,,, +毛叶合欢,Albizia mollis,李荫昆,P.01958,19570830,广西,,山坎疏林中阴处,乔木,直立,无花有果,https://image.cvh.ac.cn/files/l/GAC/GAC0010459.jpg,,,,,,,,,, +香须树,Albizia odoratissima,孙航,周浙昆,俞宏渊,153,19921008,西藏自治区,950,林中,小乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0599402.jpg,,,,,,,,,, +香合欢,Albizia odoratissima,Umrao Singh,328,19280605,,0~671,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0160671.jpg,,,,,,,,,, +香合欢,Albizia odoratissima,Y. Tsiang,983,1928/8/8,广东; KWANGTUNG,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00079431.jpg,,,,,,,,,, +黄豆树,Albizia procera,,1159,,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00079456.jpg,,,,,,,,,, +黄豆树,Albizia procera,海南调查队,813,19540000,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00377609.jpg,,,,,,,,,, +,Albizia procera,杨秀森,龙文兴,LWX10187,20130807,海南,130,热带季雨林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1318651.jpg,,,,,,,,,, +藏合欢,Albizia sherriffii,"李渤生,程树志",4070,19830414,西藏自治区,650,江边开阔地多见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074745.jpg,,,,,,,,,, +藏合欢,Albizia sherriffii,青藏队,9100,19820809,云南省,1300~1400,山坡次生林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00327263.jpg,,,,,,,,,, +藏合欢,Albizia sherriffii,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11995,20161120,西藏,1459,路边山坡,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445186.jpg,,,,,,,,,, +无毛羽衣草,Alchemilla glabra,P.Frost-Olsen,863,19770621,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01638195.jpg,,,,,,,,,, +无毛羽衣草,Alchemilla glabra,周太炎等,652060,19650808,新疆维吾尔自治区,2140,河边草地,,有花有果,https://image.cvh.ac.cn/files/l/KUN/636341.jpg,,,,,,,,,, +无毛羽衣草,Alchemilla glabra,P.Schonfelder,411,19750501,West-Germany,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/715990.jpg,,,,,,,,,, +纤细羽衣草,Alchemilla gracilis,新生,549a,19570716,新疆维吾尔自治区 ,0,云杉林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0110425.jpg,,,,,,,,,, +纤细羽衣草,Alchemilla gracilis,刘心源,15480,1959/7/28,山西,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0319540.jpg,,,,,,,,,, +纤细羽衣草,Alchemilla gracilis,黄河调查队,50,19540920,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00560867.jpg,,,,,,,,,, +羽衣草,Alchemilla japonica,彭思玉 刘平,522401161117001 LY,20161117,贵州省,1410.9,旱生、阳性、中温、沙土、野生植物、草丛,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0036900.jpg,,,,,,,,,, +羽衣草,Alchemilla japonica,张振万,3473,1974/7/21,新疆,1440,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0299860.jpg,,,,,,,,,, +羽衣草,Alchemilla japonica,生态室高原组,14946,19800906,西藏自治区,3700,高山草甸中偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01147976.jpg,,,,,,,,,, +,Alchornea tiliifolia,T.P.Wang,80351,19371108,四川省,650,road side,,无花无果,https://image.cvh.ac.cn/files/l/PE/01380876.jpg,,,,,,,,,, +,Alchornea tiliifolia,陶国达,15676,19770729,云南省,1250,林下潮湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/01680644.jpg,,,,,,,,,, +椴叶山麻秆,Alchornea tiliifolia,Y. Tsiang,2603 B,1929/6/6,广东; KWANGTUNG,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00034073.jpg,,,,,,,,,, +,Allaeanthus kurzii,,,,,,,,,,,,,,,,,,, +,Allomorphia baviensis,税玉民,陈文红等,82822,20081229,云南,1700,林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1303931.jpg,,,,,,,,,, +,Allomorphia baviensis,何海文;杨锦超,YANGXF0523,20131103,广西省,981,亚热带常绿阔叶林林下荫湿处,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1322077.jpg,,,,,,,,,, +越南异形木,Allomorphia baviensis,"S.K.Wu,Y.M.Shui et al.",33,19951015,云南省,1700~1900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01879684.jpg,,,,,,,,,, +尾叶异形木,Allomorphia urophylla,"程树志,李渤生",4137,19830418,西藏自治区,1200,常绿阔叶林下路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01932530.jpg,,,,,,,,,, +尾叶异形木,Allomorphia urophylla,"王启无,刘瑛",86856,19400215,云南省,1000,border of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00757987.jpg,,,,,,,,,, +尾叶异形木,Allomorphia urophylla,中苏队,1326,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0222952.jpg,,,,,,,,,, +大叶异木患,Allophylus chartaceus,"程树志,李渤生",4635,19830423,西藏自治区,650,常阔林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810872.jpg,,,,,,,,,, +大叶异木患,Allophylus chartaceus,"程树志,李渤生",4635,19830423,西藏,650,常阔林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810872.jpg,,,,,,,,,, +,Allophylus serratus,V.Narayana Swanny,18915,19290815,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0214105.jpg,,,,,,,,,, +,Allophylus triphyllus,,,,,,,,,,,,,,,,,,, +,Allophylus zeylanicus,孙航,周浙昆,俞宏渊,1695,19921128,西藏自治区,650,in forest,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0503113.jpg,,,,,,,,,, +尼泊尔桤木,Alnus nepalensis,邹惠渝,10059,19820903,福建,2450,荒坡,乔木,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2019538.jpg,,,,,,,,,, +尼泊尔桤木,Alnus nepalensis,贾彧,522325181025003LY,20181025,贵州,925,阔叶林、中生、阳性、中温、野生酸性土植物,乔木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0094131.jpg,,,,,,,,,, +尼泊尔桤木,Alnus nepalensis,吉首大学生物资源与环境科学学院,GWJ20170611_0480,20170611,湖南,402,山坡林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU46807.jpg,,,,,,,,,, +蕈树,Altingia chinensis,,1827,19800611,浙江省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0327668.jpg,,,,,,,,,, +蕈树,Altingia chinensis,东兴市普查队,450681181012036LY,20181012,广西,182,阔叶林,路旁,少野生,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00418215.jpg,,,,,,,,,, +蕈树,Altingia chinensis,粤73 ,64,19730519,广东省,500,山地 山谷 疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01858444.jpg,,,,,,,,,, +细青皮,Altingia excelsa,黄茂先,112585,1964-9 1,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0040661.jpg,,,,,,,,,, +细青皮,Altingia excelsa,税玉民,3621,19930825,云南省,1120,山坡 林边空旷地上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01858426.jpg,,,,,,,,,, +细青皮,Altingia excelsa,T.N.Liou,18937,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0327681.jpg,,,,,,,,,, +,Alysicarpus glumaceus,M.Reekmans,8955,19800427,,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00462551.jpg,,,,,,,,,, +,Ampelocissus barbata,,,,,,,,,,,,,,,,,,, +,Ampelocissus divaricata,"M.Mikage,T.Kajita,F.Kiuchi etc.",9552787,19951009,,200,On sunny forest margin.,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111865.jpg,,,,,,,,,, +宽叶酸蔹藤,Ampelocissus latifolia,田旗、王正伟、郭光普,TQ00535,20110510,西藏,,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0071124.jpg,,,,,,,,,, +锡金酸蔹藤,Ampelocissus sikkimensis,周仕顺,2059,20040904,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/109120.jpg,,,,,,,,,, +西藏酸蔹藤,Ampelocissus xizangensis,"李渤生,李辉",13165,19900828,西藏自治区,2100~2200,河边林中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01364793.jpg,,,,,,,,,, +蓝果蛇葡萄,Ampelopsis bodinieri,李小杰,LiXJ911,20180901,四川,1050,山坡林缘,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1451208.jpg,,,,,,,,,, +灰毛蛇葡萄,Ampelopsis bodinieri,C.T.Ren,2144,19260721,江苏省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/106170079.jpg,,,,,,,,,, +蓝果蛇葡萄,Ampelopsis bodinieri,阳朔县普查队,450321170710024LY,20170710,广西,146,灌丛,路旁,石灰土,一般,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00414582.jpg,,,,,,,,,, +,Ampelopsis bodinieri var. cinerea,王海峰、肖雅军、唐伟岚,JZG0469,20180927,四川,1660,,藤本,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0270974.jpg,,,,,,,,,, +灰毛蛇葡萄,Ampelopsis bodinieri var. cinerea,仲崇俊等,55332,19550825,黑龙江省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/106170020.jpg,,,,,,,,,, +灰毛蛇葡萄,Ampelopsis bodinieri var. cinerea,Wang Si-Tchen,1309,,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00624396.jpg,,,,,,,,,, +,Amphicarpaea edgeworthii,朱秋桂、刘卿雯,297,20020913,浙江省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0173153.jpg,,,,,,,,,, +,Amphicarpaea edgeworthii,石硕,SZ3596,20140719,河北省,504,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031639.jpg,,,,,,,,,, +,Amphicarpaea edgeworthii,,4535,,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0173137.jpg,,,,,,,,,, +,Amphicarpaea ferruginea,胡君、王东超、李丽、刘晓芬、李永龙、唐璐、思亮、刘方方,SC-a-053-B15,20180725,四川,,高山栎群落中,一年生缠绕草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609266.jpg,,,,,,,,,, +,Amphicarpaea ferruginea,H.Ohashi et al.,771422,19770916,,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01523818.jpg,,,,,,,,,, +,Amphicarpaea ferruginea,伊廷双,孟静,杨杨,伊-10377,20070908,云南,2960,山路边,匍匐草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1318728.jpg,,,,,,,,,, +阿尔泰银莲花,Anemone altaica,朱世新、朱长山、张云霞、李景照、周繇、张若鹏、李家美、储嘉琳,150512069,20150512,河南,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU065013.jpg,,,,,,,,,, +阿尔泰银莲花,Anemone altaica,王文采,80845,19300515,四川,2230,slope on sideo of sbady yoot,,有花无果,https://image.cvh.ac.cn/files/l/KUN/259046.jpg,,,,,,,,,, +阿尔泰银莲花,Anemone altaica,,517,19770426,新疆维吾尔自治区,,"山坡林下,水旁",,有花无果,https://image.cvh.ac.cn/files/l/PE/00382493.jpg,,,,,,,,,, +,Anemone bomiensis,,,,,,,,,,,,,,,,,,, +,Anemone brachystema,生态室高原组,10319,19800624,西藏自治区,,草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050210.jpg,,,,,,,,,, +银莲花,Anemone cathayensis,王正文、杨筑筑、宋传涛,王正文0502,20160606,内蒙古,,路边,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0234483.jpg,,,,,,,,,, +银莲花,Anemone cathayensis,黄保春,DPS20115167,20110526,贵州省,1230,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0003136.jpg,,,,,,,,,, +银莲花一种,Anemone cathayensis,李家湘 张贵志 肖准,1006818,20100913,重庆,,,,,https://image.cvh.ac.cn/files/l/CSFI/CSFI055567.jpg,,,,,,,,,, +条叶银莲花,Anemone coelestina var. linearis,陈世龙,张得钧,高庆波等,ChenSL0287,20080803,青海,4010,高山灌木丛或草甸或石坡,,花标本,https://image.cvh.ac.cn/files/l/KUN/1231365.jpg,,,,,,,,,, +,Anemone coelestina var. linearis,"蔡杰,刘成,郭永杰",13CS6952,20130603,西藏自治区,4405,溪边灌草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1331663.jpg,,,,,,,,,, +条叶银莲花,Anemone coelestina var. linearis,贺士元等,20424,19780816,河北,1300,,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0046816.jpg,,,,,,,,,, +西南银莲花,Anemone davidii,"董洪进,王泽欢,尹志坚",WM-0193,20160427,云南省,1500~1600,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090804.jpg,,,,,,,,,, +西南银莲花,Anemone davidii,植物所三峡考察队,1091,20080505,重庆市,1555~1705,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800209.jpg,,,,,,,,,, +西南银莲花,Anemone davidii,甘启良,2775,20080517,湖北省,1300,沟边草坡中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059805.jpg,,,,,,,,,, +展毛银莲花,Anemone demissa,杨仕煊,131,1985-08-,湖北省,2600,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0081761.jpg,,,,,,,,,, +展毛银莲花,Anemone demissa,,374,19640713,青海省,4400,山地 阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487428.jpg,,,,,,,,,, +展毛银莲花,Anemone demissa,C.W.Wang,63823,1935-1936.,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0000521.jpg,,,,,,,,,, +宽叶展毛银莲花,Anemone demissa var. major,青藏队,8637,19820826,云南省,3500,山沟水边灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980456.jpg,,,,,,,,,, +宽叶展毛银莲花,Anemone demissa var. major,"李新辉, 杨涛, 温昌润",Lixh38,20170912,四川,4459,高山流石滩,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1457381.jpg,,,,,,,,,, +宽叶展毛银莲花,Anemone demissa var. major,"倪志诚,次多,次旦",2023,19820819,西藏自治区,4000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956607.jpg,,,,,,,,,, +密毛银莲花,Anemone demissa var. villosissima,吴玉虎,32644,20050707,青海省,4100,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0210494.jpg,,,,,,,,,, +密毛银莲花,Anemone demissa var. villosissima,孙学刚等,2743,20020513,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814059.jpg,,,,,,,,,, +密毛银莲花,Anemone demissa var. villosissima,孙学刚等,2743,20020513,甘肃,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814059.jpg,,,,,,,,,, +云南银莲花,Anemone demissa var. yunnanensis,A.J.M.Delavay,,18870627,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00070555.jpg,,,,,,,,,, +云南银莲花,Anemone demissa var. yunnanensis,吴玉虎,35211,20050725,青海省,4580,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0220905.jpg,,,,,,,,,, +,Anemone demissa var. yunnanensis,陈家辉,刘亚辉,周妍,赵艳丽,吴志刚,熊力军,YangYP-Q-2225,20090919,四川,4081,草地,直立草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1231403.jpg,,,,,,,,,, +,Anemone elongata,,,,,,,,,,,,,,,,,,, +,Anemone galonglashanica,,,,,,,,,,,,,,,,,,, +,Anemone geum,"川西队,关克俭,王文采等",823,19630720,四川省,3500,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087642.jpg,,,,,,,,,, +,Anemone geum,金孝锋,11,20120524,云南省,,平地 荒草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036077.jpg,,,,,,,,,, +疏齿银莲花,Anemone geum,"亚吉东, 张桥蓉, 胡枭剑",16CS12053,20160607,新疆,1583,附生于岩壁上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1446016.jpg,,,,,,,,,, +疏齿银莲花,Anemone geum subsp. ovalifolia,"亚吉东, 张桥蓉, 胡枭剑",16CS12053,20160607,新疆,1583,附生于岩壁上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1446016.jpg,,,,,,,,,, +疏齿银莲花,Anemone geum subsp. ovalifolia,3组,903070,19900703,山西,2200,,草本,有花无果,https://image.cvh.ac.cn/files/l/SXU/00025709.jpg,,,,,,,,,, +疏齿银莲花,Anemone geum subsp. ovalifolia,陈家辉,庄会富,刘德团,YangYP-Q-0247,20080910,西藏,4468,路边石碓,,花标本,https://image.cvh.ac.cn/files/l/KUN/1231412.jpg,,,,,,,,,, +三出银莲花,Anemone griffithii,"冯正波,朱大海,李小杰",20070429,20070517,四川省,1800,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980737.jpg,,,,,,,,,, +三出银莲花,Anemone griffithii,青藏补点组,75099,19750531,西藏,2900,山谷,,有花无果,https://image.cvh.ac.cn/files/l/KUN/206374.jpg,,,,,,,,,, +三出银莲花,Anemone griffithii,PE西藏考察队,7470,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333237.jpg,,,,,,,,,, +拟卵叶银莲花,Anemone howellii,环江县普查队,451226130422002LY,20130422,广西,512,阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0112318.jpg,,,,,,,,,, +,Anemone howellii,"Howell, E.B.",110,,,,,,,https://image.cvh.ac.cn/files/l/E/E00438779.jpg,,,,,,,,,, +拟卵叶银莲花,Anemone howellii,王守正,653,19640603,云南省 ,1350,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00055983.jpg,,,,,,,,,, +米林银莲花,Anemone milinensis,"杨永,刘冰,林秦文等",319,20120730,西藏自治区,4200,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050212.jpg,,,,,,,,,, +,Anemone motuoensis,生态室高原组,10370,19800625,西藏自治区,3600,冷杉林内湿地常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050216.jpg,,,,,,,,,, +,Anemone neorupestris,,,,,,,,,,,,,,,,,,, +疏齿银莲花,Anemone obtusiloba,T.P.Wang,4161,19360602,陕西省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00422030.jpg,,,,,,,,,, +钝裂银莲花,Anemone obtusiloba,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2794,20090927,西藏,3180,林下草地,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1231428.jpg,,,,,,,,,, +钝裂银莲花,Anemone obtusiloba,,1,19580504,四川省,2900,平原 沙质,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956425.jpg,,,,,,,,,, +多果银莲花,Anemone polycarpa,Forrest,19578,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00053042.jpg,,,,,,,,,, +多果银莲花,Anemone polycarpa,曲桂龄,7342,19400709,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00176156.jpg,,,,,,,,,, +,Anemone polycarpa,,1038,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956450.jpg,,,,,,,,,, +草玉梅,Anemone rivularis,周太炎,650658,1965-06-,新疆省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0082178.jpg,,,,,,,,,, +草玉梅,Anemone rivularis,Y. Tsiang,5337,1930/6/6,贵州; KWEICHOW,400,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00053029.jpg,,,,,,,,,, +草玉梅,Anemone rivularis,,2741,19590724,河北省,1600,山顶上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01219439.jpg,,,,,,,,,, +岷山银莲花,Anemone rockii,付坤俊,10189,1957/8/7,陕西省 ,2860,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0089703.jpg,,,,,,,,,, +巫溪银莲花,Anemone rockii,龙.荣.张,240,19730601,四川,2500,山顶草坡,向阳处。,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM704601406.jpg,,,,,,,,,, +巫溪银莲花,Anemone rockii,,100367,19580503,重庆市,2100,空旷的草坪中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00423256.jpg,,,,,,,,,, +湿地银莲花,Anemone rupestris,,,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00176742.jpg,,,,,,,,,, +湿地银莲花,Anemone rupestris,赵魁义,684,19810810,云南省,2800,湖淀沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980427.jpg,,,,,,,,,, +,Anemone rupestris,,SCSB-W-105,,云南,4500,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1231548.jpg,,,,,,,,,, +岩生银莲花,Anemone rupicola,汉源队,482,19780623,四川,3200,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM704601407.jpg,,,,,,,,,, +岩生银莲花,Anemone rupicola,俞德浚,8724,0,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/259587.jpg,,,,,,,,,, +岩生银莲花,Anemone rupicola,Forrest,2552,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00053041.jpg,,,,,,,,,, +红萼银莲花,Anemone smithiana,PE西藏考察队,7841,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332806.jpg,,,,,,,,,, +红萼银莲花,Anemone smithiana,张林、李星月、张晓严,6-139,20180611,西藏,3352,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023666.jpg,,,,,,,,,, +红萼银莲花,Anemone smithiana,Lall Dhwoj,460,19300000,,4570,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00934922.jpg,,,,,,,,,, +,Anemone tetrasepala,Jnayat Khan,,18990712,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/038627.jpg,,,,,,,,,, +复伞银莲花,Anemone tetrasepala,C.Y. Chiao,2768,1930/7/7,山东; SHANTUNG,600,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00053130.jpg,,,,,,,,,, +复伞银莲花,Anemone tetrasepala,PE西藏考察队,Feb-58,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332869.jpg,,,,,,,,,, +匙叶银莲花,Anemone trullifolia,李晓东,张景博,徐凌翔,顾舒平,liJ396,20090911,四川,4480,路边灌丛,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1231564.jpg,,,,,,,,,, +匙叶银莲花,Anemone trullifolia,青藏补点组,750234,19750606,西藏,4200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/259468.jpg,,,,,,,,,, +匙叶银莲花,Anemone trullifolia,George Forrest,30817,19310000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00423823.jpg,,,,,,,,,, +野棉花,Anemone vitifolia, ,133,19560100,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00011432.jpg,,,,,,,,,, +野棉花,Anemone vitifolia,邹方伦,ZouFL0324,20111110,贵州,1050,路旁山坡灌丛中,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231601.jpg,,,,,,,,,, +野棉花,Anemone vitifolia,"张志松,张永田",7679,19600812,贵州省,1300,"山脚,草地上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00423940.jpg,,,,,,,,,, +异腺草,Anisadenia pubescens,Y.Tsiang,12158,19330000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00965073.jpg,,,,,,,,,, +异腺草,Anisadenia pubescens,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14438,20161114,西藏,1617,公路下方山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1446885.jpg,,,,,,,,,, +异腺草,Anisadenia pubescens,,10,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0225069.jpg,,,,,,,,,, +石异腺草,Anisadenia saxatilis,M.Wakabayashi etc.,9730096,19970803,,2200,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261275.jpg,,,,,,,,,, +西南五月茶,Antidesma acidum,侯宽昭,73029,19350630,海南省,,在灌丛中,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0004029.jpg,,,,,,,,,, +西南五月茶,Antidesma acidum,"武素功, 蔡杰, 殷根深",SC0010,20101108,TakéoBoti,,Secondary evergreen forest,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1311045.jpg,,,,,,,,,, +西南五月茶,Antidesma acidum,刘忠华 张林,,20100801,贵州,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00075853.jpg,,,,,,,,,, +五月茶,Antidesma bunius,236-6队,4171,19810724,海南省,62,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01680615.jpg,,,,,,,,,, +五月茶,Antidesma bunius,叶华谷、邢福武,8916,20030717,澳门,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0290860.jpg,,,,,,,,,, +五月茶,Antidesma bunius,Shui Yumin et al.,11489,19991002,云南省,1100,in forests,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239634.jpg,,,,,,,,,, +,Antidesma khasianum,,,,,,,,,,,,,,,,,,, +山地五月茶,Antidesma montanum,,,,海南,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00032368.jpg,,,,,,,,,, +小叶五月茶,Antidesma montanum,李家湘、游健荣、邓梦达、胡凡、程幸、龚俊伟,JLJ114-2,20200821,湖南,690,竹林林下,,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI071438.jpg,,,,,,,,,, +小叶五月茶,Antidesma montanum,刘仁林,唐忠炳,彭鸿民,171209323,20171209,江西,300~500,林下,,无花有果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0010323.jpg,,,,,,,,,, +小叶五月茶,Antidesma montanum var. microphyllum,环江县普查队,451226130502009LY,20130502,广西,425,阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0112650.jpg,,,,,,,,,, +小叶五月茶,Antidesma montanum var. microphyllum,刘仁林,唐忠炳,彭鸿民,171209323,20171209,江西,300~500,林下,,无花有果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0010323.jpg,,,,,,,,,, +小叶五月茶,Antidesma montanum var. microphyllum,彭日成、莫水松、刘静等,ML1503,20120711,广西壮族自治区,430,"山坡水旁, 少见",灌木,,https://image.cvh.ac.cn/files/l/IBK/IBK00310187.jpg,,,,,,,,,, +,Antidesma nigricans,,,,,,,,,,,,,,,,,,, +,Antidesma roxburghii,J.O.Voigt,97,18410000,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0292298.jpg,,,,,,,,,, +肉色土圞儿,Apios carnea,雷开东,ZZ140811175,20140811,湖南湘西州,,草丛,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU59175.jpg,,,,,,,,,, +肉色土圞儿,Apios carnea,Tsang W.T.,28193,1937/9/9,广西; KWANGSI,,,攀援,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00040747.jpg,,,,,,,,,, +肉色土栾儿,Apios carnea,代天伦,102996,19580923,重庆市,610,生于灌木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00100365.jpg,,,,,,,,,, +土圞儿,Apios fortunei,严岳鸿、李晓晨等,ZX04404,20180515,浙江,285.9,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0156057.jpg,,,,,,,,,, +,Apios fortunei,岛津制作所标本部,820,19070822,武州,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0016174.jpg,,,,,,,,,, +土圞儿,Apios fortunei,王金平,156,1992.06.,湖北,500,,,有花无果,https://image.cvh.ac.cn/files/l/HENU/1016764.jpg,,,,,,,,,, +大花土圞儿,Apios macrantha,唐昌林,1761,1969/10/7,陕西省,800,,木质缠绕藤本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0289828.jpg,,,,,,,,,, +大花土圞儿,Apios macrantha,罗垚,LA0157,20180731,西藏,2870,,藤本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI065348.jpg,,,,,,,,,, +大花土圞儿,Apios macrantha,岳俊三等,1568,19620709,江西省,700,溪沟边灌丛,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0589204.jpg,,,,,,,,,, +,Aporosa dioica,马玖,270,20090306,云南省,598,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239663.jpg,,,,,,,,,, +,Aporosa dioica,中越考察队,2632,19650223,,20,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01111635.jpg,,,,,,,,,, +银柴,Aporosa dioica,周仕顺,9917,20110616,云南,,河边杂木林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/BJM/0220114.jpg,,,,,,,,,, +银柴,Aporosa octandra,P.Srisanga,520,19990213,,1100,半常绿阔叶林,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0004315.jpg,,,,,,,,,, +,Aporosa octandra,周仕顺,1051,20030428,云南省,600,迁地保护区山坡杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01381080.jpg,,,,,,,,,, +无距耧斗菜,Aquilegia ecalcarata,傅竞秋,625,19580914,河南省,940,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0103933.jpg,,,,,,,,,, +无距耧斗菜,Aquilegia ecalcarata,何汇珍,1403,1958-06-,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0082435.jpg,,,,,,,,,, +无距耧斗菜,Aquilegia ecalcarata,何汝保,2068,1979.06.,河南,1000,,,无花无果,https://image.cvh.ac.cn/files/l/HENU/0150138.jpg,,,,,,,,,, +腺毛耧斗菜,Aquilegia moorcroftiana,青藏队植被组,12901,19760630,西藏自治区,3700,岩石 山地 阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00105418.jpg,,,,,,,,,, +甘肃耧斗菜,Aquilegia oxysepala var. kansuensis,蓝顺彬,98,19840813,云南,2800,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814224.jpg,,,,,,,,,, +甘肃耧斗菜,Aquilegia oxysepala var. kansuensis,刘玉红等,89033,19890623,重庆,1800,南山脚下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01815303.jpg,,,,,,,,,, +甘肃耧斗菜,Aquilegia oxysepala var. kansuensis,吴玉虎,50251,20140614,青海,2600,山地阴坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023456.jpg,,,,,,,,,, +落花生,Arachis hypogaea,C.Y. Chiao,2967,1930/8/8,山东; SHANGTUNG,200,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00047873.jpg,,,,,,,,,, +落花生,Arachis hypogaea,Noriaki Fukuyama,,19330700,台湾省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00399199.jpg,,,,,,,,,, +落花生,Arachis hypogaea,Tsang Wai Tak,358,1928/5/5,海南; HAINAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00047853.jpg,,,,,,,,,, +,Archidendron arunachalense,,,,,,,,,,,,,,,,,,, +亮叶围涎树,Archidendron bigeminum,刘正宇,1169-01,19990521,重庆市,570,山地悬岩边,乔木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0075632.jpg,,,,,,,,,, +亮叶围涎树,Archidendron bigeminum,刘正宇,851215-01,19850613,四川省,780,溪边杂木林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0075629.jpg,,,,,,,,,, +亮叶围涎树,Archidendron bigeminum,陈少卿,12582,19570531,广西壮族自治区,690~720,丘陵,水旁,山谷,密林,瘠土,少见散生,灌木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00396888.jpg,,,,,,,,,, +猴耳环,Archidendron clypearia,曾宪锋,ZXF37221,20180501,广东,677,山地、密林,乔木,无花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0032500.jpg,,,,,,,,,, +猴耳环,Archidendron clypearia,瞿华、王基宇,231,20181227,福建,320,路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/AU/AU074701.jpg,,,,,,,,,, +猴耳环,Archidendron clypearia,曾宪锋,ZXF14238,2013/8/21,江西省,780,山地,,,https://image.cvh.ac.cn/files/l/CZH/CZH0008500.jpg,,,,,,,,,, +,Archidendron nielsenianum,,,,,,,,,,,,,,,,,,, +蓟罂粟,Argemone mexicana,,s.n.,19390000,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00980636.jpg,,,,,,,,,, +蓟罂粟,Argemone mexicana,金佛山考察队,813,19860603,重庆市,650,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050584.jpg,,,,,,,,,, +蓟罂粟,Argemone mexicana,中苏云南联合考察团,5672,19570000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00980644.jpg,,,,,,,,,, +,Argentina anserina,T.S.Elias et al.,4711,19780827,,1900,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01638693.jpg,,,,,,,,,, +,Argentina aristata,,,,,,,,,,,,,,,,,,, +,Argentina contigua,,,,,,,,,,,,,,,,,,, +,Argentina glabriuscula,,,,,,,,,,,,,,,,,,, +,Argentina glabriuscula var. oligandra,,,,,,,,,,,,,,,,,,, +,Argentina gracilescens,,,,,,,,,,,,,,,,,,, +,Argentina interrupta,,,,,,,,,,,,,,,,,,, +银叶委陵菜,Argentina leuconota,张代贵,hhx0122099,20090612,湖南湘西州,,溪边,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU46099.jpg,,,,,,,,,, +银叶委陵菜,Argentina leuconota,张代贵,zdg6991,20110611,湖北神龙架,,山坡丛林,草本,有花有果,https://image.cvh.ac.cn/files/l/JIU/JIU60480.jpg,,,,,,,,,, +银叶委陵菜,Argentina leuconota,张代贵,YH110715952,20110715,湖北神农架,,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU45952.jpg,,,,,,,,,, +,Argentina leuconota var. brachyphyllaria,,,,,,,,,,,,,,,,,,, +,Argentina lineata,,,,,,,,,,,,,,,,,,, +,Argentina luteopilosa,,,,,,,,,,,,,,,,,,, +,Argentina micropetala,,,,,,,,,,,,,,,,,,, +,Argentina microphylla,,,,,,,,,,,,,,,,,,, +,Argentina peduncularis,,,,,,,,,,,,,,,,,,, +,Argentina phanerophlebia,,,,,,,,,,,,,,,,,,, +,Argentina polyphylla,,,,,,,,,,,,,,,,,,, +,Argentina songzhuensis,,,,,,,,,,,,,,,,,,, +,Argentina stenophylla,,,,,,,,,,,,,,,,,,, +,Argentina stenophylla var. emergens,,,,,,,,,,,,,,,,,,, +,Argentina tapetodes,,,,,,,,,,,,,,,,,,, +,Argentina turfosa,,,,,,,,,,,,,,,,,,, +,Artocarpus chama,,612,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00761881.jpg,,,,,,,,,, +野树波罗,Artocarpus chama,肖春芬,C250570,20170526,云南,570,"C25,引种号:38,2003,0031",乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026156.jpg,,,,,,,,,, +,Artocarpus gomezianus,M.R.Henderson,21742,19290422,,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/037642.jpg,,,,,,,,,, +木波罗,Artocarpus heterophyllus,东兴市普查队,450681190630023LY,20190630,广西,42,阔叶林,路旁,黄棕壤,多栽培,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00418268.jpg,,,,,,,,,, +,Artocarpus heterophyllus,陈潭清、陈珍传、王晖,1401254,20140116,香港,110,山坡林缘,,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00109165.jpg,,,,,,,,,, +波罗蜜,Artocarpus heterophyllus,J.G.Jack,4900,19310812,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0350710.jpg,,,,,,,,,, +,Artocarpus lakoocha,王洪,7047,20040506,云南省,850,公路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01602497.jpg,,,,,,,,,, +野波罗蜜,Artocarpus lakoocha,G.V.Sobbarao,30056,19680621,,100,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0350827.jpg,,,,,,,,,, +,Aruncus sylvester,"张吉华, 张东红",TanCM3267,20180919,江西,1380,山谷沟旁,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1485601.jpg,,,,,,,,,, +假升麻,Aruncus sylvester,,83318,,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00561401.jpg,,,,,,,,,, +假升麻,Aruncus sylvester,邱莲卿,4362,1965/6/30,吉林,1180,,直立灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0312309.jpg,,,,,,,,,, +球果藤,Aspidocarya uvifera,C.W.Wang,76964,19360600,云南省 ,1100,,vine,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00316300.jpg,,,,,,,,,, +,Aspidocarya uvifera,"刘成,蔡杰,张挺,刘恩德,张书东",13CS6415,20130527,西藏自治区,833,树上,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1372347.jpg,,,,,,,,,, +球果藤,Aspidocarya uvifera,张英,19,20000000,贵州省,566,林间,,无花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0008334.jpg,,,,,,,,,, +,Aspidopterys elliptica,,,,,,,,,,,,,,,,,,, +盾翅藤,Aspidopterys glabriuscula,,,19780909,四川,,山坡草丛,,有花有果,https://image.cvh.ac.cn/files/l/SM/SM708300001.jpg,,,,,,,,,, +盾翅藤,Aspidopterys glabriuscula,"李渤生,程树志",2090,19821211,西藏自治区,1850,常绿阔叶林缘偶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077230.jpg,,,,,,,,,, +盾翅藤,Aspidopterys glabriuscula,M.K.Li,1328,19391129,云南省 ,2000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0270530.jpg,,,,,,,,,, +细枝绣线菊,Aspidopterys indica,H.T.Tsai,54555,19330925,云南省,2000,by stream,,无花有果,https://image.cvh.ac.cn/files/l/PE/00022610.jpg,,,,,,,,,, +盾翅藤,Aspidopterys nutans,王启无,78054,19360800,云南省,780,thickets,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0476741.jpg,,,,,,,,,, +星果草,Asteropyrum peltatum,R.P.Farges,1148,18920402,重庆市,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934634.jpg,,,,,,,,,, +星果草,Asteropyrum peltatum,刘林翰,18159,19830330,湖南,,水旁山谷密林,智力,有花无果,https://image.cvh.ac.cn/files/l/HNNU/HNNU00062893.jpg,,,,,,,,,, +星果草,Asteropyrum peltatum,,62351,,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0082591.jpg,,,,,,,,,, +裂叶星果草,Asteropyrum peltatum subsp. cavaleriei,资源县普查队,450329161023014LY,20161023,广西壮族自治区,340,阔叶林,林下,野生,草本,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00404140.jpg,,,,,,,,,, +溪畔落新妇,Astilbe rivularis,刘正宇,2034403,20030802,贵州,1500,河边林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0064022.jpg,,,,,,,,,, +多花落新妇,Astilbe rivularis,标本室,2624,Sep-56,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0144783.jpg,,,,,,,,,, +溪畔落新妇,Astilbe rivularis,应俊生等,51,1991/7/17,陕西省 ,1100,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0478476.jpg,,,,,,,,,, +多花落新妇,Astilbe rivularis var. myriantha,K.M.Liou,L.4451,19350620,河南省,920,Bois humides,,有花无果,https://image.cvh.ac.cn/files/l/PE/00683691.jpg,,,,,,,,,, +多花落新妇,Astilbe rivularis var. myriantha,F.T.Wang,21955,19300730,四川省,2100,Herbaceous ground,,有花无果,https://image.cvh.ac.cn/files/l/PE/00861768.jpg,,,,,,,,,, +多花落新妇,Astilbe rivularis var. myriantha,T.P. Wang,1590,1933/7/20,陕西省 ,1200,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0005186.jpg,,,,,,,,,, +腺萼落新妇,Astilbe rubra,中美联合鄂西考察队,75,19800825,湖北省,1700,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00996171.jpg,,,,,,,,,, +腺萼落新妇,Astilbe rubra,蔡希陶,51179,,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00173438.jpg,,,,,,,,,, +腺萼落新妇,Astilbe rubra,刘慎谔,21434,19461009,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00683721.jpg,,,,,,,,,, +,Astragalus acaulis,"Bonvalot, P.G.E.",,1890-6-16,,,,,,https://image.cvh.ac.cn/files/l/P/P00606253.jpg,,,,,,,,,, +,Astragalus acaulis,"关克俭,王文采等",1065,19630729,四川省,4000,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839094.jpg,,,,,,,,,, +,Astragalus acaulis,"韩裕丰,邓坤梅,陈永瑞",81-1503,19810806,云南省,3800,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490433.jpg,,,,,,,,,, +团垫黄耆,Astragalus arnoldii,张林、李星月、张晓严,4月3日,20180609,西藏,4437,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023592.jpg,,,,,,,,,, +团垫黄耆,Astragalus arnoldii,刘全儒,ALT.298,20140729,新疆,4871,荒漠,草,,https://image.cvh.ac.cn/files/l/BNU/0028601.jpg,,,,,,,,,, +,Astragalus arnoldii,"张永田,郞楷永",3687,19660527,西藏自治区,4900,河滩山坡草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00279477.jpg,,,,,,,,,, +黄芪属,Astragalus austrotibetanus,"张永田,郞楷永",219,19650706,西藏自治区,3200,山坡草坝,,有花无果,https://image.cvh.ac.cn/files/l/PE/00186092.jpg,,,,,,,,,, +黄芪属,Astragalus baxoiensis,"南水北调队,姜恕",6825,19610805,四川省,3300,路旁阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279657.jpg,,,,,,,,,, +,Astragalus bhotanensis,K.K.TSOONGG,,19191103,昆明,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0016367.jpg,,,,,,,,,, +地八角,Astragalus bhotanensis,侯小琪,YD260622-553,20140622,贵州,,水旁草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0000684.jpg,,,,,,,,,, +地八角,Astragalus bhotanensis,周健勇,83-30,19830905,西藏自治区,2150,生于较干燥处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01140329.jpg,,,,,,,,,, +,Astragalus blandulus,傅国勋,842,19600717,西藏自治区,3900,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00187221.jpg,,,,,,,,,, +,Astragalus bouffordii,"D. E. Boufford, J. H. Chen, S. L. Kelley, J. Li, R",32419,2004/8/16,,3349,,,,https://image.cvh.ac.cn/files/l/HUH/A00286212.jpg,,,,,,,,,, +,Astragalus brachytrichus,倪志诚等/C.C.Ni et al.,2253,19820804,西藏自治区,3100,河谷草丛中,伏地草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00278754.jpg,,,,,,,,,, +短梗黄耆,Astragalus breviscapus,黄文慧,SK201503216,20170702,河北,2250米,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/HBU/HBU0002989.jpg,,,,,,,,,, +,Astragalus breviscapus,中国科学院新疆综合考察队,578,19590609,新疆维吾尔自治区,,山前台地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00187823.jpg,,,,,,,,,, +,Astragalus caeruleopetalinus var. glabricarpus,"倪志诚,汪永泽,次多,次旦",1509,19800906,西藏自治区,4000,冰川侧碛,,有花有果,https://image.cvh.ac.cn/files/l/PE/00184546.jpg,,,,,,,,,, +,Astragalus chagyabensis,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-154-B15,20190826,四川,3169,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261283.jpg,,,,,,,,,, +,Astragalus coluteocarpus,青藏队植被组,12879,19760629,西藏自治区,3500,河滩谷田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804077.jpg,,,,,,,,,, +,Astragalus coluteocarpus,"李安仁,朱家楠",6939,19580803,新疆维吾尔自治区,1825,石山,,无花有果,https://image.cvh.ac.cn/files/l/PE/00185944.jpg,,,,,,,,,, +,Astragalus conaensis,,,,,,,,,,,,,,,,,,, +丛生黄耆,Astragalus confertus,和光,马剑,D-022,20040708,云南省,4445,杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 004010.jpg,,,,,,,,,, +,Astragalus confertus,,1109,19640723,甘肃省,3000,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00184988.jpg,,,,,,,,,, +丛生黄耆,Astragalus confertus,鞠文彬,郑臣臣,THP-KD-6487,20170818,四川,3629,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254805.jpg,,,,,,,,,, +,Astragalus damxungensis,,,,,,,,,,,,,,,,,,, +,Astragalus degensis var. rockianus,何铸,12444,19520516,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490529.jpg,,,,,,,,,, +,Astragalus degensis var. rockianus,郭永杰,张桥蓉,李春晓,张继,11CS3436,20110916,云南,3945,溪谷,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1318828.jpg,,,,,,,,,, +大花窄翼黄芪?,Astragalus degensis var. rockianus,代天伦、徐利国,,19660621,四川,,灌木林边缘,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM707200502.jpg,,,,,,,,,, +,Astragalus densiflorus,"徐朗然,黎斌",2034,19970820,甘肃省,2600,草甸山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00461052.jpg,,,,,,,,,, +,Astragalus densiflorus,徐朗然,96-079,19960620,新疆维吾尔自治区,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00461039.jpg,,,,,,,,,, +,Astragalus densiflorus,郭柯,k-90,19900630,青海省,4859,高寨 草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01606112.jpg,,,,,,,,,, +孔老黄芪,Astragalus densiflorus var. konlonicus,青藏队 吴玉虎,3719,19880630,新疆维吾尔自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/146840.jpg,,,,,,,,,, +,Astragalus despectus,郎楷永/K.J.Lang,9942,19760804,西藏自治区,5100,老火山岩石滩上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00185355.jpg,,,,,,,,,, +,Astragalus falconeri,青藏队,76-8472,19760716,西藏自治区,3750,山坡砂砾坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00185570.jpg,,,,,,,,,, +多花黄耆,Astragalus floridulus,方震东,219,19870724,云南省,3950,高山黄砾林,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 004012.jpg,,,,,,,,,, +,Astragalus floridulus,杨竞生,91-1044,19910921,甘肃省,2900,草坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00279418.jpg,,,,,,,,,, +多花黄耆,Astragalus floridulus,邓姣姣、卫靜丽、刘常坤,LDW-36-V-019,20200920,四川,3611.94m,山坡草地,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02067429.jpg,,,,,,,,,, +,Astragalus graveolens,茂汶组,2515,19590611,四川省,270~300,草坡,夹槽中生,有差伦,具母同生,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490615.jpg,,,,,,,,,, +烈香黄耆,Astragalus graveolens,"张德全, 段丽珍, 王应龙, 杨航",ZDQ133,20161016,云南,2426,公路边杂木灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1451849.jpg,,,,,,,,,, +,Astragalus graveolens,滇西北金沙江队,6453,19630811,云南省,1300~1500,金沙滩砂质田地边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00279561.jpg,,,,,,,,,, +,Astragalus hancockii,卜朝军,王永红,刘军,樊卫东,HZZ034,20180610,陕西省,1599,缓坡,藤本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00629025.jpg,,,,,,,,,, +,Astragalus hancockii,段长虹,Dch0141,20140630,山西省,1707,土石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031878.jpg,,,,,,,,,, +,Astragalus hancockii,"王忠涛,顾大滨等",245,19860605,北京市,1900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820910.jpg,,,,,,,,,, +异齿黄耆,Astragalus heterodontus,刘全儒,QH2012026,20120704,青海,4298,荒漠草原、草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0050018.jpg,,,,,,,,,, +,Astragalus heterodontus,青藏队,7863,19760626,西藏自治区,4070,河滩沙地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00185361.jpg,,,,,,,,,, +,Astragalus heterodontus,Ju.Gusev et S.Ikonnikov,,19580623,,3600~4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00185908.jpg,,,,,,,,,, +藏西黄耆,Astragalus hoffmeisteri,青藏队,8472,19760716,西藏自治区,3750,山坡砂砾坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0589825.jpg,,,,,,,,,, +疏花黄耆,Astragalus hoffmeisteri,M.V.Viswanathan,54741,19750820,,4500,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0167992.jpg,,,,,,,,,, +,Astragalus hysophilus,,,,,,,,,,,,,,,,,,, +,Astragalus jiazaensis,"张永田,郞楷永",2231,19650831,西藏自治区,3900,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00184929.jpg,,,,,,,,,, +,Astragalus khasianus,C.W.Wang,70281,19350900,云南省,2700,Mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00278848.jpg,,,,,,,,,, +,Astragalus khasianus,青藏补点,750506,19750704,西藏自治区,3060,山谷林下湿地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0589832.jpg,,,,,,,,,, +,Astragalus khasianus,"Henry, Augustine",9783,,,,,,,https://image.cvh.ac.cn/files/l/E/E00275895.jpg,,,,,,,,,, +,Astragalus kuschakewiczii,刘炎林等,1,20050702,新疆维吾尔自治区,4500~5200,高寒荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/01514520.jpg,,,,,,,,,, +,Astragalus kuschakewiczii,杨永昌,843,19650526,青海省,3750,农田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00186748.jpg,,,,,,,,,, +,Astragalus laetabilis,,,,,,,,,,,,,,,,,,, +黄芪属,Astragalus lamalaensis,西藏生物所植物资源队,3355,19830726,西藏,4250-4400,高山流石坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0003729.jpg,,,,,,,,,, +拉木拉黄芪,Astragalus lamalaensis,西藏生物所植物资源队,3320,19830725,西藏自治区,4200,湖滨柳灌丛林林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432476.jpg,,,,,,,,,, +,Astragalus laxmannii,"杨雅玲,张桂芝,张玉良",252,19730722,辽宁省,1300,生沙地草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279274.jpg,,,,,,,,,, +,Astragalus laxmannii,,7057,19350700,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279820.jpg,,,,,,,,,, +,Astragalus laxmannii,秦仁昌,1150,19560805,新疆维吾尔自治区 ,2500,山坡,潮湿地,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0589908.jpg,,,,,,,,,, +,Astragalus lessertioides,钟补求,8621,19580729,青海省,3500,山坡沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490637.jpg,,,,,,,,,, +,Astragalus lessertioides,F.Kingdon Ward,10654,19330727,西藏自治区,4300,in cultivated ground bordering fields,,有花无果,https://image.cvh.ac.cn/files/l/PE/00186081.jpg,,,,,,,,,, +,Astragalus lessertioides,C.S.Chang et al.,SI0986,20100702,四川省,3056,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924413.jpg,,,,,,,,,, +,Astragalus leucocephalus,"倪志诚,汪永泽,次多,次旦",160,19800623,西藏自治区,3900,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00186095.jpg,,,,,,,,,, +,Astragalus leucocephalus,拉穷,西落,ZhongY457,20090612,西藏,3340,河漫滩灌丛草原,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1318864.jpg,,,,,,,,,, +白序黄耆,Astragalus leucocephalus,H.B.G,484,19930729,青海省,3920,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/171756.jpg,,,,,,,,,, +,Astragalus li-nii,常朝阳、刘培亮、刘亚斌,2013061,20130722,西藏自治区,4560,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0534151.jpg,,,,,,,,,, +,Astragalus malcolmii,郭柯,k-166,19900801,青海省,4870,河滩 砾石质滩地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01606107.jpg,,,,,,,,,, +,Astragalus malcolmii,青藏队藏北分队郎楷永,9833,19760725,西藏自治区,5100,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00185352.jpg,,,,,,,,,, +短茎黄耆,Astragalus malcolmii,张林、李星月、张晓严,3-523,20180624,西藏,5056,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023783.jpg,,,,,,,,,, +,Astragalus maowensis,,,,,,,,,,,,,,,,,,, +,Astragalus mekongensis,,,,,,,,,,,,,,,,,,, +,Astragalus melanostachys,西植新疆队,1122,1978/7/7,新疆维吾尔族自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0334332.jpg,,,,,,,,,, +黑穗黄耆,Astragalus melanostachys,四川植被队,15072,1977-6 1,四川省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0056565.jpg,,,,,,,,,, +黄芪,Astragalus membranaceus,白荫元 芬茨而,2577,1934/ /,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0074128.jpg,,,,,,,,,, +,Astragalus membranaceus,张代贵|1653,Zdg3524,20110801,湖北,,无,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1318895.jpg,,,,,,,,,, +一人挺,Astragalus membranaceus,,2948,,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0039053.jpg,,,,,,,,,, +黄芪,Astragalus membranaceus var. mongholicus,邢吉庆,21792,1974/5/10,陕西省,400,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0304641.jpg,,,,,,,,,, +黄芪,Astragalus membranaceus var. mongholicus,刘心源,10089,1959/6/21,山西省,,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0321660.jpg,,,,,,,,,, +蒙古黄芪?,Astragalus membranaceus var. mongholicus,李永森,,20000925,山西,,公路边、砂石土,草本,无花有果,https://image.cvh.ac.cn/files/l/SM/SM707200598.jpg,,,,,,,,,, +民和黄耆,Astragalus minhensis,刘尚武,2956,19890717,青海省,2500,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00020974.jpg,,,,,,,,,, +,Astragalus montivagus,,,,,,,,,,,,,,,,,,, +,Astragalus multiceps,,,,,,,,,,,,,,,,,,, +,Astragalus munroi,,1393,,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00279779.jpg,,,,,,,,,, +,Astragalus munroi,青藏队,76-8116,19760630,西藏自治区,3600,山坡砂砾地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00186840.jpg,,,,,,,,,, +,Astragalus nanfengensis,,,,,,,,,,,,,,,,,,, +,Astragalus nangxianensis,罗建、汪书丽、任德智,L053,20100903,西藏自治区,0~3132,村边草地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286255.jpg,,,,,,,,,, +,Astragalus nangxianensis,罗建,汪书丽,任德智,L053,20100903,西藏,3132,村边草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1318915.jpg,,,,,,,,,, +,Astragalus nematodioides,"李渤生,郑度,郭柯,张百平",11643,19880617,新疆维吾尔自治区,2400~2900,草甸草原山地草原中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278727.jpg,,,,,,,,,, +,Astragalus nematodioides,青藏队,9010,19760812,西藏自治区,5100,石灰岩碎石坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0600076.jpg,,,,,,,,,, +耐麻套黄芪,Astragalus nematodioides,王生新,1026,19730725,青海省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/171226.jpg,,,,,,,,,, +刺叶柄黄耆,Astragalus oplites,西植新疆队,1212,1978/7/17,新疆维吾尔族自治区,4580,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0334572.jpg,,,,,,,,,, +,Astragalus oplites,,41,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00187023.jpg,,,,,,,,,, +刺叶柄黄耆,Astragalus oplites,西植新疆队,946,19780704,新疆维吾尔自治区,3520,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0333714.jpg,,,,,,,,,, +,Astragalus oreocharis,倪志诚 汪永泽 次多 次旦,160,19800623,西藏自治区,3900,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00186096.jpg,,,,,,,,,, +,Astragalus peduncularis,郑斯绪,301,19600617,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00460939.jpg,,,,,,,,,, +,Astragalus peduncularis,傅沛云,714,19590712,吉林省,,水流旁湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278555.jpg,,,,,,,,,, +青藏黄耆,Astragalus peduncularis,青藏队植被组,12897,19760629,西藏自治区,3520,河岸,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0535324.jpg,,,,,,,,,, +,Astragalus polyacanthus,青藏队植被组,4042,19750619,西藏自治区,3600,卡达河北岸阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00055432.jpg,,,,,,,,,, +,Astragalus praeteritus,杨竞生,91-479,19910629,西藏自治区,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278376.jpg,,,,,,,,,, +,Astragalus pycnorhizus,汤宗孝等,692,19810725,云南省,3680,草甸草场,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802501.jpg,,,,,,,,,, +,Astragalus pycnorhizus,青藏队草原组,6988,19750716,西藏自治区,3800,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01539161.jpg,,,,,,,,,, +,Astragalus rhizanthus,张永田,郎楷永,3853,19660611,西藏自治区,3750,山坡,草地,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0600318.jpg,,,,,,,,,, +,Astragalus rhododendrophilus,,,,,,,,,,,,,,,,,,, +,Astragalus rigidulus,青藏科考队,12479,19760725,西藏自治区,3800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490777.jpg,,,,,,,,,, +,Astragalus rigidulus,"郎楷永,李良千,费勇",2019,19830625,四川省,3300,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490775.jpg,,,,,,,,,, +坚硬黄耆,Astragalus rigidulus,任宪威,781045,19780625,西藏,3200,,,有花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00025585.jpg,,,,,,,,,, +糙叶黄芪,Astragalus scaberrimus,黄河队,5683,19560802,甘肃省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082143.jpg,,,,,,,,,, +糙叶黄耆,Astragalus scaberrimus,黄迎新,528,20150715,吉林省白城市,155,草甸/盐化低地草甸/草甸土,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0229096.jpg,,,,,,,,,, +糙叶黄芪,Astragalus scaberrimus,何小兰,1128,19890723,青海省,2200,干滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279709.jpg,,,,,,,,,, +,Astragalus sikkimensis,,,,,,,,,,,,,,,,,,, +,Astragalus stalinskyi,崔乃然,9606071,19960615,新疆维吾尔自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00279774.jpg,,,,,,,,,, +,Astragalus stalinskyi,V.Goloskokov,,19630528,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00187690.jpg,,,,,,,,,, +,Astragalus stipulatus,西藏中草药普查队,1448,19720824,西藏自治区,2700,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01539458.jpg,,,,,,,,,, +大托叶黄耆,Astragalus stipulatus,四川经济植物考察队,91,1959-4 2,四川省,900,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0077706.jpg,,,,,,,,,, +黄芪属,Astragalus stipulatus,寥世荣 次多 次旦 倪志诚,2480,19810926,西藏,2700,河谷路边草地,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0003778.jpg,,,,,,,,,, +笔直黄耆,Astragalus strictus,路端正,,19940801,新疆,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00025614.jpg,,,,,,,,,, +东陵绣球,Astragalus strictus,程斯佳,BJTC009180,20190701,北京市,1067,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC009180.jpg,,,,,,,,,, +,Astragalus strictus,汤宗孝,679,19810724,云南省,3780,灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00460945.jpg,,,,,,,,,, +,Astragalus subansiriensis,,,,,,,,,,,,,,,,,,, +,Astragalus subuliformis,,,,,,,,,,,,,,,,,,, +,Astragalus tatsienensis var. kangrenbuchiensis,,,,,,,,,,,,,,,,,,, +,Astragalus tenuicaulis,青藏队,74-2564,19740915,西藏自治区,3100,山坡乔松林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00187975.jpg,,,,,,,,,, +黄芪属,Astragalus tibeticola,郭柯,K-204,19900811,青海省,4630,洪冲积扇,下部,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099306.jpg,,,,,,,,,, +黄芪属,Astragalus tibeticola,郭柯,12484,19880820,新疆维吾尔自治区,4980,片岩风化物上覆沙地 Carex草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072836.jpg,,,,,,,,,, +黄芪属,Astragalus tibeticola,"朱相云,杜玉芬",20045,20000805,西藏自治区,3920,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279944.jpg,,,,,,,,,, +,Astragalus tongolensis var. breviflorus,T. T. Yu,6939,1930,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00059538.jpg,,,,,,,,,, +,Astragalus tongolensis var. breviflorus,K.T.Fu,1036,19370705,甘肃省,2800,on summit,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278054.jpg,,,,,,,,,, +,Astragalus tongolensis var. breviflorus,崔友文,5034,19510728,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278075.jpg,,,,,,,,,, +,Astragalus tongolensis var. glaber,,2485,,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00278053.jpg,,,,,,,,,, +,Astragalus tongolensis var. glaber,张挺,李爱花等,08CS819,20080920,四川,4030,湖边湿地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1319074.jpg,,,,,,,,,, +,Astragalus tongolensis var. glaber,"陈伟烈,陈家瑞,郭柯,闰建平",8245,19840721,四川省,3180,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00490850.jpg,,,,,,,,,, +,Astragalus tsangpoensis,,,,,,,,,,,,,,,,,,, +东坝子黄耆,Astragalus tumbatsicus,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201445,20200803,西藏,2664,林缘草地上,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1508601.jpg,,,,,,,,,, +,Astragalus variabilis,何叶祺,2550,19590531,内蒙古自治区,1500,沙滩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00279463.jpg,,,,,,,,,, +,Astragalus variabilis,谭敦炎,吉乃提等,TanDY0572,20090830,新疆,1713,山地草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1319078.jpg,,,,,,,,,, +变异黄耆,Astragalus variabilis,王贤,,19810801,宁夏,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00072246.jpg,,,,,,,,,, +,Astragalus verus,T.Nadezhdina,233,19540712,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01924907.jpg,,,,,,,,,, +,Astragalus webbianus,青藏队,73-8078,19760628,西藏自治区,4200~4600,河边砾石地或山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278257.jpg,,,,,,,,,, +云南黄耆,Astragalus yunnanensis,冯肈南 朱樊顺,479,19530618,新疆维吾尔自治区,0~600,,,有花有果,https://image.cvh.ac.cn/files/l/N/128078706.jpg,,,,,,,,,, +,Astragalus yunnanensis,青藏队植被组,9789,19760826,西藏自治区,4320,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01539235.jpg,,,,,,,,,, +,Astragalus yunnanensis,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-0570,20080722,西藏,4448,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1319080.jpg,,,,,,,,,, +,Astragalus zacharensis,"李安仁,朱家楠",7006,19580803,新疆维吾尔自治区,2300,石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00278948.jpg,,,,,,,,,, +,Astragalus zacharensis,"关克俭,陈艺林",1774,19590807,山西省,,山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/00279877.jpg,,,,,,,,,, +,Astragalus zacharensis,,6132,19590815,河北省,,耕地附近,,有花有果,https://image.cvh.ac.cn/files/l/PE/00279654.jpg,,,,,,,,,, +黄芪属,Astragalus zadaensis,青藏队植被组,12947,19760703,西藏自治区,3200,旱坡冲沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00185878.jpg,,,,,,,,,, +阳桃,Averrhoa carambola,王崇书,385,19870410,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00500739.jpg,,,,,,,,,, +阳桃,Averrhoa carambola,黄雪彦、黄宝优、李金花,451425150913052LY,20150913,广西,820,灌丛,林缘,石灰土,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0182539.jpg,,,,,,,,,, +阳桃,Averrhoa carambola,黄威廉、屠玉麟,75-0680,19750608,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0004115.jpg,,,,,,,,,, +木奶果,Baccaurea ramiflora,Bruce Gray et al.,14232,19970402,,300,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01923378.jpg,,,,,,,,,, +木奶果,Baccaurea ramiflora,南植地,3181,,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00032074.jpg,,,,,,,,,, +木奶果,Baccaurea ramiflora,吊罗山队,2754,19541122,海南省,,山坡花岗岩砂质壤土灰棕色山坡林中阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00900147.jpg,,,,,,,,,, +,Baijiania decipiens,,,,,,,,,,,,,,,,,,, +,Balakata baccata,P.Srisanga,531,19990318,,1500,山常绿阔叶林,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0004513.jpg,,,,,,,,,, +,Baliospermum angustifolium,"程树志,李渤生",3093,19821126,西藏自治区,1300,灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00900218.jpg,,,,,,,,,, +狭叶斑籽,Baliospermum angustifolium,周仕顺,5083,20080510,云南省,750,河边季雨林中,草本,,https://image.cvh.ac.cn/files/l/HITBC/0004514.jpg,,,,,,,,,, +狭叶斑籽,Baliospermum angustifolium,王洪 李保贵,1021,19961130,,880,沟谷边,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0004515.jpg,,,,,,,,,, +,Baliospermum calycinum,"张挺, 刘成, 郭永杰",08CS969,20081120,云南,,沟边山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1311155.jpg,,,,,,,,,, +,Baliospermum calycinum,陈伟烈,10978,19800708,西藏自治区,900,路边 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494953.jpg,,,,,,,,,, +云南斑籽,Baliospermum calycinum,P.Srisanga,1411,20000525,,1500,Hill evergreen forest,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0004523.jpg,,,,,,,,,, +斑籽,Baliospermum solanifolium,李剑武,XTBGLJW001B05,20180606,云南,1859,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1550369.jpg,,,,,,,,,, +斑籽木,Baliospermum solanifolium,W.Nanakorn,11746,19990210,,700,Frequent in evergreen and bamboo forest,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0004590.jpg,,,,,,,,,, +斑籽木,Baliospermum solanifolium,周仕顺,3309,20051123,云南省,1250,石灰山林中,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0004589.jpg,,,,,,,,,, +水毛茛,Batrachium bungei,何汇珍,1524,1958-08-,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0082615.jpg,,,,,,,,,, +水毛茛,Batrachium bungei,关克俭,952,19570617,新疆维吾尔自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00356724.jpg,,,,,,,,,, +水毛茛,Batrachium bungei,D.E.Boufford et al.,39464,20070811,青海省,3830~4400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859677.jpg,,,,,,,,,, +黄花水毛茛,Batrachium bungei var. flavidum,"李渤生,郑度,张百平",11099,19870818,西藏自治区,4500,湖中溪水处时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01344704.jpg,,,,,,,,,, +黄花水毛茛,Batrachium bungei var. flavidum,陈桂琛、陈世龙、黄志伟,1762,19980724,青海省,3000,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/185302.jpg,,,,,,,,,, +黄花水毛茛,Batrachium bungei var. flavidum,杨竞生,90-496,1990-09-,西藏省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0082622.jpg,,,,,,,,,, +小水毛茛,Batrachium eradicatum,青藏队,572,19810530,云南省,2320,"海子中,海地或浅水中",,有花无果,https://image.cvh.ac.cn/files/l/PE/00440268.jpg,,,,,,,,,, +小水毛茛,Batrachium eradicatum,"黄学文, 乌丽莎",Huangxw2031,20130901,内蒙古,,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1447964.jpg,,,,,,,,,, +小水毛茛,Batrachium eradicatum,Z.Atmanskich,s.n.,19070703,,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01783141.jpg,,,,,,,,,, +毛柄水毛茛,Batrachium trichophyllum,王崇书,125,19590528,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00011466.jpg,,,,,,,,,, +毛柄水毛茛,Batrachium trichophyllum,王崇书,1768,1956-08-,吉林省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0082634.jpg,,,,,,,,,, +毛柄水毛茛,Batrachium trichophyllum,青藏队,73-1312,19730829,西藏自治区,3900,谷地水中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00440316.jpg,,,,,,,,,, +白花羊蹄甲,Bauhinia acuminata,J.O.Viogt,,18310000,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00399226.jpg,,,,,,,,,, +白花羊蹄甲,Bauhinia acuminata,罗旭琴,20180324-011,20180321,贵州,685,石灰岩山地,,无花有果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0010052.jpg,,,,,,,,,, +,Bauhinia acuminata,陈倬,,195709,山东,,,,有花无果,https://image.cvh.ac.cn/files/l/JSPC/JSPC106305.jpg,,,,,,,,,, +鞍叶羊蹄甲,Bauhinia brachycarpa,"傅国勋,张志松",705,19570701,湖北省,,阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/00326930.jpg,,,,,,,,,, +鞍叶羊蹄甲,Bauhinia brachycarpa,"李全喜,赵兴存",2568,19640816,甘肃省,750,江岸公路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01932338.jpg,,,,,,,,,, +鞍叶羊蹄甲,Bauhinia brachycarpa,伊廷双,伊-10622,20070913,四川,1980,村路边,山坡,,果标本,https://image.cvh.ac.cn/files/l/KUN/1319108.jpg,,,,,,,,,, +羊蹄甲,Bauhinia purpurea,旷仁平,LXP03-07115,20150811,江西,,山谷,壤土,疏林,路旁,河边,陆生,乔木,直立,无花无果,https://image.cvh.ac.cn/files/l/HNNU/HNNU00064758.jpg,,,,,,,,,, +羊蹄甲,Bauhinia purpurea,张志翔,赵良成等,FB119966,20200803,西藏,1815,干热河谷,河边悬崖,灌木,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00099408.jpg,,,,,,,,,, +羊蹄甲,Bauhinia purpurea,,,,广东,,,,无花有果,https://image.cvh.ac.cn/files/l/PEM/PEM0004835.jpg,,,,,,,,,, +洋紫荆,Bauhinia variegata,中科院植物所昆明工作站,20216,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0161815.jpg,,,,,,,,,, +,Bauhinia variegata,Anonymous,484,19650426,浙江省,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ019002.jpg,,,,,,,,,, +,Bauhinia variegata,K.K.TSOONGG,,19180303,福州FOOCHOW,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0016037.jpg,,,,,,,,,, +,Begonia aborensis,藏东南考察队 金效华等,SET-ET 1237,20090905,西藏自治区,754,along the forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/02108316.jpg,,,,,,,,,, +,Begonia aborensis,郭永杰,王雨华,杨立新,李姗,18CS16834,20180507,西藏,838,路边树林,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1489506.jpg,,,,,,,,,, +无翅秋海棠,Begonia acetosella,张寿洲、陈真传等人,14722,20050317,云南省 ,1560,林下山沟,,,https://image.cvh.ac.cn/files/l/SZG/SZG00028743.jpg,,,,,,,,,, +无翅秋海棠,Begonia acetosella,PT-ET(Putao Expedition Team): Xiaohua JIN et al.,PT-ET 1206,20141023,,1400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02108313.jpg,,,,,,,,,, +无翅秋海棠,Begonia acetosella,王晖,903006,20090309,广东,60m,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00028734.jpg,,,,,,,,,, +,Begonia annulata,,,,,,,,,,,,,,,,,,, +,Begonia arunachalensis,,,,,,,,,,,,,,,,,,, +,Begonia atrofusca,,,,,,,,,,,,,,,,,,, +,Begonia burkillii,,,,,,,,,,,,,,,,,,, +,Begonia cathcartii,F.Kingdon Ward,41a,19381126,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0532816.jpg,,,,,,,,,, +,Begonia dalaiensis,,,,,,,,,,,,,,,,,,, +秋海棠属,Begonia difformis,Jin xh et al.,ST0648,20130720,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068617.jpg,,,,,,,,,, +,Begonia difformis,"Forrest, George",25207,24-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00299194.jpg,,,,,,,,,, +,Begonia dioica,无,486,,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0532954.jpg,,,,,,,,,, +,Begonia flagellaris,,,,,,,,,,,,,,,,,,, +黄花秋海棠,Begonia flaviflora,Dr.K.Biswas,3761,19400511,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0533020.jpg,,,,,,,,,, +黄花秋海棠,Begonia flaviflora,韩周东,吴优,樊财毅,HZD20065,20200725,云南,2200,中山湿性常绿阔叶林,地生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1488976.jpg,,,,,,,,,, +黄花秋海棠,Begonia flaviflora,西藏中草药普查队,1268,19720818,西藏自治区,2600,林下阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804178.jpg,,,,,,,,,, +浅裂秋海棠,Begonia flaviflora var. gamblei,H.Hara etc.,8880,19600502,,2000,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0533025.jpg,,,,,,,,,, +,Begonia giganticaulis,,,,,,,,,,,,,,,,,,, +,Begonia grandis subsp. sinensis,周太炎等,6144,19590726,山东省,,阴湿石棚下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01392423.jpg,,,,,,,,,, +中华秋海棠,Begonia grandis subsp. sinensis,曾宪锋,ZXF39432,20180924,广东,750,山谷,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0034710.jpg,,,,,,,,,, +,Begonia grandis subsp. sinensis,K.M.Liou,4003,19340927,山西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01392421.jpg,,,,,,,,,, +,Begonia griffithiana,,,,,,,,,,,,,,,,,,, +墨脱秋秋海棠,Begonia hatacoa,"李渤生,程树志",2953,19830312,西藏自治区,1500,常绿阔叶林下时见(多石处),,无花有果,https://image.cvh.ac.cn/files/l/PE/01392576.jpg,,,,,,,,,, +墨脱秋秋海棠,Begonia hatacoa,M.Suzuki et al,88,19880711,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01852982.jpg,,,,,,,,,, +,Begonia iridescens,,,,,,,,,,,,,,,,,,, +重齿秋海棠,Begonia josephi,陈家瑞,92244,19920917,西藏自治区,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841050.jpg,,,,,,,,,, +重齿秋海棠,Begonia josephi,无,2563,18620000,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0533377.jpg,,,,,,,,,, +重齿秋海棠,Begonia josephi,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201073,20200721,西藏,2248,树上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506707.jpg,,,,,,,,,, +重齿秋海棠,Begonia josephii,青藏队补点组,751743,19750828,西藏自治区,2600,林缘湿地岩生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01392665.jpg,,,,,,,,,, +重齿秋海棠,Begonia josephii,无,2563,18620000,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0533377.jpg,,,,,,,,,, +重齿秋海棠,Begonia josephii,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201073,20200721,西藏,2248,树上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506707.jpg,,,,,,,,,, +,Begonia kekarmonyingensis,,,,,,,,,,,,,,,,,,, +,Begonia labordei,余新林,赵玮,BSGLGStc090,20111126,云南,1669,中山湿性常绿阔叶林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1250544.jpg,,,,,,,,,, +心叶秋海棠,Begonia labordei,蒋英,11547,19330821,云南省 ,2500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0235867.jpg,,,,,,,,,, +心叶秋海棠,Begonia labordei,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET 3377,20080720,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108337.jpg,,,,,,,,,, +粗喙秋海棠,Begonia longifolia,王叶晨,1614,20180629,福建,415,林下溪边,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU066474.jpg,,,,,,,,,, +粗喙秋海棠,Begonia longifolia,荔浦县普查队,450331170726070LY,20170726,广西,436,阔叶林,林下,林缘,石灰土,一般野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00415538.jpg,,,,,,,,,, +,Begonia longifolia,华南队,1406,19890911,广西壮族自治区,600,山地,山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/02068691.jpg,,,,,,,,,, +,Begonia lorentzonii,,,,,,,,,,,,,,,,,,, +,Begonia markiana,,,,,,,,,,,,,,,,,,, +,Begonia medogensis,金效华,李剑武,王喜龙,王程旺,19331,20171116,西藏自治区林芝地区,1381,半常绿阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0035712.jpg,,,,,,,,,, +大翅秋海棠,Begonia megaptera,龙春林,153,19910916,云南省,600,沟谷,溪边林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1266022.jpg,,,,,,,,,, +,Begonia megaptera,Praiu etc.,,18980000,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0533674.jpg,,,,,,,,,, +大翅秋海棠,Begonia megaptera,刘景欣,1254,20091111,云南,1803,森林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029171.jpg,,,,,,,,,, +,Begonia nepalensis,无,2592,18620000,,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0533717.jpg,,,,,,,,,, +,Begonia ovatifolia,,,,,,,,,,,,,,,,,,, +,Begonia oyuniae,,,,,,,,,,,,,,,,,,, +裂叶秋海棠,Begonia palmata,荔浦县普查队,450331170726033LY,20170726,广西,420,阔叶林,林下,林缘,黄棕壤,一般野生,草本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00415541.jpg,,,,,,,,,, +,Begonia palmata,蒋英,2035,19290411,广东省,,小庙路边岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01392896.jpg,,,,,,,,,, +,Begonia palmata,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET 2406,20080709,云南省,1650,evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108331.jpg,,,,,,,,,, +,Begonia palmata var. khasiana,青藏队,4074,19740805,西藏自治区,2050,山坡阔叶林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0534038.jpg,,,,,,,,,, +,Begonia pasighatensis,,,,,,,,,,,,,,,,,,, +,Begonia pedunculosa,叶国栋,1046,19790509,福建省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0236238.jpg,,,,,,,,,, +樟木秋海棠,Begonia picta,PE西藏队,PE5859,20170903,西藏自治区,2798,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330321.jpg,,,,,,,,,, +樟木秋海棠,Begonia picta,S.Noshiro et al,9760119,19970816,,1400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01852981.jpg,,,,,,,,,, +,Begonia picta,扎西次仁,ZhongY063,20080728,西藏,3270,阴湿山坡林内石下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1250617.jpg,,,,,,,,,, +,Begonia pseudoheydei,,,,,,,,,,,,,,,,,,, +光滑秋海棠,Begonia psilophylla,中苏队,2723,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0236269.jpg,,,,,,,,,, +,Begonia psilophylla,王启无,2523,19420200,云南,700,林下石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/02232789.jpg,,,,,,,,,, +光滑秋海棠,Begonia psilophylla,倪志诚,181,19830505,西藏自治区,2100,山坡常绿阔叶林林下,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0003912.jpg,,,,,,,,,, +大王秋海棠,Begonia rex,邓世纬,90987,19360919,贵州省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0236256.jpg,,,,,,,,,, +大王秋海棠,Begonia rex,张寿洲,130703,,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00088686.jpg,,,,,,,,,, +蟆叶秋海棠,Begonia rex,吕燕玲,LYL0002,20180703,福建,43~201.3,栽植,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0005193.jpg,,,,,,,,,, +,Begonia roxburghii,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET 0224,20080625,云南省,1278,evergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108322.jpg,,,,,,,,,, +,Begonia roxburghii,无,2561,18620000,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0534179.jpg,,,,,,,,,, +,Begonia rushforthii,,,,,,,,,,,,,,,,,,, +,Begonia scintillans,,,,,,,,,,,,,,,,,,, +,Begonia shilendrae,,,,,,,,,,,,,,,,,,, +锡金秋海棠,Begonia sikkimensis,藏东南考察队 金效华等,SET-ET 1113,20090902,西藏自治区,1554,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108318.jpg,,,,,,,,,, +锡金秋海棠,Begonia sikkimensis,K.Biswas,4647,,,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0534199.jpg,,,,,,,,,, +锡金秋海棠,Begonia sikkimensis,复旦大学,50590,19580800,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/FJFC/FJFC0005402.jpg,,,,,,,,,, +,Begonia sikkimensis var. kamengensis,,,,,,,,,,,,,,,,,,, +厚壁秋海棠,Begonia silletensis,西双版纳植物研究所,TDK00742,20121004,老挝博桥地区,昆曼公路边,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0008030.jpg,,,,,,,,,, +勐养秋海棠,Begonia silletensis,田代科、孟静,TDK00398,20120417,,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0007246.jpg,,,,,,,,,, +厚壁秋海棠,Begonia silletensis,陈岩,8,19841208,云南省,620,水沟边坡上阴湿地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01393317.jpg,,,,,,,,,, +,Begonia tessaricarpa,孙航,周浙昆等,1720,19921128,西藏自治区,650,under forest,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0534228.jpg,,,,,,,,,, +,Begonia thomsonii,无,2570,,,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0534240.jpg,,,,,,,,,, +,Begonia xanthina,,,,,,,,,,,,,,,,,,, +,Begonia zhongyangiana,,,,,,,,,,,,,,,,,,, +冬瓜,Benincasa hispida,杨文柿,132,19860925,贵州,,,,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0079172.jpg,,,,,,,,,, +冬瓜,Benincasa hispida,杨人俊,4448,19650720,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF006723.jpg,,,,,,,,,, +,Benincasa hispida,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180488,20181109,Mon State,,,Vine,有花无果,https://image.cvh.ac.cn/files/l/KUN/1498432.jpg,,,,,,,,,, +山桂花,Bennettiodendron leprosipes,唐盘东,990285,19990523,海南,1000,,,无花有果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0008142.jpg,,,,,,,,,, +,Bennettiodendron leprosipes,周应再,Zhyz-423,20090123,云南,1406,中山湿性常绿阔叶林,乔木,,https://image.cvh.ac.cn/files/l/KUN/1249783.jpg,,,,,,,,,, +山桂花,Bennettiodendron leprosipes,吊罗山队,2344,19541110,海南省,500,山岭花岗岩山谷阴处林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01249858.jpg,,,,,,,,,, +,Berberis aggregata,胡君、王东超、李丽、唐露,SC-a-086-B04,20180813,西藏,,高山栎群落中,半常绿灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00608581.jpg,,,,,,,,,, +堆花小檗,Berberis aggregata,贵州队,2675,19600619,青海省,2440,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01037151.jpg,,,,,,,,,, +,Berberis aggregata,吴中伦,41867,19590705,云南,3200,高山栎岩石旁,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00009587.jpg,,,,,,,,,, +有棱小檗,Berberis angulosa,田景全,309,19600804,北京市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839195.jpg,,,,,,,,,, +有棱小檗,Berberis angulosa,M.Iabbe Delavay,,18860523,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1221655.jpg,,,,,,,,,, +小檗属,Berberis angulosa,西藏生物所植物组,40,19880712,西藏,3950,高山灌丛草原化草甸,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0001891.jpg,,,,,,,,,, +,Berberis aristata,H.H.Chung,,19170912,,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/038774.jpg,,,,,,,,,, +,Berberis aristata,,,,江西省,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/093057018.jpg,,,,,,,,,, +具芒小檗,Berberis aristata,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201178,20200723,西藏,2128,荒坡上,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507002.jpg,,,,,,,,,, +,Berberis asiatica,,75-235,19750620,西藏自治区,2400,路旁杂灌,,无花有果,https://image.cvh.ac.cn/files/l/PE/01293945.jpg,,,,,,,,,, +,Berberis asiatica,S.Akiyama et al.,20100403,20010518,,1470,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920038.jpg,,,,,,,,,, +黑果小檗,Berberis atrocarpa,罗建等,LuoJian-XZ-0928,20091002,西藏自治区,3330,灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900251.jpg,,,,,,,,,, +黑果小檗,Berberis atrocarpa,高信芬、彭玉兰、高云东、余奇,THP-KD-0123,20170426,四川,1429,,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253077.jpg,,,,,,,,,, +绥江小糪,Berberis atrocarpa,冯国楣等,73-179,19731005,云南,1500,灌木林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1204013.jpg,,,,,,,,,, +,Berberis atroviridiana,C.W.Wang,66536,19350900,西藏自治区,3200,Oak woods,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00314337.jpg,,,,,,,,,, +,Berberis atroviridiana,C. W. Wang,66536,Sep-35,,3200,,,,https://image.cvh.ac.cn/files/l/HUH/A00279988.jpg,,,,,,,,,, +,Berberis basumchuensis,,,,,,,,,,,,,,,,,,, +,Berberis baxoiensis,,,,,,,,,,,,,,,,,,, +,Berberis buchananii,青藏队,5520,19750605,西藏自治区,3400,山坡,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840011.jpg,,,,,,,,,, +,Berberis chitria,Koji Yonekura,7675,20010516,,2750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01523836.jpg,,,,,,,,,, +,Berberis chitria,西藏中草药普查队,1104,19720813,西藏自治区,2300,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/30244.jpg,,,,,,,,,, +,Berberis chrysophaera,,,,,,,,,,,,,,,,,,, +雅洁小檗,Berberis concinna,方震东、和光、杨亲二,XZ-034,20070920,西藏自治区,2592,云南松林下,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002127.jpg,,,,,,,,,, +,Berberis cornuta,,,,,,,,,,,,,,,,,,, +,Berberis dasyclada,,,,,,,,,,,,,,,,,,, +黑石珠,Berberis dictyophylla var. epruinosa,田瑞明,48,19860710,贵州省,,生于向阳路旁,,无花无果,https://image.cvh.ac.cn/files/l/GZTM/0011418.jpg,,,,,,,,,, +无粉刺红珠,Berberis dictyophylla var. epruinosa,魏来、郝加琛,15377,20150728,西藏,3977,路边山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0025902.jpg,,,,,,,,,, +无粉刺红珠,Berberis dictyophylla var. epruinosa,"张永田,郞楷永",1470,19650807,西藏自治区,4750,草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037837.jpg,,,,,,,,,, +珠峰小檗,Berberis everestiana,PE西藏队,PE6132,20170907,西藏自治区,4474,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333158.jpg,,,,,,,,,, +珠峰小檗,Berberis everestiana,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00049410.jpg,,,,,,,,,, +小檗属,Berberis everestiana,倪志诚 次多 次旦 廖世荣,2055,19810907,西藏,4100,高山灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001882.jpg,,,,,,,,,, +滇西北小檗,Berberis franchetiana,张相宜、成瑞瑜、郭泳棂,CRY-00-AA-10-039,20200924,四川,3909,高山草甸,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02063599.jpg,,,,,,,,,, +,Berberis franchetiana,T. T. Yu,7864,1937/11/4,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00038751.jpg,,,,,,,,,, +滇西北小檗,Berberis franchetiana,西藏中草药普查队,3082,19720529,西藏自治区,3600,半阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839950.jpg,,,,,,,,,, +湖北小檗,Berberis gagnepainii,陈少卿,399,19420404,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00012752.jpg,,,,,,,,,, +湖北小檗,Berberis gagnepainii,张寿洲、王晖,1405207,20140518,西藏自治区,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00099319.jpg,,,,,,,,,, +湖北小檗,Berberis gagnepainii,,75-355,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00013825.jpg,,,,,,,,,, +错那小檗,Berberis griffithiana,邬文祥,10212,19990513,云南省,,山坡路旁,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00582443.jpg,,,,,,,,,, +灰叶小檗,Berberis griffithiana,"刘成, 亚吉东",18CS17284,20181125,西藏,1848,不丹松林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487478.jpg,,,,,,,,,, +错那小檗,Berberis griffithiana,B. Bartholomew ,1577,19840507,,2850,on the road between Bumtahang and tongsa,,有花无果,https://image.cvh.ac.cn/files/l/PE/01031187.jpg,,,,,,,,,, +错那小檗,Berberis griffithiana var. pallida,邬文祥,10212,19990513,云南省,,山坡路旁,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00582443.jpg,,,,,,,,,, +,Berberis griffithiana var. pallida,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",12518,25-May-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00438522.jpg,,,,,,,,,, +灰叶小檗,Berberis griffithiana var. pallida,高信芬、彭玉兰、赵会礼,4362,20030423,四川,3250-3300,山坡灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0098340.jpg,,,,,,,,,, +,Berberis hookeri,西藏中草药普查队,1290,19720818,西藏自治区,2600,林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037750.jpg,,,,,,,,,, +,Berberis hookeri,M.Suzuki etc.,9460308,19940812,,2690,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1264378.jpg,,,,,,,,,, +烦果小檗,Berberis ignorata,庄平 冯正波 张超,980119,19980923,四川省,3200,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/019722.jpg,,,,,,,,,, +黑果小檗,Berberis ignorata,刘正宇,975207-01,19990923,重庆,720,杂木林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0053849.jpg,,,,,,,,,, +烦果小檗,Berberis ignorata,王辰,,20110623,西藏,4100~4500,草甸,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0047931.jpg,,,,,,,,,, +,Berberis insignis,戴天伦,107141,19580904,重庆市,1400,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01544502.jpg,,,,,,,,,, +球果小檗,Berberis insignis,T. T. Yu,21045,19381120,云南省,1600,among woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037184.jpg,,,,,,,,,, +球果小檗,Berberis insignis,白洪兵、海仙,5333241812071334LY,20181207,云南,1412,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009715.jpg,,,,,,,,,, +球果小檗,Berberis insignis subsp. incrassata,,24738,19591126,云南省,1300,江边阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01031102.jpg,,,,,,,,,, +球果小檗,Berberis insignis subsp. incrassata,"M.Suzuki,N.Naruhashi cet",80457,19880714,,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0176307.jpg,,,,,,,,,, +球果小檗,Berberis insignis subsp. incrassata,白洪兵、海仙,5333241812071334LY,20181207,云南,1412,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009715.jpg,,,,,,,,,, +,Berberis lhunzensis,,,,,,,,,,,,,,,,,,, +,Berberis lhunzhubensis,,,,,,,,,,,,,,,,,,, +,Berberis macrosepala,,,,,,,,,,,,,,,,,,, +,Berberis markamensis,,,,,,,,,,,,,,,,,,, +小花小檗,Berberis minutiflora,余奇、熊先华、李琳霖,THP-KD-3925,20170807,四川,3437-3534,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0240057.jpg,,,,,,,,,, +小花小檗,Berberis minutiflora,,2751,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037713.jpg,,,,,,,,,, +小花小檗,Berberis minutiflora,刘慎谔,18020,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01037712.jpg,,,,,,,,,, +阿墩小檗,Berberis muliensis var. atuntzeana,,13224,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037723.jpg,,,,,,,,,, +,Berberis muliensis var. atuntzeana,王乾、顾健,SCW1531,20200622,四川,3506,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0267023.jpg,,,,,,,,,, +阿墩小檗,Berberis muliensis var. atuntzeana,PE西藏队,PE6696,20170914,西藏自治区,3934,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333168.jpg,,,,,,,,,, +,Berberis nujiangensis,,,,,,,,,,,,,,,,,,, +,Berberis nyingchiensis,,,,,,,,,,,,,,,,,,, +,Berberis orthobotrys,"近田文弘,郎楷永",426,19870906,新疆维吾尔自治区,1080,附近山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01196938.jpg,,,,,,,,,, +,Berberis orthobotrys,西藏队 黄荣福,549,19790707,西藏自治区,3600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/85285.jpg,,,,,,,,,, +等萼小檗,Berberis parisepala,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00049409.jpg,,,,,,,,,, +,Berberis pluvisylvatica,,,,,,,,,,,,,,,,,,, +粉叶小檗,Berberis pruinosa,张英伯,75,19401010,云南省 ,2200,Road side,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0176942.jpg,,,,,,,,,, +粉叶小檗,Berberis pruinosa,"张德全, 王应龙, 陈琪, 杨航, 文青华",ZDQ025,20151018,云南,2524,山坡灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1447895.jpg,,,,,,,,,, +粉叶小檗,Berberis pruinosa,"南水北调队,姜恕",5502,19600429,四川省,3000,低山阴处黄棕色土,云南松高山档林沿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01031700.jpg,,,,,,,,,, +,Berberis qamdoensis,,,,,,,,,,,,,,,,,,, +,Berberis replicata,"Forrest, George",9545,13-Feb,,,,,,https://image.cvh.ac.cn/files/l/E/E00117377.jpg,,,,,,,,,, +卷叶小檗,Berberis replicata,罗建、汪书丽、任德智,LiuJQ-131,20090613,西藏自治区,0~2909,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0288488.jpg,,,,,,,,,, +卷叶小檗,Berberis replicata,张寿洲、王亚玲、巫锡良等,Y0105,20091022,福建省,2050,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00120367.jpg,,,,,,,,,, +锡金小檗,Berberis sikkimensis,Ch.Wang,s.n.,,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01030894.jpg,,,,,,,,,, +锡金小檗,Berberis sikkimensis,PE西藏队,PE5495,20170831,西藏自治区,3583,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333130.jpg,,,,,,,,,, +锡金小檗,Berberis sikkimensis,庄平 冯正波 张超,980164,19981001,四川省,3250,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/019710.jpg,,,,,,,,,, +华西小檗,Berberis silva-taroucana,Chen Zhiduan et al.,960586,19960528,重庆市,1520,Damp valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839985.jpg,,,,,,,,,, +华西小檗,Berberis silva-taroucana,,4607A,,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01033042.jpg,,,,,,,,,, +华西小檗,Berberis silva-taroucana,黄仁煌,338,19740813,湖北省,700,,,无花有果,https://image.cvh.ac.cn/files/l/HIB/0129536.jpg,,,,,,,,,, +日本小檗,Berberis thunbergii,"朱鑫鑫,闫明慧,王君,石琳琳,徐坤,王雨鑫",ZHUXX275,20171120,河南,451,亚热带针阔混交林,植物园中,灌木,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0148783.jpg,,,,,,,,,, +小檗,Berberis thunbergii,李鑫,XM6321,20160825,内蒙古自治区,1200,林间草地,,有花或有果,https://image.cvh.ac.cn/files/l/PE/02310042.jpg,,,,,,,,,, +日本小檗,Berberis thunbergii,森202一小组,,19560618,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0017597.jpg,,,,,,,,,, +尤里小檗,Berberis ulicina,李渤生,10737,19870721,新疆维吾尔自治区,3600,草丛中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352424.jpg,,,,,,,,,, +尤里小檗,Berberis ulicina,,K109,19870901,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01352412.jpg,,,,,,,,,, +尤里小檗,Berberis ulicina,生物研究所西藏考察队,4097,19740820,西藏自治区,3750,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/40635.jpg,,,,,,,,,, +变绿小檗,Berberis virescens,樊映汉,188,19590911,北京市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01811985.jpg,,,,,,,,,, +变绿小檗,Berberis virescens,"李文华,胡勇",H81-33,19810526,云南省,3100,高山松疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840109.jpg,,,,,,,,,, +变绿小檗,Berberis virescens,Ho Ting-nung et al.,102,19930721,青海省,3100~3200,"Steep crumbling mudstone slopes,some rocky outcrops near river,Artemisia dubia and Stipa,of the bare,Amongst Artemesia dubia",,有花无果,https://image.cvh.ac.cn/files/l/PE/01840127.jpg,,,,,,,,,, +瓦氏小蘖、大黄连,Berberis wallichiana,,4756,19180827,,,,,无花有果,https://image.cvh.ac.cn/files/l/TIE/00009535.jpg,,,,,,,,,, +瓦氏小蘖、大黄连,Berberis wallichiana,,2588,19160817,山西省,,,,无花有果,https://image.cvh.ac.cn/files/l/TIE/00009534.jpg,,,,,,,,,, +金花小檗,Berberis wilsoniae,鞠文彬,郑臣臣,THP-KD-6688,20170818,四川,3629,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251732.jpg,,,,,,,,,, +古宗金花小檗,Berberis wilsoniae,Harry Smith,4724,19220922,四川省,3500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01037071.jpg,,,,,,,,,, +,Berberis wilsoniae,刘,784192,19780913,重庆市,1750,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01036923.jpg,,,,,,,,,, +腋花勾儿茶,Berchemia edgeworthii,,23226,19590825,云南省,3700,石山稀蔬灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01637192.jpg,,,,,,,,,, +腋花勾儿茶,Berchemia edgeworthii,谭密红,CS4243,20080630,贵州,,林下,小灌木,无花无果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0005555.jpg,,,,,,,,,, +腋花勾儿茶,Berchemia edgeworthii,陈又生等,45,20111008,西藏自治区,3713,干山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967737.jpg,,,,,,,,,, +黄背勾儿茶,Berchemia flavescens,张代贵,zdg6107,20120714,湖北神农架林区,,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU29038.jpg,,,,,,,,,, +黄背勾儿茶,Berchemia flavescens,岳俊三等,3712,19630823,江西省,1200,山谷林下灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/00062679.jpg,,,,,,,,,, +黄背勾儿茶,Berchemia flavescens,周应再,ZhouYZ047,20160525,云南,2087,中山湿性常绿阔叶林,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1457424.jpg,,,,,,,,,, +,Berchemia floribunda,方建新,TangXS0852,20150510,安徽,132,林中,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1453652.jpg,,,,,,,,,, +,Berchemia floribunda,"朱鑫鑫, 王君, 林庶, 梁俊生, 方东升",ZXX19770,20190713,河南,695,亚热带针阔混交林,山坡上,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486382.jpg,,,,,,,,,, +多花勾儿茶,Berchemia floribunda,D.E.Boufford et al.,37755,20070519,甘肃省,2320~2725,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814615.jpg,,,,,,,,,, +云南勾儿茶,Berchemia yunnanensis,赵清盛 伍煜庭,110914,1974/5/9,四川,2400,,灌木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0303321.jpg,,,,,,,,,, +云南勾儿茶,Berchemia yunnanensis,,2432,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00039661.jpg,,,,,,,,,, +云南勾儿茶,Berchemia yunnanensis,"于胜祥,候元同等",5173,20110810,西藏自治区,3046,沿途路旁,山坡沙质,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003558.jpg,,,,,,,,,, +,Bergenia ciliata,,s.n.,19671103,西藏自治区,2300,松树林缘草地上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803892.jpg,,,,,,,,,, +,Bergenia ciliata,泛喜马拉雅植物志巴基斯坦采集队,FPH-0703,20120624,,3800~4010,"Forest(Picea,Abies,Pinus),Alpine meadow lake",,有花无果,https://image.cvh.ac.cn/files/l/PE/02004741.jpg,,,,,,,,,, +岩白菜属,Bergenia ciliata,倪志诚 次多 次旦 廖世荣,2238,19810914,西藏,2750,东木林中巨岩石上,,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0002639.jpg,,,,,,,,,, +舌岩白菜,Bergenia pacumbis,俞德俊,12292,1938-07-,云南省,3700,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0144950.jpg,,,,,,,,,, +舌岩白菜,Bergenia pacumbis,,460,19720607,西藏自治区,2380,岩石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00861785.jpg,,,,,,,,,, +岩白菜,Bergenia purpurascens,C.W. Wang,64582,1935/07/,云南省 ,3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0038412.jpg,,,,,,,,,, +岩白菜,Bergenia purpurascens,59176部队,3779,19810714,海南省,150,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00863460.jpg,,,,,,,,,, +岩白菜,Bergenia purpurascens,P.J.M.Delavay,,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1230206.jpg,,,,,,,,,, +短柄岩白菜,Bergenia stracheyi,J.F.ROCK,17769,19290600,四川省,0~4550,,,有花无果,https://image.cvh.ac.cn/files/l/N/117066061.jpg,,,,,,,,,, +短柄岩白菜,Bergenia stracheyi,T.N. Liou ,5698,19321022,,492,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01666048.jpg,,,,,,,,,, +西桦,Betula alnoides,刘正宇、林茂祥等,S-0646,20160312,重庆,1069,荒地,乔木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051565.jpg,,,,,,,,,, +西桦,Betula alnoides,环江县普查队,451226130317039LY,20130317,广西,1132,阔叶林,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0112852.jpg,,,,,,,,,, +西桦,Betula alnoides,Tenzel,584,1934/5/27,陕西省,,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0072741.jpg,,,,,,,,,, +,Betula ashB?rneri,,,,,,,,,,,,,,,,,,, +长穗桦,Betula cylindrostachya,刘正宇,231,19790424,重庆市,1000,林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0028654.jpg,,,,,,,,,, +,Betula cylindrostachya,汤庚国,1642,19890711,吉林,2300,林中,105道旁,乔木,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2019640.jpg,,,,,,,,,, +长穗桦,Betula cylindrostachya,,420,19730900,广西壮族自治区,700,砂质岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984190.jpg,,,,,,,,,, +细穗高山桦,Betula delavayi var. microstachya,高云东,陈德奎,THP-KD-0205,20170427,四川,2500,,小乔木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253008.jpg,,,,,,,,,, +细穗高山桦,Betula delavayi var. microstachya,张泽荣,362,19760620,西藏,,山坡,竹林,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM701800094.jpg,,,,,,,,,, +细穗高山桦,Betula delavayi var. microstachya,青藏队,1481,19730621,西藏自治区,3200,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01057987.jpg,,,,,,,,,, +,Betula pendula subsp. szechuanica,D.E.Boufford et al.,38169,20090725,四川省,3680,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02015306.jpg,,,,,,,,,, +,Betula pendula subsp. szechuanica,D.E.Boufford et al.,41499,20090731,西藏自治区,3600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02015307.jpg,,,,,,,,,, +白桦,Betula platyphylla,"傅德志,刘夙,王英伟等",237,20070722,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043965.jpg,,,,,,,,,, +白桦,Betula platyphylla,林型组,0,195408,内蒙,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0023256.jpg,,,,,,,,,, +白桦,Betula platyphylla,H.H.Chung,s.n.,,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00801802.jpg,,,,,,,,,, +,Betula utilis,彭玉兰、涂卫国、幸福,Gaoxf367,20080718,四川,3800,,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0206186.jpg,,,,,,,,,, +糙皮桦,Betula utilis,,1075,19650824,北京市,2100,山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01218188.jpg,,,,,,,,,, +糙皮桦,Betula utilis,泛喜马拉雅植物志巴基斯坦采集队,FPH-0385,20120621,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02005132.jpg,,,,,,,,,, +膝柄木,Bhesa robusta,,69031,19570902,广西壮族自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0249283.jpg,,,,,,,,,, +膝柄木,Bhesa robusta,李国凤,63718,19570823,四川省,1520,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/660955.jpg,,,,,,,,,, +膝柄木,Bhesa robusta,东兴市普查队,450681181015002LY,20181015,广西,3,针阔混交林,林缘,偶见野生,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00418288.jpg,,,,,,,,,, +,Biancaea decapetala,,,,,,,,,,,,,,,,,,, +熏倒牛,Biebersteinia heterostemon,黄土队,4303,1985/8/6,宁夏回族自治区,2300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0460679.jpg,,,,,,,,,, +熏倒牛,Biebersteinia heterostemon,,87317,19870624,新疆维吾尔自治区,690,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02103132.jpg,,,,,,,,,, +,Biebersteinia heterostemon,郭淑青,杜品,LiuJQ-2012-GN-244,20120821,甘肃,2942,亚高山草甸坡地、路边,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1246636.jpg,,,,,,,,,, +高山熏倒牛,Biebersteinia odora,Ludlow & Sherriff ,8412,19410618,,5333,Dry hill slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/00108468.jpg,,,,,,,,,, +高山熏倒牛,Biebersteinia odora,青藏队,8681,19760817,西藏自治区,5100,高山流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00108465.jpg,,,,,,,,,, +熏倒牛属,Biebersteinia odora,倪志诚 次多 次旦,3114,19820823,西藏,2900,江边沙地,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0004051.jpg,,,,,,,,,, +,Biophytum fruticosum,王洪,5028,20010729,云南省,1600,沟谷阴湿,,无花无果,https://image.cvh.ac.cn/files/l/PE/01681041.jpg,,,,,,,,,, +分枝感应草,Biophytum fruticosum,俞德俊,3160,,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0226540.jpg,,,,,,,,,, +分枝感应草,Biophytum fruticosum,美登木调查队,13835,19760304,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/007120.jpg,,,,,,,,,, +,Biophytum reinwardtii,刘心祈,26048,19360403,海南省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00112104.jpg,,,,,,,,,, +,Biophytum reinwardtii,陈立卿,92753,,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00112105.jpg,,,,,,,,,, +,Biophytum reinwardtii,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0226548.jpg,,,,,,,,,, +秋枫,Bischofia javanica,"T.Y.Aleck Yang,C.H. Chu",8017,19970422,台湾,50,无,,,https://image.cvh.ac.cn/files/l/KUN/1285181.jpg,,,,,,,,,, +秋枫,Bischofia javanica,钱重海,1185,1956/4/20,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0310595.jpg,,,,,,,,,, +,Bischofia javanica,王功范,1-1057,20050415,贵州省,900,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01680761.jpg,,,,,,,,,, +双尖苎麻,Boehmeria bicuspis,"X.H.Jin,Y.S.Chen,H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q.",DLJ-ET 0908,20080701,云南省,1876,evergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108248.jpg,,,,,,,,,, +双尖苎麻,Boehmeria bicuspis,"应俊生,洪德元",650575,19650715,西藏自治区,2500,密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00471651.jpg,,,,,,,,,, +双尖苎麻,Boehmeria bicuspis,方震东,K-1700,20020928,云南,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008784.jpg,,,,,,,,,, +,Boehmeria clidemioides,李帮义,6293,20051020,湖南省,1000,山谷 水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602600.jpg,,,,,,,,,, +,Boehmeria clidemioides,"何明高,付婷婷,水庆艳",HuangZY0164,20081004,河南省,1069,暖温带落叶阔叶林间,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1327287.jpg,,,,,,,,,, +序叶苎麻,Boehmeria clidemioides,葛斌杰、钟鑫、刘晓瞳、胡婷,ZX02671,20160823,浙江,1038,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0127075.jpg,,,,,,,,,, +序叶苎麻,Boehmeria clidemioides var. diffusa,李小杰,LiXJ681,20141007,四川,,山坡林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395337.jpg,,,,,,,,,, +,Boehmeria clidemioides var. diffusa,三峡考察队,3007,20090831,重庆市,1250~690,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01868075.jpg,,,,,,,,,, +序叶苎麻,Boehmeria clidemioides var. diffusa,吴宝成,2557,20140912,重庆,,山坡路边,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00590565.jpg,,,,,,,,,, +,Boehmeria conica,C.J.Chen,40,20010723,云南省,2150,edge of forest,,无花无果,https://image.cvh.ac.cn/files/l/PE/01847057.jpg,,,,,,,,,, +,Boehmeria conica,"李渤生,程树志等",4543,19830507,西藏自治区,,江边 Ficus林下多见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00934406.jpg,,,,,,,,,, +,Boehmeria conica,A. Henry,12070,,,,,,,https://image.cvh.ac.cn/files/l/NY/01104460.jpg,,,,,,,,,, +,Boehmeria dolichostachya var. mollis,金效华,YN-ET 1257,20090714,云南省,2000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862387.jpg,,,,,,,,,, +,Boehmeria dolichostachya var. mollis,周沛椿,10072,19590704,广东省,400,山地山谷、草丛、路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551018.jpg,,,,,,,,,, +,Boehmeria dolichostachya var. mollis,,75-728,19750717,西藏自治区,2000,常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551021.jpg,,,,,,,,,, +腋球苎麻,Boehmeria glomerulifera,黄威廉,103,19630628,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0002560.jpg,,,,,,,,,, +腋球苎麻,Boehmeria glomerulifera,"蔡杰, 杨雪飞, 杨珺, Tial Cung Ling",15CS10776,20151221,曼德勒MyingyanKyaukpadaung,864,In the forest.,半灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1446691.jpg,,,,,,,,,, +腋球苎麻,Boehmeria glomerulifera,德保县普查队,451024150627070LY,20150627,广西壮族自治区,886,阔叶林,林下,黄棕壤,少见野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00410007.jpg,,,,,,,,,, +细序苎麻,Boehmeria hamiltoniana,税玉民等,13799,20001018,云南省,500,in the second forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862385.jpg,,,,,,,,,, +细序苎麻,Boehmeria hamiltoniana,"殷建涛,李剑武",1908,20101209,云南,1000,河边沟谷雨林,灌木,无花无果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030239.jpg,,,,,,,,,, +细序苎麻,Boehmeria hamiltoniana,柏淑环,201817411,20180424,贵州省,502.3,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0023317.jpg,,,,,,,,,, +横断山萱麻,Boehmeria hengduanshanica,北京所横断山队,1257,19810710,云南省,1880,残遗常绿阔叶林水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050241.jpg,,,,,,,,,, +横断山萱麻,Boehmeria hengduanshanica,Anonymous,401,19730711,西藏自治区,2200,湿润山谷常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050242.jpg,,,,,,,,,, +薮苎麻,Boehmeria japonica,肖简文,5837,20030910,贵州省,850,林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846667.jpg,,,,,,,,,, +薮苎麻,Boehmeria japonica,"简焯坡,应俊生,马成功等",401095,19640812,福建省,600,山坡潮湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036080.jpg,,,,,,,,,, +,Boehmeria japonica,N.Sheng & al.,T048,19961115,江苏,,山坡林下,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00600955.jpg,,,,,,,,,, +,Boehmeria listeri,,,,,,,,,,,,,,,,,,, +水苎麻,Boehmeria macrophylla,路端正,,19811128,湖南省,400,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00041782.jpg,,,,,,,,,, +,Boehmeria macrophylla,"高信芬,彭玉兰等",3590,20020916,四川省,2000,溪沟路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847381.jpg,,,,,,,,,, +水苎麻,Boehmeria macrophylla,"郭永杰, 刘成, 亚吉东, 张桥蓉",16CS13750,20160927,浙江,32,路边,半灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1457744.jpg,,,,,,,,,, +圆叶水苎麻(变种) ,Boehmeria macrophylla var. rotundifolia,王磊,450124140721033LY,20140722,广西壮族自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0154134.jpg,,,,,,,,,, +圆叶苎麻,Boehmeria macrophylla var. rotundifolia,"金效华,张书东,Li Zhongyang,Wu Baocheng,Mu Xianyun,Li Jin",STET2027,20100802,西藏自治区,800,无,,,https://image.cvh.ac.cn/files/l/KUN/1277646.jpg,,,,,,,,,, +,Boehmeria macrophylla var. rotundifolia,韩周东,HZD15021,20150502,云南省,1295,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892466.jpg,,,,,,,,,, +糙叶水苎麻,Boehmeria macrophylla var. scabrella,,2369,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00575040.jpg,,,,,,,,,, +,Boehmeria macrophylla var. scabrella,"张少华,张诏,程丹丹,辛晓伟,史冉冉,郭雷,高丽丽",lilan682,20131015,山东省,60,温带落叶阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1327410.jpg,,,,,,,,,, +糙叶水苎麻,Boehmeria macrophylla var. scabrella,"王印政,彭华,邓德山等",5189,19981030,云南省,900,山地,路旁,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01869123.jpg,,,,,,,,,, +苎麻,Boehmeria nivea,海南东队,743,19541118,海南省,,高山山脊、山谷、旱田中阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/00494871.jpg,,,,,,,,,, +苎麻,Boehmeria nivea,赵万义、刘忠成、许可旺、张记军、张信坚、杨平、叶矾,Lxp-13-22405,20161101,湖南,960,山坡、壤土、疏林,陆生、灌木、直立,无花有果,https://image.cvh.ac.cn/files/l/SYS/SYS00202389.jpg,,,,,,,,,, +苎麻,Boehmeria nivea,杨仕国等,522632190423173LY,20190423,贵州,887,针阔叶混交林、中生、阳性、中温、酸性土、野生植物,半灌木和小半灌木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0098179.jpg,,,,,,,,,, +长叶苎麻,Boehmeria penduliflora,"余新林, 赵玮",BSGLGStc451,20171126,云南,1603,中山湿性常绿阔叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1453452.jpg,,,,,,,,,, +长叶苎麻,Boehmeria penduliflora,张卢水、陈春林、李家亮,SUZLS03020,20180504,四川,1025,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1559859.jpg,,,,,,,,,, +,Boehmeria penduliflora,Shirin Taihoku-shu,s.n.,19320612,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00495335.jpg,,,,,,,,,, +悬铃木叶苎麻,Boehmeria platanifolia,傅竟秋,2588,19760816,甘肃省,780,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00495354.jpg,,,,,,,,,, +悬铃木叶苎麻,Boehmeria platanifolia,付竟秋等,2588,1976/8/16,甘肃省 ,780,,草本直立,无花有果,https://image.cvh.ac.cn/files/l/WUK/0345805.jpg,,,,,,,,,, +悬铃木叶苎麻,Boehmeria platanifolia,方文哲等,233,19600821,江苏省,450,山坡,竹林下,草丛,阴湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0160781.jpg,,,,,,,,,, +歧序苎麻,Boehmeria polystachya,"姜恕,赵从福",252,19670930,西藏自治区,2100,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01858878.jpg,,,,,,,,,, +歧序苎麻,Boehmeria polystachya,H.T.Tsai,55537,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0357287.jpg,,,,,,,,,, +歧序苎麻,Boehmeria polystachya,H.T.Tsai,56873,19340209,云南省,1750,in forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01858868.jpg,,,,,,,,,, +密毛苎麻,Boehmeria tomentosa,阳朔县普查队,450321180919050LY,20180919,广西,145,阔叶林,沟边,黄棕壤,一般野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00414503.jpg,,,,,,,,,, +密毛苎麻,Boehmeria tomentosa,王启无,77265,19360700,云南省 ,1800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0357370.jpg,,,,,,,,,, +密毛苎麻,Boehmeria tomentosa,方文培,7108,19301017,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00495582.jpg,,,,,,,,,, +,Breynia retusa,金存礼等,7817,19760517,福建省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00900868.jpg,,,,,,,,,, +钝叶黑面神,Breynia retusa,贾彧,522325190611380LY,20190611,贵州,882,灌丛、中生、阳性、中温、钙质土、野生植物,灌木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0094770.jpg,,,,,,,,,, +,Breynia retusa,周仕顺,915,20030703,云南省,1200,公路边山坡次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01680749.jpg,,,,,,,,,, +,Bridelia assamica,,,,,,,,,,,,,,,,,,, +禾串树,Bridelia balansae,Y.Tsiang,7252,19301002,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00411823.jpg,,,,,,,,,, +禾串树,Bridelia balansae,"刘恩德,方伟,朱鑫鑫, 孙增朋",LiuED6807,20161209,云南,,无,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1495223.jpg,,,,,,,,,, +,Bridelia balansae,青,2,19730901,广西壮族自治区,700,砂石岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01315716.jpg,,,,,,,,,, +,Bridelia glauca,Miyoshi Furuse,74,19720623,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01189547.jpg,,,,,,,,,, +膜叶土蜜树,Bridelia glauca,冯国楣,20703,19550505,云南省,540,密林中,密荫,丘陵地,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0182957.jpg,,,,,,,,,, +,Bridelia montana,考察队,31915,19820430,云南省,0~820,河边,乔木,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0734317.jpg,,,,,,,,,, +,Bridelia montana,Y.Tsiang,12120,19330000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00901220.jpg,,,,,,,,,, +波叶土蜜树,Bridelia montana,赵子孝,1687,19330000,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0182956.jpg,,,,,,,,,, +,Bridelia retusa,B.Barhtolomew et D.E.Boufford,3798,19860329,,950,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01111807.jpg,,,,,,,,,, +,Bridelia retusa,邓朝义,5495,20060816,贵州省,,石灰岩山地林中山坡疏密林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239690.jpg,,,,,,,,,, +密脉土蜜树,Bridelia retusa,王启无,74009,19350000,云南省 ,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0182786.jpg,,,,,,,,,, +,Bridelia stipularis,T.N.Liou,L.6215,19321128,,238,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01111721.jpg,,,,,,,,,, +土蜜藤,Bridelia stipularis,Lau S.K.,3203,1934/1/1,海南; HAINAN,,,攀援,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00032773.jpg,,,,,,,,,, +土蜜藤,Bridelia stipularis,曾沛,12551,1963/1/1,海南,200,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00032779.jpg,,,,,,,,,, +戈构,Broussonetia kaempferi,Shiu Ying Hu,13617,19750311,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00557025.jpg,,,,,,,,,, +,Broussonetia kaempferi,侯学良、张若鹏,91785,20180503,福建,,林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/AU/AU069218.jpg,,,,,,,,,, +葡蟠,Broussonetia kaempferi,,0,19220625,广东,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0021749.jpg,,,,,,,,,, +小构树,Broussonetia kazinoki,,BJTC038025,,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC038025.jpg,,,,,,,,,, +小构树,Broussonetia kazinoki,M.Takahashi,1062,19820713,四国,900,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/508183.jpg,,,,,,,,,, +楮,Broussonetia kazinoki,"张挺, 李国峰, 潘勃, 游章平",12CS3990,20120427,广东,794,溪边林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486474.jpg,,,,,,,,,, +构树,Broussonetia papyrifera,白水江采集队,3775,20070429,甘肃省,1450,山坡荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01812660.jpg,,,,,,,,,, +构树,Broussonetia papyrifera,"Go,Youn Jin & Kim,Yoon Young",NAPI-2011-S0406,20110522,,111,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898412.jpg,,,,,,,,,, +构树,Broussonetia papyrifera,,126,19550519,山西,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/508528.jpg,,,,,,,,,, +落地生根,Bryophyllum pinnatum,,474,,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00571804.jpg,,,,,,,,,, +,Bryophyllum pinnatum,何兴金,王长宝,刘爽,易欣,SCU-09-035,20090823,四川,4033,高山坡地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237052.jpg,,,,,,,,,, +落地生根,Bryophyllum pinnatum,叶华谷、邢福武,9313,20031130,澳门,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0181947.jpg,,,,,,,,,, +紫矿,Butea monosperma,树木组,,19741100,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2008514.jpg,,,,,,,,,, +,Butea monosperma,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180601,20181126,Mon State,,,Tree,无花无果,https://image.cvh.ac.cn/files/l/KUN/1498411.jpg,,,,,,,,,, +紫矿,Butea monosperma,Y.H.Li,5206,19640303,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0173349.jpg,,,,,,,,,, +杨梅黄杨,Buxus myrica,张帆、冯思、李雄,17042019,20170420,湖南,750,路旁林缘溪沟旁,灌木,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI065754.jpg,,,,,,,,,, +杨梅黄杨,Buxus myrica,,4919,19590509,浙江省,,谷地西向沟边灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00044114.jpg,,,,,,,,,, +杨梅黄杨,Buxus myrica,候宽昭,70527,19330407,海南省 ,1400,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0345543.jpg,,,,,,,,,, +平卧皱叶黄杨,Buxus rugulosa var. prostrata,青藏队,7681,19760507,西藏自治区,3300,山坡,草地,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0521569.jpg,,,,,,,,,, +平卧皱叶黄杨,Buxus rugulosa var. prostrata,青藏队,4316,19810825,四川省,3100~3200,石灰岩山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802589.jpg,,,,,,,,,, +平卧皱叶黄杨,Buxus rugulosa var. prostrata,秦仁昌,23004,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0521571.jpg,,,,,,,,,, +岩生黄杨,Buxus rugulosa var. rupicola,倪志诚,次多,次旦,2749,19820804,西藏自治区,3100,河谷灌丛中,灌木,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0004192.jpg,,,,,,,,,, +,Buxus rugulosa var. rupicola,崔友文,420,19490821,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069031.jpg,,,,,,,,,, +黄杨属,Buxus rugulosa var. rupicola,倪志诚 次旦 次多等,2749,19820804,西藏,3100,河谷灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0004193.jpg,,,,,,,,,, +黄杨,Buxus sinica,标本室,546,19550416,北京市,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069027.jpg,,,,,,,,,, +黄杨,Buxus sinica,李中提,602942,19590528,广西壮族自治区,,"山脚,石上",,无花有果,https://image.cvh.ac.cn/files/l/PE/00045684.jpg,,,,,,,,,, +黄杨,Buxus sinica,钟补勤,14111,19290925,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02069029.jpg,,,,,,,,,, +木豆,Cajanus cajan,刘凤娟,,19611020,湖南省,,,,有花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI014974.jpg,,,,,,,,,, +,Cajanus cajan,赵玮,BSGLGSly200,20130118,云南,237,上坡地,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1319231.jpg,,,,,,,,,, +木豆,Cajanus cajan,佘孟兰,等,24945,19581202,浙江省,100,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00399173.jpg,,,,,,,,,, +虫豆,Cajanus crassus,T.N.Liou,18504,,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0173500.jpg,,,,,,,,,, +虫豆,Cajanus crassus,刘心祈,26040,19360403,海南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0173498.jpg,,,,,,,,,, +,Cajanus crassus,董洪进,王泽欢等,881,20121225,云南省,610,river bank,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1228445.jpg,,,,,,,,,, +,Cajanus elongatus,,,,,,,,,,,,,,,,,,, +硬毛虫豆,Cajanus goensis,W.Nanakorn,389,19940114,,600,常绿林,藤本,,https://image.cvh.ac.cn/files/l/HITBC/0011137.jpg,,,,,,,,,, +硬毛虫豆,Cajanus goensis,,143,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0173503.jpg,,,,,,,,,, +,Cajanus goensis,郭永杰,聂细转,黄秋月,李昌洪,12CS4983,20120322,云南,1017,公路边,攀援草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1319241.jpg,,,,,,,,,, +,Cajanus scarabaeoides,Shih-Wen Chung,10143,20101102,台湾省,300~400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01924780.jpg,,,,,,,,,, +,Cajanus scarabaeoides,蔡杰,郭永杰,李昌洪等,09CS1119,20091216,四川,700,干热河谷路边山坡,攀援草本,,https://image.cvh.ac.cn/files/l/KUN/1319266.jpg,,,,,,,,,, +,Cajanus scarabaeoides,刘成,谷志佳,李昌洪,13CS7988,20131226,云南,1233,山坡灌丛,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1319256.jpg,,,,,,,,,, +鸡爪草,Calathodes oxycarpa,K.L.Chu,7469,19400725,四川省,,on sharp slope of tall grass,grasstufted,有花有果,https://image.cvh.ac.cn/files/l/PE/01432193.jpg,,,,,,,,,, +鸡爪草,Calathodes oxycarpa,陈永喆 胡清如,86022,19860705,,2900,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0001922.jpg,,,,,,,,,, +鸡爪草,Calathodes oxycarpa,杨亲二,93025,19931112,云南省,2800,"林下,潮湿地,水沟边",,无花有果,https://image.cvh.ac.cn/files/l/PE/00440528.jpg,,,,,,,,,, +黄花鸡爪草,Calathodes palmata,Monreio,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00065803.jpg,,,,,,,,,, +黄花鸡爪草,Calathodes palmata,K.K.Tsoong,387,1930/5/10,浙江省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0003296.jpg,,,,,,,,,, +黄花鸡爪草,Calathodes palmata,张林、李星月、张晓严,7-336,20180617,西藏,3690,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023830.jpg,,,,,,,,,, +灰毛崖豆藤,Callerya cinerea,孙航,周浙昆等,2858,19930116,西藏自治区,1100,林中,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0602066.jpg,,,,,,,,,, +灰毛崖豆藤,Callerya cinerea,Li-Jianwu,3069,20130504,云南省,1200,highway side,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252104.jpg,,,,,,,,,, +灰毛崖豆藤,Callerya cinerea,赖书坤,2977,19630727,江西省,706,山地,山脚,阴处,山坡,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0601960.jpg,,,,,,,,,, +厚叶美花草,Callianthemum alatavicum,Frank Fusiak,,19810918,Tennessee,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/382789.jpg,,,,,,,,,, +厚叶美花草,Callianthemum alatavicum,A.Thompson etc.,498,19821024,Texas,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/381079.jpg,,,,,,,,,, +厚叶美花草,Callianthemum alatavicum,方文培,12068,19380404,四川,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/380346.jpg,,,,,,,,,, +美花草,Callianthemum pimpinelloides,?,84-A-363,1984.7.9,新疆维吾尔自治区 ,4800,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00009604.jpg,,,,,,,,,, +美花草,Callianthemum pimpinelloides,刘全儒,ALT.213,20140728,新疆省,4251,力克达尔山西侧 荒漠,草本,,https://image.cvh.ac.cn/files/l/BNU/0027672.jpg,,,,,,,,,, +美花草,Callianthemum pimpinelloides,姜恕等,9017,19610614,四川省,4500,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458790.jpg,,,,,,,,,, +红千层,Callistemon citrinus,许勇,C060018,20061030,云南省,570,百香园,,,https://image.cvh.ac.cn/files/l/HITBC/0020677.jpg,,,,,,,,,, +美花红千层,Callistemon citrinus,汪韬,256,20200612,福建,166,路边,灌木,有花有果,https://image.cvh.ac.cn/files/l/AU/AU081055.jpg,,,,,,,,,, +美花红千层,Callistemon citrinus,,s.n.,,香港,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0241843.jpg,,,,,,,,,, +,Callistemon rigidus,K.S.Chow etc.,78216,19781129,海南省,100,cult.,,无花有果,https://image.cvh.ac.cn/files/l/PE/00979597.jpg,,,,,,,,,, +红千层,Callistemon rigidus,周伦等,66,Oct-78,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0083588.jpg,,,,,,,,,, +,Callistemon rigidus,周应再,Zhyz-352,20081102,云南,1622,公路边,乔木,,https://image.cvh.ac.cn/files/l/KUN/1251442.jpg,,,,,,,,,, +滇南红厚壳,Calophyllum polyanthum,C.E.Ridsdale,569,19800312,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0233450.jpg,,,,,,,,,, +,Calophyllum polyanthum,"李渤生,程树志",3832,19830328,西藏自治区,750,半常绿雨林下常见小乔木,,无花无果,https://image.cvh.ac.cn/files/l/PE/01215708.jpg,,,,,,,,,, +,Calophyllum polyanthum,C.W.Wang,76468,19360500,云南省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01215705.jpg,,,,,,,,,, +裂叶驴蹄草,Caltha lobulatifolia,"李渤生,倪志诚,程树志",6631,19830818,西藏自治区,3400~4000,山坡雪流谷湿内侧,,有花无果,https://image.cvh.ac.cn/files/l/PE/02068021.jpg,,,,,,,,,, +驴蹄草,Caltha palustris,张树森,,199105,北京,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0001927.jpg,,,,,,,,,, +驴蹄草,Caltha palustris,H.T. Tsai,50947,1932/5/5,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00065757.jpg,,,,,,,,,, +华东驴蹄草,Caltha palustris,"郭新弧,刘晓龙",985642,19850514,安徽省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111918.jpg,,,,,,,,,, +空茎驴蹄草,Caltha palustris var. barthei,蒋兴麟,10871,19550000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01956304.jpg,,,,,,,,,, +空茎驴蹄草,Caltha palustris var. barthei,青藏队,3868,19740731,西藏,3600,山坡沟边草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/260677.jpg,,,,,,,,,, +长柱驴蹄草,Caltha palustris var. barthei,何兴金,高云东,刘海艳,余岩,SCU-20080461,20080816,四川,3856,草甸水沟旁,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231650.jpg,,,,,,,,,, +长柱驴蹄草,Caltha palustris var. himalaica,,75-524,19750705,西藏自治区,,高山灌丛草甸水湿地方,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500451.jpg,,,,,,,,,, +,Caltha palustris var. himalaica,何兴金,高云东,刘海艳,余岩,SCU-20080461,20080816,四川,3856,草甸水沟旁,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1231651.jpg,,,,,,,,,, +长柱驴蹄草,Caltha palustris var. himalaica,青藏队植被组,4381-4379,19750628,,2700~2900,铁杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00049009.jpg,,,,,,,,,, +花葶驴蹄草,Caltha scaposa,张挺,李爱花等,08CS730,20080915,西藏,3423,河边,,花标本,https://image.cvh.ac.cn/files/l/KUN/1231653.jpg,,,,,,,,,, +花莛驴蹄草,Caltha scaposa,刘慎谔,8666,1956-09-,辽宁省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0082857.jpg,,,,,,,,,, +花莛驴蹄草,Caltha scaposa,H.T.Tsai,53972,19330731,云南省 ,4000,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00051200.jpg,,,,,,,,,, +,Campylotropis alopochroa,,,,,,,,,,,,,,,,,,, +,Campylotropis delavayi,苏涛,黄永江,杨青松,胡茜,ZhouZK11322,20111012,四川,2686,高山草坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1319320.jpg,,,,,,,,,, +西南子梢,Campylotropis delavayi,"张挺, 刘成, 亚吉东",18CS17661,20180915,西藏,2231,路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484531.jpg,,,,,,,,,, +西南杭子梢,Campylotropis delavayi,王明川,WNX0785,20140730,贵州,,湿地、路旁,灌木,无花有果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0004262.jpg,,,,,,,,,, +毛杭子梢,Campylotropis hirtella,北京所横断山队,2580,19810804,云南省,3150,林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487433.jpg,,,,,,,,,, +,Campylotropis hirtella,马德跃,官有才,罗开宏,NJWLS935,20111028,云南,1476,次生林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1319325.jpg,,,,,,,,,, +毛杭子梢,Campylotropis hirtella,王明川,WD2014058,20140608,贵州,,路旁,灌木,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0008107.jpg,,,,,,,,,, +,Campylotropis luhitensis,,,,,,,,,,,,,,,,,,, +[艹/杭]子梢,Campylotropis macrocarpa,刘永英,95137,1995.6,山东,100,,,无花无果,https://image.cvh.ac.cn/files/l/HENU/1009658.jpg,,,,,,,,,, +杭子梢,Campylotropis macrocarpa,高信芬、彭玉兰、高云东、余奇,THP-KD-0115,20170426,四川,1429,,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255808.jpg,,,,,,,,,, +杭子梢,Campylotropis macrocarpa,巴山采集队,765,20080716,重庆市,1123,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01850814.jpg,,,,,,,,,, +多花杭子梢,Campylotropis polyantha,江西队,583,19710825,江西省,420,河边杂草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00183423.jpg,,,,,,,,,, +多花杭子梢,Campylotropis polyantha,红水河植物考察队,907,19890505,广西壮族自治区,900,松栎林缘公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01996562.jpg,,,,,,,,,, +小雀花,Campylotropis polyantha,S.W.Teng,153,19350430,贵州省,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0168387.jpg,,,,,,,,,, +绵毛果杭子梢,Campylotropis speciosa subsp. eriocarpa,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201231,20200725,西藏,2262,河边石壁上,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505329.jpg,,,,,,,,,, +,Campylotropis yunnanensis,,NJWLS844,,云南,1042,,灌木,,https://image.cvh.ac.cn/files/l/KUN/1319365.jpg,,,,,,,,,, +,Campylotropis yunnanensis,川经西(59)字,3417,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00183852.jpg,,,,,,,,,, +,Campylotropis yunnanensis,川黔队,1936,19561016,贵州省,1280,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083725.jpg,,,,,,,,,, +方榄,Canarium bengalense,冯国楣,4712,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01136766.jpg,,,,,,,,,, +方榄,Canarium bengalense,谭沛祥,57395,19581211,广西壮族自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0216402.jpg,,,,,,,,,, +方榄,Canarium bengalense,石国良,11413,19750521,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0216404.jpg,,,,,,,,,, +乌榄,Canarium pimela,丁广琦,,19870402,广东,,,乔木,良好,https://image.cvh.ac.cn/files/l/BJM/153321.jpg,,,,,,,,,, +乌榄,Canarium pimela,姚振生,,197605,海南,,,乔木,无花有果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0007876.jpg,,,,,,,,,, +乌榄,Canarium pimela,侯宽昭,70764,19330515,海南省,1700,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01136800.jpg,,,,,,,,,, +滇榄,Canarium strictum,考察队,34745,19831125,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/028401.jpg,,,,,,,,,, +滇榄,Canarium strictum,生态室高原组,s.n.,19800802,西藏自治区,900,山坡 下部,,无花无果,https://image.cvh.ac.cn/files/l/PE/01506028.jpg,,,,,,,,,, +直生刀豆,Canavalia ensiformis,鹿寨县普查队,450223170814008LY,20170814,广西,158,草丛、路旁、黄棕壤,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0205988.jpg,,,,,,,,,, +直生刀豆,Canavalia ensiformis,张超焕,,19390800,河北省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00380145.jpg,,,,,,,,,, +直生刀豆,Canavalia ensiformis,陈少卿,17524,19610321,海南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0163688.jpg,,,,,,,,,, +大麻,Cannabis sativa,,,1955,云南、四川,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00006528.jpg,,,,,,,,,, +大麻,Cannabis sativa,,545,19590700,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00777350.jpg,,,,,,,,,, +大麻,Cannabis sativa,S.Y.Hu,22680,19931015,香港,0,"growing as weed in neglected area;late in the season,only female plant observed.",草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0169067.jpg,,,,,,,,,, +,Caragana aegacanthoides,,,,,,,,,,,,,,,,,,, +,Caragana aliensis,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003014,20171125,西藏,3501,Roadside,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1456523.jpg,,,,,,,,,, +,Caragana chumbica,,,,,,,,,,,,,,,,,,, +楔翼锦鸡儿,Caragana cuneatoalata,方震东,和光,刘琳,郑群瑛,李红,史效武,程洁,张卫东,K-2138,20020927,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 007248.jpg,,,,,,,,,, +,Caragana franchetiana var. gyirongensis,,,,,,,,,,,,,,,,,,, +,Caragana gerardiana,泛喜马拉雅植物志巴基斯坦采集队,FPH-0121,20120619,,1850,湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004923.jpg,,,,,,,,,, +印度锦鸡儿,Caragana gerardiana,生物研究所西藏考察队,4098,74.08.20,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00026632.jpg,,,,,,,,,, +,Caragana gerardiana,陈世龙,高庆波,张发起等,ChenSL1102,20100819,青海,4240,高山草甸,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1319408.jpg,,,,,,,,,, +鬼箭锦鸡儿,Caragana jubata,Joseph F. Rock,25011,Apr-32,云南; YUNNAN,"14,5",,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00047382.jpg,,,,,,,,,, +鬼箭锦鸡儿,Caragana jubata,黄河调查队,3526,19560902,甘肃省,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01607269.jpg,,,,,,,,,, +鬼箭锦鸡儿,Caragana jubata,杜庆等,126,19810700,青海省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01804898.jpg,,,,,,,,,, +浪麻鬼箭,Caragana jubata var. czetyrkininii,程子俊,3327,19570816,甘肃,~3300,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0091319.jpg,,,,,,,,,, +甘蒙锦鸡儿,Caragana opulens,"王计平, 张斌武, 刘俊良",ZHXSNA0396,20170908,内蒙古,1421,荒漠草原,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1459426.jpg,,,,,,,,,, +甘蒙锦鸡儿,Caragana opulens,何业祺,2352,1959/5/23,甘肃,1500,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0388159.jpg,,,,,,,,,, +甘蒙锦鸡儿,Caragana opulens,张振万,676,1957/8/17,陕西,1000,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0089302.jpg,,,,,,,,,, +,Caragana spinifera,许炳强,童毅华,XiaNH-07zx-0560,20101001,西藏,4450,路旁,灌木,,https://image.cvh.ac.cn/files/l/KUN/1319428.jpg,,,,,,,,,, +,Caragana spinifera,许炳强等,XiaNh-07zx-0,20101001,西藏自治区,0~4450,路旁,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0765502.jpg,,,,,,,,,, +西藏锦鸡儿,Caragana spinifera,马毓泉,Sep-87,1987/5/22,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0018004.jpg,,,,,,,,,, +狭叶锦鸡儿,Caragana stenophylla,秦仁昌,205,1956-7 1,新疆自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0057531.jpg,,,,,,,,,, +狭叶锦鸡儿,Caragana stenophylla,杨容,YR20160803-29,20160803,陕西,,路边,,,https://image.cvh.ac.cn/files/l/BNU/0027427.jpg,,,,,,,,,, +狭叶锦鸡儿,Caragana stenophylla,北林,L084120,19840803,河北省,1250,路边石沙地、草坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI015055.jpg,,,,,,,,,, +尼泊尔锦鸡儿,Caragana sukiensis,青藏队,6328,19750713,西藏自治区,2800,山坡,路边,灌丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0604244.jpg,,,,,,,,,, +尼泊尔锦鸡儿,Caragana sukiensis,"张挺, 刘成, 亚吉东",18CS17592,20180912,西藏,3274,灌丛林缘草地,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484236.jpg,,,,,,,,,, +川青锦鸡儿,Caragana tibetica,中国科学院植物研究所黄河调查队,5428,19560714,宁夏回族自治区,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00181624.jpg,,,,,,,,,, +毛刺锦鸡儿,Caragana tibetica,T. N. Liou,L. 2079,1931/5/26,绥远,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0007182.jpg,,,,,,,,,, +毛刺锦鸡儿,Caragana tibetica,青海森林队,192,1963/ /,青海,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0308482.jpg,,,,,,,,,, +变色锦鸡儿,Caragana versicolor,科学院黄河队甘一队,1791,1956/7/24,甘肃省,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0082495.jpg,,,,,,,,,, +变色锦鸡儿,Caragana versicolor,Hopkingson,1032,19300826,青海省,3600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00181654.jpg,,,,,,,,,, +变色锦鸡儿,Caragana versicolor,生物研究所西藏考察队,3769,74.07.31,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00026833.jpg,,,,,,,,,, +竹节树,Carallia brachiata,东兴市普查队,450681170823014LY,20170823,广西,12,阔叶林,路旁,沙土,偶见,乔木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00418015.jpg,,,,,,,,,, +,Carallia brachiata,杨秀森,龙文兴,LWX10079,20130728,海南,150,热带季雨林,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1303632.jpg,,,,,,,,,, +竹节树,Carallia brachiata,黄志,34288,19330926,海南省,,杂林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00994717.jpg,,,,,,,,,, +软毛鹅耳枥,Carpinus mollicoma,青藏队植被组,11673,19760511,西藏自治区,2000,山坡近河边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00045218.jpg,,,,,,,,,, +软毛鹅耳枥,Carpinus mollicoma,邱炳云,59513,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00818219.jpg,,,,,,,,,, +软毛鹅耳枥,Carpinus mollicoma,,54109,,湖北省,,,,无花有果,https://image.cvh.ac.cn/files/l/HIB/0156066.jpg,,,,,,,,,, +云南鹅耳枥,Carpinus monbeigiana,236-6队,2649,19760709,湖北省,1600,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00818160.jpg,,,,,,,,,, +鹅耳枥属,Carpinus monbeigiana,西藏生物所植物资源队,3547,19830814,西藏,2350,农垦团后山杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0000806.jpg,,,,,,,,,, +云南鹅耳枥,Carpinus monbeigiana,冯国楣,50081,19530821,云南省,2200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900460.jpg,,,,,,,,,, +,Carpinus tibetana,,,,,,,,,,,,,,,,,,, +雷公鹅耳枥,Carpinus viminea,华东农林部森林调查浙江队,40111,19500802,浙江,,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00003979.jpg,,,,,,,,,, +雷公鹅耳枥,Carpinus viminea,陈凤,1-A-3/015,20190709,贵州,,山地,,无花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0009630.jpg,,,,,,,,,, +雷公鹅耳枥,Carpinus viminea,刘标,139,20040713,湖南省,450,溪边阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01602126.jpg,,,,,,,,,, +,Casearia glomerata,扎西次仁,ZhongY062,20080728,西藏,3270,常绿阔叶林中,乔木,,https://image.cvh.ac.cn/files/l/KUN/1249795.jpg,,,,,,,,,, +球花脚骨脆,Casearia glomerata,陈照宙,50448,19570506,广西,300,砂岩 山谷 阳处 灌木丛中,乔木,有花无果,https://image.cvh.ac.cn/files/l/GAC/GAC0007224.jpg,,,,,,,,,, +球花脚骨脆,Casearia glomerata,徐闻调查队,218,19540403,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01598953.jpg,,,,,,,,,, +,Casearia kurzii,中苏云南联合考察团,7592,19570000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01280005.jpg,,,,,,,,,, +印度脚骨脆,Casearia kurzii,美登木调查队,13879,19760306,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/008233.jpg,,,,,,,,,, +,Casearia vareca,,,,,,,,,,,,,,,,,,, +,Casearia zeylanica,,,,,,,,,,,,,,,,,,, +腊肠树,Cassia fistula,,5418,19570000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01685232.jpg,,,,,,,,,, +腊肠树,Cassia fistula,张本能,406001,19711226,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00068976.jpg,,,,,,,,,, +腊肠树,Cassia fistula,傅 曾,486,,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00083610.jpg,,,,,,,,,, +神黄豆,Cassia javanica,,1481,,云南省 ,0,,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0125993.jpg,,,,,,,,,, +爪哇决明,Cassia javanica,Rahmat Si Toroes,2172,1932/3/3,Sumatra,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00045131.jpg,,,,,,,,,, +爪哇决明,Cassia javanica,杨宗汉,86435,19861213,云南省,530,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0172055.jpg,,,,,,,,,, +栗,Castanea mollissima,侯小琪,522325190115147LY,20190115,贵州,896,阔叶林、中生、阳性、中温、栽培酸性土植物,乔木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0094140.jpg,,,,,,,,,, +栗,Castanea mollissima,,2191,19491006,江苏省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01658329.jpg,,,,,,,,,, +栗,Castanea mollissima,邬文祥,2298,19580729,上海市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00162116.jpg,,,,,,,,,, +银叶锥,Castanopsis argyrophylla,H.Migo,,19331003,江苏省,0,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00112467.jpg,,,,,,,,,, +银叶椎,Castanopsis argyrophylla,中越考察队,1905,19650207,永福,1100~1000,常绿阔叶林内,,有花无果,https://image.cvh.ac.cn/files/l/KUN/448102.jpg,,,,,,,,,, +银叶椎,Castanopsis argyrophylla,中越考察队,1620,19650118,谅山,0,次生林内,,无花有果,https://image.cvh.ac.cn/files/l/KUN/446826.jpg,,,,,,,,,, +刺椎,Castanopsis armata,J.F.Maxwell,91-162,1991-02-,-,1325,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0030322.jpg,,,,,,,,,, +刺椎,Castanopsis armata,黄志,42210,1956-10-,广东,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00055113.jpg,,,,,,,,,, +刺椎,Castanopsis armata,赖书绅,杨如菊,黄大付,5499,19651104,江西省,600,"山坡疏密林中,多",常绿乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00366122.jpg,,,,,,,,,, +杯丝锥,Castanopsis calathiformis,陈少卿,16113,19580807,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/021476.jpg,,,,,,,,,, +枹丝锥,Castanopsis calathiformis,黄茂先,110242,19580527,广东,,山地,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026979.jpg,,,,,,,,,, +枹丝锥,Castanopsis calathiformis,方文哲等,29,19600811,江苏省,200,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00066462.jpg,,,,,,,,,, +,Castanopsis castanicarpa,,,,,,,,,,,,,,,,,,, +瓦山锥,Castanopsis ceratacantha,陈少卿,15807,19950000,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00199499.jpg,,,,,,,,,, +瓦山锥,Castanopsis ceratacantha,符国瑷,37,1973-11-,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0030729.jpg,,,,,,,,,, +瓦山锥,Castanopsis ceratacantha,周仕顺,2379,20050412,云南,2500,常绿阔叶林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027007.jpg,,,,,,,,,, +棱刺锥,Castanopsis clarkei,李剑武,4291,20141022,云南,1200,针阔混交林,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028870.jpg,,,,,,,,,, +棱刺锥,Castanopsis clarkei,赵清盛,1515,19890824,四川省,1100,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00234834.jpg,,,,,,,,,, +棱刺锥,Castanopsis clarkei,谭仲明,673,20010807,四川省 ,1900,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00234853.jpg,,,,,,,,,, +短刺锥,Castanopsis echidnocarpa,空,25807,空,-,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0031137.jpg,,,,,,,,,, +,Castanopsis echidnocarpa,E.Poilane,27598,19390426,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00163910.jpg,,,,,,,,,, +,Castanopsis echidnocarpa,生态室高原组,11433,19800729,西藏自治区,1750,常绿林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491488.jpg,,,,,,,,,, +,Castanopsis echinocarpa,,s.n.,19730900,广西壮族自治区,900,砾质岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984229.jpg,,,,,,,,,, +短刺锥,Castanopsis echinocarpa,刘恩德,LED9559,20200403,云南,,麦地村委会舒家至山头小组,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1495150.jpg,,,,,,,,,, +短刺锥,Castanopsis echinocarpa,冯国楣,14482,19520203,云南省 ,810~740,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00105050.jpg,,,,,,,,,, +思茅锥,Castanopsis ferox, ,,,,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00080889.jpg,,,,,,,,,, +思茅锥,Castanopsis ferox,李剑武,2263,20120927,云南,1700,公路边,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028020.jpg,,,,,,,,,, +思茅锥,Castanopsis ferox,C.W.Wang,788442,19360900,云南省 ,1900,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00200157.jpg,,,,,,,,,, +红锥,Castanopsis hystrix,湖南队,540,19530809,湖南省,,山坡,疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02072115.jpg,,,,,,,,,, +红锥,Castanopsis hystrix,S.Chen,4327,19310009,浙江省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/CQNM/0001272.jpg,,,,,,,,,, +,Castanopsis hystrix,Exp. Mingxi,5369,20051105,福建,,山谷林中(建群种),乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00611292.jpg,,,,,,,,,, +印度锥,Castanopsis indica,Lau S.K.,378,19320807,海南省,,"Abundant,dry,gentle slope,sandy soil",,无花有果,https://image.cvh.ac.cn/files/l/PE/00272564.jpg,,,,,,,,,, +印度锥,Castanopsis indica,"李渤生,程树志",3891,19830329,西藏自治区,850,Cascaropus林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491435.jpg,,,,,,,,,, +印度锥,Castanopsis indica,"刘恩德, 邹娇, 董洪进, 肖波, 周天, 赵晨光, 陈志坚",LED9406,20191219,云南,507,河边灌丛,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1495088.jpg,,,,,,,,,, +,Castanopsis lanceifolia,,,,,,,,,,,,,,,,,,, +,Castanopsis longispina,"李渤生,程树志",3808,19830324,西藏自治区,710,江边林中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491419.jpg,,,,,,,,,, +,Castanopsis pathakii,,,,,,,,,,,,,,,,,,, +,Castanopsis purpurella,,,,,,,,,,,,,,,,,,, +,Castanopsis rockii,王启无,76557,19360500,云南省,1500,Oak foresat N-open slope,,无花无果,https://image.cvh.ac.cn/files/l/PE/00273132.jpg,,,,,,,,,, +,Castanopsis rockii,J. F. Rock,7229,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00033839.jpg,,,,,,,,,, +龙陵锥,Castanopsis rockii,李建强,陈丽,张景博,2051,20081009,云南,1800,林中 山坡 疏林 少见,大乔木,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0139124.jpg,,,,,,,,,, +蒺藜锥,Castanopsis tribuloides,George Forrest,11953,19130000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00273675.jpg,,,,,,,,,, +蒺藜锥,Castanopsis tribuloides,"刘恩德, 上官法智, 肖波, 葛青松",7872,20190626,云南,198,in thickets along riverside,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1495154.jpg,,,,,,,,,, +蒺藜锥,Castanopsis tribuloides,Henry,12824,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00055611.jpg,,,,,,,,,, +,Castanopsis wattii,税玉民等,10400,19990831,云南省,2000,in forests,,无花有果,https://image.cvh.ac.cn/files/l/PE/01842775.jpg,,,,,,,,,, +,Castanopsis wattii,覃海宁等,18737,20050427,江西省,80,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01842776.jpg,,,,,,,,,, +,Castanopsis wattii,,L578,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01658679.jpg,,,,,,,,,, +红毛七,Caulophyllum robustum,,544,19630604,吉林省,900,阔叶林下较阴蔽 中生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01614500.jpg,,,,,,,,,, +红毛七,Caulophyllum robustum,郭本兆、杨永昌,9619,19710923,青海省,0,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/23737.jpg,,,,,,,,,, +红毛七,Caulophyllum robustum,安徽省野生植物综合利用委员会,61300,19590716,安徽省,,"生于山地,山腰,阔叶林黄棕垠",,无花无果,https://image.cvh.ac.cn/files/l/PE/01035364.jpg,,,,,,,,,, +,Causonis corniculata,,,,,,,,,,,,,,,,,,, +乌蔹莓,Causonis japonica,吕惠珍、黄宝优、莫连兰、黄美荣,451023150524046LY,20150524,广西,,灌丛,林缘,石灰土,藤本,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0179472.jpg,,,,,,,,,, +,Causonis medogensis,,,,,,,,,,,,,,,,,,, +,Causonis trifolia,,,,,,,,,,,,,,,,,,, +膝曲乌蔹莓,Cayratia geniculata,海南工作站,1051,19600704,海南省 ,0~150,,藤本木质攀援緾 绕,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0505395.jpg,,,,,,,,,, +膝曲乌蔹莓,Cayratia geniculata,"刘成, 亚吉东, 何华杰, 李昌洪",16CS14026,20161122,西藏,904,林缘路边,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1446599.jpg,,,,,,,,,, +膝曲乌蔹莓,Cayratia geniculata,侯元同,郭成勇,侯元免,曹灵杰,20180426460-3,20180430,海南,26,河岸边灌丛,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0048702.jpg,,,,,,,,,, +狭叶乌蔹莓,Cayratia mollissima,"Tsang,Wai-Tak",367,19270706,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00686895.jpg,,,,,,,,,, +,Cayratia mollissima,白清快,20180007,20180417,贵州省,469,树上,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0026407.jpg,,,,,,,,,, +鸟足乌蔹莓,Cayratia pedata,M. K. Li,2139,19391129,云南省 ,2000,on road side,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00272702.jpg,,,,,,,,,, +鸟足乌蔹莓,Cayratia pedata,李永亮,LiYL1803,20171012,云南,2300,南亚热带中山湿性常绿阔叶林,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1450775.jpg,,,,,,,,,, +鸟足乌蔹莓,Cayratia pedata,黄俞淞、廖云标等,LZ421,20110704,广西壮族自治区,280,石灰岩山地季雨林(石山),攀援藤本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00205743.jpg,,,,,,,,,, +灰叶南蛇藤,Celastrus glaucophyllus,王名金,3579,19551002,安徽省,700,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0249928.jpg,,,,,,,,,, +灰叶南蛇藤,Celastrus glaucophyllus,胡志新,252a,19770527,陕西省,1350,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0249934.jpg,,,,,,,,,, +灰叶南蛇藤,Celastrus glaucophyllus,浙江药用植物志编写组,1834,19720625,浙江省,,,芚,无花无果,https://image.cvh.ac.cn/files/l/ZM/ZMNH0044583.jpg,,,,,,,,,, +青江藤,Celastrus hindsii,系二同学,1188,19560626,江西,,,,无花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0005533.jpg,,,,,,,,,, +青江藤,Celastrus hindsii,T. P. Wang,10997,1939/6/18,湖北,800,,climbing,有花有果,https://image.cvh.ac.cn/files/l/WUK/0056286.jpg,,,,,,,,,, +青江藤,Celastrus hindsii,中越考察队,2392,19650217,,230~2900,石灰岩次生林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01700354.jpg,,,,,,,,,, +滇边南蛇藤,Celastrus hookeri,沐先运,1189,20120803,天津,,山坡,藤本,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00077781.jpg,,,,,,,,,, +滇边南蛇藤,Celastrus hookeri,梁向日,60661,1931/5/17,广东,,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0110253.jpg,,,,,,,,,, +滇边南蛇藤,Celastrus hookeri,P.E.Chen Z.T.Chen,723,19250422,福建省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/098158056.jpg,,,,,,,,,, +独子藤,Celastrus monospermus,"张寿洲,李良千等",3435,20050717,广东省,100~200,疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02028482.jpg,,,,,,,,,, +独子藤,Celastrus monospermus,华南生物多样性调查队 金效华,5074,20031006,海南省,1000~1800,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01910370.jpg,,,,,,,,,, +独子藤,Celastrus monospermus,曾宪锋,ZXF37355,20180506,福建,755,山谷、疏林,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0032633.jpg,,,,,,,,,, +灯油藤,Celastrus paniculatus,彭水队,500243-001-034-01,20120602,重庆,990,阴坡,藤本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0096235.jpg,,,,,,,,,, +灯油藤,Celastrus paniculatus,广西队,3035,19530731,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01910574.jpg,,,,,,,,,, +灯油藤,Celastrus paniculatus,中苏调查团,2121,19550624,四川省,,山谷疏林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01910597.jpg,,,,,,,,,, +皱叶南蛇藤,Celastrus rugosus,"刘成, 亚吉东",18CS17205,20181118,西藏,1908,次生林下,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486755.jpg,,,,,,,,,, +皱叶南蛇藤,Celastrus rugosus,酉阳队,500242-253,20120702,重庆,814,林下,藤本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0096241.jpg,,,,,,,,,, +皱叶南蛇藤,Celastrus rugosus,秦仁昌,25345,19401029,云南省,0,杂木林上,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0127873.jpg,,,,,,,,,, +显柱南蛇藤,Celastrus stylosus,林来官,707,19340616,福建省,1300,近山顶杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01910067.jpg,,,,,,,,,, +显柱南蛇藤,Celastrus stylosus,刘正宇、张军等,S-2593,20170708,重庆,1257.54,林中,藤本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0096192.jpg,,,,,,,,,, +显柱南蛇藤,Celastrus stylosus,邓懋彬等,5051,19571017,安徽省,200,山坡竹木林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01910034.jpg,,,,,,,,,, +绿独子藤,Celastrus virens,桂平市普查队,450881171102039LY,20171102,广西,323.9,阔叶林,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0202251.jpg,,,,,,,,,, +绿独子藤,Celastrus virens,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14422,20161113,西藏,1605,林下阴湿处,木质藤本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445518.jpg,,,,,,,,,, +绿独子藤,Celastrus virens,,,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01910541.jpg,,,,,,,,,, +,Celtis australis,,108,19120424,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01695715.jpg,,,,,,,,,, +黑弹树(小叶朴),Celtis bungeana,王铁僧,宓容钦,沈家玉,7967,19610821,浙江,,山坡流水沟中,乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00633190.jpg,,,,,,,,,, +黑弹树,Celtis bungeana,,1047,1955,云南四川,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00006025.jpg,,,,,,,,,, +黑弹树(小叶朴),Celtis bungeana,中国科学院植物所,75841,0,江苏,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/602628.jpg,,,,,,,,,, +小果朴,Celtis cerasifera,贺贤育,28036,19570911,浙江省,920,"路边,树丛中",,无花有果,https://image.cvh.ac.cn/files/l/PE/00675520.jpg,,,,,,,,,, +小果朴,Celtis cerasifera,刘林翰,9134,19580626,湖南省,1050,山顶灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/00675523.jpg,,,,,,,,,, +小果朴,Celtis cerasifera,"李渤生,程树志",4905,19830528,西藏,850,半常绿雨林中高大乔木,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810859.jpg,,,,,,,,,, +朴树,Celtis sinensis,,s.n.,,香港,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01614245.jpg,,,,,,,,,, +,Celtis sinensis,岛津制作所标本部,487,19050519,东京,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0021459.jpg,,,,,,,,,, +朴树,Celtis sinensis,王启无,89162,19400505,云南省 ,1000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0333128.jpg,,,,,,,,,, +四蕊朴,Celtis tetrandra,卢东升,62,2002.05.,河南,800,,,无花有果,https://image.cvh.ac.cn/files/l/HENU/1014537.jpg,,,,,,,,,, +四蕊朴,Celtis tetrandra,刘慎谔,22680,19461109,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0333197.jpg,,,,,,,,,, +四蕊朴,Celtis tetrandra,贵州队,6529,19600725,贵州省,1050,,乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00287753.jpg,,,,,,,,,, +假玉桂,Celtis timorensis,梁葵,69454,19570900,广西壮族自治区,,太平村附近村后疏林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00676515.jpg,,,,,,,,,, +假玉桂,Celtis timorensis,,s.n,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00676567.jpg,,,,,,,,,, +假玉桂,Celtis timorensis,李沛峰林正眉等,2017156,20170603,广东,,林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/SN/SN011836.jpg,,,,,,,,,, +西川朴,Celtis vandervoetiana,邱炳云,59515,19660413,云南省 ,2410,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/46093.jpg,,,,,,,,,, +西川朴,Celtis vandervoetiana,R.C.Ching,2106,19240700,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00676590.jpg,,,,,,,,,, +西川朴,Celtis vandervoetiana,李培元,7643,19590720,陕西省,1700,山坡上,,有果无花,https://image.cvh.ac.cn/files/l/KUN/602604.jpg,,,,,,,,,, +金鱼藻属,Ceratophyllum demersum,绵阳队,121,19780604,四川,500,池中,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM704300003.jpg,,,,,,,,,, +金鱼藻,Ceratophyllum demersum,陈少卿,8328,19530620,广东省,,水中,疏荫,,有花无果,https://image.cvh.ac.cn/files/l/PE/00951586.jpg,,,,,,,,,, +金鱼藻,Ceratophyllum demersum,T.N.Liou,7444,,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00951578.jpg,,,,,,,,,, +木瓜海棠,Chaenomeles cathayensis,y.chen,,19312107,江苏,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2004492.jpg,,,,,,,,,, +毛叶木瓜,Chaenomeles cathayensis,,5259,19590512,四川省,1000,土坎边土壤为粘壤土,,无花有果,https://image.cvh.ac.cn/files/l/PE/00561540.jpg,,,,,,,,,, +毛叶木瓜,Chaenomeles cathayensis,浙江植物资源普查队,25806,19590504,浙江省,,沟谷旁岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00561514.jpg,,,,,,,,,, +,Chaenomeles japonica,刘昉勋,1365,19510907,江苏省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00561559.jpg,,,,,,,,,, +日本木瓜,Chaenomeles japonica,,2021520,20020415,云南,1350,土坎栽培,灌木,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0069819.jpg,,,,,,,,,, +,Chaenomeles japonica,T.H.Wang ,84,19390412,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00561558.jpg,,,,,,,,,, +皱皮木瓜,Chaenomeles speciosa,李帮义,6136,20050707,湖南省,,丘陵山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01438417.jpg,,,,,,,,,, +皱皮木瓜,Chaenomeles speciosa,王彩玲 段澄云,,19870500,天津市,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00060027.jpg,,,,,,,,,, +皱皮木瓜,Chaenomeles speciosa,"Tsang, W.T.",27610,1937/6/6,广西; KWANGSI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00074009.jpg,,,,,,,,,, +虫蚁菜,Chamabainia cuspidata,谭策铭,951264,19951119,江西省,350,山坡村旁空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01815957.jpg,,,,,,,,,, +虫蚁菜,Chamabainia cuspidata,陈少卿,16148,19580808,广西壮族自治区,1520~750,山地、路旁、灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00495933.jpg,,,,,,,,,, +虫蚁菜,Chamabainia cuspidata,郁文彬等,HW10365,20100730,四川省,1882,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062500.jpg,,,,,,,,,, +,Chamaecallis perpusilloides,,,,,,,,,,,,,,,,,,, +短叶决明,Chamaecrista leschenaultiana,邓良,6553,19580625,广东省,300,山地路边疏林水旁,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0010096.jpg,,,,,,,,,, +短叶决明,Chamaecrista leschenaultiana,王洪,8726,20090120,云南省,750,,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0010097.jpg,,,,,,,,,, +大叶山扁豆,Chamaecrista leschenaultiana,苏凡,SuF006,20220109,海南,88,果园边,亚灌木状草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1563329.jpg,,,,,,,,,, +,Chamaecrista mimosoides,熊绍荣,NJWLS444,20091005,云南,1898,林缘,路边,荒芜地,匍匐草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1319625.jpg,,,,,,,,,, +山扁豆,Chamaecrista mimosoides,寿海洋、王秋实,SHY01399,20130926,江苏省,27.15,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/0005202.jpg,,,,,,,,,, +假含羞草,Chamaecrista mimosoides,中日考察队,100077,19981010,贵州省,1400~1450,in grassland on rocky slope,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0604459.jpg,,,,,,,,,, +豆茶,Chamaecrista nomame,S.Saito,7714,19280916,台湾省,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0126820.jpg,,,,,,,,,, +,Chamaecrista nomame,"Daeshin Kim,Sukyoung Kim",Halla1059,20140917,,129,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090120.jpg,,,,,,,,,, +豆茶决明,Chamaecrista nomame,"卞福花, 杨蕾蕾, 谷胤征",BianFH-0115,20090906,山东,,海边草地上,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1324310.jpg,,,,,,,,,, +砂生地蔷薇,Chamaerhodos sabulosa,,84-A-093,1.98406e,新疆维吾尔自治区 ,3890,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00015874.jpg,,,,,,,,,, +砂生地蔷薇,Chamaerhodos sabulosa,青藏队,7235,19750808,西藏自治区,4600,山坡沙地草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834289.jpg,,,,,,,,,, +砂生地蔷薇,Chamaerhodos sabulosa,P.Hanelt et C.Davazamc,2102,19620529,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01638940.jpg,,,,,,,,,, +柳兰,Chamerion angustifolium,孔冬梅,k1460,20180726,山西,2439,水沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/SXU/00026544.jpg,,,,,,,,,, +柳兰,Chamerion angustifolium,葛斌杰、魏宇坤,GBJ00628,20110702,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0095299.jpg,,,,,,,,,, +柳兰,Chamerion angustifolium,朱有昌等,39,19500701,辽宁省,,,,无花无果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0020963.jpg,,,,,,,,,, +毛脉柳兰,Chamerion angustifolium subsp. circumvagum,刘慎谔,4801,19520409,热河省,,,,无花有果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0020959.jpg,,,,,,,,,, +毛脉柳兰,Chamerion angustifolium subsp. circumvagum,杨光辉,58730,19580711,四川省,2600,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00282377.jpg,,,,,,,,,, +,Chamerion angustifolium subsp. circumvagum,胡君,熊豫宁,陈庆恒,王东超,HJ05547,20151009,西藏自治区,3650,公路旁,草丛中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00595801.jpg,,,,,,,,,, +网脉柳兰,Chamerion conspersum,余奇、周晓雪、黎怀成,THP-KD-4478,20170715,四川,3379,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242461.jpg,,,,,,,,,, +,Chamerion conspersum,J.I.Jeon et al.,SI1359,20100810,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932324.jpg,,,,,,,,,, +宽叶柳兰,Chamerion latifolium,H.Migo,,19320727,,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00052489.jpg,,,,,,,,,, +宽叶柳兰,Chamerion latifolium,周太炎,等,651102,19650720,新疆维吾尔自治区,2300,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00052486.jpg,,,,,,,,,, +宽叶柳兰,Chamerion latifolium,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13284,20160821,新疆,2994,高山石质山坡上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1458751.jpg,,,,,,,,,, +,Chamerion speciosum,,,,,,,,,,,,,,,,,,, +,Cheniella ovatifolia,,,,,,,,,,,,,,,,,,, +,Cheniella quinnanensis subsp. gandhiana,,,,,,,,,,,,,,,,,,, +,Cheniella tenuiflora,,,,,,,,,,,,,,,,,,, +,Chesneya acaulis,青藏队,76-8089,19760629,西藏自治区,2900,山坡沙砾地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00100614.jpg,,,,,,,,,, +无茎雀儿豆,Chesneya acaulis,方震东、刘琳、李红、和光、史小武、赵卫东、陈洁,K-2359,20021015,云南省,4298,高山苔草草甸,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007312.jpg,,,,,,,,,, +,Chesneya crassipes,G.Nepli,s.n.,19600528,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01924655.jpg,,,,,,,,,, +,Chesneya crassipes,青藏队,76-7849,19760623,西藏自治区,4100,冲沟沙地上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00100618.jpg,,,,,,,,,, +长梗雀儿豆,Chesneya crassipes,方震东、和光、刘琳、郑群英、李红、史效武、陈洁、赵卫东,K-668,20020629,云南省,3610,落叶阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006884.jpg,,,,,,,,,, +截叶雀儿豆,Chesneya cuneata,"张洪军, 许惠军",ZHANG2017HC025,20170519,甘肃,1448,温带荒漠沟谷灌草植被,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454925.jpg,,,,,,,,,, +,Chesneya nubigena,,75-1646,19750908,西藏自治区,4400,高山草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/01499370.jpg,,,,,,,,,, +,Chesneya nubigena,应俊生,3654,19600528,四川省,,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00100743.jpg,,,,,,,,,, +,Chesneya nubigena,M.Suzuki et al.,9240358,19920527,,4280,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01523837.jpg,,,,,,,,,, +,Chesneya nubigena subsp. purpurea,PE西藏队,PE6470,20170912,西藏自治区,4530,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309785.jpg,,,,,,,,,, +南酸枣,Choerospondias axillaris,张代贵,zdg2812,20110802,湖北神农架林区,,山坡、丘陵或沟谷林中,落叶乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU36483.jpg,,,,,,,,,, +南酸枣,Choerospondias axillaris,邓良,4503,1957/5/6,广东,550,,乔木直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0191482.jpg,,,,,,,,,, +南酸枣,Choerospondias axillaris,任宪威等,84110,19840612,河南,470,树木园,乔木,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00021699.jpg,,,,,,,,,, +,Chrysosplenium arunachalense,,,,,,,,,,,,,,,,,,, +肉质金腰,Chrysosplenium carnosum,蔡希陶,53934,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00176381.jpg,,,,,,,,,, +肉质金腰,Chrysosplenium carnosum,不祥,571,19640723,青海省,4800,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/003999.jpg,,,,,,,,,, +肉质金腰,Chrysosplenium carnosum,杨竞生,90-206,1990-07-,西藏省,4500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145001.jpg,,,,,,,,,, +,Chrysosplenium forrestii,,171,,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0007339.jpg,,,,,,,,,, +贡山金腰,Chrysosplenium forrestii,西藏中草药普查队,3897,19720726,西藏自治区,3900,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01121189.jpg,,,,,,,,,, +贡山金腰,Chrysosplenium forrestii,C.W.Wang,64663,19350700,云南省 ,3500,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00065123.jpg,,,,,,,,,, +,Chrysosplenium griffithii,张挺,郭永杰,刘成等,10CS2202,20100803,云南,4479,"Alpine scree. SW-facing slope 45° with Potentilla, Bistorta, Arenaria, mosses.",多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237360.jpg,,,,,,,,,, +肾叶金腰,Chrysosplenium griffithii,关克俭,1768,1957-07-,新疆省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145092.jpg,,,,,,,,,, +肾叶金腰,Chrysosplenium griffithii,PE西藏考察队,7229,20180612,西藏自治区,3398,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332458.jpg,,,,,,,,,, +绵毛金腰,Chrysosplenium lanuginosum,廖文波、赵万义、刘忠成、张信坚、叶矾,LXP-13-24816,20171028,湖南,1330,山谷、腐殖土、阴处、溪边、石上常见种,陆生、草本、平卧,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00202112.jpg,,,,,,,,,, +绵毛金腰,Chrysosplenium lanuginosum,张珍万,1620,1961/10/8,陕西省 ,1255,,多年草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0173909.jpg,,,,,,,,,, +绵毛金腰,Chrysosplenium lanuginosum,刘正宇,16660-02,19960418,贵州,950,阴湿杂木林下,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0064130.jpg,,,,,,,,,, +,Chrysosplenium nepalense,鄂神农架植考队,10378,19760620,湖北省,2200,林下 石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00996595.jpg,,,,,,,,,, +,Chrysosplenium nepalense,李小杰,LiXJ442,20130625,四川,2855,冷杉林缘,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1301012.jpg,,,,,,,,,, +山溪金腰,Chrysosplenium nepalense,T.Tang,968,1929,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145201.jpg,,,,,,,,,, +裸茎金腰,Chrysosplenium nudicaule,郭本兆,9222,19710621,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01121358.jpg,,,,,,,,,, +裸茎金腰,Chrysosplenium nudicaule,,169,19590606,西藏自治区,4000,泉水石隙中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01121372.jpg,,,,,,,,,, +裸茎金腰,Chrysosplenium nudicaule,"张新时,郭柯",天山-341,19860803,新疆维吾尔自治区,3420,石质平台 T-038,,有花无果,https://image.cvh.ac.cn/files/l/PE/02080838.jpg,,,,,,,,,, +单花金腰,Chrysosplenium uniflorum,杨祥学,11225,1953-04-,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145230.jpg,,,,,,,,,, +单花金腰,Chrysosplenium uniflorum,C.W.Wang,65865,19350000,云南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00334033.jpg,,,,,,,,,, +单花金腰,Chrysosplenium uniflorum,青藏队植被组,2590,19740810,西藏自治区,4500,山坡 ,,无花无果,https://image.cvh.ac.cn/files/l/PE/00052000.jpg,,,,,,,,,, +鹰嘴豆,Cicer arietinum,何叶祺,6793,19650616,内蒙古自治区,1140,农田,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0249148.jpg,,,,,,,,,, +,Cicer arietinum,王清江,1530,19580512,福建省,,,草本,无花有果,https://image.cvh.ac.cn/files/l/AU/006200.jpg,,,,,,,,,, +鹰嘴豆,Cicer arietinum,山西植物所调查队,398,19530924,山西省,,旱田中栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/01521675.jpg,,,,,,,,,, +小叶鹰嘴豆,Cicer microphyllum,魏来、郝加琛,15280,20150726,西藏,4164,路边河滩,草本,,https://image.cvh.ac.cn/files/l/BNU/0026023.jpg,,,,,,,,,, +小叶鹰嘴豆,Cicer microphyllum,"刘成, 张挺, 李昌洪, 熊晓强",16CS12222,20160531,新疆,1103,石质山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1452908.jpg,,,,,,,,,, +,Cicer microphyllum,,,19660613,,3950,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00100852.jpg,,,,,,,,,, +,Circaea alpina,孙学刚等,20010411,20010820,甘肃省,2500,山坡青杵林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833668.jpg,,,,,,,,,, +,Circaea alpina,李忠宇,CaoW5513,20140816,辽宁省,405,温带落叶阔叶林坡地,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1321497.jpg,,,,,,,,,, +,Circaea alpina,Wuyi Exp.,s.n.,19800915,福建省,2000,密林下、附生岩石上,小草本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/FJSI027602.jpg,,,,,,,,,, +高原露珠草,Circaea alpina subsp. imaicola,关克俭,75279,19750715,安徽省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01069113.jpg,,,,,,,,,, +高原露珠草,Circaea alpina subsp. imaicola,P.Licent S.J.,9452,19300715,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01069231.jpg,,,,,,,,,, +高原露珠草,Circaea alpina subsp. imaicola,T.N.Liou et P.C.Tsoong,2551,19380720,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01069100.jpg,,,,,,,,,, +高寒露珠草,Circaea alpina subsp. micrantha,杨永昌,1458,19650820,青海省,4300,柏树林下,阴湿处,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0481646.jpg,,,,,,,,,, +高寒露珠草,Circaea alpina subsp. micrantha,王启无,69725,19350000,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0481638.jpg,,,,,,,,,, +,Circaea alpina subsp. micrantha,胡君、王东超、李丽、唐露,SC-a-067-B50,20180805,云南,,高山栎林样方中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609973.jpg,,,,,,,,,, +露珠草,Circaea cordata,徐连升,X140022,20140809,吉林省,1876,阳坡、林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031564.jpg,,,,,,,,,, +露珠草,Circaea cordata,张代贵,90808042,20100713,湖南湘西,,溪边,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU60303.jpg,,,,,,,,,, +露珠草,Circaea cordata,,73747,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01069451.jpg,,,,,,,,,, +匍匐露珠草,Circaea repens,"M.Suzuki,T.Maeda,N.Naruhashi,R.Watanabe et al.",8881859,19880913,,2270~2650,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01069970.jpg,,,,,,,,,, +匍匐露珠草,Circaea repens,"熊济华,周子林",92550,19570811,重庆市,1800,竹林下阴湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01069945.jpg,,,,,,,,,, +匍匐露珠草,Circaea repens,彭玉兰、郑臣臣,THP-KD-3531,20170717,四川,2905~3768,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243766.jpg,,,,,,,,,, +星叶草,Circaeaster agrestis,青藏队,13787,19830908,四川省,3900,山坡Abces林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962069.jpg,,,,,,,,,, +星叶草,Circaeaster agrestis,查宏光,8888,2004.9.2,新疆维吾尔自治区 ,2224,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00036422.jpg,,,,,,,,,, +星叶草,Circaeaster agrestis,"李良千,王忠涛,杜玉芬,卫然",296,20110915,甘肃省,3400,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914071.jpg,,,,,,,,,, +,Cissampelos convolvulacea,,,,,,,,,,,,,,,,,,, +,Cissampelos pareira,蔡国梁,48,19770417,福建省,100,栽培,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0430772.jpg,,,,,,,,,, +锡生藤(变种),Cissampelos pareira,,107,19660323,云南,,,,有花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0002375.jpg,,,,,,,,,, +美非锡生藤,Cissampelos pareira,Henry,9532,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00052777.jpg,,,,,,,,,, +锡生藤,Cissampelos pareira var. hirsuta,H.Ohba et al.,8310165,19830709,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01625724.jpg,,,,,,,,,, +锡生藤,Cissampelos pareira var. hirsuta,红水河植物考察队,789,19890502,广西壮族自治区,250,河谷灌木林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01986345.jpg,,,,,,,,,, +锡生藤,Cissampelos pareira var. hirsuta,西藏中草药普查队,1348,19720819,西藏自治区,2200,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/80890.jpg,,,,,,,,,, +帖生白粉藤,Cissus adnata,M.Eug.Poilane,20860,19320719,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01679330.jpg,,,,,,,,,, +贴生白粉藤,Cissus adnata,"tsang ,wai-tak",28,19270716,海南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/106170173.jpg,,,,,,,,,, +帖生白粉藤,Cissus adnata,K.S.Chow etc.,80156,19800605,云南省,700,on hill slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/00687280.jpg,,,,,,,,,, +苦郎藤,Cissus assamica,李洪钧,7293,,湖北省,540,山腰灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00687297.jpg,,,,,,,,,, +苦郎藤,Cissus assamica,段林东,801,20040915,湖南省,500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01611893.jpg,,,,,,,,,, +苦郎藤,Cissus assamica,陇西山考察队,677,19910528,福建省,1000~800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01548661.jpg,,,,,,,,,, +,Cissus heyneana,,,,,,,,,,,,,,,,,,, +青紫葛,Cissus javana,北京青年队,1220,19860903,广西壮族自治区,500~600,山坡灌丛林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/00687418.jpg,,,,,,,,,, +青紫葛,Cissus javana,Y.Tsiang,12338,19330000,云南省 ,0,,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0456058.jpg,,,,,,,,,, +青紫葛,Cissus javana,Y.Tsiang,12338,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00687461.jpg,,,,,,,,,, +大叶白粉藤,Cissus repanda,绿春队,1228,19740531,云南省,330~500,河谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00687487.jpg,,,,,,,,,, +,Cissus repanda,"McClure, F.A.",20086,1932/5/4,,,,,,https://image.cvh.ac.cn/files/l/P/P00697649.jpg,,,,,,,,,, +大叶白粉藤,Cissus repanda,刘心沂,26885,19360524,海南省,,斜坡向东中等土野生密林中密阴乾燥,,无花无果,https://image.cvh.ac.cn/files/l/PE/00687477.jpg,,,,,,,,,, +,Cissus repens,"杨秀森,龙文兴",LWX10136,20130801,海南省,450,热带低地雨林,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1331180.jpg,,,,,,,,,, +白粉藤,Cissus repens,J.F.Maxwell ,76-674,19761011,,2500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01679357.jpg,,,,,,,,,, +白粉藤,Cissus repens,S. Saito,8219,19291028,台湾省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00019305.jpg,,,,,,,,,, +西瓜,Citrullus lanatus,章绍尧,1475,19580000,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01178290.jpg,,,,,,,,,, +西瓜,Citrullus lanatus,"朱鑫鑫, 王金丹, 徐坤, 吕擎",ZXX18710,20181021,河南,92,亚热带,河边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1455634.jpg,,,,,,,,,, +西瓜,Citrullus lanatus,叶国栋,512,19770516,福建省,20,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0207498.jpg,,,,,,,,,, +喀西白桐树,Claoxylon khasianum,滩散组黎廷芝,1340,19761003,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI012824.jpg,,,,,,,,,, +喀西白桐树,Claoxylon khasianum,M.R.Henderson,21694,19290418,,610,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0310004.jpg,,,,,,,,,, +喀西白桐树,Claoxylon khasianum,M.K.Li,2069,19391102,云南省 ,2000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0294998.jpg,,,,,,,,,, +,Claoxylon longipetiolatum,,,,,,,,,,,,,,,,,,, +二室棒柄花,Cleidion spiciflorum,孙航,周浙昆,俞宏渊,2843,19930116,西藏自治区,1100,in scattered forest,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0183603.jpg,,,,,,,,,, +,Cleidion spiciflorum,"K.S.Chow,etc.",33,19800530,云南省,800,under woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00901630.jpg,,,,,,,,,, +长棒柄花,Cleidion spiciflorum,M. Ramos G. Edano,,28-Jul,Catanduanes,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00034195.jpg,,,,,,,,,, +,Clematis acuminata,"程树志,李渤生",3497,19830119,西藏自治区,1680,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494381.jpg,,,,,,,,,, +渐尖铁线莲,Clematis acuminata,C.S.Fan Y.Y.Li,278,19350715,湖南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/091048680.jpg,,,,,,,,,, +,Clematis acuminata,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003123,20171208,,2255,Roadside,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445881.jpg,,,,,,,,,, +细麦,Clematis acutangula,Henry,9292A.,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00053638.jpg,,,,,,,,,, +,Clematis acutangula,students,2266,19300000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0001084.jpg,,,,,,,,,, +红花锐棱铁线莲,Clematis acutangula,邱炳云/B.Y.Qiou,53219,19561027,云南省,2500,山坡树下,藤本,无花有果,https://image.cvh.ac.cn/files/l/PE/00418586.jpg,,,,,,,,,, +甘川铁线莲,Clematis akebioides,PE西藏队,PE6114,20170907,西藏自治区,4398,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309408.jpg,,,,,,,,,, +甘川铁线莲,Clematis akebioides,陈文允,于文涛,黄永江,CYH079,20100910,四川,3476,草坡,溪流边,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231850.jpg,,,,,,,,,, +甘川铁线莲,Clematis akebioides,赵一之,1187,1983/12/23,内蒙古自治区,2200,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0008774.jpg,,,,,,,,,, +互叶铁线莲,Clematis alternata,PE-西藏队,853,20100814,西藏自治区,2492,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01953478.jpg,,,,,,,,,, +小木通,Clematis armandii,雷开东,ZB140508724,20140508,湖南湘西州,,灌丛,藤本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU25724.jpg,,,,,,,,,, +小木通,Clematis armandii,刘慎谔,15295,19960309,四川,630,Vine on the shrubs by the river,,有花无果,https://image.cvh.ac.cn/files/l/KUN/93887.jpg,,,,,,,,,, +小木通,Clematis armandii,"Tsang, W.T.",23641,1934/4/4,湖南; HUNAN,,,攀援,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00053219.jpg,,,,,,,,,, +吉隆铁线莲,Clematis barbellata var. obtusa,魏来、何毅,BNUXZ2016343,20160730,西藏,3200,山坡林下,,,https://image.cvh.ac.cn/files/l/BNU/0028343.jpg,,,,,,,,,, +短尾铁线莲,Clematis brevicaudata,Y.C.Wang,528,1935/9/23,山东省,450,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0003448.jpg,,,,,,,,,, +短尾铁线莲,Clematis brevicaudata,林有润,136,Aug-73,内蒙古省,1100,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0083631.jpg,,,,,,,,,, +短尾铁线莲,Clematis brevicaudata,植物(二)小组,14002,,吉林,,,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0046499.jpg,,,,,,,,,, +毛木通,Clematis buchananiana,PE西藏队,PE6219,20170910,西藏自治区,2488~2994,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309343.jpg,,,,,,,,,, +毛木通,Clematis buchananiana,"S.K.Wu,L.H.Liu,Y.M.Shui et al.",4465,19961021,云南省,1800,Under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980827.jpg,,,,,,,,,, +毛木通,Clematis buchananiana,,1983,19590717,河北省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00068267.jpg,,,,,,,,,, +短柱铁线莲,Clematis cadmia,A.Petelot,4826,19331000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00402073.jpg,,,,,,,,,, +短柱铁线莲,Clematis cadmia,F.A.McClure,13176,,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00402077.jpg,,,,,,,,,, +短柱铁线莲,Clematis cadmia,张应汉,48,,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00402072.jpg,,,,,,,,,, +合柄铁线莲,Clematis connata,"H.Li,S.X.Yang,R.Li etc.",820,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02108967.jpg,,,,,,,,,, +合柄铁线莲,Clematis connata,罗建,汪书丽,任德智,LiuJQ-09XZ-281,20091002,西藏,3330,灌丛草地,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231956.jpg,,,,,,,,,, +合柄铁线莲,Clematis connata,C.S.Chang et al.,20964,20021020,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01783195.jpg,,,,,,,,,, +川藏铁线莲,Clematis connata var. pseudoconnata,赵清盛,8572,1978-8 1,四川省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0023360.jpg,,,,,,,,,, +川藏铁线莲,Clematis connata var. pseudoconnata,魏来、何毅,BNUXZ2016254,20160719,西藏,3000~2800,山坡,,,https://image.cvh.ac.cn/files/l/BNU/0028345.jpg,,,,,,,,,, +疏毛银叶铁线莲,Clematis delavayi var. calvescens,"杨亲二,袁琼",Yangqe2445,20080906,云南省,2600,干热河谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032580.jpg,,,,,,,,,, +疏毛银叶铁线莲,Clematis delavayi var. calvescens,武素功,3619,0,四川,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/274315.jpg,,,,,,,,,, +疏毛银叶铁线莲,Clematis delavayi var. calvescens,四川植被调查队,3925,1973-9 1,西藏自治区,2700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0023440.jpg,,,,,,,,,, +刺铁线莲,Clematis delavayi var. spinescens,邱斌,20081532,20080818,云南省,2200,金沙江边干燥草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01842878.jpg,,,,,,,,,, +刺铁线莲,Clematis delavayi var. spinescens,,5,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/066352.jpg,,,,,,,,,, +刺铁线莲,Clematis delavayi var. spinescens,J.F.Rock,23242,19320506,西藏,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/274308.jpg,,,,,,,,,, +,Clematis erectisepala,Xie Lei,YJ06,20030831,西藏自治区,2650,林边 灌丛上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934645.jpg,,,,,,,,,, +直萼铁线莲,Clematis erectisepala,陈彬、朱鑫鑫、沈彬、宋以刚,CSH06687,20140729,四川省,3213,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0037549.jpg,,,,,,,,,, +,Clematis gouriana,,15802,19380709,昆明,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0001802.jpg,,,,,,,,,, +小蓑衣藤,Clematis gouriana,胡君,熊豫宁,伍小刚,王东超,HJ05083,20151024,西藏自治区,960,山路旁,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00592903.jpg,,,,,,,,,, +小蓑衣藤,Clematis gouriana,李加生,官有才2010.1.16,NJWLS853,,云南,1062,,,果标本,https://image.cvh.ac.cn/files/l/KUN/1231978.jpg,,,,,,,,,, +狭裂薄叶铁线莲,Clematis gracilifolia var. dissectifolia,D.E.Boufford et al.,38641,20070729,四川省,3350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859666.jpg,,,,,,,,,, +,Clematis gracilifolia var. dissectifolia,聂泽龙,牛洋,周卓,王晓雄,SunH-07ZX-2322,20090926,西藏,4009,流石滩,木质藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1231997.jpg,,,,,,,,,, +狭裂薄叶铁线莲,Clematis gracilifolia var. dissectifolia,PE西藏队,PE6757,20170916,西藏自治区,3013,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309227.jpg,,,,,,,,,, +毛果薄叶铁线莲,Clematis gracilifolia var. lasiocarpa,青藏补点队,750446,19750703,西藏自治区,3500,山坡灌丛中,藤本,无花有果,https://image.cvh.ac.cn/files/l/PE/00934707.jpg,,,,,,,,,, +毛果薄叶铁线莲,Clematis gracilifolia var. lasiocarpa,青藏补点组,750446,19750703,西藏,3500,山坡灌丛中,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0681865.jpg,,,,,,,,,, +大花薄叶铁线莲,Clematis gracilifolia var. macrantha,韩裕丰等,83-31,19830628,云南省,3550,云冷杉混交林,,无花无果,https://image.cvh.ac.cn/files/l/PE/00477864.jpg,,,,,,,,,, +大花薄叶铁线莲,Clematis gracilifolia var. macrantha,李文华等,H82-422,19820623,四川省,4900,"高山峡谷,冷杉林下",,有花无果,https://image.cvh.ac.cn/files/l/PE/00477862.jpg,,,,,,,,,, +大花薄叶铁线莲,Clematis gracilifolia var. macrantha,赵清盛,8450,19780905,四川,3750,火烧迹地边,藤本,无花有果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0000731.jpg,,,,,,,,,, +,Clematis grata,Luetta Chen,70,1936/4/4,福建; FUKIEN,,,藤本,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00053756.jpg,,,,,,,,,, +大叶鸭脚力刚,Clematis grata,albert n.steward and c.y.chiao,29,19310719,贵州省,0~1100,,,有花有果,https://image.cvh.ac.cn/files/l/N/091048488.jpg,,,,,,,,,, +秀丽铁线莲,Clematis grata,T.S.Wang,,19920624,台湾,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/97365.jpg,,,,,,,,,, +金佛铁线莲,Clematis gratopsis,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1437-3044,20190809,甘肃,2242,山坡林地,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1474518.jpg,,,,,,,,,, +金佛铁线莲,Clematis gratopsis,李巨平,Lijuping0119,20081110,湖北,900,落叶阔叶林缘灌丛中,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232002.jpg,,,,,,,,,, +金佛铁线莲,Clematis gratopsis,张志英,10556,1959/9/1,甘肃省 ,600,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0372184.jpg,,,,,,,,,, +藏西铁线莲,Clematis graveolens,魏来、郝加琛,15525,20150801,西藏,4600~4800,路边,草本,,https://image.cvh.ac.cn/files/l/BNU/0025921.jpg,,,,,,,,,, +藏西铁线莲,Clematis graveolens,青藏队,870764,19870731,新疆维吾尔自治区,2000,河边沙土地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1224127.jpg,,,,,,,,,, +黄毛铁线莲,Clematis grewiiflora,"姜恕,赵从福",393,19671104,西藏自治区,1800,灌丛干热河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00426785.jpg,,,,,,,,,, +黄毛铁线莲,Clematis grewiiflora,陈晓澄等,7068,20140816,西藏,4240,矮灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023299.jpg,,,,,,,,,, +黄毛铁线莲,Clematis grewiiflora,曾宪锋,ZXF43613,20181212,福建,590,山地林缘,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0038874.jpg,,,,,,,,,, +滇川铁线莲,Clematis kockiana,陈文允,于文涛,黄永江,李国锋,CYHL112,20090923,云南,2920,山坡林缘,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1232018.jpg,,,,,,,,,, +,Clematis kockiana,温带森林组,364,19620724,吉林省,1400,岳桦林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00447501.jpg,,,,,,,,,, +,Clematis kockiana,"王文广,黄义钧等",2386,20141026,四川省,1300,泥土,,有花无果,https://image.cvh.ac.cn/files/l/PE/01905961.jpg,,,,,,,,,, +毛柱铁线莲,Clematis meyeniana,单人骅,5472,,安徽省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00181271.jpg,,,,,,,,,, +沙叶铁线莲,Clematis meyeniana,,,,海南,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00053522.jpg,,,,,,,,,, +毛柱铁线莲,Clematis meyeniana,J. Linsley Gressit,1744,Jun-36,广东; E. KWANGTUNG,645,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00053544.jpg,,,,,,,,,, +绣球藤,Clematis montana,南林采集队,6919,19580802,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00069526.jpg,,,,,,,,,, +绣球藤,Clematis montana,莽山科考队,ms1615,20200817,湖南,1500~1700,山坡,路边林缘,直立草本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI069826.jpg,,,,,,,,,, +绣球藤,Clematis montana,罗建,汪书丽,LiuJQ-08XZ-217,20080806,西藏,3199,路边林子,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232030.jpg,,,,,,,,,, +,Clematis montana var. brevifoliola,T.Naito et al. ,1260,19860520,西藏自治区,3000~3300,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00446297.jpg,,,,,,,,,, +,Clematis montana var. brevifoliola,,1678,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00446300.jpg,,,,,,,,,, +,Clematis montana var. glabrescens,X.C.Zhang & L.Wang,4721,20070922,西藏自治区,3100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01859829.jpg,,,,,,,,,, +,Clematis montana var. glabrescens,"关克俭,王文采等",2197,19630902,四川省,1800,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01960539.jpg,,,,,,,,,, +,Clematis montana var. glabrescens,"杨亲二,袁琼",Yangqe2045,20080728,云南省,3100,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032579.jpg,,,,,,,,,, +大花绣球藤,Clematis montana var. longipes,宋鼎;刘敏;张桥蓉,LS057,20190330,贵州,1762,路边林缘,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551171.jpg,,,,,,,,,, +长梗绣球藤,Clematis montana var. longipes,云南考察队,YN-ET1699,20090717,云南省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980771.jpg,,,,,,,,,, +长梗绣球藤,Clematis montana var. longipes,"熊济华,周子林",90797,19570513,重庆市,1750,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00409786.jpg,,,,,,,,,, +,Clematis montana var. sterilis,J.F. Rock,3284,1922/5/5,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00053563.jpg,,,,,,,,,, +,Clematis montana var. sterilis,,,,四川; SZECHWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00053564.jpg,,,,,,,,,, +小叶绣球藤,Clematis montana var. sterilis,周仕顺,6022,20090523,四川省,3200,山坡黄栎灌丛林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980768.jpg,,,,,,,,,, +晚花绣球藤,Clematis montana var. wilsonii,钱崇澍,6125,,浙江省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00181608.jpg,,,,,,,,,, +晚花绣球藤,Clematis montana var. wilsonii,杨光辉,57385,1957-09-,四川省,2500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0085803.jpg,,,,,,,,,, +晚花绣球藤,Clematis montana var. wilsonii,青藏补点组,758150,19750909,西藏自治区,3200,林下路边,,有果无花,https://image.cvh.ac.cn/files/l/KUN/284929.jpg,,,,,,,,,, +合苞铁线莲,Clematis napaulensis,付坤俊,17685,19780727,陕西省,2000,灌木丛中,攀援藤本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00386660.jpg,,,,,,,,,, +合苞铁线莲,Clematis napaulensis,杜大华,305,,四川省,,,,,https://image.cvh.ac.cn/files/l/IBK/IBK00325084.jpg,,,,,,,,,, +合苞铁线莲,Clematis napaulensis,"朱鑫鑫, 王君, 林庶",ZXX191684,20191205,云南,1939,亚热带常绿阔叶林,林缘空地上,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486491.jpg,,,,,,,,,, +宁静山铁线莲,Clematis ningjingshanica,肖培根等/P.K.Hsiao et al.,1128,19610607,西藏自治区,,,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934728.jpg,,,,,,,,,, +裂叶铁线莲,Clematis parviloba,章绍尧,5954,19590702,浙江,0,山谷灌林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/285070.jpg,,,,,,,,,, +裂叶铁线莲,Clematis parviloba,"廖国藩,郭志芬",215,19780924,湖南省,200,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00477788.jpg,,,,,,,,,, +菱果裂叶铁线莲,Clematis parviloba,税玉民等,B2004-553,20040920,贵州,1000,石灰岩洞,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811987.jpg,,,,,,,,,, +钝萼铁线莲,Clematis peterae,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",1062,20021110,云南省,2570,林(中)下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100144.jpg,,,,,,,,,, +钝萼铁线莲,Clematis peterae,李克纲、张代贵等,TY20141227_1154,20141227,湖南,244,路旁,藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU69915.jpg,,,,,,,,,, +,Clematis peterae,熊豫宁,吴宝成,马振秀,5377,20120719,江苏,,山坡灌丛,藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00611719.jpg,,,,,,,,,, +,Clematis puberula var. ganpiniana,,3070,,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00419121.jpg,,,,,,,,,, +,Clematis puberula var. ganpiniana,王启无,66381,19350900,西藏自治区,3000,Border of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00419221.jpg,,,,,,,,,, +,Clematis puberula var. ganpiniana,PE-古蔺考察队,1166,20100910,四川省,1000,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01864433.jpg,,,,,,,,,, +长花铁线莲,Clematis rehderiana,Y.Tsiang,13214,19330400,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00182298.jpg,,,,,,,,,, +长花铁线莲,Clematis rehderiana,许丁婷,20030206003,20050523,贵州省,,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/GZTM/0009853.jpg,,,,,,,,,, +长花铁线莲,Clematis rehderiana,J.A.Soulie,572,,西藏省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0086375.jpg,,,,,,,,,, +,Clematis siamensis,Xie Lei,TM 10,20030905,西藏自治区,2700,Valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/00418263.jpg,,,,,,,,,, +,Clematis siamensis,中苏云南联合考察团,s.n.,19581227,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00418267.jpg,,,,,,,,,, +锡金铁线莲,Clematis siamensis,张绍云,胡启和,YNS1262,20121030,云南,1773,公路边,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232239.jpg,,,,,,,,,, +毛萼锡金铁线莲,Clematis siamensis var. clarkei,王启无,72020,1936/02/,云南省,3200,,vine,有花无果,https://image.cvh.ac.cn/files/l/WUK/0045427.jpg,,,,,,,,,, +,Clematis smilacifolia,H.F.Sun,1819,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01816867.jpg,,,,,,,,,, +盾叶铁线莲,Clematis smilacifolia,农东新、蓝祖栽、莫连兰,451031150310006LY,20150310,广西,,灌丛,路旁,黄棕壤,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0115366.jpg,,,,,,,,,, +菝葜叶铁线莲,Clematis smilacifolia,刘全儒,孟世勇,,20090207,广西省,240,路边山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0020976.jpg,,,,,,,,,, +甘青铁线莲,Clematis tangutica,"朱大海,张超,李小杰",4474,20070810,四川省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980869.jpg,,,,,,,,,, +甘青铁线莲,Clematis tangutica,W.C.Cheng,3467,,浙江省,0,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00182468.jpg,,,,,,,,,, +钝萼甘青铁线莲,Clematis tangutica,Wilson,2487,,四川; SZECHWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00053663.jpg,,,,,,,,,, +毛萼甘青铁线莲,Clematis tangutica var. pubescens,张大才,李双智,罗康,梁群,ZhangDC-07ZX-0716,20080726,西藏,3970,河滩,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232364.jpg,,,,,,,,,, +毛萼甘青铁线莲,Clematis tangutica var. pubescens,D.E.Boufford et al.,33774,20050730,四川省,3490,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01459433.jpg,,,,,,,,,, +毛萼甘青铁线莲,Clematis tangutica var. pubescens,D.E.Boufford et al.,31228,20040729,西藏自治区,3625,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814077.jpg,,,,,,,,,, +西藏铁线莲,Clematis tenuifolia,,98,19560700,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/091048574.jpg,,,,,,,,,, +西藏铁线莲,Clematis tenuifolia,青藏队,11168,19821009,云南省,2500,山坡 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01108271.jpg,,,,,,,,,, +西藏铁线莲,Clematis tenuifolia,罗建,汪书丽,任德智,L060,20100903,西藏,3106,林缘,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232368.jpg,,,,,,,,,, +,Clematis tibetana,"李安仁,朱家楠",6292,19580801,新疆维吾尔自治区,2700,山坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00387723.jpg,,,,,,,,,, +狭裂中印铁线莲,Clematis tibetana,四川省植被调查队,1803,19730609,四川省,3800,向阳草坡,路旁,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00387734.jpg,,,,,,,,,, +狭裂中印铁线莲,Clematis tibetana,PE西藏队,PE6805,20170917,西藏自治区,3971,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309247.jpg,,,,,,,,,, +狭裂中印铁线莲,Clematis tibetana var. lineariloba,PE西藏队,PE6795,20170917,西藏自治区,3971,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293927.jpg,,,,,,,,,, +狭裂中印铁线莲,Clematis tibetana var. lineariloba,四川省植被调查队,1803,19730609,四川省,3800,向阳草坡,路旁,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00387734.jpg,,,,,,,,,, +,Clematis tibetana var. vernayi,PE西藏考察队,7670,20180622,西藏自治区,3614,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332676.jpg,,,,,,,,,, +,Clematis tibetana var. vernayi,北京所横断山队,3755,19810825,云南省,3200~3500,云杉林伐灌丛上时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046841.jpg,,,,,,,,,, +,Clematis tibetana var. vernayi,覃海宁等,28,20010807,西藏,3700,路旁溪边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01814072.jpg,,,,,,,,,, +,Clematis tongluensis,PE西藏考察队,7143,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332804.jpg,,,,,,,,,, +,Clematis tongluensis var. mollisepala,PE西藏考察队,7143,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332802.jpg,,,,,,,,,, +深裂铁线莲,Clematis tripartita,中日考察队,T450,19900609,西藏自治区,4100,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934751.jpg,,,,,,,,,, +褔贡铁线莲,Clematis tsaii,甘啟良,GanQL1650,20191104,湖北,182,,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1488721.jpg,,,,,,,,,, +福贡铁线莲,Clematis tsaii,蔡希陶,54328,0,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/285759.jpg,,,,,,,,,, +福贡铁线莲,Clematis tsaii,M. K. Li,958,19391031,云南省 ,1730,on mixed foreats,climbing shrub,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00356835.jpg,,,,,,,,,, +尾叶铁线莲,Clematis urophylla,"黄,志",43837,19571109,广东省,,"水旁,疏林,少见,散生",,有花无果,https://image.cvh.ac.cn/files/l/PE/00387500.jpg,,,,,,,,,, +尾叶铁线莲,Clematis urophylla,"杨红梅,朗校安等",1590,20140422,四川省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021147.jpg,,,,,,,,,, +尾叶铁线莲,Clematis urophylla,魏志平,罗生辉,460,1957/10/15,陕西省,1100,,藤本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0402822.jpg,,,,,,,,,, +云南铁线莲,Clematis yunnanensis,Delavay,2315,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00053631.jpg,,,,,,,,,, +云南铁线莲,Clematis yunnanensis,刀志灵;蔡磊;杨静;张品;杨佳俊;姚刚,KIBDZL033B02,20170924,西藏,3196,路边土坡旁,冲击坡旁,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1561234.jpg,,,,,,,,,, +云南铁线莲,Clematis yunnanensis,Y.Tsiang,11639,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00183206.jpg,,,,,,,,,, +,Clematis zeylanica,,,,,,,,,,,,,,,,,,, +,Clitoria mariana,田学军,杨建等,TianXJ0067,20081002,云南,218,林间,箐沟边,攀援草本,,https://image.cvh.ac.cn/files/l/KUN/1319642.jpg,,,,,,,,,, +三叶蝶豆,Clitoria mariana,毛品一,5755,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0173957.jpg,,,,,,,,,, +三叶蝶豆,Clitoria mariana,Henry No. 12507B,"11147,",,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00040604.jpg,,,,,,,,,, +灰岩粗毛藤,Cnesmone tonkinensis,卫兆芬,122235,19590414,海南省,200,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0310482.jpg,,,,,,,,,, +灰岩粗毛藤,Cnesmone tonkinensis,西路,203,19540430,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0310484.jpg,,,,,,,,,, +,Cnesmone tonkinensis,桂南队,s.n.,19680502,广西壮族自治区,300,石山疏林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00901681.jpg,,,,,,,,,, +樟叶木防己,Cocculus laurifolius,张宏达,7415,,贵州,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00052528.jpg,,,,,,,,,, +樟叶木防己,Cocculus laurifolius,T.H.Tu,770,19560716,重庆市,500,石灰岩,藤本,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0003400.jpg,,,,,,,,,, +樟叶木防己,Cocculus laurifolius,,184,19660417,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0003060.jpg,,,,,,,,,, +木防己,Cocculus orbiculatus,Y.Yabe,321,,东三省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0095493.jpg,,,,,,,,,, +,Cocculus orbiculatus,白水江采集队,3295,20070422,甘肃省,700~810,范坝黑阴沟沟边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865073.jpg,,,,,,,,,, +,Cocculus orbiculatus,祝文志,刘志祥,曹远俊,ShenZH3486,20111112,湖北,1100,温带落叶阔叶林坡地,木质藤本,,https://image.cvh.ac.cn/files/l/KUN/1233875.jpg,,,,,,,,,, +细茎旋花豆,Cochlianthus gracilis,北京所横断山队,2010,19810727,云南省,3100~3400,云南松林下灌木中常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02042323.jpg,,,,,,,,,, +细茎旋花豆,Cochlianthus gracilis,三峡工程植被组,峡0102,19880821,重庆市,550,常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028650.jpg,,,,,,,,,, +细茎旋花豆,Cochlianthus gracilis,K. L. Chu,3690,中华民国25.8.26.,四川,1850,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0004523.jpg,,,,,,,,,, +圆叶舞草,Codariocalyx gyroides,李剑武,4246,20141022,云南,1200,公路边,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028842.jpg,,,,,,,,,, +圆叶舞草,Codariocalyx gyroides,,800072,19801020,海南,220,灌丛路旁,灌木,无花有果,https://image.cvh.ac.cn/files/l/SN/SN013035.jpg,,,,,,,,,, +圆叶舞草,Codariocalyx gyroides,黄雪彦、黄宝优、李金花,451425150913064LY,20150913,广西,860,灌丛,林缘,石灰土,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0183294.jpg,,,,,,,,,, +,Codariocalyx motorius,"李渤生,李辉",14099,19901009,西藏自治区,1400~2400,常绿阔叶林边时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00099205.jpg,,,,,,,,,, +舞草,Codariocalyx motorius,生科,4,20150704,河南,,,,无花有果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0012720.jpg,,,,,,,,,, +,Codariocalyx motorius,税玉民,738,19921023,云南省,460,山坡公路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629446.jpg,,,,,,,,,, +,Colutea nepalensis,泛喜马拉雅植物志巴基斯坦采集队,FPH-0636,20120623,,2400,果园,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004925.jpg,,,,,,,,,, +,Colutea nepalensis,青藏队植被组,12921,19760701,西藏自治区,3100,干旱河谷 河漫滩 坡麓,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538676.jpg,,,,,,,,,, +,Combretum acuminatum,Y.Tsiang,12379,19331017,云南省 ,1150,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00047158.jpg,,,,,,,,,, +,Combretum acuminatum,C.W.Wang,74169,19360500,云南省,1540,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00047163.jpg,,,,,,,,,, +,Combretum acuminatum,A.F.G.Kerr,19270,19300501,,50,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01678142.jpg,,,,,,,,,, +,Combretum alatum,,,,,,,,,,,,,,,,,,, +西南风车子,Combretum griffithii,黄宝优、谢月英、姚积军,451223140723016LY,20140723,广西壮族自治区,754.6,灌丛,阳坡,石灰土,,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0103153.jpg,,,,,,,,,, +西南风车子,Combretum griffithii,"郭永杰, 李涟漪, 聂细转",12CS5291,20121214,云南,,溪边沟谷,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1304402.jpg,,,,,,,,,, +西南风车子,Combretum griffithii,陶国达,17379,19770814,云南省,900,路边干燥,,无花有果,https://image.cvh.ac.cn/files/l/PE/01585025.jpg,,,,,,,,,, +,Combretum indicum,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180555,20181128,Mon State,,,Vine,有花无果,https://image.cvh.ac.cn/files/l/KUN/1498568.jpg,,,,,,,,,, +使君子,Combretum indicum,BNUZ19-01,153,20210422,广东,20m,栽培,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0054778.jpg,,,,,,,,,, +长毛风车子,Combretum pilosum,F.A.McClure,20054,19320423,海南省,,along bank of stream among shrubs,,无花无果,https://image.cvh.ac.cn/files/l/PE/00994401.jpg,,,,,,,,,, +长毛风车子,Combretum pilosum,G.Forrest,12154,19140000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00994403.jpg,,,,,,,,,, +长毛风车子,Combretum pilosum,美登木调查队,13814,19760301,,0,,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0737648.jpg,,,,,,,,,, +,Combretum punctatum var. squamosum,,,,,,,,,,,,,,,,,,, +石风车子,Combretum wallichii,林彦云,9809,20071004,福建省,570,山坡山林,大藤本,无花有果,https://image.cvh.ac.cn/files/l/FJSI/020000.jpg,,,,,,,,,, +石风车子,Combretum wallichii,汪韬,269,20200612,福建,150,路边,藤本,无花有果,https://image.cvh.ac.cn/files/l/AU/AU081016.jpg,,,,,,,,,, +石风车子,Combretum wallichii,刘克旺,32822,19840913,湖南省,290,小溪边,灌木,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI008843.jpg,,,,,,,,,, +牛栓藤,Connarus paniculatus,中苏队,23452,19560000,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0425258.jpg,,,,,,,,,, +牛栓藤,Connarus paniculatus,符国瑗,2140,19801117,海南,200,,,,https://image.cvh.ac.cn/files/l/BJM/171603.jpg,,,,,,,,,, +牛栓藤,Connarus paniculatus,刑福武,李泽贤,6264,19890802,海南省,200,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0425246.jpg,,,,,,,,,, +,Connarus yunnanensis,"李渤生,程树志",3137,19821126,西藏自治区,1100,林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074780.jpg,,,,,,,,,, +云南牛栓藤,Connarus yunnanensis,"张淑红,罗家祥",C340425,20180424,云南,570,"C34,引种号:00,2007,1288",藤本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026214.jpg,,,,,,,,,, +云南牛栓藤,Connarus yunnanensis,李延辉,12236,19740616,云南省,1000~1100,山坡上,疏林向阳处,藤本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0442184.jpg,,,,,,,,,, +,Consolida ajacis,F.H.Sha,317,19320708,山东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811883.jpg,,,,,,,,,, +飞燕草,Consolida ajacis,梁国贤,52,19350612,湖北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00183369.jpg,,,,,,,,,, +,Consolida ajacis,邬垣,550,19510725,江西,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811930.jpg,,,,,,,,,, +,Corethrodendron lignosum var. laeve,,,,,,,,,,,,,,,,,,, +,Corethrodendron multijugum,"张发起, 迟晓峰, 夏铭泽",QXA0426,20180827,青海,3591,温带半荒漠稀疏植被,半灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486838.jpg,,,,,,,,,, +红花山竹子,Corethrodendron multijugum,常朝阳、刘培亮、刘亚斌,2013009,20130717,青海省,3680,荒漠山坡,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0534331.jpg,,,,,,,,,, +红花羊柴,Corethrodendron multijugum,张磊,李可,zlnmu2022292,20220819,宁夏,1178,河滩盐碱地,草本,有花无果,https://image.cvh.ac.cn/files/l/NMU/NMU01322.jpg,,,,,,,,,, +,Corethrodendron scoparium,张磊,QTP-LJQ-1238-3071,20190801,内蒙古,1398,沙漠边缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1474558.jpg,,,,,,,,,, +细枝山竹子,Corethrodendron scoparium,陈覃清,1219,19900830,甘肃,100m,戈壁,草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00024359.jpg,,,,,,,,,, +,Corethrodendron scoparium,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1237-3049,20190803,宁夏,1660,荒漠草原,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1474646.jpg,,,,,,,,,, +马桑,Coriaria nepalensis,旷仁平,LXP03-06408,20150804,江西,,山谷,壤土,疏林、溪边,村边,陆生,乔木,直立,无花有果,https://image.cvh.ac.cn/files/l/HNNU/HNNU00064812.jpg,,,,,,,,,, +马桑,Coriaria nepalensis,S. Y. Hu,Y. C. Kong,Y101,19990607,香港,,slopes,shrub,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00625911.jpg,,,,,,,,,, +马桑,Coriaria nepalensis,杨金祥 梁一民,2882,1964/6/7,山西,980,,灌木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0228500.jpg,,,,,,,,,, +,Coriaria terminalis,陈家辉,韩希,王东超,王广艳,杨大松,李资磊,张春林,陶云芬,YangYP-Q-4283,20110909,西藏,3291,灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1247623.jpg,,,,,,,,,, +草马桑,Coriaria terminalis,M Suzuki etc.,9240282,19920524,,2700,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0485932.jpg,,,,,,,,,, +草马桑,Coriaria terminalis,K.L.Chiu,331,1936/ /,四川,,,,有花有果,https://image.cvh.ac.cn/files/l/WUK/0329352.jpg,,,,,,,,,, +铁线蕨叶黄堇,Corydalis adiantifolia,王作宾,7486,19600000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00168783.jpg,,,,,,,,,, +,Corydalis adiantifolia,泛喜马拉雅植物志巴基斯坦采集队,FPH-0343,20120621,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005165.jpg,,,,,,,,,, +铁线蕨叶黄堇,Corydalis adiantifolia,青藏考察队,1420,19870902,新疆维吾尔自治区,0,路边河滩旁,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0136549.jpg,,,,,,,,,, +灰绿黄堇,Corydalis adunca,"左忠, 刘华",ZuoZh241,20161011,宁夏,1440,温带荒漠草原干旱山坡,石质山沟,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1449795.jpg,,,,,,,,,, +灰绿黄堇,Corydalis adunca,北师大队,LS2015013,20150726,宁夏省,,路边沙石滩,,,https://image.cvh.ac.cn/files/l/BNU/0019193.jpg,,,,,,,,,, +灰绿黄堇,Corydalis adunca,路端正,158,19840500,内蒙古,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00036118.jpg,,,,,,,,,, +,Corydalis anaginova,"Ludlow, Francis & Sherriff, George",9698,25-Jun-43,,,,,,https://image.cvh.ac.cn/files/l/E/E00062160.jpg,,,,,,,,,, +,Corydalis arcuata,,,,,,,,,,,,,,,,,,, +水耳紫堇,Corydalis auriculata,无,10348,,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0136720.jpg,,,,,,,,,, +,Corydalis brachyceras,,,,,,,,,,,,,,,,,,, +显萼紫堇,Corydalis calycosa,FLPH Sichuan Expedition,152832,20150912,四川省,3450,meadows in forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02282633.jpg,,,,,,,,,, +真堇,Corydalis capnoides,林叶部,天昭65,19570624,新疆维吾尔自治区,,溪旁杂草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062994.jpg,,,,,,,,,, +山黄堇,Corydalis capnoides,杨宗宗,3月11日,20030601,新疆省,,,草本,,https://image.cvh.ac.cn/files/l/BNU/0020554.jpg,,,,,,,,,, +真堇,Corydalis capnoides,刘尚武、黄荣福,814,19660820,青海省,4300,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/17470.jpg,,,,,,,,,, +克什米尔紫堇,Corydalis cashmeriana,,3008,19050000,,3300,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0136945.jpg,,,,,,,,,, +,Corydalis cashmeriana subsp. longicalcarata,,,,,,,,,,,,,,,,,,, +,Corydalis casimiriana subsp. brachycarpa,陈又生等,191,20111009,西藏自治区,3520,林缘草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01961536.jpg,,,,,,,,,, +聂拉木黄堇,Corydalis cavei,中草药队,1788,19720905,西藏自治区,3800,路边石缝,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0136988.jpg,,,,,,,,,, +,Corydalis chaerophylla,M.Wakabayashi et al.,29730350,19970826,,3260,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920035.jpg,,,,,,,,,, +,Corydalis changuensis,R.E.Cooper,,19130909,,3900,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0137018.jpg,,,,,,,,,, +斑花紫堇,Corydalis cheilosticta,Ho Ting-nung et al.,H.B.G363,19930726,青海省,3450~3550,General area alpine meadow with close species,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040277.jpg,,,,,,,,,, +斑花紫堇,Corydalis cheilosticta,孙学刚等,20010119,20010523,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839915.jpg,,,,,,,,,, +,Corydalis cheilosticta,Sino-British Qinghai Expedition 1997,459,10-Jul-97,,,,,,https://image.cvh.ac.cn/files/l/E/E00385546.jpg,,,,,,,,,, +甬状黄堇,Corydalis cornuta,O.Polunin,134,19490605,,2100~2400,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0139057.jpg,,,,,,,,,, +甬状黄堇,Corydalis cornuta,青藏队植被组,14912,19750715,西藏自治区,2800,沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0139056.jpg,,,,,,,,,, +角状黄堇,Corydalis cornuta,和旭、白洪兵,533324180519284LY,20180519,云南,1952,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009240.jpg,,,,,,,,,, +皱波黄堇,Corydalis crispa,张相宜、成瑞瑜、郭泳棂,SC-Z-00-23-018,20200915,四川,3514,高山草原灌丛,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02060415.jpg,,,,,,,,,, +皱波黄堇,Corydalis crispa,PE西藏队,PE5252,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331827.jpg,,,,,,,,,, +皱波黄堇,Corydalis crispa,王辰,LZ105,20120717,西藏,4000,,,,https://image.cvh.ac.cn/files/l/BNU/0014224.jpg,,,,,,,,,, +,Corydalis crispa subsp. laeviangula,,,,,,,,,,,,,,,,,,, +曲花紫堇,Corydalis curviflora,王作宾,13201,19420718,宁夏回族自治区,2700,under bushes on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00981764.jpg,,,,,,,,,, +弯花紫堇,Corydalis curviflora,T.S.Hsu etc.,14912,19920401,台湾省,2150,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0139054.jpg,,,,,,,,,, +曲花紫堇,Corydalis curviflora,倪志诚等,170,19800623,西藏自治区,4200,山坡灌丛林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062790.jpg,,,,,,,,,, +具爪曲花紫堇,Corydalis curviflora subsp. rosthornii,张超,20071065,20070630,四川省,3500,高山灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062960.jpg,,,,,,,,,, +具爪曲花紫堇,Corydalis curviflora subsp. rosthornii,青藏队,74-3536,19740616,西藏自治区,3600,山坡 垫状草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00981771.jpg,,,,,,,,,, +具爪曲花紫堇,Corydalis curviflora subsp. rosthornii,J.F.ROCK,9001,19230600,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/104063193.jpg,,,,,,,,,, +南黄堇,Corydalis davidii,应俊生等,538,1991/8/8,陕西,1920,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0478984.jpg,,,,,,,,,, +,Corydalis davidii,神农架队,22455,19760827,湖北省,1800,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062745.jpg,,,,,,,,,, +南黄堇,Corydalis davidii,,135,19780609,四川,1450~1560,野生叶坪竹林中阴湿处,宿根草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705600238.jpg,,,,,,,,,, +娇嫩黄堇,Corydalis delicatula,Ludlow et Sherriff,1705,19360526,西藏自治区,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0139389.jpg,,,,,,,,,, +娇嫩黄堇,Corydalis delicatula,郭本兆 何廷农,9375,19710810,青海省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/27328.jpg,,,,,,,,,, +飞燕紫堇,Corydalis delphinioides,,88,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/065954.jpg,,,,,,,,,, +飞燕黄堇,Corydalis delphinioides,北京所横断山队,2211,19810723,云南省,3700,林缘寺草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02063194.jpg,,,,,,,,,, +飞燕黄堇,Corydalis delphinioides,蔡希陶,57680,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0139478.jpg,,,,,,,,,, +,Corydalis diffusa,PE西藏队,PE6439,20170912,西藏自治区,3449~4414,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332873.jpg,,,,,,,,,, +雅曲距紫堇,Corydalis dolichocentra,,,20040715,四川省,3900~4700,Under Quercus,,,https://image.cvh.ac.cn/files/l/KUN/769803.jpg,,,,,,,,,, +,Corydalis dolichocentra,"D. E. Boufford, J. H. Chen, S. L. Kelley, J. Li, R",30711,2004/7/15,,3900~4700,,,,https://image.cvh.ac.cn/files/l/HUH/A00286205.jpg,,,,,,,,,, +不丹紫堇,Corydalis dorjii,孙航,周浙昆等,5404,19930422,西藏自治区,2000,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0139529.jpg,,,,,,,,,, +,Corydalis drepanantha,,,,,,,,,,,,,,,,,,, +无冠紫堇,Corydalis ecristata,,744015,,江西,,,,有花无果,https://image.cvh.ac.cn/files/l/JXU/JXU0011058.jpg,,,,,,,,,, +无冠紫堇,Corydalis ecristata,,255,19800612,甘肃,~,,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0090790.jpg,,,,,,,,,, +短距克什米尔紫堇,Corydalis ecristata,B.M.Rai,342,19810922,,5500,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0139625.jpg,,,,,,,,,, +,Corydalis elegans,无,1435,19210326,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0139672.jpg,,,,,,,,,, +裂冠紫堇,Corydalis flaccida,Anonymous,2734,19740920,,4000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062826.jpg,,,,,,,,,, +裂冠紫堇,Corydalis flaccida,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1983,20130823,西藏自治区,4230,灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02000473.jpg,,,,,,,,,, +裂冠紫堇,Corydalis flaccida,王辰,,20110628,西藏,,草甸,,,https://image.cvh.ac.cn/files/l/BNU/0010765.jpg,,,,,,,,,, +春丕黄堇,Corydalis franchetiana,方文培,周洪富,张泽荣,22619,19570708,四川省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00168268.jpg,,,,,,,,,, +春丕黄堇,Corydalis franchetiana,Dungboo,1879,,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0139793.jpg,,,,,,,,,, +,Corydalis geraniifolia,,1857,,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0139807.jpg,,,,,,,,,, +苍白紫堇,Corydalis glaucissima,"应俊生,洪德元",651176,19650815,西藏自治区,4150,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009637.jpg,,,,,,,,,, +,Corydalis govaniana,泛喜马拉雅植物志巴基斯坦采集队,FPH-0498,20120622,,2543,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005775.jpg,,,,,,,,,, +库莽黄堇,Corydalis govaniana,西藏中草药普查队,539,19720626,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01901391.jpg,,,,,,,,,, +纤细黄堇,Corydalis gracillima,,18862,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0137013.jpg,,,,,,,,,, +纤细黄堇,Corydalis gracillima,张代贵、王业清、朱晓琴,2655,20170821,湖北宜昌,2143,林下路边草丛,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/JIU/HHE09536.jpg,,,,,,,,,, +,Corydalis gracillima,吴韫珍、杨承元、吴征镒,12132,19380911,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0000001.jpg,,,,,,,,,, +尼泊尔黄堇,Corydalis hendersonii,西藏考察队,3419,19740709,新疆维吾尔自治区 ,5000,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/40719.jpg,,,,,,,,,, +尼泊尔黄堇,Corydalis hendersonii,刘全儒,ALT.211,20140728,新疆省,4251,力克达尔山东侧 荒漠,草本,,https://image.cvh.ac.cn/files/l/BNU/0027662.jpg,,,,,,,,,, +尼泊尔黄堇,Corydalis hendersonii,山诺会,,19980812,青海,4400,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00036162.jpg,,,,,,,,,, +,Corydalis hendersonii var. alto-cristata,陶德定,10490,19760608,西藏自治区,4500,高山灌丛,河滩沙砾地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0673775.jpg,,,,,,,,,, +拟锥花黄堇,Corydalis hookeri,那木哉,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062767.jpg,,,,,,,,,, +,Corydalis hookeri,陈家辉,韩希,王广艳,李资磊,YangYP-Q-4185,20110904,西藏,4453,沙砾地,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1234318.jpg,,,,,,,,,, +拟锥花黄堇,Corydalis hookeri,杨竞生,90-594,1990-09-,西藏省,5000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0132850.jpg,,,,,,,,,, +,Corydalis impatiens,傅德志等,264,19860701,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062706.jpg,,,,,,,,,, +,Corydalis impatiens,陈世龙,高庆波,张发起,付鹏程,邢睿,ChenSL1744,20110825,青海,2690,混生林下,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1234320.jpg,,,,,,,,,, +赛北紫堇,Corydalis impatiens,,103,19790922,四川,,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705600156.jpg,,,,,,,,,, +药山紫堇,Corydalis iochanensis,"韩裕丰,邓坤梅",81-1088,19810710,云南省,3600,垭口云冷杉采伐基地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02308737.jpg,,,,,,,,,, +药山紫堇,Corydalis iochanensis,彭玉兰、余奇、李林霖,THP-KD-1564,20170620,四川,3768~4150,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243995.jpg,,,,,,,,,, +药山紫堇,Corydalis iochanensis,川经凉(59)字,795,19590619,四川省,2700,疏林,潮阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01008987.jpg,,,,,,,,,, +藏南紫堇,Corydalis jigmei,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0310,20130804,西藏自治区,5000,流石滩,,无花无果,https://image.cvh.ac.cn/files/l/PE/02000444.jpg,,,,,,,,,, +裸茎黄堇,Corydalis juncea,吴征镒等,75-627,19750705,西藏自治区,3850,高山灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009004.jpg,,,,,,,,,, +,Corydalis juncea,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-0577,20080722,西藏,4448,,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300608.jpg,,,,,,,,,, +,Corydalis kuruchuensis,生物九四1,,19960725,山东,,,,有花有果,https://image.cvh.ac.cn/files/l/BNU/0048910.jpg,,,,,,,,,, +高冠黄堇,Corydalis laelia,W.W.Smith.,4275,,西藏自治区,3900,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674050.jpg,,,,,,,,,, +高冠黄堇,Corydalis laelia,,1882,0,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674293.jpg,,,,,,,,,, +,Corydalis latiflora,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-2156,20130825,西藏自治区,4870,砾石草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000442.jpg,,,,,,,,,, +宽花紫堇,Corydalis latiflora,J.D.A.Stainton,5523,19660714,,4800,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674082.jpg,,,,,,,,,, +,Corydalis latiloba var. tibetica,青藏队植被组,9912,19760828,西藏自治区,3200,生于岩壁石缝中,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0674088.jpg,,,,,,,,,, +松潘黄堇,Corydalis laucheana,D.E.Boufford et al.,39868,20070816,四川省,3665,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026586.jpg,,,,,,,,,, +松潘紫堇,Corydalis laucheana,BNU,LPS-241,20120803,宁夏,2200,林缘,草,,https://image.cvh.ac.cn/files/l/BNU/0010764.jpg,,,,,,,,,, +松潘黄堇,Corydalis laucheana,刘慎谔,19396,1940-10-,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0132906.jpg,,,,,,,,,, +细果紫堇,Corydalis leptocarpa,A.F.G.,6582,0,,1400,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674148.jpg,,,,,,,,,, +,Corydalis leptocarpa,刘成,王苏化,朱迪恩,陈春明,12CS4427,20120421,云南,2778,常绿阔叶林林缘,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300611.jpg,,,,,,,,,, +细果紫堇,Corydalis leptocarpa,李梦娟,125,20170515,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0007127.jpg,,,,,,,,,, +,Corydalis linarioides,白龙江考察队,545,19980721,甘肃省,2800,山地 山坡 疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556110.jpg,,,,,,,,,, +,Corydalis linarioides,吴玉虎,LJQ-QLS-2008-0113,20080726,青海,3250,阴坡灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1234338.jpg,,,,,,,,,, +,Corydalis linarioides,杨金祥,592,19590619,陕西省,3330,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062990.jpg,,,,,,,,,, +线叶黄堇,Corydalis linearis,王晋峰,6300,19740615,四川省,4500,溪边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009612.jpg,,,,,,,,,, +线叶黄堇,Corydalis linearis,Ludlow et Sherriff,15369,19470710,西藏自治区,3750,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674511.jpg,,,,,,,,,, +,Corydalis longipes,西藏中草药普查队,3817,19720716,西藏自治区,3600,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00051626.jpg,,,,,,,,,, +毛黄堇,Corydalis longipes,M.Mikage etc.,9682681,19960916,,3500,on margin of thicket,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261008.jpg,,,,,,,,,, +长梗黄堇,Corydalis longipes,王为义等,461,19850620,青海省,4100,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/109863.jpg,,,,,,,,,, +,Corydalis lowndesii,,,,,,,,,,,,,,,,,,, +,Corydalis mayae,"Forrest, George",19986,21-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00062175.jpg,,,,,,,,,, +狭叶马牙黄堇,Corydalis mayae,T.T.Yu,22452,19380820,云南省,4000,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009156.jpg,,,,,,,,,, +狭叶马牙黄堇,Corydalis mayae,宋滋圃,38583,19540000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00167947.jpg,,,,,,,,,, +细叶黄堇,Corydalis meifolia,,1819,19720905,西藏自治区,4600,砾石堆,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901405.jpg,,,,,,,,,, +细叶黄堇,Corydalis meifolia,H.Ohba et al.,9130296,19910807,,4250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268219.jpg,,,,,,,,,, +,Corydalis meyori,,,,,,,,,,,,,,,,,,, +,Corydalis milarepa,,,,,,,,,,,,,,,,,,, +革吉黄堇,Corydalis moorcroftiana,青藏队,76-7766,19760615,西藏自治区,4200,波林河河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062697.jpg,,,,,,,,,, +革吉黄堇,Corydalis moorcroftiana,郭本兆 王为义,12486,19750906,青海省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/179559.jpg,,,,,,,,,, +革吉黄堇,Corydalis moorcroftiana,生物研究所西藏考查队,3578,1974.7.2,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00011309.jpg,,,,,,,,,, +,Corydalis nana,,,,,,,,,,,,,,,,,,, +凌云紫堇,Corydalis nubicola,,,20040725,西藏自治区,5100~5300,Scree slope,,,https://image.cvh.ac.cn/files/l/KUN/769701.jpg,,,,,,,,,, +,Corydalis nubicola,"D. E. Boufford, J. H. Chen, S. L. Kelley, J. Li, R",31129,2004/7/25,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00286213.jpg,,,,,,,,,, +蛇果黄堇,Corydalis ophiocarpa,巴山采集队,2140,20080724,重庆市,1900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868224.jpg,,,,,,,,,, +蛇果黄堇,Corydalis ophiocarpa,张庆费、钟鑫、葛斌杰等,ZX00988,20180320,浙江,647.52,亚热带常绿与落叶混交林,次生林,林缘,沟谷,草本 Herb,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0151625.jpg,,,,,,,,,, +蛇果黄堇,Corydalis ophiocarpa,余奇、黎怀诚,THP-KD-0656,20170606,四川,2220~2702,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243994.jpg,,,,,,,,,, +,Corydalis oreocoma,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",15369,10-Jul-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00062259.jpg,,,,,,,,,, +,Corydalis oxypetala subsp. balfouriana,,,,,,,,,,,,,,,,,,, +冕宁紫堇,Corydalis papillosa,倪志诚,次多,次旦,2860,19820809,西藏自治区,3100,山谷灌丛林下,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0002314.jpg,,,,,,,,,, +,Corydalis petrodoxa,F.Ludlow etc.,15538,19470801,西藏自治区,4350,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674670.jpg,,,,,,,,,, +,Corydalis petrodoxa,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",15538,1-Aug-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00062266.jpg,,,,,,,,,, +,Corydalis polygalina,郎楷永等,2212,19830706,四川,3900~4000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821027.jpg,,,,,,,,,, +远志黄堇,Corydalis polygalina,J.D.H.,,0,,4200~4800,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674759.jpg,,,,,,,,,, +,Corydalis polygalina,郎楷永等,2212,19830706,四川省,3900~4000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821027.jpg,,,,,,,,,, +波密紫堇,Corydalis pseudoadoxa,西藏生物所植物资源队,3705,19830823,西藏自治区,4100,高山灌丛草甸中,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0002312.jpg,,,,,,,,,, +波密紫堇,Corydalis pseudoadoxa,方震东,239,19870729,云南省,4250,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003661.jpg,,,,,,,,,, +,Corydalis pseudobalfouriana,"Kingdon-Ward, F.",5243,22-Jun-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00062168.jpg,,,,,,,,,, +弯梗紫堇,Corydalis pseudobalfouriana,汪迎春,178,19920708,甘肃省,3300,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674867.jpg,,,,,,,,,, +弯梗紫堇,Corydalis pseudobalfouriana,杨竞生,360,19910618,四川省,450,石岩边,流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674865.jpg,,,,,,,,,, +美花黄堇,Corydalis pseudocristata,"冯正波,朱大海,李小杰",4182,20070727,四川省,3000,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062898.jpg,,,,,,,,,, +美花紫堇,Corydalis pseudocristata,E.H.Whson,3175,0,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674279.jpg,,,,,,,,,, +美花黄堇,Corydalis pseudocristata,郭先林、卫静丽,2041156,20200720,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02041156.jpg,,,,,,,,,, +假丝叶紫堇,Corydalis pseudofilisecta,杨竞生,355,19900727,西藏自治区,4900,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674889.jpg,,,,,,,,,, +假丝叶紫堇,Corydalis pseudofilisecta,朱鑫鑫;王君;王美华;林庶;许敏;多吉;尼玛顿珠,ZXX20513,20200618,西藏,3917,荒坡水沟边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1555111.jpg,,,,,,,,,, +,Corydalis pseudofilisecta,"Ludlow, Francis & Sherriff, George",8681,10-Jun-42,,,,,,https://image.cvh.ac.cn/files/l/E/E00015464.jpg,,,,,,,,,, +拟裸茎黄堇,Corydalis pseudojuncea,"张永田,郞楷永",3259,19660511,西藏自治区,2600,林下草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009673.jpg,,,,,,,,,, +,Corydalis pseudojuncea,徐波,陈光富,陈林杨,董金龙等,SunH-07ZX-1429,20080730,西藏,4418,高山灌丛,流石滩,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300626.jpg,,,,,,,,,, +短腺黄堇,Corydalis pseudolongipes,青藏队,74-2321,19740912,西藏自治区,3300,林缘灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01009675.jpg,,,,,,,,,, +,Corydalis pseudolongipes,W.W.Smith.,4303,19200812,,3900,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674929.jpg,,,,,,,,,, +,Corydalis pseudosibirica,"D.E.Boufford,K.Fujikawa,S.L.Kelley etc.",38551,20070729,四川省,3085~3200,"open stony areas at base of ledges and along single track road and adjacent forests near river,weedy area around rocks in open area above river",,有花无果,https://image.cvh.ac.cn/files/l/PE/02036543.jpg,,,,,,,,,, +,Corydalis pseudosibirica,D.E.Boufford et al.,40965,20090724,西藏自治区,3735,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026527.jpg,,,,,,,,,, +,Corydalis pterygopetala,张廷,蔡杰,袁明等,09CS1528,20090922,西藏,3137,河谷山坡林中,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1234371.jpg,,,,,,,,,, +翅瓣黄堇,Corydalis pterygopetala,南川药物场,,195705,四川,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM705600062.jpg,,,,,,,,,, +翅瓣黄堇,Corydalis pterygopetala,,9252,19160603,云南省 ,3120~3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0674272.jpg,,,,,,,,,, +毛茎紫堇,Corydalis pubicaulis,T. Naito et al.,819,19860512,西藏自治区,2000,On wet ground at margin of evergreen forest.,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062007.jpg,,,,,,,,,, +,Corydalis pubicaulis,郭本兆 王为义,8438,19710708,青海省,4000,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/27101.jpg,,,,,,,,,, +毛茎紫堇,Corydalis pubicaulis,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,1551,20130515,西藏,,林缘,草本,有花有果,https://image.cvh.ac.cn/files/l/BJM/0230682.jpg,,,,,,,,,, +,Corydalis regia,,,,,,,,,,,,,,,,,,, +,Corydalis rostellata,"D.E.Boufford,B.Bartholomew,S.L.Kelley,R.H.Ree etc.",36487,20060815,四川省,3970~4010,shrub thickets grassy openings and thin Picea forests granite bedrock,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036474.jpg,,,,,,,,,, +,Corydalis rostellata,D.E.Boufford et al.,41368,20090729,西藏自治区,3700~3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026523.jpg,,,,,,,,,, +,Corydalis rostellata,杨竞生,88-287,19880828,云南省,3800,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040968.jpg,,,,,,,,,, +,Corydalis rubrisepala subsp. zhuangiana,,,,,,,,,,,,,,,,,,, +,Corydalis stenophylla,,,,,,,,,,,,,,,,,,, +,Corydalis stracheyi,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-1059,20080724,西藏,3696,亚高山灌丛,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300641.jpg,,,,,,,,,, +折曲黄堇,Corydalis stracheyi,陈又生等,483,20111113,西藏自治区,,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01961537.jpg,,,,,,,,,, +折曲黄堇,Corydalis stracheyi,冯国楣,6169,19400801,云南省,3600~3900,草坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675278.jpg,,,,,,,,,, +,Corydalis stracheyi var. ecristata,,,,,,,,,,,,,,,,,,, +直茎黄堇,Corydalis stricta,青藏队植被组,12828,19760616,西藏自治区,4250,石灰岩碎?屑,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060253.jpg,,,,,,,,,, +直茎黄堇,Corydalis stricta,任勃,6,20030809,青海省,3700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957554.jpg,,,,,,,,,, +直茎黄堇,Corydalis stricta,黄治平,1349,1930-07-,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0133187.jpg,,,,,,,,,, +,Corydalis tangutica subsp. bullata,T.T.Yu,11214,19370511,云南省,,under woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901284.jpg,,,,,,,,,, +长轴唐古特延胡索,Corydalis tangutica subsp. bullata,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,415,20120801,西藏,,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230679.jpg,,,,,,,,,, +长轴唐古特延胡索,Corydalis tangutica subsp. bullata,张挺,刘成,马梁梁,付小刚,20CS19560,20200709,四川,4371,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1504966.jpg,,,,,,,,,, +,Corydalis tenuipes,青藏队补点组,750728,19750725,西藏自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040403.jpg,,,,,,,,,, +,Corydalis thyrsiflora,西藏中草药普查队,4493,19720822,西藏自治区,4500,高山草甸(灌丛下),,有花无果,https://image.cvh.ac.cn/files/l/PE/00051612.jpg,,,,,,,,,, +锥花黄堇,Corydalis thyrsiflora,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,2月16日,20180812,西藏,4750.9,湖岸湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0193378.jpg,,,,,,,,,, +,Corydalis thyrsiflora,何兴金,王长宝,刘爽,易欣,SCU-09-046,20090824,四川,3815,高山坡地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1234402.jpg,,,,,,,,,, +西藏黄堇,Corydalis tibetica,青藏队,76-130,19760718,西藏自治区,4600,平台冲积地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040405.jpg,,,,,,,,,, +西藏黄堇,Corydalis tibetica,郭本兆,395,19780809,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/73964.jpg,,,,,,,,,, +西藏紫堇,Corydalis tibetica,,4754,19180827,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00010240.jpg,,,,,,,,,, +,Corydalis tibetoalpina,,,,,,,,,,,,,,,,,,, +三裂紫堇,Corydalis trifoliata,蔡希陶,58040,19340818,云南省,4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675628.jpg,,,,,,,,,, +三裂紫堇,Corydalis trifoliata,青藏队,751083,19750802,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/005075.jpg,,,,,,,,,, +三裂紫堇,Corydalis trifoliata,青藏队,3738,19810803,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/005076.jpg,,,,,,,,,, +,Corydalis tsangensis,,,,,,,,,,,,,,,,,,, +,Corydalis uranoscopa,,,,,,,,,,,,,,,,,,, +,Corydalis verna,,7162,19740624,四川省,4700,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040926.jpg,,,,,,,,,, +,Corydalis verna,王金亭,3230,19610522,西藏自治区,4250,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01040922.jpg,,,,,,,,,, +云南黄堇,Corydalis yunnanensis,R.P.Soulie,1560,,西藏自治区,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675787.jpg,,,,,,,,,, +滇黄堇,Corydalis yunnanensis,杨亚滨,7206?,1978-7 3,四川省,3250,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0032788.jpg,,,,,,,,,, +滇黄堇,Corydalis yunnanensis,M.I'Abbe Delavay,1864,1889.6.10.,云南,3000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0000708.jpg,,,,,,,,,, +,Corylopsis himalayana,,,,,,,,,,,,,,,,,,, +,Corylus ferox,Ch. Wang(王战),651,,陕西,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00600751.jpg,,,,,,,,,, +刺榛,Corylus ferox,河南生物所植物考察队,D0049,19820824,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00272393.jpg,,,,,,,,,, +刺榛,Corylus ferox,武陵山考察队,378,19880623,贵州省,2080,杜鹃铁杉林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01340799.jpg,,,,,,,,,, +藏刺榛,Corylus ferox var. thibetica,赵儒林,5242,19560807,浙江省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/061030499.jpg,,,,,,,,,, +藏刺榛,Corylus ferox var. thibetica,C.F.Li,11089,19290000,河北省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/061030494.jpg,,,,,,,,,, +,Corylus ferox var. thibetica,Ch. Wang(王战),651,,陕西,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00600751.jpg,,,,,,,,,, +粉背黄栌,Cotinus coggygria var. glaucophylla,黄河队,580,19570528,山西省,1800,沟底半阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244844.jpg,,,,,,,,,, +粉背黄栌,Cotinus coggygria var. glaucophylla,"王庆瑞,廉永善",10065,19820722,甘肃省,1500,混交林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244838.jpg,,,,,,,,,, +粉背黄栌,Cotinus coggygria var. glaucophylla,张林香,2.01E+12,20140521,贵州,567,,,无花有果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0007331.jpg,,,,,,,,,, +尖叶栒子,Cotoneaster acuminatus,刑吉庆,3374,19590524,陕西省,1520,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00346689.jpg,,,,,,,,,, +尖叶栒子,Cotoneaster acuminatus,华阴06,LCPC6105821841,20200922,陕西,1455.82,,乔木,无花有果,https://image.cvh.ac.cn/files/l/BJFC/00123754.jpg,,,,,,,,,, +尖叶栒子,Cotoneaster acuminatus,Delavay Wilson No. 3577a,4337,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00073742.jpg,,,,,,,,,, +密毛灰栒子,Cotoneaster acutifolius,刘淼等,A100123,20050518,安徽省,1400,路边,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0007534.jpg,,,,,,,,,, +灰栒子,Cotoneaster acutifolius,黄土高原采集队,2910,19840616,河南省,1300,山谷灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01641067.jpg,,,,,,,,,, +灰◇2子,Cotoneaster acutifolius,孙航,张建文,邓涛,朱鑫鑫,Sunhang11964,20120604,台湾省,2950,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1260222.jpg,,,,,,,,,, +密毛灰栒子,Cotoneaster acutifolius var. villosulus,甘啟良,GanQL1599,20191020,湖北,1277,无,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487430.jpg,,,,,,,,,, +密毛灰◇2子,Cotoneaster acutifolius var. villosulus,张志英,7639,1959/7/29,甘肃,2600,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0150597.jpg,,,,,,,,,, +密毛灰栒子,Cotoneaster acutifolius var. villosulus,W.P.Fang,10304,19320513,重庆市,,In thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00394552.jpg,,,,,,,,,, +匍匐栒子,Cotoneaster adpressus,黄河调查队,1027,19560000,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01572270.jpg,,,,,,,,,, +匍匐栒子,Cotoneaster adpressus,张代贵,20081107,20150629,湖南湘西,,灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU60234.jpg,,,,,,,,,, +匍匐栒子,Cotoneaster adpressus,王明川,YD260728-341,20140728,贵州,,路旁,灌木,无花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0009445.jpg,,,,,,,,,, +藏边栒子,Cotoneaster affinis,李馨,方文培,46846,19561013,四川省,2650,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SHM/SHM0020268.jpg,,,,,,,,,, +藏边栒子,Cotoneaster affinis,,905,19730821,,4200,高山灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01640794.jpg,,,,,,,,,, +藏边栒子,Cotoneaster affinis,胡志浩,63191,19630828,云南省,2500,东缓坡 路边 疏林灌丛干燥,灌木,无花有果,https://image.cvh.ac.cn/files/l/SHM/SHM0020267.jpg,,,,,,,,,, +,Cotoneaster ataensis,,,,,,,,,,,,,,,,,,, +泡叶栒子,Cotoneaster bullatus,高锡朋,54700,19341031,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00191587.jpg,,,,,,,,,, +泡叶栒子,Cotoneaster bullatus,红广渝,4069,20100731,四川省,2298,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059163.jpg,,,,,,,,,, +泡叶栒子,Cotoneaster bullatus,赵常明等,EX1613,20080808,湖北省,1650,林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01856996.jpg,,,,,,,,,, +黄杨叶栒子,Cotoneaster buxifolius,付国勋,张志松,1785,19571004,湖北省,0,山坡灌木丛中,灌木直立,有果无花,https://image.cvh.ac.cn/files/l/KUN/0111654.jpg,,,,,,,,,, +黄杨叶栒子,Cotoneaster buxifolius,,2370,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00395137.jpg,,,,,,,,,, +黄杨叶栒子,Cotoneaster buxifolius,王文采,2240,19510530,河北省,1260,北面土坟,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0111650.jpg,,,,,,,,,, +黄杨叶栒子,Cotoneaster buxifolius var. marginatus,陈世贵,522623150515386 LY,20150515,贵州省,784.5,阳性、沙土、灌丛、中生、中温、野生植物,灌木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0066326.jpg,,,,,,,,,, +,Cotoneaster buxifolius var. rockii,,,,,,,,,,,,,,,,,,, +,Cotoneaster capsicinus,,,,,,,,,,,,,,,,,,, +矮生栒子,Cotoneaster dammeri,吉首大学生物资源与环境科学学院,GWJ20170610_0276,20170610,湖南,402,山石地,常绿灌木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU39720.jpg,,,,,,,,,, +矮生栒子,Cotoneaster dammeri,,136,19790415,四川,1100,土地凹茶場、山坡,,無花有果,https://image.cvh.ac.cn/files/l/SM/SM707008528.jpg,,,,,,,,,, +矮生栒子,Cotoneaster dammeri,刘静,Y07118,20070928,四川省,1827,常绿落叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902408.jpg,,,,,,,,,, +木帚◇2子,Cotoneaster dielsianus,黄河队,2804,1956/9/28,甘肃,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0083814.jpg,,,,,,,,,, +木帚栒子,Cotoneaster dielsianus,赵保惠,122,19500806,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/JXU/JXU0005194.jpg,,,,,,,,,, +木帚◇2子,Cotoneaster dielsianus,禹平华,183,1957/9/2,貴州,1400,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0203587.jpg,,,,,,,,,, +小叶木帚栒子,Cotoneaster dielsianus var. elegans,Harry Smith,4856,19221026,四川省,3400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00562230.jpg,,,,,,,,,, +小叶木帚栒子,Cotoneaster dielsianus var. elegans,方文培,5718,19391103,重庆市,,In thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/00395904.jpg,,,,,,,,,, +小叶木帚栒子,Cotoneaster dielsianus var. elegans,"李文华,胡勇",81-0154,19810610,云南省,2400,云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00562229.jpg,,,,,,,,,, +散生栒子,Cotoneaster divaricatus,郭本兆,10399,19720609,青海省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/109085.jpg,,,,,,,,,, +散生◇2子,Cotoneaster divaricatus,杨金祥,4258,1983/5/20,陕西,1700,,木本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0438360.jpg,,,,,,,,,, +散生栒子,Cotoneaster divaricatus,"王文中,田景全,秦绍英",684,19560821,山西省,1500,灌木丛中阳处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01641741.jpg,,,,,,,,,, +麻核栒子,Cotoneaster foveolatus,Ch. Wang,666,,河北省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00265688.jpg,,,,,,,,,, +麻核栒子,Cotoneaster foveolatus,植物资源考察队,D0539,19840624,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01640965.jpg,,,,,,,,,, +麻核栒子,Cotoneaster foveolatus,毕节队,1107,19590820,贵州省,2000,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01640941.jpg,,,,,,,,,, +西南栒子,Cotoneaster franchetii,Joseph F. Rock,22078,May-32,西藏; Southeast Tibet.,"10,0",,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00073788.jpg,,,,,,,,,, +西南栒子,Cotoneaster franchetii,简焯坡等,32011,19630915,贵州省,1300,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01710560.jpg,,,,,,,,,, +西南栒子,Cotoneaster franchetii,Henry,11341,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00073785.jpg,,,,,,,,,, +耐寒栒子,Cotoneaster frigidus,"唐宇丹,林秦文",2010-160,20100926,西藏自治区,2896,南北向沟谷西坡 沙土和腐殖土 地势,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039560.jpg,,,,,,,,,, +耐寒栒子,Cotoneaster frigidus,Qin Hai-ning,665,19960208,,290,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01639086.jpg,,,,,,,,,, +耐寒栒子,Cotoneaster frigidus,"张挺, 刘成, 亚吉东",18CS17635,20180913,西藏,2715,路边灌丛,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483571.jpg,,,,,,,,,, +球花栒子,Cotoneaster glomerulatus,C.W.Wang,65269,19350800,西藏自治区,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00396753.jpg,,,,,,,,,, +,Cotoneaster glomerulatus,"Forrest, George",8584,12-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00072862.jpg,,,,,,,,,, +球花栒子,Cotoneaster glomerulatus,,8350,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0296131.jpg,,,,,,,,,, +细弱栒子,Cotoneaster gracilis,"田先华, 董栓录",TianXH1192,20151010,陕西,1558,温带落叶阔叶林路旁,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1454392.jpg,,,,,,,,,, +细弱◇2子,Cotoneaster gracilis,王文采,2240,1951/5/30,河北,1260,,shrub,有花无果,https://image.cvh.ac.cn/files/l/WUK/0346028.jpg,,,,,,,,,, +细弱栒子,Cotoneaster gracilis,张志和等,1634,19890612,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/156955.jpg,,,,,,,,,, +钝叶栒子,Cotoneaster hebephyllus,仁果,106,19620510,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01829195.jpg,,,,,,,,,, +钝叶栒子,Cotoneaster hebephyllus,刘淼等,H20056,20050701,河南省,1400,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01710751.jpg,,,,,,,,,, +钝叶栒子,Cotoneaster hebephyllus,Forrest,2110,,西藏; Tibet,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00073799.jpg,,,,,,,,,, +平枝栒子,Cotoneaster horizontalis,廉永善等,96024,19960731,陕西省,1350,山坡谷底,,无花有果,https://image.cvh.ac.cn/files/l/PE/01641473.jpg,,,,,,,,,, +平枝栒子,Cotoneaster horizontalis,洪涛 向其柏,713,19630800,浙江,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2004857.jpg,,,,,,,,,, +平枝栒子,Cotoneaster horizontalis,Ho-Ch'ang Chow,1364,19340823,河北省,0,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00060914.jpg,,,,,,,,,, +,Cotoneaster kingdonii,,,,,,,,,,,,,,,,,,, +小叶栒子,Cotoneaster microphyllus,S.Noshiro et al.,9840093,19980819,,1890,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01921202.jpg,,,,,,,,,, +大果小叶栒子,Cotoneaster microphyllus,谭仲明,P456,20010801,四川省 ,1820,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00216568.jpg,,,,,,,,,, +小叶栒子,Cotoneaster microphyllus,"张红良, 木栅, 李玉瑛, 张贵良, 张绪岗",15PX401,20150917,云南,,高山灌木草甸,半灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395133.jpg,,,,,,,,,, +白毛小叶栒子,Cotoneaster microphyllus var. cochleatus,"孙振华, 郑志兴, 沈蕊, 柳小康, 许远钊",OuXK-YS-217,20191024,云南,,坡地,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1313230.jpg,,,,,,,,,, +白毛小叶栒子,Cotoneaster microphyllus var. cochleatus,唐宇丹等,LZ073,20061014,西藏自治区,2097,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02061967.jpg,,,,,,,,,, +白毛小叶◇2子,Cotoneaster microphyllus var. cochleatus,Jiang Xing-liao,35924,19530611,四川省,0,,Treetop,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0770617.jpg,,,,,,,,,, +无毛小叶栒子,Cotoneaster microphyllus var. glacialis,PE西藏队,PE6520,20170912,西藏自治区,3588,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309757.jpg,,,,,,,,,, +无毛小叶◇2子,Cotoneaster microphyllus var. glacialis,Hu Weng-guang,11092,19510901,四川省,0,,Versant,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0770619.jpg,,,,,,,,,, +细叶小叶栒子,Cotoneaster microphyllus var. thymifolius,PE西藏队,PE6649,20170914,西藏自治区,3934,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330111.jpg,,,,,,,,,, +细叶小叶栒子,Cotoneaster microphyllus var. thymifolius,,71,19720601,西藏,2900,路边、山麓,灌木,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00020216.jpg,,,,,,,,,, +细叶小叶栒子,Cotoneaster microphyllus var. thymifolius,仁果,108,19620510,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01829197.jpg,,,,,,,,,, +宝兴栒子,Cotoneaster moupinensis,李洪钧,6592,19580000,湖北省,1580,山坡灌木丛内,,无花有果,https://image.cvh.ac.cn/files/l/PE/00501190.jpg,,,,,,,,,, +宝兴栒子,Cotoneaster moupinensis,,358,19590701,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01641213.jpg,,,,,,,,,, +宝兴栒子,Cotoneaster moupinensis,H.T.Tsai,51018,19320616,云南省 ,2200,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0296329.jpg,,,,,,,,,, +水栒子,Cotoneaster multiflorus,"刘彬彬,刘广宁",3991,20180728,北京市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02234034.jpg,,,,,,,,,, +水栒子,Cotoneaster multiflorus,杨天资,207020128,20130528,山东省,25,,落叶灌木,无花有果,https://image.cvh.ac.cn/files/l/SDFGR/SDF1005667.jpg,,,,,,,,,, +水◇2子,Cotoneaster multiflorus,于兆英 徐养鹏,2402,Sep-81,内蒙,2080,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0433452.jpg,,,,,,,,,, +水栒子紫果变种,Cotoneaster multiflorus var. atropurpureus,谢登峰、卫静丽,2027825,20190922,四川,4662,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02027825.jpg,,,,,,,,,, +紫果水栒子,Cotoneaster multiflorus var. atropurpureus,C.W.Wang,70210,19350900,云南省,2700,Border of woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/00524041.jpg,,,,,,,,,, +紫果水栒子,Cotoneaster multiflorus var. atropurpureus,丁经业 梁大盛 秦志业,142,19610913,青海省,0,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/000821.jpg,,,,,,,,,, +两列栒子,Cotoneaster nitidus,K.L.Chu,604,19350000,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0296529.jpg,,,,,,,,,, +,Cotoneaster nitidus,彭玉兰、涂卫国,Gaoxf1036,20080907,四川,3314,,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0238322.jpg,,,,,,,,,, +两列栒子,Cotoneaster nitidus,Licent,5181,19190502,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00055471.jpg,,,,,,,,,, +暗红栒子,Cotoneaster obscurus,蓝顺彬,359,19850417,云南省,3000,向阳山坡杂林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01641535.jpg,,,,,,,,,, +暗红栒子,Cotoneaster obscurus,Chen Zhiduan Feng Min Ma Xintang Wang Meilin,960629,19960529,重庆市,1440~1520,damp valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/00562366.jpg,,,,,,,,,, +暗红栒子,Cotoneaster obscurus,,1817,19890727,西藏,,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2004787.jpg,,,,,,,,,, +毡毛栒子,Cotoneaster pannosus,邱炳云,57835,19581100,云南省,2000,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01710553.jpg,,,,,,,,,, +毡毛栒子,Cotoneaster pannosus,,6228,,云南省 ,1800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0296572.jpg,,,,,,,,,, +毡毛栒子,Cotoneaster pannosus,候小琪,520425170602135LY,20170602,贵州,,灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0005039.jpg,,,,,,,,,, +,Cotoneaster poluninii,Bertil Hylmo,1373,19760620,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01639220.jpg,,,,,,,,,, +,Cotoneaster poluninii,"刘成, 蔡杰",13CS6774,20131107,云南,,干热河谷石灰岩山坡灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1322239.jpg,,,,,,,,,, +,Cotoneaster rotundifolius,高信芬、涂卫国、何海、乔永康,6770,20030901,西藏,2400,公路边,藤本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189541.jpg,,,,,,,,,, +圆叶栒子,Cotoneaster rotundifolius,F.Forrest,2223,19961202,云南省 ,3050,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0296609.jpg,,,,,,,,,, +圆叶栒子,Cotoneaster rotundifolius,,1004,19790725,四川,1900,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM707000532.jpg,,,,,,,,,, +红花栒子,Cotoneaster rubens,青藏队,3733,19810803,四川省,4100,冷杉林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01147629.jpg,,,,,,,,,, +,Cotoneaster rubens,胡君、王东超、李丽、唐露,SC-a-057-B02,20180726,贵州,,高山栎群落中,灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609360.jpg,,,,,,,,,, +红花栒子,Cotoneaster rubens,F.Ludlow et al.,20364,19490614,,4167,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01639230.jpg,,,,,,,,,, +血色栒子,Cotoneaster sanguineus,西藏中草药普查队,248,19720613,西藏自治区,3700,山地灌丛水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00524571.jpg,,,,,,,,,, +血色栒子,Cotoneaster sanguineus,T.T.Yu,12846,19370822,四川省,3600,among thickets,,无花无果,https://image.cvh.ac.cn/files/l/PE/00524569.jpg,,,,,,,,,, +,Cotoneaster sanguineus,F. Ludlow & G. Sherriff,2157,1936/6/13,,3962,,,,https://image.cvh.ac.cn/files/l/HUH/A00026288.jpg,,,,,,,,,, +,Cotoneaster shannanensis,,,,,,,,,,,,,,,,,,, +康巴栒子,Cotoneaster sherriffii,生态室高原组,10468,19800614,西藏自治区,3800,崖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494545.jpg,,,,,,,,,, +,Cotoneaster sherriffii,"Ludlow, Frank: Sherriff, George & Taylor, George",5677,26-Jun-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00010988.jpg,,,,,,,,,, +康巴栒子,Cotoneaster sherriffii,姜恕等,9416,19600607,云南省,2300,河岸阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00524601.jpg,,,,,,,,,, +,Cotoneaster simonsii,,,,,,,,,,,,,,,,,,, +准噶尔栒子,Cotoneaster soongoricus,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13223,20160818,新疆,1488,石头山灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1447457.jpg,,,,,,,,,, +准噶尔栒子,Cotoneaster soongoricus,孙学刚等,6244,20060804,甘肃省,2230,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840792.jpg,,,,,,,,,, +准噶尔栒子,Cotoneaster soongoricus,高作经 等,1705,19580730,内蒙古,,,,无花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0003969.jpg,,,,,,,,,, +毛叶水栒子,Cotoneaster submultiflorus,科学院黄河队甘一队,2232,19560800,甘肃省,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02082001.jpg,,,,,,,,,, +毛叶水栒子,Cotoneaster submultiflorus,李彩琪,52,19570518,西安,,,,有花无果,https://image.cvh.ac.cn/files/l/SHM/SHM0020513.jpg,,,,,,,,,, +毛叶水栒子,Cotoneaster submultiflorus,于兆英,2402,19810907,内蒙古自治区,2080,沟谷阳坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01640714.jpg,,,,,,,,,, +,Cotoneaster tsarongensis,"Forrest, George",19116,19-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00072869.jpg,,,,,,,,,, +疣枝栒子,Cotoneaster verruculosus,,24081,19591018,云南省,3200,沟边石岩上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01641406.jpg,,,,,,,,,, +疣枝栒子,Cotoneaster verruculosus,George Forrest,30397,,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01641405.jpg,,,,,,,,,, +疣枝栒子,Cotoneaster verruculosus,G.Forrest,9051,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0296763.jpg,,,,,,,,,, +翅托叶猪屎豆,Crotalaria alata,张挺,刘成,刘发山等,09CS1296,20090618,云南,1006,常绿阔叶林林缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1319724.jpg,,,,,,,,,, +翅托叶猪屎豆,Crotalaria alata,,s.n.,,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0168612.jpg,,,,,,,,,, +翅托叶猪屎豆,Crotalaria alata,喻勋林 徐永福 谭洪田,909050,20090917,湖南省,243,路边草丛中,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI060784.jpg,,,,,,,,,, +响铃豆,Crotalaria albida,"Y.Tateishi,F.W.Xing",1027015,19931027,海南省 ,400,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0168722.jpg,,,,,,,,,, +响铃豆,Crotalaria albida,陈恒彬,895,19850902,福建省,250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00101226.jpg,,,,,,,,,, +响铃豆,Crotalaria albida,平乐县普查队,450330180912027LY,20180912,广西,157,灌丛,路旁,黄棕壤,一般野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00412637.jpg,,,,,,,,,, +长萼猪屎豆,Crotalaria calycina,Ming-Jer Jung,3251,20080825,台湾省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01879981.jpg,,,,,,,,,, +长萼猪屎豆,Crotalaria calycina,黄雪彦、农东新、蓝祖栽、胡雪阳,451031121130001LY,20121130,广西,,灌丛,阳坡,黄棕壤,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0189387.jpg,,,,,,,,,, +长萼猪屎豆,Crotalaria calycina,北京队,896387,19890908,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01996548.jpg,,,,,,,,,, +思茅猪屎豆,Crotalaria cytisoides,C.W.Wang,79073,19360900,云南省 ,1600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0164095.jpg,,,,,,,,,, +,Crotalaria cytisoides,C.W.Wang,78631,19360900,云南省,1200,Borker of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00101462.jpg,,,,,,,,,, +,Crotalaria cytisoides,陈伟烈,14301,19800819,西藏自治区,1200,次生林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495265.jpg,,,,,,,,,, +假地兰,Crotalaria ferruginea,蔡希陶,59-10553,1959/10/14,青海,1100,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0279201.jpg,,,,,,,,,, +假地兰,Crotalaria ferruginea,邓良,7342,19580830,广东省,700~900,路旁、水旁、山谷、少见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00101582.jpg,,,,,,,,,, +假地蓝,Crotalaria ferruginea,王文豪,3321,20120623,河南,321,郊区,,有花有果,https://image.cvh.ac.cn/files/l/HENU/HENU1903321.jpg,,,,,,,,,, +菽麻,Crotalaria juncea,T.N.Liou,13763,19450630,云南省,1930,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00101695.jpg,,,,,,,,,, +菽麻,Crotalaria juncea,C.M.Wang,4462,20001003,台湾省,5,on roadside exposed site,,有花无果,https://image.cvh.ac.cn/files/l/PE/01515402.jpg,,,,,,,,,, +菽麻,Crotalaria juncea,黄志,34813,19331023,海南,,in grasses,herb,有花无果,https://image.cvh.ac.cn/files/l/SN/SN007443.jpg,,,,,,,,,, +,Crotalaria laburnifolia,O. Warburg,,1886,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00046099.jpg,,,,,,,,,, +,Crotalaria mairei,刘慎谔,22712,19461109,云南省,,河边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00463374.jpg,,,,,,,,,, +,Crotalaria mairei,黄连山科研所,HLS0386,20111222,云南,,次生森林,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1319827.jpg,,,,,,,,,, +头花猪屎豆,Crotalaria mairei,瞿平忠,520222140817001LY,20150817,贵州省,1713.5,野生植物、中温、旱生、阳性、酸性土、灌丛,多年生草本植物,有花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0044779.jpg,,,,,,,,,, +,Crotalaria mysorensis,T.N.Liou,742,19300817,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00101834.jpg,,,,,,,,,, +褐毛猪屎豆,Crotalaria mysorensis,,18681,19290801,,1500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0174259.jpg,,,,,,,,,, +褐毛猪屎豆,Crotalaria mysorensis,麻栗坡队,5326240204,20150709,云南,1055,亚热带常绿阔叶林,喜阴,无花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027126.jpg,,,,,,,,,, +猪屎豆,Crotalaria pallida,余奇,代文台,CIBYQ091B014,20190824,四川,1809,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1503719.jpg,,,,,,,,,, +,Crotalaria pallida,"K.S.Chow,etc.",78852,19781223,海南省,90,at the foot of a hill,,无花有果,https://image.cvh.ac.cn/files/l/PE/00101921.jpg,,,,,,,,,, +,Crotalaria pallida,,K7485,19510921,山东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00101845.jpg,,,,,,,,,, +,Crotalaria retusa,陈少卿,2020,19420801,湖南省,,肥土、栽培、疏阴,,有花无果,https://image.cvh.ac.cn/files/l/PE/00101946.jpg,,,,,,,,,, +吊裙草,Crotalaria retusa,陈少卿,3703,19430920,湖南,100,栽培田中,草本,有花无果,https://image.cvh.ac.cn/files/l/SN/SN007447.jpg,,,,,,,,,, +,Crotalaria retusa,梁向日,68651,19550415,海南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00101958.jpg,,,,,,,,,, +野百合,Crotalaria sessiliflora,江津队,500116-255,20120702,重庆市,317,阳坡,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0016175.jpg,,,,,,,,,, +紫花野百合,Crotalaria sessiliflora,"蔡秀珍,李俊,王婷",CXZ130,20200821,河南,432,密林林中林地河谷路边,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0206327.jpg,,,,,,,,,, +野百合,Crotalaria sessiliflora,刘克荣,107,19580906,湖北省,800,山坡稀灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00176072.jpg,,,,,,,,,, +大托叶猪屎豆,Crotalaria spectabilis,麻栗坡队,5326240578,20151027,云南,1076,亚热带常绿阔叶林,喜阳,无花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027400.jpg,,,,,,,,,, +大叶猪屎豆,Crotalaria spectabilis,李美谕,200902508,20100709,广东,,耐旱耐贫瘠,耐酸性土壤,,有花,https://image.cvh.ac.cn/files/l/SN/SN002027.jpg,,,,,,,,,, +,Crotalaria spectabilis,叶国栋,2247,19811011,福建省,150,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00176176.jpg,,,,,,,,,, +四棱猪屎豆,Crotalaria tetragona,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14472,20161116,西藏,1046,路边,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445531.jpg,,,,,,,,,, +,Crotalaria tetragona,叶国栋,726,19770909,福建省,,家种,,无花有果,https://image.cvh.ac.cn/files/l/PE/00176185.jpg,,,,,,,,,, +,Crotalaria tetragona,曹子余,1222,19581031,贵州省,750,沟旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00176183.jpg,,,,,,,,,, +,Crotalaria yunnanensis,,,,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00176236.jpg,,,,,,,,,, +云南猪屎豆,Crotalaria yunnanensis,E.E.Maire,63102,19100600,云南省 ,2600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0164600.jpg,,,,,,,,,, +,Crotalaria yunnanensis,曲式曾,17,19540700,新疆,,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00018907.jpg,,,,,,,,,, +卵叶巴豆,Croton caudatus,Rahmat Si Toroes,1600,1932/3/3,Sumatra,,,藤本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00033243.jpg,,,,,,,,,, +毛叶巴豆,Croton caudatus,叶金科,YN4183,20070515,云南,800~1000,山坡;杂木林,,有花无果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0004136.jpg,,,,,,,,,, +,Croton caudatus,中苏联合云南考察队,9350,19570417,云南省 ,0,平原,山脚,半阴处,阳处,路旁,疏林中,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0183715.jpg,,,,,,,,,, +,Croton chlorocalyx,,,,,,,,,,,,,,,,,,, +长果巴豆,Croton joufra,,6711,19620607,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0310734.jpg,,,,,,,,,, +,Croton joufra,中苏联合考察团,440,19560414,云南省,400,山地,阴处,山坡,,,https://image.cvh.ac.cn/files/l/KUN/1294215.jpg,,,,,,,,,, +长果巴豆,Croton joufra,吊罗山队,3005,19541128,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/014283.jpg,,,,,,,,,, +巴豆,Croton tiglium,,6086,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01693233.jpg,,,,,,,,,, +巴豆,Croton tiglium,Harry Smith,10024,19340607,四川省,400,north side of Min River,,有花无果,https://image.cvh.ac.cn/files/l/PE/01381109.jpg,,,,,,,,,, +巴豆,Croton tiglium,陈少卿,1982,19420727,湖南省,,山谷疏林中疏阴,,有花有果,https://image.cvh.ac.cn/files/l/PE/00901939.jpg,,,,,,,,,, +甜瓜,Cucumis melo,普查队,43663,19510829,辽宁省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0207584.jpg,,,,,,,,,, +甜瓜,Cucumis melo,张丽,67,20200712,山东,134,路边,蔓性草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0059596.jpg,,,,,,,,,, +甜瓜,Cucumis melo,毋绪燕,57,1978/6/26,陕西,470,,藤本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0346714.jpg,,,,,,,,,, +黄瓜,Cucumis sativus,,平521,19720825,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01205120.jpg,,,,,,,,,, +黄瓜,Cucumis sativus,环江县普查队,451226130720002LY,20130720,广西,236,灌丛,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0112524.jpg,,,,,,,,,, +黄瓜,Cucumis sativus,何叶祺,7855,1959/8/28,内蒙,1800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0157112.jpg,,,,,,,,,, +笋瓜,Cucurbita maxima,,s.n.,19070728,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01178436.jpg,,,,,,,,,, +笋瓜,Cucurbita maxima,T.F.King,K.666,19360911,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01178433.jpg,,,,,,,,,, +笋瓜,Cucurbita maxima,梁向日,66909,19351014,广西壮族自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0207636.jpg,,,,,,,,,, +南瓜,Cucurbita moschata,C.O.Levine,1033,19280615,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01178457.jpg,,,,,,,,,, +南瓜,Cucurbita moschata,陈少卿,1868,19420711,湖南省,,肥土栽培田中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01178455.jpg,,,,,,,,,, +红南瓜,Cucurbita moschata,王玉雷,892,19790710,天津市,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00032505.jpg,,,,,,,,,, +西葫芦,Cucurbita pepo,Courtois,33270,19230926,江苏省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00272839.jpg,,,,,,,,,, +西葫芦,Cucurbita pepo,王崇书,903,19570731,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/IFP/09706003x0002.jpg,,,,,,,,,, +西葫芦,Cucurbita pepo,,9392,19290521,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01178469.jpg,,,,,,,,,, +香膏萼距花,Cuphea carthagenensis,唐国旺、李紫默,TangGW1045,20210304,海南,624,热带季风阔叶林路边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1559650.jpg,,,,,,,,,, +香膏萼距花,Cuphea carthagenensis,王发国,RQHN02760,20150425,澳门,41,水库边,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0127402.jpg,,,,,,,,,, +,Cuphea carthagenensis,Jose F.Ruiz Rios,118,20071024,,500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111881.jpg,,,,,,,,,, +萼距花,Cuphea hookeriana,侯元同,郭成勇,李爱民,侯春丽,201702303-1,20170210,四川,321.26,湖边,灌木,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0046733.jpg,,,,,,,,,, +萼距花,Cuphea hookeriana,傅坤俊,,,陕西,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0098338.jpg,,,,,,,,,, +萼距花,Cuphea hookeriana,刘正宇、张军等,RQHZ06730-02,20140824,重庆,302,栽培,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0085220.jpg,,,,,,,,,, +小雀瓜,Cyclanthera pedata,"夏光成,米泰康",865,19601006,西藏自治区,2200,田野栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/01178480.jpg,,,,,,,,,, +小雀瓜,Cyclanthera pedata,关克俭,s.n.,19800922,云南省,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/01178478.jpg,,,,,,,,,, +小雀瓜,Cyclanthera pedata,秦仁昌,50453,19520000,云南省 ,0,滇西,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0550311.jpg,,,,,,,,,, +,Cyclea bicristata,,,,,,,,,,,,,,,,,,, +,Cyclea peltata,,77181,1925-09-,,1400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0095807.jpg,,,,,,,,,, +,Cyclobalanopsis macrocalyx,,,,,,,,,,,,,,,,,,, +,Cynometra polyandra,,,,,,,,,,,,,,,,,,, +瘤冠麻,Cypholophus moluccanus,T.Y.A.Yang & C.H.Chu,8029,19970423,台湾省,20,In forests,,无花无果,https://image.cvh.ac.cn/files/l/PE/00604676.jpg,,,,,,,,,, +瘤冠麻,Cypholophus moluccanus,张寿洲、王晖,1405117,20140515,西藏自治区,,,乔木,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00099351.jpg,,,,,,,,,, +金雀儿,Cytisus scoparius,植物组,,1948728,台湾,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2008816.jpg,,,,,,,,,, +,Cytisus scoparius,,75-106,19750526,西藏自治区,3650,公园内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01153798.jpg,,,,,,,,,, +金雀儿,Cytisus scoparius,吴秀武,5.23E+14,20160401,贵州省,808.1,中生、阳性、中温、野生植物、沙土、针叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0042439.jpg,,,,,,,,,, +,Dactylicapnos arunachalensis,,,,,,,,,,,,,,,,,,, +,Dactylicapnos grandifoliolata,"程树志,李渤生",191,19820818,西藏自治区,2200~2400,常绿阔叶林下常见草本,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02308651.jpg,,,,,,,,,, +薄壳紫金龙,Dactylicapnos macrocapnos,西藏中草药普查队,1060,19720813,西藏自治区,2300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01041026.jpg,,,,,,,,,, +宽果紫金龙,Dactylicapnos roylei,陈谋,2357,19340000,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0675890.jpg,,,,,,,,,, +,Dactylicapnos roylei,李爱花,李洪超等,SCSB-A-000175,20060923,云南,2406,河边灌丛,攀援草本,,https://image.cvh.ac.cn/files/l/KUN/1234409.jpg,,,,,,,,,, +,Dactylicapnos roylei,,21467,,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0003605.jpg,,,,,,,,,, +,Dactylicapnos scandens,张挺,刘成,郭永杰,08CS939,20081119,云南,1534,季风常绿阔叶林林下,木质藤本,,https://image.cvh.ac.cn/files/l/KUN/1234410.jpg,,,,,,,,,, +紫金龙,Dactylicapnos scandens,王一,2504,20120702,河南,220,山坡,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1902504.jpg,,,,,,,,,, +紫金龙,Dactylicapnos scandens,陈伟烈,14532,19800830,西藏自治区,2100,山坡树根附近,,有花无果,https://image.cvh.ac.cn/files/l/PE/02073061.jpg,,,,,,,,,, +扭果紫金龙,Dactylicapnos torulosa,K.K.TSOONGG,,19190904,大理,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0003589.jpg,,,,,,,,,, +扭果紫金龙,Dactylicapnos torulosa,蔡希陶,56558,,云南省 ,0,,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0676033.jpg,,,,,,,,,, +扭果紫金龙,Dactylicapnos torulosa,"程树志,李渤生",1406,19821004,西藏自治区,2350,常绿阔叶林下荒坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02050674.jpg,,,,,,,,,, +,Dalbergia assamica,紫胶队,2211,19560000,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01229483.jpg,,,,,,,,,, +,Dalbergia assamica,曾飞燕等,412,19990509,广东省,400,山地路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00304538.jpg,,,,,,,,,, +,Dalbergia assamica,"Lei, C. I. ",913,19330804,海南省,,"moist gentle slope,sandy soil",,有花无果,https://image.cvh.ac.cn/files/l/PE/00176899.jpg,,,,,,,,,, +,Dalbergia lanceolaria,,1,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0169325.jpg,,,,,,,,,, +象鼻藤,Dalbergia mimosoides,张代贵,zdg6223,20120722,湖北神农架林区,,,乔木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU21492.jpg,,,,,,,,,, +象鼻藤,Dalbergia mimosoides,"李启和,陈策",1412,19590624,山西省,,山坡,山脚,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00176919.jpg,,,,,,,,,, +象鼻藤,Dalbergia mimosoides,张代贵,200031,19880108,湖南张家界,,山坡灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU24370.jpg,,,,,,,,,, +奥氏黄檀,Dalbergia oliveri,Pyae Pyae Win,PPW029,20190106,,171,"Tropical Rain Forest,Cultivated",乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029073.jpg,,,,,,,,,, +,Dalbergia pinnata,北京队,890472,19890427,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01996872.jpg,,,,,,,,,, +斜叶黄檀,Dalbergia pinnata,南植地,3376,,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00039930.jpg,,,,,,,,,, +斜叶黄檀,Dalbergia pinnata,广西弄岗综考队,11639,1979-11-,广西,,,藤本,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00041873.jpg,,,,,,,,,, +,Dalbergia rimosa,中国科学院广东合浦区植物调查队,2068,19560517,广东省,,路旁疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00177126.jpg,,,,,,,,,, +多裂黄檀,Dalbergia rimosa,Lau S.K.,3437,1934/3/3,海南; HAINAN,,,攀援,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00039938.jpg,,,,,,,,,, +,Dalbergia rimosa,考察队,32521,19820517,云南省,,路边干燥,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710282.jpg,,,,,,,,,, +,Dalbergia sericea,"S.K.Wu,Y.M.Shui et al.",969,19951105,云南省,1200~900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01879552.jpg,,,,,,,,,, +,Dalbergia sericea,生态室高原组,11160,19800718,西藏自治区,1200,丛林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495244.jpg,,,,,,,,,, +毛叶黄檀,Dalbergia sericea,H.Ohashi etc.,14452,19670508,,0,,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0607591.jpg,,,,,,,,,, +印度黄檀,Dalbergia sissoo,林仰三,156,19790913,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0164744.jpg,,,,,,,,,, +印度黄檀,Dalbergia sissoo,西沙队,3391,19740728,海南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0164750.jpg,,,,,,,,,, +印度黄檀,Dalbergia sissoo,高信芬、张良、李蒙、张桥蓉、亚吉东、崔光帅,QTP-II08-T05-000029,20171124,Province No. 3(第三),179,along brook,Small tree,无花有果,https://image.cvh.ac.cn/files/l/KUN/1552227.jpg,,,,,,,,,, +,Dalbergia stipulacea,"L.Q.Li,N.T.Hiep,Z.Y.Zhang,X.C.Zhang et al.",402,20041027,,200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01229343.jpg,,,,,,,,,, +托叶黄檀,Dalbergia stipulacea,梁建英,K1627,19830928,广西壮族自治区,900,山地、山坡、疏林、黄壤、普遍,亚灌木,,https://image.cvh.ac.cn/files/l/IBK/IBK00330036.jpg,,,,,,,,,, +托叶黄檀,Dalbergia stipulacea,中苏队,9124,19570330,云南省 ,1400,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0164760.jpg,,,,,,,,,, +,Dalhousiea bracteata,,,,,,,,,,,,,,,,,,, +牛耳枫,Daphniphyllum calycinum,青藏队,74-5011,19740903,西藏自治区,1520,山坡阔叶林中,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0404921.jpg,,,,,,,,,, +牛耳枫,Daphniphyllum calycinum,"郭永杰, 张桥蓉, 方云花, 金建军, 孙兴旭",17CS14912,20171105,浙江,38,常绿、落叶阔叶混交林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1456347.jpg,,,,,,,,,, +牛耳枫,Daphniphyllum calycinum,,780,19451216,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01263497.jpg,,,,,,,,,, +纸叶虎皮楠,Daphniphyllum chartaceum,胡君,熊豫宁,伍小刚,王东超,HJ05258,20151018,西藏自治区,1600,山坡疏林中,常绿小乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00594521.jpg,,,,,,,,,, +纸叶虎皮楠,Daphniphyllum chartaceum,"张挺, 何德明, 黎谷香",12CS4234,20121018,云南,,山坡林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395127.jpg,,,,,,,,,, +纸叶虎皮楠,Daphniphyllum chartaceum,吴克英,20186228,20180418,贵州省,638,山路边,,无花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0027734.jpg,,,,,,,,,, +西藏虎皮楠,Daphniphyllum himalense,"刘成, 亚吉东",18CS17294,20181126,西藏,1419,常绿阔叶林林下,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487442.jpg,,,,,,,,,, +西藏虎皮楠,Daphniphyllum himalense,H.Ohashi ,68611,20040611,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01348430.jpg,,,,,,,,,, +西藏虎皮楠,Daphniphyllum himalense,周应再,ZhouYZ201,20180602,云南,2269,中山湿性常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445496.jpg,,,,,,,,,, +脉叶虎皮楠,Daphniphyllum paxianum,黄雪彦、黄宝优、李金花,451425150913117LY,20150913,广西,725,灌丛,林缘,石灰土,乔木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0182904.jpg,,,,,,,,,, +脉叶虎皮楠,Daphniphyllum paxianum,中苏调查团,2439,19550626,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983433.jpg,,,,,,,,,, +脉叶虎皮楠,Daphniphyllum paxianum,方文培; W.P. Fang,3874,1930/7/7,四川; Szechuan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00033030.jpg,,,,,,,,,, +,Dasiphora arbuscula,,,,,,,,,,,,,,,,,,, +,Dasiphora dryadanthoides,,,,,,,,,,,,,,,,,,, +,Dasiphora fruticosa,PE西藏队,PE6648,20170914,西藏自治区,3934,路边山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02309869.jpg,,,,,,,,,, +金露梅,Dasiphora fruticosa,刘家宜,刘10185,19810818,山西省,2485,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00014133.jpg,,,,,,,,,, +,Dasiphora fruticosa,Kuklina A.G. et al.,s.n.,19840711,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062643.jpg,,,,,,,,,, +,Dasiphora glabra,PE西藏队,PE5248,20170826,西藏自治区,4270,林下灌层,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309871.jpg,,,,,,,,,, +,Dasiphora glabra,张树仁等,2187,20140621,四川省,1901~2400,路边 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918856.jpg,,,,,,,,,, +,Dasiphora mandshurica,,345,,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01236655.jpg,,,,,,,,,, +,Dasiphora parvifolia,,,19630826,内蒙古自治区,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/126069479.jpg,,,,,,,,,, +小叶金老梅,Dasiphora parvifolia,,,19350721,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00045176.jpg,,,,,,,,,, +小叶金露梅,Dasiphora parvifolia,王菁兰,8,2011/7/27,宁夏,,,,,https://image.cvh.ac.cn/files/l/BNU/004985.jpg,,,,,,,,,, +,Dasiphora spectabilis,,,,,,,,,,,,,,,,,,, +长叶水麻,Debregeasia longifolia,何业祺,1325,1958/10/19,甘肃省 ,750,,灌木 ,无花无果,https://image.cvh.ac.cn/files/l/WUK/0166718.jpg,,,,,,,,,, +长叶水麻,Debregeasia longifolia,"龙春林, 杨珺, 雷启义, 李东平, 周悦, 罗斌圣",LONGCL-083,20160706,贵州,1171,亚热带常绿阔叶林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444210.jpg,,,,,,,,,, +长叶水麻,Debregeasia longifolia,"吴增源,刘杰",WuZY2012188,20120820,湖北省,975,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01892738.jpg,,,,,,,,,, +水麻,Debregeasia orientalis,巴山采集队,2996,20100722,陕西省,970,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066129.jpg,,,,,,,,,, +水麻,Debregeasia orientalis,武陵山考察队,443,19880604,贵州省,600,沿河,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846436.jpg,,,,,,,,,, +水麻,Debregeasia orientalis,李家湘 胡召波,1027,20100703,湖南,,,,,https://image.cvh.ac.cn/files/l/CSFI/CSFI052478.jpg,,,,,,,,,, +柳叶水麻,Debregeasia saeneb,吕振宇,李丽娟,刘群,向-995,20200723,云南,1501.63,,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1512525.jpg,,,,,,,,,, +柳叶水麻,Debregeasia saeneb,高连明,GLM-092394,20090524,云南省,1520,in mixed forest along the pass,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261897.jpg,,,,,,,,,, +柳叶水麻,Debregeasia saeneb,B.Bartholomew et al.,3978,19860407,,2200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01724958.jpg,,,,,,,,,, +,Decaisnea insignis,X.Q.Huang,532,19831005,江西省,1265,山沟,溪边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01028783.jpg,,,,,,,,,, +,Decaisnea insignis,,270,19730628,陕西省,900,沟谷 阴湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/01573616.jpg,,,,,,,,,, +,Decaisnea insignis,郭永杰、亚吉东、李小杰、韩杰,14CS8202,20140411,云南,,常绿阔叶林下,木质藤本,,https://image.cvh.ac.cn/files/l/KUN/1320856.jpg,,,,,,,,,, +马瓣子楝树,Decaspermum parviflorum,Linyang Chen etc.,KC-0337,20140713,云南省,1459,"Scrub, forests; below 2000m",,无花有果,https://image.cvh.ac.cn/files/l/KUN/1259053.jpg,,,,,,,,,, +五瓣子楝树,Decaspermum parviflorum,阳朔县普查队,450321170707011LY,20170707,广西,281,灌丛,林缘,黄棕壤,一般野生,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00414162.jpg,,,,,,,,,, +,Decaspermum parviflorum,鲁艳,07-166,20071102,云南,1600,次生林,灌木,,https://image.cvh.ac.cn/files/l/KUN/1251445.jpg,,,,,,,,,, +高茎翠雀花,Delphinium altissimum,倪志诚等,2305,19810916,西藏自治区,2300~2600,山坡林缘草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00476102.jpg,,,,,,,,,, +高茎翠雀花,Delphinium altissimum,邹垣,408,19510618,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00013471.jpg,,,,,,,,,, +粗裂宽距翠雀花,Delphinium beesianum var. latisectum,陈家辉,王赟,刘德团等,YangYP-Q-3170,20100915,西藏,4800,高山灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1232436.jpg,,,,,,,,,, +粗裂宽距翠雀花,Delphinium beesianum var. latisectum,青藏队植被组,9984,19760901,西藏自治区,4780,砾石坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00048405.jpg,,,,,,,,,, +粗裂宽距翠雀花,Delphinium beesianum var. latisectum,C.W.Wang,64995,19350803,云南省,3500,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00026962.jpg,,,,,,,,,, +辐裂翠雀花,Delphinium beesianum var. radiatifolium,"周德,吴文元",B2,20000908,四川省,4100,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01315197.jpg,,,,,,,,,, +辐裂翠雀花,Delphinium beesianum var. radiatifolium,青藏队,11037,19821008,西藏自治区,4200~4300,山坡 灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01109063.jpg,,,,,,,,,, +辐裂翠雀花,Delphinium beesianum var. radiatifolium,普查大队,140,28716,四川,,河边,碎石带,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM704603086.jpg,,,,,,,,,, +囊距翠雀花,Delphinium brunonianum,扎西次仁,ZhongY201,20080816,西藏,5379,草坡或多石砾山坡,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1232437.jpg,,,,,,,,,, +囊距翠雀花,Delphinium brunonianum,杨竞生,90-602,1990-09-,西藏省,500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087216.jpg,,,,,,,,,, +囊距翠雀花,Delphinium brunonianum,J.E.Duthie,24204,,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087218.jpg,,,,,,,,,, +蓝翠雀花,Delphinium caeruleum,Q.E.Yang and Q.Yuan,394,20050817,青海省,3400,dry grassland on roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859919.jpg,,,,,,,,,, +蓝翠雀花,Delphinium caeruleum,D.E.Boufford et al.,40354,20070823,四川省,2810,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859743.jpg,,,,,,,,,, +蓝翠雀花,Delphinium caeruleum,尹鑫,吴航,葛文静,LiuJQ-GN-2011-217,20110923,甘肃,3055,亚高山草甸平地,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232537.jpg,,,,,,,,,, +钝裂蓝翠雀花,Delphinium caeruleum var. obtusilobum,FLPH Tibet Expedition,12-0058,20120903,西藏自治区,5231,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966812.jpg,,,,,,,,,, +钝裂蓝翠雀花,Delphinium caeruleum var. obtusilobum,周立华,63,19660824,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/000406.jpg,,,,,,,,,, +钝裂蓝翠雀花,Delphinium caeruleum var. obtusilobum,魏来、郝加琛,15504,20150731,西藏,4929,路边山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0025939.jpg,,,,,,,,,, +单花翠雀花,Delphinium candelabrum var. monanthum,林有润,80-141,1980-09-,青海省,3200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087240.jpg,,,,,,,,,, +单花翠雀花,Delphinium candelabrum var. monanthum,"孟千万,谢鸿妍",,20050809,四川省,4880,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980894.jpg,,,,,,,,,, +,Delphinium candelabrum var. monanthum,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0387,20080722,西藏,5116,流石滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1232548.jpg,,,,,,,,,, +角萼翠雀花,Delphinium ceratophorum,Q.E.Yang and Q.Yuan,141,20030913,云南省,2600~3200,rocky crevices in scrub or grassy slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/01859933.jpg,,,,,,,,,, +角萼翠雀花,Delphinium ceratophorum,,12091,19380911,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0002085.jpg,,,,,,,,,, +角萼翠雀花,Delphinium ceratophorum,刘慎谔,22043,1946-12-,辽宁省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087245.jpg,,,,,,,,,, +,Delphinium changduense,,,,,,,,,,,,,,,,,,, +察瓦龙翠雀花,Delphinium chrysotrichum var. tsarongense,"杨亲二,袁琼",Yangqe2493,20080908,云南省,4000,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01315199.jpg,,,,,,,,,, +察瓦龙翠雀花,Delphinium chrysotrichum var. tsarongense,,,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005901.jpg,,,,,,,,,, +,Delphinium chrysotrichum var. tsarongense,"Handel-Mazzetti, H.F.von",7934,1915/9/17,,,,,,https://image.cvh.ac.cn/files/l/P/P00201208.jpg,,,,,,,,,, +,Delphinium conocentrum,,,,,,,,,,,,,,,,,,, +密花翠雀花,Delphinium densiflorum,西藏中草药普查队,1554,19720827,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/31001.jpg,,,,,,,,,, +密花翠雀花,Delphinium densiflorum,中国科学院青甘调查队,1687,19590808,青海省,4450,冲积扇,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467949.jpg,,,,,,,,,, +密花翠雀花,Delphinium densiflorum,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00066525.jpg,,,,,,,,,, +二距翠雀花,Delphinium dicentrum,PE-西藏考察队,6112,20170907,西藏,4398,高山草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/02293612.jpg,,,,,,,,,, +光茎短距翠雀花,Delphinium forrestii var. viride,FLPH Tibet Expedition,12-1549,20120917,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01966668.jpg,,,,,,,,,, +光茎短距翠雀花,Delphinium forrestii var. viride,Q.E.Yang and Q.Yuan,23,20030812,云南省,4300,scrub on stram side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01349669.jpg,,,,,,,,,, +冰川翠雀花,Delphinium glaciale,青藏队,7504,19750907,西藏自治区,5300,高山流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500231.jpg,,,,,,,,,, +冰川翠雀花,Delphinium glaciale,F.Miyamoto et al.,92277,19950815,,5080~5445,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901606.jpg,,,,,,,,,, +,Delphinium hillcoatiae var. pilocarpum,夏光成等,2794,19650919,西藏自治区,3700,山脚下草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298694.jpg,,,,,,,,,, +,Delphinium himalayae,,,,,,,,,,,,,,,,,,, +光序翠雀花,Delphinium kamaonense,Q.E.Yang and Q.Yuan,431,20050820,青海省,4050,grassy slope scrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350494.jpg,,,,,,,,,, +光序翠雀花,Delphinium kamaonense,张晓纬,田新民,罗建,LiuJQ-09XZ-lzt-085,20090909,西藏,3458,高原河谷,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232587.jpg,,,,,,,,,, +展毛翠雀花,Delphinium kamaonense,陈世龙,高庆波,张发起等,ChenSL0681,20090818,青海,4130,高山河谷,柏树林,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232592.jpg,,,,,,,,,, +展毛翠雀花,Delphinium kamaonense var. glabrescens,李馨,78075,1958/7/8,四川省 ,2150,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0235204.jpg,,,,,,,,,, +展毛翠雀花,Delphinium kamaonense var. glabrescens,任勃,14,20030811,青海省,3850,滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957630.jpg,,,,,,,,,, +展毛翠雀花,Delphinium kamaonense var. glabrescens,罗建,汪书丽,LiuJQ-08XZ-111,20080726,西藏,3030,路边林缘草丛,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232599.jpg,,,,,,,,,, +尖裂密叶翠雀花,Delphinium kingianum var. acuminatissimum,PE西藏队,PE6117,20170907,西藏自治区,4474,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309349.jpg,,,,,,,,,, +尖裂密叶翠雀花,Delphinium kingianum var. acuminatissimum,,13743,19760914,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00049186.jpg,,,,,,,,,, +少腺密叶翠雀花,Delphinium kingianum var. eglandulosum,FLPH Tibet Expedition,12-0814,20120902,西藏自治区,4236,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966649.jpg,,,,,,,,,, +细距翠雀花,Delphinium lagarocentrum,康藏植物考察队,10-1201,20100804,西藏自治区,3682,山谷云杉林陡坡岩壁上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01874444.jpg,,,,,,,,,, +狭裂翠雀花,Delphinium lagarolobum,PE-西藏考察队,5977,20170906,西藏,2935,山谷林边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/02293617.jpg,,,,,,,,,, +朗县翠雀花,Delphinium langxianense,FLPH Tibet Expedition,12-1102,,西藏自治区,,杜鹃灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050222.jpg,,,,,,,,,, +宽片翠雀花,Delphinium latilimbum,PE-西藏考察队,6429,20170912,西藏,3449-4414,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/02293619.jpg,,,,,,,,,, +李恒翠雀,Delphinium lihengianum,钟补求,5950,19530727,西藏自治区,,林间草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934969.jpg,,,,,,,,,, +长苞翠雀花,Delphinium longibracteolatum,"D.E.Boufford,B.Bartholomew et al.",41846,20090804,西藏自治区,4880,On slope at base of shrubs of Caragana,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021690.jpg,,,,,,,,,, +隆子翠雀花,Delphinium longziense,PE-西藏考察队,5921,20170905,西藏,3020-3460,林边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/02293609.jpg,,,,,,,,,, +,Delphinium nangziense,那木哉,s.n.,,,,山脚,,有花有果,https://image.cvh.ac.cn/files/l/PE/00477626.jpg,,,,,,,,,, +迭裂翠雀花,Delphinium nordhagenii,青藏队,8659,19760816,西藏自治区,5500,高山流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00500172.jpg,,,,,,,,,, +迭裂翠雀花,Delphinium nordhagenii,"李渤生,郑度,张百平",11146,19870820,新疆维吾尔自治区,5350,高山 山坡时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01344740.jpg,,,,,,,,,, +,Delphinium nordhagenii,,ZhangCQ-0040,,西藏,4152,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1232612.jpg,,,,,,,,,, +,Delphinium nordhagenii var. acutidentatum,,,,,,,,,,,,,,,,,,, +,Delphinium nortonii,,,,,,,,,,,,,,,,,,, +拟云南翠雀花,Delphinium pseudoyunnanense,西藏生物所植物组,81,19880718,西藏自治区,5000,高寒草地,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001653.jpg,,,,,,,,,, +三果大通翠雀花,Delphinium pylzowii var. trigynum,杨竞生,91-685,1991-07-,西藏省,4160,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087501.jpg,,,,,,,,,, +三果大通翠雀花,Delphinium pylzowii var. trigynum,崔友文,5887,19511019,四川,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298268.jpg,,,,,,,,,, +三果大通翠雀花,Delphinium pylzowii var. trigynum,陈世龙,高庆波,张发起等,ChenSL0690,20090819,青海,3930,高山草甸,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232630.jpg,,,,,,,,,, +,Delphinium tabatae,"李渤生,李辉,阳艺",13676,19900911,西藏自治区,3100~3300,Quercus 林下湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467825.jpg,,,,,,,,,, +灰花翠雀花,Delphinium tephranthum,康藏植物考察队,10-1528,20100808,西藏自治区,4800,灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01874425.jpg,,,,,,,,,, +锐裂翠雀花,Delphinium thibeticum var. laceratilobum,D.E.Boufford et al.,31571,20040802,西藏自治区,3485~3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602543.jpg,,,,,,,,,, +锐裂翠雀花,Delphinium thibeticum var. laceratilobum,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0862,20080724,西藏,3710,高山草甸,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232645.jpg,,,,,,,,,, +锐裂翠雀花,Delphinium thibeticum var. laceratilobum,,567,29070,四川,4500,草坡,荒野,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM704603285.jpg,,,,,,,,,, +宽苞阴地翠雀花,Delphinium umbrosum var. drepanocentrum,CMTTE,CMTTE966,20120809,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0106219.jpg,,,,,,,,,, +浅裂翠雀花,Delphinium vestitum,"陈又生,张树仁,于胜祥等",727,20111118,西藏自治区,3285,山谷草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966656.jpg,,,,,,,,,, +绿房翠雀花,Delphinium viridiovarium,PE-西藏考察队,6634,20170914,西藏,3934,,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/02293616.jpg,,,,,,,,,, +,Delphinium viscosum,FLPH Tibet Expedition,12-0987,20120904,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966658.jpg,,,,,,,,,, +,Delphinium viscosum var. chrysotrichum,FLPH Tibet Expedition,12-0987,20120904,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966657.jpg,,,,,,,,,, +黄花翠雀花,Delphinium xanthanthum,PE-西藏考察队,5813,20170903,西藏,3401,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/02293611.jpg,,,,,,,,,, +扎囊翠雀花,Delphinium zhanangense,PE-西藏考察队,5088,20170825,西藏,3788,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/02293615.jpg,,,,,,,,,, +左贡翠雀花,Delphinium zuogongense,"D.E.Boufford,B.Bartholomew et al.",40721,20090718,西藏自治区,4100,Abies forest and beside road,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021691.jpg,,,,,,,,,, +全缘火麻树,Dendrocnide sinuata,刘心沂,28363,19361211,海南省,,野生、河旁、疏林中、沙地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00514681.jpg,,,,,,,,,, +全缘火麻树,Dendrocnide sinuata,"张挺, 蔡杰, 方伟",12CS3775,20120221,广西,445,沟谷山坡,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486025.jpg,,,,,,,,,, +全缘火麻树,Dendrocnide sinuata,L.Q.Li N.T.Hiep Z.Y.Zhang et al,96,20041021,,200,in limestone forest,,无花无果,https://image.cvh.ac.cn/files/l/PE/01847202.jpg,,,,,,,,,, +,Dendrolobium triangulare,H.Ohashi et al.,6011,,海南省,200~50,along road,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629757.jpg,,,,,,,,,, +,Dendrolobium triangulare,陈家瑞,93019,19930918,广东省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00462065.jpg,,,,,,,,,, +假木豆,Dendrolobium triangulare,林荃,9598,1934/9/9,广东; Kwangtung,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00097513.jpg,,,,,,,,,, +,Derris acuminata,,,,,,,,,,,,,,,,,,, +,Derris cuneifolia,Ford.,365,,海南; HAINAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00040100.jpg,,,,,,,,,, +,Derris cuneifolia,C.E. Risdale,477,,Ponmudi,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00040132.jpg,,,,,,,,,, +,Derris cuneifolia,刘心祈,25920,19360328,海南省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00071307.jpg,,,,,,,,,, +锈毛鱼藤,Derris ferruginea,F.A. McClure,3115,1922/5/5,海南; HAINAN,,,藤本,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00040110.jpg,,,,,,,,,, +锈毛鱼藤,Derris ferruginea,王启无,80457,19361100,湖南省,850,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0040357.jpg,,,,,,,,,, +锈毛鱼藤,Derris ferruginea,李延辉,5041,19631101,云南省,,疏林中潮湿,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1266526.jpg,,,,,,,,,, +,Derris microptera,"李渤生,程树志",4037,19830412,西藏自治区,1100,山坡死造林中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074795.jpg,,,,,,,,,, +,Derris scabricaulis,,,19831105,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0017070.jpg,,,,,,,,,, +粗茎鱼藤,Derris scabricaulis,"郭永杰, 王雨华, 杨立新, 李姗",18CS16821,20180507,西藏,918,路边,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486965.jpg,,,,,,,,,, +粗茎鱼藤,Derris scabricaulis,中苏调查团,6311,19550517,云南省,1370,疏林中斜坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090253.jpg,,,,,,,,,, +,Derris scandens,"Kai Larsen, S.Larsen",30975,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0169636.jpg,,,,,,,,,, +,Derris scandens,M. Ramos G. Edano,,28-Jul,Catanduanes,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00040159.jpg,,,,,,,,,, +,Derris secunda,,,,,,,,,,,,,,,,,,, +,Derris taiwaniana,,,,,,,,,,,,,,,,,,, +毒鼠子,Dichapetalum gelonioides,黄志,34189,19330924,海南省,,密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01169042.jpg,,,,,,,,,, +毒鼠子,Dichapetalum gelonioides,刘长坤,CS2037,20080727,贵州,760,林中,,无花无果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0004036.jpg,,,,,,,,,, +毒鼠子,Dichapetalum gelonioides,简焯坡,904,19431100,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01169044.jpg,,,,,,,,,, +,Dichocarpum adiantifolium,罗仲春,1758,19970406,,650,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00034469.jpg,,,,,,,,,, +,Dichocarpum adiantifolium,黔南队,2030,19590419,贵州省,1300,沟底密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00397400.jpg,,,,,,,,,, +,Dichocarpum adiantifolium,H.T.Tsai,55293,19340520,云南省,1350,on rock cliff of water fall,,有花无果,https://image.cvh.ac.cn/files/l/PE/00397417.jpg,,,,,,,,,, +,Dicranostigma lactucoides,张晓纬,田新民,罗建,LiuJQ-09XZ-lzt-066,20090906,西藏,4609,高原草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1234447.jpg,,,,,,,,,, +苣叶秃疮花,Dicranostigma lactucoides,侯元同,郭成勇,侯元免,孙卫卫,高会芳,20170520129-1,20170520,山东省,117.24,岸边,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0030708.jpg,,,,,,,,,, +苣叶秃疮花,Dicranostigma lactucoides,向春雷,1262,20150913,四川省,2800,河谷,路边,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1264600.jpg,,,,,,,,,, +秃疮花,Dicranostigma leptopodum,黄河队,3178,19560711,甘肃省,,沟底潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050769.jpg,,,,,,,,,, +秃疮花,Dicranostigma leptopodum,Harry Smitn,5512,19720800,山西省,600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050764.jpg,,,,,,,,,, +,Dicranostigma leptopodum,齐威,LJQ-2008-GN-340,20080810,甘肃,2004,干旱山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1234457.jpg,,,,,,,,,, +第伦桃,Dillenia indica,黄燕娜,20062242,20080314,广东,,溪边间山坡上,大乔木,花果,https://image.cvh.ac.cn/files/l/SN/SN003033.jpg,,,,,,,,,, +五桠果,Dillenia indica,刘伟心,172,19530706,云南省,,河旁沙地无荫潮湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/01275371.jpg,,,,,,,,,, +,Dillenia indica,赵金超,田立新,CYNGH271,20120316,云南,580,沟谷雨林,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1247576.jpg,,,,,,,,,, +,Dillenia scabrella,,,,,,,,,,,,,,,,,,, +龙眼,Dimocarpus longan,方文培,2281,19280728,四川省,500,in thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/01390279.jpg,,,,,,,,,, +龙眼,Dimocarpus longan,F.C.How,70390,19330319,海南省 ,1300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0214737.jpg,,,,,,,,,, +龙眼,Dimocarpus longan,Y.Ling,5484,19460700,福建省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01390380.jpg,,,,,,,,,, +苍白秤钩风,Diploclisia glaucescens,J.F.Maxwell ,s.n,19880511,,1000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01071177.jpg,,,,,,,,,, +苍白秤钩风,Diploclisia glaucescens,"Tsui, T.M.",170,Mar-32,广东; KWANGTUNG,2470,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00052629.jpg,,,,,,,,,, +苍白秤钩风,Diploclisia glaucescens,杨祥学,830170,1983-04-,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0096084.jpg,,,,,,,,,, +贡山九子母,Dobinea vulgaris,"刘成, 亚吉东, 张良",18CS17178,20181112,西藏,1501,水东哥林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486735.jpg,,,,,,,,,, +贡山九子母,Dobinea vulgaris,白洪兵、海仙,5333241812041159LY,20181204,云南,1461,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010006.jpg,,,,,,,,,, +羊角天麻,Dobinea vulgaris,Tatemi Shimizu etc.,28673,19820821,,100,limestone hill with bamboo dominant,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0442113.jpg,,,,,,,,,, +栘[木|衣],Docynia indica,谭仲明,P587,20010805,四川省 ,2350,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00217186.jpg,,,,,,,,,, +栘依,Docynia indica,山东大学,56,19500719,山东省,0,,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0115678.jpg,,,,,,,,,, +薏苡,Docynia indica,黄雪彦、彭玉德、李莹、黎敏、蓝祖栽,451223121028007LY,20121028,广西壮族自治区,670,草丛,沟边,黄棕壤,,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0108724.jpg,,,,,,,,,, +人面子,Dracontomelon duperreanum,钟济新,809218,19520610,广西壮族自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0422542.jpg,,,,,,,,,, +人面子,Dracontomelon duperreanum,"刘成, 亚吉东, 张桥蓉, 蔡杰, 张挺, 蔡磊, 李昌洪, 王亚林",16CS14103,20161219,云南,303,沟边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1450251.jpg,,,,,,,,,, +人面子,Dracontomelon duperreanum,,251,19600904,广东省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0422530.jpg,,,,,,,,,, +辛果漆,Drimycarpus racemosus,肖春芬,C100716,20170622,云南,570,"C10,引种号:00,1975,0101",乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026109.jpg,,,,,,,,,, +辛果漆,Drimycarpus racemosus,李渤生等,4006,19830409,西藏自治区,850,半常绿雨林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804599.jpg,,,,,,,,,, +辛果漆,Drimycarpus racemosus,华南队,686,19890512,广西壮族自治区,650,山地、山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981681.jpg,,,,,,,,,, +单蕊麻,Droguetia iners subsp. urticoides,刘正宇,2015535,20010925,重庆市,1120,荒地,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0034916.jpg,,,,,,,,,, +单蕊麻,Droguetia iners subsp. urticoides,刘正宇,16122,19951016,贵州省,700,房屋边,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0034920.jpg,,,,,,,,,, +单蕊麻,Droguetia iners subsp. urticoides,吴增源,WuZY-10621,20100926,云南省,2162,公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062479.jpg,,,,,,,,,, +,Dryadanthe pentaphylla,,,,,,,,,,,,,,,,,,, +,Dryadanthe tetrandra,,,,,,,,,,,,,,,,,,, +,Drypetes assamica,David J.Middleton,2187,20040117,,0~400,On rocks beside stream,Tree,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0734195.jpg,,,,,,,,,, +,Drypetes eglandulosa,,,,,,,,,,,,,,,,,,, +,Drypetes venusta,,,,,,,,,,,,,,,,,,, +,Duabanga grandiflora,罗田发,李丛生,XPALSC288,20090510,云南,2100,丛林,乔木,,https://image.cvh.ac.cn/files/l/KUN/1246946.jpg,,,,,,,,,, +八宝树,Duabanga grandiflora,王崇书,312,19870328,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00994862.jpg,,,,,,,,,, +八宝树,Duabanga grandiflora,王孝、高锡朋、刘心祈,100382,19400404,云南省 ,660,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0220266.jpg,,,,,,,,,, +皱果蛇莓,Duchesnea chrysantha,北京队,44,19880526,湖南省,400~480,东南2KM常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802458.jpg,,,,,,,,,, +皱果蛇莓,Duchesnea chrysantha,,16999,19960512,贵州省,720,荒山野地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00799147.jpg,,,,,,,,,, +皱果蛇莓,Duchesnea chrysantha,瞿华、王基宇,121,20180407,福建,320,路边,草本,无花有果,https://image.cvh.ac.cn/files/l/AU/AU068077.jpg,,,,,,,,,, +蛇莓,Duchesnea indica,"马丹丹,寿海洋",ZJFC 326,20070704,浙江省,340,山坡草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01863506.jpg,,,,,,,,,, +,Duchesnea indica,"王雷,朱雅娟,黄振英",Beijing-huang-ssl-0007,20070731,北京,796,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1322196.jpg,,,,,,,,,, +蛇莓,Duchesnea indica,Shiu Ying Hu,6756,19690218,香港,,Cultivated in a medicinal garden,,有花无果,https://image.cvh.ac.cn/files/l/PE/00799030.jpg,,,,,,,,,, +小叶蛇莓,Duchesnea indica var. microphylla,应俊生 洪德元,650023,19650502,西藏自治区,2550,林旁,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934254.jpg,,,,,,,,,, +小叶蛇莓,Duchesnea indica var. microphylla,张林、李星月、张晓严,1月10日,20180608,西藏,3949,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023851.jpg,,,,,,,,,, +心叶山黑豆,Dumasia cordifolia,Y.Tsiang.,11846,19330400,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00304852.jpg,,,,,,,,,, +,Dumasia cordifolia,,,194010,昆明,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0017200.jpg,,,,,,,,,, +心叶山黑豆,Dumasia cordifolia,"蔡杰, 秦少发",15CS11370,20150924,云南,2438,常绿阔叶林林缘,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445008.jpg,,,,,,,,,, +小鸡藤,Dumasia forrestii,青藏队,14098,19830915,四川省,2500~2700,河谷云南松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00463641.jpg,,,,,,,,,, +小鸡藤,Dumasia forrestii,谭策铭,94968,19940910,江西省,1100,林缘草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841456.jpg,,,,,,,,,, +小鸡藤,Dumasia forrestii,王作宾,16589,19520930,陕西省,500,,蔓生草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0061779.jpg,,,,,,,,,, +硬毛山黑豆,Dumasia hirsuta,李雄,17052812,20170528,湖南,450,常绿落叶阔叶混交林林下,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI069040.jpg,,,,,,,,,, +硬毛山黑豆,Dumasia hirsuta,Wilson,3783,,湖北; HUPEH,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00040638.jpg,,,,,,,,,, +硬毛山黑豆,Dumasia hirsuta,,,19790616,四川,,林边,藤本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM707202852.jpg,,,,,,,,,, +山黑豆属,Dumasia villosa,倪志诚 汪永泽 次多 次旦,527,19800708,西藏,1500,河谷杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0003558.jpg,,,,,,,,,, +毛野扁豆,Dumasia villosa,赵鹏,93005,19930828,安徽省,800,,藤本,,https://image.cvh.ac.cn/files/l/BNU/006287.jpg,,,,,,,,,, +柔毛山黑豆,Dumasia villosa,邱炳云,55488,19571115,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00499437.jpg,,,,,,,,,, +,Dumasia yunnanensis var. arunachalensis,,,,,,,,,,,,,,,,,,, +大菜豆,Dysolobium grande,王洪,7478,20041125,云南省,650,山地草灌丛中,藤本,,https://image.cvh.ac.cn/files/l/HITBC/0012816.jpg,,,,,,,,,, +大菜豆,Dysolobium grande,李剑武,4282,20141022,云南,600,公路边,藤本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028865.jpg,,,,,,,,,, +,Dysolobium lucens,,,,,,,,,,,,,,,,,,, +云南八角莲,Dysosma aurantiocaulis,T. T. Yu,15977,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01035666.jpg,,,,,,,,,, +六角莲,Dysosma pleiantha,陈少卿,11731,1957/6/7,广西省,580~680,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0092874.jpg,,,,,,,,,, +六角莲,Dysosma pleiantha,何如保,23,1981.5.1,河南省,800,,,无花无果,https://image.cvh.ac.cn/files/l/HENU/1003197.jpg,,,,,,,,,, +六角莲,Dysosma pleiantha,K.M. Liou,8602,1938/5/27,湖北,1000,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0056210.jpg,,,,,,,,,, +八角莲,Dysosma versipellis,钟补求,6875,19520724,西藏自治区,,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01035767.jpg,,,,,,,,,, +八角莲,Dysosma versipellis,应俊生等,680,1991/8/14,陕西省 ,1900,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0478536.jpg,,,,,,,,,, +八角莲,Dysosma versipellis,邓良,683,1955/12/21,广西省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0092907.jpg,,,,,,,,,, +三棱瓜,Edgaria darjeelingensis,傅国勋,582,19600821,西藏自治区,3100,林边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01178541.jpg,,,,,,,,,, +三棱瓜,Edgaria darjeelingensis,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01178542.jpg,,,,,,,,,, +木里胡颓子,Elaeagnus bockii var. muliensis,张挺,郭永杰,吴之坤,姜虹,李贵能,16CS12688,20160823,四川,2024,雅砻江边山坡,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1439455.jpg,,,,,,,,,, +木里胡颓子,Elaeagnus bockii var. muliensis,武素功/S.K.Wu,3510,19591000,四川省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01014863.jpg,,,,,,,,,, +木里胡颓子,Elaeagnus bockii var. muliensis,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01014860.jpg,,,,,,,,,, +,Elaeagnus caudata,,,,,,,,,,,,,,,,,,, +密花胡颓子,Elaeagnus conferta,荔浦县普查队,450331181107035LY,20181107,广西,590,针阔混交林,路旁,黄棕壤,一般野生,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00415938.jpg,,,,,,,,,, +密花胡颓子,Elaeagnus conferta,王启无,77312,1936/7/23,云南,1900,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0043898.jpg,,,,,,,,,, +密花胡颓子,Elaeagnus conferta,"郭永杰, 王雨华, 杨立新, 李姗",18CS16952,20180513,西藏,1750,村旁公路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484269.jpg,,,,,,,,,, +宜昌胡颓子,Elaeagnus henryi,肖简文,5527,20030222,贵州省,700,河谷密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01762019.jpg,,,,,,,,,, +宜昌胡颓子,Elaeagnus henryi,"Tsang,W.T.",20305,19320522,广东省,,wet place,,无花无果,https://image.cvh.ac.cn/files/l/PE/01015600.jpg,,,,,,,,,, +宜昌胡颓子,Elaeagnus henryi,赵万义,张信坚,丁巧玲,LXP-13-16401,20160512,江西省吉安市,565,山谷、壤土、疏林,陆生、灌木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00183717.jpg,,,,,,,,,, +,Elaeagnus infundibularis,"S Noshiro,S Akiyama & N Acharya",9240771,19920613,,1680~2500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01574976.jpg,,,,,,,,,, +,Elaeagnus kanaii,,,,,,,,,,,,,,,,,,, +披针叶胡颓子,Elaeagnus lanceolata,"张挺, 吴之坤, 常宇航, 马楠",18CS16697,20180410,云南,2778,箐沟林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1452341.jpg,,,,,,,,,, +披针叶胡颓子,Elaeagnus lanceolata,王启无,1306,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0453072.jpg,,,,,,,,,, +披针叶胡颓子,Elaeagnus lanceolata,巴山采集队,2502,20080726,重庆市,2100,山谷杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02113132.jpg,,,,,,,,,, +,Elaeagnus pyriformis,,,,,,,,,,,,,,,,,,, +攀缘胡颓子,Elaeagnus sarmentosa,H.T.Tsai,51620,19330622,云南省 ,1800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0387183.jpg,,,,,,,,,, +攀援胡颓子,Elaeagnus sarmentosa,罗城县普查队,451225131108045LY,20131108,广西,905,阔叶林,林下,红壤,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0114581.jpg,,,,,,,,,, +攀缘胡颓子,Elaeagnus sarmentosa,毛品一,3396,1954/3/12,云南,1160,,灌木、攀援,无花无果,https://image.cvh.ac.cn/files/l/WUK/0202963.jpg,,,,,,,,,, +牛奶子,Elaeagnus umbellata,詹选怀、彭焱松等,LXP3177,20150519,湖南,1626,山顶、疏林,灌木,无花无果,https://image.cvh.ac.cn/files/l/LBG/LBG00137256.jpg,,,,,,,,,, +牛奶子,Elaeagnus umbellata,张盍曾,252,19730813,青海省,2400,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00013040.jpg,,,,,,,,,, +牛奶子,Elaeagnus umbellata,"蔡杰, 郭云刚, 张凤琼, 李梅娟, 李昌洪",14CS9783,20141112,云南,,路边林缘崖壁,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395428.jpg,,,,,,,,,, +,Elaeocarpus acuminatus,,,,,,,,,,,,,,,,,,, +,Elaeocarpus aristatus,,,,,,,,,,,,,,,,,,, +滇藏杜英,Elaeocarpus braceanus,李阴昆,401335,1958/9/1,湖南省,,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0182633.jpg,,,,,,,,,, +滇藏杜英,Elaeocarpus braceanus,"张挺, 蔡杰, 刘成, 张桥蓉",13CS5947,20130113,云南,,杂木林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1395096.jpg,,,,,,,,,, +滇藏杜英,Elaeocarpus braceanus,李延辉,5829,19641103,云南省,1850,山坡箐沟疏林润湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01610608.jpg,,,,,,,,,, +,Elaeocarpus bracteatus,,,,,,,,,,,,,,,,,,, +显脉杜英,Elaeocarpus dubius,郭惠珠,陈锦祥,3360,20130415,福建,43~201.3,栽植于疏林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0003681.jpg,,,,,,,,,, +显脉杜英,Elaeocarpus dubius,东兴市普查队,450681190630034LY,20190630,广西,40,针阔混交林,路旁,黄棕壤,少野生,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00418036.jpg,,,,,,,,,, +显脉杜英,Elaeocarpus dubius,K.S.Chow etc.,78418,19781212,海南省,900,under woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/01351749.jpg,,,,,,,,,, +,Elaeocarpus floribundus,H.F.Sun,565,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01351756.jpg,,,,,,,,,, +,Elaeocarpus glandulosus,C.Rajamani,1866,19760405,,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01351759.jpg,,,,,,,,,, +日本杜英,Elaeocarpus japonicus,粤73 ,972,19730617,广东省,800,山谷、平地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02225848.jpg,,,,,,,,,, +薯豆,Elaeocarpus japonicus,航调队专业组,1105,19590708,湖北,6600,,,,https://image.cvh.ac.cn/files/l/BJM/152065.jpg,,,,,,,,,, +日本杜英,Elaeocarpus japonicus,壶瓶山考察队,87333,19870601,湖南省,550,河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02225806.jpg,,,,,,,,,, +多沟杜英,Elaeocarpus lacunosus,"刘恩德, 邹娇, 董洪进, 肖波, 周天, 赵晨光, 陈志坚",LED9453,20191220,云南,1663,石灰岩山灌丛,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1495224.jpg,,,,,,,,,, +多沟杜英,Elaeocarpus lacunosus,T.T.Yu,19216,19370707,云南省 ,1850,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0253869.jpg,,,,,,,,,, +多沟杜英,Elaeocarpus lacunosus,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0253870.jpg,,,,,,,,,, +,Elaeocarpus lanceifolius,"Ducloux, F.",2103,1901/7/10,,,,,,https://image.cvh.ac.cn/files/l/P/P02440573.jpg,,,,,,,,,, +披针叶杜英,Elaeocarpus lanceifolius,张志翔,31958,19910818,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00010805.jpg,,,,,,,,,, +,Elaeocarpus lanceifolius,"余新林,赵玮",BSGLGStc214,20130722,云南省,2286,中山湿性常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1322121.jpg,,,,,,,,,, +长柄杜英,Elaeocarpus petiolatus,周柳,LXP03-08454,20171007,湖南,,山谷、壤土、路旁、溪边,陆生,乔木,直立,无花有果,https://image.cvh.ac.cn/files/l/HNNU/HNNU00061671.jpg,,,,,,,,,, +长柄杜英,Elaeocarpus petiolatus,梁向日,63165,19330926,海南省,,疏林半阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01351837.jpg,,,,,,,,,, +长柄杜英,Elaeocarpus petiolatus,王启无,78952,19361000,云南省,800,mixed woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/01351610.jpg,,,,,,,,,, +,Elaeocarpus prunifolius,J.F.Maxwell ,87-790,19870812,,1150,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01351842.jpg,,,,,,,,,, +,Elaeocarpus prunifolius,中苏队,9166,19570402,云南省,,山坡(缓)密林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090159.jpg,,,,,,,,,, +,Elaeocarpus rugosus,刘心祈,26702,19360510,海南省,0,Thickets,乔木 ,无花无果,https://image.cvh.ac.cn/files/l/KUN/0470850.jpg,,,,,,,,,, +毛果杜英,Elaeocarpus rugosus,柳北区普查队,450205200812050LY,20200812,广西,102,阔叶林,路旁,黄棕壤;少;栽培,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00427239.jpg,,,,,,,,,, +毛果杜英,Elaeocarpus rugosus,易桂花,11284,20110605,广东省,70,公园栽培,,无花有果,https://image.cvh.ac.cn/files/l/JJF/JJF00016486.jpg,,,,,,,,,, +大果杜英,Elaeocarpus sikkimensis,中苏队,5656,19550515,云南省,1860,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0254364.jpg,,,,,,,,,, +大果杜英,Elaeocarpus sikkimensis,孙航,邓涛等,sunhang16164,20130429,,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1256322.jpg,,,,,,,,,, +大果杜英,Elaeocarpus sikkimensis,"刘成, 何华杰, 何疆海, 卢元, 蒋影, 和延龙, 张贵生, 杨运鹏, 王春华, 罗成瑜, 杨红强",19PXB108,20191016,云南,2026,季风常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484048.jpg,,,,,,,,,, +圆果杜英,Elaeocarpus sphaericus,李学根,201735,19580611,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0252982.jpg,,,,,,,,,, +圆果杜英,Elaeocarpus sphaericus,李泽贤 邢福武,3848,19880426,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0252980.jpg,,,,,,,,,, +圆果杜英,Elaeocarpus sphaericus,吴任高(干专二班),w-8507,19860118,广西,80,山坡,乔木,有花无果,https://image.cvh.ac.cn/files/l/GAC/GAC0003789.jpg,,,,,,,,,, +,Elaeocarpus stapfianus,,5.806,193605,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00051462.jpg,,,,,,,,,, +山杜英,Elaeocarpus sylvestris,周沛椿,10893,19591127,广东省,1350,山地、山坑、疏林普遍散生,,无花有果,https://image.cvh.ac.cn/files/l/PE/02225780.jpg,,,,,,,,,, +山杜英,Elaeocarpus sylvestris,广福林区采集队,852,19550709,广西壮族自治区,500,河旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02225769.jpg,,,,,,,,,, +山杜英,Elaeocarpus sylvestris,曾宪锋,ZXF35543,20170810,广东,810,山地、密林,乔木,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0030824.jpg,,,,,,,,,, +粗壮杜英,Elaeocarpus tectorius,陈焕镛,3309,19280000,香港,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0254672.jpg,,,,,,,,,, +粗壮杜英,Elaeocarpus tectorius,,12135,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0254674.jpg,,,,,,,,,, +美脉杜英,Elaeocarpus varunua,热带所,91,,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0252720.jpg,,,,,,,,,, +美脉杜英,Elaeocarpus varunua,梁向日,B.0719,19620713,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0252717.jpg,,,,,,,,,, +美脉杜英,Elaeocarpus varunua,秦仁昌,8197,19281025,广西壮族自治区,600,in wood,,有花无果,https://image.cvh.ac.cn/files/l/PE/01366158.jpg,,,,,,,,,, +渐尖楼梯草,Elatostema acuminatum,覃海宁等,105,19981018,,,山地 山谷 疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01858920.jpg,,,,,,,,,, +渐尖楼梯草,Elatostema acuminatum,"韦毅刚,温放",1014,20100316,广东省,,土山林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868626.jpg,,,,,,,,,, +渐尖楼梯草,Elatostema acuminatum,中苏队,3021,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0358027.jpg,,,,,,,,,, +翅苞楼梯草,Elatostema aliferum,"李渤生,程树志",2287,19821220,西藏自治区,2100,常绿阔叶林中沟边湿地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00160266.jpg,,,,,,,,,, +翅苞楼梯草,Elatostema aliferum,路端正,,19990800,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00041813.jpg,,,,,,,,,, +,Elatostema aliferum,T. T. Yu,16144,1938/6/5,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00035038.jpg,,,,,,,,,, +,Elatostema arcuans,,,,,,,,,,,,,,,,,,, +毛茎耳状楼梯草,Elatostema auriculatum var. strigosum,"李渤生,程树志",2434,19830102,西藏自治区,1300~850,常绿阔叶林下水边湿地优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/00160297.jpg,,,,,,,,,, +毛茎耳状楼梯草,Elatostema auriculatum var. strigosum,高连明,GLM-07-505,20070503,云南省,1790,in mixed forest in valley,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261917.jpg,,,,,,,,,, +华南楼梯草,Elatostema balansae,朱鑫鑫;王君,CZ0046,20180403,四川,853,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0153626.jpg,,,,,,,,,, +华南楼梯草,Elatostema balansae,刘正宇,182533,20080427,重庆市,320,江边阴湿杂木林中岩壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862670.jpg,,,,,,,,,, +华南楼梯草,Elatostema balansae,朱水法,20270,19590908,四川省,1800,林中阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00160301.jpg,,,,,,,,,, +,Elatostema bomiense,李渤生等,6767,19830819,西藏自治区,2500,林下时见,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00160647.jpg,,,,,,,,,, +稀齿楼梯草,Elatostema cuneatum,Miyoshi Furuse,53652,19851024,,70,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00160397.jpg,,,,,,,,,, +稀齿楼梯草,Elatostema cuneatum,吴增源,WuZY-09170,20090730,云南省,552,和小叶冷水花一起生长,,无花无果,https://image.cvh.ac.cn/files/l/PE/02032517.jpg,,,,,,,,,, +稀齿楼梯草,Elatostema cuneatum,"程树志,李渤生",249,19820818,西藏自治区,2200~2600,常绿阔叶林树根草地下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00160387.jpg,,,,,,,,,, +细梗楔苞楼梯草,Elatostema cuneiforme var. gracilipes,李勃生 程树志,5113,19830617,西藏自治区,1850,常绿阔叶林下 优势草本,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934353.jpg,,,,,,,,,, +骤尖楼梯草,Elatostema cuspidatum,易思荣等,173,20050509,重庆市,930,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800473.jpg,,,,,,,,,, +,Elatostema cuspidatum,贺贤育,4222,19350530,四川,,up on rock in moist shady place,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00296896.jpg,,,,,,,,,, +骤尖楼梯草,Elatostema cuspidatum,Wuyi Exp ,1339,19790907,福建省,850,山沟阴湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00160480.jpg,,,,,,,,,, +,Elatostema decipiens,,,,,,,,,,,,,,,,,,, +定结楼梯草,Elatostema dingjieense,PE-西藏队,3219,20130713,西藏自治区,2426,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050259.jpg,,,,,,,,,, +盘托楼梯草,Elatostema dissectum,黄志,31747,19320321,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0358120.jpg,,,,,,,,,, +盘托楼梯草,Elatostema dissectum,"李渤生,程树志",3861,19830328,西藏自治区,750,半常绿雨林,及竹丛下优劣草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/00160629.jpg,,,,,,,,,, +盘托楼梯草,Elatostema dissectum,植物DNA条形码 滇东南考察队,GBOWS1027,20100117,云南省,865,沟谷溪边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01865587.jpg,,,,,,,,,, +梨序楼梯草,Elatostema ficoides,,1617,,台湾省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0358143.jpg,,,,,,,,,, +梨序楼梯草,Elatostema ficoides,"吴增源,刘铭璐",WuZY-2012131,20120729,重庆市,657,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032550.jpg,,,,,,,,,, +梨序楼梯草,Elatostema ficoides,Gaoligong Shan Biodiversity Survey,30163,20060516,云南省,2080~2150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847782.jpg,,,,,,,,,, +叉苞楼梯草,Elatostema furcatibracteum,"李渤生,程树志",2287,19821220,西藏自治区,2100,常绿阔叶林中沟边湿地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00160265.jpg,,,,,,,,,, +粗齿楼梯草,Elatostema grandidentatum,刘正宇、张军等,S-1395,20170421,重庆,,溪边崖壁,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051716.jpg,,,,,,,,,, +粗齿楼梯草,Elatostema grandidentatum,宋健,522422160825003LY,20160825,贵州省,1440.6,中生、阳性、酸性土、中温、野生植物、灌丛,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0034110.jpg,,,,,,,,,, +粗齿楼梯草,Elatostema grandidentatum,周仕顺,9643,20110607,云南,,江边杂木林中,草本,无花有果,https://image.cvh.ac.cn/files/l/BJM/0220095.jpg,,,,,,,,,, +疏晶楼梯草,Elatostema hookerianum,方晔,5333241812051248LY,20181205,云南,1245,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009687.jpg,,,,,,,,,, +疏晶楼梯草,Elatostema hookerianum,"刘杰,罗亚皇,谭少林",GLGE12030,20120628,云南省,2179,常绿阔叶林下 水塘边,,无花无果,https://image.cvh.ac.cn/files/l/PE/02032535.jpg,,,,,,,,,, +疏晶楼梯草,Elatostema hookerianum,容县普查队,450921180311003LY,20180311,广西,217,针阔叶混交林,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0204680.jpg,,,,,,,,,, +刀叶楼梯草,Elatostema imbricans,陈伟烈,10702,19800628,西藏自治区,2200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00160720.jpg,,,,,,,,,, +朴叶楼梯草,Elatostema integrifolium,韦毅刚等,3,20071217,广西壮族自治区,,引种广西环江木伦保护区,,有花无果,https://image.cvh.ac.cn/files/l/PE/01659666.jpg,,,,,,,,,, +全缘楼梯草,Elatostema integrifolium,杜文凡,B0009,20170514,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0007122.jpg,,,,,,,,,, +全缘楼梯草,Elatostema integrifolium,G.Forrest,7875,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0358164.jpg,,,,,,,,,, +,Elatostema laevissimum,中越考察队,1046,19650105,山西,560~620,次生林下,草本肉质,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00296947.jpg,,,,,,,,,, +光叶楼梯草,Elatostema laevissimum,中越考察队,37,19641207,,1550~1600,林下阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00160998.jpg,,,,,,,,,, +光叶楼梯草,Elatostema laevissimum,税玉民等,10711,19990909,云南省,1720,on tree trunk,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862353.jpg,,,,,,,,,, +,Elatostema latistipulum,张书东,81308,20080923,西藏自治区,2700,山谷林下,水湿处,草本,无花无果,https://image.cvh.ac.cn/files/l/PE/01863958.jpg,,,,,,,,,, +狭叶楼梯草,Elatostema lineolatum,刀志灵;杨静;郭世伟;张品;杨佳俊;陶丽丹;杨丰懋;陈娅玲,KIBDZL187B09,20190709,云南,1715,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1561427.jpg,,,,,,,,,, +,Elatostema lineolatum,叶国栋,2296,19811207,福建省,700,密林下水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00161013.jpg,,,,,,,,,, +狭叶楼梯草,Elatostema lineolatum,彭焱松、桂忠明、梁同军等,960,20121031,江西省,245,竹林下灌丛中,草本,,https://image.cvh.ac.cn/files/l/ZM/ZMNH0012169.jpg,,,,,,,,,, +,Elatostema lineolatum var. integrifolium,"高连明,严丽君,吴之坤",GLM-123661,20120703,西藏自治区,1750,常绿阔叶林,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032475.jpg,,,,,,,,,, +,Elatostema longicaudatum,,,,,,,,,,,,,,,,,,, +林祁,Elatostema macintyrei,,未知,,,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00296982.jpg,,,,,,,,,, +,Elatostema macintyrei,王启无 C.W.Wang,80741,19361100,云南,,"ravine,dense woods",,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00298309.jpg,,,,,,,,,, +多序楼梯草,Elatostema macintyrei,"李渤生,程树志",4948,19830602,西藏自治区,950,Ficus林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00161121.jpg,,,,,,,,,, +异叶楼梯草,Elatostema monandrum,"刘杰,刘基男,陈凯",GLGE141504,20141006,云南省,2148,附生于树杆上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032468.jpg,,,,,,,,,, +异叶楼梯草,Elatostema monandrum,安顺队,1248,19590823,贵州省,2100,山脚、岩石上 沟氏,,有花无果,https://image.cvh.ac.cn/files/l/PE/00161133.jpg,,,,,,,,,, +异叶楼梯草,Elatostema monandrum,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201062,20200720,西藏,2279,路边坡上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506682.jpg,,,,,,,,,, +托叶楼梯草,Elatostema nasutum,"Jin XH,Wang LS,Wang Q.Wei R,Fu ZX,Feng YL",ST1576,20130801,云南省,2750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108190.jpg,,,,,,,,,, +托叶楼梯草,Elatostema nasutum,蔡希陶,56534,,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0162696.jpg,,,,,,,,,, +骤尖楼梯草,Elatostema nasutum,赵万义,孙键,杨文晟,LXP-13-10265,20130731,江西省宜春市,,,,,https://image.cvh.ac.cn/files/l/SYS/SYS00181173.jpg,,,,,,,,,, +,Elatostema nasutum var. ecorniculatum,,,,,,,,,,,,,,,,,,, +短毛楼梯草,Elatostema nasutum var. puberulum,由慧中,杨爱月,48,19870331,四川省,1000,林下,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0168971.jpg,,,,,,,,,, +短毛楼梯草,Elatostema nasutum var. puberulum,罗毅波,3268,19850903,湖南省,400,山沟、溪旁、林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00161425.jpg,,,,,,,,,, +短毛楼梯草,Elatostema nasutum var. puberulum,李雄、谢勇,19082104,20190821,湖南,600,湿润处,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI070488.jpg,,,,,,,,,, +钝叶楼梯草,Elatostema obtusum,白水江采集队,2483,20060821,甘肃省,1756,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01849553.jpg,,,,,,,,,, +钝叶楼梯草,Elatostema obtusum,平乐县普查队,450330180517032LY,20180517,广西,461,阔叶林,沟边,黄棕壤,少野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00412767.jpg,,,,,,,,,, +钝叶楼梯草,Elatostema obtusum,青藏队植被组,4387,19750628,,3050,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00043547.jpg,,,,,,,,,, +微晶楼梯草,Elatostema papillosum,South Tibet Expedition Team(STET),STET2430,20100808,西藏自治区,750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108166.jpg,,,,,,,,,, +骤尖小叶楼梯草,Elatostema parvum var. brevicuspis,生态室高原组,11033,19800710,西藏自治区,920,林缘岩边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00934395.jpg,,,,,,,,,, +宽叶楼梯草,Elatostema platyphyllum,生态室高原组,11241,19800723,西藏自治区,700,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00161731.jpg,,,,,,,,,, +宽叶楼梯草,Elatostema platyphyllum,韦毅刚等,VMN-CN33,20120604,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900649.jpg,,,,,,,,,, +宽叶楼梯草,Elatostema platyphyllum,石国良,13364,1978/4/14,广东省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0426346.jpg,,,,,,,,,, +,Elatostema procridioides,,,,,,,,,,,,,,,,,,, +石生楼梯草,Elatostema rupestre,刘正宇,182503-01,20080427,重庆市,300,江边阴湿杂木林中岩壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0035679.jpg,,,,,,,,,, +石生楼梯草,Elatostema rupestre,武陵队,1368,19880920,湖南省,650,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0358464.jpg,,,,,,,,,, +石生楼梯草,Elatostema rupestre,四川队关克俭.汪劲武.李朝銮,454,19640510,四川,2150,,草本,,https://image.cvh.ac.cn/files/l/PEY/PEY0035643.jpg,,,,,,,,,, +,Elatostema sessile,W.P.Fang,6604,19300718,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00074467.jpg,,,,,,,,,, +六月合,Elatostema sessile,C.W.Wang,88328,19400411,云南省 ,1750,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0358480.jpg,,,,,,,,,, +六月合,Elatostema sessile,吴金清,739,19880510,湖北省,1650,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0144276.jpg,,,,,,,,,, +,Elatostema sikkimense,,,,,,,,,,,,,,,,,,, +细尾楼梯草,Elatostema tenuicaudatum,郭世伟;陶丽丹;张品,KIBDZL218B01,20200511,云南,2222,,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1561383.jpg,,,,,,,,,, +细尾楼梯草,Elatostema tenuicaudatum,吴增源,WuZY-10157,20110730,云南省,2013,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02328009.jpg,,,,,,,,,, +细尾楼梯草,Elatostema tenuicaudatum,凌云普查队,4.51E+14,20130501,广西,615,阔叶林,林下,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0117058.jpg,,,,,,,,,, +黄杞,Engelhardia roxburghiana,王洪,7079,20040506,云南省,850,次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269873.jpg,,,,,,,,,, +黄杞,Engelhardia roxburghiana,张成、李思弟,ZY20180605_6216,20180605,贵州,648,林下,半常绿乔木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU39193.jpg,,,,,,,,,, +黄杞,Engelhardia roxburghiana,何国生,9576,19991001,福建省,400,阔叶林 丘陵,,无花有果,https://image.cvh.ac.cn/files/l/PE/01579238.jpg,,,,,,,,,, +云南黄杞,Engelhardia spicata,"Arief,卫然,于慧等",150,20141027,,1634,rain forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066837.jpg,,,,,,,,,, +云南黄杞,Engelhardia spicata,孙祥麟,167,19390511,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/TIE/00003375.jpg,,,,,,,,,, +云南黄杞,Engelhardia spicata,"李渤生,程树志",1521,19821029,西藏自治区,1400~1500,常绿阔叶林带中常见树种,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491031.jpg,,,,,,,,,, +爪哇黄杞,Engelhardia spicata var. aceriflora,秦祥堃,,19951004,云南省,1000,,,有花有果,https://image.cvh.ac.cn/files/l/SHM/SHM0016019.jpg,,,,,,,,,, +榼藤,Entada phaseoloides,Lau,S.K,345,19320801,海南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00091109.jpg,,,,,,,,,, +,Entada phaseoloides,杨秀森,龙文兴,LWX10040,20130723,海南,395,热带低地雨林,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1320401.jpg,,,,,,,,,, +榼藤,Entada phaseoloides,Fung Hom,A-568,1931/1/1,广东; KWANGTUNG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00044490.jpg,,,,,,,,,, +云南榼藤子,Entada pursaetha subsp. sinohimalensis,中苏队,7646,19570409,云南省,1050,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0161083.jpg,,,,,,,,,, +云南榼藤子,Entada pursaetha subsp. sinohimalensis,王啓無,76364,19360000,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2008332.jpg,,,,,,,,,, +云南榼藤子,Entada pursaetha subsp. sinohimalensis,王启无,76653,19360500,云南省 ,1800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0161080.jpg,,,,,,,,,, +,Entada rheedei,W.Nanakorn,980,19950408,,600,常绿林,藤本,,https://image.cvh.ac.cn/files/l/HITBC/0010766.jpg,,,,,,,,,, +过江龙,Entada rheedei,张帆,16062204,20160622,湖南,,,,,https://image.cvh.ac.cn/files/l/CSFI/CSFI054249.jpg,,,,,,,,,, +,Entada rheedei,刘成,张挺,张书东,13CS6471,20130530,西藏,800,路边陡坡,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1320403.jpg,,,,,,,,,, +毛脉柳叶菜,Epilobium amurense,周海城,zhouHC1405,20150707,吉林,1666,针叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483337.jpg,,,,,,,,,, +毛脉柳叶菜,Epilobium amurense,巴山采集队,2711,20080728,重庆市,1527,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057270.jpg,,,,,,,,,, +毛脉柳叶菜,Epilobium amurense,,954,19630731,吉林省,1800,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01614243.jpg,,,,,,,,,, +腺茎柳叶菜,Epilobium brevifolium,傅坤俊,11483,1957/9/29,陕西,910,,小灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0097641.jpg,,,,,,,,,, +短叶柳叶菜,Epilobium brevifolium,贺贤育,26485,19570831,浙江省,1750,,灌木,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ039211.jpg,,,,,,,,,, +腺茎柳叶菜,Epilobium brevifolium,付竞秋,1081,1958/9/25,河南,1180,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0408724.jpg,,,,,,,,,, +腺茎柳叶菜,Epilobium brevifolium subsp. trichoneurum,王映明,5881,19880808,湖北省,1820,山脊,,有花有果,https://image.cvh.ac.cn/files/l/PE/01344336.jpg,,,,,,,,,, +腺茎柳叶菜,Epilobium brevifolium subsp. trichoneurum,刘慎谔,19757,19410000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0221004.jpg,,,,,,,,,, +腺茎柳叶菜,Epilobium brevifolium subsp. trichoneurum,"周,许,潘,程",583,19730823,安徽省,1780,山顶阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01115599.jpg,,,,,,,,,, +圆柱柳叶菜,Epilobium cylindricum,"陈伟烈,陈家瑞,郭柯,闰建平",7066,19840701,四川省,3400,坡麓灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060171.jpg,,,,,,,,,, +圆柱柳叶菜,Epilobium cylindricum,胡雷,85,19820700,河北省,1850~1750,"林下,阴湿石缝中",,无花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC039492.jpg,,,,,,,,,, +圆柱柳叶菜,Epilobium cylindricum,巴山采集队,2361,20080726,重庆市,2177,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057275.jpg,,,,,,,,,, +多枝柳叶菜,Epilobium fastigiatoramosum,周以良,傅沛云,2321,1950/9/5,吉林,250,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0187309.jpg,,,,,,,,,, +多枝柳叶菜,Epilobium fastigiatoramosum,刘波,LIU-B-2018196,20170808,远东地区,59.54,岛屿,湿草甸,土壤湿润但无积水,样地内有一小沟渠,估计为远处农田延伸的排水渠。,,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0020973.jpg,,,,,,,,,, +多枝柳叶菜,Epilobium fastigiatoramosum,康木生,810240,19830403,北京,1800,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00056590.jpg,,,,,,,,,, +鳞根柳叶菜,Epilobium gouldii,"李渤生,李辉",13179,19900828,西藏自治区,2100~2400,乔松林下湿地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01364851.jpg,,,,,,,,,, +鳞根柳叶菜,Epilobium gouldii,怒江考察队,991,19780712,云南省,2200,阔叶林边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0482618.jpg,,,,,,,,,, +鳞根柳叶菜,Epilobium gouldii,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201214,20200724,西藏,2256,河边荒地上,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1505733.jpg,,,,,,,,,, +柳叶菜,Epilobium hirsutum,Y.Yabe,s.n.,19100828,辽宁省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01140889.jpg,,,,,,,,,, +柳叶菜,Epilobium hirsutum,K.M.Liou,L.4752,1935/7/13,河南,820,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0010560.jpg,,,,,,,,,, +柳叶菜,Epilobium hirsutum,标本室,1984,19560705,天津市,,水沟中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01140951.jpg,,,,,,,,,, +细籽柳叶菜,Epilobium minutiflorum,T.H.Ting,s.n.,19270725,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01141550.jpg,,,,,,,,,, +细籽柳叶菜,Epilobium minutiflorum,C.W.Wang,60004,19330724,河北省,,marshy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01141561.jpg,,,,,,,,,, +细籽柳叶菜,Epilobium minutiflorum,张志英,15161,19590914,甘肃省,850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01141576.jpg,,,,,,,,,, +沼生柳叶菜,Epilobium palustre,,85,19280000,浙江省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/120224123.jpg,,,,,,,,,, +沼生柳叶菜,Epilobium palustre,"陈伟烈,陈家瑞,郭柯等",8854,19840808,四川省,3200,冷云杉林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048881.jpg,,,,,,,,,, +水湿柳叶菜,Epilobium palustre,张粤、苏道岩、付伟、魏志文,XM191,20140828,内蒙古自治区通辽市,205.3,草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0237519.jpg,,,,,,,,,, +短梗柳叶菜,Epilobium royleanum,"关,戴",1519,19610729,河南省,1830,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01152296.jpg,,,,,,,,,, +短梗柳叶菜,Epilobium royleanum,王作宾,16361,19520831,陕西省,1800,生草滩中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01152307.jpg,,,,,,,,,, +,Epilobium royleanum,许炳强,周伟,郑朝汉,XiaNH0283,20080906,青海,3581,林间路旁草从,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1247247.jpg,,,,,,,,,, +鳞片柳叶菜,Epilobium sikkimense,D.E.Boufford et al.,30127,20040817,西藏自治区,4500~4600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01925499.jpg,,,,,,,,,, +鳞片柳叶菜,Epilobium sikkimense,M.Mikage etc.,9682887,19960920,,3850,in sunny pasture,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261123.jpg,,,,,,,,,, +鳞片柳叶菜,Epilobium sikkimense,,247,19640704,青海省,3700,山麓灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803026.jpg,,,,,,,,,, +亚革质柳叶菜,Epilobium subcoriaceum,陈伟烈等,8314,19840722,四川省,2900,山坡下部草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804210.jpg,,,,,,,,,, +亚革质柳叶菜,Epilobium subcoriaceum,王作宾,16200,19520818,陕西省,1900,山顶,草滩中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0483334.jpg,,,,,,,,,, +亚革质柳叶菜,Epilobium subcoriaceum,王启无,67635,19350800,云南省,2800,ravine,,无花无果,https://image.cvh.ac.cn/files/l/PE/01152625.jpg,,,,,,,,,, +光籽柳叶菜,Epilobium tibetanum,,12,19750820,西藏,2900,灌木林下草丛中,,无花有果,https://image.cvh.ac.cn/files/l/SM/SM714400886.jpg,,,,,,,,,, +光籽柳叶菜,Epilobium tibetanum,"T.N.Ho,B.Bartholomew,M.Watson and M.Gilbert",2345,19960824,青海省,3600,very steep slopes part soil part massive rocks,,无花无果,https://image.cvh.ac.cn/files/l/PE/01152655.jpg,,,,,,,,,, +,Epilobium tibetanum,杨亲二,袁琼,YangQE1995,20080724,云南,3300,林间草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1247271.jpg,,,,,,,,,, +滇藏柳叶菜,Epilobium wallichianum,金佛山考察队,2166,19860807,重庆市,1350,水库沼泽地旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01152818.jpg,,,,,,,,,, +滇藏柳叶菜,Epilobium wallichianum,T.P.Wang,W.4893,1936/7/7,甘肃,2500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0066893.jpg,,,,,,,,,, +滇藏柳叶菜,Epilobium wallichianum,王作宾,17084,19530731,宁夏回族自治区,2500,生水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01152702.jpg,,,,,,,,,, +,Epilobium williamsii,陈文允,于文涛,黄永江,CYH086,20100910,四川,3476,草坡,溪流边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1247282.jpg,,,,,,,,,, +埋鳞柳叶菜,Epilobium williamsii,T.T.Yu,9704,19370822,云南省,3200,road side,,无花无果,https://image.cvh.ac.cn/files/l/PE/01152849.jpg,,,,,,,,,, +埋鳞柳叶菜,Epilobium williamsii,张林、李星月、张晓严,6-134,20180611,西藏,3352,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023664.jpg,,,,,,,,,, +,Eriobotrya elliptica,,2663,19740918,西藏自治区,1800,常绿阔叶林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00799364.jpg,,,,,,,,,, +绵三七,Eriosema himalaicum,赵思齐,,19520000,海南,~,,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0091691.jpg,,,,,,,,,, +绵三七,Eriosema himalaicum,,,19300817,广东省,,山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00305190.jpg,,,,,,,,,, +,Eriosema himalaicum,叶金科,YNS0214,20080804,云南,1186,山坡荒地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1320404.jpg,,,,,,,,,, +芹叶牻牛儿苗,Erodium cicutarium,刘国钧 沈观冕,83154,83.05.13,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00018432.jpg,,,,,,,,,, +芹叶牻牛儿苗,Erodium cicutarium,H.H.Chung,1693,,福建省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0225582.jpg,,,,,,,,,, +芹叶?牛儿苗,Erodium cicutarium,叶居新,242,19600720,吉林省,,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00880158.jpg,,,,,,,,,, +,Erodium oxyrhinchum,王习勇,段士民,389,20070527,新疆,488,沙漠边缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1246530.jpg,,,,,,,,,, +,Erodium oxyrhinchum,"王计平, 张斌武, 刘俊良",ZHXSNA0425,20170908,内蒙古,1307,荒漠,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454345.jpg,,,,,,,,,, +,Erodium oxyrhinchum,M.Mikhailova,231,19780409,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01924913.jpg,,,,,,,,,, +牻牛儿苗,Erodium stephanianum,"何志斌, 杜军, 陈龙飞, 朱喜, 田全彦, 房舒, 赵敏敏",HHZA0310,20170927,山西,1290,农田,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1457775.jpg,,,,,,,,,, +牻牛儿苗,Erodium stephanianum,郭成勇,054129-1,20050502,山东省,200,山坡 荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02103181.jpg,,,,,,,,,, +牻牛儿苗,Erodium stephanianum,刘正宇,761830,19760915,重庆,630,栽培,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0086015.jpg,,,,,,,,,, +,Erodium tibetanum,T. Thomson,s.n.,,,3962.4~4572,,,,https://image.cvh.ac.cn/files/l/NY/00373608.jpg,,,,,,,,,, +西藏牻牛儿苗,Erodium tibetanum,克里木,?,92.07.,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00018478.jpg,,,,,,,,,, +西藏?牛儿苗,Erodium tibetanum,"李渤生,郑度,张百平",11067,19870817,西藏自治区,4300,河谷沙地时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032486.jpg,,,,,,,,,, +,Erythrina arborescens,徐如标,李成清,NJWLS2008260,20081121,云南,1662,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1320409.jpg,,,,,,,,,, +鹦哥花,Erythrina arborescens,"川西队,关克俭,王文采等",1580,19630817,四川省,1470,公路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092947.jpg,,,,,,,,,, +鹦哥花,Erythrina arborescens,贵州队,7752,19600725,贵州省,1300,山坡路旁稀林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00305201.jpg,,,,,,,,,, +,Erythrina stricta,钟补勤,1351,19790603,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00305250.jpg,,,,,,,,,, +,Erythrina stricta,郭永杰,聂细转,黄秋月,李昌洪,12CS4869,20120317,云南,1108,公路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1320415.jpg,,,,,,,,,, +,Erythrina stricta,B.Barhtolomew et D.E.Boufford,3856,19860330,,1500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00462200.jpg,,,,,,,,,, +,Eschscholzia californica,,,19590521,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0049171.jpg,,,,,,,,,, +花菱草,Eschscholzia californica,罗献瑞,105,1964-02-,云南省,1900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0132046.jpg,,,,,,,,,, +花菱草,Eschscholzia californica,邬文祥,9707,19950416,江苏省,,温室盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00582561.jpg,,,,,,,,,, +柠檬桉,Eucalyptus citriodora,徐有才,89412,19891121,广东,50m,路边,乔木,有花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00063120.jpg,,,,,,,,,, +柠檬桉,Eucalyptus citriodora,曾宪锋,ZXF35717,20170819,福建,370,山地、路旁,乔木,无花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0030998.jpg,,,,,,,,,, +,Eucalyptus citriodora,S.Y.Hu & K.H.Yung,258,20000903,香港,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00979815.jpg,,,,,,,,,, +,Eucalyptus tereticornis,杨赐福,176,19540830,福建省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00979945.jpg,,,,,,,,,, +细叶桉,Eucalyptus tereticornis,张代贵,y1105,20080706,广东湛江,,路边,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU66926.jpg,,,,,,,,,, +,Eucalyptus tereticornis,刘正宇,15422,19960320,重庆市,650,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01584879.jpg,,,,,,,,,, +伏毛山豆根,Euchresta horsfieldii,L. Escritor,,13-Jul,Mindanao,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00040212.jpg,,,,,,,,,, +伏毛山豆根,Euchresta horsfieldii,孙航,1700,19881202,云南省,1450,石灰岩山林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0611836.jpg,,,,,,,,,, +伏毛山豆根,Euchresta horsfieldii,Henry C. Wilford,"1228, 497",,台湾; Formosa,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00040210.jpg,,,,,,,,,, +刺果卫矛,Euonymus acanthocarpus,赵万义、刘忠成、谭维政、丁巧玲、叶矾、刘忠,LXP-13-08425,20151111,江西省九江市,,山坡、壤土(黄壤)、疏林,陆生、藤本、缠绕状,,https://image.cvh.ac.cn/files/l/SYS/SYS00181402.jpg,,,,,,,,,, +刺果卫矛,Euonymus acanthocarpus,,1061,19870804,湖南省,700,山沟溪旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629390.jpg,,,,,,,,,, +刺果卫矛,Euonymus acanthocarpus,植物地理调查队,201,19780630,重庆市,1800,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01375352.jpg,,,,,,,,,, +,Euonymus attenuatus,,,,,,,,,,,,,,,,,,, +灰绿卫矛,Euonymus cinereus,贵州队,190,19600322,贵州省,200,,灌木,无花无果,https://image.cvh.ac.cn/files/l/HGAS/026241.jpg,,,,,,,,,, +,Euonymus cinereus,刘正宇,458,19800715,四川,,林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00605698.jpg,,,,,,,,,, +,Euonymus clivicola,蒋兴麔、熊济华,34144,19530515,四川省,0~2300,,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769649.jpg,,,,,,,,,, +,Euonymus clivicola,梁正川、刘芙蓉、李奕橙、李亦可,DY0182,20190428,四川,2063,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0269364.jpg,,,,,,,,,, +丘生卫矛,Euonymus clivicola,李晓东,张紫刚,操榆,江红生,Lij611,20100911,云南,3011,院墙边,灌木,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0190542.jpg,,,,,,,,,, +角翅卫矛,Euonymus cornutus,"张志松,党成忠等",402450,19640611,贵州省,820,河谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01296810.jpg,,,,,,,,,, +,Euonymus cornutus,"张挺, 蔡杰, 刘恩德, 易思荣",12CS4040,20120526,重庆,,溪边灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395395.jpg,,,,,,,,,, +角翅卫矛,Euonymus cornutus,张代贵,zdg6920,20130518,湖北神农架林区,,山地丛灌中,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU36461.jpg,,,,,,,,,, +裂果卫矛,Euonymus dielsianus,K.M.Feng,13075,19471108,云南省,1400~1800,in mixed forests,,无花有果,https://image.cvh.ac.cn/files/l/PE/00827839.jpg,,,,,,,,,, +裂果卫矛,Euonymus dielsianus,刘小宁,5017,20041020,湖南省,400,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01941084.jpg,,,,,,,,,, +裂果卫矛,Euonymus dielsianus,,阳27,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00797602.jpg,,,,,,,,,, +双歧卫矛,Euonymus distichus,谭沛祥,58013,19520523,广东省,330,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00230774.jpg,,,,,,,,,, +双歧卫矛,Euonymus distichus,,s.n.,,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00797613.jpg,,,,,,,,,, +双歧卫矛,Euonymus distichus,,19,,,,灌木林中,,无花有果,https://image.cvh.ac.cn/files/l/SM/SM709500698.jpg,,,,,,,,,, +棘刺卫矛,Euonymus echinatus,,877,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00797676.jpg,,,,,,,,,, +棘刺卫矛,Euonymus echinatus,谢朝俊,41250,19550000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00797631.jpg,,,,,,,,,, +棘刺卫矛,Euonymus echinatus,邱炳云,55423,19571114,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00826223.jpg,,,,,,,,,, +繸叶卫矛,Euonymus fimbriatus,姜在民 杜诚 刘培亮等,588,2008/8/5,陕西省,1500,石上苔藓中,,无花有果,https://image.cvh.ac.cn/files/l/WUK/519709.jpg,,,,,,,,,, +繸叶卫矛,Euonymus fimbriatus,T.P.Wang,960,1935/9/30,山西,1700,,,有花有果,https://image.cvh.ac.cn/files/l/WUK/0008990.jpg,,,,,,,,,, +遂叶卫矛,Euonymus fimbriatus,75西藏队,23,19751011,西藏自治区,3000,南向阳坡疏林中野生,,无花有果,https://image.cvh.ac.cn/files/l/PE/00797783.jpg,,,,,,,,,, +扶芳藤,Euonymus fortunei,雷开东,ZB130807193,20130807,湖南湘西州,,林下,藤本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU25193.jpg,,,,,,,,,, +扶芳藤,Euonymus fortunei,中山大学生科院2011级实习小组,TYD1-1291,20120719,湖南省株洲市,,阴处、石上,藤本,,https://image.cvh.ac.cn/files/l/SYS/SYS00167787.jpg,,,,,,,,,, +扶芳藤,Euonymus fortunei,王秋美,2829,19971101,台湾省,1940,On roadside of forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00826173.jpg,,,,,,,,,, +冷地卫矛,Euonymus frigidus,张代贵,zdg6063,20120417,湖北神农架,,山间林中,乔木,无花无果,https://image.cvh.ac.cn/files/l/JIU/JIU36789.jpg,,,,,,,,,, +冷地卫矛,Euonymus frigidus,,507,19890000,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00826277.jpg,,,,,,,,,, +冷地卫矛,Euonymus frigidus,党成忠,840,19810723,贵州省,1740,岩石上山坡疏密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00826288.jpg,,,,,,,,,, +纤齿卫矛,Euonymus giraldii,黄土队(晋),100,1983/6/12,山西,1900,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0445805.jpg,,,,,,,,,, +纤齿卫矛,Euonymus giraldii,郭本兆,9291,19710627,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00826466.jpg,,,,,,,,,, +纤齿卫矛,Euonymus giraldii,老铁山采集队,54,20080430,辽宁省,393,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01941036.jpg,,,,,,,,,, +大花卫矛,Euonymus grandiflorus,刘慎谔,20711,19460722,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0268314.jpg,,,,,,,,,, +大花卫矛,Euonymus grandiflorus,赵万义、刘忠成、张忠、谭维政、张记军、叶矾、冯欣欣,LXP-13-09856,20151105,江西省萍乡市,,山坡、腐殖土、密林,陆生、灌木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00181855.jpg,,,,,,,,,, +大花卫矛,Euonymus grandiflorus,K.M.Liou,8337,19380508,陕西省,800,buisons coteaux,,有花无果,https://image.cvh.ac.cn/files/l/PE/00826668.jpg,,,,,,,,,, +西南卫矛,Euonymus hamiltonianus,刘昂,18110104,20181101,湖南,,,,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI065837.jpg,,,,,,,,,, +西南卫矛,Euonymus hamiltonianus,,邯221,19720610,河北省,800,阴坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01237994.jpg,,,,,,,,,, +,Euonymus hamiltonianus,黄土队(晋),613,1983/6/22,山西,1000,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0446411.jpg,,,,,,,,,, +克西卫矛,Euonymus kachinensis,陈少卿,15138,19580817,广西壮族自治区,0,水旁山谷密林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0411685.jpg,,,,,,,,,, +克西卫矛,Euonymus kachinensis,李延辉,5744,19641008,云南省,1850,山坡上疏林下水边潮湿。,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0411673.jpg,,,,,,,,,, +克西卫矛,Euonymus kachinensis,孙航,周浙昆,俞宏渊,2055,19921208,西藏自治区,2000,"The back hill of xiran,beiben country.",灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0411686.jpg,,,,,,,,,, +中缅卫矛,Euonymus lawsonii,周铉,516,19610407,云南省,1250,山坡,小乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0411755.jpg,,,,,,,,,, +狭柳叶卫矛,Euonymus lawsonii,钦州调查队,1-3471,19761121,广西壮族自治区,200,,,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI021195.jpg,,,,,,,,,, +柳叶卫矛,Euonymus lawsonii,刘正宇,762196,19761027,重庆,1960,山地杂木林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0095687.jpg,,,,,,,,,, +疏花卫矛,Euonymus laxiflorus,F.A.McClure,9447,19220505,海南省,750~800,wooded ravine mt.side forest in heavy forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00870050.jpg,,,,,,,,,, +疏花卫矛,Euonymus laxiflorus,"诚,礼,华",11,19850913,江西省,520,中上部山腰小路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01358485.jpg,,,,,,,,,, +疏花卫矛,Euonymus laxiflorus,李洪钧,3267,19580630,湖北省,600,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0269270.jpg,,,,,,,,,, +,Euonymus lucidus,青藏队,5539,19750606,西藏自治区,2400,彭曲河边东北坡常绿林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00870198.jpg,,,,,,,,,, +,Euonymus lucidus,"C.S.Chang, S.P.Hong, U.Kang, J.H.Paik, W.K.Ahn, H.",NE021022,20021020,,2718,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01068370.jpg,,,,,,,,,, +小果卫矛,Euonymus microcarpus,王明川,WNX0461,20140607,贵州,,湿地路旁,灌木,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0000608.jpg,,,,,,,,,, +小果卫矛,Euonymus microcarpus,张代贵,YH120806850,20120806,湖南湘西州,,路旁,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU44850.jpg,,,,,,,,,, +小果卫矛,Euonymus microcarpus,K.M.Liou,8446,19380511,陕西省,1130,Fentes des rochers des hautes montagnes,,有花无果,https://image.cvh.ac.cn/files/l/PE/00870451.jpg,,,,,,,,,, +大果卫矛,Euonymus myrianthus,"王名金,黄伯兴",3271,19550416,福建省,1400,山顶阴处,,无花无果,https://image.cvh.ac.cn/files/l/PE/00870997.jpg,,,,,,,,,, +大果卫矛,Euonymus myrianthus,熊济华、张秀实 等,30624,19520514,四川峨眉山,,,,有花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0006443.jpg,,,,,,,,,, +大果卫矛,Euonymus myrianthus,中苏队,4510,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0269788.jpg,,,,,,,,,, +小卫矛,Euonymus nanoides,黄土队(晋),1783,1983/7/25,山西,1600,,灌木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0447661.jpg,,,,,,,,,, +小卫矛,Euonymus nanoides,T.T.Yu,14269,19370914,四川省,3300,石边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00871193.jpg,,,,,,,,,, +小卫矛,Euonymus nanoides,黄河调查队,2315,19550701,山西省,,山坡阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/00871138.jpg,,,,,,,,,, +石枣子,Euonymus sanguineus,张代贵、王业清、朱晓琴,2597,20170821,湖北宜昌,1458,针阔混交林下灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/HHE17049.jpg,,,,,,,,,, +石枣子,Euonymus sanguineus,,723,19570815,江西省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0285409.jpg,,,,,,,,,, +石枣子,Euonymus sanguineus,"李良千,王忠涛,杜玉芬,卫然",12,20110831,甘肃省,2130~2200,山坡灌木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01914083.jpg,,,,,,,,,, +中亚卫矛,Euonymus semenovii,吴玉虎等,4320,19860807,青海省,3400,林下山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880943.jpg,,,,,,,,,, +中亚卫矛,Euonymus semenovii,陶德定,72,19780628,云南省 ,2800,云杉灌丛林内,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0413091.jpg,,,,,,,,,, +中亚卫矛,Euonymus semenovii,李馨,74937,1957/10/2,四川,,,灌木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0252451.jpg,,,,,,,,,, +茶叶卫矛,Euonymus theifolius,蔡希陶,57023,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0413471.jpg,,,,,,,,,, +茶叶卫矛,Euonymus theifolius,"郭永杰, 亚吉东, 李小杰, 韩杰",14CS8197,20140411,云南,,常绿阔叶林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1395406.jpg,,,,,,,,,, +茶叶卫矛,Euonymus theifolius,"周浙昆,费勇,税玉民等",455,19991024,云南省,2450,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01910859.jpg,,,,,,,,,, +西藏卫矛,Euonymus tibeticus,西藏中草药普查队,3937,19720714,西藏自治区,3000,林下灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839803.jpg,,,,,,,,,, +,Euonymus tibeticus,"罗建, 汪书丽, 任德智",L017,20100902,西藏,,林缘灌丛,草地,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1329701.jpg,,,,,,,,,, +,Euonymus tingens,T.T.Yu,7464,19370730,四川省,2400,under woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/00887174.jpg,,,,,,,,,, +,Euonymus tingens,"覃海宁,王印政等",1264,19980428,广西壮族自治区,800,山地 山坡 密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998976.jpg,,,,,,,,,, +染用卫矛,Euonymus tingens,H.T.Tsai,57383,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0285675.jpg,,,,,,,,,, +拟族藤卫矛,Euonymus vaganoides,陈照宙,52179,19580921,广西壮族自治区,0,山谷山坡密林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0413546.jpg,,,,,,,,,, +拟游藤卫矛,Euonymus vaganoides,"刘成, 亚吉东",18CS17214,20181119,西藏,1368,常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1482783.jpg,,,,,,,,,, +拟族藤卫矛,Euonymus vaganoides,邱炳云,53374,19561102,云南省,2200,干山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00887365.jpg,,,,,,,,,, +游藤卫矛,Euonymus vagans,"李渤生,倪志诚,程树志",6484,19830814,西藏自治区,2300,Cnpvessns林内时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00887383.jpg,,,,,,,,,, +游藤卫矛,Euonymus vagans,"熊济华,周子林",93379,19570912,重庆市,1250,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00887280.jpg,,,,,,,,,, +游藤卫矛,Euonymus vagans,赵万义、潭维政、冯欣欣、刘忠成、张记军、叶矾、张忠,LXP-13-09381,20151102,江西省吉安市,,山谷、壤土、疏林,陆生、灌木、平卧,,https://image.cvh.ac.cn/files/l/SYS/SYS00181670.jpg,,,,,,,,,, +荚蒾卫矛,Euonymus viburnoides,梁畴芬、吴德邻,32428,19570525,广西壮族自治区,1750,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0285924.jpg,,,,,,,,,, +荚蒾卫矛,Euonymus viburnoides,付竟秋,1172,19580926,河南省,1040,路边,灌木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00270716.jpg,,,,,,,,,, +荚迷卫矛,Euonymus viburnoides,王洪,4086,20000415,云南省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01881009.jpg,,,,,,,,,, +云南卫矛,Euonymus yunnanensis,,216,,,2630,混交林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00887867.jpg,,,,,,,,,, +,Euonymus yunnanensis,高信芬、涂卫国、何海、乔永康,7761,20030923,西藏自治区,1200,路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190610.jpg,,,,,,,,,, +云南卫矛,Euonymus yunnanensis,G.Foorest,13529,19140800,云南省,2333,In open thickets on the,,无花有果,https://image.cvh.ac.cn/files/l/PE/00887862.jpg,,,,,,,,,, +,Euphorbia altotibetica,郭本兆,3374,19560806,甘肃省,3700,河滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/00928345.jpg,,,,,,,,,, +,Euphorbia altotibetica,甘农大,7,19760605,西藏自治区,4550,旱生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850277.jpg,,,,,,,,,, +,Euphorbia altotibetica,郭柯,k-008,19900531,青海省,3800,山间谷地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045214.jpg,,,,,,,,,, +火殃勒,Euphorbia antiquorum,梁向日,64536,19340112,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0311783.jpg,,,,,,,,,, +金刚纂,Euphorbia antiquorum,叶金科,YN2496,20070323,云南,800,园边,,无花有果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0004143.jpg,,,,,,,,,, +,Euphorbia antiquorum,青藏队,7090,19750715,西藏自治区,1900~2100,河谷山坡岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00928403.jpg,,,,,,,,,, +,Euphorbia dentata,李增新,4496,19890721,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01922721.jpg,,,,,,,,,, +,Euphorbia dentata,"石硕,梁文达",SZ4095,20140907,河北省,331,山坡石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031828.jpg,,,,,,,,,, +齿裂大戟,Euphorbia dentata,马海英、秦磊、敖鸿舜,GZ143,20140802,贵州省,951,路边、荒地、山坡、沟边,一年生草本,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0133845.jpg,,,,,,,,,, +长叶大戟,Euphorbia donii,"张挺, 刘成, 亚吉东",18CS17653,20180914,西藏,3009,林缘路边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486540.jpg,,,,,,,,,, +狼毒,Euphorbia fischeriana,W.Z.Li,66,198106,云南省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI010126.jpg,,,,,,,,,, +狼毒大戟,Euphorbia fischeriana,刘全儒,QL365,20080719,陕西省,1700,,草本,,https://image.cvh.ac.cn/files/l/BNU/0011150.jpg,,,,,,,,,, +狼毒大戟,Euphorbia fischeriana,W.P.Brooks,395,18840000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01693410.jpg,,,,,,,,,, +圆苞大戟,Euphorbia griffithii,滇黔桂区系队,40330,19910509,贵州省,1000,石灰山灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0404633.jpg,,,,,,,,,, +,Euphorbia griffithii,B.Bartholomew,1568,19840506,,2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01693416.jpg,,,,,,,,,, +圆苞大戟,Euphorbia griffithii,,595-26,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0184365.jpg,,,,,,,,,, +飞杨草,Euphorbia hirta,"殷建涛,王洪,施学强",1175,20091118,云南,550,公路边,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030138.jpg,,,,,,,,,, +飞扬草,Euphorbia hirta,S. Kwoks,255,1916/8/8,City of Manila,Two,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00035579.jpg,,,,,,,,,, +飞扬草,Euphorbia hirta,潭仲明,545,20010804,四川省 ,1300,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00229008.jpg,,,,,,,,,, +地锦,Euphorbia humifusa,郭成勇,1501106-2,20040706,山东省,300,路边草丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01680713.jpg,,,,,,,,,, +地锦,Euphorbia humifusa,刘瑶,16,20170831,浙江,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0017757.jpg,,,,,,,,,, +地锦,Euphorbia humifusa,袁明,YUANM2015L109,20151125,四川,313,荒地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1457025.jpg,,,,,,,,,, +,Euphorbia jolkinii,H.Ikeda & T.Yahara,57,19850511,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01693757.jpg,,,,,,,,,, +,Euphorbia jolkinii,T.Y.A.Yang & C.C.Yen,11764,19990331,台湾省,50,Trailside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01829558.jpg,,,,,,,,,, +,Euphorbia jolkinii,尹志坚等,H-滇大理-Z2539,20100610,云南省,2000,路边,草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01922702.jpg,,,,,,,,,, +续随子,Euphorbia lathyris,秦岭队,10943,19590909,陕西省,1100,山谷阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00946226.jpg,,,,,,,,,, +续随子,Euphorbia lathyris,刘昉勋,898,19510424,江苏省,,in cultvated ground,,有花有果,https://image.cvh.ac.cn/files/l/PE/00946233.jpg,,,,,,,,,, +续随子,Euphorbia lathyris,,230,19720916,河北省,100,栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/01237841.jpg,,,,,,,,,, +甘青大戟,Euphorbia micractina,Purdom,,,甘肃; KANSU,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00035662.jpg,,,,,,,,,, +,Euphorbia micractina,卧佛寺队,491,19551015,北京,,岩石上半阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01829604.jpg,,,,,,,,,, +,Euphorbia micractina,T.N.Ho(HNWP)et al.,2702,19960830,青海省,3570,Growing on grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01829476.jpg,,,,,,,,,, +,Euphorbia motuogensis,,,,,,,,,,,,,,,,,,, +霸王鞭,Euphorbia royleana,红河队,87-054,19871114,云南省,0,河谷多刺灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0404531.jpg,,,,,,,,,, +霸王鞭,Euphorbia royleana,建水县普查队,5325240887,20191127,云南,328,路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1524420.jpg,,,,,,,,,, +,Euphorbia sikkimensis,叶之池,利211,,湖北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00947243.jpg,,,,,,,,,, +黄苞大戟,Euphorbia sikkimensis,魏来、何毅,BNUXZ2016236,20160719,西藏,3000~2800,山坡,,,https://image.cvh.ac.cn/files/l/BNU/0028049.jpg,,,,,,,,,, +,Euphorbia sikkimensis,,41016,,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01850230.jpg,,,,,,,,,, +,Euphorbia stracheyi,赛明兰,威005,19831029,贵州,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01829533.jpg,,,,,,,,,, +,Euphorbia stracheyi,T.N.Liou,5614,19321021,,520,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01693675.jpg,,,,,,,,,, +,Euphorbia stracheyi,第一组第一小组,s.n.,,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01840740.jpg,,,,,,,,,, +千根草,Euphorbia thymifolia,,,19780806,四川,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM708501045.jpg,,,,,,,,,, +,Euphorbia thymifolia,盛宁等,Y053,19961103,江苏,,田埂上,匍匐草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00605590.jpg,,,,,,,,,, +,Euphorbia thymifolia,易思荣,20370,19960820,重庆,,草坪中,伏地草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00605503.jpg,,,,,,,,,, +,Euphorbia tibetica,T.N.Liou,5509,19321015,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01693694.jpg,,,,,,,,,, +西藏大戟,Euphorbia tibetica,亚吉东,张桥蓉,胡枭剑,17CS16217,20170624,新疆,2531,碎石坡,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437757.jpg,,,,,,,,,, +西藏大戟,Euphorbia tibetica,魏来、郝加琛,15526,20150801,西藏,4600~4800,路边,草本,,https://image.cvh.ac.cn/files/l/BNU/0025894.jpg,,,,,,,,,, +,Euphorbia wallichii,谭仕兴,171,20050104,贵州省,950,溪沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01680682.jpg,,,,,,,,,, +,Euphorbia wallichii,广西队,4234,19530600,广西壮族自治区,,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850285.jpg,,,,,,,,,, +大果大戟,Euphorbia wallichii,Forrest,2375,,西藏; Tibet,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00035655.jpg,,,,,,,,,, +,Euptelea pleiosperma,陕西队,137,19620000,,,山谷 阴处 林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01826698.jpg,,,,,,,,,, +,Euptelea pleiosperma,北京队,3432,19880615,湖南省,1200,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859086.jpg,,,,,,,,,, +领春木,Euptelea pleiosperma,袁明,Y07107,20070929,四川,1700,常绿阔叶林林缘,,果标本,https://image.cvh.ac.cn/files/l/KUN/1230527.jpg,,,,,,,,,, +马蹄荷,Exbucklandia populnea,"李渤生,程树志",1491,19821026,西藏自治区,1900~2100,常绿阔叶林缘时见-格当,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074510.jpg,,,,,,,,,, +马蹄荷,Exbucklandia populnea,侯宽昭,73317,19350726,海南省,1900,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00344322.jpg,,,,,,,,,, +马蹄荷,Exbucklandia populnea,胡启明,2635,19580515,江西省,600,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0328807.jpg,,,,,,,,,, +草沉香,Excoecaria acerifolia,Ho-Chang Chow,1542,19340907,湖北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00947705.jpg,,,,,,,,,, +云南土沉香,Excoecaria acerifolia, ,69,,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00166075.jpg,,,,,,,,,, +云南土沉香,Excoecaria acerifolia,"徐波, 陈光富, 陈林杨, 董金龙等",SunH-07ZX-0317,20080721,西藏,,流石滩,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1311545.jpg,,,,,,,,,, +,Excoecaria acerifolia var. cuspidata,Y.Tsiang,12274,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01381737.jpg,,,,,,,,,, +,Excoecaria acerifolia var. cuspidata,彭玉兰、涂卫国、余春丽,Gaoxf0787,20080824,四川,1670,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0206166.jpg,,,,,,,,,, +,Excoecaria acerifolia var. cuspidata,D.E.Boufford et al.,40599,20090716,西藏自治区,2320~2330,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01925193.jpg,,,,,,,,,, +,Excoecaria agallocha,236-6队,3807,19810714,海南省,150,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00947790.jpg,,,,,,,,,, +,Excoecaria agallocha,"张寿洲,李良千等",690,20050427,广东省,50,海边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01808043.jpg,,,,,,,,,, +海漆,Excoecaria agallocha,东兴市普查队,450681170825029LY,20170825,广西,3,其他,路旁,黄棕壤,一般野生,乔木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00418070.jpg,,,,,,,,,, +,Excoecaria oppositifolia,M.F.Newman,1066,20000625,,350,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0313482.jpg,,,,,,,,,, +,Falconeria insignis,"税玉民,陈文红,张美德",40727,20040429,云南省,360,石灰岩山稀树灌丛,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1311563.jpg,,,,,,,,,, +石榕树,Ficus abelii,"刘恩德,方伟,朱鑫鑫, 孙增朋",LiuED6591,20161206,云南,800,无,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1495110.jpg,,,,,,,,,, +石榕树,Ficus abelii,中越考察队,1083,19650105,山西,460~370,次生林下,,有果无花,https://image.cvh.ac.cn/files/l/KUN/514414.jpg,,,,,,,,,, +石榕树,Ficus abelii,,57506,19600422,广东,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/515350.jpg,,,,,,,,,, +高山榕,Ficus altissima,薛宇,2676,20190629,福建,18,路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/AU/AU076789.jpg,,,,,,,,,, +高山榕,Ficus altissima,赵清盛,6045,19780708,四川省,1900,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00216266.jpg,,,,,,,,,, +高山榕,Ficus altissima,贵州队,3995,19600527,贵州省,1000,山坡,乔木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00303823.jpg,,,,,,,,,, +大果榕,Ficus auriculata,侯小琪,522325180920258LY,20180920,贵州,448.2,阔叶林、中生、阳性、钙质土、中温、野生植物,乔木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0094157.jpg,,,,,,,,,, +大果榕,Ficus auriculata,S.Larsen,33981,,,300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0353058.jpg,,,,,,,,,, +木瓜果,Ficus auriculata,,64328,19640123,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00042124.jpg,,,,,,,,,, +垂叶榕,Ficus benjamina,程堂仁、张强英、郭治友等,H-黔三都-Z-0466,20101101,贵州,845,土山,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00073279.jpg,,,,,,,,,, +垂叶榕,Ficus benjamina,叶华谷、邢福武,9392,20031201,澳门,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0353172.jpg,,,,,,,,,, +垂叶榕,Ficus benjamina,海南队,1865,19750104,海南省,,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00777329.jpg,,,,,,,,,, +无花果,Ficus carica,,,19610000,北京,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00042146.jpg,,,,,,,,,, +无花果,Ficus carica,新疆采集队,1599,1978/7/12,新疆维吾尔族自治区,1400,,灌木 ,无花有果,https://image.cvh.ac.cn/files/l/WUK/0335813.jpg,,,,,,,,,, +无花果,Ficus carica,,s.n.,19390000,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00579186.jpg,,,,,,,,,, +葎草,Ficus concinna,刘正宇、张军等,RQHZ05815-02,20151011,四川省,381,河边,藤本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0036642.jpg,,,,,,,,,, +,Ficus concinna,王洪,4039,20010422,云南省,1200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01602399.jpg,,,,,,,,,, +,Ficus concinna,Y.Tsiang,12350,19330000,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00761950.jpg,,,,,,,,,, +钝叶榕,Ficus curtipes,周仕顺,2224,20050124,云南省,1200,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01865816.jpg,,,,,,,,,, +钝叶榕,Ficus curtipes,王启无,75451,19360800,云南省 ,700,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0353680.jpg,,,,,,,,,, +钝叶榕,Ficus curtipes,,317,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/022856.jpg,,,,,,,,,, +歪叶榕,Ficus cyrtophylla, ,220,,海南省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00086585.jpg,,,,,,,,,, +,Ficus cyrtophylla,"刘冰,覃海宁,张宪春等",864,20070615,广西壮族自治区,186,石山林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02039621.jpg,,,,,,,,,, +歪叶榕,Ficus cyrtophylla,"龙春林, 杨珺, 雷启义, 李东平, 周悦, 罗斌圣",LONGCL-120,20160707,贵州,465,亚热带常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1452827.jpg,,,,,,,,,, +毛果枕果榕,Ficus drupacea var. pubescens,刘伟心,759,19531215,云南省,160,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0353790.jpg,,,,,,,,,, +印度榕,Ficus elastica,陈少卿,17547,19610321,海南省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0353799.jpg,,,,,,,,,, +印度胶树,Ficus elastica,陈少卿,6977,19501212,广东省,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/00579657.jpg,,,,,,,,,, +印度榕,Ficus elastica,邬文祥,7443,19820614,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00573793.jpg,,,,,,,,,, +,Ficus esquiroliana,红水河植物考察队,363,19890502,广西壮族自治区,1200,山地山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984795.jpg,,,,,,,,,, +黄毛榕,Ficus esquiroliana,刘清许,2.01E+11,20130706,福建,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU074267.jpg,,,,,,,,,, +,Ficus esquiroliana,曹子余,1079,19581022,贵州省,1050,山坡疏林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00776172.jpg,,,,,,,,,, +线尾榕,Ficus filicauda,"蔡杰, 刘恩德, 郭永杰",13CS7684,20130531,西藏,,树上,附生植物,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395319.jpg,,,,,,,,,, +,Ficus filicauda,H. R. E. Handel-Mazzetti,9458,1916/7/9,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00034570.jpg,,,,,,,,,, +,Ficus filicauda,"李渤生,程树志",5063,19830614,西藏自治区,2150,常绿阔叶林中时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491259.jpg,,,,,,,,,, +,Ficus filicauda var. longipes,"李渤生,程树志等",2950,19830312,西藏自治区,1500,常绿阔叶林中时见小乔,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491216.jpg,,,,,,,,,, +水同木,Ficus fistulosa,中苏队,808,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0354310.jpg,,,,,,,,,, +,Ficus fistulosa,R.C.Ching,7055,19280821,广西壮族自治区,1333,In wood,,无花无果,https://image.cvh.ac.cn/files/l/PE/00610203.jpg,,,,,,,,,, +,Ficus fistulosa,Tatemi Shimizu et al.,26953,19791211,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01578797.jpg,,,,,,,,,, +黄毛榕,Ficus fulva,杨求华,CS3473,20080628,贵州,700,林中,,无花无果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0001197.jpg,,,,,,,,,, +金毛榕,Ficus fulva,钟济新,371,19530903,海南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0354931.jpg,,,,,,,,,, +黄毛榕,Ficus fulva,李学根,200762,,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00640555.jpg,,,,,,,,,, +冠毛榕,Ficus gasparriniana,"何海文, 杨锦超",YangXF0052,20121205,广西,,南亚热带季风常绿阔叶季雨林路旁,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395320.jpg,,,,,,,,,, +冠毛榕,Ficus gasparriniana,张代贵,XYQ0716,20120512,湖北神农架林区,,林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU64322.jpg,,,,,,,,,, +冠毛榕,Ficus gasparriniana,张代贵,JH033,20160406,湖南永州,,路边针叶林下,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU23426.jpg,,,,,,,,,, +,Ficus gasparriniana var. laceratifolia,巴山采集队,6306,20120709,四川省,,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066218.jpg,,,,,,,,,, +菱叶冠毛榕,Ficus gasparriniana var. laceratifolia,王树嘉,1225,,江西省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0370087.jpg,,,,,,,,,, +,Ficus gasparriniana var. laceratifolia,三峡考察队,2119,20080721,重庆市,504~521,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01868035.jpg,,,,,,,,,, +曲枝榕,Ficus geniculata,C.W.Wang,80540,19361100,云南省 ,1200,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00291292.jpg,,,,,,,,,, +,Ficus geniculata,秦仁昌,s.n.,19520320,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00611070.jpg,,,,,,,,,, +曲枝榕,Ficus geniculata,"郭永杰, 赵文李, 唐培洵, 金仙玲, 张香群",13CS7399,20130422,云南,,沟谷,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395321.jpg,,,,,,,,,, +斜叶榕,Ficus glaberrima,侯宽昭,70010,19330120,海南,,nearly wild palce,on road side,tree,有花无果,https://image.cvh.ac.cn/files/l/SN/SN006834.jpg,,,,,,,,,, +大叶水榕,Ficus glaberrima,广州地理研究所,105,,广东省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0370348.jpg,,,,,,,,,, +大叶水榕,Ficus glaberrima,"朱鑫鑫, 王君, 林庶",ZXX191865,20191217,云南,939,亚热带季雨林,林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483099.jpg,,,,,,,,,, +,Ficus hederacea,"简焯坡,党忠成等",50207,19650521,贵州省,900,河边 丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01299565.jpg,,,,,,,,,, +,Ficus hederacea,周仕顺,6442,20090816,云南省,600,沟谷箐边热带雨林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872173.jpg,,,,,,,,,, +,Ficus hederacea,刘瑛光,1724,19580830,广东省,200,山地 路旁 屋旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/00611185.jpg,,,,,,,,,, +尖叶榕,Ficus henryi,南川队,96889,19620907,四川,740,沟边,灌木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM702200497.jpg,,,,,,,,,, +尖叶榕,Ficus henryi,王金英,邱竹君,刘颖艺,WJY0109,20180813,福建,43~201.3,栽植,小乔木,无花有果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0001968.jpg,,,,,,,,,, +尖叶榕,Ficus henryi,刘正宇,12886,19900823,重庆,800,溪边杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00615953.jpg,,,,,,,,,, +山榕,Ficus heterophylla,白埰,,19360800,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00042222.jpg,,,,,,,,,, +山榕,Ficus heterophylla,川黔队,788,19560716,重庆市,,石灰岩场处山坡疏密灌木丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02075606.jpg,,,,,,,,,, +山榕,Ficus heterophylla,唐忠炳、李莉阳、胡薇薇、肖娜金、邱相东,T180718131,20180721,江西,200~600,林下,,无花无果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0011757.jpg,,,,,,,,,, +尾叶榕,Ficus heteropleura,李耀,2193,19371204,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00087491.jpg,,,,,,,,,, +,Ficus heteropleura,J.F.Maxwell ,95-584,19950825,,500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01795092.jpg,,,,,,,,,, +,Ficus heteropleura,T.Y.A.Yang et al.,13320,20000715,台湾省,400,"Trailside,forest margin,beside ditch",,无花有果,https://image.cvh.ac.cn/files/l/PE/01041337.jpg,,,,,,,,,, +粗叶榕,Ficus hirta,旷仁平,LXP03-06282,20150726,江西,211,山谷、腐殖土、疏林、路旁、常见种,陆生、草本、直立,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00199142.jpg,,,,,,,,,, +粗叶榕,Ficus hirta,毛宗国,10272,19641114,浙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/HHBG/HZ004666.jpg,,,,,,,,,, +粗叶榕,Ficus hirta,张代贵,DXY196,20110523,广东湛江,,山坡林,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU28612.jpg,,,,,,,,,, +对叶榕,Ficus hispida,曹子余,890,19581007,贵州省,800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01865808.jpg,,,,,,,,,, +对叶榕,Ficus hispida,"李儒财, 龙文兴",LWX50065,20131123,海南,382,热带低地雨林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1457934.jpg,,,,,,,,,, +对叶榕,Ficus hispida,236-6队,3757,19810705,海南省,60~80,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00777392.jpg,,,,,,,,,, +大青树,Ficus hookeriana,彭玉德、黄雪彦、李金花,451425161031016LY,20161031,广西,614,灌丛,林缘,石灰土,乔木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0183545.jpg,,,,,,,,,, +大青树,Ficus hookeriana,,3307,19210929,,820,,tree,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00293965.jpg,,,,,,,,,, +,Ficus hookeriana,,s.n.,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00760105.jpg,,,,,,,,,, +壶托榕,Ficus ischnopoda,周鹤昌,5571,,福建省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0372127.jpg,,,,,,,,,, +壶托榕,Ficus ischnopoda,尖峰林科所,99632,19600422,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/023079.jpg,,,,,,,,,, +壶托榕,Ficus ischnopoda,贾彧,522325190117269LY,20190117,贵州,1034,灌丛、中生、阳性、中温、钙质土、野生植物,灌木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0094160.jpg,,,,,,,,,, +光叶榕,Ficus laevis,北京队,897293,19890918,广西壮族自治区,,山坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984928.jpg,,,,,,,,,, +光叶榕,Ficus laevis,梁宝汉,86270,19510826,湖南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0372184.jpg,,,,,,,,,, +光叶榕,Ficus laevis,梁宝汉,84475,19430502,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00087803.jpg,,,,,,,,,, +短小天仙果,Ficus lamponga,老挝考察队(版纳植物园),930710,19930510,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/059616.jpg,,,,,,,,,, +,Ficus langkokensis,李剑武,1861,20120905,云南,1000,常绿阔叶林,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027859.jpg,,,,,,,,,, +青藤公,Ficus langkokensis,H.T.Tsai,56850,19330208,云南省 ,1750,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0372335.jpg,,,,,,,,,, +青藤公,Ficus langkokensis,北京队,895441,19890531,广西壮族自治区,400,山坡沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01984930.jpg,,,,,,,,,, +疣枝榕,Ficus maclellandii,肖春芬,C160269,20090310,云南省,570,荫生植物园,,,https://image.cvh.ac.cn/files/l/HITBC/0021824.jpg,,,,,,,,,, +榕树,Ficus microcarpa,,,,台湾省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0372587.jpg,,,,,,,,,, +榕树,Ficus microcarpa,G.N.Batianoff,5335,19860914,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01898730.jpg,,,,,,,,,, +榕树,Ficus microcarpa,中越考察队,2277,19650215,宁平省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00087861.jpg,,,,,,,,,, +,Ficus motuoensis,,,,,,,,,,,,,,,,,,, +森林榕,Ficus neriifolia,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,982,20121018,西藏,,林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230544.jpg,,,,,,,,,, +,Ficus neriifolia,"韩裕丰,邓坤梅,陈永瑞",81-550,19810601,云南省,1950,路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/00777334.jpg,,,,,,,,,, +森林榕,Ficus neriifolia,H.T.Tsai,54804,19331008,云南省 ,1800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0372636.jpg,,,,,,,,,, +九丁树,Ficus nervosa,Shiu Ying Hu,12436,19721105,香港,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00641476.jpg,,,,,,,,,, +九丁榕,Ficus nervosa,熊、何,1477,19561025,重庆,,,乔木,无花有果,https://image.cvh.ac.cn/files/l/HGAS/009370.jpg,,,,,,,,,, +九丁树,Ficus nervosa,Ya-Yi Huang et al.,370,20010501,台湾省,110,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01602219.jpg,,,,,,,,,, +苹果榕,Ficus oligodon,梁宝汗,84646,19530726,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00217635.jpg,,,,,,,,,, +,Ficus oligodon,黄茂先,110621,19580620,广东省,176,路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/00641503.jpg,,,,,,,,,, +苹果榕,Ficus oligodon,赵文李;陶小强,BSGLGSly3331,20200722,云南,1714,路边、河边、沟边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1557160.jpg,,,,,,,,,, +,Ficus prostrata,俞德俊,20439,19380926,云南省,1200,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00641823.jpg,,,,,,,,,, +,Ficus pubigera,Walter N.Koelz,30696,19520719,,1333,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01724725.jpg,,,,,,,,,, +褐叶榕,Ficus pubigera,黄全,820336,19820420,海南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0373217.jpg,,,,,,,,,, +,Ficus pubigera,北京队,895559,19890531,广西壮族自治区,500,山沟,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984955.jpg,,,,,,,,,, +大果褐叶榕,Ficus pubigera var. maliformis,张志松,2396,19600512,贵州省,1000,,灌木,有花无果,https://image.cvh.ac.cn/files/l/HGAS/009460.jpg,,,,,,,,,, +大果褐叶榕,Ficus pubigera var. maliformis,陈少卿,11894,19570613,广西壮族自治区,740~880,,藤本攀援,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00292443.jpg,,,,,,,,,, +,Ficus pubigera var. maliformis,王启无,75411,19360600,云南省,1520,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/00641857.jpg,,,,,,,,,, +菩提树,Ficus religiosa,叶华谷、邢福武,9267,20031129,澳门,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0373850.jpg,,,,,,,,,, +思维树,Ficus religiosa,S.Tanaka,12,19250501,台湾省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00565304.jpg,,,,,,,,,, +菩提树,Ficus religiosa,张劲林,4072504,20040725,广东,,,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0050041.jpg,,,,,,,,,, +,Ficus rigida,S.Saito,7333,19291107,台湾省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01400847.jpg,,,,,,,,,, +心叶榕,Ficus rumphii,R.P.Dwivedi,7816,19810204,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0373907.jpg,,,,,,,,,, +心叶榕,Ficus rumphii,叶华谷、邢福武,8712,20030619,澳门,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0373906.jpg,,,,,,,,,, +心叶榕,Ficus rumphii,张寿洲、陈真传,14735,20050317,云南省,1560,路边林下,,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00004975.jpg,,,,,,,,,, +,Ficus sagittata,考察队,31946,19820430,云南省,820,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01602261.jpg,,,,,,,,,, +羊乳榕,Ficus sagittata,邓良,3800,19570223,海南省 ,300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0373933.jpg,,,,,,,,,, +,Ficus sagittata,,2666,19161108,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00565361.jpg,,,,,,,,,, +葡茎榕,Ficus sarmentosa,"朱鑫鑫, 王君, 石琳琳, 徐坤, 王雨鑫",ZhuXX289,20171122,湖北,203,亚热带针阔混交林,路边,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1454509.jpg,,,,,,,,,, +匍茎榕,Ficus sarmentosa,熊豫宁等,1332,20110414,江苏省,,山坡林中,藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00580712.jpg,,,,,,,,,, +,Ficus sarmentosa,李小杰,LiXJ133,20120905,四川省,820,山坡林下,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1327089.jpg,,,,,,,,,, +珍珠莲,Ficus sarmentosa var. henryi,周文君、景慧娟、李贞,JGS-C029,20110714,江西省井冈山市,892,水旁,乔木,,https://image.cvh.ac.cn/files/l/SYS/SYS00181097.jpg,,,,,,,,,, +珍珠莲,Ficus sarmentosa var. henryi,"方炎明,邓懋彬等",975041,19970507,浙江省,600,溪沟边岩石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00777065.jpg,,,,,,,,,, +珍珠莲,Ficus sarmentosa var. henryi,陇西山考察队,1230,19910610,福建省,620~900,常绿阔叶林带内 山坡沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01548514.jpg,,,,,,,,,, +,Ficus sarmentosa var. luducca,白水江考察队,1424,20060708,甘肃省,800,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01359589.jpg,,,,,,,,,, +长柄爬藤榕,Ficus sarmentosa var. luducca,贺肾育,2497,19340523,安徽省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00293176.jpg,,,,,,,,,, +,Ficus sarmentosa var. luducca,"程树志,李渤生",223,19820818,西藏自治区,2200~2500,常绿阔叶林树上常见藤本植物,,无花有果,https://image.cvh.ac.cn/files/l/PE/00776295.jpg,,,,,,,,,, +白背爬藤榕,Ficus sarmentosa var. nipponica,赵万义、刘忠成、张忠、谭维政、张记军、叶矾、冯欣欣,LXP-13-09991,20151106,江西省萍乡市,,山谷、壤土、疏林、树上,陆生、藤本、攀援状,,https://image.cvh.ac.cn/files/l/SYS/SYS00181092.jpg,,,,,,,,,, +珍珠莲,Ficus sarmentosa var. nipponica,,189,,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00776506.jpg,,,,,,,,,, +珍珠莲,Ficus sarmentosa var. nipponica,岳俊三等,4842,19631019,江西省,730,贴生于树干上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00776527.jpg,,,,,,,,,, +鸡嗉子榕,Ficus semicordata,"郭永杰, 王雨华, 杨立新, 李姗",18CS16832,20180507,西藏,838,路边树林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486973.jpg,,,,,,,,,, +鸡嗉子果,Ficus semicordata,红水河植物考察队,587,19890511,广西壮族自治区,700,山地山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984985.jpg,,,,,,,,,, +鸡嗉子榕,Ficus semicordata,昆明工作站,61612,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0374901.jpg,,,,,,,,,, +极简榕,Ficus simplicissima,刀志灵,Dao 177,19891128,云南省,1200,次生林路边,,,https://image.cvh.ac.cn/files/l/KUN/1290559.jpg,,,,,,,,,, +粗叶榕,Ficus simplicissima,叶金科,YN1301,20061108,云南,1400,林中,,无花有果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0001236.jpg,,,,,,,,,, +极简榕,Ficus simplicissima,路端正,4,19830115,湖南省,250,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00041603.jpg,,,,,,,,,, +,Ficus sinuata,PE-BO Team(Zhang X-C etc.),34,20131205,,1100~1300,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039451.jpg,,,,,,,,,, +,Ficus squamosa,王印政等,5044,19981028,云南省,500,山地路旁山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01802851.jpg,,,,,,,,,, +肉托榕,Ficus squamosa,M.K.Li,1467,19391211,云南省 ,1100,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0374993.jpg,,,,,,,,,, +肉托榕,Ficus squamosa,李剑武,2961,20130318,云南,680,河边,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028307.jpg,,,,,,,,,, +棒果榕,Ficus subincisa,赵豪,522422160819009LY,20160819,贵州省,1122,中生、阳性、中温、酸性土、野生植物、阔叶林,乔木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0034087.jpg,,,,,,,,,, +棒果榕,Ficus subincisa,"郭永杰, 唐培洵, 金永明, 张娅婕",13CS7735,20130822,云南,,常绿阔叶林下岩石上,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395332.jpg,,,,,,,,,, +,Ficus subincisa,"郭永杰, 王雨华, 杨立新, 李姗",18CS16925,20180512,西藏,1469,亚热带常绿阔叶林小路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483964.jpg,,,,,,,,,, +,Ficus subulata,曹子余,983,19581012,贵州省,800,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00566734.jpg,,,,,,,,,, +,Ficus subulata,Tatemi shimizu,Hideo Toyokuni,Hiroshige Koyama,Tet,27218,19791214,P.Prov.Phuket,100.37,,,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0194891.jpg,,,,,,,,,, +,Ficus subulata,S.Saito,8125,19270521,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01578552.jpg,,,,,,,,,, +地瓜,Ficus tikoua,T.Y.A.Yang & C.N.Wang,10168,19980325,台湾省,180,"Roadside,forest margin",,有花无果,https://image.cvh.ac.cn/files/l/PE/00777241.jpg,,,,,,,,,, +地瓜,Ficus tikoua,北京队,890797,19890505,广西壮族自治区,300,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01985024.jpg,,,,,,,,,, +地瓜,Ficus tikoua,毕节队,601,19590729,贵州省,1500,山脚岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01865817.jpg,,,,,,,,,, +斜叶榕,Ficus tinctoria subsp. gibbosa,俞德俊,3197,19330000,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0390484.jpg,,,,,,,,,, +斜叶榕,Ficus tinctoria subsp. gibbosa,中越考察队,57,0,广宁,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/514849.jpg,,,,,,,,,, +斜叶榕,Ficus tinctoria subsp. gibbosa,钟补勤,234,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0390425.jpg,,,,,,,,,, +黄葛树,Ficus virens,陈同春,875,19881009,湖南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0391208.jpg,,,,,,,,,, +黄葛树,Ficus virens,谭策铭,易桂花,吴建福,11880,20120107,江西省,130,校园栽培,落叶乔木,无花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00021248.jpg,,,,,,,,,, +黄葛树,Ficus virens,王俊,杨浩,LuoP074,20140118,四川,1347,亚热带落叶阔叶林坡地,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1437211.jpg,,,,,,,,,, +,Flacourtia jangomas,梁向日,62392,19330805,海南省,,山顶半路的阴林,,有花有果,https://image.cvh.ac.cn/files/l/PE/01280241.jpg,,,,,,,,,, +炉甘果,Flacourtia jangomas,邓良,1925,19560805,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/008091.jpg,,,,,,,,,, +云南刺篱木,Flacourtia jangomas,德保县普查队,451024150628029LY,20150628,广西壮族自治区,560,阔叶林,林下,石灰土,少见野生,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00409420.jpg,,,,,,,,,, +,Flemingia macrophylla,"王印政,彭华,邓德山等",4537,19981022,云南省,500,山地山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01596970.jpg,,,,,,,,,, +大叶千斤拔,Flemingia macrophylla,"刘成, 亚吉东",18CS17208,20181118,西藏,1063,次生林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1482771.jpg,,,,,,,,,, +,Flemingia macrophylla,北京队,890516,19890429,广西壮族自治区,350,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996781.jpg,,,,,,,,,, +球穗千斤拔,Flemingia strobilifera,石国良,14596,19831030,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0179856.jpg,,,,,,,,,, +,Flemingia strobilifera,F.Docpaus,4891,18910000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922570.jpg,,,,,,,,,, +球穗 千斤拔,Flemingia strobilifera,李阴昆,402348,1958/11/6,广西省,,,亚灌木、直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0181906.jpg,,,,,,,,,, +白饭树,Flueggea virosa,闽农,702,,福建省,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0186012.jpg,,,,,,,,,, +白饭树,Flueggea virosa,GEORGE FORREST.,30904,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240344.jpg,,,,,,,,,, +白饭树,Flueggea virosa,林洪胜,429,19640616,海南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0313594.jpg,,,,,,,,,, +裂萼草莓,Fragaria daltoniana,毛建平,2005015,20040000,西藏自治区,3052,林间空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841202.jpg,,,,,,,,,, +裂萼草莓,Fragaria daltoniana,M.Suzuki etc.,8810476,19880718,,3100,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1264457.jpg,,,,,,,,,, +纤细草莓,Fragaria gracilis,张林、李星月、张晓严,5-242,20180615,西藏,2818,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023574.jpg,,,,,,,,,, +纤细草莓,Fragaria gracilis,"徐养鹏,于兆英",1641,1981/8/12,宁夏,2600,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0449107.jpg,,,,,,,,,, +纤细草莓,Fragaria gracilis,青甘队,1910,1959/9/20,青海,2540,,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0164174.jpg,,,,,,,,,, +西南草莓,Fragaria moupinensis,张林、李星月、张晓严,3月3日,20180610,西藏,3672,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023626.jpg,,,,,,,,,, +西南草莓,Fragaria moupinensis,毕节队,211,19590709,贵州省,2600,山脚阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/00902378.jpg,,,,,,,,,, +西南草莓,Fragaria moupinensis,C.W.Wang,65907,19350800,云南省 ,3500,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0299586.jpg,,,,,,,,,, +黄毛草莓,Fragaria nilgerrensis,刘慎谔等,1647,19500724,吉宁省,1710,草地,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0116857.jpg,,,,,,,,,, +黄毛草莓,Fragaria nilgerrensis,李培元,2814,1959/6/9,湖北 ,1500,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0350778.jpg,,,,,,,,,, +黄毛草莓,Fragaria nilgerrensis,张永田等,895,19590429,贵州省,,沟底草地阴湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01853001.jpg,,,,,,,,,, +,Fragaria nubicola,,4107,19180709,山西省,,,,无花有果,https://image.cvh.ac.cn/files/l/TIE/00014788.jpg,,,,,,,,,, +西藏草莓,Fragaria nubicola,58年秦岭队,10391,19580707,陕西省,3000,阴处 路旁 潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01571588.jpg,,,,,,,,,, +西藏草莓,Fragaria nubicola,青藏队植被组,23,19740616,四川省,,沟谷山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810143.jpg,,,,,,,,,, +,Fragaria orientalis,王庆娃,422,19990622,陕西,,山坡林下,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00604737.jpg,,,,,,,,,, +东方草莓,Fragaria orientalis,宁夏中草药组 ,2-0004,1972/5/29,宁夏 ,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0293496.jpg,,,,,,,,,, +东方草莓,Fragaria orientalis,野田光藏,292,1950/7/19,辽东,1400,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0186715.jpg,,,,,,,,,, +五叶草莓,Fragaria pentaphylla,候喜祥,381,1973/4/18,陕西省 ,660,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0397487.jpg,,,,,,,,,, +五叶草莓,Fragaria pentaphylla,蒋兴麟,s.n.,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00903086.jpg,,,,,,,,,, +五叶草莓,Fragaria pentaphylla,"田先华,张力",T934023,19930424,陕西省,1360,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841395.jpg,,,,,,,,,, +,Fragaria tibetica,,,,,,,,,,,,,,,,,,, +野草莓,Fragaria vesca,"J.I.Jeon,H.S.Lee,H.J.Eom, Y.J.Park et B.Liu",SI1541,20100812,四川省,3014,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993955.jpg,,,,,,,,,, +野草莓,Fragaria vesca,T.N. Liou,L. 1105,1930/5/5,河北; HOPEI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076504.jpg,,,,,,,,,, +野草莓,Fragaria vesca,巴山采集队,1823,20080719,陕西省,2300,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851174.jpg,,,,,,,,,, +,Fragariastrum articulatum,,,,,,,,,,,,,,,,,,, +,Fragariastrum biflorum,,,,,,,,,,,,,,,,,,, +,Fragariastrum eriocarpum,,,,,,,,,,,,,,,,,,, +,Frangula henryi,,,,,,,,,,,,,,,,,,, +,Fumaria indica,Surinder Kumar,,19560302,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/032955.jpg,,,,,,,,,, +短梗烟堇,Fumaria vaillantii,A.Witherly,35,18810800,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044259.jpg,,,,,,,,,, +短梗烟堇,Fumaria vaillantii,"关,戴",151,19660527,河南省,700,草中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057146.jpg,,,,,,,,,, +短梗烟堇,Fumaria vaillantii,关克俭,2743,19570808,新疆维吾尔自治区,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02057172.jpg,,,,,,,,,, +,Garcinia acuminata,,,,,,,,,,,,,,,,,,, +少籽藤黄,Garcinia anomala,孙航,周浙昆,俞宏渊,1715,19921128,西藏自治区,700,in foresr,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0406568.jpg,,,,,,,,,, +,Garcinia atroviridis,,,,,,,,,,,,,,,,,,, +云树,Garcinia cowa,"郭永杰, 胡枭剑, 李涟漪, 赵国庆",18CS17120,20180905,云南,972,亚热带常绿阔叶林林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486605.jpg,,,,,,,,,, +云树,Garcinia cowa,C.W.Wang,76916,19360600,云南省 ,1100,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0233477.jpg,,,,,,,,,, +云树,Garcinia cowa,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01580237.jpg,,,,,,,,,, +,Garcinia lanceifolia,,,,,,,,,,,,,,,,,,, +大果藤黄,Garcinia pedunculata,"刘成, 亚吉东",18CS17219,20181120,西藏,776,林缘,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486764.jpg,,,,,,,,,, +大果藤黄,Garcinia pedunculata,云南林学院,s.n.,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01228246.jpg,,,,,,,,,, +,Garcinia pedunculata,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180540,20181102,Mon State,,,Tree,无花无果,https://image.cvh.ac.cn/files/l/KUN/1498536.jpg,,,,,,,,,, +,Garcinia sopsopia,,,,,,,,,,,,,,,,,,, +,Garcinia stipulata,,,,,,,,,,,,,,,,,,, +多花白头树,Garuga floribunda var. gamblei,李延辉,4680,19630803,云南省 ,,低丘疏林,潮湿,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1266884.jpg,,,,,,,,,, +多花白头树,Garuga floribunda var. gamblei,殷建涛,2171,20120323,云南,800,,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030279.jpg,,,,,,,,,, +多花白头树,Garuga floribunda var. gamblei,李泽贤 邢福武,6116,19870725,海南省 ,700,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0216287.jpg,,,,,,,,,, +羽叶白头树,Garuga pinnata,J.H.Lace.,s.n.,19121113,,333,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01136875.jpg,,,,,,,,,, +羽叶白头树,Garuga pinnata,彭玉德,黄雪彦,李金花,451421160524013LY,20160524,广西,134,灌丛,林缘,石灰土,乔木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0186974.jpg,,,,,,,,,, +羽叶白头树,Garuga pinnata,秦仁昌,7290,19280902,广西壮族自治区,1000,In open wood,,无花有果,https://image.cvh.ac.cn/files/l/PE/01136854.jpg,,,,,,,,,, +,Geranium camaense,,,,,,,,,,,,,,,,,,, +丘陵老鹳草,Geranium collinum,泛喜马拉雅植物志巴基斯坦采集队,FPH-0513,20120622,,2543,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004863.jpg,,,,,,,,,, +丘陵老鹳草,Geranium collinum,徐朗然,1555,1989/7/26,新疆维吾尔族自治区,2800,,草本多年生,有花无果,https://image.cvh.ac.cn/files/l/WUK/0475958.jpg,,,,,,,,,, +丘陵老鹳草,Geranium collinum,Hopkinson,810,19300803,青海省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00109431.jpg,,,,,,,,,, +粗根老鹳草,Geranium dahuricum,"郎楷永,李良千,费勇",1408,19820831,四川省,2100~2700,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01133296.jpg,,,,,,,,,, +粗根老鹳草,Geranium dahuricum,苏陕民,389,1965/9/23,新疆维吾尔族自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0292549.jpg,,,,,,,,,, +粗根老鹳草,Geranium dahuricum,李馨,78263,19580801,重庆市,2700,山腰草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00109632.jpg,,,,,,,,,, +五叶老鹳草,Geranium delavayi,孙航等,15020,20100527,四川省,1042,山坡上,河边山坡疏林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02005299.jpg,,,,,,,,,, +五叶老鹳草,Geranium delavayi,戴天伦 唐世平,,19610724,四川,,山坡路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM707400033.jpg,,,,,,,,,, +五叶老鹳草,Geranium delavayi,陈谋,2252,19340500,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0131780.jpg,,,,,,,,,, +,Geranium donianum,高信芬、涂卫国、何海、乔永康,6737,20030831,西藏,4370,高山灌丛下,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0188960.jpg,,,,,,,,,, +长根老鹳草,Geranium donianum,青藏队,751121,19750802,湖北省,4360,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0131832.jpg,,,,,,,,,, +长根老鹳草,Geranium donianum,C.W.Wang,68451,19350800,云南省 ,3600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0225687.jpg,,,,,,,,,, +大花老鹳草,Geranium himalayense,青藏队,76-8439,19760714,西藏自治区,4400,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00148350.jpg,,,,,,,,,, +大花老鹳草,Geranium himalayense,王宪伟,WANG-XW-30,20150802,黑龙江,367.34,季节性积水,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0011581.jpg,,,,,,,,,, +大花老鹳草,Geranium himalayense,齐哈斯花,150927180514069LY,20180520,内蒙古,1478.6,灌丛,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IATM/IATM0000361.jpg,,,,,,,,,, +突节老鹳草,Geranium krameri,王崇书,3832,19590813,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/IFP/07102005x0007.jpg,,,,,,,,,, +突节老鹳草,Geranium krameri,K.Inami,210181,19860808,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932249.jpg,,,,,,,,,, +突节老鹳草,Geranium krameri,付競秋,862,19580920,河南省,500,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/07102005w0003.jpg,,,,,,,,,, +吉隆老鹳草,Geranium lambertii,魏来、郝加琛,15409,20150728,西藏,3977,路边山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0026076.jpg,,,,,,,,,, +,Geranium lambertii,泛喜马拉雅植物志巴基斯坦采集队,FPH-0195,20120619,,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004862.jpg,,,,,,,,,, +尼泊尔老鹳草,Geranium nepalense,H.T.Tsai,60793,19340707,云南省 ,1300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0225885.jpg,,,,,,,,,, +,Geranium nepalense,李巨平,LiJuPing0204,20081009,湖北,1700,亚热带温性针叶林落叶阔叶林带林缘草丛中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1303438.jpg,,,,,,,,,, +,Geranium nepalense,田淑珍,刘克明,SCSB-HN-1456,20080918,湖南,37,生于路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1246575.jpg,,,,,,,,,, +二色老鹳草,Geranium ocellatum,侯元同,郭成勇,侯春丽,201605026-2,20160430,四川,1820.41,荒草地,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0046786.jpg,,,,,,,,,, +二色老鹳草,Geranium ocellatum,T.Tang,1507,19290906,山西省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00434531.jpg,,,,,,,,,, +二色老鹳草,Geranium ocellatum,T.Tang,1507,19290906,山西,5300 ft,rd.side,herb,有花无果,https://image.cvh.ac.cn/files/l/AU/AU086542.jpg,,,,,,,,,, +多花老鹳草,Geranium polyanthes,,25537,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0226005.jpg,,,,,,,,,, +多花老鹳草,Geranium polyanthes,青藏队植被组,2286,19740806,西藏自治区,3040,西南坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538324.jpg,,,,,,,,,, +多花老鹳草,Geranium polyanthes,K.M.Feng,6221,19400801,云南省,3600~4000,草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00149110.jpg,,,,,,,,,, +草地老鹳草,Geranium pratense,任,王,,19830101,吉林,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00023410.jpg,,,,,,,,,, +草地老鹳草,Geranium pratense,,503,19720717,河北省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01237623.jpg,,,,,,,,,, +草地老鹳草,Geranium pratense,,579,19620702,河北,,山坡,草本,无花无果,https://image.cvh.ac.cn/files/l/BJM/0153535.jpg,,,,,,,,,, +甘青老鹳草,Geranium pylzowianum,青藏科考队,12437,19760722,西藏自治区,3600,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02105996.jpg,,,,,,,,,, +甘青老鹳草,Geranium pylzowianum,C.Aedo,2910,18940819,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01348476.jpg,,,,,,,,,, +,Geranium pylzowianum,胡君、王东超、李丽、唐露,SC-a-076-B13,20180808,西藏,,高山栎群落中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609145.jpg,,,,,,,,,, +反瓣老鹳草,Geranium refractum,彭建生,LZ069,20120712,西藏省,4000,,草本,,https://image.cvh.ac.cn/files/l/BNU/0023172.jpg,,,,,,,,,, +,Geranium refractum,D.E.Boufford et al.,41065,20090725,西藏自治区,4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01923648.jpg,,,,,,,,,, +反瓣老鹳草,Geranium refractum,彭德力,张亚洲,王淞伟,吕振宇,王海霞,底远哲,胡晶晶,饶培瑜,XDASDOUT-115,20180723,云南,4378,草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1513696.jpg,,,,,,,,,, +纤细老鹳草,Geranium robertianum,236 四川任务组,1156,19710930,四川省,1200,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01805646.jpg,,,,,,,,,, +汉荭鱼腥草,Geranium robertianum,王可,2942,20120702,河南,435,草地,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1902942.jpg,,,,,,,,,, +汉荭鱼腥草,Geranium robertianum,田代科、肖艳、李春、张成,LS-1907,20130524,湖南省,1349,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0029638.jpg,,,,,,,,,, +鼠掌老鹳草,Geranium sibiricum,巴山采集队,2422,20080728,重庆市,1330,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01861119.jpg,,,,,,,,,, +,Geranium sibiricum,黄学文,乌丽莎,Huangxw1473,20120718,内蒙古,253,水田埂,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1303447.jpg,,,,,,,,,, +鼠掌老鹳草,Geranium sibiricum,关克俭,74193,19740812,江西省,,草地潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00158349.jpg,,,,,,,,,, +紫地榆,Geranium strictipes,E.E.Maire,15,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0226246.jpg,,,,,,,,,, +紫地榆,Geranium strictipes,T.T.Yu,6670,19370701,四川省,2800,under pine forest soil sunny & dry,,有花无果,https://image.cvh.ac.cn/files/l/PE/00158611.jpg,,,,,,,,,, +紫地榆,Geranium strictipes,,10370,19100000,,3333~3667,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00158615.jpg,,,,,,,,,, +宽托叶老鹳草,Geranium wallichianum,王战,1234,19510710,内蒙古自治区,700,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/07102007x0075.jpg,,,,,,,,,, +宽托叶老鹳草,Geranium wallichianum,通化组,109,19590821,吉林省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/07102007x0015.jpg,,,,,,,,,, +宽托叶老鹳草,Geranium wallichianum,"倪志诚,次多.次旦,廖世荣",2002,19810905,西藏自治区,2200,灌丛林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598572.jpg,,,,,,,,,, +,Geranium wilfordii,,HuangZY0010,,河南,880,,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1321587.jpg,,,,,,,,,, +老鹳草,Geranium wilfordii,毕节队,673,19590802,贵州省,2000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00158747.jpg,,,,,,,,,, +老鹳草,Geranium wilfordii,"Y.H.Cho,S.S.Kim,J.H.Kim",WR-140913-303,20140913,,655,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090071.jpg,,,,,,,,,, +萼翅藤,Getonia floribunda,"张挺, 蔡杰, 伊廷双, 潘竟丽, 王欣, 汪小刚",13CS6225,20130405,川圹,,路边山坡,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1371351.jpg,,,,,,,,,, +萼翅藤,Getonia floribunda,张淑红,罗家祥,C340510,20190326,云南,570,,藤本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030643.jpg,,,,,,,,,, +,Getonia floribunda,"郭永杰,胡枭剑,黄孝舸",14CS8112,20140322,云南省,547,热带沟谷雨林,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321909.jpg,,,,,,,,,, +路边青,Geum aleppicum,"简焯坡,应俊生,张清其等",401068,19640812,福建省,600,山坡潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00903940.jpg,,,,,,,,,, +路边青,Geum aleppicum,王作宾,13280,19420727,宁夏回族自治区,1950,山谷路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00903475.jpg,,,,,,,,,, +路边青,Geum aleppicum,沈隽; T. Shen,537,1935/9/9,江苏; KIANGSU,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00077050.jpg,,,,,,,,,, +,Geum japonicum var. chinense,Q.Wang et K.Yao,9113,19990600,四川,,干热河谷山林边,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00604702.jpg,,,,,,,,,, +柔毛路边青,Geum japonicum var. chinense,,129,19870720,湖南省,1100,山沟路旁荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01610730.jpg,,,,,,,,,, +柔毛路边青,Geum japonicum var. chinense,,s.n.,19170107,,,Precise locality not known,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834759.jpg,,,,,,,,,, +大蝎子草,Girardinia diversifolia,邓云飞等,15124,20001002,广西壮族自治区,900,山地山谷肥土,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032490.jpg,,,,,,,,,, +大蝎子草,Girardinia diversifolia,陈家瑞,83004,19830927,北京市,750,山沟、溪边、阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00550951.jpg,,,,,,,,,, +大蝎子草,Girardinia diversifolia,T.Y.A.Yang et al.,14074,20010912,台湾省,1920,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01603328.jpg,,,,,,,,,, +华南皂荚,Gleditsia fera,候宽昭,70686,19330505,海南省 ,320,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0162568.jpg,,,,,,,,,, +华南皂荚,Gleditsia fera,,12154,19601018,江西省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0162574.jpg,,,,,,,,,, +,Gleditsia fera,章祖荫,30165,19500802,安徽,,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00019098.jpg,,,,,,,,,, +滇皂荚,Gleditsia japonica var. delavayi,聂敏祥等,2183,19580417,江西省,0,村后乔木林边,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0126938.jpg,,,,,,,,,, +滇皂荚,Gleditsia japonica var. delavayi,付竟秋,1131,19580925,河南省,1120,沟岸边,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0126963.jpg,,,,,,,,,, +滇皂荚,Gleditsia japonica var. delavayi,北京所横断山队,1288,19810710,云南省,1800,残造常绿阔叶林缘河边偶见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00498855.jpg,,,,,,,,,, +,Gleditsia medogensis,,,,,,,,,,,,,,,,,,, +四裂算盘子,Glochidion ellipticum,农东新、莫连兰、农振欢,451229180426064LY,20180426,广西,307,阔叶林,沟边,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0181277.jpg,,,,,,,,,, +四裂算盘子,Glochidion ellipticum,王启无,78639,19360900,云南省,9500,"mixed woods, foot of hill",乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0186319.jpg,,,,,,,,,, +四裂算盘子,Glochidion ellipticum,湘黔队,2350,19830724,贵州省,740,土山灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0186441.jpg,,,,,,,,,, +,Glochidion helferi,,,,,,,,,,,,,,,,,,, +绒毛算盘子,Glochidion heyneanum,邱炳云,52428,19561001,云南省,2100,箐沟湿润,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0187582.jpg,,,,,,,,,, +绒毛算盘子,Glochidion heyneanum,,5022,19160212,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0314253.jpg,,,,,,,,,, +绒毛算盘子,Glochidion heyneanum,"朱鑫鑫, 王君, 林庶",ZXX191650,20191204,云南,1186,亚热带阔叶林,灌丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1485293.jpg,,,,,,,,,, +厚叶算盘子,Glochidion hirsutum,张红,861,20050609,广西壮族自治区,750,灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01680873.jpg,,,,,,,,,, +厚叶算盘子,Glochidion hirsutum,"李渤生,程树志",1724,19821108,西藏自治区,1200,常绿阔叶林缘时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495087.jpg,,,,,,,,,, +厚叶算盘子,Glochidion hirsutum,"张寿洲,李良千等",1192,20050508,广东省,250~300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01793879.jpg,,,,,,,,,, +长柱算盘子,Glochidion khasicum,G.Forrest,7486,19120000,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0314407.jpg,,,,,,,,,, +,Glochidion khasicum,林秦文,2013-132,20130531,云南省,1600~1750,沟谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02038571.jpg,,,,,,,,,, +长柱算盘子,Glochidion khasicum,,132,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00226549.jpg,,,,,,,,,, +艾胶算盘子,Glochidion lanceolarium,王启无,75892,19360900,云南省 ,1200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0314544.jpg,,,,,,,,,, +里白算盘子,Glochidion lanceolarium,张代贵,152+2,20060830,湖南省,720,林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU14160.jpg,,,,,,,,,, +艾胶算盘子,Glochidion lanceolarium,叶华谷、邢福武,8931A,20030718,澳门,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0314533.jpg,,,,,,,,,, +,Glochidion multiloculare,J.K.Sikdar,832,19751122,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0314573.jpg,,,,,,,,,, +,Glochidion nubigenum,"李渤生,程树志",4533,19830307,西藏自治区,1000,半常绿雨林缘时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495071.jpg,,,,,,,,,, +,Glochidion oblatum,王洪,6471,20040402,云南省,1800,半阴坡次生林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01680883.jpg,,,,,,,,,, +宽果算盘子,Glochidion oblatum,武陵山考察队,1522,19880708,贵州省,700,石灰岩灌丛林下,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0187132.jpg,,,,,,,,,, +宽果算盘子,Glochidion oblatum,,,,,30,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0314577.jpg,,,,,,,,,, +算盘子,Glochidion puberum,J. Linsley Gressitt,1431,Jun-36,江西; S. KIANGSI,600,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00038796.jpg,,,,,,,,,, +算盘子,Glochidion puberum,G.W. Groff,91,1919/6/6,广西; KWANGSI,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00038784.jpg,,,,,,,,,, +算盘子,Glochidion puberum,H.C. Cheo,,1928/9/9,湖北; HUPEH,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00038765.jpg,,,,,,,,,, +,Glochidion thomsonii,陈伟烈,14370,19800819,西藏自治区,1400,次生林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495072.jpg,,,,,,,,,, +,Glochidion zeylanicum var. arunachalense,,,,,,,,,,,,,,,,,,, +,Glycine max,"Lei,C.I.",944,19330821,海南省,,"Abundant;dry level land, sandy soil,meadow garden;semi woody erect",,无花无果,https://image.cvh.ac.cn/files/l/PE/00305458.jpg,,,,,,,,,, +大豆,Glycine max,J.F. Maxwell,,1969/7/7,Thung Brong,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00040696.jpg,,,,,,,,,, +,Glycine max,E.Westphal,9340,19761130,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01952204.jpg,,,,,,,,,, +,Glyptopetalum angulatum,,,,,,,,,,,,,,,,,,, +锥形果,Gomphogyne cissiformis,丁建南,86046,19861015,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/275156064.jpg,,,,,,,,,, +锥形果,Gomphogyne cissiformis,方伟,上官法智,魏志丹,3906,20120918,云南省 ,2552,山谷灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1249498.jpg,,,,,,,,,, +锥形果,Gomphogyne cissiformis,M.K.Li,2149,1939/11/30,云南,2110,,herb twihing,有花无果,https://image.cvh.ac.cn/files/l/WUK/0270897.jpg,,,,,,,,,, +小二仙草,Gonocarpus micranthus,陈功锡、张代贵,LXP-06-0288,20130815,江西,688.6,平地、壤土、沼泽、常见种,陆生、草本、平卧,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00197432.jpg,,,,,,,,,, +小二仙草,Gonocarpus micranthus,田旗、葛斌杰、王正伟,TQ02029,20120613,福建省,726.38,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/0019611.jpg,,,,,,,,,, +小二仙草,Gonocarpus micranthus,张桥蓉,宋鼎,孙旭伟,吕维志,王勒保,ZhangYH029,20190719,贵州,1779,草丛中,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489297.jpg,,,,,,,,,, +糯米团,Gonostegia hirta,乔英林,1344,1959/7/6,四川  ,940,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0406860.jpg,,,,,,,,,, +糯米团,Gonostegia hirta,赵万义,孙键,杨文晟,lxp-13-10008,20130730,江西省宜春市,,山谷(平缓)、腐殖土、疏林、溪边、常见种,,,https://image.cvh.ac.cn/files/l/SYS/SYS00181286.jpg,,,,,,,,,, +糯米团,Gonostegia hirta,"关克俭,王文采",2422,19630820,四川省,750,山坡林边草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078809.jpg,,,,,,,,,, +,Gonostegia pentandra,杨增宏,7519,19931027,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/023880.jpg,,,,,,,,,, +五蕊糯米团,Gonostegia pentandra,叶华谷,刘念,3018,,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0359116.jpg,,,,,,,,,, +狭夜糯米团,Gonostegia pentandra,刘全儒,2018080118,20180801,贵州,924,路边,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0055081.jpg,,,,,,,,,, +,Gonostegia triandra,,,,,,,,,,,,,,,,,,, +咀签,Gouania leptostachya,K.T.Fu,3718,1942/8/25,陕西,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0172128.jpg,,,,,,,,,, +咀签,Gouania leptostachya,吕惠珍、黄宝优、李金花,451023151015002LY,20151015,广西,,灌丛,林缘,石灰土,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0179432.jpg,,,,,,,,,, +咀签,Gouania leptostachya,张代贵,1342,20071027,云南西双版纳,,路边,藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU64112.jpg,,,,,,,,,, +,Grona griffithiana,,,,,,,,,,,,,,,,,,, +假地豆,Grona heterocarpos,"刘恩德,刘振稳,邹娇|,王存花,陈志坚",LED10400,20201212,云南,1334,路边林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1510646.jpg,,,,,,,,,, +,Grona reticulata,,,,,,,,,,,,,,,,,,, +,Grona triflora,,,,,,,,,,,,,,,,,,, +少花米口袋,Gueldenstaedtia verna,朱鑫鑫;王君,ZXX21014,20210304,湖北,56,山地上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1561297.jpg,,,,,,,,,, +,Gueldenstaedtia verna,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-002-B018,20160727,四川,,高山栎群落中,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609264.jpg,,,,,,,,,, +,Gueldenstaedtia verna,植物资源考察队,午009,19830415,河南省,150,路边山脚草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01499338.jpg,,,,,,,,,, +,Guilandina bonduc,,,,,,,,,,,,,,,,,,, +,Gymnaconitum gymnandrum,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0873,20130810,西藏自治区,,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000577.jpg,,,,,,,,,, +,Gymnocladus assamicus,,,,,,,,,,,,,,,,,,, +肥皂荚,Gymnocladus chinensis,李宏庆等,SDP02877,20110616,上海市,,植物园,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0062271.jpg,,,,,,,,,, +肥皂荚,Gymnocladus chinensis,,5576,18850000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01140463.jpg,,,,,,,,,, +肥皂荚,Gymnocladus chinensis,,2279,,浙江,,,,有花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0004930.jpg,,,,,,,,,, +,Gymnosporia acuminata,,,,,,,,,,,,,,,,,,, +,Gymnosporia jinyangensis,胡光万,HGW-00370,20090726,云南省,1843,干垫河谷,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1329728.jpg,,,,,,,,,, +,Gymnosporia rufa,,,,,,,,,,,,,,,,,,, +马蛋果,Gynocardia odorata,无,1121,19880000,云南省 ,0,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0488078.jpg,,,,,,,,,, +马蛋果,Gynocardia odorata,"程树志,李渤生",5014,19830610,西藏自治区,900,半常绿雨林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01598933.jpg,,,,,,,,,, +马蛋果,Gynocardia odorata,毛品一,3570,19540325,云南省,1000,山谷潮湿,,有花有果,https://image.cvh.ac.cn/files/l/PE/01280261.jpg,,,,,,,,,, +绞股蓝,Gynostemma pentaphyllum,张志英,15299,19590915,甘肃省,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02010360.jpg,,,,,,,,,, +绞股蓝,Gynostemma pentaphyllum,刘正宇,184454,20091030,重庆,700,溪边灌丛上,藤本,有花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00023176.jpg,,,,,,,,,, +绞股蓝,Gynostemma pentaphyllum,张代贵,YD2100061,20150711,湖南省湘西州,,灌丛中,藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU40161.jpg,,,,,,,,,, +,Haematocarpus validus,李剑武,4896,20190726,云南,566,热带沟谷雨林,藤本,有花无果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0035670.jpg,,,,,,,,,, +,Haematocarpus validus,,s.n.,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01605960.jpg,,,,,,,,,, +,Haematocarpus validus,,33248,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01071204.jpg,,,,,,,,,, +,Halerpestes cymbalaria,孙阎,SunY338,20160907,黑龙江,168,湿草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1458682.jpg,,,,,,,,,, +水葫芦苗,Halerpestes cymbalaria,刘正宇、张军等,2170018-01,20170405,重庆市,,水湿路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0046884.jpg,,,,,,,,,, +水葫芦苗,Halerpestes cymbalaria,柴达木盆地调查队,91,19550702,青海省,2820,水旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00558598.jpg,,,,,,,,,, +,Halerpestes lancifolia,李晖,卜海涛,边巴,次旦,Lihui-Q-09-36,20090902,西藏,4588,湖滩草甸边缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1232672.jpg,,,,,,,,,, +狭叶碱毛茛,Halerpestes lancifolia,?,A-0012,1986.7.2,新疆维吾尔自治区 ,4180,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00010063.jpg,,,,,,,,,, +狭叶碱毛茛,Halerpestes lancifolia,青藏队,7709,19760607,西藏自治区,4300,河边湿润草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00397632.jpg,,,,,,,,,, +长叶碱毛茛,Halerpestes ruthenica,李文耀,李文耀B2,,辽宁省阜新市,,,,有花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF003623.jpg,,,,,,,,,, +长叶碱毛茛,Halerpestes ruthenica,植物(二)小组,14092,19620821,吉林,,草地,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0046305.jpg,,,,,,,,,, +长叶碱毛茛,Halerpestes ruthenica,徐文斌,杨清理,SHI-2009171,20090814,新疆,1370,高山草原,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232674.jpg,,,,,,,,,, +,Halerpestes sarmentosa,段长虹,Dch0195,20140705,山西省,1213,砂石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031328.jpg,,,,,,,,,, +碱毛茛,Halerpestes sarmentosa,植物(二)小组,14093,19200821,吉林,,草原,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0046297.jpg,,,,,,,,,, +水葫芦苗,Halerpestes sarmentosa,,,195805,山东,,,,无花无果,https://image.cvh.ac.cn/files/l/JSPC/JSPC105028.jpg,,,,,,,,,, +,Halerpestes tricuspis,海,21,19600603,青海,,,,有花无果,https://image.cvh.ac.cn/files/l/LZD/LZD0005882.jpg,,,,,,,,,, +三裂碱毛茛,Halerpestes tricuspis,伍凯,XJ025,20120601,新疆,3931,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0046418.jpg,,,,,,,,,, +,Halerpestes tricuspis,俞德浚,11348,19370520,云南省,3000,河沟草坪溪边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1262293.jpg,,,,,,,,,, +,Halerpestes tricuspis var. heterophylla,,,,,,,,,,,,,,,,,,, +,Halerpestes tricuspis var. intermedia,T.P.Wang,7280,19370719,甘肃省,3500,"on slope,often at shallow water",,有花无果,https://image.cvh.ac.cn/files/l/PE/00428040.jpg,,,,,,,,,, +,Halerpestes tricuspis var. intermedia,中国科学院青甘调查队,783,19590801,青海省,3500,石山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00428049.jpg,,,,,,,,,, +,Halerpestes tricuspis var. intermedia,青藏队,7133,19750730,西藏自治区,4500,河边沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00428062.jpg,,,,,,,,,, +,Halerpestes tricuspis var. variifolia,钟补求,8055,19580531,甘肃省,1590,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00428065.jpg,,,,,,,,,, +,Halerpestes tricuspis var. variifolia,杨竞生,464,19910628,云南,0,草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/365119.jpg,,,,,,,,,, +,Halerpestes tricuspis var. variifolia,Y.Iokawa et al.,40077,20030704,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01942317.jpg,,,,,,,,,, +须弥葛,Haymondia wallichii,李永亮,LiYL1510,20160301,云南,1150,南亚热带季风常绿阔叶林干热河谷,木质藤灌木状,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437660.jpg,,,,,,,,,, +,Hedysarum campylocarpon,"李渤生,李辉,阳艺",13917,19900920,西藏自治区,3500~3700,Betula林下时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01364599.jpg,,,,,,,,,, +曲果岩黄耆,Hedysarum campylocarpon,"张挺, 刘成, 亚吉东",18CS17724,20180917,西藏,3604,路边山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483939.jpg,,,,,,,,,, +,Hedysarum cuonanum,,,,,,,,,,,,,,,,,,, +藏西岩黄耆,Hedysarum falconeri,魏来,郝加琛,15319,20150727,西藏自治区,3977,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0029719.jpg,,,,,,,,,, +,Hedysarum falconeri,"Falconer, H.",441,1864,,,,,,https://image.cvh.ac.cn/files/l/P/P02766217.jpg,,,,,,,,,, +,Hedysarum hirtifoliolum,,,,,,,,,,,,,,,,,,, +,Hedysarum kumaonense,"李渤生,李辉,阳艺",13908,19900920,西藏自治区,3500~3700,Betula林下湿地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01364603.jpg,,,,,,,,,, +,Hedysarum pseudastragalus,青藏队,2356,19810713,云南省,4600,高山草甸,草本,,https://image.cvh.ac.cn/files/l/HITBC/0013126.jpg,,,,,,,,,, +紫云英岩黄耆,Hedysarum pseudastragalus,高云东,黎怀成,郑臣臣,THP-KD-2390,20170713,四川,4500~4700,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244536.jpg,,,,,,,,,, +紫云英岩黄耆,Hedysarum pseudastragalus,徐朗然,37,19810910,四川省,4400,高山干燥阳坡,,无花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0423497.jpg,,,,,,,,,, +,Hedysarum sikkimense,,1210,19340000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00320787.jpg,,,,,,,,,, +,Hedysarum sikkimense,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0251,20080719,西藏,4327,高山灌丛,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1322784.jpg,,,,,,,,,, +,Hedysarum sikkimense,"朱相云,杨永,潘勃",2005100,20050722,云南省,4190,山坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01952421.jpg,,,,,,,,,, +,Hedysarum vicioides,苏涛,黄永江,杨青松,王力,ZhouZK11304,20110917,西藏,3854,高山草坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1322812.jpg,,,,,,,,,, +拟蚕豆叶岩黄芪,Hedysarum vicioides,北师大宁夏队,HL068,2011/7/27,宁夏,,,,,https://image.cvh.ac.cn/files/l/BNU/004991.jpg,,,,,,,,,, +拟蚕豆岩黄蓍,Hedysarum vicioides,刘慎谔,4160,19510907,吉林省,1600,生石缝间及草原中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00320882.jpg,,,,,,,,,, +,Helicia excelsa,A.D.E.Elmer,21346,19230300,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0206128.jpg,,,,,,,,,, +大山龙眼,Helicia grandis,"S.K.Wu,Y.M.Shui et al.",99,19951016,云南省,1700~1900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01868804.jpg,,,,,,,,,, +大山龙眼,Helicia grandis,,2443,19740910,西藏自治区,1780,常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00874718.jpg,,,,,,,,,, +,Helicia grandis,蔡杰,刘成,郭永杰,09CS1061,20090512,云南,1566,林缘路边,,,https://image.cvh.ac.cn/files/l/KUN/1247562.jpg,,,,,,,,,, +深绿山龙眼,Helicia nilagirica,王启无,72916,19360400,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0206415.jpg,,,,,,,,,, +深绿山龙眼,Helicia nilagirica,Y.Tsiang,6630,19300824,贵州省,550,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00300204.jpg,,,,,,,,,, +深绿山龙眼,Helicia nilagirica,无,383,,福建省,0,,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0485258.jpg,,,,,,,,,, +,Helicia vestita,刘心祈,28252,19361126,海南省,,野生 密林中 斜坡 向西,乔木直立,无花无果,https://image.cvh.ac.cn/files/l/PE/00874800.jpg,,,,,,,,,, +浓毛山龙眼,Helicia vestita,A.Henrg,12159,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0206728.jpg,,,,,,,,,, +,Helicia vestita,黄志,39624,19360106,广西壮族自治区,,疏林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/PE/00024012.jpg,,,,,,,,,, +锈毛山龙眼,Helicia vestita var. longipes,孙航等,2300,19921214,西藏自治区,1900,林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0485435.jpg,,,,,,,,,, +马铜铃,Hemsleya graciliflora,复旦,10388,19511101,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01179076.jpg,,,,,,,,,, +,Hemsleya graciliflora,洪欣,王欧文,ZSB377,20131120,安徽,617,路旁,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1303706.jpg,,,,,,,,,, +,Hemsleya graciliflora,祝文志,刘志祥,曹远俊,ShenZH2443,20111203,湖北,800,温带带落叶阔叶林沟谷,攀援草本,,https://image.cvh.ac.cn/files/l/KUN/1250145.jpg,,,,,,,,,, +,Herpetospermum operculatum,,,,,,,,,,,,,,,,,,, +波棱瓜,Herpetospermum pedunculosum,刘志安,22905,19800816,四川省,3200,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0208078.jpg,,,,,,,,,, +波棱瓜,Herpetospermum pedunculosum,俞德俊,9564,19370811,云南省 ,3100,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0208074.jpg,,,,,,,,,, +,Herpetospermum pedunculosum,扎西次仁,ZhongY404,20080905,西藏,2970,路边,山坡灌木丛中,林缘,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1250152.jpg,,,,,,,,,, +沙棘,Hippophae rhamnoides,黄河调查队,978,19540831,陕西省,1260,山坡 阴处 灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01606754.jpg,,,,,,,,,, +沙棘,Hippophae rhamnoides,T.N.Ho et al.,3115,19960918,青海省,2500,Growing forming dense thickets in silty soils just above flood plain margin.,,无花有果,https://image.cvh.ac.cn/files/l/PE/01380784.jpg,,,,,,,,,, +沙棘,Hippophae rhamnoides,PE西藏考察队,7564,20180620,西藏自治区,4110,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332750.jpg,,,,,,,,,, +中国沙棘,Hippophae rhamnoides subsp. sinensis,George Forrest,30808,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01017263.jpg,,,,,,,,,, +中国沙棘,Hippophae rhamnoides subsp. sinensis,Fu Kun-Tsun,3083,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01017285.jpg,,,,,,,,,, +中国沙棘,Hippophae rhamnoides subsp. sinensis,PE西藏考察队,7564,20180620,西藏自治区,4110,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333149.jpg,,,,,,,,,, +中亚沙棘,Hippophae rhamnoides subsp. turkestanica,,5030,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01468403.jpg,,,,,,,,,, +中亚沙棘,Hippophae rhamnoides subsp. turkestanica,,1078,19650630,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00016902.jpg,,,,,,,,,, +中亚沙棘,Hippophae rhamnoides subsp. turkestanica,黄兆华,137,19770525,内蒙古自治区,,草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01574885.jpg,,,,,,,,,, +云南沙棘,Hippophae rhamnoides subsp. yunnanensis,王为义等,27023,19830801,青海省,3700,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/104919.jpg,,,,,,,,,, +云南沙棘,Hippophae rhamnoides subsp. yunnanensis,PE西藏队,PE6789,20170917,西藏自治区,3971,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330390.jpg,,,,,,,,,, +云南沙棘,Hippophae rhamnoides subsp. yunnanensis,,s.n.,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01574927.jpg,,,,,,,,,, +柳叶沙棘,Hippophae salicifolia,张相宜、成瑞瑜、郭泳棂,SC-Z-00-23-031,20200915,四川,3514,高山草原灌丛,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02060421.jpg,,,,,,,,,, +柳叶沙棘,Hippophae salicifolia,S.C.Teng,,19250000,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/118215147.jpg,,,,,,,,,, +柳叶沙棘,Hippophae salicifolia,"卢洋, 刘帆等六人",LiJ799,20110829,西藏,,常绿阔叶林边缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1330923.jpg,,,,,,,,,, +,Hippophae tibetana,D.E.Boufford et al.,40003,20070819,四川省,3485~3520,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01924185.jpg,,,,,,,,,, +,Hippophae tibetana,"李晓东,刘帆,张景博,徐凌翔",LiJ0200,20080913,甘肃省,3448,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1330948.jpg,,,,,,,,,, +,Hippophae tibetana,"陈家辉, 韩希, 王东超等",YangYP-Q-4304,20110910,西藏,,河边灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1330953.jpg,,,,,,,,,, +风车藤,Hiptage benghalensis,"刘恩德,方伟,马文章等",2375,20100329,云南省,987,"Roadside,under clifer,in thickets",,有花有果,https://image.cvh.ac.cn/files/l/PE/02005898.jpg,,,,,,,,,, +风车藤,Hiptage benghalensis,陈念劬,40763,19300426,广东省,,涧边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01168809.jpg,,,,,,,,,, +风筝果,Hiptage benghalensis,梁向日,64530,19340112,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0270624.jpg,,,,,,,,,, +油渣果,Hodgsonia heteroclita,蔡杰,亚吉东,李昌洪,17CS15025,20170330,云南,793,路边绿缘,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1489987.jpg,,,,,,,,,, +,Hodgsonia tsaii,,,,,,,,,,,,,,,,,,, +五月瓜藤,Holboellia angustifolia,宋鼎;张桥蓉;张辽;陈国放,LS170,20180401,贵州,1642,林下,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1552490.jpg,,,,,,,,,, +五月瓜藤,Holboellia angustifolia,杨文光,DT6588,20190419,云南,1300,,木质藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1512840.jpg,,,,,,,,,, +五月瓜藤,Holboellia angustifolia,张代贵、王业清、朱晓琴,2588,20170821,湖北宜昌,1562,针阔混交林下灌丛,藤本,无花有果,https://image.cvh.ac.cn/files/l/JIU/HHE11558.jpg,,,,,,,,,, +,Holboellia angustifolia subsp. obtusa,刘慎谔,21084,19461002,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01029799.jpg,,,,,,,,,, +钝叶五月瓜藤,Holboellia angustifolia subsp. obtusa,高信芬、彭玉兰、高云东、余奇,THP-KD-0053,20170426,四川,1429,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255353.jpg,,,,,,,,,, +,Holboellia angustifolia subsp. obtusa,青藏队,13336,19830823,四川省,2500,沟山坡杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01029797.jpg,,,,,,,,,, +,Holboellia chapaensis,C. W. Wang,88900,19400425,云南省,1000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01029813.jpg,,,,,,,,,, +沙坝八月瓜,Holboellia chapaensis,曲桂龄,2250,1936/8/8,四川省,1280,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0306515.jpg,,,,,,,,,, +沙坝八月瓜,Holboellia chapaensis,潘保强,3-5164,19770417,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI004635.jpg,,,,,,,,,, +八月瓜,Holboellia latifolia,,308,19780801,四川,2000,,藤本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM704700312.jpg,,,,,,,,,, +,Holboellia latifolia,C.S.Chang et al.,20745,20021016,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01578839.jpg,,,,,,,,,, +八月瓜,Holboellia latifolia,Courtois,28367,19210418,安徽省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00313313.jpg,,,,,,,,,, +,Holigarna longifolia,,,,,,,,,,,,,,,,,,, +斯里兰卡天料木,Homalium ceylanicum,郭惠珠,谷悦,1945,20090727,福建,43~201.3,,乔木,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0003171.jpg,,,,,,,,,, +斯里兰卡天料木,Homalium ceylanicum,张文富,沐金海、董金龙,ZhangWF045,20181124,云南,768,热带季节雨林沟谷,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1482345.jpg,,,,,,,,,, +斯里兰卡天料木,Homalium ceylanicum,邓良,10620,1964-5 2,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0081196.jpg,,,,,,,,,, +,Homalium napaulense,M.Suzuki et al.,9455047,19940720,,620,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598031.jpg,,,,,,,,,, +,Homalium napaulense,青藏队,4208,19740811,西藏自治区,800,山坡阔叶林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0489021.jpg,,,,,,,,,, +水柳仔,Homonoia riparia,"张志松,张永田",1735,19600418,贵州省,440,河沟中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00961725.jpg,,,,,,,,,, +水柳仔,Homonoia riparia,川经植,3246,19590528,四川省,,路边沙坝上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00961708.jpg,,,,,,,,,, +水柳仔,Homonoia riparia,,1002,,江苏省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00961706.jpg,,,,,,,,,, +枳椇,Hovenia acerba,王作宾,11431,19390730,湖北省 ,800,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00271609.jpg,,,,,,,,,, +枳椇,Hovenia acerba,袁明,YUANM2015L133,20151206,四川,316,落叶阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1448904.jpg,,,,,,,,,, +枳椇,Hovenia acerba,梁向日,60986,1931/8/29,广东,,,乔木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0110558.jpg,,,,,,,,,, +俅江枳椇?,Hovenia acerba var. kiukiangensis,叶易,德昌-2,1983-8 1,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0074395.jpg,,,,,,,,,, +俅江枳□4?,Hovenia acerba var. kiukiangensis,"李渤生,程树志",1931,19821130,西藏自治区,1800,常绿阔叶林江边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01637086.jpg,,,,,,,,,, +俅江枳椇?,Hovenia acerba var. kiukiangensis,徐朗然,669,1982/10/1,西藏,1700,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0436227.jpg,,,,,,,,,, +北枳□4?,Hovenia dulcis,Kris Bachtell等,75,20020925,山西省,1000,"落叶混交林,富含有机质土壤,阴坡",,无花有果,https://image.cvh.ac.cn/files/l/PE/01853888.jpg,,,,,,,,,, +北枳□4?,Hovenia dulcis,云台山采集队,229,20080923,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02015481.jpg,,,,,,,,,, +北枳椇,Hovenia dulcis,殷华林 H. L. Yin,967016,19961110,安徽,150,东坡林中,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00615420.jpg,,,,,,,,,, +,Huangtcia renifolia,,,,,,,,,,,,,,,,,,, +,Huchimingia piscidia,,,,,,,,,,,,,,,,,,, +,Humulus scandens,S.Y.Hu & P.P.H.But,23880,20020602,香港,,Climbing over Polygonum along stream,,无花无果,https://image.cvh.ac.cn/files/l/PE/00710334.jpg,,,,,,,,,, +葎草,Humulus scandens,兰建林,201809027,20180927,山东,281,山坡,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0047205.jpg,,,,,,,,,, +,Humulus scandens,"张寿洲,王忠涛,杨建芬等",801,20130925,四川省,1300,土生,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021451.jpg,,,,,,,,,, +,Hylodesmum leptopus,刘正宇,181880,20071110,重庆市,600,溪边林缘草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840689.jpg,,,,,,,,,, +细长柄山蚂蝗,Hylodesmum leptopus,张代贵,130912008,20130912,湖南湘西州,,生于山谷密林下或溪边密荫处,亚灌木,有花有果,https://image.cvh.ac.cn/files/l/JIU/JIU23267.jpg,,,,,,,,,, +细长柄山蚂蝗,Hylodesmum leptopus,张代贵,zdg7054,20120423,湖北,1500,山谷密林,亚灌木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU37369.jpg,,,,,,,,,, +,Hylodesmum podocarpum,刘淼等,H40013,20050718,河南省,500,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880730.jpg,,,,,,,,,, +,Hylodesmum podocarpum,"刘慎谔,武占元",1873,19500806,吉林省,930,林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01393849.jpg,,,,,,,,,, +宽卵叶山蚂蝗,Hylodesmum podocarpum,安海成,安137,20170715,吉林,368,阔叶林,落叶半灌木,无花有果,https://image.cvh.ac.cn/files/l/JJF/JJF00048451.jpg,,,,,,,,,, +,Hylodesmum podocarpum subsp. oxyphyllum,王薇等,376,19590718,辽宁省,,杂木林内灌丛间,,有花无果,https://image.cvh.ac.cn/files/l/PE/01444510.jpg,,,,,,,,,, +,Hylodesmum podocarpum subsp. oxyphyllum,王新,331,19920813,甘肃省,1100,山坡林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880745.jpg,,,,,,,,,, +尖叶长柄山蚂蝗,Hylodesmum podocarpum subsp. oxyphyllum,方震东、李磊、谢爱芳、海仙,LDHF-547,20090827,云南省,2063,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000774.jpg,,,,,,,,,, +,Hylodesmum repandum,M.K.Li,2862,19400108,云南省,2200,under mixed forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01444652.jpg,,,,,,,,,, +,Hylodesmum repandum,Carvalho,2675,19861111,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02003309.jpg,,,,,,,,,, +浅波叶长柄山蚂蝗,Hylodesmum repandum,四川植被队,7920,1974-9 2,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0059102.jpg,,,,,,,,,, +,Hylodesmum williamsii,R.C.Ching,30956,19400810,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01880784.jpg,,,,,,,,,, +,Hylodesmum williamsii,"张永田,郞楷永",368,19650716,西藏自治区,2700,灌木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01444695.jpg,,,,,,,,,, +大苞长柄山蚂蝗,Hylodesmum williamsii,"张挺, 刘成, 亚吉东",18CS17629,20180913,西藏,2672,乔松林,密叶红豆杉林路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483680.jpg,,,,,,,,,, +角茴香,Hypecoum erectum,"高德民,王萍,张少华,李兰,辛晓伟,王林,王旭,庞荣,张世尧,刘庆阳",lilan392,20120518,山东,60,温带草甸,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1438062.jpg,,,,,,,,,, +角茴香,Hypecoum erectum,,9,19720504,河北省,,低山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01219769.jpg,,,,,,,,,, +角茴香,Hypecoum erectum,路端正,,20060515,河南,100,,,有花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00036246.jpg,,,,,,,,,, +细果角茴香,Hypecoum leptocarpum,"刘成, 张挺, 李昌洪, 熊晓强",16CS12351,20160605,新疆,436,沙丘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1448198.jpg,,,,,,,,,, +细果角茴香,Hypecoum leptocarpum,杨金祥,1804,19600526,陕西省,1400,农田地内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055911.jpg,,,,,,,,,, +节裂角茴香,Hypecoum leptocarpum,刘全儒,,20050821,北京,,,,,https://image.cvh.ac.cn/files/l/BNU/0010791.jpg,,,,,,,,,, +小花角茴香,Hypecoum parviflorum,刘启新,陈晓亚,87297,19870608,新疆维吾尔自治区 ,850,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00324427.jpg,,,,,,,,,, +小花角茴香,Hypecoum parviflorum,魏来,郝加琛,15217,20150724,西藏自治区,4142,山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0026895.jpg,,,,,,,,,, +小花角茴香,Hypecoum parviflorum,关克俭,1539,19570620,新疆维吾尔自治区,,开垦地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01050509.jpg,,,,,,,,,, +,Hypecoum zhukanum,Southeast Tibet Expedition Team,189,20090814,西藏自治区,3710,along the alpine forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02006075.jpg,,,,,,,,,, +,Hypericum assamicum,,,,,,,,,,,,,,,,,,, +无柄金丝桃,Hypericum augustinii,"税玉民, 陈文红等",72135,20070826,云南,,石灰岩山坡,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1304563.jpg,,,,,,,,,, +无柄金丝桃,Hypericum augustinii,胡文光,11101,19510903,四川省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/HGAS/016888.jpg,,,,,,,,,, +,Hypericum augustinii,H.T.Tsai,51444,19321223,云南省,1500,in thicket,,无花有果,https://image.cvh.ac.cn/files/l/PE/01228372.jpg,,,,,,,,,, +栽秧花,Hypericum beanii,赵文李,BSGLGSly3069,20140208,云南,,云南松林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395073.jpg,,,,,,,,,, +黄花香,Hypericum beanii,李培元,7319,19590817,陕西省,1700,山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0119074.jpg,,,,,,,,,, +栽秧花,Hypericum beanii,F.T.Wang,21327,1930/06/,四川,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0048250.jpg,,,,,,,,,, +美丽金丝桃,Hypericum bellum,PE西藏队,PE6039,20170906,西藏自治区,2935,山谷林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330220.jpg,,,,,,,,,, +美丽金丝桃,Hypericum bellum,云大,136,19560704,云南省,2900,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0231282.jpg,,,,,,,,,, +,Hypericum bellum,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-120-B34,20190816,四川,3386,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260429.jpg,,,,,,,,,, +多蕊金丝桃,Hypericum choisyanum,贵州农学院采集队,,19640000,贵州省,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0024894.jpg,,,,,,,,,, +多蕊金丝桃,Hypericum choisyanum,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201507,20200805,西藏,2571,路边林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508562.jpg,,,,,,,,,, +岐山金丝桃,Hypericum elatoides,郭本兆,3873,19580920,陕西,1080,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0112900.jpg,,,,,,,,,, +岐山金丝桃,Hypericum elatoides,河南省林业厅,1342,19561007,河南省,,山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01229008.jpg,,,,,,,,,, +岐山金丝桃,Hypericum elatoides,,生500,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01229037.jpg,,,,,,,,,, +挺茎遍地金,Hypericum elodeoides,F.Rock,22157,19320605,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0231427.jpg,,,,,,,,,, +挺茎遍地金,Hypericum elodeoides,生科院13级实习小组,lxp-13-0389,20140720,江西省吉安市,,山坡(倾斜)、阳处, ,,https://image.cvh.ac.cn/files/l/SYS/SYS00175907.jpg,,,,,,,,,, +挺茎遍地金,Hypericum elodeoides,吴立宏、王发松,1038,20010727,湖北省,1000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0231413.jpg,,,,,,,,,, +,Hypericum griffithii,,,,,,,,,,,,,,,,,,, +,Hypericum henryi,王洪,6097,20020710,云南省,1200,石灰山山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01599331.jpg,,,,,,,,,, +西南金丝梅,Hypericum henryi,中苏队,1203,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0231613.jpg,,,,,,,,,, +,Hypericum henryi,胡君、李丽、丁俊祥、蔡琴、许奇标,SC-a-039-B06,20170818,四川,3146,高山栎群落中,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273794.jpg,,,,,,,,,, +,Hypericum himalaicum,中甸队,1598,19600828,云南省,3200,黄栎林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01229321.jpg,,,,,,,,,, +,Hypericum himalaicum,青藏队,931,19730729,西藏自治区,1960,山坡路边草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01229331.jpg,,,,,,,,,, +,Hypericum himalaicum,J.I.Jeon et al.,SI1508,20100812,四川省,2784,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932328.jpg,,,,,,,,,, +,Hypericum hookerianum,,Q55,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802630.jpg,,,,,,,,,, +,Hypericum hookerianum,,8895,19600605,西藏自治区,3100,山坡阳处灌丛缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01599341.jpg,,,,,,,,,, +短柱金丝桃,Hypericum hookerianum,杜桂娟等,BX-P001-24,20150731,辽宁省本溪市,368.2,山地,半阴坡,,有花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF009215.jpg,,,,,,,,,, +地耳草,Hypericum japonicum,刘波,潘媛,LIU-B-201855,20170906,黑龙江,101.63,湖滨沼泽地,,无花有果,https://image.cvh.ac.cn/files/l/IGA/IGA0020711.jpg,,,,,,,,,, +地耳草,Hypericum japonicum,张代贵,90807023,20100713,湖南湘西,,枝园内,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU60293.jpg,,,,,,,,,, +地耳草,Hypericum japonicum,李荫昆,900783,19561119,广西,,山坡,草地,路旁,阳处,直立草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0182741.jpg,,,,,,,,,, +,Hypericum kingdonii,青藏队,931,19730729,西藏自治区,1960,山坡,路边,灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0120019.jpg,,,,,,,,,, +察隅遍地金,Hypericum kingdonii,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,960,20121018,西藏,,林缘,草本,无花无果,https://image.cvh.ac.cn/files/l/BJM/0230223.jpg,,,,,,,,,, +,Hypericum latisepalum,尹志坚等,1279,20090715,云南省,3700,Roadsides in forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026285.jpg,,,,,,,,,, +宽萼金丝桃,Hypericum latisepalum,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14488,20161117,西藏,2337,公路边岩石上,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1448943.jpg,,,,,,,,,, +宽萼美丽金丝桃,Hypericum latisepalum,孙航,周浙昆等,655,19921025,西藏自治区,3100,in shrub forest,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0120069.jpg,,,,,,,,,, +,Hypericum ludlowii,"F.Ludlow,G.Sherriff,& G.Taylor",5767,19380707,西藏自治区,3500,in open grassy swamps,,有花无果,https://image.cvh.ac.cn/files/l/PE/01229945.jpg,,,,,,,,,, +,Hypericum ludlowii,"F.Ludlow,G.Sherriff,& J.H.Hicks",19502,19490723,,3333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01229947.jpg,,,,,,,,,, +,Hypericum ludlowii,省药检所,,19611130,云南省,0,,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0120080.jpg,,,,,,,,,, +,Hypericum monanthemum,H.W.Kung,3240,19330725,陕西省,2200,forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01229976.jpg,,,,,,,,,, +纤茎遍地金(四川新纪录),Hypericum monanthemum,鞠文彬,郑臣臣,THP-KD-6606,20170818,四川,3629,草地灌丛,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251813.jpg,,,,,,,,,, +,Hypericum monanthemum,任再金,人1185,19820627,西藏自治区,2200,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597192.jpg,,,,,,,,,, +纤茎遍地金(四川新纪录),Hypericum monanthemum subsp. filicaule,鞠文彬,郑臣臣,THP-KD-6606,20170818,四川省,3629,日乌且到电站草地灌丛,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251814.jpg,,,,,,,,,, +,Hypericum monanthemum subsp. filicaule,林芹,邓向福,791132,19790718,云南省,1450,山坡,阴湿,亚灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0120149.jpg,,,,,,,,,, +纤茎遍地金(四川新纪录),Hypericum monanthemum subsp. filicaule,鞠文彬,郑臣臣,THP-KD-6606,20170818,四川,3629,草地灌丛,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251813.jpg,,,,,,,,,, +,Hypericum patulum,"朱,刘",669,20030703,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01599435.jpg,,,,,,,,,, +金丝梅,Hypericum patulum,陈少卿,1395,19430620,广东省,300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0232446.jpg,,,,,,,,,, +金丝梅,Hypericum patulum,葛斌杰、黄姝博、周雅萍,GBJ09820,20180721,浙江,649,亚热带常绿阔叶林,林缘路边,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0158311.jpg,,,,,,,,,, +云南小连翘,Hypericum petiolulatum,傅坤俊,11151,19570920,陕西,1530,山坡林下,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0173388.jpg,,,,,,,,,, +短柄金丝桃,Hypericum petiolulatum,徐洲锋,赵旻骏,李富贵,上官法智,3769,20120614,云南省 ,2361,forest margin,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1251691.jpg,,,,,,,,,, +短柄小连翅,Hypericum petiolulatum,周洪富,粟和毅,109531,1964/8/7,重庆,1600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0239978.jpg,,,,,,,,,, +,Hypericum podocarpoides,陈亚萍,赵越,张步云,EM1203,20190915,西藏,1912,Among the shrubs,shrub,有花无果,https://image.cvh.ac.cn/files/l/KUN/1519946.jpg,,,,,,,,,, +山栀子,Hypericum pseudohenryi,青藏队,10743,19820927,西藏自治区,290~2900,山坡,路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0120718.jpg,,,,,,,,,, +山栀子,Hypericum pseudohenryi,T.Y.A.Yang,2362,19850811,台湾省,3100~3200,Roadside,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0120715.jpg,,,,,,,,,, +,Hypericum pseudohenryi,H.T.Tsai,59132,19341031,云南省,2000,in woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/01262784.jpg,,,,,,,,,, +匍枝金丝桃,Hypericum reptans,冯国楣,8361,19401011,云南省 ,0,竹箐中,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0120734.jpg,,,,,,,,,, +匍枝金丝桃,Hypericum reptans,孙航,周浙昆等,4847,19930317,西藏自治区,2150,beside forest,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0120823.jpg,,,,,,,,,, +,Hypericum reptans,"吴征镒,费德罗夫,林契夫斯基等",1038,19550514,云南省,1700,路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01262827.jpg,,,,,,,,,, +,Hypericum stellatum,"戴伦鹰,钱重海",鄂632,19510804,湖北省,,溪河山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01263115.jpg,,,,,,,,,, +星萼金丝桃,Hypericum stellatum,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00083020.jpg,,,,,,,,,, +,Hypericum stellatum,孙必兴,620,19730000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01263134.jpg,,,,,,,,,, +,Hypericum uralum,"H.Ohashi,H.Kanai,H.Ohba & Y.Tateishi",770234,19770729,,1600~2100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01348785.jpg,,,,,,,,,, +,Hypericum uralum,李渤生等,13306,19900831,西藏自治区,,长叶松沟谷湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01805002.jpg,,,,,,,,,, +匙萼金丝桃,Hypericum uralum,黄鹏、吉涛,18361,19870515,广西壮族自治区,,草地、路边,草本,有花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI059909.jpg,,,,,,,,,, +遍地金,Hypericum wightianum,第五小组,40017,19600423,江苏省,1340,山坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0121112.jpg,,,,,,,,,, +遍地金,Hypericum wightianum,彭玉德,韦荣昌,李金花,451421150324064LY,20150324,广西,398,阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0186004.jpg,,,,,,,,,, +,Hypericum wightianum,"H.Li,S.X.Yang,R.Li etc.",498,20020824,云南省,2550,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090305.jpg,,,,,,,,,, +夜花藤,Hypserpa nitida,陈焕镛,7490,19290911,香港,,溪边 空旷处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01071191.jpg,,,,,,,,,, +夜花藤,Hypserpa nitida,彭华,蒋蕾,陈亚平等,JL101,20140730,云南省 ,,林缘攀缘树上,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1264078.jpg,,,,,,,,,, +夜花藤,Hypserpa nitida,,5227,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01070964.jpg,,,,,,,,,, +,Indigofera arrecta,,6241,19570217,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00415967.jpg,,,,,,,,,, +深紫木蓝,Indigofera atropurpurea,旷仁平,LXP03-04102,20140707,湖南,,山谷、壤土(红壤)疏林,路旁,陆生,灌木,直立,有花有果,https://image.cvh.ac.cn/files/l/HNNU/HNNU00062668.jpg,,,,,,,,,, +,Indigofera atropurpurea,梁向日,62876,19330904,海南省,,空旷丛林近水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00462329.jpg,,,,,,,,,, +,Indigofera atropurpurea,T.T.Yu,18126,19381025,云南省,1180,among thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/00276246.jpg,,,,,,,,,, +,Indigofera bracteata,青藏队植被组,5115,19750711,西藏自治区,2800,山坡乔松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538795.jpg,,,,,,,,,, +,Indigofera bracteata,K.Stove,422,19781104,,,"Rare at base of hills,stony ground,side of creek bed,running down from hills",,有花无果,https://image.cvh.ac.cn/files/l/PE/00276330.jpg,,,,,,,,,, +苞叶木蓝,Indigofera bracteata,魏来、郝加琛,15372,20150728,西藏,3977,路边山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0025941.jpg,,,,,,,,,, +本氏木蓝,Indigofera bungeana,S.T.Wang,135,,北平,,,,,https://image.cvh.ac.cn/files/l/BNU/006527.jpg,,,,,,,,,, +河北木蓝,Indigofera bungeana,李书馨等,277,19590703,辽宁省,,洞途中 石灰岩山坡石缝间,,有花无果,https://image.cvh.ac.cn/files/l/PE/00276333.jpg,,,,,,,,,, +,Indigofera bungeana,刘铁志,109,19930724,内蒙古,,山坡,灌木,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00605333.jpg,,,,,,,,,, +,Indigofera cylindracea,,Q10,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00276634.jpg,,,,,,,,,, +,Indigofera cylindracea,"张永田,郞楷永",3386,19660514,西藏自治区,2200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00276631.jpg,,,,,,,,,, +,Indigofera dosua,,12276,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0176096.jpg,,,,,,,,,, +,Indigofera dosua,,,19240610,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00276827.jpg,,,,,,,,,, +,Indigofera dosua,"李渤生,李辉,阳艺",13303,19900831,西藏自治区,2400,长叶松 干坡常见灌木,,无花有果,https://image.cvh.ac.cn/files/l/PE/01364609.jpg,,,,,,,,,, +绢毛木蓝,Indigofera hancockii,Hancock,332,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00046702.jpg,,,,,,,,,, +,Indigofera hancockii,,2162,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00276960.jpg,,,,,,,,,, +,Indigofera hancockii,青藏队,13631,19830904,四川省,2300,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00490969.jpg,,,,,,,,,, +,Indigofera hebepetala,西藏队植被组,4804,19750628,西藏自治区,2350,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01538523.jpg,,,,,,,,,, +,Indigofera hebepetala,高信芬,焦瑞芳,夏晨曦,GAOXF-17544,20200809,西藏,2725,,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0264167.jpg,,,,,,,,,, +光叶毛瓣木蓝,Indigofera hebepetala var. glabra,CMTTE,CMTTE392,20120803,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0106155.jpg,,,,,,,,,, +,Indigofera hebepetala var. glabra,高信芬,焦瑞芳,夏晨曦,GAOXF-17544,20200809,西藏,2725,,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0264167.jpg,,,,,,,,,, +,Indigofera heterantha,西藏中草药普查队,1418,19720823,西藏自治区,2300,山麓,,无花有果,https://image.cvh.ac.cn/files/l/PE/01538522.jpg,,,,,,,,,, +异花木蓝,Indigofera heterantha,杨万超,89019,19890716,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0186474.jpg,,,,,,,,,, +,Indigofera heterantha,B.Bartholomew,1590,19840508,,1800,Steep cliffs on the E side of the canyon.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00277011.jpg,,,,,,,,,, +,Indigofera linifolia,"R.J.Cumming,Smith N.",24994,20080324,,,open low woodland on granitic rocky slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038422.jpg,,,,,,,,,, +,Indigofera linifolia,刘成,谷志佳,李昌洪,13CS7990,20131226,云南,1233,路边草丛,半灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1322661.jpg,,,,,,,,,, +单叶木蓝?,Indigofera linifolia,何铸、唐世贵、李伯清,,19580823,四川,,河边岸上,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM707203460.jpg,,,,,,,,,, +木蓝属,Indigofera litoralis,吉林师大生物系,247,19600720,吉林省,,草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00178880.jpg,,,,,,,,,, +滨海木蓝,Indigofera litoralis,"Lei, C.I. Li.",1271,1934/8/8,海南; HAINAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00046548.jpg,,,,,,,,,, +木蓝属,Indigofera litoralis,"Zhu, Chen, Xu,Wang",1527,19990706,陕西省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00462427.jpg,,,,,,,,,, +,Indigofera mairei,D.E.Boufford et al.,37523,20070508,甘肃省,650~870,Heavily disturbed mixed deciduous forest-mostly economically important trees remaining,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804389.jpg,,,,,,,,,, +,Indigofera mairei,PE西藏考察队,7984,20180627,西藏自治区,2864,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334221.jpg,,,,,,,,,, +西南木蓝,Indigofera mairei,朱鑫鑫、陈彬、沈彬、宋以刚,CSH06582,20140729,四川省,3244.36,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0037078.jpg,,,,,,,,,, +,Indigofera nigrescens,,5451,19590819,四川省,,草地阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00277504.jpg,,,,,,,,,, +,Indigofera nigrescens,陈薇,朱香清,马仲辉,SCSB-HN-0652,20061004,湖南,74,平地,灌木,,https://image.cvh.ac.cn/files/l/KUN/1318698.jpg,,,,,,,,,, +黑叶木蓝,Indigofera nigrescens,左大勋,等,22236,19581022,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00385914.jpg,,,,,,,,,, +,Indigofera reticulata,张大才,李双智,杨川等,ZhangDC-07ZX-2067,20101004,云南,2407,云南松林下,灌木,,https://image.cvh.ac.cn/files/l/KUN/1323037.jpg,,,,,,,,,, +杂配藜,Indigofera reticulata,刘宇轩,BJTC008854,20190701,北京市,983,山坡林地,草本,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008854.jpg,,,,,,,,,, +,Indigofera reticulata,"李渤生,李辉,阳艺",13341,19900901,西藏自治区,2400~3100,乔松林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01364627.jpg,,,,,,,,,, +腺毛木蓝,Indigofera scabrida,Henry,9686A,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00046799.jpg,,,,,,,,,, +,Indigofera scabrida,T.T.Yü,6674,19370701,四川省,,Under pine forest soil sunny et dry shrub,,有花无果,https://image.cvh.ac.cn/files/l/PE/00491120.jpg,,,,,,,,,, +腺毛木蓝,Indigofera scabrida,余岩、粟美好,2020058,20200714,四川,3072,路边,,有花有果,https://image.cvh.ac.cn/files/l/SZ/02020058.jpg,,,,,,,,,, +,Indigofera sesquipedalis,,,,,,,,,,,,,,,,,,, +,Indigofera silvestrii,何叶祺,956,19581005,甘肃省,1200,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00178168.jpg,,,,,,,,,, +,Indigofera silvestrii,,8896,19600605,西藏自治区,3100,山坡阳处有刺灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00491144.jpg,,,,,,,,,, +,Indigofera silvestrii,"陈心启,郎楷永",2007,19640428,重庆市,,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00178173.jpg,,,,,,,,,, +茸毛木蓝,Indigofera stachyodes,陶国达,7179,19740100,云南省,,疏林干燥,,无花有果,https://image.cvh.ac.cn/files/l/PE/01710277.jpg,,,,,,,,,, +茸毛木蓝,Indigofera stachyodes,青藏队植被组,4570,19750715,西藏自治区,1850~2400,河谷 山坡阳处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01538801.jpg,,,,,,,,,, +茸毛木蓝,Indigofera stachyodes,李荫昆,338,19560621,广西壮族自治区,,阳处灌木丛中少数散生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00178312.jpg,,,,,,,,,, +木蓝,Indigofera tinctoria,杨仕国等,522632190813626LY,20190813,贵州,722,灌丛、中生、阳性、中温、酸性土、野生植物,灌木,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0098627.jpg,,,,,,,,,, +木蓝,Indigofera tinctoria,詹选怀、彭焱松等,LXP3264,20141119,江西,612,山坡、疏林,灌木,无花有果,https://image.cvh.ac.cn/files/l/LBG/LBG00123975.jpg,,,,,,,,,, +木蓝,Indigofera tinctoria,"Lau, S.K.",542,19321-10,海南; HAINAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00046504.jpg,,,,,,,,,, +三叶木蓝,Indigofera trifoliata,"Tsui, T.M.",583,Jul-32,广东; KWANGTUNG,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00046646.jpg,,,,,,,,,, +三叶木蓝,Indigofera trifoliata,"T.Y. A. Yang,C.H. Chu,C.C. Yen",8073,19970423,台湾,,seaside,,,https://image.cvh.ac.cn/files/l/KUN/1284747.jpg,,,,,,,,,, +三叶木蓝,Indigofera trifoliata,M.Iabbe Delavay,s.n.,18880816,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01515318.jpg,,,,,,,,,, +,Indigofera trita,,,,,,,,,,,,,,,,,,, +藏瓜,Indofevillea khasiana,"李渤生,程树志",5015,19830610,西藏自治区,900,半常绿雨林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670581.jpg,,,,,,,,,, +藏瓜,Indofevillea khasiana,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11958,20161117,西藏,1059,林缘树上,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445138.jpg,,,,,,,,,, +粗毛鸭嘴草,Ischaemum barbatum,肖运峰,860997A,1986-11-,安徽省,85~1,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0115527.jpg,,,,,,,,,, +,Ischaemum barbatum,萧百中,4704,20050912,湖南省,550,山坡 红壤,光:阴,湿度,湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766770.jpg,,,,,,,,,, +,Ischaemum barbatum,深圳考察队,1340,19970923,广东省,160,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01401573.jpg,,,,,,,,,, +田间鸭嘴草,Ischaemum rugosum,Shiu Ying Hu,8310,19691021,香港,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546516.jpg,,,,,,,,,, +田间鸭嘴草,Ischaemum rugosum,华南所,22,19541029,海南岛,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00179138.jpg,,,,,,,,,, +田间鸭嘴草,Ischaemum rugosum,侯元同,郭成勇,侯元免,曹灵杰,20180426026-1,20180426,海南,52,水边湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0049414.jpg,,,,,,,,,, +,Itea chinensis,吴中伦,30024,19570727,陕西,1200,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00019937.jpg,,,,,,,,,, +鼠剌,Itea chinensis,李鸣冈,2724,19391229,云南省 ,2400,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0272822.jpg,,,,,,,,,, +鼠刺,Itea chinensis,,3024,19740902,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01803911.jpg,,,,,,,,,, +大叶鼠刺,Itea macrophylla,"Tsang ,Wai-Tak",595,19270824,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00337387.jpg,,,,,,,,,, +大叶鼠刺,Itea macrophylla,恭城调查组,155,19570812,广西,,山谷,阴处,疏林下,乔木,直立,无花有果,https://image.cvh.ac.cn/files/l/GAC/GAC0010689.jpg,,,,,,,,,, +老鼠刺,Itea macrophylla,,24,19500601,河北,,,,有花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00019930.jpg,,,,,,,,,, +蛾眉鼠刺,Itea omeiensis,张信坚、刘忠成、叶矾、张伟,LXP-13-25647,20180316,湖南,612,山谷、壤土、疏林,陆生、灌木、直立,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00201344.jpg,,,,,,,,,, +矩叶鼠刺,Itea omeiensis,张代贵,20100912403,20100912,湖南湘西州,400,路旁,小乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU13615.jpg,,,,,,,,,, +娥眉鼠刺,Itea omeiensis,李攀,LP0806151,20080601,安徽省,500,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0073290.jpg,,,,,,,,,, +,Itea yunnanensis,,,19580600,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00019926.jpg,,,,,,,,,, +,Itea yunnanensis,肖波,LuJL373,20101009,云南,1700,次灌丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237703.jpg,,,,,,,,,, +滇鼠刺,Itea yunnanensis,吕惠珍、李莹、岑海锋、杨成斌,451031121201106LY,20121201,广西,1498,灌丛,路旁,石灰土,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0189126.jpg,,,,,,,,,, +麻疯树,Jatropha curcas,G.W. Groff or To Kang P'ing,49,1920/5/5,Saigon,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00034758.jpg,,,,,,,,,, +麻疯树,Jatropha curcas,黄培祐,339,Jun-64,海南,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00034733.jpg,,,,,,,,,, +麻疯树,Jatropha curcas,S. Kwoks,244,1916/8/8,Province of Manila,5 e,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00034756.jpg,,,,,,,,,, +胡桃,Juglans regia,张振万等,3450,1.97407e,新疆维吾尔自治区 ,1290,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00001963.jpg,,,,,,,,,, +胡桃,Juglans regia,宋滋圃,38969,1954/7/9,西康,2515,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0175281.jpg,,,,,,,,,, +胡桃,Juglans regia,华东农林部森林调查苏北队,25093,19500826,江苏,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00003438.jpg,,,,,,,,,, +泡核桃,Juglans sigillata,张卢水、陈春林、李家亮,SUZLS02210,20180508,四川,2360,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1560455.jpg,,,,,,,,,, +泡核桃,Juglans sigillata,郭国昌,276,19631014,江苏省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00283277.jpg,,,,,,,,,, +泡核桃,Juglans sigillata,刘正宇,972631-01,19980410,重庆市,670,房前栽培,乔木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0027924.jpg,,,,,,,,,, +伽蓝菜,Kalanchoe ceratophylla,闫丽春,C090211,20190329,云南,570,,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030806.jpg,,,,,,,,,, +伽蓝菜,Kalanchoe ceratophylla,李沛琼,903020,20090326,广东省,40,,草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00027684.jpg,,,,,,,,,, +伽蓝菜,Kalanchoe ceratophylla,灌阳县普查队,450327170418021LY,20170418,广西壮族自治区,252,其它,黄棕壤,多栽培,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00402051.jpg,,,,,,,,,, +匙叶伽蓝菜,Kalanchoe integra,陆文光,20553,19610318,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI006546.jpg,,,,,,,,,, +,Kalanchoe integra,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180559,20181103,Mon State,,,Herb,无花无果,https://image.cvh.ac.cn/files/l/KUN/1498539.jpg,,,,,,,,,, +匙叶伽蓝菜,Kalanchoe integra,闫丽春,C090216,20190329,云南,570,栽培,草本,有花无果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030811.jpg,,,,,,,,,, +糙毛仲彬草,Kengyilia hirsuta,J.L.Yang et al.,901003,19900817,甘肃,2900,,多年生,丛生,无花有果,https://image.cvh.ac.cn/files/l/SAUT/201402239.jpg,,,,,,,,,, +,Kengyilia hirsuta,西植新疆队,758,19780629,新疆维吾尔自治区,3880,山坡岩石,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546554.jpg,,,,,,,,,, +,Kengyilia hirsuta,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546562.jpg,,,,,,,,,, +青海以礼草,Kengyilia kokonorica,J.L.Yang et al.,9202012,19880000,四川,,,多年生,丛生,无花有果,https://image.cvh.ac.cn/files/l/SAUT/201402269.jpg,,,,,,,,,, +青海以礼草,Kengyilia kokonorica,吴玉虎,35170,20050725,青海省,0~4580,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0220872.jpg,,,,,,,,,, +,Kengyilia kokonorica,河西队,270,19670825,甘肃省,2700,克?针茅草原较湿润处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546567.jpg,,,,,,,,,, +,Kengyilia thoroldiana,青藏队,9076,19760815,西藏自治区,5200,山坡砂砾地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546638.jpg,,,,,,,,,, +,Kengyilia thoroldiana,,1693,19620723,青海省,3660,沙垅上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546610.jpg,,,,,,,,,, +梭罗以礼草,Kengyilia thoroldiana,陈世龙,高庆波,张发起等,ChenSL0793,20090824,青海,4200,沙地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402475.jpg,,,,,,,,,, +,Kengyilia thoroldiana var. laxiuscula,,,,,,,,,,,,,,,,,,, +芒 草,Koeleria litvinowii,,65,19550918,,3250,滩河,,有花有果,https://image.cvh.ac.cn/files/l/PE/00547109.jpg,,,,,,,,,, +芒洽草,Koeleria litvinowii,吴玉虎,LJQ-QLS-2008-0073,20080724,青海,3270,高寒杂草草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402480.jpg,,,,,,,,,, +芒 草,Koeleria litvinowii,郭柯,K-181,19900806,青海省,4840,高寒草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099561.jpg,,,,,,,,,, +银洽草,Koeleria litvinowii subsp. argentea,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20846,20200630,西藏,3841,岩壁上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505925.jpg,,,,,,,,,, +,Koeleria macrantha,平利队,347,19590710,陕西省,750,沟旁阴湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437218.jpg,,,,,,,,,, +,Koeleria macrantha,崔友文,736,19490828,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00546814.jpg,,,,,,,,,, +[艹/洽]草,Koeleria macrantha,叶喜阳,QSD1305002,20130514,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0032558.jpg,,,,,,,,,, +栾树,Koelreuteria paniculata,赵福,257,1953/6/10,河北,,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0235295.jpg,,,,,,,,,, +栾树,Koelreuteria paniculata,魏振铎,402,1964/7/3,青海,,,大乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0296892.jpg,,,,,,,,,, +栾树,Koelreuteria paniculata,,s.n.,,辽宁省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01390841.jpg,,,,,,,,,, +,Kummerowia striata,卞福花,杜丽君,孟凡涛等,BianFH-0150,20091006,山东,5,路边,草地,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1323100.jpg,,,,,,,,,, +鸡眼草,Kummerowia striata,毕玉科等,BYK2220,20120629,浙江,10.49,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0048854.jpg,,,,,,,,,, +鸡眼草,Kummerowia striata,吴宝欢,张启彦,黄翠莹,于雷,LXP13-3181,20130728,湖南省株洲市,,山坡、壤土、路旁、常见种,陆生、草本、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00175782.jpg,,,,,,,,,, +,Lablab purpureus,,155,19821014,四川省,,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00304712.jpg,,,,,,,,,, +,Lablab purpureus,Ho-Chang Chow,1574,19340911,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00304775.jpg,,,,,,,,,, +,Lablab purpureus,C.Y.Chiao,2987,19300814,山东省,200,Cultivated in garden,,无花有果,https://image.cvh.ac.cn/files/l/PE/00304749.jpg,,,,,,,,,, +胡芦,Lagenaria siceraria,四川省国营南川药物种植场,11,19570700,贵州,,,,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0079439.jpg,,,,,,,,,, +葫芦,Lagenaria siceraria,钱重海,390,19371021,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0008968.jpg,,,,,,,,,, +葫芦,Lagenaria siceraria,,密725,19720810,北京市,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01205126.jpg,,,,,,,,,, +小果紫薇,Lagerstroemia minuticarpa,刘成;胡枭剑;李迎春;李昌洪,19CS18612,20191030,云南,1965,林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1552694.jpg,,,,,,,,,, +,Lagerstroemia minuticarpa,青藏队,9197,19820809,云南省,1300~1400,山坡 常绿阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01129215.jpg,,,,,,,,,, +,Lagerstroemia minuticarpa,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14476,20161116,西藏,854,公路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445986.jpg,,,,,,,,,, +小花紫薇,Lagerstroemia parviflora,,,19790400,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/072172.jpg,,,,,,,,,, +,Lagerstroemia parviflora,M.Suzuki etc.,9612021,19960116,,150~160,in riverine forest,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1224518.jpg,,,,,,,,,, +小叶紫薇,Lagerstroemia parviflora,柳北区普查队,450205180824027LY,20180824,广西,108,灌丛,路旁,黄棕壤;多;野生,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00426699.jpg,,,,,,,,,, +大花紫薇,Lagerstroemia speciosa,叶国栋,1416,19800618,福建省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0185873.jpg,,,,,,,,,, +大花紫薇,Lagerstroemia speciosa,Noriaki Fukuyama,,19340900,台湾省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00024426.jpg,,,,,,,,,, +大花紫薇,Lagerstroemia speciosa,Noriaki Fukuyama,,19331130,台湾省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00024425.jpg,,,,,,,,,, +厚皮树,Lannea coromandelica,秦新生等,s.n.,20080808,,,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00024902.jpg,,,,,,,,,, +厚皮树,Lannea coromandelica,黄志,41532,19560530,广东省,970,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0422581.jpg,,,,,,,,,, +厚皮树,Lannea coromandelica,刑福武,6390,19950423,海南省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0422636.jpg,,,,,,,,,, +珠芽艾麻,Laportea bulbifera,梁同军,6,20150615,江西省,1500,生于山地林边或林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042764.jpg,,,,,,,,,, +珠芽艾麻,Laportea bulbifera,白水江采集队,2472,20060821,甘肃省,1756,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01849542.jpg,,,,,,,,,, +珠芽艾麻,Laportea bulbifera,,,,,2600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032492.jpg,,,,,,,,,, +艾麻,Laportea cuspidata,青藏队,7455,19820624,云南省,2600,常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00565198.jpg,,,,,,,,,, +艾麻,Laportea cuspidata,普查标本,20647,19590000,河南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00564889.jpg,,,,,,,,,, +艾麻,Laportea cuspidata,巴山采集队,1008,20080709,重庆市,1445,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01861399.jpg,,,,,,,,,, +,Laportea lageensis,,,,,,,,,,,,,,,,,,, +无翅山黧豆,Lathyrus palustris var. exalatus,刘丹辉,170073,20170621,云南省,3086,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0039969.jpg,,,,,,,,,, +无翅山黧豆,Lathyrus palustris var. exalatus,亚吉东,张桥蓉,胡枭剑,17CS16272,20170627,新疆,1788,山坡草丛中,木质藤本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1434576.jpg,,,,,,,,,, +,Lathyrus palustris var. exalatus,蔡杰,13CS7067,20130731,云南,2488,华山松松林下开阔草坡,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1323117.jpg,,,,,,,,,, +,Lathyrus sativus,傅沛云,126,19560915,黑龙江省,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/00306355.jpg,,,,,,,,,, +家山黧豆,Lathyrus sativus,黄土高原采集队,3644,1984/9/18,山西省,1340,,草本外倾,有花有果,https://image.cvh.ac.cn/files/l/WUK/0454981.jpg,,,,,,,,,, +,Lathyrus sativus,贺士元,20611,19780821,河北省,1350,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00306359.jpg,,,,,,,,,, +假楼梯草,Lecanthus peduncularis,张代贵、王业清、朱晓琴,2714,20170822,湖北宜昌,1730,林下灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE11289.jpg,,,,,,,,,, +假楼梯草,Lecanthus peduncularis,武考队,1159,19790903,福建省,800,小山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01861614.jpg,,,,,,,,,, +假楼梯草,Lecanthus peduncularis,FLPH Tibet Expedition,12-1826,20120919,西藏自治区,2300~3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977624.jpg,,,,,,,,,, +角被假楼梯草,Lecanthus petelotii,北京队,896296,19890906,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847019.jpg,,,,,,,,,, +角被假楼梯草,Lecanthus petelotii,PE西藏队,PE6329,20170911,西藏自治区,2445,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293741.jpg,,,,,,,,,, +角被假楼梯草,Lecanthus petelotii,Wuyi Exp.,705,19790822,福建省,800,山坡密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846606.jpg,,,,,,,,,, +角被假楼梯草,Lecanthus petelotii var. corniculata,Wuyi Exp.,705,19790822,福建省,800,山坡密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846606.jpg,,,,,,,,,, +角被假楼梯草,Lecanthus petelotii var. corniculata,税玉民等,10668,19990908,云南省,1800,on stone,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846608.jpg,,,,,,,,,, +角被假楼梯草,Lecanthus petelotii var. corniculata,PE西藏队,PE6329,20170911,西藏自治区,2445,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293740.jpg,,,,,,,,,, +云南假楼梯草,Lecanthus petelotii var. yunnanensis,陈家瑞,83029,19841028,云南省,2100,on rocks,,无花无果,https://image.cvh.ac.cn/files/l/PE/00451916.jpg,,,,,,,,,, +云南假楼梯草,Lecanthus petelotii var. yunnanensis,杨亚滨、曹亚玲等,111,Oct-82,四川省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0017050.jpg,,,,,,,,,, +云南假楼梯草,Lecanthus petelotii var. yunnanensis,李红,533324180914880LY,20180914,云南,2125,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009852.jpg,,,,,,,,,, +圆腺火筒树,Leea aequata,蔡杰,杨雪飞,杨珺,Tial Cung Ling,15CS10775,20151221,曼德勒,864,In the forest.,Tree,无花有果,https://image.cvh.ac.cn/files/l/KUN/1489507.jpg,,,,,,,,,, +圆腺火筒树,Leea aequata,殷建涛,1760,20100824,云南,800,路边林下,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030272.jpg,,,,,,,,,, +圆腺火筒树,Leea aequata,,3028,19231011,,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/106170178.jpg,,,,,,,,,, +,Leea alata,,,,,,,,,,,,,,,,,,, +单羽火筒树,Leea asiatica,"刘恩德,方伟,徐洲锋,上官法智,常学科,席辉辉,李云,廖鸿艳,李成清",4242,20150701,云南省,1245,in thickets,,,https://image.cvh.ac.cn/files/l/KUN/1269103.jpg,,,,,,,,,, +单羽火筒树,Leea asiatica,刘景欣,267,20080916,云南,962,灌丛,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029365.jpg,,,,,,,,,, +单羽火筒树,Leea asiatica,莫瑞玲、黎宁芬,15980,20041010,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0047919.jpg,,,,,,,,,, +密花火筒树,Leea compactiflora,"李渤生,程树志",3239,19821201,西藏自治区,1100,林中缠绕,,无花有果,https://image.cvh.ac.cn/files/l/PE/01810558.jpg,,,,,,,,,, +密花火筒树,Leea compactiflora,C.W.Wang,74836,19360600,云南省 ,1300,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00067794.jpg,,,,,,,,,, +密花火筒树,Leea compactiflora,C.W.Wang,76617,19360500,云南省,1300,foot of hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860623.jpg,,,,,,,,,, +,Leea guineense,,,,,,,,,,,,,,,,,,, +火筒树,Leea indica,海南工作站,1884,19600704,海南,170,"丘陵,山腰,疏林中,阴闭度0.5,坡度1,0 ,坡向西,肥土,湿土,少见",乔木,有果无花,https://image.cvh.ac.cn/files/l/BJM/0152097.jpg,,,,,,,,,, +火筒树,Leea indica,,8698,19630618,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01679381.jpg,,,,,,,,,, +火筒树,Leea indica,曹子余,1016,19581014,贵州省,800,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00687663.jpg,,,,,,,,,, +大叶火筒树,Leea macrophylla,J.F.Maxwell,947,19880730,,450,open thickets marshy plsoe with gro wth bo rdering rivce nelde,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0456484.jpg,,,,,,,,,, +大叶火筒树,Leea macrophylla,青藏队,4117,19740806,西藏自治区,1000,山坡阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00687730.jpg,,,,,,,,,, +大叶火筒树,Leea macrophylla,王正伟,WZW08667,20151103,西藏,964,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0109990.jpg,,,,,,,,,, +李氏禾,Leersia hexandra,,,1916-10-,广东; KWANGTUNG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00014277.jpg,,,,,,,,,, +李氏禾,Leersia hexandra,P.Courtois,16046,1916-09-,安徽省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0115921.jpg,,,,,,,,,, +李氏禾,Leersia hexandra,F.A.McClure,,1928-10-,安徽; ANHWEI,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00014280.jpg,,,,,,,,,, +,Lepisanthes erecta,,,,,,,,,,,,,,,,,,, +,Lepisanthes senegalensis,刘恩德,775,20030512,云南省,1130,河谷林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0555355.jpg,,,,,,,,,, +滇赤才,Lepisanthes senegalensis,黄俞淞,NG226,20090502,广西壮族自治区,230,山地、石灰岩石山山谷、密林、石上(石缝),灌木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00215465.jpg,,,,,,,,,, +,Lepisanthes senegalensis,第九森林调查队,3349,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0503808.jpg,,,,,,,,,, +,Lepisanthes tetraphylla,中苏联合云南考察队,3890,19560614,云南省,800,山谷,阴处,小密林中,小乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0503815.jpg,,,,,,,,,, +四叶赤才,Lepisanthes tetraphylla,中苏队,2766,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0416768.jpg,,,,,,,,,, +四叶赤才,Lepisanthes tetraphylla,J.F.Maxwell,91-341,19910415,,1400,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0416769.jpg,,,,,,,,,, +,Leptodesmia microphylla,,,,,,,,,,,,,,,,,,, +雀儿舌头,Leptopus chinensis,武陵队,141,19880609,湖南省,600,山地 山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01341113.jpg,,,,,,,,,, +雀儿舌头,Leptopus chinensis,张代贵,ZB130516492,20130516,湖北神农架,,路旁,灌木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU25492.jpg,,,,,,,,,, +雀儿舌头,Leptopus chinensis,周彦博、王艺诺,JC-P006-016,,辽宁,425,温性草甸草原类、杂类草,,有花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF010495.jpg,,,,,,,,,, +,Leptopus cordifolius,,,,,,,,,,,,,,,,,,, +,Leptopus emicans,,,,,,,,,,,,,,,,,,, +,Lespedeza cuneata,生态室高原组,15487,19800911,西藏自治区,2250,林缘 草丛常见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495263.jpg,,,,,,,,,, +,Lespedeza cuneata,广西队,104,19550521,广西壮族自治区,75,平地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01996819.jpg,,,,,,,,,, +,Lespedeza cuneata,董安淼,吴从梅,TanCM1648,20131112,江西,150,荒山草地,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1323187.jpg,,,,,,,,,, +,Lespedeza davurica,"Bin-Bin liu,Guang-Ning Liu",3999,20180728,,,"Roadside,on the slopes of broadleaved deciduous forest",,有花无果,https://image.cvh.ac.cn/files/l/PE/02234022.jpg,,,,,,,,,, +,Lespedeza gerardiana,西藏中草药普查队,1417,19720823,,2300,山麓,,无花无果,https://image.cvh.ac.cn/files/l/PE/00378897.jpg,,,,,,,,,, +,Lespedeza hengduanshanensis,,,,,,,,,,,,,,,,,,, +,Lespedeza hispida,,,,,,,,,,,,,,,,,,, +,Lespedeza juncea,赤峰采集队,2-122,20080730,,,沙化草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02012300.jpg,,,,,,,,,, +,Lespedeza pilosa,刘正宇,181050,20071009,,350,山地,杂木林缘灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840588.jpg,,,,,,,,,, +,Lespedeza potaninii,陈全胜,CF-0003-054,20170821,,898,石质坡状草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247035.jpg,,,,,,,,,, +,Lespedeza thunbergii subsp. elliptica,,,,,,,,,,,,,,,,,,, +,Lespedeza thunbergii subsp. formosa,"石硕,梁文达",SZ4261,20141006,,401,山坡阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040913.jpg,,,,,,,,,, +山豆花,Lespedeza tomentosa,巴山采集队,591,20080709,,970,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850850.jpg,,,,,,,,,, +银合欢,Leucaena leucocephala,红水河植物考察队,954,19890506,,300,南盘江边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01965745.jpg,,,,,,,,,, +,Leymus mundus,,,,,,,,,,,,,,,,,,, +单穗赖草,Leymus ramosus,,84-A-327,84.7.6,新疆维吾尔自治区 ,3850,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00049138.jpg,,,,,,,,,, +单穗赖草,Leymus ramosus,,84-A-327,8476,,3850,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20015554.jpg,,,,,,,,,, +单穗赖草,Leymus ramosus,邱娟,冯建菊,LiuJQ0155,20080810,新疆,3087,草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402596.jpg,,,,,,,,,, +赖草,Leymus secalinus,陈家辉,庄会富,刘德团,边巴扎西,YangYP-Q-0086,20080829,西藏,4123,湖边草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402609.jpg,,,,,,,,,, +赖草,Leymus secalinus,,65089,19650625,新疆维吾尔自治区 ,840,农田,直立草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00523756.jpg,,,,,,,,,, +赖草,Leymus secalinus,黄迎新,1097,20150719,吉林省大安市,137,草甸/沼泽化地草甸/草甸土,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0230274.jpg,,,,,,,,,, +纤细赖草,Leymus secalinus var. tenuis,生物研究所西藏考察队,3509,19740713,西藏自治区,4220,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/40338.jpg,,,,,,,,,, +,Limacia oblonga,,212,28-Feb,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0096276.jpg,,,,,,,,,, +垂果亚麻,Linum nutans,张重岭,120,20180615,内蒙古,,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/YAK/YAK0007706.jpg,,,,,,,,,, +,Linum nutans,,196,19140718,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00018547.jpg,,,,,,,,,, +垂果亚麻,Linum nutans,黄河队,7676,1956/8/4,陕西省,,,草本直立,无花有果,https://image.cvh.ac.cn/files/l/WUK/0086819.jpg,,,,,,,,,, +短柱亚麻,Linum pallescens,西植新疆队,1104,1978/7/6,新疆维吾尔族自治区,3950,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0334502.jpg,,,,,,,,,, +短柱亚麻,Linum pallescens,路端正,崔,张,,20010801,青海,3000,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00023489.jpg,,,,,,,,,, +短柱亚麻,Linum pallescens,,2077,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00965161.jpg,,,,,,,,,, +宿根亚麻,Linum perenne,M.Iabbe Delavay,s.n.,18830401,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01969484.jpg,,,,,,,,,, +宿根亚麻,Linum perenne,何叶祺,4114,19590711,甘肃省,2350,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01681144.jpg,,,,,,,,,, +宿根亚麻,Linum perenne,青藏队植被组,38,19740618,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086530.jpg,,,,,,,,,, +亚麻,Linum usitatissimum,,s.n.,,黑龙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00965493.jpg,,,,,,,,,, +亚麻,Linum usitatissimum,刘慎谔,15694,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0225187.jpg,,,,,,,,,, +粘木,Linum usitatissimum,,,19560628,四川,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM707600003.jpg,,,,,,,,,, +荔枝,Litchi chinensis,H.Fenzel,s.n.,,海南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0416838.jpg,,,,,,,,,, +荔枝,Litchi chinensis,F.A.McClure,20053-A,19320423,海南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01859272.jpg,,,,,,,,,, +荔枝,Litchi chinensis,H.H.Chung,2660,19230426,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01391190.jpg,,,,,,,,,, +,Lithocarpus arcaulus,,703,19750717,西藏自治区,2400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815226.jpg,,,,,,,,,, +,Lithocarpus arcaulus,王洪,3976,20000313,云南省,1400,山坡密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604940.jpg,,,,,,,,,, +,Lithocarpus arcaulus,,703,19750717,西藏,2400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815224.jpg,,,,,,,,,, +,Lithocarpus collettii,生态室高原组,14169,19800812,西藏自治区,1600,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491421.jpg,,,,,,,,,, +格林柯,Lithocarpus collettii,禹平华 邱炳云,106,1953/4/18,云南省,2500,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0194600.jpg,,,,,,,,,, +白柯,Lithocarpus dealbatus,,12604,19380924,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01605048.jpg,,,,,,,,,, +白柯,Lithocarpus dealbatus,王启无,84125,0,海南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/461018.jpg,,,,,,,,,, +白柯,Lithocarpus dealbatus,王启无,63014,,云南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00202384.jpg,,,,,,,,,, +泥椎柯,Lithocarpus fenestratus,"李渤生,程树志等",4108,19830415,西藏自治区,1800,常绿阔叶林中常见乔木,,无花无果,https://image.cvh.ac.cn/files/l/PE/01815156.jpg,,,,,,,,,, +泥柯,Lithocarpus fenestratus,陈少卿,10720,1956-10-,海南省,1050,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0037351.jpg,,,,,,,,,, +泥柯,Lithocarpus fenestratus,夏群,455,,海南,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00048809.jpg,,,,,,,,,, +,Lithocarpus grandifolius,,21976,19330216,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005089.jpg,,,,,,,,,, +,Lithocarpus grandifolius,"李渤生,程树志等",2440,19830102,西藏自治区,1300,江边丛林中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01658491.jpg,,,,,,,,,, +,Lithocarpus grandifolius,780工程,1025,19781213,云南省,1200,林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046032.jpg,,,,,,,,,, +,Lithocarpus kamengii,,,,,,,,,,,,,,,,,,, +,Lithocarpus laoticus,陶德定,291,19730921,云南省,2100,山谷常绿阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01801864.jpg,,,,,,,,,, +老挝柯,Lithocarpus laoticus,李建强,陈丽,张景博,2057,20081009,云南,1700,山坡、林中普遍,乔木,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0181005.jpg,,,,,,,,,, +,Lithocarpus listeri,"李渤生,程树志",3971,19830408,西藏自治区,950,半常绿雨林中常见乔木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491443.jpg,,,,,,,,,, +厚叶柯,Lithocarpus pachyphyllus,张帆 冯贵祥 冯思,16080714,20160807,湖南省,1680,阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI050773.jpg,,,,,,,,,, +厚叶柯,Lithocarpus pachyphyllus,,949,,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0039153.jpg,,,,,,,,,, +,Lithocarpus pachyphyllus,"程树志,李渤生",1459,19821010,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491399.jpg,,,,,,,,,, +石柯,Lithocarpus pasania,张代贵、周辉,15052405,20150524,湖南省,300,林下,乔木,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI053216.jpg,,,,,,,,,, +石柯,Lithocarpus pasania,邱炳云,78-1349,19780506,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00366055.jpg,,,,,,,,,, +石柯,Lithocarpus pasania,,,20100118,云南省,583,季雨林,,,https://image.cvh.ac.cn/files/l/KUN/1280071.jpg,,,,,,,,,, +潞西柯,Lithocarpus thomsonii,,,,西藏省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0042662.jpg,,,,,,,,,, +潞西柯,Lithocarpus thomsonii,甘胜南,4,19941024,广西,,,,无花有果,https://image.cvh.ac.cn/files/l/GAC/GAC0011511.jpg,,,,,,,,,, +截果柯,Lithocarpus truncatus,魏志平,3743,1958/11/6,四川省,1100,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0405263.jpg,,,,,,,,,, +截果柯,Lithocarpus truncatus,C.W.Wang,74779,19360000,云南省 ,1030,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00198814.jpg,,,,,,,,,, +截果柯,Lithocarpus truncatus,邓良,8249,19581029,广东省,800,山地山谷疏林,,有果无花,https://image.cvh.ac.cn/files/l/KUN/503285.jpg,,,,,,,,,, +麻子柯,Lithocarpus variolosus,北京植物所横断山队,536,19810607,云南省,2500~2700,华山松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869940.jpg,,,,,,,,,, +麻子壳柯,Lithocarpus variolosus,赵儒林,105,19640604,贵州省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/062034015.jpg,,,,,,,,,, +麻子壳柯,Lithocarpus variolosus,,10221,,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0074417.jpg,,,,,,,,,, +,Lithocarpus wrayi,,,,,,,,,,,,,,,,,,, +木果柯,Lithocarpus xylocarpus,"张挺, 刘成, 郭永杰|85, 陈正发",10CS2631,20101118,云南,,常绿阔叶林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395303.jpg,,,,,,,,,, +,Lithocarpus xylocarpus,C. Wang,36009,1933/12/30,,,,,,https://image.cvh.ac.cn/files/l/NY/00248584.jpg,,,,,,,,,, +木果柯,Lithocarpus xylocarpus,C.W.Wang,76820,,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00203416.jpg,,,,,,,,,, +藏扇穗茅,Littledalea tibetica,伍典汉,6791,1974-8 2,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0155687.jpg,,,,,,,,,, +藏扇穗茅,Littledalea tibetica,吴磊,QH0184,20130728,西藏,4600~4700,,,,https://image.cvh.ac.cn/files/l/BNU/0014328.jpg,,,,,,,,,, +藏扇穗茅,Littledalea tibetica,河西队,56,19670803,甘肃省,2700,干山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00572217.jpg,,,,,,,,,, +黑麦草,Lolium perenne,徐月邦,10278,0,广西壮族自治区,0,栽培平原,,有花无果,https://image.cvh.ac.cn/files/l/KUN/386227.jpg,,,,,,,,,, +黑麦草,Lolium perenne,W.Heise,,20080619,,200,hay meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089185.jpg,,,,,,,,,, +黑麦草,Lolium perenne,西藏中草药普查队,3579,19720705,西藏自治区,3100,水边、田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00037247.jpg,,,,,,,,,, +,Lophopetalum wightianum,,,,,,,,,,,,,,,,,,, +檵木,Loropetalum chinense,陈少卿,17793,19610405,海南省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0329568.jpg,,,,,,,,,, +檵木,Loropetalum chinense,李盛兰,GanQL747,20150903,湖北,635,路边山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445613.jpg,,,,,,,,,, +檵木,Loropetalum chinense,翁若芬,13688,19910528,上海市,,,,无花无果,https://image.cvh.ac.cn/files/l/SHM/SHM0019811.jpg,,,,,,,,,, +百脉根,Lotus corniculatus,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.X.Liu",653,20021106,,2530,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100842.jpg,,,,,,,,,, +水龙,Ludwigia adscendens,张寿文、周至明、陈斌,360830140723635LY,20140723,江西,135,草丛,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0004670.jpg,,,,,,,,,, +水龙,Ludwigia adscendens,,s.n.,,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01153012.jpg,,,,,,,,,, +水龙,Ludwigia adscendens,陈家瑞,93099 1/2,19931120,云南省,,池塘浮生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841312.jpg,,,,,,,,,, +草龙,Ludwigia hyssopifolia,深圳考察队,1936,19971008,广东省,10,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01401025.jpg,,,,,,,,,, +草龙,Ludwigia hyssopifolia,H.Migo.,s.n.,19351103,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01153275.jpg,,,,,,,,,, +草龙,Ludwigia hyssopifolia,华南队,766,19890518,广西壮族自治区,450,山地,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991583.jpg,,,,,,,,,, +毛草龙,Ludwigia octovalvis,Courtois,12200,19150912,安徽省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00074081.jpg,,,,,,,,,, +毛草龙,Ludwigia octovalvis,丁广奇,余连,6413,1980/11/11,广东,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0426902.jpg,,,,,,,,,, +毛草龙,Ludwigia octovalvis,黄治平,罗正远,蒋卓然,2182,1930/10/7,四川,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0315109.jpg,,,,,,,,,, +卵叶丁香蓼,Ludwigia ovalis,D.E.Boufford S.Mitsuta & H.Nishimura,19961,19770928,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01162132.jpg,,,,,,,,,, +卵叶丁香蓼,Ludwigia ovalis,方建新,TangXS0678,20131110,安徽,134,水库湿地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1438178.jpg,,,,,,,,,, +卵叶丁香蓼,Ludwigia ovalis,休五,2168,19590619,安徽省,300,田边水沟里,,无花无果,https://image.cvh.ac.cn/files/l/PE/01162115.jpg,,,,,,,,,, +,Ludwigia perennis,罗忠华,刘长铭等,JD104,20071114,云南,1166,农田中,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1247344.jpg,,,,,,,,,, +细花丁香蓼,Ludwigia perennis,昆明植物所,3998,,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0222099.jpg,,,,,,,,,, +细花丁香蓼,Ludwigia perennis,岳俊三等,3485,19630824,江西省,,沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01162350.jpg,,,,,,,,,, +广东丝瓜,Luffa acutangula,刘正宇、张军等,RQHZ06190,20150908,重庆市,197,路旁,藤本,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0134060.jpg,,,,,,,,,, +广东丝瓜,Luffa acutangula,陇西山考察队,2280,19910918,福建省,1200~750,林缘 沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01548375.jpg,,,,,,,,,, +广东丝瓜,Luffa acutangula,Shiu Ying Hu,9409,19700201,香港,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01179269.jpg,,,,,,,,,, +,Luffa aegyptiaca,"朱鑫鑫, 王金丹, 林庶, 刘晴, 梁俊生",ZXX18381,20180921,河南,710,亚热带常绿阔叶林,农家院落,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1444867.jpg,,,,,,,,,, +,Luffa aegyptiaca,"蔡杰, 秦少发",15CS11341,20150922,云南,1181,路边人工种植,草质藤本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1447477.jpg,,,,,,,,,, +丝瓜,Luffa aegyptiaca,苏钰岚、黄金全,450331200824046LY,20200824,广西,~232,草丛,路旁,黄棕壤;一般,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00436060.jpg,,,,,,,,,, +,Lupinus polyphyllus,"Ernest C.Twisselmann & Donald J.Bedell,Eben McMill",18905,19720807,,2621,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309139.jpg,,,,,,,,,, +,Lythrum salicaria,谭策铭,董安淼等,TCM09017,20091006,江西,156,常绿阔叶林山脚草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1246904.jpg,,,,,,,,,, +,Lythrum salicaria,黄学文,乌丽莎,Huangxw1417,20120717,内蒙古,253,水田,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1303501.jpg,,,,,,,,,, +千屈菜,Lythrum salicaria,李书春,,19500805,安徽,,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00027717.jpg,,,,,,,,,, +中平树,Macaranga denticulata,中苏队,417,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0331540.jpg,,,,,,,,,, +中平树,Macaranga denticulata,叶华谷,203,19850416,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0331477.jpg,,,,,,,,,, +中平树,Macaranga denticulata,科考队,1614,19740805,西藏自治区,1300,常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01538539.jpg,,,,,,,,,, +,Macaranga gamblei,,,,,,,,,,,,,,,,,,, +印度血桐,Macaranga indica,毛品一,3022,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0331719.jpg,,,,,,,,,, +印度血桐,Macaranga indica,,9802,19590000,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/014761.jpg,,,,,,,,,, +,Macaranga indica,,Q2-3,19730801,广西壮族自治区,700,砂石岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01315739.jpg,,,,,,,,,, +泡腺血桐,Macaranga pustulata,刘慎谔,22767,19461111,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0331797.jpg,,,,,,,,,, +泡腺血桐,Macaranga pustulata,"朱鑫鑫, 王君, 林庶",ZXX191835,20191214,云南,1341,亚热带针阔混交林,林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484148.jpg,,,,,,,,,, +,Macaranga pustulata,"李渤生,程树志",1645,19821102,西藏自治区,1600,常绿阔叶林中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01494877.jpg,,,,,,,,,, +,Macaranga sampsonii,黄茂先,110556,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01381641.jpg,,,,,,,,,, +,Macaranga sampsonii,"张寿洲,李良千等",2022,20050527,广东省,0~50,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239657.jpg,,,,,,,,,, +鼎湖血桐,Macaranga sampsonii,,,,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00034300.jpg,,,,,,,,,, +,Maclura amboinensis,,,,,,,,,,,,,,,,,,, +构棘,Maclura cochinchinensis,,55,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0391690.jpg,,,,,,,,,, +构棘,Maclura cochinchinensis,黄汉东,鲍大川,232,20140527,湖北,550,山坡 水边,缠绕木本,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0139682.jpg,,,,,,,,,, +构棘,Maclura cochinchinensis,李剑武,4397,20150812,云南,1200,公路边,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028940.jpg,,,,,,,,,, +柘藤,Maclura fruticosa,曹岚,360829130719445LY,20130719,江西,294,阔叶林,灌木,无花无果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0004243.jpg,,,,,,,,,, +柘藤,Maclura fruticosa,李学根,203790,19590623,湖南省,478,山地,灌丛,沙土,散生,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00269090.jpg,,,,,,,,,, +柘藤,Maclura fruticosa,方鼎,3-1405,19771013,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI052244.jpg,,,,,,,,,, +阔叶十大功劳,Mahonia bealei,姜如碧,22B,1989/4/13,贵州省,2060,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0093227.jpg,,,,,,,,,, +阔叶十大功劳,Mahonia bealei,C. W. Wang,86066,19391227,云南省 ,1000,open steep slope,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00357886.jpg,,,,,,,,,, +阔叶十大功劳,Mahonia bealei,廖文波、刘忠成、吴保欢、赵万义等,LXP-13-17006,20140915,湖南省长沙市,,山坡、壤土(黄壤)、疏林、常见种,灌木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00173053.jpg,,,,,,,,,, +察隅十大功劳,Mahonia calamicaulis subsp. kingdon-wardiana,西藏生物所植物资源队,3579,19830816,西藏自治区,2400,"山坡,常绿阔叶林下",,无花无果,https://image.cvh.ac.cn/files/l/PE/01034503.jpg,,,,,,,,,, +密叶十大功劳,Mahonia conferta,普查队,307,19751023,西藏,2100,灌木林中,灌木,有花有果,https://image.cvh.ac.cn/files/l/SM/SM704801075.jpg,,,,,,,,,, +密叶十大功劳,Mahonia conferta,顾哲明,Sep-81,19811025,四川省,1700,林缘,灌木,无花无果,https://image.cvh.ac.cn/files/l/SM/SM704801069.jpg,,,,,,,,,, +密叶十大功劳,Mahonia conferta,熊耀国,5297,19470000,江西省,0,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00013887.jpg,,,,,,,,,, +长柱十大功劳,Mahonia duclouxiana,李治基,3533,1956/12/9,广西省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0093237.jpg,,,,,,,,,, +长柱十大功劳,Mahonia duclouxiana,黔南队,220,19590405,贵州省,800,"山谷,路旁,疏林中",,无花无果,https://image.cvh.ac.cn/files/l/PE/01034629.jpg,,,,,,,,,, +长柱十大功劳,Mahonia duclouxiana,戴天伦,104654,1958/9/10,四川省,1500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0093250.jpg,,,,,,,,,, +,Mahonia napaulensis,"Yü, Tse-tsun",22999,17-Nov-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00133219.jpg,,,,,,,,,, +尼泊尔十大功劳,Mahonia napaulensis,T. T. Tu,22999,19381117,云南省,1700,margin of forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01034777.jpg,,,,,,,,,, +尼泊尔十大功劳,Mahonia napaulensis,青藏队,75,19751108,西藏自治区,2050,杂木林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01034800.jpg,,,,,,,,,, +峨眉十大功劳,Mahonia polyodonta,包维楷等,2696,1994-7 1,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0028457.jpg,,,,,,,,,, +多齿十大功劳,Mahonia polyodonta,贵州药物调查队,19,19580816,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/GZTM/0012012.jpg,,,,,,,,,, +峨眉十大功劳,Mahonia polyodonta,汪前生,2866,19851023,湖南省,310,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0201021.jpg,,,,,,,,,, +野桐,Mallotus nepalensis,贾彧,522325190612455LY,20190612,贵州,1438,阔叶林、旱生、阳性、中温、野生酸性土植物,乔木,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0094726.jpg,,,,,,,,,, +,Mallotus nepalensis,席先银等,516,19830000,湖南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00988789.jpg,,,,,,,,,, +,Mallotus nepalensis,"郭柯,郑度",P-011,19890910,,700,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072623.jpg,,,,,,,,,, +绒毛野桐,Mallotus oreophilus,于胜祥、张晓霞、周洪志、等,451031130801046LY,20130801,广西,1650,林缘,路旁,红壤,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0193505.jpg,,,,,,,,,, +绒毛野桐,Mallotus oreophilus,黄宝优、胡雪阳、姚积军,451223130329024LY,20130329,广西壮族自治区,961,灌丛,林缘,石灰土,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0103065.jpg,,,,,,,,,, +绒毛野桐,Mallotus oreophilus,王树嘉,1133,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0308828.jpg,,,,,,,,,, +白楸,Mallotus paniculatus,G.W. Groff or To Kang P'ing,114,1920/5/5,Kep,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00033870.jpg,,,,,,,,,, +白楸,Mallotus paniculatus,"李永康,黄德富",8470,19801025,贵州省,380~500,山谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/00988871.jpg,,,,,,,,,, +白楸,Mallotus paniculatus,"张寿洲,李良千等",5389,20051221,广东省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239540.jpg,,,,,,,,,, +,Mallotus philippensis,白水江采集队,4352,20070506,甘肃,820,山坡杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827884.jpg,,,,,,,,,, +粗糠柴,Mallotus philippensis,张代贵,ZB130724447,20130724,湖南湘西州,,山谷,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU25447.jpg,,,,,,,,,, +,Mallotus philippensis,白水江采集队,4352,20070506,甘肃省,820,山坡杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827884.jpg,,,,,,,,,, +石岩枫,Mallotus repandus,"Lau,S.K.",158,19320625,海南省,,Rare;dry gentle slope;sandy soil;thicket,,无花有果,https://image.cvh.ac.cn/files/l/PE/01381897.jpg,,,,,,,,,, +石岚枫,Mallotus repandus,于子文,522325181207106LY,20181207,贵州,1067.1,灌丛、中生、阳性、中温、野生酸性土植物,灌木,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0094729.jpg,,,,,,,,,, +石岩枫,Mallotus repandus,,10292,8-Jun,"Island of Negros, Pr",,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00033778.jpg,,,,,,,,,, +圆叶野桐,Mallotus roxburghianus,,492,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0325016.jpg,,,,,,,,,, +圆叶野桐,Mallotus roxburghianus,C.W.Wang,74852,19360600,云南省 ,1300,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0325015.jpg,,,,,,,,,, +,Mallotus roxburghianus,王启无,74852,19360600,云南省,1300,Bushes in ravine,,有花无果,https://image.cvh.ac.cn/files/l/PE/01007039.jpg,,,,,,,,,, +四果野桐,Mallotus tetracoccus,,520,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0325302.jpg,,,,,,,,,, +,Mallotus tetracoccus,王启无,74711,19360600,云南省,1000,Woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01007076.jpg,,,,,,,,,, +,Mallotus tetracoccus,"李渤生,程树志",4889,19830528,西藏自治区,1200~850,江边Ficus林中常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077224.jpg,,,,,,,,,, +山荆子,Malus baccata,付坤俊,18094,1982/10/8,山西,1520,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0429442.jpg,,,,,,,,,, +山荆子,Malus baccata,黄土队(晋),4637,1984/10/12,北京,570,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0454728.jpg,,,,,,,,,, +,Malus baccata,毕国昌,436,19600624,安徽,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00014643.jpg,,,,,,,,,, +,Malus bhutanica,乐天宇,5781,,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00927493.jpg,,,,,,,,,, +湖北海棠,Malus hupehensis,覃海宁等,19768,20080816,江苏省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01959494.jpg,,,,,,,,,, +湖北海棠,Malus hupehensis,张代贵,90731021,20090731,湖北宜昌,150,山坡,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU56158.jpg,,,,,,,,,, +湖北海棠,Malus hupehensis,刘正宇,2034457,20030803,贵州,1200,灌丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0067203.jpg,,,,,,,,,, +,Malus pumila,Alice B.Russell,1181,19940408,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01807435.jpg,,,,,,,,,, +苹果,Malus pumila,"牛玉璐, 高彦飞",NiuYL617,20170924,河北,550,温带低山山前荒地,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1452500.jpg,,,,,,,,,, +苹果,Malus pumila,任,79086,19790000,西藏,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00027994.jpg,,,,,,,,,, +丽江山荆子,Malus rockii,64级第三实习组刘传根等,1965521,19740500,江西省,600,山地,乔木,无花有果,https://image.cvh.ac.cn/files/l/JXAU/JXAU0003998.jpg,,,,,,,,,, +丽江山荆子,Malus rockii,Joseph F. Rock,24905,Jun-32,云南; YUNNAN,"10,0",,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00074294.jpg,,,,,,,,,, +丽江山荆子,Malus rockii,尹志坚等,2419,20090917,云南省,2850,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902144.jpg,,,,,,,,,, +,Malus sikkimensis,F.Ludlow et al.,16231,19490514,,2833,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01702100.jpg,,,,,,,,,, +锡金海棠,Malus sikkimensis,任宪威,79057,19860800,西藏,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00028039.jpg,,,,,,,,,, +,Malus sikkimensis,云南德钦县农业局,s.n.,19750525,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00953752.jpg,,,,,,,,,, +海棠花,Malus spectabilis,侯元同,侯元免,宋晓琳,王祥荣,张锦洋,20190425078-1,20190425,山东,45,绿化带,乔木,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0049770.jpg,,,,,,,,,, +海棠花,Malus spectabilis,俞德俊,56,19550622,陕西省,,苹果园内栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/01811600.jpg,,,,,,,,,, +海棠花,Malus spectabilis,秦官,87,19640718,新疆维吾尔自治区,980,山坡,平原,草地,路旁,,有果无花,https://image.cvh.ac.cn/files/l/KUN/662683.jpg,,,,,,,,,, +重瓣粉海棠,Malus spectabilis var. riversii,朱鑫鑫;王君;王金丹,ZXX19160,20190331,河南,88,亚热带落叶阔叶林,菜地边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1481451.jpg,,,,,,,,,, +,Malus spectabilis var. riversii,F.Ludlow & G.Sherriff,9518,19430525,西藏自治区,4000,In gardens romnd Lhasa,,有花无果,https://image.cvh.ac.cn/files/l/PE/01702112.jpg,,,,,,,,,, +重瓣粉红海棠花,Malus spectabilis var. riversii,,38,1957/4/27,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0014498.jpg,,,,,,,,,, +花叶海棠,Malus transitoria,W.Y. Hsia,H. 3562,1933/6/6,陕西; SHENSI,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00074311.jpg,,,,,,,,,, +花叶海棠,Malus transitoria,齐威,LJQ-2008-GN-323,20081008,甘肃,,路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1314020.jpg,,,,,,,,,, +花叶海棠,Malus transitoria,李馨,74662,1957/9/12,四川,,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0252899.jpg,,,,,,,,,, +少毛花叶海棠,Malus transitoria var. glabrescens,任宪威,781129,19780000,西藏,3500,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00028064.jpg,,,,,,,,,, +少毛花叶海棠,Malus transitoria var. glabrescens,谭策铭、易桂花、陈富飞,兰州005,20030921,,1700,栽培,落叶灌至小乔木,,https://image.cvh.ac.cn/files/l/SZG/SZG00026156.jpg,,,,,,,,,, +少毛花叶海棠,Malus transitoria var. glabrescens,郭本兆,25400,19810627,青海,2200,河谷,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019958.jpg,,,,,,,,,, +滇池海棠,Malus yunnanensis,中美联合鄂西考察队,1771,19800924,湖北省,2200,"Below road on steep,shale slope",,无花有果,https://image.cvh.ac.cn/files/l/PE/00997035.jpg,,,,,,,,,, +滇池海棠,Malus yunnanensis,王作宾,18715,19630401,陕西省,1500,山坡林内,,有花无果,https://image.cvh.ac.cn/files/l/KUN/662772.jpg,,,,,,,,,, +,Malus yunnanensis,毕国昌,117,19640721,黑龙江,2900,,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00014659.jpg,,,,,,,,,, +滇池海棠川鄂变种,Malus yunnanensis var. veitchii,高云东,邓亨宁,黎怀成,THP-KD-4688,20170809,四川,2700-2800,,乔木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241797.jpg,,,,,,,,,, +川鄂滇池海棠,Malus yunnanensis var. veitchii,熊济华 周子林,92535,1957/8/10,四川 ,2100,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0317333.jpg,,,,,,,,,, +川鄂滇池海棠,Malus yunnanensis var. veitchii,张志英,5127,19590618,甘肃省,2070,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00065418.jpg,,,,,,,,,, +杧果,Mangifera indica,,1063,,江苏省,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00075541.jpg,,,,,,,,,, +杧果,Mangifera indica,刘英光,600,19650524,浙江省,,,乔木,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ023320.jpg,,,,,,,,,, +芒果,Mangifera indica,M.K.Li,1629,1939/10/26,云南,980,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0244412.jpg,,,,,,,,,, +林生芒果,Mangifera sylvatica,B.Bartholomew,1615,19840509,,1370,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01248850.jpg,,,,,,,,,, +林生芒果,Mangifera sylvatica,郭铭,s.n.,19821012,云南省,620,平地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01628983.jpg,,,,,,,,,, +林生杧果,Mangifera sylvatica,中国科学院植物研究所昆明工作站,577,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0422752.jpg,,,,,,,,,, +木薯,Manihot esculenta,安顺队,359,19590723,贵州省,500,路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01007098.jpg,,,,,,,,,, +木薯,Manihot esculenta,236-6队,1597,19741218,海南省,760,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01680390.jpg,,,,,,,,,, +木薯,Manihot esculenta,北京队,893057,19891115,广西壮族自治区,,土坡种植,,有花无果,https://image.cvh.ac.cn/files/l/PE/01315762.jpg,,,,,,,,,, +水丝麻,Maoutia puya,安顺队,243,19590710,贵州省,900,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846331.jpg,,,,,,,,,, +水丝麻,Maoutia puya,邓朝义,DengCY118,20131110,贵州,892,石山灌丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1554523.jpg,,,,,,,,,, +水丝麻,Maoutia puya,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00451964.jpg,,,,,,,,,, +,Mastersia assamica,孙航,周浙昆等,1542,19921124,,900,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0617094.jpg,,,,,,,,,, +,Meconopsis autumnalis,PE西藏考察队,7869,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332835.jpg,,,,,,,,,, +,Meconopsis baileyi,"倪志诚,汪永泽,次多,次旦",3044,19820819,西藏自治区,3800,冷杉林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02051126.jpg,,,,,,,,,, +,Meconopsis bella,PE西藏考察队,7847,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332169.jpg,,,,,,,,,, +,Meconopsis dhwojii,北京植物所横断山队,359,19810601,云南省,2900,铁杉林缘石边常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050905.jpg,,,,,,,,,, +毛盘绿绒蒿,Meconopsis discigera,邓坤梅,陈永瑞等,81-1446,19810804,云南省,3500,高山,流石滩,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0492957.jpg,,,,,,,,,, +毛盘绿绒蒿,Meconopsis discigera,H.Ohashi et al.,775131,19770816,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01268216.jpg,,,,,,,,,, +毛盘绿绒蒿,Meconopsis discigera,青藏队,5864,19750625,西藏自治区,4300,山坡岩石隙,,无花有果,https://image.cvh.ac.cn/files/l/PE/01050926.jpg,,,,,,,,,, +,Meconopsis elongata,,,,,,,,,,,,,,,,,,, +,Meconopsis gakyidiana,,,,,,,,,,,,,,,,,,, +细梗绿绒蒿,Meconopsis gracilipes,不祥,1480,19720826,西藏自治区,3340,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/74348.jpg,,,,,,,,,, +大花绿绒蒿,Meconopsis grandis,生态室高原组,10306,19800624,西藏自治区,3600,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494310.jpg,,,,,,,,,, +大花绿绒蒿,Meconopsis grandis,付筱,雷嘉卿,周雨阳,LJQ-A-013-040,20200921,四川,3382,路边,阳生或中生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02065709.jpg,,,,,,,,,, +大花绿绒蒿,Meconopsis grandis,张林、李星月、张晓严,1-154,20180612,西藏,3355,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023683.jpg,,,,,,,,,, +,Meconopsis horridula subsp. drukyulensis,,,,,,,,,,,,,,,,,,, +滇西绿绒蒿,Meconopsis impedita,杨竞生,90-061,1990-09-,四川省,3800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0132312.jpg,,,,,,,,,, +滇西绿绒蒿,Meconopsis impedita,,14234,19170700,云南省 ,1000~1100,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0493132.jpg,,,,,,,,,, +滇西绿绒蒿,Meconopsis impedita,George Forrest,30100,19310000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050863.jpg,,,,,,,,,, +长叶绿绒蒿,Meconopsis lancifolia,蔡希陶,53937,,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0493303.jpg,,,,,,,,,, +,Meconopsis lancifolia,陈文允,于文涛,黄永江,CYH218,20100915,四川,4650,高山草甸,乱石缝,流石滩,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1234845.jpg,,,,,,,,,, +长叶绿绒蒿,Meconopsis lancifolia,郭本兆,9361,19710702,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01051437.jpg,,,,,,,,,, +,Meconopsis lhasaensis,PE西藏队,PE5223,20170826,西藏自治区,4270,林下灌层,,有花有果,https://image.cvh.ac.cn/files/l/PE/02309710.jpg,,,,,,,,,, +琴叶绿绒蒿,Meconopsis lyrata,J.K.Rock,22994,19320506,云南省 ,1350,alpine meadows,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0493377.jpg,,,,,,,,,, +琴叶绿绒蒿,Meconopsis lyrata,K.M.Feng,6213,19400801,云南省,3800~4200,岩坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01051484.jpg,,,,,,,,,, +琴叶绿绒蒿,Meconopsis lyrata,西藏中草药普查队,617,19720629,西藏自治区,3650,山谷灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01051485.jpg,,,,,,,,,, +,Meconopsis merakensis,,,,,,,,,,,,,,,,,,, +锥花绿绒蒿,Meconopsis paniculata,,75-778,19750722,云南省,3300~3800,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01051508.jpg,,,,,,,,,, +,Meconopsis paniculata,何华杰,张书东,81402,20080924,西藏,4400,林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1234850.jpg,,,,,,,,,, +锥花绿绒蒿,Meconopsis paniculata,吴征镒等,75-635,19750705,西藏自治区,3850,高山水沟边大石边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01051521.jpg,,,,,,,,,, +吉隆绿绒蒿,Meconopsis pinnatifolia,青藏队,5779,19750620,西藏自治区,4200,山坡岩石隙,,有花有果,https://image.cvh.ac.cn/files/l/PE/01051523.jpg,,,,,,,,,, +吉隆绿绒蒿,Meconopsis pinnatifolia,魏来、郝加琛,15333,20150728,西藏,3977,路边山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0025918.jpg,,,,,,,,,, +,Meconopsis polygonoides,吴征缢、陈书坤、杜庆、庐树林,75-636,19750705,西藏自治区,3850,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/53681.jpg,,,,,,,,,, +,Meconopsis prainiana,,,,,,,,,,,,,,,,,,, +,Meconopsis prattii,,,,,,,,,,,,,,,,,,, +,Meconopsis primulina,,,,,,,,,,,,,,,,,,, +,Meconopsis pseudointegrifolia,高连明,严丽君,吴之坤,GLM-123790,20120708,西藏自治区,4952,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1242441.jpg,,,,,,,,,, +,Meconopsis pseudointegrifolia,"李新辉, 杨涛, 温昌润",Lixh24,20170908,西藏,5071,高山流石滩,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1457370.jpg,,,,,,,,,, +,Meconopsis pseudointegrifolia,杨福生,s.n.,20090716,云南省,3887,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052452.jpg,,,,,,,,,, +,Meconopsis quintuplinervia,白根录,田先华,刘成,TianXH070,20100916,陕西,3460,太白落叶松林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1234879.jpg,,,,,,,,,, +五脉绿绒蒿,Meconopsis quintuplinervia,王作宾,14451,1951/7/19,宁夏,3600,,草木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0029280.jpg,,,,,,,,,, +五脉绿绒蒿,Meconopsis quintuplinervia,相金祥,814,19590615,陕西省,3150,山坡荒地内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02051222.jpg,,,,,,,,,, +,Meconopsis rudis,G.Forrest,30117,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050930.jpg,,,,,,,,,, +,Meconopsis rudis,"郎楷永,李良千,费勇",1134,19820818,四川省,3800~4350,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050957.jpg,,,,,,,,,, +,Meconopsis rudis,北京所横断山队,2141,19810728,云南省,3900~4250,高山草甸中湿地及高山流石坡流水处附近常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050949.jpg,,,,,,,,,, +,Meconopsis sherriffii,"Ludlow, Francis & Sherriff, George",2723,,,,,,,https://image.cvh.ac.cn/files/l/E/E00060537.jpg,,,,,,,,,, +单叶绿绒蒿,Meconopsis simplicifolia,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19293,20200626,西藏,4559,高山流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489326.jpg,,,,,,,,,, +单叶绿绒蒿,Meconopsis simplicifolia,PE西藏考察队,7073,20180610,西藏自治区,4161,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332834.jpg,,,,,,,,,, +单叶绿绒蒿,Meconopsis simplicifolia,王为义,52,19780708,青海省,3800,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0219380.jpg,,,,,,,,,, +,Meconopsis simplicifolia subsp. grandiflora,,,,,,,,,,,,,,,,,,, +,Meconopsis sinuata,,,,,,,,,,,,,,,,,,, +,Meconopsis smithiana,"Handel-Mazzetti, Heinrich",9254,3-Jul-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00060620.jpg,,,,,,,,,, +贡山绿绒蒿,Meconopsis smithiana,F.T.Wang,22029,19300000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00324234.jpg,,,,,,,,,, +贡山绿绒蒿,Meconopsis smithiana,李红、和仕波,533324180825420LY,20180825,云南,3521.2,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009478.jpg,,,,,,,,,, +,Meconopsis sulphurea,,,,,,,,,,,,,,,,,,, +,Meconopsis superba,Dungboo,280,16 June 1884,,,,,,https://image.cvh.ac.cn/files/l/E/E00060629.jpg,,,,,,,,,, +,Meconopsis tibetica,PE西藏考察队,7650,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332688.jpg,,,,,,,,,, +紫花绿绒蒿,Meconopsis violacea,西藏中草药普查队,286,19720616,西藏自治区,3200,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/29992.jpg,,,,,,,,,, +紫花绿绒蒿,Meconopsis violacea,刘博,迪巢树德,王晓艳等,NJ58,20180727,云南,2800-3000,高山草甸,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00042899.jpg,,,,,,,,,, +,Meconopsis × kongboensis,,,,,,,,,,,,,,,,,,, +青海苜蓿,Medicago archiducis-nicolai,杨永昌,1178,19650715,,4250,陛地灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01539220.jpg,,,,,,,,,, +,Medicago edgeworthii,PE西藏考察队,7779,20180624,,3105,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333770.jpg,,,,,,,,,, +野苜蓿,Medicago falcata,陈全胜,CF14-4292,20180705,,1180,河漫滩草甸,杂类草,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246070.jpg,,,,,,,,,, +天蓝苜蓿,Medicago lupulina,PE西藏考察队,7530,20180619,,3270,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333771.jpg,,,,,,,,,, +小苜蓿,Medicago minima,Szollat Gyorgy,s.n.,20060615,,110~115,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01917862.jpg,,,,,,,,,, +,Medicago polymorpha,Richard R.Halse,8776,20130428,,4,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02012312.jpg,,,,,,,,,, +,Medicago ruthenica,段长虹,Dch0155,20140630,,1539,土石山,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043552.jpg,,,,,,,,,, +,Medicago sativa,PE西藏队,PE5009,20170824,,3522,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330352.jpg,,,,,,,,,, +,Medinilla arunachalica,,,,,,,,,,,,,,,,,,, +锥序酸脚杆,Medinilla himalayana,,2823,19740830,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01803016.jpg,,,,,,,,,, +锥序酸脚杆,Medinilla himalayana,王启无,78287,19360900,云南省,1900,Valley dense forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00783359.jpg,,,,,,,,,, +锥序酸脚杆,Medinilla himalayana,荔波队,1320,19590720,贵州省,,山脚水旁阴处岩石上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00783354.jpg,,,,,,,,,, +矮酸脚杆,Medinilla nana,生态室高原组,11317,19800727,西藏自治区,1900,树干上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932563.jpg,,,,,,,,,, +矮酸脚杆,Medinilla nana,中越考察队,324,19641210,,1240~1995,附生,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0156657.jpg,,,,,,,,,, +矮酸脚杆,Medinilla nana,"王启无,刘瑛",85241,19391203,云南省,1300,under dense woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/00783361.jpg,,,,,,,,,, +沙巴酸脚杆,Medinilla petelotii,"刘成, 亚吉东",18CS17272,20181124,西藏,1637,次生林林缘,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487469.jpg,,,,,,,,,, +,Medinilla petelotii,,LuJL201,,云南,,,灌木,,https://image.cvh.ac.cn/files/l/KUN/1304005.jpg,,,,,,,,,, +沙巴酸脚杆,Medinilla petelotii,"李渤生,程树志等",4503,19830506,西藏自治区,1500,Alnus树上时见藤本,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932562.jpg,,,,,,,,,, +,Medinilla rubicunda,青藏队,74-4405,19740820,西藏自治区,1750,山坡阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00783423.jpg,,,,,,,,,, +墨脱酸脚杆,Medinilla rubicunda,M.K.Li,1731,19390607,云南省 ,1350,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0224277.jpg,,,,,,,,,, +,Medinilla rubicunda,George Forrest,24505,19240000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00783413.jpg,,,,,,,,,, +,Meizotropis buteiformis,,,,,,,,,,,,,,,,,,, +大野牡丹,Melastoma imbricatum,东兴市普查队,450681190627037LY,20190627,广西,384,季雨林,沟边,一般野生,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00417992.jpg,,,,,,,,,, +大野牡丹,Melastoma imbricatum,中苏队,3413,,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0245515.jpg,,,,,,,,,, +,Melastoma imbricatum,税玉民,陈文红等,71532,20070708,云南,1020,山坡路边,灌木,,https://image.cvh.ac.cn/files/l/KUN/1304048.jpg,,,,,,,,,, +,Melastoma malabathricum,李宏庆,陈纪云,王双等,LiHQ0273,20091023,福建,469,常绿阔叶林林下水沟边,灌木,,https://image.cvh.ac.cn/files/l/KUN/1304082.jpg,,,,,,,,,, +野牡丹,Melastoma malabathricum,W.T.Tsang,175,19270728,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0224497.jpg,,,,,,,,,, +野牡丹,Melastoma malabathricum,"龙春林, 杨珺, 雷启义, 李东平, 周悦, 罗斌圣",LONGCL-112,20160707,贵州,341,亚热带常绿阔叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1453537.jpg,,,,,,,,,, +展毛野牡丹,Melastoma normale,王封才,47,20040413,贵州省,600,杂木林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01584618.jpg,,,,,,,,,, +展毛野牡丹,Melastoma normale,蔡希陶,55123,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0157192.jpg,,,,,,,,,, +,Melastoma normale,李小杰,LiXJ452,20130705,四川,484,山坡荒地,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1304088.jpg,,,,,,,,,, +小野臭草,Melica onoei,,s.n.,19140700,湖南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00037132.jpg,,,,,,,,,, +广序臭草,Melica onoei,"朱鑫鑫, 林庶, 胡梦杰",ZXX191202,20190911,云南,2547,亚热带针叶林,林缘,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1485779.jpg,,,,,,,,,, +小野臭草,Melica onoei,"Nam Sook Lee,Duck Hee Lee,Sung Hee Yeau",67,19821009,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01674969.jpg,,,,,,,,,, +,Melica persica subsp. canescens,,,,,,,,,,,,,,,,,,, +勃氏臭草,Melica przewalskyi,太白队,56224,19560716,陕西省,2700,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246509.jpg,,,,,,,,,, +勃氏臭草,Melica przewalskyi,汤宗孝,1667,19830809,四川省,3000,路旁岩边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00572633.jpg,,,,,,,,,, +勃氏臭草,Melica przewalskyi,孙学刚等,20010445,20010820,甘肃省,2600,山坡灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855711.jpg,,,,,,,,,, +臭草,Melica scabrosa,王雷,朱雅娟,黄振英,Beijing-huang-ss1-0004,20070731,北京,796,路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402715.jpg,,,,,,,,,, +臭草,Melica scabrosa,"蒲拴莲, 李茂文",M010,20170705,内蒙古,1082,北温带;农田旁,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1448259.jpg,,,,,,,,,, +臭草,Melica scabrosa,田先华,王梅荣,TianXH168,20110628,陕西,595,落叶阔叶林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402722.jpg,,,,,,,,,, +,Melica schuetzeana,青藏队植被组,9613,19760820,西藏自治区,3800,山坡草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00036609.jpg,,,,,,,,,, +藏东臭草,Melica schuetzeana,,12347,????0917,湖南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0231171.jpg,,,,,,,,,, +藏东臭草,Melica schuetzeana,魏振铎,22459,19810823,青海省,2500,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0231169.jpg,,,,,,,,,, +,Melica secunda,"张永田,郞楷永",256,19650708,西藏自治区,3300,山坡上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00036611.jpg,,,,,,,,,, +偏穗臭草,Melica secunda,黄河队,4078,19560524,甘肃省,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/593974.jpg,,,,,,,,,, +偏穗臭草,Melica secunda,郭本兆 王为义,21463,19770712,四川省,3300,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/152270.jpg,,,,,,,,,, +抱草,Melica virgata,Y.Y.Pai,135,1933/8/8,Mongolia,1700,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00016045.jpg,,,,,,,,,, +抱草,Melica virgata,"王文中,田景全,秦绍英",875,19560904,山西省,1750,草地 阳处 路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01827319.jpg,,,,,,,,,, +抱草,Melica virgata,Harry Smith,645,19210815,河北省,800,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00037442.jpg,,,,,,,,,, +白花草木樨,Melilotus albus,PE西藏队,PE5028,20170824,,3522,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02330358.jpg,,,,,,,,,, +,Melilotus indicus,PE西藏队,PE5002,20170824,,3522,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02309794.jpg,,,,,,,,,, +黄香草木樨,Melilotus officinalis,PE西藏考察队,7008,20180608,,3892,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333782.jpg,,,,,,,,,, +狭叶泡花树,Meliosma angustifolia,,s.n.,,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805382.jpg,,,,,,,,,, +狭叶泡花树,Meliosma angustifolia,W.T.Tsang,29840,19400518,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0410970.jpg,,,,,,,,,, +狭叶泡花树,Meliosma angustifolia,"郭永杰, 王雨华, 杨立新, 李姗",18CS16945,20180513,西藏,712,公路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484254.jpg,,,,,,,,,, +南亚泡花树,Meliosma arnottiana,俞德俊,3258,,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0411055.jpg,,,,,,,,,, +南亚泡花树,Meliosma arnottiana,北京队,894044,19890522,广西壮族自治区,1450,密林山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999359.jpg,,,,,,,,,, +南亚泡花树,Meliosma arnottiana,聂敏祥、户而恒、宋学德、余水良,8774,12965060,江西省,840,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0411054.jpg,,,,,,,,,, +泡花树,Meliosma cuneifolia,赵良成,5676,19730725,西藏,2700,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00058692.jpg,,,,,,,,,, +泡花树,Meliosma cuneifolia,廖文波、向秋云、赵万义、吴保欢、宋睿飞、赵世珉、潘嘉文、王晓阳,LXP-13-15462,20140520,江西省吉安市,,山坡、壤土、路旁, ,,https://image.cvh.ac.cn/files/l/SYS/SYS00171111.jpg,,,,,,,,,, +泡花树,Meliosma cuneifolia,谭洪田 吴诗霞 田径,200907057,20090701,湖南,,,,,https://image.cvh.ac.cn/files/l/CSFI/CSFI052706.jpg,,,,,,,,,, +,Meliosma dilleniifolia,E.H.Wilson,3035,19070700,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01378592.jpg,,,,,,,,,, +重齿泡花树,Meliosma dilleniifolia,青藏队,8692,19820727,云南省,2600,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820412.jpg,,,,,,,,,, +泡花树,Meliosma dilleniifolia,刘全儒、孟世勇,QL242,20070808,陕西,1460,山坡,乔木,,https://image.cvh.ac.cn/files/l/BNU/0011390.jpg,,,,,,,,,, +灌丛泡花树,Meliosma dumicola,吊罗山队,3298,19541225,海南省,900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0426356.jpg,,,,,,,,,, +灌丛泡花树,Meliosma dumicola,生态室高原组,11475,19800729,西藏自治区,1800,常绿林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01495394.jpg,,,,,,,,,, +灌丛泡花树,Meliosma dumicola,中苏队,2411,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0426358.jpg,,,,,,,,,, +细花泡花树,Meliosma parviflora,植被组,999,19820800,湖北省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0059631.jpg,,,,,,,,,, +细花泡花树,Meliosma parviflora,臧德奎,121232,20120806,山东省,194,,落叶乔木,无花有果,https://image.cvh.ac.cn/files/l/SDFGR/SDF1007432.jpg,,,,,,,,,, +细花泡花树,Meliosma parviflora,刘正宇、张军等,2051114-01,20050312,重庆,890,林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0097763.jpg,,,,,,,,,, +羽叶泡花树,Meliosma pinnata,第5小队,1057,19590704,陕西省,1600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/69507.jpg,,,,,,,,,, +,Meliosma pinnata,青藏队植被组,2986,19740901,西藏自治区,1040,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839703.jpg,,,,,,,,,, +羽叶泡花树,Meliosma pinnata,"tsang ,w.t",21040,19320701,广东省,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/103166068.jpg,,,,,,,,,, +单叶泡花树,Meliosma simplicifolia,陈少卿,12775,19570626,广西壮族自治区,680~790,丘陵山谷,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0195754.jpg,,,,,,,,,, +单叶泡花树,Meliosma simplicifolia,G.Forrest,9823,19130000,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0427052.jpg,,,,,,,,,, +单叶泡花树,Meliosma simplicifolia,Tsang and Fung L.U.,338,19290620,海南省,,Beside the larg stream half-way up the moutain,,有花无果,https://image.cvh.ac.cn/files/l/PE/01641342.jpg,,,,,,,,,, +西南泡花树,Meliosma thomsonii,陈钱根,L8514188,19870625,浙江省,150,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612793.jpg,,,,,,,,,, +西南泡花树,Meliosma thomsonii,北京队,894428,19890524,广西壮族自治区,600,草沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999331.jpg,,,,,,,,,, +西南泡花树,Meliosma thomsonii,青藏队,9475,19820822,云南,1500,山坡常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820377.jpg,,,,,,,,,, +云南泡花树,Meliosma yunnanensis,蒋英,11963,19330912,云南省 ,2500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0427291.jpg,,,,,,,,,, +云南泡花树,Meliosma yunnanensis,方文培,16614,19410512,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0427319.jpg,,,,,,,,,, +云南泡花树,Meliosma yunnanensis,瓦西里列夫,351,1959/10/24,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0134113.jpg,,,,,,,,,, +天蓝谷木,Memecylon caeruleum,普华琼,B0029,20060324,云南省,570,综合二区,,,https://image.cvh.ac.cn/files/l/HITBC/0020762.jpg,,,,,,,,,, +天蓝谷木,Memecylon caeruleum,岩罕香、张文富,ZhangWF177,20210213,云南,712,热带季节雨林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1509606.jpg,,,,,,,,,, +,Memecylon caeruleum,吴征镒,,19650000,,0,,灌木 ,无花无果,https://image.cvh.ac.cn/files/l/KUN/0157513.jpg,,,,,,,,,, +,Memecylon celastrinum,,,,,,,,,,,,,,,,,,, +细叶谷木,Memecylon scutellatum,,,19731112,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991569.jpg,,,,,,,,,, +,Memecylon scutellatum,杨秀森,龙文兴,LWX10014,20130721,海南,125,热带季雨林,Erect herb,无花有果,https://image.cvh.ac.cn/files/l/KUN/1304148.jpg,,,,,,,,,, +细叶谷木,Memecylon scutellatum,"侯,王,陈,赵",15241,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01583996.jpg,,,,,,,,,, +,Mesua assamica,,,,,,,,,,,,,,,,,,, +铁力木,Mesua ferrea,C.W.Wang,75480,19360800,云南省 ,480,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0234223.jpg,,,,,,,,,, +铁力木,Mesua ferrea,张莉,,20100416,海南省 ,40,,,无花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0007179.jpg,,,,,,,,,, +铁力木,Mesua ferrea,科技部,2825,19940320,海南,50m,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00000953.jpg,,,,,,,,,, +,Mezoneuron cucullatum,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003146,20171211,,1075,Roadside,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445885.jpg,,,,,,,,,, +,Mezoneuron enneaphyllum,,,,,,,,,,,,,,,,,,, +,Micranthes divaricata,汤宗孝,1691,19830811,四川省,3800,半沼泽草场,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957485.jpg,,,,,,,,,, +,Micranthes dungbooi,,,,,,,,,,,,,,,,,,, +,Micranthes lumpuensis,李延辉,3543,19610629,云南省,,坡地陡密林中湿润,,,https://image.cvh.ac.cn/files/l/KUN/1291998.jpg,,,,,,,,,, +,Micranthes melanocentra,汤宗孝,1613,19830804,四川省,3950,高山草甸草场,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957482.jpg,,,,,,,,,, +,Micranthes melanocentra,Rebecca Stubbs etc.,RS104,20150705,云南省 ,4138,"Alpine,gravelly slope,west facing slope.",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1263989.jpg,,,,,,,,,, +黑蕊虎耳草,Micranthes melanocentra,陈世龙、张得钧、段义忠,chen2007052,20070802,西藏自治区,4680,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008376.jpg,,,,,,,,,, +,Micranthes pallida,Rebecca Stubbs etc.,RS103,20150705,云南省,3497,wet grassy areas or among rocks,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1263988.jpg,,,,,,,,,, +,Micranthes pallida,Rebecca Stubbs etc.,RS103,20150705,云南省 ,3497,wet grassy areas or among rocks,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1263987.jpg,,,,,,,,,, +多叶虎耳草,Micranthes pallida,张发起,chen2013264,20130808,西藏自治区,4070,高寒草甸、阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008347.jpg,,,,,,,,,, +,Micromeles cuspidata,,,,,,,,,,,,,,,,,,, +刚莠竹,Microstegium ciliatum,平乐县普查队,450330181109002LY,20181109,广西,169,灌丛,其它,多野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00413751.jpg,,,,,,,,,, +刚莠竹,Microstegium ciliatum,钟明哲,3598,20081020,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088463.jpg,,,,,,,,,, +刚莠竹,Microstegium ciliatum,"李渤生,程树志",1576,19821029,西藏自治区,1200~2400,干旱山坡农田杂草,,无花有果,https://image.cvh.ac.cn/files/l/PE/01854942.jpg,,,,,,,,,, +,Microstegium fasciculatum,方文培,4830,19400000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854930.jpg,,,,,,,,,, +,Microstegium fasciculatum,李中提,600018,19571115,广西壮族自治区,,水旁北倾斜阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855455.jpg,,,,,,,,,, +,Microstegium fasciculatum,两广队,53,19851019,广东省,50,次生灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854932.jpg,,,,,,,,,, +竹叶茅,Microstegium nudum,S.Saito,7960,19291023,台湾,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/92964.jpg,,,,,,,,,, +竹叶茅,Microstegium nudum,C.C.Courtois,19603,19170511,上海市,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00524458.jpg,,,,,,,,,, +竹叶茅,Microstegium nudum,"Tang Chung Chang, Ma Shan En.",2899,1926-11-,福建; Fujian,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00002607.jpg,,,,,,,,,, +柔枝莠竹,Microstegium vimineum,"Albert N.Steward,C.Y.Chiao, H.",800,1931-10-,贵州; Guizhou,1000,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00002652.jpg,,,,,,,,,, +柔枝莠竹,Microstegium vimineum,钟明哲,4063,20090616,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088545.jpg,,,,,,,,,, +柔枝莠竹,Microstegium vimineum,M.B.Deng,93050,19960820,安徽省,600,mountain valley small stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607658.jpg,,,,,,,,,, +,Microtropis densiflora,,,,,,,,,,,,,,,,,,, +异色假卫矛,Microtropis discolor,,100,19280100,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0286231.jpg,,,,,,,,,, +异色假卫矛,Microtropis discolor,,2172,19561018,贵州,,阴处山坡,,无花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0007446.jpg,,,,,,,,,, +异色假卫茅,Microtropis discolor,黄俞淞、廖云标等,Y1126,20120326,广西壮族自治区,1165,石灰岩石山,灌木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00279234.jpg,,,,,,,,,, +,Microtropis macrocarpa,中苏队,3969,19560624,云南省,1000~1500,山斜坡密林阴处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01829744.jpg,,,,,,,,,, +大叶假卫矛,Microtropis macrocarpa,Qinwen Lin,543,20060814,云南,1400,slope dense forest,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00086585.jpg,,,,,,,,,, +,Microtropis macrocarpa,中苏云南联合考察团,3783,19560000,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01829741.jpg,,,,,,,,,, +,Microtropis xizangensis,,,,,,,,,,,,,,,,,,, +粟草,Milium effusum,贺贤育,24109,19580000,浙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00572950.jpg,,,,,,,,,, +粟草,Milium effusum,"孙阎, 张兰兰",SunY316,20160811,黑龙江,330,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1458656.jpg,,,,,,,,,, +粟草,Milium effusum,路端正 李裕久,,19870801,宁夏,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00004045.jpg,,,,,,,,,, +鸡血藤,Millettia extensa,岳中枢,无,19780628,,0,栽培,,,https://image.cvh.ac.cn/files/l/KUN/1271615.jpg,,,,,,,,,, +,Millettia pulchra,C.O.Levine,s.n.,19171020,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01603848.jpg,,,,,,,,,, +含羞草,Mimosa pudica,Lope del Val,,19390000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022471.jpg,,,,,,,,,, +,Mimosa rubicaulis subsp. himalayana,H.Ohba et al.,8331538,19830827,,1000~900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026280.jpg,,,,,,,,,, +尼泊尔芒,Miscanthus nepalensis,忠县队,500233-131024-1004-LY-02,20131024,重庆市,1531,阴坡,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0033623.jpg,,,,,,,,,, +尼泊尔芒,Miscanthus nepalensis,郭永杰,李涟漪,聂细转,12CS5167,20121210,云南,2102,常绿阔叶林林缘,二年生草本,,https://image.cvh.ac.cn/files/l/KUN/1402791.jpg,,,,,,,,,, +,Miscanthus nepalensis,PE西藏队,PE6298,20170911,西藏自治区,2445,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01891457.jpg,,,,,,,,,, +,Miscanthus nudipes,"李渤生,倪志诚,程树志",6573,19830817,西藏自治区,3100,林缘灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854598.jpg,,,,,,,,,, +双药芒,Miscanthus nudipes,伊廷双,杨杨,孟静,MJ-657,20070919,四川,863,公路边旁山坡,林内,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402798.jpg,,,,,,,,,, +,Miscanthus nudipes,李馨,77689,1958/6/13,四川省,3400,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0236185.jpg,,,,,,,,,, +苦瓜,Momordica charantia,陇西山考察队,2746,19910926,福建省,400~600,林缘 沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01548374.jpg,,,,,,,,,, +苦瓜,Momordica charantia,陈少卿,1922,19420720,湖南省,100,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0208196.jpg,,,,,,,,,, +苦瓜,Momordica charantia,,唐107,19720920,河北省,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/01258406.jpg,,,,,,,,,, +木鳖子,Momordica cochinchinensis,平乐县普查队,450330180927001LY,20180927,广西,240,灌丛,路旁,黄棕壤,一般野生,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00412319.jpg,,,,,,,,,, +木鳖子,Momordica cochinchinensis,T.H.Tu,491,1935/ /,四川,500,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0347950.jpg,,,,,,,,,, +木鳖子,Momordica cochinchinensis,李世顺,48,19770806,湖北省,,家种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01179381.jpg,,,,,,,,,, +云南木鳖,Momordica dioica,中苏调查团,6285,19550511,云南省,960,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01179435.jpg,,,,,,,,,, +云南木鳖,Momordica dioica,Hemadri K.,99696,19640815,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0208304.jpg,,,,,,,,,, +云南木鳖,Momordica dioica,刘慎谔,620897,19460927,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0208301.jpg,,,,,,,,,, +,Momordica subangulata,蔡杰,刘成,郭永杰,09CS1069,20090513,云南,206,公路边,草质藤本,,https://image.cvh.ac.cn/files/l/KUN/1250163.jpg,,,,,,,,,, +凹萼木鳖,Momordica subangulata,王功范,1-0184,20030521,贵州省,650,疏林缘湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01671085.jpg,,,,,,,,,, +,Momordica subangulata,"刘成, 亚吉东, 李昌洪",18CS17165,20181111,西藏,1618,路边山坡,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1482784.jpg,,,,,,,,,, +,Momordica subangulata subsp. renigera,"刘成, 亚吉东, 李昌洪",18CS17165,20181111,西藏,1618,路边山坡,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1482784.jpg,,,,,,,,,, +,Momordica subangulata subsp. renigera,"郭永杰,唐培洵,金永明,张娅婕",13CS7781,20130825,云南省,229,农田边,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1371199.jpg,,,,,,,,,, +,Morella esculenta,"Cavalerie, Pierre Julien",2697,3-Nov-05,,,,,,https://image.cvh.ac.cn/files/l/E/E00275558.jpg,,,,,,,,,, +,Morella nana,,,,,,,,,,,,,,,,,,, +桑,Morus alba,覃海宁 于胜祥 刘博 叶建飞 黄云峰,19647,20080428,广西壮族自治区,865,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112368.jpg,,,,,,,,,, +桑,Morus alba,王薇等,299,1951/6/9,黑龙江省,,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0219047.jpg,,,,,,,,,, +桑,Morus alba,朱鑫鑫,王君,王金丹,徐坤,ZHUXX402,20180415,湖北,150,亚热带常绿阔叶林,路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0153665.jpg,,,,,,,,,, +鸡桑,Morus australis,刘忠成,杨平,刘楠楠,冯璐,张信坚,LXP-13-22765,20170511,湖南,1598,山坡、壤土、疏林,陆生、草本、直立,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00199099.jpg,,,,,,,,,, +,Morus australis,宋朝枢、朱德俊,12346,19560612,山西,1500,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00006893.jpg,,,,,,,,,, +鸡桑,Morus australis,单人骅,808,19380402,江苏省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0392146.jpg,,,,,,,,,, +奶桑,Morus macroura,S.S.Sin,20008,19310620,广西壮族自治区,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0392405.jpg,,,,,,,,,, +奶桑,Morus macroura,刘长坤,CN0407,20080429,四川,750,栽培,,无花有果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0001316.jpg,,,,,,,,,, +,Morus macroura,白水江采集队,3359,20070421,甘肃省,1240,石崖沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01812652.jpg,,,,,,,,,, +,Morus mongolica,李安仁,6836,1958/7/18,新疆维吾尔自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HIMC/0004007.jpg,,,,,,,,,, +蒙桑,Morus mongolica,壶瓶山考察队,87299,19870529,湖南省,890,南坡中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802386.jpg,,,,,,,,,, +蒙桑,Morus mongolica,荔浦县普查队,450331180505028LY,20180505,广西,150,阔叶林,林缘,石灰土,一般野生,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00415858.jpg,,,,,,,,,, +,Morus serrata,,75-280,19750622,西藏自治区,2100,杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00760459.jpg,,,,,,,,,, +,Moullava tortuosa,,,,,,,,,,,,,,,,,,, +,Mucuna hainanensis subsp. multilamellata,,,,,,,,,,,,,,,,,,, +,Mucuna macrocarpa,C.M.Wang,4964,20010515,,470,on roadside of broadleaf forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01514749.jpg,,,,,,,,,, +,Mucuna pruriens,覃海宁等,398,19980411,,400,山地,山坡,疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996633.jpg,,,,,,,,,, +喜马拉雅乱子草,Muhlenbergia himalayensis,,9468,19750724,四川省,2900,公路水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00573610.jpg,,,,,,,,,, +喜马拉雅乱子草,Muhlenbergia himalayensis,R.J.Soreng et al.,5302,19970914,云南省,2280,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00573615.jpg,,,,,,,,,, +,Muhlenbergia himalayensis,高信芬、涂卫国,6979,20030904,西藏,1700,路边,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0196923.jpg,,,,,,,,,, +乱子草,Muhlenbergia huegelii,学生,,198207,黑龙江,,,,有花无果,https://image.cvh.ac.cn/files/l/NEAU/NEAU0002329.jpg,,,,,,,,,, +乱子草,Muhlenbergia huegelii,刘坤,LiuJQ-GN-2011-403,20111002,甘肃,1803,林缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402853.jpg,,,,,,,,,, +乱子草,Muhlenbergia huegelii,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1438-3060,20190814,宁夏,1889,山坡草地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1476901.jpg,,,,,,,,,, +日本乱子草,Muhlenbergia japonica,林鎔,4188,19321020,福建省,1100,山谷杂木林中竹林及杂木林中常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00573788.jpg,,,,,,,,,, +日本乱子草,Muhlenbergia japonica,戴天伦,103242,19581001,重庆市,895,生于草坪中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00573784.jpg,,,,,,,,,, +日本乱子草,Muhlenbergia japonica,金陵大学,3734,19260512,江苏省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00573751.jpg,,,,,,,,,, +帽儿瓜,Mukia maderaspatana,攀枝花苏铁考察队,502,20100915,四川省,1604,灌草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01884990.jpg,,,,,,,,,, +帽儿瓜,Mukia maderaspatana,"蔡杰, 杨雪飞, 杨珺, Tial Cung Ling",15CS10699,20151226,掸邦TaunggyiPindaya,1130,Climbing on the farmland hedge.,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1446789.jpg,,,,,,,,,, +帽儿瓜,Mukia maderaspatana,华南考察队,224,19650508,海南省 ,220,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0208370.jpg,,,,,,,,,, +穗状狐尾藻,Myriophyllum spicatum,T.P.Wang,W.423,1931/6/28,河北,,,herb,无花无果,https://image.cvh.ac.cn/files/l/WUK/0010642.jpg,,,,,,,,,, +穗状狐尾藻,Myriophyllum spicatum,Erik Asplund,s.n.,19240728,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01652969.jpg,,,,,,,,,, +穗状狐尾藻,Myriophyllum spicatum,T.N.Liou & C.Wang,555,1939/9/1,四川,450,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0064637.jpg,,,,,,,,,, +狐尾藻,Myriophyllum verticillatum,朱有昌,645,19620821,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00113329.jpg,,,,,,,,,, +狐尾藻,Myriophyllum verticillatum,黄河调查队,7295,19560709,内蒙古自治区,1300,草地水中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01628006.jpg,,,,,,,,,, +狐尾藻,Myriophyllum verticillatum,Levine,794,19171003,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01628019.jpg,,,,,,,,,, +川康绣线梅,Neillia affinis,"应俊生,洪德元",650444,19650709,西藏自治区,2380,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00964281.jpg,,,,,,,,,, +川康绣线梅,Neillia affinis,刘正宇,Jan-51,19860612,重庆,1500,,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0067491.jpg,,,,,,,,,, +少花川康绣线梅,Neillia affinis,北京青年队,97,19860709,贵州省,1800,山坡 沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00973530.jpg,,,,,,,,,, +粉花绣线梅,Neillia rubiflora,黔北队,508,19590519,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00352233.jpg,,,,,,,,,, +粉花绣线梅,Neillia rubiflora,管中天,8060,19590423,四川省,2000~2400,常绿杂木,,有花有果,https://image.cvh.ac.cn/files/l/PE/00964386.jpg,,,,,,,,,, +粉花绣线梅,Neillia rubiflora,Hand.-mzt.,8884,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00073334.jpg,,,,,,,,,, +云南绣线梅,Neillia serratisepala,"张永田,郞楷永",2,19650626,四川省,2000,山坡 灌木丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00964413.jpg,,,,,,,,,, +云南绣线梅,Neillia serratisepala,周仕顺,1440,20030720,云南省,2500,次生林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01438722.jpg,,,,,,,,,, +云南绣线梅,Neillia serratisepala,"张志松,党成忠等",401177,19640414,贵州省,800,山沟 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01296202.jpg,,,,,,,,,, +,Neillia thyrsiflora,李正义,142,19860713,甘肃,,山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/QYTC/QYTC0005889.jpg,,,,,,,,,, +绣线梅,Neillia thyrsiflora,张迅,522224160403011LY,20160403,贵州省,799,灌丛、中生、阴性、酸性、中温,灌木,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0054780.jpg,,,,,,,,,, +绣线梅,Neillia thyrsiflora,黄连山保护区科研所,HLS-0048,20190918,云南,,次生林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1314142.jpg,,,,,,,,,, +毛果绣线梅,Neillia thyrsiflora var. tunkinensis,朱大海,4044,20070626,四川省,2000,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01833981.jpg,,,,,,,,,, +毛果绣线梅,Neillia thyrsiflora var. tunkinensis,钟补勤,1717,19290823,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00964862.jpg,,,,,,,,,, +毛果绣线梅,Neillia thyrsiflora var. tunkinensis,西藏队,51,19751021,西藏自治区,2650,路社 阴处 灌木丛中野生,,无花无果,https://image.cvh.ac.cn/files/l/PE/01573645.jpg,,,,,,,,,, +,Nekemias grossedentata,,,,,,,,,,,,,,,,,,, +莲,Nelumbo nucifera,,2335,,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0175540.jpg,,,,,,,,,, +莲,Nelumbo nucifera,河北农业大学,4-4203,19590713,河北省,,水中,阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00951388.jpg,,,,,,,,,, +莲,Nelumbo nucifera,李宏庆等,SDP09091,20120402,上海市,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0006952.jpg,,,,,,,,,, +藏棒锤瓜,Neoalsomitra clavigera,"洪德元,马欣堂,王强",H12091,20120803,西藏自治区,2200,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01913955.jpg,,,,,,,,,, +藏棒锤瓜,Neoalsomitra clavigera,M.E.Pany,1008,19291119,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0208409.jpg,,,,,,,,,, +藏棒锤瓜,Neoalsomitra clavigera,彭华,董洪进等,673,20111214,云南省,720,pathside,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1228363.jpg,,,,,,,,,, +,Neomicrocalamus microphyllus,"李渤生,程树志等",2131,19821211,西藏自治区,1700~2100,常绿阔叶林下 带阴湿沟谷中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644465.jpg,,,,,,,,,, +,Neomicrocalamus prainii,张玉霄,马朋飞,13045,20131028,云南省,1600,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1248744.jpg,,,,,,,,,, +新小竹,Neomicrocalamus prainii,方晔,5333241812061269LY,20181206,云南,1320,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009764.jpg,,,,,,,,,, +,Neotrinia splendens,,,,,,,,,,,,,,,,,,, +三裂叶野葛,Neustanthus phaseoloides,高信芬、张良、李蒙、张桥蓉、亚吉东、崔光帅,QTP-II08-T05-000059,20171125,,613,Shorea robusta forest,Twining vines,无花有果,https://image.cvh.ac.cn/files/l/KUN/1552226.jpg,,,,,,,,,, +,Neyraudia arundinacea,A. N. Steward,882,1931/11/16,,,,,,https://image.cvh.ac.cn/files/l/NY/00381528.jpg,,,,,,,,,, +大类芦,Neyraudia arundinacea,梁向日,66358,19331216,海南省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00123535.jpg,,,,,,,,,, +大类芦,Neyraudia arundinacea,,,194211,广东,,,,有,https://image.cvh.ac.cn/files/l/SN/SN002579.jpg,,,,,,,,,, +山类芦,Neyraudia montana,李宏庆,熊申展,桂萍,LiHQ0411,20101020,浙江,487,路边山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1402877.jpg,,,,,,,,,, +山类芦,Neyraudia montana,北京队,890770,19890505,广西壮族自治区,320,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981335.jpg,,,,,,,,,, +山类芦,Neyraudia montana,,39,,福建省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00573900.jpg,,,,,,,,,, +类芦,Neyraudia reynaudiana,Tsang Wai Tak,,1927-12-,香港; LANTAU,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00015027.jpg,,,,,,,,,, +类芦,Neyraudia reynaudiana,刘艳春,809,20111018,贵州,672,山坡草丛,草本,,https://image.cvh.ac.cn/files/l/KUN/1402882.jpg,,,,,,,,,, +类芦,Neyraudia reynaudiana,"李振宇,闫丽春,农必明,李东方",1668,19981028,广西壮族自治区,950,石灰岩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981339.jpg,,,,,,,,,, +,Ochna obtusata,,,,,,,,,,,,,,,,,,, +月见草,Oenothera biennis,Loy R.Phillippe,40915,20080813,,535,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01932237.jpg,,,,,,,,,, +月见草,Oenothera biennis,刘正宇、张军等,RQHZ5231-01,20170628,重庆,580,荒地,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0085323.jpg,,,,,,,,,, +月见草,Oenothera biennis,张祥卿,20042,19560708,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01162497.jpg,,,,,,,,,, +粉花月见草,Oenothera rosea,洪必蓉,76,19570000,青海省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/120224197.jpg,,,,,,,,,, +粉花月见草,Oenothera rosea,马海英、戌国标、赵飞,马海英1153,20110816,西藏,,路边荒地上,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0135213.jpg,,,,,,,,,, +红花月见草,Oenothera rosea,于胜祥、张晓霞、周洪志、等,451031130807146LY,20130807,广西,877,灌丛,路旁,红壤,草本,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0192962.jpg,,,,,,,,,, +,Ohwia caudata,覃海宁等,18301,20041122,,54,山谷,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01861743.jpg,,,,,,,,,, +竹叶草,Oplismenus compositus,Tsang Wai Tak & Wong Kam Chow,,1926-10-,广东; KWANGTUNG,,,藤本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00013387.jpg,,,,,,,,,, +竹叶草,Oplismenus compositus,Taku Miyazaki,310225,20031010,,145~80,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01915284.jpg,,,,,,,,,, +竹叶草,Oplismenus compositus,,17094,19640920,江西,350,田边,,无花有果,https://image.cvh.ac.cn/files/l/JXU/JXU0019718.jpg,,,,,,,,,, +台湾竹叶草,Oplismenus compositus var. formosanus,W.Y.Chun,7772,1929-11-,广东; KWANGTUNG,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00013389.jpg,,,,,,,,,, +台湾竹叶草,Oplismenus compositus var. formosanus,海南调查队,697,19541113,海南省,,高山 山脊 山谷 半阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00584161.jpg,,,,,,,,,, +台湾竹叶草,Oplismenus compositus var. formosanus,吴征镒等,5375,19760901,西藏自治区,0,林下荫处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/387031.jpg,,,,,,,,,, +,Oplismenus compositus var. owatarii,高信芬、涂卫国、乔永康、何海,7924,20030924,西藏自治区,800,林下石壁,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0197716.jpg,,,,,,,,,, +大叶竹叶草,Oplismenus compositus var. owatarii,李中提,601676,19581020,广西壮族自治区,,草地,山坡,灌木丛下,普遍,丛生,,有花有果,https://image.cvh.ac.cn/files/l/PE/00584229.jpg,,,,,,,,,, +大叶竹叶草,Oplismenus compositus var. owatarii,C.W.Wang,78326,19360800,云南省,1950,Border of woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00584235.jpg,,,,,,,,,, +紫麻,Oreocnide frutescens,杨文晟、刘宇,LXP13-11458,20130818,江西省宜春市,,平地、沙土、路旁,陆生、灌木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00181261.jpg,,,,,,,,,, +紫麻,Oreocnide frutescens,刘心祈,25594,19360307,海南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0163977.jpg,,,,,,,,,, +紫麻,Oreocnide frutescens,T.Y.A.Yang & C.H.Chu,8028,19970423,台湾省,20,In forest,,无花无果,https://image.cvh.ac.cn/files/l/PE/00705014.jpg,,,,,,,,,, +滇藏紫麻,Oreocnide frutescens subsp. occidentalis,吴增源,刘铭璐,WuZY-2012053,20120722,四川省,1258,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1262176.jpg,,,,,,,,,, +滇藏紫麻,Oreocnide frutescens subsp. occidentalis,宋鼎;刘敏;魏定名;杨龙斌;李双斌;张桥蓉,CN182,20190220,云南,1223,江边林中,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1552980.jpg,,,,,,,,,, +滇藏紫麻,Oreocnide frutescens subsp. occidentalis,,7009,,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00565040.jpg,,,,,,,,,, +全缘叶紫麻,Oreocnide integrifolia,陈少卿,11919,19570423,广西壮族自治区,280,山谷阳处疏林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00565011.jpg,,,,,,,,,, +全缘叶紫麻,Oreocnide integrifolia,邓良,3614,19561208,海南省,,岩石上山谷阴处密林中少数,,无花有果,https://image.cvh.ac.cn/files/l/PE/00564990.jpg,,,,,,,,,, +全缘叶紫麻,Oreocnide integrifolia,陈伟烈,10850,19800630,西藏自治区,1200~1400,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/00565008.jpg,,,,,,,,,, +倒卵叶紫麻(原变种),Oreocnide obovata,容县普查队,450921180310027LY,20180310,广西,420.4,阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0204670.jpg,,,,,,,,,, +倒卵叶紫麻,Oreocnide obovata,旷仁平,LXP03-06825,20150805,江西,,山谷,壤土,疏林,溪边,村边,"陆生,草本,直立",无花有果,https://image.cvh.ac.cn/files/l/HNNU/HNNU00065025.jpg,,,,,,,,,, +倒卵叶紫麻,Oreocnide obovata,,6054,,江西省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0375027.jpg,,,,,,,,,, +,Orinus intermedius,,,,,,,,,,,,,,,,,,, +固沙草,Orinus thoroldii,青藏队植被组,12478,19760907,西藏自治区,4500,田边及山坡洪积扇,,有花有果,https://image.cvh.ac.cn/files/l/PE/02076574.jpg,,,,,,,,,, +固沙草,Orinus thoroldii,岳伟、苏旭、王玉金,LiuJQ-267,20110927,四川省,0~2428,温带灌丛坡地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286924.jpg,,,,,,,,,, +固沙草,Orinus thoroldii,西藏考察队,3505,74.7.12,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00052369.jpg,,,,,,,,,, +,Ormosia robusta,,,,,,,,,,,,,,,,,,, +黄花瓦松,Orostachys spinosa,,8379,19560827,内蒙古自治区,,山顶岩间,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268743.jpg,,,,,,,,,, +黄花瓦松,Orostachys spinosa,李书心,5403,19820907,黑龙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/IFP/06602004x0003.jpg,,,,,,,,,, +黄花瓦松,Orostachys spinosa,"张新时,郭柯",天山-041,19860729,新疆维吾尔自治区,,荒漠草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02096735.jpg,,,,,,,,,, +,Orostachys thyrsiflora,邱娟,冯建菊,LiuJQ0080,20080806,新疆,3856,山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237077.jpg,,,,,,,,,, +小苞瓦松,Orostachys thyrsiflora,"老铁山采集队 孙英宝 王小平,刘冰,林希震,张学伟,张敬莉",637,20081001,辽宁省,105,石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100474.jpg,,,,,,,,,, +小苞瓦松,Orostachys thyrsiflora,王忠涛等,366,20070625,新疆维吾尔自治区,2300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100476.jpg,,,,,,,,,, +,Orthoraphium roylei,,144,19550912,四川,3640,冷杉林下,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00041193.jpg,,,,,,,,,, +直芒草 ,Orthoraphium roylei,谭策铭,95663A,19950901,江西省,100,塘边湿地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/JJF/JJF00038538.jpg,,,,,,,,,, +直芒草,Orthoraphium roylei,林业部,1885,19551000,,0~3600,,,有花有果,https://image.cvh.ac.cn/files/l/N/019114133.jpg,,,,,,,,,, +亚洲栽培稻,Oryza sativa,Tsang Wai-Tak,468,19280524,海南省,,Growing in a farm,,有花有果,https://image.cvh.ac.cn/files/l/PE/00584840.jpg,,,,,,,,,, +亚洲栽培稻,Oryza sativa,"刘慎谔,刘媖心等",5538,19521006,辽宁省,250,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/00584730.jpg,,,,,,,,,, +稻,Oryza sativa,,6492,,福建; FUKIEN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00014264.jpg,,,,,,,,,, +头序金锦香,Osbeckia capitata,,11285,19380824,湖南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00780623.jpg,,,,,,,,,, +头序金锦香,Osbeckia capitata,广福林区采集队,921,19550719,广西,,草地,山顶,路旁,,有花无果,https://image.cvh.ac.cn/files/l/GAC/GAC0007987.jpg,,,,,,,,,, +头序金锦香,Osbeckia capitata,张志松,张永田,7853,19600818,贵州省,1500,山坡,山地上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0157831.jpg,,,,,,,,,, +金锦香,Osbeckia chinensis,邹垣,1746,,安徽省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00780640.jpg,,,,,,,,,, +金锦香,Osbeckia chinensis,M.K.Li,1697,19390602,云南省,1150,mt.grassy slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00780848.jpg,,,,,,,,,, +金锦香,Osbeckia chinensis,章绍尧,3573,19580828,浙江省,,路旁田边土地褐色,,有花无果,https://image.cvh.ac.cn/files/l/PE/00780656.jpg,,,,,,,,,, +假朝天罐,Osbeckia crinita,青藏队植被组,3083,19740907,西藏自治区,1000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061615.jpg,,,,,,,,,, +假朝天罐,Osbeckia crinita,"S.K.Wu,Y.M.Shui et al.",3238,19951024,云南省,1700~1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01910812.jpg,,,,,,,,,, +,Osbeckia crinita,郭永杰,吴义军,马蓉,孙兴旭,12CS5138,20121030,云南,2396,常绿阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1304193.jpg,,,,,,,,,, +蚂蚁花,Osbeckia nepalensis,"李渤生,程树志",3919,19830406,西藏自治区,750,林缘时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00780891.jpg,,,,,,,,,, +蚂蚁花,Osbeckia nepalensis,,198,19381121,湖南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00780859.jpg,,,,,,,,,, +蚂蚁花,Osbeckia nepalensis,郭惠珠,郭艺松,谷悦,2937,20110303,福建,201.3~43,盆栽,灌木,有花有果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0005601.jpg,,,,,,,,,, +白蚂蚁花,Osbeckia nepalensis var. albiflora,Southeast Tibet Expedition Team,1114,20090902,西藏自治区,1036,along the roadside,,无花有果,https://image.cvh.ac.cn/files/l/PE/02006130.jpg,,,,,,,,,, +白蚂蚁花,Osbeckia nepalensis var. albiflora,尹文清,1439,19601015,云南省,1300~1500,路边,疏林下,草本 ,有花无果,https://image.cvh.ac.cn/files/l/KUN/0158176.jpg,,,,,,,,,, +,Osbeckia nutans,,,,,,,,,,,,,,,,,,, +秃金锦香,Osbeckia rostrata,,3803,19580723,江西省,0,河滩,杂草中,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0158264.jpg,,,,,,,,,, +秃金锦香,Osbeckia rostrata,李德铢,彭华,1227,19931014,云南省,1650~1900,次生林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0158261.jpg,,,,,,,,,, +秃金锦香,Osbeckia rostrata,杨光辉,57086,1957/8/4,四川,850,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0280616.jpg,,,,,,,,,, +,Osbeckia stellata,方文培,12477,19380724,上海市,,Under woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00780971.jpg,,,,,,,,,, +星毛金锦香,Osbeckia stellata,唐忠炳,160805001,20160805,江西,656,路边林下,,有花有果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0006182.jpg,,,,,,,,,, +,Osbeckia stellata,T.T.Yü,20374,19380919,云南省,1700,Among thickets on open slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00781196.jpg,,,,,,,,,, +,Osteomeles schwerinae,宋朝枢、朱德俊,12780,19570804,陕西,2000,山谷缓坡疏林中,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00014755.jpg,,,,,,,,,, +华西小石积,Osteomeles schwerinae,中国科学院植物所昆明工作站,75213,,山西,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00353201.jpg,,,,,,,,,, +华西小石积,Osteomeles schwerinae,C.W.Wang,66427,19350900,新疆维吾尔自治区 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00065388.jpg,,,,,,,,,, +小叶华西小石积,Osteomeles schwerinae var. microphylla,钟补求,119,1927/10/6,贵州 ,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0054741.jpg,,,,,,,,,, +小叶华西小石积,Osteomeles schwerinae var. microphylla,于胜祥等,4481,20110728,云南省,1830,干热山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01863239.jpg,,,,,,,,,, +小叶华西小石积,Osteomeles schwerinae var. microphylla,青藏队,7648,19820626,西藏自治区,1800,山坡 灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01147955.jpg,,,,,,,,,, +,Ostodes katharinae,王洪,6926,20040402,云南省,1600,北坡次生林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01680952.jpg,,,,,,,,,, +云南叶轮木,Ostodes katharinae,张宗享,王善龄,3840,19580726,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00168366.jpg,,,,,,,,,, +云南叶轮木,Ostodes katharinae,中越考察队,1186,19650108,山西省,800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0325723.jpg,,,,,,,,,, +叶轮木,Ostodes paniculata,C.W.Wang,77461,19360800,云南省 ,950,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0325758.jpg,,,,,,,,,, +叶轮木,Ostodes paniculata,盛才余,C400737,20170322,云南,570,"C40引种号:00,2003,0043",灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026797.jpg,,,,,,,,,, +叶轮木,Ostodes paniculata,陈焕镛,6194,,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0325736.jpg,,,,,,,,,, +,Ototropis conferta,,,,,,,,,,,,,,,,,,, +,Ototropis likabalia,,,,,,,,,,,,,,,,,,, +,Ototropis multiflora,杨汝荣,84065,19840910,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01880808.jpg,,,,,,,,,, +,Oxalis acetosella,田陌,田先华,TianXH390,20120530,陕西,1528,山坡林下,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1303455.jpg,,,,,,,,,, +白花酢浆草,Oxalis acetosella,邓懋彬,87790,19900511,安徽省,1500,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00311199.jpg,,,,,,,,,, +山酢浆草,Oxalis acetosella,刘忠成,杨平,刘楠楠,冯璐,张信坚,LXP-13-22806,20170511,湖南,1464,山谷、壤土、疏林,陆生、草本、直立,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00199094.jpg,,,,,,,,,, +酢浆草,Oxalis corniculata,刘美娟,39,20021025,台湾,550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826655.jpg,,,,,,,,,, +,Oxalis corniculata,李宏庆,葛斌杰,刘国丽等,LiHQ0198,20090616,浙江,89,田边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1246650.jpg,,,,,,,,,, +酢浆草,Oxalis corniculata,梁向日,65401,19340228,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0226648.jpg,,,,,,,,,, +山酢浆草,Oxalis griffithii,,45,19640730,甘肃省,2300,林阴下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00054649.jpg,,,,,,,,,, +山酢浆草,Oxalis griffithii,王映明,5648,19880806,湖北省,1500,木柞小黑湾的密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01365715.jpg,,,,,,,,,, +山酢浆草,Oxalis griffithii,,40187,19850701,湖北,1200,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0009817.jpg,,,,,,,,,, +,Oxalis leucolepis,"李渤生,程树志,倪志诚",5655,19830720,西藏自治区,3600,Abies林下优势草木,,有花有果,https://image.cvh.ac.cn/files/l/PE/02072277.jpg,,,,,,,,,, +,Oxalis leucolepis,川经凉59字,1475,19590727,四川省,2400,阴处密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00057248.jpg,,,,,,,,,, +,Oxalis leucolepis,张挺,蔡杰,刘成,吴之坤,11CS2828,20110528,云南,3370,冷杉林中,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1303456.jpg,,,,,,,,,, +,Oxygraphis endlicheri,,,,,,,,,,,,,,,,,,, +鸦跖花,Oxygraphis glacialis,黄河调查队,3314,19570610,甘肃省,3550,山坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00428320.jpg,,,,,,,,,, +鸦跖花,Oxygraphis glacialis,"李安仁,朱家楠",5687,19580617,新疆维吾尔自治区,3150,高山草甸阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00428327.jpg,,,,,,,,,, +鸦跖花,Oxygraphis glacialis,青藏补点组,750251,19750606,西藏,3900~390,林边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/298990.jpg,,,,,,,,,, +墨脱尖子木,Oxyspora cernua,孙航,周浙昆,俞宏渊,282,19921010,西藏自治区,1000,in foret,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0158384.jpg,,,,,,,,,, +尖子木,Oxyspora paniculata,刘全儒,孟世勇,,20090207,广西省,228,路边山坡,灌木,,https://image.cvh.ac.cn/files/l/BNU/0020979.jpg,,,,,,,,,, +尖子木,Oxyspora paniculata,谭沛祥,59905,19581027,广东省,300,山地水旁山谷灌丛石上普遍,,有花无果,https://image.cvh.ac.cn/files/l/PE/00781403.jpg,,,,,,,,,, +尖子木,Oxyspora paniculata,C.W.Wang,72525,19360300,云南省 ,2600,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0246544.jpg,,,,,,,,,, +刚毛尖子木,Oxyspora vagans,张奠湘,360,19901112,云南省,1450,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0246601.jpg,,,,,,,,,, +刚毛尖子木,Oxyspora vagans,孙航,周浙昆,俞宏渊,1537,19921124,西藏自治区,0,in mixed forest,灌木 ,有花无果,https://image.cvh.ac.cn/files/l/KUN/0158664.jpg,,,,,,,,,, +,Oxyspora vagans,何忠云,周立刚,ALSZY318,20101205,云南,2276,常绿阔叶林中,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1304308.jpg,,,,,,,,,, +克什米尔棘豆,Oxytropis cachemiriana,费勇,孙航等,700,19900903,,4200,on grassland by water,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0618928.jpg,,,,,,,,,, +,Oxytropis cinerascens,青藏队植被组,4142,19750622,,4400,东北草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00098527.jpg,,,,,,,,,, +蓝花棘豆,Oxytropis coerulea,陈全胜,CF06-4080,20180627,,1668,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247086.jpg,,,,,,,,,, +,Oxytropis deflexa,"朱相云,杨永,潘勃",20050076,20050718,,3310,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01969504.jpg,,,,,,,,,, +,Oxytropis densa,郭柯,k-69,19900626,,4770,沙砾质河阶地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045198.jpg,,,,,,,,,, +,Oxytropis densiflora var. multiramosa,,,,,,,,,,,,,,,,,,, +小花棘豆,Oxytropis glabra,中苏队,51,19600629,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078334.jpg,,,,,,,,,, +,Oxytropis humifusa,泛喜马拉雅植物志巴基斯坦采集队,FPH-0186,20120619,,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004915.jpg,,,,,,,,,, +密花棘豆,Oxytropis imbricata,胡叔良等,23,19560803,,2870,草地 阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827104.jpg,,,,,,,,,, +甘肃棘豆,Oxytropis kansuensis,PE西藏队,PE5081,20170825,,3749,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330365.jpg,,,,,,,,,, +,Oxytropis lapponica,"张新时,郭柯",天山-647,19860816,,2400,云杉林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097535.jpg,,,,,,,,,, +等瓣棘豆,Oxytropis lehmannii,刘全儒,QH2014300,20140708,,3819,山坡草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0031749.jpg,,,,,,,,,, +,Oxytropis lhasaensis,,,,,,,,,,,,,,,,,,, +,Oxytropis malloryana,,,,,,,,,,,,,,,,,,, +黑萼棘豆,Oxytropis melanocalyx,"陈伟烈,陈家瑞,郭柯等",6558,19840620,,4210,高山灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02045362.jpg,,,,,,,,,, +,Oxytropis microphylla,"王金亭,武田义明",106,19860408,,4500~4600,山麓冰碛丘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081068.jpg,,,,,,,,,, +,Oxytropis mollis,泛喜马拉雅植物志巴基斯坦采集队,FPH-0386,20120621,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005281.jpg,,,,,,,,,, +多叶棘豆,Oxytropis myriophylla,陈全胜,CF07-4090,20180627,,1451,沙质草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246989.jpg,,,,,,,,,, +黄毛棘豆,Oxytropis ochrantha,"石硕,祝东立,祝振清",SZ3705,20140806,,1248,石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063866.jpg,,,,,,,,,, +黄花棘豆,Oxytropis ochrocephala,J.I.Jeon et al.,SI1302,20100810,,3653,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01924403.jpg,,,,,,,,,, +长萼棘豆,Oxytropis parasericeopetala,张林、李星月、张晓严,4月2日,20180609,,4437,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023643.jpg,,,,,,,,,, +,Oxytropis pauciflora,青藏队植被组,13216,19760709,,4500,河漫滩沼泽草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826654.jpg,,,,,,,,,, +,Oxytropis platysema,"张新时,郭柯",天山-317,19860803,,3325,倒石堆下部,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097538.jpg,,,,,,,,,, +,Oxytropis podoloba,青藏队植被组,9484,19760800,,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826045.jpg,,,,,,,,,, +密花棘豆,Oxytropis pseudocoerulea,刘玉红,样97,19820808,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802515.jpg,,,,,,,,,, +,Oxytropis qamdoensis,朱相云 杜玉芬,20074,20000816,,3250,山坡岩石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01432654.jpg,,,,,,,,,, +,Oxytropis savellanica,郭柯,K-153,19900727,,5110,冲积扇,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060111.jpg,,,,,,,,,, +,Oxytropis stracheyana,Anonymous,K-212,19900812,,4600,沙质台地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02099301.jpg,,,,,,,,,, +,Oxytropis tatarica,贾慎修,1780,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01812957.jpg,,,,,,,,,, +长喙棘豆,Oxytropis thomsonii,杨竞生,91-487,19910629,,3600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0197509.jpg,,,,,,,,,, +胶黄芪状棘豆,Oxytropis tragacanthoides,"郑度,郭柯",12270,19880803,,3320,河谷柽柳灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01813179.jpg,,,,,,,,,, +,Oxytropis tudanensis,青藏队那曲分队陶德定,10701,19760731,,4900,西山坡向砾石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01813184.jpg,,,,,,,,,, +豆薯,Pachyrhizus erosus,广西队,,19530000,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996891.jpg,,,,,,,,,, +,Paeonia anomala subsp. veitchii,洪德元等,H06007,20060512,,2900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269696.jpg,,,,,,,,,, +川赤芍,Paeonia anomala subsp. veitchii,尹鑫,吴航,葛文静,LiuJQ-GN-2011-212,20110908,甘肃,2924,温带落叶阔叶林林下,,果标本,https://image.cvh.ac.cn/files/l/KUN/1233267.jpg,,,,,,,,,, +川赤芍,Paeonia anomala subsp. veitchii,陈世龙,张得钧,高庆波等,ChenSL0331,20080805,青海,3460,河谷或河滩,,果标本,https://image.cvh.ac.cn/files/l/KUN/1233262.jpg,,,,,,,,,, +多花芍药,Paeonia emodi,S.L.Zhou,H01031,20010802,西藏自治区,2480,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01269661.jpg,,,,,,,,,, +多花芍药,Paeonia emodi,张廷,蔡杰,袁明等,09CS1509,20090922,西藏,2824,山坡开阔灌草丛,,果标本,https://image.cvh.ac.cn/files/l/KUN/1233278.jpg,,,,,,,,,, +多花芍药,Paeonia emodi,J.F.Duthie,25462,,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0087957.jpg,,,,,,,,,, +马甲子,Paliurus ramosissimus,广西调查队,3664,19530914,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999500.jpg,,,,,,,,,, +马甲子,Paliurus ramosissimus,贵州队,7203,1960/7/21,贵州,1300,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0224854.jpg,,,,,,,,,, +马甲子,Paliurus ramosissimus,王宏杰 胡志新,265,1974/5/6,河南,750,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0414440.jpg,,,,,,,,,, +,Panicum atrosanguineum,"Van Oudtshoorn,F.P.",SP14,19940500,,,roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089431.jpg,,,,,,,,,, +,Panicum auritum,G.E.Juan,192,19450907,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01675430.jpg,,,,,,,,,, +,Panicum auritum,滇西北金沙江队,6823,19630903,云南省,1900,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00585079.jpg,,,,,,,,,, +,Panicum auritum,梁畴芬,33431,19730921,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00585077.jpg,,,,,,,,,, +短叶黍,Panicum brevifolium,刘守炉,18,,海南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00585138.jpg,,,,,,,,,, +短叶黍,Panicum brevifolium,蒋英,12819,19331129,云南省 ,,in light wood,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00526038.jpg,,,,,,,,,, +短叶黍,Panicum brevifolium,陇西山考察队,2716,19910926,福建省,400~600,山坡 草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01549868.jpg,,,,,,,,,, +弯花黍,Panicum curviflorum,李永亮等4人,YDDXS0448,20100831,云南,1092,河谷杂灌木林间,林边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403029.jpg,,,,,,,,,, +,Panicum curviflorum,侯学良,640,20161017,福建省,1591,路边,草本,有花有果,https://image.cvh.ac.cn/files/l/AU/AU054922.jpg,,,,,,,,,, +洋野黍,Panicum dichotomiflorum,平乐县普查队,450330181013021LY,20181013,广西,330,灌丛,路旁,黄棕壤,一般野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00413716.jpg,,,,,,,,,, +洋野黍,Panicum dichotomiflorum,周口店考察队,240,20080927,北京市,148,山坡灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112049.jpg,,,,,,,,,, +洋野黍,Panicum dichotomiflorum,F.H.Utech,439,19790923,Carolina,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/387416.jpg,,,,,,,,,, +,Panicum humidorum,,,,,,,,,,,,,,,,,,, +藤竹草,Panicum incomtum,荔浦县普查队,450331181108023LY,20181108,广西,337,针阔混交林,沟边,黄棕壤,一般野生,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00416565.jpg,,,,,,,,,, +藤竹草,Panicum incomtum,海南吊罗山队,2286,19541109,海南岛,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00179831.jpg,,,,,,,,,, +藤竹草,Panicum incomtum,吊罗山队,3413,19550114,海南省,100,平地田中少数,,有花有果,https://image.cvh.ac.cn/files/l/PE/00585173.jpg,,,,,,,,,, +滇西黍,Panicum khasianum,刘艳春,813,20111023,云南,1959,山坡草丛,草本,,https://image.cvh.ac.cn/files/l/KUN/1403033.jpg,,,,,,,,,, +稷,Panicum miliaceum,C.Y.Chiao,2760,1929-07-,山东省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0123679.jpg,,,,,,,,,, +黍,Panicum miliaceum,黄迎新,1511,20150720,黑龙江省齐齐哈尔市,153.8,草甸/盐化低地草甸/盐碱土,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0231454.jpg,,,,,,,,,, +稷,Panicum miliaceum,W.C.Wu,,1930/2/2,河北; HOPEI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00012888.jpg,,,,,,,,,, +心叶稷,Panicum notatum,陈静波,70813,20070813,江苏省,,海边,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00566868.jpg,,,,,,,,,, +心叶黍,Panicum notatum,中越考察队,1351,19650115,谅山,50~40,高草灌丛,,有果无花,https://image.cvh.ac.cn/files/l/KUN/387504.jpg,,,,,,,,,, +心叶稷,Panicum notatum,Tsang,Wai-Tak,16453,19270927,海南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00526053.jpg,,,,,,,,,, +卵花黍,Panicum sarmentosum,梁向日,61337,19311009,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00122102.jpg,,,,,,,,,, +卵花黍,Panicum sarmentosum,梁向日,61337,19311009,广东,,River side ,open place,herb,果,https://image.cvh.ac.cn/files/l/SN/SN002392.jpg,,,,,,,,,, +卵花黍,Panicum sarmentosum,梁向日,61337,1931/10/9,,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0110762.jpg,,,,,,,,,, +虞美人,Papaver rhoeas,王金平,81,2002.05.,河南,100,,,有花无果,https://image.cvh.ac.cn/files/l/HENU/1015646.jpg,,,,,,,,,, +,Papaver rhoeas,刘正宇,19727,19940630,云南省,960,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050431.jpg,,,,,,,,,, +虞美人,Papaver rhoeas,张勇,RQSB02546,20150731,陕西省,1093,花圃,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0132459.jpg,,,,,,,,,, +罂粟,Papaver somniferum,,,,北京,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0003374.jpg,,,,,,,,,, +罂粟,Papaver somniferum,不祥,????,????,青海省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0219406.jpg,,,,,,,,,, +罂粟,Papaver somniferum,刘心祈,25799,19360320,海南省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00015735.jpg,,,,,,,,,, +连蕊藤,Parabaena sagittata,贵州队,2673,19600514,贵州省,500,山坡,密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01071404.jpg,,,,,,,,,, +,Parabaena sagittata,叶金科,YNS0269,20080912,云南,982,公路边,攀援草本,,https://image.cvh.ac.cn/files/l/KUN/1233917.jpg,,,,,,,,,, +连蕊藤,Parabaena sagittata,农东新、莫连兰、农振欢,451229180426070LY,20180426,广西,302,草丛,沟边,黄棕壤,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0181055.jpg,,,,,,,,,, +乳突拟耧斗菜,Paraquilegia anemonoides,西植新疆队,2138,1978/7/29,新疆维吾尔族自治区,3200,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0337065.jpg,,,,,,,,,, +乳突拟耧斗菜,Paraquilegia anemonoides,,770157,19770703,,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01605697.jpg,,,,,,,,,, +乳突拟耧斗菜,Paraquilegia anemonoides,刘志安,王清泉,22342,1980/6/13,四川  ,4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0437683.jpg,,,,,,,,,, +密丛拟耧斗菜,Paraquilegia caespitosa,生物研究所西藏考察队,3243,1974.6.1,新疆维吾尔自治区 ,3800,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00010233.jpg,,,,,,,,,, +密丛拟耧斗菜,Paraquilegia caespitosa,生物研究所西藏考察队,3243,1974618,,3800,,半灌木,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20009991.jpg,,,,,,,,,, +密丛拟耧斗菜,Paraquilegia caespitosa,魏来、郝加琛,15600,20150805,西藏自治区,4534,石质山坡石缝,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0031864.jpg,,,,,,,,,, +拟耧斗菜,Paraquilegia microphylla,J.F.Rock,23177,19320506,云南,0,on cliffs and boulders,,有花无果,https://image.cvh.ac.cn/files/l/KUN/365621.jpg,,,,,,,,,, +拟耧斗菜,Paraquilegia microphylla,甘青队,8681,1958/8/3,青海 ,4290,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0100544.jpg,,,,,,,,,, +拟耧斗菜,Paraquilegia microphylla,,,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032606.jpg,,,,,,,,,, +墙草,Parietaria micrantha,王作宾,W.2113,19330903,陕西省,1500,in the court of Sanshingkung,,有花无果,https://image.cvh.ac.cn/files/l/PE/00472667.jpg,,,,,,,,,, +墙草,Parietaria micrantha,,22,19870914,山西省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01314902.jpg,,,,,,,,,, +墙草,Parietaria micrantha,"洪德元,潘开玉,陈世龙",H97173,19970813,青海省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846474.jpg,,,,,,,,,, +球花豆,Parkia timoriana,王启无,78606,19360900,,830,Brook side,,无花无果,https://image.cvh.ac.cn/files/l/PE/00322987.jpg,,,,,,,,,, +短柱梅花草,Parnassia brevistyla,朱大海 冯正波 李小杰,4137,20070727,,3140,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/017055.jpg,,,,,,,,,, +,Parnassia brevistyla,刘坤,LiuJQ-GN-2011-668,20110812,甘肃,2794,林缘,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1237715.jpg,,,,,,,,,, +短柱梅花草,Parnassia brevistyla,王明川,GYZ20140928000125,20140928,贵州,,路旁,草本,无花有果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0002036.jpg,,,,,,,,,, +中国梅花草,Parnassia chinensis,泛喜马拉雅植物志巴基斯坦采集队,FPH-0804,20120624,,2575,riverside,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004739.jpg,,,,,,,,,, +中国梅花草,Parnassia chinensis,P.J.M.Delavay,,18890829,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1230231.jpg,,,,,,,,,, +中国梅花草,Parnassia chinensis,PE西藏队,PE6062,20170906,西藏自治区,2935,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331386.jpg,,,,,,,,,, +指裂梅花草,Parnassia cooperi,陈伟烈,10655,19800626,西藏自治区,2400~2800,铁杉林内石上常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982485.jpg,,,,,,,,,, +突隔梅花草,Parnassia delavayi,红广渝,4063,20100731,四川省,2298,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059342.jpg,,,,,,,,,, +突隔梅花草,Parnassia delavayi,刘正宇,782635,19780812,重庆,1950,阴湿崖壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0062710.jpg,,,,,,,,,, +,Parnassia delavayi,,32311,19580800,福建,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00020003.jpg,,,,,,,,,, +,Parnassia longipetala var. striata,,,,,,,,,,,,,,,,,,, +,Parnassia mysorensis,,无号,19560000,福建,3400~3000,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00012766.jpg,,,,,,,,,, +,Parnassia mysorensis,,SCSB-W-115,,云南,4200,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237746.jpg,,,,,,,,,, +凹瓣梅花草,Parnassia mysorensis,"李渤生,程树志",673,19820905,西藏自治区,39~4300,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869729.jpg,,,,,,,,,, +云梅花草,Parnassia nubicola,杨波,DPS20115118,20110526,贵州省,1050,草丛,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0002963.jpg,,,,,,,,,, +云梅花草,Parnassia nubicola,,6550,19750815,,3180,"Between rocks,near the river",,有花无果,https://image.cvh.ac.cn/files/l/PE/01982606.jpg,,,,,,,,,, +云梅花草,Parnassia nubicola,K.M.Feng,1965,19390810,云南省,3300,草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982426.jpg,,,,,,,,,, +倒卵叶梅花草,Parnassia obovata,高连明,严丽君,吴之坤,GLM-123788,20120708,西藏自治区,4952,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1242148.jpg,,,,,,,,,, +倒卵叶梅花草,Parnassia obovata,Y.Tsiang,9544,19301106,贵州省,,By side of stream,Herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00866304.jpg,,,,,,,,,, +,Parnassia obovata,Y. Tsiang,9544,1930/11/6,,,,,,https://image.cvh.ac.cn/files/l/NY/00186144.jpg,,,,,,,,,, +细叉梅花草,Parnassia oreophila,王作宾,17083,19530731,宁夏回族自治区,2500,生草滩中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00866335.jpg,,,,,,,,,, +细叉梅花草,Parnassia oreophila,白荫元, 芬茨而,2318,1934/ /,青海省 ,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0075648.jpg,,,,,,,,,, +细叉梅花草,Parnassia oreophila,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1338-3082,20190817,宁夏,2591,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1474355.jpg,,,,,,,,,, +类三脉梅花草,Parnassia pusilla,刘丹辉,170173,20170624,四川,3918,灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0050091.jpg,,,,,,,,,, +三脉梅花草,Parnassia pusilla,宁宇,MA-M-0081,20150812,甘肃,3440,不积水, 沼泽化草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0008001.jpg,,,,,,,,,, +类三脉梅花草,Parnassia pusilla,,12674,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0656587.jpg,,,,,,,,,, +青铜钱,Parnassia tenella,康藏植物考察队,10-2869,20100826,云南省,3000,山谷林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873312.jpg,,,,,,,,,, +青铜钱,Parnassia tenella,FLPH Tibet Expedition,12-1328,20120916,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966800.jpg,,,,,,,,,, +青铜钱,Parnassia tenella,,s.n,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00866632.jpg,,,,,,,,,, +西藏梅花草,Parnassia tibetana,"Exped.,Zhufengensis",716,19590802,西藏自治区,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863973.jpg,,,,,,,,,, +娇媚梅花草,Parnassia venusta,刘振书,940,19340000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01982440.jpg,,,,,,,,,, +娇媚梅花草,Parnassia venusta,青藏队,10118,19820908,西藏自治区,3800,山沟灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982416.jpg,,,,,,,,,, +,Parnassia venusta,孙必兴等,1032,19730716,云南省,3800,山顶草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982415.jpg,,,,,,,,,, +,Parnassia viridiflora,,6005,19600109,江西,,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00012768.jpg,,,,,,,,,, +绿花梅花草,Parnassia viridiflora,杨金祥,1985,1963/7/30,西藏,5000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0215550.jpg,,,,,,,,,, +,Parnassia viridiflora,邱爱军,张玲,LiZJ1796,20100816,新疆,2105,山前草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237788.jpg,,,,,,,,,, +鸡眼梅花草,Parnassia wightiana,中国科学院华南植物所等,6901,19870906,福建省,,溪边,河滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869775.jpg,,,,,,,,,, +鸡眼梅花草,Parnassia wightiana,"喻勋林,徐永福,黄娟",80090,20080809,湖北省,2852,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869764.jpg,,,,,,,,,, +鸡眼梅花草,Parnassia wightiana,,,19750908,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01869774.jpg,,,,,,,,,, +,Parochetus communis,PE西藏考察队,7925,20180626,,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333789.jpg,,,,,,,,,, +长柄地锦,Parthenocissus feddei,李盛兰,GanQL778,20150920,湖北,720,路边石岩上,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1452107.jpg,,,,,,,,,, +长柄地锦,Parthenocissus feddei,黔南队,2202,19590607,贵州省,800,山谷,灌丛中,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0456588.jpg,,,,,,,,,, +长柄地锦,Parthenocissus feddei,周丰杰,179,20040524,湖南省,780,山坡山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01611834.jpg,,,,,,,,,, +花叶地锦,Parthenocissus henryana,李小杰 ,LiXJ803,20161013,四川,538,山坡林缘,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1438842.jpg,,,,,,,,,, +花叶地锦,Parthenocissus henryana,傅坤俊,5384,19520807,陕西省,640,生于石崖上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00687747.jpg,,,,,,,,,, +花叶地锦,Parthenocissus henryana,姚习山,10539,19850708,湖北,1000,山坡沟边,,有花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0007080.jpg,,,,,,,,,, +三叶地锦,Parthenocissus semicordata,张庆费、钟鑫、易逸瑜、杨子欣、李晓晨,ZX02115,20170702,浙江,795.19,溪流沟谷,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0151958.jpg,,,,,,,,,, +三叶地锦,Parthenocissus semicordata,邓婕妤,20180324-042,20180324,贵州,1125,阔叶林,,无花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0010096.jpg,,,,,,,,,, +三叶地锦,Parthenocissus semicordata,泛喜马拉雅植物志巴基斯坦采集队,1803,20120916,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005916.jpg,,,,,,,,,, +,Parvatia brunoniana,PE-古蔺考察队,406,20100905,四川省,1502~850,"山谷,林中",,有花无果,https://image.cvh.ac.cn/files/l/PE/01864203.jpg,,,,,,,,,, +牛藤果,Parvatia brunoniana,廖文波等,JGS-1736,20101121,江西,,, ,无花有果,https://image.cvh.ac.cn/files/l/SYS/SYS00208404.jpg,,,,,,,,,, +,Parvatia brunoniana,李国凤,64235,19570918,重庆市,970,林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01030095.jpg,,,,,,,,,, +类雀稗,Paspalidium flavidum,华南分队,2560,1989-10-,广西壮族自治区,300M,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0124028.jpg,,,,,,,,,, +类雀稗,Paspalidium flavidum,王启无,77752,1936/8/20,云南省,950,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0035143.jpg,,,,,,,,,, +类雀稗,Paspalidium flavidum,G.A.Fu,6037A,1986-09-,海南省,80M,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0124027.jpg,,,,,,,,,, +两耳草,Paspalum conjugatum,Tsang & Fung,,1929/6/6,海南; HAINAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00012744.jpg,,,,,,,,,, +两耳草,Paspalum conjugatum,唐赛春、潘玉梅,RQXN08183,20160121,广西省,289.1858,路边、荒地,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0125989.jpg,,,,,,,,,, +两耳草,Paspalum conjugatum,Hu & But,22436,19930703,香港特别行政区,,Perennial grass growing in gardens and on lawn,,,https://image.cvh.ac.cn/files/l/KUN/1293301.jpg,,,,,,,,,, +长萼堇菜,Paspalum longifolium,刘文霞,2877,20090627,湖北,196,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1902877.jpg,,,,,,,,,, +长叶雀稗,Paspalum longifolium,Anouymous,1276,19580731,浙江省,50,,草本,无花有果,https://image.cvh.ac.cn/files/l/HHBG/HZ034360.jpg,,,,,,,,,, +长叶雀稗,Paspalum longifolium,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201356,20200729,西藏,2224,草地上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1506745.jpg,,,,,,,,,, +雀稗,Paspalum scrobiculatum,汪劲武,748181,19740816,江西,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0046466.jpg,,,,,,,,,, +囡雀稗,Paspalum scrobiculatum,葛斌杰、陈彬、沈彬、顾钰峰,GBJ03906,20140828,福建,258,林缘,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0038121.jpg,,,,,,,,,, +鸭乸草,Paspalum scrobiculatum,"何观州,刘林翰",16318,1963/10/18,湖南,1080,,直立草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0257674.jpg,,,,,,,,,, +圆果雀稗,Paspalum scrobiculatum var. orbiculare,路端正,810314,19811013,江西,200,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00003004.jpg,,,,,,,,,, +圆果雀稗,Paspalum scrobiculatum var. orbiculare,阳朔县普查队,450321180503006LY,20180503,广西,145,灌丛,路旁,石灰土,一般野生,草本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00415193.jpg,,,,,,,,,, +圆果雀稗,Paspalum scrobiculatum var. orbiculare,李振宇、范晓虹、于胜祥、龚国祥、熊永红,RQHZ10554,20140903,湖北省,108,草地,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0141772.jpg,,,,,,,,,, +龙珠果,Passiflora foetida,无,650449,,云南省 ,0,,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0489834.jpg,,,,,,,,,, +龙珠果,Passiflora foetida,"王超勇, 林灯, 龙文兴",LWX30025,20131008,海南,153,半落叶季雨林,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1453211.jpg,,,,,,,,,, +龙珠果,Passiflora foetida,橡胶考察队,5305,1963-07-,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0116679.jpg,,,,,,,,,, +,Passiflora leschenaultii,,,,,,,,,,,,,,,,,,, +,Passiflora napalensis,,,,,,,,,,,,,,,,,,, +镰叶西番莲,Passiflora wilsonii,生态室高原组,11404,19800727,西藏自治区,1900,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01447167.jpg,,,,,,,,,, +,Passiflora wilsonii,A. Henry,11791,,,,,,,https://image.cvh.ac.cn/files/l/NY/00110494.jpg,,,,,,,,,, +镰叶西番莲,Passiflora wilsonii,,不详,,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1265861.jpg,,,,,,,,,, +骆驼蓬,Peganum harmala,"王计平, 张斌武, 刘俊良",NMXB18252Y1C01,20180923,内蒙古,1022,荒漠草原,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1456819.jpg,,,,,,,,,, +骆驼蓬,Peganum harmala,黄河调查队,7807,19560824,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607308.jpg,,,,,,,,,, +骆驼蓬,Peganum harmala,何廷农,986,19890721,青海省,2600,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01681185.jpg,,,,,,,,,, +,Peganum multisectum,Y.Y.Pai,189,19330924,,1250,slope of coarse sandy region,,有花有果,https://image.cvh.ac.cn/files/l/PE/00972660.jpg,,,,,,,,,, +,Peganum multisectum,"吴征镒,陈书坤,杜庆,庐树林",75-756,19750713,新疆维吾尔自治区,3650,河滩沙地路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02101227.jpg,,,,,,,,,, +,Peganum multisectum,杨喜林,44,19620523,宁夏回族自治区,,河滩地带,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101236.jpg,,,,,,,,,, +藤漆,Pegia nitida,美登木调查队,13861,19760302,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/029965.jpg,,,,,,,,,, +藤漆,Pegia nitida,李渤生等,4161,19830420,西藏自治区,700,常阔林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804600.jpg,,,,,,,,,, +藤漆,Pegia nitida,冯国楣,22444,1962/5/5,云南,1300,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0270392.jpg,,,,,,,,,, +,Pelargonium hortorum,,405,19610200,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01609215.jpg,,,,,,,,,, +天竺葵,Pelargonium hortorum,Anonymous,434,19650419,浙江省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ021067.jpg,,,,,,,,,, +天竺葵,Pelargonium hortorum,"王玉雷,李方",36,19760418,天津市,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00018459.jpg,,,,,,,,,, +盾柱木,Peltophorum pterocarpum,周仕顺,1206,20030731,,580,百草园,,无花有果,https://image.cvh.ac.cn/files/l/PE/01140456.jpg,,,,,,,,,, +白草,Pennisetum flaccidum,于景华,于景华635,20150726,辽宁,787.9 米,百里香针茅群落、丘陵、温性山地草甸类,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0258958.jpg,,,,,,,,,, +,Pennisetum flaccidum,,549,19170610,重庆市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00600762.jpg,,,,,,,,,, +白草,Pennisetum flaccidum,J.F.Rock,6018,22-May,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00013893.jpg,,,,,,,,,, +御谷,Pennisetum glaucum,"朱鑫鑫,徐坤,王雨鑫,李静玉,党慧杰",ZXX18786,20181031,河南,248,亚热带,山坡上,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1480365.jpg,,,,,,,,,, +,Pennisetum glaucum,付竞秋,538,1958/9/9,河南省,470,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0115936.jpg,,,,,,,,,, +矮野狗尾草,Pennisetum glaucum,杨婷婷,C490056,20110718,云南省,570,能源植物园,草本,,https://image.cvh.ac.cn/files/l/HITBC/0024223.jpg,,,,,,,,,, +,Pennisetum hohenackeri,,,,,,,,,,,,,,,,,,, +西藏狼尾草,Pennisetum lanatum,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-1574,20080922,西藏,3873,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403313.jpg,,,,,,,,,, +西藏狼尾草,Pennisetum lanatum,青藏队植被组,4569,19750715,西藏自治区,1850~2000,河谷平地 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01484224.jpg,,,,,,,,,, +西藏狼尾草,Pennisetum lanatum,谢登峰、卫静丽,2030905,20190926,四川,3116,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/SZ/02030905.jpg,,,,,,,,,, +细园藤,Pericampylus glaucus,高锡明,52234,19320427,海南,,,藤本,无花有果,https://image.cvh.ac.cn/files/l/SN/SN009361.jpg,,,,,,,,,, +细圆藤,Pericampylus glaucus,张代贵,YH150809501,20150809,湖南湘西州,,林下,藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU45501.jpg,,,,,,,,,, +细圆藤,Pericampylus glaucus,刘开桃等,522633190420012LY,20190420,贵州,557.3,旱生、耐阴、中温、野生植物,藤本植物,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0096366.jpg,,,,,,,,,, +,Phaenosperma globosum,北京队,910,19880602,湖南省,220~270,路边 草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01321397.jpg,,,,,,,,,, +,Phaenosperma globosum,Kenji Inoue,100706,19900719,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089186.jpg,,,,,,,,,, +,Phaenosperma globosum,谭策铭,2281,20020802,江西省,,,,无花有果,https://image.cvh.ac.cn/files/l/JJF/00004502.jpg,,,,,,,,,, +,Phanera macrostachya,,,,,,,,,,,,,,,,,,, +,Phanera ornata var. kerrii,,,,,,,,,,,,,,,,,,, +,Phanera scandens,,,,,,,,,,,,,,,,,,, +,Phanera vahlii,,,,,,,,,,,,,,,,,,, +菜豆,Phaseolus vulgaris,E.Westphal,8982,19751205,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01958463.jpg,,,,,,,,,, +高山梯牧草,Phleum alpinum,青藏队植被组,4107,19750620,西藏自治区,3600,西岸 价地及河漫滩上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01401869.jpg,,,,,,,,,, +高山梯牧草,Phleum alpinum,扎西次仁,ZhongY025,20080728,西藏,,高山草地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1403356.jpg,,,,,,,,,, +高山梯牧草,Phleum alpinum,T.P.Wang,1876,1933/8/8,陕西; SHENSI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00014457.jpg,,,,,,,,,, +梯牧草,Phleum pratense,Paul A.Schmalzer,1245,19800624,Tennessee,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/388302.jpg,,,,,,,,,, +梯牧草,Phleum pratense,学生,,19870809,黑龙江,,,,有花无果,https://image.cvh.ac.cn/files/l/NEAU/NEAU0002753.jpg,,,,,,,,,, +梯牧草,Phleum pratense,傅德志,87-1585,19870801,四川省,1800,山坡草丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01929989.jpg,,,,,,,,,, +中华石楠,Photinia beauverdiana,"李根有,马丹丹",ZJFC059,20070925,浙江省,1330,山腰,,无花有果,https://image.cvh.ac.cn/files/l/PE/01863479.jpg,,,,,,,,,, +中华石楠,Photinia beauverdiana,李小杰,LiXJ246,20121108,四川,,路边荒地,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395150.jpg,,,,,,,,,, +中华石楠,Photinia beauverdiana,李盛兰,GanQL1096,20171024,湖北,779,溪边杂林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445379.jpg,,,,,,,,,, +布丹石楠,Photinia griffithii,J.M.Delavay,,18890000,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00374063.jpg,,,,,,,,,, +全缘石楠,Photinia integrifolia,Forrest,25838,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00075004.jpg,,,,,,,,,, +全缘石楠,Photinia integrifolia,"张挺, 杨湘云, 李涟漪, 杨忠兰",14CS8991,20141106,云南,,河谷山坡林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395153.jpg,,,,,,,,,, +全缘石楠,Photinia integrifolia,尹志坚等,1054,20090713,云南省,2600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902407.jpg,,,,,,,,,, +桃叶石楠,Photinia prunifolia,,,,湖南; HUNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00075131.jpg,,,,,,,,,, +桃叶石楠,Photinia prunifolia,Tsiang Ying,1150,1928/9/9,广东; KWANGTONG,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00075088.jpg,,,,,,,,,, +桃叶石楠,Photinia prunifolia,,,19560000,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0319620.jpg,,,,,,,,,, +,Phragmites australis,,1901,19640919,甘肃省,,干湖底,,有花有果,https://image.cvh.ac.cn/files/l/PE/00601736.jpg,,,,,,,,,, +芦苇,Phragmites australis,刘正宇、张军等,RQHZ06351-01,20141209,重庆,529,溪边,草本,有花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0082695.jpg,,,,,,,,,, +芦苇,Phragmites australis,张代贵,ZB130301482,20130301,湖北神农架,,溪边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU25482.jpg,,,,,,,,,, +卡开芦,Phragmites karka,钟明哲,3404,20080911,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088690.jpg,,,,,,,,,, +卡开芦,Phragmites karka,伊廷双,杨杨,孟静,MJ-612,20070917,四川,2213,路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403420.jpg,,,,,,,,,, +卡开芦,Phragmites karka,P.J.O.Connor,15.295,19790907,Peninsular,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/388462.jpg,,,,,,,,,, +滇藏叶下珠,Phyllanthus clarkei,弄岗队,11026,19791011,广西省,200,山谷密林,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0006765.jpg,,,,,,,,,, +滇藏叶下珠,Phyllanthus clarkei,Mohini Makhija,s.n.,19591218,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0325908.jpg,,,,,,,,,, +滇藏叶下珠,Phyllanthus clarkei,"张挺, 刘成, 蔡磊",14CS9540,20141212,云南,,香蕉地边箐沟中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395119.jpg,,,,,,,,,, +越南叶下珠,Phyllanthus cochinchinensis,叶国栋,804,19780515,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/FJSI/012222.jpg,,,,,,,,,, +越南叶下珠,Phyllanthus cochinchinensis,叶华谷等,8283,20030413,澳门,50,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0325954.jpg,,,,,,,,,, +越南叶下珠,Phyllanthus cochinchinensis,南丹普查队,451221171030006LY,20171030,广西,343.8,阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0199327.jpg,,,,,,,,,, +锐叶小还魂,Phyllanthus debilis,邢福武等,5357,19950308,海南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0326010.jpg,,,,,,,,,, +,Phyllanthus debilis,C.M.Wang,4020,19991126,台湾省,380,on road side of boardleaf forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01680435.jpg,,,,,,,,,, +锐叶小还魂,Phyllanthus debilis,王学文等,300,19841024,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0326006.jpg,,,,,,,,,, +余甘子,Phyllanthus emblica,东兴市普查队,450681170824049LY,20170824,广西,24,灌丛,路旁,沙土,少野生,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00418091.jpg,,,,,,,,,, +余甘子,Phyllanthus emblica,H.Ohashi et al.,5119,,海南省,370~380,edge of evergreen thickets,,无花无果,https://image.cvh.ac.cn/files/l/PE/01629850.jpg,,,,,,,,,, +余甘子,Phyllanthus emblica,王德祯,139,19620715,海南省 ,100,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0326055.jpg,,,,,,,,,, +落萼叶下珠,Phyllanthus flexuosus,孙林,ZZ150604883,20150604,江西吉安,,路旁,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU59883.jpg,,,,,,,,,, +落萼叶下珠,Phyllanthus flexuosus,詹选怀、彭焱松等,LXP2137,20140708,湖北,639,山坡、密林,灌木,无花有果,https://image.cvh.ac.cn/files/l/LBG/LBG00129811.jpg,,,,,,,,,, +,Phyllanthus flexuosus,关克俭,74165,19740811,江西省,,公路旁山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01007705.jpg,,,,,,,,,, +,Phyllanthus glaucus,吴宝成,熊豫宁,卞桂兰,TT0034,20110926,江苏,,山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00605557.jpg,,,,,,,,,, +青灰叶下珠,Phyllanthus glaucus,He Qi-guo,3月10日,19790518,湖北省,500,moist,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239820.jpg,,,,,,,,,, +青灰叶下珠,Phyllanthus glaucus,"张桥蓉, 李涟漪, 李松强, 郭永杰",17CS14725,20170914,浙江,86,路边林缘,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1457339.jpg,,,,,,,,,, +,Phyllanthus reticulatus,梁向日,62843,19330902,海南省,,空旷丛林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01064039.jpg,,,,,,,,,, +,Phyllanthus reticulatus,C.Huang,163060,,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01064038.jpg,,,,,,,,,, +,Phyllanthus reticulatus,章绍尧,3098,19580713,浙江省,,山谷路旁林下溪边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01007990.jpg,,,,,,,,,, +,Phyllanthus rheophyticus,"张挺, 蔡杰",15CS10942,20150825,海南,559,河谷岸边林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445790.jpg,,,,,,,,,, +,Phyllanthus tetrandrus,,,,,,,,,,,,,,,,,,, +叶下珠,Phyllanthus urinaria,吴磊、李雄、刘昂、刘文剑,7525,20190906,湖南,350~450,山谷密林,直立草本,有花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI072044.jpg,,,,,,,,,, +叶下珠,Phyllanthus urinaria,郭文秀,SK201405153,20140702,河北,1200米,路边,,有花有果,https://image.cvh.ac.cn/files/l/HBU/HBU0003288.jpg,,,,,,,,,, +叶下珠,Phyllanthus urinaria,谭仕兴,514,20050628,贵州省,980,林缘草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01680423.jpg,,,,,,,,,, +,Phyllodium pulchellum,ARAKI,s.n.,19271120,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01932153.jpg,,,,,,,,,, +,Phyllolobium chapmanianum,,,,,,,,,,,,,,,,,,, +,Phyllolobium donianum,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1936,20130823,,3350,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992292.jpg,,,,,,,,,, +,Phyllolobium heydei,,,,,,,,,,,,,,,,,,, +,Phyllolobium milingense,,,,,,,,,,,,,,,,,,, +奇异膨果豆,Phyllolobium prodigiosum,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20461,20200617,,3662,荒地上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507541.jpg,,,,,,,,,, +?乡城膨果豆,Phyllolobium sanbilingense,杨文光,DT7168,20190725,,3108,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1513920.jpg,,,,,,,,,, +,Phyllolobium tanguticum,,,,,,,,,,,,,,,,,,, +,Phyllolobium tingriense,"张挺, 刘成, 亚吉东",18CS17692,20180916,,3743,林缘路边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484536.jpg,,,,,,,,,, +,Phyllolobium tribulifolium,PE西藏队,PE5036,20170824,,3522,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334242.jpg,,,,,,,,,, +美竹,Phyllostachys mannii,张丽娜,张玉霄,12116,20120614,江苏省,,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1262569.jpg,,,,,,,,,, +美竹,Phyllostachys mannii,李书清,3,19780528,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01644477.jpg,,,,,,,,,, +美竹,Phyllostachys mannii,王诗云,丁小东,702,19800510,湖北省,0~1100,,,无花无果,https://image.cvh.ac.cn/files/l/N/019017048_1.jpg,,,,,,,,,, +华中冷水花,Pilea angulata,刘晓龙,477,19870518,安徽省,1100,溪谷阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862326.jpg,,,,,,,,,, +,Pilea angulata,赣南采集队,1095,20071104,江西省,460,小溪边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01862283.jpg,,,,,,,,,, +长柄冷水花,Pilea angulata,赵万义,孙键,杨文晟,LXP-13-10256,20130731,江西省宜春市,,,,,https://image.cvh.ac.cn/files/l/SYS/SYS00181256.jpg,,,,,,,,,, +长柄冷水花,Pilea angulata subsp. petiolaris,刘正宇,14495,19940902,重庆市,1960,洞旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847016.jpg,,,,,,,,,, +长柄冷水花,Pilea angulata subsp. petiolaris,赵万义,孙键,杨文晟,LXP-13-10256,20130731,江西省宜春市,,,,,https://image.cvh.ac.cn/files/l/SYS/SYS00181256.jpg,,,,,,,,,, +长柄冷水花,Pilea angulata subsp. petiolaris,谭策铭,971092,19970716,江西省,1100,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847010.jpg,,,,,,,,,, +异叶冷水花,Pilea anisophylla,李鸣冈,461,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0375792.jpg,,,,,,,,,, +异叶冷水花,Pilea anisophylla,西藏考察队,STET1169,20100724,西藏自治区,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108096.jpg,,,,,,,,,, +异叶冷水花,Pilea anisophylla,"刘恩德, 邹娇",LED9228,20191113,云南,1004,沟谷溪边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1495156.jpg,,,,,,,,,, +顶叶冷水花,Pilea approximata,,493,19750704,西藏自治区,3000,高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862324.jpg,,,,,,,,,, +顶叶冷水花,Pilea approximata,Gaoligong Shan Biodiversity Survey,28394,20050815,云南省,2790,Subtropical,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865693.jpg,,,,,,,,,, +顶叶冷水花,Pilea approximata,M.Suzuki etc.,9192184,19910806,,980,open slopes,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1264341.jpg,,,,,,,,,, +,Pilea approximata var. incisoserrata,,,,,,,,,,,,,,,,,,, +山谷冷水花,Pilea aquarum,曾宪锋,ZXF41485,20181027,广东,557,山谷水湿处,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0036751.jpg,,,,,,,,,, +湿生冷水花,Pilea aquarum,王启无,88428,19400413,云南省 ,1000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0375826.jpg,,,,,,,,,, +湿生冷水花,Pilea aquarum,孙键,赵万义,张忠,LXP13-7568,20131021,江西省吉安市,,山谷、壤土、疏林、溪边、常见种,陆生、藤本、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00181181.jpg,,,,,,,,,, +五萼冷水花,Pilea boniana,"税玉民,陈文红,盛家舒",31095,20021010,云南省,,南坡常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869015.jpg,,,,,,,,,, +五萼冷水花,Pilea boniana,S.W.Teng,1014,19350822,贵州省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0375727.jpg,,,,,,,,,, +五萼冷水花,Pilea boniana,中植联广西队,1315,20080527,广西壮族自治区,250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014232.jpg,,,,,,,,,, +多苞冷水花,Pilea bracteosa,德昌队,172,19780715,四川省,2000,溪涧,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM702301016.jpg,,,,,,,,,, +多苞冷水花,Pilea bracteosa,李红、和仕波,533324180830594LY,20180830,云南,2212,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009766.jpg,,,,,,,,,, +多苞冷水花,Pilea bracteosa,邓洪平,CN4288,20080420,四川,760,林下,,有花无果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0001423.jpg,,,,,,,,,, +点乳冷水花,Pilea glaberrima,中越考察队,1248,19650108,,500~800,次生林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01843908.jpg,,,,,,,,,, +点乳冷水花,Pilea glaberrima,王树嘉,1199,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01843895.jpg,,,,,,,,,, +点乳冷水花,Pilea glaberrima,北京植物所横断山队,438,19810606,云南省,1700,两岸沟谷林下水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032661.jpg,,,,,,,,,, +贡觉冷水花,Pilea gongjueensis,康藏植物考察队,10-1886,20100814,西藏自治区,3800,山谷林缘草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050306.jpg,,,,,,,,,, +翠茎冷水花,Pilea hilliana,"李渤生,程树志等",913,19820915,西藏自治区,2000~2400,常绿阔叶林下优势草木,,有花无果,https://image.cvh.ac.cn/files/l/PE/00473004.jpg,,,,,,,,,, +翠茎冷水花,Pilea hilliana,田林普查队,4.51E+14,20130915,广西壮族自治区,1360,阔叶林,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI056746.jpg,,,,,,,,,, +翠茎冷水花,Pilea hilliana,武陵队,1088,19880915,湖南省,600,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01353684.jpg,,,,,,,,,, +盾基冷水花,Pilea insolens,PT-ET(Putao Expedition Team): Xiaohua JIN et al.,PT-ET754,20141020,,1516,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108102.jpg,,,,,,,,,, +盾基冷水花,Pilea insolens,South Tibet Expedition Team(STET),STET2233,20100806,西藏自治区,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02108101.jpg,,,,,,,,,, +盾基冷水花,Pilea insolens,"刘成, 亚吉东, 李昌洪",18CS17163,20181111,西藏,1062,路边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486633.jpg,,,,,,,,,, +山冷水花,Pilea japonica,,长镇0873,19600710,湖北省,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01846858.jpg,,,,,,,,,, +山冷水花,Pilea japonica,张代贵、陈功锡、孙林、肖佳伟,LXP-06-9116,20151008,江西萍乡,629,山谷,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU56407.jpg,,,,,,,,,, +山冷水花,Pilea japonica,朱俊宇,172,20210717,福建,544,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU090835.jpg,,,,,,,,,, +,Pilea lageensis,,,,,,,,,,,,,,,,,,, +条叶冷水花,Pilea linearifolia,杨璐,20185148,20180418,贵州省,519,路边石上,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0025372.jpg,,,,,,,,,, +条叶冷水花,Pilea linearifolia,吴征镒等,75-551,19750704,西藏自治区,3100,高山栎幼林下大石上,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00023789.jpg,,,,,,,,,, +,Pilea linearifolia,"吴征镒, 陈书坤, 杜庆, 庐树林",75-551,19750704,西藏,3100,高山栎幼林林下大石上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1207569.jpg,,,,,,,,,, +鱼眼果冷水花,Pilea longipedunculata,"余新林, 赵玮",BSGLGStc355,20160905,云南,2533,中山湿性常绿阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1450507.jpg,,,,,,,,,, +鱼眼果冷水花,Pilea longipedunculata,覃海宁等,2012,19981104,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985386.jpg,,,,,,,,,, +鱼眼果冷水花,Pilea longipedunculata,Gaoligong Shan Biodiversity Survey,25533,20050804,云南省,1140,Grassland.Disturbed by agriculture.Growing along trail.In humus on slate,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014207.jpg,,,,,,,,,, +大叶冷水花,Pilea martini,巴山采集队,2425,20080728,重庆市,1330,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862575.jpg,,,,,,,,,, +大叶冷水花,Pilea martini,"吴增源,刘杰",WuZY2012238,20120821,湖北省,874,无,,,https://image.cvh.ac.cn/files/l/KUN/1277607.jpg,,,,,,,,,, +大叶冷水花,Pilea martini,唐忠炳,20160606022,20160606,江西,749,路边林下,,有花无果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0007629.jpg,,,,,,,,,, +墨脱冷水花,Pilea medogensis,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0748,20130808,西藏自治区,,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993228.jpg,,,,,,,,,, +长序冷水花,Pilea melastomoides,Ching-I Peng,14728,19911106,台湾省,700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846955.jpg,,,,,,,,,, +长序冷水花,Pilea melastomoides,高连明,GLM-103067,20100906,台湾,1600,路边,林下,山坡,,,https://image.cvh.ac.cn/files/l/KUN/1277778.jpg,,,,,,,,,, +冷水花属,Pilea melastomoides,倪志诚,280,19830530,西藏,900,河谷长绿林之下,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0001271.jpg,,,,,,,,,, +念珠冷水花,Pilea monilifera,罗林波,243,19940823,湖南省,1200,阴湿山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901451.jpg,,,,,,,,,, +念珠冷水花,Pilea monilifera,邓良,7278,19580829,广东省,750,,草本直立,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00298688.jpg,,,,,,,,,, +念珠冷水花,Pilea monilifera,邓良,7278,19580829,广东,,水旁、山谷、疏林、石上,草本直立,有花无果,https://image.cvh.ac.cn/files/l/AU/AU087382.jpg,,,,,,,,,, +雅致冷水花,Pilea oxyodon,PE西藏队,PE6080,20170906,西藏自治区,2935,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293771.jpg,,,,,,,,,, +雅致冷水花,Pilea oxyodon,Gaoligong Shan Biodiversity Survey,21917,20041027,云南省,1370,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01865750.jpg,,,,,,,,,, +盾叶冷水花,Pilea peltata,贵州队,5391,19600615,贵州省,1300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0376414.jpg,,,,,,,,,, +盾叶冷水花,Pilea peltata,平乐县普查队,450330180910022LY,20180910,广西,87,阔叶林,林缘,石灰土,多野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00412753.jpg,,,,,,,,,, +,Pilea peltata,To Kang Peng,651987,19210416,广东省,,Mountain side,,无花无果,https://image.cvh.ac.cn/files/l/PE/00473613.jpg,,,,,,,,,, +假冷水花,Pilea pseudonotata,吉首大学生物资源与环境科学学院,GWJ20170610_0086,20170610,湖南,402,林下,亚灌木,无花无果,https://image.cvh.ac.cn/files/l/JIU/JIU31913.jpg,,,,,,,,,, +假冷水花,Pilea pseudonotata,张寿洲、周明顺,09-181,20090403,云南省 ,1400,,,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00004396.jpg,,,,,,,,,, +假冷水花,Pilea pseudonotata,中越考察队,1920,19650207,,1000~1100,常绿阔叶林下水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01843972.jpg,,,,,,,,,, +透茎冷水花,Pilea pumila,赵常明,EX1998,20080927,湖北省,870,水渠边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862550.jpg,,,,,,,,,, +,Pilea pumila,"刘玫,王臣,张欣欣,史传奇",Liuetal723,20140902,黑龙江省,317,林下阴湿处,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1328317.jpg,,,,,,,,,, +透茎冷水花,Pilea pumila,张代贵、陈功锡、孙林、肖佳伟,LXP-06-6780,20151002,江西吉安,633,路旁,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU56422.jpg,,,,,,,,,, +亚高山冷水花,Pilea racemosa,金佛山考察队,211,19860512,重庆市,1600,山坡较阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01843928.jpg,,,,,,,,,, +亚高山冷水花,Pilea racemosa,简焯坡等,50642,19650602,贵州省,1600,沟边阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01843932.jpg,,,,,,,,,, +亚高山冷水花,Pilea racemosa,D.E.Boufford et al.,38865,20070803,四川省,2990~3050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873632.jpg,,,,,,,,,, +细齿冷水花,Pilea scripta,辛树炽,8028,19290416,广西壮族自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0376589.jpg,,,,,,,,,, +细齿冷水花,Pilea scripta,王启无,76823,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0376596.jpg,,,,,,,,,, +细齿冷水花,Pilea scripta,刘正宇,Jan-80,19860611,重庆市,900,阴湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0036135.jpg,,,,,,,,,, +镰叶冷水花,Pilea semisessilis,,2469,19740911,西藏自治区,1600,松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01862437.jpg,,,,,,,,,, +镰叶冷水花,Pilea semisessilis,李荫昆,P01000,19570426,广西壮族自治区,,水旁 阴处 少数 丛生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01843730.jpg,,,,,,,,,, +镰叶冷水花,Pilea semisessilis,赵常明,EX1986,20080925,湖北省,1900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01862560.jpg,,,,,,,,,, +鳞片冷水花,Pilea squamosa,"李渤生,程树志等",1585,19821030,西藏自治区,2100,常绿阔叶林下主要草本,,有花无果,https://image.cvh.ac.cn/files/l/PE/00508249.jpg,,,,,,,,,, +鳞片冷水花,Pilea squamosa,邱炳云,53744,19561116,云南省,2550,干燥山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01315184.jpg,,,,,,,,,, +少鳞冷水花,Pilea squamosa,南水北调(滇西北),8174,19600415,云南,2300,山沟,阴处,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1207580.jpg,,,,,,,,,, +喙萼冷水花,Pilea symmeria,吴磊、刘文剑、邓创发、宋晓飞,9064,20190927,湖南,850~1000,山坡密林,直立草本,有花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI074012.jpg,,,,,,,,,, +亚革质冷水花,Pilea symmeria,陈少卿,16332,19580818,广西壮族自治区,700,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00070185.jpg,,,,,,,,,, +中南冷水花,Pilea symmeria,黄汉东,鲍大川,王建,1528,20150807,湖北,300,大路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0139707.jpg,,,,,,,,,, +羽脉冷水花,Pilea ternifolia,PE西藏队,PE6357,20170911,西藏自治区,3120,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293767.jpg,,,,,,,,,, +荫生冷水花,Pilea umbrosa,张清龙,63-124,19631013,四川省,3500,山坡下部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01843706.jpg,,,,,,,,,, +荫生冷水花,Pilea umbrosa,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1369,20130817,西藏自治区,2800,山谷林缘草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993235.jpg,,,,,,,,,, +荫生冷水花,Pilea umbrosa,F.Miyamoto et al.,9596153,19950726,,2105~2940,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898794.jpg,,,,,,,,,, +亚东冷水花,Pilea yadongensis,PE-西藏队,1795,20100825,西藏自治区,3310~3600,山坡、林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01876569.jpg,,,,,,,,,, +,Piptanthus concolor,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1189,20130814,,3424,山谷林缘灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01992187.jpg,,,,,,,,,, +尼泊尔黄花木,Piptanthus nepalensis,PE西藏考察队,7149,20180611,,3101,山谷灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02333749.jpg,,,,,,,,,, +,Piptanthus nepalensis var. leiocarpus,,,,,,,,,,,,,,,,,,, +,Piptanthus nepalensis var. sericopetalus,,,,,,,,,,,,,,,,,,, +,Piptatherum aequiglume,"D.E.Boufford,S.L.Kelley,R.H.Ree & S.K.Wu",29967,20000804,西藏自治区,4280,moist to wet meadows and seepages and around springs and adjacent xeric slopes dry stony slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02088928.jpg,,,,,,,,,, +,Piptatherum aequiglume,刘艳春等,394,20100914,云南省,1988,on slope,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221456.jpg,,,,,,,,,, +等颖落芒草,Piptatherum aequiglume,李永亮,王学军等,YDDXSB071,20071027,云南,1996,岩石裸露地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403427.jpg,,,,,,,,,, +,Piptatherum gracile,Wang Yun,351,20100816,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02088440.jpg,,,,,,,,,, +,Piptatherum hilariae,,,,,,,,,,,,,,,,,,, +,Piptatherum laterale,泛喜马拉雅植物志巴基斯坦采集队,FPH-0423,20120621,,4700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005592.jpg,,,,,,,,,, +,Piptatherum laterale,胡君、李丽、丁俊祥、蔡琴、许奇标,SC-a-036-B13,20170726,四川,3656.2,高山栎群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273564.jpg,,,,,,,,,, +细弱落芒草,Piptatherum laterale,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201615,20200809,西藏,4211,干旱山坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1553088.jpg,,,,,,,,,, +落芒草,Piptatherum munroi,徐朗然,506,19820816,西藏,3800,灌丛下,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0435824.jpg,,,,,,,,,, +落芒草,Piptatherum munroi,郭本兆,5677,19640806,甘肃,2200,山坡 林下,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0231121.jpg,,,,,,,,,, +落芒草,Piptatherum munroi,杨永昌,1447,19650819,青海,4200,岩石边,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0261912.jpg,,,,,,,,,, +,Piptatherum tibeticum,高信芬、彭玉兰、涂卫国,2647,20020723,四川省,2200,草坡,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0197798.jpg,,,,,,,,,, +,Piptatherum tibeticum,植物所三峡考察队,739,20080426,重庆市,451~553,峡谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855050.jpg,,,,,,,,,, +藏落芒草,Piptatherum tibeticum,郭本兆,21579,19770716,西藏,,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0344341.jpg,,,,,,,,,, +,Piptatherum tibeticum var. psilolepis,,,,,,,,,,,,,,,,,,, +黄连木,Pistacia chinensis,李盛兰,GanQL536,20130731,湖北,758,山坡杂林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1454766.jpg,,,,,,,,,, +黄连木,Pistacia chinensis,H.T.Tsai,51433,19321222,云南省 ,1500,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0423036.jpg,,,,,,,,,, +黄连木,Pistacia chinensis,张志英,15897,19630512,陕西省,1250,阳山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245878.jpg,,,,,,,,,, +,Pistacia weinmanniifolia,胡君、王东超、李丽、唐璐,SC-a-063-B02,20180802,云南,,山地灌丛中,小乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609108.jpg,,,,,,,,,, +清香木,Pistacia weinmanniifolia,汪韬,508,20200628,福建,120,路边,灌木,无花无果,https://image.cvh.ac.cn/files/l/AU/AU080756.jpg,,,,,,,,,, +清香木,Pistacia weinmanniifolia,环江县普查队,451226130430027LY,20130430,广西,643,阔叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0113093.jpg,,,,,,,,,, +豌豆,Pisum sativum,何明友 谭仲明,117018,19830427,,1200,山地栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/02097051.jpg,,,,,,,,,, +牛蹄豆,Pithecellobium dulce,刘慎谔,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01684907.jpg,,,,,,,,,, +三球悬铃木,Platanus orientalis,张宏达,3020,19440515,湖南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0346358.jpg,,,,,,,,,, +法国梧桐,Platanus orientalis,徐祥浩 丘叶,51345,19520910,广东,,栽培,乔木,无花有果,https://image.cvh.ac.cn/files/l/SN/SN007246.jpg,,,,,,,,,, +三球悬铃木,Platanus orientalis,,1816A,19121016,河北省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0346359.jpg,,,,,,,,,, +,Pleurolobus gangeticus,,,,,,,,,,,,,,,,,,, +白顶早熟禾,Poa acroleuca,郁文彬,任宗昕,艾洪莲,张舒,杨莹,SCSB-W-1027,20080920,云南,3728,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403464.jpg,,,,,,,,,, +白顶早熟禾,Poa acroleuca,陇西山考察队,0195A,19910520,福建省,400~500,山坡 路边 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01554070.jpg,,,,,,,,,, +白顶早熟禾,Poa acroleuca,张代贵,王业清,朱晓琴,"zdg,wyq,zxq0301",20170421,湖北宜昌,1083,阔叶林下路边草丛,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/JIU/HHE00796.jpg,,,,,,,,,, +,Poa albertii,,9734,19750814,四川省,4400,高山草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00924849.jpg,,,,,,,,,, +,Poa albertii,陈柔为,550,,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00924620.jpg,,,,,,,,,, +阿拉套早熟禾,Poa albertii,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20609,20200624,西藏,4055,高山草甸,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1509988.jpg,,,,,,,,,, +,Poa albertii subsp. arnoldii,"李安仁,朱家楠",7156,19580809,新疆维吾尔自治区,3020,山坡南坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00924907.jpg,,,,,,,,,, +,Poa albertii subsp. arnoldii,T.N.Ho et al.,2839,19960903,青海省,4500,Growing in scree,,有花有果,https://image.cvh.ac.cn/files/l/PE/00924905.jpg,,,,,,,,,, +,Poa albertii subsp. arnoldii,,999,19630803,吉林省,2500,阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00924891.jpg,,,,,,,,,, +,Poa albertii subsp. kunlunensis,,,,,,,,,,,,,,,,,,, +,Poa albertii subsp. lahulensis,青甘调查队,357,19590720,青海省,3800,山间宽谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/00924923.jpg,,,,,,,,,, +,Poa albertii subsp. lahulensis,青藏队植被组,5575,19750727,西藏自治区,4800,湖边石砾质湖滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/00924926.jpg,,,,,,,,,, +拉哈尔早熟禾,Poa albertii subsp. lahulensis,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201687,20200811,西藏,4193,湿地中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1509270.jpg,,,,,,,,,, +,Poa albertii subsp. poophagorum,秦自生,色06593,19740719,四川省,3900,河漫滩草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00924934.jpg,,,,,,,,,, +,Poa albertii subsp. poophagorum,杨永昌,1349,19650802,青海省,4500,河滩阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00924929.jpg,,,,,,,,,, +,Poa albertii subsp. poophagorum,R.J.Soreng et al.,5384,19970918,甘肃省,3440,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00924928.jpg,,,,,,,,,, +高山早熟禾,Poa alpina,"朱格麟,徐文友",5057,1964/5/14,新疆,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0233148.jpg,,,,,,,,,, +高山早熟禾,Poa alpina,王金亭,3518,19610712,西藏自治区,4500,平缓的高原面上,,有花有果,https://image.cvh.ac.cn/files/l/PE/02048041.jpg,,,,,,,,,, +高山早熟禾,Poa alpina,叶培忠,368,,甘肃省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/019103504.jpg,,,,,,,,,, +早熟禾,Poa annua,王阳明,11,20050325,广西壮族自治区,250,山脚 红壤 光中 湿度中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043406.jpg,,,,,,,,,, +早熟禾,Poa annua,黄迎新,366,20150721,黑龙江省齐齐哈尔市,161,草甸/盐化低地草甸/盐碱土,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0228586.jpg,,,,,,,,,, +早熟禾,Poa annua,老铁山采集队刘冰,476,20080714,辽宁省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02089645.jpg,,,,,,,,,, +,Poa araratica,包士英,1568,19590818,山西省,,山顶,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925343.jpg,,,,,,,,,, +贫叶早熟禾,Poa araratica,北师大秦岭队,TB320,20130625,陕西省,3200,山坡,草,,https://image.cvh.ac.cn/files/l/BNU/0014695.jpg,,,,,,,,,, +,Poa araratica,,4863,,青海省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925388.jpg,,,,,,,,,, +,Poa araratica subsp. ianthina,P.Licent S.J.,2487,19290822,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925450.jpg,,,,,,,,,, +,Poa araratica subsp. ianthina,青藏队,583,19870712,新疆维吾尔自治区,3400,山坡沙砾地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925454.jpg,,,,,,,,,, +,Poa araratica subsp. ianthina,青藏队,8627,19760809,西藏自治区,4650,山坡火成岩小丘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925457.jpg,,,,,,,,,, +,Poa araratica subsp. psilolepis,T.P.Wang,5752,19360815,甘肃省,3600,on weedy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925460.jpg,,,,,,,,,, +,Poa araratica subsp. psilolepis,侯伟,29028,19820731,四川省,4500,向阳的路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925477.jpg,,,,,,,,,, +,Poa araratica subsp. psilolepis,Ho Ting-nung et al.,1116,19930811,青海省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925465.jpg,,,,,,,,,, +,Poa asperifolia,T.N.Liou,5663,19321022,,5127,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01676326.jpg,,,,,,,,,, +,Poa asperifolia,贾慎修,s.n.,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925504.jpg,,,,,,,,,, +,Poa asperifolia,胡君、王东超、李丽、唐露,sc-a-078-B48,20180809,西藏,4300,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261873.jpg,,,,,,,,,, +中华早熟禾,Poa attenuata,无,70,19630816,宁夏,,渠边,,有花有果,https://image.cvh.ac.cn/files/l/LZD/LZD0001592.jpg,,,,,,,,,, +,Poa attenuata,黄河调查队,393,19540911,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01567645.jpg,,,,,,,,,, +渐尖早熟禾,Poa attenuata,路端正,,19840600,河北,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00003179.jpg,,,,,,,,,, +,Poa attenuata var. dahurica,张珍万,1906,,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925585.jpg,,,,,,,,,, +,Poa attenuata var. dahurica,傅国勋,487,19600802,西藏自治区,4380,田连杂草,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925601.jpg,,,,,,,,,, +,Poa attenuata var. dahurica,青甘调查队,771,19590801,青海省,3404,石山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925592.jpg,,,,,,,,,, +鳞茎早熟禾,Poa bulbosa,无,222,19590519,甘肃,,路边,干汫旁,,无花有果,https://image.cvh.ac.cn/files/l/LZD/LZD0001591.jpg,,,,,,,,,, +鳞茎早熟禾,Poa bulbosa,,3481,62.4.18,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00047212.jpg,,,,,,,,,, +,Poa bulbosa,苏大学,34,19850812,西藏自治区,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925703.jpg,,,,,,,,,, +,Poa bulbosa subsp. vivipara,,,,,,,,,,,,,,,,,,, +,Poa burmanica,,,,,,,,,,,,,,,,,,, +花丽早熟禾,Poa calliopsis,邱娟,冯建菊,LiuJQ0159,20080810,新疆,3087,草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403572.jpg,,,,,,,,,, +花丽早熟禾,Poa calliopsis,,780898,78.8.6,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00047214.jpg,,,,,,,,,, +,Poa calliopsis,PE西藏考察队,8012,20180629,西藏自治区,4940,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332980.jpg,,,,,,,,,, +,Poa dzongicola,,,,,,,,,,,,,,,,,,, +,Poa eleanorae,,,,,,,,,,,,,,,,,,, +湿生早熟禾,Poa faberi,无,236,19590528,陕西,,水旁路旁田埂,,无花有果,https://image.cvh.ac.cn/files/l/LZD/LZD0001614.jpg,,,,,,,,,, +法氏早熟禾,Poa faberi,"高德民,王萍,张少华,李兰,辛晓伟,王林,王旭,庞荣,张世尧,刘庆阳",lilan439,20120607,山东,110,温带草甸,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1438106.jpg,,,,,,,,,, +法氏早熟禾,Poa faberi,南开大学采集队,3,19590000,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00925909.jpg,,,,,,,,,, +,Poa gammieana,青藏队植被组,5406,19750716,西藏自治区,3600,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00039365.jpg,,,,,,,,,, +,Poa glauca,刘继孟,1947,19570729,山西省,,草地岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976103.jpg,,,,,,,,,, +,Poa glauca,F.H.Utech,367,19820716,New foundland,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/388553.jpg,,,,,,,,,, +,Poa glauca,河西队,356,19670823,甘肃省,3800,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976116.jpg,,,,,,,,,, +大穗早熟禾,Poa grandis,刘瑛 刘心源,13059,19500713,河北省,1150,mt.grassy slope,grass,有花有果,https://image.cvh.ac.cn/files/l/PE/00925793.jpg,,,,,,,,,, +,Poa grandis,生态室高原组,10355,19800625,西藏自治区,3600,冷杉林下及大叶杜鹃矮林内常见种,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976175.jpg,,,,,,,,,, +大穗早熟禾,Poa grandis,山西队,311,19540705,山西,2400,山顶 草地 阳处,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810922.jpg,,,,,,,,,, +史蒂瓦早熟禾,Poa himalayana,鞠文彬,张良,陈德奎,AZH01198,20160616,四川省,2318,阔叶林溪边林缘,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254450.jpg,,,,,,,,,, +,Poa himalayana,F.Miyamoto etc.,9410044,19940726,,3430,on mossy rocks in Abies forests,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220009.jpg,,,,,,,,,, +史蒂瓦早熟禾,Poa himalayana,鞠文彬,高云东,杨焰,THP-KD-1840,20170716,四川,3226,路边,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255060.jpg,,,,,,,,,, +,Poa hirtiglumis,秦志业,1322,19620630,青海省,2600,大通河谷路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976180.jpg,,,,,,,,,, +,Poa hirtiglumis,R.J.Soreng et al.,5506,19970928,西藏自治区,3343~5230,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976186.jpg,,,,,,,,,, +,Poa hirtiglumis,R.J.Soreng et al.,5678B,19971015,四川省,3214~4660,Growing in roadside mud.,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976187.jpg,,,,,,,,,, +,Poa hirtiglumis var. nimuana,彭玉兰、涂卫国、幸福,Gaoxf0045,20080713,四川,4300,高山草矮灌丛甸,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0205512.jpg,,,,,,,,,, +,Poa hylobates,秦仁昌,1988,19560817,新疆维吾尔自治区,2600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976228.jpg,,,,,,,,,, +,Poa hylobates,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841822.jpg,,,,,,,,,, +,Poa hylobates,太白队,56229,19560720,陕西省,2670,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976190.jpg,,,,,,,,,, +喀斯早熟禾,Poa khasiana,PE西藏考察队,7161,20180611,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333035.jpg,,,,,,,,,, +喀斯早熟禾,Poa khasiana,曲桂齡,1395,19350618,重庆市,2600,on roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976323.jpg,,,,,,,,,, +喀斯早熟禾,Poa khasiana,耿伯介,136,19570818,青海省,,平原,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00567581.jpg,,,,,,,,,, +,Poa lapponica subsp. acmocalyx,Yu,17,19350000,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976359.jpg,,,,,,,,,, +,Poa lapponica subsp. acmocalyx,王遂纲等,678,19500728,吉林省,900,路边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976358.jpg,,,,,,,,,, +拉萨早熟禾,Poa lhasaensis,岳伟,苏旭,王玉金,LiuJQ-2011-WYJ-122,20110914,西藏,3185,温带灌丛坡地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1403584.jpg,,,,,,,,,, +,Poa lhasaensis,岳伟、苏旭、王玉金,LiuJQ-191,20110918,西藏自治区,0~3661,温带灌丛坡地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0285893.jpg,,,,,,,,,, +开展早熟禾,Poa lipskyi,赵魁义,470,19810719,云南,3150,河滩沼泽,草本,无花有果,https://image.cvh.ac.cn/files/l/IGA/IGA0017408.jpg,,,,,,,,,, +疏穗早熟禾,Poa lipskyi,冯建菊,LiuJQ-fjj-0097,20100904,新疆,2846,田边荒地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403588.jpg,,,,,,,,,, +,Poa lipskyi,,7143,19740623,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00008655.jpg,,,,,,,,,, +毛稃早熟禾,Poa mairei,杨光明,SCSB-W-1135,20080707,云南,,落叶阔叶林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403592.jpg,,,,,,,,,, +毛稃早熟禾,Poa mairei,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20841,20200629,西藏,3814,岩壁上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507675.jpg,,,,,,,,,, +,Poa mairei,? E. Maire,3992,,,,,,,https://image.cvh.ac.cn/files/l/NY/00431424.jpg,,,,,,,,,, +林地早熟禾,Poa nemoralis,"包士英,严生俊",325,19590622,山西省,,潮湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976737.jpg,,,,,,,,,, +,Poa nemoralis,,,1956XX,新疆,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00041373.jpg,,,,,,,,,, +林地早熟禾,Poa nemoralis,冯天杰等,722,19900725,河北,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00003247.jpg,,,,,,,,,, +,Poa nepalensis,尹志坚,董洪进,向春雷,1697,20090723,云南,3000,"ravine “B”to “A”, forest margins",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1512056.jpg,,,,,,,,,, +,Poa nepalensis,T.Naito et al. ,825,19860512,西藏自治区,2000,On roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976980.jpg,,,,,,,,,, +,Poa nepalensis,黄河调查队,1962,19560000,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00976889.jpg,,,,,,,,,, +,Poa nitidespiculata,,,,,,,,,,,,,,,,,,, +曲枝早熟禾,Poa pagophila,治沙队,241,19590621,河南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/019104132.jpg,,,,,,,,,, +,Poa pagophila,吉林师大地理系,1309,19610715,四川省,3400,沼地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00977100.jpg,,,,,,,,,, +,Poa pagophila,W.Heise,,20080619,,200,margin of the Wisla River,,有花有果,https://image.cvh.ac.cn/files/l/PE/02089182.jpg,,,,,,,,,, +泽地早熟禾,Poa palustris,PCCZ,T215,19980817,新疆维吾尔自治区 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/183311.jpg,,,,,,,,,, +,Poa palustris,,5445,19590724,河北省,2090,石缝中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00977151.jpg,,,,,,,,,, +泽地早熟禾,Poa palustris,J.Sato,2731,19280603,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/15846015x0048.jpg,,,,,,,,,, +,Poa polycolea,PE西藏考察队,7400,20180616,西藏自治区,3635,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333052.jpg,,,,,,,,,, +,Poa polycolea,,150,19640621,青海省,4100,山地阴坡阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00977247.jpg,,,,,,,,,, +多鞘早熟禾,Poa polycolea,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-2033,20080926,西藏,3840,高山草甸,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403608.jpg,,,,,,,,,, +,Poa polyneuron,,,,,,,,,,,,,,,,,,, +草地早熟禾,Poa pratensis,朱鑫鑫;王君;王美华,ZXX21160,20210323,湖北,39,花坛里,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1561984.jpg,,,,,,,,,, +草地早熟禾,Poa pratensis,北师大队,LPS2015024,20150723,宁夏省,,灌丛草地,,,https://image.cvh.ac.cn/files/l/BNU/0019219.jpg,,,,,,,,,, +草地早熟禾,Poa pratensis,Jisaburo Ohwi,68,1931/8/8,Kuriles: ins.Shikota,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00016268.jpg,,,,,,,,,, +,Poa pratensis subsp. alpigena,R.J.Soreng et al.,5157a,19970825,内蒙古自治区,1300,mesic sandy loam soils.,,有花有果,https://image.cvh.ac.cn/files/l/PE/00977876.jpg,,,,,,,,,, +高原早熟禾,Poa pratensis subsp. alpigena,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20765,20200628,西藏,3944,高山灌丛草地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507728.jpg,,,,,,,,,, +,Poa pratensis subsp. alpigena,张玉良等,30,19500712,吉林省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00039338.jpg,,,,,,,,,, +,Poa pratensis subsp. angustifolia,,1032,19590620,河北省,1850,地势平坝阳光充足,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986029.jpg,,,,,,,,,, +,Poa pratensis subsp. angustifolia,,s.n.,19590000,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986083.jpg,,,,,,,,,, +,Poa pratensis subsp. angustifolia,金山队,50131,19650522,北京市,450,山谷内山坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986028.jpg,,,,,,,,,, +,Poa pratensis subsp. pruinosa,黄河调查队,747,19560000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986091.jpg,,,,,,,,,, +,Poa pratensis subsp. pruinosa,Harry Smith,11724,19340827,四川省,3800,in prato herboso-fruticoso.,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986089.jpg,,,,,,,,,, +,Poa pratensis subsp. staintonii,,,,,,,,,,,,,,,,,,, +,Poa pseudamoena,"郑度,张雷德,郭柯",12445,19880815,新疆维吾尔自治区,5050,山地 ,,有花有果,https://image.cvh.ac.cn/files/l/PE/00039438.jpg,,,,,,,,,, +,Poa rajbhandarii,,,,,,,,,,,,,,,,,,, +锡金早熟禾,Poa sikkimensis,滇西北金沙江队,4664,19630719,云南省,2500,山谷路边水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986220.jpg,,,,,,,,,, +锡金早熟禾,Poa sikkimensis,,110外,19820816,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986223.jpg,,,,,,,,,, +锡金早熟禾,Poa sikkimensis,"陆露, Peter W Fritsch, 张永彪, 张明英, 陈小涛",WH-2013-242,20130918,云南,3589,针叶林下路边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1451527.jpg,,,,,,,,,, +,Poa supina,巴山采集队,1262,20080707,重庆市,2350,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851057.jpg,,,,,,,,,, +,Poa supina,姜恕等,2892,19610523,四川省,3140,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986686.jpg,,,,,,,,,, +,Poa supina,王德桢,天木017,19570927,新疆维吾尔自治区,833,溪边放牧地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986684.jpg,,,,,,,,,, +四川早熟禾,Poa szechuensis,Harry Smith,1061,19210906,河北省,2300,in rupestribus,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986701.jpg,,,,,,,,,, +四川早熟禾,Poa szechuensis,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20822,20200629,西藏,3832,河滩地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505962.jpg,,,,,,,,,, +四川早熟禾,Poa szechuensis,北京所 横断山队,2881,19810810,云南省,4100,高山 流石滩顶部斑状草甸主要伴生种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447454.jpg,,,,,,,,,, +,Poa versicolor,G.Sato.,2681,19300729,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00987047.jpg,,,,,,,,,, +,Poa versicolor,虞泽荪,6525,19740707,四川省,3200,路旁草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00039479.jpg,,,,,,,,,, +,Poa versicolor,,116,19580614,浙江省,,山顶北向路边干燥,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986997.jpg,,,,,,,,,, +,Poa versicolor subsp. ochotensis,"关克俭,戴天伦",1045,19600712,河南省,1440,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986913.jpg,,,,,,,,,, +,Poa versicolor subsp. ochotensis,"包士英,严生俊",1359,19590703,山西省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986912.jpg,,,,,,,,,, +,Poa versicolor subsp. ochotensis,"司克窝而错夫,王光正,王薇",347,19510623,黑龙江省,,至帽儿山之路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986852.jpg,,,,,,,,,, +,Poa versicolor subsp. orinosa,,34223,19590713,河南省,1350,阳处密林下路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00986971.jpg,,,,,,,,,, +,Poa versicolor subsp. orinosa,"陈心启,郎楷永",2301,19640517,重庆市,1100,小路旁阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00987010.jpg,,,,,,,,,, +山地早熟禾,Poa versicolor subsp. orinosa,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-2002,20080925,西藏,4418,高山草甸,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403682.jpg,,,,,,,,,, +,Poa versicolor subsp. varia,"关克俭,戴天伦",873,19600625,河南省,,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00987103.jpg,,,,,,,,,, +,Poa versicolor subsp. varia,姜恕,9135,19610627,四川省,3400,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00987137.jpg,,,,,,,,,, +,Poa versicolor subsp. varia,黄河调查队,2851,19560000,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00987145.jpg,,,,,,,,,, +,Poa wardiana,,,,,,,,,,,,,,,,,,, +金丝草,Pogonatherum crinitum,朱鑫鑫,王君,王美华,ZXX202411,20201026,安徽,501,农地边,,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0188551.jpg,,,,,,,,,, +金丝草,Pogonatherum crinitum,T.Miyazaki,1008056,20100820,,160,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02089664.jpg,,,,,,,,,, +金丝草,Pogonatherum crinitum,何国生,862,19780519,福建省,450,林缘土坎,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855428.jpg,,,,,,,,,, +金发草,Pogonatherum paniceum,Tsui-Ya Liu,847,19950818,台湾省,345,On exposed crevices of a rocky slope.,,有花有果,https://image.cvh.ac.cn/files/l/PE/00021312.jpg,,,,,,,,,, +金发草,Pogonatherum paniceum,曾怀德,16573,1927-12-,香港,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0126078.jpg,,,,,,,,,, +金发草,Pogonatherum paniceum,阿国仁,何贵才,NJWLS1103,20111109,云南,2013,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403691.jpg,,,,,,,,,, +毛叶锥头麻,Poikilospermum lanceolatum,"李渤生,程树志等",4968,19830602,西藏自治区,850,Ficus林下常见小乔木,,有花无果,https://image.cvh.ac.cn/files/l/PE/00508517.jpg,,,,,,,,,, +毛叶锥头麻,Poikilospermum lanceolatum,高锡朋,刘心祈,王孝,100376,19400404,云南省 ,671,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0376873.jpg,,,,,,,,,, +毛叶锥头麻,Poikilospermum lanceolatum,236-6队,4582,19830319,云南省,600,公路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00565544.jpg,,,,,,,,,, +锥头麻,Poikilospermum naucleiflorum,中苏联合云南考察队,671,19560415,云南省,400,山脚阳处,路旁,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0166193.jpg,,,,,,,,,, +锥头麻,Poikilospermum naucleiflorum,,21-B,19651201,,0,疏林中,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0166197.jpg,,,,,,,,,, +,Poikilospermum naucleiflorum,"李渤生,程树志等",2628,19830121,西藏自治区,1200~850,半常绿雨林及下部常绿阔叶林中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00565216.jpg,,,,,,,,,, +锥头麻,Poikilospermum suaveolens,刀志灵;蔡磊;张品;常帅;陶丽丹;杨丰懋,KIBDZL110B02,20190417,云南,848,路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1561019.jpg,,,,,,,,,, +锥头麻,Poikilospermum suaveolens,王孝,高锡朋,刘心祈,100451,19400415,云南省 ,610,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0376879.jpg,,,,,,,,,, +锥头麻,Poikilospermum suaveolens,PE-BO Team(Zhang X-C etc.),618,20131222,,,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039775.jpg,,,,,,,,,, +,Polhillides velutina,,,,,,,,,,,,,,,,,,, +黄花远志,Polygala arillata,徐洪贵,2700,19950622,四川省,1200,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229271.jpg,,,,,,,,,, +黄花远志,Polygala arillata,236-6队,1112,19740827,福建省,,山沟水边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229244.jpg,,,,,,,,,, +荷包山桂花,Polygala arillata,,s.n.,1909-04-,西藏省,2100,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0140930.jpg,,,,,,,,,, +,Polygala bomiensis,,,,,,,,,,,,,,,,,,, +西南远志,Polygala crotalarioides,邓世纬,90908,19360915,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00017248.jpg,,,,,,,,,, +,Polygala crotalarioides,青藏队植被组,4649,19750716,西藏自治区,2200,河谷 林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538623.jpg,,,,,,,,,, +西南远志,Polygala crotalarioides,梁畴芬,吴德邻,32732,19570600,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00017243.jpg,,,,,,,,,, +,Polygala elegans,西藏中草药普查队,459,19720607,西藏自治区,2380,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932453.jpg,,,,,,,,,, +,Polygala elegans,袁明,MY435,20091031,四川,1868,常绿针叶林,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237021.jpg,,,,,,,,,, +远志,Polygala elegans,高信芬,1067,20010517,四川省,2230,灌丛下,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0184188.jpg,,,,,,,,,, +,Polygala erioptera,S.P.Banerjee,288,1964-08-,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0141258.jpg,,,,,,,,,, +,Polygala furcata,科考队,13343,20021107,江西省,1500,山坡竹林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01853421.jpg,,,,,,,,,, +肾果小扁豆,Polygala furcata,罗城县普查队,451225130804003LY,20130804,广西,331,灌丛,阳坡,石灰土,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0114089.jpg,,,,,,,,,, +肾果小扁豆,Polygala furcata,贾彧,522325180919245LY,20180919,贵州,1287,草丛、中生、阳性、中温、钙质土、野生植物,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0094715.jpg,,,,,,,,,, +,Polygala globulifera,王立彦,桂巍,SCSB-TBG-126,20081114,云南,1799,林缘公路边坡上,,,https://image.cvh.ac.cn/files/l/KUN/1237023.jpg,,,,,,,,,, +,Polygala globulifera,胡启明,2029,19560518,江西省,650,荒地上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00630374.jpg,,,,,,,,,, +,Polygala globulifera,,561,19381206,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0005048.jpg,,,,,,,,,, +,Polygala globulifera var. longiracemosa,青藏队,9179,19820809,云南省,1300~1400,山坡常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820422.jpg,,,,,,,,,, +,Polygala globulifera var. longiracemosa,生态室高原组,14152,19800810,西藏自治区,1900~2000,林下灌木层中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01494996.jpg,,,,,,,,,, +,Polygala globulifera var. longiracemosa,青藏队,9179,19820809,云南,1300~1400,山坡常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820422.jpg,,,,,,,,,, +密花远志,Polygala karensium,邵龄萱,2.02E+11,20170615,广西,,密林,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI071028.jpg,,,,,,,,,, +密花远志,Polygala karensium,C. W. Wang,85164,19391201,云南省 ,1300,under mixed forest,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00386580.jpg,,,,,,,,,, +密花远志,Polygala karensium,kai Larsen,45977,1995-08-,,1200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0141990.jpg,,,,,,,,,, +,Polygala longifolia,曹子余,756,19580919,贵州省,1200,草坡阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229200.jpg,,,,,,,,,, +长叶远志,Polygala longifolia,梁宝汉,83225,1942-09-,湖南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0142082.jpg,,,,,,,,,, +,Polygala longifolia,秦仁昌,7612,19280923,广西壮族自治区,667,on open grass hillside,,无花有果,https://image.cvh.ac.cn/files/l/PE/00631084.jpg,,,,,,,,,, +单瓣远志,Polygala monopetala,青藏队那曲分队 陶德定,11216,19760908,西藏自治区,3700~3800,河谷阳坡灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0569621.jpg,,,,,,,,,, +,Polygala monopetala,陈家辉,王赟,刘德团等,YangYP-Q-3293,20100923,西藏,3347,干旱河谷,石缝中,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237032.jpg,,,,,,,,,, +单瓣远志,Polygala monopetala,杨竞生,91-522,1991-07-,西藏省,3750,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0142094.jpg,,,,,,,,,, +,Polygala persicariifolia,王洪,4892,20010729,云南省,1200,沟谷潮湿,,无花无果,https://image.cvh.ac.cn/files/l/PE/01681244.jpg,,,,,,,,,, +蓼叶远志,Polygala persicariifolia,Y.Tsiang,12142,19330927,云南省 ,1900,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00410365.jpg,,,,,,,,,, +蓼叶远志,Polygala persicariifolia,"朱鑫鑫, 林庶, 胡梦杰",ZXX191079,20190906,云南,2130,亚热带针阔混交林,山坡上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1483748.jpg,,,,,,,,,, +西伯利亚远志,Polygala sibirica,詹选怀、彭焱松等,LXP3688,20150520,湖南,797,山坡、草地,草本,有花无果,https://image.cvh.ac.cn/files/l/LBG/LBG00129774.jpg,,,,,,,,,, +西伯利亚远志,Polygala sibirica,李书馨等,188,19590630,辽宁省,,山阴坡多石盾地灌丛间,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229349.jpg,,,,,,,,,, +西伯利亚远志,Polygala sibirica,吕清华,4224,19590924,广西壮族自治区,,山地山谷密林肥土湿土少见丛生,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229357.jpg,,,,,,,,,, +小扁豆,Polygala tatarinowii,承德,541,19710829,河北省,,阴坡石缝中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229140.jpg,,,,,,,,,, +小扁豆,Polygala tatarinowii,任宪威,880200,19880801,北京,650,石崖,草本,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00022829.jpg,,,,,,,,,, +小扁豆,Polygala tatarinowii,Han Quan-zhong,91335,19911008,云南省 ,0,,Fild,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0770682.jpg,,,,,,,,,, +远志,Polygala tenuifolia,宋春生,17870,19780600,中国河北省涉县,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/005660.jpg,,,,,,,,,, +远志,Polygala tenuifolia,藏宁队,4149,19180504,浙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229420.jpg,,,,,,,,,, +远志,Polygala tenuifolia,杜桂娟、马凤江、杨姝等,HLD-P001-45,20150808,辽宁省葫芦岛市,7,山地,坡顶,,无花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF008326.jpg,,,,,,,,,, +,Polygala triflora,A.R.Bean,30639,20101201,,356,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02063608.jpg,,,,,,,,,, +长毛远志,Polygala wattersii,C. W. Wang,88310,19400411,云南省 ,700,steep rocky slope,shrub,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00386586.jpg,,,,,,,,,, +长毛籽远志,Polygala wattersii,武隆队,500232-170,20120605,重庆,380,山地灌丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0084636.jpg,,,,,,,,,, +长毛籽远志,Polygala wattersii,华南生物多样性调查队 金效华,5145,20031008,海南省,1000~700,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229073.jpg,,,,,,,,,, +棒头草,Polypogon fugax,傅坤俊,19205,1982/10/21,山西,590,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0431667.jpg,,,,,,,,,, +棒头草,Polypogon fugax,工作站队,1598,,江苏省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00614323.jpg,,,,,,,,,, +棒头草,Polypogon fugax,罗艳,李中华,LuoY252,20100619,山东,60,水沟边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403739.jpg,,,,,,,,,, +长芒棒头草,Polypogon monspeliensis,赵魁义,144,19790719,西藏,3650,沼地,,无花有果,https://image.cvh.ac.cn/files/l/IGA/IGA0017550.jpg,,,,,,,,,, +长芒棒头草,Polypogon monspeliensis,,257,19070423,福建省,,水沟边,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00529815.jpg,,,,,,,,,, +长芒棒头草,Polypogon monspeliensis,刘坤,LiuJQ-GN-2011-387,20111002,甘肃,2254,河滩草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403759.jpg,,,,,,,,,, +水黄皮,Pongamia pinnata,侯学煜等,15064,19520323,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01609875.jpg,,,,,,,,,, +响叶杨,Populus adenopoda,,196,19790417,四川,700,,乔木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM701500003.jpg,,,,,,,,,, +响叶杨,Populus adenopoda,孙继祥,136,19800610,山东,,平原,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2018665.jpg,,,,,,,,,, +响叶杨,Populus adenopoda,,A170,,福建省,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0522756.jpg,,,,,,,,,, +银白杨,Populus alba,黄河调查队,7966,19560912,甘肃省,,路边 潮地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01570934.jpg,,,,,,,,,, +,Populus alba,王叔周,43,19250305,浙江,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2018396.jpg,,,,,,,,,, +银白杨,Populus alba,,,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00040525.jpg,,,,,,,,,, +帚形银白杨,Populus alba var. pyramidalis,刘家宜,津博0176,19780604,河北省,,,,无花有果,https://image.cvh.ac.cn/files/l/TIE/00002798.jpg,,,,,,,,,, +新疆杨,Populus alba var. pyramidalis,王战,863,19510910,辽宁省,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/03302001a0010.jpg,,,,,,,,,, +银白杨,Populus alba var. pyramidalis,王作宾,12340,1941/7/21,甘肃省,1520,,"tree , cult.",无花无果,https://image.cvh.ac.cn/files/l/WUK/0080125.jpg,,,,,,,,,, +吉隆缘毛杨,Populus ciliata,"唐宇丹,林秦文",2010-007,20100926,西藏自治区,2878,南北向沟谷西坡,沙土和腐殖土,,无花无果,https://image.cvh.ac.cn/files/l/PE/02015350.jpg,,,,,,,,,, +维西缘毛杨,Populus ciliata,毛品一,44,19560705,云南省,2850,山谷、溪旁、峻坡疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00604319.jpg,,,,,,,,,, +,Populus ciliata,汤庚国,283,,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2018431.jpg,,,,,,,,,, +吉隆缘毛杨,Populus ciliata var. gyirongensis,"唐宇丹,林秦文",2010-007,20100926,西藏自治区,2878,南北向沟谷西坡,沙土和腐殖土,,无花无果,https://image.cvh.ac.cn/files/l/PE/02015350.jpg,,,,,,,,,, +山杨,Populus davidiana,宋朝枢、朱德俊,12539,19570714,山西,1200,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00002069.jpg,,,,,,,,,, +山杨,Populus davidiana,张重岭,4,20170510,宁夏,567,山坡,,无花无果,https://image.cvh.ac.cn/files/l/YAK/YAK0005903.jpg,,,,,,,,,, +,Populus davidiana,胡君、王东超、李丽、唐露,SC-a-080-B05,20180811,西藏,,高山栎群落中,落叶乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00608842.jpg,,,,,,,,,, +灰背杨,Populus glauca,朱鑫鑫;王君;王美华;林庶;许敏;多吉;尼玛顿珠,ZXX201425,20200801,西藏,2694,水边林下,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1508930.jpg,,,,,,,,,, +灰背杨,Populus glauca,,4162,,,2400~2700,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00045293.jpg,,,,,,,,,, +灰背杨,Populus glauca,倪志诚,汪永泽,次多,次旦,788,19800725,西藏自治区,2100,河边针阔混交林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0000681.jpg,,,,,,,,,, +,Populus pamirica var. trichorachis,,,,,,,,,,,,,,,,,,, +,Populus rotundifolia,Y.Tsiang,8060,,贵州省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0346653.jpg,,,,,,,,,, +,Populus rotundifolia,攀枝花苏铁考察队,314,20100715,四川省,2246,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868577.jpg,,,,,,,,,, +清溪杨,Populus rotundifolia,杨光辉,57627,19580403,重庆,1080,,乔木,有花无果,https://image.cvh.ac.cn/files/l/SHM/SHM0003821.jpg,,,,,,,,,, +清溪杨,Populus rotundifolia var. duclouxiana,C.F.Li,7,19290000,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00605642.jpg,,,,,,,,,, +清溪杨,Populus rotundifolia var. duclouxiana,生态室高原组,10540,19800617,西藏自治区,3600,桦 林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01490742.jpg,,,,,,,,,, +清溪杨,Populus rotundifolia var. duclouxiana,,3345,19570513,山西省,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/056027014.jpg,,,,,,,,,, +藏川杨,Populus szechuanica var. tibetica,独龙江考察队,6507,19910422,云南省,2200,江边,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0523153.jpg,,,,,,,,,, +藏川杨,Populus szechuanica var. tibetica,方振富,2093,19770428,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/03302999v0068.jpg,,,,,,,,,, +藏川杨,Populus szechuanica var. tibetica,T.H.Tu,4420,19330914,四川省,2880,溪边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00704089.jpg,,,,,,,,,, +椅杨,Populus wilsonii,秦岭队,1047,19590928,陕西省,2500,山坡密林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01851835.jpg,,,,,,,,,, +椅杨,Populus wilsonii,刘正宇,790466,19790330,重庆市,1360,,乔木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0027678.jpg,,,,,,,,,, +椅杨,Populus wilsonii,曹铁如,90426,19900919,湖南省,1350,沟谷,草丛,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0523182.jpg,,,,,,,,,, +滇杨,Populus yunnanensis,姜如碧,567,19840511,贵州省,2000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0346763.jpg,,,,,,,,,, +滇杨,Populus yunnanensis,E.H.Wilson,8784,19170616,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0346766.jpg,,,,,,,,,, +滇杨,Populus yunnanensis,北京所横断山队,1124,19810626,云南省,2200~3000,公路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057435.jpg,,,,,,,,,, +北京杨,Populus × beijingensis,张志和等,5972,19900424,青海省,2240,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/162060.jpg,,,,,,,,,, +北京杨,Populus × beijingensis,朱鑫鑫,王君,王美华,林庶,许敏,多吉,ZXX20372,20200615,西藏,3595,湿地边,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1507587.jpg,,,,,,,,,, +北京杨,Populus × beijingensis,王战,2309,19520910,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/03302007x0024.jpg,,,,,,,,,, +,Populus × hopeiensis,,,,,,,,,,,,,,,,,,, +,Populus × xiaohei var. gansuensis,,,,,,,,,,,,,,,,,,, +宽柄关节委陵菜,Potentilla articulata var. latipetiolata,中日考察队,T689,19900618,西藏自治区,5300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00828829.jpg,,,,,,,,,, +宽柄关节委陵菜,Potentilla articulata var. latipetiolata,T.T.Yu,12450,19370726,云南省,3200,rocky hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/00828808.jpg,,,,,,,,,, +,Potentilla atrosanguinea,,186,19300629,,3660,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0335833.jpg,,,,,,,,,, +,Potentilla atrosanguinea var. argyrophylla,,,,,,,,,,,,,,,,,,, +五叶双花委陵菜,Potentilla biflora var. lahulensis,王作宾,14509,19510722,甘肃省,4000~4300,生高山石峰石崖上簇生成团,,有花无果,https://image.cvh.ac.cn/files/l/PE/00828891.jpg,,,,,,,,,, +五叶双花委陵菜,Potentilla biflora var. lahulensis,,5月31日,19570800,新疆维吾尔自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/126069702.jpg,,,,,,,,,, +五叶双花委陵菜,Potentilla biflora var. lahulensis,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00828895.jpg,,,,,,,,,, +矮生二裂委陵菜,Potentilla bifurca var. humilior,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841556.jpg,,,,,,,,,, +矮生二裂委陵菜,Potentilla bifurca var. humilior,何叶琪,2813,1959/6/1,内蒙,2050,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0160127.jpg,,,,,,,,,, +矮生二裂委陵菜,Potentilla bifurca var. humilior,杨金祥,5163,1984/9/15,陕西省 ,1320,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0452265.jpg,,,,,,,,,, +,Potentilla bryoides,,,,,,,,,,,,,,,,,,, +委陵菜,Potentilla chinensis,邢吉庆,16838,1959/8/27,湖北 ,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0131373.jpg,,,,,,,,,, +委陵菜,Potentilla chinensis,"苏旭, 刘峰, 吕婷, 马子兰",QTP-LJQ-1434-1085,20190821,青海,3562,山坡草地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1479099.jpg,,,,,,,,,, +委陵菜,Potentilla chinensis,王正文、刘英俊、于兴华、匡文浓,王正文0114,20140821,内蒙古自治区呼伦贝尔市,589,草地,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0234115.jpg,,,,,,,,,, +,Potentilla compacta,,,,,,,,,,,,,,,,,,, +大萼委陵菜,Potentilla conferta,"曹子余,哈米提,金健全",11,19850925,北京市,,阳坡石缝,,无花无果,https://image.cvh.ac.cn/files/l/PE/01838313.jpg,,,,,,,,,, +大萼委陵菜,Potentilla conferta,黄土高原队采集队,1003,1983/8/12,山西,1800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0443515.jpg,,,,,,,,,, +大萼委陵菜,Potentilla conferta,内蒙队,271,19630711,内蒙古自治区,,石质阳坡 顶部上部,,有花无果,https://image.cvh.ac.cn/files/l/PE/01479182.jpg,,,,,,,,,, +矮生大萼委陵菜,Potentilla conferta var. trijuga,青藏队,124,19730612,西藏自治区,2820,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00854190.jpg,,,,,,,,,, +矮生大萼委陵菜,Potentilla conferta var. trijuga,郭先林、卫静丽,2040788,20200717,四川,4617,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02040788.jpg,,,,,,,,,, +丛生荽叶委陵菜,Potentilla coriandrifolia,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,511,20120803,西藏,,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230457.jpg,,,,,,,,,, +丛生荽叶委陵菜,Potentilla coriandrifolia,F.Rock,25080,19320500,云南省 ,3965,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0336031.jpg,,,,,,,,,, +荽叶委陵菜,Potentilla coriandrifolia,M.Suzuki etc.,80800,19880730,云南省,0,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/609643.jpg,,,,,,,,,, +,Potentilla coriandrifolia var. dumosa,"Yü, Tse-tsun",22280,11-Aug-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00010736.jpg,,,,,,,,,, +丛生荽叶委陵菜,Potentilla coriandrifolia var. dumosa,Forrest,4419,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076631.jpg,,,,,,,,,, +丛生荽叶委陵菜,Potentilla coriandrifolia var. dumosa,G.Forrest,30520,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834518.jpg,,,,,,,,,, +楔叶委陵菜,Potentilla cuneata,中国西部科学院,607,19340000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00854436.jpg,,,,,,,,,, +楔叶委陵菜,Potentilla cuneata,洮河队,272,19910808,甘肃省,3500,草甸,,有花无果,https://image.cvh.ac.cn/files/l/KUN/678201.jpg,,,,,,,,,, +楔叶委陵菜,Potentilla cuneata,路端正,,20000811,青海省,3200,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00027664.jpg,,,,,,,,,, +裂叶毛果委陵菜,Potentilla eriocarpa var. tsarongensis,G.Forrest,30821,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860596.jpg,,,,,,,,,, +裂叶毛果委陵菜,Potentilla eriocarpa var. tsarongensis,青藏队,3467,19810807,四川省,4400,山坡 岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01158691.jpg,,,,,,,,,, +裂叶毛果委陵菜,Potentilla eriocarpa var. tsarongensis,,,19790705,四川,4000,向阳灌木林下、岩石缝中,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM707002214.jpg,,,,,,,,,, +耐寒委陵菜,Potentilla gelida,L.Averjanov,861,19780508,,2800~3000,Saryzhas ripa aquae cursum schistosa circa,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039854.jpg,,,,,,,,,, +耐寒委陵菜,Potentilla gelida,P.Licent S.J.,2040,19290616,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00880010.jpg,,,,,,,,,, +,Potentilla gelida,岛津制作所标本部,775,19080817,京都,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0015468.jpg,,,,,,,,,, +伏毛银露梅,Potentilla glabra var. veitchii,D. E. Boufford et al.,34680,20050812,四川省,3385,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902039.jpg,,,,,,,,,, +伏毛银露梅,Potentilla glabra var. veitchii,J.C.Liu,L.1781,19280807,河北省,1800,hill side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00880414.jpg,,,,,,,,,, +伏毛银露梅,Potentilla glabra var. veitchii,D. E. Boufford et al.,41807,20090803,西藏自治区,3850,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902041.jpg,,,,,,,,,, +柔毛委陵菜,Potentilla griffithii,于子文,WNX0830,20141102,贵州,,水旁、湿地、路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0003562.jpg,,,,,,,,,, +柔毛委陵菜,Potentilla griffithii,刘宇轩,BJTC008860,20190701,北京市,946,山坡林地,草本,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008860.jpg,,,,,,,,,, +柔毛委陵菜,Potentilla griffithii,禹平华,1268,19571011,贵州省,1500,松林中荒草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00880524.jpg,,,,,,,,,, +长柔毛委陵菜,Potentilla griffithii var. velutina,罗达尚,800987,19800726,青海省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0336532.jpg,,,,,,,,,, +长柔毛委陵菜,Potentilla griffithii var. velutina,E.E. Maire,,,云南; YUNNAN,2500,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00076713.jpg,,,,,,,,,, +长柔毛委陵菜,Potentilla griffithii var. velutina,尹志坚等,788,20090708,云南省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902425.jpg,,,,,,,,,, +假羽白背委陵菜,Potentilla hypargyrea var. subpinnata,青藏队,10219,19820909,西藏自治区,4100,山坡 流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01158910.jpg,,,,,,,,,, +假羽白背委陵菜,Potentilla hypargyrea var. subpinnata,T.T.Yu,19873,19380810,云南省,3900,Mt.slope open & rocky place,Herb perennial,有花无果,https://image.cvh.ac.cn/files/l/PE/00934245.jpg,,,,,,,,,, +假羽白背委陵菜,Potentilla hypargyrea var. subpinnata,C.W.Wang,65647,19350800,云南省 ,3900,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00355251.jpg,,,,,,,,,, +蛇含委陵菜,Potentilla kleiniana,王新,90,19920422,甘肃省,860,地边荒坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01681554.jpg,,,,,,,,,, +蛇含委陵菜,Potentilla kleiniana,王功范,1-0249,20030527,贵州省,1100,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01834740.jpg,,,,,,,,,, +蛇含委陵菜,Potentilla kleiniana,Y.Yabe,,19140819,吉林省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00355261.jpg,,,,,,,,,, +腺毛委陵菜,Potentilla longifolia,R.R.Wrbana,14723,19170807,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01819956.jpg,,,,,,,,,, +腺毛委陵菜,Potentilla longifolia,张振万等,4484,1974/8/6,新疆,1300,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0299691.jpg,,,,,,,,,, +腺毛委陵菜,Potentilla longifolia,王薇等,1954,19630715,吉林省,,路旁湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00881340.jpg,,,,,,,,,, +,Potentilla monanthes var. sibthorpioides,,,,,,,,,,,,,,,,,,, +多茎委陵菜,Potentilla multicaulis,Hao-Kin-Shen,Hao. 3237,1932/5/5,河南; HONAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076758.jpg,,,,,,,,,, +多茎委陵菜,Potentilla multicaulis,王光正,508,19510101,吉林省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0336767.jpg,,,,,,,,,, +多茎委陵菜,Potentilla multicaulis,植物系,73,1961/5/9,陕西 ,1180,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0481642.jpg,,,,,,,,,, +多裂委陵菜,Potentilla multifida,任再金,1-555,19810902,西藏自治区,3100,路旁河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838225.jpg,,,,,,,,,, +多裂委陵菜,Potentilla multifida,张韻冰,4349,19580615,吉林省,,,,有花无果,https://image.cvh.ac.cn/files/l/NEFI/051007010012001.jpg,,,,,,,,,, +多裂委陵菜,Potentilla multifida,Ki-Mon Liou,L. 2415,1934/6/6,河北; HOPEI,1900,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076759.jpg,,,,,,,,,, +,Potentilla multifida var. minor,,,,,,,,,,,,,,,,,,, +掌叶多裂委陵菜,Potentilla multifida var. ornithopoda,陈学林等,92038,19920711,甘肃省,2450,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834594.jpg,,,,,,,,,, +掌叶多裂委陵菜,Potentilla multifida var. ornithopoda,,1775,,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/126069874.jpg,,,,,,,,,, +掌叶多裂委陵菜,Potentilla multifida var. ornithopoda,82级植物2组,83073,19830703,山西,1900,,,有花无果,https://image.cvh.ac.cn/files/l/SXU/00029887.jpg,,,,,,,,,, +,Potentilla nepalensis,F.Billiet et J.Leonard,6532,19750815,,3100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01656984.jpg,,,,,,,,,, +,Potentilla nepalensis,田景全,172,19600625,北京市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839204.jpg,,,,,,,,,, +显脉委陵菜,Potentilla nervosa,青藏队植被组,9242,19760721,西藏自治区,3900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00881819.jpg,,,,,,,,,, +显脉委陵菜,Potentilla nervosa,周太炎,650582,,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0336771.jpg,,,,,,,,,, +显脉委陵菜,Potentilla nervosa,张建武,H93082,19930630,新疆维吾尔自治区,1800,森林带草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838258.jpg,,,,,,,,,, +雪白委陵菜,Potentilla nivea,C.Liu,9,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00355379.jpg,,,,,,,,,, +雪白委陵菜,Potentilla nivea,,168,19640630,青海省,4050,山间平原,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083047.jpg,,,,,,,,,, +多齿雪白委陵菜,Potentilla nivea,林业部第五森林调查队,57,1957,新疆,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0291179.jpg,,,,,,,,,, +高原委陵菜,Potentilla pamiroalaica,郭柯,K-186,19900806,青海省,4840,高寒草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468978.jpg,,,,,,,,,, +高原委陵菜,Potentilla pamiroalaica,PE西藏考察队,7724,20180623,西藏自治区,4175,流石滩,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331936.jpg,,,,,,,,,, +高原委陵菜,Potentilla pamiroalaica,C.Liu,21,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00355381.jpg,,,,,,,,,, +白毛小叶金露梅,Potentilla parvifolia var. hypoleuca,青海森林调查队,174,1963,青海,,,灌木 ,有花无果,https://image.cvh.ac.cn/files/l/WUK/0308723.jpg,,,,,,,,,, +白毛小叶金露梅,Potentilla parvifolia var. hypoleuca,宁夏药检所,73-0083,19730606,宁夏回族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834280.jpg,,,,,,,,,, +白毛小叶金露梅,Potentilla parvifolia var. hypoleuca,李馨,76257,1957/8/22,四川 ,2600,,灌木 ,有花无果,https://image.cvh.ac.cn/files/l/WUK/0251645.jpg,,,,,,,,,, +高山总梗委陵菜,Potentilla peduncularis var. abbreviata,青藏队补点组,751973,19750912,西藏自治区,4200,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841147.jpg,,,,,,,,,, +委陵菜属,Potentilla peduncularis var. abbreviata,倪志诚 汪永泽 次多 次旦,1448,19800906,西藏,4000,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0003294.jpg,,,,,,,,,, +华西委陵菜,Potentilla potaninii,雷喜亭,47,1983/6/3,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0015030.jpg,,,,,,,,,, +华西委陵菜,Potentilla potaninii,毕节队,44,19590706,贵州省,2300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838076.jpg,,,,,,,,,, +华西委陵菜,Potentilla potaninii,Henry M. Fabbe Delavay,9663 / 921,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076769.jpg,,,,,,,,,, +裂叶华西委陵菜,Potentilla potaninii var. compsophylla,金,54,19280615,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00896415.jpg,,,,,,,,,, +裂叶华西委陵菜,Potentilla potaninii var. compsophylla,,1325,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00896416.jpg,,,,,,,,,, +裂叶华西委陵菜,Potentilla potaninii var. compsophylla,,6464,0,西藏自治区,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/677673.jpg,,,,,,,,,, +钉柱委陵菜,Potentilla saundersiana,李捷,208,19930702,甘肃省,3200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841125.jpg,,,,,,,,,, +钉柱委陵菜,Potentilla saundersiana,中国科学院青甘调查队,2606,1960/6/18,青海 ,2500,,herb,无花无果,https://image.cvh.ac.cn/files/l/WUK/0167341.jpg,,,,,,,,,, +裂萼钉柱委陵菜,Potentilla saundersiana,高作纶,1417,1957/6/25,云南 ,4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0262258.jpg,,,,,,,,,, +丛生钉柱委陵菜,Potentilla saundersiana var. caespitosa,,340,19650628,青海,,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019865.jpg,,,,,,,,,, +丛生钉柱委陵菜,Potentilla saundersiana var. caespitosa,D.E.Boufford et al.,28054,19980701,四川省,4500~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834701.jpg,,,,,,,,,, +丛生钉柱委陵菜,Potentilla saundersiana var. caespitosa,青藏队藏北分队郎楷永,9682,19760710,西藏,5100,北20-30公里山坡草地,垫状草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019890.jpg,,,,,,,,,, +裂萼钉柱委陵菜,Potentilla saundersiana var. jacquemontii,T. P. Wang,5845,19360820,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00351474.jpg,,,,,,,,,, +,Potentilla saundersiana var. jacquemontii,"Forrest, George",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00010735.jpg,,,,,,,,,, +裂萼钉柱委陵菜,Potentilla saundersiana var. jacquemontii,韩裕丰等,81-1305,19810723,云南省,3900,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821841.jpg,,,,,,,,,, +羽叶钉柱委陵菜,Potentilla saundersiana var. subpinnata,姚红,522222140504112LY,20140504,贵州省,526.4,灌丛,湿生,阳性,酸性土,中温,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0055861.jpg,,,,,,,,,, +,Potentilla saundersiana var. subpinnata,Dr. Heinr Frh. v. Handel-Mazze,9755,1916/8/8,云南; YUNNAN,4300,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076780.jpg,,,,,,,,,, +羽叶钉柱委陵菜,Potentilla saundersiana var. subpinnata,俞德俊,12856,19370822,云南省 ,3600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0336858.jpg,,,,,,,,,, +,Potentilla sericea,"刘玫,王臣,张欣欣,史传奇",Liuetal701,20140827,黑龙江省,351,山坡草地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1322171.jpg,,,,,,,,,, +绢毛委陵菜,Potentilla sericea,,,19600726,四川,,阳坡农地草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM707002853.jpg,,,,,,,,,, +绢毛委陵菜,Potentilla sericea,杨宗宗,3月13日,20030601,新疆省,,,,,https://image.cvh.ac.cn/files/l/BNU/0020565.jpg,,,,,,,,,, +变叶绢毛委陵菜,Potentilla sericea var. polyschista,"罗建,林玲",LuoJian-XZ-0903,20090610,西藏自治区,4267,高山灌丛,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01904173.jpg,,,,,,,,,, +变叶绢毛委陵菜,Potentilla sericea var. polyschista,李渤生,10328,19870703,新疆维吾尔自治区,4100,草原中常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352771.jpg,,,,,,,,,, +变叶绢毛委陵菜,Potentilla sericea var. polyschista,普格队,,19790819,四川,,阴湿,岩石边,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM707002850.jpg,,,,,,,,,, +,Potentilla squalida,,,,,,,,,,,,,,,,,,, +,Potentilla stipitata,,,,,,,,,,,,,,,,,,, +,Potentilla sundaica,刘正宇,19805,19951030,四川省,1700,路旁荒地,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0008312.jpg,,,,,,,,,, +蛇含委陵菜,Potentilla sundaica,武夷科考队,790456,19790916,福建,750,山坡路旁,草本,无花无果,https://image.cvh.ac.cn/files/l/FJIDC/FJIDC005659.jpg,,,,,,,,,, +,Potentilla sundaica,林镕,2827,,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/FJSI/012918.jpg,,,,,,,,,, +朝天委陵菜,Potentilla supina,刘正宇,990236-01,19990425,重庆,460,河边滩涂草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0065945.jpg,,,,,,,,,, +朝天委陵菜,Potentilla supina,"王雷, 朱雅娟, 黄振英",Beijing-huang-ss1-0011,20191126,北京,,草地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1322374.jpg,,,,,,,,,, +,Potentilla supina,K.K.TSOONG,0,19210510,江西,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0014842.jpg,,,,,,,,,, +闽粤落叶石腩,Pourthiaea arguta,Shiu Ying Hu,6898,19690405,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01498587.jpg,,,,,,,,,, +中华落叶石腩,Pourthiaea arguta,"刘彬彬,张宏伟,楼炉焕",3061,20170812,浙江省,851,"in the valley,secondary forests",,有花无果,https://image.cvh.ac.cn/files/l/PE/02108463.jpg,,,,,,,,,, +中华落叶石楠,Pourthiaea arguta,朱鑫鑫;林庶;梁俊生,ZXX19486,20190502,河南,368,亚热带针阔混交林,溪边,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1481661.jpg,,,,,,,,,, +",美叶雾水葛",Pouzolzia calophylla,青藏队,73-647,19730708,西藏,1900,山坡灌丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0166242.jpg,,,,,,,,,, +美叶雾水葛,Pouzolzia calophylla,"蔡杰, 郭云刚, 张凤琼, 李梅娟, 李昌洪",14CS9712,20141106,云南,,路边灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1399453.jpg,,,,,,,,,, +美叶雾水葛,Pouzolzia calophylla,Gaoligong Shan Biodiversity Survey,27064,20050811,云南省,1680,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01847843.jpg,,,,,,,,,, +,Pouzolzia frondosa,,305,19730703,西藏自治区,1700,路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00514251.jpg,,,,,,,,,, +,Pouzolzia frondosa,布拖队,5614,19590820,四川省,1300,阴处,路旁,灌木丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM702301218.jpg,,,,,,,,,, +,Pouzolzia rugulosa,,,,,,,,,,,,,,,,,,, +红雾水葛,Pouzolzia sanguinea,PE西藏队,PE5747,20170903,西藏自治区,1683~2900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293761.jpg,,,,,,,,,, +红雾水葛,Pouzolzia sanguinea,C.W.Wang,79364,19361000,云南省 ,1100,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0376948.jpg,,,,,,,,,, +红雾水葛,Pouzolzia sanguinea,何德明,WSLJS871,20151108,云南,,喀斯特灌木林缘阴湿处,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395363.jpg,,,,,,,,,, +,Pouzolzia sanguinea var. elegans,赵佐成,1158,19930927,四川省,1250,阳处路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01847163.jpg,,,,,,,,,, +雅致雾水葛,Pouzolzia sanguinea var. elegans,陈俊通,刘国玺,Deng-9311,20200603,云南,1535.14,,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1513413.jpg,,,,,,,,,, +,Pouzolzia sanguinea var. elegans,何汇珍,46,19790824,福建省,,住宅附近菜园边,灌木,有花无果,https://image.cvh.ac.cn/files/l/FJSI/FJSI028118.jpg,,,,,,,,,, +雾水葛,Pouzolzia zeylanica,Levine,727,19170605,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01968952.jpg,,,,,,,,,, +雾水葛,Pouzolzia zeylanica,北京队,896941,19890909,广西壮族自治区,950,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985513.jpg,,,,,,,,,, +雾水葛,Pouzolzia zeylanica,"廖国藩,郭志芬等",29,19780919,湖南省,100,农地阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846532.jpg,,,,,,,,,, +扁核木,Prinsepia utilis,吴华丽,5032,20030410,贵州省,1300,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01650664.jpg,,,,,,,,,, +扁核木,Prinsepia utilis,李宏庆等,SDP02890,20110616,上海市,,植物园,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0061589.jpg,,,,,,,,,, +,Prinsepia utilis,胡君、王东超、李丽、刘晓芬、李永龙、唐璐、思亮、刘方方,SC-a-055-B023,20180727,贵州,,高山栎群落中,灌木(幼苗),有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610244.jpg,,,,,,,,,, +,Procris crenata,中植联广西队,4640,20081024,广西壮族自治区,866~945,石灰岩山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014192.jpg,,,,,,,,,, +藤麻,Procris crenata,曾宪锋,ZXF52747,20191005,福建,810,山谷石上,肉质藤本,无花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0047884.jpg,,,,,,,,,, +藤麻,Procris crenata,凌云普查队,4.51E+14,20130717,广西,787,阔叶林,林下、石灰土,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0117032.jpg,,,,,,,,,, +,Prunus arborea var. montana,R.C.Ching,7568,19280920,广西壮族自治区,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/126073630.jpg,,,,,,,,,, +,Prunus arborea var. montana,tsang.w.t,214,19270911,广东省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/126073623.jpg,,,,,,,,,, +,Prunus arborea var. montana,tsang and fung,582,19290726,海南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/126073624.jpg,,,,,,,,,, +齿萼委陵菜,Prunus armeniaca,,828,19750729,西藏,3830,师范学校院内,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810395.jpg,,,,,,,,,, +杏,Prunus armeniaca,力阳升,30442,19850625,湖北,900,栽培,,无花有果,https://image.cvh.ac.cn/files/l/PEM/PEM0009828.jpg,,,,,,,,,, +野杏树,Prunus armeniaca,何天相,H.20A,19420314,贵州省,680,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0337513.jpg,,,,,,,,,, +,Prunus armeniaca var. holosericea,青藏队植被组,9009,19760710,西藏,3150,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810397.jpg,,,,,,,,,, +,Prunus armeniaca var. holosericea,青藏队植被组,9009,19760710,西藏自治区,3150,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810397.jpg,,,,,,,,,, +,Prunus avium,文丽珠,61020,19610526,河北省,,丘陵地 山坡 缓,,无花有果,https://image.cvh.ac.cn/files/l/PE/01812021.jpg,,,,,,,,,, +洋樱桃,Prunus avium,Oliven,629,,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00374243.jpg,,,,,,,,,, +,Prunus avium,文丽珠,61018,19610526,河北,,凹地 山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01812019.jpg,,,,,,,,,, +高山小白樱,Prunus buergeriana,Taku Miyazaki,805158,20080518,,210~230,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02039549.jpg,,,,,,,,,, +犬樱,Prunus buergeriana,贺贤育,2363,19340519,安徽省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00356731.jpg,,,,,,,,,, +犬樱,Prunus buergeriana,叶培忠,171,,湖南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0337545.jpg,,,,,,,,,, +樱桃李,Prunus cerasifera,金香云,150521190828012LY,20190828,内蒙古,160,,灌木,无花有果,https://image.cvh.ac.cn/files/l/IATM/IATM0003307.jpg,,,,,,,,,, +樱桃李,Prunus cerasifera,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13808,20160904,新疆,1020,路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1451404.jpg,,,,,,,,,, +红叶李,Prunus cerasifera,段澄云,,19950714,天津市,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00015289.jpg,,,,,,,,,, +云南欧李,Prunus cerasoides,中国科学院植物研究所昆明工作站,55586,,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00356814.jpg,,,,,,,,,, +,Prunus cerasoides,津自博植物部,72,20040414,天津市,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00060341.jpg,,,,,,,,,, +云南欧李,Prunus cerasoides,四川经济植物考察队,120,1960-4 1,四川省,1200,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0045463.jpg,,,,,,,,,, +,Prunus ceylanica,C.E.Ridsdale,185,19760619,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0337572.jpg,,,,,,,,,, +微毛樱桃,Prunus clarofolia,张代贵,xm345,20100425,湖南张家界,,林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU24752.jpg,,,,,,,,,, +,Prunus clarofolia,Chen Ze-Ying,112477,19800604,四川省,3730,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01802945.jpg,,,,,,,,,, +微毛樱,Prunus clarofolia,,2387112,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00196769.jpg,,,,,,,,,, +合腺樱,Prunus conadenia,刑吉庆,4420,19590601,陕西省,1940,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00356874.jpg,,,,,,,,,, +合腺樱,Prunus conadenia,,1864,,,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0074620.jpg,,,,,,,,,, +合腺樱,Prunus conadenia,付坤俊,9532,1957/7/11,陕西,1700,,小树,无花有果,https://image.cvh.ac.cn/files/l/WUK/0171951.jpg,,,,,,,,,, +,Prunus cornuta,T.T.Yu,s.n.,19480000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01657340.jpg,,,,,,,,,, +,Prunus cornuta,青藏队植被组,2404,19740807,西藏,2800,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810242.jpg,,,,,,,,,, +,Prunus cornuta,青藏队植被组,2404,19740807,西藏自治区,2800,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810399.jpg,,,,,,,,,, +,Prunus crataegifolia,H. R. E. Handel-Mazzetti,8940,1916/6/17,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00032040.jpg,,,,,,,,,, +山桃,Prunus davidiana,,15207,1963/8/5,北京,1200,,,,https://image.cvh.ac.cn/files/l/BNU/002253.jpg,,,,,,,,,, +哲日勒格-陶古日,Prunus davidiana,谭沛祥,62087,19590710,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00063115.jpg,,,,,,,,,, +,Prunus davidiana,"刘长江,邢德玉",120,19560718,河北省,1200,南山坡 阳处 疏林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092746.jpg,,,,,,,,,, +,Prunus discadenia,"Maire, Edouard-Ernest",s.n.,12-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00317768.jpg,,,,,,,,,, +,Prunus discadenia,青海林业局,5,19540000,青海,,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00015368.jpg,,,,,,,,,, +,Prunus discadenia,保护区07第二小组,QBHQ07-02-022,20081016,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00057365.jpg,,,,,,,,,, +,Prunus gongshanensis,独龙江考察队,5876,19910415,云南省,2100,东岸混交林,,有花有果,https://image.cvh.ac.cn/files/l/KUN/0650113.jpg,,,,,,,,,, +,Prunus gongshanensis,F.Kingdon-Ward,10366,19330525,西藏自治区,2000~3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01656223.jpg,,,,,,,,,, +,Prunus gongshanensis,南水北调,8992,19600617,云南省 ,3200,落叶阔叶林内,,无花有果,https://image.cvh.ac.cn/files/l/KUN/0117666.jpg,,,,,,,,,, +,Prunus gyirongensis,,,,,,,,,,,,,,,,,,, +,Prunus himalayana,,,,,,,,,,,,,,,,,,, +臭樱,Prunus hypoleuca,张代贵,2.01E+11,20120712,湖北神农架林区,,,小乔木或灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU21512.jpg,,,,,,,,,, +,Prunus hypoleuca,"Wilson, Ernest Henry",2850,7-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00419986.jpg,,,,,,,,,, +,Prunus hypoxantha,王雪兵等,2014ZWWL-0016,20140428,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918969.jpg,,,,,,,,,, +,Prunus hypoxantha,"Wilson, Ernest Henry",63,7-Apr,,,,,,https://image.cvh.ac.cn/files/l/E/E00419992.jpg,,,,,,,,,, +,Prunus laurocerasus,刘青林,37,19860729,京都市,,,,无花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH003199.jpg,,,,,,,,,, +,Prunus laurocerasus,邬文祥,10374,19990923,江苏省,,苗圃栽培,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00582839.jpg,,,,,,,,,, +,Prunus laurocerasus,,s.n.,19260411,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01657535.jpg,,,,,,,,,, +,Prunus mira,李馨,75253,19570711,四川省,2230,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00357307.jpg,,,,,,,,,, +,Prunus mira,"张泽云,周洪富",22887,1957/ /,四川,2650,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0242682.jpg,,,,,,,,,, +,Prunus mira,傅国勋,379,19600708,西藏自治区,3840,山坡栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078831.jpg,,,,,,,,,, +梅,Prunus mume,S.Y.Hu,20022,19920131,香港,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/92673.jpg,,,,,,,,,, +,Prunus mume,岛津制作所标本部,786,19060209,京都,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0015597.jpg,,,,,,,,,, +,Prunus mume,官有才,NJWLS1663,20140529,云南,1337,无,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1454688.jpg,,,,,,,,,, +,Prunus napaulensis,植物地理调查队,205,19780702,重庆市,1900,林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093666.jpg,,,,,,,,,, +尼泊尔稠李,Prunus napaulensis,覃灏富,701106,,广西壮族自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0337717.jpg,,,,,,,,,, +,Prunus napaulensis,曾昭顺,201,,黑龙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00357354.jpg,,,,,,,,,, +,Prunus obtusata,D.E.Boufford et al.,37790,20070520,甘肃,2400~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814886.jpg,,,,,,,,,, +,Prunus obtusata,D.E.Boufford et al.,37790,20070520,甘肃省,2400~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814886.jpg,,,,,,,,,, +细齿稠李(无毛稠李),Prunus obtusata,刘正宇,2031668-01,20030420,贵州,1650,土坎上,乔木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0067639.jpg,,,,,,,,,, +甜桃,Prunus persica,F.A.Mc Clure,1403,19250306,广东,,,Tree,,https://image.cvh.ac.cn/files/l/PEY/PEY0015673.jpg,,,,,,,,,, +,Prunus persica,北疆队,34,19590414,新疆维吾尔自治区,,平地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01608305.jpg,,,,,,,,,, +,Prunus persica,,62,20110413,,155,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902058.jpg,,,,,,,,,, +黑星樱,Prunus phaeosticta,780植被组,352,19781113,云南省,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01479879.jpg,,,,,,,,,, +腺叶野樱,Prunus phaeosticta,黄志,32193,1932/4/24,广东,,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0109516.jpg,,,,,,,,,, +腺叶野樱,Prunus phaeosticta,左景烈,20111,19290425,香港,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0338358.jpg,,,,,,,,,, +,Prunus pseudocerasus,,7,19521016,江苏省,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/01461907.jpg,,,,,,,,,, +樱桃,Prunus pseudocerasus,,,"星期四, 五月 21, 1959",北京,,,,,https://image.cvh.ac.cn/files/l/BNU/003396.jpg,,,,,,,,,, +中国樱桃,Prunus pseudocerasus,李培元,1164,1959/3/29,陕西省,500,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0349819.jpg,,,,,,,,,, +毛花红毛樱,Prunus rufa,C.W.Wang,63768,19350600,云南省 ,3000,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00060387.jpg,,,,,,,,,, +,Prunus rufa,青藏队植被组,5248,19750715,西藏自治区,2800,吉隆河右岸沟边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810274.jpg,,,,,,,,,, +红毛樱,Prunus rufa,任宪威,790039,19790315,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00027974.jpg,,,,,,,,,, +李,Prunus salicina,雷开东,ZB140602640,20140602,湖南湘西州,,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU25640.jpg,,,,,,,,,, +李,Prunus salicina,王孝等,100418,19400408,云南省 ,975,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0338510.jpg,,,,,,,,,, +李,Prunus salicina,关克俭,174,19570416,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00588514.jpg,,,,,,,,,, +,Prunus serrula,俞德俊,112,19550703,甘肃,,林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01811575.jpg,,,,,,,,,, +,Prunus serrula,北京队,896269,19890906,广西壮族自治区,1000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01983084.jpg,,,,,,,,,, +,Prunus serrula,C.W.Wang,65591,19350800,云南省 ,3400,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00358089.jpg,,,,,,,,,, +梅桃,Prunus tomentosa,,5713,19190802,内蒙古,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00013482.jpg,,,,,,,,,, +山樱桃,Prunus tomentosa,雍光吕,,十年,北京,,,,,https://image.cvh.ac.cn/files/l/BNU/003340.jpg,,,,,,,,,, +毛樱桃,Prunus tomentosa,于兴华,444,20100806,辽宁省鞍山市,428,林内,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0246749.jpg,,,,,,,,,, +,Prunus trichantha,,,,,,,,,,,,,,,,,,, +尖叶桂樱,Prunus undulata,H.Kanai et G.Murata,13533,19670510,西德,1600~1400,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/91585.jpg,,,,,,,,,, +,Prunus undulata,生态室高原组,11345,19800727,西藏自治区,1900,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01494561.jpg,,,,,,,,,, +两广樱花,Prunus undulata,C.W.Wang,74478,19350000,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00358547.jpg,,,,,,,,,, +,Prunus yaoiana,,,,,,,,,,,,,,,,,,, +钩毛草,Pseudechinolaena polystachya,郭永杰,李涟漪,聂细转,12CS5244,20121213,云南,1169,公路边常绿阔叶林下,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1403798.jpg,,,,,,,,,, +钩毛草,Pseudechinolaena polystachya,张舒欢、周毅,77,20170626,福建,,,,有花有果,https://image.cvh.ac.cn/files/l/AU/AU073889.jpg,,,,,,,,,, +钩毛草,Pseudechinolaena polystachya,C.W.Wang,79543,19361000,云南省,840,Woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00614849.jpg,,,,,,,,,, +,Pseudodissochaeta assamica,,,,,,,,,,,,,,,,,,, +,Pseudodissochaeta spirei,,,,,,,,,,,,,,,,,,, +泡竹,Pseudostachyum polymorphum,郭惠珠,郭艺松,陈锦祥,3333,20130312,福建,,栽培定植,,无花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0002861.jpg,,,,,,,,,, +泡竹,Pseudostachyum polymorphum,张玉霄,马朋飞,周梦媛,12301,20121012,云南省 ,548,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1238669.jpg,,,,,,,,,, +泡竹,Pseudostachyum polymorphum,Dai Qi-Hui,Mar-75,19750400,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01513066.jpg,,,,,,,,,, +,Psidium guajava,"张寿洲,李良千等",743,20050427,广东省,50,海边杂木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01809663.jpg,,,,,,,,,, +,Psidium guajava,陈伟烈等,Y0127,19781025,云南省,900,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01803749.jpg,,,,,,,,,, +番石榴,Psidium guajava,平乐县普查队,450330180913033LY,20180913,广西,110,灌丛,路旁,黄棕壤,一般野生,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00412393.jpg,,,,,,,,,, +老虎刺,Pterolobium punctatum,川黔队,2185,19561019,,1150,山坡 阴处 灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083731.jpg,,,,,,,,,, +太白细柄茅,Ptilagrostis concinna,陈世龙,张得钧,高庆波等,ChenSL0142,20080727,青海,4170,金露梅,高山柳灌木丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403807.jpg,,,,,,,,,, +太白细柄茅,Ptilagrostis concinna,西北大学生物系,135,196407??,陕西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0214968.jpg,,,,,,,,,, +,Ptilagrostis concinna,未知,340,19850712,新疆,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00604072.jpg,,,,,,,,,, +小花细柄茅,Ptilagrostis dichotoma,岳伟,苏旭,王玉金,LiuJQ-2011-WYJ-146,20110915,西藏,4245,温带草甸坡地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1403814.jpg,,,,,,,,,, +双叉细柄茅,Ptilagrostis dichotoma,"陈伟烈,陈家瑞,郭柯,闫建平",8269,19840721,四川省,3180,丘状草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233192.jpg,,,,,,,,,, +双叉细柄茅,Ptilagrostis dichotoma,岳伟,苏旭,王玉金,LiuJQ-2011-WYJ-327,20111001,青海,3605,温带草原平地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1403812.jpg,,,,,,,,,, +细柄茅,Ptilagrostis mongholica,吴犹如,96-62,19960720,内蒙古自治区,,山沟,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00529884.jpg,,,,,,,,,, +细柄茅,Ptilagrostis mongholica,"亚吉东, 张桥蓉, 胡枭剑, 阿热爱",17CS16475,20170712,新疆,2273,草地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1456532.jpg,,,,,,,,,, +细柄茅,Ptilagrostis mongholica,T.N.Ho et al.,2310,19960824,青海省,3550~3650,Growing in clearings among Juniperus,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615061.jpg,,,,,,,,,, +中亚细柄茅,Ptilagrostis pelliotii,,102,19580618,宁夏回族自治区,1400,石质山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615154.jpg,,,,,,,,,, +中亚细柄茅,Ptilagrostis pelliotii,T.N.Liou,L.2129,19310529,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615153.jpg,,,,,,,,,, +中亚细柄茅,Ptilagrostis pelliotii,青甘队,350,1959/7/19,青海,,,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0169960.jpg,,,,,,,,,, +,Ptilagrostis roshevitsiana,张志和等,5311,19890815,青海省,3900,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/159084.jpg,,,,,,,,,, +,Ptilagrostis yadongensis,,,,,,,,,,,,,,,,,,, +,Puccinellia altaica,青藏队,7559,19750921,西藏自治区,4300,河滩沙地上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615189.jpg,,,,,,,,,, +阿尔泰碱茅,Puccinellia altaica,青藏队吴玉虎,870644,19870713,新疆维吾尔自治区,3200,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/144304.jpg,,,,,,,,,, +朝鲜碱茅,Puccinellia chinampoensis,山丹军马场,21,19760700,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014575.jpg,,,,,,,,,, +朝鲜碱茅,Puccinellia chinampoensis,,98,19830614,山西省,340,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01536283.jpg,,,,,,,,,, +朝鲜碱茅,Puccinellia chinampoensis,费勇,孙航,李德铢,721,19900903,西藏自治区,4300,on grassland,,有花无果,https://image.cvh.ac.cn/files/l/KUN/380849.jpg,,,,,,,,,, +展穗碱茅,Puccinellia diffusa,吴玉虎,449,19780723,青海省,4300,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/120278.jpg,,,,,,,,,, +,Puccinellia dolicholepis,A.Dogadova et al.,4104,19550621,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01677219.jpg,,,,,,,,,, +毛稃碱茅,Puccinellia dolicholepis,陈世龙,张得钧,高庆波,张发起,ChenSL0075,20080724,青海,4180,高寒草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403826.jpg,,,,,,,,,, +毛稃碱茅,Puccinellia dolicholepis,吴玉虎,678,19790725,青海省,4300,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0216094.jpg,,,,,,,,,, +喜马拉雅碱茅,Puccinellia himalaica,,84-A-344,8479,,3415,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20014596.jpg,,,,,,,,,, +,Puccinellia himalaica,"郭柯,郑度",12227,19880717,新疆维吾尔自治区,4750,洪积扇冲饰沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437380.jpg,,,,,,,,,, +喜马拉雅碱茅,Puccinellia himalaica,陈家辉,庄会富,刘德团,边巴扎西,YangYP-Q-0108,20080830,西藏,4267,草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403830.jpg,,,,,,,,,, +矮碱茅,Puccinellia humilis,青藏队吴玉虎,870243,19870626,新疆维吾尔自治区,3100,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/144148.jpg,,,,,,,,,, +,Puccinellia humilis,青藏队植被组,12218,19760808,西藏自治区,4900,山坡沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014074.jpg,,,,,,,,,, +,Puccinellia kashmiriana,郭柯,K-23,19900616,青海省,4700,湖边老旧的湖底,平缓,,有花无果,https://image.cvh.ac.cn/files/l/PE/01469129.jpg,,,,,,,,,, +,Puccinellia kashmiriana,"郑度,郭柯",12362,19880809,新疆维吾尔自治区,4600,高原面,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615352.jpg,,,,,,,,,, +,Puccinellia kashmiriana,PE西藏考察队,8037,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333043.jpg,,,,,,,,,, +昆仑碱茅,Puccinellia kuenlunica,C.C.C.Couines,38738,19260526,江苏省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00530834.jpg,,,,,,,,,, +昆仑碱茅,Puccinellia kuenlunica,,,19260526,安徽省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00530835.jpg,,,,,,,,,, +侏碱茅,Puccinellia minuta,Coll. J.M.Grant,19732,19190728,,0,,草本,有花有果,https://image.cvh.ac.cn/files/l/N/019105439.jpg,,,,,,,,,, +,Puccinellia minuta,"郭柯,郑度",12227,19880717,新疆维吾尔自治区,4750,洪积扇冲饰沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437290.jpg,,,,,,,,,, +,Puccinellia minuta,青藏队植被组,12237,19760809,西藏自治区,5000~5100,山坡沟谷草甸边湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437291.jpg,,,,,,,,,, +裸花碱茅,Puccinellia nudiflora,青甘队,1672,19590808,青海省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/003834.jpg,,,,,,,,,, +,Puccinellia nudiflora,青藏队植被组,13224,19760710,西藏自治区,4400,Ca质泉华上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437260.jpg,,,,,,,,,, +,Puccinellia nudiflora,张以礼,399,19980800,新疆维吾尔自治区,3000~3900,林缘草甸高山草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437261.jpg,,,,,,,,,, +帕米尔碱茅,Puccinellia pamirica,邱娟,冯建菊,LiuJQ0101,20080808,新疆,4171,草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403837.jpg,,,,,,,,,, +帕米尔碱茅,Puccinellia pamirica,李晖,文雪梅,次旺加布,李发平,Lihui-Q-0039,20080829,西藏,4364,荒漠化草原河滩地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403834.jpg,,,,,,,,,, +,Puccinellia pamirica,郎楷永,10006,19760816,西藏自治区,5000,干河谷草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437235.jpg,,,,,,,,,, +,Puccinellia pauciramea,王金亭,3670,19610802,西藏自治区,4550,沙丘及河谷沙地上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615384.jpg,,,,,,,,,, +少枝碱茅,Puccinellia pauciramea,青藏队吴玉虎,2205,19880813,新疆维吾尔自治区 ,4800,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/148596.jpg,,,,,,,,,, +,Puccinellia pauciramea,青甘调查队,1646,19590708,青海省,3900,冲积扇,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615382.jpg,,,,,,,,,, +,Puccinellia phryganodes,S.Kharkevich,1092,19750716,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01677249.jpg,,,,,,,,,, +,Puccinellia stapfiana,郎楷永,10142,19760907,西藏自治区,4500,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00037294.jpg,,,,,,,,,, +坚碱茅,Puccinellia strictura,青藏队植被组,12118,19760802,西藏自治区,4900,山沟湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00037959.jpg,,,,,,,,,, +,Puccinellia subspicata,青藏队,6484,19750726,西藏自治区,4800,边砂砾地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615407.jpg,,,,,,,,,, +,Puccinellia thomsonii,青甘调查队,340,19590716,青海省,3100,湖边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615434.jpg,,,,,,,,,, +,Puccinellia thomsonii,张经炜,6247,19750725,西藏自治区,4300,盐地平缓坡地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00037296.jpg,,,,,,,,,, +,Puccinellia tianschanica,,,,,,,,,,,,,,,,,,, +,Puccinellia vachanica,张经炜,6245,19750725,西藏自治区,4300,盆地平缓坡地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01437378.jpg,,,,,,,,,, +,Pueraria bella,纳版考察队,43022,19881103,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/020171.jpg,,,,,,,,,, +越南葛藤,Pueraria montana,邓云飞等,15144,20001003,,350,山地,山谷,路旁,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01996919.jpg,,,,,,,,,, +,Pueraria montana var. lobata,万涛等,FSB-761,20130709,,,沿路,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020993.jpg,,,,,,,,,, +粉葛,Pueraria montana var. thomsonii,鞠文彬,陈德奎,AZH00759,20151105,,1583,林中,藤本,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0236717.jpg,,,,,,,,,, +滇南山蚂蝗,Puhuaea megaphylla,"刘恩德,刘振稳,邹娇|,王存花,陈志坚",LED10318,20201210,,1130,山地林缘,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1510638.jpg,,,,,,,,,, +,Puhuaea sequax,,,,,,,,,,,,,,,,,,, +石榴,Punica granatum,浙江植物资源普查队,26597,19590425,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01585248.jpg,,,,,,,,,, +石榴,Punica granatum,胡翠平,89091,19890519,江西 ,30,庭院栽培,乔木,有花无果,https://image.cvh.ac.cn/files/l/SN/SN009137.jpg,,,,,,,,,, +石榴,Punica granatum,H.T.Tsai,50901,19320511,云南省 ,700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0220418.jpg,,,,,,,,,, +,Pycnarrhena pleniflora,,,,,,,,,,,,,,,,,,, +西南臀果木,Pygeum wilsonii,中越考察队,262,19641210,葵州,1975~1240,林内,,有果无花,https://image.cvh.ac.cn/files/l/KUN/682298.jpg,,,,,,,,,, +西南臀果木,Pygeum wilsonii,H.T.Tsai,61627,19340823,云南省,1100,in ravine,,无花无果,https://image.cvh.ac.cn/files/l/PE/00535007.jpg,,,,,,,,,, +西南臀果木,Pygeum wilsonii,方文培,19057,19421022,四川省,1400,in forests,,无花无果,https://image.cvh.ac.cn/files/l/PE/00995623.jpg,,,,,,,,,, +窄叶火棘,Pyracantha angustifolia,,300,19650914,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00199573.jpg,,,,,,,,,, +窄叶火棘,Pyracantha angustifolia,,,19600925,四川,1600,山沟溪边,灌木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM707004905.jpg,,,,,,,,,, +窄叶火棘,Pyracantha angustifolia,"李渤生,倪志诚,程树志",6913,19830827,西藏自治区,2200,常见河谷灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074501.jpg,,,,,,,,,, +细圆齿火棘,Pyracantha crenulata,刘正宇,182350,20080425,重庆市,1360,山地灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01857211.jpg,,,,,,,,,, +细圆齿火棘,Pyracantha crenulata,张代贵,GZ2016071003743,20160710,贵州铜仁,,山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU64522.jpg,,,,,,,,,, +细圆齿火棘,Pyracantha crenulata,侯元同,11363,20110513,山东省,61,路边,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0028786.jpg,,,,,,,,,, +火棘,Pyracantha fortuneana,张代贵,y1006,20100812,湖南湘西,,草地,直立灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU66643.jpg,,,,,,,,,, +火棘,Pyracantha fortuneana,,,,湖北; HUPEH,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00073964.jpg,,,,,,,,,, +火棘,Pyracantha fortuneana,刘淼等,A170038,20061105,安徽省,200,生于灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01808629.jpg,,,,,,,,,, +,Pyrus betulifolia,"董安淼,吴从梅",TanCM1417,20121207,江西省,156,山脚灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1315570.jpg,,,,,,,,,, +杜梨,Pyrus betulifolia,张珍万,656,19570810,陕西省,1200,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00360004.jpg,,,,,,,,,, +杜梨,Pyrus betulifolia,杨文光,DT6793,20190517,四川,1194,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1514359.jpg,,,,,,,,,, +川梨,Pyrus pashia,J.F. Rock,3276,1922/5/5,云南; YUNNAN,8000,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00074122.jpg,,,,,,,,,, +川梨,Pyrus pashia,覃浩富,700664,1956/10/9,广西省,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0424238.jpg,,,,,,,,,, +川梨,Pyrus pashia,沐先运,1251,20120811,西藏,,山坡,乔木,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00077824.jpg,,,,,,,,,, +楸子梨,Pyrus ussuriensis,,1863,"星期日, 十月 02, 1921",Shansi,1000,,,,https://image.cvh.ac.cn/files/l/BNU/003561.jpg,,,,,,,,,, +秋子梨,Pyrus ussuriensis,赤峰采集队(孙英宝等),2-Z63,20080803,内蒙古自治区,1132,沟谷水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036932.jpg,,,,,,,,,, +仙顶梨,Pyrus ussuriensis,陈倬,61-137,,浙江,,,,无花有果,https://image.cvh.ac.cn/files/l/JSPC/JSPC105653.jpg,,,,,,,,,, +木梨,Pyrus xerophila,吴玉虎,36106,20050907,青海,2300,栽培,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019959.jpg,,,,,,,,,, +木梨,Pyrus xerophila,张志英,318,1958/8/23,陕西省 ,1450,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0103047.jpg,,,,,,,,,, +木梨,Pyrus xerophila,山西队,2633,1984/7/25,山西省 ,1700,,灌木直立,无花有果,https://image.cvh.ac.cn/files/l/WUK/0466027.jpg,,,,,,,,,, +,Quercus acrodonta,"杨金祥,梁一民",2637,19640507,陕西省,1000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01459515.jpg,,,,,,,,,, +,Quercus acrodonta,,11408,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00237915.jpg,,,,,,,,,, +,Quercus acrodonta,青藏队,7710,19820628,西藏自治区,1800,怒江边灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01833528.jpg,,,,,,,,,, +麻栎,Quercus acutissima,P.C.Tsoong,174,19370822,山西省,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/503556.jpg,,,,,,,,,, +麻栎,Quercus acutissima,B.Bartholomew,2657,19851004,加利福尼亚加州,1450~1400,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/504136.jpg,,,,,,,,,, +麻栎,Quercus acutissima,吴征镒,185,19810415,Honshu,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/507173.jpg,,,,,,,,,, +,Quercus annulata,"李渤生,倪志诚,程树志",6932,19830828,西藏自治区,1650,低海拔优势树种,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491415.jpg,,,,,,,,,, +,Quercus annulata,,s.n.,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01479416.jpg,,,,,,,,,, +川滇高山栎,Quercus aquifolioides,Tsiang & Hsiung,37712,1953年9月12日,四川,2900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0001203.jpg,,,,,,,,,, +川滇高山栎,Quercus aquifolioides,王作宾,18564,19621028,陕西省,1760,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/56475.jpg,,,,,,,,,, +川滇高山栎,Quercus aquifolioides,王启无,70540,19350600,云南省 ,2300,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00203731.jpg,,,,,,,,,, +,Quercus baloot,"张挺, 刘成, 亚吉东",18CS17670,20180915,西藏,2442,沟谷边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1482779.jpg,,,,,,,,,, +巴东栎,Quercus engleriana,H. T. Tsai,52111,19320531,云南省 ,1800,in thicket,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00267583.jpg,,,,,,,,,, +巴东栎,Quercus engleriana,Wang Tso-Pin,12060,,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0042017.jpg,,,,,,,,,, +巴东栎,Quercus engleriana,川黔队,1720,19561012,贵州省,1600,山坡 疏密林中 阴,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083120.jpg,,,,,,,,,, +猪仔笠,Quercus fleuryi,陈少卿,10922,19561024,海南省,1000,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00066531.jpg,,,,,,,,,, +猪仔笠,Quercus fleuryi,龙胜采集队,50281,,广西,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00031483.jpg,,,,,,,,,, +猪仔笠,Quercus fleuryi,南植地,3368,,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00031476.jpg,,,,,,,,,, +,Quercus gambleana,青藏队,9662,19820826,云南省,2300~2400,山坡 Tsunga 林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01062460.jpg,,,,,,,,,, +毛曼青冈,Quercus gambleana,张代贵、王业清、朱小琴,1699,20170601,湖北宜昌,1070,阔叶林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE07041.jpg,,,,,,,,,, +青冈,Quercus glauca,张代贵,王业清,朱晓琴,"zdg,wyq,zxq0459",20170424,湖北宜昌,493,峡谷阔叶林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE00399.jpg,,,,,,,,,, +丝栗子,Quercus glauca,F.A. McClure,3404,1926-10-,安徽; ANHWEI,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00031554.jpg,,,,,,,,,, +丝栗子,Quercus glauca,Tang S.I.,468,,福建,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00031563.jpg,,,,,,,,,, +滇青冈,Quercus glaucoides,造201三组,,19550701,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0013244.jpg,,,,,,,,,, +,Quercus glaucoides,B.Bartholomew et al.,2995,19851017,,1475,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01807476.jpg,,,,,,,,,, +滇青冈,Quercus glaucoides,西师生物系,12232,19760613,四川省,1800,谷坡,较多,乔木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00353414.jpg,,,,,,,,,, +大叶栎,Quercus griffithii,何晔,2-213,20030615,贵州省,670,山坡密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602076.jpg,,,,,,,,,, +大叶栎,Quercus griffithii,,12902,19760708,四川,2150,松栎林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01832500.jpg,,,,,,,,,, +大叶栎,Quercus griffithii,傅坤俊,10618,1957/9/10,陕西省,600,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0360918.jpg,,,,,,,,,, +帽斗栎,Quercus guyavifolia,谭少林,YLDP014E,20140829,云南,,无,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1457703.jpg,,,,,,,,,, +帽斗栎,Quercus guyavifolia,鞠文彬,李诗琦,代文台,邓璇,CIBJWB001B003,20180804,四川,3120,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1502403.jpg,,,,,,,,,, +帽斗栎,Quercus guyavifolia,刀志灵;蔡磊;杨静;张品;杨佳俊;姚刚;孙卫邦,KIBDZL042B01,20171004,西藏,2994,沿江地段河滩,干暖河谷,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1562233.jpg,,,,,,,,,, +陀螺椆,Quercus helferiana,王启无,79746,19360600,云南省,1100,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00204556.jpg,,,,,,,,,, +陀螺椆,Quercus helferiana,C.W.Wang,79746,19361000,,1100,,,无花有果,https://image.cvh.ac.cn/files/l/NKU/NK 001834.jpg,,,,,,,,,, +陀螺椆,Quercus helferiana,R.C.Ching,7296,19280902,云南省 ,1000,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00204558.jpg,,,,,,,,,, +,Quercus kamroopii,,,,,,,,,,,,,,,,,,, +,Quercus kiukiangensis,青藏队,8918,19820806,云南省,2200,山坡 常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01062491.jpg,,,,,,,,,, +,Quercus lamellosa,,s.n.,,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491494.jpg,,,,,,,,,, +,Quercus lamellosa,青藏队,7261,19820610,云南省,2400,山坡 常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01062505.jpg,,,,,,,,,, +,Quercus lanata,陈少卿,13453,19570804,广西壮族自治区,450~600,山顶、疏林、石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00334304.jpg,,,,,,,,,, +通麦栎,Quercus lanata,"胡君,熊豫宁,伍小刚,王东超",HJ04904,20151027,西藏自治区,2200,山坡西藏柏木林下,幼龄树,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00590129.jpg,,,,,,,,,, +,Quercus lanata,王汉臣,1741,Feb-42,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0066229.jpg,,,,,,,,,, +,Quercus lodicosa,G.Forrest,1424554,19240600,,2333~2667,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01783761.jpg,,,,,,,,,, +,Quercus lodicosa,"李渤生,程树志",5142,19830617,西藏自治区,1850,常绿阔叶林中优势树种,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491172.jpg,,,,,,,,,, +西藏栎,Quercus lodicosa,王啟无,刘瑛,83300,19390000,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00084395.jpg,,,,,,,,,, +墨脱青冈,Quercus motuoensis,"李渤生,程树志,倪志诚",3746,19830524,西藏自治区,1700,常绿阔叶林中高大乔,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491416.jpg,,,,,,,,,, +,Quercus myrsinifolia,陈树培,,1982-10-,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0074581.jpg,,,,,,,,,, +小叶青冈,Quercus myrsinifolia,江明喜等,2020090203,20200902,湖北,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0208522.jpg,,,,,,,,,, +,Quercus myrsinifolia,邝生舜,4,1959.6,河南,,,,有花有果,https://image.cvh.ac.cn/files/l/HENU/0010487.jpg,,,,,,,,,, +铁桃树,Quercus oxyodon,中美联合鄂西植物考察队,576,19800902,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00204782.jpg,,,,,,,,,, +,Quercus oxyodon,Jiang Xing-liao,35394,19530828,四川省,0,,Versant,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0770738.jpg,,,,,,,,,, +曼青冈,Quercus oxyodon,张代贵,zdg7746,20120926,湖北神农架林区,,林下灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU64375.jpg,,,,,,,,,, +,Quercus pannosa,,20514,,大理,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0021075.jpg,,,,,,,,,, +黄背栎,Quercus pannosa,,580,19790629,四川,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM701900207.jpg,,,,,,,,,, +黄背栎,Quercus pannosa,张经炜,1259,19730823,西藏自治区,3420,南坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00045048.jpg,,,,,,,,,, +毛脉高山栎,Quercus rehderiana,,44641,19380820,,,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00234807.jpg,,,,,,,,,, +,Quercus rehderiana,北京所横断山队,1072,19810624,云南省,1550~2800,干旱山坡时见与云南松等为优势,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043771.jpg,,,,,,,,,, +毛脉高山栎,Quercus rehderiana,杨光辉,65414,19580917,重庆,2000,林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/SHM/SHM0006638.jpg,,,,,,,,,, +大果青岗,Quercus rex,Henry,12665,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00055807.jpg,,,,,,,,,, +大果青冈,Quercus rex,,,19840000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/SHM/SHM0006640.jpg,,,,,,,,,, +,Quercus semecarpifolia,傅国勋,683,19601013,西藏自治区,2000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079088.jpg,,,,,,,,,, +,Quercus semecarpifolia,GEORGE FORREST.,5572,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00335569.jpg,,,,,,,,,, +高山栎,Quercus semecarpifolia,西笠中草药普查队,134,,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0066780.jpg,,,,,,,,,, +,Quercus semiserrata,J.F.Maxwell,90-1340,1990-12-,,1400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0066787.jpg,,,,,,,,,, +,Quercus senescens,,,,昆明,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0021160.jpg,,,,,,,,,, +栎属,Quercus senescens,西藏生物所植物资源队,3887,19830831,西藏,3300,高山林下,,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0000827.jpg,,,,,,,,,, +灰背栎,Quercus senescens,"刘杰, 罗亚皇, 刘基男, 谭少林",YMT3200-2-222,20130614,云南,3268,云南松-腋花杜鹃林,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1457182.jpg,,,,,,,,,, +刺叶高山栎,Quercus spinosa,赵儒林,5479,19570825,安徽省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/062034478.jpg,,,,,,,,,, +刺叶高山栎,Quercus spinosa,c.y.chaio,301,19260411,江苏省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/062034210.jpg,,,,,,,,,, +刺叶高山栎,Quercus spinosa,胡成华,1904,,贵州省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/062034459.jpg,,,,,,,,,, +,Quercus thomsoniana,陈伟烈,14493,19800830,西藏自治区,2200,山坡 阶地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491436.jpg,,,,,,,,,, +栓皮栎,Quercus variabilis,田景全,164,19590812,北京市,,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01811431.jpg,,,,,,,,,, +栓皮栎,Quercus variabilis,李新标等,J8212036,19840620,浙江省,240,沟边林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01359993.jpg,,,,,,,,,, +栓皮栎,Quercus variabilis,76级实习队,780056,1978/7/7,湖北 ,400公,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00055726.jpg,,,,,,,,,, +,Ranunculus adoxifolius,H.Kanai et al.,873274,19720617,,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01695807.jpg,,,,,,,,,, +普兰毛茛,Ranunculus banguoensis var. grandiflorus,青藏队,76-8301,19760725,西藏自治区,5400,侧古马拉,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00429074.jpg,,,,,,,,,, +鸟足毛茛,Ranunculus brotherusii,,8200814,19820713,山西,2840,,,,https://image.cvh.ac.cn/files/l/BJM/158712.jpg,,,,,,,,,, +乌足毛茛,Ranunculus brotherusii,,19860615327,19860615,四川,,草地,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0003437.jpg,,,,,,,,,, +鸟足毛茛,Ranunculus brotherusii,T.P. Wang,4230,1936/6/2,陕西 ,840,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0418872.jpg,,,,,,,,,, +,Ranunculus cantoniensis,E.D.MERRILL,,19210622,巫溪,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0002824.jpg,,,,,,,,,, +禺毛茛,Ranunculus cantoniensis,刘长江等,587,19560609,北京市,,水旁 草地 灌木下 阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01387360.jpg,,,,,,,,,, +禺毛茛,Ranunculus cantoniensis,张代贵,JH009,20090425,湖南永州,,湿地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU22200.jpg,,,,,,,,,, +茴茴蒜,Ranunculus chinensis,秦仁昌,10949,19360000,江西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00458671.jpg,,,,,,,,,, +茴茴蒜,Ranunculus chinensis,张代贵,Zdg1841,20110716,湖北,2288,路边水沟,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232729.jpg,,,,,,,,,, +茴茴蒜,Ranunculus chinensis,杜桂娟、马凤江、杨姝等,FS-P001-21,20150725,辽宁省抚顺市,215.5,平原,半阳坡,坡下部,,无花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF008281.jpg,,,,,,,,,, +十蕊毛茛,Ranunculus decandrus,"杨永,刘冰,林秦文等",644,20120805,西藏自治区,4400,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050229.jpg,,,,,,,,,, +,Ranunculus dielsianus var. suprasericeus,白根录,05-B69,20050618,陕西省,3500,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268243.jpg,,,,,,,,,, +丽江毛茛,Ranunculus dielsianus var. suprasericeus,拉穷,西落,ZhongY454,20090610,西藏,3850,河谷灌丛草原,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232732.jpg,,,,,,,,,, +,Ranunculus dielsianus var. suprasericeus,青藏队,3386,19810807,四川省,3200~3700,山坡高山栎林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429550.jpg,,,,,,,,,, +,Ranunculus diffusus,,,,昆明,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0002729.jpg,,,,,,,,,, +铺散毛茛,Ranunculus diffusus,,1115,1917/5/5,浙江; CHEKIANG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00053883.jpg,,,,,,,,,, +铺散毛茛,Ranunculus diffusus,H.Jame,17035,19161026,安徽省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00186363.jpg,,,,,,,,,, +,Ranunculus dingjieensis,,,,,,,,,,,,,,,,,,, +,Ranunculus distans,,,,,,,,,,,,,,,,,,, +,Ranunculus dongrergensis var. altifidus,青藏队,3887,19740801,西藏自治区,3600,山坡水沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00429598.jpg,,,,,,,,,, +多雄拉毛茛,Ranunculus duoxionglashanicus,"杨永,刘冰,林秦文等",281,20120730,西藏自治区,4200,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050240.jpg,,,,,,,,,, +单花红丝线,Ranunculus ficariifolius,赵万义、叶矾、张信坚,LXP-13-25280,20171216,江西,1350,山坡、腐殖土、灌丛,陆生、草本、外倾,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00202646.jpg,,,,,,,,,, +西南毛茛,Ranunculus ficariifolius,李振宇,11379,20040427,广西壮族自治区,,栽培,引自融水县,,有花无果,https://image.cvh.ac.cn/files/l/PE/01160797.jpg,,,,,,,,,, +,Ranunculus ficariifolius,方建新,SCSB-A-000485,20140521,安徽省,154,荒芜农田,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1232733.jpg,,,,,,,,,, +叉裂毛茛,Ranunculus furcatifidus,杨亲二,94103,19941006,云南省,3400,潮湿草地(高山草甸),,有花无果,https://image.cvh.ac.cn/files/l/PE/00429670.jpg,,,,,,,,,, +叉裂毛茛,Ranunculus furcatifidus,青藏队,76-8417,19760712,西藏,3900,孔雀河口滩水边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0688280.jpg,,,,,,,,,, +,Ranunculus furcatifidus,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-136-B32,20190822,四川,3886,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261446.jpg,,,,,,,,,, +,Ranunculus hirtellus var. humilis,杨金祥,2215,19630814,西藏自治区,4750,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429745.jpg,,,,,,,,,, +,Ranunculus hirtellus var. humilis,"关克俭,王文采等",1019,19630728,四川省,4000,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429743.jpg,,,,,,,,,, +,Ranunculus hirtellus var. humilis,藏药队,1101,19720728,青海省,4500,高山带,,有花无果,https://image.cvh.ac.cn/files/l/PE/00429742.jpg,,,,,,,,,, +低毛茛,Ranunculus humillimus,杨金祥,1892,19630629,西藏自治区,5050,河滩,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00028178.jpg,,,,,,,,,, +低毛茛,Ranunculus humillimus,杨金祥,1892,19630629,西藏,5050,河滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0687701.jpg,,,,,,,,,, +毛茛,Ranunculus japonicus,张志英,4826,1959/6/17,甘肃 ,2100,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0148620.jpg,,,,,,,,,, +毛茛,Ranunculus japonicus,"董安淼, 吴丛梅",TanCM2512,20150504,江西,80,山脚溪边草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1455540.jpg,,,,,,,,,, +毛茛,Ranunculus japonicus,PE西藏队,PE6356,20170911,西藏自治区,3120,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02293958.jpg,,,,,,,,,, +隆子毛茛,Ranunculus longziensis,PE-西藏考察队,7063,20180609,西藏,4569,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/02232872.jpg,,,,,,,,,, +黑果毛茛,Ranunculus melanogynus,傅国勋,299,19600714,西藏自治区,5500,山顶缓坡碎石间,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00028194.jpg,,,,,,,,,, +棉毛茛,Ranunculus membranaceus,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",323,19930726,青海省,3450~3550,General area alpine meadow with close species rich turf and outcrops of scist and quartzite.On slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/00458977.jpg,,,,,,,,,, +棉毛茛,Ranunculus membranaceus,T.P. Wang,4776,1936/7/1,甘肃 ,3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0049806.jpg,,,,,,,,,, +棉毛茛,Ranunculus membranaceus,,,,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0089471.jpg,,,,,,,,,, +,Ranunculus membranaceus var. pubescens,何叶祺,4413,19590707,甘肃省,2700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459011.jpg,,,,,,,,,, +,Ranunculus membranaceus var. pubescens,杨亲二,9515,19950903,青海省,3150,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459018.jpg,,,,,,,,,, +,Ranunculus membranaceus var. pubescens,,10205,19750710,四川省,3430,山脊,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459036.jpg,,,,,,,,,, +刺果毛茛,Ranunculus muricatus,郭振宇,36,20060413,江苏省,20,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458758.jpg,,,,,,,,,, +刺果毛茛,Ranunculus muricatus,周艳萍,2018090572,20180423,贵州省,512,道旁田野杂草,,无花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0022982.jpg,,,,,,,,,, +刺果毛茛,Ranunculus muricatus,谭策铭,94031,19940413,江西省,70,,草本,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ008732.jpg,,,,,,,,,, +浮毛茛,Ranunculus natans,张粤、苏道岩、付伟、魏志文,XM104,20140828,内蒙古自治区通辽市,215.2,草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0237324.jpg,,,,,,,,,, +浮毛茛,Ranunculus natans,曹伟,CaoW6125,20150728,黑龙江省,276,湿草地,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0241757.jpg,,,,,,,,,, +浮毛茛,Ranunculus natans,乌兰浩特采集队,9062316,20090623,内蒙古自治区,1051,小溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980573.jpg,,,,,,,,,, +云生毛茛,Ranunculus nephelogenes,陈家辉,庄会富,刘德团,YangYP-Q-0231,20080909,西藏,4306,河滩草地,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232766.jpg,,,,,,,,,, +,Ranunculus nephelogenes,陈世龙,张得钧,高庆波等,ChenSL0121,20080726,青海,4680,草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1232763.jpg,,,,,,,,,, +,Ranunculus nephelogenes,"汤宗孝,田效文,孙庆国",773,19820819,四川省,3950,高山、草甸、草场、山间平坝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01980716.jpg,,,,,,,,,, +,Ranunculus nephelogenes var. longicaulis,钟补求,8592,19580727,青海省,2400,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459309.jpg,,,,,,,,,, +,Ranunculus nephelogenes var. longicaulis,"李渤生,郑度,张百平",11089,19870817,西藏自治区,4300,沼泽草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459319.jpg,,,,,,,,,, +长茎毛茛,Ranunculus nephelogenes var. longicaulis,邱娟,冯建菊,LiuJQ0094,20080807,新疆,3844,草滩,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232770.jpg,,,,,,,,,, +浪子卡毛茛,Ranunculus nyalamensis,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20912,20200701,西藏,3989,灌丛中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1559737.jpg,,,,,,,,,, +浪卡子毛茛,Ranunculus nyalamensis,姚淦,等,3294,19900804,西藏自治区,3600,山坡草地,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00003101.jpg,,,,,,,,,, +浪卡子毛茛,Ranunculus nyalamensis var. angustipetalus,姚淦,等,3294,19900804,西藏自治区,3600,山坡草地,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00003101.jpg,,,,,,,,,, +浪子卡毛茛,Ranunculus nyalamensis var. angustipetalus,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20912,20200701,西藏,3989,灌丛中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1559737.jpg,,,,,,,,,, +,Ranunculus oreionannos,F.Kingdon Ward,6007,19260724,西藏自治区,5000,minute plant forming closely woven mats on earthy,,有花无果,https://image.cvh.ac.cn/files/l/PE/00028201.jpg,,,,,,,,,, +爬地毛茛,Ranunculus pegaeus,D.E.Boufford et al.,42598,20100804,四川省,3665~4460,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873889.jpg,,,,,,,,,, +爬地毛茛,Ranunculus pegaeus,"李渤生,程树志,倪志诚",5662,19830720,西藏自治区,4200,高山 草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01108603.jpg,,,,,,,,,, +爬地毛茛,Ranunculus pegaeus,藏药队,756,19710819,青海省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/24777.jpg,,,,,,,,,, +,Ranunculus popovii var. stracheyanus,K.M.Feng,5310,19400711,云南省,3500~3700,草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459445.jpg,,,,,,,,,, +,Ranunculus popovii var. stracheyanus,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459437.jpg,,,,,,,,,, +,Ranunculus popovii var. stracheyanus,陈绍煜,780961,19780726,新疆维吾尔自治区,2750,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459441.jpg,,,,,,,,,, +川滇毛茛,Ranunculus potaninii,四川植被队,28232,1980-7 7,四川省,4120,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0025518.jpg,,,,,,,,,, +川滇毛茛,Ranunculus potaninii,方震东、李新华,722,19880625,云南省,3800,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003971.jpg,,,,,,,,,, +川滇毛莨,Ranunculus potaninii,钟补求,5203,19520811,西藏自治区,4825,高山草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/00459449.jpg,,,,,,,,,, +矮毛茛,Ranunculus pseudopygmaeus,郭柯,K-66,19900624,青海省,5000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468969.jpg,,,,,,,,,, +矮毛茛,Ranunculus pseudopygmaeus,吴征镒等,750010,0,西藏,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/377917.jpg,,,,,,,,,, +矮毛茛,Ranunculus pseudopygmaeus,Gaoligong Shan Biodiversity Survey,26434,20050805,云南省,3640,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01659297.jpg,,,,,,,,,, +,Ranunculus sikkimensis,,,,,,,,,,,,,,,,,,, +,Ranunculus silerifolius,覃海宁等,805,19980417,广西壮族自治区,950,山地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01986275.jpg,,,,,,,,,, +,Ranunculus silerifolius,易思荣,901089,19990513,重庆,,溪边,伏地草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00611871.jpg,,,,,,,,,, +,Ranunculus silerifolius,Y.Tateishi et al.,17873,19840818,台湾省,2250~2300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522753.jpg,,,,,,,,,, +高原毛茛,Ranunculus tanguticus,陈志军,150924180510022LY,20180510,内蒙古,2316,针阔叶混交林,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IATM/IATM0000627.jpg,,,,,,,,,, +高原毛茛,Ranunculus tanguticus,傅坤俊,17398,19770613,陕西,2300,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814226.jpg,,,,,,,,,, +高原毛茛,Ranunculus tanguticus,K.Y.Lang Y.Tateishi T.Nemoto et al,1418,19860526,四川省,3550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02050477.jpg,,,,,,,,,, +棱喙毛茛,Ranunculus trigonus,W.L.McAtee,3398,1928-05-,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0089690.jpg,,,,,,,,,, +棱喙毛茛,Ranunculus trigonus,F.H.Chen,172,1931,东三省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0089689.jpg,,,,,,,,,, +棱喙毛茛,Ranunculus trigonus,"杨亲二,袁琼",Yangqe2028,20080728,云南省,3100,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02032596.jpg,,,,,,,,,, +,Ranunculus yaoanus,,,,,,,,,,,,,,,,,,, +,Reinwardtia indica,肖波,LuJL125,20081108,云南,1590,常绿阔叶混交林,灌木,,https://image.cvh.ac.cn/files/l/KUN/1246267.jpg,,,,,,,,,, +石海椒,Reinwardtia indica,S.W.Teng,1587,19351116,贵州省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0225241.jpg,,,,,,,,,, +石海椒,Reinwardtia indica,叶华谷,138,19870403,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0225229.jpg,,,,,,,,,, +,Reissantia arborea,,,,,,,,,,,,,,,,,,, +,Reissantia indica,H.J.Beentje,315,19750527,,330,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01942436.jpg,,,,,,,,,, +西藏猫乳,Rhamnella gilgitica,C.W.Wang,66524,1935/09/,云南,3000,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0035559.jpg,,,,,,,,,, +西藏猫乳,Rhamnella gilgitica,青藏队,2534,19810709,云南省,2900,山坡 灌丛中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01128587.jpg,,,,,,,,,, +西藏猫乳,Rhamnella gilgitica,青藏队横断山队,4256,19810824,四川省,3300,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01128589.jpg,,,,,,,,,, +多脉猫乳,Rhamnella martini,易思荣等,219,20050523,重庆市,1060,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01637565.jpg,,,,,,,,,, +多脉猫乳,Rhamnella martini,武陵队,94,19880608,湖南省,650,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0401432.jpg,,,,,,,,,, +多脉猫乳,Rhamnella martini,邓朝义,DengCY029,20131001,贵州,1322,石山山顶阔叶林,乔木;灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1552253.jpg,,,,,,,,,, +刺鼠李,Rhamnus dumetorum,云南植物,50981,1955/8/25,云南,,,灌木直立,无花有果,https://image.cvh.ac.cn/files/l/WUK/0193634.jpg,,,,,,,,,, +刺鼠李,Rhamnus dumetorum,贺贤育,25018,19570722,浙江省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0402428.jpg,,,,,,,,,, +刺鼠李,Rhamnus dumetorum,北京队,1656,19880618,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01356657.jpg,,,,,,,,,, +圆齿刺鼠李,Rhamnus dumetorum var. crenoserrata,钟补求,6420,19520511,四川省,,坝子,,无花无果,https://image.cvh.ac.cn/files/l/PE/00128892.jpg,,,,,,,,,, +圆齿刺鼠李,Rhamnus dumetorum var. crenoserrata,青藏队,6282,19820507,云南省,2100,山坡 路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01128600.jpg,,,,,,,,,, +圆齿刺鼠李,Rhamnus dumetorum var. crenoserrata,熊耀国,6609,19500611,江西省,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00035071.jpg,,,,,,,,,, +矮小鼠李,Rhamnus minuta,黄河队,1180,19570702,山西省,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0419520.jpg,,,,,,,,,, +矮小鼠李,Rhamnus minuta,康藏植物考察队,25,20111008,西藏自治区,3994,山谷干土坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967732.jpg,,,,,,,,,, +矮小鼠李,Rhamnus minuta,王忠涛等,278,20070624,新疆维吾尔自治区,950,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01878204.jpg,,,,,,,,,, +尼泊尔鼠李,Rhamnus napalensis,林亲众,2004193,20040811,湖南省,300,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01650057.jpg,,,,,,,,,, +尼泊尔鼠李,Rhamnus napalensis,"聂敏祥,赖书伸",3688,1958/7/21,江西,350,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0263520.jpg,,,,,,,,,, +尼泊尔鼠李,Rhamnus napalensis,黄志,31270,1931/11/12,广东,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0109742.jpg,,,,,,,,,, +小叶鼠李,Rhamnus parvifolia,07级1组,07-1-274,20081030,江苏省,200,山坡,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00572389.jpg,,,,,,,,,, +,Rhamnus parvifolia,云台山采集队,1255,20090800,河南省,500~700,路边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015789.jpg,,,,,,,,,, +小叶鼠李,Rhamnus parvifolia,陈彬,CB08917,20150417,福建省,8,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0068533.jpg,,,,,,,,,, +蔓生鼠李,Rhamnus procumbens,青藏队,6305,19750712,西藏自治区,2400,山坡陡壁隙,,无花有果,https://image.cvh.ac.cn/files/l/PE/00143031.jpg,,,,,,,,,, +蔓生鼠李,Rhamnus procumbens,U.Singh,7,19280000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0403748.jpg,,,,,,,,,, +,Rhamnus procumbens,邵阳地区药检所,,19741115,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HUFD/0004563.jpg,,,,,,,,,, +平卧鼠李,Rhamnus prostrata,徐承椿,85966,19850929,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00010322.jpg,,,,,,,,,, +平卧鼠李,Rhamnus prostrata,青藏队 吴玉虎,870546,19870709,新疆维吾尔自治区,3600,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/144381.jpg,,,,,,,,,, +平卧鼠李,Rhamnus prostrata,生物研究所西藏考察队,4024,19740818,西藏自治区,3900,崖边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00143032.jpg,,,,,,,,,, +小冻绿树,Rhamnus rosthornii,T.Tang,1020,19290611,山西,,open mt.in rock crevice,low shrub,无花有果,https://image.cvh.ac.cn/files/l/AU/AU087563.jpg,,,,,,,,,, +小冻绿树,Rhamnus rosthornii,北京队,1760,19880620,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01356736.jpg,,,,,,,,,, +小冻绿树,Rhamnus rosthornii,贺文同,,19850505,江苏,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00010330.jpg,,,,,,,,,, +多脉鼠李,Rhamnus sargentiana,"付国勋,张志松",973,1957/7/22,湖北,2100,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0234078.jpg,,,,,,,,,, +多脉鼠李,Rhamnus sargentiana,青藏队植被组,3201,19740916,西藏自治区,2400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01490349.jpg,,,,,,,,,, +多脉鼠李,Rhamnus sargentiana,鄂神农架植考队,30798,19760626,湖北省,1700,杂木林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01011484.jpg,,,,,,,,,, +甘青鼠李,Rhamnus tangutica,孙学刚等,6243,20060804,甘肃省,2230,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01832340.jpg,,,,,,,,,, +甘青鼠李,Rhamnus tangutica,,447,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01367228.jpg,,,,,,,,,, +甘青鼠李,Rhamnus tangutica,"张树仁,陈淑荣,朗校安等",2089,20140619,四川省,1645~1700,山坡 密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02021905.jpg,,,,,,,,,, +帚枝鼠李,Rhamnus virgata,"罗建, 汪书丽",LiuJQ-08XZ-123,20080729,西藏,,路边林缘灌丛,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1330551.jpg,,,,,,,,,, +帚枝鼠李,Rhamnus virgata,,106,19730616,,2400,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01637806.jpg,,,,,,,,,, +帚枝鼠李,Rhamnus virgata,包士英 严生俊,818,19590826,山西省,2010,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/119583.jpg,,,,,,,,,, +糙毛帚枝鼠李,Rhamnus virgata var. hirsuta,秦仁昌,22896,19290610,云南省,,杂木林内箐边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01636592.jpg,,,,,,,,,, +糙毛帚枝鼠李,Rhamnus virgata var. hirsuta,"李渤生,程树志",997,19820921,西藏自治区,2200,林缘常见灌木,,无花有果,https://image.cvh.ac.cn/files/l/PE/01637526.jpg,,,,,,,,,, +糙毛帚枝鼠李,Rhamnus virgata var. hirsuta,刘慎谔,21673,19461017,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0404499.jpg,,,,,,,,,, +西藏鼠李,Rhamnus xizangensis,"郭,张,乔",GLB0011,19850727,内蒙古自治区,180,沟底湿地,灌木,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI023599.jpg,,,,,,,,,, +西藏鼠李,Rhamnus xizangensis,钟补勤,1815,,贵州省,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0450491.jpg,,,,,,,,,, +西藏鼠李,Rhamnus xizangensis,王启无,72060,1935/4/28,云南,3200,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0045410.jpg,,,,,,,,,, +,Rhaphiolepis bengalensis,,,,,,,,,,,,,,,,,,, +,Rhaphiolepis dubia,,,,,,,,,,,,,,,,,,, +,Rhaphiolepis petiolata,,,,,,,,,,,,,,,,,,, +,Rhaphiolepis tengyuehensis,,,,,,,,,,,,,,,,,,, +,Rhaphiolepis williamtelliana,,,,,,,,,,,,,,,,,,, +,Rhodiola alsia subsp. kawaguchii,,,,,,,,,,,,,,,,,,, +,Rhodiola amabilis,PE西藏队,PE5370,20170828,西藏自治区,4019,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309578.jpg,,,,,,,,,, +柴胡红景天,Rhodiola atsaensis,陈俊通,刘国玺,Deng-9230,20200602,云南,4077.44,,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1513329.jpg,,,,,,,,,, +柴胡红景天,Rhodiola atsaensis,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,2-46,20180812,西藏,4750.9,湖岸湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0193407.jpg,,,,,,,,,, +,Rhodiola atsaensis,西藏中草药普查队,964,19720802,西藏自治区,5200,沙石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100439.jpg,,,,,,,,,, +德钦红景天,Rhodiola atuntsuensis,刘琳、马建中,,20030609,云南省,4400,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002905.jpg,,,,,,,,,, +德钦红景天,Rhodiola atuntsuensis,高信芬,鞠文彬,郑臣臣,THP-KD-5689,20170809,四川省,4832,贡嘎山大本营流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251714.jpg,,,,,,,,,, +德钦红景天,Rhodiola atuntsuensis,"李渤生,程树志,倪志诚",5838,19830726,西藏自治区,4300~4600,高山 灌丛草甸及冰碛石内时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01494844.jpg,,,,,,,,,, +,Rhodiola bupleuroides,罗建,王国严等,LiuJQ-08XZ-062,20080720,西藏,4326,灌丛,草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237103.jpg,,,,,,,,,, +柴胡红景天,Rhodiola bupleuroides,H.Takayama et al.,8531253,19850902,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01783282.jpg,,,,,,,,,, +柴胡红景天,Rhodiola bupleuroides,PE西藏考察队,7070,20180609,西藏自治区,5090,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333300.jpg,,,,,,,,,, +美花红景天,Rhodiola calliantha,"李渤生,李辉,阳艺",13728,19900912,西藏自治区,3100~3600,abies 林下时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01487104.jpg,,,,,,,,,, +,Rhodiola coccinea,邱娟,冯建菊,LiuJQ0111,20080808,新疆,4203,山坡,溪流边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237108.jpg,,,,,,,,,, +圆丛红景天,Rhodiola coccinea,PE西藏考察队,7030,20180608,西藏自治区,4172~4868,湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333198.jpg,,,,,,,,,, +粗糙红景天,Rhodiola coccinea,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20706,20200626,西藏,4765,流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506245.jpg,,,,,,,,,, +,Rhodiola coccinea subsp. scabrida,横断山队植被组,4438,19830706,云南省,4400~4600,高山 杜鹃灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01479961.jpg,,,,,,,,,, +,Rhodiola coccinea subsp. scabrida,"Smith, Harry",11195,22-Aug-34,,,,,,https://image.cvh.ac.cn/files/l/E/E00386363.jpg,,,,,,,,,, +粗糙红景天,Rhodiola coccinea subsp. scabrida,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20706,20200626,西藏,4765,流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506245.jpg,,,,,,,,,, +大花红景天,Rhodiola crenulata,H.Ohba et al.,8570888,19850728,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01783274.jpg,,,,,,,,,, +大花红景天,Rhodiola crenulata,雷一东,20038,20030724,云南省,4600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01268909.jpg,,,,,,,,,, +大花红景天,Rhodiola crenulata,四川植被调查队,乡3172,19730817,四川省,4800,干燥滑坡上面,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100712.jpg,,,,,,,,,, +根出红景天,Rhodiola cretinii,生态室高原组,10391,19800626,西藏自治区,2800,铁杉林间空地石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494043.jpg,,,,,,,,,, +,Rhodiola cretinii,罗建,汪书丽,任德智,LiuJQ-09XZ-ML034,20090927,西藏,4625,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237117.jpg,,,,,,,,,, +高山红景天,Rhodiola cretinii,侯元同、郭成勇、商永泉,130,20150813,吉林省,2371.13,路旁草地,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0006615.jpg,,,,,,,,,, +,Rhodiola cretinii subsp. sinoalpina,,,,,,,,,,,,,,,,,,, +异色红景天,Rhodiola discolor,,H16,19810730,云南省,3720,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494860.jpg,,,,,,,,,, +,Rhodiola discolor,张挺,刘成,郭永杰等,09CS1338,20090719,云南,3432,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237118.jpg,,,,,,,,,, +异色红景天,Rhodiola discolor,H.Ohashi et al.,772472,19770816,,4500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900766.jpg,,,,,,,,,, +小丛红景天,Rhodiola dumulosa,"王文广,黄义钧等",2359,20141024,四川省,1200,附生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01918823.jpg,,,,,,,,,, +小丛红景天,Rhodiola dumulosa,"Ying Taun-shen,Guo Qin-feng. Li Yun-feng,Cui He.",503,19870808,陕西省,,in forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100695.jpg,,,,,,,,,, +小丛红景天,Rhodiola dumulosa,孔冬梅,k1428,20180726,山西,2741,亚高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/SXU/00026281.jpg,,,,,,,,,, +长鞭红景天,Rhodiola fastigiata,何叶祺,2863,19590602,内蒙古自治区,2350,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00843749.jpg,,,,,,,,,, +长鞭红景天,Rhodiola fastigiata,钟补求,8955,19580718,青海省,3860,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/00843764.jpg,,,,,,,,,, +长鞭红景天,Rhodiola fastigiata,,Q131,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810135.jpg,,,,,,,,,, +异齿红景天,Rhodiola heterodonta,,639,1965/6/18,,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0013140.jpg,,,,,,,,,, +异齿红景天,Rhodiola heterodonta,"李渤生,郑度,张百平",10458,19870708,新疆维吾尔自治区,4000~4100,山石内时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01344955.jpg,,,,,,,,,, +异齿红景天,Rhodiola heterodonta,新疆采集队,1202,1978/7/7,新疆维吾尔族自治区,4580,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0334544.jpg,,,,,,,,,, +喜马红景天,Rhodiola himalensis,,750,19750722,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268785.jpg,,,,,,,,,, +喜马红景天,Rhodiola himalensis,D.E.Boufford et al.,37405,20060827,四川省,4605,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01579589.jpg,,,,,,,,,, +洮河红景天,Rhodiola himalensis,洮河调查队,3197,19570602,甘肃省,2600,山坡 阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00884155.jpg,,,,,,,,,, +洮河红景天,Rhodiola himalensis subsp. taohoensis,洮河调查队,3197,19570602,甘肃省,2600,山坡 阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00884155.jpg,,,,,,,,,, +洮河红景天,Rhodiola himalensis subsp. taohoensis,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20833,20200629,西藏,3813,岩壁上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505942.jpg,,,,,,,,,, +背药红景天,Rhodiola hobsonii,PE西藏队,PE5927,20170905,西藏自治区,3020~3526,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309517.jpg,,,,,,,,,, +背药红景天,Rhodiola hobsonii,新疆综合考察队,9424,19590604,新疆维吾尔自治区,4190,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01268758.jpg,,,,,,,,,, +矮生红景天,Rhodiola humilis,青藏队,5885,19750625,西藏自治区,4750,山坡灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01268755.jpg,,,,,,,,,, +矮生红景天,Rhodiola humilis,杨永昌,1103,19650707,青海省,4300,岩石泰石处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268754.jpg,,,,,,,,,, +,Rhodiola humilis,胡君、王东超、李丽、唐露,SC-a-078-B26,20180809,西藏,4300,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260953.jpg,,,,,,,,,, +,Rhodiola humilis var. jialiensis,,,,,,,,,,,,,,,,,,, +,Rhodiola imbricata,,,,,,,,,,,,,,,,,,, +,Rhodiola kaschgarica,"李渤生,郑度,张百平",11294,19870825,新疆维吾尔自治区,5200,山麓湿地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01344959.jpg,,,,,,,,,, +,Rhodiola kaschgarica,,76-103,19760702,西藏自治区,4200,火烧迹地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01268817.jpg,,,,,,,,,, +喀什红景天,Rhodiola kaschgarica,,2158,78.7.29,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00014977.jpg,,,,,,,,,, +,Rhodiola kirilowii,陈世龙,张得钧,高庆波等,ChenSL0144,20080727,青海,4170,金露梅,高山柳灌木丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237158.jpg,,,,,,,,,, +狭叶红景天,Rhodiola kirilowii,,5198,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352557.jpg,,,,,,,,,, +狭叶红景天,Rhodiola kirilowii,"Ying Taun-shen,Guo Qin-feng. Li Yun-feng,Cui He.",470,,陕西省,,in thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100694.jpg,,,,,,,,,, +黄萼红景天,Rhodiola litwinowii,新疆采集队,1360,19780712,新疆维吾尔自治区,4530,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268821.jpg,,,,,,,,,, +黄萼红景天,Rhodiola litwinowii,Sabardina,,19380714,,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005168.jpg,,,,,,,,,, +,Rhodiola macrocarpa,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-1001,20080723,西藏,5307,高山流石滩,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300968.jpg,,,,,,,,,, +大果红景天,Rhodiola macrocarpa,"覃海宁,董仕勇,康云等",183,20010829,四川省,3600~3900,半阴坡、灌丛草间,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100406.jpg,,,,,,,,,, +大果红景天,Rhodiola macrocarpa,青藏队,8716,19820726,云南省,3400,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01109721.jpg,,,,,,,,,, +,Rhodiola namlingensis,,,,,,,,,,,,,,,,,,, +,Rhodiola nepalica,PE西藏队,PE5074,20170825,西藏自治区,3749,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309594.jpg,,,,,,,,,, +,Rhodiola nobilis,"Kingdon-Ward, Frank",37,1911,,,,,,https://image.cvh.ac.cn/files/l/E/E00386372.jpg,,,,,,,,,, +优秀红景天,Rhodiola nobilis,,s.n.,19840000,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268912.jpg,,,,,,,,,, +优秀红景天,Rhodiola nobilis,D.E.Boufford et al.,36611,20060816,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01579612.jpg,,,,,,,,,, +线萼红景天,Rhodiola ovatisepala,M.K.Li,1769,1939/11/13,,2800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0278841.jpg,,,,,,,,,, +卵萼红景天,Rhodiola ovatisepala,刘慎谔,22067,19461221,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00884488.jpg,,,,,,,,,, +,Rhodiola ovatisepala,张挺,李爱花等,08CS735,20080915,西藏,3423,河边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237184.jpg,,,,,,,,,, +秦氏变种,Rhodiola ovatisepala var. chingii,,4141,19720721,西藏自治区,3300,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01810139.jpg,,,,,,,,,, +线萼红景天,Rhodiola ovatisepala var. chingii,M.K.Li,1769,1939/11/13,,2800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0278841.jpg,,,,,,,,,, +秦氏变种,Rhodiola ovatisepala var. chingii,俞德俊,9820,19370823,云南省,3900,rocky hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/00884506.jpg,,,,,,,,,, +四轮红景天,Rhodiola prainii,PE西藏队,PE5198,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309619.jpg,,,,,,,,,, +四轮红景天,Rhodiola prainii,,704,19590730,,3600,坡脚石壁缝间,,有花无果,https://image.cvh.ac.cn/files/l/PE/00845219.jpg,,,,,,,,,, +四轮红景天,Rhodiola prainii,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20526,20200619,西藏,4124,荒坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505789.jpg,,,,,,,,,, +,Rhodiola primuloides subsp. kongboensis,,,,,,,,,,,,,,,,,,, +,Rhodiola purpureoviridis subsp. phariensis,,,,,,,,,,,,,,,,,,, +四裂红景天,Rhodiola quadrifida,PCCZ,T282,19980820,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/183378.jpg,,,,,,,,,, +四裂红景天,Rhodiola quadrifida,杨宗宗,03-218,20030724,新疆省,3500,山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0020472.jpg,,,,,,,,,, +,Rhodiola quadrifida,李晖,文雪梅,熊继贵,Lihui-Q-2010-43,20100913,西藏,4718,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237201.jpg,,,,,,,,,, +圣地红景天,Rhodiola sacra,杨竞生,90-512,1990-09-,西藏省,3950,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0143158.jpg,,,,,,,,,, +圣地红景天,Rhodiola sacra,T.T.Yu,9370,19370804,云南省,4100,rocky hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/00845484.jpg,,,,,,,,,, +圣地红景天,Rhodiola sacra,PE西藏队,PE6579,20170913,西藏自治区,4260,干旱山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309521.jpg,,,,,,,,,, +长毛圣地红景天,Rhodiola sacra var. tsuiana,"张永田,郞楷永",1890,19650818,西藏自治区,5000,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00845490.jpg,,,,,,,,,, +长毛圣地红景天,Rhodiola sacra var. tsuiana,陈彬、朱鑫鑫、沈彬、宋以刚,CSH07472,20140805,四川省,3553,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0017898.jpg,,,,,,,,,, +,Rhodiola sedoides,,,,,,,,,,,,,,,,,,, +齿叶红景天,Rhodiola serrata,西藏中草药普查队,4568,19720901,西藏自治区,3300~3500,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00845616.jpg,,,,,,,,,, +齿叶红景天,Rhodiola serrata,杨竞生,90-562,1990-09-,西藏省,3600,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0143159.jpg,,,,,,,,,, +红景天属,Rhodiola serrata,倪志诚 次旦 次多,2708,19820801,西藏,4100,河谷草地中,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0002542.jpg,,,,,,,,,, +小杯红景天,Rhodiola sherriffii,PE西藏考察队,7131,20180610,西藏自治区,4281,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332101.jpg,,,,,,,,,, +裂叶红景天,Rhodiola sinuata,"张挺, 刘成, 亚吉东",18CS17642,20180914,西藏,3150,高山栎,花楸,小蘗,鸡骨柴林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1483774.jpg,,,,,,,,,, +裂叶红景天,Rhodiola sinuata,余岩、斯云昊,2020537,20200716,四川,3692,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02020537.jpg,,,,,,,,,, +裂叶红景天,Rhodiola sinuata,"杨亲二,袁琼",Yangqe2245,20080813,云南省,3300,林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100462.jpg,,,,,,,,,, +异鳞红景天,Rhodiola smithii,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,00-37,20180811,西藏,4315,湖岸湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0193037.jpg,,,,,,,,,, +异鳞红景天,Rhodiola smithii,黄健,,20100907,西藏自治区,4350,阳坡,小檗灌丛,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0011212.jpg,,,,,,,,,, +托花红景天,Rhodiola stapfii,PE西藏队,PE5513,20170831,西藏自治区,4460,沙砾坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309626.jpg,,,,,,,,,, +西藏红景天,Rhodiola tibetica,"郭本兆,王为义",12466,19750905,青海省,4000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01269383.jpg,,,,,,,,,, +,Rhodiola tibetica,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0377,20080722,西藏,5116,流石滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237175.jpg,,,,,,,,,, +西藏红景天,Rhodiola tibetica,余岩、苏丹美,2020585,20200716,四川,3692,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02020585.jpg,,,,,,,,,, +,Rhodiola tricarpa,,,,,,,,,,,,,,,,,,, +粗茎红景天,Rhodiola wallichiana,,75-915,19750809,西藏自治区,3800,冷杉采伐迹地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269410.jpg,,,,,,,,,, +粗茎红景天,Rhodiola wallichiana,昆明工作站,24089,19591012,云南省,,沟边斜西坡石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01269400.jpg,,,,,,,,,, +,Rhodiola wallichiana,陈家辉,刘亚辉,周妍,赵艳丽,吴志刚,熊力军,YangYP-Q-2205,20090919,云南,3886,林下,路边,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237177.jpg,,,,,,,,,, +大株粗茎红景天,Rhodiola wallichiana var. cholaensis,青藏队,14259,19830924,四川省,3950,宽谷 灌丛下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01109739.jpg,,,,,,,,,, +大株粗茎红景天,Rhodiola wallichiana var. cholaensis,T.T.Yu,14951,19371123,云南省,3600,水边林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01269411.jpg,,,,,,,,,, +大株粗茎红景天,Rhodiola wallichiana var. cholaensis,,585,,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006215.jpg,,,,,,,,,, +,Rhodiola wangii,,,,,,,,,,,,,,,,,,, +云南红景天,Rhodiola yunnanensis,植物所三峡考察队,1440,20080511,重庆市,1759~2176,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01788993.jpg,,,,,,,,,, +云南红景天,Rhodiola yunnanensis,谭士贤等,1685-03,19810614,贵州,1700,,,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0060606.jpg,,,,,,,,,, +,Rhodiola yunnanensis,张挺,郭永杰,刘成,杨娟,孙之星,张云川,08CS592,20080902,云南,3789,高山杜鹃林溪边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237228.jpg,,,,,,,,,, +盐肤木,Rhus chinensis,"郭永杰, 张桥蓉, 黄莉, 李涟漪, 李培, 何德明, 杨映虹",16CS14210,20161022,浙江,4,路边林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1451739.jpg,,,,,,,,,, +盐肤木,Rhus chinensis,FLPH Tibet Expedition,12-1285,20120915,西藏自治区,1500,山谷林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245855.jpg,,,,,,,,,, +盐肤木,Rhus chinensis,宋松泉,HN048,20081001,河南,1500,沟谷,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1452427.jpg,,,,,,,,,, +滨盐肤木,Rhus chinensis var. roxburghii,吕惠珍、桂凌建、岑海锋,451425150913020LY,20150913,广西,645,灌丛,林缘,石灰土,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0184005.jpg,,,,,,,,,, +滨盐肤木,Rhus chinensis var. roxburghii,邬文祥,3587,19580721,江苏省,80,山下之坡地下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245829.jpg,,,,,,,,,, +滨盐肤木,Rhus chinensis var. roxburghii,李全喜,1562,19630710,甘肃省,1500,山谷林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245826.jpg,,,,,,,,,, +红麸杨,Rhus punjabensis,杨永杰,164,20130516,山东省,140,,落叶乔木,有花无果,https://image.cvh.ac.cn/files/l/SDFGR/SDF1006494.jpg,,,,,,,,,, +红麸杨,Rhus punjabensis,Harry Smith,7944,19240310,山西省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01183413.jpg,,,,,,,,,, +红麸杨,Rhus punjabensis,张代贵,2.01E+11,20100714,湖南,789,密林,乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU53182.jpg,,,,,,,,,, +毛叶麸杨,Rhus punjabensis var. pilosa,谭密红,CS7476,20080629,贵州,500,林中,乔木,有花有果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0005918.jpg,,,,,,,,,, +毛叶麸杨,Rhus punjabensis var. pilosa,蒋英,11980,19330913,云南省 ,2300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0423832.jpg,,,,,,,,,, +毛叶麸杨,Rhus punjabensis var. pilosa,傅德志 ,87-0265,19870427,四川省,900,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/003395.jpg,,,,,,,,,, +红麸杨,Rhus punjabensis var. sinica,"溥发鼎,曹亚玲",408,19880630,重庆市,1400,杂灌木林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245957.jpg,,,,,,,,,, +红麸杨,Rhus punjabensis var. sinica,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201489,20200805,西藏,2583,路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509368.jpg,,,,,,,,,, +红麸杨,Rhus punjabensis var. sinica,杨永杰,164,20130516,山东省,140,,落叶乔木,有花无果,https://image.cvh.ac.cn/files/l/SDFGR/SDF1006494.jpg,,,,,,,,,, +,Rhynchosia himalensis,税玉民等,64012,20060728,,1990,石灰岩山松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01861313.jpg,,,,,,,,,, +,Rhynchosia himalensis var. craibiana,236-6队,4473,19830716,,560,河边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00412843.jpg,,,,,,,,,, +长刺茶藨,Ribes alpestre,秦岭队,733,19590829,陕西省,1405,阴处 山脚,,有花无果,https://image.cvh.ac.cn/files/l/PE/01387361.jpg,,,,,,,,,, +长刺茶藨,Ribes alpestre,"李文华,胡勇",81-106,19810603,云南省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01975972.jpg,,,,,,,,,, +长刺茶藨,Ribes alpestre,俞德俊,111,19550703,甘肃省,,林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01812383.jpg,,,,,,,,,, +无腺茶藨子,Ribes alpestre var. eglandulosum,"应俊生,洪德元",651242,19650827,西藏自治区,3200,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00679867.jpg,,,,,,,,,, +无腺茶藨子,Ribes alpestre var. eglandulosum,K.L.Cha,6934,,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00679865.jpg,,,,,,,,,, +无腺茶藨子,Ribes alpestre var. eglandulosum,高信芬、彭玉兰、高云东、余奇,THP-KD-0125,20170426,四川,1429,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254850.jpg,,,,,,,,,, +,Ribes alpinum,王俊儒,251,19620623,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811952.jpg,,,,,,,,,, +高山茶藨子,Ribes alpinum,T.P.Wang,,19360813,山西,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2011658.jpg,,,,,,,,,, +,Ribes alpinum,Licent,5140,19190427,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00047394.jpg,,,,,,,,,, +冰川茶藨子,Ribes glaciale,"唐宇丹,林秦文",2010-113,20100919,西藏自治区,3608,东西向沟谷南坡 潮湿 腐殖土生长,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036681.jpg,,,,,,,,,, +,Ribes glaciale,杨亲二,袁琼,YangQE2105,20080805,云南,3500,林间草地,灌木,,https://image.cvh.ac.cn/files/l/KUN/1237910.jpg,,,,,,,,,, +冰川茶藨子,Ribes glaciale,李培元,3264,1959/6/19,湖北省 ,1850,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0143063.jpg,,,,,,,,,, +曲萼茶藨子,Ribes griffithii,巴山采集队,5003,20110629,四川省,1650,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01872948.jpg,,,,,,,,,, +曲萼茶藨子,Ribes griffithii,杜庆,76-0432,19760704,宁夏回族自治区,2300,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/64196.jpg,,,,,,,,,, +,Ribes griffithii,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2277,20090916,云南,3450,云冷杉林下,灌木,,https://image.cvh.ac.cn/files/l/KUN/1237914.jpg,,,,,,,,,, +吉隆茶藨,Ribes gyirongense,西藏中草药普查队,37,19720601,西藏自治区,2900,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/29000.jpg,,,,,,,,,, +糖茶藨子,Ribes himalense,周太炎等,652092,19650810,新疆维吾尔自治区 ,1820,山沟,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0585294.jpg,,,,,,,,,, +异毛茶藨子,Ribes himalense,李馨,77931,19580627,重庆市,2800,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00680710.jpg,,,,,,,,,, +糖茶藨子,Ribes himalense,T.Tang,926,,山西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0286934.jpg,,,,,,,,,, +毛萼茶藨子,Ribes himalense var. pubicalycinum,青藏队补点组,750049,19750529,西藏自治区,2900,山坡灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00680668.jpg,,,,,,,,,, +毛萼茶藨子,Ribes himalense var. pubicalycinum,,169,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00680657.jpg,,,,,,,,,, +瘤糖茶藨子,Ribes himalense var. verruculosum,,76-217,19760630,西藏自治区,3800,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/00861144.jpg,,,,,,,,,, +瘤糖茶藨子,Ribes himalense var. verruculosum,桑植县林科所,1045,19840711,湖南省,1450,山峪,林子,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0585353.jpg,,,,,,,,,, +瘤糖茶藨子,Ribes himalense var. verruculosum,刘全儒,200608010,20060801,山西,,山坡,灌木,,https://image.cvh.ac.cn/files/l/BNU/0010925.jpg,,,,,,,,,, +裂叶茶藨子,Ribes laciniatum,王作宾,18942,19640409,甘肃省,1000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/56306.jpg,,,,,,,,,, +裂叶茶藨子,Ribes laciniatum,,1088,,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00861382.jpg,,,,,,,,,, +裂叶茶藨子,Ribes laciniatum,PE西藏考察队,7503,20180617,西藏自治区,3821,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332822.jpg,,,,,,,,,, +紫花茶藨子,Ribes luridum,H.T.Tsai,53942,1933/7/30,云南省 ,3500,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0035760.jpg,,,,,,,,,, +紫花茶藨子,Ribes luridum,刘文耀,25,19840000,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00861478.jpg,,,,,,,,,, +,Ribes luridum,,11641,19570508,山西,4300~4200,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00012992.jpg,,,,,,,,,, +东方茶藨子,Ribes orientale,泛喜马拉雅植物志巴基斯坦采集队,FPH-0808,20120624,,2575,riverside,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004738.jpg,,,,,,,,,, +东方茶藨子,Ribes orientale,"郭柯,郑度",P-111,19891016,新疆维吾尔自治区,280~2900,柏树林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00864258.jpg,,,,,,,,,, +,Ribes orientale,杜阳平、唐霄铧、李杰林、李科霖,JZG1069,20190522,四川,3261,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0270457.jpg,,,,,,,,,, +青藏茶藨,Ribes qingzangense,不祥,1274,19620626,青海省,2600,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/000771.jpg,,,,,,,,,, +,Ribes qingzangense,陈世龙,张得钧,高庆波等,ChenSL0356,20080807,青海,3220,云杉林,,,https://image.cvh.ac.cn/files/l/KUN/1238035.jpg,,,,,,,,,, +坛状茶藨,Ribes qingzangense,西藏中草药普查队,3159,19720602,西藏自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/31503.jpg,,,,,,,,,, +坛状茶藨,Ribes qingzangense var. urceolatum,西藏考察队,600,19730619,西藏自治区,3400,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/84423.jpg,,,,,,,,,, +,Ribes stenocarpum,薛春迎,Xuechy0132,20080906,青海,2100,灌丛,灌木,,https://image.cvh.ac.cn/files/l/KUN/1238038.jpg,,,,,,,,,, +,Ribes stenocarpum,李晓东,刘帆,张景博,徐凌翔,LiJ0130,20080908,甘肃,3009,高寒针叶林,灌木,,https://image.cvh.ac.cn/files/l/KUN/1238037.jpg,,,,,,,,,, +长果茶藨,Ribes stenocarpum,,10,19550909,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00682062.jpg,,,,,,,,,, +渐尖茶藨子,Ribes takare,黔北队,1011,19590517,贵州省,,"山顶,灌木丛中",,有花无果,https://image.cvh.ac.cn/files/l/PE/00682184.jpg,,,,,,,,,, +渐尖茶藨子,Ribes takare,B.Bartholomew et al.,1714,19840519,,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01666717.jpg,,,,,,,,,, +渐尖茶藨子,Ribes takare,PE西藏队,PE5930,20170905,西藏自治区,3020~3460,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309901.jpg,,,,,,,,,, +,Ribes takare var. desmocarpum,蔡杰,刘恩德,郭永杰,13CS7662,20130530,西藏,2380,河谷公路边,灌木,,https://image.cvh.ac.cn/files/l/KUN/1321144.jpg,,,,,,,,,, +束果茶藨子,Ribes takare var. desmocarpum,PE西藏考察队,7155,20180625,西藏自治区,3101,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332009.jpg,,,,,,,,,, +束果茶藨子,Ribes takare var. desmocarpum,曲桂齡,2622,19250000,四川省,2600,Among woods,,无花无果,https://image.cvh.ac.cn/files/l/PE/00682205.jpg,,,,,,,,,, +细枝茶藨子,Ribes tenue,白水江采集队,5430,20070525,甘肃省,3000,山坡杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860960.jpg,,,,,,,,,, +细枝茶藨子,Ribes tenue,刘正宇,2030695,20030417,贵州,1500,杂木林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0064308.jpg,,,,,,,,,, +细枝茶藨子,Ribes tenue,"张吉华, 张东红",TanCM3284,20190603,江西,1292,山谷林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1485555.jpg,,,,,,,,,, +蓖麻,Ricinus communis,李增新,1788,19800813,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01922724.jpg,,,,,,,,,, +蓖麻,Ricinus communis,简焯坡等,30155,19630808,贵州省,800,山脚,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932385.jpg,,,,,,,,,, +蓖麻,Ricinus communis,朱鑫鑫,王君,王美华,ZXX202583,20201110,安徽,59,屋边,,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0188664.jpg,,,,,,,,,, +三角车,Rinorea bengalensis,李荫昆,184,19560426,广西壮族自治区,,岩石上山坡阴处疏林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01818999.jpg,,,,,,,,,, +三角车,Rinorea bengalensis,黄志,34635,19331016,海南,,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01818990.jpg,,,,,,,,,, +三角车,Rinorea bengalensis,,2730,,江苏省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0138448.jpg,,,,,,,,,, +,Robinia pseudoacacia,Richard R. Halse,8234,20110615,,602,Roadside; tree are cultivated in area but also escaping widely,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026335.jpg,,,,,,,,,, +七叶鬼灯檠,Rodgersia aesculifolia,蒋英,11391,,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00339154.jpg,,,,,,,,,, +七叶鬼灯檠,Rodgersia aesculifolia,壶瓶山考察队,831,19870626,湖南省,1700~1900,常绿 落叶混交林内 灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01374074.jpg,,,,,,,,,, +,Rodgersia aesculifolia,吴礼慧,田先华,高玉兵,TianXH232,20111006,陕西,1218,落叶阔叶林,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1238057.jpg,,,,,,,,,, +,Rodgersia aesculifolia var. henricii,PE西藏队,PE6848,20170917,西藏自治区,3971,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/02309908.jpg,,,,,,,,,, +,Rodgersia aesculifolia var. henricii,T.T.Yu,13813,19371022,云南省,3200,草坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00682754.jpg,,,,,,,,,, +,Rodgersia nepalensis,,,,,,,,,,,,,,,,,,, +,Rodgersia pinnata,杨光明,SCSB-W-1228,20080909,云南,,落叶阔叶林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238064.jpg,,,,,,,,,, +羽叶鬼灯檠,Rodgersia pinnata,F.Ducloux,,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1230209.jpg,,,,,,,,,, +,Rodgersia pinnata,荒山造林组,31,1953,河北,3600,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00013105.jpg,,,,,,,,,, +鬼灯檠,Rodgersia podophylla,丁宝章,42024,1959.10.,河南,1400,,,无花无果,https://image.cvh.ac.cn/files/l/HENU/0080148.jpg,,,,,,,,,, +鬼灯檠,Rodgersia podophylla,李进宇,ss201207260076,20120726,四川省,2040,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00081399.jpg,,,,,,,,,, +鬼灯檠,Rodgersia podophylla,"Jin Xh,Wang LS,Wang Q et al.",ST1276,20130729,云南省,3400~3600,apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01979477.jpg,,,,,,,,,, +西南鬼灯檠,Rodgersia sambucifolia,毕节队,171,19590711,贵州省,2400,"山脚,荫处",,无花无果,https://image.cvh.ac.cn/files/l/PE/00682838.jpg,,,,,,,,,, +西南鬼灯檠,Rodgersia sambucifolia,青藏队,1172,19810616,云南省,3350,"阳坡,草丛中",,有花无果,https://image.cvh.ac.cn/files/l/PE/00864776.jpg,,,,,,,,,, +西南鬼灯檠,Rodgersia sambucifolia,,107,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/065078.jpg,,,,,,,,,, +复伞房蔷薇,Rosa brunonii,赵良成;王奥;高永巍,BJFUZLC181B06,20200903,四川,1034,,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1552874.jpg,,,,,,,,,, +复伞房蔷薇,Rosa brunonii,,262,19280419,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01449888.jpg,,,,,,,,,, +复伞房蔷薇,Rosa brunonii,罗金龙 冯贵祥,16080933,20160809,湖南省,715,林缘,,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI052858.jpg,,,,,,,,,, +单瓣月季花,Rosa chinensis var. spontanea,Ho-Chang Chow,1991,19341118,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00202757.jpg,,,,,,,,,, +,Rosa chinensis var. spontanea,李明生,4475,19860621,福建省,200,,灌木,有花无果,https://image.cvh.ac.cn/files/l/FJSI/FJSI020163.jpg,,,,,,,,,, +单瓣月季,Rosa chinensis var. spontanea,李秀枝、李银枝,6710,20060617,江西省,40,庭院栽培,,有花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00018112.jpg,,,,,,,,,, +腺梗蔷薇,Rosa filipes,白水江考察队,1616,20060708,甘肃省,1500,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01680090.jpg,,,,,,,,,, +腺梗蔷薇,Rosa filipes,熊杰,2308,19580908,江西省,820,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00203746.jpg,,,,,,,,,, +,Rosa filipes,E. H. Wilson,1228,8-Jul,,1219~2133,,,,https://image.cvh.ac.cn/files/l/HUH/A00032658.jpg,,,,,,,,,, +绣球蔷薇,Rosa glomerata,C.W.Yao,4392,,江苏省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0304632.jpg,,,,,,,,,, +绣球蔷薇,Rosa glomerata,"李渤生,程树志",218,19820818,西藏自治区,2400~2600,铁杉及常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651657.jpg,,,,,,,,,, +绣球蔷薇,Rosa glomerata,魏志平,2483,19580915,甘肃省,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/HHBG/HZ017463.jpg,,,,,,,,,, +当代月季,Rosa hybrida,谭策铭,98176,19980528,江西省,150,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0304953.jpg,,,,,,,,,, +当代月季,Rosa hybrida,陈邦余,6137,19960313,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0304952.jpg,,,,,,,,,, +现代月季,Rosa hybrida,干定枝,1903130,20190317,江西,30,花店购买切花,半常绿有刺灌木,有花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00047407.jpg,,,,,,,,,, +,Rosa leschenaultiana,,,,,,,,,,,,,,,,,,, +大叶蔷薇,Rosa macrophylla,蒋兴麐,36800,19530909,四川,3075,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SN/SN014995.jpg,,,,,,,,,, +大叶蔷薇,Rosa macrophylla,H.Ohba H.Kanai,40163,19830714,西德,3170~2100,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/685222.jpg,,,,,,,,,, +大叶蔷薇,Rosa macrophylla,George Forrest,30493,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651748.jpg,,,,,,,,,, +腺果大叶蔷薇,Rosa macrophylla var. glandulifera,PE西藏队,PE6263,20170910,西藏自治区,2918,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309851.jpg,,,,,,,,,, +腺叶大叶蔷薇,Rosa macrophylla var. glandulifera,"罗建, 汪书丽",LiuJQ-08XZ-211,20080805,西藏,,路边林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1316061.jpg,,,,,,,,,, +腺果大叶蔷薇,Rosa macrophylla var. glandulifera,(4)组,2004030,20010619,河北省,2031~1931,林园路旁,落叶灌木,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC027825.jpg,,,,,,,,,, +毛叶蔷薇,Rosa mairei,D.E.Boufford et al.,28423,19980709,四川省,3550~4000,West facing slopes and seepages in mixed coniferous forest.Shaley slope at edge of road,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597620.jpg,,,,,,,,,, +毛叶蔷薇,Rosa mairei,Joseph F. Rock,24739,1932,云南; YUNNAN,"12,5",,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00077614.jpg,,,,,,,,,, +毛叶蔷薇,Rosa mairei,周应再,ZhouYZ178,20180410,云南,2349,中山湿性常绿阔叶林,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444433.jpg,,,,,,,,,, +,Rosa moyesii,高信芬、朱章明、赵雪利、张良,12595,20100722,西藏,3380~3400,林间,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0217269.jpg,,,,,,,,,, +华西蔷薇,Rosa moyesii,T.P.Wang,3060,19350813,山西省,1600,in valley,,无花有果,https://image.cvh.ac.cn/files/l/PE/01466029.jpg,,,,,,,,,, +,Rosa moyesii,胡婉仪,205,19640901,内蒙古,1750,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00016299.jpg,,,,,,,,,, +峨眉蔷薇,Rosa omeiensis,,,519,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/06819006x0001.jpg,,,,,,,,,, +峨眉蔷薇,Rosa omeiensis,,52,19561103,江西,,,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00016186.jpg,,,,,,,,,, +扁刺峨眉蔷薇,Rosa omeiensis,王明川,GYZ201304080003,20130408,贵州,,阳处路旁疏林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0000039.jpg,,,,,,,,,, +,Rosa roxburghii,方文培; W.P. Fang,10159,1932/6/6,四川; SZECHWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00077714.jpg,,,,,,,,,, +缫丝花,Rosa roxburghii,"朱,刘",663,20030613,浙江省,,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01587912.jpg,,,,,,,,,, +缫丝花,Rosa roxburghii,巴山采集队,5983,20120706,陕西省,610~953,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066278.jpg,,,,,,,,,, +绢毛蔷薇,Rosa sericea,王启无,69708,19350900,云南省 ,3300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0321934.jpg,,,,,,,,,, +绢毛蔷薇,Rosa sericea,fenzel & pai,2684,,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00283986.jpg,,,,,,,,,, +绢毛蔷薇,Rosa sericea,谢登峰、付筱,2027809,20190922,四川,4662,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02027809.jpg,,,,,,,,,, +钝叶蔷薇,Rosa sertata,Wilson,4417 /4645,,湖北; HUPEH,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00077750.jpg,,,,,,,,,, +钝叶蔷薇,Rosa sertata,刘正宇,970770-01,19970805,重庆,700,林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0068254.jpg,,,,,,,,,, +钝叶蔷薇,Rosa sertata,"刘鑫源,赵褔",317,19510605,河北省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01466104.jpg,,,,,,,,,, +川滇蔷薇,Rosa soulieana,高信芬、涂卫国、何海、乔永康,6792,20030901,西藏,2400,云南松林,木质藤本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0237233.jpg,,,,,,,,,, +川滇蔷薇,Rosa soulieana,"周洪富,粟和毅",111262,19640927,重庆市,1730,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00298483.jpg,,,,,,,,,, +川滇蔷薇,Rosa soulieana,付竟秋,70,19580815,河南省,880,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00363427.jpg,,,,,,,,,, +小叶川滇蔷薇,Rosa soulieana var. microphylla,青藏科考队,12193,19760704,西藏自治区,3700,山坡田埂,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/00298671.jpg,,,,,,,,,, +小叶川滇蔷薇,Rosa soulieana var. microphylla,余岩、陈俊佩,2026553,20190821,西藏,2957,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02026553.jpg,,,,,,,,,, +小叶川滇蔷薇,Rosa soulieana var. microphylla,余岩、陈俊佩,2026554,20190821,四川,3313,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02026554.jpg,,,,,,,,,, +大叶川滇蔷薇,Rosa soulieana var. sungpanensis,"何铸,周子林",13887,19520000,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01466115.jpg,,,,,,,,,, +大叶川滇蔷薇,Rosa soulieana var. sungpanensis,吴等,5269,19760830,西藏自治区,2350,有剌灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00298676.jpg,,,,,,,,,, +,Rosa soulieana var. sungpanensis,"Fang, W.P.",1525,2-Aug-28,,,,,,https://image.cvh.ac.cn/files/l/E/E00394606.jpg,,,,,,,,,, +毛叶川滇蔷薇,Rosa soulieana var. yunnanensis,"关克俭,汪劲武,李朝銮",1064,19640704,重庆市,1850,山坡林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00298683.jpg,,,,,,,,,, +毛叶川滇蔷薇,Rosa soulieana var. yunnanensis,中甸队,628,19620809,云南省,2500,缓坡有剌灌丛中或林边?边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00298679.jpg,,,,,,,,,, +毛叶川滇蔷薇,Rosa soulieana var. yunnanensis,刘式乔,95874,19620613,四川,2100,山地路旁灌丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0068195.jpg,,,,,,,,,, +扁刺蔷薇,Rosa sweginzowii,陈全胜,CF07-4101,20180627,内蒙古自治区,1451,沙质草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247013.jpg,,,,,,,,,, +扁刺蔷薇,Rosa sweginzowii,北师大队,LPS2015055,20150724,宁夏省,1874,灌丛草地,,,https://image.cvh.ac.cn/files/l/BNU/0021399.jpg,,,,,,,,,, +,Rosa sweginzowii,彭玉兰、涂卫国、幸福,Gaoxf324,20080718,四川,3800,高山灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0237520.jpg,,,,,,,,,, +腺叶扁刺蔷薇,Rosa sweginzowii var. glandulosa,"熊济华,周子林",92047,19570714,重庆市,1550,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01651595.jpg,,,,,,,,,, +腺叶扁刺蔷薇,Rosa sweginzowii var. glandulosa,蓝顺彬,210,19840902,云南省,3200,杂木林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01651686.jpg,,,,,,,,,, +腺叶扁刺蔷薇,Rosa sweginzowii var. glandulosa,俞德俊,6133,,云南省 ,3300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0322153.jpg,,,,,,,,,, +,Rosa sweginzowii var. inermis,"F.Ludlow,G.Sherriff,& H.H.Elliot",15503,19470721,西藏自治区,3933,on moist ground,,有花无果,https://image.cvh.ac.cn/files/l/PE/00298978.jpg,,,,,,,,,, +藏边蔷薇,Rosa webbiana,albert n.steward and c.y.chiao,487,19310930,贵州省,0~2100,,,有花有果,https://image.cvh.ac.cn/files/l/N/126071479.jpg,,,,,,,,,, +藏边蔷薇,Rosa webbiana,Y.Liu,11999,19350800,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00202125.jpg,,,,,,,,,, +藏边蔷薇,Rosa webbiana,吴玉虎,38534,20060827,青海省,2350,吝惜起阿灌丛,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/00007935.jpg,,,,,,,,,, +多腺小叶蔷薇,Rosa willmottiae,昆明工作站,74514,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0322201.jpg,,,,,,,,,, +小叶蔷薇,Rosa willmottiae,温丁朝,丁时东,10-1201,20100325,贵州,450,灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0176894.jpg,,,,,,,,,, +小叶蔷薇,Rosa willmottiae,李思峰、黎斌、陈昊,14740,20101004,甘肃,976,山坡灌木丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/XBGH/005786.jpg,,,,,,,,,, +多腺小叶蔷薇,Rosa willmottiae var. glandulifera,周洪富等,22382,19570620,四川省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0322210.jpg,,,,,,,,,, +多腺小叶蔷薇,Rosa willmottiae var. glandulifera,昆明工作站,74514,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0322201.jpg,,,,,,,,,, +多腺小叶蔷薇,Rosa willmottiae var. glandulifera,"田效文,汤宗孝,张正华",495,19810703,云南,3450,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821307.jpg,,,,,,,,,, +长叶瓦莲,Rosularia alpestris,,421,72.7.31,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00015088.jpg,,,,,,,,,, +长叶瓦莲,Rosularia alpestris,"李渤生,李辉,阳艺",13897,19900920,西藏自治区,3500~3700,Betula 林下石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487179.jpg,,,,,,,,,, +长叶瓦莲,Rosularia alpestris,新疆采集队,1909,1978/8/4,新疆维吾尔族自治区,3300,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0336740.jpg,,,,,,,,,, +密花节节菜,Rotala densiflora,A.Vvedensky,5548,19281029,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01678688.jpg,,,,,,,,,, +密花节节菜,Rotala densiflora,Shiu Ying Hu,5782,19681006,香港,,in wet area where ipomoea aquatica is cultivate petals acute,,有花无果,https://image.cvh.ac.cn/files/l/PE/01014207.jpg,,,,,,,,,, +密花节节菜,Rotala densiflora,R.C.Ching,7740,19281010,广西壮族自治区,230,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0186219.jpg,,,,,,,,,, +节节菜,Rotala indica,王作宾,16299,1952/8/26,陕西,620,,水生草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0061860.jpg,,,,,,,,,, +节节菜,Rotala indica,华东工作站同人,3565,19510912,安徽省,,稻田内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01014220.jpg,,,,,,,,,, +节节菜,Rotala indica,J.Ohwi,139,19501009,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01678690.jpg,,,,,,,,,, +圆叶节节菜,Rotala rotundifolia,PE-古蔺考察队,321,20100602,四川省,1010~785,林缘路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01864207.jpg,,,,,,,,,, +圆叶节节菜,Rotala rotundifolia,S.Saito,8625,19270506,台湾,,,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0181508.jpg,,,,,,,,,, +圆叶节节菜,Rotala rotundifolia,江西调查队,2641,19541016,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01574556.jpg,,,,,,,,,, +红叶藤,Rourea minor,涂铁要、黄向旭、覃明、吴松明、曾求标、潘淑芳、孙争争,TuTY3326,20170220,广东,102,,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0246632.jpg,,,,,,,,,, +红叶藤,Rourea minor,陈念劬,44719,19321230,海南岛,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00155661.jpg,,,,,,,,,, +红叶藤,Rourea minor,瞿华、王基宇,177,20180626,福建,320,池塘边,藤本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU068150.jpg,,,,,,,,,, +尖叶悬钩子,Rubus acuminatus,刘瑶,4313,20170403,河南,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0013985.jpg,,,,,,,,,, +尖叶悬钩子,Rubus acuminatus,M.Suzuki et al.,8840626,19880913,,2220,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01966281.jpg,,,,,,,,,, +尖叶悬钩子,Rubus acuminatus,辛景三,683,19570903,云南省,1950,山箐 溪边 路边 疏林上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00143283.jpg,,,,,,,,,, +粗叶悬钩子,Rubus alceifolius,刘正宇,6141,19840708,四川省,640,路边,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0008864.jpg,,,,,,,,,, +粗叶悬钩子,Rubus alceifolius,,,19251201,广东,,,,花,https://image.cvh.ac.cn/files/l/SN/SN002289.jpg,,,,,,,,,, +,Rubus alceifolius,张红,1180,20050710,广西壮族自治区,950,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840861.jpg,,,,,,,,,, +,Rubus alexeterius,"Forrest, George",2452,6-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00010562.jpg,,,,,,,,,, +腺毛刺萼悬钩子,Rubus alexeterius,陈俊通,刘国玺,Deng-9278,20200603,云南,2480.11,,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1513310.jpg,,,,,,,,,, +,Rubus alexeterius,,10529,19380624,湖南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0034786.jpg,,,,,,,,,, +腺毛刺萼悬钩子,Rubus alexeterius var. acaenocalyx,生态室高原组,10558,19800617,西藏自治区,3000,高山 栎灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01494489.jpg,,,,,,,,,, +腺毛刺萼悬钩子,Rubus alexeterius var. acaenocalyx,陈俊通,刘国玺,Deng-9278,20200603,云南,2480.11,,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1513310.jpg,,,,,,,,,, +腺毛刺萼悬钩子,Rubus alexeterius var. acaenocalyx,"张寿洲,李良千等",90657,20090721,云南省,3080,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01902068.jpg,,,,,,,,,, +西南悬钩子,Rubus assamensis,华南队,1067,19890525,广西壮族自治区,1200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0322683.jpg,,,,,,,,,, +西南悬钩子,Rubus assamensis,Shui Yumin et al.,21493,20020516,云南省,1500,in lax forests nearby the summit of limestone hills,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863609.jpg,,,,,,,,,, +西南悬钩子,Rubus assamensis,,2021160,20020412,云南,920,杂木林下,灌木,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0069288.jpg,,,,,,,,,, +桔红悬钩子,Rubus aurantiacus,PE西藏队,PE6861,20170917,西藏自治区,3971,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309937.jpg,,,,,,,,,, +橘红悬钩子,Rubus aurantiacus,张志松,402023,19640527,贵州省,1950,,灌木,无花无果,https://image.cvh.ac.cn/files/l/HGAS/018565.jpg,,,,,,,,,, +桔红悬钩子,Rubus aurantiacus,伊廷双,张书东,80586,20080806,陕西省,2966,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221554.jpg,,,,,,,,,, +粉枝莓,Rubus biflorus,汪晓凡,89,1989.06.,河南,400,,,无花有果,https://image.cvh.ac.cn/files/l/HENU/1016155.jpg,,,,,,,,,, +粉枝莓,Rubus biflorus,陈彦生、吴振海、黎斌、郭晓思等,1519,2004/7/12,重庆市,1430,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0489191.jpg,,,,,,,,,, +粉枝莓,Rubus biflorus,李全喜,374,19630627,甘肃省,1900,山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/00143890.jpg,,,,,,,,,, +腺毛粉枝莓,Rubus biflorus var. adenophorus,PE西藏考察队,7941,20180626,西藏自治区,3081~3200,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333169.jpg,,,,,,,,,, +腺毛粉枝莓,Rubus biflorus var. adenophorus,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201296,20200727,西藏,2361,路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505502.jpg,,,,,,,,,, +,Rubus biflorus var. adenophorus,"Delavay, J.M.",889,1884-4-14,,,,,,https://image.cvh.ac.cn/files/l/P/P00746164.jpg,,,,,,,,,, +柔毛粉枝莓,Rubus biflorus var. pubescens,PE西藏队,PE6856,20170917,西藏自治区,3971,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309739.jpg,,,,,,,,,, +柔毛粉枝莓,Rubus biflorus var. pubescens,傅德志等,87-0147,19870421,四川省,750,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/002549.jpg,,,,,,,,,, +,Rubus birmanicus,,,,,,,,,,,,,,,,,,, +,Rubus burkillii,,,,,,,,,,,,,,,,,,, +,Rubus calophyllus,"郭永杰, 张桥蓉, 秦少发, 张凤琼",16CS14493,20161118,西藏,2603,公路边林下灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1448881.jpg,,,,,,,,,, +,Rubus calophyllus,金效华,张书东等,STET1633,20100730,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1224791.jpg,,,,,,,,,, +,Rubus calophyllus,,8588,19280826,,3000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0322890.jpg,,,,,,,,,, +齿萼悬钩子,Rubus calycinus,谭沛祥,A86,,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832900.jpg,,,,,,,,,, +齿萼悬钩子,Rubus calycinus,何铸 钟明芳,,19580801,四川,,阴湿处,草本,无花有果,https://image.cvh.ac.cn/files/l/SM/SM707005167.jpg,,,,,,,,,, +齿萼悬钩子,Rubus calycinus,B.Barhtolomew et D.E.Boufford,3882,19860331,,1350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01683890.jpg,,,,,,,,,, +华中悬钩子,Rubus cockburnianus,浆果,15,19620702,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091615.jpg,,,,,,,,,, +华中悬钩子,Rubus cockburnianus,"J.I.Jeon,H.S.Lee,H.J.Eom, Y.J.Park et B.Liu",SI1451,20100812,四川省,2940,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01993989.jpg,,,,,,,,,, +华中悬钩子,Rubus cockburnianus,王一,2571,20120630,河南,321,灌木丛,,无花有果,https://image.cvh.ac.cn/files/l/HENU/HENU1902571.jpg,,,,,,,,,, +小柱悬钩子,Rubus columellaris,张记军,赵万义,许可旺,张忠,LXP-13-17497,20160520,江西省吉安市,,山谷、壤土、疏林、溪边,陆生、藤本、外倾,,https://image.cvh.ac.cn/files/l/SYS/SYS00182774.jpg,,,,,,,,,, +小柱悬钩子,Rubus columellaris,税玉民,3277,19930804,云南,2300,土山地,山坡密林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01833142.jpg,,,,,,,,,, +小柱悬钩子,Rubus columellaris,张代贵,JH029,20090617,湖南永州,,山谷疏密林,攀援灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU22213.jpg,,,,,,,,,, +,Rubus efferatus,B.Bartholomew et al.,8689,20010904,,675,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026580.jpg,,,,,,,,,, +,Rubus ellipticus,"张挺,郭永杰,易思荣,谭秋平",10CS1692,20100506,重庆,1747,林中,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1316646.jpg,,,,,,,,,, +栽秧泡,Rubus ellipticus,中越考察队,1968,19650207,永福,1100~1000,常绿阔叶林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/689995.jpg,,,,,,,,,, +椭圆悬钩子,Rubus ellipticus,环江县普查队,451226130314047LY,20130314,广西,818,灌丛,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0112711.jpg,,,,,,,,,, +栽秧泡,Rubus ellipticus var. obcordatus,周洪富, 栗和毅,107743,1964/4/19,四川,800,,蔓生灌木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0238147.jpg,,,,,,,,,, +栽秧泡,Rubus ellipticus var. obcordatus,川大,14,1960,四川 ,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0307804.jpg,,,,,,,,,, +栽秧泡,Rubus ellipticus var. obcordatus,"李渤生,程树志",3462,19830112,西藏自治区,1100,路旁灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01793382.jpg,,,,,,,,,, +,Rubus fairholmianus,N.D. Simpson,8551,1931/9/9,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076387.jpg,,,,,,,,,, +弓茎悬钩子,Rubus flosculosus,陈峥玲等,AU01041,20170707,福建,1134,路边,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU083422.jpg,,,,,,,,,, +弓茎悬钩子,Rubus flosculosus,南药组,74,19700704,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840768.jpg,,,,,,,,,, +弓茎悬钩子(山挂牌条),Rubus flosculosus,方英才 王小平,52,19810721,湖南,,山地,灌木,无花有果,https://image.cvh.ac.cn/files/l/NYA/NYA0000458.jpg,,,,,,,,,, +凉山悬钩子,Rubus fockeanus,Faber,521 / 560,,四川; SZECHWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00075733.jpg,,,,,,,,,, +凉山悬钩子,Rubus fockeanus,白水江采集队,180,20060626,甘肃省,2390,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01857606.jpg,,,,,,,,,, +凉山悬钩子,Rubus fockeanus,张代贵,zdg7500,20120823,湖北神龙架,2900,生山坡草地或林下,多年生匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU23116.jpg,,,,,,,,,, +,Rubus franchetianus var. pubescens,,,,,,,,,,,,,,,,,,, +,Rubus ghanakantae,,,,,,,,,,,,,,,,,,, +川西柔毛悬钩子,Rubus gyamdaensis,付筱,雷嘉卿,周雨阳,LJQ-A-026-034,20200927,四川,2999,路边,中生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02065623.jpg,,,,,,,,,, +,Rubus hamiltonii,,,,,,,,,,,,,,,,,,, +,Rubus haridasanii,,,,,,,,,,,,,,,,,,, +豪婆艻 (粤俗),Rubus hexagynus,K.K.TSOONG,0,19181024,广东,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0034341.jpg,,,,,,,,,, +,Rubus hexagynus,N.wallich,1256,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00250231.jpg,,,,,,,,,, +豪婆艻 (粤俗),Rubus hexagynus,K.K.TSOONG,0,19211021,浙江,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0034340.jpg,,,,,,,,,, +汉密悬钩子,Rubus hypopitys var. hanmiensis,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,922,20121017,西藏,,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/BJM/0230478.jpg,,,,,,,,,, +汉密悬钩子,Rubus hypopitys var. hanmiensis,陈伟烈,10711,19800628,西藏自治区,2200,林缘,藤灌,无花有果,https://image.cvh.ac.cn/files/l/PE/00020757.jpg,,,,,,,,,, +拟复盆子,Rubus idaeopsis,,339,,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832039.jpg,,,,,,,,,, +,Rubus idaeopsis,高信芬、涂卫国、何海、乔永康,6769,20030901,西藏,2400,路边,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189543.jpg,,,,,,,,,, +拟复盆子,Rubus idaeopsis,,3-0311,19580829,陕西,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832742.jpg,,,,,,,,,, +白叶莓,Rubus innominatus,詹选怀、彭焱松等,LXP6788,20170621,湖北,1208,山坡、疏林、路旁,灌木,有花无果,https://image.cvh.ac.cn/files/l/LBG/LBG00138621.jpg,,,,,,,,,, +白叶莓,Rubus innominatus,刘慎谔,3287,19511122,黑龙江省,,林边,,无花有果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0018895.jpg,,,,,,,,,, +宽萼白叶莓,Rubus innominatus,,827,1919/7/7,浙江; CHEKIANG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00075825.jpg,,,,,,,,,, +无腺白叶莓,Rubus innominatus var. kuntzeanus,"张寿洲,李良千等",90329,20090624,贵州省,1150,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902157.jpg,,,,,,,,,, +无腺白叶莓,Rubus innominatus var. kuntzeanus,中山大学生科院2011级实习小组,DY3-1119,20120715,湖南省株洲市,,, ,,https://image.cvh.ac.cn/files/l/SYS/SYS00176265.jpg,,,,,,,,,, +无腺白叶莓,Rubus innominatus var. kuntzeanus,张守君,温丁朝,09-4106,20090929,陕西,1550,灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0176932.jpg,,,,,,,,,, +红花悬钩子,Rubus inopertus,巴山采集队,4274,20100804,陕西省,1400,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059157.jpg,,,,,,,,,, +刺萼红花悬钩子,Rubus inopertus,张代贵,xm218,19880126,湖南湘西州,,沟谷,攀援灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU24433.jpg,,,,,,,,,, +红花悬钩子,Rubus inopertus,李良千,138,19880718,湖南省,1200,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833403.jpg,,,,,,,,,, +,Rubus insignis,,,,,,,,,,,,,,,,,,, +紫色悬钩子,Rubus irritans,安,705,19850701,,3100,山地灌草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01433856.jpg,,,,,,,,,, +紫色悬钩子,Rubus irritans,何叶祺,4197,19590722,甘肃省,2800,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01841432.jpg,,,,,,,,,, +紫色悬钩子,Rubus irritans,王战等,1800,19510804,内蒙古自治区,1700,山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01821573.jpg,,,,,,,,,, +,Rubus kumaonensis,M.Suzuki etc.,8840190,19880714,,2200,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261069.jpg,,,,,,,,,, +绢毛悬钩子,Rubus lineatus,"李渤生,程树志",1295,19821013,西藏自治区,,铁杉林间空地河边优势灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832732.jpg,,,,,,,,,, +绢毛悬钩子,Rubus lineatus,M.Suzuki et al.,8810670,19880731,,2520,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01966284.jpg,,,,,,,,,, +绢毛悬钩子,Rubus lineatus,"韩裕丰,邓坤梅",81-538,19810601,云南省,1950,路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01832117.jpg,,,,,,,,,, +光亮悬钩子,Rubus lucens,王启无,80656,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0340169.jpg,,,,,,,,,, +光亮悬钩子,Rubus lucens,S. K. Wu et al.,360,19951029,云南省,1300~840,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863602.jpg,,,,,,,,,, +光亮悬钩子,Rubus lucens,董青松、韦树根、姚绍嫦、闫志刚,451423130519028LY,20130519,广西壮族自治区,491.4,阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0121113.jpg,,,,,,,,,, +细瘦悬钩子,Rubus macilentus,"韩裕丰,邓坤梅,陈永瑞",81-783,19810618,云南,2380,常绿阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01813494.jpg,,,,,,,,,, +细瘦悬钩子,Rubus macilentus,Harry Smith,10073,19340624,四川省,1300,Frutex ramosissimus,,有花无果,https://image.cvh.ac.cn/files/l/PE/01833110.jpg,,,,,,,,,, +细瘦悬钩子,Rubus macilentus,蓝顺彬,372,19850428,云南省,2600,向阳路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01833379.jpg,,,,,,,,,, +,Rubus maershanensis,,,,,,,,,,,,,,,,,,, +喜阴悬钩子,Rubus mesogaeus,"朱鑫鑫, 石琳琳, 段帅帅, 胡梦杰, 吕擎",ZXX18552,20181006,湖北,1598,亚热带针阔混交林,山顶,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1439365.jpg,,,,,,,,,, +喜阴悬钩子,Rubus mesogaeus,"马丹丹,寿海洋",ZJFC369,20070630,浙江省,1380,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863604.jpg,,,,,,,,,, +喜阴悬钩子,Rubus mesogaeus,H.C.Wang,2123,19400500,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0340329.jpg,,,,,,,,,, +,Rubus naruhashii,,,,,,,,,,,,,,,,,,, +白绒悬钩子,Rubus niveus,"张寿洲,李良千等",90280,20090623,贵州省,1251,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902170.jpg,,,,,,,,,, +白绒悬钩子,Rubus niveus,M.Suzuki et al.,8820262,19880708,,,In thicket,,无花有果,https://image.cvh.ac.cn/files/l/PE/01969433.jpg,,,,,,,,,, +红泡刺藤,Rubus niveus,路端正,810747,19811125,湖南,250,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00027183.jpg,,,,,,,,,, +,Rubus ovatisepalus,,,,,,,,,,,,,,,,,,, +圆锥悬钩子,Rubus paniculatus,H.Ohba et S.Akiyama,53037,19910713,Koshi Zone,2340~2140,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/91550.jpg,,,,,,,,,, +圆锥悬钩子,Rubus paniculatus,,734,,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00075965.jpg,,,,,,,,,, +圆锥悬钩子,Rubus paniculatus,PE西藏队,PE6228,20170910,西藏自治区,2488~2994,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309942.jpg,,,,,,,,,, +匍匐悬钩子,Rubus pectinarioides,青藏队,8608,19820726,云南省,3200~3400,Abies 箭竹林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01159619.jpg,,,,,,,,,, +匍匐悬钩子,Rubus pectinarioides,青藏队植被组,3235,19740916,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00055782.jpg,,,,,,,,,, +梳齿悬钩子,Rubus pectinaris,徐洪贵,1167,19950608,四川,1500,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832865.jpg,,,,,,,,,, +梳齿悬钩子,Rubus pectinaris,俞德浚,20082,19380903,云南省,2800,Under woods upon rock,,有花无果,https://image.cvh.ac.cn/files/l/KUN/713462.jpg,,,,,,,,,, +梳齿悬钩子,Rubus pectinaris,王明川,YD260620-489,20140620,贵州,,水旁草坡,草本,无花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0000836.jpg,,,,,,,,,, +,Rubus pedunculosus,黄向旭、钟智波,15876,20130609,西藏自治区,0~1847,山地、路旁、山谷,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0774781.jpg,,,,,,,,,, +密毛纤细悬钩子,Rubus pedunculosus,游水生,689,19840725,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/FJFC/FJFC0008800.jpg,,,,,,,,,, +密毛纤细悬钩子,Rubus pedunculosus,郭本兆,11008,19730318,云南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/33795.jpg,,,,,,,,,, +掌叶悬钩子,Rubus pentagonus,Henry,10233,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076011.jpg,,,,,,,,,, +掌叶悬钩子,Rubus pentagonus,曹岚、赖学文、钟卫津、钟卫红,360734141109927LY,20141109,江西,478,针叶林,藤本植物,无花无果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0003601.jpg,,,,,,,,,, +蔷薇科,Rubus pentagonus,,2433,19590505,安徽,,,,有花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0004277.jpg,,,,,,,,,, +香莓,Rubus pungens,张代贵,zdg5174,20130727,湖北神农架,,河边,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU23365.jpg,,,,,,,,,, +针刺悬钩子,Rubus pungens,"川西队,关克俭,王文采等",1946,19630826,四川省,2550,阴坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02092986.jpg,,,,,,,,,, +针刺悬钩子,Rubus pungens,C.W.Wang,71143,19350700,云南省,3000,woody plants,,有花无果,https://image.cvh.ac.cn/files/l/PE/00316080.jpg,,,,,,,,,, +五叶悬钩子,Rubus quinquefoliolatus,张志松 张永田,4436,19600614,贵州省,1800,山坡灌木丛中,灌木,无花无果,https://image.cvh.ac.cn/files/l/PE/00316209.jpg,,,,,,,,,, +五叶悬钩子,Rubus quinquefoliolatus,中苏队,1437,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0341470.jpg,,,,,,,,,, +五叶悬钩子,Rubus quinquefoliolatus,亚吉东,蔡磊,18CS17582,20180722,云南,2151,荒地,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1488534.jpg,,,,,,,,,, +,Rubus ramachandrae,,,,,,,,,,,,,,,,,,, +空心泡,Rubus rosifolius,谭策铭,99258,19990625,江西,600m,山谷溪流旁,灌木,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00026607.jpg,,,,,,,,,, +空心泡,Rubus rosifolius,侯学良、欣玮玮、张若鹏、张舒欢,2016050259,20160502,福建省,744,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU054522.jpg,,,,,,,,,, +空心泡,Rubus rosifolius,张代贵,JH003,20130426,湖南永州,,林内阴处,直立或攀援灌木,有花有果,https://image.cvh.ac.cn/files/l/JIU/JIU28085.jpg,,,,,,,,,, +,Rubus sengorensis,,,,,,,,,,,,,,,,,,, +川莓,Rubus setchuenensis,Henry,10197,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076164.jpg,,,,,,,,,, +川莓,Rubus setchuenensis,,113,,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00317122.jpg,,,,,,,,,, +川莓,Rubus setchuenensis,浙江植物资源普查队,28171,,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00367382.jpg,,,,,,,,,, +锡金悬钩子,Rubus sikkimensis,青藏队植被组,2635,19740810,西藏自治区,3800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00317146.jpg,,,,,,,,,, +锡金悬钩子,Rubus sikkimensis,王辰,,"星期日, 六月 26, 2011",西藏,,草甸,,,https://image.cvh.ac.cn/files/l/BNU/004265.jpg,,,,,,,,,, +锡金悬钩子,Rubus sikkimensis,黄体冉,HTR0156,20180720,四川,4139,山地草坡,,无花有果,https://image.cvh.ac.cn/files/l/BNU/0056097.jpg,,,,,,,,,, +,Rubus splendidissimus,M.Suzuki etc.,8810403,19880715,,2470,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261057.jpg,,,,,,,,,, +,Rubus splendidissimus,金效华,张书东等,STET1632,20100730,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1224790.jpg,,,,,,,,,, +多刺直立悬钩子,Rubus stans var. soulieanus,黄体冉,HTR0157,20180721,四川,3935,路边灌丛,,无花有果,https://image.cvh.ac.cn/files/l/BNU/0056098.jpg,,,,,,,,,, +,Rubus stans var. soulieanus,"张挺,蔡杰,郭永杰,刘成,张桥蓉",11CS3178,20110818,云南省,3367,路边灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1317040.jpg,,,,,,,,,, +多刺直立悬钩子,Rubus stans var. soulieanus,青藏科考队,11863,19760614,西藏自治区,4000,冷杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00317251.jpg,,,,,,,,,, +美饰悬钩子,Rubus subornatus,"张书东,何华杰",81444,20080926,西藏自治区,3532,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01902166.jpg,,,,,,,,,, +美饰悬钩子,Rubus subornatus,Delavay,2841,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076184.jpg,,,,,,,,,, +美饰悬钩子,Rubus subornatus,"刘杰, 罗亚皇, 刘基男, 谭少林",YMT2600-2-2014,20130610,云南,2720,华山松-云南松林,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1450237.jpg,,,,,,,,,, +红腺悬钩子,Rubus sumatranus,Z. Tashiro,,1934/6/6,Kiushiu: Hishakuda,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076355.jpg,,,,,,,,,, +红腺悬钩子,Rubus sumatranus,"程树志,李渤生",4725,19830428,西藏自治区,1600,林缘路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01793216.jpg,,,,,,,,,, +红腺悬钩子,Rubus sumatranus,宋克先,90243,20090621,云南省,1420,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01902590.jpg,,,,,,,,,, +滇西北悬钩子,Rubus treutleri,G.Forrest,8880,19120800,云南省,2667,open situations amongst rocks.,,无花有果,https://image.cvh.ac.cn/files/l/PE/00317921.jpg,,,,,,,,,, +滇西北悬钩子,Rubus treutleri,M.Suzuki et al.,8810981,19880824,,2530,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01966282.jpg,,,,,,,,,, +滇西北悬钩子,Rubus treutleri,,,19620621,四川,1500,岩壁下草丛中,灌木,有花有果,https://image.cvh.ac.cn/files/l/SM/SM707006270.jpg,,,,,,,,,, +三花悬钩子,Rubus trianthus,C. M. Wang,W05554,20020422,台湾省,1850,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01902283.jpg,,,,,,,,,, +三花悬钩子,Rubus trianthus,,210,19530429,江苏,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01828126.jpg,,,,,,,,,, +三花悬钩子,Rubus trianthus,"Henry Henry No. 6045A, 6045B",6045,,湖北; HUPEH,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00076258.jpg,,,,,,,,,, +,Rubus wallichianus,李洪钧,7294,,湖北省,540,山腰,灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00253818.jpg,,,,,,,,,, +,Rubus wallichianus,白水江采集队,3714,20070428,甘肃省,,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01828555.jpg,,,,,,,,,, +红毛悬钩子,Rubus wallichianus,P.Murgai,94,19550901,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0342681.jpg,,,,,,,,,, +,Rubus wardii,"陈世龙,高庆波,张发起,付鹏程,邢睿",ChenSL1667,20110821,青海省,3080,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1317142.jpg,,,,,,,,,, +悬钩子属,Rubus wardii,倪志诚,136,19830430,西藏,2200,山坡常绿阔叶林林下,,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0003166.jpg,,,,,,,,,, +大花悬钩子,Rubus wardii,青藏队,8270,19820721,云南省,2200~2400,山坡 常绿阔叶林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01159739.jpg,,,,,,,,,, +鄂西清风藤,Sabia campanulata,应俊生等,511,1991/8/8,陕西,2000,,藤本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0478992.jpg,,,,,,,,,, +鄂西清风藤,Sabia campanulata,赵万义,许可旺,刘忠成,叶矾,王晓阳,LXP-13-13069,20150610,江西省赣州市,,山谷、壤土、疏林,陆生、藤本、攀援状,,https://image.cvh.ac.cn/files/l/SYS/SYS00177281.jpg,,,,,,,,,, +鄂西清风藤,Sabia campanulata,"谢中稳,郑麟",97049,19970814,安徽省,1000,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01612859.jpg,,,,,,,,,, +鄂西清风藤,Sabia campanulata subsp. ritchieae,刘正宇,2050336,20050521,重庆,1350,溪边杂木林中,藤状灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0097597.jpg,,,,,,,,,, +鄂西清风藤,Sabia campanulata subsp. ritchieae,孙成仁,117,19820604,四川省,1100,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0427395.jpg,,,,,,,,,, +鄂西清风藤,Sabia campanulata subsp. ritchieae,廉永善等,96517,19960809,甘肃省,1700~1850,杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629896.jpg,,,,,,,,,, +,Sabia lanceolata,G.Forrest,24894,19240000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01379463.jpg,,,,,,,,,, +小花清风藤,Sabia parviflora,,79005,19790421,四川,650,溪边灌木丛中,藤状灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0097604.jpg,,,,,,,,,, +小花清风藤,Sabia parviflora,钟义,4872,19620319,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/029563.jpg,,,,,,,,,, +小花清风藤,Sabia parviflora,贵州队,2945,1960/5/23,贵州,1280,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0226068.jpg,,,,,,,,,, +紫花清风藤,Sabia purpurea,刘长秋,盘波,陆奇丰,段云博,GXIBLQF016B03,20191026,广西,774,,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1500173.jpg,,,,,,,,,, +灌丛清风藤,Sabia purpurea,杭州植物,487,,浙江,,,藤本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0180907.jpg,,,,,,,,,, +灌丛清风藤,Sabia purpurea,李洪钧,3260,1958/6/27,湖北,650,,藤本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0483227.jpg,,,,,,,,,, +紫花清风藤,Sabia purpurea subsp. dumicola,刘长秋,盘波,陆奇丰,段云博,GXIBLQF016B03,20191026,广西,774,,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1500173.jpg,,,,,,,,,, +灌丛清风藤,Sabia purpurea subsp. dumicola,刘正宇,14946,19950817,重庆,760,溪边杂木林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0097603.jpg,,,,,,,,,, +,Sabia purpurea subsp. dumicola,"Yü, Tse-tsun",17082,29-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00438917.jpg,,,,,,,,,, +云南清风藤,Sabia yunnanensis,陈善墉、何铸、钟明芳等,1034,19580622,四川,,沟边林中,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM710300345.jpg,,,,,,,,,, +云南清风藤,Sabia yunnanensis,华东工作站同人,6857,19530901,安徽省,0~900,,,无花有果,https://image.cvh.ac.cn/files/l/N/103166088.jpg,,,,,,,,,, +阔叶清风藤,Sabia yunnanensis,邹惠渝,20120,19840821,福建,850,沟谷边,藤状灌木,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00020371.jpg,,,,,,,,,, +斑茅(大密),Saccharum arundinaceum,刘全儒,孟世勇,GXGS114,20090204,广西省,132,高速公路边,草本,,https://image.cvh.ac.cn/files/l/BNU/0021016.jpg,,,,,,,,,, +斑茅,Saccharum arundinaceum,M.Tamura etc.,15.345,19790915,Northern,1000,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/338877.jpg,,,,,,,,,, +斑茅,Saccharum arundinaceum,,,,海南; Hainan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00002531.jpg,,,,,,,,,, +,Saccharum longesetosum,"李渤生,程树志",1799,19821115,西藏自治区,980,江边石灰岩溶洞岩石缝中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01705540.jpg,,,,,,,,,, +,Saccharum longesetosum,李中提,602597,19590110,广西壮族自治区,,山谷山坡普遍丛生,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520128.jpg,,,,,,,,,, +长齿蔗茅,Saccharum longesetosum,彭华 ,向春雷,陈丽等,PengH2012014,20120430,云南,1877,路边灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403872.jpg,,,,,,,,,, +甘蔗,Saccharum officinarum,,147,19320922,海南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00530586.jpg,,,,,,,,,, +甘蔗,Saccharum officinarum,钟补勤,103,19271002,贵州省,,赤水河岸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620885.jpg,,,,,,,,,, +甘蔗,Saccharum officinarum,马关县普查队,5326251575,20160112,云南省,1177.9,栽培植被,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0038125.jpg,,,,,,,,,, +,Saccharum procerum,,,,,,,,,,,,,,,,,,, +,Saccharum rufipilum,,61,19650504,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855406.jpg,,,,,,,,,, +蔗茅,Saccharum rufipilum,张代贵,lj0125077,20110525,湖北神农架,,山坡谷地,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU48208.jpg,,,,,,,,,, +,Saccharum rufipilum,青藏队,4652,19740912,西藏自治区,3000~3100,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00520243.jpg,,,,,,,,,, +,Saccharum sinense,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180459,20181128,Mon State,,,Grass,无花无果,https://image.cvh.ac.cn/files/l/KUN/1498674.jpg,,,,,,,,,, +竹蔗,Saccharum sinense,韦松基、戴忠华,450603121216419LY,20121216,广西壮族自治区,85,栽培植被,草本,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0147388.jpg,,,,,,,,,, +竹蔗,Saccharum sinense,陈少卿,7161,19510229,广东省,0,栽培,,有花无果,https://image.cvh.ac.cn/files/l/KUN/338855.jpg,,,,,,,,,, +甜根子草,Saccharum spontaneum,Hidenobu Funakoshi et al.,1938,19980929,台湾省,20,Sunny roadside,,有花有果,https://image.cvh.ac.cn/files/l/PE/00620906.jpg,,,,,,,,,, +甜根子草,Saccharum spontaneum,罗成瑜,ALSZY334,20101209,云南,1692,公路边坝子上,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1403905.jpg,,,,,,,,,, +甜根子草,Saccharum spontaneum,"丁广奇,石国良",1080,1963/10/17,广东,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0425706.jpg,,,,,,,,,, +,Saccharum wardii,,,,,,,,,,,,,,,,,,, +囊颖草,Sacciolepis indica,,,19790812,辽宁,,,,有花无果,https://image.cvh.ac.cn/files/l/JSPC/JSPC102947.jpg,,,,,,,,,, +囊颖草属,Sacciolepis indica,S.T.Blake,60,19301129,,,along the forested banks of One Mile Creek,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067089.jpg,,,,,,,,,, +囊颖草,Sacciolepis indica,陈辰,,19610000,辽宁省,,,,无花有果,https://image.cvh.ac.cn/files/l/IFP/15888001x0001.jpg,,,,,,,,,, +间序囊颖草,Sacciolepis interrupta,C.W.Wang,77111,19360600,云南省 ,1400,,,有花有果,https://image.cvh.ac.cn/files/l/LBG/00099526.jpg,,,,,,,,,, +间序囊颖草,Sacciolepis interrupta,"彭华, 向春雷, 陈丽等",PengH8069,20081005,云南,2300,次生林,针阔混交林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1457630.jpg,,,,,,,,,, +鼠尾囊颖草,Sacciolepis myosuroides,F.A.McClure,,1921-11-,海南; HAINAN,250,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00013689.jpg,,,,,,,,,, +鼠尾囊颖草,Sacciolepis myosuroides,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",321,20020815,云南省,2550,山坡次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102133.jpg,,,,,,,,,, +鼠尾囊颖草,Sacciolepis myosuroides,,16724,19280205,广东省,,Mountain side,,有花有果,https://image.cvh.ac.cn/files/l/PE/00621095.jpg,,,,,,,,,, +,Sageretia filiformis,高信芬、涂卫国、何海、乔永康,6880,20030903,西藏自治区,1400,路边灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190258.jpg,,,,,,,,,, +,Sageretia filiformis,武素功,2433,19590906,四川省,1900~2280,"路边,灌丛中",灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0450739.jpg,,,,,,,,,, +,Sageretia filiformis,"郭柯,郑度",P-009,19890930,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01368363.jpg,,,,,,,,,, +纤细雀梅藤,Sageretia gracilis,,76-533,19760818,西藏自治区,2500,阔叶杂木林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01637996.jpg,,,,,,,,,, +纤细雀梅藤,Sageretia gracilis,青藏队,6457,19820512,云南省,2300,澜沧江西岸山沟边灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01853863.jpg,,,,,,,,,, +纤细雀梅藤,Sageretia gracilis,刘慎谔,15479,19460312,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0404703.jpg,,,,,,,,,, +钩刺雀梅藤,Sageretia hamosa,廖文波,赵万义,刘忠成,吴保欢等,LXP-13-16191,,江西省赣州市,395,山谷、腐殖土、密林、溪边,陆生、藤本、攀援状,,https://image.cvh.ac.cn/files/l/SYS/SYS00174455.jpg,,,,,,,,,, +钩刺雀梅藤,Sageretia hamosa,北京队,3624,19880710,,420~520,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00039187.jpg,,,,,,,,,, +钩枝雀梅藤,Sageretia hamosa,张代贵,YY612,20090715,湖南湘西州,,生于林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU50515.jpg,,,,,,,,,, +对结木,Sageretia paucicostata,,,,北京,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00124661.jpg,,,,,,,,,, +少脉雀梅藤,Sageretia paucicostata,张贵志,909017,20100420,湖南,,,,,https://image.cvh.ac.cn/files/l/CSFI/CSFI052601.jpg,,,,,,,,,, +少脉雀梅藤,Sageretia paucicostata,毛品一,2021,19521214,云南省,1300,石山干燥,,有花无果,https://image.cvh.ac.cn/files/l/PE/01368932.jpg,,,,,,,,,, +尾叶雀梅藤,Sageretia subcaudata,"周,董",76040,19760819,湖北省,1850,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01637175.jpg,,,,,,,,,, +尾叶雀梅藤,Sageretia subcaudata,毕节队,1072,19590819,贵州省,2000,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01369086.jpg,,,,,,,,,, +尾叶雀梅藤,Sageretia subcaudata,贵州队,1779,1960/4/19,贵州,400,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0302813.jpg,,,,,,,,,, +,Sageretia yunlongensis,青藏队,1702,19740810,西藏自治区,1300,"山坡,灌丛边",灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0451046.jpg,,,,,,,,,, +,Salacia chinensis,中苏队,7163,19570314,云南省,0~850,路旁、疏林中、阳处,乔木,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769720.jpg,,,,,,,,,, +,Salacia khasiana,,,,,,,,,,,,,,,,,,, +,Salacia salacioides,,,,,,,,,,,,,,,,,,, +,Salix acuminatomicrophylla,,76-392,19760720,西藏自治区,4000,高山灌丛 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658396.jpg,,,,,,,,,, +,Salix acuminatomicrophylla,中英苍山植物考察队,731,19810518,云南省,3150,山顶,灌丛,草地,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0523249.jpg,,,,,,,,,, +白柳,Salix alba,中国科学院青甘调查队,3081,19600801,甘肃省,1280,村旁、道旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/00704435.jpg,,,,,,,,,, +白柳,Salix alba,郭本兆,3255,1956/7/27,甘肃,1300,,乔木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0075832.jpg,,,,,,,,,, +白柳,Salix alba,方振富,3804,19860531,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/03303999w0015.jpg,,,,,,,,,, +,Salix alexeii,,,,,,,,,,,,,,,,,,, +,Salix annulifera var. macroula,何理、廖帅、尚策,PH2012080212,20120802,云南省,3647,山谷河边,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00088300.jpg,,,,,,,,,, +,Salix annulifera var. macroula,,,,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00088302.jpg,,,,,,,,,, +匙叶矮柳,Salix annulifera var. macroula,张挺,刘成,何华杰,19CS18180,20190907,西藏,3737,高山灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1506472.jpg,,,,,,,,,, +圆齿垫柳,Salix anticecrenata,"程树志,李渤生",131,19820815,西藏自治区,4100~4200,高山 灌丛草甸带中近水石上时石优势群落,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490856.jpg,,,,,,,,,, +圆齿垫柳,Salix anticecrenata,北京所横断山队,1997,19810723,云南省,4200~4300,高山草甸石隙,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518302.jpg,,,,,,,,,, +圆齿垫柳,Salix anticecrenata,杨竞生,4641,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0523316.jpg,,,,,,,,,, +垂柳,Salix babylonica,"方振富,林长清,俞萍",1179,19630508,吉林省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00704831.jpg,,,,,,,,,, +垂柳,Salix babylonica,Shiu Ying Hu,5110,19680328,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00705173.jpg,,,,,,,,,, +垂柳,Salix babylonica,T.Naito et al. ,1225,19860515,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804133.jpg,,,,,,,,,, +,Salix bhutanensis,PE西藏考察队,7859,20180625,西藏自治区,3915,高山灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332954.jpg,,,,,,,,,, +双柱柳,Salix bistyla,西藏中草药普查队,4094,19720720,西藏自治区,3400,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00705308.jpg,,,,,,,,,, +双柱柳,Salix bistyla,北京所横断山队,2675,19810805,云南省,2900,白水河 砾石河滩时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01518311.jpg,,,,,,,,,, +双柱柳,Salix bistyla,四川农学院,246,19590622,四川,,阳坡草地,小乔木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM701500269.jpg,,,,,,,,,, +全缘小垫柳,Salix brachista var. integra,张大才等,DC-2-4-2,20170725,四川,4400,沼泽化草甸,垫状灌木,无花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0011391.jpg,,,,,,,,,, +全缘小垫柳,Salix brachista var. integra,,76-348,19760717,西藏自治区,3900,冰川侧碛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00705418.jpg,,,,,,,,,, +,Salix brachista var. pilifera,"蔡杰,郭永杰,刘恩德",13CS6909,20130601,西藏自治区,2958,冷杉林林下,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1325748.jpg,,,,,,,,,, +欧杞柳,Salix caesia,,BH-2-204,20091009,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00082626.jpg,,,,,,,,,, +欧杞柳,Salix caesia,西植新疆队,1079,19780705,新疆维吾尔自治区 ,3600,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0334244.jpg,,,,,,,,,, +欧杞柳,Salix caesia,倪志诚,汪永泽,次多,次旦,1221,19800817,西藏自治区,4750,高山灌丛草甸中,灌木,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0000646.jpg,,,,,,,,,, +贡山长柄垫柳,Salix calyculata,青藏队横断山队,4061,19810813,四川省,4600~4700,山坡 灌丛草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01057479.jpg,,,,,,,,,, +长柄垫柳,Salix calyculata,G.Forrest,26943,19250600,云南省,4333~4667,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00732008.jpg,,,,,,,,,, +贡山长柄垫柳,Salix calyculata,青藏队,10643,19820926,西藏自治区,4200,山坡 灌丛 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057481.jpg,,,,,,,,,, +中华柳,Salix cathayana,唐昌林,1423,1965/5/31,陕西,2600,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0232575.jpg,,,,,,,,,, +中华柳,Salix cathayana,陈炳辉,81,19860527,河南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0347035.jpg,,,,,,,,,, +中华柳,Salix cathayana,何叶祺,1007,1958/10/7,甘肃,1900,,小乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0166958.jpg,,,,,,,,,, +乌柳,Salix cheilophila,黄河队,7345,19560710,内蒙古自治区,,草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/02082607.jpg,,,,,,,,,, +乌柳,Salix cheilophila,"李世英,王庆瑞,黄大乐",3,19550529,青海省,2560,河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01515901.jpg,,,,,,,,,, +乌柳,Salix cheilophila,"吴征镒,陈书坤,杜庆等",75-0317,19750616,西藏自治区,3810,栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/00720353.jpg,,,,,,,,,, +大红柳,Salix cheilophila var. microstachyoides,倪志诚,79247,19800515,西藏自治区,3670,林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057511.jpg,,,,,,,,,, +大红柳,Salix cheilophila var. microstachyoides,刘玉兰,1074,19590520,甘肃,~,,,无花有果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0090064.jpg,,,,,,,,,, +大理柳,Salix daliensis,,7467,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0347247.jpg,,,,,,,,,, +大理柳,Salix daliensis,北京植物所横断山队,8,19810524,云南省,2350,山坡 公路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518295.jpg,,,,,,,,,, +大理柳,Salix daliensis,王光正,389,19510710,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/03303999x0064.jpg,,,,,,,,,, +褐背柳,Salix daltoniana,M Suzuki et al.,9261138,19920531,,3840~4030,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023279.jpg,,,,,,,,,, +褐背柳,Salix daltoniana,PE西藏考察队,7655,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333968.jpg,,,,,,,,,, +褐背柳,Salix daltoniana,李静,SGG1203061,20120514,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/ZY/ZY0000486.jpg,,,,,,,,,, +毛缝腹毛柳,Salix delavayana var. pilososuturalis,郎楷永,李良千,费勇,2641,19830802,四川省,4200,河边,灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0524291.jpg,,,,,,,,,, +光苞腹毛柳,Salix delavayana var. pilososuturalis,余岩、尹涛,2022106,20200715,四川,4350,,,有果无花,https://image.cvh.ac.cn/files/l/SZ/02022106.jpg,,,,,,,,,, +毛缝腹毛柳,Salix delavayana var. pilososuturalis,王为义等,689,19850629,青海省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/110125.jpg,,,,,,,,,, +齿叶柳,Salix denticulata,T.P.Wang,7354,19370721,甘肃省,3200,in valley,shrub,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0032247.jpg,,,,,,,,,, +齿叶柳,Salix denticulata,T. P.Wang,7354,1937/7/21,甘肃,3200,,shrub,有花无果,https://image.cvh.ac.cn/files/l/WUK/0032247.jpg,,,,,,,,,, +齿叶柳,Salix denticulata,Y.Y.Pai,2531,1935/8/8,青海省,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0170934.jpg,,,,,,,,,, +,Salix faxonianoides var. villosa,,,,,,,,,,,,,,,,,,, +扇叶垫柳,Salix flabellaris,宋滋圃,38541,1954/6/15,西康,3625,,匍匐灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0175386.jpg,,,,,,,,,, +柳属,Salix flabellaris,西藏生物所植物资源队,3729,19830823,西藏,4100,高山柳灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0000545.jpg,,,,,,,,,, +扇叶垫柳,Salix flabellaris,"李渤生,程树志",5515,19830713,西藏自治区,4200,高山 灌丛草甸优势种之一,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490805.jpg,,,,,,,,,, +,Salix fruticulosa,何理、阮勇强、尚策,PH110716-05,20110716,西藏自治区,3280,G318 5357.5km,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00084723.jpg,,,,,,,,,, +紫枝柳,Salix heterochroma,四川大学生物系植物调查组,53832,1950/00/00,四川,,,小灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0282670.jpg,,,,,,,,,, +紫枝柳,Salix heterochroma,龙茹,90244,20090517,湖北省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01963583.jpg,,,,,,,,,, +紫枝柳,Salix heterochroma,刘正宇、张军等,S-1742,20170516,重庆,1201,林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0051549.jpg,,,,,,,,,, +川柳,Salix hylonoma,青藏队,6801,19820524,云南省,3100,山坡 桦木樱桃林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057597.jpg,,,,,,,,,, +川柳,Salix hylonoma,F.T.Wang,20867,19300516,,2900,,small tree,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 001353.jpg,,,,,,,,,, +川柳,Salix hylonoma,廉永善等,94082,19940709,甘肃省,2750,路边林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00742153.jpg,,,,,,,,,, +藏西柳,Salix insignis,生物研究所西藏考察队,3501,1.97407e,新疆维吾尔自治区 ,4360,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00001782.jpg,,,,,,,,,, +藏西柳,Salix insignis,陈善墉 何铸 钟明芳,10720,19580713,四川,1750,田坝沟边少见,乔木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM701500177.jpg,,,,,,,,,, +藏西柳,Salix insignis,Y.Iokawa etc.,20320040,20030626,,3450,Between Jharkot and Khingar south side of Jhong Khola,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1264465.jpg,,,,,,,,,, +,Salix karelinii,西藏中草药普查队,42,19720601,西藏自治区,2900,林缘山麓,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636180.jpg,,,,,,,,,, +,Salix karelinii,林叶部,天昭050,19570622,新疆维吾尔自治区,2900,"高山,草地",,无花有果,https://image.cvh.ac.cn/files/l/PE/00733007.jpg,,,,,,,,,, +,Salix karelinii,泛喜马拉雅植物志巴基斯坦采集队,FPH-0692,20120624,,3800~4010,"Forest(Picea,Abies,Pinus),Alpine meadow lake",,无花无果,https://image.cvh.ac.cn/files/l/PE/02005003.jpg,,,,,,,,,, +贵州柳,Salix kouytchensis,青藏队,11150,19821009,云南省,3300,山坡 灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057618.jpg,,,,,,,,,, +贵州柳,Salix kouytchensis,方振富,3116,19800814,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/03303999w0906.jpg,,,,,,,,,, +贵州柳,Salix kouytchensis,"张志松,张永田",3397,19600515,贵州省,450,江边阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636315.jpg,,,,,,,,,, +青藏垫柳,Salix lindleyana,T.N.Ho et al.,2175,19960820,青海省,4540~4670,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00636372.jpg,,,,,,,,,, +青藏垫柳,Salix lindleyana,王辰,,20110623,西藏自治区省,4100~4500,草甸,,有花有果,https://image.cvh.ac.cn/files/l/BNU/0034754.jpg,,,,,,,,,, +,Salix lindleyana,"Rock, Joseph Francis Charles",10346,23-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00235897.jpg,,,,,,,,,, +筐柳,Salix linearistipularis,关克俭,74054,19740418,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00973596.jpg,,,,,,,,,, +筐柳,Salix linearistipularis, ,1012,,山东省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00077931.jpg,,,,,,,,,, +,Salix linearistipularis,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-123-B03,20190816,四川,3744,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260785.jpg,,,,,,,,,, +长花柳,Salix longiflora,单人骅,5738,19580806,浙江省,1200,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00050598.jpg,,,,,,,,,, +长花柳,Salix longiflora,刘棠瑞,180,19410210,广东,,,,无花有果,https://image.cvh.ac.cn/files/l/SN/SN007090.jpg,,,,,,,,,, +长花柳,Salix longiflora,汤庚国,284,,西藏,2700,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2018887.jpg,,,,,,,,,, +丝毛柳,Salix luctuosa,,3108,,重庆市,2100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636946.jpg,,,,,,,,,, +丝毛柳,Salix luctuosa,四川大学生物系植物调查队,49485,1950/00/00,四川,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0285944.jpg,,,,,,,,,, +丝毛柳,Salix luctuosa,李培元,1730,19590601,陕西省,1300~1500,山坡上,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0525196.jpg,,,,,,,,,, +,Salix ludlowiana,,,,,,,,,,,,,,,,,,, +旱柳,Salix matsudana,森改组,463,19560904,宁夏,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00003234.jpg,,,,,,,,,, +旱柳,Salix matsudana,中科院黄河队,2952,1955/8/21,山西,1400,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0078877.jpg,,,,,,,,,, +旱柳,Salix matsudana,周全来,宗璐,巴超群,刘桂材,1-73,20180706,内蒙古,842米,草甸草地,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0249102.jpg,,,,,,,,,, +米黄柳,Salix michelsonii,程云飞,20110802-1,20110802,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00090358.jpg,,,,,,,,,, +米黄柳,Salix michelsonii,西植新疆队,3301,19780827,新疆维吾尔自治区 ,1700,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0340359.jpg,,,,,,,,,, +米黄柳,Salix michelsonii,西植新疆队,3615,1978/9/5,新疆维吾尔族自治区,720,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0341061.jpg,,,,,,,,,, +,Salix myrtillacea,"杨秀森,龙文兴",LWX10043,20130723,海南省,563,热带低地雨林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1325843.jpg,,,,,,,,,, +坡柳,Salix myrtillacea,"孙振华, 郑志兴, 沈蕊, 柳小康, 许远钊",OuXK-YS-210,20191023,云南,,无,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1325847.jpg,,,,,,,,,, +坡柳,Salix myrtillacea,林英,13886,19490414,江西,1000,湖边,,无花无果,https://image.cvh.ac.cn/files/l/JXU/JXU0015651.jpg,,,,,,,,,, +三蕊柳,Salix nipponica,王崇书等,4629,19600605,吉林省,,公路边,大灌木,无花有果,https://image.cvh.ac.cn/files/l/SHM/SHM0015987.jpg,,,,,,,,,, +赛三蕊柳,Salix nipponica,杨人俊,杨人俊B1122,,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF004255.jpg,,,,,,,,,, +剑柳,Salix nipponica,延边二组,224,19590823,吉林,,林缘,湿地,,无花无果,https://image.cvh.ac.cn/files/l/JLSLKY/JLSLKY02016.jpg,,,,,,,,,, +毛坡柳,Salix obscura,F.T.Wang,21209,19300605,四川省,2800,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00637937.jpg,,,,,,,,,, +毛坡柳,Salix obscura,青藏队补点组,750160,19750602,西藏自治区,3000,林间空地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00637942.jpg,,,,,,,,,, +毛坡柳,Salix obscura,D.E.Boufford et al.,37793,20070520,甘肃省,2400~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814839.jpg,,,,,,,,,, +尖齿叶垫柳,Salix oreophila,G.Forrest,24956,19240000,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00732246.jpg,,,,,,,,,, +尖齿叶垫柳,Salix oreophila,青藏队补点组,751538,19750825,西藏自治区,4500~4600,"山顶,草甸",,无花有果,https://image.cvh.ac.cn/files/l/PE/00732244.jpg,,,,,,,,,, +尖齿叶垫柳,Salix oreophila,何理、阮勇强、尚荣,11-220,20110517,青海,3807,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00084380.jpg,,,,,,,,,, +五齿叶垫柳,Salix oreophila var. secta,青藏队补点,751538,19750825,西藏自治区,4500~4600,山顶,草甸,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0525535.jpg,,,,,,,,,, +青山生柳,Salix oritrepha var. amnematchinensis,何叶琪,4917,19590715,甘肃省,2900,山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0389831.jpg,,,,,,,,,, +青山生柳,Salix oritrepha var. amnematchinensis,西藏考察队,2316,19730828,西藏自治区,4000,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/39179.jpg,,,,,,,,,, +青山生柳,Salix oritrepha var. amnematchinensis,李馨,72118,19570821,四川省,3600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00732215.jpg,,,,,,,,,, +康定柳,Salix paraplesia,李磬,70266,1957/4/24,四川,2600,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0253331.jpg,,,,,,,,,, +康定柳,Salix paraplesia,"P.Licent S,J.",10711,19330620,河北省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00732267.jpg,,,,,,,,,, +康定柳,Salix paraplesia,H.Migo,,19580905,江苏省,0,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00101662.jpg,,,,,,,,,, +左旋柳,Salix paraplesia var. subintegra,西藏中草药普查队,3,19720505,西藏自治区,3750,院内,,无花有果,https://image.cvh.ac.cn/files/l/PE/00732482.jpg,,,,,,,,,, +左旋柳,Salix paraplesia var. subintegra,王新光,3,19590921,陕西省,0~3660,,,无花无果,https://image.cvh.ac.cn/files/l/N/056027316.jpg,,,,,,,,,, +左旋柳,Salix paraplesia var. subintegra,何理,廖帅,PH2012090901,20120909,西藏,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00088560.jpg,,,,,,,,,, +亚东柳,Salix paratetradenia var. yatungensis,T.Naito. et al.,1170,19860515,西藏自治区,3100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00732522.jpg,,,,,,,,,, +亚东柳,Salix paratetradenia var. yatungensis,钟补求,5120,19520727,四川省,,山沟阴坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00636564.jpg,,,,,,,,,, +,Salix pseudocalyculata,,,,,,,,,,,,,,,,,,, +裸柱头柳,Salix psilostigma,王清泉,22313,19800612,四川省,3150,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0348419.jpg,,,,,,,,,, +裸头柳,Salix psilostigma,刘正宇,11201,19860418,重庆市,950,杂木林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0027707.jpg,,,,,,,,,, +,Salix psilostigma,,20067,,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0020351.jpg,,,,,,,,,, +密穗柳,Salix pycnostachya,青藏队,8765,19760907,西藏自治区,4300,青棵地旁,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0523581.jpg,,,,,,,,,, +密穗柳,Salix pycnostachya,泛喜马拉雅植物志巴基斯坦采集队,FPH-0359,20120621,,3320,田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005114.jpg,,,,,,,,,, +密穗柳,Salix pycnostachya,张珍万等,4603,19740918,新疆维吾尔自治区 ,1000,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0300010.jpg,,,,,,,,,, +尖果密穗柳,Salix pycnostachya var. oxycarpa,,May-75,19750516,西藏自治区,3700,栽培行道树,,无花有果,https://image.cvh.ac.cn/files/l/PE/00733004.jpg,,,,,,,,,, +,Salix qamdoensis,,,,,,,,,,,,,,,,,,, +,Salix radinostachya,,20263,,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0020313.jpg,,,,,,,,,, +长穗柳 (原变种),Salix radinostachya,白洪兵、和旭,533324180509157LY,20180509,云南,2046,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009932.jpg,,,,,,,,,, +长穗柳,Salix radinostachya,C.S.Chang et al.,SI1381,20100811,四川省,3422,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01900783.jpg,,,,,,,,,, +,Salix radinostachya var. pseudophanera,"张挺,蔡杰,刘成,吴之坤",11CS2780,20110526,云南省,3200,林间开阔草地,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1325896.jpg,,,,,,,,,, +川滇柳,Salix rehderiana,"郎楷永,李良千,费勇",358,19820630,四川省,3600~3800,倒栽冲至南门关口途中石滩上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057762.jpg,,,,,,,,,, +川滇柳,Salix rehderiana,青藏队,1243,19810617,云南省,3210,高山 松林,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057759.jpg,,,,,,,,,, +川滇柳,Salix rehderiana,Chanet,A551,19250714,山东省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00002734.jpg,,,,,,,,,, +灌柳,Salix rehderiana var. dolia,不祥,1139,19620609,青海省,2980,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/000052.jpg,,,,,,,,,, +灌柳,Salix rehderiana var. dolia,白龙江考察队,1555,19990601,四川省,2900,沟谷 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560906.jpg,,,,,,,,,, +灌柳,Salix rehderiana var. dolia,何叶祺,4589,1959/7/9,甘肃,3000,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0155361.jpg,,,,,,,,,, +,Salix reptans,高信芬、涂卫国、何海、乔永康,7631,20030921,西藏自治区,3280,沼泽地,灌木,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190479.jpg,,,,,,,,,, +,Salix reptans,,s.n.,19110708,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01661012.jpg,,,,,,,,,, +南川柳,Salix rosthornii,张代贵,zdg4438,20150629,湖南湘西,,溪边,乔木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU60250.jpg,,,,,,,,,, +南川柳,Salix rosthornii,张代贵,zdg4473,20120505,湖北神农架林区,,林中或路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU64273.jpg,,,,,,,,,, +,Salix rosthornii,熊豫宁,胡君,董晓宇,6115,20130410,江苏,,水沟边,灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00600718.jpg,,,,,,,,,, +对叶柳,Salix salwinensis,H.Hara et al.,,19690719,,3300~3970,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02023265.jpg,,,,,,,,,, +对叶柳,Salix salwinensis,北京植物所横断山队,1440,19810713,云南省,3300~3600,冷杉林缘常见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447781.jpg,,,,,,,,,, +对叶柳,Salix salwinensis,俞德浚,19094,19390000,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0526129.jpg,,,,,,,,,, +硬叶柳,Salix sclerophylla,,6030,19100600,云南省 ,3,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0348622.jpg,,,,,,,,,, +硬叶柳,Salix sclerophylla,Y.Y.Pai,3004,1935/8/29,甘肃,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0281144.jpg,,,,,,,,,, +硬叶柳,Salix sclerophylla,王辰,,20110623,西藏自治区省,4100~4500,草甸,,有花有果,https://image.cvh.ac.cn/files/l/BNU/0034753.jpg,,,,,,,,,, +小叶硬叶柳,Salix sclerophylla var. tibetica,林芹,孙航,俞宏渊,771419,19850529,云南省,4100,山顶,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0526237.jpg,,,,,,,,,, +小叶硬叶柳,Salix sclerophylla var. tibetica,"赵士洞,方振富",989,19730611,四川省,4100,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00774095.jpg,,,,,,,,,, +小叶硬叶柳,Salix sclerophylla var. tibetica,青藏队,5433,19750602,西藏自治区,5100,"小洋马山冲沟中,灌丛",,有花无果,https://image.cvh.ac.cn/files/l/PE/00774105.jpg,,,,,,,,,, +,Salix sclerophylloides var. obtusa,,,,,,,,,,,,,,,,,,, +绢果柳,Salix sericocarpa,泛喜马拉雅植物志巴基斯坦采集队,FPH-0618,20120623,,2400,along the river,,无花有果,https://image.cvh.ac.cn/files/l/PE/02005108.jpg,,,,,,,,,, +绢果柳,Salix sericocarpa,青藏队,76-7757,19760612,西藏自治区,3780,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00774138.jpg,,,,,,,,,, +绢果柳,Salix sericocarpa,W.S.Liou,518,19570403,云南省,2320,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0348641.jpg,,,,,,,,,, +多花小垫柳,Salix serpyllum,PE西藏考察队,7596,20180621,西藏自治区,3796~4100,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332958.jpg,,,,,,,,,, +多花小垫柳,Salix serpyllum,Y.Iokawa etc.,20310105,20030704,,,on the west side slope,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1264693.jpg,,,,,,,,,, +多花小垫柳,Salix serpyllum,吕春朝,24758,19610426,云南省,3100,路边,灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0526258.jpg,,,,,,,,,, +锡金柳,Salix sikkimensis,俞德浚,11383,19370524,云南省,3400,灌木林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0526275.jpg,,,,,,,,,, +锡金柳,Salix sikkimensis,中日考察队,T98,19900523,西藏自治区,3700,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00774231.jpg,,,,,,,,,, +锡金柳,Salix sikkimensis,俞德浚,11525,19390000,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0526277.jpg,,,,,,,,,, +匙叶柳,Salix spathulifolia,,92,19730614,陕西省,2000,林间 阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01573420.jpg,,,,,,,,,, +匙叶柳,Salix spathulifolia,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191508,20190928,云南,4164,亚热带,高山灌丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486009.jpg,,,,,,,,,, +匙叶柳,Salix spathulifolia,不祥,4-2132,19590716,河北省,1680,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/13910.jpg,,,,,,,,,, +,Salix sphaeronymphe var. sphaeronymphoides,,,,,,,,,,,,,,,,,,, +,Salix spodiophylla var. liocarpa,北京所横断山队,2179,19810728,云南省,3700~4100,Abies 林缘及高山草甸中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057849.jpg,,,,,,,,,, +光果灰叶柳,Salix spodiophylla var. liocarpa,赵士栋 方振富,952,19730608,四川省,4000,山脚阳坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0296327.jpg,,,,,,,,,, +,Salix spodiophylla var. liocarpa,青藏队,10460,19820918,西藏自治区,3500,山坡 云杉 林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01057844.jpg,,,,,,,,,, +,Salix staintoniana,,,,,,,,,,,,,,,,,,, +高山柳,Salix takasagoalpina,李晓东,张紫刚,操榆,江红生,LiJ634,20100913,云南,3210,院墙,灌木,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0190561.jpg,,,,,,,,,, +四子柳,Salix tetrasperma,覃海宁等,703,19980416,广西壮族自治区,450,山地水旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984032.jpg,,,,,,,,,, +四子柳,Salix tetrasperma,罗城县普查队,451225130307038LY,20130307,广西,369,灌丛,紫色土,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0114478.jpg,,,,,,,,,, +四子柳,Salix tetrasperma,曹子余,1088,19581022,贵州省,1050,山坡灌木、丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00705202.jpg,,,,,,,,,, +秋华柳,Salix variegata,T.N.Liou,16540,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0348900.jpg,,,,,,,,,, +秋华柳,Salix variegata,张代贵,ZB130324493,20130324,湖北神农架,,溪边,落叶小乔木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU25493.jpg,,,,,,,,,, +秋华柳,Salix variegata,任宪威,781214,19780000,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00035535.jpg,,,,,,,,,, +皂柳,Salix wallichiana,陈照宙,52104,19580904,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00078450.jpg,,,,,,,,,, +皂柳,Salix wallichiana,"张志耘,谢磊等",2012-145,20120523,河北省,1700,"Valley,road side",,无花有果,https://image.cvh.ac.cn/files/l/PE/01900848.jpg,,,,,,,,,, +皂柳,Salix wallichiana,张代贵,ZB130320490,20130320,湖北神农架,,山坡林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU25490.jpg,,,,,,,,,, +眉柳,Salix wangiana,,78,,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00766301.jpg,,,,,,,,,, +眉柳,Salix wangiana,高淑贞,283,19550000,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00766316.jpg,,,,,,,,,, +眉柳,Salix wangiana,崔友文,5045,19510728,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00766318.jpg,,,,,,,,,, +线叶柳,Salix wilhelmsiana,郎学忠,301,19560906,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00766356.jpg,,,,,,,,,, +线叶柳,Salix wilhelmsiana,殷学波,134,19980824,内蒙,,沙地,,,https://image.cvh.ac.cn/files/l/BJM/161124.jpg,,,,,,,,,, +线叶柳,Salix wilhelmsiana,新疆综合考察队,k-175,19590529,新疆维吾尔自治区,2500,河谷水流旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00766387.jpg,,,,,,,,,, +,Salix xiaoguangshanica,,,,,,,,,,,,,,,,,,, +察隅矮柳,Salix zayulica,何理、廖帅,PH2012082010,20120820,西藏自治区,3682,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00090112.jpg,,,,,,,,,, +察隅矮柳,Salix zayulica,H.T.Tsai,53839,1933/7/27,云南省,3400,,shrub,有花无果,https://image.cvh.ac.cn/files/l/WUK/0035791.jpg,,,,,,,,,, +察隅矮柳,Salix zayulica,白洪兵、李红,533324180922995LY,20180922,云南,3867,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009949.jpg,,,,,,,,,, +齿果草,Salomonia cantoniensis,林英,761447,19760703,江西,340,山坡草丛中,一年生,无花无果,https://image.cvh.ac.cn/files/l/JXU/JXU0011646.jpg,,,,,,,,,, +齿果草,Salomonia cantoniensis,陈少卿,1980,19420727,湖南省,,疏林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00744274.jpg,,,,,,,,,, +齿果草,Salomonia cantoniensis,梁光兴,613,19730803,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229036.jpg,,,,,,,,,, +椭圆叶齿果草,Salomonia ciliata,王清江,2227,19590801,福建省,,路边旷地,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/011639.jpg,,,,,,,,,, +,Salomonia ciliata,Shiu Ying Hu,10872,19700823,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01693088.jpg,,,,,,,,,, +椭圆叶齿果草,Salomonia ciliata,,9791,0,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/005606.jpg,,,,,,,,,, +疏花地榆,Sanguisorba diandra,Y.Omori etc.,9900111,19990808,,3965,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1261372.jpg,,,,,,,,,, +疏花地榆,Sanguisorba diandra,魏来、郝加琛,15354,20150728,西藏,3977,路边山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0025953.jpg,,,,,,,,,, +疏花地榆,Sanguisorba diandra,,1269,19590622,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/716176.jpg,,,,,,,,,, +矮地榆,Sanguisorba filiformis,"川西队,关克俭,王文采等",682,19630718,四川省,3500,山坡湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02087624.jpg,,,,,,,,,, +,Sanguisorba filiformis,"尹鑫,吴航,葛文静",LiuJQ-GN-2011-699,20110804,甘肃省,3525,亚高山沼泽化草甸平地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1317179.jpg,,,,,,,,,, +矮地榆,Sanguisorba filiformis,威宁队,522427140928643LY,20140928,贵州省,2343.6,野生植物、中温、湿生、阳性、酸性土、草丛,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0045907.jpg,,,,,,,,,, +地榆,Sanguisorba officinalis,周太炎,652071,19650808,新疆维吾尔自治区 ,2140,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0343053.jpg,,,,,,,,,, +地榆,Sanguisorba officinalis,覃海宁等,18158,20041119,江西省,110,山谷路边,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01861794.jpg,,,,,,,,,, +地榆,Sanguisorba officinalis,刘彬彬,2719,20150823,四川省,,"Shrubs and grassland,on the roadside",,有花无果,https://image.cvh.ac.cn/files/l/PE/02070140.jpg,,,,,,,,,, +寄生花,Sapria himalayana,崔景云,,19861225,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/004055.jpg,,,,,,,,,, +寄生花,Sapria himalayana,李剑武,5032,20171016,云南,1500,竹阔混交林下阴湿沟谷,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026821.jpg,,,,,,,,,, +,Saraca asoca,,,,,,,,,,,,,,,,,,, +肉被麻,Sarcochlamys pulcherrima,方晔,5333241812051245LY,20181205,云南,1283,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009752.jpg,,,,,,,,,, +肉被麻,Sarcochlamys pulcherrima,张书东等,STET2106,20100805,西藏自治区,840,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1261395.jpg,,,,,,,,,, +肉被麻,Sarcochlamys pulcherrima,青藏队,9114,19820809,云南省,1350,山坡常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00508947.jpg,,,,,,,,,, +羽脉野扇花,Sarcococca hookeriana,"S.Noshiro,Y.Omori,Y.Ibaragi etc.",20700014,20070224,,2250,in a Pine forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02029011.jpg,,,,,,,,,, +羽脉野扇花,Sarcococca hookeriana,Liou&Tsoong,3994,19380928,陕西,~,,,无花有果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0091885.jpg,,,,,,,,,, +双蕊野扇花,Sarcococca hookeriana,张代贵、王业清、朱晓琴,2682,20170821,湖北宜昌,2017,路边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE17465.jpg,,,,,,,,,, +双蕊野扇花,Sarcococca hookeriana var. digyna,黄志,43821,19571107,广东省,0,山地,路旁,密林,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0521975.jpg,,,,,,,,,, +双蕊野扇花,Sarcococca hookeriana var. digyna,李振宇,11307,20000916,重庆市,1000,石灰岩潮湿处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629263.jpg,,,,,,,,,, +双蕊野扇花,Sarcococca hookeriana var. digyna,李红、白洪兵,533324180424095LY,20180424,云南,2892,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009294.jpg,,,,,,,,,, +柳叶野扇花,Sarcococca saligna,,75-704,19750717,西藏自治区,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01068749.jpg,,,,,,,,,, +柳叶野扇花,Sarcococca saligna,陈善墉 何铸 钟明芳,11149,,四川,2300,林处,,有花有果,https://image.cvh.ac.cn/files/l/SM/SM708900534.jpg,,,,,,,,,, +柳叶野扇花,Sarcococca saligna,任宪威,29-2008,,云南,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/00058340.jpg,,,,,,,,,, +云南野扇花,Sarcococca wallichii,邹惠渝,10084,19820917,西藏,1800,沟沿边小镇,乔木,有花无果,https://image.cvh.ac.cn/files/l/NF/NF2018143.jpg,,,,,,,,,, +云南野扇花,Sarcococca wallichii,"朱鑫鑫, 王君, 林庶",ZXX191760,20191209,云南,2362,亚热带常绿阔叶林,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483551.jpg,,,,,,,,,, +云南野扇花,Sarcococca wallichii,"张良, 亚吉东, 张桥蓉, 崔光帅, 赵旺林",QTP-II08-T05-000436,20171211,,1603,in Pinus forest mixed with some broad-leaved trees,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484692.jpg,,,,,,,,,, +肉穗草,Sarcopyramis bodinieri,中苏联合云南考察队,3795,19560000,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0159096.jpg,,,,,,,,,, +东方肉穗草,Sarcopyramis bodinieri,陈恒彬,1724,19870813,福建省,1200,水沟边,阴湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879926.jpg,,,,,,,,,, +肉穗草,Sarcopyramis bodinieri,覃海宁等,2093,19981103,广西壮族自治区,1350,山地,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991527.jpg,,,,,,,,,, +,Sarcopyramis napalensis,郭永杰,吴义军,马蓉,孙兴旭,12CS5115,20121029,云南,2396,中山湿性常绿阔叶林林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1304334.jpg,,,,,,,,,, +槠头红,Sarcopyramis napalensis,姚淦等,3586,19900831,西藏自治区,1900,阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00006814.jpg,,,,,,,,,, +椿头红,Sarcopyramis napalensis,张守君,11-4134,20110120,贵州,241,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0171490.jpg,,,,,,,,,, +守宫木,Sauropus androgynus,杨光辉,55555,1957/6/27,云南,1300,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0280116.jpg,,,,,,,,,, +守宫木,Sauropus androgynus,白沙队,,19790830,四川,,灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM708502152.jpg,,,,,,,,,, +,Sauropus androgynus,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180490,20181102,Mon State,,,Herb,有花无果,https://image.cvh.ac.cn/files/l/KUN/1498531.jpg,,,,,,,,,, +长梗守宫木,Sauropus macranthus,李剑武,3579,20130906,云南,1400,沟谷林,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028529.jpg,,,,,,,,,, +长梗守宫木,Sauropus macranthus,60级同学,407,19600507,云南省 ,800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0306221.jpg,,,,,,,,,, +,Sauropus macranthus,y.m.shui together with C.X.Pu and C.L.Nie,14472,20001118,云南省,700,in the limestone forests,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239905.jpg,,,,,,,,,, +,Sauropus stipitatus,,,,,,,,,,,,,,,,,,, +具梗虎耳草,Saxifraga afghanica,刘尚武,88,19650625,青海省,4500,阴坡石崖上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803875.jpg,,,,,,,,,, +短瓣虎耳草,Saxifraga andersonii,中日考察队,T809,19900620,西藏自治区,5100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862221.jpg,,,,,,,,,, +短瓣虎耳草,Saxifraga andersonii,gorz,,19210000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/117066273.jpg,,,,,,,,,, +,Saxifraga aristulata,胡光万,HGW-00070,20070805,云南,4018,冷杉针叶与杜鹃阔叶混交林,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1301120.jpg,,,,,,,,,, +,Saxifraga aristulata,Favre & Matuszak,141,20110820,云南省 ,4001,alpine meadow above tree line,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1230190.jpg,,,,,,,,,, +,Saxifraga aristulata,陈家辉,王赟,刘德团等,YangYP-Q-3218,20100917,西藏,4902,高山草甸,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1238074.jpg,,,,,,,,,, +,Saxifraga aristulata var. longipila,陈家辉,王赟,刘德团等,YangYP-Q-3218,20100917,西藏,4902,高山草甸,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1238074.jpg,,,,,,,,,, +长毛虎耳草,Saxifraga aristulata var. longipila,青藏队,12757,19830809,四川省,3800,"山坡,冷杉林,岩石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862218.jpg,,,,,,,,,, +长毛虎耳草,Saxifraga aristulata var. longipila,T.T.Yu,15406,19370807,云南省,3000,Grassy alope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00683791.jpg,,,,,,,,,, +,Saxifraga assamensis,,,,,,,,,,,,,,,,,,, +错那虎耳草,Saxifraga auriculata var. conaensis,"张书东, 何华杰",81368,20080924,西藏,3371,路边坡上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1458705.jpg,,,,,,,,,, +错那虎耳草,Saxifraga auriculata var. conaensis,魏来,郝加琛,15398,20150728,西藏自治区,3977,路边山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0030405.jpg,,,,,,,,,, +紫花虎耳草,Saxifraga bergenioides,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0371,20130805,西藏自治区,4600,山坡灌丛、草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01993072.jpg,,,,,,,,,, +紫花虎耳草,Saxifraga bergenioides,吴玉虎,493,19780727,青海省,4360,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/112399.jpg,,,,,,,,,, +,Saxifraga bergenioides,"Kingdon-Ward, Frank",5912,8-Jul-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00438842.jpg,,,,,,,,,, +短柄虎耳草,Saxifraga brachypoda,C.W.Wang,65626,19350800,新疆维吾尔自治区 ,3700,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00087532.jpg,,,,,,,,,, +,Saxifraga brachypoda,吴中伦,32028,19580616,四川,,林下,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00013166.jpg,,,,,,,,,, +短柄虎耳草,Saxifraga brachypoda,T.T.Yu,2330,,四川省,3400,Upon rock surface,,有花无果,https://image.cvh.ac.cn/files/l/PE/00683837.jpg,,,,,,,,,, +褐斑虎耳草,Saxifraga brunneopunctata,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201794,20200815,西藏,4041,荒坡上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509293.jpg,,,,,,,,,, +褐斑虎耳草,Saxifraga brunneopunctata,陈世龙、张得钧、段义忠,chen2007122B,20070810,西藏自治区,4530,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008415.jpg,,,,,,,,,, +,Saxifraga brunneopunctata,"Ludlow, Francis & Sherriff, George",8848,21-Jul-42,,,,,,https://image.cvh.ac.cn/files/l/E/E00373349.jpg,,,,,,,,,, +喜马拉雅虎耳草,Saxifraga brunonis,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487590.jpg,,,,,,,,,, +喜马拉雅虎耳草,Saxifraga brunonis,PE西藏考察队,7780,20180624,西藏自治区,3105,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333812.jpg,,,,,,,,,, +喜马拉雅虎耳草,Saxifraga brunonis,G.Forrest,30950,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862273.jpg,,,,,,,,,, +近岩梅虎耳草,Saxifraga caveana,姚淦等,3875,19901007,西藏自治区,4000,冰渍石山坡石缝,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00003704.jpg,,,,,,,,,, +,Saxifraga caveana var. lanceolata,,s.n.,19821010,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01494601.jpg,,,,,,,,,, +零余虎耳草,Saxifraga cernua,,2161,19730719,四川省,3800,"潮湿林下,灌丛中",,有花无果,https://image.cvh.ac.cn/files/l/PE/00683942.jpg,,,,,,,,,, +零余虎耳草,Saxifraga cernua,李书心,7792,19870616,黑龙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/06714003x0002.jpg,,,,,,,,,, +零余虎耳草,Saxifraga cernua,刘瑛,10641,19350800,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01359953.jpg,,,,,,,,,, +春丕虎耳草,Saxifraga chumbiensis,钟补求,5844,19530722,西藏自治区,,山坡岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029796.jpg,,,,,,,,,, +毛瓣虎耳草,Saxifraga ciliatopetala,杨竞生,90-361,1990-07-,西藏省,4900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145739.jpg,,,,,,,,,, +,Saxifraga ciliatopetala,陈文允,于文涛,黄永江,李国锋,CYHL137,20090924,云南,4380,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238081.jpg,,,,,,,,,, +毛瓣虎耳草,Saxifraga ciliatopetala,平措,69,19850814,西藏自治区,5280,山地阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862377.jpg,,,,,,,,,, +截叶虎耳草,Saxifraga clivorum,青藏队植被组,3890,19750611,西藏自治区,4200~5000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00052192.jpg,,,,,,,,,, +,Saxifraga coarctata,,,,,,,,,,,,,,,,,,, +密花虎耳草,Saxifraga congestiflora,钟补求,8363,19580702,青海省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00860119.jpg,,,,,,,,,, +密花虎耳草,Saxifraga congestiflora,T.P.Wang,W.1822,19330804,陕西省,3100~3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862399.jpg,,,,,,,,,, +,Saxifraga congestiflora,,4340,19180714,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00046301.jpg,,,,,,,,,, +棒腺虎耳草,Saxifraga consanguinea,杨竞生,91-575,1991-07-,西藏省,4400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145743.jpg,,,,,,,,,, +,Saxifraga consanguinea,陈世龙,张得钧,高庆波等,ChenSL0311,20080804,青海,4450,草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238082.jpg,,,,,,,,,, +棒腺虎耳草,Saxifraga consanguinea,彭玉兰、张君议、杨焰,THP-KD-4224,20170713,四川,3931~4278,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255592.jpg,,,,,,,,,, +对叶虎耳草,Saxifraga contraria,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20792,20200628,西藏,4879,高山流石滩,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1507779.jpg,,,,,,,,,, +对叶虎耳草,Saxifraga contraria,"李渤生,程树志,倪志诚",25849,19830726,西藏自治区,4400~4800,"高山,水碛砾石内时见",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862394.jpg,,,,,,,,,, +,Saxifraga cordigera,,,,,,,,,,,,,,,,,,, +,Saxifraga decora,,,,,,,,,,,,,,,,,,, +乃东虎耳草,Saxifraga densifoliata var. nedongensis,赵魁义,790,19810824,云南省,4220,高山沼泽,,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0003072.jpg,,,,,,,,,, +,Saxifraga diversifolia,,11443,19380828,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00029804.jpg,,,,,,,,,, +异叶虎耳草,Saxifraga diversifolia,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869556.jpg,,,,,,,,,, +异叶虎耳草,Saxifraga diversifolia,青藏考察队,14459,19830906,四川省,3800,杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869555.jpg,,,,,,,,,, +狭苞异叶虎耳草,Saxifraga diversifolia var. angustibracteata,刘慎谔,21201,19461005,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862473.jpg,,,,,,,,,, +狭苞异叶虎耳草,Saxifraga diversifolia var. angustibracteata,Feng,2838,19390829,四川省,2800,子罗至喇嘛石途边坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862470.jpg,,,,,,,,,, +无睫毛虎耳草,Saxifraga egregia var. eciliata,应俊生 洪德元,650971,19650823,西藏自治区,4000,Abivs林下S坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00858084.jpg,,,,,,,,,, +光萼虎耳草,Saxifraga elliptica,西藏中草药普查队,4276,19720819,西藏自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/33054.jpg,,,,,,,,,, +,Saxifraga elliptica,高信芬、涂卫国、何海、乔永康,6700,20030831,西藏,4800,高寒杜鹃灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189738.jpg,,,,,,,,,, +藏南虎耳草,Saxifraga engleriana,青藏队补点组,750741,19750725,西藏自治区,4100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858091.jpg,,,,,,,,,, +虎耳草属,Saxifraga engleriana,西藏生物所植物资源队,3390,19830727,西藏,4260,湖滨岩石上,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0002811.jpg,,,,,,,,,, +猬状虎耳草,Saxifraga erinacea,青藏补点,751540,19750825,西藏自治区,4600,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/52510.jpg,,,,,,,,,, +线茎虎耳草,Saxifraga filicaulis,X.C.Zhang & L.Shi,959,19970917,四川省,,on open slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814108.jpg,,,,,,,,,, +线茎虎耳草,Saxifraga filicaulis,钟观光,2396,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862583.jpg,,,,,,,,,, +,Saxifraga filicaulis,陆露,Peter W Fritsch,张永彪,张明英,陈小涛,WH-2013-046,20130912,云南,3463,灌丛、有竹林分布,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321166.jpg,,,,,,,,,, +细叶虎耳草,Saxifraga filifolia,北京所横断山队,2300,19810730,云南省,,Abies林中石上 蚂蝗坝,,无花无果,https://image.cvh.ac.cn/files/l/PE/01494802.jpg,,,,,,,,,, +细叶虎耳草,Saxifraga filifolia,张秀实,任有铣,6867,19580827,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00183756.jpg,,,,,,,,,, +,Saxifraga filifolia,"Forrest, George",14651,17-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00373300.jpg,,,,,,,,,, +无顶腺虎耳草,Saxifraga gouldii,邢睿、刘海瑞、高庆波,chen2014449,20140824,西藏自治区,3720,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008939.jpg,,,,,,,,,, +无顶腺虎耳草,Saxifraga gouldii var. eglandulosa,邢睿、刘海瑞、高庆波,chen2014449,20140824,西藏自治区,3720,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008938.jpg,,,,,,,,,, +,Saxifraga granulifera,郭永杰,刘成,10CS1918,20100718,云南,3170,潮湿岩石上,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1238114.jpg,,,,,,,,,, +珠芽虎耳草,Saxifraga granulifera,杨雅玲,779,19730810,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957407.jpg,,,,,,,,,, +珠芽虎耳草,Saxifraga granulifera,郭柯,K-190,19900808,青海省,4820,低凹处沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099570.jpg,,,,,,,,,, +,Saxifraga heleonastes,刘坤,LiuJQ-GN-2011-685,20111005,甘肃,3924,高寒草甸,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1238117.jpg,,,,,,,,,, +沼地虎耳草,Saxifraga heleonastes,李双智等,4-1-5-8,20150929,四川,3688,沼泽化草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0011379.jpg,,,,,,,,,, +沼地虎耳草,Saxifraga heleonastes,陈世龙、张得钧、段义忠,chen2007108,20070810,西藏自治区,3940,高寒湿地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00009001.jpg,,,,,,,,,, +半球虎耳草,Saxifraga hemisphaerica,,55,19640614,青海省,4700,"山地,高山,砾石地",,无花无果,https://image.cvh.ac.cn/files/l/PE/00858376.jpg,,,,,,,,,, +半球虎耳草,Saxifraga hemisphaerica,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20686,20200626,西藏,4675,流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509666.jpg,,,,,,,,,, +半球虎耳草,Saxifraga hemisphaerica,青藏队植被组,9381,19760731,西藏自治区,5044,阴坡。,,有花无果,https://image.cvh.ac.cn/files/l/PE/00052191.jpg,,,,,,,,,, +,Saxifraga hengduanensis,,,,,,,,,,,,,,,,,,, +异枝虎耳草,Saxifraga heteroclada,青藏队,73-1062,19730813,西藏自治区,3900,"山坡,Abies 林中岩石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862644.jpg,,,,,,,,,, +异枝虎耳草,Saxifraga heteroclada var. aurantia,青藏队,73-1062,19730813,西藏自治区,3900,"山坡,Abies 林中岩石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862644.jpg,,,,,,,,,, +,Saxifraga heterocladoides,李渤生等,102,19820815,西藏自治区,4200,高山岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804412.jpg,,,,,,,,,, +,Saxifraga heterocladoides,高信芬、涂卫国、何海、乔永康,6693,20030831,西藏,4800,高寒灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189739.jpg,,,,,,,,,, +近异枝虎耳草,Saxifraga heterocladoides,T.Tang,1401,1929,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145895.jpg,,,,,,,,,, +,Saxifraga heterotricha var. anadena,,,,,,,,,,,,,,,,,,, +唐古拉虎耳草,Saxifraga hirculoides,H. B. G,800,19930805,青海省,3850,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/172073.jpg,,,,,,,,,, +唐古拉虎耳草,Saxifraga hirculoides,邢睿、刘海瑞、高庆波,chen2014484,20140828,西藏自治区,5110,溪边、高寒草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008949.jpg,,,,,,,,,, +山羊味虎耳草,Saxifraga hirculus,陈绍煋,780992,19780730,新疆,,,,,https://image.cvh.ac.cn/files/l/BJM/169232.jpg,,,,,,,,,, +,Saxifraga hirculus,,3,1955,四川云南,3400,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00013133.jpg,,,,,,,,,, +山羊臭虎耳草,Saxifraga hirculus,"Laaksonen,Kyosti",2023,19590809,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01943864.jpg,,,,,,,,,, +,Saxifraga hirculus var. alpina,"S.I. Ali,W. Sugong,T. Ali,G. Ke",3391,19890610,,,无,,,https://image.cvh.ac.cn/files/l/KUN/1295568.jpg,,,,,,,,,, +高山虎耳草,Saxifraga hirculus var. alpina,"李渤生,郑度,张百平",10650,19870711,新疆维吾尔自治区,4600,高山 石上局部 草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345034.jpg,,,,,,,,,, +高山虎耳草,Saxifraga hirculus var. alpina,青藏队,76-8688,19760820,西藏自治区,4800,河滩草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862667.jpg,,,,,,,,,, +,Saxifraga hispidula,张挺,郭永杰,刘成等,10CS2298,20100808,云南,3970,"SW-facing slope, 45°. Rocky scree with Potentilla, Lonicera, Ribes and Helichrysum.",直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1238122.jpg,,,,,,,,,, +,Saxifraga hispidula,张廷,蔡杰,袁明等,09CS1573,20090924,西藏,3829,山坡林下,,,https://image.cvh.ac.cn/files/l/KUN/1238121.jpg,,,,,,,,,, +齿叶虎耳草,Saxifraga hispidula,"杨亲二,孔宏智",98-307,19990909,云南省,4100,山坡石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957440.jpg,,,,,,,,,, +近优越虎耳草,Saxifraga hookeri,青藏队植被组,9640,19760820,西藏自治区,3800,"山坡,草地",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862674.jpg,,,,,,,,,, +隐茎虎耳草,Saxifraga jacquemontiana,韦玉乖,QNSY20182462,20180420,贵州省,467,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0029044.jpg,,,,,,,,,, +隐茎虎耳草,Saxifraga jacquemontiana,"李渤生,程树志,倪志诚",5865,19830726,西藏自治区,,高山 冰碛砾石内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494038.jpg,,,,,,,,,, +,Saxifraga kingdonii,"Kingdon-Ward, Frank",6195,20-Sep-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00438860.jpg,,,,,,,,,, +毛叶虎耳草,Saxifraga kingiana,西藏中草药普查队,1556,19720827,西藏自治区,3700~3900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858595.jpg,,,,,,,,,, +虎耳草属,Saxifraga kingiana,倪志诚 次多 次旦 廖世荣,1966,19810904,西藏,2200,林缘湿润处岩石上,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0002709.jpg,,,,,,,,,, +异条叶虎耳草,Saxifraga lepidostolonosa,青藏队补点组,751986,19750912,西藏自治区,4200,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858611.jpg,,,,,,,,,, +丽江虎耳草,Saxifraga likiangensis,T.T.Yu,11523,19370602,云南省,3000,Under forest of Rhododendron,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862701.jpg,,,,,,,,,, +丽江虎耳草,Saxifraga likiangensis,C.W.Wang,68813,19350000,云南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00340989.jpg,,,,,,,,,, +丽江虎耳草,Saxifraga likiangensis,鞠文彬,张良,陈德奎,AZH01373,20160617,四川,3834,山顶草地石壁,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254606.jpg,,,,,,,,,, +近加拉虎耳草,Saxifraga llonakhensis,G.Forrest,14651,19170800,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862711.jpg,,,,,,,,,, +近加拉虎耳草,Saxifraga llonakhensis,青藏队,10709,19820926,西藏自治区,4700,"山口,岩石上",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862710.jpg,,,,,,,,,, +近加拉虎耳草,Saxifraga llonakhensis,杨竞生,91-576,1991-07-,西藏省,4450,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0145947.jpg,,,,,,,,,, +燃灯虎耳草,Saxifraga lychnitis,张挺,郭永杰,16CS13663,20160831,四川,4659,高原湿地,二年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1434747.jpg,,,,,,,,,, +燃灯虎耳草,Saxifraga lychnitis,青藏队,6680,19750806,西藏自治区,5500,彭?拉山山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858641.jpg,,,,,,,,,, +燃灯虎耳草,Saxifraga lychnitis,青藏队植被组,12963,19760707,,4600,河谷积冰边缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00051944.jpg,,,,,,,,,, +蒙自虎耳草,Saxifraga mengtzeana,,1164,19790617,四川,1500,,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM706501616.jpg,,,,,,,,,, +蒙自虎耳草,Saxifraga mengtzeana,喻勋林、黎明,15032301,20150331,湖南省,200,路边石壁,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI025968.jpg,,,,,,,,,, +蒙自虎耳草,Saxifraga mengtzeana,H.Smith,10300,19340701,四川省,2300,In rupibus muscosis,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862786.jpg,,,,,,,,,, +,Saxifraga montanella,杨竞生,,,西藏省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0146016.jpg,,,,,,,,,, +类毛瓣虎耳草,Saxifraga montanella,,468,19640807,青海省,4600,"山顶,草甸,半阴坡,近山顶处",,有花无果,https://image.cvh.ac.cn/files/l/PE/00858972.jpg,,,,,,,,,, +凹瓣虎毛草,Saxifraga montanella,张发起,zhang20120091,20120917,西藏自治区,4512,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008974.jpg,,,,,,,,,, +凹瓣虎毛草,Saxifraga montanella var. retusa,张发起,zhang20120091,20120917,西藏自治区,4512,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008974.jpg,,,,,,,,,, +聂拉木虎耳草,Saxifraga moorcroftiana,青藏队,74-2403,19740912,西藏自治区,3800,Abies林缘草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00862871.jpg,,,,,,,,,, +聂拉木虎耳草,Saxifraga moorcroftiana,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13974,20161018,四川,3838,山坡灌?丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452374.jpg,,,,,,,,,, +聂拉木虎耳草,Saxifraga moorcroftiana,J.Ebersbach,1493,20140828,云南省,4506,"on gravelly slope,roadside",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1258243.jpg,,,,,,,,,, +小短尖虎耳草,Saxifraga mucronulata,,637,19590709,西藏自治区,5350,?绒一布冰川侧碛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00858979.jpg,,,,,,,,,, +,Saxifraga mucronulata,"Handel-Mazzetti, Heinrich",7343,30-Jul-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00373288.jpg,,,,,,,,,, +痂虎耳草,Saxifraga mucronulatoides,泛喜马拉雅植物志巴基斯坦采集队,FPH-0741,20120624,,3800~4010,"Forest(Picea,Abies,Pinus),Alpine meadow lake",,有花无果,https://image.cvh.ac.cn/files/l/PE/02004746.jpg,,,,,,,,,, +光缘虎耳草,Saxifraga nanella,高庆波,Gao2018124,20180730,青海,4740,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026823.jpg,,,,,,,,,, +光缘虎耳草,Saxifraga nanella,青藏队植被组,12011,19760724,,5200~5400,山坡草甸中及石下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00052035.jpg,,,,,,,,,, +光缘虎耳草,Saxifraga nanella,"汤宗孝,田效文,孙庆国",811,19820825,四川省,4700,高山草甸草场 石质山坡 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01957492.jpg,,,,,,,,,, +秃萼虎耳草,Saxifraga nanella var. glabrisepala,青藏队植被组,12201,19760804,西藏自治区,5200~5400,"山坡,沟边,草甸及石隙中",,有花无果,https://image.cvh.ac.cn/files/l/PE/00858997.jpg,,,,,,,,,, +,Saxifraga nigroglandulifera,张永洪,王晓雄,周卓,岳亮亮,SunH-07ZX-0591,20080722,西藏,4448,高山流石滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238164.jpg,,,,,,,,,, +垂头虎耳草,Saxifraga nigroglandulifera,北京所横断山队,2127,19810728,云南省,3600~4200,高山 杂类草甸冷杉林下常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494076.jpg,,,,,,,,,, +垂头虎耳草,Saxifraga nigroglandulifera,PE西藏队,PE5542,20170831,西藏自治区,4352,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309918.jpg,,,,,,,,,, +黑腺虎耳草,Saxifraga nigroglandulosa,青藏队,5591,19810829,四川省,4600,"山坡,草地",,有花无果,https://image.cvh.ac.cn/files/l/PE/00862904.jpg,,,,,,,,,, +黑腺虎耳草,Saxifraga nigroglandulosa,C.W.Wang,66054,19350800,云南省 ,5850,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00339341.jpg,,,,,,,,,, +黑腺虎耳草,Saxifraga nigroglandulosa,C.W. Wang,66076,1935/08/,四川 ,3800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0066264.jpg,,,,,,,,,, +挪威虎耳草,Saxifraga oppositifolia,清水建美,近田文弘,张佃民,克里木,郎楷永,352,1991.07.,新疆维吾尔自治区 ,2600,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00015509.jpg,,,,,,,,,, +对生叶虎耳草,Saxifraga oppositifolia,,770115,19770626,新疆,3900,,,,https://image.cvh.ac.cn/files/l/BJM/169243.jpg,,,,,,,,,, +挪威虎耳草,Saxifraga oppositifolia,B.Godzik,s.n.,19860701,,10,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01794865.jpg,,,,,,,,,, +刚毛虎耳草,Saxifraga oreophila,周太炎,651185,1965-07-,新疆省,1900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0146039.jpg,,,,,,,,,, +刚毛虎耳草,Saxifraga oreophila,Favre & Matuszak,117,20110818,云南省 ,2920,stony slopes and pastured meadows,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1230175.jpg,,,,,,,,,, +刚毛虎耳草,Saxifraga oreophila,"孙航, 张建文, 陈建国, 陈林杨, 董金龙, 李国栋, 刘常周, 彭德力, 陆覃昱, 张永增",SunH-07ZX-2661,20090925,西藏,4280,高寒草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1238077.jpg,,,,,,,,,, +梅花草叶虎耳草,Saxifraga parnassiifolia,"李渤生,李辉",13314,19900831,西藏自治区,2800,乔松林下石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487624.jpg,,,,,,,,,, +,Saxifraga parva,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0334,20080722,西藏,5116,流石滩,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1301150.jpg,,,,,,,,,, +,Saxifraga parva,陈世龙,张得钧,高庆波,张发起,ChenSL0072,20080724,青海,4400,高寒草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238173.jpg,,,,,,,,,, +小虎耳草,Saxifraga parva,何俊,刘珉璐,陶至彬,1305,20130731,甘肃,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1459819.jpg,,,,,,,,,, +矮小虎耳草,Saxifraga perpusilla,青藏队,76-8300,19760725,西藏自治区,5600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/57916.jpg,,,,,,,,,, +,Saxifraga pilopetala,青藏队,5410,19810827,四川省,4000,山沟冰水,冲积地 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800856.jpg,,,,,,,,,, +,Saxifraga pilopetala,C.W.Wang,65864,19360800,西藏自治区,3500,S-slope Dry grassy,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800858.jpg,,,,,,,,,, +狭瓣虎耳草,Saxifraga pseudohirculus,余奇、熊先华、李琳霖,THP-KD-4848,20170814,四川,3932,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254835.jpg,,,,,,,,,, +狭瓣虎耳草,Saxifraga pseudohirculus,,5134,,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0146056.jpg,,,,,,,,,, +狭瓣虎耳草,Saxifraga pseudohirculus,C.W.Wang,64911,19350803,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00339364.jpg,,,,,,,,,, +垫状虎耳草,Saxifraga pulvinaria,G.Forrest,16281,19190600,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863058.jpg,,,,,,,,,, +垫状虎耳草,Saxifraga pulvinaria,PCCZ,T279,19980819,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/183375.jpg,,,,,,,,,, +垫状虎耳草,Saxifraga pulvinaria,"郑度,郭柯",12107,19880701,新疆维吾尔自治区,3300~3900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352583.jpg,,,,,,,,,, +小斑虎耳草,Saxifraga punctulata,青藏队植被组,7688,19750902,西藏自治区,4600~4800,"冰碛丘陵,砾石地",,有花无果,https://image.cvh.ac.cn/files/l/PE/00859334.jpg,,,,,,,,,, +小斑虎耳草,Saxifraga punctulata,杨永昌,1436,19650819,青海省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0210218.jpg,,,,,,,,,, +小斑虎耳草,Saxifraga punctulata,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201701,20200812,西藏,4919,湖边沙地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508872.jpg,,,,,,,,,, +矮小斑虎耳草,Saxifraga punctulata var. minuta,青藏队植被组,13083,19760722,西藏自治区,5220,高山缓坡座垫植被。,,有花无果,https://image.cvh.ac.cn/files/l/PE/00052203.jpg,,,,,,,,,, +红毛虎耳草,Saxifraga rufescens,三峡考察队,1760,20080716,重庆市,1474~1741,阴湿沟边、林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01857441.jpg,,,,,,,,,, +红毛虎耳草,Saxifraga rufescens,albert n.steward and c.y.chiao,358,19330507,广西壮族自治区,0~1040,,,有花无果,https://image.cvh.ac.cn/files/l/N/117066228.jpg,,,,,,,,,, +红毛虎耳草,Saxifraga rufescens,宿秀江,刘和兵,433125D00170923045,20120923,湖南省,447.41,,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU07128.jpg,,,,,,,,,, +漆姑虎耳草,Saxifraga saginoides,,A-g-028,1986.08.,新疆维吾尔自治区 ,4700,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00015523.jpg,,,,,,,,,, +漆姑虎耳草,Saxifraga saginoides,张林、李星月、张晓严,2-250,20180624,西藏,5151,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023929.jpg,,,,,,,,,, +漆姑虎耳草,Saxifraga saginoides,刘照光,22937,1980-08-,四川省,4800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0146100.jpg,,,,,,,,,, +球茎虎耳草,Saxifraga sibirica,步瑞兰,辛晓伟,郭雷,刘燕芳,Lilan728,20140525,山东,670,温带草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1439424.jpg,,,,,,,,,, +球茎虎耳草,Saxifraga sibirica,李书心,7386,19860802,黑龙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/06714004x0003.jpg,,,,,,,,,, +球茎虎耳草,Saxifraga sibirica,果洛队,521,19710816,青海省,3960,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/25596.jpg,,,,,,,,,, +山地虎耳草,Saxifraga sinomontana,陈生云、张得钧、高庆波,chen06218,20060916,云南省,4310,高山草甸、流石滩、灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00009174.jpg,,,,,,,,,, +山地虎耳草,Saxifraga sinomontana,邢睿、王久利、刘海瑞、高庆波,chen2014058,20140719,甘肃省,3790,溪边金露梅、高山绣线菊灌丛,高寒草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00009063.jpg,,,,,,,,,, +山地虎耳草,Saxifraga sinomontana,"苏旭, 刘峰, 吕婷, 马子兰",QTP-LJQ-1432-1049,20190827,青海,3620,山坡草地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1479127.jpg,,,,,,,,,, +秃叶虎耳草,Saxifraga sphaeradena,"李渤生,李辉,阳艺",13478,19900904,西藏自治区,3800,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487635.jpg,,,,,,,,,, +秃叶虎耳草,Saxifraga sphaeradena,王启无,66118,19350800,四川省,3000,peck region rocks,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00001336.jpg,,,,,,,,,, +,Saxifraga sphaeradena subsp. dhwojii,,,,,,,,,,,,,,,,,,, +金星虎耳草,Saxifraga stella-aurea,程树志等 ,713,19820905,西藏自治区,4100~4300,高山灌丛草甸石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804435.jpg,,,,,,,,,, +,Saxifraga stella-aurea,徐波,陈光富,陈林杨,董金龙等,SunH-07ZX-1592,20080925,西藏,4418,高山灌丛,流石滩,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1301162.jpg,,,,,,,,,, +金星虎耳草,Saxifraga stella-aurea,不祥,189,19640701,青海省,4850,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/003995.jpg,,,,,,,,,, +,Saxifraga stella-aurea var. macrostellata,,,,,,,,,,,,,,,,,,, +大花虎耳草,Saxifraga stenophylla,郝加琛,周瑜,16671,20160711,新疆维吾尔自治区,2300,高山草甸,草本,,https://image.cvh.ac.cn/files/l/BNU/0030271.jpg,,,,,,,,,, +大花虎耳草,Saxifraga stenophylla,T.T.Yu,12311,19370720,云南省,3700,Alpine grass slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859691.jpg,,,,,,,,,, +大花虎耳草,Saxifraga stenophylla,余奇、周晓雪,THP-KD-4445,20170714,四川,3876~4113,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255416.jpg,,,,,,,,,, +,Saxifraga strigosa,胡君、王东超、李丽、唐露,SC-a-091-B32,20180814,西藏,,高山栎群落中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609404.jpg,,,,,,,,,, +伏毛虎耳草,Saxifraga strigosa,H.Smith,13536,19341119,四川省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863232.jpg,,,,,,,,,, +伏毛虎耳草,Saxifraga strigosa,Favre,2012,20120927,,2678,on rocks,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1230162.jpg,,,,,,,,,, +单窝虎耳草,Saxifraga subsessiliflora,"吴征镒,陈书坤,杜庆,庐树林",75-954,19750718,西藏自治区,,第一台泳川湖石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00859696.jpg,,,,,,,,,, +单窝虎耳草,Saxifraga subsessiliflora,青藏队 吴玉虎,870397,19870703,新疆维吾尔自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/144165.jpg,,,,,,,,,, +疏叶虎耳草,Saxifraga substrigosa,PE西藏队,PE5827,20170903,西藏自治区,3401,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333560.jpg,,,,,,,,,, +,Saxifraga substrigosa,罗建,汪书丽,LiuJQ-08XZ-206,20080805,西藏,3513,路边林缘草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238230.jpg,,,,,,,,,, +疏叶虎耳草(原变种),Saxifraga substrigosa,李启瑞,5226312019040335LY,20190403,贵州,1150,草甸、湿生、阳性、中温、石生、野生植物,多年生草本植物,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0100497.jpg,,,,,,,,,, +,Saxifraga tangutica,齐威,LJQ-2008-GN-391,20080910,甘肃,4011,高寒草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1238251.jpg,,,,,,,,,, +,Saxifraga tangutica,高云东,李忠荣,鞠文彬,GaoXF-12-117,20120921,四川,4488,高山草地高山草甸,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1238250.jpg,,,,,,,,,, +唐古特虎耳草,Saxifraga tangutica,PE西藏队,PE5264,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333553.jpg,,,,,,,,,, +宽叶虎耳草,Saxifraga tangutica var. platyphylla,"郎楷永,李良千,费勇",964,19820803,四川省,4300,"西坡,高山草地",,有花无果,https://image.cvh.ac.cn/files/l/PE/00863292.jpg,,,,,,,,,, +宽叶虎耳草,Saxifraga tangutica var. platyphylla,邢睿、刘海瑞、高庆波,chen2014383,20140820,西藏自治区,5120,高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00003610.jpg,,,,,,,,,, +宽叶虎耳草,Saxifraga tangutica var. platyphylla,高云东,黎怀成,郑臣臣,THP-KD-2394,20170713,四川,4500~4700,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254848.jpg,,,,,,,,,, +秃茎虎耳草,Saxifraga tentaculata,魏来,郝加琛,15312,20150727,西藏自治区,5200,流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0030403.jpg,,,,,,,,,, +,Saxifraga umbellulata,杨竞生,90-578,1990-09-,西藏省,3400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0146359.jpg,,,,,,,,,, +小伞虎耳草,Saxifraga umbellulata,"郭永杰, 张桥蓉, 秦少发, 张凤琼",16CS14378,20161110,西藏,2950,水沟边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454241.jpg,,,,,,,,,, +小伞虎耳草,Saxifraga umbellulata,PE西藏队,PE5103,20170825,西藏自治区,3788,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333522.jpg,,,,,,,,,, +白小伞虎耳草,Saxifraga umbellulata var. muricola,青藏科考队,12017,19760627,西藏自治区,4000,"河边,石缝",,有花无果,https://image.cvh.ac.cn/files/l/PE/00863334.jpg,,,,,,,,,, +篦齿虎耳草,Saxifraga umbellulata var. pectinata,,76-764,19760823,西藏自治区,3850,岩石缝隙,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863345.jpg,,,,,,,,,, +篦齿虎耳草,Saxifraga umbellulata var. pectinata,,7381,19740709,四川省,3700,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00860316.jpg,,,,,,,,,, +,Saxifraga umbellulata var. pectinata,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-1147,20080726,西藏,3999,高山草甸,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1301176.jpg,,,,,,,,,, +爪瓣虎耳草,Saxifraga unguiculata,内蒙古大学,贺156,1962/7/3,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0013721.jpg,,,,,,,,,, +爪瓣虎耳草,Saxifraga unguiculata,植物1组,,19820704,山西,,,,有花无果,https://image.cvh.ac.cn/files/l/SXU/00026045.jpg,,,,,,,,,, +,Saxifraga unguiculata,陈世龙,高庆波,张发起,李印虎,付鹏程,邢睿,ChenSL1301,20110727,青海,4390,高寒草甸,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1238259.jpg,,,,,,,,,, +,Saxifraga viscidula,邢睿、刘海瑞、高庆波,chen2014511,20140829,西藏自治区,4200,溪边灌丛、石隙、石坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00008747.jpg,,,,,,,,,, +流苏虎耳草,Saxifraga wallichiana,PE西藏队,PE5276,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333490.jpg,,,,,,,,,, +,Saxifraga wallichiana,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-1558,20080921,西藏,4327,高山灌丛,攀援藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1301178.jpg,,,,,,,,,, +流苏虎耳草,Saxifraga wallichiana,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191415,20190921,云南,3639,亚热带针阔混交林,林中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484578.jpg,,,,,,,,,, +光梗虎耳草,Saxifraga wardii var. glabripedicellata,程树志等 ,101,19820815,西藏自治区,4200,高山岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804433.jpg,,,,,,,,,, +裂稃草,Schizachyrium brevifolium,G.Masamune et al.,s.n.,19271200,台湾省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00621188.jpg,,,,,,,,,, +裂稃草,Schizachyrium brevifolium,刘亮,63,,海南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00621191.jpg,,,,,,,,,, +短夜裂稃草,Schizachyrium brevifolium,,3225,19600916,福建,,山路边杂草丛中,草本,无花无果,https://image.cvh.ac.cn/files/l/FJIDC/FJIDC018236.jpg,,,,,,,,,, +,Schizachyrium delavayi,胡君、王东超、李丽、刘晓芬、李永龙、唐露、思亮、刘方方,SC-a-058-B30,20180728,贵州,2341.7,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262064.jpg,,,,,,,,,, +旱茅,Schizachyrium delavayi,川黔植被调查队,2291,19561030,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00121164.jpg,,,,,,,,,, +旱茅,Schizachyrium delavayi,刘艳春,885,20111107,云南,1175,山坡草丛,草本,,https://image.cvh.ac.cn/files/l/KUN/1404050.jpg,,,,,,,,,, +,Schizachyrium fragile,"E.P.Addicott,Middleton J.D.",EPA606,20000510,,,on the crest of gentle rise soil gravelly sandy loam over Ti geology,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109326.jpg,,,,,,,,,, +红裂稃草,Schizachyrium sanguineum,T.N.Liou,12316,19381024,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00621219.jpg,,,,,,,,,, +红裂稃草,Schizachyrium sanguineum,"杨志斌,姚淦",1490,19641003,江西省,100~300,低山丘陵,,有花有果,https://image.cvh.ac.cn/files/l/PE/00621218.jpg,,,,,,,,,, +红裂稃草,Schizachyrium sanguineum,黄智明梅仕强,,,广东; Guangdong,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00003612.jpg,,,,,,,,,, +,Schizopepon bicirrhosa,,,,,,,,,,,,,,,,,,, +,Schizostachyum arunachalensis,,,,,,,,,,,,,,,,,,, +佛手瓜,Sechium edule,陈少卿,7964,19520905,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0208457.jpg,,,,,,,,,, +佛手瓜,Sechium edule,曾宪锋,ZXF37594,20180603,广东,650,,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0032872.jpg,,,,,,,,,, +佛手瓜,Sechium edule,Y.Sato,4099,19341000,辽宁省,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01179694.jpg,,,,,,,,,, +蝉翼藤,Securidaca inappendiculata,王一,2357,20120630,河南,310,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1902357.jpg,,,,,,,,,, +蝉翼藤,Securidaca inappendiculata,,59-13313,,云南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00410566.jpg,,,,,,,,,, +蝉翼藤,Securidaca inappendiculata,李植芝,118,19630114,云南省,800,路边阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229039.jpg,,,,,,,,,, +东南景天,Sedum alfredii,关克俭,75266,19750714,安徽省,,石上 潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00885433.jpg,,,,,,,,,, +东南景天,Sedum alfredii,谢登峰、成瑞渝,2028202,20190920,四川,5003,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02028202.jpg,,,,,,,,,, +东南景天,Sedum alfredii,阮登,125,1958-06-,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0143349.jpg,,,,,,,,,, +长丝景天,Sedum bergeri,T.T.Yu,10266,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100622.jpg,,,,,,,,,, +,Sedum bergeri,"Ducloux, F.",2265,,,,,,,https://image.cvh.ac.cn/files/l/P/P00706338.jpg,,,,,,,,,, +长丝景天,Sedum bergeri,张桥蓉;孙旭伟;余华,ZhangYH276,20201011,云南,2133,林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1552043.jpg,,,,,,,,,, +轮叶景天,Sedum chauveaudii,刘慎谔,21992,19461021,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00885770.jpg,,,,,,,,,, +轮叶景天,Sedum chauveaudii,C.W. Wang,90433,1941/08/,,3300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0273505.jpg,,,,,,,,,, +轮叶景天,Sedum chauveaudii,张刚民,XYB061,20100720,陕西省,1380,沟谷,,有花有果,https://image.cvh.ac.cn/files/l/BJFC/00081971.jpg,,,,,,,,,, +凹叶景天,Sedum emarginatum,金银根,0480001-5,20060723,江苏,4,山坡;阴湿地,,无花无果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0003891.jpg,,,,,,,,,, +凹叶景天,Sedum emarginatum,胡翠平,89089,19890505,江西省,33,林缘地墈上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100408.jpg,,,,,,,,,, +凹叶景天,Sedum emarginatum,,536,,,,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0123807.jpg,,,,,,,,,, +小景天,Sedum fischeri,PE西藏队,PE5239,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309645.jpg,,,,,,,,,, +小景天,Sedum fischeri,T.N.Ho et al.,1717,19960812,青海省,4430,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01800862.jpg,,,,,,,,,, +,Sedum fischeri,陈家辉,庄会富,刘德团,YangYP-Q-0207,20080908,西藏,4570,草地,河滩,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1237252.jpg,,,,,,,,,, +锡金景天,Sedum gagei,"夏光成,米泰康",416,19600925,西藏自治区,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914149.jpg,,,,,,,,,, +锡金景天,Sedum gagei,刘尚武,414,19650817,青海省,4000,阳坡石岩缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803895.jpg,,,,,,,,,, +,Sedum gagei,陈家辉,王赟,刘德团等,YangYP-Q-3216,20100917,西藏,4902,高山草甸,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237262.jpg,,,,,,,,,, +山岭景天,Sedum henrici-robertii,黄荣福,CG-607,19840829,西藏自治区,4900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/109151.jpg,,,,,,,,,, +山岭景天,Sedum henrici-robertii,H. B. G,843,19930806,青海省,4040,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/172116.jpg,,,,,,,,,, +山飘风,Sedum majus,吴磊、刘文剑、邓创发、宋晓飞,9046,20190927,湖南,850~1000,山坡密林,直立草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI073308.jpg,,,,,,,,,, +山飘风,Sedum majus,刘成,冯明建,秦少发,李永亮,20CS20156,20201110,云南,2234,石灰岩山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1504678.jpg,,,,,,,,,, +山飘风,Sedum majus,西藏生物所植物组,346,19880829,西藏自治区,4800,高山草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0009896.jpg,,,,,,,,,, +,Sedum multicaule,阿国仁,何贵才,NJWLS2008234,20081216,云南,2201,石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1237269.jpg,,,,,,,,,, +多茎景天,Sedum multicaule,,2438,19740807,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803897.jpg,,,,,,,,,, +多茎景天,Sedum multicaule,H.Ohashi et al.,772107,19770808,,175,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01783988.jpg,,,,,,,,,, +皱茎景天,Sedum multicaule subsp. rugosum,青藏队,7705,19820627,西藏自治区,,怒江边,灌丛下岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914565.jpg,,,,,,,,,, +,Sedum obtusipetalum,"Delavay, J.M.",2509,1886-10-15,,,,,,https://image.cvh.ac.cn/files/l/P/P00706449.jpg,,,,,,,,,, +钝瓣景天,Sedum obtusipetalum,青藏队,4344,19810826,四川省,3600,山坡,云杉林下岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914606.jpg,,,,,,,,,, +钝瓣景天,Sedum obtusipetalum,付坤俊,16673,1965/9/26,四川省 ,3650,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0249673.jpg,,,,,,,,,, +山景天,Sedum oreades,PE西藏队,PE5794,20170903,西藏自治区,3401,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309660.jpg,,,,,,,,,, +山景天,Sedum oreades,T.T.Yu,12289,19370719,云南省,3600,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269350.jpg,,,,,,,,,, +山景天,Sedum oreades,李启瑞,52263120190401326LY,20190401,贵州,656,草丛、中生、阳性、中温、钙质土、野生植物,一年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0100478.jpg,,,,,,,,,, +高原景天,Sedum przewalskii,PE西藏队,PE5065,20170825,西藏自治区,3749,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309526.jpg,,,,,,,,,, +高原景天,Sedum przewalskii,K.M. Liou,6679,1936/8/23,,2410,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0049848.jpg,,,,,,,,,, +高原景天,Sedum przewalskii,N.M.Przewalaki,s.n.,18720713,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934860.jpg,,,,,,,,,, +阔叶景天,Sedum roborowskii,若尔盖队,205,19780802,四川,2500,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM706400708.jpg,,,,,,,,,, +阔叶景天,Sedum roborowskii,方文培,3511,19280922,四川省,2833~3000,on stone,,有花无果,https://image.cvh.ac.cn/files/l/PE/00914742.jpg,,,,,,,,,, +阔叶景天,Sedum roborowskii,孙学刚等,20010454,20010820,甘肃省,2600,山坡石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01800997.jpg,,,,,,,,,, +,Sedum shigatsense,,,,,,,,,,,,,,,,,,, +方腺景天,Sedum susanneae,T.P.Wang,7704,19370915,四川省,3100,rocky place or on wall top,,有花无果,https://image.cvh.ac.cn/files/l/PE/00915133.jpg,,,,,,,,,, +大萼方腺景天,Sedum susanneae,青藏队植被组,9914,19760828,西藏自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00915137.jpg,,,,,,,,,, +大萼方腺景天,Sedum susanneae var. macrosepalum,青藏队植被组,9914,19760828,西藏自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00915137.jpg,,,,,,,,,, +小三芒景天,Sedum triactina,彭玉兰、余奇、李林霖,THP-KD-1232,20170615,四川,3091,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253130.jpg,,,,,,,,,, +三芒景天,Sedum triactina,粤73 ,530,19730604,广东省,,山地、山谷、密林、罕见,石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100516.jpg,,,,,,,,,, +三芒景天,Sedum triactina,税玉民,3125,19930727,云南省,2850,山沟密竹林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269184.jpg,,,,,,,,,, +,Sedum trullipetalum,孙航,李新辉,陈林杨等,SunH-07ZX-2903,20100926,四川,4129,高山灌丛,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1237290.jpg,,,,,,,,,, +,Sedum trullipetalum,陆露,Peter W Fritsch,张永彪,张明英,陈小涛,WH-2013-309,20130924,云南,3396,高山流石滩岩石边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321100.jpg,,,,,,,,,, +镘瓣景天,Sedum trullipetalum,PE西藏队,PE6125,20170907,西藏自治区,4474,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309538.jpg,,,,,,,,,, +,Sedum trullipetalum var. ciliatum,"Smith, H.",11651,1934/8/29,,,,,,https://image.cvh.ac.cn/files/l/P/P00706503.jpg,,,,,,,,,, +缘毛景天,Sedum trullipetalum var. ciliatum,刘尚武,414,19650817,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/13722.jpg,,,,,,,,,, +缘毛景天,Sedum trullipetalum var. ciliatum,西藏中草药普查队,1718,19720902,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/31245.jpg,,,,,,,,,, +,Semecarpus anacardium,,28,19621220,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0424080.jpg,,,,,,,,,, +,Senegalia caesia,,,,,,,,,,,,,,,,,,, +,Senegalia catechu,,,,,,,,,,,,,,,,,,, +,Senegalia megaladena,,,,,,,,,,,,,,,,,,, +羽叶金合欢,Senegalia pennata,张代贵,YH090702836,20090702,,,林下,藤本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU45836.jpg,,,,,,,,,, +,Senegalia pruinescens,,,,,,,,,,,,,,,,,,, +藤金合欢,Senegalia rugata,张代贵,Q223151,20140819,,,灌木丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU52400.jpg,,,,,,,,,, +,Senna alata,J.J.Wieringa,6178,20080126,,325,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02013295.jpg,,,,,,,,,, +,Senna occidentalis,"Westphal,E.",9669,19771030,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01942457.jpg,,,,,,,,,, +,Senna tora,ARAKI,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01578061.jpg,,,,,,,,,, +多花决明,Senna × floribunda,李惠茹、王樟华、闫小玲、严靖,RQHD00605,20140829,,32,山脚下绿化带,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0099208.jpg,,,,,,,,,, +,Sesbania bispinosa,Y.Tsiang,12314,19330400,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00214339.jpg,,,,,,,,,, +西南莩草,Setaria forbesiana,巴山采集队,3336,20100726,陕西省,616,沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066330.jpg,,,,,,,,,, +西南莩草,Setaria forbesiana,冒兴汉,365,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00621428.jpg,,,,,,,,,, +西南莩草,Setaria forbesiana,川黔队,940,19560817,贵州省,850,丘陵地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02049087.jpg,,,,,,,,,, +粱,Setaria italica,邢吉庆,11552,1959/8/17,湖北,420,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0129514.jpg,,,,,,,,,, +粱,Setaria italica,S.Y.Hu & K.M.Yung,241,20000715,香港,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01677558.jpg,,,,,,,,,, +粱,Setaria italica,陈介,16,1956.7,河南,,,,有花有果,https://image.cvh.ac.cn/files/l/HENU/0460452.jpg,,,,,,,,,, +棕叶狗尾草,Setaria palmifolia,汪劲武施志诚,0,197708,陕西,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0023939.jpg,,,,,,,,,, +棕叶狗尾草,Setaria palmifolia,Tsang,Wai-taK,16289,19320825,海南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00531479.jpg,,,,,,,,,, +棕叶狗尾草,Setaria palmifolia,Lei C.I.,69,1932-10-,海南; HAINAN,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00013948.jpg,,,,,,,,,, +皱叶狗尾草,Setaria plicata,张代贵,pph1118,20150909,湖南湘西州,,山地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU26440.jpg,,,,,,,,,, +皱叶狗尾草,Setaria plicata,陇西山考察队,1171,19910607,福建省,700~900,山坡 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01549997.jpg,,,,,,,,,, +皱叶狗尾草,Setaria plicata,李盛兰,GanQL1097,20171027,湖北,576,路边草丛中,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445380.jpg,,,,,,,,,, +金色狗尾草,Setaria pumila,"K. Yamaoka, A. Sakamoto, H. Fukuhara et al.",FOK-062250,20031019,高知县,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0115783.jpg,,,,,,,,,, +金色狗尾草,Setaria pumila,"朱鑫鑫,徐坤,王雨鑫,李静玉,党慧杰",ZXX18766,20181030,河南,152,亚热带,河边,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1480346.jpg,,,,,,,,,, +金色狗尾草,Setaria pumila,齐淑艳,RQSB03979,20150731,吉林省,582,路旁绿地,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0132813.jpg,,,,,,,,,, +狗尾草,Setaria viridis,许玉凤,DG-P003-034,20150803,辽宁省丹东市,101~107,棕壤山地,旁边有垃圾场,悬钩子、野花椒、蓼、狗尾草、羊胡子苔草多。,,无花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF000022.jpg,,,,,,,,,, +狗尾草,Setaria viridis,"H.Li,S.X.Yang,R.Li,Y.H.Ji et B.Yang",331,20020815,云南省,2550,山坡次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102152.jpg,,,,,,,,,, +狗尾草,Setaria viridis,宋松泉,HN027,20080930,河南,1088,沟谷,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454400.jpg,,,,,,,,,, +西南宿苞豆,Shuteria vestita,北京队,890774,19890505,,350,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01996853.jpg,,,,,,,,,, +,Sibbaldia aphanopetala,K. A. H. Smith,10625,1934/7/24,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00135464.jpg,,,,,,,,,, +隐瓣山莓草(变种),Sibbaldia aphanopetala,付坤俊,10377,1957/8/11,陕西,3100,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0099713.jpg,,,,,,,,,, +,Sibbaldia aphanopetala,Harry Smith,10625,19340724,四川省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934290.jpg,,,,,,,,,, +楔叶山莓草,Sibbaldia cuneata,D.E.Boufford et al.,29133,19980724,云南省,4250~4600,Alpine meadows and vegetated slopes and scree.Between rocks and Rhododendron,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597851.jpg,,,,,,,,,, +楔叶山莓草,Sibbaldia cuneata,王辰,,2011年6月23-26日,西藏,4100~4500,草甸,,,https://image.cvh.ac.cn/files/l/BNU/004219.jpg,,,,,,,,,, +楔叶山莓草,Sibbaldia cuneata,钱家驹,504,19570731,吉林省,2300,山坡(南) 湿原上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/716751.jpg,,,,,,,,,, +山莓草,Sibbaldia procumbens,青海铁卜加牧草改良站,72-149,19720000,青海省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00948414.jpg,,,,,,,,,, +山莓草,Sibbaldia procumbens,Erwin Evert,24374,19920806,,3500~3733,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01723767.jpg,,,,,,,,,, +山莓草,Sibbaldia procumbens,,?,,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00016831.jpg,,,,,,,,,, +紫花山莓草,Sibbaldia purpurea,青藏队,334,19810602,云南省,3800~3900,禾本科草-杜鹃灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01159792.jpg,,,,,,,,,, +大瓣紫花山莓草,Sibbaldia purpurea,T.T.Yu,9331,19370803,云南省 ,4240,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0343194.jpg,,,,,,,,,, +紫花山莓草,Sibbaldia purpurea,"覃海宁,董仕勇,康云等",349,20010811,西藏自治区,3400,砾石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834748.jpg,,,,,,,,,, +大瓣紫花山莓草,Sibbaldia purpurea var. macropetala,,5452,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948555.jpg,,,,,,,,,, +大瓣紫花山莓草,Sibbaldia purpurea var. macropetala,太白队,58221,19580709,陕西省,3400,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01140521.jpg,,,,,,,,,, +大瓣紫花山莓草,Sibbaldia purpurea var. macropetala,T.T.Yu,9331,19370803,云南省 ,4240,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0343194.jpg,,,,,,,,,, +毛莓草,Sibbaldianthe adpressa,王丽华、孙勋,BNU2021SX007,20210824,山西,1471m,干旱土坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0053818.jpg,,,,,,,,,, +鸡冠茶,Sibbaldianthe bifurca,张磊,刘慧,zlnmu2022303,20220820,宁夏,1667,荒地,草本,有花有果,https://image.cvh.ac.cn/files/l/NMU/NMU01355.jpg,,,,,,,,,, +鸡冠茶,Sibbaldianthe bifurca,刘丹辉、王丽华,BNU2021HB0719002,20210719,河北,1341,,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0053762.jpg,,,,,,,,,, +鸡冠茶,Sibbaldianthe bifurca,王良信、王幼青,790154003,19790602,黑龙江,,,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0003706.jpg,,,,,,,,,, +鲜卑花,Sibiraea laevigata,何叶琪,4862,1959/7/9,甘肃,3000,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0391061.jpg,,,,,,,,,, +,Sibiraea laevigata,宋朝枢、朱德俊,12196,19570617,山西,,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00017024.jpg,,,,,,,,,, +鲜卑花,Sibiraea laevigata,H.H.Chung,4506,19170810,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01683085.jpg,,,,,,,,,, +,Sibirotrisetum bifidum,,,,,,,,,,,,,,,,,,, +,Sibirotrisetum scitulum,,,,,,,,,,,,,,,,,,, +,Sibirotrisetum sibiricum,,,,,,,,,,,,,,,,,,, +,Sinocrassula densirosulata,袁明,MY570,20091111,四川,1845,常绿针叶林,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237295.jpg,,,,,,,,,, +密叶石莲,Sinocrassula densirosulata,张彩飞,1374,20080923,云南省,2100,干热河谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100764.jpg,,,,,,,,,, +,Sinocrassula densirosulata,杜燕,黄天才等,SCSB-A-000323,20061107,云南,2327,山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1237296.jpg,,,,,,,,,, +石莲,Sinocrassula indica,高信芬、余奇、郑臣臣、黎怀诚,THP-KD-0876,20170608,四川,2508,,一年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253138.jpg,,,,,,,,,, +石莲,Sinocrassula indica,Xiaohua Jin & Ting Zhang,248,20080519,云南省,1859,forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100755.jpg,,,,,,,,,, +石莲,Sinocrassula indica,中植联广西队,3070,20080810,广西壮族自治区,1050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100753.jpg,,,,,,,,,, +,Sinocrassula indica var. luteorubra,青藏队,3371,19810806,四川省,2600~2800,山坡石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100670.jpg,,,,,,,,,, +黄花石莲,Sinocrassula indica var. luteorubra,屏边县中药资源普查队,5325230735,20120710,云南省,1800,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0003028.jpg,,,,,,,,,, +,Sinocrassula indica var. luteorubra,"Forrest, George",13377,14-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00386344.jpg,,,,,,,,,, +钝叶石莲,Sinocrassula indica var. obtusifolia,付坤俊,16620,1965/9/19,四川省 ,2450,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0248662.jpg,,,,,,,,,, +钝叶石莲,Sinocrassula indica var. obtusifolia,青藏队,5224,19810831,西藏自治区,2450~2650,山坡 沙岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109803.jpg,,,,,,,,,, +钝叶石莲,Sinocrassula indica var. obtusifolia,北京所横断山队,3065,19810816,云南省,2100~2300,金沙江河谷 山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109805.jpg,,,,,,,,,, +锯叶石莲,Sinocrassula indica var. serrata,付坤俊,16699,1965/10/2,四川省,4200,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0248672.jpg,,,,,,,,,, +锯叶石莲,Sinocrassula indica var. serrata,四川植物  ,3828,1973/8/10,四川省 ,4200,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0297461.jpg,,,,,,,,,, +锯叶石莲,Sinocrassula indica var. serrata,余奇、熊先华、李琳霖,THP-KD-3863,20170806,四川,3747~3899,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251424.jpg,,,,,,,,,, +绿花石莲花,Sinocrassula indica var. viridiflora,"喻勋林,徐永福,黄娟",80180,20080819,湖北省,1100,崖壁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100665.jpg,,,,,,,,,, +,Sinocrassula indica var. viridiflora,李维清,721,19990904,陕西,,石崖上(有沙处),草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00608198.jpg,,,,,,,,,, +绿花石莲,Sinocrassula indica var. viridiflora,郭本兆,4480,1958/10/22,陕西省 ,450,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0395691.jpg,,,,,,,,,, +,Sinocrassula paoshingensis var. spinulosa,,,,,,,,,,,,,,,,,,, +风龙,Sinomenium acutum,李启瑞,52263120190525566LY,20190525,贵州,434,阔叶林、中生、阳性、中温、钙质土、野生植物,藤本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0100315.jpg,,,,,,,,,, +风龙,Sinomenium acutum,Shih-Wen Chung,10192,20110126,台湾省,600~700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01899779.jpg,,,,,,,,,, +风龙,Sinomenium acutum,严岳鸿、李晓晨等,ZX04816,20180513,浙江,613.86,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0156115.jpg,,,,,,,,,, +桃儿七,Sinopodophyllum hexandrum,T. T. Tu,9767,19370823,吉林省,3800,punder woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01034167.jpg,,,,,,,,,, +桃儿七,Sinopodophyllum hexandrum,黄河队,3470,1958/9/1,福建省,,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0084001.jpg,,,,,,,,,, +桃儿七,Sinopodophyllum hexandrum,T. T. Yu,11318,19370517,云南省,3200,mt. grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01034300.jpg,,,,,,,,,, +裂叶罗汉果,Siraitia borneensis,绿春队,540,19740508,云南省,1080,河谷,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00032013.jpg,,,,,,,,,, +无鳞罗汉果,Siraitia borneensis,S.Z.Huang,8740,19831010,广西壮族自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0208473.jpg,,,,,,,,,, +无鳞罗汉果,Siraitia borneensis,梁向日,61331,19311009,广东省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0208470.jpg,,,,,,,,,, +膜叶猴欢喜,Sloanea dasycarpa,梁向日,6343,19331009,海南省,,在疏林半阴处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01366388.jpg,,,,,,,,,, +膜叶猴欢喜,Sloanea dasycarpa,覃灏富,701144,,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0254867.jpg,,,,,,,,,, +膜叶猴欢喜,Sloanea dasycarpa,夏大采集队,1332,19640818,福建省,720,谷中,什木林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0471129.jpg,,,,,,,,,, +猴欢喜,Sloanea sinensis,张代贵,150812020,20150812,湖南永州,417.5,路边阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU24177.jpg,,,,,,,,,, +猴欢喜,Sloanea sinensis,李启瑞,52263120190503453LY,20190503,贵州,720,阔叶林、中生、阳性、中温、钙质土、野生植物,乔木,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0100812.jpg,,,,,,,,,, +猴欢喜,Sloanea sinensis,李洪钧,531,1957/8/7,湖北省,,,乔木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0200922.jpg,,,,,,,,,, +长叶猴欢喜,Sloanea sterculiacea var. assamica,刀志灵,DZL3970,20150811,云南省,2035,林中,,,https://image.cvh.ac.cn/files/l/KUN/1272239.jpg,,,,,,,,,, +毛猴欢喜,Sloanea tomentosa,黄志,36648,19340114,海南,,mixed woods,tree,无花有果,https://image.cvh.ac.cn/files/l/SN/SN008314.jpg,,,,,,,,,, +绒毛猴欢喜,Sloanea tomentosa,董金龙、张文富、沐金海、鲍顺荣,ZhangWF150,20201024,云南,721,热带季节雨林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1556309.jpg,,,,,,,,,, +毛猴欢喜,Sloanea tomentosa,,,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0270459.jpg,,,,,,,,,, +,Smithia ciliata,王启无,67787,19350800,,2300,Open ground,,有花无果,https://image.cvh.ac.cn/files/l/PE/00327822.jpg,,,,,,,,,, +,Smithia grandis,,,,,,,,,,,,,,,,,,, +坡油甘,Smithia sensitiva,"王印政,彭华,邓德山等",4604,19981023,,2200,山地山谷石山,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597913.jpg,,,,,,,,,, +,Sohmaea laxiflora,,,,,,,,,,,,,,,,,,, +茅瓜,Solena delavayi,建水县普查队,5325240652,20190909,云南,1669,林缘,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1524295.jpg,,,,,,,,,, +滇藏茅瓜,Solena delavayi,"张志松,张永田",2790,19600517,贵州省,500,公路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01179932.jpg,,,,,,,,,, +滇藏茅瓜,Solena delavayi,"张永田,郞楷永",3137,19660503,西藏自治区,2300,山坡林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01179933.jpg,,,,,,,,,, +茅瓜,Solena heterophylla,邓朝义,DengCY062,20131007,贵州,1151,石山灌丛中,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1554515.jpg,,,,,,,,,, +茅瓜,Solena heterophylla,张代贵,张代富,817008,20190817,四川,916,路边,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1515471.jpg,,,,,,,,,, +,Solena heterophylla,叶国栋,330,19770331,福建省,50,山坡灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010455.jpg,,,,,,,,,, +,Solena heterophylla subsp. napaulensis,,546,19750709,西藏自治区,2600,高山?火烧?地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010443.jpg,,,,,,,,,, +,Solena heterophylla subsp. napaulensis,中国科学院自然资源综合考察组资源室,692,19750717,广西壮族自治区,2200,亚热带常绿阔叶林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010444.jpg,,,,,,,,,, +西藏茅瓜,Solena heterophylla subsp. napaulensis,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201009,20200719,西藏,2212,路边荒地,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507255.jpg,,,,,,,,,, +,Sonerila arunachalensis,,,,,,,,,,,,,,,,,,, +,Sonerila khasiana,,,,,,,,,,,,,,,,,,, +,Sonerila maculata,杨祥学等,651081,19650625,江西省,710,路边红壤,,无花无果,https://image.cvh.ac.cn/files/l/PE/00910251.jpg,,,,,,,,,, +,Sonerila maculata,"李永康,黄德富",8481,19801026,贵州省,380~500,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00910259.jpg,,,,,,,,,, +,Sonerila maculata,徐洪贵,3097,19950525,四川省,1100,林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00910255.jpg,,,,,,,,,, +尾叶槐,Sophora benthamii,"李渤生,程树志",2801,19830208,,840,江边Ficus林中常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074717.jpg,,,,,,,,,, +白刺槐,Sophora davidii,PE西藏考察队,7059,20180609,,3819,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333734.jpg,,,,,,,,,, +,Sophora davidii var. chuansiensis,"张书东,林娜那,郁文彬,何俊,张舒,艾洪莲",SCSB-W-020,20060810,,2010,山坡灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1324610.jpg,,,,,,,,,, +砂生槐,Sophora moorcroftiana,PE西藏队,PE5020,20170824,,3522,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330018.jpg,,,,,,,,,, +,Sophora moorcroftiana f. albiflora,,,,,,,,,,,,,,,,,,, +高丛珍珠梅,Sorbaria arborea,王作宾,17047,19530731,宁夏回族自治区,2310,生山沟特别多,,有花无果,https://image.cvh.ac.cn/files/l/PE/00948832.jpg,,,,,,,,,, +高丛珍珠梅,Sorbaria arborea,威宁队,5.22E+15,20121023,贵州,,山腰,灌木,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0002139.jpg,,,,,,,,,, +高丛珍珠梅,Sorbaria arborea,,2282,19160723,山西省,,,,无花有果,https://image.cvh.ac.cn/files/l/TIE/00055500.jpg,,,,,,,,,, +高丛珍珠梅毛叶变种,Sorbaria arborea var. subtomentosa,美普队,,19790703,四川,2650,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM707006497.jpg,,,,,,,,,, +毛叶高丛珍珠梅,Sorbaria arborea var. subtomentosa,巴山采集队,1549,20080719,陕西省,2180,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01851124.jpg,,,,,,,,,, +毛叶高丛珍珠梅,Sorbaria arborea var. subtomentosa,,s.n.,,新疆维吾尔自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00949038.jpg,,,,,,,,,, +华北珍珠梅,Sorbaria kirilowii,,1331,19190704,宁夏回族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00013748.jpg,,,,,,,,,, +华北珍珠梅,Sorbaria kirilowii,伊廷双,张书东,80212,20080716,湖北省,1341,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1221545.jpg,,,,,,,,,, +华北珍珠梅,Sorbaria kirilowii,J.C.Liu,L462,,湖北,,,,,https://image.cvh.ac.cn/files/l/BNU/008245.jpg,,,,,,,,,, +,Sorbus alnifolia,青海林业局,3,19540000,青海,1250,,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00017186.jpg,,,,,,,,,, +水榆花楸,Sorbus alnifolia,,s.n.,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00949566.jpg,,,,,,,,,, +水榆花楸,Sorbus alnifolia,张代贵、王业清、朱晓琴,2677,20170821,湖北宜昌,2013,路边,6010-6116,无花有果,https://image.cvh.ac.cn/files/l/JIU/HHE11891.jpg,,,,,,,,,, +冠萼花楸,Sorbus coronata,生物研究所西藏考察队,852,19730708,西藏自治区,2300,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/37964.jpg,,,,,,,,,, +冠萼花楸,Sorbus coronata,青藏队,6783,19820523,云南省,2900~3100,山沟 杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01159848.jpg,,,,,,,,,, +花楸属,Sorbus coronata,倪志诚 汪永泽 次多 次旦,689,19800722,西藏,3600,针阔混交林中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0002986.jpg,,,,,,,,,, +,Sorbus coronata var. glabrescens,陈伟烈,15125,19800923,西藏自治区,2600,铁杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01494447.jpg,,,,,,,,,, +花楸属,Sorbus coronata var. glabrescens,倪志诚 汪永泽 次多 次旦,689,19800722,西藏,3600,针阔混交林中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0002986.jpg,,,,,,,,,, +,Sorbus doshonglaensis,,,,,,,,,,,,,,,,,,, +纤细花楸,Sorbus filipes,张经炜,1405,19730902,西藏,3300,西北坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810445.jpg,,,,,,,,,, +纤细花楸,Sorbus filipes,C.W.Wang,66681,,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00370715.jpg,,,,,,,,,, +纤细花楸,Sorbus filipes,George Forrest,23539,19230000,云南省,3367~4000,On divide,,无花无果,https://image.cvh.ac.cn/files/l/PE/01640216.jpg,,,,,,,,,, +,Sorbus foliolosa,Delavay,,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00074516.jpg,,,,,,,,,, +尼泊尔花楸,Sorbus foliolosa,陈彬、朱鑫鑫、沈彬、宋以刚,CSH07470,20140807,四川省,3940,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0037739.jpg,,,,,,,,,, +,Sorbus foliolosa,T.T.Yu,s.n.,19480000,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01683956.jpg,,,,,,,,,, +,Sorbus gongshanensis,,,,,,,,,,,,,,,,,,, +云南花楸,Sorbus griffithii,刘成,李欣,赵金超,杨红强,19CS18167,20190831,云南,1761,常绿阔叶林林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1506484.jpg,,,,,,,,,, +,Sorbus heseltinei,"Rushforth, K.D.",3770,1-Nov-95,,,,,,https://image.cvh.ac.cn/files/l/E/E00328761.jpg,,,,,,,,,, +卷边花楸,Sorbus insignis,唐宇丹等,PX023,20061009,西藏自治区,3688,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02061925.jpg,,,,,,,,,, +卷边花楸,Sorbus insignis,孙必兴等,845,19730626,云南省,2400,山坡次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612388.jpg,,,,,,,,,, +卷边花楸,Sorbus insignis,C.Pei,7248,,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00370972.jpg,,,,,,,,,, +毛序花楸,Sorbus keissleri,C.W.Yao,2758,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00962679.jpg,,,,,,,,,, +毛序花楸,Sorbus keissleri,赵万义、潭维政、冯欣欣、刘忠成、张记军、叶矾、张忠,LXP-13-09368,20151102,江西省吉安市,,山坡、壤土、疏林,陆生、乔木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00181053.jpg,,,,,,,,,, +毛序花楸,Sorbus keissleri,鄂植考队,14042,19770916,湖北省,1500,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01499030.jpg,,,,,,,,,, +,Sorbus kongboensis,,,,,,,,,,,,,,,,,,, +,Sorbus macallisteri,,,,,,,,,,,,,,,,,,, +,Sorbus macrantha,李永亮等三人,YDDXS1145,20131201,云南省,2470,南亚热带常绿林边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1317618.jpg,,,,,,,,,, +,Sorbus megacarpa,,,,,,,,,,,,,,,,,,, +,Sorbus microphylla,"F.Ludlow,G.Sherriff",3401,19370708,,4167~4667,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01683272.jpg,,,,,,,,,, +,Sorbus microphylla,唐宇丹等,YD055(2006-2529),20061001,西藏自治区,3515,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02093652.jpg,,,,,,,,,, +花楸属,Sorbus microphylla,倪志诚 汪永泽 次多 次旦,1464,19800906,西藏,3600,冷杉林缘,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0003018.jpg,,,,,,,,,, +褐毛花楸,Sorbus ochracea,"程树志,倪志诚,李渤生",4839,19830510,西藏自治区,1650,常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01515810.jpg,,,,,,,,,, +褐毛花楸,Sorbus ochracea,张挺,郭永杰,吴之坤,姜虹,李贵能,16CS12590,20160814,四川,2651,石灰岩山坡,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1435896.jpg,,,,,,,,,, +褐毛花楸,Sorbus ochracea,,,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00074442.jpg,,,,,,,,,, +,Sorbus parvifructa,,,,,,,,,,,,,,,,,,, +西康花楸,Sorbus prattii,H.T. Tsai,57806,Jul-34,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00074469.jpg,,,,,,,,,, +西康花楸,Sorbus prattii,"四川队,关克俭等",2289,19641004,重庆市,2000,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01640145.jpg,,,,,,,,,, +西康花楸,Sorbus prattii,,321,19640710,青海省,3800,山地 阴坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01490334.jpg,,,,,,,,,, +多对西康花楸,Sorbus prattii var. aestivalis,白洪兵、李红,533324180921968LY,20180921,云南,3770,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009074.jpg,,,,,,,,,, +多对西康花楸,Sorbus prattii var. aestivalis,戴天伦,107270,19580920,重庆市,2500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00963670.jpg,,,,,,,,,, +多对西康花楸,Sorbus prattii var. aestivalis,毛品一,1135,19520605,云南省,3200,斜坡疏林中润湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/00963677.jpg,,,,,,,,,, +蕨叶花楸,Sorbus pteridophylla,G. Forrest,16682,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00074471.jpg,,,,,,,,,, +蕨叶花楸,Sorbus pteridophylla,Joseph F. Rock,23186,May-32,"西藏; Southeast Tibet,","13,0",,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00074472.jpg,,,,,,,,,, +蕨叶花楸,Sorbus pteridophylla,雅安隊,535,19780614,四川,2000,山林,,無花有果,https://image.cvh.ac.cn/files/l/SM/SM707008584.jpg,,,,,,,,,, +西南花楸,Sorbus rehderiana,"罗建, 汪书丽",LiuJQ-08XZ-103,20080726,西藏,,路边林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1317737.jpg,,,,,,,,,, +西南花楸,Sorbus rehderiana,T.T.Yu,s.n.,19480000,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01683292.jpg,,,,,,,,,, +西南花楸,Sorbus rehderiana,钟补求,8450,19580710,青海省,,云杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00963762.jpg,,,,,,,,,, +锈毛西南花楸,Sorbus rehderiana var. cupreonitens,"韩裕丰,邓坤梅,陈永瑞",81-1635,19810810,云南省,3850,秃高山灌丛草甸流石滩处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01640679.jpg,,,,,,,,,, +,Sorbus rehderiana var. cupreonitens,余奇、代文台,LM-ML-02,20190809,四川,3916.79,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0245894.jpg,,,,,,,,,, +锈毛西南花楸,Sorbus rehderiana var. cupreonitens,,Q17,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00963920.jpg,,,,,,,,,, +巨齿西南花楸,Sorbus rehderiana var. grosseserrata,北京所横断山队,2814,19810810,云南省,3700~3900,冷杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01172075.jpg,,,,,,,,,, +巨齿西南花楸,Sorbus rehderiana var. grosseserrata,Wilson,1035,,四川; SZECHWAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00074478.jpg,,,,,,,,,, +西南花楸巨齿变种,Sorbus rehderiana var. grosseserrata,高信芬、黎怀诚,THP-KD-0399,20170602,四川,3932,,乔木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242583.jpg,,,,,,,,,, +红毛花楸,Sorbus rufopilosa,陈善墉,何铸,钟明芳,,19580726,四川,3200,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM707006709.jpg,,,,,,,,,, +红毛花楸,Sorbus rufopilosa,朱大海,3744,20070524,四川省,2550,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01840790.jpg,,,,,,,,,, +,Sorbus rufopilosa,宋朝枢、朱德俊,12480,19570709,山西,,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00017212.jpg,,,,,,,,,, +,Sorbus rushforthii,,,,,,,,,,,,,,,,,,, +康藏花楸,Sorbus thibetica,H.T.Tsai,58454,19340909,云南省 ,3200,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0344209.jpg,,,,,,,,,, +,Sorbus thibetica,吕元林,N009A,20071004,四川省,3080,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1317803.jpg,,,,,,,,,, +,Sorbus thibetica,王乾、顾健,SCW1508,20200622,四川,3391,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274540.jpg,,,,,,,,,, +滇缅花楸,Sorbus thomsonii,"郭永杰, 张桥蓉, 秦少发, 张凤琼",16CS14495,20161118,西藏,2603,公路边林下灌丛,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1448863.jpg,,,,,,,,,, +滇缅花楸,Sorbus thomsonii,荔波队,2367,19821011,贵州省,1620,,乔木,无花有果,https://image.cvh.ac.cn/files/l/HGAS/019247.jpg,,,,,,,,,, +,Sorbus thomsonii,杜阳平、秦鹏、王飞、于琴,PW0528,20190808,四川,1340,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0286148.jpg,,,,,,,,,, +,Sorbus vestita,,,,,,,,,,,,,,,,,,, +华西花楸,Sorbus wilsoniana,程万,185,19750912,江西省,1040,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00978613.jpg,,,,,,,,,, +华西花楸,Sorbus wilsoniana,香兰组,,19760723,四川,1300,半山杂木林中,小灌木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM707006776.jpg,,,,,,,,,, +华西花楸,Sorbus wilsoniana,刘正宇,2022224,20020427,云南,1500,杂林中,乔木,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0066478.jpg,,,,,,,,,, +,Sorghum bicolor,邢吉庆,16675,19590824,湖北省,585,山沟,,有花有果,https://image.cvh.ac.cn/files/l/PE/00639013.jpg,,,,,,,,,, +高粱,Sorghum bicolor,方文哲,84040,19840806,山西省,,栽培,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00532268.jpg,,,,,,,,,, +高粱,Sorghum bicolor,"郭永杰, 王雨华, 杨立新, 李姗",18CS16814,20180507,西藏,779,路边林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486824.jpg,,,,,,,,,, +,Spenceria ramalana var. parviflora,"徐波,陈光富,陈林杨,董金龙等",SunH-07ZX-0901,20080726,西藏自治区,4495,高山灌丛草甸至流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1317848.jpg,,,,,,,,,, +高山绣线菊,Spiraea alpina,"H.Kanai,H.Ohashi",720258,19720607,九州,2900~2600,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/379488.jpg,,,,,,,,,, +高山绣线菊,Spiraea alpina,陈晓澄等,Chenxc-216,20170901,西藏,3738,灌木、草地混合,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018102.jpg,,,,,,,,,, +,Spiraea alpina,,,19520000,湖北,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00017614.jpg,,,,,,,,,, +拱枝绣线菊,Spiraea arcuata,张志英,17156,19630930,甘肃省,1750,乔灌林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01452643.jpg,,,,,,,,,, +拱枝绣线菊,Spiraea arcuata,G.Forrest,27276,19251000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01683367.jpg,,,,,,,,,, +拱枝绣线菊,Spiraea arcuata,张林、李星月、张晓严,1-439,20180621,西藏,3954,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023720.jpg,,,,,,,,,, +藏南绣线菊,Spiraea bella,,3187,530,重庆市,2300,竹林附近笋子厂,,有花有果,https://image.cvh.ac.cn/files/l/PE/01452660.jpg,,,,,,,,,, +藏南绣线菊,Spiraea bella,樊映汉,148,19590600,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811791.jpg,,,,,,,,,, +藏南绣线菊,Spiraea bella,樊映汉,148,19590600,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811791.jpg,,,,,,,,,, +毛果藏南绣线菊,Spiraea bella var. pubicarpa,李渤生等,14258,19901013,西藏自治区,3300,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01804991.jpg,,,,,,,,,, +毛果藏南绣线菊,Spiraea bella var. pubicarpa,,23977,19591008,云南省,2800,沟边阔叶林缘石岩上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01452667.jpg,,,,,,,,,, +,Spiraea canescens,胡君、李丽、罗垚、蒋洪,SC-a-183-B18,20190927,甘肃,1511,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261735.jpg,,,,,,,,,, +麻叶绣线菊,Spiraea canescens,09级科二1组,09K21105,20100715,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/TYNUB/TYNUB0003214.jpg,,,,,,,,,, +楔叶绣线菊,Spiraea canescens,姜恕等,10054,19600615,云南省,3400,山坡阳处 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00372774.jpg,,,,,,,,,, +粉叶楔叶绣线菊,Spiraea canescens var. glaucophylla,J.F.Rock,12454,19250600,甘肃省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00371962.jpg,,,,,,,,,, +粉叶楔叶绣线菊,Spiraea canescens var. glaucophylla,H.Green,3551,19370400,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0360167.jpg,,,,,,,,,, +粉叶楔叶绣线菊,Spiraea canescens var. glaucophylla,Forrest,4433,,陕西; SHENSI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00073415.jpg,,,,,,,,,, +,Spiraea cantoniensis,杨永兰,98211,19980404,重庆 ,,,,有花无果,https://image.cvh.ac.cn/files/l/JJF/00002152.jpg,,,,,,,,,, +,Spiraea cantoniensis,张治明,21,19630625,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839267.jpg,,,,,,,,,, +麻叶绣线菊,Spiraea cantoniensis,周太炎,1579,1949/3/26,上海,,,shrub,有花无果,https://image.cvh.ac.cn/files/l/WUK/0111026.jpg,,,,,,,,,, +,Spiraea expansa,,,,,,,,,,,,,,,,,,, +粉花绣线菊,Spiraea japonica,"田景全,董保华",10076,19650924,辽宁省,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/01829332.jpg,,,,,,,,,, +绣线菊,Spiraea japonica,曲桂龄,1452,19350610,重庆,1000,in shrub,shrub,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0008730.jpg,,,,,,,,,, +粉花绣线菊,Spiraea japonica,樊映汉,179,19590904,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811806.jpg,,,,,,,,,, +,Spiraea japonica var. acuminata,李盛兰,GanQL838,20151103,湖北,1355,山坡灌木丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1453064.jpg,,,,,,,,,, +,Spiraea japonica var. acuminata,李小杰,LiXJ705,20141019,四川,,路边林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395191.jpg,,,,,,,,,, +尖叶粉花绣线菊,Spiraea japonica var. acuminata,闵运江,WX056,20090328,安徽,1116,"山地高,西南谷底,缓坡",灌木,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0069671.jpg,,,,,,,,,, +椭圆叶粉花绣线菊,Spiraea japonica var. ovalifolia,青藏队,4141,19740804,西藏自治区,2080,山坡阔叶林缘灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/740298.jpg,,,,,,,,,, +椭圆叶粉花绣线菊,Spiraea japonica var. ovalifolia,"席建明,万成志",81207,20080716,湖南省,400~800,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01863567.jpg,,,,,,,,,, +椭圆叶粉花绣线菊,Spiraea japonica var. ovalifolia,山东队,25,19560930,山东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826958.jpg,,,,,,,,,, +羽叶粉花绣线菊,Spiraea japonica var. pinnatifida,于胜祥等,5866,20110823,西藏自治区,,沿途路旁山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01863201.jpg,,,,,,,,,, +细叶华西绣线菊,Spiraea laeta var. tenuis,黄治平等,1131,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00374699.jpg,,,,,,,,,, +细叶华西绣线菊,Spiraea laeta var. tenuis,任,254,19780000,西藏,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00026126.jpg,,,,,,,,,, +,Spiraea laeta var. tenuis,E. H. Wilson,2772,1908/6/24,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00046135.jpg,,,,,,,,,, +,Spiraea lasiocarpa,M.Popov,s.n.,19331213,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01453591.jpg,,,,,,,,,, +长毛华北绣线菊,Spiraea lasiocarpa,北师大队,LS022,20150727,辽宁省,2474,干旱山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0026732.jpg,,,,,,,,,, +长毛华北绣线菊,Spiraea lasiocarpa,杨荣,YR20150715-3,20150715,内蒙古自治区,2082,林下,,有花有果,https://image.cvh.ac.cn/files/l/BNU/0026967.jpg,,,,,,,,,, +长芽绣线菊,Spiraea longigemmis,巴山采集队,1864,20080719,陕西省,2300,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01851304.jpg,,,,,,,,,, +长芽绣线菊,Spiraea longigemmis,青藏队,10476,19820918,西藏自治区,3500,山坡 云杉林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01172218.jpg,,,,,,,,,, +长芽绣线菊,Spiraea longigemmis,G.Forrest,23557,19230000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0360772.jpg,,,,,,,,,, +,Spiraea micrantha,Snoshiro et al.,9240533,19920605,,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01453667.jpg,,,,,,,,,, +毛叶绣线菊,Spiraea mollifolia,PE西藏考察队,7715,20180623,西藏自治区,4175,流石滩,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332819.jpg,,,,,,,,,, +毛叶绣线菊,Spiraea mollifolia,J.G.Jack,s.n.,19240618,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01683499.jpg,,,,,,,,,, +毛叶绣线菊,Spiraea mollifolia,黄升,DS4226,20141120,湖北省,446,,灌木,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH009523.jpg,,,,,,,,,, +,Spiraea mollifolia var. denudata,,,,,,,,,,,,,,,,,,, +细枝绣线菊,Spiraea myrtilloides,付坤俊,10073,1957/8/5,陕西省 ,2570,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0172458.jpg,,,,,,,,,, +细枝绣线菊,Spiraea myrtilloides,陈晓澄、肖洒等,14230,20190611,青海,3140,杜鹃花灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023117.jpg,,,,,,,,,, +细枝绣线菊,Spiraea myrtilloides,,,19560800,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00372702.jpg,,,,,,,,,, +广椭绣线菊,Spiraea ovalis,T.N. Liou ,10731,1939/6/10,陕西省 ,,,shrub,有花无果,https://image.cvh.ac.cn/files/l/WUK/0030405.jpg,,,,,,,,,, +广椭绣线菊,Spiraea ovalis,三峡考察队,3143,20090901,重庆市,1440~1538,河谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/01857615.jpg,,,,,,,,,, +广椭绣线菊,Spiraea ovalis,许东先,张芬,313,20160811,云南省,2100,山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/BNU/0030007.jpg,,,,,,,,,, +川滇绣线菊,Spiraea schneideriana,,11833,19610523,北京,,,,,https://image.cvh.ac.cn/files/l/BNU/007734.jpg,,,,,,,,,, +川滇绣线菊,Spiraea schneideriana,赵佐成,88-1622,19880814,重庆市,980,阳处 路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01561264.jpg,,,,,,,,,, +川滇绣线菊,Spiraea schneideriana,PE西藏队,PE6517,20170912,西藏自治区,3588,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02309749.jpg,,,,,,,,,, +,Spiraea schneideriana var. amphidoxa,,179,19550000,云南,2600,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00017454.jpg,,,,,,,,,, +无毛川滇绣线菊,Spiraea schneideriana var. amphidoxa,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00703081.jpg,,,,,,,,,, +无毛川滇绣线菊,Spiraea schneideriana var. amphidoxa,青藏队,2603,19810711,云南省,3700,山坡 云杉林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01172362.jpg,,,,,,,,,, +,Spiraea subdioica,,,,,,,,,,,,,,,,,,, +,Spiraea thibetica,张经炜,2624,19610711,西藏自治区,4300,拉布曲西岸二级阶地及山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00703517.jpg,,,,,,,,,, +,Spiraea vacciniifolia,,,,,,,,,,,,,,,,,,, +脱毛绣线菊,Spiraea velutina var. glabrescens,青藏队,9870,19820903,云南省,1900~2100,山坡 路边灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01172397.jpg,,,,,,,,,, +脱毛绣线菊,Spiraea velutina var. glabrescens,,75-1760,19750911,西藏自治区,3300,杂灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00703657.jpg,,,,,,,,,, +西藏绣线菊,Spiraea xizangensis,鞠文彬,杨焰,THP-KD-5209,20170804,四川,4040,草地灌丛,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242152.jpg,,,,,,,,,, +,Spodiopogon dubius,姜恕,370,19671104,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01432405.jpg,,,,,,,,,, +,Spodiopogon dubius,J.F.Duthie,23080,,,,,,有花有果,https://image.cvh.ac.cn/files/l/AU/033176.jpg,,,,,,,,,, +台南大油芒,Spodiopogon tainanensis,廉永善等,96238,19960804,陕西省,700,石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854092.jpg,,,,,,,,,, +台南大油芒,Spodiopogon tainanensis,梁慧舟,1560,19991106,台湾省,1000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855638.jpg,,,,,,,,,, +台南大油芒,Spodiopogon tainanensis,青藏队,4269,19810825,四川省,,路边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854117.jpg,,,,,,,,,, +槟榔青,Spondias pinnata,王启无,74580,19360600,云南省,1030,Thickets,,无花无果,https://image.cvh.ac.cn/files/l/PE/01183663.jpg,,,,,,,,,, +槟榔青,Spondias pinnata,汪韬,200,20200604,福建,6,,乔木,有花有果,https://image.cvh.ac.cn/files/l/AU/AU080500.jpg,,,,,,,,,, +槟榔青,Spondias pinnata,梁向日,62940,19330907,海南岛,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00155370.jpg,,,,,,,,,, +双蕊鼠尾粟,Sporobolus diandrus,资源县普查队,450329150725065LY,20150725,广西壮族自治区,750,草丛,路旁,多见野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00408687.jpg,,,,,,,,,, +双蕊鼠尾粟,Sporobolus diandrus,,2,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/077895.jpg,,,,,,,,,, +,Sporobolus diandrus,刘艳春,徐瑾,56,20070710,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1221289.jpg,,,,,,,,,, +鼠尾粟,Sporobolus fertilis,侯学良、薛文鹏,10011,20140422,福建,,,草本,有花有果,https://image.cvh.ac.cn/files/l/AU/AU073891.jpg,,,,,,,,,, +鼠尾粟,Sporobolus fertilis,杨永等,421,20100913,四川省,2075,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01904444.jpg,,,,,,,,,, +鼠尾粟,Sporobolus fertilis,田先华,王梅荣,吴明华,TianXH527,20121028,陕西,502,山坡路旁草丛中,草本,,https://image.cvh.ac.cn/files/l/KUN/1404495.jpg,,,,,,,,,, +中国旌节花,Stachyurus chinensis,廖文波、赵万义、杨文晟、吴保欢,LXP13-5742,20140416,江西省井冈山市,,山谷、腐殖土、疏林、河边、常见种,乔木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00175880.jpg,,,,,,,,,, +,Stachyurus chinensis,标本馆同仁,1680,20171023,安徽,,山路边灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00602703.jpg,,,,,,,,,, +中国旌节花,Stachyurus chinensis,李思锋,黎斌,张莹等,10736,2008/6/25,陕西,1577,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/522367.jpg,,,,,,,,,, +西域旌节花,Stachyurus himalaicus,,456,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0327007.jpg,,,,,,,,,, +西域旌节花,Stachyurus himalaicus,赵万义、谭维政、叶矾、刘忠成、张记军、张忠、冯欣欣,LXP-13-09552,20151105,江西省萍乡市,,山坡、壤土、疏林、溪边,陆生、灌木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00177736.jpg,,,,,,,,,, +西域旌节花,Stachyurus himalaicus,张代贵,6064,20110523,湖北神农架林区,,灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU28589.jpg,,,,,,,,,, +,Stapletonia arunachalensis,,,,,,,,,,,,,,,,,,, +,Stapletonia rigoensis,,,,,,,,,,,,,,,,,,, +,Stapletonia seshagiriana,,,,,,,,,,,,,,,,,,, +,Stauntonia libera,,9514,19820823,云南省,1600,山坡,路边,次生林中,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0430574.jpg,,,,,,,,,, +金线吊乌龟,Stephania cephalantha,T.S.Wang,454,19320522,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/007561.jpg,,,,,,,,,, +金线吊乌龟,Stephania cephalantha,刘正宇,27-Jan,19820623,四川,1650,山地杂木林下,藤本,无花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0069966.jpg,,,,,,,,,, +金线吊乌龟,Stephania cephalantha,"郭永杰, 李涟漪, 方云花, 张凤琼",18CS17026,20180612,浙江,25,海边灌草丛,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484820.jpg,,,,,,,,,, +一文钱,Stephania delavayi,西藏中草药普查队,419,19720606,西藏自治区,2350,东坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658161.jpg,,,,,,,,,, +一文钱,Stephania delavayi,H. H. Hu,2490,19340800,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01036187.jpg,,,,,,,,,, +一文钱,Stephania delavayi,W. Y. Hsia,277,19270813,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01036186.jpg,,,,,,,,,, +,Stephania elegans,怒江考察队,379,19780602,云南省 ,1300,山坡,灌木丛中,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0432104.jpg,,,,,,,,,, +,Stephania elegans,,24405,19240600,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01036131.jpg,,,,,,,,,, +雅丽千金藤,Stephania elegans,农东新,黄俞淞,451421150428003LY,20150428,广西,136,灌丛,林缘,石灰土,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0185713.jpg,,,,,,,,,, +西藏地不容,Stephania glabra,J. F. Maxwell,76-316,19760508,,500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01036142.jpg,,,,,,,,,, +西藏地不容,Stephania glabra,青藏队植被组,4574,19750715,西藏自治区,1850~2000,河谷灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/00049305.jpg,,,,,,,,,, +,Stephania glandulifera,刘成,蔡杰,张挺,刘恩德,张书东,13CS6411,20130527,西藏,833,林缘路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1320881.jpg,,,,,,,,,, +,Stephania glandulifera,青藏队,6868,19750715,西藏自治区,2000,河谷,杂木林中,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0432139.jpg,,,,,,,,,, +纤细千金藤,Stephania gracilenta,"李渤生,李辉",14005,19901007,西藏自治区,2800,常绿阔叶林下常见种,,无花有果,https://image.cvh.ac.cn/files/l/PE/01036368.jpg,,,,,,,,,, +纤细千金藤,Stephania gracilenta,青藏队植被组,4376,19750627,,1700~2000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00049304.jpg,,,,,,,,,, +纤细千金藤,Stephania gracilenta,"郭永杰, 张桥蓉, 秦少发, 张凤琼",16CS14542,20161122,西藏,1635,公路边,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1459244.jpg,,,,,,,,,, +千金藤,Stephania japonica,植物资源考察队,D0379,19840617,河南省,,山坡 路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859111.jpg,,,,,,,,,, +千斤藤,Stephania japonica,廖文波等,LXSM-7-00065,20130518,江西省吉安市,,, ,,https://image.cvh.ac.cn/files/l/SYS/SYS00176534.jpg,,,,,,,,,, +千金藤,Stephania japonica,"朱鑫鑫, 王金丹, 林庶, 刘晴, 梁俊生",ZXX18401,20180923,河南,86,亚热带常绿阔叶林路边,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1450336.jpg,,,,,,,,,, +桐叶千金藤,Stephania japonica var. discolor,黄雪彦、彭玉德、李林轩、胡雪阳,451223130826027LY,20130826,广西,905,灌丛,林缘,石灰土,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0109424.jpg,,,,,,,,,, +桐叶千斤藤,Stephania japonica var. discolor,"殷建涛,施学强",1243,20091125,云南,1200,公路边,藤本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029906.jpg,,,,,,,,,, +,Stephania japonica var. discolor,W.Nanakorn etc.,1526,19940907,,250,in deciduous forest,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1225416.jpg,,,,,,,,,, +光千金藤,Stephania japonica var. timoriensis,凌云普查队,4.51E+14,20130720,广西壮族自治区,1176,阔叶林,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI063093.jpg,,,,,,,,,, +,Stephania japonica var. timoriensis,"K.R.McDonald,Dennis,A.J.",KRM12069,20120112,,,Notophyll vine forest on granite,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892650.jpg,,,,,,,,,, +光千金藤,Stephania japonica var. timoriensis,黄雪彦、彭玉德、李林轩、胡雪阳,451223130827018LY,20130827,广西,771,阔叶林,路边,黄棕壤,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0109426.jpg,,,,,,,,,, +西南千金藤,Stephania subpeltata,,651,19790702,四川,1300,林,藤本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM704900537.jpg,,,,,,,,,, +西南千金藤,Stephania subpeltata,"党成忠,党平",320,19860707,贵州省,1400,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01658126.jpg,,,,,,,,,, +西南千金藤,Stephania subpeltata,税玉民等,64783,20060821,云南省,1880~2030,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658101.jpg,,,,,,,,,, +狼针草,Stipa baicalensis,K.T.Fu,3300,19390817,陕西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/68169.jpg,,,,,,,,,, +狼针草,Stipa baicalensis,黄迎新,1358,20150723,吉林省松原市,141,草甸/沼泽化地草甸/草甸土,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0231092.jpg,,,,,,,,,, +狼针草,Stipa baicalensis,"杨帆, 马红媛, 安丰华",SNA0152,20160715,吉林,136,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1451034.jpg,,,,,,,,,, +八宿针茅,Stipa baxoiensis,张谢勇,李文贺,440,20210906,西藏自治区,4403,石质山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02372836.jpg,,,,,,,,,, +,Stipa bhutanica,,,,,,,,,,,,,,,,,,, +短花针茅,Stipa breviflora,"李安仁,朱家柟",5747,19580619,新疆维吾尔自治区,1700,河谷阶地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233271.jpg,,,,,,,,,, +短花针茅,Stipa breviflora,青藏队植被组,2225,19740804,西藏自治区,4150,碎石质山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02077151.jpg,,,,,,,,,, +短花针茅,Stipa breviflora,杨金祥,3298,1965/6/13,山西,1400,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0411970.jpg,,,,,,,,,, +长芒草,Stipa bungeana,郭成勇,段功,陈玉峰,郝加琛,13010180,20130430,山东,215.9,村边山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0040097.jpg,,,,,,,,,, +长芒草,Stipa bungeana,T.N.Liou,9186,19360724,江苏省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00706486.jpg,,,,,,,,,, +,Stipa bungeana,吴中伦,31841,19580613,四川,1300,河漫滩,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00041709.jpg,,,,,,,,,, +丝颖针茅,Stipa capillacea,崔友文,937,19490918,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00123832.jpg,,,,,,,,,, +丝颖针茅,Stipa capillacea,T.Tang,1456,,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0108115.jpg,,,,,,,,,, +丝颖针茅,Stipa capillacea,陈家辉,王赟,刘德团等,YangYP-Q-3001,20100908,四川,4033,草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1404542.jpg,,,,,,,,,, +小花丝颖针茅,Stipa capillacea var. parviflora,张永洪,李国栋,王晓雄,SunH-07ZX-1746,20080922,西藏,4037,高山灌丛,草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1404557.jpg,,,,,,,,,, +镰芒针茅,Stipa caucasica,,,,安徽省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00532985.jpg,,,,,,,,,, +镰芒针茅,Stipa caucasica,荒地勘察局,59,,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00706746.jpg,,,,,,,,,, +沙生针茅,Stipa caucasica,姜林,JL110090,20110906,陕西省,1178.2,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0138397.jpg,,,,,,,,,, +沙生针茅,Stipa caucasica subsp. glareosa,姜林,JL110090,20110906,陕西省,1178.2,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0138397.jpg,,,,,,,,,, +沙生针茅,Stipa caucasica subsp. glareosa,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,12-33,20180816,西藏,4469.7,河边,草本,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0193787.jpg,,,,,,,,,, +沙生针茅,Stipa caucasica subsp. glareosa,张洪军,许惠军,ZHANG2017HC016,20170519,甘肃,1782,温带荒漠灌草植被,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437502.jpg,,,,,,,,,, +,Stipa dickorei,,,,,,,,,,,,,,,,,,, +东方针茅,Stipa orientalis,"李安仁,朱家柟",6010,19580529,新疆维吾尔自治区,1000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233248.jpg,,,,,,,,,, +东方针茅,Stipa orientalis,Ho Ting-nung et al.,29,19930719,青海省,3330,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00707077.jpg,,,,,,,,,, +东方针茅,Stipa orientalis,黄河队,5468,19560711,宁夏回族自治区,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094556.jpg,,,,,,,,,, +疏花针茅,Stipa penicillata,杨永平,陈家辉,段元文,庄会富,刘德团,边巴扎西,YangYP-Q-0156,20080905,西藏,4715,草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1404595.jpg,,,,,,,,,, +疏花针茅,Stipa penicillata,T.P.Wang,7423,1937/7/27,甘肃,3200,,grass,无花无果,https://image.cvh.ac.cn/files/l/WUK/0418491.jpg,,,,,,,,,, +疏花针茅,Stipa penicillata,"张经炜,郑度",1591,19730827,西藏自治区,4190,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01484392.jpg,,,,,,,,,, +甘青针茅,Stipa przewalskyi,黄土队,4068,1985/7/31,宁夏,2500,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0461702.jpg,,,,,,,,,, +甘青针茅,Stipa przewalskyi,路端正,,20020900,西藏,3500,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00002199.jpg,,,,,,,,,, +甘青针茅,Stipa przewalskyi,山西队,547,19560618,山西省,,阳处山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233304.jpg,,,,,,,,,, +紫花针茅,Stipa purpurea,邱娟,冯建菊,LiuJQ0103,20080808,新疆,4171,草滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1404617.jpg,,,,,,,,,, +紫花针茅,Stipa purpurea,"李安仁,朱家柟",6379,19580803,新疆维吾尔自治区,2540,干旱冲击平原,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233249.jpg,,,,,,,,,, +紫花针茅,Stipa purpurea,Hopking son,1009,19300825,内蒙古自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00533100.jpg,,,,,,,,,, +狭穗针茅,Stipa regeliana,刘尚武,452,19650819,青海省,4300,山坡 草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01484365.jpg,,,,,,,,,, +狭穗针茅,Stipa regeliana,王文中,3206,19540811,山西省,3200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233282.jpg,,,,,,,,,, +狭穗针茅,Stipa regeliana,滇东北组,835,19640816,云南省,3400~3340,亚高山草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/319759.jpg,,,,,,,,,, +,Stipa richteriana,,s.n.,19140517,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01677990.jpg,,,,,,,,,, +,Stipa richteriana,"张经炜,王金亭",1176,19730822,西藏自治区,4550,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01469483.jpg,,,,,,,,,, +瑞氏针茅,Stipa richteriana,不详,730184,19730611,新疆维吾尔自治区 ,1200,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0216500.jpg,,,,,,,,,, +昆仑针茅,Stipa roborowskyi,陈世龙,张得钧,高庆波等,ChenSL0096,20080725,青海,4280,草原或河滩地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1404671.jpg,,,,,,,,,, +昆仑针茅,Stipa roborowskyi,青甘队,1685,19590808,青海省,4050,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/002429.jpg,,,,,,,,,, +昆仑针茅,Stipa roborowskyi,郭本兆,3439,1956/8/8,甘肃,3900,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0076094.jpg,,,,,,,,,, +西北针茅,Stipa sareptana var. krylovii,"李安仁,朱家柟",7693,19580811,新疆维吾尔自治区,2540,云杉林中 北坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233279.jpg,,,,,,,,,, +西北针茅,Stipa sareptana var. krylovii,青甘队,1286,19581103,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00707588.jpg,,,,,,,,,, +西北针茅,Stipa sareptana var. krylovii,R.J.Soreng et al.,5103,19970823,河北省,1240,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00707555.jpg,,,,,,,,,, +座花针茅,Stipa subsessiliflora,高生所西藏队,3405,19740708,新疆维吾尔自治区 ,3450,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/187687.jpg,,,,,,,,,, +座花针茅,Stipa subsessiliflora,,喀5,19850600,西藏自治区,4400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067259.jpg,,,,,,,,,, +羽柱针茅,Stipa subsessiliflora,"汤宗孝,田效文,张正华",1056,19810913,云南省,4100,石质山坡草原,,有花有果,https://image.cvh.ac.cn/files/l/PE/00707728.jpg,,,,,,,,,, +戈壁针茅,Stipa tianschanica var. gobica,杨喜林,112,19620620,宁夏,,浮莎石山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/LZD/LZD0002037.jpg,,,,,,,,,, +戈壁针茅,Stipa tianschanica var. gobica,青藏队,8344,19760729,西藏自治区,4600,山坡砂砾地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00707821.jpg,,,,,,,,,, +戈壁针茅,Stipa tianschanica var. gobica,T.Tang,854,19290527,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00707796.jpg,,,,,,,,,, +,Stipa turkestanica,,,,,,,,,,,,,,,,,,, +,Stipa turkestanica var. diyaensis,,,,,,,,,,,,,,,,,,, +,Stipa zhadaensis,,,,,,,,,,,,,,,,,,, +,Stracheya tibetica,PE西藏考察队,7533,20180619,,4768,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333757.jpg,,,,,,,,,, +,Stranvaesia nussia,秦仁昌,24332,19290905,云南省,2600,丛林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00739338.jpg,,,,,,,,,, +印缅红果树,Stranvaesia nussia,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00075384.jpg,,,,,,,,,, +槐实,Styphnolobium japonicum,野原茂六,189,19430509,,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00394310.jpg,,,,,,,,,, +缅桐,Sumbaviopsis albicans,"刘成, 胡枭剑, 李昌洪",18CS17561,20180711,云南,747,林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484243.jpg,,,,,,,,,, +,Sumbaviopsis albicans,"K.S.Chow,etc.",80050,19800530,云南省,700,by the side of a stream,,无花有果,https://image.cvh.ac.cn/files/l/PE/01110784.jpg,,,,,,,,,, +,Sumbaviopsis albicans,J.F.Maxwell ,95-589,19950825,,500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01110787.jpg,,,,,,,,,, +,Sunhangia calliantha,,,,,,,,,,,,,,,,,,, +,Sunhangia elegans,,,,,,,,,,,,,,,,,,, +,Sunhangia elegans var. handelii,,,,,,,,,,,,,,,,,,, +,Sunhangia stenophylla,,,,,,,,,,,,,,,,,,, +,Sunhangia yunnanensis,,,,,,,,,,,,,,,,,,, +,Syzygium aborense,,,,,,,,,,,,,,,,,,, +,Syzygium anisopetalum,,,,,,,,,,,,,,,,,,, +,Syzygium assamicum,,,,,,,,,,,,,,,,,,, +香胶蒲桃,Syzygium balsameum,C.W.Wang,80465,19361100,云南省 ,850,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0260282.jpg,,,,,,,,,, +香胶蒲桃,Syzygium balsameum,"刘成, 字海荣",14CS8374,20140325,云南,,河边灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395055.jpg,,,,,,,,,, +香胶蒲桃,Syzygium balsameum,黄志,31520,19311128,广东省,0,疏林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0154201.jpg,,,,,,,,,, +,Syzygium cumini,税玉民,陈文红等,71684,20070712,云南,180,沟谷雨林,乔木,,https://image.cvh.ac.cn/files/l/KUN/1251528.jpg,,,,,,,,,, +乌墨,Syzygium cumini,云南二队,12,19670425,云南省,700~800,田地边及林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01584966.jpg,,,,,,,,,, +乌墨,Syzygium cumini,,58,19730900,广西壮族自治区,600,砂无岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01991330.jpg,,,,,,,,,, +,Syzygium cuneatum,,,,,,,,,,,,,,,,,,, +美丽蒲桃,Syzygium formosum,黄天萍,C070112,20190325,云南,570,,小乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030567.jpg,,,,,,,,,, +簇花蒲桃,Syzygium fruticosum,叶国栋,1157,19800109,福建省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0261336.jpg,,,,,,,,,, +簇花蒲桃,Syzygium fruticosum,滇黔桂区系队,40436,19910514,贵州省,200,沟边,疏林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0154603.jpg,,,,,,,,,, +簇花蒲桃,Syzygium fruticosum,Y.Tsiang,12702,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00941878.jpg,,,,,,,,,, +,Syzygium kurzii,,,,,,,,,,,,,,,,,,, +阔叶蒲桃,Syzygium megacarpum,刘景欣,371,20090512,云南,754,森林,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029177.jpg,,,,,,,,,, +阔叶蒲桃,Syzygium megacarpum,"刘成, 张挺, 亚吉东",17CS15959,20170908,海南,590,山坡林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1446127.jpg,,,,,,,,,, +,Syzygium megacarpum,刘恩德,1667,20060418,云南省,600,林缘,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1204576.jpg,,,,,,,,,, +,Syzygium mishmiense,,,,,,,,,,,,,,,,,,, +水翁,Syzygium nervosum,林晓玉,201004308,20110707,广东,,水中,喜肥,耐湿性强,喜生于水边,,有果无花,https://image.cvh.ac.cn/files/l/SN/SN000789.jpg,,,,,,,,,, +水翁蒲桃,Syzygium nervosum,李剑武,4855,20190726,云南,933,公路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0035648.jpg,,,,,,,,,, +水翁蒲桃,Syzygium nervosum,隆安县普查队,450123140624044LY,20140624,广西壮族自治区,275,阔叶林,石灰岩,一般,野生,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00379572.jpg,,,,,,,,,, +高檐蒲桃,Syzygium oblatum,王洪,7010,20040426,云南省,900,次生林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01585277.jpg,,,,,,,,,, +高檐蒲桃,Syzygium oblatum,C.W.Wang,76125,19360700,云南省 ,1300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0262026.jpg,,,,,,,,,, +高檐蒲桃,Syzygium oblatum,M.R.Henderson,29727,19350718,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0262030.jpg,,,,,,,,,, +,Syzygium praecox,,,,,,,,,,,,,,,,,,, +,Syzygium syzygioides,,,,,,,,,,,,,,,,,,, +四角蒲桃,Syzygium tetragonum,海南调查队,913,19541215,海南省,1000~800,水旁阴处密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00994312.jpg,,,,,,,,,, +四角蒲桃,Syzygium tetragonum,780植被组,251,19781111,云南省,2000,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01803748.jpg,,,,,,,,,, +四角蒲桃,Syzygium tetragonum,M.K.Li,2432,19391212,云南省 ,2000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0262286.jpg,,,,,,,,,, +酸豆,Tamarindus indica,"N.Zamora,R.Espinoza,E.Navarro",7284,20141024,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100903.jpg,,,,,,,,,, +,Tateishia concinna,,,,,,,,,,,,,,,,,,, +,Tenaxia cumminsii,,,,,,,,,,,,,,,,,,, +短萼灰叶,Tephrosia candida,E.Westphal,9628,19770612,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01942490.jpg,,,,,,,,,, +,Terminalia arjuna,,s.n.,19490505,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01678189.jpg,,,,,,,,,, +,Terminalia arjuna,236-6队,3968,19810718,海南省,63,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01584999.jpg,,,,,,,,,, +三果木,Terminalia arjuna,廖聪金、梁荣光,15232,19850727,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0247993.jpg,,,,,,,,,, +毗黎勒,Terminalia bellirica,中苏队,7534,19570323,云南省,850,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0247995.jpg,,,,,,,,,, +毗黎勒,Terminalia bellirica,Umrao Singh,460,19281005,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0248000.jpg,,,,,,,,,, +毗黎勒,Terminalia bellirica,张文富、沐金海、鲍顺荣,ZhangWF098,20191119,云南,820,季风常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1501180.jpg,,,,,,,,,, +榄仁树,Terminalia catappa,Y.Tateishi et al.,25296,19881103,台湾省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01833660.jpg,,,,,,,,,, +榄仁树,Terminalia catappa,汪韬,183,20200527,福建,6,,乔木,有花无果,https://image.cvh.ac.cn/files/l/AU/AU080622.jpg,,,,,,,,,, +榄仁树,Terminalia catappa,东兴市普查队,450681180510076LY,20180510,广西,29,路旁,一般栽培,乔木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00418011.jpg,,,,,,,,,, +诃子,Terminalia chebula,黄剑辉,,19610622,广西省,,,,,https://image.cvh.ac.cn/files/l/FJIDC/FJIDC009699.jpg,,,,,,,,,, +诃子,Terminalia chebula,蔡国樑,786,19821102,福建省,,栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/02114232.jpg,,,,,,,,,, +诃子,Terminalia chebula,T.T.Yu,16513,19380625,云南省,1540,in thicket,,无花有果,https://image.cvh.ac.cn/files/l/PE/02114235.jpg,,,,,,,,,, +,Terminalia citrina,陈秀香 沙文兰,11774,19720504,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI011185.jpg,,,,,,,,,, +错枝榄仁,Terminalia franchetii var. intricata,余奇,郑臣臣,苏翠萍,胡苏,CIBYQ013B009,20180731,四川,2546,,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1503135.jpg,,,,,,,,,, +错枝榄仁,Terminalia franchetii var. intricata,陈彬、朱鑫鑫、沈彬、宋以刚,CSH06672,20140729,四川省,2575,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0037414.jpg,,,,,,,,,, +,Terminalia franchetii var. intricata,"孔航辉,罗江平,左雷,刘莹",YangQE3328,20110922,云南省,1844,路旁,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1304435.jpg,,,,,,,,,, +,Terminalia myriocarpa,"刘成, 亚吉东, 何华杰, 李昌洪",16CS14018,20161121,西藏,756,季风常绿阔叶林林缘路边,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1450263.jpg,,,,,,,,,, +千果榄仁,Terminalia myriocarpa,"程树志,李渤生",2667,19830122,西藏自治区,1100,江边地常绿雨林建群种,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114354.jpg,,,,,,,,,, +千果榄仁,Terminalia myriocarpa,中苏队,6111,19550405,云南省 ,1550,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0248198.jpg,,,,,,,,,, +,Terminalia paniculata,V.Narayanosanuy,18922,19280815,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0248207.jpg,,,,,,,,,, +水青树,Tetracentron sinense,"李渤生,程树志",5212,19830623,西藏自治区,2200~2600,林中时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01494438.jpg,,,,,,,,,, +水青树属,Tetracentron sinense,西藏生物所植物资源队,3668,19830819,西藏,2650,常绿阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001520.jpg,,,,,,,,,, +水青树,Tetracentron sinense,,7197,1983-08-,西藏省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0076963.jpg,,,,,,,,,, +锡叶藤,Tetracera sarmentosa,郑林丽,C250462,20120704,云南省,570,综合二区,,,https://image.cvh.ac.cn/files/l/HITBC/0020527.jpg,,,,,,,,,, +锡叶藤,Tetracera sarmentosa,许为斌、蒋日红等,NM778,20110707,广西壮族自治区,260~550,常绿阔叶林山坡(土山),灌木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00207014.jpg,,,,,,,,,, +锡叶藤,Tetracera sarmentosa,徐克学,23364,20060810,香港,,,,,https://image.cvh.ac.cn/files/l/SZG/SZG00002423.jpg,,,,,,,,,, +毛果锡叶藤,Tetracera scandens,丁广奇,石国良,689,1963/7/4,广东,70,,藤本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0424944.jpg,,,,,,,,,, +毛果锡叶藤,Tetracera scandens,黎祖经,,19640600,广西,130,丘陵,灌木,有花无果,https://image.cvh.ac.cn/files/l/GAC/GAC0007071.jpg,,,,,,,,,, +毛果锡叶藤,Tetracera scandens,徐闻调查队,737,19541109,广东省,100,中型起伏 平坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01581897.jpg,,,,,,,,,, +,Tetrastigma bracteolatum,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-1108-T05-0003189,20171215,,508,"Roadside, under the forest",藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1458900.jpg,,,,,,,,,, +,Tetrastigma delavayi,王啟無,0,1935,吉林,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0063162.jpg,,,,,,,,,, +七小叶崖爬藤,Tetrastigma delavayi,"刘成, 何华杰, 黄莉, 杨忠兰",14CS8547,20141109,云南,,路边山坡,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395431.jpg,,,,,,,,,, +,Tetrastigma delavayi,胡君,熊豫宁,伍小刚,王东超,HJ05060,20151024,西藏自治区,960,山坡,疏林下,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00595038.jpg,,,,,,,,,, +长果三叶崖藤,Tetrastigma dubium,西藏考察队,1526,19730722,西藏自治区,1500,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/46728.jpg,,,,,,,,,, +,Tetrastigma dubium,M.Mikage N.Acharya T.Kurosawa & A.Takahashi,9613010,19960118,,150~160,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309116.jpg,,,,,,,,,, +三叶崖爬藤,Tetrastigma hemsleyanum,安明先,3465,20030614,贵州省,830,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01860642.jpg,,,,,,,,,, +三叶崖爬藤,Tetrastigma hemsleyanum,张代贵,20110718067,20110718,湖南湘西州,,,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU21525.jpg,,,,,,,,,, +三叶崖爬藤,Tetrastigma hemsleyanum,Exp. Mingxi,5089,20050709,福建,450,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00615289.jpg,,,,,,,,,, +蒙自崖爬藤,Tetrastigma henryi,紫胶队,1580,19650412,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01611855.jpg,,,,,,,,,, +蒙自崖爬藤,Tetrastigma henryi,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00067919.jpg,,,,,,,,,, +蒙自崖爬藤,Tetrastigma henryi,陈少卿,10176,19560727,广西壮族自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00067917.jpg,,,,,,,,,, +叉须崖爬藤,Tetrastigma hypoglaucum,王映明,4528,19880702,湖北省,1300,山坡 林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01356853.jpg,,,,,,,,,, +,Tetrastigma hypoglaucum,"朱鑫鑫, 林庶, 胡梦杰",ZXX191131,20190907,云南,2270,亚热带针阔混交林,山坡灌丛中,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484979.jpg,,,,,,,,,, +叉须崖爬藤,Tetrastigma hypoglaucum,路端正,810468,19811025,湖南,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00010619.jpg,,,,,,,,,, +景洪崖爬藤,Tetrastigma jinghongense,青藏队,719,19730715,西藏自治区,2300,山坡常绿林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00689191.jpg,,,,,,,,,, +景洪崖爬藤,Tetrastigma jinghongense,中苏云南联合考察团,5590,19570325,云南省,850,密林阴处,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/01862276.jpg,,,,,,,,,, +显脉崖爬藤,Tetrastigma lenticellatum,,s.n.,19581228,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00689216.jpg,,,,,,,,,, +显孔崖爬藤,Tetrastigma lenticellatum,李植芝,62,19630108,云南省 ,0~785,,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0608271.jpg,,,,,,,,,, +,Tetrastigma lenticellatum,C. W. Wang,77055,Jun-36,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00098310.jpg,,,,,,,,,, +毛枝崖爬藤,Tetrastigma obovatum,李洪钧,9447,19580930,湖北省,1100,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0063244.jpg,,,,,,,,,, +毛枝崖爬藤,Tetrastigma obovatum,武陵山考察队,570,19880606,贵州省,700,沿河两岸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01356859.jpg,,,,,,,,,, +毛枝崖爬藤,Tetrastigma obovatum,"覃海宁,张灿明,傅德志",3966,19880826,湖南省,900,山坡 草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01356858.jpg,,,,,,,,,, +崖爬藤,Tetrastigma obtectum,红水河植物考察队,1310,19890517,广西壮族自治区,1000,公路旁 沟谷 密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999719.jpg,,,,,,,,,, +崖爬藤,Tetrastigma obtectum,,927,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0608354.jpg,,,,,,,,,, +崖爬藤,Tetrastigma obtectum,"赵厚涛, 韩国营",YBG048,20121103,贵州,985,荒坡灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1458812.jpg,,,,,,,,,, +扁担藤,Tetrastigma planicaule,林鎔,4571,19321118,福建省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00689490.jpg,,,,,,,,,, +扁担藤,Tetrastigma planicaule,曾宪锋,ZXF42270,20181106,广东,560,山地林间,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0037535.jpg,,,,,,,,,, +扁担藤,Tetrastigma planicaule,田旗、王正伟、郭光普,TQ00570,20110510,西藏,1071,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0071233.jpg,,,,,,,,,, +喜马拉雅崖爬藤,Tetrastigma rumicispermum,"覃海宁,任辉等",GX034,20020427,云南省,1650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00757828.jpg,,,,,,,,,, +,Tetrastigma rumicispermum,,51822,,云南省 ,0,,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0457737.jpg,,,,,,,,,, +嘉马拉雅爬藤,Tetrastigma rumicispermum,野生植物种质资源采集,19PXC107,20191016,云南,1531,林地,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484069.jpg,,,,,,,,,, +锈毛喜马拉雅崖爬藤,Tetrastigma rumicispermum var. lasiogynum,"李渤生,程树志",4929,19830530,西藏自治区,850,沟谷Ficus林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00689612.jpg,,,,,,,,,, +锈毛喜马拉雅崖爬藤,Tetrastigma rumicispermum var. lasiogynum,"郭永杰, 吴志坤, 吴兴, 王宇萍, 李志军",14CS9868,20141109,云南,,公路边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395434.jpg,,,,,,,,,, +锈毛喜马拉雅崖爬藤,Tetrastigma rumicispermum var. lasiogynum,,57029,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0457827.jpg,,,,,,,,,, +,Tetrastigma rupestre,王功范,1-0507,20030708,贵州省,700,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01611854.jpg,,,,,,,,,, +石生崖爬藤,Tetrastigma rupestre,姚淦等,3600,19900831,西藏自治区,1900,阔叶林,藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00001999.jpg,,,,,,,,,, +石生崖爬藤,Tetrastigma rupestre,翟仕成,3-50338,19770603,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI023153.jpg,,,,,,,,,, +狭叶崖爬藤,Tetrastigma serrulatum,"李渤生,程树志",2506,19830114,西藏自治区,1530,江边Altingia林中常见藤本,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810563.jpg,,,,,,,,,, +狭叶崖爬藤,Tetrastigma serrulatum,T.N.Liou,6372,19321203,,2185,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01679422.jpg,,,,,,,,,, +狭叶崖爬藤,Tetrastigma serrulatum,谢欢欢,522230191006010LY,20191006,贵州,323,灌丛、中生、阳性、中温、酸性土、野生植物,藤本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0102519.jpg,,,,,,,,,, +毛狭叶崖爬藤,Tetrastigma serrulatum var. puberulum,农东新、彭玉德、李金花,451026150524024LY,20150524,广西壮族自治区,,灌丛、林缘、石灰土,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0109368.jpg,,,,,,,,,, +毛枝细齿崖爬藤,Tetrastigma serrulatum var. puberulum,中苏云南联合考察团,5169,19570224,云南省,1300,沟底密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00689671.jpg,,,,,,,,,, +毛枝细齿崖爬藤,Tetrastigma serrulatum var. puberulum,"李渤生,程树志",3476,19830114,西藏,960,林内缠绕,,无花有果,https://image.cvh.ac.cn/files/l/PE/01810586.jpg,,,,,,,,,, +大果西畴崖爬藤,Tetrastigma sichouense var. megalocarpum,H.T.Tsai,60046,19340601,云南省,1400,in ravine,,无花有果,https://image.cvh.ac.cn/files/l/PE/00689697.jpg,,,,,,,,,, +大果西畴崖爬藤,Tetrastigma sichouense var. megalocarpum,青藏队,5013,19740903,西藏自治区,900,山坡阔叶林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00689695.jpg,,,,,,,,,, +大果西畴崖爬藤,Tetrastigma sichouense var. megalocarpum,中越考察队,1192,19650108,,560~1000,次生林中,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0458259.jpg,,,,,,,,,, +,Tetrastigma thomsonianum,,,,,,,,,,,,,,,,,,, +毛菱叶崖爬藤,Tetrastigma triphyllum var. hirtum,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11824,20161110,西藏,2317,林缘路边大树上,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1450640.jpg,,,,,,,,,, +毛菱叶崖爬藤,Tetrastigma triphyllum var. hirtum,A.Henry,11647,,云南省,4500,byr climber on trees,,有花有果,https://image.cvh.ac.cn/files/l/PE/00689795.jpg,,,,,,,,,, +毛菱叶崖爬藤,Tetrastigma triphyllum var. hirtum,"南水北调队,姜恕",5808,19600523,四川省,,阳处凹形坡浅各山胡桃林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00689762.jpg,,,,,,,,,, +云南崖爬藤,Tetrastigma yunnanense,刘慎谔,21771,19461018,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00689836.jpg,,,,,,,,,, +云南崖爬藤,Tetrastigma yunnanense,刘心祈,26236,19360412,海南,,斜坡密林中,攀援藤本,无花有果,https://image.cvh.ac.cn/files/l/SN/SN006628.jpg,,,,,,,,,, +云南崖爬藤,Tetrastigma yunnanense,"李渤生,程树志",2204,19821215,西藏自治区,1700~1800,沟谷常绿阔叶林中时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00689859.jpg,,,,,,,,,, +直梗高山唐松草,Thalictrum alpinum var. elatum,罗毅波,L053,19920513,四川省,3700,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814273.jpg,,,,,,,,,, +直梗高山唐松草,Thalictrum alpinum var. elatum,段长虹,Dch0573,20140818,山西省,1930,路边石隙,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014959.jpg,,,,,,,,,, +直梗高山唐松草,Thalictrum alpinum var. elatum,侯喜祥,924,1973/6/14,陕西 ,2874,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0397894.jpg,,,,,,,,,, +贝加尔唐松草,Thalictrum baicalense,Ki-Mon Liou,L. 3097,1934/7/7,河北; HOPEI,1250,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00054179.jpg,,,,,,,,,, +贝加尔唐松草,Thalictrum baicalense,王作宾,18028,1957/6/23,甘肃 ,2500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0482871.jpg,,,,,,,,,, +贝加尔唐松草,Thalictrum baicalense,"王忠涛,曲上,徐连升",140224,20140613,河北省,887,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02036343.jpg,,,,,,,,,, +,Thalictrum changii,,,,,,,,,,,,,,,,,,, +珠芽唐松草,Thalictrum chelidonii,张书东,何华杰,81239,20080919,西藏,2287,石壁上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1439106.jpg,,,,,,,,,, +珠芽唐松草,Thalictrum chelidonii,"H.Li,S.X.Yang,R.Li etc.",874,20021107,云南省,2430,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090696.jpg,,,,,,,,,, +珠芽唐松草,Thalictrum chelidonii,"李渤生,李辉,阳艺",13436,19900903,西藏自治区,3100~3300,亚高山灌丛中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01467607.jpg,,,,,,,,,, +,Thalictrum cirrhosum,"Ducloux, F.",604,19-Jul-05,,,,,,https://image.cvh.ac.cn/files/l/E/E00386277.jpg,,,,,,,,,, +星毛唐松草,Thalictrum cirrhosum,王文采,21831,19300725,四川省,2400,slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/378576.jpg,,,,,,,,,, +星毛唐松草,Thalictrum cirrhosum,"税玉良,陈文红等",64811,20060819,云南省,1880~2030,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962180.jpg,,,,,,,,,, +高原唐松草,Thalictrum cultratum,f.p.metealf and class,785,19250430,福建省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/091050232.jpg,,,,,,,,,, +高原唐松草,Thalictrum cultratum,C.Y.Chiao,2025,19300702,山东省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/091050221_1.jpg,,,,,,,,,, +高原唐松草,Thalictrum cultratum,张永洪,王晓雄,周卓,岳亮亮,SunH-07ZX-0433,20080718,西藏,3699,高山灌丛,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232908.jpg,,,,,,,,,, +偏翅唐松草,Thalictrum delavayi,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0584,20130806,西藏自治区,3750,灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000571.jpg,,,,,,,,,, +偏翅唐松草,Thalictrum delavayi,张挺,郭永杰,刘成等,10CS2132,20100729,云南,2542,Pinus yunnanensis forest. Shaded area under Rhododendrons.,,花标本,https://image.cvh.ac.cn/files/l/KUN/1232918.jpg,,,,,,,,,, +偏翅唐松草,Thalictrum delavayi,吴磊、邓创发,9097,20190927,湖南,1200~1250,山坡疏林,直立草本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI074427.jpg,,,,,,,,,, +小叶唐松草,Thalictrum elegans,C.W.Wang,70156,19350900,云南省 ,2700,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00051710.jpg,,,,,,,,,, +小叶唐松草,Thalictrum elegans,杨亲二,袁琼,YangQE2518,20080908,云南,3300,林间草地,,果标本,https://image.cvh.ac.cn/files/l/KUN/1232939.jpg,,,,,,,,,, +小叶唐松草,Thalictrum elegans,高信芬,鞠文彬,郑臣臣,THP-KD-5936,20170810,四川,3797,冰川砾石堆,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242742.jpg,,,,,,,,,, +腺毛唐松草,Thalictrum foetidum,Ki-Mon Liou,L. 3222,1934/8/8,河北; HOPEI,920,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00054185.jpg,,,,,,,,,, +腺毛唐松草,Thalictrum foetidum,,8547,19590826,河北省,1530,山地 草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01219917.jpg,,,,,,,,,, +腺毛唐松草,Thalictrum foetidum,"杨亲二,袁琼",Yangqe2535,20080909,云南省,2500,峡谷岸坡地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01959870.jpg,,,,,,,,,, +多叶唐松草,Thalictrum foliolosum,"税玉民,黄素华,陈文红",40400,20031119,云南省,1700,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01962271.jpg,,,,,,,,,, +多叶唐松草,Thalictrum foliolosum,赵以民、黎宁芬、胡营、林启龙,451030151115016LY,20151115,广西壮族自治区,1062,,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0154630.jpg,,,,,,,,,, +多叶唐松草,Thalictrum foliolosum,俞德俊,22394,19380818,云南省 ,,碎石坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00357593.jpg,,,,,,,,,, +,Thalictrum hengduanshanense,,,,,,,,,,,,,,,,,,, +,Thalictrum lecoyeri,P. J. M. Delavay,2124,1886-7-4,,2500,,,,https://image.cvh.ac.cn/files/l/NY/00353657.jpg,,,,,,,,,, +,Thalictrum lecoyeri,"关克俭,王文采等",1833,19630823,四川省,3050,山路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01573242.jpg,,,,,,,,,, +,Thalictrum lecoyeri,"谢磊,毛建丰",XM103,20010730,云南省,2800,山坡草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01569454.jpg,,,,,,,,,, +,Thalictrum longistipitatum,,,,,,,,,,,,,,,,,,, +东亚唐松草,Thalictrum minus,F. Konta,11478,19760824,Yamanashi Prefecture,1100,"Grassy place in Pinus densiflora afforestation, in light shande",,有花有果,https://image.cvh.ac.cn/files/l/SHM/SHM0014072.jpg,,,,,,,,,, +亚欧唐松草,Thalictrum minus,尹鑫,吴航,葛文静,LiuJQ-GN-2011-196,20110804,甘肃,2924,温带落叶阔叶林林缘,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1233088.jpg,,,,,,,,,, +亚欧唐松草,Thalictrum minus,陈世龙,张得钧,高庆波等,ChenSL0341,20080806,青海,3590,云杉林下或河滩,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1233087.jpg,,,,,,,,,, +,Thalictrum minus subsp. maxwellii,,,,,,,,,,,,,,,,,,, +尼泊尔唐松草,Thalictrum nepalense,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201204,20200724,西藏,2276,石坡上,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1504939.jpg,,,,,,,,,, +,Thalictrum neurocarpum,M Suzuki et al.,9470191,19940729,,3150~3820,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900070.jpg,,,,,,,,,, +美丽唐松草,Thalictrum neurocarpum,,1167,19720814,西藏,2600~3000,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00025109.jpg,,,,,,,,,, +,Thalictrum platycarpum,Y.Iokawa et al.,15071,20030630,,3520,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02062568.jpg,,,,,,,,,, +长柄唐松草,Thalictrum przewalskii,孙学刚等,6245,20060804,甘肃省,2230,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01962252.jpg,,,,,,,,,, +长柄唐松草,Thalictrum przewalskii,,25,19590720,陕西,,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00025258.jpg,,,,,,,,,, +长柄唐松草,Thalictrum przewalskii,T.P. Wang,13677,1942/9/1,宁夏回族自治区,2500,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0069593.jpg,,,,,,,,,, +美丽唐松草,Thalictrum reniforme,"M.Suzuki,N.Acharya,etc.",9470229,19940728,,2500,Erect herb on slope at the edge of pinus forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261004.jpg,,,,,,,,,, +美丽唐松草,Thalictrum reniforme,PE西藏队,PE6297,20170911,西藏自治区,2445,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309221.jpg,,,,,,,,,, +美丽唐松草,Thalictrum reniforme,青藏队,74-2830,19741005,西藏,2500,山坡及灌丛林下,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00024908.jpg,,,,,,,,,, +小喙唐松草,Thalictrum rostellatum,张廷,蔡杰,袁明等,09CS1614,20090926,西藏,3137,河谷山坡林中,,果标本,https://image.cvh.ac.cn/files/l/KUN/1233124.jpg,,,,,,,,,, +小喙唐松草,Thalictrum rostellatum,谢登峰、蔡竞、秦换换,QH-012-B-006,20200923,四川,3956.32m,高山草甸,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02070078.jpg,,,,,,,,,, +小喙唐松草,Thalictrum rostellatum,段世民,A87056,1987.7.1,新疆维吾尔自治区 ,3500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00010957.jpg,,,,,,,,,, +,Thalictrum rotundifolium,李渤生,13321,19900831,西藏自治区,2800,乔松林下石上时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00450372.jpg,,,,,,,,,, +,Thalictrum rotundifolium,M Suzuki et al.,9470147,19940723,,1000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966025.jpg,,,,,,,,,, +芸香叶唐松草,Thalictrum rutifolium,Forrest,14454,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00054255.jpg,,,,,,,,,, +芸香叶唐松草,Thalictrum rutifolium,Zhao Zhen-Ju,114269,19810528,四川省,3600,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01547223.jpg,,,,,,,,,, +芸香叶唐松草,Thalictrum rutifolium,何业祺,4258,1959/7/22,甘肃省 ,2800,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0158090.jpg,,,,,,,,,, +,Thalictrum saniculiforme,许炳强,吴兴,李婧,田恩伟,XiaNH-07zx-0100,20091026,云南,2243,林下草丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1233144.jpg,,,,,,,,,, +,Thalictrum saniculiforme,M Mikage et al.,9470554,19940825,,2320,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966026.jpg,,,,,,,,,, +叉柱唐松草,Thalictrum saniculiforme,任,793027,19790000,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00038507.jpg,,,,,,,,,, +,Thalictrum secundum,,,,,,,,,,,,,,,,,,, +石砾唐松草,Thalictrum squamiferum,田景全,344,19600806,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811927.jpg,,,,,,,,,, +石砾唐松草,Thalictrum squamiferum,杨永昌,1123,19640709,青海,4200,阴坡、小路边灌丛下,草本,有花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00024983.jpg,,,,,,,,,, +石砾唐松草,Thalictrum squamiferum,内蒙队,417,19630815,内蒙古自治区,,低山山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01568269.jpg,,,,,,,,,, +帚枝唐松草,Thalictrum virgatum,扎西次仁,ZhongY070,20080728,西藏,3270,山地林下石上,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1233195.jpg,,,,,,,,,, +帚枝唐松草,Thalictrum virgatum,陈又生,9015,20090718,云南省,3700,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966699.jpg,,,,,,,,,, +帚枝唐松草,Thalictrum virgatum,蔡杰,刘洋,李秋野,10CS1931,20100723,云南,2248,石灰山草坡灌丛中,,花标本,https://image.cvh.ac.cn/files/l/KUN/1233190.jpg,,,,,,,,,, +,Thamnocalamus arunachalensis,,,,,,,,,,,,,,,,,,, +,Thamnocalamus spathiflorus,马朋飞,蔡兆明,MPF10065,20100524,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1232465.jpg,,,,,,,,,, +,Thamnocalamus spathiflorus var. crassinodus,,,,,,,,,,,,,,,,,,, +,Thamnocalamus unispiculatus,,,,,,,,,,,,,,,,,,, +瘤菅,Themeda anathera,,20362,,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0108279.jpg,,,,,,,,,, +瘤菅,Themeda anathera,邓良,7939,19581007,广东省,800~600,山地田野边路旁水旁,,有果无花,https://image.cvh.ac.cn/files/l/KUN/319950.jpg,,,,,,,,,, +瘤菅,Themeda anathera,岳俊三等,4624,19631002,江西省,460,河谷滩上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/319779.jpg,,,,,,,,,, +苞子草,Themeda caudata,田效文,12,19820612,四川省,1750,山麓 干热谷 灌草场,,有花有果,https://image.cvh.ac.cn/files/l/PE/01645881.jpg,,,,,,,,,, +苞子草,Themeda caudata,左大勋,4165,19601013,浙江省,,山坡路边,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00533275.jpg,,,,,,,,,, +苞子草,Themeda caudata,刘艳春,782,20111016,贵州,1180,山坡草丛,草本,,https://image.cvh.ac.cn/files/l/KUN/1404719.jpg,,,,,,,,,, +大响铃草,Themeda gigantea,汪振儒,195,1933-10-,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0108339.jpg,,,,,,,,,, +王茅针,Themeda gigantea,,12540,1963/1/1,海南; Hainan,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00003690.jpg,,,,,,,,,, +大响铃草,Themeda gigantea,谢文忠,264,19791026,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/98150.jpg,,,,,,,,,, +西南菅草,Themeda hookeri,王启无,66302,19360000,云南省 ,3000,路旁山坡,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00533256.jpg,,,,,,,,,, +西南菅草,Themeda hookeri,北京所横断山队,3361,19810821,云南省,2200~2900,干热河谷灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01401946.jpg,,,,,,,,,, +西南菅草,Themeda hookeri,生物研究所西藏考察队,837,19730708,西藏自治区,2300,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0216984.jpg,,,,,,,,,, +阿拉伯黄背草,Themeda triandra,西南综考队接壤分队,s.n.,19650910,四川省,3100,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01246634.jpg,,,,,,,,,, +黄背草,Themeda triandra,甘啟良,GanQL1760,20201114,重庆,,山坡草丛中,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1555804.jpg,,,,,,,,,, +黄背草,Themeda triandra,李保义,,19871012,内蒙古,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00002219.jpg,,,,,,,,,, +菅,Themeda villosa,T.P.Wang,9943,19381028,四川省,600,road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/00615886.jpg,,,,,,,,,, +菅,Themeda villosa,梁跃龙,廖海红,LiangYL109,20131210,江西,480,亚热带常绿阔叶林中草地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1404762.jpg,,,,,,,,,, +菅,Themeda villosa,3组,130322130828153LY,20130829,河北省,151,针叶林,草本,无花有果,https://image.cvh.ac.cn/files/l/HBNU/HBNU10003751.jpg,,,,,,,,,, +高山野决明,Thermopsis alpina,钟志宇,272,19930711,,3000,草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01611036.jpg,,,,,,,,,, +光叶黄花,Thermopsis alpina var. licentiana,刘尚武,3861,19900612,,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0211741.jpg,,,,,,,,,, +紫花野决明,Thermopsis barbata,PE西藏队,PE5281,20170826,,4270,林下灌层,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330343.jpg,,,,,,,,,, +吉隆黄华,Thermopsis barbata f. chrysanthus,,578,19720626,,3400,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432573.jpg,,,,,,,,,, +,Thermopsis inflata,青藏队植被组,11785,19760622,,4800~5000,阴坡湖湿处 沙质地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01539600.jpg,,,,,,,,,, +,Thermopsis lanceolata,PE西藏考察队,7703,20180623,,4175,流石滩,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333743.jpg,,,,,,,,,, +披针叶野决明,Thermopsis lupinoides,Miyoshi Furuse,26083,19530515,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932174.jpg,,,,,,,,,, +,Thermopsis przewalskii,郭本兆,3320,19560802,,3260,河滩,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0623787.jpg,,,,,,,,,, +大苞赤瓟,Thladiantha cordifolia,陈少卿,14824,1958/7/10,广西,550,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0211103.jpg,,,,,,,,,, +大苞赤爬,Thladiantha cordifolia,"覃海宁,王印政,闫丽春等",1155,19980423,广西壮族自治区,1000,山地、山坡、疏林,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016896.jpg,,,,,,,,,, +大苞赤瓟,Thladiantha cordifolia,张吉华,98598,19980627,江西省,1250,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0208770.jpg,,,,,,,,,, +大萼赤,Thladiantha grandisepala,"刘成, 亚吉东",18CS17242,20181122,西藏,705,箐沟边林缘,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484756.jpg,,,,,,,,,, +大萼赤爬,Thladiantha grandisepala,李光照,15509,19970725,四川省,900,山谷草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670669.jpg,,,,,,,,,, +大萼赤瓟,Thladiantha grandisepala,临桂普查队,450322170809012LY,20170809,广西壮族自治区,288,阔叶林,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0156806.jpg,,,,,,,,,, +异叶赤,Thladiantha hookeri,粤73 ,338,19730529,广东省,700,山地路旁山谷密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01198452.jpg,,,,,,,,,, +异叶赤,Thladiantha hookeri,"程树志,李渤生",1408,19821005,西藏自治区,2000,次生针阔混交林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01198460.jpg,,,,,,,,,, +异叶赤瓟,Thladiantha hookeri,吉首大学生物资源与环境科学学院,GWJ20170610_0129,20170610,湖南,402,林缘,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU34958.jpg,,,,,,,,,, +,Thladiantha nudiflora,王梅荣,田陌,田先华,TianXH108,20101002,陕西,1375,山坡或沟边路旁,草质藤本,,https://image.cvh.ac.cn/files/l/KUN/1250271.jpg,,,,,,,,,, +南赤瓟,Thladiantha nudiflora,李振基等,AU02943,20180616,福建,893,林下,,无花无果,https://image.cvh.ac.cn/files/l/AU/AU082995.jpg,,,,,,,,,, +南赤瓟,Thladiantha nudiflora,H.W.Kung,K.1902,19310723,吉林省,500,,,无花有果,https://image.cvh.ac.cn/files/l/NKU/NK 011213.jpg,,,,,,,,,, +长毛赤,Thladiantha villosula,"刘成, 蔡杰, 张挺, 刘恩德, 张书东",13CS6425,20130527,西藏,833,林中灌丛上,草质藤本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1451916.jpg,,,,,,,,,, +长毛赤,Thladiantha villosula,万涛等,FSB-787,20130709,四川省,,沿路,,有花无果,https://image.cvh.ac.cn/files/l/PE/01994106.jpg,,,,,,,,,, +长毛赤瓟,Thladiantha villosula,Kuang,756K.,,河北省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0209147.jpg,,,,,,,,,, +,Thomsonaria verticillata,,,,,,,,,,,,,,,,,,, +棕叶芦,Thysanolaena latifolia,郭永杰,聂细转,黄秋月,李昌洪,12CS4927,20120320,云南,779,公路边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1404771.jpg,,,,,,,,,, +粽叶芦,Thysanolaena latifolia,林秦文,68,20020200,福建,200,山涧边,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00002231.jpg,,,,,,,,,, +,Thysanolaena latifolia,李荫昆,P01111,19570504,广西壮族自治区,,山坡倾斜,阴处,疏林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02089545.jpg,,,,,,,,,, +,Tiarella polyphylla,姚淦 Y.Kao,9684,19860524,安徽,,under the forest by the stream,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00602140.jpg,,,,,,,,,, +黄水枝,Tiarella polyphylla,王国宏等,93221,19930708,甘肃省,1100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869584.jpg,,,,,,,,,, +黄水枝,Tiarella polyphylla,张代贵,ly080107051,20041104,湖南张家界,,林下灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU51945.jpg,,,,,,,,,, +,Tibetia himalaica,PE西藏队,PE5501,20170831,,4460,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330376.jpg,,,,,,,,,, +,Tibetia yunnanensis var. coelestis,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-003-B08,20160728,,,高山栎群落中,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609254.jpg,,,,,,,,,, +五蕊东爪草,Tillaea schimperi,"张永田,郞楷永",1114,19650729,西藏自治区,3040,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00915448.jpg,,,,,,,,,, +五蕊东爪草,Tillaea schimperi,"王中仁,路安民",852,19790916,四川省,3075,原房基之石壁的石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268678.jpg,,,,,,,,,, +五蕊东爪草,Tillaea schimperi,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201740,20200815,西藏,3629,荒地上,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1508966.jpg,,,,,,,,,, +,Tinomiscium petiolare,L.Q.Li et al.,317,20041026,,180,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01625735.jpg,,,,,,,,,, +大叶藤,Tinomiscium petiolare,李芳,20185290,20180418,贵州省,492,路边石上,,无花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0025271.jpg,,,,,,,,,, +,Tinomiscium petiolare,陈少卿,12408,19570509,广西壮族自治区,350~400,"丘陵水旁山谷密林脊土少见,散生",,无花无果,https://image.cvh.ac.cn/files/l/PE/01036657.jpg,,,,,,,,,, +,Tinospora cordifolia,P Perumal,17982,19780410,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01036716.jpg,,,,,,,,,, +波叶青牛胆,Tinospora crispa,罗献瑞,1806,,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0097796.jpg,,,,,,,,,, +波叶青牛胆,Tinospora crispa,贵州队,84,19600107,贵州省,,,藤本,有花无果,https://image.cvh.ac.cn/files/l/HGAS/014210.jpg,,,,,,,,,, +波叶青牛胆,Tinospora crispa,,7743,19620403,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01036717.jpg,,,,,,,,,, +青牛胆,Tinospora sagittata,岳俊三等,3616,1963/8/21,湖北,1200,,草质藤本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0219266.jpg,,,,,,,,,, +青牛胆,Tinospora sagittata,236 四川任务组,96,19710714,四川省,1050,北侧一里林下树上,,无花有果,https://image.cvh.ac.cn/files/l/PE/02086421.jpg,,,,,,,,,, +青牛胆,Tinospora sagittata,税玉民,3399,19930811,云南省,1890,山沟 密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01658189.jpg,,,,,,,,,, +中华青牛胆,Tinospora sinensis,王瑞江,3681,20170413,广东,,山地,海边,藤本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU067888.jpg,,,,,,,,,, +中华青牛胆,Tinospora sinensis,石国良,10542,1974,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0097893.jpg,,,,,,,,,, +中华青牛胆,Tinospora sinensis,,65003,19700706,云南省 ,1700,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1265329.jpg,,,,,,,,,, +尖叶漆,Toxicodendron acuminatum,陈谦海,2389,19840429,贵州省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/576476.jpg,,,,,,,,,, +尖叶漆,Toxicodendron acuminatum,王俊;罗川,LuoP244,20160613,四川,1985,亚热带落叶阔叶林坡地,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1480997.jpg,,,,,,,,,, +尖叶漆,Toxicodendron acuminatum,毛品一,2726,1953/7/28,云南,1100,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0246710.jpg,,,,,,,,,, +裂果漆,Toxicodendron griffithii,贵州队,2527,19600519,贵州省,1300,山坡密林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0440993.jpg,,,,,,,,,, +裂果漆,Toxicodendron griffithii,方文培,18177,19401103,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00019845.jpg,,,,,,,,,, +裂果漆,Toxicodendron griffithii,K.M.Feng,11043,1947/8/10,云南,1700,,乔木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0203745.jpg,,,,,,,,,, +,Toxicodendron hookeri,T.T.Yu,14865,19371210,四川省,2500,丛林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245505.jpg,,,,,,,,,, +小果大叶漆,Toxicodendron hookeri,俞德浚,19126,19380623,云南省 ,1800,among thickets,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0441003.jpg,,,,,,,,,, +,Toxicodendron hookeri,何钜忠,125,19580407,云南省,1450,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245508.jpg,,,,,,,,,, +,Toxicodendron hookeri var. microcarpum,T.T.Yu,14865,19371210,四川省,2500,丛林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245505.jpg,,,,,,,,,, +漆树属,Toxicodendron hookeri var. microcarpum,倪志诚 汪永泽 次多等,658,19800715,西藏,1650,山坡常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0004244.jpg,,,,,,,,,, +,Toxicodendron hookeri var. microcarpum,何钜忠,125,19580407,云南省,1450,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245508.jpg,,,,,,,,,, +野漆,Toxicodendron succedaneum,"李全喜,赵兴存",2299,19640715,甘肃省,1100,河旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245782.jpg,,,,,,,,,, +野漆,Toxicodendron succedaneum,贵州队 张志松 张永田,5933,19600701,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02245610.jpg,,,,,,,,,, +野漆,Toxicodendron succedaneum,Y.Yabe,,19080720,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02244969.jpg,,,,,,,,,, +漆,Toxicodendron vernicifluum,李培元,4321,1959/7/29,四川,2100,,乔木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0135546.jpg,,,,,,,,,, +漆树,Toxicodendron vernicifluum,赵万义,张记军,许可旺,丁巧玲,张信坚,,LXP-13-18794,20160529,江西省吉安市,,山顶、腐殖土、疏林,路旁,阳处、偶见种,陆生、乔木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00182290.jpg,,,,,,,,,, +漆,Toxicodendron vernicifluum,T.P.Wang,3953,1935/9/30,山西,1700,,tree,有花无果,https://image.cvh.ac.cn/files/l/WUK/0008779.jpg,,,,,,,,,, +小果绒毛漆,Toxicodendron wallichii,贵州队,2527,1960/5/19,贵州,1300,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0226597.jpg,,,,,,,,,, +小果绒毛漆,Toxicodendron wallichii,,s.n.,19070000,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01249749.jpg,,,,,,,,,, +小果绒毛漆,Toxicodendron wallichii,荔浦县普查队,450331170713018LY,20170713,广西,222,灌丛,路旁,黄棕壤,一般野生,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00416002.jpg,,,,,,,,,, +小果绒毛漆,Toxicodendron wallichii var. microcarpum,郭永杰;张桥蓉;秦少发;张凤琼,16CS14529,20161121,西藏,1197,公路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1480851.jpg,,,,,,,,,, +小果绒毛漆,Toxicodendron wallichii var. microcarpum,贵州队,2527,1960/5/19,贵州,1300,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0226597.jpg,,,,,,,,,, +小果绒毛漆,Toxicodendron wallichii var. microcarpum,"李丙贵,万绍宾",750215,19750710,湖南省,1650,山地山顶密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01249746.jpg,,,,,,,,,, +,Toxicopueraria peduncularis,,,,,,,,,,,,,,,,,,, +虱子草,Tragus berteronianus,路,张,刘,882,19900900,北京,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00058916.jpg,,,,,,,,,, +,Tragus berteronianus,王献浦,20384,19520831,江苏省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01567060.jpg,,,,,,,,,, +虱子草,Tragus berteronianus,康木生,171,19580707,辽宁,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00002238.jpg,,,,,,,,,, +四角刻叶菱,Trapa incisa,徐粹新,73,1984.4.2,河南省,670,,,有花无果,https://image.cvh.ac.cn/files/l/HENU/1003149.jpg,,,,,,,,,, +四角刻叶菱,Trapa incisa,关克俭,5970,19580718,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114295.jpg,,,,,,,,,, +野菱,Trapa incisa,H.Migo,,19410623,安徽省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00073165.jpg,,,,,,,,,, +狭叶山黄麻,Trema angustifolia,庸林,84299,19840723,湖南,670,荒地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/601275.jpg,,,,,,,,,, +狭叶山黄麻,Trema angustifolia,E.W.Wood,4577,19800511,Tennessee,400,Streamside forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/603446.jpg,,,,,,,,,, +狭叶山黄麻,Trema angustifolia,T.Shimizu,22345,19630825,台湾省,700~600,west of Yuchih,,有花无果,https://image.cvh.ac.cn/files/l/KUN/601506.jpg,,,,,,,,,, +羽脉山黄麻,Trema levigata,李小杰,LiXJ927,20180902,四川,528,路边荒地,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1451676.jpg,,,,,,,,,, +羽脉山黄麻,Trema levigata,毛品一,2013,19521212,云南省 ,1500,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0334585.jpg,,,,,,,,,, +羽脉山黄麻(麻椰树),Trema levigata,"陈伟烈,陈家瑞,郭柯等",5602,19840527,四川省,1200,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043870.jpg,,,,,,,,,, +异色山黄麻,Trema orientalis,H.J.Beentje,656,19750804,,5,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01942378.jpg,,,,,,,,,, +异色山黄麻,Trema orientalis,刘建红,7262A,20050529,湖南省,380,丘陵 山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602241.jpg,,,,,,,,,, +异色山麻黄,Trema orientalis,胡,830,19790510,四川,1900,溪涧,灌木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM702000055.jpg,,,,,,,,,, +山黄麻,Trema tomentosa,"Tsang,Wai-Tak",16920,19280501,海南省,,Growing in forest on a plain,,有花无果,https://image.cvh.ac.cn/files/l/PE/00677858.jpg,,,,,,,,,, +山黄麻,Trema tomentosa,侯元同,郭成勇,侯元兔,曹灵杰,20180426126,20180427,海南,220,湿草地,乔木,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0047943.jpg,,,,,,,,,, +山黄麻,Trema tomentosa,刘冰,546,20061028,广西壮族自治区,928,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01984629.jpg,,,,,,,,,, +,Trevia nudiflora,"刘成, 胡枭剑, 李昌洪",18CS17553,20180710,云南,1195,公路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484251.jpg,,,,,,,,,, +,Triadica cochinchinensis,"唐国旺, 杨辛霖, 彭锁浩, 冼嘉信",TangGW017,20191104,广东,8,亚热带季风阔叶林路边草地,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483406.jpg,,,,,,,,,, +,Triadica cochinchinensis,于胜祥,YSX0233,20100826,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239727.jpg,,,,,,,,,, +,Triadica cochinchinensis,09大围山实习队,906867,20090613,湖南省,500~800,山地疏林山谷溪边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02239732.jpg,,,,,,,,,, +蒺藜,Tribulus terrestris,,1951,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0225497.jpg,,,,,,,,,, +蒺藜,Tribulus terrestris,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1437-3148,20190811,甘肃,1569,山坡草地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1474492.jpg,,,,,,,,,, +蒺藜,Tribulus terrestris,Albert N. Steward,3124,19330727,福建省,,On sand bar,,有花有果,https://image.cvh.ac.cn/files/l/PE/00973088.jpg,,,,,,,,,, +蛇瓜,Trichosanthes anguina,梁向日,67253,19351119,广西壮族自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0209169.jpg,,,,,,,,,, +蛇瓜,Trichosanthes anguina,T.P.Wang,8492,1938/8/4,四川,800,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0418173.jpg,,,,,,,,,, +蛇瓜,Trichosanthes anguina, 吴金清,2693,19960620,湖北省,1100,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0145368.jpg,,,,,,,,,, +心叶栝楼,Trichosanthes cordata,科考队,1666,19740807,西藏自治区,,常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01199112.jpg,,,,,,,,,, +,Trichosanthes costata,,,,,,,,,,,,,,,,,,, +瓜叶栝楼,Trichosanthes cucumerina,吕清华,3282,19590627,广西壮族自治区,0,山地,水旁,山谷,疏林,沙土,藤本草质,有花无果,https://image.cvh.ac.cn/files/l/KUN/0553487.jpg,,,,,,,,,, +瓜叶栝楼,Trichosanthes cucumerina,Shiu Ying Hu,8796,19691118,香港,,Vine over shrub,,无花有果,https://image.cvh.ac.cn/files/l/PE/01199114.jpg,,,,,,,,,, +瓜叶栝楼,Trichosanthes cucumerina,,6487,19750812,,500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01619992.jpg,,,,,,,,,, +王瓜,Trichosanthes cucumeroides,"李明生,李振宇",4863,19860629,福建省,300,山坡路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02010523.jpg,,,,,,,,,, +王瓜,Trichosanthes cucumeroides,"赵常明,葛结林,谭福",EX2313,20090730,湖北省,500,阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868512.jpg,,,,,,,,,, +王瓜,Trichosanthes cucumeroides,张智,75,19850911,安徽省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01670922.jpg,,,,,,,,,, +波叶栝楼,Trichosanthes cucumeroides var. dicoelosperma,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11855,20161112,西藏,758,路边灌草丛,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444937.jpg,,,,,,,,,, +波叶栝楼,Trichosanthes cucumeroides var. dicoelosperma,考察队,32277,19820520,云南省,790,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01648462.jpg,,,,,,,,,, +波叶栝楼,Trichosanthes cucumeroides var. dicoelosperma,科考队,1671,19740807,西藏自治区,1180~800,常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01199224.jpg,,,,,,,,,, +,Trichosanthes dioica,U.C.Bhattacharyya,39337,19690827,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0209280.jpg,,,,,,,,,, +糙点栝楼 ,Trichosanthes dunniana,沐川队,423,19790723,四川,1000,,藤本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719000095.jpg,,,,,,,,,, +糙点栝楼,Trichosanthes dunniana,于子文,522325190716607LY,20190716,贵州,1275,灌丛、中生、阳性、中温、野生酸性土植物,藤本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0095568.jpg,,,,,,,,,, +糙点栝楼,Trichosanthes dunniana,梁宝汉,85267,19400000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0209293.jpg,,,,,,,,,, +马干铃栝楼,Trichosanthes lepiniana,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,1527,20130512,西藏,,路边灌丛中,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230332.jpg,,,,,,,,,, +马干铃栝楼,Trichosanthes lepiniana,B.Bartholomew,1594,19840508,,1800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01672011.jpg,,,,,,,,,, +马干铃栝楼,Trichosanthes lepiniana,冯国楣,20751,19550506,江西省,540,平原,灌木丛中,无荫,草本缠绕,无花有果,https://image.cvh.ac.cn/files/l/KUN/0553606.jpg,,,,,,,,,, +五角栝楼,Trichosanthes quinquangulata,税玉民,703,19921023,云南省,550,山沟次生林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01670961.jpg,,,,,,,,,, +五角栝楼,Trichosanthes quinquangulata,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14448,20161115,西藏,1464,常绿阔叶林,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1455750.jpg,,,,,,,,,, +五角栝楼,Trichosanthes quinquangulata,F.A.McClure,7628,19211014,海南省,,,vine,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00273999.jpg,,,,,,,,,, +红花栝楼,Trichosanthes rubriflos,北京队,896927,19890909,广西壮族自治区,500,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016927.jpg,,,,,,,,,, +,Trichosanthes rubriflos,,ALSZY097,,云南,1300,,木质藤本,,https://image.cvh.ac.cn/files/l/KUN/1250400.jpg,,,,,,,,,, +红花栝楼,Trichosanthes rubriflos,贵州队,7235,1960/7/25,贵州,,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0224862.jpg,,,,,,,,,, +,Trichosanthes smilacifolia,K. M. Feng,13540,1947/11/22,,1200~1500,,,,https://image.cvh.ac.cn/files/l/HUH/A00261130.jpg,,,,,,,,,, +菝葜叶栝楼,Trichosanthes smilacifolia,,s.n.,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01671194.jpg,,,,,,,,,, +菝葜叶栝楼,Trichosanthes smilacifolia,"刘成, 亚吉东",18CS17243,20181122,西藏,689,箐沟边林缘,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484755.jpg,,,,,,,,,, +方籽栝楼,Trichosanthes tetragonosperma,"朱鑫鑫,王君,肖波,赵权龙",ZXX19011,20190102,云南,1065,热带季雨林,林中,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1439227.jpg,,,,,,,,,, +方籽栝楼,Trichosanthes tetragonosperma,C.W.Wang,83810,19400614,云南省,1300,dense woods,Climbing,无花有果,https://image.cvh.ac.cn/files/l/PE/01671196.jpg,,,,,,,,,, +三尖栝楼,Trichosanthes tricuspidata,辛景三,1037,1957/9/18,云南,1200,,藤本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0206596.jpg,,,,,,,,,, +三尖栝楼,Trichosanthes tricuspidata,George Forrest,25077,19240900,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01199688.jpg,,,,,,,,,, +三尖栝楼,Trichosanthes tricuspidata,李荫昆,400911,19580805,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00116604.jpg,,,,,,,,,, +截叶栝楼,Trichosanthes truncata,红水河植物考察队,341,19890502,广西壮族自治区,1100,山谷、山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016926.jpg,,,,,,,,,, +截叶栝楼,Trichosanthes truncata,李荫昆,400233,1958/6/9,广西,810,,藤本攀援,有花无果,https://image.cvh.ac.cn/files/l/WUK/0183540.jpg,,,,,,,,,, +截叶栝楼,Trichosanthes truncata,"苏野植资调查队,南林句容调查队",5890,1958/7/25,江苏,,,藤本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0210281.jpg,,,,,,,,,, +薄叶栝楼,Trichosanthes wallichiana,王启无,77352,19360700,云南省 ,1900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0209854.jpg,,,,,,,,,, +,Trichosanthes wallichiana,谢雄,XPALSC261,20090401,云南,2100,房屋旁,攀援草本,,https://image.cvh.ac.cn/files/l/KUN/1250420.jpg,,,,,,,,,, +薄叶栝楼,Trichosanthes wallichiana,环江县普查队,451226130602027LY,20130602,广西,454,阔叶林,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0112520.jpg,,,,,,,,,, +红车轴草,Trifolium pratense,Rebekah Mohn,9-28-14-20,20141028,,,growing in a somewhat natural area in the front yard for the Woedls House along with the gravel drive way,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044989.jpg,,,,,,,,,, +白车轴草,Trifolium repens,PE西藏考察队,7485,20180617,,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333730.jpg,,,,,,,,,, +,Trigonella cachemiriana,PE西藏考察队,7924,20180626,,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333804.jpg,,,,,,,,,, +,Trigonella emodi,PE西藏考察队,7710,20180623,,4175,流石滩,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333797.jpg,,,,,,,,,, +,Trigonella fimbriata,张永田,郎楷永,3832,19660611,,3750,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0624188.jpg,,,,,,,,,, +胡卢巴,Trigonella foenum-graecum,,s.n.,19250717,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01723673.jpg,,,,,,,,,, +,Trigonella gracilis,T.N.Liou,5690,19321022,,512,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00498842.jpg,,,,,,,,,, +三角草,Trikeraia hookeri,"李渤生,李辉",13972A,19900926,西藏自治区,4400,河滩 山坡 优势种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506708.jpg,,,,,,,,,, +三角草,Trikeraia hookeri,,29171,19820811,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718279.jpg,,,,,,,,,, +三角草,Trikeraia hookeri,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201667,20200811,西藏,4166,湿地中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1508472.jpg,,,,,,,,,, +展穗三角草,Trikeraia hookeri var. ramosa,西藏考察队,4227,19740824,西藏自治区,4600,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/88836.jpg,,,,,,,,,, +展穗三角草,Trikeraia hookeri var. ramosa,不详,?,19??????,青海省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/33951.jpg,,,,,,,,,, +展穗三角草,Trikeraia hookeri var. ramosa,郭本兆,5728,1964/8/7,甘肃,2800,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0231206.jpg,,,,,,,,,, +草沙蚕,Tripogon bromoides,杨永昌,1543,19650826,青海省,3700,干旱山坡阳坡干旱石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01484165.jpg,,,,,,,,,, +草沙蚕,Tripogon bromoides,四川省植被调查队,4156,19731005,四川省,3250,干燥向阳山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718345.jpg,,,,,,,,,, +草沙蚕,Tripogon bromoides,张襄明,424,19880909,陕西省,1075,,,无花有果,https://image.cvh.ac.cn/files/l/IFP/15815999w0001.jpg,,,,,,,,,, +中华草沙蚕,Tripogon chinensis,黄河队,8811,19560920,甘肃省,2200,山坡阳处岩石山,,有花有果,https://image.cvh.ac.cn/files/l/PE/02094284.jpg,,,,,,,,,, +中华草沙蚕,Tripogon chinensis,"徐养鹏,于兆英",2055,1981/8/27,宁夏,1300,,一年生草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0448512.jpg,,,,,,,,,, +中华草沙蚕,Tripogon chinensis,K.S.Hao,4194,1932/8/8,陕西; SHENSI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00015187.jpg,,,,,,,,,, +线形草沙蚕,Tripogon filiformis,,46,20180731,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0020526.jpg,,,,,,,,,, +小草沙蚕,Tripogon filiformis,鞠文彬,郑臣臣,THP-KD-6716,20170818,四川,3629,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0256026.jpg,,,,,,,,,, +线叶草沙蚕,Tripogon filiformis,傅坤俊,5597,19520831,陕西省,700,山坡石岩上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718519.jpg,,,,,,,,,, +丽藕草沙蚕,Tripogon liouae,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20466,20200617,西藏,3684,荒地上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507952.jpg,,,,,,,,,, +玫瑰紫草沙蚕,Tripogon purpurascens,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201623,20200809,西藏,4206,干旱山坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1553069.jpg,,,,,,,,,, +玫瑰紫草沙蚕,Tripogon purpurascens,西藏综考队,1732,19610830,西藏自治区,4050,北面小孤山山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718579.jpg,,,,,,,,,, +玫瑰紫草沙蚕,Tripogon purpurascens,黄河调查队,7928,19560909,甘肃省,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/55506.jpg,,,,,,,,,, +,Tripogon rupestris,,,,,,,,,,,,,,,,,,, +,Tripogon trifidus,青藏队,4571,19810811,四川省,3500,山沟林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718602.jpg,,,,,,,,,, +,Tripogon trifidus,青藏队,9888,19820903,云南省,1900~2100,山坡路边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718606.jpg,,,,,,,,,, +,Tripogon trifidus,青藏队补点组,751759,19750828,西藏自治区,2600,林间空地碎石堆,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718608.jpg,,,,,,,,,, +,Tripogon wardii,,,,,,,,,,,,,,,,,,, +长穗三毛草,Trisetum clarkei,郝纪鹤,,1945,甘肃,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00631455.jpg,,,,,,,,,, +长穗三毛草,Trisetum clarkei,"张经炜,孙世洲",30,19720812,青海省,3750,祁连山南侧前山,海塔尔沟西南坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01484606.jpg,,,,,,,,,, +长穗三毛草,Trisetum clarkei,新疆队,137,19740702,新疆维吾尔自治区 ,1900,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/44475.jpg,,,,,,,,,, +,Trisetum micans,童浩华,145,19850909,西藏自治区,4927,高寒山地山口石砾山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718831.jpg,,,,,,,,,, +,Trisetum micans,,7307,19740705,四川省,4300,向阳草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00718828.jpg,,,,,,,,,, +穗三毛,Trisetum spicatum,杨青松,杨莹,黄永江,翟艳红,于文涛,ZhouZK-07ZX-0204,20080813,云南,3329,山脚草坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1404823.jpg,,,,,,,,,, +大花穗三毛,Trisetum spicatum,M.Tamura etc.,20823,1963,台湾,3300~3000,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/380264.jpg,,,,,,,,,, +穗三毛,Trisetum spicatum,T.P.Wang,1831,19330805,陕西省,3500,weedy place,,有花有果,https://image.cvh.ac.cn/files/l/PE/00719011.jpg,,,,,,,,,, +,Trisetum spicatum subsp. alaskanum,"张永田,郞楷永",2435,19650901,西藏自治区,5200,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00719262.jpg,,,,,,,,,, +大花穗三毛,Trisetum spicatum subsp. alaskanum,杨永平,段元文,边巴扎西,YangYP-Q-1005,20080906,西藏,4653,河滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1404828.jpg,,,,,,,,,, +蒙古穗三毛,Trisetum spicatum subsp. mongolicum,张中原,71556,20070725,贵州省,1020,河边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0013938.jpg,,,,,,,,,, +蒙古穗三毛,Trisetum spicatum subsp. mongolicum,C.W.Wang,64890,1935/08/,云南,3000,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0034751.jpg,,,,,,,,,, +蒙古穗三毛,Trisetum spicatum subsp. mongolicum,冯虎元,LiuJQ-08KLS-127,20080910,青海,4666,高寒草原,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1404833.jpg,,,,,,,,,, +西藏三毛草,Trisetum spicatum subsp. tibeticum,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,5-44,20180813,西藏,5077.1,湖岸湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0193496.jpg,,,,,,,,,, +,Trisetum spicatum subsp. virescens,张新时等,天山-163,19860731,新疆维吾尔自治区,,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01805904.jpg,,,,,,,,,, +穗三毛,Trisetum spicatum subsp. virescens,西植新疆队,1054,1978/7/5,新疆,3800,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0333893.jpg,,,,,,,,,, +喜马拉雅穗三毛,Trisetum spicatum subsp. virescens,路端正,,20010818,西藏,4700,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00002282.jpg,,,,,,,,,, +普通小麦,Triticum aestivum,黄河队,5611,1956/7/7,宁夏,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0086163.jpg,,,,,,,,,, +,Triticum aestivum,,长宁0258,19600622,陕西省,1250,田内栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/01951106.jpg,,,,,,,,,, +普通小麦,Triticum aestivum,郭永杰、亚吉东、李小杰、韩杰,14CS8212,20140412,云南,1834,公路边,田边,二年生草本,,https://image.cvh.ac.cn/files/l/KUN/1404837.jpg,,,,,,,,,, +昆栏树,Trochodendron aralioides,C. W. Wang,88016,19400321,云南省 ,,rocky hill,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00366991.jpg,,,,,,,,,, +昆栏树,Trochodendron aralioides,杨光辉,54246,19570426,四川省,1200,乔木,,有果无花,https://image.cvh.ac.cn/files/l/KUN/822588.jpg,,,,,,,,,, +昆栏树,Trochodendron aralioides,毕节队,1068,19590818,贵州,2000,山谷,,有果无花,https://image.cvh.ac.cn/files/l/KUN/45229.jpg,,,,,,,,,, +矮金莲花,Trollius farreri,黄河调查队,1489,19560000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467008.jpg,,,,,,,,,, +大叶矮金莲花,Trollius farreri,C.W.Wang,68845,19350800,云南省 ,3700,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00051644.jpg,,,,,,,,,, +矮金莲花,Trollius farreri,顾垒,张羽,GaoXF-10ZX-1920,20100919,四川,3600,高山草甸,,果标本,https://image.cvh.ac.cn/files/l/KUN/1233209.jpg,,,,,,,,,, +金莲花属,Trollius farreri var. major,西藏生物所植物资源队,3364,19830726,西藏,4300,湖滨灌丛林缘,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001549.jpg,,,,,,,,,, +大叶矮金莲花,Trollius farreri var. major,洪德元等,H97127,19970604,云南,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814252.jpg,,,,,,,,,, +,Trollius farreri var. major,C. W. Wang,64979,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00105926.jpg,,,,,,,,,, +青藏金莲花,Trollius pumilus,J.F.Rock,13988,1926-05-,西藏省,1050,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0090900.jpg,,,,,,,,,, +小金莲花,Trollius pumilus,张林、李星月、张晓严,8月1日,20180610,西藏,4312,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023607.jpg,,,,,,,,,, +青藏金莲花,Trollius pumilus,李林华,3.40E+14,20120422,安徽省,,竹木林荫下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01981467.jpg,,,,,,,,,, +青藏金莲花,Trollius pumilus var. tanguticus,T.P.Wang,4744,19360701,甘肃省,3000,in marshy weedy plain,,有花无果,https://image.cvh.ac.cn/files/l/PE/00467139.jpg,,,,,,,,,, +青藏金莲花,Trollius pumilus var. tanguticus,"郎楷永,李良千,费勇",2007,19830625,四川省,3300,高山草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01494185.jpg,,,,,,,,,, +青藏金莲花,Trollius pumilus var. tanguticus,Tso-Pin Wang,4705,,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0090899.jpg,,,,,,,,,, +硬毛山香圆,Turpinia affinis,Ho-Chang Chow,2004,19341120,湖北省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01613572.jpg,,,,,,,,,, +硬毛山香圆,Turpinia affinis,陈功锡,张代贵,LXP-06-3574,20150531,江西省,319,灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU13026.jpg,,,,,,,,,, +硬毛山香圆,Turpinia affinis,"周洪富,粟和毅",1.05E+11,19640419,四川省,900,路旁林边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228206.jpg,,,,,,,,,, +越南山香圆,Turpinia cochinchinensis,李洪钧,7125,1958/8/21,湖北,700,,乔木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0198192.jpg,,,,,,,,,, +越南山香圆,Turpinia cochinchinensis,陈少卿,12396,19570508,广西壮族自治区,350,丘陵山谷密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02228187.jpg,,,,,,,,,, +越南山香圆,Turpinia cochinchinensis,T.N.Liou &C.Wang,1317,1939/10/4,四川,,,tree,有花有果,https://image.cvh.ac.cn/files/l/WUK/0063630.jpg,,,,,,,,,, +山香圆,Turpinia montana,钟补勤,1375,19290306,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228280.jpg,,,,,,,,,, +山香圆,Turpinia montana,钟补勤,680,19270528,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02228405.jpg,,,,,,,,,, +山香圆,Turpinia montana,T.N.Liou,10400,19381020,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02228390.jpg,,,,,,,,,, +三叶山香圆,Turpinia ternata,黄雅怡等,298,20010328,台湾省,550,Broadleaf forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01613810.jpg,,,,,,,,,, +三叶山香圆,Turpinia ternata,S.Saito,2639,19290529,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01380563.jpg,,,,,,,,,, +,Turpinia ternata,C.M.Wang,3955,19990326,台湾,,Roadsie,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00612658.jpg,,,,,,,,,, +毛枝榆,Ulmus androssowii var. subhirsuta,,1517,0,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/793717.jpg,,,,,,,,,, +毛枝榆,Ulmus androssowii var. subhirsuta,王作宾,18695,19630331,陕西省,1100,山沟中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/601554.jpg,,,,,,,,,, +毛枝榆,Ulmus androssowii var. subhirsuta,黔南队,1557,19590523,贵州省,600,山谷,,有花有果,https://image.cvh.ac.cn/files/l/KUN/603417.jpg,,,,,,,,,, +兴山榆,Ulmus bergmanniana,江西调查队,1305,19540915,江西省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01567897.jpg,,,,,,,,,, +兴山榆,Ulmus bergmanniana,邓,袁,张,2574,19560910,江苏省,0,溪水边,,有果无花,https://image.cvh.ac.cn/files/l/KUN/601373.jpg,,,,,,,,,, +兴山榆,Ulmus bergmanniana,黄河调查队,2024,19550704,山西省,1590,丘陵,,无花无果,https://image.cvh.ac.cn/files/l/PE/01583918.jpg,,,,,,,,,, +蜀榆,Ulmus bergmanniana var. lasiophylla,王作宾,11941,19390800,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0115412.jpg,,,,,,,,,, +蜀榆,Ulmus bergmanniana var. lasiophylla,罗密,20090542,20090610,贵州省,1058,路边,,无花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0012214.jpg,,,,,,,,,, +蜀榆,Ulmus bergmanniana var. lasiophylla,李莉,20161104017,20161104,江西,,,,无花无果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0008645.jpg,,,,,,,,,, +常绿榆,Ulmus lanceifolia,黄俞淞、盘波等,LYJX0016,20100908,广西壮族自治区,650,山地,石灰岩山坡,,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0096308.jpg,,,,,,,,,, +常绿榆,Ulmus lanceifolia,"刘恩德, 肖波",7876,20090603,云南,1800,In forest,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1495106.jpg,,,,,,,,,, +,Ulmus lanceifolia,H.H.Haines,1054,19050203,,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/037461.jpg,,,,,,,,,, +家榆,Ulmus pumila,延边二组,334,19590825,吉林,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/JLSLKY/JLSLKY03488.jpg,,,,,,,,,, +垂枝榆,Ulmus pumila,侯学煜,11525,19500916,吉林省,100,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01552644.jpg,,,,,,,,,, +垂枝榆,Ulmus pumila,,64,19580612,宁夏回族自治区,,山沟内,,无花无果,https://image.cvh.ac.cn/files/l/PE/00679296.jpg,,,,,,,,,, +,Uraria clarkei,T.T.Yu,18201,19381113,,1450,Among thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/00318636.jpg,,,,,,,,,, +,Uraria crinita,Miyoshi Furuse,124,19720629,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01932213.jpg,,,,,,,,,, +狸尾豆属,Uraria lacei,G.Forrest,8851,19120800,湖南省,2000,Dry stony pasture,,有花无果,https://image.cvh.ac.cn/files/l/PE/00318721.jpg,,,,,,,,,, +狸尾豆属,Uraria lacei,北京青年队,801,19860815,广西壮族自治区,270,乌鸦山坡沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00318944.jpg,,,,,,,,,, +滇南狸尾豆,Uraria lacei,刘景欣,795,20090927,云南,1087,成熟玉米田,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029298.jpg,,,,,,,,,, +,Uraria lagopus,殷建涛,1855,20101015,云南,700,无,草本,有花无果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030221.jpg,,,,,,,,,, +长圆叶山蚂蝗,Uraria oblonga,"刘恩德,刘振稳,邹娇|,王存花,陈志坚",LED10246,20201208,云南,1109,林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1510642.jpg,,,,,,,,,, +,Uraria rufescens,"H.Ohashi,C.J.Chen等",8127,,海南省,120,On rather wet clayey slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/01879546.jpg,,,,,,,,,, +钩柄狸尾豆,Uraria rufescens,贵州队张志松、张永田,8833,19600828,贵州省,1100,树林边,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00303714.jpg,,,,,,,,,, +钩柄狸尾草,Uraria rufescens,刘景欣,288,20081018,云南,665,森林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029287.jpg,,,,,,,,,, +,Urtica dioica,安顺队,1878,19590918,贵州省,1300,山脚草地路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01821121.jpg,,,,,,,,,, +异株荨麻,Urtica dioica,蔡希陶,55102,,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0167151.jpg,,,,,,,,,, +异株荨麻,Urtica dioica,"罗达尚,左振常等",801429,19800807,青海省,3640,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00509268.jpg,,,,,,,,,, +尾尖异株荨麻,Urtica dioica subsp. afghanica,朱格麟,6925,19640819,新疆维吾尔自治区 ,1150,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0377417.jpg,,,,,,,,,, +尾尖异株荨麻,Urtica dioica subsp. afghanica,"田先华,田陌,张峰",TianXH211,20110715,陕西省,1534,落叶阔叶林,,,https://image.cvh.ac.cn/files/l/KUN/1277732.jpg,,,,,,,,,, +尾尖异株荨麻,Urtica dioica subsp. afghanica,周太炎,651036,19650718,新疆维吾尔自治区,1750,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0377415.jpg,,,,,,,,,, +荨麻,Urtica fissa,,T.1420,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00564599.jpg,,,,,,,,,, +荨麻,Urtica fissa,徐养鹏,2051,19720828,陕西省,,水旁河旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00509348.jpg,,,,,,,,,, +荨麻,Urtica fissa,赵津,201609003,20160628,山西,,,,有花无果,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0007516.jpg,,,,,,,,,, +高原荨麻,Urtica hyperborea,"李渤生,郑度,张百明",11112,19870820,新疆维吾尔自治区,4980,河边石灰岩山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01341547.jpg,,,,,,,,,, +高原荨麻,Urtica hyperborea,,84-A-306,1.98407e,新疆维吾尔自治区 ,4300,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00002359.jpg,,,,,,,,,, +高原荨麻,Urtica hyperborea,陈伟烈等,7110,19840701,四川省,4100,沟谷阳处草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804691.jpg,,,,,,,,,, +宽叶荨麻,Urtica laetevirens,邓云飞,10740,19970502,湖南省,520,山谷路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846721.jpg,,,,,,,,,, +宽叶荨麻,Urtica laetevirens,路端正,,19920607,山西,1400,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00041945.jpg,,,,,,,,,, +宽叶荨麻,Urtica laetevirens,李雄、邓创发、李健玲,19061132,20190611,湖南,1000-1300,林缘,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI070475.jpg,,,,,,,,,, +滇藏荨麻,Urtica mairei,余奇、熊先华、李琳霖,THP-KD-3955,20170809,四川,2566~2605,小河沟,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243576.jpg,,,,,,,,,, +荨麻属,Urtica mairei,倪志诚 次多 次旦,3106,19820822,西藏,2900,村寨边,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0001051.jpg,,,,,,,,,, +滇藏荨麻,Urtica mairei,H.Ohashi et al.,12819,19821020,台湾省,1500~1800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00705043.jpg,,,,,,,,,, +膜叶荨麻,Urtica membranifolia,青藏队补点组,750635,19750716,西藏自治区,2710,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00509582.jpg,,,,,,,,,, +膜叶荨麻,Urtica membranifolia,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201481,20200804,西藏,2599,溪边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509389.jpg,,,,,,,,,, +羽裂荨麻,Urtica triangularis subsp. pinnatifida,陈伟烈等,7312,19840706,四川省,3400,河谷云杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804698.jpg,,,,,,,,,, +羽裂荨麻,Urtica triangularis subsp. pinnatifida,陈家瑞,92346,19920927,西藏自治区,3100,河滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/00565230.jpg,,,,,,,,,, +羽裂荨麻,Urtica triangularis subsp. pinnatifida,青藏队,2247,19810708,云南省,2700~2800,耕地边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00509650.jpg,,,,,,,,,, +欧荨麻,Urtica urens,青藏队,74-2424,19740913,西藏自治区,2900,路边草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00509709.jpg,,,,,,,,,, +欧荨麻,Urtica urens,路端正,212,19900800,黑龙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00041955.jpg,,,,,,,,,, +欧荨麻,Urtica urens,Richard R.Halse,8151,20110322,,41,weedy roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026714.jpg,,,,,,,,,, +细齿翼核果,Ventilago denticulata,梁健英,100670,19840304,广西壮族自治区,,山谷,密林,沙土分布:普遍,藤状灌木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00358721.jpg,,,,,,,,,, +,Ventilago madraspatana,,,,,,,,,,,,,,,,,,, +,Vernicia fordii,陇西山考察队,1677,19910626,福建省,370~500,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01548442.jpg,,,,,,,,,, +,Vernicia fordii,白水江采集队,3524,20070425,甘肃省,821,山谷 沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827890.jpg,,,,,,,,,, +,Vernicia fordii,,1001,19170425,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01111329.jpg,,,,,,,,,, +山野豌豆,Vicia amoena,左忠 ;左伟;马静利,ZuoZh502,20190914,宁夏,1975,温带干草原次生林,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1552341.jpg,,,,,,,,,, +狭叶山野豌豆,Vicia amoena,曹伟,CaoW5652,20140807,黑龙江省大庆市,149,草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0240748.jpg,,,,,,,,,, +山野豌豆,Vicia amoena,安顺队,1588,19590925,贵州省,1500,山后,,无花有果,https://image.cvh.ac.cn/files/l/PE/00319548.jpg,,,,,,,,,, +,Vicia angustifolia,BNU,LPS007,20120726,宁夏,2288,,草本,,https://image.cvh.ac.cn/files/l/BNU/0016385.jpg,,,,,,,,,, +窄叶野豌豆,Vicia angustifolia,K.M.Liou,L.4341,19350617,河南省,410,Lieux sablonneux,,无花有果,https://image.cvh.ac.cn/files/l/PE/00319382.jpg,,,,,,,,,, +紫花苕子,Vicia angustifolia,刘永英,0.003,2000.4,河南,80,,,有花无果,https://image.cvh.ac.cn/files/l/HENU/1009742.jpg,,,,,,,,,, +,Vicia bakeri,胡君、王东超、李丽、唐露,SC-a-093-B18,20180817,四川,3417,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261087.jpg,,,,,,,,,, +,Vicia bakeri,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-151-B14,20190825,西藏,3505,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261110.jpg,,,,,,,,,, +大花野豌豆,Vicia bungei,刘淼等,A100184,20050519,安徽省,200,生于麦地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01153923.jpg,,,,,,,,,, +大花野豌豆,Vicia bungei,C.Y.Wu,91,19500521,黑龙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00319412.jpg,,,,,,,,,, +大花野豌豆,Vicia bungei,"徐,邓,段",52,19650521,河南省,,柳丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00208821.jpg,,,,,,,,,, +,Vicia cracca,汪庆等,10063,20141000,江苏,,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00612257.jpg,,,,,,,,,, +广布野豌豆,Vicia cracca,黄迎新,851,20150727,黑龙江省齐齐哈尔市,161,草甸/低湿地草甸/黑钙土,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0229877.jpg,,,,,,,,,, +,Vicia cracca,,,1935,Chishima:,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00040435.jpg,,,,,,,,,, +蚕豆,Vicia faba,钟补求,5554,19521101,西藏自治区,,河滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/00209514.jpg,,,,,,,,,, +蚕豆,Vicia faba,,T. 7,,福建,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00040273.jpg,,,,,,,,,, +蚕豆,Vicia faba,宁夏药检所,南051,19730706,宁夏回族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00209515.jpg,,,,,,,,,, +小巢菜,Vicia hirsuta,,,19800605,山东省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00395471.jpg,,,,,,,,,, +小巢菜,Vicia hirsuta,白水江采集队,3625,20070427,甘肃,1074,河谷茶园,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826485.jpg,,,,,,,,,, +小巢菜,Vicia hirsuta,李思锋,黎斌,张莹 ,张瑞博等,13278,2010/5/23,陕西,755,山坡路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/527533.jpg,,,,,,,,,, +,Vicia lens,Courtois,35129,19240423,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00395259.jpg,,,,,,,,,, +,Vicia lens,Courtois,9809,19140602,安徽省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00395260.jpg,,,,,,,,,, +,Vicia megalotropis,白水江采集队,5387,20070527,甘肃,1850,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826582.jpg,,,,,,,,,, +,Vicia megalotropis,王文中,149,19550803,山西,2450,山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01812160.jpg,,,,,,,,,, +,Vicia megalotropis,白水江采集队,4090,20070504,甘肃省,1400,山坡干旱荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826587.jpg,,,,,,,,,, +多茎野豌豆,Vicia multicaulis,王正文、宋传涛、邸泽雷,王正文0774,20170726,内蒙古自治区呼伦贝尔市,677,沼泽地,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0234737.jpg,,,,,,,,,, +多茎野豌豆,Vicia multicaulis,,85,19780601,四川,650,,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM707206060.jpg,,,,,,,,,, +,Vicia multicaulis,山西队,539,19530809,山西省,,"草地,山坡,阳处",,无花有果,https://image.cvh.ac.cn/files/l/PE/00209819.jpg,,,,,,,,,, +救荒野碗豆,Vicia sativa,王明川,GZLD007,20151111,贵州,,草坡,草本,无花有果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0007448.jpg,,,,,,,,,, +救荒野豌豆,Vicia sativa,,,1917/4/4,浙江; CHEKIANG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00040335.jpg,,,,,,,,,, +救荒野豌豆,Vicia sativa,周太炎,1511,1949/3/17,上海,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0111003.jpg,,,,,,,,,, +,Vicia tibetica,"Ho Ting-nung,Bruce Bartholomew & Mike Gilbert",253,19930623,青海省,3500~3600,"Sabina forest on W facing slopes,alpine meadow along valley.",,有花无果,https://image.cvh.ac.cn/files/l/PE/00319499.jpg,,,,,,,,,, +,Vicia tibetica,胡君、王东超、李丽、唐露,SC-a-041-B28,20180708,四川,,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609243.jpg,,,,,,,,,, +,Vicia tibetica,,895,19590530,江苏省,3850,河阶石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00211520.jpg,,,,,,,,,, +歪头菜,Vicia unijuga,张粤、张淑梅、苏道岩、付伟、魏志文,XM407,20140918,内蒙古自治区通辽市,1016.3,草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0238402.jpg,,,,,,,,,, +歪头菜,Vicia unijuga,云台山采集队,1128,20090800,河南省,1000~1100,路边林下草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044906.jpg,,,,,,,,,, +歪头菜,Vicia unijuga,H.W. Kung,K. 255,1930/6/6,Chark'ar,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00040366.jpg,,,,,,,,,, +,Vigna aconitifolia,"蔡杰, 秦少发",15CS11381,20150925,云南,937,江边多石干燥山坡,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445019.jpg,,,,,,,,,, +乌头叶豆,Vigna aconitifolia,刘心祈,27943,19361001,海南省 ,0,,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0625366.jpg,,,,,,,,,, +乌头叶豇豆,Vigna aconitifolia,U.C.Bhaltacharyya,39145,19690901,,900,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0199114.jpg,,,,,,,,,, +赤豆,Vigna angularis,张代贵,22+1,20060831,湖南省,500,栽培,藤本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU14463.jpg,,,,,,,,,, +小豆,Vigna angularis,杨人俊,杨人俊B0217,19910910,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF005202.jpg,,,,,,,,,, +赤豆,Vigna angularis,林有润,83-69,19830928,山西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0199124.jpg,,,,,,,,,, +,Vigna clarkei,,,,,,,,,,,,,,,,,,, +,Vigna hirtella,"李渤生,程树志",3166,19821128,西藏自治区,1000,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495197.jpg,,,,,,,,,, +三裂叶豇豆,Vigna trilobata,赵清盛、吕发强,7946,1978-8 1,四川省,2000,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0062141.jpg,,,,,,,,,, +三裂叶豇豆,Vigna trilobata,Noriaki Fukuyama,1293,19400110,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00391930.jpg,,,,,,,,,, +三裂叶豇豆,Vigna trilobata,周建军,19072101,20190721,湖南,170,荒地,草质藤本,有花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI065501.jpg,,,,,,,,,, +,Vigna umbellata,Shiu Ying Hu,6167,19681115,广东省,,On slope behind bio.lab,,无花有果,https://image.cvh.ac.cn/files/l/PE/00319851.jpg,,,,,,,,,, +赤小豆,Vigna umbellata,刘正宇、张军等,RQHZ06545-01,20140910,重庆,602,荒地,草本,有花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0082373.jpg,,,,,,,,,, +赤小豆,Vigna umbellata,郭惠珠,蔡邦平,陈小辉,3472,20131108,福建,,灌丛中,藤本,有花有果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0005807.jpg,,,,,,,,,, +,Vigna unguiculata,中德队,419,19560814,吉林省,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/00319744.jpg,,,,,,,,,, +,Vigna unguiculata,"McClure,F.A",20594,19361012,广西壮族自治区,300,Fairly common cultivatedon moiat level loany land in field,,无花有果,https://image.cvh.ac.cn/files/l/PE/00319786.jpg,,,,,,,,,, +,Vigna unguiculata,包士英,1719,19590901,山西省,,"旱田中,沟底,潮湿地",,有花有果,https://image.cvh.ac.cn/files/l/PE/00319772.jpg,,,,,,,,,, +,Viola arcuata,陈又生,4191,20040617,重庆,2060~2250,grassland,,有花无果,https://image.cvh.ac.cn/files/l/PE/01819111.jpg,,,,,,,,,, +,Viola arcuata,"李启和,陈策",462,19590418,江西省,,山坡岩石上路边潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00069287.jpg,,,,,,,,,, +,Viola arcuata,Shiu Ying Hu,11499,19720218,香港,,"over moss,ababdoned field,swampy area",,有花有果,https://image.cvh.ac.cn/files/l/PE/00066605.jpg,,,,,,,,,, +,Viola belophylla,陈又生,4269B,20040713,云南省,1900,stream side sandy soils,,无花有果,https://image.cvh.ac.cn/files/l/PE/01820527.jpg,,,,,,,,,, +枪叶堇菜,Viola belophylla,蒋英,9123,1930-10-,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0138577.jpg,,,,,,,,,, +,Viola belophylla,"Delavay, J.M.",,1884-4-26,,,,,,https://image.cvh.ac.cn/files/l/P/P00432564.jpg,,,,,,,,,, +戟叶堇菜,Viola betonicifolia,"D.E.Boufford,B.D.Liu,,Z.Y.Xi,T.S.Ying & X.C.Zhang",26345,19940530,河南省,650~950,gravelly stream bed,,无花有果,https://image.cvh.ac.cn/files/l/PE/01893927.jpg,,,,,,,,,, +戟叶堇菜,Viola betonicifolia,安顺队,1590,19590924,贵州,1500,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820259.jpg,,,,,,,,,, +戟叶堇菜,Viola betonicifolia,张志英,18653,1982/8/26,山西省,750,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0433962.jpg,,,,,,,,,, +双花堇菜,Viola biflora,李馨,77505,19580527,重庆市,2980,山腰林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00067286.jpg,,,,,,,,,, +双花堇菜,Viola biflora,K.M.Liou,5212,19350817,河南省,1430,"bords des bois,tres ombrages,humides",,无花有果,https://image.cvh.ac.cn/files/l/PE/00077112.jpg,,,,,,,,,, +,Viola biflora,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-013-B12,20160803,四川,,高山栎群落中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609070.jpg,,,,,,,,,, +,Viola biflora var. rockiana,"蔡杰,郭永杰,刘恩德",13CS6931,20130602,西藏自治区,3474,杜鹃林林缘草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1331534.jpg,,,,,,,,,, +,Viola biflora var. rockiana,张正华等,707,19810726,云南,3700,草甸草场小沟旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01819076.jpg,,,,,,,,,, +,Viola biflora var. rockiana,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-009-B34,20160801,四川,,高山栎群落中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609081.jpg,,,,,,,,,, +,Viola bulbosa,郭淑青,杜品,LiuJQ-2012-GN-094,20120904,甘肃,2942,草甸、路边,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1236930.jpg,,,,,,,,,, +鳞茎堇菜,Viola bulbosa,张林、李星月、张晓严,5-205,20180614,西藏,4297,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023795.jpg,,,,,,,,,, +鳞茎堇菜,Viola bulbosa,白水江采集队,5033,20070519,甘肃省,2350,路边灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850063.jpg,,,,,,,,,, +阔紫叶堇菜,Viola cameleo,"杨亲二,陈又生,袁琼",52,20030819,云南,3500~4000,山坡草地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01819225.jpg,,,,,,,,,, +,Viola cameleo,"韩裕丰,邓坤梅,黄晓鹤",83-130,19830719,四川省,3400,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840235.jpg,,,,,,,,,, +阔紫叶堇菜,Viola cameleo,陈又生,4276,20040715,云南省,2800,Moist grassy slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840428.jpg,,,,,,,,,, +灰堇菜,Viola canescens,复旦大学,76372,19580828,福建省,,"混交林、山地, 中生",,,https://image.cvh.ac.cn/files/l/IBK/IBK00321886.jpg,,,,,,,,,, +灰堇菜,Viola canescens,K.Yao,1110,19890602,西藏自治区,,山坡林下,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00002251.jpg,,,,,,,,,, +灰堇菜,Viola canescens,方震东,W-7,20060318,云南,2200,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008507.jpg,,,,,,,,,, +深圆齿堇菜,Viola davidii,,8648,73.08.11,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00025521.jpg,,,,,,,,,, +深圆齿堇菜,Viola davidii,陈又生,4196,20040617,重庆,2065~2200,sparse forest humus soils,,无花有果,https://image.cvh.ac.cn/files/l/PE/01819331.jpg,,,,,,,,,, +深圆齿堇菜,Viola davidii,廖文波,JGS-1304014,20130420,江西省吉安市,,, ,,https://image.cvh.ac.cn/files/l/SYS/SYS00175325.jpg,,,,,,,,,, +,Viola delavayi,,,,昆明,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0004348.jpg,,,,,,,,,, +灰叶堇菜,Viola delavayi,谭沛祥,63535,19590714,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00016820.jpg,,,,,,,,,, +灰叶堇菜,Viola delavayi,"杨亲二,陈又生,袁琼",145,20030913,云南省,2500~3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840422.jpg,,,,,,,,,, +七星莲,Viola diffusa,北京队,896282,19890906,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01990988.jpg,,,,,,,,,, +七星莲,Viola diffusa,南川队,5001190256,20120621,重庆,1400,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0085301.jpg,,,,,,,,,, +七星莲,Viola diffusa,黄以仁,,19330504,河北省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00076577.jpg,,,,,,,,,, +裂叶堇菜,Viola dissecta,杨祥学,11209,1953-04-,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0139156.jpg,,,,,,,,,, +裂叶堇菜,Viola dissecta,李才贵,56,19840530,山西省,1800,灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081455.jpg,,,,,,,,,, +,Viola dissecta,张少华,张诏,王萍,程丹丹,辛晓伟,邵尉,徐泽,王宏运,Lilan568,20130710,山东,316,温带灌草丛,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1300896.jpg,,,,,,,,,, +长萼堇菜,Viola inconspicua,S.Suzuki,s.n.,19340802,台湾省,,"Mt.Taiha,inter Inoue et Sato",,无花有果,https://image.cvh.ac.cn/files/l/PE/00067916.jpg,,,,,,,,,, +长萼堇菜,Viola inconspicua,陈念劬,40228,1930-01-,香港,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0139404.jpg,,,,,,,,,, +长萼堇菜,Viola inconspicua,,Q13(6),19620914,广西壮族自治区,1500,草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01990995.jpg,,,,,,,,,, +西藏堇菜,Viola kunawarensis,"陈又生,袁慊",141445,20140810,新疆维吾尔自治区,2738,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038258.jpg,,,,,,,,,, +西藏堇菜,Viola kunawarensis,刘尚武,163,1965/7/6,青海省,4700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0261046.jpg,,,,,,,,,, +西藏堇菜,Viola kunawarensis,唐忠炳,161003065,20161003,江西,,沟边岩石上,,有花无果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0006548.jpg,,,,,,,,,, +萱,Viola moupinensis,陈又生,6178,20060804,湖南省,1000,forests margin in ravine,,无花有果,https://image.cvh.ac.cn/files/l/PE/01819209.jpg,,,,,,,,,, +,Viola moupinensis,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-146-B10,20190824,西藏,3954,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0275041.jpg,,,,,,,,,, +萱,Viola moupinensis,谭少林,YLDP120B,20140511,云南,,无,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1452145.jpg,,,,,,,,,, +香堇菜,Viola odorata,Anouymous,714,19790409,浙江省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ035274.jpg,,,,,,,,,, +香堇菜,Viola odorata,王海燕,97088,1997.06,河南,150,,,无花无果,https://image.cvh.ac.cn/files/l/HENU/1009247.jpg,,,,,,,,,, +,Viola odorata,Peter Fritsch,932,19890423,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01723507.jpg,,,,,,,,,, +匍匐堇菜,Viola pilosa,X.H.Jin et al.,DLJ-ET0858,20080701,云南省,1876,evergreen broad,,有花无果,https://image.cvh.ac.cn/files/l/PE/02030423.jpg,,,,,,,,,, +匍匐堇菜,Viola pilosa,田林普查队,4.51E+14,20130314,广西,1150,灌丛,路旁,石灰土,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0116117.jpg,,,,,,,,,, +,Viola pilosa,李永亮等,YDDXS0809,20111001,云南,1850,针阔混交林,直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1236977.jpg,,,,,,,,,, +锡金堇菜,Viola sikkimensis,邓朝义,522328160307968 LY,20160307,贵州省,1399,阔叶林、钙质土、中生、耐阴、中温野生植物,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0060503.jpg,,,,,,,,,, +锡金堇菜,Viola sikkimensis,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14464,20161116,西藏,1352,林下路边,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1459233.jpg,,,,,,,,,, +锡金堇菜,Viola sikkimensis,白洪兵、李红,533324180424094LY,20180424,云南,2992,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG010072.jpg,,,,,,,,,, +四川堇菜,Viola szetschwanensis,C.W.Wang,65713,19350800,云南省 ,3200,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00071454.jpg,,,,,,,,,, +四川堇菜,Viola szetschwanensis,黄汉东,刘检明,胡华,1605,20170518,湖北,1770,,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0184277.jpg,,,,,,,,,, +,Viola szetschwanensis,胡君、王东超、李丽、唐露,SC-a-051-B33,20180724,四川,,高山栎群落中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609065.jpg,,,,,,,,,, +毛董菜,Viola thomsonii,侯元同,郭成勇,王靖,201408242-2,20140830,湖北,213,山沟林缘,草本,无花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0041057.jpg,,,,,,,,,, +毛堇菜,Viola thomsonii,白洪兵、李红,533324180419024LY,20180419,云南,1926,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009431.jpg,,,,,,,,,, +毛堇菜,Viola thomsonii,陆露,张明英,王银环,杨涛,WH-2012-0845,20120816,广西,850,路边林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1436326.jpg,,,,,,,,,, +,Viola tienschiensis,"Bonvalot, P.G.E.",,1890-4,,,,,,https://image.cvh.ac.cn/files/l/P/P00432508.jpg,,,,,,,,,, +,Viola tienschiensis,陈又生,6012,20000318,云南省,2100,"Under sparse forest,rare",,有花无果,https://image.cvh.ac.cn/files/l/PE/01840501.jpg,,,,,,,,,, +,Viola tienschiensis,黔南队,196,19590405,贵州,,梁脊山沟斜坡阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01820331.jpg,,,,,,,,,, +,Viola tricolor,T.N.Liou,14036,19450731,云南省,2000,Cultivated in the temple,,有花有果,https://image.cvh.ac.cn/files/l/PE/00066447.jpg,,,,,,,,,, +,Viola tricolor,,1913,19590312,浙江省,,盆栽.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00068639.jpg,,,,,,,,,, +,Viola tricolor,,6951,19100501,河北省,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/00076774.jpg,,,,,,,,,, +西藏细距堇菜,Viola wallichiana,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1048,20130813,西藏自治区,3900,山坡混交林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992888.jpg,,,,,,,,,, +西藏细距堇菜,Viola wallichiana,F.Miyamoto et al.,95,19950719,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01323410.jpg,,,,,,,,,, +西藏细距堇菜,Viola wallichiana,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201216,20200724,西藏,2721,岩壁下,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1505730.jpg,,,,,,,,,, +云南堇菜,Viola yunnanensis,C.W.Wang,78218,19360900,云南省 ,1650,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00071455.jpg,,,,,,,,,, +云南堇菜,Viola yunnanensis,陈又生,6002,20060314,海南,600,shady forest margin along footpath,,无花有果,https://image.cvh.ac.cn/files/l/PE/01819673.jpg,,,,,,,,,, +云南堇菜,Viola yunnanensis,陈又生,6002,20060314,海南省,600,shady forest margin along footpath,,无花有果,https://image.cvh.ac.cn/files/l/PE/01819675.jpg,,,,,,,,,, +,Viola yunnanfuensis,王启无,65456,19350800,西藏自治区,,"valley,pine wood",,无花无果,https://image.cvh.ac.cn/files/l/PE/00067513.jpg,,,,,,,,,, +心叶堇菜,Viola yunnanfuensis,资源县普查队,450329160401012LY,20160401,广西壮族自治区,447,草丛,路旁,黄棕壤,多见野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00404184.jpg,,,,,,,,,, +,Viola yunnanfuensis,陈又生,4175,20040612,贵州省,1070,Grassy slopes,,有花无果,https://image.cvh.ac.cn/files/l/PE/01840257.jpg,,,,,,,,,, +桦叶葡萄,Vitis betulifolia,程堂仁,张强英,郭治友等,H-黔三都-Z-0128,20101101,贵州,936,山坡、林缘、沟边灌丛中,落叶木质藤本,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00073578.jpg,,,,,,,,,, +桦叶葡萄,Vitis betulifolia,植物资源考察队,T0034,19850715,河南省,250,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01612137.jpg,,,,,,,,,, +桦叶葡萄,Vitis betulifolia,林秦文,2013-167,20130601,云南省,1750~2300,峡谷,,有花有果,https://image.cvh.ac.cn/files/l/PE/02038709.jpg,,,,,,,,,, +毛葡萄,Vitis heyneana,魏来、何毅,BNUXZ2016327,20160720,西藏,2700~2800,路旁灌草丛,,,https://image.cvh.ac.cn/files/l/BNU/0028053.jpg,,,,,,,,,, +毛葡萄,Vitis heyneana,"郭永杰, 吴志坤, 吴兴, 王宇萍, 李志军",14CS9942,20141115,云南,,山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395438.jpg,,,,,,,,,, +毛葡萄,Vitis heyneana,张代贵,150810037,20150810,湖南永州,275,针叶.阔叶混交林中,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU24144.jpg,,,,,,,,,, +,Vitis vinifera,Shiu Ying Hu,7703,19690604,香港,,Cultivated,,无花无果,https://image.cvh.ac.cn/files/l/PE/00727846.jpg,,,,,,,,,, +葡萄,Vitis vinifera,金银根,070001-5,20060416,江苏,4,果园,藤本,无花无果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0005723.jpg,,,,,,,,,, +,Vitis vinifera,刘长江等,41,19570524,山东省,450,疏林下 阳处 山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01812266.jpg,,,,,,,,,, +,Vulpia myuros,刘玉红,s.n.,19860811,重庆市,1800,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00719522.jpg,,,,,,,,,, +,Vulpia myuros,"李渤生,程树志等",5199,19830623,西藏自治区,2400,林间沼泽草甸优势,,有花有果,https://image.cvh.ac.cn/files/l/PE/00719892.jpg,,,,,,,,,, +鼠茅,Vulpia myuros,董建,29539,1982-8 3,四川省,3250,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0157909.jpg,,,,,,,,,, +,Woodfordia fruticosa,税玉民,陈文红等,71973,20070719,云南,1550,山坡路边,灌木,,https://image.cvh.ac.cn/files/l/KUN/1246931.jpg,,,,,,,,,, +虾子花,Woodfordia fruticosa,陈焕镛,6658,19271100,香港,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0220191.jpg,,,,,,,,,, +虾子花,Woodfordia fruticosa,黄宝优、胡雪阳、刘威、姚积军,451028130422032LY,20130422,广西,800,阔叶林,路旁,红壤,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0144721.jpg,,,,,,,,,, +,Xanthophyllum burkillii,,,,,,,,,,,,,,,,,,, +,Xanthophyllum flavescens,Pavlos Georgiadis,430,20110222,云南省,1723,silt on granite bedrock; open place in disturbed area on roadside,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1225198.jpg,,,,,,,,,, +泰国黄叶树,Xanthophyllum flavescens,J.F.Maxwell,88-305,1988-03-,,950,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0142860.jpg,,,,,,,,,, +泰国黄叶树,Xanthophyllum flavescens,张文富,沐金海,鲍顺荣,董金龙,ZhangWF129,20200618,云南,815,常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1501015.jpg,,,,,,,,,, +,Xanthophyllum griffithii,,,,,,,,,,,,,,,,,,, +柞木,Xylosma congesta,于胜祥、张晓霞、周洪志、等,451031130809024LY,20130809,广西,1387,灌丛,林缘,黄棕壤,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0193012.jpg,,,,,,,,,, +柞木,Xylosma congesta,H.C.Cheo,351,19380910,江西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/116199120.jpg,,,,,,,,,, +柞木,Xylosma congesta,修业农专,,19501009,湖南省,,,,无花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI006116.jpg,,,,,,,,,, +南岭柞木,Xylosma controversa,平乐县普查队,450330180514055LY,20180514,广西,200,灌丛,路旁,黄棕壤,一般野生,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00412306.jpg,,,,,,,,,, +,Xylosma controversa,郭永杰,聂细转,黄秋月,李昌洪,12CS4955,20120320,云南,1181,次生林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1303662.jpg,,,,,,,,,, +毛叶南岭柞木,Xylosma controversa,陈景方,2336,20080725,广东省,200,山坡边缘,乔木,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00029567.jpg,,,,,,,,,, +,Xylosma longifolia,罗忠华,刘长铭等,JD109,20071115,云南,1355,季风常绿阔叶林河谷河边,乔木,,https://image.cvh.ac.cn/files/l/KUN/1249883.jpg,,,,,,,,,, +长叶柞木,Xylosma longifolia,考察队,34997,19831206,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/008145.jpg,,,,,,,,,, +,Xylosma longifolia,,Q32,19660400,广西壮族自治区,450,砂无岩山地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01991097.jpg,,,,,,,,,, +,Yushania arunachaleana,,,,,,,,,,,,,,,,,,, +,Yushania longispiculatus,,,,,,,,,,,,,,,,,,, +亚东玉山竹,Yushania yadongensis,高连明,马朋飞,蔡兆明,10067,20100524,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1233532.jpg,,,,,,,,,, +玉蜀黍,Zea mays,包士英,1749,19590908,河南省,,山脚阳处旱田中平原,,有花有果,https://image.cvh.ac.cn/files/l/PE/00719534.jpg,,,,,,,,,, +玉蜀黍,Zea mays,钱家驹等 ,1013,19570814,吉林省,900,旱田中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00719523.jpg,,,,,,,,,, +玉米,Zea mays,黎素云,62,1948-05-,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0109086.jpg,,,,,,,,,, +,Zehneria bodinieri,张绍云,叶金科,YNS0013,20080204,云南,1400,河边,攀援草本,,https://image.cvh.ac.cn/files/l/KUN/1250459.jpg,,,,,,,,,, +钮子瓜,Zehneria bodinieri,刘正宇、张军等,RQHZ06646,20140903,重庆,546,路旁土坎上,草质藤本,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0131056.jpg,,,,,,,,,, +,Zehneria bodinieri,袁明,YUANM2015L072,20151115,四川,323,山径旁,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1458891.jpg,,,,,,,,,, +,Zehneria japonica,"朱鑫鑫, 甄爱国, 孙增朋, 王金丹, 石琳琳, 王君",ZhuXX120,20171005,湖北,795,亚热带针阔混交林,路边,草质藤本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1459146.jpg,,,,,,,,,, +马?儿,Zehneria japonica,刘昂、刘文剑、邓创发,18100729,20181007,湖南,80,,草质藤本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI063981.jpg,,,,,,,,,, +,Zehneria japonica,王封才,353,20040815,贵州省,500,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01670592.jpg,,,,,,,,,, +大叶榉树,Zelkova schneideriana,邹惠渝等,南林20349,19840927,福建,700,林中,乔木,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00042011.jpg,,,,,,,,,, +大叶榉树,Zelkova schneideriana,,22,19630929,广西壮族自治区,,栽培于山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00679702.jpg,,,,,,,,,, +大叶榉树,Zelkova schneideriana,严岳鸿、李晓晨、汪浩、王连军等,CFH09001827,20180511,浙江,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0156160.jpg,,,,,,,,,, +,Zeylanidium olivaceum,,,,,,,,,,,,,,,,,,, +无瓣枣,Ziziphus apetala,冯国楣,20281,19550413,云南省,630,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0405525.jpg,,,,,,,,,, +无瓣枣,Ziziphus apetala,王孝,高锡朋,刘心祈,100210,19400304,云南省 ,976,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0405532.jpg,,,,,,,,,, +印度枣,Ziziphus incurva,中苏队,323,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0405546.jpg,,,,,,,,,, +印度枣,Ziziphus incurva,北京队,893186,19891115,广西壮族自治区,,河边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01999586.jpg,,,,,,,,,, +印度枣,Ziziphus incurva,"张志松,张永田",6276,19600718,贵州省,1050,山坡密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01369502.jpg,,,,,,,,,, +无刺枣,Ziziphus jujuba var. inermis,方文哲等,67,1962/6/15,江苏,,,小乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0220474.jpg,,,,,,,,,, +无刺枣,Ziziphus jujuba var. inermis,何国生,889,19800603,福建省,120,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01637912.jpg,,,,,,,,,, +无刺枣,Ziziphus jujuba var. inermis,何叶琪,3326,1959/6/26,甘肃,1450,,乔木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0159451.jpg,,,,,,,,,, +滇刺枣,Ziziphus mauritiana,梁畴芬,33301,19730917,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01637155.jpg,,,,,,,,,, +滇刺枣,Ziziphus mauritiana,Shiu Ying Hu,12937,19730219,香港,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01378093.jpg,,,,,,,,,, +滇刺枣,Ziziphus mauritiana,金效华,661,20020927,四川省,1100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01637901.jpg,,,,,,,,,, +小果枣,Ziziphus oenopolia,莫瑞玲、黎宁芬,15867,20040707,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0046697.jpg,,,,,,,,,, +小果枣,Ziziphus oenopolia,刘全儒,孟世勇,GXGS118,20090204,广西省,38,高速公路边,,,https://image.cvh.ac.cn/files/l/BNU/0021012.jpg,,,,,,,,,, +小果枣,Ziziphus oenopolia,刀志灵;杨静;郭世伟;张品;杨佳俊;陶丽丹;杨丰懋;陈娅玲,KIBDZL186B09,20190707,云南,1321,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1560130.jpg,,,,,,,,,, +,Ziziphus rugosa,刘心沂,26793,19360518,海南省,,斜坡向南疏林中疏阴干燥,,无花有果,https://image.cvh.ac.cn/files/l/PE/01378202.jpg,,,,,,,,,, +皱枣,Ziziphus rugosa,F.C.How,70537,19330411,海南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0405899.jpg,,,,,,,,,, +皱枣,Ziziphus rugosa,张宏达,1364,19400400,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0405907.jpg,,,,,,,,,, +斜对叶,Zornia gibbosa,毛品一,1996,19521210,云南省,1160,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0199536.jpg,,,,,,,,,, +斜对叶,Zornia gibbosa,陈焕镛,8319,19320918,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00075654.jpg,,,,,,,,,, +斜对叶,Zornia gibbosa,海南工作站,2459,19600822,海南省 ,5,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0199507.jpg,,,,,,,,,, +,Abelia forrestii,高信芬、朱章明、赵雪利,12167,20100706,西藏,3180,山坡灌丛或松林,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0228283.jpg,,,,,,,,,, +,Abelia forrestii,"Forrest, George",867,5-Nov,,,,,,https://image.cvh.ac.cn/files/l/E/E00265299.jpg,,,,,,,,,, +细瘦六道木,Abelia forrestii,,225,19810000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/067985.jpg,,,,,,,,,, +小叶六道木,Abelia parvifolia,曹铁如,84378,19840711,湖南省,500,密林内,,无花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI041436.jpg,,,,,,,,,, +小叶六道木,Abelia parvifolia,Wuyi Exp.,261,19790814,福建省,700,路边杂木林,灌木,有花无果,https://image.cvh.ac.cn/files/l/FJSI/002210.jpg,,,,,,,,,, +,Abelia parvifolia,A. Henry,6398,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00031247.jpg,,,,,,,,,, +伞花六道木,Abelia umbellata,傅国勋,1025,1957/7/23,湖北,2100,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0233629.jpg,,,,,,,,,, +伞花六道木,Abelia umbellata,高举林 ,89376,19890711,四川省,1800,,,有花有果,https://image.cvh.ac.cn/files/l/WCSBG/010472.jpg,,,,,,,,,, +伞花六道木,Abelia umbellata,,136,19580729,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00731864.jpg,,,,,,,,,, +黄蜀葵,Abelmoschus manihot,张代贵,pph1077,20150919,湖南湘西州,,山谷,一年生或多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU26399.jpg,,,,,,,,,, +黄蜀葵,Abelmoschus manihot,宋晓辉,2378,20190623,福建,300,水泥路边,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU076362.jpg,,,,,,,,,, +黄蜀葵,Abelmoschus manihot,"赵厚涛, 韩国营",YBG043,20121102,贵州,675,村边林缘,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1458807.jpg,,,,,,,,,, +刚毛黄蜀葵,Abelmoschus manihot var. pungens,湖南中医研究所,3,19731004,湖南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0280259.jpg,,,,,,,,,, +刚毛黄蜀葵,Abelmoschus manihot var. pungens,"Tsui,T.M",726,19320700,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01275870.jpg,,,,,,,,,, +刚毛黄蜀葵,Abelmoschus manihot var. pungens,李洪钧,6401,19580918,湖北省,350,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0280260.jpg,,,,,,,,,, +黄葵,Abelmoschus moschatus,岳俊三等,2112,19620826,江西省,580,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0280404.jpg,,,,,,,,,, +黄葵,Abelmoschus moschatus,洪延泓,1442,20180630,福建,230,山地,路边,草本,有花有果,https://image.cvh.ac.cn/files/l/AU/AU066299.jpg,,,,,,,,,, +黄葵,Abelmoschus moschatus,克里木,92712,92.09.26,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00020009.jpg,,,,,,,,,, +昂天莲,Abroma augustum,王正伟,WZW08705,20151106,西藏,983,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0110019.jpg,,,,,,,,,, +磨盘草,Abutilon indicum,韦春强、李象钦,RQXN07912,20151228,广西省,77.56403,路边、荒地,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0125542.jpg,,,,,,,,,, +磨盘草,Abutilon indicum,H.C.Chao,591,19360803,福建省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01286071.jpg,,,,,,,,,, +磨盘草,Abutilon indicum,刘慎谔,s.n.,19290729,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01286076.jpg,,,,,,,,,, +,Abutilon ramosum,G.P.Roy,2512,19760319,,360,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0280740.jpg,,,,,,,,,, +柔毛五加,Acanthopanax gracilistylus,生科,9,20160703,河南,,,,无花有果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0013428.jpg,,,,,,,,,, +,Acanthopanax gracilistylus,陈舜礼,,1965,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00028556.jpg,,,,,,,,,, +三叶细柱五加,Acanthopanax gracilistylus,华东农林部森林调查浙江队,40151,19500805,浙江,,,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00028557.jpg,,,,,,,,,, +,Acanthophyllum cerastioides,,,,,,,,,,,,,,,,,,, +刺苞老鼠簕,Acanthus leucostachyus,昆明工作站,59-135850,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0558254.jpg,,,,,,,,,, +刺鼠勒,Acanthus leucostachyus,中越考察队,1685,19650124,山西,290~190,林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/233153.jpg,,,,,,,,,, +刺苞老鼠簕,Acanthus leucostachyus,郭绍荣,,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0026128.jpg,,,,,,,,,, +土牛膝,Achyranthes aspera,H.H. Chung,5396,1926-10-,福建; FUKIEN,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00064104.jpg,,,,,,,,,, +土牛膝,Achyranthes aspera,谭策铭,7732,20071011,江西省,40,高速路边灌草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01959877.jpg,,,,,,,,,, +土牛膝,Achyranthes aspera,青藏队,3098,19810731,四川省,2700,河岸 青刺尖灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01063478.jpg,,,,,,,,,, +牛膝,Achyranthes bidentata,Sheng-Chieh Wu,1436,20021002,台湾省 ,200~250,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1249029.jpg,,,,,,,,,, +牛膝,Achyranthes bidentata,,560172,,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043965.jpg,,,,,,,,,, +牛膝,Achyranthes bidentata,沈泽昊,HXE035,20101001,湖北,600,亚热带常绿阔叶林,,,https://image.cvh.ac.cn/files/l/KUN/1245424.jpg,,,,,,,,,, +鳞果草,Achyrospermum densiflorum,,36248,19541022,Minn,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/822028.jpg,,,,,,,,,, +鳞果草,Achyrospermum densiflorum,T.Y.A.Yang,2154,19850615,台湾省,0,Roadside,,有花无果,https://image.cvh.ac.cn/files/l/KUN/98411.jpg,,,,,,,,,, +鳞果草,Achyrospermum densiflorum,北京队,1159,19880606,湖南省,600,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/324673.jpg,,,,,,,,,, +西藏鳞果草,Achyrospermum wallichianum,邓良,7950,19581010,广东,700,山地、路旁、水旁、山谷、密林、分布普遍,草本直立,有花无果,https://image.cvh.ac.cn/files/l/AU/AU086078.jpg,,,,,,,,,, +西藏鳞果草,Achyrospermum wallichianum,秦仁昌,24890,19290924,广东省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/484592.jpg,,,,,,,,,, +西藏鳞果草,Achyrospermum wallichianum,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11840,20161111,西藏,884,热带季雨林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1444927.jpg,,,,,,,,,, +,Acilepis aspera,,,,,,,,,,,,,,,,,,, +,Acilepis attenuata,,,,,,,,,,,,,,,,,,, +,Acilepis saligna,"Martin, Léon & Bodinier, Emile M.",1922,09 October 1897,,,,,,https://image.cvh.ac.cn/files/l/E/E00413320.jpg,,,,,,,,,, +,Acirostrum alaschanicum,,,,,,,,,,,,,,,,,,, +,Acmella calva,"Henry, Augustine",12260A,,,,,,,https://image.cvh.ac.cn/files/l/E/E00417472.jpg,,,,,,,,,, +,Acmella calva,王洪,4438,20000314,云南,670,阳地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830353.jpg,,,,,,,,,, +,Acmella calva,A.Henry,12260A,,云南省,1333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01667931.jpg,,,,,,,,,, +天文草,Acmella ciliata,唐国旺、李紫默,TangGW1218,20210314,海南,92,热带季风阔叶林小路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1556503.jpg,,,,,,,,,, +,Acmella ciliata,谭策铭,971582,19971019,福建,400,山谷村旁空地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830350.jpg,,,,,,,,,, +天文草,Acmella ciliata,隆安县普查队,450123130507013LY,20130507,广西壮族自治区,230,灌丛,多年生草本植物,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0132220.jpg,,,,,,,,,, +桂圆菊,Acmella oleracea,Jatupol K.,07-042,20071115,,1008,,草本,,https://image.cvh.ac.cn/files/l/HITBC/0018069.jpg,,,,,,,,,, +金钮扣,Acmella paniculata,苏享修,CSH13888,20161106,福建省,16,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0137912.jpg,,,,,,,,,, +金钮扣,Acmella paniculata,王辰,51229018,20051229,海南省,800,草丛中,,,https://image.cvh.ac.cn/files/l/BNU/0012386.jpg,,,,,,,,,, +,Acmella paniculata,"高信芬, 张良, 李蒙, 张桥蓉, 亚吉东, 崔光帅",QTP-II08-T05-000034,20171124,,158,along brook,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486872.jpg,,,,,,,,,, +千针苋,Acroglochin persicarioides,毕节队,1034,19590818,贵州省,2000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269541.jpg,,,,,,,,,, +千针苋,Acroglochin persicarioides,李巨平,Lijuping0018,20081028,湖北,900,落叶阔叶林林缘耕地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1244230.jpg,,,,,,,,,, +千针苋,Acroglochin persicarioides,张志英,12941,1959/9/6,甘肃  ,750,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0374536.jpg,,,,,,,,,, +高山丝瓣芹,Acronema alpinum,谢登峰、卫静丽,2029359,20190922,四川,4659,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/02029359.jpg,,,,,,,,,, +高山丝瓣芹,Acronema alpinum,王为义,45,19820626,青海省,4400,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/108054.jpg,,,,,,,,,, +高山丝瓣芹,Acronema alpinum,青藏补点组,751424,19750819,西藏自治区,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/461007.jpg,,,,,,,,,, +星叶丝瓣芹,Acronema astrantiifolium,植被组,29773,1982-9 1,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0101158.jpg,,,,,,,,,, +星叶丝瓣芹,Acronema astrantiifolium,谭少林,YLDP227B,20141016,云南,,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1450926.jpg,,,,,,,,,, +星叶丝瓣芹,Acronema astrantiifolium,,30620,0,新缰,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/461011.jpg,,,,,,,,,, +短梗丝瓣芹,Acronema brevipedicellatum,青藏队,4027,1981-8 9,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0101253.jpg,,,,,,,,,, +,Acronema chienii var. chienii,,,,,,,,,,,,,,,,,,, +尖瓣芹,Acronema chinense var. chinense,"T.N.Ho、B.Bartholomew、M.Watson,等",2266,19960824,青海省,3550~3650,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/00001274.jpg,,,,,,,,,, +矮尖瓣芹,Acronema chinense var. humile,不祥,718,19810825,甘肃省,3520,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/107271.jpg,,,,,,,,,, +矮尖瓣芹,Acronema chinense var. humile,溥发鼎,姚淦,220,19821017,四川省,3600,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00005164.jpg,,,,,,,,,, +矮尖瓣芹,Acronema chinense var. humile,周立华,428,19660905,青海省,4400,岩石缝隙湿润处,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00064680.jpg,,,,,,,,,, +变化丝瓣芹,Acronema commutatum,,,19740820,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/069292.jpg,,,,,,,,,, +多变丝瓣芹,Acronema commutatum,,29,,,,林下,,有花有果,https://image.cvh.ac.cn/files/l/SM/SM715000008.jpg,,,,,,,,,, +多变丝瓣芹,Acronema commutatum,联大,21516,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0460264.jpg,,,,,,,,,, +,Acronema forrestii,"Forrest, George",6667,10-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00000526.jpg,,,,,,,,,, +,Acronema forrestii,Harry Smith,2555,19340930,四川省,3100,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616044.jpg,,,,,,,,,, +中甸丝瓣芹,Acronema forrestii,中甸队,1675,19620831,云南省,3900,冷杉林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0460273.jpg,,,,,,,,,, +细梗丝瓣芹,Acronema gracile,青藏队,74-2236,1974,西藏自治区,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/561474.jpg,,,,,,,,,, +,Acronema minus,,,,,,,,,,,,,,,,,,, +,Acronema paniculatum,"Delavay, J.M.",487,1882-10-10,,,,,,https://image.cvh.ac.cn/files/l/P/P00245406.jpg,,,,,,,,,, +圆锥丝瓣芹,Acronema paniculatum,朱鑫鑫、陈彬、沈彬、宋以刚,CSH06969,20140802,四川省,3801.06,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0037693.jpg,,,,,,,,,, +圆锥丝瓣芹,Acronema paniculatum,海仙、刘景欣、李红、肖茂荣,HB2007-493,20071005,云南省,3180,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 004571.jpg,,,,,,,,,, +,Acronema schneideri,胡君、王东超、李丽、唐露,SC-a-072-B13,20180807,云南,3734,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261029.jpg,,,,,,,,,, +,Acronema schneideri,"彭玉兰,涂卫国",GaoXF-1019,20080907,四川省,3314,落叶阔叶林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1335633.jpg,,,,,,,,,, +丽江丝瓣芹,Acronema schneideri,58年秦岭队,10706,19580914,陕西省,2700,阴处 疏密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01478030.jpg,,,,,,,,,, +,Acronema sichuanense,王乾、顾健,SCW0590,20190824,四川,3757,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0267385.jpg,,,,,,,,,, +四川丝瓣芹,Acronema sichuanense,陈世龙、高庆波、张发起等,Chensl-1647,20110820,青海,3150,沙棘灌丛,直立草本,有花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00024670.jpg,,,,,,,,,, +四川丝瓣芹,Acronema sichuanense,潘泽惠,等,948,19861010,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00005160.jpg,,,,,,,,,, +西藏丝瓣芹,Acronema xizangense,青藏队植被组,3394,19740924,西藏自治区,0,河谷侧坡,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00039858.jpg,,,,,,,,,, +西藏丝瓣芹,Acronema xizangense,溥发鼎,姚淦,493,19821024,四川省,3400,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00009041.jpg,,,,,,,,,, +西藏丝瓣芹,Acronema xizangense,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,772,20120809,西藏,,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230531.jpg,,,,,,,,,, +山油柑,Acronychia pedunculata,Anonymous,2003/4/1,,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998612.jpg,,,,,,,,,, +山油柑,Acronychia pedunculata,中苏队,5132,19570224,云南省,1300,山坡阴处密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100824.jpg,,,,,,,,,, +山油柑,Acronychia pedunculata,刘英光,2255,19580921,广东省,200,山地路旁水旁山谷疏林沙土少见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02249562.jpg,,,,,,,,,, +,Actinidia callosa,姜孝成,唐妹等,JiangXC0559,20081001,湖南,614,山地,木质藤本,,https://image.cvh.ac.cn/files/l/KUN/1251156.jpg,,,,,,,,,, +京梨猕猴桃,Actinidia callosa,严岳鸿、李晓晨、汪浩、王连军等,CFH09001856,20180511,浙江,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0156216.jpg,,,,,,,,,, +毛叶硬齿猕猴桃,Actinidia callosa,L.H.Liu,459,19570517,湖南省,1000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00071659.jpg,,,,,,,,,, +,Actinidia callosa var. henryi,董栓录,刘鹏,TianXH1009,20130924,陕西,650,亚热带落叶阔叶林山坡,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1303860.jpg,,,,,,,,,, +京梨猕猴桃,Actinidia callosa var. henryi,曾宪锋,ZXF37031,20180421,福建,430,山地、疏林,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0032310.jpg,,,,,,,,,, +京梨猕猴桃,Actinidia callosa var. henryi,曲仲湘,1128,19350605,重庆,1200,in woods on slope near stream,vine,无花有果,https://image.cvh.ac.cn/files/l/CQNM/0011281.jpg,,,,,,,,,, +中华猕猴桃,Actinidia chinensis,"马丹丹,寿海洋",ZJFC304,20070704,浙江省,350,山沟灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02224762.jpg,,,,,,,,,, +中华猕猴桃,Actinidia chinensis,"董洪进,赵飞",WM-0460,20160517,云南省,1900,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/02090280.jpg,,,,,,,,,, +中华猕猴桃,Actinidia chinensis,王映明,4246,19880628,湖北省,1300,山坡林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01845122.jpg,,,,,,,,,, +贡山猕猴桃,Actinidia pilosula,青藏队,11771,19830705,四川省,2300,山坡 常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01128920.jpg,,,,,,,,,, +贡山猕猴桃,Actinidia pilosula,李新伟,2010-263,20100829,云南,1983,近山顶林中小路边树上緾绕,,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0181776.jpg,,,,,,,,,, +贡山猕猴桃,Actinidia pilosula,倪志诚,汪永泽,次多,次旦,663,19800715,西藏自治区,1650,山坡常绿阔叶林林缘,藤本,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0003940.jpg,,,,,,,,,, +扇叶猕猴桃,Actinidia umbelloides,216,77266,19360700,云南省,1800,Among woods,Vine,无花有果,https://image.cvh.ac.cn/files/l/LBG/00004270.jpg,,,,,,,,,, +伞花猕猴桃,Actinidia umbelloides,李剑武,2698,20121029,云南,1700,公路边,灌木状藤本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028237.jpg,,,,,,,,,, +伞花猕猴桃,Actinidia umbelloides,李鸣冈,2103,19391127,云南省 ,2000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0240318.jpg,,,,,,,,,, +,Actinidia venosa,T. T. Yu,1451,1932/9/9,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00096688.jpg,,,,,,,,,, +柔毛猕猴桃,Actinidia venosa,H.T.Hsia,50996,19320604,云南省 ,2100,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00077091.jpg,,,,,,,,,, +显脉猕猴桃,Actinidia venosa,黄荣福 王为义,27800,19840618,青海省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/107257.jpg,,,,,,,,,, +,Actinocarya acaulis,,,,,,,,,,,,,,,,,,, +锚刺果,Actinocarya tibetica,陈兰笛,53954,19630325,广西壮族自治区,0,山谷丘陵灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/86243.jpg,,,,,,,,,, +锚刺果,Actinocarya tibetica,傅坤俊,1616,19380728,山西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/86303.jpg,,,,,,,,,, +,Actinocarya tibetica,四川药普查队,20051,19600722,四川省,0~3600,,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00212146.jpg,,,,,,,,,, +腺梗菜,Adenocaulon himalaicum,于兴华,412,20100806,辽宁省鞍山市,319,落叶松林内,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0246718.jpg,,,,,,,,,, +和尚菜,Adenocaulon himalaicum,张燕,154,20140521,贵州,567,,,有花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0007341.jpg,,,,,,,,,, +腺梗菜,Adenocaulon himalaicum,J.Kozlov,,19270904,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00059383.jpg,,,,,,,,,, +细萼沙参,Adenophora capillaris subsp. leptosepala,熊厚溪,522401140901004 LY,20140901,贵州省,2009.2,旱生、阳性、中温、沙土、野生植物、草丛,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0037381.jpg,,,,,,,,,, +细萼沙参,Adenophora capillaris subsp. leptosepala,K.L.Chiu,2059,1936/ /,四川,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0329188.jpg,,,,,,,,,, +细萼沙参,Adenophora capillaris subsp. leptosepala,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01230223.jpg,,,,,,,,,, +天蓝沙参,Adenophora coelestis,不祥,217,19590925,云南省 ,2500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/45738.jpg,,,,,,,,,, +,Adenophora coelestis,"Forrest, George",2661,6-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00265648.jpg,,,,,,,,,, +天蓝沙参,Adenophora coelestis,余奇、熊先华、李琳霖,THP-KD-4919,20170814,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250621.jpg,,,,,,,,,, +喜马拉雅沙参,Adenophora himalayana,何兴金、赵清盛、王强,146618,20070730,上海,3400,山坡,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02048646.jpg,,,,,,,,,, +喜马拉雅沙参,Adenophora himalayana,新疆队,1222,19740729,新疆维吾尔自治区,2600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/43510.jpg,,,,,,,,,, +喜马拉雅沙参,Adenophora himalayana,郝加琛,15162,20150710,青海神,3608,干山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0030287.jpg,,,,,,,,,, +高山沙参,Adenophora himalayana subsp. alpina,绵地队,308,19780824,四川,3450,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719100141.jpg,,,,,,,,,, +高山沙参,Adenophora himalayana subsp. alpina,蒋兴麟,10793,19580712,四川省,2510,沟山上林边草丛中生于潮湿腐殖质上中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01230699.jpg,,,,,,,,,, +高山沙参,Adenophora himalayana subsp. alpina,郭友好 胡志新,417,1977/8/7,陕西,3500,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0401965.jpg,,,,,,,,,, +云南沙参,Adenophora khasiana,熊厚溪,522401141027044 LY,20141027,贵州省,1498.7,旱生、阳性、中温、沙土、野生植物、草丛,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0037383.jpg,,,,,,,,,, +云南沙参,Adenophora khasiana,青藏队补点队,751639,19750826,西藏自治区,2600,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01230922.jpg,,,,,,,,,, +云南沙参,Adenophora khasiana,龙庆德、李启瑞,52263120180929159LY,20180929,贵州,960,灌丛、旱生、阳性、亚高温、酸性土、野生植物,藤本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0101474.jpg,,,,,,,,,, +,Adenosma indiana,S.Y.Hu & P.P.H.But,23510,20001020,香港,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01474097.jpg,,,,,,,,,, +下田菊,Adenostemma lavenia,李健玲、邹永誉、叶春伟,GPS191101029,20191101,广西,,山顶,路旁,黄壤,草本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI075219.jpg,,,,,,,,,, +宽叶下田菊,Adenostemma lavenia,"葛斌杰,张庆费,易逸瑜等",ZX00593,20170927,浙江,720,亚热带常绿阔叶林林缘,草本 Herb,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0147453.jpg,,,,,,,,,, +下田菊,Adenostemma lavenia,彭焱松、桂忠明、梁同军等,574,20111102,江西省,152,路边,灌木,,https://image.cvh.ac.cn/files/l/ZM/ZMNH0011112.jpg,,,,,,,,,, +宽叶下田菊,Adenostemma lavenia var. latifolium,庄平 冯正波 张超,20060708,20061005,四川省,400,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/014023.jpg,,,,,,,,,, +宽叶下田菊,Adenostemma lavenia var. latifolium,胡君,熊豫宁,伍小刚,王东超,HJ04976,20151026,西藏自治区,2800,铁杉林下草丛,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00599724.jpg,,,,,,,,,, +宽叶下田菊,Adenostemma lavenia var. latifolium,彭玉德,黄雪彦,韦荣昌,451025141011031LY,20141011,广西壮族自治区,892,灌丛,路旁,黄棕壤,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0106362.jpg,,,,,,,,,, +,Adinandra griffithii,黄全,233,19580324,云南,2000,常绿阔叶林中小坡,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00026141.jpg,,,,,,,,,, +粗毛杨桐,Adinandra hirta,荔波队,1141,19590722,贵州省,700,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00328776.jpg,,,,,,,,,, +粗毛杨桐,Adinandra hirta,高锡朋,51388,19310427,广东省,,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00328778.jpg,,,,,,,,,, +粗毛杨桐,Adinandra hirta,安明态 张建泳,,20110801,贵州,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00079568.jpg,,,,,,,,,, +,Adinandra kamalae,,,,,,,,,,,,,,,,,,, +短梗野菰,Aeginetia acaulis,Frank Fusiak,,19810918,Tennessee,0,,草本 ,无花无果,https://image.cvh.ac.cn/files/l/KUN/0317900.jpg,,,,,,,,,, +短梗野菰,Aeginetia acaulis,梁畴芬,32312,19570513,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00054086.jpg,,,,,,,,,, +短梗野菰,Aeginetia acaulis,"张志松,张永田",7673,19600621,贵州省,1200,山坡密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01542214.jpg,,,,,,,,,, +木橘,Aegle marmelos,杨增宏,6934,19420922,云南省 ,950,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0383678.jpg,,,,,,,,,, +孟加拉苹果,Aegle marmelos,泽桑梓,赵见明,ZeSZ13001,20130211,云南,855,栽培,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1437851.jpg,,,,,,,,,, +木橘,Aegle marmelos,Bajan,9537,19640703,,100,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01692140.jpg,,,,,,,,,, +,Aegopodium henryi,王庆娃,378,19990617,陕西,,山坡林下,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00605981.jpg,,,,,,,,,, +巴东羊角芹,Aegopodium henryi,张卢水、毛星星、陈春林、李家亮,SUZLS03211,20180504,四川,1045,,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1558666.jpg,,,,,,,,,, +巴东羊角芹,Aegopodium henryi,李雄、邓创发、李健玲,19061219,20190612,湖南,1200,溪沟旁,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI072551.jpg,,,,,,,,,, +芒毛苣苔,Aeschynanthus acuminatus,熊济华,张秀实,蒋兴麐,33292,19520000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00054234.jpg,,,,,,,,,, +芒毛苣苔,Aeschynanthus acuminatus,中越考察队,1176,19650108,山西省,1000,次生林附生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123630.jpg,,,,,,,,,, +芒毛苣苔,Aeschynanthus acuminatus,林来官,6040,,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/FJSI/004233.jpg,,,,,,,,,, +狭矩叶芒毛苣苔,Aeschynanthus angustioblongus,T. T. Yu(俞德浚),20424,19380925,云南,1500,Upon back of tree ,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0205677.jpg,,,,,,,,,, +狭矩芒毛苣苔,Aeschynanthus angustioblongus,周仕顺,2086,20040910,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/109236.jpg,,,,,,,,,, +,Aeschynanthus angustioblongus,"Yü, Tse-tsun",20424,25-Sep-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00062757.jpg,,,,,,,,,, +,Aeschynanthus bracteatus,H. T. Tsai,55232,1934/5/19,,1200,,,,https://image.cvh.ac.cn/files/l/HUH/A00353710.jpg,,,,,,,,,, +,Aeschynanthus bracteatus,蔡希陶,56586,0,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0205632.jpg,,,,,,,,,, +,Aeschynanthus bracteatus,俞德浚,19387,19380720,云南省,1900,of tree,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0205889.jpg,,,,,,,,,, +小齿芒毛苣苔,Aeschynanthus denticuliger,王启无,85615,1939/12/12,云南,1200,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0269342.jpg,,,,,,,,,, +小齿芒毛苣苔,Aeschynanthus denticuliger,邓敏、刘艳春,DL439,20111102,云南省,1607,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0008558.jpg,,,,,,,,,, +小齿芒毛苣苔,Aeschynanthus denticuliger,中越考察队,125,19641207,,1550~1600,附寄生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123953.jpg,,,,,,,,,, +细芒毛苣苔,Aeschynanthus gracilis,"刘成, 亚吉东, 李昌洪",18CS16730,20180319,云南,925,附生于沟谷树上,附生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486792.jpg,,,,,,,,,, +,Aeschynanthus gracilis,税玉民,3850,19931030,云南省,1420,山坡,密林下,树干上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00155734.jpg,,,,,,,,,, +,Aeschynanthus gracilis,中越考察队,125,19641207,西山,1550~1600,附寄生,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0205977.jpg,,,,,,,,,, +束花芒毛苣苔,Aeschynanthus hookeri,郭绍荣,,,云南省,,树上附生,,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0020587.jpg,,,,,,,,,, +束花芒毛苣苔,Aeschynanthus hookeri,C.W.Wang,77347,19360700,云南省 ,1900,,On tcttcn trunk,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00242532.jpg,,,,,,,,,, +束花芒毛苣苔,Aeschynanthus hookeri,宋鼎;张桥蓉;赵国放;张辽;杨斌,CN388,20190804,云南,2571,附生在树干上,亚灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1552726.jpg,,,,,,,,,, +条叶芒毛苣苔,Aeschynanthus linearifolius,刘成,袁羿,李彩斌,李昌洪,12CS4464,20120616,云南,2236,河边枯树上,附生草本,,https://image.cvh.ac.cn/files/l/KUN/1385144.jpg,,,,,,,,,, +倒披针芒毛苣苔,Aeschynanthus linearifolius,武素功,8053,19640715,云南省 ,2400,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00048801.jpg,,,,,,,,,, +条叶芒毛苣苔,Aeschynanthus linearifolius,生物研究所西藏考察队,1686,19730805,西藏自治区,2100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/39534.jpg,,,,,,,,,, +具斑芒毛苣苔,Aeschynanthus maculatus,俞德浚,19427,19280726,云南省,1700,upon back of tree,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0206098.jpg,,,,,,,,,, +具斑芒毛苣苔,Aeschynanthus maculatus,青藏队,5654,19750608,西藏自治区,2500,山坡次生杂木林中,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0206101.jpg,,,,,,,,,, +,Aeschynanthus micranthus,"Wang, C.W.",79443,Oct-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00062762.jpg,,,,,,,,,, +大花芒毛苣苔,Aeschynanthus mimetes,780队,258,19781111,云南省,2000,附生树上,,无花有果,https://image.cvh.ac.cn/files/l/SXU/SD00010969.jpg,,,,,,,,,, +大花芒毛苣苔,Aeschynanthus mimetes,刘成,亚吉东,何华杰,李昌洪,16CS11994,20161120,西藏,1459,附生于路边大树上,附生植物,无花无果,https://image.cvh.ac.cn/files/l/KUN/1436512.jpg,,,,,,,,,, +大花芒毛苣苔,Aeschynanthus mimetes,刘成,李欣,赵金超,杨红强,19CS18159,20190831,云南,1081,林缘山坡,附生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506493.jpg,,,,,,,,,, +,Aeschynanthus monetaria,,,,,,,,,,,,,,,,,,, +,Aeschynanthus parasiticus,,,,,,,,,,,,,,,,,,, +,Aeschynanthus parviflorus,H.Ohba H.Kanai,8311275,19830811,Shemma,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0206145.jpg,,,,,,,,,, +,Aeschynanthus stenosepalus,青藏队,74-4133,19740806,西藏自治区,,山坡岩石上阴处,,无花无果,https://image.cvh.ac.cn/files/l/PE/00140039.jpg,,,,,,,,,, +尾叶芒毛苣苔,Aeschynanthus stenosepalus,"刘成, 亚吉东, 李昌洪",18CS17174,20181111,西藏,1824,路上方山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486718.jpg,,,,,,,,,, +尾叶芒毛苣苔,Aeschynanthus stenosepalus,方震东、张翔宇、陈涛、张晓均,DJDC-351,20160418,云南省,1420,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000238.jpg,,,,,,,,,, +华丽芒毛苣苔,Aeschynanthus superbus,陶国达,49131,19911218,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/057086.jpg,,,,,,,,,, +华丽芒毛苣苔,Aeschynanthus superbus,G.Forrest,11743,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0548422.jpg,,,,,,,,,, +华丽芒毛苣苔,Aeschynanthus superbus,亚吉东;张伟,19CS18580,20190813,云南,1135,石灰山,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1555187.jpg,,,,,,,,,, +,Agapetes acuminata,,,,,,,,,,,,,,,,,,, +棱枝树萝卜,Agapetes angulata,贺善安,张敖罗,1880,19820816,Washington,1680,疏灌丛下,,有果无花,https://image.cvh.ac.cn/files/l/KUN/34359.jpg,,,,,,,,,, +棱枝树萝卜,Agapetes angulata,James L.Luteyn,6382,19781207,亚马孙,3500~3290,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/31235.jpg,,,,,,,,,, +棱枝树萝卜,Agapetes angulata,独龙江考察队,4186,19910304,云南省,1310,河岸边树上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/30967.jpg,,,,,,,,,, +,Agapetes atrosanguinea,,,,,,,,,,,,,,,,,,, +,Agapetes buxifolia,,,,,,,,,,,,,,,,,,, +,Agapetes discolor,,,,,,,,,,,,,,,,,,, +伞花树萝卜,Agapetes forrestii,G.Forrest,26583,空,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0002568.jpg,,,,,,,,,, +伞花树萝卜,Agapetes forrestii,G. Forrest,26583,19250500,云南省,2550~2600,on cliffs and forest trees,,无花无果,https://image.cvh.ac.cn/files/l/PE/00195226.jpg,,,,,,,,,, +,Agapetes forrestii,G. Forrest,26583,25-May,,7000~8000,,,,https://image.cvh.ac.cn/files/l/NY/00008156.jpg,,,,,,,,,, +,Agapetes graciliflora,,,,,,,,,,,,,,,,,,, +,Agapetes griffithii,,,,,,,,,,,,,,,,,,, +,Agapetes huangiana,,,,,,,,,,,,,,,,,,, +,Agapetes hyalocheilos,,,,,,,,,,,,,,,,,,, +,Agapetes incurvata,,,,,,,,,,,,,,,,,,, +,Agapetes interdicta,"蔡杰,刘恩德,郭永杰",13CS7697,20130531,西藏自治区,2177,林缘树上,附生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375383.jpg,,,,,,,,,, +狭萼中型树萝卜,Agapetes interdicta,H.Ohashi etc.,770206,19770729,Topke Gola,2100~1600,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/30995.jpg,,,,,,,,,, +狭萼中型树萝卜,Agapetes interdicta,独龙江考察队,4002,19910211,云南省,2500,常绿林附生,,有花无果,https://image.cvh.ac.cn/files/l/KUN/30991.jpg,,,,,,,,,, +灯笼花,Agapetes lacei,"阿国仁, 罗新洪, 李敏, 何贵才, 邹国娟, 常学科",NJWLS2008137,20081205,云南,,坡地,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1304476.jpg,,,,,,,,,, +灯笼花,Agapetes lacei,谷忠村,705082,19890705,湖南省,,山坡,乔木,无花无果,https://image.cvh.ac.cn/files/l/JIU/JIU19834.jpg,,,,,,,,,, +灯笼花,Agapetes lacei,钟鑫、曲上、黄姝博,ZX01782,20180415,浙江,725.7,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0154834.jpg,,,,,,,,,, +,Agapetes lacei var. glaberrima,,,,,,,,,,,,,,,,,,, +绒毛灯笼花,Agapetes lacei var. tomentella,,1071,19800414,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/073858.jpg,,,,,,,,,, +,Agapetes listeri,,,,,,,,,,,,,,,,,,, +,Agapetes megacarpa,"Forrest, George",13698,17-Apr,,,,,,https://image.cvh.ac.cn/files/l/E/E00327799.jpg,,,,,,,,,, +,Agapetes miniata,,,,,,,,,,,,,,,,,,, +,Agapetes miranda,"Ludlow, Sherriff, & Taylor",3718,6-May-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00327770.jpg,,,,,,,,,, +,Agapetes nutans,,,,,,,,,,,,,,,,,,, +,Agapetes nuttallii,,,,,,,,,,,,,,,,,,, +,Agapetes pilifera,,,,,,,,,,,,,,,,,,, +,Agapetes praestigiosa,,,,,,,,,,,,,,,,,,, +,Agapetes pyrolifolia,,,,,,,,,,,,,,,,,,, +,Agapetes refracta,,,,,,,,,,,,,,,,,,, +五翅莓,Agapetes serpens,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201253,20200725,西藏,2274,石坡林缘,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1505530.jpg,,,,,,,,,, +五翅莓,Agapetes serpens,"张永田,郞楷永",3206,19660505,西藏自治区,1800,附生于Chilus 上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00195248.jpg,,,,,,,,,, +五翅莓,Agapetes serpens,刘慎谔,6338,19320312,,2185,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00195247.jpg,,,,,,,,,, +,Agapetes subansirica,,,,,,,,,,,,,,,,,,, +,Agapetes variegata,J. F. Mokwell,95-656,19950911,,1475,"Partly open, fire-maintained, seasonal, mixed evergreen harwook and pine forest; granite bedrock; ridge area",,无花无果,https://image.cvh.ac.cn/files/l/PE/00194651.jpg,,,,,,,,,, +,Agapetes xiana,,,,,,,,,,,,,,,,,,, +藿香,Agastache rugosa,闫小玲、王樟华、李惠茹、严靖,RQHD01355,20141010,浙江省,37,房前屋后,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0103295.jpg,,,,,,,,,, +藿香,Agastache rugosa,,948,19130000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0563844.jpg,,,,,,,,,, +藿香,Agastache rugosa,周海城,ZhouHC132,20190921,吉林,732,次生林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1481772.jpg,,,,,,,,,, +破坏草,Ageratina adenophora,朱鑫鑫;王君;王美华;林庶;许敏;多吉;尼玛顿珠,ZXX201406,20200801,西藏,2613,岩壁上,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1508691.jpg,,,,,,,,,, +紫茎泽兰,Ageratina adenophora,刘正宇、张军等,RQHZ06339,20141107,四川省,1649,荒地,草本,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0132322.jpg,,,,,,,,,, +破坏草,Ageratina adenophora,凌云普查队,4.51E+14,20130315,广西壮族自治区,1200,草丛,路旁,石灰土,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI056000.jpg,,,,,,,,,, +藿香蓟,Ageratum conyzoides,李恩香、李健星、鲍志贵、胡旭、王盛鸿、曾来宾,NCU201507MTS0227,20150724,江西省,,,,无花有果,https://image.cvh.ac.cn/files/l/JXU/JXU0008065.jpg,,,,,,,,,, +,Ageratum conyzoides,C.Y.Chiao,0,192708,江苏,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0062264.jpg,,,,,,,,,, +藿香蓟,Ageratum conyzoides,蓝祖栽,李莹,林杨,刘威,451025130315009LY,20130315,广西壮族自治区,564,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0106365.jpg,,,,,,,,,, +熊耳草,Ageratum houstonianum,王薇,3555,19640819,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/14199999x0001.jpg,,,,,,,,,, +熊耳草,Ageratum houstonianum,刘全儒,孟世勇,,20090207,广西省,257,路边,草本,,https://image.cvh.ac.cn/files/l/BNU/0020991.jpg,,,,,,,,,, +熊耳草,Ageratum houstonianum,吴从万,1001,20021204,贵州,700,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830993.jpg,,,,,,,,,, +,Aglaia chittagonga,T.Y.A.Yang et al.,14965,20020617,台湾省,331,"Trailside,beside ditch,forest margin",,无花有果,https://image.cvh.ac.cn/files/l/PE/01983728.jpg,,,,,,,,,, +马肾果,Aglaia edulis,"朱鑫鑫,王君,肖波,赵权龙",ZXX19009,20190102,云南,1069,热带季雨林,林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1438802.jpg,,,,,,,,,, +山椤,Aglaia elaeagnoidea,梁永延、朱运喜,B0011,20071009,广西壮族自治区,670,石灰岩山坡阔叶林,直立草本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00222301.jpg,,,,,,,,,, +山椤,Aglaia elaeagnoidea,杨平、李健玲、刘志荣等,BL315,20191003,广西,~573,石灰岩石山;普遍,乔木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00428789.jpg,,,,,,,,,, +望谟崖摩,Aglaia lawii,"刘成, 亚吉东, 李昌洪",18CS16729,20180319,云南,903,沟谷林缘路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486793.jpg,,,,,,,,,, +,Aglaia lawii,中越考察队,2340,19650216,,360~460,老林下,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0500743.jpg,,,,,,,,,, +四瓣米仔兰,Aglaia lawii,平乐县普查队,450330181109008LY,20181109,广西,173,阔叶林,阴坡,石灰土,少野生,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00412916.jpg,,,,,,,,,, +碧绿米仔兰,Aglaia perviridis,,108063,19600818,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/028466.jpg,,,,,,,,,, +碧绿米仔兰,Aglaia perviridis,"张挺, 刘成",14CS9586,20141220,云南,,河岸山坡林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1399436.jpg,,,,,,,,,, +碧绿米仔兰,Aglaia perviridis,C.W.Wang,79064,19360900,云南省 ,1600,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0215985.jpg,,,,,,,,,, +曲梗崖摩,Aglaia spectabilis,沐先运,156,20110817,云南,700,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00081518.jpg,,,,,,,,,, +曲梗崖摩,Aglaia spectabilis,大瑶山综考队,812174,19820406,广西壮族自治区,360,山坡,密林,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00407331.jpg,,,,,,,,,, +沙蓬,Agriophyllum squarrosum,张粤、苏道岩、孙睿、刘焕楚,XM688,20150731,内蒙古自治区通辽市,300.2,草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0238988.jpg,,,,,,,,,, +沙蓬,Agriophyllum squarrosum,"何志斌, 杜军, 陈龙飞, 杜维波, 李晶, 赵敏敏, 田全彦, 房舒",HHZA0111,20160905,宁夏,1055,温带草原湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1449438.jpg,,,,,,,,,, +沙蓬,Agriophyllum squarrosum,殷学波,257,20010720,内蒙,,沙地,,,https://image.cvh.ac.cn/files/l/BJM/159407.jpg,,,,,,,,,, +,Agriophyllum tibeticum,,,,,,,,,,,,,,,,,,, +茜树,Aidia cochinchinensis,赵良成;徐申健;王奥;孙阔,BJFUZLC019B09,20181124,重庆,752,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1563724.jpg,,,,,,,,,, +茜树,Aidia cochinchinensis,赖书绅,等,5021,19980710,江西省,400,山谷林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00628945.jpg,,,,,,,,,, +茜树,Aidia cochinchinensis,D.E.Boufford etc.,25030,19890924,台湾,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/359500.jpg,,,,,,,,,, +,Ailanthus altissima,联大,,,云南省 ,0,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0500074.jpg,,,,,,,,,, +臭椿,Ailanthus altissima,付坤俊,10478,1957/8/18,陕西省  ,1200,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0483161.jpg,,,,,,,,,, +臭椿,Ailanthus altissima,郭本兆,5066,1964/6/24,甘肃省 ,1200,,乔木直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0231085.jpg,,,,,,,,,, +常绿臭椿,Ailanthus fordii,毛志伟,500,20191117,福建,362,路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/AU/AU081839.jpg,,,,,,,,,, +常绿臭椿,Ailanthus fordii,叶国栋,982,19790201,福建省,,山坡路边栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/01381352.jpg,,,,,,,,,, +常绿臭椿,Ailanthus fordii,大瑶山综考队,13759,19820331,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00193479.jpg,,,,,,,,,, +,Ailanthus integrifolia subsp. calycina,,,,,,,,,,,,,,,,,,, +狭叶兔儿风,Ainsliaea angustifolia,元江县普查队,5304280124,20120427,云南省,2310,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0018030.jpg,,,,,,,,,, +,Ainsliaea angustifolia,胡君、李丽、罗垚、蒋洪,SC-a-162-B22,20190911,四川,2365,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274043.jpg,,,,,,,,,, +狭叶兔儿风,Ainsliaea angustifolia,张陆玉,522428151015070 LY,20151015,贵州省,1899.8,野生植物、中生、耐阴、阔叶林、沙土、中温,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0061603.jpg,,,,,,,,,, +无翅兔儿风,Ainsliaea aptera,方震东、和光、杨亲二,XZ-188,20070922,西藏自治区,3080,林芝云杉下,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001960.jpg,,,,,,,,,, +无翅兔儿风,Ainsliaea aptera,"金效华,王利松,刘恩德",156,20020911,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797021.jpg,,,,,,,,,, +无翅兔儿风,Ainsliaea aptera,Walter Koelz,129,19300628,,3355,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0515568.jpg,,,,,,,,,, +,Ainsliaea fulvipes,"Howell, E.B.",252,,,,,,,https://image.cvh.ac.cn/files/l/E/E00209495.jpg,,,,,,,,,, +黄毛兔儿风,Ainsliaea fulvipes,雅鲁藏布江大考察队,821,19940921,西藏自治区,2980,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0515673.jpg,,,,,,,,,, +黄毛兔儿风,Ainsliaea fulvipes,方震东、海仙、谢爱芳,DJDC-456,20160516,云南省,1758,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000352.jpg,,,,,,,,,, +长穗兔儿风,Ainsliaea henryi,高元龙,852,19911009,福建省,,山坡林下或沟边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/FJSI023560.jpg,,,,,,,,,, +长穗兔儿风,Ainsliaea henryi,李永康,11101,19821022,贵州省,1200,山下部疏林下,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00037911.jpg,,,,,,,,,, +长穗兔儿风,Ainsliaea henryi,李克纲,xnshs773,20150823,湖南省,,,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/JIU/JIU05627.jpg,,,,,,,,,, +宽叶兔儿风,Ainsliaea latifolia,方震东,WX-74,20041114,云南省 ,3065,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 008108.jpg,,,,,,,,,, +宽叶兔儿风,Ainsliaea latifolia,杨泽伟,522226190809012LY,20190809,贵州,1013,草丛、中生、阳性、中温、碱土、野生植物,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0103933.jpg,,,,,,,,,, +宽穗兔儿风,Ainsliaea latifolia,武素功,8950,19640917,云南省,3090,山坡杂木林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0036296.jpg,,,,,,,,,, +玉山鬼督邮,Ainsliaea reflexa,蔡希陶,58734,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0036717.jpg,,,,,,,,,, +长柄兔儿风,Ainsliaea reflexa,侯学良、张若鹏,90904,20170930,福建省,1569,林内,草本,有花有果,https://image.cvh.ac.cn/files/l/AU/AU062443.jpg,,,,,,,,,, +反卷兔儿风,Ainsliaea reflexa,,,19810613,云南省,3400,云杉混交林,草本,,https://image.cvh.ac.cn/files/l/HITBC/0018251.jpg,,,,,,,,,, +细穗兔儿风,Ainsliaea spicata,宋鼎;刘敏;魏定名;杨龙斌;李双斌;张桥蓉,CN033,20190217,云南,1244,江边松林中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1550856.jpg,,,,,,,,,, +,Ainsliaea spicata,钟补求,6733,19520704,西藏自治区,3400,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00597265.jpg,,,,,,,,,, +细穗兔儿风,Ainsliaea spicata,吕惠珍、岑海锋、李金花,451031150311029LY,20150311,广西,,阔叶林,林下,黄棕壤,草本,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0190781.jpg,,,,,,,,,, +,Ainsliaea yunnanensis,"Delavay, J.M.",608b,1882-10-3,,,,,,https://image.cvh.ac.cn/files/l/P/P00178095.jpg,,,,,,,,,, +云南兔儿风,Ainsliaea yunnanensis,梁向日,61361,1931/10/11,广东,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0110749.jpg,,,,,,,,,, +,Ainsliaea yunnanensis,Chien,5512,,湖北,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0062199.jpg,,,,,,,,,, +新疆亚菊,Ajania fastigiata,,1554,1965.8.2,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00038978.jpg,,,,,,,,,, +新疆亚菊,Ajania fastigiata,路端正,,19970906,新疆,1150,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00007333.jpg,,,,,,,,,, +新疆亚菊,Ajania fastigiata,青藏队,7148,19750801,西藏自治区,4100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/50484.jpg,,,,,,,,,, +灌木亚菊,Ajania fruticulosa,张珍万,496,19520917,宁夏回族自治区,,山坡上土质较坚硬,,,https://image.cvh.ac.cn/files/l/IBK/IBK00345128.jpg,,,,,,,,,, +灌木亚菊,Ajania fruticulosa,何毅,BNU2017XZ221,20170829,西藏自治区,3800,河谷灌丛,,有花有果,https://image.cvh.ac.cn/files/l/BNU/0039492.jpg,,,,,,,,,, +灌木亚菊,Ajania fruticulosa,黄河队,7611,1956/7/29,陕西,,,直立草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0087335.jpg,,,,,,,,,, +多枝亚菊,Ajania gracilis,生物研究所西藏考察队,3458,19740710,西藏自治区,4230,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/41112.jpg,,,,,,,,,, +,Ajania gracilis,中国科学院新疆综合考察队,K-88,19590513,新疆维吾尔自治区,2700,昆仑前山带细土质坡阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00386993.jpg,,,,,,,,,, +铺散亚菊,Ajania khartensis,于兆英,904,1980/9/15,内蒙,2000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0450042.jpg,,,,,,,,,, +铺散亚菊,Ajania khartensis,刘全儒,ALS106,20060712-20,内蒙古,,荒漠,草本,,https://image.cvh.ac.cn/files/l/BNU/0019066.jpg,,,,,,,,,, +铺散亚菊,Ajania khartensis,倪志诚 汪永泽 次多 次旦,1166,19800816,西藏自治区,4200,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0007964.jpg,,,,,,,,,, +多花亚菊,Ajania myriantha,刘坤,LiuJQ-GN-462,20111003,甘肃省,0~2725,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0283193.jpg,,,,,,,,,, +多花亚菊,Ajania myriantha,向春雷,刘恩德,赵飞,1806,20190905,云南,2949,Slope,herb,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512117.jpg,,,,,,,,,, +多花亚菊,Ajania myriantha,丁一,3204,20120701,河南,268,山地,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1903204.jpg,,,,,,,,,, +黄花亚菊,Ajania nubigena,青藏队,7148,19750801,西藏自治区,4100,山坡草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420030.jpg,,,,,,,,,, +黄花亚菊,Ajania nubigena,T.P. Wang,7740,1937/9/17,四川省,3200,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0418770.jpg,,,,,,,,,, +,Ajania penicilliformis,,,,,,,,,,,,,,,,,,, +细裂亚菊,Ajania przewalskii,王作宾,17140,1953/8/6,宁夏,2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0071800.jpg,,,,,,,,,, +细裂亚菊,Ajania przewalskii,何叶琪,4262,1959/7/22,甘肃,2800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0389740.jpg,,,,,,,,,, +细裂亚菊,Ajania przewalskii,George Forrest,22382,19220900,西藏自治区,3667,Open rocky meadows and on ledges of cliffs in side valleys,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420096.jpg,,,,,,,,,, +单头亚菊,Ajania scharnhorstii,吴玉虎,35924,20050806,青海省,4650,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0223631.jpg,,,,,,,,,, +单头亚菊,Ajania scharnhorstii,青藏队,8682,19760817,西藏自治区,5100,高山流石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0036967.jpg,,,,,,,,,, +新疆亚菊,Ajania scharnhorstii,,770192,19770710,新疆,3200,,,,https://image.cvh.ac.cn/files/l/BJM/169929.jpg,,,,,,,,,, +细叶亚菊,Ajania tenuifolia,刘坤,LiuJQ-GN-465,20110816,甘肃省,0~3525,退化草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0283182.jpg,,,,,,,,,, +细叶亚菊,Ajania tenuifolia,张相宜、成瑞瑜、郭泳棂,CRY-00-AA-11-059,20200927,四川,3494,灌草丛山坡,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02063794.jpg,,,,,,,,,, +细叶亚菊,Ajania tenuifolia,高庆波、贾留坤,Gao2017116a,20170803,青海,4349,荒漠草原,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026386.jpg,,,,,,,,,, +西藏亚菊,Ajania tibetica,倪志诚 汪永泽 次多 次旦,1223,19800817,西藏自治区,4800,高山流石坡中,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0007957.jpg,,,,,,,,,, +西藏亚菊,Ajania tibetica,T.T.Yu,12808,19370821,四川省,3900,margin of thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00420246.jpg,,,,,,,,,, +西藏亚菊,Ajania tibetica,刘海原,27,19860904,新疆维吾尔自治区 ,0~3500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/134781.jpg,,,,,,,,,, +矮亚菊,Ajania trilobata,刘全儒,ALT.392,20140801,新疆省,4126,荒漠,灌木,,https://image.cvh.ac.cn/files/l/BNU/0027597.jpg,,,,,,,,,, +矮亚菊,Ajania trilobata,生物研究所西藏考察队,3716,19740721,西藏自治区,4900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/41135.jpg,,,,,,,,,, +矮亚菊,Ajania trilobata,不祥,580,19590705,青海省,4080,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/002315.jpg,,,,,,,,,, +,Ajuga bracteosa,王乾、顾健,SCW1341,20200627,四川,3383.5,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274720.jpg,,,,,,,,,, +九味一枝蒿,Ajuga bracteosa,元江县普查队,5304280602,20120609,云南省,1803,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0021740.jpg,,,,,,,,,, +九味一枝蒿,Ajuga bracteosa,管中天,8066,19590423,四川省,1900~2200,山坡中都,,有花无果,https://image.cvh.ac.cn/files/l/KUN/76923.jpg,,,,,,,,,, +弯花筋骨草,Ajuga campylantha,西藏中草药普查队,3411,19720616,西藏自治区,2500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0218562.jpg,,,,,,,,,, +弯花筋骨草,Ajuga campylantha,T.T.Yu,1585,19320000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00958613.jpg,,,,,,,,,, +,Ajuga campylantha,,10661,19380705,湖南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0057299.jpg,,,,,,,,,, +金疮小草,Ajuga decumbens,王启无,65685,19350800,西藏自治区,3200,Rocky slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00694715.jpg,,,,,,,,,, +金疮小草,Ajuga decumbens,刘心祈,26306,19360417,海南省,,野生,密林中,中等土,斜坡东,密阴,干燥,普遍散生,草本直立,,https://image.cvh.ac.cn/files/l/IBK/IBK00341568.jpg,,,,,,,,,, +金疮小草,Ajuga decumbens,刘克明,6118,20070501,湖南,,路边,直立草本,有花无果,https://image.cvh.ac.cn/files/l/HNNU/HNNU00063925.jpg,,,,,,,,,, +无名草,Ajuga forrestii,98园林第3组,222,19990615,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0016185.jpg,,,,,,,,,, +痢止蒿,Ajuga forrestii,王跃华;申仕康等,YNUWYH015B05,20190801,云南,2359,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1564994.jpg,,,,,,,,,, +痢止蒿,Ajuga forrestii,,74,19820928,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/080170.jpg,,,,,,,,,, +匐枝筋骨草,Ajuga lobata,青藏队,6073,19750629,西藏自治区,2800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/49052.jpg,,,,,,,,,, +匐枝筋骨草,Ajuga lobata,李沈,74,19631106,湖南省,,,小草,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00219818.jpg,,,,,,,,,, +匍枝筋骨草,Ajuga lobata,青藏队,1435,19830925,四川省,2900,山坡铁杉林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/211712.jpg,,,,,,,,,, +白苞筋骨草,Ajuga lupulina,聂秀青、熊丰、肖元明、多杰才旦,QHGC0419,20170807,青海,4053,高原、高寒灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027276.jpg,,,,,,,,,, +白苞筋骨草,Ajuga lupulina,Licent,9941,19300821,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00049477.jpg,,,,,,,,,, +白苞筋骨草(原变种),Ajuga lupulina,谢登峰、蔡竞、秦换换,SC-00-010-A-052,20200821,四川,3513.87m,高山草原灌丛,阴生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02062437.jpg,,,,,,,,,, +大籽筋骨草,Ajuga macrosperma,唐国旺,李紫默,TangGW977,20201229,广东,298,亚热带季风阔叶林小路边,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1509714.jpg,,,,,,,,,, +大苞筋骨草,Ajuga macrosperma,赵爱爱,1603040,,山西,,,,有花无果,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0002007.jpg,,,,,,,,,, +大好筋骨草,Ajuga macrosperma,,,19830908,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/080174.jpg,,,,,,,,,, +矮生紫背金盘,Ajuga nipponensis,蒋英,435,19170514,广东,,河旁,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU086064.jpg,,,,,,,,,, +紫背金盘,Ajuga nipponensis,陈功锡,张代贵,LXP-06-4101,20150606,江西省,433,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU13431.jpg,,,,,,,,,, +,Ajuga nipponensis,刘团举,12,19510312,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/FJSI/004610.jpg,,,,,,,,,, +美花,Ajuga ovalifolia var. calantha,刘林翰,1568,1958/5/8,湖南省,1000,,草本,直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0328215.jpg,,,,,,,,,, +美花,Ajuga ovalifolia var. calantha,K.S.Hao,610,1930/4/7,甘肃,3000,,Herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0014127.jpg,,,,,,,,,, +美花圆叶筋骨草,Ajuga ovalifolia var. calantha,武晓宇,张晓蕾,QH2014139,20140718,青海省,,山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0019983.jpg,,,,,,,,,, +高山八角枫,Alangium alpinum,PE西藏队,PE6215,20170910,西藏自治区,2488~2994,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02330396.jpg,,,,,,,,,, +高山八角枫,Alangium alpinum,赵良成,3,19730725,西藏,2300,针阔混交林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00060242.jpg,,,,,,,,,, +高山八角枫,Alangium alpinum,George Forrest,24724,19240700,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028388.jpg,,,,,,,,,, +八角枫,Alangium chinense,K.C.Yang,5572,19990504,台湾省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01983752.jpg,,,,,,,,,, +八角枫,Alangium chinense,张代贵,YH140621539,20140621,湖南常德,,路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU44539.jpg,,,,,,,,,, +八角枫,Alangium chinense,"张挺, 郭永杰, 韩国营, 赵厚涛|690",10CS1791,20100615,贵州,,石灰岩山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1395492.jpg,,,,,,,,,, +长果八角枫,Alangium faberi var. dolichocarpum,陈伟烈,15068,19800917,西藏自治区,1200,林下灌木群中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028008.jpg,,,,,,,,,, +毛八角枫,Alangium kurzii,"关,戴",164,19600527,河南省,680,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028180.jpg,,,,,,,,,, +毛八角枫,Alangium kurzii,刘忠华 张林,环-北京林业大学队,20110807,贵州,,阔叶林中,落叶乔木,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00078962.jpg,,,,,,,,,, +毛八角枫,Alangium kurzii,H.F.Sun,63,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00982260.jpg,,,,,,,,,, +蜀葵,Alcea rosea,陈景方,2548,19931021,广东省,15,园内,草本,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00029996.jpg,,,,,,,,,, +蜀葵,Alcea rosea,资源县普查队,450329150621019LY,20150621,广西,799,灌丛,路旁,黄棕壤,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0172180.jpg,,,,,,,,,, +蜀葵,Alcea rosea,朱鑫鑫;王君;王美华,ZXX201723,20200814,西藏,3615,草坪里,二年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508787.jpg,,,,,,,,,, +黑蒴,Alectra arvensis,"刘恩德,刘振稳,邹娇,王存花,陈志坚",LED10260,20201209,云南,1293,山地林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512092.jpg,,,,,,,,,, +黑蒴,Alectra arvensis,"刘成, 亚吉东, 李昌洪",18CS17172,20181111,西藏,1760,路上方草坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1482765.jpg,,,,,,,,,, +黑蒴,Alectra arvensis,徐永福,200707088,20070801,湖南,,,,,https://image.cvh.ac.cn/files/l/CSFI/CSFI054183.jpg,,,,,,,,,, +软枝黄蝉,Allamanda cathartica,侯元同,郭成勇,侯元免,曹灵杰,20180426304-3,20180429,海南,8,路边绿化带,灌木,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0048821.jpg,,,,,,,,,, +软枝黄蝉,Allamanda cathartica,谢彦军、梁树朝,B0276,20100720,广西,~3,平原,路旁;普遍;栽培,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00435605.jpg,,,,,,,,,, +软枝黄蝉,Allamanda cathartica,杨金财,胡仁传,刘静等,LH0529,20110902,广西壮族自治区,170,路旁密林,少见,灌木,,https://image.cvh.ac.cn/files/l/IBK/IBK00307350.jpg,,,,,,,,,, +扁毛菊,Allardia glabra,青藏队吴玉虎,1250,19870829,新疆,5250,流石坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028484.jpg,,,,,,,,,, +扁毛菊,Allardia glabra,青藏队,76-8271,19760722,西藏,4800,碎石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028485.jpg,,,,,,,,,, +,Allardia huegelii,,,,,,,,,,,,,,,,,,, +,Allardia nivea,T. Thomson,556,,,4572~5181.6,,,,https://image.cvh.ac.cn/files/l/NY/00158142.jpg,,,,,,,,,, +,Allardia stoliczkae,,,,,,,,,,,,,,,,,,, +,Allardia tomentosa,,,,,,,,,,,,,,,,,,, +,Allardia vestita,"Thomson, T.",,,,,,,,https://image.cvh.ac.cn/files/l/P/P04453860.jpg,,,,,,,,,, +赤杨,Alniphyllum fortunei,Fung.H,,19360000,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2011924.jpg,,,,,,,,,, +赤杨,Alniphyllum fortunei,C.T.Hwa,,19480920,湖北,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2011938.jpg,,,,,,,,,, +赤杨叶,Alniphyllum fortunei,曲桂龄,1093,19320000,重庆,1200,in shrub,smalltree,有花有果,https://image.cvh.ac.cn/files/l/CQNM/0010960.jpg,,,,,,,,,, +广西鸡骨常山,Alstonia neriifolia,刘恩德,向春雷,赵飞,4034,20130704,广西壮族自治区,600,"in thickets,top of limestone hill",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241530.jpg,,,,,,,,,, +黄蝉,Alstonia neriifolia,,6459,19671026,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/034489.jpg,,,,,,,,,, +糖胶树,Alstonia scholaris,陆小鸿 梁凯丽,801,19851225,,,,,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI053662.jpg,,,,,,,,,, +糖胶树,Alstonia scholaris,王定耀,1888,19920323,广东省,60,园内,灌木,,https://image.cvh.ac.cn/files/l/SZG/SZG00049843.jpg,,,,,,,,,, +糖胶树,Alstonia scholaris,科技部,2834,19940320,海南省 ,,,乔木,,https://image.cvh.ac.cn/files/l/SZG/SZG00049838.jpg,,,,,,,,,, +喜旱莲子草,Alternanthera philoxeroides,李惠茹等,LHR00147,20140529,上海,0,荒地,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0003573.jpg,,,,,,,,,, +,Alternanthera philoxeroides,C.M.Wang,5651,20020525,福建省,,"On unplowing,exposed site.",,有花无果,https://image.cvh.ac.cn/files/l/PE/01900968.jpg,,,,,,,,,, +,Alternanthera philoxeroides,H.Migo,s.n.,19340622,上海市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00131905.jpg,,,,,,,,,, +刺花莲子草,Alternanthera pungens,李泽贤、邢福武,4070,19880501,海南省,130,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0190005.jpg,,,,,,,,,, +,Alternanthera pungens,胡光万,HGW-00268,20080605,云南,2145,,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1245466.jpg,,,,,,,,,, +刺花莲子草,Alternanthera pungens,攀枝花苏铁考察队,70,20100711,四川省,1613,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869497.jpg,,,,,,,,,, +莲子草,Alternanthera sessilis,,93001,19930600,安徽省,,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00150026.jpg,,,,,,,,,, +莲子草,Alternanthera sessilis,Yui-Ching Kao,1304,20100416,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873783.jpg,,,,,,,,,, +莲子草,Alternanthera sessilis,C.O.Levine,s.n.,19171001,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01603885.jpg,,,,,,,,,, +念珠藤,Alyxia fascicularis,曾宪锋,ZXF6058,2005/6/3,广东省,,,,,https://image.cvh.ac.cn/files/l/CZH/CZH0003132.jpg,,,,,,,,,, +凹头苋,Amaranthus blitum,李宏庆等,SDP29490,20121007,上海市,,河边,,无花无果,https://image.cvh.ac.cn/files/l/CSH/0007630.jpg,,,,,,,,,, +凹头苋,Amaranthus blitum,"Lau, S.K.",2056,1933/8/8,广东; KWANGTUNG,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00063888.jpg,,,,,,,,,, +凹头苋,Amaranthus blitum,李振宇、向小果、徐松芝,201509155,20150921,湖南,,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0141853.jpg,,,,,,,,,, +,Amaranthus caudatus,张娆挺、陈方和,2745,19910312,福建,,,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU069761.jpg,,,,,,,,,, +尾穗苋,Amaranthus caudatus,无,70439,197011,江西,,,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0009091.jpg,,,,,,,,,, +,Amaranthus caudatus,赵佐成,304,19930905,四川省,1000,山坡 沟边 地中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01842712.jpg,,,,,,,,,, +繁穗苋,Amaranthus cruentus,"朱鑫鑫, 王金丹, 林庶, 刘晴, 梁俊生",ZXX18379,20180921,河南,687,亚热带常绿阔叶林,寺庙院落,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444869.jpg,,,,,,,,,, +,Amaranthus cruentus,李惠茹,王樟华,闫小玲,严靖,RQHDO0623,20140830,安徽省,68,房前屋后,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1263400.jpg,,,,,,,,,, +,Amaranthus cruentus,金佛山考察队,1427,19860630,重庆市,650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00890432.jpg,,,,,,,,,, +,Amaranthus graecizans subsp. thellungianus,,,,,,,,,,,,,,,,,,, +绿穗苋,Amaranthus hybridus,李恩香,pyh00026,20161113,江西,,,,有花有果,https://image.cvh.ac.cn/files/l/JXU/JXU0020489.jpg,,,,,,,,,, +,Amaranthus hybridus,刘淼,SCSB-JSB06,20071009,安徽,177,空旷荒地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1245567.jpg,,,,,,,,,, +绿穗苋,Amaranthus hybridus,赵佐成,88-2595,19880906,贵州省,1000,阳坡地边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01376019.jpg,,,,,,,,,, +千穗谷,Amaranthus hypochondriacus,刘正宇、张军等,RQHZ06409,20140925,重庆,909,荒地,草本,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0132238.jpg,,,,,,,,,, +,Amaranthus hypochondriacus,汪发缵,2500,,云南省 ,0,,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0557127.jpg,,,,,,,,,, +千穗谷,Amaranthus hypochondriacus,谭策铭,1426,20010913,江西,40,花圃栽培,一年生草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0058828.jpg,,,,,,,,,, +反枝苋,Amaranthus retroflexus,"杨帆, 马红媛, 安丰华",SNA0809,20150911,吉林,150,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1485545.jpg,,,,,,,,,, +反枝苋,Amaranthus retroflexus,"刘奥, 王广阳",WBG000442,20160714,山东,23,温带落叶阔叶林;废工厂,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1458017.jpg,,,,,,,,,, +反枝苋,Amaranthus retroflexus,黄河调查队,649,19540720,甘肃省,1200,路旁 阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607610.jpg,,,,,,,,,, +刺苋,Amaranthus spinosus,K. Hisauti,,1927/9/9,Hondo: Tokyo,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00063932.jpg,,,,,,,,,, +刺苋,Amaranthus spinosus,郭成勇,0001-2,19980801,山东,60,路旁田间,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0058836.jpg,,,,,,,,,, +刺苋,Amaranthus spinosus,杨人俊,夕.404,19571015,江苏省南京市,,,,有花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF003431.jpg,,,,,,,,,, +苋,Amaranthus tricolor,付坤俊,5497,1952/8/21,陕西省  ,600,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0060221.jpg,,,,,,,,,, +,Amaranthus tricolor,"张寿洲,李良千等",3354,20050715,广东省,100~50,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01400342.jpg,,,,,,,,,, +苋,Amaranthus tricolor,,LYP06-5633,20151002,江西吉安,,林下路旁,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU68581.jpg,,,,,,,,,, +皱果苋,Amaranthus viridis,王义杰,饲097,19830928,天津市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00640423.jpg,,,,,,,,,, +,Amaranthus viridis,方建新,TangXS0138,20090922,安徽,134,荒地,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1245887.jpg,,,,,,,,,, +皱果苋,Amaranthus viridis,付坤俊,11845,1957/10/20,陕西省 ,330,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0096037.jpg,,,,,,,,,, +,Amblyanthopsis membranacea,,,,,,,,,,,,,,,,,,, +,Amblyanthus chenii,,,,,,,,,,,,,,,,,,, +,Amblyanthus glandulosus,,,,,,,,,,,,,,,,,,, +,Amblyanthus obovatus,,,,,,,,,,,,,,,,,,, +豚草,Ambrosia artemisiifolia,刘林翰,30995,20130923,湖南,,山谷、路旁,,有花有果,https://image.cvh.ac.cn/files/l/HNNU/HNNU00061289.jpg,,,,,,,,,, +豚草,Ambrosia artemisiifolia,何俊,张守君,袁军,SWS120,20170925,重庆,173,,草本,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0185958.jpg,,,,,,,,,, +,Ambrosia artemisiifolia,崔鸿宾,389,19640730,山东省,,路边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00998027.jpg,,,,,,,,,, +水棘针,Amethystea caerulea,延边二组,459,195900906,吉林,,耕地,,有花有果,https://image.cvh.ac.cn/files/l/JLSLKY/JLSLKY01682.jpg,,,,,,,,,, +水棘针,Amethystea caerulea,张少贞,刘联,79-0001,19790920,甘肃,,河沟沙滩,,无花有果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092742.jpg,,,,,,,,,, +水棘针,Amethystea caerulea,王作宾,19603,1964/8/11,青海省,2900,,"一年生,分枝草本",有花无果,https://image.cvh.ac.cn/files/l/WUK/0421480.jpg,,,,,,,,,, +黄腺香青,Anaphalis aureopunctata,刘仁林、符潮、戴立燕、程淑媛、唐忠炳,D04,20150802,江西,1980,,,有花无果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0009557.jpg,,,,,,,,,, +黄脉秀青,Anaphalis aureopunctata,黄汉东,万丹,167,20160720,湖北,1900,,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0174052.jpg,,,,,,,,,, +黄腺香青,Anaphalis aureopunctata,林来官,5884,,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/FJSI/FJSI027380.jpg,,,,,,,,,, +黑鳞黄腺香青,Anaphalis aureopunctata var. atrata,傅德志 赵志龙等,87-2029,19870825,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/005166.jpg,,,,,,,,,, +,Anaphalis aureopunctata var. atrata,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-125-B37,20190817,四川,3854,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262224.jpg,,,,,,,,,, +,Anaphalis aureopunctata var. atrata,"Forrest, George",24621,24-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00570006.jpg,,,,,,,,,, +黄腺香青绒毛变种,Anaphalis aureopunctata var. tomentosa,贺士元,,19980909,云南省,,,,,https://image.cvh.ac.cn/files/l/BNU/0013675.jpg,,,,,,,,,, +茸毛黄腺香青,Anaphalis aureopunctata var. tomentosa,,,0,,,,草本,,https://image.cvh.ac.cn/files/l/HITBC/0018309.jpg,,,,,,,,,, +茸毛香青,Anaphalis aureopunctata var. tomentosa,谭策铭,陈字树,971700,19971119,湖北省,105,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/JJF/00020875.jpg,,,,,,,,,, +同色二色香青,Anaphalis bicolor var. subconcolor,药调队,1371,19830705,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01576832.jpg,,,,,,,,,, +同色二色香青,Anaphalis bicolor var. subconcolor,K.T.Fu,1463,1937/7/31,甘肃,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0023156.jpg,,,,,,,,,, +同色二色香青,Anaphalis bicolor var. subconcolor,W.Y. Hsia,8733,1940/9/22,甘肃省,2600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0067998.jpg,,,,,,,,,, +波缘二色香青,Anaphalis bicolor var. undulata,北京所横断山队,2882,19810811,云南省,4000~4100,高山 流石滩上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190516.jpg,,,,,,,,,, +波缘二色香青,Anaphalis bicolor var. undulata,谢登峰、蔡竞、秦换换,SC-00-001-A-047,20200905,四川,3282.19m,高山草坡,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02064391.jpg,,,,,,,,,, +波缘二色香青,Anaphalis bicolor var. undulata,青藏队,10994,19821005,西藏自治区,3700,山坡 高山栎林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190518.jpg,,,,,,,,,, +蛛毛香青,Anaphalis busua,江明喜,黄汉东,万丹,周阳,陈树宏,田弟荣,860,20161014,湖北,1750,沟谷,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0184189.jpg,,,,,,,,,, +茴茴蒜,Anaphalis busua,李春燕,BJTC008954,20190702,北京市,973,山坡路边,草本,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008954.jpg,,,,,,,,,, +蛛毛香青,Anaphalis busua,白洪兵、海仙,5333241812061314LY,20181206,云南,1679,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009717.jpg,,,,,,,,,, +,Anaphalis cavei,,,,,,,,,,,,,,,,,,, +薄叶旋叶香青,Anaphalis contorta,王焕冲,马兴达,WangHCH050,20161004,云南,2542,半湿润常绿阔叶林林缘坡地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1437184.jpg,,,,,,,,,, +旋叶香青,Anaphalis contorta,胡君,王东超,李丽,唐露,SC-a-091-B13,20180814,西藏自治区,,3363,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610238.jpg,,,,,,,,,, +薄叶旋叶香青,Anaphalis contorta,独龙江考察队,3240,19910117,云南省,1400,常绿林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0038571.jpg,,,,,,,,,, +银衣香青,Anaphalis contortiformis,联大,20245,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0038582.jpg,,,,,,,,,, +银衣香青,Anaphalis contortiformis,张桥蓉,蒋婷,余华,ZhangYH164,20191214,云南,2496,灌丛中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1489114.jpg,,,,,,,,,, +银衣香青,Anaphalis contortiformis,C.W. Wang,71877,1936/02/00,云南省,2800,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0042086.jpg,,,,,,,,,, +江孜香青,Anaphalis deserti,青藏队植被组,13068,19760722,西藏自治区,4850,山地 岩石 露头 缝隙中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01484998.jpg,,,,,,,,,, +淡黄香青,Anaphalis flavescens,黄土高原采集队,3539,1984/8/11,山西,2800,,草本、直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0465711.jpg,,,,,,,,,, +,Anaphalis flavescens,魏志平,1511,1958/7/21,陕西省,2900,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0403833.jpg,,,,,,,,,, +淡黄香青,Anaphalis flavescens,赵子恩 刘世明,2434,19891116,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0000291.jpg,,,,,,,,,, +铃铃香青,Anaphalis hancockii,黄土队(晋),4389,1984/10/3,内蒙,2200,,草本、直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0454547.jpg,,,,,,,,,, +铃铃香青,Anaphalis hancockii,刘晓等,QS-191,20090714,北京,1900,山坡草地,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00064402.jpg,,,,,,,,,, +铃铃香青,Anaphalis hancockii,宁宇,MA-M-0105,20150813,甘肃,3430,不积水草本,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0008026.jpg,,,,,,,,,, +多茎香青,Anaphalis hondae,,6381,,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01576988.jpg,,,,,,,,,, +多茎香青,Anaphalis hondae,程子俊,1993,19560803,甘肃省,3630,阴坡凹地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01576947.jpg,,,,,,,,,, +多茎香青,Anaphalis hondae,胡君,王东超,李丽,唐露,SC-a-087-B10,20180813,西藏自治区,3013,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610222.jpg,,,,,,,,,, +珠光青青黄褐变种,Anaphalis margaritacea,赵万义、刘忠成、张忠、谭维政、张记军、叶矾、冯欣欣,LXP-13-09783,20151104,江西,,山顶、腐殖土、草地,陆生、草本、直立,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00200944.jpg,,,,,,,,,, +,Anaphalis margaritacea,A. McCutcheon,,19890821,British Columbia,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00608444.jpg,,,,,,,,,, +珠光香青,Anaphalis margaritacea,吕惠珍、农东新、岑海锋,451031141027021LY,20141027,广西,,阔叶林,林下,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0190785.jpg,,,,,,,,,, +线叶珠光香青,Anaphalis margaritacea var. angustifolia,黄汉东,史红文,4758,20030904,湖北,1200,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0208956.jpg,,,,,,,,,, +,Anaphalis margaritacea var. angustifolia,陈恒彬,s.n.,19880910,湖北省,1700,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/FJSI027384.jpg,,,,,,,,,, +线叶珠光香青,Anaphalis margaritacea var. angustifolia,鞠文彬,李蒙,AZH00236,20150712,四川,1640,溪边林下,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0235866.jpg,,,,,,,,,, +黄褐珠光香青,Anaphalis margaritacea var. cinnamomea,粤-73,579,19730605,广东省,800,,,有花无果,https://image.cvh.ac.cn/files/l/HGAS /028420.jpg,,,,,,,,,, +黄褐珠光香青,Anaphalis margaritacea var. cinnamomea,全州县普查队,450324121023002LY,20121023,广西壮族自治区,1761,草丛,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0150460.jpg,,,,,,,,,, +黄褐珠光香青,Anaphalis margaritacea var. cinnamomea,汪发缵,18,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0039012.jpg,,,,,,,,,, +尼泊尔香青,Anaphalis nepalensis,白洪兵、和仕波,533324180819371LY,20180819,云南,3288.6,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009652.jpg,,,,,,,,,, +尼泊尔香青,Anaphalis nepalensis,Hsiao-Ying Shen,94,19940721,台湾省,3333~3387,On exposed gravelly trail.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00021443.jpg,,,,,,,,,, +尼泊尔香青,Anaphalis nepalensis,王启无,65537,193508,西藏自治区,3600,Clay slope on top of mt.,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0039294.jpg,,,,,,,,,, +伞房尼泊尔香青,Anaphalis nepalensis var. corymbosa,蔡希陶,63136,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00270464.jpg,,,,,,,,,, +伞房变种,Anaphalis nepalensis var. corymbosa,,674,19590729,江苏省,4100,河滩杂草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502231.jpg,,,,,,,,,, +尼泊尔香青伞房变种,Anaphalis nepalensis var. corymbosa,孙祥麟,1134,19390826,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00033202.jpg,,,,,,,,,, +单头尼泊尔香青,Anaphalis nepalensis var. monocephala,罗建、王国严、汪书丽,LiuJQ-08XZ-030,20080719,西藏自治区,4516,高山草甸,直立草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00002814.jpg,,,,,,,,,, +单头尼泊尔香青,Anaphalis nepalensis var. monocephala,赵俊申,376,19570810,四川,3950,高山岩石,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830418.jpg,,,,,,,,,, +单头尼泊尔香青,Anaphalis nepalensis var. monocephala,郭友好、胡志新,421,19770808,陕西省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0516575.jpg,,,,,,,,,, +污毛香青,Anaphalis pannosa,姚仲吾,4241,19390716,四川省,,石岩上,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00480030.jpg,,,,,,,,,, +污毛香青,Anaphalis pannosa,中甸队,1761,19620831,云南,4000,杜鹃灌丛火烧地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830507.jpg,,,,,,,,,, +污毛香青,Anaphalis pannosa,俞绍文,143,19641109,云南省,2900,公路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0039526.jpg,,,,,,,,,, +须弥香青,Anaphalis royleana,胡君,王东超,李丽,唐露,SC-a-085-B15,20180813,西藏自治区,2973,高山栎群落中,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610225.jpg,,,,,,,,,, +薯蓣,Anaphalis royleana,宋晰聪,BJTC008852,20190701,北京市,943,山坡林地,藤本,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008852.jpg,,,,,,,,,, +,Anaphalis triplinervis,Y.Iokawa etc.,20320091,20030630,,3520,on semi-shaded wet slope under rock shade,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261329.jpg,,,,,,,,,, +三脉香青,Anaphalis triplinervis,T.T.Yu,3742,19320903,贵州省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/280157197.jpg,,,,,,,,,, +三脉香青,Anaphalis triplinervis,杨宗汉,86204,19860813,云南省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0516705.jpg,,,,,,,,,, +木根香青,Anaphalis xylorhiza,方震东,刘琳,李红,和光,史效武,赵卫东,程杰,K-2420,20021014,云南省,4077,多色杜鹃-金不换群落,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007391.jpg,,,,,,,,,, +木根香青,Anaphalis xylorhiza,谢登峰、蔡竞、秦换换,SC-00-006-A-028,20200829,四川,2589.21m,高山灌丛,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02060791.jpg,,,,,,,,,, +木根香青,Anaphalis xylorhiza,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20660,20200625,西藏,3898,高山灌丛草地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1554402.jpg,,,,,,,,,, +,Anaphalis yangii,,,,,,,,,,,,,,,,,,, +狼紫草,Anchusa ovata,张磊,张朝攀,zlnmu2022153,20220717,宁夏,1789,农田,草本,有花有果,https://image.cvh.ac.cn/files/l/NMU/NMU00910.jpg,,,,,,,,,, +狼紫草,Anchusa ovata,宁夏中草药组,2--0150,1972/6/6,宁夏回族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0293250.jpg,,,,,,,,,, +狼紫草,Anchusa ovata,刘全儒,2006060,20060619,甘肃省,1000,路边,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0042102.jpg,,,,,,,,,, +腺毛须药草,Andrographis laxiflora,Y.Tsiang,7322,19301007,贵州省,200,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00244298.jpg,,,,,,,,,, +疏花穿心莲,Andrographis laxiflora,李东艳,03--1--02--21,20050721,贵州,,岩缝中,直立茎,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0076345.jpg,,,,,,,,,, +疏花穿心莲,Andrographis laxiflora,亚吉东;韩周东,18CS16778,20180523,云南,1581,,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1551474.jpg,,,,,,,,,, +睫毛点地梅,Androsace ciliifolia,青藏队,3648,1975.6.2,西藏,5000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014462.jpg,,,,,,,,,, +睫毛点地梅,Androsace ciliifolia,,5437,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647360.jpg,,,,,,,,,, +睫毛点地梅,Androsace ciliifolia,"李渤生,程树志",6127,19830804,西藏自治区,4700,高山灌生草甸山顶多见,,无花有果,https://image.cvh.ac.cn/files/l/PE/02081188.jpg,,,,,,,,,, +,Androsace croftii,,,,,,,,,,,,,,,,,,, +滇西北点地梅,Androsace delavayi,C.W.Wang,69600,19350901,浙江省,3400,Mountain slope,Bushes,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0048286.jpg,,,,,,,,,, +滇西北点地梅,Androsace delavayi,T.T.Tu,12162,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00093864.jpg,,,,,,,,,, +滇西北点地梅,Androsace delavayi,四川省植被调查队,2933,19730708,四川省,4700,流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/01907910.jpg,,,,,,,,,, +直立点地梅,Androsace erecta,钟扬,ZhongY1055,20110920,西藏,,高山草地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1377922.jpg,,,,,,,,,, +,Androsace erecta,T.P.Wang,8048,19371115,陕西省,560,Along the city wall out side the city,,有花无果,https://image.cvh.ac.cn/files/l/PE/01544525.jpg,,,,,,,,,, +,Androsace erecta,中国科学院青甘调查队,1973,19590921,青海省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909355.jpg,,,,,,,,,, +,Androsace geraniifolia,PE西藏考察队,7180,20180611,西藏自治区,2758,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333014.jpg,,,,,,,,,, +掌叶点地梅,Androsace geraniifolia,S.Akiyama etc.,20100245,20010523,,2580,on shady mossy moist slope under deciduous forest dominated by Alnus nepalensis,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220041.jpg,,,,,,,,,, +掌叶点地梅,Androsace geraniifolia,赵清盛、胡刚,4461,1978-5 1,四川省,2250,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0110492.jpg,,,,,,,,,, +球形点地梅,Androsace globifera,"李渤生,郑度",11002,19870814,西藏自治区,4900,carex 草原中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345097.jpg,,,,,,,,,, +球形点地梅,Androsace globifera,"李渤生,郑度,张百平",10727,19870720,新疆维吾尔自治区,3100,山地 荒漠 草原 阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01345092.jpg,,,,,,,,,, +球形点地梅,Androsace globifera,武素功,黄荣福等,K-696,19900627,青海省,4850,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/140693.jpg,,,,,,,,,, +小点地梅,Androsace gmelinii,于景华,于景华477,20150730,辽宁,596.9 米,羊胡子薹草,白羊草,花木兰-荆条、丘陵、温性草原类,,有花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0258657.jpg,,,,,,,,,, +小点地梅,Androsace gmelinii,闫瑞亚,YRY029,20130700,河北省,,路边,草本,,https://image.cvh.ac.cn/files/l/BNU/0023110.jpg,,,,,,,,,, +短葶小点地梅,Androsace gmelinii,白龙江考察队,1763,19990603,甘肃省,2950,山谷 草垫,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560386.jpg,,,,,,,,,, +莲叶点地梅,Androsace henryi,三峡考察队,428,20070916,重庆市,1500~2040,干涸的沟谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01868336.jpg,,,,,,,,,, +莲叶点地梅,Androsace henryi,黄汉东,万丹,370,20160726,湖北,2210,,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0173886.jpg,,,,,,,,,, +莲叶点地梅,Androsace henryi,青藏队,10034,19820907,西藏自治区,3000,山坡Picea林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01493881.jpg,,,,,,,,,, +亚东点地梅,Androsace hookeriana,"H.Ohashi,H.Kanai,H.Ohba & Y.Tateishi",772230,19770810,,3200~3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00087779.jpg,,,,,,,,,, +亚东点地梅,Androsace hookeriana,"Y.S.Chen,Z.Y.Chang et al.",13-1899,20130823,西藏自治区,4000,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000737.jpg,,,,,,,,,, +亚东点地梅,Androsace hookeriana,钟补求,5878,1953.7.2,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014598.jpg,,,,,,,,,, +,Androsace laggeri,,,,,,,,,,,,,,,,,,, +钻叶点地梅,Androsace lehmannii,H.Ohba etc.,8570628,19850721,Topke Gola,0,on rocky ground,,有花无果,https://image.cvh.ac.cn/files/l/KUN/88867.jpg,,,,,,,,,, +钻叶点地梅,Androsace lehmannii,王新光,503,19590625,西藏自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/130237033.jpg,,,,,,,,,, +钻叶点地梅,Androsace lehmannii,H.Kanai etc.,720376,19720613,,3900,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/88868.jpg,,,,,,,,,, +西藏点地梅,Androsace mariae,D.E.Boufford et al.,41799,20090803,西藏自治区,3850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026022.jpg,,,,,,,,,, +西藏点地梅,Androsace mariae,"郎楷永,李良千,费勇",1838,19830619,四川省,2450,山坡油松林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909055.jpg,,,,,,,,,, +点地梅属,Androsace mariae,李帅等,20167605,20160804,新疆自治区,4600,草甸,草本,,https://image.cvh.ac.cn/files/l/BNU/0030941.jpg,,,,,,,,,, +绢毛点地梅,Androsace nortonii,"倪志诚,次多.次旦,廖世荣",2051,19810907,西藏自治区,4100,高山草甸中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909258.jpg,,,,,,,,,, +雪球点地梅,Androsace robusta,青藏队 吴玉虎,1212,19870826,新疆维吾尔自治区,5160,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/146260.jpg,,,,,,,,,, +雪球点地梅,Androsace robusta,,297,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485552.jpg,,,,,,,,,, +雪球点地梅,Androsace robusta,青藏队,4249,1975.6.2,西藏省,3800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014750.jpg,,,,,,,,,, +,Androsace rotundifolia,青藏队,8120,19760630,西藏自治区,3700,山坡岩石下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088037.jpg,,,,,,,,,, +叶苞点地梅,Androsace rotundifolia,J.F.Duthie.,15397,空,-,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0014751.jpg,,,,,,,,,, +,Androsace rotundifolia,J.F.Duthie,14579,18940603,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU046344.jpg,,,,,,,,,, +,Androsace rotundifolia var. glandulosa,"Hooker, J.D. & Thomson, T.",7,,,,,,,https://image.cvh.ac.cn/files/l/E/E00024907.jpg,,,,,,,,,, +,Androsace rotundifolia var. glandulosa,青藏队,76-8120,19760630,西藏自治区,3700,山坡岩石下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/89545.jpg,,,,,,,,,, +匐茎点地梅,Androsace sarmentosa,魏来、郝加琛,15412,20150728,西藏,3977,路边山坡,,,https://image.cvh.ac.cn/files/l/BNU/0026051.jpg,,,,,,,,,, +匍茎点地梅,Androsace sarmentosa,H.Hara etc.,69612,19690604,Kochi,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/89142.jpg,,,,,,,,,, +匍茎点地梅,Androsace sarmentosa,,6548,19750815,,3200,alpine meadows,,有花无果,https://image.cvh.ac.cn/files/l/PE/00088053.jpg,,,,,,,,,, +紫花点地梅,Androsace selago,青藏队补点组,750415,19750630,西藏自治区,3600~3800,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00088081.jpg,,,,,,,,,, +紫花点地梅,Androsace selago,张林、李星月、张晓严,1月13日,20180608,西藏,3949,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023852.jpg,,,,,,,,,, +紫花点地梅,Androsace selago,青藏队,74-2666,1974-09-,西藏省,4300,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0077275.jpg,,,,,,,,,, +糙伏毛点地梅,Androsace strigillosa,PE西藏队,PE5105,20170825,西藏自治区,3788,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330718.jpg,,,,,,,,,, +糙伏毛点地梅,Androsace strigillosa,山诺会,,19990802,四川,,,,,https://image.cvh.ac.cn/files/l/BJFC/00015659.jpg,,,,,,,,,, +糙伏毛点地梅,Androsace strigillosa,青藏队植被组,35,19740618,四川省,,山地 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485561.jpg,,,,,,,,,, +唐古拉点地梅,Androsace tanggulashanensis,洮河队,3356,19570619,甘肃省,3200,山顶,阳处,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0091536.jpg,,,,,,,,,, +唐古拉点地梅,Androsace tanggulashanensis,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20694,20200626,西藏,4713,流石滩,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1509636.jpg,,,,,,,,,, +,Androsace tanggulashanensis,青藏队植被组,11782,19760622,西藏自治区,4800,水边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061555.jpg,,,,,,,,,, +垫状点地梅,Androsace tapete,郑度,12614,19880819,新疆维吾尔自治区,4400,河滩地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01468491.jpg,,,,,,,,,, +垫状点地梅,Androsace tapete,王庆瑞,6309,19770729,甘肃,3900,沼泽草地,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092350.jpg,,,,,,,,,, +垫状点地梅,Androsace tapete,杨竞生,6728,19740520,云南省,4100,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/89332.jpg,,,,,,,,,, +点地梅,Androsace umbellata,"杨金祥,梁一民",2658,19600512,陕西省,1100~660,山谷路旁草地及山顶荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909332.jpg,,,,,,,,,, +点地梅,Androsace umbellata,陈善墉,179,1956,浙江,,,,无花有果,https://image.cvh.ac.cn/files/l/SM/SM715700334.jpg,,,,,,,,,, +点地梅,Androsace umbellata,张爱娟,3,19650525,吉林,,草地,草本,花白色,有花无果,https://image.cvh.ac.cn/files/l/JLSLKY/JLSLKY03472.jpg,,,,,,,,,, +高原点地梅,Androsace zambalensis,郭柯,K-150,19900727,青海省,4940,山沟块状高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01469077.jpg,,,,,,,,,, +高原点地梅,Androsace zambalensis,高庆波、贾留坤,Gao2017145,20170804,青海,4312,荒漠草原,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026057.jpg,,,,,,,,,, +高原点地梅,Androsace zambalensis,高云东,黎怀成,郑臣臣,THP-KD-2301,20170714,四川,4300~4500,,垫状草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243025.jpg,,,,,,,,,, +阿坝当归,Angelica apaensis,彭玉兰、张君议、杨焰,THP-KD-4308,20170714,四川,3876-4113,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0249812.jpg,,,,,,,,,, +阿坝当归,Angelica apaensis,倪志诚,汪永泽,次多,次旦,1117,19800815,西藏自治区,4200,山坡乱石堆中,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0005065.jpg,,,,,,,,,, +阿坝当归,Angelica apaensis,朱鑫鑫、陈彬、沈彬、宋以刚,CSH07449,20140808,四川省,3684.42,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0017857.jpg,,,,,,,,,, +,Angelica balangshanensis,F. T. Pu,K. Yao,287,19840907,四川省,3400,山坡灌木林下,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00005248.jpg,,,,,,,,,, +,Angelica kangdingensis,F. T. Pu,K. Yao,450,19840922,四川省,3000,高山栎灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00005590.jpg,,,,,,,,,, +疏叶当归,Angelica laxifoliata,蔡希陶,57439,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00029664.jpg,,,,,,,,,, +疏叶当归,Angelica laxifoliata,李思锋、黎斌、张莹、周亚福,15790,20110712,陕西省,1291,山谷路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH015934.jpg,,,,,,,,,, +疏叶当归,Angelica laxifoliata,陈彦生、吴振海、黎斌、孙建钊,4658,2006/7/31,重庆市,1900,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0502073.jpg,,,,,,,,,, +丽江当归,Angelica likiangensis,陈善墉 何铸 钟明芳,5970,,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM715000221.jpg,,,,,,,,,, +丽江当归,Angelica likiangensis,"周太炎,徐国钧",470,19381002,四川省,,岩面,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616509.jpg,,,,,,,,,, +丽江当归,Angelica likiangensis,和炳光,55,19860830,云南省 ,3550,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00039570.jpg,,,,,,,,,, +,Angelica longipedicellata,"Forrest, George",10949,13-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00265237.jpg,,,,,,,,,, +茂汶当归,Angelica maowenensis,,611,,四川,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715000277.jpg,,,,,,,,,, +茂汶当归,Angelica maowenensis,温鸣章、肖顺昌,香14,1983-5 1,四川省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093307.jpg,,,,,,,,,, +,Angelica nitida,藏药队,843,19710901,四川省,3750,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/24881.jpg,,,,,,,,,, +青海当归,Angelica nitida,陈晓澄等,2250,20120807,青海,3690,东向坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00021242.jpg,,,,,,,,,, +青海当归,Angelica nitida,K.T.Fu,1496,1937/8/19,甘肃,3500,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0034196.jpg,,,,,,,,,, +峨眉当归,Angelica omeiensis,,2829,,四川,,路边,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715000472.jpg,,,,,,,,,, +峨眉当归,Angelica omeiensis,陶玉辉,24,19570926,四川省,220,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00029686.jpg,,,,,,,,,, +峨眉当归,Angelica omeiensis,杨文光,DT7107,20190723,云南,2179,,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1514313.jpg,,,,,,,,,, +隆萼当归,Angelica oncosepala,俞德浚,22794,19381011,云南省,3600,草坡,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0460442.jpg,,,,,,,,,, +,Angelica oncosepala,"Handel-Mazzetti, Heinrich",9713,6-Aug-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00002375.jpg,,,,,,,,,, +隆萼当归,Angelica oncosepala,王启无,68569,1935/8/8,云南,3600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0044733.jpg,,,,,,,,,, +,Angelica paeoniifolia,"罗建,汪书丽,王国严",LiuJQ-09XZ-362,20091011,西藏自治区,3165,林缘灌丛,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1335725.jpg,,,,,,,,,, +羽苞当归,Angelica pinnatiloba,溥发鼎等,197,Oct-83,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172262.jpg,,,,,,,,,, +管鞘当归,Angelica pseudoselinum,陈彦生、吴振海、黎斌、郭晓思等,1390,2004/7/11,重庆市,1408,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0490458.jpg,,,,,,,,,, +管鞘当归,Angelica pseudoselinum,陈彦生、吴振海、黎斌、郭晓思等,893,2004/7/6,陕西省,2000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0490495.jpg,,,,,,,,,, +,Angelica pseudoselinum,"Farges, P.G.",,1895,,,,,,https://image.cvh.ac.cn/files/l/P/P03237885.jpg,,,,,,,,,, +,Angelica sinensis var. sinensis,,,,,,,,,,,,,,,,,,, +,Angelica sinensis var. wilsonii,,,,,,,,,,,,,,,,,,, +松潘当归,Angelica songpanensis,溥发鼎等,159,Oct-83,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172266.jpg,,,,,,,,,, +松潘当归,Angelica songpanensis,张珂阡,391,19890800,湖北省,1300,林下沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00578835.jpg,,,,,,,,,, +三小叶当归,Angelica ternata,新疆采集队,1884,78.08.04,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00022964.jpg,,,,,,,,,, +,Angelica ternata,新疆采集队,1793,19780730,新疆维吾尔自治区,3000,山沟水边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616520.jpg,,,,,,,,,, +铃铛子,Anisodus luridus,W.Y.Hsia,8326,19300000,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00031298.jpg,,,,,,,,,, +喜马拉雅东茛宕,Anisodus luridus,夏光成,米泰康,523,19600718,西藏,3000,路旁篱笆旁,,有果无花,https://image.cvh.ac.cn/files/l/BJM/0147411.jpg,,,,,,,,,, +铃铛子,Anisodus luridus,刘正宇,1195,19800705,重庆,750,菜园地野生,草,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00614447.jpg,,,,,,,,,, +,Anisodus tanguticus,李馨,74589,19570911,四川省,3250,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00253148.jpg,,,,,,,,,, +山莨菪,Anisodus tanguticus,李晓东,刘帆,张景博,徐凌翔,LiJ0123,20080907,甘肃,3595,高山草甸;湖边山地,粗壮草本,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0190668.jpg,,,,,,,,,, +山莨菪,Anisodus tanguticus,毛康珊、任广朋、邹嘉宾,LiuJQ-QTP-09,20110919,西藏自治区,0~3591,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0284216.jpg,,,,,,,,,, +广防风,Anisomeles indica,谭策铭,易桂花,李秀枝,干定枝,张丽萍,91394,20091223,海南省,28,山脚林缘,直立草本,无花有果,https://image.cvh.ac.cn/files/l/JJF/JJF00033793.jpg,,,,,,,,,, +广防风,Anisomeles indica,刘心祈,27914,19361005,海南省 ,,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00220265.jpg,,,,,,,,,, +广防风,Anisomeles indica,Noriaki Fukayama,1216,19360700,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00220291.jpg,,,,,,,,,, +刺果峨参,Anthriscus sylvestris subsp. nemorosa,亚吉东,张桥蓉,胡枭剑,17CS16325,20170630,新疆,2196,山坡草丛中,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1438033.jpg,,,,,,,,,, +刺果峨参,Anthriscus sylvestris subsp. nemorosa,马真 徐文斌,256,20070724,新疆维吾尔自治区,2093,湖边草甸,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00578842.jpg,,,,,,,,,, +,Anthriscus sylvestris subsp. nemorosa,,61054,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616660.jpg,,,,,,,,,, +山楝,Aphanamixis polystachya,罗懿哲,599,20181009,河南,243,山地,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1900599.jpg,,,,,,,,,, +山楝,Aphanamixis polystachya,郭惠珠,1794,20090525,福建,201.3~43,栽植,乔木,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0005841.jpg,,,,,,,,,, +山楝(大叶山楝),Aphanamixis polystachya,谷忠村,1022030,19861022,云南,,山地沟谷林,乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU21352.jpg,,,,,,,,,, +,Aphragmus bouffordii,"D. E. Boufford, S. L. Kelley, R. H. Ree & S. K. Wu",29463,2000/7/16,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00135045.jpg,,,,,,,,,, +,Aphragmus hobsonii,钟补求,5983,19530727,西藏自治区,,冷杉林中,水湿潭边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01124625.jpg,,,,,,,,,, +,Aphragmus minutus,,,,,,,,,,,,,,,,,,, +尖果寒原荠,Aphragmus oxycarpus,青藏队植被组,12069,19760726,,4800,石灰岩山坡石隙中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00051051.jpg,,,,,,,,,, +尖果寒原荠,Aphragmus oxycarpus,西植新疆队,1120,19780707,新疆维吾尔自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00775906.jpg,,,,,,,,,, +尖果寒原荠,Aphragmus oxycarpus,青藏队,1529,19810822,四川省,4200,高山湖泊岸边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998013.jpg,,,,,,,,,, +,Aquilaria khasiana,,,,,,,,,,,,,,,,,,, +,Aquilaria malaccensis,H.F.Sun,110,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01678703.jpg,,,,,,,,,, +沉香,Aquilaria malaccensis,殷建涛,2070,20120424,云南,580,,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029942.jpg,,,,,,,,,, +鼠耳芥,Arabidopsis thaliana,郭振宇,29,20060413,江苏省,110,湖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458493.jpg,,,,,,,,,, +鼠耳芥,Arabidopsis thaliana,D.E.Boufford,42946,20130502,,20,disturbed open area next to new asphalt pedestrian walkway and newly installed lawn gravelly soil in open area,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044367.jpg,,,,,,,,,, +鼠耳芥,Arabidopsis thaliana,张代贵,DH0420001,20100420,湖南湘西州,,生于平地、山坡、河边、路边,一年生细弱草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU23076.jpg,,,,,,,,,, +抱茎南芥,Arabis amplexicaulis,"应俊生,洪德元",650249,19650616,西藏自治区,3100,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00915553.jpg,,,,,,,,,, +,Arabis amplexicaulis,T.M.,,19010600,,,,,有花有果,https://image.cvh.ac.cn/files/l/BJFC/00036336.jpg,,,,,,,,,, +,Arabis amplexicaulis,津岛制作所标本部,684,19070520,武州,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0004186.jpg,,,,,,,,,, +硬毛南芥,Arabis hirsuta,刘瑛,456,19570527,湖北省,,山地,阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00915620.jpg,,,,,,,,,, +硬毛南芥,Arabis hirsuta,,延319,19710714,北京市,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01197819.jpg,,,,,,,,,, +硬毛南芥,Arabis hirsuta,,17306,,新疆省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0135054.jpg,,,,,,,,,, +圆锥南芥,Arabis paniculata,鄂植考队,24952,19720820,湖北省,3000,山脊黄竹林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998001.jpg,,,,,,,,,, +圆锥南芥,Arabis paniculata,毕节队,186,19590712,贵州省,2500,山顶,,无花无果,https://image.cvh.ac.cn/files/l/PE/00915728.jpg,,,,,,,,,, +圆锥南芥,Arabis paniculata,陈彦生 吴振海 黎斌 孙建钊,2952,20050622,陕西,2140,山坡林下,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0493329.jpg,,,,,,,,,, +,Arabis pterosperma,徐波,陈光富,陈林杨,董金龙等,SunH-07ZX-0291,20080720,西藏,3599,干暖河谷,山坡灌丛,一二年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300734.jpg,,,,,,,,,, +,Arabis pterosperma,"Forrest, George",13977,17-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00083384.jpg,,,,,,,,,, +南芥,Arabis pterosperma,李家美,13,20150517,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0009892.jpg,,,,,,,,,, +,Arabis pycnocarpa,,,,,,,,,,,,,,,,,,, +芹叶龙眼独活,Aralia apioides,青藏队,10555,19820918,西藏自治区,3500,山坡云杉林下,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0445241.jpg,,,,,,,,,, +芹叶龙眼独活,Aralia apioides,张挺,郭永杰,吴之坤,姜虹,李贵能,16CS12673,20160822,四川,3615,公路边山坡,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437357.jpg,,,,,,,,,, +芹叶龙眼独活,Aralia apioides,永胜县普查队,5307220391,20120818,云南省,2675,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0014146.jpg,,,,,,,,,, +,Aralia caesia var. pubescens,,,,,,,,,,,,,,,,,,, +西藏土当归,Aralia tibetana,汤庚国,,19890731,西藏,3100,林缘,草本,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2014352.jpg,,,,,,,,,, +,Aralia tibetana,"张廷,蔡杰,袁明,刘恩德,刘成,郭永杰",09CS1519,20090922,西藏自治区,3137,河谷林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1335156.jpg,,,,,,,,,, +西藏土当归,Aralia tibetana,"黄治平,罗正远,蒋卓然",1854,19300808,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00940096.jpg,,,,,,,,,, +油杉寄生,Arceuthobium chinense,任,781190,19780000,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00041297.jpg,,,,,,,,,, +油杉寄生,Arceuthobium chinense,尹文清,141,19570314,云南省,2170,山谷 路旁 乾燥,,无花有果,https://image.cvh.ac.cn/files/l/PE/00890938.jpg,,,,,,,,,, +油杉寄生,Arceuthobium chinense,"姜恕,金存礼等",1470,19590701,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00890934.jpg,,,,,,,,,, +圆柏寄生,Arceuthobium oxycedri,"T.N.Ho,B.bartholomew,M.Watson and M.Gilbert",2957,19960907,青海省,4100,"Gentle slopes with degraded alpine meadow,steeper slopes with groves of Juniperus",寄生,无花无果,https://image.cvh.ac.cn/files/l/KUN/0564635.jpg,,,,,,,,,, +圆柏寄生,Arceuthobium oxycedri,,41,19730612,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00890947.jpg,,,,,,,,,, +圆柏寄生,Arceuthobium oxycedri,"Kit Tan,Strid & Raus",18930,19970918,,800,opening in mixed woodland gravelly schist,,有花有果,https://image.cvh.ac.cn/files/l/PE/02042666.jpg,,,,,,,,,, +,Arceuthobium sichuanense,,,,,,,,,,,,,,,,,,, +短茎古当归,Archangelica brevicaulis,,673,71.08.28,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00023078.jpg,,,,,,,,,, +短茎古当归,Archangelica brevicaulis,M.G.Pimenov et al.,313,19870713,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01499587.jpg,,,,,,,,,, +短茎古当归,Archangelica brevicaulis,史建玲,3,19870626,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI026280.jpg,,,,,,,,,, +牛蒡,Arctium lappa,秦自生,2634,19590507,四川省,1070,中山山顶,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00033210.jpg,,,,,,,,,, +牛蒡,Arctium lappa,F.H.Chen,606,19310909,吉林省,400,road side,,无花有果,https://image.cvh.ac.cn/files/l/CQNM/0012448.jpg,,,,,,,,,, +牛蒡,Arctium lappa,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20965,20200717,西藏,3635,湿地边,二年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1504744.jpg,,,,,,,,,, +条叶弓翅芹,Arcuatopterus linearifolius,潘泽惠等,84-35B,19840909,云南省,2700,路边草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00071999.jpg,,,,,,,,,, +条叶弓翅芹,Arcuatopterus linearifolius,李永江等,1006,Oct-86,四川省,2600,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093341.jpg,,,,,,,,,, +唐松叶弓翅芹,Arcuatopterus thalictrioideus,溥发鼎等,984,Oct-86,四川省,2250,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093344.jpg,,,,,,,,,, +唐松叶弓翅芹,Arcuatopterus thalictrioideus,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13990,20161019,四川,2323,石质山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452745.jpg,,,,,,,,,, +唐松叶弓翅芹,Arcuatopterus thalictrioideus,M.G.Pimenov et al.,498,19980930,云南省,1840,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00616957.jpg,,,,,,,,,, +,Ardisia colorata,J.F.Maxwell ,76-685,19761011,,800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00064115.jpg,,,,,,,,,, +朱砂根,Ardisia crenata,刘淼等,A150077,20060820,安徽省,400,生于河边灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01798316.jpg,,,,,,,,,, +,Ardisia crenata,左家哺,1102,19971101,湖南,,山坡,阴,湿,土壤红,灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00602939.jpg,,,,,,,,,, +朱砂根,Ardisia crenata,赵万义、孙键,杨文晟,LXP-13-10472,20130802,江西省宜春市,, ,陆生、灌木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00177200.jpg,,,,,,,,,, +大叶百两金,Ardisia crispa,中越考察队,1240,19650108,新安,1300,Lithocarpus 和 cydo balowmp sis林下,,有果无花,https://image.cvh.ac.cn/files/l/KUN/66064.jpg,,,,,,,,,, +,Ardisia crispa,易思荣,901058,19990512,重庆,,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00602934.jpg,,,,,,,,,, +细柄百两金,Ardisia crispa,朱大海 张超 李小杰,4877,20070826,四川省,1250,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/017993.jpg,,,,,,,,,, +小乔木紫金牛,Ardisia garrettii,李剑武,4778,20190523,云南,829,山地雨林,乔木,有花无果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0035606.jpg,,,,,,,,,, +,Ardisia garrettii,梁畴芬、吴德邻,31951,,广西壮族自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0024737.jpg,,,,,,,,,, +小乔木紫金牛,Ardisia garrettii,胡君,熊豫宁,伍小刚,王东超,HJ05126,20151021,西藏自治区,600,山坡,疏林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00596504.jpg,,,,,,,,,, +,Ardisia griffithii,,,,,,,,,,,,,,,,,,, +矮紫金牛,Ardisia humilis,陈伯毅,王金英,WJY0531,20190416,福建,43~201.3,栽植,,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0007711.jpg,,,,,,,,,, +矮紫金牛,Ardisia humilis,,5363,19190000,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00065166.jpg,,,,,,,,,, +矮紫金牛,Ardisia humilis,李娇娇,20183027,20180417,贵州省,522,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0030155.jpg,,,,,,,,,, +,Ardisia icara,,,,,,,,,,,,,,,,,,, +紫金牛,Ardisia japonica,方石林,,19290802,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/HUFD/0002367.jpg,,,,,,,,,, +紫金牛,Ardisia japonica,乔 英 林,316,1958/10/14,陕西,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0406157.jpg,,,,,,,,,, +紫金牛,Ardisia japonica,刘青林,1,19860705,京都市,,,,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH003466.jpg,,,,,,,,,, +,Ardisia macrocarpa,B.Barhtolomew et D.E.Boufford,3833,19860329,,1850,Mixed deciduous and broadleaved evergreen forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/00064752.jpg,,,,,,,,,, +,Ardisia medogensis,,,,,,,,,,,,,,,,,,, +,Ardisia paniculata,J.O.Viogt,421,,,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00020102.jpg,,,,,,,,,, +,Ardisia pedunculosa,,,,,,,,,,,,,,,,,,, +纽子果,Ardisia polysticta,杨平、李健玲、苏钰岚等,BL096,20190928,广西,~737,石灰岩石山;少见,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00428862.jpg,,,,,,,,,, +纽子果,Ardisia polysticta,黄宝优、姚积军、谢月英,451026141013034LY,20141013,广西壮族自治区,1111,阔叶林、林下,石灰土,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0101670.jpg,,,,,,,,,, +,Ardisia polysticta,王军,2007259,20070704,云南省,0~800,疏林,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0741876.jpg,,,,,,,,,, +,Ardisia rhynchophylla,王军,5642,20090503,,0~377,Along the riverside,Shrub,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0742270.jpg,,,,,,,,,, +酸苔菜,Ardisia solanacea,中越考察队,1150,19650106,山西,130,杂木林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/66883.jpg,,,,,,,,,, +酸苔菜,Ardisia solanacea,C.W.Wang,80966,19361100,云南省,800,,,无花有果,https://image.cvh.ac.cn/files/l/NKU/NK 009109.jpg,,,,,,,,,, +酸薹菜,Ardisia solanacea,,189,19660418,云南景洪,,,,有花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0007988.jpg,,,,,,,,,, +,Ardisia thomsonii,,,,,,,,,,,,,,,,,,, +南方紫金牛,Ardisia thyrsiflora,天峨调查队,4-6-373,19780721,,350,,,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI028119.jpg,,,,,,,,,, +南方紫金牛,Ardisia thyrsiflora,周新茂,鞠文彬,HGX14598,20140513,四川省,1150,路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0234746.jpg,,,,,,,,,, +南方紫金牛,Ardisia thyrsiflora,林树兵,L012,20051207,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00010863.jpg,,,,,,,,,, +,Arenaria neelgherrensis,泛喜马拉雅植物志巴基斯坦采集队,FPH-0164,20120619,,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004832.jpg,,,,,,,,,, +圆叶无心菜,Arenaria orbiculata,PE西藏考察队,7105,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332731.jpg,,,,,,,,,, +圆叶无心菜,Arenaria orbiculata,780工程,1024,19781213,云南省,1200,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268512.jpg,,,,,,,,,, +圆叶无心菜,Arenaria orbiculata,鞠文彬,陈金元,AZH01560,20170519,四川,1690,沟边河漫滩,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254753.jpg,,,,,,,,,, +山生福禄草,Arenaria oreophila,F.Ludlow etc.,15552,19470408,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0511061.jpg,,,,,,,,,, +山生福禄草,Arenaria oreophila,GEORGE FORREST.,30756,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00551945.jpg,,,,,,,,,, +,Arenaria oreophila,张挺,亚吉东,李明勤,王关友,11CS3392,20110918,云南,4624,高山流石滩,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1301210.jpg,,,,,,,,,, +无心菜,Arenaria serpyllifolia,张代贵,lj0125121,20110525,湖北神农架,,田野,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU48252.jpg,,,,,,,,,, +无心菜,Arenaria serpyllifolia,"李良千,王忠涛,杜玉芬,卫然",227,20110912,甘肃省,2017~2110,林缘沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01914158.jpg,,,,,,,,,, +无心菜,Arenaria serpyllifolia,张代贵,zdg4815,20120917,湖北神农架林区,,田野,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU31658.jpg,,,,,,,,,, +小雪花,Argostemma verticillatum,T. P. Wang,10988,1939/6/17,湖北,500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0053601.jpg,,,,,,,,,, +小雪花,Argostemma verticillatum,M.Suzuki etc.,882005,19880702,,0,on mossy rock by stream in Alnus forest.,,有花无果,https://image.cvh.ac.cn/files/l/KUN/359161.jpg,,,,,,,,,, +小雪花,Argostemma verticillatum,周仕顺,15151,20180702,云南,850,热带雨林中,附生草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0031081.jpg,,,,,,,,,, +,Argyreia argentea,广西队,3365,19530810,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02009471.jpg,,,,,,,,,, +,Argyreia argentea,滇西北队,8084,19600413,云南省,1100,山坡阳处杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01648302.jpg,,,,,,,,,, +头花银背藤,Argyreia capitiformis,余丽莹、黄宝优、谢月英、姚积军、杨直升,451031121202075LY,20121202,广西,,灌丛,路旁,黄棕壤,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0191260.jpg,,,,,,,,,, +头花银背藤,Argyreia capitiformis,谭策铭,易桂花,李秀枝,干定枝,张丽萍,091454A,20091224,海南省,263,山谷林中,多年生草质藤本,无花有果,https://image.cvh.ac.cn/files/l/JJF/JJF00032163.jpg,,,,,,,,,, +头花银背藤,Argyreia capitiformis,吕惠珍,农东新,岑海锋,李金花,451025131016002LY,20131016,广西壮族自治区,396,草丛,路旁,石灰土,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0107931.jpg,,,,,,,,,, +美丽银背藤,Argyreia nervosa,"张淑红,普华琼",212,20060322,云南省,570,藤本植物区,藤本,,https://image.cvh.ac.cn/files/l/HITBC/0023167.jpg,,,,,,,,,, +美丽银背藤,Argyreia nervosa,J.G.Jack,8333,19310821,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0526740.jpg,,,,,,,,,, +美丽银背藤,Argyreia nervosa,李沛琼 谢海标,3357,19970919,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00048521.jpg,,,,,,,,,, +叶苞银背藤,Argyreia roxburghii,勐海普查队,5328220889,20120906,云南省,1405,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0020176.jpg,,,,,,,,,, +叶苞背藤,Argyreia roxburghii,C.W.Wang,78777,19350000,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00210018.jpg,,,,,,,,,, +,Argyreia sikkimensis,,,,,,,,,,,,,,,,,,, +亮叶银背藤,Argyreia splendens,W.Nanakorn etc.,2428,19941028,,1200,scattered in hill evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1225311.jpg,,,,,,,,,, +亮叶银背藤,Argyreia splendens,H.T.Tsai,61404,19340805,云南省 ,1300,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00084890.jpg,,,,,,,,,, +亮叶银背藤,Argyreia splendens,朱意麟、严枫、滕建北、杨明灿、甘日呈、陈思任,450481140923017LY,20140923,广西壮族自治区,176,阔叶林,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0146620.jpg,,,,,,,,,, +软紫草,Arnebia euchroma,刘海原等,658,19870717,青海省,4250,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/179262.jpg,,,,,,,,,, +软紫草,Arnebia euchroma,,651266,65.08.05,新疆维吾尔自治区 ,2200,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00031076.jpg,,,,,,,,,, +新藏假紫草,Arnebia euchroma,,826,,贵州,,,,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0071878.jpg,,,,,,,,,, +黄花软紫草,Arnebia guttata,赵一之,10166,19880709,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0032353.jpg,,,,,,,,,, +黄花软紫草,Arnebia guttata,何毅、周瑜,BNU2017XJ125,20170707,新疆维吾尔自治区,1140,路边草地,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043062.jpg,,,,,,,,,, +黄花软紫草,Arnebia guttata,西植新疆队,655,1978/6/28,新疆维吾尔族自治区,1420,沙漠,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/333046.jpg,,,,,,,,,, +黄花蒿,Artemisia annua,张志松,张永田,8236,1960/8/20,贵州,500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0224402.jpg,,,,,,,,,, +黄花蒿,Artemisia annua,曾宪锋,ZXF21729,20160917,广东省,75,山地、路旁,一年生直立草本,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0016244.jpg,,,,,,,,,, +黄花嵩,Artemisia annua,,520123140615024LY,,贵州省,1146.5,中生、阳性、中温、野生植物,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0036314.jpg,,,,,,,,,, +,Artemisia baxoiensis,,,,,,,,,,,,,,,,,,, +美叶蒿,Artemisia calophylla,张志英,14302,1959/9/22,甘肃,900,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0151800.jpg,,,,,,,,,, +美叶蒿,Artemisia calophylla,陶德定,209,19730919,云南省,1900,林缘灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0040437.jpg,,,,,,,,,, +美叶蒿,Artemisia calophylla,李培元,7075,19590812,陕西省,700,道旁,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0040441.jpg,,,,,,,,,, +,Artemisia campbellii,胡君、李丽、罗垚、蒋洪,SC-a-163-B13,20190911,四川,2358,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262563.jpg,,,,,,,,,, +绒毛蒿,Artemisia campbellii,钟补求,8484,1958/7/22,青海,,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0100146.jpg,,,,,,,,,, +绒毛蒿,Artemisia campbellii,四川植被调查队,稻2446,1973-8 3,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0179723.jpg,,,,,,,,,, +米蒿,Artemisia dalai-lamae,潘建斌、杜维波、牛炳韬,Liujq-194,20110925,青海省,0~3421,芨芨草-蒿荒漠,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0285280.jpg,,,,,,,,,, +米蒿,Artemisia dalai-lamae,张发起;王久利;刘海瑞;田尊哲,QXA160806002,20160806,青海,2921,温带灌丛平地,半灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1480717.jpg,,,,,,,,,, +米蒿,Artemisia dalai-lamae,陈晓澄等,6008,20140806,西藏自治区,3312,灌木林山阳坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00015404.jpg,,,,,,,,,, +纤杆蒿,Artemisia demissa,武素功,3402,Oct-59,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0144988.jpg,,,,,,,,,, +纤杆蒿,Artemisia demissa,刘书润,395,19860917,,,,,无花有果,https://image.cvh.ac.cn/files/l/HIMC/0032175.jpg,,,,,,,,,, +纤杆蒿,Artemisia demissa,吴玉虎、梅丽娟等,16367,19990817,青海,3500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00025860.jpg,,,,,,,,,, +沙蒿,Artemisia desertorum,湿地植物采集组,10-066,20070922,北京市,100,石砾、水边附近,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00054052.jpg,,,,,,,,,, +沙蒿,Artemisia desertorum,联大,21304,0,云南省 ,3140,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0040564.jpg,,,,,,,,,, +沙蒿,Artemisia desertorum,,2668,1956.9.3,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00039194.jpg,,,,,,,,,, +矮沙蒿,Artemisia desertorum var. foetida,青藏队,73-1184,19730821,西藏自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0543237.jpg,,,,,,,,,, +矮沙蒿,Artemisia desertorum var. foetida,郭本兆,6106,19650717,青海,3200,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00025943.jpg,,,,,,,,,, +矮沙蒿,Artemisia desertorum var. foetida,Wang Ching-jui,2099,19670812,甘肃省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0543235.jpg,,,,,,,,,, +沙蒿(东俄洛变种),Artemisia desertorum var. tongolensis,Serre,2365,19290726,,,,,有花有果,https://image.cvh.ac.cn/files/l/TIE/00045752.jpg,,,,,,,,,, +东俄洛沙蒿,Artemisia desertorum var. tongolensis,青藏队那曲分队陶德定,10546,19760701,西藏自治区,4600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/59016.jpg,,,,,,,,,, +东俄洛沙蒿,Artemisia desertorum var. tongolensis,李帅等,20167232,20160720,青海省,4320,草甸,草本,有孢子囊,https://image.cvh.ac.cn/files/l/BNU/0031775.jpg,,,,,,,,,, +叉枝蒿,Artemisia divaricata,郭本兆、王为义,23555,19770909,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/68228.jpg,,,,,,,,,, +,Artemisia divaricata,高信芬,鞠文彬,郑臣臣,THP-KD-5938,20170810,四川,4005,草地灌丛,多年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241702.jpg,,,,,,,,,, +叉枝蒿,Artemisia divaricata,"戴伦鹰,钱重海",1025,19510915,湖北省,1080,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00421440.jpg,,,,,,,,,, +,Artemisia dubia,韦发南,刘演,M0012,19940807,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00199146.jpg,,,,,,,,,, +无毛牛尾蒿,Artemisia dubia,李思峰、黎斌、张莹、陈昊,12424,20090820,陕西省,1700,山坡路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/002844.jpg,,,,,,,,,, +无毛牛尾蒿,Artemisia dubia,北师大队,LPS2015013,20150722,宁夏省,,灌丛草地,,,https://image.cvh.ac.cn/files/l/BNU/0019241.jpg,,,,,,,,,, +无毛牛尾蒿,Artemisia dubia var. subdigitata,李思峰、黎斌、张莹、陈昊,12424,20090820,陕西省,1700,山坡路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/002844.jpg,,,,,,,,,, +无毛牛尾蒿,Artemisia dubia var. subdigitata,C.W.Wang,60212,19330727,北京市,,road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/00492279.jpg,,,,,,,,,, +无毛牛尾蒿,Artemisia dubia var. subdigitata,余岩、李娟,2022931,20200719,四川,3766,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02022931.jpg,,,,,,,,,, +紫花冷蒿,Artemisia frigida,刘冰,300,20060806,内蒙古,1270,典型草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809869.jpg,,,,,,,,,, +冷蒿,Artemisia frigida,克里木,92616,1992.9.1,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00039386.jpg,,,,,,,,,, +冷蒿,Artemisia frigida,唐宏亮,SHB020714,20140815,河北,1121米,山坡,,有花无果,https://image.cvh.ac.cn/files/l/HBU/HBU0000033.jpg,,,,,,,,,, +细裂叶莲蒿,Artemisia gmelinii,K.Ling,1759,19250728,山西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/280157383.jpg,,,,,,,,,, +细裂叶莲蒿,Artemisia gmelinii,,1523,19151014,江苏省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/280157389.jpg,,,,,,,,,, +细裂叶莲蒿,Artemisia gmelinii,西藏考察队,3570,19740723,西藏,4460~4800,北坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00025963.jpg,,,,,,,,,, +,Artemisia gmelinii var. incana,河北农业大学植物教研组,4-256,19590813,河北省,880,山坡 阳处 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240155.jpg,,,,,,,,,, +臭蒿,Artemisia hedinii,黔南队,107,19590325,贵州省,1200,山顶阳处,,无花无果,https://image.cvh.ac.cn/files/l/PE/00444483.jpg,,,,,,,,,, +臭蒿,Artemisia hedinii,赵一之,2488,19800831,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0032446.jpg,,,,,,,,,, +臭蒿,Artemisia hedinii,付筱,雷嘉卿,周雨阳,FX-00-00-28-023,20200928,四川,3045,路边,阴生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02072259.jpg,,,,,,,,,, +五月艾,Artemisia indica,吴征镒,8916,19891018,广岛,940,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0041031.jpg,,,,,,,,,, +五月艾,Artemisia indica,张志英,15252,1959/9/15,甘肃,900,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0375905.jpg,,,,,,,,,, +五月艾,Artemisia indica,陈少卿,15293,19580825,广西状族自治区,650,山地水旁山谷密林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0040962.jpg,,,,,,,,,, +,Artemisia japonica,邢吉庆,10898,1959/8/9,湖北省,1020,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0129739.jpg,,,,,,,,,, +东北牡蒿,Artemisia japonica,白城组,45,19590807,吉林,,平坦碱性草原,,有花无果,https://image.cvh.ac.cn/files/l/JLSLKY/JLSLKY00460.jpg,,,,,,,,,, +西南牡蒿,Artemisia japonica,汪发缵,64,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0041211.jpg,,,,,,,,,, +野艾蒿,Artemisia lavandulifolia,侯元同,侯元免,宋晓琳,王祥荣,李涵,魏龙凡,赵飞燕,370503191007316LY-2,20191007,山东,-3,草丛,多年生草本植物,无花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0051768.jpg,,,,,,,,,, +野艾蒿,Artemisia lavandulifolia,张代贵,YH15092440,20150921,湖南株洲,,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU45440.jpg,,,,,,,,,, +野艾蒿,Artemisia lavandulifolia,17k3-1,1931060,20190828,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0025401.jpg,,,,,,,,,, +白叶蒿,Artemisia leucophylla,黄河调查队,7793,19560823,陕西,,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00025820.jpg,,,,,,,,,, +白叶蒿,Artemisia leucophylla,关克俭 王文采等,914,19570809,四川省,3500,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0001051.jpg,,,,,,,,,, +白叶蒿,Artemisia leucophylla,,2508,19590817,河北省,1500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235628.jpg,,,,,,,,,, +,Artemisia lingyeouruennii,,,,,,,,,,,,,,,,,,, +大花蒿,Artemisia macrocephala,李帅等,20167280,20160722,西藏自治区,4500,草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0030775.jpg,,,,,,,,,, +大花蒿,Artemisia macrocephala,西植新疆队 西植新疆队,1118,1978/7/6,新疆维吾尔族自治区,3950,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0334318.jpg,,,,,,,,,, +大花蒿,Artemisia macrocephala,王庆瑞,6600,19770809,甘肃,3000~3250,云杉林下草地,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093038.jpg,,,,,,,,,, +无绒粘毛蒿,Artemisia mattfeldii var. etomentosa,药源队,15381,1960-8 2,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172382.jpg,,,,,,,,,, +,Artemisia mattfeldii var. etomentosa,"Ching, R.C.",923,28-Aug-23,,,,,,https://image.cvh.ac.cn/files/l/E/E00531409.jpg,,,,,,,,,, +粘毛蒿,Artemisia mattfeldii var. etomentosa,T.P.Wang,7629,1937/9/1,甘肃,3700,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0022778.jpg,,,,,,,,,, +垫型蒿,Artemisia minor,"武素功,大场秀章,吴玉虎,费勇",2327,19880827,新疆维吾尔自治区,4300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/150339.jpg,,,,,,,,,, +垫型蒿,Artemisia minor,张发起,高庆波,迟晓峰,刑睿,贾留坤,夏铭泽,QXA0100,20170822,青海,4190,温带高寒草甸,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1436289.jpg,,,,,,,,,, +垫型蒿,Artemisia minor,克里木,A0073,198081,,2500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20020111.jpg,,,,,,,,,, +木斯塘蒿,Artemisia mustangensis,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201537,20200807,西藏,4182,荒地上,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1508382.jpg,,,,,,,,,, +多花蒿,Artemisia myriantha,吴玉虎等,6044,19900807,青海省,3040,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/161342.jpg,,,,,,,,,, +白毛多花蒿,Artemisia myriantha,刘林翰,9660,19580906,湖南省,350,山地荒山,草本直立,有花无果,https://image.cvh.ac.cn/files/l/KUN/0041641.jpg,,,,,,,,,, +白毛多花蒿,Artemisia myriantha,刘景欣,1524,20091216,云南,1749,茶园,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029519.jpg,,,,,,,,,, +南亚蒿,Artemisia nilagirica,R.Gorz,,19290000,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/280163039.jpg,,,,,,,,,, +藏旱蒿,Artemisia nortonii,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201695,20200812,西藏,4927,湖边沙地,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1509328.jpg,,,,,,,,,, +,Artemisia occidentalisinensis,,,,,,,,,,,,,,,,,,, +,Artemisia occidentalisinensis var. denticulata,,,,,,,,,,,,,,,,,,, +,Artemisia orientalixizangensis,,,,,,,,,,,,,,,,,,, +西南牡蒿,Artemisia parviflora,黄土队,4873,1986/8/12,甘肃省,1540,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0470174.jpg,,,,,,,,,, +西南牡蒿,Artemisia parviflora,遥感队,8,19780700,云南省,1380,,草本,,https://image.cvh.ac.cn/files/l/HITBC/0018545西南牡蒿,Artemisia parviflora,,,19630000,云南省,2740,,草本,,https://image.cvh.ac.cn/files/l/HITBC/0018539.jpg +西南牡蒿,Artemisia parviflora,傅坤俊,17032,1973/8/14,河南,960,,草本、直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0144433.jpg,,,,,,,,,, +伊朗蒿,Artemisia persica,,529,19620815,,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0033417.jpg,,,,,,,,,, +伊朗蒿,Artemisia persica,青海植物,478,1964/8/8,青海,4250,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0261492.jpg,,,,,,,,,, +伊朗蒿,Artemisia persica,,770295,19770727,新疆维吾尔自治区,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00478006.jpg,,,,,,,,,, +大头柔毛蒿,Artemisia pubescens,中医学,163,19740725,内蒙古自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0544963.jpg,,,,,,,,,, +柔毛蒿,Artemisia pubescens,W.Y.Hsia,H.3289,19320907,北京市,500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00478147.jpg,,,,,,,,,, +柔毛蒿,Artemisia pubescens,谭策铭,易桂花,15101459,20151016,河北省,15,古城脚灌草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00028365.jpg,,,,,,,,,, +灰苞蒿,Artemisia roxburghiana,刘玉红,8,19880903,重庆市,1875,试验地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00478215.jpg,,,,,,,,,, +灰苞蒿,Artemisia roxburghiana,姚卫红,16101610,20161016,湖南省,400,林缘,,,https://image.cvh.ac.cn/files/l/CSFI/CSFI053793.jpg,,,,,,,,,, +灰苞蒿,Artemisia roxburghiana,安明态 王建中,环一北京林业大学队,20100700,贵州,,山坡旁边,草本,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00075676.jpg,,,,,,,,,, +猪毛蒿,Artemisia scoparia,Hu & But,22692,19931018,香港特别行政区,,growing in sand 20m from sea water,,,https://image.cvh.ac.cn/files/l/KUN/1293272.jpg,,,,,,,,,, +,Artemisia scoparia,B. Skvortzov,,19220608,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/14143043a0015.jpg,,,,,,,,,, +猪毛蒿,Artemisia scoparia,黄迎新,3395,20150728,吉林省松原市,186,草甸/盐化低地草甸/盐碱土,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0233706.jpg,,,,,,,,,, +,Artemisia sieversiana,张玉良,1163,19500910,黑龙江省,400,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/14143005a0001.jpg,,,,,,,,,, +大籽蒿,Artemisia sieversiana,黄河队,8857,1956/9/21,甘肃,1650,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0086995.jpg,,,,,,,,,, +,Artemisia sieversiana,F.H.Chen,2338,1930,吉林,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0061609.jpg,,,,,,,,,, +,Artemisia stechmanniana,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1437-3021,20190807,甘肃,2101,山坡草地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1477214.jpg,,,,,,,,,, +白莲蒿,Artemisia stechmanniana,张代贵,130912011,20130912,湖南湘西州,,生于中、低海拔地区的山坡、路旁、灌丛地及森林草原地区,半灌木状草本,有花有果,https://image.cvh.ac.cn/files/l/JIU/JIU23265.jpg,,,,,,,,,, +白莲蒿,Artemisia stechmanniana,左忠 ;左伟;王雨,ZuoZh301,20190926,宁夏,1895,温带森林草原封山育林地,半灌木状草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1553849.jpg,,,,,,,,,, +,Artemisia stracheyi,"Thomson, T.",,,,,,,,https://image.cvh.ac.cn/files/l/P/P02284380.jpg,,,,,,,,,, +冻原白蒿,Artemisia stracheyi,不祥,4140,19740823,西藏自治区,4530,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/41121.jpg,,,,,,,,,, +冻原白蒿,Artemisia stracheyi,青藏队,870456,19870705,新疆维吾尔自治区,4700,流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042135.jpg,,,,,,,,,, +,Artemisia stricta,"Maire, Edouard-Ernest",609,1913,,,,,,https://image.cvh.ac.cn/files/l/E/E00417307.jpg,,,,,,,,,, +,Artemisia stricta,王启无,70213,1935/3/26,云南省,2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0036572.jpg,,,,,,,,,, +直茎蒿,Artemisia stricta,,70213,,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00482067.jpg,,,,,,,,,, +,Artemisia stricta var. diffusa,,,,,,,,,,,,,,,,,,, +无毛川藏蒿,Artemisia tainingensis var. nitida,青藏队,3541,19810718,云南省,2600,山坡灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042205.jpg,,,,,,,,,, +无毛川藏蒿,Artemisia tainingensis var. nitida,洮河队,120,19910805,甘肃省,2950,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042203.jpg,,,,,,,,,, +无毛川藏蒿,Artemisia tainingensis var. nitida,青藏队,7246,19750809,西藏自治区,4850,山坡草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042204.jpg,,,,,,,,,, +裂叶蒿,Artemisia tanacetifolia,西植新疆队,3830,1978/9/14,新疆维吾尔族自治区,1500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0341667.jpg,,,,,,,,,, +裂叶蒿,Artemisia tanacetifolia,易富科,32,19900412,辽宁省,,坡地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0014406.jpg,,,,,,,,,, +裂叶蒿,Artemisia tanacetifolia,刘坤,LJQ-WYJ-452,20111007,甘肃省,0~2651,阳坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0282002.jpg,,,,,,,,,, +绒毛甘青蒿,Artemisia tangutica var. tomentosa,Harry Smith,10393,19340711,四川省,3100,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00029961.jpg,,,,,,,,,, +绒毛甘青蒿(变种),Artemisia tangutica var. tomentosa,,503,19780807,四川,2300,,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM719401103.jpg,,,,,,,,,, +绒毛甘青蒿,Artemisia tangutica var. tomentosa,徐光远,4520,1988/8/21,陕西,2400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0474980.jpg,,,,,,,,,, +藏腺毛蒿,Artemisia thellungiana, 钟树权,A.60191,19551214,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00023054.jpg,,,,,,,,,, +藏腺毛蒿,Artemisia thellungiana,PE西藏队,PE6826,20170917,西藏自治区,3971,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891059.jpg,,,,,,,,,, +藏腺毛蒿,Artemisia thellungiana,安顺队,1946,19590919,贵州省,1300,山脚草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479784.jpg,,,,,,,,,, +黄毛蒿,Artemisia velutina,钟义,4711,19611018,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/040956.jpg,,,,,,,,,, +黄毛蒿,Artemisia velutina,倪志诚 汪永泽 次多 次旦,672,19800715,西藏自治区,1650,山坡草丛中,草本,无花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0008286.jpg,,,,,,,,,, +黄毛蒿,Artemisia velutina,林有润,89-251,19891012,四川,2900,山地,路旁,普遍,直立草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0144878.jpg,,,,,,,,,, +毛莲蒿,Artemisia vestita,方文哲,刘守炉,盛国芳,107,1963/10/20,江苏,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0220619.jpg,,,,,,,,,, +两色毛莲蓬,Artemisia vestita,周以良,2208,19500830,吉林省,200,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/14143016a0054.jpg,,,,,,,,,, +毛莲蒿,Artemisia vestita,科考队,Y0100,20021025,江西省,,小路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01775960.jpg,,,,,,,,,, +藏东蒿,Artemisia vexans,陈晓澄等,6413,20140809,西藏自治区,2890,灌木林,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00015266.jpg,,,,,,,,,, +藏东蒿,Artemisia vexans,Harry Smith,11091,19340817,四川省,3200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00479987.jpg,,,,,,,,,, +北艾、山艾,Artemisia vulgaris,Serre,3137,19300826,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/TIE/00011772.jpg,,,,,,,,,, +,Artemisia vulgaris,方振富,1598,19630927,辽宁省,,山路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00492063.jpg,,,,,,,,,, +,Artemisia vulgaris,川经植,399,19590528,四川省,1600,阴处山坡草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00492066.jpg,,,,,,,,,, +藏北艾,Artemisia vulgaris var. xizangensis,吴征镒,5891,19760913,西藏自治区,3500,流石滩上灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0042377.jpg,,,,,,,,,, +小球花蒿,Artemisia wallichiana,赵魁义,722,19810815,云南省,3240,湖滨沼泽草甸,,无花有果,https://image.cvh.ac.cn/files/l/IGA/IGA0014421.jpg,,,,,,,,,, +玉树龙蒿,Artemisia waltonii var. yushuensis,郭本兆、王为义,21630,19770718,西藏,3300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028547.jpg,,,,,,,,,, +玉树龙蒿,Artemisia waltonii var. yushuensis,周立华、孙立南,2106,19700912,青海,3420,水渠边,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028548.jpg,,,,,,,,,, +,Artemisia waltonii var. yushuensis,"陈伟烈,陈家瑞,郭柯等",7245,19840704,四川省,3100,江边草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050012.jpg,,,,,,,,,, +藏沙蒿,Artemisia wellbyi,动物室,,,西藏自治区,4350,,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0000445.jpg,,,,,,,,,, +藏沙蒿,Artemisia wellbyi,生物研究所西藏考察队,4311,1974.9.6,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00039973.jpg,,,,,,,,,, +藏沙蒿,Artemisia wellbyi,生物研究所西藏考察队,4311,197496,,4500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20020547.jpg,,,,,,,,,, +马利筋,Asclepias curassavica,J.A.Shafer,s.n.,19020726,pennsylvania,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/307145.jpg,,,,,,,,,, +马利筋,Asclepias curassavica,梁向日,62342,19330803,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00097014.jpg,,,,,,,,,, +马利筋,Asclepias curassavica,B.Ehrle,6693,19650727,New York,258,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/307133.jpg,,,,,,,,,, +弯茎假苦菜,Askellia flexuosa,何毅、周瑜,BNU2017XJ051,20170705,新疆,1000,荒漠灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0055046.jpg,,,,,,,,,, +,Askellia flexuosa,青藏队植被组,12974,19760710,西藏自治区,4200,坡荒卵石间,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234533.jpg,,,,,,,,,, +,Askellia flexuosa,陈又生,13-2264,20130902,新疆维吾尔自治区,2817,山谷砾石地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919931.jpg,,,,,,,,,, +,Askellia lactea,,,,,,,,,,,,,,,,,,, +,Askellia pygmaea,,,,,,,,,,,,,,,,,,, +糙草,Asperugo procumbens,钟补求,8206,1958/6/27,宁夏?,2600,"农田中 ,道旁",草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/100268.jpg,,,,,,,,,, +糙草,Asperugo procumbens,刘全儒,,20050722,内蒙古自治区,2800~3000,,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0042066.jpg,,,,,,,,,, +糙草,Asperugo procumbens,T.P.Wang,4268,1936-6 9,陕西省,1900,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0118958.jpg,,,,,,,,,, +对叶车叶草,Asperula oppositifolia,张林、李星月、张晓严,7-393,20180618,西藏,2830,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023759.jpg,,,,,,,,,, +,Asperula oppositifolia,泛喜马拉雅植物志巴基斯坦采集队,FPH-0506,20120622,,2543,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004585.jpg,,,,,,,,,, +对叶车叶草,Asperula oppositifolia,青藏队,8126,19760630,西藏自治区,3700,山坡砂砾地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/313906.jpg,,,,,,,,,, +微糙三脉紫菀,Aster ageratoides,云大生物系,23,0,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0042596.jpg,,,,,,,,,, +三脉紫菀,Aster ageratoides,章庄乡,LYP06-8063,20151005,江西萍乡,,山谷湿地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU68488.jpg,,,,,,,,,, +微糙三脉紫菀,Aster ageratoides,钟义,4588,19610819,海南省,,平原,草本,,https://image.cvh.ac.cn/files/l/HITBC/0018660.jpg,,,,,,,,,, +柳叶小舌紫菀,Aster albescens,傅坤俊,5245,1952-7 2,陕西省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0141858.jpg,,,,,,,,,, +柳叶小舌紫菀,Aster albescens,,乡3233,1973-8 2,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0141854.jpg,,,,,,,,,, +小舌紫菀,Aster albescens,周洪富等,111081,19640000,重庆,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823497.jpg,,,,,,,,,, +,Aster albescens var. glabratus,D.E.Boufford et al.,38859,20070803,四川省,2990~3050,on slope in open.,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882355.jpg,,,,,,,,,, +,Aster albescens var. glabratus,D.E.Boufford et al,30173,20000818,西藏自治区,2975,Roadside and gravel area along Niyang He.,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882358.jpg,,,,,,,,,, +腺点小舌紫菀,Aster albescens var. glandulosus,"姜恕,金存礼等",2351,19590722,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00274692.jpg,,,,,,,,,, +,Aster albescens var. glandulosus,"Kingdon-Ward, Francis",10752,6-Aug-33,,,,,,https://image.cvh.ac.cn/files/l/E/E00385688.jpg,,,,,,,,,, +腺点小舌紫菀,Aster albescens var. glandulosus,杨竞生,91-493,19910630,西藏,3650,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823528.jpg,,,,,,,,,, +狭叶小舌紫菀,Aster albescens var. gracilior,小山博滋等,1000,19820908,云南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0043375.jpg,,,,,,,,,, +狭叶小舌紫菀,Aster albescens var. gracilior,张志英,14794,19590909,甘肃,800,山坡道旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823529.jpg,,,,,,,,,, +,Aster albescens var. gracilior,"Forrest, George",4004,,,,,,,https://image.cvh.ac.cn/files/l/E/E00385622.jpg,,,,,,,,,, +椭叶小舌紫菀,Aster albescens var. limprichtii,生物研究所西藏考察队,834,19730708,西藏自治区,2300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/37941.jpg,,,,,,,,,, +椭叶小舌紫菀,Aster albescens var. limprichtii,李沛琼,149,19860926,四川,2200,松栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01822229.jpg,,,,,,,,,, +椭叶小舌紫菀,Aster albescens var. limprichtii,张志英,6284,19590712,甘肃省,1000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/1677.jpg,,,,,,,,,, +长毛小舌紫菀,Aster albescens var. pilosus,罗开钧等,613582,19610709,云南省,3150,山顶荒地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0043332.jpg,,,,,,,,,, +长毛小舌紫菀,Aster albescens var. pilosus,郭本兆,2003,1952-8 1,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0141836.jpg,,,,,,,,,, +,Aster albescens var. pilosus,"Rock, Joseph Francis Charles",5164,22-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00385623.jpg,,,,,,,,,, +柳叶小舌紫菀,Aster albescens var. salignus,,乡3233,1973-8 2,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0141854.jpg,,,,,,,,,, +柳叶小舌紫菀,Aster albescens var. salignus,,57617,,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00482423.jpg,,,,,,,,,, +柳叶小舌紫菀,Aster albescens var. salignus,王作宾,14773,1951,甘肃省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0043335.jpg,,,,,,,,,, +,Aster alpinus,关克俭,3979,19570830,新疆维吾尔自治区,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00275017.jpg,,,,,,,,,, +高山紫菀,Aster alpinus,中德考察队,948,19870907,Breiteubvuuu,850~900,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0043398.jpg,,,,,,,,,, +高山紫菀,Aster alpinus,戴天伦,107079,19580903,重庆市,1350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824228.jpg,,,,,,,,,, +阿尔太紫菀,Aster altaicus,关克俭,1220,19570706,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/79011.jpg,,,,,,,,,, +,Aster altaicus,C.C.Liang,1031,193607,广东,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0054632.jpg,,,,,,,,,, +阿尔泰狗娃花,Aster altaicus,杨秋水,7,,新疆,,,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093322.jpg,,,,,,,,,, +星舌紫菀,Aster asteroides,汤宗孝,1224,19830629,四川,3960,山坡路旁高山灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01823543.jpg,,,,,,,,,, +星舌紫菀,Aster asteroides,陈桂琛等,1098,19980704,甘肃省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/185911.jpg,,,,,,,,,, +,Aster asteroides,"Maire, Edouard-Ernest",s.n.,12-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00385620.jpg,,,,,,,,,, +耳叶紫菀,Aster auriculatus,谭士贤,317,19840817,重庆,780,路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01822325.jpg,,,,,,,,,, +耳叶紫菀,Aster auriculatus,W.Y.Hsia,8401,1940/8/31,甘肃,,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0067972.jpg,,,,,,,,,, +耳叶紫菀,Aster auriculatus,税玉民,3188,19930731,云南,2400,山坡灌丛下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01823588.jpg,,,,,,,,,, +髯毛紫菀,Aster barbellatus,青藏队植被组,4712,19750719,西藏自治区,3200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519297.jpg,,,,,,,,,, +髯毛紫菀,Aster barbellatus,,1454,19650702,西藏,,荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825825.jpg,,,,,,,,,, +青藏狗娃花,Aster boweri,朱鑫鑫;王君;王美华,ZXX201822,20200816,西藏,3619,湿地里,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509797.jpg,,,,,,,,,, +,Aster boweri,中国科学院青甘调查队,1354,19590812,青海省,3200,奠河冲积扇,,有花无果,https://image.cvh.ac.cn/files/l/PE/00286706.jpg,,,,,,,,,, +青藏狗娃花,Aster boweri,J.F.Rock,3352,19250900,西藏自治区,3261.36,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00482980.jpg,,,,,,,,,, +,Aster crenatifolius,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11809,20161109,西藏,2210,河谷杂木林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1452076.jpg,,,,,,,,,, +,Aster crenatifolius,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-139-B39,20190823,四川,3221,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262562.jpg,,,,,,,,,, +,Aster crenatifolius,李馨,76660,19571008,四川省,1920,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00286793.jpg,,,,,,,,,, +,Aster diplostephioides,,34608,19360718,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0004218.jpg,,,,,,,,,, +重冠紫菀,Aster diplostephioides,杨永昌,1336,19650802,青海,4600,阴坡灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823557.jpg,,,,,,,,,, +,Aster diplostephioides,王乾、顾健,SCW0666,20190823,四川,4289,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0267523.jpg,,,,,,,,,, +,Aster eligulatus,,,,,,,,,,,,,,,,,,, +狭苞紫菀,Aster farreri,陈晓澄等,2498,20120808,青海省,3740,灌丛河边,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00010228.jpg,,,,,,,,,, +狭苞紫菀,Aster farreri,周立华、孙立南,1493,19700714,甘肃省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/22733.jpg,,,,,,,,,, +狭苞紫菀,Aster farreri,生天,1472,19570814,新疆维吾尔自治区 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0043839.jpg,,,,,,,,,, +,Aster flaccidus,,7589,19250624,内蒙古,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00034129.jpg,,,,,,,,,, +萎软紫菀,Aster flaccidus,,860325,86.8.6,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00041669.jpg,,,,,,,,,, +萎软紫菀,Aster flaccidus,郭本兆,11330,19750715,青海,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823574.jpg,,,,,,,,,, +腺毛萎软紫菀,Aster flaccidus subsp. glandulosus,青藏队,5107,19810822,四川省,4450,高山 湖泊岸边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01536160.jpg,,,,,,,,,, +腺毛萎软紫菀,Aster flaccidus subsp. glandulosus,吴玉虎,35763,20050806,青海省,4900,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0222358.jpg,,,,,,,,,, +,Aster flaccidus subsp. glandulosus,鞠文彬,郑臣臣,THP-KD-6072,20170814,四川,3810,草地灌丛,多年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252388.jpg,,,,,,,,,, +褐毛紫菀,Aster fuscescens,黔东队,94273,19941110,贵州省,970,,草本,无花无果,https://image.cvh.ac.cn/files/l/HGAS/029968.jpg,,,,,,,,,, +褐毛紫菀,Aster fuscescens,H.T.Tsai,58018,,云南省 ,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00483004.jpg,,,,,,,,,, +褐毛紫菀,Aster fuscescens,,3952,19590713,四川,3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719401256.jpg,,,,,,,,,, +,Aster gouldii,"刘成, 张挺, 亚吉东",18CS17445,20180910,西藏,4920,高山碎石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483915.jpg,,,,,,,,,, +,Aster gouldii,傅国勋,1386,19600000,西藏自治区,3800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00286905.jpg,,,,,,,,,, +,Aster heliopsis,"陈又生,张树仁,于胜祥,卫然",547,20111114,西藏自治区,3429,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016462.jpg,,,,,,,,,, +须弥紫菀,Aster himalaicus,李红、白洪兵,533324180922990LY,20180922,云南,3700,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010046.jpg,,,,,,,,,, +,Aster himalaicus,王乾、顾健,SCW1342,20200627,四川,3376,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260108.jpg,,,,,,,,,, +须弥紫菀,Aster himalaicus,方震东,和光,barry,D-155,20040921,云南省,4067,高山杜鹃灌从,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007518.jpg,,,,,,,,,, +叶苞紫苑,Aster indamellus,魏来、何毅,BNUXZ2016182,20160718,西藏,4200,干旱山坡,,,https://image.cvh.ac.cn/files/l/BNU/0028191.jpg,,,,,,,,,, +叶苞紫菀,Aster indamellus,青藏队,7158,19750801,西藏自治区,4000,山坡草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0044095.jpg,,,,,,,,,, +宽苞紫菀,Aster latibracteatus,C.W.Wang,68388,19350800,云南省,3600,,herbs,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 011461.jpg,,,,,,,,,, +,Aster latibracteatus,"Delavay, J.M.",2650,1887-8-19,,,,,,https://image.cvh.ac.cn/files/l/P/P00711701.jpg,,,,,,,,,, +宽苞紫菀,Aster latibracteatus,,,19810000,四川省,3800,黄栎灌丛,草本,,https://image.cvh.ac.cn/files/l/HITBC/0018724.jpg,,,,,,,,,, +丽江紫菀,Aster likiangensis,George Forrest,20805,1922,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU050094.jpg,,,,,,,,,, +,Aster likiangensis,"Delavay, J.M.",2098,1886-8-14,,,,,,https://image.cvh.ac.cn/files/l/P/P00711708.jpg,,,,,,,,,, +丽江紫菀,Aster likiangensis,"韩裕丰,邓坤梅,陈永瑞",81-1317,19810700,云南,4100,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823581.jpg,,,,,,,,,, +软毛紫菀,Aster molliusculus,J.F.Duthie,,19970707,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0546545.jpg,,,,,,,,,, +墨脱紫菀,Aster motuoensis,"李渤生,程树志",2181,19821214,西藏自治区,1100,江边石上时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050374.jpg,,,,,,,,,, +新雅紫菀,Aster neoelegans,张林、李星月、张晓严,6-254,20180615,西藏,2845,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023565.jpg,,,,,,,,,, +,Aster neolanuginosus,,,,,,,,,,,,,,,,,,, +石生紫菀,Aster oreophilus,胡君,王东超,李丽,唐露,SC-a-044-B28,20180711,四川省,3890,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610130.jpg,,,,,,,,,, +,Aster oreophilus,胡君、王东超、李丽、唐露,SC-a-062-B07,20180731,贵州,,高山栎群落中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610008.jpg,,,,,,,,,, +,Aster oreophilus,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-136-B06,20190822,四川,3886,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261687.jpg,,,,,,,,,, +厚棉紫菀,Aster prainii,青藏队,76-9112,19760823,西藏自治区,5400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/60584.jpg,,,,,,,,,, +厚棉紫菀,Aster prainii,"D.E.Boufford,et al",36156,20060809,四川省,4200~4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799226.jpg,,,,,,,,,, +厚棉紫菀,Aster prainii,郎楷永,9892,19760730,西藏,4950,山坡草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825461.jpg,,,,,,,,,, +密叶紫菀,Aster pycnophyllus,四川药源普查队,26513,19600912,四川省,3000,荫生,,有花无果,https://image.cvh.ac.cn/files/l/PE/00287581.jpg,,,,,,,,,, +密叶紫菀,Aster pycnophyllus,武素功,8475,19640815,云南省,3400,山谷灌木草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0044394.jpg,,,,,,,,,, +密叶紫菀,Aster pycnophyllus,联大,11392,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0044406.jpg,,,,,,,,,, +怒江紫菀,Aster salwinensis,Joseph F.Rock,22891,19320500,云南省 ,4267.2,alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00483132.jpg,,,,,,,,,, +怒江紫菀,Aster salwinensis,四川植被调查队,稻2404,1973-7 3,四川省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0142015.jpg,,,,,,,,,, +怒江紫菀,Aster salwinensis,方震东,1028,19880908,云南省,4150,高山灌丛草甸带,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002617.jpg,,,,,,,,,, +半卧狗娃花,Aster semiprostratus,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,11月13日,20180816,西藏,4532.3,公路边,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0193845.jpg,,,,,,,,,, +半卧狗娃花,Aster semiprostratus,高庆波、贾留坤,Gao2017140,20170804,青海,4312,荒漠草原,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026045.jpg,,,,,,,,,, +,Aster semiprostratus,PE西藏队,PE5613,20170901,西藏自治区,4900,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333829.jpg,,,,,,,,,, +,Aster sikkimensis,,,,,,,,,,,,,,,,,,, +缘毛紫菀,Aster souliei,杨永昌,1029,19650625,青海,3650,森林边缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823603.jpg,,,,,,,,,, +缘毛紫菀,Aster souliei,刘坤,LiuJQ-GN-511,20110804,甘肃省,0~3525,草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0285041.jpg,,,,,,,,,, +,Aster souliei,"Farrer, R. & Purdom, W.",173,7-Jul-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00385635.jpg,,,,,,,,,, +匍生紫菀,Aster stracheyi,青藏队植被组,6503,19750627,西藏自治区,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00287853.jpg,,,,,,,,,, +匍生紫菀,Aster stracheyi,,425,19200426,广东省,,,,,https://image.cvh.ac.cn/files/l/IBK/IBK00346498.jpg,,,,,,,,,, +匍生紫菀,Aster stracheyi,陈家瑞,92288,19920918,西藏,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830619.jpg,,,,,,,,,, +,Aster thomsonii,,,,,,,,,,,,,,,,,,, +,Aster tricephalus,,,,,,,,,,,,,,,,,,, +三基脉紫菀,Aster trinervius,"Tsui,T.M.",696,,广东省,,,,有花有果,https://image.cvh.ac.cn/files/l/AU/AU050045.jpg,,,,,,,,,, +三脉紫菀,Aster trinervius,鲁道旺,522226190427022LY,20190427,贵州,1262,灌丛、中生、阳性、中温、钙质土、野生植物,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0103907.jpg,,,,,,,,,, +,Aster trinervius,,6641,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0546806.jpg,,,,,,,,,, +秋分草,Aster verticillatus,凌云普查队,4.51E+14,20121021,广西壮族自治区,950,灌丛,沟边,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0141035.jpg,,,,,,,,,, +秋分草,Aster verticillatus,鞠文彬,张程,陈德奎,黎怀成,AZH00420,20150731,四川,1627,河边林缘,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0235891.jpg,,,,,,,,,, +秋分草,Aster verticillatus,李克纲、张代贵,SN20150902_0262,20150902,湖南,596,路边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU46340.jpg,,,,,,,,,, +密毛紫菀,Aster vestitus,Albert N.Steward and H.C.Cheo,342,19330506,广西壮族自治区,0~1300,,,有花有果,https://image.cvh.ac.cn/files/l/N/280157751.jpg,,,,,,,,,, +密毛紫菀,Aster vestitus,罗一哲,2562,20181012,湖北,458,草坡,,有花有果,https://image.cvh.ac.cn/files/l/HENU/HENU1902562.jpg,,,,,,,,,, +密毛紫菀,Aster vestitus,汪前生,2992,19851102,湖南省,550,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0001435.jpg,,,,,,,,,, +狭苞云南紫菀,Aster yunnanensis var. angustior,海仙,谢爱芳,HX2008-149,20080722,云南省,3378,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005402.jpg,,,,,,,,,, +狭苞云南紫菀,Aster yunnanensis var. angustior,青藏队植被组,9472,19760804,西藏自治区,3850,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01519317.jpg,,,,,,,,,, +狭苞云南紫菀,Aster yunnanensis var. angustior,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20900,20200701,西藏,3975,荒地上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505048.jpg,,,,,,,,,, +夏河云南紫菀,Aster yunnanensis var. labrangensis,那木哉,s.n.,,西藏,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01822324.jpg,,,,,,,,,, +夏河云南紫菀,Aster yunnanensis var. labrangensis,青藏队,11071,19760822,西藏自治区,4200~4300,河谷阳坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0044888.jpg,,,,,,,,,, +夏河云南紫菀,Aster yunnanensis var. labrangensis,姜恕等,9279,19610711,四川,4000,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824930.jpg,,,,,,,,,, +球果牧根草,Asyneuma chinense,田林普查队,4.51E+14,20130719,广西壮族自治区,1360,灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0140016.jpg,,,,,,,,,, +球果牧根草,Asyneuma chinense,荔浦县普查队,450331190422001LY,20190422,广西,~170,针阔混交林,林下,黄棕壤;一般;野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00435840.jpg,,,,,,,,,, +球果牧根草,Asyneuma chinense,吴磊,4564,20140419,广西省,250~300,山坡密林,,,https://image.cvh.ac.cn/files/l/BNU/0014529.jpg,,,,,,,,,, +长果牧根草,Asyneuma fulgens,C.W.Wang,64442,19350700,云南省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00275479.jpg,,,,,,,,,, +西南牧根草,Asyneuma fulgens,犹光祥、毛福高,,19870609,贵州,1210,生于草地坡或疏林中,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0079728.jpg,,,,,,,,,, +长果牧根草,Asyneuma fulgens,R.C.Ching,5500,19280530,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00275756.jpg,,,,,,,,,, +白接骨,Asystasia neesiana,程艺,DC575,20210720,河南,212,山坡,,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0220876.jpg,,,,,,,,,, +白接骨,Asystasia neesiana,"zhang,xu",91,19890818,,150,路边林下,草本,,https://image.cvh.ac.cn/files/l/ZM/ZMNH0034361.jpg,,,,,,,,,, +白接骨,Asystasia neesiana,张中信,ANUB01697,20170815,浙江,711,路边,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0153694.jpg,,,,,,,,,, +厚皮酒饼簕,Atalantia dasycarpa,W.T.Tsang,26709,1936.8.25-30.,广西,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0001857.jpg,,,,,,,,,, +厚皮酒饼簕,Atalantia dasycarpa,W.T.Tsang,27319,19361118,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0383767.jpg,,,,,,,,,, +厚皮酒饼簕,Atalantia dasycarpa,陈少卿,4990,19440427,广西壮族自治区,530,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0383763.jpg,,,,,,,,,, +中亚滨藜,Atriplex centralasiatica,"何志斌, 杜军, 陈龙飞, 朱喜, 田全彦, 房舒, 赵敏敏",HHZA0274,20170924,陕西,1334,草地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454590.jpg,,,,,,,,,, +,Atriplex centralasiatica,郭永杰,黄文娟等,LiZJ0266,20080731,新疆,2625,路基,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1244276.jpg,,,,,,,,,, +中亚滨藜,Atriplex centralasiatica,T.N.Liou,L.3706,19310908,新疆维吾尔自治区 ,1000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0193860.jpg,,,,,,,,,, +,Atriplex pallida,,,,,,,,,,,,,,,,,,, +密毛桃叶珊瑚,Aucuba himalaica,张志英,18274,1979/4/10,陕西,1400,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0348606.jpg,,,,,,,,,, +长叶珊瑚,Aucuba himalaica,张守君,11-4040,20110110,重庆,1130,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0171569.jpg,,,,,,,,,, +密毛桃叶珊瑚,Aucuba himalaica,李洪均,9140,1958/9/21,湖北,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0309464.jpg,,,,,,,,,, +,Axyris mira,,,,,,,,,,,,,,,,,,, +,Axyris prostrata,尹鑫,吴航,葛文静,LiuJQ-GN-2011-141,20110930,甘肃,3525,亚高山草甸坡地,路边,直立草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1244349.jpg,,,,,,,,,, +,Axyris prostrata,罗成瑜,ALSZY414,20111130,云南,1223,针叶林下边,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1244343.jpg,,,,,,,,,, +平卧轴藜,Axyris prostrata,中普队,663,19790806,四川,4000,海子附近,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM703400023.jpg,,,,,,,,,, +印楝,Azadirachta indica,永胜县普查队,5307220133,20120716,云南省,1589,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0013371.jpg,,,,,,,,,, +,Azadirachta indica,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180534,20181130,Mon State,25m,,Tree,无花无果,https://image.cvh.ac.cn/files/l/KUN/1498521.jpg,,,,,,,,,, +印楝,Azadirachta indica,"刘恩德,邹娇,王存花,郭建伟,李冰玉,陈志坚",LED9496,20200417,云南,613,干旱河谷山坡,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1511831.jpg,,,,,,,,,, +王氏白马芥,Baimashania wangii,王为义,11,19820613,青海省,4100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/103016.jpg,,,,,,,,,, +王氏白马芥,Baimashania wangii,赵儒林,1567,19640606,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0000648.jpg,,,,,,,,,, +粗穗蛇菰,Balanophora dioica,青藏队补点组,751776,19750828,西藏自治区,2600,林下湿地,肉质草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0565813.jpg,,,,,,,,,, +粗穗蛇菰,Balanophora dioica,姚绍嫦、柯芳、韦树根、董青松,451423121114043LY,20121114,广西壮族自治区,,阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0121283.jpg,,,,,,,,,, +,Balanophora dioica,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS14029,20161115,西藏,,山地常绿阔叶林,寄生植物,无花无果,https://image.cvh.ac.cn/files/l/KUN/1441006.jpg,,,,,,,,,, +,Balanophora fargesii,曲桂齡,3245,19360000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801430.jpg,,,,,,,,,, +,Balanophora fargesii,"倪志诚,汪永泽,次多,次旦",854,19800728,西藏自治区,2000,河边杂木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100326.jpg,,,,,,,,,, +川藏蛇菰,Balanophora fargesii,弄岗调查队,20428,19791008,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI022188.jpg,,,,,,,,,, +,Balanophora harlandii,"Farges, P.G.",1389,,,,,,,https://image.cvh.ac.cn/files/l/P/P00756462.jpg,,,,,,,,,, +红冬蛇菰,Balanophora harlandii,To Kang Peng,6272,19201025,广东省,,rocky,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801392.jpg,,,,,,,,,, +葛菌,Balanophora harlandii,朱鑫鑫,王君,王美华,ZXX202317,20201018,湖北,352,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0188356.jpg,,,,,,,,,, +筒鞘蛇菰,Balanophora involucrata,魏来、何毅,BNUXZ2016487,20160730,西藏,3200,山坡林缘,,,https://image.cvh.ac.cn/files/l/BNU/0028129.jpg,,,,,,,,,, +筒鞘蛇菰,Balanophora involucrata,白水江考察队,1671,20060709,甘肃省,1750,山坡林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01358992.jpg,,,,,,,,,, +筒鞘蛇菰,Balanophora involucrata,谭少林,YLDP185D,20140826,云南,,无,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1446991.jpg,,,,,,,,,, +疏花蛇菰,Balanophora laxiflora,Chin-Sung Chang et al.,SI0290,20040714,四川省,2175,road side longchi park,,有花无果,https://image.cvh.ac.cn/files/l/PE/02100358.jpg,,,,,,,,,, +疏花蛇菰,Balanophora laxiflora,"张志松,张永田",8606,19600824,贵州省,1600,山坡密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801567.jpg,,,,,,,,,, +疏花蛇菰,Balanophora laxiflora,"陈学林,王一峰",910938,19910718,甘肃省,1600,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801483.jpg,,,,,,,,,, +多蕊蛇菰,Balanophora polyandra,"张挺, 亚吉东",14CS8912,20140821,海南,,山坡路边,寄生植物,无花无果,https://image.cvh.ac.cn/files/l/KUN/1395419.jpg,,,,,,,,,, +多蕊蛇菰,Balanophora polyandra,,,19791000,武夷山,,,,,https://image.cvh.ac.cn/files/l/FJIDC/FJIDC000040.jpg,,,,,,,,,, +多蕊蛇菰,Balanophora polyandra,,62783,,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0565982.jpg,,,,,,,,,, +杯茎蛇菰,Balanophora subcupularis,九连山林场,781097,,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0383232.jpg,,,,,,,,,, +杯茎蛇菰,Balanophora subcupularis,梁宝汉,83615,19420922,湖南省,670,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0383234.jpg,,,,,,,,,, +杯茎蛇菰,Balanophora subcupularis,洪林,601,19800928,浙江省,400,,密生革本,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ005919.jpg,,,,,,,,,, +羽裂叶山芥,Barbarea intermedia,E.P.Bicknell,4393,19150514,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01003002.jpg,,,,,,,,,, +羽裂叶山芥,Barbarea intermedia,周太炎等,650529,,新疆维吾尔自治区 ,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00169549.jpg,,,,,,,,,, +羽裂叶山芥,Barbarea intermedia,张林、李星月、张晓严,6-317,20180617,西藏,4015,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023676.jpg,,,,,,,,,, +,Barbarea vulgaris,翟伟,徐海燕,SCSB-2006064,20060720,新疆,1687,山谷,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235084.jpg,,,,,,,,,, +欧洲山芥,Barbarea vulgaris,植考队,83-106,19830722,内蒙古自治区,,灌丛化草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/00816170.jpg,,,,,,,,,, +欧洲山芥,Barbarea vulgaris,,2,1959.5.5,河南,500,,,有花无果,https://image.cvh.ac.cn/files/l/HENU/0360852.jpg,,,,,,,,,, +假杜鹃,Barleria cristata,李明熙,,19550500,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/FJFC/FJFC0002145.jpg,,,,,,,,,, +假杜鹃,Barleria cristata,,BJTC036057,,广东,,,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC036057.jpg,,,,,,,,,, +假杜鹃,Barleria cristata,Austin Griffiths,398,19601018,South Carolina,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/233502.jpg,,,,,,,,,, +,Barringtonia acutangula,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180578,20181115,Mon State,,,Tree,无花无果,https://image.cvh.ac.cn/files/l/KUN/1498541.jpg,,,,,,,,,, +,Barringtonia acutangula,C.A.Wenzel,2645,19270527,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01678361.jpg,,,,,,,,,, +红花玉蕊,Barringtonia acutangula,郭惠珠,石玉侠,4329,20190904,福建,,栽植,乔木,有花有果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0009325.jpg,,,,,,,,,, +地肤,Bassia scoparia,张磊,李可,zlnmu2022291,20220819,宁夏,1135,农田荒地,草本,有花无果,https://image.cvh.ac.cn/files/l/NMU/NMU01319.jpg,,,,,,,,,, +清明花,Beaumontia grandiflora,吴望辉、黄俞淞,10423,20100425,广西壮族自治区,200,石灰岩山地阔叶林,灌木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00215966.jpg,,,,,,,,,, +清明花,Beaumontia grandiflora,赵惠如,,19530000,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/136247068.jpg,,,,,,,,,, +清明花,Beaumontia grandiflora,杨龙,97-041,19970521,贵州省,1150,,,有花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0004864.jpg,,,,,,,,,, +,Beccarinda cordifolia,,,,,,,,,,,,,,,,,,, +雏菊,Bellis perennis,何叶祺,3846,1959/7/2,甘肃,1600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0155731.jpg,,,,,,,,,, +雏菊,Bellis perennis,王彩玲 严英 陈瑞雪,津0518,19780512,天津市,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00037261.jpg,,,,,,,,,, +雏菊,Bellis perennis,廖民安,575,19600314,广西壮族自治区,,栽培于坡下平地上,直立多年草本,,https://image.cvh.ac.cn/files/l/IBK/IBK00318490.jpg,,,,,,,,,, +箭药藤,Belostemma hirsutum,A.Henry,12282,,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0517931.jpg,,,,,,,,,, +箭药藤,Belostemma hirsutum,陈 ,760,19790509,四川,1800,,藤本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM716700083.jpg,,,,,,,,,, +,Benkara fasciculata,,,,,,,,,,,,,,,,,,, +岩匙,Berneuxia thibetica,吴中伦,12408,19400830,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00053410.jpg,,,,,,,,,, +岩匙,Berneuxia thibetica,George Forrest,21678,1922,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/AU/AU046095.jpg,,,,,,,,,, +岩匙,Berneuxia thibetica,方震东,WX-73,20041114,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 008082.jpg,,,,,,,,,, +,Bidens alba,R.Cairl,63,19760110,,0,,herb.,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0577462.jpg,,,,,,,,,, +鬼灯笼,Bidens alba,曾宪锋,ZXF28236,20170711,福建省,270,山地、路旁,灌木,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0023788.jpg,,,,,,,,,, +白花鬼针草,Bidens alba,曾宪锋,ZXF11927,20120424,海南省,8,平原,一年生直立草本,,https://image.cvh.ac.cn/files/l/CZH/CZH0017387.jpg,,,,,,,,,, +婆婆针,Bidens bipinnata,海南植物,4257,1959/10/16,海南,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0254608.jpg,,,,,,,,,, +婆婆针,Bidens bipinnata,Y.Tsiang,11723,19330905,云南省 ,1200,in open mixed woods,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00484609.jpg,,,,,,,,,, +婆婆针,Bidens bipinnata,李宏庆等,SDP06418,20110528,上海市,,公园,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0063999.jpg,,,,,,,,,, +金盏银盘,Bidens biternata,杨人俊,79843,19790924,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF005670.jpg,,,,,,,,,, +鬼针草,Bidens biternata,Harry Smith,7699,,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00036116.jpg,,,,,,,,,, +金盏银盘,Bidens biternata,深圳考察队,1425,19970924,广东省,15,,,有花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00044436.jpg,,,,,,,,,, +柳叶鬼针草,Bidens cernua,邓姣姣、卫靜丽、刘常坤,WJL-02-B-015,20200817,四川,3447.53m,河边草地,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02062042.jpg,,,,,,,,,, +柳叶鬼针草,Bidens cernua,杨文胜等,438,19830730,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HIMC/0040136.jpg,,,,,,,,,, +柳叶鬼针草,Bidens cernua,秦志业,10243,19630909,西藏自治区,3600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/27618.jpg,,,,,,,,,, +小花鬼针草,Bidens parviflora,侯晓波,301016,20030824,山西,,,,有花无果,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0009777.jpg,,,,,,,,,, +小花鬼针草,Bidens parviflora,W.Y.Hsia,H.3975,19330831,宁夏回族自治区,1500,ditch side,,有花有果,https://image.cvh.ac.cn/files/l/PE/00673026.jpg,,,,,,,,,, +小花鬼针草,Bidens parviflora,,L.10363,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830303.jpg,,,,,,,,,, +白花鬼针草,Bidens pilosa,S.Suzuki,1916,19160821,台湾省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0577888.jpg,,,,,,,,,, +鬼针草,Bidens pilosa,唐昌林,532,1958/10/7,陕西,490,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0400751.jpg,,,,,,,,,, +三叶鬼针草,Bidens pilosa,曾宪锋,ZXF31678,20170901,广东省,310,山地、路旁,一年生直立草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0027041.jpg,,,,,,,,,, +矮狼杷草,Bidens tripartita,中国科学院植物研究所黄河调查队,7971,19560914,宁夏回族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570549.jpg,,,,,,,,,, +狼杷草,Bidens tripartita,唐宏亮,SHB160729042,20160729,河北,1258米,路旁,,有花无果,https://image.cvh.ac.cn/files/l/HBU/HBU0000340.jpg,,,,,,,,,, +狼杷草,Bidens tripartita,关克俭,2814,1957.8.1,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00044347.jpg,,,,,,,,,, +黑水藤,Biondia insignis,绵地队,168,19780818,四川,2000,,藤本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM716700029.jpg,,,,,,,,,, +黑水藤,Biondia insignis,赵清盛、吕发强,4280,1978-5 7,四川省,2850,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0117662.jpg,,,,,,,,,, +黑水藤,Biondia insignis,赵裕章,20695,19390521,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/307153.jpg,,,,,,,,,, +,Biondia laxa,"Ten, Pater Siméon",404,13-May-20,,,,,,https://image.cvh.ac.cn/files/l/E/E00021297.jpg,,,,,,,,,, +祛风藤(浙江乳实果),Biondia microcentra,,,19720527,浙江省,950,林下,,,https://image.cvh.ac.cn/files/l/ZM/ZMNH0032484.jpg,,,,,,,,,, +祛风藤,Biondia microcentra,邓懋彬、姚淦,80702,19810605,安徽省,350,,草本,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ048236.jpg,,,,,,,,,, +祛风藤,Biondia microcentra,徐永福,200708112,20070801,湖南,,,,,https://image.cvh.ac.cn/files/l/CSFI/CSFI051499.jpg,,,,,,,,,, +,Bistorta affinis,泛喜马拉雅植物志巴基斯坦采集队,FPH-0745,20120624,,3800~4010,"Forest(Picea,Abies,Pinus),Alpine meadow lake",,有花有果,https://image.cvh.ac.cn/files/l/PE/02004783.jpg,,,,,,,,,, +,Bistorta amplexicaulis,李洪钧,1473,19571021,湖北省,2000,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0080970.jpg,,,,,,,,,, +,Bistorta amplexicaulis,俞德浚,14739,19371105,四川省,3100,灌木丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0124984.jpg,,,,,,,,,, +,Bistorta amplexicaulis,蔡希陶,57720,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0123036.jpg,,,,,,,,,, +,Bistorta amplexicaulis subsp. sinensis,,,,,,,,,,,,,,,,,,, +,Bistorta attenuatifolia,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",40630,20090716,西藏自治区,3330,ravine with dwarf Quercus and mixed shrubs on steep rocky slopes shaded rocky slope in moist soil,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044398.jpg,,,,,,,,,, +,Bistorta attenuatifolia,D.E.Boufford et al.,35533,20060731,四川省,3010,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01579916.jpg,,,,,,,,,, +,Bistorta coriacea,,,,,,,,,,,,,,,,,,, +,Bistorta emodi,F.Miyamoto et al.,9580118,19950726,,1960~2710,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898797.jpg,,,,,,,,,, +,Bistorta emodi var. dependens,,,,,,,,,,,,,,,,,,, +,Bistorta griffithii,,,,,,,,,,,,,,,,,,, +,Bistorta longispicata,D.E.Boufford et al.,33891,20050731,四川省,3920,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01579917.jpg,,,,,,,,,, +,Bistorta longispicata,张永田,郎楷永,2657,19650905,西藏自治区,4300,山坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0422544.jpg,,,,,,,,,, +,Bistorta ludlowii,孙航,周浙昆等,624,19921025,西藏自治区,3300,in forest,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0421326.jpg,,,,,,,,,, +,Bistorta macrophylla,"D.E.Boufford,L.Y.Chen,J.L.Dong etc.",42218,20100724,四川省,4560,glaciated boulder strewn barren with open meadows depressions of coarse sand and dwarf thickets in meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044309.jpg,,,,,,,,,, +,Bistorta macrophylla,"D.E.Boufford,B.Bartholomew,D.A.Eaton etc.",41793,20090803,西藏自治区,4030~4100,in meadow in dense hard packed and soft soil,,有花有果,https://image.cvh.ac.cn/files/l/PE/02044306.jpg,,,,,,,,,, +,Bistorta macrophylla,吴中伦,32533,19580630,四川,4000,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00007397.jpg,,,,,,,,,, +,Bistorta macrophylla var. stenophylla,"S. Akiyama,H. Ikeda,武素功,吕元林,陈绍田,向建英,Yang Zhen",106315,20010822,西藏自治区,4020,On grazed grassland,,,https://image.cvh.ac.cn/files/l/KUN/1295249.jpg,,,,,,,,,, +,Bistorta milletii,联大,21517,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0123056.jpg,,,,,,,,,, +,Bistorta officinalis,刘启新等,319,20080428,江苏省,200,山坡,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00568547.jpg,,,,,,,,,, +,Bistorta paleacea,D.E.Boufford etc.,41002A,20090724,西藏自治区,3535,Grassy areas in thin shade on slope under Betula and in open,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255661.jpg,,,,,,,,,, +,Bistorta perpusilla,,,,,,,,,,,,,,,,,,, +,Bistorta sherei,冯国楣,5281,19400710,云南省,4000,岩壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0421362.jpg,,,,,,,,,, +,Bistorta sinomontana,,,,,,,,,,,,,,,,,,, +,Bistorta suffulta,W.Y.Hsia etc.,118,19370502,陕西省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0421351.jpg,,,,,,,,,, +,Bistorta suffulta,川经宜,976,19590609,四川省,1700,中山,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0123065.jpg,,,,,,,,,, +,Bistorta suffulta,Y.Uyama H.Yamaji et N.Sasamoto,980073,1998-04-,,200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0152056.jpg,,,,,,,,,, +,Bistorta suffulta subsp. pergracilis,俞绍文,22610,19590806,云南省,3250,草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0123064.jpg,,,,,,,,,, +,Bistorta suffulta subsp. pergracilis,青藏补点组,750122,19750601,西藏自治区,2820,林下湿地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0123066.jpg,,,,,,,,,, +,Bistorta suffulta subsp. pergracilis,川经宜,976,19590609,四川省,1700,中山,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0123065.jpg,,,,,,,,,, +,Bistorta tenuifolia,,,,,,,,,,,,,,,,,,, +,Bistorta tubistipulis,D.E.Boufford et al.,42216,20100724,四川省,4560,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026671.jpg,,,,,,,,,, +,Bistorta tubistipulis,D.E.Boufford et al.,41146,20090725,西藏自治区,4540~4650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026670.jpg,,,,,,,,,, +,Bistorta vacciniifolia,,,,,,,,,,,,,,,,,,, +,Bistorta vivipara,D.E.Boufford et al.,41144,20090725,西藏自治区,4520~4650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900790.jpg,,,,,,,,,, +珠芽拳蓼,Bistorta vivipara,延边一组,58,19590807,吉林,,天池外壁石砾荒原,,无花有果,https://image.cvh.ac.cn/files/l/JLSLKY/JLSLKY02734.jpg,,,,,,,,,, +,Bistorta vivipara,D.E.Boufford et al.,42002,20090808,云南省,4280~4600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900802.jpg,,,,,,,,,, +,Blitum litwinowii,,,,,,,,,,,,,,,,,,, +馥芳艾纳香,Blumea aromatica,Hiroshige Koyama etc,33260,19830908,,1510~2190,Rocky ridge,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0046033.jpg,,,,,,,,,, +馥芳艾纳香,Blumea aromatica,C.W.Wang,79570,1936/10/,云南,840,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0041340.jpg,,,,,,,,,, +馥芳艾纳香,Blumea aromatica,林茂祥,IMPCLMX007B01,20181213,重庆,928,亚热带暖性常绿阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551596.jpg,,,,,,,,,, +艾纳香,Blumea balsamifera,刘博,20120699,20120622,广西省,,,多年生草本或亚灌木,无花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00028525.jpg,,,,,,,,,, +艾纳香,Blumea balsamifera,唐国旺、李紫默,TangGW1083,20210306,海南,638,热带季风阔叶林山地,半灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1558028.jpg,,,,,,,,,, +艾纳香,Blumea balsamifera,詹选怀、彭焱松等,LXP7938,20170817,江西,296,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/LBG00136474.jpg,,,,,,,,,, +薄叶密花艾纳香,Blumea densiflora,李鸣冈,1988,19400330,云南省 ,0~1900,,permial herb.,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0578334.jpg,,,,,,,,,, +薄叶密花艾纳香,Blumea densiflora,毛品一,3413,19540313,云南省,0~1500,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0578332.jpg,,,,,,,,,, +密花艾纳香,Blumea densiflora,李永亮,LiYL1515,20160301,云南,2000,南亚热带常绿阔叶林干沟,半灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1437655.jpg,,,,,,,,,, +节节红,Blumea fistulosa,,14837,1976-8 2,四川省,600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0143453.jpg,,,,,,,,,, +节节红,Blumea fistulosa,王明川,5.22E+15,20131107,贵州,,疏林中(下),草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0003734.jpg,,,,,,,,,, +节节红,Blumea fistulosa,富宁普查队,5326281603100758LY,20160310,云南省,437.1,,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0041366.jpg,,,,,,,,,, +,Blumea flava,刘恩德,方伟,王泽欢,陈丽,2340,20100105,云南省,1300,"under forest, path side",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255016.jpg,,,,,,,,,, +,Blumea flava,"Cavalerie, J.",2725,5-Nov,,,,,,https://image.cvh.ac.cn/files/l/E/E00413687.jpg,,,,,,,,,, +拟艾纳香,Blumea flava,宋鼎;刘敏;魏定名;杨龙斌;李双斌;张桥蓉,CN030,20190217,云南,1244,江边松林中,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1550842.jpg,,,,,,,,,, +台北艾纳香,Blumea formosana,陈功锡,张代贵等,LXP-06-6128,20150921,湖南省,181,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU10405.jpg,,,,,,,,,, +台湾艾纳香,Blumea formosana,张义长,522224161104015LY,20161104,贵州省,684.5,灌丛,中生,耐阴,沙土,中温,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0055323.jpg,,,,,,,,,, +台北艾纳香,Blumea formosana,邹春玉、李健玲、刘文剑、宋晓飞、赵佳越、陆秋艳,GPS180726019,20180726,广西,~,山地,密林,黄壤;普遍,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00434160.jpg,,,,,,,,,, +,Blumea hamiltonii,,,,,,,,,,,,,,,,,,, +,Blumea hieraciifolia,Exp. Mingxi,5338,20051104,福建省,720,山坡草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00620670.jpg,,,,,,,,,, +毛毡草,Blumea hieraciifolia,吕惠珍、林杨、莫连兰、班宝珍,451023150327001LY,20150327,广西,269,草丛,阳坡,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0180113.jpg,,,,,,,,,, +,Blumea hieraciifolia,Ming-Jer Jung,4665,20091118,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01894642.jpg,,,,,,,,,, +见霜黄,Blumea lacera,贵州队,327,19600329,贵州省,180,,草本,无花无果,https://image.cvh.ac.cn/files/l/HGAS/028342.jpg,,,,,,,,,, +见霜黄,Blumea lacera,t.tanaka an y.shimada,,19320621,台湾省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/280158004.jpg,,,,,,,,,, +见霜黄,Blumea lacera,曾宪锋,ZXF35197,20170517,福建,125,山地、路旁,一年生直立草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0030478.jpg,,,,,,,,,, +千头艾纳香,Blumea lanceolaria,胡建湘,C420063,20110311,云南省,570,土著植物就地保护区,草本,,https://image.cvh.ac.cn/files/l/HITBC/0023034.jpg,,,,,,,,,, +千头艾纳香,Blumea lanceolaria,Noriaki Fukuyama,4948,19341200,台湾省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00485093.jpg,,,,,,,,,, +千头艾纳香,Blumea lanceolaria,萧百中,3902,20041012,湖南省,700,山沟花岗岩山地黄壤,,有花有果,https://image.cvh.ac.cn/files/l/PE/01564300.jpg,,,,,,,,,, +长柄艾纳香,Blumea membranacea,刘慎谔,15854,19460413,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0046352.jpg,,,,,,,,,, +长柄艾纳香,Blumea membranacea,刘心祈,25904,19340328,海南,,斜坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/SN/SN004872.jpg,,,,,,,,,, +长柄艾纳香,Blumea membranacea,侯宽昭,70191,19330224,海南省 ,1800,山上草地,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00485235.jpg,,,,,,,,,, +高艾纳香,Blumea repanda,H.T.Tsai,56814,19340206,云南省,1750,on road side,,有花有果,https://image.cvh.ac.cn/files/l/PE/00569514.jpg,,,,,,,,,, +高艾纳香,Blumea repanda,陈介,805,19581213,云南省 ,1700~2000,山箐疏林,草本直立,有花无果,https://image.cvh.ac.cn/files/l/KUN/0046447.jpg,,,,,,,,,, +高艾纳香,Blumea repanda,吕惠珍、潘春柳、岑海锋,451026130318022LY,20130318,广西壮族自治区,1094,灌丛,林缘,石灰土,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0115695.jpg,,,,,,,,,, +大头艾纳香,Blumea riparia,曾宪锋,ZXF34238,20171029,广东省,740,山地、疏林,草质藤本,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0029519.jpg,,,,,,,,,, +,Blumea riparia,K.K.TSOONG,0,19211015,浙江,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0060362.jpg,,,,,,,,,, +,Blumea riparia,刘瑛,901,19481004,湖南省,,林下.among thicket,,有花有果,https://image.cvh.ac.cn/files/l/PE/00569525.jpg,,,,,,,,,, +,Blumea sinuata,S.Y.Hu & Paul But,23822,20010324,香港,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00569666.jpg,,,,,,,,,, +六耳玲,Blumea sinuata,F.A.McClure,9174,19220419,广东省,0,,herb.,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0578965.jpg,,,,,,,,,, +,Blumea sinuata,Shiu Ying Hu,Y015,19990506,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00569667.jpg,,,,,,,,,, +,Boeica arunachalensis,,,,,,,,,,,,,,,,,,, +,Boeica clarkei,,,,,,,,,,,,,,,,,,, +,Boeica filiformis,,,,,,,,,,,,,,,,,,, +,Boeica fulva,,,,,,,,,,,,,,,,,,, +臭节草,Boenninghausenia albiflora,"税玉民, 陈文红",66599,20081009,云南,2156,石灰岩山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1444356.jpg,,,,,,,,,, +臭节草,Boenninghausenia albiflora,F.A. McClure,147,25-Sep,"Luzon, Benguet Provi",,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00043277.jpg,,,,,,,,,, +臭节草,Boenninghausenia albiflora,钟鑫、曲上、黄姝博,ZX02406,20180412,浙江,796.27,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0155850.jpg,,,,,,,,,, +黄细心,Boerhavia diffusa,侯学良,92007,20180814,广东,43,草丛,,有花有果,https://image.cvh.ac.cn/files/l/AU/AU067358.jpg,,,,,,,,,, +黄细心,Boerhavia diffusa,东兴市普查队,450681180508060LY,20180508,广西,3,灌丛,林下,少野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00417929.jpg,,,,,,,,,, +黄细心,Boerhavia diffusa,"Fung,H.",20322,19320801,海南省,,On roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/00917563.jpg,,,,,,,,,, +木棉,Bombax ceiba,环江县普查队,451226130423006LY,20130423,广西,285,阔叶林,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0112615.jpg,,,,,,,,,, +,Bombax ceiba,"黄俞淞,黄金全",Y2554,20131004,广西壮族自治区,115,亚热带常绿阔叶林林缘,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1310339.jpg,,,,,,,,,, +,Bombax ceiba,K.M.Matthew,26837,19800225,,1500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01275534.jpg,,,,,,,,,, +,Bonnaya ruelloides,,,,,,,,,,,,,,,,,,, +,Bosea amherstiana,,,,,,,,,,,,,,,,,,, +柔弱斑种草,Bothriospermum zeylanicum,周义峰,熊豫宁,顾子霞等,太湖2019111,20190425,江苏省,6,路边,一年生草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00627895.jpg,,,,,,,,,, +柔弱斑种草,Bothriospermum zeylanicum,曾宪锋,ZXF25532,20170520,江西省,248,丘陵、路旁,一年生披散草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0021237.jpg,,,,,,,,,, +柔弱斑种草,Bothriospermum zeylanicum,杨燕,201814473,20180424,贵州省,519,草丛,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0024153.jpg,,,,,,,,,, +光叶子花,Bougainvillea glabra,普查队,14,19780821,四川,7700,屋侧路旁,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM703600022.jpg,,,,,,,,,, +,Bougainvillea glabra,徐洪贵,2520,19950618,四川省,700,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230848.jpg,,,,,,,,,, +光叶子花,Bougainvillea glabra,陈焕镛,5064,,香港,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0205355.jpg,,,,,,,,,, +,Bougainvillea spectabilis,H.H.Chung,357,19221017,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01658386.jpg,,,,,,,,,, +叶子花,Bougainvillea spectabilis,罗达尚,214,19630821,山西省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/112114.jpg,,,,,,,,,, +,Bougainvillea spectabilis,标本室,1013,19560510,北京市,,温室,,有花无果,https://image.cvh.ac.cn/files/l/PE/00917589.jpg,,,,,,,,,, +短瓣花,Brachystemma calycinum,联大,661,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0511491.jpg,,,,,,,,,, +短瓣花,Brachystemma calycinum,红水河植物考察队,89-30,19890417,广西壮族自治区,600,林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01986163.jpg,,,,,,,,,, +短瓣花,Brachystemma calycinum,"张志松,张永田",614,19600315,贵州省,300,山坡水田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574442.jpg,,,,,,,,,, +疏毛短萼齿木,Brachytome hirtellata var. glabrescens,孙航等,1298,19921214,西藏自治区,1400,in forest,,有果无花,https://image.cvh.ac.cn/files/l/KUN/738621.jpg,,,,,,,,,, +疏毛短萼齿木,Brachytome hirtellata var. glabrescens,吴征镒,63,19641207,永福,1600~1550,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/314110.jpg,,,,,,,,,, +疏毛短萼齿木,Brachytome hirtellata var. glabrescens,H.T.Tsai,61250,,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00247338.jpg,,,,,,,,,, +,Brachytome wallichii,黄全,719,19580419,云南,1620,山坡卷柏灌木林中,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00035467.jpg,,,,,,,,,, +,Brachytome wallichii,刘心沂,25772,19360319,海南省,,斜坡向西 中等土 野生密林中 密荫干燥,,有花有果,https://image.cvh.ac.cn/files/l/PE/00635115.jpg,,,,,,,,,, +短萼齿木,Brachytome wallichii,元江县普查队,5304280516,20120605,云南省,1780,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0016510.jpg,,,,,,,,,, +总花来江藤,Brandisia racemosa,K.M.Feng,11412,1947/8/24,云南省,1400,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0202837.jpg,,,,,,,,,, +总花来江藤,Brandisia racemosa,蔡杰,亚吉东,韩孟奇,20CS19155,20200805,云南,1967,落水洞村石壁,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1506231.jpg,,,,,,,,,, +总花来江藤,Brandisia racemosa,94—1班,1119061,19951119,湖南省,420,灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU16524.jpg,,,,,,,,,, +黄花来江藤,Brandisia rosea var. flava,王汉臣,2488,19420705,云南省,0,,木本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0555590.jpg,,,,,,,,,, +黄花红花来江藤,Brandisia rosea var. flava,青藏队,73-929,19730729,西藏自治区,2400,山坡乱石堆,,有花无果,https://image.cvh.ac.cn/files/l/PE/01373348.jpg,,,,,,,,,, +,Brassaiopsis liana,,,,,,,,,,,,,,,,,,, +,Brassica chinensis var. oleifera,,2086,19590413,浙江省,0,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0495607.jpg,,,,,,,,,, +,Brassica chinensis var. oleifera,俞德浚,62,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0495557.jpg,,,,,,,,,, +,Brassica chinensis var. oleifera,鲁艳,2008015,20080212,云南,1500,小麦地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235097.jpg,,,,,,,,,, +,Brassica juncea,"张洪军, 许惠军",ZHANG2016HC073,20160624,甘肃,1801,温带灌木、半灌木荒漠植被,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1458217.jpg,,,,,,,,,, +芥菜,Brassica juncea,生态室,s.n.,1965,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995650.jpg,,,,,,,,,, +荠菜,Brassica juncea,刘林翰,20362,20040611,湖南,,山谷、溪水边、密林,阴闭度70%,湿润,直立草本,有花无果,https://image.cvh.ac.cn/files/l/HNNU/HNNU00063163.jpg,,,,,,,,,, +油菜,Brassica napus,实习队,2096,19640505,湖南,,山谷、疏林、路边,直立草本,有花有果,https://image.cvh.ac.cn/files/l/HNNU/HNNU00064062.jpg,,,,,,,,,, +欧洲油菜(胜利油菜),Brassica napus,谭策铭,李秀枝,1603063,20160320,江西,60,院内逸生,一年或两年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00043003.jpg,,,,,,,,,, +欧洲油菜,Brassica napus,刘正宇、张军等,RQHZ4951-02,20170819,四川,3182,荒地逸生,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0084600.jpg,,,,,,,,,, +芸苔,Brassica rapa,曾宪锋,ZXF45641,20190324,浙江,7,农田,二年生草本,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0040802.jpg,,,,,,,,,, +芜菁,Brassica rapa,张志英,6656,19590714,甘肃省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00325638.jpg,,,,,,,,,, +小白菜,Brassica rapa,巴南队,500113150330-050LY01,20150330,重庆市,281,栽培,草本,有花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0074575.jpg,,,,,,,,,, +白菜,Brassica rapa var. glabra,朱鑫鑫;林庶;徐坤;吕擎,ZXX19057,20190315,河南,66,亚热带,农田,二年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1481487.jpg,,,,,,,,,, +大白菜(黄芽白),Brassica rapa var. glabra,蔡如意,1903184,20190326,江西,60,北院菜圃栽培,二年生草本,有花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00043014.jpg,,,,,,,,,, +白菜,Brassica rapa var. glabra,曾春晓、朱文菊,12047,20030226,广东省,30,田野,,,https://image.cvh.ac.cn/files/l/SZG/SZG00028827.jpg,,,,,,,,,, +,Brassica rapa var. oleifera,,5066,20050413,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00569639.jpg,,,,,,,,,, +长角果,Brassica rapa var. oleifera,郑,余,,19820611,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/SXU/SD00014007.jpg,,,,,,,,,, +芸苔,Brassica rapa var. oleifera,李宏庆等,SDP28873,20120520,上海市,,路边,,无花有果,https://image.cvh.ac.cn/files/l/CSH/0021074.jpg,,,,,,,,,, +,Braya fengii,,,,,,,,,,,,,,,,,,, +,Braya humilis,阳文静,7,20060611,内蒙古自治区,,沟谷 山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995672.jpg,,,,,,,,,, +,Braya humilis,T.Tang,851,19290000,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01122031.jpg,,,,,,,,,, +,Braya humilis,吴玉虎等,4940,19900727,青海省,2450,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995885.jpg,,,,,,,,,, +,Braya parvia,PE西藏考察队,7700,20180623,西藏自治区,4438,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332754.jpg,,,,,,,,,, +羊蹄,Braya parvia,赵凯涛,20130630011,20130630,福建,,,,无花有果,https://image.cvh.ac.cn/files/l/AU/AU074107.jpg,,,,,,,,,, +羊蹄,Braya parvia,陈恒彬,s.n.,19880506,福建省,10,堤岸,草本,无花有果,https://image.cvh.ac.cn/files/l/FJSI/FJSI028907.jpg,,,,,,,,,, +红花肉叶荠,Braya rosea,李渤生,10258,19870626,新疆维吾尔自治区,3800,高山草原中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00816831.jpg,,,,,,,,,, +红花肉叶荠,Braya rosea,汪发缵,21203,19300605,四川省,4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0495764.jpg,,,,,,,,,, +红花肉叶荠,Braya rosea,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20681,20200626,西藏,4621,流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509682.jpg,,,,,,,,,, +长角肉叶荠,Braya siliquosa,杨永昌,1205,1965/7/19,青海省,4400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0261012.jpg,,,,,,,,,, +长角肉叶荠,Braya siliquosa,生物研究所西藏考察队,3592,19740709,西藏自治区,5300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/40979.jpg,,,,,,,,,, +长角肉叶荠,Braya siliquosa,杨永昌,1205,19650719,青海,4400,山麓草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0261012.jpg,,,,,,,,,, +条叶肉叶荠,Braya tibetica,刘全儒,ALT.426,20140801,新疆,4533,荒漠,草,,https://image.cvh.ac.cn/files/l/BNU/0028561.jpg,,,,,,,,,, +西藏肉叶荠,Braya tibetica,"郭柯,郑度",12413,19880813,新疆维吾尔自治区,5100,冰川附近碎石滩,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998173.jpg,,,,,,,,,, +西藏柏蕾芥,Braya tibetica,王辰,,20110623,西藏,,草甸,,,https://image.cvh.ac.cn/files/l/BNU/0010996.jpg,,,,,,,,,, +鸦胆子,Brucea javanica,叶华谷,8311,20030413,澳门,50,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0393314.jpg,,,,,,,,,, +鸦胆子,Brucea javanica,广西调查队,562,19550625,广西壮族自治区,350,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998675.jpg,,,,,,,,,, +鸦胆子,Brucea javanica,Chen,701019,20000701,湖南省,,山野,小乔木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU21136.jpg,,,,,,,,,, +柔毛鸦胆子,Brucea mollis,覃海宁等,1109,19980423,广西壮族自治区,800,山坡 石山,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998671.jpg,,,,,,,,,, +柔毛鸦胆子,Brucea mollis,王启无,78912,19361000,云南省 ,750,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0393345.jpg,,,,,,,,,, +柔毛鸦胆子,Brucea mollis,刘建生、顾哲明,海87022,19870505,海南,,,,有花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0004344.jpg,,,,,,,,,, +,Bruinsmia polysperma,,,,,,,,,,,,,,,,,,, +长果报春,Bryocarpum himalaicum,郭永杰,陶以军,李松强,20CS19246,20200506,西藏,3541,林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489141.jpg,,,,,,,,,, +长果报春,Bryocarpum himalaicum,K.Yao,1909,19290731,西藏自治区,3180,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00042692.jpg,,,,,,,,,, +长果报春,Bryocarpum himalaicum,B.Bartholomew,1555,19840505,,3350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01694782.jpg,,,,,,,,,, +白芨梢,Buddleja alternifolia,任宪威,790141,19790500,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00016862.jpg,,,,,,,,,, +互叶醉鱼草,Buddleja alternifolia,刀志灵;蔡磊;杨静;张品;杨佳俊;姚刚,KIBDZL038B05,20171002,西藏,3131,干暖河谷巨柏林,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1561225.jpg,,,,,,,,,, +,Buddleja alternifolia,"Legendre, A.F.",1036,6-Jun-11,,,,,,https://image.cvh.ac.cn/files/l/E/E00327297.jpg,,,,,,,,,, +白背枫,Buddleja asiatica,方震东、和光,XZ-302,20070925,西藏自治区,2517,高山栎林,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002397.jpg,,,,,,,,,, +驳骨丹,Buddleja asiatica,黄汉东,万丹,135,20160720,湖北,1950,,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0174007.jpg,,,,,,,,,, +白背枫,Buddleja asiatica,,539,19430502,台湾省,,,,有花有果,https://image.cvh.ac.cn/files/l/SHM/SHM0001915.jpg,,,,,,,,,, +,Buddleja candida,青藏队,74-4079,19740805,西藏自治区,2050,山坡阔叶林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00112252.jpg,,,,,,,,,, +密香醉鱼草,Buddleja candida,张寿洲、陈真传 等人,14627,20050316,云南省 ,1560,山沟林下,,,https://image.cvh.ac.cn/files/l/SZG/SZG00070118.jpg,,,,,,,,,, +喜马拉雅醉鱼草,Buddleja candida,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2608,20090924,西藏,2470,灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1436881.jpg,,,,,,,,,, +大花醉鱼草,Buddleja colvilei,侯元同,郭成勇,2015111207-3,20151123,重庆,1145,路边山坡,灌木,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0043385.jpg,,,,,,,,,, +,Buddleja colvilei,T.T.Yu,20946,19381103,云南省,2800,side of mt.stream open rocky place,,无花有果,https://image.cvh.ac.cn/files/l/PE/01132417.jpg,,,,,,,,,, +,Buddleja colvilei,"S Noshiro,S Akiyama & N Acharya",9263254,19920626,,2720,in rhododendron forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101936.jpg,,,,,,,,,, +,Buddleja crispa,王海峰、肖雅军、唐伟岚,JZG0527,20181003,四川,1986,,灌木,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0272544.jpg,,,,,,,,,, +皱叶醉鱼草,Buddleja crispa,,,19630000,云南,,,,,https://image.cvh.ac.cn/files/l/BJFC/00016879.jpg,,,,,,,,,, +包茎醉鱼草,Buddleja crispa,185,1038,19590429,甘肃省,1000,山沟旁边,灌木,无花有果,https://image.cvh.ac.cn/files/l/LBG/00076918.jpg,,,,,,,,,, +,Buddleja davidii,C.Pei,7305,19391000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00078624.jpg,,,,,,,,,, +大叶醉鱼草,Buddleja davidii,陈彦生、吴振海、黎斌、郭晓思等,3316,2005/9/14,重庆市,1700,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0495337.jpg,,,,,,,,,, +大叶醉鱼草,Buddleja davidii,赵福,447,19531030,河北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0468990.jpg,,,,,,,,,, +,Buddleja delavayi,"Forrest, George",6796,10-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00327244.jpg,,,,,,,,,, +腺叶醉鱼草,Buddleja delavayi,刀志灵;蔡磊;杨静;张品;杨佳俊;姚刚;葛佳,KIBDZL056,20171022,云南,2291,润楠、槭树半常绿阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1562164.jpg,,,,,,,,,, +,Buddleja delavayi,"李渤生,程树志",2419,19830102,西藏自治区,,雅江边阴坡干旱丛林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495954.jpg,,,,,,,,,, +滇川醉鱼草,Buddleja forrestii,伍凯、郝加琛,YN040-1,20130808,云南省,2800,路边,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0026859.jpg,,,,,,,,,, +滇川醉鱼草,Buddleja forrestii,王金敖,291,1964-9 1,四川省,1100,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0115025.jpg,,,,,,,,,, +,Buddleja forrestii,"Henry, Augustine",9025A,,,,,,,https://image.cvh.ac.cn/files/l/E/E00327301.jpg,,,,,,,,,, +不丹醉鱼草,Buddleja griffithii,F.T.Wang,21829,19300700,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00078635.jpg,,,,,,,,,, +,Buddleja macrostachya,冯国楣,21128,19551119,云南省,2600,溪旁路旁灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01647561.jpg,,,,,,,,,, +大序醉鱼草,Buddleja macrostachya,M. K. Li,75,1939/9/20,云 南,1950,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0244584.jpg,,,,,,,,,, +,Buddleja macrostachya,李光照,15094,19970726,广西壮族自治区,800,山坡少见散生,,有花有果,https://image.cvh.ac.cn/files/l/PE/01324644.jpg,,,,,,,,,, +多花醉鱼草,Buddleja myriantha,Peng Hua et al,8128A,20080726,云南,2900,"in thickets, streamside",shrub,有花无果,https://image.cvh.ac.cn/files/l/KUN/1511203.jpg,,,,,,,,,, +,Buddleja myriantha,王乾、顾健,SCW1187,20190812,四川,3187,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0266860.jpg,,,,,,,,,, +酒药花醉鱼草,Buddleja myriantha,海南队,906,1957/9/4,海南省,150,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0254998.jpg,,,,,,,,,, +密蒙花,Buddleja officinalis,冯正波 ,108,20000917,云南省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/008175.jpg,,,,,,,,,, +密蒙花,Buddleja officinalis,邓朝义,DengCY019,20130929,贵州,1180,林缘,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1554477.jpg,,,,,,,,,, +密蒙花,Buddleja officinalis,叶国栋,838,19780518,福建省,,栽培,灌木,有花无果,https://image.cvh.ac.cn/files/l/FJSI/FJSI021535.jpg,,,,,,,,,, +喉药醉鱼草,Buddleja paniculata,郝云庆,BX-61,20141010,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0041657.jpg,,,,,,,,,, +喉药醉鱼草,Buddleja paniculata,C.T.Lee,1900,19540325,湖南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0469712.jpg,,,,,,,,,, +喉药醉鱼草,Buddleja paniculata,黄升,DS8324,20150124,广西壮族自治区,410,,灌木,有花无果,https://image.cvh.ac.cn/files/l/XBGH/009507.jpg,,,,,,,,,, +,Buddleja × griffithii,,,,,,,,,,,,,,,,,,, +翅果柴胡,Bupleurum alatum,西藏中草药普查队,1770,19720904,西藏自治区,3900,山麓,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01432305.jpg,,,,,,,,,, +翅果柴胡,Bupleurum alatum,魏来、何毅,BNUXZ2016111,20150717,西藏,3850,山坡灌草丛,,,https://image.cvh.ac.cn/files/l/BNU/0028088.jpg,,,,,,,,,, +线叶柴胡,Bupleurum angustissimum,郭先林、李子宣,2040560,20200716,四川,4922,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02040560.jpg,,,,,,,,,, +线叶柴胡,Bupleurum angustissimum,刘英俊、杨筑筑、刘宏达,王正文0284,20150802,内蒙古自治区呼伦贝尔市,578,典型草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0235368.jpg,,,,,,,,,, +线叶柴胡,Bupleurum angustissimum,杜桂娟、马凤江、杨姝等,HLD-P006-10,20150824,辽宁省葫芦岛市,43.3,山地,阳坡,,有花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF008372.jpg,,,,,,,,,, +紫花阔叶柴胡,Bupleurum boissieuanum,中美联合鄂西植物考察队,1213,,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00041359.jpg,,,,,,,,,, +紫花阔叶柴胡,Bupleurum boissieuanum,陕西省秦考队,279,19600711,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH010894.jpg,,,,,,,,,, +,Bupleurum boissieuanum,代天伦,102987,1958/9/22,重庆市,1250,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0243922.jpg,,,,,,,,,, +柴首,Bupleurum chaishoui,张大骏,蓝永祥,,19761008,四川省,2700,向阳坡上矮灌丛间,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00064803.jpg,,,,,,,,,, +,Bupleurum chaishoui,王乾、顾健,SCW1013,20190816,四川,2547,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0265738.jpg,,,,,,,,,, +,Bupleurum commelynoideum var. commelynoideum,,,,,,,,,,,,,,,,,,, +簇生柴胡,Bupleurum condensatum,吴玉虎等,6125,19900807,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/161139.jpg,,,,,,,,,, +簇生柴胡,Bupleurum condensatum,甘南草原调查队,119,19640628,甘肃,~,沼泽,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092061.jpg,,,,,,,,,, +簇生柴胡,Bupleurum condensatum,山诺会,,19980812,青海,3500,,,,https://image.cvh.ac.cn/files/l/BJFC/00013853.jpg,,,,,,,,,, +密花柴胡,Bupleurum densiflorum,何俊,刘珉璐,陶至彬,1297,20130730,甘肃,,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1459821.jpg,,,,,,,,,, +密花柴胡,Bupleurum densiflorum,不祥,74,19670727,青海省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/23823.jpg,,,,,,,,,, +密花柴胡,Bupleurum densiflorum,刘尚武,454,1965/8/19,青海,4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0260843.jpg,,,,,,,,,, +,Bupleurum hamiltonii var. hamiltonii,,,,,,,,,,,,,,,,,,, +矮小柴胡,Bupleurum hamiltonii var. humile,四川植被队,14616,1976-8 2,四川省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0101570.jpg,,,,,,,,,, +矮小柴胡,Bupleurum hamiltonii var. humile,张桥蓉,蒋婷,王昆仑,ZhangYH096,20190915,云南,2418,石质山坡上,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489843.jpg,,,,,,,,,, +矮小柴胡,Bupleurum hamiltonii var. humile,潘泽惠、刘心恬,86006,1986-9 6,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093468.jpg,,,,,,,,,, +空心柴胡,Bupleurum longicaule var. franchetii,刘慧娟,80504003,20080504,湖南省,,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU15399.jpg,,,,,,,,,, +空心柴胡,Bupleurum longicaule var. franchetii,,11298,,四川,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715000908.jpg,,,,,,,,,, +空心柴胡,Bupleurum longicaule var. franchetii,孙航等,578,19841126,云南省,2000,in hill,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0460887.jpg,,,,,,,,,, +,Bupleurum longicaule var. longicaule,,,,,,,,,,,,,,,,,,, +坚挺柴胡,Bupleurum longicaule var. strictum,青藏队植被组,9646,19760820,西藏自治区,3800,山坡 草地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01491056.jpg,,,,,,,,,, +坚挺柴胡,Bupleurum longicaule var. strictum,吴金清,马小业,6198,20050916,湖北,,山林下,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0181606.jpg,,,,,,,,,, +坚挺柴胡,Bupleurum longicaule var. strictum,杨光辉,59301,19580825,四川省,1900~2000,草坡,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00024149.jpg,,,,,,,,,, +,Bupleurum malconense,刘慎谔,等,8688,,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00017626.jpg,,,,,,,,,, +,Bupleurum malconense,吴鹏程,,19590700,吉林省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00017625.jpg,,,,,,,,,, +,Bupleurum malconense,四川省植被调查队,2971,19730720,四川省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00045135.jpg,,,,,,,,,, +,Bupleurum marginatum var. marginatum,,,,,,,,,,,,,,,,,,, +马尾柴胡,Bupleurum microcephalum,陈彦生、吴振海、黎斌、孙建钊等,4102,2006/7/24,陕西省,1400,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0502607.jpg,,,,,,,,,, +马尾柴胡,Bupleurum microcephalum,,,19630818,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075358.jpg,,,,,,,,,, +,Bupleurum microcephalum,"Soulié, J.A.",701,1893,,,,,,https://image.cvh.ac.cn/files/l/P/P00752920.jpg,,,,,,,,,, +,Bupleurum petiolulatum var. petiolulatum,,,,,,,,,,,,,,,,,,, +短茎柴胡,Bupleurum pusillum,陈晓澄、肖洒,7764,20150804,青海,4096,裸岩灌丛、草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00024625.jpg,,,,,,,,,, +短茎柴胡,Bupleurum pusillum,新疆综合考察队,9442,19590605,新疆维吾尔自治区,3400,阳山,,无花无果,https://image.cvh.ac.cn/files/l/PE/00617890.jpg,,,,,,,,,, +短茎柴胡,Bupleurum pusillum,植被地理组,1185,19880825,青海省,3220,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/151734.jpg,,,,,,,,,, +丽江柴胡,Bupleurum rockii,李永江等,1001,Oct-86,四川省,2900,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093510.jpg,,,,,,,,,, +丽江柴胡,Bupleurum rockii,罗建、汪书丽,LIUJQ225,20110922,西藏自治区,0~3967,温带针叶林,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280306.jpg,,,,,,,,,, +丽江柴胡,Bupleurum rockii,王四海,张仲富,成梅,Wangsh-07ZX-067,20160811,云南,1900,原始林地,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1436114.jpg,,,,,,,,,, +小叶黑柴胡,Bupleurum smithii var. parvifolium,庄平等,2004110,20040802,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/004543.jpg,,,,,,,,,, +小叶黑柴胡,Bupleurum smithii var. parvifolium,Ikeda,714038,20070813,甘肃,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00024690.jpg,,,,,,,,,, +小叶黑柴胡,Bupleurum smithii var. parvifolium,白荫元及芬茨尔,2516,1934/ /,陕西,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0075226.jpg,,,,,,,,,, +黑柴胡(原变种),Bupleurum smithii var. smithii,蔡杰,刘成,何谐,16CS11714,20160822,甘肃,2884,河边林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435375.jpg,,,,,,,,,, +汶川柴胡,Bupleurum wenchuanense,,1076,,四川,,向阳,,有花有果,https://image.cvh.ac.cn/files/l/SM/SM715000891.jpg,,,,,,,,,, +汶川柴胡,Bupleurum wenchuanense,王清泉,28682,1981-8 2,四川省,1240,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0101744.jpg,,,,,,,,,, +汶川柴胡,Bupleurum wenchuanense,张志英,10193,1959/7/28,甘肃,1820,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0145778.jpg,,,,,,,,,, +银州柴胡,Bupleurum yinchowense,黄荣福 杨永昌,1741,19800910,青海省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/95726.jpg,,,,,,,,,, +银州柴胡,Bupleurum yinchowense,王崇书等,3341,1958/9/29,辽宁,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0189303.jpg,,,,,,,,,, +银州柴胡,Bupleurum yinchowense,左忠 ;牛有栋;李生山,ZuoZh361,20191001,宁夏,2247,温带干草原松林旁,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1509940.jpg,,,,,,,,,, +云南柴胡,Bupleurum yunnanense,潘泽惠、溥发鼎、李永江,976,Oct-86,四川省,3050,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093515.jpg,,,,,,,,,, +云南柴胡,Bupleurum yunnanense,付善权 赖映涛,151,,四川,,山上,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715001325.jpg,,,,,,,,,, +云南柴胡,Bupleurum yunnanense,姚淦,1696,19890713,西藏自治区,3600,草丛,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00001455.jpg,,,,,,,,,, +刺果藤,Byttneria grandifolia,刘开桃,522633190422042LY,20190422,贵州,725.8,旱生、阴性、中温、野生植物,藤本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0096888.jpg,,,,,,,,,, +刺果藤,Byttneria grandifolia,杨金财、廖云标,LH1498,20111117,广西壮族自治区,136,"路旁疏林, 普遍",匍匐草本,,https://image.cvh.ac.cn/files/l/IBK/IBK00308083.jpg,,,,,,,,,, +刺果藤,Byttneria grandifolia,钟义,3740,19610504,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/012617.jpg,,,,,,,,,, +,Calendula officinalis,刘正宇,19524,19950820,贵州,710,庭园观赏,,无花有果,https://image.cvh.ac.cn/files/l/PE/01830180.jpg,,,,,,,,,, +,Calendula officinalis,刘正宇,17002,19960514,重庆,630,房前栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/01830177.jpg,,,,,,,,,, +金盏花,Calendula officinalis,邓祥坤,655,0,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0046742.jpg,,,,,,,,,, +木紫珠,Callicarpa arborea,邓良,5187,1957/6/13,广东省,800,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0192098.jpg,,,,,,,,,, +木紫珠,Callicarpa arborea,勐海普查队,5328220091,20120424,云南省,1422,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0021172.jpg,,,,,,,,,, +,Callicarpa arborea,"Ulf Swenson, Sylvain Razafimandimbison, Do Van Tru",Swenson & al. 2013,20181001,,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0247519.jpg,,,,,,,,,, +紫珠,Callicarpa bodinieri,李倩,7010,20120714,湖南湘西州,,林中、林缘及灌丛中,灌木,有花有果,https://image.cvh.ac.cn/files/l/JIU/JIU23281.jpg,,,,,,,,,, +紫珠,Callicarpa bodinieri,,172,19580914,福建,,,,无花有果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092735.jpg,,,,,,,,,, +紫珠,Callicarpa bodinieri,赵万义,丁巧玲,张信坚,张记军,潘嘉文,LXP-13-16644,20160515,江西,941,山坡、壤土、密林, 陆生、灌木、直立 ,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00203007.jpg,,,,,,,,,, +,Callicarpa lobata,,,,,,,,,,,,,,,,,,, +,Callicarpa longifolia,H.T.Ho,60188,,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00056790.jpg,,,,,,,,,, +长叶紫珠,Callicarpa longifolia,S.Y.Hu,10193,19700524,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01558781.jpg,,,,,,,,,, +披针叶紫珠,Callicarpa longifolia,陈少卿,11341,19561126,海南省,500,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00090616.jpg,,,,,,,,,, +大叶紫珠,Callicarpa macrophylla,刘瑛光,875,19580713,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ049206.jpg,,,,,,,,,, +大叶紫珠,Callicarpa macrophylla,广南队,5326270208,20150807,云南省,1245,针阔叶混交林,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0026794.jpg,,,,,,,,,, +,Callicarpa macrophylla,"Séguin, J",2439,20 June 1898,,,,,,https://image.cvh.ac.cn/files/l/E/E00284252.jpg,,,,,,,,,, +,Callicarpa pararubella,"云南考察队(金效华,刘冰,刘博等)",YN-ET665,20090704,云南省,700,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01886621.jpg,,,,,,,,,, +红紫珠,Callicarpa rubella,左景烈、陈念劬,43351,19320813,海南省 ,0,,灌木,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0569538.jpg,,,,,,,,,, +红紫珠,Callicarpa rubella,袁发银,11117,19810817,江苏省,600,路边,,,https://image.cvh.ac.cn/files/l/IBK/IBK00350578.jpg,,,,,,,,,, +秃红紫珠,Callicarpa rubella,蓝开敏,851042,19850521,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0010668.jpg,,,,,,,,,, +,Callicarpa vestita,,,,,,,,,,,,,,,,,,, +翠菊,Callistephus chinensis,岭南队,666,198608,内蒙古自治区,,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/YAK/0004552.jpg,,,,,,,,,, +翠菊,Callistephus chinensis,何叶祺,5587,1959/8/4,甘肃,2200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0390937.jpg,,,,,,,,,, +翠菊,Callistephus chinensis,朱鑫鑫,王君,王美华,ZXX202204,20201009,安徽,981,花坛里,二年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506595.jpg,,,,,,,,,, +,Callitriche fehmedianii,"蔡杰,亚吉东,李昌洪",14CS9344,20140911,云南省,2674,村边水塘旁荒地,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1372673.jpg,,,,,,,,,, +,Callitriche fehmedianii,吴征镒等,75-0645,19750705,西藏自治区,3300~3400,沼泽地水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01169085.jpg,,,,,,,,,, +,Callitriche glareosa,,,,,,,,,,,,,,,,,,, +水马齿,Callitriche palustris,葛斌杰、王正伟、苏永欣,GBJ01266,20120328,浙江,28,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0021670.jpg,,,,,,,,,, +东北水马齿,Callitriche palustris,刘瑛光,68,19560125,广东省,,水旁水中路旁阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/01169143.jpg,,,,,,,,,, +,Callitriche palustris,Shiu Ying Hu,11356,19720107,香港,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01169151.jpg,,,,,,,,,, +牛角瓜,Calotropis gigantea,秦新生等,s.n.,20080407,,,,,有花有果,https://image.cvh.ac.cn/files/l/HUST/00024924.jpg,,,,,,,,,, +牛角瓜,Calotropis gigantea,曾宪锋,ZXF11535,2011/9/20,海南省,8,平地,,有花,https://image.cvh.ac.cn/files/l/CZH/CZH0006821.jpg,,,,,,,,,, +牛角瓜,Calotropis gigantea,张代贵,陈俊通,刘国玺,Deng-9428,20200606,四川,962.827,,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1513609.jpg,,,,,,,,,, +白花牛角瓜,Calotropis procera,李延辉,5387,19650514,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/035257.jpg,,,,,,,,,, +白花牛角瓜,Calotropis procera,黄俞淞、廖云标、谢彦君,yo563,20110521,广西壮族自治区,9,海边,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00220094.jpg,,,,,,,,,, +白花牛角瓜,Calotropis procera,Garcia del Llano,,19790822,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02040360.jpg,,,,,,,,,, +箐姑草,Calystegia hederacea,胡君,王东超,李丽,李奥奥,曾思源,黄欣,SC-a-035-B16,20160816,四川省,3225,高山栎群落中,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00608683.jpg,,,,,,,,,, +打碗花,Calystegia hederacea,Licent,12270,19350720,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00048130.jpg,,,,,,,,,, +打碗花,Calystegia hederacea,何俊,徐文斌,SZX222,20180625,重庆,170,,藤本,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0186112.jpg,,,,,,,,,, +杜鹃叶山茶,Camellia azalea,郭惠珠,严春发,1154,20081210,福建,43~201.3,盆栽,灌木,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0009413.jpg,,,,,,,,,, +杜鹃叶山茶,Camellia azalea,刘博,462,20170210,广东,1100,山坡,常绿灌木,有花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00045520.jpg,,,,,,,,,, +杜鹃红山茶,Camellia azalea,曾宪锋,ZXF27779,20170708,广东省,13,平原,灌木,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0023355.jpg,,,,,,,,,, +长尾毛蕊茶,Camellia caudata,"Tsang, W.T.",27314,1936-11-,Tonkin,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00089302.jpg,,,,,,,,,, +长尾毛蕊茶,Camellia caudata,代色平,65,20000602,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/CCAU/ccau0005715.jpg,,,,,,,,,, +长尾毛蕊茶,Camellia caudata,曾宪锋,ZXF52569,20190927,广东,662,山地灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0047708.jpg,,,,,,,,,, +落瓣短柱茶,Camellia kissii,腾冲普查队,530522150511113LY,20150511,云南省,1907,栽培植被,灌木,无花有果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0029459.jpg,,,,,,,,,, +落瓣油茶,Camellia kissii,冉义华,DPS2011-3-A-27,20110524,贵州省,1320,山坡,,无花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0010569.jpg,,,,,,,,,, +茶,Camellia sinensis,N.K. Chun,40074,1929-12-,香港; HONG KONG,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00091674.jpg,,,,,,,,,, +山茶属,Camellia sinensis,倪志诚 汪永泽 次多 次旦,410,19800704,西藏,1500,河谷杂木林之缘,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0004624.jpg,,,,,,,,,, +茶,Camellia sinensis,杨文晟、刘宇,LXP-13-11424,20130818,江西省宜春市,,平地、沙土、疏林,陆生、灌木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00174931.jpg,,,,,,,,,, +,Campanula argyrotricha,"陈又生,张树仁,于胜祥等",395,20111111,西藏自治区,3968,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01961355.jpg,,,,,,,,,, +钻裂风铃草,Campanula aristata,倪志诚 汪永泽 次多 次旦,1202,19800817,西藏自治区,2900,山坡流石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0007537.jpg,,,,,,,,,, +钻裂风铃草,Campanula aristata,,A-150,86.07.27,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00035985.jpg,,,,,,,,,, +钻裂风铃草,Campanula aristata,甘南草原调查队,303,19640707,甘肃,,黄河滩地,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092966.jpg,,,,,,,,,, +灰毛风铃草,Campanula cana,T.N.Liou,6084,1932/11/22,印度,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0015448.jpg,,,,,,,,,, +灰毛风铃草,Campanula cana,,10129,19220800,四川省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/276156116.jpg,,,,,,,,,, +,Campanula cana,"Kingdon-Ward, Francis",6109,18-Aug-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00265618.jpg,,,,,,,,,, +一年风铃草,Campanula dimorphantha,左大磊,zdl030,20040213,云南省,1632,林缘,,,https://image.cvh.ac.cn/files/l/KUN/1288259.jpg,,,,,,,,,, +,Campanula dimorphantha,"方文培,钱崇澍",12259,19380425,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01240740.jpg,,,,,,,,,, +,Campanula dimorphantha,"张志松,张永田",654,19600315,贵州省,200,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01240746.jpg,,,,,,,,,, +,Campanula hongii,,,,,,,,,,,,,,,,,,, +,Campanula immodesta,T.T.Yu,9287,19370729,云南省,4150,mt grassy land,,有花无果,https://image.cvh.ac.cn/files/l/PE/01241329.jpg,,,,,,,,,, +,Campanula immodesta,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-032-B42,20160814,云南,,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609542.jpg,,,,,,,,,, +,Campanula immodesta,吴征镒等,75-1010,19750717,西藏自治区,4500,古冰碛石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01241339.jpg,,,,,,,,,, +,Campanula latifolia,田景全,156,19600625,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827754.jpg,,,,,,,,,, +,Campanula latifolia,田景全,156,19600625,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827754.jpg,,,,,,,,,, +,Campanula latifolia,PE-西藏队,3977,20130723,西藏自治区,,路边灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056769.jpg,,,,,,,,,, +,Campanula microphylloidea,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1387,20130817,西藏自治区,3150,河谷陡坡岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992218.jpg,,,,,,,,,, +藏南风玲草,Campanula nakaoi,李渤生等,13855,19900919,西藏自治区,3800,高山灌丛沟谷中偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01241354.jpg,,,,,,,,,, +藏南风玲草,Campanula nakaoi,M.Suzuki etc.,9485285,19940805,,3100~3730,shady rocky place,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1224825.jpg,,,,,,,,,, +,Campanula pallida,湖南植物,10644,19380703,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01240936.jpg,,,,,,,,,, +,Campanula pallida,陈少卿,145,19420207,广东省,,肥土路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01241011.jpg,,,,,,,,,, +西南风铃草,Campanula pallida,彭玉德、吕惠珍、阳海鹏、李金花、胡雪阳,451031130731006LY,20130731,广西,1686,草丛,路旁,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0191138.jpg,,,,,,,,,, +絮斑风铃草,Campanula punctata,,2099,19160624,内蒙古,1600,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00032695.jpg,,,,,,,,,, +紫斑风铃草,Campanula punctata,周太炎,1646,1949/5/16,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0111063.jpg,,,,,,,,,, +紫斑风铃草,Campanula punctata,张钢民,71126,20070810,北京市,1200,林下坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00070236.jpg,,,,,,,,,, +,Campanula rotata,FLPH Tibet Expedition,12-2125,20120923,西藏自治区,3350,山谷林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099742.jpg,,,,,,,,,, +,Campanula sylvatica,,,,,,,,,,,,,,,,,,, +,Canscora alata,,,,,,,,,,,,,,,,,,, +罗星草,Canscora andrographioides,王名金等,2044,1957/10/2,江西,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0208364.jpg,,,,,,,,,, +罗星草,Canscora andrographioides,陈少卿,18008,1961/5/17,海南省,,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0025842.jpg,,,,,,,,,, +假须药草,Canscora andrographioides,丁广奇,石国良,1219,19631226,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/044215.jpg,,,,,,,,,, +,Canthium glabrum,曾怀德,29044,19390520,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0396058.jpg,,,,,,,,,, +独行千里,Capparis acutifolia,江西共大,,1976-12-,江西省,400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0133683.jpg,,,,,,,,,, +独行千里,Capparis acutifolia,叶华谷、邢福武,9010,20030821,澳门,0,,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0733983.jpg,,,,,,,,,, +独行千里,Capparis acutifolia,B.Bartholomew et al.,3842,19860330,,1100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01120108.jpg,,,,,,,,,, +总序山柑,Capparis assamica,陶国达,45556,19920429,云南省,800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458977.jpg,,,,,,,,,, +总序山柑,Capparis assamica,,2620,,云南省 ,0,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0494261.jpg,,,,,,,,,, +爪钾山柑,Capparis himalayensis,亚吉东,张桥蓉,秦少发,杨忠兰,16CS13440,20160825,新疆,1030,碎石坡上,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1438195.jpg,,,,,,,,,, +爪瓣山柑,Capparis himalayensis,崔鸿宾等,80-428,19800921,新疆维吾尔自治区,200,砂地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458995.jpg,,,,,,,,,, +爪瓣山柑,Capparis himalayensis,青藏队,76-12882,19760629,西藏自治区,3540,干旱碎石质坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01458996.jpg,,,,,,,,,, +多花山柑,Capparis multiflora,中苏云南联合考察团,s.n.,19581209,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01120203.jpg,,,,,,,,,, +多花山柑,Capparis multiflora,蔡希陶,52476,19321225,云南省 ,0,in ravine,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0494467.jpg,,,,,,,,,, +多花山柑,Capparis multiflora,"张挺, 刘成, 蔡磊",14CS9576,20141218,云南,,常绿阔叶林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1399425.jpg,,,,,,,,,, +,Capparis olacifolia,,,,,,,,,,,,,,,,,,, +,Capparis roxburghii,,,,,,,,,,,,,,,,,,, +黑叶山柑,Capparis sabiifolia,刘恩德,1685,20060421,,840,路边灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1511835.jpg,,,,,,,,,, +刺山柑,Capparis spinosa,周太炎,650351,1965-05-,新疆省,700M,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0134349.jpg,,,,,,,,,, +,Capparis spinosa,青藏队植被组,12882,19760629,西藏自治区,3500,干旱碎石质坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00049252.jpg,,,,,,,,,, +刺山柑,Capparis spinosa,张、赵、李、王,,19840800,甘肃,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00072112.jpg,,,,,,,,,, +薄叶山柑,Capparis tenera,,2141,19430421,贵州省,350,深谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01600692.jpg,,,,,,,,,, +薄叶山柑,Capparis tenera,Tsiang Ying,1875,19731000,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/105064786.jpg,,,,,,,,,, +,Capparis tenera,,ALSZY139,,云南,1113,,木质藤本,,https://image.cvh.ac.cn/files/l/KUN/1234931.jpg,,,,,,,,,, +荠,Capsella bursa-pastoris,何明友 谭仲明,117029,19830429,四川省,1200,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02095810.jpg,,,,,,,,,, +荠,Capsella bursa-pastoris,"张寿洲,李良千等",142,20050416,广东省,100~50,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01808102.jpg,,,,,,,,,, +荠,Capsella bursa-pastoris,郭成勇,0510015-1,20050403,山东省,250,田边 荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01603141.jpg,,,,,,,,,, +,Capsicum annuum,钱敏之,1619,19580000,湖北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00632088.jpg,,,,,,,,,, +辣椒,Capsicum annuum,吴玉虎,1941,19850830,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/120690.jpg,,,,,,,,,, +辣椒,Capsicum annuum,生科,6587,20120705,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0006587.jpg,,,,,,,,,, +露珠碎米荠,Cardamine circaeoides,苍梧县普查队,450421180729063LY,20180729,广西,70,草丛,阴坡,黄棕壤;少;野生,草本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00429598.jpg,,,,,,,,,, +露珠碎米荠,Cardamine circaeoides,徐增莱,熊豫宁,顾子霞等,234,20180518,江西省,472,山路边岩石旁,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00618712.jpg,,,,,,,,,, +露珠碎米荠,Cardamine circaeoides,黄建宏,52,19950405,安徽省,600,沟谷,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00569646.jpg,,,,,,,,,, +,Cardamine elegantula,,,,,,,,,,,,,,,,,,, +弯曲碎米荠,Cardamine flexuosa,何叶琪,1292,19581018,甘肃,650,农田,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0160392.jpg,,,,,,,,,, +弯曲碎米荠,Cardamine flexuosa,,3404,19100424,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00817670.jpg,,,,,,,,,, +碎米荠,Cardamine flexuosa,山东普查队,5,19590427,山东,,,,有花有果,https://image.cvh.ac.cn/files/l/JSPC/JSPC100365.jpg,,,,,,,,,, +莓叶碎米荠,Cardamine fragariifolia,"党成忠,党平",335,19860709,贵州省,1100,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01004574.jpg,,,,,,,,,, +莓叶碎米荠,Cardamine fragariifolia,李洪钧,3692,1958-07-,湖北省,1500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0135941.jpg,,,,,,,,,, +莓叶碎米荠,Cardamine fragariifolia,李健玲、黄金全,JWSQY100,20200524,广西,~1035,山地,山坡,黑灰壤;少见,草本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00434754.jpg,,,,,,,,,, +颗粒碎米荠,Cardamine granulifera,R.C.Ching,20436,19390529,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00817836.jpg,,,,,,,,,, +,Cardamine granulifera,"Delavay, J.M.",281,1883-6-2,,,,,,https://image.cvh.ac.cn/files/l/P/P00747523.jpg,,,,,,,,,, +颗粒碎米荠,Cardamine granulifera,张桥蓉;余华,ZhangYH233,20200711,云南,2484,林下,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1554903.jpg,,,,,,,,,, +山芥碎米荠,Cardamine griffithii,刘慎谔,1657,19500724,吉林省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00169978.jpg,,,,,,,,,, +山荠碎米荠,Cardamine griffithii,华西采集队,20050004,20050518,四川省,1900,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995614.jpg,,,,,,,,,, +,Cardamine griffithii,叶金科等,YNS0446,20081227,云南,875,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235369.jpg,,,,,,,,,, +碎米荠,Cardamine hirsuta,邢福武,5527,1995-03-,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0135982.jpg,,,,,,,,,, +碎米荠,Cardamine hirsuta,黄志,31502,19311126,广东,,山谷湿润地,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0110358.jpg,,,,,,,,,, +碎米荠,Cardamine hirsuta,关克俭,74061,19740419,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01197835.jpg,,,,,,,,,, +,Cardamine hongdeyuana,,,,,,,,,,,,,,,,,,, +,Cardamine hygrophila,李小杰,LiXJ015,20120602,四川,843,路边荒地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1321047.jpg,,,,,,,,,, +湿生碎米荠,Cardamine hygrophila,红水河植物考察队,567,19890425,广西壮族自治区,1150,沟谷阔叶林下,溪流边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0496556.jpg,,,,,,,,,, +,Cardamine hygrophila,易思荣,YiSR157,20100523,重庆,1437,林缘草地,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1235403.jpg,,,,,,,,,, +弹裂碎米荠,Cardamine impatiens,李光照,13908,19940520,广西壮族自治区,1600,路旁山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01350755.jpg,,,,,,,,,, +弹裂碎米荠,Cardamine impatiens,何汇珍,1423,19570522,黑龙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00326361.jpg,,,,,,,,,, +弹裂碎米荠,Cardamine impatiens,K.M. Liou,4660,1935/6/29,河南,930,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0004732.jpg,,,,,,,,,, +白花碎米荠,Cardamine leucantha,"王忠涛,马欣堂",84,19860511,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995824.jpg,,,,,,,,,, +,Cardamine leucantha,何兴金,王月,胡灏禹,SCU-08169,20080819,四川,3172,废弃耕地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235422.jpg,,,,,,,,,, +白花碎米荠,Cardamine leucantha,236-6队,2441,19760625,湖北省,560,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01003713.jpg,,,,,,,,,, +弯蕊碎米荠,Cardamine loxostemonoides,Linyang Chen etc.,KC-0369,20140627,云南省,2763,"slopes, along ditches, damp grounds by streams, open grass and gravel, scree",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1259040.jpg,,,,,,,,,, +弯蕊碎米荠,Cardamine loxostemonoides,川经植,795,19590610,四川省,2100,路旁,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01124696.jpg,,,,,,,,,, +,Cardamine loxostemonoides,"Ludlow, Francis & Sherriff, George",5618,21-Jun-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00154652.jpg,,,,,,,,,, +水田碎米荠,Cardamine lyrata,赵大昌等 ,327,19500805,吉林省,400,小河水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01003755.jpg,,,,,,,,,, +水田碎米荠,Cardamine lyrata,万源队,599,19780802,四川,1600,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM705800354.jpg,,,,,,,,,, +水田碎米荠,Cardamine lyrata,罗益,2.02E+13,20150418,贵州,1170,,,有花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0007646.jpg,,,,,,,,,, +,Cardamine macrophylla,更新组,,1955,吉林,,,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00011996.jpg,,,,,,,,,, +大叶碎米荠,Cardamine macrophylla,付竟秋,205,1958/8/17,河南省 ,1370,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0115860.jpg,,,,,,,,,, +大叶碎米荠,Cardamine macrophylla,付竞秋,205,19580817,河南,1370,山谷沟岸,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0115860.jpg,,,,,,,,,, +少叶碎米荠,Cardamine paucifolia,独龙江考察队,4476,19910310,云南省,1240,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0497137.jpg,,,,,,,,,, +,Cardamine pseudotrifoliolata,,,,,,,,,,,,,,,,,,, +细巧碎米荠,Cardamine pulchella,王启无,64489,19350700,云南省,3500,Under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01124680.jpg,,,,,,,,,, +细巧碎米荠,Cardamine pulchella,陈俊通,刘国玺,Deng-9237,20200602,云南,4056.97,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1513455.jpg,,,,,,,,,, +细巧碎米荠,Cardamine pulchella,Harry Smith.,11441,19340711,四川省,3100,in prato subbumido,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998016.jpg,,,,,,,,,, +,Cardamine tangutorum,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-0503,20080720,西藏,4037,高山草甸与高山灌丛,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300753.jpg,,,,,,,,,, +紫花碎米荠,Cardamine tangutorum,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1966,20130823,西藏自治区,4000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000588.jpg,,,,,,,,,, +,Cardamine tangutorum,何兴金,冯图,廖晨阳,袁书杰,SCU-080364,20080816,四川,,路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235447.jpg,,,,,,,,,, +三小叶碎米荠,Cardamine trifoliolata,赵清盛,1282,19890813,四川省,2800,高山草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01004559.jpg,,,,,,,,,, +三小叶碎米荠,Cardamine trifoliolata,张代贵,lxq0121017,20140516,湖南湘西州,,山坡林下,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU42017.jpg,,,,,,,,,, +,Cardamine trifoliolata,自正尧,XPALSB275,20090814,云南,820,河边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235453.jpg,,,,,,,,,, +钝叶云南碎米荠,Cardamine yunnanensis,北京队,895138,19890525,广西壮族自治区,1400,山坡林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01995038.jpg,,,,,,,,,, +云南碎米荠,Cardamine yunnanensis,李策宏,97-382,19970407,四川省,890,疏林下的山坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350716.jpg,,,,,,,,,, +云南碎米荠,Cardamine yunnanensis,植物所三峡考察队,867,20080428,重庆市,1110~1247,沟谷林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01788966.jpg,,,,,,,,,, +心翼果,Cardiopteris quinqueloba,C.Niyomdham,4911,19961108,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0369724.jpg,,,,,,,,,, +心翼果,Cardiopteris quinqueloba,余丽莹、黄宝优、农东新等,451422121209010LY,20121209,广西壮族自治区,234,灌丛,林缘,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0166840.jpg,,,,,,,,,, +心翼果,Cardiopteris quinqueloba,王正伟、苏永欣,wzw00641,20131119,海南省,,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0073457.jpg,,,,,,,,,, +节毛飞廉,Carduus acanthoides,刘昉勋等,10038,19570708,安徽省,,公路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00597519.jpg,,,,,,,,,, +节毛飞廉,Carduus acanthoides,9组,130227130708014LY,20140717,河北省,104,草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/HBNU/HBNU20001568.jpg,,,,,,,,,, +节毛飞廉,Carduus acanthoides,,253,19640604,贵州省,2500,,草本,有花无果,https://image.cvh.ac.cn/files/l/HGAS/027999.jpg,,,,,,,,,, +丝毛飞廉,Carduus crispus,谭策铭,9605145,19960522,江西省,25,滨湖草坝边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00043498.jpg,,,,,,,,,, +丝毛飞廉,Carduus crispus,,473,1964.7.1,新疆维吾尔自治区 ,1500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042011.jpg,,,,,,,,,, +丝毛飞廉,Carduus crispus,徐养鹏,于兆英,2136,1918/9/3,内蒙,2500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0432807.jpg,,,,,,,,,, +,Careya arborea,V.Narayanosanuy,18994,19290829,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0222877.jpg,,,,,,,,,, +榴玉蕊,Careya arborea,盛才余,C400780,20170627,云南,570,"C40,引种号:3820030051",乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026025.jpg,,,,,,,,,, +番木瓜,Carica papaya,刘正宇、张军等,RQHZ06344-02,20141107,四川,1423,路旁逸生,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0085287.jpg,,,,,,,,,, +,Carica papaya,广西队,2876,19530700,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01991205.jpg,,,,,,,,,, +,Carica papaya,俞德俊,1625,19321003,四川省,1350,side of field,,有花无果,https://image.cvh.ac.cn/files/l/PE/01162758.jpg,,,,,,,,,, +,Carlemannia griffithii,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-1108-T05-003163,20171215,,587,On the roadside slope,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1451313.jpg,,,,,,,,,, +香茜,Carlemannia tetragona,郭永杰;张桥蓉;秦少发;张凤琼,16CS14527,20161121,西藏,1464,公路边,半灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1480853.jpg,,,,,,,,,, +香茜,Carlemannia tetragona,曾宪锋,ZXF42460,20181117,福建,650,山谷林下,乔木,无花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0037725.jpg,,,,,,,,,, +香茜,Carlemannia tetragona,"刘恩德,邹娇,王存花,杨世雄,王永奎",LED10165,20201020,云南,515,溪边灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1511973.jpg,,,,,,,,,, +基及树,Carmona microphylla,邬文祥,7235,19800823,江苏省,,盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00584083.jpg,,,,,,,,,, +基及树,Carmona microphylla,王彩玲等,津01020,19800704,天津市,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00027579.jpg,,,,,,,,,, +基及树,Carmona microphylla,朱华、梁子宁、梁丹、凌永耀、陈龙,450703140705002LY,20140705,广西壮族自治区,108,阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0135312.jpg,,,,,,,,,, +天名精,Carpesium abrotanoides,侯元同,侯元免,高会芳,曹灵杰,王丽华,201610147-7,20161016,山东省,29.3,水边杨树林下,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0029667.jpg,,,,,,,,,, +,Carpesium abrotanoides,陈倬,,195709,山东,,,,有花无果,https://image.cvh.ac.cn/files/l/JSPC/JSPC102471.jpg,,,,,,,,,, +天名精,Carpesium abrotanoides,Y.Liu,889,19481003,湖南,,mt. grassy alope,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093216.jpg,,,,,,,,,, +烟管头草,Carpesium cernuum,宁夏中草药组,10308,1972/7/16,宁夏,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0293431.jpg,,,,,,,,,, +烟管头草,Carpesium cernuum,兰建林,201808063-2,20180806,山东,247,山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0047743.jpg,,,,,,,,,, +烟管头草,Carpesium cernuum,张玉良等,2149,1959/9/17,黑龙江省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0186788.jpg,,,,,,,,,, +心叶天名精,Carpesium cordatum,董安淼,350,20030725,江西省,250,山脚草丛,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00044339.jpg,,,,,,,,,, +心叶天名精,Carpesium cordatum,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201154,20200723,西藏,2096,路边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507186.jpg,,,,,,,,,, +心叶天名精,Carpesium cordatum,T.T.Yu,22597,19380831,云南省,3500,grassy slope,Herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00029993.jpg,,,,,,,,,, +金挖耳,Carpesium divaricatum,龙斯林,2-293,19850805,湖南省,800,荒地,,有花无果,https://image.cvh.ac.cn/files/l/HUFD/0001556.jpg,,,,,,,,,, +金挖耳,Carpesium divaricatum,葛斌杰、沈彬、周雅萍,GBJ09284,20181109,浙江,194.863,亚热带常绿阔叶林,林缘路边,草本 Herb,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0158678.jpg,,,,,,,,,, +金挖耳,Carpesium divaricatum,Y.Ando etc.,138,19690730,台湾省,600~1100,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0047309.jpg,,,,,,,,,, +绵毛尼泊尔天名精,Carpesium nepalense,陈彦生、吴振海、黎斌、郭晓思等,1885,2004/10/12,陕西省,2110,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0493310.jpg,,,,,,,,,, +棉毛尼泊尔天名精,Carpesium nepalense,宿秀江,刘和兵,433125D00030810073,20120810,湖南省,260.65,,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU06472.jpg,,,,,,,,,, +烟管头草,Carpesium nepalense,彭焱松、桂忠明、梁同军等,133,20110923,江西省,,,草本,,https://image.cvh.ac.cn/files/l/ZM/ZMNH0010265.jpg,,,,,,,,,, +棉毛尼泊尔天名精,Carpesium nepalense var. lanatum,刘宇、张忠、蔡敏琪、刘羽霞,LXP13-4325,20130731,湖南,,山坡(平缓)、壤土(黄壤)、灌丛, 陆生、草本、直立 ,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00207641.jpg,,,,,,,,,, +棉毛尼泊尔天名精,Carpesium nepalense var. lanatum,张桥蓉,蒋婷,王昆仑,ZhangYH102,20190915,云南,2418,石质山坡上,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1488779.jpg,,,,,,,,,, +绵毛尼泊尔天名精,Carpesium nepalense var. lanatum,赵清盛、刘建生、吕发强、胡刚,8013,1978-8 1,四川省,2650,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0144197.jpg,,,,,,,,,, +,Carpesium scapiforme,王启无,65563,19350800,西藏自治区,3400,Meadow,,有花有果,https://image.cvh.ac.cn/files/l/PE/00595045.jpg,,,,,,,,,, +葶茎天名精,Carpesium scapiforme,中甸队,776,19620814,云南省 ,3300,水边沼泽地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0047520.jpg,,,,,,,,,, +葶茎天名精,Carpesium scapiforme,T.T. Yü (俞德浚),12345,19370723,云南,3200,草坪中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219894.jpg,,,,,,,,,, +,Carpesium tracheliifolium,康藏植物考察队,10-2786,20100825,云南省,2962,山沟林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052535.jpg,,,,,,,,,, +粗齿天名精,Carpesium tracheliifolium,张代贵,dt080828001,20080828,湖北神农架,,林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU61626.jpg,,,,,,,,,, +,Carpesium tracheliifolium,,2715,19200816,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030001.jpg,,,,,,,,,, +红花,Carthamus tinctorius,候小琪,GYZ201308310146,20130831,贵州,,路旁、草坡,草本,无花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0005073.jpg,,,,,,,,,, +红花,Carthamus tinctorius,李东波,QYTC20140712016,20140712,甘肃,,,,有花无果,https://image.cvh.ac.cn/files/l/QYTC/QYTC0005020.jpg,,,,,,,,,, +红花,Carthamus tinctorius,巍山县普查队,5329271593,20120000,云南省,1200,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0026297.jpg,,,,,,,,,, +葛缕子(原变型),Carum carvi f. carvi,,,,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715001146.jpg,,,,,,,,,, +细葛缕子,Carum carvi f. gracile,T.Tang,1292,19290810,陕西省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00039715.jpg,,,,,,,,,, +细葛缕子,Carum carvi f. gracile,路端正,,20000811,青海,3200,,,,https://image.cvh.ac.cn/files/l/BJFC/00013942.jpg,,,,,,,,,, +细葛缕子,Carum carvi f. gracile,T.Tang,1292,19290810,山西,5400 ft,open mesdow,herb,有花无果,https://image.cvh.ac.cn/files/l/AU/AU086338.jpg,,,,,,,,,, +,Caryopteris forrestii,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-152-B08,20190826,四川,2632,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262648.jpg,,,,,,,,,, +小叶灰毛莸,Caryopteris forrestii,王启无,65154,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0570077.jpg,,,,,,,,,, +小叶灰毛莸,Caryopteris forrestii,,,19820628,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/080727.jpg,,,,,,,,,, +,Caryopteris minor,,201,19810000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/080088.jpg,,,,,,,,,, +,Caryopteris minor,,,19810719,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/080113.jpg,,,,,,,,,, +光果莸,Caryopteris tangutica,武陵队,1320,19880919,湖南省,800,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01342791.jpg,,,,,,,,,, +,Caryopteris tangutica,Harry Smith,4806,19221010,四川省,2100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031069.jpg,,,,,,,,,, +,Caryopteris tangutica,刘芙蓉、梁正川、罗建勋,JZG1344,20200418,四川,1462.75,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0270554.jpg,,,,,,,,,, +短梗岩须,Cassiope abbreviata,青藏队,359,19730626,西藏自治区,4000,路边灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0000338.jpg,,,,,,,,,, +短梗岩须,Cassiope abbreviata,傅德志 赵志龙 ,87-2369,19870824,四川省,3300,,,无花无果,https://image.cvh.ac.cn/files/l/WCSBG/004734.jpg,,,,,,,,,, +短梗岩须,Cassiope abbreviata,李馨,75020,19570626,重庆市,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00194135.jpg,,,,,,,,,, +扫帚岩须,Cassiope fastigiata,,171,19600605,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00045607.jpg,,,,,,,,,, +扫帚岩须,Cassiope fastigiata,,75,19590527,西藏自治区,4100,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00045604.jpg,,,,,,,,,, +扫帚岩须,Cassiope fastigiata,J.F.Duthie,,18970727,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU045643.jpg,,,,,,,,,, +朝天岩须,Cassiope palpebrata,青藏队,5446,19750603,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/48652.jpg,,,,,,,,,, +朝天岩须,Cassiope palpebrata,Forrest,19135,,云南; Yunnan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00109154.jpg,,,,,,,,,, +朝天岩须,Cassiope palpebrata,Joseph F. Rock,21934,May-32,西藏; Southeast Tibet,1500,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00109152.jpg,,,,,,,,,, +篦叶岩须,Cassiope pectinata,,23525,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0434733.jpg,,,,,,,,,, +篦叶岩须,Cassiope pectinata,,,,云南; Yunnan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00109164.jpg,,,,,,,,,, +篦叶岩须,Cassiope pectinata,青藏队,3743,19740730,西藏自治区,3800~4000,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0000413.jpg,,,,,,,,,, +,Cassiope selaginoides,"Maire, Edouard-Ernest",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00286003.jpg,,,,,,,,,, +岩须,Cassiope selaginoides,刀志灵;刘德团;郭世伟;张品;杨佳俊;陶丽丹;杨丰懋,KIBDZL209B17,20190726,云南,3614,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1561505.jpg,,,,,,,,,, +岩须,Cassiope selaginoides,方震东、和光,D-006,20031015,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007623.jpg,,,,,,,,,, +,Catalpa bignonioides,刘继孟等,1330,19570628,山西省,1400,阳处 山坡 疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518013.jpg,,,,,,,,,, +美国梓树,Catalpa bignonioides,,2551,19300617,山东省,0,,tree,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0562647.jpg,,,,,,,,,, +,Catalpa bignonioides,,524,19190524,河南省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01154446.jpg,,,,,,,,,, +长春花,Catharanthus roseus,曾宪锋,ZXF14826,20131019,江西省,100,平原,灌木,,https://image.cvh.ac.cn/files/l/CZH/CZH0018123.jpg,,,,,,,,,, +长春花,Catharanthus roseus,陈纪冰,2.02E+11,20200616,山东,40,公园,亚灌木,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0059845.jpg,,,,,,,,,, +长春花,Catharanthus roseus,C.W.Wang,73128,19360500,云南省 ,1100,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00084291.jpg,,,,,,,,,, +,Catolobus pendulus,东北队,71,19540806,,222,丘陵,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995729.jpg,,,,,,,,,, +,Catolobus pendulus,"李良千,王忠涛,班勤等",35,20040818,北京市,1180~1300,落叶林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998234.jpg,,,,,,,,,, +垂果南芥,Catolobus pendulus,张磊,任玉锋,zlnmu2022240,20220717,宁夏,1905,山谷溪边,草本,有花有果,https://image.cvh.ac.cn/files/l/NMU/NMU01169.jpg,,,,,,,,,, +,Catunaregam nutans,,,,,,,,,,,,,,,,,,, +山石榴,Catunaregam spinosa,涂铁要、常小玉,TuTY2078,20150922,海南,4.8,海岛,沙滩,乔木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0246407.jpg,,,,,,,,,, +山石榴,Catunaregam spinosa,吕惠珍,农东新,岑海锋,李金花,451025131014015LY,20131014,广西壮族自治区,714,灌丛,路旁,石灰土,,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0105889.jpg,,,,,,,,,, +山石榴,Catunaregam spinosa,柳南区普查队,450204190725006LY,20190725,广西,134,灌丛,阳坡,石灰土;一般;野生,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00427722.jpg,,,,,,,,,, +,Cavea tanguensis,高信芬,鞠文彬,郑臣臣,THP-KD-5692,20170809,四川省,4832,贡嘎山大本营流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251584.jpg,,,,,,,,,, +葶菊,Cavea tanguensis,"李渤生,程树志,倪志诚",5794,19830725,西藏,4300~4400,高山草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830194.jpg,,,,,,,,,, +葶菊,Cavea tanguensis,青藏队植被组,7684,19750902,西藏自治区,4700~4800,冰碛丘陵上 水边 砾石滩,,无花无果,https://image.cvh.ac.cn/files/l/PE/01496548.jpg,,,,,,,,,, +青葙,Celosia argentea,To Kang Ping,22,1923/2/2,广东; KWANGTUNG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00063808.jpg,,,,,,,,,, +青葙,Celosia argentea,"Lau, S.K.",3047,1934/1/1,海南; HAINAN,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00063787.jpg,,,,,,,,,, +青葙,Celosia argentea,L.Q.Li et al.,186,20041022,,100,In limestone forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01807345.jpg,,,,,,,,,, +,Celosia cristata,李延辉,2716,19601106,云南省 ,680,林缘村边荒地上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1265745.jpg,,,,,,,,,, +,Celosia cristata,华东工作站同人,3493,19510912,安徽省,,农舍旁栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/00151727.jpg,,,,,,,,,, +鸡冠花,Celosia cristata,,,19100922,东京,,,,有花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00040376.jpg,,,,,,,,,, +矢车菊,Centaurea cyanus,闫小玲、李惠茹、严靖,RQHD01573,20150320,浙江省,73,草坪,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0096465.jpg,,,,,,,,,, +矢车菊,Centaurea cyanus,邢去迪,XYD-007,,辽宁,,,,有花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF011888.jpg,,,,,,,,,, +矢车菊,Centaurea cyanus,T.Y.chow K.C.Tsu,123,19380414,四川省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/280158158.jpg,,,,,,,,,, +石胡荽,Centipeda minima,廖文波、刘佳、刘逸嵘、冯璐、潘嘉文、关开朗,441225180316007LY,20180316,广东,36.2,野生,中生, 耐阴,亚高温植物,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00235769.jpg,,,,,,,,,, +石胡荽,Centipeda minima,王明川,GYZ201309030338,20160419,贵州,,路旁,草本,无花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0007178.jpg,,,,,,,,,, +石胡荽,Centipeda minima,"K. Yamaoka, A. Sakamoto, H. Fukuhara et al.",FOK-062193,20031019,高知县,,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0115757.jpg,,,,,,,,,, +西南胡麻草,Centranthera cochinchinensis var. nepalensis,侯元同,郭成勇,侯春丽,201605015-1,20160430,四川省,1824.39,水边,草本,无花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0025786.jpg,,,,,,,,,, +西南胡麻草,Centranthera cochinchinensis var. nepalensis,刘伟心,6616,19530901,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/044216.jpg,,,,,,,,,, +,Centranthera cochinchinensis var. nepalensis,,12539,19380922,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0058730.jpg,,,,,,,,,, +大花胡麻草,Centranthera grandiflora,屏边县中药资源普查队,5325231003,20120906,云南省,1502,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0020344.jpg,,,,,,,,,, +大花胡麻草,Centranthera grandiflora,李中提,601474,19580903,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00052873.jpg,,,,,,,,,, +大花胡麻草,Centranthera grandiflora,蒋英,7248,19300000,贵州省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0555823.jpg,,,,,,,,,, +,Centranthera indica,,,,,,,,,,,,,,,,,,, +风箱树,Cephalanthus tetrandra,缪以清,李立新,TCM360,20100906,江西省,275,山谷溪边林下湿地,落叶灌至小乔木,无花有果,https://image.cvh.ac.cn/files/l/JJF/JJF00026907.jpg,,,,,,,,,, +风箱树,Cephalanthus tetrandra,anonymous,3387,19580806,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/HTC/HTC0007177.jpg,,,,,,,,,, +卷耳,Cerastium arvense,白龙江考察队,605,19980721,甘肃省,2700,山地 山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01556427.jpg,,,,,,,,,, +卷耳,Cerastium arvense,曲波,XF-P002-005,20160414,辽宁省,342,石砾土,沼泽类草地,榆、月见草多,,无花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF002013.jpg,,,,,,,,,, +,Cerastium arvense,田先华,李明辉,TianXH315,20120509,陕西,1461,山坡路旁,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1301220.jpg,,,,,,,,,, +卷耳,Cerastium arvense subsp. strictum,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13830,20160906,新疆,1540,河边草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1447560.jpg,,,,,,,,,, +卷耳,Cerastium arvense subsp. strictum,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1438-3108,20190815,宁夏,2509,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1474572.jpg,,,,,,,,,, +卷耳,Cerastium arvense subsp. strictum,张庆费、钟鑫、葛斌杰等,ZX00989,20180320,浙江,647.68,亚热带常绿与落叶混交林,次生林,林缘,沟谷,草本 Herb,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0151650.jpg,,,,,,,,,, +簇生卷耳,Cerastium fontanum,王发国、陈林等,3454,20080413,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0765128.jpg,,,,,,,,,, +簇生卷耳,Cerastium fontanum,江明喜,黄汉东,周阳,秦运芝,吕林玉,汪汉园,吴浩,王世彤,杨腾,王从容,20190092,20190626,湖北,1090,林缘,公路边,草本,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0194652.jpg,,,,,,,,,, +喜泉卷耳,Cerastium fontanum,刘裕芳,201814651,20180420,贵州省,487,荒路上,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0024371.jpg,,,,,,,,,, +,Cerastium fontanum subsp. grandiflorum,"李渤生,李辉,阳艺",13434,19900903,西藏自治区,3100~3300,亚高山 灌丛中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486972.jpg,,,,,,,,,, +,Cerastium fontanum subsp. grandiflorum,罗建,林玲,LiuJQ-11XZ-103,20110910,西藏,4243,温带山坡灌丛,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1238410.jpg,,,,,,,,,, +,Cerastium fontanum subsp. vulgare,胡君、王东超、李丽、唐露,SC-a-044-B17,20180711,四川,,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00608691.jpg,,,,,,,,,, +簇生泉卷耳,Cerastium fontanum subsp. vulgare,傅坤俊,8167,1955/4/25,陕西省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0099301.jpg,,,,,,,,,, +簇生泉卷耳,Cerastium fontanum subsp. vulgare,王启无,76456,1935/ /,云南省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0048592.jpg,,,,,,,,,, +缘毛卷耳,Cerastium furcatum,彭辅松,370,19590512,湖北省,,树林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00574802.jpg,,,,,,,,,, +,Cerastium furcatum,何兴金,赵丽华,李琴琴,王长宝,SCU-08089,20080819,四川,3441,公路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1239109.jpg,,,,,,,,,, +缘毛卷耳,Cerastium furcatum,傅坤俊,13021,1960/7/4,陕西省 ,1600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0362872.jpg,,,,,,,,,, +球序卷耳,Cerastium glomeratum,李培元,1158,19590328,陕西省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00308052.jpg,,,,,,,,,, +珠序卷耳,Cerastium glomeratum,刘正宇,182383,20080425,重庆市,1380,山地荒坡草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868178.jpg,,,,,,,,,, +珠序卷耳,Cerastium glomeratum,龙茹等,90176,20090507,湖北省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868213.jpg,,,,,,,,,, +山卷耳,Cerastium pusillum,周建军、黎明,140606026,20140606,湖南省,1459,林缘路旁,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI025928.jpg,,,,,,,,,, +山卷耳,Cerastium pusillum,钟补求,9093,19580901,甘肃省,,云杉林地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00575387.jpg,,,,,,,,,, +山卷耳,Cerastium pusillum,熊豫宁,吴宝成,马振秀,4718,20120426,江苏省,,山路边草丛,匍匐草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00592701.jpg,,,,,,,,,, +藏南卷耳,Cerastium thomsonii,赵魁义,791,19810824,云南省,4220,高山沼泽,,有花有果,https://image.cvh.ac.cn/files/l/IGA/IGA0001492.jpg,,,,,,,,,, +藏南卷耳,Cerastium thomsonii,王辰,,20110623-26,西藏,,草甸,,,https://image.cvh.ac.cn/files/l/BNU/0019436.jpg,,,,,,,,,, +藏南卷耳,Cerastium thomsonii,郝加琛,XZ14531,20140728,西藏自治区,3600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0039155.jpg,,,,,,,,,, +毛蓝雪花,Ceratostigma griffithii,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00063888.jpg,,,,,,,,,, +毛蓝雪花,Ceratostigma griffithii,王启无,70035,19350900,云南省,2200,Mountain slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00748691.jpg,,,,,,,,,, +毛蓝雪花,Ceratostigma griffithii,PE西藏队,PE6736,20170916,西藏自治区,3568,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330555.jpg,,,,,,,,,, +刺鳞蓝雪花,Ceratostigma ulicinum,PE西藏队,PE5229,20170826,西藏自治区,4270,林下灌层,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330546.jpg,,,,,,,,,, +刺鳞蓝雪花,Ceratostigma ulicinum,贾慎修,1662,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00748883.jpg,,,,,,,,,, +刺鳞蓝雪花,Ceratostigma ulicinum,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,00-44,20180811,西藏,4315,湖岸湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0193044.jpg,,,,,,,,,, +,Ceratostigma willmottianum,"Wilson, E.H.",1373,,,,,,,https://image.cvh.ac.cn/files/l/P/P00650392.jpg,,,,,,,,,, +岷江蓝雪花,Ceratostigma willmottianum,邱炳云,55575,19571212,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00748922.jpg,,,,,,,,,, +岷江蓝雪花,Ceratostigma willmottianum,西藏 ,Tl219,85.07.12,新疆维吾尔自治区 ,4400,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00036472.jpg,,,,,,,,,, +,Ceriscoides campanulata,,,,,,,,,,,,,,,,,,, +匙冠吊灯花,Ceropegia hookeri,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201155,20200723,西藏,1942,路边坡上,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507185.jpg,,,,,,,,,, +,Ceropegia jilongensis,,,,,,,,,,,,,,,,,,, +,Ceropegia longifolia,E. H. Wilson,2313,1908/6/30,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00076270.jpg,,,,,,,,,, +长叶吊灯花,Ceropegia longifolia,刘恩德,向春雷,侬鑫,2549,20100801,四川,1370,"Roadside, in thickets",Liane,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512438.jpg,,,,,,,,,, +长叶吊灯花,Ceropegia longifolia,向晟、藤建卓,JS20180613_0338,20180613,湖南,352.1,灌丛,藤本植物,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU46938.jpg,,,,,,,,,, +亮叶吊灯花,Ceropegia lucida,张挺,郭永杰,吴之坤,姜虹,李贵能,16CS12576,20160813,四川,2208,路边灌丛,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435890.jpg,,,,,,,,,, +亮叶吊灯花,Ceropegia lucida,E.H.Wilson,2316,空,湖北,2550,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005621.jpg,,,,,,,,,, +亮叶吊灯花,Ceropegia lucida,荔浦县普查队,450331180825058LY,20180825,广西,113,灌丛,路旁,黄棕壤,少野生,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00416124.jpg,,,,,,,,,, +西藏吊灯花,Ceropegia pubescens,沐先运,1250,20120811,西藏自治区,,山坡,小乔木,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00077739.jpg,,,,,,,,,, +柔毛吊灯花(西藏吊灯花),Ceropegia pubescens,,842,19570800,贵州,,,,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0071192.jpg,,,,,,,,,, +西藏吊灯花,Ceropegia pubescens,赵子恩,1882,19840531,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0101659.jpg,,,,,,,,,, +,Chaerophyllopsis huai,"Ducloux, F.",4565,1906/9/26,,,,,,https://image.cvh.ac.cn/files/l/P/P00752730.jpg,,,,,,,,,, +滇藏细叶芹,Chaerophyllopsis huai,J.F.ROCK,10434,19330800,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/121228215.jpg,,,,,,,,,, +滇藏细叶芹,Chaerophyllopsis huai,青藏队,10148,19820908,西藏自治区,3600~3800,山沟灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00724791.jpg,,,,,,,,,, +无苞矮泽芹,Chamaesium delavayi,,,19830722,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/068410.jpg,,,,,,,,,, +,Chamaesium delavayi,"Delavay, J.M.",3911,1889-9-10,,,,,,https://image.cvh.ac.cn/files/l/P/P04142109.jpg,,,,,,,,,, +鹤庆矮泽芹,Chamaesium delavayi,C.W.Wang,65566,1935/08/,云南,3400,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0047535.jpg,,,,,,,,,, +矮泽芹,Chamaesium paradoxum,陈世龙、高庆波、张发起等,Chensl-1579,20110818,青海,3630,高山草甸,直立草本,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00024612.jpg,,,,,,,,,, +,Chamaesium paradoxum,"杨青松,星耀武,苏涛",ZhouZK-07ZX-0411,20080917,云南省,4400,高山草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336039.jpg,,,,,,,,,, +矮泽芹,Chamaesium paradoxum,汪永泽,79075,19790724,西藏自治区,3800,水沟边,草本,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0005032.jpg,,,,,,,,,, +松潘矮泽芹,Chamaesium thalictrifolium,联大,21665,,云南省 ,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0461484.jpg,,,,,,,,,, +松潘矮泽芹,Chamaesium thalictrifolium,李晓东,刘帆,张景博,徐凌翔,LiJ0027,20080901,甘肃,3539,高山草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0188770.jpg,,,,,,,,,, +,Chamaesium thalictrifolium,彭玉兰、涂卫国、幸福,Gaoxf0104,20080715,四川,3860,坡地路旁,直立草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0206374.jpg,,,,,,,,,, +假九节木,Chassalia curviflora,左景烈,21686,19300519,香港,,,灌木,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00247470.jpg,,,,,,,,,, +弯管花,Chassalia curviflora,孙航等,1186,19921211,西藏自治区,1400,Under ferst,,有果无花,https://image.cvh.ac.cn/files/l/KUN/739277.jpg,,,,,,,,,, +长弯管花,Chassalia curviflora,邓良,2803,19561022,海南省,0,山坡荫处密林中,,有果无花,https://image.cvh.ac.cn/files/l/KUN/314527.jpg,,,,,,,,,, +,Chenopodiastrum badachschanicum,,,,,,,,,,,,,,,,,,, +大叶藜,Chenopodiastrum hybridum,马秉权、柴福弟,811197,19810921,黑龙江,,,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0003136.jpg,,,,,,,,,, +杂配藜,Chenopodiastrum hybridum,丁新华,马燕,谢菊明,,20180707,新疆,,草地,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00112120.jpg,,,,,,,,,, +尖头叶藜,Chenopodium acuminatum,聂敏祥等,7623,19630724,江西省,31,湖边山坡,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0586752.jpg,,,,,,,,,, +尖头叶藜,Chenopodium acuminatum,曹伟,曹伟8585,20190725,辽宁,33 米,杨树人工林中,,无花有果,https://image.cvh.ac.cn/files/l/IFP/IFP0259072.jpg,,,,,,,,,, +,Chenopodium acuminatum,张永刚,YangLM0335,20110927,吉林,143,沙碱地,路旁湿地,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1244415.jpg,,,,,,,,,, +狭叶尖头叶藜,Chenopodium acuminatum subsp. virgatum,侯学良,92003,20180814,广东,56,草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/AU/AU067395.jpg,,,,,,,,,, +狭叶尖头叶藜,Chenopodium acuminatum subsp. virgatum,李恒,俞宏渊,1387,19821006,湖南省,180,荒地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0587379.jpg,,,,,,,,,, +狭叶尖头叶藜,Chenopodium acuminatum subsp. virgatum,,865,19960911,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00235161.jpg,,,,,,,,,, +藜,Chenopodium album,丘明新,70,19640707,宁夏回族自治区,,路边 渠边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00474494.jpg,,,,,,,,,, +藜,Chenopodium album,曹伟,CaoW5849,20150721,黑龙江省肈东市,223,芦苇群落附近,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0241153.jpg,,,,,,,,,, +藜,Chenopodium album,"李渤生,杜泽泉,张百平",11335,19870901,新疆维吾尔自治区,3550,河内杂草,,有花无果,https://image.cvh.ac.cn/files/l/PE/01341653.jpg,,,,,,,,,, +,Chenopodium atripliciforme,,,,,,,,,,,,,,,,,,, +菱叶藜,Chenopodium bryoniifolium,宋松泉,HN022,20080930,河南,1136,沟谷,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454434.jpg,,,,,,,,,, +菱叶藜,Chenopodium bryoniifolium,路端正,,20000700,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00040495.jpg,,,,,,,,,, +,Chenopodium bryoniifolium,"牛玉璐,高彦飞,黄士良",NiuYL243,20131019,河北省,200,温带平原草地路边荒地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1372604.jpg,,,,,,,,,, +小藜,Chenopodium ficifolium,毕玉科,BYK3203,20121028,浙江省,6.18,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0035329.jpg,,,,,,,,,, +,Chenopodium ficifolium,李晓东,张景博,徐凌翔,顾舒平,LiJ444,20090915,四川,3530,高山草甸,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1244584.jpg,,,,,,,,,, +,Chenopodium ficifolium,叶华谷、曾飞燕,LXP10-817,20130804,江西省,0~200,山谷、草地、路旁,草本,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0774269.jpg,,,,,,,,,, +仗藜,Chenopodium giganteum,刘正宇、张军等,S-3439,20170928,重庆,745.16,路旁,草本,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0051904.jpg,,,,,,,,,, +,Chenopodium giganteum,Wang Tso-Pin,11852,,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00511139.jpg,,,,,,,,,, +杖藜,Chenopodium giganteum,董世林、张韻冰、罗光裕,93,19750712,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/NEFI/034005009003001.jpg,,,,,,,,,, +,Chenopodium iljinii,陈家辉,庄会富,刘德团,边巴扎西,YangYP-Q-0069,20080828,西藏,4264,河边草地,沙质地,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1244354.jpg,,,,,,,,,, +小白藜,Chenopodium iljinii,刘全儒,ALT.113,20140725,新疆省,3935,沙子泉边的草甸,草本,,https://image.cvh.ac.cn/files/l/BNU/0027642.jpg,,,,,,,,,, +,Chenopodium iljinii,王习勇,马文宝,施翔,zdy315,20060907,新疆,1005,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1244659.jpg,,,,,,,,,, +平卧藜,Chenopodium karoi,余奇、熊先华、李琳霖,THP-KD-3880,20170807,四川,3437~3534,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251625.jpg,,,,,,,,,, +,Chenopodium karoi,Ho Ting-nung et al.,1029,19930810,青海省,4050,Partly from plane of river and from gently sloping valley sides with sandy soils and boulders,,有花无果,https://image.cvh.ac.cn/files/l/PE/00235049.jpg,,,,,,,,,, +平卧藜,Chenopodium karoi,K.T.Fu,1392,19370625,甘肃,3100,road side,herb,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0022114.jpg,,,,,,,,,, +,Chenopodium pamiricum,刘东来,s.n.,,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00511759.jpg,,,,,,,,,, +,Chenopodium pamiricum,T.P.Wang,6239,19360918,青海省,2700,near house,,有花有果,https://image.cvh.ac.cn/files/l/PE/00511761.jpg,,,,,,,,,, +,Chenopodium perttii,,,,,,,,,,,,,,,,,,, +,Chenopodium polyspermum,J.Zelazny,,20090820,,200,wasteland,,有花无果,https://image.cvh.ac.cn/files/l/PE/01901043.jpg,,,,,,,,,, +,Chenopodium polyspermum,Y.Yabe,,19170818,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00303845.jpg,,,,,,,,,, +,Chenopodium suecicum,Ivan Nielsen et al.,233,19740828,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01817362.jpg,,,,,,,,,, +喜冬草,Chimaphila japonica,河南队,427,19590510,河南省,970,山坡 路旁 疏林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00058537.jpg,,,,,,,,,, +喜冬草,Chimaphila japonica,李洪钧,2734,19580609,湖北省,1405,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0092780.jpg,,,,,,,,,, +喜冬草,Chimaphila japonica,戴天伦,105748,19580727,重庆市,2350,生于草坪中 ,,有花有果,https://image.cvh.ac.cn/files/l/PE/00058560.jpg,,,,,,,,,, +,Chionanthus hainanensis,"How, Foon-Chew",71061,Mar-33,,,,,,https://image.cvh.ac.cn/files/l/E/E00284872.jpg,,,,,,,,,, +,Chionanthus mala-elengi subsp. terniflorus,,,,,,,,,,,,,,,,,,, +枝花李榄,Chionanthus ramiflorus,张代贵、田向荣、周强等,CB20150516_GT0175,20150516,湖南,1452,路边林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU31762.jpg,,,,,,,,,, +大花流苏树,Chionanthus ramiflorus,张志松,张永田,8620,19600827,贵州省,1300,山坡,密林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/SHM/SHM0000335.jpg,,,,,,,,,, +枝花流苏树,Chionanthus ramiflorus,中苏队,5826,19570404,云南省,1100,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0458039.jpg,,,,,,,,,, +垫紫草,Chionocharis hookeri,青藏补点,750394,19750624,西藏自治区,5000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/51030.jpg,,,,,,,,,, +垫紫草,Chionocharis hookeri,严岳鸿、齐新萍,YYH12756,20130829,西藏,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0086950.jpg,,,,,,,,,, +垫紫草,Chionocharis hookeri,史效武,MLS-176,20090919,云南省,4553,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001380.jpg,,,,,,,,,, +溪桫,Chisocheton cumingianus subsp. balansae,农东新、黄雪彦、蓝祖栽、谢月英,451422130121021LY,20130121,广西壮族自治区,524,阔叶林,林下,乔木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0101484.jpg,,,,,,,,,, +溪桫,Chisocheton cumingianus subsp. balansae,刀志灵;蔡磊;张品;常帅;陶丽丹;杨佳俊;陈娅玲,KIBDZL171B09,20190514,云南,809,沟谷,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1560899.jpg,,,,,,,,,, +,Chisocheton cumingianus subsp. balansae,"蔡杰,亚吉东,余香琴,苏勇,李昌洪",14CS9181,20140524,云南省,854,常绿阔叶林林缘,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1332688.jpg,,,,,,,,,, +鹿角藤,Chonemorpha eriostylis,吕清华,3396,19731126,海南省 ,700,山地,山谷,密林,藤本,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00373222.jpg,,,,,,,,,, +鹿角藤,Chonemorpha eriostylis,岑溪调查队,7-243,19771014,广西壮族自治区,,,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI030545.jpg,,,,,,,,,, +鹿角藤,Chonemorpha eriostylis,王孝、高锡朋、刘心祈,100087,19400204,云南省 ,860,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0477486.jpg,,,,,,,,,, +,Chonemorpha fragrans,陈恒彬,2043,19880806,福建省,50,栽培,藤本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/FJSI020810.jpg,,,,,,,,,, +大叶鹿角藤,Chonemorpha fragrans,C.W. Wang,80645,1936/11/,云南省,900,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0048878.jpg,,,,,,,,,, +大叶鹿角藤,Chonemorpha fragrans,C.E.Ridsdale,109,19760610,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0477493.jpg,,,,,,,,,, +哥氏鹿角藤,Chonemorpha griffithii,毛品一,566,19511213,云南,500,路旁,藤本攀援,良好,https://image.cvh.ac.cn/files/l/BJM/148623.jpg,,,,,,,,,, +漾濞鹿角藤,Chonemorpha griffithii,C.W.Wang,74310,19360600,云南省 ,1570,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00084296.jpg,,,,,,,,,, +漾濞鹿角藤,Chonemorpha griffithii,毛品一,562,19511207,云南省,1180,石山石上无荫,,有果无花,https://image.cvh.ac.cn/files/l/KUN/238890.jpg,,,,,,,,,, +尖子藤,Chonemorpha verrucosa,蔡克华,1092,19530508,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/239939.jpg,,,,,,,,,, +尖子藤,Chonemorpha verrucosa,刘心祈,28281,19361201,海南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0477550.jpg,,,,,,,,,, +尖子藤,Chonemorpha verrucosa,朱志淞,1136,19511123,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0477543.jpg,,,,,,,,,, +小花离子芥,Chorispora macropoda,西植新疆队,2418,1978/8/16,新疆维吾尔族自治区,2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0338022.jpg,,,,,,,,,, +小花离子芥,Chorispora macropoda,李渤生等,10078,19870619,新疆维吾尔自治区,2700,河边湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01804983.jpg,,,,,,,,,, +小花离子芥,Chorispora macropoda,泛喜马拉雅植物志巴基斯坦采集队,FPH-0718,20120624,,3800~4010,"Forest(Picea,Abies,Pinus),Alpine meadow lake",,有花无果,https://image.cvh.ac.cn/files/l/PE/02004698.jpg,,,,,,,,,, +假野菰,Christisonia hookeri,刘心祈,27356,19360630,海南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0547748.jpg,,,,,,,,,, +假野菰,Christisonia hookeri,张挺;亚吉东;李昌洪,19CS18526,20190806,广东,86,河边竹林下,腐生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1554202.jpg,,,,,,,,,, +假野菰,Christisonia hookeri,刘林翰,9024,19580620,湖南省,1300,山地山谷岩林,草本 ,有花无果,https://image.cvh.ac.cn/files/l/KUN/0317803.jpg,,,,,,,,,, +高原芥,Christolea crassifolia,PE西藏考察队,7736,20180624,西藏自治区,3902,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332648.jpg,,,,,,,,,, +高原芥,Christolea crassifolia,郭柯,12813,19900904,新疆维吾尔自治区,3400,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046371.jpg,,,,,,,,,, +高原芥,Christolea crassifolia,,,,新疆维吾尔自治区 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00327241.jpg,,,,,,,,,, +,Chromolaena odorata,赵佐成,3423,19931016,四川省,1800,路边阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026080.jpg,,,,,,,,,, +飞机草,Chromolaena odorata,曾宪锋,ZXF43650,20181228,广东,470,山地林缘,多年生披散草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0038911.jpg,,,,,,,,,, +飞机草,Chromolaena odorata,王发国、段磊、王永琪,RQHN03237,20151002,广东省,17,路旁,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0127839.jpg,,,,,,,,,, +菊花,Chrysanthemum morifolium,吕志松,958,19590914,湖北省,700,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0002672.jpg,,,,,,,,,, +,Chrysanthemum morifolium,邬文祥,7582,19821023,江苏省,,土丘上栽培,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00587205.jpg,,,,,,,,,, +菊,Chrysanthemum morifolium,,BJTC038223,,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC038223.jpg,,,,,,,,,, +,Chrysojasminum floridum,,,,,,,,,,,,,,,,,,, +,Chrysojasminum humile,,,,,,,,,,,,,,,,,,, +,Chrysojasminum humile var. microphyllum,,,,,,,,,,,,,,,,,,, +麻楝,Chukrasia tabularis,K.S.Chow,78292,19781203,海南省 ,50,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0215573.jpg,,,,,,,,,, +麻楝,Chukrasia tabularis,高锡朋,50978,19301122,湖南省,,林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01137250.jpg,,,,,,,,,, +麻楝,Chukrasia tabularis,C.W.Wang,86686,19400204,云南省 ,1000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0215537.jpg,,,,,,,,,, +,Cichorium intybus,邢吉庆,23170,19801106,陕西省,400,道旁花坛栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/00606570.jpg,,,,,,,,,, +菊苣,Cichorium intybus,朱鑫鑫,王君,王美华,ZXX20308,20200529,河南,127,荒地中,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1507155.jpg,,,,,,,,,, +菊苣,Cichorium intybus,王光正,561,19520908,黑龙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/14178001x0007.jpg,,,,,,,,,, +毒芹,Cicuta virosa,关广清,492,,辽宁省抚顺市,,,,有花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF006421.jpg,,,,,,,,,, +毒芹,Cicuta virosa,杨朝广,269,19510706,湖北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00020073.jpg,,,,,,,,,, +毒芹,Cicuta virosa,宁夏中草药组,3-408,1972/7/27,宁夏,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0293230.jpg,,,,,,,,,, +灰毛浆果楝,Cipadessa baccifera,邓朝义,DengCY022,20130929,贵州,1195,石山林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1553730.jpg,,,,,,,,,, +灰毛浆果楝,Cipadessa baccifera,平乐县普查队,450330180514051LY,20180514,广西,200,灌丛,阳坡,石灰土,一般野生,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00412914.jpg,,,,,,,,,, +浆果楝,Cipadessa baccifera,刘博,20120643,20120621,广西省,,药市采集,,有花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00023415.jpg,,,,,,,,,, +,Cirsium albicephalum,,,,,,,,,,,,,,,,,,, +南蓟,Cirsium argyracanthum,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20967,20200717,西藏,3639,湿地边,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1504755.jpg,,,,,,,,,, +刺儿菜,Cirsium arvense,刘立品,850316,19851002,甘肃,,山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/QYTC/QYTC0002342.jpg,,,,,,,,,, +刺儿菜,Cirsium arvense,张丽,SK2015050107,20150713,河北,,,,无花有果,https://image.cvh.ac.cn/files/l/HBU/HBU0003802.jpg,,,,,,,,,, +,Cirsium arvense,C.K.Nyi,235,19270903,江苏,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0060626.jpg,,,,,,,,,, +藏蓟,Cirsium arvense var. alpestre,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20575,20200621,西藏,3617,湿地边,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1505488.jpg,,,,,,,,,, +,Cirsium arvense var. alpestre,"亚吉东, 张桥蓉, 胡枭剑",16CS13154,20160624,新疆,654,河滩草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1450679.jpg,,,,,,,,,, +,Cirsium arvense var. alpestre,"张发起, 高庆波, 迟晓峰, 刑睿, 贾留坤, 夏铭泽",QXA0221,20170826,青海,4000,温带荒漠草原,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1458593.jpg,,,,,,,,,, +大刺儿菜,Cirsium arvense var. setosum,汪庆,等,588,,江苏省,,山坡荒地,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00629535.jpg,,,,,,,,,, +,Cirsium arvense var. setosum,,212,19350705,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0060422.jpg,,,,,,,,,, +,Cirsium arvense var. setosum,Y.Yabe,,19100801,辽宁省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00487087.jpg,,,,,,,,,, +贡山蓟,Cirsium eriophoroides,白洪兵、和仕波,533324180819377LY,20180819,云南,3064.7,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010088.jpg,,,,,,,,,, +贡山蓟,Cirsium eriophoroides,和凤光,刘琳,zhwy-67,20090824,云南省,3378,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006449.jpg,,,,,,,,,, +贡山蓟,Cirsium eriophoroides,成瑞瑜、蔡竞、秦换换,CRY-AA-17-001,20210531,四川,2021.7m,草坡,中生或阳生,有花有果,https://image.cvh.ac.cn/files/l/SZ/02068631.jpg,,,,,,,,,, +,Cirsium lipskyi,FLPH Tibet Expedition,12-1930,,西藏自治区,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967119.jpg,,,,,,,,,, +,Cirsium nishiokae,,,,,,,,,,,,,,,,,,, +牛口刺,Cirsium shansiense,田林普查队,4.51E+14,20121201,广西壮族自治区,1229,阔叶林、灌丛,林下,石灰土,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0094632.jpg,,,,,,,,,, +牛口刺,Cirsium shansiense,雁山区普查队,450311181028039LY,20181028,广西,177,草丛,路旁,黄棕壤;少;野生,草本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00428019.jpg,,,,,,,,,, +,Cirsium shansiense,"王薇,方振富,何汇珍等",2334,19630727,吉林省,1800,岳桦林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/00456458.jpg,,,,,,,,,, +葵花大蓟,Cirsium souliei,"李世英,汤彦承,徐连旺",342,19520728,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01552238.jpg,,,,,,,,,, +葵花大蓟,Cirsium souliei,"胡文光,何铸",10938,19510818,重庆市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00457315.jpg,,,,,,,,,, +葵花大蓟,Cirsium souliei,杨长铭,522628160307013LY,20160307,贵州省,315.4,草丛、中生、阳性、沙土、中温,多年生草本植物,有花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0051341.jpg,,,,,,,,,, +,Cirsium wallichii var. nepalensis,,,,,,,,,,,,,,,,,,, +,Cissampelopsis corifolia,"Henry, Augustine",9178B,,,,,,,https://image.cvh.ac.cn/files/l/E/E00515614.jpg,,,,,,,,,, +革叶藤菊,Cissampelopsis corifolia,H.T. Tsai,51633,19330123,云南省 ,1700,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00092739.jpg,,,,,,,,,, +革叶藤菊,Cissampelopsis corifolia,金平县调查队,5325300703,20120923,云南省,2052,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0018276.jpg,,,,,,,,,, +藤菊,Cissampelopsis volubilis,魏升华,70407009,20070407,贵州,,路旁,藤本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0004516.jpg,,,,,,,,,, +藤菊,Cissampelopsis volubilis,邓良,423,19361127,海南省 ,0,,藤本 ,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0581284.jpg,,,,,,,,,, +藤菊,Cissampelopsis volubilis,H. T. Tsai,51633,19330123,云南省 ,1700,in ravine,twining shrub,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00257671.jpg,,,,,,,,,, +箭叶橙,Citrus hystrix,T.F.Li,139,19261027,湖北省,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/137086102.jpg,,,,,,,,,, +箭叶橙,Citrus hystrix,简焯坡,党成忠等,51807,19650822,贵州省,1150,山坡,林中,沟边,小乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0515951.jpg,,,,,,,,,, +箭叶橙,Citrus hystrix,G. Edano,,29-Nov,"Luzon, Cagayan Provi",,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00036502.jpg,,,,,,,,,, +,Citrus latipes,,,,,,,,,,,,,,,,,,, +柠檬,Citrus limon,F.A. McClure,193,1931/7/7,香港; HONG KONG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00036683.jpg,,,,,,,,,, +柠檬,Citrus limon,F.T.Wang,528,19290000,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00626749.jpg,,,,,,,,,, +柠檬,Citrus limon,W.Y.Chun,6211,19280000,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00626757.jpg,,,,,,,,,, +香橼,Citrus medica,王玲,515,1961.9.2,云南,,平地,,无花无果,https://image.cvh.ac.cn/files/l/HENU/0150003.jpg,,,,,,,,,, +香橼,Citrus medica,郭华秀,,1918/9/9,广东; KWANGTUNG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00036249.jpg,,,,,,,,,, +香橼,Citrus medica,K.S.Chow,78860,19781123,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0384510.jpg,,,,,,,,,, +柑橘,Citrus reticulata,赵佐成,88-1575,19880815,重庆市,565,阳处 山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01365805.jpg,,,,,,,,,, +柑橘,Citrus reticulata,Ching et Tso,685,19260529,,,In a small yard of a house,,无花有果,https://image.cvh.ac.cn/files/l/PE/00626980.jpg,,,,,,,,,, +,Citrus reticulata,田黄全,17,19600412,北京,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/02250941.jpg,,,,,,,,,, +橙,Citrus sinensis,K.T.Fu,3622,19420503,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00626984.jpg,,,,,,,,,, +橙,Citrus sinensis,火树华,,19580901,福建,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00023061.jpg,,,,,,,,,, +橙,Citrus sinensis,"李渤生,程树志",3904,19830329,西藏自治区,850,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02074689.jpg,,,,,,,,,, +酸橙,Citrus × aurantium,F.A. McClure,3409,1926-12-,广西; KWANGSI,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00044268.jpg,,,,,,,,,, +酸橙,Citrus × aurantium,Albert N.Steward and H.C.Cheo,556,19330530,广西壮族自治区,0~1000,,,无花有果,https://image.cvh.ac.cn/files/l/N/137086069_1.jpg,,,,,,,,,, +酸橙,Citrus × aurantium,,2094,,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00044277.jpg,,,,,,,,,, +假黄皮,Clausena excavata,Y. Tsiang,1008,1928/8/8,广东; KWANGTUNG,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00043969.jpg,,,,,,,,,, +假黄皮,Clausena excavata,李钳,155,1984-10-,海南,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00044075.jpg,,,,,,,,,, +假黄皮,Clausena excavata,刘慎谔,18564,19410406,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0406386.jpg,,,,,,,,,, +,Clausena heptaphylla,C.E.Ridsdale,331,19760703,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0406420.jpg,,,,,,,,,, +黄皮,Clausena lansium,张,,19781015,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM707900781.jpg,,,,,,,,,, +黄皮,Clausena lansium,Anonymous,750,19650729,浙江省,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/HHBG/HZ021171.jpg,,,,,,,,,, +黄皮,Clausena lansium,,1540,19760625,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00627205.jpg,,,,,,,,,, +猕猴桃藤山柳,Clematoclethra scandens,吉首大学生物资源与环境科学学院,GWJ20180712_0227,20180712,湖南,402,灌丛,乔木,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU55592.jpg,,,,,,,,,, +弥猴桃藤山柳,Clematoclethra scandens,何毅 郝加琛,GSL2015050866,20150531,甘肃省,2300,林下,,,https://image.cvh.ac.cn/files/l/BNU/0020854.jpg,,,,,,,,,, +藤山柳,Clematoclethra scandens,"覃海宁,王印政,闫丽春,文香英,邓德山,唐赛春,农必明,张宪春,夏念和",496,19980412,广西壮族自治区,680,石山,,,https://image.cvh.ac.cn/files/l/KUN/1288183.jpg,,,,,,,,,, +苞花大青,Clerodendrum bracteatum,张肇骞,12999,19581018,广西壮族自治区,300,疏林,,有果无花,https://image.cvh.ac.cn/files/l/KUN/196731.jpg,,,,,,,,,, +苞花大青,Clerodendrum bracteatum,T.Shimizu,12686,19610513,台湾省,800,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/196744.jpg,,,,,,,,,, +苞花大青,Clerodendrum bracteatum,邓良,6756,19580711,广东省,500,山地路旁山谷疏林,,有果无花,https://image.cvh.ac.cn/files/l/KUN/196729.jpg,,,,,,,,,, +臭茉莉,Clerodendrum chinense,万秀区普查队,450403200725015LY,20200725,广西,50,针阔混交林,林缘,黄棕壤;一般;野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00432833.jpg,,,,,,,,,, +,Clerodendrum chinense,罗毅波,3250,19850903,湖南省,400,山沟林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02243698.jpg,,,,,,,,,, +臭茉莉,Clerodendrum chinense,龙珍,201504111,20160715,广东,800,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SN/SN004532.jpg,,,,,,,,,, +腺茉莉,Clerodendrum colebrookianum,"梁凯丽,陆小鸿",517,19850713,,,,,有花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI053435.jpg,,,,,,,,,, +腺茉莉,Clerodendrum colebrookianum,孙航,周浙昆,俞宏渊,242,19921009,西藏自治区,900,in chiuk forest,,有果无花,https://image.cvh.ac.cn/files/l/KUN/196800.jpg,,,,,,,,,, +腺茉莉,Clerodendrum colebrookianum,刘英光,2149,19580922,广东省,0~200,,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0571634.jpg,,,,,,,,,, +西垂茉莉,Clerodendrum griffithianum,赵子恩,9597,20050415,云南,1640,山地上坡林中,灌木,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0185024.jpg,,,,,,,,,, +西垂茉莉,Clerodendrum griffithianum,腾冲普查队,530522150704314LY,20150704,云南省,1906,灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0029793.jpg,,,,,,,,,, +,Clerodendrum hastatum,,66,,,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0571479.jpg,,,,,,,,,, +,Clerodendrum indicum,H.F.Sun,1357A,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01649165.jpg,,,,,,,,,, +长管大青,Clerodendrum indicum,刘恩德,向春雷,李艳春,蒋宏,侬鑫,2807,20101007,云南,795,"roadside, in thickets",shrub,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512228.jpg,,,,,,,,,, +长管大青,Clerodendrum indicum,,7529,,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00216957.jpg,,,,,,,,,, +,Clerodendrum infortunatum,W.Y.Chun,418,19270600,,0,,low shrub,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0571625.jpg,,,,,,,,,, +赪桐,Clerodendrum japonicum,陈焕镛,32554,19330000,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0010088.jpg,,,,,,,,,, +,Clerodendrum japonicum,三峡考察队,2051,20080718,重庆市,1310~1611,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02241969.jpg,,,,,,,,,, +,Clerodendrum japonicum,Y. Tsiang,2506,29-May,,,,,,https://image.cvh.ac.cn/files/l/NY/00137406.jpg,,,,,,,,,, +,Clerodendrum panigrahianum,,,,,,,,,,,,,,,,,,, +绢毛大青,Clerodendrum villosum,Shiu Ying Hu,13684,19750427,香港,266,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00957581.jpg,,,,,,,,,, +绢毛大青,Clerodendrum villosum,陶国达,4711,19640105,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/046965.jpg,,,,,,,,,, +绢毛大青,Clerodendrum villosum,T.T.Yu,1207,19320300,四川省,2600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00967015.jpg,,,,,,,,,, +垂茉莉,Clerodendrum wallichii,曾宪锋,ZXF44164,20190104,广东,20,种植,灌木,无花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0039425.jpg,,,,,,,,,, +垂茉莉,Clerodendrum wallichii,陈焕镛,6140,19270000,香港,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0602748.jpg,,,,,,,,,, +垂茉莉,Clerodendrum wallichii,杨平、农时越、农素芸等,BL542,20200418,广西,~773,石灰岩石山;普遍,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00429196.jpg,,,,,,,,,, +云南桤叶树,Clethra delavayi,廖文波等,NF-014,20110717,江西省吉安市,,山坡,乔木,,https://image.cvh.ac.cn/files/l/SYS/SYS00175523.jpg,,,,,,,,,, +云南桤叶树,Clethra delavayi,张卢水、李家亮、陈春林,SUZLS03606,20180511,四川,2828,,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1560604.jpg,,,,,,,,,, +江南山柳,Clethra delavayi,赵万义、刘忠成、阴倩怡、刘楠楠、冯璐、张信坚、叶矾、熊武建、邓磊,LXP-13-23775,20170614,江西,1891,山坡、壤土、疏林, 陆生、灌木、直立 ,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00203610.jpg,,,,,,,,,, +白背桤叶树,Clethra petelotii,倪志诚,汪永泽,次多,次旦,867,19800728,西藏自治区,1900,山坡杂木林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001133.jpg,,,,,,,,,, +白背桤叶树,Clethra petelotii,毛品一,2722,19530815,云南省,1000,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00088974.jpg,,,,,,,,,, +白背桤叶树,Clethra petelotii,毛品一,2722,1953/4/15,云南,1000,,灌木直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0246084.jpg,,,,,,,,,, +大花红淡比,Cleyera japonica var. wallichiana,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11881,20161113,西藏,1986,中山湿性常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444956.jpg,,,,,,,,,, +,Cleyera japonica var. wallichiana,杜大华,3903,19320000,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00119755.jpg,,,,,,,,,, +,Cleyera japonica var. wallichiana,亚吉东,14CS9099,20140509,云南,1947,人工栽培,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321750.jpg,,,,,,,,,, +风轮菜,Clinopodium chinense,侯元同,郭成勇,李爱民,侯春丽,201702131-1,20170207,重庆,151.51,荒地,草本,无花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0043477.jpg,,,,,,,,,, +,Clinopodium chinense,"曹伟, 于兴华, 朱彩霞, 石洪山, 邵云玲",CaoW6408,20150821,辽宁,466,山地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1455848.jpg,,,,,,,,,, +风轮菜,Clinopodium chinense,黄汉东,万丹,651,20160806,广东,1780,,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0173936.jpg,,,,,,,,,, +细风轮菜,Clinopodium gracile,,189,19720612,浙江,,,,有花无果,https://image.cvh.ac.cn/files/l/BJM/0147860.jpg,,,,,,,,,, +细风轮菜,Clinopodium gracile,姜在民 杜诚 刘培亮等,3163,2011/8/20,甘肃省,2000,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/517650.jpg,,,,,,,,,, +细风轮菜(瘦风轮),Clinopodium gracile,侯元同,郭成勇,侯元免,20180621460-2,20180622,河南,60,湿地荒滩,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0045171.jpg,,,,,,,,,, +蛇床子,Clinopodium megalanthum,王博,5,20100703,河南省,,生于湖边草地,田边,及路旁杂草地.,,有花有果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0004291.jpg,,,,,,,,,, +,Clinopodium megalanthum,,12179,,湖南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0047470.jpg,,,,,,,,,, +美丽,Clinopodium megalanthum,C.W.Wang,66807,1935/10/,云南,2300,,Herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0036486.jpg,,,,,,,,,, +,Clinopodium nepalense,"刘成, 张挺, 亚吉东",18CS17458,20180911,西藏,2739,路边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1482780.jpg,,,,,,,,,, +,Clinopodium piperitum,,,,,,,,,,,,,,,,,,, +灯笼草,Clinopodium polycephalum,张代贵、王业清、朱小琴,2425,20170820,湖北宜昌,1800,阔叶林下草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE07267.jpg,,,,,,,,,, +灯笼草,Clinopodium polycephalum,宁夏中药组,339,1972/7/16,宁夏回族自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0293263.jpg,,,,,,,,,, +灯笼草,Clinopodium polycephalum,凌苹苹,孙三省,54,19650423,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00243468.jpg,,,,,,,,,, +匍匐风轮菜,Clinopodium repens,张代贵,YH150413334,20150413,湖南株洲,,路边灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU45334.jpg,,,,,,,,,, +匍匐风轮菜,Clinopodium repens,李健玲、邹永誉、叶春伟,GPS191101010,20191101,广西,~,山地,路旁,黄壤;普遍,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00434359.jpg,,,,,,,,,, +匍匐风轮菜,Clinopodium repens,H.T.Tsai,57707,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00220942.jpg,,,,,,,,,, +风轮菜,Clinopodium umbrosum,李胜华,伍贤进等,WuXJ894,20081001,湖南,605,灌木林间,草本,,https://image.cvh.ac.cn/files/l/KUN/1387423.jpg,,,,,,,,,, +,Clinopodium umbrosum,"Martin, Léon & Bodinier, Emile M.",1941,20 September 1897,,,,,,https://image.cvh.ac.cn/files/l/E/E00208067.jpg,,,,,,,,,, +,Clinopodium umbrosum,谭策铭、曹仕优,971883,19971215,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/JJF/00001755.jpg,,,,,,,,,, +,Clinopodium wardii,,,,,,,,,,,,,,,,,,, +,Cnidium monnieri,Y.Ando etc.,330,19690805,台湾省,1500,,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0461547.jpg,,,,,,,,,, +蛇床,Cnidium monnieri,周义峰,熊豫宁,顾子霞等,太湖201925,20190422,浙江省,1,水边堤坝上,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00626853.jpg,,,,,,,,,, +蛇床,Cnidium monnieri,慕泽泾,360981200513228LY,20200513,江西,30.3,,一年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0010271.jpg,,,,,,,,,, +钟花草,Codonacanthus pauciflorus,,,,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC036053.jpg,,,,,,,,,, +钟花草,Codonacanthus pauciflorus,,4135,19321208,台湾省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/150265099.jpg,,,,,,,,,, +钟花草,Codonacanthus pauciflorus,中越考察队,581,19641218,山西,120,灌丛密林下阴处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/233656.jpg,,,,,,,,,, +大叶党参,Codonopsis affinis,T.N.Ho etc.,2009,19960818,青海省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/761738.jpg,,,,,,,,,, +大叶党参,Codonopsis affinis,,,,,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0525319.jpg,,,,,,,,,, +大叶党参,Codonopsis affinis,武素功,2884,19591023,四川省,2650,灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/171155.jpg,,,,,,,,,, +大萼党参,Codonopsis benthamii,杨文光,DT7180,20190726,云南,3140,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1513163.jpg,,,,,,,,,, +,Codonopsis benthamii,K.M.Feng,1916,19390730,云南省,3300,On open quercus thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01646382.jpg,,,,,,,,,, +,Codonopsis benthamii,高信芬、彭玉兰、孙庚,3443,20020913,四川,3700~3800,高山草地,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0181092.jpg,,,,,,,,,, +,Codonopsis bhutanica,,,,,,,,,,,,,,,,,,, +川鄂党参,Codonopsis bomiensis,"张永田,郞楷永",1187,19650731,西藏自治区,3100,河滩灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01252502.jpg,,,,,,,,,, +,Codonopsis campanulata,PE-西藏队,3840,20130722,西藏自治区,3700,山坡灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056967.jpg,,,,,,,,,, +脉花党参,Codonopsis foetens,余奇、熊先华、李琳霖,THP-KD-5060,20170815,四川省,1687~1736,前溪卫生院,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251855.jpg,,,,,,,,,, +臭党参,Codonopsis foetens,青藏队,2759,19810714,云南省,4300,高山 矮山 杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173967.jpg,,,,,,,,,, +臭党参,Codonopsis foetens,杨永昌,1416,19650815,青海省,4500,阴坡灌丛草甸下草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01252785.jpg,,,,,,,,,, +臭党参,Codonopsis foetens subsp. nervosa,王启无,65634,19350800,西藏自治区,3500,Grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01252815.jpg,,,,,,,,,, +臭党参,Codonopsis foetens subsp. nervosa,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01252879.jpg,,,,,,,,,, +臭党参,Codonopsis foetens subsp. nervosa,杨永昌,1416,19650815,青海省,4500,阴坡灌丛草甸下草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01252785.jpg,,,,,,,,,, +,Codonopsis gracilis,青藏队,13642,19830907,四川省,2700,山坡 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173973.jpg,,,,,,,,,, +细钟花,Codonopsis gracilis,亚吉东,黄莉,方云花,20CS20012,20200903,云南,2121,石壁,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505354.jpg,,,,,,,,,, +,Codonopsis gracilis,PE-西藏队,3217,20130713,西藏自治区,2426,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056892.jpg,,,,,,,,,, +,Codonopsis hongii,PLPH Tibet expedition,12-1936,20120921,西藏自治区,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056894.jpg,,,,,,,,,, +毛细钟花 ,Codonopsis hongii,,322,19751027,西藏,1960,,藤本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719100822.jpg,,,,,,,,,, +,Codonopsis hongii,金效华、王利松、刘恩德,172,20020911,四川省,2000,,,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0181114.jpg,,,,,,,,,, +,Codonopsis inflata,K.Biswas,4686,19400000,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01361956.jpg,,,,,,,,,, +,Codonopsis inflata,,2499,19740912,西藏自治区,1800,常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621346.jpg,,,,,,,,,, +大花金钱豹,Codonopsis javanica,亚吉东、黄莉、何华杰,15CS11258,20151024,云南,2257,常绿阔叶林,草质藤本,,https://image.cvh.ac.cn/files/l/KUN/1395907.jpg,,,,,,,,,, +金钱豹,Codonopsis javanica,麻超柏、石琳军,HY20171212_0046,20171212,湖南,449,灌丛,藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU35026.jpg,,,,,,,,,, +,Codonopsis javanica,,8924,19611007,浙江省,,梯田旁的灌木上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01621392.jpg,,,,,,,,,, +闪毛党参,Codonopsis pilosula subsp. handeliana,方震东,JW530,20010609,云南省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007926.jpg,,,,,,,,,, +,Codonopsis pilosula subsp. handeliana,崔友文,5231,19510811,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01253109.jpg,,,,,,,,,, +,Codonopsis pilosula subsp. handeliana,崔友文,5064,19510731,西藏自治区,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01646273.jpg,,,,,,,,,, +,Codonopsis rotundifolia,Stainton et al.,3797,19540808,,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01372289.jpg,,,,,,,,,, +,Codonopsis rotundifolia,西藏中草药普查队,1563,19720827,西藏自治区,3600~3700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01252712.jpg,,,,,,,,,, +藏南党参,Codonopsis subsimplex,青藏队,74-2509,19740914,西藏自治区,3860,山坡灌丛林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01253301.jpg,,,,,,,,,, +藏南党参,Codonopsis subsimplex,H.Kanai etc.,723168,19750825,Topke Gola,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/171279.jpg,,,,,,,,,, +藏南党参,Codonopsis subsimplex,G.H.Cave,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01372065.jpg,,,,,,,,,, +,Codonopsis thalictrifolia,李渤生等,6296,19830808,西藏自治区,3400~4200,Abies林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01253387.jpg,,,,,,,,,, +,Codonopsis thalictrifolia,,1919,19660729,,4333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01372068.jpg,,,,,,,,,, +,Codonopsis thalictrifolia subsp. mollis,PE西藏队,PE5545,20170831,西藏自治区,4352,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890171.jpg,,,,,,,,,, +,Codonopsis tubulosa subsp. vadsea,,,,,,,,,,,,,,,,,,, +绿花党参,Codonopsis viridiflora,黄荣福,2188,19910708,甘肃省,3000,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0232529.jpg,,,,,,,,,, +绿花党参,Codonopsis viridiflora,李九丹 徐智明,理塘64-54,19640806,四川,3680,,直立草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM719100819.jpg,,,,,,,,,, +绿花党参,Codonopsis viridiflora,杜 庆,76-0168,19760608,宁夏回族自治区,2000,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/63931.jpg,,,,,,,,,, +,Codonopsis viridis,J.D.H.& J.J.,s.n.,,,1667~2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01372049.jpg,,,,,,,,,, +,Coffea benghalensis,,2533,19740914,西藏自治区,650,热带季雨林 河边杂木中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00635367.jpg,,,,,,,,,, +毛喉鞘蕊花,Coleus forskohlii,H.T.Tsai,51980,19320909,云南省 ,2300,,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00221048.jpg,,,,,,,,,, +毛喉鞘蕊花,Coleus forskohlii,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/076728.jpg,,,,,,,,,, +毛喉鞘蕊花,Coleus forskohlii,H.T.Tsai,51980,1932/9/9,云南,2300,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0041746.jpg,,,,,,,,,, +,Coleus polystachyus,,,,,,,,,,,,,,,,,,, +,Coleus strobilifer,,,,,,,,,,,,,,,,,,, +,Colquhounia coccinea,尹志坚,王泽欢,陈丽,2121,20090911,云南,2200,roadsides,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512297.jpg,,,,,,,,,, +火把花,Colquhounia coccinea,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/080141.jpg,,,,,,,,,, +深红火把花,Colquhounia coccinea,,8530951,19850820,Shemma,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/213058.jpg,,,,,,,,,, +火把花,Colquhounia coccinea var. mollis,尹志坚等,3458,20100805,云南,1810,"Riversides,in forests",灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512301.jpg,,,,,,,,,, +火把花,Colquhounia coccinea var. mollis,Y.Tsiang,11923,19330911,云南省 ,2500,,"shrub,plant tomentose",有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00221058.jpg,,,,,,,,,, +,Colquhounia coccinea var. mollis,,11054,19380820,湖南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0047438.jpg,,,,,,,,,, +,Colquhounia vestita,"Wallich, Nathaniel",2086,,,,,,,https://image.cvh.ac.cn/files/l/E/E00266253.jpg,,,,,,,,,, +白毛火把花,Colquhounia vestita,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1097,20130813,西藏自治区,2641,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000921.jpg,,,,,,,,,, +白毛火把花,Colquhounia vestita,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003031,20171127,西藏,2324,Pinewood of hillside,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1451792.jpg,,,,,,,,,, +,Comastoma falcatum,,4660,19180816,,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00026061.jpg,,,,,,,,,, +镰萼喉毛花,Comastoma falcatum,朱格鳞,75005,19750830,甘肃,3200,汫底草地,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092510.jpg,,,,,,,,,, +镰萼喉毛花,Comastoma falcatum,于兆英,682,1980/9/1,宁夏,2300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0450666.jpg,,,,,,,,,, +长梗喉毛花,Comastoma pedunculatum,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/135246024.jpg,,,,,,,,,, +长梗喉毛花,Comastoma pedunculatum,方震东、和光,XZ-443,20070929,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003049.jpg,,,,,,,,,, +长梗喉毛花,Comastoma pedunculatum,王辰,,20060802-6,四川省,,草甸,,,https://image.cvh.ac.cn/files/l/BNU/0021634.jpg,,,,,,,,,, +喉毛花,Comastoma pulmonarium,宁宇,MA-M-0098,20150813,甘肃,3430,不积水草本,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0008019.jpg,,,,,,,,,, +,Comastoma pulmonarium,"Delavay, J.M.",144,1885-10-20,,,,,,https://image.cvh.ac.cn/files/l/P/P00353416.jpg,,,,,,,,,, +喉毛花,Comastoma pulmonarium,方震东、刘琳、李红、和光、史小武、赵卫东、陈洁,K-2355,20021015,云南省,4298,高山苔草草甸,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007318.jpg,,,,,,,,,, +纤枝喉毛花,Comastoma stellariifolium,王启无,67256,19320000,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00077001.jpg,,,,,,,,,, +纤枝喉毛花,Comastoma stellariifolium,何廷农,1367,19891019,云南省,2950,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/154511.jpg,,,,,,,,,, +纤枝喉毛花,Comastoma stellariifolium,,11382,19380827,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0053482.jpg,,,,,,,,,, +柔弱喉毛花,Comastoma tenellum,,352,,青海省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00077003.jpg,,,,,,,,,, +柔弱喉毛花,Comastoma tenellum,,414,19790822,四川,4200,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM716500047.jpg,,,,,,,,,, +柔弱喉毛花,Comastoma tenellum,山西队、关克俭、陈艺林,1850,19590819,山西省,3220,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/136351.jpg,,,,,,,,,, +田旋花,Convolvulus arvensis,西藏考察队,259,19730602,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/37377.jpg,,,,,,,,,, +田旋花,Convolvulus arvensis,刘宇轩,BJTC008872,20190701,北京市,969,山坡林地,,有花有果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008872.jpg,,,,,,,,,, +田旋花,Convolvulus arvensis,辛晓伟;步瑞兰;李秀鸿,XINGJ068,20200724,山东,4,温带草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1556005.jpg,,,,,,,,,, +,Conyza semipinnatifida,B.Barhtolomew et D.E.Boufford,3963,19860406,,500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01702957.jpg,,,,,,,,,, +,Corallodiscus conchifolius,G.N.Potanin,s.n.,18850907,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030677.jpg,,,,,,,,,, +小石花,Corallodiscus conchifolius,张永洪,王晓雄,周卓,岳亮亮,SunH-07ZX-0546,20080721,西藏,2796,干热河谷,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1385256.jpg,,,,,,,,,, +小石花,Corallodiscus conchifolius,"何毅,刘丹辉",BNU2017XZ002,20170820,西藏自治区,3787,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0039456.jpg,,,,,,,,,, +卷丝苣苔,Corallodiscus kingianus,西藏生物所植物组,350,19880901,西藏自治区,4200,山坡裸岩阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0006948.jpg,,,,,,,,,, +卷丝苣苔,Corallodiscus kingianus,魏振铎,22335,19810806,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/147702.jpg,,,,,,,,,, +卷丝苣苔,Corallodiscus kingianus,香格里拉大峡谷考察小组,k-738,20020620,云南省,3160,黄果冷杉群落,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003435.jpg,,,,,,,,,, +珊瑚苣苔,Corallodiscus lanuginosus,"高连明,刘杰,张书东",GLM-081568,20080914,西藏自治区,1775,亚热带次生林,,,https://image.cvh.ac.cn/files/l/KUN/1273586.jpg,,,,,,,,,, +,Corallodiscus lanuginosus,C. D. Reeves,,192608,山西省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00243802.jpg,,,,,,,,,, +,Corallodiscus lanuginosus,H.Ohba H.Kanai etc.,11124,19830807,Shemma,1800,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0207031.jpg,,,,,,,,,, +甜麻,Corchorus aestuans,刘淼等,A140128,20060815,安徽省,300,生于草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02227042.jpg,,,,,,,,,, +甜麻,Corchorus aestuans,郭成勇,20063-348-2,20060827,山东省,250,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02227033.jpg,,,,,,,,,, +甜麻,Corchorus aestuans,"Tsang,Wai-Tak",548,19270821,海南省,,at the side of Lo Tsuen,,无花无果,https://image.cvh.ac.cn/files/l/PE/01305647.jpg,,,,,,,,,, +黄麻,Corchorus capsularis,Kuang-Yuh Wang et al.,188,19940912,台湾省,30~80,On exposed river bank dry soil,,无花有果,https://image.cvh.ac.cn/files/l/PE/01555783.jpg,,,,,,,,,, +黄麻,Corchorus capsularis,C.W.Wang,80570,19361100,云南省 ,760,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0234788.jpg,,,,,,,,,, +黄麻,Corchorus capsularis,蒋英,7241,19300926,贵州省,166,by side of stream,,无花有果,https://image.cvh.ac.cn/files/l/PE/01330264.jpg,,,,,,,,,, +长蒴黄麻,Corchorus olitorius,谭泽民,84147,19840909,江西,,,,无花有果,https://image.cvh.ac.cn/files/l/SN/SN008453.jpg,,,,,,,,,, +长蒴黄麻,Corchorus olitorius,C.W.Wang,78863,19360900,云南省 ,800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0234837.jpg,,,,,,,,,, +长蒴黄麻,Corchorus olitorius,邢吉庆,23105,19800901,陕西省,400,,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH009633.jpg,,,,,,,,,, +破布木,Cordia dichotoma,"Tsang,W.T",563,19270822,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/138252084.jpg,,,,,,,,,, +破布木,Cordia dichotoma,,56776,0,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/86876.jpg,,,,,,,,,, +破布木,Cordia dichotoma,M. K. Li,1589,1939/12/21,云南,980,混交林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/247358.jpg,,,,,,,,,, +,Corispermum dutreuilii,杨赵平,周禧琳,贺冰等,LiZJ1374,20100815,新疆,1673,山前戈壁,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1244704.jpg,,,,,,,,,, +粗喙虫实,Corispermum dutreuilii,刘海源,209,19860912,新疆维吾尔自治区 ,1320,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/0223269.jpg,,,,,,,,,, +粗喙虫实,Corispermum dutreuilii,李发重,62,19720800,西藏自治区,4250,农田,,有花有果,https://image.cvh.ac.cn/files/l/PE/00540330.jpg,,,,,,,,,, +,Corispermum dutreuilii var. montanum,,,,,,,,,,,,,,,,,,, +,Corispermum gelidum,,,,,,,,,,,,,,,,,,, +,Corispermum nanum,"于胜祥,侯元同,张晓霞",5607,20110817,西藏自治区,,沿途路旁山旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099704.jpg,,,,,,,,,, +,Corispermum pamiricum,陈家辉,庄会富,刘德团,边巴扎西,YangYP-Q-0065,20080828,西藏,4264,沙质地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1244706.jpg,,,,,,,,,, +帕米尔虫实,Corispermum pamiricum,青藏队植被组,13656,19760828,西藏自治区,4360,湖滨沙滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086987.jpg,,,,,,,,,, +帕米尔虫实,Corispermum pamiricum,生物研究所西藏考察队,4408,19740920,青海省,2700,山前平地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01801972.jpg,,,,,,,,,, +毛果帕米尔虫实,Corispermum pamiricum var. pilocarpum,青藏队,73-12970,19760828,西藏自治区,4500,湖盆阶地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00541028.jpg,,,,,,,,,, +毛果帕米尔虫实,Corispermum pamiricum var. pilocarpum,青甘队,1371,19590812,青海省,3100,冲积扇,,有花有果,https://image.cvh.ac.cn/files/l/PE/00540420.jpg,,,,,,,,,, +,Corispermum pamiricum var. pilocarpum,李晖,文雪梅,次旺加布,李发平,Lihui-Q-0044,20080829,西藏,4353,荒漠化草原河滩地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1244745.jpg,,,,,,,,,, +藏虫实,Corispermum tibeticum,生物研究所西藏考察队,3978,74.08.18,新疆维吾尔自治区 ,3900,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00005843.jpg,,,,,,,,,, +藏虫实,Corispermum tibeticum,陈桂琛等,1070,19980704,甘肃省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/185883.jpg,,,,,,,,,, +,Corispermum tibeticum,齐威,LJQ-2008-GN-283,20080830,甘肃,3417,退化草甸/沙地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1244752.jpg,,,,,,,,,, +头状四照花,Cornus capitata,李巨平,LiJuPing0267,20090827,湖北,,亚热带落叶阔叶林中,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1334484.jpg,,,,,,,,,, +头状四照花,Cornus capitata,郭素白,80022,19340324,广东省,600,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0428747.jpg,,,,,,,,,, +烂杨梅,Cornus capitata,梁宝汉,84382,19430423,广东,330尺,山谷密林中,常绿乔木,无花有果,https://image.cvh.ac.cn/files/l/SN/SN006065.jpg,,,,,,,,,, +川鄂山茱萸,Cornus chinensis,王映明,5357,19880717,湖北省,1870,沟谷上部林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01608485.jpg,,,,,,,,,, +川鄂山茱萸,Cornus chinensis,"傅德志,陈淑荣,邵毅贞等",1524,20140421,四川省,1300~1600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021163.jpg,,,,,,,,,, +川鄂山茱萸,Cornus chinensis,张经炜,762,19730716,西藏自治区,2000,东北坡常绿阔叶林林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01803083.jpg,,,,,,,,,, +灯台树,Cornus controversa,张代贵,xm305,20090816,湖南湘西州,,林中,落叶乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU24660.jpg,,,,,,,,,, +,Cornus controversa,"张志松,闵天禄,许介眉等",400958,19640524,贵州省,950,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114504.jpg,,,,,,,,,, +,Cornus controversa,红水河植物考察队,591,19890430,广西壮族自治区,1000,常绿阔叶林沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01991934.jpg,,,,,,,,,, +红椋子,Cornus hemsleyi,H. T. Tsai,51003,19320604,云南省 ,2100,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00276329.jpg,,,,,,,,,, +,Cornus hemsleyi,杨光辉,23415,,四川,2750,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0241552.jpg,,,,,,,,,, +,Cornus hemsleyi,H.H.Chung,s.n.,19170830,,,栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/00893254.jpg,,,,,,,,,, +梾木,Cornus macrophylla,唐继伟,GZ20180625_6796,20180625,湖南,749,林中,落叶乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU41598.jpg,,,,,,,,,, +,Cornus macrophylla,贺贤育,22233,19570611,浙江省,,山坡、林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00893369.jpg,,,,,,,,,, +,Cornus macrophylla,236-2队,830,19750819,江苏省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00893339.jpg,,,,,,,,,, +,Cornus macrophylla var. stracheyi,姚淦等,3869,19901008,西藏自治区,3200,山坡灌丛,灌丛,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00001894.jpg,,,,,,,,,, +山茱萸属,Cornus macrophylla var. stracheyi,倪志诚,183,19830505,西藏,2100,山坡常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0005134.jpg,,,,,,,,,, +长圆叶梾木,Cornus oblonga,"张大才, 李双智, 杨川等",ZhangDC-07ZX-2049,20101003,云南,,沟边,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1334688.jpg,,,,,,,,,, +,Cornus oblonga,"李渤生,倪志诚,程树志",6456,19830814,西藏自治区,2200,林下时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01810876.jpg,,,,,,,,,, +,Cornus oblonga,,10709,19380706,湖南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0064005.jpg,,,,,,,,,, +无毛长圆叶梾木,Cornus oblonga var. glabrescens,向春雷,刘恩德,李艳春,578,20130503,云南省,1472,"roadside,sunny area",,无花有果,https://image.cvh.ac.cn/files/l/KUN/1241686.jpg,,,,,,,,,, +无毛长圆叶梾木,Cornus oblonga var. glabrescens,Y.Tsiang,11914,19330911,云南省 ,2500,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00045808.jpg,,,,,,,,,, +,Cornus oblonga var. glabrescens,T. T. Yu,20556,1938/10/7,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00075381.jpg,,,,,,,,,, +毛叶梾木,Cornus oblonga var. griffithii,Wang et Chang et Chen,D-0355,19840820,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0003661.jpg,,,,,,,,,, +,Cornus oblonga var. griffithii,青藏队,6501,19820517,云南省,1780,山坡、杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00893784.jpg,,,,,,,,,, +,Cornus oblonga var. griffithii,李渤生等,6902,19830827,西藏自治区,2300~2400,河谷、林中多见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00893799.jpg,,,,,,,,,, +,Cornus schindleri,李馨,76226,19570829,重庆市,2800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00894078.jpg,,,,,,,,,, +,Cornus schindleri,serre,9537,19300719,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00024194.jpg,,,,,,,,,, +,Cornus schindleri,张志英,17061,19630928,甘肃省,1700,山坡、路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00894123.jpg,,,,,,,,,, +,Cornus schindleri subsp. poliophylla,杨光辉,59334,19580825,重庆市,1700~2000,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00894156.jpg,,,,,,,,,, +,Cornus schindleri subsp. poliophylla,神农架队,21362,19760708,湖北省,1700,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/00894150.jpg,,,,,,,,,, +灰叶梾木,Cornus schindleri subsp. poliophylla,武隆队,500232-028,20120519,重庆,570,林缘石壁上,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0085445.jpg,,,,,,,,,, +,Cornus sunhangii,H. Sun et al.(孙航等),19991,20181006,西藏,1988,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1347138.jpg,,,,,,,,,, +卷毛梾木,Cornus ulotricha,康定队,782,19800830,四川,,荒山灌木丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM715100371.jpg,,,,,,,,,, +梾木,Cornus ulotricha,,190,19750921,西藏,3200,灌木林中,小乔木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM715100420.jpg,,,,,,,,,, +,Cornus ulotricha,王作宾,14774,19510811,甘肃省,2400,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00894189.jpg,,,,,,,,,, +宽叶栓果芹,Cortiella caespitosa,西藏生物所植物组,194,19880728,西藏自治区,4660,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0005063.jpg,,,,,,,,,, +宽叶栓果芹,Cortiella caespitosa,陈晓澄、肖洒,7768,20150804,青海,4096,裸岩灌丛、草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00024629.jpg,,,,,,,,,, +宽叶栓果芹,Cortiella caespitosa,陈晓澄、肖洒等人,10679,20160818,青海省,4476,裸岩下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00016434.jpg,,,,,,,,,, +波斯菊,Cosmos bipinnatus,胡文光,11323,19511007,四川省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/HGAS/027798.jpg,,,,,,,,,, +秋英,Cosmos bipinnatus,,BJTC024531,,北京市,59~56,,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC024531.jpg,,,,,,,,,, +秋英,Cosmos bipinnatus,张勇,RQSB02931,20141004,宁夏回族自治区,1105,花园,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0135015.jpg,,,,,,,,,, +南方山芫荽,Cotula australis,黄卫昌、肖月娥、胡超、王正伟,WZW08828,20151201,,1757,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0110629.jpg,,,,,,,,,, +山芫荽,Cotula hemisphaerica,T.P.Wang,10367,19390428,重庆市,125,sandy place,,有花有果,https://image.cvh.ac.cn/files/l/PE/00608374.jpg,,,,,,,,,, +山芫荽,Cotula hemisphaerica,谭策铭,易桂花,谭英,韦飞,12118,20120407,江西省,20,湖滨草洲,跨年至一年生草本,有花有果,https://image.cvh.ac.cn/files/l/JJF/JJF00028745.jpg,,,,,,,,,, +山芫荽,Cotula hemisphaerica,,5586,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00608381.jpg,,,,,,,,,, +杯药草,Cotylanthera paucisquama,吴征镒,5409,19760901,西藏自治区,0,常绿阔叶林下腐殖质中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/550266.jpg,,,,,,,,,, +杯药草,Cotylanthera paucisquama,孟连调查队,9808,19730707,陕西,0,林下腐叶中寄生,,有花无果,https://image.cvh.ac.cn/files/l/KUN/550261.jpg,,,,,,,,,, +杯药草,Cotylanthera paucisquama,,95180,19570714,四川省,1650,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00047564.jpg,,,,,,,,,, +穗花刺头菊,Cousinia falconeri,王富葆,516,19760714,西藏自治区,0~4000,,,有花无果,https://image.cvh.ac.cn/files/l/N/280160147.jpg,,,,,,,,,, +穗花刺头菊,Cousinia falconeri,青藏队,870099,19870623,新疆维吾尔自治区,3120,山坡砾石,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1204285.jpg,,,,,,,,,, +毛苞刺头菊,Cousinia thomsonii,生物研究所西藏考察队,3974,1974818,,3900,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022863.jpg,,,,,,,,,, +毛苞刺头菊,Cousinia thomsonii,青藏队,8456,19760714,西藏自治区,3900,河滩碎石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0049737.jpg,,,,,,,,,, +毛苞刺头菊,Cousinia thomsonii,生物研究所西藏考察队,3974,1974.8.1,新疆维吾尔自治区 ,3900,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042425.jpg,,,,,,,,,, +柳叶金叶子,Craibiodendron henryi,A. Henry / Forrest,13137/9434,,云南; Yunnan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00109174.jpg,,,,,,,,,, +柳叶金叶子,Craibiodendron henryi,780队,679,19781203,云南省,2100,林缘,,无花有果,https://image.cvh.ac.cn/files/l/SXU/SD00018969.jpg,,,,,,,,,, +,Craibiodendron henryi,A. Henry,13137,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00014804.jpg,,,,,,,,,, +云南金叶子,Craibiodendron yunnanense,George Forrest,8361,1912,E. Tibet and S.W. Ch,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00109197.jpg,,,,,,,,,, +云南假木荷,Craibiodendron yunnanense,钱旭飞,20182853,20180425,贵州省,495,路边草丛,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0030800.jpg,,,,,,,,,, +云南金叶子,Craibiodendron yunnanense,麻栗坡普查队,5326240540,20151024,云南省,1328.7,阔叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0039848.jpg,,,,,,,,,, +,Craigia yunnanensis,,3.81,193008,,1500,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00050369.jpg,,,,,,,,,, +滇桐,Craigia yunnanensis,K.M.Feng,12932,19471106,云南省,1400~1600,in mixed forests,,无花有果,https://image.cvh.ac.cn/files/l/PE/01330332.jpg,,,,,,,,,, +滇桐,Craigia yunnanensis,Kweichow Exped,7042,19300909,贵州省,500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0234804.jpg,,,,,,,,,, +,Craniotome furcata,"Henry, A.",9162,,,,,,,https://image.cvh.ac.cn/files/l/E/E00275351.jpg,,,,,,,,,, +簇序草,Craniotome furcata,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13903,20161013,四川,2029,林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1459054.jpg,,,,,,,,,, +簇序草,Craniotome furcata,汪永泽等,1566,19800909,西藏,2250,山坡杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820691.jpg,,,,,,,,,, +野茼蒿,Crassocephalum crepidioides,杨龙,93-619,19931109,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0006454.jpg,,,,,,,,,, +,Crassocephalum crepidioides,k.kayama,5621,19910220,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01709210.jpg,,,,,,,,,, +野茼蒿,Crassocephalum crepidioides,韦春强、李象钦,RQXN07940,20160113,广西省,33.6,路边,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0125942.jpg,,,,,,,,,, +沙梨木,Crateva magna,德保县普查队,451024170506005LY,20170506,广西壮族自治区,639,其它,路旁,黄棕壤,偶见栽培,乔木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00409255.jpg,,,,,,,,,, +大果鱼木,Crateva magna,海南工作站,1118,19600707,海南,50,山地,乔木,有果无花,https://image.cvh.ac.cn/files/l/BJM/0157243.jpg,,,,,,,,,, +鱼木,Crateva magna,中山大学生物系标本厂,20,19580826,广东,,,乔木,有果有花,https://image.cvh.ac.cn/files/l/BJM/0157244.jpg,,,,,,,,,, +大花蔓龙胆,Crawfurdia angustata,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,1059,20121020,西藏,,林缘,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230404.jpg,,,,,,,,,, +大花蔓龙胆,Crawfurdia angustata,H. T. Tsai,54498,1933/10/20,云 南,1800,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0039212.jpg,,,,,,,,,, +大花蔓龙胆,Crawfurdia angustata,蔡希陶,54498,19331029,云南省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00047565.jpg,,,,,,,,,, +,Crawfurdia arunachalensis,,,,,,,,,,,,,,,,,,, +云南蔓龙胆,Crawfurdia campanulacea,H.T.Tsai,58564,19340912,,3200,,climbing herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0040885.jpg,,,,,,,,,, +云南蔓龙胆,Crawfurdia campanulacea,赵清盛,何明友,122628,19831106,四川省,1150,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00047566.jpg,,,,,,,,,, +云南蔓龙胆,Crawfurdia campanulacea,威宁队,522427140925525LY,20140925,贵州省,2230.4,野生植物、中温、中生、耐阴、草丛,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0046233.jpg,,,,,,,,,, +,Crawfurdia crawfurdioides var. iochroa,"Forrest, George",18974,19-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00001639.jpg,,,,,,,,,, +根茎蔓龙胆,Crawfurdia crawfurdioides var. iochroa,王启无,67482,19351000,云南省,1700,Grassy slope thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/01542003.jpg,,,,,,,,,, +半侧蔓龙胆,Crawfurdia dimidiata,王启无,2589,0,云南,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/550402.jpg,,,,,,,,,, +半侧蔓龙胆,Crawfurdia dimidiata,K.M.Feng,Feng 7891,19400920,云南省,3600,竹箐中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01542019.jpg,,,,,,,,,, +半侧蔓龙胆,Crawfurdia dimidiata,方震东、和光、杨亲二,XZ-565,20071004,西藏自治区,2462,油麦吊云杉/光叶高山栎林,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003044.jpg,,,,,,,,,, +毛叶蔓龙胆,Crawfurdia puberula,青藏补点组,1804,19750902,西藏自治区,3200,林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/550432.jpg,,,,,,,,,, +穗序蔓龙胆,Crawfurdia speciosa,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,955,20121018,西藏,,路边,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230403.jpg,,,,,,,,,, +,Crawfurdia speciosa,"Kingdon-Ward, Francis",6234,21-Oct-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00001646.jpg,,,,,,,,,, +穗序蔓龙胆,Crawfurdia speciosa,方震东、和光,XZ-411,20070927,西藏自治区,3120,铁杉/高山栎林,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003045.jpg,,,,,,,,,, +四川蔓龙胆,Crawfurdia thibetica,鞠文彬,陈德奎,AZH00639,20151103,四川,1795,公路边荒地,缠绕藤本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0237124.jpg,,,,,,,,,, +四川蔓龙胆,Crawfurdia thibetica,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,833,20121016,西藏,,高山灌丛中,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230399.jpg,,,,,,,,,, +四川蔓龙胆,Crawfurdia thibetica,赵振锯,师进斌,范德刚,115425,19810914,四川省,3200,,藤本,无花有果,https://image.cvh.ac.cn/files/l/CQNM/0007739.jpg,,,,,,,,,, +宽舌垂头菊,Cremanthodium arnicoides,青藏队,7201,19750804,西藏自治区,4600,山坡流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570587.jpg,,,,,,,,,, +宽舌垂头菊,Cremanthodium arnicoides,魏来、郝加琛,15317,20150727,西藏,3977,山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0026038.jpg,,,,,,,,,, +黑垂头菊,Cremanthodium atrocapitatum,杨竞生,318,19880829,云南省,4400,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0049934.jpg,,,,,,,,,, +不丹垂头菊,Cremanthodium bhutanicum,刘尚武,3493,19880819,西藏,4500,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028363.jpg,,,,,,,,,, +不丹垂头菊,Cremanthodium bhutanicum,青藏队植被组,2674,19740810,西藏自治区,4300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01581322.jpg,,,,,,,,,, +不丹垂头菊,Cremanthodium bhutanicum,方震东、刘琳、李红、和光、史小武、赵卫东、陈洁,K-2156,20020927,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 007253.jpg,,,,,,,,,, +,Cremanthodium bomiense,,,,,,,,,,,,,,,,,,, +钟花垂头菊,Cremanthodium campanulatum,李沛琼,王国栋,曾志华,5614,20060210,广东省,80,丘陵路旁,直立草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00044258.jpg,,,,,,,,,, +,Cremanthodium campanulatum,王乾、顾健,SCW1242,20190811,四川,4500,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0266910.jpg,,,,,,,,,, +钟花垂头菊,Cremanthodium campanulatum,,9935,19210800,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/280160156.jpg,,,,,,,,,, +,Cremanthodium decaisnei,J.F.Duthie,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU050208.jpg,,,,,,,,,, +喜马拉雅垂头菊,Cremanthodium decaisnei,,58001,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00488235.jpg,,,,,,,,,, +喜马拉雅垂头菊,Cremanthodium decaisnei,汤宗孝,602,19810715,云南,4550,高山草甸山坡水沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01830908.jpg,,,,,,,,,, +盘花垂头菊,Cremanthodium discoideum,"陈伟烈,陈家瑞,郭柯等",6897,19840628,四川,3400,山谷草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01831452.jpg,,,,,,,,,, +盘花垂头菊,Cremanthodium discoideum,青藏队,6731,19750809,西藏自治区,5350,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/49452.jpg,,,,,,,,,, +盘花垂头菊,Cremanthodium discoideum,四川经济植物考察队,15156,1977-7 1,四川省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0145863.jpg,,,,,,,,,, +车前状垂头菊,Cremanthodium ellisii,"李渤生,郑度,张百平",11155,19870820,新疆维吾尔自治区,5300~5400,高山河滩草甸局部优势,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570829.jpg,,,,,,,,,, +车前状垂头菊,Cremanthodium ellisii,王启无,69512,193509,云南省,3400,Mountain slope water side,,有花无果,https://image.cvh.ac.cn/files/l/KUN/732901.jpg,,,,,,,,,, +祁连垂头菊变种,Cremanthodium ellisii,黄荣福,2487,19910714,甘肃,3300-3600,高山灌丛草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028355.jpg,,,,,,,,,, +祁连垂头菊,Cremanthodium ellisii var. ramosum,陶德定,11146,19760902,西藏自治区,4600~4800,高山石滩下灌丛草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570876.jpg,,,,,,,,,, +祁连垂头菊变种,Cremanthodium ellisii var. ramosum,黄荣福,2487,19910714,甘肃,3300-3600,高山灌丛草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028355.jpg,,,,,,,,,, +祁连垂头菊,Cremanthodium ellisii var. ramosum,Harry Smith,12108,19340913,四川省,3900,in prato humido,,有花有果,https://image.cvh.ac.cn/files/l/PE/00570875.jpg,,,,,,,,,, +,Cremanthodium farreri,George Forrest,26911,1925,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU050223.jpg,,,,,,,,,, +红花垂头菊,Cremanthodium farreri,,58024,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00488244.jpg,,,,,,,,,, +红花垂头菊,Cremanthodium farreri,方震东,3382,19930817,云南省,3600,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 002777.jpg,,,,,,,,,, +向日垂头菊,Cremanthodium helianthus,四川药源普查队,25406,19600817,四川省,4500,阴坡林下,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00488249.jpg,,,,,,,,,, +向日垂头菊,Cremanthodium helianthus,,,19680824,云南省,3800,,草本,,https://image.cvh.ac.cn/files/l/HITBC/0019210.jpg,,,,,,,,,, +向日垂头菊,Cremanthodium helianthus,G.Forrest,10391,19130700,云南,3333~4000,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01831197.jpg,,,,,,,,,, +,Cremanthodium indicum,,,,,,,,,,,,,,,,,,, +,Cremanthodium medogense,FLPH Tibet Expedition,12-1728,20120919,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967095.jpg,,,,,,,,,, +小垂头菊,Cremanthodium nanum,T.T.Yu,9320,19370730,云南,4200,Rocky hill,,有花有果,https://image.cvh.ac.cn/files/l/PE/01831191.jpg,,,,,,,,,, +小垂头菊,Cremanthodium nanum,吴玉虎,22262,20020708,青海省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/199884.jpg,,,,,,,,,, +小垂头菊,Cremanthodium nanum,四川药源普查队,20204,19600802,四川省,4200,岩石内,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00488259.jpg,,,,,,,,,, +尼泊尔垂头菊,Cremanthodium nepalense,中日考察队,T878,19900521,西藏自治区,2700,河谷路边林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571058.jpg,,,,,,,,,, +,Cremanthodium oblongatum,青藏队,76-8267,19760722,西藏自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/57509.jpg,,,,,,,,,, +矩叶垂头菊,Cremanthodium oblongatum,,,0,云南省,4000,,草本,,https://image.cvh.ac.cn/files/l/HITBC/0019216.jpg,,,,,,,,,, +矩叶垂头菊,Cremanthodium oblongatum,青藏队,3917,19810806,四川省,4700,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111063.jpg,,,,,,,,,, +,Cremanthodium palmatum,"Forrest, George",2665,6-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00413169.jpg,,,,,,,,,, +,Cremanthodium palmatum,George Forrest,6418,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01694780.jpg,,,,,,,,,, +掌叶垂头菊,Cremanthodium palmatum,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1895,20130823,西藏自治区,4000,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992473.jpg,,,,,,,,,, +长柄垂头菊,Cremanthodium petiolatum,FLPH Tibet Expedition,12-0430,20120911,西藏自治区,5100,流石滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967115.jpg,,,,,,,,,, +长柄垂头菊,Cremanthodium petiolatum,George Forrest,28988,19300000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571087.jpg,,,,,,,,,, +羽裂垂头菊,Cremanthodium pinnatifidum,方震东、刘琳、李红、和光、史小武、赵卫东、陈洁,K-2173,20020927,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 007254.jpg,,,,,,,,,, +裂叶垂头菊,Cremanthodium pinnatisectum,T.T.Yu,19783,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571094.jpg,,,,,,,,,, +裂叶垂头菊,Cremanthodium pinnatisectum,陈又生,9784,20090911,西藏自治区,4241,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052609.jpg,,,,,,,,,, +裂叶垂头菊,Cremanthodium pinnatisectum,刀志灵;蔡磊;杨静;张品;杨佳俊;姚刚;葛佳,KIBDZL052B05,20171017,云南,3100,铁杉、石栎针叶阔叶混交林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1561833.jpg,,,,,,,,,, +无毛垂头菊,Cremanthodium pseudo-oblongatum,,44-7104,19750704,西藏自治区,530,石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532121.jpg,,,,,,,,,, +无毛垂头菊,Cremanthodium pseudo-oblongatum,西藏植物,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571142.jpg,,,,,,,,,, +紫叶垂头菊,Cremanthodium purpureifolium,青藏队植被组,5638,19750729,西藏自治区,4900,东侧山坡 流石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01532115.jpg,,,,,,,,,, +紫叶垂头菊,Cremanthodium purpureifolium,魏来、何毅,BNUXZ2016171,20160718,西藏,5100,山坡流石滩,,,https://image.cvh.ac.cn/files/l/BNU/0028175.jpg,,,,,,,,,, +垂头菊,Cremanthodium reniforme,赵,6489,19780807,四川,4800,沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0004267.jpg,,,,,,,,,, +垂头菊,Cremanthodium reniforme,Gaoligong Shan Biodiversity Survey,26420,20050805,云南省,3640,Growing in wet meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01688175.jpg,,,,,,,,,, +垂头菊,Cremanthodium reniforme,杨永昌,1248,19650721,青海省,5100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/12855.jpg,,,,,,,,,, +紫茎垂头菊,Cremanthodium smithianum,何廷农,1351,19891013,云南,4300,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028359.jpg,,,,,,,,,, +紫茎垂头菊,Cremanthodium smithianum,George Forrest,6613,191009,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU050210.jpg,,,,,,,,,, +紫茎垂头菊,Cremanthodium smithianum,张代贵,80826018,20120817,湖北神农架,,草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU38191.jpg,,,,,,,,,, +叉舌垂头菊,Cremanthodium thomsonii,郭本兆 王为义,23227,19770830,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/67868.jpg,,,,,,,,,, +叉舌垂头菊,Cremanthodium thomsonii,T.T.Yu,19775,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571221.jpg,,,,,,,,,, +叉舌垂头菊,Cremanthodium thomsonii,刘尚武,3478,19880819,西藏,4500,阴坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00028358.jpg,,,,,,,,,, +,Crepidiastrum diversifolium,彭禄,pl2011072601-7,20110730,四川,,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0246914.jpg,,,,,,,,,, +,Crepidiastrum diversifolium,彭禄,pl2011072605,20110901,新疆,,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0247326.jpg,,,,,,,,,, +细叶假还阳参,Crepidiastrum tenuifolium,张重岭,440,20130730,内蒙古自治区,881.2,干旱荒山坡,,有花无果,https://image.cvh.ac.cn/files/l/YAK/0001277.jpg,,,,,,,,,, +,Crepidiastrum tenuifolium,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13268,20160821,新疆,1788,碎石坡灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1444231.jpg,,,,,,,,,, +,Crepis bodinieri,"Maire, E.E.",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00413051.jpg,,,,,,,,,, +果山还阳参,Crepis bodinieri,"倪志诚,汪永泽,次多,次旦",230,19800626,西藏自治区,2400,山坡灌丛林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01565614.jpg,,,,,,,,,, +果山还阳参,Crepis bodinieri,,3468,19611026,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/041121.jpg,,,,,,,,,, +腋花须弥芥,Crucihimalaya axillaris,"张永田,郞楷永",3321,19660512,西藏自治区,2500,山沟,水边岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01005465.jpg,,,,,,,,,, +须弥芥,Crucihimalaya himalaica,高信芬、朱章明、鞠文彬、金伟涛,13719,20110716,西藏,4040,田地边,一年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0222644.jpg,,,,,,,,,, +须弥芥,Crucihimalaya himalaica,Anonymous,75-765,19750722,云南省,3600,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995557.jpg,,,,,,,,,, +须弥芥,Crucihimalaya himalaica,高信芬、朱章明、鞠文彬、金伟涛,13459,20110709,云南,4300-4350,高山灌丛草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0229906.jpg,,,,,,,,,, +毛果须弥芥,Crucihimalaya lasiocarpa,四川省植被调查队,2043,19730712,四川省,3300,公路旁草坡,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01005489.jpg,,,,,,,,,, +毛果须弥芥,Crucihimalaya lasiocarpa,"D.E.BouffORD,L.Y.Chen,X.H.Li et J.R.Shevock",42082,20100719,云南省,2725~2750,In openings in thickets and at margin of Pinus forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892692.jpg,,,,,,,,,, +毛果须弥芥,Crucihimalaya lasiocarpa,Anonymous,20240087,20020816,,3990,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995555.jpg,,,,,,,,,, +柔毛须弥芥,Crucihimalaya mollissima,Sino-Russian Altai Expedition,SRAE20040130,20040000,新疆维吾尔自治区,1500,Rocky steppe slopes at the left bank,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766987.jpg,,,,,,,,,, +柔毛须弥芥,Crucihimalaya mollissima,武素功,费勇等,4989,19890815,新疆维吾尔自治区 ,4300,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0497459.jpg,,,,,,,,,, +柔毛须弥芥,Crucihimalaya mollissima,青藏队,76-8046,19760621,西藏自治区,4600,河谷,砂砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01005494.jpg,,,,,,,,,, +,Crucihimalaya stricta,,,,,,,,,,,,,,,,,,, +,Crucihimalaya tibetica,,,,,,,,,,,,,,,,,,, +,Crucihimalaya wallichii,,,,,,,,,,,,,,,,,,, +,Cryptolepis buchananii,"Cavalerie, Pierre Julien",2643,5-Nov,,,,,,https://image.cvh.ac.cn/files/l/E/E00284976.jpg,,,,,,,,,, +断肠草,Cryptolepis buchananii,曾宪锋,ZXF33412,20171013,福建省,670,山地、疏林,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0028705.jpg,,,,,,,,,, +断肠草,Cryptolepis buchananii,曾宪锋,ZXF52996,20191012,广东,650,山地林中,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0046871.jpg,,,,,,,,,, +白叶藤,Cryptolepis sinensis,Chiu-Mei Wang(王秋美),3979,19991126,台湾,280,On roadside of boardleaf forest,woody vine,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00613815.jpg,,,,,,,,,, +,Cryptolepis sinensis,"Hance, H.F.",10576,1870-6,,,,,,https://image.cvh.ac.cn/files/l/P/P00647645.jpg,,,,,,,,,, +白叶藤,Cryptolepis sinensis,"张淑红,罗家祥",C340432,20180425,云南,570,"C34,引种号:00,2002,1564",藤本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026207.jpg,,,,,,,,,, +鸭儿芹,Cryptotaenia japonica,邢吉庆,20303,19630922,甘肃省,1620,山沟,水旁,草本,无花有果,https://image.cvh.ac.cn/files/l/XBGH/XBGH010908.jpg,,,,,,,,,, +鸭儿芹,Cryptotaenia japonica,肖佳伟,ZZ150531617,20150531,江西吉安,,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU58617.jpg,,,,,,,,,, +深裂鸭儿芹,Cryptotaenia japonica,,50043,19310000,贵州省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0438571.jpg,,,,,,,,,, +杯花菟丝子,Cuscuta approximata,刘全儒,RQSB09434,20160727,黑龙江省,155,灌木,藤本,,https://image.cvh.ac.cn/files/l/BNU/0026344.jpg,,,,,,,,,, +,Cuscuta approximata,W.Bogdan,s.n.,19040823,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00112995.jpg,,,,,,,,,, +杯花菟丝子,Cuscuta approximata,朱鑫鑫、陈彬、沈彬、宋以刚,CSH07210,20140803,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0037652.jpg,,,,,,,,,, +南方菟丝子,Cuscuta australis,中国科学院植物研究所黄河调查队,7969,19560914,宁夏回族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00113007.jpg,,,,,,,,,, +南方菟丝子,Cuscuta australis,李恩香、蔡奇英等,L2015070199,20150718,江西省,200~500,,,无花无果,https://image.cvh.ac.cn/files/l/JXU/JXU0008515.jpg,,,,,,,,,, +南方菟丝子,Cuscuta australis,李杰,5222291606091183LY,20160609,贵州省,453,野生植物、酸性土、中生、草丛、阳性、中温,一年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0049784.jpg,,,,,,,,,, +菟丝子,Cuscuta chinensis,无,,,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/FJSI/FJSI028388.jpg,,,,,,,,,, +菟丝子,Cuscuta chinensis,张勇,RQSB02755,20140628,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0136795.jpg,,,,,,,,,, +菟丝子,Cuscuta chinensis,张代贵,YD270008,20170709,湖南湘西州,,草丛中,藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU40858.jpg,,,,,,,,,, +欧洲菟丝子,Cuscuta europaea,齐淑艳,RQSB04267,20150824,辽宁省,62,路旁荒地,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0130731.jpg,,,,,,,,,, +欧洲菟丝子,Cuscuta europaea,,10929,59.07.10,新疆维吾尔自治区 ,1000,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00030893.jpg,,,,,,,,,, +欧洲菟丝子,Cuscuta europaea,"孙航, 李新辉, 陈林杨, 陈建国|1646, 朱鑫鑫|30, 彭德力|1759, 陈光富, 欧阳铖",SunH-07ZX-3211,20101001,云南,,"Shrub beside a brook, Slope near water.",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1382301.jpg,,,,,,,,,, +高大菟丝子,Cuscuta gigantea,"李渤生,李辉",14075,19901008,西藏自治区,2200~2600,常绿阔叶林缘时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196339.jpg,,,,,,,,,, +高大菟丝子,Cuscuta gigantea,程堂仁,张强英,郭治友等,H-黔三都-Z-0268,20101005,贵州,901,土山,藤本,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00073475.jpg,,,,,,,,,, +金灯藤,Cuscuta japonica,G.D.Wilder,,19260828,江苏省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/137249174.jpg,,,,,,,,,, +金灯藤,Cuscuta japonica,T.N. Liou,2601,1931/7/9,新疆维吾尔族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0012329.jpg,,,,,,,,,, +金灯藤,Cuscuta japonica,邢吉庆,21115,19640916,甘肃省,1150,山沟阴处,灌木丛中,藤本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH012291.jpg,,,,,,,,,, +大花菟丝子,Cuscuta reflexa,李渤生等,13377,19900901,西藏自治区,2400~3100,乔松林下草本植物上时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00113899.jpg,,,,,,,,,, +,Cuscuta reflexa,Dr.Heinr.Frh.v.Handel-Mazzetti,1607,19151019,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00210875.jpg,,,,,,,,,, +,Cuscuta reflexa,张永田,78081,19781016,云南省,2000,寄生于灌木上,肉质藤本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/003791.jpg,,,,,,,,,, +心叶蓝钟花,Cyananthus cordifolius,"周卓,李彦波,孙露,张成,阳亿",ZJW-3737,20150905,西藏自治区,4160,高山流石滩,,,https://image.cvh.ac.cn/files/l/KUN/1275047.jpg,,,,,,,,,, +心叶蓝钟花,Cyananthus cordifolius,J.F.DUTHIE,5730,19860728,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031422.jpg,,,,,,,,,, +,Cyananthus delavayi,中美联合云南考察队,1139,19840718,云南省,3300~2900,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/171455.jpg,,,,,,,,,, +细叶蓝钟花,Cyananthus delavayi,四川植被队,11717,Oct-76,四川省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0174161.jpg,,,,,,,,,, +细叶蓝钟花,Cyananthus delavayi,张桥蓉,蒋婷,李国辉,王昆仑,ZhangYH132,20191125,云南,2221,林缘,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1488819.jpg,,,,,,,,,, +蓝钟花,Cyananthus hookeri,鞠文彬,郑臣臣,THP-KD-5458,20170806,四川,4334,草地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252021.jpg,,,,,,,,,, +光蓝钟花,Cyananthus hookeri,王启无,70134,1935/9/26,云南,2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0036604.jpg,,,,,,,,,, +,Cyananthus hookeri,J.F.Rock,13725,19251000,甘肃省,3812,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0525692.jpg,,,,,,,,,, +,Cyananthus incanus,,7551,0,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/171727.jpg,,,,,,,,,, +,Cyananthus incanus,"Delavay, J.M.",136,1884-8-4,,,,,,https://image.cvh.ac.cn/files/l/P/P00237855.jpg,,,,,,,,,, +灰毛蓝钟花,Cyananthus incanus,H.T.Tsai,53961,19330731,云南省 ,4000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0525709.jpg,,,,,,,,,, +,Cyananthus inflatus,张英伯,546,19401030,云南省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0525741.jpg,,,,,,,,,, +,Cyananthus inflatus,蒋兴麐,熊济华,96564,19530809,四川省,3900,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0525743.jpg,,,,,,,,,, +胀萼蓝钟花,Cyananthus inflatus,王明川,GYZ201410280018,20141028,贵州,,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0004116.jpg,,,,,,,,,, +,Cyananthus ligulosus,"陈又生,张树仁,于胜祥等",491,20111113,西藏自治区,3809,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01961357.jpg,,,,,,,,,, +,Cyananthus lobatus,高信芬、朱章明、鞠文彬、金伟涛,14285,20110722,西藏,3833,山坡草地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0222192.jpg,,,,,,,,,, +裂叶蓝钟花,Cyananthus lobatus,蔡希陶,58099,19340822,云南省,4000,top of Pi-lo Shan,,有花无果,https://image.cvh.ac.cn/files/l/KUN/171860.jpg,,,,,,,,,, +裂叶蓝钟花,Cyananthus lobatus,西藏生物所植物资源队,3408,19830728,西藏自治区,4260,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0007596.jpg,,,,,,,,,, +小叶蓝钟花,Cyananthus microphyllus,李帅等,20167329,20160723,西藏自治区,4182,草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0030646.jpg,,,,,,,,,, +小叶蓝钟花,Cyananthus microphyllus,刘琳,和凤光,zhwy-129,20090828,云南省,3378,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005221.jpg,,,,,,,,,, +小叶蓝钟花,Cyananthus microphyllus,高信芬、朱章明、鞠文彬、金伟涛,14607,20110727,西藏,3770,山坡草地,多年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0224200.jpg,,,,,,,,,, +有梗蓝钟花,Cyananthus pedunculatus,陈晓澄等,6034,20140806,西藏,3312,灌木林山阳坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023992.jpg,,,,,,,,,, +有梗蓝钟花,Cyananthus pedunculatus,倪志诚 汪永泽 次多 次旦,2046,19810907,西藏自治区,4100,高山草甸中,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0007565.jpg,,,,,,,,,, +杂毛蓝钟花,Cyananthus sherriffii,"周卓,李彦波,孙露,张成,阳亿",ZJW-4055,20150913,西藏自治区,4436,杜鹃林,高山灌丛,,,https://image.cvh.ac.cn/files/l/KUN/1275608.jpg,,,,,,,,,, +,Cyananthus wardii,,,,,,,,,,,,,,,,,,, +夜香牛,Cyanthillium cinereum,BNUZ19-04,107,20210422,广东,20m,草地,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0054533.jpg,,,,,,,,,, +,Cyanthillium cinereum,"Cavalerie, J.",3304,7-Apr,,,,,,https://image.cvh.ac.cn/files/l/E/E00413323.jpg,,,,,,,,,, +夜香牛,Cyanthillium cinereum,胡建湘,C420265,20120117,云南省,570,土著植物就地保护区,草本,,https://image.cvh.ac.cn/files/l/HITBC/0023044.jpg,,,,,,,,,, +头花杯苋,Cyathula capitata,"刘成, 张挺, 亚吉东",18CS17464,20180911,西藏,1746,路边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486226.jpg,,,,,,,,,, +头花杯苋,Cyathula capitata,赵佐成,2132,19931004,四川省,2080,路边阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01842713.jpg,,,,,,,,,, +头花杯苋,Cyathula capitata,于胜祥、张晓霞、周洪志、等,451031130805015LY,20130805,广西,1430,灌丛,林缘,红壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0192888.jpg,,,,,,,,,, +川牛膝,Cyathula officinalis,张代贵、王业清、朱小琴,2180,20170820,湖北宜昌,1819,阔叶林边灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE07223.jpg,,,,,,,,,, +川牛膝,Cyathula officinalis,,50,19580920,福建,,,,无花无果,https://image.cvh.ac.cn/files/l/FJIDC/FJIDC003368.jpg,,,,,,,,,, +川牛膝,Cyathula officinalis,H.T.Tsai,54630,19330923,云南省 ,1500,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0190966.jpg,,,,,,,,,, +,Cyathula prostrata,鲁艳,07-164,20071030,云南,1600,路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1246016.jpg,,,,,,,,,, +杯苋,Cyathula prostrata,Shu-Mei Liu et al.,72,19951205,台湾省,200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01568154.jpg,,,,,,,,,, +杯苋,Cyathula prostrata,中苏队,2238,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0191078.jpg,,,,,,,,,, +绒毛杯苋,Cyathula tomentosa,"李渤生,李辉,阳艺",13282,19900830,西藏自治区,2000,林间阴湿处多见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01487650.jpg,,,,,,,,,, +绒毛杯苋,Cyathula tomentosa,马元俊,2140,19750802,湖北省,1000,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0120176.jpg,,,,,,,,,, +绒毛杯苋,Cyathula tomentosa,杨光辉,57355,1957/9/9,四川,1700,,草本,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00064034.jpg,,,,,,,,,, +小叶轮钟草,Cyclocodon celebicus,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11845,20161112,西藏,961,路边灌草丛,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444943.jpg,,,,,,,,,, +小叶轮钟草,Cyclocodon celebicus,蔡杰、郭云刚、张凤琼、李梅娟、李昌洪,14CS9702,20141105,云南,1424,路边灌丛,半灌木,,https://image.cvh.ac.cn/files/l/KUN/1399462.jpg,,,,,,,,,, +,Cyclocodon celebicus,Rahmat Si Boeea,9104,19360615,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01361990.jpg,,,,,,,,,, +轮钟花,Cyclocodon lancifolius,杨筑筑,黄汉东,张银,覃必伍,55,20190910,湖南,396,山坡林缘路边溪沟,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0207077.jpg,,,,,,,,,, +长叶轮钟草,Cyclocodon lancifolius,植物DNA条形码 滇东南考察队,GBOWS672,20100112,云南省,1596,路边山坡,林缘,,,https://image.cvh.ac.cn/files/l/KUN/1278508.jpg,,,,,,,,,, +长叶轮钟草,Cyclocodon lancifolius,苏享修,CFH09010728,20150813,福建省,,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0097723.jpg,,,,,,,,,, +,Cyclocodon parviflorus,彭华,蒋蕾,陈亚平等,JL75,20140728,云南省,,林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264014.jpg,,,,,,,,,, +小花轮钟草,Cyclocodon parviflorus,闫丽春,C090093,20190313,云南,570,,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030760.jpg,,,,,,,,,, +小花轮钟草,Cyclocodon parviflorus,高信芬、涂卫国、乔永康、何海,8055,20030927,西藏,850,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0181113.jpg,,,,,,,,,, +南竹叶环根芹,Cyclorhiza peucedanifolia,青藏队,3167,1981-8 3,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0101958.jpg,,,,,,,,,, +,Cyclorhiza peucedanifolia,"Delavay, J.M.",4586,1888-4-16,,,,,,https://image.cvh.ac.cn/files/l/P/P00057007.jpg,,,,,,,,,, +,Cyclorhiza peucedanifolia,中甸队,2191,19600921,云南省,1800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00725631.jpg,,,,,,,,,, +环根芹,Cyclorhiza waltonii,陈俊华,593,,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM715001875.jpg,,,,,,,,,, +环根芹,Cyclorhiza waltonii,谢登峰、付筱,2060099,20190922,四川,4661,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02060099.jpg,,,,,,,,,, +环根芹,Cyclorhiza waltonii,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201619,20200809,西藏,4207,干旱山坡上,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1553081.jpg,,,,,,,,,, +戟叶鹅绒藤,Cynanchum acutum subsp. sibiricum,张磊,郭建全,zlnmu2021151,20211002,宁夏,1097,农田荒地,藤本,无花有果,https://image.cvh.ac.cn/files/l/NMU/NMU00478.jpg,,,,,,,,,, +戟叶鹅绒藤,Cynanchum acutum subsp. sibiricum,北师大队,LS2015006,20150726,宁夏省,,路边砂地,,,https://image.cvh.ac.cn/files/l/BNU/0019202.jpg,,,,,,,,,, +,Cynanchum acutum subsp. sibiricum,"刘成,亚吉东",15CS10314,20150616,新疆维吾尔自治区,918,路边戈壁滩,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375696.jpg,,,,,,,,,, +牛皮消,Cynanchum auriculatum,郑俊华、范莉香,2366,19580806,山东,,,,有花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0008134.jpg,,,,,,,,,, +牛皮消,Cynanchum auriculatum,察省农林处,169,1947/6/10,内蒙古自治区,,,藤本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0245175.jpg,,,,,,,,,, +牛皮消,Cynanchum auriculatum,无,840389,19840916,江西,500m,山地山坡灌丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0006398.jpg,,,,,,,,,, +白首乌,Cynanchum bungei,邢吉庆,6898,,?,,,攀援性半灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0124477.jpg,,,,,,,,,, +白首乌,Cynanchum bungei,高作经,1689,19580730,内蒙古,,,,无花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0008137.jpg,,,,,,,,,, +白首乌,Cynanchum bungei,周太炎等,652186,19650821,新疆维吾尔自治区,700,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/20707.jpg,,,,,,,,,, +豹药藤,Cynanchum decipiens,贵州队,5178,19600613,贵州省,1300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0518483.jpg,,,,,,,,,, +,Cynanchum decipiens,E. H. Wilson,1239,8-Nov,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00076296.jpg,,,,,,,,,, +豹药藤,Cynanchum decipiens,T.N.Liou & P.C.Tsoong,2780,19350815,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01022389.jpg,,,,,,,,,, +青羊参,Cynanchum otophyllum,融水普查队,450225140604001LY,20140604,广西壮族自治区,1064,,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0159362.jpg,,,,,,,,,, +青洋参,Cynanchum otophyllum,,4500,,江苏省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0518934.jpg,,,,,,,,,, +青羊参,Cynanchum otophyllum,郭念纯,336,19780720,四川省,1450,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0007913.jpg,,,,,,,,,, +雀瓢,Cynanchum thesioides,,,,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00208958.jpg,,,,,,,,,, +地梢瓜,Cynanchum thesioides,何理、阮勇强、尚策,110715-03,20110715,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00084077.jpg,,,,,,,,,, +雀瓢,Cynanchum thesioides,张红香,145,20140728,吉林省,153,盐碱地,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0243515.jpg,,,,,,,,,, +昆明杯冠藤,Cynanchum wallichii,,50,19600927,辽宁省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/307989.jpg,,,,,,,,,, +昆明杯冠藤,Cynanchum wallichii,巍山县普查队,5329271212,20120000,云南省,1000,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0016302.jpg,,,,,,,,,, +昆明杯冠藤,Cynanchum wallichii,贵池队,7013,19590701,安徽省,250,,藤本状灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00208944.jpg,,,,,,,,,, +隔山消,Cynanchum wilfordii,王明川,GZLD033,20160317,贵州,,山腰,灌木,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0007421.jpg,,,,,,,,,, +隔山消,Cynanchum wilfordii,J.Kozlov,10149,19300719,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00026468.jpg,,,,,,,,,, +隔山消,Cynanchum wilfordii,徐,,,四川,,,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM716700699.jpg,,,,,,,,,, +倒提壶,Cynoglossum amabile,黄永才,,19750607,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HUFD/0003149.jpg,,,,,,,,,, +倒提壶,Cynoglossum amabile,刘全儒,,20120620,北京市,,草丛,,,https://image.cvh.ac.cn/files/l/BNU/0019445.jpg,,,,,,,,,, +倒提壶,Cynoglossum amabile,刘全儒,,20040720,山西,,,草,有花有果,https://image.cvh.ac.cn/files/l/BNU/0055387.jpg,,,,,,,,,, +琉璃草,Cynoglossum furcatum,倪志诚,汪永泽,次多,次旦,473,19800707,西藏自治区,1500,沟谷常绿林下,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0006065.jpg,,,,,,,,,, +琉璃草,Cynoglossum furcatum,谷忠村,514180,19860514,湖南省,,山地草坡,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU16781.jpg,,,,,,,,,, +琉璃草,Cynoglossum furcatum,农东新,岑海锋,莫连兰,451025140509024LY,20140509,广西壮族自治区,925,阔叶林,路边,黄棕壤,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0108067.jpg,,,,,,,,,, +小花琉璃草,Cynoglossum lanceolatum,张代贵、王业清、朱晓琴,2442,20170818,湖北宜昌,1300,路边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE15491.jpg,,,,,,,,,, +小花琉璃草,Cynoglossum lanceolatum,C.W.Wang,74372,19360600,云南省 ,1550,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00090043.jpg,,,,,,,,,, +小花琉璃草,Cynoglossum lanceolatum,西藏考察队,1654,19730805,西藏自治区,2150,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/86614.jpg,,,,,,,,,, +西藏琉璃草,Cynoglossum schlagintweitii,俞德浚,6371,19370717,四川省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/87300.jpg,,,,,,,,,, +西藏琉璃草,Cynoglossum schlagintweitii,"郭柯,郑度",P-113,19891016,,2950,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01336890.jpg,,,,,,,,,, +西藏琉璃草,Cynoglossum schlagintweitii,青藏队,76-8056,19760627,西藏自治区,4500,山坡砂砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01336895.jpg,,,,,,,,,, +倒钩琉璃草,Cynoglossum wallichii,,10,,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01337070.jpg,,,,,,,,,, +西南琉璃草,Cynoglossum wallichii,李国凤,62974,19570000,重庆市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01337014.jpg,,,,,,,,,, +西南琉璃草,Cynoglossum wallichii,侯小琪,520425170601074 LY,20170601,贵州省,1540,阳性、阔叶林、酸性土、湿生、中温、野生植物,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0064968.jpg,,,,,,,,,, +倒钩琉璃草,Cynoglossum wallichii var. glochidiatum,何叶琪,5216,1959/7/23,甘肃省,2300,农田边,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/158888.jpg,,,,,,,,,, +倒钩琉璃草,Cynoglossum wallichii var. glochidiatum,张志英,3024,1959/5/30,甘肃,1570,山沟,阳坡,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/154059.jpg,,,,,,,,,, +倒钩琉璃草,Cynoglossum wallichii var. glochidiatum,,10,,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01337070.jpg,,,,,,,,,, +树番茄,Cyphomandra betacea,马关县普查队,5326250423,20150517,云南省,1663.2,阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0034602.jpg,,,,,,,,,, +,Cyphomandra betacea,刘福平,1036,19851007,福建省,,栽培,大草本,无花有果,https://image.cvh.ac.cn/files/l/FJSI/FJSI023891.jpg,,,,,,,,,, +,Cyphomandra betacea,,166a,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00632186.jpg,,,,,,,,,, +糙叶火焰花,Cystacanthus vitellinus,刀志灵;蔡磊;张品;常帅;陶丽丹,KIBDZL142B04,20190501,云南,408,石灰山,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1562640.jpg,,,,,,,,,, +大丽花,Dahlia pinnata,兴安县普查队,450325140914003LY ,20140914,广西,370,,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0111713.jpg,,,,,,,,,, +大丽菊,Dahlia pinnata,江莱,2.02E+11,20170708,贵州省,1110,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0006992.jpg,,,,,,,,,, +大丽花,Dahlia pinnata,四组,130824140725018LY,20140725,河北省,448,栽培植被,草本,有花无果,https://image.cvh.ac.cn/files/l/HBNU/HBNU20002076.jpg,,,,,,,,,, +虎刺,Damnacanthus indicus,R.C.Ching,1359,19240500,江苏省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/151270175.jpg,,,,,,,,,, +虎刺,Damnacanthus indicus,张华海,1284,19860331,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0014972.jpg,,,,,,,,,, +虎刺,Damnacanthus indicus,李洪钧,3274,19580630,湖北省,1000,山坡上林从中,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0201179.jpg,,,,,,,,,, +尖瓣瑞香,Daphne acutiloba,M.K.Li,2156,19391130,云南省 ,2100,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0199989.jpg,,,,,,,,,, +,Daphne acutiloba,郭永杰,聂细转,黄秋月,何疆海,白黎虹,12CS4859,20120316,云南,1939,山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1303557.jpg,,,,,,,,,, +尖瓣瑞香,Daphne acutiloba,甘启良,3284,20090408,湖北省,1000,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02066174.jpg,,,,,,,,,, +藏东瑞香 (原变种),Daphne bholua,方震东、方晔,HP-1330,20180426,云南,3057,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009639.jpg,,,,,,,,,, +,Daphne bholua,刘成,蔡杰,刘恩德,13CS6401,20130526,西藏,2775,高山松、华山松林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321599.jpg,,,,,,,,,, +藏东瑞香,Daphne bholua,"韩裕丰,邓坤梅,陈永瑞",81-679,19810613,云南省,2470,常绿阔叶林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01597468.jpg,,,,,,,,,, +落叶瑞香,Daphne bholua var. glacialis,,370,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01017692.jpg,,,,,,,,,, +落叶瑞香,Daphne bholua var. glacialis,"李渤生,程树志",4452,19830502,西藏自治区,2400,Tsugu林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/01017690.jpg,,,,,,,,,, +落叶瑞香,Daphne bholua var. glacialis,G.Forrest,29347,19310300,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01017675.jpg,,,,,,,,,, +五出瑞香,Daphne holosericea var. thibetensis,彭基泰,2098,19830607,四川省,2800,干热河谷常绿,,无花无果,https://image.cvh.ac.cn/files/l/PE/01059941.jpg,,,,,,,,,, +五出瑞香,Daphne holosericea var. thibetensis,王启无,66233,19351000,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0200137.jpg,,,,,,,,,, +五出瑞香,Daphne holosericea var. thibetensis,川经西(59)字,8842,19600531,云南省,1900,山沟阳处灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01059944.jpg,,,,,,,,,, +少丝毛瑞香,Daphne holosericea var. wangeana,C.W.Wang,66544,19350900,西藏自治区,3200,Pie oak wood,,有花无果,https://image.cvh.ac.cn/files/l/PE/00935547.jpg,,,,,,,,,, +少丝毛瑞香,Daphne holosericea var. wangeana,C.W. Wang,66544,1935/09/,云南,3200,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0043669.jpg,,,,,,,,,, +少绢毛黄瑞香,Daphne holosericea var. wangeana,任宪威,780038,19780800,西藏,,,,,https://image.cvh.ac.cn/files/l/BJFC/00012482.jpg,,,,,,,,,, +白瑞香,Daphne papyracea,陈伟烈,14572,19800901,西藏自治区,1800,林缘或林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01495951.jpg,,,,,,,,,, +白瑞香,Daphne papyracea,李国凤,63889,19570829,四川省,2060,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0200442.jpg,,,,,,,,,, +白瑞香,Daphne papyracea,尹志坚等,1679,20090723,云南省,3300,forest margins,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026286.jpg,,,,,,,,,, +凹叶瑞香,Daphne retusa,K.M.Feng,3994,19400519,云南省,3500~3600,Abies林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01597326.jpg,,,,,,,,,, +凹叶瑞香,Daphne retusa,"Ying Tsun-shen,Guo Qin-feng,Li Yun-feng etc.",293,19870720,陕西省,2150,In woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/02028492.jpg,,,,,,,,,, +凹叶瑞香,Daphne retusa,林业部林业科学研究所标本室,2123,19570820,陕西,2900,冷杉林下,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00027360.jpg,,,,,,,,,, +,Daphne sureil,W.Nanakorn etc.,2473,19941029,,1200,in hill evergreen forest,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1225321.jpg,,,,,,,,,, +唐古特瑞香,Daphne tangutica,"田先华,张力",T934030,19930425,陕西省,1340,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841394.jpg,,,,,,,,,, +,Daphne tangutica,"张洪军, 许惠军",ZHANG2016HC015,20160620,甘肃,1727,温带灌木、半灌木荒漠植被,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1455811.jpg,,,,,,,,,, +陕甘瑞香,Daphne tangutica,蒲兴燕,SCH1503381,20090738,贵州省,1096,,灌木,有花无果,https://image.cvh.ac.cn/files/l/ZY/ZY0004755.jpg,,,,,,,,,, +,Daphne taylorii,,,,,,,,,,,,,,,,,,, +曼陀罗,Datura stramonium,侯元同,侯元免,宋晓琳,王祥荣,李涵,石浩楠,柳咏琪,20191104154-1,20191104,江苏,13,路边,半灌木状草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0054760.jpg,,,,,,,,,, +曼陀罗,Datura stramonium,周卯勤,2013115,20130508,重庆,630,栽培,草本,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0014786.jpg,,,,,,,,,, +曼陀罗,Datura stramonium,J.C.Soto,5378,19831008,Chaves,1900,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/182081.jpg,,,,,,,,,, +,Decalobanthus mammosus,,,,,,,,,,,,,,,,,,, +,Decaneuropsis blanda,,,,,,,,,,,,,,,,,,, +,Decaneuropsis gratiosa,,,,,,,,,,,,,,,,,,, +,Decaneuropsis vagans,,,,,,,,,,,,,,,,,,, +,Deeringia amaranthoides,陈又生等,664,20111118,西藏自治区,1800,山谷灌丛草坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01967772.jpg,,,,,,,,,, +浆果苋,Deeringia amaranthoides,吴征镒,台59,19971123,台湾,,无,,,https://image.cvh.ac.cn/files/l/KUN/1293650.jpg,,,,,,,,,, +地灵苋,Deeringia amaranthoides,邓朝义,DengCY073,20131012,贵州,1175,石山阔叶林下,半灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509476.jpg,,,,,,,,,, +,Dendrophthoe falcata,T.N.Liou,6266,19321128,,238,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01725916.jpg,,,,,,,,,, +疣枝寄生藤,Dendrotrophe granulata,青藏队,74-4387,19740820,西藏自治区,1100,山坡阔叶林中 寄生树上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00890062.jpg,,,,,,,,,, +疣枝寄生藤,Dendrotrophe granulata,王正伟,WZW08714,20151106,西藏,2100,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0110009.jpg,,,,,,,,,, +疣枝寄生藤,Dendrotrophe granulata,青藏队,8015,19820717,云南省,1700~1800,山坡 常绿阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062686.jpg,,,,,,,,,, +,Dendrotrophe platyphylla,,,,,,,,,,,,,,,,,,, +小牙草,Dentella repens,梁向日 ,66384,,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00098978.jpg,,,,,,,,,, +小牙草,Dentella repens,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/151270187.jpg,,,,,,,,,, +小牙草,Dentella repens,Tang Siu Ging,7012,19260605,福建省,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/151270189.jpg,,,,,,,,,, +播娘蒿,Descurainia sophia,傅坤俊,17496,19770614,陕西省,2000,山坡路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01603056.jpg,,,,,,,,,, +播娘蒿,Descurainia sophia,刘继孟,1585,19570715,山西省,1670,阳处山坡 田梗旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995724.jpg,,,,,,,,,, +播娘蒿,Descurainia sophia,曾宪锋,ZXF10767,2011/4/17,广东省,250,丘陵路旁,,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0006253.jpg,,,,,,,,,, +,Deutzia aspera,罗光进,XPALSB194,20090612,云南,2300,,灌木,,https://image.cvh.ac.cn/files/l/KUN/1237369.jpg,,,,,,,,,, +马桑溲疏,Deutzia aspera,"倪志诚,汪永泽,次多,次旦",35,19800703,西藏自治区,2000,常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00864470.jpg,,,,,,,,,, +马桑溲疏,Deutzia aspera,刘慎谔,18972,19410417,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0287883.jpg,,,,,,,,,, +密序溲疏,Deutzia compacta,H.T.Tsai,63077,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0288002.jpg,,,,,,,,,, +密序溲疏,Deutzia compacta,PE西藏考察队,7201,20180612,西藏自治区,3045~3398,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332078.jpg,,,,,,,,,, +密序溲疏,Deutzia compacta,青藏队,3500,19820823,云南省,1600,"山坡,路边,灌丛",,无花有果,https://image.cvh.ac.cn/files/l/PE/00864508.jpg,,,,,,,,,, +,Deutzia corymbosa,"应俊生,洪德元",650307,19650626,西藏自治区,3650,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00863594.jpg,,,,,,,,,, +,Deutzia corymbosa,S.Y.Hu,13429,19710530,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01666071.jpg,,,,,,,,,, +,Deutzia corymbosa,贺贤育,230,19580500,浙江,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/NF/NF2010898.jpg,,,,,,,,,, +大花溲疏,Deutzia grandiflora,老铁山采集队,12053029,20120530,辽宁省,130,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01899413.jpg,,,,,,,,,, +,Deutzia grandiflora,田先华,王梅荣,田陌,TianXH549,20121114,陕西,719,山谷路旁,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1301018.jpg,,,,,,,,,, +楔叶大花黄溲疏,Deutzia grandiflora,,1328,19300418,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00175625.jpg,,,,,,,,,, +西藏溲疏,Deutzia hookeriana,青藏队区系组,7867,19820701,云南省,2200~2300,山坡云南松林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00864539.jpg,,,,,,,,,, +大叶溲疏,Deutzia hookeriana,刘璐璐,6,20100703,河南省,,生于海拔3400-3500m的林下,产西藏,,有花有果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0003403.jpg,,,,,,,,,, +,Deutzia hookeriana,李永亮等,YDDXS0944,20111101,云南,2040,石灰岩裸露地段岩子,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237402.jpg,,,,,,,,,, +长叶溲疏,Deutzia longifolia,青藏队,142,19810527,云南省,2550,稀树灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00864566.jpg,,,,,,,,,, +长叶溲疏,Deutzia longifolia,张冶明,128,19641006,北京市,,栽培,,无花有果,https://image.cvh.ac.cn/files/l/PE/01839169.jpg,,,,,,,,,, +长叶溲疏,Deutzia longifolia,G.Forrest.,30500,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01842888.jpg,,,,,,,,,, +碎花溲疏,Deutzia parviflora var. micrantha,T.N.Liou,1166lbis,19390609,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00763036.jpg,,,,,,,,,, +碎花溲疏,Deutzia parviflora var. micrantha,"关克俭,陈艺林",7471,19590626,山西省,,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00762828.jpg,,,,,,,,,, +碎花溲疏,Deutzia parviflora var. micrantha,T.N. Liou,P.C.Tsoong  ,95,1937/8/21,陕西省 ,1200,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0055822.jpg,,,,,,,,,, +,Deutzia purpurascens,张挺,蔡杰,刘恩德,蒋宏,杨湘云,08CS042,20080612,云南,3230,林缘石灰山,灌木,,https://image.cvh.ac.cn/files/l/KUN/1237415.jpg,,,,,,,,,, +紫花溲疏,Deutzia purpurascens,刘义,4387,20190501,河南,391,灌木,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1904387.jpg,,,,,,,,,, +紫花溲疏,Deutzia purpurascens,吉首大学生物资源与环境科学学院,GWJ20180712_0287,20180712,湖南,402,灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU63582.jpg,,,,,,,,,, +溲疏属,Deutzia staminea,倪志诚 次多 次旦 廖世荣,2307,19810916,西藏,2400,山坡林缘灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0002691.jpg,,,,,,,,,, +长柱溲疏,Deutzia staminea,白洪兵、李红,533324180827442LY,20180807,云南,3023,,灌木,有花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009877.jpg,,,,,,,,,, +长柱溲疏,Deutzia staminea,C.W. Wang,69169,1935/08/,云南省 ,3400,,灌木 ,无花无果,https://image.cvh.ac.cn/files/l/WUK/0048401.jpg,,,,,,,,,, +宽萼溲疏,Deutzia wardiana,杨竞生,90-291,19900721,西藏自治区,,公路边杂木林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01975726.jpg,,,,,,,,,, +遂裂石竹,Dianthus orientalis,,724,19560800,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00582849.jpg,,,,,,,,,, +东方石竹,Dianthus orientalis,"王彩玲,于永利",津01469,19850518,天津市,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00007442.jpg,,,,,,,,,, +遂裂石竹,Dianthus orientalis,M.Shevljakov,s.n.,19390611,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01625438.jpg,,,,,,,,,, +瞿麦,Dianthus superbus,L.Ivanina et al.,565,19780711,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900884.jpg,,,,,,,,,, +瞿麦,Dianthus superbus,田代科、陈岳,TDK01148,20130721,河北,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0010719.jpg,,,,,,,,,, +瞿麦,Dianthus superbus,W. Y. Hsia,3906,1933/8/28,Ning-Hsia(宁夏),1800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0422813.jpg,,,,,,,,,, +喜马拉雅岩梅,Diapensia himalaica,刘成;亚吉东;闵峙杰,18CS17413,20180816,云南,4605,高山碎石草坡,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1551566.jpg,,,,,,,,,, +渐尖叶岩梅,Diapensia himalaica,俞德浚,22350,19370816,云南省,4000,岩石上,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0235123.jpg,,,,,,,,,, +喜马拉雅岩梅,Diapensia himalaica,,35,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/065053.jpg,,,,,,,,,, +红花岩梅,Diapensia purpurea,青藏队,10240,19820909,西藏自治区,4200,山坡,灌丛,草地,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0235168.jpg,,,,,,,,,, +红花岩梅,Diapensia purpurea,李永江,510,Oct-84,四川省,3900,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0104031.jpg,,,,,,,,,, +,Diapensia purpurea,"Forrest, G.",19493,1920,,,,,,https://image.cvh.ac.cn/files/l/P/P00714224.jpg,,,,,,,,,, +,Dichodon cerastoides,N.Kaletkina.,s.n.,19660725,,3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01625332.jpg,,,,,,,,,, +常山,Dichroa febrifuga,,,,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/NKU/NK 015187.jpg,,,,,,,,,, +常山,Dichroa febrifuga,孙林,ZZ150531867,20150531,江西吉安,,山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU59867.jpg,,,,,,,,,, +,Dichroa febrifuga,,HHXY119,20060825,湖南,287,路边,灌木、匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1237433.jpg,,,,,,,,,, +小鱼眼草,Dichrocephala benthamii,资源县普查队,450329150618032LY,20150618,广西,585,阔叶林,路旁,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0172607.jpg,,,,,,,,,, +小鱼眼草,Dichrocephala benthamii,建水普查队,5325240481,20190529,云南,2347,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1524548.jpg,,,,,,,,,, +小鱼眼草,Dichrocephala benthamii,王作宾,19277,19640508,甘肃省,650,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/010996.jpg,,,,,,,,,, +菊叶鱼眼草,Dichrocephala chrysanthemifolia,王跃华;申仕康等,YNUWYH016B06,20190801,云南,2280,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1564972.jpg,,,,,,,,,, +菊叶鱼眼草,Dichrocephala chrysanthemifolia, 吴金清,6032,20010424,重庆市,106,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0151308.jpg,,,,,,,,,, +菊叶鱼眼草,Dichrocephala chrysanthemifolia,李小杰,CSH05910,20140831,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0045279.jpg,,,,,,,,,, +鱼眼草,Dichrocephala integrifolia,黄卫昌、肖月娥、胡超、王正伟,WZW08850,20151202,,2192,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0110595.jpg,,,,,,,,,, +,Dichrocephala integrifolia,"林佳桦,钟国芳",133,20000410,台湾省,1350,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01799974.jpg,,,,,,,,,, +,Dichrocephala integrifolia,胡君,熊豫宁,伍小刚,王东超,HJ05085,20151024,西藏自治区,960,山坡,疏林下草丛中,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00599686.jpg,,,,,,,,,, +印度狗肝菜,Dicliptera bupleuroides,B.Bartholomew etc.,2479,19850930,,70,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/233678.jpg,,,,,,,,,, +印度狗肝菜,Dicliptera bupleuroides,王洪,2740,19920118,云南省,1250,石灰岩山脚,草本,,https://image.cvh.ac.cn/files/l/HITBC/0025092.jpg,,,,,,,,,, +印度狗肝菜,Dicliptera bupleuroides,Hiroshige Koyama,31802,19821227,Phuket,900,"on bamboo forest,on limestone",,有花无果,https://image.cvh.ac.cn/files/l/KUN/233585.jpg,,,,,,,,,, +,Didymocarpus albicalyx,H.Kanai H.Hara etc.,723136,19720805,东京,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0207179.jpg,,,,,,,,,, +,Didymocarpus albicalyx,H.Ohashi H.Kanai etc.,775526,19770902,Shemma,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0207180.jpg,,,,,,,,,, +互叶长蒴苣苔,Didymocarpus aromaticus,西藏中草药普查队,1453,19720824,西藏自治区,2800,草坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00141282.jpg,,,,,,,,,, +互叶长蒴苣苔,Didymocarpus aromaticus,H.Ohashi H.Kanai etc.,771781,19770729,Topke Gola,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0207182.jpg,,,,,,,,,, +互叶长蒴苣苔,Didymocarpus aromaticus,Y.Omori N.Acharya K.Fujikawa et al,9920016,19990803,,2550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01619405.jpg,,,,,,,,,, +,Didymocarpus moellerii,,,,,,,,,,,,,,,,,,, +,Didymocarpus oblongus,M.Suzuki etc.,8571624,19850816,Shemma,0,On wet mossy rock in forest.,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0207217.jpg,,,,,,,,,, +长圆长蒴苣苔,Didymocarpus oblongus,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201172,20200723,西藏,2294,岩坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507011.jpg,,,,,,,,,, +,Didymocarpus pedicellatus,H.Kanai H.Hara etc.,720996,19720701,Shemma,1200,On rock in shady place,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0207218.jpg,,,,,,,,,, +藏南长蒴苣苔,Didymocarpus primulifolius,青藏队,6010,19750627,西藏自治区,2100~2700,岩壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0207224.jpg,,,,,,,,,, +藏南长蒴苣苔,Didymocarpus primulifolius,H.Hara H.Kanai,3008,19670623,Shemma,0,On rocks,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0207222.jpg,,,,,,,,,, +,Didymocarpus pulcher,高信芬、涂卫国、何海、乔永康,7784,20030923,西藏自治区,1600,林下,草本,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190628.jpg,,,,,,,,,, +长毛长蒴苣苔,Didymocarpus villosus,H.Ohba T.Kikuchi,8570147,19850705,Shemma,0,On mossy rock in forest.,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0207306.jpg,,,,,,,,,, +长毛长蒴苣苔,Didymocarpus villosus,青藏队,6010A,19750627,西藏自治区,2100~2700,石壁上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00154129.jpg,,,,,,,,,, +盐泽双脊荠,Dilophia salsa,杨金祥,2415,19630815,西藏,4800,河滩,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0411384.jpg,,,,,,,,,, +盐泽双脊荠,Dilophia salsa,"李世英,王庆瑞,黄大乐",69,19550623,青海省,2740,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01552141.jpg,,,,,,,,,, +盐泽双脊荠,Dilophia salsa,G.Lazkov,s.n.,19950719,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01005984.jpg,,,,,,,,,, +,Dimetia scandens,,,,,,,,,,,,,,,,,,, +藏飞蛾藤?,Dinetus grandiflorus,高信芬、朱章明、鞠文彬、金伟涛,14562,20110727,西藏自治区,2450~2540,公路边,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0222942.jpg,,,,,,,,,, +,Dinetus grandiflorus,高信芬、朱章明、鞠文彬、金伟涛,14562,20110727,西藏,2450~2540,公路边,多年生草质藤本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0222941.jpg,,,,,,,,,, +藏飞蛾藤,Dinetus grandiflorus,龙庆德、李启瑞,52263120181018210LY,20181018,贵州,517,灌丛 、中生、阳性、亚高温、钙质土、野生植物,灌木,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0101166.jpg,,,,,,,,,, +飞蛾藤,Dinetus racemosus,吴宝成,吴宝成2497,20140901,甘肃省,880,山坡路边,藤本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00597156.jpg,,,,,,,,,, +飞蛾藤,Dinetus racemosus,朱鑫鑫,王君,ZHUXX001,20170929,湖北,461,亚热带针阔混交林,路边,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0146940.jpg,,,,,,,,,, +飞蛾藤,Dinetus racemosus,聂敏祥 赖书坤,6371,1958/11/10,江西省,,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0263696.jpg,,,,,,,,,, +,Diospyros cacharensis,,,,,,,,,,,,,,,,,,, +柿,Diospyros kaki,川黔队,433,19560605,重庆市,820,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02083173.jpg,,,,,,,,,, +柿,Diospyros kaki,川经宜(59)字,277,19590502,四川省,1100,中山山坡上往宅旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01974739.jpg,,,,,,,,,, +柿,Diospyros kaki,中德队,744,19560602,山东省,200~400,干田边阳处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01974617.jpg,,,,,,,,,, +,Diospyros lanceifolia,,,,,,,,,,,,,,,,,,, +君迁子,Diospyros lotus,,53183,19330418,云南省 ,1500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0451649.jpg,,,,,,,,,, +君迁子,Diospyros lotus,湘西调查队,225,19530727,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01582603.jpg,,,,,,,,,, +君迁子,Diospyros lotus,桂平市普查队,450881171101016LY,20171101,广西,177.3,灌丛,乔木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0202478.jpg,,,,,,,,,, +,Diospyros malabarica,,8838,19630624,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01974745.jpg,,,,,,,,,, +,Diospyros nigricans,,,,,,,,,,,,,,,,,,, +,Diospyros toposia,,,,,,,,,,,,,,,,,,, +,Diospyros variegata,青藏队,4345,19740819,西藏自治区,1000,山坡阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00769421.jpg,,,,,,,,,, +,Diospyros variegata,"张挺, 蔡杰, 刘成, 郭永杰, 吴之坤",13CS7925,20131106,云南,,金沙江边农田埂,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395561.jpg,,,,,,,,,, +优美双盾木,Dipelta elegans,四川植物标本,8832,19750909,四川省,2350,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00731928.jpg,,,,,,,,,, +,Dipelta elegans,"Potanin, G.N.",,1885,,,,,,https://image.cvh.ac.cn/files/l/P/P00639749.jpg,,,,,,,,,, +,Dipelta elegans,罗建勋、杜阳平、王义康,JZG1540,20190620,四川,2501.78,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0272640.jpg,,,,,,,,,, +十齿花,Dipentodon sinicus,J.Cavalerie,2955,空,贵州,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0001556.jpg,,,,,,,,,, +十齿花,Dipentodon sinicus,A.Henry,10741,,云南省 ,1800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0266333.jpg,,,,,,,,,, +十齿花,Dipentodon sinicus,"简焯坡,党忠成等",50540,19650617,贵州省,1060,山坡路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01296770.jpg,,,,,,,,,, +多花杉叶杜鹃,Diplarche multiflora,高山检测团队,MJW-50,20061007,云南,4100,高山杜鹃灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008366.jpg,,,,,,,,,, +杉叶杜,Diplarche multiflora,J.F. Rock,17033,28-May,云南; Yunnan,4450,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108999.jpg,,,,,,,,,, +杉叶杜,Diplarche multiflora,,25527,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0434994.jpg,,,,,,,,,, +少花杉叶杜,Diplarche pauciflora,李馨,77949,19580628,重庆市,4760,山脊,,有花无果,https://image.cvh.ac.cn/files/l/PE/00194512.jpg,,,,,,,,,, +少花杉叶杜,Diplarche pauciflora,王启无,65645,19350800,云南省 ,3900,mountain top rock,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00003411.jpg,,,,,,,,,, +少花杉叶杜,Diplarche pauciflora,Joseph F.Rock,21930,19320500,西藏自治区,4267,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00003433.jpg,,,,,,,,,, +藏榄,Diploknema butyracea,杨增宏等,85-0834,19850925,云南省,1000,路边常绿阔叶林,,有花有果,https://image.cvh.ac.cn/files/l/KUN/36926.jpg,,,,,,,,,, +,Diploknema butyraceoides,,,,,,,,,,,,,,,,,,, +毛狗骨柴,Diplospora fruticosa,葛兵兵,XS013,20130306,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/ZY/ZY0000824.jpg,,,,,,,,,, +毛狗骨柴,Diplospora fruticosa,吴磊、童毅,3214,20130413,广东,550,山坡密林,,,https://image.cvh.ac.cn/files/l/BNU/0028743.jpg,,,,,,,,,, +毛狗骨柴,Diplospora fruticosa,刘英光,2909,19581102,广东省,400,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0011254.jpg,,,,,,,,,, +大头续断,Dipsacus chinensis,青藏队,3621,19740714,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/040836.jpg,,,,,,,,,, +大头续断,Dipsacus chinensis,不祥,??,19800820,青海省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/95692.jpg,,,,,,,,,, +大头续断,Dipsacus chinensis,C.W.Wang,66114,19350800,云南省 ,3000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00272178.jpg,,,,,,,,,, +日本续断,Dipsacus japonicus,张代贵、王业清、朱晓琴,1932,20170717,湖北宜昌,1667,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE15890.jpg,,,,,,,,,, +日本续断,Dipsacus japonicus,邱炳云,77837,19770902,云南省,2200,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0009731.jpg,,,,,,,,,, +日本续断,Dipsacus japonicus,14中药,20190883,20150825,山西,,,,无花有果,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0019008.jpg,,,,,,,,,, +东京龙脑香,Dipterocarpus retusus,李剑武,2947,20130119,云南,570,栽培,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028300.jpg,,,,,,,,,, +东京龙脑香,Dipterocarpus retusus,,61-0089,19610000,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1266053.jpg,,,,,,,,,, +东京龙脑香,Dipterocarpus retusus,覃海宁,18781,20030217,,150,村边,,有花有果,https://image.cvh.ac.cn/files/l/PE/02229916.jpg,,,,,,,,,, +,Dischidia bengalensis,M.R.Henderson,23092,19291125,,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/AU047580.jpg,,,,,,,,,, +,Dolomiaea crispoundulata,,,,,,,,,,,,,,,,,,, +,Dolomiaea macrocephala,PE西藏队,PE6709,20170915,西藏自治区,4200,湖边山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891122.jpg,,,,,,,,,, +怒江川木香,Dolomiaea salwinensis,李红、和仕波,533324180825407LY,20180825,云南,3298.3,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009688.jpg,,,,,,,,,, +,Dolomiaea salwinensis,"Handel-Mazzetti, H.",9910,15-Aug-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00383939.jpg,,,,,,,,,, +,Dolomiaea salwinensis,George Forrest,13288,19140800,云南省,4833,Open moist alpine pasture,,有花有果,https://image.cvh.ac.cn/files/l/PE/00856291.jpg,,,,,,,,,, +,Dolomiaea scabrida,青藏队,7327,19750821,西藏自治区,4400,河边砂砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01565962.jpg,,,,,,,,,, +,Dolomiaea souliei var. cinerea,,,,,,,,,,,,,,,,,,, +,Dolophragma globiflorum,,,,,,,,,,,,,,,,,,, +,Dolophragma juniperinum,,,,,,,,,,,,,,,,,,, +,Dolophragma polytrichoides,,,,,,,,,,,,,,,,,,, +,Donella lanceolata,,,,,,,,,,,,,,,,,,, +腺花旗杆,Dontostemon glandulosus,"汤宗孝,田效文,孙庆国",284,19820710,四川省,3300,亚高山草甸草场,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350825.jpg,,,,,,,,,, +腺花旗杆,Dontostemon glandulosus,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,4月27日,20180813,西藏,5156.5,湖岸湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0193444.jpg,,,,,,,,,, +腺花旗杆,Dontostemon glandulosus,中甸队,800,19620814,云南省 ,3300,河边灌木丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0497656.jpg,,,,,,,,,, +羽裂花旗秆,Dontostemon pinnatifidus,彭玉兰、余奇、李林霖,THP-KD-1584,20170621,四川,3400,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244292.jpg,,,,,,,,,, +羽裂花旗杆,Dontostemon pinnatifidus,PE西藏队,PE5128,20170825,西藏自治区,3788,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02309672.jpg,,,,,,,,,, +羽裂花旗杆,Dontostemon pinnatifidus,高信芬、朱章明、鞠文彬、金伟涛,13680,20110716,西藏,3900,,一年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0216392.jpg,,,,,,,,,, +虻眼,Dopatrium junceum,陈少卿,6933,19501110,广东省,,,,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00052880.jpg,,,,,,,,,, +虻眼,Dopatrium junceum,河南林业厅,616,19560831,河南省,,阳处潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01373772.jpg,,,,,,,,,, +,Dopatrium junceum,,60,193910,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0059114.jpg,,,,,,,,,, +,Doronicum briquetii,青藏队横断山队,3876,19810806,四川省,4600~4700,山坡 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01535685.jpg,,,,,,,,,, +,Doronicum briquetii,,128,19640620,青海省,4600,草甸滑?的山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797553.jpg,,,,,,,,,, +,Doronicum briquetii,青藏队,10280,19820909,西藏自治区,4100~4200,山坡 灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01535690.jpg,,,,,,,,,, +,Doronicum falconeri,T.H.Ting,s.n.,19270000,内蒙古,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01822034.jpg,,,,,,,,,, +,Doronicum falconeri,王忠涛等,156,20070623,新疆维吾尔自治区,2650,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017916.jpg,,,,,,,,,, +,Doronicum falconeri,T.H.Ting,s.n.,19270000,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01822034.jpg,,,,,,,,,, +,Doronicum kamaonense,,,,,,,,,,,,,,,,,,, +,Draba alajica,,,,,,,,,,,,,,,,,,, +,Draba altaica,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-0335,20080722,西藏,5116,流石滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235689.jpg,,,,,,,,,, +阿尔泰葶苈,Draba altaica,PE西藏考察队,8059,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332364.jpg,,,,,,,,,, +阿尔泰葶苈,Draba altaica,新疆采集队,1411,1978/7/13,新疆维吾尔族自治区,4500,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0335165.jpg,,,,,,,,,, +抱茎葶苈,Draba amplexicaulis,广福桥、石文立,520324160418009LY,20160418,贵州省,775.5,旱生、阳性、中温、野生植物、钙质土、草丛,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0043373.jpg,,,,,,,,,, +抱茎葶苈,Draba amplexicaulis,王一峰等,94187,19940710,甘肃省,2900,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01052473.jpg,,,,,,,,,, +抱茎葶苈,Draba amplexicaulis,A. Chen Young,194,19340716,陕西省,457,mountainside,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00629995.jpg,,,,,,,,,, +,Draba bartholomewii,,,,,,,,,,,,,,,,,,, +,Draba bhutanica,,,,,,,,,,,,,,,,,,, +,Draba cholaensis,,,,,,,,,,,,,,,,,,, +高茎葶苈,Draba elata,李馨,77774,19580616,四川,4300,山脊草坡上,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0234930.jpg,,,,,,,,,, +高茎葶苈,Draba elata,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/080952.jpg,,,,,,,,,, +高茎葶苈,Draba elata,G.Forrest,6386,10-Aug,云南省,1100,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0136682.jpg,,,,,,,,,, +,Draba ellipsoidea,方震东,415,20000915,云南,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008670.jpg,,,,,,,,,, +椭圆果葶苈,Draba ellipsoidea,钟补求,5395,19520917,西藏自治区,4170,废田中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01052552.jpg,,,,,,,,,, +,Draba ellipsoidea,徐波,陈光富,陈林杨,董金龙等,SunH-07ZX-0238,20080718,西藏,3873,高山灌丛,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1300784.jpg,,,,,,,,,, +毛葶苈,Draba eriopoda,刘全儒,20017101,20010726,河北,,亚高山草甸,草,,https://image.cvh.ac.cn/files/l/BNU/0010706.jpg,,,,,,,,,, +毛葶苈,Draba eriopoda,马毓泉,等,59,19580622,内蒙古自治区,,草原湿地,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00630246.jpg,,,,,,,,,, +毛葶苈,Draba eriopoda,马成功等,265,19810722,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01533626.jpg,,,,,,,,,, +球果葶苈,Draba glomerata,周太炎,651299,1965-08-,新疆省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0136693.jpg,,,,,,,,,, +球果葶苈,Draba glomerata,肃南队,76-0850,19760817,甘肃省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00630042.jpg,,,,,,,,,, +球果葶苈,Draba glomerata,新疆采集队,1456,1978/7/15,新疆维吾尔族自治区,4520,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0335518.jpg,,,,,,,,,, +纤细葶苈,Draba gracillima,,271,19590613,西藏自治区,4380,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01052629.jpg,,,,,,,,,, +纤细葶苈,Draba gracillima,,s.n.,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01052607.jpg,,,,,,,,,, +,Draba gracillima,"Kingdon-Ward, Frank",849,21-Jul-13,,,,,,https://image.cvh.ac.cn/files/l/E/E00386052.jpg,,,,,,,,,, +,Draba jucunda,"Kingdon-Ward, Frank",1023A,1913,,,,,,https://image.cvh.ac.cn/files/l/E/E00386060.jpg,,,,,,,,,, +愉悦葶苈,Draba jucunda,青藏队,10283,19820909,西藏自治区,4200,山坡,流石滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01052664.jpg,,,,,,,,,, +愉悦葶苈,Draba jucunda,J.F.Rock,23083,19320600,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0497870.jpg,,,,,,,,,, +,Draba kongboiana,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",15329,28-Jun-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00386073.jpg,,,,,,,,,, +苞序葶苈,Draba ladyginii,何业祺,2931,1959/6/3,内蒙古自治区,2300,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0155506.jpg,,,,,,,,,, +苞序葶苈,Draba ladyginii,,密520,19720712,河北省,,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01197849.jpg,,,,,,,,,, +苞序葶苈,Draba ladyginii,王作宾,7271,19370729,甘肃,3600,山坡,直立草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0023687.jpg,,,,,,,,,, +锥果葶苈,Draba lanceolata,"亚吉东, 张桥蓉, 胡枭剑",16CS12154,20160611,新疆,,沟边岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1442352.jpg,,,,,,,,,, +锥果葶苈,Draba lanceolata,高信芬、朱章明、鞠文彬、金伟涛,13817,20110718,西藏,4486,沟边沙地,一年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0216174.jpg,,,,,,,,,, +锥果葶苈,Draba lanceolata,傅坤俊,1314,19370722,甘肃,3700,山谷荒地,直立草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0023684.jpg,,,,,,,,,, +毛叶葶苈,Draba lasiophylla,无,61,19760829,甘肃省,2300,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0497920.jpg,,,,,,,,,, +光果毛叶葶苈,Draba lasiophylla,吴玉虎,1268,19820805,青海省,4200,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/112757.jpg,,,,,,,,,, +毛叶葶苈,Draba lasiophylla,泛喜马拉雅植物志巴基斯坦采集队,FPH-0756,20120624,,3800~4010,"Forest(Picea,Abies,Pinus),Alpine meadow lake",,有花无果,https://image.cvh.ac.cn/files/l/PE/02004679.jpg,,,,,,,,,, +丽江葶苈,Draba lichiangensis,Ho Ting-nung et al.,1390,19930818,青海省,4450~4550,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01052811.jpg,,,,,,,,,, +丽江葶苈,Draba lichiangensis,俞德俊,12088,19370712,云南省,3650,rocky hill,,有花无果,https://image.cvh.ac.cn/files/l/PE/01052820.jpg,,,,,,,,,, +丽江葶苈,Draba lichiangensis,杨竟生,8260,,云南省 ,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0497968.jpg,,,,,,,,,, +,Draba melanopus,杨赵平,周禧琳,贺冰等,LiZJ1350,20100811,新疆,3041,高山草甸,草本,,https://image.cvh.ac.cn/files/l/KUN/1300813.jpg,,,,,,,,,, +天山葶苈,Draba melanopus,"武素功,大场秀章,吴玉虎,费勇",4060,19880813,西藏自治区,4730,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/149685.jpg,,,,,,,,,, +天山葶苈,Draba melanopus,"武素功,吴玉虎,费勇",5042,19890815,新疆维吾尔自治区,4400,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/154098.jpg,,,,,,,,,, +,Draba mieheorum,,,,,,,,,,,,,,,,,,, +蒙古葶苈,Draba mongolica,,7495,19740720,四川省,4000,岩壁上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01052852.jpg,,,,,,,,,, +蒙古葶苈,Draba mongolica,,s.n.,80,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0011640.jpg,,,,,,,,,, +蒙古葶苈,Draba mongolica,刘全儒,ALT.425,20140801,新疆,4533,荒漠,草,,https://image.cvh.ac.cn/files/l/BNU/0028531.jpg,,,,,,,,,, +葶苈,Draba nemorosa,"曹子余,王忠涛",64,19860506,北京市,1150,山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995527.jpg,,,,,,,,,, +,Draba nemorosa,吴宝成,HANGYY8043,20080418,江苏,33,落叶阔叶林林地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235732.jpg,,,,,,,,,, +葶苈,Draba nemorosa,张粤、苏道岩、魏志文、王艳林,XM879,20160708,内蒙古自治区通辽市,175.2,草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0239521.jpg,,,,,,,,,, +喜山葶苈,Draba oreades,傅坤俊,4448,19520609,陕西省,2800,高山坡,石隙内,,有花有果,https://image.cvh.ac.cn/files/l/PE/01053158.jpg,,,,,,,,,, +喜山葶苈,Draba oreades,武素功,费勇等,1925,19880627,新疆维吾尔自治区 ,4100,on soil among rocks,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0498127.jpg,,,,,,,,,, +喜山葶苈,Draba oreades,高云东,黎怀成,郑臣臣,THP-KD-2310,20170714,四川,4300~4500,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244324.jpg,,,,,,,,,, +喜高山葶苈,Draba oreades var. alpicola,李渤生,5867,19830723,西藏自治区,4800,高山 冰碛 石内时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468065.jpg,,,,,,,,,, +喜高山葶苈,Draba oreades var. alpicola,青藏队横断山队,5402,19810827,四川省,4500,冰舌下流石滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01109422.jpg,,,,,,,,,, +喜高山葶苈,Draba oreades var. alpicola,苟新京,83-42,19830728,青海省,4500,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/106591.jpg,,,,,,,,,, +多叶葶苈,Draba polyphylla,方文培,周洪富,张泽荣,22146,19570615,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00171120.jpg,,,,,,,,,, +,Draba polyphylla,张挺,蔡杰,刘恩德,蒋宏,杨湘云,08CS023,20080612,云南,3340,次生阔叶林林缘石灰山岩石上,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235748.jpg,,,,,,,,,, +多叶葶苈,Draba polyphylla,M.Suzuki N.Acharya et al,8820703,19880720,,,in shrubbery on rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892551.jpg,,,,,,,,,, +刚毛葶苈,Draba setosa,青藏队,76-12848,19760625,西藏自治区,4400,山坡,锦鸡儿灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01053265.jpg,,,,,,,,,, +,Draba sikkimensis,张大才,李双智,罗康,梁群,SunH-07ZX-1209,20080730,西藏,4130,针叶林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235749.jpg,,,,,,,,,, +葶苈,Draba sikkimensis,张代贵,411020,20041102,湖北神龙架,,生于田边路旁,山坡草地及河谷湿地,一年或二年生草本,有花有果,https://image.cvh.ac.cn/files/l/JIU/JIU23092.jpg,,,,,,,,,, +,Draba sikkimensis,蔡杰,13CS6943,20130602,西藏自治区,3958,山坡灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1331559.jpg,,,,,,,,,, +,Draba stenobotrys,周太炎等,651298,19650806,新疆维吾尔自治区,3700,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01053276.jpg,,,,,,,,,, +狭果葶苈,Draba stenocarpa,王为义等,27410,19830805,青海省,3450,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/105363.jpg,,,,,,,,,, +无毛狭果葶苈,Draba stenocarpa,何建农,159,19650703,青海,3600,山顶,石岩缝中,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0290163.jpg,,,,,,,,,, +狭果葶苈,Draba stenocarpa,朱格麟等,6055,1964/8/4,新疆维吾尔族自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0232933.jpg,,,,,,,,,, +,Draba sunhangiana,,,,,,,,,,,,,,,,,,, +西藏葶苈,Draba tibetica,邢吉庆,22352,19730805,新疆维吾尔自治区,3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH015695.jpg,,,,,,,,,, +西藏葶苈,Draba tibetica,郭本兆、王为义,11542,19750719,青海省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/47155.jpg,,,,,,,,,, +,Draba tibetica,李晖,文雪梅,熊继贵,Lihui-Q-2010-50,20100913,西藏,4718,高山草甸,垫状草本,,https://image.cvh.ac.cn/files/l/KUN/1235753.jpg,,,,,,,,,, +屠氏葶苈,Draba turczaninowii,青藏队,8031,19760621,西藏自治区,4900,河边砾石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0498268.jpg,,,,,,,,,, +屠氏葶苈,Draba turczaninowii,张志和等,5612,19900703,青海省,3650,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/159558.jpg,,,,,,,,,, +棉毛葶苈,Draba winterbottomii,青藏冻土植物队,126,19750728,青海省,5000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/54338.jpg,,,,,,,,,, +,Draba winterbottomii,R. Strachey & J. E. Winterbottom,10,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00112009.jpg,,,,,,,,,, +棉毛葶苈,Draba winterbottomii,王金亭,3450,19610618,西藏自治区,4300,半阴坡的丰风化的石灰岩粗砂土上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01053420.jpg,,,,,,,,,, +光萼青兰,Dracocephalum argunense,马秉权、柴福弟,811043,,黑龙江,,,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0004502.jpg,,,,,,,,,, +光萼青兰,Dracocephalum argunense,苗润普,216,19590823,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/12605001x0004.jpg,,,,,,,,,, +,Dracocephalum argunense,J.Kozlov,,19160703,,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00028072.jpg,,,,,,,,,, +羽叶枝子花,Dracocephalum bipinnatum,新疆采集队,531,1978/6/18,新疆维吾尔族自治区,1960,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0332738.jpg,,,,,,,,,, +羽叶枝子花,Dracocephalum bipinnatum,刘书润,s.n.,19760829,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0032694.jpg,,,,,,,,,, +羽叶枝子花,Dracocephalum bipinnatum,张振万等,3580,94.07.25,新疆维吾尔自治区 ,1520,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00031810.jpg,,,,,,,,,, +白花枝子花,Dracocephalum heterophyllum,郭中央等,160,19580712,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0032715.jpg,,,,,,,,,, +白花枝子花,Dracocephalum heterophyllum,"徐养鹏,于兆英",2701,1981/9/24,陕西省,1700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0433294.jpg,,,,,,,,,, +异叶青兰,Dracocephalum heterophyllum,杨宗宗,04-002,20040812,新疆省,2200,,草本,,https://image.cvh.ac.cn/files/l/BNU/0019848.jpg,,,,,,,,,, +长齿青兰,Dracocephalum hookeri,,66,19750825,西藏,2900,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717301410.jpg,,,,,,,,,, +矮生青兰,Dracocephalum tanguticum var. nanum,平措,49,19850811,西藏自治区,450,巴口戈乡波沟的阳坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00958505.jpg,,,,,,,,,, +矮生甘青青兰,Dracocephalum tanguticum var. nanum,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201792,20200815,西藏,4098,荒坡上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509307.jpg,,,,,,,,,, +截萼毛建草,Dracocephalum truncatum,王生新,1017,19730722,青海省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/171258.jpg,,,,,,,,,, +截萼毛建草,Dracocephalum truncatum,四川植被调查队,799,1979/7/16,南坪县,3500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0096989.jpg,,,,,,,,,, +截萼毛建草,Dracocephalum truncatum,J.F.Rock,12767,19250914,甘肃省,3000,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00072392.jpg,,,,,,,,,, +宽花毛建草,Dracocephalum wallichii var. platyanthum,钟补求,5800,19530721,西藏自治区,,高山草坡中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00921617.jpg,,,,,,,,,, +复序毛建草,Dracocephalum wallichii var. proliferum,T.T.Yu,13050,,四川省,4000,Margin of thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00921608.jpg,,,,,,,,,, +,Dracocephalum wallichii var. proliferum,T. T. Yu,13019,,,3800~4000,,,,https://image.cvh.ac.cn/files/l/HUH/A00001119.jpg,,,,,,,,,, +复序毛建草,Dracocephalum wallichii var. proliferum,张经炜,1143,19730822,西藏自治区,4600,砾石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00922561.jpg,,,,,,,,,, +苦绳,Dregea sinensis,青藏科考队,11651,19760601,西藏自治区,2800,河边 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132859.jpg,,,,,,,,,, +贯筋藤,Dregea sinensis,87林学2班,323,19890711,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/GFS/GFS0016018.jpg,,,,,,,,,, +,Dregea sinensis,"Wilson, Ernest Henry",1190,8-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00275186.jpg,,,,,,,,,, +盾叶茅膏菜,Drosera peltata,周太炎,607,19500421,江苏省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/112065036.jpg,,,,,,,,,, +茅膏菜,Drosera peltata,田代科、李湘鹏,TDK00861,20121212,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0009373.jpg,,,,,,,,,, +盾叶茅膏菜,Drosera peltata,吴世福,69,1981/5/8,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0012962.jpg,,,,,,,,,, +荷莲豆草,Drymaria diandra,曾宪锋,ZXF36630,20180331,福建,120,水旁,一年生匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0031910.jpg,,,,,,,,,, +,Drymaria diandra,周兴世,16613,19601114,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00583379.jpg,,,,,,,,,, +,Drymaria diandra,税玉民,陈文红等,72583,20071005,云南,1500,石灰岩山坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1239171.jpg,,,,,,,,,, +毛荷莲豆草,Drymaria villosa,刘景欣,1238,20071110,云南,1748,水稻田,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029108.jpg,,,,,,,,,, +毛荷莲豆草,Drymaria villosa,吴征镒,233,19840421,,1220,荫湿路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0512518.jpg,,,,,,,,,, +,Drymaria villosa,张永田,郎楷永,3103,19660503,西藏自治区,1700,林间草地,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0512519.jpg,,,,,,,,,, +紫花厚喙菊,Dubyaea atropurpurea,"杨亲二,孔宏智",98-491,19980928,云南,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831181.jpg,,,,,,,,,, +紫花厚喙菊,Dubyaea atropurpurea,青藏队,12810,19830810,四川省,3700,山坡灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00606401.jpg,,,,,,,,,, +紫花厚喙菊,Dubyaea atropurpurea,联大,21667,0,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/737435.jpg,,,,,,,,,, +厚喙菊,Dubyaea hispida,方震东,肖茂荣,史效武,李红,谢红艳,PL-138,20051002,云南省,4170,林下,苔藓从中,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005612.jpg,,,,,,,,,, +厚喙菊,Dubyaea hispida,,2192,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0598586.jpg,,,,,,,,,, +厚喙菊,Dubyaea hispida,H.Tabata etc.,23054,19830819,Koshi Zone,3400,Moist place on SE-facing slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/737606.jpg,,,,,,,,,, +,Dubyaea stebbinsii,"Ludlow, Francis & Sherriff, George",2518,28-Aug-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00433924.jpg,,,,,,,,,, +羊耳菊,Duhaldea cappa,邓涛,70430038,20070430,湖南省,,林缘,灌木,无花无果,https://image.cvh.ac.cn/files/l/JIU/JIU30205.jpg,,,,,,,,,, +羊耳菊,Duhaldea cappa,王正伟,WZW08722,20151108,西藏,1565,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0110040.jpg,,,,,,,,,, +羊耳菊,Duhaldea cappa,张代贵,张代富,820046,20190820,云南,1010,路边,亚灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1515632.jpg,,,,,,,,,, +泽兰羊耳菊,Duhaldea eupatorioides,侯学良,11062277,20110622,江西,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU070835.jpg,,,,,,,,,, +显脉旋复花,Duhaldea nervosa,张桥蓉,蒋婷,李国辉,王昆仑,ZhangYH137,20191124,云南,2369,石质山坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1488839.jpg,,,,,,,,,, +,Duhaldea nervosa,胡君、李丽、罗垚、蒋洪,SC-a-168-B27,20190913,四川,2938,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261663.jpg,,,,,,,,,, +,Duhaldea nervosa,"Esquirol, Joseph Henri (Rev. Père)",2700,11-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00413647.jpg,,,,,,,,,, +赤茎羊耳菊,Duhaldea rubricaulis,李永亮,LiYL1514,20160301,云南,2000,南亚热带常绿阔叶林干沟,半灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1437656.jpg,,,,,,,,,, +假连翘,Duranta erecta,吴鸿君,450226160930001LY,20160930,广西壮族自治区,356,草丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0158295.jpg,,,,,,,,,, +假连翘,Duranta erecta,苍梧县普查队,450421180731024LY,20180731,广西,59,灌丛,路旁,黄棕壤;一般;栽培,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00430205.jpg,,,,,,,,,, +假连翘,Duranta erecta,韦春强、李象钦,RQXN08020,20160118,广西省,89.5,路边,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0125847.jpg,,,,,,,,,, +樫木,Dysoxylum excelsum,李剑武,3085,20130510,云南,1900,常绿阔叶林,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028349.jpg,,,,,,,,,, +樫木,Dysoxylum excelsum,陈少卿,11670,19570607,广西壮族自治区,300~500,山谷岩石上水旁密林中阴处少数散生野生,,无花有果,https://image.cvh.ac.cn/files/l/PE/01137627.jpg,,,,,,,,,, +樫木,Dysoxylum excelsum,中越考察队,601,19641215,,100~150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01137642.jpg,,,,,,,,,, +红果樫木,Dysoxylum gotadhora,"植物保护中心, 越南科学技术学会联合会, 中国科学院昆明植物研究所, 税玉民|6351, 司马永康,",CK020,20121018,NinhBinh,,山坡灌丛,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1332814.jpg,,,,,,,,,, +红果樫木,Dysoxylum gotadhora,苏钰岚、黄金全,450331200826010LY,20200826,广西,~200,灌丛,林下,石灰土;一般,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00436221.jpg,,,,,,,,,, +红果樫木,Dysoxylum gotadhora,中越考察队,601,19641219,,100~150,谷沟边缘,乔木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00274044.jpg,,,,,,,,,, +多脉樫木,Dysoxylum grande,吴磊、蒋日红等,D0902,20100810,广西壮族自治区,350,山坡密林,乔木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00209859.jpg,,,,,,,,,, +海南?木,Dysoxylum mollissimum,S.K.Lau,27970,19361011,海南省 ,0,in dense woods,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0501801.jpg,,,,,,,,,, +海南?木,Dysoxylum mollissimum,,65964,,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01137686.jpg,,,,,,,,,, +海南?木,Dysoxylum mollissimum,冯国楣,5140,19541022,云南省,1000,山谷潮湿,,无花有果,https://image.cvh.ac.cn/files/l/PE/01137688.jpg,,,,,,,,,, +少花樫木,Dysoxylum pallens,"刘恩德, 邹娇, 董洪进, 肖波, 周天, 赵晨光, 陈志坚",LED9425,20191219,云南,926,石灰岩山林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1495022.jpg,,,,,,,,,, +土荆芥,Dysphania ambrosioides,刘正宇、张军等,RQHZ06281,20141105,四川省,1501,荒地,草本,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0129032.jpg,,,,,,,,,, +土荆芥,Dysphania ambrosioides,何观州 刘林翰,16659,19631115,湖南省,300,山地山谷,直立,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0257959.jpg,,,,,,,,,, +土荆芥,Dysphania ambrosioides,侯元同,侯元免,宋晓琳,王祥荣,李涵,石浩楠,柳咏琪,20191107340-1,20191107,江苏,9.2,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0058969.jpg,,,,,,,,,, +不丹腺毛藜,Dysphania bhutanica,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201588,20200808,西藏,4248,荒地上,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508399.jpg,,,,,,,,,, +香藜,Dysphania botrys,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13217,20160818,新疆,897,路边沙砾上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444880.jpg,,,,,,,,,, +,Dysphania botrys,"Li Zhenyu,Jin Xiaohua,Tu Yanli etc.",T073,20160912,西藏自治区,2900,temperate alpine region,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233360.jpg,,,,,,,,,, +香藜,Dysphania botrys,"张发起, 迟晓峰, 夏铭泽",QXA0412,20180826,青海,3143,温带半荒漠稀疏植被,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486808.jpg,,,,,,,,,, +杰弗里腺毛藜,Dysphania geoffreyi,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20727,20200627,西藏,3882,高山灌丛草地,一年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1506153.jpg,,,,,,,,,, +,Dysphania geoffreyi,"张永田,郞楷永",2663,19650905,西藏自治区,4150,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00510981.jpg,,,,,,,,,, +,Dysphania himalaica,,,,,,,,,,,,,,,,,,, +,Dysphania kitiae,黄土队(晋),4197,19840928,内蒙古,1230,草地,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0454089.jpg,,,,,,,,,, +,Dysphania kitiae,杨金祥,黄锁林,5222,19840918,宁夏,1310,路旁草地,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0450852.jpg,,,,,,,,,, +基特腺毛藜,Dysphania kitiae,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX20447,20200617,西藏,3648,荒地上,一年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1507939.jpg,,,,,,,,,, +尼泊尔腺毛藜,Dysphania nepalensis,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201530,20200807,西藏,4183,荒地上,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509165.jpg,,,,,,,,,, +菊叶香藜,Dysphania schraderiana,"朱鑫鑫, 林庶, 胡梦杰",ZXX191152,20190909,云南,2356,亚热带针叶林,山坡灌丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1485744.jpg,,,,,,,,,, +菊叶香藜,Dysphania schraderiana,彭玉兰、余奇、李林霖,THP-KD-1593,20170621,四川省,3400,拉沃村,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253261.jpg,,,,,,,,,, +菊叶香藜,Dysphania schraderiana,刘全儒,RQSB10013,20160902,北京市,1000,路边草丛,草本,,https://image.cvh.ac.cn/files/l/BNU/0029184.jpg,,,,,,,,,, +,Dysphania tibetica,,,,,,,,,,,,,,,,,,, +,Ecbolium ligustrinum,,,,,,,,,,,,,,,,,,, +鲤肠,旱莲草,Eclipta prostrata,包士英,严生俊,945,19590831,山西省,,岩石上,草本,有花无果,https://image.cvh.ac.cn/files/l/HSIB/HSIB017066.jpg,,,,,,,,,, +鳢肠,Eclipta prostrata,李健玲、邹永誉、叶春伟,GPS191108006,20191108,广西,~,山地,路旁,黄壤;普遍,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00434180.jpg,,,,,,,,,, +,Eclipta prostrata,殷华林 H. L. Yin,967023,19961110,安徽省,20,东坡下坦地,草本直立,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00620634.jpg,,,,,,,,,, +滇结香,Edgeworthia gardneri,王裕珠,Y0636,19781207,云南省,2000~2300,林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01490167.jpg,,,,,,,,,, +滇结香,Edgeworthia gardneri,"李渤生,程树志",4437,19830502,西藏自治区,2400,河边Aluns林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01598683.jpg,,,,,,,,,, +滇结香,Edgeworthia gardneri,G.Forrest,12267,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0200637.jpg,,,,,,,,,, +,Edgeworthia longipes,许建初,2027,19880703,西藏自治区,,路边次生林地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1265811.jpg,,,,,,,,,, +,Edgeworthia longipes,无,F157,19860619,云南省,1500~1600,常绿林及次生林,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0469213.jpg,,,,,,,,,, +,Ehretia acuminata,C.W.Wang,74379,19360600,云南省 ,0~1530,,woody plant,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00212876.jpg,,,,,,,,,, +厚壳树,Ehretia acuminata,苏享修,CSH14485,20150916,福建,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0106561.jpg,,,,,,,,,, +厚壳树,Ehretia acuminata,T. P. Wang,11354,19390723,湖北省,800,road side,shrub ,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00241481.jpg,,,,,,,,,, +糙毛厚壳树,Ehretia dicksonii,,741,19770905,四川,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SM/SM717100516.jpg,,,,,,,,,, +糙毛厚壳树,Ehretia dicksonii,李培元,1296,19590510,陕西省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0024333.jpg,,,,,,,,,, +粗糠树,Ehretia dicksonii,张代贵,zdg6222,20120505,湖北神农架林区,,山坡疏林,乔木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU64301.jpg,,,,,,,,,, +毛萼厚壳树,Ehretia laevis,梁向日,63558,,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00050155.jpg,,,,,,,,,, +毛萼厚壳树,Ehretia laevis,梁向日,65125,19340222,海南,,,,有花无果,https://image.cvh.ac.cn/files/l/SN/SN004714.jpg,,,,,,,,,, +毛萼厚壳树,Ehretia laevis,梁向日,65125,19340222,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0536059.jpg,,,,,,,,,, +光叶粗康树,Ehretia macrophylla var. glabrescens,T.P. Wang,9375,1938/6/25,四川,900,山坡,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/21100.jpg,,,,,,,,,, +,Ehretia macrophylla var. glabrescens,,204524,,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00050280.jpg,,,,,,,,,, +光叶粗康树,Ehretia macrophylla var. glabrescens,贵州队,5425,1960/6/17,贵州,1300,山谷,疏林中,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/222762.jpg,,,,,,,,,, +,Ehretia wallichiana,George Forrest,24311,19240000,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01337997.jpg,,,,,,,,,, +糙叶五加,Eleutherococcus henryi,高信芬、彭玉兰,1968,20010820,四川,2130,山坡灌丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0180556.jpg,,,,,,,,,, +糙叶五加,Eleutherococcus henryi,林24-4,465,19790704,安徽,1600,落叶林间,,无花无果,https://image.cvh.ac.cn/files/l/NFP/NFP0001125.jpg,,,,,,,,,, +糙叶五加,Eleutherococcus henryi,张守君、温丁朝,09-4325,20091109,江西,1120,森林,灌木,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0171513.jpg,,,,,,,,,, +,Eleutherococcus henryi var. henryi,,,,,,,,,,,,,,,,,,, +康定五加,Eleutherococcus lasiogyne,杨宗汉,86241,1986-08-,云南省,2600,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0070047.jpg,,,,,,,,,, +,Eleutherococcus lasiogyne,"朱官政,李馨",75815,19570804,重庆市,2100,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710369.jpg,,,,,,,,,, +康定五加,Eleutherococcus lasiogyne,生物所,9486,1975-07-,四川省,3000,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0070063.jpg,,,,,,,,,, +刺五加,Eleutherococcus senticosus,刀志灵;蔡磊;杨静;张品;杨佳俊;姚刚;孙卫邦,KIBDZL051B03,20171014,西藏,2777,高山松林、冷杉林、云杉混交林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1561830.jpg,,,,,,,,,, +刺五加,Eleutherococcus senticosus,刘家宜,174,19770531,河北省,1300,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00023245.jpg,,,,,,,,,, +刺五加,Eleutherococcus senticosus,,3515,19170906,内蒙古,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00023196.jpg,,,,,,,,,, +轮伞五加,Eleutherococcus verticillatus,J.J.Tang,,19890731,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2014316.jpg,,,,,,,,,, +,Eleutherococcus verticillatus,夏光成,2083,19610805,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00025723.jpg,,,,,,,,,, +,Eleutherococcus wilsonii var. pilosulus,吴征镒等,819,19860619,四川省,3000,紫果云杉林,有刺灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0446680.jpg,,,,,,,,,, +,Eleutherococcus wilsonii var. pilosulus,张永田、郎楷永等,4205,19660614,西藏自治区,3600,山坡竹灌丛中,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0446681.jpg,,,,,,,,,, +毛狭叶五加,Eleutherococcus wilsonii var. pilosulus,胡启明,7311,1973-08-,青海省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0070720.jpg,,,,,,,,,, +,Eleutherococcus wilsonii var. wilsonii,,,,,,,,,,,,,,,,,,, +幌菊,Ellisiophyllum pinnatum,广南队,5326270918,20160629,云南省,1652.5,草丛,多年生草本植物,无花有果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0028137.jpg,,,,,,,,,, +幌菊,Ellisiophyllum pinnatum,Wang Tso-Pin,14340,,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01373927.jpg,,,,,,,,,, +幌菊,Ellisiophyllum pinnatum,高成芝,刘治仁,26555,19840515,,1850,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI040091.jpg,,,,,,,,,, +四方蒿,Elsholtzia blanda,建水县普查队,5325240077,20190325,云南,1264,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1524781.jpg,,,,,,,,,, +四方蒿,Elsholtzia blanda,中越考察队,3,19641206,老宁,750,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/213739.jpg,,,,,,,,,, +四方蒿,Elsholtzia blanda,扎西次仁,西落,ZhongY657,20090913,西藏,2115,河谷针阔混交林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1387683.jpg,,,,,,,,,, +香薷,Elsholtzia ciliata,姜林,97008,19970803,陕西,,,,有花无果,https://image.cvh.ac.cn/files/l/SXU/00025241.jpg,,,,,,,,,, +香薷,Elsholtzia ciliata,熊豫宁,张建华,7582,20181022,湖北省,1700,公路边草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00628107.jpg,,,,,,,,,, +香茹草,Elsholtzia ciliata,程昌生、表益明,,198505,江西,350m,种植于山地,,有花无果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0006189.jpg,,,,,,,,,, +野香草,Elsholtzia cyprianii,宁乡组采集队,321,19861121,湖南省,500,山地,,有花无果,https://image.cvh.ac.cn/files/l/HUFD/0000746.jpg,,,,,,,,,, +野草香,Elsholtzia cyprianii,杨平、农时越、农素芸等,BL536,20200418,广西,~836,石灰岩石山;普遍,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00429197.jpg,,,,,,,,,, +长毛野香草,Elsholtzia cyprianii,W.P.Fang,5649,19281025,重庆,,on grassy slope,herb,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0009786.jpg,,,,,,,,,, +长毛野香草,Elsholtzia cyprianii var. longipilosa,刘琳,和凤军,zhwy-55,20090824,云南省,3378,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005144.jpg,,,,,,,,,, +长毛野香草,Elsholtzia cyprianii var. longipilosa,W.P.Fang,5649,19281025,重庆,,on grassy slope,herb,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0009786.jpg,,,,,,,,,, +长毛野香草,Elsholtzia cyprianii var. longipilosa,会东队,807,19781014,四川省,1800,屋侧 路旁 草地 地边,草本,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0009785.jpg,,,,,,,,,, +密花香薷,Elsholtzia densa,喻勋林,200909312,20090919,湖南,,,,,https://image.cvh.ac.cn/files/l/CSFI/CSFI054021.jpg,,,,,,,,,, +,Elsholtzia densa,杨金祥,3375,19731007,甘肃省,0~1550,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0566469.jpg,,,,,,,,,, +密花香薷,Elsholtzia densa,左忠 ;左伟;王雨,ZuoZh305,20190914,宁夏,1969,温带干草原次生林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1553843.jpg,,,,,,,,,, +毛穗香薷,Elsholtzia eriostachya,,8580505,19850726,Shemma,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/214303.jpg,,,,,,,,,, +毛穗香薷,Elsholtzia eriostachya,,14586,191708,云南省,1000,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/779107.jpg,,,,,,,,,, +毛穗香薷,Elsholtzia eriostachya,张卢水、毛星星,SUZLS02506,20180919,四川,3220,,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1560026.jpg,,,,,,,,,, +,Elsholtzia feddei,胡君、李丽、罗垚、蒋洪,SC-a-181-B24,20190918,四川,3351,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262714.jpg,,,,,,,,,, +高原香薷,Elsholtzia feddei,陈晓澄等,Chenxc-283,20170905,西藏,4300,高山草地河边,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019060.jpg,,,,,,,,,, +高原香薷,Elsholtzia feddei,刘慎谔,22893,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0566476.jpg,,,,,,,,,, +鸡骨柴,Elsholtzia fruticosa,,13,19750820,西藏,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717301769.jpg,,,,,,,,,, +鸡骨柴,Elsholtzia fruticosa,吕惠珍、李莹、岑海锋、杨成斌,451031121130105LY,20121130,广西,,草丛,路旁,黄棕壤,草本,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0191475.jpg,,,,,,,,,, +鸡骨柴,Elsholtzia fruticosa,黄升,DS3598,20110924,湖北省,1560,,灌木,无花有果,https://image.cvh.ac.cn/files/l/XBGH/009441.jpg,,,,,,,,,, +,Elsholtzia myosurus,"Forrest, George",7220,10-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00275763.jpg,,,,,,,,,, +,Elsholtzia myosurus,,11750,19380901,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0047910.jpg,,,,,,,,,, +鼠尾香薷,Elsholtzia myosurus,H.T.Tsai,56293,19331030,云南省 ,0~3000,,shrub,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0587387.jpg,,,,,,,,,, +,Elsholtzia pilosa,"Maire, Edouard-Ernest",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00275765.jpg,,,,,,,,,, +,Elsholtzia pilosa,,12282,19380913,湖南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0047902.jpg,,,,,,,,,, +长毛香薷,Elsholtzia pilosa,,1973-167,19731218,贵州省,0~1080,,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0566817.jpg,,,,,,,,,, +穗状香薷,Elsholtzia stachyodes,陈德媛,,19871020,贵州,80,,,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0073840.jpg,,,,,,,,,, +穗状香薷,Elsholtzia stachyodes,Yu,343,19350915,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00741570.jpg,,,,,,,,,, +穗状香薷,Elsholtzia stachyodes,邓姣姣、卫靜丽、刘常坤,DJJ-24-C-058,20200827,四川,2816.69m,山坡灌丛,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02061024.jpg,,,,,,,,,, +木香薷,Elsholtzia stauntonii,马毓泉,0,1957,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0026605.jpg,,,,,,,,,, +紫荆条,Elsholtzia stauntonii,Licent,2996,19160928,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00049586.jpg,,,,,,,,,, +木香薷,Elsholtzia stauntonii,K1-3,1913023,20190827,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0023271.jpg,,,,,,,,,, +球穗香薷,Elsholtzia strobilifera,陈家辉,王赟,刘德团等,YangYP-Q-3237,20100918,西藏,4456,河滩草地,沙砾地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1388104.jpg,,,,,,,,,, +小球穗香薷,Elsholtzia strobilifera,李延辉,5804,19641102,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/047198.jpg,,,,,,,,,, +球穗香薷,Elsholtzia strobilifera,曾刚五,212,19601012,贵州,,,草本,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0073841.jpg,,,,,,,,,, +大苞鞘花,Elytranthe albida,M.K.Li,2098,19391126,云南省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0364251.jpg,,,,,,,,,, +大苞鞘花,Elytranthe albida,方震东、和光、杨亲二,XZ-716,20071009,西藏自治区,1920,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002001.jpg,,,,,,,,,, +大苞鞘花,Elytranthe albida,"朱鑫鑫, 王君, 林庶",ZXX191663,20191204,云南,1962,亚热带常绿阔叶林,树上,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1485300.jpg,,,,,,,,,, +墨脱大苞鞘花,Elytranthe parasitica,"李渤生,倪志诚,程树志",4831,19830510,西藏自治区,1650,常绿阔叶林下常见灌木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491286.jpg,,,,,,,,,, +墨脱大苞鞘花,Elytranthe parasitica,C.E.Ridsdale,161,19760617,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0364315.jpg,,,,,,,,,, +,Embelia arunachalensis,,,,,,,,,,,,,,,,,,, +多花酸藤子,Embelia floribunda,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 杨云珊, 杨永平",16CS14393,20161111,西藏,1387,路边灌丛中,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1451590.jpg,,,,,,,,,, +多花酸藤子,Embelia floribunda,朱枫,张仲富,成梅,Wangsh-07ZX-034,20161007,云南,2032,路边,木质藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1436078.jpg,,,,,,,,,, +多花酸藤子,Embelia floribunda,任宪威,790148,19790318,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00015503.jpg,,,,,,,,,, +皱叶酸藤子,Embelia gamblei,780队,173,19781104,云南省,2700,常绿林缘,,无花有果,https://image.cvh.ac.cn/files/l/SXU/SD00019076.jpg,,,,,,,,,, +皱叶酸藤子,Embelia gamblei,"余新林, 赵玮",BSGLGStc400,20161207,云南,,高山灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1395572.jpg,,,,,,,,,, +皱叶酸藤子,Embelia gamblei,郭永杰,张桥蓉,秦少发,张凤琼,16CS14520,20161120,西藏,2217,公路边,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437687.jpg,,,,,,,,,, +当归藤,Embelia parviflora,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14458,20161115,西藏,1248,公路边,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445712.jpg,,,,,,,,,, +当归藤,Embelia parviflora,中越考察队,1724,19650125,新安,150,高草地,,有花无查,https://image.cvh.ac.cn/files/l/KUN/67880.jpg,,,,,,,,,, +当归藤,Embelia parviflora,anonymous,5787,19590625,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/HTC/HTC0007703.jpg,,,,,,,,,, +白花酸藤果,Embelia ribes,毛志伟,387,20191102,福建,354,路边,藤本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU079054.jpg,,,,,,,,,, +白花酸藤果,Embelia ribes,,s.n.,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01804630.jpg,,,,,,,,,, +,Embelia ribes,大瑶山综考队,811909,19811122,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00199700.jpg,,,,,,,,,, +,Embelia tsjeriam-cottam,,,,,,,,,,,,,,,,,,, +平叶酸藤子,Embelia undulata,李正辉、艾洪莲,AHL5211,20200706,广西,906,石山,坡中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1551754.jpg,,,,,,,,,, +平叶酸藤子,Embelia undulata,蔡杰,亚吉东,李昌洪,17CS15045,20170401,云南,1758,茶园,攀援灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1488504.jpg,,,,,,,,,, +长叶酸藤子,Embelia undulata,雷开东,4.33E+15,20150308,湖南省,278,,,无花无果,https://image.cvh.ac.cn/files/l/JIU/JIU12234.jpg,,,,,,,,,, +密齿酸藤子,Embelia vestita,覃营等,JWS201105012,20201105,广西,~557,山地,山谷,密林,黑灰壤;少见,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00434935.jpg,,,,,,,,,, +多脉酸藤子,Embelia vestita,曾宪锋,ZXF48070,20190522,广东,605,山谷林中,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0043225.jpg,,,,,,,,,, +密齿酸藤子,Embelia vestita,天峨采集队,451222140812001LY,20140812,广西壮族自治区,986,灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0161856.jpg,,,,,,,,,, +,Emilia scabra,,,,,,,,,,,,,,,,,,, +一点红,Emilia sonchifolia,侯元同,郭成勇,徐连升,侯春丽,12010565,20120916,山东省,255.9,山沟边路旁,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0039308.jpg,,,,,,,,,, +一点红,Emilia sonchifolia,刘正宇、张军等,RQHZ06226,20141104,四川省,450,荒地,草本,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0132271.jpg,,,,,,,,,, +一点红,Emilia sonchifolia,曹岚,360981191004257LY,20191004,江西,221,,一年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0010370.jpg,,,,,,,,,, +灯笼树,Enkianthus chinensis,张志英,7447,1959/7/30,甘肃,3000,,灌 木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0093821.jpg,,,,,,,,,, +灯笼树,Enkianthus chinensis,"熊济华,周子林",90902,19570521,重庆市,2180,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00194543.jpg,,,,,,,,,, +灯笼树,Enkianthus chinensis,"刘恩德,邹娇,王存花,李伟,李鹏映,陈婷,路子建,潘颖达",LED9847,20200817,云南,1945,林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1511271.jpg,,,,,,,,,, +毛叶吊钟花,Enkianthus deflexus,张贺静,2205,20120701,河南,710,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/HENU/HENU1902205.jpg,,,,,,,,,, +,Enkianthus deflexus,王海峰、何海、杜阳平等,DY0277,20190429,四川,1600,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0269439.jpg,,,,,,,,,, +毛叶吊钟花,Enkianthus deflexus,屠玉麟,F-12(3),19811027,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0005178.jpg,,,,,,,,,, +球菊,Epaltes australis,吴宝欢,张启彦,黄翠莹,于雷,LXP13-3296,20130728,湖南省株洲市,,平地、壤土(黄壤)、草地、村边、偶见种,陆生、草本、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00175696.jpg,,,,,,,,,, +鹅不食草,Epaltes australis,刘正宇、张军等,RQHZ06614,20140824,重庆市,288,荒地,小草本,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0132284.jpg,,,,,,,,,, +球菊,Epaltes australis,梁子宁、刘超娥、杜沛霖、周峰、王晓燕,450621131021025LY,20131021,广西壮族自治区,267,草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0134681.jpg,,,,,,,,,, +盾座苣苔,Epithema carnosum,柳江县普查队,450221190718009LY,20190718,广西,337,灌丛,洞内,石灰土;少,野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00425981.jpg,,,,,,,,,, +盾座苣苔,Epithema carnosum,肖斯悦;席辉辉;王祎晴,KIBGX095B01,20190815,云南,503,亚热带常绿阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1556690.jpg,,,,,,,,,, +盾座苣苔,Epithema carnosum,高连明,GLM-06030,20060721,贵州省,950,峡谷石灰山岩石上,,,https://image.cvh.ac.cn/files/l/KUN/1272414.jpg,,,,,,,,,, +喜花草,Eranthemum pulchellum,罗艳,XTBGLY001B09,20180515,云南,920,,灌木或草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1553331.jpg,,,,,,,,,, +喜花草,Eranthemum pulchellum,甘义兴,2681,19630218,,88,,,有花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI041535.jpg,,,,,,,,,, +,Eranthemum pulchellum,叶国栋,179,19770301,福建省,50,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01545645.jpg,,,,,,,,,, +,Eranthemum tubiflorum,,,,,,,,,,,,,,,,,,, +败酱叶菊芹,Erechtites valerianifolius,苍梧县普查队,450421200729069LY,20200729,广西,84,针阔混交,林下,黄壤;多;野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00430122.jpg,,,,,,,,,, +败酱叶菊芹,Erechtites valerianifolius,郝云庆,CSH13021,20141028,四川,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0095925.jpg,,,,,,,,,, +败酱叶菊芹,Erechtites valerianifolius,吕惠珍,农东新,岑海锋,李金花,451025131015024LY,20131015,广西壮族自治区,329,阔叶林,林缘,黄棕壤,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0106367.jpg,,,,,,,,,, +,Eremogone acicularis,,,,,,,,,,,,,,,,,,, +,Eremogone aksayqingensis,,,,,,,,,,,,,,,,,,, +,Eremogone baxoiensis,,,,,,,,,,,,,,,,,,, +,Eremogone brevipetala,,,,,,,,,,,,,,,,,,, +,Eremogone bryophylla,,,,,,,,,,,,,,,,,,, +,Eremogone capillaris,,,,,,,,,,,,,,,,,,, +,Eremogone depauperata,,,,,,,,,,,,,,,,,,, +,Eremogone edgeworthiana,,,,,,,,,,,,,,,,,,, +,Eremogone festucoides,,,,,,,,,,,,,,,,,,, +,Eremogone gerzensis,,,,,,,,,,,,,,,,,,, +,Eremogone griffithii,"F.Zaprijagaev,V.Zaprjagaeva",7539,19340720,,2800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900854.jpg,,,,,,,,,, +,Eremogone haitzeshanensis,,,,,,,,,,,,,,,,,,, +,Eremogone ischnophylla,,,,,,,,,,,,,,,,,,, +老牛筋,Eremogone juncea,王良信、王幼青,801039,19800722,黑龙江,,,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0003239.jpg,,,,,,,,,, +,Eremogone kansuensis,,,,,,,,,,,,,,,,,,, +,Eremogone pulvinata,,,,,,,,,,,,,,,,,,, +,Eremogone qinghaiensis,,,,,,,,,,,,,,,,,,, +,Eremogone roborowskii,,,,,,,,,,,,,,,,,,, +,Eremogone shannanensis,,,,,,,,,,,,,,,,,,, +,Erigeron acris,N.L.Chu,897,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/NKU/NK 011644.jpg,,,,,,,,,, +,Erigeron acris,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13253,20160820,新疆,1313,草场中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1449335.jpg,,,,,,,,,, +飞蓬,Erigeron acris,左大勋,陈和生,汪嘉熙,328,19540613,浙江省,,田边水旁路旁阳处,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00489255.jpg,,,,,,,,,, +长茎飞蓬,Erigeron acris subsp. politus,张磊,任玉锋,zlnmu2022076,20220709,宁夏,1797,园林绿化,草本,有花无果,https://image.cvh.ac.cn/files/l/NMU/NMU00677.jpg,,,,,,,,,, +一年蓬,Erigeron annuus,曾宪锋,ZXF52000,20190915,福建,620,山地林缘草丛,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0047139.jpg,,,,,,,,,, +一年蓬,Erigeron annuus,王正文、宋传涛、邸泽雷,王正文0815,20170726,内蒙古自治区呼伦贝尔市,558,草甸沼泽地,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0235834.jpg,,,,,,,,,, +一年蓬,Erigeron annuus,张华飞,860442,19861010,湖南省,420,丘陵路边,,有花无果,https://image.cvh.ac.cn/files/l/HUFD/0002035.jpg,,,,,,,,,, +香丝草,Erigeron bonariensis,复旦大学,78057,19580801,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/FJFC/FJFC0002887.jpg,,,,,,,,,, +香丝草,Erigeron bonariensis,雷开东,ZZ140827727,20140827,湖南湘西州,,路边,一或二年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU59727.jpg,,,,,,,,,, +野塘蒿,Erigeron bonariensis,刘全儒、何毅等,RQSB09585,20160814,河南省,114,,,,https://image.cvh.ac.cn/files/l/BNU/0028971.jpg,,,,,,,,,, +短葶飞蓬,Erigeron breviscapus,,1537,19600705,湖南,1100,山地路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01823836.jpg,,,,,,,,,, +短葶飞蓬,Erigeron breviscapus,"杨竞生,次仁平措",89-061,19891013,西藏,3650,山城草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825501.jpg,,,,,,,,,, +短萼飞蓬白舌变种,Erigeron breviscapus,邱炳云,51621,19560422,云南,,草坡,无荫,干燥,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1219513.jpg,,,,,,,,,, +小蓬草,Erigeron canadensis,蒋英,11721,19330000,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00488025.jpg,,,,,,,,,, +小蓬草,Erigeron canadensis,李启瑞,52263120190524513LY,20190524,贵州,328,草丛、中生、阳性、中温、钙质土、野生植物,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0101565.jpg,,,,,,,,,, +小蓬草,Erigeron canadensis,王跃华;申仕康等,YNUWYH016B01,20190801,云南,2280,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1564998.jpg,,,,,,,,,, +珠峰飞蓬,Erigeron himalajensis,胡文光 何铸,10932,19510818,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00033065.jpg,,,,,,,,,, +紫菀,Erigeron himalajensis,余奇、熊先华、李琳霖,THP-KD-4678,20170813,四川,3177-3217,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0240885.jpg,,,,,,,,,, +珠峰飞蓬,Erigeron himalajensis,西藏考察队,4122,19740820,西藏,4500,阳坡石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824346.jpg,,,,,,,,,, +多舌飞蓬,Erigeron multiradiatus,"李渤生,程树志",517,19820903,西藏,3150,冷杉林间杂交草灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824710.jpg,,,,,,,,,, +无毛多舌飞蓬,Erigeron multiradiatus,中甸队,713,19620813,云南省,3230,平坝草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/489141.jpg,,,,,,,,,, +多舌飞蓬,Erigeron multiradiatus,张永田,郎楷永,1668,19650817,西藏自治区,4300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/489123.jpg,,,,,,,,,, +展苞飞蓬,Erigeron patentisquama,陈晓澄等,4605,20130812,青海,3420,金露梅灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00022722.jpg,,,,,,,,,, +展苞飞蓬,Erigeron patentisquama,,,19620825,云南省,3700,,草本,,https://image.cvh.ac.cn/files/l/HITBC/0019500.jpg,,,,,,,,,, +展苞飞蓬,Erigeron patentisquama,刘杰,罗亚皇,刘基男,谭少林,YMT2600-3-1004,20130605,云南,2735,华山松-云南松林,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1437309.jpg,,,,,,,,,, +,Erigeron sublyratus,,,,,,,,,,,,,,,,,,, +苏门白酒草,Erigeron sumatrensis,李惠茹等,LHR00231,20140625,上海市,,荒地,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0126075.jpg,,,,,,,,,, +苏门白酒草,Erigeron sumatrensis,李惠茹、王樟华、闫小玲、严靖,RQHD00031,20140702,安徽省,17,省道房前屋后,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0099446.jpg,,,,,,,,,, +,Erigeron sumatrensis,王庆娃,537,19990803,陕西,,山坡上,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00608542.jpg,,,,,,,,,, +,Erigeron trisulcus,,,,,,,,,,,,,,,,,,, +,Eriocycla nuda var. nuda,,,,,,,,,,,,,,,,,,, +,Eriophyton sunhangii,"D. E. Boufford, J. H. Chen, S. L. Kelley, J. Li, R",32300,2004/8/13,,3920,,,,https://image.cvh.ac.cn/files/l/HUH/A00286210.jpg,,,,,,,,,, +,Eriophyton tuberosum,,,,,,,,,,,,,,,,,,, +绵参,Eriophyton wallichii,青藏队,11047,19821008,西藏,4600,山坡流石滩,,无花无果,https://image.cvh.ac.cn/files/l/PE/01820704.jpg,,,,,,,,,, +,Eriophyton wallichii,青藏队,3868,19810806,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/053513.jpg,,,,,,,,,, +绵参,Eriophyton wallichii,陈世龙,高庆波,张发起等,ChenSL0754,20090821,青海,4760,流石滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1388133.jpg,,,,,,,,,, +,Eriosolena composita,周仕顺,403,20011213,云南省,1530,思茅松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01598662.jpg,,,,,,,,,, +,Eriosolena composita,孙航,周浙昆等,1376(a),,西藏自治区,0,,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0469241.jpg,,,,,,,,,, +,Eriosolena composita,秦仁昌,50606,19520000,云南省 ,0,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0469221.jpg,,,,,,,,,, +,Eritrichium axilliflorum,,,,,,,,,,,,,,,,,,, +灰毛齿缘草,Eritrichium canum,吴征镒,1118,19860926,四川省,3100,林下林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/181493.jpg,,,,,,,,,, +灰毛齿缘草,Eritrichium canum,"邱娟, 冯建菊",LiuJQ0134,20080809,新疆,,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1380668.jpg,,,,,,,,,, +灰毛齿缘草,Eritrichium canum,邱娟、冯建菊,LiuJQ0134,20080809,新疆维吾尔自治区,4189,山坡,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/00002230.jpg,,,,,,,,,, +小灌齿缘草,Eritrichium fruticulosum,"张永田,郞楷永",4155,19660619,西藏自治区,4200,河边沙滩上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01338121.jpg,,,,,,,,,, +,Eritrichium lianyongshanii,,,,,,,,,,,,,,,,,,, +,Eritrichium minimum,"F.Miyamono,M.Amano etc",9580312,19950812,,4600,on under the rocks,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1224686.jpg,,,,,,,,,, +陀果具柄齿缘草,Eritrichium petiolare var. subturbinatum,魏来、郝加琛,15290,20150726,西藏自治区,5061,石缝,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0041081.jpg,,,,,,,,,, +匙叶齿缘草,Eritrichium spathulatum,西藏生物所植物组,224,19880801,西藏自治区,4380,高山灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0006028.jpg,,,,,,,,,, +匙叶齿缘草,Eritrichium spathulatum,,5150,19580510,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717100519.jpg,,,,,,,,,, +匙叶齿缘草,Eritrichium spathulatum,J.F.Duthie,13,19990716,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0536532.jpg,,,,,,,,,, +宽翅百里香叶齿缘草,Eritrichium thymifolium,郝加琛、周瑜,16897,20160727,西藏自治区,,砾石山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0040553.jpg,,,,,,,,,, +假鹤虱,Eritrichium thymifolium,侯元同,郭成勇,侯春丽,201605220-2,20160501,四川省,2122.42,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0025587.jpg,,,,,,,,,, +假鹤虱,Eritrichium thymifolium,,,19580808,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/138252164.jpg,,,,,,,,,, +宽翅百里香叶齿缘草,Eritrichium thymifolium subsp. latialatum,郝加琛、周瑜,16897,20160727,西藏自治区,,砾石山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0040549.jpg,,,,,,,,,, +宽翅齿缘草,Eritrichium thymifolium subsp. latialatum,青藏队,76-8330,19760729,西藏,4800,新堆积坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1218632.jpg,,,,,,,,,, +宽翅百里香叶齿缘草,Eritrichium thymifolium subsp. latialatum,魏来、郝加琛,16898,20160727,台湾省,,砾石山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0040514.jpg,,,,,,,,,, +条叶齿缘草,Eritrichium wangwencaii,郝加琛,周瑜,16902,20160727,西藏自治区,,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0040865.jpg,,,,,,,,,, +芝麻菜,Eruca vesicaria subsp. sativa,陈炳辉,146,1986-06-,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0136815.jpg,,,,,,,,,, +芝麻菜,Eruca vesicaria subsp. sativa,陆文光,20503,1961-03-,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0136814.jpg,,,,,,,,,, +芝麻菜,Eruca vesicaria subsp. sativa,刘立品,820368,19820603,甘肃,,地边,草本,有花无果,https://image.cvh.ac.cn/files/l/QYTC/QYTC0001085.jpg,,,,,,,,,, +,Erycibe paniculata,R.Sundara Raghavan,97432,19641015,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0552800.jpg,,,,,,,,,, +,Erycibe subspicata,"Ulf Swenson, Sylvain Razafimandimbison, Do Van Tru",Swenson & al. 2059,20181003,,,,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0247562.jpg,,,,,,,,,, +锥序丁公藤,Erycibe subspicata,张志松、张永田,8139,19600813,贵州省,0~700,,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0554136.jpg,,,,,,,,,, +锥序丁公藤,Erycibe subspicata,C.W.Wang,80834,19361100,云南省 ,900,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00210955.jpg,,,,,,,,,, +,Erysimum absconditum,,,,,,,,,,,,,,,,,,, +,Erysimum benthamii,"Soulié, J.A.",39bis,,,,,,,https://image.cvh.ac.cn/files/l/P/P00692391.jpg,,,,,,,,,, +四川糖芥,Erysimum benthamii,青藏队横断山队,3667,19810723,云南省,3600,山坡 高山栎林缘,,有花有果,https://image.cvh.ac.cn/files/l/PE/01109483.jpg,,,,,,,,,, +四川糖芥,Erysimum benthamii,PE西藏考察队,7243,20180614,西藏自治区,4163,河谷坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332830.jpg,,,,,,,,,, +外折糖芥,Erysimum deflexum,王金亭,3633,19610726,西藏自治区,4600,阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02067811.jpg,,,,,,,,,, +外折糖芥,Erysimum deflexum,张林、李星月、张晓严,4-181,20180612,西藏,4698,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023701.jpg,,,,,,,,,, +外折糖芥,Erysimum deflexum,,975,1965.5.1,新疆维吾尔自治区 ,2600,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00012939.jpg,,,,,,,,,, +蒙古糖芥,Erysimum flavum,承德队,67,19710630,河北省,,山坡,灌木林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01053677.jpg,,,,,,,,,, +蒙古糖芥,Erysimum flavum,黄平超,72537,20070719,贵州省,1000,丛林,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0013921.jpg,,,,,,,,,, +,Erysimum flavum,黄学文,乌丽莎,Huangxw1055,20120527,内蒙古,661,沙质草原,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300808.jpg,,,,,,,,,, +阿尔泰糖芥,Erysimum flavum subsp. altaicum,关克俭,4624,19570825,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01054305.jpg,,,,,,,,,, +,Erysimum flavum subsp. altaicum,胡君、王东超、李丽、唐露,SC-a-081-B09,20180811,西藏,,高山栎群落中,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609492.jpg,,,,,,,,,, +紫花糖芥,Erysimum funiculosum,PE西藏考察队,8042,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332388.jpg,,,,,,,,,, +,Erysimum funiculosum,陈世龙,高庆波,张发起,李印虎,付鹏程,邢睿,ChenSL1282,20110726,青海,4380,高寒草甸,高山河谷,金露梅灌丛,匍匐草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1300809.jpg,,,,,,,,,, +紫花糖芥,Erysimum funiculosum,杨永昌,1352,19650802,青海省,4500,河滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01054308.jpg,,,,,,,,,, +山柳菊叶糖芥,Erysimum hieraciifolium,魏来,郝加琛,15223,20150724,西藏自治区,4496,山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0026892.jpg,,,,,,,,,, +山柳叶糖芥,Erysimum hieraciifolium,杨竞生,90-330,1990-07-,西藏省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0136874.jpg,,,,,,,,,, +,Erysimum hieraciifolium,罗建,汪书丽,任德智,L046,20100903,西藏,3203,江边沙坡,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235787.jpg,,,,,,,,,, +,Erysimum pachycarpum,,,,,,,,,,,,,,,,,,, +,Erysimum robustum,,,,,,,,,,,,,,,,,,, +矮糖芥,Erysimum schlagintweitianum,张永田,郎楷永,3831,19660611,西藏自治区,3750,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0498580.jpg,,,,,,,,,, +矮糖芥,Erysimum schlagintweitianum,徐朗然,328,19820701,西藏,4200,山地河谷草甸,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0436196.jpg,,,,,,,,,, +,Erysimum schlagintweitianum,R. Strachey & J. E. Winterbottom,2,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00112019.jpg,,,,,,,,,, +,Erysimum × cheiri,,,,,,,,,,,,,,,,,,, +,Erythranthe bracteosa,,,,,,,,,,,,,,,,,,, +,Erythranthe nepalensis,,,,,,,,,,,,,,,,,,, +,Erythranthe procera,,,,,,,,,,,,,,,,,,, +,Erythranthe tenella,,,,,,,,,,,,,,,,,,, +,Erythranthe tibetica,,,,,,,,,,,,,,,,,,, +赤苍藤,Erythropalum scandens,罗城县普查队,451225130423008LY,20130423,广西,201,灌丛,林缘,石灰土,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0114500.jpg,,,,,,,,,, +赤苍藤,Erythropalum scandens,"张挺, 刘成, 刘发山, 肖波|1424",09CS1319,20090619,云南,,河谷山坡林中,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1329882.jpg,,,,,,,,,, +赤苍藤,Erythropalum scandens,"李渤生,程树志等",5016,19830610,西藏自治区,900,半常绿雨林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00875075.jpg,,,,,,,,,, +白酒草,Eschenbachia japonica,张代贵、陈功锡,LXP-064926,20150426,江西省,865,山坡(倾斜),壤土,路旁,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU01607.jpg,,,,,,,,,, +白酒草,Eschenbachia japonica,罗金龙、温兆捷,531,20170619,湖南,270,路边,,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI075266.jpg,,,,,,,,,, +白酒草,Eschenbachia japonica,吕惠珍、潘春柳、岑海锋,451026130318029LY,20130318,广西壮族自治区,1094,灌丛,林缘,石灰土,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0115700.jpg,,,,,,,,,, +粘毛白酒草,Eschenbachia leucantha,"胡建湘,王跃芳,李金晶",108,20180307,云南,,C51,草本,无花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026381.jpg,,,,,,,,,, +,Eskemukerjea megacarpum,H.Takayama et al.,92,19920724,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01269737.jpg,,,,,,,,,, +都丽菊,Ethulia conyzoides,,5518,0,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/041175.jpg,,,,,,,,,, +,Ethulia conyzoides,王启无C.W.Wang,77213,19360700,云南省 ,1400,Pond side,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00489629.jpg,,,,,,,,,, +都丽菊,Ethulia conyzoides,唐海华,5222291605181104LY,20160518,贵州省,400,野生植物、中生、阳性、草丛、酸性土、中温,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0050002.jpg,,,,,,,,,, +,Eupatorium cannabinum,D.Mititelu et al.,54,19700728,,400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01703259.jpg,,,,,,,,,, +大麻叶泽兰,Eupatorium cannabinum,徐连升,X140033,20130811,吉林省,757,阳坡 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02037540.jpg,,,,,,,,,, +大麻叶泽兰,Eupatorium cannabinum,,1679,19231007,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00097745.jpg,,,,,,,,,, +,Eupatorium chinense,,255,,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00553867.jpg,,,,,,,,,, +,Eupatorium chinense,安徽综合队,60229,19590627,安徽省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0600375.jpg,,,,,,,,,, +,Eupatorium chinense,秦岭队,10545,19580719,甘肃省,,阴处 路旁 灌木 丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01781433.jpg,,,,,,,,,, +异叶泽兰,Eupatorium heterophyllum,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201265,20200726,西藏,2230,农田边,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1505540.jpg,,,,,,,,,, +异叶泽兰,Eupatorium heterophyllum,武攻队,811,19790823,福建省,0~1300,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0600472.jpg,,,,,,,,,, +异叶泽兰,Eupatorium heterophyllum,王晋飞,环-北京林亚大学队-,20100811,贵州省,1108,河谷中,草本,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00075725.jpg,,,,,,,,,, +,Euphrasia chumbica,"Cooper, R.E.",725,26-Aug-13,,,,,,https://image.cvh.ac.cn/files/l/E/E00273641.jpg,,,,,,,,,, +大花小米草,Euphrasia jaeschkei,魏来、郝加琛,15423,20150729,西藏,3000,路边草坪,草本,,https://image.cvh.ac.cn/files/l/BNU/0026011.jpg,,,,,,,,,, +大花小米草,Euphrasia jaeschkei,西藏中草药普查队,276,19720616,西藏自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/80072.jpg,,,,,,,,,, +,Euphrasia melanosticta,,,,,,,,,,,,,,,,,,, +高枝小米草,Euphrasia pectinata,王作宾,16209,19520818,陕西省,0~1900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0556002.jpg,,,,,,,,,, +小米草,Euphrasia pectinata,杨容,YR20160809-6,20160809,甘肃省,,路边,,,https://image.cvh.ac.cn/files/l/BNU/0027096.jpg,,,,,,,,,, +,Euphrasia pectinata,"李振宇,范晓虹,傅连中等",12450,20120730,新疆维吾尔自治区,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005327.jpg,,,,,,,,,, +短腺小米草,Euphrasia regelii,"科学院,黄河队,甘一队",2314,1956/08/,宁夏,,,"草本,直立",有花有果,https://image.cvh.ac.cn/files/l/WUK/0083134.jpg,,,,,,,,,, +短腺小米草,Euphrasia regelii,李思峰、黎斌、张莹,11626,20080815,陕西省,2087,山坡灌木丛下,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/002114.jpg,,,,,,,,,, +短腺小米草,Euphrasia regelii,杜庆,76-0326,19760629,宁夏回族自治区,1850,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/64105.jpg,,,,,,,,,, +,Euphrasia regelii subsp. kangtienensis,北京植物所横断山队,1643,19810719,云南省,3100,沼泽草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486288.jpg,,,,,,,,,, +,Euphrasia regelii subsp. kangtienensis,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-138-B14,20190822,四川,3951,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262420.jpg,,,,,,,,,, +,Euphrasia regelii subsp. kangtienensis,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-147-B23,20190824,西藏,3965,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262423.jpg,,,,,,,,,, +,Euploca strigosa,P.Wit,3054,19750607,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01942633.jpg,,,,,,,,,, +尖叶柃木,Eurya acuminata,朱志淞,276,19510901,广东,,疏林中,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00026519.jpg,,,,,,,,,, +尾尖叶柃,Eurya acuminata,刘淼等,A60016,20060515,安徽省,400,生于山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802061.jpg,,,,,,,,,, +尖叶柃,Eurya acuminata,毕国昌,1046,19600822,安徽,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00026488.jpg,,,,,,,,,, +,Eurya arunachalensis,,,,,,,,,,,,,,,,,,, +云南凹脉柃,Eurya cavinervis,李光照,14950,19970621,广西壮族自治区,250,山坡灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/00717938.jpg,,,,,,,,,, +云南凹脉柃,Eurya cavinervis,管中天,20433,19590814,四川省,2450,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0257671.jpg,,,,,,,,,, +平脉柃,Eurya cavinervis,中德采集队,1127,19581122,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0257673.jpg,,,,,,,,,, +岗柃,Eurya groffii,PE-古蔺考察队,843,20100907,四川省,1070~977,林缘,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01853674.jpg,,,,,,,,,, +岗柃,Eurya groffii,H.C. Wang,7414,1928-11-,广东; KWANGTUNG,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00093862.jpg,,,,,,,,,, +岗柃,Eurya groffii,Y. Tsiang,9208,1930-11-,贵州; KWEICHOW,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00093890.jpg,,,,,,,,,, +偏心叶柃,Eurya inaequalis,青藏队植被组,2762,19740825,西藏自治区,2180,山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01518731.jpg,,,,,,,,,, +偏心叶柃,Eurya inaequalis,青藏队,8694,19820724,云南省,2600,Tsuga林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01129042.jpg,,,,,,,,,, +偏心叶柃,Eurya inaequalis,H.T.Tsai,60184,19340615,云南省 ,1400,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0259229.jpg,,,,,,,,,, +柃木,Eurya japonica,邢吉庆,10826,1959/8/9,湖北省,820,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0129042.jpg,,,,,,,,,, +柃木,Eurya japonica,王名金,2155,19560618,江苏省,250,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0259242.jpg,,,,,,,,,, +柃木,Eurya japonica,詹选怀、彭焱松等,LXP0727,20131119,江西,297,山坡、密林,灌木,有花无果,https://image.cvh.ac.cn/files/l/LBG/LBG00133161.jpg,,,,,,,,,, +细枝柃,Eurya loquaiana,川黔队,182,19560425,重庆市,725,山地 山坡 阳处 疏密林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02083513.jpg,,,,,,,,,, +细枝柃,Eurya loquaiana,2015生态实习组,LXP-13-20075,20150726,江西省赣州市,,山谷、腐殖土、疏林、阴处,陆生、灌木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00180670.jpg,,,,,,,,,, +细枝柃,Eurya loquaiana,"张志耘,李良千等",2014-050,20140517,江西省,1150,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02015445.jpg,,,,,,,,,, +细齿叶柃,Eurya nitida,"刘博, 李群武, 曹永强",GX626,20170831,广西,210,热带季雨林沟谷,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1456561.jpg,,,,,,,,,, +细齿叶柃,Eurya nitida,"Tsang, W.T.",29039,1939/5/5,东京; Tonkin,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00094221.jpg,,,,,,,,,, +细齿叶柃,Eurya nitida,"Lau, S.K.",4416,1934/9/9,江西; KIANGSI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00094170.jpg,,,,,,,,,, +滇四角柃,Eurya paratetragonoclada,白洪兵、海仙,5333241812011046LY,20181201,云南,3180,,乔木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010135.jpg,,,,,,,,,, +滇四角柃,Eurya paratetragonoclada,青藏队,9998,19820907,西藏自治区,2900,山坡Picea林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/450101.jpg,,,,,,,,,, +滇四角柃,Eurya paratetragonoclada,C.W.Wang,68241,19350800,云南省,3400,Mountain slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00807912.jpg,,,,,,,,,, +肖樱叶柃,Eurya pseudocerasifera,王启无,72320,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0275988.jpg,,,,,,,,,, +,Eurya pseudocerasifera,黄连山保护区科研所,HLS0311,20110524,云南,,公路边,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1251013.jpg,,,,,,,,,, +肖樱叶柃,Eurya pseudocerasifera,高锡朋,53576,,广东,1200,林中近坑,乔木,无花无果,https://image.cvh.ac.cn/files/l/JXU/JXU0014188.jpg,,,,,,,,,, +毛果柃,Eurya trichocarpa,吊罗山队,3136,19541218,海南省,930,高山花岗岩 水旁 山谷 阳处 散生少数,,有花有果,https://image.cvh.ac.cn/files/l/PE/00877045.jpg,,,,,,,,,, +毛果柃,Eurya trichocarpa,旷仁平,LXP03-06742,20150810,江西,,山谷,壤土,疏林,路旁,陆生灌木直立,有花无果,https://image.cvh.ac.cn/files/l/HNNU/HNNU00064697.jpg,,,,,,,,,, +毛果柃,Eurya trichocarpa,,Q50,19620925,广西壮族自治区,700,落叶阔叶林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01989975.jpg,,,,,,,,,, +,Eutrema altaicum,王忠涛等,463,20070628,新疆维吾尔自治区,1776,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995575.jpg,,,,,,,,,, +,Eutrema bouffordii,张建文,杨斌,陈洪梁,Zh539,20130829,青海省,4530,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1260748.jpg,,,,,,,,,, +,Eutrema bouffordii,"D. E. Boufford, J. H. Chen, K. Fujikawa, S. L. Kel",33524,2005/7/26,,4560~4875,,,,https://image.cvh.ac.cn/files/l/HUH/A00286208.jpg,,,,,,,,,, +三角叶山萮菜,Eutrema deltoideum,王启无,69017,19350800,云南省,3600,grassy slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/01054570.jpg,,,,,,,,,, +三角叶山萮菜,Eutrema deltoideum,易思荣,973001,19980429,重庆市,1120,林缘,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00624626.jpg,,,,,,,,,, +,Eutrema deltoideum,易思荣,972863,19980420,重庆,,沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00602107.jpg,,,,,,,,,, +,Eutrema heterophyllum,"Forrest, George",14385,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00083301.jpg,,,,,,,,,, +密序山萮菜,Eutrema heterophyllum,"亚吉东, 张桥蓉, 胡枭剑",16CS12812,20160528,新疆,,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1441844.jpg,,,,,,,,,, +,Eutrema heterophyllum,徐波,陈光富,陈林杨,董金龙等,SunH-07ZX-1435,20080730,西藏,4418,高山灌丛,流石滩,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1300811.jpg,,,,,,,,,, +,Eutrema himalaicum,"Delavay, J.M.",701,1884-7-11,,,,,,https://image.cvh.ac.cn/files/l/P/P02272672.jpg,,,,,,,,,, +川滇山萮菜,Eutrema himalaicum,俞德俊,14370,19370925,四川省,3300,草坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01054633.jpg,,,,,,,,,, +川滇山萮菜,Eutrema himalaicum,蓝顺彬,528,19850817,云南省,4300,潮湿沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01054634.jpg,,,,,,,,,, +,Eutrema hookeri,青藏队补点队,751521,19750825,西藏自治区,4500,山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01122620.jpg,,,,,,,,,, +,Eutrema lowndesii,,,,,,,,,,,,,,,,,,, +,Eutrema nepalense,,,,,,,,,,,,,,,,,,, +,Eutrema pseudocordifolium,,,,,,,,,,,,,,,,,,, +,Eutrema scapiflorum,,,,,,,,,,,,,,,,,,, +,Eutrema schulzii,,7247,19740703,四川省,4150,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01161747.jpg,,,,,,,,,, +,Eutrema sherriffii,,,,,,,,,,,,,,,,,,, +,Eutrema sinense,,,,,,,,,,,,,,,,,,, +日本山萮菜,Eutrema tenue,,,19420501,,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00035659.jpg,,,,,,,,,, +日本山萮菜,Eutrema tenue,无,290,19590502,四川省,2350,林下草地,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0498746.jpg,,,,,,,,,, +日本山萮菜,Eutrema tenue,杨金祥,894,19590610,陕西省,3100,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/01161743.jpg,,,,,,,,,, +,Eutrema wuchengyii,,,,,,,,,,,,,,,,,,, +,Exacum nanum,,,,,,,,,,,,,,,,,,, +藻百年,Exacum tetragonum,M.K.Li,5,19390916,云南省 ,1500,under pine forests, grassy place,herb,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0279452.jpg,,,,,,,,,, +藻百年,Exacum tetragonum,崔友文,10295,19570714,陕西省,1300,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0028196.jpg,,,,,,,,,, +藻百年,Exacum tetragonum,无,粤082,19751024,广东,,,,有花无果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0005916.jpg,,,,,,,,,, +金养麦,Fagopyrum dibotrys,中药系14级,208153,2002,山西,,,,有花有果,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0005272.jpg,,,,,,,,,, +金荞麦,Fagopyrum dibotrys,鞠文彬,郑臣臣,THP-KD-6751,20170818,四川,3629,草地灌丛,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243198.jpg,,,,,,,,,, +金荞麦,Fagopyrum dibotrys,俞德浚,19,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0121836.jpg,,,,,,,,,, +荞麦,Fagopyrum esculentum,廖文波,JLS-2012-059,20121019,江西省宜春市,,, ,,https://image.cvh.ac.cn/files/l/SYS/SYS00175669.jpg,,,,,,,,,, +荞麦,Fagopyrum esculentum,侯宽昭,70048,19330922,海南省,100,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00167039.jpg,,,,,,,,,, +,Fagopyrum esculentum,石同岱,1067,19610719,甘肃,,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00007403.jpg,,,,,,,,,, +心叶野荞麦,Fagopyrum gilesii,任再金,1-1562,19820729,西藏,2400,烂沧江边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01832402.jpg,,,,,,,,,, +心叶野荞麦,Fagopyrum gilesii,,34742,19590815,河南省,1150,"山谷,岩石缝",,有花无果,https://image.cvh.ac.cn/files/l/PE/00167236.jpg,,,,,,,,,, +心叶野荞麦,Fagopyrum gilesii,周仕顺,5805,20090516,云南省,2900,山坡流石滩干燥处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869303.jpg,,,,,,,,,, +细柄野荞麦,Fagopyrum gracilipes,李思锋,黎斌,张莹等,11352,2008/8/9,陕西,1449,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/531180.jpg,,,,,,,,,, +,Fagopyrum gracilipes,"Henry, Augustine",4742,1885,,,,,,https://image.cvh.ac.cn/files/l/E/E00012199.jpg,,,,,,,,,, +细柄荞麦,Fagopyrum gracilipes,张代贵、王业清、朱晓琴,2077,20170817,湖北宜昌,1335,路边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE11264.jpg,,,,,,,,,, +,Fagopyrum homotropicum,,,,,,,,,,,,,,,,,,, +疏穗小野荞麦,Fagopyrum leptopodum var. grossii,于胜祥,侯元同,赵以民,张晓霞,Feb-94,20110805,四川,1116,路边山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0057822.jpg,,,,,,,,,, +疏穗小野荞麦,Fagopyrum leptopodum var. grossii,滇西北金沙江队,6434,19630811,云南省,1320,公路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00240158.jpg,,,,,,,,,, +疏穗小野荞麦,Fagopyrum leptopodum var. grossii,青藏补点组,5993,19760900,西藏自治区,3000,山坡,路边,深根草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0122209.jpg,,,,,,,,,, +苦荞,Fagopyrum tataricum,周全来,巴超群,刘桂材,2-400,20180720,内蒙古,499米,草甸草地,,有花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0252776.jpg,,,,,,,,,, +苦荞麦,Fagopyrum tataricum,戴天伦,106344,19581004,重庆市,2000,杂草中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00167671.jpg,,,,,,,,,, +苦荞麦,Fagopyrum tataricum,李雄、龚佑科,19071823,20190418,湖南,650,溪沟旁,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI071312.jpg,,,,,,,,,, +,Fagopyrum tibeticum,,,,,,,,,,,,,,,,,,, +硬枝野荞麦,Fagopyrum urophyllum,李鸣岗,29,19390000,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0122305.jpg,,,,,,,,,, +,Fagopyrum urophyllum,杨青松,星耀武,苏涛,ZhouZK-07ZX-0296,20080907,云南,2522,路边荒地,木质藤本,,https://image.cvh.ac.cn/files/l/KUN/1240395.jpg,,,,,,,,,, +硬枝野荞麦,Fagopyrum urophyllum,"税玉良,陈文红等",64057,20060729,云南省,1960,石灰岩山林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859341.jpg,,,,,,,,,, +灰莉,Fagraea ceilanica,侯宽昭,70947,19330705,海南岛,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00093307.jpg,,,,,,,,,, +灰莉,Fagraea ceilanica,李瑞锋、孟德昌、杨自猛,295,20200324,广西,~5,栽培,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00436915.jpg,,,,,,,,,, +灰莉,Fagraea ceilanica,C. W. Wang,87340,19400229,云南省 ,,Hilly slope,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00380789.jpg,,,,,,,,,, +木藤蓼,Fallopia aubertii,刘正宇,20817,19940525,贵州省,950,路边土坎上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00164903.jpg,,,,,,,,,, +木藤蓼,Fallopia aubertii,梅里队,25166,19920605,云南,2430,,半灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG006161.jpg,,,,,,,,,, +木藤蓼,Fallopia aubertii,李本良等7人,830431,19830810,山西,1100,,,有花有果,https://image.cvh.ac.cn/files/l/SXU/00025800.jpg,,,,,,,,,, +卷茎蓼,Fallopia convolvulus,关广清,关广清B42,19800808,辽宁省本溪市,,旱田、果园,,无花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF003917.jpg,,,,,,,,,, +蔓首乌,Fallopia convolvulus,叶喜阳,YSD2012013,20120921,浙江省,,村旁路边,草原,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0032448.jpg,,,,,,,,,, +蔓首乌,Fallopia convolvulus,李宏庆等,SDP02958,20110616,上海市,,植物园,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0061681.jpg,,,,,,,,,, +齿翅蓼,Fallopia dentatoalata,杨雅玲,793,19730811,内蒙古自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/IFP/04203004x0071.jpg,,,,,,,,,, +齿翅蓼,Fallopia dentatoalata,,,,,,,,无花有果,https://image.cvh.ac.cn/files/l/IFP/04203004x0072.jpg,,,,,,,,,, +齿翅蓼,Fallopia dentatoalata,BNU2015级,4-127,20170829,北京,1000~1200,路边,,无花无果,https://image.cvh.ac.cn/files/l/BJM/0240092.jpg,,,,,,,,,, +,Fernandoa adenophylla,"蔡杰, 杨雪飞, 杨珺, Tial Cung Ling",15CS10709,20151208,马圭,341,roadside open thickets.,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1446784.jpg,,,,,,,,,, +,Fernandoa adenophylla,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180462,20181110,Mon State,,,Tree,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498652.jpg,,,,,,,,,, +河西阿魏,Ferula hexiensis,河西队,101,19670807,甘肃省,,坡低湿处,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00033263.jpg,,,,,,,,,, +河西阿魏,Ferula hexiensis,不祥,?,?,青海省,0,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/139415.jpg,,,,,,,,,, +草甸阿魏,Ferula kingdon-wardii,郭本兆 黄荣福,?,19700905,西藏自治区,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/133314.jpg,,,,,,,,,, +草甸阿魏,Ferula kingdon-wardii,王启无,70151,19350900,云南省,2700,Grassy slope,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0461993.jpg,,,,,,,,,, +,Ferula kingdon-wardii,"Kingdon-Ward, Francis",5060,20-Apr-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00002545.jpg,,,,,,,,,, +榄绿阿魏,Ferula olivacea,青藏队,12451,19830726,四川省,3400,山坡高木栎林下,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0462007.jpg,,,,,,,,,, +榄绿阿魏,Ferula olivacea,联大,3506,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0461997.jpg,,,,,,,,,, +榄绿阿魏,Ferula olivacea,,583,,四川,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715002131.jpg,,,,,,,,,, +,Firmiana colorata,"Fung,H.",20056,19320430,海南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01303943.jpg,,,,,,,,,, +,Firmiana colorata,中苏云南联合考察团,7792,19570000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01303941.jpg,,,,,,,,,, +火桐,Firmiana colorata,,B 0731,,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0262565.jpg,,,,,,,,,, +广西火桐,Firmiana kwangsiensis,"朱鑫鑫,王君",ZXX18243,20180811,云南,1470,亚热带常绿阔叶林,林中,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1459953.jpg,,,,,,,,,, +广西火桐,Firmiana kwangsiensis,许为斌,黄至欢,陆奇丰,覃祖红,GXIBXWB018,20180323,广西,285,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1500547.jpg,,,,,,,,,, +广西火桐,Firmiana kwangsiensis,汪韬,460,20200628,福建,59,路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/AU/AU080882.jpg,,,,,,,,,, +连翘,Forsythia suspensa,唐盘昌,62-102,19620430,山东,,,,无花无果,https://image.cvh.ac.cn/files/l/JSPC/JSPC106442.jpg,,,,,,,,,, +连翘,Forsythia suspensa,水86级,,19880713,河南,420,栽培,灌木,无花有果,https://image.cvh.ac.cn/files/l/BJFC/00121719.jpg,,,,,,,,,, +连翘,Forsythia suspensa,,s.n.,19550425,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0458186.jpg,,,,,,,,,, +锈毛梣,Fraxinus ferruginea,南岭队,832,19850813,广东省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0458540.jpg,,,,,,,,,, +,Fraxinus ferruginea,A. Henry,11864A,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00073867.jpg,,,,,,,,,, +锈毛梣,Fraxinus ferruginea,祈承经,S-07,19560700,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0458550.jpg,,,,,,,,,, +多花梣,Fraxinus floribunda,廖日京,13430,19920721,台湾省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00093581.jpg,,,,,,,,,, +,Fraxinus floribunda,"李渤生,程树志,倪志诚",3722,19830523,西藏自治区,1800,常绿阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01528427.jpg,,,,,,,,,, +多花梣,Fraxinus floribunda,植三,157,19580000,福建省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/133242484.jpg,,,,,,,,,, +光蜡树,Fraxinus griffithii,蒋英,692,1936,香港,,密林中,,有花有果,https://image.cvh.ac.cn/files/l/AU/AU086401.jpg,,,,,,,,,, +光蜡树,Fraxinus griffithii,N.Fukuoka,11355,19820429,Nagato,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/27748.jpg,,,,,,,,,, +光蜡树,Fraxinus griffithii,吴金清,马小业,姚其伟,5303,20050528,湖北,510,,乔木,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0183641.jpg,,,,,,,,,, +,Fraxinus paxiana,J.F.ROCK,3652,19320500,云南省,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/133242607.jpg,,,,,,,,,, +秦岭梣,Fraxinus paxiana,李思峰、王答琪、黎斌、张莹、陆俊杰,10319,20080529,陕西省,1800,疏林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH010152.jpg,,,,,,,,,, +秦岭梣,Fraxinus paxiana,傅坤俊,15960,1964/7/11,甘肃省,1450,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0363699.jpg,,,,,,,,,, +锡金梣,Fraxinus sikkimensis,余奇、郑臣臣,THP-KD-0610,20170603,四川,3932,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241977.jpg,,,,,,,,,, +,Fraxinus sikkimensis,青藏队植被组,3116,19740907,西藏自治区,1000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01485793.jpg,,,,,,,,,, +锡金梣,Fraxinus sikkimensis,何铸,12941,19520624,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00093655.jpg,,,,,,,,,, +,Fraxinus xanthoxyloides,Harry Smith,885,19210914,河北省,1700,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01488729.jpg,,,,,,,,,, +,Fraxinus xanthoxyloides,新疆综合考察队,195,19590602,新疆维吾尔自治区,,庭院中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01488728.jpg,,,,,,,,,, +椒叶梣,Fraxinus xanthoxyloides,林有润,74-1417,19740925,新疆维吾尔自治区 ,550,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0458970.jpg,,,,,,,,,, +天人菊,Gaillardia pulchella,王光正,85,19500810,黑龙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/14199999x0037.jpg,,,,,,,,,, +天人菊,Gaillardia pulchella,刘昉勋,1059,19510730,江苏省,,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ047277.jpg,,,,,,,,,, +天人菊,Gaillardia pulchella,陈少卿,1939,19420721,湖南省,,,,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00024752.jpg,,,,,,,,,, +鼬瓣花,Galeopsis bifida,邬文祥,4199,19580808,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00242900.jpg,,,,,,,,,, +鼬瓣花,Galeopsis bifida,刘慎谔,3724,19510830,吉林省,390,,,无花有果,https://image.cvh.ac.cn/files/l/IFP/12608001x0007.jpg,,,,,,,,,, +柔毛委陵菜,Galeopsis bifida,刘宇轩,BJTC008860,20190701,北京市,946,山坡林地,草本,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008860.jpg,,,,,,,,,, +牛膝菊,Galinsoga parviflora,杨人俊,15-Jun,20150801,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF005947.jpg,,,,,,,,,, +牛膝菊,Galinsoga parviflora,C.W.Wang,67799,19350800,云南省 ,2800,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00104879.jpg,,,,,,,,,, +牛膝菊,Galinsoga parviflora,17k3-3,226536,20190828,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0022656.jpg,,,,,,,,,, +粗毛牛膝菊,Galinsoga quadriradiata,齐淑艳,RQSB04071,20150808,黑龙江省,255,路旁绿地,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0130589.jpg,,,,,,,,,, +粗毛牛膝菊,Galinsoga quadriradiata,张勇,RQSB02604,20150719,甘肃省,1981,玉米地,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0136809.jpg,,,,,,,,,, +粗毛牛膝菊,Galinsoga quadriradiata,刘全儒,20140206001,20140206,四川省,,,草,,https://image.cvh.ac.cn/files/l/BNU/0028772.jpg,,,,,,,,,, +尖瓣拉拉藤,Galium acutum,K.M.Liou,3458,19340828,河北省,,,,无花有果,https://image.cvh.ac.cn/files/l/NKU/NK 010545.jpg,,,,,,,,,, +尖瓣拉拉藤,Galium acutum,C.W.Wang,65623,19350801,云南省 ,3700,mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0036774.jpg,,,,,,,,,, +尖瓣拉拉藤,Galium acutum,,,19340311,台湾省,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/151270215.jpg,,,,,,,,,, +,Galium aparine,K.Yao,9762,19860525,安徽,,road-side on grass,herb,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00607691.jpg,,,,,,,,,, +,Galium aparine,陈瑞浅,457,19860502,湖南省,300,路边,,有花无果,https://image.cvh.ac.cn/files/l/HUFD/0000318.jpg,,,,,,,,,, +猪殃殃,Galium aparine,曹岚,360981210327314LY,20210327,江西,27,,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0010407.jpg,,,,,,,,,, +滇小叶律,Galium asperifolium,青藏队,10193,19820908,西藏自治区,3700,山沟中灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01173406.jpg,,,,,,,,,, +小叶律,Galium asperifolium,周辉、周大松,15102008,20151020,湖南省,1100,林下,,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI057369.jpg,,,,,,,,,, +小叶葎,Galium asperifolium,魏振锋,89,19620702,青海省,3600,林边,直立丛生,呈蔓状,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0041106.jpg,,,,,,,,,, +小叶葎,Galium asperifolium var. sikkimense,H.W.Kung,1212,19310910,河北省,1600,,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0014381.jpg,,,,,,,,,, +小叶律,Galium asperifolium var. sikkimense,刘心源,15194,1959/7/9,山西,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0320411.jpg,,,,,,,,,, +小叶葎,Galium asperifolium var. sikkimense,刘琳,和凤军,zhwy-48,20090824,云南省,3378,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 004904.jpg,,,,,,,,,, +滇小叶葎,Galium asperifolium var. verrucifructum,E.E.Maire,,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399134.jpg,,,,,,,,,, +滇小叶律,Galium asperifolium var. verrucifructum,林芹,770887,19831211,云南省,2300,under the thickets,,有花无果,https://image.cvh.ac.cn/files/l/KUN/330250.jpg,,,,,,,,,, +滇小叶律,Galium asperifolium var. verrucifructum,青藏队,10193,19820908,西藏自治区,3700,山沟中灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01173406.jpg,,,,,,,,,, +,Galium asperuloides,上官铁梁,2904.7.2,19870500,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/SXU/SD00018347.jpg,,,,,,,,,, +六叶葎,Galium asperuloides,中科院植物标本室,3127,19560700,山东省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00056025.jpg,,,,,,,,,, +,Galium asperuloides,C.W.Wang,63645,19350600,云南省,2300,,herb,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00247961.jpg,,,,,,,,,, +玉龙拉拉藤,Galium baldensiforme,K.M.Liou,6645,19360820,,2200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113332.jpg,,,,,,,,,, +玉龙拉拉藤,Galium baldensiforme,余义印,201811359,20180423,贵州省,496,田间,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0021719.jpg,,,,,,,,,, +玉龙拉拉藤,Galium baldensiforme,郭本兆,王为义,21417,19710712,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/66045.jpg,,,,,,,,,, +,Galium blinii,"Maire, Edouard-Ernest",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00327945.jpg,,,,,,,,,, +,Galium blinii,"程树志,李渤生",264,19820820,西藏自治区,3700,林伐附近桦木林下,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113702.jpg,,,,,,,,,, +,Galium blinii,T.N.Liou & P.C.Tsoong,3283,19380812,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111943.jpg,,,,,,,,,, +斐梭浦砧草,Galium boreale,李洪钧,611,19570810,湖北省,1300~1700,阳处 草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00712750.jpg,,,,,,,,,, +新砧草,Galium boreale,实习队长三组,77,19570701,甘肃省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399190.jpg,,,,,,,,,, +宽叶拉拉藤,Galium boreale,M.K.Boku,,19370615,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399205.jpg,,,,,,,,,, +四叶葎,Galium bungei,何叶琪,2375,1959/5/24,宁夏回族自治区,1500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0158758.jpg,,,,,,,,,, +硬毛四叶葎,Galium bungei,刘天慰,492,19620703,山西省,1150,山坡,阳处,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/HSIB/HSIB014753.jpg,,,,,,,,,, +狭叶四叶葎,Galium bungei,"高德民,王萍,张少华,李兰,辛晓伟,王林,王旭,庞荣,张世尧,刘庆阳",lilan415,20120610,山东,325,温带草甸,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1438083.jpg,,,,,,,,,, +,Galium dahuricum,T.N.Ho (HNWP) et al.,2535,19960828,青海省,3450~3550,Growing among rocks under picea,,有花有果,https://image.cvh.ac.cn/files/l/PE/00712370.jpg,,,,,,,,,, +,Galium dahuricum,Hand-Mazz,11550,19340827,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00061290.jpg,,,,,,,,,, +东北猪殃殃,Galium dahuricum,林丽颖,2018070222,20180702,黑龙江,196,林下、草地,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0000963.jpg,,,,,,,,,, +,Galium dahuricum var. lasiocarpum,刘慎谔,101,19500713,黑龙江省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113265.jpg,,,,,,,,,, +,Galium dahuricum var. lasiocarpum,"野田,张玉良,王遂纲等",101,19500713,辽宁省,,杂木林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113264.jpg,,,,,,,,,, +,Galium dahuricum var. lasiocarpum,"何铸,周子林",14206,19520000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113221.jpg,,,,,,,,,, +小红参,Galium elegans,,3182,19091129,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00713060.jpg,,,,,,,,,, +狭叶拉拉藤,Galium elegans,张志英,13778,19590914,甘肃省,950,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0155060.jpg,,,,,,,,,, +小红参(原变种),Galium elegans,李红、白洪兵,533324180828491LY,20180828,云南,3013.9,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG010014.jpg,,,,,,,,,, +单花拉拉藤,Galium exile,陈晓澄等,2187,20120806,青海,4051,山坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023993.jpg,,,,,,,,,, +单花拉拉藤,Galium exile,高信芬,鞠文彬,郑臣臣,THP-KD-5853,20170809,四川,4427,,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243725.jpg,,,,,,,,,, +单花拉拉藤,Galium exile,亚吉东,张桥蓉,胡枭剑,17CS16310,20170630,新疆,2321,山坡草丛中,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1438027.jpg,,,,,,,,,, +六叶律,Galium hoffmeisteri,余奇;孙奇,CIBYQ100B012,20200615,四川,2298,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1564758.jpg,,,,,,,,,, +,Galium hoffmeisteri,江苏植物所秦岭植物园联合考察队 大巴山,2019451,20190515,陕西省,1727,山坡地边,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00628850.jpg,,,,,,,,,, +六叶律,Galium hoffmeisteri,朱鑫鑫,王君,王美华,ZXX20152,20200513,安徽,1036,溪沟边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1504801.jpg,,,,,,,,,, +,Galium kamtschaticum,H.Migo,,19320803,,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00248633.jpg,,,,,,,,,, +三脉猪殃殃,Galium kamtschaticum,刘心祈,28765,19370722,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00099049.jpg,,,,,,,,,, +三脉猪殃殃,Galium kamtschaticum,张志英,8549,19590712,甘肃省,950,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/16702.jpg,,,,,,,,,, +,Galium megacyttarion,,,,,,,,,,,,,,,,,,, +车轴草,Galium odoratum,生科,34,20140704,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0005986.jpg,,,,,,,,,, +车轴草,Galium odoratum,王启无,64306,19350700,云南省,2300,Prostrate mixed woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/00713805.jpg,,,,,,,,,, +车轴草,Galium odoratum,"周洪富,粟和毅",111178,19640928,重庆市,1780,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00713558.jpg,,,,,,,,,, +,Galium rebae,C.W.Wang,65623,19350800,四川省,3700,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113684.jpg,,,,,,,,,, +,Galium rebae,C.W.Wang,67188,19351000,云南省,2800,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113685.jpg,,,,,,,,,, +怒江拉拉藤,Galium salwinense,王启无,66880,193510,云南省,2500,Ravine,,有花无果,https://image.cvh.ac.cn/files/l/KUN/330693.jpg,,,,,,,,,, +,Galium salwinense,"Handel-Mazzetti, Heinrich",9815,15-Aug-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00327930.jpg,,,,,,,,,, +怒江拉拉藤,Galium salwinense,何铸、周子林,14206,19520000,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399702.jpg,,,,,,,,,, +隆子拉拉藤,Galium serpylloides,青藏补点队,750412,19750630,西藏自治区,3800,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/51048.jpg,,,,,,,,,, +隆子拉拉藤,Galium serpylloides,魏来 何毅,BNUXZ2016451,20160730,西藏,3200,湿生草甸,,,https://image.cvh.ac.cn/files/l/BNU/0027946.jpg,,,,,,,,,, +猪殃殃,Galium spurium,麻超柏、石琳军,HY20180415_0461,20180415,湖南,297.1,栽培植被,一年生草本,有花有果,https://image.cvh.ac.cn/files/l/JIU/JIU67906.jpg,,,,,,,,,, +,Galium spurium,C.W.Wang,72257,19360300,云南省,1600,Ravine side,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113690.jpg,,,,,,,,,, +猪殃殃,Galium spurium,潘松松,1601052,20160630,山西,,,,有花无果,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0003842.jpg,,,,,,,,,, +麦仁珠,Galium tricornutum,邓姣姣、卫靜丽、刘常坤,LDW-51-V-062,20200927,四川,2997.96m,山坡草地,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02062783.jpg,,,,,,,,,, +麦仁珠,Galium tricornutum,北师大队,LPS2015010,20150722,宁夏省,,灌丛草地,,,https://image.cvh.ac.cn/files/l/BNU/0019231.jpg,,,,,,,,,, +,Galium tricornutum,"Hang Sun,Tao Deng,Sergey Volis etc.",17136,20140508,,1318,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02043246.jpg,,,,,,,,,, +小叶猪殃殃,Galium trifidum,吴磊,4573,20140419,广西壮族自治区,250~300,山坡密林,斜生草木,无花无果,https://image.cvh.ac.cn/files/l/BNU/0031278.jpg,,,,,,,,,, +小叶猪殃殃,Galium trifidum,刘启新等,LS-031,20070426,江苏省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00561826.jpg,,,,,,,,,, +,Galium trifidum,Y.Sato,9433,,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00713794.jpg,,,,,,,,,, +蓬子菜拉拉藤,Galium verum,黄迎新,1025,20150718,吉林省白城市,144,草甸/盐化低地草甸/草甸土,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0230129.jpg,,,,,,,,,, +粗糙蓬子菜,Galium verum,周以良、傅沛雲,2029,19500828,吉林省,300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0399924.jpg,,,,,,,,,, +白花蓬子菜,Galium verum,张超焕,2,19220000,江苏省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00248560.jpg,,,,,,,,,, +墨脱萸叶五加,Gamblea ciliata var. ciliata,"Sino-Geman,Exp",924,19840528,云南省,2900,,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0446702.jpg,,,,,,,,,, +,Gamblea ciliata var. ciliata,"Forrest, George",12068,13-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00052238.jpg,,,,,,,,,, +墨脱萸叶五加,Gamblea ciliata var. ciliata,谭策铭,971261,,江西省,0,,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0446703.jpg,,,,,,,,,, +,Gamochaeta pensylvanica,"朱鑫鑫, 徐坤, 王雨鑫, 李静玉, 党慧杰",ZXX18814,20181102,湖北,734,亚热带,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1458735.jpg,,,,,,,,,, +匙叶合冠鼠曲草,Gamochaeta pensylvanica,李宏庆等,SDP01476,20110409,上海市,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0061215.jpg,,,,,,,,,, +匙叶合冠鼠曲草,Gamochaeta pensylvanica,库伟鹏、沈彬、苏永欣,XY00324,20150416,浙江,18,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0085477.jpg,,,,,,,,,, +,Gamochaeta purpurea,Loy R. Phillippe.et al.,42730,20110530,,582,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02026069.jpg,,,,,,,,,, +狭叶蓬莱葛,Gardneria angustifolia,秦仁昌,2809,19250628,安徽省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0469891.jpg,,,,,,,,,, +狭叶蓬莱葛,Gardneria angustifolia,曹铁如,90492,19900920,湖南省,,山沟,藤本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI046479.jpg,,,,,,,,,, +狭叶蓬莱葛,Gardneria angustifolia,贺贤育,26174,19570726,浙江省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0469888.jpg,,,,,,,,,, +卵叶蓬莱葛,Gardneria ovata,孟世勇,MSY071,20090401,云南省,240,路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/BNU/0029712.jpg,,,,,,,,,, +卵叶蓬莱葛,Gardneria ovata,L.L.Uhl,,1923,,,,,无花有果,https://image.cvh.ac.cn/files/l/AU/AU048987.jpg,,,,,,,,,, +,Gardneria ovata,青藏队,74-4741,19740913,西藏自治区,1700,山坡阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01325091.jpg,,,,,,,,,, +,Gaultheria albiflora,,,,,,,,,,,,,,,,,,, +,Gaultheria ciliisepala,陆露等,7151,20070724,西藏自治区,3600~3800,on the slope in the meadow,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1251735.jpg,,,,,,,,,, +缘毛萼白珠,Gaultheria ciliisepala,"Lu Lu, Li Yi-Rong, Chen Yan-Quan & Guo-Hong Li",LL-2018-5,20180806,西藏,3373,"Mixed bamboo forest, with ferns.",Evergreen shrublets,无花有果,https://image.cvh.ac.cn/files/l/KUN/1523900.jpg,,,,,,,,,, +缘毛萼白珠,Gaultheria ciliisepala,"Lu Lu, Yanjun Lin, Xiaojuan Cheng, Xiaoya Ding",LL-2021-10,20210802,云南,3714,Moist slope along road in open rocky subalpine scrub.,Rhizomatous prostrate shrublet,无花有果,https://image.cvh.ac.cn/files/l/KUN/1523889.jpg,,,,,,,,,, +钟花白珠,Gaultheria codonantha,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14415,20161113,西藏,1605,林下阴湿处,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452590.jpg,,,,,,,,,, +,Gaultheria codonantha,Lu Renfu,LL-07303,20070807,西藏自治区,1300~2000,"on the slope,under forest",,无花有果,https://image.cvh.ac.cn/files/l/KUN/1248326.jpg,,,,,,,,,, +钟花白珠,Gaultheria codonantha,"高连明,张志荣",GLM-092400,20090524,云南省,1570,常绿阔叶林,,,https://image.cvh.ac.cn/files/l/KUN/1273663.jpg,,,,,,,,,, +,Gaultheria crassifolia,Lu Lu etc.,LL-2013-13,20130913,云南省,3400,Alpine meadows and thickets with scattered bamboo.,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1248934.jpg,,,,,,,,,, +长梗白珠,Gaultheria dolichopoda,"刀志灵, 陈哲",DZL-026,20070928,云南,,高山针阔混交林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337507.jpg,,,,,,,,,, +长梗白珠,Gaultheria dolichopoda,S.W.China,12938,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0435748.jpg,,,,,,,,,, +长梗白珠,Gaultheria dolichopoda,青藏队,74-3770,19740730,西藏自治区,3700,山坡路边草丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00195496.jpg,,,,,,,,,, +粗糙丛林白珠,Gaultheria dumicola var. aspera,蔡希陶,54726,19331002,云南省,1600,on road side,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0001503.jpg,,,,,,,,,, +粗糙丛林白珠,Gaultheria dumicola var. aspera,青藏队,73-831,19730721,西藏自治区,2100,山坡常绿林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00195294.jpg,,,,,,,,,, +高山丛林白珠,Gaultheria dumicola var. petanoneuron,青藏队,781,19730718,西藏自治区,2800,山坡铁杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/778823.jpg,,,,,,,,,, +横脉白珠树,Gaultheria dumicola var. petanoneuron,,,19790903,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/077162.jpg,,,,,,,,,, +,Gaultheria eciliata,,,,,,,,,,,,,,,,,,, +芳香白珠,Gaultheria fragrantissima,D.I.Jarvis,89219,19890421,西藏,1500,,,有花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00014769.jpg,,,,,,,,,, +芳香白珠,Gaultheria fragrantissima,梁河普查队,5331220075,20150525,云南省,2048,针阔叶混交林,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0042152.jpg,,,,,,,,,, +,Gaultheria fragrantissima,余奇;代文台,CIBYQ080B006,20190805,四川,3133,高山松,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0246086.jpg,,,,,,,,,, +尾叶白珠,Gaultheria griffithiana,方震东,20-332,20001223,云南,3400,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG008544.jpg,,,,,,,,,, +尾叶白珠,Gaultheria griffithiana,严英 刘家宜,11032,19820906,福建省,1700,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/TIE/00057279.jpg,,,,,,,,,, +尾叶白珠,Gaultheria griffithiana,鞠文彬,李蒙,AZH00183,20150712,四川,1633,溪边林下,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0236744.jpg,,,,,,,,,, +狭叶红粉白珠,Gaultheria hookeri,H.T.Tsai,59936,19331021,云南省 ,2800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0435892.jpg,,,,,,,,,, +红粉白株(原变种),Gaultheria hookeri,蔡杰,刘成,何谐,吕林玲,16CS11749,20160827,四川,2916,路边林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1435414.jpg,,,,,,,,,, +狭叶红粉白珠,Gaultheria hookeri,青藏队,7206,19820609,云南省,2000~1700,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/531999.jpg,,,,,,,,,, +绿背白珠,Gaultheria hypochlora,Lu Lu etc.,LL-07135,20070724,西藏自治区,3600,"Rare on the open slope, in the meadow",,无花有果,https://image.cvh.ac.cn/files/l/KUN/1248568.jpg,,,,,,,,,, +绿背白珠,Gaultheria hypochlora,武素功,1941,0,四川省,0,,小灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0002141.jpg,,,,,,,,,, +绿背白珠树,Gaultheria hypochlora,,,19790904,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/065500.jpg,,,,,,,,,, +,Gaultheria insignis,,,,,,,,,,,,,,,,,,, +,Gaultheria kamengiana,,,,,,,,,,,,,,,,,,, +,Gaultheria major,Lu Lu,LL-2013-37,20130918,云南省,3498,forest and alpine meadow with scattered bamboo.,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1248347.jpg,,,,,,,,,, +大叶华白珠,Gaultheria major,"Lu Lu, Li Yi-Rong, Chen Yan-Quan & Guo-Hong Li",LL-2018-83,20180824,西藏,3862,Alpine meadow under the flowing rock beach or on the slope of roadside,Evergreen shrublets,无花有果,https://image.cvh.ac.cn/files/l/KUN/1523886.jpg,,,,,,,,,, +四川白珠树,Gaultheria nummularioides,林专78林学四组,37,19791027,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/GFS/GFS0019388.jpg,,,,,,,,,, +铜钱叶白珠,Gaultheria nummularioides,C.W.Wang,67181,19351000,云南省 ,2500,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00080654.jpg,,,,,,,,,, +,Gaultheria nummularioides,E. H. Wilson,2708,8-Sep,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00057738.jpg,,,,,,,,,, +倒卵叶白珠,Gaultheria obovata,"Lu Lu, Yanjun Lin, Xiaojuan Cheng, Xiaoya Ding",LL-2021-02,20210729,云南,3598,Occasional in humus and moss among rocks along trail in full sun ,Ascending evergreen shrublet from horizontal stolons. ,无花无果,https://image.cvh.ac.cn/files/l/KUN/1523887.jpg,,,,,,,,,, +倒卵叶白珠,Gaultheria obovata,"Lu Lu, Li Yi-Rong, Chen Yan-Quan & Guo-Hong Li",LL-2018-3,20180806,西藏,3745,"Alpine meadow under the glacier, on the flood land or valley",Evergreen shrublets,无花有果,https://image.cvh.ac.cn/files/l/KUN/1523902.jpg,,,,,,,,,, +,Gaultheria obovata,陆露等,LL-2013-49,20130924,云南省,3912,Alpine meadows and thickets,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1249216.jpg,,,,,,,,,, +鹿蹄草叶白珠,Gaultheria pyrolifolia,张挺,刘成,何华杰,19CS18198,20190907,西藏,3278,高山灌丛,半灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1506454.jpg,,,,,,,,,, +五雄白珠,Gaultheria semi-infera,H.T.Tsai,58323,19340830,云南省 ,3200,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00080662.jpg,,,,,,,,,, +五雄白珠,Gaultheria semi-infera,方震东、和光、杨亲二,XZ-554,20071004,西藏自治区,2267,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 002351.jpg,,,,,,,,,, +五雄白珠,Gaultheria semi-infera,毛星星、陈春树,SUZLS02922,20180503,四川,1850,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1559219.jpg,,,,,,,,,, +,Gaultheria seshagiriana,,,,,,,,,,,,,,,,,,, +华白珠,Gaultheria sinensis,H.T.Tsai,58172,19340825,云南省 ,4000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0436205.jpg,,,,,,,,,, +华白珠,Gaultheria sinensis,胡秀英,2670A,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI026939.jpg,,,,,,,,,, +华白珠,Gaultheria sinensis,"Lu Lu, Li Yi-Rong, Chen Yan-Quan & Guo-Hong Li",LL-2018-2,20180806,西藏,3745,"Alpine meadow under the glacier, on the flood land or valley",Evergreen shrublets,无花有果,https://image.cvh.ac.cn/files/l/KUN/1523901.jpg,,,,,,,,,, +白果华白珠,Gaultheria sinensis var. nivea,"张大才, 尹五元, 李双智, 丁文谦, 何廷顺, 侯雄辉, 张明启",ZhangDC-07ZX-2403,20110929,四川,,高山灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1337733.jpg,,,,,,,,,, +白果华白珠,Gaultheria sinensis var. nivea,青藏队,6998,19820528,云南省,3300,山坡云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00195893.jpg,,,,,,,,,, +白果华白珠,Gaultheria sinensis var. nivea,青藏队,10107,19820908,西藏自治区,4200~4300,山地灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00195894.jpg,,,,,,,,,, +,Gaultheria stenophylla,陆露等,LL-2013-1,20130911,云南省,3335,Alpine meadows and thickets with scattered bamboo.,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1249210.jpg,,,,,,,,,, +狭叶白珠,Gaultheria stenophylla,"Lu Lu, Li Yi-Rong, Chen Yan-Quan & Guo-Hong Li",LL-2018-4,20180806,西藏,3373,"Mixed bamboo forest, with ferns.common in partial shade forest.",Evergreen shrublets,无花有果,https://image.cvh.ac.cn/files/l/KUN/1523905.jpg,,,,,,,,,, +四裂白珠,Gaultheria tetramera,黄连山自然保护区科研所,HLS0012,20071128,云南,,公路边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337741.jpg,,,,,,,,,, +四裂白珠,Gaultheria tetramera,龙陵县普查队,530523150523096LY,20150523,云南省,2520.2,草原,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0028389.jpg,,,,,,,,,, +四裂白珠,Gaultheria tetramera,李渤生,1849,19821120,西藏自治区,2800~3200,铁杉林下空地,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0002738.jpg,,,,,,,,,, +,Gaultheria thymifolia,"Forrest, George",26867,25-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00231094.jpg,,,,,,,,,, +,Gaultheria thymifolia,郭本兆 王为义,22719,19770816,西藏自治区,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/67456.jpg,,,,,,,,,, +刺毛白珠,Gaultheria trichophylla,方文培; W.P. Fang,8221,1930/8/8,四川; Szechwan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00109416.jpg,,,,,,,,,, +刺毛白珠,Gaultheria trichophylla,西藏生物所植物组,12,19880710,西藏自治区,3400,河谷灌丛中,半灌木,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0005561.jpg,,,,,,,,,, +刺毛白珠,Gaultheria trichophylla,Joseph F. Rock,22407,Jun-32,西藏; Southeast Tibet,1350,,小灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00109414.jpg,,,,,,,,,, +齿缘西藏白珠,Gaultheria wardii,青藏队,74-1712,19740810,西藏自治区,1300,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00198061.jpg,,,,,,,,,, +,Gaultheria wardii,独龙江考察队,4255,19910307,云南省,1850,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/KUN/483011.jpg,,,,,,,,,, +,Gaultheria wardii,"刘成, 亚吉东, 李昌洪",18CS17168,20181111,西藏,1625,路边山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486629.jpg,,,,,,,,,, +,Gaultheria wardii var. elongata,独龙江考察队,6981,19910521,云南省,1800,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/483027.jpg,,,,,,,,,, +须花藤,Genianthus bicoronatus,凌云普查队,4.51E+14,20140310,广西壮族自治区,387,阔叶林,林下,林缘,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0093928.jpg,,,,,,,,,, +银萼龙胆,Gentiana albicalyx,青藏补点,750339,19750615,西藏自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/50975.jpg,,,,,,,,,, +,Gentiana albomarginata,"Delavay, J.M.",,1887-4-2,,,,,,https://image.cvh.ac.cn/files/l/P/P00517482.jpg,,,,,,,,,, +膜边龙胆,Gentiana albomarginata,白洪兵、李红,533324180426118LY,20180426,云南,3086,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG010042.jpg,,,,,,,,,, +膜边龙胆,Gentiana albomarginata,张书东,QJYS0195,20160503,云南省,2938,山坡草甸,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1395765.jpg,,,,,,,,,, +高山龙胆,Gentiana algida,郝加琛、周瑜,16655,20160714,新疆维吾尔自治区,,砾石山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0032823.jpg,,,,,,,,,, +高山龙胆,Gentiana algida,T.N. Liou,3550,1931/8/22,新疆维吾尔族自治区,3600,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0011957.jpg,,,,,,,,,, +高山龙胆,Gentiana algida,李崇皓 ,21,19790804,吉林省,,高山苔原 山顶山坡,,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0006585.jpg,,,,,,,,,, +,Gentiana altigena,"Handel-Mazzetti, Heinrich",9878,15-Aug-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00001707.jpg,,,,,,,,,, +椭叶龙胆,Gentiana altigena,中甸队,1918,19620908,云南省,4200,湖边石上与苔藓共生,,有花无果,https://image.cvh.ac.cn/files/l/KUN/550518.jpg,,,,,,,,,, +椭叶龙胆,Gentiana altigena,王启无,66253,19350900,西藏自治区,3500,草地中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00060382.jpg,,,,,,,,,, +硕花龙胆,Gentiana amplicrater,西藏中草药普查队,2060,19721006,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/80198.jpg,,,,,,,,,, +水生龙胆,Gentiana aquatica,不祥,815,19370911,陕西省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/68881.jpg,,,,,,,,,, +水生龙胆,Gentiana aquatica,张志翔、赵良成、沐先运,2029,20140806,青海省,4700,草甸,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00091234.jpg,,,,,,,,,, +水生龙胆,Gentiana aquatica,生物研究所西藏考察队,3120,19740613,新疆维吾尔自治区,3050,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/42398.jpg,,,,,,,,,, +七叶龙胆,Gentiana arethusae var. delicatula,谢登峰、蔡竞、秦换换,QH-018-B-052,20200927,四川,3228.06m,高原草甸,阴生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02063420.jpg,,,,,,,,,, +七叶龙胆,Gentiana arethusae var. delicatula,王启无,66117,193509,西藏自治区,3000,nslope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/550544.jpg,,,,,,,,,, +七叶龙胆,Gentiana arethusae var. delicatula,黎斌、周亚福、卢元,18273,20140821,陕西省,2600~2200,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH016744.jpg,,,,,,,,,, +卵萼龙胆,Gentiana bryoides,西藏中草药普查队,63,19720601,西藏自治区,2900,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00066044.jpg,,,,,,,,,, +卵萼龙胆,Gentiana bryoides,郑斌,66,20150905,四川,3000,路边草地,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0178581.jpg,,,,,,,,,, +白条纹龙胆,Gentiana burkillii,刘健全,77,19920915,西藏自治区,4500,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/172884.jpg,,,,,,,,,, +白条纹龙胆,Gentiana burkillii,郭本兆、王为义,25204,19810609,青海省,2200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/98711.jpg,,,,,,,,,, +白条纹龙胆,Gentiana burkillii,陈彬,朱鑫鑫,沈彬,宋以刚,CSH06876,20140731,四川,4048.34,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0037238.jpg,,,,,,,,,, +缅甸龙胆,Gentiana burmensis,武素功,8789,19640912,云南省,4300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/550669.jpg,,,,,,,,,, +天蓝龙胆,Gentiana caelestis,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191477,20190926,云南,4269,亚热带,高山草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1483399.jpg,,,,,,,,,, +天蓝龙胆,Gentiana caelestis,Favre & Matuszak,164,20110825,云南省 ,4376,alpine meadows,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220723.jpg,,,,,,,,,, +天蓝龙胆,Gentiana caelestis,岳伟、苏旭、王玉金,LiuJQ-298,20110929,四川省,0~3650,温带草甸平地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0281708.jpg,,,,,,,,,, +头状龙胆,Gentiana capitata,赵文李,陶小强,BSGLGSly3264,20200311,云南,2401,针叶林、路边,二年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489709.jpg,,,,,,,,,, +头状龙胆,Gentiana capitata,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201465,20200803,西藏,2287,岩壁上,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1509398.jpg,,,,,,,,,, +头状龙胆,Gentiana capitata,,W1-4,19810708,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377998.jpg,,,,,,,,,, +粗茎秦艽,Gentiana crassicaulis,J.M.Delavay,3812,18890405,云南省 ,2800,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00077145.jpg,,,,,,,,,, +粗茎秦艽,Gentiana crassicaulis,"D.E.Boufford, S.L.Kelley, R.H.Ree, S.K.Wu",29656,20000723,西藏,4100-4300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026483.jpg,,,,,,,,,, +,Gentiana crassicaulis,"Delavay, J.M.",1241,1883-7-24,,,,,,https://image.cvh.ac.cn/files/l/P/P00502842.jpg,,,,,,,,,, +肾叶龙胆,Gentiana crassuloides,傅 坤 俊,9455,1957/7/7,陕 西,2820,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0359746.jpg,,,,,,,,,, +肾叶龙胆,Gentiana crassuloides,第八森林经理大队,3742,19580801,重庆市,3880,林地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00072599.jpg,,,,,,,,,, +,Gentiana crassuloides,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-125-B14,20190817,四川,3854,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262672.jpg,,,,,,,,,, +髯毛龙胆,Gentiana cuneibarba,俞德浚,19733,19370807,云南,4000~3600,mt alope open aud,,有花无果,https://image.cvh.ac.cn/files/l/KUN/550987.jpg,,,,,,,,,, +髯毛龙胆,Gentiana cuneibarba,C.W.Wang,65712,19350800,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00077186.jpg,,,,,,,,,, +髯毛龙胆,Gentiana cuneibarba,冯国楣,6658,19400814,云南省,3900~3800,草坡上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/550988.jpg,,,,,,,,,, +达乌里龙胆,Gentiana dahurica,左忠 ;左伟;王雨,ZuoZh307,20180905,宁夏,1758,温带干草原人工造林地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1550644.jpg,,,,,,,,,, +达乌里秦艽,Gentiana dahurica,王良信,840052,19840824,山西,1600m,山坡,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0004447.jpg,,,,,,,,,, +达乌里龙胆,Gentiana dahurica,王正文、刘英俊、于兴华、匡文浓,王正文0106,20140820,内蒙古自治区呼伦贝尔市,630,草地,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0236272.jpg,,,,,,,,,, +平龙胆,Gentiana depressa,谢登峰、蔡竞、秦换换,CJ-003-A-042,20200917,四川,3450.11m,高山草甸,阴生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02063611.jpg,,,,,,,,,, +平龙胆,Gentiana depressa,西藏中草药普查队,1559,19720827,西藏自治区,3750,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/30997.jpg,,,,,,,,,, +平龙胆,Gentiana depressa,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-1108-T05-003004,20171125,西藏,3775,Forests on hillside,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1451777.jpg,,,,,,,,,, +壶冠龙胆,Gentiana elwesii,H.Kanai Y.Tateishi,775202,19770820,Topke Gola,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/551161.jpg,,,,,,,,,, +壶冠龙胆,Gentiana elwesii,青藏队,74-2370,19740912,西藏自治区,4200,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00073212.jpg,,,,,,,,,, +壶冠龙胆,Gentiana elwesii,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,834,20121016,西藏,,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230400.jpg,,,,,,,,,, +扇叶龙胆,Gentiana emodii,,A87-190,87.08.06,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00029894.jpg,,,,,,,,,, +扇叶龙胆,Gentiana emodii,,6863,19750603,西藏,2700,,,无花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092523.jpg,,,,,,,,,, +,Gentiana exquisita,"Yü, Tse-tsun",20254,14-Sep-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00001795.jpg,,,,,,,,,, +丝瓣龙胆,Gentiana exquisita,T.T.Yu,19876,19380810,云南省,3900,Alpine grasslandd,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073276.jpg,,,,,,,,,, +,Gentiana faucipilosa,"Handel-Mazzetti, Heinrich",9872,17-Aug-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00001796.jpg,,,,,,,,,, +毛喉龙胆,Gentiana faucipilosa,海仙,HX2007-12,20070526,云南省,3378,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005413.jpg,,,,,,,,,, +毛喉龙胆,Gentiana faucipilosa,青藏队,1080,19730813,西藏自治区,3600,山坡砾石滩竹丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/551198.jpg,,,,,,,,,, +,Gentiana filistyla,青藏队,2573A,1974/8/10,西藏自治区,4600,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0024995.jpg,,,,,,,,,, +丝柱龙胆,Gentiana filistyla,冯国楣,6553,19400812,云南省,4000~3800,草地上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/551208.jpg,,,,,,,,,, +,Gentiana filistyla,"Forrest, George",14838,17-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00001709.jpg,,,,,,,,,, +,Gentiana gilvostriata,,,,,,,,,,,,,,,,,,, +光茎龙胆,Gentiana glabriuscula,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19267,20200623,西藏,2797,林下草地;开阔草地,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1488706.jpg,,,,,,,,,, +圆球龙胆,Gentiana globosa,西藏中草药普查队,2045,19721011,西藏自治区,4300,山坡 灌丛间 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01496103.jpg,,,,,,,,,, +圆球龙胆,Gentiana globosa,T.T.Yu,14564,19371018,四川省,3700,草坡,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00073429.jpg,,,,,,,,,, +圆球龙胆,Gentiana globosa,"D.E.Boufford, B.Bartholomew, C.Y.Chen, M.J.Donoghu",28986,19980720,四川,4200-4270,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026590.jpg,,,,,,,,,, +吉隆龙胆,Gentiana gyirongensis,"李渤生,李辉",14292,19901023,西藏自治区,3650,Betula 林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196284.jpg,,,,,,,,,, +吉隆龙胆,Gentiana gyirongensis,F.Miyamoto etc.,9580254,19950809,,4800,on grassland slopes,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264703.jpg,,,,,,,,,, +,Gentiana handeliana,林业调查队,0,195509,四川,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0053527.jpg,,,,,,,,,, +斑点龙胆,Gentiana handeliana,,1580,19580805,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00047822.jpg,,,,,,,,,, +斑点龙胆,Gentiana handeliana,方震东,1041,19880908,云南省,4360,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001921.jpg,,,,,,,,,, +扭果柄龙胆,Gentiana harrowiana,,6322,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0489643.jpg,,,,,,,,,, +扭果柄龙胆,Gentiana harrowiana,H.T.Tsai,54156,19330904,云南省,4000,on open slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073466.jpg,,,,,,,,,, +扭果柄龙胆,Gentiana harrowiana,G.Forrest,27950,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00073463.jpg,,,,,,,,,, +六叶龙胆,Gentiana hexaphylla,郭 本 兆,5768,1964/8/10,甘肃,3200,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0396746.jpg,,,,,,,,,, +,Gentiana hexaphylla,K.S.Hao,4409,19320920,陕西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/135246082.jpg,,,,,,,,,, +六叶龙胆,Gentiana hexaphylla,梁一民,604,1963/9/8,陕 西,3340,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0358236.jpg,,,,,,,,,, +,Gentiana himalayaensis,,,,,,,,,,,,,,,,,,, +,Gentiana hoae,,,,,,,,,,,,,,,,,,, +藏南龙胆,Gentiana huxleyi,"张永田,郞楷永",3049,19660502,西藏自治区,3200,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00073577.jpg,,,,,,,,,, +,Gentiana lacerulata,"Ludlow, Frank: Sherriff, George & Taylor, George",6414,30-Oct-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00062089.jpg,,,,,,,,,, +撕裂边龙胆,Gentiana lacerulata,青藏补点,751961,19750910,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/52571.jpg,,,,,,,,,, +撕裂边龙胆,Gentiana lacerulata,J.M.Delavay,,18871021,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00077370.jpg,,,,,,,,,, +线叶龙胆,Gentiana lawrencei var. farreri,郑斌,45,20150903,四川,3730,河滩草地,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0178561.jpg,,,,,,,,,, +线叶龙胆,Gentiana lawrencei var. farreri,张发起;高庆波;迟晓峰;刑睿;贾留坤;夏铭泽,QXA0386,20170903,青海,3651,温带高山草原/高山灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1480698.jpg,,,,,,,,,, +线叶龙胆,Gentiana lawrencei var. farreri,黄河队,3540,1958/9/2,甘肃,2800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0083849.jpg,,,,,,,,,, +,Gentiana laxiflora,,,,,,,,,,,,,,,,,,, +蓝白龙胆,Gentiana leucomelaena,"D.E.Boufford, K.Fujikawa, S.L.Kelley, R.H.Ree, H.S",39352,20070809,青海,3720,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026644.jpg,,,,,,,,,, +蓝白龙胆,Gentiana leucomelaena,张应堂,287,19890712,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/ZY/ZY0000752.jpg,,,,,,,,,, +蓝白龙胆,Gentiana leucomelaena,齐威,LJQ-GN-039,20080819,甘肃省,0~3920,半阳坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0282456.jpg,,,,,,,,,, +大颈龙胆,Gentiana macrauchena,李才贵,212,19840828,山西省,2600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02081540.jpg,,,,,,,,,, +大颈龙胆,Gentiana macrauchena,郭永杰,钟莉,曾桂,张惠玲,20CS19228,20200421,四川,3000,草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489160.jpg,,,,,,,,,, +大颈龙胆,Gentiana macrauchena,刘瑛,543,19570528,湖北省,800,山坡阴处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00074000.jpg,,,,,,,,,, +米林龙胆,Gentiana mailingensis,西藏中草药普查队,3803,19720714,西藏自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/30618.jpg,,,,,,,,,, +亮叶龙胆,Gentiana micans,青藏队,74-2066,19740904,西藏自治区,4520,山谷公路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088341.jpg,,,,,,,,,, +亮叶龙胆,Gentiana micans,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201705,20200812,西藏,4900,湖边沙地,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508913.jpg,,,,,,,,,, +类亮叶龙胆,Gentiana micantiformis,藏药队,184,19710604,青海省,3650,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/24527.jpg,,,,,,,,,, +类亮叶龙胆,Gentiana micantiformis,"D.E.Boufford, B.Bartholomew, C.Y.Chen, M.J.Donoghu",28104,19980701,四川,3980,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026584.jpg,,,,,,,,,, +类亮叶龙胆,Gentiana micantiformis,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19705,20200703,西藏,4600,草地,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489479.jpg,,,,,,,,,, +藓生龙胆,Gentiana muscicola,T.T.Yu,19686,19380806,云南省,3200~3500,Under woods shady & moist place,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088372.jpg,,,,,,,,,, +藓生龙胆,Gentiana muscicola,,s.n.,19821007,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377987.jpg,,,,,,,,,, +云雾龙胆,Gentiana nubigena,张磊,张朝攀,zlnmu2021091,20210803,甘肃,3315,山地灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/NMU/NMU00278.jpg,,,,,,,,,, +云雾龙胆,Gentiana nubigena,西藏中草药普查队,1775,19720904,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/81028.jpg,,,,,,,,,, +云雾龙胆,Gentiana nubigena,傅坤俊,16547,1965/9/9,四川省,4600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0247711.jpg,,,,,,,,,, +聂拉木龙胆,Gentiana nyalamensis,罗建、汪书丽,LIUJQ237,20110922,西藏自治区,0~4243,温带高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280287.jpg,,,,,,,,,, +聂拉木龙胆,Gentiana nyalamensis,"张挺, 刘成, 亚吉东",18CS17678,20180916,西藏,3555,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486562.jpg,,,,,,,,,, +小花聂拉木龙胆,Gentiana nyalamensis var. parviflora,刘健全,86,19920916,西藏自治区,4900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/173047.jpg,,,,,,,,,, +倒锥花龙胆,Gentiana obconica,黄健,304,20100822,西藏自治区,4900,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0006153.jpg,,,,,,,,,, +倒锥花龙胆,Gentiana obconica,郑斌,20,20150822,西藏,4520,高山草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0178578.jpg,,,,,,,,,, +倒锥花龙胆,Gentiana obconica,,2140,19941014,云南省,4000~4300,Grassland amongst Rhododendron and in boggy place and dry areas,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399899.jpg,,,,,,,,,, +,Gentiana oreodoxa,林业部林型组,6,1955,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0053775.jpg,,,,,,,,,, +,Gentiana oreodoxa,,4,19731010,四川,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/551777.jpg,,,,,,,,,, +山景龙胆,Gentiana oreodoxa,植被队,3769,1973-8 1,四川省,5200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0115797.jpg,,,,,,,,,, +,Gentiana ornata,N. Wallich,s.n.,,,,,,,https://image.cvh.ac.cn/files/l/NY/00297725.jpg,,,,,,,,,, +华丽龙胆,Gentiana ornata,青藏队植被组,7687,19750902,西藏自治区,4600~4800,冰碛丘陵 草原及水边 草甸上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485895.jpg,,,,,,,,,, +,Gentiana panthaica,"简焯坡,张秀实等",32061,19630925,贵州省,2150,山坡的草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01299453.jpg,,,,,,,,,, +少齿流苏龙胆,Gentiana panthaica,T.T.Yu,968,19320603,四川省,2500,,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00077437.jpg,,,,,,,,,, +流苏龙胆,Gentiana panthaica,H.T.Tsai,54644,19330924,云南省 ,1500,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00076954.jpg,,,,,,,,,, +,Gentiana papillosa,P. J. M. Delavay,s.n.,1883-4-23,,,,,,https://image.cvh.ac.cn/files/l/NY/00297713.jpg,,,,,,,,,, +乳突龙胆,Gentiana papillosa,何廷农,522,19760815,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/57391.jpg,,,,,,,,,, +乳突龙胆,Gentiana papillosa,赵清盛、杨亚滨,4514,1978-5 1,四川省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0115812.jpg,,,,,,,,,, +小龙胆,Gentiana parvula,陈谦海,5069,19920801,贵州省,800,山谷,,有花无果,https://image.cvh.ac.cn/files/l/HGAS/HGAS0075540.jpg,,,,,,,,,, +小龙胆,Gentiana parvula,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1724,20130821,西藏自治区,,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000808.jpg,,,,,,,,,, +小龙胆,Gentiana parvula,王清泉,4909,1974-6 2,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0115816.jpg,,,,,,,,,, +糙毛龙胆,Gentiana pedicellata,王启无,87479,19400305,云南省,1550,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/551899.jpg,,,,,,,,,, +糙毛龙胆,Gentiana pedicellata,吴征缢、陈书坤杜庆庐,75-644,19750705,西藏自治区,3400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/53689.jpg,,,,,,,,,, +糙毛龙胆,Gentiana pedicellata,B.V.Shett,34072,19700602,云南省 ,2250,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0489950.jpg,,,,,,,,,, +叶萼龙胆,Gentiana phyllocalyx,白洪兵、李红,533324180805416LY,20180805,云南,3672.2,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009924.jpg,,,,,,,,,, +叶萼龙胆,Gentiana phyllocalyx,,26957,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0489955.jpg,,,,,,,,,, +叶萼龙胆,Gentiana phyllocalyx,,817,19870520,贵州省,1100,生于山坡路旁草地,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0069803.jpg,,,,,,,,,, +柔软龙胆,Gentiana prainii,青藏队补点组,751953,19750910,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/60807.jpg,,,,,,,,,, +柔软龙胆,Gentiana prainii,玉树兽医站,650038,19??????,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/52639.jpg,,,,,,,,,, +柔软龙胆,Gentiana prainii,王辰,,20110628,西藏,,草甸,,,https://image.cvh.ac.cn/files/l/BNU/0011553.jpg,,,,,,,,,, +,Gentiana prolata,青藏队,9944,19760804,西藏自治区,5100,老火山岩石堆上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/552057.jpg,,,,,,,,,, +,Gentiana prolata,新疆考察队,660,0,新疆,2000,高山竹甸,,有花无果,https://image.cvh.ac.cn/files/l/KUN/552054.jpg,,,,,,,,,, +,Gentiana prolata,李安仁,朱家冉,6393,19580806,新疆维吾尔自治区,2560,"山谷,冲积平原河边",,有花无果,https://image.cvh.ac.cn/files/l/KUN/552055.jpg,,,,,,,,,, +大花平卧龙胆,Gentiana prostrata,,780879,19780720,新疆,2840,灌丛,,,https://image.cvh.ac.cn/files/l/BJM/171423.jpg,,,,,,,,,, +新疆龙胆,Gentiana prostrata,周太炎等,651108,19650720,新疆维吾尔自治区,2100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/20371.jpg,,,,,,,,,, +,Gentiana prostrata,serre,2437,19290808,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00026002.jpg,,,,,,,,,, +新疆龙胆,Gentiana prostrata var. karelinii,王庆瑞等,6745,19770822,甘肃省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/67248.jpg,,,,,,,,,, +新疆龙胆,Gentiana prostrata var. karelinii,杨金祥,2214,19630802,西藏自治区,5000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/57520.jpg,,,,,,,,,, +新疆龙胆,Gentiana prostrata var. karelinii,周太炎等,651108,19650720,新疆维吾尔自治区,2100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/20371.jpg,,,,,,,,,, +短蕊龙胆,Gentiana prostrata var. ludlowii,中国科学院植物研究所昆明植物研究所,6790,19750820,西藏自治区,4700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/77488.jpg,,,,,,,,,, +短蕊龙胆,Gentiana prostrata var. ludlowii,黄荣福,1638,19840812,青海省,0~4300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0232414.jpg,,,,,,,,,, +假水生龙胆,Gentiana pseudoaquatica,木里队,635,19780903,四川省,2500,路旁草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0007756.jpg,,,,,,,,,, +假水生龙胆,Gentiana pseudoaquatica,王庆瑞,6248,19770728,甘肃,2800,河滩水地,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092548.jpg,,,,,,,,,, +假水生龙胆,Gentiana pseudoaquatica,伍凯,XJ071,20120606,新疆省,4000,湿生草甸,草,,https://image.cvh.ac.cn/files/l/BNU/0011564.jpg,,,,,,,,,, +外弯龙胆,Gentiana recurvata,葛斌杰、钟鑫、黄艳波、王琦,GBJ06141,20170806,西藏,3639,高原流石滩,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0144430.jpg,,,,,,,,,, +流苏龙胆,Gentiana recurvata,,104,19770824,贵州,2400,,,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0070249.jpg,,,,,,,,,, +外弯龙胆,Gentiana recurvata,青藏队,11799,19830707,四川省,3300~3000,高山栎杜鹃林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/552109.jpg,,,,,,,,,, +粗壮秦艽,Gentiana robusta,郭本兆 王为义,22479,19770813,西藏自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/67262.jpg,,,,,,,,,, +粗壮秦艽,Gentiana robusta,Harry Smith,11818,19340903,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00077707.jpg,,,,,,,,,, +粗壮秦艽,Gentiana robusta,魏来、郝加琛,15264,20150726,西藏,4185,路边河滩,草本,,https://image.cvh.ac.cn/files/l/BNU/0026018.jpg,,,,,,,,,, +锡金龙胆,Gentiana sikkimensis,C. W. Wang,66579,1935/09/,云南,3500,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0035590.jpg,,,,,,,,,, +锡金龙胆,Gentiana sikkimensis,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,828,20121016,西藏,,高山灌丛下,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230388.jpg,,,,,,,,,, +锡金龙胆,Gentiana sikkimensis,胡君,熊豫宁,陈庆恒,王东超,HJ05563,20151008,西藏自治区,2900,公路旁,草丛中,多年生矮小草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00596893.jpg,,,,,,,,,, +厚边龙胆,Gentiana simulatrix,刘尚武,2237,19770705,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/63529.jpg,,,,,,,,,, +厚边龙胆,Gentiana simulatrix,谢登峰、蔡竞、秦换换,SC-00-009-A-038,20200823,四川,3564.06m,灌丛山坡,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02060572.jpg,,,,,,,,,, +厚边龙胆,Gentiana simulatrix,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20646,20200625,西藏,3878,高山灌丛草地,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1553060.jpg,,,,,,,,,, +,Gentiana sino-ornata,,21699,1944,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0053651.jpg,,,,,,,,,, +瘦华丽龙胆,Gentiana sino-ornata,张相宜、成瑞瑜、郭泳棂,CRY-00-AA-11-041,20200927,四川,3494,灌草丛山坡,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02063766.jpg,,,,,,,,,, +瘦华丽龙胆,Gentiana sino-ornata,,59713,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00077502.jpg,,,,,,,,,, +瘦华丽龙胆,Gentiana sino-ornata var. gloriosa,毛品一,333,19560926,云南省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00035272.jpg,,,,,,,,,, +瘦华丽龙胆,Gentiana sino-ornata var. gloriosa,张相宜、成瑞瑜、郭泳棂,CRY-00-AA-08-008,20200925,四川,3171,灌草丛山坡,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02063737.jpg,,,,,,,,,, +瘦华丽龙胆,Gentiana sino-ornata var. gloriosa,杨永昌,1580,19650910,青海省,4400,亚大山草甸山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01485887.jpg,,,,,,,,,, +鳞叶龙胆,Gentiana squarrosa,何毅 郝加琛,GSL2015050985,20150601,甘肃省,1900,草丛,,,https://image.cvh.ac.cn/files/l/BNU/0020784.jpg,,,,,,,,,, +鳞叶龙胆,Gentiana squarrosa,黄荣福等,3679,19950907,宁夏回族自治区,3700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/174374.jpg,,,,,,,,,, +鳞叶龙胆,Gentiana squarrosa,谭策铭、熊基水,97254,19970329,江西省,1100,山谷林中,一年生小草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00049957.jpg,,,,,,,,,, +短柄龙胆,Gentiana stipitata,M.Chen,2686,19240917,云南省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00080015.jpg,,,,,,,,,, +短柄龙胆,Gentiana stipitata,尹鑫、吴航、葛文静,LiuJQ-GN-015,20110928,甘肃省,0~3525,亚高山草甸坡地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0285490.jpg,,,,,,,,,, +,Gentiana stipitata,,7698,1974-8 2,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0116017.jpg,,,,,,,,,, +提宗龙胆,Gentiana stipitata subsp. tizuensis,王为义,212,19790826,青海省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/87439.jpg,,,,,,,,,, +提宗龙胆,Gentiana stipitata subsp. tizuensis,"D.E.Boufford, J.H.Chen, K.Fujikawa, S.L.Kelley, R.",34665,20050812,四川,3385,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026740.jpg,,,,,,,,,, +提宗龙胆,Gentiana stipitata subsp. tizuensis,不祥,7698,19740828,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/45337.jpg,,,,,,,,,, +麻花艽,Gentiana straminea,周立华,3022,19760817,宁夏回族自治区,2840,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/62998.jpg,,,,,,,,,, +麻花艽,Gentiana straminea,"D.E.Boufford, K.Fujikawa, S.L.Kelley, R.H.Ree, H.S",39345,20070809,青海,3720,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026643.jpg,,,,,,,,,, +麻花艽,Gentiana straminea,"D.E.Boufford, S.L.Kelley, R.H.Ree, S.K.Wu",29996,20000811,西藏,4300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026793.jpg,,,,,,,,,, +圆萼龙胆,Gentiana suborbisepala,E.E.Maire,7406,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00080028.jpg,,,,,,,,,, +,Gentiana suborbisepala,"Maire, Edouard-Ernest",s.n.,12-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00001735.jpg,,,,,,,,,, +圆萼龙胆,Gentiana suborbisepala,J.F.ROCK,17266,19280900,云南省,0~3700,,,有花无果,https://image.cvh.ac.cn/files/l/N/135246173.jpg,,,,,,,,,, +卡拉龙胆,Gentiana suborbisepala var. kialensis,Harry Smith,11734,19340903,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388863.jpg,,,,,,,,,, +,Gentiana suborbisepala var. kialensis,"Maire, Edouard-Ernest",s.n.,12-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00001735.jpg,,,,,,,,,, +卡拉龙胆,Gentiana suborbisepala var. kialensis,Y.P.Chang,604,19401101,云南省,4200,Mt.slop open rocky place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01388871.jpg,,,,,,,,,, +四列龙胆,Gentiana tetrasticha,"张永田,郞楷永",2508,19650903,西藏自治区,5300,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389029.jpg,,,,,,,,,, +西藏秦艽,Gentiana tibetica,郑斌,26,20150822,西藏,3500,山坡草地,高大草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0178521.jpg,,,,,,,,,, +西藏秦艽,Gentiana tibetica,张玉良等,2138,19590917,黑龙江省,,生湿草甸上,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0189877.jpg,,,,,,,,,, +西藏秦艽,Gentiana tibetica,傅沛云,1047,19590822,吉林省,,落叶松火塘草丛内,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0188780.jpg,,,,,,,,,, +仁昌龙胆,Gentiana trichotoma var. chingii,不祥,?,19800827,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/95337.jpg,,,,,,,,,, +短茎三歧龙胆,Gentiana trichotoma var. chingii,K.T.Fu,1511,19370822,甘肃省,3700,Among weeds hill base,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389191.jpg,,,,,,,,,, +筒花龙胆,Gentiana tubiflora,,6622,19750817,,4000~4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389254.jpg,,,,,,,,,, +筒花龙胆,Gentiana tubiflora,青藏队补点,751531,19750825,西藏自治区,4700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/52141.jpg,,,,,,,,,, +筒花龙胆,Gentiana tubiflora,,4412,19910327,云南省,2200,林中山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/778884.jpg,,,,,,,,,, +,Gentiana urnula,南京大学,843,19590700,江苏省,4800,"山坡,碎石坡",,有花无果,https://image.cvh.ac.cn/files/l/PE/00029427.jpg,,,,,,,,,, +乌奴龙胆,Gentiana urnula,藏药队,1340,19720826,青海省,5400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/28463.jpg,,,,,,,,,, +乌奴龙胆,Gentiana urnula,郭先林、许新锐,2036632,20200715,四川,4672,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02036632.jpg,,,,,,,,,, +蓝玉簪龙胆,Gentiana veitchiorum,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19706,20200703,西藏,4600,草地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489478.jpg,,,,,,,,,, +蓝玉簪龙胆,Gentiana veitchiorum,胡文光,13167,19510915,重庆市,0,On slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389330.jpg,,,,,,,,,, +蓝玉簪龙胆,Gentiana veitchiorum,王啓无,70166,19350926,云南省 ,2700,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0036588.jpg,,,,,,,,,, +,Gentiana venusta,,,,,,,,,,,,,,,,,,, +,Gentiana vernayi,PE西藏队,PE5620,20170901,西藏自治区,4900,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330619.jpg,,,,,,,,,, +露蕊龙胆,Gentiana vernayi,"D.E.Boufford, B.Bartholomew, D.A.Eaton, X.H.Li, R.",41997,20090808,云南,4280-4600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026447.jpg,,,,,,,,,, +露蕊龙胆,Gentiana vernayi,何廷农,1299,19891001,云南省,4300,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/154402.jpg,,,,,,,,,, +,Gentiana vernayi subsp. atropurpurea,PE西藏队,PE5520,20170831,西藏自治区,4460,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02330625.jpg,,,,,,,,,, +矮龙胆,Gentiana wardii,王明川,WNX0061,20140622,贵州,,水旁草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0001122.jpg,,,,,,,,,, +,Gentiana wardii,"Kingdon-Ward, Francis",103,11-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00001712.jpg,,,,,,,,,, +矮龙胆,Gentiana wardii,王启无,71777,193509,四川,4000,even slope sand,,有花无果,https://image.cvh.ac.cn/files/l/KUN/552927.jpg,,,,,,,,,, +,Gentiana wardii var. emergens,"Rock, Joseph Francis Charles",16591,28-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001711.jpg,,,,,,,,,, +露萼龙胆,Gentiana wardii var. emergens,钟补求,6965,19520725,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389558.jpg,,,,,,,,,, +露萼龙胆,Gentiana wardii var. emergens,T.T.Yu,22804,19381016,云南省,3800,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389557.jpg,,,,,,,,,, +,Gentiana wardii var. micrantha,,,,,,,,,,,,,,,,,,, +云南龙胆,Gentiana yunnanensis,青藏队,10500,19820918,西藏自治区,3450,山坡 云杉林缘草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01132546.jpg,,,,,,,,,, +,Gentiana yunnanensis,,12134,19380911,湖南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0053993.jpg,,,,,,,,,, +云南龙胆,Gentiana yunnanensis,,,18851020,云南省 ,3200,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00080143.jpg,,,,,,,,,, +窄花假龙胆,Gentianella angustiflora,西藏中草药普查队,1729,19720902,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/80846.jpg,,,,,,,,,, +黑边假龙胆,Gentianella azurea,T.H.Ting,313,1930/9/2,新疆,2200,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0011962.jpg,,,,,,,,,, +黑边假龙胆,Gentianella azurea,四川植被队,8859,1975-9 1,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0116292.jpg,,,,,,,,,, +黑边假龙胆,Gentianella azurea,黄荣福,CG-86-147,19860830,新疆维吾尔自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/134050.jpg,,,,,,,,,, +普兰假龙胆,Gentianella moorcroftiana,PE西藏队,PE6535,20170912,西藏自治区,3588,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333636.jpg,,,,,,,,,, +普兰假龙胆,Gentianella moorcroftiana,"Stainton,Sykes & Williams",4679,19541003,,4833,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01389915.jpg,,,,,,,,,, +矮假龙胆,Gentianella pygmaea,路端正,,20010821,西藏,4300,,,,https://image.cvh.ac.cn/files/l/BJFC/00017052.jpg,,,,,,,,,, +矮假龙胆,Gentianella pygmaea,刘全儒,ALT.362,20140731,新疆,4368,荒漠,草本,,https://image.cvh.ac.cn/files/l/BNU/0028627.jpg,,,,,,,,,, +矮假龙胆,Gentianella pygmaea,Haiying,?,79.08.27,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00030131.jpg,,,,,,,,,, +细萼扁蕾,Gentianopsis barbata,"D.E.Boufford, S.L.Kelley, R.H.Ree, S.K.Wu",29956,20000804,西藏,4280,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026787.jpg,,,,,,,,,, +扁蕾,Gentianopsis barbata,王正文、于兴华、匡文浓,王正文0042,20140812,内蒙古自治区呼伦贝尔市,519,典型草原,,有花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0236216.jpg,,,,,,,,,, +,Gentianopsis barbata,付竞秋,1654,19581002,河南省,1660,半山坡,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0408240.jpg,,,,,,,,,, +细萼扁蕾,Gentianopsis barbata var. stenocalyx,西植新疆队,2442,1978/8/16,新疆,2700,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0337717.jpg,,,,,,,,,, +细萼扁蕾,Gentianopsis barbata var. stenocalyx,吴玉虎等,7241,19900822,青海省,3220,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/179241.jpg,,,,,,,,,, +细萼扁蕾,Gentianopsis barbata var. stenocalyx,李晓东,刘帆,张景博,徐凌翔,LiJ0073,20080904,甘肃,3554,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0190614.jpg,,,,,,,,,, +回旋扁蕾,Gentianopsis contorta,李晓东,刘帆,张景博,徐凌翔,LiJ0069,20080904,甘肃,3487,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0190620.jpg,,,,,,,,,, +回旋扁蕾,Gentianopsis contorta,齐威,LJQ-GN-032,20080825,甘肃省,0~2834,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0282666.jpg,,,,,,,,,, +,Gentianopsis contorta,王乾、顾健,SCW0927,20190819,四川,2284,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0267166.jpg,,,,,,,,,, +,Gentianopsis paludosa,韦、陈,342,,贵州,,,,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0070028.jpg,,,,,,,,,, +卵叶扁蕾,Gentianopsis paludosa,黄土高原采集队,3556,1984/8/11,山西,1500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0467569.jpg,,,,,,,,,, +湿生扁蕾,Gentianopsis paludosa,杨剑、田儒明,,19870104,贵州省,1500,生于向阳山坡中,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0069664.jpg,,,,,,,,,, +卵叶扁蕾,Gentianopsis paludosa var. ovatodeltoidea,黄土队(晋),4435,19841003,内蒙古自治区,2200,山坡草地,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0454471.jpg,,,,,,,,,, +卵叶扁蕾,Gentianopsis paludosa var. ovatodeltoidea,代天伦,102246,19580831,四川省,1950,草坪中,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00395170.jpg,,,,,,,,,, +卵叶扁蕾,Gentianopsis paludosa var. ovatodeltoidea,付筱,雷嘉卿,周雨阳,FX-B-37-014,20200927,四川,3953.568848,路边,阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02064159.jpg,,,,,,,,,, +鹿角草,Glossocardia bidens,葛斌杰、陈彬、沈彬、顾钰峰,GBJ03968,20140830,福建省,11,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0038299.jpg,,,,,,,,,, +长叶山小橘,Glycosmis longifolia,朱太平,638,19590214,云南省,1230,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0408571.jpg,,,,,,,,,, +亮叶山小橘,Glycosmis lucida,蒋英,12964,19331221,云南省 ,1500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0408580.jpg,,,,,,,,,, +亮叶山小橘,Glycosmis lucida,中苏队,9652,19570428,云南省,450,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0408582.jpg,,,,,,,,,, +亮叶山小橘,Glycosmis lucida,盛才余,C400766,20170613,云南,570,"C40,引种号:00,2010,0671",灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026039.jpg,,,,,,,,,, +山小橘,Glycosmis pentaphylla,"唐国旺, 黄宏龙",TuTY5017,20181115,广东,14,海边小路旁,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486207.jpg,,,,,,,,,, +山小橘,Glycosmis pentaphylla,E.F. de Vogel,1643,1972-10-,"Kalimantan Selatan, ",80,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00043703.jpg,,,,,,,,,, +山小橘,Glycosmis pentaphylla,"Tsang,Wai-Tak L.U.",78,19270719,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00690813.jpg,,,,,,,,,, +云南石梓,Gmelina arborea,王启无,77642,19360800,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0497148.jpg,,,,,,,,,, +云南石梓,Gmelina arborea,钟观光,0,19180613,广西,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0056748.jpg,,,,,,,,,, +云南石梓,Gmelina arborea,农东新,农振欢,姚积军,451481160417015LY,20160417,广西壮族自治区,544,针阔混交林,路旁,黄棕壤,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0177205.jpg,,,,,,,,,, +鼠麴草,Gnaphalium affine,曲师大生物系96级学生,96106070,19970522,山东省,450,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00554776.jpg,,,,,,,,,, +鼠麴草,Gnaphalium affine,"周太炎,刘昉勋",753,19500426,江苏省,,on bank of lake,,有花无果,https://image.cvh.ac.cn/files/l/PE/00554772.jpg,,,,,,,,,, +鼠麴草,Gnaphalium affine,王启无,71274,19350700,云南省,2300,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00554715.jpg,,,,,,,,,, +,Gnaphalium chrysocephalum,胡君、李丽、罗垚、蒋洪,SC-a-164-B39,,四川,2928,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274028.jpg,,,,,,,,,, +金头鼠曲草,Gnaphalium chrysocephalum,中美梵净山调查队,691,19860902,贵州省,600,,草本,无花无果,https://image.cvh.ac.cn/files/l/HGAS/029914.jpg,,,,,,,,,, +,Gnaphalium chrysocephalum,E.E.Maire,2542,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00491125.jpg,,,,,,,,,, +拉萨鼠麴草,Gnaphalium flavescens,俞德浚,13226,19370906,云南省,3300,mt.slope open place,,有花无果,https://image.cvh.ac.cn/files/l/KUN/496714.jpg,,,,,,,,,, +拉萨鼠曲草,Gnaphalium flavescens,,660,1963627,,1400,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20024975.jpg,,,,,,,,,, +拉萨鼠曲草,Gnaphalium flavescens,蒋兴麐,37043,19531005,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00024883.jpg,,,,,,,,,, +秋鼠麴草(原变种),Gnaphalium hypoleucum,谢登峰、卫静丽,2027407,20190920,四川,4679,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02027407.jpg,,,,,,,,,, +同白秋鼠麴草,Gnaphalium hypoleucum,刘心祈,24727,19351003,广东省,0,山坑边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/496854.jpg,,,,,,,,,, +秋鼠麹草,Gnaphalium hypoleucum,李宏庆等,SDP02702,20110616,上海市,,植物园,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0061953.jpg,,,,,,,,,, +矮鼠麴草,Gnaphalium stewartii,杨竞生,90474,19900830,西藏自治区,5400,山顶,,有花无果,https://image.cvh.ac.cn/files/l/KUN/498316.jpg,,,,,,,,,, +矮鼠麴草,Gnaphalium stewartii,秦仁昌,1917,19560817,新疆维吾尔自治区,2500,生高山较干旱草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00555211.jpg,,,,,,,,,, +矮鼠麴草,Gnaphalium stewartii,路端正,,20020900,西藏,2500,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005780.jpg,,,,,,,,,, +,Gnaphalium supinum,,B.1092,,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00067346.jpg,,,,,,,,,, +平卧鼠麴草,Gnaphalium supinum,付筱,雷嘉卿,周雨阳,FX-B-034-002,20200926,四川,3894.680664,路边,中生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02061391.jpg,,,,,,,,,, +平卧鼠麴草,Gnaphalium supinum,PE西藏队,PE6786,20170917,西藏自治区,3568,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891052.jpg,,,,,,,,,, +,Gnomophalium pulvinatum,,,,,,,,,,,,,,,,,,, +垂果四棱荠,Goldbachia pendula,"洪德元,张芝玉,潘开玉",9,19930525,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995845.jpg,,,,,,,,,, +垂果四棱荠,Goldbachia pendula,"亚吉东, 张桥蓉, 胡枭剑",16CS13089,20160618,新疆,1832,石质山坡草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1449291.jpg,,,,,,,,,, +粗丝木,Gomphandra tetrandra,余涛,余涛25,201411,云南,,,,,https://image.cvh.ac.cn/files/l/BJM/214992.jpg,,,,,,,,,, +粗丝木,Gomphandra tetrandra,李泽贤、邢福武,3283,19880416,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0369881.jpg,,,,,,,,,, +粗丝木,Gomphandra tetrandra,谢彦军、梁树朝,B0899,20100818,广西,~14,山坡,密林;少见,灌木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00435519.jpg,,,,,,,,,, +,Gomphostemma aborensis,,,,,,,,,,,,,,,,,,, +光泽锥花,Gomphostemma lucidum,Lau,S.K,383,19320807,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00095516.jpg,,,,,,,,,, +光泽锥花,Gomphostemma lucidum,刘心祈,28123,,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00059392.jpg,,,,,,,,,, +光泽锥花,Gomphostemma lucidum,C.W.Wang,79289,19361000,云南省 ,0~1260,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0587791.jpg,,,,,,,,,, +,Gomphostemma niveum,,,,,,,,,,,,,,,,,,, +,Gomphostemma ovatum,,,,,,,,,,,,,,,,,,, +被粉小花锥花,Gomphostemma parviflorum,刘景欣,1319,20091128,云南,1097,森林,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029627.jpg,,,,,,,,,, +被粉小花锥花,Gomphostemma parviflorum,,4454,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0587826.jpg,,,,,,,,,, +小花锥花,Gomphostemma parviflorum,吴征镒,4209,19580716,缅甸,1500,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/216056.jpg,,,,,,,,,, +被粉小花锥花,Gomphostemma parviflorum var. farinosum,陶国达,44767,19881102,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/047699.jpg,,,,,,,,,, +被粉小花锥花,Gomphostemma parviflorum var. farinosum,刘景欣,1319,20091128,云南,1097,森林,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029627.jpg,,,,,,,,,, +被粉小花锥花,Gomphostemma parviflorum var. farinosum,中苏队,7188,19570315,云南省 ,0~950,,直立草本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0587824.jpg,,,,,,,,,, +硬毛锥花,Gomphostemma stellatohirsutum,王洪,2992,19990100,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/083956.jpg,,,,,,,,,, +硬毛锥花,Gomphostemma stellatohirsutum,中苏队,3923,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0587836.jpg,,,,,,,,,, +硬毛锥花,Gomphostemma stellatohirsutum,,6529,,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI043396.jpg,,,,,,,,,, +,Gomphostemma thomsonii,,,,,,,,,,,,,,,,,,, +纤冠藤,Gongronema napalense,李莉,20161105032,20161105,江西,,路边 林下 水沟,,无花无果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0008717.jpg,,,,,,,,,, +纤冠藤,Gongronema napalense,王国栋、龙秀赟、潘新宇、蒋露,7352,20061109,广东省,100~150,山地密林,木质藤本,,https://image.cvh.ac.cn/files/l/SZG/SZG00049174.jpg,,,,,,,,,, +纤冠藤,Gongronema napalense,罗城县普查队,451225130729005LY,20130729,广西,283,灌丛,林下,石灰土,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0114717.jpg,,,,,,,,,, +树棉,Gossypium arboreum,刘慎谔,21646,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0280892.jpg,,,,,,,,,, +树棉,Gossypium arboreum,罗从云等,87-25,19870600,贵州省,300,栽培,草本或灌木,有花无果,https://image.cvh.ac.cn/files/l/GZTM/0024576.jpg,,,,,,,,,, +树棉,Gossypium arboreum,刘昉勲,1052,19510730,江苏省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0280891.jpg,,,,,,,,,, +田基黄,Grangea maderaspatana,唐国旺、李紫默、谢智,TangGW1310,20210404,广东,-7,热带季风阔叶林海边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1557317.jpg,,,,,,,,,, +田基黄,Grangea maderaspatana,J.F.Duthie,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU050291.jpg,,,,,,,,,, +田基黄,Grangea maderaspatana,张娆挺,213,19800729,湖南,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU073570.jpg,,,,,,,,,, +,Grewia asiatica,Shiu Ying Hu,13797,19750620,香港,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0234906.jpg,,,,,,,,,, +,Grewia asiatica,H.H.Haines,2225,19060500,,3500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0234908.jpg,,,,,,,,,, +扁担杆,Grewia biloba,万定荣,194,19930530,湖北省,40,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02227144.jpg,,,,,,,,,, +扁担杆,Grewia biloba,"简焯坡,应俊生,马成功,李雅茹等",401120,19640815,福建省,550,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02227118.jpg,,,,,,,,,, +扁担杆,Grewia biloba,沈奕、石岩,60172,20190702,福建,225,林下路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/AU/AU075039.jpg,,,,,,,,,, +光叶扁担杆,Grewia multiflora,李中提,601209,,广西壮族自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0250482.jpg,,,,,,,,,, +光叶扁担杆,Grewia multiflora,无,无,19700101,云南省,0,无,,,https://image.cvh.ac.cn/files/l/KUN/1269476.jpg,,,,,,,,,, +光叶扁担杆,Grewia multiflora,邓世纬,90818,19360911,贵州省,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0250483.jpg,,,,,,,,,, +,Grubovia dasyphylla,,,,,,,,,,,,,,,,,,, +,Gynandropsis gynandra,周联选、李盛春,12353,20140831,海南省,0,海边、沙地,草本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0771085.jpg,,,,,,,,,, +羊角菜,Gynandropsis gynandra,,,19570810,,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00569626.jpg,,,,,,,,,, +羊角菜,Gynandropsis gynandra,陈功锡、张代贵、孙林、肖佳伟,LXP-06-2937,20151011,江西,326,平地、壤土、路旁、溪边、常见种,陆生、草本、直立,有花有果,https://image.cvh.ac.cn/files/l/SYS/SYS00197259.jpg,,,,,,,,,, +红凤菜,Gynura bicolor,,620,,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0594443.jpg,,,,,,,,,, +红凤菜,Gynura bicolor,何叶祺,4366,19590724,甘肃,2100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830160.jpg,,,,,,,,,, +红凤菜,Gynura bicolor,周建军,17010201,20170102,湖南省,380,路旁,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI060738.jpg,,,,,,,,,, +木耳菜,Gynura cusimbua,A.K.Bulley,1039,19050900,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0594488.jpg,,,,,,,,,, +木耳菜,Gynura cusimbua,德保县普查队,451024151012007LY,20151012,广西壮族自治区,932,阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0175219.jpg,,,,,,,,,, +木耳菜,Gynura cusimbua,复旦大学,54021,19580804,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/FJFC/FJFC0002939.jpg,,,,,,,,,, +菊三七,Gynura japonica,孔宪需,41357,19550626,四川省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/HGAS/027620.jpg,,,,,,,,,, +菊三七?,Gynura japonica,丁志遵 王意成,291,19560513,江苏,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719402728.jpg,,,,,,,,,, +菊三七,Gynura japonica,李义,522230191006046LY,20191006,贵州,302,灌丛、中生、阳性、中温、碱土、野生植物,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0102903.jpg,,,,,,,,,, +尼泊尔菊三七,Gynura nepalensis,"郭永杰, 王雨华, 杨立新, 李姗",18CS16964,20180514,西藏,920,公路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1482775.jpg,,,,,,,,,, +尼泊尔菊三七,Gynura nepalensis,C.W.Wang,72693,19360300,云南省,1200,Border of cultivation,,有花无果,https://image.cvh.ac.cn/files/l/PE/01797801.jpg,,,,,,,,,, +尼泊尔菊三七,Gynura nepalensis,陈丽,522425151012001LY,20151012,贵州省,1611.5,中生、阳性、中温、野生植物、酸性土、草丛,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0041991.jpg,,,,,,,,,, +平卧菊三七,Gynura procumbens,侯宽昭,1061,19350403,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00025120.jpg,,,,,,,,,, +平卧菊三七,Gynura procumbens,"Tsang,Wai Tak",237,19280504,海南省 ,,growing on dry ground beside a stream,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU050234.jpg,,,,,,,,,, +平卧菊三七,Gynura procumbens,王明川,LDX017,20151014,贵州,,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0004781.jpg,,,,,,,,,, +狗三七,Gynura pseudochina,陈少卿,3193,19330417,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00025122.jpg,,,,,,,,,, +狗三七,Gynura pseudochina,张志松,5616,19600621,贵州省,1080,,草本,有花无果,https://image.cvh.ac.cn/files/l/HGAS/027608.jpg,,,,,,,,,, +狗头七,Gynura pseudochina,,10304,,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719402870.jpg,,,,,,,,,, +麦蓝菜,Gypsophila vaccaria,张磊,张朝攀,zlnmu2022095,20220711,宁夏,1843,园林绿化,草本,有花无果,https://image.cvh.ac.cn/files/l/NMU/NMU00733.jpg,,,,,,,,,, +麦蓝菜,Gypsophila vaccaria,L.X.Wang、J.Liu,9007002,19900615,黑龙江,,麦田,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0003277.jpg,,,,,,,,,, +大叶假鹤虱,Hackelia brachytuba,李桂全、唐忠平,1602,20010724,四川,3300~3400,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0180979.jpg,,,,,,,,,, +宽叶假鹤虱,Hackelia brachytuba,陈俊通,刘国玺,Deng-9223,20200602,云南,3931.05,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1513505.jpg,,,,,,,,,, +大叶假鹤虱,Hackelia brachytuba,C.W.Wang,68803,19350800,云南省,3700,,herb,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 009698.jpg,,,,,,,,,, +卵萼假鹤虱,Hackelia uncinata,H.Hanai H.Ohashi,775238,19770821,Topke Gola,2600,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/87639.jpg,,,,,,,,,, +,Hackelia uncinata,H.Hanai H.Ohashi,724083,16720712,,3500,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/87640.jpg,,,,,,,,,, +心叶木,Haldina cordifolia,Guillermo Ibarra Man,807,19830824,得克萨斯州,200,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/331177.jpg,,,,,,,,,, +心叶木,Haldina cordifolia,杨明江,414,19571117,云南省 ,0~740,,乔木,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0595108.jpg,,,,,,,,,, +心叶木,Haldina cordifolia,建水县普查队,5325240883,20191127,云南,328,路边,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1524591.jpg,,,,,,,,,, +椭圆叶花锚,Halenia elliptica,H.Kanai G.Murata,852276,19720429,Amami,0,ridged on the back,,有花无果,https://image.cvh.ac.cn/files/l/KUN/554130.jpg,,,,,,,,,, +椭圆叶花锚,Halenia elliptica,W.Y.Hsia,H.3955,19330829,宁夏回族自治区银川,1600,ditch side,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0012038.jpg,,,,,,,,,, +椭圆叶花锚,Halenia elliptica,Licent,11219,19330803,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00061825.jpg,,,,,,,,,, +大花花锚,Halenia elliptica var. grandiflora,谢登峰、蔡竞、秦换换,CJ-006-A-049,20200919,四川,3402.39m,灌草丛山坡,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02064158.jpg,,,,,,,,,, +大花花锚,Halenia elliptica var. grandiflora,黄河队,371,19540817,陕西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0491058.jpg,,,,,,,,,, +大花花锚,Halenia elliptica var. grandiflora,李洪钧,51,19580926,新疆维吾尔自治区,1500~1600,荒坡草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0197632.jpg,,,,,,,,,, +盐生草,Halogeton glomeratus,FLPH Tibet Expedition,12-0262,20120906,西藏自治区,3600,河滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/01967946.jpg,,,,,,,,,, +,Halogeton glomeratus,段士民,王习勇等,361,20071028,新疆,365,盐碱地,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1244941.jpg,,,,,,,,,, +盐生草,Halogeton glomeratus,,6,,甘肃省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00540787.jpg,,,,,,,,,, +西藏盐生草,Halogeton glomeratus var. tibeticus,"近田文弘,郎楷永",500,19870911,新疆维吾尔自治区,1380,干燥地 山坡上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01196823.jpg,,,,,,,,,, +西藏盐生草,Halogeton glomeratus var. tibeticus,,s.n.,19570826,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00640920.jpg,,,,,,,,,, +西藏盐生草,Halogeton glomeratus var. tibeticus,,s.n.,,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01341794.jpg,,,,,,,,,, +,Haplosphaera himalayensis,"Ludlow, Frank, Sherriff, George & Hicks, J.H.",6087,17-Aug-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00265232.jpg,,,,,,,,,, +单球芹,Haplosphaera phaea,中苏调查队,1684,19550620,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/121228745_1.jpg,,,,,,,,,, +单球芹,Haplosphaera phaea,,842,,四川,,草坝,,无花有果,https://image.cvh.ac.cn/files/l/SM/SM715002323.jpg,,,,,,,,,, +单球芹,Haplosphaera phaea,C.W.Wang,68853,19350000,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00083476.jpg,,,,,,,,,, +,Harrysmithia franchetii,"Maire, Edouard-Ernest",2357,1906,,,,,,https://image.cvh.ac.cn/files/l/E/E00000544.jpg,,,,,,,,,, +云南细裂芹,Harrysmithia franchetii,吴宝成,吴宝成2637,20140921,云南省,,山坡水沟边,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00596177.jpg,,,,,,,,,, +细裂芹,Harrysmithia heterophylla,张代贵,80504004,20080504,湖南张家界,,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU66613.jpg,,,,,,,,,, +细裂芹,Harrysmithia heterophylla,赵清盛,120777,19830622,四川省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00030734.jpg,,,,,,,,,, +,Harrysmithia heterophylla,王乾、顾健,SCW1011,20190816,四川,2547,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0266732.jpg,,,,,,,,,, +,Hedera nepalensis var. nepalensis,,,,,,,,,,,,,,,,,,, +细叶亚婆潮,Hedyotis auricularia,M.R.Henderson,22026,19290720,,10,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0401008.jpg,,,,,,,,,, +耳草,Hedyotis auricularia,陈功锡,张代贵等,LXP-06-7271,20150924,江西省,335,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU09784.jpg,,,,,,,,,, +,Hedyotis auricularia,K.K.CHUNG,,19180824,广州,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0040613.jpg,,,,,,,,,, +丹草,Hedyotis herbacea,周欣欣等,1184,20181108,海南,,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI067932.jpg,,,,,,,,,, +丹草,Hedyotis herbacea,徐月邦,10373,19530622,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00099357.jpg,,,,,,,,,, +丹草,Hedyotis herbacea,,73884,,,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00099362.jpg,,,,,,,,,, +纤花耳草,Hedyotis tenelliflora,张守君,温丁朝,09-4941,20091231,福建,541,森林,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0172073.jpg,,,,,,,,,, +纤花耳草,Hedyotis tenelliflora,Anonymous,228,19860924,湖南省,450,阳坡草地,,有花有果,https://image.cvh.ac.cn/files/l/HUFD/0000521.jpg,,,,,,,,,, +细叶龙吐珠,Hedyotis tenelliflora,姚淦,12019,19920911,安徽省,300,,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00253909.jpg,,,,,,,,,, +长节耳草,Hedyotis uncinella,刀志灵;蔡磊;孙卫邦;马永鹏;张品;杨静;杨佳俊,KIBDZL006B08,20170815,云南,1469,林中,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1561887.jpg,,,,,,,,,, +,Hedyotis uncinella,何树春,85366,19850918,云南省,1050,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0442575.jpg,,,,,,,,,, +长节耳草,Hedyotis uncinella,张代贵、王业清、朱晓琴,2107,20170818,湖北宜昌,1300,路边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE09460.jpg,,,,,,,,,, +向日葵,Helianthus annuus,章绍尧,581669,19581105,浙江省,,河边滩地,,有花无果,https://image.cvh.ac.cn/files/l/JJF/00021373.jpg,,,,,,,,,, +向日葵,Helianthus annuus,,BJTC035557,,北京市,150~50,,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC035557.jpg,,,,,,,,,, +向日葵,Helianthus annuus,Claudia Gomez,13,19880928,Texas,200~188,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/499429.jpg,,,,,,,,,, +菊芋,Helianthus tuberosus,生态室高原组,11176,19800718,西藏自治区,1100,林边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01447327.jpg,,,,,,,,,, +菊芋,Helianthus tuberosus,萧百中,4639,20050901,湖南,770,山麓,红壤,,有花有果,https://image.cvh.ac.cn/files/l/PE/01830220.jpg,,,,,,,,,, +菊芋,Helianthus tuberosus,,3780,19600930,浙江省,,农家栽培,草本,,https://image.cvh.ac.cn/files/l/ZM/ZMNH0040802.jpg,,,,,,,,,, +,Helichrysum kashgaricum,,,,,,,,,,,,,,,,,,, +天芥菜,Heliotropium indicum,黄,,,云南省,,江边草丛,,无花有果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0019630.jpg,,,,,,,,,, +大尾摇,Heliotropium indicum,黄宝优,谢月英,岑海锋,451481160420031LY,20160420,广西壮族自治区,443,草丛,沟边,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0177072.jpg,,,,,,,,,, +大尾摇,Heliotropium indicum,陈邦余、李泽贤,159,19801112,广东省,,山地,草本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/003687.jpg,,,,,,,,,, +,Helixanthera intermedia,,,,,,,,,,,,,,,,,,, +,Helixanthera ligustrina,,,,,,,,,,,,,,,,,,, +离瓣寄生,Helixanthera parasitica,简玉瑜,86,,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00085472.jpg,,,,,,,,,, +离瓣寄生,Helixanthera parasitica,"张挺, 蔡杰, 方伟",12CS3790,20120222,广西,358,路边山坡,寄生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1485308.jpg,,,,,,,,,, +离瓣寄生,Helixanthera parasitica,黄全,820721,19820610,海南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0364417.jpg,,,,,,,,,, +林地离瓣寄生,Helixanthera terrestris,陈伟烈,10882,19800704,西藏自治区,900,寄生在Ficus树上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01491331.jpg,,,,,,,,,, +西域青荚叶,Helwingia himalaica,郑求星,S815-11,19830620,浙江省,450,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00936009.jpg,,,,,,,,,, +小型青荚叶,Helwingia himalaica,汪毅,90922081,20090922,贵州,,山腰,乔木,无花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0002375.jpg,,,,,,,,,, +,Helwingia himalaica,J. F. Rock,8871,1923,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00075323.jpg,,,,,,,,,, +青荚叶,Helwingia japonica,华东农林部森林调查浙江队,40087,19500801,浙江,,,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00029596.jpg,,,,,,,,,, +白粉青荚叶,Helwingia japonica,云大,252,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0466365.jpg,,,,,,,,,, +青荚叶,Helwingia japonica,张代贵,YD10013,20080414,湖北神农架,,林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU61235.jpg,,,,,,,,,, +,Hemiboea subcapitata,李沛琼,s.n.,20020900,广东省,,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01670164.jpg,,,,,,,,,, +降龙草,Hemiboea subcapitata,葛斌杰、张庆费、钟鑫,GBJ06329,20171102,浙江,567,山地沟谷边,草本,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0147569.jpg,,,,,,,,,, +降龙草,Hemiboea subcapitata,张代贵,130725018,20130725,湖北神龙架,,生于山谷林下石上或沟边阴湿处,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU23244.jpg,,,,,,,,,, +齿状鞭打绣球,Hemiphragma heterophyllum,兴安县普查队,450325140928008LY,20140928,广西壮族自治区,1887,阔叶林,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0123124.jpg,,,,,,,,,, +鞭打绣球,Hemiphragma heterophyllum,付筱,雷嘉卿,周雨阳,FX-00-00-10-008,20200920,四川,2689,路边,中生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02072288.jpg,,,,,,,,,, +鞭打绣球,Hemiphragma heterophyllum,D.E.Boufford et al.,37781,20070520,甘肃,2400~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814895.jpg,,,,,,,,,, +泥胡菜,Hemisteptia lyrata,符潮,D2073,20170300,江西,449,,,有花无果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0005776.jpg,,,,,,,,,, +泥胡菜,Hemisteptia lyrata,刘和兵,ZZ120811427,20120811,湖南湘西州,,林缘,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU58427.jpg,,,,,,,,,, +泥胡菜,Hemisteptia lyrata,"钟鑫,张庆费,李晓晨,易逸瑜,杨子欣",ZX02965,20170423,浙江,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0148995.jpg,,,,,,,,,, +腺萼汉克苣苔,Henckelia adenocalyx,葛斌杰、钟鑫、黄艳波、王琦,GBJ06183,20170807,西藏,2068,公路边坡地,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0144347.jpg,,,,,,,,,, +光萼汉克苣苔,Henckelia anachoreta,钟山县普查队,451122170720016LY,20170720,广西,485,灌丛,路旁,石灰土;多;野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00423457.jpg,,,,,,,,,, +,Henckelia arupii,,,,,,,,,,,,,,,,,,, +,Henckelia bifolia,,,,,,,,,,,,,,,,,,, +,Henckelia connata,,,,,,,,,,,,,,,,,,, +,Henckelia dasii,,,,,,,,,,,,,,,,,,, +,Henckelia dibangensis,,,,,,,,,,,,,,,,,,, +,Henckelia dimidiata,,,,,,,,,,,,,,,,,,, +,Henckelia hookeri,,,,,,,,,,,,,,,,,,, +,Henckelia infundibuliformis,,,,,,,,,,,,,,,,,,, +,Henckelia lachenensis,,,,,,,,,,,,,,,,,,, +,Henckelia lallanii,,,,,,,,,,,,,,,,,,, +,Henckelia medogensis,,,,,,,,,,,,,,,,,,, +,Henckelia mishmiensis,,,,,,,,,,,,,,,,,,, +,Henckelia oblongifolia,,,,,,,,,,,,,,,,,,, +,Henckelia pathakii,,,,,,,,,,,,,,,,,,, +,Henckelia primulacea,,,,,,,,,,,,,,,,,,, +斑叶汉克丽亚花,Henckelia pumila,张挺,刘恩德,郭永杰,13CS7629,20130528,西藏,748,河边林缘,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1396176.jpg,,,,,,,,,, +斑叶汉克苣苔,Henckelia pumila,李攀,李君坷,王媚臻,廖人玉,罗雨欣,祡之凡,ZJULP027B33,20190905,云南,1555,,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1550727.jpg,,,,,,,,,, +斑叶汉克苣苔,Henckelia pumila,盘波,邓涛,汤亚飞,卢清彪,GXIBPB078B07,20190903,广西,583,,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1500500.jpg,,,,,,,,,, +,Henckelia siangensis,,,,,,,,,,,,,,,,,,, +,Henckelia urticifolia,,,,,,,,,,,,,,,,,,, +山白芷,Heracleum bivittatum,苏仲球,13,19851213,广东,,,,有花无果,叶片和花有些损坏,https://image.cvh.ac.cn/files/l/SN/SN004819.jpg,,,,,,,,,, +二管独活,Heracleum bivittatum,安顺队,1632,19590907,贵州省,2000,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0462091.jpg,,,,,,,,,, +,Heracleum bivittatum,"Delavay, J.M.",6904,1895-9,,,,,,https://image.cvh.ac.cn/files/l/P/P00245505.jpg,,,,,,,,,, +,Heracleum candicans var. candicans,,,,,,,,,,,,,,,,,,, +中甸独活,Heracleum forrestii,和炳先,85-012,,云南省 ,3700,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00023550.jpg,,,,,,,,,, +中甸独活,Heracleum forrestii,倪志诚等,253,19800627,西藏自治区,2300,河谷灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01941636.jpg,,,,,,,,,, +中甸独活,Heracleum forrestii,T.T.Yü,22672,19380903,云南省,4000,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756550.jpg,,,,,,,,,, +独活,Heracleum hemsleyanum,陈旭才等,F2001.43,20010518,江苏,,,,有果无花,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0000063.jpg,,,,,,,,,, +独活,Heracleum hemsleyanum,张志英,18330,1980/8/16,陕西,2000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0422570.jpg,,,,,,,,,, +独活,Heracleum hemsleyanum,周柳,LXP03-08452,20171007,湖南,,山谷、壤土、路旁、溪边,陆生,草本,直立,无花有果,https://image.cvh.ac.cn/files/l/HNNU/HNNU00061398.jpg,,,,,,,,,, +,Heracleum henryi,"Henry, Augustine",12486B,,,,,,,https://image.cvh.ac.cn/files/l/E/E00002772.jpg,,,,,,,,,, +思茅独活,Heracleum henryi,刘瑛,13293,19500809,河北省,1250,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0460514.jpg,,,,,,,,,, +思茅独活,Heracleum henryi,建水县普查队,5325240842,20191112,云南,1845,林缘,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1524254.jpg,,,,,,,,,, +丽江独活,Heracleum likiangense,和鸣昌,21721,19390920,云南省,,草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01881831.jpg,,,,,,,,,, +,Heracleum millefolium var. longilobum,J. F. Rock,12734,1925,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00076574.jpg,,,,,,,,,, +,Heracleum millefolium var. longilobum,费勇,孙航等,392,19900818,西藏自治区,4600,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0462252.jpg,,,,,,,,,, +长裂叶独活,Heracleum millefolium var. longilobum,何兴金,H027,1990-7 2,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102124.jpg,,,,,,,,,, +,Heracleum millefolium var. millefolium,T.N.Ho(HNWP) et al.,2087,19960819,青海省,3850~3950,Growing on disturbed soil banks in shade.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756606.jpg,,,,,,,,,, +短毛独活,Heracleum moellendorffii var. moellendorffii,季羽,2018071001,20180710,黑龙江,198m,林缘,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0002155.jpg,,,,,,,,,, +短毛独活(原变种),Heracleum moellendorffii var. moellendorffii,袁昌齐,等,76,19790916,四川省,3400,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00023731.jpg,,,,,,,,,, +狭叶短毛独活,Heracleum moellendorffii var. subbipinnatum,李华春 夏瑞胜 周以良等,26833,19570826,吉林省,,,岳桦林草原地,有花无果,https://image.cvh.ac.cn/files/l/NEFI/081016002010001.jpg,,,,,,,,,, +狭叶独活,Heracleum moellendorffii var. subbipinnatum,D.Z.Lu,,19920607,山西,1500,,,,https://image.cvh.ac.cn/files/l/BJFC/00014054.jpg,,,,,,,,,, +细叶短毛白芷,Heracleum moellendorffii var. subbipinnatum,通化组,357,19590910,吉林,,岳桦林空地,,无花有果,https://image.cvh.ac.cn/files/l/JLSLKY/JLSLKY02357.jpg,,,,,,,,,, +尼泊尔独活,Heracleum nepalense,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201191,20200723,西藏,2482,河边石上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507169.jpg,,,,,,,,,, +,Heracleum nepalense,T.T.Yü,9059,19370727,云南省,4000,mt roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01881759.jpg,,,,,,,,,, +尼泊尔独活,Heracleum nepalense,张有林,5.22E+15,20140608,贵州,,山腰,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0003226.jpg,,,,,,,,,, +聂拉木独活,Heracleum nyalamense,西藏生物所植物资源队,3657,19830819,西藏自治区,2900,常绿阔叶林林缘,草本,有花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0004994.jpg,,,,,,,,,, +聂拉木独活,Heracleum nyalamense,魏来、何毅,BNUXZ2016547,20160717,西藏,3850,山坡灌草丛,,,https://image.cvh.ac.cn/files/l/BNU/0028092.jpg,,,,,,,,,, +聂拉木独活,Heracleum nyalamense,,900,19590600,,3800,空旷之湿地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01881806.jpg,,,,,,,,,, +山地独活,Heracleum oreocharis,T.P.Wang,1349,19330724,陕西省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00037691.jpg,,,,,,,,,, +山地独活,Heracleum oreocharis,青藏队,3944,1981-8 7,四川省,3850,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102162.jpg,,,,,,,,,, +山地独活,Heracleum oreocharis,和炳先,,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00024809.jpg,,,,,,,,,, +鹤庆独活,Heracleum rapula,和炳光,85-014,,云南省 ,2300,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00023682.jpg,,,,,,,,,, +鹤庆独活,Heracleum rapula,,,19740820,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075140.jpg,,,,,,,,,, +烧羊古,Heracleum rapula,王朝明,193,19870412,贵州省,,山坡沟边阴湿地,草本,无花无果,https://image.cvh.ac.cn/files/l/GZTM/0028847.jpg,,,,,,,,,, +康定独活,Heracleum souliei,余奇、周晓雪,THP-KD-4087,20170711,四川,3348-3745,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242112.jpg,,,,,,,,,, +,Heracleum souliei,"Soulié, J.A.",299,1893-7-20,,,,,,https://image.cvh.ac.cn/files/l/P/P00245557.jpg,,,,,,,,,, +康定独活,Heracleum souliei,刘尚武,2444,19770810,青海省,3700,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00004545.jpg,,,,,,,,,, +狭翅独活,Heracleum stenopterum,朱鑫鑫、陈彬、沈彬、宋以刚,CSH06964,20140802,四川省,3818.63,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0037696.jpg,,,,,,,,,, +狭翅独活,Heracleum stenopterum,腾冲普查队,530522151019761LY,20151019,云南省,1856,草丛,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0030499.jpg,,,,,,,,,, +狭翅独活,Heracleum stenopterum,联大,20026,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0462335.jpg,,,,,,,,,, +微绒毛独活,Heracleum subtomentellum,潘泽惠,袁昌齐等,84,19841003,云南省,2200,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00023687.jpg,,,,,,,,,, +微绒毛独活,Heracleum subtomentellum,青藏队,76-9163,19760905,西藏自治区,4400,河谷滩地,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/01843423.jpg,,,,,,,,,, +微绒毛独活,Heracleum subtomentellum,闫平 刘鸯,7138,20080809,新疆维吾尔自治区,3650,山谷,石坡,多年生,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00578881.jpg,,,,,,,,,, +平截独活,Heracleum vicinum,黄汉东,万丹,218,20160722,湖北,1600,,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0173753.jpg,,,,,,,,,, +牛尾独活,Heracleum vicinum,贾安静,8,19860805,贵州省,1200,生于山坡,林下或草地,草本,有花无果,https://image.cvh.ac.cn/files/l/GZTM/0028856.jpg,,,,,,,,,, +,Heracleum vicinum,李盛兰,GanQL367,20121027,湖北省,1300,路边林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336509.jpg,,,,,,,,,, +永宁独活,Heracleum yungningense,中美联合鄂西考察队,1254,19800913,湖北省,1780,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0075643.jpg,,,,,,,,,, +永宁独活,Heracleum yungningense,K.M.Liou,L.5174,1935/8/15,河南,1400,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0010910.jpg,,,,,,,,,, +永宁独活,Heracleum yungningense,C.W.Wang,65905,1935/08/,云南,3600,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0036378.jpg,,,,,,,,,, +云南独活,Heracleum yunnanense,李馨,74258,19570829,四川省,3420,,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0462347.jpg,,,,,,,,,, +长柄银叶树,Heritiera angustata,陈炳辉,321,19870327,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0263272.jpg,,,,,,,,,, +长柄银叶树,Heritiera angustata,张宏达,4148,19470503,海南省 ,250,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0263273.jpg,,,,,,,,,, +长柄银叶树,Heritiera angustata,Cheng Ping En,2038,19250622,福建省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/111178062.jpg,,,,,,,,,, +,Heritiera dubia,,,,,,,,,,,,,,,,,,, +醉魂藤,Heterostemma alatum,刘心祈,25443,19360225,海南省,0,in forest,,有果无花,https://image.cvh.ac.cn/files/l/KUN/308392.jpg,,,,,,,,,, +醉魂藤,Heterostemma alatum,麻超柏、石琳军,HY20180710_0400,20180710,湖南,449.3,灌丛,藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU31953.jpg,,,,,,,,,, +醉魂藤,Heterostemma alatum,董金廷,HNP0116,20131002,河南,40,,草本,无花有果,https://image.cvh.ac.cn/files/l/AU/AU078124.jpg,,,,,,,,,, +小果海木,Heynea trijuga,F.A.McClure,18294,19290802,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00408896.jpg,,,,,,,,,, +,Heynea trijuga,"李儒财, 龙文兴",LWX20031,20130719,海南,,热带山地雨林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1332847.jpg,,,,,,,,,, +鹧鸪花,Heynea trijuga,刘昂,19051801,20190518,湖南,80,,木本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI065653.jpg,,,,,,,,,, +,Hibiscus austroyunnanensis,,,,,,,,,,,,,,,,,,, +墨脱木槿,Hibiscus fragrans,孙航,周浙昆,俞宏渊,1643,19921125,西藏自治区,700,in scattered forest,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0474244.jpg,,,,,,,,,, +大叶木槿,Hibiscus macrophyllus,C.W.Wang,74628,19360600,云南省 ,1030,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0281082.jpg,,,,,,,,,, +大叶木槿,Hibiscus macrophyllus,Otto DEGENER ,10331,19360124,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01286647.jpg,,,,,,,,,, +大叶木槿,Hibiscus macrophyllus,毛品一,20163,19550331,云南省,550,村中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01286644.jpg,,,,,,,,,, +刺芙蓉,Hibiscus surattensis,侯元同,郭成勇,侯元兔,曹灵杰,20180426286-1,20180428,海南,17,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0048269.jpg,,,,,,,,,, +刺芙蓉,Hibiscus surattensis,陈真传、陈景方,96,20010531,广东,,,,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00029893.jpg,,,,,,,,,, +刺芙蓉,Hibiscus surattensis,周仕顺,2110,20041004,云南省,750,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01452007.jpg,,,,,,,,,, +木槿,Hibiscus syriacus,岳俊三,岳0554,19540824,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01452125.jpg,,,,,,,,,, +木槿,Hibiscus syriacus,红水河植物考察队,89-1030,19890507,广西壮族自治区,900,石灰岩山坡 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999998.jpg,,,,,,,,,, +木槿,Hibiscus syriacus,曹茂华,93454,19930927,江西省,50,山脚路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01879714.jpg,,,,,,,,,, +野西瓜苗,Hibiscus trionum,于兆英,1796,19810816,宁夏回族自治区,1300,沙土地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01439232.jpg,,,,,,,,,, +野西瓜苗,Hibiscus trionum,黄迎新,184,20150717,吉林省白城市,147,草甸/盐化低地草甸/草甸土,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0228053.jpg,,,,,,,,,, +野西瓜苗,Hibiscus trionum,侯小琪,522325180920021LY,20180920,贵州,1021.1,草丛、中生、阳性、中温、钙质土、野生植物,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0094881.jpg,,,,,,,,,, +,Hibiscus vitifolius,,19175,19290823,,1200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0281975.jpg,,,,,,,,,, +山柳菊,Hieracium umbellatum,,850064,19850922,浙江省,1100,,草本,,https://image.cvh.ac.cn/files/l/ZM/ZMNH0040855.jpg,,,,,,,,,, +山柳菊,Hieracium umbellatum,,,,江苏省,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0003534.jpg,,,,,,,,,, +伞花山柳菊,Hieracium umbellatum,王正文、宋传涛、邸泽雷,王正文0739,20170726,内蒙古自治区呼伦贝尔市,757,"白桦林缘,路边",,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0235761.jpg,,,,,,,,,, +,Himalacodon dicentrifolius,,,,,,,,,,,,,,,,,,, +,Himalaiella abnormis,FLPH Tibet Expedition,12-0179,20120904,西藏自治区,3709,河谷灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01978985.jpg,,,,,,,,,, +,Himalaiella auriculata,PE西藏队,PE6179,20170910,西藏自治区,2488~2994,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890873.jpg,,,,,,,,,, +,Himalaiella auriculata,"刘成, 张挺, 亚吉东",18CS17495,20180912,西藏,3281,林缘,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484192.jpg,,,,,,,,,, +三角叶须弥菊,Himalaiella deltoidea,王正伟、钟鑫,WZW08576,20150921,浙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0105420.jpg,,,,,,,,,, +三角叶凤毛菊,Himalaiella deltoidea,孙键,赵万义,张忠,LXP-13-7302,20131020,江西省吉安市,, , ,,https://image.cvh.ac.cn/files/l/SYS/SYS00177714.jpg,,,,,,,,,, +三角叶须弥菊,Himalaiella deltoidea,田林普查队,4.51E+14,20121021,广西壮族自治区,1205,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI056243.jpg,,,,,,,,,, +,Himalaiella nivea,"张挺, 刘成, 亚吉东",18CS17625,20180913,西藏,2694,乔松林下灌草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483684.jpg,,,,,,,,,, +小头须弥菊,Himalaiella nivea,张桥蓉,宋鼎,孙旭伟,ZhangYH082,20190831,贵州,1760,灌草丛中,一年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1489828.jpg,,,,,,,,,, +,Himalaiella nivea,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1122,20130813,西藏自治区,2523,山谷溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02001358.jpg,,,,,,,,,, +,Himalaiella qinghaiensis,,,,,,,,,,,,,,,,,,, +,Himalaiella yakla,PE西藏队,PE5868,20170905,西藏自治区,3020~3460,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890423.jpg,,,,,,,,,, +,Himalaiella yakla,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-017-B12,20160805,四川,,高山栎群落中,多年生草本(无地上茎),有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610146.jpg,,,,,,,,,, +,Himalrandia tetrasperma,,,,,,,,,,,,,,,,,,, +,Himgiria compressa,,,,,,,,,,,,,,,,,,, +川滇女蒿,Hippolytia delavayi,古城区普查队,530702367,20120727,云南省,3166,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0018606.jpg,,,,,,,,,, +川滇女蒿,Hippolytia delavayi,王跃华;申仕康等,YNUWYH021B04,20180926,云南,3580,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1565029.jpg,,,,,,,,,, +川滇女蒿,Hippolytia delavayi,生态室高原组,14943,19800906,西藏自治区,3600~3800,高山 草甸偶见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01447341.jpg,,,,,,,,,, +束伞女蒿,Hippolytia desmantha,吴玉虎,20493,20010825,青海省,0~3500,干山坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00006863.jpg,,,,,,,,,, +团伞女蒿,Hippolytia glomerata,西藏中草药普查队,4389,19720904,西藏自治区,4500,山顶草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607112.jpg,,,,,,,,,, +棉毛女蒿,Hippolytia gossypina,张永田,郎楷永,2067,19650820,西藏自治区,5300,山坡雪地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/721784.jpg,,,,,,,,,, +垫状女蒿,Hippolytia kennedyi,西藏中草药普查队,4359,19720823,西藏自治区,4800,高山草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607141.jpg,,,,,,,,,, +垫状女蒿,Hippolytia kennedyi,徐国荣,23391,19800909,四川省,0~4800,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0595804.jpg,,,,,,,,,, +大花女蒿,Hippolytia megacephala,新疆采集队,1917,1978.8.4,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00040088.jpg,,,,,,,,,, +大花女蒿,Hippolytia megacephala,新疆采集队,1917,197884,,3300,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20020661.jpg,,,,,,,,,, +普兰女蒿,Hippolytia senecionis,生物研究所西藏考察队,4058,19740819,西藏自治区,3700,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607146.jpg,,,,,,,,,, +合头女蒿,Hippolytia syncalathiformis,西藏队植被组,6140,19750918,西藏自治区,4600,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00607148.jpg,,,,,,,,,, +灰叶女蒿,Hippolytia tomentosa,青藏队,7790,19760616,西藏自治区,4500,山坡砂地灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/721789.jpg,,,,,,,,,, +大叶女蒿,Hippolytia yunnanensis,冯国楣,24052,19591010,云南省,3200,沟边石滩上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/721796.jpg,,,,,,,,,, +,Hippolytia yunnanensis,"Forrest, George",53,4-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00413530.jpg,,,,,,,,,, +大叶女蒿,Hippolytia yunnanensis,青藏队,12324,19830723,四川省,4000~3900,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/721801.jpg,,,,,,,,,, +杉叶藻,Hippuris vulgaris,,762,19790808,四川,3000,沟边,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM714600020.jpg,,,,,,,,,, +,Hippuris vulgaris,Wu et Yang,37609,19360730,北京,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0010603.jpg,,,,,,,,,, +杉叶藻,Hippuris vulgaris,易富科,318,19800827,新疆维吾尔自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0005609.jpg,,,,,,,,,, +止泻木,Holarrhena pubescens,沙文兰,11770,19720507,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI030550.jpg,,,,,,,,,, +止泻木,Holarrhena pubescens,H Kanai,721218,19720709,Topke Gola,700,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/239104.jpg,,,,,,,,,, +止泻木,Holarrhena pubescens,裴盛基,59-11370,19591110,云南省,650,草地边缘灌丛,,有果无花,https://image.cvh.ac.cn/files/l/KUN/239143.jpg,,,,,,,,,, +冬红,Holmskioldia sanguinea,罗金裕,5157,19730827,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI042829.jpg,,,,,,,,,, +冬红,Holmskioldia sanguinea,N.Fukuyama,,19230707,台湾省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00217695.jpg,,,,,,,,,, +冬红,Holmskioldia sanguinea,,,201412,云南,,,,有花无果,https://image.cvh.ac.cn/files/l/BJM/0215182.jpg,,,,,,,,,, +,Hopea shingkeng,,,,,,,,,,,,,,,,,,, +,Hoya acuminata,,,,,,,,,,,,,,,,,,, +,Hoya arnottiana,,,,,,,,,,,,,,,,,,, +云南眼树莲,Hoya chinghungensis,王洪,2196,19980705,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/089092.jpg,,,,,,,,,, +伊甸球兰,Hoya edeni,韩周东,HZD20100,20200930,云南,2261,中山湿性常绿阔叶林,附生植物,有花有果,https://image.cvh.ac.cn/files/l/KUN/1507814.jpg,,,,,,,,,, +黄花球兰,Hoya fusca,吴磊,3601,20130509,广西壮族自治区,1200~1400,山坡密林,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0029925.jpg,,,,,,,,,, +黄花球兰,Hoya fusca,生物研究所西藏考察队,1030,19730718,西藏自治区,2100,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/38114.jpg,,,,,,,,,, +黄花球兰,Hoya fusca,王启无,65992,19351000,云南省 ,2000,,vine parasitie,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00209226.jpg,,,,,,,,,, +,Hoya globulosa,,,,,,,,,,,,,,,,,,, +线叶球兰,Hoya linearis,"刘成, 亚吉东, 张良",18CS17180,20181113,西藏,1286,路边树上,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1482782.jpg,,,,,,,,,, +线叶球兰,Hoya linearis,邱炳云,52862,19561215,云南省,2100,,爬形,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00209235.jpg,,,,,,,,,, +线叶球兰,Hoya linearis,李剑武,3138,20130510,云南,1800,常绿阔叶林,藤本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028361.jpg,,,,,,,,,, +,Hoya lobbii,,,,,,,,,,,,,,,,,,, +,Hoya nyingchiensis,,,,,,,,,,,,,,,,,,, +,Hoya parasitica,H.F.Sun,1560a,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01618984.jpg,,,,,,,,,, +,Hoya pauciflora,,,,,,,,,,,,,,,,,,, +多脉球兰,Hoya polyneura,青藏队,9304,19820813,云南省,1400,山坡 常绿阔叶林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/01132816.jpg,,,,,,,,,, +,Hoya thomsonii,,,,,,,,,,,,,,,,,,, +岭南山茉莉,Huodendron biaristatum,Y.Tsiang,6714,19300826,贵州省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/132241031.jpg,,,,,,,,,, +岭南山茉莉,Huodendron biaristatum,毛品一,471,1951/8/25,云南省,1500,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0244711.jpg,,,,,,,,,, +双齿山茉莉,Huodendron biaristatum,黄金,,19580407,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2011962.jpg,,,,,,,,,, +西藏山茉莉,Huodendron tibeticum,G.Forrest,22832,19221000,西藏自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0453493.jpg,,,,,,,,,, +,Huodendron tibeticum,"Forrest, George",21648,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00127298.jpg,,,,,,,,,, +西藏山茉莉,Huodendron tibeticum,李瑞锋、孟德昌、杨自猛,323,20200324,广西,~15,栽培,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00436865.jpg,,,,,,,,,, +冠盖绣球,Hydrangea anomala,李国献,296,19570626,陕西省,1680,山沟溪旁 阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02087010.jpg,,,,,,,,,, +冠盖绣球,Hydrangea anomala,广福林区采集队,197,19550616,广西,1000,阴处,密林中,藤本攀援,有花无果,https://image.cvh.ac.cn/files/l/GAC/GAC0010629.jpg,,,,,,,,,, +冠盖绣球,Hydrangea anomala,林科所,662,,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597481.jpg,,,,,,,,,, +马桑绣球,Hydrangea aspera,H.T.Tsai,52778,19320722,贵州省,1250,On woodland,,有花有果,https://image.cvh.ac.cn/files/l/PE/00814706.jpg,,,,,,,,,, +马桑绣球,Hydrangea aspera,,118,19890729,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898236.jpg,,,,,,,,,, +,Hydrangea aspera,华东农林部森林调查队浙江队,40060,19500729,浙江,,,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00012696.jpg,,,,,,,,,, +东陵八仙花,Hydrangea bretschneideri,森改组,20639,19570707,云南,1700,,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00012606.jpg,,,,,,,,,, +东陵绣球,Hydrangea bretschneideri,K.M.Liou,4620,19350625,河南省,940,Arbrisseaux,,有花无果,https://image.cvh.ac.cn/files/l/PE/00791238.jpg,,,,,,,,,, +东陵绣球,Hydrangea bretschneideri,"蒲拴莲, 李茂文",M088,20170811,内蒙古,1479,北温带;林场坡地,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1447672.jpg,,,,,,,,,, +中国绣球,Hydrangea chinensis,Exp. Mingxi,5151,20050713,福建,500,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00615578.jpg,,,,,,,,,, +中国绣球,Hydrangea chinensis,赵小全,196,96.7,河南,1050,,,无花无果,https://image.cvh.ac.cn/files/l/HENU/1009528.jpg,,,,,,,,,, +,Hydrangea chinensis,赵玮,BSGLGSly156,20111111,云南,2120,中山湿性常绿阔叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1237661.jpg,,,,,,,,,, +微绒绣球,Hydrangea heteromalla,George Forrest,10260,19130600,云南省,3667,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01666263.jpg,,,,,,,,,, +微绒绣球,Hydrangea heteromalla,T.N.Liou & P.C.Tsoong,2526,19380720,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00791344.jpg,,,,,,,,,, +微绒绣球,Hydrangea heteromalla,中美联合鄂西考察队,1529,19800919,湖北省,1900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00996531.jpg,,,,,,,,,, +白背绣球,Hydrangea hypoglauca,壶瓶山考察队,765,19870626,湖南省,1700~1900,常绿?叶阔叶混交林灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01982447.jpg,,,,,,,,,, +倒卵白背绣球,Hydrangea hypoglauca,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201387,20200731,西藏,2590,林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507069.jpg,,,,,,,,,, +白背绣球,Hydrangea hypoglauca,林,,19460608,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00814447.jpg,,,,,,,,,, +大果绣球,Hydrangea macrocarpa,谷忠村,70250,19890702,湖南省,,路边荒地,落叶灌木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU18795.jpg,,,,,,,,,, +大果绣球,Hydrangea macrocarpa,98本第6组,104,19990620,河北省,1700,山谷或山谷林下或林缘,灌木喜阳,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC026117.jpg,,,,,,,,,, +大果绣球,Hydrangea macrocarpa,刘志文,20186195,20180418,贵州省,613,山坡田野里,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0027707.jpg,,,,,,,,,, +绣球,Hydrangea macrophylla,王赛,2.02E+11,20200720,山东,200,栽培,灌木,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0059611.jpg,,,,,,,,,, +绣球,Hydrangea macrophylla,F.T.Wang,21894,1930/07/,四川省 ,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0045117.jpg,,,,,,,,,, +绣球,Hydrangea macrophylla,Noriaki Fukuyama,5191,19350601,台湾省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00336000.jpg,,,,,,,,,, +粗枝绣球,Hydrangea robusta,陈利,QNSY2040043,20030710,贵州省,1180,草丛,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0002975.jpg,,,,,,,,,, +粗枝绣球,Hydrangea robusta,"刘成, 张挺, 甘啟良, 李盛兰",17CS15884,20170618,湖北,1151,水杉林下,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444533.jpg,,,,,,,,,, +粗壮绣球,Hydrangea robusta,任,781230,19780700,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00029878.jpg,,,,,,,,,, +腊莲绣球,Hydrangea strigosa,辛景三,790,19570910,云南省,1550~2450,山沟、溪边、密林、潮湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/00815108.jpg,,,,,,,,,, +蜡莲绣球,Hydrangea strigosa,赵万义、潭维政、冯欣欣、刘忠成、张记军、叶矾、张忠,LXP-13-09297,20151101,江西省吉安市,,山谷、壤土、疏林,陆生、灌木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00181366.jpg,,,,,,,,,, +,Hydrangea strigosa,兰国华,LiuRL080,20111021,江西,839,次生阔叶林,灌木,,https://image.cvh.ac.cn/files/l/KUN/1237520.jpg,,,,,,,,,, +中华天胡荽,Hydrocotyle hookeri subsp. chinensis,江明喜,杨筑筑,周天阳,杨腾,887,20200918,湖南,649,路边,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0204787.jpg,,,,,,,,,, +中华天胡荽,Hydrocotyle hookeri subsp. chinensis,唐昌林等,156,1984-8 1,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093650.jpg,,,,,,,,,, +中华天胡荽,Hydrocotyle hookeri subsp. chinensis,农东新,黄俞淞,451421150425023LY,20150425,广西,120,阔叶林,林下,石灰土,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0187042.jpg,,,,,,,,,, +,Hydrocotyle hookeri subsp. hookeri,,,,,,,,,,,,,,,,,,, +鄂西天胡荽,Hydrocotyle wilsonii,谭策铭,张丽萍,易发彬,胡兵,易桂花,桑植012,20030628,湖南省,1300,山谷林缘草丛,,无花无果,https://image.cvh.ac.cn/files/l/JJF/00019110.jpg,,,,,,,,,, +鄂西天胡荽,Hydrocotyle wilsonii,岳俊三等,4123,19630921,江西省,800,阴湿草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01860152.jpg,,,,,,,,,, +鄂西天胡荽,Hydrocotyle wilsonii,张代贵、王业清、朱晓琴,2293,20170818,湖北宜昌,1132,针阔混交林下草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE09443.jpg,,,,,,,,,, +田基麻,Hydrolea zeylanica,熊耀国,4908,19460920,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00022071.jpg,,,,,,,,,, +田基麻,Hydrolea zeylanica,"张绍云, 叶金科, 周兵",YNS1381,20150107,云南,,澜沧江边,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1447046.jpg,,,,,,,,,, +田基麻,Hydrolea zeylanica,李恩香,pyh00034,20161113,江西,,,,无花有果,https://image.cvh.ac.cn/files/l/JXU/JXU0020453.jpg,,,,,,,,,, +小叶水蓑衣,Hygrophila erecta,林洪胜,228,19640421,海南省 ,0,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0559220.jpg,,,,,,,,,, +小叶水蓑衣,Hygrophila erecta,王启无,80372,193611,云南省,1080,"mountain slope,forest",,有花无果,https://image.cvh.ac.cn/files/l/KUN/233844.jpg,,,,,,,,,, +小叶水蓑衣,Hygrophila erecta,侯宽昭,70005,19330120,海南省,0,旷野田边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/736537.jpg,,,,,,,,,, +毛水蓑衣,Hygrophila phlomoides,刘成,谷志佳,李昌洪,13CS7965,20131225,云南,1124,田边,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1385929.jpg,,,,,,,,,, +毛水蓑衣,Hygrophila phlomoides,陶国达,12906,19741020,云南省,,路边潮湿,草本,,https://image.cvh.ac.cn/files/l/HITBC/0025181.jpg,,,,,,,,,, +毛水蓑衣,Hygrophila phlomoides,符国瑗,5964,19851200,海南省,0~5,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0559035.jpg,,,,,,,,,, +小狮子草,Hygrophila polysperma,李永亮,LiYL1878,20180420,云南,860,南亚热带干热河坝杂栎木林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1454234.jpg,,,,,,,,,, +小狮子草,Hygrophila polysperma,C.O.Levine,s.n.,19171204,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01603837.jpg,,,,,,,,,, +小狮子草,Hygrophila polysperma,廖厚知,韦作干,23256,20110328,广西壮族自治区,,荒地水沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI062043.jpg,,,,,,,,,, +水蓑衣,Hygrophila ringens,曾怀德,29460,19390830,,,海边,草本,,https://image.cvh.ac.cn/files/l/HITBC/0025198.jpg,,,,,,,,,, +,Hygrophila ringens,,815,903,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01545947.jpg,,,,,,,,,, +水蓑衣,Hygrophila ringens,"刘金,宋丽雅,李真,邵剑文(Liu Jin,Song LiYa,Li Zheng,Shao JanW",ANUB00211,20150926,安徽省,297.977,林下(Under the trees),,有花无果,https://image.cvh.ac.cn/files/l/ANUB/ANUB001744.jpg,,,,,,,,,, +,Hylocereus undatus,李振宇等,1454,19981024,广西壮族自治区,850,山坡,石山,,无花无果,https://image.cvh.ac.cn/files/l/PE/01991187.jpg,,,,,,,,,, +量天尺,Hylocereus undatus,严靖、汪远、王樟华,RQHD03567,20180327,海南,28.4,路边林缘,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0155214.jpg,,,,,,,,,, +,Hylocereus undatus,Shiu Ying Hu,10837,19690924,香港,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01068624.jpg,,,,,,,,,, +,Hymenandra wallichii,,,,,,,,,,,,,,,,,,, +毛土连翘,Hymenodictyon orixense,张文富、董金龙、沐金海、鲍顺荣,ZhangWF170,20210218,云南,660,村边河沟旁,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1509613.jpg,,,,,,,,,, +毛土连翘,Hymenodictyon orixense,李延辉,4673,19630725,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00099410.jpg,,,,,,,,,, +毛土连翘,Hymenodictyon orixense,V.Narayana Swanny,18755,19290813,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0442849.jpg,,,,,,,,,, +天仙子,Hyoscyamus niger,张欣欣;初书征;王欢,WangCh582,20190902,黑龙江,162,村落,二年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1552160.jpg,,,,,,,,,, +天仙子,Hyoscyamus niger,罗建、汪书丽、任德智,L111,20100905,西藏自治区,0~3210,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0283203.jpg,,,,,,,,,, +天仙子,Hyoscyamus niger,K.M.Liou,4331,1935/6/13,河南省,650,,herb,无花有果,https://image.cvh.ac.cn/files/l/WUK/0013505.jpg,,,,,,,,,, +中亚天仙子,Hyoscyamus pusillus,邢吉庆,22320,19730805,新疆维吾尔自治区,,,草本,无花有果,https://image.cvh.ac.cn/files/l/XBGH/XBGH012692.jpg,,,,,,,,,, +中亚天仙子,Hyoscyamus pusillus,魏振铎,22093,19800823,青海省,3750,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/97770.jpg,,,,,,,,,, +中亚天仙子,Hyoscyamus pusillus,,,19760900,,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0031157.jpg,,,,,,,,,, +,Hypochaeris glabra,S.?,s.n.,19000802,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01672615.jpg,,,,,,,,,, +,Hypochaeris glabra,Ming-Jer Jung,3864,20090401,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01894989.jpg,,,,,,,,,, +猫耳菊,Hypochaeris radicata,曾宪锋,ZXF33132,20171008,广东省,810,山地、疏林,多年生直立草本,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0028435.jpg,,,,,,,,,, +假蒲公英猫儿菊,Hypochaeris radicata,张桥蓉,宋鼎,赵国放,张辽,ZhangYH001,20190503,贵州,2131,路边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489071.jpg,,,,,,,,,, +猫耳菊,Hypochaeris radicata,曾宪锋,ZXF38491,20180821,福建,225,山地、灌丛,多年生直立草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0033769.jpg,,,,,,,,,, +三花枪刀药,Hypoestes triflora,罗建,汪书丽,LiuJQ-11XZ-197,20110921,西藏,2499,针阔林林缘坡地,草本,,https://image.cvh.ac.cn/files/l/KUN/1385939.jpg,,,,,,,,,, +三花枪刀药,Hypoestes triflora,新平县普查队,5304270836,20121013,云南省,2040,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0020959.jpg,,,,,,,,,, +枪刀药,Hypoestes triflora,,11050,19380820,湖南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0056913.jpg,,,,,,,,,, +锡仗花,Hypopitys monotropa,张铭哲等,37,1980.7.20,河南,,,小灌木,有花无果,https://image.cvh.ac.cn/files/l/HENU/20716.jpg,,,,,,,,,, +毛花松下兰,Hypopitys monotropa,,660603,,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00023431.jpg,,,,,,,,,, +毛花松下兰,Hypopitys monotropa,李义,268,19870708,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/ZY/ZY0000495.jpg,,,,,,,,,, +藏药木,Hyptianthera stricta,,9338,19590000,,,,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0001048.jpg,,,,,,,,,, +藏药木,Hyptianthera stricta,生物研究所西藏考察队,1467,19730718,西藏自治区,800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/39413.jpg,,,,,,,,,, +藏药木,Hyptianthera stricta,申健勇、郗厚诚,XTBGSJY007B01,20180506,云南,766,,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551707.jpg,,,,,,,,,, +屈曲花,Iberis amara,张志和等,3660,19890718,青海省,2250,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/157221.jpg,,,,,,,,,, +屈曲花,Iberis amara,刘全儒,20080913007,20080913,北京,,花圃种植,草本,,https://image.cvh.ac.cn/files/l/BNU/0010708.jpg,,,,,,,,,, +屈曲花,Iberis amara,王万里,408,19570627,江苏省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00328258.jpg,,,,,,,,,, +,Iberis intermedia,,s.n.,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01055076.jpg,,,,,,,,,, +披针叶屈曲花,Iberis intermedia,郝加琛,周瑜,16706,20160712,新疆维吾尔自治区,2388,路旁草丛,草本,,https://image.cvh.ac.cn/files/l/BNU/0030293.jpg,,,,,,,,,, +披针叶屈曲花,Iberis intermedia,张志和等,3247,19890807,青海省,2244,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/156914.jpg,,,,,,,,,, +腰骨藤,Ichnocarpus frutescens,黄淑美,190530,19590609,福建省,150,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0477815.jpg,,,,,,,,,, +腰骨藤,Ichnocarpus frutescens,黄志,37060,19340528,广东,,river side,scandent on forest,有花无果,https://image.cvh.ac.cn/files/l/SN/SN005417.jpg,,,,,,,,,, +腰骨藤,Ichnocarpus frutescens,海南工作站,417,19600603,海南省 ,200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0477786.jpg,,,,,,,,,, +长梗黑果冬青,Ilex atrata,"简焯坡,应俊生,马成功等",30516,19630805,贵州省,850,林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/02058744.jpg,,,,,,,,,, +长梗黑果冬青,Ilex atrata,A.N.Steward & H.C.Chao,,19370702,福建省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00017410.jpg,,,,,,,,,, +黑果冬青,Ilex atrata,李剑武,4158,20140822,云南,2500,常绿阔叶林,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028785.jpg,,,,,,,,,, +刺叶冬青,Ilex bioritsensis,刘翔,2067584,20060729,重庆,1620,山地杂木林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0094197.jpg,,,,,,,,,, +刺叶冬青,Ilex bioritsensis,徐新华等,S4339,19850706,浙江省,500,山腰灌木丛,常绿灌木,无花有果,https://image.cvh.ac.cn/files/l/ZM/ZMNH0042822.jpg,,,,,,,,,, +刺卵叶冬青,Ilex bioritsensis,吴金清,马小业,姚其伟,5319,20050529,湖北,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0181647.jpg,,,,,,,,,, +龟甲冬青,Ilex crenata,李宏庆等,SDP11543,20110514,上海,,校园,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0074968.jpg,,,,,,,,,, +,Ilex crenata,何景,2265,19470602,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/013020.jpg,,,,,,,,,, +龟甲冬青,Ilex crenata,马祥宾,30241,20130605,山东省,22,山坡,常绿灌木,有花无果,https://image.cvh.ac.cn/files/l/SDFGR/SDF1006596.jpg,,,,,,,,,, +弯尾冬青,Ilex cyrtura,,16768,19231100,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/097157338.jpg,,,,,,,,,, +弯尾冬青,Ilex cyrtura,贺贤育,4363,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00423596.jpg,,,,,,,,,, +弯尾冬青,Ilex cyrtura,资源县普查队,450329160925010LY,20160925,广西,1071,阔叶林,林下,沟边,乔木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0172368.jpg,,,,,,,,,, +线叶陷脉冬青,Ilex delavayi,H.T.Tsai,59761,19331012,云南省 ,2900,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00075862.jpg,,,,,,,,,, +线叶陷脉冬青,Ilex delavayi,蔡希陶,59761,19341012,云南省,2900,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00002070.jpg,,,,,,,,,, +陷脉冬青(原变种),Ilex delavayi,张挺,刘成,马梁梁,付小刚,20CS19529,20200707,四川,2358,山脊林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1504635.jpg,,,,,,,,,, +双核冬青,Ilex dipyrena,钟补求,693,,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01317145.jpg,,,,,,,,,, +,Ilex dipyrena,广西队,851,19530000,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01981506.jpg,,,,,,,,,, +双核枸骨,Ilex dipyrena,周应再,ZhouYZ138,20170408,云南,2376,中山湿性常绿阔叶林,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1453339.jpg,,,,,,,,,, +冬青属,Ilex fargesii subsp. melanotricha,K.M.Feng,4159,19400526,云南省,2700,沟边杂林中 习见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01322119.jpg,,,,,,,,,, +无毛滇西冬青,Ilex forrestii,C.W.Wang,67743,19350800,云南省,0,under forest,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00071445.jpg,,,,,,,,,, +无毛滇西冬青,Ilex forrestii,赵子孝,1692,,云南省 ,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0546238.jpg,,,,,,,,,, +滇西冬青,Ilex forrestii,梅里队,27261,19930514,云南,2950,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG006052.jpg,,,,,,,,,, +薄叶冬青,Ilex fragilis,曾宪锋,ZXF06555,20090516,广东省,620,,灌木,,https://image.cvh.ac.cn/files/l/CZH/CZH0016718.jpg,,,,,,,,,, +毛薄叶冬青,Ilex fragilis,H.T.Tsai,62680,19340715,云南省,1500,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00424074.jpg,,,,,,,,,, +毛薄叶冬青,Ilex fragilis,李洪钧,5732,19580800,湖北省,0,"山顶上,灌木丛",乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0546341.jpg,,,,,,,,,, +贡山冬青,Ilex hookeri,杨龙,85-1123,19851123,贵州省,,河边,,无花有果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0004054.jpg,,,,,,,,,, +贡山冬青,Ilex hookeri,毛品一,444,19560910,云南省,2800,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00003224.jpg,,,,,,,,,, +错枝冬青,Ilex intricata,谭策铭,易桂花,10128,20100425,云南省,2350,山顶灌丛(石灰岩山地),常绿灌木,无花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00021832.jpg,,,,,,,,,, +,Ilex intricata,G. Forrest,22811,22-Oct,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00046780.jpg,,,,,,,,,, +错枝冬青,Ilex intricata,生物研究所西藏考察队,1722,19730805,西藏自治区,2300,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/38925.jpg,,,,,,,,,, +,Ilex kingiana,"李渤生,程树志",4365,19830428,西藏自治区,1900~2300,常绿阔叶林中常见高大乔木,,有花无果,https://image.cvh.ac.cn/files/l/PE/01986100.jpg,,,,,,,,,, +长尾冬青,Ilex longecaudata,T.T.Yu,16678,19380711,四川省,2700,among forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01322889.jpg,,,,,,,,,, +长尾冬青,Ilex longecaudata,郭永杰,张桥蓉,秦少发,张凤琼,16CS14512,20161120,西藏,2217,公路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437672.jpg,,,,,,,,,, +无毛长尾冬青,Ilex longecaudata,武全安,7525,1959/4/14,云南,1650,,乔木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0272499.jpg,,,,,,,,,, +小果冬青,Ilex micrococca,陈念劬,44097,19321021,海南省 ,1000,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00003667.jpg,,,,,,,,,, +,Ilex micrococca,毛品一,182,19560822,云南省,2200,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00009548.jpg,,,,,,,,,, +,Ilex micrococca,李国凤,64666,19571018,重庆市,890,沟边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01323735.jpg,,,,,,,,,, +,Ilex nothofagifolia,"刘成,张挺,张书东",13CS6535,20130531,西藏自治区,2660,云杉针叶林林缘路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1328999.jpg,,,,,,,,,, +小圆叶冬青,Ilex nothofagifolia,王启无,67405,19351000,云南省,3000,under forest on mt.slope,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0547415.jpg,,,,,,,,,, +小圆叶冬青,Ilex nothofagifolia,C.W.Wang,67405,19351000,云南省 ,3000,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00424811.jpg,,,,,,,,,, +,Ilex odorata,A. Henry,12597,,,1219,,,,https://image.cvh.ac.cn/files/l/HUH/A00049545.jpg,,,,,,,,,, +,Ilex odorata,Y.Tsiang,4660,19301018,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00426988.jpg,,,,,,,,,, +皱叶冬青,Ilex perryana,魏来、何毅,BNUXZ2016504,20160730,西藏,3200,山坡林下,,,https://image.cvh.ac.cn/files/l/BNU/0028111.jpg,,,,,,,,,, +皱叶冬青,Ilex perryana,白洪兵、李红,533324180426115LY,20180426,云南,3108.1,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009145.jpg,,,,,,,,,, +皱叶冬青,Ilex perryana,青藏队,10021,19820907,西藏自治区,3000,山坡林下,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0547630.jpg,,,,,,,,,, +铁冬青,Ilex rotunda subsp. excelsa,青藏队,74,19810525,云南省,1900~2000,杂木林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01128235.jpg,,,,,,,,,, +铁冬青,Ilex rotunda subsp. excelsa,H.Ohba et al.,40066,19830708,,1850~2050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01317489.jpg,,,,,,,,,, +锡金冬青,Ilex sikkimensis,郭永杰,张桥蓉,秦少发,张凤琼,16CS14521,20161120,西藏,2217,公路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437686.jpg,,,,,,,,,, +,Ilex sikkimensis,"Forrest, George",26058,24-Dec,,,,,,https://image.cvh.ac.cn/files/l/E/E00207109.jpg,,,,,,,,,, +锡金冬青,Ilex sikkimensis,沈文明,NJWLS1406,20130104,云南,2691,原始林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1456129.jpg,,,,,,,,,, +,Ilex szechwanensis,毕节队,901,19590816,贵州省,2000,山坡林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0548818.jpg,,,,,,,,,, +,Ilex szechwanensis,滇东北队,721,19720917,云南省,2060,山顶,阳处,矮生杂木林中,小乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0548775.jpg,,,,,,,,,, +四川冬青,Ilex szechwanensis,安明态,,20100807,贵州,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00075730.jpg,,,,,,,,,, +,Ilex triflora,赖书绅,李启和,杨建国,张少春,79,19750830,江西省,800,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00035179.jpg,,,,,,,,,, +,Ilex triflora,"Albert N.Stewarb,C.Y.Chiao,and H.C.Cheo",756,19311020,贵州,1100,,Shrub,,https://image.cvh.ac.cn/files/l/PEY/PEY0035776.jpg,,,,,,,,,, +,Ilex triflora,陈念劬,左景烈,43846,19320916,海南省 ,2000,沿溪边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0549000.jpg,,,,,,,,,, +,Ilex umbellulata,A. Henry,13486,,,1524,,,,https://image.cvh.ac.cn/files/l/HUH/A00049549.jpg,,,,,,,,,, +伞序冬青,Ilex umbellulata,杨光辉,55427,19570619,四川省,1100,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00009618.jpg,,,,,,,,,, +伞序冬青,Ilex umbellulata,"殷建涛,李剑武",1732,20100818,云南,1200,路边,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030250.jpg,,,,,,,,,, +微脉冬青,Ilex venulosa,李正辉、艾洪莲,AHL5269,20201120,云南,2000,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1550558.jpg,,,,,,,,,, +,Ilex venulosa,"Forrest, George",9800,13-Mar,,,,,,https://image.cvh.ac.cn/files/l/E/E00207140.jpg,,,,,,,,,, +,Ilex venulosa,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11871,20161113,西藏,1641,中山湿性常绿阔叶林林缘路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444964.jpg,,,,,,,,,, +,Ilex yunnanensis,C. W. Wang,67855,Sep-35,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00049557.jpg,,,,,,,,,, +高贵云南冬青,Ilex yunnanensis,张代贵,YH081027696,20081027,贵州铜仁,,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU44696.jpg,,,,,,,,,, +云南冬青,Ilex yunnanensis,黄汉东,鲍大川,857,20140711,湖北,1250,山林中,灌木,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0140125.jpg,,,,,,,,,, +抱茎凤仙花,Impatiens amplexicaulis,PE西藏队,PE6455,20170912,西藏自治区,3449~4414,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/02332279.jpg,,,,,,,,,, +,Impatiens amplexicaulis,杨青松,星耀武,苏涛,ZhouZK-07ZX-0316,20080911,云南,2789,常绿阔叶林林缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1246675.jpg,,,,,,,,,, +抱茎凤仙花,Impatiens amplexicaulis,冯国楣,2025,19390815,云南省,0,by stream in woodedside valley,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0427171.jpg,,,,,,,,,, +锐齿凤仙花,Impatiens arguta,"高信芬,彭玉兰,孙庚",4038,20020927,四川省,1700,林下潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879413.jpg,,,,,,,,,, +锐齿凤仙花,Impatiens arguta,刘正宇、张军等,S-3159,20170912,重庆,1021.54,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0099738.jpg,,,,,,,,,, +锐齿凤仙花,Impatiens arguta,罗毅波,516,20010503,贵州省,700,石灰岩草丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878407.jpg,,,,,,,,,, +,Impatiens ashihoi,,,,,,,,,,,,,,,,,,, +缅甸凤化花,Impatiens aureliana,周仕顺,1974,20040704,云南省,750,龙山 水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879187.jpg,,,,,,,,,, +,Impatiens balsamina,周忠泽,161,20020719,安徽省,1010,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879023.jpg,,,,,,,,,, +凤仙花,Impatiens balsamina,Y.T.chang,,19320621,北京,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00020383.jpg,,,,,,,,,, +凤仙花,Impatiens balsamina,,893,19790715,四川,750,栽培,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM710400002.jpg,,,,,,,,,, +,Impatiens benthamii,,,,,,,,,,,,,,,,,,, +,Impatiens bicornuta,M.Wakabayashi et al.,9715317,19970903,,2490,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920801.jpg,,,,,,,,,, +,Impatiens bicornuta,陈家瑞,92255,19920917,西藏自治区,2500,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878939.jpg,,,,,,,,,, +双角凤仙花,Impatiens bicornuta,张书东,何华杰,81178,20080916,西藏,2720,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1437155.jpg,,,,,,,,,, +,Impatiens bomiensis,,,,,,,,,,,,,,,,,,, +短距凤仙花,Impatiens brachycentra,林有润,s.n.,19800900,甘肃省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0183797.jpg,,,,,,,,,, +短距凤仙花,Impatiens brachycentra,林有润,74-190,19740714,新疆维吾尔自治区 ,1500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0183799.jpg,,,,,,,,,, +短距凤仙花,Impatiens brachycentra,关克俭,1253,19570708,新疆维吾尔自治区,,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079911.jpg,,,,,,,,,, +,Impatiens bracteata,张晓纬,田新民,罗建,LiuJQ-09XZ-lzt-105,20090911,西藏,2984,高原河谷,匍匐草木,,https://image.cvh.ac.cn/files/l/KUN/1246726.jpg,,,,,,,,,, +睫苞凤仙花,Impatiens bracteata,青藏队补点组,751650,19750826,西藏自治区,2700,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0427534.jpg,,,,,,,,,, +,Impatiens bracteolata,,,,,,,,,,,,,,,,,,, +,Impatiens cathcartii,,,,,,,,,,,,,,,,,,, +高黎贡凤仙花,Impatiens chimiliensis,X.H.Jin et al.,DLJ-ET 3344,20080720,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878266.jpg,,,,,,,,,, +高黎贡凤仙花,Impatiens chimiliensis,K. M. Feng ,8284,19401009,,,岩坡草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00061020.jpg,,,,,,,,,, +高黎贡凤仙花,Impatiens chimiliensis,T. T. Yu,20335,19380916,云南省,3200,Margin of thickets,,有花有果,https://image.cvh.ac.cn/files/l/PE/00061017.jpg,,,,,,,,,, +华凤仙,Impatiens chinensis,赵万义,许可旺,刘忠成,叶矾,王晓阳,LXP-13-13095,20150610,江西省赣州市,,山谷、壤土、路旁、村边,陆生、草本、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00177057.jpg,,,,,,,,,, +华凤仙,Impatiens chinensis,"陆露, 张明英, 王银环, 杨涛",WH-2012-0813,20120815,广西,241,路边林下坡上,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1449048.jpg,,,,,,,,,, +华凤仙,Impatiens chinensis,赵万义,张记军,刘忠成,潘嘉文,吴荣恩,丁巧玲,张信坚,LXP-13-19657,20160627,江西省吉安市,230,山坡、壤土、疏林,陆生、草本、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00183066.jpg,,,,,,,,,, +棒凤仙花,Impatiens clavigera,环江县普查队,451226141005013LY,20141005,广西,465,阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0112472.jpg,,,,,,,,,, +,Impatiens clavigera,刘恩德、方伟、朱鑫鑫、孙增朋等,LiuED6782,20161209,云南,,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1510983.jpg,,,,,,,,,, +,Impatiens cristata,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1225,20130814,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992381.jpg,,,,,,,,,, +,Impatiens cristata,罗建,汪书丽,LiuJQ-11XZ-189,20110921,西藏,2800,针阔林林缘坡地,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1246733.jpg,,,,,,,,,, +舟状凤仙花,Impatiens cymbifera,"姜恕,赵从福",204,19670928,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01535598.jpg,,,,,,,,,, +,Impatiens cymbifera,扎西次仁,ZhongY084,20080728,西藏,2800,山坡阴湿林下,,,https://image.cvh.ac.cn/files/l/KUN/1246741.jpg,,,,,,,,,, +牯岭凤仙花,Impatiens davidii,邱莲卿,陆瑞琳,1721,19631012,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00112383.jpg,,,,,,,,,, +牯岭凤仙花,Impatiens davidii,龙茹,90906013,20090806,湖北,1400,林下,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00089471.jpg,,,,,,,,,, +牯岭凤仙,Impatiens davidii,谭策铭和江西省师大实习学生,7651,20070828,江西省,1100,路旁草丛,,无花无果,https://image.cvh.ac.cn/files/l/JJF/JJF00015095.jpg,,,,,,,,,, +,Impatiens discolor,,,,,,,,,,,,,,,,,,, +镰萼凤仙花,Impatiens drepanophora,于胜祥等,5660,20110818,西藏自治区,,沿途路旁山沟,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878976.jpg,,,,,,,,,, +镰萼凤仙花,Impatiens drepanophora,谭沛祥,2634,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0184113.jpg,,,,,,,,,, +凤仙花属,Impatiens drepanophora,倪志诚 汪永泽 次多 次旦,1427,19800906,西藏,4000,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0004436.jpg,,,,,,,,,, +,Impatiens falcifer,"姜恕,赵从福",238,19690929,西藏自治区,2300,Quercus林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00061934.jpg,,,,,,,,,, +镰瓣凤仙花,Impatiens falcifer,"张挺, 刘成, 亚吉东",18CS17599,20180912,西藏,3290,灌丛林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484228.jpg,,,,,,,,,, +,Impatiens gammiei,,,,,,,,,,,,,,,,,,, +哈氏凤仙花,Impatiens harae,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201130,20200722,西藏,2206,河边草丛里,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506947.jpg,,,,,,,,,, +,Impatiens jurpia,H.Kanai etc.,721576,19720908,,2000~2100,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0428125.jpg,,,,,,,,,, +,Impatiens khasiana,,,,,,,,,,,,,,,,,,, +,Impatiens laevigata,,,,,,,,,,,,,,,,,,, +,Impatiens latiflora,,,,,,,,,,,,,,,,,,, +,Impatiens laxiflora,D.E.Boufford et al.,38732,20070802,四川省,2230~2500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01925151.jpg,,,,,,,,,, +,Impatiens laxiflora,PE西藏队,PE5636,20170902,西藏自治区,4556,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332347.jpg,,,,,,,,,, +疏花凤仙花,Impatiens laxiflora,余岩、李娟,2023834,20190816,四川,4239,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02023834.jpg,,,,,,,,,, +林芝凤仙花,Impatiens linghziensis,生物研究所西藏考察队,417,19730611,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/37319.jpg,,,,,,,,,, +长梗凤仙花,Impatiens longipes,青藏队,74-2720,19740920,西藏自治区,4100,山谷草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00062394.jpg,,,,,,,,,, +矮小无距凤仙花,Impatiens margaritifera var. humilis,T.T.Yu,12841,19370822,四川省,3600,side of mt.stream,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00039574.jpg,,,,,,,,,, +,Impatiens margaritifera var. humilis,吴征镒,5536,19760905,西藏自治区,0,溪边或高原灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0428276.jpg,,,,,,,,,, +,Impatiens margaritifera var. humilis,T. T. Yu,12841,,,1128~1219,,,,https://image.cvh.ac.cn/files/l/HUH/A00230517.jpg,,,,,,,,,, +,Impatiens margaritifera var. purpurascens,,,,,,,,,,,,,,,,,,, +齿道凤仙花,Impatiens martinii,朱和廷,14294,19601030,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00078855.jpg,,,,,,,,,, +齿道凤仙花,Impatiens martinii,"戴伦鹰,钱重海",1273,19510919,湖北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00078840.jpg,,,,,,,,,, +齿道凤仙花,Impatiens martinii,T.T.Yu.,2392,19390722,陕西省,2800,slop grassy Place.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00078872.jpg,,,,,,,,,, +,Impatiens medongensis,,,,,,,,,,,,,,,,,,, +,Impatiens meruensis,,,,,,,,,,,,,,,,,,, +南迦巴瓦凤仙花,Impatiens namchabarwensis,"郭永杰, 王雨华, 杨立新, 李姗",18CS16886,20180509,西藏,1169,村边间歇玉米地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483962.jpg,,,,,,,,,, +水金凤,Impatiens noli-tangere,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1437-3048,20190809,甘肃,2255,山坡林地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1474523.jpg,,,,,,,,,, +水金凤,Impatiens noli-tangere,侯学良,11062312,20110623,江西,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU070887.jpg,,,,,,,,,, +水金凤,Impatiens noli-tangere,毕国昌,963,19600714,安徽,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00024413.jpg,,,,,,,,,, +,Impatiens occultans,,,,,,,,,,,,,,,,,,, +,Impatiens paludosa,,,,,,,,,,,,,,,,,,, +,Impatiens pasighatensis,,,,,,,,,,,,,,,,,,, +,Impatiens pathakiana,,,,,,,,,,,,,,,,,,, +,Impatiens porrecta,,,,,,,,,,,,,,,,,,, +,Impatiens pseudocitrina,,,,,,,,,,,,,,,,,,, +,Impatiens pseudolaevigata,,,,,,,,,,,,,,,,,,, +,Impatiens pseudolongipes,,,,,,,,,,,,,,,,,,, +,Impatiens puberula,刘成,字海荣,高歌,赵金超,13CS6604,20130831,云南,1586,次生林林中,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321448.jpg,,,,,,,,,, +,Impatiens puberula,云南考察队金效华等,YN-ET 1047,20090708,云南省,1400,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878242.jpg,,,,,,,,,, +,Impatiens puberula,M.Wakabayashi et al.,9715298,19970831,,2600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01921512.jpg,,,,,,,,,, +,Impatiens pulchra,,,,,,,,,,,,,,,,,,, +,Impatiens purpurea,字建宇,杨六斤,李国庆,李施文,张志云,TC1046,20110915,云南,2585,路边草地,直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1246787.jpg,,,,,,,,,, +紫花凤仙花,Impatiens purpurea,,775,19750722,云南省,3600,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879103.jpg,,,,,,,,,, +紫花凤仙花,Impatiens purpurea,王启勇,522628141127389LY,20141127,贵州省,413.3,湿生、耐阴性、沙土、中温,一年生草本植物,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0050799.jpg,,,,,,,,,, +,Impatiens racemosa,"B.Bartholomew,D.E.Boufford & Z.L.Dao",8725,20010906,,675,disturbed broadleaved evergreen forest with tall bamboo in seepage at edge of trail at forest margin,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040861.jpg,,,,,,,,,, +,Impatiens racemosa,武素功,7341,,云南省 ,3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0428565.jpg,,,,,,,,,, +,Impatiens racemosa,PE西藏队,PE6169,20170910,西藏自治区,2488~2994,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02333341.jpg,,,,,,,,,, +,Impatiens racemosa var. ecalcarata,,906,19750809,西藏自治区,3780,水边沙滩地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878328.jpg,,,,,,,,,, +辐射凤仙花,Impatiens radiata,,264,19780616,四川,,阴湿林边、小河旁,,无花有果,https://image.cvh.ac.cn/files/l/SM/SM710400263.jpg,,,,,,,,,, +辐射凤仙花,Impatiens radiata,泛喜马拉雅植物志巴基斯坦采集队,1827,20120916,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005823.jpg,,,,,,,,,, +辐射凤仙花,Impatiens radiata,青藏队,13545,19830830,四川省,2700,山沟Tsuga林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00078301.jpg,,,,,,,,,, +,Impatiens rectangula,"Handel-Mazzetti, Heinrich",9836,17-Aug-16,,,,,,https://image.cvh.ac.cn/files/l/E/E00120167.jpg,,,,,,,,,, +直角凤仙花,Impatiens rectangula,,96112,19620718,四川,2020,草丛中向阳处,,有花有果,https://image.cvh.ac.cn/files/l/SM/SM710400261.jpg,,,,,,,,,, +,Impatiens rectangula,青藏队,3971,19740803,西藏自治区,2300,山坡阔叶混淆林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0428696.jpg,,,,,,,,,, +,Impatiens rugosipetala,,,,,,,,,,,,,,,,,,, +糙毛凤仙花,Impatiens scabrida,"刘成, 张挺, 亚吉东",18CS17454,20180911,西藏,2727,农舍旁,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484311.jpg,,,,,,,,,, +糙毛凤仙花,Impatiens scabrida,邹垣,761,19510823,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0184560.jpg,,,,,,,,,, +,Impatiens scabrida,PE西藏队,PE6227,20170910,西藏自治区,2488~2994,山坡林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02333346.jpg,,,,,,,,,, +,Impatiens serrata,PE西藏队,PE6381,20170911,西藏自治区,3120,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332762.jpg,,,,,,,,,, +,Impatiens serrata,张晓纬,田新民,罗建,LiuJQ-09XZ-lzt-106,20090911,西藏,2984,高原河谷,,,https://image.cvh.ac.cn/files/l/KUN/1246817.jpg,,,,,,,,,, +,Impatiens shiyomiensis,,,,,,,,,,,,,,,,,,, +,Impatiens siangensis,,,,,,,,,,,,,,,,,,, +紫花黄金凤,Impatiens siculifer,张代贵、王业清、朱晓琴,2140,20170818,湖北宜昌,1330,路边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/HHE17489.jpg,,,,,,,,,, +黄金凤,Impatiens siculifer,武陵山考察队,1056,19880616,贵州省,700,沟谷密林中,阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01878893.jpg,,,,,,,,,, +黄金凤,Impatiens siculifer,"张志耘,李良千等",2014-041,20140517,江西省,1150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02014896.jpg,,,,,,,,,, +,Impatiens stenentha,,,,,,,,,,,,,,,,,,, +槽茎凤仙花,Impatiens sulcata,T.T.Yu,19697,19380806,云南省,3300,Mt.slopeopen & Grassy place,,有花有果,https://image.cvh.ac.cn/files/l/PE/00089354.jpg,,,,,,,,,, +槽茎凤仙花,Impatiens sulcata,"张挺, 刘成, 亚吉东",18CS17657,20180914,西藏,2883,乔松林缘栈道旁,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486556.jpg,,,,,,,,,, +槽茎凤仙花,Impatiens sulcata,PE西藏队,PE5820,20170903,西藏自治区,3401,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02332862.jpg,,,,,,,,,, +,Impatiens tajoensis,,,,,,,,,,,,,,,,,,, +藏西凤仙花,Impatiens thomsonii,陈家瑞,92269,19920918,西藏自治区,2400,Moist,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878936.jpg,,,,,,,,,, +藏西凤仙花,Impatiens thomsonii,T.N.Liou,6042,19321122,,7230,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00089451.jpg,,,,,,,,,, +藏西凤仙花,Impatiens thomsonii,,A-P-024,86.08.18,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00019721.jpg,,,,,,,,,, +,Impatiens tirbinensis,,,,,,,,,,,,,,,,,,, +,Impatiens tripetala,G.Sengupta,1667,19650823,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0184764.jpg,,,,,,,,,, +,Impatiens tuberculata,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-1056,20130813,西藏自治区,3900,山坡混交林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01992402.jpg,,,,,,,,,, +瘤果凤仙花,Impatiens tuberculata,张林、李星月、张晓严,4-373,20180618,西藏,2786,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023778.jpg,,,,,,,,,, +,Impatiens uncipetala,,,,,,,,,,,,,,,,,,, +,Impatiens unguiculata,,,,,,,,,,,,,,,,,,, +,Impatiens urticifolia,PE西藏考察队,7899,20180626,西藏自治区,3081~3206,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331661.jpg,,,,,,,,,, +,Impatiens urticifolia,,2756,19740923,,,林缘路旁,,有花有果,https://image.cvh.ac.cn/files/l/PE/01878319.jpg,,,,,,,,,, +,Impatiens urticifolia,扎西次仁,ZhongY044,20080728,西藏,3270,山坡林下或高山栎或冷杉林下,一年生草本,,https://image.cvh.ac.cn/files/l/KUN/1246857.jpg,,,,,,,,,, +长梗两头毛,Incarvillea arguta,刘照光,1082,1972-7 1,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0129776.jpg,,,,,,,,,, +长梗两头毛,Incarvillea arguta,严岳鸿、齐新萍,YYH12709,20130828,云南省,2104,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0086947.jpg,,,,,,,,,, +,Incarvillea arguta,李梦茹,1583,20180615,河南,73,公园,,无花有果,https://image.cvh.ac.cn/files/l/HENU/HENU1901583.jpg,,,,,,,,,, +,Incarvillea himalayensis,,,,,,,,,,,,,,,,,,, +角嵩,Incarvillea sinensis,J.Kozlov,,19270722,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00030408.jpg,,,,,,,,,, +角嵩,Incarvillea sinensis,赵福,308,19530623,北京市,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00030454.jpg,,,,,,,,,, +角蒿,Incarvillea sinensis,王丽红,20190801027,20190801,黑龙江,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0002471.jpg,,,,,,,,,, +,Incarvillea uniflora,,,,,,,,,,,,,,,,,,, +,Incarvillea zhongdianensis,AGS Expedition to China (1994),64,10-Jun-94,,,,,,https://image.cvh.ac.cn/files/l/E/E00040609.jpg,,,,,,,,,, +中甸角蒿,Incarvillea zhongdianensis,方震东、和光、刘琳、郑群英、李红、史效武、陈洁、赵卫东,K-337,20020627,云南省,4000,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006779.jpg,,,,,,,,,, +,Incarvillea zhongdianensis,王金亭,3766,19610816,西藏自治区,4490,盐化沼泽草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/02115745.jpg,,,,,,,,,, +,Indocypraea montana,,,,,,,,,,,,,,,,,,, +土木香,Inula helenium,Anonymous,2570,19590719,浙江省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ047380.jpg,,,,,,,,,, +土木香,Inula helenium,马关县普查队,5326250680,20150526,云南省,1508.9,阔叶林,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0035294.jpg,,,,,,,,,, +土木香,Inula helenium,,,19780620,山西省,,,,无花有果,https://image.cvh.ac.cn/files/l/SSMM/0004325.jpg,,,,,,,,,, +水朝阳旋覆花,Inula helianthus-aquatilis,鞠文彬,张良,陈德奎,AZH01326,20160617,四川,3581,山顶草地,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0235443.jpg,,,,,,,,,, +水朝阳旋覆花,Inula helianthus-aquatilis,第四组,141,20020707,贵州省,1000,草丛,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0013986.jpg,,,,,,,,,, +水朝阳花,Inula helianthus-aquatilis,1635,1273,19570827,湖北省,1850,山坡草地,草本,有花有果,https://image.cvh.ac.cn/files/l/LBG/00118059.jpg,,,,,,,,,, +,Inula hookeri,高信芬、涂卫国、何海、乔永康,7751,20030922,西藏自治区,2900,灌丛林下,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190604.jpg,,,,,,,,,, +锈毛旋覆花,Inula hookeri,路端正,,20020900,西藏,2800,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005971.jpg,,,,,,,,,, +锈毛旋覆花,Inula hookeri,K.M.Feng,6927,19400825,云南省,3000,沟边灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00571814.jpg,,,,,,,,,, +旋覆花,Inula japonica,白龙,B247,,辽宁,206,丘陵,,有花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF012786.jpg,,,,,,,,,, +旋覆花,Inula japonica,临桂普查队,450322150912032LY,20150912,广西壮族自治区,160,草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0121892.jpg,,,,,,,,,, +旋覆花,Inula japonica,牙次南队,192,19860817,内蒙古,1711,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825565.jpg,,,,,,,,,, +,Inula kalapani,,,,,,,,,,,,,,,,,,, +钝叶旋覆花,Inula obtusifolia,M.V.Visanathan,54758,19750820,,0~4500,,bushy herbs.,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0603555.jpg,,,,,,,,,, +总状土木香,Inula racemosa,刘国钧,,1975.7.1,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00044763.jpg,,,,,,,,,, +总状土木香,Inula racemosa,张振万等,4082,1974/8/10,新疆维吾尔族自治区,1200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0297853.jpg,,,,,,,,,, +总状土木香,Inula racemosa,,4189,1973-7 4,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0143815.jpg,,,,,,,,,, +羊眼花,Inula rhizocephala,杨赵平,Li2J1319,20100811,新疆,3041米,山间草地,草本,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU01284.jpg,,,,,,,,,, +羊眼花,Inula rhizocephala,,伊140,19710814,新疆维吾尔自治区,,阴坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00596431.jpg,,,,,,,,,, +羊眼花,Inula rhizocephala,托孜,780970,1978.8.1,新疆维吾尔自治区 ,1700,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00044782.jpg,,,,,,,,,, +蓼子朴,Inula salsoloides,张韻冰,7968,19790608,吉林省,,,,有花无果,https://image.cvh.ac.cn/files/l/NEFI/108018001001001.jpg,,,,,,,,,, +蓼子朴,Inula salsoloides,,1026,,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/280160786.jpg,,,,,,,,,, +蓼子朴,Inula salsoloides,Licent,4009,19180625,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00054916.jpg,,,,,,,,,, +绢叶旋覆花,Inula sericophylla,甘南草原调查队,269,19640705,甘肃,2700,山地丘陵,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093349.jpg,,,,,,,,,, +,Inula sericophylla,彭玉兰、余奇、李林霖,THP-KD-1401,20170617,四川省,3768~4150,新兴村矿场,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252916.jpg,,,,,,,,,, +绢叶旋覆花,Inula sericophylla,C.W.Wang,63501,19350529,云南省 ,2540,flat slope,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00492579.jpg,,,,,,,,,, +微花藤,Iodes cirrhosa,马关县普查队,5326250401,20150516,云南省,616.2,阔叶林,藤本植物,无花有果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0034526.jpg,,,,,,,,,, +微花藤,Iodes cirrhosa,侯宽昭,72288,19350000,海南省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00172629.jpg,,,,,,,,,, +微花藤,Iodes cirrhosa,中苏联合云南考察队,3072,19560000,云南省 ,0,,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0560800.jpg,,,,,,,,,, +月光花,Ipomoea alba,天峨调查队,4-6-222,19771102,广西壮族自治区,,,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI039567.jpg,,,,,,,,,, +月光花,Ipomoea alba,张代贵,820051,20060820,广东省,,海滩,藤本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU16801.jpg,,,,,,,,,, +,Ipomoea alba,W.Nanakorn etc.,2427,19941028,,1200,scattered in hill evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1225310.jpg,,,,,,,,,, +蕹菜,Ipomoea aquatica,王启无,79883,19361000,云南省 ,800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0553124.jpg,,,,,,,,,, +蕹菜,Ipomoea aquatica,侯志勇,边华林,邓嘉俊,XIE-Y-H-016,20171108,湖南,25,湖滨湿地,,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0020633.jpg,,,,,,,,,, +蓶菜,Ipomoea aquatica,王玉雷,548,19770420,海南省,,菜地种植,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00027049.jpg,,,,,,,,,, +番薯,Ipomoea batatas,陈彦生、吴振海、黎斌、郭晓思等,3785,2005/9/20,陕西省,400,,缠绕草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0499412.jpg,,,,,,,,,, +番薯,Ipomoea batatas,侯宽昭,70439,19330326,海南,135,,蔓生植物,有花无果,https://image.cvh.ac.cn/files/l/SN/SN004341.jpg,,,,,,,,,, +番薯,Ipomoea batatas,傅坤俊,19227,1982/10/21,山西省,540,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0431744.jpg,,,,,,,,,, +毛牵牛,Ipomoea biflora,"李宏庆, 陈纪云, 王双等",LiHQ0309,20091028,福建,,农田边小路,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1382393.jpg,,,,,,,,,, +毛牵牛,Ipomoea biflora,张寿洲、陈珍传、王国栋、闫斌等人,4386,20051010,广东省,0~50,海边,草质藤本,,https://image.cvh.ac.cn/files/l/SZG/SZG00048684.jpg,,,,,,,,,, +心萼薯,Ipomoea biflora,右江区普查队,451002131001008LY,20131001,广西壮族自治区,408,阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0160684.jpg,,,,,,,,,, +七爪龙,Ipomoea mauritiana,瓦 西里叶夫,,1959/10/22,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0134284.jpg,,,,,,,,,, +七爪龙,Ipomoea mauritiana,陆文光,20676,19610614,广西壮族自治区,,,藤本,有花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI039597.jpg,,,,,,,,,, +七爪龙,Ipomoea mauritiana,韦春强、李象钦,RQXN07718,20150918,广西省,190.8898,路边,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0125708.jpg,,,,,,,,,, +牵牛,Ipomoea nil,刘正宇、张军等,RQHZ05971,20151009,四川省,279,河边,藤本,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0133996.jpg,,,,,,,,,, +牵牛,Ipomoea nil,郭惠珠,严春发,谢德禄,874,20081014,福建,43~201.3,石壁上,藤本,有花有果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0009551.jpg,,,,,,,,,, +裂叶牵牛,Ipomoea nil,湛蓉,415004,20040415,湖南省,,路边,革质藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU16837.jpg,,,,,,,,,, +圆叶牵牛,Ipomoea purpurea,朱鑫鑫;王君;王美华,ZXX201806,20200816,西藏,3612,湿地里,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508120.jpg,,,,,,,,,, +圆叶牵牛,Ipomoea purpurea,张勇,RQSB02644,20150716,青海省,2243,花园,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0134927.jpg,,,,,,,,,, +圆叶牵牛,Ipomoea purpurea,李惠茹、王樟华、严靖、闫小玲,RQHD02602,20150701,江苏省,86,废弃绿地,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0129675.jpg,,,,,,,,,, +,Isatis gymnocarpa,"刘媖心,杨喜林",79084,19790509,新疆维吾尔自治区,,山前平原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995820.jpg,,,,,,,,,, +,Isatis gymnocarpa,青藏队,76-8170,19760704,西藏自治区,3600,山坡湿润草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01122468.jpg,,,,,,,,,, +,Isodon atroruber,胡国雄,张宪春,付志玺,1209005,20120903,西藏自治区,2850,Edge of forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252468.jpg,,,,,,,,,, +橙黄香茶菜,Isodon aurantiacus,"向春雷,陈亚萍,赵飞,陈德秀",1488,20160916,西藏自治区,3138,On the valley slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/02110179.jpg,,,,,,,,,, +细锥香茶菜,Isodon coetsa,F.T.Wang,21830,19300726,四川省,2400,slope,herb,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0009801.jpg,,,,,,,,,, +多毛细锥香茶菜,Isodon coetsa,魏升华,,20030708,贵州,1020,路边,亚灌木,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0072651.jpg,,,,,,,,,, +,Isodon coetsa,胡国雄,陈又生,符龙飞,何春梅,1209084,20120919,西藏自治区,,Edge of forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1253409.jpg,,,,,,,,,, +德钦大叶香茶菜,Isodon grandifolius var. atuntzeensis,,,20110818,西藏自治区,3250,路边,,,https://image.cvh.ac.cn/files/l/KUN/1279098.jpg,,,,,,,,,, +,Isodon grandifolius var. atuntzeensis,"方伟,向春雷,胡国雄",FW11261,20110816,四川省,3215,under the forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02091312.jpg,,,,,,,,,, +,Isodon grandifolius var. atuntzeensis,余奇;李蒙;李诗琦,CIBYQ011B004,20180612,四川,2513,杂木林,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0245410.jpg,,,,,,,,,, +刚毛香茶菜,Isodon hispidus,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14436,20161114,西藏,1617,公路下方山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452577.jpg,,,,,,,,,, +刚毛香茶菜,Isodon hispidus,李永亮,马文军,YDDXSB049,20071027,云南,2057,乔灌木林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1388303.jpg,,,,,,,,,, +,Isodon hispidus,W.Nanakorn etc.,2873,19941223,,1400,in hill evergreen forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1225495.jpg,,,,,,,,,, +线纹香茶菜,Isodon lophanthoides,孙键,赵万义,张忠,LXP-13-07012,20131018,江西省吉安市,, , ,,https://image.cvh.ac.cn/files/l/SYS/SYS00177888.jpg,,,,,,,,,, +细花线纹香茶菜,Isodon lophanthoides,"陈亚萍,蒋蕾",EM292,20151116,广东省,0,无,,,https://image.cvh.ac.cn/files/l/KUN/1279009.jpg,,,,,,,,,, +线纹香茶菜,Isodon lophanthoides,傅坤俊,11635,1957/10/5,陕西省,650,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0360923.jpg,,,,,,,,,, +细花线纹香茶菜,Isodon lophanthoides var. graciliflorus,"刘成, 亚吉东, 李昌洪",18CS17164,20181111,西藏,1056,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486632.jpg,,,,,,,,,, +,Isodon lophanthoides var. graciliflorus,侯学良,1216,20161109,福建省,537,路边,草本,有花有果,https://image.cvh.ac.cn/files/l/AU/AU056546.jpg,,,,,,,,,, +细花线纹香茶菜,Isodon lophanthoides var. graciliflorus,"陈亚萍,蒋蕾",EM292,20151116,广东省,0,无,,,https://image.cvh.ac.cn/files/l/KUN/1279009.jpg,,,,,,,,,, +小叶香茶菜,Isodon parvifolius,C.W.Wang,66185,1935/9/7,云南省,3000,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0040717.jpg,,,,,,,,,, +小叶香茶菜,Isodon parvifolius,胡君,熊豫宁,陈庆恒,王东超,HJ05532,20151010,西藏自治区,3200~4000,山路旁,灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00597949.jpg,,,,,,,,,, +小叶香茶菜,Isodon parvifolius,,3,1982-8 5,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0122606.jpg,,,,,,,,,, +,Isodon pulchokiensis,,,,,,,,,,,,,,,,,,, +,Isodon repens,,,,,,,,,,,,,,,,,,, +碎米桠,Isodon rubescens,傅竟秋,812,1958/9/20,河南省,460,,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0114343.jpg,,,,,,,,,, +碎米桠,Isodon rubescens,张代贵、陈功锡、孙林、肖佳伟,LXP-06-6206,20151003,江西吉安,448,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU56415.jpg,,,,,,,,,, +碎米桠,Isodon rubescens,标本室,3636,1956/09/,北京市,,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0342616.jpg,,,,,,,,,, +皱叶香茶菜,Isodon rugosus,"刘成, 张挺, 亚吉东",18CS17466,20180911,西藏,1688,房屋后岩石上,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486224.jpg,,,,,,,,,, +皱叶香茶菜,Isodon rugosus,西藏中草药普查队,4418,19720817,西藏自治区,3100,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/33530.jpg,,,,,,,,,, +,Isodon rugosus,泛喜马拉雅植物志巴基斯坦采集队,FPH-1501,20120913,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004636.jpg,,,,,,,,,, +宽花香茶菜,Isodon scrophularioides,朱鑫鑫;王君;王美华;林庶;许敏;多吉;尼玛顿珠,ZXX201413,20200801,西藏,2600,水流边草丛中,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1508806.jpg,,,,,,,,,, +宽花香茶菜,Isodon scrophularioides,张挺,郭永杰,刘成等,10CS2113,20100727,云南,3062,"Growing near stream edge with Rubus, Juncus and Carex.",,,https://image.cvh.ac.cn/files/l/KUN/1388399.jpg,,,,,,,,,, +宽花香茶菜,Isodon scrophularioides,胡国雄,张宪春,付志玺,1209013,20120904,西藏自治区,2527,under the foreste,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1253424.jpg,,,,,,,,,, +黄花香茶菜,Isodon sculponeatus,尹志坚,陈丽,唐颖等,H-滇大理-Z 3249,20101016,云南,2200,路边,草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1512302.jpg,,,,,,,,,, +黄花香茶菜,Isodon sculponeatus,"杨金祥,胡志新",3499,1973/10/21,甘肃省,670,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0295479.jpg,,,,,,,,,, +黄花香茶菜,Isodon sculponeatus,张挺,亚吉东,杨娅娟,陈凯,16CS13901,20161013,四川,1789,崖壁,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1439464.jpg,,,,,,,,,, +扫帚草,Isodon ternifolius,谢登峰、蔡竞、秦换换,SC-00-005-A-030,20200829,四川,3812.63m,高原灌丛,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02061689.jpg,,,,,,,,,, +牛尾草,Isodon ternifolius,杨平、农时越、农素芸等,BL1274,20201102,广西,~740,石灰岩石山;少见,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00429226.jpg,,,,,,,,,, +牛尾草,Isodon ternifolius,刘景欣,1527,20091216,云南,1500,灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029633.jpg,,,,,,,,,, +长叶香茶菜,Isodon walkeri,刘林翰,9820,19580916,湖南省,0~500,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0588130.jpg,,,,,,,,,, +长叶香茶菜,Isodon walkeri,黄志,37751,19341111,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00059529.jpg,,,,,,,,,, +,Isodon walkeri,刘恩德,方伟,上官法智,徐洲锋,4547,20150816,云南省 ,2259,in thickets,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1263485.jpg,,,,,,,,,, +叉序草,Isoglossa collina,曾宪锋,ZXF9893,2010/9/17,广东省,370,山谷,,有花,https://image.cvh.ac.cn/files/l/CZH/CZH0005614.jpg,,,,,,,,,, +叉序草,Isoglossa collina,赵万义、叶矾、张信坚,LXP-13-25360,20171218,湖南,561,山谷、腐殖土、灌丛, 陆生、草本、直立 ,无花有果,https://image.cvh.ac.cn/files/l/SYS/SYS00203038.jpg,,,,,,,,,, +叉序草,Isoglossa collina,周建军、周大松,14092612,20140926,湖南省,1100,,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI028471.jpg,,,,,,,,,, +细叶小苦荬,Ixeridium gracile,杨帆,马红媛,安丰华,SNA0900,20190920,黑龙江,152,,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1500928.jpg,,,,,,,,,, +细叶小苦荬,Ixeridium gracile,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201184,20200723,西藏,2166,河边石上,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1506994.jpg,,,,,,,,,, +细叶小苦荬,Ixeridium gracile,张代贵,zdg4507,20110723,湖北省,1629.55,路边荒地,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU05151.jpg,,,,,,,,,, +多色苦荬,Ixeris chinensis,王文采,李振宇,9,19790514,北京市,,坡地,草本,,https://image.cvh.ac.cn/files/l/IBK/IBK00353704.jpg,,,,,,,,,, +多色苦荬,Ixeris chinensis,北师大资源学院2012级,HL012,20150526,河北省,,山坡,,,https://image.cvh.ac.cn/files/l/BNU/0018067.jpg,,,,,,,,,, +丝叶山苦荬,Ixeris chinensis,李裕久,路端正,,19870800,宁夏,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00006023.jpg,,,,,,,,,, +中华苦荬菜,Ixeris chinensis subsp. chinensis,谢登峰、蔡竞、秦换换,CJ-009-A-045,20200921,四川,2602.87m,山坡草场,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02061231.jpg,,,,,,,,,, +多色苦荬菜,Ixeris chinensis subsp. versicolor,张林、李星月、张晓严,1月1日,20180608,西藏,3949,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023843.jpg,,,,,,,,,, +山苦荬,Ixeris chinensis subsp. versicolor,宁夏中草药组,3-0054,1972/5/30,宁夏回族自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0293329.jpg,,,,,,,,,, +多色苦荬,Ixeris chinensis subsp. versicolor,陈功锡,张代贵等,LXP-064572,20150422,江西省,1333,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU02731.jpg,,,,,,,,,, +苦荬菜,Ixeris polycephala,段仲锋,244,19840708,甘肃,,山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/QYTC/QYTC0002585.jpg,,,,,,,,,, +多头苦荬,Ixeris polycephala,侯元同,郭成勇,20150620056-2,20150620,重庆市,438.2,稻田边,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0026291.jpg,,,,,,,,,, +苦荬菜,Ixeris polycephala,杨娜布琪 赵金良,150525180628038LY,20180628,内蒙古,351,草甸,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IATM/IATM0002899.jpg,,,,,,,,,, +囊果龙船花,Ixora subsessilis,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11903,20161114,西藏,1488,山地常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445600.jpg,,,,,,,,,, +,Ixora subsessilis,高信芬、涂卫国、何海、乔永康,7777,20030923,西藏自治区,1300,阔叶林下,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190620.jpg,,,,,,,,,, +,Ixora undulata,Kit Yock CHAN,1136,19730725,香港,,under shade,,有花有果,https://image.cvh.ac.cn/files/l/PE/00737438.jpg,,,,,,,,,, +波叶山丹,Ixora undulata,J.O.Voigt,,18340000,,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00249843.jpg,,,,,,,,,, +波叶山丹,Ixora undulata,邢福武,6578,19950504,海南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0443328.jpg,,,,,,,,,, +琥珀千里光,Jacobaea ambracea,王丽华、孙勋,BNU2021SX022,20210830,山西,1369,水边湿地,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0053656.jpg,,,,,,,,,, +,Jacobaea analoga,,,,,,,,,,,,,,,,,,, +,Jacobaea echaeta,,,,,,,,,,,,,,,,,,, +,Jacobaea nudicaulis,"Cavalerie, Pierre Julien",3705,1908,,,,,,https://image.cvh.ac.cn/files/l/E/E00433971.jpg,,,,,,,,,, +,Jacobaea raphanifolia,,,,,,,,,,,,,,,,,,, +,Jacobaea tibetica,,,,,,,,,,,,,,,,,,, +宽萼口药花,Jaeschkea canaliculata,青藏队,7138,19750731,西藏自治区,4400,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/50494.jpg,,,,,,,,,, +小籽口药花,Jaeschkea microsperma,王为义,165a,19790813,青海省,4200,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/156053.jpg,,,,,,,,,, +小籽口药花,Jaeschkea microsperma,青藏队,74-2673,19740918,西藏自治区,4300,山坡草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01399698.jpg,,,,,,,,,, +小籽口药花,Jaeschkea microsperma,侯元同,郭成勇,2013683-3,20130813,青海,3380,山坡灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0049576.jpg,,,,,,,,,, +,Jasminum adenophyllum,,,,,,,,,,,,,,,,,,, +亚速尔素馨?,Jasminum azoricum,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00065710.jpg,,,,,,,,,, +,Jasminum caudatum,,,,,,,,,,,,,,,,,,, +双子素馨,Jasminum dispermum,龙陵县普查队,530523150817473LY,20150817,云南省,2187.1,阔叶林,藤本植物,无花有果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0028980.jpg,,,,,,,,,, +双子素馨,Jasminum dispermum,C.W.Wang,72462,19360300,云南省 ,2600,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00106257.jpg,,,,,,,,,, +双子素馨,Jasminum dispermum,党成忠,888,19880925,贵州省,1600,山谷林中,,无花有果,https://image.cvh.ac.cn/files/l/HGAS/HGAS0072528.jpg,,,,,,,,,, +扭肚藤,Jasminum elongatum,唐国旺,李紫默,谢智,TangGW1282,20210403,广东,117,热带季风阔叶林小路边,藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1556914.jpg,,,,,,,,,, +扭肚藤,Jasminum elongatum,,129,,江西,,,,有花无果,https://image.cvh.ac.cn/files/l/JXU/JXU0017484.jpg,,,,,,,,,, +扭肚藤,Jasminum elongatum,张代贵,DXY195,20110523,广东湛江,,灌木丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU28611.jpg扭扭肚藤,Jasminum elongatum,张代贵,0813028+1,20060813,广东省,,疏林,藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU17418.jpg +素馨花,Jasminum grandiflorum,方震东、李磊、谢爱芳、海仙,LDHF-333,20090822,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 000652.jpg,,,,,,,,,, +,Jasminum grandiflorum,叶国栋,1453,19800711,福建省,,栽培,藤本,有花有果,https://image.cvh.ac.cn/files/l/FJSI/FJSI021367.jpg,,,,,,,,,, +素馨花,Jasminum grandiflorum,刘全儒,,20080524,北京市,,园林,草本,,https://image.cvh.ac.cn/files/l/BNU/0023014.jpg,,,,,,,,,, +清香藤,Jasminum lanceolaria,田旗、葛斌杰、王正伟,TQ02380,20121027,浙江省,199,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/0020028.jpg,,,,,,,,,, +清香藤,Jasminum lanceolaria,灌阳县普查队,450327150807011LY,20150807,广西壮族自治区,680,阔叶林、沟边、林下,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0173456.jpg,,,,,,,,,, +清香藤,Jasminum lanceolaria,李健玲、陈海玲,GPS190823017,20190823,广西,~,山地,山谷,疏林,黄壤;普遍,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00434013.jpg,,,,,,,,,, +桂叶素馨,Jasminum laurifolium,王金英,邱竹君,刘颖艺,WJY0152,20180821,福建,43~201.3,栽植,灌木,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0002228.jpg,,,,,,,,,, +桂叶素馨,Jasminum laurifolium,,343,19540514,广东,,,攀缘,藤本,无花无果,https://image.cvh.ac.cn/files/l/JXU/JXU0017490.jpg,,,,,,,,,, +桂叶素馨,Jasminum laurifolium,P.T.Tsang,10141,,广东省,,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0025686.jpg,,,,,,,,,, +,Jasminum listeri,,,,,,,,,,,,,,,,,,, +毛茉莉,Jasminum multiflorum,叶国栋,175,19770301,福建省,50,栽培,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/001573.jpg,,,,,,,,,, +毛茉莉,Jasminum multiflorum,翁若芬,王全秀,12662,19881226,广东省,,栽培,乔木林下,,无花无果,https://image.cvh.ac.cn/files/l/SHM/SHM0000710.jpg,,,,,,,,,, +毛茉莉,Jasminum multiflorum,赵厚涛,WD2014169,20140527,贵州,,野生,灌木,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0000335.jpg,,,,,,,,,, +,Jasminum nepalense,,,,,,,,,,,,,,,,,,, +青藤仔,Jasminum nervosum,黄志,34997,19340521,广东,,Road side,藤本,有花无果,https://image.cvh.ac.cn/files/l/SN/SN005510.jpg,,,,,,,,,, +毛青藤仔,Jasminum nervosum,邓良,2171,19560813,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/033932.jpg,,,,,,,,,, +青藤仔,Jasminum nervosum,Anonymous,579,19650521,浙江省,,,木本,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ049645.jpg,,,,,,,,,, +迎春花,Jasminum nudiflorum,童玉君,99-116,19991106,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0004825.jpg,,,,,,,,,, +迎春花,Jasminum nudiflorum,雁山区普查队,450311190323015LY,20190323,广西,161,灌丛,路旁,黄棕壤;多;野生,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00424892.jpg,,,,,,,,,, +迎春花,Jasminum nudiflorum,翁若芬,12664,19880501,上海市,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/SHM/SHM0000738.jpg,,,,,,,,,, +,Jasminum nudiflorum var. pulvinatum,"Forrest, George",13834,17-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00759796.jpg,,,,,,,,,, +垫状迎春,Jasminum nudiflorum var. pulvinatum,香料植物考察队,11969,19760623,西藏自治区,2700,干热河谷山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/60163.jpg,,,,,,,,,, +垫状迎春,Jasminum nudiflorum var. pulvinatum,翁若芬,12693,19880531,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/SHM/SHM0000745.jpg,,,,,,,,,, +,Jasminum officinale,胡君、王东超、李丽、唐露,SC-a-073-B009,20180808,云南,3378,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260827.jpg,,,,,,,,,, +西藏素方花,Jasminum officinale,纳溪组,122,19770710,四川,400,,多年生藤本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM716300539.jpg,,,,,,,,,, +西藏素方花,Jasminum officinale,李生堂,80-247,19800725,云南省,2400,黑龙潭水旁,,有果无花,https://image.cvh.ac.cn/files/l/KUN/60356.jpg,,,,,,,,,, +,Jasminum officinale var. piliferum,高信芬、涂卫国、何海、乔永康,6767,20030901,西藏自治区,2400,云南松林下,灌木,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0189264.jpg,,,,,,,,,, +具毛素方花,Jasminum officinale var. piliferum,青藏队,73-349,19730625,西藏,2600,山谷高山栎林下,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1209739.jpg,,,,,,,,,, +西藏素方花,Jasminum officinale var. tibeticum,昆明工作站,743/3,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0460420.jpg,,,,,,,,,, +西藏素方花,Jasminum officinale var. tibeticum,赵清盛、胡刚等,4433,1978-5 1,四川省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0114030.jpg,,,,,,,,,, +西藏素方花,Jasminum officinale var. tibeticum,纳溪组,122,19770710,四川,400,,多年生藤本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM716300539.jpg,,,,,,,,,, +茉莉花,Jasminum sambac,武晨旭,2.02E+11,20200625,山东,47,家养,常绿灌木,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0059935.jpg,,,,,,,,,, +茉莉花,Jasminum sambac,克里木,132,90.8.22,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00029720.jpg,,,,,,,,,, +茉莉花,Jasminum sambac,朱鑫鑫;王君;王美华,ZXX201921,20200909,河南,83,花盆,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508695.jpg,,,,,,,,,, +腺叶素馨,Jasminum subglandulosum,蔡杰,亚吉东,李昌洪,17CS15008,20170329,云南,730,常绿阔叶林林缘,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1489349.jpg,,,,,,,,,, +密花素馨,Jasminum tonkinense,彭玉德、谭小明、李莹,451031130422002LY,20130422,广西,1119,灌丛,路旁,石灰土,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0190415.jpg,,,,,,,,,, +密花素馨,Jasminum tonkinense,王孝、高锡朋、刘心祈,100213,19400304,云南省 ,915,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0460828.jpg,,,,,,,,,, +密花素馨,Jasminum tonkinense,,40059,19600425,云南省,0~700,,,有花无果,https://image.cvh.ac.cn/files/l/N/133242711_1.jpg,,,,,,,,,, +,Jasminum × stephanense,,,,,,,,,,,,,,,,,,, +矮小苓菊,Jurinea algida,西植新疆队,1712,1978/7/28,新疆维吾尔族自治区,3020,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0335928.jpg,,,,,,,,,, +矮小苓菊,Jurinea algida,西植新疆队,1712,19780728,新疆维吾尔自治区,3020,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00998448.jpg,,,,,,,,,, +南疆苓菊,Jurinea kaschgarica,,9766,1959621,,2300,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022899.jpg,,,,,,,,,, +南疆苓菊,Jurinea kaschgarica,,22313,19550700,新疆维吾尔自治区,,干旱,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836577.jpg,,,,,,,,,, +南疆苓菊,Jurinea kaschgarica,,9766,1959.6.2,新疆维吾尔自治区 ,2300,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042465.jpg,,,,,,,,,, +,Justicia adhatoda,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180529,20181105,Mon State,,,Herb,无花无果,https://image.cvh.ac.cn/files/l/KUN/1498645.jpg,,,,,,,,,, +鸭嘴花,Justicia adhatoda,张寿洲,10172,20020307,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00021949.jpg,,,,,,,,,, +鸭嘴花,Justicia adhatoda,雁山区普查队,450311190323001LY,20190323,广西,161,草丛,路旁,黄棕壤;少;野生,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00424982.jpg,,,,,,,,,, +小驳骨,Justicia gendarussa,唐赛春、潘玉梅,RQXN08126,20160119,广西省,119.1031,路边,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0126027.jpg,,,,,,,,,, +小驳骨,Justicia gendarussa,曾宪锋,ZXF6218,2004/6/1,广东省,,,,,https://image.cvh.ac.cn/files/l/CZH/CZH0003180.jpg,,,,,,,,,, +小驳骨,Justicia gendarussa,,5901,19150303,云南省 ,0~200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0559590.jpg,,,,,,,,,, +,Justicia procumbens,汪庆,等,629,,江苏省,,山坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00628739.jpg,,,,,,,,,, +爵床,Justicia procumbens,杨远利,52272820150909017LY,20150909,贵州,,草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0009553.jpg,,,,,,,,,, +爵床,Justicia procumbens,曾宪锋,ZXF33763,20171022,广东省,470,山地、灌丛,多年生披散草本,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0029052.jpg,,,,,,,,,, +,Justicia quinqueangularis,,,,,,,,,,,,,,,,,,, +椭苞爵床,Justicia simplex,J.F.Duthie,6461,19861125,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0559881.jpg,,,,,,,,,, +椭苞爵床,Justicia simplex,,1483,19290819,台湾省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0559943.jpg,,,,,,,,,, +滇野靛棵,Justicia vasculosa,杨平、农时越、农素芸等,BL898,20200813,广西,~691,石灰岩石山;少见,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00429156.jpg,,,,,,,,,, +滇野靛棵,Justicia vasculosa,莫安娜,808,19851228,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI053685.jpg,,,,,,,,,, +滇野靛棵,Justicia vasculosa,许为斌、盘波,10146,20100417,广西壮族自治区,200,石灰岩山地阔叶林,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00216663.jpg,,,,,,,,,, +,Justicia virgata,,,,,,,,,,,,,,,,,,, +,Kaisupeea herbacea,,,,,,,,,,,,,,,,,,, +猪毛菜,Kali collinum,刘全儒、何毅,HSH2021-091,20201008,河北,7,田边村舍周围,,无花有果,https://image.cvh.ac.cn/files/l/BNU/0054292.jpg,,,,,,,,,, +,Kali monopterum,,,,,,,,,,,,,,,,,,, +,Kali nepalense,,,,,,,,,,,,,,,,,,, +,Kali tragus,,,,,,,,,,,,,,,,,,, +密枝喀什菊,Kaschgaria brachanthemoides,赵一之,122,20000924,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0038545.jpg,,,,,,,,,, +密枝喀什菊,Kaschgaria brachanthemoides,,11232,197779,,1000,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20020666.jpg,,,,,,,,,, +密枝喀什菊,Kaschgaria brachanthemoides,,651424,1965.8.1,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00040091.jpg,,,,,,,,,, +云南钩毛草,Kelloggia chinensis,青藏队,12754,19830809,青海省,3600,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/359008.jpg,,,,,,,,,, +,Kelloggia chinensis,Delavay,2588,1884-8-26,,,,,,https://image.cvh.ac.cn/files/l/P/P02285200.jpg,,,,,,,,,, +云南钧毛草,Kelloggia chinensis,文雪梅,20110901-13,20110901,西藏自治区,,林下草地,,有花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0011164.jpg,,,,,,,,,, +,Khasiaclunea oligocephala,,,,,,,,,,,,,,,,,,, +,Khasianthus subsessilis,,,,,,,,,,,,,,,,,,, +缢苞麻花头,Klasea centauroides subsp. strangulata,张磊,张朝攀,zlnmu2022173,20220718,宁夏,1836,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/NMU/NMU00968.jpg,,,,,,,,,, +歪斜麻花头,Klasea procumbens,亚吉东,张桥蓉,秦少发,杨忠兰,16CS13464,20160827,新疆,869,河滩上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1438146.jpg,,,,,,,,,, +鹧鸪麻,Kleinhovia hospita,Shu-Mei Liu et al.,96,19951206,台湾省,20,On semi-shaded roadside,,无花有果,https://image.cvh.ac.cn/files/l/PE/01781751.jpg,,,,,,,,,, +鹧鸪麻,Kleinhovia hospita,滇黔桂区系队,40290,19910508,贵州省,500,残存林沟谷林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/424427.jpg,,,,,,,,,, +鹧鸪麻,Kleinhovia hospita,青藏队,74-4583,19740826,西藏自治区,850~800,山坡阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/424375.jpg,,,,,,,,,, +西伯利亚蓼,Knorringia sibirica,张磊,张志强,zlnmu2022311,20210806,青海,2904,山地灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/NMU/NMU01378.jpg,,,,,,,,,, +西伯利亚蓼,Knorringia sibirica,邓姣姣、卫靜丽、刘常坤,WJL-02-B-041,20200817,四川,3447.53m,河边草地,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02062059.jpg,,,,,,,,,, +,Knorringia sibirica subsp. thomsonii,,,,,,,,,,,,,,,,,,, +红芽大戟,Knoxia sumatrensis,吕惠珍、黄燕芬、阳海鹏、岑海锋,451028130915002LY,20130915,广西,530,阔叶林,林下,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0143529.jpg,,,,,,,,,, +,Knoxia sumatrensis,彭华,陈志辉等,131012,20131026,云南省 ,882,Grass slope,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1241633.jpg,,,,,,,,,, +,Knoxia sumatrensis,W.Nanakorn,896,19940611,,900,落叶林中,草本,,https://image.cvh.ac.cn/files/l/HITBC/0001223.jpg,,,,,,,,,, +蝎尾菊,Koelpinia linearis,青藏队,76-8174,19760703,西藏自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/59891.jpg,,,,,,,,,, +,Koelpinia linearis,朱格鳞 徐文友,5022,19640511,新疆,,砾质戈壁,荒地,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093359.jpg,,,,,,,,,, +蝎尾菊,Koelpinia linearis,,17,19170101,,,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0028992.jpg,,,,,,,,,, +,Koenigia alpina,,,,,,,,,,,,,,,,,,, +,Koenigia campanulata,,,,,,,,,,,,,,,,,,, +,Koenigia campanulata var. fulvida,,,,,,,,,,,,,,,,,,, +,Koenigia cathayana,,,,,,,,,,,,,,,,,,, +,Koenigia chuanzangensis,周忠泽等,90512,20090819,四川省,4275,湿草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1253501.jpg,,,,,,,,,, +,Koenigia cyanandra,,,,,,,,,,,,,,,,,,, +,Koenigia delicatula,王启无,68561,19350800,云南省,3600,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00384369.jpg,,,,,,,,,, +,Koenigia delicatula,"H.Ohba,M.Wakabayashi,M.Suzuki etc.",8571886,19850822,,2800~3670,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892519.jpg,,,,,,,,,, +,Koenigia delicatula,T.H.Tu,614,19350816,四川省,,草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00384335.jpg,,,,,,,,,, +叉分蓼,Koenigia divaricata,王良信、王幼青,803061,19800727,黑龙江,,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0003181.jpg,,,,,,,,,, +叉分神血宁,Koenigia divaricata,刘浪 闫瑞亚,LL2019010,20190619,河北,,,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0055233.jpg,,,,,,,,,, +青藏蓼,Koenigia fertilis,N.M.Przewalski,345,18800610,青海省,3000,Pratis alpinis prope alpem Dshachar-dsargyn,,有花有果,https://image.cvh.ac.cn/files/l/PE/00000037.jpg,,,,,,,,,, +,Koenigia filicaulis,,,,,,,,,,,,,,,,,,, +,Koenigia forrestii,"Forrest, G.",4590,,,,,,,https://image.cvh.ac.cn/files/l/P/P00734211.jpg,,,,,,,,,, +,Koenigia hookeri,,,,,,,,,,,,,,,,,,, +冰岛蓼,Koenigia islandica,"Jin Xh,Wang LS Wang Q et al.",ST1773,20130803,云南省,3700~4231,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01977476.jpg,,,,,,,,,, +冰岛蓼,Koenigia islandica,D.E.Boufford et al.,40414,20100823,甘肃省,3600~3620,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898972.jpg,,,,,,,,,, +冰岛蓼,Koenigia islandica,北师大秦岭队,TB302,20130624,陕西省,3500,山坡,草,,https://image.cvh.ac.cn/files/l/BNU/0014722.jpg,,,,,,,,,, +,Koenigia mollis,,,,,,,,,,,,,,,,,,, +,Koenigia mollis var. frondosa,,,,,,,,,,,,,,,,,,, +,Koenigia mollis var. rudis,,,,,,,,,,,,,,,,,,, +,Koenigia nummulariifolia,,,,,,,,,,,,,,,,,,, +,Koenigia pilosa,C.W.Wang,68966,19350800,云南省,3600,,herb,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 002507.jpg,,,,,,,,,, +柔毛蓼,Koenigia pilosa,D.E.Boufford et al.,41882,20090804,西藏自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898978.jpg,,,,,,,,,, +柔毛蓼,Koenigia pilosa,N.M.Przewalski,270,18720713,青海省,,Jugum S a fl.Tetung circa domos vetustos gregaria,,有花无果,https://image.cvh.ac.cn/files/l/PE/00000039.jpg,,,,,,,,,, +,Koenigia polystachya,,,,,,,,,,,,,,,,,,, +,Koenigia tortuosa,,,,,,,,,,,,,,,,,,, +,Koenigia tortuosa var. glabrifolia,,,,,,,,,,,,,,,,,,, +红花蕊木,Kopsia fruticosa,,1051,192306,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00050150.jpg,,,,,,,,,, +木长春,Kopsia fruticosa,杨婷婷,C470005,20080325,云南省,570,百花园,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0022513.jpg,,,,,,,,,, +红花蕊木,Kopsia fruticosa,邓良,3494,19561203,海南省,0,水旁山谷阳处疏林中,,有果无花,https://image.cvh.ac.cn/files/l/KUN/239235.jpg,,,,,,,,,, +栗寄生,Korthalsella japonica,环江县普查队,451226130319043LY,20130319,广西,325,灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0112991.jpg,,,,,,,,,, +栗寄生,Korthalsella japonica,汪劲武 施志诚,292,19770906,陕西,1240,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0036570.jpg,,,,,,,,,, +栗寄生,Korthalsella japonica,"汪劲武,施志诚",292,19770906,陕西省,1240,谷山,,有花无果,https://image.cvh.ac.cn/files/l/PE/00891091.jpg,,,,,,,,,, +,Krascheninnikovia ceratoides,陈又生等,141053,20140729,内蒙古自治区,,荒漠山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02031181.jpg,,,,,,,,,, +驼绒藜,Krascheninnikovia ceratoides,黄河队,8685,19560907,甘肃,1800,石灰岩石上,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0087632.jpg,,,,,,,,,, +,Krascheninnikovia ceratoides,青甘队,1214,19581015,甘肃省,2800,丘陵,,有花有果,https://image.cvh.ac.cn/files/l/PE/00540511.jpg,,,,,,,,,, +垫状驼绒藜,Krascheninnikovia compacta,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,9-44,20180815,西藏,4447,湖岸湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0193663.jpg,,,,,,,,,, +,Krascheninnikovia compacta,甘农大,57,19760719,西藏自治区,4800,旱生,,无花无果,https://image.cvh.ac.cn/files/l/PE/00541021.jpg,,,,,,,,,, +,Krascheninnikovia compacta,青甘队,609,19590706,青海省,3690~4100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00540518.jpg,,,,,,,,,, +,Krascheninnikovia compacta var. longipilosa,,13154,19760812,西藏自治区,5100,山地石质坡阳坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00146790.jpg,,,,,,,,,, +,Kuepferia damyonensis,,,,,,,,,,,,,,,,,,, +,Kuepferia decorata,,,,,,,,,,,,,,,,,,, +,Kuepferia doxiongshangensis,,,,,,,,,,,,,,,,,,, +,Kuepferia infelix,,,,,,,,,,,,,,,,,,, +,Kuepferia leucantha,,,,,,,,,,,,,,,,,,, +,Kuepferia otophora,,,,,,,,,,,,,,,,,,, +,Kuepferia otophoroides,,,,,,,,,,,,,,,,,,, +,Kuepferia sichitoensis,,,,,,,,,,,,,,,,,,, +翅果麻,Kydia calycina,王印政等,5034,19981028,云南省,480,山地山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/01802291.jpg,,,,,,,,,, +翅果麻,Kydia calycina,T.N.Liou,6011,19321116,,688,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01287837.jpg,,,,,,,,,, +翅果麻,Kydia calycina,第四组,201,20020707,贵州省,850,田埂上,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0006140.jpg,,,,,,,,,, +毛叶翅果麻,Kydia glabrescens,刘景欣,1239,20091111,云南,1748,河岸,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029202.jpg,,,,,,,,,, +光叶翅果麻,Kydia glabrescens,C.W.Wang,78563,19360900,云南省 ,1500,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0282082.jpg,,,,,,,,,, +光叶翅果麻,Kydia glabrescens,C.W.Wang,80303,Nov-35,四川省,1080,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0077315.jpg,,,,,,,,,, +裂叶莴苣,Lactuca dissecta,王以兴,522422150812034LY,20150812,贵州省,1685,中生、耐阴、中温、野生植物、灌丛,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0035026.jpg,,,,,,,,,, +裂叶莴苣,Lactuca dissecta,"张永田,郞楷永",4443,19660623,西藏自治区,2000,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01688762.jpg,,,,,,,,,, +裂叶莴苣,Lactuca dissecta,S.I.Ali etc.,3271,19891003,Karachi,1620,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/754183.jpg,,,,,,,,,, +长叶莴苣,Lactuca dolichophylla,T.N.Liou,L.5765,19321023,,566,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01672967.jpg,,,,,,,,,, +长叶莴苣,Lactuca dolichophylla,滇黔桂队,50483,19910924,贵州省,1200~1150,土山路旁,,有花无果,https://image.cvh.ac.cn/files/l/KUN/751980.jpg,,,,,,,,,, +长叶莴苣,Lactuca dolichophylla,PE-古蔺考察队,799,20100907,四川省,1070~977,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01864640.jpg,,,,,,,,,, +山莴苣,Lactuca indica,张粤、苏道岩、魏志文、王艳林,XM1090,20160714,内蒙古自治区通辽市,910.5,草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0240209.jpg,,,,,,,,,, +,Lactuca indica,汪劲武等,115,19780820,河北,1100,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0055161.jpg,,,,,,,,,, +山莴苣,Lactuca indica,曹伟,CaoW5770,20140814,黑龙江省大庆市,125,油田内草地,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0240966.jpg,,,,,,,,,, +毒莴苣,Lactuca serriola,曾宪锋,ZXF19145,20160514,福建省,,平地、路旁,一年生草本,直立,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0011681.jpg,,,,,,,,,, +野莴苣,Lactuca serriola,邢吉庆,22928,1980/7/5,陕西,450,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0008243.jpg,,,,,,,,,, +,Lactuca serriola,"李振宇,傅连中,范晓虹等",11818,20090819,辽宁省,,铁路边荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882545.jpg,,,,,,,,,, +乳苣,Lactuca tatarica,魏来,周利杰,ZLJ094,20210601,内蒙古,1020,沙地,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0051933.jpg,,,,,,,,,, +蒙山莴苣,Lactuca tatarica,W.Y.Hsia,H.2645,1931/7/19,绥远,1100,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0016570.jpg,,,,,,,,,, +蒙山莴苣,Lactuca tatarica,路端正,358,19900801,黑龙江,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00006108.jpg,,,,,,,,,, +,Ladakiella Klime?ii,,,,,,,,,,,,,,,,,,, +瓶头草,Lagenophora stipitata,南植地,4102,,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0605390.jpg,,,,,,,,,, +瓶头草,Lagenophora stipitata,易桂花、李秀枝、张丽萍,9779,20090818,江西省,45,山脚菜园栽培,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00029127.jpg,,,,,,,,,, +瓶头草,Lagenophora stipitata,青藏队,9332,19820814,云南省,1800~1700,山坡常绿阔叶林林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/490991.jpg,,,,,,,,,, +六棱菊,Laggera alata,,4037,19601010,浙江省,,山坡路边,草本,,https://image.cvh.ac.cn/files/l/ZM/ZMNH0041137.jpg,,,,,,,,,, +六棱菊,Laggera alata,张海道,B35,19560401,海南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0605302.jpg,,,,,,,,,, + 六棱菊,Laggera alata,张俪斌,王露,施宇茹,ZLB46,20180818,海南,,村旁路边,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1516285.jpg,,,,,,,,,, +,Laggera crispata,林秦文,2013-145,20130531,云南省,1600~1750,沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02040559.jpg,,,,,,,,,, +,Laggera crispata,蔡杰,15CS10015,20150409,云南,,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375929.jpg,,,,,,,,,, +,Laggera crispata,"Maire, E.E.",s.n.,11-Mar,,,,,,https://image.cvh.ac.cn/files/l/E/E00413691.jpg,,,,,,,,,, +,Lagopsis eriostachya,,,,,,,,,,,,,,,,,,, +黄花夏至草,Lagopsis flava,,240,720713,,2000,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20003429.jpg,,,,,,,,,, +黄花夏至草,Lagopsis flava,青藏队,9108,19760821,西藏自治区,5100,山坡砂砾地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/216327.jpg,,,,,,,,,, +黄花夏至草,Lagopsis flava,关克俭,2653,57.08.06,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00032523.jpg,,,,,,,,,, +夏至草,Lagopsis supina,高东昌,1404,,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF006311.jpg,,,,,,,,,, +夏至草,Lagopsis supina,,138,19750831,西藏,2900,,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM717302744.jpg,,,,,,,,,, +夏至草,Lagopsis supina,刘博,LBBJ5,20190414,北京,56,园中草地野生,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1502524.jpg,,,,,,,,,, +,Lagotis chumbica,,,,,,,,,,,,,,,,,,, +大萼兔耳草,Lagotis clarkei,陈晓澄等,Chenxc-194,20170901,西藏,4217,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018937.jpg,,,,,,,,,, +大萼兔耳草,Lagotis clarkei,西藏中草药普查队,4436,19720821,西藏自治区,4600,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/33513.jpg,,,,,,,,,, +大萼兔耳草,Lagotis clarkei,Y.Omori et al.,9950023,19990808,,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475345.jpg,,,,,,,,,, +厚叶兔耳草,Lagotis crassifolia,青藏补点,750320,19750615,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/98401.jpg,,,,,,,,,, +倾卧兔耳草,Lagotis decumbens,陈绍煋,780891,19780722,新疆,3500,高山草甸,,,https://image.cvh.ac.cn/files/l/BJM/169694.jpg,,,,,,,,,, +倾卧兔耳草,Lagotis decumbens,生物研究所西藏考察队,3365,19740702,新疆维吾尔自治区,4920,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/41210.jpg,,,,,,,,,, +倾卧兔耳草,Lagotis decumbens,,84-A-429,840716,,4300,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20012781.jpg,,,,,,,,,, +,Lagotis pharica,,,,,,,,,,,,,,,,,,, +圆穗兔耳草,Lagotis ramalana,郭本兆 王为义,21522,19770716,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/66149.jpg,,,,,,,,,, +,Lagotis ramalana,Kingdon-Ward Frank,140,11-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00327139.jpg,,,,,,,,,, +圆穗兔耳草,Lagotis ramalana,玛沁队,288,19740707,青海省,4600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/41825.jpg,,,,,,,,,, +宝盖草,Lamium amplexicaule,张相宜,李子宣,郭泳棂,Z-01-01-05-016,20210525,四川,1770,路边,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02071745.jpg,,,,,,,,,, +宝盖草,Lamium amplexicaule,浙普队,杭141,19570411,浙江省,,草丛中,,有花无果,https://image.cvh.ac.cn/files/l/JJF/00022922.jpg,,,,,,,,,, +宝盖草,Lamium amplexicaule,侯元同,郭成勇,201511022-1-2,20151121,重庆,771,农田,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0043508.jpg,,,,,,,,,, +野芝麻,Lamium barbatum,杜桂娟、马凤江、杨姝等,HLD-P003-85,20150809,辽宁省葫芦岛市,126.6,山地、半阳坡,,有花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF008984.jpg,,,,,,,,,, +野芝麻,Lamium barbatum,"熊济华,周子林",90925,1957/5/21,重庆,1750,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0316759.jpg,,,,,,,,,, +野芝麻,Lamium barbatum,程艺,DC189,20210324,河南,124,山坡,,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0220827.jpg,,,,,,,,,, +,Lamium gilongensis,,,,,,,,,,,,,,,,,,, +肉果草,Lancea tibetica,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20590,20200624,西藏,4062,高山草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507740.jpg,,,,,,,,,, +肉果草,Lancea tibetica,余奇、周晓雪,THP-KD-4123,20170711,四川,3348~3745,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250199.jpg,,,,,,,,,, +肉果草,Lancea tibetica,南水北调队,470,19590523,甘肃省,2200,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00247146.jpg,,,,,,,,,, +,Lantana camara,黄茂先,110703,19580629,广东省,45,,,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ049528.jpg,,,,,,,,,, +马缨丹,Lantana camara,李 日光,1011,19391116,香港,0,,亚灌木,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0496227.jpg,,,,,,,,,, +马缨丹,Lantana camara,刘青林,208,19860829,京都市,,,,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH003431.jpg,,,,,,,,,, +,Lantana indica,S.K.Banerjee,162,19561212,,,,shrub,有花无果,https://image.cvh.ac.cn/files/l/AU/019653.jpg,,,,,,,,,, +小果鹤虱,Lappula microcarpa,伍凯,XMLY12048,20120715,西藏自治区,3760,沙质山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043040.jpg,,,,,,,,,, +小果鹤虱,Lappula microcarpa,"李安仁,朱家柟",8331,1958/9/11,新疆维吾尔族自治区,1900,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0256242.jpg,,,,,,,,,, +异形小果鹤虱,Lappula microcarpa,郝加琛,周瑜,16601,20160709,新疆维吾尔自治区,,路边草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0030616.jpg,,,,,,,,,, +鹤虱,Lappula myosotis,王梦珊,21,20170602,辽宁省,351,山路旁,,有花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF002919.jpg,,,,,,,,,, +鹤虱,Lappula myosotis,"孙阎, 李鑫鑫",SunY295,20160710,黑龙江,482,路旁,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1458640.jpg,,,,,,,,,, +鹤虱,Lappula myosotis,J.Kozlov,,19280702,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00058986.jpg,,,,,,,,,, +卵果鹤虱,Lappula patula,何毅,周瑜,BNU2017XJ213,20170711,新疆维吾尔自治区,1360,戈壁草地,,有花有果,https://image.cvh.ac.cn/files/l/BNU/0033533.jpg,,,,,,,,,, +卵果鹤虱,Lappula patula,郝加琛,X214133,20140712,西藏自治区,4930,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/BNU/0030436.jpg,,,,,,,,,, +卵果鹤虱,Lappula patula,K. Gross,3589b,19290626,,,,,无花有果,https://image.cvh.ac.cn/files/l/IFP/12309999y0005.jpg,,,,,,,,,, +,Lappula redowskii,,86031,86.05.07,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00031417.jpg,,,,,,,,,, +,Lappula redowskii,,7425,1974-7 1,四川省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0119253.jpg,,,,,,,,,, +,Lappula redowskii,青藏队补点,751501,19750724,西藏自治区,4300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/52111.jpg,,,,,,,,,, +异形狭果鹤虱,Lappula semiglabra,秦仁昌,66,19560703,甘肃省,,砾质荒漠,,无花有果,https://image.cvh.ac.cn/files/l/PE/01338928.jpg,,,,,,,,,, +异形狭果鹤虱,Lappula semiglabra,新疆采集队,238,1978/6/3,新疆维吾尔族自治区,610,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0331913.jpg,,,,,,,,,, +狭果鹤虱,Lappula semiglabra,郝加琛、周瑜,16752,20160714,新疆维吾尔自治区,,砾石山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043007.jpg,,,,,,,,,, +劲直鹤虱,Lappula stricta,05级6组,506090,20070816,,,,,无花有果,https://image.cvh.ac.cn/files/l/HIMC/0037846.jpg,,,,,,,,,, +劲直鹤虱,Lappula stricta,赵一之,3048,19910707,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0032359.jpg,,,,,,,,,, +劲直鹤虱,Lappula stricta,周瑜,BNU2017XZ274,20170904,西藏自治区,4448,草地,,有花有果,https://image.cvh.ac.cn/files/l/BNU/0033484.jpg,,,,,,,,,, +短梗鹤虱,Lappula tadshikorum,新疆采集队,1801,1978/7/30,新疆,3000,山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/336479.jpg,,,,,,,,,, +短梗鹤虱,Lappula tadshikorum,龚玲,蒙021,20110710,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/BNU/0030529.jpg,,,,,,,,,, +短梗鹤虱,Lappula tadshikorum,新疆采集队,1801,1978/7/30,新疆维吾尔族自治区,3000,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0336479.jpg,,,,,,,,,, +斜基粗叶木,Lasianthus attenuatus,苍梧县普查队,450421200801046LY,20200801,广西,356,灌丛,林下,黄壤;一般;野生,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00430049.jpg,,,,,,,,,, +斜基粗叶木,Lasianthus attenuatus,刘景欣,319,20081110,云南,810,森林,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029443.jpg,,,,,,,,,, +斜基粗叶木,Lasianthus attenuatus,张寿洲,10248,20020424,广东省,,密林,,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00045507.jpg,,,,,,,,,, +梗花粗叶木,Lasianthus biermannii,谭策铭、易桂花、曹仕优,Y06591,20070101,广东省,285,山下部三姑林中,常绿乔木,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00045635.jpg,,,,,,,,,, +粗梗粗叶木,Lasianthus biermannii,武全安,8533,19590621,云南,1550,林内,湿润,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0395183.jpg,,,,,,,,,, +梗花粗叶木,Lasianthus biermannii,,75048,19750408,四川,200左右,,,有果无花,https://image.cvh.ac.cn/files/l/BJM/0146770.jpg,,,,,,,,,, +虎克粗叶木,Lasianthus hookeri,海南吊罗山队,3252,19541222,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00100118.jpg,,,,,,,,,, +睫毛粗叶木,Lasianthus hookeri,王洪,2404,19930928,云南省,900,季雨林,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0001371.jpg,,,,,,,,,, +,Lasianthus hookeri,Cavalerie,3459,8-Oct,,,,,,https://image.cvh.ac.cn/files/l/P/P02285243.jpg,,,,,,,,,, +云广粗叶木,Lasianthus japonicus subsp. longicaudus,张桥蓉,宋鼎,孙旭伟,吕维志,王勒保,ZhangYH030,20190719,贵州,1691,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1489295.jpg,,,,,,,,,, +云广粗叶木,Lasianthus japonicus subsp. longicaudus,灌阳县普查队,450327160416001LY,20160416,广西壮族自治区,564,阔叶林、阳坡,黄棕壤,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0173485.jpg,,,,,,,,,, +云广粗叶木亚种,Lasianthus japonicus subsp. longicaudus,邵剑文 刘金 章伟 李永权,ANUB00899,20160519,安徽省,401.406,林下,,有花无果,https://image.cvh.ac.cn/files/l/ANUB/ANUB000153.jpg,,,,,,,,,, +无苞粗叶木,Lasianthus lucidus,"陶国达,李锡文",39666,19891020,云南省,1450,沟谷林中,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0001452.jpg,,,,,,,,,, +无苞粗叶木,Lasianthus lucidus,陈少卿,10783,19561021,海南省,0~1300,,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0693070.jpg,,,,,,,,,, +无苞粗叶木,Lasianthus lucidus,中越考察队,108,19641207,山西省,1600~1550,林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/333164.jpg,,,,,,,,,, +小花粗叶木,Lasianthus micranthus,郭敏、陆海琳、银胜高、庞赵生,451324130323007LY,20130323,广西壮族自治区,452,阔叶林,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0155458.jpg,,,,,,,,,, +小花粗叶木,Lasianthus micranthus,H.Y.Liang,63180,19331013,海南省,,,shrub,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00250272.jpg,,,,,,,,,, +,Lasianthus micranthus,中越考察队,578,19641219,,120,小溪边林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/333435.jpg,,,,,,,,,, +锡金粗叶木,Lasianthus sikkimensis,王洪,9043,20130620,云南,800,路边,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026623.jpg,,,,,,,,,, +锡金粗叶木,Lasianthus sikkimensis,黄志,31069,19310803,广东省,,,,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00100066.jpg,,,,,,,,,, +,Lasianthus sikkimensis,S.H.Chun,12560,19570530,广西壮族自治区,460~650,,灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00250238.jpg,,,,,,,,,, +毛果草,Lasiocaryum densiflorum,,718,19790802,四川,3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717100551.jpg,,,,,,,,,, +毛果草,Lasiocaryum densiflorum,高信芬、朱章明、鞠文彬,14995,20110806,西藏,4890,高寒草地,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0224014.jpg,,,,,,,,,, +毛果草,Lasiocaryum densiflorum,俞德浚,9003,19370714,云南省,4000,山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/87708.jpg,,,,,,,,,, +小花毛果草,Lasiocaryum munroi,傅国勋,977,19600724,西藏自治区,3400,山坡阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01339008.jpg,,,,,,,,,, +光茎栓果菊,Launaea acaulis,"刘恩德, 邹娇,王存花,郭建伟,李冰玉, 陈志坚",LED9638,20200419,云南,657,干旱河谷坡地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1495543.jpg,,,,,,,,,, +光茎栓果菊,Launaea acaulis,陈炳辉,951,19910501,广东省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0605467.jpg,,,,,,,,,, +光茎栓果菊,Launaea acaulis,符国瑗,5873,19850810,海南省,0~50,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0605469.jpg,,,,,,,,,, +,Launaea polydichotoma,"陈又生,袁慊,徐连升等",140931,20140726,内蒙古自治区,1200,荒漠,,有花无果,https://image.cvh.ac.cn/files/l/PE/02033910.jpg,,,,,,,,,, +大丁草,Leibnitzia anandria,王彩玲 严英,,19750907,天津市,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00036988.jpg,,,,,,,,,, +一枝香,Leibnitzia anandria,钟树权,27,,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00259583.jpg,,,,,,,,,, +大丁草,Leibnitzia anandria,张代贵,zdg7681,20120920,湖北神农架,1500,林中路边,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU22164.jpg,,,,,,,,,, +尼泊尔大丁草,Leibnitzia nepalensis,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20767,20200628,西藏,3932,高山灌丛草地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507732.jpg,,,,,,,,,, +,Leibnitzia nepalensis,胡君、王东超、李丽、唐露,SC-a-067-B19,20180805,云南,,高山栎林样方中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610056.jpg,,,,,,,,,, +,Leibnitzia nepalensis,齐威,LJQ-GN-210,20080907,甘肃省,0~3442,高寒草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0282415.jpg,,,,,,,,,, +灰岩大丁草,Leibnitzia pusilla,王启无,66541,19350000,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00490782.jpg,,,,,,,,,, +红缨大丁草,Leibnitzia ruficoma,谢登峰、蔡竞、秦换换,CJ-009-A-027,20200921,四川,2602.87m,山坡草场,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02064364.jpg,,,,,,,,,, +,Leibnitzia ruficoma,"张永田,郞楷永",1091,19650729,西藏自治区,3040,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01433755.jpg,,,,,,,,,, +红缨大丁草,Leibnitzia ruficoma,王启无,69815,19350900,云南省,2700,ravine,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00494915.jpg,,,,,,,,,, +帕米尔光籽芥,Leiospora pamirica,西植新疆队,1080,19780705,新疆维吾尔自治区,3940,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01055225.jpg,,,,,,,,,, +帕米尔光籽芥,Leiospora pamirica,青藏队,73-399,19730627,西藏自治区,4600,山口垫状草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01055227.jpg,,,,,,,,,, +帕米尔光籽芥,Leiospora pamirica,新疆综合考察队,347,19590614,新疆维吾尔自治区 ,4200,山峰下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0498931.jpg,,,,,,,,,, +松毛火绒草,Leontopodium andersonii,杨朝广,391,19510908,河北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/497368.jpg,,,,,,,,,, +松毛火绒草,Leontopodium andersonii,建水县普查队,5325240703,20191028,云南,2005,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1524543.jpg,,,,,,,,,, +松毛火绒草,Leontopodium andersonii,Y.Tateishi,,19740907,北海道,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/497222.jpg,,,,,,,,,, +艾叶火绒草,Leontopodium artemisiifolium,四川植被队,8733,1975-8 1,四川省,1300,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0143860.jpg,,,,,,,,,, +,Leontopodium artemisiifolium,"Maire, Edouard-Ernest",s.n.,11-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00413671.jpg,,,,,,,,,, +艾叶火绒草,Leontopodium artemisiifolium,杨龙,S007,19980823,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0006478.jpg,,,,,,,,,, +黄毛火绒草,Leontopodium aurantiacum,G.Forrest,26832,1925,,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/AU050410.jpg,,,,,,,,,, +黄毛火绒草,Leontopodium aurantiacum,G.Forrest,26832,19250600,云南省,4000~4333,alpine rock species,,有花无果,https://image.cvh.ac.cn/files/l/PE/01190813.jpg,,,,,,,,,, +短星火绒草,Leontopodium brachyactis,刘书润,1856,19760724,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0029069.jpg,,,,,,,,,, +短星火绒草,Leontopodium brachyactis,"武素功,大场秀章,吴玉虎,费勇",2888,19880907,青海省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/150723.jpg,,,,,,,,,, +短星火绒草,Leontopodium brachyactis,"张永田,郞楷永",2714,19650916,西藏自治区,5000,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00502816.jpg,,,,,,,,,, +疏苞美头火绒草,Leontopodium calocephalum,白荫元及芬茨尔,1876,1934/ /,甘肃,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0073109.jpg,,,,,,,,,, +疏苞美头火绒草,Leontopodium calocephalum,甘青队,钟补求,8522,1958/7/25,青海,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0100826.jpg,,,,,,,,,, +湿生美头火绒草,Leontopodium calocephalum,J.F.ROCK,6014,19230500,云南省,0~3000,,,有花无果,https://image.cvh.ac.cn/files/l/N/280160937.jpg,,,,,,,,,, +山野火绒草,Leontopodium campestre,生物研究所西藏考察队,3864,197488,,4800,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20025413.jpg,,,,,,,,,, +山野火绒草,Leontopodium campestre,秦仁昌,176,1956-7 1,新疆维吾尔族自治区,1500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0143884.jpg,,,,,,,,,, +山野火绒草,Leontopodium campestre,"武素功,大场秀章,吴玉虎,费勇",2499,19880701,新疆维吾尔自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/149914.jpg,,,,,,,,,, +,Leontopodium dedekensii,川经阿,424,19590718,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/497216.jpg,,,,,,,,,, +,Leontopodium dedekensii,"Delavay, J.M.",2605,1887-4-19,,,,,,https://image.cvh.ac.cn/files/l/P/P01816326.jpg,,,,,,,,,, +戟叶火绒草,Leontopodium dedekensii,青藏队那曲分队陶德定,11306,19760906,西藏,4000,河边灌丛中,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809803.jpg,,,,,,,,,, +,Leontopodium forrestianum,G.Forrest,24876,1925,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU050406.jpg,,,,,,,,,, +鼠麴火绒草,Leontopodium forrestianum,郭先林、任婷,2040837,20200718,四川,4724,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02040837.jpg,,,,,,,,,, +鼠麴火绒草,Leontopodium forrestianum,吴征镒刘德儀,20194,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0055542.jpg,,,,,,,,,, +坚杆火绒草,Leontopodium franchetii,山诺会,199808,19980800,青海省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005275.jpg,,,,,,,,,, +,Leontopodium franchetii,"Soulié, J.A.",393,1893-8-6,,,,,,https://image.cvh.ac.cn/files/l/P/P01816335.jpg,,,,,,,,,, +坚杆火绒草,Leontopodium franchetii,山诺会,,19980801,青海,2700,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005275.jpg,,,,,,,,,, +密垫火绒草,Leontopodium haastioides,罗建、汪书丽,LIUJQ153,20111107,西藏自治区,0~5028,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280437.jpg,,,,,,,,,, +密垫火绒草,Leontopodium haastioides,川经植,3390,,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00503143.jpg,,,,,,,,,, +密垫火绒草,Leontopodium haastioides,杨永昌,Q54,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809698.jpg,,,,,,,,,, +香芸火绒草,Leontopodium haplophylloides,刘坤,LiuJQ-GN-521,20110920,甘肃省,0~2963,草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0285062.jpg,,,,,,,,,, +香芸火绒草,Leontopodium haplophylloides,山诺会,19990801,19990801,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005277.jpg,,,,,,,,,, +香芸火绒草,Leontopodium haplophylloides,黄河队,3095,1956/9/9,甘肃,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0083575.jpg,,,,,,,,,, +矮小珠峰火绒草,Leontopodium himalayanum,钟补求,5749a,19530720,西藏自治区,4130,山沟底Wconaiae中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00503170.jpg,,,,,,,,,, +,Leontopodium himalayanum,蒋有绪,1129,19600613,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00039250.jpg,,,,,,,,,, +珠峰火绒草,Leontopodium himalayanum,J.F.ROCK,16844,19230800,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/280160946.jpg,,,,,,,,,, +长茎雅谷火绒草,Leontopodium jacotianum,K.T.Fu,1042,19370705,甘肃省,2500,on hill slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00503186.jpg,,,,,,,,,, +长茎雅谷火绒草,Leontopodium jacotianum,南水北调队,2855,19600607,四川省,2400,丘陵平岗地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/497270.jpg,,,,,,,,,, +,Leontopodium jacotianum,,4070,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0605624.jpg,,,,,,,,,, +厚绒薄雪火绒草,Leontopodium japonicum,"T.N.Liou,P.C.Tsoong",2577,1935/8/12,,1350,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0016601.jpg,,,,,,,,,, +厚茸薄雪火绒草,Leontopodium japonicum,杨仕煊,393,19850728,湖北省,0~1000,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0605640.jpg,,,,,,,,,, +厚绒薄雪火绒草,Leontopodium japonicum,李培元,8912,1959/8/19,陕西,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0356144.jpg,,,,,,,,,, +,Leontopodium junpeianum,D.E.Boufford et al.,42655,20100805,四川省,4410~4650,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01917526.jpg,,,,,,,,,, +长叶火绒草,Leontopodium junpeianum,左忠 ;左伟;王雨,ZuoZh300,20191001,宁夏,2433,温带干草原人工造林地,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1553851.jpg,,,,,,,,,, +火绒草,Leontopodium leontopodioides,王作宾,17892,19570605,甘肃省,1180,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0004207.jpg,,,,,,,,,, +火绒草,Leontopodium leontopodioides,西植新疆队,2424,1978/8/16,新疆,2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0337917.jpg,,,,,,,,,, +,Leontopodium leontopodioides,李博刘玉书,56,195608,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0056168.jpg,,,,,,,,,, +,Leontopodium lingianum,,,,,,,,,,,,,,,,,,, +单头火绒草,Leontopodium monocephalum,吴玉虎,35991,20050806,青海省,4650,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0223694.jpg,,,,,,,,,, +单头火绒草,Leontopodium monocephalum,杨金祥,1923,1963/7/8,西藏,5000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0215695.jpg,,,,,,,,,, +单头火绒草,Leontopodium monocephalum,PE西藏考察队,7584,20180621,西藏自治区,3796~4100,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334357.jpg,,,,,,,,,, +藓状火绒草,Leontopodium muscoides,王启无,69603,193509,云南省,3500,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/497381.jpg,,,,,,,,,, +藓状火绒草,Leontopodium muscoides,G.Forrest,12989,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0605694.jpg,,,,,,,,,, +,Leontopodium muscoides,鞠文彬,杨焰,THP-KD-5232,20170804,四川,4040,草地灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252444.jpg,,,,,,,,,, +矮火绒草,Leontopodium nanum,李晓东,刘帆,张景博,徐凌翔,LiJ0037,20080901,甘肃,3516,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0190502.jpg,,,,,,,,,, +矮火绒草,Leontopodium nanum,青藏队,361,1981-6 5,云南省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0151894.jpg,,,,,,,,,, +矮火绒草,Leontopodium nanum,吴征镒,92036,19920706,河北省,2250,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/497399.jpg,,,,,,,,,, +白雪火绒草,Leontopodium niveum,Harry Smith,13397,19341113,四川省,1900,in colle arido,,有花有果,https://image.cvh.ac.cn/files/l/PE/00503874.jpg,,,,,,,,,, +,Leontopodium niveum,K. A. H. Smith,13397,1934/11/13,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00009611.jpg,,,,,,,,,, +白雪火绒草,Leontopodium niveum,"张永田,郞楷永",489,19650709,西藏自治区,2700,松林下草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00503873.jpg,,,,,,,,,, +黄白火绒草,Leontopodium ochroleucum,,2607,1961.6.2,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00045092.jpg,,,,,,,,,, +黄白火绒草,Leontopodium ochroleucum,路端正,,20070818,青海,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC0000520.jpg,,,,,,,,,, +黄白火绒草,Leontopodium ochroleucum,陈晓澄等,5796,20140805,西藏自治区,4244,灌林下草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00015985.jpg,,,,,,,,,, +弱小火绒草,Leontopodium pusillum,杨慧钊,201906056,20190706,新疆,4126.85,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1525560.jpg,,,,,,,,,, +弱小火绒草,Leontopodium pusillum,李欣,28,19920502,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00037863.jpg,,,,,,,,,, +弱小火绒草,Leontopodium pusillum,,84-A -0100,1984.6.2,新疆维吾尔自治区 ,4100,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00045095.jpg,,,,,,,,,, +,Leontopodium roseum,"Smith, Karl August Harald",2317,27-Jun-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00413666.jpg,,,,,,,,,, +红花火绒草,Leontopodium roseum,茂汶组,2914,1959-6 4,四川省,1600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0143990.jpg,,,,,,,,,, +红花火绒草,Leontopodium roseum,陈善墉 何铸 钟明芳,5325,19580626,四川,2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719403218.jpg,,,,,,,,,, +,Leontopodium sinense,尹志坚,董洪进,向春雷,983,20090712,云南,2100,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512193.jpg,,,,,,,,,, +华火绒草,Leontopodium sinense,Roi,,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00037904.jpg,,,,,,,,,, +华火绒草,Leontopodium sinense,李洪钧,7280,,湖北省,700,山坡草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530067.jpg,,,,,,,,,, +银叶火绒草,Leontopodium souliei,T.P.Wang,7544,1937/8/18,甘肃,3700,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0023063.jpg,,,,,,,,,, +银叶火绒草,Leontopodium souliei,青甘队,2723,1960/6/27,青海,2800,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0168022.jpg,,,,,,,,,, +银叶火绒草,Leontopodium souliei,,L-87,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0000504.jpg,,,,,,,,,, +,Leontopodium stoechas var. stoechas,,,,,,,,,,,,,,,,,,, +匍枝火绒草,Leontopodium stoloniferum,Harry Smith,12191,19340917,四川省,2900,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530277.jpg,,,,,,,,,, +匍枝火绒草,Leontopodium stoloniferum,付筱,雷嘉卿,周雨阳,FLZ-B-12-18,20210531,四川,2019,路边,中生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02067380.jpg,,,,,,,,,, +匍枝火绒草,Leontopodium stoloniferum,D. E. Boufford et al.,29571,20000720,西藏自治区,3240,"Dry, open slope",,有花无果,https://image.cvh.ac.cn/files/l/PE/01882584.jpg,,,,,,,,,, +毛香火绒草,Leontopodium stracheyi,谢登峰、蔡竞、秦换换,CJ-007-A-020,20200920,四川,2846.37m,阔叶林和灌丛混生,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02061353.jpg,,,,,,,,,, +毛香火绒草,Leontopodium stracheyi,王启无,67216,19351000,云南省 ,2700,"River side,Crevice",,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495088.jpg,,,,,,,,,, +毛香火绒草,Leontopodium stracheyi,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201630,20200809,西藏,4278,干旱山坡上,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1553072.jpg,,,,,,,,,, +,Leontopodium subulatum var. subulatum,,,,,,,,,,,,,,,,,,, +亚灌木火绒草,Leontopodium suffruticosum,陈晓澄等,7084,20140816,西藏自治区,4240,矮灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00015521.jpg,,,,,,,,,, +川西火绒草,Leontopodium wilsonii,,2445,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530474.jpg,,,,,,,,,, +川西火绒草,Leontopodium wilsonii,邓姣姣、卫靜丽、刘常坤,DJJ-26-C-026,20200828,四川,3152.32m,马路旁撂荒地,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02061080.jpg,,,,,,,,,, +,Leontopodium wilsonii,杨光辉,55309,19570611,四川省,2400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530479.jpg,,,,,,,,,, +益母草,Leonurus japonicus,王康满、郭成勇、侯元免、张冠雄、王全贵,1501115,20150613,山东省,36.1,陆生,野生,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0015417.jpg,,,,,,,,,, +益母草,Leonurus japonicus,湿地植物采集队,4-46,20070731,北京市,500,生于多种生境,如山坡、道边等,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00051426.jpg,,,,,,,,,, +白花益母草,Leonurus japonicus,周全来,巴超群,刘桂材,2-769,20180725,内蒙古,526米,河岸边,,有花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0251658.jpg,,,,,,,,,, +錾菜,Leonurus pseudomacranthus,刘玉壶,1604,19480611,上海市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00785884.jpg,,,,,,,,,, +錾菜,Leonurus pseudomacranthus,,201,,浙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00785971.jpg,,,,,,,,,, +錾菜,Leonurus pseudomacranthus,k3-2,22553,20190828,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0022553.jpg,,,,,,,,,, +柔毛益母草,Leonurus villosissimus,不祥,43451,19590816,河北省,460,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/138470.jpg,,,,,,,,,, +柔毛益母草,Leonurus villosissimus,西藏中草药普查队,393,19720620,西藏自治区,3200,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/30145.jpg,,,,,,,,,, +鳞花草,Lepidagathis incurva,刘佳、刘逸嵘、潘嘉文、叶矾、张伟、张信坚,441225181123003LY,20181123,广东,30,野生,中生,阳性,亚高温植物,草本,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00235934.jpg,,,,,,,,,, +鳞花草,Lepidagathis incurva,,,,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC036054.jpg,,,,,,,,,, +鳞花草,Lepidagathis incurva,田东采集队,451022150411044LY,20150411,广西壮族自治区,231,阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0168711.jpg,,,,,,,,,, +独行菜,Lepidium apetalum,郑重,252,1963/6/25,河南省 ,,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0311711.jpg,,,,,,,,,, +独行菜,Lepidium apetalum,PE西藏考察队,7009,20180608,西藏自治区,3892,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02331776.jpg,,,,,,,,,, +独行菜,Lepidium apetalum,方艳,12,20040411,贵州省,1500,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01602917.jpg,,,,,,,,,, +头花独行菜,Lepidium capitatum,张国梁,1620,19640818,甘肃省,3550,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01055703.jpg,,,,,,,,,, +头花独行菜,Lepidium capitatum,生物研究所西藏考察队,4148,1974.8.2,新疆维吾尔自治区 ,4530,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00013658.jpg,,,,,,,,,, +头花独行菜,Lepidium capitatum,青藏队植被组,12380,19760829,,4800,山坡stipa草原中常见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00051416.jpg,,,,,,,,,, +,Lepidium chalepense,王忠涛等,89,20070622,新疆维吾尔自治区,713,村边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995592.jpg,,,,,,,,,, +,Lepidium chalepense,Richard R.Halse,8377,20100910,,339,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920179.jpg,,,,,,,,,, +,Lepidium chalepense,Licent,7033,19230715,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/TIE/00053548.jpg,,,,,,,,,, +楔叶独行菜,Lepidium cuneiforme,,s.n.,,陕西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01055840.jpg,,,,,,,,,, +楔叶独行菜,Lepidium cuneiforme,廉永善等,96412,19960808,甘肃省,1180,路边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01123068.jpg,,,,,,,,,, +楔叶独行菜,Lepidium cuneiforme,付坤俊 ,13849,1960/8/3,陕西省 ,820,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0161640.jpg,,,,,,,,,, +臭荠,Lepidium didymum,曾宪锋,ZXF15531,20141003,福建省,26,荒地,,,https://image.cvh.ac.cn/files/l/CZH/CZH0010092.jpg,,,,,,,,,, +臭独行菜,Lepidium didymum,李宏庆等,SDP08690,20120324,上海,,校园,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0065231.jpg,,,,,,,,,, +,Lepidium didymum,段林东,3076,20040407,湖南省,350,草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995533.jpg,,,,,,,,,, +宽叶独行形菜,Lepidium latifolium,"李振宇,范晓虹,傅连中等",12323,20120727,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005241.jpg,,,,,,,,,, +光果宽叶独行菜,Lepidium latifolium,K.S.Hao,3463,1932/6/22,河南省 ,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0004829.jpg,,,,,,,,,, +,Lepidium latifolium,黄学文,乌丽莎,Huangxw1868,20120824,内蒙古,563,湖岸沙地,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1300823.jpg,,,,,,,,,, +家独行菜,Lepidium sativum,,s.n.,19471210,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01124419.jpg,,,,,,,,,, +家独行菜,Lepidium sativum,黄长春、韦荣宝,13801,19850123,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0009436.jpg,,,,,,,,,, +,Lepidium sativum,张少华,王萍,张诏,李兰,李青,Lilan189,20100520,山东,100,麦田,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1236128.jpg,,,,,,,,,, +北美独行菜,Lepidium virginicum,C.M.Kuo etc.,1991,19850526,台湾省 ,0,,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0499239.jpg,,,,,,,,,, +北美独行菜,Lepidium virginicum,Tsui-Ya Liu with Hsiu-Lan Ho,600,19940528,福建省,20,Roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01781692.jpg,,,,,,,,,, +,Lepidium virginicum,吴宝成,HANGYY8133,20080412,江苏,18,落叶阔叶林平地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1236129.jpg,,,,,,,,,, +,Lepidostemon everestianus,,,,,,,,,,,,,,,,,,, +,Lepidostemon pedunculosus,,,,,,,,,,,,,,,,,,, +莲座鳞蕊芥,Lepidostemon rosularis,PE西藏考察队,7213,20180612,西藏自治区,4539,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331960.jpg,,,,,,,,,, +,Lepionurus sylvestris,R.E.Holltum,21019,19280413,,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/037993.jpg,,,,,,,,,, +鳞尾木,Lepionurus sylvestris,A.Henry,12804,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0386316.jpg,,,,,,,,,, +鳞尾木,Lepionurus sylvestris,中植联广西队,153,20080511,广西壮族自治区,250,石灰岩石山,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00279309.jpg,,,,,,,,,, +细蒴苣苔,Leptoboea multiflora,刘成,李欣,赵金超,杨红强,19CS18166,20190831,云南,1103,林缘山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506485.jpg,,,,,,,,,, +细蒴苣苔,Leptoboea multiflora,中越考察队,1635,19650124,,140,林下阴处,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00243530.jpg,,,,,,,,,, +细蒴苣苔,Leptoboea multiflora,H.Ohashi H.Kanai etc.,771828,19770731,Shemma,0,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0207574.jpg,,,,,,,,,, +,Leptodermis amoena,,,,,,,,,,,,,,,,,,, +,Leptodermis griffithii,,,,,,,,,,,,,,,,,,, +,Leptodermis hirsutiflora var. ciliata,,,,,,,,,,,,,,,,,,, +吉隆野丁香,Leptodermis kumaonensis,魏来 何毅,BNUXZ2016293,20160720,西藏,3400,路旁草丛,,,https://image.cvh.ac.cn/files/l/BNU/0027934.jpg,,,,,,,,,, +吉隆野丁香,Leptodermis kumaonensis,西藏中草药普查队,464,19720608,西藏自治区,2900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/81262.jpg,,,,,,,,,, +吉隆野丁香,Leptodermis kumaonensis,H.Ohashi et,771469,1977,,1200,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/359047.jpg,,,,,,,,,, +,Leptodermis lanceolata,胡君、王东超、李丽、唐露,SC-a-091-B02,20180814,西藏,,高山栎群落中,灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609637.jpg,,,,,,,,,, +,Leptodermis lanceolata,J.F.Duthie,,19000721,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU049061.jpg,,,,,,,,,, +,Leptodermis lanceolata,青藏队,635,19730709,西藏自治区,2100,山坡 杂木林下岩石上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00737929.jpg,,,,,,,,,, +,Leptodermis ludlowii,,,,,,,,,,,,,,,,,,, +薄皮木,Leptodermis oblonga,17K5-2,1952047,20190829,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0025249.jpg,,,,,,,,,, +薄皮木,Leptodermis oblonga, 吴金清,6059,20010425,重庆市,115,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0151266.jpg,,,,,,,,,, +薄皮木,Leptodermis oblonga,刘家宜,261,19760709,天津市,560,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00031243.jpg,,,,,,,,,, +大叶野丁香,Leptodermis parkeri,青藏队,6957,19750717,西藏自治区,3100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/49630.jpg,,,,,,,,,, +川滇野丁香,Leptodermis pilosa,禹平华,1314,1957/10/11,贵州,1500,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0207900.jpg,,,,,,,,,, +穗花野丁香,Leptodermis pilosa,张志英,17957,19780814,陕西省,720,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0445149.jpg,,,,,,,,,, +穗花野丁香,Leptodermis pilosa,张志英,680,19580909,甘肃省,920,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0445150.jpg,,,,,,,,,, +野丁香,Leptodermis potanini,钟树华,韦毅刚,88-046,19941004,广西壮族自治区,,石灰岩石山、山坡、少见,灌木,,https://image.cvh.ac.cn/files/l/IBK/IBK00319572.jpg,,,,,,,,,, +,Leptodermis potanini,"D.E.Boufford L.Y.Chen,X.H.Li & J.R.Shevock",42145,20100721,云南省,2520~2700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892175.jpg,,,,,,,,,, +野丁香,Leptodermis potanini,吴磊、刘静等,6308,20171020,广西,0,石灰岩山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI068118.jpg,,,,,,,,,, +粉绿野丁香,Leptodermis potanini var. glauca,青藏队,10867,19820928,西藏自治区,2700~2500,山坡灌丛中,,有果无花,https://image.cvh.ac.cn/files/l/KUN/334033.jpg,,,,,,,,,, +粉绿野丁香,Leptodermis potanini var. glauca,,21,19820518,云南省,1680,灌丛,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0001593.jpg,,,,,,,,,, +粉绿野丁香,Leptodermis potanini var. glauca,,475,19790524,四川,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM718501139.jpg,,,,,,,,,, +糙叶野丁香,Leptodermis scabrida,西藏队 黄荣福,1009,19790719,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/85611.jpg,,,,,,,,,, +薄叶野丁香,Leptodermis velutiniflora var. tenera,H.T.Tsai,52930,19330715,云南省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0508465.jpg,,,,,,,,,, +薄叶野丁香,Leptodermis velutiniflora var. tenera,张清龙,1824,19630816,四川省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0508462.jpg,,,,,,,,,, +帚状野丁香,Leptodermis virgata,刘慎谔,L.5899,19321112,河北省,788,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0508507.jpg,,,,,,,,,, +薄蒴草,Lepyrodiclis holosteoides,石普队,35,19790626,四川省,3300,草丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1223021.jpg,,,,,,,,,, +薄蒴草,Lepyrodiclis holosteoides,曹瑞,341,1982/7/29,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0007478.jpg,,,,,,,,,, +薄蒴草,Lepyrodiclis holosteoides,青藏队,76-8402,19760712,西藏自治区,3900,孔雀河滩草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00602003.jpg,,,,,,,,,, +绣球防风,Leucas ciliata,吴征镒,6172,19581124,缅甸,1300,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/216939.jpg,,,,,,,,,, +绣球防风,Leucas ciliata,张代贵,ZZ130818315,20130818,江西吉安,,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU58315.jpg,,,,,,,,,, +绣球防风,Leucas ciliata,尖峰林科所,98162,19600613,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/047353.jpg,,,,,,,,,, +线叶白绒草,Leucas lavandulifolia,李永亮等4人,YDDXS0457,20100903,云南,1178,干热河谷,岩石裸露,稀疏杂灌木林内林间空地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1388763.jpg,,,,,,,,,, +线叶白绒草,Leucas lavandulifolia,R. C. Ching,7600,19280922,广西壮族自治区,2000,"on open gray hillside, common",best herb,,https://image.cvh.ac.cn/files/l/IBK/IBK00341070.jpg,,,,,,,,,, +线叶白绒草,Leucas lavandulifolia,张娆挺,1430,198705,福建省,,海堤泥沙上,草本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/004827.jpg,,,,,,,,,, +疏毛白绒草,Leucas mollissima,吴金清,马晓业,8070,20051102,湖北,,田边,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0181378.jpg,,,,,,,,,, +疏毛白绒草,Leucas mollissima,胡启明,63,19560917,湖北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00090712.jpg,,,,,,,,,, +,Leucas mollissima,K.K.CHUNG,0,19191119,广东,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0047860.jpg,,,,,,,,,, +米团花,Leucosceptrum canum,青藏队,6049,19750628,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/033744.jpg,,,,,,,,,, +米团花,Leucosceptrum canum,建水县普查队,5325240098,20190325,云南,1264,林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1524791.jpg,,,,,,,,,, +米团花,Leucosceptrum canum,中越考察队,71,19641207,老宁,1600~1550,路边林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/217170.jpg,,,,,,,,,, +尖基木藜芦,Leucothoe griffithiana,H.T.Tsai,54467,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0446354.jpg,,,,,,,,,, +尖基木藜芦,Leucothoe griffithiana,海仙、方震东、刘琳、马宗灵,FW2009-056,20090402,云南省,2610,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001613.jpg,,,,,,,,,, +尖基木藜芦,Leucothoe griffithiana,李渤生,7171,19830830,西藏自治区,0,林缘,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0002887.jpg,,,,,,,,,, +绵毛鬼吹箫,Leycesteria stipulata,和旭、白洪兵,533324180514205LY,20180514,云南,2128,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009641.jpg,,,,,,,,,, +绵毛鬼吹箫,Leycesteria stipulata,方震东、张晓均、陈清、袁再杰,DJDC-298,20160417,云南省,1911,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 007764.jpg,,,,,,,,,, +绵毛鬼吹箫,Leycesteria stipulata,B.Barhtolomew et D.E.Boufford,3930,19860406,,2050,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01212535.jpg,,,,,,,,,, +岩风,Libanotis buchtormensis,周鹤昌,679,19340501,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0075637.jpg,,,,,,,,,, +岩风,Libanotis buchtormensis,陈晓亚 谢权中,88009,19880600,新疆维吾尔自治区,0~1400,,,有花有果,https://image.cvh.ac.cn/files/l/N/121228528_1.jpg,,,,,,,,,, +岩风,Libanotis buchtormensis,秦仁昌,2208,1956-8 1,新疆维吾尔族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102303.jpg,,,,,,,,,, +地岩风,Libanotis depressa,周太炎等,652067,19650808,新疆维吾尔自治区,2140,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00034372.jpg,,,,,,,,,, +地岩风,Libanotis depressa,南水北调队,2439,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00031030.jpg,,,,,,,,,, +地岩风,Libanotis depressa,T.N.Ho(HNWP)等,2824,19960903,青海省,4000~4100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286041.jpg,,,,,,,,,, +,Ligularia alatipes,"Forrest, George",2853,,,,,,,https://image.cvh.ac.cn/files/l/E/E00417048.jpg,,,,,,,,,, +翅柄橐吾,Ligularia alatipes,朱太平,218,19581005,云南省,2400,山间沼泽地,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00501944.jpg,,,,,,,,,, +翅柄橐吾,Ligularia alatipes,何廷农,1341,19891012,云南,3700,山坡竹林草丛中,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027395.jpg,,,,,,,,,, +帕米尔橐吾,Ligularia alpigena,塔里木大学资源调查组,TD-01363,20070730,新疆,2284米,高山草甸,草本,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU01151.jpg,,,,,,,,,, +帕米尔橐吾,Ligularia alpigena,西植新疆队,1193,19780707,新疆维吾尔自治区,,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01564507.jpg,,,,,,,,,, +帕米尔橐吾,Ligularia alpigena,关克俭,2128,19570721,新疆维吾尔自治区 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0605898.jpg,,,,,,,,,, +阿勒泰橐吾,Ligularia altaica,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20025562.jpg,,,,,,,,,, +阿勒泰橐吾,Ligularia altaica,H.T.Tsai,58004,19340818,云南省 ,0~4000,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0605901.jpg,,,,,,,,,, +阿勒泰橐吾,Ligularia altaica,龙庆德、李启瑞,52263120181018206LY,20181018,贵州,333.1,草丛、中生、阳性、亚高温、酸性土、野生植物,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0101501.jpg,,,,,,,,,, +,Ligularia amplexicaulis,"陈又生,张树仁,于胜祥,卫然",202,20111009,西藏自治区,3430,山谷林缘岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111481.jpg,,,,,,,,,, +抱茎囊吾,Ligularia amplexicaulis,魏来、何毅,BNUXZ2016210,20160719,西藏,3750~3850,山坡,,,https://image.cvh.ac.cn/files/l/BNU/0028166.jpg,,,,,,,,,, +,Ligularia amplexicaulis,M.Tateno etc.,9920061,19990809,,4100,rocky places stream sides,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220038.jpg,,,,,,,,,, +亚东橐吾,Ligularia atkinsonii,"张永田,郞楷永",4334,19660621,西藏自治区,3500,水沟边潮湿处散生,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530613.jpg,,,,,,,,,, +,Ligularia atroviolacea,王乾、顾健,SCW0808,20190822,四川,4242,湿地,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0266455.jpg,,,,,,,,,, +黑紫橐吾,Ligularia atroviolacea,永胜县中药资源普查队,5307220613,20120922,云南省,2788,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0018699.jpg,,,,,,,,,, +四川新分布,Ligularia atroviolacea,高信芬,鞠文彬,郑臣臣,THP-KD-5664,20170807,四川省,3682,上子梅村至贡嘎寺林中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252581.jpg,,,,,,,,,, +,Ligularia botryodes,彭玉兰、涂卫国、幸福,Gaoxf0123,20080715,四川,3860,坡地路旁,直立草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0204388.jpg,,,,,,,,,, +总状橐吾,Ligularia botryodes,白龙江考察队,771,19980726,甘肃省,2700,山地 山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537089.jpg,,,,,,,,,, +总状橐吾,Ligularia botryodes,陕西省中草药普查队,1730,19700824,陕西省,,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH015697.jpg,,,,,,,,,, +芥形橐吾,Ligularia brassicoides,李馨,71407,19570610,四川省,2800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530632.jpg,,,,,,,,,, +芥形橐吾,Ligularia brassicoides,余岩、粟美好,2021234,20200718,四川,4020,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02021234.jpg,,,,,,,,,, +黄亮橐吾,Ligularia caloxantha,E.E.Maire,1049,19130000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0605911.jpg,,,,,,,,,, +黄亮橐吾,Ligularia caloxantha,青藏队,12040,19760627,西藏自治区,4300,山峪湿地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/822834.jpg,,,,,,,,,, +黄亮橐吾,Ligularia caloxantha,赵清盛、何明友,118130,1983-9 9,四川省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0151289.jpg,,,,,,,,,, +灰苞橐吾,Ligularia chalybea,"杨亲二,孔宏智",98-377,19980910,云南省,4300,水边潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776538.jpg,,,,,,,,,, +灰苞橐吾,Ligularia chalybea,赵清盛,6421,1978-8 4,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172364.jpg,,,,,,,,,, +长毛橐吾,Ligularia changiana,,57600,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495535.jpg,,,,,,,,,, +毛叶橐吾,Ligularia chimiliensis,张建文,董金龙,刘常周,张永增,SunH-07ZX-2380,20090917,云南,4480,杜鹃灌丛,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1436670.jpg,,,,,,,,,, +缅甸橐吾,Ligularia chimiliensis,C.W.Wang,64642,19350700,云南省,3500,,Herbs,无花有果,https://image.cvh.ac.cn/files/l/NKU/NK 011780.jpg,,,,,,,,,, +缅甸橐吾,Ligularia chimiliensis,陈晓澄等,Chenxc-183,20170831,西藏,3704,公路边阳坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018070.jpg,,,,,,,,,, +,Ligularia confertiflora,"Forrest, George",28921,,,,,,,https://image.cvh.ac.cn/files/l/E/E00499841.jpg,,,,,,,,,, +密花橐吾,Ligularia confertiflora,青藏队,14256,19830924,四川省,4000,宽谷,高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111106.jpg,,,,,,,,,, +密花橐吾,Ligularia confertiflora,"杨亲二,孔宏智",98-118,19980824,云南省,,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01717295.jpg,,,,,,,,,, +垂头橐吾,Ligularia cremanthodioides,宋鼎;刘敏;魏定名;杨龙斌;李双斌;张桥蓉,CN276,20190221,云南,2615,山顶草丛中,一年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1551022.jpg,,,,,,,,,, +垂头橐吾,Ligularia cremanthodioides,"程树志,李渤生",100,19820815,西藏自治区,4000,高山杂类草甸,流水石砾坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01564516.jpg,,,,,,,,,, +垂头橐吾,Ligularia cremanthodioides,俞德浚,12678,19370807,云南省,3600,in ravine under woods,,有花无果,https://image.cvh.ac.cn/files/l/KUN/822854.jpg,,,,,,,,,, +楔舌橐吾,Ligularia cuneata,西藏中草药普查队,227,19720613,西藏自治区,3750,山地水沟边,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00531652.jpg,,,,,,,,,, +,Ligularia curvisquama,"Forrest, George",14572,17-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00499840.jpg,,,,,,,,,, +弯苞橐吾,Ligularia curvisquama,王启无,69580,19350900,云南省,,3500,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495555.jpg,,,,,,,,,, +弯苞橐吾,Ligularia curvisquama,C.W.Wang,69580,1935/09/,云南,3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0048290.jpg,,,,,,,,,, +浅苞橐吾,Ligularia cyathiceps,"林业部,林型组",s.n.,19550000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530656.jpg,,,,,,,,,, +浅苞橐吾,Ligularia cyathiceps,"陈又生,毕延超",11-177,20110818,西藏自治区,3984,草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/02001997.jpg,,,,,,,,,, +,Ligularia cyathiceps,"Forrest, George",30430,,,,,,,https://image.cvh.ac.cn/files/l/E/E00502120.jpg,,,,,,,,,, +舟叶橐吾,Ligularia cymbulifera,何廷农,1269,19890929,云南,3950,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027400.jpg,,,,,,,,,, +舟叶橐吾,Ligularia cymbulifera,FLPH Tibet Expedition,12-2011,,西藏自治区,3000~3300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967137.jpg,,,,,,,,,, +舟叶橐吾,Ligularia cymbulifera,郭本兆 王为义,23589,19770910,四川省,4100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/68217.jpg,,,,,,,,,, +聚伞橐吾,Ligularia cymosa,"郎楷永,李良千,费勇",900,19820801,四川省,3500~3750,高山 栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01535667.jpg,,,,,,,,,, +齿叶橐吾,Ligularia dentata,张韻冰,韦植,39,19860821,浙江省,1600,高山草原,草本,,https://image.cvh.ac.cn/files/l/ZM/ZMNH0041158.jpg,,,,,,,,,, +齿叶橐吾,Ligularia dentata,未详,未详,19820800,湖北,,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027393.jpg,,,,,,,,,, +齿叶橐吾,Ligularia dentata,山西队,2552,1984/7/21,山西,1700,,草本、直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0465531.jpg,,,,,,,,,, +网脉橐吾,Ligularia dictyoneura,何廷农,1226,19890926,云南,3300,半阴坡水边,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027398.jpg,,,,,,,,,, +,Ligularia dictyoneura,鞠文彬,高云东,杨焰,THP-KD-1866,20170716,四川,3147,路边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241188.jpg,,,,,,,,,, +网脉橐吾,Ligularia dictyoneura,方震东、刘琳、李红、和光、史小武、赵卫东、陈洁,K-1249,20020924,云南省,3670,清溪杨高山栎混交林,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 007055.jpg,,,,,,,,,, +盘状橐吾,Ligularia discoidea,"张挺, 刘成, 亚吉东",18CS17725,20180917,西藏,3604,路边山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487416.jpg,,,,,,,,,, +盘状橐吾,Ligularia discoidea,青藏队补点,751104,19750802,西藏自治区,4360,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/51722.jpg,,,,,,,,,, +,Ligularia duciformis,"Potanin, G.N.",,1893-8-9,,,,,,https://image.cvh.ac.cn/files/l/P/P03751315.jpg,,,,,,,,,, +大黄橐吾,Ligularia duciformis,学生,10093,19900705,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/SXU/00023378.jpg,,,,,,,,,, +大黄橐吾,Ligularia duciformis,白龙江考察队,550,19980721,甘肃省,,山地 水旁 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537078.jpg,,,,,,,,,, +小紫花橐吾,Ligularia dux,"陈又生,王泽欢",9344,20090808,西藏自治区,3395~3636,under foresrt or beside forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052080.jpg,,,,,,,,,, +小紫花橐吾,Ligularia dux,黄荣福,CG-89-455,19890912,西藏,4400,山口灌丛草地,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027757.jpg,,,,,,,,,, +,Ligularia dux var. dux,,,,,,,,,,,,,,,,,,, +小紫花橐吾,Ligularia dux var. minima,黄荣福,CG-89-455,19890912,西藏,4400,山口灌丛草地,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027757.jpg,,,,,,,,,, +小紫花橐吾,Ligularia dux var. minima,生物研究所西藏考察队,1797,19730807,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/38999.jpg,,,,,,,,,, +,Ligularia euryphylla,,,,,,,,,,,,,,,,,,, +蹄叶橐吾,Ligularia fischeri,,1021,,湖南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0605954.jpg,,,,,,,,,, +蹄叶橐吾,Ligularia fischeri,谭策铭,9610099,19901017,江西省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00020162.jpg,,,,,,,,,, +蹄叶橐吾,Ligularia fischeri,陈彬,CB07635,20151030,安徽省,1050.86,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0106400.jpg,,,,,,,,,, +隐舌橐吾,Ligularia franchetiana,鞠文彬,张良,陈德奎,AZH01457,20160618,四川,2969,溪边林缘,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253575.jpg,,,,,,,,,, +,Ligularia franchetiana,"Maire, E.E.",s.n.,12-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00413247.jpg,,,,,,,,,, +隐舌橐吾,Ligularia franchetiana,K.M.Feng,2102,19390820,云南省,,山坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/00530876.jpg,,,,,,,,,, +粗茎橐吾,Ligularia ghatsukupa,和光、马剑,D-085,20040715,云南省,4600,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002748.jpg,,,,,,,,,, +粗茎橐吾,Ligularia ghatsukupa,郝加琛,XZ14396,20140720,西藏自治区,3700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0039168.jpg,,,,,,,,,, +粗茎橐吾,Ligularia ghatsukupa,"张挺, 刘成, 亚吉东",18CS17697,20180916,西藏,4015,垂枝柏,小蘗山坡灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1487402.jpg,,,,,,,,,, +椭圆叶囊吾,Ligularia hodgsonii,杨人俊,杨人俊B1528,19570700,黑龙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF005762.jpg,,,,,,,,,, +鹿蹄橐吾,Ligularia hodgsonii,李伯清,1330,19570820,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719403328.jpg,,,,,,,,,, +鹿蹄橐吾,Ligularia hodgsonii,张代贵,4331221510200635LY,20151020,湖南省,173.2,草丛,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU30793.jpg,,,,,,,,,, +细茎橐吾,Ligularia hookeri,T.P.Wang,9899,19381018,四川,1200,Place in valley,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831814.jpg,,,,,,,,,, +细茎橐吾,Ligularia hookeri,,19,19770816,甘肃,,,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093389.jpg,,,,,,,,,, +,Ligularia hookeri,G.Forrest,26982,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606040.jpg,,,,,,,,,, +大头橐吾,Ligularia japonica,赵万义,丁巧玲,张信坚,LXP-13-16945,20160519,江西省吉安市,,山谷、腐殖土、疏林、偶见种,陆生、草本、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00181650.jpg,,,,,,,,,, +大头橐吾,Ligularia japonica,刘守炉,姚淦,王希蕖,1040,19630506,江西省,,溪边草丛中,直立草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495606.jpg,,,,,,,,,, +大头橐吾,Ligularia japonica,高锡朋,50058,19300224,广东,,road side,herb,有花无果,https://image.cvh.ac.cn/files/l/SN/SN004802.jpg,,,,,,,,,, +,Ligularia kanaitzensis var. kanaitzensis,,,,,,,,,,,,,,,,,,, +,Ligularia kangtingensis,彭玉兰、涂卫国、幸福,Gaoxf382,20080720,四川,4069,,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0204476.jpg,,,,,,,,,, +康定橐吾,Ligularia kangtingensis,熊耀国,6319,19470000,江西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/LBG/00036102.jpg,,,,,,,,,, +康定橐吾,Ligularia kangtingensis,"蒋兴麟,熊济华",36535,19530806,四川省,3980,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531299.jpg,,,,,,,,,, +,Ligularia konkalingensis,"龚洵, 潘跃芝, 湛青青",PG090945,20090923,四川,3600,草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1452667.jpg,,,,,,,,,, +,Ligularia lagotis,,,,,,,,,,,,,,,,,,, +沼生橐吾,Ligularia lamarum,尹志坚,董洪进,向春雷,YDX1232,20090715,云南,3600,"forest margins,roadside",,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0208126.jpg,,,,,,,,,, +沼生橐吾,Ligularia lamarum,,5438,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495569.jpg,,,,,,,,,, +沼生橐吾,Ligularia lamarum,"D.E.Boufford, B.Bartholomew, D.A.Eaton, X.H.Li, R.",41886,20090804,西藏,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026703.jpg,,,,,,,,,, +藏橐吾,Ligularia lancifera,刘尚武,3514,19880827,西藏,4200,湖边,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027947.jpg,,,,,,,,,, +,Ligularia lankongensis,青藏补点组,751101,19750802,西藏自治区,4360,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/823117.jpg,,,,,,,,,, +洱源橐吾,Ligularia lankongensis,龚洵、潘跃芝、湛青青,PG090923,20090922,云南,3036,路边草丛,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1439967.jpg,,,,,,,,,, +洱源橐吾,Ligularia lankongensis,杨亚滨,7307,1978-7 1,四川省,3350,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0146123.jpg,,,,,,,,,, +未详,Ligularia latiligulata,黄荣福,CG-89-695,19891012,西藏,4300,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027699.jpg,,,,,,,,,, +,Ligularia latipes,王乾、顾健,SCW1487,20200623,四川,3856.8,高山灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274197.jpg,,,,,,,,,, +阔柄橐吾,Ligularia latipes,,8796,19750819,四川省,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01564966.jpg,,,,,,,,,, +,Ligularia lhunzensis,"Y.S.Chen,Z.Y.Chang et al.",13-0532,20130806,西藏自治区,3411,山谷灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053021.jpg,,,,,,,,,, +,Ligularia liatroides,"Rock, Joseph Francis Charles",16792,28-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00499851.jpg,,,,,,,,,, +缘毛橐吾,Ligularia liatroides,T.N.Ho(HNWP)等,2021,19960818,青海省,0~3700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286569.jpg,,,,,,,,,, +缘毛橐吾,Ligularia liatroides,F.T.Wang,21504,1930/6/29,四川,4100,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0329741.jpg,,,,,,,,,, +丽江橐吾,Ligularia lidjiangensis,俞德浚,1559,19370911,云南省,2600,Mt.grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/823185.jpg,,,,,,,,,, +丽江橐吾,Ligularia lidjiangensis,罗亚皇,YMT2600-3-1084,20140827,云南,2735,华山松-云南松林,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1434454.jpg,,,,,,,,,, +君范橐吾,Ligularia lingiana,赵清盛,8294,1978-8 2,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172369.jpg,,,,,,,,,, +,Ligularia longifolia,"Henry, Augustine",12961,,,,,,,https://image.cvh.ac.cn/files/l/E/E00417068.jpg,,,,,,,,,, +长叶橐吾,Ligularia longifolia,伍凯,郝加琛,YN347,20130814,云南省,3600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0029732.jpg,,,,,,,,,, +长叶橐吾,Ligularia longifolia,何铸,唐世贵,李伯清,11442,19580903,四川省,,斜坡上多,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495423.jpg,,,,,,,,,, +长戟橐吾,Ligularia longihastata,T.T.Yu,19807,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531344.jpg,,,,,,,,,, +大齿橐吾,Ligularia macrodonta,"Zhu, Chen, Xu,Wang",1989,19990810,陕西省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01564608.jpg,,,,,,,,,, +大齿橐吾,Ligularia macrodonta,W.Y.Hsia,8454,1940/9/5,甘肃,2600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0067937.jpg,,,,,,,,,, +大齿橐吾,Ligularia macrodonta,T.P.Wang,6026,19360309,青海省,3800,near hill streams on high summit,"herb,erect",有花无果,https://image.cvh.ac.cn/files/l/PE/00030060.jpg,,,,,,,,,, +黑苞橐吾,Ligularia melanocephala,方震东,S-56,20021014,云南省 ,3400,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 008010.jpg,,,,,,,,,, +黑苞橐吾,Ligularia melanocephala,龚洵、潘跃芝、湛青青,PG090916,20090921,云南,3800,草甸,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1439969.jpg,,,,,,,,,, +黑苞橐吾,Ligularia melanocephala,方震东,S-28,20020928,云南省,3400,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 008011.jpg,,,,,,,,,, +,Ligularia melanothyrsa,J. F. Rock,16724II,28-Jul,,4300,,,,https://image.cvh.ac.cn/files/l/HUH/GH00125142.jpg,,,,,,,,,, +黑穗橐吾,Ligularia melanothyrsa,不祥,22384,19590713,云南省,3250,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/45418.jpg,,,,,,,,,, +黑穗橐吾,Ligularia melanothyrsa,四川植被队,13737,1976-7 1,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0146169.jpg,,,,,,,,,, +心叶橐吾,Ligularia microcardia,植被组,31304,1983-7 2,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0146377.jpg,,,,,,,,,, +心叶橐吾,Ligularia microcardia,郭先林、许新锐,2041086,20200720,四川,4686,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02041086.jpg,,,,,,,,,, +心叶橐吾,Ligularia microcardia,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191377,20190920,云南,3476,亚热带针阔混交林,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484581.jpg,,,,,,,,,, +小头橐吾,Ligularia microcephala,"杨亲二,孔宏智",98-352,19980910,云南省,4300,山边潮湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01564617.jpg,,,,,,,,,, +小头橐吾,Ligularia microcephala,T.T.Yu,9034,19370715,云南,4000,Mt grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831178.jpg,,,,,,,,,, +,Ligularia microcephala,"Handel-Mazzetti, Heinrich",4735,11-Aug-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00414055.jpg,,,,,,,,,, +,Ligularia mortonii,,,,,,,,,,,,,,,,,,, +,Ligularia muliensis,鞠文彬,高云东,杨焰,THP-KD-1876,20170716,四川省,3226,林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252914.jpg,,,,,,,,,, +,Ligularia muliensis,"Rock, J.F.",16683,28-Jul,,,,,,https://image.cvh.ac.cn/files/l/P/P04104565.jpg,,,,,,,,,, +木里橐吾,Ligularia muliensis,王启无,65555,19350800,云南省 ,0~3500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606145.jpg,,,,,,,,,, +千花橐吾,Ligularia myriocephala,陈晓澄等,6429,20140809,西藏自治区,2890,灌木林,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00015264.jpg,,,,,,,,,, +莲叶橐吾,Ligularia nelumbifolia,刘家宜,10193,19810818,山西省,2485,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00036610.jpg,,,,,,,,,, +莲叶橐吾,Ligularia nelumbifolia,邓世纬,90408,,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00024204.jpg,,,,,,,,,, +,Ligularia nelumbifolia,"Bonvalot, P.G.E.",,,,,,,,https://image.cvh.ac.cn/files/l/P/P00836356.jpg,,,,,,,,,, +林芝橐吾,Ligularia nyingchiensis,FLPH Tibet Expedition,12-1981,,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967543.jpg,,,,,,,,,, +,Ligularia nyingchiensis,高信芬、涂卫国、何海、乔永康,7719,20030922,西藏,2500,林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190993.jpg,,,,,,,,,, +马蹄叶橐吾,Ligularia odontomanes,王清泉,20499,1979-7 1,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0146184.jpg,,,,,,,,,, +马蹄叶橐吾,Ligularia odontomanes,海仙,谢爱芳,HX2008-113,20080722,云南省,3378,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005409.jpg,,,,,,,,,, +马蹄叶橐吾,Ligularia odontomanes,6组,130828130814006LY,20130814,河北省,1443,草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/HBNU/HBNU20002023.jpg,,,,,,,,,, +,Ligularia oligonema,Monbeig (Père),147,1907,,,,,,https://image.cvh.ac.cn/files/l/E/E00413250.jpg,,,,,,,,,, +疏舌橐吾,Ligularia oligonema,俞德浚,13279,19370911,四川省,3900,side of mt stream,,有花无果,https://image.cvh.ac.cn/files/l/KUN/824439.jpg,,,,,,,,,, +疏舌橐吾,Ligularia oligonema,Y.Tsiang,11493,19330819,云南省 ,3200,in open ravine,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495432.jpg,,,,,,,,,, +,Ligularia petiolaris,PE西藏队,PE5885,20170905,西藏自治区,3020~3460,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890407.jpg,,,,,,,,,, +,Ligularia phaenicochaeta,"Delavay, J.M.",2191,1886-8-13,,,,,,https://image.cvh.ac.cn/files/l/P/P00723323.jpg,,,,,,,,,, +紫缨橐吾,Ligularia phaenicochaeta,何廷农,1349,19891013,云南,4300,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027402.jpg,,,,,,,,,, +紫缨橐吾,Ligularia phoenicochaeta,吴征镒等,21625,,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531635.jpg,,,,,,,,,, +紫缨橐吾,Ligularia phoenicochaeta,J.F.Rock,23175,193205,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/732845.jpg,,,,,,,,,, +,Ligularia platyglossa,"Delavay, J.M.",3208,1888-8-31,,,,,,https://image.cvh.ac.cn/files/l/P/P01817672.jpg,,,,,,,,,, +宽舌橐吾,Ligularia platyglossa,四川药源普查队,25796,19600816,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495581.jpg,,,,,,,,,, +宽舌橐吾,Ligularia platyglossa,Y.Tsiang,11529,19330821,云南省 ,2500,on open slopes,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495439.jpg,,,,,,,,,, +,Ligularia platyphylla,J. F. Rock,16792,28-Aug,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00009798.jpg,,,,,,,,,, +缘毛橐吾,Ligularia platyphylla,陈晓澄等,6692,20140812,西藏自治区,2874,混合林上滩地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00015629.jpg,,,,,,,,,, +侧茎橐吾,Ligularia pleurocaulis,G.Forrest,13205,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606167.jpg,,,,,,,,,, +侧茎橐吾,Ligularia pleurocaulis,,44-0959,19600800,重庆市,3770,谷中陆地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01796908.jpg,,,,,,,,,, +侧茎橐吾,Ligularia pleurocaulis,四川药源普查队,22425,19600731,四川省,4100,山坡上竹丛中向阳处,竹本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00501782.jpg,,,,,,,,,, +浅齿橐吾,Ligularia potaninii,F.Rock,12998,,甘肃省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606180.jpg,,,,,,,,,, +浅齿橐吾,Ligularia potaninii,谢登峰、蔡竞、秦换换,SC-00-022-A-026,20200823,四川,3805.6m,灌丛草原,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02061456.jpg,,,,,,,,,, +浅齿橐吾,Ligularia potaninii,陈又生,9655,20090829,四川省,4625,湿草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053270.jpg,,,,,,,,,, +掌叶橐吾,Ligularia przewalskii,未详,Ⅲ2583,19590820,河北,1600,草地、阳处,草本、直立,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027932.jpg,,,,,,,,,, +掌叶橐吾,Ligularia przewalskii,未详,3799,19720714,西藏,3700,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027670.jpg,,,,,,,,,, +掌叶橐吾,Ligularia przewalskii,马毓泉 吴庆如,11,19650817,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0029234.jpg,,,,,,,,,, +,Ligularia pseudolamarum,,,,,,,,,,,,,,,,,,, +,Ligularia pterodonta,"Forrest, George",28837,,,,,,,https://image.cvh.ac.cn/files/l/E/E00430090.jpg,,,,,,,,,, +宽翅橐吾,Ligularia pterodonta,刘慎谔,21293,19461005,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01564973.jpg,,,,,,,,,, +,Ligularia pubifolia,"应俊生,洪德元",650942,19650822,西藏自治区,3600,灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00531637.jpg,,,,,,,,,, +褐毛橐吾,Ligularia purdomii,吴玉虎,32031,20040806,甘肃,3330,河滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027973.jpg,,,,,,,,,, +褐毛橐吾,Ligularia purdomii,何廷农、刘尚武、卢学峰、陈世龙等,702,20000707,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00014226.jpg,,,,,,,,,, +褐毛橐吾,Ligularia purdomii,吴玉虎,26523,20030731,青海,3900,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027974.jpg,,,,,,,,,, +黑毛橐吾,Ligularia retusa,俞德浚,10785,19371126,云南省,4100,"in valley,marshy place",,有果无花,https://image.cvh.ac.cn/files/l/KUN/824530.jpg,,,,,,,,,, +黑毛橐吾,Ligularia retusa,陈立同、田新民,Ljq07152,20070914,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/00002906.jpg,,,,,,,,,, +黑毛橐吾,Ligularia retusa,郭本兆、王为义,22645,19770816,西藏,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027952.jpg,,,,,,,,,, +,Ligularia rockiana,J. F. Rock,17167,28-Aug,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00009800.jpg,,,,,,,,,, +独舌橐吾,Ligularia rockiana,J.F.Rock,22730,193205,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/824538.jpg,,,,,,,,,, +独舌橐吾,Ligularia rockiana,张超 ,20071007,20070623,四川省,2100,,草本,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/017709.jpg,,,,,,,,,, +,Ligularia ruficoma,"Delavay, J.M.",,,,,,,,https://image.cvh.ac.cn/files/l/P/P00836386.jpg,,,,,,,,,, +节毛橐吾,Ligularia ruficoma,王启无,68537,19350800,云南省,3600,Mountain slope,herbs,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495672.jpg,,,,,,,,,, +藏橐吾,Ligularia rumicifolia,香格里拉大峡谷考察队,S10G57,20020630,云南省,3330,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002756.jpg,,,,,,,,,, +藏橐吾,Ligularia rumicifolia,路端正,20010821,20010821,西藏自治区,4300,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005379.jpg,,,,,,,,,, +藏橐吾,Ligularia rumicifolia,路端正,,20010821,西藏,4300,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005381.jpg,,,,,,,,,, +黑龙江橐吾,Ligularia sachalinensis,赵一之,201,19830801,内蒙古自治区,880,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0029238.jpg,,,,,,,,,, +黑龙江橐吾,Ligularia sachalinensis,秦岭调查队,515,19560805,陕西省,2800,道旁,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00389864.jpg,,,,,,,,,, +黑龙江橐吾,Ligularia sachalinensis,王大兴,1345,19500515,辽宁省,800,,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495670.jpg,,,,,,,,,, +箭叶橐吾,Ligularia sagitta,宁夏中草药组,2-0279,1972/7/17,宁夏,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0293444.jpg,,,,,,,,,, +箭叶橐吾,Ligularia sagitta,地植物组,3105,19620730,青海,3000,江滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824006.jpg,,,,,,,,,, +箭叶橐吾,Ligularia sagitta,甘南草原调查队,737,19640722,甘肃,2100,灌木丛山坡,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093403.jpg,,,,,,,,,, +,Ligularia secunda,,,,,,,,,,,,,,,,,,, +,Ligularia stenocephala var. stenocephala,,,,,,,,,,,,,,,,,,, +裂舌橐吾,Ligularia stenoglossa,王汉臣,4498,19450800,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606250.jpg,,,,,,,,,, +裂舌橐吾,Ligularia stenoglossa,X.H.Jin et al.,DLJ-ET 3466,20080720,西藏自治区,,conifer forest.,,有花无果,https://image.cvh.ac.cn/files/l/PE/02053182.jpg,,,,,,,,,, +裂舌橐吾,Ligularia stenoglossa,龚洵,潘跃芝,湛青青,PG090978,20090928,云南,3040,林下,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1435139.jpg,,,,,,,,,, +,Ligularia subspicata,高云东,邓亨宁,黎怀成,THP-KD-2128,20170805,四川省,3600~4000,力邱河保护站至莲花湖,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252600.jpg,,,,,,,,,, +,Ligularia subspicata,"Bonvalot, P.G.E.",,,,,,,,https://image.cvh.ac.cn/files/l/P/P00836391.jpg,,,,,,,,,, +穗序橐吾,Ligularia subspicata,刘琳,和凤军,zhwy-50,20090824,云南省,3378,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 004901.jpg,,,,,,,,,, +唐古特橐吾,Ligularia tangutorum,何廷农、刘尚武、卢学峰、陈世龙等,553,20000630,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00014322.jpg,,,,,,,,,, +唐古特橐吾,Ligularia tangutorum,未详,B0200,19570701,陕西,2620,河边山?灌木下,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027888.jpg,,,,,,,,,, +唐古特橐吾,Ligularia tangutorum,J.F.Rock,12633,19250700,甘肃省,,meadows & forests west of Adjuan,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495615.jpg,,,,,,,,,, +,Ligularia tenuicaulis,高信芬、涂卫国、何海、乔永康,7553,20030920,西藏自治区,3300,冷杉林下,草本,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190879.jpg,,,,,,,,,, +,Ligularia tenuicaulis,"李渤生,倪志诚,程树志",6024,19830729,西藏,3600~4000,Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831219.jpg,,,,,,,,,, +纤细橐吾,Ligularia tenuicaulis,中日队,1687,19940802,云南省,2000~1900,常绿阔叶林中,,有果无花,https://image.cvh.ac.cn/files/l/KUN/353329.jpg,,,,,,,,,, +露珠草,Ligularia tongkyukensis,李春燕,BJTC008942,20190703,北京市,818,山坡路边,草本,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008942.jpg,,,,,,,,,, +东久橐吾,Ligularia tongkyukensis,"程树志,李渤生",7066,19830823,西藏自治区,3700,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01796964.jpg,,,,,,,,,, +东久橐吾,Ligularia tongkyukensis,胡君,王东超,李丽,李奥奥,曾思源,黄欣,SC-a-004-B18,20160729,四川省,3787,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610212.jpg,,,,,,,,,, +东俄洛橐吾,Ligularia tongolensis,张相宜、成瑞瑜、郭泳棂,SC-Z-00-25-051,20200921,四川,3618,山坡草场,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02061172.jpg,,,,,,,,,, +,Ligularia tongolensis,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-028-B54,20160810,云南,3413,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262180.jpg,,,,,,,,,, +东俄洛橐吾,Ligularia tongolensis,黄天俊,60-2036,19600729,四川省,3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495605.jpg,,,,,,,,,, +横叶橐吾,Ligularia transversifolia,,,19630000,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/072783.jpg,,,,,,,,,, +苍山橐吾,Ligularia tsangchanensis,生物所西藏队,551B,19730608,西藏,3400,山谷草地,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027964.jpg,,,,,,,,,, +苍山橐吾,Ligularia tsangchanensis,何廷农,1340,19891013,云南,3700,草坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027961.jpg,,,,,,,,,, +苍山橐吾,Ligularia tsangchanensis,海仙,刘景欣,李红,肖茂荣,HB2007-5498,20071005,云南省,3480,小檗群落,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 004681.jpg,,,,,,,,,, +离舌橐吾,Ligularia veitchiana,李洪钧,8202,19581027,湖北省,1180~1200,山坡杂木林中,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00501863.jpg,,,,,,,,,, +离舌橐吾,Ligularia veitchiana,乔英林,1520,1959/7/17,陕西,2300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0133668.jpg,,,,,,,,,, +离舌橐吾,Ligularia veitchiana,姜在民 杜诚 刘培亮等,1808,2010/8/8,甘肃省,2400~2600,路旁林下,,有花无果,https://image.cvh.ac.cn/files/l/WUK/520004.jpg,,,,,,,,,, +,Ligularia vellerea,俞德俊,14448,19370905,云南省 ,0~2100,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606322.jpg,,,,,,,,,, +,Ligularia vellerea,王孝,41641,19390821,云南省,0~1930,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606321.jpg,,,,,,,,,, +,Ligularia vellerea,王清泉,20324,19790701,四川省,0~3200,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606324.jpg,,,,,,,,,, +长毛橐吾,Ligularia villosa,H.T.Tsai,59771,19331012,云南省,0~2900,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606295.jpg,,,,,,,,,, +长毛橐吾,Ligularia villosa,关克俭,2014,19570719,新疆维吾尔自治区,2500,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00532222.jpg,,,,,,,,,, +长毛橐吾,Ligularia villosa,H.T.Tsai,57600,,云南省 ,0,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606296.jpg,,,,,,,,,, +,Ligularia virgaurea,"Przewalski, N.M.",s.n.,1880,,,,,,https://image.cvh.ac.cn/files/l/E/E00413260.jpg,,,,,,,,,, +黄帚橐吾,Ligularia virgaurea,青藏科考队,12634,19760807,西藏,3900,半阴坡湿草地,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027891.jpg,,,,,,,,,, +黄帚橐吾,Ligularia virgaurea,陈全胜,cf13-4251,20180704,内蒙古自治区,1603,山地林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02247024.jpg,,,,,,,,,, +,Ligularia virgaurea var. pilosa,,,,,,,,,,,,,,,,,,, +,Ligularia virgaurea var. virgaurea,D. E. Boufford et al.,34394,20050809,青海省,3670~3700,"Meadows, thickers and Juniperus forest on slopes. Under shrubs and along stream",,有花无果,https://image.cvh.ac.cn/files/l/PE/01882607.jpg,,,,,,,,,, +,Ligularia virgaurea var. virgaurea,D. E. Boufford et al.,35735,20060804,四川省,4300~4350,disturbed gravelly soil on slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01895112.jpg,,,,,,,,,, +云南橐吾,Ligularia yunnanensis,俞德浚,20251,19380914,云南省,3300~3100,Margin of thickets on grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/723363.jpg,,,,,,,,,, +,Ligularia yunnanensis,"Delavay, J.M.",2644,1887-8-19,,,,,,https://image.cvh.ac.cn/files/l/P/P00723319.jpg,,,,,,,,,, +云南橐吾,Ligularia yunnanensis,尹志坚,董洪进,向春雷,YDX1365,20090715,云南,3800,"roadsides,in forests",,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0208120.jpg,,,,,,,,,, +,Ligusticum acuminatum,"Delavay, J.M.",2945,1887-9-5,,,,,,https://image.cvh.ac.cn/files/l/P/P03237431.jpg,,,,,,,,,, +尖叶藁本,Ligusticum acuminatum,吴培根,651177,19650922,河南省,1870,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00026574.jpg,,,,,,,,,, +尖叶藁本,Ligusticum acuminatum,王兴华,634229,1963.7.1,河北,500,,,无花无果,https://image.cvh.ac.cn/files/l/HENU/0050803.jpg,,,,,,,,,, +归叶藁本,Ligusticum angelicifolium,亚吉东、陈智发、陈小灵,LJBG0019,20141009,云南,3772,无底湖边 冷杉林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1481265.jpg,,,,,,,,,, +,Ligusticum angelicifolium,"孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增",SunH-07ZX-2505,20090922,西藏自治区,3640,路边灌丛,土坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336598.jpg,,,,,,,,,, +归叶藁本,Ligusticum angelicifolium,K.S.Hao,Hao.3987,1932/8/8,陕西,1800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0011124.jpg,,,,,,,,,, +短裂藁本,Ligusticum brachylobum,刘胜利,,1963,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00023885.jpg,,,,,,,,,, +短片藁本,Ligusticum brachylobum,贵州队,5512,1960/6/20,贵州,1560,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0224575.jpg,,,,,,,,,, +短片藁本,Ligusticum brachylobum,姚淦,2145,19890905,西藏自治区,,溪边灌丛下,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00003375.jpg,,,,,,,,,, +细苞藁本,Ligusticum capillaceum,方震东、马建中,,20030613,云南省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002260.jpg,,,,,,,,,, +细苞藁本,Ligusticum capillaceum,李永江,525,Oct-84,四川省,3700,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102358.jpg,,,,,,,,,, +,Ligusticum capillaceum,"Rock, Joseph Francis Charles",10791,19-Sep-23,,,,,,https://image.cvh.ac.cn/files/l/E/E00000230.jpg,,,,,,,,,, +宽裂山芹菜,Ligusticum daucoides,周鹤昌,173,19340501,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0075747.jpg,,,,,,,,,, +羽苞藁本,Ligusticum daucoides,,113,19760000,西藏,~5000,,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092120.jpg,,,,,,,,,, +羽苞藁本,Ligusticum daucoides,王明川,GYZ2014092800015,20140928,贵州,,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0003898.jpg,,,,,,,,,, +丽江藁本,Ligusticum delavayi,秦仁昌,24308,19290903,云南省,3800,海边,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0462950.jpg,,,,,,,,,, +丽江藁本,Ligusticum delavayi,联大,3507,,云南省 ,0,,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0462947.jpg,,,,,,,,,, +丽江藁本,Ligusticum delavayi,青藏队补点组,750698,19750725,西藏自治区,4210,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758346.jpg,,,,,,,,,, +,Ligusticum francheti,"Soulié, J.A.",1065,1893,,,,,,https://image.cvh.ac.cn/files/l/P/P04197628.jpg,,,,,,,,,, +紫色藁本,Ligusticum francheti,谢登峰、张相宜,2027152,20190920,四川,4550,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/02027152.jpg,,,,,,,,,, +,Ligusticum francheti,王启无,67295,19351000,云南省,3000,"Mountain slope,Crevice",,无花有果,https://image.cvh.ac.cn/files/l/PE/00758350.jpg,,,,,,,,,, +,Ligusticum glaucifolium,"Forrest, George",11280,13-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00002345.jpg,,,,,,,,,, +白叶藁本,Ligusticum glaucifolium,G.Forrest,11280,19130900,云南省,3333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033273.jpg,,,,,,,,,, +白叶藁本,Ligusticum glaucifolium,杨竟生,610183,19610000,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0462988.jpg,,,,,,,,,, +吉隆藁本,Ligusticum gyirongense,姜恕 赵从福,345,19671103,西藏自治区,,林缘 草地,草本,无花有果,https://image.cvh.ac.cn/files/l/PE/00033250.jpg,,,,,,,,,, +吉隆藁本,Ligusticum gyirongense,Y.P.Chang,635,19401101,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00026466.jpg,,,,,,,,,, +毛藁本,Ligusticum hispidum,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/068404.jpg,,,,,,,,,, +毛藁本,Ligusticum hispidum,海仙,谢爱芳,HX2008-169,20080723,云南省,3378,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005482.jpg,,,,,,,,,, +,Ligusticum hispidum,,11609,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0065179.jpg,,,,,,,,,, +多苞藁本,Ligusticum involucratum,和炳光,22,19860604,云南省 ,4350,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00039316.jpg,,,,,,,,,, +多苞藁本,Ligusticum involucratum,鞠文彬,郑臣臣,THP-KD-6243,20170817,四川,3975,草地灌丛,多年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0239918.jpg,,,,,,,,,, +多苞藁本,Ligusticum involucratum,青藏队,10138,19820908,西藏自治区,3700,山沟灌丛草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0463047.jpg,,,,,,,,,, +草甸藁本,Ligusticum kingdon-wardii,周太炎等,651460,19650825,新疆维吾尔自治区,2800,山坡石缝中,多年生草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0463057.jpg,,,,,,,,,, +草甸藁本,Ligusticum kingdon-wardii,周太炎等,651291,19650806,新疆维吾尔自治区 ,3700,山坡草地,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0463056.jpg,,,,,,,,,, +草甸藁本,Ligusticum kingdon-wardii,刘恩德等,3355,20110827,云南省,4000,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1262249.jpg,,,,,,,,,, +,Ligusticum levistifolium,,,,,,,,,,,,,,,,,,, +美脉藁本,Ligusticum likiangense,彭昶,2044211,20170804,云南,2930,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02044211.jpg,,,,,,,,,, +美脉藁本,Ligusticum likiangense,溥发鼎、潘泽惠,943,Oct-86,云南省,2900,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102351.jpg,,,,,,,,,, +美脉藁本,Ligusticum likiangense,四川植被调查队,3143,1973-8 1,四川省,4500,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102367.jpg,,,,,,,,,, +,Ligusticum littledalei,,,,,,,,,,,,,,,,,,, +串珠藁本,Ligusticum moniliforme,陈晓澄等,2543,20120810,青海,3962,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00021250.jpg,,,,,,,,,, +串珠藁本,Ligusticum moniliforme,陈晓澄、肖洒等人,9847,20160809,青海省,4562,流石滩砾石沟下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00016417.jpg,,,,,,,,,, +,Ligusticum moniliforme,尹鑫、吴航、葛文静,LiuJQ-GN-269,20111005,甘肃省,0~2965,亚高山草甸坡地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0283523.jpg,,,,,,,,,, +多管藁本,Ligusticum multivittatum,H.T.Tsia,59665,19331004,云南省,3650,,herb,无花有果,https://image.cvh.ac.cn/files/l/NKU/NK 008864.jpg,,,,,,,,,, +,Ligusticum multivittatum,"Forrest, G.",2872,,,,,,,https://image.cvh.ac.cn/files/l/P/P03224926.jpg,,,,,,,,,, +多管藁本,Ligusticum multivittatum,杨亚滨、姚淦、曾万章、温鸣章,259,Oct-82,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102442.jpg,,,,,,,,,, +线叶藁本,Ligusticum nematophyllum,谢登峰、蔡竞、秦换换,SC-00-004-A-003,20200904,四川,3411.47m,草甸,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02061698.jpg,,,,,,,,,, +线叶藁本,Ligusticum nematophyllum,溥发鼎、曹亚玲,164,Oct-82,四川省,3640,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102411.jpg,,,,,,,,,, +蕨叶藁本,Ligusticum pteridophyllum,,12343,19380915,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00758504.jpg,,,,,,,,,, +蕨叶藁本,Ligusticum pteridophyllum,古城区普查队,530702208,20120706,云南省,2751,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0014391.jpg,,,,,,,,,, +蕨叶藁本,Ligusticum pteridophyllum,王献浦,22061,19520923,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01553360.jpg,,,,,,,,,, +,Ligusticum rechingerianum,,,,,,,,,,,,,,,,,,, +,Ligusticum rockii,J. F. Rock,16541,28-Jun,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00076821.jpg,,,,,,,,,, +抽莛藁本,Ligusticum scapiforme,傅德志 赵志龙等,87-2212,19870824,四川省,3500,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/004595.jpg,,,,,,,,,, +抽莛藁本,Ligusticum scapiforme,生物研究所西藏考察队,2774,19730807,西藏自治区,4000,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/40002.jpg,,,,,,,,,, +抽莛藁本,Ligusticum scapiforme,,523,19591108,安徽省,800,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00064574.jpg,,,,,,,,,, +川滇藁本,Ligusticum sikiangense,植被组,31389,1983-8 2,四川省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102405.jpg,,,,,,,,,, +川滇藁本,Ligusticum sikiangense,,11782,19380901,湖南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00758565.jpg,,,,,,,,,, +川滇藁本,Ligusticum sikiangense,高云东,黎怀成,郑臣臣,THP-KD-2361,20170714,四川,4300-4500,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242109.jpg,,,,,,,,,, +藁本,Ligusticum sinense var. sinense,灌阳县普查队,450327160718024LY,20160718,广西壮族自治区,1697,灌丛、草丛,阳坡,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0173405.jpg,,,,,,,,,, +细裂藁本,Ligusticum tenuisectum,川经达,2822,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00031152.jpg,,,,,,,,,, +细裂藁本,Ligusticum tenuisectum,H.T.Tsai,53851,19330726,云南省 ,2800,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00064652.jpg,,,,,,,,,, +,Ligusticum tenuisectum,"Fargès, R.P.",119,,,,,,,https://image.cvh.ac.cn/files/l/P/P03221080.jpg,,,,,,,,,, +,Ligusticum yushuense,"陈世龙, 高庆波, 张发起等",ChenSL0664,20090818,青海,,高山河谷,柏树林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1336675.jpg,,,,,,,,,, +玉树藁本,Ligusticum yushuense,魏振铎,21892,19800726,青海省,3550,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/97620.jpg,,,,,,,,,, +,Ligustrum compactum,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11821,20161110,西藏,2423,林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1450641.jpg,,,,,,,,,, +大叶女贞,Ligustrum compactum,生科,6265,20110702,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0006265.jpg,,,,,,,,,, +长叶女贞,Ligustrum compactum,Y.Tsiang,11240,19330400,上海市,2300,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00076631.jpg,,,,,,,,,, +,Ligustrum confusum,高信芬、涂卫国、何海、乔永康,7828,20030923,西藏自治区,2000,林下,乔木,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190745.jpg,,,,,,,,,, +散生女贞,Ligustrum confusum,屏边县中药资源普查队,5325230517,20120505,云南省,1431,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0015506.jpg,,,,,,,,,, +,Ligustrum confusum,,2.897,19400506,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00050277.jpg,,,,,,,,,, +,Ligustrum confusum var. macrocarpum,"李渤生,程树志",2868,19830301,西藏自治区,2100,山顶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01503671.jpg,,,,,,,,,, +扩展女贞,Ligustrum expansum,A.Henry,5908A,1885-88,湖北,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0002801.jpg,,,,,,,,,, +,Ligustrum expansum,"戴伦鹰,钱重海",鄂1387,19510924,湖北省,,河沟侧,,无花有果,https://image.cvh.ac.cn/files/l/PE/01503985.jpg,,,,,,,,,, +扩展女贞,Ligustrum expansum,秦祥堃,21728,20080918,重庆,1170,,,无花有果,https://image.cvh.ac.cn/files/l/SHM/SHM0000844.jpg,,,,,,,,,, +女贞,Ligustrum lucidum,张代贵,YD2100099,20150711,湖南省湘西州,,林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU40199.jpg,,,,,,,,,, +女贞,Ligustrum lucidum,刀志灵;蔡磊;张品;杨静;杨佳俊;李云猛,KIBDZL029B06,20170902,云南,820,干热河谷灌丛中,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1561273.jpg,,,,,,,,,, +女贞,Ligustrum lucidum,生科,8405,20070704,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0008405.jpg,,,,,,,,,, +,Ligustrum myrsinites,,,,,,,,,,,,,,,,,,, +,Ligustrum nepalense,,5673,19360529,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00051336.jpg,,,,,,,,,, +水蜡,Ligustrum obtusifolium,左忠 ;左伟;牛玉秀,ZuoZh519,20190914,宁夏,1746,温带干草原草地,落叶多分枝灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1551655.jpg,,,,,,,,,, +水蜡树,Ligustrum obtusifolium,李永彪,56076,19560900,江西省,,,,无花有果,https://image.cvh.ac.cn/files/l/NKU/NK 009373.jpg,,,,,,,,,, +辽东水蜡树,Ligustrum obtusifolium,刘君哲,唐廷贵,76,19790628,北京市,,栽培,灌木,有花无果,https://image.cvh.ac.cn/files/l/SHM/SHM0001141.jpg,,,,,,,,,, +小叶女贞,Ligustrum quihoui,何叶琪,1156,1958/10/15,甘肃,600,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0387232.jpg,,,,,,,,,, +小叶女贞,Ligustrum quihoui,津自博植物部,85,20040512,天津市,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00060347.jpg,,,,,,,,,, +,Ligustrum quihoui,左景烈,1290,19260628,江苏省,0,In wood,a small tree,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00072235.jpg,,,,,,,,,, +小蜡,Ligustrum sinense,张记军,蔡文峰,潘嘉文,LXP-13-17134,20160512,江西,402,山坡、壤土、路旁, 陆生、灌木、直立 ,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00203757.jpg,,,,,,,,,, +罗甸小蜡,Ligustrum sinense,4组,130824131015031LY,20131015,河北省,580,灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/HBNU/HBNU10014540.jpg,,,,,,,,,, +小蜡树,Ligustrum sinense,华东林业部森林调查浙江队,20041,19500730,江苏,,,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00032614.jpg,,,,,,,,,, +皱叶小蜡,Ligustrum sinense var. rugosulum,侯学良,710338,20071007,福建省,,林缘,小乔木,无花有果,https://image.cvh.ac.cn/files/l/AU/035595.jpg,,,,,,,,,, +皱叶小蜡,Ligustrum sinense var. rugosulum,建水县普查队,5325240131,20190327,云南,1623,林下,灌本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1524820.jpg,,,,,,,,,, +皱叶小蜡,Ligustrum sinense var. rugosulum,中越考察队,409,19640212,,1850,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00074909.jpg,,,,,,,,,, +,Lihengia amoena,,,,,,,,,,,,,,,,,,, +,Lihengia gombalana,,,,,,,,,,,,,,,,,,, +中华石龙尾,Limnophila chinensis,陈邦余、李泽贤,306,19801121,广东省,,"山地,路旁",草本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/003888.jpg,,,,,,,,,, +中华石龙尾,Limnophila chinensis,余丽莹,黄宝优,姚积军,451025131013012LY,20131013,广西壮族自治区,782,草丛,沟边,黄棕壤,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0108519.jpg,,,,,,,,,, +中华石龙尾,Limnophila chinensis,海南吊罗山队,3273,19541123,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00052899.jpg,,,,,,,,,, +抱茎石龙尾,Limnophila connata,王洪,7729,20041102,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/108992.jpg,,,,,,,,,, +抱茎石龙尾,Limnophila connata,蒋英,12365,19330000,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0556355.jpg,,,,,,,,,, +抱茎石龙尾,Limnophila connata,刘心祈,24893,19351015,广东省,,,,有花有果,https://image.cvh.ac.cn/files/l/SZ/00246877.jpg,,,,,,,,,, +有梗石龙尾,Limnophila indica,洪林,s.n.,19780802,浙江省,,,小乔木,无花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ052527.jpg,,,,,,,,,, +有梗石龙尾,Limnophila indica,王启无,81246,19361100,云南省,1800,Swampy land.near pond,,有花无果,https://image.cvh.ac.cn/files/l/PE/01383364.jpg,,,,,,,,,, +有梗石龙尾,Limnophila indica,邬文祥,6177A,19670905,江苏省,,六顶山东麓池塘中,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00584304.jpg,,,,,,,,,, +匍匐石龙尾,Limnophila repens,侯宽昭,70004,,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00052952.jpg,,,,,,,,,, +匍匐石龙尾,Limnophila repens,梁向日,64667,19340115,海南,,in wet grace land along the field,herb,有花无果,https://image.cvh.ac.cn/files/l/SN/SN004257.jpg,,,,,,,,,, +匍匐石龙尾,Limnophila repens,Shiu Ying Hu,8627,19691111,香港,,Tall;dry rice field,,无花有果,https://image.cvh.ac.cn/files/l/PE/01383366.jpg,,,,,,,,,, +石龙尾,Limnophila sessiliflora,李永彪,56360,19560822,江西省,,,,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 010192.jpg,,,,,,,,,, +石龙尾,Limnophila sessiliflora,方建新,TangXS0679,20131110,安徽,134,水库湿地,多年生两栖草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1438179.jpg,,,,,,,,,, +石龙尾,Limnophila sessiliflora,路端正,191107,19110719,,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00018768.jpg,,,,,,,,,, +,Limonia acidissima,F.A.McClure,7332,19210930,,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00404766.jpg,,,,,,,,,, +,Limonia acidissima,McClure,,,海南; HAINAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00044112.jpg,,,,,,,,,, +黄花补血草,Limonium aureum,张磊,QTP-LJQ-1237-3026,20190802,内蒙古,1386,盐碱地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1476936.jpg,,,,,,,,,, +黄花补血草,Limonium aureum,Yang,5125,19370710,绥远,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0038806.jpg,,,,,,,,,, +黄花补血草,Limonium aureum,杨喜林,125,19620615,宁夏回族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00749120.jpg,,,,,,,,,, +水茫草,Limosella aquatica,叶居新 ,438,19640607,黑龙江省,,沼泽地淡水中,,无花有果,https://image.cvh.ac.cn/files/l/IGA/IGA0007493.jpg,,,,,,,,,, +水茫草?,Limosella aquatica,,B.1419,,,,,,有花有果,https://image.cvh.ac.cn/files/l/TIE/00066252.jpg,,,,,,,,,, +水茫草,Limosella aquatica,H.W.Kung,K.1626,1931/6/22,吉林,500,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0013719.jpg,,,,,,,,,, +长柱琉璃草,Lindelofia stylosa,,1028,65.06.11,新疆维吾尔自治区 ,2650,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00031528.jpg,,,,,,,,,, +长柱琉璃草,Lindelofia stylosa,T.H.Ting,,1927/1/1,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/12594.jpg,,,,,,,,,, +长柱琉璃草,Lindelofia stylosa,,821-7,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468542.jpg,,,,,,,,,, +大花钟萼草,Lindenbergia grandiflora,毛品一,2000,19521210,云南省,0~1160,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0556578.jpg,,,,,,,,,, +大花钟萼草,Lindenbergia grandiflora,"彭华, 向春雷, 陈丽",PengH5770,20080101,云南,1000,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444488.jpg,,,,,,,,,, +大花钟萼草,Lindenbergia grandiflora,李丙贵,16,19510902,广西壮族自治区,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0556579.jpg,,,,,,,,,, +,Lindenbergia griffithii,,,,,,,,,,,,,,,,,,, +,Lindenbergia hookeri,,,,,,,,,,,,,,,,,,, +野地钟萼草,Lindenbergia indica,黄自云,C150001,20090304,云南省,570,热带雨林区,草本,,https://image.cvh.ac.cn/files/l/HITBC/0023196.jpg,,,,,,,,,, +,Lindenbergia indica,青藏队,13352,19830825,四川省,2000,大队山沟岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01481859.jpg,,,,,,,,,, +,Lindenbergia indica,广西调查队,3823,19530927,广西壮族自治区,,岩石上洞口,,有花无果,https://image.cvh.ac.cn/files/l/PE/01383823.jpg,,,,,,,,,, +野地钟萼草,Lindenbergia muraria,张桥蓉;宋鼎,GZAL007,20190502,贵州,1026,洞口潮湿处,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1555038.jpg,,,,,,,,,, +野地钟萼草,Lindenbergia muraria,周建军、周辉,14072806,20140728,湖南省,417,石灰岩石壁,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI028404.jpg,,,,,,,,,, +野地钟萼草,Lindenbergia muraria,T.P.Wang,11310,1939/7/13,湖北省,500,,succulent herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0053597.jpg,,,,,,,,,, +长莉母草,Lindernia anagallis,贺士元,,19971030,海南省,,,,,https://image.cvh.ac.cn/files/l/BNU/0013956.jpg,,,,,,,,,, +长蒴母草,Lindernia anagallis,张代贵,120917031,20120917,湖北神农架,,溪旁,,有花有果,https://image.cvh.ac.cn/files/l/JIU/JIU60954.jpg,,,,,,,,,, +长蒴母草,Lindernia anagallis,邬文祥,4310,19580811,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00247629.jpg,,,,,,,,,, +泥花母草,Lindernia antipoda,章建业,张家祥,朱科润,张思宇,邵剑文,ZJY0077,20200819,安徽,698,山坡林地,草本,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0205194.jpg,,,,,,,,,, +泥花草,Lindernia antipoda,李健玲、袁泉、刘志荣,GPS181003037,20181003,广西,~,路旁,黄壤;普遍,披散草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00434269.jpg,,,,,,,,,, +泥花草,Lindernia antipoda,黄放军,0293A,20040805,,600,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00031074.jpg,,,,,,,,,, +刺齿泥花草,Lindernia ciliata,曾宪锋,ZXF50641,20190718,广东,7,水稻田边,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0045790.jpg,,,,,,,,,, +刺齿泥花草,Lindernia ciliata,考察队,35362,19831211,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/044257.jpg,,,,,,,,,, +刺齿泥花草,Lindernia ciliata,"刘成, 亚吉东, 何华杰, 李昌洪, 杨永平, 杨云珊",16CS11859,20161112,西藏,747,路边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444946.jpg,,,,,,,,,, +母草,Lindernia crustacea,修水植物调队,8110392,19871016,江西,700m,山谷路旁,,有花无果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0006142.jpg,,,,,,,,,, +母草,Lindernia crustacea,陈念劬,44572,19321226,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00053091.jpg,,,,,,,,,, +母草,Lindernia crustacea,寿海洋、王樟华,SHY01043,20130704,浙江,307.26,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0013070.jpg,,,,,,,,,, +红骨草,Lindernia mollis,邓良,3455,19561202,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/044274.jpg,,,,,,,,,, +红骨母草,Lindernia mollis,天峨采集队,451222140815001LY,20140815,广西壮族自治区,,灌丛、路旁、黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0162200.jpg,,,,,,,,,, +红骨草,Lindernia mollis,,5.744,193604,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00050327.jpg,,,,,,,,,, +宽叶母草,Lindernia nummulariifolia,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201027,20200719,西藏,2230,屋后荒地,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507229.jpg,,,,,,,,,, +,Lindernia nummulariifolia,"牛俊峰,田陌",TianXH948,20130801,陕西省,1778,亚热带落叶阔叶林山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1383025.jpg,,,,,,,,,, +宽叶母草,Lindernia nummulariifolia,"彭华, 向春雷, 陈丽",PengH8135,20081110,广西,753,原生林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1457579.jpg,,,,,,,,,, +陌上菜,Lindernia procumbens,郭友好 刘成士,153,1979/8/11,甘肃,760,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0417291.jpg,,,,,,,,,, +陌上菜,Lindernia procumbens,侯元同,郭成勇,侯元免,贺再成,宋晓琳,李涵,魏龙凡,20190806440,20190806,江苏,10,沼泽,一年生草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0053080.jpg,,,,,,,,,, +陌上菜,Lindernia procumbens,贺士元,,19971031,海南省,,,,,https://image.cvh.ac.cn/files/l/BNU/0014140.jpg,,,,,,,,,, +细茎母草,Lindernia pusilla,,,19500708,广东,,,草本,有花无果,https://image.cvh.ac.cn/files/l/SN/SN004262.jpg,,,,,,,,,, +细茎母草,Lindernia pusilla,詹选怀、彭焱松等,LXP7734,20170816,湖北,1497,,草本,有花无果,https://image.cvh.ac.cn/files/l/LBG/LBG00130627.jpg,,,,,,,,,, +细茎母草,Lindernia pusilla,"Tsang ,Wai-Tak",219,19280503,海南省,,,Herbaceous,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00235112.jpg,,,,,,,,,, +旱田菜,Lindernia ruellioides,刘全儒,2018080303,20190803,贵州,520,路边,草,有花无果,https://image.cvh.ac.cn/files/l/BNU/0055023.jpg,,,,,,,,,, +旱田草,Lindernia ruellioides,勐腊普查队,5328230988,20150924,云南省,724.4,草丛,一年生草本植物,无花有果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0032582.jpg,,,,,,,,,, +旱田草,Lindernia ruellioides,安明态,2015052502,20150515,贵州省,,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0032301.jpg,,,,,,,,,, +粘毛母草,Lindernia viscosa,勐腊普查队,5328230665,20150907,云南省,1040.1,草丛,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0032002.jpg,,,,,,,,,, +粘毛母草,Lindernia viscosa,,5810,1974-8 9,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0126926.jpg,,,,,,,,,, +粘毛母草,Lindernia viscosa,黄志,35128,19331120,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00053173.jpg,,,,,,,,,, +,Lippia alba,"蔡杰, 杨雪飞, 杨珺, Tial Cung Ling",15CS10711,20151208,,68,In the shrub along the bank of Irrawaddy.,半灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1446802.jpg,,,,,,,,,, +,Lippia alba,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180392,20181129,Mon State,,,Herb,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498686.jpg,,,,,,,,,, +,Lippia javanica,,8742,19780610,,1500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01276269.jpg,,,,,,,,,, +,Lipschitziella ceratocarpa,,,,,,,,,,,,,,,,,,, +短柄半边莲,Lobelia alsinoides,Kai Larsen Supee S.Larsen,34131,,,600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0533711.jpg,,,,,,,,,, +短柄半边莲,Lobelia alsinoides,梁向日,64115,19340109,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0533703.jpg,,,,,,,,,, +,Lobelia alsinoides,王文采,10369,19581209,云南省,700,山谷,缓坡,湿低,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0305135.jpg,,,,,,,,,, +微齿山梗菜,Lobelia doniana,邱炳云,771232,19771029,云南省,1800,山坡,灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0305300.jpg,,,,,,,,,, +微齿山梗菜,Lobelia doniana,熊济华,92274,1957/7/24,重庆市,2080,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0314699.jpg,,,,,,,,,, +微齿山梗菜,Lobelia doniana,P.C.Tsoong,4500,1936/8/14,,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0055078.jpg,,,,,,,,,, +马波罗,Lobelia erectiuscula,H.Kanai etc.,723178,19750803,,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0305310.jpg,,,,,,,,,, +直立山梗菜,Lobelia erectiuscula,姚淦,1931,19890731,西藏自治区,3180,沼泽地草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00006479.jpg,,,,,,,,,, +直立山梗菜,Lobelia erectiuscula,宋健,522422150817001LY,20150817,贵州省,1800.9,中生、阳性、中温、野生植物,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0034976.jpg,,,,,,,,,, +山紫锤草,Lobelia montana,胡君,熊豫宁,伍小刚,王东超,HJ05244,20151018,西藏自治区,1600,不丹松林下草丛中,直立草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00599182.jpg,,,,,,,,,, +山紫锤草,Lobelia montana,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14412,20161113,西藏,1605,林下阴湿处,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1452589.jpg,,,,,,,,,, +,Lobelia montana,税玉民,5026,19960831,云南省,2160,山坡密林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01442902.jpg,,,,,,,,,, +,Lobelia nummularia,赵常明,EX1826,20080812,湖北省,1650,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/02020755.jpg,,,,,,,,,, +铜锤玉带草,Lobelia nummularia,方震东、李磊、谢爱芳、海仙,LDHF-390,20090824,云南省,2254,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000629.jpg,,,,,,,,,, +铜锤玉带草,Lobelia nummularia,杨文光,DT6724,20190515,云南,989,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1513019.jpg,,,,,,,,,, +,Lobelia pleotricha,"Forrest, George",3869,6-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00265643.jpg,,,,,,,,,, +毛萼山梗菜,Lobelia pleotricha,刘全儒、张潮、王辰,LGS2003066,20030929,贵州省,1650,山坡,草,,https://image.cvh.ac.cn/files/l/BNU/0022268.jpg,,,,,,,,,, +毛萼山梗菜,Lobelia pleotricha,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,780,20120809,西藏,,沟谷草地,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230359.jpg,,,,,,,,,, +红花草,Lobelia pyramidalis,祁承经、林仕榕,6865,19620901,湖南省,,山地、路旁、山旁 普,直立草本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI041918.jpg,,,,,,,,,, +塔花山梗菜,Lobelia pyramidalis,PE西藏队,PE6286,20170911,西藏自治区,2445,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890137.jpg,,,,,,,,,, +塔花山梗菜,Lobelia pyramidalis,Husato Ogawa etc.,216-95,19580916,Phuket,0,,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0305991.jpg,,,,,,,,,, +,Lobelia rosea,王洪,4488,20000415,云南省,1400,次生林及沟谷林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01442853.jpg,,,,,,,,,, +,Lobelia rosea,,267,19381122,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0038404.jpg,,,,,,,,,, +,Lobelia rosea,"张志松,张永田",3436,19600516,贵州省,,山坡路旁疏林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01277391.jpg,,,,,,,,,, +卵叶半边莲,Lobelia zeylanica,凡强、李鹏远、陈填,JGS-B013,20110713,江西省井冈山市,,林下、水旁,草本,,https://image.cvh.ac.cn/files/l/SYS/SYS00189859.jpg,,,,,,,,,, +卵叶半边莲,Lobelia zeylanica,赵清盛、师进斌,118821,19830806,四川省,2220,半山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/CQNM/0004050.jpg,,,,,,,,,, +大花卵叶半边莲,Lobelia zeylanica,殷建涛,李剑武,1947,20101209,云南,1000,沟谷林,藤本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030389.jpg,,,,,,,,,, +香雪球,Lobularia maritima,刘慎谔,9522,1938/5/15,陕西省 ,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0023778.jpg,,,,,,,,,, +香雪球,Lobularia maritima,刘全儒,RQSB09485,20160804,内蒙古自治区,1487,路边,草本,,https://image.cvh.ac.cn/files/l/BNU/0029204.jpg,,,,,,,,,, +香雪球,Lobularia maritima,罗达尚,314,19630918,山西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/10521.jpg,,,,,,,,,, +短药肋柱花,Lomatogonium brachyantherum,青藏队 吴玉虎,1180,19870816,新疆维吾尔自治区,3740,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/175743.jpg,,,,,,,,,, +短药肋柱花,Lomatogonium brachyantherum,N.Kurosaki,8572124,19850431,Shemma,0,in grassyplace on sandy ground.,,有花无果,https://image.cvh.ac.cn/files/l/KUN/554148.jpg,,,,,,,,,, +短药肋柱花,Lomatogonium brachyantherum,张发起;高庆波;迟晓峰;刑睿;贾留坤;夏铭泽,QXA0396,20170903,青海,3651,温带高山草原/高山灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1480709.jpg,,,,,,,,,, +肋柱花,Lomatogonium carinthiacum,刘恩德,徐洲锋,9148,20190810,新疆,2896,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512260.jpg,,,,,,,,,, +,Lomatogonium carinthiacum,serre,2449,19290818,山西省,2690,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00025942.jpg,,,,,,,,,, +肋柱花,Lomatogonium carinthiacum,秦岭队,915,19590905,陕西省,,路旁 野生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01811753.jpg,,,,,,,,,, +亚东肋柱花,Lomatogonium chumbicum,青藏队,7353,19750902,西藏自治区,4700,山坡草甸草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440523.jpg,,,,,,,,,, +亚东肋柱花,Lomatogonium chumbicum,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201713,20200812,西藏,4937,湖边沙地,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508430.jpg,,,,,,,,,, +合萼肋柱花,Lomatogonium gamosepalum,,,,甘肃,,,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092613.jpg,,,,,,,,,, +合萼肋柱花,Lomatogonium gamosepalum,T.T.Yu,2634,19330000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0007743.jpg,,,,,,,,,, +合萼肋柱花,Lomatogonium gamosepalum,尹鑫、吴航、葛文静,LiuJQ-GN-2011-018,20111021,甘肃省,2965,亚高山草甸坡地,直立草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00003707.jpg,,,,,,,,,, +岗巴肋柱花,Lomatogonium lloydioides,青藏队植被组,7729,19750911,西藏自治区,4100,桦木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01484694.jpg,,,,,,,,,, +小花肋柱花,Lomatogonium micranthum,渠弼,152529190830003LY,20190830,内蒙古,1232.8,,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IATM/IATM0003149.jpg,,,,,,,,,, +小花肋柱花,Lomatogonium micranthum,岳伟、苏旭、王玉金,LiuJQ-248,20110926,四川省,0~3930,温带针叶林坡地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286021.jpg,,,,,,,,,, +辐状肋柱花,Lomatogonium rotatum,刘晓,D-200904,20090923,北京市,1745,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00062307.jpg,,,,,,,,,, +肋柱花,Lomatogonium rotatum,邱爱军,Li2J1823,20100822,新疆,2520米,山前草原,草本,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU01113.jpg,,,,,,,,,, +辐状肋柱花,Lomatogonium rotatum,杨金祥 黄锁林,6500,19850911,陕西省,1300,草地山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0468636.jpg,,,,,,,,,, +锡金肋柱花,Lomatogonium sikkimense,青藏队,74-2507,19740914,西藏自治区,3980,山坡草丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/554292.jpg,,,,,,,,,, +锡金肋柱花,Lomatogonium sikkimense,C.S.Chang S.P.Hong U.Kang J.H.Paik,NE020683,20021017,,2610,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01591879.jpg,,,,,,,,,, +垂花肋柱花,Lomatogonium stapfii,青藏队补点组,751518,19750825,西藏自治区,4500,山顶草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440810.jpg,,,,,,,,,, +垂花肋柱花,Lomatogonium stapfii,,1286,19940925,云南省,4675,South side of road,,有花无果,https://image.cvh.ac.cn/files/l/PE/01476692.jpg,,,,,,,,,, +淡红忍冬,Lonicera acuminata var. acuminata,李红、和仕波,533324180830578LY,20180830,云南,2200,,藤本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009465.jpg,,,,,,,,,, +,Lonicera acuminata var. giraldii,孙祥麟,5614,19340000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00260600.jpg,,,,,,,,,, +,Lonicera acuminata var. giraldii,"丁志遵,汪嘉熙",1072,19581031,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00260605.jpg,,,,,,,,,, +,Lonicera acuminata var. giraldii,香料植物考察队,223,19840710,云南省,2900,次生灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/114922.jpg,,,,,,,,,, +,Lonicera angustifolia var. angustifolia,,,,,,,,,,,,,,,,,,, +西南忍冬,Lonicera bournei,安粮丰,476,20180524,贵州,861,,,有花有果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0010252.jpg,,,,,,,,,, +西南忍冬,Lonicera bournei,赵保惠,275,19500808,江西,,,,有花无果,https://image.cvh.ac.cn/files/l/JXU/JXU0020211.jpg,,,,,,,,,, +西南忍冬,Lonicera bournei,冯国楣,14542,19520000,云南省 ,780,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00125713.jpg,,,,,,,,,, +蓝靛果(蓝靛果忍冬),Lonicera caerulea,,L-020,19880830,内蒙古,800,山地杂木林下,灌丝中,,无花无果,https://image.cvh.ac.cn/files/l/NFP/NFP0000786.jpg,,,,,,,,,, +蓝锭果,Lonicera caerulea,刘家宜,134,19780531,河北省,2200,山坡,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00031705.jpg,,,,,,,,,, +蓝靛果,Lonicera caerulea,八一农学院,,,新疆维吾尔自治区 ,,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00125533.jpg,,,,,,,,,, +金花忍冬,Lonicera chrysantha subsp. chrysantha,陈洁琳,2019052091,20190520,黑龙江,120m,林中、林缘,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0002531.jpg,,,,,,,,,, +金花忍冬,Lonicera chrysantha subsp. chrysantha,张重岭,523,20140825,内蒙古自治区,,河岸阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/YAK/0002302.jpg,,,,,,,,,, +,Lonicera fragrantissima var. fragrantissima,,,,,,,,,,,,,,,,,,, +,Lonicera glabrata var. glabrata,,,,,,,,,,,,,,,,,,, +叶藏花,Lonicera harmsii,,,1959,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00031688.jpg,,,,,,,,,, +,Lonicera harmsii,G. Giraldi,7198,1900/7/10,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00056602.jpg,,,,,,,,,, +,Lonicera harmsii,"高连明,吴丁",GLM-07719,20070524,四川省,2410,in mixed forest,,,https://image.cvh.ac.cn/files/l/KUN/1273059.jpg,,,,,,,,,, +,Lonicera hispida var. bracteata,,,,,,,,,,,,,,,,,,, +西蜀刺毛金银花,Lonicera hispida var. chaetocarpa,郭本兆,25789,19810811,青海省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/184303.jpg,,,,,,,,,, +西蜀刺毛金银花,Lonicera hispida var. chaetocarpa,不祥,1185,19590705,河北省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/138064.jpg,,,,,,,,,, +,Lonicera hispida var. chaetocarpa,高信芬、彭玉兰、赵会礼,5447,20030627,四川,3530,杜鹃林中,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0181285.jpg,,,,,,,,,, +,Lonicera hispida var. hirsutior,,,,,,,,,,,,,,,,,,, +,Lonicera hispida var. hispida,,,,,,,,,,,,,,,,,,, +,Lonicera hispida var. setosa,,,,,,,,,,,,,,,,,,, +矮小忍冬,Lonicera humilis,"亚吉东, 张桥蓉, 胡枭剑",16CS12855,20160530,新疆,1876,林下,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1455328.jpg,,,,,,,,,, +矮小忍冬,Lonicera humilis,李渤生,10142,19870621,新疆维吾尔自治区,3340,草原化草原中常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468599.jpg,,,,,,,,,, +甘肃忍冬,Lonicera kansuensis,付坤俊,15364,1964/6/22,甘肃,2100,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0362928.jpg,,,,,,,,,, +甘肃忍冬,Lonicera kansuensis,,620209,19620621,宁夏回族自治区,1300~2000,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01284003.jpg,,,,,,,,,, +,Lonicera kansuensis,刘芙蓉、赵闪、谌登科,JZG1485,20190620,四川,2386.97,,灌木,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0270630.jpg,,,,,,,,,, +光枝柳叶忍冬,Lonicera lanceolata var. glabra,沈显生,1618,19830908,安徽省,1650,生于沟边林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01284869.jpg,,,,,,,,,, +光枝柳叶忍冬,Lonicera lanceolata var. glabra,吴玉虎,50941,20150617,青海省,2650,河谷灌丛,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/00003085.jpg,,,,,,,,,, +柳叶忍冬,Lonicera lanceolata var. glabra,刘义,4529,20190501,河南,386,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1904529.jpg,,,,,,,,,, +亮叶忍冬,Lonicera ligustrina var. yunnanensis,邢吉庆,20731,19631029,甘肃省,1200,山沟灌木丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/XBGH/XBGH016404.jpg,,,,,,,,,, +亮叶忍冬,Lonicera ligustrina var. yunnanensis,曹亮、杨庆华,QL-07-0093,20071018,陕西省,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0067896.jpg,,,,,,,,,, +亮叶忍冬,Lonicera ligustrina var. yunnanensis,葛斌杰、魏宇坤,GBJ00789,20110713,西藏,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0095134.jpg,,,,,,,,,, +理塘忍冬,Lonicera litangensis,陈俊通,刘国玺,Deng-9235,20200602,云南,4165.31,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1513538.jpg,,,,,,,,,, +理塘忍冬,Lonicera litangensis,方震东、马建中,,20030604,云南省,4260,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002535.jpg,,,,,,,,,, +理塘忍冬,Lonicera litangensis,傅德志 赵志龙 易大志 王忠涛等,87-2052,19870821,四川省,2800,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/014147.jpg,,,,,,,,,, +皱叶忍冬,Lonicera reticulata,李雄、杨静,18110204,20181102,湖南,836,阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI072649.jpg,,,,,,,,,, +皱叶忍冬,Lonicera reticulata,谭策铭,941235,19941222,江西省,500,山谷林中林缘,藤本,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00044721.jpg,,,,,,,,,, +皱叶忍冬,Lonicera reticulata,张桂才,320,19810830,广东省,,山地,,有花无果,https://image.cvh.ac.cn/files/l/HGAS/HGAS0071866.jpg,,,,,,,,,, +凹叶忍冬,Lonicera retusa,河南队,1215,19600718,河南省,2100,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00263003.jpg,,,,,,,,,, +,Lonicera retusa,Farges,,,,,,,,https://image.cvh.ac.cn/files/l/P/P00639664.jpg,,,,,,,,,, +凹叶忍冬,Lonicera retusa,黄河队,387,19570530,山西省,1100,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00263001.jpg,,,,,,,,,, +,Lonicera rupicola subsp. syringantha,,,,,,,,,,,,,,,,,,, +矮生忍冬,Lonicera rupicola var. minuta,"朱鑫鑫,安宇梦",ZXX18117,20180616,青海,3363,高原亚寒带高山草甸,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1438465.jpg,,,,,,,,,, +岩生忍冬(原变种),Lonicera rupicola var. rupicola,谢登峰、蔡竞、秦换换,QH-017-B-027,20200926,四川,3462.54m,灌草丛山坡,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02060542.jpg,,,,,,,,,, +,Lonicera rupicola var. rupicola,"李渤生,李辉,多吉次旦",13135,19900816,西藏自治区,4400~4600,高山 灌丛草甸中时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01196510.jpg,,,,,,,,,, +藏西忍冬,Lonicera semenovii,泛喜马拉雅植物志巴基斯坦采集队,FPH-0765,20120624,,3800~4010,"Forest,Alpine meadow,la",,有花无果,https://image.cvh.ac.cn/files/l/PE/02004466.jpg,,,,,,,,,, +藏西忍冬,Lonicera semenovii,青藏队 吴玉虎,235,19870625,新疆维吾尔自治区,3300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/146673.jpg,,,,,,,,,, +藏西忍冬,Lonicera semenovii,青藏队,870235,19870626,新疆,3300,砾石山坡岩石下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/119229.jpg,,,,,,,,,, +齿叶忍冬,Lonicera setifera,张超 朱大海 余磊,20060646,20060914,四川省,3000,,,无花无果,https://image.cvh.ac.cn/files/l/WCSBG/011111.jpg,,,,,,,,,, +齿叶忍冬,Lonicera setifera,乔莫林,1292,19590521,陕西省,940,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01308691.jpg,,,,,,,,,, +齿叶忍冬,Lonicera setifera,汤庚国,,19890529,西藏,,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2015462.jpg,,,,,,,,,, +杈枝忍冬,Lonicera simulatrix,塔里木大学资源调查组,TD-00716,20060827,新疆,2670米,,,无花有果,https://image.cvh.ac.cn/files/l/TARU/TARU01166.jpg,,,,,,,,,, +杈枝忍冬,Lonicera simulatrix,吕绍菊,31,20170514,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0007043.jpg,,,,,,,,,, +西藏忍冬,Lonicera thibetica,T.P.Wang,4808,,陕西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0538289.jpg,,,,,,,,,, +,Lonicera thibetica,田景全,83,19600504,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01828671.jpg,,,,,,,,,, +,Lonicera thibetica,林业部林业科学研究所标本室,2.0039,195705xx,甘肃,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00036553.jpg,,,,,,,,,, +,Lonicera tomentella var. tomentella,,,,,,,,,,,,,,,,,,, +,Lonicera trichosantha var. deflexicalyx,何海、王海峰、肖雅军、唐伟岚,JZG0074,20180920,四川,3123.46,,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0271130.jpg,,,,,,,,,, +长叶毛花忍冬,Lonicera trichosantha var. deflexicalyx,,20989,19551002,云南省,3200,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00127760.jpg,,,,,,,,,, +,Lonicera trichosantha var. deflexicalyx,,s.n.,19280000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00868712.jpg,,,,,,,,,, +毛花忍冬(原变种),Lonicera trichosantha var. trichosantha,谢登峰、蔡竞、秦换换,SC-00-012-A-049,20200907,四川,3709.25m,灌丛和草坡,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02062411.jpg,,,,,,,,,, +毛花忍冬,Lonicera trichosantha var. trichosantha,高云东;李忠荣;鞠文彬,12GaoXF051,20120919,四川省,3363,北温带高山草地 坡地灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253773.jpg,,,,,,,,,, +,Lonicera trichosantha var. trichosantha,"张挺, 刘成, 亚吉东",18CS17620,20180913,西藏,2751,乔松林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484210.jpg,,,,,,,,,, +椆树桑寄生,Loranthus delavayi,陈念劬,42563,19310202,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00173176.jpg,,,,,,,,,, +,Loranthus delavayi,Forrest Henry,9112,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00049413.jpg,,,,,,,,,, +周树桑寄生,Loranthus delavayi,Y.Tateishi et al.,18324,19840826,台湾,1450~2050,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01815403.jpg,,,,,,,,,, +北桑寄生,Loranthus europaeus,李学根,20982,,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/HIB/0154337.jpg,,,,,,,,,, +,Loranthus europaeus,北京市中草药普查队,门296,19710710,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00973746.jpg,,,,,,,,,, +北桑寄生,Loranthus europaeus,伊盟林业局,27707,,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HIMC/0004237.jpg,,,,,,,,,, +吉隆桑寄生,Loranthus lambertianus,西藏中草药普查队,199,19720610,西藏自治区,2750,河谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00891307.jpg,,,,,,,,,, +紫花苣苔,Loxostigma griffithii,赖茂祥,饶伟源,79031,19911024,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI041098.jpg,,,,,,,,,, +紫花苣苔,Loxostigma griffithii,罗城县普查队,451225131108004LY,20131108,广西,306,阔叶林,林下,红壤,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0115104.jpg,,,,,,,,,, +紫花苣苔,Loxostigma griffithii,贺宝育探,,1985,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00243091.jpg,,,,,,,,,, +,Loxostigma kurzii,,,,,,,,,,,,,,,,,,, +,Luculia grandifolia,,,,,,,,,,,,,,,,,,, +馥郁滇丁香,Luculia gratissima,生物研究所考察队,1598,19730726,西藏自治区,1000,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/38902.jpg,,,,,,,,,, +馥郁滇丁香,Luculia gratissima,,40128,19600508,云南省,0~740,,,有花无果,https://image.cvh.ac.cn/files/l/N/151270715.jpg,,,,,,,,,, +馥郁滇丁香,Luculia gratissima,C.W.Wang,67469,19351000,云南省 ,1700,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00103828.jpg,,,,,,,,,, +毛滇丁香,Luculia pinceana,方震东、和光,XZ-438,20070929,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002636.jpg,,,,,,,,,, +,Luculia pinceana,"Forrest, George",1027,3-Nov,,,,,,https://image.cvh.ac.cn/files/l/E/E00034606.jpg,,,,,,,,,, +滇丁香,Luculia pinceana,富宁普查队,5326281508100166LY,20150810,云南省,1493.6,,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0041194.jpg,,,,,,,,,, +红丝线,Lycianthes biflora,C.Y.Chiao,3030,19300804,山东省,0~50,,,无花有果,https://image.cvh.ac.cn/files/l/N/147256281_1.jpg,,,,,,,,,, +红丝线,Lycianthes biflora,黄志,32543,,香港,,,,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00050670.jpg,,,,,,,,,, +红丝线,Lycianthes biflora,张艳婷,201816654,20180425,贵州省,580,路旁,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0023712.jpg,,,,,,,,,, +,Lycianthes laevis,,,,,,,,,,,,,,,,,,, +茎根红丝线,Lycianthes lysimachioides,郭永杰,赵文李,唐培洵,金仙玲,张香群,13CS7505,20130427,云南,1730,公路边,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1395988.jpg,,,,,,,,,, +中华红丝线,Lycianthes lysimachioides,北京队,2349,19880704,,1500,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00030398.jpg,,,,,,,,,, +中华红丝线,Lycianthes lysimachioides,陈少卿,16512,19580829,广西壮族自治区,,,藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00228365.jpg,,,,,,,,,, +大齿红丝线,Lycianthes macrodon,田旗、王正伟、郭光普,TQ00537,20110510,西藏,755,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0071016.jpg,,,,,,,,,, +大齿红丝线,Lycianthes macrodon,刘景欣,1213,20091110,云南,1796,森林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029552.jpg,,,,,,,,,, +软刚毛红丝线,Lycianthes macrodon,,124,19790516,四川,,灌木林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717400589.jpg,,,,,,,,,, +,Lycianthes tibetica,,,,,,,,,,,,,,,,,,, +,Lycium amarum,,,,,,,,,,,,,,,,,,, +宁夏枸杞,Lycium barbarum,邢吉庆,21453,19650621,青海省,2230,路旁,灌木,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH012697.jpg,,,,,,,,,, +宁夏枸杞,Lycium barbarum,谭策铭、易桂花、陈德忠,03兰州014,20030921,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/JJF/00006622.jpg,,,,,,,,,, +宁夏枸杞,Lycium barbarum,黄仁煌,1031,0,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/182629.jpg,,,,,,,,,, +枸杞,Lycium chinense,连艳,朱文涛,20181003052,20181003,新疆,820,山坡,阳生,灌木,无花有果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0002066.jpg,,,,,,,,,, +枸杞,Lycium chinense,白城组,310,19590909,吉林省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/12706002x0003.jpg,,,,,,,,,, +枸杞,Lycium chinense,李宏庆等,SDP06896,20110604,上海市,,绿地,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0063598.jpg,,,,,,,,,, +硬毛地笋,Lycopus lucidus var. hirtus,张吉华,1785,20101005,江西省,1470,山上部山坡草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CCAU/ccau0000789.jpg,,,,,,,,,, +硬毛地笋,Lycopus lucidus var. hirtus,吴金清,7342,20051112,湖北,524,山坡(农户家栽培),草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0181377.jpg,,,,,,,,,, +泽兰,Lycopus lucidus var. hirtus,玉龙县普查队,5307210404,20120825,云南省,2374,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0022115.jpg,,,,,,,,,, +圆叶半饭花,Lyonia doyonensis,尹志坚(Y)、董洪进(D)、向春雷(X),914,20090710,云南,2300,"Roadsides, forest margins",灌木或小乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1511204.jpg,,,,,,,,,, +圆叶珍珠花,Lyonia doyonensis,H.T.Tsai,54113,19330903,云南省 ,3000,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00080491.jpg,,,,,,,,,, +圆叶珍珠花,Lyonia doyonensis,农东新、黄雪彦、胡雪阳、姚积军,451026121226037LY,20121226,广西壮族自治区,1200,阔叶林,路旁,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0085585.jpg,,,,,,,,,, +大萼珍珠花,Lyonia macrocalyx,张林、李星月、张晓严,2-397,20180619,西藏,4565,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023752.jpg,,,,,,,,,, +大萼珍珠花,Lyonia macrocalyx,"李渤生,程树志,倪志诚",3700,19830521,西藏自治区,1690,沼泽边常见灌木,乔松林下偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00198292.jpg,,,,,,,,,, +大萼珍珠花,Lyonia macrocalyx,海仙,刘景欣,李红,肖茂荣,HB2007-608,20071007,云南省,2760,云南松林下,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 004843.jpg,,,,,,,,,, +,Lyonia ovalifolia,刘建华等,539,20030918,台湾省,2450,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855998.jpg,,,,,,,,,, +珍珠花,Lyonia ovalifolia,赵万义、刘忠成、谭维政、丁巧玲、叶矾、刘忠,LXP-13-08536,20151112,江西省九江市,,山坡、壤土(黄壤)、疏林,陆生、灌木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00181507.jpg,,,,,,,,,, +毛果珍珠花,Lyonia ovalifolia,李培元,203,19580929,陕西省,,,,无花有果,https://image.cvh.ac.cn/files/l/HHBG/HZ040865.jpg,,,,,,,,,, +,Lyonia ovalifolia var. hebecarpa,"Maire, E.E.",s.n.,12-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00327732.jpg,,,,,,,,,, +毛果珍珠花,Lyonia ovalifolia var. hebecarpa,施诗、凡强、石祥刚、谢行、李朋远,JGS-508,20100918,江西省吉安市,1538,山顶,灌木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00175427.jpg,,,,,,,,,, +毛国珍珠花,Lyonia ovalifolia var. hebecarpa,吴宝欢,张启彦,黄翠莹,于雷,LXP13-3203,20130728,湖南,,山坡、壤土、灌丛、常见种, 陆生、灌木、直立 ,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00209331.jpg,,,,,,,,,, +,Lyonia ovalifolia var. lanceolata,林业部林业科学研究所标本室,5,20000000,贵州,,,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00030925.jpg,,,,,,,,,, +狭叶珍珠花,Lyonia ovalifolia var. lanceolata,华东工作站同人,6306,19511027,安徽省,0,山谷丛林中,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0004284.jpg,,,,,,,,,, +狭叶珍珠花,Lyonia ovalifolia var. lanceolata,梁宝汉,84287,19430416,广东,210,山岗草地,常绿灌木,有花无果,https://image.cvh.ac.cn/files/l/SN/SN005923.jpg,,,,,,,,,, +绒毛珍珠花,Lyonia ovalifolia var. tomentosa,张桥蓉;孙旭伟,ZhangYH216,20200517,云南,2221,林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1551910.jpg,,,,,,,,,, +,Lyonia ovalifolia var. tomentosa,青藏队,74-5317,19740921,西藏自治区,,高山松林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00197005.jpg,,,,,,,,,, +绒毛珍珠花,Lyonia ovalifolia var. tomentosa,H.T.Tsai,52887,19330524,云南省 ,1700,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00080492.jpg,,,,,,,,,, +光叶珍珠花,Lyonia villosa,钟补勤,6022,19530729,西藏自治区,0,灌木中,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0004512.jpg,,,,,,,,,, +球花毛叶米饭花,Lyonia villosa,路端正,,20020906,西藏,2400,,,,https://image.cvh.ac.cn/files/l/BJFC/00014890.jpg,,,,,,,,,, +毛脉珍珠花,Lyonia villosa,巴山采集队,3289,20100722,陕西省,1201,灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059564.jpg,,,,,,,,,, +光叶珍珠花,Lyonia villosa var. sphaerantha,钟补勤,6022,19530729,西藏自治区,0,灌木中,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0004512.jpg,,,,,,,,,, +,Lyonia villosa var. sphaerantha,,11639,19380827,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0065334.jpg,,,,,,,,,, +光叶珍珠花,Lyonia villosa var. sphaerantha,H.T.Tsai,59664,19331004,云南省 ,3650,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0447330.jpg,,,,,,,,,, +,Lysimachia alternifolia,H.Hara et al.,6302957,19631130,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913191.jpg,,,,,,,,,, +,Lysimachia assamica,,,,,,,,,,,,,,,,,,, +藜状珍珠菜,Lysimachia chenopodioides,"张永田,郞楷永",820,19650721,西藏自治区,2100,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00171764.jpg,,,,,,,,,, +藜状珍珠菜,Lysimachia chenopodioides,官有才,NJWLS1639,20140315,云南,1369,无,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1454676.jpg,,,,,,,,,, +藜状珍珠菜,Lysimachia chenopodioides,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201228,20200724,西藏,2315,荒地上,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505337.jpg,,,,,,,,,, +临时救,Lysimachia congestiflora,生科院13级实习小组,lxp-13-04604,20140720,江西省吉安市,,山谷、壤土、溪边,陆生、草本、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00177064.jpg,,,,,,,,,, +临时救,Lysimachia congestiflora,张成,Zhang834,20210630,湖南,,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0053009.jpg,,,,,,,,,, +临时救,Lysimachia congestiflora,赵万义,刘忠成,叶矾,王晓阳,潘嘉文,LXP-13-12097,20150530,江西,,山谷、壤土、疏林、溪边, 陆生、草本、攀援状 ,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00203008.jpg,,,,,,,,,, +南亚过路黄,Lysimachia debilis,H.Ohashi etc.,771645,19770728,Topke Gola,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/185306.jpg,,,,,,,,,, +南亚过路黄,Lysimachia debilis,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201197,20200723,西藏,2217,石坡上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507160.jpg,,,,,,,,,, +南亚过路黄,Lysimachia debilis,黄向旭、钟智波,15991,20130611,西藏自治区,0~2641,山地、路旁、山谷,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0774800.jpg,,,,,,,,,, +延叶珍珠菜,Lysimachia decurrens,路端正,,19990820,云南,1700,,,,https://image.cvh.ac.cn/files/l/BJFC/00015729.jpg,,,,,,,,,, +延叶珍珠菜,Lysimachia decurrens,思茅区普查队,5308020600,20120610,云南省,1366,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0019260.jpg,,,,,,,,,, +延叶珍珠菜,Lysimachia decurrens,曾宪锋,ZXF45926,20190403,广东,320,山地路边,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0041085.jpg,,,,,,,,,, +,Lysimachia deltoidea,"Delavay, J.M.",119,1883-7-11,,,,,,https://image.cvh.ac.cn/files/l/P/P00649709.jpg,,,,,,,,,, +小寸金黄,Lysimachia deltoidea,陈杰,522623140914022 LY,20140914,贵州省,923.4,阴性、沙土、草丛、湿生、中温、野生植物,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0066525.jpg,,,,,,,,,, +小寸金黄,Lysimachia deltoidea,余奇,代文台,CIBYQ084B011,20190810,四川,2722,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1503661.jpg,,,,,,,,,, +不裂果香草,Lysimachia evalvis,陈伟烈,10789,1980.6.2,西藏省,1400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0018711.jpg,,,,,,,,,, +不裂果香草,Lysimachia evalvis,王启无,76509,193605,云南省,1500,mixed woods,,有花无果,https://image.cvh.ac.cn/files/l/KUN/185520.jpg,,,,,,,,,, +不裂果香草,Lysimachia evalvis,陈伟烈,16789,19800629,西藏自治区,1400,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01804606.jpg,,,,,,,,,, +多枝香草,Lysimachia laxa,李延辉,12627,19740708,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/042680.jpg,,,,,,,,,, +多枝香草,Lysimachia laxa,Yuan Xu,Xu130163,20130612,西藏自治区,0,路边岩石壁干旱处,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769934.jpg,,,,,,,,,, +多枝香草,Lysimachia laxa,H.Kanai etc.,721477,19720805,,2300,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/185962.jpg,,,,,,,,,, +,Lysimachia maritima,,,,,,,,,,,,,,,,,,, +多育星宿菜,Lysimachia prolifera,"H.Kanai,H.Ohashi,K.Iwatsuki,H.Ohba,Z.Iwatsuki & P.",5438,19720609,,2900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205000.jpg,,,,,,,,,, +多育星宿菜,Lysimachia prolifera,汪发缵,22935,19310516,四川省,3500,traid side,,有花无果,https://image.cvh.ac.cn/files/l/KUN/185752.jpg,,,,,,,,,, +多育星宿菜,Lysimachia prolifera,龙正昌、杨长铭,522628160516021LY,20160516,贵州省,740.6,草丛、中生、耐阴、沙土、中温,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0051010.jpg,,,,,,,,,, +深紫吊石苣苔,Lysionotus atropurpureus,韦玉乖,QNSY20182549,20180422,贵州省,590,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0029054.jpg,,,,,,,,,, +深紫吊石苣苔,Lysionotus atropurpureus,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11957,20161117,西藏,1059,路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445136.jpg,,,,,,,,,, +,Lysionotus chatungii,郭永杰,王雨华,杨立新,李姗,18CS16963,20180513,西藏,1566,常绿阔叶林,附生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489565.jpg,,,,,,,,,, +纤细吊石苣苔,Lysionotus gracilis,H. T. Tsal.,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00243793.jpg,,,,,,,,,, +纤细吊石苣苔,Lysionotus gracilis,陶德定,368,19730925,云南省,2200,林内灌木丛上附生,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0207836.jpg,,,,,,,,,, +大戟,Lysionotus gracilis,翟睿 苗琦 刘涛 蔡晓丽,BJTC009557,20190702,北京市,761,山坡,,有花有果,https://image.cvh.ac.cn/files/l/BJTC/BJTC009557.jpg,,,,,,,,,, +,Lysionotus levipes,"Yü, Tse-tsun",20454,26-Sep-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00067560.jpg,,,,,,,,,, +,Lysionotus metuoensis subsp. arunachalensis,,,,,,,,,,,,,,,,,,, +,Lysionotus palinensis,,,,,,,,,,,,,,,,,,, +毛枝吊石苣苔,Lysionotus pubescens,"郭永杰, 张桥蓉, 秦少发, 张凤琼",16CS14544,20161122,西藏,1631,河边孤岛状大岩石上,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1459257.jpg,,,,,,,,,, +毛枝吊石苣苔,Lysionotus pubescens,陶德定,705,19731011,云南省,0~2100,,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0550564.jpg,,,,,,,,,, +齿叶吊石苣苔,Lysionotus serratus,蔡磊;张品;陶丽丹;杨丰懋,KIBCL039B03,20181214,云南,1400,,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1562627.jpg,,,,,,,,,, +齿叶吊石苣苔,Lysionotus serratus,刘林翰,9183,1958/6/28,湖南,1000,,葡匐草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0328371.jpg,,,,,,,,,, +,Lysionotus serratus,"Esquirol, Joseph Henri (Rev. Père)",941,6-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00155034.jpg,,,,,,,,,, +,Lysionotus ziroensis,,,,,,,,,,,,,,,,,,, +,Mackaya indica,,,,,,,,,,,,,,,,,,, +,Macrosolen avenis,,,,,,,,,,,,,,,,,,, +鞘花,Macrosolen cochinchinensis,H.F.Sun,667,,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01725805.jpg,,,,,,,,,, +鞘花,Macrosolen cochinchinensis,红水河植物考察队,1808,19890527,云南省,850,南盘江边沟谷,,无花无果,https://image.cvh.ac.cn/files/l/PE/01985644.jpg,,,,,,,,,, +鞘花,Macrosolen cochinchinensis,"张寿洲,李良千等",280,20050419,广东省,250~300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01809492.jpg,,,,,,,,,, +,Macrosolen psilanthus,,,,,,,,,,,,,,,,,,, +,Madhuca longifolia,,,,,,,,,,,,,,,,,,, +,Maesa arunachalensis,,,,,,,,,,,,,,,,,,, +灰叶杜茎山,Maesa chisia,Yuan Xu,Xu130149,20130611,西藏自治区,0,路旁、灌丛中,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0768860.jpg,,,,,,,,,, +灰叶杜茎山,Maesa chisia,H.Hara etc.,7070,19670419,Samtengang,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/420580.jpg,,,,,,,,,, +密腺杜茎山,Maesa chisia,,889-32,,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS000236896.jpg,,,,,,,,,, +,Maesa lanceolata,James S.Miller et al.,8772,19961021,,1300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01492622.jpg,,,,,,,,,, +毛脉杜茎山,Maesa marioniae,弥渡普查队,5329250724,20120721,云南省,1900,,灌木,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0015024.jpg,,,,,,,,,, +毛脉杜茎山,Maesa marioniae,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14440,20161114,西藏,1702,公路边山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1446886.jpg,,,,,,,,,, +毛脉杜茎山,Maesa marioniae,"李恒, 李嵘, 刀志灵",1137,20071006,云南,,次生林,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1339623.jpg,,,,,,,,,, +,Maesa maxima,,,,,,,,,,,,,,,,,,, +,Maesa nayarii,,,,,,,,,,,,,,,,,,, +皱叶杜茎山,Maesa rugosa,方震东、张晓均、陈清、袁再杰,DJDC-303,20160417,云南省,1911,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000076.jpg,,,,,,,,,, +皱叶杜茎山,Maesa rugosa,C.W.Wang,66878,19351000,云南省 ,2500,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00093212.jpg,,,,,,,,,, +皱叶杜茎山,Maesa rugosa,"郭永杰, 王雨华, 杨立新, 李姗",18CS16957,20180513,西藏,1551,村旁,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484276.jpg,,,,,,,,,, +,Maesa truncata,,,,,,,,,,,,,,,,,,, +,Maesa ziroensis,,,,,,,,,,,,,,,,,,, +二色胀萼紫草,Maharanga bicolor,魏来、何毅,BNUXZ2016261,20160719,西藏自治区,2785,山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0041334.jpg,,,,,,,,,, +污花胀萼紫草,Maharanga emodi,魏来、郝加琛,15361,20150728,西藏自治区,3977,山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0041355.jpg,,,,,,,,,, +污花胀萼紫草,Maharanga emodi,高信芬、朱章明、鞠文彬、金伟涛,14693,20110729,西藏,3090,河谷灌丛路边,多年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0225039.jpg,,,,,,,,,, +,Maharanga emodi,M.Wakabayashi etc.,9730033,19970730,,2860,on shady wet places,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1224690.jpg,,,,,,,,,, +锦葵,Malva cathayensis,兰建林,201809184-2,20181009,山东,364,山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0047316.jpg,,,,,,,,,, +锦葵,Malva cathayensis,孟雪宁,1941074,20190829,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0023903.jpg,,,,,,,,,, +锦葵,Malva cathayensis,刘正宇、张军等,RQHZ4868-01,20170819,四川,2578,荒地,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0085072.jpg,,,,,,,,,, +,Malva pusilla,Fumihiro Konta,23720,20031203,,60,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01968560.jpg,,,,,,,,,, +圆叶锦葵,Malva pusilla,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,0-113,20180810,西藏,3685.7,河岸湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0193220.jpg,,,,,,,,,, +圆叶锦葵,Malva pusilla,姜林,473,19890820,陕西,,,,有花有果,https://image.cvh.ac.cn/files/l/SXU/00025226.jpg,,,,,,,,,, +野葵,Malva verticillata,杨金祥,1248,19590715,陕西省,1700,平坝,,无花有果,https://image.cvh.ac.cn/files/l/PE/01452085.jpg,,,,,,,,,, +中华野葵,Malva verticillata,曾宪锋,ZXF46273,20190407,广东,180,山地路边,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0041432.jpg,,,,,,,,,, +野葵,Malva verticillata,刘慎谔,4431,19511004,黑龙江省,150,房合旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01302202.jpg,,,,,,,,,, +中华野葵,Malva verticillata var. rafiqii,李宏庆等,SDP28858,20120520,上海市,,公路旁绿化带,,有花无果,https://image.cvh.ac.cn/files/l/CSH/0021049.jpg,,,,,,,,,, +中华野葵,Malva verticillata var. rafiqii,朱鑫鑫,王君,王美华,林庶,许敏,多吉,ZXX20348,20200615,西藏,3636,荒地,二年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507981.jpg,,,,,,,,,, +中华野葵,Malva verticillata var. rafiqii,曾宪锋,ZXF45987,20190403,广东,390,山村旁田边,草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0041146.jpg,,,,,,,,,, +,Malva xizangensis,,,,,,,,,,,,,,,,,,, +茄参,Mandragora caulescens,蒋桂华,2008120908-1,20081209,深圳,120,园中生长,草本,无花有果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0001948.jpg,,,,,,,,,, +茄参,Mandragora caulescens,朱大海 ,3880,20070611,四川省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/016368.jpg,,,,,,,,,, +茄参,Mandragora caulescens,倪志诚 汪永泽 次多 次旦,1797,19800906,西藏自治区,3600,山坡河边,草本,有花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0006618.jpg,,,,,,,,,, +矮生豆列当,Mannagettaea hummelii,甘青队,2022,1962/7/22,青海,3200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0229038.jpg,,,,,,,,,, +矮生豆列当,Mannagettaea hummelii,郭本兆 王为义,12174,19750824,青海省,3240,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/47788.jpg,,,,,,,,,, +矮生豆列当,Mannagettaea hummelii,张挺,刘成,冯明建,20CS19920,20200924,四川,3978,灌丛,寄生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1504976.jpg,,,,,,,,,, +定心藤,Mappianthus iodoides,富川县普查队,451123180915039LY,20180915,广西,500,黄棕壤;一般;野生,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00424108.jpg,,,,,,,,,, +定心藤,Mappianthus iodoides,喻勋林 林春松,4075,20040919,湖南省,350,沟谷中,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI046728.jpg,,,,,,,,,, +定心藤,Mappianthus iodoides,喻勋林、刘昂、邓创发,YK0166,20191112,湖南,700,山坡密林,藤本,无花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI065824.jpg,,,,,,,,,, +,Marmoritis complanata,,,,,,,,,,,,,,,,,,, +,Marmoritis pharica,,,,,,,,,,,,,,,,,,, +,Marmoritis rotundifolia,,,,,,,,,,,,,,,,,,, +大叶牛奶菜,Marsdenia koi,班戈17级采集队,BG018,20190513,湖南,,山谷,疏林,藤本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI075716.jpg,,,,,,,,,, +大叶牛奶菜,Marsdenia koi,"Tsang,Wai-Tak",630,1928/6/10,海南,,,藤本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0012202.jpg,,,,,,,,,, +大叶牛奶菜,Marsdenia koi,党成忠,1526,19811022,贵州省,1100,,,无花有果,https://image.cvh.ac.cn/files/l/HGAS/HGAS0075720.jpg,,,,,,,,,, +,Marsdenia oreophila,何海、王海峰、肖雅军、唐伟岚,JZG0431,20180924,四川,2026,,灌木,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273144.jpg,,,,,,,,,, +啄柱牛奶菜,Marsdenia oreophila,正安查办,87-1212,19870500,贵州,,生于海拔3000米以下疏林中,攀援灌木、小枝被白色柔毛,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0070962.jpg,,,,,,,,,, +喙柱牛奶菜,Marsdenia oreophila,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201518,20200805,西藏,2294,林下,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508550.jpg,,,,,,,,,, +,Marsdenia roylei,,,,,,,,,,,,,,,,,,, +绒毛蓝叶藤,Marsdenia tinctoria,黄德富,1382,19810904,贵州省,350,河谷阴处,,无花有果,https://image.cvh.ac.cn/files/l/HGAS/HGAS0075799.jpg,,,,,,,,,, +绒毛蓝叶藤,Marsdenia tinctoria,陈少卿,1774,19420703,广东省,,密林中,山谷,溪边,藤本攀援,无花有果,https://image.cvh.ac.cn/files/l/AU/AU047596.jpg,,,,,,,,,, +蓝叶藤,Marsdenia tinctoria,张守军、温丁朝,10-4106,20100115,贵州,670,森林,草本,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0171056.jpg,,,,,,,,,, +牛奶菜属,Marsdenia yarlungzangboensis,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11914,20161115,西藏,1848,短刺锥和毛曼青岗为主的亚热带常绿阔叶林林缘,藤本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1443568.jpg,,,,,,,,,, +云南单室茱萸,Mastixia pentandra subsp. chinensis,陈文允,纪运恒,普春霞,2007121,20071108,云南省,980,林中,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1236703.jpg,,,,,,,,,, +云南单室茱萸,Mastixia pentandra subsp. chinensis,,252,19901113,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00157103.jpg,,,,,,,,,, +,Mastixia pentandra subsp. chinensis,C. W. Wang,78528,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00368056.jpg,,,,,,,,,, +火烧花,Mayodendron igneum,何有忻,2-349,19780405,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI041377.jpg,,,,,,,,,, +火烧花,Mayodendron igneum,中越考察队,2710,19650228,西山,0,石灰山边,乔木 ,有花无果,https://image.cvh.ac.cn/files/l/KUN/0210368.jpg,,,,,,,,,, +火烧花,Mayodendron igneum,,68517,,海南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01155458.jpg,,,,,,,,,, +,Mazus dentatus,,,,,,,,,,,,,,,,,,, +莲座叶通泉草,Mazus lecomtei,青藏补点组,750126,19750601,西藏自治区,2820,林间空地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/472128.jpg,,,,,,,,,, +莲座叶通泉草,Mazus lecomtei,管中天,7344,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01395016.jpg,,,,,,,,,, +莲座叶通泉草,Mazus lecomtei,张挺,张书东,郭永杰,李昌洪,13CS7560,20130525,西藏,2950,开旷潮湿坡地,多年生草本,,https://image.cvh.ac.cn/files/l/KUN/1396065.jpg,,,,,,,,,, +通泉草,Mazus pumilus,曾怀德,16720,19280201,香港,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0572730.jpg,,,,,,,,,, +通泉草,Mazus pumilus,邵剑文 李真 李永权 章伟,ANUB00359,20160311,安徽省,217.523,农田,,有花无果,https://image.cvh.ac.cn/files/l/ANUB/ANUB000192.jpg,,,,,,,,,, +通泉草,Mazus pumilus,张婷,SBSGC0047,20190521,贵州,890,,,有花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0009891.jpg,,,,,,,,,, +,Mazus pumilus var. macrocalyx,毛品一,1143,19520607,云南省,2700,斜坡沙石地乾燥,,有花无果,https://image.cvh.ac.cn/files/l/KUN/472115.jpg,,,,,,,,,, +大萼通泉草,Mazus pumilus var. macrocalyx,梁向日,69137,19361116,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00053213.jpg,,,,,,,,,, +大萼通泉草,Mazus pumilus var. macrocalyx,黄志,31798,19320323,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00053214.jpg,,,,,,,,,, +西藏通泉草,Mazus surculosus,李鸣冈,2795,19400603,云南省 ,0~2200,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0572871.jpg,,,,,,,,,, +西藏通泉草,Mazus surculosus,,8122,19600414,云南省,1200,水沟边沟谷,,有花无果,https://image.cvh.ac.cn/files/l/KUN/472211.jpg,,,,,,,,,, +西藏通泉草,Mazus surculosus,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201022,20200719,西藏,2208,屋后荒地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507235.jpg,,,,,,,,,, +滇芹,Meeboldia yunnanensis,汪永泽,79177,19790804,西藏自治区,3900,石缝,少,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0005064.jpg,,,,,,,,,, +滇芹,Meeboldia yunnanensis,邱炳云,77689,1977-9 1,云南省,1900,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094964.jpg,,,,,,,,,, +,Meeboldia yunnanensis,"Forrest, George",13263,14-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00000235.jpg,,,,,,,,,, +高河菜,Megacarpaea delavayi,蔡希陶,58023,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0499315.jpg,,,,,,,,,, +高河菜,Megacarpaea delavayi,勘测队,,19550000,黑龙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00328898.jpg,,,,,,,,,, +高河菜,Megacarpaea delavayi,张襄明,842,19581025,陕西省,420,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00328897.jpg,,,,,,,,,, +,Megacarpaea polyandra,张永洪,李国栋,王晓雄,SunH-07ZX-2220,20081003,四川,4696,高山灌丛,草甸,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1236277.jpg,,,,,,,,,, +大钟花,Megacodon stylophorus,葛斌杰、钟鑫、黄艳波、王琦,GBJ06288,20170811,西藏,3978,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0144369.jpg,,,,,,,,,, +大钟花,Megacodon stylophorus,方文培,1043,19280527,重庆市,2333~2666,At roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440222.jpg,,,,,,,,,, +大钟花,Megacodon stylophorus,C.W.Wang,68657,19350800,云南省,3600,,herbs,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 009475.jpg,,,,,,,,,, +双果荠,Megadenia pygmaea,吴玉虎等,4702,19900726,青海省,3380,岩下空隙处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350795.jpg,,,,,,,,,, +双果荠,Megadenia pygmaea,王作宾,13191,1947/7/15,宁夏,2520,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0070806.jpg,,,,,,,,,, +双果荠,Megadenia pygmaea,钟态序,231,19910729,甘肃省,2200,沟边湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01604743.jpg,,,,,,,,,, +大花毛鳞菊,Melanoseris atropurpurea,杨文光,DT7353,20190802,四川,3479,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1514700.jpg,,,,,,,,,, +,Melanoseris atropurpurea,,2709,19740920,西藏自治区,3900,高山灌丛草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106605.jpg,,,,,,,,,, +,Melanoseris atropurpurea,董洪进,王泽欢等,405,20110914,云南省,2800,roadside,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227617.jpg,,,,,,,,,, +,Melanoseris beesiana,PE西藏队,PE5904,20170905,西藏自治区,3020~3460,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890436.jpg,,,,,,,,,, +,Melanoseris beesiana,"张挺, 刘成, 亚吉东",18CS17601,20180912,西藏,3289,灌丛林中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484226.jpg,,,,,,,,,, +,Melanoseris bracteata,胡国雄,张宪春等,1209024,20120907,西藏自治区,,Roadside,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227678.jpg,,,,,,,,,, +,Melanoseris bracteata,"张挺, 刘成, 亚吉东",18CS17618,20180913,西藏,2717,山坡灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484212.jpg,,,,,,,,,, +,Melanoseris cyanea,Norbert Kilian etc.,10511,20120819,四川省,3200~3250,"Rhododendron-Quercus scrub,red sandstone",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252738.jpg,,,,,,,,,, +蓝花毛鳞菊,Melanoseris cyanea,张桥蓉,蒋婷,李国辉,王昆仑,ZhangYH149,20191124,云南,2362,灌草丛中,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1489090.jpg,,,,,,,,,, +,Melanoseris cyanea,胡国雄,陈又生等,1209100,20120922,西藏自治区,,Roadside,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227689.jpg,,,,,,,,,, +,Melanoseris graciliflora,彭玉兰、涂卫国、余春丽,Gaoxf702,20080823,四川,2978,坡地,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0247436.jpg,,,,,,,,,, +,Melanoseris graciliflora,Harry Smith,10972,19340408,,3400,in prato herboso-fruticoso,,有花有果,https://image.cvh.ac.cn/files/l/PE/02112670.jpg,,,,,,,,,, +细莴苣,Melanoseris graciliflora,"蔡杰, 郭云刚, 张凤琼, 李梅娟, 李昌洪",14CS9717,20141107,云南,,常绿阔叶林溪边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375902.jpg,,,,,,,,,, +,Melanoseris jilongensis,,,,,,,,,,,,,,,,,,, +黑苞毛鳞菊,Melanoseris lessertiana,张挺,刘成,何华杰,19CS18726,20190910,西藏,4452,高山灌草丛,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1505995.jpg,,,,,,,,,, +,Melanoseris likiangensis,Norbert Kilian etc.,10808,20120823,四川省,2700,steep slope with secondary grassy and herbaceous vegetation,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252716.jpg,,,,,,,,,, +缘毛毛鳞菊,Melanoseris macrantha,"张挺, 刘成, 亚吉东",18CS17681,20180916,西藏,3576,西藏冷杉,垂枝柏林,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1486560.jpg,,,,,,,,,, +,Melanoseris macrantha,高云东,邓亨宁,黎怀成,THP-KD-2024,20170804,四川,2800~3000,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251605.jpg,,,,,,,,,, +,Melanoseris macrantha,高云东,邓亨宁,黎怀成,THP-KD-2024,20170804,四川省,2800~3000,库西绒村,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251606.jpg,,,,,,,,,, +,Melanoseris macrocephala,PE西藏队,PE6543,20170912,西藏自治区,3588,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891301.jpg,,,,,,,,,, +头嘴菊,Melanoseris macrorhiza,"刘成, 亚吉东, 迟建才",15CS10162,20150611,新疆,,路上方草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375944.jpg,,,,,,,,,, +,Melanoseris macrorhiza,胡国雄,石松林等,1209101,20120922,西藏自治区,,Dry slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227650.jpg,,,,,,,,,, +,Melanoseris pectiniformis,,,,,,,,,,,,,,,,,,, +,Melanoseris qinghaica,,,,,,,,,,,,,,,,,,, +康滇毛鳞菊,Melanoseris souliei,张挺,郭永杰,吴之坤,姜虹,李贵能,16CS12672,20160821,四川,3958,公路边山坡,二年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1437356.jpg,,,,,,,,,, +,Melanoseris souliei,"杨亲二,袁琼",Yangqe2458,20080907,云南省,4000,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017892.jpg,,,,,,,,,, +,Melanoseris souliei,Norbert Kilian etc.,10941,20120825,四川省,3900,Scree like roadside open stony slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252699.jpg,,,,,,,,,, +,Melanoseris tenuis,王泽欢,陈丽等,HC484,20120926,云南省,2500,roadside,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227395.jpg,,,,,,,,,, +,Melanoseris tenuis,胡国雄,张宪春等,1209022,20120907,西藏自治区,,路边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227672.jpg,,,,,,,,,, +,Melanoseris tenuis,"张挺, 刘成, 亚吉东",18CS17607,20180913,西藏,2714,山坡草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484220.jpg,,,,,,,,,, +西藏毛鳞菊,Melanoseris violifolia,PE西藏队,PE6409,20170911,西藏自治区,2969,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01891292.jpg,,,,,,,,,, +,Melanoseris yunnanensis,高云东,邓亨宁,黎怀成,THP-KD-2084,20170804,四川,2800~3000,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251601.jpg,,,,,,,,,, +,Melanoseris yunnanensis,高云东,邓亨宁,黎怀成,THP-KD-4710,20170809,四川省,2800~3000,菜玉村后沟,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0252402.jpg,,,,,,,,,, +,Melanoseris yunnanensis,FLPH Tibet Expedition,12-1488,20120917,西藏自治区,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967190.jpg,,,,,,,,,, +楝,Melia azedarach,,,19650516,安徽,,,乔木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM708200130.jpg,,,,,,,,,, +楝树,Melia azedarach,Joseph P.W.Woo & T.K.Woo,889,19721115,香港,,around a small village in the middle of fish ponds,,有花有果,https://image.cvh.ac.cn/files/l/PE/02064696.jpg,,,,,,,,,, +楝树,Melia azedarach,黄河调查队,294,19570521,山西省,430,路旁阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082269.jpg,,,,,,,,,, +,Melia dubia,C.O.Levine,486,19170320,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850289.jpg,,,,,,,,,, +,Melia dubia,S.K.Lau,27753,19360823,海南省 ,0,gree in thickets,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0501918.jpg,,,,,,,,,, +南岭楝树,Melia dubia,裴盛基,95095,1961/8/12,云南省,50,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0278698.jpg,,,,,,,,,, +,Melicope glomerata,裴盛基,9282,19590815,云南省,700,林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0518307.jpg,,,,,,,,,, +,Melicope lunu-ankenda,,,,,,,,,,,,,,,,,,, +三脚龟,Melicope pteleifolia,Ming-Jer Jung,2758,20080429,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01983749.jpg,,,,,,,,,, +三桠苦,Melicope pteleifolia,张代贵,y1101,20090721,广东湛江,,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU66905.jpg,,,,,,,,,, +三桠苦,Melicope pteleifolia,唐国旺、李紫默,TangGW1233,20210315,海南,130,热带季风阔叶林林地,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1556968.jpg,,,,,,,,,, +三叶蜜茱萸,Melicope triphylla,M. Ramos,,15-Jun,"Luzon, Province of ",,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00043222.jpg,,,,,,,,,, +三叶蜜茱萸,Melicope triphylla,F.A. McClure,33,25-Aug,"Luzon, Benguet Provi",,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00043227.jpg,,,,,,,,,, +三叶蜜茱萸,Melicope triphylla,王金英,邱竹君,刘颖艺,WJY0132,20180814,福建,43~201.3,袋栽,灌木,无花有果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0002002.jpg,,,,,,,,,, +蜜蜂花,Melissa axillaris,永福县普查队,450326130803027LY,20130803,广西壮族自治区,360,草丛,路旁,黄棕壤,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0152567.jpg,,,,,,,,,, +蜜蜂花,Melissa axillaris,青藏补点组,1219,19750803,西藏自治区,2480,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/51834.jpg,,,,,,,,,, +蜜蜂花,Melissa axillaris,曾宪锋,ZXF9199,2010/4/21,广东省,420,山地、山谷,,有花,https://image.cvh.ac.cn/files/l/CZH/CZH0005075.jpg,,,,,,,,,, +黄蜜蜂花,Melissa flava,青藏队,6650,19750630,西藏自治区,2200,雪布岗阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00787695.jpg,,,,,,,,,, +黄蜜蜂花,Melissa flava,,728,19590802,江苏省,2850,林下小湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00787688.jpg,,,,,,,,,, +马松子,Melochia corchorifolia,王功范,1-0650,20030804,贵州省,650,山谷灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01610221.jpg,,,,,,,,,, +马松子,Melochia corchorifolia,侯元同,郭成勇,王靖,201408310-2,20140831,湖北,62,林缘,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0041040.jpg,,,,,,,,,, +,Melochia corchorifolia,N.Sheng & al.,T017,19961115,江苏,,山坡水塘边,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00602613.jpg,,,,,,,,,, +,Melodinus cochinchinensis,"Henry, A.",11944,,,,,,,https://image.cvh.ac.cn/files/l/E/E00100163.jpg,,,,,,,,,, +思茅山橙,Melodinus cochinchinensis,李剑武,3042,20130504,云南,1950,山地雨林,藤本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028339.jpg,,,,,,,,,, +思茅山橙,Melodinus cochinchinensis,毛品一,7132,1955/11/7,云南省,1630,,藤本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0203935.jpg,,,,,,,,,, +假薄荷,Mentha asiatica,林有润,1447,19741017,青海省,2200,山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/217649.jpg,,,,,,,,,, +假薄荷,Mentha asiatica,许兆然,DH4419,1986,广西壮族自治区,1000~700,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/217702.jpg,,,,,,,,,, +假薄荷,Mentha asiatica,崔友文,1975,19500727,河北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/217634.jpg,,,,,,,,,, +薄荷,Mentha canadensis,秦玉婧,XT113,20200912,山西,1646,草地,,有花无果,https://image.cvh.ac.cn/files/l/SXU/00030063.jpg,,,,,,,,,, +薄荷,Mentha canadensis,李振宇等 ,871852,19870820,四川省,820,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/007560.jpg,,,,,,,,,, +亚洲薄荷,Mentha canadensis,塔里木大学资源调查组,TD-01545,20070728,新疆,2091米,水边,草本,有花有果,https://image.cvh.ac.cn/files/l/TARU/TARU00164.jpg,,,,,,,,,, +欧薄荷,Mentha longifolia,,,19760711,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0033112.jpg,,,,,,,,,, +欧薄荷,Mentha longifolia,戴克敏,1003,19570926,上海市,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00223453.jpg,,,,,,,,,, +欧薄荷,Mentha longifolia,李馨,78405,19580818,四川省,2300,沟边,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00243822.jpg,,,,,,,,,, +留兰香,Mentha spicata,刘瑶,4,20170901,浙江,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0016879.jpg,,,,,,,,,, +留兰香,Mentha spicata,周太炎等,651140,19650721,新疆维吾尔自治区,900,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00244932.jpg,,,,,,,,,, +留兰香,Mentha spicata,陈少卿,17811,19610405,海南省,0,,草本,匍匐,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0583513.jpg,,,,,,,,,, +睡菜,Menyanthes trifoliata,蔡希陶,50925,19320519,云南省 ,2000,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00060164.jpg,,,,,,,,,, +睡菜,Menyanthes trifoliata,安海成,AnHC0323,20170626,吉林,335,沼泽,多年生水生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437224.jpg,,,,,,,,,, +睡菜,Menyanthes trifoliata,张重岭,199,20180625,内蒙古,991,沼泽,,有花无果,https://image.cvh.ac.cn/files/l/YAK/YAK0007702.jpg,,,,,,,,,, +篱栏网,Merremia hederacea,Shih-hsun Huang,,19941126,台湾省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00024810.jpg,,,,,,,,,, +篱栏网,Merremia hederacea,Wang-Tso-pin,12010,1939/9/23,湖北省,160,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0053620.jpg,,,,,,,,,, +篱栏网(鱼黄草、小花山猪菜),Merremia hederacea,侯元同,郭成勇,侯元免,曹灵杰,20180426550-2,20180502,海南,15,河边湿草地,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0048888.jpg,,,,,,,,,, +毛山猪菜,Merremia hirta,钟义,4724,,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0553890.jpg,,,,,,,,,, +毛山猪菜,Merremia hirta,C.W.Wang,80737,19361100,云南省,,,Trailing & climbing,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00211218.jpg,,,,,,,,,, +,Merremia hirta,钟观光,0,19181022,广东,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0058540.jpg,,,,,,,,,, +山土瓜,Merremia hungaiensis,邢吉庆,343,19590507,陕西省,0~800,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0553927.jpg,,,,,,,,,, +山土瓜,Merremia hungaiensis,建水县普查队,5325240295,20190424,云南,1967,路边,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1524592.jpg,,,,,,,,,, +山土瓜,Merremia hungaiensis,,106,,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00052310.jpg,,,,,,,,,, +西伯利亚鱼黄草,Merremia sibirica,王玉雷,444,19770406,海南省,,岛上平地,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00027040.jpg,,,,,,,,,, +北鱼黄草,Merremia sibirica,谢月英、农东新、彭玉德,451481151011013LY,20151011,广西壮族自治区,382,草丛,林缘,石灰土,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0177096.jpg,,,,,,,,,, +毛籽鱼黄草,Merremia sibirica,K.M.Liou,3676,19340909,山西省,1155,Dans les bois,,无花有果,https://image.cvh.ac.cn/files/l/PE/01142876.jpg,,,,,,,,,, +山猪菜,Merremia umbellata subsp. orientalis,中德采集队,1716,19591104,海南省 ,0~150,,草质缠绕,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0554044.jpg,,,,,,,,,, +山猪菜,Merremia umbellata subsp. orientalis,郭惠珠,蔡邦平,陈小辉,3464,20131108,福建,,疏林下,藤本,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0009550.jpg,,,,,,,,,, +山猪菜,Merremia umbellata subsp. orientalis,,1973-268,19731021,贵州省,0,,藤本攀援,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0554119.jpg,,,,,,,,,, +掌叶鱼黄草,Merremia vitifolia,C.W.Wang,73254,19350000,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00211294.jpg,,,,,,,,,, +掌叶鱼黄草,Merremia vitifolia,农东新、莫连兰、农振欢,451229180426087LY,20180426,广西,200,灌丛,路旁,黄棕壤,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0181761.jpg,,,,,,,,,, +掌叶鱼黄草,Merremia vitifolia,姜恕等,9926,19610812,四川省,1600,河谷杂灌丛阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01142994.jpg,,,,,,,,,, +异叶梁王茶,Metapanax davidii,张卢水、毛星星,SUZLS005208,20171101,重庆,1392,阔叶林下,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1557475.jpg,,,,,,,,,, +异叶梁王茶,Metapanax davidii,W.P.Fang,2125,19280711,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00090000.jpg,,,,,,,,,, +异叶梁王茶,Metapanax davidii,H.T. Tsai,62632,19340713,云南省 ,1400,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00089995.jpg,,,,,,,,,, +梁王茶,Metapanax delavayi,陈真传,1098,20010820,云南省,2970,,,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00070378.jpg,,,,,,,,,, +,Metapanax delavayi,武考队,308,19790814,福建省,700,疏林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00911882.jpg,,,,,,,,,, +梁王茶,Metapanax delavayi,Y.Tsiang,11241,19330000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00083123.jpg,,,,,,,,,, +,Metashangrilaia forrestii,,,,,,,,,,,,,,,,,,, +,Meyna laxiflora,,,,,,,,,,,,,,,,,,, +,Meyna spinosa,,,,,,,,,,,,,,,,,,, +小果草,Microcarpaea minima,Miyoshi Furuse,43478,19650804,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01261488.jpg,,,,,,,,,, +小果草,Microcarpaea minima,H.Migo,,19351103,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00235863.jpg,,,,,,,,,, +小果草,Microcarpaea minima,李延辉,12253,19740616,云南省,800~700,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/632331.jpg,,,,,,,,,, +微果草,Microcaryum pygmaeum,方震东,118,19870710,云南省,4450,流石滩灌丛,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002993.jpg,,,,,,,,,, +微果草,Microcaryum pygmaeum,余奇、熊先华、李琳霖,THP-KD-5106,20170815,四川,1687~1736,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243381.jpg,,,,,,,,,, +微果草,Microcaryum pygmaeum,四川植被调查队,3802,1973-8 8,四川省,4100,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0119279.jpg,,,,,,,,,, +小果滨藜,Microgynoecium tibeticum,T.P.Wang,7619,19370822,甘肃省,4000,wasted place,,有花有果,https://image.cvh.ac.cn/files/l/PE/02086913.jpg,,,,,,,,,, +小果滨藜,Microgynoecium tibeticum,,138,19800331,四川,,,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM703400397.jpg,,,,,,,,,, +小果滨藜,Microgynoecium tibeticum,青藏队,76-233,19760824,西藏自治区,4400,沙质地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00541038.jpg,,,,,,,,,, +大菅,Micromelum falcatum,"Tsang,Wai-Tak L.U.",933,19270724,海南省,,In big ravine,,无花无果,https://image.cvh.ac.cn/files/l/PE/00691065.jpg,,,,,,,,,, +大管,Micromelum falcatum,"Lau, S.K.",4877,1934-12-,海南; HIANAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00043748.jpg,,,,,,,,,, +大管,Micromelum falcatum,高锡朋,54818,19341121,广东,,,on *,shrub,有花有果,https://image.cvh.ac.cn/files/l/SN/SN006269.jpg,,,,,,,,,, +小芸木,Micromelum integerrimum,C.T.Hwang,486,,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00691125.jpg,,,,,,,,,, +小芸木,Micromelum integerrimum,中越考察队,447,19640214,,1400~1450,谷沟灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01692384.jpg,,,,,,,,,, +小芸木,Micromelum integerrimum,"郭永杰, 聂细转, 黄秋月, 李昌洪",12CS4951,20120320,云南,,次生林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1331921.jpg,,,,,,,,,, +,Micromelum minutum,Kai Larsen & Supee S.Larsen,33610,19740505,,1~300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01692390.jpg,,,,,,,,,, +,Micromelum minutum,Woon Young Chun,7104,19200704,海南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/137086404.jpg,,,,,,,,,, +,Micromeria biflora,,10435,19380611,湖南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0047648.jpg,,,,,,,,,, +,Micromeria biflora,张永田,78136,19781016,云南省,2000,山坡草地,草本亚灌木,有花无果,https://image.cvh.ac.cn/files/l/FJSI/004861.jpg,,,,,,,,,, +,Micromeria biflora,"Maire, Edouard-Ernest",s.n.,11-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00208028.jpg,,,,,,,,,, +大花云南冠唇花,Microtoena delavayi,,1095,1972-7 1,四川省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0122079.jpg,,,,,,,,,, +,Microtoena delavayi,余奇;代文台,CIBYQ088B010,20190814,四川,2082,,草本,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0245365.jpg,,,,,,,,,, +黄花冠唇花,Microtoena delavayi,许溯桂,4931,19590911,云南省,2000,常绿阔叶林下阴湿处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/217786.jpg,,,,,,,,,, +,Microtoena wardii,"藏东南考察队(金效华,刘冰,权旭等)",SET-ET479,20090820,西藏自治区,2409,under forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/01887386.jpg,,,,,,,,,, +大孔微孔草,Microula bhutanica,郭先林、贾圣斌,2037900,20200716,四川,4632,,,有花有果,https://image.cvh.ac.cn/files/l/SZ/02037900.jpg,,,,,,,,,, +大孔微孔草,Microula bhutanica,"D.E.Boufford,M.J.",26583,19950620,青海省,4200~4100,narrow gorge through steep limestone,,有花无果,https://image.cvh.ac.cn/files/l/KUN/97800.jpg,,,,,,,,,, +大孔微孔草,Microula bhutanica,方震东、和光、刘琳、郑群英、李红、史效武、陈洁、赵卫东,K-359,20020627,云南省,4000,亚高山草甸,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006759.jpg,,,,,,,,,, +,Microula leucantha,"Boufford D. E., Chen J. H., Kelley S. L., Li J., R",31518,2004/8/1,,3925,,,,https://image.cvh.ac.cn/files/l/HUH/A00306956.jpg,,,,,,,,,, +毛花卵叶微孔草,Microula ovalifolia var. pubiflora,PE西藏考察队,7299,20180615,西藏自治区,4154~4259,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332554.jpg,,,,,,,,,, +毛花卵叶微孔草,Microula ovalifolia var. pubiflora,王辰,,20060826,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0041857.jpg,,,,,,,,,, +毛花卵叶微孔草,Microula ovalifolia var. pubiflora,伍凯、郝加琛,YN020,20130814,云南省,3721,路边草甸,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0041854.jpg,,,,,,,,,, +大花甘青微孔草,Microula pseudotrichocarpa var. grandiflora,T.T.Yu,7629,19370806,四川省,2800,margin of woods grassy slope,herb,有花有果,https://image.cvh.ac.cn/files/l/PE/01339773.jpg,,,,,,,,,, +大花甘青微孔草,Microula pseudotrichocarpa var. grandiflora,彭玉兰、张君议、杨焰,THP-KD-1799,20170712,四川,3349~3382,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253042.jpg,,,,,,,,,, +大花甘青微孔草,Microula pseudotrichocarpa var. grandiflora,张永田 郎楷永/Y.T.Chang & K.Y.Lang,1969,19650819,西藏自治区,4600,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01339777.jpg,,,,,,,,,, +,Microula pustulosa,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-014-B25,20160804,四川,,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00609842.jpg,,,,,,,,,, +小果微孔草,Microula pustulosa,刘全儒,QH2014287,20140708,青海,3600,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0050000.jpg,,,,,,,,,, +小果微孔草,Microula pustulosa,何叶琪 ,王宏杰,8093,1974/8/19,四川省,4200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0300680.jpg,,,,,,,,,, +刚毛小果微孔草,Microula pustulosa var. setulosa,陶德定/D.D.Tao,10844,19760812,西藏自治区,4300,公路旁砾石地上,披散草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01339781.jpg,,,,,,,,,, +刚毛小果微孔草,Microula pustulosa var. setulosa,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20672,20200625,西藏,3901,高山灌丛草地,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1554422.jpg,,,,,,,,,, +刚毛小果微孔草,Microula pustulosa var. setulosa,吴玉虎,34691-A,20050721,青海省,4445,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0218189.jpg,,,,,,,,,, +,Microula sikkimensis,T.T.Yu,7630,19370807,四川省,2800,margin of woods grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354023.jpg,,,,,,,,,, +微孔草,Microula sikkimensis,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/078709.jpg,,,,,,,,,, +微孔草,Microula sikkimensis,,20102,20020704,贵州,,,,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0071735.jpg,,,,,,,,,, +小花西藏微孔草,Microula tibetica,刘照光,7637,19740817,四川省,4500,生于高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354073.jpg,,,,,,,,,, +小花西藏微孔草,Microula tibetica,郭本兆,3376,1956/8/7,甘肃省,3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0075767.jpg,,,,,,,,,, +小花西藏微孔草,Microula tibetica,郝加琛,15186,20150716,西藏自治区,4990,岩石缝,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0042899.jpg,,,,,,,,,, +光果西藏微孔草,Microula tibetica var. laevis,青藏队,76-8532,19760719,西藏自治区,4850,山坡流砂中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913783.jpg,,,,,,,,,, +光果西藏微孔草,Microula tibetica var. laevis,郝加琛、周瑜,16922,20160805,新疆维吾尔自治区,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0042883.jpg,,,,,,,,,, +小花西藏微孔草,Microula tibetica var. pratensis,郝加琛,15186,20150716,西藏自治区,4990,岩石缝,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0042899.jpg,,,,,,,,,, +小花西藏微孔草,Microula tibetica var. pratensis,刘全儒,QH2012176,20120706,青海省,4122,村边,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0042908.jpg,,,,,,,,,, +小花西藏微孔草,Microula tibetica var. pratensis,刘照光,7637,19740817,四川省,4500,生于高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354073.jpg,,,,,,,,,, +薇甘菊,Mikania micrantha,曾宪锋,ZXF18568,20151219,海南省,,平地,草质藤本,有花,https://image.cvh.ac.cn/files/l/CZH/CZH0011216.jpg,,,,,,,,,, +,Mikania micrantha,Shiu Ying Hu,6146,19681107,香港,,Just begin to open:on fence of railway station,,有花无果,https://image.cvh.ac.cn/files/l/PE/01710907.jpg,,,,,,,,,, +薇甘菊,Mikania micrantha,曾宪锋,ZXF23823,20161128,福建省,12,路旁,草质藤本,有花,https://image.cvh.ac.cn/files/l/CZH/CZH0015673.jpg,,,,,,,,,, +,Mimusops elengi,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180563,20181130,Mon State,,,Tree,有花无果,https://image.cvh.ac.cn/files/l/KUN/1498748.jpg,,,,,,,,,, +伊兰芷硬胶,Mimusops elengi,罗献瑞,2105,19830127,海南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0467165.jpg,,,,,,,,,, +伊兰芷硬胶,Mimusops elengi,孙洪范,7450,19601125,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0467172.jpg,,,,,,,,,, +长白米努草,Minuartia macrocarpa,周太炎等,650165,19650503,新疆维吾尔自治区,1600,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00219895.jpg,,,,,,,,,, +苔漆姑草,Minuartia macrocarpa,路端正,19970903,19970903,新疆维吾尔自治区 ,2100,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00039910.jpg,,,,,,,,,, +,Minuartia macrocarpa,温带森林组,330,19620721,吉林省,2600,山顶 多生于山顶斜坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01614635.jpg,,,,,,,,,, +,Miquelia assamica,,,,,,,,,,,,,,,,,,, +紫茉莉,Mirabilis jalapa,王华锋,53,20061004,湖南省,1200~900,林丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230843.jpg,,,,,,,,,, +紫茉莉,Mirabilis jalapa,谭策铭,745,20001022,江西,50,栽培,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0058701.jpg,,,,,,,,,, +紫茉莉,Mirabilis jalapa,青格勒,152502190808011LY,20190808,内蒙古,1026,,一年生草本植物,无花有果,https://image.cvh.ac.cn/files/l/IATM/IATM0004334.jpg,,,,,,,,,, +盖裂果,Mitracarpus hirtus,曾宪锋,ZXF12597,20120730,江西省,,平原,一年生直立草本,,https://image.cvh.ac.cn/files/l/CZH/CZH0017581.jpg,,,,,,,,,, +盖裂果,Mitracarpus hirtus,王发国,RQHN02608,20141009,澳门,50,山坡荒地,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0125002.jpg,,,,,,,,,, +盖裂果,Mitracarpus hirtus,曾宪锋,ZXF28416,20170712,福建省,25,路旁,一年生直立草本,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0023961.jpg,,,,,,,,,, +三脉种阜草,Moehringia trinervia,W.Bartoszek et al.,,20080506,,300,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900639.jpg,,,,,,,,,, +三脉种阜草,Moehringia trinervia,孙航,周浙昆等,4298,19930306,西藏自治区,2000,under forest,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0512732.jpg,,,,,,,,,, +三脉种阜草,Moehringia trinervia,刘继孟,10207,1951/7/26,甘肃省 ,1800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0021590.jpg,,,,,,,,,, +独丽花,Moneses uniflora,青甘队,3356,19600718,甘肃省,2700,阴坡林间空地林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00058797.jpg,,,,,,,,,, +独丽花,Moneses uniflora,张重岭,0453-(2),198607,内蒙古自治区,,针叶林下,,无花有果,https://image.cvh.ac.cn/files/l/YAK/0003855.jpg,,,,,,,,,, +独丽花,Moneses uniflora,太阳坪队,337,19920619,湖北省,1600,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0092762.jpg,,,,,,,,,, +,Monosis talaumifolia,,,,,,,,,,,,,,,,,,, +,Monosis volkameriifolia,"Esquirol, J.",2679,11-Mar,,,,,,https://image.cvh.ac.cn/files/l/E/E00413333.jpg,,,,,,,,,, +水晶兰,Monotropa uniflora,赵鑫磊,辛晓伟,Lilan856,20151025,安徽,1016,温带针叶林,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1438269.jpg,,,,,,,,,, +水晶兰,Monotropa uniflora,花志祥、胡超、 蒋凯,HCC017,20150411,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0090110.jpg,,,,,,,,,, +水晶兰,Monotropa uniflora,谭策铭,易桂花,06362A,20060414,江西省,1000,山谷林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JJF/00026086.jpg,,,,,,,,,, +球果假沙晶兰,Monotropastrum humile,韦家福,方鼎,32322,19770512,广西壮族自治区,1600,,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI027329.jpg,,,,,,,,,, +球果假沙晶兰,Monotropastrum humile,朱鑫鑫;王雨鑫;梁俊生;甄爱国,ZXX19530,20190511,湖北,1023,亚热带针阔混交林,林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1482267.jpg,,,,,,,,,, +球果假沙晶兰,Monotropastrum humile,廖文波、赵万义、杨文晟,LXP13-5441,20140410,湖南,,山谷、腐殖土、疏林、河边稀有种, 腐生、草本、直立 ,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00207387.jpg,,,,,,,,,, +白花刺续断,Morina alba,陈晓澄等,Chenxc-167,20170830,西藏,4085,灌木丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00018059.jpg,,,,,,,,,, +江才嘎保,Morina alba,G.Forrest,27124,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0499181.jpg,,,,,,,,,, +白花刺续断,Morina alba,,,1970,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM718900146.jpg,,,,,,,,,, +绿花刺参,Morina chlorantha,王为义等,296,19850618,青海省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/109695.jpg,,,,,,,,,, +,Morina chlorantha,吴中伦,40449,19590615,云南,3300,火烧迹地及林下,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00038153.jpg,,,,,,,,,, +,Morina chlorantha,"Forrest, G.",2482,6-Jun,,,,,,https://image.cvh.ac.cn/files/l/P/P02284031.jpg,,,,,,,,,, +青海刺参,Morina kokonorica,贾慎修,384,19510909,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01165061.jpg,,,,,,,,,, +青海刺参,Morina kokonorica,,,19810000,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/067246.jpg,,,,,,,,,, +青海刺参,Morina kokonorica,,A87-141,87.08.03,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00019954.jpg,,,,,,,,,, +,Morina nepalensis subsp. delavayi,"王泽欢,陈丽",370,20110625,四川省,3225,on grass slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01916921.jpg,,,,,,,,,, +,Morina nepalensis subsp. nepalensis,,,,,,,,,,,,,,,,,,, +黄木巴戟,Morinda angustifolia,郭绍荣,,,云南省,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0017015.jpg,,,,,,,,,, +黄木巴戟,Morinda angustifolia,李剑武,李剑武3064,201412,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/BJM/0215218.jpg,,,,,,,,,, +黄木巴戟,Morinda angustifolia,刘恩德,1689,20060422,,740,河边林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1204706.jpg,,,,,,,,,, +,Morinda coreia,,,,,,,,,,,,,,,,,,, +长序羊角藤,Morinda lacunosa,"刘成, 亚吉东",18CS17279,20181124,西藏,1735,常绿阔叶林下,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1482764.jpg,,,,,,,,,, +长序羊角藤,Morinda lacunosa,马关县普查队,5326250632,20150523,云南省,1889,阔叶林,藤本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0035142.jpg,,,,,,,,,, +长序羊角藤,Morinda lacunosa,H.T.Tsai,60804,19340710,云南省 ,1300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0445873.jpg,,,,,,,,,, +须弥巴戟,Morinda villosa,王启无,77514,19360000,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0471028.jpg,,,,,,,,,, +须弥巴戟,Morinda villosa,王开域,60,19530601,云南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0471027.jpg,,,,,,,,,, +须弥巴戟,Morinda villosa,左大勋,等,24061,19581202,浙江省,1200,,常绿小灌木,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00250596.jpg,,,,,,,,,, +辣木,Moringa oleifera,东兴市普查队,450681181017017LY,20181017,广西,6,阔叶林,路旁,少栽培,乔木,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00418416.jpg,,,,,,,,,, +辣木,Moringa oleifera,张寿洲、杨蕾蕾、黄义钧等,201609022,20160921,安齐拉贝,,路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00099096.jpg,,,,,,,,,, +辣木,Moringa oleifera,曾宪锋,ZXF38400,20180719,广东,100,台地,小乔木,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0033678.jpg,,,,,,,,,, +小花荠苎,Mosla cavaleriei,赵万义、刘忠成、谭维政、丁巧玲、叶矾、刘忠,LXP-13-08441,20151112,江西省九江市,,山坡、壤土(黄壤)、疏林,陆生、草本、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00182424.jpg,,,,,,,,,, +小花荠苎,Mosla cavaleriei,张桥蓉,宋鼎,孙旭伟,ZhangYH080,20190831,贵州,1642,灌丛中,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1488490.jpg,,,,,,,,,, +小花荠苎,Mosla cavaleriei,周世良,9508,19951020,北京市,,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/00920796.jpg,,,,,,,,,, +小鱼仙草,Mosla dianthera,李宏庆等,SDP04658,20111127,上海市,,路边,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0063071.jpg,,,,,,,,,, +小鱼仙草,Mosla dianthera,H.T.Tsai,54678,19330926,云南省 ,1500,,herb,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00223799.jpg,,,,,,,,,, +小鱼荠苎,Mosla dianthera,李洪钧,7714,19580919,湖北省,,,,,https://image.cvh.ac.cn/files/l/IBK/IBK00260546.jpg,,,,,,,,,, +九里香,Murraya exotica,张志翔,,19640123,北京,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/00056320.jpg,,,,,,,,,, +九里香,Murraya exotica,Kwok Wa Shau,,1920/3/3,广东; KWANGTUNG,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00043810.jpg,,,,,,,,,, +九里香,Murraya exotica,黄志,32418,19330602,香港,,海边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00691306.jpg,,,,,,,,,, +调料九里香,Murraya koenigii,T.T.Yü,16414,19380622,云南省,1600,In thickets,,无花有果,https://image.cvh.ac.cn/files/l/PE/00691187.jpg,,,,,,,,,, +调料九里香,Murraya koenigii,Henry,9651,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00043897.jpg,,,,,,,,,, +调料九里香,Murraya koenigii,Lau,S.K,319,19320726,海南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00057000.jpg,,,,,,,,,, +银露梅,Mussaenda glabra,,781483,,江西,,,,有花有果,https://image.cvh.ac.cn/files/l/JXU/JXU0019119.jpg,,,,,,,,,, +,Mussaenda glabra,Tsang,16672,19271231,广东省,,,vine,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00250720.jpg,,,,,,,,,, +,Mussaenda incana,,,,,,,,,,,,,,,,,,, +大叶玉叶金花,Mussaenda macrophylla,T.T.Yu,20146,19370906,云南省 ,1500,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0471725.jpg,,,,,,,,,, +大叶玉叶金花,Mussaenda macrophylla,屏边县中药资源普查队,5325230093,20120420,云南省,1294,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0017059.jpg,,,,,,,,,, +大叶玉叶金花,Mussaenda macrophylla,李莉,20160826024,20160826,江西,,公路边,,无花无果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0008487.jpg,,,,,,,,,, +,Mussaenda roxburghii,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003153,20171212,,976,Roadside,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445888.jpg,,,,,,,,,, +,Mutarda nigra,,,,,,,,,,,,,,,,,,, +,Mycetia faberi,,,,,,,,,,,,,,,,,,, +毛腺萼木,Mycetia hirta,勐海普查队,5328220406,20120525,云南省,1514,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0017138.jpg,,,,,,,,,, +毛腺萼木,Mycetia hirta,Tsang & Fung,301,19290615,海南省 ,,,bush,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00250888.jpg,,,,,,,,,, +毛腺萼木,Mycetia hirta,刘恩德,徐洲锋,马文章,4055,20131013,云南省 ,955,in forest along river,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1228634.jpg,,,,,,,,,, +,Mycetia listeri,,,,,,,,,,,,,,,,,,, +,Mycetia longifolia,李剑武,1842,20120905,云南,800,箐沟边,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0027842.jpg,,,,,,,,,, +长叶腺萼木,Mycetia longifolia,不祥,1394,19391209,云南省 ,1100,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/46247.jpg,,,,,,,,,, +,Mycetia longifolia,高信芬、涂卫国、何海、乔永康,8056,20030927,西藏自治区,850,林下,灌木,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190401.jpg,,,,,,,,,, +,Mycetia mukerjiana,,,,,,,,,,,,,,,,,,, +垂花腺萼木,Mycetia nepalensis,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14447,20161115,西藏,1464,常绿阔叶林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1452582.jpg,,,,,,,,,, +垂花腺萼木,Mycetia nepalensis,"李渤生,程树志",2917,19830311,西藏自治区,1600,果不拉山坡常绿阔叶林中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468017.jpg,,,,,,,,,, +,Mycetia nutans,,,,,,,,,,,,,,,,,,, +,Mycetia radiciflora,,,,,,,,,,,,,,,,,,, +,Mycetia stipulata,生态室高原组,11337,19800727,西藏自治区,1900,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01804603.jpg,,,,,,,,,, +,Mycetia stipulata,,,0,,,,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0001854.jpg,,,,,,,,,, +,Mycetia stipulata subsp. macrostachya,,,,,,,,,,,,,,,,,,, +,Mycetia tonkinensis,,,,,,,,,,,,,,,,,,, +羽裂粘冠草,Myriactis delavayi,K.M.Feng,2114,19390821,云南省,,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00301342.jpg,,,,,,,,,, +羽裂粘冠草,Myriactis delavayi,,4509,19590807,四川,2800,老林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824535.jpg,,,,,,,,,, +,Myriactis delavayi,"Delavay, J.M.",3661,1887-9-2,,,,,,https://image.cvh.ac.cn/files/l/P/P00742939.jpg,,,,,,,,,, +圆舌粘冠草,Myriactis nepalensis,全州县普查队,450324141014032LY,20141014,广西壮族自治区,1700,阔叶林,沟边,林缘,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0150405.jpg,,,,,,,,,, +圆舌粘冠草,Myriactis nepalensis,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201099,20200721,西藏,2398,草丛中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507901.jpg,,,,,,,,,, +圆舌粘冠草,Myriactis nepalensis,卫兆芬,122085,19581115,广东省,0,丘陵路旁,,有果无花,https://image.cvh.ac.cn/files/l/KUN/490129.jpg,,,,,,,,,, +狐狸草,Myriactis wallichii,张代贵,dt081027012,20081027,贵州湘西州,,山坡草地,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU68305.jpg,,,,,,,,,, +狐狸草,Myriactis wallichii,陈晓澄等,6516,20140810,西藏自治区,3258,灌木林和针叶林,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00015149.jpg,,,,,,,,,, +狐狸草,Myriactis wallichii,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201213,20200724,西藏,2246,河边荒地上,一年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1505738.jpg,,,,,,,,,, +齿冠草,Myriactis wightii,,,,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00057872.jpg,,,,,,,,,, +粘冠草,Myriactis wightii,尹志坚,董洪进,向春雷,YDX0830,20090708,云南,2900,"forest margins,roadside",,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0208130.jpg,,,,,,,,,, +,Myriactis wightii,王乾、顾健,SCW0848,20190820,四川,2725,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0267416.jpg,,,,,,,,,, +宽苞水柏枝,Myricaria bracteata,林业部林业科学研究所标本室,6,1955,云南,,,,有花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00027140.jpg,,,,,,,,,, +宽苞水柏枝,Myricaria bracteata,"Kostina M.V.,Kuklina A.G.",,19850714,,,river valley,,有花有果,https://image.cvh.ac.cn/files/l/PE/02114698.jpg,,,,,,,,,, +宽苞水柏枝,Myricaria bracteata,段长虹,Dch0365,20140717,山西省,1448,沟畔路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02038630.jpg,,,,,,,,,, +,Myricaria germanica,K.Holm,s.n.,19580720,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01515279.jpg,,,,,,,,,, +,Myricaria germanica,刘媖心等,85,19710804,青海省,2700,沙地河流岸边沙丘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01176647.jpg,,,,,,,,,, +,Myricaria germanica,,2089,19740805,西藏自治区,3100,路旁河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01176658.jpg,,,,,,,,,, +三春水柏枝,Myricaria paniculata,李裕久 路端正,,19870801,宁夏,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00012005.jpg,,,,,,,,,, +三春水柏枝,Myricaria paniculata,北师大队,LPS2015052,20150723,宁夏回族自治区,,灌丛草地,,,https://image.cvh.ac.cn/files/l/BNU/0018645.jpg,,,,,,,,,, +三春水柏枝,Myricaria paniculata,路,崔,张,,20010800,青海,3000,,,,https://image.cvh.ac.cn/files/l/BJFC/00012004.jpg,,,,,,,,,, +,Myricaria prostrata,"Thomson, Thomas",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00318102.jpg,,,,,,,,,, +匍匐水柏枝,Myricaria prostrata,PE西藏队,PE5560,20170831,西藏自治区,4352,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330230.jpg,,,,,,,,,, +匍匐水柏枝,Myricaria prostrata,伍凯,XJ009,20120529,新疆,4159,沼生草甸,小灌木,,https://image.cvh.ac.cn/files/l/BNU/0011061.jpg,,,,,,,,,, +卧生水柏枝,Myricaria rosea,中甸队,1763,19620831,云南省,4100,河边大石头隙中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01599141.jpg,,,,,,,,,, +,Myricaria rosea,张永洪,王晓雄,周卓,岳亮亮,SunH-07ZX-1612,20080729,西藏,3813,高山草甸,灌木,,https://image.cvh.ac.cn/files/l/KUN/1249928.jpg,,,,,,,,,, +卧生水柏枝,Myricaria rosea,高作经,1741,19580804,内蒙古,,近水边生,,有花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0006981.jpg,,,,,,,,,, +具鳞水柏枝,Myricaria squamosa,"郭柯,郑度",12188,19880714,新疆维吾尔自治区,3050,河谷谷底,石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468377.jpg,,,,,,,,,, +具鳞水柏枝,Myricaria squamosa,杜庆,76-0046,19760605,宁夏回族自治区,0~2100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/63810.jpg,,,,,,,,,, +具鳞水柏枝,Myricaria squamosa,,7798,1977.7.1,新疆维吾尔自治区 ,1320,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00020309.jpg,,,,,,,,,, +小花水柏枝,Myricaria wardii,李全喜,626,19630728,甘肃省,1300~1500,河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01330110.jpg,,,,,,,,,, +小花水柏枝,Myricaria wardii,付筱,雷嘉卿,周雨阳,FX-00-00-05-025,20200928,四川,3528,路边,阴生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02072961.jpg,,,,,,,,,, +小花水柏枝,Myricaria wardii,裴盛基,1705,19880606,云南省,2620,沟边河岸,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1265850.jpg,,,,,,,,,, +翅果藤,Myriopteron extensum,尹文清,1783,1956/10/23,江苏省,650,,藤本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0277633.jpg,,,,,,,,,, +翅果藤,Myriopteron extensum,方震东、海仙、史效武、谢爱芳,HP-649,20101216,云南省,3382,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 001150.jpg,,,,,,,,,, +翅果藤,Myriopteron extensum,裴盛基,599439,19590000,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/035566.jpg,,,,,,,,,, +铁仔,Myrsine africana,T.T.Yu,5813,19370527,四川省,2700,margin of forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/00072446.jpg,,,,,,,,,, +铁仔,Myrsine africana,湘西调查队,422,19530801,湖南省,,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/00112540.jpg,,,,,,,,,, +铁仔,Myrsine africana,红水河植物考察队,928,19890505,广西壮族自治区,900,松栎林缘,公路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/02008526.jpg,,,,,,,,,, +,Myrsine capitellata,,,,,,,,,,,,,,,,,,, +广西密花树,Myrsine kwangsiensis,吕惠珍,潘春柳,岑海锋,451025130314020LY,20130314,广西壮族自治区,853,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0106417.jpg,,,,,,,,,, +广西密花树,Myrsine kwangsiensis,杨平、李健玲、苏钰岚等,BL067,20190927,广西,~800,石灰岩石山;普遍,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00428868.jpg,,,,,,,,,, +广西密花树,Myrsine kwangsiensis,邓朝义,522328140316233 LY,20140316,贵州省,1061,灌丛、钙质土、中生、阳性、中温、野生植物,乔木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0060600.jpg,,,,,,,,,, +密花树,Myrsine seguinii,吴大诚,96073,19961105,江西,900m,山沟河边,灌木,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00010779.jpg,,,,,,,,,, +密花树,Myrsine seguinii,鞠文彬,HGX14885,20140802,四川省,570,路边石壁,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0234852.jpg,,,,,,,,,, +密花树,Myrsine seguinii,李攀,李君坷,王媚臻,ZJULP007B09,20190417,云南,2588,,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1550215.jpg,,,,,,,,,, +针齿铁仔,Myrsine semiserrata,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201326,20200728,西藏,2327,林中,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1507697.jpg,,,,,,,,,, +针齿铁仔,Myrsine semiserrata,赵良成;王奥;高永巍,BJFUZLC183B34,20200907,四川,1280,,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1558274.jpg,,,,,,,,,, +针齿铁仔,Myrsine semiserrata,,630085,19630325,广岛,2200~1800,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/423129.jpg,,,,,,,,,, +,Myrtama elegans,,,,,,,,,,,,,,,,,,, +,Myxopyrum smilacifolium,,,,,,,,,,,,,,,,,,, +,Nabalus tatarinowii,宋松泉,BJ011,20081008,北京,,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1453810.jpg,,,,,,,,,, +,Nabalus tatarinowii,方志强,255,20061012,四川,2100,路边灌丛林 ,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0247416.jpg,,,,,,,,,, +,Nabalus tatarinowii,PE西藏队,PE5698,20170903,西藏自治区,1683~2900,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02333626.jpg,,,,,,,,,, +毛冠菊,Nannoglottis carpesioides,中甸队,3399,19630713,云南省,3800,冷杉林下荫湿草坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/490381.jpg,,,,,,,,,, +毛冠菊,Nannoglottis carpesioides,黄土队,6121,1985/8/9,甘肃,2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0457677.jpg,,,,,,,,,, +毛冠菊,Nannoglottis carpesioides,黄土队,5773,1985/8/2,青海,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0460090.jpg,,,,,,,,,, +,Nannoglottis delavayi,"Delavay, J.M.",616,1882-9-4,,,,,,https://image.cvh.ac.cn/files/l/P/P00279721.jpg,,,,,,,,,, +,Nannoglottis delavayi,"姜恕,应俊生等",4846,19601017,四川省,3100,灌丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00856015.jpg,,,,,,,,,, +厚叶毛冠菊,Nannoglottis delavayi,,21439,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0055686.jpg,,,,,,,,,, +狭舌毛冠菊,Nannoglottis gynura,J.F.Rock,12854,19250700,甘肃省,2591,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00495923.jpg,,,,,,,,,, +,Nannoglottis gynura,"Soulié, J.A.",595,1893,,,,,,https://image.cvh.ac.cn/files/l/P/P00279720.jpg,,,,,,,,,, +狭舌毛冠菊,Nannoglottis gynura,姚淦,1684,19890713,西藏自治区,3600,次生高山栎林草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00003215.jpg,,,,,,,,,, +,Nannoglottis hookeri,PE西藏队,PE5577,20170901,西藏自治区,4235,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890591.jpg,,,,,,,,,, +,Nannoglottis hookeri,,177,19600606,西藏,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01830189.jpg,,,,,,,,,, +宽苞毛冠菊,Nannoglottis latisquama,张敖罗,100612,19620613,云南省,3450,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/490371.jpg,,,,,,,,,, +,Nannoglottis latisquama,"Delavay, J.M.",687,1884-8-26,,,,,,https://image.cvh.ac.cn/files/l/P/P00132662.jpg,,,,,,,,,, +宽苞毛冠菊,Nannoglottis latisquama,四川植被调查队,2471,1973-8 9,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0146414.jpg,,,,,,,,,, +大果毛冠菊,Nannoglottis macrocarpa,钟补求,5239,19520822,西藏自治区,,河岸坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030072.jpg,,,,,,,,,, +,Nannoglottis ravida,,,,,,,,,,,,,,,,,,, +,Nannoglottis souliei,"张秀实,任有铣",6184,19580724,四川省,3600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00856078.jpg,,,,,,,,,, +,Nannoglottis yunnanensis,K.M.Feng,1875,19390729,云南省,3600,On open pasture,,有花有果,https://image.cvh.ac.cn/files/l/PE/00856082.jpg,,,,,,,,,, +,Nannoglottis yunnanensis,陈又生,7364,20070809,四川省,3300,干草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01648813.jpg,,,,,,,,,, +,Nardostachys grandiflora,M.Wakabayashi etc.,9720151,19970808,,3850,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261082.jpg,,,,,,,,,, +匙叶甘松,Nardostachys grandiflora,H.Ohashi etc.,772229,19770810,Topke Gola,3200~3600,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0296966.jpg,,,,,,,,,, +大花甘松,Nardostachys grandiflora,管中天,440511,19600803,四川省,4120,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0497558.jpg,,,,,,,,,, +豆瓣菜,Nasturtium officinale,"邢公侠,陈耀东",4,19820707,北京市,,山沟 水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998269.jpg,,,,,,,,,, +豆瓣菜,Nasturtium officinale,朱鑫鑫;王君;王美华,ZXX21267,20210406,安徽,1008,水沟里,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1557278.jpg,,,,,,,,,, +豆瓣菜,Nasturtium officinale,王作宾,18873,1964/4/6,甘肃省,700,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0420834.jpg,,,,,,,,,, +,Natsiatopsis thunbergiifolia,,,,,,,,,,,,,,,,,,, +,Natsiatum herpeticum,,,,,,,,,,,,,,,,,,, +紫花新耳草,Neanotis calycina,T.Sugawara et,3006,19940829,云南省,2300~2200,on moistened rock,,有花无果,https://image.cvh.ac.cn/files/l/KUN/777920.jpg,,,,,,,,,, +紫花新耳草,Neanotis calycina,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/074600.jpg,,,,,,,,,, +紫花新耳草,Neanotis calycina,H.T.Tsai,61887,19340911,云南省 ,1100,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0472542.jpg,,,,,,,,,, +,Neanotis gracilis,,,,,,,,,,,,,,,,,,, +薄叶新耳草,Neanotis hirsuta,郑、黄,48,19851103,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/FJFC/FJFC0002229.jpg,,,,,,,,,, +薄叶新耳草,Neanotis hirsuta,陈功锡,张代贵等,LXP-06-7397,20150925,江西省,498,路旁,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU10141.jpg,,,,,,,,,, +薄叶新耳草,Neanotis hirsuta,"朱鑫鑫,徐坤,王雨鑫,李静玉,党慧杰",ZXX18755,20181029,河南,318,亚热带落叶阔叶林,山坡林中沟谷旁,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1480337.jpg,,,,,,,,,, +臭味新耳草,Neanotis ingrata,刘力嘉,雷嘉卿,阿欧学依木,LLA-36-53,20220512,四川,702m,林下,中生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02074594.jpg,,,,,,,,,, +臭味新耳草,Neanotis ingrata,,2102,,江苏省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0472706.jpg,,,,,,,,,, +臭味新耳草,Neanotis ingrata,钟国跃,360829130712061LY,20130712,江西,1589.2,阔叶林,多年生草本植物,无花有果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0001445.jpg,,,,,,,,,, +新耳草,Neanotis thwaitesiana,侯宽昭,74034,19360422,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00098589.jpg,,,,,,,,,, +新耳草,Neanotis thwaitesiana,苏享修,CFH09010998,20150905,福建省,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0109473.jpg,,,,,,,,,, +新耳草,Neanotis thwaitesiana,安明态,SQ-0619,20110812,贵州省,1440,山地,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0031557.jpg,,,,,,,,,, +西南新耳草,Neanotis wightiana,覃营、李喜涛,JWSQY167,20200527,广西,~1231,山地,山坡,路旁,黑灰壤;普遍,匍匐草本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00434979.jpg,,,,,,,,,, +西南新耳草,Neanotis wightiana,周辉、周大松,15070313,20150703,湖南省,450,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI035558.jpg,,,,,,,,,, +西南新耳草,Neanotis wightiana,H.T.Tsai,62785,19340719,云南省 ,1500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0472793.jpg,,,,,,,,,, +瘤子草,Nelsonia canescens,周仕顺,7377,20100514,云南省,,沟谷林中,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0025432.jpg,,,,,,,,,, +瘤子草,Nelsonia canescens,叶远平,133,19920701,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/ZY/ZY0003867.jpg,,,,,,,,,, +瘤子草,Nelsonia canescens,李永亮,YDDXS0068,20100224,云南,547,热带雨林,干热河谷杂灌木林,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1385996.jpg,,,,,,,,,, +刻裂羽叶菊,Nemosenecio incisifolius,安顺队,947,19590822,贵州省,2100,山谷草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01717788.jpg,,,,,,,,,, +刻裂羽叶菊,Nemosenecio incisifolius,H.T. Tsai,52340,19320622,云南省 ,1800,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00092657.jpg,,,,,,,,,, +刻裂羽叶菊,Nemosenecio incisifolius,贺士元,,19980912,云南省,,,,,https://image.cvh.ac.cn/files/l/BNU/0013707.jpg,,,,,,,,,, +,Neobotrydium ornithopodum,,,,,,,,,,,,,,,,,,, +,Neobrachyactis anomala,,,,,,,,,,,,,,,,,,, +,Neobrachyactis pubescens,,,,,,,,,,,,,,,,,,, +,Neobrachyactis roylei,FLPH Tibet Expedition,12-0171,20120904,西藏自治区,3785,河谷灌丛草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01967377.jpg,,,,,,,,,, +西藏短星菊,Neobrachyactis roylei,"亚吉东, 张桥蓉, 秦少发, 杨忠兰",16CS13263,20160820,新疆,1793,多石山坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1449314.jpg,,,,,,,,,, +西藏短星菊,Neobrachyactis roylei,"张挺, 刘成, 亚吉东",18CS17730,20180917,西藏,3620,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487357.jpg,,,,,,,,,, +,Neohymenopogon assamicus,,,,,,,,,,,,,,,,,,, +石丁香,Neohymenopogon parasiticus,CMTTE,CMTTE468,20120803,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0103711.jpg,,,,,,,,,, +,Neohymenopogon parasiticus,H.Wang,41633,19400820,云南省,1930,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0472836.jpg,,,,,,,,,, +,Neohymenopogon parasiticus,"Beauvais, J.",1164,1902/6/25,,,,,,https://image.cvh.ac.cn/files/l/P/P00214424.jpg,,,,,,,,,, +团花,Neolamarckia cadamba,韦松基、戴忠华,450603141107947LY,20141107,广西壮族自治区,70,阔叶林,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0147173.jpg,,,,,,,,,, +,Neolamarckia cadamba,"Sylvain Razafimandimbison, Ulf Swenson, Do Van Tru",Razafimandimbison et al. 2403,20180927,,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0247831.jpg,,,,,,,,,, +团花,Neolamarckia cadamba,谢帅康,142,20170705,福建省,,山涧,常绿灌木 ,有花无果,https://image.cvh.ac.cn/files/l/AU/AU061134.jpg,,,,,,,,,, +,Neonauclea gageana,,,,,,,,,,,,,,,,,,, +新乌檀,Neonauclea griffithii,王启无,79032,19360900,云南省 ,1200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0472845.jpg,,,,,,,,,, +新乌檀,Neonauclea griffithii,黄志辉,h50742,20051228,广西,500,石灰岩下坡,乔木,无花有果,https://image.cvh.ac.cn/files/l/GAC/GAC0008976.jpg,,,,,,,,,, +,Neonauclea griffithii,"Esquirol, J.",3631,1913/6/5,,,,,,https://image.cvh.ac.cn/files/l/P/P01900264.jpg,,,,,,,,,, +无柄新乌檀,Neonauclea sessilifolia,W.Nanakorn,960,19940618,,350,,乔木,,https://image.cvh.ac.cn/files/l/HITBC/0002184.jpg,,,,,,,,,, +无柄新乌檀,Neonauclea sessilifolia,C.W.Wang,79875,1936.10.,云南,800,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005838.jpg,,,,,,,,,, +无柄新乌檀,Neonauclea sessilifolia,陶国达,38920,19861010,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/036863.jpg,,,,,,,,,, +栉叶蒿,Neopallasia pectinata,W.Y.Hsia,H.2980,1931/8/5,绥远,1500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0015685.jpg,,,,,,,,,, +栉叶蒿,Neopallasia pectinata,许玉凤,YK-P001-176,20150731,辽宁省,68~74,棕壤丘陵,旁边有垃圾场,细叶胡枝子、万年蒿多。,,有花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF000997.jpg,,,,,,,,,, +栉叶蒿,Neopallasia pectinata,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201533,20200807,西藏,4185,荒地上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508377.jpg,,,,,,,,,, +胡黄连,Neopicrorhiza scrophulariiflora,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19289,20200629,西藏,3772,高山流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489330.jpg,,,,,,,,,, +胡黄连,Neopicrorhiza scrophulariiflora,黄建,94YZ,19940621,西藏自治区,4700,高山灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0000522.jpg,,,,,,,,,, +胡黄连,Neopicrorhiza scrophulariiflora,C.W.Wang,68916,1935/08/,,3700,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0045304.jpg,,,,,,,,,, +密花荆芥,Nepeta densiflora,青藏队 吴玉虎,512,19870708,新疆维吾尔自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/146502.jpg,,,,,,,,,, +密花荆芥,Nepeta densiflora,西植新疆队,2427,1978/8/16,新疆维吾尔族自治区,2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0337927.jpg,,,,,,,,,, +密花荆芥,Nepeta densiflora,青藏队,8167,19760703,西藏自治区,3100,山坡村边林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/218176.jpg,,,,,,,,,, +异色荆芥,Nepeta discolor,青藏队,2827,19741005,西藏自治区,2900,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/218159.jpg,,,,,,,,,, +异色荆芥,Nepeta discolor,陈家辉,韩希,王东超,王广艳,杨大松,李资磊,张春林,陶云芬,YangYP-Q-4084,20110831,西藏,3332,林间草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1389084.jpg,,,,,,,,,, +异色荆芥,Nepeta discolor,S.Noshiro etc.,20104219,20010816,,4300,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264474.jpg,,,,,,,,,, +丛卷毛荆芥,Nepeta floccosa,青藏队,7514,19750907,西藏自治区,5300,高山流石坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/218186.jpg,,,,,,,,,, +,Nepeta floccosa,"高天刚,聂宝",GTG8297,20151003,,3712,干旱山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02286933.jpg,,,,,,,,,, +穗花荆芥,Nepeta laevigata,尹志坚等,2252,20090916,云南,3000,alpine meadow,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1512293.jpg,,,,,,,,,, +穗花荆芥,Nepeta laevigata,何铸,10930,19510818,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00029229.jpg,,,,,,,,,, +穗花荆芥,Nepeta laevigata,张超,F0012,20040718,西藏自治区,3680,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/007567.jpg,,,,,,,,,, +假宝盖草,Nepeta lamiopsis,李帅等,20167397,20160724,西藏自治区,4374,草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0030751.jpg,,,,,,,,,, +俘宝盖草,Nepeta lamiopsis,,8571964,19850823,Shemma,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/218313.jpg,,,,,,,,,, +俘宝盖草,Nepeta lamiopsis,M.Wakabayashi etc.,9715111,19970808,,3730,slope meadow,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261315.jpg,,,,,,,,,, +白绵毛荆芥,Nepeta leucolaena,崔友文,,19490829,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/78741.jpg,,,,,,,,,, +,Nepeta leucolaena,高信芬、涂卫国、何海、乔永康,7250,20030912,西藏自治区,3030,河边灌丛下,半灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0191003.jpg,,,,,,,,,, +白绵毛荆芥,Nepeta leucolaena,崔友文,683,19490826,内蒙古自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/218314.jpg,,,,,,,,,, +长苞荆芥,Nepeta longibracteata,新疆采集队,1406,1978/7/13,新疆维吾尔族自治区,4500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0335543.jpg,,,,,,,,,, +长苞荆芥,Nepeta longibracteata,生物研究所西藏考察队,3572,74.07.23,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00032783.jpg,,,,,,,,,, +长苞荆芥,Nepeta longibracteata,谢传认,264,19800905,四川省,3575,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00246253.jpg,,,,,,,,,, +康藏荆芥,Nepeta prattii,刘继孟,11370,1950/06/,陕西,2200,,小草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0049491.jpg,,,,,,,,,, +,Nepeta prattii,崔顺昌,张丙军,袁宏斌,150,19850901,山西省,2300,阴坡,草本,有花无果,https://image.cvh.ac.cn/files/l/HSIB/HSIB013381.jpg,,,,,,,,,, +康藏荆芥,Nepeta prattii,郭淑青、杜品,LiuJQ-GN-022,20120821,甘肃省,0~3793,亚高山草甸坡地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0284832.jpg,,,,,,,,,, +块根荆芥,Nepeta raphanorhiza,西藏草药普查队,1978,19721009,西藏自治区,4100,山坡水沟傍灌木下成丛生长,,有花无果,https://image.cvh.ac.cn/files/l/PE/00923256.jpg,,,,,,,,,, +平卧荆芥,Nepeta supina,生物研究所西藏考察队,3852,19740807,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/41023.jpg,,,,,,,,,, +平卧荆芥,Nepeta supina,,5840,58.06.24,新疆维吾尔自治区 ,2400,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00032869.jpg,,,,,,,,,, +平卧荆芥,Nepeta supina,,5840,580624,,2400,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20001919.jpg,,,,,,,,,, +山荔枝,Nephelium mutabile,,21730,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0417087.jpg,,,,,,,,,, +山荔枝,Nephelium mutabile,胡启明,2844,19580621,江西省,,山阳坡灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00276609.jpg,,,,,,,,,, +山荔枝,Nephelium mutabile,中草药调查队,14,19760530,广西壮族自治区,,"海边, 少见",乔木,,https://image.cvh.ac.cn/files/l/IBK/IBK00331515.jpg,,,,,,,,,, +夹竹桃,Nerium oleander,侯小琪,520425170603205 LY,20170603,贵州省,1011.2,阳性、酸性土、灌丛、中生、中温野生植物,灌木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0064947.jpg,,,,,,,,,, +夹竹桃,Nerium oleander,龙新城,2,19860718,云南,,,,有花无果,https://image.cvh.ac.cn/files/l/NFP/NFP0000825.jpg,,,,,,,,,, +夹竹桃,Nerium oleander,蒋英,372,19170424,广东,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/AU/AU086194.jpg,,,,,,,,,, +薄柱草,Nertera sinensis,熊济华 周子林,91777,19570701,四川省,690,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0012042.jpg,,,,,,,,,, +,Nertera sinensis,E. Faber,149.166,,,609.6~914.4,,,,https://image.cvh.ac.cn/files/l/NY/00132337.jpg,,,,,,,,,, +薄柱草,Nertera sinensis,赖书绅 杨如菊 黄大付,4459,19650714,江西省,1200,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00058188.jpg,,,,,,,,,, +假酸浆,Nicandra physalodes,令狐少萍,6,20111106,山东省,780,,,有花有果,https://image.cvh.ac.cn/files/l/SSMM/0001017.jpg,,,,,,,,,, +假酸浆,Nicandra physalodes,韦春强、李象钦,RQXN08030,20160119,广西省,190.4,路边,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0125851.jpg,,,,,,,,,, +,Nicandra physalodes,王万里,425,19570628,江苏省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00134892.jpg,,,,,,,,,, +皱叶烟草,Nicotiana plumbaginifolia,P.M.Debbarman,,19220315,,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00228721.jpg,,,,,,,,,, +,Nicotiana plumbaginifolia,Ming-Jer Jung,4023,20090519,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913970.jpg,,,,,,,,,, +皱叶烟草,Nicotiana plumbaginifolia,四川经济植物考察队,第3244,1959-5 2,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0126072.jpg,,,,,,,,,, +黄花烟草,Nicotiana rustica,H.T.Tsai,51995,1932/9/11,云南省,,,shrub,有花有果,https://image.cvh.ac.cn/files/l/WUK/0041750.jpg,,,,,,,,,, +,Nicotiana rustica,J.Kozlov,898,191410,山西省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00029300.jpg,,,,,,,,,, +黄花烟草,Nicotiana rustica,傅坤俊,18993,1982/10/19,河南省,310,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0431108.jpg,,,,,,,,,, +烟草,Nicotiana tabacum,"牛玉璐, 高彦飞",NiuYL630,20171008,河北,600,温带低山山前荒地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1446523.jpg,,,,,,,,,, +烟草,Nicotiana tabacum,,981,19580900,贵州,,,,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0074964.jpg,,,,,,,,,, +烟草,Nicotiana tabacum,傅坤俊,19178,1982/10/21,山西省,590,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0431698.jpg,,,,,,,,,, +,Noccaea andersonii,PE西藏考察队,7085,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332656.jpg,,,,,,,,,, +,Noccaea andersonii,杨竞生,91-122,19910524,四川省,4400,折多山 多石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995840.jpg,,,,,,,,,, +,Noccaea andersonii,青藏科考队,11778,19760609,云南省,4230,山顶灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01122590.jpg,,,,,,,,,, +,Noccaea cochlearioides,,,,,,,,,,,,,,,,,,, +,Noccaea thlaspidioides,,14,19620716,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01351084.jpg,,,,,,,,,, +,Noccaea thlaspidioides,S.Kharkevich et al.,s.n.,19790705,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01123066.jpg,,,,,,,,,, +,Noccaea thlaspidioides,,s.n.,19770000,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01123065.jpg,,,,,,,,,, +,Noccaea yunnanensis,M.Iabbe Delavay,2077,18860601,云南省,3200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01186603.jpg,,,,,,,,,, +,Noccaea yunnanensis,Richard R.Halse,7152,20070501,,230,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01846071.jpg,,,,,,,,,, +,Noccaea yunnanensis,T.Naito et al. ,1182,19860515,西藏自治区,3100,On wet ground,,有花有果,https://image.cvh.ac.cn/files/l/PE/01123197.jpg,,,,,,,,,, +,Nostolachma jenkinsii,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11980,20161119,西藏,808,林下小路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445193.jpg,,,,,,,,,, +,Nostolachma khasiana,,,,,,,,,,,,,,,,,,, +,Nothosmyrnium xizangense var. xizangense,,,,,,,,,,,,,,,,,,, +,Notopterygium forrestii,刘正宇,15106,19950919,重庆市,1400,黄草坪,杂木林下,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00620616.jpg,,,,,,,,,, +澜沧羌活,Notopterygium forrestii,武素功,3581,19591029,四川省,2000,江边,阳坡,松栗林下,,,https://image.cvh.ac.cn/files/l/KUN/1292749.jpg,,,,,,,,,, +澜沧羌活,Notopterygium forrestii,鞠文彬,郑臣臣,THP-KD-5974,20170812,四川,3681,林中溪边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0244047.jpg,,,,,,,,,, +宽叶羌活,Notopterygium franchetii,A. Henry,6629,1889.3,湖北,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0002377.jpg,,,,,,,,,, +宽叶羌活,Notopterygium franchetii,何铸,等,5781,19580807,四川省,2520,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00022684.jpg,,,,,,,,,, +宽叶羌活,Notopterygium franchetii,"陈世龙, 高庆波, 张发起等",ChenSL0966,20100810,青海,,云杉林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336682.jpg,,,,,,,,,, +羌活,Notopterygium incisum,"罗建, 汪书丽, 王国严",LiuJQ-09XZ-351,20091010,西藏,,林内灌丛,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336692.jpg,,,,,,,,,, +羌活,Notopterygium incisum,陈世龙、高庆波、张发起等,Chensl-1716,20110823,青海,2690,林下、桦树林下,直立草本,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00024667.jpg,,,,,,,,,, +羌活,Notopterygium incisum,武晓宇,张晓蕾,QH2014007,20140714,青海省,,山坡,草本,,https://image.cvh.ac.cn/files/l/BNU/0020094.jpg,,,,,,,,,, +,Notoseris khasiana,王泽欢,董洪进,胡国雄,HC475,20110923,云南省,2000,"roadside, along forest",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227573.jpg,,,,,,,,,, +菱叶紫菊,Notoseris rhombiformis,"余新林, 赵玮",BSGLGStc433,20171019,云南,2353,中山湿性常绿阔叶林,藤本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1453471.jpg,,,,,,,,,, +菱叶紫菊,Notoseris rhombiformis,张英伯,697,19401102,云南省,3700,under cense woods,,有花无果,https://image.cvh.ac.cn/files/l/KUN/824790.jpg,,,,,,,,,, +菱叶紫菊,Notoseris rhombiformis,方伟,上官法智,魏志丹,3892,20120917,云南省 ,2544,山谷林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1249500.jpg,,,,,,,,,, +藤本紫菊,Notoseris scandens,郭永杰,张桥蓉,秦少发,张凤琼,16CS14560,20161122,西藏,1838,公路边岩石上,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1439429.jpg,,,,,,,,,, +,Notoseris scandens,董洪进,王泽欢等,867,20121223,云南省,1386,on the slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227671.jpg,,,,,,,,,, +,Notoseris yakoensis,H.T.Tsai,58651,19341009,云南省,2800,in forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235739.jpg,,,,,,,,,, +,Notoseris yakoensis,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11915,20161115,西藏,1848,中山湿性常绿阔叶林,草质藤本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1449949.jpg,,,,,,,,,, +栌菊木,Nouelia insignis,任永秋,20184162,20180418,贵州省,380,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0025522.jpg,,,,,,,,,, +栌菊木,Nouelia insignis,米易工作组,382,1963-5 1,四川省,1480,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0148099.jpg,,,,,,,,,, +栌菊木,Nouelia insignis,黄蜀琼,312,19581127,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/LBG/00036584.jpg,,,,,,,,,, +夜花,Nyctanthes arbor-tristis,"A.Rodger, Esp, I.F.S",582,19160616,,3000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00075251.jpg,,,,,,,,,, +,Nyctanthes arbor-tristis,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180404,20181128,Mon State,,,Tree,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498704.jpg,,,,,,,,,, +夜花,Nyctanthes arbor-tristis,郭惠珠,谷悦,2020,20091105,福建,201.3~43,盆栽,灌木,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0008222.jpg,,,,,,,,,, +莕菜,Nymphoides peltata,董安淼,1287,20070510,江西省,150,山脚水塘,多年生水生草本,有花无果,https://image.cvh.ac.cn/files/l/CCAU/ccau0001820.jpg,,,,,,,,,, +荇菜,Nymphoides peltata,张重岭,119,20160710,内蒙古自治区,1007,水泡,,有花无果,https://image.cvh.ac.cn/files/l/YAK/0003239.jpg,,,,,,,,,, +荇菜,Nymphoides peltata,,1865,,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0533533.jpg,,,,,,,,,, +华南蓝果树,Nyssa javanica,左景烈,陈念劬,44231,19321030,海南省 ,5000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0434344.jpg,,,,,,,,,, +华南蓝果树,Nyssa javanica,张冰明,陈汝爱,7725,19530704,海南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0434346.jpg,,,,,,,,,, +华南蓝果树,Nyssa javanica,聂敏祥,户向恒等,9812,19650802,江西省,580,山坡,疏林中,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0540682.jpg,,,,,,,,,, +蓝果树,Nyssa sinensis,贺贤育,882,1952/10/11,浙江,,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0183998.jpg,,,,,,,,,, +珙桐科,Nyssa sinensis,毕国昌,756,19600712,安徽,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00027778.jpg,,,,,,,,,, +蓝果树,Nyssa sinensis,陈少卿,15052,1958/7/23,广西,1300,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0212370.jpg,,,,,,,,,, +毛罗勒,Ocimum basilicum,标本室,2006,19560700,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00033967.jpg,,,,,,,,,, +罗勒,Ocimum basilicum,Kit Yock CHAN,1390,19731219,香港,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00834022.jpg,,,,,,,,,, +罗勒,Ocimum basilicum,董安淼,吴从梅,TanCM1652,20130902,江西,500,山坡草丛栽培或逸生(林场旁),直立草本,,https://image.cvh.ac.cn/files/l/KUN/1389233.jpg,,,,,,,,,, +,Odontostemma amdoense,,,,,,,,,,,,,,,,,,, +,Odontostemma auricomum,,,,,,,,,,,,,,,,,,, +,Odontostemma barbatum,,,,,,,,,,,,,,,,,,, +,Odontostemma barbatum var. hirsutissimum,,,,,,,,,,,,,,,,,,, +,Odontostemma bomiense,,,,,,,,,,,,,,,,,,, +,Odontostemma chamdoense,,,,,,,,,,,,,,,,,,, +,Odontostemma delavayi,,,,,,,,,,,,,,,,,,, +,Odontostemma euodontum,,,,,,,,,,,,,,,,,,, +,Odontostemma fimbriatum,,,,,,,,,,,,,,,,,,, +,Odontostemma fridericae,,,,,,,,,,,,,,,,,,, +,Odontostemma glandulosum,,,,,,,,,,,,,,,,,,, +,Odontostemma littledalei,,,,,,,,,,,,,,,,,,, +,Odontostemma longistylum,,,,,,,,,,,,,,,,,,, +,Odontostemma melanandrum,,,,,,,,,,,,,,,,,,, +,Odontostemma melandryiforme,,,,,,,,,,,,,,,,,,, +,Odontostemma melandryoides,,,,,,,,,,,,,,,,,,, +,Odontostemma monanthum,,,,,,,,,,,,,,,,,,, +,Odontostemma moniliferum,,,,,,,,,,,,,,,,,,, +,Odontostemma napuligerum var. monocephalum,,,,,,,,,,,,,,,,,,, +,Odontostemma nivalomontanum,,,,,,,,,,,,,,,,,,, +,Odontostemma pharense,,,,,,,,,,,,,,,,,,, +,Odontostemma pogonanthum,,,,,,,,,,,,,,,,,,, +,Odontostemma reductum,,,,,,,,,,,,,,,,,,, +,Odontostemma roseiflorum,,,,,,,,,,,,,,,,,,, +,Odontostemma saginoides,,,,,,,,,,,,,,,,,,, +,Odontostemma setiferum,,,,,,,,,,,,,,,,,,, +,Odontostemma spathulifolium,,,,,,,,,,,,,,,,,,, +,Odontostemma szechuense,,,,,,,,,,,,,,,,,,, +,Odontostemma trichophora,,,,,,,,,,,,,,,,,,, +,Odontostemma trichophorum,,,,,,,,,,,,,,,,,,, +,Odontostemma tumengelaense,,,,,,,,,,,,,,,,,,, +,Odontostemma yunnanense,,,,,,,,,,,,,,,,,,, +水芹,Oenanthe javanica subsp. javanica,田林普查队,4.51E+14,20130319,广西壮族自治区,512,草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0125814.jpg,,,,,,,,,, +水芹,Oenanthe javanica subsp. javanica,钟山县普查队,451122170721001LY,20170721,广西,219,草丛、路旁、黄棕壤,草本,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0212068.jpg,,,,,,,,,, +,Oenanthe javanica subsp. rosthornii,叶华谷、曾飞燕,LXP10-1239,20130807,江西省,0~350,山谷、溪边、灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0771389.jpg,,,,,,,,,, +卵叶水芹,Oenanthe javanica subsp. rosthornii,兴安县普查队,450325140924020LY,20140924,广西壮族自治区,810,针阔叶混交林,一年生草本,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0122989.jpg,,,,,,,,,, +,Oenanthe javanica subsp. rosthornii,何景,3009,,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/FJSI/FJSI026437.jpg,,,,,,,,,, +,Oenanthe linearis subsp. linearis,,,,,,,,,,,,,,,,,,, +蒙自水芹,Oenanthe linearis subsp. rivularis,侯小琪,520425170605244 LY,20170605,贵州省,1216.7,阳性、酸性土、阔叶林、中生、中温野生植物,多年生草本植物,有花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0064877.jpg,,,,,,,,,, +,Oenanthe linearis subsp. rivularis,"Henry, Augustine",10822,,,,,,,https://image.cvh.ac.cn/files/l/E/E00002342.jpg,,,,,,,,,, +蒙自水芹,Oenanthe linearis subsp. rivularis,农东新,农振欢,姚积军,451481160417016LY,20160417,广西壮族自治区,456,草丛,路旁,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0176715.jpg,,,,,,,,,, +窄叶水芹,Oenanthe thomsonii subsp. stenophylla,吉首大学生物资源与环境科学学院,GWJ20180712_0086,20180712,湖南,402,草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU54988.jpg,,,,,,,,,, +窄叶水芹,Oenanthe thomsonii subsp. stenophylla,,B4244,1997-7 1,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093852.jpg,,,,,,,,,, +窄叶水芹,Oenanthe thomsonii subsp. stenophylla,赵万义,许可旺,叶矾,丁巧玲,LXP-13-18232,20160524,江西省吉安市,1001,山谷、壤土、草地,陆生、草本、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00183340.jpg,,,,,,,,,, +,Oenanthe thomsonii subsp. thomsonii,"Henry, Augustine",7152,1888,,,,,,https://image.cvh.ac.cn/files/l/E/E00000560.jpg,,,,,,,,,, +多裂叶水芹,Oenanthe thomsonii subsp. thomsonii,黄汉东,万丹,123,20160718,湖北,2000,,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0173815.jpg,,,,,,,,,, +尖叶铁青树,Olax acuminata,罗俊成,8230619,20080531,贵州省,1075,小路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0006753.jpg,,,,,,,,,, +尖叶铁青树,Olax acuminata,A.Rodger,817,19960319,,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00300372.jpg,,,,,,,,,, +尖叶铁青树,Olax acuminata,王磊 徐申健,XW1605118,,云南,,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00095398.jpg,,,,,,,,,, +,Olax nana,J.F.Duthie,,,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/037997.jpg,,,,,,,,,, +(纟/散)房花耳草,Oldenlandia corymbosa,华东工作站同人,7111,19531009,安徽省,,,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00249633.jpg,,,,,,,,,, +,Oldenlandia corymbosa,Yang,5488,19360708,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0040629.jpg,,,,,,,,,, +伞房花耳草,Oldenlandia corymbosa,赛明兰,82-010,19820715,贵州省,700,,,无花有果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0006831.jpg,,,,,,,,,, +,Oldenlandia glabra,,,,,,,,,,,,,,,,,,, +,Oldenlandia monocephala,,,,,,,,,,,,,,,,,,, +异株木犀榄,Olea dioica,,255,19651213,逻料省,0,海边密林偶见,,有花无果,https://image.cvh.ac.cn/files/l/KUN/63225.jpg,,,,,,,,,, +异株木犀榄,Olea dioica,左景烈、陈念劬,44167,19321026,海南省 ,0~4000,,小乔木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0651042.jpg,,,,,,,,,, +异株木犀榄,Olea dioica,秦祥堃,16482,19940806,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/SHM/SHM0001503.jpg,,,,,,,,,, +木樨榄(油橄榄),Olea europaea,方英才、谢早云,2,19820629,湖南,,路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/NYA/NYA0008744.jpg,,,,,,,,,, +木犀榄,Olea europaea,吴培根,9717,19790521,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/SHM/SHM0001508.jpg,,,,,,,,,, +,Olea europaea,黄成就,309,19810420,,0~1700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0651092.jpg,,,,,,,,,, +新疆??菊,Olgaea pectinata,西植新疆队,2098,1978/7/29,新疆,2900,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0337253.jpg,,,,,,,,,, +新疆??菊,Olgaea pectinata,西植新疆队,2098,19780729,新疆维吾尔自治区,2900,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00552146.jpg,,,,,,,,,, +新疆猬菊,Olgaea pectinata,西值新疆队,78-2098,1978.07.,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042482.jpg,,,,,,,,,, +假九眼菊,Olgaea roborowskyi,杨赵平,Li2J1266,20100809,新疆,2627米,山前戈壁,草本,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU01142.jpg,,,,,,,,,, +假九眼菊,Olgaea roborowskyi,西植新疆队,1658,19780717,新疆维吾尔自治区,3730,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00552147.jpg,,,,,,,,,, +刺疙瘩,Olgaea tangutica,刘让原,15307,19590817,山西,1500,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093405.jpg,,,,,,,,,, +青海鳍蓟,Olgaea tangutica,北师大队,SB-025,2013/8/2,陕西省,1300,山坡,草,,https://image.cvh.ac.cn/files/l/BNU/009245.jpg,,,,,,,,,, +青海鳍蓟,Olgaea tangutica,BNU,ZWL-62,20120816,甘肃省,1589,路边,草本,,https://image.cvh.ac.cn/files/l/BNU/0012305.jpg,,,,,,,,,, +无苞芥,Olimarabidopsis pumila,Sino-Russian Altai Expedition,SRAE2004027,20040000,新疆维吾尔自治区,,Desert,,有花无果,https://image.cvh.ac.cn/files/l/PE/01767048.jpg,,,,,,,,,, +丽花独报春,Omphalogramma elegans,俞德浚,20691,19381014,云南省,3500,side of mt. stream sandy & rocky place,,有花无果,https://image.cvh.ac.cn/files/l/KUN/186637.jpg,,,,,,,,,, +,Omphalogramma elegans,"Forrest, George",21793,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00273952.jpg,,,,,,,,,, +丽花独花报春,Omphalogramma elegans,J.F.ROCK,10182,19230700,西藏自治区,0~3900,,,无花有果,https://image.cvh.ac.cn/files/l/N/130237405.jpg,,,,,,,,,, +,Omphalogramma elwesianum,,,,,,,,,,,,,,,,,,, +羽冠大翅蓟,Onopordum leptolepis,M.Popov A.Vvedensky,10724,19270615,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01718394.jpg,,,,,,,,,, +,Onosma bracteata,,,,,,,,,,,,,,,,,,, +长细花滇紫草,Onosma hookeri,魏来、郝加琛,15304,20150727,西藏自治区,4300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0041224.jpg,,,,,,,,,, +长花滇紫草,Onosma hookeri,生物所,5596,19740716,四川省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0537212.jpg,,,,,,,,,, +,Onosma hookeri,F. Kingdon-Ward,902,13-Jul,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00015205.jpg,,,,,,,,,, +毛柱滇紫草,Onosma hookeri var. hirsutum,青藏队,74-3618,19740714,西藏自治区,3800,坡岩石砂砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01354678.jpg,,,,,,,,,, +长花滇紫草,Onosma hookeri var. longiflorum,生物所,7455,19740713,四川省,0~3100,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0537213.jpg,,,,,,,,,, +长花细花滇紫草,Onosma hookeri var. longiflorum,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201767,20200815,西藏,3935,荒坡上,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1508979.jpg,,,,,,,,,, +长细花滇紫草,Onosma hookeri var. longiflorum,"Qiangbang Gong,Yongzeng Zhang,Wenguang Sun,Xing Ji",KC-0181,20140820,云南省,3000~4700,"Gravelly slopes,meadows, thickets",,,https://image.cvh.ac.cn/files/l/KUN/1274629.jpg,,,,,,,,,, +山南滇紫草,Onosma lhokaensis,刘丹辉 许雪敏,BNU2019XZ480,20190617,西藏,4339,路边山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0054897.jpg,,,,,,,,,, +,Onosma nangqenense,何毅 黄体冉,BNU2018SC107,20180715,西藏,,路边荒坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043674.jpg,,,,,,,,,, +,Onosma nangqenense,何毅 黄体冉,BNU2018SC207,20180722,四川,,云杉疏林多石山坡下,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0043668.jpg,,,,,,,,,, +滇紫草,Onosma paniculatum,杨林,GYZ201406220187,20140622,贵州,,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0001560.jpg,,,,,,,,,, +滇紫草,Onosma paniculatum,建水县普查队,5325241048,20200704,云南,1596,林下,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1524800.jpg,,,,,,,,,, +滇紫草,Onosma paniculatum,杜凡组,5326260646,20150607,云南省,1773,,多年生草本植物,有花有果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0038375.jpg,,,,,,,,,, +,Onosma waddellii f. latifolium,"D. E. Boufford, J. H. Chen, K. Fujikawa, S. L. Kel",33858,,,3400,,,,https://image.cvh.ac.cn/files/l/HUH/A00309938.jpg,,,,,,,,,, +宽叶丛茎滇紫草,Onosma waddellii f. latifolium,D.E.Boufford et al.,33858,20050730,西藏自治区,3400,dry slope with scrubby vegetation and narrow meadows along small tributary of Jinshajiang dry slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02050327.jpg,,,,,,,,,, +,Ophiorrhiza arunachalensis,,,,,,,,,,,,,,,,,,, +,Ophiorrhiza calcarata,,,,,,,,,,,,,,,,,,, +,Ophiorrhiza debiana,,,,,,,,,,,,,,,,,,, +,Ophiorrhiza fasciculata,P.Srisanga,1402,20000525,,1480,Herb on ground in moist hill evergreen forest,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0002304.jpg,,,,,,,,,, +簇花蛇根草,Ophiorrhiza fasciculata,北京植物所横断山队,447,19810606,云南省,1700,两岸 沟谷 林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173462.jpg,,,,,,,,,, +簇花蛇根草,Ophiorrhiza fasciculata,青藏队,4408,19740820,西藏自治区,1700,山坡 阔叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00808280.jpg,,,,,,,,,, +,Ophiorrhiza heterostyla,,,,,,,,,,,,,,,,,,, +尖叶蛇根草,Ophiorrhiza hispida,吴磊,4857,20140612,云南省,,洞穴,,,https://image.cvh.ac.cn/files/l/BNU/0015390.jpg,,,,,,,,,, +海南蛇根草,Ophiorrhiza hispida,童毅、童毅华,13082209,20130822,海南省,,,,,https://image.cvh.ac.cn/files/l/BNU/0015387.jpg,,,,,,,,,, +尖叶蛇根草,Ophiorrhiza hispida,T.T.Yu,15920,19380517,云南省 ,1900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0473474.jpg,,,,,,,,,, +黄褐蛇根草,Ophiorrhiza lurida,王洪,9063,20130626,云南,900,沟谷林下,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026608.jpg,,,,,,,,,, +黄褐蛇根草,Ophiorrhiza lurida,陶国达,39127,19900616,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/036920.jpg,,,,,,,,,, +黄褐蛇根草,Ophiorrhiza lurida,青藏队,3953,19740803,西藏自治区,2250,山坡 阔叶混清林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00808287.jpg,,,,,,,,,, +,Ophiorrhiza medogensis var. shiyomiensis,,,,,,,,,,,,,,,,,,, +蛇根草,Ophiorrhiza mungos,任礼,451121140825007LY,20140827,广西壮族自治区,463.2,针阔叶混交林,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0119684.jpg,,,,,,,,,, +蛇根草,Ophiorrhiza mungos,刘正宇,14341,19930828,重庆市,800,溪边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01884650.jpg,,,,,,,,,, +蛇根草,Ophiorrhiza mungos,葛斌杰、王正伟、沈彬,TQ02724,20130324,广西,177.3,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/0020326.jpg,,,,,,,,,, +,Ophiorrhiza nutans,王洪,8515,20060915,云南省,1100,石灰山,草本,,https://image.cvh.ac.cn/files/l/HITBC/0002370.jpg,,,,,,,,,, +垂花蛇根草,Ophiorrhiza nutans,中苏队,2451,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0473892.jpg,,,,,,,,,, +垂花蛇根草,Ophiorrhiza nutans,周应再,ZhouYZ042,20160512,云南,2494,中山湿性常绿阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1445704.jpg,,,,,,,,,, +黄花蛇根草,Ophiorrhiza ochroleuca,王启无,74309,193606,云南省,1540,Thickets,,有花无果,https://image.cvh.ac.cn/files/l/KUN/355792.jpg,,,,,,,,,, +少花蛇根草,Ophiorrhiza pauciflora,赵峰磊等,090331-02,20090331,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0042636.jpg,,,,,,,,,, +少花蛇根草,Ophiorrhiza pauciflora,王启无,220,1936,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/355803.jpg,,,,,,,,,, +少花蛇根草,Ophiorrhiza pauciflora,C.W.Wang,78271,19350000,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00251108.jpg,,,,,,,,,, +,Ophiorrhiza repens,,,,,,,,,,,,,,,,,,, +美丽蛇根草,Ophiorrhiza rosea,中越考察队,1746,19650125,葵州,150,竹林下水边石上,,有果无花,https://image.cvh.ac.cn/files/l/KUN/355937.jpg,,,,,,,,,, +美丽蛇根草,Ophiorrhiza rosea,中越考察队,672,19641202,老街,420~310,石灰岩林下石上荫湿处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/355939.jpg,,,,,,,,,, +美丽蛇根草,Ophiorrhiza rosea,李中提,600599,19580604,广西壮族自治区,0,山谷路旁荫处灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/355933.jpg,,,,,,,,,, +匍匐蛇根草,Ophiorrhiza rugosa,白琳等,13061215,20140602,云南省,,,,,https://image.cvh.ac.cn/files/l/BNU/0018201.jpg,,,,,,,,,, +,Ophiorrhiza rugosa,P.Srisanga,1549,20000901,,900,山常绿阔叶林,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0002403.jpg,,,,,,,,,, +匍地蛇根草,Ophiorrhiza rugosa,青藏队,5961,19750627,西藏自治区,2100,常阔林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00808316.jpg,,,,,,,,,, +,Ophiorrhiza subcapitata,,,,,,,,,,,,,,,,,,, +高原蛇根草,Ophiorrhiza succirubra,生物研究所西藏考察队,1710,19730805,西藏自治区,2300,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/38906.jpg,,,,,,,,,, +地贵草,Ophiorrhiza succirubra,陈家明,95,19591026,贵州,,,,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0077660.jpg,,,,,,,,,, +高原蛇根草,Ophiorrhiza succirubra,H.T.Tsai,54278,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00251120.jpg,,,,,,,,,, +,Ophiorrhiza thomsonii,B.Bartholomew etc.,8679,20010904,,675,Disturbed broadleaved evergreen forest with tall bamboo. On wet gravely soil.,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255540.jpg,,,,,,,,,, +,Ophiorrhiza tingens,,,,,,,,,,,,,,,,,,, +,Ophiorrhiza treutleri,,,,,,,,,,,,,,,,,,, +,Ophiorrhiza trichocarpos,,,,,,,,,,,,,,,,,,, +阴地蛇根草,Ophiorrhiza umbricola,叙永队,684,19770702,四川,600,,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM718501568.jpg,,,,,,,,,, +阴地蛇根草,Ophiorrhiza umbricola,童毅华等,13091025,20130910,四川省,,,直立草本,,https://image.cvh.ac.cn/files/l/BNU/0018143.jpg,,,,,,,,,, +,Ophiorrhiza umbricola,"Forrest, George",17656,18-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00143146.jpg,,,,,,,,,, +,Ophiorrhiza villosa,J.F.Maxwell,88-819,19880629,,1375,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0474067.jpg,,,,,,,,,, +大果蛇根草,Ophiorrhiza wallichii,郭绍荣,,,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0017202.jpg,,,,,,,,,, +大果蛇根草,Ophiorrhiza wallichii,张文富,沐金海,鲍顺荣,ZhangWF069,20190421,云南,602,热带季节雨林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1481566.jpg,,,,,,,,,, +大果蛇根草,Ophiorrhiza wallichii,C.W.Wang,79498,19350000,云南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00251121.jpg,,,,,,,,,, +,Ophiorrhiza wattii,,,,,,,,,,,,,,,,,,, +梨果仙人掌,Opuntia ficus-indica,"李云龙, 鲁仪增, 和荣华, 谷雪原",15PX106,20150918,云南,,村庄居住地旁,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1395029.jpg,,,,,,,,,, +,Opuntia ficus-indica,"王启无,刘瑛",87197,19400513,云南省,600,above rocks,,无花无果,https://image.cvh.ac.cn/files/l/PE/01068646.jpg,,,,,,,,,, +,Opuntia ficus-indica,应俊生,3356,19600509,四川省,2900,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01068644.jpg,,,,,,,,,, +单刺仙人掌,Opuntia monacantha,李沛琼、王国栋,W07082,20070506,广东省,,,,,https://image.cvh.ac.cn/files/l/SZG/SZG00003560.jpg,,,,,,,,,, +,Opuntia monacantha,"李明生,李振宇等",6329,19860814,福建省,436,房前屋后,,有花无果,https://image.cvh.ac.cn/files/l/PE/01068654.jpg,,,,,,,,,, +单刺仙人掌,Opuntia monacantha,刘正宇、张军等,RQHZ06338,20141107,四川省,1654,山坡,多汁草本,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0128829.jpg,,,,,,,,,, +仙人掌,Opuntia stricta,徐有财,2016,19920424,广东省,0,海滩边缘,小灌木,,https://image.cvh.ac.cn/files/l/SZG/SZG00003557.jpg,,,,,,,,,, +仙人掌,Opuntia stricta,彭日成、莫水松、刘静等,ML2053,20120728,广西壮族自治区,560,"路旁灌丛, 少见",,,https://image.cvh.ac.cn/files/l/IBK/IBK00309989.jpg,,,,,,,,,, +,Opuntia stricta,阮金鹏,70,20160627,福建省,250,路边,灌木,无花无果,https://image.cvh.ac.cn/files/l/AU/AU052748.jpg,,,,,,,,,, +,Oreocharis billburttii,,,,,,,,,,,,,,,,,,, +,Oreocharis muscicola,"Forrest, George",5095,5-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00135141.jpg,,,,,,,,,, +,Oreoseris maxima,,,,,,,,,,,,,,,,,,, +,Oreoseris nivea,,,,,,,,,,,,,,,,,,, +牛至,Origanum vulgare,李向义 闫国荣,YL109,96.8.24,新疆维吾尔自治区 ,1300,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00032957.jpg,,,,,,,,,, +牛至,Origanum vulgare,,922,19850821,Baden-wurttemberg,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/218990.jpg,,,,,,,,,, +,Origanum vulgare,胡君、王东超、李丽、唐露,SC-a-060-B15,20180725,贵州,2381,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262854.jpg,,,,,,,,,, +白花列当,Orobanche alba,J.Nyarady,s.n.,19240000,,500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463700.jpg,,,,,,,,,, +白花列当,Orobanche alba,西藏中草药普查队,3525,19720622,西藏自治区,2800,林下大石头上,土中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463697.jpg,,,,,,,,,, +,Orobanche alba,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-112-B23,20190813,四川,2453,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262598.jpg,,,,,,,,,, +,Orobanche alsatica,登山科考队,330,19740701,西藏自治区,3270,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463707.jpg,,,,,,,,,, +弯管列当,Orobanche cernua,何叶琪,6804,1965/6/22,内蒙,1100,,寄生草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0249223.jpg,,,,,,,,,, +弯管列当,Orobanche cernua,黄土队(晋),1143,1983/7/13,山西,1400,,寄生草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0446687.jpg,,,,,,,,,, +弯管列当,Orobanche cernua,循化积石峡考察队,8,19900706,青海省,1850,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/159770.jpg,,,,,,,,,, +西藏列当,Orobanche clarkei,青藏队,76-8145,19760702,西藏自治区,2900~3400,山坡砂砾地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01463989.jpg,,,,,,,,,, +列当,Orobanche coerulescens,J.Kozlov,,19180705,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00030514.jpg,,,,,,,,,, +列当,Orobanche coerulescens,刘英俊、杨筑筑、刘宏达,王正文0216,20150726,内蒙古自治区呼伦贝尔市,530,草甸草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0235306.jpg,,,,,,,,,, +列当,Orobanche coerulescens,步瑞兰、辛晓伟、邵尉、韩文凯,Lilan810,20150801,山东,447,温带草甸,寄生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1480731.jpg,,,,,,,,,, +长苞列当,Orobanche solmsii,青藏补点组,1750779,19750726,西藏自治区,3300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/51409.jpg,,,,,,,,,, +木蝴蝶,Oroxylum indicum,陈俊通,刘国玺,Deng-9327,20200603,云南,1143.5,,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1513558.jpg,,,,,,,,,, +木蝴蝶,Oroxylum indicum,杨平、农时越、农素芸等,BL705,20200809,广西,~660,石灰岩土山;普遍,灌木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00429143.jpg,,,,,,,,,, +木蝴蝶,Oroxylum indicum,德保县普查队,451024150701076LY,20150701,广西壮族自治区,595,阔叶林,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0175274.jpg,,,,,,,,,, +钝叶单侧花,Orthilia obtusata,张重岭,453,198506,内蒙古自治区,,针叶林下,,无花有果,https://image.cvh.ac.cn/files/l/YAK/0003854.jpg,,,,,,,,,, +,Orthilia obtusata,山西队,679,19530826,山西省,0,密林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0230543.jpg,,,,,,,,,, +钝叶单侧花,Orthilia obtusata,刘慎谔等,8911,1956/9/8,辽宁,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0188000.jpg,,,,,,,,,, +,Orthilia secunda,张玉良,140,,辽宁,,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0186318.jpg,,,,,,,,,, +单侧花,Orthilia secunda,,245,1973/8/26,黑龙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0024361.jpg,,,,,,,,,, +单侧花,Orthilia secunda,"刘恩德 182,徐洲锋 28",9176,20190818,新疆,1344,松林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1511039.jpg,,,,,,,,,, +,Orthosiphon incurvus,,,,,,,,,,,,,,,,,,, +,Orthosiphon wattii,,,,,,,,,,,,,,,,,,, +诸葛菜,Orychophragmus violaceus,刘正宇,973304-01,19970303,重庆,720,溪边草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0059046.jpg,,,,,,,,,, +诸葛菜,Orychophragmus violaceus,郭成勇,053008-1,20050406,山东省,100,路旁荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01603134.jpg,,,,,,,,,, +诸葛菜,Orychophragmus violaceus,,208,19720601,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01236255.jpg,,,,,,,,,, +桂花,Osmanthus fragrans,,508244,,北京市,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00025765.jpg,,,,,,,,,, +木樨,Osmanthus fragrans,曾宪锋,ZXF51868,20190805,福建,1280,山谷中,乔木,无花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0047009.jpg,,,,,,,,,, +木犀,Osmanthus fragrans,C.K.Chow,112,19451000,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00075612.jpg,,,,,,,,,, +,Osmanthus henryi,H.F.Chang,424,19300513,重庆市,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00029407.jpg,,,,,,,,,, +,Osmanthus henryi,"李渤生,程树志",2170,19821214,西藏自治区,1300~1800,江边东坡常绿林下常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506172.jpg,,,,,,,,,, +,Osmanthus henryi,A. Henry,10020,,,,,,,https://image.cvh.ac.cn/files/l/NY/00297310.jpg,,,,,,,,,, +香花木樨,Osmanthus suavis,C.I.E.,1127,189205,,,,,有花有果,https://image.cvh.ac.cn/files/l/AU/AU046910.jpg,,,,,,,,,, +,Osmanthus suavis,T.T.Yu,16697,19380711,云南省,2800,Among forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01528321.jpg,,,,,,,,,, +香花木犀,Osmanthus suavis,宋鼎;刘敏;魏定名;杨龙斌;李双斌;张桥蓉,CN086,20190218,云南,2635,林缘,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1552523.jpg,,,,,,,,,, +野桂花,Osmanthus yunnanensis,罗冬林,2064,198008,湖南,,山地,常绿乔木,无花有果,https://image.cvh.ac.cn/files/l/NYA/NYA0007938.jpg,,,,,,,,,, +野桂花,Osmanthus yunnanensis,胡文光等,12151,19511206,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00025863.jpg,,,,,,,,,, +野桂花,Osmanthus yunnanensis,郑清芳,81021,,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/FJFC/FJFC0003461.jpg,,,,,,,,,, +,Osmorhiza aristata var. aristata,Taku Miyazaki,704149,20070414,,210~230,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01922552.jpg,,,,,,,,,, +大齿山芹,Ostericum grosseserratum,瑛,13300,1950/8/11,河北省,1300,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0023918.jpg,,,,,,,,,, +大齿山芹,Ostericum grosseserratum,傅坤俊,5817,19520913,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00159179.jpg,,,,,,,,,, +大齿山芹,Ostericum grosseserratum,朱鑫鑫;王君;王美华,ZXX202141,20200930,安徽,654,林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508179.jpg,,,,,,,,,, +高山全叶山芹,Ostericum maximowiczii var. alpinum,曹亚玲、姚淦,386,Oct-82,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172282.jpg,,,,,,,,,, +,Ostericum scaberulum var. longiinvolucellatum,,,,,,,,,,,,,,,,,,, +,Ostericum scaberulum var. scaberulum,,,,,,,,,,,,,,,,,,, +,Osyris lanceolata,M.Reekmans,7329,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01695283.jpg,,,,,,,,,, +沙针,Osyris lanceolata,张代贵,张代富,820040,20190820,云南,1007,路边,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1515397.jpg,,,,,,,,,, +,Ouret sanguinolenta,,,,,,,,,,,,,,,,,,, +中华山紫茉莉,Oxybaphus himalaicus,刘慎谔,21492,19461014,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0205573.jpg,,,,,,,,,, +山紫茉莉,Oxybaphus himalaicus,刘正宇,971689-02,19970824,重庆市,300,路边岩壁上,伏地草本,有花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0042589.jpg,,,,,,,,,, +中华山紫茉莉,Oxybaphus himalaicus,藏东南考察队 金效华等,SET-ET115,20090813,云南省,2356,lancang River dry-hot valley,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230789.jpg,,,,,,,,,, +中华山紫茉莉,Oxybaphus himalaicus var. chinensis,白龙江考察队,899,19980727,甘肃省,1950~2100,山地 山谷 灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01560956.jpg,,,,,,,,,, +中华山紫茉莉,Oxybaphus himalaicus var. chinensis,杨金祥,2306,1963/8/24,西藏自治区,3600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0215481.jpg,,,,,,,,,, +,Oxybaphus himalaicus var. chinensis,张挺,刘成,郭明明,郑伟光,11CS3651,20111019,云南,755,干热河谷灌草丛,草本,,https://image.cvh.ac.cn/files/l/KUN/1247554.jpg,,,,,,,,,, +灰绿藜,Oxybasis glauca,刘慎谔,4904,19520912,河北,,路旁,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0188367.jpg,,,,,,,,,, +灰绿藜,Oxybasis glauca,王战,2013,19510816,内蒙古,580~600,,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0188632.jpg,,,,,,,,,, +灰绿藜,Oxybasis glauca,黄锁林 杨金祥,6131,19850610,陕西,1100,草地,山坡,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0467951.jpg,,,,,,,,,, +琼滇鸡爪勒,Oxyceros griffithii,,56841,0,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/328001.jpg,,,,,,,,,, +,Oxyceros griffithii,"Forrest, George",19367,21-Apr,,,,,,https://image.cvh.ac.cn/files/l/E/E00327829.jpg,,,,,,,,,, +琼滇鸡爪簕,Oxyceros griffithii,梁向日,69980,19370805,广东省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00102624.jpg,,,,,,,,,, +,Oxyria digyna,顾垒,李忠荣,GaoXF-09ZX-1502,20090731,四川,3200,河畔草地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1240471.jpg,,,,,,,,,, +山蓼,Oxyria digyna,"Jin Xh,Wang LS,Wang Q et al.",ST1808,20130803,云南省,3700~4231,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01979424.jpg,,,,,,,,,, +山蓼,Oxyria digyna,PCCZ,T452,19980822,新疆维吾尔自治区 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/183285.jpg,,,,,,,,,, +中华山蓼,Oxyria sinensis,侯小琪,WNX0234,20140507,贵州,,水旁草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0001371.jpg,,,,,,,,,, +,Oxyria sinensis,拉穷,西落,ZhongY433,20090609,西藏,3370,山坡地灌丛草原,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1240504.jpg,,,,,,,,,, +中华山蓼,Oxyria sinensis,周仕顺,5791,20090516,云南省,3000,附生树上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01869232.jpg,,,,,,,,,, +拉萨厚棱芹,Pachypleurum lhasanum,"倪志诚,次多.次旦,廖世荣",2041,19810907,西藏自治区,4100,山坡灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/00759615.jpg,,,,,,,,,, +厚棱芹属,Pachypleurum lhasanum,西藏生物所植物资源队,3406,19830728,西藏,4260,湖滨草地中,,有花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0005023.jpg,,,,,,,,,, +拉萨厚棱芹,Pachypleurum lhasanum,溥发鼎,328,1984-9 1,四川省,4300,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093879.jpg,,,,,,,,,, +木里厚棱芹,Pachypleurum muliense,赵清盛、牟克华、杨亚滨,7569,1978-8 1,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172285.jpg,,,,,,,,,, +聂拉木厚棱芹,Pachypleurum nyalamense,青藏队,5802,19750623,西藏自治区,3800,山坡湿润治泽,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00759633.jpg,,,,,,,,,, +厚棱芹属,Pachypleurum nyalamense,西藏生物所植物组,25,19880711,西藏,,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0005058.jpg,,,,,,,,,, +聂拉木厚棱芹,Pachypleurum nyalamense,汤宗孝,1051,19810913,云南省,,石质山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01629667.jpg,,,,,,,,,, +西藏厚棱芹,Pachypleurum xizangense,"T.N.Ho、B.Bartholomew、M.Watson,等",1580,19960810,青海省,4050,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00001729.jpg,,,,,,,,,, +西藏厚棱芹,Pachypleurum xizangense,生物研究所西藏考察队,4223,19740824,西藏自治区,4600,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/40656.jpg,,,,,,,,,, +西藏厚棱芹,Pachypleurum xizangense,青藏队,3214,19810804,四川省,3800,灌丛草地或高山栎林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01129874.jpg,,,,,,,,,, +,Paederia foetida,汪庆,等,10048,201410,江苏省,,山坡灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00628826.jpg,,,,,,,,,, +鸡矢藤,Paederia foetida,王定跃,89280,19891024,广东省,40,沟谷,草本,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00045466.jpg,,,,,,,,,, +鸡矢藤,Paederia foetida,张代贵,150810009,20150810,湖南永州,,山坡,藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU34711.jpg,,,,,,,,,, +,Palaquium obovatum,C.Niyomdham et al.,1137,19860112,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0467200.jpg,,,,,,,,,, +,Palaquium polyanthum,,,,,,,,,,,,,,,,,,, +三资逼,Panax japonicus var. bipinnatifidus,裘宝林,1554,19730729,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ039706.jpg,,,,,,,,,, +竹节参,Panax japonicus var. bipinnatifidus,高信芬、涂卫国、乔永康、何海,7686,20030922,西藏,2200,林下阴处,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0180597.jpg,,,,,,,,,, +三资逼,Panax japonicus var. bipinnatifidus,陈彦生、吴振海、黎斌、孙建钊等,3094,2005/6/24,陕西省,2050,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0496292.jpg,,,,,,,,,, +竹节人参,Panax japonicus var. japonicus,贵州珍稀树种调查组(铜仁组),佛顶山-姜状三七-01,19970815,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0016209.jpg,,,,,,,,,, +竹节参(原变种),Panax japonicus var. japonicus,张挺,刘成,姜虹,李昌洪,19CS18317,20190713,四川,2846,林中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506444.jpg,,,,,,,,,, +土参,Panax japonicus var. japonicus,赵子恩,6457,19950712,湖北省,1550,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0145856.jpg,,,,,,,,,, +三七工,Panax japonicus var. major,王启无,69159,19350800,云南省 ,3400,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00032099.jpg,,,,,,,,,, +珠子参,Panax japonicus var. major,刀志灵;蔡磊;杨静;张品;杨佳俊;姚刚;孙卫邦,KIBDZL039B24,20171003,西藏,3145,松、冷杉、云杉混交林,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1562327.jpg,,,,,,,,,, +,Panax japonicus var. major,高信芬、彭玉兰、赵会礼,5455,20030627,四川,3530,杜鹃林下,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0180595.jpg,,,,,,,,,, +三七,Panax notoginseng,黄增任,80133,19801127,广西壮族自治区,780,栽培,草木,乔木,灌木,藤木,无花有果,https://image.cvh.ac.cn/files/l/SSMM/0000198.jpg,,,,,,,,,, +弯喙薹草,Panax notoginseng,单汉荣,6347,19990605,江西省,750,山坡,草地,林边,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00616814.jpg,,,,,,,,,, +三七,Panax notoginseng,张斌、聂二保,8020,20080501,湖北省,,林下,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0039050.jpg,,,,,,,,,, +,Pankycodon purpureus,,,,,,,,,,,,,,,,,,, +,Paralamium griffithii,"Henry, A.",10636,,,,,,,https://image.cvh.ac.cn/files/l/E/E00284154.jpg,,,,,,,,,, +,Parameria polyneura,,3459,18890500,,300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0478595.jpg,,,,,,,,,, +,Paramignya monophylla,N.D. Simpson,8819,1931-11-,,,,攀援,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00044137.jpg,,,,,,,,,, +,Paramignya scandens,"lau,s.k",339,19320730,海南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/137086445.jpg,,,,,,,,,, +,Paramignya scandens,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00044138.jpg,,,,,,,,,, +,Paramollugo nudicaulis,,,,,,,,,,,,,,,,,,, +假福王草,Paraprenanthes sororia,陈功锡,张代贵,LXP-06-3523,20150530,江西省,268,疏林,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU13010.jpg,,,,,,,,,, +,Paraprenanthes sororia,"Bodinier, Emile M.",2400,07 July 1898,,,,,,https://image.cvh.ac.cn/files/l/E/E00394946.jpg,,,,,,,,,, +假福王草,Paraprenanthes sororia,谭策铭,陈和刚,9610126,19961018,湖北省,600,山谷林缘,,无花有果,https://image.cvh.ac.cn/files/l/JJF/00021474.jpg,,,,,,,,,, +藏南蟹甲草,Parasenecio chola,青藏队植被组,4778,19750724,西藏自治区,3300,沟谷Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01836090.jpg,,,,,,,,,, +藏南蟹甲草,Parasenecio chola,,295,19671101,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846430.jpg,,,,,,,,,, +三角叶蟹甲草,Parasenecio deltophyllus,四川植物标本,9338,19750718,四川省,3700,谷坡中部暗针叶林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846487.jpg,,,,,,,,,, +三角叶蟹甲草,Parasenecio deltophyllus,姜恕等,10264,19600625,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846493.jpg,,,,,,,,,, +三角叶蟹甲草,Parasenecio deltophyllus,张卢水、毛星星,SUZLS03327,20180918,四川,2355,,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1559075.jpg,,,,,,,,,, +掌裂蟹甲草,Parasenecio palmatisectus var. palmatisectus,李红、白洪兵,533324180906736LY,20180906,云南,3040,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009377.jpg,,,,,,,,,, +太白山蟹甲草,Parasenecio pilgerianus,李思锋 黎斌 张莹 等,11867,2008/9/20,陕西省,1620,山坡密林下,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/523587.jpg,,,,,,,,,, +太白山蟹甲草,Parasenecio pilgerianus,,6644,19650823,青海省,0~2700,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/00006952.jpg,,,,,,,,,, +太白山蟹甲草,Parasenecio pilgerianus,王作宾,13338,19420729,甘肃省,1800,山谷湿地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846991.jpg,,,,,,,,,, +深裂五裂蟹甲草,Parasenecio quinquelobus,青藏队,1969,19740826,西藏自治区,3200,山谷云杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/722366.jpg,,,,,,,,,, +五裂蟹甲草,Parasenecio quinquelobus,青藏队,1567,1981-6 1,云南省,3320,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0151872.jpg,,,,,,,,,, +,Parasenecio quinquelobus,鞠文彬,郑臣臣,THP-KD-5948,20170812,四川,3727,林中,多年生草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241029.jpg,,,,,,,,,, +深裂王裂蟹甲草,Parasenecio quinquelobus var. sinuatus,"Jin Xh,Wang LS Wang Q,Wei R. Fu ZX Feng YL",ST1658,20130802,云南省,2700~3700,conifer forest to apline meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/02017967.jpg,,,,,,,,,, +深裂五裂蟹甲草,Parasenecio quinquelobus var. sinuatus,青藏队,1969,19740826,西藏自治区,3200,山谷云杉林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/722366.jpg,,,,,,,,,, +蛛毛蟹甲草,Parasenecio roborowskii,朱大海 张超 李小杰,4676,20070812,四川省,2800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/019692.jpg,,,,,,,,,, +蛛毛蟹甲草,Parasenecio roborowskii,北师大秦岭队,TB438,20130627,陕西省,2600,山坡林下,草,,https://image.cvh.ac.cn/files/l/BNU/0014958.jpg,,,,,,,,,, +蛛毛蟹甲草,Parasenecio roborowskii,胡秀英,2572,,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI035884.jpg,,,,,,,,,, +大理蟹甲草,Parasenecio taliensis,王汉臣,2656,19420802,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606894.jpg,,,,,,,,,, +大理蟹甲草,Parasenecio taliensis,和凤光,谢爱芳,zhwy-290,20090904,云南省,3378,高山植物园茶室旁,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005341.jpg,,,,,,,,,, +四川新分布,Parasenecio taliensis,鞠文彬,郑臣臣,THP-KD-6021,20170813,四川,3607,林中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251943.jpg,,,,,,,,,, +茉莉果,Parastyrax lacei,M.Takahashi,1069,19820713,Shikoku,900,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/26309.jpg,,,,,,,,,, +茉莉果,Parastyrax lacei,陈根蓉,2321,1958,浙江省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/25162.jpg,,,,,,,,,, +茉莉果,Parastyrax lacei,岳俊三等,3301,19630812,江西省,1000,山坡杂林中,,有果无花,https://image.cvh.ac.cn/files/l/KUN/25157.jpg,,,,,,,,,, +,Parogonum cynanchoides,,,,,,,,,,,,,,,,,,, +,Parogonum cynanchoides subsp. glabriusculum,,,,,,,,,,,,,,,,,,, +,Parrya glabra,"D.E.Boufford,B.Bartholomew,S.L.Kelley etc.",36003,20060807,四川省,4330~4400,Ravine with small stream from spring scree slopes meadow-like clearings and dwarf Rhododendron thickets scree slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/02108989.jpg,,,,,,,,,, +,Parrya glabra,青藏队补点队,751405,19750819,西藏自治区,4600~4750,山顶石缝中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01161454.jpg,,,,,,,,,, +羽裂条果芥,Parrya pinnatifida,关克俭,2654,19570806,新疆维吾尔自治区,,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01998078.jpg,,,,,,,,,, +无毛条果芥,Parrya pinnatifida,青藏队,7496,19750906,西藏自治区,4850,河旁陡岩上,,无花有果,https://image.cvh.ac.cn/files/l/PE/01161466.jpg,,,,,,,,,, +羽裂条果芥,Parrya pinnatifida,周太炎,等,650883,19650622,新疆维吾尔自治区 ,1600,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00329134.jpg,,,,,,,,,, +,Parryodes axilliflora,,,,,,,,,,,,,,,,,,, +墓头回,Patrinia heterophylla,青甘队,1948,1959/9/21,青海,2500,,草本、直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0412773.jpg,,,,,,,,,, +窄叶败酱,Patrinia heterophylla,周太炎,等,250,19590819,山东省,,,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00270815.jpg,,,,,,,,,, +墓回头,Patrinia heterophylla,马凤江等,CH-P001-66,20160811,辽宁省,46.9,阴坡,坡顶,,有花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF009389.jpg,,,,,,,,,, +中败酱,Patrinia intermedia,,11265,77.07.10,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00035821.jpg,,,,,,,,,, +中败酱,Patrinia intermedia,标本室,3340,19560800,河北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0497613.jpg,,,,,,,,,, +中败酱,Patrinia intermedia,汪劲武,86,19780817,河北,1400,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0062849.jpg,,,,,,,,,, +少蕊败酱,Patrinia monandra,歐潤芝,EX-TD025,20031120,台湾,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0109766.jpg,,,,,,,,,, +少蕊败酱,Patrinia monandra,陈彦生、吴振海、黎斌、郭晓思等,3327,2005/9/14,重庆市,1700,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0499188.jpg,,,,,,,,,, +少蕊败酱,Patrinia monandra,李书心,6933,19850906,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/13801006x0001.jpg,,,,,,,,,, +糙叶败酱,Patrinia rupestris,程艺,DC659,20210712,湖北,20,山坡,,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0221581.jpg,,,,,,,,,, +岩败酱,Patrinia rupestris,陈彦生、吴振海、黎斌、孙建钊,2656,2005/6/16,重庆市,1060,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0495846.jpg,,,,,,,,,, +,Patrinia rupestris,,,195408,黑龙江,,,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00038030.jpg,,,,,,,,,, +败酱,Patrinia scabiosifolia,张代贵,张代富,816075,20190816,四川,1302,山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1515725.jpg,,,,,,,,,, +,Patrinia scabiosifolia,孔冬梅,k0412,20140724,山西省,1578,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02015883.jpg,,,,,,,,,, +败酱,Patrinia scabiosifolia,张重岭,150702190720118LY,20190720,内蒙古,664,,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IATM/IATM0004911.jpg,,,,,,,,,, +,Patrinia speciosa,George Forrest,20254,1922,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU044578.jpg,,,,,,,,,, +秀苞败酱,Patrinia speciosa,刘国钧,88-008,88.06.23,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00035830.jpg,,,,,,,,,, +秀苞败酱,Patrinia speciosa,马山队,450124140722083LY,20140722,广西壮族自治区,,,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0154175.jpg,,,,,,,,,, +楸叶泡桐,Paulownia catalpifolia,竺肇华,7,19730508,北京市,,街道行道树,,有花有果,https://image.cvh.ac.cn/files/l/PE/01434611.jpg,,,,,,,,,, +楸叶泡桐,Paulownia catalpifolia,中德考察队,35346,19870620,Northern Tyrolia,1200~1400,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/476155.jpg,,,,,,,,,, +楸叶泡桐,Paulownia catalpifolia,邱炳云,60997,19750923,云南省,,山坡,蔓生草本,,https://image.cvh.ac.cn/files/l/IBK/IBK00242513.jpg,,,,,,,,,, +,Pavetta crassicaulis,,,,,,,,,,,,,,,,,,, +多花大沙叶,Pavetta polyantha,邓世纬,91040,19360924,贵州省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0475849.jpg,,,,,,,,,, +多花大沙叶,Pavetta polyantha,周建军,17100404,20171004,湖南,460,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI068116.jpg,,,,,,,,,, +多花大沙叶,Pavetta polyantha,李永亮,LiYL1899,20171120,云南,1340,南亚热带针阔混交林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1481300.jpg,,,,,,,,,, +,Pavetta subcapitata,,,,,,,,,,,,,,,,,,, +,Pavetta tomentosa,陶国达等,930625,19930513,,,,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0002714.jpg,,,,,,,,,, +绒毛大沙叶,Pavetta tomentosa,勐腊普查队,5328230423,20150702,云南省,672.4,灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0031503.jpg,,,,,,,,,, +绒毛大沙叶,Pavetta tomentosa,董洪进,陈丽,赵倩茹,747,20120607,云南省 ,,riverside,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227809.jpg,,,,,,,,,, +西藏阿拉善马先蒿,Pedicularis alaschanica,,Q119,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480725.jpg,,,,,,,,,, +阿拉善马先蒿,Pedicularis alaschanica,,1253,19830808,宁夏回族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480706.jpg,,,,,,,,,, +阿拉善马先蒿,Pedicularis alaschanica,路飞英,,20130628,新疆,4093,,,,https://image.cvh.ac.cn/files/l/BNU/BNU0022568.jpg,,,,,,,,,, +西藏阿拉善马先蒿,Pedicularis alaschanica subsp. tibetica,青藏队藏北分队郎楷永,10135,19760905,西藏自治区,4700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/60945.jpg,,,,,,,,,, +阿拉善马先蒿西藏亚种,Pedicularis alaschanica subsp. tibetica,谢登峰、成瑞渝,2032049,20190926,四川,3110,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02032049.jpg,,,,,,,,,, +西藏阿拉善马先蒿,Pedicularis alaschanica subsp. tibetica,,Q119,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480725.jpg,,,,,,,,,, +,Pedicularis albiflora,"F.Ludlow,G.Sherriff,& H.H.Elliot",14290,19470809,西藏自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00094876.jpg,,,,,,,,,, +西藏鸭首马先蒿,Pedicularis anas var. tibetica,杨福生,Y0145,20010807,西藏自治区,3780,西北坡、冷杉林及柏树林隙,,有花无果,https://image.cvh.ac.cn/files/l/PE/00084283.jpg,,,,,,,,,, +,Pedicularis anas var. tibetica,D.E.Boufford,B.Bartholomew,D.A.Eaton,X.H.Li,R.H.Re,41796,20090803,西藏,4030-4100,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1436831.jpg,,,,,,,,,, +西藏鸭首马先蒿,Pedicularis anas var. tibetica,管中天,50668,19600417,四川省,3730,云冷杉林采伐地-重湿-山地潜育化棕色森林土类型,,有花无果,https://image.cvh.ac.cn/files/l/PE/00094972.jpg,,,,,,,,,, +,Pedicularis aschistorrhyncha,,,,,,,,,,,,,,,,,,, +美丽马先蒿,Pedicularis bella,邓姣姣、卫靜丽、刘常坤,WJL-10-B-063,20200820,四川,3601.25m,山坡草地,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02061063.jpg,,,,,,,,,, +美丽马先蒿,Pedicularis bella,伊廷双,张书东,80593,20080806,陕西,2996,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1434755.jpg,,,,,,,,,, +美丽马先蒿,Pedicularis bella,刘照光,7594,1974/8/13,四川省,4100,,草本,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0095431.jpg,,,,,,,,,, +全叶美丽马先蒿,Pedicularis bella subsp. holophylla,青藏补点,751407,19750819,西藏自治区,4750,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/52018.jpg,,,,,,,,,, +,Pedicularis bifida,西藏中草药普查队,1056,19720813,西藏自治区,2300,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00095231.jpg,,,,,,,,,, +,Pedicularis bifida,,501,19070700,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00095236.jpg,,,,,,,,,, +碎米蕨叶马先蒿,Pedicularis cheilanthifolia,刘全儒,ALT.046,20140724,新疆省,4001,荒漠,草本,,https://image.cvh.ac.cn/files/l/BNU/0027542.jpg,,,,,,,,,, +斯文氏,Pedicularis cheilanthifolia,,770222,19770711,,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480759.jpg,,,,,,,,,, +斯文氏碎米蕨叶马先蒿,Pedicularis cheilanthifolia,秦志业,10407,19640630,西藏自治区,0~4960,,草本,无花有果,https://image.cvh.ac.cn/files/l/N/257148361.jpg,,,,,,,,,, +斯文氏碎米蕨叶马先蒿,Pedicularis cheilanthifolia subsp. svenhedinii,生物所,10037,19750628,四川省,0~3420,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0573799.jpg,,,,,,,,,, +斯文氏,Pedicularis cheilanthifolia subsp. svenhedinii,,770222,19770711,,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480759.jpg,,,,,,,,,, +斯文氏碎米蕨叶马先蒿,Pedicularis cheilanthifolia subsp. svenhedinii,"刘成, 蔡杰, 张挺, 亚吉东, 杨湘云, 李德铢, 杨永平, 杨梅",18CS17426,20180909,西藏,4979,河漫滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487491.jpg,,,,,,,,,, +,Pedicularis chumbica,,,,,,,,,,,,,,,,,,, +克氏马先蒿,Pedicularis clarkei,西藏中草药普查队,1549,19720827,西藏自治区,3700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/81202.jpg,,,,,,,,,, +克氏马先蒿,Pedicularis clarkei,,8571004,19850731,,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/182964.jpg,,,,,,,,,, +,Pedicularis columigera,,,,,,,,,,,,,,,,,,, +,Pedicularis comptoniifolia,"蔡杰,刘成,秦少发,杨娅娟",08CS331,20080820,云南省,2225,云南松松林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1383363.jpg,,,,,,,,,, +干黑马先蒿,Pedicularis comptoniifolia,孙庆文,,20030813,贵州,1800,阳处、草坡、山顶,直立草本,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0075276.jpg,,,,,,,,,, +干里马先蒿,Pedicularis comptoniifolia,蒋兴麐,36153,19530630,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00053414.jpg,,,,,,,,,, +,Pedicularis confertiflora,高信芬、涂卫国、何海、乔永康,7624,20030921,西藏自治区,3260,灌丛下,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190425.jpg,,,,,,,,,, +,Pedicularis confertiflora,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-149-B19,20190825,西藏,4011,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262414.jpg,,,,,,,,,, +,Pedicularis confertiflora,"Forrest, George",10776,13-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00265808.jpg,,,,,,,,,, +,Pedicularis cornigera,"李渤生,李辉,多吉次旦",13058,19900815,西藏自治区,4600~4800,高山Rh灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00095646.jpg,,,,,,,,,, +隐花马先蒿,Pedicularis cryptantha,生物研究所西藏考察队,694,19730627,西藏自治区,2800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/84124.jpg,,,,,,,,,, +,Pedicularis cryptantha,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",15060,25-May-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00284061.jpg,,,,,,,,,, +,Pedicularis cryptantha subsp. erecta,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",15060,25-May-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00284061.jpg,,,,,,,,,, +直立隐花马先蒿,Pedicularis cryptantha subsp. erecta,"F.Ludlow,G.Sherriff & H.H.Elliot",15060,19470525,西藏自治区,3333,growing in pine forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031360.jpg,,,,,,,,,, +道氏马先蒿,Pedicularis daltonii,钟补求,5775,19530721,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00236488.jpg,,,,,,,,,, +道氏马先蒿,Pedicularis daltonii,付筱,雷嘉卿,周雨阳,LJQ-B-11-19,20210531,四川,2451,路边,阴生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02066827.jpg,,,,,,,,,, +大卫氏马先蒿,Pedicularis davidii,J.F.Rock,12923,19250700,甘肃省,,,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00236497.jpg,,,,,,,,,, +宽齿大卫氏马先蒿,Pedicularis davidii,张挺,刘成,马梁梁,付小刚,20CS19549,20200709,四川,3862,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1504584.jpg,,,,,,,,,, +宽齿大卫氏马先蒿,Pedicularis davidii,K.L.Chu,2061,19350827,重庆市,2300,on road side,erect herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00031363.jpg,,,,,,,,,, +,Pedicularis densispica subsp. schneideri,"Schneider, Camillo Karl",1710,2-Jul-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00284063.jpg,,,,,,,,,, +许氏密穗马先蒿,Pedicularis densispica subsp. schneideri,H.T.Tsai,58076,19340820,云南省 ,0~4000,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574034.jpg,,,,,,,,,, +许氏密穗马先蒿,Pedicularis densispica subsp. schneideri,J.F.ROCK,4502,19220500,云南省,0~3600,,,无花有果,https://image.cvh.ac.cn/files/l/N/257148368.jpg,,,,,,,,,, +绿盔密穗马先蒿,Pedicularis densispica subsp. viridescens,"F.Ludlow,G.Sherriff,& H.H.Elliot",13924,19470618,西藏自治区,3930,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118315.jpg,,,,,,,,,, +绿盔密穗马先蒿,Pedicularis densispica subsp. viridescens,青藏队横断山队,1382,19810823,云南省,3200~3300,高山松林沼泽地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118305.jpg,,,,,,,,,, +铺散马先蒿,Pedicularis diffusa,杨光辉,55328,19570612,四川省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574038.jpg,,,,,,,,,, +高升铺散马先蒿,Pedicularis diffusa,"F.Ludlow,G.Sherriff & G.Taylor",4936,19380622,西藏自治区,3667,on grassy banks in conife forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031372.jpg,,,,,,,,,, +铺散马先蒿?,Pedicularis diffusa,王辰,LZ047,20120710,西藏,3900,,,,https://image.cvh.ac.cn/files/l/BNU/0014113.jpg,,,,,,,,,, +高升铺散马先蒿,Pedicularis diffusa subsp. elatior,"F.Ludlow,G.Sherriff & G.Taylor",4936,19380622,西藏自治区,3667,on grassy banks in conife forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031372.jpg,,,,,,,,,, +,Pedicularis elsholtzioides,,,,,,,,,,,,,,,,,,, +哀氏马先蒿,Pedicularis elwesii,G.Forrest,10805,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574052.jpg,,,,,,,,,, +哀氏马先蒿,Pedicularis elwesii,方震东,1730,19900908,云南省,,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002954.jpg,,,,,,,,,, +哀氏马先蒿,Pedicularis elwesii,杨永昌,1379,196507??,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/12986.jpg,,,,,,,,,, +,Pedicularis elwesii subsp. major,"Rock, J.F.",22251,May-32,,,,,,https://image.cvh.ac.cn/files/l/E/E00386159.jpg,,,,,,,,,, +高大哀氏马先蒿,Pedicularis elwesii subsp. major,俞德浚,19738,19380807,云南省,3700,Mt.Slope open & grassy place,,有花无果,https://image.cvh.ac.cn/files/l/KUN/475325.jpg,,,,,,,,,, +,Pedicularis elwesii subsp. minor,"Rock, J.F.",22167,May-32,,,,,,https://image.cvh.ac.cn/files/l/E/E00386158.jpg,,,,,,,,,, +矮小哀氏马先蒿,Pedicularis elwesii subsp. minor,崔友文,5462,19510822,四川省,4100,高山Pass处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118576.jpg,,,,,,,,,, +卓越马先蒿,Pedicularis excelsa,青藏队补点组,751848,19750909,西藏自治区,3200,林下沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00118582.jpg,,,,,,,,,, +卓越马先蒿,Pedicularis excelsa,"F.Ludlow,G.Sherriff,& J.H.Hicks",19448,19490717,,4000,In dense rhododendron & fir forest.,,有花有果,https://image.cvh.ac.cn/files/l/PE/00118585.jpg,,,,,,,,,, +,Pedicularis filiculiformis,"Ludlow, Francis & Sherriff, George",2197,22-Jun-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00284057.jpg,,,,,,,,,, +假拟蕨马先蒿,Pedicularis filiculiformis,"F.Ludlow,G.Sherriff",2197,19360722,西藏自治区,4833,on open damp stony hillside,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031455.jpg,,,,,,,,,, +假拟蕨马先蒿,Pedicularis filiculiformis,云大,295,19560709,云南省,0~3900,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574084.jpg,,,,,,,,,, +阜莱氏马先蒿,Pedicularis fletcheri,西藏中草药普查队,3755,19720712,西藏自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/82440.jpg,,,,,,,,,, +阜莱氏马先蒿,Pedicularis fletcheri,王继涛,LZ119,20120719,西藏,3200,,,,https://image.cvh.ac.cn/files/l/BNU/0014216.jpg,,,,,,,,,, +,Pedicularis fletcheri,"Ludlow, Frank: Sherriff, George & Taylor, George",4828,15-Jun-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00284058.jpg,,,,,,,,,, +曲茎马先蒿,Pedicularis flexuosa,中科院植物研究所,1480,19760821,西藏自治区,4130,,,有花无果,https://image.cvh.ac.cn/files/l/SXU/SD00010925.jpg,,,,,,,,,, +,Pedicularis flexuosa,L.Dhevoj,97,19280000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031453.jpg,,,,,,,,,, +糠秕马先蒿,Pedicularis furfuracea,,312,19590617,西藏自治区,3650,石隙,,有花无果,https://image.cvh.ac.cn/files/l/PE/00118681.jpg,,,,,,,,,, +糠秕马先蒿,Pedicularis furfuracea,,8530154,19850707,,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/476154.jpg,,,,,,,,,, +,Pedicularis garckeana,,,,,,,,,,,,,,,,,,, +球花马先蒿,Pedicularis globifera,四川植被调查队,7324,1974/7/7,四川省,3800,,草本,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0095478.jpg,,,,,,,,,, +球花马先蒿,Pedicularis globifera,郭柯,K-178,19900806,青海省,4840,北坡山地,高寒草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099565.jpg,,,,,,,,,, +球花马先蒿,Pedicularis globifera,,782,19590705,西藏自治区,0~5000,,,无花有果,https://image.cvh.ac.cn/files/l/N/257148380_1.jpg,,,,,,,,,, +纤细马先蒿中国亚种,Pedicularis gracilis,陈世龙、高庆波、张发起等,Chensl-1549,20110816,青海省,3180,松柏林下,直立草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00000287.jpg,,,,,,,,,, +,Pedicularis gracilis,蔡希陶,56133,19330923,云南省,3000,in ravine,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00236559.jpg,,,,,,,,,, +中国纤细马先蒿,Pedicularis gracilis,"熊济华,周子林",92682,1957/8/12,重庆,2050,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0316686.jpg,,,,,,,,,, +大果纤细马先蒿,Pedicularis gracilis subsp. macrocarpa,钟补求,5969,19530727,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00236554.jpg,,,,,,,,,, +大果纤细马先蒿,Pedicularis gracilis subsp. macrocarpa,张灿明,2996,19910907,云南省,3150,路边,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003215.jpg,,,,,,,,,, +中国纤细马先蒿,Pedicularis gracilis subsp. sinensis,张桥蓉,蒋婷,王昆仑,ZhangYH093,20190915,云南,2408,云南松林下,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489848.jpg,,,,,,,,,, +中国纤细马先蒿,Pedicularis gracilis subsp. sinensis,H.T.Tsai,57923,19340915,云南省 ,0~2600,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574111.jpg,,,,,,,,,, +中华纤细马先蒿,Pedicularis gracilis subsp. sinensis,武素功,8380,19640815,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/044326.jpg,,,,,,,,,, +坚挺纤细马先蒿,Pedicularis gracilis subsp. stricta,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201129,20200722,西藏,2210,河边,一年生,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507515.jpg,,,,,,,,,, +坚挺纤细马先蒿,Pedicularis gracilis subsp. stricta,王新光,781,19590802,西藏自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/257148381.jpg,,,,,,,,,, +,Pedicularis gracilis subsp. stricta,"F.Ludlow,G.Sherriff,& J.H.Hicks",19265,19490630,,4000,"Very little seen,on steep sandy slopes.",,有花无果,https://image.cvh.ac.cn/files/l/PE/00118897.jpg,,,,,,,,,, +亨氏马先蒿,Pedicularis henryi,陈焕镛,9118,19330600,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00053446.jpg,,,,,,,,,, +亨氏马先蒿,Pedicularis henryi,,253,1957.8.1,河南,900,,,有花无果,https://image.cvh.ac.cn/files/l/HENU/0360116.jpg,,,,,,,,,, +江南马先蒿,Pedicularis henryi,安明态,NY-1009,20120707,贵州省,1850~2025,林下,草本,无花无果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0031872.jpg,,,,,,,,,, +狭叶马先蒿,Pedicularis heydei,吴玉虎,35819,20050710,青海省,0~4720,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0213311.jpg,,,,,,,,,, +,Pedicularis heydei,"张永田,郞楷永",1842,19650818,西藏自治区,5000,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00119067.jpg,,,,,,,,,, +,Pedicularis heydei,Heyde,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00031466.jpg,,,,,,,,,, +,Pedicularis inflexirostris,D.E.Boufford etc.,31512,20040801,西藏自治区,3960,Meadow,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255358.jpg,,,,,,,,,, +,Pedicularis instar,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033106.jpg,,,,,,,,,, +全缘全叶马先蒿,Pedicularis integrifolia,不祥,430,19640720,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/131705.jpg,,,,,,,,,, +全缘全叶马先蒿,Pedicularis integrifolia,彭玉兰、张君议、杨焰,THP-KD-1773,20170712,四川,3349-3382,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0239927.jpg,,,,,,,,,, +全缘全叶马先蒿,Pedicularis integrifolia,四川植被调查队,3130,1973/8/12,四川省,4700,,草本,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0095484.jpg,,,,,,,,,, +全缘全叶马先蒿,Pedicularis integrifolia subsp. integerrima,四川植被调查队,2144,1973-7 1,四川省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0127162.jpg,,,,,,,,,, +全缘全叶马先蒿,Pedicularis integrifolia subsp. integerrima,"张永田,郞楷永",1269,19650803,西藏自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00119230.jpg,,,,,,,,,, +全缘全叶马先蒿,Pedicularis integrifolia subsp. integerrima,彭玉兰、张君议、杨焰,THP-KD-1773,20170712,四川,3349-3382,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0239926.jpg,,,,,,,,,, +青海甘肃马先蒿,Pedicularis kansuensis subsp. kokonorica,谢传认,98,19800614,四川省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00247683.jpg,,,,,,,,,, +青海甘肃马先蒿,Pedicularis kansuensis subsp. kokonorica,西北高原生物研究所,1190,1962/6/21,青海,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0229076.jpg,,,,,,,,,, +青海甘肃马先蒿,Pedicularis kansuensis subsp. kokonorica,生物研究所西藏考察队,2028,19730812,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/86874.jpg,,,,,,,,,, +甘肃马先蒿厚毛亚种,Pedicularis kansuensis subsp. villosa,余岩、粟美好,2023458,20190815,四川,3135,路边,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02023458.jpg,,,,,,,,,, +厚毛甘肃马先蒿,Pedicularis kansuensis subsp. villosa,刘尚武 黄荣福,728,19660803,青海省,4100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/17383.jpg,,,,,,,,,, +厚毛甘肃马先蒿,Pedicularis kansuensis subsp. villosa,生物研究所西藏考察队,2648,19730825,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/87716.jpg,,,,,,,,,, +马先蒿属,Pedicularis kawaguchii,"周卓,李彦波,孙露,张成,阳亿",ZJW-3771,20150906,西藏自治区,2841,林缘,次生林,,,https://image.cvh.ac.cn/files/l/KUN/1275031.jpg,,,,,,,,,, +,Pedicularis khoiyangii,,,,,,,,,,,,,,,,,,, +,Pedicularis kuruchuensis,,,,,,,,,,,,,,,,,,, +绒舌马先蒿,Pedicularis lachnoglossa,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20873,20200630,西藏,3972,水边湿地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505246.jpg,,,,,,,,,, +绒舌马先蒿,Pedicularis lachnoglossa,T.T.Yu,6129,,云南省 ,0~3300,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574338.jpg,,,,,,,,,, +绒舌马先蒿,Pedicularis lachnoglossa,齐威,LJQ-406,,甘肃省,0~3870,高寒草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0281933.jpg,,,,,,,,,, +,Pedicularis lecomtei,彭玉兰、涂卫国、幸福,Gaoxf0005,20080713,四川,4299,高山草矮灌丛甸,直立草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0205082.jpg,,,,,,,,,, +,Pedicularis lecomtei,"Delavay, J.M.",3755,1889-7-10,,,,,,https://image.cvh.ac.cn/files/l/P/P00587596.jpg,,,,,,,,,, +勒公氏马先蒿,Pedicularis lecomtei,R.P.Delavay,3755,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033122.jpg,,,,,,,,,, +,Pedicularis lhasana,,,,,,,,,,,,,,,,,,, +,Pedicularis liguliflora,,,,,,,,,,,,,,,,,,, +条纹马先蒿,Pedicularis lineata,Eaton; McKenzie; Meek; Jin,DE766,20190720,四川,4133,"High alpine meadow, Rhododendron thicket, and scree slopes.",草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1557833.jpg,,,,,,,,,, +条纹马先蒿,Pedicularis lineata,何毅、杨容,GSL2014080782,2014/8/18,陕西省,,路边林下,,,https://image.cvh.ac.cn/files/l/BNU/001273.jpg,,,,,,,,,, +,Pedicularis lineata,C.C.Chang,,19320617,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/257148395.jpg,,,,,,,,,, +长花马先蒿,Pedicularis longiflora,马天贵,0,19820702,河北,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0058502.jpg,,,,,,,,,, +长花马先蒿,Pedicularis longiflora,赵一之,2218,19900817,内蒙古自治区,1960,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0031931.jpg,,,,,,,,,, +管状长花马先蒿,Pedicularis longiflora,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,潘永泰,8月7日,20180815,西藏,4385.6,,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0193601.jpg,,,,,,,,,, +管状长花马先蒿,Pedicularis longiflora var. tubiformis,山诺会,,19980800,青海省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00018960.jpg,,,,,,,,,, +斑唇马先蒿,Pedicularis longiflora var. tubiformis,赵魁义,788,19810824,云南省,4200,高山沼泽,建群种,,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0007545.jpg,,,,,,,,,, +管状长花马先蒿,Pedicularis longiflora var. tubiformis,陈晓澄等,4573,20130812,青海,3270,金露梅灌丛阳坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00021014.jpg,,,,,,,,,, +浅黄马先蒿,Pedicularis lutescens,杨竞生,904,19910926,甘肃省,2800,草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/474887.jpg,,,,,,,,,, +浅黄马先蒿,Pedicularis lutescens,Eaton; McKenzie; Meek; Jin,DE663,20190717,四川,3647,Wet meadow with stream.,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1555647.jpg,,,,,,,,,, +多枝浅黄马先蒿,Pedicularis lutescens,"应俊生,洪德元",651285,19650730,西藏自治区,3350,林缘小溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134059.jpg,,,,,,,,,, +,Pedicularis lutescens subsp. longipetiolata,,,,,,,,,,,,,,,,,,, +多枝浅黄马先蒿,Pedicularis lutescens subsp. ramosa,李文丽,杨雪,88,20020828,云南省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255386.jpg,,,,,,,,,, +多枝浅黄马先蒿,Pedicularis lutescens subsp. ramosa,宋滋圃,39034,19540000,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574395.jpg,,,,,,,,,, +,Pedicularis lyrata,K.M.Liou,6413,19360803,青海省,2320,Lieux hwebeu des coteaux,,有花有果,https://image.cvh.ac.cn/files/l/PE/00134062.jpg,,,,,,,,,, +琴盔马先蒿,Pedicularis lyrata,Eaton; McKenzie; Meek; Jin,DE707,20190718,青海,3600,Roadside meadow and stream.,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1555738.jpg,,,,,,,,,, +琴盔马先蒿,Pedicularis lyrata,俞德俊,11865,19380107,云南省,0~3200,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574396.jpg,,,,,,,,,, +硕花马先蒿,Pedicularis megalantha,王新光,701,19590730,西藏自治区,0~3450,,,有花无果,https://image.cvh.ac.cn/files/l/N/257148412.jpg,,,,,,,,,, +硕花马先蒿,Pedicularis megalantha,,8572358,19850609,,0,In open grassy place on rocky slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/476139.jpg,,,,,,,,,, +硕花马先蒿,Pedicularis megalantha,熊济华,张秀实,等,31350,19520627,四川省,,,草本匍伏性,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00236702.jpg,,,,,,,,,, +,Pedicularis megalochila,"Ludlow, Francis & Sherriff, George",1874,28-Jun-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00284055.jpg,,,,,,,,,, +大唇马先蒿,Pedicularis megalochila,王清泉,20257,1979-6 2,四川省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0127194.jpg,,,,,,,,,, +大唇马先蒿,Pedicularis megalochila,郭先林、许新锐,2040787,20200717,四川,4692,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02040787.jpg,,,,,,,,,, +,Pedicularis megalochila var. ligulata,"Ludlow, Francis & Sherriff, George",1874,28-Jun-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00284055.jpg,,,,,,,,,, +舌状大唇马先蒿,Pedicularis megalochila var. ligulata,"F.Ludlow,G.Taylor",5574,19380616,西藏自治区,4330~4500,Among small shrubs on open steep grassy hillside.,,有花有果,https://image.cvh.ac.cn/files/l/PE/00134231.jpg,,,,,,,,,, +,Pedicularis merrilliana,余奇、李诗琦、李蒙,Y-MEK-02,20180613,四川,4086.3,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0246239.jpg,,,,,,,,,, +,Pedicularis merrilliana,"张永洪,王晓雄,周卓,岳亮亮等",SunH-07ZX-1031,20080723,西藏自治区,5307,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1383869.jpg,,,,,,,,,, +,Pedicularis merrilliana,J. F. Rock,17707,29-Jun,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00097272.jpg,,,,,,,,,, +小萼马先蒿,Pedicularis microcalyx,"Ludlow,Sherriff & Hicks",16699,19490630,,4330,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134077.jpg,,,,,,,,,, +小萼马先蒿,Pedicularis microcalyx,F.Ludlow & G.Sherriff,2407,19360719,西藏自治区,4660,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134076.jpg,,,,,,,,,, +小唇马先蒿,Pedicularis microchila,第一组(97林),60,19980623,贵州省,,,,无花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0016253.jpg,,,,,,,,,, +小唇马先蒿,Pedicularis microchila,周太炎等,650597,19650608,新疆维吾尔自治区,1900,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/700082.jpg,,,,,,,,,, +,Pedicularis microchila,,20575,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0058504.jpg,,,,,,,,,, +柔毛马先蒿,Pedicularis mollis,T.N.Ho(HNWP)等,2860,19960904,青海省,0~3650,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0287181.jpg,,,,,,,,,, +柔毛马先蒿,Pedicularis mollis,陈晓澄等,Chenxc-137,20170828,西藏,3778,裸岩壁下干草地,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019103.jpg,,,,,,,,,, +柔毛马先蒿,Pedicularis mollis,,8350800,19830803,,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/91584.jpg,,,,,,,,,, +藓生马先蒿,Pedicularis muscicola,Licent,11913,19350630,山西省,,,,无花有果,https://image.cvh.ac.cn/files/l/TIE/00061473.jpg,,,,,,,,,, +藓生马先蒿,Pedicularis muscicola,朱云枝,,20040825,湖北,3000~3300,,,有花无果,https://image.cvh.ac.cn/files/l/NEAU/NEAU0006788.jpg,,,,,,,,,, +藓生马先蒿,Pedicularis muscicola,张磊,张朝攀,zlnmu2022080,20220710,宁夏,1787,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/NMU/NMU00690.jpg,,,,,,,,,, +,Pedicularis nana,F.Ludlow & G.Sherriff,8802a,19420710,西藏自治区,5000,On peaty soil on open hillsides.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134587.jpg,,,,,,,,,, +,Pedicularis nana,"F.Ludlow,G.Sherriff,& J.H.Hicks",19381,19490707,,5000,On open rocky steep hillside.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134589.jpg,,,,,,,,,, +,Pedicularis nepalensis,Ludlow & Sherriff ,5900,19380921,西藏自治区,4660,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00134607.jpg,,,,,,,,,, +,Pedicularis ningjuingensis,,,,,,,,,,,,,,,,,,, +,Pedicularis odontophora,,,,,,,,,,,,,,,,,,, +华马先蒿,Pedicularis oederi,方震东、和光、史效武、海仙,G-190,20051006,云南,4470,高山灌木丛,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG008345.jpg,,,,,,,,,, +,Pedicularis oederi,,22244,19570611,浙江省,,山坡林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00135845.jpg,,,,,,,,,, +,Pedicularis oederi,王战等,1054,19510630,内蒙古自治区,600,草原成片生长,,有花无果,https://image.cvh.ac.cn/files/l/PE/00135844.jpg,,,,,,,,,, +马先蒿属一种,Pedicularis oederi subsp. branchyophylla,,740175,19740525,西藏,4000,阳坡山地,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0147273.jpg,,,,,,,,,, +,Pedicularis oederi var. angustiflora,,s.n.,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01493124.jpg,,,,,,,,,, +,Pedicularis oederi var. angustiflora,,165,19640621,甘肃省,3300~3500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00116048.jpg,,,,,,,,,, +狭花欧氏马先蒿,Pedicularis oederi var. angustiflora,,678,1962/5/25,四川省,3350,,草本,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0095539.jpg,,,,,,,,,, +华马先蒿,Pedicularis oederi var. heteroglossa,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/076073.jpg,,,,,,,,,, +,Pedicularis oederi var. heteroglossa,吴中伦,32637,19580703,四川,4200,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00034937.jpg,,,,,,,,,, +,Pedicularis oederi var. heteroglossa,青藏队,5730,19750619,西藏自治区,4150,山坡灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00116087.jpg,,,,,,,,,, +华马先蒿,Pedicularis oederi var. sinensis,陕西省中草药普查队,340,19700625,陕西省,,林下湿处,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH012743.jpg,,,,,,,,,, +中国欧式马先蒿,Pedicularis oederi var. sinensis,,8200818,19820713,山西,2840,草甸,,有花无果,https://image.cvh.ac.cn/files/l/BJM/0147163.jpg,,,,,,,,,, +华马先蒿 欧氏马先蒿,Pedicularis oederi var. sinensis,关克俭,陈艺林,1603,19590702,山西省,,山顶,草本,有花无果,https://image.cvh.ac.cn/files/l/HSIB/HSIB014089.jpg,,,,,,,,,, +少花马先蒿,Pedicularis oligantha,PE西藏队,PE6638,20170914,西藏自治区,3934,路边山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330808.jpg,,,,,,,,,, +少花马先蒿,Pedicularis oligantha,Delavay,s.n.,,云南省,3000,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00033075.jpg,,,,,,,,,, +缅甸潘氏马先蒿,Pedicularis pantlingii,张英伯,565,19401101,云南省,0~4400,,herb,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0574579.jpg,,,,,,,,,, +,Pedicularis pantlingii,钟补求,5940,19530727,西藏自治区,,溪流旁水湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00116379.jpg,,,,,,,,,, +缅甸潘氏马先蒿,Pedicularis pantlingii,G.Forrest,26885,19250000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574578.jpg,,,,,,,,,, +,Pedicularis pheulpinii subsp. chilienensis,钟补求,8675,19580803,青海省,4240,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00116502.jpg,,,,,,,,,, +,Pedicularis pheulpinii subsp. chilienensis,,1235,19640725,甘肃省,2600,沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/00116499.jpg,,,,,,,,,, +,Pedicularis plicata subsp. apiculata,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",14038,1-Jul-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00284053.jpg,,,,,,,,,, +凸尖皱褶马先蒿,Pedicularis plicata subsp. apiculata,D.E.Boufford etc.,31961,20040810,西藏自治区,4570~4850,in places Stony slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255353.jpg,,,,,,,,,, +远志状马先蒿,Pedicularis polygaloides,成都中医药大学,6913,19780730,四川,3800,草坡上,草本,无花无果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0002870.jpg,,,,,,,,,, +远志状马先蒿,Pedicularis polygaloides,"F.Ludlow,G.Sherriff,&J.H.Hicks",21335,19490723,,,On exposed hill slopes amidst grass & rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/00116395.jpg,,,,,,,,,, +,Pedicularis porriginosa,"F.Ludlow,G.Sherriff",3442,19370713,,4650,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033047.jpg,,,,,,,,,, +,Pedicularis prainiana,,,,,,,,,,,,,,,,,,, +南方普氏马先蒿,Pedicularis przewalskii subsp. australis,J.F.Rock,24224,19320500,云南省 ,0~4117,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574617.jpg,,,,,,,,,, +南方普氏马先蒿,Pedicularis przewalskii subsp. australis,姜恕,9028,19610604,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255333.jpg,,,,,,,,,, +南方普氏马先蒿,Pedicularis przewalskii subsp. australis,陶德定,10853,19760812,西藏自治区,4300~4600,草甸,湿生,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255327.jpg,,,,,,,,,, +矮小普氏马先蒿,Pedicularis przewalskii subsp. microphyton,George Forrest,30063,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00116587.jpg,,,,,,,,,, +矮小普氏马先蒿,Pedicularis przewalskii subsp. microphyton,刘尚武 罗达尚,1350,19700718,青海省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/26205.jpg,,,,,,,,,, +矮小普氏马先蒿,Pedicularis przewalskii subsp. microphyton,吴征缢、陈书坤、杜庆、庐树林,75-843,19750716,西藏自治区,5000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/53868.jpg,,,,,,,,,, +假多色马先蒿,Pedicularis pseudoversicolor,T.T.Yu,9033,19370715,云南省,4000,mt open slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00116619.jpg,,,,,,,,,, +,Pedicularis punctata,"F.Ludlow,G.Sherriff,& G.Taylor",5269,19380716,西藏自治区,4666,On grassy hillside and amongst dwarf Rhododendrons.Labellum twisted through 90度,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122236.jpg,,,,,,,,,, +,Pedicularis punctata,F.Ludlow & G.Sherriff,7815,19400724,,3666,Marshy flats,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122237.jpg,,,,,,,,,, +多枝马先蒿,Pedicularis ramosissima,R.P.Soulie,5283,19040800,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00033011.jpg,,,,,,,,,, +多枝马先蒿,Pedicularis ramosissima,成瑞瑜、蔡竞、秦换换,CRY-AA-17-052,20210531,四川,2021.7m,草坡,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02068656.jpg,,,,,,,,,, +,Pedicularis ramosissima,"徐波,陈光富,陈林杨,董金龙",SunH-07ZX-0865,20080724,西藏自治区,3710,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1383988.jpg,,,,,,,,,, +,Pedicularis regeliana,陈全胜,CF09-4172,20180630,内蒙古自治区,1159,林缘草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02246040.jpg,,,,,,,,,, +,Pedicularis rex,"Bodinier, E.",1594,1897-5-16,,,,,,https://image.cvh.ac.cn/files/l/P/P00248013.jpg,,,,,,,,,, +,Pedicularis rex,青藏队,1808,19810705,云南省,2780,金沙江支流北岸石灰岩山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1243206.jpg,,,,,,,,,, +立氏大王马先蒿,Pedicularis rex,王名金等,2009,19571001,江西省,100,山路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01480864.jpg,,,,,,,,,, +察隅大王马先蒿,Pedicularis rex subsp. zayuensis,青藏队,82-7620,19820625,西藏自治区,3200,山坡Binus林下,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00033003.jpg,,,,,,,,,, +拟鼻花马先蒿,Pedicularis rhinanthoides,杨宗宗,03-203,20030724,新疆省,3400,,,,https://image.cvh.ac.cn/files/l/BNU/0019918.jpg,,,,,,,,,, +大唇拟鼻花马先蒿,Pedicularis rhinanthoides,Dr.Heinr.Frb.v.Handel-Mazzetti,9213,19160703,云南省 ,0~3400,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574791.jpg,,,,,,,,,, +大唇拟鼻花马先蒿,Pedicularis rhinanthoides,T.P.Wang,1833,1933/8/5,陕西省,2700,,erect,有花无果,https://image.cvh.ac.cn/files/l/WUK/0013817.jpg,,,,,,,,,, +拟鼻花马先蒿大唇亚种,Pedicularis rhinanthoides subsp. labellata,孔冬梅,k1399,20180725,山西,2685,亚高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/SXU/00026472.jpg,,,,,,,,,, +大拟鼻花,Pedicularis rhinanthoides subsp. labellata,刘胜利,,19630726,四川省,3300,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00030169.jpg,,,,,,,,,, +大唇拟鼻花马先蒿,Pedicularis rhinanthoides subsp. labellata,T.P.Wang,1833,1933/8/5,陕西省,2700,,erect,有花无果,https://image.cvh.ac.cn/files/l/WUK/0013817.jpg,,,,,,,,,, +,Pedicularis rhinanthoides subsp. tibetica,"蔡杰,刘成,李昌洪",11CS3219,20110816,云南省,3775,高山草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1384085.jpg,,,,,,,,,, +西藏拟鼻花马先蒿,Pedicularis rhinanthoides subsp. tibetica,J.F.Rock,22261,19320500,西藏自治区,0~3965,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574807.jpg,,,,,,,,,, +西藏拟鼻花马先蒿,Pedicularis rhinanthoides subsp. tibetica,宋滋圃,39105,19540000,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00251224.jpg,,,,,,,,,, +,Pedicularis rigidescens,,,,,,,,,,,,,,,,,,, +,Pedicularis robusta,,,,,,,,,,,,,,,,,,, +圆叶马先蒿,Pedicularis rotundifolia,西藏中草药普查队,4476,19720822,西藏自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/82612.jpg,,,,,,,,,, +圆叶马先蒿,Pedicularis rotundifolia,Ward,7216,700,,3380,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032994.jpg,,,,,,,,,, +,Pedicularis roylei,"F.Ludlow,G.Sherriff,& H.H.Elliot",15117,19470603,,4333,growing by side of a stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032993.jpg,,,,,,,,,, +罗氏马先蒿,Pedicularis roylei,刘成;张挺;李昌洪,19CS18065,20190723,四川,4637,高山流石滩草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551266.jpg,,,,,,,,,, +萧氏罗氏马先蒿,Pedicularis roylei,吴玉虎,34775,20050721,青海省,0~4920,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0220632.jpg,,,,,,,,,, +大花罗氏马先蒿,Pedicularis roylei subsp. megalantha,吴玉虎,34767,20050721,青海省,0~4920,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0220432.jpg,,,,,,,,,, +大花罗氏马先蒿,Pedicularis roylei subsp. megalantha,钟补求,5182,19520811,西藏自治区,4820,高山草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032992.jpg,,,,,,,,,, +,Pedicularis roylei subsp. shawii,"Ludlow, Frank: Sherriff, George & Taylor, George",5051,29-Jun-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00284048.jpg,,,,,,,,,, +萧氏罗氏马先蒿,Pedicularis roylei subsp. shawii,生物研究所西藏考察队,1401,19730706,西藏自治区,5000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/85908.jpg,,,,,,,,,, +萧氏罗氏马先蒿,Pedicularis roylei subsp. shawii,俞德俊,22584,19380830,云南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574836.jpg,,,,,,,,,, +罗氏马先蒿短盔变种,Pedicularis roylei var. brevigaleata,王辰,,20060802,四川省,,草甸,,,https://image.cvh.ac.cn/files/l/BNU/0012139.jpg,,,,,,,,,, +,Pedicularis roylei var. brevigaleata,"F.Ludlow,G.Sherriff,& G.Taylor",4602,19380601,西藏自治区,3500~4000,On damp mossy banks and on moss in Picea forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00117680.jpg,,,,,,,,,, +,Pedicularis roylei var. brevigaleata,王启无,68872,19350800,云南省,3700,mt.slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00117649.jpg,,,,,,,,,, +粗野马先蒿,Pedicularis rudis,BNU,LPS212,20120802,宁夏回族自治区,2840,山坡路边,草,,https://image.cvh.ac.cn/files/l/BNU/0012127.jpg,,,,,,,,,, +粗野马先蒿,Pedicularis rudis,马毓泉,236a,19630731,内蒙古自治区,2400,,,无花无果,https://image.cvh.ac.cn/files/l/HIMC/0031755.jpg,,,,,,,,,, +粗野马先蒿,Pedicularis rudis,陈晓澄等,3422,20120816,青海,3643,云杉林下,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019632.jpg,,,,,,,,,, +,Pedicularis schizorrhyncha,,,,,,,,,,,,,,,,,,, +,Pedicularis scullyana,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122244.jpg,,,,,,,,,, +,Pedicularis scullyana,PE西藏队,PE5666,20170902,西藏自治区,4305,草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02330873.jpg,,,,,,,,,, +台氏管花马先蒿,Pedicularis siphonantha,T.T.Yu,7040,19370712,云南省 ,0~3400,,shrub,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574910.jpg,,,,,,,,,, +管花马先蒿,Pedicularis siphonantha,T.N.Ho(HNWP)等,2935,19960907,青海省,0~3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286768.jpg,,,,,,,,,, +管花马先蒿,Pedicularis siphonantha,"苏旭, 刘峰, 吕婷, 马子兰",QTP-LJQ-1432-1079,20190828,青海,4344,山坡湿地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1479274.jpg,,,,,,,,,, +斑唇管花马先蒿,Pedicularis siphonantha var. stictochila,付筱,雷嘉卿,周雨阳,LJQ-A-006-044,20200919,四川,3401.40332,路边,阴生或中生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02061601.jpg,,,,,,,,,, +穗花马先蒿,Pedicularis spicata,李帅等,20167316,20160722,西藏自治区,4566,草甸,草本,,https://image.cvh.ac.cn/files/l/BNU/0030837.jpg,,,,,,,,,, +穗花马先蒿,Pedicularis spicata,河南队,1244,19600718,河南省,2100,,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00236901.jpg,,,,,,,,,, +穗花马先蒿,Pedicularis spicata,黎斌,张莹,陈昊,张瑞博,韩桂军,71066,20070822,陕西省,2400,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/005874.jpg,,,,,,,,,, +,Pedicularis strobilacea,P. J. M. Delavay,3402,1888-8-7,,,,,,https://image.cvh.ac.cn/files/l/NY/00090948.jpg,,,,,,,,,, +球状马先蒿,Pedicularis strobilacea,五组,5008,19840626,北京市,1000,草地,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC037622.jpg,,,,,,,,,, +球状马先蒿,Pedicularis strobilacea,青藏队,7656,19820626,西藏自治区,2800,山坡云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00122604.jpg,,,,,,,,,, +,Pedicularis sunkosiana,,,,,,,,,,,,,,,,,,, +网脉四川马先蒿,Pedicularis szetschuanica subsp. anastomosans,谢传认,78,19800613,四川省,3585,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00247844.jpg,,,,,,,,,, +网脉四川马先蒿,Pedicularis szetschuanica subsp. anastomosans,"F.Ludlow,G.Sherriff & H.H.Elliot",15655,19470828,西藏自治区,4833,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032956.jpg,,,,,,,,,, +颤喙马先蒿,Pedicularis tantalorhyncha,Joseph F.Rock,25092,19320500,云南省 ,4333,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00236691.jpg,,,,,,,,,, +,Pedicularis tantalorhyncha,J. M. Delavay,,1887-6-27,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00097288.jpg,,,,,,,,,, +颤喙马先蒿,Pedicularis tantalorhyncha,尹志坚,董洪进,向春雷,1312,20090715,云南,3800,"roadsides, grassy slope",草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512075.jpg,,,,,,,,,, +纤茎马先蒿,Pedicularis tenuicaulis,沈文明,NJWLS0731,20141026,云南省,2240,针阔混交林,,,https://image.cvh.ac.cn/files/l/KUN/1288286.jpg,,,,,,,,,, +,Pedicularis tenuicaulis,高信芬、涂卫国、何海、乔永康,6982,20030904,西藏自治区,1700,路边空旷地,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0190814.jpg,,,,,,,,,, +,Pedicularis ternata,"何兴金,廖晨阳,任海燕,袁书杰",SCU-09-404,20090821,四川省,4020,路边草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1384225.jpg,,,,,,,,,, +三叶马先蒿,Pedicularis ternata,王作宾,15699,19520708,陕西省,0~2500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0574996.jpg,,,,,,,,,, +三叶马先蒿,Pedicularis ternata,N.M.Przewalski,s.n.,18730628,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032940.jpg,,,,,,,,,, +毛盔马先蒿,Pedicularis trichoglossa,C.W.Wang,64944,19350800,云南省 ,3000,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00100105.jpg,,,,,,,,,, +毛盔马先蒿,Pedicularis trichoglossa,刘尚武,436,1965/8/18,青海,4100,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0261139.jpg,,,,,,,,,, +毛盔马先蒿,Pedicularis trichoglossa,T.N.Ho(HNWP)等,2037,19960818,青海省,0~3700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286554.jpg,,,,,,,,,, +,Pedicularis verbenifolia,胡君、王东超、李丽、唐露,SC-a-059-B21,20180728,贵州,2392,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262436.jpg,,,,,,,,,, +,Pedicularis verbenifolia,"Forrest, George",6984,10-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00438453.jpg,,,,,,,,,, +马鞭草叶马先蒿,Pedicularis verbenifolia,,,19630000,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075726.jpg,,,,,,,,,, +轮叶马先蒿,Pedicularis verticillata,Liou & Tsoong,2711,1938/7/24,陕西,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0422685.jpg,,,,,,,,,, +轮叶马先蒿,Pedicularis verticillata,威宁队,522427140608143LY,20140608,贵州省,,野生植物、中生、阳性、中温、酸性土、草丛,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0046339.jpg,,,,,,,,,, +轮叶马先蒿,Pedicularis verticillata,Eaton; McKenzie; Meek; Jin,DE695,20190718,青海,4026,Wet meadow around mountain lake.,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1556159.jpg,,,,,,,,,, +维氏马先蒿,Pedicularis vialii,俞德俊,7538,,云南省 ,0~2800,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0575081.jpg,,,,,,,,,, +,Pedicularis vialii,P. J. M. Delavay,3378,,,,,,,https://image.cvh.ac.cn/files/l/NY/00090956.jpg,,,,,,,,,, +维氏马先蒿,Pedicularis vialii,,5123,19510720,山西,,,,无花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092889.jpg,,,,,,,,,, +瓦氏马先蒿,Pedicularis wallichii,,505,19590625,西藏自治区,4300,大岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00123403.jpg,,,,,,,,,, +瓦氏马先蒿,Pedicularis wallichii,Churchill,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01493227.jpg,,,,,,,,,, +,Pedicularis yarilaica,,,,,,,,,,,,,,,,,,, +毛苇谷草,Pentanema vestitum,J.F.Duthie.,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0606943.jpg,,,,,,,,,, +,Pentapanax caesius,生物所,4513,1974-06-,四川省,2400,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0071928.jpg,,,,,,,,,, +,Pentapanax caesius,刘慎谔,21850,1946-12-,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0071930.jpg,,,,,,,,,, +,Pentapanax fragrans var. fragrans,,,,,,,,,,,,,,,,,,, +黄山锈毛五叶参,Pentapanax henryi,M.Chen,,19331003,安徽,,,,无花有果,https://image.cvh.ac.cn/files/l/NF/NF2014905.jpg,,,,,,,,,, +,Pentapanax henryi,刘芙蓉、杜阳平、梁正川、李亦可,JZG0563,20180928,四川,1749.3,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0270845.jpg,,,,,,,,,, +锈毛羽叶参,Pentapanax henryi,临桂普查队,450322130802022LY,20130802,广西壮族自治区,1313,林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0132716.jpg,,,,,,,,,, +五叶参,Pentapanax leschenaultii var. leschenaultii,木本油料调查组,399,19650711,云南省,2800,阔叶林缘,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0448786.jpg,,,,,,,,,, +,Pentapanax leschenaultii var. umbellatus,"李渤生,李辉,阳艺",13508,19900905,西藏自治区,2800~3100,乔松林中时见,,无花有果,https://image.cvh.ac.cn/files/l/PE/01364862.jpg,,,,,,,,,, +五叶参属,Pentapanax leschenaultii var. umbellatus,倪志诚 次多 次旦 廖世荣,2186,19810913,西藏,2750,杂木林之中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0004919.jpg,,,,,,,,,, +毛背叶五叶参,Pentapanax leschenaultii var. villosus,青藏补点组,750178,19750603,西藏自治区,2750,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/50813.jpg,,,,,,,,,, +毛梗寄生五叶参,Pentapanax parasiticus var. khasianus,P.I.Mao,232,19501015,云南省,2400,in thickets,,无花无果,https://image.cvh.ac.cn/files/l/PE/00942487.jpg,,,,,,,,,, +,Pentapanax parasiticus var. parasiticus,,,,,,,,,,,,,,,,,,, +总序五叶参,Pentapanax racemosus,中苏队,1565,19560517,云南省,,阳处路旁开荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00942500.jpg,,,,,,,,,, +总序五叶参,Pentapanax racemosus,Sino-Amer. Bot. Exped.(1984),589,19840630,云南,2500~2600,Broad-leaved evergreen forest fagaceous forest.,tree,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00431089.jpg,,,,,,,,,, +总序五叶参,Pentapanax racemosus,青藏队补点组,751736,19750828,西藏自治区,2600,林缘,,无花无果,https://image.cvh.ac.cn/files/l/PE/00942499.jpg,,,,,,,,,, +,Pentapanax wilsonii,刘慎谔,22108,1946-12-,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0071957.jpg,,,,,,,,,, +,Pentapanax wilsonii,胡君、李丽、罗垚、蒋洪,SC-a-164-B36,,四川,2928,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261017.jpg,,,,,,,,,, +西南羽叶参,Pentapanax wilsonii,高云东,邓亨宁,黎怀成,THP-KD-4697,20170809,四川省,2700~2800,宋玉村后沟,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251652.jpg,,,,,,,,,, +石萝藦,Pentasachme caudatum,TSANG、W.T,28998,,,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00231211.jpg,,,,,,,,,, +石萝藦,Pentasachme caudatum,DNA Bar Coding野外采集组,FSB-2005,20130310,广东省,365,石上、水沟边,,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00038789.jpg,,,,,,,,,, +石萝藦,Pentasachme caudatum,罗城县普查队,451225130807001LY,20130807,广西,324,阔叶林,沟边,林下,黄棕壤,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0114720.jpg,,,,,,,,,, +,Pentasachme wallichii,,,,,,,,,,,,,,,,,,, +袋果草,Peracarpa carnosa,李思峰、黎斌、张莹、周亚福、胡浩,16728,20120509,湖北省,1600~750,山坡路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/007847.jpg,,,,,,,,,, +袋果草,Peracarpa carnosa,邢吉庆,5842,1959/6/7,陕西,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0126364.jpg,,,,,,,,,, +袋果草,Peracarpa carnosa,A.Henry,9449,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0525877.jpg,,,,,,,,,, +野生紫苏,Perilla frutescens,"彭华, 向春雷, 陈丽",PengH5652,20071224,云南,1800,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444759.jpg,,,,,,,,,, +紫苏,Perilla frutescens,吴玉虎,23796,20030627,青海省,2370,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/189249.jpg,,,,,,,,,, +野生紫苏,Perilla frutescens,蔡秀珍,李俊,曹周红,王婷,陈灵灵,CXZ871,20211017,河南,584,山坡,密林,林下,路边野生,半灌木,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0223861.jpg,,,,,,,,,, +野生紫苏,Perilla frutescens var. purpurascens,贺贤育,20195,1956/9/12,浙江省,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0179122.jpg,,,,,,,,,, +野紫苏,Perilla frutescens var. purpurascens,曾宪锋,ZXF41958,20181031,广东,726,山谷灌丛,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0037223.jpg,,,,,,,,,, +野生紫苏,Perilla frutescens var. purpurascens,"彭华, 向春雷, 陈丽",PengH5652,20071224,云南,1800,无,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444759.jpg,,,,,,,,,, +青蛇藤,Periploca calophylla,王文采,3104,19601021,河北省,,,灌木藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00209531.jpg,,,,,,,,,, +凸尖叶青蛇藤,Periploca calophylla,李渤生,程树志/B.S.Li & S.C.Cheng,1835,19821114,西藏自治区,2100,常绿林中,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029528.jpg,,,,,,,,,, +,Periploca calophylla,"赖茂祥,王振刚,方鼎",25402,19820618,广西壮族自治区,1200,,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI029416.jpg,,,,,,,,,, +凸尖叶青蛇藤,Periploca calophylla var. mucronata,李渤生,程树志/B.S.Li & S.C.Cheng,1835,19821114,西藏自治区,2100,常绿林中,藤本,有花无果,https://image.cvh.ac.cn/files/l/PE/00029528.jpg,,,,,,,,,, +黑龙骨,Periploca forrestii,杨平、农时越、农素芸等,BL875,20200813,广西,~742,石灰岩石山;少见,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00428924.jpg,,,,,,,,,, +黑龙骨,Periploca forrestii,李策宏,755,19990331,四川省,1050,灌丛上,藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00627816.jpg,,,,,,,,,, +黑龙骨,Periploca forrestii,刘心祈,28596,19370712,广东省,,,藤本缠绕,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00209624.jpg,,,,,,,,,, +杠柳,Periploca sepium,张乐祖,76,19510620,江苏,13600,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00209703.jpg,,,,,,,,,, +杠柳,Periploca sepium,吉首大学生物资源与环境科学学院,GWJ20180712_0232,20180712,湖南,402,山坡,沟边,灌木,有孢子囊,https://image.cvh.ac.cn/files/l/JIU/JIU55603.jpg,,,,,,,,,, +杠柳,Periploca sepium,西师大生物系,19860613001,19860613,四川,,林缘,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0004387.jpg,,,,,,,,,, +观音草,Peristrophe bivalvis,长洲区普查队,450405191130021LY,20191130,广西,~93,灌丛,路旁,红壤;少;野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00430827.jpg,,,,,,,,,, +观音草,Peristrophe bivalvis,C.Y.Chiao,1823,19280731,江西省,0~3000,,,有花有果,https://image.cvh.ac.cn/files/l/N/265150067.jpg,,,,,,,,,, +,Peristrophe bivalvis,刘恩德等,2374,20100329,云南省 ,987,"Roadside, under cliff",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1217482.jpg,,,,,,,,,, +野山蓝,Peristrophe fera,荔波队,2351,19510816,贵州省,1100,山顶阴处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/736551.jpg,,,,,,,,,, +野山蓝,Peristrophe fera,王启无,86677,19400203,云南省,1000,open grassy slope,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0025500.jpg,,,,,,,,,, +野山蓝,Peristrophe fera,刘心祈,27603,19360803,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00055891.jpg,,,,,,,,,, +九头狮子草,Peristrophe japonica,杨平、农时越、农素芸等,BL1197,20201101,广西,~754,石灰岩石山;少见,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00429165.jpg,,,,,,,,,, +九头狮子草,Peristrophe japonica,唐昌林,1745,1967/8/31,甘肃,700,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0280902.jpg,,,,,,,,,, +九头狮子草,Peristrophe japonica,唐昌林,1745,19670831,甘肃省,700,峡谷疏林下近水旁,直立草本,,https://image.cvh.ac.cn/files/l/IBK/IBK00243714.jpg,,,,,,,,,, +,Peristrophe speciosa,J.M.Cowan,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0560304.jpg,,,,,,,,,, +,Persicaria amphibia,Loy R.Phillippe et al.,38189,20050922,,174,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01504874.jpg,,,,,,,,,, +两楼蓼,Persicaria amphibia,白城组,133,19590810,吉林,,水泡子,,无花有果,https://image.cvh.ac.cn/files/l/JLSLKY/JLSLKY02655.jpg,,,,,,,,,, +,Persicaria barbata,"J.Kemp,Jensen R.",JEK17815,20120605,,,on alluvial plain,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892530.jpg,,,,,,,,,, +,Persicaria barbata,"H.Ohashi,Y.Tateishi",13865,19821030,台湾省,400,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0152220.jpg,,,,,,,,,, +,Persicaria capitata,李洪钧,6499,19580920,湖北省,310,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0081187.jpg,,,,,,,,,, +,Persicaria capitata,张相宜、成瑞瑜、郭泳棂,SC-Z-00-07-032,20200917,四川,3491,高山草甸,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02061656.jpg,,,,,,,,,, +,Persicaria capitata,广西队,2406,19530531,广西壮族自治区,,山谷岩石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985890.jpg,,,,,,,,,, +,Persicaria chinensis,,12204,,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0081243.jpg,,,,,,,,,, +,Persicaria chinensis,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180371,20181025,Mon State,,,Herb,有花无果,https://image.cvh.ac.cn/files/l/KUN/1498452.jpg,,,,,,,,,, +,Persicaria chinensis,褚晓芳,顾子霞,董晓宇,CG094,20121018,江苏省,10,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00591159.jpg,,,,,,,,,, +,Persicaria chinensis var. ovalifolia,N.Naruhashi et al.,8820245,19880708,,,climbing in forest,,无花无果,https://image.cvh.ac.cn/files/l/PE/01892524.jpg,,,,,,,,,, +,Persicaria chinensis var. paradoxa,"税玉良,陈文红等",64096,20060730,云南省,2150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859391.jpg,,,,,,,,,, +,Persicaria decipiens,P.Bissiengou et al.,309,20091019,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02022218.jpg,,,,,,,,,, +,Persicaria filiformis,Takashi Hoshino,229,19921007,,100,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0152231.jpg,,,,,,,,,, +香茶菜 铁拳头,Persicaria filiformis,杨祥学、王素珍等,17075,19640920,江西,400m,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0006155.jpg,,,,,,,,,, +,Persicaria glabra,S.Saito,8624,19270509,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01446896.jpg,,,,,,,,,, +,Persicaria glacialis,肖崇礼,738,19580920,陕西省,4200,川地田边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00385376.jpg,,,,,,,,,, +,Persicaria glacialis,青藏队,4961,19810818,四川省,4100,河滩 草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01063054.jpg,,,,,,,,,, +冰川蓼,Persicaria glacialis,刘全儒,20200924022,20200924,青海,3800,高寒草甸,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0054012.jpg,,,,,,,,,, +,Persicaria greuteriana,,,,,,,,,,,,,,,,,,, +,Persicaria hastatosagittata,,,,,,,,,,,,,,,,,,, +,Persicaria humilis,,,,,,,,,,,,,,,,,,, +水蓼,Persicaria hydropiper,李晓东,张紫刚,操榆,江红生,LiJ635,20100913,云南,3220,河滩,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0190558.jpg,,,,,,,,,, +药蓼子草,Persicaria hydropiper,"H.Ohashi,Y.Tateishi",30079,19921107,台湾省,250,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0152234.jpg,,,,,,,,,, +,Persicaria hydropiper,E.J.Thompson,EJT590,20110526,,,Low woodland of Melaleuca linariifolia on river bed.,,有花无果,https://image.cvh.ac.cn/files/l/PE/02096724.jpg,,,,,,,,,, +,Persicaria japonica,Taku Miyazaki,310124,20031007,,0~2,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900614.jpg,,,,,,,,,, +,Persicaria japonica,熊豫宁,7067,20131105,江苏省,,水塘边,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00590740.jpg,,,,,,,,,, +,Persicaria japonica,K. Hisauti,,1919/8/8,Hondo: prov. Musasi,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00063256.jpg,,,,,,,,,, +,Persicaria jucunda,"熊豫宁,董晓宇,马振秀",6918,20131014,江苏省,,村旁路边,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00590745.jpg,,,,,,,,,, +,Persicaria kawagoeana,,,19870921,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898239.jpg,,,,,,,,,, +,Persicaria kawagoeana,S.Saito,8489,19280609,台湾省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0122941.jpg,,,,,,,,,, +,Persicaria lapathifolia,熊豫宁,董晓宇,马振秀,6869,20131013,江苏省,,湖边,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00590704.jpg,,,,,,,,,, +水红子,Persicaria lapathifolia,K. Hisauti,,1929-10-,Hondo: Yokohama,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00063255.jpg,,,,,,,,,, +酸模叶蓼,Persicaria lapathifolia,延边一组,508,19590829,吉林,,路旁,,无花有果,https://image.cvh.ac.cn/files/l/JLSLKY/JLSLKY02682.jpg,,,,,,,,,, +,Persicaria lapathifolia var. lanata,,,,,,,,,,,,,,,,,,, +,Persicaria longiseta,K.Kondo,8738,19281103,台湾省 ,100,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0122943.jpg,,,,,,,,,, +,Persicaria longiseta,"Y.Tateishi,J.Murata",17412,19840810,台湾省,280,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0152241.jpg,,,,,,,,,, +,Persicaria longiseta,M. Matsumoto et al. (松本満夫 他5名),FOK-057578,20030719,高知县,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0115905.jpg,,,,,,,,,, +,Persicaria longiseta var. rotundata,,,,,,,,,,,,,,,,,,, +,Persicaria microcephala,税玉民等,70609,20060806,云南省,1903,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01842672.jpg,,,,,,,,,, +,Persicaria microcephala,青藏队,6676,19750630,西藏自治区,2100~2700,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00425406.jpg,,,,,,,,,, +,Persicaria microcephala,H.Kanai etc.,721667,19720820,,1600,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264352.jpg,,,,,,,,,, +,Persicaria microcephala var. sphaerocephala,税玉民等,70609,20060806,云南省,1903,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01842672.jpg,,,,,,,,,, +小蓼,Persicaria minor,吕惠珍、林杨、莫连兰、班宝珍,451023150323012LY,20150323,广西,,草丛,果园,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0187968.jpg,,,,,,,,,, +,Persicaria muricata,S.Saito,3266,19271015,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01569629.jpg,,,,,,,,,, +,Persicaria muricata,周义峰,董晓宇,熊豫宁,王翔,20191101,20190915,浙江,69,山路边,草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00633793.jpg,,,,,,,,,, +,Persicaria muricata,广西队,1258,19530613,广西壮族自治区,,水旁山谷路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985896.jpg,,,,,,,,,, +,Persicaria nepalensis,广西队,4151,19530608,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985884.jpg,,,,,,,,,, +尼泊尔蓼,Persicaria nepalensis,刘浪,LL2019042,20190705,浙江,,路边防火带,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0055193.jpg,,,,,,,,,, +,Persicaria nepalensis,温带森林组,487,19620821,吉林省,900,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607732.jpg,,,,,,,,,, +,Persicaria orientalis,J.Kemp,JEK17858,20120608,,,open water in swamp fringed by zoned herbland,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109011.jpg,,,,,,,,,, +,Persicaria orientalis,S.Saito,8495,19270511,台湾省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01446885.jpg,,,,,,,,,, +,Persicaria orientalis,S.Saito,8593,19280517,台湾,,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0194934.jpg,,,,,,,,,, +,Persicaria palmata,,1223,19741007,湖南省,,丘陵 水边 湿土,,有花无果,https://image.cvh.ac.cn/files/l/PE/00475389.jpg,,,,,,,,,, +,Persicaria palmata,王启无,79687,19361000,云南省,840,mixed forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/00475372.jpg,,,,,,,,,, +,Persicaria perfoliata,华东工作站,4522,19510930,安徽省,,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00475490.jpg,,,,,,,,,, +,Persicaria perfoliata,,852,,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00475478.jpg,,,,,,,,,, +酸藤,Persicaria perfoliata,熊豫宁等,1539,20110423,江苏省,,路边草丛,攀援草质藤本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00568561.jpg,,,,,,,,,, +,Persicaria posumbu,周义峰,董晓宇,熊豫宁,王翔,20191103,20190915,浙江,74,山路边,草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00633791.jpg,,,,,,,,,, +,Persicaria posumbu,Y.Momiyama,8093,19561000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01816721.jpg,,,,,,,,,, +,Persicaria posumbu,K.Kondo,7549,19281108,台湾省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0122947.jpg,,,,,,,,,, +,Persicaria praetermissa,T.Miyazaki,9805185,19980526,,20~60,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01899492.jpg,,,,,,,,,, +疏蓼,Persicaria praetermissa,H. Sada et al. (佐田博子 他3名),FOK-061480,20031005,高知县,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0115832.jpg,,,,,,,,,, +,Persicaria pubescens,Taku Miyazaki,810124,20081010,,220~260,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078994.jpg,,,,,,,,,, +,Persicaria pubescens,汪庆,等,10015,201609,江苏,,路边湿地草丛,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00633877.jpg,,,,,,,,,, +,Persicaria pubescens,H.Ohashi & Y.Endo,20688,19841015,台湾省,200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0152244.jpg,,,,,,,,,, +,Persicaria runcinata,S.Saito,8287,19280529,台湾省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0122948.jpg,,,,,,,,,, +,Persicaria runcinata,广西队,4177,19530608,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985895.jpg,,,,,,,,,, +,Persicaria runcinata,S.Noshiro etc.,9730424,19970901,,3230,on shady places,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1261026.jpg,,,,,,,,,, +,Persicaria runcinata var. sinensis,杨光辉,58922,19580720,重庆市,2200,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00475116.jpg,,,,,,,,,, +,Persicaria sagittata var. sieboldii,,,,,,,,,,,,,,,,,,, +,Persicaria sinuata,,,,,,,,,,,,,,,,,,, +,Persicaria strigosa,广西队,2427,19530602,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01985897.jpg,,,,,,,,,, +,Persicaria strigosa,"J.Kemp,Burchill,S.",JEK18006,20120614,,,in swampy alluvial/basaltic plain,,有花无果,https://image.cvh.ac.cn/files/l/PE/01892529.jpg,,,,,,,,,, +水湿蓼,Persicaria strigosa,修水县植调队,8110201,19811012,江西,,,草本,无花无果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0009056.jpg,,,,,,,,,, +,Persicaria strindbergii,"张永田,郞楷永",3444,19660508,西藏自治区,2650,山坡 铁杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00443842.jpg,,,,,,,,,, +,Persicaria strindbergii,"税玉良,陈文红等",70257,20060309,云南省,1600~1700,河边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859308.jpg,,,,,,,,,, +,Persicaria taquetii,K.Inami,CBM71505,19631015,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01459814.jpg,,,,,,,,,, +野甸,Persicaria thunbergii,T. Sulo,911,1932-10-,"nippon, Honsyu, prov",,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00063245.jpg,,,,,,,,,, +,Persicaria thunbergii,Sheng-you Lu,,19831121,台湾省,2150,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898238.jpg,,,,,,,,,, +戟叶蓼,Persicaria thunbergii,延边一组,438,19590825,吉林,,针阔混交林下,,有花有果,https://image.cvh.ac.cn/files/l/JLSLKY/JLSLKY02725.jpg,,,,,,,,,, +,Persicaria virginiana,广西队,949,19530529,广西壮族自治区,,山顶,,有花无果,https://image.cvh.ac.cn/files/l/PE/01985894.jpg,,,,,,,,,, +两色帚菊,Pertya discolor,潘友文,199,19920707,河北省,2350,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/732467.jpg,,,,,,,,,, +同色帚菊,Pertya discolor,T.P.Wang,7232,19370717,甘肃省,3200,on dry slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00606993.jpg,,,,,,,,,, +两色帚菊,Pertya discolor,四川植被队,10099,1975-6 2,四川省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0148160.jpg,,,,,,,,,, +,Pertya markamensis,,,,,,,,,,,,,,,,,,, +,Pertya phylicoides,胡君、王东超、李丽、唐露,SC-a-070-B05,20180806,云南,3258,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260842.jpg,,,,,,,,,, +针叶帚菊,Pertya phylicoides,胡君,王东超,李丽,李奥奥,曾思源,黄欣,SC-a-022-B02,20160807,四川,3061,,落叶灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610206.jpg,,,,,,,,,, +针叶帚菊,Pertya phylicoides,王启无,70337,19350900,云南省,2700,Open slope,herbs,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00630379.jpg,,,,,,,,,, +单花帚菊,Pertya uniflora,周立华 孙立南,583,19700603,青海省,2200,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/21859.jpg,,,,,,,,,, +单花帚菊,Pertya uniflora,洮河队,3639,19570629,甘肃,2950,山坡阴处,灌木直立,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00504988.jpg,,,,,,,,,, +单花帚菊,Pertya uniflora,陈实,2342,1964/8/21,青海,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0296992.jpg,,,,,,,,,, +蜂斗菜,Petasites japonicus,Y.Y.Ho,858,19320416,浙江省 ,,"at stream side,in wet herb",herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00496050.jpg,,,,,,,,,, +蜂斗菜,Petasites japonicus,张代贵,zdg4252,20120315,湖北省,2304.63,山坡林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU05180.jpg,,,,,,,,,, +蜂斗菜,Petasites japonicus,,5031,,江西,,,,有花无果,https://image.cvh.ac.cn/files/l/JXU/JXU0022027.jpg,,,,,,,,,, +毛裂蜂斗菜,Petasites tricholobus,钱家驹,511,1957/7/31,吉林,2300,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0235557.jpg,,,,,,,,,, +毛裂蜂斗菜,Petasites tricholobus,海仙、方震东、刘琳、马宗灵,FW2009-168,20090405,云南省,2519,青冈、云南铁杉、油麦吊云杉,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001624.jpg,,,,,,,,,, +,Petasites tricholobus,"Maire, Edouard-Ernest",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00394969.jpg,,,,,,,,,, +盐源蜂斗菜,Petasites versipilus,S.S.Sin,20197,19300418,湖南省,1000,山麓,,有花无果,https://image.cvh.ac.cn/files/l/PE/01711089.jpg,,,,,,,,,, +盐源蜂斗菜,Petasites versipilus,钟补勤,347,19280326,贵州省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01711063.jpg,,,,,,,,,, +盐源蜂斗菜,Petasites versipilus,刘博,LBSC3,20190517,四川,2264,垭口坡上,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1502502.jpg,,,,,,,,,, +,Peucedanum angelicoides,"张挺,亚吉东,张桥蓉,李春晓,张继,李明勤,王关友,王祖繁",11CS3569,20110922,云南省,3137,草坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336815.jpg,,,,,,,,,, +芷叶前胡,Peucedanum angelicoides,熊厚溪,522401140912013 LY,20140912,贵州省,1689,,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0037121.jpg,,,,,,,,,, +芷叶前胡,Peucedanum angelicoides,,,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00031452.jpg,,,,,,,,,, +,Peucedanum delavayi,"Delavay, J.M.",945,1884-8-31,,,,,,https://image.cvh.ac.cn/files/l/P/P02272004.jpg,,,,,,,,,, +滇西前胡,Peucedanum delavayi,C.W.Wang,66244,19350900,西藏自治区,3400,Mountain slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00756974.jpg,,,,,,,,,, +镰叶前胡,Peucedanum falcaria,H. B. G,1510,19930821,青海省,3440,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/172774.jpg,,,,,,,,,, +镰叶前胡,Peucedanum falcaria,周太炎,等,651440,19650824,新疆维吾尔自治区,1900,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00026227.jpg,,,,,,,,,, +镰叶前胡,Peucedanum falcaria,B.Schishkin,3452,19370803,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01631961.jpg,,,,,,,,,, +异叶前胡,Peucedanum franchetii,王年鹤 张成宁,92027,19920904,云南省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00043749.jpg,,,,,,,,,, +异叶前胡,Peucedanum franchetii,溥发鼎、曹亚玲等,161,Oct-83,四川省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093886.jpg,,,,,,,,,, +细裂前胡,Peucedanum macilentum,腾冲普查队,530522150712876LY,20150712,云南省,1799,栽培植被,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0030686.jpg,,,,,,,,,, +,Peucedanum macilentum,P. J. M. Delavay,2476,1886-8-18,,2800,,,,https://image.cvh.ac.cn/files/l/NY/00406175.jpg,,,,,,,,,, +细裂前胡,Peucedanum macilentum,"张永田,郞楷永",813,19850721,西藏自治区,2100,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00757125.jpg,,,,,,,,,, +,Peucedanum nanum,"李晖,文雪梅,次旺加布,李发平",Lihui-Q-0078,20080901,西藏自治区,4546,亚热带高山草原阶地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1336859.jpg,,,,,,,,,, +矮前胡,Peucedanum nanum,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201749,20200815,西藏,3747,荒坡上,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1508955.jpg,,,,,,,,,, +红前胡,Peucedanum rubricaule,,,19900915,云南省 ,3300,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00044347.jpg,,,,,,,,,, +红前胡,Peucedanum rubricaule,杨亚滨,7062,19780626,四川省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00031531.jpg,,,,,,,,,, +红前胡,Peucedanum rubricaule,陈俊华,597,,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM715004606.jpg,,,,,,,,,, +松潘前胡,Peucedanum songpanense,溥发鼎等,56,Oct-83,四川省,2800,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172290.jpg,,,,,,,,,, +长前胡,Peucedanum turgeniifolium,K.T.Fu,3712,19420324,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00027973.jpg,,,,,,,,,, +长前胡,Peucedanum turgeniifolium,李洪钧,412,19570804,湖北省,0,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0463920.jpg,,,,,,,,,, +长前胡,Peucedanum turgeniifolium,三台组,320,,四川,,药园,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM715006257.jpg,,,,,,,,,, +,Peucedanum violaceum,"张大才,李双智,罗康,梁群",ZhangDC-07zx-1208,20080730,西藏自治区,4130,针叶林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1336856.jpg,,,,,,,,,, +紫茎前胡,Peucedanum violaceum,魏来、何毅,BNUXZ2016388,20160724,西藏,3750,林下,,,https://image.cvh.ac.cn/files/l/BNU/0028102.jpg,,,,,,,,,, +扁序重寄生,Phacellaria compressa,张清其,475,,福建省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0382684.jpg,,,,,,,,,, +扁序重寄生,Phacellaria compressa,F.T.Wang,21911,19300729,四川省,1800,on tree,,有花无果,https://image.cvh.ac.cn/files/l/PE/00890457.jpg,,,,,,,,,, +扁序重寄生,Phacellaria compressa,陈伟烈,15063,19800912,西藏自治区,1100,林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491320.jpg,,,,,,,,,, +棉毛菊,Phagnalon niveum,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0607035.jpg,,,,,,,,,, +肾苞草,Phaulopsis dorsiflora,肖斯悦,赵字陈,乔耀梅,龚燕雄,KIBGX021B06,20181230,云南,1173,热带常绿阔叶林坡地,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1488639.jpg,,,,,,,,,, +,Phaulopsis dorsiflora,刘寿养,1984,19830528,广西壮族自治区,,水旁,山谷,阴处,阳处,普遍。,亚灌木,,https://image.cvh.ac.cn/files/l/IBK/IBK00339167.jpg,,,,,,,,,, +,Phaulopsis dorsiflora,陶国达,13266,19741107,云南省,300,林下潮湿,草本,,https://image.cvh.ac.cn/files/l/HITBC/0025533.jpg,,,,,,,,,, +,Phialacanthus griffithii,,,,,,,,,,,,,,,,,,, +云南山梅花,Philadelphus delavayi,PE-Xizang Expedition,PE6216,20170910,西藏,2488~3042,山坡林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/02309494.jpg,,,,,,,,,, +老叶山梅花,Philadelphus delavayi,,,19520000,湖北,,,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00019967.jpg,,,,,,,,,, +云南山梅花,Philadelphus delavayi,北京所横断山队,3386,19810821,云南省,3100~3400,高山栎林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01494755.jpg,,,,,,,,,, +毛枝山梅花,Philadelphus delavayi var. trichocladus,青藏队,10299,19820909,西藏自治区,3200,"山坡,Abies林缘",,无花有果,https://image.cvh.ac.cn/files/l/PE/00864663.jpg,,,,,,,,,, +毛枝山梅花,Philadelphus delavayi var. trichocladus,T.T.Yu,9438,19370603,云南省,3300,Among thickets,,有花无果,https://image.cvh.ac.cn/files/l/PE/00864660.jpg,,,,,,,,,, +毛枝山梅花,Philadelphus delavayi var. trichocladus,T.T.Yu,8264,19370525,云南省 ,2600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0302006.jpg,,,,,,,,,, +疏花山梅花,Philadelphus laxiflorus,,s.n.,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00812702.jpg,,,,,,,,,, +,Philadelphus laxiflorus,徐福昌等,371,19580816,青海省,0,,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0582790.jpg,,,,,,,,,, +疏花山梅花,Philadelphus laxiflorus,李攀,LP0806147,20080601,安徽省,500,溪沟边路旁,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0073286.jpg,,,,,,,,,, +绒毛山梅花,Philadelphus tomentosus,无,3703,,广东省,0,,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0583229.jpg,,,,,,,,,, +绒毛山梅花,Philadelphus tomentosus,,8146,19280503,,2000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0302508.jpg,,,,,,,,,, +,Philadelphus tomentosus,许炳强,吴兴,李婧,田恩伟,XiaNH-07zx-0110,20091026,云南,2154,河谷杂木林,灌木,,https://image.cvh.ac.cn/files/l/KUN/1237872.jpg,,,,,,,,,, +火焰花,Phlogacanthus curviflorus,C.W.Wang,76135,19360700,云南省 ,1300,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00244991.jpg,,,,,,,,,, +火焰花,Phlogacanthus curviflorus,周仕顺,15057,20180203,云南,586,林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0031021.jpg,,,,,,,,,, +火焰花,Phlogacanthus curviflorus,李瑞锋、孟德昌、杨自猛,412,20200402,广西,~15,栽培,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00437035.jpg,,,,,,,,,, +,Phlogacanthus gomezii,,,,,,,,,,,,,,,,,,, +,Phlogacanthus gracilis,,,,,,,,,,,,,,,,,,, +,Phlogacanthus guttatus,,,,,,,,,,,,,,,,,,, +,Phlogacanthus parviflorus,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0560480.jpg,,,,,,,,,, +,Phlogacanthus thyrsiformis,,,,,,,,,,,,,,,,,,, +,Phlogacanthus tubiflorus,"A.Rodger, Esp, I.F.S",656,,,3500,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00244987.jpg,,,,,,,,,, +糙叶火焰,Phlogacanthus vitellinus,中越考察队,59,0,宁平,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/428038.jpg,,,,,,,,,, +糙叶火焰,Phlogacanthus vitellinus,中越考察队,618,19651219,新安,150~100,沟谷林下阴湿,,有花无果,https://image.cvh.ac.cn/files/l/KUN/428021.jpg,,,,,,,,,, +糙叶火焰花,Phlogacanthus vitellinus,,6729,19620425,,,,,有花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI041903.jpg,,,,,,,,,, +,Phlogacanthus yangtsekiangensis,,,,,,,,,,,,,,,,,,, +聂拉木糙苏,Phlomis nyalamensis,张挺,李爱花等,08CS783,20080918,西藏,3927,流石滩,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1389441.jpg,,,,,,,,,, +,Phlomoides congesta,,,,,,,,,,,,,,,,,,, +,Phlomoides hamosa,,,,,,,,,,,,,,,,,,, +,Phlomoides longiaristata,,,,,,,,,,,,,,,,,,, +,Phlomoides macrophylla,,,,,,,,,,,,,,,,,,, +,Phlomoides rotata,,,,,,,,,,,,,,,,,,, +,Phlomoides tibetica var. wardii,,,,,,,,,,,,,,,,,,, +块根糙苏,Phlomoides tuberosa,王良信、王幼青,780710001,19780710,黑龙江,,山沟,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0004530.jpg,,,,,,,,,, +,Phlomoides umbrosa var. australis,,,,,,,,,,,,,,,,,,, +,Phlomoides younghushandii,,,,,,,,,,,,,,,,,,, +,Phlox drummondii,S.Y.Hu & K.M.Yung,351,20010319,香港,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01300985.jpg,,,,,,,,,, +小天蓝绣球,Phlox drummondii,,,19210521,江苏省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0558106.jpg,,,,,,,,,, +,Phlox drummondii,T.H.Wang ,183,19390505,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01300975.jpg,,,,,,,,,, +,Phlox paniculata,岛津制作所标本部,1216,19080805,京都,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0038509.jpg,,,,,,,,,, +天蓝绣球,Phlox paniculata,赖苏雅拉吐,150521190828005LY,20190828,内蒙古,152,,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IATM/IATM0003384.jpg,,,,,,,,,, +天蓝绣球,Phlox paniculata,李书心,7971,19890925,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/12101002x0001.jpg,,,,,,,,,, +透骨草,Phryma leptostachya subsp. asiatica,兰建林,201808010-2,20180801,山东,312,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0047627.jpg,,,,,,,,,, +北美逶骨草,Phryma leptostachya subsp. asiatica,青藏队,6909,19750716,西藏自治区,2300,山坡杂木林缘草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01300672.jpg,,,,,,,,,, +透骨草,Phryma leptostachya subsp. asiatica,彭玏,FL2P-053,20130625,北京市,,,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00093047.jpg,,,,,,,,,, +松蒿,Phtheirospermum japonicum,殷学波,,20180911,北京,,沟边大树下,,有花无果,https://image.cvh.ac.cn/files/l/BJM/0239359.jpg,,,,,,,,,, +松蒿,Phtheirospermum japonicum,M.K.Li,303,19390929,云南省 ,0~1900,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0575253.jpg,,,,,,,,,, +松蒿,Phtheirospermum japonicum,张代贵,4331221510250688LY,20151025,湖南省,223,草丛,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU31257.jpg,,,,,,,,,, +细裂叶松蒿,Phtheirospermum tenuisectum,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075769.jpg,,,,,,,,,, +细裂叶松蒿,Phtheirospermum tenuisectum,邓良,7197,1958/8/26,广东,1200,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0192571.jpg,,,,,,,,,, +细裂叶松蒿,Phtheirospermum tenuisectum,刀志灵;刘德团;郭世伟;张品;杨佳俊;陶丽丹;杨丰懋,KIBDZL203B07,20190721,云南,2852,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1563209.jpg,,,,,,,,,, +过江藤,Phyla nodiflora,陈邦余、李泽贤,151,19801112,广东省,,海边路旁,藤本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/004555.jpg,,,,,,,,,, +过江藤,Phyla nodiflora,黄茂先,113145,19641018,湖南省,170,丘陵、草地、田野、水沟边、石灰岩、阳处、水边、田边草丛、少见散生,草本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/FJSI020563.jpg,,,,,,,,,, +,Phyla nodiflora,刘正宇,977586,19970902,重庆,,沼泽地,伏地草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00608226.jpg,,,,,,,,,, +,Phyllodesmis delavayi,,,,,,,,,,,,,,,,,,, +,Physalis halicacabum,,,,,,,,,,,,,,,,,,, +小酸浆,Physalis minima,B.Bartholomew,2518,19851001,Chaves,800,Growing on a rocky cliff above the road,,有花无果,https://image.cvh.ac.cn/files/l/KUN/183153.jpg,,,,,,,,,, +小酸浆,Physalis minima,梁向日,61658,19320429,海南岛,,,,有花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00050869.jpg,,,,,,,,,, +小酸浆,Physalis minima,王玉雷,686,19770410,海南省,,平地草地,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00029408.jpg,,,,,,,,,, +灯笼果,Physalis peruviana,,17049,19270926,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/147256204.jpg,,,,,,,,,, +灯笼果,Physalis peruviana,,s.n.,,江苏省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00673575.jpg,,,,,,,,,, +灯笼果,Physalis peruviana,彭华、向春雷、王泽欢,PengH8475,20081227,云南,1900,次生林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1564944.jpg,,,,,,,,,, +,Physochlaina macrocalyx,,,,,,,,,,,,,,,,,,, +西藏泡囊草,Physochlaina praealta,高信芬、朱章明、鞠文彬,14910,20110803,西藏自治区,4226,湖边干旱山坡,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0224741.jpg,,,,,,,,,, +西藏脬囊草,Physochlaina praealta,魏来、郝加琛,15517,20150801,西藏,4597,湖边,草本,,https://image.cvh.ac.cn/files/l/BNU/0026032.jpg,,,,,,,,,, +西藏泡囊草,Physochlaina praealta,周太炎,等,650279,19650510,新疆维吾尔自治区,1200,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00229039.jpg,,,,,,,,,, +全叶滇芎,Physospermopsis alepidioides,杨亚滨、曹亚玲,400,Oct-82,四川省,2250,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093978.jpg,,,,,,,,,, +,Physospermopsis cuneata,"Rock, Joseph Francis Charles",5854,1922,,,,,,https://image.cvh.ac.cn/files/l/E/E00000217.jpg,,,,,,,,,, +楔叶滇芎,Physospermopsis cuneata,"周浙昆, 苏涛, 杨莹, 张芳茗, 李国锋, 黄永江",Zhou09-085,20091014,云南,,河滩,杂木林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336866.jpg,,,,,,,,,, +楔叶滇芎,Physospermopsis cuneata,和炳先,88-42,19880000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00029195.jpg,,,,,,,,,, +,Physospermopsis delavayi,"Delavay, J.M.",447,1882-9-1,,,,,,https://image.cvh.ac.cn/files/l/P/P00245423.jpg,,,,,,,,,, +滇芎,Physospermopsis delavayi,溥发鼎,姚淦,174,19821011,四川省,3600,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00029194.jpg,,,,,,,,,, +滇芎,Physospermopsis delavayi,黄蜀琼,35,19580919,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00083818.jpg,,,,,,,,,, +,Physospermopsis muliensis,"孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增",SunH-07ZX-2785,20090927,西藏自治区,3180,林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1336869.jpg,,,,,,,,,, +木里滇芎,Physospermopsis muliensis,,14579,19440628,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00028770.jpg,,,,,,,,,, +木里滇芎,Physospermopsis muliensis,昭觉普查队,179,,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715004772.jpg,,,,,,,,,, +,Phytolacca acinosa,鲁艳,2008092,20080813,云南,1200,地边,灌木,,https://image.cvh.ac.cn/files/l/KUN/1244112.jpg,,,,,,,,,, +商陆,Phytolacca acinosa,G.A.Fu,958,19780819,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0193506.jpg,,,,,,,,,, +商陆,Phytolacca acinosa,张代贵,YD10060,20080811,湖南张家界,,林缘路旁,溪边灌丛,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU61291.jpg,,,,,,,,,, +,Phytolacca americana,"曹子余,哈米提,金健全",,19850900,北京市,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230591.jpg,,,,,,,,,, +垂序商陆,Phytolacca americana,秦岭白药调查组,298,1971/10/25,陕西省 ,,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0290126.jpg,,,,,,,,,, +,Phytolacca americana,万充等,226,19930607,湖北省,40,林下荒地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02230747.jpg,,,,,,,,,, +多雄蕊商陆,Phytolacca polyandra,北川,134,19780723,四川,200,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM703700037.jpg,,,,,,,,,, +多蕊商陆,Phytolacca polyandra,何国生,809,19890510,福建省,450,密林中,草本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/010077.jpg,,,,,,,,,, +,Phytolacca polyandra,青藏队,7313,19820613,云南省,1650,山坡次生杂木林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01820997.jpg,,,,,,,,,, +中国苦树,Picrasma chinensis,刘景欣,345,20090512,云南,754,林中河旁,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029374.jpg,,,,,,,,,, +中国苦树,Picrasma chinensis,王启无,89025,19400430,云南省 ,1000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0393434.jpg,,,,,,,,,, +中国苦树,Picrasma chinensis,曹子余,1031,19581016,贵州省,800,沟底林中荫处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01136227.jpg,,,,,,,,,, +苦树,Picrasma quassioides,陇西山考察队,656,19910528,福建省,1000~800,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01548565.jpg,,,,,,,,,, +苦树,Picrasma quassioides,"张树仁,陈淑荣,王英伟,赵万义,袁天天,潘云云",159,20130419,四川省,1396~1900,山坡沟谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/02021461.jpg,,,,,,,,,, +,Picrasma quassioides,王战,874,19510911,辽宁省,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/07601002a0001.jpg,,,,,,,,,, +,Picris divaricata,王乾、顾健,SCW0285,20190830,四川,2848,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0267562.jpg,,,,,,,,,, +,Picris divaricata,Serre,2306,19290720,山西省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00037625.jpg,,,,,,,,,, +滇苦菜,Picris divaricata,张桥蓉;余华,ZhangYH204,20200510,云南,2071,河沟边草丛中,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1551889.jpg,,,,,,,,,, +毛连菜,Picris hieracioides,Anonymous,20831,19580817,江苏省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ047606.jpg,,,,,,,,,, +,Picris hieracioides,侯宽昭,74442,19400315,云南省 ,,,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU050446.jpg,,,,,,,,,, +,Picris hieracioides,"谢中稳,郑麟",97110,19970817,安徽,1100,路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831057.jpg,,,,,,,,,, +钻叶紫菀,Picris japonica,蒋会婷,84275,20080826,河南省,,路旁,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0003842.jpg,,,,,,,,,, +,Picris japonica,张永异等,279,19820805,河北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/280162141.jpg,,,,,,,,,, +日本毛连菜,Picris japonica,贺贤育,26496,19570902,浙江省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ047605.jpg,,,,,,,,,, +,Picris junnanensis,"Forrest, George",2421,6-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00413039.jpg,,,,,,,,,, +云南毛连菜,Picris junnanensis,葛斌杰、魏宇坤,GBJ00514,20110627,云南,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0095284.jpg,,,,,,,,,, +美丽马醉木,Pieris formosa,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201285,20200726,西藏,2377,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505498.jpg,,,,,,,,,, +美丽马醉木,Pieris formosa,覃浩富,200774,19561105,广西壮族自治区,,山谷疏林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/FJSI/000764.jpg,,,,,,,,,, +美丽马醉木,Pieris formosa,南京林学院,22078,19820516,安徽省,450,,乔木,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI036006.jpg,,,,,,,,,, +冠盖藤,Pileostegia viburnoides,"马丹丹,寿海洋",ZJFC236,20070923,浙江省,500,山坡路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01869593.jpg,,,,,,,,,, +冠盖藤,Pileostegia viburnoides,陈念劬,41848,19301004,香港特别行政区,,攀援于石上,,无花无果,https://image.cvh.ac.cn/files/l/SHM/SHM0019177.jpg,,,,,,,,,, +冠盖藤,Pileostegia viburnoides,H.T.Tsai,61723,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0302806.jpg,,,,,,,,,, +一枝香,Piloselloides hirsuta,董佩萱,87,19630423,湖北省,90,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0022351.jpg,,,,,,,,,, +,Piloselloides hirsuta,付沛云,2205,19500831,吉林省,200,草地,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00490771.jpg,,,,,,,,,, +,Piloselloides hirsuta,H.Migo,,19370410,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00490769.jpg,,,,,,,,,, +锐叶茴芹,Pimpinella arguta,"朱长山,侯学良,朱世新,李家美,欣玮玮,张若鹏,许雪敏,杨登旭,王艳华",160815015,20160815,河南省,,,,有花有果,https://image.cvh.ac.cn/files/l/AU/AU064460.jpg,,,,,,,,,, +锐叶茴芹,Pimpinella arguta,吴宝成,吴宝成2731,20160725,贵州省,1561,溪边草地,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00620544.jpg,,,,,,,,,, +,Pimpinella arguta,"Henry, A.",7086,1889-3,,,,,,https://image.cvh.ac.cn/files/l/P/P00834755.jpg,,,,,,,,,, +重波茴芹,Pimpinella bisinuata,,10,19841105,云南省 ,2850,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00027534.jpg,,,,,,,,,, +重波茴芹,Pimpinella bisinuata,高云东,鞠文彬,杨焰,THP-KD-1895,20170716,四川,3100-3200,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242314.jpg,,,,,,,,,, +重波茴芹,Pimpinella bisinuata,吴宝成,吴宝成2579,20140914,重庆,1056,山坡路边,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00595979.jpg,,,,,,,,,, +杏叶茴芹,Pimpinella candolleana,黄志,32231,19320427,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00159642.jpg,,,,,,,,,, +杏叶茴芹,Pimpinella candolleana,方震东,HB2007-316,20070902,云南省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 008268.jpg,,,,,,,,,, +杏叶茴芹,Pimpinella candolleana,和炳先,52,19860823,云南省 ,2650,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00027496.jpg,,,,,,,,,, +尾尖茴芹,Pimpinella caudata,鄂神农架植考队,11765,19760822,湖北省,1700,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0076077.jpg,,,,,,,,,, +尾尖茴芹,Pimpinella caudata,H.T.Tsai,53769,1933/8/17,云南,3000,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0035967.jpg,,,,,,,,,, +,Pimpinella caudata,王乾、顾健,SCW1010,20190816,四川,2547,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0266754.jpg,,,,,,,,,, +中甸茴芹,Pimpinella chungdienensis,M.G.Pimemov et al.,266,19580920,四川省,2670~3400,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00757536.jpg,,,,,,,,,, +中甸茴芹,Pimpinella chungdienensis,贺士元,,19980911,云南省,,,,,https://image.cvh.ac.cn/files/l/BNU/0013697.jpg,,,,,,,,,, +中甸茴芹,Pimpinella chungdienensis,方震东、和光,XZ-032,20070920,云南,2592,云南松林,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008442.jpg,,,,,,,,,, +革叶茴芹,Pimpinella coriacea,覃立升,15280,19601104,广西壮族自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI026637.jpg,,,,,,,,,, +革叶茴芹,Pimpinella coriacea,陈俊华,601,,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM715004986.jpg,,,,,,,,,, +,Pimpinella coriacea,"Delavay, J.M.",445,1883-11-5,,,,,,https://image.cvh.ac.cn/files/l/P/P00834782.jpg,,,,,,,,,, +异叶茴芹(原变种),Pimpinella diversifolia var. diversifolia,谢登峰、付筱,2029538,20190923,四川,4496,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/02029538.jpg,,,,,,,,,, +,Pimpinella diversifolia var. diversifolia,"F.Miyamoto,K.R.Rajbhandari,S.Akiyama et al.",9440150,19940812,,2680,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01349022.jpg,,,,,,,,,, +走茎异叶茴芹,Pimpinella diversifolia var. stolonifera,石棉队,78-1297,,四川,,林中,,有花有果,https://image.cvh.ac.cn/files/l/SM/SM715004875.jpg,,,,,,,,,, +走茎异叶茴芹,Pimpinella diversifolia var. stolonifera,冯国楣,6283,19400801,云南省,2700~3000,山坡灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0464281.jpg,,,,,,,,,, +走茎异叶茴芹,Pimpinella diversifolia var. stolonifera,,699,,江西省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00049142.jpg,,,,,,,,,, +城口茴芹,Pimpinella fargesii,麻超柏、石琳军,HY20180809_0846,20180809,湖南,566.9,草丛,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU53869.jpg,,,,,,,,,, +,Pimpinella fargesii,"Henry, A.",7331,1889-3,,,,,,https://image.cvh.ac.cn/files/l/P/P00834792.jpg,,,,,,,,,, +城口茴芹,Pimpinella fargesii,,278,,四川,,生于林边,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715004881.jpg,,,,,,,,,, +细软茴芹,Pimpinella flaccida,王作宾,15887,19520721,陕西省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00027122.jpg,,,,,,,,,, +细软茴芹,Pimpinella flaccida,H.T.Tsai,57624A,,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00027079.jpg,,,,,,,,,, +细软茴芹,Pimpinella flaccida,傅坤俊,17994,1978/10/9,云南,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0416120.jpg,,,,,,,,,, +灰叶茴芹,Pimpinella grisea,王跃华;申仕康等,YNUWYH040B28,20211104,云南,2068,林下,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1564637.jpg,,,,,,,,,, +灰叶茴芹,Pimpinella grisea,潘泽惠等,861,19860923,四川省,2300,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00034781.jpg,,,,,,,,,, +灰叶茴芹,Pimpinella grisea,潘泽惠等,903,19861004,云南省,2150,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00034779.jpg,,,,,,,,,, +川鄂茴芹,Pimpinella henryi,黄汉东,周茜,胡华,孙燕军,825,20161013,湖北,1450,,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0173756.jpg,,,,,,,,,, +川鄂茴芹,Pimpinella henryi,傅坤俊,14146,1960/8/7,甘肃,1520,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0363993.jpg,,,,,,,,,, +,Pimpinella henryi,张志英,628,19580907,甘肃省,1460,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0464291.jpg,,,,,,,,,, +,Pimpinella kingdon-wardii,"张廷,蔡杰,袁明,刘恩德,刘成,郭永杰",09CS1602,20090926,西藏自治区,3313,高山栎,冷杉林林缘山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336943.jpg,,,,,,,,,, +,Pimpinella kingdon-wardii,"Kingdon-Ward, Francis",1110,13-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00000518.jpg,,,,,,,,,, +德钦茴芹,Pimpinella kingdon-wardii,毛品一,992,19520524,云南省,3500,"山谷, 草地, 溪旁, 润湿,普遍",草本直立,,https://image.cvh.ac.cn/files/l/IBK/IBK00338853.jpg,,,,,,,,,, +异序茴,Pimpinella monoica,,4287,19171000,,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0440822.jpg,,,,,,,,,, +,Pimpinella monoica,张经炜,999,19730811,西藏自治区,3000,冰川侧碛,,无花有果,https://image.cvh.ac.cn/files/l/PE/01491086.jpg,,,,,,,,,, +异序茴芹,Pimpinella monoica,陈晓澄等,6774,20140813,西藏,2923,阔叶林及针叶林下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00019416.jpg,,,,,,,,,, +下曲茴芹,Pimpinella refracta,,5769,19300712,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00028046.jpg,,,,,,,,,, +,Pimpinella refracta,"Forrest, George",14885,17-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00000497.jpg,,,,,,,,,, +下曲茴芹,Pimpinella refracta,杨竟生,164,,云南省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0464332.jpg,,,,,,,,,, +,Pimpinella rhomboidea var. rhomboidea,,,,,,,,,,,,,,,,,,, +小菱叶茴芹,Pimpinella rhomboidea var. tenuiloba,赵清盛、师进斌等,1206700,1983-6 2,四川省,2200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094196.jpg,,,,,,,,,, +丽江茴芹,Pimpinella rockii,刘林翰,何观州,16102,1963/9/30,湖南,1050,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0258265.jpg,,,,,,,,,, +丽江茴芹,Pimpinella rockii,T.T.Yu,15354,19370723,云南省 ,3400,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00041169.jpg,,,,,,,,,, +丽江茴芹,Pimpinella rockii,普格队,770,,四川,,阴湿沟边,,有花有果,https://image.cvh.ac.cn/files/l/SM/SM715004923.jpg,,,,,,,,,, +,Pimpinella rubescens,"Delavay, J.M.",,1887-7-18,,,,,,https://image.cvh.ac.cn/files/l/P/P02519800.jpg,,,,,,,,,, +少花茴芹,Pimpinella rubescens,T.T.Yu,7759,19370817,云南省 ,3400,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00028018.jpg,,,,,,,,,, +少花茴芹,Pimpinella rubescens,C.W.Wang,71156,1935/07/,云南,3000,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0039533.jpg,,,,,,,,,, +木里茴芹,Pimpinella silvatica,,186,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/075284.jpg,,,,,,,,,, +木里茴芹,Pimpinella silvatica,,9904,1975-9 1,四川省,3000,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0093403.jpg,,,,,,,,,, +木里茴芹,Pimpinella silvatica,王启无,67926,19350700,云南省,2500,溪谷,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0464382.jpg,,,,,,,,,, +巍山茴芹,Pimpinella weishanensis,谢朝俊,42014,19550000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00028129.jpg,,,,,,,,,, +巍山茴芹,Pimpinella weishanensis,西藏考察队,900,19730709,西藏自治区,2400,山地阴坡,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00004557.jpg,,,,,,,,,, +巍山茴芹,Pimpinella weishanensis,,26325,,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715004874.jpg,,,,,,,,,, +,Pimpinella yunnanensis,"Henry, Augustine",9588,,,,,,,https://image.cvh.ac.cn/files/l/E/E00000486.jpg,,,,,,,,,, +云南茴芹,Pimpinella yunnanensis,西师生物系,12453,1976-7 1,四川省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094231.jpg,,,,,,,,,, +云南茴芹,Pimpinella yunnanensis,蔡希陶,53921,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00031733.jpg,,,,,,,,,, +高山捕虫堇,Pinguicula alpina,张代贵等,zdg6755,20120415,湖北省,,阴湿岩壁,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU33186.jpg,,,,,,,,,, +高山捕虫堇,Pinguicula alpina,中德考察队,35762,19870704,Zurich,2000~2100,,草本 ,无花无果,https://image.cvh.ac.cn/files/l/KUN/0317950.jpg,,,,,,,,,, +高山捕虫堇,Pinguicula alpina,黎斌、陈昊,LB18770,20160614,陕西省,2583~2185,山谷溪流旁岩石缝中,草本,有花有果,https://image.cvh.ac.cn/files/l/XBGH/009317.jpg,,,,,,,,,, +窄叶海桐,Pittosporum angustilimbum,青藏队,2874,19810717,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/007961.jpg,,,,,,,,,, +,Pittosporum angustilimbum,王作宾,9781,19380918,四川省,2500,omong bur hes,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0486028.jpg,,,,,,,,,, +异叶海桐,Pittosporum heterophyllum,付坤俊,5612,19520831,陕西省,850,高山坡丛林中,灌木,,https://image.cvh.ac.cn/files/l/IBK/IBK00334811.jpg,,,,,,,,,, +,Pittosporum heterophyllum,俞德浚,14382,19370926,四川省,3000,混合林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0486538.jpg,,,,,,,,,, +异叶海桐,Pittosporum heterophyllum,齐欣,3785,20090701,湖北,250,山地,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1903785.jpg,,,,,,,,,, +滇西海桐,Pittosporum johnstonianum,C. W. Wang,88856,19400425,云南省 ,,mixed woods,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00348491.jpg,,,,,,,,,, +滇西海桐,Pittosporum johnstonianum,独龙江考察队,3933,19910201,云南省,1400,河谷,灌丛,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0486664.jpg,,,,,,,,,, +滇西海桐,Pittosporum johnstonianum,T.T.Yu,5912,19370603,四川省,2200,among woods,,无花有果,https://image.cvh.ac.cn/files/l/PE/00844791.jpg,,,,,,,,,, +石生海桐,Pittosporum saxicola,四川农学院,6495,19570810,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0202565.jpg,,,,,,,,,, +石生海桐,Pittosporum saxicola,昭觉队,428,19790527,四川,2500,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM706600431.jpg,,,,,,,,,, +,Pittosporum saxicola,"Wilson, E.H.",3230,4-Aug,,,,,,https://image.cvh.ac.cn/files/l/P/P00698021.jpg,,,,,,,,,, +崖花子,Pittosporum truncatum,田代科、肖艳、陈岳,LS-1338,20130411,湖南省,513,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0094012.jpg,,,,,,,,,, +崖花子,Pittosporum truncatum,徐粹新,282,1980.08.,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/HENU/1005634.jpg,,,,,,,,,, +崖花子,Pittosporum truncatum,D.E.Boufford et al.,37549,20070510,甘肃,1130~1250,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01814827.jpg,,,,,,,,,, +车前,Plantago asiatica,汪庆,王淑安,320722181016302LY,20181016,江苏省,,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00628783.jpg,,,,,,,,,, +疏花车前,Plantago asiatica,,5142,19460423,福建省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01279135.jpg,,,,,,,,,, +车前,Plantago asiatica,冯建菊,Liujq-0091,20100904,新疆维吾尔自治区,0~2846,田边荒地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0288507.jpg,,,,,,,,,, +垂细车前草变种,Plantago asiatica subsp. densiflora,,2801,19160824,陕西省,1500~1700,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00030710.jpg,,,,,,,,,, +长果车前,Plantago asiatica subsp. densiflora,冯正波 邵慧敏,20070029,20070403,,760,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/015767.jpg,,,,,,,,,, +,Plantago asiatica subsp. densiflora,蒋兴麟,37636,19531022,四川省,2000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01279041.jpg,,,,,,,,,, +疏花车前,Plantago asiatica subsp. erosa,张代贵、张代富,BJ20170323027_0027,20170323,湖南,406.7,田中,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU69221.jpg,,,,,,,,,, +疏花车前,Plantago asiatica subsp. erosa,秦岭队,10664,19580913,陕西,,阴处 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01826718.jpg,,,,,,,,,, +疏花车前,Plantago asiatica subsp. erosa,邓朝义,522301160331168LY,20160331,贵州省,1327,草丛、中生、阳性、钙质土、中温,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0059659.jpg,,,,,,,,,, +平车前,Plantago depressa,Y.Y.Pai,169,19330831,宁夏回族自治区,1500,,herbs,有花有果,https://image.cvh.ac.cn/files/l/NKU/NK 010401.jpg,,,,,,,,,, +平车前,Plantago depressa,宋增放,3,20160622,福建省,,林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU053989.jpg,,,,,,,,,, +毛平车前,Plantago depressa,王臣;张欣欣;陈冰瑞;邹慧,WangCh637,20200903,黑龙江,1166,阔叶林林缘,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1555713.jpg,,,,,,,,,, +,Plantago griffithii,,,,,,,,,,,,,,,,,,, +喜马拉雅车前,Plantago himalaica,塔里木大学资源调查组,TD-01738,20070824,新疆,3700米,山间溪流边,,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU01187.jpg,,,,,,,,,, +喜马拉雅车前,Plantago himalaica,西植新疆队,996,78.07.05,新疆维吾尔自治区 ,3600,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00034858.jpg,,,,,,,,,, +,Plantago himalaica,"M.Suzuki,N.Acharya,N.Fujii etc.",9460215,19940805,,3100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02107816.jpg,,,,,,,,,, +大车前,Plantago major,"Tsang ,Wai-Tak",399,19280520,海南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00246354.jpg,,,,,,,,,, +大车前,Plantago major,张代贵、王业清、朱晓琴,1977,20170718,湖北宜昌,1690,,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/HHE12054.jpg,,,,,,,,,, +大车前,Plantago major,郑学忠,赖茂祥,80756,19920629,新疆维吾尔自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI038586.jpg,,,,,,,,,, +,Platostoma coloratum,,,,,,,,,,,,,,,,,,, +,Platostoma hispidum,,,,,,,,,,,,,,,,,,, +堇叶苣苔,Platystemma violoides,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201148,20200722,西藏,2201,河边岩壁上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507194.jpg,,,,,,,,,, +堇叶苣苔,Platystemma violoides,"高信芬, 张良, 李蒙, 张桥蓉, 亚吉东, 崔光帅",QTP-II08-T05-000260,20171204,,2470,Destroyed forest near river,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484033.jpg,,,,,,,,,, +堇叶苣苔,Platystemma violoides,CMTTE,CMTTE679,20120805,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0106291.jpg,,,,,,,,,, +,Plectranthus rotundifolius,,,,,,,,,,,,,,,,,,, +,Pleurospermum albimarginatum,,,,,,,,,,,,,,,,,,, +美丽棱子芹,Pleurospermum amabile,C.W.Wang,69694,19350900,云南省 ,3200,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00029442.jpg,,,,,,,,,, +美丽棱子芹,Pleurospermum amabile,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,385,20120801,西藏,,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230536.jpg,,,,,,,,,, +美丽棱子芹,Pleurospermum amabile,青藏队,5090,1981-8 2,四川省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094203.jpg,,,,,,,,,, +归叶棱子芹,Pleurospermum angelicoides,青藏队,2944,1981-7 1,云南省,2700,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094206.jpg,,,,,,,,,, +,Pleurospermum angelicoides,"Forrest, George",2580,,,,,,,https://image.cvh.ac.cn/files/l/E/E00000165.jpg,,,,,,,,,, +归叶棱子芹,Pleurospermum angelicoides,潘泽惠,等,986,19861025,四川省,3650,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00029447.jpg,,,,,,,,,, +紫色棱子芹,Pleurospermum apiolens,"张挺, 刘成, 亚吉东",18CS17698,20180916,西藏,4011,垂枝柏,小蘗山坡灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1484537.jpg,,,,,,,,,, +紫色棱子芹,Pleurospermum apiolens,倪志诚,次多,次旦,3049,19820819,西藏自治区,4000,高山灌丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0005002.jpg,,,,,,,,,, +芳香棱子芹,Pleurospermum aromaticum,G.Forrest,6188,19100700,云南省 ,4000,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00029438.jpg,,,,,,,,,, +,Pleurospermum aromaticum,"何兴金,郜鹏,彭禄,王会朋",SCU-11-388,20110908,四川省,4215,山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1336995.jpg,,,,,,,,,, +,Pleurospermum aromaticum,"Forrest, George",6188,10-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00000169.jpg,,,,,,,,,, +雅江棱子芹,Pleurospermum astrantioideum,K.M.Liou,7174,1936/9/28,青海,2290,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0067335.jpg,,,,,,,,,, +雅江棱子芹,Pleurospermum astrantioideum,T.T.Yu,12151,19370715,云南省,3700,rocky hill,,有花有果,https://image.cvh.ac.cn/files/l/PE/00744653.jpg,,,,,,,,,, +雅江棱子芹,Pleurospermum astrantioideum,高云东,黎怀成,郑臣臣,THP-KD-2392,20170713,四川,4500-4700,,垫状草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241945.jpg,,,,,,,,,, +,Pleurospermum benthamii,"David, A.",,1869-8,,,,,,https://image.cvh.ac.cn/files/l/P/P00834575.jpg,,,,,,,,,, +宝兴棱子芹,Pleurospermum benthamii,西藏生物所植物资源队,3498,19830809,西藏自治区,3800~4100,冷杉林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0004988.jpg,,,,,,,,,, +宝兴棱子芹,Pleurospermum benthamii,方震东,1005,19880817,云南省,3900,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 002271.jpg,,,,,,,,,, +,Pleurospermum bicolor,"Rock, Joseph Francis Charles",10781,19-Sep-23,,,,,,https://image.cvh.ac.cn/files/l/E/E00000156.jpg,,,,,,,,,, +二色棱子芹,Pleurospermum bicolor,张挺;亚吉东;杨娅娟;陈凯,16CS13957,20161017,四川,4190,高山灌草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1480845.jpg,,,,,,,,,, +,Pleurospermum bicolor,,28106,19290800,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00744654.jpg,,,,,,,,,, +,Pleurospermum calcareum,胡光万,HGW-00335,20081017,云南省,3100,山地,路边草丛,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337002.jpg,,,,,,,,,, +鸡冠棱子芹,Pleurospermum cristatum,陈晓澄、肖洒,7247,20150731,青海,3734,高山草原阳坡,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00024638.jpg,,,,,,,,,, +,Pleurospermum cristatum,"Henry, A.",6510,1889-3,,,,,,https://image.cvh.ac.cn/files/l/P/P00834577.jpg,,,,,,,,,, +鸡冠棱子芹,Pleurospermum cristatum,傅坤俊,14407,1962/9/9,陕西,2400,,草本直立,无花有果,https://image.cvh.ac.cn/files/l/WUK/0185621.jpg,,,,,,,,,, +翼叶棱子芹,Pleurospermum decurrens,周立华,1544,19700714,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0211815.jpg,,,,,,,,,, +翼叶棱子芹,Pleurospermum decurrens,赵清盛、牟克华、杨亚滨,6888,1978-7 2,四川省,3150,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094240.jpg,,,,,,,,,, +翼叶棱子芹,Pleurospermum decurrens,,6,19841102,云南省 ,3900,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00030140.jpg,,,,,,,,,, +,Pleurospermum foetens,"Delavay, J.M.",835,1884-7-9,,,,,,https://image.cvh.ac.cn/files/l/P/P00834589.jpg,,,,,,,,,, +丽江棱子芹,Pleurospermum foetens,青藏队,73-1046,19730812,西藏自治区,3800,山坡灌丛草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00744875.jpg,,,,,,,,,, +丽江棱子芹,Pleurospermum foetens,青藏队,2774,1981-7 1,云南省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094245.jpg,,,,,,,,,, +异伞棱子芹,Pleurospermum franchetianum,,,19630703,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/083152.jpg,,,,,,,,,, +松潘棱子芹,Pleurospermum franchetianum,甘肃省卫生局中草药组,707-217,19700724,甘肃,~2500,山地南坡灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092140.jpg,,,,,,,,,, +松潘棱子芹,Pleurospermum franchetianum,不祥,2464,19590816,河北省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0211814.jpg,,,,,,,,,, +,Pleurospermum handelii,王启无,65628,19350800,西藏自治区,3800,mountain slope,,无花有果,https://image.cvh.ac.cn/files/l/PE/00744945.jpg,,,,,,,,,, +,Pleurospermum handelii,王启无,65628,1935/8/20,云南,3800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0047545.jpg,,,,,,,,,, +,Pleurospermum handelii,杨永昌,1157,1965/7/11,青海,4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0261195.jpg,,,,,,,,,, +垫状棱子芹,Pleurospermum hedinii,,,19760817,四川省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00029436.jpg,,,,,,,,,, +垫状棱子芹,Pleurospermum hedinii,高庆波、贾留坤,Gao2017166,20170807,青海,4376,荒漠草原,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026009.jpg,,,,,,,,,, +垫状棱子芹,Pleurospermum hedinii,方震东、海仙、谢爱芳,DJDC-635,20160705,云南省,4255,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000039.jpg,,,,,,,,,, +,Pleurospermum heracleifolium,"Orléans, H. d'",,,,,,,,https://image.cvh.ac.cn/files/l/P/P00834539.jpg,,,,,,,,,, +芷叶棱子芹,Pleurospermum heracleifolium,冯国楣,6173,19400801,云南省,3600~3900,草坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0464686.jpg,,,,,,,,,, +芷叶棱子芹,Pleurospermum heracleifolium,青藏队,6350,19750713,西藏自治区,2800,山坡路边灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00745034.jpg,,,,,,,,,, +异伞棱子芹,Pleurospermum heterosciadium,BNU,LPS022,20120726,宁夏,2288,林下,草本,,https://image.cvh.ac.cn/files/l/BNU/0011726.jpg,,,,,,,,,, +异伞棱子芹,Pleurospermum heterosciadium,"李渤生,程树志,倪志诚",5969,19830728,西藏自治区,4300,高山 灌丛草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01538823.jpg,,,,,,,,,, +,Pleurospermum heterosciadium,"Forrest, George",127,4-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00610809.jpg,,,,,,,,,, +,Pleurospermum hookeri var. haidongense,张鸿昌,839,19890923,青海省,3080,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/159685.jpg,,,,,,,,,, +虎克棱子芹,Pleurospermum hookeri var. hookeri,吴玉虎,51029,20150712,青海省,2660,阴坡灌丛、山崖石隙,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00003006.jpg,,,,,,,,,, +西藏棱子芹,Pleurospermum hookeri var. thomsonii,,,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00030036.jpg,,,,,,,,,, +西藏棱子芹,Pleurospermum hookeri var. thomsonii,谢登峰、蔡竞、秦换换,QH-018-B-050,20200927,四川,3228.06m,高原草甸,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02064198.jpg,,,,,,,,,, +西藏棱子芹,Pleurospermum hookeri var. thomsonii,何叶祺,3638,1959/6/30,甘肃,2200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0159643.jpg,,,,,,,,,, +线裂棱子芹,Pleurospermum linearilobum,何叶祺等,58,1976/8/20,云南,2800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0321469.jpg,,,,,,,,,, +线裂棱子芹,Pleurospermum linearilobum,杜大华,593,19350000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00031813.jpg,,,,,,,,,, +线裂棱子芹,Pleurospermum linearilobum,和炳先,85-001,,云南省 ,3400,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00030198.jpg,,,,,,,,,, +长果棱子芹,Pleurospermum longicarpum,"张挺, 郭永杰, 吴之坤, 姜虹, 李贵能",16CS12656,20160821,四川,3850,公路边山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1454246.jpg,,,,,,,,,, +,Pleurospermum longicarpum,西藏中草药普查队,612,19720629,西藏自治区,3700,山沟林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00745130.jpg,,,,,,,,,, +,Pleurospermum longicarpum,"Forrest, George",8958,12-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00000149.jpg,,,,,,,,,, +大苞棱子芹,Pleurospermum macrochlaenum,,6214,19830808,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00745135.jpg,,,,,,,,,, +大苞棱子芹,Pleurospermum macrochlaenum,"张挺, 刘成, 亚吉东",18CS17702,20180916,西藏,3960,路上方山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487396.jpg,,,,,,,,,, +矮棱子芹,Pleurospermum nanum,T.T.Yu,15374,19760816,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00041268.jpg,,,,,,,,,, +矮棱子芹,Pleurospermum nanum,傅德志等,87-2412,19870802,四川省,4050,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/004554.jpg,,,,,,,,,, +矮棱子芹,Pleurospermum nanum,何毅,刘丹辉,BNU2017XZ064,20170823,西藏自治区,4645,金露梅灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0040255.jpg,,,,,,,,,, +皱果棱子芹,Pleurospermum nubigenum,张英伯,663,19401101,云南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00039884.jpg,,,,,,,,,, +皱果棱子芹,Pleurospermum nubigenum,姜恕,金存礼,2498,19590728,四川省,4889,山顶,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0464777.jpg,,,,,,,,,, +皱果棱子芹,Pleurospermum nubigenum,,620,19590708,西藏自治区,5000,河阶石砾石质砂地,,无花无果,https://image.cvh.ac.cn/files/l/PE/00745159.jpg,,,,,,,,,, +疏毛棱子芹,Pleurospermum pilosum,青藏队,74-2691,19740920,西藏自治区,4100,山谷草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00745161.jpg,,,,,,,,,, +疏毛棱子芹,Pleurospermum pilosum,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,641,20120805,西藏,,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230538.jpg,,,,,,,,,, +,Pleurospermum pulszkyi,王启无,69022,19350800,云南省,3600,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00745123.jpg,,,,,,,,,, +,Pleurospermum pulszkyi,"陈世龙,张得钧,高庆波,张发起",ChenSL0436,20080811,四川省,3500,高山草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1337071.jpg,,,,,,,,,, +青藏棱子芹,Pleurospermum pulszkyi,郭淑青、杜品,LiuJQ-GN-212,20120824,甘肃省,0~3210,高寒灌丛林缘,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0284492.jpg,,,,,,,,,, +心叶棱子芹,Pleurospermum rivulorum,刘杰,罗亚皇,刘基男,谭少林,YMT3200-1-1043,20130728,云南,3247,云南松-帽斗栎林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1439041.jpg,,,,,,,,,, +心叶棱子芹,Pleurospermum rivulorum,和炳先,20,19860604,云南省 ,4200,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00037738.jpg,,,,,,,,,, +心叶棱子芹,Pleurospermum rivulorum,,27,19830724,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/071145.jpg,,,,,,,,,, +,Pleurospermum souliaei,,,,,,,,,,,,,,,,,,, +青海棱子芹,Pleurospermum szechenyii,普查队,57,,四川,,高山草坡,,有花有果,https://image.cvh.ac.cn/files/l/SM/SM715005173.jpg,,,,,,,,,, +青海棱子芹,Pleurospermum szechenyii,青藏队植被组,8629,19760626,西藏自治区,4230,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00759991.jpg,,,,,,,,,, +青海棱子芹,Pleurospermum szechenyii,郭本兆,20959,19770705,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048955.jpg,,,,,,,,,, +,Pleurospermum tsekuense,王乾、顾健,SCW1241,20190811,四川,4500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0266908.jpg,,,,,,,,,, +泽库棱子芹,Pleurospermum tsekuense,陈世龙、高庆波、张发起等,Chensl-1643,20110820,青海,3150,沙棘灌丛,直立草本,有花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00024674.jpg,,,,,,,,,, +泽库棱子芹,Pleurospermum tsekuense,陈晓澄等,3614,20130806,青海省,3358,灌木草甸阴坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00016446.jpg,,,,,,,,,, +,Pleurospermum wilsonii,刘恩德,5820,20020819,云南省,3200,石头山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920120.jpg,,,,,,,,,, +,Pleurospermum wilsonii,"Legendre, A.F.",1603,1911/10/4,,,,,,https://image.cvh.ac.cn/files/l/P/P00834557.jpg,,,,,,,,,, +粗茎棱子芹,Pleurospermum wilsonii,曾万章等,25,Oct-83,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094371.jpg,,,,,,,,,, +瘤果棱子芹,Pleurospermum wrightianum,四川植被调查队,5471,1974-7 3,四川省,3600,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094380.jpg,,,,,,,,,, +瘤果棱子芹,Pleurospermum wrightianum,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20850,20200630,西藏,3852,岩壁上,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505976.jpg,,,,,,,,,, +瘤果棱子芹,Pleurospermum wrightianum,陈晓澄等,2465,20120808,青海,3760,灌丛山坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00021287.jpg,,,,,,,,,, +,Pleurospermum yunnanense,"Delavay, J.M.",3173,1887-8-19,,,,,,https://image.cvh.ac.cn/files/l/P/P00834567.jpg,,,,,,,,,, +云南棱子芹,Pleurospermum yunnanense,Harry Smith,11520,19340824,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00782048.jpg,,,,,,,,,, +云南棱子芹,Pleurospermum yunnanense,冯国楣,23270,19580826,云南省,3900,杜鹃林内,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0464842.jpg,,,,,,,,,, +,Pluchea linearifolia,,,,,,,,,,,,,,,,,,, +鸡娃草,Plumbagella micrantha,王文中,3185,19540807,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01478111.jpg,,,,,,,,,, +鸡娃草,Plumbagella micrantha,PCCZ,T384,19980822,新疆维吾尔自治区 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/183218.jpg,,,,,,,,,, +鸡娃草,Plumbagella micrantha,,180,19780802,四川,2600左右,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717100605.jpg,,,,,,,,,, +白花丹,Plumbago zeylanica,Shiu Ying Hu,12798,19730128,香港,,"lying over a stone fence,dirty waste place by a house",,有花有果,https://image.cvh.ac.cn/files/l/PE/00749736.jpg,,,,,,,,,, +白花丹,Plumbago zeylanica,平乐县普查队,450330180911008LY,20180911,广西,110,草丛,路旁,黄棕壤,一般野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00413260.jpg,,,,,,,,,, +白花丹,Plumbago zeylanica,海南东路队,876,19541207,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00028801.jpg,,,,,,,,,, +缅栀子,Plumeria rubra,蒋英,430,19170510,广东,,,乔木,有花无果,https://image.cvh.ac.cn/files/l/AU/AU086179.jpg,,,,,,,,,, +缅栀子,Plumeria rubra,Y.Tsiang,12465,19331031,云南省 ,1150,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0478676.jpg,,,,,,,,,, +红鸡蛋花,Plumeria rubra,谢彦军、梁树朝,B0355,20100722,广西,~8,山地,疏林;普遍,灌木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00435680.jpg,,,,,,,,,, +,Pogostemon amaranthoides,,,,,,,,,,,,,,,,,,, +水珍珠菜,Pogostemon auricularius,张代贵,YD10065,19821005,湖南湘西州,,潮湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU61667.jpg,,,,,,,,,, +水珍珠菜,Pogostemon auricularius,吴征镒,314,19580115,缅甸,300~200,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/350158.jpg,,,,,,,,,, +水珍珠菜,Pogostemon auricularius,钟山调查队,7-947,19771008,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI043779.jpg,,,,,,,,,, +,Pogostemon benghalensis,,,,,,,,,,,,,,,,,,, +,Pogostemon brachystachyus,,,,,,,,,,,,,,,,,,, +,Pogostemon elsholtzioides,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11961,20161117,西藏,756,路边,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1445141.jpg,,,,,,,,,, +刺蕊草,Pogostemon glaber,宋鼎;刘敏;魏定名;杨龙斌;李双斌;张桥蓉,CN197,20190220,云南,1221,江边林中,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1553514.jpg,,,,,,,,,, +刺蕊草,Pogostemon glaber,勐腊普查队,5328231317,20151123,云南省,1680.6,草丛,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0033153.jpg,,,,,,,,,, +,Pogostemon glaber,"Esquirol, Joseph Henri (Rev. Père)",2053,1-Mar-10,,,,,,https://image.cvh.ac.cn/files/l/E/E00301426.jpg,,,,,,,,,, +,Pogostemon linearis,"Martin, Léon Francois",1946,13 September 1897,,,,,,https://image.cvh.ac.cn/files/l/E/E00681024.jpg,,,,,,,,,, +,Pogostemon linearis,姚纲,348,20101105,云南省,0,山地、路旁、沼泽,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0765739.jpg,,,,,,,,,, +小刺蕊草,Pogostemon menthoides,董洪进,王泽欢,胡国雄,彭华,LC-Z-098,20131209,云南省,1629,林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1253243.jpg,,,,,,,,,, +小刺蕊草,Pogostemon menthoides,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/079394.jpg,,,,,,,,,, +小刺蕊草,Pogostemon menthoides,王立东,何忠云,罗成瑜,ALSZY191,20091202,云南,2086,针叶林边荒地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1389544.jpg,,,,,,,,,, +,Pogostemon parviflorus,,,,,,,,,,,,,,,,,,, +,Pogostemon tuberculosus,,,,,,,,,,,,,,,,,,, +,Pogostemon villosus,,,,,,,,,,,,,,,,,,, +,Polycarpon prostratum,胡启和,周兵,仇亚等,YNS0888,20100424,云南,1003,公路边农田,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1239297.jpg,,,,,,,,,, +,Polycarpon prostratum,海南工作队 ,893,19550000,海南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00603095.jpg,,,,,,,,,, +多荚草,Polycarpon prostratum,,114502,19810612,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00221027.jpg,,,,,,,,,, +,Polygonum aviculare,冯虎元,LiuJQ-08KLS-015,20080904,青海,3549,高寒沼泽草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1240544.jpg,,,,,,,,,, +萹蓄,Polygonum aviculare,W.Y. Hsia,H. 2346,1930/9/9,Chark'ar,1550,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00061971.jpg,,,,,,,,,, +萹蓄,Polygonum aviculare,侯元同,王康满,侯元免,李爱民,杨毅,16002-1,20160911,湖北,1826,路边,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0040935.jpg,,,,,,,,,, +,Polygonum chayuum,C. W. Wang,66079,Aug-35,,3800,,,,https://image.cvh.ac.cn/files/l/HUH/A00238833.jpg,,,,,,,,,, +,Polygonum cognatum,徐文斌,黄刚,SHI-2009191,20090815,新疆,270,荒漠,缠绕草本,,https://image.cvh.ac.cn/files/l/KUN/1240695.jpg,,,,,,,,,, +岩蓼,Polygonum cognatum,albert n.steward,6713,19210820,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/077041547.jpg,,,,,,,,,, +岩蓼,Polygonum cognatum,,6281,19580801,新疆维吾尔自治区,2500,河漫滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00233949.jpg,,,,,,,,,, +,Polygonum cognatum subsp. chitralicum,,,,,,,,,,,,,,,,,,, +,Polygonum fusco-ochreatum,B.W.Skvortzov,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/04205006x0022.jpg,,,,,,,,,, +,Polygonum fusco-ochreatum,王崇书,2458,19580819,吉林省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/04205006x0030.jpg,,,,,,,,,, +,Polygonum fusco-ochreatum,王光正,1106,19510820,黑龙江省,0,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/76129.jpg,,,,,,,,,, +毛叶草血竭,Polygonum paleaceum var. pubifolium,蒋英,12435,19330000,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0422583.jpg,,,,,,,,,, +毛叶草血竭,Polygonum paleaceum var. pubifolium,俞德俊,12401,19370724,云南省,3200,ditch side,,有花无果,https://image.cvh.ac.cn/files/l/PE/00475368.jpg,,,,,,,,,, +毛叶草血竭,Polygonum paleaceum var. pubifolium,高信芬、郑臣臣,THP-KD-0729,20170606,四川,2220~2702,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242623.jpg,,,,,,,,,, +线叶蓼,Polygonum paronychioides,泛喜马拉雅植物志巴基斯坦采集队,FPH-0584,20120623,,1950,,,无花无果,https://image.cvh.ac.cn/files/l/PE/02004789.jpg,,,,,,,,,, +线叶蓼,Polygonum paronychioides,青藏队,12915,19760630,西藏自治区,3500,干旱 卵石 沙滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00513445.jpg,,,,,,,,,, +习见蓼,Polygonum plebeium,刘全儒、何毅、王丽华、黄春晓,HS049,20200728,河北,18m,湖岸边,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0054205.jpg,,,,,,,,,, +习见蓼,Polygonum plebeium,张娆挺、陈方和、陈四保,1583,19880508,福建,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU069729.jpg,,,,,,,,,, +习见蓼,Polygonum plebeium,张记军,蔡文峰,潘嘉文,LXP-13-17231,20160513,江西省吉安市,457,平地、壤土、路旁,陆生、草本、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00182728.jpg,,,,,,,,,, +,Polyura geminata,,,,,,,,,,,,,,,,,,, +圆锥白花叶,Poranopsis paniculata,"刘恩德,刘振稳,邹娇,王存花,陈志坚",LED10223,20201208,云南,1070,林缘,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1511189.jpg,,,,,,,,,, +,Portulaca oleracea,袁明,MY389,20080803,四川,1704,农田,,,https://image.cvh.ac.cn/files/l/KUN/1240139.jpg,,,,,,,,,, +马齿苋,Portulaca oleracea,Wuyi Exp.,241,19790814,福建省,700,村旁野地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240086.jpg,,,,,,,,,, +马齿苋,Portulaca oleracea,四明山,773,19580000,浙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240057.jpg,,,,,,,,,, +帘子藤,Pottsia laxiflora,唐忠炳,160825825,20160825,江西,,路边林下,,无花无果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0012175.jpg,,,,,,,,,, +帘子藤,Pottsia laxiflora,"Lei,C.I.",709,19330603,海南省,,"Rare;dryy level land,sandy soil,scattered shrubs",semi-woody,有花无果,https://image.cvh.ac.cn/files/l/AU/AU047520.jpg,,,,,,,,,, +帘子藤,Pottsia laxiflora,鹿寨县普查队,450223190627010LY,20190627,广西,216,阔叶林,林缘,石灰土,多;野生,藤本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00420761.jpg,,,,,,,,,, +,Premna barbata,,562,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0496346.jpg,,,,,,,,,, +,Premna bengalensis,,,,,,,,,,,,,,,,,,, +苞序豆腐柴,Premna bracteata,王洪,2909,19920600,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/061576.jpg,,,,,,,,,, +苞序豆腐柴,Premna bracteata,"李渤生,程树志",5252,19830624,西藏自治区,1800,常绿阔叶林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537333.jpg,,,,,,,,,, +苞序豆腐柴,Premna bracteata,E.M.Hu,11880A,,云南省 ,0~5000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0496348.jpg,,,,,,,,,, +,Premna coriacea,,,,,,,,,,,,,,,,,,, +千解草,Premna herbacea,卢洋,刘帆等六人,LiJ853,20110830,西藏,3427,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1386719.jpg,,,,,,,,,, +千解草,Premna herbacea,李显卿,2-0076,19780510,,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI042914.jpg,,,,,,,,,, +千解草,Premna herbacea,F.A.McClure,9260,19220423,海南省 ,,,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00218178.jpg,,,,,,,,,, +间序豆腐柴,Premna interrupta,陈少卿,4928,19440412,广西壮族自治区,0~500,,藤本平卧,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0496549.jpg,,,,,,,,,, +间序豆腐柴,Premna interrupta,姚玲玲,20181004,20180417,贵州省,570,路边林,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0028540.jpg,,,,,,,,,, +断序臭黄荆,Premna interrupta,包福书,991086,19990523,海南,820,路边,,有花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0008169.jpg,,,,,,,,,, +,Premna milleflora,,,,,,,,,,,,,,,,,,, +,Premna mollissima,,,,,,,,,,,,,,,,,,, +藤豆腐柴,Premna scandens,陶国达,9179,19770428,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/046860.jpg,,,,,,,,,, +藤豆腐柴,Premna scandens,,9506,19590000,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/046508.jpg,,,,,,,,,, +藤豆腐柴,Premna scandens,"张文富, 董金龙, 沐金海",ZhangWF004,20180810,云南,704,热带季节雨林,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1457469.jpg,,,,,,,,,, +伞序臭黄荆,Premna serratifolia,张寿洲,陈珍传,王国栋,闫斌等人,4450,20051010,广东省,0~50,海边,攀援藤本,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00048053.jpg,,,,,,,,,, +伞序臭黄荆,Premna serratifolia,陈锦祥,黄跃龙,3673,20141229,福建,201.3~43,盆栽,灌木,有花有果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0008250.jpg,,,,,,,,,, +,Premna serratifolia,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180585,20181106,Mon State,,,Tree,无花无果,https://image.cvh.ac.cn/files/l/KUN/1498744.jpg,,,,,,,,,, +三花盘果菊,Prenanthes brunoniana,山诺会,19980806,19980806,青海省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005504.jpg,,,,,,,,,, +三花盘果菊,Prenanthes brunoniana,魏来,郝加琛,15565,20150810,西藏自治区,2800,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0030398.jpg,,,,,,,,,, +,Prenanthes brunoniana,"李丙贵,万绍宾",5228,19751027,湖南省,700,山地 肥土 山谷 密林,,有花无果,https://image.cvh.ac.cn/files/l/PE/01766039.jpg,,,,,,,,,, +,Prenanthes maxcrophylla,,,,,,,,,,,,,,,,,,, +,Prenanthes sikkimensis,,,,,,,,,,,,,,,,,,, +,Prenanthes violaefolia,高信芬、涂卫国、何海、乔永康,7428,20030916,西藏自治区,3450,高山栎灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0196371.jpg,,,,,,,,,, +紫折瓣报春(四川新纪录),Primula advena var. euprepes,彭玉兰、张君议、杨焰,THP-KD-4260,20170714,四川,3876~4113,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243108.jpg,,,,,,,,,, +紫折瓣报春,Primula advena var. euprepes,冯国楣,23280,19590826,云南省,4000,石砾地陡坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187869.jpg,,,,,,,,,, +紫折瓣报春,Primula advena var. euprepes,王战,701,19510613,青海省,590,湿草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/188825.jpg,,,,,,,,,, +蔓茎报春,Primula agleniana,九龙队,147,19790623,四川,3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715702250.jpg,,,,,,,,,, +乳黄雪山报春,Primula agleniana,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 杨云珊, 杨永平",16CS14388,20161111,西藏,3772,高山灌丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1450665.jpg,,,,,,,,,, +乳黄雪山报春,Primula agleniana,和旭、白洪兵,533324180521325LY,20180521,云南,2794.2,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009322.jpg,,,,,,,,,, +杂色钟报春,Primula alpicola,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19296,20200702,西藏,3320,林间草坡,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489268.jpg,,,,,,,,,, +杂色钟报春,Primula alpicola,西藏生物所植物资源队,3308,19830724,西藏自治区,3850,Abies林内草甸中,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0005794.jpg,,,,,,,,,, +,Primula alpicola,"Kingdon Ward, F",5746,6-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00024714.jpg,,,,,,,,,, +短叶紫晶报春,Primula amethystina subsp. brevifolia,亚吉东,冯明建,李昌洪,20CS19067,20200703,云南,4386,高山草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505579.jpg,,,,,,,,,, +短叶紫晶报春,Primula amethystina subsp. brevifolia,Joseph F.Rock,24655,19320400,云南省 ,4500,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048621.jpg,,,,,,,,,, +短叶紫晶报春,Primula amethystina subsp. brevifolia,C.C.Wang,64648,19350700,四川省,3500,,herb,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00048076.jpg,,,,,,,,,, +,Primula arunachalensis,,,,,,,,,,,,,,,,,,, +,Primula assamica,,,,,,,,,,,,,,,,,,, +白心球花报春,Primula atrodentata,J.F.ROCK,5482,19230600,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/130237429.jpg,,,,,,,,,, +白心球花报春,Primula atrodentata,Yarlung Zangbo Expedition Team,雅鲁藏布考察队,[YANG Yong,,1562,20130515,西藏,2134,林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/246068.jpg,,,,,,,,,, +白心球花报春,Primula atrodentata,青藏补点,750082,19750831,西藏自治区,2900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/96924.jpg,,,,,,,,,, +,Primula bellidifolia,"Kingdon Ward, F",11800,26-Jun-35,,,,,,https://image.cvh.ac.cn/files/l/E/E00024548.jpg,,,,,,,,,, +菊叶穗花报春,Primula bellidifolia,袁帅,YS292,20130531,四川省,0~3696,路边、水沟边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0775976.jpg,,,,,,,,,, +菊叶穗花报春,Primula bellidifolia,Yuan Xu,Xul30232,20130813,西藏自治区,0~4099,山坡、石壁边,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769899.jpg,,,,,,,,,, +,Primula blandula,,,,,,,,,,,,,,,,,,, +叶苞脆蒴报春,Primula bracteosa,"H.Hara,H.Kanai,G.Murata,H.Ohashi,O.Tanaka & T.Yama",4395,19670409,,3000,On wet rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205473.jpg,,,,,,,,,, +珠峰垂花报春,Primula buryana,西藏中草药普查队,660,19720628,西藏自治区,4700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/29752.jpg,,,,,,,,,, +珠峰垂花报春,Primula buryana,Futoshi Miyamoto etc.,20210163,20020821,,4530,on alpine slopes,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264355.jpg,,,,,,,,,, +暗紫脆蒴报春,Primula calderiana,郭永杰,陶以军,李松强,20CS19238,20200503,西藏,3320,路边林下,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489150.jpg,,,,,,,,,, +暗紫脆蒴报春,Primula calderiana,罗建、汪书丽,LJQ-039,20110827,西藏自治区,0~4511,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280425.jpg,,,,,,,,,, +暗紫脆蒴报春,Primula calderiana,H.Ohashi etc.,11718,19670518,,3800,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187124.jpg,,,,,,,,,, +黛粉美花报春,Primula calliantha subsp. bryophila,王启无,68922,19350800,云南省,3700,mt.slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01106072.jpg,,,,,,,,,, +黛粉美花报春,Primula calliantha subsp. bryophila,陈立同、田新民,Ljq07251,20070922,西藏自治区,4680,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00002898.jpg,,,,,,,,,, +,Primula calliantha subsp. mishmiensis,,,,,,,,,,,,,,,,,,, +,Primula calthifolia,PE西藏考察队,7608,20180621,西藏自治区,3796~4100,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332491.jpg,,,,,,,,,, +头序报春,Primula capitata,方震东,1007,19880907,云南省,3700,高山针叶林带沟谷溪水边,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003360.jpg,,,,,,,,,, +无粉头序报春,Primula capitata,青藏队,10750,19820927,西藏自治区,3900~4000,山谷湿润草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01502217.jpg,,,,,,,,,, +头序报春,Primula capitata,H.Kanai etc.,8429,19670421,Samtengang,2500,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187185.jpg,,,,,,,,,, +黄粉头序报春,Primula capitata subsp. lacteocapitata,张林、李星月、张晓严,6月3日,20180609,西藏,4607,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023640.jpg,,,,,,,,,, +无粉头序报春,Primula capitata subsp. sphaerocephala,青藏队,10750,19820927,西藏自治区,3900~4000,山谷湿润草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01502217.jpg,,,,,,,,,, +,Primula capitata subsp. sphaerocephala,"Forrest, George",46,4-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00024083.jpg,,,,,,,,,, +无粉头序报春,Primula capitata subsp. sphaerocephala,方震东,1024,19880908,云南省,4100,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003359.jpg,,,,,,,,,, +,Primula caveana,,,,,,,,,,,,,,,,,,, +,Primula chamaethauma,俞德浚,19860,19380810,云南省,4000,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/484073.jpg,,,,,,,,,, +,Primula chamaethauma,T. T. Yu,19860,1938/8/10,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00073531.jpg,,,,,,,,,, +,Primula chionata var. violacea,,,,,,,,,,,,,,,,,,, +,Primula chumbiensis,Rhomoo Lepcha,317,12-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00024717.jpg,,,,,,,,,, +厚叶钟报春,Primula chumbiensis,郝刚、徐源等,120239,20120710,西藏自治区,0~4288,山坡、瀑布旁、流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769450.jpg,,,,,,,,,, +雅洁粉报春,Primula concinna,J.F.ROCK,9388,19230600,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/130237538.jpg,,,,,,,,,, +雅洁粉报春,Primula concinna,H.Kanai etc.,721866,19720823,,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/89697.jpg,,,,,,,,,, +雅洁粉报春,Primula concinna,青藏补点,750346,19750615,西藏自治区,4700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/50982.jpg,,,,,,,,,, +小脆蒴报春,Primula cunninghamii,"张永田,郞楷永",3120,19660503,西藏自治区,2700,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/00205621.jpg,,,,,,,,,, +球花报春,Primula denticulata,H.Hara etc.,4413,19670409,Samtengang,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187249.jpg,,,,,,,,,, +滇北球花报春,Primula denticulata,胡启明,8810,19880515,四川省,1950,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/008561.jpg,,,,,,,,,, +滇北球花报春,Primula denticulata,宋鼎;刘敏;张桥蓉,LS010,20190330,贵州,1762,路边林缘,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1553242.jpg,,,,,,,,,, +,Primula dickieana,"Forrest, George",21674,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00024378.jpg,,,,,,,,,, +展瓣紫晶报春,Primula dickieana,李红、白洪兵,533324180827473LY,20180827,云南,2876,,草本,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009350.jpg,,,,,,,,,, +展瓣紫晶报春,Primula dickieana,俞德浚,19768,19380807,云南省,3900,Alpine grassland,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187272.jpg,,,,,,,,,, +,Primula dryadifolia,T.T.Yu,12293,19370720,云南省,3700,rocky hill,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233803.jpg,,,,,,,,,, +翅柄岩报春,Primula dryadifolia,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19290,20200629,西藏,3772,高山流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489329.jpg,,,,,,,,,, +石岩报春,Primula dryadifolia,T.T.Tu,12293,,云南省 ,3700,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00093961.jpg,,,,,,,,,, +翅柄岩报春,Primula dryadifolia subsp. jonardunii,生物研究所西藏考察队,1385,19730815,西藏自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/38360.jpg,,,,,,,,,, +翅柄岩报春,Primula dryadifolia subsp. jonardunii,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19290,20200629,西藏,3772,高山流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489329.jpg,,,,,,,,,, +乳白垂花报春,Primula eburnea,gorz,,19180500,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/130237684.jpg,,,,,,,,,, +,Primula elizabethiae,,,,,,,,,,,,,,,,,,, +黄齿雪山报春,Primula elongata,郝刚、徐源等,120254,20120710,西藏自治区,0~3850,林缘,草本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0769401.jpg,,,,,,,,,, +,Primula elongata var. barnardoana,,,,,,,,,,,,,,,,,,, +黄心球花报春,Primula erythrocarpa,郝刚、徐源等,120251,20120710,西藏自治区,0~3650,路边、林缘,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0769421.jpg,,,,,,,,,, +,Primula erythrocarpa,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13607,2-May-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00024818.jpg,,,,,,,,,, +,Primula falcifolia var. farinifera,,,,,,,,,,,,,,,,,,, +,Primula filipes,,,,,,,,,,,,,,,,,,, +,Primula firmipes,"Forrest, George",18874,19-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00024348.jpg,,,,,,,,,, +葶立钟报春,Primula firmipes,赵清盛 刘近生 吕发强,5840,19780704,四川,1750,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0002251.jpg,,,,,,,,,, +莛立钟报春,Primula firmipes,T.T.Tu,2314,19330715,四川省,3350,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00093773.jpg,,,,,,,,,, +长蒴圆叶报春,Primula gambeliana,H.Kanai etc.,723015,1972,,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187588.jpg,,,,,,,,,, +长蒴圆叶报春,Primula gambeliana,西藏中草药普查队,4369,19720823,西藏自治区,4800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/33048.jpg,,,,,,,,,, +厚叶苞芽报春,Primula gemmifera var. amoena,鞠文彬,郑臣臣,THP-KD-6465,20170818,四川省,3629,日乌且到电站草地灌丛,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251231.jpg,,,,,,,,,, +厚叶苞芽报春,Primula gemmifera var. amoena,海仙,LCJ-323,20110821,云南省,4557,大雪山湖边,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001859.jpg,,,,,,,,,, +厚叶苞芽报春,Primula gemmifera var. amoena,Joseph F.Rock,22787,19320500,云南省 ,4500,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00049276.jpg,,,,,,,,,, +滇藏掌叶报春,Primula geraniifolia,H.Ohashi etc.,8571036,19850801,Topke Gola,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187619.jpg,,,,,,,,,, +滇藏掌叶报春,Primula geraniifolia,余岩、吴奕辰,2020464,20200715,四川,4317,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02020464.jpg,,,,,,,,,, +滇藏掌叶报春,Primula geraniifolia,H.Kanai etc.,720,19670530,Samtengang,2900,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187620.jpg,,,,,,,,,, +,Primula glabra,"Smith, Karl August Harald",3266,21-Jul-22,,,,,,https://image.cvh.ac.cn/files/l/E/E00024157.jpg,,,,,,,,,, +光叶粉报春,Primula glabra,央珍,20024263,20020426,西藏自治区,4100,,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0005792.jpg,,,,,,,,,, +光叶粉报春,Primula glabra,H.Hara etc.,11464,19670519,Samtengang,4700,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187621.jpg,,,,,,,,,, +,Primula glabra subsp. genestieriana,"Kingdon Ward, F",5836,24-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00024469.jpg,,,,,,,,,, +立花头序报春,Primula glomerata,毛康珊、任广朋、邹嘉宾,LiuJQ-116,20110921,西藏自治区,0~3852,温带山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0283749.jpg,,,,,,,,,, +立花头序报春,Primula glomerata,武素功,8581257,19850831,Topke Gola,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187622.jpg,,,,,,,,,, +立花头序报春,Primula glomerata,H.Ohashi etc.,775167,19770817,,4100,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187625.jpg,,,,,,,,,, +纤柄脆蒴报春,Primula gracilipes,青藏队,5493,19750604,西藏自治区,3550,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/48688.jpg,,,,,,,,,, +纤柄脆蒴报春,Primula gracilipes,H.Hara etc.,12629,19670514,,3200,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187628.jpg,,,,,,,,,, +高葶脆蒴报春,Primula griffithii,H.Hara etc.,6080,19670525,,3300,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187629.jpg,,,,,,,,,, +小苞报春,Primula henrici,张林、李星月、张晓严,6月1日,20180610,西藏,4093,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023616.jpg,,,,,,,,,, +,Primula henrici,"T.Naito,K.Y.Lang,Y.Tateishi,T.Nemoto & B.S.Li",705,19860507,西藏自治区,3500,On rock wall,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205471.jpg,,,,,,,,,, +,Primula henrici,"Orléans, H. d'",,,,,,,,https://image.cvh.ac.cn/files/l/P/P00649657.jpg,,,,,,,,,, +报春花属,Primula hookeri,杨增宏,81-0183,19810422,云南省,1800,杂木林中,岩石上坡地阴湿处,,,https://image.cvh.ac.cn/files/l/KUN/1271574.jpg,,,,,,,,,, +春花脆蒴报春,Primula hookeri,Joseph F.Rock,21932,19320500,四川省,5000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048825.jpg,,,,,,,,,, +春花脆蒴报春,Primula hookeri,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19292,20200629,西藏,3680,林下,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1489327.jpg,,,,,,,,,, +,Primula hookeri var. violacea,"Ludlow, F & Sherriff, G",1734,30-May-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024656.jpg,,,,,,,,,, +,Primula irregularis,,,,,,,,,,,,,,,,,,, +,Primula jigmediana,,,,,,,,,,,,,,,,,,, +,Primula kingii,,,,,,,,,,,,,,,,,,, +,Primula klattii,,,,,,,,,,,,,,,,,,, +,Primula lacerata,,,,,,,,,,,,,,,,,,, +,Primula listeri,,,,,,,,,,,,,,,,,,, +黄粉大叶报春,Primula macrophylla,王辰,LZ055,20120711,西藏,4100,,,,https://image.cvh.ac.cn/files/l/BNU/0014120.jpg,,,,,,,,,, +,Primula macrophylla,"Kingdon Ward, F",5745,6-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00024568.jpg,,,,,,,,,, +长苞大叶报春,Primula macrophylla,西藏考察队,3188,19740616,新疆维吾尔自治区,4700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/88544.jpg,,,,,,,,,, +黄粉大叶报春,Primula macrophylla var. atra,王辰,LZ055,20120711,西藏,4100,,,,https://image.cvh.ac.cn/files/l/BNU/0014120.jpg,,,,,,,,,, +黄粉大叶报春,Primula macrophylla var. atra,郝刚、徐源等,120207,20120704,西藏自治区,0~4366,路边、林缘、草地,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769406.jpg,,,,,,,,,, +黄粉大叶报春,Primula macrophylla var. atra,郝刚、徐源等,120168,20120629,四川省,0~4606,山坡石砾,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769381.jpg,,,,,,,,,, +川东灯台报春,Primula mallophylla,,71-457,19711104,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM715702504.jpg,,,,,,,,,, +川东灯台报春,Primula mallophylla,杨毅;李娜;邹洪;卢圣鄂,IMPCYY001,20180903,重庆,2271,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1554769.jpg,,,,,,,,,, +川东灯台报春,Primula mallophylla,张经炜,2455,19610522,西藏自治区,4100,亚高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00205939.jpg,,,,,,,,,, +,Primula medogensis,,,,,,,,,,,,,,,,,,, +,Primula megalocarpa,青藏队补点组,750753,19750725,西藏自治区,4900,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01947790.jpg,,,,,,,,,, +高峰小报春,Primula minutissima,吴征缢、陈书坤、杜庆、庐树林,75-950,19750718,西藏自治区,4300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/53973.jpg,,,,,,,,,, +,Primula munroi,"李安仁,朱家楠",7358,19580620,新疆维吾尔自治区,2100,山谷中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946550.jpg,,,,,,,,,, +,Primula munroi,Yuan Xu,Xu130065,20130530,云南省 ,0,河边、疏林下、沼泽地,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769953.jpg,,,,,,,,,, +,Primula munroi,"程树志,李渤生",625,19820905,西藏自治区,3500~3800,冷杉林缘灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01935664.jpg,,,,,,,,,, +,Primula munroi subsp. yargongensis,"李安仁,朱家楠",7358,19580620,新疆维吾尔自治区,2100,山谷中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946550.jpg,,,,,,,,,, +,Primula munroi subsp. yargongensis,四川省植被调查队,1746,19730607,四川省,3880,河漫滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01935431.jpg,,,,,,,,,, +,Primula munroi subsp. yargongensis,"程树志,李渤生",625,19820905,西藏自治区,3500~3800,冷杉林缘灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01935665.jpg,,,,,,,,,, +苔状小报春,Primula muscoides,T.T.Yu,6568,19370622,四川省,3500,side of mt. stream,,有花无果,https://image.cvh.ac.cn/files/l/PE/01946872.jpg,,,,,,,,,, +,Primula nana,,,,,,,,,,,,,,,,,,, +报春花属,Primula nutans,李帅等,20167434,20160725,西藏自治区,4374,草甸,草本,,https://image.cvh.ac.cn/files/l/BNU/0030920.jpg,,,,,,,,,, +天山报春,Primula nutans,洛阳林场,,19570803,陕西省,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00049359.jpg,,,,,,,,,, +少花报春,Primula nutans,塔里木大学资源调查组,Li2J0227,20080729,新疆,4223米,山前溪流边,草本,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU01006.jpg,,,,,,,,,, +斜花雪山报春,Primula obliqua,H.Ohba etc.,8530300,19850719,,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187922.jpg,,,,,,,,,, +斜花雪山报春,Primula obliqua,青藏补点,750244,19750606,西藏自治区,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/50880.jpg,,,,,,,,,, +斜花雪山报春,Primula obliqua,"张挺, 刘成, 亚吉东",18CS17701,20180916,西藏,3960,路上方山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487397.jpg,,,,,,,,,, +,Primula obtusifolia,Y.Yabe,,19100300,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00049406.jpg,,,,,,,,,, +,Primula petiolaris,"Y.S.Chen,Z.Y.Chang et al.",13-1518,20130818,西藏自治区,,灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000719.jpg,,,,,,,,,, +,Primula polonensis,,,,,,,,,,,,,,,,,,, +小花灯台报春,Primula prenantha,"李渤生,程树志",5197,19830623,西藏自治区,2400,林间沼泽草甸时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495865.jpg,,,,,,,,,, +朗贡灯台报春,Primula prenantha,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19287,20200629,西藏,3810,草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489331.jpg,,,,,,,,,, +小花灯台报春,Primula prenantha,俞德浚,19313,19380711,云南省,3500,Margin of hododendron-Bamboo thicket,,有花无果,https://image.cvh.ac.cn/files/l/KUN/188492.jpg,,,,,,,,,, +朗贡灯台报春,Primula prenantha subsp. morsheadiana,西藏中草药普查队,3184,19720603,西藏自治区,3500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/82114.jpg,,,,,,,,,, +朗贡灯台报春,Primula prenantha subsp. morsheadiana,郭永杰,李春姣,李涟漪,张凤琼,李松强,20CS19287,20200629,西藏,3810,草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489331.jpg,,,,,,,,,, +球毛小报春,Primula primulina,张林、李星月、张晓严,2-106,20180611,西藏,3122,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023596.jpg,,,,,,,,,, +球毛小报春,Primula primulina,H.Ohba etc.,8580584,19850730,Topke Gola,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/188476.jpg,,,,,,,,,, +球毛小报春,Primula primulina,魏来,郝加琛,15343,20150728,西藏自治区,3977,路边山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0030416.jpg,,,,,,,,,, +柔小粉报春,Primula pumilio,J.F.Rock,12406,19250600,甘肃省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00049516.jpg,,,,,,,,,, +柔小粉报春,Primula pumilio,费勇,孙航,李德铢,551,19900826,西藏,4600,on grassland by river,,有花无果,https://image.cvh.ac.cn/files/l/KUN/236381.jpg,,,,,,,,,, +柔小粉报春,Primula pumilio,,3314,19610530,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00087592.jpg,,,,,,,,,, +网叶钟报春,Primula reticulata,H.Kanai etc.,723023,19720622,,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/188555.jpg,,,,,,,,,, +网叶钟报春,Primula reticulata,青藏队,5909,19750626,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/49968.jpg,,,,,,,,,, +网叶钟报春,Primula reticulata,H.Ohba etc.,8580215,19850709,Topke Gola,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/188548.jpg,,,,,,,,,, +,Primula rhodochroa,"Ludlow, Frank: Sherriff, George & Taylor, George",5218,12-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00288474.jpg,,,,,,,,,, +密丛小报春,Primula rhodochroa,青藏队植被组,6468,19750607,西藏自治区,4100,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061331.jpg,,,,,,,,,, +,Primula rhodochroa var. geraldinae,"Ludlow, Sherriff & Taylor",3640,24-Apr-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00024493.jpg,,,,,,,,,, +,Primula rotundifolia,,,,,,,,,,,,,,,,,,, +小垂花报春,Primula sapphirina,郝刚、徐源等,120261,20120712,西藏自治区,0~4300,山坡、岩石上、苔藓中,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769413.jpg,,,,,,,,,, +葶花脆蒴报春,Primula scapigera,杨斌,陈洪梁,YangBChen-318,20140526,云南省,2200~3000,林下有苔藓的地方,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1249579.jpg,,,,,,,,,, +葶花脆蒴报春,Primula scapigera,中日考察队,T310,19900605,西藏自治区,3000,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00088074.jpg,,,,,,,,,, +葶花脆蒴报春,Primula scapigera,H.Hara etc.,5042,19600607,,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/188619.jpg,,,,,,,,,, +,Primula septemloba var. minor,,,,,,,,,,,,,,,,,,, +,Primula serratifolia,"Forrest, George",1816,6-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00024076.jpg,,,,,,,,,, +齿叶灯台报春,Primula serratifolia,,904,19790719,四川,4000,,草本,有花有果,https://image.cvh.ac.cn/files/l/SM/SM715703007.jpg,,,,,,,,,, +齿叶灯台报春,Primula serratifolia,张林、李星月、张晓严,5月2日,20180610,西藏,3797,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023619.jpg,,,,,,,,,, +,Primula sessilis,,,,,,,,,,,,,,,,,,, +,Primula sherriffiae,,,,,,,,,,,,,,,,,,, +虎克锡金报春,Primula sikkimensis,,,19630616,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/074716.jpg,,,,,,,,,, +钟花报春,Primula sikkimensis,H.Ohba etc.,8580250,19850711,Topke Gola,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/189045.jpg,,,,,,,,,, +小钟花报春,Primula sikkimensis,T.T.Tu,12110,,云南省 ,3500,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00093788.jpg,,,,,,,,,, +贡山紫晶报春,Primula silaensis,J.F.Rock,10078,19230700,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00098128.jpg,,,,,,,,,, +贡山紫晶报春,Primula silaensis,李红、李磊、和凤光、史效武,BG-08,20091022,云南省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006252.jpg,,,,,,,,,, +贡山紫晶报春,Primula silaensis,Wang,65747,19350800,西藏自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00049546.jpg,,,,,,,,,, +亚东灯台报春,Primula smithiana,Yuan Xu,Xu130269,20130823,西藏自治区,0,路旁山坡湿润处,草本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0768842.jpg,,,,,,,,,, +亚东灯台报春,Primula smithiana,郭永杰,左政裕,20CS19715,20200717,西藏,3233,高山灌草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489489.jpg,,,,,,,,,, +金黄脆蒴报春,Primula strumosa,生物研究所西藏考察队,1806,19730807,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/39002.jpg,,,,,,,,,, +金黄脆蒴报春,Primula strumosa,H.Kanai等,723028,19720615,,0,,,无花有果,https://image.cvh.ac.cn/files/l/N/130237376.jpg,,,,,,,,,, +矩圆金黄报春,Primula strumosa subsp. tenuipes,西藏中草药普查队,339,19720617,西藏自治区,3700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/30103.jpg,,,,,,,,,, +,Primula stuartii,"张永田,郞楷永",3582,19660520,西藏自治区,3950,山坡灌丛下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101295.jpg,,,,,,,,,, +,Primula stuartii,B.Krishna,2062,1982.5.7,-,4500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0020527.jpg,,,,,,,,,, +,Primula stuartii,Anonymous,3912,19750610,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02061465.jpg,,,,,,,,,, +黄甘青报春,Primula tangutica var. flavescens,王为义等,386,19850618,青海省,3950,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/109772.jpg,,,,,,,,,, +黄甘青报春,Primula tangutica var. flavescens,青藏补点,751041,19750802,西藏自治区,4510,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/96426.jpg,,,,,,,,,, +黄甘青报春,Primula tangutica var. flavescens,刘尚武,3799,19900612,甘肃省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/160056.jpg,,,,,,,,,, +心叶脆蒴报春,Primula tanneri,H.Ohba etc.,8580192,19850707,Topke Gola,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/189318.jpg,,,,,,,,,, +心叶脆蒴报春,Primula tanneri,H.Hara H.Kanai G.Murata et al,5459,19670526,,3200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01672866.jpg,,,,,,,,,, +心叶脆蒴报春,Primula tanneri,H.Hara etc.,5463,19670526,Kochi,3200,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/189319.jpg,,,,,,,,,, +,Primula tenella,"King, G.",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00024523.jpg,,,,,,,,,, +匍茎小报春,Primula tenella,郝刚、徐源等,120237,20120709,西藏自治区,0~4276,山坡岩石壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0769340.jpg,,,,,,,,,, +细裂小报春,Primula tenuiloba,H.Kanai etc.,723010,19720627,Kochi,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/189322.jpg,,,,,,,,,, +西藏报春,Primula tibetica,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳键,9月25日,20180827,西藏,4447.5,湖岸湿地,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0194068.jpg,,,,,,,,,, +西藏报春,Primula tibetica,Y.Iokawa etc.,20320164,20030704,,4380,on sunny damp grassland on E.facing gentle slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264667.jpg,,,,,,,,,, +西藏报春,Primula tibetica,H.Hara etc.,7541,19670521,Kochi,3600,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/189320.jpg,,,,,,,,,, +,Primula tsariensis,,76-410,19760720,西藏自治区,,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947439.jpg,,,,,,,,,, +,Primula tsariensis,"Ludlow, F. & Sherriff, G.",1711,20-May-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024691.jpg,,,,,,,,,, +,Primula tsariensis var. porrecta,"Ludlow, F. & Sherriff, G.",2196,22-Jun-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00024694.jpg,,,,,,,,,, +圆叶报春(亚种),Primula vaginata,李红、白洪兵,533324180521326LY,20180521,云南,2794.2,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009276.jpg,,,,,,,,,, +圆叶报春,Primula vaginata,J.F.Rock,21956,193206,四川,4950,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/187381.jpg,,,,,,,,,, +圆叶报春,Primula vaginata,独龙江考察队,7048,19910522,云南省,2900,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/189417.jpg,,,,,,,,,, +圆叶报春,Primula vaginata subsp. eucyclia,独龙江考察队,7048,19910522,云南省,2900,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/189417.jpg,,,,,,,,,, +圆叶报春(亚种),Primula vaginata subsp. eucyclia,方震东、方晔,HP-1357,20180427,云南,2679,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009608.jpg,,,,,,,,,, +圆叶鞘柄报春,Primula vaginata subsp. eucyclia,Joseph F.Rock,21958,19320500,西藏自治区,5000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00049656.jpg,,,,,,,,,, +短梗鞘柄报春,Primula vaginata subsp. normaniana,Yuan Xu,Xu130155,20130611,西藏自治区,0,路旁冷杉林下,草本,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0768809.jpg,,,,,,,,,, +暗红紫晶报春,Primula valentiniana,"李渤生,程树志",5371,19830704,西藏自治区,4100,高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01947409.jpg,,,,,,,,,, +暗红紫晶报春,Primula valentiniana,Yarlung Zangbo Expedition Team,雅鲁藏布考察队,[YANG Yong,,353,20120730,西藏,3896,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/246028.jpg,,,,,,,,,, +暗红紫晶报春,Primula valentiniana,冯国楣,7617,19400909,云南省,3500~3300,草地上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/189429.jpg,,,,,,,,,, +,Primula waddellii,"Waddell, Laurence Austine",78,June 1891,,,,,,https://image.cvh.ac.cn/files/l/E/E00024526.jpg,,,,,,,,,, +腺毛小报春,Primula walshii,H.Hara etc.,21906,19670517,Kochi,3650,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/189328.jpg,,,,,,,,,, +,Primula walshii,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-156-B28,20190827,四川,4512,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260865.jpg,,,,,,,,,, +腺毛小报春,Primula walshii,钟补求,5716,,西藏自治区,3850,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00049669.jpg,,,,,,,,,, +,Primula waltonii,"Walton, H.J.",s.n.,4-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00024732.jpg,,,,,,,,,, +紫钟报春(四川新纪录),Primula waltonii,彭玉兰、张君议、杨焰,THP-KD-4316,20170714,四川,3876~4113,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0243104.jpg,,,,,,,,,, +紫钟报春,Primula waltonii,毛康珊、任广朋、邹嘉宾,LiuJQ-128,20110924,西藏自治区,0~3626,温带湿润河滩地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0283756.jpg,,,,,,,,,, +鹃林脆蒴报春,Primula whitei,青藏补点,750246,19750606,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/96655.jpg,,,,,,,,,, +鹃林脆蒴报春,Primula whitei,青藏科考队,11781,19760609,云南省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/62122.jpg,,,,,,,,,, +钟状垂花报春,Primula wollastonii,郭先林、郑宏一,2041146,20200720,四川,4862,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02041146.jpg,,,,,,,,,, +钟状垂花报春,Primula wollastonii,H.Ohba etc.,8570626,19850721,Topke Gola,0,on grassy steep slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/189329.jpg,,,,,,,,,, +钟状垂花报春,Primula wollastonii,西藏中草药普查队,654,19720628,西藏自治区,4600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0212651.jpg,,,,,,,,,, +硬毛夏枯草,Prunella hispida,陈耀东等,89030,19890622,重庆市,1800,山间平地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00832801.jpg,,,,,,,,,, +硬毛夏枯草,Prunella hispida,西藏中草药普查队,3432,19720617,西藏自治区,2300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/30586.jpg,,,,,,,,,, +硬毛夏枯草,Prunella hispida,易思荣,YiSR165,20100615,重庆,1168,林缘路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1389582.jpg,,,,,,,,,, +夏枯草,Prunella vulgaris,赵万义,许可旺,刘忠成,叶矾,王晓阳,LXP-13-13082,20150610,江西省赣州市,,山谷、壤土、疏林,陆生、草本、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00176962.jpg,,,,,,,,,, +夏枯草,Prunella vulgaris,李宏庆等,SDP02676,20110616,上海市,,植物园,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0061954.jpg,,,,,,,,,, +夏枯草,Prunella vulgaris,李攀,LP1007187,20100727,North Carolina,1040,林缘路边,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0091729.jpg,,,,,,,,,, +金铁锁,Psammosilene tunicoides,倪志诚,汪永泽,次旦、次多,1017,19800813,西藏,2600,山坡高山松林伐木迹地,,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0001501.jpg,,,,,,,,,, +金铁锁,Psammosilene tunicoides,"张永田,郞楷永",1077,19650728,西藏自治区,3040,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01187847.jpg,,,,,,,,,, +金铁锁,Psammosilene tunicoides,蔡佩英,贵-0045,19781107,贵州,1500,植物园栽培,,无花有果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0000419.jpg,,,,,,,,,, +,Pseuderanthemum arunachalense,,,,,,,,,,,,,,,,,,, +山壳骨,Pseuderanthemum latifolium,徐闻队,187,19540000,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00055952.jpg,,,,,,,,,, +山壳骨,Pseuderanthemum latifolium,"Fung,H.",20012,19320426,海南省,,,Semi-woody,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00245017.jpg,,,,,,,,,, +山壳骨,Pseuderanthemum latifolium,勐海普查队,5328220072,20120424,云南省,1541,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0021041.jpg,,,,,,,,,, +,Pseuderanthemum leptanthus,,,,,,,,,,,,,,,,,,, +多花山壳骨,Pseuderanthemum polyanthum,闫丽春,C090046,20190214,云南,570,,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030740.jpg,,,,,,,,,, +多花山壳骨,Pseuderanthemum polyanthum,滕建北、朱意麟、甘日呈、方铄英、骆立稍、梁霞,450122121207029LY,20121207,广西壮族自治区,191,针阔叶混交林,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0145775.jpg,,,,,,,,,, +多花山壳骨,Pseuderanthemum polyanthum,刘恩德等,2391,20100329,云南省 ,1030,"forest margin, in thickets",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1217477.jpg,,,,,,,,,, +,Pseudocaryopteris bicolor,,,,,,,,,,,,,,,,,,, +,Pseudocaryopteris paniculata,,,,,,,,,,,,,,,,,,, +,Pseudocodon convolvulaceus,,137,19410918,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01252410.jpg,,,,,,,,,, +,Pseudocodon convolvulaceus,安顺队,1437,19590908,贵州省,1200,山脚,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056862.jpg,,,,,,,,,, +,Pseudocodon convolvulaceus,R.C.Ching,21314,19390817,云南省,,"On tree trunks,by streams",,有花无果,https://image.cvh.ac.cn/files/l/PE/01241956.jpg,,,,,,,,,, +松叶鸡蛋参,Pseudocodon graminifolius,高信芬、彭玉兰、孙庚,4095,20020927,四川省,1700,公路旁坡地,草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0181074.jpg,,,,,,,,,, +,Pseudocodon graminifolius,"杨亲二,袁琼",Yangqe2559,20080911,云南省,3500,林间草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056759.jpg,,,,,,,,,, +,Pseudocodon graminifolius,高信芬、彭玉兰、孙庚,3766,20020921,四川,2250,云南松林下,藤本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0181075.jpg,,,,,,,,,, +,Pseudocodon grey-wilsonii,,,,,,,,,,,,,,,,,,, +鸡蛋参,Pseudocodon vinciflorus,高信芬、涂卫国、何海、乔永康,7301,20030912,西藏自治区,3000,路边灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0181081.jpg,,,,,,,,,, +,Pseudocodon vinciflorus,"王利松,叶建飞",129,20090807,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02056483.jpg,,,,,,,,,, +,Pseudocodon vinciflorus subsp. dianchuanicus,,,,,,,,,,,,,,,,,,, +,Pseudogalium paradoxum,,,,,,,,,,,,,,,,,,, +宽叶拟鼠曲草,Pseudognaphalium adnatum,胡君,熊豫宁,陈庆恒,王东超,HJ05304,20151016,西藏自治区,1400,山顶,公路旁,草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00599690.jpg,,,,,,,,,, +宽叶拟鼠曲草,Pseudognaphalium adnatum,钟鑫、张庆费、易逸瑜、杨子欣、马宏燏、安齐,ZX04227,20171027,浙江,628.38,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0151481.jpg,,,,,,,,,, +宽叶拟鼠麹草,Pseudognaphalium adnatum,江明喜,杨筑筑,周天阳,杨腾,920,20200918,湖南,603,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0204652.jpg,,,,,,,,,, +拟鼠曲草,Pseudognaphalium affine,孟原正,117,20210716,福建,190,草坪,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU090732.jpg,,,,,,,,,, +拟鼠麴草,Pseudognaphalium affine,陈井艳,201813007,20180417,贵州省,541,山坡,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0019919.jpg,,,,,,,,,, +拟鼠麴草,Pseudognaphalium affine,张代贵,pph0079,20150613,湖南湘西州,,山坡,一或二年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU26252.jpg,,,,,,,,,, +水蔓菁,Pseudolysimachion linariifolium subsp. dilatatum,T.N.Liou & P.C.Tsoong,3000,1935/8/24,安徽,400,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0013997.jpg,,,,,,,,,, +水蔓菁,Pseudolysimachion linariifolium subsp. dilatatum,毛品一,2040,1952/12/20,云南省,1600,,草本直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0245855.jpg,,,,,,,,,, +水蔓菁,Pseudolysimachion linariifolium subsp. dilatatum,熊豫宁,马振秀,董晓宇,5799,20121102,江苏省,,山坡草丛,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00598020.jpg,,,,,,,,,, +蔓孩儿参,Pseudostellaria davidii,"孙阎, 张兰兰",SunY279,20160605,黑龙江,470,杂木林下,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1456938.jpg,,,,,,,,,, +蔓孩儿参,Pseudostellaria davidii,余奇、熊先华、李琳霖,THP-KD-4802,20170813,四川,3177~3217,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250265.jpg,,,,,,,,,, +,Pseudostellaria davidii,K. Yao,9897,19860529,安徽,,"in humid and shady places,under the forest",herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00611704.jpg,,,,,,,,,, +异花假繁缕,Pseudostellaria heterantha,W.Y.Hsia & C.H.Wang,111,19370502,陕西省,,in shade,,有花无果,https://image.cvh.ac.cn/files/l/PE/00603256.jpg,,,,,,,,,, +异花孩儿参,Pseudostellaria heterantha,贺贤育,22684,19570509,浙江省,890,,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00309623.jpg,,,,,,,,,, +异花孩儿参,Pseudostellaria heterantha,杨金祥,825,1959/6/6,陕西省 ,2600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0409997.jpg,,,,,,,,,, +须弥孩儿参,Pseudostellaria himalaica,果洛队,625,19710830,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/25699.jpg,,,,,,,,,, +须弥孩儿参,Pseudostellaria himalaica,王辰,,20110623,西藏,,草甸,,,https://image.cvh.ac.cn/files/l/BNU/0016827.jpg,,,,,,,,,, +异花孩子参,Pseudostellaria himalaica,,136,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/065157.jpg,,,,,,,,,, +细叶孩儿参,Pseudostellaria sylvatica,,13435,19620626,山东,1400,大坑,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0045168.jpg,,,,,,,,,, +细叶孩儿参,Pseudostellaria sylvatica,彭玉兰、余奇、李林霖,THP-KD-1178,20170614,四川,3091,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0255171.jpg,,,,,,,,,, +细叶孩儿参,Pseudostellaria sylvatica,张玉钧、刘旺旺,183,19900519,北京,1500,阴坡林下,草本,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00039954.jpg,,,,,,,,,, +林地苋,Psilotrichum ferrugineum,"Tsang,Wai-Tak",15814,19270704,海南省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00160200.jpg,,,,,,,,,, +海南林地苋,Psilotrichum ferrugineum,陈伟球,177,19580606,广东省,130,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0191247.jpg,,,,,,,,,, +,Psilotrichum ferrugineum,白绍斌,XPALSC249,20090417,云南,1600,院场内,攀援草本,,https://image.cvh.ac.cn/files/l/KUN/1246071.jpg,,,,,,,,,, +,Psychotria aborensis,,,,,,,,,,,,,,,,,,, +,Psychotria adenophylla,S.Sawangsawat,85,20081017,,,In dry evergreen forest,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0002776.jpg,,,,,,,,,, +,Psychotria burkillii,,,,,,,,,,,,,,,,,,, +美果九节,Psychotria calocarpa,R.E.Holttum,20705,19280819,,,,,无花有果,https://image.cvh.ac.cn/files/l/AU/AU049180.jpg,,,,,,,,,, +美果九节,Psychotria calocarpa,吴磊,4804,20140607,云南省,1500~1550,山谷密林,灌木,有花无果,https://image.cvh.ac.cn/files/l/BNU/0029877.jpg,,,,,,,,,, +美果九节,Psychotria calocarpa,H.T.Tsai,56852,19330208,云南省 ,1750,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0476084.jpg,,,,,,,,,, +,Psychotria denticulata,"程树志,李渤生",4544,19830507,西藏自治区,1100~800,Alnus Ficus林下多见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468264.jpg,,,,,,,,,, +西藏九节,Psychotria erratica,G.Forrest,26114,19241200,云南省,3333~3667,Margins of thickets in side valleys,,有花有果,https://image.cvh.ac.cn/files/l/PE/00808376.jpg,,,,,,,,,, +西藏九节,Psychotria erratica,农东新、彭玉德、李金花,451026150527003LY,20150527,广西壮族自治区,,阔叶林、林下、石灰土,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0109366.jpg,,,,,,,,,, +西藏九节,Psychotria erratica,"程树志,李渤生",3313,19821208,西藏自治区,1500,林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01468258.jpg,,,,,,,,,, +,Psychotria monticola,,,,,,,,,,,,,,,,,,, +,Psychotria silhetensis,,,,,,,,,,,,,,,,,,, +云南九节,Psychotria yunnanensis,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11979,20161119,西藏,771,林下小路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445192.jpg,,,,,,,,,, +云南九节,Psychotria yunnanensis,T.T.Yu,16312,19380616,云南省 ,1900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0508749.jpg,,,,,,,,,, +云南九节,Psychotria yunnanensis,叙永队,230,19770702,四川,500,,乔木,有花无果,https://image.cvh.ac.cn/files/l/SM/SM718501809.jpg,,,,,,,,,, +藏寒蓬,Psychrogeton poncinsii,"李渤生,郑度,张百平",10601,19870710,新疆维吾尔自治区,4200~4400,高山 草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01295263.jpg,,,,,,,,,, +藏寒蓬,Psychrogeton poncinsii,西植新疆队,1010,19780705,新疆,3600,平草滩草甸草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825669.jpg,,,,,,,,,, +藏寒蓬,Psychrogeton poncinsii,生物研究所西藏考察队,3149,1974615,,3700,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022111.jpg,,,,,,,,,, +倒卵叶假鱼骨木,Psydrax dicocca,王国栋,龙秀赟,潘新宇,蒋露,7987,20061209,广东省,150~200,山地密林,灌木,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00045713.jpg,,,,,,,,,, +假鱼骨木,Psydrax dicocca,徐克学,13065,20050626,香港,,,,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00046014.jpg,,,,,,,,,, +假鱼骨木,Psydrax dicocca,凌云普查队,4.51E+14,20130606,广西壮族自治区,970,阔叶林,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0141024.jpg,,,,,,,,,, +宽叶散血芹,Pternopetalum botrychioides,余磊,L00609,20060524,四川省,1800,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/004155.jpg,,,,,,,,,, +散血芹,Pternopetalum botrychioides,,,,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00028944.jpg,,,,,,,,,, +散血芹,Pternopetalum botrychioides,白水江考察队,1008,20060704,甘肃,1560,河谷山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01827812.jpg,,,,,,,,,, +心果囊瓣芹,Pternopetalum cardiocarpum,林业部林业科学研究所标本室,,1955,云南,,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00029174.jpg,,,,,,,,,, +心果囊瓣芹,Pternopetalum cardiocarpum,和炳先,78,19860802,云南省 ,3300,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00034663.jpg,,,,,,,,,, +心果囊瓣芹,Pternopetalum cardiocarpum,俞德浚,15269,19370705,新缰,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/462616.jpg,,,,,,,,,, +澜沧囊瓣芹,Pternopetalum delavayi,高云东,邓亨宁,黎怀成,THP-KD-2180,20170805,四川,3600-4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242316.jpg,,,,,,,,,, +囊瓣芹属,Pternopetalum delavayi,倪志诚 次多 次旦 廖世荣,2286,19810916,西藏,2400,山坡杂木林林下,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0005046.jpg,,,,,,,,,, +澜沧囊瓣芹,Pternopetalum delavayi,傅坤俊,14258,1962/9/8,陕西,2950,,草本直立,无花无果,https://image.cvh.ac.cn/files/l/WUK/0185501.jpg,,,,,,,,,, +,Pternopetalum delicatulum,李小杰,LiXJ441,20130625,四川省,2669,冷杉林缘,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337125.jpg,,,,,,,,,, +,Pternopetalum filicinum,路、崔、张,200108,20010800,青海省,3300,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00014257.jpg,,,,,,,,,, +羊齿囊瓣芹,Pternopetalum filicinum,李馨,,19570508,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00032022.jpg,,,,,,,,,, +,Pternopetalum filicinum,"Henry, A.",6600,,,,,,,https://image.cvh.ac.cn/files/l/P/P00432459.jpg,,,,,,,,,, +纤细囊瓣芹,Pternopetalum gracillimum,Harry Smith,10138,19340626,四川省,2600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00782248.jpg,,,,,,,,,, +,Pternopetalum gracillimum,[Chu. K L],2772,13-Jun-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00000540.jpg,,,,,,,,,, +纤细囊瓣芹,Pternopetalum gracillimum,方震东,肖茂荣,史效武,李红,谢红艳,PL-060,20051002,云南省,4203,林下,苔藓从中,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005504.jpg,,,,,,,,,, +,Pternopetalum heterophyllum,王乾、顾健,SCW1418,20200624,四川,3517,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0267012.jpg,,,,,,,,,, +,Pternopetalum heterophyllum,"Chu, K.L.",3454,7-Aug-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00265241.jpg,,,,,,,,,, +异叶囊瓣芹,Pternopetalum heterophyllum,秦岭队,Tb-177,2013/7/24,陕西省,,,,,https://image.cvh.ac.cn/files/l/BNU/009538.jpg,,,,,,,,,, +矮茎囊瓣芹,Pternopetalum longicaule var. humile,鄂神农架植考队,10661,19760702,湖北省,2700,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0201836.jpg,,,,,,,,,, +矮茎囊瓣芹,Pternopetalum longicaule var. humile,,243,,四川,,林边,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715005325.jpg,,,,,,,,,, +矮茎囊瓣芹,Pternopetalum longicaule var. humile,何荻平,43686,19560518,四川省,2900,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00032057.jpg,,,,,,,,,, +,Pternopetalum longicaule var. longicaule,王乾,M-76,20180625,四川,2748,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273497.jpg,,,,,,,,,, +,Pternopetalum molle var. molle,,,,,,,,,,,,,,,,,,, +华囊瓣芹,Pternopetalum sinense,孙必兴等,188,19730510,云南省,1450,林下溪边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465178.jpg,,,,,,,,,, +,Pternopetalum sinense,"Delavay, J.M.",4098,1889-8-10,,,,,,https://image.cvh.ac.cn/files/l/P/P00432450.jpg,,,,,,,,,, +华囊瓣芹,Pternopetalum sinense,岳俊三等,4599,19631005,江西省,900,荫性山坡灌缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465180.jpg,,,,,,,,,, +鹧鸪山囊瓣芹,Pternopetalum trifoliatum,青藏队,992,19730807,西藏自治区,2880,河边山坡,落叶阔叶林中,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0465073.jpg,,,,,,,,,, +鹧鸪山囊瓣芹,Pternopetalum trifoliatum,付坤俊,4759,19520625,陕西省,1900,坡基杂草中,直立小草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465074.jpg,,,,,,,,,, +鹧鸪山囊瓣芹,Pternopetalum trifoliatum,姚淦,232,1984-9 3,四川省,3400,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094614.jpg,,,,,,,,,, +,Pternopetalum vulgare var. vulgare,"Henry, Augustine",10675,,,,,,,https://image.cvh.ac.cn/files/l/E/E00201330.jpg,,,,,,,,,, +,Pternopetalum vulgare var. vulgare,王乾、顾健,SCW1025,20190816,四川,2547,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0266782.jpg,,,,,,,,,, +天全囊瓣芹,Pternopetalum wangianum,曲桂龄,2772,1936/ /,四川,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0318385.jpg,,,,,,,,,, +天全重瓣芹,Pternopetalum wangianum,陈家明、李朝斗,309,19580611,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GZTM/0029888.jpg,,,,,,,,,, +天全囊瓣芹,Pternopetalum wangianum,曲桂龄,2772,19320620,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00048913.jpg,,,,,,,,,, +滇西囊瓣芹,Pternopetalum wolffianum,盐源,289,,四川,,林,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715005259.jpg,,,,,,,,,, +滇西囊瓣芹,Pternopetalum wolffianum,包维楷等,2244,1994-6 2,四川省,1850,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094646.jpg,,,,,,,,,, +滇西囊瓣芹,Pternopetalum wolffianum,H.T.Tsai,1056,1932/6/20,云南,2500,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0037607.jpg,,,,,,,,,, +裂叶翼首花,Pterocephalus bretschneideri,T.H.Tu,4542,19330803,四川省,1660,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0001575.jpg,,,,,,,,,, +裂叶翼首花,Pterocephalus bretschneideri,H.T.Tsai,51978,19320908,云南省 ,2300,,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00272502.jpg,,,,,,,,,, +裂叶翼首花,Pterocephalus bretschneideri,蔡杰、刘成、秦少发、杨娅娟,08CS318,20080820,云南,1715,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1480971.jpg,,,,,,,,,, +匙叶翼首花,Pterocephalus hookeri,文雪梅、土艳丽,7,20100908,西藏自治区,4200,支沟侧坡(花岗岩),,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0011176.jpg,,,,,,,,,, +匙叶翼首花,Pterocephalus hookeri,T.N.Ho(HNWP)等,2112,19960820,青海省,3850~3950,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286737.jpg,,,,,,,,,, +匙叶翼首花,Pterocephalus hookeri,刘坤,LiuJQ-GN-616,20110928,甘肃省,0~3525,草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0284575.jpg,,,,,,,,,, +翻白叶树,Pterospermum heterophyllum,叶华谷、邢福武,9366,20031201,澳门,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0263761.jpg,,,,,,,,,, +翻白叶树,Pterospermum heterophyllum,平乐县普查队,450330170727036LY,20170727,广西,152,阔叶林,沟边,黄棕壤,一般野生,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00412432.jpg,,,,,,,,,, +翻白叶树,Pterospermum heterophyllum,刘慎谔,18415,19410328,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01304744.jpg,,,,,,,,,, +,Pterospermum javanicum,,8732,19630620,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01304748.jpg,,,,,,,,,, +窄叶半枫荷,Pterospermum lanceifolium,曾怀德,27451,19361229,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/013016.jpg,,,,,,,,,, +窄叶半枫荷,Pterospermum lanceifolium,考察队,34832,19831126,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/012813.jpg,,,,,,,,,, +窄叶半枫荷,Pterospermum lanceifolium,丁广奇,石国良,658,19630627,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/012812.jpg,,,,,,,,,, +翼蓼,Pteroxygonum giraldii,刘淼等,A30008,20050713,河南省,1100,路边灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01041566.jpg,,,,,,,,,, +翼蓼,Pteroxygonum giraldii,包士英,2195,19590731,山西省,,山沟石缝中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00240327.jpg,,,,,,,,,, +翼蓼,Pteroxygonum giraldii,梁一民,杨金祥,3113,1964/7/3,陕西省  ,1000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0228578.jpg,,,,,,,,,, +翼萼蔓,Pterygocalyx volubilis,呼和木仁,田景民,150121180904035LY,20180904,内蒙古,1907.9,阔叶林,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IATM/IATM0001885.jpg,,,,,,,,,, +翼萼蔓,Pterygocalyx volubilis,延庆队,YQ433,20070818,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00068393.jpg,,,,,,,,,, +翼萼蔓,Pterygocalyx volubilis,曾万章,153,19810925,四川,,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDCM/CDCM0002411.jpg,,,,,,,,,, +翅苹婆,Pterygota alata,"李延辉,刀志灵",3627,19910815,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1266156.jpg,,,,,,,,,, +翅苹婆,Pterygota alata,梁向日,66537,19331221,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00161828.jpg,,,,,,,,,, +,Pulicaria chrysantha,"Kingdon-Ward, F.",4919,6-Sep-21,,,,,,https://image.cvh.ac.cn/files/l/E/E00385785.jpg,,,,,,,,,, +金仙草,Pulicaria chrysantha,曹亚玲,39,1984-8 2,四川省,1400,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0178892.jpg,,,,,,,,,, +金仙草,Pulicaria chrysantha,汤宗孝,1508,19830725,四川,1800,干旱河谷山坡灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01824023.jpg,,,,,,,,,, +臭蚤草,Pulicaria insignis,张林、李星月、张晓严,1-444,20180621,西藏,3954,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023721.jpg,,,,,,,,,, +臭蚤草,Pulicaria insignis,四川植被调查队,3517,19730922,四川省,3800,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01777873.jpg,,,,,,,,,, +臭蚤草,Pulicaria insignis,杨昌友,761047,19760821,新疆维吾尔自治区,420,湖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01777923.jpg,,,,,,,,,, +,Pulvinatusia xuegulaensis,,,,,,,,,,,,,,,,,,, +,Pycnoplinthopsis bhutanica,,,,,,,,,,,,,,,,,,, +簇芥,Pycnoplinthus uniflora,刘全儒,ALT.445,20140730,新疆,4116,荒漠,草,,https://image.cvh.ac.cn/files/l/BNU/0028448.jpg,,,,,,,,,, +簇芥,Pycnoplinthus uniflora,刘全儒,QH2014004,20140705,青海省,4000,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0031464.jpg,,,,,,,,,, +,Pycnoplinthus uniflora,新疆综合考察队,467,19590602,新疆维吾尔自治区,5100,高山北坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995830.jpg,,,,,,,,,, +,Pyrenaria barringtoniifolia,,,,,,,,,,,,,,,,,,, +,Pyrenaria khasiana,"李渤生,程树志,倪志诚",3732,19830523,西藏自治区,1800,常绿阔叶 林中时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00888173.jpg,,,,,,,,,, +光滑匹菊,Pyrethrum arrasanicum,陈又生,13-2296,20130906,新疆维吾尔自治区,3762,砾石草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919854.jpg,,,,,,,,,, +光滑匹菊,Pyrethrum arrasanicum,,770113,19770626,,3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01775448.jpg,,,,,,,,,, +紫背鹿蹄草,Pyrola atropurpurea,白龙江考察队,431,19980720,甘肃省,2000,山地 山坡 疏林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01560874.jpg,,,,,,,,,, +紫背鹿蹄草,Pyrola atropurpurea,西藏队 黄荣福,634,19790710,西藏自治区,3100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/84998.jpg,,,,,,,,,, +紫背鹿蹄草,Pyrola atropurpurea,傅坤俊,15855,1964/7/3,甘肃,1900,,草本、直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0363345.jpg,,,,,,,,,, +鹿蹄草,Pyrola calliantha,C.W.Wang,65731,1935/08/,云南,3200,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0036825.jpg,,,,,,,,,, +鹿蹄草,Pyrola calliantha,杨文光,160,20150613,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0009042.jpg,,,,,,,,,, +鹿蹄草,Pyrola calliantha,82级,,19830704,山西省,2000,,,无花无果,https://image.cvh.ac.cn/files/l/SSMM/0003257.jpg,,,,,,,,,, +普通鹿蹄草,Pyrola decorata,张漪,2-76,20071005,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/HTC/HTC0010052.jpg,,,,,,,,,, +,Pyrola decorata,"Forrest, G.",2519,6-Jul,,,,,,https://image.cvh.ac.cn/files/l/P/P00650072.jpg,,,,,,,,,, +普通鹿蹄草,Pyrola decorata,鄂神农架植考队,30859,19760629,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0092826.jpg,,,,,,,,,, +大理鹿蹄草,Pyrola forrestiana,青藏队,7668,19820626,西藏自治区,2800~3260,山坡,云南,松林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0230782.jpg,,,,,,,,,, +大理鹿蹄草,Pyrola forrestiana,T.P.Wang,11078,1939/6/23,湖北,1500,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0029440.jpg,,,,,,,,,, +,Pyrola forrestiana,,21173,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0065608.jpg,,,,,,,,,, +短柱鹿蹄草,Pyrola minor,俞德浚,19885,19390814,云南省,3900,margin of thickets,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0230798.jpg,,,,,,,,,, +短柱鹿蹄草,Pyrola minor,亚吉东,张桥蓉,胡枭剑,17CS16262,20170627,新疆,1730,沟边,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1434587.jpg,,,,,,,,,, +短柱鹿蹄草,Pyrola minor,"应俊生,洪德元",917,19650821,西藏自治区,3600,Asbies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00060035.jpg,,,,,,,,,, +圆叶鹿蹄草,Pyrola rotundifolia,刘慎谔等,7442,19560716,黑龙江省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0419650.jpg,,,,,,,,,, +,Pyrola rotundifolia,T.T.Yu,6077,,云南省 ,2800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0419716.jpg,,,,,,,,,, +,Pyrola rotundifolia,吴中伦,40380,19590617,云南,3560,火烧迹地的桦林下,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00029738.jpg,,,,,,,,,, +檀梨,Pyrularia edulis,资源县普查队,450329160815016LY,20160815,广西,926,阔叶林,沟边,乔木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0172391.jpg,,,,,,,,,, +,Pyrularia edulis,马毓泉,0,,广东,,,灌木,,https://image.cvh.ac.cn/files/l/PEY/PEY0036458.jpg,,,,,,,,,, +檀梨,Pyrularia edulis,荧经队,615,19780822,四川,1200,林中,,无花有果,https://image.cvh.ac.cn/files/l/SM/SM702800027.jpg,,,,,,,,,, +,Radermachera gigantea,,,,,,,,,,,,,,,,,,, +广西菜豆树,Radermachera glandulosa,陈少卿,13227,19570715,广西壮族自治区,670,"丘陵,山谷,密林湿土",乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0210480.jpg,,,,,,,,,, +广西菜豆树,Radermachera glandulosa,K.Larsen & S.S.Larsen et al.,42659,19920604,,0~350,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0563375.jpg,,,,,,,,,, +菜豆树,Radermachera sinica,,,19620506,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/068853.jpg,,,,,,,,,, +菜豆树,Radermachera sinica,陈念劬,43842,19320906,海南,,along hail,big tree,有花有果,https://image.cvh.ac.cn/files/l/SN/SN004207.jpg,,,,,,,,,, +菜豆树,Radermachera sinica,喻勋林,1294,,湖南省,350,石灰岩山地,落叶乔木,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI042676.jpg,,,,,,,,,, +滇菜豆树,Radermachera yunnanensis,胡君,熊豫宁,伍小刚,王东超,HJ05139,20151021,西藏自治区,600,山坡,阔叶林中或路旁,小乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00598236.jpg,,,,,,,,,, +滇菜豆树,Radermachera yunnanensis,刘成;冯明建;李涟漪;李欣,20CS19316,20200417,云南,1454,路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509114.jpg,,,,,,,,,, +滇菜豆树,Radermachera yunnanensis,"郭永杰, 王雨华, 杨立新, 李姗",18CS16944,20180513,西藏,712,公路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484255.jpg,,,,,,,,,, +萝卜,Raphanus sativus,付竟秋,1747,1958/10/3,河南省,1680,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0116463.jpg,,,,,,,,,, +萝卜,Raphanus sativus,长宁队,249,19600621,陕西省,1600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01350870.jpg,,,,,,,,,, +萝卜,Raphanus sativus,,1124,19630812,吉林省,800,路边阳处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607717.jpg,,,,,,,,,, +蛇根木,Rauvolfia serpentina,林兵隆,10732,19600506,海南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI030692.jpg,,,,,,,,,, +,Rauvolfia serpentina,刘正宇,7652,19850718,四川,,栽培,灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00603126.jpg,,,,,,,,,, +蛇根木,Rauvolfia serpentina,蒋英,16607,19610302,广东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0478958.jpg,,,,,,,,,, +药用萝芙木,Rauvolfia verticillata,黄逢生,1455,19590530,,,,,有花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI050440.jpg,,,,,,,,,, +萝芙木,Rauvolfia verticillata,钟济新,84996,19600422,河靖省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00096377.jpg,,,,,,,,,, +萝芙木,Rauvolfia verticillata,"刘成, 亚吉东",18CS17199,20181117,西藏,904,阔叶林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1486741.jpg,,,,,,,,,, +五柱红砂,Reaumuria kaschgarica,新疆采集队,1935,1978/8/5,新疆维吾尔族自治区,3000,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0336671.jpg,,,,,,,,,, +,Reaumuria kaschgarica,陈世龙,高庆波,张发起等,ChenSL0865,20090828,青海,3520,荒漠,半灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1249953.jpg,,,,,,,,,, +五柱红砂,Reaumuria kaschgarica,"孙世洲,孔令韶",82019,19820805,青海省,3540,山脚坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01838467.jpg,,,,,,,,,, +梭罗树,Reevesia pubescens,孙航,周浙昆,俞宏渊,4171,19930228,西藏自治区,1600,on slope,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0472749.jpg,,,,,,,,,, +梭罗树,Reevesia pubescens,梁向日,82,,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0264041.jpg,,,,,,,,,, +梭罗树,Reevesia pubescens,杨加文,李晓芳,骆畅,GZBG023B03,20181023,贵州,932,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1501138.jpg,,,,,,,,,, +,Rehderodendron microcarpum,,,,,,,,,,,,,,,,,,, +顶羽菊,Rhaponticum repens,杨容,YR20160803-4,20160803,陕西省,,路边,,,https://image.cvh.ac.cn/files/l/BNU/0027121.jpg,,,,,,,,,, +,Rhaponticum repens,"马毓泉,吴庆如",88,19640717,内蒙古自治区,1000,田边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00595218.jpg,,,,,,,,,, +顶羽菊,Rhaponticum repens,张磊,高杨琼,zlnmu2022003,20220603,宁夏,1052.9,荒漠草原,草本,有花无果,https://image.cvh.ac.cn/files/l/NMU/NMU00444.jpg,,,,,,,,,, +心叶大黄,Rheum acuminatum,G.Forrest,24902,19240000,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00240442.jpg,,,,,,,,,, +,Rheum acuminatum,陈家辉,韩希,王东超,王广艳,杨大松,李资磊,张春林,陶云芬,YangYP-Q-4082,20110831,西藏,3332,林下草丛,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1243571.jpg,,,,,,,,,, +心叶大黄,Rheum acuminatum,G.Forrest,8975,19120000,云南省 ,75,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0153193.jpg,,,,,,,,,, +藏边大黄,Rheum australe,俞德浚,6204,19370613,四川省,3900,森林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0425459.jpg,,,,,,,,,, +,Rheum australe,PE西藏考察队,22-Feb,20180625,西藏自治区,3915,高山灌丛草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332850.jpg,,,,,,,,,, +藏边大黄,Rheum australe,俞德浚,8648,19370619,云南省,3500,mt grassy slope,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0425482.jpg,,,,,,,,,, +滇边大黄,Rheum delavayi,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20711,20200626,西藏,4640,流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506259.jpg,,,,,,,,,, +滇边大黄,Rheum delavayi,北京所横断山队,2110,19810728,云南省,4100~4450,高山草甸上部及流石滩上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060054.jpg,,,,,,,,,, +滇边大黄,Rheum delavayi,,33,19640613,青海省,4200,山地阴坡草甸上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02082707.jpg,,,,,,,,,, +光茎大黄,Rheum glabricaule,陈善墉、何铸、钟明芳,5598,19580722,,3250,,,有花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0001395.jpg,,,,,,,,,, +光茎大黄,Rheum glabricaule,熊先华,1280-2,20170812,四川,3500,山坡,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0058486.jpg,,,,,,,,,, +光茎大黄,Rheum glabricaule,于胜祥,侯元同,张晓霞,5823,20110821,西藏,,沿途路旁山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0058488.jpg,,,,,,,,,, +头序大黄,Rheum globulosum,PE西藏考察队,7531,20180619,西藏自治区,4768,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332723.jpg,,,,,,,,,, +卵果大黄,Rheum moorcroftianum,田新民、王志强、邹嘉宾,Liujq-Txm10-103,20100819,西藏,5202,高寒草地,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00020641.jpg,,,,,,,,,, +卵果大黄,Rheum moorcroftianum,PE西藏队,PE6556,20170913,西藏自治区,5340,高山甘草坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293906.jpg,,,,,,,,,, +卵果大黄,Rheum moorcroftianum,,84-A-253,84.07.03,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00004125.jpg,,,,,,,,,, +矮大黄,Rheum nanum,T.N. Liou,2523,1931/7/2,新疆维吾尔族自治区,,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0002038.jpg,,,,,,,,,, +矮大黄,Rheum nanum,C.Davaeamc et al.,2038,19620517,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01578785.jpg,,,,,,,,,, +,Rheum nanum,刘媖心 杨喜林,108,19630817,宁夏,,山坡,,无花无果,https://image.cvh.ac.cn/files/l/LZD/LZD0004307.jpg,,,,,,,,,, +塔黄,Rheum nobile,青藏队,4157B,19810816,四川省,4500~4700,高山 灌丛 草甸 多石坡上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01063385.jpg,,,,,,,,,, +塔黄,Rheum nobile,蔡希陶,58132,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0425386.jpg,,,,,,,,,, +,Rheum nobile,郭永杰,张桥蓉,李春晓,张继,11CS3525,20110919,云南,4665,高山流石滩,木质藤本,,https://image.cvh.ac.cn/files/l/KUN/1243607.jpg,,,,,,,,,, +药用大黄,Rheum officinale,,856,19590620,四川省,3000,"山顶,阳处,草地",,无花无果,https://image.cvh.ac.cn/files/l/PE/00240749.jpg,,,,,,,,,, +药用大黄,Rheum officinale,王富葆,108,19750703,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/077041318.jpg,,,,,,,,,, +药用大黄,Rheum officinale,陕西省秦考队,2013,19590515,,,,,无花无果,https://image.cvh.ac.cn/files/l/XBGH/000623.jpg,,,,,,,,,, +掌叶大黄,Rheum palmatum,西北大学,320,1960/6/15,陕西省  ,,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0303784.jpg,,,,,,,,,, +,Rheum palmatum,张挺,蔡杰等,SCSB-B-000466,20070914,西藏,4210,高山草甸,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1243624.jpg,,,,,,,,,, +大黄,Rheum palmatum,唐旭,225,19850827,贵州省,610,温寒山区,土壤润湿的草坡或栽培,土壤PH5.8,草本,无花无果,https://image.cvh.ac.cn/files/l/GZTM/0007749.jpg,,,,,,,,,, +总序大黄,Rheum racemiferum,何叶祺,2946,19590603,内蒙古自治区,2300,山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00240895.jpg,,,,,,,,,, +总序大黄,Rheum racemiferum,,,19580610,宁夏回族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00240898.jpg,,,,,,,,,, +总序大黄,Rheum racemiferum,黄河队,8821,19560620,甘肃,7000,,,无花有果,https://image.cvh.ac.cn/files/l/PEM/PEM0001363.jpg,,,,,,,,,, +网脉大黄,Rheum reticulatum,"李渤生,郑度",10928,19870809,西藏自治区,4900,河滩 时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01341572.jpg,,,,,,,,,, +,Rheum reticulatum,田新民,朱洪涛,LiuJQ-QLS-TXM-128,20080904,青海,4264,温带高山草甸,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1243649.jpg,,,,,,,,,, +网脉大黄,Rheum reticulatum,托孜,780100,78.05.20,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00004142.jpg,,,,,,,,,, +枝穗大黄,Rheum rhizostachyum,青藏队 吴玉虎,870361B,19870703,新疆维吾尔自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/144359.jpg,,,,,,,,,, +枝穗大黄,Rheum rhizostachyum,,782,19620624,,2800,,,无花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0001373.jpg,,,,,,,,,, +枝穗大黄,Rheum rhizostachyum,夏光成,米泰康,1155,19610607,西藏自治区,4500,,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0425439.jpg,,,,,,,,,, +穗序大黄,Rheum spiciforme,许建初,2120,19880715,云南省,4500,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1265704.jpg,,,,,,,,,, +,Rheum spiciforme,李晖,文雪梅,次旺加布,李发平,Lihui-Q-0068,20080831,西藏,4784,荒漠化草原滑石坡上,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1243660.jpg,,,,,,,,,, +穗序大黄,Rheum spiciforme,,A87087,57.07.23,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00004159.jpg,,,,,,,,,, +西藏大黄,Rheum tibeticum,刘振书,1209,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00103925.jpg,,,,,,,,,, +西藏大黄,Rheum tibeticum,T.N.Ho(HNWP)等,2487,19960827,青海省,0~3540,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286530.jpg,,,,,,,,,, +西藏大黄,Rheum tibeticum,PE西藏队,PE5549,20170831,西藏自治区,4352,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/02293900.jpg,,,,,,,,,, +喜马拉雅大黄,Rheum webbianum,李渤生等,5618,19830720,西藏自治区,4200,"高山灌丛草甸中,砾石坡",,无花无果,https://image.cvh.ac.cn/files/l/PE/00241014.jpg,,,,,,,,,, +,Rheum webbianum,杨永平,王东超,杨大松,张春林,陶云芬,YangYP-Q-5048,20110904,西藏,4512,陡峭山坡石缝中,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1243682.jpg,,,,,,,,,, +,Rheum webbianum,Inayat,20130,19960702,,,,,有花有果,https://image.cvh.ac.cn/files/l/AU/038129.jpg,,,,,,,,,, +云南大黄,Rheum yunnanense,北京所横断山队,782,19810622,云南省,3800,高山草甸中偶见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01063392.jpg,,,,,,,,,, +云南大黄,Rheum yunnanense,蔡希陶,58175,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0425492.jpg,,,,,,,,,, +云南大黄,Rheum yunnanense,"X.H.Jin,Y.S.Chen, H.Q.Li,H.Zhang,S.Y.Dong,B.Chen,Q",3373,20080720,西藏自治区,,conifer forest,,有花无果,https://image.cvh.ac.cn/files/l/PE/02006187.jpg,,,,,,,,,, +,Rhinacanthus calcaratus,,,,,,,,,,,,,,,,,,, +,Rhinacanthus grandiflorus,,,,,,,,,,,,,,,,,,, +,Rhinactinidia limoniifolia,"亚吉东, 张桥蓉, 胡枭剑",16CS12879,20160531,新疆,1863,路边灌草丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1455290.jpg,,,,,,,,,, +,Rhinactinidia limoniifolia,L.Ivanina et al.,591,19780712,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02005426.jpg,,,,,,,,,, +,Rhinactinidia limoniifolia,"刘成,亚吉东",15CS10202,20150612,新疆维吾尔自治区,1294,岩壁上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375834.jpg,,,,,,,,,, +,Rhododendron Lindl.i,,,,,,,,,,,,,,,,,,, +,Rhododendron aganniphum var. flavorufum,"Forrest, George",14345,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001557.jpg,,,,,,,,,, +,Rhododendron aganniphum var. flavorufum,王启无,66115,19350901,西藏自治区,,生山谷中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00226213.jpg,,,,,,,,,, +,Rhododendron aganniphum var. flavorufum,俞德俊,10686,19371112,云南省,3800,山菁林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00226229.jpg,,,,,,,,,, +裂毛雪山杜鹃?,Rhododendron aganniphum var. schizopeplum,王辰,LZ034,20120709,西藏,4300,,,,https://image.cvh.ac.cn/files/l/BNU/0014086.jpg,,,,,,,,,, +裂毛雪山杜鹃,Rhododendron aganniphum var. schizopeplum,"张大才, 李双智, 唐路, 孙琼琼",ZhangDC-07ZX-1892,20091001,云南,,高山灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337951.jpg,,,,,,,,,, +,Rhododendron aganniphum var. schizopeplum,PE西藏考察队,7088,20180610,西藏自治区,4281,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334399.jpg,,,,,,,,,, +,Rhododendron alutaceum var. iodes,"Forrest, George",16745,18-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001219.jpg,,,,,,,,,, +毛枝棕背杜鹃,Rhododendron alutaceum var. iodes,G.Forrest,20735,,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0448155.jpg,,,,,,,,,, +,Rhododendron alutaceum var. iodes,G. Forrest,20426,19210601,四川省,3640,深谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00226282.jpg,,,,,,,,,, +,Rhododendron alutaceum var. russotinctum,G. Forrest,17438,19181001,云南省,2730,开阔岩坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00226300.jpg,,,,,,,,,, +,Rhododendron alutaceum var. russotinctum,"Forrest, George",14140,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001220.jpg,,,,,,,,,, +,Rhododendron alutaceum var. russotinctum,G. Forrest,15043,19171101,西藏自治区,3640,杜鹃林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00226297.jpg,,,,,,,,,, +烈香杜鹃,Rhododendron anthopogon,崔友文,5866,19511017,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00226462.jpg,,,,,,,,,, +烈香杜鹃,Rhododendron anthopogon,Przewalski.,,,甘肃; Kansu,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107297.jpg,,,,,,,,,, +烈香杜鹃,Rhododendron anthopogon,吴,Feb-75,1975/5/19,青海省,3550,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0024548.jpg,,,,,,,,,, +团花杜鹃,Rhododendron anthosphaerum,Forrest,5848,,云南; Yunnan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107299.jpg,,,,,,,,,, +团花杜鹃,Rhododendron anthosphaerum,李红,肖茂荣,和光,HB2008-692,20080704,云南省,3401,黄背栎群落,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 004879.jpg,,,,,,,,,, +团花杜鹃,Rhododendron anthosphaerum,"周浙昆, 苏涛, 杨莹, 张芳茗, 李国锋, 黄永江",Zhou09-120,20091014,四川,,稀疏灌木丛和流石滩,灌丛,高山草甸,流石滩,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1337969.jpg,,,,,,,,,, +,Rhododendron arboreum,姜恕等,10036,19600530,云南省,3100,"山坡,阔叶林中,湿润处,多",,有花无果,https://image.cvh.ac.cn/files/l/PE/00226810.jpg,,,,,,,,,, +,Rhododendron arboreum,孙航,4590,19930516,西藏自治区,2050,山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0005866.jpg,,,,,,,,,, +,Rhododendron arboreum,王汉臣,3463,19450320,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0448244.jpg,,,,,,,,,, +棕色树形杜鹃,Rhododendron arboreum var. cinnamomeum,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-1108-T05-003104,20171206,,3027,Forests on hillside,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1447367.jpg,,,,,,,,,, +,Rhododendron arboreum var. peramoenum,"Forrest, George",17708,18-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00010358.jpg,,,,,,,,,, +,Rhododendron arboreum var. roseum,孙航,4907,19930521,西藏自治区,2100,林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0005864.jpg,,,,,,,,,, +毛枝杜鹃,Rhododendron argipeplum,青藏补点,751589,19770826,西藏自治区,3000,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/52208.jpg,,,,,,,,,, +夺目杜鹃,Rhododendron arizelum,孙航,625,19921025,西藏自治区,3400,林中,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0005987.jpg,,,,,,,,,, +夺目杜鹃,Rhododendron arizelum,庄平 冯正波 赵志龙,970327,19970111,四川省,3500,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005529.jpg,,,,,,,,,, +夺目杜鹃,Rhododendron arizelum,高信芬、涂卫国、乔永康、何海,7581,20030921,西藏,3250,冷杉林下,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0182424.jpg,,,,,,,,,, +,Rhododendron augustinii subsp. chasmanthum,何叶祺,286,19630504,甘肃省,1700,山坡密林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0006079.jpg,,,,,,,,,, +张口杜鹃,Rhododendron augustinii subsp. chasmanthum,方震东,HX-18,20061220,云南,3400,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008490.jpg,,,,,,,,,, +,Rhododendron augustinii subsp. chasmanthum,"Forrest, George",513,4-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00010015.jpg,,,,,,,,,, +辐花杜鹃,Rhododendron baileyi,"张书东, 何华杰",81369,20080924,西藏,3371,路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1458704.jpg,,,,,,,,,, +辐花杜鹃,Rhododendron baileyi,F.Ludlow etc,3202,19370606,,3600,,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0006216.jpg,,,,,,,,,, +辐花杜鹃,Rhododendron baileyi,J.C. William,,,西藏; Tibet,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107336.jpg,,,,,,,,,, +,Rhododendron bainbridgeanum,"Forrest, George",21761,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001159.jpg,,,,,,,,,, +毛萼杜鹃,Rhododendron bainbridgeanum,四川植被队,9784,1975-8 1,四川省,3600,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0105455.jpg,,,,,,,,,, +毛萼杜鹃,Rhododendron bainbridgeanum,张林、李星月、张晓严,2月2日,20180610,西藏,4125,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023628.jpg,,,,,,,,,, +,Rhododendron balfourianum var. aganniphoides,G. Forrest,29263,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00227291.jpg,,,,,,,,,, +,Rhododendron balfourianum var. aganniphoides,生态室高原组,10228,19800620,西藏自治区,3200~3600,云杉冷杉林 沟谷处 高大乔状杜鹃,,有花无果,https://image.cvh.ac.cn/files/l/PE/01495680.jpg,,,,,,,,,, +白毛粉钟杜鹃,Rhododendron balfourianum var. aganniphoides,王启无,71154,19350700,云南省 ,3500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0448609.jpg,,,,,,,,,, +硬刺杜鹃,Rhododendron barbatum,胡文光,1472,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00036461.jpg,,,,,,,,,, +硬刺杜鹃,Rhododendron barbatum,青藏队,6618,19760629,西藏自治区,2700,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/50296.jpg,,,,,,,,,, +硬刺杜鹃,Rhododendron barbatum,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003107,20171206,,2805,Road side,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1451831.jpg,,,,,,,,,, +粗枝杜鹃,Rhododendron basilicum,,,,云南; Yunnan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107363.jpg,,,,,,,,,, +大叶杜鹃,Rhododendron basilicum,元宝山综合考察队,Y0486,20041018,广西壮族自治区,1280,山坡、疏林、黄壤,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00226684.jpg,,,,,,,,,, +粗枝杜鹃,Rhododendron basilicum,刀志灵,DZL877,20101105,云南,,针阔混交林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337992.jpg,,,,,,,,,, +刺枝杜鹃,Rhododendron beanianum,高宝莼,郭友好,谭仲明,111427,19740516,四川省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00126298.jpg,,,,,,,,,, +刺枝杜鹃,Rhododendron beanianum,高连明,蔡兆明,GLM-102979,20100604,西藏自治区,2800,针叶林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1240864.jpg,,,,,,,,,, +宽钟杜鹃,Rhododendron beesianum,庄平 赵志龙,970521,19971011,云南省,3700,,,无花无果,https://image.cvh.ac.cn/files/l/WCSBG/008418.jpg,,,,,,,,,, +宽钟杜鹃,Rhododendron beesianum,Joseph F. Rock,25053,Apr-32,云南; Yunnan,1250,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107348.jpg,,,,,,,,,, +宽钟杜鹃,Rhododendron beesianum,高连明,刘杰,GLM-08844,20080521,云南省 ,3760,针阔叶混交林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241455.jpg,,,,,,,,,, +,Rhododendron boothii,青藏队,74-4092,19740805,西藏自治区,2080,山坡,阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00227550.jpg,,,,,,,,,, +,Rhododendron boothii,俞德俊,s.n.,19480501,,,植物园栽培,,无花无果,https://image.cvh.ac.cn/files/l/PE/00227551.jpg,,,,,,,,,, +柠檬杜鹃,Rhododendron boothii,DGEY,71,20000930,云南省,1850,on boulders in shade of other shrubs,,,https://image.cvh.ac.cn/files/l/KUN/1282894.jpg,,,,,,,,,, +短柱杜鹃,Rhododendron brachyanthum,郭辉军,Guo1451,19880506,云南省 ,2900,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1267328.jpg,,,,,,,,,, +短花杜鹃,Rhododendron brachyanthum,,5009,19890725,四国,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/536211.jpg,,,,,,,,,, +,Rhododendron brachyanthum,高连明,蔡兆明,GLM-102830,20100528,西藏自治区,2960,路边林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241279.jpg,,,,,,,,,, +,Rhododendron brachyanthum subsp. hypolepidotum,G. Forrest,19198,19190801,云南省,,岩石坡和悬崖边,,无花有果,https://image.cvh.ac.cn/files/l/PE/00227565.jpg,,,,,,,,,, +,Rhododendron brachyanthum subsp. hypolepidotum,"Soulie, R.P.",1027,,,,,,,https://image.cvh.ac.cn/files/l/E/E00010353.jpg,,,,,,,,,, +,Rhododendron brachyanthum subsp. hypolepidotum,高连明,严丽君,吴之坤,GLM-102830,20100528,西藏自治区,2960,路边林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241278.jpg,,,,,,,,,, +卵叶杜鹃,Rhododendron callimorphum,庄平 冯正波 张超,20021031,20021003,云南省,3300,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005320.jpg,,,,,,,,,, +,Rhododendron callimorphum,"Forrest, George",11601,13-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00116412.jpg,,,,,,,,,, +卵叶杜鹃,Rhododendron callimorphum,刀志灵,DZL815,20101023,云南,,杜鹃灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1337997.jpg,,,,,,,,,, +美被杜鹃,Rhododendron calostrotum,高连明,刘杰,GLM-08891,20080525,云南省 ,3500,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241106.jpg,,,,,,,,,, +,Rhododendron calostrotum,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 杨云珊, 杨永平",16CS14381,20161111,西藏,3772,高山灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1446696.jpg,,,,,,,,,, +美被杜鹃,Rhododendron calostrotum,李丙贵,5281,19751101,湖南省,900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0448829.jpg,,,,,,,,,, +,Rhododendron calostrotum var. calciphilum,G. Forrest,27658,19251101,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00199393.jpg,,,,,,,,,, +美被杜鹃,Rhododendron calostrotum var. calciphilum,高连明,刘杰,GLM-08891,20080525,云南省 ,3500,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241106.jpg,,,,,,,,,, +,Rhododendron calostrotum var. calciphilum,俞德俊,8936,19370712,云南省,4000,山坡林中,普遍,,有花无果,https://image.cvh.ac.cn/files/l/PE/00227812.jpg,,,,,,,,,, +,Rhododendron calvescens var. duseimatum,"Forrest, George",14464,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001156.jpg,,,,,,,,,, +,Rhododendron camelliiflorum,PE-西藏队,3395,20130714,西藏自治区,3913,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02289931.jpg,,,,,,,,,, +茶花杜鹃,Rhododendron camelliiflorum,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201044,20200720,西藏,2173,路边荒地岩石上,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507653.jpg,,,,,,,,,, +,Rhododendron camelliiflorum,"S.Noshiro,N.Acharya,Y.Ibaragi etc.",9755185,19970823,,2940,in rhododendron-acer forest on a ridge,,有花有果,https://image.cvh.ac.cn/files/l/PE/02240169.jpg,,,,,,,,,, +钟花杜鹃,Rhododendron campanulatum,徐永福 张帆,10042,20160601,湖南,,,,,https://image.cvh.ac.cn/files/l/CSFI/CSFI053298.jpg,,,,,,,,,, +钟花杜鹃,Rhododendron campanulatum,"蔡杰, 刘成, 上官法智, 魏志丹",QTP-II08-T05-003009,20171125,西藏,3986,Alpine Rhododendron forest,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1447325.jpg,,,,,,,,,, +,Rhododendron campanulatum,西藏自治区中草药普查队,1517,19720826,西藏自治区,3300~3400,林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/00227878.jpg,,,,,,,,,, +,Rhododendron campanulatum subsp. aeruginosum,西藏自治区中草药普查队,1517,19720826,西藏自治区,3300~3400,林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/00230856.jpg,,,,,,,,,, +弯果杜鹃,Rhododendron campylocarpum,EMG,51,20110520,云南省 ,3300~3400,"Disturbed rock face, edges of creeks",,有花无果,https://image.cvh.ac.cn/files/l/KUN/1228171.jpg,,,,,,,,,, +,Rhododendron campylocarpum,G.Forrest,18963,191907,云南省,0,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/483096.jpg,,,,,,,,,, +弯果杜鹃,Rhododendron campylocarpum,,122,19740504,四川省,3400,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00044519.jpg,,,,,,,,,, +,Rhododendron campylogynum,林业部林业科学研究所标本室,3850,1956,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00029939.jpg,,,,,,,,,, +弯柱杜鹃,Rhododendron campylogynum,方震东,97021,19970616,西藏自治区,3750,亚高山杜鹃灌丛,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 002315.jpg,,,,,,,,,, +弯柱杜鹃,Rhododendron campylogynum,C.W.Wang,65648,19350800,云南省 ,3800,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00085326.jpg,,,,,,,,,, +,Rhododendron catacosum,,,,,,,,,,,,,,,,,,, +毛喉杜鹃,Rhododendron cephalanthum,甘南草原调查队,560,19640717,甘肃,3420,,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092296.jpg,,,,,,,,,, +毛喉杜鹃,Rhododendron cephalanthum,,93,1958/6/10,青海,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0051724.jpg,,,,,,,,,, +毛喉杜鹃,Rhododendron cephalanthum,赵魁义,11,19760526,西藏自治区,4400,阴坡,,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0005970.jpg,,,,,,,,,, +樱花杜鹃,Rhododendron cerasinum,青藏队,74-3784,19740731,西藏自治区,3200,山坡灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00228198.jpg,,,,,,,,,, +樱花杜鹃,Rhododendron cerasinum,"蔡杰, 郭永杰, 刘恩德",13CS6929,20130602,西藏,,杜鹃林林缘草地,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338015.jpg,,,,,,,,,, +樱花杜鹃,Rhododendron cerasinum,俞德俊,s.n.,19480501,,,植物园栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00267423.jpg,,,,,,,,,, +毛背云雾杜鹃,Rhododendron chamaethomsonii var. chamaedoron,高连明,严丽君,吴之坤,GLM-123819,20120709,西藏自治区,3935,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1242436.jpg,,,,,,,,,, +,Rhododendron chamaethomsonii var. chamaedoron,"Forrest, George",21768,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001452.jpg,,,,,,,,,, +,Rhododendron chamaethomsonii var. chamaedoron,冯国楣,6558,19401012,云南省,3800~4000,岩坡上,习见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00267758.jpg,,,,,,,,,, +,Rhododendron chamaethomsonii var. chamaethauma,"Kingdon-Ward, Francis",5847,24-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00001130.jpg,,,,,,,,,, +短萼云雾杜鹃,Rhododendron chamaethomsonii var. chamaethauma,高连明,严丽君,吴之坤,GLM-123569,20120627,西藏自治区,3813,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241873.jpg,,,,,,,,,, +雅容杜鹃,Rhododendron charitopes,徐国荣,23482,1980-9 1,四川省,3200,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0105556.jpg,,,,,,,,,, +雅容杜鹃,Rhododendron charitopes,,25581,19240700,云南省 ,4270,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0449119.jpg,,,,,,,,,, +雅客杜鹃,Rhododendron charitopes,"张挺, 蔡杰, 刘成|920, 郭永杰|85, James Wood, Wu Z K",09CS1427,20090722,云南,,Alpine meadow,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338018.jpg,,,,,,,,,, +藏布杜鹃,Rhododendron charitopes subsp. tsangpoense,王辰,,20110628,西藏,,草甸,,,https://image.cvh.ac.cn/files/l/BNU/0011454.jpg,,,,,,,,,, +藏布杜鹃,Rhododendron charitopes subsp. tsangpoense,庄平 冯正波 张超,980151,19980925,西藏自治区,4000,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005403.jpg,,,,,,,,,, +,Rhododendron charitopes subsp. tsangpoense,"Kingdon-Ward, Francis",5844,24-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00010237.jpg,,,,,,,,,, +纯黄杜鹃,Rhododendron chrysodoron,王光正,1549,19530825,黑龙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/IFP/10806001x0025.jpg,,,,,,,,,, +纯黄杜鹃,Rhododendron chrysodoron,海仙、方震东、刘琳、马宗灵,FW2009-139,20090405,云南省,2479,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001641.jpg,,,,,,,,,, +纯黄杜鹃,Rhododendron chrysodoron,孙航,4470,19930510,西藏自治区,2100,山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/192477.jpg,,,,,,,,,, +睫毛杜鹃,Rhododendron ciliatum,李渤生,543,19820903,西藏自治区,3250,林边?,,无花有果,https://image.cvh.ac.cn/files/l/KUN/192768.jpg,,,,,,,,,, +睫毛杜鹃,Rhododendron ciliatum,方文培,,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00132957.jpg,,,,,,,,,, +睫毛杜鹃,Rhododendron ciliatum,俞德俊,s.n.,19480501,,,植物园栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00228345.jpg,,,,,,,,,, +朱砂杜鹃,Rhododendron cinnabarinum,,720314,19720611,四国,3500,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/536881.jpg,,,,,,,,,, +朱砂杜鹃,Rhododendron cinnabarinum,方文培,,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00013956.jpg,,,,,,,,,, +,Rhododendron cinnabarinum,"L.Averyanov,P.K.Loc & D.T.Doan",2562,20020520,,2300~2600,primary evergreen broad-leaved mountain forest along tops of granite and quartzite ridge,,有花有果,https://image.cvh.ac.cn/files/l/PE/02033946.jpg,,,,,,,,,, +,Rhododendron cinnabarinum var. roylei,青藏队,5469,19750604,西藏自治区,3900~3500,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/536882.jpg,,,,,,,,,, +,Rhododendron citriniflorum var. horaeum,Joseph F. Rock,22172,May-32,西藏; Southeast Tibet,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107507.jpg,,,,,,,,,, +,Rhododendron citriniflorum var. horaeum,"Forrest, George",20287,21-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00001075.jpg,,,,,,,,,, +,Rhododendron citriniflorum var. horaeum,青藏队,73-1123,19730813,西藏自治区,4200,山坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/536919.jpg,,,,,,,,,, +,Rhododendron concinnoides,F.K. W.,8578,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108738.jpg,,,,,,,,,, +,Rhododendron cowanianum,西藏自治区中草药普查队,1523,19720726,西藏自治区,3300~3400,林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312588.jpg,,,,,,,,,, +,Rhododendron crenulatum,,,,,,,,,,,,,,,,,,, +长药杜鹃,Rhododendron dalhousieae,"扎西次仁, 西落",ZhongY573,20091007,西藏,,阔叶林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1338043.jpg,,,,,,,,,, +,Rhododendron decorum,G.Forrest,7930,0,香港,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/483122.jpg,,,,,,,,,, +,Rhododendron decorum,谢朝俊,40499,19550517,四川省,1350,坡上林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00229646.jpg,,,,,,,,,, +大白杜鹃,Rhododendron decorum,林文豹,102,19580511,湖北省,,山坡林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00229202.jpg,,,,,,,,,, +,Rhododendron dendricola,林业部林业科学研究所标本室,,19551117,四川,3620,山脊近地区,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00030524.jpg,,,,,,,,,, +,Rhododendron dendricola,"李渤生,程树志",4446,19830502,西藏自治区,2400,河边 石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01537211.jpg,,,,,,,,,, +附生杜鹃,Rhododendron dendricola,方文培,,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00007043.jpg,,,,,,,,,, +杂色杜鹃,Rhododendron eclecteum,Joseph F. Rock,22269,May-32,西藏; Southeast Tibet,1350,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107623.jpg,,,,,,,,,, +杂色杜鹃,Rhododendron eclecteum,俞德俊,20816,19381021,云南省 ,3600,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0449899.jpg,,,,,,,,,, +,Rhododendron eclecteum,俞德浚,20936,0,云南省,2800,灌丛,,无花无果,https://image.cvh.ac.cn/files/l/KUN/538038.jpg,,,,,,,,,, +,Rhododendron eclecteum var. bellatulum,冯国楣,7731,19400915,云南省,3500~3800,竹菁中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00230097.jpg,,,,,,,,,, +,Rhododendron eclecteum var. bellatulum,"Forrest, George",19535,21-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001275.jpg,,,,,,,,,, +,Rhododendron eclecteum var. bellatulum,G. Forrest,21839,19220601,西藏自治区,3940~4240,岩坡杜鹃灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00230096.jpg,,,,,,,,,, +泡泡叶杜鹃,Rhododendron edgeworthii,张林、李星月、张晓严,5-197,20180614,西藏,4297,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023803.jpg,,,,,,,,,, +泡泡叶杜鹃花,Rhododendron edgeworthii,,8262,19820000,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/064867.jpg,,,,,,,,,, +泡泡叶杜鹃,Rhododendron edgeworthii,胡君,熊豫宁,伍小刚,王东超,HJ04950,20151026,西藏自治区,2800,铁杉林下,常绿灌木(幼龄),有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00596471.jpg,,,,,,,,,, +,Rhododendron eudoxum var. bruneifolium,,,,,,,,,,,,,,,,,,, +白毛华丽杜鹃,Rhododendron eudoxum var. mesopolium,方震东、谢爱芳、海仙、李红,DJDC-591,20160621,云南省 ,3585,,,有花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 000133.jpg,,,,,,,,,, +,Rhododendron eudoxum var. mesopolium,冯国楣,6526,19400811,云南省,3800~4000,矮杜鹃丛中,习见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00313560.jpg,,,,,,,,,, +,Rhododendron eudoxum var. mesopolium,"Forrest, George",18645,1919,,,,,,https://image.cvh.ac.cn/files/l/E/E00001115.jpg,,,,,,,,,, +,Rhododendron exasperatum,K.Ward,8250,19280530,,4000,"Growing on the open ridge and on its flanks,in den",,有花无果,https://image.cvh.ac.cn/files/l/PE/00027609.jpg,,,,,,,,,, +,Rhododendron exasperatum,,13595,19470105,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/538263.jpg,,,,,,,,,, +,Rhododendron falconeri,,,,,,,,,,,,,,,,,,, +,Rhododendron faucium,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",12019,19-Dec-46,,,,,,https://image.cvh.ac.cn/files/l/E/E00327158.jpg,,,,,,,,,, +猴斑杜鹃,Rhododendron faucium,任宪威,781176,19780000,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00015026.jpg,,,,,,,,,, +,Rhododendron faucium,J.F.Rock,22226,19320500,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/538478.jpg,,,,,,,,,, +,Rhododendron formosum,,,,,,,,,,,,,,,,,,, +,Rhododendron forrestii,"Kingdon-Ward, Francis",5845,24-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00001134.jpg,,,,,,,,,, +紫背杜鹃,Rhododendron forrestii,植被组,30085,1982-9 7,四川省,3380,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0108645.jpg,,,,,,,,,, +紫背杜鹃,Rhododendron forrestii,Joseph F. Rock,23016,May-32,云南; Yunnan,1450,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107720.jpg,,,,,,,,,, +,Rhododendron forrestii subsp. papillatum,"Kingdon-Ward, Francis",5845,24-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00001134.jpg,,,,,,,,,, +,Rhododendron forrestii subsp. papillatum,北京所横断山队,3486,19810823,云南省,4100~4500,高山灌丛,,无花无果,https://image.cvh.ac.cn/files/l/PE/01377665.jpg,,,,,,,,,, +,Rhododendron forrestii subsp. papillatum,李勃生等,6687,19830818,西藏自治区,4000,山顶 灌丛中偶见 伏于地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468168.jpg,,,,,,,,,, +草莓花杜鹃,Rhododendron fragariiflorum,"高连明,刘杰,张书东",GLM-081950,20080924,西藏自治区,4360,高山灌丛或草甸,,,https://image.cvh.ac.cn/files/l/KUN/1273288.jpg,,,,,,,,,, +草莓花杜鹃,Rhododendron fragariiflorum,彭建生,LZ081,20120713,西藏省,4300,,草本,,https://image.cvh.ac.cn/files/l/BNU/0023173.jpg,,,,,,,,,, +,Rhododendron fulgens,青藏队补点组,750236,19750606,西藏自治区,4000,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00313015.jpg,,,,,,,,,, +猩红杜鹃,Rhododendron fulgens,"钟扬, 扎西次仁",ZhongY800,20090824,西藏,,针阔混交林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1338174.jpg,,,,,,,,,, +猩红杜鹃,Rhododendron fulgens,W.P.Fang,,19350402,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0450395.jpg,,,,,,,,,, +黄背杜鹃,Rhododendron fulvastrum,J.F.Rock,22292,19320500,,4117,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0450396.jpg,,,,,,,,,, +黄背杜鹃,Rhododendron fulvastrum,Joseph F. Rock,22290,May-32,西藏; Southeast Tibet,1450,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107729.jpg,,,,,,,,,, +镰果杜鹃,Rhododendron fulvum,刘成,亚吉东,何华杰,李昌洪,杨永平,杨云珊,16CS11878,20161113,西藏,1986,中山湿性常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1436527.jpg,,,,,,,,,, +镰果杜鹃,Rhododendron fulvum,Joseph F. Rock,25148,Apr-32,云南; Yunnan,1250,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107743.jpg,,,,,,,,,, +,Rhododendron fulvum,"Forrest, G.",11842,13-May,,,,,,https://image.cvh.ac.cn/files/l/P/P00710921.jpg,,,,,,,,,, +灰白杜鹃,Rhododendron genestierianum,王启无,63900,19350600,云南省 ,3500,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0450413.jpg,,,,,,,,,, +灰白杜鹃,Rhododendron genestierianum,George Forrest,19917,21-Aug,E. Tibet and S.W. Ch,12~1,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107748.jpg,,,,,,,,,, +灰白杜鹃,Rhododendron genestierianum,海仙、方震东、刘琳、马宗灵,FW2009-140,20090405,云南省,2481,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001637.jpg,,,,,,,,,, +,Rhododendron glaucophyllum,PE西藏队,PE6363,20170911,西藏自治区,3120,山谷林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333435.jpg,,,,,,,,,, +粘毛杜鹃,Rhododendron glischrum,C.W.Wang,63929,19350600,云南省 ,3500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0450426.jpg,,,,,,,,,, +,Rhododendron glischrum,G.Forrest,26428,192504,香港,0,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/KUN/483171.jpg,,,,,,,,,, +粘毛杜鹃,Rhododendron glischrum,J.F. Rock,8601,23-May,云南; Yunnan,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107757.jpg,,,,,,,,,, +,Rhododendron glischrum subsp. rude,"Forrest, George",25645,24-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001372.jpg,,,,,,,,,, +,Rhododendron glischrum subsp. rude,"李渤生,程树志",1248,19821012,西藏自治区,3000~3400,冷杉林上段,时见伴生灌木,,无花无果,https://image.cvh.ac.cn/files/l/PE/00312909.jpg,,,,,,,,,, +粘毛杜鹃,Rhododendron glischrum subsp. rude,,,19780708,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/065223.jpg,,,,,,,,,, +巨魁杜鹃,Rhododendron grande,"李渤生,程树志",5093,19830617,西藏自治区,2100,林缘,草丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/00315135.jpg,,,,,,,,,, +巨魁杜鹃,Rhododendron grande,W.P.Fang,,19350422,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0450448.jpg,,,,,,,,,, +巨魁杜鹃,Rhododendron grande,青藏队,9753,19820830,云南省,2500,山脊杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00312733.jpg,,,,,,,,,, +不丹杜鹃,Rhododendron griffithianum,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11934,20161116,西藏,1948,林缘路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437368.jpg,,,,,,,,,, +,Rhododendron griffithianum,"李渤生,程树志",2916,19830311,西藏自治区,1250,西工Alnus林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00231037.jpg,,,,,,,,,, +,Rhododendron griffithianum,冯国楣,13019,19471107,云南省,1400~1800,杂木林中,多,,无花有果,https://image.cvh.ac.cn/files/l/PE/00267444.jpg,,,,,,,,,, +似血杜鹃,Rhododendron haematodes,Joseph F. Rock,22465,Oct-32,西藏; Southeast Tibet,1200,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107773.jpg,,,,,,,,,, +,Rhododendron haematodes,G. Forrest,21872A,19220601,西藏自治区,3940,杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00231110.jpg,,,,,,,,,, +绢毛杜鹃,Rhododendron haematodes,Joseph F. Rock,22211,May-32,西藏; Southeast Tibet.,1450,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107432.jpg,,,,,,,,,, +绢毛杜鹃,Rhododendron haematodes subsp. chaetomallum,和旭、白洪兵,533324180519292LY,20180519,云南,2846,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009230.jpg,,,,,,,,,, +绢毛杜鹃,Rhododendron haematodes subsp. chaetomallum,Joseph F. Rock,22211,May-32,西藏; Southeast Tibet.,1450,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107432.jpg,,,,,,,,,, +,Rhododendron haematodes subsp. chaetomallum,G. Forrest,21872A,19220601,西藏自治区,3940,杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00231110.jpg,,,,,,,,,, +灰褐亮鳞杜鹃,Rhododendron heliolepis,"张玉武, 朱正明, 杨文元等",13PXF026,20130619,云南,3764,长苞冷杉、杜鹃林中,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1483065.jpg,,,,,,,,,, +亮鳞杜鹃,Rhododendron heliolepis,涂卫国,839,20031111,四川,3300,灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0200733.jpg,,,,,,,,,, +,Rhododendron heliolepis,"Forrest, George",9060,12-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00116959.jpg,,,,,,,,,, +,Rhododendron heliolepis var. oporinum,冯国楣,5384,19400715,云南省,3500~3600,生岩坡杜鹃林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00267389.jpg,,,,,,,,,, +,Rhododendron heliolepis var. oporinum,青藏队,7655,19820626,西藏自治区,2800,林下,,有花有果,https://image.cvh.ac.cn/files/l/KUN/192614.jpg,,,,,,,,,, +,Rhododendron heliolepis var. oporinum,G. Forrest,26928,19250601,,3030,生混交林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00313471.jpg,,,,,,,,,, +多裂杜鹃,Rhododendron hodgsonii,张经炜,7495,19610523,西藏自治区,3500,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00028950.jpg,,,,,,,,,, +多裂杜鹃,Rhododendron hodgsonii,,720303,19720611,四国,3600~3500,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/539327.jpg,,,,,,,,,, +多裂杜鹃,Rhododendron hodgsonii,,,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00028949.jpg,,,,,,,,,, +杜鹃花属,Rhododendron hookeri,"李渤生,程树志",3598,19830326,西藏自治区,2200,杂木林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/00315161.jpg,,,,,,,,,, +粉果杜鹃,Rhododendron hylaeum,高连明,严丽君,吴之坤,GLM-123427,20120622,西藏自治区,2945,针叶林,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241152.jpg,,,,,,,,,, +粉果杜鹃,Rhododendron hylaeum,庄平 冯正波 张超,20021057,20021005,云南省,2900,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005439.jpg,,,,,,,,,, +,Rhododendron hylaeum,G. Forrest,24660,19240601,,2120~2425,生灌丛中和林中,,无花无果,https://image.cvh.ac.cn/files/l/PE/00231222.jpg,,,,,,,,,, +毛花杜鹃,Rhododendron hypenanthum,,44-7012,19750605,西藏,3800,山顶苡丛中间,,无花有果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092553.jpg,,,,,,,,,, +毛花杜鹃,Rhododendron hypenanthum,西藏中草药普查队,649,19720629,西藏自治区,4500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/29473.jpg,,,,,,,,,, +毛花杜鹃,Rhododendron hypenanthum,,Q20,19660521,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01518690.jpg,,,,,,,,,, +,Rhododendron inaequale,,,,,,,,,,,,,,,,,,, +雕纹杜鹃,Rhododendron insculptum,禹平华,1284,1957/10/11,贵州省,1550,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0203461.jpg,,,,,,,,,, +雕纹杜鹃,Rhododendron insculptum,陈少卿,16396,1958/8/21,广西,1280,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0213488.jpg,,,,,,,,,, +,Rhododendron johnstoneanum,W.P.Fang,,19350000,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0451112.jpg,,,,,,,,,, +黄管杜鹃,Rhododendron kasoense,"刘成, 蔡杰, 刘恩德",13CS6349,20130525,西藏,,路边山坡灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338231.jpg,,,,,,,,,, +,Rhododendron kasoense,Elizabeth Georgian,48,20110519,云南省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1228135.jpg,,,,,,,,,, +,Rhododendron kasoense,"李渤生,程树志",1304,19821013,西藏自治区,2650,铁杉林缘时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/00256198.jpg,,,,,,,,,, +独龙杜鹃,Rhododendron keleticum,庄平 张超 冯正波,980136,19980925,西藏自治区,3900,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005607.jpg,,,,,,,,,, +独龙杜鹃,Rhododendron keleticum,,8451,19820000,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/066213.jpg,,,,,,,,,, +独龙杜鹃,Rhododendron keleticum,庄平 张超 冯正波,298,20000927,云南省,3200,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005608.jpg,,,,,,,,,, +,Rhododendron kendrickii,青藏队,8265,19820721,云南省,2200,阔叶林间,,无花有果,https://image.cvh.ac.cn/files/l/PE/00266841.jpg,,,,,,,,,, +,Rhododendron kendrickii,郭永杰,张桥蓉,秦少发,张凤琼,16CS14524,20161120,西藏,2995,公路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1439722.jpg,,,,,,,,,, +,Rhododendron keysii,W.P.Fang,,19350715,,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0451128.jpg,,,,,,,,,, +管花杜鹃,Rhododendron keysii,青藏补点组,751588,19750826,西藏自治区,3000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/52207.jpg,,,,,,,,,, +管花杜鹃,Rhododendron keysii,张林、李星月、张晓严,9-148,20180611,西藏,3345,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023681.jpg,,,,,,,,,, +工布杜鹃,Rhododendron kongboense,庄平 张超 冯正波,980102,19980917,西藏自治区,4300,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/019044.jpg,,,,,,,,,, +,Rhododendron kongboense,"Kingdon-Ward, Francis",5850,24-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00010297.jpg,,,,,,,,,, +工布杜鹃,Rhododendron kongboense,"张挺, 张书东, 郭永杰",13CS7584,20130526,西藏,3772,无,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483020.jpg,,,,,,,,,, +,Rhododendron lanigerum,西藏自治区中草药普查队,76,19720226,西藏自治区,3050,乔木林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00256042.jpg,,,,,,,,,, +林生杜鹃,Rhododendron lanigerum,"扎西次仁, 拉穷, 西落",ZhongY523,20090501,西藏,,高山灌丛,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338242.jpg,,,,,,,,,, +林生杜鹃,Rhododendron lanigerum,周仕顺,15023,20180201,云南,1800,石灰山阔叶林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0031006.jpg,,,,,,,,,, +毛冠杜鹃,Rhododendron laudandum,方震东,和光,杨亲二,XZ-113,20070920,西藏自治区,3453,黄背栎林下,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 004189.jpg,,,,,,,,,, +,Rhododendron laudandum,"Ludlow, Francis & Sherriff, George",2160,16-Jun-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00314481.jpg,,,,,,,,,, +小叶杜鹃,Rhododendron laudandum,高信芬、涂卫国、何海、乔永康,6748,20030831,西藏,4370,高山灌丛,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0196349.jpg,,,,,,,,,, +,Rhododendron laudandum var. temoense,"Kingdon-Ward, Francis",5848,24-Jun-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00010306.jpg,,,,,,,,,, +,Rhododendron laudandum var. temoense,,14023,19470627,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/539890.jpg,,,,,,,,,, +鳞腺杜鹃,Rhododendron lepidotum,,123,19560704,云南省 ,2900,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00013974.jpg,,,,,,,,,, +鳞腺杜鹃,Rhododendron lepidotum,George Forrest,21931,22-Jul,E. Tibet and S.W. Ch,9~10,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00107902.jpg,,,,,,,,,, +,Rhododendron lepidotum,,,19590516,云南,3100,松林下,,无花无果,https://image.cvh.ac.cn/files/l/JSPC/JSPC104891.jpg,,,,,,,,,, +,Rhododendron leptocarpum,"Forrest, George",21811,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00129543.jpg,,,,,,,,,, +异鳞杜鹃,Rhododendron leptocarpum,郭永杰,张桥蓉,秦少发,张凤琼,16CS14506,20161119,西藏,2783,针阔混交林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437677.jpg,,,,,,,,,, +,Rhododendron ludlowii,F. Ludlow & G. Sherriff,1895,1936/7/2,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00015459.jpg,,,,,,,,,, +广口杜鹃,Rhododendron ludlowii,关克俭 汪劲武 李朝銮,308,19640418,四川省,500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/78754.jpg,,,,,,,,,, +,Rhododendron ludlowii,PE西藏队,PE6484,20170912,西藏自治区,4530,高山草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333422.jpg,,,,,,,,,, +长蒴杜鹃,Rhododendron mackenzianum,,26418,19250400,,2745,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0481909.jpg,,,,,,,,,, +长蒴杜鹃,Rhododendron mackenzianum,亚吉东,韩周东,谭治刚,20CS18980,20200413,云南,2017,中山湿性常绿阔叶林,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505632.jpg,,,,,,,,,, +尖叶杜鹃花,Rhododendron mackenzianum,,3,19640618,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/064892.jpg,,,,,,,,,, +隐脉杜鹃,Rhododendron maddenii,扎西次仁,ZhongY397,20080904,西藏,,无,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1338274.jpg,,,,,,,,,, +隐脉杜鹃,Rhododendron maddenii,,346,19670601,四国,2000,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/540535.jpg,,,,,,,,,, +,Rhododendron maddenii,青藏队补点组,751723,19750828,西藏自治区,2600,林间空地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00255257.jpg,,,,,,,,,, +滇隐脉杜鹃,Rhododendron maddenii subsp. crassum,庄平 冯正波 张超,20021059,20021005,云南省,2900,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005640.jpg,,,,,,,,,, +,Rhododendron maddenii subsp. crassum,"Delavay, J.M.",2112,1886-6-29,,,,,,https://image.cvh.ac.cn/files/l/P/P00710938.jpg,,,,,,,,,, +滇隐脉杜鹃,Rhododendron maddenii subsp. crassum,庄平 赵志龙,970639,19971015,云南省 ,2750,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/006872.jpg,,,,,,,,,, +,Rhododendron magnificum,张经炜,925,19730802,西藏自治区,2100,沟谷凹地,,无花无果,https://image.cvh.ac.cn/files/l/PE/01792863.jpg,,,,,,,,,, +少花杜鹃,Rhododendron martinianum,J.F. Rock,17068,28-Jun,云南; Yunnan,3850,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108018.jpg,,,,,,,,,, +少花杜鹃,Rhododendron martinianum,J.F.Rock,17068,19280600,云南省 ,3850,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0482443.jpg,,,,,,,,,, +少花杜鹃,Rhododendron martinianum,,21775,19220600,西藏自治区,3050,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0482444.jpg,,,,,,,,,, +,Rhododendron medoense,陈伟烈,10763,19800629,西藏自治区,1800,路边 湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01506119.jpg,,,,,,,,,, +大萼杜鹃,Rhododendron megacelyx,冯国楣,7138,19400830,云南省,2500~3000,沟边,林中,岩壁上,,,https://image.cvh.ac.cn/files/l/KUN/1277957.jpg,,,,,,,,,, +招展杜鹃,Rhododendron megeratum,Joseph F. Rock,23031,May-32,云南、西藏东南; Yunnan-Sout,1350,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108024.jpg,,,,,,,,,, +,Rhododendron megeratum,吴中伦,41188,19590726,四川,4000,冷杉林下,,有花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00030611.jpg,,,,,,,,,, +招展杜鹃,Rhododendron megeratum,庄平 赵志龙,970575,19971015,云南省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/008404.jpg,,,,,,,,,, +,Rhododendron mekongense,H.T.Tsai,58171,19340825,云南省 ,4000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0482450.jpg,,,,,,,,,, +,Rhododendron mekongense,G. Forrest,19912,19210801,西藏自治区,3960~4240,潮湿地灌丛和松林林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/00254790.jpg,,,,,,,,,, +红线弯月杜鹃,Rhododendron mekongense,龙安炳,200812507,20080614,贵州省,1180,灌林,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0006042.jpg,,,,,,,,,, +,Rhododendron mekongense var. melinanthum,G. Forrest,19445,19210613,云南省,3150~3640,"open, grassy on the margins of pine forest.",,有花无果,https://image.cvh.ac.cn/files/l/PE/00254776.jpg,,,,,,,,,, +,Rhododendron mekongense var. melinanthum,G. Forrest,18909,19210601,西藏自治区,,生灌丛林缘和岩石间,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312695.jpg,,,,,,,,,, +密花弯月杜鹃,Rhododendron mekongense var. melinanthum,"蔡杰, 郭永杰, 刘恩德",13CS6930,20130602,西藏,,杜鹃林林缘草地,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338305.jpg,,,,,,,,,, +,Rhododendron mekongense var. rubrolineatum,G. Forrest,13914,19170601,云南省,3640,生松林林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312862.jpg,,,,,,,,,, +,Rhododendron mekongense var. rubrolineatum,"Forrest, George",s.n.,17-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00010066.jpg,,,,,,,,,, +红线弯月杜鹃,Rhododendron mekongense var. rubrolineatum,龙安炳,200812507,20080614,贵州省,1180,灌林,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0006042.jpg,,,,,,,,,, +一朵花杜鹃,Rhododendron monanthum,田亚军,144,20180523,贵州,1765,,,无花有果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0010128.jpg,,,,,,,,,, +一朵杜鹃花,Rhododendron monanthum,庄平 冯正波 张超,20021058,20021005,云南省,2900,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005660.jpg,,,,,,,,,, +一朵花杜鹃,Rhododendron monanthum,孙航,周浙昆,俞宏渊,4661,19930317,西藏自治区,2100,on slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/192485.jpg,,,,,,,,,, +毛棉杜鹃花,Rhododendron moulmainense,黄全,2915,19631222,海南省,1300,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0482990.jpg,,,,,,,,,, +毛棉杜鹃花,Rhododendron moulmainense,梁向日 ,63647,,海南岛,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00043947.jpg,,,,,,,,,, +毛棉杜鹃花,Rhododendron moulmainense,胡啟明,3645,19580719,福建省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00043962.jpg,,,,,,,,,, +,Rhododendron nayarii,,,,,,,,,,,,,,,,,,, +,Rhododendron neriiflorum,"Delavay, J.M.",294,1883-3-31,,,,,,https://image.cvh.ac.cn/files/l/P/P00710988.jpg,,,,,,,,,, +火红杜鹃,Rhododendron neriiflorum,J.F. Rock,3146,1922/4/4,云南; Yunnan,9500,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108129.jpg,,,,,,,,,, +火红杜鹃,Rhododendron neriiflorum,王泓,558,20050504,贵州省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/HTC/HTC0002414.jpg,,,,,,,,,, +腺房火红杜鹃,Rhododendron neriiflorum var. appropinquans,郭永杰,张桥蓉,秦少发,张凤琼,16CS14503,20161119,西藏,2750,公路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437679.jpg,,,,,,,,,, +,Rhododendron neriifolium,,,,,,,,,,,,,,,,,,, +,Rhododendron nivale,王乾、顾健,SCW0098,20200531,四川,3803,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274769.jpg,,,,,,,,,, +雪层杜鹃,Rhododendron nivale,高连明,严丽君,吴之坤,GLM-123350,20120618,云南省 ,4320,高山杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1242495.jpg,,,,,,,,,, +南方雪层杜鹃,Rhododendron nivale,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20916,20200701,西藏,3980,灌丛中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507137.jpg,,,,,,,,,, +南方雪层杜鹃花,Rhododendron nivale subsp. australe,地植物组,52,19810621,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/065558.jpg,,,,,,,,,, +,Rhododendron nivale subsp. australe,PE西藏队,PE5403,20170830,西藏自治区,5067,高山灌丛,,无花有果,https://image.cvh.ac.cn/files/l/PE/02333486.jpg,,,,,,,,,, +南方雪层杜鹃花,Rhododendron nivale subsp. australe,地植物组,,19810902,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/065557.jpg,,,,,,,,,, +,Rhododendron nivale subsp. boreale,J. F. Rock,9312,23-Jun,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00015476.jpg,,,,,,,,,, +北方雪层杜鹃,Rhododendron nivale subsp. boreale,高连明,刘杰,GLM-08854,20080522,云南省 ,3910,湖边,杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1240964.jpg,,,,,,,,,, +,Rhododendron nivale subsp. boreale,,18982,19310618,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00024595.jpg,,,,,,,,,, +,Rhododendron niveum,"李渤生,程树志",4468,19830303,西藏自治区,2800~2900,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00313461.jpg,,,,,,,,,, +西藏毛脉杜鹃,Rhododendron niveum,"扎西次仁, 拉穷, 西落",ZhongY560,20090502,西藏,,高山灌丛草原,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338365.jpg,,,,,,,,,, +木兰杜鹃,Rhododendron nuttallii,郭永杰;张桥蓉;秦少发;张凤琼,16CS14543,20161122,西藏,1631,河边孤岛状大岩石上,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1480869.jpg,,,,,,,,,, +木兰杜鹃,Rhododendron nuttallii,方震东、和光,XZ-442,20070929,西藏自治区,,云南松林下,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 003930.jpg,,,,,,,,,, +,Rhododendron nuttallii,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",13077,3-Jun-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00000424.jpg,,,,,,,,,, +钝叶杜鹃,Rhododendron obtusum,,2954,19600423,浙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00137970.jpg,,,,,,,,,, +钝叶杜鹃,Rhododendron obtusum,赵子恩,537,19620413,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0089689.jpg,,,,,,,,,, +,Rhododendron obtusum,"M.Maki, J.Yokoyama et al.",997909,19990709,,750,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0483459.jpg,,,,,,,,,, +山育杜鹃,Rhododendron oreotrephes,方震东、和光、木劲华,XZ-185,20070922,西藏自治区,3089,林芝云杉林下,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003478.jpg,,,,,,,,,, +山育杜鹃,Rhododendron oreotrephes,方震东,96098,19950524,云南省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006361.jpg,,,,,,,,,, +山育杜鹃,Rhododendron oreotrephes,刘成,亚吉东,何华杰,李昌洪,杨永平,杨云珊,16CS11830,20161111,西藏,2768,路边松林下,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1436528.jpg,,,,,,,,,, +乳突杜鹃,Rhododendron papillatum,"高连明,刘杰,张书东",GLM-081850,20080923,西藏自治区,2920,原始森林、针阔叶混交林,,,https://image.cvh.ac.cn/files/l/KUN/1273251.jpg,,,,,,,,,, +乳突杜鹃,Rhododendron papillatum,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,271,20120730,西藏,,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/BJM/0230286.jpg,,,,,,,,,, +,Rhododendron parryae,,,,,,,,,,,,,,,,,,, +假单花杜鹃,Rhododendron pemakoense,俞德俊,s.n.,19480101,,,植物园栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/00257074.jpg,,,,,,,,,, +假单花杜鹃,Rhododendron pemakoense,青藏队,5429,19750602,西藏自治区,5200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/48636.jpg,,,,,,,,,, +凸叶杜鹃,Rhododendron pendulum,侯元同,郭成勇,侯春丽,201605159-B-3,20160430,四川省,1810.76,干池内水岸边,灌木,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0024389.jpg,,,,,,,,,, +凸叶杜鹃,Rhododendron pendulum,"高连明,刘杰,张书东",GLM-081876,20080923,西藏自治区,2910,原始森林,针阔叶混交林,,,https://image.cvh.ac.cn/files/l/KUN/1273261.jpg,,,,,,,,,, +凸叶杜鹃,Rhododendron pendulum,张林、李星月、张晓严,3-170,20180612,西藏,4581,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023703.jpg,,,,,,,,,, +凝毛杜鹃,Rhododendron phaeochrysum var. agglutinatum,张灿明,89018,19890623,云南省,4450,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002347.jpg,,,,,,,,,, +凝毛杜鹃,Rhododendron phaeochrysum var. agglutinatum,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 杨云珊",16CS14370,20161109,西藏,3687,林下灌丛中,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1444933.jpg,,,,,,,,,, +,Rhododendron phaeochrysum var. agglutinatum,"Forrest, George",13971,17-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001223.jpg,,,,,,,,,, +毡毛栎叶杜鹃,Rhododendron phaeochrysum var. levistratum,方震东、刘琳、李红、和光、史小武、赵卫东、陈洁,K-2366,20021014,云南省,4146,小檗-柳高山柏群落,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007349.jpg,,,,,,,,,, +,Rhododendron phaeochrysum var. levistratum,王乾、顾健,SCW1708,20200617,四川,3608,丽江云杉、红杉、黄背栎林,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274341.jpg,,,,,,,,,, +,Rhododendron phaeochrysum var. levistratum,"Forrest, George",14024,17-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001550.jpg,,,,,,,,,, +海绵杜鹃,Rhododendron pingianum,王泓,587,20050504,贵州省,2250,,,无花无果,https://image.cvh.ac.cn/files/l/HTC/HTC0010502.jpg,,,,,,,,,, +海绵杜鹃,Rhododendron pingianum,,16558,,江西,,,,有花无果,https://image.cvh.ac.cn/files/l/JXU/JXU0020807.jpg,,,,,,,,,, +海绵杜鹃,Rhododendron pingianum,"陈家辉, 王赟, 刘德团等",YangYP-Q-3173,20100915,西藏,,高山灌丛,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1338432.jpg,,,,,,,,,, +杯萼杜鹃,Rhododendron pocophorum,Joseph F. Rock,22002,May-32,西藏; Southeast Tibet,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108234.jpg,,,,,,,,,, +,Rhododendron pocophorum,"Forrest, George",21713,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001415.jpg,,,,,,,,,, +杯萼杜鹃,Rhododendron pocophorum,,19977,,西藏自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0484112.jpg,,,,,,,,,, +,Rhododendron pocophorum var. hemidartum,"Forrest, George",20028,21-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00001064.jpg,,,,,,,,,, +,Rhododendron pocophorum var. hemidartum,G. Forrest,20344,19210901,西藏自治区,3940,生山谷开阔地林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/00256596.jpg,,,,,,,,,, +腺柄杯萼杜鹃,Rhododendron pocophorum var. hemidartum,彭玉兰、郑臣臣、张君议,THP-KD-3584,20170718,四川,3507,,灌木,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251572.jpg,,,,,,,,,, +,Rhododendron polycladum,"Delavay, J.M.",,1884-5-26,,,,,,https://image.cvh.ac.cn/files/l/P/P00714104.jpg,,,,,,,,,, +多枝杜鹃,Rhododendron polycladum,方震东、谢爱芳、海仙、李磊,HP-658,20110511,云南省,3524,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006424.jpg,,,,,,,,,, +多枝杜鹃,Rhododendron polycladum,方震东,和,木,2002-38,20020527,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006354.jpg,,,,,,,,,, +樱草杜鹃,Rhododendron primuliflorum,G. Forrest,20465,19210601,云南省,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/PE/00256559.jpg,,,,,,,,,, +微毛樱草杜鹃,Rhododendron primuliflorum,王为义等,140,19850613,青海省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/109545.jpg,,,,,,,,,, +樱草杜鹃,Rhododendron primuliflorum,廉永善 吉占和 夏泉,356,19800730,甘肃,3300,杜鹃冷杉林下,,无花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092318.jpg,,,,,,,,,, +,Rhododendron primuliflorum var. cephalanthoides,G. Forrest,20452,19210601,云南省,3300~3640,生岩坡和悬崖,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312641.jpg,,,,,,,,,, +微毛樱草杜鹃,Rhododendron primuliflorum var. cephalanthoides,杨永昌,1091,19650707,青海省,4700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/131510.jpg,,,,,,,,,, +,Rhododendron primuliflorum var. cephalanthoides,"李渤生,程树志",5516,19830713,西藏自治区,4100,高山,冰碛顶,,无花无果,https://image.cvh.ac.cn/files/l/PE/00314853.jpg,,,,,,,,,, +,Rhododendron protistum,"Forrest, George",19335,21-Mar,,,,,,https://image.cvh.ac.cn/files/l/E/E00001017.jpg,,,,,,,,,, +大树杜鹃,Rhododendron protistum,庄平 冯正波 张超,20021028,20021001,云南省,2500,,,无花无果,https://image.cvh.ac.cn/files/l/WCSBG/005665.jpg,,,,,,,,,, +翘首杜鹃,Rhododendron protistum,C.W.Wang,67037,19351000,云南省 ,3000,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00028826.jpg,,,,,,,,,, +,Rhododendron pruniflorum,高连明,蔡兆明,GLM-102846,20100528,西藏自治区,3500,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241026.jpg,,,,,,,,,, +桃花杜鹃,Rhododendron pruniflorum,王可,3481,20190415,河南,72,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1903481.jpg,,,,,,,,,, +陇蜀杜鹃,Rhododendron przewalskii,J.F. Rock,17473,29-Jul,四川; Szechwan,4300,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108255.jpg,,,,,,,,,, +陇蜀杜鹃,Rhododendron przewalskii,Przewalski,,,甘肃; Kansu,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108258.jpg,,,,,,,,,, +陇蜀杜鹃,Rhododendron przewalskii,Hao-Kin-Shen,4412,1932/9/9,陕西; Shensi,2700,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108256.jpg,,,,,,,,,, +矮小杜鹃,Rhododendron pumilum,Yarlung Zangbo Expedition Team,雅鲁藏布考察队,[YANG Yong,,459,20120801,西藏,4150,高山灌丛,灌木,有花有果,https://image.cvh.ac.cn/files/l/BJM/246024.jpg,,,,,,,,,, +矮小杜鹃,Rhododendron pumilum,,22361,19590710,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00044327.jpg,,,,,,,,,, +矮小杜鹃,Rhododendron pumilum,Ward,8432,19280617,西藏自治区,3940,沼山脊散生于别的垫状灌木丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00257071.jpg,,,,,,,,,, +卷叶杜鹃,Rhododendron roxieanum,,20425,19210600,西藏自治区,3660,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0484675.jpg,,,,,,,,,, +,Rhododendron roxieanum,George Forrest,25739,24-Jul,E. Tibet and S.W. Ch,1400,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108324.jpg,,,,,,,,,, +卷叶杜鹃,Rhododendron roxieanum,"孔航辉, 任琛",YangQE2780,20090928,云南,,路旁云南松林中,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1338499.jpg,,,,,,,,,, +,Rhododendron roxieanum var. cucullatum,"Forrest, George",16469,18-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001211.jpg,,,,,,,,,, +兜尖卷叶杜鹃,Rhododendron roxieanum var. cucullatum,J.F.Rock,17106,19280700,云南省 ,4150,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0484679.jpg,,,,,,,,,, +,Rhododendron roxieanum var. cucullatum,,84-595,0,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/543518.jpg,,,,,,,,,, +,Rhododendron rubiginosum,杨成华,9927,20150415,贵州,,,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0290159.jpg,,,,,,,,,, +红棕杜鹃,Rhododendron rubiginosum,云南大学生物系,191,19570814,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00013927.jpg,,,,,,,,,, +,Rhododendron rubiginosum,包成章,63-10312,19630913,云南省,3400,缓坡岩石疏林下,,有花有果,https://image.cvh.ac.cn/files/l/KUN/543740.jpg,,,,,,,,,, +木里多色杜鹃,Rhododendron rupicola,刘德团,常宇航,敖艺山,MYP20207,20201113,四川,3545,草坡杜鹃灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1550498.jpg,,,,,,,,,, +木里多色杜鹃,Rhododendron rupicola,G.Forrest,21345,19220600,西藏自治区,3660,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0484865.jpg,,,,,,,,,, +木里多色杜鹃,Rhododendron rupicola,冯正波,20041021,20040925,四川省,3700,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/005809.jpg,,,,,,,,,, +,Rhododendron rupicola var. chryseum,"Kingdon-Ward, Francis",540,13-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00010312.jpg,,,,,,,,,, +金黄杜鹃,Rhododendron rupicola var. chryseum,高连明,严丽君,吴之坤,GLM-123926,20120712,西藏自治区,3906,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1241894.jpg,,,,,,,,,, +金黄多色杜鹃,Rhododendron rupicola var. chryseum,"杨青松, 星耀武, 苏涛",ZhouZK-07ZX-0370,20080915,云南,,高山灌丛草甸,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1338517.jpg,,,,,,,,,, +平卧怒江杜鹃,Rhododendron saluenense,梅里队,25010,19920604,云南省,3300,亚高山河岸灌丛,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006231.jpg,,,,,,,,,, +,Rhododendron saluenense,青藏队,10595,19820920,西藏自治区,0,山坡岩石缝,,无花有果,https://image.cvh.ac.cn/files/l/KUN/544178.jpg,,,,,,,,,, +平卧怒江杜鹃,Rhododendron saluenense,陈学林,90253,19900729,甘肃,650,林下,,无花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092323.jpg,,,,,,,,,, +平卧怒江杜鹃,Rhododendron saluenense var. prostratum,高连明,严丽君,吴之坤,GLM-123362,20120618,云南省 ,4292,高山灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1242479.jpg,,,,,,,,,, +平卧怒江杜鹃,Rhododendron saluenense var. prostratum,,7130,19610520,四川,2800,山坡疏林中,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092322.jpg,,,,,,,,,, +,Rhododendron saluenense var. prostratum,G. Forrest,20422,19210601,四川省,4240,高山草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00264599.jpg,,,,,,,,,, +,Rhododendron sanguineum,J.F.Rock,23244,193205,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/544383.jpg,,,,,,,,,, +,Rhododendron sanguineum,"Forrest, George",16738,18-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001100.jpg,,,,,,,,,, +血红杜鹃,Rhododendron sanguineum,方震东、谢爱芳、海仙、李红,DJDC-576,20160623,云南省,4015,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000201.jpg,,,,,,,,,, +,Rhododendron sanguineum var. cloiophorum,G.Forrest,14269,191707,内蒙古自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/483273.jpg,,,,,,,,,, +退色血红杜鹃,Rhododendron sanguineum var. cloiophorum,侯元同,郭成勇,侯春丽,201605109-3,20160430,四川省,1817.76,路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0024386.jpg,,,,,,,,,, +,Rhododendron sanguineum var. cloiophorum,"Forrest, George",14270,17-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001433.jpg,,,,,,,,,, +变色血红杜鹃,Rhododendron sanguineum var. didymoides,T.T.Yu,20758,19381118,云南省 ,3000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0484900.jpg,,,,,,,,,, +,Rhododendron sanguineum var. didymoides,G.Forrest,21746,192206,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/544318.jpg,,,,,,,,,, +,Rhododendron sanguineum var. didymoides,"Forrest, George",25507,24-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001105.jpg,,,,,,,,,, +,Rhododendron sanguineum var. didymum,俞德浚,20705,19371015,云南省,3500~3200,margin of bamboo thickets,,有花有果,https://image.cvh.ac.cn/files/l/KUN/544292.jpg,,,,,,,,,, +,Rhododendron sanguineum var. didymum,G. Forrest,20220,19210901,西藏自治区,4240~4750,"Moist, stony alpine meadows and slopes",,无花无果,https://image.cvh.ac.cn/files/l/PE/00264754.jpg,,,,,,,,,, +,Rhododendron sanguineum var. haemaleum,"Forrest, George",18675,1919,,,,,,https://image.cvh.ac.cn/files/l/E/E00001429.jpg,,,,,,,,,, +紫血杜鹃,Rhododendron sanguineum var. haemaleum,方震东、谢爱芳、海仙、李红,DJDC-596,20160621,云南省,3721,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000025.jpg,,,,,,,,,, +,Rhododendron sanguineum var. haemaleum,G. Forrest,21735,19220601,西藏自治区,4240,高山石坡或悬崖,,有花无果,https://image.cvh.ac.cn/files/l/PE/00264769.jpg,,,,,,,,,, +,Rhododendron sanguineum var. himertum,"Forrest, George",19153,19-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001435.jpg,,,,,,,,,, +,Rhododendron sanguineum var. himertum,J.F.Rock,23244,193205,西藏自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/544383.jpg,,,,,,,,,, +,Rhododendron sanguineum var. himertum,G.Forrest,19153,191907,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/483278.jpg,,,,,,,,,, +,Rhododendron santapaui,,,,,,,,,,,,,,,,,,, +,Rhododendron seinghkuense,俞德俊,19567,19370802,云南省,2000~2200,林下砂质岩石上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00264871.jpg,,,,,,,,,, +黄花泡泡叶杜鹃,Rhododendron seinghkuense,"钟扬, 扎西次仁",ZhongY798,20091024,西藏,,针阔混交林,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1338527.jpg,,,,,,,,,, +,Rhododendron selense subsp. dasycladum,"Forrest, George",10430,13-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001471.jpg,,,,,,,,,, +毛枝多变杜鹃,Rhododendron selense subsp. dasycladum,方震东,96019,19960525,云南省,3500,杜鹃林下,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006395.jpg,,,,,,,,,, +,Rhododendron selense subsp. dasycladum,青藏队,10274,19820909,西藏自治区,4200,山坡,灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00313720.jpg,,,,,,,,,, +刚毛杜鹃,Rhododendron setosum,蓝开敏,84-209,19840820,贵州省,,山地、山谷,灌木,无花有果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0027042.jpg,,,,,,,,,, +刚毛杜鹃,Rhododendron setosum,西藏生物所植物组,52,19880712,西藏自治区,4250,高山灌丛草甸,灌木,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0005481.jpg,,,,,,,,,, +刚毛杜鹃,Rhododendron setosum,,,Oct-32,,1600,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108387.jpg,,,,,,,,,, +银灰杜鹃,Rhododendron sidereum,"马永鹏, 刘德团, 常宇航",MYP2019108,20191011,云南,3100,高山杜鹃灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1483213.jpg,,,,,,,,,, +银灰杜鹃,Rhododendron sidereum,W.P.Fang,,19350521,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0485083.jpg,,,,,,,,,, +银灰杜鹃,Rhododendron sidereum,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201360,20200730,西藏,2279,林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1506749.jpg,,,,,,,,,, +锈叶杜鹃,Rhododendron siderophyllum,耿玉英 朱大海 李小杰,20070283,20070429,四川省,2550,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/015277.jpg,,,,,,,,,, +锈叶杜鹃,Rhododendron siderophyllum,元江县普查队,5304280654,20120612,云南省,2200,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0014628.jpg,,,,,,,,,, +锈叶杜鹃,Rhododendron siderophyllum,左家哺,86032,19860403,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0014670.jpg,,,,,,,,,, +,Rhododendron sinogrande,George Forrest,22761,19221000,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00312104.jpg,,,,,,,,,, +,Rhododendron sinogrande,"Forrest, George",21705,22-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001381.jpg,,,,,,,,,, +凸尖杜鹃,Rhododendron sinogrande,方震东,99436,19990425,云南,2300~2600,,灌木,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008662.jpg,,,,,,,,,, +,Rhododendron sperabile,F.Ludlow,15296,19470621,香港,1400,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/483102.jpg,,,,,,,,,, +,Rhododendron sperabile,"Forrest, George",25447,24-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00001143.jpg,,,,,,,,,, +维西纯红杜鹃,Rhododendron sperabile,J.F.Rock,18466,19290900,云南省 ,3230,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0485974.jpg,,,,,,,,,, +,Rhododendron sperabile var. weihsiense,"Forrest, George",25447,24-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00001143.jpg,,,,,,,,,, +,Rhododendron sperabile var. weihsiense,Forrest,30912,0,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/545418.jpg,,,,,,,,,, +维西纯红杜鹃,Rhododendron sperabile var. weihsiense,J.F.Rock,18466,19290900,云南省 ,3230,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0485974.jpg,,,,,,,,,, +多趣杜鹃花,Rhododendron stewartianum,地植物组,,19810806,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/065862.jpg,,,,,,,,,, +,Rhododendron stewartianum,"Forrest, George",5069,4-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00001277.jpg,,,,,,,,,, +多趣杜鹃,Rhododendron stewartianum,G. Forrest,22610,19221001,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00268496.jpg,,,,,,,,,, +,Rhododendron subansiriense,,,,,,,,,,,,,,,,,,, +,Rhododendron succothii,B. Bartholomew & T. Y. Tse,1705,19840519,,4000,生杜鹃丛林中,伴有散生的 Juniperous,,有花无果,https://image.cvh.ac.cn/files/l/PE/00268570.jpg,,,,,,,,,, +白喇叭杜鹃,Rhododendron taggianum,"李渤生,程树志",2932,19830312,西藏自治区,1500,常绿阔叶林,树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00268670.jpg,,,,,,,,,, +白喇叭杜鹃,Rhododendron taggianum,周应再,Zhyz-431,20090120,云南,,高山灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1338590.jpg,,,,,,,,,, +白喇叭杜鹃花,Rhododendron taggianum,,,19780802,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/066915.jpg,,,,,,,,,, +,Rhododendron tanastylum,黄向旭等,10445,20110620,广东省,,山地,路旁,山谷,疏林,,无花无果,https://image.cvh.ac.cn/files/l/PE/01952985.jpg,,,,,,,,,, +,Rhododendron tanastylum,G. Forrest,18253,19220000,湖南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00199433.jpg,,,,,,,,,, +林芝光柱杜鹃,Rhododendron tanastylum,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,1572,20130515,西藏,,林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230320.jpg,,,,,,,,,, +林芝光柱杜鹃,Rhododendron tanastylum var. lingzhiense,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,1572,20130515,西藏,,林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230320.jpg,,,,,,,,,, +,Rhododendron tanastylum var. lingzhiense,中植联广西队,3214,20080814,广西壮族自治区,1600,酸性土壤,,无花有果,https://image.cvh.ac.cn/files/l/PE/01952989.jpg,,,,,,,,,, +,Rhododendron tanastylum var. lingzhiense,M.Iabbe Delavay,4402,18880806,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01920604.jpg,,,,,,,,,, +狭萼杜鹃,Rhododendron tapetiforme,方震东,方K4896,20031007,云南省,4400,高山杜鹃林,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 006530.jpg,,,,,,,,,, +,Rhododendron tapetiforme,"Kingdon-Ward, Francis",795,18-Jul-13,,,,,,https://image.cvh.ac.cn/files/l/E/E00010212.jpg,,,,,,,,,, +狭萼杜鹃,Rhododendron tapetiforme,方震东,方K4911,20021002,云南,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG008510.jpg,,,,,,,,,, +,Rhododendron temenium var. dealbatum,"Forrest, George",18936,19-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00001121.jpg,,,,,,,,,, +粉红滇藏杜鹃,Rhododendron temenium var. dealbatum,方震东、谢爱芳、海仙、李红,DJDC-607,20160621,云南省,3903,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000049.jpg,,,,,,,,,, +粉红滇藏杜鹃,Rhododendron temenium var. dealbatum,J.F.Rock,22070,19320500,西藏自治区,4270,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0527659.jpg,,,,,,,,,, +,Rhododendron temenium var. gilvum,G. Forrest,19023,19190701,云南省,,山谷边悬崖边和岩坡上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00266471.jpg,,,,,,,,,, +,Rhododendron temenium var. gilvum,"Forrest, George",22701,22-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00327185.jpg,,,,,,,,,, +黄花滇藏杜鹃,Rhododendron temenium var. gilvum,J.F.Rock,22271,19320500,西藏自治区,3965,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0527661.jpg,,,,,,,,,, +灰被杜鹃,Rhododendron tephropeplum,Forrest,21906,,云南; Yunnan,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108610.jpg,,,,,,,,,, +灰被杜鹃,Rhododendron tephropeplum,George Forrest,25714,24-Aug,E. Tibet and S.W. Ch,1300,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108608.jpg,,,,,,,,,, +灰被杜鹃,Rhododendron tephropeplum,Joseph F. Rock,22209,May-32,西藏; Southeast Tibet,1400,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108607.jpg,,,,,,,,,, +半圆叶杜鹃,Rhododendron thomsonii,Forrest,4137,,西藏; Tibet,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108615.jpg,,,,,,,,,, +,Rhododendron thomsonii,"Delavay, J.M.",3947,1889-8-29,,,,,,https://image.cvh.ac.cn/files/l/P/P00689289.jpg,,,,,,,,,, +半圆叶杜鹃,Rhododendron thomsonii,王辰,,20110621,西藏,,,,,https://image.cvh.ac.cn/files/l/BNU/0011453.jpg,,,,,,,,,, +小半圆叶杜鹃,Rhododendron thomsonii subsp. lopsangianum,庄平 冯正波 张超,980147,19980925,西藏自治区,3900,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005693.jpg,,,,,,,,,, +,Rhododendron thomsonii subsp. lopsangianum,"Ludlow, Francis & Sherriff, George",1718,28-May-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00001562.jpg,,,,,,,,,, +,Rhododendron titapuriense,,,,,,,,,,,,,,,,,,, +,Rhododendron traillianum var. dictyotum,G.Forrest,17332,191810,香港,3600~2700,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/483331.jpg,,,,,,,,,, +,Rhododendron traillianum var. dictyotum,,14487,0,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/546436.jpg,,,,,,,,,, +棕背川滇杜鹃,Rhododendron traillianum var. dictyotum,方震东,579,19880523,云南省,3730,落叶松-杜鹃林,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005794.jpg,,,,,,,,,, +糙毛杜鹃,Rhododendron trichocladum,四川队 汪劲武、李朝銮、关克俭,1210,19640706,四川,1950,,灌木,,https://image.cvh.ac.cn/files/l/PEY/PEY0065987.jpg,,,,,,,,,, +,Rhododendron trichocladum,陈舜礼,,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00020516.jpg,,,,,,,,,, +,Rhododendron trichocladum,"Delavay, J.M.",,1885-6-5,,,,,,https://image.cvh.ac.cn/files/l/P/P00689300.jpg,,,,,,,,,, +三花杜鹃,Rhododendron triflorum,,,,,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00108624.jpg,,,,,,,,,, +三花杜鹃,Rhododendron triflorum,蒋兴麐,34194,19530521,四川,2000,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SN/SN014997.jpg,,,,,,,,,, +三花杜鹃,Rhododendron triflorum,侯小琪,CS2014129,20140329,贵州,,水旁路旁,灌木,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0000453.jpg,,,,,,,,,, +,Rhododendron trilectorum,"李渤生,程树志",5359,19830704,西藏自治区,3800,高山,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/00269319.jpg,,,,,,,,,, +,Rhododendron tsariense,PE西藏考察队,7188,20180612,西藏自治区,3045~3398,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334448.jpg,,,,,,,,,, +,Rhododendron tsariense,"Ludlow, Francis & Sherriff, George",1636,21-May-36,,,,,,https://image.cvh.ac.cn/files/l/E/E00001410.jpg,,,,,,,,,, +白钟杜鹃,Rhododendron tsariense,"扎西次仁, 拉穷, 西落",ZhongY516,20090501,西藏,,针阔混交林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338626.jpg,,,,,,,,,, +,Rhododendron tsariense var. trimoense,,,,,,,,,,,,,,,,,,, +,Rhododendron tubiforme,,,,,,,,,,,,,,,,,,, +紫玉盘杜鹃,Rhododendron uvariifolium,方震东、和光、杨亲二,XZ-184,20070922,西藏自治区,3089,林芝云杉林下,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 005875.jpg,,,,,,,,,, +紫玉盘杜鹃,Rhododendron uvariifolium,方震东、刘琳、李红、和光、史小武、赵卫东、陈洁,K-2009,20020927,云南省,3935,高山栎林,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007240.jpg,,,,,,,,,, +紫玉盘杜鹃,Rhododendron uvariifolium,"拉穷, 西落",ZhongY484,20090605,西藏,,高山灌丛,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1338630.jpg,,,,,,,,,, +越桔杜鹃,Rhododendron vaccinioides,任,,19980000,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00015340.jpg,,,,,,,,,, +越橘杜鹃,Rhododendron vaccinioides,,13472,,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00020662.jpg,,,,,,,,,, +越桔杜鹃,Rhododendron vaccinioides,海仙、方震东、刘琳、马宗灵,FW2009-134,20090402,云南省,2251,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001643.jpg,,,,,,,,,, +白毛杜鹃,Rhododendron vellereum,伍煜庭、赵清盛,111006,19740518,四川省,2300,阳坡灌丛中,灌木,,https://image.cvh.ac.cn/files/l/ZM/ZMNH0027368.jpg,,,,,,,,,, +白毛杜鹃,Rhododendron vellereum,Yarlung Zangbo Expedition Team,雅鲁藏布考察队,[YANG Yong,,1571,20130515,西藏,2134,林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/BJM/246062.jpg,,,,,,,,,, +白毛杜鹃,Rhododendron vellereum,庄平 冯正波 张超,980118,19980923,西藏自治区,3200,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005624.jpg,,,,,,,,,, +,Rhododendron vesiculiferum,俞德俊,19650,19370805,云南省,2500,混交林下,,无花无果,https://image.cvh.ac.cn/files/l/PE/00269586.jpg,,,,,,,,,, +柳条杜鹃,Rhododendron virgatum,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,1568,20130515,西藏,,林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230319.jpg,,,,,,,,,, +柳条杜鹃,Rhododendron virgatum,方震东、方晔,HP-1316,20180426,云南,3090,,灌木,有花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009625.jpg,,,,,,,,,, +柳条杜鹃,Rhododendron virgatum,庄平 张超 冯正波,261,20000923,云南省,2700,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/005599.jpg,,,,,,,,,, +簇毛杜鹃,Rhododendron wallichii,方文培,,19350325,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00044520.jpg,,,,,,,,,, +簇毛杜鹃,Rhododendron wallichii,方震东、和光、杨亲二,XZ-150,20070921,西藏自治区,4157,长苞冷杉林下,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002482.jpg,,,,,,,,,, +簇毛杜鹃,Rhododendron wallichii,陈晓澄、肖洒等,14273,20190611,青海,3450,杜鹃花灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023070.jpg,,,,,,,,,, +,Rhododendron walongense,F. Kingdon-Ward,19259,1950/3/28,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00015557.jpg,,,,,,,,,, +宏钟杜鹃,Rhododendron wightii,何铸,,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00126496.jpg,,,,,,,,,, +宏钟杜鹃,Rhododendron wightii,"何华杰|6148, 张书东|5435",81334,20080923,西藏,,林缘,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1338660.jpg,,,,,,,,,, +宏钟杜鹃,Rhododendron wightii,PE西藏考察队,7202,20180612,西藏自治区,3045~3398,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02334655.jpg,,,,,,,,,, +圆叶杜鹃,Rhododendron williamsianum,青藏队,1021,19740913,西藏自治区,3200,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01518974.jpg,,,,,,,,,, +圆叶杜鹃,Rhododendron williamsianum,刘昂,LA0064,20180514,四川,1600,,木本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI064589.jpg,,,,,,,,,, +圆叶杜鹃,Rhododendron williamsianum,杨光明,SCSB-W-1488,20081009,云南,,高山栎灌丛,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1338662.jpg,,,,,,,,,, +,Rhododendron xanthocodon,R. E. Cooper,2154,19140922,,3790,生裸子植物林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00312045.jpg,,,,,,,,,, +,Rhododendron xanthocodon,高连明,马朋飞,蔡兆明,GLM-102765,20100525,西藏自治区,2820,林缘,岩石上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1242094.jpg,,,,,,,,,, +,Rhododendron xanthocodon,高连明,马朋飞,蔡兆明,GLM-102670,20100517,四川省,3880,高山杜鹃灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1240984.jpg,,,,,,,,,, +鲜黄杜鹃,Rhododendron xanthostephanum,蒋兴鹿,33773,19530409,四川省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0528158.jpg,,,,,,,,,, +,Rhododendron xanthostephanum,"Delavay, J.M.",4728,1889-4-30,,,,,,https://image.cvh.ac.cn/files/l/P/P00689355.jpg,,,,,,,,,, +鲜黄杜鹃,Rhododendron xanthostephanum,T.T.Yu,20562,19381007,云南省 ,1500,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0528162.jpg,,,,,,,,,, +云南杜鹃,Rhododendron yunnanense,耿玉英 赵志龙 冯正波,990003,19990430,四川省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/006983.jpg,,,,,,,,,, +云南杜鹃,Rhododendron yunnanense,,6584,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00019328.jpg,,,,,,,,,, +云南杜鹃,Rhododendron yunnanense,林业部林业科学研究所标本室,,1955XXXX,四川云南,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00030249.jpg,,,,,,,,,, +,Rhododendron × bathyphyllm,,,,,,,,,,,,,,,,,,, +,Rhododendron × erythrocalyx,,,,,,,,,,,,,,,,,,, +盾片蛇菰,Rhopalocnemis phalloides,高天刚,1367,19980607,云南省,2000,山脊林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/02100321.jpg,,,,,,,,,, +盾片蛇菰,Rhopalocnemis phalloides,左景烈,23369,19330720,广西壮族自治区,500,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0383250.jpg,,,,,,,,,, +,Rhynchoglossum lazulinum,,,,,,,,,,,,,,,,,,, +尖舌苣苔,Rhynchoglossum obliquum,建水县普查队,5325240780,20191101,云南,1168,林中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1524909.jpg,,,,,,,,,, +尖舌苣苔,Rhynchoglossum obliquum,,486,19781017,四川,1800,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717901166.jpg,,,,,,,,,, +全唇尖舌苣苔,Rhynchoglossum obliquum,王印政,92021,19921103,广西壮族自治区,800,石灰岩洞内,潮湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/00155795.jpg,,,,,,,,,, +,Rhynchotechum calycinum,,,,,,,,,,,,,,,,,,, +椭圆线柱苣苔,Rhynchotechum ellipticum,武全安,9457,19590615,云南省,1350,林内,阴湿地,亚灌木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00243558.jpg,,,,,,,,,, +椭圆线柱苣苔,Rhynchotechum ellipticum,刘逸嵘、刘佳、潘嘉文、叶矾、冯璐、刘忠成,440224181204025LY,20181204,广东,333,野生,湿生,阴性,微温植物,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/SYS/SYS00234925.jpg,,,,,,,,,, +椭圆线柱苣苔,Rhynchotechum ellipticum,刀志灵;蔡磊;张品;杨静;杨佳俊;李云猛,KIBDZL028B03,20170831,云南,1037,林缘沟边,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1562424.jpg,,,,,,,,,, +,Rhynchotechum nirijuliense,,,,,,,,,,,,,,,,,,, +线柱苣苔,Rhynchotechum obovatum,,,19580710,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00030607.jpg,,,,,,,,,, +线柱苣苔,Rhynchotechum obovatum,青藏队,1553,19740804,西藏自治区,860,常绿阔叶林中,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0208941.jpg,,,,,,,,,, +线柱苦苣苔,Rhynchotechum obovatum,蓝开敏,890291,19890501,贵州省,1457,,,无花无果,https://image.cvh.ac.cn/files/l/GZAC/GZAC0017491.jpg,,,,,,,,,, +,Rhynchotechum parviflorum,,3035,18900000,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0551599.jpg,,,,,,,,,, +毛线柱苣苔,Rhynchotechum vestitum,胡君,熊豫宁,陈庆恒,王东超,HJ05369,20151014,西藏自治区,800,山路旁,林缘,亚灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00598287.jpg,,,,,,,,,, +毛线柱苣苔,Rhynchotechum vestitum,青藏队,9083,19820808,云南省,1400,山坡常绿阔叶林下,半灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0208965.jpg,,,,,,,,,, +毛线柱苣苔,Rhynchotechum vestitum,,9083,19820000,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/069263.jpg,,,,,,,,,, +,Richteria pyrethroides,"亚吉东, 张桥蓉, 胡枭剑",16CS12975,20160604,新疆,1039,碎石坡上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1453863.jpg,,,,,,,,,, +,Richteria pyrethroides,"刘成,亚吉东",15CS10195,20150612,新疆维吾尔自治区,1294,公路边碎石坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1375829.jpg,,,,,,,,,, +,Rivea ornata,,,,,,,,,,,,,,,,,,, +无瓣蔊菜,Rorippa dubia,王作宾,16959,19530716,甘肃,1500,生浅水沟中,草本多分枝,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0069680.jpg,,,,,,,,,, +无瓣蔊菜,Rorippa dubia,王封才,66,20040426,贵州省,700,田边,,有花有果,https://image.cvh.ac.cn/files/l/PE/01602931.jpg,,,,,,,,,, +,Rorippa dubia,吴宝成,HANGYY8181,20080424,安徽,157,落叶阔叶林林地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1236399.jpg,,,,,,,,,, +高蔊菜,Rorippa elata,尹鑫、吴航、葛文静,LJQ-122,20100929,甘肃省,0~3525,亚高山草甸坡地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0279793.jpg,,,,,,,,,, +高蔊菜,Rorippa elata,T.N.Ho et al.,2329,19960824,青海省,3550~3650,Growing along river bank,,无花有果,https://image.cvh.ac.cn/files/l/PE/01160419.jpg,,,,,,,,,, +,Rorippa elata,许炳强,周伟,郑朝汉,XiaNH0281,20080906,青海,3581,林下路旁,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235082.jpg,,,,,,,,,, +,Rorippa indica,"程树志,李渤生",4128,19830418,西藏自治区,1000,荒坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01468051.jpg,,,,,,,,,, +,Rorippa indica,吴宝成,HANGYY8199,20080618,上海,3,落叶阔叶林林地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1236470.jpg,,,,,,,,,, +,Rorippa indica,Taku Miyazaki,705161,20070513,,185~200,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920017.jpg,,,,,,,,,, +,Rorippa palustris,K.K.TSOONGG,,19191103,昆明,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0005338.jpg,,,,,,,,,, +,Rorippa palustris,何兴金,高云东,刘海艳,余岩,SCU-20080432,20080813,四川,3234,路边草丛和溪边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1235080.jpg,,,,,,,,,, +沼生蔊菜,Rorippa palustris,张磊,张朝攀,zlnmu2022022,20220604,宁夏,1118,人工果园,草本,有花无果,https://image.cvh.ac.cn/files/l/NMU/NMU00513.jpg,,,,,,,,,, +,Rotheca serrata,"云南考察队(金效华,刘冰,刘博,权旭,苏俊霞,仲轶)",YN-ET587,20090702,云南省,1500,路边,,无花有果,https://image.cvh.ac.cn/files/l/PE/01886835.jpg,,,,,,,,,, +,Rotheca serrata,"Yunn Mi Mi Kyaw, Aye Mya Mon, Htet Swan Pyae, Myo ",EB180521,20181019,Mon State,,,Shrub,有花无果,https://image.cvh.ac.cn/files/l/KUN/1498734.jpg,,,,,,,,,, +轮冠木,Rotula aquatica,R.S.Rao,94629,19621110,,0,,Shrub,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0537270.jpg,,,,,,,,,, +轮冠木,Rotula aquatica,梁向日,67210,19351116,广西壮族自治区,0,,亚灌木,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0537267.jpg,,,,,,,,,, +轮冠木,Rotula aquatica,,378,19560418,云南省,0,河沟边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/180208.jpg,,,,,,,,,, +中国茜草,Rubia chinensis,,1410,1959.7.1,河南,860,,,有花无果,https://image.cvh.ac.cn/files/l/HENU/0360451.jpg,,,,,,,,,, +中国茜草,Rubia chinensis,侯元同、郭成勇、商永泉,384,20150817,黑龙江省,268.25,山坡林下,草本,无花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0007009.jpg,,,,,,,,,, +大钻草,Rubia chinensis,,11656,1930,河北省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00031201.jpg,,,,,,,,,, +,Rubia cordifolia,胡君、王东超、李丽、唐露,SC-a-081-B10,20180811,西藏,3400,高山栎群落中,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260066.jpg,,,,,,,,,, +,Rubia cordifolia,E.E. Maire,,,YUNNAN,,,,有花有果,https://image.cvh.ac.cn/files/l/SYS/SYS00096134.jpg,,,,,,,,,, +茜草,Rubia cordifolia,马凤江等,BZ-P001-13,20150828,辽宁省锦州市,67.6,山地,坡中部,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF008338.jpg,,,,,,,,,, +梵茜草,Rubia manjith,S.Noshiro etc.,9830165,19980826,,1855,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1220022.jpg,,,,,,,,,, +梵茜草,Rubia manjith,张雪,522422160523007LY,20160523,贵州省,1598.6,湿生、阴性、酸性土、中温、野生植物、阔叶林,藤本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0034896.jpg,,,,,,,,,, +梵茜草,Rubia manjith,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201166,20200723,西藏,2261,岩坡上,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1507219.jpg,,,,,,,,,, +金线草,Rubia membranacea,李健玲、陈海玲,GPS190820016,20190820,广西,,山地,山谷,疏林,黄壤,直立草本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI074623.jpg,,,,,,,,,, +金线茜草,Rubia membranacea,朱大海 张超 李小杰,4938,20070826,,1250,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/016521.jpg,,,,,,,,,, +膜叶茜草,Rubia membranacea,何毅 郝加琛,GSL2015050836,20150531,甘肃省,2100,林下,,,https://image.cvh.ac.cn/files/l/BNU/0019572.jpg,,,,,,,,,, +钩毛茜草,Rubia oncotricha,F.Konta,11612,19760912,Honshu,500,in a Shinto shrine,,有花无果,https://image.cvh.ac.cn/files/l/KUN/90123.jpg,,,,,,,,,, +钩毛茜草,Rubia oncotricha,贾彧,522325181120056LY,20181120,贵州,1110,草丛、中生、阳性、中温、钙质土、野生植物,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0095478.jpg,,,,,,,,,, +钩毛茜草,Rubia oncotricha,H.Hara,9991,19330710,Hokkaido,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/698372.jpg,,,,,,,,,, +柄花茜草,Rubia podantha,C.W.Wang,69103,19350800,湖南省,,grassy slope,vine,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0048427.jpg,,,,,,,,,, +柄花茜草,Rubia podantha,P. T. Wang,133914,1942/8/1,甘肃,1600,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0071289.jpg,,,,,,,,,, +柄花茜草,Rubia podantha,C.W.Wang,69276,19350900,云南省 ,5400,林边,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0048362.jpg,,,,,,,,,, +锡金茜草,Rubia sikkimensis,木里队,333,19780707,四川,2300,,附生匍匐生藤本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM718502425.jpg,,,,,,,,,, +,Rubia sikkimensis,B.Bartholomew and D.E.Boufford,3984,19860407,,1760,,,无花有果,https://image.cvh.ac.cn/files/l/PE/02113618.jpg,,,,,,,,,, +西藏茜草,Rubia tibetica,青藏队,8114,19760628,西藏自治区,3600,河滩砾石地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/329087.jpg,,,,,,,,,, +西藏茜草,Rubia tibetica,塔里木大学资源调查组,TD-00979,20060831,新疆,982米,田边,草本,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU03589.jpg,,,,,,,,,, +,Rubia tibetica,J. D. Hooker,7,,,3048~4267.2,,,,https://image.cvh.ac.cn/files/l/NY/00133199.jpg,,,,,,,,,, +多花茜草,Rubia wallichiana,M.Suzuki etc.,50372,19880715,,2600,in shrubberies,,有花无果,https://image.cvh.ac.cn/files/l/KUN/359163.jpg,,,,,,,,,, +多花茜草,Rubia wallichiana,李洪钧,5351,1958/ /,湖北,500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0200162.jpg,,,,,,,,,, +多花茜草,Rubia wallichiana,王启无,85799,19391207,云南省 ,1300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0509861.jpg,,,,,,,,,, +掌叶石蚕,Rubiteucris palmata,罗建、汪书丽、王国严,LiuJQ-334,20091005,西藏自治区,0~2885,林缘灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0288133.jpg,,,,,,,,,, +掌叶石蚕,Rubiteucris palmata,木本油料调查队,555,19650717,云南省,2300,井谷常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/352113.jpg,,,,,,,,,, +掌叶石蚕,Rubiteucris palmata,王作宾,14746,1951/8/7,甘肃省,2500,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0049434.jpg,,,,,,,,,, +酸模,Rumex acetosa,,门627,19710814,北京市,,林内,,有花有果,https://image.cvh.ac.cn/files/l/PE/00973866.jpg,,,,,,,,,, +酸模,Rumex acetosa,J.Looman,15453,19700821,,,Sanddunes,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234538.jpg,,,,,,,,,, +酸模,Rumex acetosa,"亚吉东, 张桥蓉, 胡枭剑, 阿依丁",17CS16524,20170714,新疆,2352,石质山坡桦木灌丛中,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1458919.jpg,,,,,,,,,, +,Rumex angulatus,范全,12,19780730,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00408629.jpg,,,,,,,,,, +紫茎酸模,Rumex angulatus,新疆综合考察队,73,19590520,新疆维吾尔自治区,1900,,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/0425639.jpg,,,,,,,,,, +紫茎酸模,Rumex angulatus,,23625,19570810,四川省,3360,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00173293.jpg,,,,,,,,,, +皱叶酸模,Rumex crispus,刘昂、刘文剑、邓创发,PJ010119,20200102,湖南,150,丹霞,直立草本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI074591.jpg,,,,,,,,,, +,Rumex crispus,卢洋,刘帆等六人,LiJ833,20110830,西藏,3584,高山灌丛,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1303309.jpg,,,,,,,,,, +皱叶酸模,Rumex crispus,Musee Heude,2647,19310724,江苏省,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00106368.jpg,,,,,,,,,, +齿果酸模,Rumex dentatus,汪劲武,5,19780515,北京,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0008919.jpg,,,,,,,,,, +齿果酸模,Rumex dentatus,刘正宇、张军等,S-2547,20170707,重庆,1072.97,林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0051895.jpg,,,,,,,,,, +齿果酸模,Rumex dentatus,"董安淼, 吴丛梅",TanCM3737,20190621,江西,160,山脚荒地草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1483367.jpg,,,,,,,,,, +毛脉酸模,Rumex gmelinii,唐宏亮,SHB020156,20140727,河北,1341米,草地,,有花有果,https://image.cvh.ac.cn/files/l/HBU/HBU0000144.jpg,,,,,,,,,, +毛脉酸模,Rumex gmelinii,58年秦岭队,10647,19580912,陕西省,2320,草地阴处 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01386868.jpg,,,,,,,,,, +毛脉酸模,Rumex gmelinii,斋藤龙本; R. Saito,,1937/8/8,Korea borealis: in K,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00061861.jpg,,,,,,,,,, +独行菜,Rumex hastatus,陈晖,胡艳敏,彭献军,NMZA0460,20180728,内蒙古,1251,草原牧场,一年生或二年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1439586.jpg,,,,,,,,,, +戟叶酸模,Rumex hastatus,青藏队,5217,19810831,西藏自治区,2450,河岸,山坡,灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0425837.jpg,,,,,,,,,, +,Rumex hastatus,"耿玉英,朱大海,李小杰",20070196,20070424,四川省,2200,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01859395.jpg,,,,,,,,,, +羊蹄,Rumex japonicus,陈淑琪等,153,1963-05-00,湖北 ,,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0311343.jpg,,,,,,,,,, +羊蹄,Rumex japonicus,H.Migo,,19340602,上海市,0,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00106459.jpg,,,,,,,,,, +羊蹄,Rumex japonicus,张代贵,JH099,20160408,湖南永州,306.4,荒田中,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU24194.jpg,,,,,,,,,, +,Rumex maritimus,刘玫,张欣欣,程薪宇,史传奇,Liuetal391,20120715,黑龙江,310,村落,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1243938.jpg,,,,,,,,,, +刺酸模,Rumex maritimus,,,19870707,河南省,,,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0038374.jpg,,,,,,,,,, +刺酸模,Rumex maritimus,孟连调查队,9404,19730709,云南省,980,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0153525.jpg,,,,,,,,,, +尼泊尔酸模,Rumex nepalensis,Y.Iokawa et al.,20320112,20030701,,3810,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920034.jpg,,,,,,,,,, +,Rumex nepalensis,李巨平,Lijuping0058,20080903,湖北,900,落叶阔叶林林下沟谷湿地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1243953.jpg,,,,,,,,,, +尼泊尔酸模,Rumex nepalensis,张代贵,ZZ100713767,20100713,湖南湘西州,,山坡路旁,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU58767.jpg,,,,,,,,,, +,Rungia burmanica,"朱华,王洪",47251,19911100,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/039499.jpg,,,,,,,,,, +,Rungia burmanica,王洪,6616,20021024,广西壮族自治区,1200,石灰山,,无花无果,https://image.cvh.ac.cn/files/l/PE/01576011.jpg,,,,,,,,,, +,Rungia latior,,,,,,,,,,,,,,,,,,, +孩儿草,Rungia pectinata,丁一,2781,20120702,河南,608,草地,,有花无果,https://image.cvh.ac.cn/files/l/HENU/HENU1902781.jpg,,,,,,,,,, +孩儿草,Rungia pectinata,隆安县普查队,450123130123037LY,20130123,广西壮族自治区,155,草丛,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0132178.jpg,,,,,,,,,, +孩儿草,Rungia pectinata,F.A.McClure,8550,19211220,海南省 ,40~600,,herb,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00245360.jpg,,,,,,,,,, +,Rungia repens,,,,,,,,,,,,,,,,,,, +匍匐鼠尾黄,Rungia stolonifera,胡志浩,78048,19770119,贵州省,1200,,小草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00245373.jpg,,,,,,,,,, +匍匐鼠尾黄,Rungia stolonifera,M.K.Li,384,19391009,云南省 ,0~1580,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0561129.jpg,,,,,,,,,, +匍匐鼠尾黄,Rungia stolonifera,李鸣冈,384,19391009,云南省,1580,灌木丛中,草本,,https://image.cvh.ac.cn/files/l/HITBC/0025801.jpg,,,,,,,,,, +,Sabulina kashmirica,,,,,,,,,,,,,,,,,,, +,Sadiria aberrans,,,,,,,,,,,,,,,,,,, +,Sadiria erecta var. longipetiolata,,,,,,,,,,,,,,,,,,, +,Sadiria eugeniifolia,,,,,,,,,,,,,,,,,,, +,Sadiria griffithii,,,,,,,,,,,,,,,,,,, +,Sadiria subsessilifolia,邓云飞,3534,20090421,,0~320,In forest,Shrub,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0742260.jpg,,,,,,,,,, +漆姑草,Sagina japonica,巴山采集队,2155,20080725,重庆市,2312,山坡草甸,,有花有果,https://image.cvh.ac.cn/files/l/PE/01868205.jpg,,,,,,,,,, +漆姑草,Sagina japonica,张娆挺、陈方和,2924,19910321,福建,,海边沟旁,草本,有花有果,https://image.cvh.ac.cn/files/l/AU/AU069233.jpg,,,,,,,,,, +漆姑草,Sagina japonica,张代贵,YH140424334,20140424,湖南湘西州,,草丛,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU44334.jpg,,,,,,,,,, +根叶漆姑草,Sagina maxima,张宏达,219,1939,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0149375.jpg,,,,,,,,,, +根叶漆姑草,Sagina maxima,佘孟兰等,26663,19590428,浙江,,地上路边,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00634582.jpg,,,,,,,,,, +,Sagina maxima,艾沙江,成小军,TanDY0210,20080515,新疆,848,潮湿地,,,https://image.cvh.ac.cn/files/l/KUN/1239444.jpg,,,,,,,,,, +仰卧漆姑草,Sagina procumbens,武考队,81-0841,1981-05-,福建省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0149384.jpg,,,,,,,,,, +仰卧漆姑草,Sagina procumbens,"吴征镒,陈书坤,杜庆等",75-595,19750704,西藏自治区,3400,林间草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00603619.jpg,,,,,,,,,, +仰卧漆姑草,Sagina procumbens,"张志松,张永田",804,19600413,贵州省,1600,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00603617.jpg,,,,,,,,,, +无毛漆姑草,Sagina saginoides,王战,2421,19530618,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/04509001x0003.jpg,,,,,,,,,, +无毛漆姑草,Sagina saginoides,秦仁昌,1901,19560817,新疆维吾尔自治区,2500,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00603622.jpg,,,,,,,,,, +,Sagina saginoides,李恒,李嵘,刀志灵,1036,20071003,云南,3340,针叶林下路边,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1239327.jpg,,,,,,,,,, +,Salsola austrotibetica,,,,,,,,,,,,,,,,,,, +,Salsola hartmannii,,,,,,,,,,,,,,,,,,, +,Salsola jacquemontii,,,,,,,,,,,,,,,,,,, +微硬毛鼠尾草,Salvia campanulata,蒋英,11656,19330824,云南省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/352181.jpg,,,,,,,,,, +,Salvia campanulata,,20019,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0048713.jpg,,,,,,,,,, +钟萼鼠尾草,Salvia campanulata,,230,19780802,四川,,,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM717307514.jpg,,,,,,,,,, +微硬毛鼠尾草,Salvia campanulata var. hirtella,吴征镒,603,19750705,西藏自治区,3800,灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/352197.jpg,,,,,,,,,, +微硬毛鼠尾草,Salvia campanulata var. hirtella,蒋英,11656,19330824,云南省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/352181.jpg,,,,,,,,,, +,Salvia castanea,,21174,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0048595.jpg,,,,,,,,,, +,Salvia castanea,刘恩德,向春雷,胡国雄等,Pengh0005,20110725,四川省 ,2750,路边草坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264147.jpg,,,,,,,,,, +绒毛变型,Salvia castanea,罗建、汪书丽,LiuJQ-08XZ-091,20080724,西藏自治区,3842,路边林缘草甸,直立草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00002823.jpg,,,,,,,,,, +,Salvia chuanxiensis,,,,,,,,,,,,,,,,,,, +蓝花鼠尾草,Salvia farinacea,邬文祥,9998A,19951012,江苏省,,鼋头诸公园盆栽,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00584179.jpg,,,,,,,,,, +蓝花鼠尾草,Salvia farinacea,郭惠珠,严春发,1259,20081218,福建,43~201.3,栽植,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0012063.jpg,,,,,,,,,, +一串蓝(蓝花鼠尾草),Salvia farinacea,侯元同,1206024-1,20120603,山东省,,花坛内,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0038470.jpg,,,,,,,,,, +鄂西鼠尾草,Salvia maximowicziana,黄艳波,罗卷,S0720,20150815,云南省,2947,路边斜坡、疏林下,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0101383.jpg,,,,,,,,,, +多花鄂西鼠尾草,Salvia maximowicziana,余奇,熊先华,李诗琦,CIBYQ004B001,20170920,四川,2639,山坡疏林,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1503554.jpg,,,,,,,,,, +鄂西鼠尾草,Salvia maximowicziana,张炳坤,10-0541,20100917,湖北,1300,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0171985.jpg,,,,,,,,,, +甘西鼠尾草,Salvia przewalskii,谭仲明,618,20010805,四川省 ,2300,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00246412.jpg,,,,,,,,,, +甘西鼠尾草,Salvia przewalskii,黎斌,LB19102,20160802,陕西省,2365,,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH013596.jpg,,,,,,,,,, +,Salvia przewalskii,T. T. Yu,8405,1938,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00001867.jpg,,,,,,,,,, +少毛鼠尾草,Salvia przewalskii var. glabrescens,D.E.Boufford et al.,33841,20050730,西藏自治区,3400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913491.jpg,,,,,,,,,, +,Salvia przewalskii var. glabrescens,C. K. Schneider,3495,1914/6/13,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00001866.jpg,,,,,,,,,, +甘西鼠尾草,Salvia przewalskii var. glabrescens,六华组,619,19780718,四川,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717307241.jpg,,,,,,,,,, +羊耳多,Salvia przewalskii var. mandarinorum,李桂全、唐忠平,1711,20010903,四川省,1820,沿坡一带,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0197038.jpg,,,,,,,,,, +褐毛甘西鼠尾草,Salvia przewalskii var. mandarinorum,李福廷,3748,19600800,甘肃省,,,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00257945.jpg,,,,,,,,,, +褐毛鼠尾草,Salvia przewalskii var. mandarinorum,D.E.Boufford et al.,30052,20000814,西藏自治区,3275,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579836.jpg,,,,,,,,,, +粘毛鼠尾草,Salvia roborowskii,刘全儒、徐丹、刘慧圆,200608220,20060814,甘肃省,,河岸,,,https://image.cvh.ac.cn/files/l/BNU/0011901.jpg,,,,,,,,,, +粘毛鼠尾草,Salvia roborowskii,王勇,329,20040727,青海,1980,河流冲积边滩,草本,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0189550.jpg,,,,,,,,,, +粘毛鼠尾草,Salvia roborowskii,付筱,雷嘉卿,周雨阳,FX-00-00-22-003,20200925,四川,3575,路边,阳生或中生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02072328.jpg,,,,,,,,,, +锡金鼠尾草,Salvia sikkimensis,谢登峰、张相宜,2028590,20190920,四川,4397,,,有花有果,https://image.cvh.ac.cn/files/l/SZ/02028590.jpg,,,,,,,,,, +锡金鼠尾草,Salvia sikkimensis,西藏生物所植物组,6,19880710,西藏自治区,3400,高山灌丛草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0006529.jpg,,,,,,,,,, +锡金鼠尾草,Salvia sikkimensis,张廷,蔡杰,袁明等,09CS1503,20090922,西藏,2720,高山栎,云南松针阔混交林中,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1389942.jpg,,,,,,,,,, +,Salvia sikkimensis var. chaenocalyx,,,,,,,,,,,,,,,,,,, +,Salvia subviolacea,,,,,,,,,,,,,,,,,,, +黄鼠狼花,Salvia tricuspis,齐威 ,LJQ-2008-GN-288,20080927,甘肃,2267,温带阔叶林林缘,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1389957.jpg,,,,,,,,,, +,Salvia tricuspis,"Soulié, J.A.",,1893,,,,,,https://image.cvh.ac.cn/files/l/P/P00714821.jpg,,,,,,,,,, +,Salvia tricuspis,,9882,19300818,山东省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00028500.jpg,,,,,,,,,, +矮接骨木,Sambucus ebulus,生物研究所西藏科考察队,1077,19730719,西藏自治区,1800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/38644.jpg,,,,,,,,,, +,Sambucus ebulus,,s.n.,19240910,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01328892.jpg,,,,,,,,,, +接骨木,Sambucus williamsii,初一乙采集队,,193110,广东,,,,有花无果,https://image.cvh.ac.cn/files/l/SN/SN004995.jpg,,,,,,,,,, +接骨木,Sambucus williamsii,H.T.Tsai,51858,19330501,云南省 ,1700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0539350.jpg,,,,,,,,,, +接骨木,Sambucus williamsii,Anonymous,2704,19650622,安徽省,760,,藤本,无花有果,https://image.cvh.ac.cn/files/l/HHBG/HZ051810.jpg,,,,,,,,,, +,Sanicula chinensis,,,,山东,,,,无花无果,https://image.cvh.ac.cn/files/l/JSPC/JSPC100862.jpg,,,,,,,,,, +变豆菜,Sanicula chinensis,"刘金,宋丽雅,李真,邵剑文(Liu Jin,Song LiYa,Li Zheng,Shao JanW",ANUB00306,20150930,安徽省,159.355,路边(Roadside),,有花无果,https://image.cvh.ac.cn/files/l/ANUB/ANUB002054.jpg,,,,,,,,,, +山芹菜,Sanicula chinensis,毕国昌,698,19600710,安徽,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00029187.jpg,,,,,,,,,, +鳞果变豆菜,Sanicula hacquetioides,王启无,,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00578937.jpg,,,,,,,,,, +鳞果变豆菜,Sanicula hacquetioides,陈家明、邹培明,176,19819517,贵州省,2200,,,有花无果,https://image.cvh.ac.cn/files/l/GZTM/0029911.jpg,,,,,,,,,, +鳞果变豆菜,Sanicula hacquetioides,龙迁位、素茂军、袁雨杰、夏运生、赵乾旭、李红、海仙,迪-005,20160617,云南省,3841,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 007779.jpg,,,,,,,,,, +薄片变豆菜,Sanicula lamelligera,张代贵,8,20120817,湖北神农架,,生长在荫湿的山坡路、溪边等草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU38197.jpg,,,,,,,,,, +薄片变豆菜,Sanicula lamelligera,谭策铭,易发彬,上犹样106,20021010,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/JJF/00019146.jpg,,,,,,,,,, +薄片变豆菜,Sanicula lamelligera,黄汉东,鲍大川,749,20140629,湖北,450,山脚溪边,草木,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0140853.jpg,,,,,,,,,, +短刺变豆菜,Sanicula orthacantha var. brevispina,邢吉庆,4049,19590530,陕西省,1690,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00028621.jpg,,,,,,,,,, +短刺变豆菜,Sanicula orthacantha var. brevispina,包维楷等,2494,1994-6 2,四川省,1950,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094846.jpg,,,,,,,,,, +短刺变豆菜,Sanicula orthacantha var. brevispina,郭本兆,5250,1964/7/1,甘肃,3600,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0231730.jpg,,,,,,,,,, +,Sanicula orthacantha var. orthacantha,李泽棠,1686,19540000,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00754803.jpg,,,,,,,,,, +,Sanicula orthacantha var. orthacantha,"熊济华,周子林",90548,19570427,重庆市,1620,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00754852.jpg,,,,,,,,,, +,Sanicula orthacantha var. orthacantha,傅坤俊,5843,19520913,陕西省,1800,高山坡丛林中湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/00754751.jpg,,,,,,,,,, +皱叶变豆菜,Sanicula rugulosa,,121,,四川,,水沟,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715006162.jpg,,,,,,,,,, +皱叶变豆菜,Sanicula rugulosa,,5268,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00040549.jpg,,,,,,,,,, +皱叶变豆菜,Sanicula rugulosa,生物研究所西藏考察队,770,19730629,西藏自治区,2700,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/37881.jpg,,,,,,,,,, +疏花变豆菜,Sanicula tienmuensis var. pauciflora,曹亚玲,115,1984-6 1,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0172308.jpg,,,,,,,,,, +毛瓣无患子,Sapindus rarak,C.W.Wang,73761,19360500,云南省 ,1540,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0417436.jpg,,,,,,,,,, +毛瓣无患子,Sapindus rarak,青藏队,11390,19830623,四川省,1700,山坡常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01820388.jpg,,,,,,,,,, +毛瓣无患子,Sapindus rarak,王启无,75542,19360800,云南省,950,forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/01391680.jpg,,,,,,,,,, +无患子,Sapindus saponaria,"朱鑫鑫, 王君, 林庶",ZXX19995,20190813,安徽,470,亚热带针阔混交林,溪沟边山坡上,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484782.jpg,,,,,,,,,, +无患子,Sapindus saponaria,李宏庆等,SDP01952,20110514,上海市,,绿地,,有花无果,https://image.cvh.ac.cn/files/l/CSH/0007462.jpg,,,,,,,,,, +无患子,Sapindus saponaria,侯学良、李振基、田宇英等,13051968,20130519,海南省,,,乔木,无花有果,https://image.cvh.ac.cn/files/l/AU/023113.jpg,,,,,,,,,, +染木树,Saprosma ternata,王洪,9060,20130412,云南,900,沟谷林中,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026611.jpg,,,,,,,,,, +染木,Saprosma ternata,刘勐,C210059,20070710,云南省,570,民族植物园,小乔木,,https://image.cvh.ac.cn/files/l/HITBC/0022972.jpg,,,,,,,,,, +大肉实树,Sarcosperma arboreum,刘心祈,27403,19360703,海南省,0,dense woods,,有花无果,https://image.cvh.ac.cn/files/l/KUN/36775.jpg,,,,,,,,,, +大肉实树,Sarcosperma arboreum,考察队,32251,19820519,云南省,900,路边林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01913254.jpg,,,,,,,,,, +大肉实树,Sarcosperma arboreum,钟补勤,1343,19290602,广东省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00749926.jpg,,,,,,,,,, +小叶肉实树,Sarcosperma griffithii,李剑武,4001,20140404,云南,1100,沟谷林,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0028701.jpg,,,,,,,,,, +小叶肉实树,Sarcosperma griffithii,陶国达,21693,19781014,云南省 ,1580,林中潮湿,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1267128.jpg,,,,,,,,,, +小叶肉实树,Sarcosperma griffithii,C.W.Wang,78276,19360900,云南省,1900,mixed forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/00027809.jpg,,,,,,,,,, +绒毛肉实树,Sarcosperma kachinense,,6426,19620127,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0467654.jpg,,,,,,,,,, +绒毛肉实树,Sarcosperma kachinense,龙滩考察队,955,19861113,贵州省,900,山地,山谷,乔木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00211222.jpg,,,,,,,,,, +绒毛肉实树,Sarcosperma kachinense,黄志,35214,19331207,海南,,mixed woods,tree,有花无果,https://image.cvh.ac.cn/files/l/SN/SN005882.jpg,,,,,,,,,, +,Saurauia armata,孙航,周浙昆,俞宏渊,2291,19921214,西藏自治区,1000,on slope,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0152224.jpg,,,,,,,,,, +蜡质水东哥,Saurauia cerea,姚淦等,3793,19900917,西藏自治区,710,阔叶林(阴湿处),灌木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00002005.jpg,,,,,,,,,, +蜡质水东哥,Saurauia cerea,李延辉,1736,19591227,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/009932.jpg,,,,,,,,,, +,Saurauia cerea,王启无,79357,19350000,云南省 ,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0152251.jpg,,,,,,,,,, +红果水东哥,Saurauia erythrocarpa,H.T.Tsai,55517,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/LBG/00077148.jpg,,,,,,,,,, +,Saurauia erythrocarpa,刘成、何华杰、黄莉、杨忠兰,14CS8571,20141110,云南,1465,常绿阔叶林下,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1321833.jpg,,,,,,,,,, +红果水东哥,Saurauia erythrocarpa,方震东、张翔宇、陈涛、张晓均,DJDC-396,20160414,云南省,1197,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000083.jpg,,,,,,,,,, +簇花水东哥,Saurauia fasciculata,,,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0240609.jpg,,,,,,,,,, +,Saurauia fasciculata,"李延辉,刀志灵",3643,19910817,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1266045.jpg,,,,,,,,,, +,Saurauia griffithii,孙航,周浙昆,俞宏渊,1446,19921123,西藏自治区,600,in forest,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0152292.jpg,,,,,,,,,, +,Saurauia griffithii,殷建涛,1357,20091206,云南,1520,路边,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029958.jpg,,,,,,,,,, +越南水东哥,Saurauia griffithii var. annamica,"李渤生,程树志等",2450,19820109,西藏自治区,1400~950,江边沟谷林中常见乔木局部成林,,有花有果,https://image.cvh.ac.cn/files/l/PE/00939350.jpg,,,,,,,,,, +,Saurauia griffithii var. annamica,殷建涛,1357,20091206,云南,1520,路边,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029958.jpg,,,,,,,,,, +粗叶水东哥,Saurauia macrotricha,周仕顺,9644,20110607,云南,,江边杂木林中,灌木,无花无果,https://image.cvh.ac.cn/files/l/BJM/0220096.jpg,,,,,,,,,, +长毛水东哥,Saurauia macrotricha,C.W.Wang,74072,19360600,云南省,1540,,woody plant,无花无果,https://image.cvh.ac.cn/files/l/NKU/NK 008108.jpg,,,,,,,,,, +长毛水东哥,Saurauia macrotricha,方文培,2279,19280719,四川省,500,On the city wall,,有花有果,https://image.cvh.ac.cn/files/l/PE/00939857.jpg,,,,,,,,,, +硃毛水东哥,Saurauia miniata,李健玲、袁泉、刘志荣,GOS181003033,20181003,广西,~,路旁,山谷,黄壤;少见,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00433452.jpg,,,,,,,,,, +朱毛水东哥,Saurauia miniata,黄云峰 黄捷,HYF0591,20100819,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0090902.jpg,,,,,,,,,, +硃毛水东哥(新种),Saurauia miniata,马关县普查队,5326250331,20150515,云南省,763.3,阔叶林,乔木,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0034234.jpg,,,,,,,,,, +尼泊尔水东哥,Saurauia napaulensis,南大,,19520000,广东省,0,,,无花无果,https://image.cvh.ac.cn/files/l/N/112180045.jpg,,,,,,,,,, +峨眉水东哥,Saurauia napaulensis,方鼎等,0690a,19901019,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/GXMI/GXMI049982.jpg,,,,,,,,,, +山地水东哥,Saurauia napaulensis,张守君,11-4058,20110114,贵州,267,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0189426.jpg,,,,,,,,,, +,Saurauia polyneura var. paucinervis,张雪梅,刘媛等,SCSB-L-007,20061102,云南,2030,半潮湿,路边山坡,乔木,,https://image.cvh.ac.cn/files/l/KUN/1251409.jpg,,,,,,,,,, +少脉水东哥,Saurauia polyneura var. paucinervis,郭永杰,张桥蓉,秦少发,张凤琼,16CS14551,20161122,西藏,1631,河边孤岛状大岩石上,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1439419.jpg,,,,,,,,,, +大花水东哥,Saurauia punduana,陈进,苏应春,5,19920328,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/035263.jpg,,,,,,,,,, +,Saurauia punduana,,D-10,,云南省 ,0,,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0152556.jpg,,,,,,,,,, +,Saurauia punduana,孙航,周浙昆,俞宏渊,454,19921015,西藏自治区,800,beside river,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0152865.jpg,,,,,,,,,, +,Saurauia roxburghii,"Sylvain Razafimandimbison, Ulf Swenson, Do Van Tru",Razafimandimbison et al. 2418,20181001,,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0247605.jpg,,,,,,,,,, +糙毛水东哥,Saurauia sinohirsuta,吴磊,6023,20170612,云南,750~850,山谷密林,小乔木,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI068948.jpg,,,,,,,,,, +云南水东哥,Saurauia yunnanensis,刀志灵;蔡磊;张品;常帅;陶丽丹,KIBDZL134B02,20190430,云南,908,石灰岩,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1560892.jpg,,,,,,,,,, +云南水东哥,Saurauia yunnanensis,生物研究所西藏考察队,1433,19730717,西藏自治区,1000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/39377.jpg,,,,,,,,,, +,Saurauia yunnanensis,C. W. Wang,78789,Sep-36,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00098127.jpg,,,,,,,,,, +,Saussurea acroura,E. H. Wilson,3894,1903/8/24,,2133.6,,,,https://image.cvh.ac.cn/files/l/HUH/A00011736.jpg,,,,,,,,,, +,Saussurea acroura,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-154-B34,20190826,四川,3169,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273835.jpg,,,,,,,,,, +川甘风毛菊,Saussurea acroura,刘全儒、何毅,GSL201308091,"星期六, 八月 10, 2013",陕西省,1500~1800,,,,https://image.cvh.ac.cn/files/l/BNU/001177.jpg,,,,,,,,,, +,Saussurea aerjingensis,李学禹,94057,19940905,新疆维吾尔自治区,2900,盐化草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/00934994.jpg,,,,,,,,,, +阿尔金风毛菊,Saussurea aerjingensis,李学禹,94057,1994.9.5,新疆维吾尔自治区 ,2900,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042511.jpg,,,,,,,,,, +阿尔金风毛菊,Saussurea aerjingensis,李学禹,94057,199495,,2900,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022939.jpg,,,,,,,,,, +草地风毛菊,Saussurea amara,H.Migo,,19351002,浙江省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00496515.jpg,,,,,,,,,, +草地风毛菊,Saussurea amara,周海城,ZhouHC1463,20160813,吉林,746,次生林,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1480509.jpg,,,,,,,,,, +草地风毛菊,Saussurea amara,王正文、于兴华、匡文浓,王正文0027,20140811,内蒙古自治区呼伦贝尔市,519,典型草原,,有花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0236201.jpg,,,,,,,,,, +,Saussurea andersoni,,211,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716289.jpg,,,,,,,,,, +,Saussurea andersoni,G.Forrest,26915,1925,,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/AU050465.jpg,,,,,,,,,, +,Saussurea andersoni,G.Forrest,26915,19250700,云南省,4333,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390480.jpg,,,,,,,,,, +沙生风毛菊,Saussurea arenaria,刘全儒,QH2012016,20120704,青海省,4282,荒漠草原、草甸,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0038890.jpg,,,,,,,,,, +狮牙风毛菊,Saussurea arenaria,李帅等,20167559,20160731,西藏自治区,4553,高寒草原,草本,,https://image.cvh.ac.cn/files/l/BNU/0030994.jpg,,,,,,,,,, +沙生风毛菊,Saussurea arenaria,T.P.Wang,7612,1937/8/22,甘肃,4000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0022780.jpg,,,,,,,,,, +云状雪兔子,Saussurea aster,不祥,样-8,19740803,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00006739.jpg,,,,,,,,,, +云状雪兔子,Saussurea aster,路端正,20010818,20010818,西藏自治区,5231,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005588.jpg,,,,,,,,,, +云状雪兔子,Saussurea aster,路端正,,20010818,西藏,5231,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005588.jpg,,,,,,,,,, +漂亮风毛菊,Saussurea bella,郭本兆 王为义,385,19780808,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/73784.jpg,,,,,,,,,, +漂亮风毛菊,Saussurea bella,青藏科考队,12758,19760810,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/61264.jpg,,,,,,,,,, +漂亮风毛菊,Saussurea bella,D.E.Boufford et al.,36613,20060816,四川省,,Grass covered slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885642.jpg,,,,,,,,,, +短苞风毛菊,Saussurea brachylepis,Harry Smith,11774,19340904,四川省,3600,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00030086.jpg,,,,,,,,,, +,Saussurea brachylepis,K. A. H. Smith,11774,1934/9/4,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00011742.jpg,,,,,,,,,, +短苞风毛菊,Saussurea brachylepis,杨竞生,91-589,19910709,西藏自治区,4500,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908260.jpg,,,,,,,,,, +,Saussurea brunneopilosa,甘肃省卫生局中草药组,153,19710822,甘肃,2900~3600,灌木丛草地,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093414.jpg,,,,,,,,,, +异色风毛菊,Saussurea brunneopilosa,T.P.Wang,5733,19360815,甘肃省,3800,,herb,无花有果,https://image.cvh.ac.cn/files/l/NKU/NK 011871.jpg,,,,,,,,,, +异色风毛菊,Saussurea brunneopilosa,高庆波、贾留坤,Gao2017109,20170803,青海,4349,荒漠草原,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026371.jpg,,,,,,,,,, +泡叶风毛菊,Saussurea bullata,北京所横断山队,2704,19810805,云南省,2900,白水云南松林下时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390710.jpg,,,,,,,,,, +,Saussurea bullata,"Forrest, George",6653,10-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00259809.jpg,,,,,,,,,, +泡叶风毛菊,Saussurea bullata,青藏队,12319,19830723,四川省,4000,山坡灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390605.jpg,,,,,,,,,, +灰白风毛菊,Saussurea cana,T.P.Wang,5915,19360827,甘肃省,2800,,herb,无花有果,https://image.cvh.ac.cn/files/l/NKU/NK 011867.jpg,,,,,,,,,, +堪那青木香,Saussurea cana,J.Kozlov,712,19250823,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00046363.jpg,,,,,,,,,, +灰白风毛菊,Saussurea cana,崔友文,10208,1957/6/25,甘肃,1800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0413755.jpg,,,,,,,,,, +尾叶风毛菊,Saussurea caudata,邓姣姣、卫靜丽、刘常坤,LDW-39-V-058,20200921,四川,4045.45m,山坡灌丛,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02063234.jpg,,,,,,,,,, +尾叶风毛菊,Saussurea caudata,中甸队,3671,19630721,云南省,3500,山沟杂木灌丛林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/728789.jpg,,,,,,,,,, +尾叶风毛菊,Saussurea caudata,曲桂龄,3433,19360805,四川省,0~2750,,herbs,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0627803.jpg,,,,,,,,,, +百裂风毛菊,Saussurea centiloba,胡君,王东超,李丽,李奥奥,曾思源,黄欣,SC-a-012-B05,20160802,四川省,3961,高山栎群落中,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00610132.jpg,,,,,,,,,, +百裂风毛菊,Saussurea centiloba,C.W.Wang,65374,1935/08/,云南,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0039255.jpg,,,,,,,,,, +百裂风毛菊,Saussurea centiloba,俞绍文,79,19640822,云南省,3600,流石滩上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/728777.jpg,,,,,,,,,, +康定风毛菊,Saussurea ceterach,傅德志 赵志龙等,87-2280,19870823,四川省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/004803.jpg,,,,,,,,,, +康定风毛菊,Saussurea ceterach,陈晓澄、肖洒等人,10477,20160817,青海,4432,草甸山坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00021190.jpg,,,,,,,,,, +康定风毛菊,Saussurea ceterach,PE西藏队,PE5369,20170828,西藏自治区,4019,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01890071.jpg,,,,,,,,,, +,Saussurea chapmanii,,481,19720622,西藏自治区,3500,阳坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390724.jpg,,,,,,,,,, +大坪风毛菊(原变种),Saussurea chetchozensis var. chetchozensis,,59-007,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0627814.jpg,,,,,,,,,, +大坪风毛菊(原变种),Saussurea chetchozensis var. chetchozensis,张桥蓉,蒋婷,余华,ZhangYH163,20191214,云南,2496,灌丛中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1489097.jpg,,,,,,,,,, +抱茎风毛菊,Saussurea chingiana,路,崔,张,,20010701,青海,3000,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005596.jpg,,,,,,,,,, +抱茎风毛菊,Saussurea chingiana,路端正,19840720,19840720,北京市,2000,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005595.jpg,,,,,,,,,, +抱茎风毛菊,Saussurea chingiana,黔南队,3664,19590827,贵州省,0,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/728842.jpg,,,,,,,,,, +木质风毛菊,Saussurea chondrilloides,王焕存,85,1960817,,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022981.jpg,,,,,,,,,, +木质风毛菊,Saussurea chondrilloides,邢吉庆,22159,19730800,新疆维吾尔自治区,,,草本,无花有果,https://image.cvh.ac.cn/files/l/XBGH/XBGH013610.jpg,,,,,,,,,, +木质风毛菊,Saussurea chondrilloides,路端正,,19930813,新疆,1100,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005598.jpg,,,,,,,,,, +昆仑风毛菊,Saussurea cinerea,邢吉庆,22251,19730700,新疆维吾尔自治区,2800,,,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH013624.jpg,,,,,,,,,, +昆仑风毛菊,Saussurea cinerea,,188,1964816,,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20022978.jpg,,,,,,,,,, +昆仑风毛菊,Saussurea cinerea,,61,1971.7.2,新疆维吾尔自治区 ,2800,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042548.jpg,,,,,,,,,, +鞘基风毛菊,Saussurea colpodes,郭先林、卫静丽,2040573,20200716,四川,4622,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02040573.jpg,,,,,,,,,, +鞘基风毛菊,Saussurea colpodes,西藏中草药普查队,1485,19720826,西藏自治区,3340,林缘 路边,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030093.jpg,,,,,,,,,, +鞘基风毛菊,Saussurea colpodes,"张挺, 刘成, 亚吉东",18CS17696,20180916,西藏,3988,路边山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487403.jpg,,,,,,,,,, +柱茎风毛菊,Saussurea columnaris,青藏队,5234,1981-9 2,四川省,4250,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0150350.jpg,,,,,,,,,, +柱茎风毛菊,Saussurea columnaris,王启无,68569,19350800,云南省,3600,"Mountain slope,Rock crevice",,有花无果,https://image.cvh.ac.cn/files/l/PE/00390740.jpg,,,,,,,,,, +,Saussurea columnaris,"E.V. Raab-Straube,M. Smalla & H. Sun",942,20000915,云南,4600,"Open herb communities on E-exposed,steep(35°) moving schistaceous scree.",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498374.jpg,,,,,,,,,, +风毛菊,Saussurea coriacea,高云东,鞠文彬,杨焰,THP-KD-1971,20170717,四川,4100-4500,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0240754.jpg,,,,,,,,,, +革苞风毛菊,Saussurea coriacea,西藏中草药普查队,1756,19720904,西藏自治区,3800,阶地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00390869.jpg,,,,,,,,,, +革苞风毛菊,Saussurea coriacea,D. E. Boufford et al.,39126,20070806,四川省,3570~3730,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01897206.jpg,,,,,,,,,, +小头风毛菊,Saussurea crispa,中越考察队,439,19641214,四川省,1450~1400,草坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/728818.jpg,,,,,,,,,, +小头风毛菊,Saussurea crispa,青藏队,2784,19741004,西藏自治区,2500,河谷杂木林缘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/731066.jpg,,,,,,,,,, +,Saussurea crispa,"Chaffanjon, Jean",2487,September 1898,,,,,,https://image.cvh.ac.cn/files/l/E/E00259851.jpg,,,,,,,,,, +达乌里风毛菊,Saussurea daurica,"罗菊春,刘钊元",,19840801,黑龙江,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005603.jpg,,,,,,,,,, +达乌里风毛菊,Saussurea daurica,罗菊春,刘利民等,198908,19890800,黑龙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005603.jpg,,,,,,,,,, +,Saussurea daurica,郭中央等,1066,19580802,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0029419.jpg,,,,,,,,,, +,Saussurea delavayi var. delavayi,,,,,,,,,,,,,,,,,,, +长梗风毛菊,Saussurea dolichopoda,T.T.Yu,1385,19320827,四川省,2100,,,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0012503.jpg,,,,,,,,,, +长梗风毛菊,Saussurea dolichopoda,冯国楣,23551,19590910,云南省,3400~3300,云杉林内,,有花无果,https://image.cvh.ac.cn/files/l/KUN/728997.jpg,,,,,,,,,, +长梗风毛菊,Saussurea dolichopoda,邢吉庆,20667,19631018,甘肃省,1500,山沟水旁,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH013618.jpg,,,,,,,,,, +,Saussurea dschungdienensis,"Handel-Mazzetti, H.",7760,24-Aug-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00383901.jpg,,,,,,,,,, +中甸风毛菊,Saussurea dschungdienensis,秦官属,269,19731020,云南省,2650,岩石上 路旁 阳处,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH015735.jpg,,,,,,,,,, +中甸风毛菊,Saussurea dschungdienensis,王清泉,22952,1980-8 2,四川省,4800,,,无花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0147599.jpg,,,,,,,,,, +,Saussurea elliptica,,,,,,,,,,,,,,,,,,, +棉头风毛菊,Saussurea eriocephala,,595,19790802,四川,5200,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719403542.jpg,,,,,,,,,, +,Saussurea eriocephala,"Delavay, J.M.",4720,1888-10-4,,,,,,https://image.cvh.ac.cn/files/l/P/P00602843.jpg,,,,,,,,,, +棉头风毛菊,Saussurea eriocephala,杨增宏,7279,19701002,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/041377.jpg,,,,,,,,,, +红柄雪莲,Saussurea erubescens,赵振锯、师进斌、范德刚,114914,1981-7 1,四川省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0151326.jpg,,,,,,,,,, +红柄雪莲,Saussurea erubescens,黄河调查队,1011,19560000,甘肃省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00391205.jpg,,,,,,,,,, +红柄雪莲,Saussurea erubescens,陶德定,10877,19760000,西藏自治区,4600,山谷 石砾砂坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391422.jpg,,,,,,,,,, +锐齿风毛菊,Saussurea euodonta,W.P.Fang,4297,19280000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00496771.jpg,,,,,,,,,, +锐齿风毛菊,Saussurea euodonta,西北植物所、四川生物所,29,1976-8 1,云南省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0147679.jpg,,,,,,,,,, +锐齿风毛菊,Saussurea euodonta,G.Forrest,2823,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0627933.jpg,,,,,,,,,, +中新风毛菊,Saussurea famintziniana,潘伯荣,88050,880724,,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20023045.jpg,,,,,,,,,, +中新风毛菊,Saussurea famintziniana,潘伯荣,88050,88.07.24,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042617.jpg,,,,,,,,,, +奇形风毛菊,Saussurea fastuosa,朱水法,20472,19590926,四川省,2800,河滩上 草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00455174.jpg,,,,,,,,,, +奇形风毛菊,Saussurea fastuosa,G.Forrest,6525,19100000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0627936.jpg,,,,,,,,,, +奇形风毛菊,Saussurea fastuosa,杨增宏,7286,19701007,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/041378.jpg,,,,,,,,,, +,Saussurea fistulosa,"Forrest, George",20709,21-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00259838.jpg,,,,,,,,,, +管茎雪兔子,Saussurea fistulosa,"E.V.Raab-Straube,M.Smalla,H.Sun",623,20000907,云南省,4700,"Rock steps with soil accumulation, granite",,,https://image.cvh.ac.cn/files/l/KUN/1283132.jpg,,,,,,,,,, +黄绿苞风毛菊,Saussurea flavo-virens,青藏队,74-2352B,19740912,西藏自治区,4200,山坡 灌丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030107.jpg,,,,,,,,,, +,Saussurea georgei,"Forrest, George",30816,1931,,,,,,https://image.cvh.ac.cn/files/l/E/E00259825.jpg,,,,,,,,,, +川滇雪兔子,Saussurea georgei,王启无,66069,19350800,云南省,3800,clacials & Rocks,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030102.jpg,,,,,,,,,, +川滇雪兔子,Saussurea georgei,D. E. Boufford et al.,42682,20100805,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01897222.jpg,,,,,,,,,, +纤细风毛菊,Saussurea graciliformis,甘青队,钟补求,10095,1958/8/21,青海,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0100572.jpg,,,,,,,,,, +纤细风毛菊,Saussurea graciliformis,黄河队,4826,1956/6/13,甘肃,,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0085079.jpg,,,,,,,,,, +纤细风毛菊,Saussurea graciliformis,刘全儒,QH2012223,20120708,青海省,3182,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0038822.jpg,,,,,,,,,, +禾叶风毛菊,Saussurea graminea,郑绍文,2689,19810707,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/ZY/ZY0004175.jpg,,,,,,,,,, +禾叶风毛菊,Saussurea graminea,李晓东,刘帆,张景博,徐凌翔,LiJ0063,20080903,甘肃,3709,河边坡地,,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0190511.jpg,,,,,,,,,, +禾叶风毛菊,Saussurea graminea,徐养鹏,于兆英,2306,1981/9/5,内蒙,3400,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0433274.jpg,,,,,,,,,, +硕首雪兔子,Saussurea grandiceps,青藏队,7257,19750813,西藏自治区,5000,山坡流石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030113.jpg,,,,,,,,,, +粗裂风毛菊,Saussurea grosseserrata,,21352,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00391742.jpg,,,,,,,,,, +,Saussurea grosseserrata,"Delavay, J.M.",2102,1886-8-14,,,,,,https://image.cvh.ac.cn/files/l/P/P00602857.jpg,,,,,,,,,, +粗齿风毛菊,Saussurea grosseserrata,George Forrest,6339,191008,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU050455.jpg,,,,,,,,,, +加查雪兔子,Saussurea gyacaensis,西藏中草药普查队,4363,19720823,西藏自治区,4850,岩石下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00454779.jpg,,,,,,,,,, +湖北风毛菊,Saussurea hemsleyi,徐洪贵,140752,20140723,内蒙古自治区,1790,疏林下,,,https://image.cvh.ac.cn/files/l/PE/02053715.jpg,,,,,,,,,, +,Saussurea hemsleyi,K.M.Liou,6524,19360805,青海省,2190,Dans les prairies des coteaux,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393377.jpg,,,,,,,,,, +湖北风毛菊,Saussurea hemsleyi,T.T.Yu,9717,19370822,云南省,4200,mt grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390743.jpg,,,,,,,,,, +巴东风毛菊,Saussurea henryi,巴山采集队,2369,20080726,重庆市,2177,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01315930.jpg,,,,,,,,,, +巴东风毛菊,Saussurea henryi,黎斌,LB19324,20180729,陕西省,2018,山坡路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH017867.jpg,,,,,,,,,, +,Saussurea henryi,"Henry, A.",7068,1889-3,,,,,,https://image.cvh.ac.cn/files/l/P/P00705488.jpg,,,,,,,,,, +风毛菊,Saussurea japonica,王国栋,龙秀贇,潘新宇,蒋露,7076,20061030,广东省,350~400,山地灌丛,直立草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00020266.jpg,,,,,,,,,, +风毛菊,Saussurea japonica,刘玉书,8,19570907,内蒙,1500,,草本,,https://image.cvh.ac.cn/files/l/PEY/PEY0055178.jpg,,,,,,,,,, +风毛菊,Saussurea japonica,兰建林,201809069,20180929,山东,242,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0047720.jpg,,,,,,,,,, +甘肃风毛菊,Saussurea kansuensis,刘坤,LiuJQ-GN-427,20110828,甘肃省,0~3525,草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0284723.jpg,,,,,,,,,, +,Saussurea kansuensis,J. F. C. Rock,13737,25-Oct,,3810,,,,https://image.cvh.ac.cn/files/l/NY/00232945.jpg,,,,,,,,,, +风毛菊,Saussurea kansuensis,余奇、熊先华、李琳霖,THP-KD-3696,20170803,四川,3637-3756,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0240723.jpg,,,,,,,,,, +喀什风毛菊,Saussurea kaschgarica,,1895,780804,,3200,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20023133.jpg,,,,,,,,,, +喀什风毛菊,Saussurea kaschgarica,陈又生,13-2288,20130905,新疆维吾尔自治区,3668,湖边沙坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01919852.jpg,,,,,,,,,, +喀什风毛菊,Saussurea kaschgarica,,1895,78.08.04,新疆维吾尔自治区 ,3200,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042705.jpg,,,,,,,,,, +重齿风毛菊,Saussurea katochaete,T.T.Yu,12975,19370829,云南省,3700,margin of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00392432.jpg,,,,,,,,,, +重齿风毛菊,Saussurea katochaete,黄土队,5849,1985/8/3,甘肃,3500,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0459932.jpg,,,,,,,,,, +重齿风毛菊,Saussurea katochaete,刘全儒等,QH2014437,20140710,青海省,4678,草甸,草,无花无果,https://image.cvh.ac.cn/files/l/BNU/0032208.jpg,,,,,,,,,, +拉萨雪兔子,Saussurea kingii,傅坤俊,5117,19520720,陕西省,1900,高山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716121.jpg,,,,,,,,,, +拉萨雪兔子,Saussurea kingii,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201585,20200808,西藏,4230,荒地上,二年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508394.jpg,,,,,,,,,, +,Saussurea kingii,"Walton, H.J.",,4-Jul,,,,,,https://image.cvh.ac.cn/files/l/P/P00705503.jpg,,,,,,,,,, +裂叶风毛菊,Saussurea laciniata,,205,19580726,,,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0029465.jpg,,,,,,,,,, +裂叶风毛菊,Saussurea laciniata,路端正,,19970910,新疆,1250,,,无花有果,https://image.cvh.ac.cn/files/l/BJFC/00123250.jpg,,,,,,,,,, +裂叶风毛菊,Saussurea laciniata,郭本兆,3336,1956/8/3,甘肃,3200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0075821.jpg,,,,,,,,,, +高盐地风毛菊,Saussurea lacostei,,8446,58.09.19,新疆维吾尔自治区 ,2650,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042718.jpg,,,,,,,,,, +高盐地风毛菊,Saussurea lacostei,,8446,580919,,2650,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20023146.jpg,,,,,,,,,, +绵头雪兔子,Saussurea laniceps,侯学良、欣玮玮、张若鹏,s.n.,20160730,西藏,3700,生荒坡,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU068520.jpg,,,,,,,,,, +绵头雪兔子,Saussurea laniceps,刘全儒,,20190808,四川,,商店购买,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0055172.jpg,,,,,,,,,, +绵头雪兔子,Saussurea laniceps,王启无,65726,19350800,云南省 ,3900,Mountain top rock crevice,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00496545.jpg,,,,,,,,,, +,Saussurea lavrenkoana,"E.V. Raab-Straube,M. Smalla & H. Sun",870,20000914,云南,4300,"On W-exposed, stabilized scree, marble",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498355.jpg,,,,,,,,,, +,Saussurea lavrenkoana,T. T. Yu,14644,1937/10/27,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00011764.jpg,,,,,,,,,, +双齿风毛菊,Saussurea lavrenkoana,T.T.Yu,14644,19371027,四川省,4000,草坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390552.jpg,,,,,,,,,, +平滑果风毛菊,Saussurea leiocarpa,生物研究所西藏考察队,2322,19730828,西藏自治区,4000,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/39183.jpg,,,,,,,,,, +平滑果风毛菊,Saussurea leiocarpa,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2750,20090927,西藏,4620,高山草甸,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1436642.jpg,,,,,,,,,, +,Saussurea leiocarpa,K. A. H. Smith,3526,1922/8/8,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00011765.jpg,,,,,,,,,, +薄苞风毛菊,Saussurea leptolepis,"陈又生,毕延超",11-157,20110817,云南省,4085,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111241.jpg,,,,,,,,,, +薄苞风毛菊,Saussurea leptolepis,Harry Smith,12732,19341005,,4200,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030134.jpg,,,,,,,,,, +薄苞风毛菊,Saussurea leptolepis,"倪志诚,汪永泽,次多,次旦",1134,19800816,西藏自治区,4200,山坡乱石堆中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454594.jpg,,,,,,,,,, +,Saussurea leucoma,鞠文彬,郑臣臣,THP-KD-6091,20170814,四川,3845,草地灌丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241762.jpg,,,,,,,,,, +羽裂雪兔子,Saussurea leucoma,J.F.Rock,10389,19230700,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00104655.jpg,,,,,,,,,, +羽裂雪兔子,Saussurea leucoma,,15186,1977-8 4,四川省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0147777.jpg,,,,,,,,,, +白叶风毛菊,Saussurea leucophylla,杨宗宗,03-215,20030724,新疆省,3500,,草本,,https://image.cvh.ac.cn/files/l/BNU/0020462.jpg,,,,,,,,,, +白叶风毛菊,Saussurea leucophylla,,623,71.08.10,新疆维吾尔自治区 ,2500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00042782.jpg,,,,,,,,,, +白叶风毛菊,Saussurea leucophylla,"李渤生,郑度,张百平",10119,19870621,新疆维吾尔自治区,3700,高山草甸常见物,,有花无果,https://image.cvh.ac.cn/files/l/PE/00392624.jpg,,,,,,,,,, +林周风毛菊,Saussurea lhunzhubensis,西藏中草药普查队,1925,19721007,西藏自治区,4050,沙质草地,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030137.jpg,,,,,,,,,, +川陕风毛菊,Saussurea licentiana,Licent,2881,19160907,陕西省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00049627.jpg,,,,,,,,,, +川陕风毛菊,Saussurea licentiana,付竞秋,1701,1958/10/3,河南,1890,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0116139.jpg,,,,,,,,,, +,Saussurea licentiana,"Licent, E.",2881,1916/9/7,,,,,,https://image.cvh.ac.cn/files/l/P/P00602866.jpg,,,,,,,,,, +小舌风毛菊,Saussurea lingulata,方震东,G127,20040630,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 008235.jpg,,,,,,,,,, +风毛菊,Saussurea lingulata,彭玉兰、张君议、杨焰,THP-KD-4293,20170714,四川,3876-4113,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0240332.jpg,,,,,,,,,, +小舌风毛菊,Saussurea lingulata,王启无,65374,19350800,西藏自治区,2800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393792.jpg,,,,,,,,,, +长叶雪莲,Saussurea longifolia,王为义,196,19790825,青海省,4600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/87468.jpg,,,,,,,,,, +长叶雪莲,Saussurea longifolia,任宪威,951,19730829,西藏自治区,4100,疏林草甸,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00059829.jpg,,,,,,,,,, +长叶雪莲,Saussurea longifolia,"郭永杰, 张桥蓉, 李春晓等",11CS3478,20110917,云南,3884,溪边林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1482937.jpg,,,,,,,,,, +,Saussurea loriformis,"Kingdon-Ward, Francis",74,11-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00175743.jpg,,,,,,,,,, +带叶风毛菊,Saussurea loriformis,余奇,郑臣臣,苏翠萍,胡苏,CIBYQ015B014,20180805,四川,4603,,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1502219.jpg,,,,,,,,,, +带叶风毛菊,Saussurea loriformis,T.T.Yu,9315,19370730,云南省,4150,mt grassy land,,有花无果,https://image.cvh.ac.cn/files/l/PE/00392748.jpg,,,,,,,,,, +大头羽裂风毛菊,Saussurea lyratifolia,青藏队,3805,19740731,西藏自治区,0,山坡水沟边草丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/731103.jpg,,,,,,,,,, +大耳叶风毛菊,Saussurea macrota,李思峰、黎斌、张莹、陈昊,12083,20090728,陕西省,2341,山坡疏林下,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/002467.jpg,,,,,,,,,, +,Saussurea macrota,"Farges, P.G.",1,,,,,,,https://image.cvh.ac.cn/files/l/P/P00602875.jpg,,,,,,,,,, +大耳叶风毛菊,Saussurea macrota,谢登峰、蔡竞、秦换换,SC-00-013-A-042,20200824,四川,4314.68m,灌草丛山坡,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02068715.jpg,,,,,,,,,, +尖头风毛菊,Saussurea malitiosa,不祥,??,19800820,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/95603.jpg,,,,,,,,,, +尖头风毛菊,Saussurea malitiosa,张中帅,383,20130914,甘肃省,3006,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02016291.jpg,,,,,,,,,, +尖头风毛菊,Saussurea malitiosa,左振常,123,1964/5/24,青海,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0296877.jpg,,,,,,,,,, +,Saussurea megaphylla,,,,,,,,,,,,,,,,,,, +黑苞风毛菊,Saussurea melanotricha,张志翔,赵良成,沐先运,2081,20140807,青海省,4700,草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00080885.jpg,,,,,,,,,, +,Saussurea melanotricha,D.E.Boufford etc.,30893,20040719,四川省,4200~4400,Scree slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1204154.jpg,,,,,,,,,, +黑苞风毛菊,Saussurea melanotricha,方震东、刘琳、李红、和光、史小武、赵卫东、陈洁,K-2314,20021015,云南省,4304,高山流石滩,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 007325.jpg,,,,,,,,,, +小风毛菊,Saussurea minuta,陈晓澄等,3782A,20130807,青海省,3905,高山草甸、裸岩、流石滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00015309.jpg,,,,,,,,,, +,Saussurea minuta,"Smith, Karl August Harald",11951,7-Sep-34,,,,,,https://image.cvh.ac.cn/files/l/E/E00383908.jpg,,,,,,,,,, +小风毛菊,Saussurea minuta,青藏队,3864,1981-8 6,四川省,4600,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0151893.jpg,,,,,,,,,, +蒙古风毛菊,Saussurea mongolica,,20986,19520912,江苏省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454816.jpg,,,,,,,,,, +华北风毛菊,Saussurea mongolica,Licent,10841,19330701,山西省,,,,无花有果,https://image.cvh.ac.cn/files/l/TIE/00049061.jpg,,,,,,,,,, +蒙古风毛菊,Saussurea mongolica,李保义,67,19860716,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005686.jpg,,,,,,,,,, +,Saussurea muliensis,"E.V. Raab-Straube,M. Smalla & H. Sun",869,20000914,云南,4300,"In rock fissures, marble",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498357.jpg,,,,,,,,,, +木里雪莲,Saussurea muliensis,方震东,116,19870710,云南省,4350~4750,高山流石滩,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002727.jpg,,,,,,,,,, +钻状风毛菊,Saussurea nematolepis,T.N.Ho(HNWP)等,2909,19960905,青海省,3500~3550,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286798.jpg,,,,,,,,,, +钻状风毛菊,Saussurea nematolepis,T.P.Wang,7941,19371024,四川省,1800,road side,herb,有花无果,https://image.cvh.ac.cn/files/l/PE/00030151.jpg,,,,,,,,,, +钻状风毛菊,Saussurea nematolepis,Wei-Ying Hsia,7026,19390900,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00393002.jpg,,,,,,,,,, +,Saussurea neofranchetii,彭玉兰、涂卫国,Gaoxf1012,20080907,四川,3314,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0238284.jpg,,,,,,,,,, +耳叶风毛菊,Saussurea neofranchetii,胡文光 何铸,10684,19510808,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00033139.jpg,,,,,,,,,, +,Saussurea neofranchetii,"David, A.",,1869-8,,,,,,https://image.cvh.ac.cn/files/l/P/P00258219.jpg,,,,,,,,,, +聂拉木风毛菊,Saussurea nyalamensis,西藏中草药普查队,1811,19720905,西藏自治区,4700,草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030152.jpg,,,,,,,,,, +聂拉木风毛菊,Saussurea nyalamensis,Barry、和光、马剑,D-025,20040708,云南省,4445,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002741.jpg,,,,,,,,,, +,Saussurea obvallata,,4755,19180827,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00037681.jpg,,,,,,,,,, +苞叶雪莲,Saussurea obvallata,方震东,86001,,云南省,4600,高山流石滩,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 002791.jpg,,,,,,,,,, +苞叶雪莲,Saussurea obvallata,C.W.Wang,65738,19350800,云南省 ,3200,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00109428.jpg,,,,,,,,,, +少花风毛菊,Saussurea oligantha,王作宾,11750,19390831,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0004721.jpg,,,,,,,,,, +少花风毛菊,Saussurea oligantha,李洪均,5534,1958/8/23,湖北,1350,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0201959.jpg,,,,,,,,,, +少花风毛菊,Saussurea oligantha,T.P.Wang,W.1729,1933/8/3,陕西,2600,,erect herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0016836.jpg,,,,,,,,,, +糠秕毛风毛菊,Saussurea paleacea,岳伟、苏旭、王玉金,LiuJQ-325,20110930,青海省,0~3316,温带草原平地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280660.jpg,,,,,,,,,, +糠秕毛风毛菊,Saussurea paleacea,青藏科考队,12742,19760810,西藏自治区,4400,高山 草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030157.jpg,,,,,,,,,, +糠秕毛风毛菊,Saussurea paleacea,岳伟、苏旭、王玉金,LiuJQ-237,20110925,四川省,0~4253,温带灌丛坡地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286007.jpg,,,,,,,,,, +红叶雪兔子,Saussurea paxiana,H.B.G,468,19930728,青海省,4600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0226440.jpg,,,,,,,,,, +红叶雪兔子,Saussurea paxiana,郭本兆 王为义,21523,????????,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/66150.jpg,,,,,,,,,, +红叶雪兔子,Saussurea paxiana,杨永昌,1243,1965/7/1,青海,4900,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0261864.jpg,,,,,,,,,, +显梗风毛菊,Saussurea peduncularis,刘德团、王丽果、张蓉婷、方仕仙、吴思梦,LJYZ028,20161027,云南,3251,亚热带针阔混交林,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1556797.jpg,,,,,,,,,, +,Saussurea peduncularis,"Delavay, J.M.",,,,,,,,https://image.cvh.ac.cn/files/l/P/P00705536.jpg,,,,,,,,,, +显梗风毛菊,Saussurea peduncularis,"张挺, 亚吉东, 杨娅娟, 陈凯",16CS13911,20161013,四川,2588,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1448983.jpg,,,,,,,,,, +褐花风毛菊,Saussurea phaeantha,史效武,MLS-62,20090917,云南省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001335.jpg,,,,,,,,,, +褐花雪莲,Saussurea phaeantha,高云东;李忠荣;鞠文彬,GaoXF-12-115,20120921,四川,4481,北温带高山草地 流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253826.jpg,,,,,,,,,, +褐花雪莲,Saussurea phaeantha,高云东;李忠荣;鞠文彬,12GaoXF115,20120921,四川省,4481,北温带高山草地 流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0253825.jpg,,,,,,,,,, +,Saussurea pinetorum,胡君、李丽、陈婉、吴宏蓉、唐双磊、朵泓睿,SC-a-114-B24,20190814,四川,3544,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0261689.jpg,,,,,,,,,, +,Saussurea pinetorum,王希蕖等3人,82284,19820920,福建省,2000,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00506642.jpg,,,,,,,,,, +,Saussurea pinetorum,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-151-B22,20190825,西藏,3505,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273845.jpg,,,,,,,,,, +羽裂风毛菊,Saussurea pinnatidentata,岳伟、苏旭、王玉金,LiuJQ-001,20110906,青海省,0~2735,温带灌丛坡地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286144.jpg,,,,,,,,,, +羽裂风毛菊,Saussurea pinnatidentata,黄土队,5589,1985/7/31,青海,2600,,草本、上升,有花无果,https://image.cvh.ac.cn/files/l/WUK/0460058.jpg,,,,,,,,,, +羽裂风毛菊,Saussurea pinnatidentata,岳伟、苏旭、王玉金,LiuJQ-317,20110930,甘肃省,0~3180,温带草原坡地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0281682.jpg,,,,,,,,,, +尖苞雪莲,Saussurea polycolea,陈晓澄等,4212,20130809,青海省,3650,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00014803.jpg,,,,,,,,,, +,Saussurea polycolea,T.T.Yu,13803,19371020,云南省,3600,草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00392735.jpg,,,,,,,,,, +,Saussurea polycolea,"Rock, J.F.",18127,29-Sep,,,,,,https://image.cvh.ac.cn/files/l/P/P00836211.jpg,,,,,,,,,, +,Saussurea polypodioides,"Forrest, George",2966,6-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00259758.jpg,,,,,,,,,, +水龙骨风毛菊,Saussurea polypodioides,T.T.Yu,7648,19370807,四川省,2800,on rocks cliff,,有花无果,https://image.cvh.ac.cn/files/l/PE/00392553.jpg,,,,,,,,,, +水龙骨风毛菊,Saussurea polypodioides,谢爱芳,zwy2007-86,20071005,云南省,3378,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 005253.jpg,,,,,,,,,, +革叶风毛菊,Saussurea poochlamys,,21415,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0054515.jpg,,,,,,,,,, +,Saussurea poochlamys,Harry Smith,12863,19341018,四川省,3600,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00455331.jpg,,,,,,,,,, +革叶风毛菊,Saussurea poochlamys,海仙,肖茂荣,李红,肖茂荣,HB2007-376,20071003,云南省,4020,高山流石滩,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 004545.jpg,,,,,,,,,, +,Saussurea porphyroleuca,,21117,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0054606.jpg,,,,,,,,,, +紫白风毛菊,Saussurea porphyroleuca,,s.n.,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393679.jpg,,,,,,,,,, +紫白风毛菊,Saussurea porphyroleuca,T.T.Yu,15590,19370915,云南省,3000,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393671.jpg,,,,,,,,,, +草原雪莲,Saussurea pratensis,0,,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00118085.jpg,,,,,,,,,, +草原雪莲,Saussurea pratensis,杨永昌,368,19640713,青海省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/171039.jpg,,,,,,,,,, +类尖头风毛菊,Saussurea pseudomalitiosa,Hoo et Wang,12577,1941/8/14,甘肃,3100,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0080046.jpg,,,,,,,,,, +类尖头风毛菊,Saussurea pseudomalitiosa,青海植物,,1958/ /,青海,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0297332.jpg,,,,,,,,,, +类尖头风毛菊,Saussurea pseudomalitiosa,吴玉虎,19566,20010723,青海省,0~2800,阴坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00007075.jpg,,,,,,,,,, +中亚风毛菊,Saussurea pseudosalsa,吴征缢、陈书坤、杜庆、庐树林,75-234,19750611,青海省,2840,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/53335.jpg,,,,,,,,,, +,Saussurea pseudosalsa,,85,19600817,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716458.jpg,,,,,,,,,, +,Saussurea pseudosalsa,,金07,19570824,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716338.jpg,,,,,,,,,, +延翅风毛菊,Saussurea pteridophylla,FLPH Sichuan Expedition,151145,20150825,四川省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02235018.jpg,,,,,,,,,, +,Saussurea pteridophylla,"Handel-Mazzetti, H.",5458,3-Oct-14,,,,,,https://image.cvh.ac.cn/files/l/E/E00383906.jpg,,,,,,,,,, +毛果风毛菊,Saussurea pubescens,西藏中草药普查队,881,19720730,西藏自治区,4900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030165.jpg,,,,,,,,,, +毛背雪莲,Saussurea pubifolia var. pubifolia,西藏中草花普查队,4278,19720819,西藏自治区,4500,石缝内,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00393723.jpg,,,,,,,,,, +美丽风毛菊,Saussurea pulchra,"杨帆, 马红媛, 安丰华",SNA0667,20180907,黑龙江,149,农田附近,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486095.jpg,,,,,,,,,, +美丽风毛菊,Saussurea pulchra,刘坤,LJQ-WYJ-430,20110925,甘肃省,0~3525,草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0282109.jpg,,,,,,,,,, +美丽风毛菊,Saussurea pulchra,喻勋林 徐永福 黄娟,80274,20080821,湖北省,1000,,,有花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI046354.jpg,,,,,,,,,, +垫风毛菊,Saussurea pulvinata,N.M.Przewalski,s.n.,18790000,内蒙古自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00030167.jpg,,,,,,,,,, +,Saussurea pulvinata,"Przewalski, N.M.",,1879,,,,,,https://image.cvh.ac.cn/files/l/P/P00705547.jpg,,,,,,,,,, +垫风毛菊,Saussurea pulvinata,郭本兆 王为义,11947,19750806,青海省,3100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/7563.jpg,,,,,,,,,, +紫苞风毛菊,Saussurea purpurascens,唐宏亮,SHB020194,20140731,河北,1389米,沼地,,有花无果,https://image.cvh.ac.cn/files/l/HBU/HBU0000225.jpg,,,,,,,,,, +紫苞风毛菊,Saussurea purpurascens,方震东,1049,19880908,云南省,4440,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002788.jpg,,,,,,,,,, +紫苞风毛菊,Saussurea purpurascens,BNU,LPS056,20120726,宁夏,2288,林下,草本,,https://image.cvh.ac.cn/files/l/BNU/0016083.jpg,,,,,,,,,, +槲叶雪兔子,Saussurea quercifolia,倪志诚 汪永泽 次多 次旦,1187,19800817,西藏自治区,4500,山坡流石堆,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0010761.jpg,,,,,,,,,, +,Saussurea quercifolia,鞠文彬,郑臣臣,THP-KD-6142,20170816,四川,4654,流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241272.jpg,,,,,,,,,, +,Saussurea quercifolia,"Forrest, George",13535,14-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00259824.jpg,,,,,,,,,, +倒齿风毛菊,Saussurea retroserrata,王清泉,21137,19790910,四川省,0~3200,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628104.jpg,,,,,,,,,, +倒齿风毛菊,Saussurea retroserrata,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2509,20090922,西藏,3640,高山草甸,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1436651.jpg,,,,,,,,,, +倒齿风毛菊,Saussurea retroserrata,方震东,DMA-190Az,20030630,云南,3400,,草本,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG008655.jpg,,,,,,,,,, +皱果风毛菊,Saussurea rhytidocarpa,陈又生,7151,20070723,四川省,4000,沙质坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01671014.jpg,,,,,,,,,, +,Saussurea rockii,"Rock, Joseph Francis Charles",5732,22-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00259763.jpg,,,,,,,,,, +显鞘风毛菊,Saussurea rockii,青藏队,8771,19820726,云南省,3500,山坡灌丛草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/00393858.jpg,,,,,,,,,, +禾叶风毛菊,Saussurea romuleifolia,高云东,邓亨宁,黎怀成,THP-KD-2287,20170808,四川,3400,,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0240760.jpg,,,,,,,,,, +,Saussurea romuleifolia,"Delavay, J.M.",58,1884-9-3,,,,,,https://image.cvh.ac.cn/files/l/P/P00705565.jpg,,,,,,,,,, +鸢尾叶风毛菊,Saussurea romuleifolia,王启无,7,193509,西藏自治区,3400,"Oek wood,open slope",,有花无果,https://image.cvh.ac.cn/files/l/KUN/729610.jpg,,,,,,,,,, +盐地风毛菊,Saussurea salsa,郭本兆,3307,19560731,甘肃省,2630,湿河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00390897.jpg,,,,,,,,,, +盐地风毛菊,Saussurea salsa,塔里木大学资源调查组,TD-00697,20060829,新疆,2670米,石质山坡,,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU01290.jpg,,,,,,,,,, +盐地风毛菊,Saussurea salsa,张洪军,许惠军,ZHANG2017HC149,20170924,甘肃,1310,温带灌木半灌木荒漠植被,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1438427.jpg,,,,,,,,,, +怒江风毛菊,Saussurea salwinensis,0,20393,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00118096.jpg,,,,,,,,,, +怒江风毛菊,Saussurea salwinensis,王启无,66043,19350800,西藏自治区,3800,Grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454035.jpg,,,,,,,,,, +,Saussurea salwinensis,"E.V. Raab-Straube,M. Smalla & H. Sun",828,20000910,云南,4900,"Open herb communities on steep(40°),E-exposed,coarse moving limestone scree.",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498365.jpg,,,,,,,,,, +糙毛风毛菊,Saussurea scabrida,四川植被调查队,乡3145,1973-8 1,四川省,4350,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0147458.jpg,,,,,,,,,, +,Saussurea scabrida,"Soulié, J.A.",209,1893,,,,,,https://image.cvh.ac.cn/files/l/P/P00602903.jpg,,,,,,,,,, +圆叶鼠李,Saussurea scabrida,徐良瑀 陈婧娴 葛星霏 高菲 张肖钰 陈紫薇 程斯佳,BJTC008756,20190702,北京市,1500,山坡,灌木,无花有果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008756.jpg,,,,,,,,,, +,Saussurea schlagintweiti,H. A. R. v. Schlagintweit,s.n.,,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00011773.jpg,,,,,,,,,, +,Saussurea schlagintweiti,FLPH Tibet Expedition,12-0215,20120905,西藏自治区,4667,岩石缝,,有花无果,https://image.cvh.ac.cn/files/l/PE/02113395.jpg,,,,,,,,,, +,Saussurea schlagintweiti,"张挺, 刘成, 亚吉东",18CS17755,20180918,西藏,4826,高山流石滩,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487378.jpg,,,,,,,,,, +,Saussurea schultzii,,3606,19170922,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00037677.jpg,,,,,,,,,, +,Saussurea semiamplexicaulis,"E.V. Raab-Straube,M. Smalla & H. Sun",792,20000909,云南,3350,Tall herbaceous vegetation and thickets in coniferous forest with Picea likiangensis and Pseudotsuga forrestii,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498360.jpg,,,,,,,,,, +半抱茎风毛菊,Saussurea semiamplexicaulis,康藏植物考察队,10-2103,20100817,西藏自治区,3670,山谷高山栎灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052836.jpg,,,,,,,,,, +半抱茎风毛菊,Saussurea semiamplexicaulis,陈又生,9673,20090830,云南省,3080,山谷草丛或石上,,有花无果,https://image.cvh.ac.cn/files/l/PE/02052839.jpg,,,,,,,,,, +锯叶风毛菊,Saussurea semifasciata,陈晓澄等,4320,20130810,青海,4035,高山草甸砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00022605.jpg,,,,,,,,,, +锯叶风毛菊,Saussurea semifasciata,虞泽荪,色06674,1974-7 2,四川省,4100,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0149177.jpg,,,,,,,,,, +锯叶风毛菊,Saussurea semifasciata,刘全儒,QH2014377,20140709,青海省,4320,山坡路边,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0031713.jpg,,,,,,,,,, +半琴叶风毛菊,Saussurea semilyrata,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2733,20090927,西藏,4620,高山草甸,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1436637.jpg,,,,,,,,,, +半琴叶风毛菊,Saussurea semilyrata,杨增宏,7281,19700807,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/041386.jpg,,,,,,,,,, +,Saussurea semilyrata,"E.V. Raab-Straube,M. Smalla & H. Sun",916,20000915,云南,4200,"Open Juniperus forest on S-exposed slope, slate.",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498377.jpg,,,,,,,,,, +绢毛风毛菊,Saussurea sericea,青藏队,976,19740812,西藏自治区,5150,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/00030175.jpg,,,,,,,,,, +绢毛风毛菊,Saussurea sericea,宋松泉,HN037,20081001,河南,1344,沟谷,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454413.jpg,,,,,,,,,, +绢毛风毛菊,Saussurea sericea,,13,19670904,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00392636.jpg,,,,,,,,,, +喜林风毛菊,Saussurea stricta,李培元,4369,1959/7/29,四川,1200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0352244.jpg,,,,,,,,,, +喜林风毛菊,Saussurea stricta,青藏队补点队,751576,19750825,西藏自治区,3200,河沟边,,有花有果,https://image.cvh.ac.cn/files/l/PE/00454432.jpg,,,,,,,,,, +喜林风毛菊,Saussurea stricta,K.M.Liou,L.5168,1935/8/15,河南,1400,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0016861.jpg,,,,,,,,,, +尖苞风毛菊,Saussurea subulisquama,"D.E.Boufford,Z.W.Ge & w.h.zHANG",42036,20090830,,410,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02102015.jpg,,,,,,,,,, +,Saussurea subulisquama,"T.N.Ho(HNWp),B.Bartholomew(CAS),M.Watson(E)and M.G",2133,19960820,青海省,4000,"Growing on rock outcrops mostly in crevices ,in sun and shade",,有花有果,https://image.cvh.ac.cn/files/l/PE/00454593.jpg,,,,,,,,,, +尖苞风毛菊,Saussurea subulisquama,康藏植物考察队,10-1159,20100803,西藏自治区,4150,草坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882901.jpg,,,,,,,,,, +草甸雪兔子,Saussurea thoroldii,青藏队,88-2620,19880725,新疆维吾尔自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/14865.jpg,,,,,,,,,, +草甸雪兔子,Saussurea thoroldii,何建农,399,19650904,四川省,0~3150,,,有花无果,https://image.cvh.ac.cn/files/l/N/280162289.jpg,,,,,,,,,, +草甸雪兔子,Saussurea thoroldii,张志翔,赵良成,沐先运,2097,20140808,青海省,4700,草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00080876.jpg,,,,,,,,,, +西藏风毛菊,Saussurea tibetica,S.G.Wu;H.Ohba;Y.H.Wu;Y.Fei,3889,19880807,新疆维吾尔自治区 ,3740,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/150288.jpg,,,,,,,,,, +西藏风毛菊,Saussurea tibetica,青藏队吴玉虎,2098,19880726,新疆维吾尔自治区,4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/150244.jpg,,,,,,,,,, +风毛菊属,Saussurea tibetica,"阳亿,孙露,张成",ZJW-3489,20150829,西藏自治区,3835,干热河谷沙坡,,,https://image.cvh.ac.cn/files/l/KUN/1274917.jpg,,,,,,,,,, +,Saussurea tridactyla var. tridactyla,,,,,,,,,,,,,,,,,,, +,Saussurea uliginosa var. uliginosa,,,,,,,,,,,,,,,,,,, +乌苏里风毛菊,Saussurea ussuriensis,郭贵林,85-545,19850905,黑龙江省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/14170015x0027.jpg,,,,,,,,,, +乌苏里风毛菊,Saussurea ussuriensis,T.P.Wang,5809,19360819,甘肃省,3400,,erect herb,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 011890.jpg,,,,,,,,,, +乌苏里风毛菊,Saussurea ussuriensis,肖崇礼,877,1958/9/28,陕西,1110,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0113424.jpg,,,,,,,,,, +变裂风毛菊,Saussurea variiloba,刘坤,LiuJQ-GN-413,20110921,甘肃省,0~2330,林缘,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0284701.jpg,,,,,,,,,, +毡毛雪莲,Saussurea velutina,史效武,MLS-185,20090921,云南省,4647,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001487.jpg,,,,,,,,,, +,Saussurea velutina,"E.V. Raab-Straube,M. Smalla & H. Sun",800,20000910,云南,4750,"On NE-exposed, coarse stabilized limestone scree.",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498342.jpg,,,,,,,,,, +毡毛雪莲,Saussurea velutina,,20965,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00015298.jpg,,,,,,,,,, +,Saussurea vestita,,21230,,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0054807.jpg,,,,,,,,,, +绒背风毛菊,Saussurea vestita,彭定一,46168,19820818,四川省,0~2780,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628191.jpg,,,,,,,,,, +被毛风毛菊,Saussurea vestita,杨增宏,,19701010,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/041387.jpg,,,,,,,,,, +羌塘雪兔子,Saussurea wellbyi,刘全儒,QH2012056,20120704,青海省,4612,草甸,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0038904.jpg,,,,,,,,,, +羌塘雪兔子,Saussurea wellbyi,陈晓澄等,5723,20140804,西藏,3603,沼泽草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023282.jpg,,,,,,,,,, +羌塘雪兔子,Saussurea wellbyi,,84-A-263,840703,,4850,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20023354.jpg,,,,,,,,,, +垂头雪莲,Saussurea wettsteiniana,武素功,1983,19590725,四川省,3600~3800,山箐 草坡 润湿,,有花无果,https://image.cvh.ac.cn/files/l/PE/00454988.jpg,,,,,,,,,, +,Saussurea wettsteiniana,"E.V. Raab-Straube,M. Smalla & H. Sun",801,20000912,云南,3400,"Tall herbaceous vegetation in willow bush near mountain stream, granite.",草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1498344.jpg,,,,,,,,,, +垂头雪莲,Saussurea wettsteiniana,G.Forrest,10722,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628201.jpg,,,,,,,,,, +牛耳风毛菊,Saussurea woodiana,S.G.Wu;H.Ohba;Y.H.Wu;Y.Fei,2701,19880814,新疆维吾尔自治区 ,5100,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/150660.jpg,,,,,,,,,, +牛耳风毛菊,Saussurea woodiana,方震东,JW412,20011128,云南省,4100,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 007919.jpg,,,,,,,,,, +牛耳风毛菊,Saussurea woodiana,青藏队藏北分队郎楷永,10034,19760825,西藏自治区,5500,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/61071.jpg,,,,,,,,,, +云南风毛菊,Saussurea yunnanensis,F.Ducloux,272,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0628204.jpg,,,,,,,,,, +云南凤毛菊,Saussurea yunnanensis,俞德浚,13710,19371015,云南省,3300,"side of road,grassy place",,有果无花,https://image.cvh.ac.cn/files/l/KUN/729865.jpg,,,,,,,,,, +,Saussurea yunnanensis,胡君、王东超、李丽、唐露,SC-a-078-B33,20180809,西藏,4300,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260044.jpg,,,,,,,,,, +黄盆花,Scabiosa ochroleuca,王万里,241,19571016,江苏省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00138582.jpg,,,,,,,,,, +,Scabiosa ochroleuca,J.B.Kummerle et al.,76,19110728,,110,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01165707.jpg,,,,,,,,,, +黄盆花,Scabiosa ochroleuca,,1168,60.07.30,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00019986.jpg,,,,,,,,,, +中华鹅掌柴,Schefflera chinensis,H.T. Tsai,59089,19341029,云南省 ,2000,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00083332.jpg,,,,,,,,,, +鹅掌楸,Schefflera chinensis,鲜光灿,,195803,云南,,乔木在分水岭常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00028848.jpg,,,,,,,,,, +中华鹅掌柴,Schefflera chinensis,邱炳云,53393,19561102,云南省,2200,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00083331.jpg,,,,,,,,,, +,Schefflera elliptica,"刘成,张挺,张书东",13CS6475,20130530,西藏自治区,920,山谷中岩石上,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1335470.jpg,,,,,,,,,, +,Schefflera elliptica,王功范,1-0913,20031007,贵州省,780,沟谷山坡密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/00942837.jpg,,,,,,,,,, +密脉鹅掌柴,Schefflera elliptica,田林普查队,4.51E+14,20121203,广西壮族自治区,412,,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0139835.jpg,,,,,,,,,, +,Schefflera glabrescens,独龙江考察队,1576,19910102,云南省,2600,山坡阔叶林,乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0449127.jpg,,,,,,,,,, +鹅掌柴,Schefflera heptaphylla,晏妮,20150625113,20150625,贵州,,,,无花有果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0007473.jpg,,,,,,,,,, +,Schefflera heptaphylla,钟义,4801,19611208,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/030672.jpg,,,,,,,,,, +鹅掌柴,Schefflera heptaphylla,侯小琪,520425170602125 LY,20170602,贵州省,1258,阳性、酸性土、灌丛、中生、中温野生植物,灌木,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0064862.jpg,,,,,,,,,, +红河鹅掌柴,Schefflera hoi,黄长春,9148,19831227,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0083823.jpg,,,,,,,,,, +大叶红河鹅掌柴,Schefflera hoi,C.W.Wang,66751,1935/10/,云南,2500,,shrub,有花无果,https://image.cvh.ac.cn/files/l/WUK/0036457.jpg,,,,,,,,,, +急尖叶红河鹅掌柴,Schefflera hoi,高信芬、彭玉兰、孙庚,3354,20020911,四川,2700,常绿阔叶林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0188269.jpg,,,,,,,,,, +扁盘鹅掌柴,Schefflera khasiana,蔡希陶,55849,,云南省 ,0,,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0449339.jpg,,,,,,,,,, +扁盘鹅掌柴,Schefflera khasiana,孙航,周浙昆等,2383,19921224,西藏自治区,1700,,小乔木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0449343.jpg,,,,,,,,,, +,Schefflera khasiana,"张挺,王建军,杨茜,王立彥",SCSB-B-000413,20070515,云南省,350,热带雨林林缘,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1335556.jpg,,,,,,,,,, +银鹅掌柴,Schefflera leucantha,蔡希陶,53255,,云南省 ,0,,灌木,有果无花,https://image.cvh.ac.cn/files/l/KUN/0449349.jpg,,,,,,,,,, +白花鹅掌柴,Schefflera leucantha,谢月英、农东新、彭玉德,451481150411002LY,20150411,广西壮族自治区,307,灌丛,林下,石灰土,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0176695.jpg,,,,,,,,,, +白花鹅掌柴,Schefflera leucantha,中越考察队,2069,1965-02-,永福省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0072933.jpg,,,,,,,,,, +星毛鸭脚木,Schefflera minutistellata,蓝开敏,841240,19840430,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/GFS/GFS0004060.jpg,,,,,,,,,, +星毛鸭脚木,Schefflera minutistellata,吴征镒,5682,19760909,西藏自治区,0,采伐迹地,小乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0449501.jpg,,,,,,,,,, +星毛鹅掌柴,Schefflera minutistellata,郭永杰;张桥蓉;秦少发;张凤琼,16CS14522,20161120,西藏,2280,公路边岩石上,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1480855.jpg,,,,,,,,,, +,Schefflera multinervia,H. T. Tsai,58437,1934/9/9,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00040885.jpg,,,,,,,,,, +多脉鹅掌柴,Schefflera multinervia,H.T.Tsai,58437,19340909,云南省,3200,in forest,tree,有花无果,https://image.cvh.ac.cn/files/l/PE/00025836.jpg,,,,,,,,,, +多脉鹅掌柴,Schefflera multinervia,H.T.Tsai,58437,1934.9.9.,云南,3200,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0002361.jpg,,,,,,,,,, +,Schefflera rhododendrifolia,青藏队,806,19730718,西藏自治区,2800,山坡铁杉杜鹃林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01584138.jpg,,,,,,,,,, +西藏鹅掌柴,Schefflera wardii,姚淦,263,19860000,西藏自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00002211.jpg,,,,,,,,,, +西藏鹅掌柴,Schefflera wardii,Chengshuzi,1912,19821208,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/NF/NF2015014.jpg,,,,,,,,,, +西藏鹅掌柴,Schefflera wardii,朱枫,张仲富,成梅,Wangsh-07ZX-038,20161009,云南,1596,路边灌丛,乔木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1436082.jpg,,,,,,,,,, +,Schima khasiana,辛景,636,1957/9/9,云南,2000,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00092651.jpg,,,,,,,,,, +尖齿木荷,Schima khasiana,赣州地区林科所,760310,19760705,江西省,800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0277588.jpg,,,,,,,,,, +印度木荷,Schima khasiana,,5.802,193108,,1500,,,无花有果,https://image.cvh.ac.cn/files/l/TIE/00051446.jpg,,,,,,,,,, +小花木荷,Schima parviflora,林学78级8组,263,19791027,贵州省,,,,无花有果,https://image.cvh.ac.cn/files/l/GFS/GFS0006941.jpg,,,,,,,,,, +小花木荷,Schima parviflora,方英才、王小平,15,,湖南,,,,有花有果,https://image.cvh.ac.cn/files/l/NYA/NYA0000962.jpg,,,,,,,,,, +,Schima parviflora,青藏队,76-537,,西藏,1980米,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00095073.jpg,,,,,,,,,, +独龙木荷,Schima sericans,冯国楣,24302,19591117,云南省,2000~1700,山坡阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/452051.jpg,,,,,,,,,, +独龙木荷,Schima sericans,林春,200811380,20080616,贵州省,1106,树丛,,无花有果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0003858.jpg,,,,,,,,,, +贡山木荷,Schima sericans,J.F.Rock,22185,193204,西藏自治区,2500,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/452049.jpg,,,,,,,,,, +红木荷,Schima wallichii,蒋兴麐,35209,19530811,四川省,,,乔木,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0010546.jpg,,,,,,,,,, +西南木荷,Schima wallichii,叶华谷、邢福武,9214,20031118,澳门,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0278195.jpg,,,,,,,,,, +西南木荷,Schima wallichii,S. Z.,790019,Sep-79,江西,350,,乔木,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00092742.jpg,,,,,,,,,, +小裂叶荆芥,Schizonepeta annua,李晖,文雪梅,次旺加布,李发平,Lihui-Q-0052,20080830,西藏,4266,荒漠化草原路边排水沟,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1389048.jpg,,,,,,,,,, +小裂叶荆芥,Schizonepeta annua,北师大宁夏队,HL093,2011/7/30,宁夏,,,,,https://image.cvh.ac.cn/files/l/BNU/004931.jpg,,,,,,,,,, +吉吉格-吉如格巴,Schizonepeta annua,,5746,58.06.19,新疆维吾尔自治区 ,1700,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00033178.jpg,,,,,,,,,, +,Schizotechium monospermum,,,,,,,,,,,,,,,,,,, +,Schizotechium paniculatum,,,,,,,,,,,,,,,,,,, +,Schmalhausenia nidulans,,,,,,,,,,,,,,,,,,, +香芙木,Schoepfia fragrans,大瑶山综考队,811973,19811122,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00197736.jpg,,,,,,,,,, +香芙木,Schoepfia fragrans,"蔡杰, 杨雪飞, 杨珺, Tial Cung Ling",15CS10777,20151221,曼德勒MyingyanKyaukpadaung,864,In the forest.,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1446690.jpg,,,,,,,,,, +香芙木,Schoepfia fragrans,"李渤生,程树志,倪志诚",3727,19830523,西藏自治区,1800,常绿阔叶林中偶见,,无花有果,https://image.cvh.ac.cn/files/l/PE/00875215.jpg,,,,,,,,,, +小果青皮木,Schoepfia griffithii,王汉臣,1769,19420320,云南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0386028.jpg,,,,,,,,,, +小果青皮木,Schoepfia griffithii,李勃生、程树志、倪志诚,3727,19830523,西藏自治区,1800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0386032.jpg,,,,,,,,,, +青皮木,Schoepfia jasminodora,李盛兰,GanQL442,20130618,湖北,764,山坡杂林中,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1454165.jpg,,,,,,,,,, +青皮木,Schoepfia jasminodora,普查标本,8176,19590719,河南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0386141.jpg,,,,,,,,,, +青皮木,Schoepfia jasminodora,郭本兆,2009,1952/8/19,陕西省  ,,,乔木 ,无花无果,https://image.cvh.ac.cn/files/l/WUK/0062315.jpg,,,,,,,,,, +白花蛇舌草,Scleromitrion diffusum,肖佳伟,ZZ150601600,20150601,江西宜春,,山谷,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU58600.jpg,,,,,,,,,, +白花蛇舌草,Scleromitrion diffusum,BNUZ19-04,104,20210422,广东,20,草地,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0054548.jpg,,,,,,,,,, +白花蛇舌草,Scleromitrion diffusum,张代贵,150811037,20130426,湖南永州,,水田,一年生草本,有花有果,https://image.cvh.ac.cn/files/l/JIU/JIU28190.jpg,,,,,,,,,, +,Scleromitrion verticillatum,,,,,,,,,,,,,,,,,,, +野甘草,Scoparia dulcis,,34363,19530924,Vermont,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/476741.jpg,,,,,,,,,, +野甘草,Scoparia dulcis,许姗姗,YNAU-079,201807,云南,,农田草坪,灌木,有花有果,https://image.cvh.ac.cn/files/l/BJFC/00112067.jpg,,,,,,,,,, +野甘草,Scoparia dulcis,C.W.Wang,77144,19360600,云南省 ,1400,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00100334.jpg,,,,,,,,,, +鸦葱,Scorzonera austriaca,李思锋,黎斌,张莹 ,张瑞博等,12336,2009/8/15,陕西,1180,山坡路旁,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/524856.jpg,,,,,,,,,, +鸦葱,Scorzonera austriaca,何建农,68,19650624,青海省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/280164029.jpg,,,,,,,,,, +,Scorzonera austriaca,江苏植物所秦岭植物园联合考察队,大巴山 2019478,20190516,陕西省,2418,高山草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00622372.jpg,,,,,,,,,, +,Scorzonera hotanica,,,,,,,,,,,,,,,,,,, +,Scorzonera mongolica,津自博植物部,22,20040510,天津市,,水周边坡地,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00060216.jpg,,,,,,,,,, +蒙古鸦葱,Scorzonera mongolica,黄河调查队,8365,19560901,陕西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/739210.jpg,,,,,,,,,, +蒙古鸦葱,Scorzonera mongolica,何叶祺,6417,1959/8/14,宁夏,1300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0391780.jpg,,,,,,,,,, +帕米尔鸦葱,Scorzonera pamirica,生物研究西藏考察队,3102,19740612,新疆维吾尔自治区,3370,山前 倾斜 平原,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00030660.jpg,,,,,,,,,, +光鸦葱,Scorzonera parviflora,T.Tang,771,19290516,山西省,850,open waste ground by rd. side,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00497553.jpg,,,,,,,,,, +光鸦葱,Scorzonera parviflora,靳淑英,50095,19650520,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00518381.jpg,,,,,,,,,, +光鸦葱,Scorzonera parviflora,"刘成, 张挺, 李昌洪, 熊晓强",16CS12349,20160605,新疆,433,沙丘,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1453185.jpg,,,,,,,,,, +,Scorzonera pseudodivaricata var. leiocarpa,,,,,,,,,,,,,,,,,,, +,Scorzonera pseudodivaricata var. pseudodivaricata,,,,,,,,,,,,,,,,,,, +细叶鸦葱,Scorzonera pusilla,王宏英,880005,19880702,甘肃,,路边,草本,有花有果,https://image.cvh.ac.cn/files/l/QYTC/QYTC0002601.jpg,,,,,,,,,, +细叶鸦葱,Scorzonera pusilla,王劲松,SK2015040131,20150713,河北,,,,有花无果,https://image.cvh.ac.cn/files/l/HBU/HBU0003576.jpg,,,,,,,,,, +细叶鸦葱,Scorzonera pusilla,葛学军,90011,90.05.18,新疆维吾尔自治区 ,1000,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00043681.jpg,,,,,,,,,, +,Scrophularia chasmophila subsp. xizangensis,"F. Ludlow, G. Sherriff & H. H. Elliot",13996,1947/6/25,,457,,,,https://image.cvh.ac.cn/files/l/HUH/A00091680.jpg,,,,,,,,,, +齿叶玄参,Scrophularia dentata,,TL209,83712,,4700,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20013000.jpg,,,,,,,,,, +齿叶玄参,Scrophularia dentata,,TL209,83.7.12,新疆维吾尔自治区 ,4700,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00034428.jpg,,,,,,,,,, +齿叶玄参,Scrophularia dentata,吴玉虎等,5292,19900729,青海省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/177719.jpg,,,,,,,,,, +高玄参,Scrophularia elatior,安顺队,1259,19590823,贵州省,2100,山脚密林下阴处沟底,,无花有果,https://image.cvh.ac.cn/files/l/HGAS/HGAS0071196.jpg,,,,,,,,,, +高玄参,Scrophularia elatior,E.E.Maire,,,云南省 ,0~2550,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0575697.jpg,,,,,,,,,, +高玄参,Scrophularia elatior,方震东、史效武,2011-289,20110908,云南省,3000,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 005712.jpg,,,,,,,,,, +砾玄参,Scrophularia incisa,鼠防班 ,10,19770613,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0034194.jpg,,,,,,,,,, +砾玄参,Scrophularia incisa,李攀,LP1108058,20110826,青海省,3201,湖边沙砾地,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0098816.jpg,,,,,,,,,, +砾玄参,Scrophularia incisa,王战,930,19510625,黑龙江省,650,河滩砾地上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/476869.jpg,,,,,,,,,, +,Scrophularia lhasaensis,F. Ludlow & G. Sherriff,9053,1942/9/1,,4572,,,,https://image.cvh.ac.cn/files/l/HUH/A00129250.jpg,,,,,,,,,, +轮花玄参,Scrophularia pauciflora,郭本兆 王为义,22626,19770816,西藏自治区,3000,,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/67364.jpg,,,,,,,,,, +轮花玄参,Scrophularia pauciflora,陈家辉,韩希,王广艳,李资磊,YangYP-Q-4323,20110911,西藏,3412,草丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1384517.jpg,,,,,,,,,, +轮花玄参,Scrophularia pauciflora,M.Tateno etc.,9950038,19990810,,4150,wet open slopes,,有花有果,https://image.cvh.ac.cn/files/l/KUN/1224798.jpg,,,,,,,,,, +荨麻叶玄参,Scrophularia urticifolia,,8331202,19830805,,2630~2850,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/701746.jpg,,,,,,,,,, +荨麻叶玄参,Scrophularia urticifolia,碧江队,707,19780623,云南省,2700,常绿阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/KUN/700888.jpg,,,,,,,,,, +荨麻叶玄参,Scrophularia urticifolia,周应再,Zhyz-322,20080915,云南,1697,未成林造林地,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1384528.jpg,,,,,,,,,, +,Scrophularia wattii,,,,,,,,,,,,,,,,,,, +梨果寄生,Scurrula atropurpurea,彭玉德,黄雪彦,韦荣昌,451025141013007LY,20141013,广西壮族自治区,752,灌丛,路旁,黄棕壤,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0105909.jpg,,,,,,,,,, +梨果寄生,Scurrula atropurpurea,农东新、莫连兰、农振欢,451229180425007LY,20180425,广西,648,灌丛,路旁,石灰土,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0181505.jpg,,,,,,,,,, +,Scurrula atropurpurea,PE-BO Team,476,20131216,,1600,under forest,,无花有果,https://image.cvh.ac.cn/files/l/PE/02012168.jpg,,,,,,,,,, +滇藏梨果寄生,Scurrula buddleioides,吴家荣,83021,19830425,四川省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0380229.jpg,,,,,,,,,, +滇藏梨果寄生,Scurrula buddleioides,华南队,1292,19890911,广西壮族自治区,250,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0380226.jpg,,,,,,,,,, +滇藏梨果寄生,Scurrula buddleioides,H.T.Tsai,54802,19331007,云南省 ,1800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0380231.jpg,,,,,,,,,, +,Scurrula buddleioides var. heynei,,,,,,,,,,,,,,,,,,, +高山寄生,Scurrula elata,"李渤生,程树志等",4404,19830429,西藏自治区,2300~2400,常绿阔叶林缘树上寄生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01491290.jpg,,,,,,,,,, +高山寄生,Scurrula elata,"刘成, 亚吉东",18CS17270,20181124,西藏,1639,次生林林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487471.jpg,,,,,,,,,, +高山寄生,Scurrula elata,李红、白洪兵,533324180910812LY,20180910,云南,2116,,灌木,有花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009412.jpg,,,,,,,,,, +锈毛梨果寄生,Scurrula ferruginea,红水河植物考察队,319,19890430,广西壮族自治区,800,山地山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/01985656.jpg,,,,,,,,,, +锈毛梨果寄生,Scurrula ferruginea,刘慎谔,15656,19460319,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0380283.jpg,,,,,,,,,, +锈毛梨果寄生,Scurrula ferruginea,,301,19730703,西藏自治区,1600,路旁,寄生,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00058772.jpg,,,,,,,,,, +红花寄生,Scurrula parasitica,谭世鑫,17,20040830,贵州省,950,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602666.jpg,,,,,,,,,, +红花寄生,Scurrula parasitica,,s.n.,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00891605.jpg,,,,,,,,,, +红花寄生,Scurrula parasitica,H.T.Tsai,53040,19330402,云南省 ,2000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0380499.jpg,,,,,,,,,, +小红花寄生,Scurrula parasitica var. graciliflora,安顺队,852,19590807,贵州省,1100,山谷,,无花有果,https://image.cvh.ac.cn/files/l/PE/00891612.jpg,,,,,,,,,, +小红花寄生,Scurrula parasitica var. graciliflora,李远杰,LYJ30,20171109,云南,1086,,寄生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026838.jpg,,,,,,,,,, +小红花寄生,Scurrula parasitica var. graciliflora,J.O.Voigt,363,,,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0380604.jpg,,,,,,,,,, +白花梨果寄生,Scurrula pulverulenta,T.T.Yu,17380,19380818,云南省,1800,upon trees,,无花有果,https://image.cvh.ac.cn/files/l/PE/00891636.jpg,,,,,,,,,, +白花梨果寄生,Scurrula pulverulenta,U.Singh,38,19280000,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0380659.jpg,,,,,,,,,, +白花梨果寄生,Scurrula pulverulenta,"张挺, 蔡杰, 刘成, 张桥蓉",13CS5903,20130112,云南,,路边山坡,寄生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1395412.jpg,,,,,,,,,, +地盆草,Scutellaria discolor,威远组,245,19780615,四川,600,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717308011.jpg,,,,,,,,,, +异色黄芩,Scutellaria discolor,容县普查队,450921180517068LY,20180517,广西,1198.2,阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0205540.jpg,,,,,,,,,, +异色黄芩,Scutellaria discolor,覃必治、肖燕爽,13108,19881107,广西壮族自治区,,山脚、路边、山上潮湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI058457.jpg,,,,,,,,,, +棱茎黄芩,Scutellaria scandens,"张永田,郞楷永",4376,19660622,西藏自治区,2400,山坡林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00837943.jpg,,,,,,,,,, +,Scutellaria violacea,"张挺, 王文治, 丰艳飞",12CS4171,20120801,云南,,山坡灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1396445.jpg,,,,,,,,,, +,Scutellaria violacea,"Maire, Edouard-Ernest",s.n.,,,,,,,https://image.cvh.ac.cn/files/l/E/E00284342.jpg,,,,,,,,,, +紫苏叶黄芩,Scutellaria violacea,Courtois,18908,19170520,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00227196.jpg,,,,,,,,,, +小黄管,Sebaea microphylla,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201427,20200802,西藏,2289,岩坡上,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508932.jpg,,,,,,,,,, +小黄管,Sebaea microphylla,龙陵县普查队,5305231511170559ly,20151117,云南省,541.7,灌丛,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0029096.jpg,,,,,,,,,, +小黄管,Sebaea microphylla,高信芬、彭玉兰、孙庚,3677,20020920,四川省,2700,,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0188953.jpg,,,,,,,,,, +细叶亮蛇床,Selinum wallichianum,潘泽惠、溥发鼎、李永江,973,Oct-86,四川省,3050,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094874.jpg,,,,,,,,,, +细叶亮蛇床,Selinum wallichianum,倪志诚,次多,次旦,2901,19820812,西藏自治区,2900,山坡草地,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0005000.jpg,,,,,,,,,, +,Selinum wallichianum,Futoshi Miyamoto et al.,20220171,20020818,,3800,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01932115.jpg,,,,,,,,,, +菊状千里光,Senecio analogus,田代科、顾建中,TDK00590,20120620,湖南,,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0013959.jpg,,,,,,,,,, +菊状千里光,Senecio analogus,张代贵,dt090623002,20090623,重庆,,林下草地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU68321.jpg,,,,,,,,,, +菊状千里光,Senecio analogus,杨文光,DT7292,20190801,四川,2659,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1514881.jpg,,,,,,,,,, +,Senecio arachnanthus,"Delavay, J.M.",4115,1889-8-6,,,,,,https://image.cvh.ac.cn/files/l/P/P00743010.jpg,,,,,,,,,, +长舌千里光,Senecio arachnanthus,王汉臣,1466,19411000,云南省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00998406.jpg,,,,,,,,,, +长舌千里光,Senecio arachnanthus,姚淦,3926,19901006,西藏自治区,2100,常绿阔叶林中,藤本,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00004930.jpg,,,,,,,,,, +狭羽叶千里光,Senecio argunensis,叶居新 ,410,19630904,黑龙江省,,地湿草地,,有花无果,https://image.cvh.ac.cn/files/l/IGA/IGA0015017.jpg,,,,,,,,,, +额河千里光,Senecio argunensis,刘正宇,18335,19950928,重庆,870,灌木林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01831024.jpg,,,,,,,,,, +额河千里光,Senecio argunensis,植物资源考察队,L0372,19830902,河南,850,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824554.jpg,,,,,,,,,, +,Senecio atrofuscus,"Ludlow, Frank; Sherriff, George & Elliott, H.H.",14324,11-Aug-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00417019.jpg,,,,,,,,,, +黑褐千里光,Senecio atrofuscus,罗建、汪书丽,LIUJQ082,20110827,西藏自治区,0~4243,山坡灌丛,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280496.jpg,,,,,,,,,, +黑褐千里光,Senecio atrofuscus,俞德浚,12745,19370808,云南省,3400,草坡,,有花无果,https://image.cvh.ac.cn/files/l/KUN/724934.jpg,,,,,,,,,, +千里光,Senecio chenopodifolius,陈立同、田新民,Ljq07125,20070912,西藏自治区,3800,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/00002880.jpg,,,,,,,,,, +,Senecio chungtienensis,"Forrest, George",12641,14-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00413186.jpg,,,,,,,,,, +中甸千里光,Senecio chungtienensis,G.Forrest,28819,19300000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854678.jpg,,,,,,,,,, +稻城千里光,Senecio daochengensis,植被调查队,3877,19730820,四川省,4800,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01854639.jpg,,,,,,,,,, +,Senecio daochengensis,彭玉兰、涂卫国,Gaoxf0841,20080828,四川,3107,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0204512.jpg,,,,,,,,,, +稻城千里光,Senecio daochengensis,T.T.Yu,12745,,云南省,3400,grassy slope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01834030.jpg,,,,,,,,,, +密花千里光,Senecio densiflorus,H.T.Tsai,51492,19330110,云南省,1800,on rocky hill,herb,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0012080.jpg,,,,,,,,,, +密花千里光,Senecio densiflorus,李洪钧,11480,19731112,湖北省,800,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0022455.jpg,,,,,,,,,, +,Senecio densiflorus,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/080363.jpg,,,,,,,,,, +密齿千里光,Senecio densiserratus,Wei-Ying Hsia,7043,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00608790.jpg,,,,,,,,,, +密齿千里光,Senecio densiserratus,刘坤,LiuJQ-GN-469,20111001,甘肃省,0~2806,灌丛边缘,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0283174.jpg,,,,,,,,,, +密齿千里光,Senecio densiserratus,W.Y.Hsia,7043,1939/09/,甘肃,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0091898.jpg,,,,,,,,,, +异羽千里光,Senecio diversipinnus,周太炎等,6512322,19650808,新疆维吾尔自治区 ,3800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/20077.jpg,,,,,,,,,, +无舌变种,Senecio diversipinnus,"何铸,周子林",13076,19520000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609031.jpg,,,,,,,,,, +异羽千里光,Senecio diversipinnus,方震东,S-7375,20021019,云南省,3400,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 008009.jpg,,,,,,,,,, +黑缘千里光,Senecio dodrans,陈又生,7430,20070813,四川省,383,杜鹃林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01647927.jpg,,,,,,,,,, +,Senecio drukensis,"Kingdon-Ward, Francis",6118,23-Aug-24,,,,,,https://image.cvh.ac.cn/files/l/E/E00413191.jpg,,,,,,,,,, +,Senecio drukensis,"李渤生,程树志等",478,19820902,西藏自治区,3150,河滩时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00608862.jpg,,,,,,,,,, +垂头千里光,Senecio drukensis,克里木,92370,1992.8.2,新疆维吾尔自治区 ,1500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00045310.jpg,,,,,,,,,, +裸缨千里光,Senecio echaetus,青藏队植被组,4711,19750719,西藏自治区,3150,沼泽草甸,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00608865.jpg,,,,,,,,,, +裸缨千里光,Senecio echaetus,"张挺, 刘成, 亚吉东",18CS17708,20180916,西藏,3850,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487413.jpg,,,,,,,,,, +峨眉千里光,Senecio faberi,F.T.Wang,23342,1931/7/15,河北,2300,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0048559.jpg,,,,,,,,,, +峨眉千里光,Senecio faberi,中国科学院,50817,1955/7/21,云南,,,herb直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0193847.jpg,,,,,,,,,, +峨眉千里光,Senecio faberi,湘黔队,22741,19830726,贵州省,2300,,草本,无花无果,https://image.cvh.ac.cn/files/l/HGAS/027445.jpg,,,,,,,,,, +,Senecio filiferus,孙祥麟,472,19390612,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00037972.jpg,,,,,,,,,, +,Senecio filiferus,"Delavay, J.M.",,1894-7,,,,,,https://image.cvh.ac.cn/files/l/P/P00743048.jpg,,,,,,,,,, +,Senecio filiferus,王乾,M-364,20181013,四川,2548,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0268124.jpg,,,,,,,,,, +新疆千里光,Senecio jacobaea,刘媖心等,698,19830813,新疆,,撩荒地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824555.jpg,,,,,,,,,, +新疆千里光,Senecio jacobaea,,393,1972.7.2,新疆维吾尔自治区 ,800,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00045406.jpg,,,,,,,,,, +新疆千里光,Senecio jacobaea,关克俭,1681,19570721,新疆维吾尔自治区,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0601687.jpg,,,,,,,,,, +,Senecio jiulongensis,,,,,,,,,,,,,,,,,,, +天山千里光,Senecio kawaguchii,陈晓澄等,3810,20130807,青海省,3905,高山草甸、裸岩、流石滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00015350.jpg,,,,,,,,,, +,Senecio kongboensis,Ludlow; Sherriff & Elliott,14432,22-Aug-47,,,,,,https://image.cvh.ac.cn/files/l/E/E00413190.jpg,,,,,,,,,, +工布千里光,Senecio kongboensis,"应俊生,洪德元",651022,19650823,西藏自治区,3650,南坡习崩槽疏草丛中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609070.jpg,,,,,,,,,, +,Senecio kunlunshanicus,,,,,,,,,,,,,,,,,,, +拉萨千里光,Senecio lhasaensis,青藏队,2913,19741200,西藏自治区,4360,河滩 草甸 湿地上,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00609374.jpg,,,,,,,,,, +拉萨千里光,Senecio lhasaensis,钟补求,6159,19530925,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01854672.jpg,,,,,,,,,, +丽江千里光,Senecio lijiangensis,中甸队,1431,19620826,云南省,3700~3800,冷杉林下成片,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609365.jpg,,,,,,,,,, +君范千里光,Senecio lingianus,"程树志,李渤生",163,19820816,西藏自治区,2800~3900,高山灌丛草甸下常见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609225.jpg,,,,,,,,,, +,Senecio megalanthus,鞠文彬,郑臣臣,THP-KD-6256,20170817,四川,4320,水沟边石砾坡,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0251578.jpg,,,,,,,,,, +大花千里光,Senecio megalanthus,刘波,LIU-B-069,20130712,吉林,187,湖滨带,,无花有果,https://image.cvh.ac.cn/files/l/IGA/IGA0009738.jpg,,,,,,,,,, +兔儿伞,Senecio megalanthus,学生,,19790826,黑龙江,,,,有花无果,https://image.cvh.ac.cn/files/l/NEAU/NEAU0000945.jpg,,,,,,,,,, +木里千里光,Senecio muliensis,张挺、郭永杰,16CS13671,20160831,四川,4739,高山草甸,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1481012.jpg,,,,,,,,,, +,Senecio muliensis,"Yü, Tse-tsun",14591,20-Oct-37,,,,,,https://image.cvh.ac.cn/files/l/E/E00413185.jpg,,,,,,,,,, +木里千里光,Senecio muliensis,四川植被调查队,346,1971-8 7,四川省,3900,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0146536.jpg,,,,,,,,,, +多苞千里光,Senecio multibracteolatus,海仙、李磊、谢爱芳,LCJ-167,20100909,云南省,2961,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 004938.jpg,,,,,,,,,, +,Senecio multibracteolatus,T. T. Yu,14786,1937/11/16,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00012270.jpg,,,,,,,,,, +多苞千里光,Senecio multibracteolatus,赵清盛、刘建生等,8155,1978-8 2,四川省,2550,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0146544.jpg,,,,,,,,,, +林荫千里光,Senecio nemorensis,邹立军,11142,20050811,湖南省,1350,山林,灌丛中,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU21611.jpg,,,,,,,,,, +林荫千里光,Senecio nemorensis,张志英,864,1958/8/11,陕西,1550,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0102615.jpg,,,,,,,,,, +林荫千里光,Senecio nemorensis,邢吉庆,22876,19791026,陕西省,1500,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH013579.jpg,,,,,,,,,, +,Senecio nigrocinctus,"Delavay, J.M.",3168,1887-8-19,,,,,,https://image.cvh.ac.cn/files/l/P/P00743099.jpg,,,,,,,,,, +黑苞千里光,Senecio nigrocinctus,J.F.ROCK,6267,19230800,云南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/280162469.jpg,,,,,,,,,, +黑苞千里光,Senecio nigrocinctus,孙航等,SunH-07ZX-26,20090925,西藏自治区,0~4080,高山草甸,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0765616.jpg,,,,,,,,,, +节花千里光,Senecio nodiflorus,孙航,张建文,陈建国,陈林杨,董金龙,李国栋,刘常周,彭德力,陆覃昱,张永增,SunH-07ZX-2699,20091025,西藏,4200,,直立草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1436891.jpg,,,,,,,,,, +节花千里光,Senecio nodiflorus,北京所横断山队,3858,19810825,云南省,3400~3800,冰川谷支沟砾石河滩 时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609519.jpg,,,,,,,,,, +节花千里光,Senecio nodiflorus,青藏队,73-1021,19760814,西藏自治区,3000,山坡 冰碛砾石,,有花有果,https://image.cvh.ac.cn/files/l/PE/00609560.jpg,,,,,,,,,, +裸茎千里光,Senecio nudicaulis,,6871,1974-5 2,四川省,2000,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0146550.jpg,,,,,,,,,, +,Senecio nudicaulis,"Delavay, P.J.M.",4853,1890-3-16,,,,,,https://image.cvh.ac.cn/files/l/P/P00743107.jpg,,,,,,,,,, +裸茎千里光,Senecio nudicaulis,C.W.Wang,71457,19350700,云南省,2700,,herb,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 011971.jpg,,,,,,,,,, +钝叶千里光,Senecio obtusatus,木本油料调查组,65-0230,19650628,云南省 ,1850,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00092727.jpg,,,,,,,,,, +钝叶千里光,Senecio obtusatus,联大,10960,19380714,云南省,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/724250.jpg,,,,,,,,,, +钝叶千里光,Senecio obtusatus,管中天,7357,19590415,四川省,1570,小山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01690109.jpg,,,,,,,,,, +西南千里光,Senecio pseudomairei,吴金清,樊明策,9356,20080302,重庆,107,江边,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0177273.jpg,,,,,,,,,, +,Senecio pseudomairei,"Cavalerie, Pierre Julien",3364,8-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00385522.jpg,,,,,,,,,, +西南千里光,Senecio pseudomairei,,11052,1975-8 1,四川省,2800,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0146573.jpg,,,,,,,,,, +蕨叶千里光,Senecio pteridophyllus,王镜泉,196,19780916,新疆,1150,耕地渠边,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093467.jpg,,,,,,,,,, +蕨叶千里光,Senecio pteridophyllus,程堂仁,张强英,郭治友等,H-黔丹寨-Z-0542,20100813,贵州,531,草坡上,草本、喜阳,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00073438.jpg,,,,,,,,,, +蕨叶千里光,Senecio pteridophyllus,罗亚皇,YMT2600-1-1085,20140827,云南,2730,华山松-云南松林,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1446751.jpg,,,,,,,,,, +,Senecio ramosa,,,,,,,,,,,,,,,,,,, +莱菔叶千里光,Senecio raphanifolius,熊惠江、杜诗兴,520203160618003LY,20160618,贵州省,1435.1,旱生、阳性、酸性土、中温、野生植物、草丛,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0032176.jpg,,,,,,,,,, +,Senecio raphanifolius,王乾、顾健,SCW0198,20190831,四川,3572,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0267233.jpg,,,,,,,,,, +莱菔叶千里光,Senecio raphanifolius,魏来、何毅,BNUXZ2016428,20160730,西藏,3200,湿生草甸,,,https://image.cvh.ac.cn/files/l/BNU/0028171.jpg,,,,,,,,,, +风毛菊状千里光,Senecio saussureoides,傅德志 赵志龙等,87-2230,19870823,四川省,3500,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/004974.jpg,,,,,,,,,, +风毛菊状千里光,Senecio saussureoides,"T.N.Ho、B.Bartholomew、M.Watson,等",2398,19960825,西藏自治区,3600,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00001112.jpg,,,,,,,,,, +风毛菊状千里光,Senecio saussureoides,T.N.Ho B.Barthlolmew M.Watson et al,2398,19960825,青海省,3600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01673797.jpg,,,,,,,,,, +蔓黄菀,Senecio scandens var. scandens,中美梵净山调查队,1829,19860929,贵州省,1100~1400,,草本,有花无果,https://image.cvh.ac.cn/files/l/HGAS/029895.jpg,,,,,,,,,, +千里光,Senecio scandens var. scandens,临桂普查队,450322121103019LY,20121103,广西壮族自治区,220,阔叶林,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0157170.jpg,,,,,,,,,, +千里光(原变种),Senecio scandens var. scandens,海仙、白洪兵,5333241812011034LY,20181201,云南,2328,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009694.jpg,,,,,,,,,, +葶状千里光,Senecio scapiformis,张永田 郎楷永/Y.T.Chang & K.Y.Lang,4231,19660615,西藏自治区,3750,山坡 草地 水边,草本,有花有果,https://image.cvh.ac.cn/files/l/PE/00609222.jpg,,,,,,,,,, +,Senecio spathiphyllus,George Forrest,26359,1922,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU050500.jpg,,,,,,,,,, +匙叶千里光,Senecio spathiphyllus,C.W.Wang,63502,19350529,云南省 ,2540,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00092728.jpg,,,,,,,,,, +匙叶千里光,Senecio spathiphyllus,陈善墉 何铸 钟明芳,10320,19580621,四川,,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM719403716.jpg,,,,,,,,,, +西藏千里光,Senecio tibeticus,魏来、何毅,BNUXZ2016355,20160721,西藏,3630,路旁山坡,,,https://image.cvh.ac.cn/files/l/BNU/0028185.jpg,,,,,,,,,, +西藏千里光,Senecio tibeticus,青藏队植被组,5698,19750801,西藏自治区,4050,山坡 水沟边 沼泽草甸边缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/01490498.jpg,,,,,,,,,, +三尖千里光,Senecio tricuspis,倪志诚 汪永泽 次多 次旦,915,19800730,西藏自治区,1860,杂木林之下,灌木,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0008223.jpg,,,,,,,,,, +三尖千里光,Senecio tricuspis,冯国楣,2106,19390820,云南省,0,on open hillside.,,有花无果,https://image.cvh.ac.cn/files/l/KUN/823284.jpg,,,,,,,,,, +三尖千里光,Senecio tricuspis,青藏队,13172,19830821,四川省,3500~3600,山坡 Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01535701.jpg,,,,,,,,,, +光叶绢蒿,Seriphidium aucheri,任宪威,,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005031.jpg,,,,,,,,,, +光叶绢蒿,Seriphidium aucheri,刘海源,234,19860913,新疆,1800,农田边,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027807.jpg,,,,,,,,,, +短叶绢蒿,Seriphidium brevifolium,郝加琛,XZ14494,20140724,西藏自治区,3900,山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0039176.jpg,,,,,,,,,, +短叶绢蒿,Seriphidium brevifolium,N.C.Shah & S.C.Singh,Cimap LKO ,19811022,,2000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0543621.jpg,,,,,,,,,, +短叶绢蒿,Seriphidium brevifolium,"张洪军, 许惠军",ZHANG2016HC205,20160706,甘肃,1786,温带灌木、半灌木荒漠植被,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1454328.jpg,,,,,,,,,, +聚头绢蒿,Seriphidium compactum,T.P.Wang,6276,19361006,青海省,3200,in weedy plain,,有花无果,https://image.cvh.ac.cn/files/l/PE/00457462.jpg,,,,,,,,,, +聚头绢蒿,Seriphidium compactum,河西队,313,19670828,甘肃省,2700,以斜为主草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/00457454.jpg,,,,,,,,,, +聚头绢蒿,Seriphidium compactum,"近田文弘,郎楷永",580,19870913,新疆维吾尔自治区,2300,戈壁滩 干山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01197660.jpg,,,,,,,,,, +苍绿绢蒿,Seriphidium fedtschenkoanum,皮锡铭、米吉提,421,,新疆维吾尔自治区 ,0~1500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617615.jpg,,,,,,,,,, +苍绿绢蒿,Seriphidium fedtschenkoanum,杨昌友,750545,19750720,新疆维吾尔自治区,0~3000,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617614.jpg,,,,,,,,,, +苍绿绢蒿,Seriphidium fedtschenkoanum,刘海源,429,19860926,新疆,,河边,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00027806.jpg,,,,,,,,,, +费尔干绢蒿,Seriphidium ferganense,托孜,780434,1978618,,2500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20020736.jpg,,,,,,,,,, +费尔干绢蒿,Seriphidium ferganense,新疆综合考察队,K-279,19590612,新疆维吾尔自治区,,坡积物上,,有花无果,https://image.cvh.ac.cn/files/l/PE/00457469.jpg,,,,,,,,,, +费尔干绢蒿,Seriphidium ferganense,托孜,780141,1978.5.2,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00040164.jpg,,,,,,,,,, +纤细绢蒿,Seriphidium gracilescens,马健,GXA20170716007,20170716,新疆,334,温带荒漠草原,半灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1459296.jpg,,,,,,,,,, +纤细绢蒿,Seriphidium gracilescens,,208,1964826,,980,,灌木,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20020816.jpg,,,,,,,,,, +纤细绢蒿,Seriphidium gracilescens,秦仁昌,412,19560719,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00295485.jpg,,,,,,,,,, +高原绢蒿,Seriphidium grenardii,,s.n.,,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617630.jpg,,,,,,,,,, +高原绢蒿,Seriphidium grenardii,新疆综合考察队,k-89,19590513,新疆维吾尔自治区,2600,昆仓山坡前山带,黄土山梁北4度,,无花无果,https://image.cvh.ac.cn/files/l/PE/00457524.jpg,,,,,,,,,, +伊塞克绢蒿,Seriphidium issykkulense,张振万等,3988,197489,,830,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20020832.jpg,,,,,,,,,, +伊塞克绢蒿,Seriphidium issykkulense,李安仁 朱家柟,7661,1958.9.8,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00040276.jpg,,,,,,,,,, +伊塞克绢蒿,Seriphidium issykkulense,林有润,74807,19740807,新疆维吾尔自治区,0~830,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617655.jpg,,,,,,,,,, +昆仑绢蒿,Seriphidium korovinii,"李安仁,朱家楠",8443,19580919,新疆维吾尔自治区,3000,山坡 阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/00457569.jpg,,,,,,,,,, +蒙青绢蒿,Seriphidium mongolorum,刘全儒,20200925022,20200925,青海,2663,山坡,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0053987.jpg,,,,,,,,,, +蒙青绢蒿,Seriphidium mongolorum,西藏攻察队,4410,19740920,青海省,0~2700,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617665.jpg,,,,,,,,,, +蒙青绢蒿,Seriphidium mongolorum,朱宗元、温都苏,23,19820908,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0029989.jpg,,,,,,,,,, +高山绢蒿,Seriphidium rhodanthum,克里木,T54,19838,,3220,,小半灌木,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20021018.jpg,,,,,,,,,, +高山绢蒿,Seriphidium rhodanthum,朱格麟等,6624,19640905,新疆维吾尔自治区,0~925,,多年生,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617693.jpg,,,,,,,,,, +高山绢蒿,Seriphidium rhodanthum,杨慧钊,201906049,20190703,新疆,3503.78,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1525558.jpg,,,,,,,,,, +西藏绢蒿,Seriphidium thomsonianum,Y.R.Ling,s.n.,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617720.jpg,,,,,,,,,, +伊犁绢蒿,Seriphidium transiliense,克里木,416,1981719,,420,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20021401.jpg,,,,,,,,,, +伊犁绢蒿,Seriphidium transiliense,陈绍煋,781315,19780816,新疆,1700,草地,,,https://image.cvh.ac.cn/files/l/BJM/162713.jpg,,,,,,,,,, +伊犁绢蒿,Seriphidium transiliense,赵一之,185,20000927,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/HIMC/0038541.jpg,,,,,,,,,, +滇麻花头,Serratula forrestii,攀枝花苏铁考察队,542,20100916,四川省,1637,灌草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882676.jpg,,,,,,,,,, +滇麻花头,Serratula forrestii,毛品一,1774,19521117,云南省,2000,石山 石崖上,干燥,,有花有果,https://image.cvh.ac.cn/files/l/PE/00516294.jpg,,,,,,,,,, +滇麻花头,Serratula forrestii,M.I'abbe Delavay,4723,18881000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0617823.jpg,,,,,,,,,, +脂麻,Sesamum indicum,田东采集队,451022180529035LY,20180529,广西壮族自治区,364.9,草丛,草本,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0168703.jpg,,,,,,,,,, +芝麻,Sesamum indicum,,,20130713,山西省,780,,,无花无果,https://image.cvh.ac.cn/files/l/SSMM/0002163.jpg,,,,,,,,,, +胡麻,Sesamum indicum,王玉雷,津0901,19790710,天津市,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00030501.jpg,,,,,,,,,, +多毛西风芹,Seseli delavayi,秦官属,302,19731022,云南省,2800,山谷阴处、阳处,灌木丛中,草本,无花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH010968.jpg,,,,,,,,,, +,Seseli delavayi,"Delavay, J.M.",2024,1885-9-4,,,,,,https://image.cvh.ac.cn/files/l/P/P04197843.jpg,,,,,,,,,, +竹叶防风,Seseli delavayi,孙祥麟,3374,19590603,四川省,1000,荒草坡,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00024064.jpg,,,,,,,,,, +竹叶西风芹,Seseli mairei,朱意麟、严枫、滕建北、杨明灿、甘日呈、陈思任,450481141201017LY,20141201,广西壮族自治区,262,阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0146499.jpg,,,,,,,,,, +单叶西风芹,Seseli mairei,,5658,,四川,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715006361.jpg,,,,,,,,,, +竹叶西风芹,Seseli mairei,王跃华;申仕康等,YNUWYH021B09,20180926,云南,3580,林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1565077.jpg,,,,,,,,,, +紫鞘西风芹(紫鞘邪蒿),Seseli purpureovaginatum,侯元同,郭成勇,侯春丽,201605267-2,20160501,四川省,1975.9,石壁瀑布下,草本,有花无果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0025478.jpg,,,,,,,,,, +,Seseli purpureovaginatum,"王东超,杨大松,张春林",YangYP-Q-5095,20110911,西藏自治区,4297,河边草地,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1337200.jpg,,,,,,,,,, +紫鞘西风芹,Seseli purpureovaginatum,陈晓澄等,5979,20140804,西藏,3603,沼泽草甸,,无花有果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00021318.jpg,,,,,,,,,, +粗糙西风芹,Seseli squarrulosum,钟补求,8878,1958/7/10,青海,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0100754.jpg,,,,,,,,,, +粗糙西风芹,Seseli squarrulosum,傅坤俊,16370,1964/7/29,甘肃,1700,,草本、直立,有花无果,https://image.cvh.ac.cn/files/l/WUK/0363764.jpg,,,,,,,,,, +粗糙西风芹,Seseli squarrulosum,庄平等,2004096,20040802,四川省,3600,,,有花有果,https://image.cvh.ac.cn/files/l/WCSBG/004542.jpg,,,,,,,,,, +松叶西风芹,Seseli yunnanense,蔡希陶,56198,,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00128833.jpg,,,,,,,,,, +松叶西风芹,Seseli yunnanense,盐源县队,263,,四川,,草地,,无花无果,https://image.cvh.ac.cn/files/l/SM/SM715006382.jpg,,,,,,,,,, +松叶西风芹,Seseli yunnanense,H.T.Tsai,56198,,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00026094.jpg,,,,,,,,,, +,Shehbazia tibetica,PE西藏考察队,8036,20180702,西藏自治区,5129,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332359.jpg,,,,,,,,,, +,Shivparvatia ciliolata,,,,,,,,,,,,,,,,,,, +,Shivparvatia forrestii,,,,,,,,,,,,,,,,,,, +,Shivparvatia glanduligera,,,,,,,,,,,,,,,,,,, +,Shivparvatia ramellata,,,,,,,,,,,,,,,,,,, +,Shivparvatia rhodantha,,,,,,,,,,,,,,,,,,, +,Shivparvatia stracheyi,,,,,,,,,,,,,,,,,,, +,Shorea robusta,"S.Akiyama,M.Amano,C.Mouri et al.",20100301,20010517,,900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01348779.jpg,,,,,,,,,, +粗壮婆罗双,Shorea robusta,肖来云,22051,19970412,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/081046.jpg,,,,,,,,,, +婆罗双,Shorea robusta,李龙丹,20184490,20180421,贵州省,431,树上,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0027391.jpg,,,,,,,,,, +黄花稔,Sida acuta,寿海洋、王樟华,SHY01093,20130705,浙江省,258.88,,,无花有果,https://image.cvh.ac.cn/files/l/CSH/0012993.jpg,,,,,,,,,, +黄花稔,Sida acuta,叶华谷、曾飞燕,LXP10-884,20130804,江西省,0~200,山谷、疏林、路旁、阳处,草本,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0773021.jpg,,,,,,,,,, +黄花稔,Sida acuta,韦春强、李象钦,RQXN08005,20160117,广西省,89.1,路边,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0125884.jpg,,,,,,,,,, +白背黄花稔,Sida rhombifolia,C.M.Wang,5587,20020519,台湾省,300,On unplowing rice field,,无花无果,https://image.cvh.ac.cn/files/l/PE/01983776.jpg,,,,,,,,,, +白背黄花稔,Sida rhombifolia,刘清许,2.01E+11,20130707,福建,,,,有花有果,https://image.cvh.ac.cn/files/l/AU/AU074027.jpg,,,,,,,,,, +白背黄花稔,Sida rhombifolia,刘金魁,709,20040919,湖南省,320,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01610280.jpg,,,,,,,,,, +拔毒散,Sida szechuensis,张代贵,张代富,821017,20190821,四川,1337,路边,亚灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1515342.jpg,,,,,,,,,, +拔毒散,Sida szechuensis,余丽莹、黄宝优、姚积军、杨直升,451031121130205LY,20121130,广西,,灌丛,路旁,黄棕壤,草本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0115407.jpg,,,,,,,,,, +拔毒散,Sida szechuensis,郭惠珠,严春发,谢德禄,948,20081016,福建,43~201.3,栽植于花坛,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0004728.jpg,,,,,,,,,, +,Silene akiyamae,,,,,,,,,,,,,,,,,,, +女娄菜,Silene aprica,苗青,DT-P001-122,20160513,辽宁省辽阳市,38.1,"风沙土平原,有很多杨树,有水蚀,冰草与芦苇多。",,无花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF000249.jpg,,,,,,,,,, +女娄菜,Silene aprica,张玉良,795,1950-05-,东三省,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0149504.jpg,,,,,,,,,, +女娄菜,Silene aprica,"高宝纯,伍煜庭",111566,19740608,四川省,1600,荒坡上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00558141.jpg,,,,,,,,,, +掌脉蝇子草,Silene asclepiadea,李跃难,CS0222,20080629,贵州,900,路边,,有花有果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0001814.jpg,,,,,,,,,, +,Silene asclepiadea,彭玉兰、涂卫国、幸福,Gaoxf517,20080721,四川,2787,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0205818.jpg,,,,,,,,,, +掌脉蝇子草,Silene asclepiadea,Y.Tsiang,11202,19330720,云南省 ,2000~2300,,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00309906.jpg,,,,,,,,,, +狗筋蔓,Silene baccifera,张代贵、王业清、朱晓琴,2216,20170821,湖北宜昌,1519,湿地草丛,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/HHE13097.jpg,,,,,,,,,, +狗筋蔓,Silene baccifera,杜大华,3245,19320000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00389919.jpg,,,,,,,,,, +狗筋蔓,Silene baccifera,王良信,790326002,19790730,黑龙江,,,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0003250.jpg,,,,,,,,,, +,Silene birgittae,,,,,,,,,,,,,,,,,,, +,Silene caespitella,徐波,陈光富,陈林杨,董金龙,SunH-07ZX-1422,20080729,西藏,4418,高山灌丛,流石滩,直立草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1239448.jpg,,,,,,,,,, +白屈菜,Silene caespitella,梁爽,BJTC008988,20190701,北京市,963,山坡路边,草本,有花有果,https://image.cvh.ac.cn/files/l/BJTC/BJTC008988.jpg,,,,,,,,,, +,Silene caespitella,"King, G.",164,1882,,,,,,https://image.cvh.ac.cn/files/l/P/P01903003.jpg,,,,,,,,,, +克什米尔蝇子草,Silene cashmeriana,西藏中草药普查队,1470,19720824,西藏自治区,2700,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/80661.jpg,,,,,,,,,, +克什米尔蝇子草,Silene cashmeriana,魏来、何毅,BNUXZ2016109,20160717,西藏,3750~4100,山坡灌草丛,,,https://image.cvh.ac.cn/files/l/BNU/0028276.jpg,,,,,,,,,, +,Silene colorata,Joseph Matera et al.,H107,19930421,,70,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01698883.jpg,,,,,,,,,, +麦瓶草,Silene conoidea,,1,19730602,陕西省,700,麦地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01608719.jpg,,,,,,,,,, +麦瓶草,Silene conoidea,?,79-253,1979.7.7,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00008538.jpg,,,,,,,,,, +麦瓶草,Silene conoidea,,3425,19100501,江西省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00558867.jpg,,,,,,,,,, +隐瓣蝇子草,Silene gonosperma,王启无,69584,19350900,云南省,3200,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/00559496.jpg,,,,,,,,,, +隐瓣蝇子草,Silene gonosperma,刘继孟,1695,19570720,山西省,,"山顶,草地,阳处",,无花有果,https://image.cvh.ac.cn/files/l/PE/00559462.jpg,,,,,,,,,, +隐瓣蝇子草,Silene gonosperma,,26259,1960/8/3,新疆维吾尔族自治区,1800,,草本 ,有花无果,https://image.cvh.ac.cn/files/l/WUK/0249387.jpg,,,,,,,,,, +,Silene gracilicaulis,张挺,郭永杰,刘成,杨娟,孙之星,张云川,08CS622,20080904,云南,2814,路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1239538.jpg,,,,,,,,,, +细蝇子草,Silene gracilicaulis,,3677,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00559642.jpg,,,,,,,,,, +细蝇子草,Silene gracilicaulis,王明川,YD260807-242,20140807,贵州,,水旁、草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0008321.jpg,,,,,,,,,, +禾叶蝇子草,Silene graminifolia,张振万,胡志新,张荣生,3248,1974/7/14,新疆维吾尔族自治区,1610,,草本 ,无花无果,https://image.cvh.ac.cn/files/l/WUK/0298640.jpg,,,,,,,,,, +禾叶蝇子草,Silene graminifolia,青海铁卜加草原改良站,72083,19720705,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00559673.jpg,,,,,,,,,, +,Silene graminifolia,陈世龙,高庆波,张发起,李印虎,付鹏程,邢睿,ChenSL1272,20110725,青海,4100,高山草甸,金露梅灌丛,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1303061.jpg,,,,,,,,,, +喜马拉雅蝇子草,Silene himalayensis,刘全儒,HLS074,2005/7/21,内蒙古,2800~3000,,,,https://image.cvh.ac.cn/files/l/BNU/004816.jpg,,,,,,,,,, +喜马拉雅蝇子草,Silene himalayensis,白水江考察队,491,20060627,甘肃省,3300,草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01841792.jpg,,,,,,,,,, +喜马拉雅蝇子草,Silene himalayensis,刘尚武,3158,19890722,青海省,4100,流石滩草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/00559790.jpg,,,,,,,,,, +,Silene holosteifolia,,,,,,,,,,,,,,,,,,, +无腺狭果蝇子草,Silene huguettiae var. pilosa,陶德定,750565,19750714,西藏自治区,2740,山麓,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/0514118.jpg,,,,,,,,,, +无腺狭果蝇子草,Silene huguettiae var. pilosa,陶德定,13,19780615,青海省,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0514107.jpg,,,,,,,,,, +,Silene huguettiae var. pilosa,彭玉兰、涂卫国、幸福,Gaoxf508,20080721,四川,3380,高山灌丛,直立草本,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0205812.jpg,,,,,,,,,, +,Silene indica,胡君、王东超、李丽、唐露,SC-a-069-B38,20180806,云南,,高山栎群落中,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00608668.jpg,,,,,,,,,, +印度蝇子草,Silene indica,青藏队,3782,19740731,西藏自治区,0,沟边砂砾地,草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0514126.jpg,,,,,,,,,, +印度蝇子草,Silene indica,M.Suzuki et al.,9485253,19940803,,2190,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01522757.jpg,,,,,,,,,, +,Silene jugora,,,,,,,,,,,,,,,,,,, +,Silene kumaonensis,生态室高原组,10444,19800612,西藏自治区,3670,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268492.jpg,,,,,,,,,, +,Silene markamensis,张挺,李爱花,刘成,郭永杰,08CS677,20080913,西藏,3103,河谷山坡路边,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1239863.jpg,,,,,,,,,, +,Silene markamensis,费勇,孙航等,91,19900712,西藏自治区,2900,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0514222.jpg,,,,,,,,,, +冈底斯山蝇子草,Silene moorcroftiana,泛喜马拉雅植物志巴基斯坦采集队,FPH-0862,20120625,,3500,Plateau,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004836.jpg,,,,,,,,,, +冈底斯山蝇子草,Silene moorcroftiana,T.Y.A.Yang et al.,13972,20010908,台湾省,2500,"Trailside,beside ditch",,有花无果,https://image.cvh.ac.cn/files/l/PE/01603303.jpg,,,,,,,,,, +冈底斯山蝇子草,Silene moorcroftiana,"李渤生,李辉,阳艺",13817,19900916,西藏自治区,4000,干旱山坡偶见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486988.jpg,,,,,,,,,, +尼泊尔蝇子草,Silene nepalensis,王启无,68008,19350700,云南省,3200,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00580432.jpg,,,,,,,,,, +尼泊尔蝇子草,Silene nepalensis,杨永昌,1302,19650729,青海省,4300,草甸草原,,无花有果,https://image.cvh.ac.cn/files/l/PE/00580523.jpg,,,,,,,,,, +,Silene nepalensis,张挺,李爱花,刘成,郭永杰,08CS643,20080911,四川,3815,高山栎林下,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1239820.jpg,,,,,,,,,, +变黑蝇子草,Silene nigrescens,余岩、粟美好,2022753,20200718,四川,4497,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02022753.jpg,,,,,,,,,, +变黑蝇子草,Silene nigrescens,George Forrest,27837,19290700,云南省,4000,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00580530.jpg,,,,,,,,,, +,Silene nigrescens,联大,21344,,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0514343.jpg,,,,,,,,,, +宽叶变黑蝇子草,Silene nigrescens subsp. latifolia,杨竞生,91-767,19910801,西藏自治区,4750~4950,山流石滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/00580579.jpg,,,,,,,,,, +宽叶变黑蝇子草,Silene nigrescens subsp. latifolia,鞠文彬,郑臣臣,THP-KD-6150,20170816,四川,4654,流石滩,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0250256.jpg,,,,,,,,,, +宽叶变黑蝇子草,Silene nigrescens subsp. latifolia,T.T.Yu,13042,19370830,四川省,4100,山坡草地,,无花有果,https://image.cvh.ac.cn/files/l/PE/00580568.jpg,,,,,,,,,, +,Silene nutans,M.Pignal,3582,20090523,,140,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02079034.jpg,,,,,,,,,, +长梗蝇子草,Silene pterosperma,W.Y.Hsia,8781,19300000,甘肃省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00580745.jpg,,,,,,,,,, +长梗蝇子草,Silene pterosperma,张相宜、成瑞瑜、郭泳棂,SC-Z-00-10-028,20200920,四川,2906,山坡草场,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02060632.jpg,,,,,,,,,, +,Silene pterosperma,陈世龙,高庆波,张发起等,ChenSL0999,20100813,青海,3550,高山草原,直立草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1239465.jpg,,,,,,,,,, +,Silene tibetica,"Maclagan, R.",633,July 1847,,,,,,https://image.cvh.ac.cn/files/l/E/E00015077.jpg,,,,,,,,,, +,Silene tubulosa,,,,,,,,,,,,,,,,,,, +,Silene zayuensis,,,,,,,,,,,,,,,,,,, +蜘蛛花,Silvianthus bracteatus,屏边县中药资源普查队,5325230873,20120829,云南省,910,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0017649.jpg,,,,,,,,,, +,Silvianthus bracteatus,中越考察队,2263,19650215,山西,590~460,老林下,,有花有果,https://image.cvh.ac.cn/files/l/KUN/81526.jpg,,,,,,,,,, +蜘蛛花,Silvianthus bracteatus,肖云学、申健勇、马兴达,XTBGXYX003B051,20190509,云南,776,,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1554484.jpg,,,,,,,,,, +革叶华蟹甲,Sinacalia caroli,杨亚滨,132,1973-8 5,四川省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0146669.jpg,,,,,,,,,, +,Sinacalia caroli,白龙江考察队,817,19980726,甘肃省,2700,山地 山坡 疏林 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01556213.jpg,,,,,,,,,, +双花华蟹甲,Sinacalia davidii,杨文光,DT7410,20190802,四川,3461,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1514656.jpg,,,,,,,,,, +双花华蟹甲,Sinacalia davidii,"倪志诚,汪永泽,次多,次旦",1371,19800826,西藏,2900,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01831838.jpg,,,,,,,,,, +双花华蟹甲,Sinacalia davidii,邢吉庆,22868,19791025,陕西省,1500,山坡路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH015673.jpg,,,,,,,,,, +华蟹甲,Sinacalia tangutica,李维清,512,19990718,陕西省,550,山坡(荒坡沙土),草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00620815.jpg,,,,,,,,,, +华蟹甲,Sinacalia tangutica,张少贞,刘联,79-0006,19790922,甘肃,,汫边花丛中,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093481.jpg,,,,,,,,,, +华蟹甲,Sinacalia tangutica,黄土队,4675,1985/8/16,宁夏,2250,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0463416.jpg,,,,,,,,,, +华福花,Sinadoxa corydalifolia,T.N.Ho(HNWP)等,2194,19960821,青海省,0~4650,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0286949.jpg,,,,,,,,,, +,Sinoarabis setosifolia,,,,,,,,,,,,,,,,,,, +,Sinocarum cruciatum var. cruciatum,,,,,,,,,,,,,,,,,,, +长柄小芹,Sinocarum dolichopodum,C.W.Wang,64532,19350700,云南省,3700,Mountain top,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755422.jpg,,,,,,,,,, +长柄小芹,Sinocarum dolichopodum,夏光成,米泰康,462,19600928,西藏自治区,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465893.jpg,,,,,,,,,, +长柄小芹,Sinocarum dolichopodum,J.F.Rock,16541,19280600,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00045152.jpg,,,,,,,,,, +蕨叶小芹,Sinocarum filicinum,联大,12092,19380911,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465895.jpg,,,,,,,,,, +蕨叶小芹,Sinocarum filicinum,青藏队,5581,1981-8 2,四川省,4500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094951.jpg,,,,,,,,,, +,Sinocarum filicinum,,12092,19380911,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0065463.jpg,,,,,,,,,, +,Sinocarum pityophilum,"Forrest, G.",3078,,,,,,,https://image.cvh.ac.cn/files/l/P/P00752749.jpg,,,,,,,,,, +阔鞘小芹,Sinocarum vaginatum,溥发鼎,372,1984-9 2,四川省,4300,,,有花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0094955.jpg,,,,,,,,,, +,Sinocarum vaginatum,"Forrest, George",15484,17-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00000443.jpg,,,,,,,,,, +阔鞘小芹,Sinocarum vaginatum,王汉臣,4511,19440821,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755439.jpg,,,,,,,,,, +,Sinogentiana striata,,,,,,,,,,,,,,,,,,, +君范菊,Sinoleontopodium lingianum,西藏生物所植物资源队,3373,19830726,西藏自治区,4500,高山流石坡,草本,有花无果,https://image.cvh.ac.cn/files/l/PE/01842121.jpg,,,,,,,,,, +,Sinolimprichtia alpina var. alpina,,,,,,,,,,,,,,,,,,, +植夫蒲儿根,Sinosenecio fangianus,"何铸,周子林",12931,19520000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00852947.jpg,,,,,,,,,, +圆叶华千里光,Sinosenecio rotundifolius,白水江考察队,800,20060630,甘肃省,3000,冷杉杜鹃林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01612601.jpg,,,,,,,,,, +圆叶华千里光,Sinosenecio rotundifolius,川经植,702,19620529,四川省,2430,生于山腰 山坡 灌丛桦木红蔷薇间隙中,,有花有果,https://image.cvh.ac.cn/files/l/PE/00853128.jpg,,,,,,,,,, +,Sinosenecio rufus,,,,,,,,,,,,,,,,,,, +莲座蒲儿根,Sinosenecio subrosulatus,张超,20071119,20070703,四川省,3150,,草本,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/018103.jpg,,,,,,,,,, +莲座蒲儿根,Sinosenecio subrosulatus,王作宾,14462,19510719,甘肃省,3300,冷杉林下生苔藓深原处,,有花有果,https://image.cvh.ac.cn/files/l/PE/00853152.jpg,,,,,,,,,, +莲座蒲儿根,Sinosenecio subrosulatus,王作宾,14462,1951/7/19,甘肃,3300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0050289.jpg,,,,,,,,,, +松潘蒲儿根,Sinosenecio sungpanensis,"杨亲二,袁琼,刘莹",1042,20070710,四川省,3350,林下 沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01894774.jpg,,,,,,,,,, +,Sinoswertia tetraptera,,,,,,,,,,,,,,,,,,, +筒冠花,Siphocranion macranthum,谭沛祥,59738,19581011,广东省,600,山地路旁山谷疏林湿润,,有花无果,https://image.cvh.ac.cn/files/l/KUN/821405.jpg,,,,,,,,,, +筒冠花,Siphocranion macranthum,灌阳县普查队,450327151020039LY,20151020,广西壮族自治区,1337,阔叶林、路旁,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0173624.jpg,,,,,,,,,, +,Siphocranion macranthum,S.L.Sun,971,19390811,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00243828.jpg,,,,,,,,,, +阴行草,Siphonostegia chinensis,张重岭,85,19910729,内蒙古自治区,,山坡草地,,无花无果,https://image.cvh.ac.cn/files/l/YAK/0003249.jpg,,,,,,,,,, +阴行草,Siphonostegia chinensis,黄迎新,1040,20150718,吉林省白城市,145,草甸/盐化低地草甸/草甸土,,有花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0230189.jpg,,,,,,,,,, +阴行草,Siphonostegia chinensis,李胜华,伍贤进,曾汉元,张俭,HHXY332,20060914,湖南,778,八面山山顶,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1384532.jpg,,,,,,,,,, +绒毛假蒜芥,Sisymbriopsis mollipila,武素功,费勇等,2152,19880808,新疆维吾尔自治区 ,4100,on gravely steep slope,草本,有果无花,https://image.cvh.ac.cn/files/l/KUN/0532009.jpg,,,,,,,,,, +绒毛假蒜芥,Sisymbriopsis mollipila,中国科学院青甘调查队,602,19590707,青海省,3690~3900,南山坡 粗质土,,有花有果,https://image.cvh.ac.cn/files/l/PE/01123919.jpg,,,,,,,,,, +绒毛假蒜芥,Sisymbriopsis mollipila,N.M.Przewalski,s.n.,18790723,西藏自治区,4000,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00934834.jpg,,,,,,,,,, +双湖假蒜芥,Sisymbriopsis shuanghuica,青藏队植被组,11990,19760722,西藏自治区,4800,沙质山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01123923.jpg,,,,,,,,,, +无毛大蒜芥,Sisymbrium brassiciforme,生物研究所西藏考察队,4012,19740818,西藏自治区,3900,田边路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01123970.jpg,,,,,,,,,, +无毛大蒜芥,Sisymbrium brassiciforme,西植新疆队,924,1978/7/4,新疆维吾尔族自治区,3520,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0333987.jpg,,,,,,,,,, +无毛大蒜芥,Sisymbrium brassiciforme,关克俭,517,19570530,新疆维吾尔自治区,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01996000.jpg,,,,,,,,,, +垂果大蒜芥,Sisymbrium heteromallum,PE西藏考察队,7733,20180624,西藏自治区,3902,砾石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332044.jpg,,,,,,,,,, +垂果大蒜芥,Sisymbrium heteromallum,黄土高原采集队,2748,19840727,山西省,1500,山坡草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01603060.jpg,,,,,,,,,, +垂果大蒜芥,Sisymbrium heteromallum,T.H. Ting,,1927/7/23,内蒙古,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0004966.jpg,,,,,,,,,, +钻果大蒜芥,Sisymbrium officinale,莫瑞玲、黎宁芬,16103,20050420,广西壮族自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0009149.jpg,,,,,,,,,, +钻果大蒜芥,Sisymbrium officinale,邬文祥,10182,19990427,江苏省,,南坡草丛,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00582581.jpg,,,,,,,,,, +钻果大蒜芥,Sisymbrium officinale,Wai-Yu Lee,4702,19790715,Lancs,,路边,,有花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0417461.jpg,,,,,,,,,, +滇西泽芹,Sium frigidum,青藏队,1596,1981-6 1,云南省,3130,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0102795.jpg,,,,,,,,,, +,Sium frigidum,"Handel-Mazzetti, Heinrich",7684,16-Aug-15,,,,,,https://image.cvh.ac.cn/files/l/E/E00000562.jpg,,,,,,,,,, +滇西泽芹,Sium frigidum,,,19810812,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/069813.jpg,,,,,,,,,, +,Skimmia anquetilia,,,,,,,,,,,,,,,,,,, +乔木茵芋,Skimmia arborescens,青藏队植被组,2454,19740807,西藏自治区,2700,山坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01538847.jpg,,,,,,,,,, +乔木茵芋,Skimmia arborescens,Chih-Hui Chen,1078,19910709,台湾省,2178,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0410019.jpg,,,,,,,,,, +乔木茵芋,Skimmia arborescens,"张挺, 李国峰, 潘勃, 游章平",12CS3962,20120426,广东,1684,林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1485659.jpg,,,,,,,,,, +月桂茵芋,Skimmia laureola,青藏队补点,751604,19750826,西藏自治区,3000,灌丛中,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/0519781.jpg,,,,,,,,,, +,Skimmia laureola,思茅,,19640405,云南,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00023214.jpg,,,,,,,,,, +月桂茵芋,Skimmia laureola,刘恩德等,3622,20120324,云南省,2248,in forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/01920473.jpg,,,,,,,,,, +黑果茵芋,Skimmia melanocarpa,Y.Tsiang,10777,19320902,广西壮族自治区,1120,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00405189.jpg,,,,,,,,,, +黑果茵芋,Skimmia melanocarpa,T.N. Liou,P.C.Tsoong  ,2622,1935/8/12,安徽省,1600,,乔木,有花有果,https://image.cvh.ac.cn/files/l/WUK/0483183.jpg,,,,,,,,,, +黑果茵芋,Skimmia melanocarpa,"胡文光,何铸",10237,19510701,四川省,,丛林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00691820.jpg,,,,,,,,,, +多脉茵芋,Skimmia multinervia,李鸣冈,1094,19391101,云南省 ,2700,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0410110.jpg,,,,,,,,,, +多脉茵芋,Skimmia multinervia,余少林,900401,1956/12/7,广西壮族自治区,680,,乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0183151.jpg,,,,,,,,,, +多脉茵芋,Skimmia multinervia,Y.Tsiang,13168,19330000,云南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00691953.jpg,,,,,,,,,, +茵芋,Skimmia reevesiana,裘佩熹,1976,19580815,福建省,1150,水旁、山谷、沟底,阴处,岩石上,潮湿地疏密林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/02249000.jpg,,,,,,,,,, +茵芋,Skimmia reevesiana,金效华,5081,20030000,海南省,1000~1800,林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02248886.jpg,,,,,,,,,, +茵芋,Skimmia reevesiana,马边组,1219,19780816,四川,1300,林中,小灌木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM707901923.jpg,,,,,,,,,, +,Smelowskia annua,,,,,,,,,,,,,,,,,,, +,Smelowskia bartholomewii,,,,,,,,,,,,,,,,,,, +,Smelowskia sunhangii,,,,,,,,,,,,,,,,,,, +西藏芹叶荠,Smelowskia tibetica,张挺,刘成,何华杰,19CS18715,20190910,西藏,5084,高山草甸,一年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1505883.jpg,,,,,,,,,, +,Smelowskia tibetica,李渤生,11820,19880629,新疆维吾尔自治区,4900,火山熔 岩中时见,,无花无果,https://image.cvh.ac.cn/files/l/PE/01998171.jpg,,,,,,,,,, +,Smelowskia tibetica,张建文,杨斌,陈洪梁,Zh641,20130902,青海省,4085,,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1260743.jpg,,,,,,,,,, +喀西茄,Solanum aculeatissimum,刘正宇、张军等,RQHZ06203,20141103,四川省,783,荒地,草本,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0129067.jpg,,,,,,,,,, +喀西茄,Solanum aculeatissimum,鹿寨县普查队,450223170815001LY,20170815,广西,103,草丛,路旁,黄棕壤,一般;野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00417714.jpg,,,,,,,,,, +颠茄,Solanum aculeatissimum,朱志淞,194,19500827,广东,,村中,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00034726.jpg,,,,,,,,,, +少花龙葵,Solanum americanum,邱相东、杨蕾、肖娜金、王恩赐,G181014021,20181014,江西,150,,,有花无果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0013981.jpg,,,,,,,,,, +少花龙葵,Solanum americanum,贺乐,02+1,20060828,湖南省,,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU16403.jpg,,,,,,,,,, +少花龙葵,Solanum americanum,西沙队,3211,19740619,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0530562.jpg,,,,,,,,,, +,Solanum anguivi,梁恒,100239,19561009,广西壮族自治区,,平地路旁,灌木,无花有果,https://image.cvh.ac.cn/files/l/FJSI/FJSI023920.jpg,,,,,,,,,, +,Solanum anguivi,Xiam.Exp.,54,19810925,福建省,,路边荒地,灌木,无花有果,https://image.cvh.ac.cn/files/l/FJSI/FJSI023917.jpg,,,,,,,,,, +刺天茄,Solanum anguivi,赵忠涵,1877,20180706,福建,240,山林,灌木,无花有果,https://image.cvh.ac.cn/files/l/AU/AU065195.jpg,,,,,,,,,, +牛茄子,Solanum capsicoides,秦仁昌,22296,19290421,云南省,0,水沟边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/184610.jpg,,,,,,,,,, +牛茄子,Solanum capsicoides,詹选怀、彭焱松等,LXP0764,20131120,江西,201,平地、路旁、村边,草本,无花有果,https://image.cvh.ac.cn/files/l/LBG/LBG00136809.jpg,,,,,,,,,, +牛茄子,Solanum capsicoides,武大,8526,0,四川省,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/183834.jpg,,,,,,,,,, +苦茄,Solanum dulcamara,毕国昌,504,19600624,安徽,,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00034733.jpg,,,,,,,,,, +欧白英,Solanum dulcamara,,BJTC038047,,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC038047.jpg,,,,,,,,,, +苦茄,Solanum dulcamara,岳俊三,2063,19551110,安徽省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00229055.jpg,,,,,,,,,, +,Solanum erianthum,"Esquirol, Joseph Henri (Rev. Père)",137,4-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00284476.jpg,,,,,,,,,, +假烟叶树,Solanum erianthum,张代贵,y1021,20090816,广东湛江,,灌从,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU66673.jpg,,,,,,,,,, +假烟叶树,Solanum erianthum,张代贵,20130715051,20130715,湖南湘西州,,荒山荒地,小乔木,无花无果,https://image.cvh.ac.cn/files/l/JIU/JIU36136.jpg,,,,,,,,,, +,Solanum lasiocarpum,,9319,19590000,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/043621.jpg,,,,,,,,,, +毛茄,Solanum lasiocarpum,中苏队,3170,0,云南省 ,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/184336.jpg,,,,,,,,,, +毛茄,Solanum lasiocarpum,Tsiang Ying,724,19280622,香港,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00708142.jpg,,,,,,,,,, +,Solanum lycopersicum,Y.Yabe,,,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00229904.jpg,,,,,,,,,, +,Solanum lycopersicum,"陈功锡, 张代贵, 龚双骄, 邓涛",390,20060914,湖南,432,路边荒地,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1450316.jpg,,,,,,,,,, +,Solanum lycopersicum,李庆华,397,20020107,云南省,,苗圃东南外围泡果地草地上野生湿润半阴,,有花有果,https://image.cvh.ac.cn/files/l/PE/01882752.jpg,,,,,,,,,, +白英,Solanum lyratum,李瑞锋、孟德昌、杨自猛,496,20200413,广西,~10,栽培,,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00436928.jpg,,,,,,,,,, +白英,Solanum lyratum,李永康,8010,19800921,贵州省,500,水旁山湾,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00029425.jpg,,,,,,,,,, +白英,Solanum lyratum,刘宇、张忠、蔡敏琪、刘羽霞,LXP13-4495,20130731,湖南省株洲市,,, ,,https://image.cvh.ac.cn/files/l/SYS/SYS00175768.jpg,,,,,,,,,, +茄,Solanum melongena,思茅区普查队,5308020792,20120622,云南省,1331,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0019966.jpg,,,,,,,,,, +,Solanum melongena,金佛山考察队,1824,19860724,重庆市,650,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/00708728.jpg,,,,,,,,,, +茄,Solanum melongena,陈家明,266,19650819,贵州,600,栽培,,无花有果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0074892.jpg,,,,,,,,,, +人参果,Solanum muricatum,赵云,7,19990806,山东省,,山坡,,,https://image.cvh.ac.cn/files/l/BNU/0014659.jpg,,,,,,,,,, +人参果,Solanum muricatum,T.N.Liou,3677,19310827,新疆维吾尔自治区,1000,,,有花有果,https://image.cvh.ac.cn/files/l/NKU/NK 010141.jpg,,,,,,,,,, +龙葵,Solanum nigrum,平莉莉,708036,20070709,山西,,,,有花无果,https://image.cvh.ac.cn/files/l/SXTCM/SXTCM0005350.jpg,,,,,,,,,, +龙葵,Solanum nigrum,张振万等,4574,74.09.21,新疆维吾尔自治区 ,660,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00034003.jpg,,,,,,,,,, +龙葵,Solanum nigrum,湖南省药品检验所,,19450430,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/HUFD/0005688.jpg,,,,,,,,,, +,Solanum pittosporifolium,E. Faber,252,,,1524,,,,https://image.cvh.ac.cn/files/l/NY/00172264.jpg,,,,,,,,,, +海桐叶白英,Solanum pittosporifolium,谭策铭,9611042,19961108,江西省,200,山脚灌丛林缘,小灌木,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00110082.jpg,,,,,,,,,, +海桐叶白英,Solanum pittosporifolium,蔡秀珍,李俊,舒慧娟,CXZ351,20210711,河南,125,山坡,林中,溪边,草质藤本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0223410.jpg,,,,,,,,,, +冬珊瑚,Solanum pseudocapsicum,,,,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/BJTC/BJTC035290.jpg,,,,,,,,,, +,Solanum pseudocapsicum,Shiu Ying Hu,12928,19720216,香港,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00709604.jpg,,,,,,,,,, +珊瑚樱,Solanum pseudocapsicum,融安县普查队,450224170808045LY,20170808,广西,306,路旁,黄棕壤;一般;栽培,草本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00421541.jpg,,,,,,,,,, +木龙葵,Solanum scabrum,高云东、郑臣臣、李婧超,TXD-B-0103,20181113,四川,300,路边,灌木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0248066.jpg,,,,,,,,,, +木龙葵,Solanum scabrum,苏钰岚、黄金全,450331200807002LY,20200807,广西,~457,阔叶林,林下,黄棕壤;一般,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00436351.jpg,,,,,,,,,, +木龙葵,Solanum scabrum,Y.Liu,504,19480700,湖南省,800,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/00709644.jpg,,,,,,,,,, +青杞,Solanum septemlobum,鄂神农架植考队,32571,19760819,湖北省,1500,,,无花无果,https://image.cvh.ac.cn/files/l/HIB/0019961.jpg,,,,,,,,,, +青杞,Solanum septemlobum,马淼等,B90-058,19900701,新疆维吾尔自治区,1370,荒漠草原,,无花有果,https://image.cvh.ac.cn/files/l/PE/01882297.jpg,,,,,,,,,, +青杞,Solanum septemlobum,关克俭,6060,19580723,河北省,,田边,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00029416.jpg,,,,,,,,,, +蒜芥茄,Solanum sisymbriifolium,标本室,167,19740618,云南省 ,1800,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00241972.jpg,,,,,,,,,, +蒜芥茄,Solanum sisymbriifolium,931班,,19940600,贵州省,,,,有花有果,https://image.cvh.ac.cn/files/l/GFS/GFS0018047.jpg,,,,,,,,,, +蒜芥茄,Solanum sisymbriifolium,刘淑珍,82,19820800,辽宁省,,,,有花有果,https://image.cvh.ac.cn/files/l/IFP/12713011x0003.jpg,,,,,,,,,, +旋花茄,Solanum spirale,张寿洲,16772,20051013,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00048910.jpg,,,,,,,,,, +旋花茄,Solanum spirale,张寿洲,16772,20051013,,,栽培,,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00048908.jpg,,,,,,,,,, +旋花茄,Solanum spirale,邓世纬,90956,19360919,贵州,,in open place,,无花有果,https://image.cvh.ac.cn/files/l/SN/SN004290.jpg,,,,,,,,,, +水茄,Solanum torvum,H.T.Tsai,60879,19340714,云南省 ,1300,,,有花有果,https://image.cvh.ac.cn/files/l/LBG/00095953.jpg,,,,,,,,,, +多裂水茄,Solanum torvum,H.Migo,s.n.,19370328,福建省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00031392.jpg,,,,,,,,,, +水茄,Solanum torvum,秦新生等,s.n.,20071022,,,,,无花有果,https://image.cvh.ac.cn/files/l/HUST/00024849.jpg,,,,,,,,,, +马铃薯,Solanum tuberosum,,24385,19580626,湖北,1400,,草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM717402250.jpg,,,,,,,,,, +马铃薯,Solanum tuberosum,张振万,3875,1974/7/31,新疆维吾尔族自治区,1800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0298799.jpg,,,,,,,,,, +马铃薯,Solanum tuberosum, 吴金清,1993,19960520,湖北省,180,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0148877.jpg,,,,,,,,,, +毛果茄,Solanum viarum,"黄治平,蒋卓然,罗正远",2643,1930/9/7,四川省,,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0316220.jpg,,,,,,,,,, +毛果茄,Solanum viarum,张志松,710,1957/7/1,湖北省,,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0234049.jpg,,,,,,,,,, +毛果茄,Solanum viarum,徐闻队,442,19540429,广东省,,,上升草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00230141.jpg,,,,,,,,,, +,Solanum villosum,,B.1363,,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00066513.jpg,,,,,,,,,, +红果龙葵,Solanum villosum,王启无,66363,19350900,西藏自治区,3000,River side,,有花有果,https://image.cvh.ac.cn/files/l/PE/00709390.jpg,,,,,,,,,, +红果龙葵,Solanum villosum,黄土高原采集队,1313,1983/9/28,河南省,650,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0443124.jpg,,,,,,,,,, +刺天茄,Solanum violaceum,,1346,1957/6/1,海南省,,,灌木,有花无果,https://image.cvh.ac.cn/files/l/WUK/0254569.jpg,,,,,,,,,, +刺天茄,Solanum violaceum,蔡杰,杨雪飞,杨珺,Tial Cung Ling,15CS10782,20151224,掸邦,879m,Open area near the market.,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1489520.jpg,,,,,,,,,, +刺天茄,Solanum violaceum,"潘,岳",7506,19751002,江苏省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00708176.jpg,,,,,,,,,, +,Solms-laubachia baiogoinensis,郎楷永,9469,19760620,西藏自治区,5000~5200,山坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01005884.jpg,,,,,,,,,, +,Solms-laubachia calcicola,,,,,,,,,,,,,,,,,,, +,Solms-laubachia himalayensis,"李渤生,郑度",10980,19870812,西藏自治区,5550,高山冰砾石中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01005886.jpg,,,,,,,,,, +,Solms-laubachia jafrii,吴征镒等,75-858,19750717,西藏自治区,4530,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01161724.jpg,,,,,,,,,, +,Solms-laubachia linearis,李渤生,11278,19870825,新疆维吾尔自治区,5550,砾石内,,无花有果,https://image.cvh.ac.cn/files/l/PE/01005888.jpg,,,,,,,,,, +,Solms-laubachia linearis,青藏队,76-7948,19760706,西藏自治区,5200,山坡,乳石缝中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01005139.jpg,,,,,,,,,, +,Solms-laubachia marinellii,,,,,,,,,,,,,,,,,,, +,Solms-laubachia mieheorum,,,,,,,,,,,,,,,,,,, +藏芥,Solms-laubachia parryoides,李晓东,刘帆,张景博,徐凌翔,LiJ0017,20080831,甘肃,3892,高山草甸,,无花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0208068.jpg,,,,,,,,,, +总状丛菔,Solms-laubachia platycarpa,吴征缢、陈书坤、杜庆、庐树林,1129,19750720,西藏自治区,5020,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/54132.jpg,,,,,,,,,, +,Solms-laubachia prolifera,青藏队,73-1253,19730825,西藏自治区,5100,山坡,流石滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/01005890.jpg,,,,,,,,,, +,Solms-laubachia prolifera,T.N.Ho (HNWP) et al.,1684,19960812,青海省,4700,Growing in loose fine scree,,无花有果,https://image.cvh.ac.cn/files/l/PE/01005148.jpg,,,,,,,,,, +,Solms-laubachia stewartii,青藏队,76-8652,19760815,西藏自治区,5300,高山,流石滩,,无花有果,https://image.cvh.ac.cn/files/l/PE/01005891.jpg,,,,,,,,,, +,Solms-laubachia villosa,周立华,126,19660624,青海省,4500,高山草甸 流石滩下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998192.jpg,,,,,,,,,, +,Solms-laubachia villosa,J.F.Rock,14088,19260605,西藏自治区,4333~4500,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01005151.jpg,,,,,,,,,, +草甸小苦苣菜,Sonchella dentata,高庆波、邢睿、贾留坤,Gao2018066,20180707,青海,2724,柽柳-白刺-黑果枸杞-宁夏枸杞灌丛,薹草草原,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026347.jpg,,,,,,,,,, +,Sonchella dentata,青甘队,542,19590703,青海省,2720,湖边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02234548.jpg,,,,,,,,,, +全叶苦苣菜,Sonchus transcaspicus,刘坤,LiuJQ-GN-486,20110808,甘肃省,0~2963,退化草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0283138.jpg,,,,,,,,,, +全叶苦苣菜,Sonchus transcaspicus,周太炎等,651381,19650810,新疆维吾尔自治区,1900,草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/739409.jpg,,,,,,,,,, +全叶苦苣菜,Sonchus transcaspicus,张永田等,2176,19650828,西藏自治区,3600,路旁草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/739414.jpg,,,,,,,,,, +短冠草,Sopubia trifida,李朝斗,315,19600926,贵州,,,,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0075496.jpg,,,,,,,,,, +短冠草,Sopubia trifida,周太炎,651142,19650721,新疆维吾尔自治区 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0576082.jpg,,,,,,,,,, +短冠草,Sopubia trifida,钟观光,0,19190906,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0057929.jpg,,,,,,,,,, +皱叶绢毛菊,Soroseris trichocarpa,"T.N.Ho、B.Bartholomew、M.Watson,等",1787,19960814,青海省,3850,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/00001183.jpg,,,,,,,,,, +,Soroseris trichocarpa,郭本兆 王为义,22641,19770816,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00006470.jpg,,,,,,,,,, +,Soroseris trichocarpa,刘振书,1193,19340000,四川省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00519906.jpg,,,,,,,,,, +阔叶丰花草,Spermacoce alata,韦春强,YL43,20140924,广西壮族自治区,78,荒地,多,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00375519.jpg,,,,,,,,,, +阔叶丰花草,Spermacoce alata,曾宪锋,ZXF18636,20151221,海南省,,平地,一年生草本,披散,有花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0011266.jpg,,,,,,,,,, +阔叶丰花草,Spermacoce alata,曾宪锋,ZXF52644,20191002,福建,416,山地路边,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/CZH/CZH0047733.jpg,,,,,,,,,, +,Spermacoce exilis,B.Bartholomew etc.,8724,20010906,,675,Disturbed broadleaved evergreen forest with tall bamboo. In low thicket at edge of forest.,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1255600.jpg,,,,,,,,,, +二萼丰花草,Spermacoce exilis,吴磊,6640,20180717,海南,500,山坡疏林,直立草本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI068374.jpg,,,,,,,,,, +,Spermacoce ocymoides,,,,,,,,,,,,,,,,,,, +,Spermacoce pusilla,T.Y.A.Yang & Y.S.Chung,11384,19981007,台湾省,70,Open place roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589996.jpg,,,,,,,,,, +丰花草,Spermacoce pusilla,"刘恩德,邹娇,王存花,郭建伟,李冰玉,孙增鹏",LED9827,20200717,云南,665,草地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1512273.jpg,,,,,,,,,, +丰花草,Spermacoce pusilla,吉首大学生物资源与环境科学学院,GWJ20170610_0256,20170610,湖南,402,草地和草坡,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU39641.jpg,,,,,,,,,, +香叶木,Spermadictyon suaveolens,"高信芬, 张良, 李蒙, 张桥蓉, 亚吉东, 崔光帅",QTP-1108-T05-000183,20171130,,831,Evergreen forest,灌木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1484455.jpg,,,,,,,,,, +,Sphaerosacme decandra,,,,,,,,,,,,,,,,,,, +山白藤,Sphenodesme pentandra var. wallichiana,,9837,19130000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0503082.jpg,,,,,,,,,, +山白藤,Sphenodesme pentandra var. wallichiana,刘心祈,25695,19360315,海南省,0,,藤本灌木,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0503066.jpg,,,,,,,,,, +山白藤,Sphenodesme pentandra var. wallichiana,刘心祈,25695,19360315,海南岛,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00058385.jpg,,,,,,,,,, +,Sphinctacanthus griffithii,,,,,,,,,,,,,,,,,,, +,Spinacia oleracea,钱家驹等 ,983,19570813,吉林省,900,旱田中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00528611.jpg,,,,,,,,,, +菠菜,Spinacia oleracea,C.Y.Chiao,,192609,南京,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0010263.jpg,,,,,,,,,, +菠菜,Spinacia oleracea,H.Migo,,19330429,上海市,0,,,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00107038.jpg,,,,,,,,,, +,Spiradiclis arunachalensis,,,,,,,,,,,,,,,,,,, +大叶螺序草,Spiradiclis bifida,吴磊、谭运洪,4256,20140119,云南省,,,,,https://image.cvh.ac.cn/files/l/BNU/0018303.jpg,,,,,,,,,, +,Spiradiclis bifida,"覃海宁,朱华,张明理,高天刚",232,19981027,,400,山地山谷密林,草本,,https://image.cvh.ac.cn/files/l/HITBC/0003323.jpg,,,,,,,,,, +大叶螺序草,Spiradiclis bifida,王启无,79499,19361000,云南省 ,800,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0510601.jpg,,,,,,,,,, +尖叶螺序草,Spiradiclis caespitosa,青藏队,1674,19740806,西藏自治区,1800~800,常绿阔叶林中,,有果无花,https://image.cvh.ac.cn/files/l/KUN/329648.jpg,,,,,,,,,, +螺序草,Spiradiclis caespitosa,,247288,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0510618.jpg,,,,,,,,,, +螺序草,Spiradiclis caespitosa,王启无,78822,19360900,云南省 ,850,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0510616.jpg,,,,,,,,,, +,Spiradiclis cylindrica,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 杨云珊, 杨永平",16CS14391,20161111,西藏,1387,路边灌丛中,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1451589.jpg,,,,,,,,,, +柱花螺序草,Spiradiclis cylindrica,陶国达,41515,19900303,云南省,1200,沟谷,草本,,https://image.cvh.ac.cn/files/l/HITBC/0003363.jpg,,,,,,,,,, +尖叶螺序草,Spiradiclis cylindrica,刘景欣,316,20081110,云南,810,森中河旁,草本,无花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0029441.jpg,,,,,,,,,, +西南水苏,Stachys kouyangensis,张志英,6577,19590714,甘肃省,1200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/15790.jpg,,,,,,,,,, +破布草,Stachys kouyangensis,,,0,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/079380.jpg,,,,,,,,,, +,Stachys kouyangensis,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-142-B25,,西藏,3459,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262713.jpg,,,,,,,,,, +西南水苏-粗齿变种,Stachys kouyangensis var. franchetiana,谢登峰、蔡竞、秦换换,QH-023-B-018,20200930,四川,3365.33m,灌丛和草坡,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02061219.jpg,,,,,,,,,, +破布草,Stachys kouyangensis var. franchetiana,李寿昌,244,19810801,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/079382.jpg,,,,,,,,,, +粗齿,Stachys kouyangensis var. franchetiana,青海铁卜加草原改良站,72047,19720824,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00904788.jpg,,,,,,,,,, +多枝水苏,Stachys melissifolia,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201333,20200728,西藏,2212,草地中,多年生草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1507699.jpg,,,,,,,,,, +甘露子,Stachys sieboldii,王丽华、孙勋,BNU2021SX048,20210830,山西,1462,,,无花无果,https://image.cvh.ac.cn/files/l/BNU/0053644.jpg,,,,,,,,,, +甘露子,Stachys sieboldii,侯元同,郭成勇,管博,张孝帅,20170608045-6,20170609,山东省,0.52,路边荒滩,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0034704.jpg,,,,,,,,,, +,Stachys sieboldii,D.E.Boufford et al.,32175,20040812,西藏自治区,3830~3900,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01579835.jpg,,,,,,,,,, +假马鞭草,Stachytarpheta jamaicensis,李胜,张顺杰,YNAU-001,20170506,云南,,草地,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/00112041.jpg,,,,,,,,,, +假马鞭,Stachytarpheta jamaicensis,,s.n,,河北省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0497268.jpg,,,,,,,,,, +假马鞭,Stachytarpheta jamaicensis,徐亮,813018,20060813,广东省,20,湖泊边,草本,无花无果,https://image.cvh.ac.cn/files/l/JIU/JIU17006.jpg,,,,,,,,,, +十字苣苔,Stauranthera umbrosa,"Tsang, Wai Tak",481,19270818,海南省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/150262159.jpg,,,,,,,,,, +十字苣苔,Stauranthera umbrosa,中越考察队,1800,19640126,西山,0,谷沟林下溪边石上,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0208994.jpg,,,,,,,,,, +十字苣苔,Stauranthera umbrosa,中越考察队,712,19641222,,,石灰岩林下,近溪边,草本肉质,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00243520.jpg,,,,,,,,,, +,Staurogyne arunachalensis,,,,,,,,,,,,,,,,,,, +,Staurogyne humilis,,,,,,,,,,,,,,,,,,, +,Staurogyne spatulata,,,,,,,,,,,,,,,,,,, +贺兰山繁缕,Stellaria alaschanica,青甘队,2856,19600704,青海省,2950,"林下,林间空地",,有花无果,https://image.cvh.ac.cn/files/l/PE/00581827.jpg,,,,,,,,,, +贺兰山繁缕,Stellaria alaschanica,"朱鑫鑫,安宇梦",ZXX18150,20180620,青海,3138,高原亚寒带高山草地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1438499.jpg,,,,,,,,,, +贺兰山繁缕,Stellaria alaschanica,C.S.Fan,1007,19320322,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/087047754.jpg,,,,,,,,,, +雀舌草,Stellaria alsine,钱重海,2053,1957/4/30,湖北省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0309778.jpg,,,,,,,,,, +雀舌草,Stellaria alsine,M. K. Li,3006,1939/1/19,云南省,2200,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0246456.jpg,,,,,,,,,, +,Stellaria alsine,"K. Yamaoka, A. Sakamoto, H. Fukuhara et al.",FOK-062216,20031019,高知县,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0115752.jpg,,,,,,,,,, +牛繁缕,Stellaria aquatica,刘全儒,979107,19970900,广东,100,路边阴湿处,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0045120.jpg,,,,,,,,,, +牛繁缕,Stellaria aquatica,张娆挺,3256,19920123,福建,,村边路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU069235.jpg,,,,,,,,,, +鹅繁缕,Stellaria aquatica,关克俭 陈艺林,236,19590517,山西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/112242.jpg,,,,,,,,,, +短瓣繁缕,Stellaria brachypetala,塔里木大学植物资源调查组,Li2J0557,20080729,新疆,2531米,高山草甸,草本,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU00292.jpg,,,,,,,,,, +短瓣繁缕,Stellaria brachypetala,陈实,2169,1964/06/,青海省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0482688.jpg,,,,,,,,,, +短瓣繁缕,Stellaria brachypetala,C.S.Liu,1348,19340826,四川省,4120,路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00581877.jpg,,,,,,,,,, +密花繁缕,Stellaria congestiflora,M.Mikage etc.,9485496,19940819,,4600,open dried place alpine rocky place,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1264671.jpg,,,,,,,,,, +线形叶苞繁缕,Stellaria crassifolia var. linearis,K.T.Fu,1582,19370828,甘肃省,3600,on weedy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/00612060.jpg,,,,,,,,,, +线形叶苞繁缕,Stellaria crassifolia var. linearis,王启无,64547,19350700,云南省,3500,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00612062.jpg,,,,,,,,,, +线形叶苞繁缕,Stellaria crassifolia var. linearis,刘书润,652,19790628,内蒙古自治区,0,河边沼泽草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0514965.jpg,,,,,,,,,, +垫状偃卧繁缕,Stellaria decumbens,"朱鑫鑫,安宇梦",ZXX18121,20180617,青海,3786,高原亚寒带高山草地,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1439068.jpg,,,,,,,,,, +,Stellaria decumbens,彭玉兰,涂卫国,幸福,GaoXF-0165,20080716,四川,4111,高山灌木丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1240016.jpg,,,,,,,,,, +,Stellaria decumbens,郭柯,k-51,19900624,青海省,5100,高山流石滩,,有花有果,https://image.cvh.ac.cn/files/l/PE/02046491.jpg,,,,,,,,,, +雪灵芝状繁缕,Stellaria decumbens var. arenarioides,PE西藏队,PE6085,20170906,西藏自治区,2935,山谷林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02309314.jpg,,,,,,,,,, +错那繁缕,Stellaria decumbens var. arenarioides,李良千,费勇,335,19820630,四川省,2600,河边石滩沙地,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0530027.jpg,,,,,,,,,, +错那繁缕,Stellaria decumbens var. arenarioides,武素功,成晓等,1489,19840829,云南省,2900~3100,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0530019.jpg,,,,,,,,,, +多花偃卧繁缕,Stellaria decumbens var. polyantha,吴征镒等,75-899,19750717,西藏自治区,4680,石坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00612149.jpg,,,,,,,,,, +多花偃卧繁缕,Stellaria decumbens var. polyantha,北京所横断山队,3225,19810818,云南省,4250~4300,高山灌丛草甸偏见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01377522.jpg,,,,,,,,,, +多花偃卧繁缕,Stellaria decumbens var. polyantha,H.Ohba T.Kikuchi etc,8570779,19850724,,4150~4260,on sandy bank in river,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0531765.jpg,,,,,,,,,, +垫状偃卧繁缕,Stellaria decumbens var. pulvinata,"吴征镒,杜庆等",75-0259,19750613,青海省,4990,冰水溪边,,无花无果,https://image.cvh.ac.cn/files/l/PE/00612152.jpg,,,,,,,,,, +垫状偃卧繁缕,Stellaria decumbens var. pulvinata,河西队,401,19670818,甘肃省,3800~4000,干石山坡,,无花无果,https://image.cvh.ac.cn/files/l/PE/00612150.jpg,,,,,,,,,, +垫状偃卧繁缕,Stellaria decumbens var. pulvinata,朱鑫鑫,王君,王美华,林庶,许敏,ZXX20783,20200628,西藏,4638,高山灌丛草地,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1507768.jpg,,,,,,,,,, +,Stellaria depressa,,,,,,,,,,,,,,,,,,, +禾叶繁缕,Stellaria graminea,Y.Yabe,,19080713,河北省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00310792.jpg,,,,,,,,,, +,Stellaria graminea,毛树珍,114,19590709,甘肃,,石质干山坡,山汫,,有花无果,https://image.cvh.ac.cn/files/l/LZD/LZD0005646.jpg,,,,,,,,,, +禾叶繁缕,Stellaria graminea,谢登峰、成瑞渝,2031985,20190926,四川,3110,,,有花有果,https://image.cvh.ac.cn/files/l/SZ/02031985.jpg,,,,,,,,,, +中华禾叶繁缕,Stellaria graminea var. chinensis,"张永田,郞楷永",225,19650706,西藏自治区,3200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/00612417.jpg,,,,,,,,,, +中华禾叶繁缕,Stellaria graminea var. chinensis,"姜恕,金存礼",1319,19590625,四川省,3730,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00612415.jpg,,,,,,,,,, +中华禾叶繁缕,Stellaria graminea var. chinensis,杨永昌,1162,19650715,青海省,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0211503.jpg,,,,,,,,,, +毛禾叶繁缕,Stellaria graminea var. pilosula,李渤生,5580,19830719,西藏自治区,3600,Abies林缘草甸时见,,有花有果,https://image.cvh.ac.cn/files/l/PE/01268429.jpg,,,,,,,,,, +毛禾叶繁缕,Stellaria graminea var. pilosula,青藏队植被组,4383,19750628,,3050,Aboes林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00047938.jpg,,,,,,,,,, +毛禾叶繁缕,Stellaria graminea var. pilosula,崔友文,5006,19510724,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00612419.jpg,,,,,,,,,, +江孜繁缕,Stellaria gyangtseensis,钟补求,5618,19530521,西藏自治区,,"干燥石岩上,隙缝较湿处",,有花无果,https://image.cvh.ac.cn/files/l/PE/00612437.jpg,,,,,,,,,, +内弯繁缕,Stellaria infracta,毛品一,795,1952/5/16,云南省,2680,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0245072.jpg,,,,,,,,,, +内曲繁缕,Stellaria infracta,黄河调查队,129,19540928,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00612481.jpg,,,,,,,,,, +内弯繁缕,Stellaria infracta,路端正,,19840809,河北,2600,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00039173.jpg,,,,,,,,,, +绵毛繁缕,Stellaria lanata,崔友文,4138,19510629,四川省,2800,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00612509.jpg,,,,,,,,,, +,Stellaria lanata,罗建,汪书丽,LiuJQ-09XZ-141,20090614,西藏,2905,林缘灌丛,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1240026.jpg,,,,,,,,,, +绵毛繁缕,Stellaria lanata,PE西藏考察队,7475,20180617,西藏自治区,2808,林缘,,有花无果,https://image.cvh.ac.cn/files/l/PE/02332739.jpg,,,,,,,,,, +繁缕,Stellaria media,"H.Li,S.X.Yang,R.Li etc.",1189,20021112,云南省,2530,林下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109037.jpg,,,,,,,,,, +繁缕,Stellaria media,林有润,74-1174,19740906,新疆维吾尔自治区,1150,沟边,,有花无果,https://image.cvh.ac.cn/files/l/PE/00612593.jpg,,,,,,,,,, +繁缕,Stellaria media,杜桂娟,WFD-P002-45,,辽宁,77.9,半阳坡,坡中部,,无花无果,https://image.cvh.ac.cn/files/l/SYAU/SYAUF012522.jpg,,,,,,,,,, +,Stellaria motuoensis,,,,,,,,,,,,,,,,,,, +鸡肠繁缕,Stellaria neglecta,邢吉庆,1225,19590507,陕西省,1130,,草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00310840.jpg,,,,,,,,,, +鸡肠繁缕,Stellaria neglecta,刘正宇,2080017-01,20080310,重庆市,800,山地旱田中,草本,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0043151.jpg,,,,,,,,,, +,Stellaria neglecta,自正尧,李伟,XPALSB213,20090420,云南,730,田边,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1240058.jpg,,,,,,,,,, +尼泊尔繁缕,Stellaria nepalensis,李渤生,4342,19830427,西藏自治区,1900,林内草地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01268431.jpg,,,,,,,,,, +尼泊尔繁缕,Stellaria nepalensis,Koji Yonekura,7674,20010516,,2620,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01523825.jpg,,,,,,,,,, +尼泊尔繁缕,Stellaria nepalensis,周雯,卢蓓,江晓亮,邓丹丽,何刚,欧阳建,6月20日,20180822,西藏,2910.3,山谷,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0193968.jpg,,,,,,,,,, +峨眉繁缕,Stellaria omeiensis,F.T.Wang,20662,19300430,四川省,1530,open mt.summit,,有花有果,https://image.cvh.ac.cn/files/l/PE/00612848.jpg,,,,,,,,,, +峨眉繁缕,Stellaria omeiensis,雷开东,ZB140531745,20140531,湖南湘西州,,灌丛,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU25745.jpg,,,,,,,,,, +峨眉繁缕,Stellaria omeiensis,张代贵,zdg00043,20150629,湖南湘西,,生于草丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU60257.jpg,,,,,,,,,, +,Stellaria ovatifolia,罗建,汪书丽,LiuJQ-11XZ-205,20110921,西藏,2499,针阔林林缘坡地,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1240062.jpg,,,,,,,,,, +卵叶繁缕,Stellaria ovatifolia,j.e.palmer,20124,18980500,,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/087047847.jpg,,,,,,,,,, +卵叶繁缕,Stellaria ovatifolia,罗建、汪书丽,LIUJQ205,20110921,西藏自治区,0~2499,亚热带针阔林林缘坡地,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280787.jpg,,,,,,,,,, +,Stellaria pallida,李振宇,11772,20090425,重庆市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868196.jpg,,,,,,,,,, +,Stellaria pallida,甘启良,3310,20090503,湖北省,440,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02059829.jpg,,,,,,,,,, +无瓣繁缕,Stellaria pallida,汪韬,905,20210315,广东,,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/AU/AU091088.jpg,,,,,,,,,, +沼生繁缕,Stellaria palustris,,P019,,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00612868.jpg,,,,,,,,,, +沼生繁缕,Stellaria palustris,王作宾,13291,19420727,宁夏回族自治区,1950,山谷,,有花无果,https://image.cvh.ac.cn/files/l/PE/00612897.jpg,,,,,,,,,, +沼生繁缕,Stellaria palustris,谢登峰、张相宜,2028697,20190920,四川,4704,,,有花有果,https://image.cvh.ac.cn/files/l/SZ/02028697.jpg,,,,,,,,,, +白毛繁缕,Stellaria patens,"李渤生,程树志",2206,19821215,西藏自治区,1800~2100,松林内石上时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468223.jpg,,,,,,,,,, +,Stellaria patens,涨潮,,20060630,西藏,,,,,https://image.cvh.ac.cn/files/l/BNU/0016566.jpg,,,,,,,,,, +网脉繁缕,Stellaria reticulivena,贺贤育,22845,19570512,浙江省,600,溪边草丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00613035.jpg,,,,,,,,,, +网脉繁缕,Stellaria reticulivena,葛斌杰、王正伟、李宇翔,GBJ01994,20120523,浙江,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0024327.jpg,,,,,,,,,, +网脉繁缕,Stellaria reticulivena,Pi-Fong Lu,20062,20100411,台湾省,1700,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01873799.jpg,,,,,,,,,, +短瓣绵毛繁缕,Stellaria semivestita,"程树志,李渤生",7036,19830823,西藏自治区,3750,灌丛草甸,,无花有果,https://image.cvh.ac.cn/files/l/PE/01468222.jpg,,,,,,,,,, +,Stellaria sikkimensis,,763,19750722,云南省,3500,草甸,,无花无果,https://image.cvh.ac.cn/files/l/PE/00613072.jpg,,,,,,,,,, +,Stellaria sikkimensis,青藏队植被组,12789,19760707,西藏自治区,5120,高山山坡草原化草原,,有花无果,https://image.cvh.ac.cn/files/l/PE/00047964.jpg,,,,,,,,,, +,Stellaria sikkimensis,,8291,19760608,,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00047971.jpg,,,,,,,,,, +,Stellaria subumbellata,,2202,19290708,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00006694.jpg,,,,,,,,,, +亚伞花繁缕,Stellaria subumbellata,王启无,70154,19350900,云南省,2700,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/00613120.jpg,,,,,,,,,, +亚伞花繁缕,Stellaria subumbellata,青藏队,73-1144,19730813,西藏自治区,4300,山谷冰川冲积地岩石隙,,有花有果,https://image.cvh.ac.cn/files/l/PE/01187890.jpg,,,,,,,,,, +伞花繁缕,Stellaria umbellata,陶德定,10764,19760803,西藏自治区,4700,嵩草草甸河滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00613310.jpg,,,,,,,,,, +伞花繁缕,Stellaria umbellata,T. N. Liou(刘慎谔),P. C. Tsoong(钟,2956,1938/8/3,陕西省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0021639.jpg,,,,,,,,,, +伞花繁缕,Stellaria umbellata,Hoo et Wang,12619,1941/8/15,甘肃省,3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0079931.jpg,,,,,,,,,, +箐姑草,Stellaria vestita,"H.Li,S.X.Yang,R.Li etc.",1070,20021110,云南省,2570,林(中)下,,有花有果,https://image.cvh.ac.cn/files/l/PE/02109112.jpg,,,,,,,,,, +箐姑草,Stellaria vestita,王锡珍,111,1935/5/19,北京市,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0021553.jpg,,,,,,,,,, +箐姑草,Stellaria vestita,赖书坤,3345,19630831,江西省,900,"山地,山坡,阴处,灌木丛中",,有花无果,https://image.cvh.ac.cn/files/l/PE/00613528.jpg,,,,,,,,,, +,Stellaria wallichiana,,,,,,,,,,,,,,,,,,, +狼毒,Stellera chamaejasme,高芳华,210,19930709,甘肃省,2400~2600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879768.jpg,,,,,,,,,, +狼毒,Stellera chamaejasme,叶居新,22,19600602,吉林省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01059062.jpg,,,,,,,,,, +,Stellera chamaejasme,吴玉虎,刘建全,LJQ-QLS-2008-0045,20080723,青海,3240,阴坡灌丛,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1247498.jpg,,,,,,,,,, +,Sterculia balanghas,,,,,,,,,,,,,,,,,,, +粉苹婆,Sterculia euosma,"张志松,张永田",2222,19600428,贵州省,800,山坡密林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01304962.jpg,,,,,,,,,, +粉苹婆,Sterculia euosma,Anonymous,40,19660325,广西壮族自治区,300,砂岩山地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01999849.jpg,,,,,,,,,, +粉苹婆,Sterculia euosma,C.W.Wang,89176,19400505,云南省 ,900,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0264256.jpg,,,,,,,,,, +,Sterculia guttata,C.E.Ridsdale,500,19800307,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0264274.jpg,,,,,,,,,, +藏苹婆,Sterculia hamiltonii,孙航,周浙昆,俞宏渊,1657,19921125,西藏自治区,650,in forest,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0472862.jpg,,,,,,,,,, +苹婆属,Sterculia hamiltonii,倪志诚,161,19830501,西藏,1000,河谷常绿阔叶林中,,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0004603.jpg,,,,,,,,,, +,Sterculia kingii,,,,,,,,,,,,,,,,,,, +西蜀苹婆,Sterculia lanceifolia,张顺成,9711050,19971202,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/100471.jpg,,,,,,,,,, +西蜀苹婆,Sterculia lanceifolia,陈少卿,13542,19580810,广西壮族自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/012915.jpg,,,,,,,,,, +,Sterculia lanceifolia,"郭永杰, 王雨华, 杨立新, 李姗",18CS16910,20180511,西藏,1146,村边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484943.jpg,,,,,,,,,, +假苹婆,Sterculia lanceolata,无,192,19780624,江西,,中山,山坡,疏林中,,有花有果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0005056.jpg,,,,,,,,,, +假苹婆,Sterculia lanceolata,"覃海宁,王印政,闫丽春等",1275,19980428,广西壮族自治区,800,山地 山坡 密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/02000310.jpg,,,,,,,,,, +假苹婆,Sterculia lanceolata,叶华谷等,8140,20030409,澳门,100,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0264644.jpg,,,,,,,,,, +,Sterculia parviflora,,321,19280000,,0,,,有花有果,https://image.cvh.ac.cn/files/l/IBSC/0264728.jpg,,,,,,,,,, +,Sterculia urens,C.Manoharan,19548,19781129,,400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01305196.jpg,,,,,,,,,, +绒毛苹婆,Sterculia villosa,W.Nanakorn etc.,462,19940228,,600,in deciduous forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1225479.jpg,,,,,,,,,, +绒毛苹婆,Sterculia villosa,中苏队,9505,19570424,云南省,700,山谷阳处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02078981.jpg,,,,,,,,,, +绒毛苹婆,Sterculia villosa,蒋英,12718,19331127,云南省 ,1220,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0264766.jpg,,,,,,,,,, +羽叶楸,Stereospermum colais,贵州队,8091,1960/8/11,贵州省,,,草本,无花有果,https://image.cvh.ac.cn/files/l/WUK/0226455.jpg,,,,,,,,,, +羽叶楸,Stereospermum colais,C.W.Wang,88605,1940/4/17,,500,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0268199.jpg,,,,,,,,,, +羽叶楸,Stereospermum colais,"刘恩德|182,吕翠竹|4426,王存花|11,张维平|928",LED9599,20200622,云南,616,河边灌丛,乔木,有花有果,https://image.cvh.ac.cn/files/l/KUN/1511025.jpg,,,,,,,,,, +,Stevenia canescens,青藏队,1333,19870904,西藏自治区,4500,干砾石山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01351047.jpg,,,,,,,,,, +,Stevenia canescens,乌兰浩特采集队,9062409,20090624,内蒙古自治区,1500,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/01995954.jpg,,,,,,,,,, +翅柄紫茎,Stewartia pteropetiolata,"刘恩德,上官法智,左大磊",4690,20160430,云南省,2318,forest margin,,,https://image.cvh.ac.cn/files/l/KUN/1288293.jpg,,,,,,,,,, +折柄茶,Stewartia pteropetiolata,曾宪锋,ZXF39691,20181002,福建,705,山谷林下,灌木,无花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0034969.jpg,,,,,,,,,, +翅柄紫茎,Stewartia pteropetiolata,李楠、林平义、罗斌,LN-2009-066,20090814,湖南省,1243,山谷、路旁,乔木,无花有果,https://image.cvh.ac.cn/files/l/SZG/SZG00001460.jpg,,,,,,,,,, +紫茎,Stewartia sinensis,方英才、王小平,29,19810513,湖南,,山地,乔木,有花无果,https://image.cvh.ac.cn/files/l/NYA/NYA0000877.jpg,,,,,,,,,, +紫茎,Stewartia sinensis,于胜祥,张晓霞,赖阳均,黄云峰,448,20101007,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0095323.jpg,,,,,,,,,, +紫茎,Stewartia sinensis,朱鑫鑫,王君,王美华,ZXX20248,20200521,安徽,638,峡谷溪边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505212.jpg,,,,,,,,,, +巨苋藤,Stilbanthus scandens,陶国达,15806,19750503,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/097340.jpg,,,,,,,,,, +巨苋藤,Stilbanthus scandens,曾玲 周丽双 谢志明,1124,19910418,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI007519.jpg,,,,,,,,,, +,Stilpnolepis intricata,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1237-3062,20190805,宁夏,1657,荒漠草原,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1476941.jpg,,,,,,,,,, +,Stilpnolepis intricata,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1337-3030,20190805,甘肃,1801,荒漠草原,草本,有花有果,https://image.cvh.ac.cn/files/l/KUN/1476751.jpg,,,,,,,,,, +,Stilpnolepis intricata,,1935,19640917,甘肃省,,沙丘冲沟内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01776635.jpg,,,,,,,,,, +斑果藤,Stixis suaveolens,李庆华,737,20020426,云南省,,沟谷林外公路边向阳干燥,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231617.jpg,,,,,,,,,, +斑果藤,Stixis suaveolens,邱炳云,56075,,云南省 ,0,,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0494993.jpg,,,,,,,,,, +斑果藤,Stixis suaveolens,"L.Q.Li,N.T.Hiep,Z.Y.Zhang etc.",260,20041023,,200,secondary forest,,有花有果,https://image.cvh.ac.cn/files/l/PE/02231616.jpg,,,,,,,,,, +独脚金,Striga asiatica,陈少卿,1850,19420710,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00053643.jpg,,,,,,,,,, +独脚金,Striga asiatica,薛万鹏,819,19330000,江苏省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00237942.jpg,,,,,,,,,, +独脚金,Striga asiatica,S. Saito,7062,19280426,台湾省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00024740.jpg,,,,,,,,,, +,Strigosella africana,泛喜马拉雅植物志巴基斯坦采集队,FPH-1340,20120908,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02004688.jpg,,,,,,,,,, +,Strigosella africana,刘尚武,3080,19890724,青海省,2800,河滩 灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01998054.jpg,,,,,,,,,, +,Strigosella africana,胡叔良等,187,19560811,甘肃省,3100,山谷 阴处,,无花有果,https://image.cvh.ac.cn/files/l/PE/01995715.jpg,,,,,,,,,, +顶头马蓝,Strobilanthes affinis,孙庆文,,20030812,贵州,,,,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0076485.jpg,,,,,,,,,, +肖笼鸡,Strobilanthes affinis,白顺星、胡建湘,272,20180903,云南,,,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030552.jpg,,,,,,,,,, +肖笼鸡,Strobilanthes affinis,吴磊,杜成和莫水松,4018,20131023,广西壮族自治区,240,石灰岩山坡密林,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0033323.jpg,,,,,,,,,, +,Strobilanthes atropurpurea,"熊济华,周子林",93254,19570903,重庆市,1100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620612.jpg,,,,,,,,,, +翅柄马蓝,Strobilanthes atropurpurea,王先莲,2249,20030827,贵州省,780,林下,草本,,https://image.cvh.ac.cn/files/l/HITBC/0025895.jpg,,,,,,,,,, +翅柄马蓝,Strobilanthes atropurpurea,邹春玉、李健玲、刘文剑、宋晓飞、赵佳越、陆秋艳,GPS180729010,20180729,广西,~,山地,路旁,黄壤;普遍,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00434305.jpg,,,,,,,,,, +,Strobilanthes attenuata,,,,,,,,,,,,,,,,,,, +红背马蓝,Strobilanthes auriculata,杨再源,522628141118359LY,20141118,贵州省,320.6,草丛、中生、阳性、沙土、中温,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0051173.jpg,,,,,,,,,, +耳叶马蓝,Strobilanthes auriculata,,851,192302,,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00051608.jpg,,,,,,,,,, +,Strobilanthes auriculata,,12553,19380922,湖南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0056942.jpg,,,,,,,,,, +头花马蓝,Strobilanthes capitata,"P.Srisang W.Nana.,P.Suk. & P.Panya.",3121,20071202,,1000,森林的边缘,草本,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0025911.jpg,,,,,,,,,, +头花马蓝,Strobilanthes capitata,王洪,8348,20051123,云南省,1750,次生林中,草本,,https://image.cvh.ac.cn/files/l/HITBC/0025910.jpg,,,,,,,,,, +四苞马蓝,Strobilanthes cruciata,"P.Srisanga,C.Maknoi,P.Pany. & P.Tatiya",2762,20001113,,1650,常绿阔叶林中,灌木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/0025913.jpg,,,,,,,,,, +墨脱四苞蓝,Strobilanthes cruciata,梁向日,61705,19390420,海南,,"in mix wood,dense shade",subshrub or scandent,有花无果,https://image.cvh.ac.cn/files/l/SN/SN004218.jpg,,,,,,,,,, +,Strobilanthes cruciata,保护区考察队,34906,19831202,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/097005.jpg,,,,,,,,,, +,Strobilanthes cuneata,,,,,,,,,,,,,,,,,,, + 板蓝,Strobilanthes cusia,张俪斌,邱祖川,ZLB69,20190915,云南,1451,栽培,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1516296.jpg,,,,,,,,,, +板蓝,Strobilanthes cusia,徐波,鞠文彬,张君议,范雪梅,TXD-A-086,20181110,四川,339,溪边林下石壁,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0248857.jpg,,,,,,,,,, +马蓝,Strobilanthes cusia,"严岳鸿,邢福武",110145,20011000,,600,,,无花无果,https://image.cvh.ac.cn/files/l/HUST/00035915.jpg,,,,,,,,,, +,Strobilanthes dimorphotricha,"Bodinier, Emile Marie (Rev.)",1797,10 August 1897,,,,,,https://image.cvh.ac.cn/files/l/E/E00133588.jpg,,,,,,,,,, +球花马蓝,Strobilanthes dimorphotricha,张代贵,Dt080925001,20080925,湖南湘西州,,路旁,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU66153.jpg,,,,,,,,,, +球花马蓝,Strobilanthes dimorphotricha,田旗、葛斌杰、王正伟,TQ02437,20121103,福建省,104,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/0020078.jpg,,,,,,,,,, +,Strobilanthes discolor,,,,,,,,,,,,,,,,,,, +疏花叉花草,Strobilanthes divaricata,中植联广西队,4001,20081015,广西壮族自治区,260,石灰岩石山、山坡、疏林,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00281244.jpg,,,,,,,,,, +长苞马蓝,Strobilanthes echinata,东兴市普查队,450681190630054LY,20190630,广西,562,阔叶林,林缘,石灰土,偶见野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00420564.jpg,,,,,,,,,, +长苞蓝,Strobilanthes echinata,叶华谷等,6663,20011030,广东省,0~500,,草本,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0561691.jpg,,,,,,,,,, +长苞蓝,Strobilanthes echinata,王洪,8330,20051123,云南省,1750,次生林中,草本,,https://image.cvh.ac.cn/files/l/HITBC/0025986.jpg,,,,,,,,,, +,Strobilanthes elongata,,,,,,,,,,,,,,,,,,, +,Strobilanthes extensa,"Ducloux, F. (Père)",149,9-Aug-04,,,,,,https://image.cvh.ac.cn/files/l/E/E00133567.jpg,,,,,,,,,, +,Strobilanthes extensa,中甸队,1079,19620824,云南省,3300,云杉林下阴处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01544414.jpg,,,,,,,,,, +,Strobilanthes extensa,George Forrest,28963,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01544327.jpg,,,,,,,,,, +,Strobilanthes fimbriata,,,,,,,,,,,,,,,,,,, +,Strobilanthes forrestii,葛菲,,19920604,湖北,1200m,,草本,有花无果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0005582.jpg,,,,,,,,,, +腺毛马蓝,Strobilanthes forrestii,,92,19600806,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/HGAS/031802.jpg,,,,,,,,,, +腺毛马蓝,Strobilanthes forrestii,A.K.Bulley,2760,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0285827.jpg,,,,,,,,,, +,Strobilanthes glabrata,,,,,,,,,,,,,,,,,,, +,Strobilanthes glomerata,,,,,,,,,,,,,,,,,,, +,Strobilanthes glutinosa,,,,,,,,,,,,,,,,,,, +叉花草,Strobilanthes hamiltoniana,王金英,邱竹君,WJY0347,20181114,福建,201.3~43,栽植,,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0006550.jpg,,,,,,,,,, +叉花草,Strobilanthes hamiltoniana,何开红,C470154,20100917,云南省,570,百花园,草本,,https://image.cvh.ac.cn/files/l/HITBC/0023369.jpg,,,,,,,,,, +,Strobilanthes helicta,高信芬、涂卫国、何海、乔永康,7202,20030909,西藏自治区,2200,路边林下,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0187616.jpg,,,,,,,,,, +曲序马蓝,Strobilanthes helicta,周仕顺,1515,20030720,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/106451.jpg,,,,,,,,,, +曲序马蓝,Strobilanthes helicta,陶国达,14545,19840300,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/046000.jpg,,,,,,,,,, +,Strobilanthes inflata,H.T.Tsai,57433,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01544460.jpg,,,,,,,,,, +,Strobilanthes inflata,"Forrest, George",19238,19-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00047317.jpg,,,,,,,,,, +锡金马蓝,Strobilanthes inflata,张挺,郭永杰,刘成等,10CS2125,20100729,云南,2581,Pinus yunnanensis forest. Growing with bamboo and Toxicodendron.,,,https://image.cvh.ac.cn/files/l/KUN/1386093.jpg,,,,,,,,,, +,Strobilanthes inflata var. aenobarba,"Forrest, George",19238,19-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00047317.jpg,,,,,,,,,, +,Strobilanthes inflata var. aenobarba,K.M.Feng,Feng 8200,19401006,云南省,,杂林中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01576422.jpg,,,,,,,,,, +白毛马蓝,Strobilanthes lachenensis,,4552,,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0561825.jpg,,,,,,,,,, +白毛马蓝,Strobilanthes lachenensis,王汉臣,2387,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0561873.jpg,,,,,,,,,, +,Strobilanthes lachenensis,"Forrest, George",4550,6-Jul,,,,,,https://image.cvh.ac.cn/files/l/E/E00133387.jpg,,,,,,,,,, +,Strobilanthes lamiifolia,T.N.Liou,14696,19451207,云南省,1850,On grassyslope,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620981.jpg,,,,,,,,,, +,Strobilanthes lamiifolia,高信芬、彭玉兰、孙庚,3538,20020916,四川省,2000,沟边湿润路边或石壁上,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0188222.jpg,,,,,,,,,, +蒙自金足草,Strobilanthes lamiifolia,C.W.Wang,83726,19390922,云南省 ,0~1300,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0561881.jpg,,,,,,,,,, +,Strobilanthes maculata,,,,,,,,,,,,,,,,,,, +,Strobilanthes mastersii,"Forrest, George",16107,17-Sep,,,,,,https://image.cvh.ac.cn/files/l/E/E00133610.jpg,,,,,,,,,, +,Strobilanthes mastersii,"程树志,李渤生",3238,19821201,西藏自治区,1100,沟谷潮湿处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01545545.jpg,,,,,,,,,, +,Strobilanthes mastersii,王洪,7101,20040506,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/107727.jpg,,,,,,,,,, +,Strobilanthes multidens,,,,,,,,,,,,,,,,,,, +,Strobilanthes nobilis,王启无,78317,19360900,云南省,1800,Forest glade,,有花无果,https://image.cvh.ac.cn/files/l/PE/01544484.jpg,,,,,,,,,, +沙坝马蓝,Strobilanthes nobilis,王启无,78317,19360900,云南省 ,1800,Forest glade,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00245452.jpg,,,,,,,,,, +,Strobilanthes oligocephala,毛品一,1749,19521112,云南省,2300,斜坡湿润,,无花有果,https://image.cvh.ac.cn/files/l/PE/01544749.jpg,,,,,,,,,, +,Strobilanthes oresbia,K.M.Feng,Feng 8400,19401012,云南省,,草坡上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620819.jpg,,,,,,,,,, +山马蓝,Strobilanthes oresbia,佘孟兰,黄秀兰,袁昌齐,64193,19641022,四川省,1500,自本山引种,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00245891.jpg,,,,,,,,,, +山马蓝,Strobilanthes oresbia,姚淦 汤庚国 郑维列 潘刚,3680,19900904,西藏自治区,1100,疏灌乡,草本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00245528.jpg,,,,,,,,,, +尖萼马蓝,Strobilanthes oxycalycina,,3648,19900831,西藏自治区,1500,阔叶林,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00003816.jpg,,,,,,,,,, +尖萼马蓝,Strobilanthes oxycalycina,"刘成, 亚吉东",18CS17228,20181121,西藏,941,中平树林下,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486776.jpg,,,,,,,,,, +,Strobilanthes paniculiformis,青藏队,74-4967,19740831,西藏自治区,2200,山坡阔叶林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01620838.jpg,,,,,,,,,, +,Strobilanthes paniculiformis,"郭永杰, 张桥蓉, 秦少发, 张凤琼, 桑杰平措",16CS14419,20161113,西藏,1605,林下阴湿处,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1454219.jpg,,,,,,,,,, +小叶马蓝,Strobilanthes parvifolia,李进,2661,19931118,广东省,20,园内栽培,草本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00021803.jpg,,,,,,,,,, +,Strobilanthes pentastemonoides,韦松基等,829,19781028,广西壮族自治区,,土山,山谷,水旁,路边,灌丛中,草本,,https://image.cvh.ac.cn/files/l/IBK/IBK00339110.jpg,,,,,,,,,, +,Strobilanthes pterygorrhachis,,,,,,,,,,,,,,,,,,, +,Strobilanthes pubiflora,高信芬、涂卫国、何海、乔永康,7851,20030923,西藏自治区,2000,林下,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0187622.jpg,,,,,,,,,, +,Strobilanthes rhombifolia,A. Henry,11183,,,,,,,https://image.cvh.ac.cn/files/l/NY/00278313.jpg,,,,,,,,,, +,Strobilanthes rubescens,,,,,,,,,,,,,,,,,,, +,Strobilanthes secunda,,,,,,,,,,,,,,,,,,, +,Strobilanthes simonsii,,,,,,,,,,,,,,,,,,, +双曲马蓝,Strobilanthes sunhangii,孙航,邓涛,李志敏,Sunhang19964,20181005,西藏,1477,林下、林缘,半灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1345286.jpg,,,,,,,,,, +,Strobilanthes tamburensis,,,,,,,,,,,,,,,,,,, +,Strobilanthes tenax,,,,,,,,,,,,,,,,,,, +,Strobilanthes thomsonii,,,,,,,,,,,,,,,,,,, +,Strobilanthes tibetica,"张永田,郞楷永",4350,19660622,西藏自治区,2400,山坡密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01544723.jpg,,,,,,,,,, +,Strobilanthes tibetica,,1258,19480000,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01544720.jpg,,,,,,,,,, +,Strobilanthes tibetica,"Kingdon-Ward, Francis",10942,22-Nov-33,,,,,,https://image.cvh.ac.cn/files/l/E/E00265800.jpg,,,,,,,,,, +,Strobilanthes tomentosa,李寿昌,343,19810910,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/068947.jpg,,,,,,,,,, +尖药花,Strobilanthes tomentosa,蔡杰,吴太平,胡祖勇,普艳,李桂凤,17CS15367,20170921,云南,1132,林缘灌木丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1488618.jpg,,,,,,,,,, +,Strobilanthes tomentosa,"张志松,张永田",8711,19600828,贵州省,1200,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01544129.jpg,,,,,,,,,, +,Strobilanthes tubiflos,,,,,,,,,,,,,,,,,,, +,Strobilanthes twangensis,,,,,,,,,,,,,,,,,,, +,Strobilanthes urophylla,,,,,,,,,,,,,,,,,,, +,Strobilanthes versicolor,"李渤生,倪志诚,程树志",6766,19830819,西藏自治区,2600,Tsnfu林内草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01475218.jpg,,,,,,,,,, +,Strobilanthes versicolor,"周洪富,粟和毅",108525,19640606,重庆市,1100,路旁阴湿地方,,有花无果,https://image.cvh.ac.cn/files/l/PE/01390000.jpg,,,,,,,,,, +,Strobilanthes versicolor,高信芬、彭玉兰、涂卫国,2274,20020717,四川省,2760,杂木林下,灌木,,https://image.cvh.ac.cn/files/l/CDBI/CDBI0188216.jpg,,,,,,,,,, +云南马蓝,Strobilanthes yunnanensis,张桥蓉;余华,ZhangYH318,20201025,云南,2221,林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1553201.jpg,,,,,,,,,, +云南马蓝,Strobilanthes yunnanensis,李毓星,575,19860824,贵州,2400,高山,多年生草本、须根多数,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0076513.jpg,,,,,,,,,, +,Strobilanthes yunnanensis,王乾、顾健,SCW1623,20200621,四川,2656.5,,,无花有果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0270117.jpg,,,,,,,,,, +腋花马钱,Strychnos axillaris,董金龙,张文富,沐金海,鲍顺荣,ZhangWF148,20200629,云南,780,热带季节雨林,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1501267.jpg,,,,,,,,,, +腋花马钱,Strychnos axillaris,"朱华,王洪",,19881215,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/062906.jpg,,,,,,,,,, +腋花马钱,Strychnos axillaris,G.N.Batianoff,11377,19891024,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0470603.jpg,,,,,,,,,, +长籽马钱,Strychnos wallichiana,何历湘,146,19860715,湖南省,,路边半阳坡,,有花无果,https://image.cvh.ac.cn/files/l/HUFD/0001140.jpg,,,,,,,,,, +,Strychnos wallichiana,云南一组,s.n.,19670700,云南省,,沟谷林缘,,无花有果,https://image.cvh.ac.cn/files/l/PE/01325393.jpg,,,,,,,,,, +,Styrax hookeri,"Forrest, George",9869,13-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00105279.jpg,,,,,,,,,, +西藏安息香,Styrax hookeri,姚淦等,3530,19900828,西藏自治区,800,疏林,乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00007149.jpg,,,,,,,,,, +西藏野茉莉,Styrax hookeri,香考队,85-269,19850417,云南省,,灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227244.jpg,,,,,,,,,, +齿叶安息香,Styrax serrulatus,蔡杰,亚吉东,李昌洪,17CS15012,20170329,云南,780,常绿阔叶林林缘,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489345.jpg,,,,,,,,,, +齿叶安息香,Styrax serrulatus,王启无,74071,19350000,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0455928.jpg,,,,,,,,,, +齿叶安息香,Styrax serrulatus,Oliver,575,,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00021511.jpg,,,,,,,,,, +,Suaeda corniculata,刘玫,王臣,史传奇,茹剑,Liuetal584,20130711,黑龙江,133,干旱草原;盐碱地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1303375.jpg,,,,,,,,,, +角果碱蓬,Suaeda corniculata,于兆英,徐养鹏,2678,1981/9/23,陕西省  ,1400,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0448493.jpg,,,,,,,,,, +,Suaeda corniculata,段士民,王习勇等,167,20070823,新疆,1326,湿地边缘,匍匐草本,,https://image.cvh.ac.cn/files/l/KUN/1245272.jpg,,,,,,,,,, +西藏角果碱蓬,Suaeda corniculata var. olufsenii,青藏队,76-102,19760710,西藏自治区,4300,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00541009.jpg,,,,,,,,,, +西藏角果碱蓬,Suaeda corniculata var. olufsenii,杨永昌,1570,19650908,青海省,3700,河漫滩,,有花无果,https://image.cvh.ac.cn/files/l/PE/00527129.jpg,,,,,,,,,, +,Suaeda prostrata,潘建斌,杜维波,牛炳韬,Liujq-2011CDM-123,20110922,青海,2762,柽柳-芦苇荒漠灌丛,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1245345.jpg,,,,,,,,,, +平卧碱蓬,Suaeda prostrata,"陈耀东,倪瑞生",29,19820809,青海省,2814,湖边盐碱地苇丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00527414.jpg,,,,,,,,,, +平卧碱蓬,Suaeda prostrata,H. Migo,,19330618,上海,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0163437.jpg,,,,,,,,,, +,Swertia alata,,,,,,,,,,,,,,,,,,, +,Swertia assamensis,,,,,,,,,,,,,,,,,,, +,Swertia bifolia,,657,1964/8/13,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0026267.jpg,,,,,,,,,, +二叶獐牙菜,Swertia bifolia,岳俊三等,4341,19630927,江西省,1600,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0532491.jpg,,,,,,,,,, +二叶獐牙菜,Swertia bifolia,T.N.Liou P.C.Tsoong,983,19370915,,3900,on gentiana bifolia,,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0054195.jpg,,,,,,,,,, +獐牙菜,Swertia bimaculata,傅立国,759,19570730,江苏省,,生路旁之沟内阴湿之处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01441156.jpg,,,,,,,,,, +獐牙菜,Swertia bimaculata,郭惠珠,3788,20151014,福建,,林下灌丛中,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/XMBG/XMBG0006821.jpg,,,,,,,,,, +獐牙菜,Swertia bimaculata,H.Ohashi H.Ohba etc.,774316,19770923,Yamanashi,2100,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/554763.jpg,,,,,,,,,, +,Swertia chirayita,"Delavay, J.M.",6512,1895-8,,,,,,https://image.cvh.ac.cn/files/l/P/P00525915.jpg,,,,,,,,,, +普兰獐牙菜,Swertia ciliata,毛康珊、任广朋、邹嘉宾,LiuJQ-074,20110916,西藏自治区,0~3671,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0284088.jpg,,,,,,,,,, +普兰獐牙菜,Swertia ciliata,生物研究所西藏考察队,4085,74.08.20,新疆维吾尔自治区 ,3700,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00030360.jpg,,,,,,,,,, +西南獐牙菜,Swertia cincta,曹铁如,30,19820803,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI042128.jpg,,,,,,,,,, +西南獐牙菜,Swertia cincta,,14557,19940903,重庆市,1950,杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/00869640.jpg,,,,,,,,,, +西南獐牙菜,Swertia cincta,史国定,11,19800900,甘肃省,3200,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0532723.jpg,,,,,,,,,, +,Swertia cordata,Inayat,19945,18960818,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU047432.jpg,,,,,,,,,, +心叶獐牙菜,Swertia cordata,"李渤生,李辉,阳艺",13440,19900903,西藏自治区,3100~3300,亚高山灌丛草甸中时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196315.jpg,,,,,,,,,, +心叶獐牙菜,Swertia cordata,"赵文李, 陶小强",BSGLGSly3203,20191106,云南,2375,山坡、峡谷,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1486532.jpg,,,,,,,,,, +楔叶獐牙菜,Swertia cuneata,西藏中草药普查队,1728,19720902,西藏自治区,3800,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00004382.jpg,,,,,,,,,, +楔叶獐牙菜,Swertia cuneata,张挺,刘成,何华杰,19CS18723,20190910,西藏,4488,高山灌草丛,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1506013.jpg,,,,,,,,,, +,Swertia cuneata var. asterocalyx,,,,,,,,,,,,,,,,,,, +当药,Swertia diluta,路端正,,19960904,内蒙古,410,,,,https://image.cvh.ac.cn/files/l/BJFC/00017180.jpg,,,,,,,,,, +,Swertia diluta,胡君、王东超、李丽、李奥奥、曾思源、黄欣,SC-a-030-B38,20160812,云南,,高山栎群落中,草本(幼苗),有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00609873.jpg,,,,,,,,,, +北方獐牙菜,Swertia diluta,Y.Yabe,,19250831,山东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00081129.jpg,,,,,,,,,, +,Swertia grandiflora,,,,,,,,,,,,,,,,,,, +小毛萼獐牙菜,Swertia hispidicalyx,青藏队,7337,19750902,西藏自治区,4500,惰性湖边盐碱砂砾地,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00004886.jpg,,,,,,,,,, +毛萼獐牙菜,Swertia hispidicalyx,朱鑫鑫;王君;王美华;尼玛顿珠,ZXX201770,20200815,西藏,3911,荒坡上,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1508923.jpg,,,,,,,,,, +小毛萼獐牙菜,Swertia hispidicalyx var. minima,刘尚武,3522,19880829,西藏自治区,3700,半阴坡,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00004633.jpg,,,,,,,,,, +小毛萼獐牙菜,Swertia hispidicalyx var. minima,张挺,刘成,何华杰,19CS18710,20190910,西藏,4254,河谷山坡,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505879.jpg,,,,,,,,,, +粗壮獐牙菜,Swertia hookeri,"Y.S.Chen,Z.Y.Chang,M.Deng et al.",13-0314,20130805,西藏自治区,4600,山坡 灌丛 草甸,,有花无果,https://image.cvh.ac.cn/files/l/PE/02000823.jpg,,,,,,,,,, +黄花獐牙菜,Swertia kingii,,1656,19720831,西藏自治区,3400~3500,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00004657.jpg,,,,,,,,,, +大籽獐牙菜,Swertia macrosperma,李雄、谢勇,19082431,20190824,湖南,1700,山脊,,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI072667.jpg,,,,,,,,,, +大籽獐牙菜,Swertia macrosperma,蔡希陶,7783,,云南省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00060546.jpg,,,,,,,,,, +大籽獐牙菜,Swertia macrosperma,李洪钧,5373,19580827,新疆维吾尔自治区,1350,荒坡路边,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0197858.jpg,,,,,,,,,, +,Swertia membranifolia,"Delavay, J.M.",3963,1889-9-4,,,,,,https://image.cvh.ac.cn/files/l/P/P00525891.jpg,,,,,,,,,, +膜叶獐牙菜,Swertia membranifolia,H.C.Wang,4515,19450822,云南省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0532882.jpg,,,,,,,,,, +膜叶獐牙菜,Swertia membranifolia,Y.Tsiang,11654,19330824,云南省 ,2500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0532883.jpg,,,,,,,,,, +多茎獐牙菜,Swertia multicaulis,王富葆,213,19750715,西藏自治区,0~4600,,,有花无果,https://image.cvh.ac.cn/files/l/N/135246352.jpg,,,,,,,,,, +伞花獐牙菜,Swertia multicaulis,王臣,张欣欣,崔皓钧,谢博勋,WangCh326,20160913,黑龙江,388,高山草地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437983.jpg,,,,,,,,,, +多茎獐牙菜,Swertia multicaulis,青藏补点,750226,19750606,青海省,4350,高山草地,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00004943.jpg,,,,,,,,,, +伞花獐牙菜,Swertia multicaulis var. umbellifera,王臣,张欣欣,崔皓钧,谢博勋,WangCh326,20160913,黑龙江,388,高山草地,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1437983.jpg,,,,,,,,,, +伞花獐牙菜,Swertia multicaulis var. umbellifera,西藏中草药普查队,1814,19720905,西藏自治区,4700,山顶草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/HNWP/00004941.jpg,,,,,,,,,, +川西獐牙菜,Swertia mussotii,"D.E.Boufford, J.H.Chen, S.L.Kelley, J.Li, R.H.Ree,",31214,20040729,西藏,3625,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026798.jpg,,,,,,,,,, +川西獐牙菜,Swertia mussotii,付筱,雷嘉卿,周雨阳,LJQ-A-020-015,20200924,四川,3118,路边,阳生或中生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02065681.jpg,,,,,,,,,, +,Swertia mussotii,西藏中草药普查队,1814,19720905,西藏自治区,4700,山顶 草坡,,无花有果,https://image.cvh.ac.cn/files/l/PE/01496009.jpg,,,,,,,,,, +显脉獐牙菜,Swertia nervosa,侯小琪,WNX0197,20141013,贵州,,水旁草坡,草本,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0001416.jpg,,,,,,,,,, +显脉獐牙菜,Swertia nervosa,李国凤,65001,19571031,重庆市,580,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01462255.jpg,,,,,,,,,, +,Swertia nervosa,"Cavalerie, Pierre Julien",1932,6-Oct-04,,,,,,https://image.cvh.ac.cn/files/l/E/E00001938.jpg,,,,,,,,,, +宽丝獐牙菜,Swertia paniculata,Favre,1211,20120906,云南省 ,3156,along road in disturbed vegetation and secondary forests,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1247716.jpg,,,,,,,,,, +宽丝獐牙菜,Swertia paniculata,,1901,19941008,云南省,3045,Deciduous forest by roadside,,有花无果,https://image.cvh.ac.cn/files/l/PE/01440098.jpg,,,,,,,,,, +紫红獐牙菜,Swertia punicea,许介媚 高举林 耿玉英,90323,19900809,四川省,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/019899.jpg,,,,,,,,,, +紫红獐牙菜(原变种),Swertia punicea,刘成,冯明建,秦少发,李永亮,20CS20190,20201113,云南,2457,石灰岩山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1505081.jpg,,,,,,,,,, +紫红獐牙菜,Swertia punicea,T.P.Wang,12130,19391110,重庆市,140,Sandy shore,,有花无果,https://image.cvh.ac.cn/files/l/PE/01462445.jpg,,,,,,,,,, +,Swertia purpurascens,G.Forrest,28944,19300000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01462514.jpg,,,,,,,,,, +,Swertia purpurascens,青藏队,76-8476,19760716,西藏自治区,3600,河滩草地湿润处,,有花无果,https://image.cvh.ac.cn/files/l/PE/01462510.jpg,,,,,,,,,, +,Swertia purpurascens,,12400,19380917,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0050097.jpg,,,,,,,,,, +藏獐牙菜,Swertia racemosa,路端正,,20020900,西藏自治区,3800,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/00017130.jpg,,,,,,,,,, +藏獐牙菜,Swertia racemosa,"张挺, 刘成, 亚吉东",18CS17688,20180916,西藏,3649,林缘路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1487364.jpg,,,,,,,,,, +藏獐牙菜,Swertia racemosa,M.Mikage etc.,9684128,19960909,,3700,Alpine meadow,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264707.jpg,,,,,,,,,, +,Swertia speciosa,,,,,,,,,,,,,,,,,,, +,Swertia taylorii,"Ludlow, Frank: Sherriff, George & Taylor, George",5256,15-Jul-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00155403.jpg,,,,,,,,,, +绿花獐牙菜,Swertia virescens,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,870,20121016,西藏,,高山草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/BJM/0230402.jpg,,,,,,,,,, +绿花獐牙菜,Swertia virescens,"李渤生,程树志",1149,19821008,西藏自治区,4070~4370,高山灌丛及湖边草甸间常见种,,无花有果,https://image.cvh.ac.cn/files/l/PE/01446037.jpg,,,,,,,,,, +绿花獐牙菜,Swertia virescens,谢登峰、蔡竞、秦换换,CJ-006-A-029,20200919,四川,3402.39m,灌草丛山坡,中生或阳生,无花有果,https://image.cvh.ac.cn/files/l/SZ/02061309.jpg,,,,,,,,,, +,Swertia wardii,,,,,,,,,,,,,,,,,,, +,Swertia wardii var. rigida,,,,,,,,,,,,,,,,,,, +华北獐牙菜,Swertia wolfgangiana,Licent,11309,19330817,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00048535.jpg,,,,,,,,,, +华北獐牙菜,Swertia wolfgangiana,serre,4687,19180817,,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00026167.jpg,,,,,,,,,, +华北獐牙菜,Swertia wolfgangiana,"D.E.Boufford, J.H.Chen, S.L.Kelley, J.Li, R.H.Ree,",32006,20040810,西藏,4680,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00026418.jpg,,,,,,,,,, +少花獐牙菜,Swertia younghusbandii,王富葆,44,19750800,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/135246370.jpg,,,,,,,,,, +合头草,Sympegma regelii,"孙世洲,孔令韶",82080,19820815,青海省,2900,山脚石坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02098999.jpg,,,,,,,,,, +合头草,Sympegma regelii,"张磊, 范小燕, 郭建全, 杨惠荣",QTP-LJQ-1337-3022,20190805,甘肃,1862,荒漠草原,半灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1474504.jpg,,,,,,,,,, +合头草,Sympegma regelii,陈邦余 李泽贤,117,19801110,广西,,海边水中,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/WUK0427421.jpg,,,,,,,,,, +短星菊,Symphyotrichum ciliatum,孙阎;徐洪亮,SunY539,20200820,黑龙江,145,村旁,一年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1553973.jpg,,,,,,,,,, +,Symphyotrichum ciliatum,Agnieszka Nobis & Marcin Nobis,,20090919,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/02036159.jpg,,,,,,,,,, +聚合草,Symphytum officinale,张勇、赵甘新,RQSB01494,20151003,甘肃省,952,荒地,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0134732.jpg,,,,,,,,,, +聚合草,Symphytum officinale,李启瑞,52263120190523492LY,20190523,贵州,630,草丛、中生、阳性、中温、钙质土、野生植物,多年生草本植物,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0101172.jpg,,,,,,,,,, +聚合草,Symphytum officinale,巴山采集队,1644,20080719,重庆市,1975,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01850942.jpg,,,,,,,,,, +腺叶山矾,Symplocos adenophylla,Hsiao-Ying Shen,308,19941010,台湾省,840~825,on exposed trail,,有花有果,https://image.cvh.ac.cn/files/l/KUN/691574.jpg,,,,,,,,,, +腺叶山矾,Symplocos adenophylla,刘慎谔等,2670,19350813,安徽省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/248040.jpg,,,,,,,,,, +腺叶山矾,Symplocos adenophylla,"朱华,王洪",2518,19891212,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/062849.jpg,,,,,,,,,, +薄叶山矾,Symplocos anomala,丁巧玲、张信坚、叶矾、潘嘉文、蔡文峰,Lxp-13-18574,20160528,江西省井冈山市,445,山坡、壤土、密林,陆生、灌木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00182744.jpg,,,,,,,,,, +薄叶山矾,Symplocos anomala,矦喜祥,1213,19730820,陕西省,1000,山谷内灌丛中,小乔木,有花无果,https://image.cvh.ac.cn/files/l/FJSI/FJSI025587.jpg,,,,,,,,,, +薄叶山矾,Symplocos anomala,赵子恩,1230,19641024,湖北,,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0170294.jpg,,,,,,,,,, +黄牛奶树,Symplocos cochinchinensis,张代贵,JH142,20160408,湖南永州,299.4,路边阔叶林,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU24163.jpg,,,,,,,,,, +微毛越南山矾,Symplocos cochinchinensis,章绍尧,6933,19590728,浙江省,0,谷地林下,,有果无花,https://image.cvh.ac.cn/files/l/KUN/37931.jpg,,,,,,,,,, +黄牛奶树,Symplocos cochinchinensis,高云东、鞠文彬、Do Van Truong、Fazal Ullah,TXD-X-030,20190409,四川,350-400,路边,乔木,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0248316.jpg,,,,,,,,,, +坚木山矾,Symplocos dryophila,赵良成;尚策;徐申健;夏永彭,BJFUZLC007B03,20170927,四川,939,,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1563905.jpg,,,,,,,,,, +坚木山矾,Symplocos dryophila,黄荣福,252,19790628,西藏自治区,2100,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/85069.jpg,,,,,,,,,, +坚木山矾,Symplocos dryophila,刘林翰,1608,19580509,湖南省,1160,山地疏林,,有花有果,https://image.cvh.ac.cn/files/l/KUN/38350.jpg,,,,,,,,,, +羊舌树,Symplocos glauca,H.Y.Liang,63455,19331017,海南省 ,,,small tree,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00010804.jpg,,,,,,,,,, +羊舌树,Symplocos glauca,anonymous,8369,19600625,浙江省,,,,无花无果,https://image.cvh.ac.cn/files/l/HTC/HTC0007734.jpg,,,,,,,,,, +羊舌树,Symplocos glauca,Tsang W. T.,22304,1933/5/16,广西,,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0236925.jpg,,,,,,,,,, +团花山矾,Symplocos glomerata,R.C.Chang,6021,19210624,广西壮族自治区,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0465237.jpg,,,,,,,,,, +团花山矾,Symplocos glomerata,和旭、白洪兵,533324180518255LY,20180518,云南,2343,,乔木,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009154.jpg,,,,,,,,,, +团花山矾,Symplocos glomerata,"刘成, 亚吉东",18CS17250,20181123,西藏,1593,次生林中,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1484749.jpg,,,,,,,,,, +,Symplocos lucida,杜阳平、胡娉婷、王义康,PW0704,20191021,四川,1943,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0287762.jpg,,,,,,,,,, +光亮山矾,Symplocos lucida,永福县普查队,450326140613032LY,20140613,广西壮族自治区,250,阔叶林、林下、石灰土,乔木,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0152078.jpg,,,,,,,,,, +光亮山矾,Symplocos lucida,朱鑫鑫,王君,王美华,ZXX20058,20200401,安徽,695,溪边,,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0187117.jpg,,,,,,,,,, +,Symplocos oxyphylla,,,,,,,,,,,,,,,,,,, +白檀,Symplocos paniculata,山东队,413,19541018,山东,1050,山坡路旁,,无花无果,https://image.cvh.ac.cn/files/l/PE/01811766.jpg,,,,,,,,,, +,Symplocos paniculata,"Cavalerie, J.",2098,1904/5/10,,,,,,https://image.cvh.ac.cn/files/l/P/P00648377.jpg,,,,,,,,,, +白檀,Symplocos paniculata,陈振邦,9,19820506,湖北省,,,落叶灌木或乔木,有花无果,https://image.cvh.ac.cn/files/l/CCAU/ccau0008460.jpg,,,,,,,,,, +叶萼山矾,Symplocos phyllocalyx,木本油料调查组,65-0463,19650712,云南,3200,阔叶林下,小乔木,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0170139.jpg,,,,,,,,,, +叶萼山矾,Symplocos phyllocalyx,符潮,F693,20160600,江西,360,林下,,无花无果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0005486.jpg,,,,,,,,,, +叶萼山矾,Symplocos phyllocalyx,Y.P.Chamg,532,19401030,云南省 ,3500,in open woods,small tree,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00302435.jpg,,,,,,,,,, +梨叶山矾,Symplocos pyrifolia,Suzuki_Tokio,21330,19410420,,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00017318.jpg,,,,,,,,,, +梨叶山矾,Symplocos pyrifolia,"左大勋,陈和生,汪嘉熙",,19540703,浙江省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00017282.jpg,,,,,,,,,, +梨叶山矾,Symplocos pyrifolia,H.Ohashi etc.,25632,19670620,Topke Gola,2200,灌木丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/39583.jpg,,,,,,,,,, +珠仔树,Symplocos racemosa,中越考察队,2144,19650209,新安,780~400,高草灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/39718.jpg,,,,,,,,,, +珠仔树,Symplocos racemosa,谭策铭、易桂花、易发彬、张丽萍,03廉江045,20030119,广东省,,,,有花无果,https://image.cvh.ac.cn/files/l/JJF/00006462.jpg,,,,,,,,,, +珠仔树,Symplocos racemosa,C.Y.Chiao,1497,19270814,浙江省,0~500,,,有花有果,https://image.cvh.ac.cn/files/l/N/133242322_1.jpg,,,,,,,,,, +多花山矾,Symplocos ramosissima,曹铁如,90264,19900913,湖南,720,草坪中路边,乔木,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0170473.jpg,,,,,,,,,, +多花山矾,Symplocos ramosissima,杨光辉,55024,19570601,四川,1400,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0170476.jpg,,,,,,,,,, +多花山矾,Symplocos ramosissima,宋鼎;张桥蓉;赵国放;张辽;杨斌,CN394,20190804,云南,2417,林缘,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1552764.jpg,,,,,,,,,, +,Symplocos sulcata,"周浙昆,费勇,税玉民等",416,19991023,云南省,2200,第二营地至第一营地,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110320.jpg,,,,,,,,,, +,Symplocos sulcata,"Henry, A.",12014A,,,,,,,https://image.cvh.ac.cn/files/l/E/E00195399.jpg,,,,,,,,,, +,Symplocos sulcata,刘恩德,上官法智等,3973,20130305,云南省 ,1440,forest margin in forest,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1227531.jpg,,,,,,,,,, +山矾,Symplocos sumuntia,黄德富,1066,19810714,贵州省,1100,山腰密林中,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00025506.jpg,,,,,,,,,, +山矾,Symplocos sumuntia,广南队,5326270938,20160629,云南省,1654,阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0028167.jpg,,,,,,,,,, +,Symplocos sumuntia,K.K.TSOONG,0,19210409,安徽,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0059862.jpg,,,,,,,,,, +,Symplocos theophrastifolia,C.M.Wang C.C.Wang & G.Y.Wang,1342,19941212,台湾省,155,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00846136.jpg,,,,,,,,,, +,Symplocos theophrastifolia,"C. M. Wang,C. C. Wang,G. Y. Wang",1342,19941212,台湾,155,无,,,https://image.cvh.ac.cn/files/l/KUN/1285299.jpg,,,,,,,,,, +绿枝山矾,Symplocos viridissima,黔北队,160,19590412,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00091910.jpg,,,,,,,,,, +绿枝山矾,Symplocos viridissima,左景烈,陈念劬,43557,19320818,海南省 ,1700,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0488634.jpg,,,,,,,,,, +绿枝山矾,Symplocos viridissima,梁向日,62683,19330818,海南省,,山顶浓荫处,灌木,无花无果,https://image.cvh.ac.cn/files/l/AU/AU046793.jpg,,,,,,,,,, +,Syncalathium disciforme,"Rock, J.F.",13729,25-Oct,,,,,,https://image.cvh.ac.cn/files/l/E/E00265470.jpg,,,,,,,,,, +盘状合头菊,Syncalathium disciforme,陈晓澄、肖洒等人,9876,20160809,青海,4562,流石滩砾石沟下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00021181.jpg,,,,,,,,,, +盘状合头菊,Syncalathium disciforme,陈晓澄、肖洒,8012,20150807,青海省,4534,灌木丛草甸山下,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00011253.jpg,,,,,,,,,, +合头菊,Syncalathium kawaguchii,崔友文,5458,19510822,,,高山坡 阳坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/00852763.jpg,,,,,,,,,, +合头菊,Syncalathium kawaguchii,H.B.G.,1196,19930812,青海省,4300,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/172463.jpg,,,,,,,,,, +合头菊,Syncalathium kawaguchii,罗建、汪书丽,LIUJQ249,20110924,西藏自治区,0~4525,温带高山流石滩,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0280805.jpg,,,,,,,,,, +,Syncalathium roseum,"D.E.Boufford,J.H.Chen,S.L.Kelley,J.Li,R.H.Ree,H.Su",32013,20040811,西藏自治区,4495,Stony slope above and below road,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1374667.jpg,,,,,,,,,, +康滇合头菊,Syncalathium souliei,溥发鼎,332,1984-9 1,四川省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0178906.jpg,,,,,,,,,, +康滇合头菊,Syncalathium souliei,倪志诚 汪永泽 次多 次旦,1088,19800815,西藏自治区,3600,河谷碎土上,草本,有花无果,https://image.cvh.ac.cn/files/l/XZ/XZ0008380.jpg,,,,,,,,,, +康滇合头菊,Syncalathium souliei,方震东,1072,19880909,云南省,4300,高山砾质草甸,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001955.jpg,,,,,,,,,, +子农合耳菊,Synotis chingiana,陈照宙,53241,19631030,广西壮族自治区,650,低山地 路旁 山谷 疏林下 湿土,,有花有果,https://image.cvh.ac.cn/files/l/PE/02233557.jpg,,,,,,,,,, +子农合耳菊,Synotis chingiana,宋鼎;刘敏;魏定名;杨龙斌;李双斌;张桥蓉,CN263,20190221,云南,2721,林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551373.jpg,,,,,,,,,, +子农合耳菊,Synotis chingiana,邱炳云,596368,19641024,云南省,2500,山汫内开阔处,草本,,https://image.cvh.ac.cn/files/l/ZM/ZMNH0041678.jpg,,,,,,,,,, +,Synotis glomerata,"Howell, E.B.",141,,,,,,,https://image.cvh.ac.cn/files/l/E/E00414044.jpg,,,,,,,,,, +聚花合耳菊,Synotis glomerata,,141,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0621188.jpg,,,,,,,,,, +聚花合耳菊,Synotis glomerata,李永亮等三人,LiYL1433,20151101,云南,,南亚热带中山湿性常绿阔叶林下,半灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1375894.jpg,,,,,,,,,, +丽江合耳菊,Synotis lucorum,H.T. Tsai,53944,19330730,云南省 ,3500,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00092740.jpg,,,,,,,,,, +丽江合耳菊,Synotis lucorum,尹志坚等,1235,20090715,云南省,3800,Roadsides,grassy slope,,有花有果,https://image.cvh.ac.cn/files/l/PE/01885416.jpg,,,,,,,,,, +,Synotis lucorum,"Forrest, George",4053,6-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00414039.jpg,,,,,,,,,, +木里合耳菊,Synotis muliensis,赵清盛,6170,1978-7 2,四川省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0149148.jpg,,,,,,,,,, +,Synotis setchuenensis,"Soulié, J.A.",198,1893-8-2,,,,,,https://image.cvh.ac.cn/files/l/P/P00705011.jpg,,,,,,,,,, +四川合耳菊,Synotis setchuenensis,方震东,K-2275,20020925,四川省,3400~3500,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 008007.jpg,,,,,,,,,, +,Synotis solidaginea,胡君、王东超、李丽、唐露,SC-a-082-B07,20180812,西藏,3353,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0260844.jpg,,,,,,,,,, +川西合耳菊,Synotis solidaginea,植物调查队,乡3501,19730920,四川,3100,向阳干燥坡脚沟侧路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01824768.jpg,,,,,,,,,, +川西合耳菊,Synotis solidaginea,Tso Pin Wang,9834,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01691971.jpg,,,,,,,,,, +黄白合耳菊,Synotis xantholeuca,T.T.Yu,20128,19380904,云南省,2000~2400,Mt.slope open & grassy place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01716029.jpg,,,,,,,,,, +黄白合耳菊,Synotis xantholeuca,海仙、白洪兵,5333241812041176LY,20181204,云南,2363,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG010103.jpg,,,,,,,,,, +黄白合耳菊,Synotis xantholeuca,H.T. Tsai,59767,19331012,云南省 ,2900,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00092773.jpg,,,,,,,,,, +,Synotis yakoensis,"Forrest, George",959,5-Nov,,,,,,https://image.cvh.ac.cn/files/l/E/E00499844.jpg,,,,,,,,,, +丫口合耳菊,Synotis yakoensis,独龙江考察队,320,19901115,云南省,1350,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/KUN/726333.jpg,,,,,,,,,, +丫口合耳菊,Synotis yakoensis,H.T. Tsai,59099,19341030,云南省 ,2000,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00092778.jpg,,,,,,,,,, +,Syringa emodi,E.Bretschneider,s.n.,18810000,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01528598.jpg,,,,,,,,,, +喜马拉雅丁香,Syringa emodi,Y.Yabe,,19070718,山西省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00075869.jpg,,,,,,,,,, +喜马拉雅丁香,Syringa emodi,K.M.Liou,3609,19340905,河北省,1520,,,无花有果,https://image.cvh.ac.cn/files/l/NKU/NK 009393.jpg,,,,,,,,,, +,Syringa tomentella subsp. yunnanensis,陈进勇,4190,20040621,云南省,3238,开阔灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01530798.jpg,,,,,,,,,, +欧丁香,Syringa vulgaris,,7451,64.05.17,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00029745.jpg,,,,,,,,,, +,Syringa vulgaris,樊,388,19620427,北京,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/PE/01829068.jpg,,,,,,,,,, +欧丁香,Syringa vulgaris,张朝攀,张议月,zlnmu2021150,20210611,宁夏,1084,园林绿化(栽培),灌木,有花无果,https://image.cvh.ac.cn/files/l/NMU/NMU00476.jpg,,,,,,,,,, +狗牙花,Tabernaemontana divaricata,G.Forrest,9581,,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0479796.jpg,,,,,,,,,, +狗牙花,Tabernaemontana divaricata,王磊,SMY-0211,20160508,广西,90,公园,灌木,有花无果,https://image.cvh.ac.cn/files/l/GAC/GAC0010100.jpg,,,,,,,,,, +狗牙花,Tabernaemontana divaricata,曾宪锋,ZXF28549,20170713,福建省,360,,灌木,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0024092.jpg,,,,,,,,,, +柽柳,Tamarix chinensis,李宏庆等,SDP26643,20120512,上海市,,校园绿地,,无花无果,https://image.cvh.ac.cn/files/l/CSH/0007582.jpg,,,,,,,,,, +柽柳,Tamarix chinensis,王光正,177,1950/9/22,黑龙江省,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0188364.jpg,,,,,,,,,, +柽柳,Tamarix chinensis,"李世英,王庆瑞,黄大乐",58,19550620,青海省,2760,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01552152.jpg,,,,,,,,,, +,Tamarix dioica,B.S.I.P.,1127,19560000,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01177433.jpg,,,,,,,,,, +,Tanacetum pulchrum,,,,,,,,,,,,,,,,,,, +,Tanacetum tatsienense var. tatsienense,D.E.Boufford,B.Bartholomew,D.A.Eaton,X.H.Li,R.H.Re,41790,20090803,西藏,4030-4100,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1436832.jpg,,,,,,,,,, +,Tanacetum tatsienense var. tatsienense,D. E. Boufford et al.,39168,20070806,四川省,3760,Meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01882719.jpg,,,,,,,,,, +,Tanacetum tatsienense var. tatsienense,D.E.Boufford et al.,41119,20090725,西藏自治区,4540~4650,meadow,,有花无果,https://image.cvh.ac.cn/files/l/PE/01885718.jpg,,,,,,,,,, +,Taraxacum bicolor,青藏队,76-7936,19760706,西藏自治区,4300,香孜河河滩草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589385.jpg,,,,,,,,,, +,Taraxacum bicolor,山诺会,199808,19980812,青海省,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00005191.jpg,,,,,,,,,, +,Taraxacum centrasiaticum,,,,,,,,,,,,,,,,,,, +,Taraxacum glabrum,王乾、顾健,SCW1227,20190811,四川,4500,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0266893.jpg,,,,,,,,,, +光果蒲公英,Taraxacum glabrum,托孜,780711,1978723,,3600~3500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20024311.jpg,,,,,,,,,, +光果蒲公英,Taraxacum glabrum,托孜,780711,1978.7.2,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00043902.jpg,,,,,,,,,, +小叶蒲公英,Taraxacum goloskokovii,,s.n.,,新疆维吾尔自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01295301.jpg,,,,,,,,,, +小叶蒲公英,Taraxacum goloskokovii,吴玉虎等,3931,19880807,新疆维吾尔自治区 ,0~3950,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/149470.jpg,,,,,,,,,, +反苞蒲公英,Taraxacum grypodon,邱炳云,60221,1975-8 4,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0147775.jpg,,,,,,,,,, +,Taraxacum grypodon,余奇、熊先华、李琳霖,THP-KD-4897,20170814,四川,3932,,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0241390.jpg,,,,,,,,,, +反苞蒲公英,Taraxacum grypodon,刘建生,7622,1978-7 1,四川省,2620,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0150263.jpg,,,,,,,,,, +,Taraxacum ikonnikovii,,,,,,,,,,,,,,,,,,, +多毛蒲公英,Taraxacum lanigerum,魏振铎,20802,19800508,青海省,0~3480,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/97537.jpg,,,,,,,,,, +多毛蒲公英,Taraxacum lanigerum,T.T.Yu,12217,19370717,云南省,3500,Road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01589395.jpg,,,,,,,,,, +多毛蒲公英,Taraxacum lanigerum,西藏中草药普查队,686,19720628,西藏自治区,0~4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/29770.jpg,,,,,,,,,, +川甘蒲公英,Taraxacum lugubre,石贵竹,2014133035,20140528,贵州省,1121,路边,,有花无果,https://image.cvh.ac.cn/files/l/QNUN/QNUN0006684.jpg,,,,,,,,,, +,Taraxacum lugubre,,4682,19180817,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00037426.jpg,,,,,,,,,, +,Taraxacum lugubre,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-146-B15,20190824,西藏,3954,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274014.jpg,,,,,,,,,, +红角蒲公英,Taraxacum luridum,青藏队吴玉虎,3853,19880723,新疆维吾尔自治区 ,0~3150,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/150251.jpg,,,,,,,,,, +红角蒲公英,Taraxacum luridum,"李渤生,杜泽泉,张百平",11469,19870909,新疆维吾尔自治区,3900,沼泽 草甸常见种,,有花无果,https://image.cvh.ac.cn/files/l/PE/01295322.jpg,,,,,,,,,, +灰果蒲公英,Taraxacum maurocarpum,陈晓澄等,7031,20140815,西藏自治区,4430,高山草甸,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00015071.jpg,,,,,,,,,, +灰果蒲公英,Taraxacum maurocarpum,冯正波 朱大海 李小杰,20070159,20070423,四川省,3300,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/015175.jpg,,,,,,,,,, +,Taraxacum maurocarpum,胡君、李丽、刘晓芬、蒋洪、陈婉、唐双磊、吴宏蓉、朵泓睿、,SC-a-158-B33,20190828,四川,3972,灌丛群落,,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0274013.jpg,,,,,,,,,, +毛叶蒲公英,Taraxacum minutilobum,西植新疆队,1012,780705,,3600,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20024355.jpg,,,,,,,,,, +毛叶蒲公英,Taraxacum minutilobum,,3160,74.06.15,新疆维吾尔自治区 ,3700,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00043948.jpg,,,,,,,,,, +毛叶蒲公英,Taraxacum minutilobum,"近田文弘,郎楷永",605,19870917,新疆维吾尔自治区,3650,湖滨 草地 沙地上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01197676.jpg,,,,,,,,,, +尖角蒲公英,Taraxacum pingue,吴玉虎等,3944,19880807,新疆维吾尔自治区 ,0~3950,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/149443.jpg,,,,,,,,,, +尖角蒲公英,Taraxacum pingue,,3659,620729,,2000,,草本,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20024389.jpg,,,,,,,,,, +白缘蒲公英,Taraxacum platypecidum,侯元同,侯元免,高会芳,吕晓晨,陈佳欣,20170507026-2,20170507,山东省,117.99,河流湿地岸边,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0032232.jpg,,,,,,,,,, +白缘蒲公英,Taraxacum platypecidum,克里木,98001,1998.5.2,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00043982.jpg,,,,,,,,,, +白缘蒲公英,Taraxacum platypecidum,黄河队,5240,19560709,宁夏回族自治区,,山顶草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01691853.jpg,,,,,,,,,, +葱岑蒲公英,Taraxacum pseudominutilobum,"李渤生,郑度,张百明",10067,19870619,新疆维吾尔自治区,2450,砂 林下 湿地常见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01295329.jpg,,,,,,,,,, +策勒蒲公英,Taraxacum qirae,青藏队吴玉虎,1201,19870826,新疆维吾尔自治区,0~5160,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/146299.jpg,,,,,,,,,, +,Taraxacum stanjukoviczii,,,,,,,,,,,,,,,,,,, +角苞蒲公英,Taraxacum stenoceras,周立华 孙立南,2288,19700923,青海省,0~3450,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/23278.jpg,,,,,,,,,, +角苞蒲公英,Taraxacum stenoceras,T.H.Ting,s.n.,19300800,新疆维吾尔自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689176.jpg,,,,,,,,,, +角苞蒲公英,Taraxacum stenoceras,周立华 张盍曾,1431,19700714,甘肃省,0~2940,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/22696.jpg,,,,,,,,,, +寒生蒲公英,Taraxacum subglaciale,新疆采集队,1539,780718,,3620,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20024398.jpg,,,,,,,,,, +寒生蒲公英,Taraxacum subglaciale,张振万等,4543,1974.9.1,新疆维吾尔自治区 ,500,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00043994.jpg,,,,,,,,,, +寒生蒲公英,Taraxacum subglaciale,青藏队吴玉虎,870876,19870806,新疆维吾尔自治区,0~2800,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/144413.jpg,,,,,,,,,, +,Tarenna asiatica,C.E.Ridsdale,4,19760604,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0510754.jpg,,,,,,,,,, +,Tarenna disperma,,,,,,,,,,,,,,,,,,, +,Tarenna odorata,,,,,,,,,,,,,,,,,,, +,Tarennoidea wallichii,"Delavay, J.M.",902,1884-4-8,,,,,,https://image.cvh.ac.cn/files/l/P/P00836457.jpg,,,,,,,,,, +岭罗麦,Tarennoidea wallichii,彭日成,莫水松,刘静等,ML1732,20120719,广西壮族自治区,350,山坡密林,少见,乔木,,https://image.cvh.ac.cn/files/l/IBK/IBK00311769.jpg,,,,,,,,,, +岭罗麦,Tarennoidea wallichii,川经西,130,0,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/327926.jpg,,,,,,,,,, +松柏钝果寄生,Taxillus caloreas,刘正宇,4238,19830627,重庆市,1300,寄生于马尾松树上,,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0037440.jpg,,,,,,,,,, +松柏钝果寄生,Taxillus caloreas,汤庚国,758,19801006,江苏省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00173495.jpg,,,,,,,,,, +松柏钝果寄生,Taxillus caloreas,青藏队,7687,19820626,西藏自治区,2800~2900,山坡 云南松林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01062792.jpg,,,,,,,,,, +显脉钝果寄生,Taxillus caloreas var. fargesii,刘慎谔,22245,19461225,云南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0380690.jpg,,,,,,,,,, +显脉钝果寄生,Taxillus caloreas var. fargesii,戴天伦,103660,19581011,重庆市,980,寄生于丛树上,,无花有果,https://image.cvh.ac.cn/files/l/PE/00891658.jpg,,,,,,,,,, +显脉钝果寄生,Taxillus caloreas var. fargesii,林文豹,389,19580612,湖北省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00891657.jpg,,,,,,,,,, +?锈毛钝果寄生,Taxillus levinei,杨文光,DT7277,20190729,四川,1337,,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1513940.jpg,,,,,,,,,, +锈毛钝果寄生,Taxillus levinei,钟树权,A61253,19551200,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00891767.jpg,,,,,,,,,, +锈毛钝果寄生,Taxillus levinei,,,,,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00173612.jpg,,,,,,,,,, +,Taxillus reflexilobus,,,,,,,,,,,,,,,,,,, +,Taxillus sericus,"Forrest, George",9470,12-Dec,,,,,,https://image.cvh.ac.cn/files/l/E/E00327362.jpg,,,,,,,,,, +龙陵钝果寄生,Taxillus sericus,李延辉,20360,19771017,云南省,1800,沟谷水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01602689.jpg,,,,,,,,,, +龙陵钝果寄生,Taxillus sericus,"郭永杰, 亚吉东, 李小杰, 韩杰",14CS8205,20140412,云南,,干热河谷山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1395413.jpg,,,,,,,,,, +灰毛桑寄生,Taxillus sutchuenensis,郭本兆,2164,1952/3/21,陕西省 ,,,灌木 ,有花无果,https://image.cvh.ac.cn/files/l/WUK/0062446.jpg,,,,,,,,,, +桑寄生,Taxillus sutchuenensis,刘正宇、张军等,RQHZ06431-01,20140926,重庆,914,寄生于枫香树上,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0083492.jpg,,,,,,,,,, +桑寄生,Taxillus sutchuenensis,敖志文等,4015,1958053,吉林省,1780,,寄宿生在辽东栎树枝上,无花无果,https://image.cvh.ac.cn/files/l/NEFI/136002001001001.jpg,,,,,,,,,, +滇藏钝果寄生,Taxillus thibetensis,俞德俊,7489,19310700,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0381424.jpg,,,,,,,,,, +,Taxillus thibetensis,"Soulié, J.A.",1340,1895-6-15,,,,,,https://image.cvh.ac.cn/files/l/P/P00756259.jpg,,,,,,,,,, +滇藏钝果寄生,Taxillus thibetensis,北京所横断山队,3365,19810821,云南省,2900~3400,高山栎林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01486259.jpg,,,,,,,,,, +伞花钝果寄生,Taxillus umbellifer,生态室高原组,14110,19800808,西藏自治区,1500,寄生在油葫芦上,,有花有果,https://image.cvh.ac.cn/files/l/PE/01491334.jpg,,,,,,,,,, +伞花钝果寄生,Taxillus umbellifer,,2377,19381227,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00891966.jpg,,,,,,,,,, +短梗钝果寄生,Taxillus vestitus,青藏队植被组,5189,19750712,西藏自治区,2380,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00043265.jpg,,,,,,,,,, +短梗钝果寄生,Taxillus vestitus,C.W.Wang,66588,19350900,云南省,,Epiphytic on chestnut or tree,,有花无果,https://image.cvh.ac.cn/files/l/PE/00891970.jpg,,,,,,,,,, +短梗钝果寄生,Taxillus vestitus,G.Forrest,12935,,云南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0381449.jpg,,,,,,,,,, +柚木,Tectona grandis,郭永杰,唐培洵,金永明,张娅婕,13CS7721,20130821,克钦邦,252,,乔木,,https://image.cvh.ac.cn/files/l/KUN/1396284.jpg,,,,,,,,,, +柚木,Tectona grandis,Hu & Yung,507,20020828,香港,,,large tree,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00627965.jpg,,,,,,,,,, +柚木,Tectona grandis,"亚吉东, 李涟漪",15CS11495,20151215,云南,,栽培,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1396282.jpg,,,,,,,,,, +,Teloxys aristata,汪劲武 孔世培,165,19570806,北京,500,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0009558.jpg,,,,,,,,,, +,Teloxys aristata,黄河调查队二队,2432,19550908,山西省,,河川旁 陛地 路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01607900.jpg,,,,,,,,,, +,Teloxys aristata,延边二组,497,19590906,吉林,,人家附近,,有花无果,https://image.cvh.ac.cn/files/l/JLSLKY/JLSLKY03210.jpg,,,,,,,,,, +狗舌草,Tephroseris kirilowii,E.E.Maire,1429,19130000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0596219.jpg,,,,,,,,,, +狗舌草,Tephroseris kirilowii,朱有昌,450,19560509,辽宁省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0596204.jpg,,,,,,,,,, +,Tephroseris kirilowii,,外253,19270310,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00852501.jpg,,,,,,,,,, +,Tephroseris rufa var. rufa,,,,,,,,,,,,,,,,,,, +匍枝狗舌草,Tephroseris stolonifera,杨亚滨,4755,1978-6 8,四川省,2100,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0146849.jpg,,,,,,,,,, +匍枝狗舌草,Tephroseris stolonifera,南水北调队,6040,19600620,云南省,2800,阳处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/726520.jpg,,,,,,,,,, +匍枝狗舌草,Tephroseris stolonifera,C.C.Hsieh,40987,,,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/00852696.jpg,,,,,,,,,, +,Ternstroemia gymnanthera,李儒财,龙文兴,LWX20024,20130719,海南,1200.24,热带山地常绿林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1303845.jpg,,,,,,,,,, +厚皮香,Ternstroemia gymnanthera,葛斌杰、黄艳波、周雅萍、安齐,GBJ05853,20180314,浙江,638.35,亚热带常绿与落叶混交林,次生林,林缘,沟谷,乔木 Arbor,无花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0152673.jpg,,,,,,,,,, +厚皮香,Ternstroemia gymnanthera,刘宇、张忠、蔡敏琪、刘羽霞,LXP13-4262,20130730,湖南省株洲市,,山谷、壤土(黄壤)、阴处、河边,陆生、乔木、直立,,https://image.cvh.ac.cn/files/l/SYS/SYS00176064.jpg,,,,,,,,,, +,Tetracme pamirica,,s.n.,,新疆维吾尔自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01122493.jpg,,,,,,,,,, +臭檀吴萸,Tetradium daniellii,张代贵,ZB130720441,20130720,湖南湘西州,,山地疏林,乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU25441.jpg,,,,,,,,,, +,Tetradium daniellii,林坚,SCSB-A-0037,20070915,河北省,,山坡,路边,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1371803.jpg,,,,,,,,,, +臭檀吴萸,Tetradium daniellii,鞠文彬,张良,陈德奎,AZH01135,20160615,四川,2008,阔叶林中,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0254729.jpg,,,,,,,,,, +,Tetradium fraxinifolium,胡君,熊豫宁,陈庆恒,王东超,HJ05414,20151013,西藏自治区,2800,公路旁,山坡下,落叶乔木,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00594457.jpg,,,,,,,,,, +,Tetradium fraxinifolium,"Yü, Tse-tsun",20510,28-Sep-38,,,,,,https://image.cvh.ac.cn/files/l/E/E00120126.jpg,,,,,,,,,, +,Tetradium fraxinifolium,"赵金超,杨红强,肖美芳",CYNGH315,20131021,云南省,2159,中山常绿阔叶林,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1332057.jpg,,,,,,,,,, +楝叶吴萸,Tetradium glabrifolium,代天伦,105787,19570724,四川省,1150,灌木林中,少见,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00275579.jpg,,,,,,,,,, +楝叶吴萸,Tetradium glabrifolium,吴磊、李雄、刘昂、刘文剑,8553,20190916,湖南,1200~1350,山坡密林,木本,无花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI065650.jpg,,,,,,,,,, +楝叶吴萸,Tetradium glabrifolium,张代贵,Q223053,20160816,湖南湘西州,,湿润地方,灌木,有花有果,https://image.cvh.ac.cn/files/l/JIU/JIU52303.jpg,,,,,,,,,, +密果吴萸,Tetradium ruticarpum,张思宇,朱科润,邵剑文,ZSY0126,20200817,安徽,750,山坡林地,草本,无花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0205552.jpg,,,,,,,,,, +吴茱萸,Tetradium ruticarpum,张代贵,1007134009,20100713,湖南湘西州,,,小乔木或灌木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU21552.jpg,,,,,,,,,, +密果吴萸,Tetradium ruticarpum,"朱鑫鑫, 石琳琳, 段帅帅, 胡梦杰, 吕擎",ZXX18655,20181012,湖北,639,亚热带,路边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1449635.jpg,,,,,,,,,, +蜜楝吴萸,Tetradium trichotomum,贵州队,4096,19600609,贵州省,1200,山坡密林中,乔木,,https://image.cvh.ac.cn/files/l/IBK/IBK00332835.jpg,,,,,,,,,, +,Tetradium trichotomum,Li-Jianwu,3388,20130626,云南省,1700,evergreen broad-leaved forest,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1252223.jpg,,,,,,,,,, +蜜楝吴萸,Tetradium trichotomum,平乐县普查队,450330180808016LY,20180808,广西,342,阔叶林,沟边,黄棕壤,多野生,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00412899.jpg,,,,,,,,,, +,Tetraphylloides bengalensis,,,,,,,,,,,,,,,,,,, +,Tetrapilus gamblei,,,,,,,,,,,,,,,,,,, +,Teucrium grandifolium,,,,,,,,,,,,,,,,,,, +铁轴草,Teucrium quadrifarium,刘恩德、方伟、朱鑫鑫、孙增朋等,LiuED6822,20161209,云南,,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1511295.jpg,,,,,,,,,, +铁轴草,Teucrium quadrifarium,,1020,19780820,四川,1420,,多年生草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM717308241.jpg,,,,,,,,,, +铁轴草,Teucrium quadrifarium,吴征镒,6333,19581129,缅甸,1300,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/821872.jpg,,,,,,,,,, +裂苞香科科,Teucrium veronicoides,李培元,8526,1959/7/29,陕西省,1700,,草本,有花有果,https://image.cvh.ac.cn/files/l/WUK/0136313.jpg,,,,,,,,,, +裂苞香科科,Teucrium veronicoides,安江农校,668,19530418,湖南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00905473.jpg,,,,,,,,,, +裂苞香科科,Teucrium veronicoides,马关县普查队,5326250807,20150604,云南省,1381,针阔叶混交林,多年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0035695.jpg,,,,,,,,,, +,Teucrium viscidum,Fumihiro Konta,24566,20050919,,40,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01966135.jpg,,,,,,,,,, +微毛血见愁,Teucrium viscidum,H.Y.Hu,10705,19700726,香港,2200,bank of a ditch,,有花无果,https://image.cvh.ac.cn/files/l/PE/00905467.jpg,,,,,,,,,, +血见愁,Teucrium viscidum,,742,19830812,福建省,,,,有花无果,https://image.cvh.ac.cn/files/l/FJFC/FJFC0001548.jpg,,,,,,,,,, +,Teucrium wattii,,,,,,,,,,,,,,,,,,, +田野百蕊草,Thesium arvense,周太炎等,650562,19650601,新疆维吾尔自治区,1600,"河汇合处,山坡草地",草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0565451.jpg,,,,,,,,,, +田野百蕊草,Thesium arvense,Barina Z.,8978,20050923,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01900936.jpg,,,,,,,,,, +华北百蕊草,Thesium cathaicum,C.Y.Chiao,2918,19300814,山东省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0382881.jpg,,,,,,,,,, +华北百蕊草,Thesium cathaicum,王新光,111,19590529,西藏自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/067040253.jpg,,,,,,,,,, +,Thesium cathaicum,"Clemens, Mary Strong",8040B,26-Jun-13,,,,,,https://image.cvh.ac.cn/files/l/E/E00346128.jpg,,,,,,,,,, +百蕊草,Thesium chinense,"李安仁,朱家柟",8583,19580809,新疆维吾尔自治区,,干老河岸边,芦苇丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114168.jpg,,,,,,,,,, +百蕊草,Thesium chinense,"崔顺昌,鞠维江",631,19650516,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114105.jpg,,,,,,,,,, +百蕊草,Thesium chinense,梁畴芬,31110,19531123,广西壮族自治区,,荒地草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114130.jpg,,,,,,,,,, +藏南百蕊草,Thesium emodi,PE西藏考察队,7340,20180616,西藏自治区,3631,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02331985.jpg,,,,,,,,,, +藏南百蕊草,Thesium emodi,青藏队,5148,19810823,四川省,4400,高原 山坡 灌丛,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062722.jpg,,,,,,,,,, +藏南百蕊草,Thesium emodi,青藏队,2751,19810714,云南省,4200~4400,高山 灌丛 草地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01062719.jpg,,,,,,,,,, +西域百蕊草,Thesium himalense,魏升华、孙庆文等,31002049,20031003,贵州省,2700,山坡、灌丛,草本,无花无果,https://image.cvh.ac.cn/files/l/GZTM/0005996.jpg,,,,,,,,,, +,Thesium himalense,侯宽昭,74277,19391230,云南省 ,,,细的草本,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00300957.jpg,,,,,,,,,, +露柱百蕊草,Thesium himalense,青藏队植被组,8469,19760621,西藏自治区,3850,阴坡草甸灌丛中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00043257.jpg,,,,,,,,,, +长叶百蕊草,Thesium longifolium,陕甘队,10376,19530802,陕西省,,川地,平原,草本直立,有花无果,https://image.cvh.ac.cn/files/l/SHM/SHM0009051.jpg,,,,,,,,,, +长叶百蕊草,Thesium longifolium,宁自学、于同棠,110,19780613,,,,,有花无果,https://image.cvh.ac.cn/files/l/PEM/PEM0000978.jpg,,,,,,,,,, +长叶百蕊草,Thesium longifolium,3组,26,19860701,河北,2116,,直立草本,多年生本寄生,,https://image.cvh.ac.cn/files/l/PEY/PEY0031064.jpg,,,,,,,,,, +急折百蕊草,Thesium refractum,普查标本,29356,19590800,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00890884.jpg,,,,,,,,,, +急折百蕊草,Thesium refractum,汤宗孝,965,19830607,四川省,2650,山坡灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01605554.jpg,,,,,,,,,, +急折百蕊草,Thesium refractum,青甘队,2884,19600704,青海省,2550,半阴坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/02114084.jpg,,,,,,,,,, +黄花夹竹桃,Thevetia peruviana,刘正宇,14001,19950716,重庆市,620,房前栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/00993220.jpg,,,,,,,,,, +黄花夹竹桃,Thevetia peruviana,勐海普查队,5328220223,20120503,云南省,1434,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0026180.jpg,,,,,,,,,, +黄花夹竹桃,Thevetia peruviana,王友明、王茂才,87-6-598,19870600,贵州,300,栽培,常绿落木、有乳汁,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0070332.jpg,,,,,,,,,, +菥蓂,Thlaspi arvense,路端正,,19850501,北京,,,,有花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00035868.jpg,,,,,,,,,, +,Thlaspi arvense,,16,19500524,察哈尔省,,,,有花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00012104.jpg,,,,,,,,,, +菥蓂,Thlaspi arvense,黄土高原队,4407,19841003,内蒙古,2200,山坡草地,草本直立,无花有果,https://image.cvh.ac.cn/files/l/WUK/WUK0454512.jpg,,,,,,,,,, +,Thlaspi montanum,W.Hess,2517,19690524,,2733,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01123114.jpg,,,,,,,,,, +翼叶山牵牛,Thunbergia alata,,589,,海南省 ,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0562127.jpg,,,,,,,,,, +,Thunbergia alata,杨玉庚,5945,19731012,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0050987.jpg,,,,,,,,,, +翼叶山牵牛,Thunbergia alata,Tsiang Ying,1791,19290429,广东省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/265150160.jpg,,,,,,,,,, +红花山牵牛,Thunbergia coccinea,H.Ohashi,72722,19720722,Ranchi,2100,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/427202.jpg,,,,,,,,,, +红花山牵牛,Thunbergia coccinea,C.W.Wang,78410,19360900,云南省 ,1900,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00102667.jpg,,,,,,,,,, +红花山牵牛,Thunbergia coccinea,Hideo Tabata,8588,19761030,Topke Gola,0,,,有花有果,https://image.cvh.ac.cn/files/l/KUN/427203.jpg,,,,,,,,,, +山牵牛,Thunbergia grandiflora,谢月英、农东新、彭玉德,451481151010033LY,20151010,广西壮族自治区,378,阔叶林,沟边,黄棕壤,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0177174.jpg,,,,,,,,,, +山牵牛,Thunbergia grandiflora,anonymous,s.n.,0,,,,,有花无果,https://image.cvh.ac.cn/files/l/HTC/HTC0010551.jpg,,,,,,,,,, +山牵牛,Thunbergia grandiflora,施梦华,SMH0001,20180816,湖南,,,草质藤本,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI074135.jpg,,,,,,,,,, +囊种草,Thylacospermum caespitosum,"李渤生,李辉",13987,19901004,西藏自治区,5200~5400,冰碛砾石坡上局部优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/01487463.jpg,,,,,,,,,, +囊种草,Thylacospermum caespitosum,李渤生,11779,19880630,新疆维吾尔自治区,5100~5600,高山冰缘植被带中局部优势,,有花无果,https://image.cvh.ac.cn/files/l/PE/01352337.jpg,,,,,,,,,, +囊种草,Thylacospermum caespitosum,郭柯,K-193,19900808,青海省,4900,山间谷地第三系冰积物,,有花无果,https://image.cvh.ac.cn/files/l/PE/02060119.jpg,,,,,,,,,, +阿尔泰百里香,Thymus altaicus,中德考察队,35949,19870819,坦桑尼亚,900~850,mite and limestone.,,有花无果,https://image.cvh.ac.cn/files/l/KUN/211228.jpg,,,,,,,,,, +阿尔泰百里香,Thymus altaicus,,7412,19830731,Baden-wurttemberg,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/822021.jpg,,,,,,,,,, +阿尔泰百里香,Thymus altaicus,青藏队,8452,19760714,西藏自治区,4000,山坡草地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/822003.jpg,,,,,,,,,, +,Thymus linearis,泛喜马拉雅植物志巴基斯坦采集队,FPH-0699,20120624,,3800~4010,"Forest(Picea,Abies,Pinus),Alpine meadow",,有花无果,https://image.cvh.ac.cn/files/l/PE/02004640.jpg,,,,,,,,,, +线叶百里香,Thymus linearis,魏来、何毅,BNUXZ2016066,20160716,西藏,4165,路边灌草丛,,,https://image.cvh.ac.cn/files/l/BNU/0028301.jpg,,,,,,,,,, +,Thymus linearis,"李渤生,李辉,阳艺",13914,19900920,西藏自治区,3500~4000,Betula 及Sabina 丛间草地时见,,有花无果,https://image.cvh.ac.cn/files/l/PE/01196408.jpg,,,,,,,,,, +,Thymus quinquecostatus,陶玉华,74,19900701,甘肃,,山坡,亚灌木,有花无果,https://image.cvh.ac.cn/files/l/QYTC/QYTC0005849.jpg,,,,,,,,,, +亚洲百里香,Thymus quinquecostatus,C.O.Lee,6007,19240722,江苏省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00905895.jpg,,,,,,,,,, +亚洲百里香,Thymus quinquecostatus,徐诚俞,7,19600700,青海省,,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00905458.jpg,,,,,,,,,, +华椴,Tilia chinensis,,192,19561102,内蒙古自治区,0,,,有花无果,https://image.cvh.ac.cn/files/l/N/108174205.jpg,,,,,,,,,, +华椴,Tilia chinensis,T.N.Liou & P.C.Tsoong,317,19370827,陕西省,2300,,,无花无果,https://image.cvh.ac.cn/files/l/PE/01610432.jpg,,,,,,,,,, +华椴,Tilia chinensis,李思锋,黎斌,张莹等,11549,2008/8/11,陕西,1186,山谷疏林中,小乔木,无花有果,https://image.cvh.ac.cn/files/l/WUK/522579.jpg,,,,,,,,,, +飞龙掌血,Toddalia asiatica,赵万义、叶矾、张信坚,LXP-13-25371,20171218,湖南,561,山谷、腐殖土、疏林,陆生、藤本、攀援状,有花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00202648.jpg,,,,,,,,,, +飞龙掌血,Toddalia asiatica,张代贵、王业清、朱晓琴,2310,20170818,湖北宜昌,1162,针阔混交林下灌丛,藤本,无花有果,https://image.cvh.ac.cn/files/l/JIU/HHE09205.jpg,,,,,,,,,, +,Toddalia asiatica,张志英,16626,19630813,甘肃,1000,山坡灌林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/PE/02251126.jpg,,,,,,,,,, +,Tolypanthus involucratus,,,,,,,,,,,,,,,,,,, +大东俄芹,Tongoloa elata,俞德浚,17922,19381006,云南省,2500,grassy slope,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0465985.jpg,,,,,,,,,, +大东俄芹,Tongoloa elata,孙学刚等,20010549,20010821,甘肃,2400,沟谷柳灌丛草地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01808940.jpg,,,,,,,,,, +大东俄芹,Tongoloa elata,鞠文彬,郑臣臣,THP-KD-5564,20170806,四川,4163,草地灌丛坡地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0242084.jpg,,,,,,,,,, +,Tongoloa rockii,"Rock, Joseph Francis Charles",9758,23-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00000521.jpg,,,,,,,,,, +,Tongoloa rockii,ACE,1287,19940925,云南省,4675,In rocky areas and amongst screes,,有花无果,https://image.cvh.ac.cn/files/l/PE/00755697.jpg,,,,,,,,,, +条叶东俄芹,Tongoloa taeniophylla,,50,19830907,四川省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/069837.jpg,,,,,,,,,, +条叶东俄芹,Tongoloa taeniophylla,Ikeda,714093,20070817,甘肃,3920~4000,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00024688.jpg,,,,,,,,,, +条叶东俄芹,Tongoloa taeniophylla,,1027,19550803,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00033812.jpg,,,,,,,,,, +,Tongoloa tenuifolia,,11782,19380901,云南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0065292.jpg,,,,,,,,,, +细叶东俄芹,Tongoloa tenuifolia,王作宾,14809,1951/8/14,甘肃,3700,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0034040.jpg,,,,,,,,,, +细叶东俄芹,Tongoloa tenuifolia,李馨,72205,19570817,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00129275.jpg,,,,,,,,,, +红椿,Toona ciliata,余丽莹、黄雪彦、彭玉德,451031150313083LY,20150313,广西,1117,阔叶林,沟边,黄棕壤,,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0190066.jpg,,,,,,,,,, +红椿,Toona ciliata,肖运峰,谢文忠,398,19810608,安徽省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0421511.jpg,,,,,,,,,, +红椿,Toona ciliata,李洪钧,5398,,湖北省,500,山岩下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01168230.jpg,,,,,,,,,, +香椿,Toona sinensis,殷建涛,李剑武,1906,20101209,云南,1000,路边次生林,乔木,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0030284.jpg,,,,,,,,,, +香椿,Toona sinensis,"傅国勋,张志松",1669,19570924,湖北省,,山坡路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/01168396.jpg,,,,,,,,,, +香椿,Toona sinensis,陈少卿,17862,19610407,海南省,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0421588.jpg,,,,,,,,,, +紫椿,Toona sureni,广福林区调查队,150,19551124,广西壮族自治区,720,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0421642.jpg,,,,,,,,,, +紫椿,Toona sureni,李洪钧,5398,,湖北省,500,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0421652.jpg,,,,,,,,,, +紫椿,Toona sureni,昆明工作站,203/11,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0421643.jpg,,,,,,,,,, +长叶蝴蝶草,Torenia asiatica,"朱鑫鑫,王君,王美华",ZXX211991,20211012,安徽,460,田地边,一年生草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0223121.jpg,,,,,,,,,, +光叶蝴蝶草,Torenia asiatica,方震东、和光,XZ-346,20070925,西藏自治区,2517,高山栎林,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003414.jpg,,,,,,,,,, +长叶蝴蝶草,Torenia asiatica,宋鼎;张桥蓉;赵国放;张辽;杨斌,CN356,20190804,云南,2063,林中,多年生匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551131.jpg,,,,,,,,,, +,Torenia diffusa,,,,,,,,,,,,,,,,,,, +紫萼蝴蝶草,Torenia violacea,勐腊普查队,5328230705,20150907,云南省,1050.1,灌丛,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0032055.jpg,,,,,,,,,, +紫色翼萼,Torenia violacea,路端正,,20000913,江苏,,,,,https://image.cvh.ac.cn/files/l/BJFC/00019117.jpg,,,,,,,,,, +紫萼蝴蝶草,Torenia violacea,邓文英等,514,19851011,湖南省,550,山地,,有花无果,https://image.cvh.ac.cn/files/l/HUFD/0000588.jpg,,,,,,,,,, +山紫草,Tournefortia montana,张婷婷,72,20100531,河南省,,"生于海拔50米至2500米的地区,多生长在山坡草地,干燥多石的灌丛中.",,有花有果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0004320.jpg,,,,,,,,,, +紫丹,Tournefortia montana,董青松、韦树根、柯芳,451423130327003LY,20130327,广西壮族自治区,183.8,灌丛、草丛、沟边、林缘、黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0169743.jpg,,,,,,,,,, +紫丹,Tournefortia montana,郭绍荣,,,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/IMDY/IMDY0019659.jpg,,,,,,,,,, +,Tournefortia ovata,,,,,,,,,,,,,,,,,,, +西藏弓果藤,Toxocarpus himalensis,吴磊、陈丰林,6440,20180510,贵州,,,藤状灌木,有花无果,https://image.cvh.ac.cn/files/l/CSFI/CSFI067158.jpg,,,,,,,,,, +西藏弓果藤,Toxocarpus himalensis,万秀区普查队,450403190731008LY,20190731,广西,235,针阔混交林,林下,黄棕壤;一般;野生,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00432670.jpg,,,,,,,,,, +西藏弓果藤,Toxocarpus himalensis,李延辉,10405,,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/035651.jpg,,,,,,,,,, +亚洲络石,Trachelospermum asiaticum,黄俞松、吴磊等,LYJX1216,20101123,广西壮族自治区,810,路边,石山,,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0097987.jpg,,,,,,,,,, +亚洲络石,Trachelospermum asiaticum,,s.n.,,台湾省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0479945.jpg,,,,,,,,,, +,Trachelospermum asiaticum,标本馆同仁,615,20170516,浙江,,山路边,岩石缝,木质藤本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00603147.jpg,,,,,,,,,, +紫花络石,Trachelospermum axillare,青藏队,304,19730804,西藏自治区,2100,,,无花有果,https://image.cvh.ac.cn/files/l/SXU/SD00016764.jpg,,,,,,,,,, +,Trachelospermum axillare,"Cavalerie, Pierre Julien",2972,8-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00126476.jpg,,,,,,,,,, +紫花络石,Trachelospermum axillare,李晓腾,70720001,20070720,湖南省,,林下,灌木,有花有果,https://image.cvh.ac.cn/files/l/JIU/JIU17298.jpg,,,,,,,,,, +贵州络石,Trachelospermum bodinieri,R.C.Ching,1869,19240607,浙江省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0480136.jpg,,,,,,,,,, +贵州络石,Trachelospermum bodinieri,刘心祈,28355,19361210,海南省,0,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/335445.jpg,,,,,,,,,, +贵州络石,Trachelospermum bodinieri,建水县普查队,5325240630,20190906,云南,2164,林缘,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1524914.jpg,,,,,,,,,, +短柱络石,Trachelospermum brevistylum,蓝开敏,851067,19850522,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0009787.jpg,,,,,,,,,, +短柱络石,Trachelospermum brevistylum,谭策铭、易发彬、陈琳、姜向锐、刘以珍,4522,20040912,江西省,,,,无花无果,https://image.cvh.ac.cn/files/l/JJF/00008758.jpg,,,,,,,,,, +短柱络石,Trachelospermum brevistylum,李泽文,,20100413,海南省 ,600~1100,,,有花无果,https://image.cvh.ac.cn/files/l/GNUG/GNUG0007227.jpg,,,,,,,,,, +石血,Trachelospermum jasminoides,,1845,19590517,安徽省,500,,藤本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00207586.jpg,,,,,,,,,, +络石,Trachelospermum jasminoides,王彩玲,津01024,19800704,天津市,,栽培,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00026450.jpg,,,,,,,,,, +络石,Trachelospermum jasminoides,四川植物调查队,323,1965/7/22,重庆,1100,,藤本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0262806.jpg,,,,,,,,,, +,Trachelospermum lucidum,M.Suzuki et al.,9193372,19910822,,1670,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01435276.jpg,,,,,,,,,, +裂苞瘤果芹,Trachydium involucellatum,"李渤生,倪志诚,程树志",6373,19830809,西藏自治区,4200,高山草甸中,,有花无果,https://image.cvh.ac.cn/files/l/PE/00931498.jpg,,,,,,,,,, +裂苞瘤果芹,Trachydium involucellatum,Yarlung Zangbo Expedition Team (雅鲁藏布考察队) [Yong YAN,679,20120805,西藏,,灌丛下,草本,有花无果,https://image.cvh.ac.cn/files/l/BJM/0230530.jpg,,,,,,,,,, +裂苞瘤果芹,Trachydium involucellatum,秦仁昌,30549,19390820,云南省,0,on open pasture,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0466299.jpg,,,,,,,,,, +单叶瘤果芹,Trachydium simplicifolium,,7559,19220000,云南省 ,4000,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00064648.jpg,,,,,,,,,, +单叶瘤果芹,Trachydium simplicifolium,"朱鑫鑫, 王君, 林庶, 胡梦杰",ZXX191474,20190926,云南,4258,亚热带,高山草甸,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1483402.jpg,,,,,,,,,, +单叶瘤果芹,Trachydium simplicifolium,海仙,刘景欣,李红,肖茂荣,HB2007-178,20070930,云南省,3300,冷杉林群落,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 004371.jpg,,,,,,,,,, +豚草叶糙果芹,Trachyspermum scaberulum var. ambrosiifolium,荔波队,1524,19590806,贵州省,,山脚阳处草地路旁,,有花无果,https://image.cvh.ac.cn/files/l/PE/00780155.jpg,,,,,,,,,, +豚草叶糙果芹,Trachyspermum scaberulum var. ambrosiifolium,潘泽惠,等,84-48,19840910,云南省,2300,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00034304.jpg,,,,,,,,,, +豚草叶糙果芹,Trachyspermum scaberulum var. ambrosiifolium,李馨,78048,1958/7/6,四川,2250,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0234870.jpg,,,,,,,,,, +,Trachyspermum scaberulum var. scaberulum,,,,,,,,,,,,,,,,,,, +马尔康糙果芹,Trachyspermum triradiatum,岳俊三,等,64092,19640901,四川省,3100,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00040504.jpg,,,,,,,,,, +马尔康糙果芹,Trachyspermum triradiatum,,75,,,,灌木林,,有花有果,https://image.cvh.ac.cn/files/l/SM/SM715006769.jpg,,,,,,,,,, +马尔康糙果芹,Trachyspermum triradiatum,郭本兆 王为义,22927,19770819,西藏自治区,3200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/67653.jpg,,,,,,,,,, +草地婆罗门参,Tragopogon pratensis,李安仁等,10713,19590621,新疆维吾尔自治区,540,干旱荒地,,有花无果,https://image.cvh.ac.cn/files/l/KUN/739754.jpg,,,,,,,,,, +婆罗门参,Tragopogon pratensis,,3636,62.07.20,新疆维吾尔自治区 ,1800,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00044086.jpg,,,,,,,,,, +婆罗门参,Tragopogon pratensis,莫瑞玲、黎宁芬、黄颖锋,17395,20080312,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0047551.jpg,,,,,,,,,, +准噶尔婆罗门参,Tragopogon songoricus,关克俭,3664,57.08.18,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00044128.jpg,,,,,,,,,, +准格尔婆罗门参,Tragopogon songoricus,,770298,19770727,新疆,2800,,,,https://image.cvh.ac.cn/files/l/BJM/169864.jpg,,,,,,,,,, +准噶尔婆罗门参,Tragopogon songoricus,,393,820705,,2650,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/20024534.jpg,,,,,,,,,, +,Treutlera insignis,,,,,,,,,,,,,,,,,,, +假酸浆,Trichodesma khasianum,Shu-Mei Liu,69,19951205,台湾省,200,On semi-shaded roadside.,,无花有果,https://image.cvh.ac.cn/files/l/PE/00024861.jpg,,,,,,,,,, +,Tricholepis tibetica,,,,,,,,,,,,,,,,,,, +粟米草,Trigastrotheca stricta,无,,,江西,,,,有花有果,https://image.cvh.ac.cn/files/l/JXCM/JXCM0008111.jpg,,,,,,,,,, +定结附地菜,Trigonotis dingjieensis,PE-西藏队,3489,20130715,西藏自治区,4151,林缘湿地,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099730.jpg,,,,,,,,,, +毛花附地菜,Trigonotis heliotropifolia,H.T.Tsai,52904,19330716,云南省,2400,in ravine,,有花无果,https://image.cvh.ac.cn/files/l/PE/01361535.jpg,,,,,,,,,, +毛花附地菜,Trigonotis heliotropifolia,Sino-Amer. Bot. Exped.(1984),99,19840615,云南,2600~2800,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00431106.jpg,,,,,,,,,, +,Trigonotis heliotropifolia,H. R. E. Handel-Mazzetti,3344,1914/6/30,,,,,,https://image.cvh.ac.cn/files/l/HUH/GH00015292.jpg,,,,,,,,,, +毛脉附地菜,Trigonotis microcarpa,李红、白洪兵,533324180910795LY,20180910,云南,1739,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009444.jpg,,,,,,,,,, +毛脉附地菜,Trigonotis microcarpa,黄雪彦、农东新、姚积军,451028130423053LY,20130423,广西,1350,阔叶林,林下,黄棕壤,草本,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0142349.jpg,,,,,,,,,, +毛脉附地菜,Trigonotis microcarpa,许为斌、蒋日红,10806,20100619,广西壮族自治区,1000,石灰岩山坡阔叶林,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00222979.jpg,,,,,,,,,, +,Trigonotis motuoensis,,,,,,,,,,,,,,,,,,, +附地菜,Trigonotis peduncularis,张代贵,YH080503246,20080503,湖南益阳,,阔叶林下,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU44246.jpg,,,,,,,,,, +附地菜,Trigonotis peduncularis,黄迎新,348,20150720,黑龙江省齐齐哈尔市,149,草甸/盐化低地草甸/黑钙土/沙土,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0228642.jpg,,,,,,,,,, +附地菜,Trigonotis peduncularis,粤73,860,19730607,广东省,600,山地路旁,,无花无果,https://image.cvh.ac.cn/files/l/HGAS/HGAS0074352.jpg,,,,,,,,,, +大花附地菜,Trigonotis peduncularis var. macrantha,马赛,282,1959/5/31,山西省,,,草本,无花无果,https://image.cvh.ac.cn/files/l/WUK/0326693.jpg,,,,,,,,,, +大花附地菜,Trigonotis peduncularis var. macrantha,王启无,65462,19350800,西藏自治区,2600,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01360282.jpg,,,,,,,,,, +大花附地菜,Trigonotis peduncularis var. macrantha,许东先,XLM20150901-3,20150901,北京市,,路边石缝底处,,,https://image.cvh.ac.cn/files/l/BNU/0019662.jpg,,,,,,,,,, +,Trigonotis rotundifolia,George Forrest,20519,1922,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU047827.jpg,,,,,,,,,, +,Trigonotis rotundifolia,,5783,19100600,云南省 ,0,,Plant,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0557831.jpg,,,,,,,,,, +西藏附地菜,Trigonotis tibetica,F.Miyamoto etc.,9580205,19950805,,4000,on grassland slopes,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1224753.jpg,,,,,,,,,, +西藏附地菜,Trigonotis tibetica,李振宇等,87-1898,19870820,四川省,800,,,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/008762.jpg,,,,,,,,,, +西藏附地菜,Trigonotis tibetica,许雪敏 刘丹辉,BNU2019XZ408,20190611,西藏,3731,路边山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/BNU/0049447.jpg,,,,,,,,,, +莛子藨,Triosteum pinnatifidum,T.P.Wang,1711,19330803,陕西省,2700,,,无花有果,https://image.cvh.ac.cn/files/l/NKU/NK 010965.jpg,,,,,,,,,, +莛子藨,Triosteum pinnatifidum,刘丹辉,170066,20170621,云南省,2950,山坡落丛,,有花无果,https://image.cvh.ac.cn/files/l/BNU/0040009.jpg,,,,,,,,,, +莛子藨,Triosteum pinnatifidum,余奇;孙奇;邓亨宁,CIBYQ107B006,20200623,四川,2602,,草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1563093.jpg,,,,,,,,,, +直果草,Triphysaria chinensis,秦仁昌,2033,19560818,新疆维吾尔自治区,1500,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00295545.jpg,,,,,,,,,, +直果草,Triphysaria chinensis,"J.Murata,H.T.Im,",105207,19830521,本州,900~800,deciduous forest along stream,,有花无果,https://image.cvh.ac.cn/files/l/KUN/478408.jpg,,,,,,,,,, +直果草,Triphysaria chinensis,Fred H.Utech,650,19910704,,375,Mesic seepage slope,,有花无果,https://image.cvh.ac.cn/files/l/KUN/701525.jpg,,,,,,,,,, +碱菀,Tripolium pannonicum,杨文光,DT7565,20190910,云南,385,路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1514912.jpg,,,,,,,,,, +碱菀,Tripolium pannonicum,李宏庆等,SDP18446,20111112,上海市,,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0029243.jpg,,,,,,,,,, +,Tripolium pannonicum,老铁山采集队,684,20081003,辽宁省,16,海边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01894574.jpg,,,,,,,,,, +双蝴蝶,Tripterospermum fasciculatum,杨仕煊,120,19850813,湖北省,1750,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0533069.jpg,,,,,,,,,, +尼泊尔双蝴蝶,Tripterospermum volubile,李红、和仕波,533324180830582LY,20180830,云南,1920,,草本,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009318.jpg,,,,,,,,,, +细茎双蝴蝶,Tripterospermum volubile,,3404,19720827,浙江省,,,,,https://image.cvh.ac.cn/files/l/ZM/ZMNH0030068.jpg,,,,,,,,,, +尼泊尔双蝴蝶,Tripterospermum volubile,植被组,31496,1983-9 8,四川省,2400,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0117023.jpg,,,,,,,,,, +单毛刺蒴麻,Triumfetta annua,戴天伦,103408,19581006,重庆市,585,生于草坪中,,有花无果,https://image.cvh.ac.cn/files/l/PE/01333203.jpg,,,,,,,,,, +单毛刺蒴麻,Triumfetta annua,喻勋林、刘昂、邓创发,YK0066,20191111,湖南,400,路边林缘,,有花有果,https://image.cvh.ac.cn/files/l/CSFI/CSFI064819.jpg,,,,,,,,,, +单毛刺蒴麻,Triumfetta annua,江西调查队,1577,19540924,江西省,500,山坡山谷灌木丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01574533.jpg,,,,,,,,,, +毛刺蒴麻,Triumfetta cana,安顺队,1830,19590909,贵州省,1800,山谷,路旁,密林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/02226962.jpg,,,,,,,,,, +毛刺蒴麻,Triumfetta cana,"简焯坡,应俊生,马成功,李雅茹等",401754,19641005,福建省,400,山坡,常绿阔叶林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/02226968.jpg,,,,,,,,,, +毛刺蒴麻,Triumfetta cana,"税玉民,陈文红,盛家舒",30043,20021002,云南省,,次生林缘路边,,有花无果,https://image.cvh.ac.cn/files/l/PE/02226966.jpg,,,,,,,,,, +,Triumfetta obliqua,,,,,,,,,,,,,,,,,,, +长勾刺蒴麻,Triumfetta pilosa,李莉,20161106071,20161106,江西,,路边,水沟,,无花有果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0012733.jpg,,,,,,,,,, +长勾刺蒴麻,Triumfetta pilosa,楚永兴,Pbdws067,20081101,云南,,无,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/1310039.jpg,,,,,,,,,, +长勾刺蒴麻,Triumfetta pilosa,杨筑筑,张银,秦运芝,覃必伍,261,20190918,湖南,462,路边、杂草丛,草本,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0204164.jpg,,,,,,,,,, +刺蒴麻,Triumfetta rhomboidea,叶华谷、邢福武,9095,20030923,澳门,130,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0252185.jpg,,,,,,,,,, +刺蒴麻,Triumfetta rhomboidea,攀枝花苏铁考察队,482,20100914,四川省,1505,水边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01879708.jpg,,,,,,,,,, +刺蒴麻,Triumfetta rhomboidea,,12115,,江西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/LBG/00101534.jpg,,,,,,,,,, +旱金莲,Tropaeolum majus,曹子余,319,19580813,贵州省,1400,栽培,,有花有果,https://image.cvh.ac.cn/files/l/PE/00965016.jpg,,,,,,,,,, +旱金莲,Tropaeolum majus,朱鑫鑫;王君;王美华;许敏;多吉;尼玛顿珠,ZXX201461,20200803,西藏,2661,屋边,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509349.jpg,,,,,,,,,, +旱金莲,Tropaeolum majus,陈少卿,7037,19501219,广东省,,栽培 密荫,,有花有果,https://image.cvh.ac.cn/files/l/PE/00965018.jpg,,,,,,,,,, +龙珠,Tubocapsicum anomalum,黄德富,1896,19820905,贵州省,720,山腰阴处潮湿地密林下,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00029427.jpg,,,,,,,,,, +龙珠,Tubocapsicum anomalum,"朱鑫鑫,王君,肖波,赵权龙",ZXX19005,20190101,云南,1033,热带季雨林,林中,多年生草本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1439243.jpg,,,,,,,,,, +龙珠,Tubocapsicum anomalum,严增南,10382,19530808,上海市,,,,无花有果,https://image.cvh.ac.cn/files/l/HHBG/HZ056862.jpg,,,,,,,,,, +多蕊木,Tupidanthus calyptratus,J.F.ROCK,2757,19230300,云南省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/121227344.jpg,,,,,,,,,, +多蕊木,Tupidanthus calyptratus,,917,19870614,贵州省,1040,生于山地疏林下,藤本,无花无果,https://image.cvh.ac.cn/files/l/GZTM/0028199.jpg,,,,,,,,,, +多蕊木,Tupidanthus calyptratus,"蔡杰, 杨雪飞, 杨珺, Tial Cung Ling",15CS10799,20151226,,1130,Climbing on huge fig tree.,木质藤本,无花有果,https://image.cvh.ac.cn/files/l/KUN/1444921.jpg,,,,,,,,,, +款冬,Tussilago farfara,张代贵,YD11024,20090518,湖北神农架,,林下,,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU61394.jpg,,,,,,,,,, +款冬,Tussilago farfara,罗东亮,QYTC20150329016,20150329,甘肃,,,,有花无果,https://image.cvh.ac.cn/files/l/QYTC/QYTC0005031.jpg,,,,,,,,,, +款冬,Tussilago farfara,蒙药普查队,7,19750723,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/HIMC/0030491.jpg,,,,,,,,,, +通天连,Tylophora koi,"赵秀英,罗金裕等",65159,19790705,广西壮族自治区,,,藤本,无花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI031891.jpg,,,,,,,,,, +通天连,Tylophora koi,,768,19580520,江西省,850,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0521805.jpg,,,,,,,,,, +通天连,Tylophora koi,高锡朋,51732,1931.8.3.,广东,,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0005778.jpg,,,,,,,,,, +,Tylophora longifolia,,,,,,,,,,,,,,,,,,, +娃儿藤,Tylophora ovata,鹿寨县普查队,450223180914066LY,20180914,广西,210,灌丛,阳坡,石灰土,一般;野生,藤本,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00417611.jpg,,,,,,,,,, +娃儿藤,Tylophora ovata,唐国旺,李紫默,TangGW1179,20210311,海南,5,热带季风阔叶林路边,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1559305.jpg,,,,,,,,,, +娃儿藤,Tylophora ovata,罗礼全 蒙锡华,,19861124,贵州,,中低山,路旁、阴处,多年生藤本,无花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0071077.jpg,,,,,,,,,, +贵州娃儿藤,Tylophora silvestris,P.C. Tsoong,3363,,,,,藤本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0052791.jpg,,,,,,,,,, +贵州娃儿藤,Tylophora silvestris,,8507,19131013,江苏,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00209844.jpg,,,,,,,,,, +贵州娃儿藤,Tylophora silvestris,张代贵,255,20060917,湖南省,,灌丛,藤本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU17325.jpg,,,,,,,,,, +北越钩藤,Uncaria homomalla,陈,728,19780418,四川省,1800,阴湿,溪涧,藤本,有花无果,https://image.cvh.ac.cn/files/l/CQNM/0009900.jpg,,,,,,,,,, +北越钩藤,Uncaria homomalla,谢月英、农东新、彭玉德,451481151010017LY,20151010,广西壮族自治区,380,阔叶林,沟边,黄棕壤,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0176943.jpg,,,,,,,,,, +北越钩藤,Uncaria homomalla,江城县普查队,5308260020,20120418,云南省,1278,,,,https://image.cvh.ac.cn/files/l/IMDY/IMDY0017489.jpg,,,,,,,,,, +,Uncaria scandens,"Cavalerie, Pierre Julien",3015,8-May,,,,,,https://image.cvh.ac.cn/files/l/E/E00327709.jpg,,,,,,,,,, +攀茎钩藤,Uncaria scandens,建水县普查队,5325240029,20190323,云南,1080,林下,藤本,无花无果,https://image.cvh.ac.cn/files/l/KUN/1524937.jpg,,,,,,,,,, +攀枝钩藤,Uncaria scandens,孙景云,郑士川,,19840629,海南省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00047632.jpg,,,,,,,,,, +白钩藤,Uncaria sessilifructus,张志松 张永田,2086,19600425,贵州省,520,,藤本,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00253679.jpg,,,,,,,,,, +长梗钩藤,Uncaria sessilifructus,,2892,0,,,,藤本,,https://image.cvh.ac.cn/files/l/HITBC/0003616.jpg,,,,,,,,,, +长梗钩藤,Uncaria sessilifructus,弄岗队,11545,19791104,广西省,,密林谷地,藤本,,https://image.cvh.ac.cn/files/l/HITBC/0003627.jpg,,,,,,,,,, +华钩藤,Uncaria sinensis,钱重海等,1841,19521003,湖北省,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00031207.jpg,,,,,,,,,, +华钩藤,Uncaria sinensis,田阳采集队,451021180331037LY,20180331,广西壮族自治区,509,灌丛,藤本,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0171350.jpg,,,,,,,,,, +华钩藤,Uncaria sinensis,陕西省秦考队,64,19740514,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH012862.jpg,,,,,,,,,, +杜仲藤,Urceola micrantha,赵华策,48,19560325,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0480845.jpg,,,,,,,,,, +杜仲藤,Urceola micrantha,张寿洲、李良千等,1036,20050505,广东,100~200m,水库边草地,藤本,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00049554.jpg,,,,,,,,,, +杜仲藤,Urceola micrantha,Tsang W. T.,22158,1933/8/26,广西省,,,,有花无果,https://image.cvh.ac.cn/files/l/WUK/0236884.jpg,,,,,,,,,, +地桃花,Urena lobata,刘正宇,14187,19930816,重庆市,840,溪边,,有花无果,https://image.cvh.ac.cn/files/l/PE/01629642.jpg,,,,,,,,,, +地桃花,Urena lobata,T.Y.A.Yang et al.,14685,20020408,台湾省,20,"Roadside,forest margin",,无花有果,https://image.cvh.ac.cn/files/l/PE/01983718.jpg,,,,,,,,,, +地桃花,Urena lobata,黄志,35333,19331212,海南省,,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01303462.jpg,,,,,,,,,, +云南地桃花,Urena lobata var. yunnanensis,"陶国达,王洪",930691,19930508,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/060229.jpg,,,,,,,,,, +云南地桃花,Urena lobata var. yunnanensis,德保县普查队,451024150626114LY,20150626,广西壮族自治区,613,阔叶林,林下,石灰土,少见野生,灌木,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00409607.jpg,,,,,,,,,, +云南地桃花,Urena lobata var. yunnanensis,H.T.Tsai,61206,19340725,云南省,1200,on road side,,有花无果,https://image.cvh.ac.cn/files/l/PE/01303650.jpg,,,,,,,,,, +黄花狸藻,Utricularia aurea,柳北区普查队,450205191130013LY,20191130,广西,102,草丛,路旁,黄棕壤;多;野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00427113.jpg,,,,,,,,,, +黄花狸藻,Utricularia aurea,生物所,10337,19750803,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0547917.jpg,,,,,,,,,, +黄花狸藻,Utricularia aurea,C. W. Wang,79992,1936/10/,云南,800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0041218.jpg,,,,,,,,,, +南方狸藻,Utricularia australis,莫熙穆,20881,19420400,江西省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0547935.jpg,,,,,,,,,, +南方狸藻,Utricularia australis,朱鑫鑫|30;王君;徐坤;周祥坤,ZXX19670,20190602,湖北,49,亚热带针阔混交林,池塘边,水生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1482539.jpg,,,,,,,,,, +南方狸藻,Utricularia australis,S.Saito,8659,19280609,台湾省,0,,草本 ,无果无花,https://image.cvh.ac.cn/files/l/KUN/0318111.jpg,,,,,,,,,, +挖耳草,Utricularia bifida,Y.Yabe,,19190907,山东省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00243931.jpg,,,,,,,,,, +挖耳草,Utricularia bifida,张挺,刘成,王茜茜,14CS8680,20140425,海南,627,季节性水塘中,水生植物,,https://image.cvh.ac.cn/files/l/KUN/1396133.jpg,,,,,,,,,, +挖耳草,Utricularia bifida,唐忠炳,170825256,20170825,江西,,林下,,有花无果,https://image.cvh.ac.cn/files/l/GNNU/GNNU0007923.jpg,,,,,,,,,, +块茎挖耳草,Utricularia brachiata,熊济华,张秀实,蒋兴麐,31749,19520723,四川省,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0548018.jpg,,,,,,,,,, +,Utricularia brachiata,T.T.Yu,20112,19380903,云南省,2600~2800,Margin of woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/01543045.jpg,,,,,,,,,, +,Utricularia brachiata,T.T.Yu,20255,19380914,,3300,margin of thickets shady & Moist place,,有花无果,https://image.cvh.ac.cn/files/l/PE/01543040.jpg,,,,,,,,,, +,Utricularia christopheri,S.Noshiro etc.,9760343,19970824,,3650,on sunny wet groundina valley,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1264320.jpg,,,,,,,,,, +,Utricularia intermedia,钟观光,0,19181128,海南,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0058054.jpg,,,,,,,,,, +异枝狸藻,Utricularia intermedia,C.W.Wang,66012,19350800,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0548058.jpg,,,,,,,,,, +异枝狸藻,Utricularia intermedia,H.W.Kung,1778,1931/7/8,吉林,450,,水生草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0014149.jpg,,,,,,,,,, +,Utricularia kumaonensis,Luo Yi-bo & Mao Ying-feng,496,20001012,云南省,1900,山谷岩石上潮湿处,,有花有果,https://image.cvh.ac.cn/files/l/PE/02110285.jpg,,,,,,,,,, +毛籽挖耳草,Utricularia kumaonensis,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201219,20200724,西藏,2268,岩壁上,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1505737.jpg,,,,,,,,,, +细叶狸藻,Utricularia minor,蒙药普查队,263,19740800,内蒙古自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/HIMC/0034779.jpg,,,,,,,,,, +姬狸藻,Utricularia minor,J.Kozlov,10258,19320725,,,,,无花无果,https://image.cvh.ac.cn/files/l/TIE/00030625.jpg,,,,,,,,,, +细叶狸藻,Utricularia minor,赵魁义,易富科,65,19740627,黑龙江,,水中,,无花有果,https://image.cvh.ac.cn/files/l/IGA/IGA0007830.jpg,,,,,,,,,, +,Utricularia multicaulis,H.Kanai H.Hara etc.,722025,19720828,Topke Gola,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0318047.jpg,,,,,,,,,, +怒江挖耳草,Utricularia salwinensis,张启泰,陆仁福,13,19891007,云南省,3260,岩壁滴水,苔藓丛中,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0318115.jpg,,,,,,,,,, +怒江挖耳草,Utricularia salwinensis,熊济华,张秀实,蒋兴麐,31749,19520723,四川省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00130969.jpg,,,,,,,,,, +尖萼挖耳草,Utricularia scandens subsp. firmula,"张志松,张永田",8541,19600826,贵州省,1300,山坡密林,,无花有果,https://image.cvh.ac.cn/files/l/PE/01543161.jpg,,,,,,,,,, +尖萼挖耳草,Utricularia scandens subsp. firmula,张桥蓉,宋鼎,孙旭伟,ZhangYH085,20190831,贵州,1666,路边山坡上,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1489824.jpg,,,,,,,,,, +尖萼挖耳草,Utricularia scandens subsp. firmula,Stainton sykes & Williams,4071,19540829,,2166,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01543164.jpg,,,,,,,,,, +圆叶挖耳草,Utricularia striatula,李健玲、陈海玲,GPS190819009,20190819,广西,~,山地,水旁,山谷,草地,黄壤;普遍,直立草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00434286.jpg,,,,,,,,,, +圆叶挖耳草,Utricularia striatula,刘正宇,183127,20080726,重庆市,930,溪边阴湿岩壁上,,有花无果,https://image.cvh.ac.cn/files/l/PE/01868271.jpg,,,,,,,,,, +圆叶挖耳草,Utricularia striatula,华东工作站同人,6526,19511104,安徽省,,,,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00243994.jpg,,,,,,,,,, +,Utricularia vulgaris,河南队,891,19600707,河南省,,水中,,无花无果,https://image.cvh.ac.cn/files/l/PE/01543262.jpg,,,,,,,,,, +,Utricularia vulgaris,青林队,79,19590605,青海省,3080,沼泽水中,,有花无果,https://image.cvh.ac.cn/files/l/PE/02111550.jpg,,,,,,,,,, +狸藻,Utricularia vulgaris,王启无,73572,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0548104.jpg,,,,,,,,,, +短蕊越橘,Vaccinium brachyandrum,贺贤育,27252,,浙江省 ,,,小乔木,无花无果,https://image.cvh.ac.cn/files/l/HHBG/HZ041536.jpg,,,,,,,,,, +短蕊越桔,Vaccinium brachyandrum,G.Forrest,5525,19100000,云南省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01856179.jpg,,,,,,,,,, +,Vaccinium brachyandrum,黄颖锋、李金花、黄捷,GXMG1405,20110721,广西壮族自治区,,向阳山坡,,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0082597.jpg,,,,,,,,,, +小叶南烛,Vaccinium bracteatum,,10220,1916-10-,广东; Kwangtung,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00109567.jpg,,,,,,,,,, +小叶乌饭树,Vaccinium bracteatum,曾宪锋,ZXF04553,20070420,广东省,750,,小乔木,,https://image.cvh.ac.cn/files/l/CZH/CZH0016552.jpg,,,,,,,,,, +小叶乌饭树,Vaccinium bracteatum,曾宪锋,ZXF48755,20190607,福建,458,山地林中,小乔木,有花无果,https://image.cvh.ac.cn/files/l/CZH/CZH0043908.jpg,,,,,,,,,, +团叶越橘,Vaccinium chaetothrix,郭永杰,陶以军,李松强,20CS19255,20200506,西藏,3541,林下,附生植物,有花无果,https://image.cvh.ac.cn/files/l/KUN/1488660.jpg,,,,,,,,,, +越桔属,Vaccinium chaetothrix,"孙航,周浙昆,俞宏渊",ETM-0678,19921025,西藏自治区,3400,in shrub forest,,,https://image.cvh.ac.cn/files/l/KUN/1273743.jpg,,,,,,,,,, +团叶越桔,Vaccinium chaetothrix,,,19820625,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/064430.jpg,,,,,,,,,, +,Vaccinium corymbosum,J.G.Jack,3418,19240913,,,,,无花无果,https://image.cvh.ac.cn/files/l/AU/AU046085.jpg,,,,,,,,,, +,Vaccinium corymbosum,Frank Lomer,,19870711,British Columbia,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00602898.jpg,,,,,,,,,, +苍山越桔,Vaccinium delavayi,吴征镒,李恒,90506,19900713,温哥华,400~300,松林,,有果无花,https://image.cvh.ac.cn/files/l/KUN/34194.jpg,,,,,,,,,, +苍山越桔,Vaccinium delavayi,秦仁昌,3295,19560906,新疆,2500,,,有果无花,https://image.cvh.ac.cn/files/l/KUN/33822.jpg,,,,,,,,,, +苍山越桔,Vaccinium delavayi,Frank Fusiak etc.,82-121,19821017,Vermont,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/33612.jpg,,,,,,,,,, +树生越橘,Vaccinium dendrocharis,C.W.Wang,64082,19350600,云南省 ,3000,,,无花有果,https://image.cvh.ac.cn/files/l/LBG/00080743.jpg,,,,,,,,,, +,Vaccinium dendrocharis,H. R. E. Handel-Mazzetti,9162,1916/6/29,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00015956.jpg,,,,,,,,,, +树生越橘,Vaccinium dendrocharis,Joseph F. Rock,22914,May-32,云南、西藏东南; Yunnan-Sout,1200,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00109622.jpg,,,,,,,,,, +云南越桔,Vaccinium duclouxii,邓良,4518,19570506,广东省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/031799.jpg,,,,,,,,,, +柔毛云南越桔,Vaccinium duclouxii,海仙、方震东、方晔、朱英,DJDC-103,20150519,云南省,2248,,,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG 007663.jpg,,,,,,,,,, +柔毛云南越桔,Vaccinium duclouxii,宋鼎;刘敏;魏定名;杨龙斌;李双斌;张桥蓉,CN011,20190216,云南,2378,湿地边林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1554976.jpg,,,,,,,,,, +,Vaccinium dunalianum,"蔡杰,刘恩德,郭永杰",13CS7683,20130531,西藏自治区,2225,河谷公路边,附生植物,有花有果,https://image.cvh.ac.cn/files/l/KUN/1375381.jpg,,,,,,,,,, +樟叶越橘,Vaccinium dunalianum,吕惠珍、李莹、岑海锋、杨成斌,451031121201101LY,20121201,广西,1612,灌丛,林缘,石灰土,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0190304.jpg,,,,,,,,,, +尾叶越桔,Vaccinium dunalianum,田林普查队,4.51E+14,20130425,广西壮族自治区,1530,针阔混交林,石灰土,,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI055479.jpg,,,,,,,,,, +尾叶越桔,Vaccinium dunalianum var. urophyllum,林茂祥,IMPCLMX010B05,20190505,重庆,1315,亚热带暖性针阔混交林,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1551633.jpg,,,,,,,,,, +尾叶越橘,Vaccinium dunalianum var. urophyllum,蒋英,11820,,云南省 ,,,,无花有果,https://image.cvh.ac.cn/files/l/SZ/00062423.jpg,,,,,,,,,, +,Vaccinium dunalianum var. urophyllum,"Bodinier, Emile M.",2308,05 June 1898,,,,,,https://image.cvh.ac.cn/files/l/E/E00327793.jpg,,,,,,,,,, +,Vaccinium fragile,G.Forrest,30688,,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01855818.jpg,,,,,,,,,, +,Vaccinium fragile,林业部林业科学研究所标本室,,1955XXXX,四川云南,,,,无花有果,https://image.cvh.ac.cn/files/l/CAF/CAF00030814.jpg,,,,,,,,,, +,Vaccinium fragile,胡君、王东超、李丽、刘晓芬、李永龙、唐璐、思亮、刘方方,SC-a-062-B18,20180731,贵州,2671,高山栎群落中,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0273807.jpg,,,,,,,,,, +粉花软骨边越桔,Vaccinium gaultheriifolium,"刘恩德, 邹娇, 董洪进, 肖波, 周天, 赵晨光, 陈志坚",LED9490,20191223,云南,2297,阔叶林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1495473.jpg,,,,,,,,,, +软骨边越橘,Vaccinium gaultheriifolium,,ST21276,19410825,台湾省 ,,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00132093.jpg,,,,,,,,,, +粉花软骨边越桔,Vaccinium gaultheriifolium,青藏队,74-4070,19740805,西藏自治区,2080,山坡阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908557.jpg,,,,,,,,,, +粉白越桔,Vaccinium glaucoalbum,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201388,20200731,西藏,2593,林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507071.jpg,,,,,,,,,, +粉白越桔,Vaccinium glaucoalbum,高连明,GLM-081862,20080923,西藏自治区,2630,原始森林、针阔叶混交林,,,https://image.cvh.ac.cn/files/l/KUN/1273256.jpg,,,,,,,,,, +粉白越桔,Vaccinium glaucoalbum,高连明,GLM-07454,20070503,云南省,1960,"in mixed forest, in valley",,,https://image.cvh.ac.cn/files/l/KUN/1272861.jpg,,,,,,,,,, +黄背越橘,Vaccinium iteophyllum,陈念劬,42583,19310411,香港 ,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00045246.jpg,,,,,,,,,, +腺毛米饭花,Vaccinium iteophyllum,郭辉军,2007,19880829,,2750,栎林下,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1267114.jpg,,,,,,,,,, +腺毛米饭花,Vaccinium iteophyllum,西南师范学院生物系,12054,19760705,四川省,1800,谷坡阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908969.jpg,,,,,,,,,, +腺毛米饭花,Vaccinium iteophyllum var. glandulosum,聂敏祥,6732,19630504,江西省,240,丘陵地,,有花有果,https://image.cvh.ac.cn/files/l/PE/01908922.jpg,,,,,,,,,, +腺毛米饭花,Vaccinium iteophyllum var. glandulosum,"陈耀东,马欣堂,杜玉芬,班勤",5101,19900714,安徽省,550,山坡杂木林中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01908944.jpg,,,,,,,,,, +腺毛米饭花,Vaccinium iteophyllum var. glandulosum,Guo,Guo 1894,19880823,云南省,1980,栎林下,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1267115.jpg,,,,,,,,,, +羽毛越桔,Vaccinium lanigerum,王启无,67512,19351000,云南省,2800,Under forest,small tree,有花无果,https://image.cvh.ac.cn/files/l/PE/00027693.jpg,,,,,,,,,, +羽毛越橘,Vaccinium lanigerum,C.W.Wang,65593,19350800,四川省,3400,,,无花无果,https://image.cvh.ac.cn/files/l/SZ/00126310.jpg,,,,,,,,,, +白果越桔,Vaccinium leucobotrys,海仙、方震东、刘琳、马宗灵,FW2009-112,20090401,云南省,2074,,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 001635.jpg,,,,,,,,,, +白果越橘,Vaccinium leucobotrys,Forrest,21596,,西藏; Tibet,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00109727.jpg,,,,,,,,,, +白果越橘,Vaccinium leucobotrys,姚淦,3908,19901005,西藏自治区,2100,常绿阔叶林中附生于树干上,附生灌木,无花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00001997.jpg,,,,,,,,,, +大苞越桔,Vaccinium modestum,李红、白洪兵,533324180901638LY,20180901,云南,3352,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SABG/SABG009061.jpg,,,,,,,,,, +大苞越橘,Vaccinium modestum,T.T.Yu,19755,19370807,云南省 ,3800,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00125727.jpg,,,,,,,,,, +大苞越橘,Vaccinium modestum,C.W.Wang,67268,19351000,云南省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00125772.jpg,,,,,,,,,, +,Vaccinium motuoense,,,,,,,,,,,,,,,,,,, +抱石越桔,Vaccinium nummularia,236 四川任务组,543,19710730,四川省,2100,林中树上,,无花无果,https://image.cvh.ac.cn/files/l/PE/01533155.jpg,,,,,,,,,, +抱石越桔,Vaccinium nummularia,CMTTE,CMTTE958,20120809,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0106236.jpg,,,,,,,,,, +抱石越橘,Vaccinium nummularia,张书东,何华杰,81271,20080919,西藏,,,,无花无果,https://image.cvh.ac.cn/files/l/KUN/1439107.jpg,,,,,,,,,, +粉果越桔,Vaccinium papillatum,吴磊,3589,20130509,广西壮族自治区,1200~1400,山顶密林,灌木,有花无果,https://image.cvh.ac.cn/files/l/BNU/0032502.jpg,,,,,,,,,, +粉果越橘,Vaccinium papillatum,A.Gizha et L.Motorina et A.Cze,3891,19530622,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0456949.jpg,,,,,,,,,, +粉果越桔,Vaccinium papillatum,"税玉民,方瑞征,陈文红",21467,20020516,云南省,1400,in limestone forests,,有花无果,https://image.cvh.ac.cn/files/l/PE/02055186.jpg,,,,,,,,,, +西藏越桔,Vaccinium retusum,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX201095,20200721,西藏,2222,岩石上,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1507887.jpg,,,,,,,,,, +西藏越橘,Vaccinium retusum,,s.n.,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0457063.jpg,,,,,,,,,, +西藏越桔,Vaccinium retusum,"孙航,周浙昆,俞宏渊",ETM-0678,19921025,西藏自治区,3400,in shrub forest,,,https://image.cvh.ac.cn/files/l/KUN/1273744.jpg,,,,,,,,,, +,Vaccinium stenanthum,,,,,,,,,,,,,,,,,,, +梯脉越桔,Vaccinium subdissitifolium,青藏队,74-4130,19740806,西藏自治区,1800,山坡阔叶林中,,有花有果,https://image.cvh.ac.cn/files/l/PE/01909560.jpg,,,,,,,,,, +梯脉越桔,Vaccinium subdissitifolium,"刘成, 亚吉东",18CS17147,20181201,西藏,1351,林缘湖边,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1487281.jpg,,,,,,,,,, +毛序红花越桔,Vaccinium urceolatum var. pubescens,,780,19820830,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/064440.jpg,,,,,,,,,, +毛序红花越桔,Vaccinium urceolatum var. pubescens,姜恕,5412,19600412,四川省,1720,云南松林下,,有果无花,https://image.cvh.ac.cn/files/l/KUN/33016.jpg,,,,,,,,,, +毛序红花越桔,Vaccinium urceolatum var. pubescens,陈心启,贺善安等,424,19820506,Georgia,0,林缘,,有果无花,https://image.cvh.ac.cn/files/l/KUN/34342.jpg,,,,,,,,,, +小轮叶越桔,Vaccinium vacciniaceum,"Sue A. Thompson, J.H.Nishida, M. Macdonala et al.",2364,19850523,,1240~1270,Drier area of swamp.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00197374.jpg,,,,,,,,,, +秃冠小轮叶越桔,Vaccinium vacciniaceum subsp. glabritubum,B. Bartholomew and D.E.Boufford,3940,19860406,,1780,Moist broadleaved evergreen forest.,,有花无果,https://image.cvh.ac.cn/files/l/PE/00197369.jpg,,,,,,,,,, +轮生叶越桔,Vaccinium venosum,彭志仙,YN4518,20070604,云南,700~900,阴湿大树干上,,无花无果,https://image.cvh.ac.cn/files/l/MUCH/MUCH0003094.jpg,,,,,,,,,, +轮生叶越桔,Vaccinium venosum,张寿洲、陈真传等人,14843,20050321,云南省,2580,林下,,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00110273.jpg,,,,,,,,,, +轮生叶越桔,Vaccinium venosum,钟补求,6205,19531225,西藏自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00197713.jpg,,,,,,,,,, +髯毛缬草,Valeriana barbulata,四川农学院,972,19590614,四川省,1750,公路边,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0297681.jpg,,,,,,,,,, +髯毛缬草,Valeriana barbulata,S.T.Chiu etc.,3385,19960616,台湾省,2900,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0298481.jpg,,,,,,,,,, +髯毛缬草,Valeriana barbulata,吴征缢、陈书坤、杜庆、庐树林,75-919,19750718,西藏自治区,4200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/53942.jpg,,,,,,,,,, +,Valeriana cymbocarpa,,,,,,,,,,,,,,,,,,, +瑞香缬草,Valeriana daphniflora,黄云峰、黄颖锋,HYF0757,20100820,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0092518.jpg,,,,,,,,,, +瑞香缬草,Valeriana daphniflora,张家玲,HYG1203030,20120515,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/ZY/ZY0003947.jpg,,,,,,,,,, +瑞香缬草,Valeriana daphniflora,陈谋,2439,193405,云南省 ,0,,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0297699.jpg,,,,,,,,,, +新疆缬草,Valeriana fedtschenkoi,杨宗宗,03-186,20030724,新疆省,3250,,草本,,https://image.cvh.ac.cn/files/l/BNU/0019888.jpg,,,,,,,,,, +新疆缬草,Valeriana fedtschenkoi,资源调查组,14,20060612,新疆,3302米,山坡,草本,无花无果,https://image.cvh.ac.cn/files/l/TARU/TARU00228.jpg,,,,,,,,,, +新疆缬草,Valeriana fedtschenkoi,,739,19790816,四川,3700,,小草本,有花无果,https://image.cvh.ac.cn/files/l/SM/SM718800263.jpg,,,,,,,,,, +柔垂缬草,Valeriana flaccidissima,张代贵,zdg4789,20120218,湖南,879,山坡,草本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU53535.jpg,,,,,,,,,, +柔垂缬草,Valeriana flaccidissima,张吉华,1271,20020725,江西省,1620,山上部山坡草丛,,无花有果,https://image.cvh.ac.cn/files/l/JJF/00020795.jpg,,,,,,,,,, +柔垂缬草,Valeriana flaccidissima,王雪明,870034,19870518,贵州省,1600,,草本,无花无果,https://image.cvh.ac.cn/files/l/HGAS/029319.jpg,,,,,,,,,, +,Valeriana flagellifera,关克俭,77290,19770804,青海省,,山坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01018122.jpg,,,,,,,,,, +,Valeriana flagellifera,Harry Smith,12088,19340912,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01670335.jpg,,,,,,,,,, +,Valeriana flagellifera,N.M.Przewalski,334,18800609,甘肃省,3833,,,有花无果,https://image.cvh.ac.cn/files/l/PE/00032002.jpg,,,,,,,,,, +,Valeriana hiemalis,"郎楷永,李良千,费勇",2198,19830705,四川省,3750,云杉林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01173585.jpg,,,,,,,,,, +,Valeriana hiemalis,吴中伦,32666,19580703,四川,3700,高山林地,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00038073.jpg,,,,,,,,,, +全缘叶缬草,Valeriana hiemalis,北师大秦岭队,TB359,20130726,陕西省,3400,山坡林下,草,,https://image.cvh.ac.cn/files/l/BNU/0014744.jpg,,,,,,,,,, +毛果缬草,Valeriana hirticalyx,吴玉虎,33293,20050710,青海省,4200,,,有花有果,https://image.cvh.ac.cn/files/l/HNWP/0216013.jpg,,,,,,,,,, +毛果缬草,Valeriana hirticalyx,"朱鑫鑫,安宇梦",ZXX18210,20180626,青海,3840,高原亚寒带高山草地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1435798.jpg,,,,,,,,,, +毛果缬草,Valeriana hirticalyx,陶德定,11136,19760901,西藏自治区,4100~4300,山谷半阴坡,,有花有果,https://image.cvh.ac.cn/files/l/PE/01018382.jpg,,,,,,,,,, +细花缬草,Valeriana meonantha,吴玉虎,24782,20030702,青海省,2560,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0227293.jpg,,,,,,,,,, +细花缬草,Valeriana meonantha,吴玉虎,32020,20040806,甘肃省,3310,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/0207056.jpg,,,,,,,,,, +,Valeriana minutiflora,胡君、李丽、罗垚、蒋洪,SC-a-164-B16,,四川,2928,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262606.jpg,,,,,,,,,, +小花缬草,Valeriana minutiflora,CMTTE,CMTTE766,20120806,西藏自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0106297.jpg,,,,,,,,,, +小花缬草,Valeriana minutiflora,张林、李星月、张晓严,6-382,20180618,西藏,3029,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00023777.jpg,,,,,,,,,, +,Valeriana sichuanica,D.E.Boufford et al.,36803,20060818,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01689104.jpg,,,,,,,,,, +川缬草,Valeriana sichuanica,gorz,19471,19140700,,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/273155166.jpg,,,,,,,,,, +细花窄裂缬草,Valeriana stenoptera,王启无,2803,19390824,云南省 ,2600,林内,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0298369.jpg,,,,,,,,,, +窄叶缬草,Valeriana stenoptera,安明态,575,20010516,贵州省,1650,,,有花无果,https://image.cvh.ac.cn/files/l/GFS/GFS0018353.jpg,,,,,,,,,, +窄裂缬草,Valeriana stenoptera,C.W.Wang,69455,19350900,云南省,3400,,herbs,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 011162.jpg,,,,,,,,,, +纽子花,Vallaris solanacea,刘恩德,向春雷等,446,20110528,云南省,1372,河谷边土崖上,,有花无果,https://image.cvh.ac.cn/files/l/KUN/1227780.jpg,,,,,,,,,, +纽子花,Vallaris solanacea,陈功锡,张代贵等,LXP-06-8120,20151005,江西省,178,路旁,藤本,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU09475.jpg,,,,,,,,,, +纽子花,Vallaris solanacea,梁向日,68633,19550412,海南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0481299.jpg,,,,,,,,,, +,Vatica lanceifolia,,,,,,,,,,,,,,,,,,, +黄秦艽,Veratrilla baillonii,,34184,19590711,河南省,1250,山坡,阴处,灌木丛下,,无花无果,https://image.cvh.ac.cn/files/l/PE/02105678.jpg,,,,,,,,,, +黄秦艽,Veratrilla baillonii,赵振锯,师进斌,范德刚,114477,19810614,四川省,3700,,草本,有花有果,https://image.cvh.ac.cn/files/l/CQNM/0007776.jpg,,,,,,,,,, +黄秦艽,Veratrilla baillonii,,860,19590610,河北省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02105671.jpg,,,,,,,,,, +,Veratrilla burkilliana,,,,,,,,,,,,,,,,,,, +毛瓣毛蕊花,Verbascum blattaria,黄河调查队,1159,19570703,山西省,2000,沟底阴处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/477519.jpg,,,,,,,,,, +毛瓣毛蕊花,Verbascum blattaria,杨朝广,990,19520629,河北省,,河漕,,,https://image.cvh.ac.cn/files/l/IBK/IBK00334323.jpg,,,,,,,,,, +毛瓣毛蕊花,Verbascum blattaria,黄燮才,7282,19760720,广西壮族自治区,,阳处,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0053241.jpg,,,,,,,,,, +毛蕊花,Verbascum thapsus,邢吉庆,22357,19730810,新疆维吾尔自治区,,,草本,有花无果,https://image.cvh.ac.cn/files/l/XBGH/XBGH012760.jpg,,,,,,,,,, +毛蕊花,Verbascum thapsus,J.Sato,4446,19250705,辽宁省,,,,有花无果,https://image.cvh.ac.cn/files/l/IFP/12824001x0001.jpg,,,,,,,,,, +毛蕊花,Verbascum thapsus,,,,江西省,0,,,有花有果,https://image.cvh.ac.cn/files/l/LBG/00048582.jpg,,,,,,,,,, +马鞭草,Verbena officinalis,侯元同,郭成勇,2015111481-1,20151126,重庆,402,山坡荒草地,草本,有花有果,https://image.cvh.ac.cn/files/l/QFNU/QFNU0043443.jpg,,,,,,,,,, +马鞭草,Verbena officinalis,F.A.McClure,9153,19220418,海南省 ,,,herb,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00218325.jpg,,,,,,,,,, +马鞭草,Verbena officinalis,江明喜,李玲丽,周天阳,谷志容,435,20190911,湖南,988,,草本,有花无果,https://image.cvh.ac.cn/files/l/HIB/HIB0204380.jpg,,,,,,,,,, +喜斑鸠菊,Vernonia blanda,陈秀香等4人,2767,19861019,广西壮族自治区,,石山,藤本,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI059173.jpg,,,,,,,,,, +喜斑鸠菊,Vernonia blanda,,,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0596474.jpg,,,,,,,,,, +喜斑鸠菊 ,Vernonia blanda,周应再,ZhouYZ246,20181018,云南,2165,中山湿性常绿阔叶林,藤本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1482470.jpg,,,,,,,,,, +,Vernonia cinerea,Albert N.Steward and H.C.Cheo,415,19321004,江苏省,0~240,,,有花有果,https://image.cvh.ac.cn/files/l/N/280162813.jpg,,,,,,,,,, +夜香牛,Vernonia cinerea,谭策铭,971226,19970925,安徽,170,山脚灌草丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/01825733.jpg,,,,,,,,,, +夜香牛,Vernonia cinerea,陈邦余、李泽贤,25,19801109,广东省,,山地,草本,有花无果,https://image.cvh.ac.cn/files/l/FJSI/003318.jpg,,,,,,,,,, +斑鸠菊,Vernonia esculenta,刘慎谔,14647,,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0597245.jpg,,,,,,,,,, +斑鸠菊,Vernonia esculenta,谢欢欢,522230191123028LY,20191123,贵州,368,灌丛、中生、阳性、亚高温、钙质土、野生植物,一年生草本植物,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0102938.jpg,,,,,,,,,, +斑鸠菊,Vernonia esculenta,高贤明,G06060,20060711,四川省,1600,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/005007.jpg,,,,,,,,,, +,Vernonia extense,,,,,,,,,,,,,,,,,,, +,Vernonia forrestii,J. F. Rock,5146,,,,,,,https://image.cvh.ac.cn/files/l/HUH/A00282259.jpg,,,,,,,,,, +滇西斑鸠菊,Vernonia forrestii,冯国楣,2577,19391016,云南省,0,沟边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/823452.jpg,,,,,,,,,, +滇西斑鸠菊,Vernonia forrestii,E.E.Maire,437,19130000,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0596548.jpg,,,,,,,,,, +柳叶斑鸠菊,Vernonia saligna,中越考察队,966,19650104,山西省,300,山坡旁草地上,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00500904.jpg,,,,,,,,,, +柳叶斑鸠菊,Vernonia saligna,海仙、刘琳、李磊、马宗灵,LDHF-651,20100309,云南省,1474,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000851.jpg,,,,,,,,,, +柳叶斑鸠菊,Vernonia saligna,王明川,GYZ1407130715,20140713,贵州,,草坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0003998.jpg,,,,,,,,,, +,Vernonia volkameriaefolia,刘慎谔,22492,19461106,云南省 ,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0622667.jpg,,,,,,,,,, +,Vernonia volkameriaefolia,J.F.Maxwell,88-71,19880123,,0~1400,,treelet,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0622675.jpg,,,,,,,,,, +,Vernonia volkameriaefolia,毛品一,7040,19581104,云南省,0~1360,,小乔木,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0622662.jpg,,,,,,,,,, +,Veronica alpina subsp. pumila,Manfred Fischer,s.n.,19780913,,2000~2100,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01492859.jpg,,,,,,,,,, +水苦荬,Veronica anagallis-aquatica,杨济中,8,19720419,贵州,,,,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0075486.jpg,,,,,,,,,, +北水苦荬,Veronica anagallis-aquatica,熊豫宁,胡君,董晓宇,6155,20130411,江苏省,35,农田,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00598209.jpg,,,,,,,,,, +北水苦荬,Veronica anagallis-aquatica,江明喜刘辉,44,19970510,湖北省,100,,,无花有果,https://image.cvh.ac.cn/files/l/HIB/0147593.jpg,,,,,,,,,, +有柄水苦荬,Veronica beccabunga subsp. muscosa,王庆瑞,3432,19650808,新疆,700,水中,,无花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092914.jpg,,,,,,,,,, +两裂婆婆纳,Veronica biloba,何 叶 琪,4537,1959/7/7,甘肃,2800,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0389815.jpg,,,,,,,,,, +两裂婆婆纳,Veronica biloba,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20679,20200625,西藏,3856,高山灌丛草地,一年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1509678.jpg,,,,,,,,,, +两裂婆婆纳,Veronica biloba,陈晓亚 刘启新,87262,19870607,新疆维吾尔自治区,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/257148735.jpg,,,,,,,,,, +灰毛婆婆纳,Veronica cana,C.W.Wang,64572,19350700,云南省 ,3000,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00100358.jpg,,,,,,,,,, +灰毛婆婆纳,Veronica cana,邢吉庆,6653,19590609,陕西省,,,,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00054030.jpg,,,,,,,,,, +灰毛婆婆纳,Veronica cana,何罡安,XPALSB177,20090516,云南,2300,,直立草本,,https://image.cvh.ac.cn/files/l/KUN/1385023.jpg,,,,,,,,,, +中甸长果婆婆纳,Veronica ciliata,陈晓澄、肖洒,8231,20150808,青海省,3586,高山灌木林,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00017873.jpg,,,,,,,,,, +,Veronica ciliata,Harry Smith,6933,19240820,山西省,1800,in prato herboso,,无花有果,https://image.cvh.ac.cn/files/l/PE/01493379.jpg,,,,,,,,,, +,Veronica ciliata,胡君、王东超、李丽、唐露,SC-a-072-B14,20180807,云南,3734,灌丛群落,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0262385.jpg,,,,,,,,,, +拉萨长果婆婆纳,Veronica ciliata subsp. cephaloides,polunin,526,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01464233.jpg,,,,,,,,,, +拉萨长果婆婆纳,Veronica ciliata subsp. cephaloides,刘尚武,164,19650706,青海省,4700,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/13471.jpg,,,,,,,,,, +拉萨长果婆婆纳,Veronica ciliata subsp. cephaloides,青藏队,76-8603,19760729,西藏自治区,4300,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/59300.jpg,,,,,,,,,, +中甸长果婆婆纳,Veronica ciliata subsp. zhongdianensis,不祥,3857,19720722,西藏自治区,3100,,,无花无果,https://image.cvh.ac.cn/files/l/HNWP/82514.jpg,,,,,,,,,, +中甸长果婆婆纳,Veronica ciliata subsp. zhongdianensis,梅里队,26711,19920828,云南省,4300,高山河岸河漫滩,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 003415.jpg,,,,,,,,,, +中甸长果婆婆纳,Veronica ciliata subsp. zhongdianensis,陈晓澄、肖洒,8231,20150808,青海省,3586,高山灌木林,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/HNWP00017872.jpg,,,,,,,,,, +长梗婆婆纳,Veronica deltigera,魏来、何毅,BNUXZ2016152,20160717,西藏,3750~4100,山坡灌草丛,,,https://image.cvh.ac.cn/files/l/BNU/0028268.jpg,,,,,,,,,, +长梗婆婆纳,Veronica deltigera,成瑞瑜、蔡竞、秦换换,CRY-AA-25-020,20210607,四川,1443.53m,山坡灌丛,中生或阳生,有花无果,https://image.cvh.ac.cn/files/l/SZ/02070498.jpg,,,,,,,,,, +,Veronica deltigera,Harsukh,15418,1894,,,,,有花无果,https://image.cvh.ac.cn/files/l/AU/AU048546.jpg,,,,,,,,,, +多腺大花婆婆纳,Veronica himalensis,H.T.Tsai,54138,19330904,云南省 ,0~4000,,herb,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0577113.jpg,,,,,,,,,, +大花婆婆纳,Veronica himalensis,西藏中草药普查队,532,19720626,西藏自治区,3400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/81459.jpg,,,,,,,,,, +大花婆婆纳多腺变种,Veronica himalensis,238,58169,19340825,云南省,4000,pi-lo-shan,herb,有花有果,https://image.cvh.ac.cn/files/l/LBG/00100259.jpg,,,,,,,,,, +多枝婆婆纳,Veronica javanica,"刘守炉,姚淦,王希藻",1135,1963/5/9,江苏,,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0219705.jpg,,,,,,,,,, +多枝婆婆纳,Veronica javanica,乌当队,520112140822072LY,20140822,贵州,,阳性,草本,无花无果,https://image.cvh.ac.cn/files/l/GYBG/GYBG0007793.jpg,,,,,,,,,, +多枝婆婆纳,Veronica javanica,K.O.Lashima,17762,19340308,台湾省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00238556.jpg,,,,,,,,,, +绵毛婆婆纳,Veronica lanuginosa,L.Sh.Hicks,16597,19490620,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01464724.jpg,,,,,,,,,, +绵毛婆婆纳,Veronica lanuginosa,史国宝,17,19800800,青海省,0~2800,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0577155.jpg,,,,,,,,,, +绵毛婆婆纳,Veronica lanuginosa,中日考察队,T727,19900619,西藏自治区,5300,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01464729.jpg,,,,,,,,,, +尖果水苦荬,Veronica oxycarpa,朱格鳞,6966,19640828,新疆,900,水汫,,有花无果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0092921.jpg,,,,,,,,,, +尖果水苦荬,Veronica oxycarpa,山西调察队,36,19530908,山西省,1900,草地山坡阴处,,有花无果,https://image.cvh.ac.cn/files/l/KUN/822406.jpg,,,,,,,,,, +尖果水苦荬,Veronica oxycarpa,,玛-470,71.8.26,新疆维吾尔自治区 ,1700,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00034677.jpg,,,,,,,,,, +阿拉伯婆婆纳,Veronica persica,"K. Hosokawa, S. Okunomiya et al. (細川公子、奥宮鈴子 他2名)",FOK-064837,20040406,高知县,,,,有花有果,https://image.cvh.ac.cn/files/l/CSH/CSH0115894.jpg,,,,,,,,,, +阿拉伯婆婆纳,Veronica persica,熊豫宁,褚晓芳,顾子霞等,521,20180605,安徽,120,路边荒地,匍匐草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00614499.jpg,,,,,,,,,, +阿拉伯婆婆纳,Veronica persica,刘紫薇,201761428,20170614,河南省,,,,无花有果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0025507.jpg,,,,,,,,,, +婆婆纳,Veronica polita,刘全儒,,20130425,北京市,50,草丛,草本,,https://image.cvh.ac.cn/files/l/BNU/0022933.jpg,,,,,,,,,, +婆婆纳,Veronica polita,刘林翰,30974,20130306,湖南,,平地,草坪中,披散草本,有花有果,https://image.cvh.ac.cn/files/l/HNNU/HNNU00064004.jpg,,,,,,,,,, +婆婆纳,Veronica polita,邱炳云,59562,19660414,云南省 ,2200,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/46002.jpg,,,,,,,,,, +光果婆婆纳,Veronica rockii,何 叶 琪,4085,1959/7/10,甘肃,2750,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0390711.jpg,,,,,,,,,, +光果婆婆纳,Veronica rockii,Yu,136,1935,,,,,,https://image.cvh.ac.cn/files/l/PEY/PEY0057477.jpg,,,,,,,,,, +尖果婆婆纳,Veronica rockii,王启无,70225,19350900,云南省,2700,Ravine,,无花有果,https://image.cvh.ac.cn/files/l/PE/01465674.jpg,,,,,,,,,, +小婆婆纳,Veronica serpyllifolia,张代贵,YH150812647,20150812,湖南湘西州,,山坡,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU45647.jpg,,,,,,,,,, +小婆婆纳,Veronica serpyllifolia,赵魁义,725,19810815,云南省,,湖滨沼泽,,有花有果,https://image.cvh.ac.cn/files/l/IGA/IGA0007671.jpg,,,,,,,,,, +小婆婆纳,Veronica serpyllifolia,赵光丽,KKS1002010,20100510,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/ZY/ZY0003710.jpg,,,,,,,,,, +四川坡坡纳,Veronica szechuanica,正安普办,87--0486,19861200,贵州,,生于沟谷或山坡草地及林缘,多年生草本、根状茎细长而斜走、主茎多直立、分枝斜上至横卧、有两裂柔毛,有花无果,https://image.cvh.ac.cn/files/l/GZTM/GZTM0075303.jpg,,,,,,,,,, +四川婆婆纳,Veronica szechuanica,王作宾,13456,1942/8/10,宁夏,2300,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0071232.jpg,,,,,,,,,, +四川婆婆纳,Veronica szechuanica,黄河调查队,3466,19560902,甘肃省,0,,,有花无果,https://image.cvh.ac.cn/files/l/KUN/478397.jpg,,,,,,,,,, +多毛四川婆婆纳,Veronica szechuanica subsp. sikkimensis,四川植被队,13232,1976-7 2,四川省,3800,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0128244.jpg,,,,,,,,,, +多毛四川婆婆纳,Veronica szechuanica subsp. sikkimensis,四川植被调查队,乡2776,1973-6 2,云南省,4200,,,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0128251.jpg,,,,,,,,,, +多毛四川婆婆纳,Veronica szechuanica subsp. sikkimensis,朱鑫鑫,王君,王美华,许敏,多吉,尼玛顿珠,ZXX20993,20200719,西藏,2223,路边荒地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1504783.jpg,,,,,,,,,, +唐古拉婆婆纳,Veronica vandellioides,朱鑫鑫;王君;王美华;林庶;许敏,ZXX20674,20200625,西藏,3874,高山灌丛草地,多年生草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/1554425.jpg,,,,,,,,,, +唐古拉婆婆纳,Veronica vandellioides,不详,996,19720804,西藏自治区,4400,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/29931.jpg,,,,,,,,,, +唐古拉婆婆纳,Veronica vandellioides,张应堂,321,19890701,贵州省,,,,有花无果,https://image.cvh.ac.cn/files/l/ZY/ZY0003701.jpg,,,,,,,,,, +云南婆婆纳,Veronica yunnanensis,北京所横断山队,1427,19810713,云南省,3100~3400,冷杉林下水边石壁,,有花无果,https://image.cvh.ac.cn/files/l/PE/01531375.jpg,,,,,,,,,, +云南婆婆纳,Veronica yunnanensis,C.W.Wang,64572,1935/07/,云南,3000,,herb,有花无果,https://image.cvh.ac.cn/files/l/WUK/0065868.jpg,,,,,,,,,, +云南婆婆纳,Veronica yunnanensis,李渤生等,5674,19830721,西藏自治区,3600,Abies林下,,有花无果,https://image.cvh.ac.cn/files/l/PE/01474968.jpg,,,,,,,,,, +美穗草,Veronicastrum brunonianum,Dr.Heinr.Frh.v.Handel-Mazzetti,695,19140731,云南省 ,3100~3300,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00239215.jpg,,,,,,,,,, +美穗草,Veronicastrum brunonianum,国际交换队,870314,19870801,四川省,1800,,,有花无果,https://image.cvh.ac.cn/files/l/WCSBG/007906.jpg,,,,,,,,,, +美穗草,Veronicastrum brunonianum,方震东、李磊、谢爱芳、海仙,LDHF-528,20090826,云南省,3135,,,有花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 000760.jpg,,,,,,,,,, +短筒荚蒾,Viburnum brevitubum,T.T.Yu,8165,19370403,云南省,2500,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0539811.jpg,,,,,,,,,, +短筒荚迷,Viburnum brevitubum,壶瓶山考察队,762,19870626,湖南省,1600~2000,常绿落叶阔叶混交林带灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/01045339.jpg,,,,,,,,,, +短筒荚蒾,Viburnum brevitubum,江明喜,黄汉东,刘检明,胡华,田弟荣,2256,20170602,湖北,2500,,灌木,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0180334.jpg,,,,,,,,,, +金佛山荚蒾,Viburnum chinshanense,李振宇 赵志龙,87-2547,19870810,四川省,700,,,无花无果,https://image.cvh.ac.cn/files/l/WCSBG/007008.jpg,,,,,,,,,, +金佛山荚蒾,Viburnum chinshanense,于胜祥、张晓霞、赖阳均、黄云锋,425,20101007,广西壮族自治区,,,,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0096065.jpg,,,,,,,,,, +金佛山荚蒾,Viburnum chinshanense,黄雪彦、农东新、蓝祖栽、胡雪阳,451031121201025LY,20121201,广西,1097,草丛,路旁,石灰土,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0190688.jpg,,,,,,,,,, +探春,Viburnum farreri,侯学良,11090630,20110906,江西,,,,无花有果,https://image.cvh.ac.cn/files/l/AU/AU070944.jpg,,,,,,,,,, +香荚迷,Viburnum farreri,"赵振鐻,师进斌,范德刚",114526,19810616,四川省,2800,林中灌丛,,有花无果,https://image.cvh.ac.cn/files/l/PE/02099519.jpg,,,,,,,,,, +香荚蒾,Viburnum farreri,何毅 郝加琛,GSL2015051104,20150603,甘肃省,1730,山坡,,,https://image.cvh.ac.cn/files/l/BNU/0020911.jpg,,,,,,,,,, +琼花,Viburnum macrocephalum,詹选怀、彭焱松等,LXP0114,20130914,江西,590,山坡、路旁,灌木,有花无果,https://image.cvh.ac.cn/files/l/LBG/LBG00122661.jpg,,,,,,,,,, +木绣球,Viburnum macrocephalum,,,,安徽,,,,有花无果,https://image.cvh.ac.cn/files/l/NFP/NFP0000677.jpg,,,,,,,,,, +,Viburnum macrocephalum,Y.Chen,,19260900,湖北省,0,,,有花有果,https://image.cvh.ac.cn/files/l/N/271154538.jpg,,,,,,,,,, +蒙古荚蒾,Viburnum mongolicum,,186,,甘肃,,,,无花有果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093602.jpg,,,,,,,,,, +蒙古荚蒾,Viburnum mongolicum,生科,4,20140706,河南省,,,,有花无果,https://image.cvh.ac.cn/files/l/HEAC/HEAC0006215.jpg,,,,,,,,,, +蒙古荚蒾,Viburnum mongolicum,方玉,3019,20120630,河南,700,疏林,,有花有果,https://image.cvh.ac.cn/files/l/HENU/HENU1903019.jpg,,,,,,,,,, +,Viburnum mullaha var. mullaha,,,,,,,,,,,,,,,,,,, +陕西荚蒾,Viburnum schensianum,魏振铎,312,1964/6/24,青海,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0296937.jpg,,,,,,,,,, +浙江荚蒾,Viburnum schensianum,Courtois,11288,19150429,安徽省,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00269089.jpg,,,,,,,,,, +陕西荚蒾,Viburnum schensianum,朱大海 张超 李小杰,4585,20070810,四川省,2500,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WCSBG/018394.jpg,,,,,,,,,, +亚高山荚蒾,Viburnum subalpinum,李红、白洪兵,533324180828500LY,20180828,云南,3183,,灌木,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG009466.jpg,,,,,,,,,, +边沿荚迷,Viburnum subalpinum,滇西北队,10337,19600712,云南省,2250,阔叶林下润湿,,有果无花,https://image.cvh.ac.cn/files/l/KUN/191207.jpg,,,,,,,,,, +亚高山荚迷,Viburnum subalpinum,青藏队,5571,19750606,西藏自治区,2600,山坡灌木丛中,,有花无果,https://image.cvh.ac.cn/files/l/KUN/191212.jpg,,,,,,,,,, +少裂凹乳芹,Vicatia bipinnata,无,574,19600000,云南省 ,0,,草本,有花无果,https://image.cvh.ac.cn/files/l/KUN/0466396.jpg,,,,,,,,,, +少裂凹乳芹,Vicatia bipinnata,,12070,,四川,,,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM715006785.jpg,,,,,,,,,, +少裂凹乳芹,Vicatia bipinnata,"岳俊三, 宋国杰, 庄体德",6405,19640827,四川省,2700,山阴处林缘,草本,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00034335.jpg,,,,,,,,,, +,Vincetoxicum canescens,,,,,,,,,,,,,,,,,,, +,Vincetoxicum exile,,,,,,,,,,,,,,,,,,, +,Vincetoxicum forrestii,"Forrest, George",2216,,,,,,,https://image.cvh.ac.cn/files/l/E/E00284998.jpg,,,,,,,,,, +,Vincetoxicum himalaicum,,,,,,,,,,,,,,,,,,, +,Vincetoxicum inamoenum,蒋兴麐,36751,19530905,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00098245.jpg,,,,,,,,,, +,Viscum album,王作賓,15245,19510610,甘肃,2500,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00007329.jpg,,,,,,,,,, +白果槲寄生,Viscum album,周子静等,41363,19620809,广西壮族自治区,,,,有花无果,https://image.cvh.ac.cn/files/l/HIB/0154462.jpg,,,,,,,,,, +白果槲寄生,Viscum album,,104,19600820,安徽省,,,,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00301516.jpg,,,,,,,,,, +卵叶槲寄生,Viscum album subsp. meridianum,李远杰,LYJ92,20171121,云南,1368,,寄生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026852.jpg,,,,,,,,,, +卵叶槲寄生,Viscum album subsp. meridianum,朱鑫鑫,王君,王美华,林庶,许敏,多吉,尼玛顿珠,ZXX201349,20200729,西藏,2315,林中树上,寄生植物,无花无果,https://image.cvh.ac.cn/files/l/KUN/1507042.jpg,,,,,,,,,, +卵叶槲寄生,Viscum album subsp. meridianum,西藏生物所植物资源队,3745,19830827,西藏自治区,2400,高山栎枝上,草本,无花有果,https://image.cvh.ac.cn/files/l/XZ/XZ0009722.jpg,,,,,,,,,, +扁枝槲寄生,Viscum articulatum,红水河植物考察队,926,19890505,广西壮族自治区,900,松栎林缘公路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01985685.jpg,,,,,,,,,, +扁枝槲寄生,Viscum articulatum,Walter N. Catherine M. Bangha,1211,1932,Sumatra,800,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00049716.jpg,,,,,,,,,, +扁枝槲寄生,Viscum articulatum,李毓敬等,4,19800801,海南省 ,0,,,无花无果,https://image.cvh.ac.cn/files/l/IBSC/0381571.jpg,,,,,,,,,, +棱枝槲寄生,Viscum diospyrosicola,高锡朋,50917,19301117,海南省,,乔木枝上,,无花无果,https://image.cvh.ac.cn/files/l/PE/00916145.jpg,,,,,,,,,, +棱枝槲寄生,Viscum diospyrosicola,安徽师范大学生物系,82134,19830407,安徽省,400,阴坡林内,,无花有果,https://image.cvh.ac.cn/files/l/PE/00916103.jpg,,,,,,,,,, +棱枝槲寄生,Viscum diospyrosicola,平乐县普查队,450330181109010LY,20181109,广西,173,阔叶林,路旁,少野生,灌木,无花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00412826.jpg,,,,,,,,,, +枫香槲寄生,Viscum liquidambaricola,叶国栋,1429,19800625,福建省,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0381821.jpg,,,,,,,,,, +枫香槲寄生,Viscum liquidambaricola,李洪钧,7598,19580000,湖北省,600,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0381826.jpg,,,,,,,,,, +枫香槲寄生,Viscum liquidambaricola,"Tsang, W.T.",22442,1933/6/6,广西; KWANGSI,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00049732.jpg,,,,,,,,,, +五脉槲寄生,Viscum monoicum,,,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0381910.jpg,,,,,,,,,, +五脉槲寄生,Viscum monoicum,杨平、农时越、农素芸等,BL1008,20200819,广西,~834,石灰岩石山;少见,寄生,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00428704.jpg,,,,,,,,,, +五脉槲寄生,Viscum monoicum,李远杰,LYJ93,20171121,云南,969,,寄生,有花有果,https://image.cvh.ac.cn/files/l/HITBC/HITBC0026851.jpg,,,,,,,,,, +绿茎槲寄生,Viscum nudum,川经植,1547,19590801,四川省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00916220.jpg,,,,,,,,,, +绿茎槲寄生,Viscum nudum,,984,,云南省 ,0,,寄生,无花无果,https://image.cvh.ac.cn/files/l/KUN/0564095.jpg,,,,,,,,,, +绿茎槲寄生,Viscum nudum,孙航,周浙昆,俞宏渊,3913,19930223,西藏自治区,1600,寄生于乔木林上,草本,无花无果,https://image.cvh.ac.cn/files/l/KUN/0564097.jpg,,,,,,,,,, +,Vitex altissima,V.Narayanasamy,18768,19290813,,0~2400,,Small Tree,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0502872.jpg,,,,,,,,,, +长叶荆,Vitex burmensis,白智林,C530205,20060710,云南省,570,绿石林,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0024243.jpg,,,,,,,,,, +,Vitex burmensis,"Henry, A.",11883A,,,,,,,https://image.cvh.ac.cn/files/l/E/E00284232.jpg,,,,,,,,,, +长叶荆,Vitex burmensis,田林普查队,4.51E+14,20121014,广西壮族自治区,880,,灌木,有花无果,https://image.cvh.ac.cn/files/l/GXMI/GXMI057113.jpg,,,,,,,,,, +光叶牡荆,Vitex glabrata,肖春芬,C100699,20120619,云南省,570,树木园,灌木,,https://image.cvh.ac.cn/files/l/HITBC/0023476.jpg,,,,,,,,,, +,Vitex glabrata,H.S.Yates,1609,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0502899.jpg,,,,,,,,,, +牡荆,Vitex negundo,张代贵,ZZ140713283,20140713,湖南株洲,,山坡,灌木,有花无果,https://image.cvh.ac.cn/files/l/JIU/JIU58283.jpg,,,,,,,,,, +荆条,Vitex negundo,,770985,19770612,北京,1000,山下,,有花无果,https://image.cvh.ac.cn/files/l/BJM/0148083.jpg,,,,,,,,,, +小叶荆,Vitex negundo,张代贵,130626014,20130626,湖北省,,灌丛,,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU32845.jpg,,,,,,,,,, +长序荆,Vitex peduncularis,李延辉,4684,19650800,云南省,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/046604.jpg,,,,,,,,,, +长序荆,Vitex peduncularis,赵子恩,9410,20050411,云南,1380,山坡灌丛中,乔木,有花有果,https://image.cvh.ac.cn/files/l/HIB/HIB0185025.jpg,,,,,,,,,, +长序荆,Vitex peduncularis,"Thawatchai,Kasen陶国达,孙航,费勇,姬翔生,",408,19910501,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/040023.jpg,,,,,,,,,, +,Vitex pinnata,孙洪范,9534,,,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0503704.jpg,,,,,,,,,, +山牡荆,Vitex quinata,郑元琦,,19530920,福建省,,,,无花有果,https://image.cvh.ac.cn/files/l/FJFC/FJFC0001883.jpg,,,,,,,,,, +山牡荆,Vitex quinata,W.T.Tsang,25789,19350912,惠阳,0,,Shrub sWoody,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0503762.jpg,,,,,,,,,, +山牡荆,Vitex quinata,陈龙清,川花-724,19891004,四川省,550,,灌木,无花有果,https://image.cvh.ac.cn/files/l/CCAU/ccau0002666.jpg,,,,,,,,,, +微毛布惊,Vitex quinata var. puberula,,33443,19740427,,0~50,,Tree,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0503951.jpg,,,,,,,,,, +微毛布惊,Vitex quinata var. puberula,曹子余,1014,19581014,贵州省,800,山坡路边,,有花无果,https://image.cvh.ac.cn/files/l/HGAS/HGAS0072189.jpg,,,,,,,,,, +微毛布惊,Vitex quinata var. puberula,南丹普查队,451221190701018LY,20190701,广西,631,阔叶林,乔木,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0200654.jpg,,,,,,,,,, +,Vuhuangia flava,,,,,,,,,,,,,,,,,,, +割舌树,Walsura robusta,,1534,19760000,,,,,无花无果,https://image.cvh.ac.cn/files/l/HITBC/028947.jpg,,,,,,,,,, +割舌树,Walsura robusta,冯钦,20089,19320503,海南省,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/01168638.jpg,,,,,,,,,, +割舌树,Walsura robusta,236-6队,4316,19830313,云南省,600,路边,,无花无果,https://image.cvh.ac.cn/files/l/PE/01168637.jpg,,,,,,,,,, +,Weigela florida,樊映汉,11,19590422,北京市,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01839412.jpg,,,,,,,,,, +绒毛紫薇,Weigela florida,冯国楣,20306,19550413,云南省,630,路旁,疏林中,乔木,有花无果,https://image.cvh.ac.cn/files/l/NAS/NAS00024430.jpg,,,,,,,,,, +锦带花,Weigela florida,萨其拉,2019052701,20190527,黑龙江,94,杂木林下,,有花无果,https://image.cvh.ac.cn/files/l/JMSMC/JMSMC0000968.jpg,,,,,,,,,, +西藏水锦树,Wendlandia grandis,独龙江考察队,5315,19910328,云南省,1400,河谷,,有果无花,https://image.cvh.ac.cn/files/l/KUN/358235.jpg,,,,,,,,,, +西藏水锦树,Wendlandia grandis,"李渤生,程树志",3512,19830121,西藏自治区,1600,林内,,有花无果,https://image.cvh.ac.cn/files/l/PE/01468245.jpg,,,,,,,,,, +西藏水锦树,Wendlandia grandis,Native,s.n.,,,0,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0512235.jpg,,,,,,,,,, +,Wendlandia puberula,,,,,,,,,,,,,,,,,,, +粗叶水锦树,Wendlandia scabra,建水普查队,5325240422,20190517,云南,1516,林缘,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/1524727.jpg,,,,,,,,,, +粗叶水锦树,Wendlandia scabra,田林普查队,4.51E+14,20130425,广西壮族自治区,836,灌丛,林缘,,有花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0094345.jpg,,,,,,,,,, +粗叶水锦树,Wendlandia scabra,美登木调查队,13914,19760311,,,,乔木,,https://image.cvh.ac.cn/files/l/HITBC/0003705.jpg,,,,,,,,,, +滇西水锦树,Wendlandia speciosa,H.T.Tsai,,,云南省 ,,,,有花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00253743.jpg,,,,,,,,,, +美丽水锦树,Wendlandia speciosa,包仕英,759,198707,云南省,0,路边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/358127.jpg,,,,,,,,,, +美丽水锦树,Wendlandia speciosa,王正伟,WZW08289,20151105,西藏,1609,,,有花无果,https://image.cvh.ac.cn/files/l/CSH/CSH0109950.jpg,,,,,,,,,, +,Wendlandia wallichii,,,,,,,,,,,,,,,,,,, +,Whytockia arunachalensis,,,,,,,,,,,,,,,,,,, +美丽桐,Wightia speciosissima,刘成;冯明建;李涟漪;李欣,20CS19311,20200416,云南,1842,路上方陡坡,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1508987.jpg,,,,,,,,,, +美丽桐,Wightia speciosissima,王启无,82645,19391023,云南省,1500,林边,,有花无果,https://image.cvh.ac.cn/files/l/KUN/478730.jpg,,,,,,,,,, +美丽桐,Wightia speciosissima,郭永杰,陶以军,李松强,20CS19247,20200507,西藏,1437,岩石上,乔木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1489142.jpg,,,,,,,,,, +荛花,Wikstroemia canescens,德格队,578,19790504,四川,3000,灌木林中,,有花无果,https://image.cvh.ac.cn/files/l/SM/SM713100320.jpg,,,,,,,,,, +荛花,Wikstroemia canescens,C.W.Wang,70333,19350900,云南省 ,2700,,,有花无果,https://image.cvh.ac.cn/files/l/LBG/00071832.jpg,,,,,,,,,, +荛花,Wikstroemia canescens,"汪劲武,施志诚",405,19770924,陕西省,600,山坡,,有花无果,https://image.cvh.ac.cn/files/l/PE/01059717.jpg,,,,,,,,,, +白蜡叶荛花,Wikstroemia ligustrina,K.L.Chu,7585,,,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01068202.jpg,,,,,,,,,, +白蜡叶荛花,Wikstroemia ligustrina,黄河队,2837,19550817,陕西省,0,,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0469793.jpg,,,,,,,,,, +白蜡叶荛花,Wikstroemia ligustrina,"韩裕丰,邓坤梅,陈永瑞",81-1814,19810825,云南省,2900,澜沧江河谷东侧坡地,,有花无果,https://image.cvh.ac.cn/files/l/PE/01597467.jpg,,,,,,,,,, +,Willughbeia edulis,,,,,,,,,,,,,,,,,,, +隔蒴苘,Wissadula periplocifolia,Y.Chen,811,19260910,湖北省,0~1420,,,有花无果,https://image.cvh.ac.cn/files/l/N/110175429.jpg,,,,,,,,,, +隔蒴苘,Wissadula periplocifolia,刘心沂,26836,19360521,海南省,,路边寄生,,有花无果,https://image.cvh.ac.cn/files/l/PE/01932502.jpg,,,,,,,,,, +隔蒴苘,Wissadula periplocifolia,刘心祈,27532,19360706,海南省 ,0,grassy place,灌木,有花无果,https://image.cvh.ac.cn/files/l/KUN/0476024.jpg,,,,,,,,,, +山蟛蜞菊,Wollastonia montana,张代贵,81003005,20150629,湖南湘西,,生于山区沟谷中,草本,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU60208.jpg,,,,,,,,,, +山蟛蜞菊,Wollastonia montana,平乐县普查队,450330180913026LY,20180913,广西,98,灌丛,路旁,黄棕壤,一般野生,草本,有花无果,https://image.cvh.ac.cn/files/l/IBK/IBK00413201.jpg,,,,,,,,,, +山蟛蜞菊,Wollastonia montana,凌云普查队,4.51E+14,20130430,广西壮族自治区,824,阔叶林,林下,黄棕壤,,无花无果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0093836.jpg,,,,,,,,,, +,Wrightia arborea,M.Suzuki N.Acharya et al,9455043,19940720,,700~830,,,有花无果,https://image.cvh.ac.cn/files/l/PE/02101911.jpg,,,,,,,,,, +胭木,Wrightia arborea,C. W. Wang,77612,1936/08/,云南,950,,,无花有果,https://image.cvh.ac.cn/files/l/WUK/0048924.jpg,,,,,,,,,, +胭木,Wrightia arborea,李楠,钱丹等人,27962,20080503,广西,243m,山地路旁,灌木,有花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00049361.jpg,,,,,,,,,, +云南倒吊笔,Wrightia coccinea,邓良,2232,19560814,广东省,0,山谷荫处密林中,,有果无花,https://image.cvh.ac.cn/files/l/KUN/335755.jpg,,,,,,,,,, +云南倒吊笔,Wrightia coccinea,中越考察队,722,19641222,新安,370,石灰岩Bant doudvn林下山顶,,有果无花,https://image.cvh.ac.cn/files/l/KUN/335732.jpg,,,,,,,,,, +云南倒吊笔,Wrightia coccinea,C.W.Wang,75412,19360600,云南省 ,1520,,Vine,无花有果,https://image.cvh.ac.cn/files/l/NAS/NAS00207682.jpg,,,,,,,,,, +文官果,Xanthoceras sorbifolium,长春湖潭林场,,,吉林,,,,无花无果,https://image.cvh.ac.cn/files/l/CAF/CAF00024259.jpg,,,,,,,,,, +文冠果,Xanthoceras sorbifolium,温都苏,10030,19830624,内蒙古自治区,,,,无花无果,https://image.cvh.ac.cn/files/l/SZG/SZG00071785.jpg,,,,,,,,,, +文冠果,Xanthoceras sorbifolium,葛芳,1301065,20130509,山东省,140,村野,落叶灌木,有花无果,https://image.cvh.ac.cn/files/l/SDFGR/SDF1007327.jpg,,,,,,,,,, +黄缨菊,Xanthopappus subacaulis,T.P.Wang,7725,1937/9/17,四川,3100,,"herb,spiny",有花无果,https://image.cvh.ac.cn/files/l/WUK/0022832.jpg,,,,,,,,,, +黄缨菊,Xanthopappus subacaulis,王庆瑞 晏民生,11273,19820905,甘肃,3200,武文山草甸,草本,无花有果,https://image.cvh.ac.cn/files/l/NWTC/NWTC0093508.jpg,,,,,,,,,, +黄樱菊,Xanthopappus subacaulis,,4725,19180821,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/TIE/00037408.jpg,,,,,,,,,, +,Xerospermum noronhianum,M.F.Newman,1064,20000625,,350,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0417492.jpg,,,,,,,,,, +马松蒿,Xizangia bartschioides,陆露,Peter W Fritsch,张永彪,张明英,陈小涛,WH-2013-240,20130918,云南,3589,针叶林下路边,草本,,https://image.cvh.ac.cn/files/l/KUN/1385041.jpg,,,,,,,,,, +一支腊,Xylanche himalaica,C.W.Wang,68813,19350800,云南省,,,herb,有花无果,https://image.cvh.ac.cn/files/l/NKU/NK 010351.jpg,,,,,,,,,, +丁座草 ,Xylanche himalaica,代天伦 汤国华,乾宁64-45,19640717,四川,3700,松木林下,草本,无花无果,https://image.cvh.ac.cn/files/l/SM/SM717800061.jpg,,,,,,,,,, +一支腊,Xylanche himalaica,姜如碧,575,19840512,贵州省,1880,,,有花无果,https://image.cvh.ac.cn/files/l/IBSC/0547840.jpg,,,,,,,,,, +锐棱阴山荠,Yinshania acutangula,余岩、陈俊佩,2020009,20200714,四川,3165,路边,,有花有果,https://image.cvh.ac.cn/files/l/SZ/02020009.jpg,,,,,,,,,, +,Yinshania acutangula,"段光兴,赵一之",s.n.,19740830,内蒙古自治区,,,,有花有果,https://image.cvh.ac.cn/files/l/PE/01122371.jpg,,,,,,,,,, +锐棱阴山荠,Yinshania acutangula,W. Y. Hsia,3969,1933/8/30,宁夏,1800,,,无花无果,https://image.cvh.ac.cn/files/l/WUK/0004793.jpg,,,,,,,,,, +威氏阴山荠,Yinshania acutangula subsp. wilsonii,"于胜祥,候无同,张晓霞,赵以民",5190,20110810,西藏自治区,3046,沿途路旁,山坡沙质,,无花有果,https://image.cvh.ac.cn/files/l/PE/01981926.jpg,,,,,,,,,, +,Yinshania acutangula subsp. wilsonii,"Wilson, E.H.",3910,,,,,,,https://image.cvh.ac.cn/files/l/P/P00747190.jpg,,,,,,,,,, +威氏阴山荠,Yinshania acutangula subsp. wilsonii,D.E.Boufford et al.,35966,20060806,四川省,2850~2875,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01898991.jpg,,,,,,,,,, +,Yinshania zayuensis,"Forrest, George",13955,17-Jun,,,,,,https://image.cvh.ac.cn/files/l/E/E00386165.jpg,,,,,,,,,, +察隅阴山荠,Yinshania zayuensis,C.W.Wang,65236,19350800,西藏自治区,2800,Among woods,,有花有果,https://image.cvh.ac.cn/files/l/PE/01122418.jpg,,,,,,,,,, +察隅阴山荠,Yinshania zayuensis,C.W. Wang,65236,1935/08/,云南,2000,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0039324.jpg,,,,,,,,,, +细裂黄鹌菜,Youngia diversifolia,杨朝广,1093,19520808,北京市,,梁头,,有花无果,https://image.cvh.ac.cn/files/l/PE/01690748.jpg,,,,,,,,,, +细裂黄鹌菜,Youngia diversifolia,青藏队,7810,19760617,西藏自治区,4650,山坡石灰岩小丘,,有花无果,https://image.cvh.ac.cn/files/l/KUN/739781.jpg,,,,,,,,,, +细裂黄鹌菜,Youngia diversifolia,,11132,76.09.23,新疆维吾尔自治区 ,,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00044173.jpg,,,,,,,,,, +,Youngia paleacea,"Forrest, George",2708,12-Aug,,,,,,https://image.cvh.ac.cn/files/l/E/E00413058.jpg,,,,,,,,,, +羽裂黄鹌菜,Youngia paleacea,"李世英,王庆瑞,黄大乐",108,19550713,青海省,2880,盐沼泽,,有花无果,https://image.cvh.ac.cn/files/l/PE/01552140.jpg,,,,,,,,,, +,Youngia paleacea,彭玉兰,452,20100727,四川,2809,松林下坡地,草本,有果无花,https://image.cvh.ac.cn/files/l/CDBI/CDBI0247445.jpg,,,,,,,,,, +叉枝黄鹌菜,Youngia tenuicaulis,鈡蒲求,8916,19580712,青海省,0,,,有花无果,https://image.cvh.ac.cn/files/l/HNWP/003316.jpg,,,,,,,,,, +叉枝黄鹌菜,Youngia tenuicaulis,,254,79.07.20,新疆维吾尔自治区 ,1316,,,无花无果,https://image.cvh.ac.cn/files/l/XJBI/00044176.jpg,,,,,,,,,, +叉枝黄鹌菜,Youngia tenuicaulis,,47,19580610,甘肃省,,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01691574.jpg,,,,,,,,,, +细叶黄鹌菜,Youngia tenuifolia,刘全儒,,20100828,北京市,1900,山坡草甸,草本,,https://image.cvh.ac.cn/files/l/BNU/0022949.jpg,,,,,,,,,, +细叶黄鹌菜,Youngia tenuifolia,黄土队(晋),4476,1984/10/7,山西,1050,,草本,有花无果,https://image.cvh.ac.cn/files/l/WUK/0454648.jpg,,,,,,,,,, +细叶黄鹌菜,Youngia tenuifolia,张粤、张淑梅、苏道岩、付伟、魏志文,XM277,20140917,内蒙古自治区通辽市,950.3,草原,,无花无果,https://image.cvh.ac.cn/files/l/IFP/IFP0237891.jpg,,,,,,,,,, +,Youngia wilsonii,彭玉兰,356,20100724,四川,1945,路边坡地,草本,有花无果,https://image.cvh.ac.cn/files/l/CDBI/CDBI0247044.jpg,,,,,,,,,, +刺花椒,Zanthoxylum acanthopodium,刘正宇,970082,19970719,重庆,700,山地溪边,灌木,无花有果,https://image.cvh.ac.cn/files/l/IMC/IMC0087246.jpg,,,,,,,,,, +,Zanthoxylum acanthopodium,T.Naito et al. ,316,19860428,四川省,1650~1700,,,无花无果,https://image.cvh.ac.cn/files/l/PE/00692400.jpg,,,,,,,,,, +刺花椒,Zanthoxylum acanthopodium,詹选怀、彭焱松等,LXP3599,20150520,湖南,1086,山坡、疏林、溪边,灌木,无花有果,https://image.cvh.ac.cn/files/l/LBG/LBG00140391.jpg,,,,,,,,,, +竹叶花椒,Zanthoxylum armatum,荣昌队,351,19780810,四川,,栽培,落叶灌木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM707902136.jpg,,,,,,,,,, +竹叶花椒,Zanthoxylum armatum,平乐县普查队,450330170724020LY,20170724,广西,233,阔叶林,林下,黄棕壤,少野生,灌木,无花有果,https://image.cvh.ac.cn/files/l/IBK/IBK00412882.jpg,,,,,,,,,, +竹叶花椒(原变种),Zanthoxylum armatum,叶华谷、邢福武,9368,20031201,澳门,0,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0388721.jpg,,,,,,,,,, +毛竹叶花椒,Zanthoxylum armatum var. ferrugineum,孙航,周浙昆,俞宏渊,4192,19930228,西藏自治区,1400,在森林旁,灌木,无花无果,https://image.cvh.ac.cn/files/l/KUN/0542263.jpg,,,,,,,,,, +毛竹叶花椒,Zanthoxylum armatum var. ferrugineum,刘正宇,2030337-01,20030402,贵州,650,路边灌丛,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0087437.jpg,,,,,,,,,, +毛竹叶花椒,Zanthoxylum armatum var. ferrugineum,王作宾,19077,19640427,甘肃省,1000,河滩,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0541950.jpg,,,,,,,,,, +花椒,Zanthoxylum bungeanum,,,19810720,天津市,,,乔木,无花有果,https://image.cvh.ac.cn/files/l/NKU/NK 013576.jpg,,,,,,,,,, +花椒,Zanthoxylum bungeanum,Forrest.,,,云南; YUNNAN,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/SYS00042536.jpg,,,,,,,,,, +花椒,Zanthoxylum bungeanum,李思锋,黎斌,张莹,陈昊等,12155,2009/7/29,陕西,2015,山坡密林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/525511.jpg,,,,,,,,,, +,Zanthoxylum burkillianum,,,,,,,,,,,,,,,,,,, +贵州花椒,Zanthoxylum esquirolii,钟树权,61936,1958/7/17,广西壮族自治区,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/WUK/0260008.jpg,,,,,,,,,, +贵州花椒,Zanthoxylum esquirolii,魏志平,2892,19581010,甘肃省,900,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/00024004.jpg,,,,,,,,,, +贵州花椒,Zanthoxylum esquirolii,黄宝优、胡雪阳、姚积军、刘威,451028130423136LY,20130423,广西,1412,灌丛,林缘,黄棕壤,灌木,无花有果,https://image.cvh.ac.cn/files/l/GXMG/GXMG0142733.jpg,,,,,,,,,, +大花花椒,Zanthoxylum macranthum,邓云飞等,10228,19970416,湖南省,1270,山顶,,无花有果,https://image.cvh.ac.cn/files/l/PE/01629423.jpg,,,,,,,,,, +大花花椒,Zanthoxylum macranthum,刘正宇,973823-01,19970405,重庆,700,溪边杂木林中,灌木,有花无果,https://image.cvh.ac.cn/files/l/IMC/IMC0087891.jpg,,,,,,,,,, +大花花椒,Zanthoxylum macranthum,华敬灿,337,19480416,云南省,1217,In woods,,有花无果,https://image.cvh.ac.cn/files/l/PE/00722005.jpg,,,,,,,,,, +,Zanthoxylum nepalense,M.Wakabayashi etc.,9730056,19970731,,2585,on roadsides,,无花有果,https://image.cvh.ac.cn/files/l/KUN/1261271.jpg,,,,,,,,,, +光叶花椒,Zanthoxylum nitidum,湘黔队,2498,19830725,贵州省,570,河谷林下,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/0544582.jpg,,,,,,,,,, +两面针,Zanthoxylum nitidum,袁淑芬 刘兰芳,5059,1962/3/3,广西,780,,藤本,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00042599.jpg,,,,,,,,,, +两面针,Zanthoxylum nitidum,F.A. McClure,,1921/9/9,Annam,,,,无花无果,https://image.cvh.ac.cn/files/l/SYS/sys00042742.jpg,,,,,,,,,, +毛叶两面针,Zanthoxylum nitidum var. tomentosum,保护区0701,,20081016,江西,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00056867.jpg,,,,,,,,,, +毛叶两面针,Zanthoxylum nitidum var. tomentosum,青藏队补点组,751185,19750803,西藏自治区,2480,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00693972.jpg,,,,,,,,,, +毛叶两面针,Zanthoxylum nitidum var. tomentosum,孙,,19520101,湖南,,,,无花无果,https://image.cvh.ac.cn/files/l/BJFC/BJFC00023273.jpg,,,,,,,,,, +尖叶花椒,Zanthoxylum oxyphyllum,M.K.Li,1095,19391102,云南省 ,2770,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0411579.jpg,,,,,,,,,, +尖叶花椒,Zanthoxylum oxyphyllum,B.Bartholomew,1657,19840512,,2400,,,有花无果,https://image.cvh.ac.cn/files/l/PE/01692646.jpg,,,,,,,,,, +尖叶花椒,Zanthoxylum oxyphyllum,"刘成, 亚吉东, 何华杰, 李昌洪",16CS11804,20161109,西藏,2210,河谷杂木林,灌木,无花有果,https://image.cvh.ac.cn/files/l/KUN/1445452.jpg,,,,,,,,,, +川陕花椒,Zanthoxylum piasezkii,,90,,,,,灌木,无花无果,https://image.cvh.ac.cn/files/l/WUK/0075415.jpg,,,,,,,,,, +川陕花椒,Zanthoxylum piasezkii,李思峰、黎斌、陈昊,14744,20101004,甘肃,976,山坡灌木丛中,灌木,无花有果,https://image.cvh.ac.cn/files/l/XBGH/005790.jpg,,,,,,,,,, +川陕花椒,Zanthoxylum piasezkii,"朱长山,李世晋,侯学良,朱世新,李家美,张云霞,李景照,张若鹏",14080590,20140805,河南省,,,乔木,无花无果,https://image.cvh.ac.cn/files/l/AU/AU064169.jpg,,,,,,,,,, +一种花椒,Zanthoxylum pilosulum,刘立品,86,19820705,甘肃,,阳坡灌丛,灌木,无花有果,https://image.cvh.ac.cn/files/l/QYTC/QYTC0000206.jpg,,,,,,,,,, +微柔毛花椒,Zanthoxylum pilosulum,谢登峰、卫静丽,2027130,20190920,四川,4613,,,有花无果,https://image.cvh.ac.cn/files/l/SZ/02027130.jpg,,,,,,,,,, +微柔毛花椒,Zanthoxylum pilosulum,Wang Chen-Hwa,503,,,,,,无花有果,https://image.cvh.ac.cn/files/l/PE/00722368.jpg,,,,,,,,,, +,Zanthoxylum rhetsa,,,,,,,,,,,,,,,,,,, +青花椒,Zanthoxylum schinifolium,陈功锡、张代贵、孙林、肖佳伟,LXP-06-5390,20150922,湖南,89,平地、壤土、阳处、常见种,陆生、灌木、直立,无花有果,https://image.cvh.ac.cn/files/l/SYS/SYS00197036.jpg,,,,,,,,,, +青花椒,Zanthoxylum schinifolium,刘长江等,257,19570606,山东省,500,林下 平地,,无花有果,https://image.cvh.ac.cn/files/l/PE/01812282.jpg,,,,,,,,,, +青花椒,Zanthoxylum schinifolium,卢东升,200405006,2005.05.,河南,200,,,无花无果,https://image.cvh.ac.cn/files/l/HENU/1016866.jpg,,,,,,,,,, +狭叶花椒,Zanthoxylum stenophyllum,林文豹,344,19580609,湖北省,,山坡丛生,,无花有果,https://image.cvh.ac.cn/files/l/PE/00723412.jpg,,,,,,,,,, +狭叶花椒,Zanthoxylum stenophyllum,方明渊,,19580618,湖北,,,灌木,无花有果,https://image.cvh.ac.cn/files/l/SM/SM707903164.jpg,,,,,,,,,, +狭叶花椒,Zanthoxylum stenophyllum,张泽荣,25398,19580630,重庆市,1280,路旁,,无花有果,https://image.cvh.ac.cn/files/l/PE/00723446.jpg,,,,,,,,,, +毡毛花椒,Zanthoxylum tomentellum,K.M.Feng,3862,19400514,云南省,2200,沟边灌丛中,,无花有果,https://image.cvh.ac.cn/files/l/PE/00723496.jpg,,,,,,,,,, +毡毛花椒,Zanthoxylum tomentellum,C.W.Wang,66857,19351000,云南省 ,3000,,,无花有果,https://image.cvh.ac.cn/files/l/IBSC/0412306.jpg,,,,,,,,,, +毡毛花椒,Zanthoxylum tomentellum,方震东、和光,XZ-312,20070925,西藏自治区,2517,高山栎林,,无花无果,https://image.cvh.ac.cn/files/l/SABG/SABG 002181.jpg,,,,,,,,,, +浪叶花椒,Zanthoxylum undulatifolium,张代贵,1405200314,20140520,湖南,829,灌丛中,小乔木,无花有果,https://image.cvh.ac.cn/files/l/JIU/JIU63018.jpg,,,,,,,,,, +浪叶花椒,Zanthoxylum undulatifolium,北京队,2938,19880710,,420~520,,,无花有果,https://image.cvh.ac.cn/files/l/HUST/00032001.jpg,,,,,,,,,, +浪叶花椒,Zanthoxylum undulatifolium,壶瓶山考察队,1166,19870708,湖南省,1100~1300,常绿阔叶林下,,无花有果,https://image.cvh.ac.cn/files/l/PE/01802560.jpg,,,,,,,,,, diff --git a/appkits/qpyapp/tests/allure-results/7d79a662-230d-4378-a0c0-824287d3c089-result.json b/appkits/qpyapp/tests/allure-results/7d79a662-230d-4378-a0c0-824287d3c089-result.json new file mode 100644 index 0000000..af58980 --- /dev/null +++ b/appkits/qpyapp/tests/allure-results/7d79a662-230d-4378-a0c0-824287d3c089-result.json @@ -0,0 +1 @@ +{"name": "test_read_local_proxies", "status": "passed", "start": 1736152014164, "stop": 1736152014167, "uuid": "ad60d67c-f17b-4534-9414-c69ceae6c0cf", "historyId": "8a984f6c4b3e118eddc29fe6b212563e", "testCaseId": "8a984f6c4b3e118eddc29fe6b212563e", "fullName": "tests.usecases.test_proxy_checker#test_read_local_proxies", "labels": [{"name": "parentSuite", "value": "tests.usecases"}, {"name": "suite", "value": "test_proxy_checker"}, {"name": "host", "value": "Patricks-MacBook-Pro.local"}, {"name": "thread", "value": "91373-MainThread"}, {"name": "framework", "value": "pytest"}, {"name": "language", "value": "cpython3"}, {"name": "package", "value": "tests.usecases.test_proxy_checker"}]} \ No newline at end of file diff --git a/appkits/qpyapp/tests/usecases/__init__.py b/appkits/qpyapp/tests/usecases/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/appkits/qpyapp/tests/usecases/test_proxy_checker.py b/appkits/qpyapp/tests/usecases/test_proxy_checker.py new file mode 100644 index 0000000..da3baed --- /dev/null +++ b/appkits/qpyapp/tests/usecases/test_proxy_checker.py @@ -0,0 +1,7 @@ + +from qpycases import proxy_checker + +def test_read_local_proxies(): + proxy_urls = proxy_checker.read_local_proxies() + print(proxy_urls) + assert len(proxy_urls)>1 \ No newline at end of file diff --git a/datafarm/primary/intro-usage.md b/datafarm/primary/intro-usage.md new file mode 100644 index 0000000..52fbec4 --- /dev/null +++ b/datafarm/primary/intro-usage.md @@ -0,0 +1,37 @@ +## README +安装:使用python uv 安装所有依赖 +```shell +uv sync +``` +配置: +1. setting.toml 文件:REWORKSPACE 这个配置到本地目录 +2. 代码运行主要在: [test_standard_process.py](tests%2Floc_gov_bonds%2Ftest_standard_process.py) 这个文件 + +## 代码运行步骤: + +1. ```test_download_all_bonds``` 这个函数用来下载pdf文件 +修改年份范围和省份范围,可以指定某个省某个年份范围下载PDF,下载完成之后的文件目录结构:{REWORKSPACE}/<省份>/<年份> +![download-pdf.png](download-pdf.png) + +2```test_unzip_all_files``` 这个用来unzip下载的所有zip包里面的文件到指定目录all_files目录,修改省份和年份就可以 +![img_1.png](img_1.png) + +3```test_import_project_detail_data``` 用来将csv数据数据清洗,结构化,导入数据句,修改年份和省份, +从 **<年份>-<省份名>.csv** 文件中读取数据,清洗结果的文件是 ***cleanup-<年份>-<省份名>.csv*** +![img_1.png](img_1.png) +![img_2.png](img_2.png) + +4.```test_cleanup_import`` 直接从清洗过的文件中导入数据库,使用基本同第三步骤,主要发现有些原始文件保存数据库出错,然后修改 +一下清洗文件之后,直接导入 + +## 数据从哪里来 + +pdf文件下载完成之后, +1. 通过***WPS*** 的 ***PDF转换成EXCEL功能*** 批量转换PDF成EXCEL文件 +2. 从EXCEL文件中获取到相关的债券信息表格,复制到<年份>-<省份名>.csv 中间中 +3. 复制过程中尽可能的对齐数据,有偏差问题不大,但是取的值的列数需要对上,比如 +![img_3.png](img_3.png) +1,2,3,4是需要的数据,每行不对齐没有问题, +但是每行有数据的1,2,3,4顺序的值需要是正确对应的,中间有多少空行是可以在清洗时候处理的 +具体就是每行的:第1有数字的列代表了债券名称,第2个有值的列代表了项目名称,第4个有值的列代表了发行金额, +1和2,3和4中间有空列,每行都有不一样数量的空列都问题不大可以清洗 diff --git a/datafarm/primary/src/primary/adspower/README.md b/datafarm/primary/src/primary/adspower/README.md new file mode 100644 index 0000000..e69de29 diff --git a/datafarm/primary/src/primary/adspower/__init__.py b/datafarm/primary/src/primary/adspower/__init__.py new file mode 100644 index 0000000..18b876a --- /dev/null +++ b/datafarm/primary/src/primary/adspower/__init__.py @@ -0,0 +1 @@ +# from https://github.com/blnkoff/adspower.git \ No newline at end of file diff --git a/datafarm/primary/src/primary/adspower/_api_entity.py b/datafarm/primary/src/primary/adspower/_api_entity.py new file mode 100644 index 0000000..e8dc142 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/_api_entity.py @@ -0,0 +1,25 @@ +from abc import ABC, abstractmethod +from typing import Mapping, MutableMapping + + +class _APIEntity(ABC): + @property + @abstractmethod + def id(self) -> int | str: + pass + + @property + @abstractmethod + def name(self) -> str: + pass + + @abstractmethod + def to_dict(self) -> Mapping | MutableMapping: + pass + + def __str__(self): + str_ = f'{self.__class__.__name__}(id={self.id}; name={self.name})' + return str_ + + def __eq__(self, other): + return isinstance(other, _APIEntity) and self.to_dict() == other.to_dict() diff --git a/datafarm/primary/src/primary/adspower/_base_category.py b/datafarm/primary/src/primary/adspower/_base_category.py new file mode 100644 index 0000000..94c1108 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/_base_category.py @@ -0,0 +1,73 @@ +from abc import ABC, abstractmethod +from typing import Self, Optional, Any + + +class _BaseCategory(_APIEntity, ABC): + + def __init__(self, id_: int, name: str | None, remark: str | None): + self.__remark = remark + self.__name = name + self.__id = id_ + + @property + def id(self) -> int: + """ + :return: Id of the category + """ + return self.__id + + @property + def name(self) -> str | None: + """ + :return: Name of the category + """ + return self.__name + + @property + def remark(self) -> str | None: + """ + :return: Description of the category + """ + return self.__remark + + def to_dict(self) -> CategoryInfo: + """ + Converts the Category instance to the dictionary containing info about extension category + :return: Dictionary containing info about extension category + """ + return CategoryInfo( + id=self.id, + name=self.name, + remark=self.remark + ) + + @classmethod + @abstractmethod + def query(cls, id_: Optional[int] = None, page: int = 1, page_size: int = 100) -> list[Self]: + pass + + @classmethod + def _query(cls, id_: Optional[int] = None, name: Optional[str] = None, page: int = 1, page_size: int = 100) -> HandlingTuple: + path = '/api/v1/application/list' + data = { + 'page': page, + 'page_size': page_size, + } + + args = { + 'url': path, + 'params': data, + 'error_msg': 'Querying categories is failed' + } + + def handler(response: dict[str, Any]) -> list[Self]: + categories = [] + for category_info in response['list']: + if (not id_ or category_info['id'] == id_) and (not name or category_info['name'] == name): + categories.append(cls(int(category_info['id']), category_info['name'], category_info['remark'])) + if id_: + break + + return categories + + return args, handler diff --git a/datafarm/primary/src/primary/adspower/_base_group.py b/datafarm/primary/src/primary/adspower/_base_group.py new file mode 100644 index 0000000..5810d86 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/_base_group.py @@ -0,0 +1,133 @@ +from abc import ABC, abstractmethod +from typing import Optional, Any +from typing import Self +from adspower.types import GroupInfo +from adspower._api_entity import _APIEntity +from adspower.types import HandlingTuple +from adspower.utils import _convert_json + + +class _BaseGroup(_APIEntity, ABC): + def __init__(self, id_: int, name: str, remark: str | None) -> None: + self.__id = id_ + self.__name = name + self.__remark = remark + + def to_dict(self) -> GroupInfo: + """ + Converts the Group instance to the dictionary containing info about group + :return: Dictionary containing info about group + """ + return GroupInfo( + group_id=self.id, + group_name=self.name, + remark=self.remark + ) + + @classmethod + @abstractmethod + def create(cls, group_name: str, remark: Optional[str] = None) -> Self: + pass + + @classmethod + def _create(cls, group_name: str, remark: Optional[str] = None) -> HandlingTuple: + path = '/api/v1/group/create' + + data = {'group_name': group_name, 'remark': remark} + + args = { + 'url': path, + 'json': data, + 'error_msg': 'Creating group is failed' + } + + def handler(response: dict[str, Any]) -> Self: + response = _convert_json(response) + return cls(id_=response['group_id'], name=response['group_name'], remark=response['remark']) + + return args, handler + + @classmethod + @abstractmethod + def query( + cls, + name: Optional[str] = None, + profile_id: Optional[str] = None, + page_size: Optional[int] = 100, + ) -> list[Self]: + pass + + @classmethod + def _query( + cls, + name: Optional[str] = None, + profile_id: Optional[str] = None, + page_size: Optional[int] = 100, + ) -> HandlingTuple: + path = '/api/v1/group/list' + + params = { + 'group_name': name, + 'profile_id': profile_id, + 'page_size': page_size, + } + + args = { + 'url': path, + 'params': params, + 'error_msg': 'The group query is failed' + } + + def handler(response: dict[str, Any]) -> list[Self]: + groups = [] + for info in response['list']: + info = _convert_json(info) + groups.append(cls(id_=int(info['group_id']), name=info['group_name'], remark=info['remark'])) + + return groups + + return args, handler + + @property + def id(self) -> int: + """ + :return: Id of the group + """ + return self.__id + + @property + def name(self) -> str: + """ + :return: Name of the group + """ + return self.__name + + @property + def remark(self) -> str | None: + """ + :return: Description of the group + """ + return self.__remark + + @abstractmethod + def update(self, name: Optional[str] = None, remark: Optional[str] = None) -> None: + pass + + def _update(self, name: Optional[str] = None, remark: Optional[str] = None) -> HandlingTuple: + path = '/api/v1/group/update' + + if not name: + name = self.name + + data = {"group_id": self.id, "group_name": name, "remark": remark} + args = { + 'url': path, + 'json': data, + 'error_msg': 'Updating group is failed' + } + + def handler() -> None: + self.__name = name if name else self.__name + self.__remark = remark if remark else self.__remark + + return args, handler diff --git a/datafarm/primary/src/primary/adspower/_base_http_client.py b/datafarm/primary/src/primary/adspower/_base_http_client.py new file mode 100644 index 0000000..49d1229 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/_base_http_client.py @@ -0,0 +1,140 @@ +import time +from abc import ABC, abstractmethod +from typing import Any, Optional, Callable, ClassVar, Union +from httpx import USE_CLIENT_DEFAULT, Response +from httpx._client import UseClientDefault +from httpx._types import (URLTypes, RequestContent, RequestData, RequestFiles, QueryParamTypes, HeaderTypes, + CookieTypes, + AuthTypes, TimeoutTypes, RequestExtensions) +from adspower.exceptions import InvalidPortError, InternalAPIError, ExceededQPSError, APIRefusedError, ZeroResponseError + + +class _BaseHTTPClient(ABC): + _request_availability = 0 + _delay: ClassVar[float] = 0.9 + _timeout = 5.0 + + def __init__(self, port: int = 50325): + self._port = port + self._api_url = f'http://local.adspower.net:{self._port}' + + @property + def api_url(self) -> str: + return self._api_url + + @staticmethod + def _validate_response(response: Response, error_msg: str) -> None: + response.raise_for_status() + request = response.request + response_json = response.json() + + if response_json.get('message'): + raise InternalAPIError(request=request, response=response_json) + + if response_json['code'] != 0: + if 'Too many request per second, please check' in response_json['msg']: + raise ExceededQPSError + elif 'This feature is only available in paid subscriptions' in response_json['msg']: + raise APIRefusedError + else: + raise ZeroResponseError(error_msg, request, response_json) + + @classmethod + def set_delay(cls, value: float) -> None: + """ + Sets the delay between requests + :param value: Delay in seconds + :return: None + """ + if isinstance(value, Union[float, int]): + cls._delay = value + else: + raise TypeError('Delay must be a float') + + @classmethod + def set_timeout(cls, value: float) -> None: + """ + Sets the timeout of the request + :param value: Timeout in seconds + :return: None + """ + if isinstance(value, Union[float, int]): + cls._timeout = value + else: + raise TypeError('Timeout must be a float') + + @classmethod + def set_port(cls, value: int) -> None: + """ + Sets the port of the client. Use it only when your Local API has non-default port. + :param value: Port to be set + :return: None + """ + if 1 <= value <= 65535: + cls._port = value + cls._api_url = f'http://local.adspower.net:{value}' + else: + raise InvalidPortError(value) + + @classmethod + def available(cls) -> bool: + """ + Checks if the client is available. + :return: True if client is not locked due to delay, False otherwise + """ + current_time = time.time() + return cls._request_availability < current_time + + @staticmethod + @abstractmethod + def _delay_request(func: Callable) -> Callable: + pass + + @staticmethod + @abstractmethod + def _handle_request(func: Callable) -> Callable: + pass + + @property + def port(self) -> int: + return self._port + + @_handle_request + @_delay_request + @abstractmethod + def post( + self, + url: URLTypes, + *, + error_msg: str, + content: Optional[RequestContent] = None, + data: Optional[RequestData] = None, + files: Optional[RequestFiles] = None, + json: Optional[Any] = None, + params: Optional[QueryParamTypes] = None, + headers: Optional[HeaderTypes] = None, + cookies: Optional[CookieTypes] = None, + auth: AuthTypes | UseClientDefault = USE_CLIENT_DEFAULT, + follow_redirects: bool | UseClientDefault = USE_CLIENT_DEFAULT, + timeout: TimeoutTypes | UseClientDefault = USE_CLIENT_DEFAULT, + extensions: Optional[RequestExtensions] = None, + ) -> Response: + pass + + @_handle_request + @_delay_request + @abstractmethod + def get( + self, + url: URLTypes, + *, + error_msg: str, + params: QueryParamTypes | None = None, + headers: HeaderTypes | None = None, + cookies: CookieTypes | None = None, + auth: AuthTypes | UseClientDefault = USE_CLIENT_DEFAULT, + follow_redirects: bool | UseClientDefault = USE_CLIENT_DEFAULT, + timeout: TimeoutTypes | UseClientDefault = USE_CLIENT_DEFAULT, + extensions: RequestExtensions | None = None, + ) -> Response: + pass diff --git a/datafarm/primary/src/primary/adspower/_base_profile_api.py b/datafarm/primary/src/primary/adspower/_base_profile_api.py new file mode 100644 index 0000000..5662b37 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/_base_profile_api.py @@ -0,0 +1,568 @@ +from datetime import datetime +from typing import Optional, Self, Any +from abc import ABC, abstractmethod +from adspower._api_entity import _APIEntity +from ._base_group import _BaseGroup as Group +from ._base_category import _BaseCategory as Category +from adspower.types import (ProxyConfig, Cookies, FingerprintConfig, RepeatConfigType, ProfileInfo, + UserSort, IpChecker, HandlingTuple) +from .exceptions import InvalidProxyConfig + + +class _BaseProfileAPI(_APIEntity, ABC): + + def __init__( + self, + id_: str, + serial_number: int, + name: str | None, + group: Group, + domain_name: str | None, + username: str | None, + remark: str | None, + created_time: datetime, + category: Category | None, + ip: str | None, + ip_country: str | None, + ip_checker: IpChecker, + fakey: str | None, + password: str | None, + last_open_time: datetime | None + ): + self.__id = id_ + + self._serial_number = serial_number + self._name = name + self._group = group + self._domain_name = domain_name + self._username = username + self._remark = remark + self._created_time = created_time + self._ip = ip + self._ip_country = ip_country + self._password = password + self._ip_checker = ip_checker + self._category = category + self._fakey = fakey + self._last_open_time = last_open_time + + self._browser = None + + @staticmethod + @abstractmethod + def _get_init_args(response: dict[str, Any]) -> dict[str, Any]: + pass + + @classmethod + @abstractmethod + def create( + cls, + group: Group, + name: Optional[str] = None, + domain_name: Optional[str] = None, + open_urls: Optional[list[str]] = None, + repeat_config: Optional[RepeatConfigType] = None, + username: Optional[str] = None, + password: Optional[str] = None, + fakey: Optional[str] = None, + cookies: Optional[Cookies] = None, + ignore_cookie_error: bool = False, + ip: Optional[str] = None, + ip_country: Optional[str] = None, + region: Optional[str] = None, + city: Optional[str] = None, + remark: Optional[str] = None, + ip_checker: Optional[IpChecker] = None, + category: Optional[Category] = None, + proxy_config: Optional[ProxyConfig] = None, + fingerprint_config: Optional[FingerprintConfig] = None + ) -> Self: + pass + + @classmethod + def _create( + cls, + group: Group, + name: Optional[str] = None, + domain_name: Optional[str] = None, + open_urls: Optional[list[str]] = None, + repeat_config: Optional[RepeatConfigType] = None, + username: Optional[str] = None, + password: Optional[str] = None, + fakey: Optional[str] = None, + cookies: Optional[Cookies] = None, + ignore_cookie_error: bool = False, + ip: Optional[str] = None, + ip_country: Optional[str] = None, + region: Optional[str] = None, + city: Optional[str] = None, + remark: Optional[str] = None, + ip_checker: Optional[IpChecker] = None, + category: Optional[Category] = None, + proxy_config: Optional[ProxyConfig] = None, + fingerprint_config: Optional[FingerprintConfig] = None + ) -> HandlingTuple: + path = '/api/v1/user/create' + + if not proxy_config: + proxy_config = {'proxy_soft': 'no_proxy'} + else: + proxy_config = cls.__parse_proxy_config(proxy_config) + + data = { + 'group_id': group.id, + 'name': name, + 'domain_name': domain_name, + 'open_urls': open_urls, + 'username': username, + 'repeat_config': repeat_config, + 'password': password, + 'fakey': fakey, + 'cookie': cookies, + 'ignore_cookie_error': ignore_cookie_error, + 'ip': ip, + 'country': ip_country, + 'region': region, + 'city': city, + 'remark': remark, + 'ip_checker': ip_checker, + 'sys_app_cate_id': category.id if category else 0, + 'user_proxy_config': proxy_config, + 'fingerprint_config': fingerprint_config + } + + args = { + 'url': path, + 'json': data, + 'error_msg': 'The profile creation is failed' + } + + def handler(response: dict[str, Any]) -> list[Self]: + return cls.query(group=group, id_=response['id']) + + return args, handler + + @classmethod + @abstractmethod + def query( + cls, + group: Optional[Group] = None, + id_: Optional[str] = None, + serial_number: Optional[int] = None, + user_sort: Optional[UserSort] = None, + page: int = 1, + page_size: int = 100, + ) -> list[Self]: + pass + + @classmethod + def _query( + cls, + group: Optional[Group] = None, + id_: Optional[str] = None, + name: Optional[str] = None, + serial_number: Optional[int] = None, + user_sort: Optional[UserSort] = None, + page: int = 1, + page_size: int = 100, + ) -> HandlingTuple: + path = '/api/v1/user/list' + + data = { + 'group_id': group.id if group else None, + 'user_id': id_, + 'serial_number': serial_number, + 'user_sort': user_sort, + 'page_size': page_size, + 'page': page + } + + args = { + 'url': path, + 'params': data, + 'error_msg': 'Querying the profile is failed' + } + + def handler(response: dict[str, Any]) -> list[Self]: + profiles = [] + for profile_info in response['list']: + profile_info = cls._get_init_args(profile_info) + + if name is None or profile_info['name'] == name: + profiles.append(cls(**profile_info)) + return profiles + + return args, handler + + @classmethod + @abstractmethod + def delete_cache( + cls + ) -> None: + pass + + @classmethod + def _delete_cache( + cls + ) -> HandlingTuple: + path = '/api/v1/user/delete-cache' + args = { + 'url': path, + 'error_msg': 'Deleting cache is failed' + } + + def handler() -> None: + pass + + return args, handler + + @property + def id(self) -> str: + """ + :return: Id of the profile + """ + return self.__id + + @property + def serial_number(self) -> int: + """ + :return: Serial number of the profile + """ + return self._serial_number + + @property + def name(self) -> str | None: + """ + :return: Name of the profile + """ + return self._name + + @property + def group(self) -> Group: + """ + :return: Group where the profile is located + """ + return self._group + + @property + def domain_name(self) -> str | None: + """ + :return: Domain name, such as facebook.com, amazon.com... Will open when getting the browser + """ + return self._domain_name + + @property + def username(self) -> str | None: + """ + :return: Username for the domain name (e.g. facebook.com, amazon) + """ + return self._username + + @property + def remark(self) -> str | None: + """ + :return: Description of the profile + """ + return self._remark + + @property + def created_time(self) -> datetime: + """ + :return: Creation time of the profile + """ + return self._created_time + + @property + def ip(self) -> str | None: + """ + :return: Proxy IP used for an account to log in. None when proxy software is not lumauto or oxylabs. + """ + return self._ip + + @property + def ip_country(self) -> str | None: + """ + :return: Country of the proxy ip + """ + return self._ip_country + + @property + def ip_checker(self) -> IpChecker: + """ + :return: IP checker for the profile. It can be 'ip2location' or 'ipapi' + """ + return self._ip_checker + + @property + def password(self) -> str | None: + """ + :return: Password for the domain name (e.g. facebook.com, amazon) + """ + return self._password + + @property + def last_open_time(self) -> datetime | None: + """ + :return: Last open time of the profile + """ + return self._last_open_time + + @property + def category(self) -> Category | None: + """ + :return: Extension category of the profile + """ + return self._category + + @property + def fakey(self) -> str | None: + """ + :return: 2FA-key for the domain name (e.g. facebook.com, amazon). + This applies to online 2FA code generator, which works similarly to authenticators. + """ + return self._fakey + + def to_dict(self) -> ProfileInfo: + """ + Converts the Profile/ProfileAPI instance to the dictionary containing info about profile + :return: Dictionary containing info about profile + """ + return ProfileInfo( + profile_id=self.id, + serial_number=self.serial_number, + name=self.name, + group_id=self.group.id, + group_name=self.group.name, + domain_name=self.domain_name, + username=self.username, + remark=self.remark, + category_id=category.id if (category := self.category) else None, + created_time=int(self.created_time.timestamp()), + ip=self.ip, + ip_country=self.ip_country, + ip_checker=self.ip_checker, + fakey=self.fakey, + password=self.password + ) + + @staticmethod + def __parse_proxy_config(proxy_config: ProxyConfig | None) -> dict[str, Any] | None: + if proxy_config: + try: + parsed_proxy = { + 'proxy_soft': proxy_config['soft'], + 'proxy_type': proxy_config['type'], + 'proxy_host': proxy_config['host'], + 'proxy_port': str(proxy_config['port']), + 'proxy_user': proxy_config['user'], + 'proxy_password': proxy_config['password'] + } + return parsed_proxy + except (KeyError, TypeError): + raise InvalidProxyConfig(proxy_config) + else: + return None + + @abstractmethod + def _get_browser( + self, + ip_tab: bool = True, + new_first_tab: bool = True, + launch_args: Optional[list[str]] = None, + headless: bool = False, + disable_password_filling: bool = False, + clear_cache_after_closing: bool = False, + enable_password_saving: bool = False + ) -> HandlingTuple: + profile_id = self.id + path = '/api/v1/browser/start' + + params = { + 'user_id': profile_id, + 'ip_tab': int(ip_tab), + 'new_first_tab': int(new_first_tab), + 'launch_args': launch_args, + 'headless': int(headless), + 'disable_password_filling': int(disable_password_filling), + 'clear_cache_after_closing': int(clear_cache_after_closing), + 'enable_password_saving': int(enable_password_saving) + } + + args = { + 'url': path, + 'params': params, + 'error_msg': 'Getting browser is failed' + } + + def handler() -> None: + self._profile_id = profile_id + self.__last_open_time = datetime.now() + + return args, handler + + def _update( + self, + name: Optional[str] = None, + domain_name: Optional[str] = None, + open_urls: Optional[list[str]] = None, + username: Optional[str] = None, + password: Optional[str] = None, + fakey: Optional[str] = None, + cookies: Optional[Cookies] = None, + ignore_cookie_error: bool = False, + ip: Optional[str] = None, + ip_country: Optional[str] = None, + region: Optional[str] = None, + city: Optional[str] = None, + remark: Optional[str] = None, + category: Optional[Category] = None, + proxy_config: Optional[ProxyConfig] = None, + fingerprint_config: Optional[FingerprintConfig] = None + ) -> HandlingTuple: + path = '/api/v1/user/update' + proxy_config = self.__parse_proxy_config(proxy_config) + + data = { + 'user_id': self.id, + 'name': name, + 'domain_name': domain_name, + 'open_urls': open_urls, + 'username': username, + 'password': password, + 'fakey': fakey, + 'cookie': cookies, + 'ignore_cookie_error': int(ignore_cookie_error), + 'ip': ip, + 'country': ip_country, + 'region': region, + 'sys_app_cate_id': category.id if category else None, + 'remark': remark, + 'city': city, + 'user_proxy_config': proxy_config, + 'fingerprint_config': fingerprint_config + } + + args = { + 'url': path, + 'json': data, + 'error_msg': 'Updating profile is failed' + } + + def handler() -> None: + data.pop('city') + data.pop('user_id') + data.pop('user_proxy_config') + data.pop('fingerprint_config') + data.pop('ignore_cookie_error') + + data['ip_country'] = data.pop('country') + data['category'] = Category.query(id_) if (id_ := data.pop('sys_app_cate_id')) else self.category + + for key, value in data.items(): + if value is not None: + self.__setattr__(f'_{key}', value) + + return args, handler + + @abstractmethod + def update( + self, + name: Optional[str] = None, + domain_name: Optional[str] = None, + open_urls: Optional[list[str]] = None, + username: Optional[str] = None, + password: Optional[str] = None, + fakey: Optional[str] = None, + cookies: Optional[Cookies] = None, + ignore_cookie_error: bool = False, + ip: Optional[str] = None, + ip_country: Optional[str] = None, + region: Optional[str] = None, + city: Optional[str] = None, + remark: Optional[str] = None, + category: Optional[Category] = None, + proxy_config: Optional[ProxyConfig] = None, + fingerprint_config: Optional[FingerprintConfig] = None + ) -> None: + pass + + def _move(self, group: Group) -> HandlingTuple: + path = '/api/v1/user/regroup' + + data = { + 'user_ids': [self.id], + 'group_id': group.id + } + + args = { + 'url': path, + 'json': data, + 'error_msg': f'Moving profile is failed. Profile ID: {self.id}. Group ID: {group.id}' + } + + def handler() -> None: + self._group = group + + return args, handler + + @abstractmethod + def move(self, group: Group) -> None: + pass + + def _active(self) -> HandlingTuple: + path = '/api/v1/browser/active' + + data = { + 'user_id': self.id + } + + args = { + 'url': path, + 'json': data, + 'error_msg': 'Checking browser for activity is failed' + } + + def handler(response: dict[str, Any]) -> bool: + active = response['status'] == 'Active' + return active + + return args, handler + + @abstractmethod + def active(self) -> bool: + pass + + def _delete(self) -> HandlingTuple: + path = '/api/v1/user/delete' + + data = {'user_ids': [self.id]} + + args = { + 'url': path, + 'json': data, + 'error_msg': 'The profile deletion is failed' + } + + def handler() -> None: pass + + return args, handler + + @abstractmethod + def delete(self) -> None: + pass + + @abstractmethod + def _quit(self) -> HandlingTuple: + path = '/api/v1/browser/stop' + profile_id = self.id + + params = {'user_id': profile_id} + args = { + 'url': path, + 'params': params, + 'error_msg': 'Quitting profile is failed. Profile can be already closed' + } + + def handler() -> None: pass + + return args, handler diff --git a/datafarm/primary/src/primary/adspower/async_api/__init__.py b/datafarm/primary/src/primary/adspower/async_api/__init__.py new file mode 100644 index 0000000..702b138 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/async_api/__init__.py @@ -0,0 +1,4 @@ +from .group import Group +from .category import Category +from .http_client import HTTPClient +from .profile_api import ProfileAPI \ No newline at end of file diff --git a/datafarm/primary/src/primary/adspower/async_api/_base_profile.py b/datafarm/primary/src/primary/adspower/async_api/_base_profile.py new file mode 100644 index 0000000..6a4c10c --- /dev/null +++ b/datafarm/primary/src/primary/adspower/async_api/_base_profile.py @@ -0,0 +1,50 @@ +from abc import ABC, abstractmethod +from typing import Optional, AsyncContextManager +from adspower.async_api import ProfileAPI, Group +from contextlib import asynccontextmanager + + +class _BaseProfile(ProfileAPI, ABC): + async def __aenter__(self): + browser = await self.get_browser() + return browser + + async def __aexit__(self, exc_type, exc_val, exc_tb): + await self.quit() + + @classmethod + @asynccontextmanager + async def anonymous(cls, group: Group) -> AsyncContextManager: + profile = await cls.create(group=group) + try: + yield await profile.get_browser() + finally: + await profile.quit() + await profile.delete() + + @property + @abstractmethod + def browser(self): + pass + + @abstractmethod + async def get_browser( + self, + ip_tab: bool = False, + new_first_tab: bool = True, + launch_args: Optional[list[str]] = None, + headless: bool = False, + disable_password_filling: bool = False, + clear_cache_after_closing: bool = False, + enable_password_saving: bool = False, + close_tabs: bool = True, + ): + pass + + @abstractmethod + def close_tabs(self) -> None: + pass + + @abstractmethod + async def quit(self) -> None: + pass diff --git a/datafarm/primary/src/primary/adspower/async_api/category.py b/datafarm/primary/src/primary/adspower/async_api/category.py new file mode 100644 index 0000000..746110a --- /dev/null +++ b/datafarm/primary/src/primary/adspower/async_api/category.py @@ -0,0 +1,37 @@ +from typing import Self, Optional, ClassVar +from adspower._base_category import _BaseCategory +from .http_client import HTTPClient + + +class Category(_BaseCategory): + _client: ClassVar[type[HTTPClient]] = HTTPClient + + def __init__(self, id_: int, name: str | None, remark: str | None): + """ + The class interacting with extension categories. You can use an extension category to specify extensions for + profiles + :param id_: Id of the extension category + :param name: Name of the extension category + :param remark: Description of the extension category + """ + super().__init__(id_, name, remark) + + @classmethod + async def query(cls, id_: Optional[int] = None, name: Optional[str] = None, page: int = 1, page_size: int = 100) -> list[Self]: + """ + Query the list of extension categories. + :param id_: Id of the extension category + :param name: Name of the extension category + :param page: Number of page in returning list. Default value - 1. + Numbers of elements in returning list is equal to the range(page, page + page_size) + :param page_size: Maximum length of returning list. Default value - 100 + + :return: List of categories + """ + http_client = cls._client + args, handler = cls._query(id_, name, page, page_size) + + async with http_client() as client: + response = (await client.get(**args)).json()['data'] + + return handler(response) diff --git a/datafarm/primary/src/primary/adspower/async_api/group.py b/datafarm/primary/src/primary/adspower/async_api/group.py new file mode 100644 index 0000000..eb0267f --- /dev/null +++ b/datafarm/primary/src/primary/adspower/async_api/group.py @@ -0,0 +1,73 @@ +from typing import ClassVar, Optional +from typing import Self +from adspower._base_group import _BaseGroup +from .http_client import HTTPClient + + +class Group(_BaseGroup): + _client: ClassVar[type[HTTPClient]] = HTTPClient + + def __init__(self, id_: int, name: str, remark: str | None) -> None: + """ + The class interacting with groups. You can use groups to combine profiles + :param id_: Id of the group + :param name: Name of the group + :param remark: Description of the group + """ + super().__init__(id_, name, remark) + + @classmethod + async def create(cls, name: str, remark: Optional[str] = None) -> Self: + """ + Create a new group + + :param name: Name of the group + :param remark: Description of the group + :return: Instance of the Group + """ + http_client = cls._client + args, handler = cls._create(name, remark) + async with http_client() as client: + response = (await client.post(**args)).json()['data'] + + return handler(response) + + @classmethod + async def query( + cls, + name: Optional[str] = None, + profile_id: Optional[str] = None, + page_size: Optional[int] = 100, + ) -> list[Self]: + """ + Query the list of groups. + + :param name: Name of the group + :param profile_id: ID of existing profile in AdsPower + :param page_size: Maximum length of returning list. Default value - 100 + + :return: List of groups + """ + http_client = cls._client + args, handler = cls._query(name, profile_id, page_size) + + async with http_client() as client: + response = (await client.get(**args)).json()['data'] + + return handler(response) + + async def update(self, name: Optional[str] = None, remark: Optional[str] = None) -> None: + """ + Updates a group name or description for the existing group + + :param name: Name of the group + :param remark: Description of the group + :return: None + """ + http_client = self._client + args, handler = self._update(name, remark) + + async with http_client() as client: + (await client.post(**args)) + + handler() diff --git a/datafarm/primary/src/primary/adspower/async_api/http_client.py b/datafarm/primary/src/primary/adspower/async_api/http_client.py new file mode 100644 index 0000000..26cf271 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/async_api/http_client.py @@ -0,0 +1,121 @@ +import asyncio +import time +from functools import wraps +from typing import Any, Optional, Callable, Awaitable +from httpx import AsyncClient, USE_CLIENT_DEFAULT, Response, ConnectError, InvalidURL +from httpx._client import UseClientDefault +from httpx._types import (URLTypes, RequestContent, RequestData, RequestFiles, QueryParamTypes, HeaderTypes, + CookieTypes, + AuthTypes, TimeoutTypes, RequestExtensions) +from urllib3.exceptions import MaxRetryError, NewConnectionError +from adspower.exceptions import UnavailableAPIError +from adspower._base_http_client import _BaseHTTPClient + + +class HTTPClient(AsyncClient, _BaseHTTPClient): + def __init__(self): + """ + HTTPClient is a wrapper around httpx's AsyncClient to make it easier to perform requests against Local API. + You can customize internal behaviour of the package using HTTPClient`s methods, such as `set_timeout`, `set_port`, + `set_delay` and get information about client availability using `available` + """ + port = 50325 + _BaseHTTPClient.__init__(self, port) + AsyncClient.__init__(self, base_url=self._api_url, timeout=self._timeout) + + @staticmethod + def _delay_request(func: Callable[..., Awaitable[Response]]): + @wraps(func) + async def wrapper(*args, **kwargs) -> Any: + current_time = time.time() + + if _BaseHTTPClient.available(): + result = await func(*args, **kwargs) + _BaseHTTPClient._request_availability = time.time() + HTTPClient._delay + else: + await asyncio.sleep(HTTPClient._request_availability - current_time) + _BaseHTTPClient._request_availability = time.time() + HTTPClient._delay + result = await func(*args, **kwargs) + + return result + + return wrapper + + @staticmethod + def _handle_request(func: Callable[..., Awaitable[Response]]): + @wraps(func) + async def wrapper( + self: "HTTPClient", + *args, + **kwargs, + ) -> Response: + try: + await super().get('/status') + except (MaxRetryError, ConnectError, NewConnectionError, ConnectionRefusedError, InvalidURL): + raise UnavailableAPIError(self._port) + else: + response = await func(self, *args, **kwargs) + HTTPClient._validate_response(response, kwargs['error_msg']) + return response + + return wrapper + + @_handle_request + @_delay_request + async def post( + self, + url: URLTypes, + *, + error_msg: str, + content: Optional[RequestContent] = None, + data: Optional[RequestData] = None, + files: Optional[RequestFiles] = None, + json: Optional[Any] = None, + params: Optional[QueryParamTypes] = None, + headers: Optional[HeaderTypes] = None, + cookies: Optional[CookieTypes] = None, + auth: AuthTypes | UseClientDefault = USE_CLIENT_DEFAULT, + follow_redirects: bool | UseClientDefault = USE_CLIENT_DEFAULT, + timeout: TimeoutTypes | UseClientDefault = USE_CLIENT_DEFAULT, + extensions: Optional[RequestExtensions] = None, + ) -> Response: + return await super().post( + url=url, + content=content, + data=data, + files=files, + json=json, + params=params, + headers=headers, + cookies=cookies, + auth=auth, + follow_redirects=follow_redirects, + timeout=timeout, + extensions=extensions + ) + + @_handle_request + @_delay_request + async def get( + self, + url: URLTypes, + *, + error_msg: str, + params: QueryParamTypes | None = None, + headers: HeaderTypes | None = None, + cookies: CookieTypes | None = None, + auth: AuthTypes | UseClientDefault = USE_CLIENT_DEFAULT, + follow_redirects: bool | UseClientDefault = USE_CLIENT_DEFAULT, + timeout: TimeoutTypes | UseClientDefault = USE_CLIENT_DEFAULT, + extensions: RequestExtensions | None = None, + ) -> Response: + return await super().get( + url=url, + params=params, + headers=headers, + cookies=cookies, + auth=auth, + follow_redirects=follow_redirects, + timeout=timeout, + extensions=extensions + ) diff --git a/datafarm/primary/src/primary/adspower/async_api/playwright/__init__.py b/datafarm/primary/src/primary/adspower/async_api/playwright/__init__.py new file mode 100644 index 0000000..57fe0e1 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/async_api/playwright/__init__.py @@ -0,0 +1 @@ +from .profile import Profile, Group, Category diff --git a/datafarm/primary/src/primary/adspower/async_api/playwright/profile.py b/datafarm/primary/src/primary/adspower/async_api/playwright/profile.py new file mode 100644 index 0000000..fa9bddc --- /dev/null +++ b/datafarm/primary/src/primary/adspower/async_api/playwright/profile.py @@ -0,0 +1,150 @@ +from datetime import datetime +from typing import Optional, AsyncContextManager +from adspower.async_api._base_profile import _BaseProfile +from adspower.async_api.group import Group +from adspower.async_api.category import Category +from playwright.async_api import async_playwright, BrowserContext, Playwright, Browser +from adspower.types import IpChecker + + +class Profile(_BaseProfile): + def __init__( + self, + id_: str, + serial_number: int, + name: str | None, + group: Group, + domain_name: str | None, + username: str | None, + remark: str | None, + created_time: datetime, + category: Category | None, + ip: str | None, + ip_country: str | None, + ip_checker: IpChecker, + fakey: str | None, + password: str | None, + last_open_time: datetime | None + ): + """ + The class interacting with profile management. + + :param id_: Profile id + :param serial_number: Serial number of the profile + :param name: Name of the profile + :param group: Group where the profile is located + :param domain_name: Domain name, such as facebook.com, amazon.com... Will open when getting the browser. + :param username: If username duplication is allowed, leave here empty. + :param remark: Description of the profile + :param created_time: Creation time of the profile + :param category: Extension category for the profile + :param ip: Proxy IP used for an account to log in. Fill in when proxy software is lumauto or oxylabs. + :param ip_country: Country or region your lumauto and oxylabs account belongs to. Without lumauto and oxylabs IP please enter country. + :param ip_checker: IP checker for the profile. Choose from ['ip2location', 'ipapi'] + :param fakey: 2FA-key. This applies to online 2FA code generator, which works similarly to authenticators. + :param password: If password duplication is allowed, leave here empty. + :param last_open_time: Last open time of the profile + """ + super().__init__( + id_, + serial_number, + name, + group, + domain_name, + username, + remark, + created_time, + category, + ip, + ip_country, + ip_checker, + fakey, + password, + last_open_time, + ) + self.__playwright: Playwright | None = None + self.__browser_app: Browser | None = None + + @classmethod + async def anonymous(cls, group: Group) -> AsyncContextManager[BrowserContext]: + return super().anonymous(group) + + async def __aenter__(self) -> BrowserContext: + return await super().__aenter__() + + @property + def browser(self) -> BrowserContext: + """ + :return: WebDriver connected to the profile if it's open, None otherwise + """ + return self._browser + + async def get_browser( + self, + ip_tab: bool = True, + new_first_tab: bool = True, + launch_args: Optional[list[str]] = None, + headless: bool = False, + disable_password_filling: bool = False, + clear_cache_after_closing: bool = False, + enable_password_saving: bool = False, + close_tabs: bool = True + ) -> BrowserContext: + """ + Get a BrowserContext connected to the profile + :param ip_tab: Whether to open the ip detection page + :param new_first_tab: Whether to use the new version of the ip detection page + :param launch_args: Browser startup parameters. eg: --blink-settings=imagesEnabled=false: + Prohibit image loading. --disable-notifications: Disable notifications + :param headless: Whether to start the headless browser + :param disable_password_filling: Whether to disable the function of filling password + :param clear_cache_after_closing: Whether to delete the cache after closing the browser + :param enable_password_saving: Whether to allow password saving + :param close_tabs: Whether to close all startup tabs + :return: BrowserContext instance + """ + response = await self._get_browser( + ip_tab, + new_first_tab, + launch_args, + headless, + disable_password_filling, + clear_cache_after_closing, + enable_password_saving, + ) + + playwright = self.__playwright = (await async_playwright().start()) + browser_app = await playwright.chromium.connect_over_cdp(f'http://localhost:{response["debug_port"]}') + self.__browser_app = browser_app + browser = self._browser = browser_app.contexts[0] + + if close_tabs: + await self.close_tabs() + + return browser + + async def close_tabs(self) -> None: + """ + Closes all tabs, exclude current tab + :return: None + """ + browser = self._browser + new_page = await browser.new_page() + + for page in browser.pages: + if not (page is new_page): + await page.close() + + async def quit(self) -> None: + """ + Quit the browser + :return: None + """ + await self._quit() + await self._browser.close() + await self.__browser_app.close() + await self.__playwright.stop() + + self._browser = None + self.__playwright = None + self.__browser_app = None diff --git a/datafarm/primary/src/primary/adspower/async_api/profile_api.py b/datafarm/primary/src/primary/adspower/async_api/profile_api.py new file mode 100644 index 0000000..a00d23f --- /dev/null +++ b/datafarm/primary/src/primary/adspower/async_api/profile_api.py @@ -0,0 +1,380 @@ +from datetime import datetime +from typing import Optional, ClassVar, Self, Any +from abc import ABC, abstractmethod +from .category import Category +from .http_client import HTTPClient +from .group import Group +from adspower._base_profile_api import _BaseProfileAPI +from adspower.types import (ProxyConfig, Cookies, FingerprintConfig, RepeatConfigType, BrowserResponse, + UserSort, IpChecker) +from adspower.utils import _convert_json + + +class ProfileAPI(_BaseProfileAPI, ABC): + _client: ClassVar[type[HTTPClient]] = HTTPClient + + def __init__( + self, + id_: str, + serial_number: int, + name: str | None, + group: Group, + domain_name: str | None, + username: str | None, + remark: str | None, + created_time: datetime, + category: Category | None, + ip: str | None, + ip_country: str | None, + ip_checker: IpChecker, + fakey: str | None, + password: str | None, + last_open_time: datetime | None + ): + """ + The class interacting with profile management. It doesn't interact with getting a browser to use it with Selenium or + Playwright. If you want to interact with that, you need to use `Profile` class. + + :param id_: Profile id + :param serial_number: Serial number of the profile + :param name: Name of the profile + :param group: Group where the profile is located + :param domain_name: Domain name, such as facebook.com, amazon.com... Will open when getting the browser. + :param username: Username for the domain name (e.g. facebook.com, amazon) + :param remark: Description of the profile + :param created_time: Creation time of the profile + :param category: Extension category for the profile + :param ip: Proxy IP used for an account to log in. Fill in when proxy software is lumauto or oxylabs. + :param ip_country: Country or region your lumauto and oxylabs account belongs to. Without lumauto and oxylabs IP please enter country. + :param ip_checker: IP checker for the profile. Choose from ['ip2location', 'ipapi'] + :param fakey: 2FA-key for the domain name (e.g. facebook.com, amazon). + This applies to online 2FA code generator, which works similarly to authenticators. + :param password: Password for the domain name (e.g. facebook.com, amazon) + :param last_open_time: Last open time of the profile + """ + _BaseProfileAPI.__init__( + self, + id_, + serial_number, + name, group, + domain_name, + username, + remark, + created_time, + category, + ip, + ip_country, + ip_checker, + fakey, + password, + last_open_time + ) + + @staticmethod + def _get_init_args(response: dict[str, Any]) -> dict[str, Any]: + response = _convert_json(response) + + response['id_'] = response.pop('user_id') + response['category'] = Category(id_=id_, name=None, remark=None) if (id_ := response.pop('sys_app_cate_id')) else None + + last_open_time = response['last_open_time'] + response['created_time'] = datetime.fromtimestamp(response['created_time']) + response['last_open_time'] = datetime.fromtimestamp(last_open_time) if last_open_time else None + response['ip_checker'] = response.pop('ipchecker') + + response['group'] = Group(id_=response.pop('group_id'), name=response.pop('group_name'), remark=None) + + response.pop('fbcc_proxy_acc_id') + + return response + + @classmethod + async def create( + cls, + group: Group, + name: Optional[str] = None, + domain_name: Optional[str] = None, + open_urls: Optional[list[str]] = None, + repeat_config: Optional[RepeatConfigType] = None, + username: Optional[str] = None, + password: Optional[str] = None, + fakey: Optional[str] = None, + cookies: Optional[Cookies] = None, + ignore_cookie_error: bool = False, + ip: Optional[str] = None, + ip_country: Optional[str] = None, + region: Optional[str] = None, + city: Optional[str] = None, + remark: Optional[str] = None, + ip_checker: Optional[IpChecker] = None, + category: Optional[Category] = None, + proxy_config: Optional[ProxyConfig] = None, + fingerprint_config: Optional[FingerprintConfig] = None + ) -> Self: + """ + Create a new profile + + :param name: Name of the profile + :param group: Group where the profile is located + :param domain_name: Domain name, such as facebook.com, amazon.com... Will open when getting the browser. + :param open_urls: Other urls when opening browser. If leaving it empty, will open the domain name url. + :param repeat_config: Account deduplication. Default setting: Allow duplication. + 0: Allow duplication; + 2: Deduplication based on the account name/password; + 3: Deduplication based on cookie; + 4: Deduplication based on c_user (c_user is a specific tag for Facebook) + :param username: Username for the domain name (e.g. facebook.com, amazon) + :param remark: Description of the profile + :param category: Extension category for the profile + :param ip: Proxy IP used for an account to log in. Fill in when proxy software is lumauto or oxylabs. + :param ip_country: Country or region your lumauto and oxylabs account belongs to.Without lumauto and oxylabs IP please enter country. + :param region: State or province where account logged in. + :param city: City where account logged in. + :param ip_checker: IP checker for the profile. Choose from ['ip2location', 'ipapi'] + :param cookies: Cookies to be set when opening browser + :param ignore_cookie_error: 0:When the cookie verification fails, the cookie format is incorrectly returned directly + 1:When the cookie verification fails, filter out the data in the wrong format and keep the cookie in the correct format + Only supports netspace + :param fakey: 2FA-key for the domain name (e.g. facebook.com, amazon). + This applies to online 2FA code generator, which works similarly to authenticators. + :param password: Password for the domain name (e.g. facebook.com, amazon) + :param proxy_config: Dictionary containing proxy info + :param fingerprint_config: Dictionary containing fingerprint info + + :return: A Profile instance + """ + http_client = cls._client + args, handler = cls._create( + group, + name, + domain_name, + open_urls, + repeat_config, + username, + password, + fakey, + cookies, + ignore_cookie_error, + ip, + ip_country, + region, + city, + remark, + ip_checker, + category, + proxy_config, + fingerprint_config + ) + + async with http_client() as client: + response = (await client.post(**args)).json()['data'] + + return (await handler(response))[0] + + @classmethod + async def query( + cls, + group: Optional[Group] = None, + id_: Optional[str] = None, + name: Optional[str] = None, + serial_number: Optional[int] = None, + user_sort: Optional[UserSort] = None, + page: int = 1, + page_size: int = 100, + ) -> list[Self]: + """ + Query the list of profiles + :param group: Group where profiles are located + :param id_: Id of the profile + :param name: Name of the profile + :param serial_number: Serial number of the profile + :param user_sort: User sorting. Can be sorted by the specified type, supporting + three fields serial_number, last_open_time, created_time, and two values asc and desc. + :param page: Number of page in returning list. Default value - 1. + Numbers of elements in returning list is equal to the range(page, page + page_size) + :param page_size: Maximum length of returning list. Default value - 100 + :return: List of profiles + """ + http_client = cls._client + args, handler = cls._query( + group, + id_, + name, + serial_number, + user_sort, + page, + page_size + ) + + async with http_client() as client: + response = (await client.get(**args)).json()['data'] + + return handler(response) + + @classmethod + async def delete_cache(cls) -> None: + """ + Deletes cache of all profiles + :return: None + """ + http_client = cls._client + args, _ = cls._delete_cache() + + async with http_client() as client: + (await client.post(**args)) + + async def _get_browser( + self, + ip_tab: bool = True, + new_first_tab: bool = True, + launch_args: Optional[list[str]] = None, + headless: bool = False, + disable_password_filling: bool = False, + clear_cache_after_closing: bool = False, + enable_password_saving: bool = False + ) -> BrowserResponse: + http_client = self._client + + args, handler = super()._get_browser( + ip_tab, + new_first_tab, + launch_args, + headless, + disable_password_filling, + clear_cache_after_closing, + enable_password_saving + ) + async with http_client() as client: + response = (await client.get(**args)).json()['data'] + + handler() + return response + + async def update( + self, + name: Optional[str] = None, + domain_name: Optional[str] = None, + open_urls: Optional[list[str]] = None, + username: Optional[str] = None, + password: Optional[str] = None, + fakey: Optional[str] = None, + cookies: Optional[Cookies] = None, + ignore_cookie_error: bool = False, + ip: Optional[str] = None, + ip_country: Optional[str] = None, + region: Optional[str] = None, + city: Optional[str] = None, + remark: Optional[str] = None, + category: Optional[Category] = None, + proxy_config: Optional[ProxyConfig] = None, + fingerprint_config: Optional[FingerprintConfig] = None + ) -> None: + """ + Update the profile + + :param name: Name of the profile + :param domain_name: Domain name, such as facebook.com, amazon.com... Will open when getting the browser. + :param open_urls: Other urls when opening browser. If leaving it empty, will open the domain name url. + :param username: If username duplication is allowed, leave here empty. + :param remark: Description of the profile + :param category: Extension category for the profile + :param ip: Proxy IP used for an account to log in. Fill in when proxy software is lumauto or oxylabs. + :param ip_country: Country or region your lumauto and oxylabs account belongs to.Without lumauto and oxylabs IP please enter country. + :param region: State or province where account logged in. + :param city: City where account logged in. + :param fakey: 2FA-key. This applies to online 2FA code generator, which works similarly to authenticators. + :param cookies: Cookies to be set when opening browser + :param ignore_cookie_error: 0:When the cookie verification fails, the cookie format is incorrectly returned directly + 1:When the cookie verification fails, filter out the data in the wrong format and keep the cookie in the correct format + Only supports netspace + :param password: If password duplication is allowed, leave here empty. + :param proxy_config: Dictionary containing proxy info + :param fingerprint_config: Dictionary containing fingerprint info + """ + http_client = self._client + args, handler = self._update( + name, + domain_name, + open_urls, + username, + password, + fakey, + cookies, + ignore_cookie_error, + ip, + ip_country, + region, + city, + remark, + category, + proxy_config, + fingerprint_config + ) + + async with http_client() as client: + (await client.post(**args)) + + handler() + + async def move(self, group: Group) -> None: + """ + Move profile from one group to another + :param group: Group to which an account is to be moved, + :return: None + """ + http_client = self._client + args, handler = self._move(group) + + async with http_client() as client: + (await client.post(**args)) + + handler() + + async def active(self) -> bool: + """ + Return whether a browser is active + :return: True if browser is active, False otherwise + """ + args, handler = self._active() + http_client = self._client + + async with http_client() as client: + response = (await client.get(**args)).json()['data'] + + return handler(response) + + async def delete(self) -> None: + """ + Delete profile + :return: None + """ + http_client = self._client + args, _ = self._delete() + + async with http_client() as client: + (await client.post(**args)) + + @abstractmethod + async def close_tabs(self) -> None: + """ + Closes tabs in browser + :return: None + """ + pass + + async def _quit(self) -> None: + http_client = self._client + args, _ = super()._quit() + + async with http_client() as client: + (await client.get(**args)) + + @abstractmethod + async def quit(self) -> None: + """ + Closes current profile + + :raise QuittingProfileError: Quitting profile is failed. Profile can be already closed + :return: None + """ + pass diff --git a/datafarm/primary/src/primary/adspower/async_api/selenium/__init__.py b/datafarm/primary/src/primary/adspower/async_api/selenium/__init__.py new file mode 100644 index 0000000..57fe0e1 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/async_api/selenium/__init__.py @@ -0,0 +1 @@ +from .profile import Profile, Group, Category diff --git a/datafarm/primary/src/primary/adspower/async_api/selenium/profile.py b/datafarm/primary/src/primary/adspower/async_api/selenium/profile.py new file mode 100644 index 0000000..03852e1 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/async_api/selenium/profile.py @@ -0,0 +1,163 @@ +from datetime import datetime +from typing import Optional, AsyncContextManager +from selenium.webdriver.chrome.options import Options +from selenium.webdriver.chrome.service import Service +from selenium.webdriver.chrome.webdriver import WebDriver +from adspower.async_api._base_profile import _BaseProfile +from adspower.async_api.group import Group +from adspower.async_api.category import Category +from adspower.types import IpChecker + + +class Profile(_BaseProfile): + def __init__( + self, + id_: str, + serial_number: int, + name: str | None, + group: Group, + domain_name: str | None, + username: str | None, + remark: str | None, + created_time: datetime, + category: Category | None, + ip: str | None, + ip_country: str | None, + ip_checker: IpChecker, + fakey: str | None, + password: str | None, + last_open_time: datetime | None + ): + """ + The class interacting with profile management. + + :param id_: Profile id + :param serial_number: Serial number of the profile + :param name: Name of the profile + :param group: Group where the profile is located + :param domain_name: Domain name, such as facebook.com, amazon.com... Will open when getting the browser. + :param username: If username duplication is allowed, leave here empty. + :param remark: Description of the profile + :param created_time: Creation time of the profile + :param category: Extension category for the profile + :param ip: Proxy IP used for an account to log in. Fill in when proxy software is lumauto or oxylabs. + :param ip_country: Country or region your lumauto and oxylabs account belongs to. Without lumauto and oxylabs IP please enter country. + :param ip_checker: IP checker for the profile. Choose from ['ip2location', 'ipapi'] + :param fakey: 2FA-key. This applies to online 2FA code generator, which works similarly to authenticators. + :param password: If password duplication is allowed, leave here empty. + :param last_open_time: Last open time of the profile + """ + super().__init__( + id_, + serial_number, + name, + group, + domain_name, + username, + remark, + created_time, + category, + ip, + ip_country, + ip_checker, + fakey, + password, + last_open_time, + ) + + @classmethod + async def anonymous(cls, group: Group) -> AsyncContextManager[WebDriver]: + return super().anonymous(group) + + async def __aenter__(self) -> WebDriver: + return await super().__aenter__() + + @property + def browser(self) -> WebDriver: + """ + :return: WebDriver connected to the profile if it's open, None otherwise + """ + return self._browser + + async def get_browser( + self, + ip_tab: bool = True, + new_first_tab: bool = True, + launch_args: Optional[list[str]] = None, + headless: bool = False, + disable_password_filling: bool = False, + clear_cache_after_closing: bool = False, + enable_password_saving: bool = False, + close_tabs: bool = True, + start_maximized: bool = True, + options: Options = Options() + ) -> WebDriver: + """ + Get a WebDriver connected to the profile + :param ip_tab: Whether to open the ip detection page + :param new_first_tab: Whether to use the new version of the ip detection page + :param launch_args: Browser startup parameters. eg: --blink-settings=imagesEnabled=false: + Prohibit image loading. --disable-notifications: Disable notifications + :param headless: Whether to start the headless browser + :param disable_password_filling: Whether to disable the function of filling password + :param clear_cache_after_closing: Whether to delete the cache after closing the browser + :param enable_password_saving: Whether to allow password saving + :param close_tabs: Whether to close all startup tabs + :param start_maximized: Whether to enable maximized window size at start + :param options: Options to pass to the WebDriver constructor + :return: WebDriver instance + """ + response = await self._get_browser( + ip_tab, + new_first_tab, + launch_args, + headless, + disable_password_filling, + clear_cache_after_closing, + enable_password_saving, + ) + + debugger_address = response['ws']['selenium'] + chrome_driver = response['webdriver'] + + options.add_experimental_option('debuggerAddress', debugger_address) + options.page_load_strategy = 'none' + + if not headless: + options.add_argument('--headless=new') + + service = Service(executable_path=chrome_driver) + browser = self._browser = WebDriver(service=service, options=options) + + if start_maximized: + browser.maximize_window() + + if close_tabs: + self.close_tabs() + + return browser + + def close_tabs(self) -> None: + """ + Closes all tabs, exclude current tab + :return: None + """ + browser = self._browser + original_window_handle = browser.current_window_handle + + windows = browser.window_handles + for window in windows: + if original_window_handle != window: + browser.switch_to.window(window) + browser.close() + + browser.switch_to.window(original_window_handle) + + async def quit(self) -> None: + """ + Quit the browser + :return: None + """ + await self._quit() + self._browser.quit() + self._browser = None diff --git a/datafarm/primary/src/primary/adspower/exceptions.py b/datafarm/primary/src/primary/adspower/exceptions.py new file mode 100644 index 0000000..b350ac9 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/exceptions.py @@ -0,0 +1,73 @@ +from typing import Any +from httpx import ConnectError, RequestError, Request + +from adspower import ProxyConfig + + +class ZeroResponseError(RequestError): + """Raised if response code is 0""" + + def __init__(self, message: str, request: Request, response: dict[str, Any]): + super().__init__(f"{message}. Response: {response}", request=request) + self.__response = response + + @property + def response(self) -> dict[str, Any]: + return self.__response + + +class ExceededQPSError(ConnectionRefusedError): + """Raised when amount of queries per second is exceeded""" + + def __init__(self): + super().__init__("Too many request per second, please try later") + + +class InternalAPIError(RequestError): + """Raised when an internal API error is encountered""" + + def __init__(self, request: Request, response: dict[str, Any]): + super().__init__(f'The internal API error is encountered. Response: {response}', request=request) + self.__response = response + + @property + def response(self) -> dict[str, Any]: + return self.__response + + +class UnavailableAPIError(ConnectError): + """Raised when API url specified with invalid port or AdsPower is not opened""" + + def __init__(self, port: int): + super().__init__(f"API url is specified with invalid port or AdsPower is not opened. Port is {port}") + self.__port = port + + @property + def port(self) -> Any: + return self.__port + + +class APIRefusedError(ConnectionRefusedError): + """Raised when user have no paid subscription to use API""" + + def __init__(self): + super().__init__("Local API is only available in paid subscriptions") + + +class InvalidPortError(TypeError): + """Raised when port is not represented as an integer between 1 and 65535""" + + def __init__(self, port: Any): + super().__init__(f"Port must be a number between 1 and 65535. You provided port {port}") + self.__port = port + + @property + def port(self) -> Any: + return self.__port + + +class InvalidProxyConfig(Exception): + """Raised when proxy config is invalid""" + + def __init__(self, proxy_config: ProxyConfig): + super().__init__(f"The proxy config is invalid. Config: {proxy_config}") diff --git a/datafarm/primary/src/primary/adspower/sync_api/__init__.py b/datafarm/primary/src/primary/adspower/sync_api/__init__.py new file mode 100644 index 0000000..91c148e --- /dev/null +++ b/datafarm/primary/src/primary/adspower/sync_api/__init__.py @@ -0,0 +1,4 @@ +from .group import Group +from .category import Category +from .http_client import HTTPClient +from .profile_api import ProfileAPI diff --git a/datafarm/primary/src/primary/adspower/sync_api/_base_profile.py b/datafarm/primary/src/primary/adspower/sync_api/_base_profile.py new file mode 100644 index 0000000..b9f783d --- /dev/null +++ b/datafarm/primary/src/primary/adspower/sync_api/_base_profile.py @@ -0,0 +1,50 @@ +from abc import ABC, abstractmethod +from contextlib import contextmanager +from typing import Optional, ContextManager +from adspower.sync_api import ProfileAPI, Group + + +class _BaseProfile(ProfileAPI, ABC): + def __enter__(self): + browser = self.get_browser() + return browser + + def __exit__(self, exc_type, exc_val, exc_tb): + self.quit() + + @classmethod + @contextmanager + def anonymous(cls, group: Group) -> ContextManager: + profile = cls.create(group=group) + try: + yield profile.get_browser() + finally: + profile.quit() + profile.delete() + + @property + @abstractmethod + def browser(self): + pass + + @abstractmethod + def get_browser( + self, + ip_tab: bool = False, + new_first_tab: bool = True, + launch_args: Optional[list[str]] = None, + headless: bool = False, + disable_password_filling: bool = False, + clear_cache_after_closing: bool = False, + enable_password_saving: bool = False, + close_tabs: bool = True + ): + pass + + @abstractmethod + def close_tabs(self) -> None: + pass + + @abstractmethod + def quit(self) -> None: + pass diff --git a/datafarm/primary/src/primary/adspower/sync_api/category.py b/datafarm/primary/src/primary/adspower/sync_api/category.py new file mode 100644 index 0000000..aaa23c2 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/sync_api/category.py @@ -0,0 +1,37 @@ +from typing import Self, Optional, ClassVar +from adspower._base_category import _BaseCategory +from .http_client import HTTPClient + + +class Category(_BaseCategory): + _client: ClassVar[type[HTTPClient]] = HTTPClient + + def __init__(self, id_: int, name: str | None, remark: str | None): + """ + The class interacting with extension categories. You can use an extension category to specify extensions for + profiles + :param id_: Id of the extension category + :param name: Name of the extension category + :param remark: Description of the extension category + """ + super().__init__(id_, name, remark) + + @classmethod + def query(cls, id_: Optional[int] = None, name: Optional[str] = None, page: int = 1, page_size: int = 100) -> list[Self]: + """ + Query the list of extension categories. + :param id_: Id of the extension category + :param name: Name of the extension category + :param page: Number of page in returning list. Default value - 1. + Numbers of elements in returning list is equal to the range(page, page + page_size) + :param page_size: Maximum length of returning list. Default value - 100 + + :return: List of categories + """ + http_client = cls._client + args, handler = cls._query(id_, name, page, page_size) + + with http_client() as client: + response = client.get(**args).json()['data'] + + return handler(response) diff --git a/datafarm/primary/src/primary/adspower/sync_api/group.py b/datafarm/primary/src/primary/adspower/sync_api/group.py new file mode 100644 index 0000000..c535ea9 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/sync_api/group.py @@ -0,0 +1,73 @@ +from typing import ClassVar, Optional +from typing import Self +from adspower._base_group import _BaseGroup +from .http_client import HTTPClient + + +class Group(_BaseGroup): + _client: ClassVar[type[HTTPClient]] = HTTPClient + + def __init__(self, id_: int, name: str, remark: str | None) -> None: + """ + The class interacting with groups. You can use groups to combine profiles + :param id_: Id of the group + :param name: Name of the group + :param remark: Description of the group + """ + super().__init__(id_, name, remark) + + @classmethod + def create(cls, name: str, remark: Optional[str] = None) -> Self: + """ + Create a new group + + :param name: Name of the group + :param remark: Description of the group + :return: Instance of the Group + """ + http_client = cls._client + args, handler = cls._create(name, remark) + with http_client() as client: + response = client.post(**args).json()['data'] + + return handler(response) + + @classmethod + def query( + cls, + name: Optional[str] = None, + profile_id: Optional[str] = None, + page_size: Optional[int] = 100, + ) -> list[Self]: + """ + Query the list of groups. + + :param name: Name of the group + :param profile_id: ID of existing profile in AdsPower + :param page_size: Maximum length of returning list. Default value - 100 + + :return: List of groups + """ + http_client = cls._client + args, handler = cls._query(name, profile_id, page_size) + + with http_client() as client: + response = client.get(**args).json()['data'] + + return handler(response) + + def update(self, name: Optional[str] = None, remark: Optional[str] = None) -> None: + """ + Updates a group name or description for the existing group + + :param name: Name of the group + :param remark: Description of the group + :return: None + """ + http_client = self._client + args, handler = self._update(name, remark) + + with http_client() as client: + client.post(**args) + + handler() diff --git a/datafarm/primary/src/primary/adspower/sync_api/http_client.py b/datafarm/primary/src/primary/adspower/sync_api/http_client.py new file mode 100644 index 0000000..3c6d292 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/sync_api/http_client.py @@ -0,0 +1,123 @@ +import time +from functools import wraps +from typing import Any, Optional, Callable +from httpx import Client, USE_CLIENT_DEFAULT, Response, ConnectError, InvalidURL +from httpx._client import UseClientDefault +from httpx._types import (URLTypes, RequestContent, RequestData, RequestFiles, QueryParamTypes, HeaderTypes, + CookieTypes, + AuthTypes, TimeoutTypes, RequestExtensions) +from urllib3.exceptions import MaxRetryError, NewConnectionError +from adspower.exceptions import UnavailableAPIError +from adspower._base_http_client import _BaseHTTPClient + + +class HTTPClient(Client, _BaseHTTPClient): + + def __init__(self): + """ + HTTPClient is a wrapper around httpx's Client to make it easier to perform requests against Local API. + You can customize internal behaviour of the package using HTTPClient`s methods, such as `set_timeout`, `set_port`, + `set_delay` and get information about client availability using `available` + """ + port = 50325 + _BaseHTTPClient.__init__(self, port) + Client.__init__(self, base_url=self._api_url, timeout=self._timeout) + + @staticmethod + def _delay_request(func: Callable[..., Response]): + + @wraps(func) + def wrapper(*args, **kwargs) -> Any: + current_time = time.time() + + if _BaseHTTPClient.available(): + result = func(*args, **kwargs) + _BaseHTTPClient._request_availability = time.time() + HTTPClient._delay + else: + time.sleep(HTTPClient._request_availability - current_time) + _BaseHTTPClient._request_availability = time.time() + HTTPClient._delay + result = func(*args, **kwargs) + + return result + + return wrapper + + @staticmethod + def _handle_request(func: Callable[..., Response]): + @wraps(func) + def wrapper( + self: "HTTPClient", + *args, + **kwargs, + ) -> Response: + try: + super().get('/status') + except (MaxRetryError, ConnectError, NewConnectionError, ConnectionRefusedError, InvalidURL): + raise UnavailableAPIError(self._port) + else: + response = func(self, *args, **kwargs) + HTTPClient._validate_response(response, kwargs['error_msg']) + + return response + + return wrapper + + @_handle_request + @_delay_request + def post( + self, + url: URLTypes, + *, + error_msg: str, + content: Optional[RequestContent] = None, + data: Optional[RequestData] = None, + files: Optional[RequestFiles] = None, + json: Optional[Any] = None, + params: Optional[QueryParamTypes] = None, + headers: Optional[HeaderTypes] = None, + cookies: Optional[CookieTypes] = None, + auth: AuthTypes | UseClientDefault = USE_CLIENT_DEFAULT, + follow_redirects: bool | UseClientDefault = USE_CLIENT_DEFAULT, + timeout: TimeoutTypes | UseClientDefault = USE_CLIENT_DEFAULT, + extensions: Optional[RequestExtensions] = None, + ) -> Response: + return super().post( + url=url, + content=content, + data=data, + files=files, + json=json, + params=params, + headers=headers, + cookies=cookies, + auth=auth, + follow_redirects=follow_redirects, + timeout=timeout, + extensions=extensions + ) + + @_handle_request + @_delay_request + def get( + self, + url: URLTypes, + *, + error_msg: str, + params: QueryParamTypes | None = None, + headers: HeaderTypes | None = None, + cookies: CookieTypes | None = None, + auth: AuthTypes | UseClientDefault = USE_CLIENT_DEFAULT, + follow_redirects: bool | UseClientDefault = USE_CLIENT_DEFAULT, + timeout: TimeoutTypes | UseClientDefault = USE_CLIENT_DEFAULT, + extensions: RequestExtensions | None = None, + ) -> Response: + return super().get( + url=url, + params=params, + headers=headers, + cookies=cookies, + auth=auth, + follow_redirects=follow_redirects, + timeout=timeout, + extensions=extensions + ) diff --git a/datafarm/primary/src/primary/adspower/sync_api/playwright/__init__.py b/datafarm/primary/src/primary/adspower/sync_api/playwright/__init__.py new file mode 100644 index 0000000..c3cfbaf --- /dev/null +++ b/datafarm/primary/src/primary/adspower/sync_api/playwright/__init__.py @@ -0,0 +1 @@ +from .profile import Profile, Group, Category \ No newline at end of file diff --git a/datafarm/primary/src/primary/adspower/sync_api/playwright/profile.py b/datafarm/primary/src/primary/adspower/sync_api/playwright/profile.py new file mode 100644 index 0000000..c59841c --- /dev/null +++ b/datafarm/primary/src/primary/adspower/sync_api/playwright/profile.py @@ -0,0 +1,150 @@ +from datetime import datetime +from typing import Optional, ContextManager +from adspower.sync_api._base_profile import _BaseProfile +from adspower.sync_api.group import Group +from adspower.sync_api.category import Category +from playwright.sync_api import sync_playwright, BrowserContext, Playwright, Browser +from adspower.types import IpChecker + + +class Profile(_BaseProfile): + def __init__( + self, + id_: str, + serial_number: int, + name: str | None, + group: Group, + domain_name: str | None, + username: str | None, + remark: str | None, + created_time: datetime, + category: Category | None, + ip: str | None, + ip_country: str | None, + ip_checker: IpChecker, + fakey: str | None, + password: str | None, + last_open_time: datetime | None + ): + """ + The class interacting with profile management. + + :param id_: Profile id + :param serial_number: Serial number of the profile + :param name: Name of the profile + :param group: Group where the profile is located + :param domain_name: Domain name, such as facebook.com, amazon.com... Will open when getting the browser. + :param username: If username duplication is allowed, leave here empty. + :param remark: Description of the profile + :param created_time: Creation time of the profile + :param category: Extension category for the profile + :param ip: Proxy IP used for an account to log in. Fill in when proxy software is lumauto or oxylabs. + :param ip_country: Country or region your lumauto and oxylabs account belongs to. Without lumauto and oxylabs IP please enter country. + :param ip_checker: IP checker for the profile. Choose from ['ip2location', 'ipapi'] + :param fakey: 2FA-key. This applies to online 2FA code generator, which works similarly to authenticators. + :param password: If password duplication is allowed, leave here empty. + :param last_open_time: Last open time of the profile + """ + super().__init__( + id_, + serial_number, + name, + group, + domain_name, + username, + remark, + created_time, + category, + ip, + ip_country, + ip_checker, + fakey, + password, + last_open_time, + ) + self.__playwright: Playwright | None = None + self.__browser_app: Browser | None = None + + def __enter__(self) -> BrowserContext: + return super().__enter__() + + @classmethod + def anonymous(cls, group: Group) -> ContextManager[BrowserContext]: + return super().anonymous(group) + + @property + def browser(self) -> BrowserContext | None: + """ + :return: BrowserContext connected to the profile, if it's open, None otherwise + """ + return self._browser + + def get_browser( + self, + ip_tab: bool = True, + new_first_tab: bool = True, + launch_args: Optional[list[str]] = None, + headless: bool = False, + disable_password_filling: bool = False, + clear_cache_after_closing: bool = False, + enable_password_saving: bool = False, + close_tabs: bool = True, + ) -> BrowserContext: + """ + Get a BrowserContext connected to the profile + :param ip_tab: Whether to open the ip detection page + :param new_first_tab: Whether to use the new version of the ip detection page + :param launch_args: Browser startup parameters. eg: --blink-settings=imagesEnabled=false: + Prohibit image loading. --disable-notifications: Disable notifications + :param headless: Whether to start the headless browser + :param disable_password_filling: Whether to disable the function of filling password + :param clear_cache_after_closing: Whether to delete the cache after closing the browser + :param enable_password_saving: Whether to allow password saving + :param close_tabs: Whether to close all startup tabs + :return: BrowserContext instance + """ + response = self._get_browser( + ip_tab, + new_first_tab, + launch_args, + headless, + disable_password_filling, + clear_cache_after_closing, + enable_password_saving, + ) + playwright = self.__playwright = sync_playwright().start() + browser_app = playwright.chromium.connect_over_cdp(f'http://localhost:{response["debug_port"]}') + self.__browser_app = browser_app + browser = self._browser = browser_app.contexts[0] + + if close_tabs: + self.close_tabs() + + return browser + + def close_tabs(self) -> None: + """ + Closes all tabs, exclude current tab + :return: None + """ + browser = self._browser + new_page = browser.new_page() + + for page in browser.pages: + if page != new_page: + page.close() + + def quit(self) -> None: + """ + Quit the browser + :return: None + """ + self._quit() + + self._browser.close() + self.__browser_app.close() + self.__playwright.stop() + + self._browser = None + self.__playwright = None + self.__browser_app = None diff --git a/datafarm/primary/src/primary/adspower/sync_api/profile_api.py b/datafarm/primary/src/primary/adspower/sync_api/profile_api.py new file mode 100644 index 0000000..6cd7de7 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/sync_api/profile_api.py @@ -0,0 +1,363 @@ +from datetime import datetime +from typing import Optional, ClassVar, Self, Any +from .category import Category +from .http_client import HTTPClient +from .group import Group +from adspower._base_profile_api import _BaseProfileAPI +from adspower.types import (ProxyConfig, Cookies, FingerprintConfig, RepeatConfigType, BrowserResponse, + UserSort, IpChecker) +from ..utils import _convert_json + + +class ProfileAPI(_BaseProfileAPI): + _client: ClassVar[type[HTTPClient]] = HTTPClient + + def __init__( + self, + id_: str, + serial_number: int, + name: str | None, + group: Group, + domain_name: str | None, + username: str | None, + remark: str | None, + created_time: datetime, + category: Category | None, + ip: str | None, + ip_country: str | None, + ip_checker: IpChecker, + fakey: str | None, + password: str | None, + last_open_time: datetime | None + ): + """ + The class interacting with profile management. It doesn't interact with getting a browser to use it with Selenium or + Playwright. If you want to interact with that, you need to use `Profile` class. + + :param id_: Profile id + :param serial_number: Serial number of the profile + :param name: Name of the profile + :param group: Group where the profile is located + :param domain_name: Domain name, such as facebook.com, amazon.com... Will open when getting the browser. + :param username: Username for the domain name (e.g. facebook.com, amazon) + :param remark: Description of the profile + :param created_time: Creation time of the profile + :param category: Extension category for the profile + :param ip: Proxy IP used for an account to log in. Fill in when proxy software is lumauto or oxylabs. + :param ip_country: Country or region your lumauto and oxylabs account belongs to. Without lumauto and oxylabs IP please enter country. + :param ip_checker: IP checker for the profile. Choose from ['ip2location', 'ipapi'] + :param fakey: 2FA-key for the domain name (e.g. facebook.com, amazon). + This applies to online 2FA code generator, which works similarly to authenticators. + :param password: Password for the domain name (e.g. facebook.com, amazon) + :param last_open_time: Last open time of the profile + """ + _BaseProfileAPI.__init__( + self, + id_, + serial_number, + name, group, + domain_name, + username, + remark, + created_time, + category, + ip, + ip_country, + ip_checker, + fakey, + password, + last_open_time + ) + + @staticmethod + def _get_init_args(response: dict[str, Any]) -> dict[str, Any]: + response = _convert_json(response) + + response['id_'] = response.pop('user_id') + response['category'] = Category(id_=id_, name=None, remark=None) if ( + id_ := response.pop('sys_app_cate_id')) else None + + last_open_time = response['last_open_time'] + response['created_time'] = datetime.fromtimestamp(response['created_time']) + response['last_open_time'] = datetime.fromtimestamp(last_open_time) if last_open_time else None + response['ip_checker'] = response.pop('ipchecker') + + response['group'] = Group(id_=response.pop('group_id'), name=response.pop('group_name'), remark=None) + + response.pop('fbcc_proxy_acc_id') + + return response + + @classmethod + def create( + cls, + group: Group, + name: Optional[str] = None, + domain_name: Optional[str] = None, + open_urls: Optional[list[str]] = None, + repeat_config: Optional[RepeatConfigType] = None, + username: Optional[str] = None, + password: Optional[str] = None, + fakey: Optional[str] = None, + cookies: Optional[Cookies] = None, + ignore_cookie_error: bool = False, + ip: Optional[str] = None, + ip_country: Optional[str] = None, + region: Optional[str] = None, + city: Optional[str] = None, + remark: Optional[str] = None, + ip_checker: Optional[IpChecker] = None, + category: Optional[Category] = None, + proxy_config: Optional[ProxyConfig] = None, + fingerprint_config: Optional[FingerprintConfig] = None + ) -> Self: + """ + Create a new profile + + :param name: Name of the profile + :param group: Group where the profile is located + :param domain_name: Domain name, such as facebook.com, amazon.com... Will open when getting the browser. + :param open_urls: Other urls when opening browser. If leaving it empty, will open the domain name url. + :param repeat_config: Account deduplication. Default setting: Allow duplication. + 0: Allow duplication; + 2: Deduplication based on the account name/password; + 3: Deduplication based on cookie; + 4: Deduplication based on c_user (c_user is a specific tag for Facebook) + :param username: Username for the domain name (e.g. facebook.com, amazon) + :param remark: Description of the profile + :param category: Extension category for the profile + :param ip: Proxy IP used for an account to log in. Fill in when proxy software is lumauto or oxylabs. + :param ip_country: Country or region your lumauto and oxylabs account belongs to.Without lumauto and oxylabs IP please enter country. + :param region: State or province where account logged in. + :param city: City where account logged in. + :param ip_checker: IP checker for the profile. Choose from ['ip2location', 'ipapi'] + :param fakey: 2FA-key for the domain name (e.g. facebook.com, amazon). + This applies to online 2FA code generator, which works similarly to authenticators. + :param password: Password for the domain name (e.g. facebook.com, amazon) + :param cookies: Cookies to be set when opening browser + :param ignore_cookie_error: 0:When the cookie verification fails, the cookie format is incorrectly returned directly + 1:When the cookie verification fails, filter out the data in the wrong format and keep the cookie in the correct format + Only supports netspace + :param proxy_config: Dictionary containing proxy info + :param fingerprint_config: Dictionary containing fingerprint info + + :return: A Profile instance + """ + http_client = cls._client + args, handler = cls._create( + group, + name, + domain_name, + open_urls, + repeat_config, + username, + password, + fakey, + cookies, + ignore_cookie_error, + ip, + ip_country, + region, + city, + remark, + ip_checker, + category, + proxy_config, + fingerprint_config + ) + + with http_client() as client: + response = client.post(**args).json()['data'] + + return handler(response)[0] + + @classmethod + def query( + cls, + group: Optional[Group] = None, + id_: Optional[str] = None, + name: Optional[str] = None, + serial_number: Optional[int] = None, + user_sort: Optional[UserSort] = None, + page: int = 1, + page_size: int = 100, + ) -> list[Self]: + """ + Query the list of profiles + :param group: Group where profiles are located + :param id_: Id of the profile + :param name: Name of the profile + :param serial_number: Serial number of the profile + :param user_sort: User sorting. Can be sorted by the specified type, supporting + three fields serial_number, last_open_time, created_time, and two values asc and desc. + :param page: Number of page in returning list. Default value - 1. + Numbers of elements in returning list is equal to the range(page, page + page_size) + :param page_size: Maximum length of returning list. Default value - 100 + :return: List of profiles + """ + http_client = cls._client + args, handler = cls._query( + group, + id_, + name, + serial_number, + user_sort, + page, + page_size + ) + + with http_client() as client: + response = client.get(**args).json()['data'] + + return handler(response) + + @classmethod + def delete_cache(cls) -> None: + """ + Deletes cache of all profiles + :return: None + """ + http_client = cls._client + args, _ = cls._delete_cache() + + with http_client() as client: + client.post(**args) + + def _get_browser( + self, + ip_tab: bool = True, + new_first_tab: bool = True, + launch_args: Optional[list[str]] = None, + headless: bool = False, + disable_password_filling: bool = False, + clear_cache_after_closing: bool = False, + enable_password_saving: bool = False + ) -> BrowserResponse: + http_client = self._client + + args, handler = super()._get_browser( + ip_tab, + new_first_tab, + launch_args, + headless, + disable_password_filling, + clear_cache_after_closing, + enable_password_saving + ) + + with http_client() as client: + response = client.get(**args).json()['data'] + + handler() + return response + + def update( + self, + name: Optional[str] = None, + domain_name: Optional[str] = None, + open_urls: Optional[list[str]] = None, + username: Optional[str] = None, + password: Optional[str] = None, + fakey: Optional[str] = None, + cookies: Optional[Cookies] = None, + ignore_cookie_error: bool = False, + ip: Optional[str] = None, + ip_country: Optional[str] = None, + region: Optional[str] = None, + city: Optional[str] = None, + remark: Optional[str] = None, + category: Optional[Category] = None, + proxy_config: Optional[ProxyConfig] = None, + fingerprint_config: Optional[FingerprintConfig] = None + ) -> None: + """ + Update the profile + + :param name: Name of the profile + :param domain_name: Domain name, such as facebook.com, amazon.com... Will open when getting the browser. + :param open_urls: Other urls when opening browser. If leaving it empty, will open the domain name url. + :param username: If username duplication is allowed, leave here empty. + :param remark: Description of the profile + :param category: Extension category for the profile + :param ip: Proxy IP used for an account to log in. Fill in when proxy software is lumauto or oxylabs. + :param ip_country: Country or region your lumauto and oxylabs account belongs to.Without lumauto and oxylabs IP please enter country. + :param region: State or province where account logged in. + :param city: City where account logged in. + :param fakey: 2FA-key. This applies to online 2FA code generator, which works similarly to authenticators. + :param cookies: Cookies to be set when opening browser + :param ignore_cookie_error: 0:When the cookie verification fails, the cookie format is incorrectly returned directly + 1:When the cookie verification fails, filter out the data in the wrong format and keep the cookie in the correct format + Only supports netspace + :param password: If password duplication is allowed, leave here empty. + :param proxy_config: Dictionary containing proxy info + :param fingerprint_config: Dictionary containing fingerprint info + """ + http_client = self._client + args, handler = self._update( + name, + domain_name, + open_urls, + username, + password, + fakey, + cookies, + ignore_cookie_error, + ip, + ip_country, + region, + city, + remark, + category, + proxy_config, + fingerprint_config + ) + + with http_client() as client: + client.post(**args) + + handler() + + def move(self, group: Group) -> None: + """ + Move profile from one group to another + :param group: Group to which an account is to be moved, + :return: None + """ + http_client = self._client + args, handler = self._move(group) + + with http_client() as client: + client.post(**args) + + handler() + + def active(self) -> bool: + """ + Return whether a browser is active + :return: True if browser is active, False otherwise + """ + args, handler = self._active() + http_client = self._client + + with http_client() as client: + response = client.get(**args).json()['data'] + + return handler(response) + + def delete(self) -> None: + """ + Delete profile + :return: None + """ + http_client = self._client + args, _ = self._delete() + + with http_client() as client: + client.post(**args) + + def _quit(self) -> None: + http_client = self._client + args, _ = super()._quit() + + with http_client() as client: + client.get(**args) diff --git a/datafarm/primary/src/primary/adspower/sync_api/selenium/__init__.py b/datafarm/primary/src/primary/adspower/sync_api/selenium/__init__.py new file mode 100644 index 0000000..57fe0e1 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/sync_api/selenium/__init__.py @@ -0,0 +1 @@ +from .profile import Profile, Group, Category diff --git a/datafarm/primary/src/primary/adspower/sync_api/selenium/profile.py b/datafarm/primary/src/primary/adspower/sync_api/selenium/profile.py new file mode 100644 index 0000000..56076d2 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/sync_api/selenium/profile.py @@ -0,0 +1,164 @@ +from datetime import datetime +from typing import Optional, ContextManager +from selenium.webdriver.chrome.options import Options +from selenium.webdriver.chrome.service import Service +from selenium.webdriver.chrome.webdriver import WebDriver +from adspower.sync_api._base_profile import _BaseProfile +from adspower.sync_api.group import Group +from adspower.sync_api.category import Category +from adspower.types import IpChecker + + +class Profile(_BaseProfile): + def __init__( + self, + id_: str, + serial_number: int, + name: str | None, + group: Group, + domain_name: str | None, + username: str | None, + remark: str | None, + created_time: datetime, + category: Category | None, + ip: str | None, + ip_country: str | None, + ip_checker: IpChecker, + fakey: str | None, + password: str | None, + last_open_time: datetime | None + ): + """ + The class interacting with profile management. + + :param id_: Profile id + :param serial_number: Serial number of the profile + :param name: Name of the profile + :param group: Group where the profile is located + :param domain_name: Domain name, such as facebook.com, amazon.com... Will open when getting the browser. + :param username: If username duplication is allowed, leave here empty. + :param remark: Description of the profile + :param created_time: Creation time of the profile + :param category: Extension category for the profile + :param ip: Proxy IP used for an account to log in. Fill in when proxy software is lumauto or oxylabs. + :param ip_country: Country or region your lumauto and oxylabs account belongs to. Without lumauto and oxylabs IP please enter country. + :param ip_checker: IP checker for the profile. Choose from ['ip2location', 'ipapi'] + :param fakey: 2FA-key. This applies to online 2FA code generator, which works similarly to authenticators. + :param password: If password duplication is allowed, leave here empty. + :param last_open_time: Last open time of the profile + """ + super().__init__( + id_, + serial_number, + name, + group, + domain_name, + username, + remark, + created_time, + category, + ip, + ip_country, + ip_checker, + fakey, + password, + last_open_time, + ) + + def __enter__(self) -> WebDriver: + return super().__enter__() + + @classmethod + def anonymous(cls, group: Group) -> ContextManager[WebDriver]: + return super().anonymous(group) + + @property + def browser(self) -> WebDriver: + """ + :return: WebDriver connected to the profile if it's open, None otherwise + """ + return self._browser + + def get_browser( + self, + ip_tab: bool = True, + new_first_tab: bool = True, + launch_args: Optional[list[str]] = None, + headless: bool = False, + disable_password_filling: bool = False, + clear_cache_after_closing: bool = False, + enable_password_saving: bool = False, + close_tabs: bool = True, + start_maximized: bool = True, + options: Options = Options() + ) -> WebDriver: + """ + Get a WebDriver connected to the profile + :param ip_tab: Whether to open the ip detection page + :param new_first_tab: Whether to use the new version of the ip detection page + :param launch_args: Browser startup parameters. eg: --blink-settings=imagesEnabled=false: + Prohibit image loading. --disable-notifications: Disable notifications + :param headless: Whether to start the headless browser + :param disable_password_filling: Whether to disable the function of filling password + :param clear_cache_after_closing: Whether to delete the cache after closing the browser + :param enable_password_saving: Whether to allow password saving + :param close_tabs: Whether to close all startup tabs + :param start_maximized: Whether to enable maximized window size at start + :param options: Options to pass to the WebDriver constructor + :return: WebDriver instance + """ + response = self._get_browser( + ip_tab, + new_first_tab, + launch_args, + headless, + disable_password_filling, + clear_cache_after_closing, + enable_password_saving, + ) + + debugger_address = response['ws']['selenium'] + chrome_driver = response['webdriver'] + + options.add_experimental_option('debuggerAddress', debugger_address) + options.page_load_strategy = 'none' + options.add_argument('--headless=new') + + if not headless: + options.add_argument('--headless=new') + + service = Service(executable_path=chrome_driver) + browser = self._browser = WebDriver(service=service, options=options) + + if start_maximized: + browser.maximize_window() + + if close_tabs: + self.close_tabs() + + return browser + + def close_tabs(self) -> None: + """ + Closes all tabs, exclude current tab + :return: None + """ + browser = self._browser + original_window_handle = browser.current_window_handle + + windows = browser.window_handles + for window in windows: + if original_window_handle != window: + browser.switch_to.window(window) + browser.close() + + browser.switch_to.window(original_window_handle) + + def quit(self) -> None: + """ + Quit the browser + :return: None + """ + self._quit() + self._browser.quit() + self._browser = None diff --git a/datafarm/primary/src/primary/adspower/types.py b/datafarm/primary/src/primary/adspower/types.py new file mode 100644 index 0000000..905b6dc --- /dev/null +++ b/datafarm/primary/src/primary/adspower/types.py @@ -0,0 +1,139 @@ +from typing import TypedDict, Literal, NotRequired, Any, Callable + +HandlingTuple = tuple[dict[str, dict | str], Callable[[dict[str, Any]], Any] | Callable[[], Any]] + +ProxySoft = Literal['luminati', 'lumauto', 'oxylabsatuto', '922S5', 'ipideaauto', 'ipfoxyauto', 'ssh', 'other', + 'no_proxy'] +IpChecker = Literal['ip2location', 'ipapi'] +RepeatConfigType = Literal[0, 2, 3, 4] +ProxyType = Literal['http', 'https', 'socks5'] +WebRtcType = Literal['forward', 'proxy', 'local', 'disabled'] +LocationType = Literal['ask', 'allow', 'block'] +FlashType = Literal['allow', 'block'] +DeviceNameType = Literal[0, 1, 2] +MediaDeviceType = Literal[0, 1, 2] +GPUType = Literal[0, 1, 2] +WebGLVersion = Literal[0, 2, 3] +Cookies = list[dict[str, Any]] | dict[str, Any] +IntBool = Literal[0, 1] + +UserSortKey = Literal['serial_number', 'last_open_time', 'created_time'] +UserSortValue = Literal['desc', 'asc'] +UserSort = dict[UserSortKey, UserSortValue] + + +class ProxyConfig(TypedDict): + soft: ProxySoft + type: ProxyType + host: str + port: int + user: str + password: str + + +class WebGLConfig(TypedDict): + unmasked_vendor: str + unmasked_renderer: str + webgpu: dict[str, Any] + + +class MediaDeviceConfig(TypedDict): + audioinput_num: int + videoinput_num: int + audiooutput_num: int + + +class RandomUserAgent(TypedDict): + ua_browser: list[str] + ua_version: list[int] + ua_system_version: list[str] + + +class MacAddressConfig(TypedDict): + model: int + address: str + + +class BrowserKernelConfig(TypedDict): + version: str + type: str + + +class FingerprintConfig(TypedDict): + automatic_timezone: NotRequired[IntBool] + timezone: NotRequired[str] + webrtc: NotRequired[WebRtcType] + location: NotRequired[LocationType] + location_switch: NotRequired[IntBool] + longitude: NotRequired[float] + latitude: NotRequired[float] + accuracy: NotRequired[int] + language: NotRequired[list[str]] + language_switch: NotRequired[IntBool] + page_language_switch: NotRequired[IntBool] + page_language: NotRequired[str] + ua: NotRequired[str] + screen_resolution: NotRequired[str] + fonts: NotRequired[list[str]] + canvas: NotRequired[IntBool] + webgl_image: NotRequired[IntBool] + webgl: NotRequired[WebGLVersion] + webgl_config: NotRequired[WebGLConfig] + audio: NotRequired[IntBool] + do_not_track: NotRequired[IntBool] + hardware_concurrency: NotRequired[int] + device_memory: NotRequired[int] + flash: NotRequired[IntBool | FlashType] + scan_port_type: NotRequired[IntBool] + allow_scan_ports: NotRequired[list[int]] + media_devices: NotRequired[MediaDeviceType] + media_devices_num: NotRequired[MediaDeviceConfig] + client_rects: NotRequired[IntBool] + device_name_switch: NotRequired[DeviceNameType] + device_name: NotRequired[str] + random_ua: NotRequired[RandomUserAgent] + speech_switch: NotRequired[IntBool] + mac_address_config: NotRequired[MacAddressConfig] + browser_kernel_config: NotRequired[BrowserKernelConfig] + gpu: NotRequired[GPUType] + + +class DebugInterface(TypedDict): + selenium: str + puppeteer: str + + +class BrowserResponse(TypedDict): + ws: DebugInterface + debug_port: str + webdriver: str + + +class GroupInfo(TypedDict): + group_id: int + group_name: str + remark: str + + +class CategoryInfo(TypedDict): + id: int + name: str + remark: str + + +class ProfileInfo(TypedDict): + profile_id: str + serial_number: int + name: str + group_id: int + group_name: str + domain_name: str + username: str + remark: str + created_time: int + category_id: int + ip: str + ip_country: str + ip_checker: str + fakey: str + password: str diff --git a/datafarm/primary/src/primary/adspower/utils.py b/datafarm/primary/src/primary/adspower/utils.py new file mode 100644 index 0000000..67dd8f3 --- /dev/null +++ b/datafarm/primary/src/primary/adspower/utils.py @@ -0,0 +1,69 @@ +import ctypes +import platform +import subprocess +from typing import TypeVar + +_KT = TypeVar('_KT') +_VT = TypeVar('_VT') + + +def _convert_json(data: dict[_KT, _VT]) -> dict[_KT, _VT]: + """ + Convert string representations of numbers to actual numeric types within a dictionary and convert + empty strings to None. + + :param data: A dictionary containing various key-value pairs. + :return: A dictionary with string representations of numbers converted to their actual numeric types. + """ + for key, value in data.items(): + if isinstance(value, str) and value.isdigit(): + data[key] = int(value) + elif isinstance(value, str) and _is_float(value): + data[key] = float(value) + elif isinstance(value, str) and not len(value): + data[key] = None + return data + + +def _is_float(__str: str) -> bool: + """ + Check if a string represents a floating-point number. + + :param __str: A string to check. + :return: True if the string represents a floating-point number, False otherwise. + """ + try: + float(__str) + return True + except ValueError: + return False + + +def _get_screen_size() -> tuple[int, int]: + os_name = platform.system() + if os_name == "Windows": + h = ctypes.windll.user32.GetDC(0) + width = ctypes.windll.gdi32.GetDeviceCaps(h, 118) + height = ctypes.windll.gdi32.GetDeviceCaps(h, 117) + ctypes.windll.user32.ReleaseDC(0, h) + return width, height + + elif os_name == "Darwin": + output = subprocess.run(['system_profiler', 'SPDisplaysDataType'], capture_output=True, text=True).stdout + for line in output.split('\n'): + if 'Resolution' in line: + parts = line.split() + width = int(parts[1]) + height = int(parts[3]) + return width, height + + elif os_name == "Linux": + output = subprocess.run(['xrandr'], capture_output=True, text=True).stdout + for line in output.split('\n'): + if '*' in line: + resolution = line.split()[0] + width, height = map(int, resolution.split('x')) + return width, height + + else: + raise NotImplementedError(f"OS {os_name} not supported") diff --git a/datafarm/primary/tests/adspower/__init__.py b/datafarm/primary/tests/adspower/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/datafarm/primary/tests/adspower/test_async_api.py b/datafarm/primary/tests/adspower/test_async_api.py new file mode 100644 index 0000000..f6130fb --- /dev/null +++ b/datafarm/primary/tests/adspower/test_async_api.py @@ -0,0 +1,99 @@ +import pytest +from typing import Callable, Coroutine +from selenium.webdriver.chrome.webdriver import WebDriver +from adspower.async_api import Group, Category, HTTPClient +from adspower.async_api.selenium import Profile as ProfileSelenium +from adspower.async_api.playwright import Profile as ProfilePlaywright + +HTTPClient.set_delay(1.1) +HTTPClient.set_timeout(30) +ProfileType = ProfileSelenium | ProfilePlaywright + + +class TestGroup: + @pytest.mark.asyncio + async def test_create(self, name, remark): + group = await Group.create(name=name, remark=remark) + group_to_check = (await Group.query(name=name))[0] + assert group == group_to_check + + @pytest.mark.asyncio + async def test_update(self, name, remark): + group = await Group.create(name=name, remark=remark) + await group.update(name=f'new{name}', remark='new_remark') + group_to_check = (await Group.query(name=f'new{name}'))[0] + assert group == group_to_check + + +class TestCategory: + @pytest.mark.asyncio + async def test_query(self, category_name): + categories = await Category.query() + assert len(categories) > 0 + + +@pytest.mark.parametrize('profile_cls', [ProfilePlaywright, ProfileSelenium]) +class TestProfile: + @pytest.fixture(scope="function") + def make_profile( + self, + profile_cls, + get_name, + get_remark + ) -> Callable[[], Coroutine[..., ..., tuple[ProfileType, type[ProfileType]]]]: + async def _make_profile() -> tuple[ProfileType, type[ProfileType]]: + + group = await Group.create(name=get_name(), remark=get_remark()) + profile = await profile_cls.create(name=get_name(), remark=get_remark(), group=group) + return profile, profile_cls + + return _make_profile + + @pytest.mark.asyncio + async def test_create(self, make_profile): + profile, profile_cls = await make_profile() + + profile_to_check = (await profile_cls.query(id_=profile.id))[0] + assert profile == profile_to_check + + @pytest.mark.asyncio + async def test_update(self, make_profile, name, remark): + profile, profile_cls = await make_profile() + + await profile.update(name=f'new{name}') + profile_to_check = (await profile_cls.query(id_=profile.id))[0] + assert profile == profile_to_check + + @pytest.mark.asyncio + async def test_delete(self, make_profile): + profile, profile_cls = await make_profile() + await profile.delete() + + try: + query = (await profile_cls.query(id_=profile.id))[0] + assert not query + except IndexError: + pass + + @pytest.mark.asyncio + async def test_move(self, make_profile, name, remark): + profile, profile_cls = await make_profile() + + name = profile.group.name + group = await Group.create(name=f'new{name}', remark=remark) + + group_id_before = profile.group.id + + await profile.move(group=group) + assert group_id_before != profile.group.id + + @pytest.mark.asyncio + async def test_get_browser(self, make_profile): + profile, profile_cls = await make_profile() + + async with profile as browser: + if isinstance(browser, WebDriver): + browser.get('https://google.com') + else: + page = browser.pages[0] + await page.goto('https://google.com') diff --git a/datafarm/primary/tests/adspower/test_sync_api.py b/datafarm/primary/tests/adspower/test_sync_api.py new file mode 100644 index 0000000..02704f6 --- /dev/null +++ b/datafarm/primary/tests/adspower/test_sync_api.py @@ -0,0 +1,89 @@ +from typing import Callable +import pytest +from selenium.webdriver.chrome.webdriver import WebDriver +from adspower.sync_api import Group, Category, HTTPClient +from adspower.sync_api.selenium import Profile as ProfileSelenium +from adspower.sync_api.playwright import Profile as ProfilePlaywright + +HTTPClient.set_delay(1.1) +ProfileType = ProfileSelenium | ProfilePlaywright + + +class TestGroup: + def test_create(self, name, remark): + group = Group.create(name=name, remark=remark) + group_to_check = Group.query(name=name)[0] + assert group == group_to_check + + def test_update(self, name, remark): + group = Group.create(name=name, remark=remark) + group.update(name=f'new{name}', remark='new_remark') + group_to_check = Group.query(name=f'new{name}')[0] + assert group == group_to_check + + +class TestCategory: + def test_query(self, category_name): + categories = Category.query() + assert len(categories) > 0 + + +@pytest.mark.parametrize('profile_cls', [ProfileSelenium, ProfilePlaywright]) +class TestProfile: + @pytest.fixture(scope="function") + def make_profile( + self, + profile_cls, + get_name, + get_remark + ) -> Callable[[], tuple[ProfileType, type[ProfileType]]]: + def _make_profile() -> tuple[ProfileType, type[ProfileType]]: + group = Group.create(name=get_name(), remark=get_remark()) + profile = profile_cls.create(name=get_name(), remark=get_remark(), group=group) + return profile, profile_cls + + return _make_profile + + def test_create(self, make_profile): + profile, profile_cls = make_profile() + + profile_to_check = profile_cls.query(id_=profile.id)[0] + assert profile == profile_to_check + + def test_update(self, make_profile, name, remark): + profile, profile_cls = make_profile() + + profile.update(name=f'new{name}') + profile_to_check = profile_cls.query(id_=profile.id)[0] + assert profile == profile_to_check + + def test_delete(self, make_profile): + profile, profile_cls = make_profile() + profile.delete() + + try: + query = profile_cls.query(id_=profile.id)[0] + assert not query + except IndexError: + pass + + def test_move(self, make_profile, name, remark): + profile, profile_cls = make_profile() + + name = profile.group.name + group = Group.create(name=f'new{name}', remark=remark) + + group_id_before = profile.group.id + + profile.move(group=group) + assert group_id_before != profile.group.id + + def test_get_browser(self, make_profile): + profile, profile_cls = make_profile() + + with profile as browser: + if isinstance(browser, WebDriver): + browser.get('https://google.com') + else: + page = browser.pages[0] + page.goto('https://google.com') diff --git a/datafarm/primary/tests/conftest.py b/datafarm/primary/tests/conftest.py new file mode 100644 index 0000000..5700479 --- /dev/null +++ b/datafarm/primary/tests/conftest.py @@ -0,0 +1,40 @@ +import uuid +from typing import Callable + +import pytest +from faker import Faker + + +@pytest.fixture(scope="function") +def name() -> str: + id_ = str(uuid.uuid4()) + return ''.join(id_.split('-')[:2]) + + +@pytest.fixture(scope="function") +def get_name() -> Callable[[], str]: + def _get_name() -> str: + id_ = str(uuid.uuid4()) + return ''.join(id_.split('-')[:2]) + return _get_name + + +@pytest.fixture(scope="function") +def remark() -> str: + fake = Faker() + remark = fake.text() + return remark + + +@pytest.fixture(scope="function") +def get_remark() -> Callable[[], str]: + def _get_remark() -> str: + fake = Faker() + remark = fake.text() + return remark + return _get_remark + + +@pytest.fixture(scope="function") +def category_name() -> str: + return 'my_category'

    1$e-2CbJbn&IL z>Eg|E>Fm{0>Gb7O-b4X=fejPfPru-Vr`xStw>;)MefqSSu?yv4ApNn3@)vA-PRv*| zj%%*(t)HpGnq5D|F-{ARs6KZ8;yTz)`jIo7H^Om)bIiUv=nSlW6W)=3@CScje*N{= z({KOwZ>KMQ@r&E^H=-AZo@>x8j{8M4ZU9NK!zaIKqyXJuD%4S>x^aU8EQ_@a_R_ea ze;UPjo=%H(5qLJH;MR*t_OtOp7QPfRed6w|d+FUD{5<{i2R};>?>tHy%X!-0-CyPf zc4OLr7n}{EJUR3)5#_5K?n0!=n}zAJ>cy_Td8V#aI1Y?*p{U;1UbJ-}~r+!-0@w zXr`1}z5x>PTNd;qxytEQDRdCB3`8fYG}IeMtv`gwv5PFOqfjNkH*GK%odTfKS2M8m zePV*W5Oqd_Z+8Ywc`4ThLCB%D(Yt9v1IQ}?6ufk(=S;1KSEQr+c0tJOY$c|g(wE+2$&lN!vGFRTfRsYQ zUzRhVf5E$LVQD%oEav4p?!JG|OO7=4zsHmTEI`b0+e`GT)H3W6Y!Rk|!u}|j9}#u8 zji{cammRtR-tzJmc^BW0*`Yn6+}EbGaC$DCx_Hun+uQ%@weCHFaO#kJ-{Fn5lFMY{+gGcmY(Fk-q1O?~@ zM`J}})5{$`2Sw-&&q8*ahK#TQ(@7%ty` zn11oo_tSgt{vthIdy-CUj(O7t043Pq(!(u)2|$G}muo8}EWg7;?PDHs>TgI7h6?}< zMxnpp>R)bXkNH_V$1u#~_X3j4$^9f_UGBhZ(<#s~<#s292z* zl5XiJjAwuSE;`6x*45@ne)Pgk=+8T}Nk4#e=)>FiOGloH$&30SIx^@Vo+cRcOx?s5 z%5vr}^5l{8621-FFm^{C@Un)~m`u{-B!IM?)s;2%@dS@Wfr&ztdlv#rI)h!Hh(_wL=s)9uWeGiE?1bP5kU zQMO#Z)Xut$R#PFMK>Fi{PFpq6AGxqHaJD)iSAs1uO0Ns!o8fHhA0NvoX z-g?WR+rR$T|N79n7}3$B=Mr>_h9$y&5$}#ElL0P4!|dw1S0Zfzngy^(0~ZU3?gYB= z9D0adT?34S!n-ZLlJJgbq}ynGkPTyo>7yV1^27AO2Op-f<1$2N=F;@kv=X33P_@B8 zn+5_8?>{OVGd!qxIXxh}^}rr+d{yl=q7+fj-8^Crx@Vmkkck(j420O8xZ7<72^;iKGq*uUCGlcoW^~&GND6wnkf$R z(~4_6#qPDl<>|SSEp*y1LKYj@GMq8AIrcd*N|~9PPID(&Xn3*#Ygu?3unYOK{v;`P(-_jG{wA4_3(6`8>6S zxB(>rz!{WKhGN|xmmQ}gINlitos`p|m>lk#^xmP_G=aFKtDNpq-UdM>{)XdR>r~2U zr!4y=KUSVq5G7_?k@5R;xasns9~ks%1AI(15Y2C!2^>&_(*=hoC&2x;(OBs zKEfFUQc-YPxmh87Ds3$uOH89>*gv@)8&uj1Mya2kn8={i#Mm)!D8L6lJ`mBr zvIz!hvYo<`8v~L#`d8b84zpfiHiep+W(wvB^%eP})l&dMfC4~6*>!kshaKX+qhI8z zUSw4n0aSzN$0-vAWL4(**yY_&RqkWweC$Qa5dGT%UUFjWF8XHMh^oWUH#c@e56ERz z@?yJPedA)f`nvdyOJ+bfmK9<124v^Hf%P{-N`P+R=@y_HW0|9*r?4|^Gm9JhxeJHg z+6m0n$1%1;2h>@{bm0M4Gv@<AjbqZrBBGJDXq-tu_rz4v_!7Z&8WtMfm`=(& zq9NuzZ8bdZ7-Sq_EN?tnPmiB&c#W{7GmB<6Wmr15m=@Tip)i{+U`WSC4ReJ(4f9ll zb7}GPynz>Xc>>6S=ayz{$Y8*Rcbox*Vi5MTY<7~}ZY{T3ZRi_oX_EqRcO_ppfw9w%HgAgVzw zU*aP@trWwOej8myKGFsO^5!YRDsKw;9bn|gC{FDtbH1=$TjkeoD&!hErahu<+lS73 zP9cls$zjy7)+yo*d4dN*U1T{dskj)RqP|kzg59oU<~rUqzS-w=$Y6suF@6X6zCvy3 z$ufwG+zsFc4JfZHlH{R{p)OO5Csgm5Rys!3>00cTNdFR^ScHg75(XoARvGmTz-@dy z166risroiN!T3PnK0K$-{SdkrvG_kboVtxyx@r4!+OTzUirVP+NrU4BaHD@B4MZ=Q z*jT`8->R>oA9X(=`J(S8J%C)%|3F>a;y%#!a+85r@&Y-Svh1m+vJEKftbt3KB5mXi zeJ}P^d-86T@$h6rf8@1oA9P>zXqhBuNJhUOwj$T)1F^fXo8mp&+Li+lx{JKTj%A%T z?@s#mm2~41R}HvbdgXjNbNQ6P!4crLGcl$CaARB(4g}%BbyNshgR#YsA7(7p37B;P zW$|1PWgo8J*?A9Tn6ZV&7iFwmb6j&9THY5_zbA<6fNixi2lv(Mfe#x|X4pglK6mb% zr%{2;(!p;u1Id$ubb{Q%^;*e0s)HFl9(X z?06>$WSD0C8^{^}89bbxFqmaS1Z$tn)PH2kKxO{=7Ml$OS*QHhePN`dm(URgFYJ4D z4}%JWQRv9|0vNS>duH$sa1;4>Ux}Zn8Nfu@1r+R(#eFBH;$Zxpo+K@$Y zY(|{Hkn6HI@=7|&YsE=dbqK{X{h*M8_E7CFV3x^I_A%al(zNRP{5(rajJZuWa7CS0 zn}qn2GkL1{hR&_fM(H~3DbqH$wFNDZy{(jIOedY1P+zCtY_xblJc->0d!g1M)Y>+^A6 zO#$}70r$JWBU&-A^C<^rQ6QySKbKgF!bLg$<|xQBEEDm#OE~5d%-@ z$$$>iUuHe!6;C&0hBL55oym_JmWU5yk7*#D!n&9j2p*rDP`Nqb0Sg8(MzeR7mHs>k zlRnv*bm8p0Jp=(U(HY=i40Z-dq|2b?ywWp+Cu>e8z$oar2V>7JgO z_8^BTv`_{>HQ*^b?;4y0B$bYwrygc}obsj}QE99G}D5!GoTIQ*D0oaOrT>ax=(Nt+4e!B&1Xt6mKIJT_Ny)ZnWzJoD(w5N;VgLY%Oqq^ z`_J_ZFP~^m@i))bdFo03iVXqt&j)epb4<13Rj+E10j-}t&bf|Xw#sv1V(wfa;D zTo;SL?Xzup*rt-79WYSM9t~>eRR1=5I2b-3AvM;4G7Jxb%@r`bAmdA=gl=87;XGZD z>O51$t-K26KJqjDz$xjOZ`|t~Z+eZKhXerp15Wm!Q?Ye5B>YMm*b=l zj^#a7U&L02Y$ZBInoYSsr5a+dKg6}wobYOwMmaA*y~?7*JLxy%ncBVf-;H8E;UgYEHXm zFN@H`rtQ(pbH1;eylHzUrooa;fLqa4VNnJfGZ%h4BiL-W7yGn5_I_}~2jnx@2QveY z{C2Kv+NhKbTMxu14(V004=hOn%VPLiRX)FYwOzD#UpLo$TD@+>hs_;&R(Drts!%_#np)OjdiZMPvaU;>iUHlsaURL?#OD@&oc{1P(1Bb{{{`I#%13RJ``{$QL(|% zuq3M#7fYd$Oo=XP4Q<;myA?PHGm0yDnep#v@5-4N+q>b1q`Jm+RlUm7ETW<=bm%Bh zMq(F(YTU@xp%Snmjk!1`iS}{xoSQg?wPPalMRSSiYmEX&=}RAV-z@VX>g(!il)N}| zE;+>WocVMxvp8e&TJlks`3AH0M^Kht-{lxX>?=MG40pJ9wqwh-azEBVUhz*)I=E72 zLolD~?!pD%?tML9j)E6Dm(W9R?^oDW*rfu)*bmY16!T08kR!L*pAqifP^Y9j2Wmmg_!&+#IepjCULcTYH#tsuA1*DPx|G*7gnFIiu&~Mx4EkTOGV>CF7 zQCAdskR_iYEX{Z~*BpMu_1~ZDS7#OGcH^vxRzH6+Q6hvxI`#Qy1a?ANz4MDJY&78n z8yA}9>@YRlV4i>YnoJ-X+ug^*P2R;iJA|hF-_9EhxZ4%==2aN%NtzX#tG&vLgTjNh z$E4P|WCUN>-6!ph2fdZ&E<4YG7-GyZSI4b8tt5IQfEaAzQ@v$`37Zyr#TOVXKt5a! zyP6d&Nu@t~j`PP<8ym^nI)@$c)-zt`EmHkwRR%V^!jh9r>V4zh0VdWtfAN4h$p+{zd{6s!>Gv6-` z%MimE*Ef}$P$tO?!+;^ol`+WU&E*}6a-+CJ7=d@6W271X8G`qfg*3*vkFJZ>+<7*N zmmgzXZzYehebC$pn?v7NRT&%l9Ngwf^BQMrdW&c7$^_223gYCHcWGK3b6$PqZBQUt2FixX7dk&i0H5Yk+%0BT*%@yUvwdyA2Ty ze-F2p);A4rbLX!nFeXN4Gt*;@C@3fVD!*%(b)ip8VVR2T{;gXh6HRHGx3&Mwy$Fp27lAabQwm2M44&BStK~CU3&`Q`y{VG@`TW?~K z-MkE>U)l7EV(a@)Ce{OK1j&4H8&W;HQq<>OiCv-iqTob!pB01VjxP{)u45?)^Xx?C z&!Jip*JRt-YRM!>6MHp}(JwwlAKKqudHu0DQm9z$Js*$c%GTiWMP|Tu@4t$Z%>p9* z(#0B<6zZ5M0vtrOlMEZVh_?k@_dORTak8*tY{m8)5e1SCciGd4!?R2^>%ju5ErtQ}%ym^|%M zEr06POsjMsT-3-`wxb!N>g&}eYsM@?gmjbzzIHc(aFj(9zkeC$RbuZ6K8Qbp>kn*Y zQZd2cQq?5y{aW9NqBZ1S0$V4&7}{9=K9LJa=fs6=U_i>inwg069v>~y?Z?naj1S~P zP$xJKxy2FSLvCM9BODB&b~4w*UnEQ|2|(=hom|YhV_VyCr;;8dDmhMROc5MonItV6 z$cA!SC9subUUO^ud(2_R*UxosnKU1~AP zl+FCCV$kiHzt8*B1yX{Sj1Lzp|FSJkl~{L>Sb_FUU?L>#9M+vYznJB5#K5YaIJcoR zZB)2ncywlC+s7z6j3~BycMI%4ZZA4#P-~tGkYK7sTt?5J>lZltCT=7_)9IrYT5q`@ z!rWwX3Y+!|d_fgK>iJ#Wp5@I>iB!FJa1zlG;<5^&~e=do%E zv+(@n`UgZLvGef`(yM;k38{{6$ISPhGN}M88|?p%vdKAIT}`BPzD$LM;VIjYYQAUOKe;3Zt@QE-jZ^-|9-weBkm8pX&xgv&p!) z>*Jl5s=kT^(l=TKv+7qJj`0386(ckILuS?Edukx`eHlWuVt}(F9pudM6Jxqg+n}vD zE|T}G?bvq|TNCTV(APJN~Qwo-oa?M_>i<0DlH}=UyTw5Q8QU=Chsr(VOOTjIW+}wu0etW zNCoWb(xXCeyRo=wuKvEDSf7}(3gDOtUr6pS*?+)A@50q_@LRJK@d?KdDU zO#Q@CRsvh4vfLu#RwXT36>@8u%C>0R)vP)nR-$e#gCIx7+&CbVi#n<)1>p zh%jCcj&=Wgwfd|q+d#zpkNe@yp8=gVU_54Q^WTVITo1m~!JEF;yzpv_+rO$$q{hnDR&BMi_oN#afg8T;t;8{cM4~$d%48r7WEA= z4jrBcPM~AIMI7GR&1YISi)^~WCe%f~iR;PGNczff7tblE!EW(T8~OFPBCuaE?L)n> zs{Ce}_a6HkmzrA4xAgQ={xZQq2-6tz{sZ`K$Jkryln0Hw=OKII3mlR6&$(nh{Cw-N zT$Nz~3#eYL)e{BPZWzAZ%K*M^+)t1MlmzZzn7kmzY0)AweC2BFveq;**{Ev;x%_#_ zM1b+?7Ps}+j4r&Ut8PZ^Vt47efekIkM!&jm=wQr7B%Zi_o_@~6ZXF9A+8ENSl^w%W zlrELd^Bu;k{h}SLs_0m^hC6e|+4Y}E%;ph(O^F6faRk{a3IkXcJ=8f~vAOYSS%VLf zki^ZX{84dtXV&cYsD4Dj+P~2gYOn zINFOVE4{aU{kk3MK*y1-?J$6)Vl$Ia*GHyqZS!5gGyv z&{WY3OiL|qq0Hqe0g^c5czlPUnLk?+ zsAY{+52ZOb;5lMTc2d8k1KLIwUe2vVEc@<3?)_^0H>zTUlr}%2&*V#QyZF+A3d1DV zsDrTMX;KPa@qL%|IHh9;?b*vw6;Qo{Rva{mzBl(J z&X#8pQB7AcuKUb9Ivh#b+CC4eXO2CgoYTy;kt$ed)sU%ZP7kju^{{O9u32MRY@RvUV+EocZJnp4R*!PYm(Kq?U1PV_(MUk$47erb$6@>V|Y;7dq- z#PBv#eITH=zB;b*JN!P#FWgpnKL%2jv=lkbN^>6;M3u0)JDe%L4GhJ2Wqz@RKj8^? zK@25O`yiqir3(t#elI=00rtQ51I)KdPaGuOwcfqfU{@Z;LW?SNys{*XtT`jGqGI;t z5FD%*;`~;%{XJ68cO zKT~30l3q=_r9GBGf)7-=(B19|C2tu}cjK982Orv^kqJtsgwifSepXZ;k!y30W(m8R zOE-=|Y$CW`xX=Chk-=KTP5Xi0t<9nCR=z0u{MinPiT(+#v=AA{NgllYJxXQ@__-^v z_l%=;NtZ@$h+iDKNuYiCFG|?F|NO(8#gvnLfCrpfy--azG z-;0+pwQr41@z720dk;9e<%BP9I?Y#y-3@#`!!4Cq!s~Gj8o#7EHw-OKVD2^^6u^u? zY9((P^{?HIw?@>x+=<=$dDdCcz4Z#u$&b)j_Zq)e9NC&GFze+PhTnFo2%(P@(% zGKx!Dz|E5ddgs4KSlFmd>ZW$L>7h0(F82OCC|yB zmUIwbPC8#aU&K02wl;P3a|Lbx7X1B&>RG^Uzjjsf$CQ*j|JVCt6UUTH9KiSX_PTBh z$dG9P6O!Gp2v4_>i@v>D576C?ZCiIRa@5{4o<}3r!ZlQkkz}ljG{|UoFx)l3LP>qJ zB$1S4a#w|UGJUXQVwUYiWft=N1kA(hgD<(3Bg(^FufY@2*I=~(zV3w*ZBe+#oKgsK z()bAD&I{O;-Fh;+N>Yw0ko7GP9?x(E4<)5b-XuyYqdczudu89AZX}A#4|a!^Y8ib@0b-|9WR`p~`Aa`-v}Xgb%2|6S;~CoExh^j3aH|Z@+nqfi2+bd+ z4R{j{@m;~ewC?w<$PLZ%Ne)TR32ZSPx72W542*i9Z9UdKj&k z{9ut%vt(z>$NmUJMaNCkq1X_?-B=Lz0AVOT^6yo*GoeGaW0d3{&c5M`2Td{Kv(D0u zVQz#>J3lcKhHr9TCDX9*LR2YcxQ>M-VVq%KGk+=sTvnJNWBi5f!z|wp(_XUMD?W*p zu@Q0SUlksRC%G?`H6?jznYsC-V&x;0sY`R%`{6Vf~haRA+srWUCei;i|H1x^&n>O$2S8QWQZAk0e^HF5Bb@KVI&^Dt8#fI?)RenV@WWBb%CC?TJ@1zEOB6{F-=oG70E z^jCyzdo^m%OSGP)FmK0i3Jk!Ydi9wUoZ)_#^v0m#jIWr|c^c@9>_#EB&AA<1EWCS0!uy;qe ze5i;Tww3sl^M4hfzl=WfhPhu>EzQg)WgO#KDE z8V*ccSLe%l0dIgi>_nd5iGagpHlEp;p=xb@V0cnz;4w_+v(7Q@^U?^}f1o*Y&~Z6O zIUOqU9gud3%NS}qD)T>e`fg12ogmJR!q^epfuZ?_vb}LunsPaB^y%6E)~GsIRbV~P zc0>AjojCuv;Ot?~({DT@`%EPyQ=b{6mc0)Wuy>M^o<(;G44fBpte2N zItTfbo{Biuh`RW@3?a846PdUhwY9x)0r5EO)C;Q&t2Op7OX^=W()^uaN|?@@|3k79 zlHJWjadaG4kI3yKhNf+~o{yeq7eTziCnTbSgBC2uO17g)@usq{?+0tDBHo)QZooyI zkP38HdwMcihf6obdG-ZDuwZEd(+wilGlOH9MS@ERa0sd+2UhW8U53{x={9t>0UBXzP2DURvtWiDFzUszQhGyk&NSgUi2ACk zm2`K_AM=H({~G~&7Xq}LP@#dh3V}ZFr5cq$E1#fszu&)lA*q^Sit7t^c>lBT({m+^ z8+6$X!d=wB3Jt5jb$Y>xfhKuRP+H!+M(L$xTvfF_}6XLr%UEVUk2&lFF=HC z?EjEvEG}I#KINJGK(jPB`2pw(aK}BfASsNi>;TAO21Pn&4vf=^KB?cimD5UV<&{pZKC$9R9AlxRgHk(0u}`_uH9R?qmiVHSOSkm-!fj z+J2#S_KCH!{tdwe(ufI7%zOsq08D@5c{a>Ys>#5XkEUNV?e?d~>!%UZdgaV1S!I99 z!q`t-+`Qj8%tUsJZowYxo9o(O6>!yW75p{UJhkX{7H`b$iv#S^oz@bQh*qtyx8GWs ztd4SVCrK$o0F}MHu9BwQDk7ZbaH^Yuzic@4N7&8iO z(Cuu`iT_v`VD56(PNl3Q8HpT4!SfN3Q-A|k+xa`M^=P5iNj4X%WapdO|DypUAi4#^ zWS&{e2Sm7!mWFkyjyGw}*iZtdb~H^UfSB@(1yyI63M{Xm5uca7v|$o=;!h}w$0d?@ zm#lC9DzATCjodGDpEa5-R(;efJC?1|NVU=j`R#nq%INacf(Ja`f2LxD7ZiLsE0Z&f z!!2P*ZEhzqYx3h+n}`U3p{v=!lYZZPnD&;L(OBx$nE=W9BnS-$7kfwCV9GJ1?g^yGXmxStD;nwkmg>7qxZRMX4AS^Yw`TMc*&R@>dnQ zqsS zZ(5@>s;XGP2gPG}pFii4CoQqd27wZQjG+5zq( zUqN(u7TSO9+%JvU~7e?jH88BI$OO}>T+Rl9S)gg~Nr9U#cX zgHl^$M%YjF=A;`!Q+>(4yJ=`o;GFNcHY|wNFc30{2DiXFyJ5X@^-(Hv1X~Yk!;?uT z*Bfk4MhYu80!zf-vY3g}&l96lin-pHw_Hwbo)4hdNIH_9d~G*3Iuoc?8}>|Tsl~}p zl6PM0!non5LC)VQc5Ys4L(ts?&3H;_kS^QEKm>jE9maA7r+zPllat;Gqmos~32RLr8+?{~ZscT`=9o<$ zU|I>3%yh(9R2vZMVnv8U59@K}|I0t72y}~7NEXW<8b<{40D4lRSV9vMXW0k>v1MJ* z3Vk^%33^i}QS{t?C(%sKcAurr1r)B}+hC=E>b7H!npNcnRh4e#pteylGY;zb#8&D2 zeoyR&itgfDM9|SvTlD9+v(vY>I52p)YT6c*DbpT8qhM``{rB!KWix*d-+rNf_3RBo z$F{wx)=$sQ`Zv#ZGQfM_6!%z@sS9HG2m3YhZw4Xx`S^}&Wv`GzJpY8d6Xk0O zFb{i7w6kRCt}G(dfclNH-~mox`p(-xoGE-c9aUL-@G8|t1C03y{gir_eZT#lnqRM~xt2dxjT#D0Bd;DG#GO*jS8;MNyo_GtlS)+_)!QzOA>a^$M^rlMgRfwx~%@mkc+`v zlZQfq-B8xSip4YCZI2 z5ERATcX69m@?aI2#QAqIJ$3Ze5{A5A&)J=?MkQ;4&LBT_Pb)EZzxMlzWFEG}V^K1Z|T5C06|%VY~$l#PX7 zN#L7b>IDL@kTp24Z}4nSjD~14R{dPhY;U<282VO%GBr+hyojqf)*SZLr_x-fL)a++ z6LGe|gQ1TEH1!-SL1@Ttc0xk$Pph+xZ)Ok3{WW>VUT2yf{fz=P+U7RJp^C`AwA_r; zyKN>%&VHmFp=;2|W&X3ZCF>b=`d`=b`#^^z?_NQePhtu5sGcL%gLtbMumGJ_heM{( zX3nllq6*_Tr+(;zX8?1LS5J@2yO8DUkN~a`&{u-5cmODmJ#wula^4(8%cuid|3)Zy z0XqE-r~Np5FKct%z3fUN{}9I3U_%usu4MiKmwvkzZK5c}5;150J;9qaPp348?x7~+`Fujq5{0mH(_Q=iWIsGF?X>d(Nc}F@7|NW@Khb7WHNa@L37p$v?>_?8lURT z@;BQA2L~HRABRPPD-U85ARH6IMRD?(*E9~Vcy)J3GREe*Ipp5GPm6Ec)C(;Sf09uz zcF?wR7(_Wt7Gy@T-a2Dsufk{JAzfihIm$6Ihv*WG@z#?Jx=a7w62!ca4$Iy4JMTOC z4i#5+2205h{P?| z8>y*s8zeHGm-U3l>@ZF(Rp%6q9+ZvAw@*k2(!HmVjpvjxd}lw@5qPcV%6ux3>?r7m zSotU{sZ>*eNU(ssao_Qo=Q@An`C0j|Z_~5O8Mo7Ff9CyDjB9ofZ9enU5~r1|`Kbts zn92TYyw*J7x=#rWp`uxG^q^0guE9^sZ8f6UnQwVYW)cWtbFJ^{9uvk z2JlUN4E(*K$|2JeJ$2Fam%@$AQ@{bGnP`@Y{TuOZzmIlb2CPMcmg3A>cSw~8Z(3u% z-+A(AD-+8g9^PB*pDHxauvaD=oc~(3(&Xk({m0ez#S32y5v@vy|z)mScL%kDJPLSs01V#P&khhWT`+x^NrqfRBiz5@<(>^8I}=jc|6Jyby5OX@xDYe=xg47_X% z7%U`Kh#8-H_MVplxbf}lM3_8?P%htpNlNIPAP*u3dI=})>ykkzt_N0Z0HZyjR4zEM zemrFK2pz?jiB89#gh$yf%t7P0_}!!n&6X5<{gxE3ZMzM<&)&A2@1f_4`ktC+hzg{Z z=$e)etZa#s#RHTOUp`!Qh`ctMiYLE{$$-m~Ro{CkcKxNq(XH90kV>JR2~~Bgr8e7} zJzz`~-=grVt7pQ#GBpP|sgIBxH{ICqEd>A^z!IdzRBPGrZCxWB%Qj#wc(Yzg&vbzM zX7tt{{zcW9(f6{&7F_9F)RbDa^+tzqpsSQ%zUlc?@bFd|Ee*u!tjwo9+NFVw2NA?! zEIggw+rV;8-154_lko`W`x%R_d)f2hf6m+Pl9Q*@EE~?cet2JH+FAHh7;(W$i|6%< z^r;Nwg86n6cC)dDStpe~B4;sMpWK zCzLKIpk(%mT}6F^krG)fg&5(XNsWv3qnJHCS%VeZCJ0>y*=qS5kj_g)@-TelDfb4k-tdwTJ5!&6NkSsJqeTh}|V+lhBAm%ZQ4=PFy1 zjBb)4yBptv`Rm{0kX*lMsf)9;wDRegA0fC%t~tz*7V4Ejp-R)qxTrRr$Fzz7kz}C! zJHVpp(B%HDW(QZ}AbD0~H9h6X>!>b3Xj(%*k#Z+XuThi$xhDo~4_S;&DO|lGI%J!4 z$wu|p2DQ_(iT+>8%YKvR>oiX@Ip)ws!*-upBXhu)irSD0fF&YUwR`y1#sK5GK=n8o zih-1lQjE`LZ9pC7e+&I@QvH=t4G#WR!g|X`lev#|o7e_)RnM3DEwNfjJ5lf43il+Y z+dcsf12^$*37U3X*#URWAAU@JY<{Bmg0C@&!$ZCme^#CU%<`H)%7K=m!CFpqQj#U2 z6-&qx8KV$(zaj>cGK%x(_jC4llej})bSX(F@iDod+cC&ci?kx0D2rsCY__!$J3L3) zR@`|A8+xO_u1;qLBJR6IIPz1fT}lmBq{i-y7`&&%qIh4(Otztb^@a57r>WD={WfvG zu~tIv$&LYzh^{#^JGm9~SQ^yd&h74mTb+G!;;p;*30Rtp^nHy1$Ih#L< zG+Sc8rOWb^=ZwKnrnA*<2eWI$S%`>{n|whk_hDb3zKiskO>u}3ZX`_Jeu!BGFJ$=G zPf*+ZY+jg8lAe%kIv?|2WfYX~6I0WO9u$OJDdx=BFBpA33I!|xe6FPuN7eQoo8@r; z|4QOQvg8iFVzRDPcPlnvqg?hR!Xa0WO$=2Egtf}cEvj<$6x>miH zU2?x~0tyAXyj4uey)2OXi?Ox{H?H{n%gJl1L+In*zSLOvrA-f3-`lCdx6U)o|>mmG=b<8v`#}MJkd7*&bY^=fG?%&?~~?!alnhM z4McWf&lUkSN*YN76VcSxo#Q>U;XVbc^2hvtb|l*UQkUa8y{@GxBTdNF9<&c*$ewKNh_FK0-j8mb5of&&yPSa{jWYEb>OG6uT zN^0LJ!b+C%-wkSM^c!z8_wmnY!NzF;0(4w-EvT-;FM4>`O^3lQXufHQrIH9bx`q;A z8bv)W4eXRS3rOl2M^fX@zjPX5lR{tUSuoTa9_5ffF#L2>_1?|*{LBg>&ny2;AgTLD zrl^Fp=*n(l>P(`|U*(>g5|VjRxnx1u0@;>~xZy1U6}CP8lBz0G4~($d+6-_0YCoB87Da zdR|6BI^+-edZTfc5@0kIuSMPJL-g#(%cm+|k>e|`AMzSdEaaCdR&+bi`*kylTQ5t4 zB1Khq`iK1*Nx;U8HKvB-t*={WsL;e8j33&hDHAsks|nN!yEs+CUA*mncYpW0T``}I z`s~j?BnEnh)jvWPh0qq~7?2Q4F?7Cm(*=|`m}7RM$X@TqRheBK(2U-+8r)l_E3k5TVA>Yo ziwizyR}k%GwVgQqmgTw1(?DlNS~xu^AkOF#Dy>2jX8NyUG$fzHRP(D22_O^L_e#AHmwSv@ejTqG6ktm~ zD(;B;{il{7Rg0!wb@-K2nee!1#5F+W_Vn=~VUu7og_SZ*&Ri|gpE0N`H0iSpiF&0! zVXyBNy}0zaJr{Be4!QZDWjxU97q-JV$uwJBB>EsSja8-uIi4NK6sF$KZe__o!(7~_ z2r|lWWpwj%2^Yd4*XvD4QNp`tkGLD!G|;4(497j)bAgCC)2qEUx6+WJ(O^aQnVYHk z(2~G;vpzpZxR~p?S{w`Pu1&4KC7J?4AfuOR=W1=VsT|4rOX7T@@ms_+A_j&jRNAeD zXQ9jonMh6MT_0#Y5aq%Fx}7eav^JJB$w={bgkF`gD|A5dWjt<;&hb_Re{oxk;XkZq zlm2ok)K3i;mkU-cnief&=p7eT+L3hl^9SDQ%*@Qvi54{ml{`I7DaPvV$3O>%z}p!G$w+#? zje?wa4rHm#i}-X5E8~?R2DoI17PnSXc!EvM z&SvT4%2+VLMG(u7Rx`*ND+c%LA8df^x*Q|sme95*Xdy>2B82&k8z$b@Fd-3l3Ihrr z8H!TCIGPm0^3FkF?W)g)VNnT=ivh3CX(w9gZ~Wdtj^cuxwt@G5U5Do!rEP+#Gn z9wV^)QHZ!rKA}mrTwm6; z$IF^*)sl)(a=-X=ldKu}NeC9;UmVc;9zW2F!=iefAhFRr9OF4}_aRTQbdslBGEaMN zT{5r0zmPU_E5LY=X$~Kv_^Fjm<7pToTV;t&?Yu+N8+Ya9y#9TfnXK6g=0Sf>Y&)1Q zn@6KgeW8c@FH~TA&6BXVTK5W&lNf9HG+4RJM@)6NpH6}>a zSF{jR8`yI!F|uU1%9xV7uaM#o%6nZx?r>|LQ}6e7k(nmRI>jlE>lwS5NckPlg}+Zx z4M&}d`@m(Sc`9|QP2f@wL%w35e}Z`DAo~+FuR&v;)jZ9H{J3<{cG*(EqMZM*NV88| z>*M97o2=kV8Wye&FNy45ULqVh=~s%4ZRhI@do<0lWyr+_$N9taum%EqIvB4VEP$P7 z$}$SfX9;@$XFM1OYi5X6iZu=A*_+Tt$S9gZH96WO_tS3fqm2gTq#Upm&}n*rcRHfp z8SNT%w>VYyW2xS8mw*7nS-zdXU#Kd{^-TmmQWfsxP9-+LkNi(uPe7v3lv|++JjqGi z3wf-qbQ*AhtjM=bq!i|Jx6(=BCojq&loW5_9Iw6ggV+&pc7Q#9+6EoKV1wqScfn87 z4_WCT7ubZl1U7T-lr%=g7cZ5^OG9)hwdH2e-A^eeH8sAuPLCF&N=lXfR}tLq$7<-e zDI?;4X7}k0UnbL*9>QPbI7&p4!Azi1!zvaK=m6_9>D-xd4zz=U0p`vJTq_*)Kmp-l z>bMhmZ+bP9xxr~oI=Ewvk7XcIxwb(CJA~}jYI10N&UA#nJ&Cm?zN{DEuM(GncaD0w z*N@*|FAKmLFm$cqRAY9D@dl9uoD}XLb$rqKdZwQkR`CnC;|Lk&5z4N0i+sa*OQ-WM zCb)vmlR@%x`vyqz&*1m5p=u4mx(A*7ttHIC)4Z~H#xw4)I}GetMvz$#)z4nNzX6{O*w;t%u1m1eCMn5w@!AqbCWotPI8C% z4g4^;8np-P4JYM)pO>$YbXjl7rsFXF1_PWz!pZpf1QP1!$mX>?boUPjlG!dz3m@bx z2k^}_{7{v!nQSYYJv^Nd_*`uoYi4(-pXn{r3YBf~@2FW@dd{P}UZM6?fk}^+V?8-T z+NCyV3y)xM`cy;-#I}>?2Qe<5;E}9Glm(Fb)Qy2kHF0q?!?jDb>%&`bRicXR^a4K2 z&fu7IG>T5hcIi-4X|KcU_h=O5fqNlu0%LjOA6KM{!{0DGS*P_&ZnY%(XE9e^%gC6i zk>%Mm;xbKua9)dN6Y;`yYJ$`2+#JS#WgGdfyZm=HPv{#%IefR4+Y=?8^mEmWZx=^P zxE^wIHJ5L!Fcy~;}420LY3j5QZS2w7 zjXK$TojjBhJ52`n6kn-Uesm(XHh%-7lj5ew#LzxZulLjNC8pPaj`m(t(+w%tx+89* zHgF*>crXSFP&VIo7;lDmp^JCh-!C2hVY|z0*ZA-w8XW%Z$!sHh|8L&2g#h-(jTf_D z@!t9w!%7CtV2#2{#z&&G&9M`AIb(RGlDghadjezBJro%jKAwJ#M$3n*55!jtgPzo0 zvf$gy@bGH>M()FCQr$fuZI}dT;9q@R+hW-Mm)KMMOn@6oV-rvwK_~m{t)(S}kJMWcmyY#O70s1pa<9MEzzT7L6qDAVc(9P*{ z96yV9@fhdz-GLnO;(K1QF{Ihav6ikXe6X${jb$Y+|GkWo)EZpQ2JAu2DC;+fi_-6b zoI2mIqf31w?%@nHAv|1hu{@Mggh7PQD3R}Cu5seJuQ}mwI@zSkI_?KMRR4n>RWU!V zOFpijUsU=pY74=rSJ>R%r7k)UA+ZVF6JayvVl2^Oi(Yc}UV*?m0=y+V+Q)7PEsitV z&)XPCS&fx-w^);{Vbjuc;a%1HItDEmh3TE1U5HiYCW@cwPTC)i zhfF)omorN<$6ve#-uD|n3Xp}DnlRG(<}&^tajf53 z;{@iR%z$qt&0m~cHE+D$zDjXf;WZw)h!8O*^L_T2S*TR;^1$X1ADNSb*rPdom!xIb`88&^!B(H#1mZz)Eg0XY2*<^L4{is-4u7u>7nQ`|M9jDqeD~mC8yo6=>5bNPrAFhI5%RU4E`{h z96!m2U5y8cqt9wW6V88kg8_?krBT^=`T*^=7}1GmD<3r!iwe+9WPf9mU!u*3MJhpv z1L{s4uB(nIU*$_uV5NaEi)$vKR}eP_hf=U=;rJTG4Jk~KERUS`uy|hyi_RthcEl3k zz^TEzHme&@ITo8J@_jvavg`~svS3S{yqKw)U{u>o+LtceZwc#FU~vGwjcHY?ikJ(cBdMM zFL6k#z|K|G>bgObTx_4U;hLl;vIKjwd2|PX--TVd)uLQ`+W2B<=hKj>MW&9z2iBw zMdVS*Z*nKXeKBW+%t%#or$W1%s2F5Dvev!EP949dtaUq)T#k}kPbZ&DCNkr~fu3E& zgKT@vt8fFVoXfH%7qTK4W-juBu}vU;YjMIpK5~e&Qe)r_x#>rEol|1_Gew~9dWK#& zZ6fT7l*VR86HxhOiq`g4gX-+Fjl%S-9YFK0>^47I;FfAB`3^s4S2SO?hi1PMHplvq z+g2yUafhwKj1a^`QK?k3(sSM7iz~a?mf-U(8!5PBYFy#%0I9=+WbNGvw(Yi`hx;9u zHPbZ~o+z(aoNdV|TEha$mPZ+^HhhhW$gLCX2$IQM{RO>|Y6N(Es&BrOLc!U|3)(R3 z%nk)Tm=0gxRbQQ0^IOH>*D)In7NYIEHl7&&9cZrAl0J zC}a}ztbK{{(em}tT%#J_0o7?CY~0>}tpiww+z@WPR zQHin5TH6KvBF81%Yp7bk6#okE*WFLF<+s6A1|(cA012rZ1g>~UUD4$sbs zh;u~lZ;U()ZAYGiGll2+n^cx@&!8A#RyRr=7n-gy9hHB{b*M@<_^&e7+E8=j3)rqu zC~>Oo@ZW_MzvyC7WbwyYTEu<=FloZl`5;kvhdfyQhwE-S?=KJ^&cCZB&Td$?_Jg$` z_{4XUy7>Fv;*Bv0)e+>MMSIa8U=zM;M&BLIG*puj=_lEnd<6NKyN~Xkn4fyQ98MqO zK)G4N*G4Qv?eJ|uVEPmNJi{I{p!};D1I=yJ&M!>X3{}sfCqQ?`N8`Tt@4TB&bD|Fz zdod`Nb|s3w72%UU7y?4MUF__A;>t;pwUKO-Ch0F#a(C2d%{`-IV=XGr!)t(`U6EHe z4-u{j*#@IS#gjS~9Sd*LM>>3%vfE$-9i&`CCA&TSZaxO5yB+hCsnM4MzfsX>_Z+vm zS%xpEdm=AkJW;ThX6!oPN{5gdjrsOPwA3Du&R-z3>ul@iGpkt?EqRD7S&QaL# z&+K~LP{KG=qRt7MHusci$umm$N@PTg<@Awk8!QpvV5-dC+4)JL7v++U$K$SAMn%X* z6<>!0m0oMzc>jYTV@g{A0z{f)t}mE^lVpZI8C#9!xLXwdKLANVw!ZQJ)NsC+)R{I9 z=zEa9K~bF^sGn(x`~$I%F9PHv`A0)SgF?eXBgrw1(n0dCGmnmP{ydBFdMvCHH=UNw zFQyAO&ZTQ_T`|b^&X?XypZj;8N?-WTznZ@M|M>OvoByvbrr-R3e=&XGcYZZ}?%#hp zed5b+rq_S_L zEZCq8;6mZ%cOI~sOI>VOuh_;1O=G1q7?ll@oC;)7+qLOwrTSlk3ayjkBwpedXOFli z>6ixTNpy&Z4!Fpw?qiUnQJ0iea{8Jh-6$uVz>@(7TRz;nU>cQUGc{l#yhiflj+pC`82;cZNTk`&gab@6qb)X!$9=4 z^mhj19<6x|RW>9t5U0A$hp9(*A9=$EHjr32Gv|+QtOr+rILl>!|HQKZZhSlhaJ%^0 znRMebm(r!T&ZaXjFQ%E(6ZYU=ez^7V9NQ2Z@u=I?&m%Scwm91+nMX7nG^}|+d7)0j z5aaUQK(}5IfEK%?;!y{Pg=g8%fBtiWY{&wBfR`JdaNq@a)`1=L8Z+od+jLnaiiVlh_n%*vR1KYd4@CahO$?0*w0@>pWh0vtGn`&d>6--5Vu5 zV2!oBi)!0>L3}X;IUYBRNFYtUEZQ<^gC7%%{ibN!?e2Rhvr7qSgQ zIS#py1)X(rGr;a(%O7D$N1dK>e4z4yJSBfBjSYkv=_OBI%Pkv7&6LlBr0=jql*DV$ zgHUp)9vo9!oB_AO8hmHK4G<&`%-w#H-6*z%IR)i!57M*c6-XqCM)DchI{d2-Oj}Va z{qa|6J=T=re6=h2x>)JRz>@R{Gw6WhH`m~J<{%VtmG~My==%;!jVwi;XbU2}MSs?d zxzfd;WbPoZ6I#|DeRO{{-T&xedUS8aUThT6>6!6#^2}VCTbT5w0|0J#w%LQ5>8DCY zZokV52Sn6OY%cGjTKZx>gyE3~sLnDEY?grRe7K8^nb_EX9l-f;MjE#D^M#+4Hs2>@ z0k};}kEg}6bLrx1XVdl1TuK+;Je$tkTuRfYC(_g7d_>PvMzIUA1sQM#=oVq{hz3KU zfAS-!DGMVS(JtgRNNqgzn(`8!Zv8Ghj3EKtE?&Io_*oYXV2d#);Qogne%OFoOzZ3f zwdyj@^U)U7#BZ)e`rj_L3e#h8Okr%?CMehj zjW$x~5m8tIsRe0<131}lB|~Q3LuVY*Ndsi#UASCQ7^yH+u$YE;khu0jqzyR$j;Jtj zG#*FMEKct7upGQk%H7#(sg@-Mg-`4^2|-PrL?-VF$Q)QEJ1 z-jJWNPTm}dTu$@XX8*vV}i{6OgD{DZ8WBlvSu8{I`0~1N{ZggfQ7H>>^g^c8Tmg5a-BS(a>S^JvP79u+8OhCvFS%L z?lo9)yV%(@M%m+9gxlCBeMvX_zn@`5R^rOZ-nuDysLw^r9Y@sm;4Ua6J4KalMui_Th2>MMe%eyeC7VStn8*l?t{sj;QHBNBGO@b^}m*Pm}TBZTe2IlQr`v;w{l18dhzjfK0K%F|blon3T zr|FsLZL=A|4h=gS4i7lS05JAHzp=ZqQ)`>9A2$DpGR0T{W}HCCxfll>#qrNkCh7`f z0_q2KfbkRgFpLDK#byD7$cmhJcrmMKadENS)q4UbfM_ddQ$G0M1IvIn8Jj1tGb%tA z<3oTsrm`}n6}dvcIQ9V6egFI4H(1BJz#4)`*SEg)t@O38eJy?C8{hC6ZQuFMcMRqc zAMpb20if|d>I_VrT%#WGPU7Q!-pA$-#0T>%I$}c!rp~ff9lv?zsM82^>k$P&M#Ef# zZuXMdN2eI_24E9_8z?Z>sJM8x1z^K(3gUj_*$;&=P=jufwxinVP}yP96rCw~7HK;u zMVaH>k$(Xmp+_2D@(&Ox@{eKLz_^7WG#%BSYD(Jf=%K-*-j z0V5tC^MHhP)tHJCM!V~AJ5A3v0$>XdJqCOlE=!i=uljhl+3Sv79iJte~g9qem_g?LB(JBTvxa_=Vw3ea?=0NfBRWZSol@f@r_JF)L6VNk8J&SNoWhGM{l z3~Dns+3Aqu0IWz(N0QniN2@wua7%0e$$%Lby9?#oqDu|vru*}h)L`270+v|$`Kh{` zM0S+mL$#_6m_C7t>uWUFhI|vUSygbzdNv5}%b;bZ)XPyFOi> z7b#!N>L-StBy!g^+=6yW>wqcxFi*KwpT_Q_?2gTcrPYV)2C?V|=~K;Rmrx#KX@jTA z&q4Hq(a!?{QoKCfRI>8H3D0x)(fZ9tD6fmE^J_{EAs`%W80i9V^9D`qhCZG9ecN_Q z8=;d`r44Y7DXOd&`|4+Jq)&YLjr7tducu2dUrc8&pH7P>7i{xk&(we$whja30NaB3 zjm;SLci4~EbbL&OqWvF=e&9JI^0~IDVa|~U@KGKA995#eFeadWP#1<7bOX2w&#}2AIOMGnX0N}=$96*o_ z6kq^1+PvqXzKuY)9#M3Roxl{G;j;=#$Qhk)eBFZiO+y3mPAUdW0fY|%?CqDrARuj> z@gCJmfUW~{Bk%ZKgQfc=-c`RZKv<6Hs3G1<-T@$ymvkC5M7_vACB?N+Z>)*NQZ(9TQJ-_j9@(AZuOs@!Ojes88fRHXP!<=KVb+$EAK94|H}{ zB|c&TTw|JP{^*pKT8Pae@J5ou9UC z5WACJd-GCy>66#ejZa)nXD*#e3n%Avj|QEx3$V#*o4uR;%=uuhqbux6m}kRg3_CBb z#qY31d9Kzo?;Fwn2>pd#!@h>FtDhGT;3yI0`Y3^J0Yb&N5AX`G3&)Fo5oHqH;EWSa zADrVi?FRrBGT=c5=!Q30fMPLzW$X%IhO-Y-JK3axXMzCBn6e7E7VnPq0nYIZ@5Dpx z^5x5(?#gxaz`fKR;tPkOcn5OxJnPXRADculy_ECZ^E|X+viEx2`wa<^terZaeh|np zYjsh;Dby4?3RV>K-6$G!3VbvuoQsZ^!UbKqtcMRqehg4 zFjS(_11wV6X;?_teu(!)#~fcN0o^+D4@PfrZFu#9qOl}i;-}H1(W4ypvw`mykso|* zfoZ5|glW(ZOXO7m+o3O5O<@{yo{0IkDPxyqcQ#~{v(C-Rx~HLFw6kb5Yo+nUpLN?F z++I%iZaqj3yzsR0|NcsPDCU@r3t008W4&K(5MT%E$G{9E@-A`=igJ2=0QEBdy4-dv z!;Y$ok9&?~5Hb_L3G^pq6gQXKrf1c|Ug~Zq+DWI@UEv_a;gtXQpt@du`>-5D(4%Dd zHEO?NN~uqn`v}(TfnuFBfIuf1IV4X2T!*HjPj7w@dbhrv6I<7Aeb&tX<@;k60|R5Fb$Je>T=PipLo{gVQhJ(Umv$VJatKFNyf^ zOoLgQaeXCk@{qx_45%Rkyc>}QKAz=|SUGJ?@l-w1M>HLi| z2Hh^)Jey9QU-a(ilT+mboZg9E;TV?$^S=6b+!yy^SH=Jsdpm%JxF^N}FxP9w&WteZ z(Gl&P(0|y8gy96i7zjqUBWjNr=K%QN4MjbO4Frdg@Y?$OzyEuCd@+6jfMOaaAQ!*; zMU+q46vlvne($~ap2vjfj%zU%#k&nKjWEWe+!JF+Fb%xkDCfxD3A*7u$M}poLEYfp zFl`d=gL#Iul27CpV^XdY4{;zHG9oL_LNP|>8NA&Xmp@N!*K-fLMHuJ$MRbY*x+#ElVz1%jQq+|9J8JxZx zGifby89+j=XAHD^PLjc3oAg4Nwe5c&2+lF#iqvIg%YGG#Wx<~RqYIM)JM=52Bpp%0*Mre?Cf+3ezUp3eFB zi9bj^xckT-tF{qISFrDB{9N`rTRJ=MWh28IvV$<=_8yg(LHeq}aAL|(`#~?Rsmzrac z9Wr&3>!7ke?}V*~{$XrVn7oNG9y%XUdqjOWDxlkUzx&k)N&gTa7ibapi`6*AO74IzyQ9ACY7E)ZXschR{HqI2X68y!Ai1q~e>pxb@` zs$n7W0AmFvZGdFt1ArT-|FhD>^YMvw` z(gNtVU;U96F!_RRFrLs=jTapranBeeST6m?lVEaMb#O8-NDAA_pm@5OitGa+%b9i9 zgga3sXOqV}J=4oH?L)5C$+C$pA|VHo2a%AgQ%~i-9OQGG<(yA)&j0lXpvCv(bK8h_ zmpDFli4z7xc&_3nPctaObAuqs(0G;kw^;S4@!V>YtP`oiz}txoA_bvS#6h-Nf3R;; z7^M5EU%e;Anac;H$jJ8r=A)yu9$+a0`E=ZPXCfbYNmvQkc)<+=AqW2*ma-S&ZbZ84 zFo>V^xz6joBFUR&E*x?rHop%*Y-BJqH=RAO>7Sl#+QZHL-CFT~&DTpWXRkKag=I6Q)0dXgsf#Dm z!s$6BE9Xmy z!+sKtK@8~Q3sVf<>C9?E9y(J%EWo<(OyV7YGc@RQtN{Y>uDSzln~;l+pALskA0}Oq zzN1Lw0ZiKHP)Qs5hM$$Dcs2kofIIS!_mEG#gDJ*z3V64Xf8EMKF9~@t5GYrq2_|0R zr%W9+A{|jLNJr=r+D|>GbrK$%)KkurCv{#?*C^X{T|=)C2J06>c-n}k(9BLY>%C!g zpS^ZEU3}?$y7Ky^bnVT{>C&qgJniJ{)id6lVd2btvl}YYR~S6R7kSppi8yy6jDMJ^ zEqra~T?|wJ{s7$Al}#@xcMp)zVK5Xj5q5G=eSbN2UKIA7obwHbr0Ts5)v^qdLN4XA zz1$i?U*)i&a)O{!uVwI@fm~P=@3uD)aYV>@u9w?#(1d>4&z(q{YWtlpio=WTSFaxg zW$&mAaOJ6_fJcKB%6f}DL>54P)o(ROmTwD)QAid?zVM(z0$s<(#z-6-=A~;56~D>Nuda%{_dq7b5G3>HVcf6 z0?5Dz$go$##tS9oM1r}s|i{S#AT9%um4AqtCBvyd}#uqzwWN}0yf%Ynv$i2SJ;Lg1pm zCftqUxkAqKj_0@EA>u@5ygN}`ukYK7Tz#jIosgh1>JKU(k2TL$>8(lEn>D;5O82M4}Z8oH7wmXAR4c$zC*bld1G-y$mKeMx_K zhI9nQ`||&TlOA?H28F)rxCTuYMSnt9VuEsE3mg;|C_a<*LpdnF+oCL-f(o<>J`_DG zA*8n)9)u*H`!!hQV4LiRB;M<_+|(!4>#8+xE}2Asd}3UEuYT8?H0(rtaB{y}Jlt5% z4SDe<$IE;#-s1Zq;+mM!0DoaRoxXI^(?_qrbtT<+=W4qA+QoG0{9;;EpAFzFGvp$4ZD@hpmY{ge}LQoiRe#;`KPgc1f{eI*D_^^*zW2V>4ktVmH;y`QW&>PEWVE zo);pWp_8z&NiX)|2y|1T@TaiVXH?xTEs~42VHK*J(g#$fGf*1Kp|fY@0|MQ!tU6G)1}yk@u)k zlnEMeyq{HxqBORm(?>ovMQ)V&J zjvAq7)^31FM|>sPi%!W`^iTtC)V(lJqn-tmZ=Lll+6uz@xbwbe)lZ)BMhY7;+?ZOk znx~R71!n6wdjWU~su+(oZ^Ur#QL`ZfpxP=^QXj6S<$JoWYsZfrHxP%R&-1)9+PZ-f z`4f6UcSV0qxEs~_e1>jKzD0j@Z@#@eqqrPfiF4bVxUqise&p*bAy{UQ`{ z6`Ab86=eOxx}`c+N%rOD&d`0yhuW)a-yU9yW3#9$=UWC^tg~9S0n=tyLDoyi)*)ZM zMSnTqKIvx@keXB6OS*hdpQ*^^egau3dm(Fthau7y|EFJS4>S;W)Vd z&Gk->^YuM7VcQ0%7xq*94o22z*+EB@&`E$i0lbk`fD@SXkEs6?wzj?N^`^@{+e*Z?7bsqiog z(2apV4L4v2pa{RC;SSFzo*Tx_3y_JlAwM8R0B)p_-$#w=vO&6Nz{xinL%0UrqRapS z0pf5U03^(Pb^gI>SchZjrC(f_g@s z41$Qve{005FED(|*!fZJY(^ij5@|4jyW z&I_fLYv{cW_eg#p;DCa>X#$?H`;@EC)BtY$p$tlY)?+DO+lYIm@2vB(2}99)tWDSV z{#g3+6xgT(-Q?^wk)}vj6Xu}#y&EAj`5yAZ!%_@7(}tX-jPe(7j$J{gCdd6Ti?!Q& zy&Eb-xdBMSi|zE~lj+jS7t%Xld`hPUx+yB!LG`}rnvbXGDtQbg^bmC zjjT#o$=?=5ypFqyKjdpehutW|K`zRYz%TtxD(9anh+{&PDk{cL$Y?=Kzqw4TtoaP#B0QUkUx;!d<0Cl>S z^^()yaDMu5JkXOj?~RD7X3J28=5F_e%po_NUpX|?DRVi+pJuJN)eUbx z^n^6jW&Myu|IRvdOeMYfiL2?2UwR-Q^KKZZTNLOCJ=;b5EC-St`unXX@{|EtN zc4Dq~vlTn-4*;G3$@pDU=e>KSkPq;TkLP@VWDJ6hgiRZpiD56*V-)V?Ipkqn6SH3c zK=?Qspdhn-u#>rtt<1dvWc($Sem-O@!~(Xo+N7=0Lk)HU*tjt+wo1CqQ7&(pf&tKZAJ z>fcZ;OD#_?iTCEUV*uS|)2Rzf>B39r()G8mrq@3AayobOeA*lvPj~OFB|hqB(Cy=Z zn-Z73Vet5fL3W>HZix5SjNYV2hed~dp?JUJgX_U$;W~cF=E1iPgKN2cj^nnelEDl` zx&}raG9gNUZUMXj`e;C9@Mq(3+SGOQuUeFK3Ah2^rn;6xy(d5q9Ugd~%zISE?bRf* zS5pC421!nrK{pa6Sqh+`v-yVo63^-#X0>Golq$V%);e!MH&~Cl92Euox5Cgnx-#g7 ze7<8SC`5@m>hvRP(c_L}Jr!V5{XlG1v8iX>j&qBON>d(-YNCBVF!63=i?-%ja`uvl zryGY1X5W}^hjp&$*SOER74v(T$g&r9dWwkUH~IQx{jou}_4V+|QihVRhow?B#wN$o zsY^=+-QN85SJEf{&07ZEuD*UL%`8smwN*PnHyFDjxCYodxqhamI*-D!0w5^>0RQw! zL_t&rg`H;|*MsByvnb+2t^nPzT?2H(o@HDD;I(e;?B)NzM`IHX>-0`#qv)5U6Olzyi)hhr>B4TK#p2&JM8cC{)DG z2Ci=WjyjR1NKZ77_58k_*?%aBq zmLITAos4kC7)pb^+QbIhGzd^ZOve^*qJc*)HcgrI4I&EPHa}}A>N5?6l0T4#)g8! z)`fYF=ix{TL|kD<$Fx=C4;w9*-!VoCZ#bSI-JLQIns(CRh}xw(AC5vEAS-2>`T$X9 z>hZ^jUQ9Zsf-yX;TaSqbyl%w%l~mr#G*Z6u5K_sAmkQR|S<$({97pFj>_i7iy67aM zv!*i+;P5C?lm+sPU1l%@!h4PUBh45Ck={<@gpl*Y()d%}kQ5RepZd9J%N@F<} z)I8610{x*6EYD;QtxP`R_A;op7a40PA!zfFJor+=D$@Pi+ufAeqtP5RB>{LOUX!i6I} zZXVI$X#}|*lIl(+8U?^9Kq`)Dq^V>y4ADSP;b^Rfp;Or_(Fq1enx7{k|1fqiaOhxT zN-24W5deS%cm?>wF+dLahdzddB7dOgA&=_xK#?Z$3Q#VLD z)%l(X<9%@))ERf*Nm29lp0#Q|_}T6BPha_d`XB$_zis%NfBl2)fE$F2ltI3_kDb`^ zZkxzcPmfPcreneSz2j6=+9A>!{4DCc7roUyXbRan+gD^`VBIi-`@)^_mw@+VFasSO zFUN%o#jSg%@_fk03-de~uj!lI!@W#jWNj^&>5##3PHpYh^gsP0 ze#I9c7V&#ps&$QQ%BHd7>FMN&3?k{dye`>*6=!+HV`vIpA(zr`FiW!aTRhTV^qtpy z%Z#o!pFB<)7N;jC)W#hb^AArqjT4_Dvx{HW|Db3Ka1(Lt@>9~(i@c?r=v{g0X_=zS zyJ6zu7V?lXh7``Ta=wI6b4*yb8_{+Q6Csay+q!KLmTSXGTRN{~P_4MjzZ>DQ+Tu!Ghp47Do_szjiRL8eG>~^QHC2GcY z3}!449Ag5;5`0L+7RAQFMge4C?0`KQFfOBc2p?J1O@<}ZWsWhhp&iXFpy5t2a|Vje1#h}LS7i)sov@8 zsBTY<@kKgd^iDkjK%)bTsR&`9K~W~Thx`g7Hu5U!e%%h#VP~GUoyTh{>*?L^{WAUZ z`|qdk|Km^7|Ngrlr=NcB{c`o-6lv5!=4RlP%m224n3ySP`FQIY-v@UimAM_SwMmg* z4#obdKb8&o`MnR?_P!i)lwT9?E1@pSWlvjXdr( zm3X%SedV0~#y&1LTTJ8 zdklh<&WM-ua7~e)4m)^AscE+@VuUq)?8H{O2b8WXvyc4SL8RkZ6tZ{b9n|@}Z^`%Z z(F!lO@u`V)_S)%m>6Huic$=A@O4IYQC1`Ux=-ic4>FTTJ9rl94o`J)AAKM1T7706) zaRiKQ6McJxL7l&$uxEC&Yr0+AiycIKVSk3qq^AyHuGg~h?%f!|7Oy$%y3X@)f3FF- z1NcPt08YpYY)#@GQU8g2pl&d}AunL`57^82dKl@eU;S$Oqd)qi^!@LDKmCXQ@E_8@ z|M&ksoj-rx;~DDkh+a&3AwV~{v%xE!9e@$^)BvmET|if)RWon+vN zw4i6eg`(G-o&s*_J-yav0B(*S!SF^aarLddb&_Quz5Zn}Ow>BPBE+M8CpuiT@yS)amFXm+=znfa#^jCdSk8@v$^HGnuC6 zrW8(iVQTEor@`!0@mviEvP$O6Cv@P<4Qe~cB5 z>X`1R5#=I4H}V1w(2a4XBD6B=MDQ*@BgFyn6Bj}DUd>tE78f9;35c0WB{&mMd| zBhuE%3^veJ#ZsOwmGi!bbLBVFSdTLZ$p)?mD_n2xE5~re*-z?>tNslguF2mARWfiK zKevt6IA6H=$)BuWvwz1$-_<`NuE?_zcaBm@qrSy}y$vE7;tDPqmp#dlPd^aRz>L`7 zN4_V31%pH!6LN{fIE@NJzroh?_T1SM>4ESbYxJhL@+K1{Ze$n)DLsv6n?Y2i4|yKL zS!bQ>$DDxtyu%`Xb5FT1>#c-7&djO((q`vFCI2$uQqHwW#975_`9j9HW?d9OC?|b* z$#tlNHSa`D3yC5q3ESoNzEH$RXx5+IWIhN*+FXXIBVzhA2EhJ(Lbk=zw7Rm9mhY{k z2X`K&dmk-#Wj0-yo}F?ZNdLVPg0E7kYbw$g4CaRrABhOEdO9JVxE+iAfy#qVzSAQw7 zXB-`9d{GQ0O{`79Iu)dehCDjeqtHM`*(PlteDHz2-7wa0XXb0rQ6kbpK9L5}LYWIA zhkWVA-3*}631NNQd0*T4`|$os`u10U=*<#1hSp^0zxSgL(=WvAUOF&BPw1;U&g>KX z@$Y))KI>L_6!&_Hs;^hvYa-8@eCv{b{fKiXa`Z)pZO4RN%uPyb zDVN8d=;uClY`K`?%6oZ6Y`~3o`dyscLmBQ747u9 z+xcfb8x;0YT<3S3t8J&f*irEg(i&rlIIe$(d^N}UxVOGW+~|j~SSQ#QzX?N!dyy4F z9%eG(?FNOt3D^U7%aalHp6an%jM*5cvFyySdb<7fU;lObz2Eyid%FG3@BEG#PdCcm zUd!Kzoqy#2TYpiq{t&cQ8>PEajqtw zjW9TV2Stb1cE<-$^;CTOm-o{D@Bj0)^k-tc+KwEdS3(9$w5#GeOi!Ow$GWE<9xNEU zP5zaTJg)M2poDB8Ux;b>6l$PnK*>{=w(iRSkk|wKtUHGMz1N-IO5Dv(pd~KnRj(u4 zA8n!v$@i2grBmbf(mKAnk&f-v^HaKHn&i^}?ZjKtCiP!Q^(F^OGgBw?^vV3_vnan; z?>`}%ME&cb|iiu zA%DmZZXOHPue)G-rZ~vda<}k=(5%Icg&%1Z-q&s)- zN|l@To&#iKJb`W9tB=059TdcGw4r(-XH6kXjHj^Eu>(7qYcO#K z;1<9b93N^4VXp5aYqxW}J3u$C^DgoT`;%}4y0t@*|1pMx8G|zZW}GvO^p&rC#h}~w zzW2TKyTALp=Cfzdb}eTkdU0q3x^?SJIz;@0aPv-+3>6_wRn3{`cSiI6Zo>TCN^3 zLcfH{Gmibc8SHgCSD2@o-vsq<@owZi6YrLH&w58c$zma&e|?-nG~@?(3y&E+kRK^J zh=H?Da*u-Q-iCB<1Js$z`JIS&P+y3f-@G#7^SgA8-))oR*d$q!FF>8pjXkwC3OKVD z;$3=2v-v`J6qaiwJcEl03x}82R(|ALtt2>~au{Avma75WbZt<2BQHs#M;AM?YloaEaA z2TMAY-t67yo3@DaH(*9Qo2Ky+%45@P~Lf7HuWAIu`9A?xuf^GSDk|yOGMR zz1dWb4YC2Y@!RFOI|$PYy7tB$@`*~+@=kLz* z;rSL|T^tj_+(R6(Za2RJYzwaK&k^;H7`Me(obdrn9RZ*ofo>x@N;Cr9x)ApTIDR-_%`f~!d{6qk$%#5RMJL%(_tcObejBz=qQmJ#_Nq8Oi3dE zRqQTvROzUKZed78eFJRcca$~2HaO}X#u1%YbYM}>gX0`jcXEU5@R(BiH-G$3>7Tyx z{j_}dkvB_tqQUWzrlR9K2$Sv|#JLb=-Kv>AH`(FP`m2U5=M^A-ulu zZsT1BjlvsBw42`hO!g*{+<21ND^2oc;7Ia4IRL0t^tO2o=soeOqTh(uo^gIw z?TU4)L&EYt%YZyEI=Ai=>ij&5b)ZDMHk{)T;J(h)X_{KZ2NAKOc=iejHZ7{^RCP24f#sb6Y_(3@X zbo>3^|NRl@Hll6xTyLZhR5#8$5!Y#8X`E|sn*f@)7Ourqb}Bj{fEx`o&qoIu901)> z263R!OPw}4reRClv+@ukPmno4H}2;io?&eOnEX7dMBV@-!laY*P)>)DkQKcLU`;;2 z#KHNTON32pcN$ zbrX|w$lsOoEnDvm&ZkYfrvX;tIf(nvW4%EG93Ed~uxT$N00lj#EA11JN{;ZJYCO_l zE=e|knE-6|O?nLAhvyCa)a*3#-jZ_5QVxjE%@Zi_yZ*q~ zRWntdRdf8;sH%+cy|VOjBFAJJ$1`u&aP7dPrPtb|7U9^n1pe5-U};M|q!llJ(!92b zp^bntp`P%!3u=QPSzZq={f6ho>(*gOd61sYaoNDBUZvU6qr$hG_9<<`O~3z=F(-L% z+Uf5R*boV8_HLUo+`Bbrn>EbcUDR)!icD{t)Z~@q_SO5zMhxk9LpQm5V>Z!A#`If= zK46WoarhAu-WU2i&-DsnTzu~#PDr}3gMSbDv6E%~jECds3@^M!c_RK@itsJUOc=gP zfv2JK`7oS_>=D)pe(K3}P~2gH_jPQf0O5A?=1qD2`R7g0V`5v`+R$&OL5$S>0a-)5 zGhHsLejgpIlQb~t9MiFShwh|X*wF)CBJSlm7iZ#`b3UvKJ+2nr@-~c%SW?ISD+uXy z0>=kw>Wn%J<<6Zuwr&_C6;^K1(yjOK_pn>L;$5PyaJ?>h=df}kKhzD!T=#Igx#7ST z`ul~`UtY3}5|~QrxN-T8?NW-nrI6N(xhh^ye%wCSA)QlGanzG2!G3-i5RfhpDUusa zA7Pqw_<;v)atof2{OBiqDrY#g)5s!CmJvE;O$I5LKF|vg zKV@U_Q*Ioj=bg}k+%oco^U1ZO4ieYSYZ{H5G3!CSm&-kbP4#3Aw=`{*zO=k79lb2G zPNa3{_2^~f1e=wwpG&X1rJ%WW(y!^Zn+5<&YwFi_=lzhiK`YBt)&lb04Sv4U1;n}B za{=0YC&26Ja~T9yO1ECJR6UgL)bHh+HAqh?zJ6QMFY<%VgKNWt)o#q-n4B3mtGE~5 ze9HV;MedLuY$m?s&ED1>(A%ixV_1exKhPx}AQ&G2ftkt2)W!5*l4} z5_l2Wg7Qb7qb~T7KAZtFZ0m}9+v#TM#zqPeTN_)Rbo1-DzQ8`NceE(_5NE!Q6wR47Uk_}D<@Mrb4zu}FQwCj2mLOja1zeySY0-E zNa~m}(UM7%nM^a)I=3>j66-HC!h{?oX8IdVn7+TsT5~E{7pKLOy6t!sLA|XsW_6Bn zMp_M`zgaCbE4&F-v7W}zCH;Q9LcZ4w!bduQaA|Mo}n%YXNV z`IiIjDX;Gxq)<`-*}>am=yv+UM$g1AaJNd2c#PW732?u8^1(^q|T^;vKU6v&FhMH%Lh;D$=^9IZ{9QNihA<3-T0uP z4!Oqr*h#v%+gWG*uEVAIs+>D@Mb4kRDkuMV&NfRpck)VlHR4fd_s_V9D`hJDYaeSn zvU^SJfz;1CA3SfD0)JNMY*!p}sx$6>!IF~@97eh!KD{(eSYo-O3Od9a<)~@4_rq?% z#e+X_tVnsz6#FDUeres%01`qbRRBHy6j(kPA(+P3cW7FYT~EF26eK0J%p$#JUB)#p zGfrC>ac@%2Ru7PK+za$RBbxL+-+;iL;oMrF!8OJUMig1dgjG*StAUkS0L!=jCw(mv zh~JW>f2_PX#~*b#PkDJc&}Ow=*mDZIm1~qeC%7jor0IANr1~^2>r>Rt*}9WiMi?N? zf7|Uqd(7&%{!riOE?#rfb3=wCRcYG7G=_OFXkIP5VV?C`@W`rQ{ffRDXe$x!Tlmqa>LI#yTmoummn%x<7__VC<#2l8O& z&YhcrbPEYZ1VU$!gd%n6ov$yx4tV*Ql5YMn!{F%) z(*o*+@^)gB_luFH+cJJn_yz}>;$vc1dsa!dC(>6+2m|aS* zMywh^Kka_|>wj?59a7szpD4^NSDe#pnZeuELv4(BLU%yWG})9$$PeuY+iBGN z+jLUOD=kmEuJ_vdMm)p4b~}I4`&8^XNFDqS<#`>@=dm1PYNSDfuV+O7(%+clmSFax{~@ z$DBnu>-+6*uDcmscQgXyOT7V__C6>dBdtIeY&Ioeyu<2S3Db11R)S|=)v+lPk}l?%nh3n`32sEH00&{?lgXMCPX;|Gg_(+ z=idnYV*ube`5cXt7H_68&3eWrjkU({y_5j7#)!ozxXv!4Z9;)tN+KX_JLS(#I{OT@ zhZ+`OfqiVa!b)yZlzJ7j{%+nhMn>O3&u@8Lq^k1R8rN=Zkb7&E1)p<~6#2=;f4Hmm z#4E|O{O)AJe<9uefn{9|>fZH2>Y!}NL;hu**w$QgV9Tq=0IqLsr<|zJ`-#@G?Lfq+ zYxfY_80Enu??0?YlV7=8L8c{%ZOm0KI+Lu9^(PnZcH~k9wMH!l*>rAs`;JJDoNnGw zD$q=cO9`e>pKba#=#(MDbp#JupeByI$Rg&+m=17o#&TrUh6*&=RYg^6KNk_j0(VdA zWt?&zMLQB)RaGg{r)CdLpQDzH!nQd%v4d+w*;iclZIp&yihqO+e{!Fo(#J}XJ zQ<&zqh`1UfIc+-Ep;t4o92MggDca7kQm-cE{2ZFTYaDq&r)`7Q5iS!=g?7EBdkU8d zB`9L@(qPu}1OJ=SGty||H?FlVVjh#jbUAwxr{ymW(IFD+(Fb$jxm{o0c}o1l ztY0}th@yiI&B*bM<+KF-L`}Pf_tNFQ;E}b4=|sA)(0G0z@5<)JISCyfq0kqa8pAOu+r+T9-LOpt|Hs$8uFj`BP(OKHJk?qHJd}rip z>-nihL;dnwM4u$rg-!gCJ|jefTFM})eTR`x;F}rTZ&w?? zgPua}asArN2Fnwl!$rG;zC_`!zqEcbZV)DuQ?MdxFTIoE@CMY^&kWj~MIJ(s~6g1nfhY*(f?+32g%aT z|1Is#Brmk!GR!X@&l@0d4xhW2Av$Ar4USp9)8bm&z*O_HL=#=v!h@n& z6Y#98t1xSo{N3MY6&v1v53xc)C$X)vt^?5Yrx8+Ujm|^Qnw876wuGkA1cLm)?09yC zz(x{M5p#hC-G5K!OV$rnttuh{u|Mb%raS)h^UaI^NNH_Q0($ExRCp&(8>eNLc2C?AT%ScF%(mS}tf7#Ez(H z1+NINo29#b=#lp)V+_B5+M4VTlhn&Rcpu$iF_O+J%K8P95Pz`( zzCr|FSzH%CoQID2B7%VrXsZY3YtX|EA}5KizPX-L0|Xp=iMB|s5ZV4wl5XQFjPp3m z#`4Sq%ytn;0b5_Ef}}b_DC1UDJXjZl&@Z-lA~>__1k@SXsyMX=Rl)n49$St zNQ|N*qpWg9vCYsAX!%~Ze9m{jsfA!uwF7AKXNFCQj>;DW9sI42XU<12W?^+sonhiC zR$hH9EuMqMZ$uB6-5pf+(7Xu!QW4tX(4Bsg~}_ zyp7W-b~1`nD-g7!5_%sWD4y2Cr+^-cGbn~%I581>d5=#1exg)CqgkrMIvw{m+KxY4 zXhe?RaFP0fb@l^KW!96>Us{UvRI2QIWAoH$O=W$g^c0mQ2-Col!&h~A_Fhh*04zII zv(lA%4`{QjYdrOQq_FVgB%dY&$lD%jY8VM}_EZ%=Q(Yd!(v<$RXFx8?)U5B=Nq;%K zg>Zk&poH*LPPoc9zYE=(ldVX^zR1E&aioa%mZJ0{=Gj8g4{{WY5U~-o@8t9SOK?|6 z&`T=ai`!Xv08IzqN=#mHp~(=xS%vU4un|$U_-DW9rGA{zh^|9Jc;jcBaFIq^@_;1Rdj00zbUGMLx9% zclci7wfRFewSvlAU_mK|0vA#ZnM#p_Omx})Esz{L>6%`Tg0gYE5jfvLsoxGBW*NYu zyjCGdNMQn!frJ@%ABjdCsC8Jks}~hCndwW@iaLfyvaIx9C5rk5zcP-EOeR<)>+jq> zE{Jre*l*2$^Ze=wUM+dg{fis1-lGtCyee0k@%6i+C!t(?mbb`X73gCV%$g}rOlOZyo&1%Wo^H0xI=v0E!OjK9-bH^E&?#yp4 zD)Ah(SfXGj(V~oR-?wR}OVa&B<*M^oA~lF6CHhi3K3YB8NIB_^xd;Xy;QA9(q^F6e zn0?SFLcul61QhCDacR8T6#q2URvw%?lyBmW40dWyRjWSbzS-!`plAvdOG*EBcAGHG5tKtWA?_d`I;N#)$0V?8S&{B z$hjRh+g!qbr{w)HmGt&nhc}e-;mqoOTm#ebg5kfUrDH$mgWMLIMy3pg_+9tf3ci@SRcsgX3*3xdQ|=s&5v&wpsD5h*g~GlGYc)T z1N3pe*-ck;)HbZZ#M95Bz$Pn4#}4X)w7L)79|E5AkAM$J;hrwp4i2eLd@W}xoSbzs zo)}CWO^1+;znJsV{!w0fDb-y#CAx(6oNa6oDW_ht2XxV76n6uV-KOu_8`#KXF;6?V z(vr>3xf^ca5)?~e(L>~zK&f*R9=3|edv6ZB3i8}Ap?9(LzkN84&QkRMH`76BqI0Au;!%hEo`Z0o}Yr&r)dAG3qUwb!U^ za|(2}@;}$TkRFjjh_b-DEIb$h9ew~v5?uYQ@sB?q!gTIB9vrmvga+~LUKc>Ls~l`s zif9`k&;VWdYJda+K`pf6@WduI=Fr>v+yAbaEzI7oGlBaby@GvT*xx(b7`nmM3IStM z0=$Lv0z4{->5sa;nR0IpV#f|xNlB?}eD-I+og{XnVotHmFRewCdMQ$s965 zBW1RM8CHxj+4zHB*gVI&{zUGSl1s@1DiQ|+*x`rAzI>5Ee%NJvLXJC@+~N7D)=>Z! z?wcU$_cp7FH`MCRVxwa|YCh&h`QPOrAYmJx;v-q)^ z(ygMm%a)i9Ku9HYTQWKYmQsD@`4nX3F1_s6SL^Y@)i`aw#l*fs;6zMIj{ksvqv(Qm%TmN(wE7@Bdfi%0(9 zcTATxGRtnYi$wVh&syOWeTG)vbN2{#e@nhhly({Zo9Wtv%_m3d{C9*D5&z2N;gUlZ z*p$3s)%D*a%rqo9&R8<~6JK}jZ6rH1rm=vy>#p6Mf#|9OQbb;dJ;ut=BwKj2OMjJu zA1em@!vGRM)LUqIu#2<8eIoMxP~=QWuabs&;S2&ZDNk^j8Wfjom*Ca4!>;n+faKNA zPoS5Z=aoK-5-15--9;7_jd)7RNUXu+vef3*=P4<9YV3;!Y}zwUV6B{{W8cr*7BmS7 zrgMH1no`xB?xPP<>!%AtxUoYET9gIb zna@*PGRm?(A&xr>-u7Jd79t+GDC3J4PWdI+o_Ew=9wL|DaX91JW%W?iWCS%{4UVbk zryO6bI94Qk$pE^f0sQ&ik#av)9duJK>8gdCP++9F&F9-YjY50^y{2Qri87Cxox6ss zks13@?U}vZ20SPDSv|Aj7yX`5+EU3KnR(;Xqu9Uo&JRA4?tZQ9yz3+9_&@2%T4_$) zIw=Zw``r|VJ$IF8((vyd72@|Nx?z%8H>IaPemm(l{Vkml%@|VE0Y$VH$rF)=8jpNWMeDd~1|DnZ+fSBQwY^wZd$LC}@OVEN@;>wG2aVMTK6B7J=V(kW?L#}E zNF^KQ=#|v_G8kb**eO(TI)%UD zAmPKBOmKDkiIbjRVszj>@QS8%on0y$m0j ze^4YRU3$nmnykOA8_SjN`4yCdD#|L%EMxNJ%<3pSz|*xVEyy17QzF=*X##iuEtsNz zyvP0ixZHI)+>Z1ZZzh+u@nWUkyEhGx?u@oh z|H$J#8odsG%jJEFhi_p4-&3$9JvN|0XQRM5pZjY}Zqk`U=%qs{B>tVtd}}~@f1_H( z_6DQf9Lo!+-jrsm9^B@&Vo$+rSP2o~kHi!((~EwEjScLCNX5r&_@|24qmLn5khm0e zl5)L{>pG=UynTZHL~#v&Ol2Dw92o*KoUK8Xs8*Sf`6}vzS#)z zm7ZzK6HVtTB9+&Z(LG{g0$RTSqCO~t&D#V(0;}n6@|}+PoCVVUoQXW|c|X4~z-8j> zG02)zk^Bak@u_k>4p%kX*y-OyN1prCbw2+XMX?Ka*O@KuA*YU^bZu8z-zMLs=(_Jh zAlw|Kp7656VZ*SQWR!~KI97j!8Tz&d8e~Y*A3I!to)Yd;8pTL{`+uUbmnR!T>N2y@ zO?++h$%;y^xjb@JE$AyguG&afrpXo2;b=tvuIRAOeU@dF*8?eR2bXjewCV7zh&JxM zTCRP+-Pd8CAy1SQb9@+cBkCdmYAiW`u6~#cpQS|Ue!uuc5kS!+qb@PRqG;;4s5(lOl2?tN$8XTN7} zIN%JLJR6V+umG;_nABR-qPhlVMy{$t1AT8=P;T$mtT%kpPx8_sg|(rLS6Wt{Y`Vs8cx_-xZYAdbJ9!J_VWDswAWUOmZoWC8pEUA)#k8qpYMpH zwqJ$ArhKwQs@evNO-9<8TT}NsWz@~lWQtiPCQg2Ygki8NQUbLnxoioZ)lRR4&Z4{M zUzIzt|5|yMJG<-QKQ9&=^UmLJTHEByf?lr4047w^pMsg@qxuhV>UR#Wt2^Mk=@*>N zrJM&tPUyDcK-N-?15e}uKA)QteZ9#{SG#v{dU&#yRlfOW68=r{fucEQal6chM%14s znYKbtn*c|Co?ft_A0hKW%aBQ4i>hm{$z9@E}EtmKOQ+;BNwAEM+gDrAyq|dvXumtf;=@V>!|NF-k1&b-Ty6TwU`(hJWF}`RR zurfY2^YrN6WwLM=Cc-SvrD5KS4}<`nN0gOLEp&s!ws~Z_mdSsMB=Xn$@ltn zlRfsJ&CfJ#M}1fP0pv$-*Mj#w5pBunITU20mgBxK{s7UmGI$KM?D>5cxN^5HsnKf9 zvdXgZg&fl`D*~6J6CuhmCkyW|k?J);sNcrrz&p%Rmde}PUHM5Ddy~Pv_lD`<@6xQ< zmJw}In#m!DObgDC9anZJ296+k1pRmtpXTPcR>*@xW~YHq958(*xgph<(3NCp=8* z;`=Euh8l0(iXQ7i9|Rn&9{Nk7`cyNu8{Fm7Tqzg9IilVk%wsO`AM}DOcrdHgzpgL?G)=2ls%<73KH=OwZ zEh!U-JeyhjC6y@Aw9JA^;3#vs=&HHiLE&Dj0d&Vl`EUpok}=^ky8L3o?zLGuri=>h z!Q@W&PmDSFm7U{_qS0VFWXof2=I&nIj^>Yy&ql;oMf%rF9$sl)ua$(oDq z&MdceLFW6!cnJDVnzro?phK@ho?|)X_rE|~pkgHrXvkgG^^XP!q$BCIlMr%upGD&=Bv`yjaMiNd(E-ZL+c2 z#oD7{u*|nhIq%67X;QpCa^_kdV>o-Uv++y@?Z~3&&#wgh1<#_-O%*zE*o|KAibs$~ z#DOEc+6D`=YJODhri*PDcuo+MbFjc248;p)H++haKv8~O0u>J3;%()s*}3aSr4;wMjE?71mioG`LzGxAG#rcIE?@Ca*i?Nm#6IPaD3; zlp~v*$G@K+9lceM33Ge;<`T8Z*6gCqzg)d+6esgu zd@4RR?a99zw#7L~jBle1J7A+QV7bjAwV*&N?$&R<_%V z2fuh+06iBz^>m-dz1Wauf+srV?Xm5NjR?}KL(vcIUb_i??7!r%NA7IRu+`t)vv%%j6hhc#`pe`=Q zr26D%+^d;CHRDG%@I(rZ6&}eyuQkhe;7rX8A`x~UPe-ZGjKhQ2!T0B@udL>hvVap$ zoV!%`R)_+#Stkd4eQ6Z}G}xS%QjNxK7Kd@J1=j-59u{*%Q5Kzq5ou*#qbQ&5`r}T;7&yFn9|}3xQB1uzz6( zB@uj_vc}r}Z|z2V&~<}(n|mMBEA$K)$|iq*n#_)*rqpb$?jxqwY{frmsKAafk8Jv6 zxSQh)86=1-pt8KL8dZ}*{_YP|42O6%+QHWt(O>#BLC_$D4)3FuCWasuwJ!%#4W#Q* zlT_3w{oq$>Of8W&U1o%L-v`_;N|U5L4sZD-efQ%EuFukfP}8Q@=u#13OdxzWJ>{pV zWQfnYOXcH{Awqtrg=8S<>N7rw&TAgu`H`dxlT2^EwLJe|t2Y->V*TMaX_XPk`gWQ0 z)$=tma}k$CCY1y#)7x;DsSDayPrE?P_8FS4Es#Ehvdh&6HpaFANW4AZ@D4^;LmuwGt99LkuyNM!BzoBm}kPi#R0!RnPynCZPb z?Su}SSNt>w?Lh_{jId*00$2L&!V3NZsHc)JLEDbDfI&cqupN5N%x!eZt=F}~%aN+iQ)BX}Hx%SkC^7Q*^z2J(4)6kuD!c&0{?$1n1|BSjo8@xdLQ zXkkB!kJ^OgXCHd5t(>4gn`87=jR&!hCk3>qzKMge0nUV%w+sZEmOPBzLo}iPj8?BZ zC%0x0g&7N-#Lv&+VX)X(4eJBtUpjyAh*|=9Yz-@fS9ni)a-jDy$!3zl#=MKYMi)7i zmQ{nj1GnNI(NUQU2gR-&$rKTZLWwaKWm_4h z2%*BKp2-sVfY^7~8scB4ZfQL2`v^|e^3pETDKh4E{D47d9-Qh9yfK~gnHClfw{Ax& zDf>UO=Buhv<=mS2*%dz)BK@#7GrMIjfgXHJcLQQ?I1))XFjU%wT&;5LbjWP;h3C&k znD?KxQM{raF!C=$??B+-Oc0;6yc1&+pNdH9YegzPMkR!UUS^7BPW*vt3 zF@4x02$nx~BC2bbmuY<>bCikGcJvokpzZe;r?BFqXX$MR;XKP~%I|(n&_$~IfONl7 z9Ub*lR*q4?{jL8@`oha_&)ezb5Zfo3t+5&%b_p6CoZE-J87Cx44qIHykPN++>kPdI zR4L-!6v`s5z-2&H4U-k_t~^4F8hErFY1k@!+425l%YT3TAkL;=@eA+)Meb*^E**vV zk*rATCVxPubU1-B^9*znGx+LPzu-jc2cB>y+t?u(Pj-^0Du-q~>T5B8{|* zK-#Srl0|O2OJh0~oxt{1QhjDyBTb8q=>}0HUd|;Q7F)bWW>mTdt-2koDNYnsTg9HU zKAVEtZM85n13bNsX2m5Znv4kH&vM*WV;?dFg~w+c4^tyJ88|qXS;CB&ZCkzx&*Dg} z+i#^7k;DIl?80y5&0hpe%p`@ToIp(T=5nd`V*-do7U;4p-OQR_S+-~+-}PXzi-YWa zbjARomtAAT!reCgd2EQz6tG53mQER8R-ETaCHC2tVeT z($YesgD$>uE61Ju?K=5(B4}06g73XEdm5O|hBqB-*#hZ-B&CR_xUNdx)G>g!qXGA4 zLIi?)Qpg>rh}RJm40iBDE0Ym&X95XiwBRF&uAVRKc*Mneaqh(r!m5&f7XHCeC+=BZ z0}{%i^6uzyZTp4jgEs%`By*`!I~Z6+g`m1U5A*O$tjdUw$js+SRgO^O1fqnh%RS+< zZn`Q~qMGH|N(x_a?rr0o_LaJR?^jkuI6MC+3o$2<`W{F$`syW!lQA)cXj9AbI2`NA zP=)f_w+3fX7j(I*4>SCUd1cgZ@}9g`+h6n4J08|7&-}Xdx(u6Gf*-p)hJHaM_a#}t z!bW}Nr@_M5VJ9S@qP99MEpR6A$@DI(T}N5{{M4Yx@86?pz*SH0?k!{~!*6dB$x4%Z z56Ko{G>IK)rHa3)Dd%88rr5e?a#WSIff2NOEJ*o+?$g&(E|oGP9s2Clx3joMCEq)h zUTviX0g!5*eh(~5)r{rH#=vw>p-)vKyc%SHy_&ppdM#*Nr1 z-x>=0pCj>Hs{B~KL7j|Yf#0sW`Ow>$Zei$37){i%zV#E@b=kP9Q{JloHvi{Y;P2iT zvkIolZLC{SeS}{AWBIq&kF;gm1yh8+yrS0Y zdDT1nte0DIftqaMo++wUJN6`3o%ASIF+HX0nE(0&1av8dl7|Meb<&RrB&;-03N7u$j;7I9U-d0KY$JC1@ZWiP(^SmKIODNItFyGz8kjOx*>lwjm} zRKctR#^ZlMH1j6ji&WQ2+2u}zJwELQ4@;v3`cq326f3H#IFnsGA5D31YA8Qk>3ku= zec<`i{$F#3O)6aTtaaBriV!~0D%mjwgnnnT@9d%~^O>z(epYw$w&;ZAa1DZ0GGyfY zZ%;vZjTHiyl9KnoR|WKhl-_gSKJg?_3Ub}z-OGOA+uz&iA>G^8S!gC8<4O=f5HazG zhxVPjKm^$yI_lwD@<9l2y#S)DuUw&+y~PCFiN=K;=ezZ!V$#&+F0@E!r`SU=85B7s z@fb4kzfV0?2_2m63BF0_8u@Ai;E+1UL#pi#*D=PLX|giRvRTkveo=qStAN zV!1{XrL=+NLHh^X>0pwVTTxhX9sS8u_x|JW~&d+PPv?^R#3voS?kbF3t=@a)3+I^I3=u7}KQzQOLt zwkv8zutc*=7*w^ya5VeOkg?UfZ%D2>uR3+s-nE+!QK~6XTqORR`m411Cqu&=7{`M5 zDkz6+w8_}J5o#LtjCGOaH3iDKi?F`@8Z=&|!j}q5Zz`M7te;X!cxsD3rOFQ)0gknj z|Cl4x&fkedj%FEUZbigV7iO{>s?4X06YCGO-c~^Qy;Wb+7d0zZuQ-DC4cuBJ@xf